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+ <h1>Source code for binarycpython.utils.custom_logging_functions</h1><div class="highlight"><pre>
+<span></span><span class="sd">"""</span>
+<span class="sd">Module containing functions for the custom logging functionality.</span>
+<span class="sd">The functions here make it possible for the user to define binaryc output logs on runtime</span>
+<span class="sd">"""</span>
+
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">textwrap</span>
+<span class="kn">import</span> <span class="nn">subprocess</span>
+<span class="kn">import</span> <span class="nn">socket</span>
+<span class="kn">import</span> <span class="nn">ctypes</span>
+<span class="kn">import</span> <span class="nn">uuid</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Optional</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.functions</span> <span class="kn">import</span> <span class="n">temp_dir</span><span class="p">,</span> <span class="n">remove_file</span><span class="p">,</span> <span class="n">verbose_print</span>
+
+
+<div class="viewcode-block" id="autogen_C_logging_code"><a class="viewcode-back" href="../../../custom_logging_functions.html#binarycpython.utils.custom_logging_functions.autogen_C_logging_code">[docs]</a><span class="k">def</span> <span class="nf">autogen_C_logging_code</span><span class="p">(</span><span class="n">logging_dict</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">verbose</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">-></span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that autogenerates PRINTF statements for binaryc.</span>
+<span class="sd"> Input is a dictionary where the key is the header of that logging line</span>
+<span class="sd"> and items which are lists of parameters that will be put in that logging line</span>
+
+<span class="sd"> The list elements are all appended to 'stardata->' in the autogenerated code.</span>
+
+<span class="sd"> Example:</span>
+<span class="sd"> Input dictionary should look like this::</span>
+
+<span class="sd"> {'MY_STELLAR_DATA':</span>
+<span class="sd"> [</span>
+<span class="sd"> 'model.time',</span>
+<span class="sd"> 'star[0].mass',</span>
+<span class="sd"> 'model.probability',</span>
+<span class="sd"> 'model.dt'</span>
+<span class="sd"> ]</span>
+<span class="sd"> }</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> logging_dict: Dictionary containing lists of parameters that binary_c has to output. The keys are used by binary_c as start of the sentence.</span>
+<span class="sd"> verbose: Level of verbosity. Defaults to zero if not set explicilty.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> string containing C printf statement built to output the parameters given as input.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Check if the input is of the correct form</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">logging_dict</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Error: please use a dictionary as input"</span><span class="p">)</span>
+ <span class="k">return</span> <span class="kc">None</span>
+
+ <span class="n">code</span> <span class="o">=</span> <span class="s2">""</span>
+
+ <span class="c1"># Loop over dict keys</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">logging_dict</span><span class="p">:</span>
+ <span class="k">if</span> <span class="n">verbose</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Generating Print statement for custom logging code with </span><span class="si">{}</span><span class="s2"> as a header"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">logging_dict_entry</span> <span class="o">=</span> <span class="n">logging_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># Check if item is of correct type:</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">logging_dict_entry</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+
+ <span class="c1"># Construct print statement</span>
+ <span class="n">code</span> <span class="o">+=</span> <span class="s1">'Printf("</span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
+ <span class="n">code</span> <span class="o">+=</span> <span class="s2">" </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"</span><span class="si">%g</span><span class="s2"> "</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">logging_dict_entry</span><span class="p">))</span>
+ <span class="n">code</span> <span class="o">=</span> <span class="n">code</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="n">code</span> <span class="o">+=</span> <span class="s1">'</span><span class="se">\\</span><span class="s1">n"'</span>
+
+ <span class="c1"># Add format keys</span>
+ <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">logging_dict_entry</span><span class="p">:</span>
+ <span class="n">code</span> <span class="o">+=</span> <span class="s2">",((double)stardata-></span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
+ <span class="n">code</span> <span class="o">+=</span> <span class="s2">");</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Error: please use a list for the list of parameters that you want to have logged"</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="kc">None</span>
+ <span class="n">code</span> <span class="o">=</span> <span class="n">code</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+
+ <span class="k">return</span> <span class="n">code</span></div>
+
+
+<span class="c1">####################################################################################</span>
+<div class="viewcode-block" id="binary_c_log_code"><a class="viewcode-back" href="../../../custom_logging_functions.html#binarycpython.utils.custom_logging_functions.binary_c_log_code">[docs]</a><span class="k">def</span> <span class="nf">binary_c_log_code</span><span class="p">(</span><span class="n">code</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">verbose</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to construct the code to construct the custom logging function</span>
+
+<span class="sd"> Example:</span>
+<span class="sd"> Code to log and terminate evolution when the primary star becomes a NS::</span>
+
+<span class="sd"> if(stardata->star[0].stellar_type>=NS)</span>
+<span class="sd"> {</span>
+<span class="sd"> if (stardata->model.time < stardata->model.max_evolution_time)</span>
+<span class="sd"> {</span>
+<span class="sd"> Printf("EXAMPLE_LOG_CO %30.12e %g %g %g %g %d %d\\n",</span>
+<span class="sd"> //</span>
+<span class="sd"> stardata->model.time, // 1</span>
+
+<span class="sd"> stardata->star[0].mass, //2</span>
+<span class="sd"> stardata->previous_stardata->star[0].mass, //3</span>
+
+<span class="sd"> stardata->star[0].radius, //4</span>
+<span class="sd"> stardata->previous_stardata->star[0].radius, //5</span>
+
+<span class="sd"> stardata->star[0].stellar_type, //6</span>
+<span class="sd"> stardata->previous_stardata->star[0].stellar_type //7</span>
+<span class="sd"> );</span>
+<span class="sd"> };</span>
+<span class="sd"> /* Kill the simulation to save time */</span>
+<span class="sd"> stardata->model.max_evolution_time = stardata->model.time - stardata->model.dtm;</span>
+<span class="sd"> };</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> code: Exact c-statement to output information in binary_c. Can be wrapped in logical statements.</span>
+<span class="sd"> verbose: Level of verbosity. Defaults to zero if not set explicilty.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> string containing the custom logging code. This includes all the includes and other definitions. This code will be used as the shared library</span>
+<span class="sd"> """</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Creating the code for the shared library for the custom logging"</span><span class="p">,</span> <span class="n">verbose</span><span class="p">,</span> <span class="mi">0</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="s2">"Printf"</span> <span class="ow">in</span> <span class="n">code</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Error: There has to be at least a printf statement in the provided code. Aborting"</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="kc">None</span>
+
+ <span class="c1"># Create code</span>
+ <span class="n">custom_logging_function_string</span> <span class="o">=</span> <span class="s2">"""</span><span class="se">\</span>
+<span class="s2">#pragma push_macro(</span><span class="se">\"</span><span class="s2">Max</span><span class="se">\"</span><span class="s2">)</span>
+<span class="s2">#pragma push_macro(</span><span class="se">\"</span><span class="s2">Min</span><span class="se">\"</span><span class="s2">)</span>
+<span class="s2">#undef Max</span>
+<span class="s2">#undef Min</span>
+<span class="s2">#include "binary_c.h"</span>
+
+<span class="s2">// add visibility __attribute__ ((visibility ("default"))) to it </span>
+<span class="s2">void binary_c_API_function custom_output_function(struct stardata_t * stardata);</span>
+<span class="s2">void binary_c_API_function custom_output_function(struct stardata_t * stardata)</span>
+<span class="s2">{{</span>
+<span class="s2"> // struct stardata_t * stardata = (struct stardata_t *)x;</span>
+<span class="s2"> </span><span class="si">{}</span><span class="s2">;</span>
+<span class="s2">}}</span>
+
+<span class="s2">#undef Max </span>
+<span class="s2">#undef Min</span>
+<span class="s2">#pragma pop_macro(</span><span class="se">\"</span><span class="s2">Min</span><span class="se">\"</span><span class="s2">)</span>
+<span class="s2">#pragma pop_macro(</span><span class="se">\"</span><span class="s2">Max</span><span class="se">\"</span><span class="s2">)</span><span class="se">\</span>
+<span class="s2"> """</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">code</span>
+ <span class="p">)</span>
+
+ <span class="c1"># print(repr(textwrap.dedent(custom_logging_function_string)))</span>
+ <span class="k">return</span> <span class="n">textwrap</span><span class="o">.</span><span class="n">dedent</span><span class="p">(</span><span class="n">custom_logging_function_string</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="binary_c_write_log_code"><a class="viewcode-back" href="../../../custom_logging_functions.html#binarycpython.utils.custom_logging_functions.binary_c_write_log_code">[docs]</a><span class="k">def</span> <span class="nf">binary_c_write_log_code</span><span class="p">(</span><span class="n">code</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">filename</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">verbose</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to write the generated logging code to a file</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> code: string containing the custom logging code to write to a file.</span>
+<span class="sd"> filename: target filename.</span>
+<span class="sd"> verbose: Level of verbosity. Defaults to zero if not set explicilty.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># TODO: change this. I don't like the cwd</span>
+ <span class="n">cwd</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span>
+ <span class="n">filePath</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">cwd</span><span class="p">,</span> <span class="n">filename</span><span class="p">)</span>
+
+ <span class="c1"># Remove if it exists</span>
+ <span class="n">remove_file</span><span class="p">(</span><span class="n">filePath</span><span class="p">,</span> <span class="n">verbose</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">verbose</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Writing the custom logging code to </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">filePath</span><span class="p">))</span>
+
+ <span class="c1"># Write again</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">filePath</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span>
+ <span class="n">file</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">code</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="from_binary_c_config"><a class="viewcode-back" href="../../../custom_logging_functions.html#binarycpython.utils.custom_logging_functions.from_binary_c_config">[docs]</a><span class="k">def</span> <span class="nf">from_binary_c_config</span><span class="p">(</span><span class="n">config_file</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">flag</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to run the binaryc_config command with flags</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> config_file: binary_c-config filepath TODO: change the name of this</span>
+<span class="sd"> flag: flag used in the binary_c-config call.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> returns the result of <binary_c-config> <flag></span>
+<span class="sd"> """</span>
+
+ <span class="n">res</span> <span class="o">=</span> <span class="n">subprocess</span><span class="o">.</span><span class="n">check_output</span><span class="p">(</span>
+ <span class="s2">"</span><span class="si">{config_file}</span><span class="s2"> </span><span class="si">{flag}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">config_file</span><span class="o">=</span><span class="n">config_file</span><span class="p">,</span> <span class="n">flag</span><span class="o">=</span><span class="n">flag</span><span class="p">),</span>
+ <span class="n">shell</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+ <span class="n">stderr</span><span class="o">=</span><span class="n">subprocess</span><span class="o">.</span><span class="n">STDOUT</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># convert and chop off newline</span>
+ <span class="n">res</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">"utf-8"</span><span class="p">)</span><span class="o">.</span><span class="n">rstrip</span><span class="p">()</span>
+ <span class="c1"># print(res)</span>
+
+ <span class="k">return</span> <span class="n">res</span></div>
+
+
+<div class="viewcode-block" id="return_compilation_dict"><a class="viewcode-back" href="../../../custom_logging_functions.html#binarycpython.utils.custom_logging_functions.return_compilation_dict">[docs]</a><span class="k">def</span> <span class="nf">return_compilation_dict</span><span class="p">(</span><span class="n">verbose</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to build the compile command for the shared library</span>
+
+<span class="sd"> Inspired by binary_c_inline_config command in perl</span>
+
+<span class="sd"> TODO: this function still has some cleaning up to do wrt default values for the compile command</span>
+<span class="sd"> # https://developers.redhat.com/blog/2018/03/21/compiler-and-linker-flags-gcc/</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> verbose: Level of verbosity. Defaults to zero if not set explicilty.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> string containing the command to build the shared library</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">verbose</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Calling the binary_c config code to get the info to build the shared library"</span>
+ <span class="p">)</span>
+ <span class="c1"># use binary_c-config to get necessary flags</span>
+ <span class="n">BINARY_C_DIR</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">"BINARY_C"</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">BINARY_C_DIR</span><span class="p">:</span>
+ <span class="n">BINARY_C_CONFIG</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">BINARY_C_DIR</span><span class="p">,</span> <span class="s2">"binary_c-config"</span><span class="p">)</span>
+ <span class="n">BINARY_C_SRC_DIR</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">BINARY_C_DIR</span><span class="p">,</span> <span class="s2">"src"</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">NameError</span><span class="p">(</span><span class="s2">"Envvar BINARY_C doesnt exist"</span><span class="p">)</span>
+
+ <span class="c1"># TODO: make more options for the compiling</span>
+ <span class="n">cc</span> <span class="o">=</span> <span class="n">from_binary_c_config</span><span class="p">(</span><span class="n">BINARY_C_CONFIG</span><span class="p">,</span> <span class="s2">"cc"</span><span class="p">)</span>
+
+ <span class="c1"># Check for binary_c</span>
+ <span class="n">BINARY_C_EXE</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">BINARY_C_DIR</span><span class="p">,</span> <span class="s2">"binary_c"</span><span class="p">)</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="n">BINARY_C_EXE</span><span class="p">):</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"We require binary_c executable; have you built binary_c?"</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">NameError</span><span class="p">(</span><span class="s2">"BINARY_C executable doesnt exist"</span><span class="p">)</span>
+
+ <span class="c1"># TODO: debug</span>
+ <span class="n">libbinary_c</span> <span class="o">=</span> <span class="s2">"-lbinary_c"</span>
+ <span class="n">binclibs</span> <span class="o">=</span> <span class="n">from_binary_c_config</span><span class="p">(</span><span class="n">BINARY_C_CONFIG</span><span class="p">,</span> <span class="s2">"libs"</span><span class="p">)</span>
+ <span class="n">libdirs</span> <span class="o">=</span> <span class="s2">"</span><span class="si">{}</span><span class="s2"> -L</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">from_binary_c_config</span><span class="p">(</span><span class="n">BINARY_C_CONFIG</span><span class="p">,</span> <span class="s2">"libdirs"</span><span class="p">),</span> <span class="n">BINARY_C_SRC_DIR</span>
+ <span class="p">)</span>
+ <span class="n">bincflags</span> <span class="o">=</span> <span class="n">from_binary_c_config</span><span class="p">(</span><span class="n">BINARY_C_CONFIG</span><span class="p">,</span> <span class="s2">"cflags"</span><span class="p">)</span>
+ <span class="n">bincincdirs</span> <span class="o">=</span> <span class="n">from_binary_c_config</span><span class="p">(</span><span class="n">BINARY_C_CONFIG</span><span class="p">,</span> <span class="s2">"incdirs"</span><span class="p">)</span>
+
+ <span class="c1"># combine</span>
+ <span class="c1"># binclibs = " {} {} {}".format(libdirs, libbinary_c, binclibs)</span>
+ <span class="n">binclibs</span> <span class="o">=</span> <span class="s2">" </span><span class="si">{}</span><span class="s2"> </span><span class="si">{}</span><span class="s2"> </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">libdirs</span><span class="p">,</span> <span class="n">binclibs</span><span class="p">,</span> <span class="n">libbinary_c</span><span class="p">)</span>
+
+ <span class="c1"># setup defaults:</span>
+ <span class="n">defaults</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"cc"</span><span class="p">:</span> <span class="s2">"gcc"</span><span class="p">,</span> <span class="c1"># default compiler</span>
+ <span class="s2">"ccflags"</span><span class="p">:</span> <span class="n">bincflags</span><span class="p">,</span>
+ <span class="s2">"ld"</span><span class="p">:</span> <span class="s2">"ld"</span><span class="p">,</span> <span class="c1"># 'ld': $Config{ld}, # default linker</span>
+ <span class="s2">"debug"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span>
+ <span class="s2">"inc"</span><span class="p">:</span> <span class="s2">"</span><span class="si">{}</span><span class="s2"> -I</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">bincincdirs</span><span class="p">,</span> <span class="n">BINARY_C_SRC_DIR</span><span class="p">),</span>
+ <span class="c1"># inc => ' '.($Config{inc}//' ').' '.$bincincdirs." -I$srcdir ",</span>
+ <span class="c1"># include the defaults plus # GSL and binary_c</span>
+ <span class="c1"># 'libname': libname, # libname is usually just binary_c corresponding to libbinary_c.so</span>
+ <span class="s2">"libs"</span><span class="p">:</span> <span class="n">binclibs</span><span class="p">,</span>
+ <span class="p">}</span>
+
+ <span class="c1"># set values with defaults. TODO: make other input possile.</span>
+ <span class="n">ld</span> <span class="o">=</span> <span class="n">defaults</span><span class="p">[</span><span class="s2">"ld"</span><span class="p">]</span>
+ <span class="c1"># debug = defaults["debug"]</span>
+ <span class="n">inc</span> <span class="o">=</span> <span class="n">defaults</span><span class="p">[</span>
+ <span class="s2">"inc"</span>
+ <span class="p">]</span> <span class="c1"># = ($ENV{BINARY_GRID2_INC} // $defaults{inc}).' '.($ENV{BINARY_GRID2_EXTRAINC} // '');</span>
+ <span class="n">libs</span> <span class="o">=</span> <span class="n">defaults</span><span class="p">[</span>
+ <span class="s2">"libs"</span>
+ <span class="p">]</span> <span class="c1"># = ($ENV{BINARY_GRID2_LIBS} // $defaults{libs}).' '.($ENV{BINARY_GRID2_EXTRALIBS}//'');</span>
+ <span class="n">ccflags</span> <span class="o">=</span> <span class="n">defaults</span><span class="p">[</span><span class="s2">"ccflags"</span><span class="p">]</span> <span class="c1"># = $ENV{BINARY_GRID2_CCFLAGS}</span>
+ <span class="c1"># // ($defaults{ccflags}) . ($ENV{BINARY_GRID2_EXTRACCFLAGS} // '');</span>
+
+ <span class="c1"># you must define _SEARCH_H to prevent it being loaded twice</span>
+ <span class="n">ccflags</span> <span class="o">+=</span> <span class="s2">" -shared -D_SEARCH_H"</span>
+
+ <span class="c1"># remove the visibility=hidden for this compilation</span>
+ <span class="n">ccflags</span> <span class="o">=</span> <span class="n">ccflags</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"-fvisibility=hidden"</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+
+ <span class="c1"># ensure library paths to the front of the libs:</span>
+ <span class="n">libs_content</span> <span class="o">=</span> <span class="n">libs</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" "</span><span class="p">)</span>
+ <span class="n">library_paths</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">libs_content</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"-L"</span><span class="p">)]</span>
+ <span class="n">non_library_paths</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">libs_content</span> <span class="k">if</span> <span class="p">(</span><span class="ow">not</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"-L"</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">el</span> <span class="o">==</span> <span class="s2">""</span><span class="p">)</span>
+ <span class="p">]</span>
+ <span class="n">libs</span> <span class="o">=</span> <span class="s2">"</span><span class="si">{}</span><span class="s2"> </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">" "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">library_paths</span><span class="p">),</span> <span class="s2">" "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">non_library_paths</span><span class="p">))</span>
+
+ <span class="k">if</span> <span class="n">verbose</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Got options to compile:</span><span class="se">\n\t</span><span class="s2">cc = </span><span class="si">{cc}</span><span class="se">\n\t</span><span class="s2">ccflags = </span><span class="si">{ccflags}</span><span class="se">\n\t</span><span class="s2">ld = </span><span class="si">{ld}</span><span class="se">\n\t</span><span class="s2">libs = </span><span class="si">{libs}</span><span class="se">\n\t</span><span class="s2">inc = </span><span class="si">{inc}</span><span class="se">\n\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">cc</span><span class="o">=</span><span class="n">cc</span><span class="p">,</span> <span class="n">ccflags</span><span class="o">=</span><span class="n">ccflags</span><span class="p">,</span> <span class="n">ld</span><span class="o">=</span><span class="n">ld</span><span class="p">,</span> <span class="n">libs</span><span class="o">=</span><span class="n">libs</span><span class="p">,</span> <span class="n">inc</span><span class="o">=</span><span class="n">inc</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="p">{</span><span class="s2">"cc"</span><span class="p">:</span> <span class="n">cc</span><span class="p">,</span> <span class="s2">"ld"</span><span class="p">:</span> <span class="n">ld</span><span class="p">,</span> <span class="s2">"ccflags"</span><span class="p">:</span> <span class="n">ccflags</span><span class="p">,</span> <span class="s2">"libs"</span><span class="p">:</span> <span class="n">libs</span><span class="p">,</span> <span class="s2">"inc"</span><span class="p">:</span> <span class="n">inc</span><span class="p">}</span></div>
+
+
+<div class="viewcode-block" id="compile_shared_lib"><a class="viewcode-back" href="../../../custom_logging_functions.html#binarycpython.utils.custom_logging_functions.compile_shared_lib">[docs]</a><span class="k">def</span> <span class="nf">compile_shared_lib</span><span class="p">(</span>
+ <span class="n">code</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">sourcefile_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">outfile_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">verbose</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to write the custom logging code to a file and then compile it.</span>
+
+<span class="sd"> TODO: nicely put in the -fPIC</span>
+<span class="sd"> TODO: consider returning a status</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> code: string containing the custom logging code</span>
+<span class="sd"> sourcefile_name: name of the file that will contain the code</span>
+<span class="sd"> outfile_name: name of the file that will be the shared library</span>
+<span class="sd"> verbose: Level of verbosity. Defaults to zero if not set explicilty.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Write code to file</span>
+ <span class="n">binary_c_write_log_code</span><span class="p">(</span><span class="n">code</span><span class="p">,</span> <span class="n">sourcefile_name</span><span class="p">,</span> <span class="n">verbose</span><span class="p">)</span>
+
+ <span class="c1"># Remove the library if present:</span>
+ <span class="n">remove_file</span><span class="p">(</span><span class="n">outfile_name</span><span class="p">,</span> <span class="n">verbose</span><span class="p">)</span>
+
+ <span class="c1"># create compilation command</span>
+ <span class="n">compilation_dict</span> <span class="o">=</span> <span class="n">return_compilation_dict</span><span class="p">(</span><span class="n">verbose</span><span class="p">)</span>
+
+ <span class="c1"># Construct full command</span>
+ <span class="n">command</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="s2">"</span><span class="si">{cc}</span><span class="s2"> -fPIC </span><span class="si">{ccflags}</span><span class="s2"> </span><span class="si">{libs}</span><span class="s2"> -o </span><span class="si">{outfile_name}</span><span class="s2"> </span><span class="si">{sourcefile_name}</span><span class="s2"> </span><span class="si">{inc}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">cc</span><span class="o">=</span><span class="n">compilation_dict</span><span class="p">[</span><span class="s2">"cc"</span><span class="p">],</span>
+ <span class="n">ccflags</span><span class="o">=</span><span class="n">compilation_dict</span><span class="p">[</span><span class="s2">"ccflags"</span><span class="p">],</span>
+ <span class="n">libs</span><span class="o">=</span><span class="n">compilation_dict</span><span class="p">[</span><span class="s2">"libs"</span><span class="p">],</span>
+ <span class="n">outfile_name</span><span class="o">=</span><span class="n">outfile_name</span><span class="p">,</span>
+ <span class="n">sourcefile_name</span><span class="o">=</span><span class="n">sourcefile_name</span><span class="p">,</span>
+ <span class="n">inc</span><span class="o">=</span><span class="n">compilation_dict</span><span class="p">[</span><span class="s2">"inc"</span><span class="p">],</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1"># remove extra whitespaces:</span>
+ <span class="n">command</span> <span class="o">=</span> <span class="s2">" "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">command</span><span class="o">.</span><span class="n">split</span><span class="p">())</span>
+
+ <span class="c1"># Execute compilation and create the library</span>
+ <span class="k">if</span> <span class="n">verbose</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Building shared library for custom logging with (binary_c.h) on </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">socket</span><span class="o">.</span><span class="n">gethostname</span><span class="p">()</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Executing following command to compile the shared library:</span><span class="se">\n</span><span class="si">{command}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">command</span><span class="o">=</span><span class="n">command</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">res</span> <span class="o">=</span> <span class="n">subprocess</span><span class="o">.</span><span class="n">check_output</span><span class="p">(</span><span class="s2">"</span><span class="si">{command}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">command</span><span class="o">=</span><span class="n">command</span><span class="p">),</span> <span class="n">shell</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="c1"># print(res)</span>
+ <span class="k">if</span> <span class="n">verbose</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="k">if</span> <span class="n">res</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Output of compilation command:</span><span class="se">\n</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">res</span><span class="p">))</span></div>
+
+
+<div class="viewcode-block" id="create_and_load_logging_function"><a class="viewcode-back" href="../../../custom_logging_functions.html#binarycpython.utils.custom_logging_functions.create_and_load_logging_function">[docs]</a><span class="k">def</span> <span class="nf">create_and_load_logging_function</span><span class="p">(</span>
+ <span class="n">custom_logging_code</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">verbose</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">custom_tmp_dir</span><span class="o">=</span><span class="kc">None</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">str</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to automatically compile the shared library with the given</span>
+<span class="sd"> custom logging code and load it with ctypes.</span>
+
+<span class="sd"> This function is more or less the main function of this module and unless you know what you're doing with the other functions</span>
+<span class="sd"> I recommend using this in function in combination with a function that generates the exact code (like :meth:`~binarycpython.utils.custom_logging_code.binary_c_log_code`)</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> custom_logging_code: string containing the custom logging code</span>
+<span class="sd"> verbose: Level of verbosity. Defaults to zero if not set explicilty.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> memory adress of the custom logging function in a int type.</span>
+<span class="sd"> """</span>
+ <span class="c1">#</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">custom_tmp_dir</span><span class="p">:</span>
+ <span class="n">tmp_dir</span> <span class="o">=</span> <span class="n">temp_dir</span><span class="p">()</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">tmp_dir</span> <span class="o">=</span> <span class="n">custom_tmp_dir</span>
+
+ <span class="n">custom_logging_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">tmp_dir</span><span class="p">,</span> <span class="s2">"custom_logging"</span><span class="p">)</span>
+
+ <span class="c1"># Create the subdir for the custom_logging code</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">custom_logging_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="n">library_name</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="n">custom_logging_dir</span><span class="p">,</span> <span class="s2">"libcustom_logging_</span><span class="si">{}</span><span class="s2">.so"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">uuid</span><span class="o">.</span><span class="n">uuid4</span><span class="p">()</span><span class="o">.</span><span class="n">hex</span><span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="n">compile_shared_lib</span><span class="p">(</span>
+ <span class="n">custom_logging_code</span><span class="p">,</span>
+ <span class="n">sourcefile_name</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">custom_logging_dir</span><span class="p">,</span> <span class="s2">"custom_logging.c"</span><span class="p">),</span>
+ <span class="n">outfile_name</span><span class="o">=</span><span class="n">library_name</span><span class="p">,</span>
+ <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">verbose</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"loading shared library for custom logging"</span><span class="p">)</span>
+
+ <span class="c1"># Loading library</span>
+ <span class="n">_</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span><span class="s2">"libgslcblas.so"</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">ctypes</span><span class="o">.</span><span class="n">RTLD_GLOBAL</span><span class="p">)</span>
+ <span class="n">_</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span><span class="s2">"libgsl.so"</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">ctypes</span><span class="o">.</span><span class="n">RTLD_GLOBAL</span><span class="p">)</span>
+ <span class="n">_</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span><span class="s2">"libbinary_c.so"</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">ctypes</span><span class="o">.</span><span class="n">RTLD_GLOBAL</span><span class="p">)</span>
+
+ <span class="n">libcustom_logging</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span>
+ <span class="n">library_name</span><span class="p">,</span>
+ <span class="n">mode</span><span class="o">=</span><span class="n">ctypes</span><span class="o">.</span><span class="n">RTLD_GLOBAL</span><span class="p">,</span>
+ <span class="p">)</span> <span class="c1"># loads the shared library</span>
+
+ <span class="c1"># Get memory adress of function. mimicking a pointer</span>
+ <span class="n">func_memaddr</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span>
+ <span class="n">libcustom_logging</span><span class="o">.</span><span class="n">custom_output_function</span><span class="p">,</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">c_void_p</span>
+ <span class="p">)</span><span class="o">.</span><span class="n">value</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">func_memaddr</span><span class="p">,</span> <span class="nb">int</span><span class="p">):</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Something went wrong. The memory adress returned by the ctypes.cast is not an integer. It has the value </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">func_memaddr</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="k">if</span> <span class="n">verbose</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"loaded shared library for custom logging. </span><span class="se">\</span>
+<span class="s2"> custom_output_function is loaded in memory at </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">func_memaddr</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">func_memaddr</span><span class="p">,</span> <span class="n">library_name</span></div>
+</pre></div>
+
+ </div>
+
+ </div>
+ <footer>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
+
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+</body>
+</html>
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diff --git a/docs/build/html/_modules/binarycpython/utils/distribution_functions.html b/docs/build/html/_modules/binarycpython/utils/distribution_functions.html
new file mode 100644
index 0000000000000000000000000000000000000000..6ba9992868165106d07f98a2e4e76332afca0d66
--- /dev/null
+++ b/docs/build/html/_modules/binarycpython/utils/distribution_functions.html
@@ -0,0 +1,2499 @@
+
+
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" >
+<head>
+ <meta charset="utf-8">
+
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+ <title>binarycpython.utils.distribution_functions — binary_c-python documentation</title>
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+ <link rel="stylesheet" href="../../../_static/pygments.css" type="text/css" />
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+<li class="toctree-l1"><a class="reference internal" href="../../../readme_link.html">Python module for binary_c</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../modules.html">Binarycpython code</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../../grid_options_descriptions.html">Population grid code options</a></li>
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+ <div itemprop="articleBody">
+
+ <h1>Source code for binarycpython.utils.distribution_functions</h1><div class="highlight"><pre>
+<span></span><span class="sd">"""</span>
+<span class="sd">Module containing the predefined distribution functions</span>
+
+<span class="sd">The user can use any of these distribution functions to</span>
+<span class="sd">generate probability distributions for sampling populations</span>
+
+<span class="sd">There are distributions for the following parameters:</span>
+<span class="sd"> - mass</span>
+<span class="sd"> - period</span>
+<span class="sd"> - mass ratio</span>
+<span class="sd"> - binary fraction</span>
+
+<span class="sd">Tasks:</span>
+<span class="sd"> - TODO: make some things globally present? rob does this in his module..i guess it saves</span>
+<span class="sd"> calculations but not sure if im gonna do that now</span>
+<span class="sd"> - TODO: add eccentricity distribution: thermal</span>
+<span class="sd"> - TODO: Add SFH distributions depending on redshift</span>
+<span class="sd"> - TODO: Add metallicity distributions depending on redshift</span>
+<span class="sd"> - TODO: Add initial rotational velocity distributions</span>
+<span class="sd"> - TODO: make an n-part powerlaw thats general enough to fix the three part and the 4 part</span>
+<span class="sd">"""</span>
+
+<span class="kn">import</span> <span class="nn">gc</span>
+<span class="kn">import</span> <span class="nn">math</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython.utils.useful_funcs</span> <span class="kn">import</span> <span class="n">calc_period_from_sep</span><span class="p">,</span> <span class="n">calc_sep_from_period</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.functions</span> <span class="kn">import</span> <span class="n">verbose_print</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.grid_options_defaults</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_INTERPOLATOR_LEVEL</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="c1">###</span>
+<span class="c1"># File containing probability distributions</span>
+<span class="c1"># Mostly copied from the perl modules</span>
+<span class="n">LOG_LN_CONVERTER</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mf">10.0</span><span class="p">)</span>
+<span class="n">distribution_constants</span> <span class="o">=</span> <span class="p">{}</span> <span class="c1"># To store the constants in</span>
+
+
+<div class="viewcode-block" id="prepare_dict"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.prepare_dict">[docs]</a><span class="k">def</span> <span class="nf">prepare_dict</span><span class="p">(</span><span class="n">global_dict</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">list_of_sub_keys</span><span class="p">:</span> <span class="nb">list</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that makes sure that the global dict is prepared to have a value set there.</span>
+<span class="sd"> This dictionary will store values and factors for the distribution functions,</span>
+<span class="sd"> so that they dont have to be calculated each time.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> global_dict: globablly acessible dictionary where factors are stored in</span>
+<span class="sd"> list_of_sub_keys: List of keys that must become be(come) present in the global_dict</span>
+<span class="sd"> """</span>
+
+ <span class="n">internal_dict_value</span> <span class="o">=</span> <span class="n">global_dict</span>
+
+ <span class="c1"># This loop almost mimics a recursive loop into the dictionary.</span>
+ <span class="c1"># It checks whether the first key of the list is present, if not; set it with an empty dict.</span>
+ <span class="c1"># Then it overrides itself to be that (new) item, and goes on to do that again, until the list</span>
+ <span class="c1"># exhausted</span>
+ <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">list_of_sub_keys</span><span class="p">:</span>
+ <span class="c1"># If the sub key doesnt exist then make an empty dict</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">internal_dict_value</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">internal_dict_value</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="n">internal_dict_value</span> <span class="o">=</span> <span class="n">internal_dict_value</span><span class="p">[</span><span class="n">k</span><span class="p">]</span></div>
+
+
+<div class="viewcode-block" id="set_opts"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.set_opts">[docs]</a><span class="k">def</span> <span class="nf">set_opts</span><span class="p">(</span><span class="n">opts</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">newopts</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to take a default dict and override it with newer values.</span>
+
+<span class="sd"> # TODO: consider changing this to just a dict.update</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> opts: dictionary with default values</span>
+<span class="sd"> newopts: dictionary with new values</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> returns an updated dictionary</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">newopts</span><span class="p">:</span>
+ <span class="k">for</span> <span class="n">opt</span> <span class="ow">in</span> <span class="n">newopts</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="k">if</span> <span class="n">opt</span> <span class="ow">in</span> <span class="n">opts</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="n">opts</span><span class="p">[</span><span class="n">opt</span><span class="p">]</span> <span class="o">=</span> <span class="n">newopts</span><span class="p">[</span><span class="n">opt</span><span class="p">]</span>
+
+ <span class="k">return</span> <span class="n">opts</span></div>
+
+
+<div class="viewcode-block" id="flat"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.flat">[docs]</a><span class="k">def</span> <span class="nf">flat</span><span class="p">()</span> <span class="o">-></span> <span class="nb">float</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Dummy distribution function that returns 1</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> a flat uniform distribution: 1</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="mf">1.0</span></div>
+
+
+<div class="viewcode-block" id="number"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.number">[docs]</a><span class="k">def</span> <span class="nf">number</span><span class="p">(</span><span class="n">value</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Dummy distribution function that returns the input</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> value: the value that will be returned by this function.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> the value that was provided</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="n">value</span></div>
+
+
+<div class="viewcode-block" id="const"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.const">[docs]</a><span class="k">def</span> <span class="nf">const</span><span class="p">(</span>
+ <span class="n">min_bound</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">max_bound</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">val</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> a constant distribution function between min=min_bound and max=max_bound.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> min_bound: lower bound of the range</span>
+<span class="sd"> max_bound: upper bound of the range</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> returns the value of 1/(max_bound-min_bound). If val is provided, it will check whether min_bound < val <= max_bound. if not: returns 0</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">val</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">min_bound</span> <span class="o"><</span> <span class="n">val</span> <span class="o"><=</span> <span class="n">max_bound</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"out of bounds"</span><span class="p">)</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="k">return</span> <span class="n">prob</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span><span class="n">max_bound</span> <span class="o">-</span> <span class="n">min_bound</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">prob</span></div>
+
+
+<div class="viewcode-block" id="powerlaw_constant"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.powerlaw_constant">[docs]</a><span class="k">def</span> <span class="nf">powerlaw_constant</span><span class="p">(</span>
+ <span class="n">min_val</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">max_val</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">k</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that returns the constant to normalise a powerlaw</span>
+
+<span class="sd"> TODO: what if k is -1?</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> min_val: lower bound of the range</span>
+<span class="sd"> max_val: upper bound of the range</span>
+<span class="sd"> k: powerlaw slope</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> constant to normalize the given powerlaw between the min_val and max_val range</span>
+<span class="sd"> """</span>
+
+ <span class="n">k1</span> <span class="o">=</span> <span class="n">k</span> <span class="o">+</span> <span class="mf">1.0</span>
+ <span class="c1"># print(</span>
+ <span class="c1"># "Powerlaw consts from {} to {}, k={} where k1={}".format(</span>
+ <span class="c1"># min_val, max_val, k, k1</span>
+ <span class="c1"># )</span>
+ <span class="c1"># )</span>
+
+ <span class="n">powerlaw_const</span> <span class="o">=</span> <span class="n">k1</span> <span class="o">/</span> <span class="p">(</span><span class="n">max_val</span> <span class="o">**</span> <span class="n">k1</span> <span class="o">-</span> <span class="n">min_val</span> <span class="o">**</span> <span class="n">k1</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">powerlaw_const</span></div>
+
+
+<div class="viewcode-block" id="powerlaw"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.powerlaw">[docs]</a><span class="k">def</span> <span class="nf">powerlaw</span><span class="p">(</span>
+ <span class="n">min_val</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">max_val</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">k</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">x</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Single powerlaw with index k at x from min to max</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> min_val: lower bound of the powerlaw</span>
+<span class="sd"> max_val: upper bound of the powerlaw</span>
+<span class="sd"> k: slope of the power law</span>
+<span class="sd"> x: position at which we want to evaluate</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> `probability` at the given position(x)</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Handle faulty value</span>
+ <span class="k">if</span> <span class="n">k</span> <span class="o">==</span> <span class="o">-</span><span class="mi">1</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"wrong value for k"</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="p">(</span><span class="n">x</span> <span class="o"><</span> <span class="n">min_val</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span><span class="n">x</span> <span class="o">></span> <span class="n">max_val</span><span class="p">):</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"input value is out of bounds!"</span><span class="p">)</span>
+ <span class="k">return</span> <span class="mi">0</span>
+
+ <span class="n">powerlaw_const</span> <span class="o">=</span> <span class="n">powerlaw_constant</span><span class="p">(</span><span class="n">min_val</span><span class="p">,</span> <span class="n">max_val</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span>
+
+ <span class="c1"># powerlaw</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="n">powerlaw_const</span> <span class="o">*</span> <span class="p">(</span><span class="n">x</span> <span class="o">**</span> <span class="n">k</span><span class="p">)</span>
+ <span class="c1"># print(</span>
+ <span class="c1"># "Power law from {} to {}: const = {}, y = {}".format(</span>
+ <span class="c1"># min_val, max_val, const, y</span>
+ <span class="c1"># )</span>
+ <span class="c1"># )</span>
+ <span class="k">return</span> <span class="n">prob</span></div>
+
+
+<div class="viewcode-block" id="calculate_constants_three_part_powerlaw"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.calculate_constants_three_part_powerlaw">[docs]</a><span class="k">def</span> <span class="nf">calculate_constants_three_part_powerlaw</span><span class="p">(</span>
+ <span class="n">m0</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">m1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">m2</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">m_max</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">p1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">p2</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">p3</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to calculate the constants for a three-part powerlaw</span>
+
+<span class="sd"> TODO: use the powerlaw_constant function to calculate all these values</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m0: lower bound mass</span>
+<span class="sd"> m1: second boundary, between the first slope and the second slope</span>
+<span class="sd"> m2: third boundary, between the second slope and the third slope</span>
+<span class="sd"> m_max: upper bound mass</span>
+<span class="sd"> p1: first slope</span>
+<span class="sd"> p2: second slope</span>
+<span class="sd"> p3: third slope</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> array of normalisation constants</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># print("Initialising constants for the three-part powerlaw: m0={} m1={} m2={}\</span>
+ <span class="c1"># m_max={} p1={} p2={} p3={}\n".format(m0, m1, m2, m_max, p1, p2, p3))</span>
+
+ <span class="n">array_constants_three_part_powerlaw</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+
+ <span class="n">array_constants_three_part_powerlaw</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="p">((</span><span class="n">m1</span> <span class="o">**</span> <span class="n">p2</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">m1</span> <span class="o">**</span> <span class="p">(</span><span class="o">-</span><span class="n">p1</span><span class="p">)))</span>
+ <span class="o">*</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p1</span><span class="p">))</span>
+ <span class="o">*</span> <span class="p">(</span><span class="n">m1</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p1</span><span class="p">)</span> <span class="o">-</span> <span class="n">m0</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p1</span><span class="p">))</span>
+ <span class="p">)</span>
+ <span class="n">array_constants_three_part_powerlaw</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="p">(</span><span class="n">m2</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p2</span><span class="p">)</span> <span class="o">-</span> <span class="n">m1</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p2</span><span class="p">))</span>
+ <span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p2</span><span class="p">))</span>
+ <span class="n">array_constants_three_part_powerlaw</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="p">((</span><span class="n">m2</span> <span class="o">**</span> <span class="n">p2</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">m2</span> <span class="o">**</span> <span class="p">(</span><span class="o">-</span><span class="n">p3</span><span class="p">)))</span>
+ <span class="o">*</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p3</span><span class="p">))</span>
+ <span class="o">*</span> <span class="p">(</span><span class="n">m_max</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p3</span><span class="p">)</span> <span class="o">-</span> <span class="n">m2</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p3</span><span class="p">))</span>
+ <span class="p">)</span>
+ <span class="n">array_constants_three_part_powerlaw</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span>
+ <span class="n">array_constants_three_part_powerlaw</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mf">1e-50</span>
+ <span class="p">)</span>
+
+ <span class="n">array_constants_three_part_powerlaw</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">array_constants_three_part_powerlaw</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span>
+ <span class="p">(</span><span class="n">m1</span> <span class="o">**</span> <span class="n">p2</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">m1</span> <span class="o">**</span> <span class="p">(</span><span class="o">-</span><span class="n">p1</span><span class="p">))</span>
+ <span class="p">)</span>
+ <span class="n">array_constants_three_part_powerlaw</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="n">array_constants_three_part_powerlaw</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span>
+ <span class="p">(</span><span class="n">m2</span> <span class="o">**</span> <span class="n">p2</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">m2</span> <span class="o">**</span> <span class="p">(</span><span class="o">-</span><span class="n">p3</span><span class="p">))</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">array_constants_three_part_powerlaw</span></div>
+ <span class="c1"># $$array[1]=(($m1**$p2)*($m1**(-$p1)))*</span>
+ <span class="c1"># (1.0/(1.0+$p1))*</span>
+ <span class="c1"># ($m1**(1.0+$p1)-$m0**(1.0+$p1))+</span>
+ <span class="c1"># (($m2**(1.0+$p2)-$m1**(1.0+$p2)))*</span>
+ <span class="c1"># (1.0/(1.0+$p2))+</span>
+ <span class="c1"># (($m2**$p2)*($m2**(-$p3)))*</span>
+ <span class="c1"># (1.0/(1.0+$p3))*</span>
+ <span class="c1"># ($mmax**(1.0+$p3)-$m2**(1.0+$p3));</span>
+ <span class="c1"># $$array[1]=1.0/($$array[1]+1e-50);</span>
+ <span class="c1"># $$array[0]=$$array[1]*$m1**$p2*$m1**(-$p1);</span>
+ <span class="c1"># $$array[2]=$$array[1]*$m2**$p2*$m2**(-$p3);</span>
+ <span class="c1"># #print "ARRAY SET @_ => @$array\n";</span>
+ <span class="c1"># $threepart_powerlaw_consts{"@_"}=[@$array];</span>
+
+
+<div class="viewcode-block" id="three_part_powerlaw"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.three_part_powerlaw">[docs]</a><span class="k">def</span> <span class="nf">three_part_powerlaw</span><span class="p">(</span>
+ <span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">m0</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">m1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">m2</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">m_max</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">p1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">p2</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">p3</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Generalized three-part power law, usually used for mass distributions</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass at which we want to evaluate the distribution.</span>
+<span class="sd"> m0: lower bound mass</span>
+<span class="sd"> m1: second boundary, between the first slope and the second slope</span>
+<span class="sd"> m2: third boundary, between the second slope and the third slope</span>
+<span class="sd"> m_max: upper bound mass</span>
+<span class="sd"> p1: first slope</span>
+<span class="sd"> p2: second slope</span>
+<span class="sd"> p3: third slope</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' at given mass m</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># TODO: add check on whether the values exist</span>
+
+ <span class="n">three_part_powerlaw_constants</span> <span class="o">=</span> <span class="n">calculate_constants_three_part_powerlaw</span><span class="p">(</span>
+ <span class="n">m0</span><span class="p">,</span> <span class="n">m1</span><span class="p">,</span> <span class="n">m2</span><span class="p">,</span> <span class="n">m_max</span><span class="p">,</span> <span class="n">p1</span><span class="p">,</span> <span class="n">p2</span><span class="p">,</span> <span class="n">p3</span>
+ <span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="k">if</span> <span class="n">m</span> <span class="o"><</span> <span class="n">m0</span><span class="p">:</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># Below lower bound TODO: make this clear.</span>
+ <span class="k">elif</span> <span class="n">m0</span> <span class="o"><</span> <span class="n">m</span> <span class="o"><=</span> <span class="n">m1</span><span class="p">:</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="n">three_part_powerlaw_constants</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="n">p1</span><span class="p">)</span> <span class="c1"># Between M0 and M1</span>
+ <span class="k">elif</span> <span class="n">m1</span> <span class="o"><</span> <span class="n">m</span> <span class="o"><=</span> <span class="n">m2</span><span class="p">:</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="n">three_part_powerlaw_constants</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="n">p2</span><span class="p">)</span> <span class="c1"># Between M1 and M2</span>
+ <span class="k">elif</span> <span class="n">m2</span> <span class="o"><</span> <span class="n">m</span> <span class="o"><=</span> <span class="n">m_max</span><span class="p">:</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="n">three_part_powerlaw_constants</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="n">p3</span><span class="p">)</span> <span class="c1"># Between M2 and M_MAX</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># Above M_MAX</span>
+
+ <span class="k">return</span> <span class="n">prob</span></div>
+
+
+<div class="viewcode-block" id="gaussian_normalizing_const"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.gaussian_normalizing_const">[docs]</a><span class="k">def</span> <span class="nf">gaussian_normalizing_const</span><span class="p">(</span>
+ <span class="n">mean</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">sigma</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">gmin</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">gmax</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to calculate the normalisation constant for the gaussian</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> mean: mean of the gaussian</span>
+<span class="sd"> sigma: standard deviation of the gaussian</span>
+<span class="sd"> gmin: lower bound of the range to calculate the probabilities in</span>
+<span class="sd"> gmax: upper bound of the range to calculate the probabilities in</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> normalisation constant for the gaussian distribution(mean, sigma) between gmin and gmax</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># First time; calculate multipllier for given mean and sigma</span>
+ <span class="n">ptot</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">resolution</span> <span class="o">=</span> <span class="mi">1000</span>
+ <span class="n">d</span> <span class="o">=</span> <span class="p">(</span><span class="n">gmax</span> <span class="o">-</span> <span class="n">gmin</span><span class="p">)</span> <span class="o">/</span> <span class="n">resolution</span>
+
+ <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">resolution</span><span class="p">):</span>
+ <span class="n">y</span> <span class="o">=</span> <span class="n">gmin</span> <span class="o">+</span> <span class="n">i</span> <span class="o">*</span> <span class="n">d</span>
+ <span class="n">ptot</span> <span class="o">+=</span> <span class="n">d</span> <span class="o">*</span> <span class="n">gaussian_func</span><span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="n">mean</span><span class="p">,</span> <span class="n">sigma</span><span class="p">)</span>
+
+ <span class="c1"># TODO: Set value in global</span>
+ <span class="k">return</span> <span class="n">ptot</span></div>
+
+
+<div class="viewcode-block" id="gaussian_func"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.gaussian_func">[docs]</a><span class="k">def</span> <span class="nf">gaussian_func</span><span class="p">(</span>
+ <span class="n">x</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">mean</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">sigma</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to evaluate a gaussian at a given point, but this time without any boundaries.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> x: location at which to evaluate the distribution</span>
+<span class="sd"> mean: mean of the gaussian</span>
+<span class="sd"> sigma: standard deviation of the gaussian</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> value of the gaussian at x</span>
+<span class="sd"> """</span>
+ <span class="n">gaussian_prefactor</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mf">2.0</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span><span class="p">)</span>
+
+ <span class="n">r</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span><span class="n">sigma</span><span class="p">)</span>
+ <span class="n">y</span> <span class="o">=</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">mean</span><span class="p">)</span> <span class="o">*</span> <span class="n">r</span>
+ <span class="k">return</span> <span class="n">gaussian_prefactor</span> <span class="o">*</span> <span class="n">r</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="mf">0.5</span> <span class="o">*</span> <span class="n">y</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="gaussian"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.gaussian">[docs]</a><span class="k">def</span> <span class="nf">gaussian</span><span class="p">(</span>
+ <span class="n">x</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">mean</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">sigma</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">gmin</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">gmax</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Gaussian distribution function. used for e..g Duquennoy + Mayor 1991</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> x: location at which to evaluate the distribution</span>
+<span class="sd"> mean: mean of the gaussian</span>
+<span class="sd"> sigma: standard deviation of the gaussian</span>
+<span class="sd"> gmin: lower bound of the range to calculate the probabilities in</span>
+<span class="sd"> gmax: upper bound of the range to calculate the probabilities in</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' of the gaussian distribution between the boundaries, evaluated at x</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># # location (X value), mean and sigma, min and max range</span>
+ <span class="c1"># my ($x,$mean,$sigma,$gmin,$gmax) = @_;</span>
+
+ <span class="k">if</span> <span class="p">(</span><span class="n">x</span> <span class="o"><</span> <span class="n">gmin</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span><span class="n">x</span> <span class="o">></span> <span class="n">gmax</span><span class="p">):</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># normalize over given range</span>
+ <span class="c1"># TODO: add loading into global var</span>
+ <span class="n">normalisation</span> <span class="o">=</span> <span class="n">gaussian_normalizing_const</span><span class="p">(</span><span class="n">mean</span><span class="p">,</span> <span class="n">sigma</span><span class="p">,</span> <span class="n">gmin</span><span class="p">,</span> <span class="n">gmax</span><span class="p">)</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="n">gaussian_func</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">mean</span><span class="p">,</span> <span class="n">sigma</span><span class="p">)</span> <span class="o">/</span> <span class="n">normalisation</span>
+
+ <span class="k">return</span> <span class="n">prob</span></div>
+
+
+<span class="c1">#####</span>
+<span class="c1"># Mass distributions</span>
+<span class="c1">#####</span>
+
+
+<div class="viewcode-block" id="Kroupa2001"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.Kroupa2001">[docs]</a><span class="k">def</span> <span class="nf">Kroupa2001</span><span class="p">(</span><span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">newopts</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Probability distribution function for kroupa 2001 IMF, where the default values to the</span>
+<span class="sd"> three_part_powerlaw are: default = {"m0": 0.1, "m1": 0.5, "m2": 1, "mmax": 100, "p1": -1.3, "p2": -2.3,"p3": -2.3}</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass to evaluate the distribution at</span>
+<span class="sd"> newopts: optional dict to override the default values.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' of distribution function evaluated at m</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Default params and override them</span>
+ <span class="n">default</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"m0"</span><span class="p">:</span> <span class="mf">0.1</span><span class="p">,</span>
+ <span class="s2">"m1"</span><span class="p">:</span> <span class="mf">0.5</span><span class="p">,</span>
+ <span class="s2">"m2"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+ <span class="s2">"mmax"</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span>
+ <span class="s2">"p1"</span><span class="p">:</span> <span class="o">-</span><span class="mf">1.3</span><span class="p">,</span>
+ <span class="s2">"p2"</span><span class="p">:</span> <span class="o">-</span><span class="mf">2.3</span><span class="p">,</span>
+ <span class="s2">"p3"</span><span class="p">:</span> <span class="o">-</span><span class="mf">2.3</span><span class="p">,</span>
+ <span class="p">}</span>
+
+ <span class="n">value_dict</span> <span class="o">=</span> <span class="n">default</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+ <span class="k">if</span> <span class="n">newopts</span><span class="p">:</span>
+ <span class="n">value_dict</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">newopts</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">three_part_powerlaw</span><span class="p">(</span>
+ <span class="n">m</span><span class="p">,</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"m0"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"m1"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"m2"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"mmax"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"p1"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"p2"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"p3"</span><span class="p">],</span>
+ <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="ktg93"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.ktg93">[docs]</a><span class="k">def</span> <span class="nf">ktg93</span><span class="p">(</span><span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">newopts</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Probability distribution function for KTG93 IMF, where the default values to the three_part_powerlaw are: default = {"m0": 0.1, "m1": 0.5, "m2": 1, "mmax": 80, "p1": -1.3, "p2": -2.2,"p3": -2.7}</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass to evaluate the distribution at</span>
+<span class="sd"> newopts: optional dict to override the default values.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' of distribution function evaluated at m</span>
+<span class="sd"> """</span>
+ <span class="c1"># TODO: ask rob what this means</span>
+
+ <span class="c1"># if($m eq 'uncertainties')</span>
+ <span class="c1"># {</span>
+ <span class="c1"># # return (pointer to) the uncertainties hash</span>
+ <span class="c1"># return {</span>
+ <span class="c1"># m0=>{default=>0.1,</span>
+ <span class="c1"># fixed=>1},</span>
+ <span class="c1"># m1=>{default=>0.5,</span>
+ <span class="c1"># fixed=>1},</span>
+ <span class="c1"># m2=>{default=>1.0,</span>
+ <span class="c1"># fixed=>1},</span>
+ <span class="c1"># mmax=>{default=>80.0,</span>
+ <span class="c1"># fixed=>1},</span>
+ <span class="c1"># p1=>{default=>-1.3,</span>
+ <span class="c1"># low=>-1.3,</span>
+ <span class="c1"># high=>-1.3},</span>
+ <span class="c1"># p2=>{default=>-2.2,</span>
+ <span class="c1"># low=>-2.2,</span>
+ <span class="c1"># high=>-2.2},</span>
+ <span class="c1"># p3=>{default=>-2.7,</span>
+ <span class="c1"># low=>-2.7,</span>
+ <span class="c1"># high=>-2.7}</span>
+ <span class="c1"># };</span>
+ <span class="c1"># }</span>
+
+ <span class="c1"># set options</span>
+ <span class="c1"># opts = set_opts({'m0':0.1, 'm1':0.5, 'm2':1.0, 'mmax':80, 'p1':-1.3, 'p2':-2.2, 'p3':-2.7},</span>
+ <span class="c1"># newopts)</span>
+
+ <span class="n">defaults</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"m0"</span><span class="p">:</span> <span class="mf">0.1</span><span class="p">,</span>
+ <span class="s2">"m1"</span><span class="p">:</span> <span class="mf">0.5</span><span class="p">,</span>
+ <span class="s2">"m2"</span><span class="p">:</span> <span class="mf">1.0</span><span class="p">,</span>
+ <span class="s2">"mmax"</span><span class="p">:</span> <span class="mi">80</span><span class="p">,</span>
+ <span class="s2">"p1"</span><span class="p">:</span> <span class="o">-</span><span class="mf">1.3</span><span class="p">,</span>
+ <span class="s2">"p2"</span><span class="p">:</span> <span class="o">-</span><span class="mf">2.2</span><span class="p">,</span>
+ <span class="s2">"p3"</span><span class="p">:</span> <span class="o">-</span><span class="mf">2.7</span><span class="p">,</span>
+ <span class="p">}</span>
+ <span class="n">value_dict</span> <span class="o">=</span> <span class="n">defaults</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+ <span class="k">if</span> <span class="n">newopts</span><span class="p">:</span>
+ <span class="n">value_dict</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">newopts</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">three_part_powerlaw</span><span class="p">(</span>
+ <span class="n">m</span><span class="p">,</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"m0"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"m1"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"m2"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"mmax"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"p1"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"p2"</span><span class="p">],</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="s2">"p3"</span><span class="p">],</span>
+ <span class="p">)</span></div>
+
+
+<span class="c1"># sub ktg93_lnspace</span>
+<span class="c1"># {</span>
+<span class="c1"># # wrapper for KTG93 on a ln(m) grid</span>
+<span class="c1"># my $m=$_[0];</span>
+<span class="c1"># return ktg93(@_) * $m;</span>
+<span class="c1"># }</span>
+
+
+<div class="viewcode-block" id="imf_tinsley1980"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.imf_tinsley1980">[docs]</a><span class="k">def</span> <span class="nf">imf_tinsley1980</span><span class="p">(</span><span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Probability distribution function for tinsley 1980 IMF (defined up until 80Msol): three_part_powerlaw(m, 0.1, 2.0, 10.0, 80.0, -2.0, -2.3, -3.3)</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass to evaluate the distribution at</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' of distribution function evaluated at m</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="n">three_part_powerlaw</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="mf">10.0</span><span class="p">,</span> <span class="mf">80.0</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.0</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.3</span><span class="p">,</span> <span class="o">-</span><span class="mf">3.3</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="imf_scalo1986"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.imf_scalo1986">[docs]</a><span class="k">def</span> <span class="nf">imf_scalo1986</span><span class="p">(</span><span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Probability distribution function for Scalo 1986 IMF (defined up until 80Msol): three_part_powerlaw(m, 0.1, 1.0, 2.0, 80.0, -2.35, -2.35, -2.70)</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass to evaluate the distribution at</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' of distribution function evaluated at m</span>
+<span class="sd"> """</span>
+ <span class="k">return</span> <span class="n">three_part_powerlaw</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="mf">80.0</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.35</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.35</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.70</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="imf_scalo1998"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.imf_scalo1998">[docs]</a><span class="k">def</span> <span class="nf">imf_scalo1998</span><span class="p">(</span><span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> From scalo 1998</span>
+
+<span class="sd"> Probability distribution function for Scalo 1998 IMF (defined up until 80Msol): three_part_powerlaw(m, 0.1, 1.0, 10.0, 80.0, -1.2, -2.7, -2.3)</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass to evaluate the distribution at</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' of distribution function evaluated at m</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="n">three_part_powerlaw</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">10.0</span><span class="p">,</span> <span class="mf">80.0</span><span class="p">,</span> <span class="o">-</span><span class="mf">1.2</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.7</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.3</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="imf_chabrier2003"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.imf_chabrier2003">[docs]</a><span class="k">def</span> <span class="nf">imf_chabrier2003</span><span class="p">(</span><span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Probability distribution function for IMF of Chabrier 2003 PASP 115:763-795</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass to evaluate the distribution at</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' of distribution function evaluated at m</span>
+<span class="sd"> """</span>
+
+ <span class="n">chabrier_logmc</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="mf">0.079</span><span class="p">)</span>
+ <span class="n">chabrier_sigma2</span> <span class="o">=</span> <span class="mf">0.69</span> <span class="o">*</span> <span class="mf">0.69</span>
+ <span class="n">chabrier_a1</span> <span class="o">=</span> <span class="mf">0.158</span>
+ <span class="n">chabrier_a2</span> <span class="o">=</span> <span class="mf">4.43e-2</span>
+ <span class="n">chabrier_x</span> <span class="o">=</span> <span class="o">-</span><span class="mf">1.3</span>
+ <span class="k">if</span> <span class="n">m</span> <span class="o"><=</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"below bounds"</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+ <span class="k">if</span> <span class="mi">0</span> <span class="o"><</span> <span class="n">m</span> <span class="o"><</span> <span class="mf">1.0</span><span class="p">:</span>
+ <span class="n">A</span> <span class="o">=</span> <span class="mf">0.158</span>
+ <span class="n">dm</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">m</span><span class="p">)</span> <span class="o">-</span> <span class="n">chabrier_logmc</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="n">chabrier_a1</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="p">(</span><span class="n">dm</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="mf">2.0</span> <span class="o">*</span> <span class="n">chabrier_sigma2</span><span class="p">))</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="n">chabrier_a2</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="n">chabrier_x</span><span class="p">)</span>
+ <span class="n">prob</span> <span class="o">=</span> <span class="n">prob</span> <span class="o">/</span> <span class="p">(</span><span class="mf">0.1202462</span> <span class="o">*</span> <span class="n">m</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+ <span class="k">return</span> <span class="n">prob</span></div>
+
+
+<span class="c1">########################################################################</span>
+<span class="c1"># Binary fractions</span>
+<span class="c1">########################################################################</span>
+
+
+<div class="viewcode-block" id="Arenou2010_binary_fraction"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.Arenou2010_binary_fraction">[docs]</a><span class="k">def</span> <span class="nf">Arenou2010_binary_fraction</span><span class="p">(</span><span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Arenou 2010 function for the binary fraction as f(M1)</span>
+
+<span class="sd"> GAIA-C2-SP-OPM-FA-054</span>
+<span class="sd"> www.rssd.esa.int/doc_fetch.php?id=2969346</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass to evaluate the distribution at</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> binary fraction at m</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="mf">0.8388</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="mf">0.688</span> <span class="o">*</span> <span class="n">m</span> <span class="o">+</span> <span class="mf">0.079</span><span class="p">)</span></div>
+
+
+<span class="c1"># print(Arenou2010_binary_fraction(0.4))</span>
+
+
+<div class="viewcode-block" id="raghavan2010_binary_fraction"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.raghavan2010_binary_fraction">[docs]</a><span class="k">def</span> <span class="nf">raghavan2010_binary_fraction</span><span class="p">(</span><span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Fit to the Raghavan 2010 binary fraction as a function of</span>
+<span class="sd"> spectral type (Fig 12). Valid for local stars (Z=Zsolar).</span>
+
+<span class="sd"> The spectral type is converted mass by use of the ZAMS</span>
+<span class="sd"> effective temperatures from binary_c/BSE (at Z=0.02)</span>
+<span class="sd"> and the new "long_spectral_type" function of binary_c</span>
+<span class="sd"> (based on Jaschek+Jaschek's Teff-spectral type table).</span>
+
+<span class="sd"> Rob then fitted the result</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass to evaluate the distribution at</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> binary fraction at m</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="nb">min</span><span class="p">(</span>
+ <span class="mf">1.0</span><span class="p">,</span>
+ <span class="nb">max</span><span class="p">(</span>
+ <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="mf">0.1</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="mf">5.12310e-01</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="o">-</span><span class="mf">1.02070e-01</span><span class="p">),</span>
+ <span class="p">(</span><span class="mf">1.10450e00</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="p">(</span><span class="mf">4.93670e-01</span><span class="p">))</span> <span class="o">+</span> <span class="p">(</span><span class="o">-</span><span class="mf">6.95630e-01</span><span class="p">),</span>
+ <span class="p">),</span>
+ <span class="p">)</span></div>
+
+
+<span class="c1"># print(raghavan2010_binary_fraction(2))</span>
+
+<span class="c1">########################################################################</span>
+<span class="c1"># Period distributions</span>
+<span class="c1">########################################################################</span>
+
+
+<div class="viewcode-block" id="duquennoy1991"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.duquennoy1991">[docs]</a><span class="k">def</span> <span class="nf">duquennoy1991</span><span class="p">(</span><span class="n">logper</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Period distribution from Duquennoy + Mayor 1991. Evaluated the function gaussian(logper, 4.8, 2.3, -2, 12)</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> logper: logarithm of period to evaluate the distribution at</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' at gaussian(logper, 4.8, 2.3, -2, 12)</span>
+<span class="sd"> """</span>
+ <span class="k">return</span> <span class="n">gaussian</span><span class="p">(</span><span class="n">logper</span><span class="p">,</span> <span class="mf">4.8</span><span class="p">,</span> <span class="mf">2.3</span><span class="p">,</span> <span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="mi">12</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="sana12"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.sana12">[docs]</a><span class="k">def</span> <span class="nf">sana12</span><span class="p">(</span>
+ <span class="n">M1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">M2</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">a</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">P</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">amin</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">amax</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">x0</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">x1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">p</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> distribution of initial orbital periods as found by Sana et al. (2012)</span>
+<span class="sd"> which is a flat distribution in ln(a) and ln(P) respectively for stars</span>
+<span class="sd"> * less massive than 15Msun (no O-stars)</span>
+<span class="sd"> * mass ratio q=M2/M1<0.1</span>
+<span class="sd"> * log(P)<0.15=x0 and log(P)>3.5=x1</span>
+<span class="sd"> and is be given by dp/dlogP ~ (logP)^p for all other binary configurations (default p=-0.55)</span>
+
+<span class="sd"> arguments are M1, M2, a, Period P, amin, amax, x0=log P0, x1=log P1, p</span>
+
+<span class="sd"> example args: 10, 5, sep(M1, M2, P), sep, ?, -2, 12, -0.55</span>
+
+<span class="sd"> # TODO: Fix this function!</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> M1: Mass of primary</span>
+<span class="sd"> M2: Mass of secondary</span>
+<span class="sd"> a: separation of binary</span>
+<span class="sd"> P: period of binary</span>
+<span class="sd"> amin: minimum separation of the distribution (lower bound of the range)</span>
+<span class="sd"> amax: maximum separation of the distribution (upper bound of the range)</span>
+<span class="sd"> x0: log of minimum period of the distribution (lower bound of the range)</span>
+<span class="sd"> x1: log of maximum period of the distribution (upper bound of the range)</span>
+<span class="sd"> p: slope of the distributoon</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' of orbital period P given the other parameters</span>
+<span class="sd"> """</span>
+
+ <span class="n">res</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="k">if</span> <span class="p">(</span><span class="n">M1</span> <span class="o"><</span> <span class="mi">15</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span><span class="n">M2</span> <span class="o">/</span> <span class="n">M1</span> <span class="o"><</span> <span class="mf">0.1</span><span class="p">):</span>
+ <span class="n">res</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">amax</span><span class="p">)</span> <span class="o">-</span> <span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">amin</span><span class="p">))</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">p1</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">+</span> <span class="n">p</span>
+
+ <span class="c1"># For more details see the LyX document of binary_c for this distribution</span>
+ <span class="c1"># where the variables and normalizations are given</span>
+ <span class="c1"># we use the notation x=log(P), xmin=log(Pmin), x0=log(P0), ... to determine the</span>
+ <span class="n">x</span> <span class="o">=</span> <span class="n">LOG_LN_CONVERTER</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">P</span><span class="p">)</span>
+ <span class="n">xmin</span> <span class="o">=</span> <span class="n">LOG_LN_CONVERTER</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">calc_period_from_sep</span><span class="p">(</span><span class="n">M1</span><span class="p">,</span> <span class="n">M2</span><span class="p">,</span> <span class="n">amin</span><span class="p">))</span>
+ <span class="n">xmax</span> <span class="o">=</span> <span class="n">LOG_LN_CONVERTER</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">calc_period_from_sep</span><span class="p">(</span><span class="n">M1</span><span class="p">,</span> <span class="n">M2</span><span class="p">,</span> <span class="n">amax</span><span class="p">))</span>
+
+ <span class="c1"># print("M1 M2 amin amax P x xmin xmax")</span>
+ <span class="c1"># print(M1, M2, amin, amax, P, x, xmin, xmax)</span>
+ <span class="c1"># my $x0 = 0.15;</span>
+ <span class="c1"># my $x1 = 3.5;</span>
+
+ <span class="n">A1</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span>
+ <span class="n">x0</span> <span class="o">**</span> <span class="n">p</span> <span class="o">*</span> <span class="p">(</span><span class="n">x0</span> <span class="o">-</span> <span class="n">xmin</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="n">x1</span> <span class="o">**</span> <span class="n">p1</span> <span class="o">-</span> <span class="n">x0</span> <span class="o">**</span> <span class="n">p1</span><span class="p">)</span> <span class="o">/</span> <span class="n">p1</span> <span class="o">+</span> <span class="n">x1</span> <span class="o">**</span> <span class="n">p</span> <span class="o">*</span> <span class="p">(</span><span class="n">xmax</span> <span class="o">-</span> <span class="n">x1</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">A0</span> <span class="o">=</span> <span class="n">A1</span> <span class="o">*</span> <span class="n">x0</span> <span class="o">**</span> <span class="n">p</span>
+ <span class="n">A2</span> <span class="o">=</span> <span class="n">A1</span> <span class="o">*</span> <span class="n">x1</span> <span class="o">**</span> <span class="n">p</span>
+
+ <span class="k">if</span> <span class="n">x</span> <span class="o"><</span> <span class="n">x0</span><span class="p">:</span>
+ <span class="n">res</span> <span class="o">=</span> <span class="mf">3.0</span> <span class="o">/</span> <span class="mf">2.0</span> <span class="o">*</span> <span class="n">LOG_LN_CONVERTER</span> <span class="o">*</span> <span class="n">A0</span>
+ <span class="k">elif</span> <span class="n">x</span> <span class="o">></span> <span class="n">x1</span><span class="p">:</span>
+ <span class="n">res</span> <span class="o">=</span> <span class="mf">3.0</span> <span class="o">/</span> <span class="mf">2.0</span> <span class="o">*</span> <span class="n">LOG_LN_CONVERTER</span> <span class="o">*</span> <span class="n">A2</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">res</span> <span class="o">=</span> <span class="mf">3.0</span> <span class="o">/</span> <span class="mf">2.0</span> <span class="o">*</span> <span class="n">LOG_LN_CONVERTER</span> <span class="o">*</span> <span class="n">A1</span> <span class="o">*</span> <span class="n">x</span> <span class="o">**</span> <span class="n">p</span>
+
+ <span class="k">return</span> <span class="n">res</span></div>
+
+
+<span class="c1"># print(sana12(10, 2, 10, 100, 1, 1000, math.log(10), math.log(1000), 6))</span>
+
+
+<div class="viewcode-block" id="interpolate_in_mass_izzard2012"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.interpolate_in_mass_izzard2012">[docs]</a><span class="k">def</span> <span class="nf">interpolate_in_mass_izzard2012</span><span class="p">(</span>
+ <span class="n">M</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">high</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">low</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to interpolate in mass</span>
+
+<span class="sd"> TODO: fix this function.</span>
+<span class="sd"> TODO: describe the args</span>
+<span class="sd"> high: at M=16.3</span>
+<span class="sd"> low: at 1.15</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> M: mass</span>
+<span class="sd"> high:</span>
+<span class="sd"> low:</span>
+
+<span class="sd"> Returns:</span>
+
+<span class="sd"> """</span>
+
+ <span class="n">log_interpolation</span> <span class="o">=</span> <span class="kc">False</span>
+
+ <span class="k">if</span> <span class="n">log_interpolation</span><span class="p">:</span>
+ <span class="k">return</span> <span class="p">(</span><span class="n">high</span> <span class="o">-</span> <span class="n">low</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="mf">16.3</span><span class="p">)</span> <span class="o">-</span> <span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="mf">1.15</span><span class="p">))</span> <span class="o">*</span> <span class="p">(</span>
+ <span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">M</span><span class="p">)</span> <span class="o">-</span> <span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="mf">1.15</span><span class="p">)</span>
+ <span class="p">)</span> <span class="o">+</span> <span class="n">low</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">return</span> <span class="p">(</span><span class="n">high</span> <span class="o">-</span> <span class="n">low</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="mf">16.3</span> <span class="o">-</span> <span class="mf">1.15</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">M</span> <span class="o">-</span> <span class="mf">1.15</span><span class="p">)</span> <span class="o">+</span> <span class="n">low</span></div>
+
+
+<div class="viewcode-block" id="Izzard2012_period_distribution"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.Izzard2012_period_distribution">[docs]</a><span class="k">def</span> <span class="nf">Izzard2012_period_distribution</span><span class="p">(</span>
+ <span class="n">P</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">M1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">log10Pmin</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> period distribution which interpolates between</span>
+<span class="sd"> Duquennoy and Mayor 1991 at low mass (G/K spectral type <~1.15Msun)</span>
+<span class="sd"> and Sana et al 2012 at high mass (O spectral type >~16.3Msun)</span>
+
+<span class="sd"> This gives dN/dlogP, i.e. DM/Raghavan's Gaussian in log10P at low mass</span>
+<span class="sd"> and Sana's power law (as a function of logP) at high mass</span>
+
+<span class="sd"> TODO: fix this function</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> P: period</span>
+<span class="sd"> M1: Primary star mass</span>
+<span class="sd"> log10Pmin: minimum period in base log10 (optional)</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> 'probability' of interpolated distribution function at P and M1</span>
+
+<span class="sd"> """</span>
+
+ <span class="c1"># Check if there is input and force it to be at least 1</span>
+ <span class="n">log10Pmin</span> <span class="o">//=</span> <span class="o">-</span><span class="mf">1.0</span>
+ <span class="n">log10Pmin</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="o">-</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">log10Pmin</span><span class="p">)</span>
+
+ <span class="c1"># save mass input and limit mass used (M1 from now on) to fitted range</span>
+ <span class="n">Mwas</span> <span class="o">=</span> <span class="n">M1</span>
+ <span class="n">M1</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="mf">1.15</span><span class="p">,</span> <span class="nb">min</span><span class="p">(</span><span class="mf">16.3</span><span class="p">,</span> <span class="n">M1</span><span class="p">))</span>
+ <span class="c1"># print("Izzard2012 called for M={} (trunc'd to {}), P={}\n".format(Mwas, M1, P))</span>
+
+ <span class="c1"># Calculate the normalisations</span>
+ <span class="c1"># need to normalize the distribution for this mass</span>
+ <span class="c1"># (and perhaps secondary mass)</span>
+ <span class="n">prepare_dict</span><span class="p">(</span><span class="n">distribution_constants</span><span class="p">,</span> <span class="p">[</span><span class="s2">"Izzard2012"</span><span class="p">,</span> <span class="n">M1</span><span class="p">])</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">distribution_constants</span><span class="p">[</span><span class="s2">"Izzard2012"</span><span class="p">][</span><span class="n">M1</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">log10Pmin</span><span class="p">):</span>
+ <span class="n">distribution_constants</span><span class="p">[</span><span class="s2">"Izzard2012"</span><span class="p">][</span><span class="n">M1</span><span class="p">][</span>
+ <span class="n">log10Pmin</span>
+ <span class="p">]</span> <span class="o">=</span> <span class="mi">1</span> <span class="c1"># To prevent this loop from going recursive</span>
+ <span class="n">N</span> <span class="o">=</span> <span class="mf">200.0</span> <span class="c1"># Resolution for normalisation. I hope 1000 is enough</span>
+ <span class="n">dlP</span> <span class="o">=</span> <span class="p">(</span><span class="mf">10.0</span> <span class="o">-</span> <span class="n">log10Pmin</span><span class="p">)</span> <span class="o">/</span> <span class="n">N</span>
+ <span class="n">C</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># normalisation const.</span>
+ <span class="k">for</span> <span class="n">lP</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">log10Pmin</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="n">dlP</span><span class="p">):</span>
+ <span class="n">C</span> <span class="o">+=</span> <span class="n">dlP</span> <span class="o">*</span> <span class="n">Izzard2012_period_distribution</span><span class="p">(</span><span class="mi">10</span> <span class="o">**</span> <span class="n">lP</span><span class="p">,</span> <span class="n">M1</span><span class="p">,</span> <span class="n">log10Pmin</span><span class="p">)</span>
+
+ <span class="n">distribution_constants</span><span class="p">[</span><span class="s2">"Izzard2012"</span><span class="p">][</span><span class="n">M1</span><span class="p">][</span><span class="n">log10Pmin</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">C</span>
+ <span class="c1"># print(</span>
+ <span class="c1"># "Normalization constant for Izzard2012 M={} (log10Pmin={}) is\</span>
+ <span class="c1"># {}\n".format(</span>
+ <span class="c1"># M1, log10Pmin, distribution_constants["Izzard2012"][M1][log10Pmin]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># )</span>
+
+ <span class="n">lP</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">P</span><span class="p">)</span>
+ <span class="c1"># log period</span>
+
+ <span class="c1"># # fits</span>
+ <span class="n">mu</span> <span class="o">=</span> <span class="n">interpolate_in_mass_izzard2012</span><span class="p">(</span><span class="n">M1</span><span class="p">,</span> <span class="o">-</span><span class="mf">17.8</span><span class="p">,</span> <span class="mf">5.03</span><span class="p">)</span>
+ <span class="n">sigma</span> <span class="o">=</span> <span class="n">interpolate_in_mass_izzard2012</span><span class="p">(</span><span class="n">M1</span><span class="p">,</span> <span class="mf">9.18</span><span class="p">,</span> <span class="mf">2.28</span><span class="p">)</span>
+ <span class="n">K</span> <span class="o">=</span> <span class="n">interpolate_in_mass_izzard2012</span><span class="p">(</span><span class="n">M1</span><span class="p">,</span> <span class="mf">6.93e-2</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">)</span>
+ <span class="n">nu</span> <span class="o">=</span> <span class="n">interpolate_in_mass_izzard2012</span><span class="p">(</span><span class="n">M1</span><span class="p">,</span> <span class="mf">0.3</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
+ <span class="n">g</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="mf">1e-30</span> <span class="o">**</span> <span class="p">(</span><span class="n">lP</span> <span class="o">-</span> <span class="n">nu</span><span class="p">))</span>
+
+ <span class="n">lPmu</span> <span class="o">=</span> <span class="n">lP</span> <span class="o">-</span> <span class="n">mu</span>
+ <span class="c1"># print(</span>
+ <span class="c1"># "M={} ({}) P={} : mu={} sigma={} K={} nu={} norm=%g\n".format(</span>
+ <span class="c1"># Mwas, M1, P, mu, sigma, K, nu</span>
+ <span class="c1"># )</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># print "FUNC $distdata{Izzard2012}{$M}{$log10Pmin} * (exp(- (x-$mu)**2/(2.0*$sigma*$sigma) ) + $K/MAX(0.1,$lP)) * $g;\n";</span>
+
+ <span class="k">if</span> <span class="p">(</span><span class="n">lP</span> <span class="o"><</span> <span class="n">log10Pmin</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span><span class="n">lP</span> <span class="o">></span> <span class="mf">10.0</span><span class="p">):</span>
+ <span class="k">return</span> <span class="mi">0</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">return</span> <span class="p">(</span>
+ <span class="n">distribution_constants</span><span class="p">[</span><span class="s2">"Izzard2012"</span><span class="p">][</span><span class="n">M1</span><span class="p">][</span><span class="n">log10Pmin</span><span class="p">]</span>
+ <span class="o">*</span> <span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="n">lPmu</span> <span class="o">*</span> <span class="n">lPmu</span> <span class="o">/</span> <span class="p">(</span><span class="mf">2.0</span> <span class="o">*</span> <span class="n">sigma</span> <span class="o">*</span> <span class="n">sigma</span><span class="p">))</span> <span class="o">+</span> <span class="n">K</span> <span class="o">/</span> <span class="nb">max</span><span class="p">(</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">lP</span><span class="p">))</span>
+ <span class="o">*</span> <span class="n">g</span>
+ <span class="p">)</span></div>
+
+
+<span class="c1">########################################################################</span>
+<span class="c1"># Mass ratio distributions</span>
+<span class="c1">########################################################################</span>
+
+
+<div class="viewcode-block" id="flatsections"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.flatsections">[docs]</a><span class="k">def</span> <span class="nf">flatsections</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="n">opts</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to generate flat distributions, possibly in multiple sections</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> x: mass ratio value</span>
+<span class="sd"> opts: list containing the flat sections. Which are themselves dictionaries, with keys "max": upper bound, "min": lower bound and "height": value</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> probability of that mass ratio.</span>
+<span class="sd"> """</span>
+
+ <span class="n">c</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">y</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="k">for</span> <span class="n">opt</span> <span class="ow">in</span> <span class="n">opts</span><span class="p">:</span>
+ <span class="n">dc</span> <span class="o">=</span> <span class="p">(</span><span class="n">opt</span><span class="p">[</span><span class="s2">"max"</span><span class="p">]</span> <span class="o">-</span> <span class="n">opt</span><span class="p">[</span><span class="s2">"min"</span><span class="p">])</span> <span class="o">*</span> <span class="n">opt</span><span class="p">[</span><span class="s2">"height"</span><span class="p">]</span>
+ <span class="c1"># print("added flatsection ({}-{})*{} = {}\n".format(</span>
+ <span class="c1"># opt['max'], opt['min'], opt['height'], dc))</span>
+ <span class="n">c</span> <span class="o">+=</span> <span class="n">dc</span>
+ <span class="k">if</span> <span class="n">opt</span><span class="p">[</span><span class="s2">"min"</span><span class="p">]</span> <span class="o"><=</span> <span class="n">x</span> <span class="o"><=</span> <span class="n">opt</span><span class="p">[</span><span class="s2">"max"</span><span class="p">]:</span>
+ <span class="n">y</span> <span class="o">=</span> <span class="n">opt</span><span class="p">[</span><span class="s2">"height"</span><span class="p">]</span>
+ <span class="c1"># print("Use this\n")</span>
+
+ <span class="n">c</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">c</span>
+ <span class="n">y</span> <span class="o">=</span> <span class="n">y</span> <span class="o">*</span> <span class="n">c</span>
+
+ <span class="c1"># print("flatsections gives C={}: y={}\n",c,y)</span>
+ <span class="k">return</span> <span class="n">y</span></div>
+
+
+<span class="c1"># print(flatsections(1, [{'min': 0, 'max': 2, 'height': 3}]))</span>
+
+<span class="c1">########################################################################</span>
+<span class="c1"># Eccentricity distributions</span>
+<span class="c1">########################################################################</span>
+
+<span class="c1">########################################################################</span>
+<span class="c1"># Star formation histories</span>
+<span class="c1">########################################################################</span>
+
+
+<div class="viewcode-block" id="cosmic_SFH_madau_dickinson2014"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.cosmic_SFH_madau_dickinson2014">[docs]</a><span class="k">def</span> <span class="nf">cosmic_SFH_madau_dickinson2014</span><span class="p">(</span><span class="n">z</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Cosmic star formation history distribution from Madau & Dickonson 2014 (https://arxiv.org/pdf/1403.0007.pdf)</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> z: redshift</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Cosmic star formation rate in Solarmass year^-1 megaparsec^-3</span>
+<span class="sd"> """</span>
+
+ <span class="n">CSFH</span> <span class="o">=</span> <span class="mf">0.015</span> <span class="o">*</span> <span class="p">((</span><span class="mi">1</span> <span class="o">+</span> <span class="n">z</span><span class="p">)</span> <span class="o">**</span> <span class="mf">2.7</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="p">(((</span><span class="mi">1</span> <span class="o">+</span> <span class="n">z</span><span class="p">)</span> <span class="o">/</span> <span class="mf">2.9</span><span class="p">)</span> <span class="o">**</span> <span class="mf">5.6</span><span class="p">))</span>
+
+ <span class="k">return</span> <span class="n">CSFH</span></div>
+
+
+<span class="c1">########################################################################</span>
+<span class="c1"># Metallicity distributions</span>
+<span class="c1">########################################################################</span>
+
+
+<span class="c1">########################################################################</span>
+<span class="c1"># Moe & DiStefano 2017 functions</span>
+<span class="c1">#</span>
+<span class="c1"># The code below are functions that are used to set up and interpolate</span>
+<span class="c1"># on the Moe & DiStefano 2017 data. The interpolators take the last</span>
+<span class="c1"># known value if we try to interpolate outside of the tables.</span>
+<span class="c1"># There are still some open tasks and improvements that can be made:</span>
+<span class="c1">#</span>
+<span class="c1"># TODO: Solve the memory issues that are present. </span>
+<span class="c1"># Are the interpolators not cleaned? </span>
+<span class="c1"># TODO: Parallellize the setting up of the interpolators</span>
+<span class="c1"># TODO: Generalize the code such that we can input other/newer tables</span>
+
+<span class="c1">########################################################################</span>
+
+<span class="kn">import</span> <span class="nn">py_rinterpolate</span>
+
+<span class="c1"># Global dictionary to store values in</span>
+<span class="n">Moecache</span> <span class="o">=</span> <span class="p">{}</span>
+
+<div class="viewcode-block" id="poisson"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.poisson">[docs]</a><span class="k">def</span> <span class="nf">poisson</span><span class="p">(</span><span class="n">lambda_val</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="n">nmax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that calculates the poisson value and normalizes</span>
+<span class="sd"> TODO: improve the description</span>
+<span class="sd"> """</span>
+
+ <span class="n">cachekey</span> <span class="o">=</span> <span class="s2">"</span><span class="si">{}</span><span class="s2"> </span><span class="si">{}</span><span class="s2"> </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">lambda_val</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="n">nmax</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">distribution_constants</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"poisson_cache"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="k">if</span> <span class="n">distribution_constants</span><span class="p">[</span><span class="s2">"poisson_cache"</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">cachekey</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">p_val</span> <span class="o">=</span> <span class="n">distribution_constants</span><span class="p">[</span><span class="s2">"poisson_cache"</span><span class="p">][</span><span class="n">cachekey</span><span class="p">]</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: found cached value for poisson(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">): </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">lambda_val</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="n">nmax</span><span class="p">,</span> <span class="n">p_val</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">p_val</span>
+
+ <span class="c1"># Poisson distribution : note, n can be zero</span>
+ <span class="c1">#</span>
+ <span class="c1"># nmax is the truncation : if set, we normalize</span>
+ <span class="c1"># correctly.</span>
+ <span class="n">p_val</span> <span class="o">=</span> <span class="n">_poisson</span><span class="p">(</span><span class="n">lambda_val</span><span class="p">,</span> <span class="n">n</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">nmax</span><span class="p">:</span>
+ <span class="n">I_poisson</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">nmax</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span>
+ <span class="n">I_poisson</span> <span class="o">+=</span> <span class="n">_poisson</span><span class="p">(</span><span class="n">lambda_val</span><span class="p">,</span> <span class="n">i</span><span class="p">)</span>
+ <span class="n">p_val</span> <span class="o">=</span> <span class="n">p_val</span> <span class="o">/</span> <span class="n">I_poisson</span>
+
+ <span class="c1"># Add to cache</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">distribution_constants</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"poisson_cache"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">distribution_constants</span><span class="p">[</span><span class="s2">"poisson_cache"</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="n">distribution_constants</span><span class="p">[</span><span class="s2">"poisson_cache"</span><span class="p">][</span><span class="n">cachekey</span><span class="p">]</span> <span class="o">=</span> <span class="n">p_val</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Poisson(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">): </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">lambda_val</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="n">nmax</span><span class="p">,</span> <span class="n">p_val</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="n">p_val</span></div>
+
+
+<span class="k">def</span> <span class="nf">_poisson</span><span class="p">(</span><span class="n">lambda_val</span><span class="p">,</span> <span class="n">n</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to return the poisson value</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="p">(</span><span class="n">lambda_val</span> <span class="o">**</span> <span class="n">n</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="n">lambda_val</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">factorial</span><span class="p">(</span><span class="n">n</span><span class="p">))</span>
+
+<div class="viewcode-block" id="get_max_multiplicity"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.get_max_multiplicity">[docs]</a><span class="k">def</span> <span class="nf">get_max_multiplicity</span><span class="p">(</span><span class="n">multiplicity_array</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to get the maximum multiplicity</span>
+<span class="sd"> """</span>
+
+ <span class="n">max_multiplicity</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">4</span><span class="p">):</span>
+ <span class="k">if</span> <span class="n">multiplicity_array</span><span class="p">[</span><span class="n">n</span><span class="p">]</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">max_multiplicity</span> <span class="o">=</span> <span class="n">n</span> <span class="o">+</span> <span class="mi">1</span>
+ <span class="k">return</span> <span class="n">max_multiplicity</span></div>
+
+<div class="viewcode-block" id="merge_multiplicities"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.merge_multiplicities">[docs]</a><span class="k">def</span> <span class="nf">merge_multiplicities</span><span class="p">(</span><span class="n">result_array</span><span class="p">,</span> <span class="n">max_multiplicity</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to fold the multiplicities higher than the max_multiplicity onto the max_multiplicity</span>
+
+<span class="sd"> if max_multiplicity == 1:</span>
+<span class="sd"> All the multiplicities are folded onto multiplicity == 1. This will always total to 1</span>
+<span class="sd"> if max_multiplicity == 2:</span>
+<span class="sd"> The multiplicity fractions of the triple and quadruples are folded onto that of the binary multiplicity fraction</span>
+<span class="sd"> if max_multiplicity == 3:</span>
+<span class="sd"> The multiplicity fractions of the quadruples are folded onto that of the triples</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">max_multiplicity</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">5</span><span class="p">):</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: merge_multiplicities: max_multiplicity has to be between 1 and 4. It is </span><span class="si">{}</span><span class="s2"> now"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">max_multiplicity</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="n">msg</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># Fold multiplicities:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: merge_multiplicities: Merging multiplicities with initial array </span><span class="si">{}</span><span class="s2"> and max multiplicity </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">result_array</span><span class="p">,</span> <span class="n">max_multiplicity</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">max_multiplicity</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">result_array</span><span class="p">))[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]:</span>
+ <span class="n">result_array</span><span class="p">[</span><span class="n">i</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+=</span> <span class="n">result_array</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+ <span class="n">result_array</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: merge_multiplicities: Merging multiplicities to new array </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">result_array</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">result_array</span></div>
+
+<div class="viewcode-block" id="normalize_dict"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.normalize_dict">[docs]</a><span class="k">def</span> <span class="nf">normalize_dict</span><span class="p">(</span><span class="n">result_dict</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to normalize a dictionary</span>
+<span class="sd"> """</span>
+
+ <span class="n">sum_result</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">([</span><span class="n">result_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">result_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">()])</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">result_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="n">result_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">result_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">/</span> <span class="n">sum_result</span>
+ <span class="k">return</span> <span class="n">result_dict</span></div>
+
+<div class="viewcode-block" id="Moe_de_Stefano_2017_multiplicity_fractions"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.Moe_de_Stefano_2017_multiplicity_fractions">[docs]</a><span class="k">def</span> <span class="nf">Moe_de_Stefano_2017_multiplicity_fractions</span><span class="p">(</span><span class="n">options</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that creates a list of probability fractions and</span>
+<span class="sd"> normalizes and merges them according to the users choice.</span>
+
+
+<span class="sd"> TODO: make an extrapolation functionality in this. log10(1.6e1)</span>
+<span class="sd"> is low, we can probably go a bit further</span>
+
+<span class="sd"> The default result that is returned when sampling the mass outside</span>
+<span class="sd"> of the mass range is now the last known value</span>
+
+<span class="sd"> Returns a list of multiplicity fractions for a given input of mass</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Use the global Moecache</span>
+ <span class="k">global</span> <span class="n">Moecache</span>
+
+ <span class="n">multiplicity_modulator_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"multiplicity_modulator"</span><span class="p">])</span> <span class="c1"># Modulator array</span>
+
+ <span class="c1"># Check for length</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">len</span><span class="p">(</span><span class="n">multiplicity_modulator_array</span><span class="p">)</span><span class="o">==</span><span class="mi">4</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Multiplicity modulator has to have 4 elements. Now it is </span><span class="si">{}</span><span class="s2">, len: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">multiplicity_modulator_array</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">multiplicity_modulator_array</span><span class="p">))</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="n">msg</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># Set up some arrays</span>
+ <span class="n">full_fractions_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span> <span class="c1"># Meant to contain the real fractions</span>
+ <span class="n">weighted_fractions_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span> <span class="c1"># Meant to contain the fractions multiplied by the multiplicity modulator</span>
+
+ <span class="c1"># Get max multiplicity</span>
+ <span class="n">max_multiplicity</span> <span class="o">=</span> <span class="n">get_max_multiplicity</span><span class="p">(</span><span class="n">multiplicity_modulator_array</span><span class="p">)</span>
+
+ <span class="c1"># ... it's better to interpolate the multiplicity and then</span>
+ <span class="c1"># use a Poisson distribution to calculate the fractions</span>
+ <span class="c1"># (this is more accurate)</span>
+
+ <span class="c1"># Set up the multiplicity interpolator</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"rinterpolator_multiplicity"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_multiplicity"</span><span class="p">]</span> <span class="o">=</span> <span class="n">py_rinterpolate</span><span class="o">.</span><span class="n">Rinterpolate</span><span class="p">(</span>
+ <span class="n">table</span><span class="o">=</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"multiplicity_table"</span><span class="p">],</span> <span class="c1"># Contains the table of data</span>
+ <span class="n">nparams</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># logM1</span>
+ <span class="n">ndata</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="c1"># The amount of datapoints (the parameters that we want to interpolate)</span>
+ <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span> <span class="o">-</span> <span class="p">(</span><span class="n">_MS_VERBOSITY_INTERPOLATOR_LEVEL</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">options</span><span class="p">[</span><span class="s2">"multiplicity_model"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"Poisson"</span><span class="p">:</span>
+ <span class="n">multiplicity</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_multiplicity"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">])]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="c1"># Fill the multiplicity array</span>
+ <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">4</span><span class="p">):</span>
+ <span class="n">full_fractions_array</span><span class="p">[</span><span class="n">n</span><span class="p">]</span> <span class="o">=</span> <span class="n">poisson</span><span class="p">(</span><span class="n">multiplicity</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">verbosity</span><span class="p">)</span>
+
+ <span class="c1"># Normalize it so it fills to one when taking all the multiplicities:</span>
+ <span class="n">full_fractions_array</span> <span class="o">=</span> <span class="n">full_fractions_array</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">full_fractions_array</span><span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_multiplicity_fractions: using model </span><span class="si">{}</span><span class="s2">: full_fractions_array: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"Poisson"</span><span class="p">,</span> <span class="n">full_fractions_array</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">elif</span> <span class="n">options</span><span class="p">[</span><span class="s2">"multiplicity_model"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"data"</span><span class="p">:</span>
+ <span class="c1"># use the fractions calculated from Moe's data directly</span>
+ <span class="c1">#</span>
+ <span class="c1"># note that in this case, there are no quadruples: these</span>
+ <span class="c1"># are combined with triples</span>
+
+ <span class="c1"># Fill with the raw values</span>
+ <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">3</span><span class="p">):</span>
+ <span class="n">full_fractions_array</span><span class="p">[</span><span class="n">n</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_multiplicity"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">])]</span>
+ <span class="p">)[</span><span class="n">n</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
+
+ <span class="c1"># Set last value</span>
+ <span class="n">full_fractions_array</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0.0</span> <span class="c1"># no quadruples</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_multiplicity_fractions: using model </span><span class="si">{}</span><span class="s2">: full_fractions_array: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"data"</span><span class="p">,</span> <span class="n">full_fractions_array</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Normalisation:</span>
+ <span class="k">if</span> <span class="n">options</span><span class="p">[</span><span class="s2">"normalize_multiplicities"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"raw"</span><span class="p">:</span>
+ <span class="c1"># Don't multiply by the multiplicity_array, but do give a fractions array</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_multiplicity_fractions: Not normalizing (using raw results): results: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">full_fractions_array</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">result</span> <span class="o">=</span> <span class="n">full_fractions_array</span>
+
+ <span class="k">elif</span> <span class="n">options</span><span class="p">[</span><span class="s2">"normalize_multiplicities"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"norm"</span><span class="p">:</span>
+ <span class="c1"># Multiply the full_multiplicity_fraction array by the multiplicity_multiplier_array, creating a weighted fractions array</span>
+ <span class="n">weighted_fractions_array</span> <span class="o">=</span> <span class="n">full_fractions_array</span> <span class="o">*</span> <span class="n">multiplicity_modulator_array</span>
+
+ <span class="c1"># Normalize this so it is intotal 1:</span>
+ <span class="n">result</span> <span class="o">=</span> <span class="n">weighted_fractions_array</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">weighted_fractions_array</span><span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_multiplicity_fractions: Normalizing with </span><span class="si">{}</span><span class="s2">. result: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"norm"</span><span class="p">,</span> <span class="n">result</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">elif</span> <span class="n">options</span><span class="p">[</span><span class="s2">"normalize_multiplicities"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"merge"</span><span class="p">:</span>
+ <span class="c1"># We first take the full multiplicity array</span>
+ <span class="c1"># (i.e. not multiplied by multiplier) and do the merging</span>
+ <span class="n">result</span> <span class="o">=</span> <span class="n">merge_multiplicities</span><span class="p">(</span><span class="n">full_fractions_array</span><span class="p">,</span> <span class="n">max_multiplicity</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span><span class="p">)</span>
+
+ <span class="c1"># Then normalize to be sure</span>
+ <span class="n">result</span> <span class="o">=</span> <span class="n">result</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_multiplicity_fractions: Normalizing with </span><span class="si">{}</span><span class="s2">, max_multiplicity=</span><span class="si">{}</span><span class="s2"> result=</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"merge"</span><span class="p">,</span> <span class="n">max_multiplicity</span><span class="p">,</span> <span class="n">result</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_multiplicity_fractions: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">result</span><span class="p">)),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># return array reference</span>
+ <span class="k">return</span> <span class="n">result</span></div>
+
+<div class="viewcode-block" id="build_q_table"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.build_q_table">[docs]</a><span class="k">def</span> <span class="nf">build_q_table</span><span class="p">(</span><span class="n">options</span><span class="p">,</span> <span class="n">m</span><span class="p">,</span> <span class="n">p</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="c1">############################################################</span>
+ <span class="c1">#</span>
+ <span class="c1"># Build an interpolation table for q, given a mass and</span>
+ <span class="c1"># orbital period.</span>
+ <span class="c1">#</span>
+ <span class="c1"># $m and $p are labels which determine which system(s)</span>
+ <span class="c1"># to look up from Moe's data:</span>
+ <span class="c1">#</span>
+ <span class="c1"># $m can be M1, M2, M3, M4, or if set M1+M2 etc.</span>
+ <span class="c1"># $p can be P, P2, P3</span>
+ <span class="c1">#</span>
+ <span class="c1"># The actual values are in $opts:</span>
+ <span class="c1">#</span>
+ <span class="c1"># mass is in $opts->{$m}</span>
+ <span class="c1"># period is $opts->{$p}</span>
+ <span class="c1">#</span>
+ <span class="c1"># Since the information from the table for M&S is independent of any choice we make,</span>
+ <span class="c1"># we need to take into account that for example our choice of minimum mass leads to</span>
+ <span class="c1"># a minimum q_min that is not the same as in the table</span>
+ <span class="c1"># We should ignore those parts of the table and renormalize.</span>
+ <span class="c1"># If we are below the lowest value of qmin in the table we need to extrapolate the data</span>
+ <span class="c1">#</span>
+ <span class="c1"># Anyway, the goal of this function is to provide some extrapolated values for q when we should sample outside of the boundaries</span>
+ <span class="c1">############################################################</span>
+
+ <span class="c1"># We can check if we have a cached value for this already:</span>
+ <span class="c1"># TODO: fix this cache check.</span>
+ <span class="n">incache</span> <span class="o">=</span> <span class="kc">False</span>
+ <span class="k">if</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"rinterpolator_q_metadata"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="k">if</span> <span class="p">(</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q_metadata"</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="kc">None</span><span class="p">))</span> <span class="ow">and</span> <span class="p">(</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q_metadata"</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="p">):</span>
+ <span class="k">if</span> <span class="p">(</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q_metadata"</span><span class="p">][</span><span class="n">m</span><span class="p">]</span> <span class="o">==</span> <span class="n">options</span><span class="p">[</span><span class="n">m</span><span class="p">])</span> <span class="ow">and</span> <span class="p">(</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q_metadata"</span><span class="p">][</span><span class="n">p</span><span class="p">]</span> <span class="o">==</span> <span class="n">options</span><span class="p">[</span><span class="n">p</span><span class="p">]</span>
+ <span class="p">):</span>
+ <span class="n">incache</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: Found cached values for m=</span><span class="si">{}</span><span class="s2"> p=</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="n">m</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="n">p</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: Cached values for different m=</span><span class="si">{}</span><span class="s2"> p=</span><span class="si">{}</span><span class="s2">. Freeing current table and making new table"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="n">m</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="n">p</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">incache</span><span class="p">:</span>
+ <span class="c1"># trim and/or expand the table to the range $qmin to $qmax.</span>
+
+ <span class="c1"># qmin is set by the minimum stellar mass : below this</span>
+ <span class="c1"># the companions are planets</span>
+ <span class="c1"># qmin = options["ranges"]["M"][</span>
+ <span class="c1"># 0</span>
+ <span class="c1"># ] # TODO: this lower range must not be lower than Mmin.</span>
+ <span class="c1"># print("build_q_table qmin: {}".format(qmin))</span>
+ <span class="n">qmin</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="s1">'Mmin'</span><span class="p">]</span><span class="o">/</span><span class="n">options</span><span class="p">[</span><span class="s1">'M_1'</span><span class="p">]</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"build_q_table qmin: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">qmin</span><span class="p">))</span>
+
+ <span class="c1"># qmax = maximum_mass_ratio_for_RLOF(options[m], options[p])</span>
+ <span class="c1"># TODO: change this to the above</span>
+ <span class="n">qmax</span> <span class="o">=</span> <span class="mi">1</span>
+
+ <span class="c1"># qdata contains the table that we modify: we get</span>
+ <span class="c1"># the original data by interpolating Moe's table</span>
+ <span class="n">qdata</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="n">can_renormalize</span> <span class="o">=</span> <span class="mi">1</span>
+
+ <span class="n">qeps</span> <span class="o">=</span> <span class="mf">1e-8</span> <span class="c1"># small number but such that qeps+1 != 1</span>
+ <span class="k">if</span> <span class="n">qeps</span> <span class="o">+</span> <span class="mi">1</span> <span class="o">==</span> <span class="mf">1.0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"qeps (= </span><span class="si">{}</span><span class="s2">) +1 == 1. Make qeps larger"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">qeps</span><span class="p">))</span>
+
+ <span class="k">if</span> <span class="n">qmin</span> <span class="o">>=</span> <span class="n">qmax</span><span class="p">:</span>
+ <span class="c1"># there may be NO binaries in this part of the parameter space:</span>
+ <span class="c1"># in which case, set up a table with lots of zero in it</span>
+
+ <span class="n">qdata</span> <span class="o">=</span> <span class="p">{</span><span class="mi">0</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">:</span> <span class="mi">0</span><span class="p">}</span>
+ <span class="n">can_renormalize</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># qmin and qmax mean we'll get something non-zero</span>
+ <span class="n">can_renormalize</span> <span class="o">=</span> <span class="mi">1</span>
+
+ <span class="c1"># require extrapolation sets whether we need to extrapolate</span>
+ <span class="c1"># at the low and high ends</span>
+ <span class="n">require_extrapolation</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="k">if</span> <span class="n">qmin</span> <span class="o">>=</span> <span class="mf">0.15</span><span class="p">:</span>
+ <span class="c1"># qmin is inside Moe's table : this is easy,</span>
+ <span class="c1"># we just keep points from qmin at the low</span>
+ <span class="c1"># end to qmax at the high end.</span>
+ <span class="n">require_extrapolation</span><span class="p">[</span><span class="s2">"low"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">require_extrapolation</span><span class="p">[</span>
+ <span class="s2">"high"</span>
+ <span class="p">]</span> <span class="o">=</span> <span class="mi">1</span> <span class="c1"># TODO: shouldnt the extrapolation need to happen if qmax > 0.95</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">qmin</span><span class="p">]</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">m</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">p</span><span class="p">]),</span> <span class="n">qmin</span><span class="p">]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="k">for</span> <span class="n">q</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mf">0.15</span><span class="p">,</span> <span class="mf">0.950001</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">):</span>
+ <span class="k">if</span> <span class="p">(</span><span class="n">q</span> <span class="o">>=</span> <span class="n">qmin</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span><span class="n">q</span> <span class="o"><=</span> <span class="n">qmax</span><span class="p">):</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">q</span><span class="p">]</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">m</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">p</span><span class="p">]),</span> <span class="n">q</span><span class="p">]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">require_extrapolation</span><span class="p">[</span><span class="s2">"low"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
+ <span class="n">require_extrapolation</span><span class="p">[</span><span class="s2">"high"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
+ <span class="k">if</span> <span class="n">qmax</span> <span class="o"><</span> <span class="mf">0.15</span><span class="p">:</span>
+ <span class="c1"># qmax < 0.15 which is off the edge</span>
+ <span class="c1"># of the table. In this case, choose</span>
+ <span class="c1"># two points at q=0.15 and 0.16 and interpolate</span>
+ <span class="c1"># at these in case we want to extrapolate.</span>
+ <span class="k">for</span> <span class="n">q</span> <span class="ow">in</span> <span class="p">[</span><span class="mf">0.15</span><span class="p">,</span> <span class="mf">0.16</span><span class="p">]:</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">q</span><span class="p">]</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">m</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">p</span><span class="p">]),</span> <span class="n">q</span><span class="p">]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># qmin < 0.15 and qmax > 0.15, so we</span>
+ <span class="c1"># have to generate Moe's table for</span>
+ <span class="c1"># q = 0.15 (i.e. 0.1 to 0.2) to 0.95 (0.9 to 1)</span>
+ <span class="c1"># as a function of M1 and orbital period,</span>
+ <span class="c1"># to obtain the q distribution data.</span>
+
+ <span class="k">for</span> <span class="n">q</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mf">0.15</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">([</span><span class="mf">0.950001</span><span class="p">,</span> <span class="n">qmax</span> <span class="o">+</span> <span class="mf">0.0001</span><span class="p">]),</span> <span class="mf">0.1</span><span class="p">):</span>
+ <span class="n">val</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">m</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">p</span><span class="p">]),</span> <span class="n">q</span><span class="p">]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">q</span><span class="p">]</span> <span class="o">=</span> <span class="n">val</span>
+
+ <span class="c1"># just below qmin, if qmin>qeps, we want nothing</span>
+ <span class="k">if</span> <span class="n">qmin</span> <span class="o">-</span> <span class="mf">0.15</span> <span class="o">></span> <span class="n">qeps</span><span class="p">:</span>
+ <span class="n">q</span> <span class="o">=</span> <span class="n">qmin</span> <span class="o">-</span> <span class="n">qeps</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">q</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">require_extrapolation</span><span class="p">[</span><span class="s2">"low"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># just above qmax, if qmax<1, we want nothing</span>
+ <span class="k">if</span> <span class="n">qmax</span> <span class="o"><</span> <span class="mf">0.95</span><span class="p">:</span>
+ <span class="n">q</span> <span class="o">=</span> <span class="n">qmax</span> <span class="o">+</span> <span class="n">qeps</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">q</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">require_extrapolation</span><span class="p">[</span><span class="s2">"high"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># sorted list of qs</span>
+ <span class="n">qs</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">qdata</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">qs</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"No qs found error"</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">qs</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="c1"># only one q value : pretend there are two</span>
+ <span class="c1"># with a flat distribution up to 1.0.</span>
+ <span class="k">if</span> <span class="n">qs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="mf">1.0</span><span class="p">:</span>
+ <span class="n">qs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">-</span> <span class="mf">1e-6</span>
+ <span class="n">qs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span> <span class="o">=</span> <span class="mi">1</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="o">=</span> <span class="mi">1</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">qs</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="o">=</span> <span class="n">qs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="c1"># We actually should do the extrapolation now.</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># Loop over both the lower end and the upper end</span>
+ <span class="k">for</span> <span class="n">pre</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"low"</span><span class="p">,</span> <span class="s2">"high"</span><span class="p">]:</span>
+ <span class="k">if</span> <span class="n">require_extrapolation</span><span class="p">[</span><span class="n">pre</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="k">continue</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">sign</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span> <span class="k">if</span> <span class="n">pre</span> <span class="o">==</span> <span class="s2">"low"</span> <span class="k">else</span> <span class="mi">1</span>
+ <span class="n">end_index</span> <span class="o">=</span> <span class="mi">0</span> <span class="k">if</span> <span class="n">pre</span> <span class="o">==</span> <span class="s2">"low"</span> <span class="k">else</span> <span class="nb">len</span><span class="p">(</span><span class="n">qs</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span>
+ <span class="n">indices</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="k">if</span> <span class="n">pre</span> <span class="o">==</span> <span class="s2">"low"</span> <span class="k">else</span> <span class="p">[</span><span class="nb">len</span><span class="p">(</span><span class="n">qs</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">qs</span><span class="p">)</span> <span class="o">-</span> <span class="mi">2</span><span class="p">]</span>
+ <span class="p">)</span> <span class="c1"># Based on whether we do the high or low end we need to use two different indices</span>
+ <span class="n">method</span> <span class="o">=</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span>
+ <span class="s2">"q_</span><span class="si">{}</span><span class="s2">_extrapolation_method"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">pre</span><span class="p">),</span> <span class="kc">None</span>
+ <span class="p">)</span>
+ <span class="n">qlimit</span> <span class="o">=</span> <span class="n">qmin</span> <span class="k">if</span> <span class="n">pre</span> <span class="o">==</span> <span class="s2">"low"</span> <span class="k">else</span> <span class="n">qmax</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: Extrapolating: Q: </span><span class="si">{}</span><span class="s2"> method: </span><span class="si">{}</span><span class="s2">, indices: </span><span class="si">{}</span><span class="s2"> End index: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">pre</span><span class="p">,</span> <span class="n">method</span><span class="p">,</span> <span class="n">indices</span><span class="p">,</span> <span class="n">end_index</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># truncate the distribution</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="nb">max</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="nb">min</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">qlimit</span> <span class="o">+</span> <span class="n">sign</span> <span class="o">*</span> <span class="n">qeps</span><span class="p">))]</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="k">if</span> <span class="n">method</span> <span class="o">==</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="c1"># no extrapolation : just interpolate between 0.10 and 0.95</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: using no extrapolations"</span><span class="o">.</span><span class="n">format</span><span class="p">(),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">continue</span>
+ <span class="k">elif</span> <span class="n">method</span> <span class="o">==</span> <span class="s2">"flat"</span><span class="p">:</span>
+ <span class="c1"># use the end value value and extrapolate it</span>
+ <span class="c1"># with zero slope</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">qlimit</span><span class="p">]</span> <span class="o">=</span> <span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="n">end_index</span><span class="p">]]</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: using constant extrapolation"</span><span class="o">.</span><span class="n">format</span><span class="p">(),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">elif</span> <span class="n">method</span> <span class="o">==</span> <span class="s2">"linear"</span><span class="p">:</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">qlimit</span><span class="p">]</span> <span class="o">=</span> <span class="n">linear_extrapolation_q</span><span class="p">(</span>
+ <span class="n">qs</span><span class="o">=</span><span class="n">qs</span><span class="p">,</span>
+ <span class="n">indices</span><span class="o">=</span><span class="n">indices</span><span class="p">,</span>
+ <span class="n">qlimit</span><span class="o">=</span><span class="n">qlimit</span><span class="p">,</span>
+ <span class="n">qdata</span><span class="o">=</span><span class="n">qdata</span><span class="p">,</span>
+ <span class="n">end_index</span><span class="o">=</span><span class="n">end_index</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: using linear extrapolation"</span><span class="o">.</span><span class="n">format</span><span class="p">(),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">if</span> <span class="n">pre</span><span class="o">==</span><span class="s1">'low'</span><span class="p">:</span>
+ <span class="n">below_qlimit</span> <span class="o">=</span> <span class="n">qlimit</span><span class="o">-</span><span class="n">qeps</span>
+ <span class="k">if</span> <span class="n">below_qlimit</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">below_qlimit</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: using linear extrapolation and setting the points below the lower q bound (</span><span class="si">{}</span><span class="s2">) to 0 "</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">qlimit</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">elif</span> <span class="n">method</span> <span class="o">==</span> <span class="s2">"plaw2"</span><span class="p">:</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">qlimit</span><span class="p">]</span> <span class="o">=</span> <span class="n">powerlaw_extrapolation_q</span><span class="p">(</span>
+ <span class="n">qs</span><span class="o">=</span><span class="n">qs</span><span class="p">,</span> <span class="n">indices</span><span class="o">=</span><span class="n">indices</span><span class="p">,</span> <span class="n">qdata</span><span class="o">=</span><span class="n">qdata</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span>
+ <span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: using powerlaw extrapolation"</span><span class="o">.</span><span class="n">format</span><span class="p">(),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">elif</span> <span class="n">method</span> <span class="o">==</span> <span class="s2">"nolowq"</span><span class="p">:</span>
+ <span class="n">newq</span> <span class="o">=</span> <span class="mf">0.05</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">newq</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: setting lowq to 0"</span><span class="o">.</span><span class="n">format</span><span class="p">(),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">elif</span> <span class="n">method</span><span class="o">==</span><span class="s2">"poly"</span><span class="p">:</span>
+ <span class="c1"># TODO: consider implementing the poly method (see perl version)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"M&S: build_q_table: Method 'poly' not implemented"</span><span class="p">)</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: Error no other methods available. The chosen method (</span><span class="si">{}</span><span class="s2">) does not exist!"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">method</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="n">msg</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># regenerate qs in new table. This is now the updated list of qs where we have some extrapolated numbers</span>
+ <span class="n">tmp_table</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="k">for</span> <span class="n">q</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">qdata</span><span class="o">.</span><span class="n">keys</span><span class="p">()):</span>
+ <span class="n">tmp_table</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">q</span><span class="p">,</span> <span class="n">qdata</span><span class="p">[</span><span class="n">q</span><span class="p">]])</span>
+
+ <span class="c1"># Make an interpolation table to contain our modified data</span>
+ <span class="n">q_interpolator</span> <span class="o">=</span> <span class="n">py_rinterpolate</span><span class="o">.</span><span class="n">Rinterpolate</span><span class="p">(</span>
+ <span class="n">table</span><span class="o">=</span><span class="n">tmp_table</span><span class="p">,</span>
+ <span class="n">nparams</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">ndata</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># Contains the table of data # q #</span>
+ <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span> <span class="o">-</span> <span class="p">(</span><span class="n">_MS_VERBOSITY_INTERPOLATOR_LEVEL</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: Created a new Q table"</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">can_renormalize</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: Renormalizing table"</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># now we integrate and renormalize (if the table is not all zero)</span>
+ <span class="n">I</span> <span class="o">=</span> <span class="n">get_integration_constant_q</span><span class="p">(</span><span class="n">q_interpolator</span><span class="p">,</span> <span class="n">tmp_table</span><span class="p">,</span> <span class="n">qdata</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">I</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="c1"># normalize to 1.0 by dividing the data by 1.0/$I</span>
+ <span class="n">q_interpolator</span><span class="o">.</span><span class="n">multiply_table_column</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">I</span><span class="p">)</span>
+
+ <span class="c1"># test this</span>
+ <span class="n">new_I</span> <span class="o">=</span> <span class="n">get_integration_constant_q</span><span class="p">(</span><span class="n">q_interpolator</span><span class="p">,</span> <span class="n">tmp_table</span><span class="p">,</span> <span class="n">qdata</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span><span class="p">)</span>
+
+ <span class="c1"># fail if error in integral > 1e-6 (should be ~ machine precision)</span>
+ <span class="k">if</span> <span class="nb">abs</span><span class="p">(</span><span class="mf">1.0</span> <span class="o">-</span> <span class="n">new_I</span><span class="p">)</span> <span class="o">></span> <span class="mf">1e-6</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: Error: > 1e-6 in q probability integral: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">I</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># set this new table in the cache</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q_given_</span><span class="si">{}</span><span class="s2">_log10</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="n">p</span><span class="p">)]</span> <span class="o">=</span> <span class="n">q_interpolator</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: stored q_interpolater as </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="s2">"rinterpolator_q_given_</span><span class="si">{}</span><span class="s2">_log10</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Store the values for which this table was set up in the dict</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"rinterpolator_q_metadata"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q_metadata"</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q_metadata"</span><span class="p">][</span><span class="n">m</span><span class="p">]</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="n">m</span><span class="p">]</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q_metadata"</span><span class="p">][</span><span class="n">p</span><span class="p">]</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="n">p</span><span class="p">]</span></div>
+
+
+<div class="viewcode-block" id="powerlaw_extrapolation_q"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.powerlaw_extrapolation_q">[docs]</a><span class="k">def</span> <span class="nf">powerlaw_extrapolation_q</span><span class="p">(</span><span class="n">qdata</span><span class="p">,</span> <span class="n">qs</span><span class="p">,</span> <span class="n">indices</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to do the powerlaw extrapolation at the lower end of the q range</span>
+<span class="sd"> """</span>
+ <span class="n">newq</span> <span class="o">=</span> <span class="mf">0.05</span>
+
+ <span class="c1"># use a power-law extrapolation down to q=0.05, if possible</span>
+ <span class="k">if</span> <span class="p">(</span><span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]]]</span> <span class="o">==</span> <span class="mf">0.0</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span><span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">1</span><span class="p">]]]</span> <span class="o">==</span> <span class="mf">0.0</span><span class="p">):</span>
+ <span class="c1"># not possible</span>
+ <span class="k">return</span> <span class="mi">0</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">slope</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">1</span><span class="p">]]])</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]]]))</span> <span class="o">/</span> <span class="p">(</span>
+ <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">1</span><span class="p">]])</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]])</span>
+ <span class="p">)</span>
+ <span class="n">intercept</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]]])</span> <span class="o">-</span> <span class="n">slope</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]])</span>
+
+ <span class="k">return</span> <span class="n">slope</span> <span class="o">*</span> <span class="n">newq</span> <span class="o">+</span> <span class="n">intercept</span></div>
+
+
+<div class="viewcode-block" id="linear_extrapolation_q"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.linear_extrapolation_q">[docs]</a><span class="k">def</span> <span class="nf">linear_extrapolation_q</span><span class="p">(</span><span class="n">qs</span><span class="p">,</span> <span class="n">indices</span><span class="p">,</span> <span class="n">qlimit</span><span class="p">,</span> <span class="n">qdata</span><span class="p">,</span> <span class="n">end_index</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to do the linear extrapolation for q.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># linear extrapolation</span>
+ <span class="n">dq</span> <span class="o">=</span> <span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="o">-</span> <span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+
+ <span class="k">if</span> <span class="n">dq</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: linear dq=0"</span><span class="o">.</span><span class="n">format</span><span class="p">(),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># No change</span>
+ <span class="k">return</span> <span class="n">qs</span><span class="p">[</span><span class="n">end_index</span><span class="p">]</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">slope</span> <span class="o">=</span> <span class="p">(</span><span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">1</span><span class="p">]]]</span> <span class="o">-</span> <span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]]])</span> <span class="o">/</span> <span class="n">dq</span>
+
+ <span class="n">intercept</span> <span class="o">=</span> <span class="n">qdata</span><span class="p">[</span><span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]]]</span> <span class="o">-</span> <span class="n">slope</span> <span class="o">*</span> <span class="n">qs</span><span class="p">[</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+ <span class="n">qdata</span><span class="p">[</span><span class="n">qlimit</span><span class="p">]</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="n">slope</span> <span class="o">*</span> <span class="n">qlimit</span> <span class="o">+</span> <span class="n">intercept</span><span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: linear Slope: </span><span class="si">{}</span><span class="s2"> intercept: </span><span class="si">{}</span><span class="s2"> dn/dq(</span><span class="si">{}</span><span class="s2">) = </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">slope</span><span class="p">,</span> <span class="n">intercept</span><span class="p">,</span> <span class="n">qlimit</span><span class="p">,</span> <span class="n">qdata</span><span class="p">[</span><span class="n">qlimit</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="nb">max</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="n">slope</span> <span class="o">*</span> <span class="n">qlimit</span> <span class="o">+</span> <span class="n">intercept</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="get_integration_constant_q"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.get_integration_constant_q">[docs]</a><span class="k">def</span> <span class="nf">get_integration_constant_q</span><span class="p">(</span><span class="n">q_interpolator</span><span class="p">,</span> <span class="n">tmp_table</span><span class="p">,</span> <span class="n">qdata</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to integrate the q interpolator and return the integration constant</span>
+<span class="sd"> """</span>
+
+ <span class="n">dq</span> <span class="o">=</span> <span class="mf">1e-3</span> <span class="c1"># resolution of the integration/renormalization</span>
+ <span class="n">I</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># integrate: note that the value of the integral is</span>
+ <span class="c1"># meaningless to within a factor (which depends on $dq)</span>
+ <span class="k">for</span> <span class="n">q</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span> <span class="o">+</span> <span class="mf">2e-6</span><span class="p">,</span> <span class="n">dq</span><span class="p">):</span>
+ <span class="n">x</span> <span class="o">=</span> <span class="n">q_interpolator</span><span class="o">.</span><span class="n">interpolate</span><span class="p">([</span><span class="n">q</span><span class="p">])</span>
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: build_q_table: Q interpolator table interpolation failed.</span><span class="se">\n\t\t</span><span class="s2">tmp_table = </span><span class="si">{}</span><span class="se">\n\t\t</span><span class="s2">q_data = </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">str</span><span class="p">(</span><span class="n">tmp_table</span><span class="p">),</span> <span class="nb">str</span><span class="p">(</span><span class="n">qdata</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="n">msg</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">I</span> <span class="o">+=</span> <span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="n">dq</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "\tM&S: build_q_table: dn/dq ({}) = {} I -> = {}".format(q, x[0], I),</span>
+ <span class="c1"># verbosity,</span>
+ <span class="c1"># _MS_VERBOSITY_LEVEL,</span>
+ <span class="c1"># )</span>
+ <span class="k">return</span> <span class="n">I</span></div>
+
+
+<div class="viewcode-block" id="fill_data"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.fill_data">[docs]</a><span class="k">def</span> <span class="nf">fill_data</span><span class="p">(</span><span class="n">sample_values</span><span class="p">,</span> <span class="n">data_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that returns the normalized array of values for given logmass and logperiod</span>
+<span class="sd"> used for the e and q values</span>
+
+<span class="sd"> TODO: make sure we do the correct thing with the dstep</span>
+<span class="sd"> """</span>
+
+ <span class="n">data</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="n">I</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="n">dstep</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">sample_values</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span> <span class="o">-</span> <span class="nb">float</span><span class="p">(</span><span class="n">sample_values</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+ <span class="c1"># Read out the data</span>
+ <span class="k">for</span> <span class="n">sample_value</span> <span class="ow">in</span> <span class="n">sample_values</span><span class="p">:</span>
+ <span class="n">val</span> <span class="o">=</span> <span class="n">data_dict</span><span class="p">[</span><span class="n">sample_value</span><span class="p">]</span>
+ <span class="n">data</span><span class="p">[</span><span class="n">sample_value</span><span class="p">]</span> <span class="o">=</span> <span class="n">val</span>
+ <span class="n">I</span> <span class="o">+=</span> <span class="n">val</span>
+
+ <span class="c1"># Normalize the data</span>
+ <span class="k">for</span> <span class="n">sample_value</span> <span class="ow">in</span> <span class="n">sample_values</span><span class="p">:</span>
+ <span class="n">data</span><span class="p">[</span><span class="n">sample_value</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">sample_value</span><span class="p">]</span> <span class="o">/</span> <span class="n">I</span>
+
+ <span class="k">return</span> <span class="n">data</span></div>
+
+
+<div class="viewcode-block" id="calc_e_integral"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.calc_e_integral">[docs]</a><span class="k">def</span> <span class="nf">calc_e_integral</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">,</span> <span class="n">integrals_string</span><span class="p">,</span> <span class="n">interpolator_name</span><span class="p">,</span> <span class="n">mass_string</span><span class="p">,</span> <span class="n">period_string</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span>
+<span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to calculate the P integral</span>
+
+<span class="sd"> We need to renormalize this because min_per > 0, and not all periods should be included</span>
+<span class="sd"> """</span>
+
+ <span class="k">global</span> <span class="n">Moecache</span>
+ <span class="n">min_ecc</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">max_ecc</span> <span class="o">=</span> <span class="mf">0.9999</span>
+
+ <span class="n">mass_period_string</span> <span class="o">=</span> <span class="s2">"</span><span class="si">{}</span><span class="s2">_</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="n">period_string</span><span class="p">])</span>
+
+ <span class="c1"># Check if the dict exists</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">integrals_string</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="n">integrals_string</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Check for cached value. If it doesn't exist: calculate</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="p">[</span><span class="n">integrals_string</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">mass_period_string</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">I</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">decc</span> <span class="o">=</span> <span class="mf">1e-3</span>
+
+ <span class="k">for</span> <span class="n">ecc</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">min_ecc</span><span class="p">,</span> <span class="n">max_ecc</span><span class="p">,</span> <span class="n">decc</span><span class="p">):</span>
+ <span class="c1"># Loop over all the values in the table, between the min and max P</span>
+ <span class="n">dp_decc</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="n">interpolator_name</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">period_string</span><span class="p">]),</span> <span class="n">ecc</span><span class="p">]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="n">I</span> <span class="o">+=</span> <span class="n">dp_decc</span> <span class="o">*</span> <span class="n">decc</span>
+
+ <span class="c1"># Set the integral value in the dict</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="n">integrals_string</span><span class="p">][</span><span class="n">mass_period_string</span><span class="p">]</span> <span class="o">=</span> <span class="n">I</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: calc_ecc_integral: min_ecc: </span><span class="si">{}</span><span class="s2"> max ecc: </span><span class="si">{}</span><span class="s2"> integrals_string: </span><span class="si">{}</span><span class="s2"> interpolator_name: </span><span class="si">{}</span><span class="s2"> mass_string: </span><span class="si">{}</span><span class="s2"> period_string: </span><span class="si">{}</span><span class="s2"> mass: </span><span class="si">{}</span><span class="s2"> period: </span><span class="si">{}</span><span class="s2"> I: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">min_ecc</span><span class="p">,</span> <span class="n">max_ecc</span><span class="p">,</span> <span class="n">integrals_string</span><span class="p">,</span> <span class="n">interpolator_name</span><span class="p">,</span> <span class="n">mass_string</span><span class="p">,</span> <span class="n">period_string</span><span class="p">,</span> <span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="n">period_string</span><span class="p">],</span> <span class="n">I</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: calc_ecc_integral: Found cached value for min_ecc: </span><span class="si">{}</span><span class="s2"> max ecc: </span><span class="si">{}</span><span class="s2"> integrals_string: </span><span class="si">{}</span><span class="s2"> interpolator_name: </span><span class="si">{}</span><span class="s2"> mass_string: </span><span class="si">{}</span><span class="s2"> period_string: </span><span class="si">{}</span><span class="s2"> mass: </span><span class="si">{}</span><span class="s2"> period: </span><span class="si">{}</span><span class="s2"> I: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">min_ecc</span><span class="p">,</span> <span class="n">max_ecc</span><span class="p">,</span> <span class="n">integrals_string</span><span class="p">,</span> <span class="n">interpolator_name</span><span class="p">,</span> <span class="n">mass_string</span><span class="p">,</span> <span class="n">period_string</span><span class="p">,</span> <span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="n">period_string</span><span class="p">],</span> <span class="n">Moecache</span><span class="p">[</span><span class="n">integrals_string</span><span class="p">][</span><span class="n">mass_period_string</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="calc_P_integral"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.calc_P_integral">[docs]</a><span class="k">def</span> <span class="nf">calc_P_integral</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">,</span> <span class="n">min_P</span><span class="p">,</span> <span class="n">integrals_string</span><span class="p">,</span> <span class="n">interpolator_name</span><span class="p">,</span> <span class="n">mass_string</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span>
+<span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to calculate the P integral</span>
+
+<span class="sd"> We need to renormalize this because min_per > 0, and not all periods should be included</span>
+<span class="sd"> """</span>
+
+ <span class="k">global</span> <span class="n">Moecache</span>
+ <span class="n">max_logP</span> <span class="o">=</span> <span class="mi">10</span>
+
+ <span class="c1"># Check if the dict exists</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">integrals_string</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="n">integrals_string</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Check for cached value. If it doesn't exist: calculate</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="p">[</span><span class="n">integrals_string</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">],</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">I</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">dlogP</span> <span class="o">=</span> <span class="mf">1e-3</span>
+
+ <span class="k">for</span> <span class="n">logP</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">min_P</span><span class="p">),</span> <span class="n">max_logP</span><span class="p">,</span> <span class="n">dlogP</span><span class="p">):</span>
+ <span class="c1"># Loop over all the values in the table, between the min and max P</span>
+ <span class="n">dp_dlogP</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="n">interpolator_name</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">]),</span> <span class="n">logP</span><span class="p">]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="n">I</span> <span class="o">+=</span> <span class="n">dp_dlogP</span> <span class="o">*</span> <span class="n">dlogP</span>
+
+ <span class="c1"># Set the integral value in the dict</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="n">integrals_string</span><span class="p">][</span><span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">]]</span> <span class="o">=</span> <span class="n">I</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: calc_P_integral: min_P: </span><span class="si">{}</span><span class="s2"> integrals_string: </span><span class="si">{}</span><span class="s2"> interpolator_name: </span><span class="si">{}</span><span class="s2"> mass_string: </span><span class="si">{}</span><span class="s2"> mass: </span><span class="si">{}</span><span class="s2"> I: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">min_P</span><span class="p">,</span> <span class="n">integrals_string</span><span class="p">,</span> <span class="n">interpolator_name</span><span class="p">,</span> <span class="n">mass_string</span><span class="p">,</span> <span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">],</span> <span class="n">I</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: calc_P_integral: Found cached value for min_P: </span><span class="si">{}</span><span class="s2"> integrals_string: </span><span class="si">{}</span><span class="s2"> interpolator_name: </span><span class="si">{}</span><span class="s2"> mass_string: </span><span class="si">{}</span><span class="s2"> mass: </span><span class="si">{}</span><span class="s2"> I: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">min_P</span><span class="p">,</span> <span class="n">integrals_string</span><span class="p">,</span> <span class="n">interpolator_name</span><span class="p">,</span> <span class="n">mass_string</span><span class="p">,</span> <span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">],</span> <span class="n">Moecache</span><span class="p">[</span><span class="n">integrals_string</span><span class="p">][</span><span class="n">options</span><span class="p">[</span><span class="n">mass_string</span><span class="p">]]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span></div>
+
+<div class="viewcode-block" id="calc_total_probdens"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.calc_total_probdens">[docs]</a><span class="k">def</span> <span class="nf">calc_total_probdens</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to calculate the total probability density</span>
+<span class="sd"> """</span>
+
+ <span class="n">total_probdens</span> <span class="o">=</span> <span class="mi">1</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">prob_dict</span><span class="p">:</span>
+ <span class="n">total_probdens</span> <span class="o">*=</span> <span class="n">prob_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'total_probdens'</span><span class="p">]</span> <span class="o">=</span> <span class="n">total_probdens</span>
+
+ <span class="k">return</span> <span class="n">prob_dict</span></div>
+
+<div class="viewcode-block" id="Moe_de_Stefano_2017_pdf"><a class="viewcode-back" href="../../../distribution_functions.html#binarycpython.utils.distribution_functions.Moe_de_Stefano_2017_pdf">[docs]</a><span class="k">def</span> <span class="nf">Moe_de_Stefano_2017_pdf</span><span class="p">(</span><span class="n">options</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Moe & distefano function to calculate the probability density.</span>
+
+<span class="sd"> takes a dictionary as input (in options) with options:</span>
+
+<span class="sd"> M1, M2, M3, M4 => masses (Msun) [M1 required, rest optional]</span>
+<span class="sd"> P, P2, P3 => periods (days) [number: none=binary, 2=triple, 3=quadruple]</span>
+<span class="sd"> ecc, ecc2, ecc3 => eccentricities [numbering as for P above]</span>
+
+<span class="sd"> mmin => minimum allowed stellar mass (default 0.07)</span>
+<span class="sd"> mmax => maximum allowed stellar mass (default 80.0)</span>
+<span class="sd"> """</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf with options:</span><span class="se">\n\t\t</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">options</span><span class="p">)</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">prob_dict</span> <span class="o">=</span> <span class="p">{}</span> <span class="c1"># Dictionary containing all the pdf values for the different parameters</span>
+
+ <span class="c1"># Get the multiplicity from the options, and if its not there, calculate it based on the</span>
+ <span class="c1"># TODO: the function below makes no sense. We NEED to pass the multiplicity in the</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"multiplicity"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Did not find a multiplicity value in the options dictionary"</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="n">msg</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+ <span class="c1"># multiplicity = 1</span>
+ <span class="c1"># for n in range(2, 5):</span>
+ <span class="c1"># multiplicity += 1 if options.get("M{}".format(n), None) else 0</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">multiplicity</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="s2">"multiplicity"</span><span class="p">]</span>
+
+ <span class="c1"># Immediately return 0 if the multiplicity modulator is 0</span>
+ <span class="k">if</span> <span class="n">options</span><span class="p">[</span><span class="s2">"multiplicity_modulator"</span><span class="p">][</span><span class="n">multiplicity</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: returning 0 because of the multiplicity modulator being 0"</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="mi">0</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># multiplicity fraction</span>
+ <span class="c1"># Calculate the probabilty, or rather, fraction, of stars that belong to this mass</span>
+
+ <span class="n">multiplicity_probability</span> <span class="o">=</span> <span class="n">Moe_de_Stefano_2017_multiplicity_fractions</span><span class="p">(</span><span class="n">options</span><span class="p">,</span> <span class="n">verbosity</span><span class="p">)[</span><span class="n">multiplicity</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'multiplicity'</span><span class="p">]</span> <span class="o">=</span> <span class="n">multiplicity_probability</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Appended multiplicity (mass1 = </span><span class="si">{}</span><span class="s2">) probability (</span><span class="si">{}</span><span class="s2">) to the prob dict (</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span> <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'multiplicity'</span><span class="p">],</span> <span class="n">prob_dict</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># always require an IMF for the primary star</span>
+ <span class="c1">#</span>
+ <span class="c1"># NB multiply by M1 to convert dN/dM to dN/dlnM</span>
+ <span class="c1"># (dlnM = dM/M, so 1/dlnM = M/dM)</span>
+
+ <span class="c1"># TODO: Create an n-part-powerlaw method that can have breakpoints and slopes. I'm using a three-part powerlaw now.</span>
+ <span class="c1"># TODO: is this actually the correct way? putting the M1 in there? Do we sample in logspace?</span>
+ <span class="n">M1_probability</span> <span class="o">=</span> <span class="n">Kroupa2001</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">])</span> <span class="o">*</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'M_1'</span><span class="p">]</span> <span class="o">=</span> <span class="n">M1_probability</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Appended Mass (m=</span><span class="si">{}</span><span class="s2">) probability (</span><span class="si">{}</span><span class="s2">) to the prob dict (</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span> <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'M_1'</span><span class="p">],</span> <span class="n">prob_dict</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if M1_probability == 0: # If the probability is 0 then we don't have to calculate more</span>
+ <span class="c1"># calc_total_probdens(prob_dict)</span>
+ <span class="c1"># return prob_dict</span>
+
+ <span class="sd">"""</span>
+<span class="sd"> From here we go through the multiplicities.</span>
+<span class="sd"> """</span>
+ <span class="k">if</span> <span class="n">multiplicity</span> <span class="o">>=</span> <span class="mi">2</span><span class="p">:</span>
+ <span class="c1"># If the multiplicity is higher than 1, we will need to construct the following tables:</span>
+ <span class="c1"># - period distribution table</span>
+ <span class="c1"># - q distribution table</span>
+ <span class="c1"># - eccentricity distribution table</span>
+
+ <span class="c1"># Set up the interpolator for the periods</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"rinterpolator_log10P"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_log10P"</span><span class="p">]</span> <span class="o">=</span> <span class="n">py_rinterpolate</span><span class="o">.</span><span class="n">Rinterpolate</span><span class="p">(</span>
+ <span class="n">table</span><span class="o">=</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"period_distributions"</span><span class="p">],</span> <span class="c1"># Contains the table of data</span>
+ <span class="n">nparams</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="c1"># log10M, log10P</span>
+ <span class="n">ndata</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="c1"># binary, triple</span>
+ <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span> <span class="o">-</span> <span class="p">(</span><span class="n">_MS_VERBOSITY_INTERPOLATOR_LEVEL</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Created new period interpolator: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_log10P"</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Make a table storing Moe's data for q distributions</span>
+ <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_2"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="ow">or</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_3"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="ow">or</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_4"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"rinterpolator_q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q"</span><span class="p">]</span> <span class="o">=</span> <span class="n">py_rinterpolate</span><span class="o">.</span><span class="n">Rinterpolate</span><span class="p">(</span>
+ <span class="n">table</span><span class="o">=</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"q_distributions"</span><span class="p">],</span> <span class="c1"># Contains the table of data</span>
+ <span class="n">nparams</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="c1"># log10M, log10P, q</span>
+ <span class="n">ndata</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="c1">#</span>
+ <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span> <span class="o">-</span> <span class="p">(</span><span class="n">_MS_VERBOSITY_INTERPOLATOR_LEVEL</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Created new q interpolator: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_q"</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Make a table storing Moe's data for q distributions, but only if the ecc is actually sampled</span>
+ <span class="k">if</span> <span class="s2">"ecc"</span> <span class="ow">in</span> <span class="n">options</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">options</span><span class="p">[</span><span class="s1">'ecc'</span><span class="p">]</span><span class="o">==</span><span class="kc">None</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"rinterpolator_e"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_e"</span><span class="p">]</span> <span class="o">=</span> <span class="n">py_rinterpolate</span><span class="o">.</span><span class="n">Rinterpolate</span><span class="p">(</span>
+ <span class="n">table</span><span class="o">=</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"ecc_distributions"</span><span class="p">],</span> <span class="c1"># Contains the table of data</span>
+ <span class="n">nparams</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="c1"># log10M, log10P, e</span>
+ <span class="n">ndata</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="c1">#</span>
+ <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span> <span class="o">-</span> <span class="p">(</span><span class="n">_MS_VERBOSITY_INTERPOLATOR_LEVEL</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Created new e interpolator: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_e"</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1">###############</span>
+ <span class="c1"># Calculation for period of the binary</span>
+
+ <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_2"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="c1"># Separation of the inner binary</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"sep"</span><span class="p">]</span> <span class="o">=</span> <span class="n">calc_sep_from_period</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_2"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="c1"># TODO: add check for min_P with instant RLOF?</span>
+ <span class="c1"># TODO: Actually use the value above.</span>
+ <span class="c1"># Total mass inner binary:</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">]</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]</span> <span class="o">+</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_2"</span><span class="p">]</span>
+
+ <span class="c1"># Calculate P integral or use cached value</span>
+ <span class="n">calc_P_integral</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">"P_integrals"</span><span class="p">,</span> <span class="s2">"rinterpolator_log10P"</span><span class="p">,</span> <span class="s2">"M_1"</span><span class="p">,</span> <span class="n">verbosity</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Set probabilty for P1</span>
+ <span class="n">p_val</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_log10P"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">])]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">p_val</span> <span class="o">=</span> <span class="n">p_val</span> <span class="o">/</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"P_integrals"</span><span class="p">][</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'P'</span><span class="p">]</span> <span class="o">=</span> <span class="n">p_val</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Appended period (m=</span><span class="si">{}</span><span class="s2">, P=</span><span class="si">{}</span><span class="s2">) probability (</span><span class="si">{}</span><span class="s2">) to the prob list (</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">],</span> <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'P'</span><span class="p">],</span> <span class="n">prob_dict</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if prob_dict['P'] == 0: # If the probability is 0 then we don't have to calculate more</span>
+ <span class="c1"># calc_total_probdens(prob_dict)</span>
+ <span class="c1"># return prob_dict</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># mass ratio (0 < q = M2/M1 < qmax)</span>
+ <span class="c1">#</span>
+ <span class="c1"># we need to construct the q table for the given M1</span>
+ <span class="c1"># subject to qmin = Mmin/M1</span>
+
+ <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_2"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="c1"># Build the table for q</span>
+ <span class="n">primary_mass</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]</span>
+ <span class="n">secondary_mass</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_2"</span><span class="p">]</span>
+ <span class="n">m_label</span> <span class="o">=</span> <span class="s2">"M_1"</span>
+ <span class="n">p_label</span> <span class="o">=</span> <span class="s2">"P"</span>
+
+ <span class="c1"># Construct the q table</span>
+ <span class="n">build_q_table</span><span class="p">(</span><span class="n">options</span><span class="p">,</span> <span class="n">m_label</span><span class="p">,</span> <span class="n">p_label</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span><span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Created q_table (</span><span class="si">{}</span><span class="s2">) for m=</span><span class="si">{}</span><span class="s2"> p=</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">Moecache</span><span class="p">[</span>
+ <span class="s2">"rinterpolator_q_given_</span><span class="si">{}</span><span class="s2">_log10</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">m_label</span><span class="p">,</span> <span class="n">p_label</span><span class="p">)</span>
+ <span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="n">m_label</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="n">p_label</span><span class="p">]),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add probability for the mass ratio</span>
+ <span class="n">q_prob</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span>
+ <span class="s2">"rinterpolator_q_given_</span><span class="si">{}</span><span class="s2">_log10</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">m_label</span><span class="p">,</span> <span class="n">p_label</span><span class="p">)</span>
+ <span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">([</span><span class="n">secondary_mass</span> <span class="o">/</span> <span class="n">primary_mass</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'q'</span><span class="p">]</span> <span class="o">=</span> <span class="n">q_prob</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: appended mass ratio (M=</span><span class="si">{}</span><span class="s2"> P=</span><span class="si">{}</span><span class="s2"> q=</span><span class="si">{}</span><span class="s2">) probability (</span><span class="si">{}</span><span class="s2">) to the prob list (</span><span class="si">{}</span><span class="s2">) "</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">],</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_2"</span><span class="p">]</span> <span class="o">/</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'q'</span><span class="p">],</span>
+ <span class="n">prob_dict</span><span class="p">,</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if prob_dict['q'] == 0: # If the probability is 0 then we don't have to calculate more</span>
+ <span class="c1"># calc_total_probdens(prob_dict)</span>
+ <span class="c1"># return prob_dict</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># Eccentricity</span>
+ <span class="c1"># TODO: ask rob if the eccentricity requires an extrapolation as well.</span>
+
+ <span class="c1"># Only do this if the eccentricity is sampled</span>
+ <span class="k">if</span> <span class="s2">"ecc"</span> <span class="ow">in</span> <span class="n">options</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">options</span><span class="p">[</span><span class="s1">'ecc'</span><span class="p">]</span><span class="o">==</span><span class="kc">None</span><span class="p">:</span>
+ <span class="c1"># Calculate ecc integral or use cached value</span>
+ <span class="n">calc_e_integral</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">,</span> <span class="s2">"ecc_integrals"</span><span class="p">,</span> <span class="s2">"rinterpolator_e"</span><span class="p">,</span> <span class="s2">"M_1"</span><span class="p">,</span> <span class="s2">"P"</span><span class="p">,</span> <span class="n">verbosity</span>
+ <span class="p">)</span>
+ <span class="n">mass_period_string</span> <span class="o">=</span> <span class="s2">"</span><span class="si">{}</span><span class="s2">_</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">])</span>
+
+ <span class="c1"># Set probabilty for ecc</span>
+ <span class="n">ecc_val</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_e"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">]),</span> <span class="n">options</span><span class="p">[</span><span class="s2">"ecc"</span><span class="p">]]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">ecc_val</span> <span class="o">=</span> <span class="n">ecc_val</span> <span class="o">/</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"ecc_integrals"</span><span class="p">][</span><span class="n">mass_period_string</span><span class="p">]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'ecc'</span><span class="p">]</span> <span class="o">=</span> <span class="n">ecc_val</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Appended eccentricity (m=</span><span class="si">{}</span><span class="s2">, P=</span><span class="si">{}</span><span class="s2">, ecc=</span><span class="si">{}</span><span class="s2">) probability (</span><span class="si">{}</span><span class="s2">) to the prob list (</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"ecc"</span><span class="p">],</span> <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'ecc'</span><span class="p">],</span> <span class="n">prob_dict</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if prob_dict['ecc'] == 0: # If the probability is 0 then we don't have to calculate more</span>
+ <span class="c1"># calc_total_probdens(prob_dict)</span>
+ <span class="c1"># return prob_dict</span>
+
+ <span class="c1"># Calculations for when multiplicity is bigger than 3</span>
+ <span class="c1"># BEWARE: binary_c does not evolve these systems actually and the code below should be revised for when binary_c actually evolves triples.</span>
+ <span class="c1"># For that reason, I would not advise to use things with multiplicity > 3</span>
+ <span class="k">if</span> <span class="n">multiplicity</span> <span class="o">>=</span> <span class="mi">3</span><span class="p">:</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># orbital period 2 =</span>
+ <span class="c1"># orbital period of star 3 (multiplicity==3) or</span>
+ <span class="c1"># the star3+star4 binary (multiplicity==4)</span>
+ <span class="c1">#</span>
+ <span class="c1"># we assume the same period distribution for star 3</span>
+ <span class="c1"># (or stars 3 and 4) but with a separation that is >10*a*(1+e)</span>
+ <span class="c1"># where 10*a*(1+e) is the maximum apastron separation of</span>
+ <span class="c1"># stars 1 and 2</span>
+
+ <span class="c1"># TODO: Is this a correct assumption?</span>
+ <span class="n">max_sep</span> <span class="o">=</span> <span class="mf">10.0</span> <span class="o">*</span> <span class="n">options</span><span class="p">[</span><span class="s2">"sep"</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">options</span><span class="p">[</span><span class="s2">"ecc"</span><span class="p">])</span>
+ <span class="n">min_P2</span> <span class="o">=</span> <span class="n">calc_period_from_sep</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"mmin"</span><span class="p">],</span> <span class="n">max_sep</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">options</span><span class="p">[</span><span class="s2">"P2"</span><span class="p">]</span> <span class="o"><</span> <span class="n">min_P2</span><span class="p">:</span>
+ <span class="c1"># period is too short : system is not hierarchical</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'P2'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: period2 is too short: </span><span class="si">{}</span><span class="s2"> < </span><span class="si">{}</span><span class="s2">, system is not hierarchichal. Added 0 to probability list"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"P1"</span><span class="p">],</span> <span class="n">min_P2</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if prob_dict['P2'] == 0: # If the probability is 0 then we don't have to calculate more</span>
+ <span class="c1"># calc_total_probdens(prob_dict)</span>
+ <span class="c1"># return prob_dict</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># period is long enough that the system is hierarchical</span>
+ <span class="c1"># hence the separation between the outer star</span>
+ <span class="c1"># and inner binary</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"sep2"</span><span class="p">]</span> <span class="o">=</span> <span class="n">calc_sep_from_period</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_3"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"P2"</span><span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Check for cached value of P integral or calculate</span>
+ <span class="n">calc_P_integral</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">,</span>
+ <span class="n">min_P2</span><span class="p">,</span>
+ <span class="s2">"P2_integrals"</span><span class="p">,</span>
+ <span class="s2">"rinterpolator_log10P"</span><span class="p">,</span>
+ <span class="s2">"M_1+M_2"</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add the probability</span>
+ <span class="n">p_val</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_log10P"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P2"</span><span class="p">])]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">p_val</span> <span class="o">=</span> <span class="n">p_val</span> <span class="o">/</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"P2_integrals"</span><span class="p">][</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">]]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'P2'</span><span class="p">]</span> <span class="o">=</span> <span class="n">p_val</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Appended period2 (m1=</span><span class="si">{}</span><span class="s2"> m2=</span><span class="si">{}</span><span class="s2">, P2=</span><span class="si">{}</span><span class="s2">) probability (</span><span class="si">{}</span><span class="s2">) to the prob list (</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_2"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"P2"</span><span class="p">],</span> <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'P2'</span><span class="p">],</span> <span class="n">prob_dict</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if prob_dict['P2'] == 0: # If the probability is 0 then we don't have to calculate more</span>
+ <span class="c1"># calc_total_probdens(prob_dict)</span>
+ <span class="c1"># return prob_dict</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># mass ratio 2 = q2 = M3 / (M1+M2)</span>
+ <span class="c1">#</span>
+ <span class="c1"># we need to construct the q table for the given M1</span>
+ <span class="c1"># subject to qmin = Mmin/(M1+M2)</span>
+
+ <span class="c1"># Set the variables for the masses and their names</span>
+ <span class="n">primary_mass</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">]</span>
+ <span class="n">secondary_mass</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_3"</span><span class="p">]</span>
+ <span class="n">m_label</span> <span class="o">=</span> <span class="s2">"M_1+M_2"</span>
+ <span class="n">p_label</span> <span class="o">=</span> <span class="s2">"P2"</span>
+
+ <span class="c1"># Build q table</span>
+ <span class="n">build_q_table</span><span class="p">(</span><span class="n">options</span><span class="p">,</span> <span class="n">m_label</span><span class="p">,</span> <span class="n">p_label</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span><span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Called build_q_table"</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add the probability</span>
+ <span class="n">q2_val</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span>
+ <span class="s2">"rinterpolator_q_given_</span><span class="si">{}</span><span class="s2">_log10</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">m_label</span><span class="p">,</span> <span class="n">p_label</span><span class="p">)</span>
+ <span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">([</span><span class="n">secondary_mass</span> <span class="o">/</span> <span class="n">primary_mass</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'q2'</span><span class="p">]</span> <span class="o">=</span> <span class="n">q2_val</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: appended mass ratio (M_1+M_2=</span><span class="si">{}</span><span class="s2"> M_3=</span><span class="si">{}</span><span class="s2"> P=</span><span class="si">{}</span><span class="s2"> q=</span><span class="si">{}</span><span class="s2">) probability (</span><span class="si">{}</span><span class="s2">) to the prob list (</span><span class="si">{}</span><span class="s2">) "</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">],</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_3"</span><span class="p">],</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">],</span>
+ <span class="n">secondary_mass</span> <span class="o">/</span> <span class="n">primary_mass</span><span class="p">,</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'q2'</span><span class="p">],</span>
+ <span class="n">prob_dict</span><span class="p">,</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if prob_dict['q2'] == 0: # If the probability is 0 then we don't have to calculate more</span>
+ <span class="c1"># calc_total_probdens(prob_dict)</span>
+ <span class="c1"># return prob_dict</span>
+
+ <span class="c1"># TODO: Implement ecc2 calculation</span>
+ <span class="k">if</span> <span class="n">multiplicity</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+ <span class="c1"># quadruple system.</span>
+ <span class="c1"># TODO: Ask Rob about the strructure of the quadruple. Is this only double binary quadrupples?</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># orbital period 3</span>
+ <span class="c1">#</span>
+ <span class="c1"># we assume the same period distribution for star 4</span>
+ <span class="c1"># as for any other stars but Pmax must be such that</span>
+ <span class="c1"># sep3 < sep2 * 0.2</span>
+
+ <span class="c1"># TODO: fix this here</span>
+ <span class="n">max_sep3</span> <span class="o">=</span> <span class="mf">0.2</span> <span class="o">*</span> <span class="n">options</span><span class="p">[</span><span class="s2">"sep2"</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">options</span><span class="p">[</span><span class="s2">"ecc2"</span><span class="p">])</span>
+ <span class="n">max_per3</span> <span class="o">=</span> <span class="n">calc_period_from_sep</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"mmin"</span><span class="p">],</span> <span class="n">max_sep3</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Calculate P integral or use the cached value</span>
+ <span class="c1"># TODO: Make sure we use the correct period idea here.</span>
+ <span class="n">calc_P_integral</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">,</span>
+ <span class="n">min_P2</span><span class="p">,</span>
+ <span class="s2">"P2_integrals"</span><span class="p">,</span>
+ <span class="s2">"rinterpolator_log10P"</span><span class="p">,</span>
+ <span class="s2">"M_1+M_2"</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Set probability</span>
+ <span class="n">p_val</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"rinterpolator_log10P"</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P2"</span><span class="p">])]</span>
+ <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">p_val</span> <span class="o">=</span> <span class="n">p_val</span> <span class="o">/</span> <span class="n">Moecache</span><span class="p">[</span><span class="s2">"P2_integrals"</span><span class="p">][</span><span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">]]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'P3'</span><span class="p">]</span> <span class="o">=</span> <span class="n">p_val</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Appended period2 (M=4) (M_1=</span><span class="si">{}</span><span class="s2"> M_2=</span><span class="si">{}</span><span class="s2">, P2=</span><span class="si">{}</span><span class="s2">) probability (</span><span class="si">{}</span><span class="s2">) to the prob list (</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_2"</span><span class="p">],</span> <span class="n">options</span><span class="p">[</span><span class="s2">"P2"</span><span class="p">],</span> <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'P3'</span><span class="p">],</span> <span class="n">prob_dict</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if prob_dict['P3'] == 0: # If the probability is 0 then we don't have to calculate more</span>
+ <span class="c1"># calc_total_probdens(prob_dict)</span>
+ <span class="c1"># return prob_dict</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># mass ratio 2</span>
+ <span class="c1">#</span>
+ <span class="c1"># we need to construct the q table for the given M1</span>
+ <span class="c1"># subject to qmin = Mmin/(M1+M2)</span>
+ <span class="c1"># Make a table storing Moe's data for q distributions</span>
+
+ <span class="c1"># Build the table for q2</span>
+ <span class="n">primary_mass</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">]</span>
+ <span class="n">secondary_mass</span> <span class="o">=</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_3"</span><span class="p">]</span>
+ <span class="n">m_label</span> <span class="o">=</span> <span class="s2">"M_1+M_2"</span>
+ <span class="n">p_label</span> <span class="o">=</span> <span class="s2">"P2"</span>
+
+ <span class="c1"># Calculate new q table</span>
+ <span class="n">build_q_table</span><span class="p">(</span><span class="n">options</span><span class="p">,</span> <span class="n">m_label</span><span class="p">,</span> <span class="n">p_label</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="n">verbosity</span><span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Created q_table "</span><span class="o">.</span><span class="n">format</span><span class="p">(),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add the probability</span>
+ <span class="n">q3_prob</span> <span class="o">=</span> <span class="n">Moecache</span><span class="p">[</span>
+ <span class="s2">"rinterpolator_q_given_</span><span class="si">{}</span><span class="s2">_log10</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">m_label</span><span class="p">,</span> <span class="n">p_label</span><span class="p">)</span>
+ <span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">([</span><span class="n">secondary_mass</span> <span class="o">/</span> <span class="n">primary_mass</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'q3'</span><span class="p">]</span> <span class="o">=</span> <span class="n">q3_prob</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: appended mass ratio (M_1+M_2=</span><span class="si">{}</span><span class="s2"> M_3=</span><span class="si">{}</span><span class="s2"> P=</span><span class="si">{}</span><span class="s2"> q=</span><span class="si">{}</span><span class="s2">) probability (</span><span class="si">{}</span><span class="s2">) to the prob list (</span><span class="si">{}</span><span class="s2">) "</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1+M_2"</span><span class="p">],</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_3"</span><span class="p">],</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">],</span>
+ <span class="n">secondary_mass</span> <span class="o">/</span> <span class="n">primary_mass</span><span class="p">,</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'q3'</span><span class="p">],</span>
+ <span class="n">prob_dict</span><span class="p">,</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if prob_dict['q3'] == 0: # If the probability is 0 then we don't have to calculate more</span>
+ <span class="c1"># calc_total_probdens(prob_dict)</span>
+ <span class="c1"># return prob_dict</span>
+
+ <span class="c1"># TODO ecc 3</span>
+
+ <span class="c1"># check for input of multiplicity</span>
+ <span class="k">elif</span> <span class="n">multiplicity</span> <span class="ow">not</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">5</span><span class="p">):</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: Unknown multiplicity </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">multiplicity</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="n">msg</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># Calculate total probdens:</span>
+ <span class="n">prob_dict</span> <span class="o">=</span> <span class="n">calc_total_probdens</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">)</span>
+
+ <span class="c1"># Some info</span>
+ <span class="k">if</span> <span class="n">multiplicity</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: M_1=</span><span class="si">{}</span><span class="s2"> q=N/A log10P=N/A (</span><span class="si">{}</span><span class="s2">): </span><span class="si">{}</span><span class="s2"> -> </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span>
+ <span class="nb">len</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">),</span>
+ <span class="nb">str</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">),</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'total_probdens'</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">elif</span> <span class="n">multiplicity</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: M_1=</span><span class="si">{}</span><span class="s2"> q=</span><span class="si">{}</span><span class="s2"> log10P=</span><span class="si">{}</span><span class="s2"> ecc=</span><span class="si">{}</span><span class="s2"> (</span><span class="si">{}</span><span class="s2">): </span><span class="si">{}</span><span class="s2"> -> </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_2"</span><span class="p">]</span> <span class="o">/</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]</span> <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_2"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">else</span> <span class="s2">"N/A"</span><span class="p">,</span>
+ <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">]),</span>
+ <span class="n">options</span><span class="p">[</span><span class="s1">'ecc'</span><span class="p">]</span> <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ecc"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">else</span> <span class="s2">"N/A"</span><span class="p">,</span>
+ <span class="nb">len</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">),</span>
+ <span class="nb">str</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">),</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'total_probdens'</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">elif</span> <span class="n">multiplicity</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">M&S: Moe_de_Stefano_2017_pdf: M_1=</span><span class="si">{}</span><span class="s2"> q=</span><span class="si">{}</span><span class="s2"> log10P=</span><span class="si">{}</span><span class="s2"> ecc=</span><span class="si">{}</span><span class="s2"> M_3=</span><span class="si">{}</span><span class="s2"> log10P2=</span><span class="si">{}</span><span class="s2"> ecc2=</span><span class="si">{}</span><span class="s2"> (</span><span class="si">{}</span><span class="s2">): </span><span class="si">{}</span><span class="s2"> -> </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_2"</span><span class="p">]</span> <span class="o">/</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]</span> <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_2"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">else</span> <span class="s2">"N/A"</span><span class="p">,</span>
+ <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">]),</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"ecc"</span><span class="p">]</span> <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ecc"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">else</span> <span class="s2">"N/A"</span><span class="p">,</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_3"</span><span class="p">],</span>
+ <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P2"</span><span class="p">]),</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"ecc2"</span><span class="p">]</span> <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ecc2"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">else</span> <span class="s2">"N/A"</span><span class="p">,</span>
+ <span class="nb">len</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">),</span>
+ <span class="nb">str</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">),</span>
+ <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'total_probdens'</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">elif</span> <span class="n">multiplicity</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"M&S: Moe_de_Stefano_2017_pdf: M_1=</span><span class="si">{}</span><span class="s2"> q=</span><span class="si">{}</span><span class="s2"> log10P=</span><span class="si">{}</span><span class="s2"> ecc=</span><span class="si">{}</span><span class="s2"> M_3=</span><span class="si">{}</span><span class="s2"> log10P2=</span><span class="si">{}</span><span class="s2"> ecc2=</span><span class="si">{}</span><span class="s2"> M_4=</span><span class="si">{}</span><span class="s2"> log10P3=</span><span class="si">{}</span><span class="s2"> ecc3=</span><span class="si">{}</span><span class="s2"> (</span><span class="si">{}</span><span class="s2">) : </span><span class="si">{}</span><span class="s2"> -> </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">],</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_2"</span><span class="p">]</span> <span class="o">/</span> <span class="n">options</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]</span> <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_2"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">else</span> <span class="s2">"N/A"</span><span class="p">,</span>
+ <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P"</span><span class="p">]),</span>
+ <span class="n">options</span><span class="p">[</span><span class="s1">'ecc'</span><span class="p">]</span> <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ecc"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">else</span> <span class="s2">"N/A"</span><span class="p">,</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_3"</span><span class="p">],</span>
+ <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P2"</span><span class="p">]),</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"ecc2"</span><span class="p">]</span> <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ecc2"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">else</span> <span class="s2">"N/A"</span><span class="p">,</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"M_4"</span><span class="p">],</span>
+ <span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"P3"</span><span class="p">]),</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"ecc3"</span><span class="p">]</span> <span class="k">if</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ecc3"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">else</span> <span class="s2">"N/A"</span><span class="p">,</span>
+ <span class="nb">len</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">),</span> <span class="nb">str</span><span class="p">(</span><span class="n">prob_dict</span><span class="p">),</span> <span class="n">prob_dict</span><span class="p">[</span><span class="s1">'total_probdens'</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="n">prob_dict</span></div>
+</pre></div>
+
+ </div>
+
+ </div>
+ <footer>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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diff --git a/docs/build/html/_modules/binarycpython/utils/functions.html b/docs/build/html/_modules/binarycpython/utils/functions.html
new file mode 100644
index 0000000000000000000000000000000000000000..f8df4ac734bc0b315caecf530c0fc987a10caca3
--- /dev/null
+++ b/docs/build/html/_modules/binarycpython/utils/functions.html
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+
+
+<!DOCTYPE html>
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+<head>
+ <meta charset="utf-8">
+
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+ <title>binarycpython.utils.functions — binary_c-python documentation</title>
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+ <h1>Source code for binarycpython.utils.functions</h1><div class="highlight"><pre>
+<span></span><span class="sd">"""</span>
+<span class="sd">Module containing most of the utility functions for the binarycpython package</span>
+
+<span class="sd">Functions here are mostly functions used in other classes/functions, or</span>
+<span class="sd">useful functions for the user</span>
+
+<span class="sd">Tasks:</span>
+<span class="sd"> - TODO: change all prints to verbose_prints</span>
+<span class="sd">"""</span>
+
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">tempfile</span>
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">inspect</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">subprocess</span>
+<span class="kn">import</span> <span class="nn">time</span>
+<span class="kn">import</span> <span class="nn">types</span>
+
+<span class="kn">from</span> <span class="nn">io</span> <span class="kn">import</span> <span class="n">StringIO</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span><span class="p">,</span> <span class="n">Any</span>
+<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">defaultdict</span><span class="p">,</span>
+ <span class="n">OrderedDict</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="kn">import</span> <span class="nn">h5py</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython</span> <span class="kn">import</span> <span class="n">_binary_c_bindings</span>
+<span class="kn">import</span> <span class="nn">binarycpython.utils.moe_distefano_data</span> <span class="k">as</span> <span class="nn">moe_distefano_data</span>
+
+<span class="kn">import</span> <span class="nn">py_rinterpolate</span>
+
+<span class="c1">########################################################</span>
+<span class="c1"># Unsorted</span>
+<span class="c1">########################################################</span>
+<div class="viewcode-block" id="convert_bytes"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.convert_bytes">[docs]</a><span class="k">def</span> <span class="nf">convert_bytes</span><span class="p">(</span><span class="n">size</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to return the size + a magnitude string</span>
+<span class="sd"> """</span>
+
+ <span class="k">for</span> <span class="n">name</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">'bytes'</span><span class="p">,</span> <span class="s1">'KB'</span><span class="p">,</span> <span class="s1">'MB'</span><span class="p">,</span> <span class="s1">'GB'</span><span class="p">,</span> <span class="s1">'TB'</span><span class="p">]:</span>
+ <span class="k">if</span> <span class="n">size</span> <span class="o"><</span> <span class="mf">1024.0</span><span class="p">:</span>
+ <span class="k">return</span> <span class="s2">"</span><span class="si">%3.1f</span><span class="s2"> </span><span class="si">%s</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">name</span><span class="p">)</span>
+ <span class="n">size</span> <span class="o">/=</span> <span class="mf">1024.0</span>
+
+ <span class="k">return</span> <span class="n">size</span></div>
+
+<div class="viewcode-block" id="get_size"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.get_size">[docs]</a><span class="k">def</span> <span class="nf">get_size</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">seen</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Recursively finds size of objects</span>
+
+<span class="sd"> From https://github.com/bosswissam/pysize</span>
+<span class="sd"> """</span>
+
+ <span class="n">size</span> <span class="o">=</span> <span class="n">sys</span><span class="o">.</span><span class="n">getsizeof</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">seen</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="n">seen</span> <span class="o">=</span> <span class="nb">set</span><span class="p">()</span>
+ <span class="n">obj_id</span> <span class="o">=</span> <span class="nb">id</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">obj_id</span> <span class="ow">in</span> <span class="n">seen</span><span class="p">:</span>
+ <span class="k">return</span> <span class="mi">0</span>
+ <span class="c1"># Important mark as seen *before* entering recursion to gracefully handle</span>
+ <span class="c1"># self-referential objects</span>
+ <span class="n">seen</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">obj_id</span><span class="p">)</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+ <span class="n">size</span> <span class="o">+=</span> <span class="nb">sum</span><span class="p">([</span><span class="n">get_size</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="n">seen</span><span class="p">)</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">obj</span><span class="o">.</span><span class="n">values</span><span class="p">()])</span>
+ <span class="n">size</span> <span class="o">+=</span> <span class="nb">sum</span><span class="p">([</span><span class="n">get_size</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">seen</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">obj</span><span class="o">.</span><span class="n">keys</span><span class="p">()])</span>
+ <span class="k">elif</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="s1">'__dict__'</span><span class="p">):</span>
+ <span class="n">size</span> <span class="o">+=</span> <span class="n">get_size</span><span class="p">(</span><span class="n">obj</span><span class="o">.</span><span class="vm">__dict__</span><span class="p">,</span> <span class="n">seen</span><span class="p">)</span>
+ <span class="k">elif</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="s1">'__iter__'</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="p">(</span><span class="nb">str</span><span class="p">,</span> <span class="nb">bytes</span><span class="p">,</span> <span class="nb">bytearray</span><span class="p">)):</span>
+ <span class="n">size</span> <span class="o">+=</span> <span class="nb">sum</span><span class="p">([</span><span class="n">get_size</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">seen</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">obj</span><span class="p">])</span>
+ <span class="k">return</span> <span class="n">size</span></div>
+
+<div class="viewcode-block" id="subtract_dicts"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.subtract_dicts">[docs]</a><span class="k">def</span> <span class="nf">subtract_dicts</span><span class="p">(</span><span class="n">dict_1</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">dict_2</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to subtract two dictionaries.</span>
+
+<span class="sd"> Only allows values to be either a dict or a numerical type</span>
+
+<span class="sd"> For the overlapping keys (key name present in both dicts):</span>
+<span class="sd"> When the keys are of the same type:</span>
+<span class="sd"> - If the types are of numerical type: subtract the value at dict 2 from dict 1.</span>
+<span class="sd"> - If the types are both dictionaries: call this function with the subdicts</span>
+
+<span class="sd"> WHen the keys are not of the same type:</span>
+<span class="sd"> - if the keys are all of numerical types</span>
+
+<span class="sd"> For the unique keys:</span>
+<span class="sd"> - if the key is from dict 1: adds the value to the new dict (be it numerical value or dict)</span>
+<span class="sd"> - If the key is from dict 2: Adds the negative of its value in case of numerical type.</span>
+<span class="sd"> if the type is a dict, the result of subtract_dicts({}, dict_2[key]) will be set</span>
+
+<span class="sd"> If the result is 0, the key will be removed from the resulting dict.</span>
+<span class="sd"> If that results in an empty dict, the dict will be removed too.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> dict_1: first dictionary</span>
+<span class="sd"> dict_2: second dictionary</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Subtracted dictionary</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Set up new dict</span>
+ <span class="n">new_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Define allowed numerical types</span>
+ <span class="n">ALLOWED_NUMERICAL_TYPES</span> <span class="o">=</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="n">keys_1</span> <span class="o">=</span> <span class="n">dict_1</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+ <span class="n">keys_2</span> <span class="o">=</span> <span class="n">dict_2</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+
+ <span class="c1"># Find overlapping keys of both dicts</span>
+ <span class="n">overlapping_keys</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">keys_1</span><span class="p">)</span><span class="o">.</span><span class="n">intersection</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">keys_2</span><span class="p">))</span>
+
+ <span class="c1"># Find the keys that are unique</span>
+ <span class="n">unique_to_dict_1</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">keys_1</span><span class="p">)</span><span class="o">.</span><span class="n">difference</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">keys_2</span><span class="p">))</span>
+ <span class="n">unique_to_dict_2</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">keys_2</span><span class="p">)</span><span class="o">.</span><span class="n">difference</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">keys_1</span><span class="p">))</span>
+
+ <span class="c1"># Add the unique keys to the new dict</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">unique_to_dict_1</span><span class="p">:</span>
+ <span class="c1"># If these items are numerical types</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">ALLOWED_NUMERICAL_TYPES</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="k">if</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="k">del</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># Else, to be safe we should deepcopy them</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">dict</span><span class="p">):</span>
+ <span class="n">copy_dict</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">copy_dict</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Error: using unsupported type for key </span><span class="si">{}</span><span class="s2">: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># Add the unique keys to the new dict</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">unique_to_dict_2</span><span class="p">:</span>
+ <span class="c1"># If these items are numerical type, we should add the negative of the value</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">ALLOWED_NUMERICAL_TYPES</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="k">if</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="k">del</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># Else we should place the negative of that dictionary in the new place</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">dict</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">subtract_dicts</span><span class="p">({},</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Error: using unsupported type for key </span><span class="si">{}</span><span class="s2">: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># Go over the common keys:</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">overlapping_keys</span><span class="p">:</span>
+
+ <span class="c1"># See whether the types are actually the same</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">is</span> <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]):</span>
+ <span class="c1"># Exceptions:</span>
+ <span class="k">if</span> <span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">in</span> <span class="n">ALLOWED_NUMERICAL_TYPES</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">in</span> <span class="n">ALLOWED_NUMERICAL_TYPES</span>
+ <span class="p">):</span>
+ <span class="c1"># We can safely subtract the values since they are all numeric</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">-</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="k">if</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="k">del</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Error key: </span><span class="si">{}</span><span class="s2"> value: </span><span class="si">{}</span><span class="s2"> type: </span><span class="si">{}</span><span class="s2"> and key: </span><span class="si">{}</span><span class="s2"> value: </span><span class="si">{}</span><span class="s2"> type: </span><span class="si">{}</span><span class="s2"> are not of the same type and cannot be merged"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span><span class="p">,</span>
+ <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="n">key</span><span class="p">,</span>
+ <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="p">)</span>
+
+ <span class="nb">print</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># This is where the keys are the same</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># If these items are numeric types</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">ALLOWED_NUMERICAL_TYPES</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">-</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># Remove entry if the value is 0</span>
+ <span class="k">if</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="k">del</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># Else, to be safe we should deepcopy them</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">dict</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">subtract_dicts</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+
+ <span class="c1"># Remove entry if it results in an empty dict</span>
+ <span class="c1"># TODO: write test to prevent empty dicts from showing up</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]:</span>
+ <span class="k">del</span> <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Error: using unsupported type for key </span><span class="si">{}</span><span class="s2">: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="k">return</span> <span class="n">new_dict</span></div>
+
+
+<div class="viewcode-block" id="get_moe_distefano_dataset"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.get_moe_distefano_dataset">[docs]</a><span class="k">def</span> <span class="nf">get_moe_distefano_dataset</span><span class="p">(</span><span class="n">options</span><span class="p">,</span> <span class="n">verbosity</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to get the default moe and Distefano dataset or accept a userinput.</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"file"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Using the default Moe and de Stefano 2017 datafile"</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">json_data</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">moe_distefano_data</span><span class="o">.</span><span class="n">moe_distefano_2017_data</span><span class="p">)</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"file"</span><span class="p">]):</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"The provided 'file' Moe and de Stefano JSON file does not seem to exist at </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">options</span><span class="p">[</span><span class="s2">"file"</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">options</span><span class="p">[</span><span class="s2">"file"</span><span class="p">]</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">".json"</span><span class="p">):</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Provided filename is not a json file"</span><span class="p">,</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># Read input data and Clean up the data if there are whitespaces around the keys</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">options</span><span class="p">[</span><span class="s2">"file"</span><span class="p">],</span> <span class="s2">"r"</span><span class="p">)</span> <span class="k">as</span> <span class="n">data_filehandle</span><span class="p">:</span>
+ <span class="n">datafile_data</span> <span class="o">=</span> <span class="n">data_filehandle</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
+ <span class="n">datafile_data</span> <span class="o">=</span> <span class="n">datafile_data</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'" '</span><span class="p">,</span> <span class="s1">'"'</span><span class="p">)</span>
+ <span class="n">datafile_data</span> <span class="o">=</span> <span class="n">datafile_data</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">' "'</span><span class="p">,</span> <span class="s1">'"'</span><span class="p">)</span>
+ <span class="n">datafile_data</span> <span class="o">=</span> <span class="n">datafile_data</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">' "'</span><span class="p">,</span> <span class="s1">'"'</span><span class="p">)</span>
+ <span class="n">json_data</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">datafile_data</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">json_data</span></div>
+
+
+<div class="viewcode-block" id="imports"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.imports">[docs]</a><span class="k">def</span> <span class="nf">imports</span><span class="p">():</span>
+ <span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="nb">globals</span><span class="p">()</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">val</span><span class="p">,</span> <span class="n">types</span><span class="o">.</span><span class="n">ModuleType</span><span class="p">):</span>
+ <span class="k">yield</span> <span class="n">val</span><span class="o">.</span><span class="vm">__name__</span></div>
+
+
+<div class="viewcode-block" id="catchtime"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.catchtime">[docs]</a><span class="k">class</span> <span class="nc">catchtime</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Context manager to calculate time spent</span>
+<span class="sd"> """</span>
+
+<div class="viewcode-block" id="catchtime.__enter__"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.catchtime.__enter__">[docs]</a> <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""On entry we start the clock"""</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">t</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">clock</span><span class="p">()</span>
+ <span class="k">return</span> <span class="bp">self</span></div>
+
+<div class="viewcode-block" id="catchtime.__exit__"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.catchtime.__exit__">[docs]</a> <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">type</span><span class="p">,</span> <span class="n">value</span><span class="p">,</span> <span class="n">traceback</span><span class="p">):</span>
+ <span class="sd">"""On exit we stop the clock and measure the time spent"""</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">t</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">clock</span><span class="p">()</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">t</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Took </span><span class="si">{}</span><span class="s2">s"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t</span><span class="p">))</span></div></div>
+
+
+<div class="viewcode-block" id="is_capsule"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.is_capsule">[docs]</a><span class="k">def</span> <span class="nf">is_capsule</span><span class="p">(</span><span class="n">o</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to tell whether object is a capsule</span>
+<span class="sd"> """</span>
+
+ <span class="n">t</span> <span class="o">=</span> <span class="nb">type</span><span class="p">(</span><span class="n">o</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">t</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">==</span> <span class="s2">"builtins"</span> <span class="ow">and</span> <span class="n">t</span><span class="o">.</span><span class="vm">__name__</span> <span class="o">==</span> <span class="s2">"PyCapsule"</span></div>
+
+
+<div class="viewcode-block" id="Capturing"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.Capturing">[docs]</a><span class="k">class</span> <span class="nc">Capturing</span><span class="p">(</span><span class="nb">list</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Context manager to capture output and store it</span>
+<span class="sd"> """</span>
+
+<div class="viewcode-block" id="Capturing.__enter__"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.Capturing.__enter__">[docs]</a> <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""On entry we capture the stdout output"""</span>
+
+ <span class="bp">self</span><span class="o">.</span><span class="n">_stdout</span> <span class="o">=</span> <span class="n">sys</span><span class="o">.</span><span class="n">stdout</span>
+ <span class="n">sys</span><span class="o">.</span><span class="n">stdout</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stringio</span> <span class="o">=</span> <span class="n">StringIO</span><span class="p">()</span>
+ <span class="k">return</span> <span class="bp">self</span></div>
+
+<div class="viewcode-block" id="Capturing.__exit__"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.Capturing.__exit__">[docs]</a> <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">):</span>
+ <span class="sd">"""On exit we release the capture again"""</span>
+
+ <span class="bp">self</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_stringio</span><span class="o">.</span><span class="n">getvalue</span><span class="p">()</span><span class="o">.</span><span class="n">splitlines</span><span class="p">())</span>
+ <span class="k">del</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stringio</span> <span class="c1"># free up some memory</span>
+ <span class="n">sys</span><span class="o">.</span><span class="n">stdout</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stdout</span></div></div>
+
+<div class="viewcode-block" id="call_binary_c_config"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.call_binary_c_config">[docs]</a><span class="k">def</span> <span class="nf">call_binary_c_config</span><span class="p">(</span><span class="n">argument</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to interface with the binary_c config file</span>
+
+<span class="sd"> input:</span>
+<span class="sd"> - argument: argument for the binary_c config</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> - raw output of binary_c-config</span>
+<span class="sd"> """</span>
+
+ <span class="n">BINARY_C_DIR</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">"BINARY_C"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">BINARY_C_DIR</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Error: the BINARY_C environment variable is not set. Aborting"</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="n">BINARY_C_CONFIG</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">BINARY_C_DIR</span><span class="p">,</span> <span class="s2">"binary_c-config"</span><span class="p">)</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="n">BINARY_C_CONFIG</span><span class="p">):</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"binary_c-config file does not exist. Aborting"</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="n">output</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">subprocess</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="n">BINARY_C_CONFIG</span><span class="p">,</span> <span class="n">argument</span><span class="p">],</span> <span class="n">stdout</span><span class="o">=</span><span class="n">subprocess</span><span class="o">.</span><span class="n">PIPE</span><span class="p">,</span> <span class="n">check</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="o">.</span><span class="n">stdout</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">"utf-8"</span><span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">output</span></div>
+
+
+<span class="c1">########################################################</span>
+<span class="c1"># utility functions</span>
+<span class="c1">########################################################</span>
+
+
+<div class="viewcode-block" id="verbose_print"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.verbose_print">[docs]</a><span class="k">def</span> <span class="nf">verbose_print</span><span class="p">(</span><span class="n">message</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">verbosity</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">minimal_verbosity</span><span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that decides whether to print a message based on the current verbosity</span>
+<span class="sd"> and its minimum verbosity</span>
+
+<span class="sd"> if verbosity is equal or higher than the minimum, then we print</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> message: message to print</span>
+<span class="sd"> verbosity: current verbosity level</span>
+<span class="sd"> minimal_verbosity: threshold verbosity above which to print</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">verbosity</span> <span class="o">>=</span> <span class="n">minimal_verbosity</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">message</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="remove_file"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.remove_file">[docs]</a><span class="k">def</span> <span class="nf">remove_file</span><span class="p">(</span><span class="n">file</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">verbosity</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to remove files but with verbosity</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> file: full filepath to the file that will be removed.</span>
+<span class="sd"> verbosity: current verbosity level (Optional)</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> the path of a subdirectory called binary_c_python in the TMP of the filesystem</span>
+
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">file</span><span class="p">):</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="n">file</span><span class="p">):</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"This path (</span><span class="si">{}</span><span class="s2">) is a directory, not a file"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file</span><span class="p">),</span> <span class="n">verbosity</span><span class="p">,</span> <span class="mi">0</span>
+ <span class="p">)</span>
+
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span><span class="s2">"Removed </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file</span><span class="p">),</span> <span class="n">verbosity</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">file</span><span class="p">)</span>
+
+ <span class="k">except</span> <span class="ne">FileNotFoundError</span> <span class="k">as</span> <span class="n">inst</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Error while deleting file </span><span class="si">{}</span><span class="s2">: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">inst</span><span class="p">))</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"File/directory </span><span class="si">{}</span><span class="s2"> doesn't exist. Can't remove it."</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file</span><span class="p">),</span>
+ <span class="n">verbosity</span><span class="p">,</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="temp_dir"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.temp_dir">[docs]</a><span class="k">def</span> <span class="nf">temp_dir</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to create directory within the TMP directory of the filesystem</span>
+
+<span class="sd"> Makes use of os.makedirs exist_ok which requires python 3.2+</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> function arguments: str input where each next input will be a child of the previous full_path. e.g. temp_dir('tests', 'grid') will become '/tmp/binary_c_python/tests/grid'</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> the path of a subdirectory called binary_c_python in the TMP of the filesystem</span>
+<span class="sd"> """</span>
+
+ <span class="n">tmp_dir</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">gettempdir</span><span class="p">()</span>
+ <span class="n">path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">tmp_dir</span><span class="p">,</span> <span class="s2">"binary_c_python"</span><span class="p">)</span>
+
+ <span class="c1"># loop over the other paths if there are any:</span>
+ <span class="k">if</span> <span class="n">args</span><span class="p">:</span>
+ <span class="k">for</span> <span class="n">extra_dir</span> <span class="ow">in</span> <span class="n">args</span><span class="p">:</span>
+ <span class="n">path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">extra_dir</span><span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">path</span></div>
+
+
+<div class="viewcode-block" id="create_hdf5"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.create_hdf5">[docs]</a><span class="k">def</span> <span class="nf">create_hdf5</span><span class="p">(</span><span class="n">data_dir</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to create an hdf5 file from the contents of a directory:</span>
+<span class="sd"> - settings file is selected by checking on files ending on settings</span>
+<span class="sd"> - data files are selected by checking on files ending with .dat</span>
+
+<span class="sd"> TODO: fix missing settingsfiles</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> data_dir: directory containing the data files and settings file</span>
+<span class="sd"> name: name of hdf5file.</span>
+
+<span class="sd"> """</span>
+
+ <span class="c1"># Make HDF5:</span>
+ <span class="c1"># Create the file</span>
+ <span class="n">hdf5_filename</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_dir</span><span class="p">,</span> <span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="p">))</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Creating </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">hdf5_filename</span><span class="p">))</span>
+ <span class="n">hdf5_file</span> <span class="o">=</span> <span class="n">h5py</span><span class="o">.</span><span class="n">File</span><span class="p">(</span><span class="n">hdf5_filename</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span>
+
+ <span class="c1"># Get content of data_dir</span>
+ <span class="n">content_data_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="n">data_dir</span><span class="p">)</span>
+
+ <span class="c1"># Settings</span>
+ <span class="k">if</span> <span class="nb">any</span><span class="p">([</span><span class="n">file</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">"_settings.json"</span><span class="p">)</span> <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">content_data_dir</span><span class="p">]):</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Adding settings to HDF5 file"</span><span class="p">)</span>
+ <span class="n">settings_file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="n">data_dir</span><span class="p">,</span>
+ <span class="p">[</span><span class="n">file</span> <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">content_data_dir</span> <span class="k">if</span> <span class="n">file</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">"_settings.json"</span><span class="p">)][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="p">)</span>
+
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">settings_file</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">)</span> <span class="k">as</span> <span class="n">settings_file</span><span class="p">:</span>
+ <span class="n">settings_json</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">settings_file</span><span class="p">)</span>
+
+ <span class="c1"># Create settings group</span>
+ <span class="n">settings_grp</span> <span class="o">=</span> <span class="n">hdf5_file</span><span class="o">.</span><span class="n">create_group</span><span class="p">(</span><span class="s2">"settings"</span><span class="p">)</span>
+
+ <span class="c1"># Write version_string to settings_group</span>
+ <span class="n">settings_grp</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="s2">"used_settings"</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">settings_json</span><span class="p">))</span>
+
+ <span class="c1"># Get data files</span>
+ <span class="n">data_files</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">content_data_dir</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">".dat"</span><span class="p">)]</span>
+ <span class="k">if</span> <span class="n">data_files</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Adding data to HDF5 file"</span><span class="p">)</span>
+
+ <span class="c1"># Create the data group</span>
+ <span class="n">data_grp</span> <span class="o">=</span> <span class="n">hdf5_file</span><span class="o">.</span><span class="n">create_group</span><span class="p">(</span><span class="s2">"data"</span><span class="p">)</span>
+
+ <span class="c1"># Write the data to the file:</span>
+ <span class="c1"># Make sure:</span>
+ <span class="k">for</span> <span class="n">data_file</span> <span class="ow">in</span> <span class="n">data_files</span><span class="p">:</span>
+ <span class="c1"># filename stuff</span>
+ <span class="n">filename</span> <span class="o">=</span> <span class="n">data_file</span>
+ <span class="n">full_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_dir</span><span class="p">,</span> <span class="n">filename</span><span class="p">)</span>
+ <span class="n">base_name</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">splitext</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">filename</span><span class="p">))[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="c1"># Get header info</span>
+ <span class="n">header_name</span> <span class="o">=</span> <span class="s2">"</span><span class="si">{base_name}</span><span class="s2">_header"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">base_name</span><span class="o">=</span><span class="n">base_name</span><span class="p">)</span>
+ <span class="n">data_headers</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">genfromtxt</span><span class="p">(</span><span class="n">full_path</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">"str"</span><span class="p">,</span> <span class="n">max_rows</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+ <span class="n">data_headers</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">char</span><span class="o">.</span><span class="n">encode</span><span class="p">(</span><span class="n">data_headers</span><span class="p">)</span>
+ <span class="n">data_grp</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="n">header_name</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data_headers</span><span class="p">)</span>
+
+ <span class="c1"># Add data</span>
+ <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">loadtxt</span><span class="p">(</span><span class="n">full_path</span><span class="p">,</span> <span class="n">skiprows</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+ <span class="n">data_grp</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="n">base_name</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span>
+
+ <span class="n">hdf5_file</span><span class="o">.</span><span class="n">close</span><span class="p">()</span></div>
+
+
+<span class="c1">########################################################</span>
+<span class="c1"># version_info functions</span>
+<span class="c1">########################################################</span>
+
+
+<div class="viewcode-block" id="return_binary_c_version_info"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.return_binary_c_version_info">[docs]</a><span class="k">def</span> <span class="nf">return_binary_c_version_info</span><span class="p">(</span><span class="n">parsed</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that returns the version information of binary_c. This function calls the function</span>
+<span class="sd"> _binary_c_bindings.return_version_info()</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> parsed: Boolean flag whether to parse the version_info output of binary_c. default = False</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Either the raw string of binary_c or a parsed version of this in the form of a nested</span>
+<span class="sd"> dictionary</span>
+<span class="sd"> """</span>
+
+ <span class="n">found_prev</span> <span class="o">=</span> <span class="kc">False</span>
+ <span class="k">if</span> <span class="s2">"BINARY_C_MACRO_HEADER"</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">:</span>
+ <span class="c1"># the envvar is already present. lets save that and put that back later</span>
+ <span class="n">found_prev</span> <span class="o">=</span> <span class="kc">True</span>
+ <span class="n">prev_value</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"BINARY_C_MACRO_HEADER"</span><span class="p">]</span>
+
+ <span class="c1">#</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"BINARY_C_MACRO_HEADER"</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"macroxyz"</span>
+
+ <span class="c1"># Get version_info</span>
+ <span class="n">version_info</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">return_version_info</span><span class="p">()</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+
+ <span class="c1"># parse if wanted</span>
+ <span class="k">if</span> <span class="n">parsed</span><span class="p">:</span>
+ <span class="n">version_info</span> <span class="o">=</span> <span class="n">parse_binary_c_version_info</span><span class="p">(</span><span class="n">version_info</span><span class="p">)</span>
+
+ <span class="c1"># delete value</span>
+ <span class="k">del</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"BINARY_C_MACRO_HEADER"</span><span class="p">]</span>
+
+ <span class="c1"># put stuff back if we found a previous one</span>
+ <span class="k">if</span> <span class="n">found_prev</span><span class="p">:</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"BINARY_C_MACRO_HEADER"</span><span class="p">]</span> <span class="o">=</span> <span class="n">prev_value</span>
+
+ <span class="k">return</span> <span class="n">version_info</span></div>
+
+
+<div class="viewcode-block" id="parse_binary_c_version_info"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.parse_binary_c_version_info">[docs]</a><span class="k">def</span> <span class="nf">parse_binary_c_version_info</span><span class="p">(</span><span class="n">version_info_string</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that parses the binary_c version info. Long function with a lot of branches</span>
+
+<span class="sd"> TODO: fix this function. stuff is missing: isotopes, macros, nucleosynthesis_sources</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> version_info_string: raw output of version_info call to binary_c</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Parsed version of the version info, which is a dictionary containing the keys: 'isotopes' for isotope info, 'argpairs' for argument pair info (TODO: explain), 'ensembles' for ensemble settings/info, 'macros' for macros, 'elements' for atomic element info, 'DTlimit' for (TODO: explain), 'nucleosynthesis_sources' for nucleosynthesis sources, and 'miscellaneous' for all those that were not caught by the previous groups. 'git_branch', 'git_build', 'revision' and 'email' are also keys, but its clear what those contain.</span>
+<span class="sd"> """</span>
+
+ <span class="n">version_info_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Clean data and put in correct shape</span>
+ <span class="n">splitted</span> <span class="o">=</span> <span class="n">version_info_string</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">splitlines</span><span class="p">()</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="p">{</span><span class="n">el</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">splitted</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">el</span> <span class="o">==</span> <span class="s2">""</span><span class="p">}</span>
+
+ <span class="c1">##########################</span>
+ <span class="c1"># Network:</span>
+ <span class="c1"># Split off all the networks and parse the info.</span>
+
+ <span class="n">networks</span> <span class="o">=</span> <span class="p">{</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Network "</span><span class="p">)}</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="n">networks</span>
+
+ <span class="n">networks_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">networks</span><span class="p">:</span>
+ <span class="n">network_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="n">split_info</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"Network "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"=="</span><span class="p">)</span>
+
+ <span class="n">network_number</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+ <span class="n">network_dict</span><span class="p">[</span><span class="s2">"network_number"</span><span class="p">]</span> <span class="o">=</span> <span class="n">network_number</span>
+
+ <span class="n">network_info_split</span> <span class="o">=</span> <span class="n">split_info</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" is "</span><span class="p">)</span>
+
+ <span class="n">shortname</span> <span class="o">=</span> <span class="n">network_info_split</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="n">network_dict</span><span class="p">[</span><span class="s2">"shortname"</span><span class="p">]</span> <span class="o">=</span> <span class="n">shortname</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">network_info_split</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">":"</span><span class="p">):</span>
+ <span class="n">network_split_info_extra</span> <span class="o">=</span> <span class="n">network_info_split</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">":"</span><span class="p">)</span>
+
+ <span class="n">longname</span> <span class="o">=</span> <span class="n">network_split_info_extra</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="n">network_dict</span><span class="p">[</span><span class="s2">"longname"</span><span class="p">]</span> <span class="o">=</span> <span class="n">longname</span>
+
+ <span class="n">implementation</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">network_split_info_extra</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"implemented in"</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">if</span> <span class="n">implementation</span><span class="p">:</span>
+ <span class="n">network_dict</span><span class="p">[</span><span class="s2">"implemented_in"</span><span class="p">]</span> <span class="o">=</span> <span class="n">implementation</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">()</span>
+
+ <span class="n">networks_dict</span><span class="p">[</span><span class="n">network_number</span><span class="p">]</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">network_dict</span><span class="p">)</span>
+ <span class="n">version_info_dict</span><span class="p">[</span><span class="s2">"networks"</span><span class="p">]</span> <span class="o">=</span> <span class="n">networks_dict</span> <span class="k">if</span> <span class="n">networks_dict</span> <span class="k">else</span> <span class="kc">None</span>
+
+ <span class="c1">##########################</span>
+ <span class="c1"># Isotopes:</span>
+ <span class="c1"># Split off</span>
+ <span class="n">isotopes</span> <span class="o">=</span> <span class="p">{</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Isotope "</span><span class="p">)}</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="n">isotopes</span>
+
+ <span class="n">isotope_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">isotopes</span><span class="p">:</span>
+ <span class="n">split_info</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"Isotope "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" is "</span><span class="p">)</span>
+
+ <span class="n">isotope_info</span> <span class="o">=</span> <span class="n">split_info</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+ <span class="n">name</span> <span class="o">=</span> <span class="n">isotope_info</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" "</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+
+ <span class="c1"># Get details</span>
+ <span class="n">mass_g</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span>
+ <span class="n">isotope_info</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">","</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"("</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"="</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">][:</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="p">)</span>
+ <span class="n">mass_amu</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span>
+ <span class="n">isotope_info</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">","</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"("</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"="</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="p">)</span>
+ <span class="n">mass_mev</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span>
+ <span class="n">isotope_info</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">","</span><span class="p">)[</span><span class="o">-</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"="</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">")"</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="p">)</span>
+ <span class="n">A</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">isotope_info</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">","</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"="</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">")"</span><span class="p">,</span> <span class="s2">""</span><span class="p">))</span>
+ <span class="n">Z</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">isotope_info</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">","</span><span class="p">)[</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"="</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+
+ <span class="c1">#</span>
+ <span class="n">isotope_dict</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">])]</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"name"</span><span class="p">:</span> <span class="n">name</span><span class="p">,</span>
+ <span class="s2">"Z"</span><span class="p">:</span> <span class="n">Z</span><span class="p">,</span>
+ <span class="s2">"A"</span><span class="p">:</span> <span class="n">A</span><span class="p">,</span>
+ <span class="s2">"mass_mev"</span><span class="p">:</span> <span class="n">mass_mev</span><span class="p">,</span>
+ <span class="s2">"mass_g"</span><span class="p">:</span> <span class="n">mass_g</span><span class="p">,</span>
+ <span class="s2">"mass_amu"</span><span class="p">:</span> <span class="n">mass_amu</span><span class="p">,</span>
+ <span class="p">}</span>
+ <span class="n">version_info_dict</span><span class="p">[</span><span class="s2">"isotopes"</span><span class="p">]</span> <span class="o">=</span> <span class="n">isotope_dict</span> <span class="k">if</span> <span class="n">isotope_dict</span> <span class="k">else</span> <span class="kc">None</span>
+
+ <span class="c1">##########################</span>
+ <span class="c1"># Argpairs:</span>
+ <span class="c1"># Split off</span>
+ <span class="n">argpairs</span> <span class="o">=</span> <span class="nb">set</span><span class="p">([</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"ArgPair"</span><span class="p">)])</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="n">argpairs</span>
+
+ <span class="n">argpair_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">argpairs</span><span class="p">):</span>
+ <span class="n">split_info</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"ArgPair "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" "</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">argpair_dict</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">argpair_dict</span><span class="p">[</span><span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span> <span class="o">=</span> <span class="p">{</span><span class="n">split_info</span><span class="p">[</span><span class="mi">1</span><span class="p">]:</span> <span class="n">split_info</span><span class="p">[</span><span class="mi">2</span><span class="p">]}</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">argpair_dict</span><span class="p">[</span><span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">]][</span><span class="n">split_info</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="o">=</span> <span class="n">split_info</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
+
+ <span class="n">version_info_dict</span><span class="p">[</span><span class="s2">"argpairs"</span><span class="p">]</span> <span class="o">=</span> <span class="n">argpair_dict</span> <span class="k">if</span> <span class="n">argpair_dict</span> <span class="k">else</span> <span class="kc">None</span>
+
+ <span class="c1">##########################</span>
+ <span class="c1"># ensembles:</span>
+ <span class="c1"># Split off</span>
+ <span class="n">ensembles</span> <span class="o">=</span> <span class="p">{</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Ensemble"</span><span class="p">)}</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="n">ensembles</span>
+
+ <span class="n">ensemble_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">ensembles</span><span class="p">:</span>
+ <span class="n">split_info</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"Ensemble "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" is "</span><span class="p">)</span>
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">split_info</span><span class="p">)</span> <span class="o">></span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">ensemble_dict</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">])]</span> <span class="o">=</span> <span class="n">split_info</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+ <span class="n">version_info_dict</span><span class="p">[</span><span class="s2">"ensembles"</span><span class="p">]</span> <span class="o">=</span> <span class="n">ensemble_dict</span> <span class="k">if</span> <span class="n">ensemble_dict</span> <span class="k">else</span> <span class="kc">None</span>
+
+ <span class="c1">##########################</span>
+ <span class="c1"># macros:</span>
+ <span class="c1"># Split off</span>
+ <span class="n">macros</span> <span class="o">=</span> <span class="p">{</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"macroxyz"</span><span class="p">)}</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="n">macros</span>
+
+ <span class="n">param_type_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"STRING"</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+ <span class="s2">"FLOAT"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+ <span class="s2">"MACRO"</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+ <span class="s2">"INT"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+ <span class="s2">"LONG_INT"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+ <span class="s2">"UINT"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+ <span class="p">}</span>
+
+ <span class="n">macros_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">macros</span><span class="p">:</span>
+ <span class="n">split_info</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"macroxyz "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" : "</span><span class="p">)</span>
+ <span class="n">param_type</span> <span class="o">=</span> <span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="n">new_split</span> <span class="o">=</span> <span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">split_info</span><span class="p">[</span><span class="mi">1</span><span class="p">:])</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" is "</span><span class="p">)</span>
+ <span class="n">param_name</span> <span class="o">=</span> <span class="n">new_split</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">param_value</span> <span class="o">=</span> <span class="s2">" is "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">new_split</span><span class="p">[</span><span class="mi">1</span><span class="p">:])</span>
+
+ <span class="c1"># Sometimes the macros have extra information behind it. Needs an update in outputting by binary_c</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">macros_dict</span><span class="p">[</span><span class="n">param_name</span><span class="p">]</span> <span class="o">=</span> <span class="n">param_type_dict</span><span class="p">[</span><span class="n">param_type</span><span class="p">](</span><span class="n">param_value</span><span class="p">)</span>
+ <span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
+ <span class="n">macros_dict</span><span class="p">[</span><span class="n">param_name</span><span class="p">]</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">param_value</span><span class="p">)</span>
+ <span class="n">version_info_dict</span><span class="p">[</span><span class="s2">"macros"</span><span class="p">]</span> <span class="o">=</span> <span class="n">macros_dict</span> <span class="k">if</span> <span class="n">macros_dict</span> <span class="k">else</span> <span class="kc">None</span>
+
+ <span class="c1">##########################</span>
+ <span class="c1"># Elements:</span>
+ <span class="c1"># Split off:</span>
+ <span class="n">elements</span> <span class="o">=</span> <span class="p">{</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Element"</span><span class="p">)}</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="n">elements</span>
+
+ <span class="c1"># Fill dict:</span>
+ <span class="n">elements_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">elements</span><span class="p">:</span>
+ <span class="n">split_info</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"Element "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" : "</span><span class="p">)</span>
+ <span class="n">name_info</span> <span class="o">=</span> <span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" is "</span><span class="p">)</span>
+
+ <span class="c1"># get isotope info</span>
+ <span class="n">isotopes</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">split_info</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"0"</span><span class="p">:</span>
+ <span class="n">isotope_string</span> <span class="o">=</span> <span class="n">split_info</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" = "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+ <span class="n">isotopes</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="nb">int</span><span class="p">(</span><span class="n">split_isotope</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"="</span><span class="p">)[</span><span class="mi">0</span><span class="p">]):</span> <span class="n">split_isotope</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"="</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span>
+ <span class="k">for</span> <span class="n">split_isotope</span> <span class="ow">in</span> <span class="n">isotope_string</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" "</span><span class="p">)</span>
+ <span class="p">}</span>
+
+ <span class="n">elements_dict</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">name_info</span><span class="p">[</span><span class="mi">0</span><span class="p">])]</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"name"</span><span class="p">:</span> <span class="n">name_info</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+ <span class="s2">"atomic_number"</span><span class="p">:</span> <span class="nb">int</span><span class="p">(</span><span class="n">name_info</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span>
+ <span class="s2">"amt_isotopes"</span><span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="n">isotopes</span><span class="p">),</span>
+ <span class="s2">"isotopes"</span><span class="p">:</span> <span class="n">isotopes</span><span class="p">,</span>
+ <span class="p">}</span>
+ <span class="n">version_info_dict</span><span class="p">[</span><span class="s2">"elements"</span><span class="p">]</span> <span class="o">=</span> <span class="n">elements_dict</span> <span class="k">if</span> <span class="n">elements_dict</span> <span class="k">else</span> <span class="kc">None</span>
+
+ <span class="c1">##########################</span>
+ <span class="c1"># dt_limits:</span>
+ <span class="c1"># split off</span>
+ <span class="n">dt_limits</span> <span class="o">=</span> <span class="p">{</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"DTlimit"</span><span class="p">)}</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="n">dt_limits</span>
+
+ <span class="c1"># Fill dict</span>
+ <span class="n">dt_limits_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">dt_limits</span><span class="p">:</span>
+ <span class="n">split_info</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"DTlimit "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" : "</span><span class="p">)</span>
+ <span class="n">dt_limits_dict</span><span class="p">[</span><span class="n">split_info</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()]</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"index"</span><span class="p">:</span> <span class="nb">int</span><span class="p">(</span><span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span>
+ <span class="s2">"value"</span><span class="p">:</span> <span class="nb">float</span><span class="p">(</span><span class="n">split_info</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span>
+ <span class="p">}</span>
+
+ <span class="n">version_info_dict</span><span class="p">[</span><span class="s2">"dt_limits"</span><span class="p">]</span> <span class="o">=</span> <span class="n">dt_limits_dict</span> <span class="k">if</span> <span class="n">dt_limits_dict</span> <span class="k">else</span> <span class="kc">None</span>
+
+ <span class="c1">##########################</span>
+ <span class="c1"># Nucleosynthesis sources:</span>
+ <span class="c1"># Split off</span>
+ <span class="n">nucsyn_sources</span> <span class="o">=</span> <span class="p">{</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Nucleosynthesis"</span><span class="p">)}</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="n">nucsyn_sources</span>
+
+ <span class="c1"># Fill dict</span>
+ <span class="n">nucsyn_sources_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">nucsyn_sources</span><span class="p">:</span>
+ <span class="n">split_info</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"Nucleosynthesis source"</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" is "</span><span class="p">)</span>
+ <span class="n">nucsyn_sources_dict</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">split_info</span><span class="p">[</span><span class="mi">0</span><span class="p">])]</span> <span class="o">=</span> <span class="n">split_info</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+
+ <span class="n">version_info_dict</span><span class="p">[</span><span class="s2">"nucleosynthesis_sources"</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">nucsyn_sources_dict</span> <span class="k">if</span> <span class="n">nucsyn_sources_dict</span> <span class="k">else</span> <span class="kc">None</span>
+ <span class="p">)</span>
+
+ <span class="c1">##########################</span>
+ <span class="c1"># miscellaneous:</span>
+ <span class="c1"># All those that I didnt catch with the above filters. Could try to get some more out though.</span>
+ <span class="c1"># TODO: filter a bit more.</span>
+
+ <span class="n">misc_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Filter out git revision</span>
+ <span class="n">git_revision</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"git revision"</span><span class="p">)]</span>
+ <span class="n">misc_dict</span><span class="p">[</span><span class="s2">"git_revision"</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">git_revision</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"git revision "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'"'</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">git_revision</span><span class="p">)</span>
+
+ <span class="c1"># filter out git url</span>
+ <span class="n">git_url</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"git URL"</span><span class="p">)]</span>
+ <span class="n">misc_dict</span><span class="p">[</span><span class="s2">"git_url"</span><span class="p">]</span> <span class="o">=</span> <span class="n">git_url</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"git URL "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'"'</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">git_url</span><span class="p">)</span>
+
+ <span class="c1"># filter out version</span>
+ <span class="n">version</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Version"</span><span class="p">)]</span>
+ <span class="n">misc_dict</span><span class="p">[</span><span class="s2">"version"</span><span class="p">]</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">version</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"Version "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">version</span><span class="p">)</span>
+
+ <span class="n">git_branch</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"git branch"</span><span class="p">)]</span>
+ <span class="n">misc_dict</span><span class="p">[</span><span class="s2">"git_branch"</span><span class="p">]</span> <span class="o">=</span> <span class="n">git_branch</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"git branch "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'"'</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">git_branch</span><span class="p">)</span>
+
+ <span class="n">build</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Build"</span><span class="p">)]</span>
+ <span class="n">misc_dict</span><span class="p">[</span><span class="s2">"build"</span><span class="p">]</span> <span class="o">=</span> <span class="n">build</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"Build: "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'"'</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">build</span><span class="p">)</span>
+
+ <span class="n">email</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Email"</span><span class="p">)]</span>
+ <span class="n">misc_dict</span><span class="p">[</span><span class="s2">"email"</span><span class="p">]</span> <span class="o">=</span> <span class="n">email</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"Email "</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">","</span><span class="p">)</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">email</span><span class="p">)</span>
+
+ <span class="n">other_items</span> <span class="o">=</span> <span class="nb">set</span><span class="p">([</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">cleaned</span> <span class="k">if</span> <span class="s2">" is "</span> <span class="ow">in</span> <span class="n">el</span><span class="p">])</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="n">cleaned</span> <span class="o">-</span> <span class="n">other_items</span>
+
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">other_items</span><span class="p">:</span>
+ <span class="n">split</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" is "</span><span class="p">)</span>
+ <span class="n">key</span> <span class="o">=</span> <span class="n">split</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="n">val</span> <span class="o">=</span> <span class="s2">" is "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">split</span><span class="p">[</span><span class="mi">1</span><span class="p">:])</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="n">misc_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">val</span>
+
+ <span class="n">misc_dict</span><span class="p">[</span><span class="s2">"uncaught"</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">cleaned</span><span class="p">)</span>
+
+ <span class="n">version_info_dict</span><span class="p">[</span><span class="s2">"miscellaneous"</span><span class="p">]</span> <span class="o">=</span> <span class="n">misc_dict</span> <span class="k">if</span> <span class="n">misc_dict</span> <span class="k">else</span> <span class="kc">None</span>
+ <span class="k">return</span> <span class="n">version_info_dict</span></div>
+
+
+<span class="c1">########################################################</span>
+<span class="c1"># binary_c output functions</span>
+<span class="c1">########################################################</span>
+
+
+<div class="viewcode-block" id="output_lines"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.output_lines">[docs]</a><span class="k">def</span> <span class="nf">output_lines</span><span class="p">(</span><span class="n">output</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">list</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that outputs the lines that were recieved from the binary_c run, but now as an iterator.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> output: raw binary_c output</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Iterator over the lines of the binary_c output</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">output</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">output</span><span class="o">.</span><span class="n">splitlines</span><span class="p">()</span>
+ <span class="k">return</span> <span class="p">[]</span></div>
+
+
+<div class="viewcode-block" id="example_parse_output"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.example_parse_output">[docs]</a><span class="k">def</span> <span class="nf">example_parse_output</span><span class="p">(</span><span class="n">output</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">selected_header</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that parses output of binary_c. This version serves as an example and is quite</span>
+<span class="sd"> detailed. Custom functions can be easier:</span>
+
+<span class="sd"> This function works in two cases:</span>
+<span class="sd"> if the caught line contains output like 'example_header time=12.32 mass=0.94 ..'</span>
+<span class="sd"> or if the line contains output like 'example_header 12.32 0.94'</span>
+<span class="sd"> Please dont the two cases.</span>
+
+<span class="sd"> You can give a 'selected_header' to catch any line that starts with that.</span>
+<span class="sd"> Then the values will be put into a dictionary.</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: Think about exporting to numpy array or pandas instead of a defaultdict</span>
+<span class="sd"> - TODO: rethink whether this function is necessary at all</span>
+<span class="sd"> - TODO: check this function again</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> output: binary_c output string</span>
+<span class="sd"> selected_header: string header of the output (the start of the line that you want to </span>
+<span class="sd"> process)</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> dictionary containing parameters as keys and lists for the values</span>
+<span class="sd"> """</span>
+
+ <span class="n">value_dicts</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="c1"># split output on newlines</span>
+ <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">output</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">):</span>
+ <span class="c1"># Skip any blank lines</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">line</span> <span class="o">==</span> <span class="s2">""</span><span class="p">:</span>
+ <span class="n">split_line</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()</span>
+
+ <span class="c1"># Select parts</span>
+ <span class="n">header</span> <span class="o">=</span> <span class="n">split_line</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">values_list</span> <span class="o">=</span> <span class="n">split_line</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span>
+
+ <span class="c1"># print(values_list)</span>
+ <span class="c1"># Catch line starting with selected header</span>
+ <span class="k">if</span> <span class="n">header</span> <span class="o">==</span> <span class="n">selected_header</span><span class="p">:</span>
+ <span class="c1"># Check if the line contains '=' symbols:</span>
+ <span class="n">value_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="s2">"="</span> <span class="ow">in</span> <span class="n">value</span> <span class="k">for</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">values_list</span><span class="p">):</span>
+ <span class="k">for</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">values_list</span><span class="p">:</span>
+ <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="o">=</span> <span class="n">value</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"="</span><span class="p">)</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="n">key</span><span class="o">.</span><span class="n">strip</span><span class="p">()]</span> <span class="o">=</span> <span class="n">val</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="n">value_dicts</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">value_dict</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="s2">"="</span> <span class="ow">in</span> <span class="n">value</span> <span class="k">for</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">values_list</span><span class="p">):</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+ <span class="s2">"Caught line contains some = symbols but not </span><span class="se">\</span>
+<span class="s2"> all of them do. aborting run"</span>
+ <span class="p">)</span>
+
+ <span class="k">for</span> <span class="n">j</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">values_list</span><span class="p">):</span>
+ <span class="n">value_dict</span><span class="p">[</span><span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="n">val</span>
+ <span class="n">value_dicts</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">value_dict</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">value_dicts</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Sorry, didnt find any line matching your header </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">selected_header</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="kc">None</span>
+
+ <span class="n">keys</span> <span class="o">=</span> <span class="n">value_dicts</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+
+ <span class="c1"># Construct final dict.</span>
+ <span class="n">final_values_dict</span> <span class="o">=</span> <span class="n">defaultdict</span><span class="p">(</span><span class="nb">list</span><span class="p">)</span>
+ <span class="k">for</span> <span class="n">value_dict</span> <span class="ow">in</span> <span class="n">value_dicts</span><span class="p">:</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">:</span>
+ <span class="n">final_values_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">value_dict</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+
+ <span class="k">return</span> <span class="n">final_values_dict</span></div>
+
+
+<span class="c1">########################################################</span>
+<span class="c1"># Argument and default value functions</span>
+<span class="c1">########################################################</span>
+
+
+<div class="viewcode-block" id="get_defaults"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.get_defaults">[docs]</a><span class="k">def</span> <span class="nf">get_defaults</span><span class="p">(</span><span class="n">filter_values</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that calls the binaryc get args function and cast it into a dictionary.</span>
+
+<span class="sd"> All the values are strings</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> filter_values: whether to filter out NULL and Function defaults.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> dictionary containing the parameter name as key and the parameter default as value</span>
+<span class="sd"> """</span>
+
+ <span class="n">default_output</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">return_arglines</span><span class="p">()</span>
+ <span class="n">default_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="k">for</span> <span class="n">default</span> <span class="ow">in</span> <span class="n">default_output</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">):</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">default</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"__ARG_BEGIN"</span><span class="p">,</span> <span class="s2">"__ARG_END"</span><span class="p">,</span> <span class="s2">""</span><span class="p">]:</span>
+ <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="o">=</span> <span class="n">default</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" = "</span><span class="p">)</span>
+ <span class="n">default_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
+
+ <span class="k">if</span> <span class="n">filter_values</span><span class="p">:</span>
+ <span class="n">default_dict</span> <span class="o">=</span> <span class="n">filter_arg_dict</span><span class="p">(</span><span class="n">default_dict</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">default_dict</span></div>
+
+
+<div class="viewcode-block" id="get_arg_keys"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.get_arg_keys">[docs]</a><span class="k">def</span> <span class="nf">get_arg_keys</span><span class="p">()</span> <span class="o">-></span> <span class="nb">list</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that return the list of possible keys to give in the arg string.</span>
+<span class="sd"> This function calls get_defaults()</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> list of all the parameters that binary_c accepts (and has default values for, since</span>
+<span class="sd"> we call get_defaults())</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">get_defaults</span><span class="p">()</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span></div>
+
+
+<div class="viewcode-block" id="filter_arg_dict"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.filter_arg_dict">[docs]</a><span class="k">def</span> <span class="nf">filter_arg_dict</span><span class="p">(</span><span class="n">arg_dict</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to filter out keys that contain values included in ['NULL', 'Function', '']</span>
+
+<span class="sd"> This function is called by get_defaults()</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> arg_dict: dictionary containing the argument + default keypairs of binary_c</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> filtered dictionary (pairs with NULL and Function values are removed)</span>
+<span class="sd"> """</span>
+
+ <span class="n">old_dict</span> <span class="o">=</span> <span class="n">arg_dict</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+ <span class="n">new_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">old_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">old_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"NULL"</span><span class="p">,</span> <span class="s2">"Function"</span><span class="p">]:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">old_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">==</span> <span class="s2">""</span><span class="p">:</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">old_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="k">return</span> <span class="n">new_dict</span></div>
+
+
+<div class="viewcode-block" id="create_arg_string"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.create_arg_string">[docs]</a><span class="k">def</span> <span class="nf">create_arg_string</span><span class="p">(</span>
+ <span class="n">arg_dict</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">sort</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">filter_values</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that creates the arg string for binary_c. Takes a dictionary containing the arguments</span>
+<span class="sd"> and writes them to a string</span>
+<span class="sd"> This string is missing the 'binary_c ' at the start.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> arg_dict: dictionary</span>
+<span class="sd"> sort: (optional, default = False) Boolean whether to sort the order of the keys.</span>
+<span class="sd"> filter_values: (optional, default = False) filters the input dict on keys that have NULL or `function` as value.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> The string built up by combining all the key + value's.</span>
+<span class="sd"> """</span>
+
+ <span class="n">arg_string</span> <span class="o">=</span> <span class="s2">""</span>
+
+ <span class="c1"># Whether to filter the arguments</span>
+ <span class="k">if</span> <span class="n">filter_values</span><span class="p">:</span>
+ <span class="n">arg_dict</span> <span class="o">=</span> <span class="n">filter_arg_dict</span><span class="p">(</span><span class="n">arg_dict</span><span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="n">keys</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">arg_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span> <span class="k">if</span> <span class="n">sort</span> <span class="k">else</span> <span class="n">arg_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+
+ <span class="c1">#</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">:</span>
+ <span class="n">arg_string</span> <span class="o">+=</span> <span class="s2">"</span><span class="si">{key}</span><span class="s2"> </span><span class="si">{value}</span><span class="s2"> "</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">key</span><span class="o">=</span><span class="n">key</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">arg_dict</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+
+ <span class="n">arg_string</span> <span class="o">=</span> <span class="n">arg_string</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="k">return</span> <span class="n">arg_string</span></div>
+
+
+<span class="c1">########################################################</span>
+<span class="c1"># Help functions</span>
+<span class="c1">########################################################</span>
+
+
+<div class="viewcode-block" id="get_help"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.get_help">[docs]</a><span class="k">def</span> <span class="nf">get_help</span><span class="p">(</span>
+ <span class="n">param_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span> <span class="n">print_help</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">fail_silently</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="kc">None</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that returns the help info for a given parameter, by interfacing with binary_c</span>
+
+<span class="sd"> Will check whether it is a valid parameter.</span>
+
+<span class="sd"> Binary_c will output things in the following order;</span>
+<span class="sd"> - Did you mean?</span>
+<span class="sd"> - binary_c help for variable</span>
+<span class="sd"> - default</span>
+<span class="sd"> - available macros</span>
+
+<span class="sd"> This function reads out that structure and catches the different components of this output</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: consider not returning None, but return empty dict</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> param_name: name of the parameter that you want info from. Will get checked whether its a</span>
+<span class="sd"> valid parameter name</span>
+<span class="sd"> print_help: (optional, default = True) whether to print out the help information</span>
+<span class="sd"> fail_silently: (optional, default = False) Whether to print the errors raised if the</span>
+<span class="sd"> parameter isn't valid</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Dictionary containing the help info. This dictionary contains 'parameter_name',</span>
+<span class="sd"> 'parameter_value_input_type', 'description', optionally 'macros'</span>
+<span class="sd"> """</span>
+
+ <span class="n">available_arg_keys</span> <span class="o">=</span> <span class="n">get_arg_keys</span><span class="p">()</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">param_name</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Please set the param_name to any of the following:</span><span class="se">\n</span><span class="s2"> </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">sorted</span><span class="p">(</span><span class="n">available_arg_keys</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="kc">None</span>
+
+ <span class="k">if</span> <span class="n">param_name</span> <span class="ow">in</span> <span class="n">available_arg_keys</span><span class="p">:</span>
+ <span class="n">help_info</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">return_help</span><span class="p">(</span><span class="n">param_name</span><span class="p">)</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">help_info</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">el</span> <span class="o">==</span> <span class="s2">""</span><span class="p">]</span>
+
+ <span class="c1"># Get line numbers</span>
+ <span class="n">did_you_mean_nr</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="n">i</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">cleaned</span><span class="p">)</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Did you mean"</span><span class="p">)</span>
+ <span class="p">]</span>
+ <span class="n">parameter_line_nr</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="n">i</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">cleaned</span><span class="p">)</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"binary_c help"</span><span class="p">)</span>
+ <span class="p">]</span>
+ <span class="n">default_line_nr</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="n">i</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">cleaned</span><span class="p">)</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Default"</span><span class="p">)</span>
+ <span class="p">]</span>
+ <span class="n">macros_line_nr</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="n">i</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">cleaned</span><span class="p">)</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"Available"</span><span class="p">)</span>
+ <span class="p">]</span>
+
+ <span class="n">help_info_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Get alternatives</span>
+ <span class="k">if</span> <span class="n">did_you_mean_nr</span><span class="p">:</span>
+ <span class="n">alternatives</span> <span class="o">=</span> <span class="n">cleaned</span><span class="p">[</span><span class="n">did_you_mean_nr</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span> <span class="p">:</span> <span class="n">parameter_line_nr</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+ <span class="n">alternatives</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">alternatives</span><span class="p">]</span>
+ <span class="n">help_info_dict</span><span class="p">[</span><span class="s2">"alternatives"</span><span class="p">]</span> <span class="o">=</span> <span class="n">alternatives</span>
+
+ <span class="c1"># Information about the parameter</span>
+ <span class="n">parameter_line</span> <span class="o">=</span> <span class="n">cleaned</span><span class="p">[</span><span class="n">parameter_line_nr</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+ <span class="n">parameter_name</span> <span class="o">=</span> <span class="n">parameter_line</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">":"</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" "</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">parameter_value_input_type</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="s2">" "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">parameter_line</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">":"</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" "</span><span class="p">)[</span><span class="mi">1</span><span class="p">:])</span>
+ <span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"<"</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+ <span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">">"</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="n">help_info_dict</span><span class="p">[</span><span class="s2">"parameter_name"</span><span class="p">]</span> <span class="o">=</span> <span class="n">parameter_name</span>
+ <span class="n">help_info_dict</span><span class="p">[</span><span class="s2">"parameter_value_input_type"</span><span class="p">]</span> <span class="o">=</span> <span class="n">parameter_value_input_type</span>
+
+ <span class="n">description_line</span> <span class="o">=</span> <span class="s2">" "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="n">cleaned</span><span class="p">[</span><span class="n">parameter_line_nr</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span> <span class="p">:</span> <span class="n">default_line_nr</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+ <span class="p">)</span>
+ <span class="n">help_info_dict</span><span class="p">[</span><span class="s2">"description"</span><span class="p">]</span> <span class="o">=</span> <span class="n">description_line</span>
+
+ <span class="c1"># Default:</span>
+ <span class="n">default_line</span> <span class="o">=</span> <span class="n">cleaned</span><span class="p">[</span><span class="n">default_line_nr</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+ <span class="n">default_value</span> <span class="o">=</span> <span class="n">default_line</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">":"</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+
+ <span class="n">help_info_dict</span><span class="p">[</span><span class="s2">"default"</span><span class="p">]</span> <span class="o">=</span> <span class="n">default_value</span>
+
+ <span class="c1"># Get Macros:</span>
+ <span class="k">if</span> <span class="n">macros_line_nr</span><span class="p">:</span>
+ <span class="n">macros</span> <span class="o">=</span> <span class="n">cleaned</span><span class="p">[</span><span class="n">macros_line_nr</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span> <span class="p">:]</span>
+ <span class="n">help_info_dict</span><span class="p">[</span><span class="s2">"macros"</span><span class="p">]</span> <span class="o">=</span> <span class="n">macros</span>
+
+ <span class="k">if</span> <span class="n">print_help</span><span class="p">:</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">help_info_dict</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2">:</span><span class="se">\n\t</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="n">help_info_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]))</span>
+
+ <span class="k">return</span> <span class="n">help_info_dict</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">fail_silently</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="si">{}</span><span class="s2"> is not a valid parameter name. Please choose from the </span><span class="se">\</span>
+<span class="s2"> following parameters:</span><span class="se">\n\t</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">param_name</span><span class="p">,</span> <span class="nb">list</span><span class="p">(</span><span class="n">available_arg_keys</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="kc">None</span></div>
+
+
+<div class="viewcode-block" id="get_help_all"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.get_help_all">[docs]</a><span class="k">def</span> <span class="nf">get_help_all</span><span class="p">(</span><span class="n">print_help</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that reads out the output of the return_help_all api call to binary_c. This return_help_all binary_c returns all the information for the parameters, their descriptions and other properties. The output is categorized in sections.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> print_help: (optional, default = Tru) prints all the parameters and their descriptions.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> returns a dictionary containing dictionaries per section. These dictionaries contain the parameters and descriptions etc for all the parameters in that section</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Call function</span>
+ <span class="n">help_all</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">return_help_all</span><span class="p">()</span>
+
+ <span class="c1"># String manipulation</span>
+ <span class="n">split</span> <span class="o">=</span> <span class="n">help_all</span><span class="o">.</span><span class="n">split</span><span class="p">(</span>
+ <span class="s2">"############################################################</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">cleaned</span> <span class="o">=</span> <span class="p">[</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">split</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">el</span> <span class="o">==</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">]</span>
+
+ <span class="n">section_nums</span> <span class="o">=</span> <span class="p">[</span><span class="n">i</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">cleaned</span><span class="p">))</span> <span class="k">if</span> <span class="n">cleaned</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"#####"</span><span class="p">)]</span>
+
+ <span class="c1"># Create dicts</span>
+ <span class="n">help_all_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Select the section name and the contents of that section. Note, not all sections have content!</span>
+ <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">section_nums</span><span class="p">)):</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">i</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">section_nums</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">params</span> <span class="o">=</span> <span class="n">cleaned</span><span class="p">[</span><span class="n">section_nums</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span> <span class="p">:</span> <span class="n">section_nums</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]]</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">params</span> <span class="o">=</span> <span class="n">cleaned</span><span class="p">[</span><span class="n">section_nums</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span> <span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="n">cleaned</span><span class="p">)]</span>
+ <span class="n">section_name</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">cleaned</span><span class="p">[</span><span class="n">section_nums</span><span class="p">[</span><span class="n">i</span><span class="p">]]</span>
+ <span class="o">.</span><span class="n">lstrip</span><span class="p">(</span><span class="s2">"#####"</span><span class="p">)</span>
+ <span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"Section "</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+ <span class="o">.</span><span class="n">lower</span><span class="p">()</span>
+ <span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="n">params_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="k">if</span> <span class="n">params</span><span class="p">:</span>
+
+ <span class="c1"># Clean it, replace in-text newlines with a space and then split on newlines.</span>
+ <span class="n">split_params</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2"> "</span><span class="p">,</span> <span class="s2">" "</span><span class="p">)</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+
+ <span class="c1"># Process params and descriptions per section</span>
+ <span class="k">for</span> <span class="n">split_param</span> <span class="ow">in</span> <span class="n">split_params</span><span class="p">:</span>
+ <span class="n">split_param_info</span> <span class="o">=</span> <span class="n">split_param</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" : "</span><span class="p">)</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">len</span><span class="p">(</span><span class="n">split_param_info</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+ <span class="c1"># there are ocassions where the semicolon</span>
+ <span class="c1"># is used in the description text itself.</span>
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">split_param_info</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+ <span class="n">split_param_info</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="n">split_param_info</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+ <span class="s2">": "</span><span class="o">.</span><span class="n">join</span><span class="p">([</span><span class="n">split_param_info</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">split_param_info</span><span class="p">[</span><span class="mi">2</span><span class="p">]]),</span>
+ <span class="n">split_param_info</span><span class="p">[</span><span class="mi">3</span><span class="p">],</span>
+ <span class="p">]</span>
+
+ <span class="c1"># other occassions?</span>
+
+ <span class="c1"># Put the information in a dict</span>
+ <span class="n">param_name</span> <span class="o">=</span> <span class="n">split_param_info</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">param_description</span> <span class="o">=</span> <span class="n">split_param_info</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">split_param_info</span><span class="p">)</span> <span class="o">></span> <span class="mi">2</span><span class="p">:</span>
+ <span class="n">rest</span> <span class="o">=</span> <span class="n">split_param_info</span><span class="p">[</span><span class="mi">2</span><span class="p">:]</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">rest</span> <span class="o">=</span> <span class="kc">None</span>
+
+ <span class="n">params_dict</span><span class="p">[</span><span class="n">param_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"param_name"</span><span class="p">:</span> <span class="n">param_name</span><span class="p">,</span>
+ <span class="s2">"description"</span><span class="p">:</span> <span class="n">param_description</span><span class="p">,</span>
+ <span class="s2">"rest"</span><span class="p">:</span> <span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">rest</span><span class="p">)</span> <span class="k">if</span> <span class="n">rest</span> <span class="k">else</span> <span class="s2">""</span><span class="p">,</span>
+ <span class="p">}</span>
+
+ <span class="c1"># make section_dict</span>
+ <span class="n">section_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"section_name"</span><span class="p">:</span> <span class="n">section_name</span><span class="p">,</span>
+ <span class="s2">"parameters"</span><span class="p">:</span> <span class="n">params_dict</span><span class="o">.</span><span class="n">copy</span><span class="p">(),</span>
+ <span class="p">}</span>
+
+ <span class="c1"># Put in the total dict</span>
+ <span class="n">help_all_dict</span><span class="p">[</span><span class="n">section_name</span><span class="p">]</span> <span class="o">=</span> <span class="n">section_dict</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+ <span class="c1"># Print things</span>
+ <span class="k">if</span> <span class="n">print_help</span><span class="p">:</span>
+ <span class="k">for</span> <span class="n">section</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">help_all_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">()):</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"##################</span><span class="se">\n</span><span class="s2">###### Section </span><span class="si">{}</span><span class="se">\n</span><span class="s2">##################"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">section</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">section_dict</span> <span class="o">=</span> <span class="n">help_all_dict</span><span class="p">[</span><span class="n">section</span><span class="p">]</span>
+ <span class="k">for</span> <span class="n">param_name</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">section_dict</span><span class="p">[</span><span class="s2">"parameters"</span><span class="p">]</span><span class="o">.</span><span class="n">keys</span><span class="p">()):</span>
+ <span class="n">param</span> <span class="o">=</span> <span class="n">section_dict</span><span class="p">[</span><span class="s2">"parameters"</span><span class="p">][</span><span class="n">param_name</span><span class="p">]</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\n</span><span class="si">{}</span><span class="s2">:</span><span class="se">\n\t</span><span class="si">{}</span><span class="s2">: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">param</span><span class="p">[</span><span class="s2">"param_name"</span><span class="p">],</span> <span class="n">param</span><span class="p">[</span><span class="s2">"description"</span><span class="p">],</span> <span class="n">param</span><span class="p">[</span><span class="s2">"rest"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1"># # Loop over all the parameters an call the help() function on it.</span>
+ <span class="c1"># # Takes a long time but this is for testing</span>
+ <span class="c1"># for section in help_all_dict.keys():</span>
+ <span class="c1"># section_dict = help_all_dict[section]</span>
+ <span class="c1"># for param in section_dict['parameters'].keys():</span>
+ <span class="c1"># get_help(param)</span>
+
+ <span class="k">return</span> <span class="n">help_all_dict</span></div>
+
+
+<div class="viewcode-block" id="get_help_super"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.get_help_super">[docs]</a><span class="k">def</span> <span class="nf">get_help_super</span><span class="p">(</span><span class="n">print_help</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">fail_silently</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that first runs get_help_all, and then per argument also run</span>
+<span class="sd"> the help function to get as much information as possible.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> print_help: (optional, default = False) Whether to print the information</span>
+<span class="sd"> fail_silently: (optional, default = True) Whether to fail silently or to print the errors</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> dictionary containing all dictionaries per section, which then contain as much info as possible per parameter.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Get help_all information</span>
+ <span class="n">help_all_dict</span> <span class="o">=</span> <span class="n">get_help_all</span><span class="p">(</span><span class="n">print_help</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+ <span class="k">for</span> <span class="n">section_name</span> <span class="ow">in</span> <span class="n">help_all_dict</span><span class="p">:</span>
+ <span class="n">section</span> <span class="o">=</span> <span class="n">help_all_dict</span><span class="p">[</span><span class="n">section_name</span><span class="p">]</span>
+
+ <span class="c1"># print(section_name)</span>
+ <span class="c1"># for parameter_name in section["parameters"].keys():</span>
+ <span class="c1"># print("\t", parameter_name)</span>
+
+ <span class="n">help_all_super_dict</span> <span class="o">=</span> <span class="n">help_all_dict</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+ <span class="c1"># Loop over all sections and stuff</span>
+ <span class="k">for</span> <span class="n">section_name</span> <span class="ow">in</span> <span class="n">help_all_dict</span><span class="p">:</span>
+ <span class="c1"># Skipping the section i/o because that one shouldn't be available to python anyway</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">section_name</span> <span class="o">==</span> <span class="s2">"i/o"</span><span class="p">:</span>
+ <span class="n">section</span> <span class="o">=</span> <span class="n">help_all_dict</span><span class="p">[</span><span class="n">section_name</span><span class="p">]</span>
+
+ <span class="k">for</span> <span class="n">parameter_name</span> <span class="ow">in</span> <span class="n">section</span><span class="p">[</span><span class="s2">"parameters"</span><span class="p">]</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="n">parameter</span> <span class="o">=</span> <span class="n">section</span><span class="p">[</span><span class="s2">"parameters"</span><span class="p">][</span><span class="n">parameter_name</span><span class="p">]</span>
+
+ <span class="c1"># Get detailed help info</span>
+ <span class="n">detailed_help</span> <span class="o">=</span> <span class="n">get_help</span><span class="p">(</span>
+ <span class="n">parameter_name</span><span class="p">,</span>
+ <span class="n">print_help</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+ <span class="n">fail_silently</span><span class="o">=</span><span class="n">fail_silently</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">detailed_help</span><span class="p">:</span>
+ <span class="c1"># check whether the descriptions of help_all and detailed help are the same</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">fail_silently</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">parameter</span><span class="p">[</span><span class="s2">"description"</span><span class="p">]</span> <span class="o">==</span> <span class="n">detailed_help</span><span class="p">[</span><span class="s2">"description"</span><span class="p">]:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">parameter</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+ <span class="c1">## put values into help all super dict</span>
+ <span class="c1"># input type</span>
+ <span class="n">parameter</span><span class="p">[</span><span class="s2">"parameter_value_input_type"</span><span class="p">]</span> <span class="o">=</span> <span class="n">detailed_help</span><span class="p">[</span>
+ <span class="s2">"parameter_value_input_type"</span>
+ <span class="p">]</span>
+
+ <span class="c1"># default</span>
+ <span class="n">parameter</span><span class="p">[</span><span class="s2">"default"</span><span class="p">]</span> <span class="o">=</span> <span class="n">detailed_help</span><span class="p">[</span><span class="s2">"default"</span><span class="p">]</span>
+
+ <span class="c1"># macros</span>
+ <span class="k">if</span> <span class="s2">"macros"</span> <span class="ow">in</span> <span class="n">detailed_help</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="n">parameter</span><span class="p">[</span><span class="s2">"macros"</span><span class="p">]</span> <span class="o">=</span> <span class="n">detailed_help</span><span class="p">[</span><span class="s2">"macros"</span><span class="p">]</span>
+
+ <span class="n">section</span><span class="p">[</span><span class="s2">"parameters"</span><span class="p">][</span><span class="n">parameter_name</span><span class="p">]</span> <span class="o">=</span> <span class="n">parameter</span>
+
+ <span class="k">if</span> <span class="n">print_help</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">help_all_super_dict</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+ <span class="k">return</span> <span class="n">help_all_super_dict</span></div>
+
+
+<div class="viewcode-block" id="make_build_text"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.make_build_text">[docs]</a><span class="k">def</span> <span class="nf">make_build_text</span><span class="p">()</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to make build text</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> string containing information about the build and the git branch</span>
+<span class="sd"> """</span>
+
+ <span class="n">version_info</span> <span class="o">=</span> <span class="n">return_binary_c_version_info</span><span class="p">(</span><span class="n">parsed</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+ <span class="n">git_revision</span> <span class="o">=</span> <span class="n">version_info</span><span class="p">[</span><span class="s2">"miscellaneous"</span><span class="p">][</span><span class="s2">"git_revision"</span><span class="p">]</span>
+ <span class="n">git_branch</span> <span class="o">=</span> <span class="n">version_info</span><span class="p">[</span><span class="s2">"miscellaneous"</span><span class="p">][</span><span class="s2">"git_branch"</span><span class="p">]</span>
+ <span class="n">build_datetime</span> <span class="o">=</span> <span class="n">version_info</span><span class="p">[</span><span class="s2">"miscellaneous"</span><span class="p">][</span><span class="s2">"build"</span><span class="p">]</span>
+
+ <span class="n">info_string</span> <span class="o">=</span> <span class="s2">"""</span>
+<span class="s2">This information was obtained by the following binary_c build:</span>
+<span class="se">\t</span><span class="s2">**binary_c git branch**: </span><span class="si">{}</span><span class="se">\t</span><span class="s2">**binary_c git revision**: </span><span class="si">{}</span><span class="se">\t</span><span class="s2">**Built on**: </span><span class="si">{}</span><span class="s2"></span>
+<span class="s2">"""</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">git_branch</span><span class="p">,</span> <span class="n">git_revision</span><span class="p">,</span> <span class="n">build_datetime</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">info_string</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="write_binary_c_parameter_descriptions_to_rst_file"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.write_binary_c_parameter_descriptions_to_rst_file">[docs]</a><span class="k">def</span> <span class="nf">write_binary_c_parameter_descriptions_to_rst_file</span><span class="p">(</span><span class="n">output_file</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that calls the get_help_super() to get the help text/descriptions for all the</span>
+<span class="sd"> parameters available in that build.</span>
+<span class="sd"> Writes the results to a .rst file that can be included in the docs.</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: add the specific version git branch, git build, git commit, and binary_c version to</span>
+<span class="sd"> this document</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> output_file: name of the output .rst faile containing the ReStructuredText formatted output</span>
+<span class="sd"> of all the binary_c parameters.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Get the whole arguments dictionary</span>
+ <span class="n">arguments_dict</span> <span class="o">=</span> <span class="n">get_help_super</span><span class="p">()</span>
+
+ <span class="n">build_info</span> <span class="o">=</span> <span class="n">make_build_text</span><span class="p">()</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">output_file</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">".rst"</span><span class="p">):</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Filename doesn't end with .rst, please provide a proper filename"</span><span class="p">)</span>
+ <span class="k">return</span> <span class="kc">None</span>
+
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">output_file</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Binary</span><span class="se">\\</span><span class="s2">_c parameters"</span><span class="p">,</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"="</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="s2">"Binary</span><span class="se">\\</span><span class="s2">_c parameters"</span><span class="p">)),</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"The following chapter contains all the parameters that the current version of binary</span><span class="se">\\</span><span class="s2">_c can handle, along with their descriptions and other properties."</span><span class="p">,</span>
+ <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">,</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">build_info</span><span class="p">,</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">,</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">arguments_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Section: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">el</span><span class="p">),</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"-"</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="s2">"Section: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">el</span><span class="p">))),</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="c1"># print(arguments_dict[el]['parameters'].keys())</span>
+
+ <span class="k">for</span> <span class="n">arg</span> <span class="ow">in</span> <span class="n">arguments_dict</span><span class="p">[</span><span class="n">el</span><span class="p">][</span><span class="s2">"parameters"</span><span class="p">]</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="n">argdict</span> <span class="o">=</span> <span class="n">arguments_dict</span><span class="p">[</span><span class="n">el</span><span class="p">][</span><span class="s2">"parameters"</span><span class="p">][</span><span class="n">arg</span><span class="p">]</span>
+
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"| **Parameter**: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">argdict</span><span class="p">[</span><span class="s2">"param_name"</span><span class="p">]),</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"| **Description**: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">argdict</span><span class="p">[</span><span class="s2">"description"</span><span class="p">]),</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="k">if</span> <span class="s2">"parameter_value_input_type"</span> <span class="ow">in</span> <span class="n">argdict</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"| **Parameter input type**: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">argdict</span><span class="p">[</span><span class="s2">"parameter_value_input_type"</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">if</span> <span class="s2">"default"</span> <span class="ow">in</span> <span class="n">argdict</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"| **Default value**: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">argdict</span><span class="p">[</span><span class="s2">"default"</span><span class="p">]),</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="k">if</span> <span class="s2">"macros"</span> <span class="ow">in</span> <span class="n">argdict</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"| **Macros**: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">argdict</span><span class="p">[</span><span class="s2">"macros"</span><span class="p">]),</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">argdict</span><span class="p">[</span><span class="s2">"rest"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"(null)"</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"| **Extra**: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">argdict</span><span class="p">[</span><span class="s2">"rest"</span><span class="p">]),</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">""</span><span class="p">,</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span></div>
+
+
+<span class="c1">########################################################</span>
+<span class="c1"># logfile functions</span>
+<span class="c1">########################################################</span>
+
+
+<div class="viewcode-block" id="load_logfile"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.load_logfile">[docs]</a><span class="k">def</span> <span class="nf">load_logfile</span><span class="p">(</span><span class="n">logfile</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Experimental function that parses the generated logfile of binary_c.</span>
+
+<span class="sd"> This function is not finished and shouldn't be used yet.</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO:</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> - logfile: filename of the logfile you want to parse</span>
+
+<span class="sd"> Returns:</span>
+
+<span class="sd"> """</span>
+
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">logfile</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span>
+ <span class="n">logfile_data</span> <span class="o">=</span> <span class="n">file</span><span class="o">.</span><span class="n">readlines</span><span class="p">()</span>
+
+ <span class="n">time_list</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">m1_list</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">m2_list</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">k1_list</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">k2_list</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">sep_list</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">ecc_list</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">rel_r1_list</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">rel_r2_list</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">event_list</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="c1"># random_seed = logfile_data[0].split()[-2]</span>
+ <span class="c1"># random_count = logfile_data[0].split()[-1]</span>
+ <span class="c1"># probability = logfile_data[-1].split()</span>
+
+ <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">logfile_data</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]:</span>
+ <span class="n">split_line</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()</span>
+
+ <span class="n">time_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+ <span class="n">m1_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+ <span class="n">m2_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">2</span><span class="p">])</span>
+ <span class="n">k1_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">3</span><span class="p">])</span>
+ <span class="n">k2_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">4</span><span class="p">])</span>
+ <span class="n">sep_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">5</span><span class="p">])</span>
+ <span class="n">ecc_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">6</span><span class="p">])</span>
+ <span class="n">rel_r1_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">7</span><span class="p">])</span>
+ <span class="n">rel_r2_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">8</span><span class="p">])</span>
+ <span class="n">event_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">" "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="mi">9</span><span class="p">:]))</span>
+
+ <span class="nb">print</span><span class="p">(</span><span class="n">event_list</span><span class="p">)</span></div>
+
+
+<span class="c1">########################################################</span>
+<span class="c1"># Ensemble dict functions</span>
+<span class="c1">########################################################</span>
+
+
+<div class="viewcode-block" id="inspect_dict"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.inspect_dict">[docs]</a><span class="k">def</span> <span class="nf">inspect_dict</span><span class="p">(</span>
+ <span class="n">input_dict</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">indent</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">print_structure</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to (recursively) inspect a (nested) dictionary.</span>
+<span class="sd"> The object that is returned is a dictionary containing the key of the input_dict, but as value</span>
+<span class="sd"> it will return the type of what the value would be in the input_dict</span>
+
+<span class="sd"> In this way we inspect the structure of these dictionaries, rather than the exact contents.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> input_dict: dictionary you want to inspect</span>
+<span class="sd"> print_structure: (optional, default = True)</span>
+<span class="sd"> indent: (optional, default = 0) indent of the first output</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Dictionary that has the same structure as the input_dict, but as values it has the</span>
+<span class="sd"> type(input_dict[key]) (except if the value is a dict)</span>
+<span class="sd"> """</span>
+
+ <span class="n">structure_dict</span> <span class="o">=</span> <span class="n">OrderedDict</span><span class="p">()</span> <span class="c1"># TODO: check if this still works</span>
+
+ <span class="c1">#</span>
+ <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">input_dict</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+ <span class="n">structure_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">print_structure</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\t</span><span class="s2">"</span> <span class="o">*</span> <span class="n">indent</span><span class="p">,</span> <span class="n">key</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">))</span>
+
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+ <span class="n">structure_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">inspect_dict</span><span class="p">(</span>
+ <span class="n">value</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="n">indent</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="n">print_structure</span><span class="o">=</span><span class="n">print_structure</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">structure_dict</span></div>
+
+
+<div class="viewcode-block" id="merge_dicts"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.merge_dicts">[docs]</a><span class="k">def</span> <span class="nf">merge_dicts</span><span class="p">(</span><span class="n">dict_1</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">dict_2</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to merge two dictionaries in a custom way.</span>
+
+<span class="sd"> Behaviour:</span>
+
+<span class="sd"> When dict keys are only present in one of either:</span>
+<span class="sd"> - we just add the content to the new dict</span>
+
+<span class="sd"> When dict keys are present in both, we decide based on the value types how to combine them:</span>
+<span class="sd"> - dictionaries will be merged by calling recursively calling this function again</span>
+<span class="sd"> - numbers will be added</span>
+<span class="sd"> - (opt) lists will be appended</span>
+<span class="sd"> - In the case that the instances do not match: for now I will raise an error</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> dict_1: first dictionary</span>
+<span class="sd"> dict_2: second dictionary</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Merged dictionary</span>
+
+<span class="sd"> """</span>
+
+ <span class="c1"># Set up new dict</span>
+ <span class="n">new_dict</span> <span class="o">=</span> <span class="n">OrderedDict</span><span class="p">()</span> <span class="c1"># TODO: check if this still works</span>
+
+ <span class="c1">#</span>
+ <span class="n">keys_1</span> <span class="o">=</span> <span class="n">dict_1</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+ <span class="n">keys_2</span> <span class="o">=</span> <span class="n">dict_2</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+
+ <span class="c1"># Find overlapping keys of both dicts</span>
+ <span class="n">overlapping_keys</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">keys_1</span><span class="p">)</span><span class="o">.</span><span class="n">intersection</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">keys_2</span><span class="p">))</span>
+
+ <span class="c1"># Find the keys that are unique</span>
+ <span class="n">unique_to_dict_1</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">keys_1</span><span class="p">)</span><span class="o">.</span><span class="n">difference</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">keys_2</span><span class="p">))</span>
+ <span class="n">unique_to_dict_2</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">keys_2</span><span class="p">)</span><span class="o">.</span><span class="n">difference</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">keys_1</span><span class="p">))</span>
+
+ <span class="c1"># Add the unique keys to the new dict</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">unique_to_dict_1</span><span class="p">:</span>
+ <span class="c1"># If these items are ints or floats, then just put them in</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">)):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="c1"># Else, to be safe we should deepcopy them</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">copy_dict</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">copy_dict</span>
+
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">unique_to_dict_2</span><span class="p">:</span>
+ <span class="c1"># If these items are ints or floats, then just put them in</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">)):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="c1"># Else, to be safe we should deepcopy them</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">copy_dict</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">copy_dict</span>
+
+ <span class="c1"># Go over the common keys:</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">overlapping_keys</span><span class="p">:</span>
+
+ <span class="c1"># See whether the types are actually the same</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">is</span> <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]):</span>
+ <span class="c1"># Exceptions:</span>
+ <span class="k">if</span> <span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">in</span> <span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">])</span> <span class="ow">and</span> <span class="p">(</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">in</span> <span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">]</span>
+ <span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">+</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="c1"># Exceptions:</span>
+ <span class="k">elif</span> <span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">in</span> <span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="n">OrderedDict</span><span class="p">])</span> <span class="ow">and</span> <span class="p">(</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">in</span> <span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="n">OrderedDict</span><span class="p">]</span>
+ <span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">merge_dicts</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Error key: </span><span class="si">{}</span><span class="s2"> value: </span><span class="si">{}</span><span class="s2"> type: </span><span class="si">{}</span><span class="s2"> and key: </span><span class="si">{}</span><span class="s2"> value: </span><span class="si">{}</span><span class="s2"> type: </span><span class="si">{}</span><span class="s2"> are not of the same type and cannot be merged"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span><span class="p">,</span>
+ <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="n">key</span><span class="p">,</span>
+ <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="c1"># Here we check for the cases that we want to explicitly catch. Ints will be added,</span>
+ <span class="c1"># floats will be added, lists will be appended (though that might change) and dicts will be</span>
+ <span class="c1"># dealt with by calling this function again.</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># ints</span>
+ <span class="c1"># Booleans (has to be the type Bool, not just a 0 or 1)</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">bool</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">bool</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="ow">or</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">int</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">int</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">+</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># floats</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">float</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">float</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">+</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># lists</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">list</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">list</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">+</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># dicts</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">dict</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">dict</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">merge_dicts</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Object types </span><span class="si">{}</span><span class="s2">: </span><span class="si">{}</span><span class="s2"> (</span><span class="si">{}</span><span class="s2">), </span><span class="si">{}</span><span class="s2"> (</span><span class="si">{}</span><span class="s2">) not supported."</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span><span class="p">,</span>
+ <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="c1">#</span>
+ <span class="k">return</span> <span class="n">new_dict</span></div>
+
+<div class="viewcode-block" id="update_dicts"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.update_dicts">[docs]</a><span class="k">def</span> <span class="nf">update_dicts</span><span class="p">(</span><span class="n">dict_1</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">dict_2</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to update dict_1 with values of dict_2 in a recursive way.</span>
+
+<span class="sd"> Behaviour:</span>
+
+<span class="sd"> When dict keys are only present in one of either:</span>
+<span class="sd"> - we just add the content to the new dict</span>
+
+<span class="sd"> When dict keys are present in both, we decide based on the value types how to combine them:</span>
+<span class="sd"> - value of dict2 will be taken</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> dict_1: first dictionary</span>
+<span class="sd"> dict_2: second dictionary</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> New dictionary with Updated values</span>
+
+<span class="sd"> """</span>
+
+ <span class="c1"># Set up new dict</span>
+ <span class="n">new_dict</span> <span class="o">=</span> <span class="n">OrderedDict</span><span class="p">()</span> <span class="c1"># TODO: check if this still works</span>
+
+ <span class="c1">#</span>
+ <span class="n">keys_1</span> <span class="o">=</span> <span class="n">dict_1</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+ <span class="n">keys_2</span> <span class="o">=</span> <span class="n">dict_2</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+
+ <span class="c1"># Find overlapping keys of both dicts</span>
+ <span class="n">overlapping_keys</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">keys_1</span><span class="p">)</span><span class="o">.</span><span class="n">intersection</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">keys_2</span><span class="p">))</span>
+
+ <span class="c1"># Find the keys that are unique</span>
+ <span class="n">unique_to_dict_1</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">keys_1</span><span class="p">)</span><span class="o">.</span><span class="n">difference</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">keys_2</span><span class="p">))</span>
+ <span class="n">unique_to_dict_2</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">keys_2</span><span class="p">)</span><span class="o">.</span><span class="n">difference</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">keys_1</span><span class="p">))</span>
+
+ <span class="c1"># Add the unique keys to the new dict</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">unique_to_dict_1</span><span class="p">:</span>
+ <span class="c1"># If these items are ints or floats, then just put them in</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">)):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="c1"># Else, to be safe we should deepcopy them</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">copy_dict</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">copy_dict</span>
+
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">unique_to_dict_2</span><span class="p">:</span>
+ <span class="c1"># If these items are ints or floats, then just put them in</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">)):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="c1"># Else, to be safe we should deepcopy them</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">copy_dict</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">copy_dict</span>
+
+ <span class="c1"># Go over the common keys:</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">overlapping_keys</span><span class="p">:</span>
+
+ <span class="c1"># See whether the types are actually the same</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">is</span> <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]):</span>
+ <span class="c1"># Exceptions:</span>
+ <span class="k">if</span> <span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">in</span> <span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="ow">and</span> <span class="p">(</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span> <span class="ow">in</span> <span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+ <span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Error key: </span><span class="si">{}</span><span class="s2"> value: </span><span class="si">{}</span><span class="s2"> type: </span><span class="si">{}</span><span class="s2"> and key: </span><span class="si">{}</span><span class="s2"> value: </span><span class="si">{}</span><span class="s2"> type: </span><span class="si">{}</span><span class="s2"> are not of the same type and cannot be merged"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span><span class="p">,</span>
+ <span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="n">key</span><span class="p">,</span>
+ <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span>
+ <span class="nb">type</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="c1"># Here we check for the cases that we want to explicitly catch. Ints will be added,</span>
+ <span class="c1"># floats will be added, lists will be appended (though that might change) and dicts will be</span>
+ <span class="c1"># dealt with by calling this function again.</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># dicts</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">dict</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="nb">dict</span><span class="p">):</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">update_dicts</span><span class="p">(</span><span class="n">dict_1</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">dict_2</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1">#</span>
+ <span class="k">return</span> <span class="n">new_dict</span></div>
+
+
+<div class="viewcode-block" id="count_keys_recursive"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.count_keys_recursive">[docs]</a><span class="k">def</span> <span class="nf">count_keys_recursive</span><span class="p">(</span><span class="n">input_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to count the total amount of keys in a dictionary</span>
+<span class="sd"> """</span>
+
+ <span class="n">local_count</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">input_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="n">local_count</span> <span class="o">+=</span> <span class="mi">1</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="p">(</span><span class="nb">dict</span><span class="p">,</span> <span class="n">OrderedDict</span><span class="p">)):</span>
+ <span class="n">local_count</span> <span class="o">+=</span> <span class="n">count_keys_recursive</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">])</span>
+ <span class="k">return</span> <span class="n">local_count</span></div>
+
+
+<div class="viewcode-block" id="recursive_change_key_to_float"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.recursive_change_key_to_float">[docs]</a><span class="k">def</span> <span class="nf">recursive_change_key_to_float</span><span class="p">(</span><span class="n">input_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to recursively change the key to float</span>
+
+<span class="sd"> This only works if the dict contains just sub-dicts or numbers/strings.</span>
+<span class="sd"> Does not work with lists as values</span>
+<span class="sd"> """</span>
+
+ <span class="n">new_dict</span> <span class="o">=</span> <span class="n">OrderedDict</span><span class="p">()</span> <span class="c1"># TODO: check if this still works</span>
+
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">input_dict</span><span class="p">:</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="p">(</span><span class="nb">dict</span><span class="p">,</span> <span class="n">OrderedDict</span><span class="p">)):</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">num_key</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">num_key</span><span class="p">]</span> <span class="o">=</span> <span class="n">recursive_change_key_to_float</span><span class="p">(</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]))</span>
+ <span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">recursive_change_key_to_float</span><span class="p">(</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]))</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">num_key</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">num_key</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="k">return</span> <span class="n">new_dict</span></div>
+
+<div class="viewcode-block" id="recursive_change_key_to_string"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.recursive_change_key_to_string">[docs]</a><span class="k">def</span> <span class="nf">recursive_change_key_to_string</span><span class="p">(</span><span class="n">input_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to recursively change the key back to a string but this time in a format that we decide</span>
+<span class="sd"> """</span>
+
+ <span class="n">new_dict</span> <span class="o">=</span> <span class="n">OrderedDict</span><span class="p">()</span> <span class="c1"># TODO: check if this still works</span>
+
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">input_dict</span><span class="p">:</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="p">(</span><span class="nb">dict</span><span class="p">,</span> <span class="n">OrderedDict</span><span class="p">)):</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">)):</span>
+ <span class="n">string_key</span> <span class="o">=</span> <span class="s2">"</span><span class="si">{:g}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">string_key</span><span class="p">]</span> <span class="o">=</span> <span class="n">recursive_change_key_to_string</span><span class="p">(</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]))</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">recursive_change_key_to_string</span><span class="p">(</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]))</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">)):</span>
+ <span class="n">string_key</span> <span class="o">=</span> <span class="s2">"</span><span class="si">{:g}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">string_key</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="k">return</span> <span class="n">new_dict</span></div>
+
+
+<span class="c1"># New method to create a ordered dictionary</span>
+<div class="viewcode-block" id="custom_sort_dict"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.custom_sort_dict">[docs]</a><span class="k">def</span> <span class="nf">custom_sort_dict</span><span class="p">(</span><span class="n">input_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Returns a dictionary that is ordered, but can handle numbers better than normal OrderedDict</span>
+
+<span class="sd"> When the keys of the current dictionary are of mixed type, we first find all the unique types.</span>
+<span class="sd"> Sort that list of type names. Then find the values that fit that type.</span>
+<span class="sd"> Sort those and append them to the sorted keys list. </span>
+<span class="sd"> This is done until all the keys are sorted.</span>
+
+<span class="sd"> All objects other than dictionary types are directly return as they are</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># If the new input is a dictionary, then try to sort it</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_dict</span><span class="p">,</span> <span class="p">(</span><span class="nb">dict</span><span class="p">,</span> <span class="n">OrderedDict</span><span class="p">)):</span>
+ <span class="n">new_dict</span> <span class="o">=</span> <span class="n">OrderedDict</span><span class="p">()</span>
+
+ <span class="n">keys</span> <span class="o">=</span> <span class="n">input_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+
+ <span class="c1"># Check if types are the same</span>
+ <span class="n">all_types_keys</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">type</span><span class="p">(</span><span class="n">key</span><span class="p">)</span> <span class="ow">in</span> <span class="n">all_types_keys</span><span class="p">:</span>
+ <span class="n">all_types_keys</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">key</span><span class="p">))</span>
+
+ <span class="c1"># If there are multiple types, then we loop over them and do a piecewise sort</span>
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">all_types_keys</span><span class="p">)</span> <span class="o">></span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Different types in the same dictionary key set"</span>
+
+ <span class="c1"># Create a string repr of the type name to sort them afterwards</span>
+ <span class="n">str_types</span> <span class="o">=</span> <span class="p">{</span><span class="nb">repr</span><span class="p">(</span><span class="n">el</span><span class="p">):</span><span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">all_types_keys</span><span class="p">}</span>
+
+ <span class="c1"># Set up sorted keys list</span>
+ <span class="n">sorted_keys</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="k">for</span> <span class="n">key_str_type</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">str_types</span><span class="o">.</span><span class="n">keys</span><span class="p">()):</span>
+ <span class="n">cur_type</span> <span class="o">=</span> <span class="n">str_types</span><span class="p">[</span><span class="n">key_str_type</span><span class="p">]</span>
+
+ <span class="n">cur_list</span> <span class="o">=</span> <span class="p">[</span><span class="n">key</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="n">cur_type</span><span class="p">)]</span>
+ <span class="n">cur_sorted_list</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">cur_list</span><span class="p">)</span>
+
+ <span class="n">sorted_keys</span> <span class="o">=</span> <span class="n">sorted_keys</span> <span class="o">+</span> <span class="n">cur_sorted_list</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">sorted_keys</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">keys</span><span class="p">)</span>
+
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">sorted_keys</span><span class="p">:</span>
+ <span class="n">new_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">custom_sort_dict</span><span class="p">(</span><span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]))</span>
+
+ <span class="k">return</span> <span class="n">new_dict</span>
+ <span class="k">return</span> <span class="n">input_dict</span></div>
+
+
+<div class="viewcode-block" id="multiply_values_dict"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.multiply_values_dict">[docs]</a><span class="k">def</span> <span class="nf">multiply_values_dict</span><span class="p">(</span><span class="n">input_dict</span><span class="p">,</span> <span class="n">factor</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that goes over dictionary recursively and multiplies the value if possible by a factor</span>
+
+<span class="sd"> If the key equals "general_info", the multiplication gets skipped</span>
+<span class="sd"> """</span>
+
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">input_dict</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">key</span> <span class="o">==</span> <span class="s1">'general_info'</span><span class="p">:</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="p">(</span><span class="nb">dict</span><span class="p">,</span> <span class="n">OrderedDict</span><span class="p">)):</span>
+ <span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">multiply_values_dict</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">factor</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">)):</span>
+ <span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">*</span> <span class="n">factor</span>
+
+ <span class="k">return</span> <span class="n">input_dict</span></div>
+
+
+<span class="c1">#####</span>
+
+<div class="viewcode-block" id="extract_ensemble_json_from_string"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.extract_ensemble_json_from_string">[docs]</a><span class="k">def</span> <span class="nf">extract_ensemble_json_from_string</span><span class="p">(</span><span class="n">binary_c_output</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to extract the ensemble_json information from a raw binary_c output string</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> binary_c_output: raw binary_c output string</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> json dictionary with the parsed ENSEMBLE_JSON data</span>
+<span class="sd"> """</span>
+
+ <span class="n">json_dict</span> <span class="o">=</span> <span class="kc">None</span>
+
+ <span class="k">try</span><span class="p">:</span>
+ <span class="c1"># If there is no output just return an empty dict:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">binary_c_output</span><span class="p">:</span>
+ <span class="n">json_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">return</span> <span class="n">json_dict</span>
+
+ <span class="n">ensemble_jsons_strings</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="n">line</span>
+ <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">binary_c_output</span><span class="o">.</span><span class="n">splitlines</span><span class="p">()</span>
+ <span class="k">if</span> <span class="n">line</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"ENSEMBLE_JSON"</span><span class="p">)</span>
+ <span class="p">]</span>
+
+ <span class="n">json_dict</span> <span class="o">=</span> <span class="n">handle_ensemble_string_to_json</span><span class="p">(</span>
+ <span class="n">ensemble_jsons_strings</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="nb">len</span><span class="p">(</span><span class="s2">"ENSEMBLE_JSON "</span><span class="p">)</span> <span class="p">:]</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">ensemble_jsons_strings</span><span class="p">)</span> <span class="o">></span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Warning: There is more than one line starting with ENSEMBLE_JSON. Taking the first, but you should check this out."</span><span class="p">,</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">except</span> <span class="ne">IndexError</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Error: Couldn't extract the ensemble information from the output string"</span><span class="p">,</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">json_dict</span></div>
+
+
+<div class="viewcode-block" id="binarycDecoder"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.binarycDecoder">[docs]</a><span class="k">class</span> <span class="nc">binarycDecoder</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">JSONDecoder</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Custom decoder to transform the numbers that are strings to actual floats</span>
+<span class="sd"> """</span>
+
+<div class="viewcode-block" id="binarycDecoder.decode"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.binarycDecoder.decode">[docs]</a> <span class="k">def</span> <span class="nf">decode</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">s</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Entry point function for decoding</span>
+<span class="sd"> """</span>
+
+ <span class="n">result</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span>
+ <span class="n">s</span>
+ <span class="p">)</span> <span class="c1"># result = super(Decoder, self).decode(s) for Python 2.x</span>
+ <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_decode</span><span class="p">(</span><span class="n">result</span><span class="p">)</span></div>
+
+ <span class="k">def</span> <span class="nf">_decode</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">o</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Depending on the type of object is will determine whether to loop over the elements,</span>
+<span class="sd"> or try to change the type of the object from string to float</span>
+
+<span class="sd"> The try except might be a somewhat rough solution but it catches all cases.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Check if we can turn it into a float</span>
+ <span class="c1"># if isinstance(o, str) or isinstance(o, unicode):</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">o</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="k">return</span> <span class="nb">float</span><span class="p">(</span><span class="n">o</span><span class="p">)</span>
+ <span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">o</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">o</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+ <span class="k">return</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_decode</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">o</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">o</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+ <span class="k">return</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_decode</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">o</span><span class="p">]</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">o</span></div>
+
+
+<div class="viewcode-block" id="BinaryCEncoder"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.BinaryCEncoder">[docs]</a><span class="k">class</span> <span class="nc">BinaryCEncoder</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">JSONEncoder</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Encoding class function to attempt to convert things to strings.</span>
+<span class="sd"> """</span>
+
+<div class="viewcode-block" id="BinaryCEncoder.default"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.BinaryCEncoder.default">[docs]</a> <span class="k">def</span> <span class="nf">default</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">o</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Converting function. Well, could be more precise. look at the json module</span>
+<span class="sd"> """</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">str_repr</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">o</span><span class="p">)</span>
+ <span class="k">except</span> <span class="ne">TypeError</span><span class="p">:</span>
+ <span class="k">pass</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">str_repr</span>
+
+ <span class="c1"># Let the base class default method raise the TypeError</span>
+ <span class="k">return</span> <span class="n">json</span><span class="o">.</span><span class="n">JSONEncoder</span><span class="o">.</span><span class="n">default</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">o</span><span class="p">)</span></div></div>
+
+
+<div class="viewcode-block" id="binaryc_json_serializer"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.binaryc_json_serializer">[docs]</a><span class="k">def</span> <span class="nf">binaryc_json_serializer</span><span class="p">(</span><span class="n">obj</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-></span> <span class="n">Any</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Custom serializer for binary_c to use when functions are present in the dictionary</span>
+<span class="sd"> that we want to export.</span>
+
+<span class="sd"> Function objects will be turned into str representations of themselves</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> obj: The object that might not be serializable</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Either string representation of object if the object is a function, or the object itself</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">inspect</span><span class="o">.</span><span class="n">isfunction</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">py_rinterpolate</span><span class="o">.</span><span class="n">Rinterpolate</span><span class="p">):</span>
+ <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">obj</span></div>
+
+
+<div class="viewcode-block" id="handle_ensemble_string_to_json"><a class="viewcode-back" href="../../../functions.html#binarycpython.utils.functions.handle_ensemble_string_to_json">[docs]</a><span class="k">def</span> <span class="nf">handle_ensemble_string_to_json</span><span class="p">(</span><span class="n">raw_output</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that deals with the raw output of the ensemble and</span>
+<span class="sd"> creates a working JSON dictionary out of it.</span>
+
+<span class="sd"> Having this wrapper makes it easy to</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> raw_output: raw output of the ensemble dump by binary_c</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> json.loads(raw_output, cls=binarycDecoder)</span>
+
+<span class="sd"> """</span>
+
+ <span class="c1"># return json.loads(json.dumps(ast.literal_eval(raw_output)), cls=binarycDecoder)</span>
+ <span class="k">return</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">raw_output</span><span class="p">,</span> <span class="bp">cls</span><span class="o">=</span><span class="n">binarycDecoder</span><span class="p">)</span></div>
+</pre></div>
+
+ </div>
+
+ </div>
+ <footer>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
+
+
+
+</footer>
+
+ </div>
+ </div>
+
+ </section>
+
+ </div>
+
+
+ <script type="text/javascript">
+ jQuery(function () {
+ SphinxRtdTheme.Navigation.enable(true);
+ });
+ </script>
+
+
+
+
+
+
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/build/html/_modules/binarycpython/utils/grid.html b/docs/build/html/_modules/binarycpython/utils/grid.html
new file mode 100644
index 0000000000000000000000000000000000000000..7b2c1036e4171a1850cf466215f872645ff1a7be
--- /dev/null
+++ b/docs/build/html/_modules/binarycpython/utils/grid.html
@@ -0,0 +1,4226 @@
+
+
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" >
+<head>
+ <meta charset="utf-8">
+
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+ <title>binarycpython.utils.grid — binary_c-python documentation</title>
+
+
+
+ <link rel="stylesheet" href="../../../_static/css/theme.css" type="text/css" />
+ <link rel="stylesheet" href="../../../_static/pygments.css" type="text/css" />
+
+
+
+
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+
+
+ <!--[if lt IE 9]>
+ <script src="../../../_static/js/html5shiv.min.js"></script>
+ <![endif]-->
+
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+ <script type="text/javascript" id="documentation_options" data-url_root="../../../" src="../../../_static/documentation_options.js"></script>
+ <script src="../../../_static/jquery.js"></script>
+ <script src="../../../_static/underscore.js"></script>
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+ <script src="../../../_static/language_data.js"></script>
+
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+
+
+ <link rel="index" title="Index" href="../../../genindex.html" />
+ <link rel="search" title="Search" href="../../../search.html" />
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+
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+ <a href="../../../index.html" class="icon icon-home" alt="Documentation Home"> binary_c-python
+
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+ </a>
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+<div role="search">
+ <form id="rtd-search-form" class="wy-form" action="../../../search.html" method="get">
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+
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+
+
+
+
+ <p class="caption"><span class="caption-text">Contents:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../../../readme_link.html">Python module for binary_c</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../modules.html">Binarycpython code</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../examples.html">Examples</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../binary_c_parameters.html">Binary_c parameters</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../grid_options_descriptions.html">Population grid code options</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python">Visit the GitLab repo</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/issues/new">Submit an issue</a></li>
+</ul>
+
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+ </div>
+
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+ <h1>Source code for binarycpython.utils.grid</h1><div class="highlight"><pre>
+<span></span><span class="sd">"""</span>
+<span class="sd">Module containing the Population grid class object.</span>
+
+<span class="sd">Here all the functionality of a Population object is defined.</span>
+
+<span class="sd">Useful for the user to understand the functionality,</span>
+<span class="sd">but copying functionality isn't recommended except if you know what you are doing</span>
+
+<span class="sd">Tasks:</span>
+<span class="sd"> - TODO: add functionality to 'on-init' set arguments</span>
+<span class="sd"> - TODO: add functionality to return the initial_abundance_hash</span>
+<span class="sd"> - TODO: add functionality to return the isotope_hash</span>
+<span class="sd"> - TODO: add functionality to return the isotope_list</span>
+<span class="sd"> - TODO: add functionality to return the nuclear_mass_hash</span>
+<span class="sd"> - TODO: add functionality to return the nuclear_mass_list</span>
+<span class="sd"> - TODO: add functionality to return the source_list</span>
+<span class="sd"> - TODO: add functionality to return the ensemble_list</span>
+<span class="sd"> - TODO: consider spreading the functions over more files.</span>
+<span class="sd"> - TODO: type the private functions</span>
+<span class="sd"> - TODO: fix the correct object types for the default values of the bse_options</span>
+<span class="sd"> - TODO: uncomment and implement the HPC functionality</span>
+<span class="sd"> - TODO: think of a clean and nice way to unload and remove the custom_logging_info library from memory (and from disk)</span>
+<span class="sd"> - TODO: think of a nice way to remove the loaded grid_code/ generator from memory. </span>
+<span class="sd"> - TODO: Create a designated dict for results</span>
+<span class="sd">"""</span>
+
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">gc</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">time</span>
+<span class="kn">import</span> <span class="nn">uuid</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">datetime</span>
+<span class="kn">import</span> <span class="nn">argparse</span>
+<span class="kn">import</span> <span class="nn">importlib.util</span>
+<span class="kn">import</span> <span class="nn">multiprocessing</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span><span class="p">,</span> <span class="n">Any</span>
+<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">OrderedDict</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">import</span> <span class="nn">setproctitle</span>
+<span class="kn">import</span> <span class="nn">py_rinterpolate</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython.utils.grid_options_defaults</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">grid_options_defaults_dict</span><span class="p">,</span>
+ <span class="n">moe_distefano_default_options</span><span class="p">,</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython.utils.custom_logging_functions</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">autogen_C_logging_code</span><span class="p">,</span>
+ <span class="n">binary_c_log_code</span><span class="p">,</span>
+ <span class="n">create_and_load_logging_function</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.functions</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">get_defaults</span><span class="p">,</span>
+ <span class="n">remove_file</span><span class="p">,</span>
+ <span class="n">filter_arg_dict</span><span class="p">,</span>
+ <span class="n">get_help_all</span><span class="p">,</span>
+ <span class="n">return_binary_c_version_info</span><span class="p">,</span>
+ <span class="n">binaryc_json_serializer</span><span class="p">,</span>
+ <span class="n">verbose_print</span><span class="p">,</span>
+ <span class="n">merge_dicts</span><span class="p">,</span>
+ <span class="n">update_dicts</span><span class="p">,</span>
+ <span class="n">extract_ensemble_json_from_string</span><span class="p">,</span>
+ <span class="n">get_moe_distefano_dataset</span><span class="p">,</span>
+ <span class="n">recursive_change_key_to_float</span><span class="p">,</span>
+ <span class="n">custom_sort_dict</span><span class="p">,</span>
+ <span class="n">recursive_change_key_to_string</span><span class="p">,</span>
+ <span class="n">multiply_values_dict</span><span class="p">,</span>
+<span class="p">)</span>
+
+
+<span class="c1"># from binarycpython.utils.hpc_functions import (</span>
+<span class="c1"># get_condor_version,</span>
+<span class="c1"># get_slurm_version,</span>
+<span class="c1"># create_directories_hpc,</span>
+<span class="c1"># path_of_calling_script,</span>
+<span class="c1"># get_python_details,</span>
+<span class="c1"># )</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython.utils.distribution_functions</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">Moecache</span><span class="p">,</span>
+ <span class="n">LOG_LN_CONVERTER</span><span class="p">,</span>
+ <span class="n">fill_data</span><span class="p">,</span>
+ <span class="n">get_max_multiplicity</span><span class="p">,</span>
+ <span class="n">Arenou2010_binary_fraction</span><span class="p">,</span>
+ <span class="n">raghavan2010_binary_fraction</span><span class="p">,</span>
+ <span class="n">Moe_de_Stefano_2017_multiplicity_fractions</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython</span> <span class="kn">import</span> <span class="n">_binary_c_bindings</span>
+
+
+<div class="viewcode-block" id="Population"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population">[docs]</a><span class="k">class</span> <span class="nc">Population</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Population Object. Contains all the necessary functions to set up, run and process a</span>
+<span class="sd"> population of systems</span>
+<span class="sd"> """</span>
+
+ <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Initialisation function of the population class</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Different sections of options</span>
+
+ <span class="c1"># get binary_c defaults and create a cleaned up dict</span>
+ <span class="c1"># Setting stuff will check against the defaults to see if the input is correct.</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">defaults</span> <span class="o">=</span> <span class="n">get_defaults</span><span class="p">()</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">cleaned_up_defaults</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cleanup_defaults</span><span class="p">()</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">available_keys</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">defaults</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">special_params</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="n">el</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">defaults</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span> <span class="k">if</span> <span class="n">el</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">"</span><span class="si">%d</span><span class="s2">"</span><span class="p">)</span>
+ <span class="p">]</span>
+
+ <span class="c1"># make the input dictionary</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span> <span class="o">=</span> <span class="p">{}</span> <span class="c1"># bse_options is just empty.</span>
+
+ <span class="c1"># Grid options</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">grid_options_defaults_dict</span><span class="p">)</span>
+
+ <span class="c1"># Custom options</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Load M&s options</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">moe_distefano_default_options</span><span class="p">)</span>
+
+ <span class="c1"># Write M&S options to a file</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">),</span> <span class="s2">"moeopts.dat"</span><span class="p">),</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">],</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+ <span class="c1"># Argline dict</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">argline_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Set main process id</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_main_pid"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getpid</span><span class="p">()</span>
+
+ <span class="c1"># Set some memory dicts</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">persistent_data_memory_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1">#</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># Create location to store results. Users should write to this dictionary.</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_results</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Create location where ensemble results are written to</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1">###################################################</span>
+ <span class="c1"># Argument functions</span>
+ <span class="c1">###################################################</span>
+
+ <span class="c1"># General flow of generating the arguments for the binary_c call:</span>
+ <span class="c1"># - user provides parameter and value via set (or manually but that is risky)</span>
+ <span class="c1"># - The parameter names of these input get compared to the parameter names in the self.defaults;</span>
+ <span class="c1"># with this, we know that its a valid parameter to give to binary_c.</span>
+ <span class="c1"># - For a single system, the bse_options will be written as a arg line</span>
+ <span class="c1"># - For a population the bse_options will get copied to a temp_bse_options dict and updated with</span>
+ <span class="c1"># all the parameters generated by the grid</span>
+
+ <span class="c1"># I will NOT create the argument line by fully writing ALL the defaults and overriding user</span>
+ <span class="c1"># input, that seems not necessary because by using the get_defaults() function we already</span>
+ <span class="c1"># know for sure which parameter names are valid for the binary_c version</span>
+ <span class="c1"># And because binary_c uses internal defaults, its not necessary to explicitly pass them.</span>
+ <span class="c1"># I do however suggest everyone to export the binary_c defaults to a file, so that you know</span>
+ <span class="c1"># exactly which values were the defaults.</span>
+
+<div class="viewcode-block" id="Population.set"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.set">[docs]</a> <span class="k">def</span> <span class="nf">set</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to set the values of the population. This is the preferred method to set values</span>
+<span class="sd"> of functions, as it provides checks on the input.</span>
+
+<span class="sd"> the bse_options will get populated with all the those that have a key that is present</span>
+<span class="sd"> in the self.defaults</span>
+
+<span class="sd"> the grid_options will get updated with all the those that have a key that is present</span>
+<span class="sd"> in the self.grid_options</span>
+
+<span class="sd"> If neither of above is met; the key and the value get stored in a custom_options dict.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> via kwargs all the arguments are either set to binary_c parameters, grid_options or custom_options (see above)</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Select the params that end with %d</span>
+
+ <span class="c1"># Go over all the input</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+ <span class="c1"># Filter out keys for the bse_options</span>
+ <span class="k">if</span> <span class="n">key</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">defaults</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"adding: </span><span class="si">{}</span><span class="s2">=</span><span class="si">{}</span><span class="s2"> to BSE_options"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># Extra check to check if the key fits one of parameter names that end with %d</span>
+ <span class="k">elif</span> <span class="nb">any</span><span class="p">(</span>
+ <span class="p">[</span>
+ <span class="kc">True</span>
+ <span class="k">if</span> <span class="p">(</span><span class="n">key</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="n">param</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">param</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span> <span class="o"><</span> <span class="nb">len</span><span class="p">(</span><span class="n">key</span><span class="p">))</span>
+ <span class="k">else</span> <span class="kc">False</span>
+ <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">special_params</span>
+ <span class="p">]</span>
+ <span class="p">):</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"adding: </span><span class="si">{}</span><span class="s2">=</span><span class="si">{}</span><span class="s2"> to BSE_options by catching the </span><span class="si">%d</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># Filter out keys for the grid_options</span>
+ <span class="k">elif</span> <span class="n">key</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"adding: </span><span class="si">{}</span><span class="s2">=</span><span class="si">{}</span><span class="s2"> to grid_options"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># The of the keys go into a custom_options dict</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"!! Key doesnt match previously known parameter: </span><span class="se">\</span>
+<span class="s2"> adding: </span><span class="si">{}</span><span class="s2">=</span><span class="si">{}</span><span class="s2"> to custom_options"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span></div>
+<div class="viewcode-block" id="Population.parse_cmdline"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.parse_cmdline">[docs]</a> <span class="k">def</span> <span class="nf">parse_cmdline</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to handle settings values via the command line.</span>
+<span class="sd"> Best to be called after all the .set(..) lines, and just before the .evolve() is called</span>
+
+<span class="sd"> If you input any known parameter (i.e. contained in grid_options, defaults/bse_options</span>
+<span class="sd"> or custom_options), this function will attempt to convert the input from string</span>
+<span class="sd"> (because everything is string) to the type of the value that option had before.</span>
+
+<span class="sd"> The values of the bse_options are initially all strings, but after user input they</span>
+<span class="sd"> can change to ints.</span>
+
+<span class="sd"> The value of any new parameter (which will go to custom_options) will be a string.</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: remove the need for --cmdline</span>
+<span class="sd"> """</span>
+
+ <span class="n">parser</span> <span class="o">=</span> <span class="n">argparse</span><span class="o">.</span><span class="n">ArgumentParser</span><span class="p">()</span>
+ <span class="n">parser</span><span class="o">.</span><span class="n">add_argument</span><span class="p">(</span>
+ <span class="s2">"--cmdline"</span><span class="p">,</span>
+ <span class="n">help</span><span class="o">=</span><span class="s1">'Setting values via the commandline. Input like --cmdline "metallicity=0.02"'</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">args</span> <span class="o">=</span> <span class="n">parser</span><span class="o">.</span><span class="n">parse_args</span><span class="p">()</span>
+
+ <span class="c1"># How its set up now is that as input you need to give --cmdline "metallicity=0.002"</span>
+ <span class="c1"># Its checked if this exists and handled accordingly.</span>
+ <span class="k">if</span> <span class="n">args</span><span class="o">.</span><span class="n">cmdline</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Found cmdline args. Parsing them now"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Grab the input and split them up, while accepting only non-empty entries</span>
+ <span class="n">cmdline_args</span> <span class="o">=</span> <span class="n">args</span><span class="o">.</span><span class="n">cmdline</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_commandline_input"</span><span class="p">]</span> <span class="o">=</span> <span class="n">cmdline_args</span>
+ <span class="n">split_args</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="n">cmdline_arg</span>
+ <span class="k">for</span> <span class="n">cmdline_arg</span> <span class="ow">in</span> <span class="n">cmdline_args</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">" "</span><span class="p">)</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">cmdline_arg</span> <span class="o">==</span> <span class="s2">""</span>
+ <span class="p">]</span>
+
+ <span class="c1"># Make dict and fill it</span>
+ <span class="n">cmdline_dict</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">cmdline_arg</span> <span class="ow">in</span> <span class="n">split_args</span><span class="p">:</span>
+ <span class="n">split</span> <span class="o">=</span> <span class="n">cmdline_arg</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"="</span><span class="p">)</span>
+ <span class="n">parameter</span> <span class="o">=</span> <span class="n">split</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="n">value</span> <span class="o">=</span> <span class="n">split</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+ <span class="n">old_value_found</span> <span class="o">=</span> <span class="kc">False</span>
+
+ <span class="c1"># Find an old value</span>
+ <span class="k">if</span> <span class="n">parameter</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">:</span>
+ <span class="n">old_value</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="n">parameter</span><span class="p">]</span>
+ <span class="n">old_value_found</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="k">elif</span> <span class="n">parameter</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">defaults</span><span class="p">:</span>
+ <span class="n">old_value</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">defaults</span><span class="p">[</span><span class="n">parameter</span><span class="p">]</span>
+ <span class="n">old_value_found</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="k">elif</span> <span class="n">parameter</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">:</span>
+ <span class="n">old_value</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="n">parameter</span><span class="p">]</span>
+ <span class="n">old_value_found</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="c1"># (attempt to) convert</span>
+ <span class="k">if</span> <span class="n">old_value_found</span><span class="p">:</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Converting type of </span><span class="si">{}</span><span class="s2"> from </span><span class="si">{}</span><span class="s2"> to </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">parameter</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="n">value</span><span class="p">),</span> <span class="nb">type</span><span class="p">(</span><span class="n">old_value</span><span class="p">)</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">value</span> <span class="o">=</span> <span class="nb">type</span><span class="p">(</span><span class="n">old_value</span><span class="p">)(</span><span class="n">value</span><span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span><span class="s2">"Success!"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+
+ <span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Tried to convert the given parameter </span><span class="si">{}</span><span class="s2">/value </span><span class="si">{}</span><span class="s2"> to its correct type </span><span class="si">{}</span><span class="s2"> (from old value </span><span class="si">{}</span><span class="s2">). But that wasn't possible."</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">parameter</span><span class="p">,</span> <span class="n">value</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="n">old_value</span><span class="p">),</span> <span class="n">old_value</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add to dict</span>
+ <span class="n">cmdline_dict</span><span class="p">[</span><span class="n">parameter</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
+
+ <span class="c1"># unpack the dictionary into the setting function that handles where the values are set</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="o">**</span><span class="n">cmdline_dict</span><span class="p">)</span></div>
+
+ <span class="k">def</span> <span class="nf">_return_argline</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">parameter_dict</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to create the string for the arg line from a parameter dict</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">parameter_dict</span><span class="p">:</span>
+ <span class="n">parameter_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span>
+
+ <span class="n">argline</span> <span class="o">=</span> <span class="s2">"binary_c "</span>
+
+ <span class="k">for</span> <span class="n">param_name</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">parameter_dict</span><span class="p">):</span>
+ <span class="n">argline</span> <span class="o">+=</span> <span class="s2">"</span><span class="si">{}</span><span class="s2"> </span><span class="si">{}</span><span class="s2"> "</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">param_name</span><span class="p">,</span> <span class="n">parameter_dict</span><span class="p">[</span><span class="n">param_name</span><span class="p">])</span>
+ <span class="n">argline</span> <span class="o">=</span> <span class="n">argline</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="k">return</span> <span class="n">argline</span>
+
+<div class="viewcode-block" id="Population.last_grid_variable"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.last_grid_variable">[docs]</a> <span class="k">def</span> <span class="nf">last_grid_variable</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Functon that returns the last grid variable</span>
+<span class="sd"> (i.e. the one with the highest grid_variable_number)</span>
+<span class="sd"> """</span>
+
+ <span class="n">number</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">])</span>
+ <span class="k">for</span> <span class="n">grid_variable</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">]:</span>
+ <span class="k">if</span> <span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">][</span><span class="n">grid_variable</span><span class="p">][</span>
+ <span class="s2">"grid_variable_number"</span>
+ <span class="p">]</span>
+ <span class="o">==</span> <span class="n">number</span> <span class="o">-</span> <span class="mi">1</span>
+ <span class="p">):</span>
+ <span class="k">return</span> <span class="n">grid_variable</span></div>
+<div class="viewcode-block" id="Population.add_grid_variable"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.add_grid_variable">[docs]</a> <span class="k">def</span> <span class="nf">add_grid_variable</span><span class="p">(</span>
+ <span class="bp">self</span><span class="p">,</span>
+ <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+ <span class="n">longname</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+ <span class="n">valuerange</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">list</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+ <span class="n">resolution</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+ <span class="n">spacingfunc</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+ <span class="n">probdist</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+ <span class="n">parameter_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+ <span class="n">gridtype</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"edge"</span><span class="p">,</span>
+ <span class="n">branchpoint</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+ <span class="n">precode</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+ <span class="n">condition</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+ <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to add grid variables to the grid_options.</span>
+
+<span class="sd"> The execution of the grid generation will be through a nested forloop.</span>
+<span class="sd"> Each of the grid variables will get create a deeper for loop.</span>
+
+<span class="sd"> The real function that generates the numbers will get written to a new file in the TMP_DIR,</span>
+<span class="sd"> and then loaded imported and evaluated.</span>
+<span class="sd"> beware that if you insert some destructive piece of code, it will be executed anyway.</span>
+<span class="sd"> Use at own risk.</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: Fix this complex function.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> name:</span>
+<span class="sd"> name of parameter. This is evaluated as a parameter and you can use it throughout</span>
+<span class="sd"> the rest of the function</span>
+<span class="sd"> </span>
+<span class="sd"> Examples:</span>
+<span class="sd"> name = 'lnm1'</span>
+<span class="sd"> longname:</span>
+<span class="sd"> Long name of parameter</span>
+<span class="sd"> </span>
+<span class="sd"> Examples:</span>
+<span class="sd"> longname = 'Primary mass'</span>
+<span class="sd"> range:</span>
+<span class="sd"> Range of values to take. Does not get used really, the spacingfunction is used to</span>
+<span class="sd"> get the values from</span>
+<span class="sd"> </span>
+<span class="sd"> Examples:</span>
+<span class="sd"> range = [math.log(m_min), math.log(m_max)]</span>
+<span class="sd"> resolution:</span>
+<span class="sd"> Resolution of the sampled range (amount of samples).</span>
+<span class="sd"> TODO: check if this is used anywhere</span>
+
+<span class="sd"> Examples: </span>
+<span class="sd"> resolution = resolution["M_1"]</span>
+<span class="sd"> spacingfunction:</span>
+<span class="sd"> Function determining how the range is sampled. You can either use a real function,</span>
+<span class="sd"> or a string representation of a function call. Will get written to a file and</span>
+<span class="sd"> then evaluated.</span>
+
+<span class="sd"> Examples:</span>
+<span class="sd"> spacingfunction = "const(math.log(m_min), math.log(m_max), {})".format(resolution['M_1'])</span>
+
+<span class="sd"> precode:</span>
+<span class="sd"> Extra room for some code. This code will be evaluated within the loop of the</span>
+<span class="sd"> sampling function (i.e. a value for lnm1 is chosen already)</span>
+<span class="sd"> </span>
+<span class="sd"> Examples:</span>
+<span class="sd"> precode = 'M_1=math.exp(lnm1);'</span>
+<span class="sd"> probdist:</span>
+<span class="sd"> FUnction determining the probability that gets asigned to the sampled parameter</span>
+<span class="sd"> </span>
+<span class="sd"> Examples:</span>
+<span class="sd"> probdist = 'Kroupa2001(M_1)*M_1'</span>
+<span class="sd"> dphasevol:</span>
+<span class="sd"> part of the parameter space that the total probability is calculated with. Put to -1</span>
+<span class="sd"> if you want to ignore any dphasevol calculations and set the value to 1</span>
+<span class="sd"> Examples:</span>
+<span class="sd"> dphasevol = 'dlnm1'</span>
+<span class="sd"> condition:</span>
+<span class="sd"> condition that has to be met in order for the grid generation to continue</span>
+<span class="sd"> Examples:</span>
+<span class="sd"> condition = 'self.grid_options['binary']==1'</span>
+<span class="sd"> gridtype:</span>
+<span class="sd"> Method on how the value range is sampled. Can be either 'edge' (steps starting at</span>
+<span class="sd"> the lower edge of the value range) or 'center'</span>
+<span class="sd"> (steps starting at lower edge + 0.5 * stepsize).</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># TODO: Add check for the gridtype input value</span>
+ <span class="c1"># TODO: add functionality for branchpoint</span>
+
+ <span class="c1"># Add grid_variable</span>
+ <span class="n">grid_variable</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"name"</span><span class="p">:</span> <span class="n">name</span><span class="p">,</span>
+ <span class="s2">"longname"</span><span class="p">:</span> <span class="n">longname</span><span class="p">,</span>
+ <span class="s2">"valuerange"</span><span class="p">:</span> <span class="n">valuerange</span><span class="p">,</span>
+ <span class="s2">"resolution"</span><span class="p">:</span> <span class="n">resolution</span><span class="p">,</span>
+ <span class="s2">"spacingfunc"</span><span class="p">:</span> <span class="n">spacingfunc</span><span class="p">,</span>
+ <span class="s2">"precode"</span><span class="p">:</span> <span class="n">precode</span><span class="p">,</span>
+ <span class="s2">"probdist"</span><span class="p">:</span> <span class="n">probdist</span><span class="p">,</span>
+ <span class="s2">"dphasevol"</span><span class="p">:</span> <span class="n">dphasevol</span><span class="p">,</span>
+ <span class="s2">"parameter_name"</span><span class="p">:</span> <span class="n">parameter_name</span><span class="p">,</span>
+ <span class="s2">"condition"</span><span class="p">:</span> <span class="n">condition</span><span class="p">,</span>
+ <span class="s2">"gridtype"</span><span class="p">:</span> <span class="n">gridtype</span><span class="p">,</span>
+ <span class="s2">"branchpoint"</span><span class="p">:</span> <span class="n">branchpoint</span><span class="p">,</span>
+ <span class="s2">"grid_variable_number"</span><span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">]),</span>
+ <span class="p">}</span>
+
+ <span class="c1"># Load it into the grid_options</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">][</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">]]</span> <span class="o">=</span> <span class="n">grid_variable</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Added grid variable: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span></div>
+
+ <span class="c1">###################################################</span>
+ <span class="c1"># Return functions</span>
+ <span class="c1">###################################################</span>
+
+<div class="viewcode-block" id="Population.return_population_settings"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.return_population_settings">[docs]</a> <span class="k">def</span> <span class="nf">return_population_settings</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that returns all the options that have been set.</span>
+
+<span class="sd"> Can be combined with json to make a nice file.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> dictionary containing "bse_options", "grid_options", "custom_options"</span>
+<span class="sd"> """</span>
+
+ <span class="n">options</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"bse_options"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="p">,</span>
+ <span class="s2">"grid_options"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">,</span>
+ <span class="s2">"custom_options"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">,</span>
+ <span class="p">}</span>
+
+ <span class="k">return</span> <span class="n">options</span></div>
+
+ <span class="k">def</span> <span class="nf">_return_binary_c_version_info</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">parsed</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that returns the version information of binary_c</span>
+<span class="sd"> """</span>
+
+ <span class="n">version_info</span> <span class="o">=</span> <span class="n">return_binary_c_version_info</span><span class="p">(</span><span class="n">parsed</span><span class="o">=</span><span class="n">parsed</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">version_info</span>
+
+ <span class="k">def</span> <span class="nf">_return_binary_c_defaults</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that returns the defaults of the binary_c version that is used.</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">defaults</span>
+
+<div class="viewcode-block" id="Population.return_all_info"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.return_all_info">[docs]</a> <span class="k">def</span> <span class="nf">return_all_info</span><span class="p">(</span>
+ <span class="bp">self</span><span class="p">,</span>
+ <span class="n">include_population_settings</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="n">include_binary_c_defaults</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="n">include_binary_c_version_info</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="n">include_binary_c_help_all</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that returns all the information about the population and binary_c</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> include_population_settings:</span>
+<span class="sd"> whether to include the population_settings (see function return_population_settings)</span>
+<span class="sd"> include_binary_c_defaults:</span>
+<span class="sd"> whether to include a dict containing the binary_c parameters and their default</span>
+<span class="sd"> values</span>
+<span class="sd"> include_binary_c_version_info:</span>
+<span class="sd"> whether to include a dict containing all the binary_c version info</span>
+<span class="sd"> (see return_binary_c_version_info)</span>
+<span class="sd"> include_binary_c_help_all:</span>
+<span class="sd"> whether to include a dict containing all the information about</span>
+<span class="sd"> the binary_c parameters (see get_help_all)</span>
+
+<span class="sd"> Return:</span>
+<span class="sd"> dictionary containing all, or part of, the above dictionaries</span>
+<span class="sd"> """</span>
+
+ <span class="c1">#</span>
+ <span class="n">all_info</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1">#</span>
+ <span class="k">if</span> <span class="n">include_population_settings</span><span class="p">:</span>
+ <span class="n">population_settings</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">return_population_settings</span><span class="p">()</span>
+ <span class="n">all_info</span><span class="p">[</span><span class="s2">"population_settings"</span><span class="p">]</span> <span class="o">=</span> <span class="n">population_settings</span>
+
+ <span class="c1">#</span>
+ <span class="k">if</span> <span class="n">include_binary_c_defaults</span><span class="p">:</span>
+ <span class="n">binary_c_defaults</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_return_binary_c_defaults</span><span class="p">()</span>
+ <span class="n">all_info</span><span class="p">[</span><span class="s2">"binary_c_defaults"</span><span class="p">]</span> <span class="o">=</span> <span class="n">binary_c_defaults</span>
+
+ <span class="k">if</span> <span class="n">include_binary_c_version_info</span><span class="p">:</span>
+ <span class="n">binary_c_version_info</span> <span class="o">=</span> <span class="n">return_binary_c_version_info</span><span class="p">(</span><span class="n">parsed</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="n">all_info</span><span class="p">[</span><span class="s2">"binary_c_version_info"</span><span class="p">]</span> <span class="o">=</span> <span class="n">binary_c_version_info</span>
+
+ <span class="k">if</span> <span class="n">include_binary_c_help_all</span><span class="p">:</span>
+ <span class="n">binary_c_help_all_info</span> <span class="o">=</span> <span class="n">get_help_all</span><span class="p">(</span><span class="n">print_help</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+ <span class="n">all_info</span><span class="p">[</span><span class="s2">"binary_c_help_all"</span><span class="p">]</span> <span class="o">=</span> <span class="n">binary_c_help_all_info</span>
+
+ <span class="k">return</span> <span class="n">all_info</span></div>
+
+<div class="viewcode-block" id="Population.export_all_info"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.export_all_info">[docs]</a> <span class="k">def</span> <span class="nf">export_all_info</span><span class="p">(</span>
+ <span class="bp">self</span><span class="p">,</span>
+ <span class="n">use_datadir</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="n">outfile</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+ <span class="n">include_population_settings</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="n">include_binary_c_defaults</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="n">include_binary_c_version_info</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="n">include_binary_c_help_all</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="kc">None</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that exports the all_info to a json file</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: if any of the values in the dicts here is of a not-serializable form, then we</span>
+<span class="sd"> need to change that to a string or something so, use a recursive function that</span>
+<span class="sd"> goes over the all_info dict and finds those that fit</span>
+<span class="sd"> - TODO: Fix to write things to the directory. which options do which etc</span>
+<span class="sd"> - TODO: theres flawed logic here. rewrite this part pls</span>
+<span class="sd"> - TODO: consider actually just removing the whole 'output to file' part and let the</span>
+<span class="sd"> user do this.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> include_population_settings: whether to include the population_settings</span>
+<span class="sd"> (see function return_population_settings)</span>
+<span class="sd"> include_binary_c_defaults: whether to include a dict containing the binary_c parameters</span>
+<span class="sd"> and their default values</span>
+<span class="sd"> include_binary_c_version_info: whether to include a dict containing all the binary_c</span>
+<span class="sd"> version info (see return_binary_c_version_info)</span>
+<span class="sd"> include_binary_c_help_all: whether to include a dict containing all the information</span>
+<span class="sd"> about the binary_c parameters (see get_help_all)</span>
+<span class="sd"> use_datadir: boolean whether to use the custom_options['data_dir'] to write the file to.</span>
+<span class="sd"> If the custom_options["base_filename"] is set, the output file will be called</span>
+<span class="sd"> <custom_options["base_filename"]>_settings.json. Otherwise a file called</span>
+<span class="sd"> simulation_<date+time>_settings.json will be created</span>
+<span class="sd"> outfile: if use_datadir is false, a custom filename will be used</span>
+<span class="sd"> """</span>
+
+ <span class="n">all_info</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">return_all_info</span><span class="p">(</span>
+ <span class="n">include_population_settings</span><span class="o">=</span><span class="n">include_population_settings</span><span class="p">,</span>
+ <span class="n">include_binary_c_defaults</span><span class="o">=</span><span class="n">include_binary_c_defaults</span><span class="p">,</span>
+ <span class="n">include_binary_c_version_info</span><span class="o">=</span><span class="n">include_binary_c_version_info</span><span class="p">,</span>
+ <span class="n">include_binary_c_help_all</span><span class="o">=</span><span class="n">include_binary_c_help_all</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Copy dict</span>
+ <span class="n">all_info_cleaned</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">all_info</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">use_datadir</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"base_filename"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">base_name</span> <span class="o">=</span> <span class="s2">"simulation_</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">(),</span> <span class="s2">"%Y%m</span><span class="si">%d</span><span class="s2">_%H%M%S"</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">base_name</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">splitext</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="s2">"base_filename"</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="n">settings_name</span> <span class="o">=</span> <span class="n">base_name</span> <span class="o">+</span> <span class="s2">"_settings.json"</span>
+
+ <span class="c1"># Check directory, make if necessary</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="s2">"data_dir"</span><span class="p">],</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+ <span class="n">settings_fullname</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="s2">"data_dir"</span><span class="p">],</span> <span class="n">settings_name</span>
+ <span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Writing settings to </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">settings_fullname</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># if not outfile.endswith('json'):</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">settings_fullname</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span>
+ <span class="n">file</span><span class="o">.</span><span class="n">write</span><span class="p">(</span>
+ <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span>
+ <span class="n">all_info_cleaned</span><span class="p">,</span>
+ <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
+ <span class="n">default</span><span class="o">=</span><span class="n">binaryc_json_serializer</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="n">settings_fullname</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Writing settings to </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">outfile</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">outfile</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">"json"</span><span class="p">):</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Error: outfile (</span><span class="si">{}</span><span class="s2">) must end with .json"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">outfile</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">outfile</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span>
+ <span class="n">file</span><span class="o">.</span><span class="n">write</span><span class="p">(</span>
+ <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span>
+ <span class="n">all_info_cleaned</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="n">binaryc_json_serializer</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="n">outfile</span></div>
+
+ <span class="k">def</span> <span class="nf">_set_custom_logging</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function/routine to set all the custom logging so that the function memory pointer</span>
+<span class="sd"> is known to the grid.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># C_logging_code gets priority of C_autogen_code</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Creating and loading custom logging functionality"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"C_logging_code"</span><span class="p">]:</span>
+ <span class="c1"># Generate entire shared lib code around logging lines</span>
+ <span class="n">custom_logging_code</span> <span class="o">=</span> <span class="n">binary_c_log_code</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"C_logging_code"</span><span class="p">],</span>
+ <span class="n">verbose</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Load memory adress</span>
+ <span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"custom_logging_func_memaddr"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_custom_logging_shared_library_file"</span><span class="p">],</span>
+ <span class="p">)</span> <span class="o">=</span> <span class="n">create_and_load_logging_function</span><span class="p">(</span>
+ <span class="n">custom_logging_code</span><span class="p">,</span>
+ <span class="n">verbose</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">custom_tmp_dir</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="p">)</span>
+
+ <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"C_auto_logging"</span><span class="p">]:</span>
+ <span class="c1"># Generate real logging code</span>
+ <span class="n">logging_line</span> <span class="o">=</span> <span class="n">autogen_C_logging_code</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"C_auto_logging"</span><span class="p">],</span>
+ <span class="n">verbose</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Generate entire shared lib code around logging lines</span>
+ <span class="n">custom_logging_code</span> <span class="o">=</span> <span class="n">binary_c_log_code</span><span class="p">(</span>
+ <span class="n">logging_line</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Load memory adress</span>
+ <span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"custom_logging_func_memaddr"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_custom_logging_shared_library_file"</span><span class="p">],</span>
+ <span class="p">)</span> <span class="o">=</span> <span class="n">create_and_load_logging_function</span><span class="p">(</span>
+ <span class="n">custom_logging_code</span><span class="p">,</span>
+ <span class="n">verbose</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">custom_tmp_dir</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="p">)</span>
+ <span class="c1">###################################################</span>
+ <span class="c1"># Ensemble functions</span>
+ <span class="c1">###################################################</span>
+
+ <span class="c1"># Now they are stored in the _process_run_population thing.</span>
+ <span class="c1"># Needed less code since they all</span>
+
+ <span class="c1">###################################################</span>
+ <span class="c1"># Evolution functions</span>
+ <span class="c1">###################################################</span>
+
+ <span class="k">def</span> <span class="nf">_pre_run_cleanup</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to clean up some stuff in the grid before a run (like results, ensemble results etc)</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># empty results</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"results"</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+
+<div class="viewcode-block" id="Population.evolve"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.evolve">[docs]</a> <span class="k">def</span> <span class="nf">evolve</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Entrypoint function of the whole object. From here, based on the settings,</span>
+<span class="sd"> we set up a SLURM or CONDOR grid, or if no setting is given we go straight</span>
+<span class="sd"> to evolving the population</span>
+
+<span class="sd"> There are no direct arguments to this function, rather it is based on the grid_options settings:</span>
+<span class="sd"> grid_options['slurm']: integer boolean whether to use a slurm_grid evolution</span>
+<span class="sd"> grid_options['condor']: integer boolean whether to use a condor_grid evolution</span>
+
+<span class="sd"> If neither of the above is set, we continue without using HPC routines</span>
+<span class="sd"> (that doesn't mean this cannot be run on a server with many cores)</span>
+
+<span class="sd"> Returns an dictionary containing the analytics of the run</span>
+<span class="sd"> TODO: change the way this is done. Slurm & CONDOR should probably do this different</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Just to make sure we don't have stuff from a previous run hanging around</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_pre_run_cleanup</span><span class="p">()</span>
+
+ <span class="c1"># Check which type:</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"slurm"</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="c1"># Execute slurm subroutines</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_slurm_grid</span><span class="p">()</span>
+
+ <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"condor"</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="c1"># Execute condor subroutines</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_condor_grid</span><span class="p">()</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># Execute population evolution subroutines</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">evolve_population</span><span class="p">()</span>
+
+ <span class="c1"># Put all interesting stuff in a variable and output that afterwards, as analytics of the run.</span>
+ <span class="n">analytics_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"population_name"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_population_id"</span><span class="p">],</span>
+ <span class="s2">"evolution_type"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"evolution_type"</span><span class="p">],</span>
+ <span class="s2">"failed_count"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">],</span>
+ <span class="s2">"failed_prob"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_prob"</span><span class="p">],</span>
+ <span class="s2">"failed_systems_error_codes"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_failed_systems_error_codes"</span>
+ <span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">(),</span>
+ <span class="s2">"errors_exceeded"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_exceeded"</span><span class="p">],</span>
+ <span class="s2">"errors_found"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_found"</span><span class="p">],</span>
+ <span class="s2">"total_probability"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_probtot"</span><span class="p">],</span>
+ <span class="s2">"total_count"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_count"</span><span class="p">],</span>
+ <span class="s2">"start_timestamp"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_start_time_evolution"</span><span class="p">],</span>
+ <span class="s2">"end_timestamp"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_end_time_evolution"</span><span class="p">],</span>
+ <span class="s2">"total_mass_run"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_total_mass_run"</span><span class="p">],</span>
+ <span class="s2">"total_probability_weighted_mass_run"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_total_probability_weighted_mass_run"</span>
+ <span class="p">],</span>
+ <span class="s2">"zero_prob_stars_skipped"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'_zero_prob_stars_skipped'</span><span class="p">]</span>
+ <span class="p">}</span>
+
+ <span class="c1">##</span>
+ <span class="c1"># Clean up code: remove files, unset values, unload interpolators etc. This is placed in the general evolve function,</span>
+ <span class="c1"># because that makes for easier control</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_cleanup</span><span class="p">()</span>
+
+ <span class="k">return</span> <span class="n">analytics_dict</span></div>
+
+<div class="viewcode-block" id="Population.evolve_population"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.evolve_population">[docs]</a> <span class="k">def</span> <span class="nf">evolve_population</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to evolve populations. This handles the setting up, evolving</span>
+<span class="sd"> and cleaning up of a population of stars.</span>
+
+<span class="sd"> Choices here are:</span>
+<span class="sd"> to evolve a population via multiprocessing or linearly on 1 core.</span>
+<span class="sd"> NOT IMPLEMENTED YET to evolve a population via a variable grid, a source file or MC</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: include options for different ways of generating a population here. (i.e. MC or source file)</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Reset some settings: population_id, results, ensemble_results etc</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_population_id"</span><span class="p">]</span> <span class="o">=</span> <span class="n">uuid</span><span class="o">.</span><span class="n">uuid4</span><span class="p">()</span><span class="o">.</span><span class="n">hex</span>
+
+ <span class="c1">##</span>
+ <span class="c1"># Prepare code/initialise grid.</span>
+ <span class="c1"># set custom logging, set up store_memaddr, build grid code. dry run grid code.</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_setup</span><span class="p">()</span>
+
+ <span class="c1">##</span>
+ <span class="c1"># Evolve systems: via grid_options one can choose to do this linearly, or</span>
+ <span class="c1"># multiprocessing method.</span>
+ <span class="k">if</span> <span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"evolution_type"</span><span class="p">]</span>
+ <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_evolution_type_options"</span><span class="p">]</span>
+ <span class="p">):</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"evolution_type"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"grid"</span><span class="p">:</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_evolve_population_grid</span><span class="p">()</span>
+ <span class="c1"># elif self.grid_options["evolution_type"] == "mc":</span>
+ <span class="c1"># # TODO: add MC option</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Warning. you chose a wrong option for the grid evolution types.</span><span class="se">\</span>
+<span class="s2"> Please choose from the following: </span><span class="si">{}</span><span class="s2">."</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_evolution_type_options"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_end_time_evolution"</span><span class="p">]</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+
+ <span class="c1"># Log and print some information</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Population-</span><span class="si">{}</span><span class="s2"> finished! The total probability was: </span><span class="si">{}</span><span class="s2">. It took a total of </span><span class="si">{}</span><span class="s2">s to run </span><span class="si">{}</span><span class="s2"> systems on </span><span class="si">{}</span><span class="s2"> cores"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_population_id"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_probtot"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_end_time_evolution"</span><span class="p">]</span>
+ <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_start_time_evolution"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_total_starcount"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"amt_cores"</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_found"</span><span class="p">]:</span>
+ <span class="c1"># Some information afterwards</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"During the run </span><span class="si">{}</span><span class="s2"> failed systems were found, with a total probability of </span><span class="si">{}</span><span class="s2"> and with the following unique error codes: </span><span class="si">{}</span><span class="s2"> "</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_prob"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_systems_error_codes"</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1"># Some information afterwards</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"The full argline commands for </span><span class="si">{}</span><span class="s2"> these systems have been written to </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="s2">"ALL"</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_exceeded"</span><span class="p">]</span>
+ <span class="k">else</span> <span class="s2">"SOME (only the first ones, as there were too many to log all of them)"</span><span class="p">,</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"failed_systems_</span><span class="si">{}</span><span class="s2">_X.txt"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_population_id"</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="p">),</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"There were no errors found in this run."</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span></div>
+
+<div class="viewcode-block" id="Population.get_stream_logger"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.get_stream_logger">[docs]</a> <span class="k">def</span> <span class="nf">get_stream_logger</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="n">logging</span><span class="o">.</span><span class="n">DEBUG</span><span class="p">):</span>
+ <span class="sd">"""Return logger with configured StreamHandler."""</span>
+ <span class="n">stream_logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="s2">"stream_logger"</span><span class="p">)</span>
+ <span class="n">stream_logger</span><span class="o">.</span><span class="n">handlers</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="n">stream_logger</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">level</span><span class="p">)</span>
+ <span class="n">sh</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">StreamHandler</span><span class="p">()</span>
+ <span class="n">sh</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">level</span><span class="p">)</span>
+ <span class="n">fmt</span> <span class="o">=</span> <span class="s2">"[</span><span class="si">%(asctime)s</span><span class="s2"> </span><span class="si">%(levelname)-8s</span><span class="s2"> </span><span class="si">%(processName)s</span><span class="s2">] --- </span><span class="si">%(message)s</span><span class="s2">"</span>
+ <span class="n">formatter</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">Formatter</span><span class="p">(</span><span class="n">fmt</span><span class="p">)</span>
+ <span class="n">sh</span><span class="o">.</span><span class="n">setFormatter</span><span class="p">(</span><span class="n">formatter</span><span class="p">)</span>
+ <span class="n">stream_logger</span><span class="o">.</span><span class="n">addHandler</span><span class="p">(</span><span class="n">sh</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">stream_logger</span></div>
+
+<div class="viewcode-block" id="Population.system_queue_filler"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.system_queue_filler">[docs]</a> <span class="k">def</span> <span class="nf">system_queue_filler</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">job_queue</span><span class="p">,</span> <span class="n">amt_cores</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that is responsible for keeping the queue filled.</span>
+
+<span class="sd"> This will generate the systems until it is full, and then keeps trying to fill it.</span>
+<span class="sd"> Will have to play with the size of this.</span>
+<span class="sd"> """</span>
+
+ <span class="n">stream_logger</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_stream_logger</span><span class="p">()</span>
+ <span class="n">stream_logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s2">"setting up the system_queue_filler now"</span><span class="p">)</span>
+
+ <span class="c1"># Setup of the generator</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_generate_grid_code</span><span class="p">(</span><span class="n">dry_run</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+ <span class="bp">self</span><span class="o">.</span><span class="n">_load_grid_function</span><span class="p">()</span>
+
+ <span class="n">generator</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">](</span><span class="bp">self</span><span class="p">,</span> <span class="n">print_results</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+ <span class="c1"># TODO: build in method to handle with the HPC.</span>
+ <span class="c1"># Continously fill the queue</span>
+ <span class="k">for</span> <span class="n">system_number</span><span class="p">,</span> <span class="n">system_dict</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">generator</span><span class="p">):</span>
+ <span class="c1"># Put job in queue</span>
+ <span class="n">job_queue</span><span class="o">.</span><span class="n">put</span><span class="p">((</span><span class="n">system_number</span><span class="p">,</span> <span class="n">system_dict</span><span class="p">))</span>
+
+ <span class="c1"># Print some info</span>
+ <span class="c1"># stream_logger.debug(f"producing: {system_number}") # DEBUG</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Queue produced system </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">system_number</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">2</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Print current size</span>
+ <span class="c1"># print("Current size: {}".format(save_que.qsize()))</span>
+
+ <span class="c1"># if system_number%10==0:</span>
+ <span class="c1"># print("system_queue_filler: system_number: {}".format(system_number))</span>
+ <span class="c1"># bytes_size_Moecache = get_size(Moecache)</span>
+ <span class="c1"># print("\tsystem_queue_filler: Size moecache: {}".format(convert_bytes(bytes_size_Moecache)))</span>
+
+ <span class="c1"># bytes_size_distribution_constants = get_size(distribution_constants)</span>
+ <span class="c1"># print("\tsystem_queue_filler: Size distribution_constants: {}".format(convert_bytes(bytes_size_distribution_constants)))</span>
+
+ <span class="c1"># bytes_size_self = get_size(dir(self))</span>
+ <span class="c1"># print("\tsystem_queue_filler: Size dir(self): {}".format(convert_bytes(bytes_size_self)))</span>
+
+ <span class="c1"># Send closing signal to workers. When they receive this they will terminate</span>
+ <span class="n">stream_logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Signaling stop to processes"</span><span class="p">)</span> <span class="c1"># DEBUG</span>
+ <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">amt_cores</span><span class="p">):</span>
+ <span class="n">job_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="s2">"STOP"</span><span class="p">)</span></div>
+
+<div class="viewcode-block" id="Population.format_ensemble_results"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.format_ensemble_results">[docs]</a> <span class="k">def</span> <span class="nf">format_ensemble_results</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ensemble_dictionary</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to handle all the steps of formatting the ensemble output again.</span>
+
+<span class="sd"> Input:</span>
+<span class="sd"> ensemble_dictionary: dictionary containing all the ensemble results</span>
+<span class="sd"> """</span>
+
+ <span class="n">original_ensemble_results</span> <span class="o">=</span> <span class="n">ensemble_dictionary</span>
+
+ <span class="n">float_format_ensemble_results</span> <span class="o">=</span> <span class="n">recursive_change_key_to_float</span><span class="p">(</span><span class="n">original_ensemble_results</span><span class="p">)</span>
+ <span class="k">del</span> <span class="n">original_ensemble_results</span>
+ <span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span>
+
+ <span class="c1"># Then sort the dictionary</span>
+ <span class="n">sorted_ensemble_results</span> <span class="o">=</span> <span class="n">custom_sort_dict</span><span class="p">(</span><span class="n">float_format_ensemble_results</span><span class="p">)</span>
+ <span class="k">del</span> <span class="n">float_format_ensemble_results</span>
+ <span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span>
+
+ <span class="c1"># Then Change the keys back to a string but with a %g format.</span>
+ <span class="n">reformatted_ensemble_results</span> <span class="o">=</span> <span class="n">recursive_change_key_to_string</span><span class="p">(</span><span class="n">sorted_ensemble_results</span><span class="p">)</span>
+ <span class="k">del</span> <span class="n">sorted_ensemble_results</span>
+ <span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span>
+
+ <span class="c1"># Put back in the dictionary</span>
+ <span class="k">return</span> <span class="n">reformatted_ensemble_results</span></div>
+
+ <span class="k">def</span> <span class="nf">_evolve_population_grid</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that handles running the population using multiprocessing.</span>
+
+<span class="sd"> First we set uip the multiprocessing manager and the job and result queue.</span>
+
+<span class="sd"> Then we spawn <self.grid_options["amt_cores"]> amount of process instances,</span>
+<span class="sd"> and signal them to start.</span>
+
+<span class="sd"> While the processes are waiting for their instructions, we start the queue filler,</span>
+<span class="sd"> which goes over the gridcode and puts all the tasks in a queue until its full.</span>
+
+<span class="sd"> The processes take these jobs, evolve the and store results.</span>
+
+<span class="sd"> When all the systems have been put in the queue we pass a STOP signal</span>
+<span class="sd"> that will make the processes wrap up.</span>
+
+<span class="sd"> We read out the information in the result queue and store them in the grid object</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Set process name</span>
+ <span class="n">setproctitle</span><span class="o">.</span><span class="n">setproctitle</span><span class="p">(</span><span class="s1">'binarycpython parent process'</span><span class="p">)</span>
+ <span class="n">setproctitle</span><span class="o">.</span><span class="n">setthreadtitle</span><span class="p">(</span><span class="s2">"binarycpyhon parent thread"</span><span class="p">)</span>
+
+ <span class="c1"># Set up the manager object that can share info between processes</span>
+ <span class="n">manager</span> <span class="o">=</span> <span class="n">multiprocessing</span><span class="o">.</span><span class="n">Manager</span><span class="p">()</span>
+ <span class="n">job_queue</span> <span class="o">=</span> <span class="n">manager</span><span class="o">.</span><span class="n">Queue</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"max_queue_size"</span><span class="p">])</span>
+ <span class="n">result_queue</span> <span class="o">=</span> <span class="n">manager</span><span class="o">.</span><span class="n">Queue</span><span class="p">(</span><span class="n">maxsize</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"amt_cores"</span><span class="p">])</span>
+
+ <span class="c1"># Create process instances</span>
+ <span class="n">processes</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="k">for</span> <span class="n">ID</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"amt_cores"</span><span class="p">]):</span>
+ <span class="n">processes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="n">multiprocessing</span><span class="o">.</span><span class="n">Process</span><span class="p">(</span>
+ <span class="n">target</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_process_run_population_grid</span><span class="p">,</span>
+ <span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="n">job_queue</span><span class="p">,</span> <span class="n">result_queue</span><span class="p">,</span> <span class="n">ID</span><span class="p">),</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Activate the processes</span>
+ <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">processes</span><span class="p">:</span>
+ <span class="n">p</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+
+ <span class="c1"># Set up the system_queue</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">system_queue_filler</span><span class="p">(</span><span class="n">job_queue</span><span class="p">,</span> <span class="n">amt_cores</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"amt_cores"</span><span class="p">])</span>
+
+ <span class="c1"># Join the processes</span>
+ <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">processes</span><span class="p">:</span>
+ <span class="n">p</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
+
+ <span class="c1"># Handle the results by merging all the dictionaries. How that merging happens exactly is</span>
+ <span class="c1"># described in the merge_dicts description.</span>
+ <span class="n">combined_output_dict</span> <span class="o">=</span> <span class="n">OrderedDict</span><span class="p">()</span>
+
+ <span class="n">sentinel</span> <span class="o">=</span> <span class="nb">object</span><span class="p">()</span>
+ <span class="k">for</span> <span class="n">output_dict</span> <span class="ow">in</span> <span class="nb">iter</span><span class="p">(</span><span class="n">result_queue</span><span class="o">.</span><span class="n">get</span><span class="p">,</span> <span class="n">sentinel</span><span class="p">):</span>
+ <span class="n">combined_output_dict</span> <span class="o">=</span> <span class="n">merge_dicts</span><span class="p">(</span><span class="n">combined_output_dict</span><span class="p">,</span> <span class="n">output_dict</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">result_queue</span><span class="o">.</span><span class="n">empty</span><span class="p">():</span>
+ <span class="k">break</span>
+
+ <span class="c1"># Extra ensemble result manipulation:</span>
+ <span class="n">combined_output_dict</span><span class="p">[</span><span class="s1">'ensemble_results'</span><span class="p">][</span><span class="s1">'ensemble'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">format_ensemble_results</span><span class="p">(</span><span class="n">combined_output_dict</span><span class="p">[</span><span class="s1">'ensemble_results'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'ensemble'</span><span class="p">,</span> <span class="p">{}))</span>
+ <span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span>
+
+ <span class="c1"># Take into account that we run this on multiple cores</span>
+ <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_total_probability_weighted_mass_run"</span><span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_total_probability_weighted_mass_run"</span><span class="p">]</span>
+
+ <span class="c1"># Put the values back as object properties</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_results</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"results"</span><span class="p">]</span>
+
+ <span class="c1">#################################</span>
+ <span class="c1"># Put Ensemble results</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span>
+ <span class="s2">"ensemble_results"</span>
+ <span class="p">]</span> <span class="c1"># Ensemble results are also passed as output from that dictionary</span>
+
+ <span class="c1"># Add metadata</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span><span class="p">[</span><span class="s2">"metadata"</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span><span class="p">[</span><span class="s2">"metadata"</span><span class="p">][</span><span class="s2">"population_id"</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_population_id"</span>
+ <span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span><span class="p">[</span><span class="s2">"metadata"</span><span class="p">][</span>
+ <span class="s2">"total_probability_weighted_mass"</span>
+ <span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_total_probability_weighted_mass_run"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span><span class="p">[</span><span class="s2">"metadata"</span><span class="p">][</span><span class="s2">"factored_in_probability_weighted_mass"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'ensemble_factor_in_probability_weighted_mass'</span><span class="p">]:</span>
+ <span class="n">multiply_values_dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span><span class="p">[</span><span class="s1">'ensemble'</span><span class="p">],</span> <span class="mi">1</span><span class="o">/</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span><span class="p">[</span><span class="s2">"metadata"</span><span class="p">][</span><span class="s1">'total_probability_weighted_mass'</span><span class="p">])</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span><span class="p">[</span><span class="s2">"metadata"</span><span class="p">][</span><span class="s2">"factored_in_probability_weighted_mass"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="c1"># Add settings of the populations</span>
+ <span class="n">all_info</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">return_all_info</span><span class="p">(</span>
+ <span class="n">include_population_settings</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+ <span class="n">include_binary_c_defaults</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+ <span class="n">include_binary_c_version_info</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+ <span class="n">include_binary_c_help_all</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_ensemble_results</span><span class="p">[</span><span class="s2">"metadata"</span><span class="p">][</span><span class="s2">"settings"</span><span class="p">]</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">all_info</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="n">binaryc_json_serializer</span><span class="p">))</span>
+
+ <span class="c1">##############################</span>
+ <span class="c1"># Update grid options</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_prob"</span><span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_failed_prob"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_systems_error_codes"</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span>
+ <span class="nb">set</span><span class="p">(</span><span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_failed_systems_error_codes"</span><span class="p">])</span>
+ <span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_exceeded"</span><span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_errors_exceeded"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_found"</span><span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_errors_found"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_probtot"</span><span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_probtot"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_count"</span><span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_count"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_total_mass_run"</span><span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_total_mass_run"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_total_probability_weighted_mass_run"</span>
+ <span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s2">"_total_probability_weighted_mass_run"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'_zero_prob_stars_skipped'</span><span class="p">]</span> <span class="o">=</span> <span class="n">combined_output_dict</span><span class="p">[</span><span class="s1">'_zero_prob_stars_skipped'</span><span class="p">]</span>
+ <span class="k">def</span> <span class="nf">_evolve_system_mp</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">full_system_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that the multiprocessing evolution method calls to evolve a system</span>
+
+<span class="sd"> this function is called by _process_run_population_grid</span>
+<span class="sd"> """</span>
+
+ <span class="n">binary_cmdline_string</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_return_argline</span><span class="p">(</span><span class="n">full_system_dict</span><span class="p">)</span>
+
+ <span class="n">persistent_data_memaddr</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ensemble"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">persistent_data_memaddr</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">persistent_data_memory_dict</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">]</span>
+ <span class="c1"># print("thread {}: persistent_data_memaddr: ".format(self.process_ID), persistent_data_memaddr)</span>
+
+ <span class="c1"># Get results binary_c</span>
+ <span class="n">out</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">run_system</span><span class="p">(</span>
+ <span class="n">argstring</span><span class="o">=</span><span class="n">binary_cmdline_string</span><span class="p">,</span>
+ <span class="n">custom_logging_func_memaddr</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"custom_logging_func_memaddr"</span>
+ <span class="p">],</span>
+ <span class="n">store_memaddr</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_store_memaddr"</span><span class="p">],</span>
+ <span class="n">population</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># since this system is part of a population, we set this flag to prevent the store from being freed</span>
+ <span class="n">persistent_data_memaddr</span><span class="o">=</span><span class="n">persistent_data_memaddr</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Check for errors</span>
+ <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_check_binary_c_error</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">full_system_dict</span><span class="p">)</span>
+
+ <span class="c1"># Have some user-defined function do stuff with the data.</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"parse_function"</span><span class="p">]:</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"parse_function"</span><span class="p">](</span><span class="bp">self</span><span class="p">,</span> <span class="n">out</span><span class="p">)</span>
+
+ <span class="k">def</span> <span class="nf">_process_run_population_grid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">job_queue</span><span class="p">,</span> <span class="n">result_queue</span><span class="p">,</span> <span class="n">ID</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Worker process that gets items from the job_queue and runs those systems.</span>
+<span class="sd"> It keeps track of several things like failed systems, total time spent on systems etc.</span>
+
+<span class="sd"> Input:</span>
+<span class="sd"> job_queue: Queue object containing system dicts</span>
+<span class="sd"> result_queue: Queue where the resulting analytic dictionaries will be put in</span>
+<span class="sd"> ID: id of the worker process</span>
+
+<span class="sd"> """</span>
+
+ <span class="c1"># set start timer</span>
+ <span class="n">start_process_time</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">()</span>
+
+ <span class="c1">#</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">ID</span> <span class="c1"># Store the ID as a object property again, lets see if that works.</span>
+ <span class="p">)</span>
+
+ <span class="n">stream_logger</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_stream_logger</span><span class="p">()</span>
+ <span class="n">stream_logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Setting up processor: process-</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+
+ <span class="c1"># Set the process names</span>
+ <span class="n">name</span> <span class="o">=</span> <span class="s1">'binarycpython population thread </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">ID</span><span class="p">)</span>
+ <span class="n">name_proc</span> <span class="o">=</span> <span class="s1">'binarycpython population process </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">ID</span><span class="p">)</span>
+ <span class="n">setproctitle</span><span class="o">.</span><span class="n">setproctitle</span><span class="p">(</span><span class="n">name_proc</span><span class="p">)</span>
+ <span class="n">setproctitle</span><span class="o">.</span><span class="n">setthreadtitle</span><span class="p">(</span><span class="n">name</span><span class="p">)</span>
+
+ <span class="c1"># Set to starting up</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"process_status"</span><span class="p">,</span>
+ <span class="s2">"process_</span><span class="si">{}</span><span class="s2">.txt"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">),</span>
+ <span class="p">),</span>
+ <span class="s2">"w"</span><span class="p">,</span>
+ <span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">"STARTING"</span><span class="p">)</span>
+
+ <span class="c1"># lets try out making stores for all the grids:</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_store_memaddr"</span><span class="p">]</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">return_store_memaddr</span><span class="p">()</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Process </span><span class="si">{}</span><span class="s2"> started at </span><span class="si">{}</span><span class="s2">.</span><span class="se">\t</span><span class="s2">Using store memaddr </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">ID</span><span class="p">,</span>
+ <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="o">.</span><span class="n">isoformat</span><span class="p">(),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_store_memaddr"</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Set the ensemble memaddr</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ensemble"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="c1"># set persistent data memaddr if necessary.</span>
+ <span class="n">persistent_data_memaddr</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">return_persistent_data_memaddr</span><span class="p">()</span>
+ <span class="p">)</span>
+
+ <span class="bp">self</span><span class="o">.</span><span class="n">persistent_data_memory_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">:</span> <span class="n">persistent_data_memaddr</span>
+ <span class="p">}</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Using persistent_data memaddr: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">persistent_data_memaddr</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Set up local variables</span>
+ <span class="n">localcounter</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="mi">0</span> <span class="c1"># global counter for the whole loop. (need to be ticked every loop)</span>
+ <span class="p">)</span>
+ <span class="n">probability_of_systems_run</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="mi">0</span> <span class="c1"># counter for the probability of the actual systems this tread ran</span>
+ <span class="p">)</span>
+ <span class="n">number_of_systems_run</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="mi">0</span> <span class="c1"># counter for the actual amt of systems this thread ran</span>
+ <span class="p">)</span>
+ <span class="n">zero_prob_stars_skipped</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="n">total_time_calling_binary_c</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="n">total_mass_run</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">total_probability_weighted_mass_run</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># Go over the queue</span>
+ <span class="k">for</span> <span class="n">system_number</span><span class="p">,</span> <span class="n">system_dict</span> <span class="ow">in</span> <span class="nb">iter</span><span class="p">(</span><span class="n">job_queue</span><span class="o">.</span><span class="n">get</span><span class="p">,</span> <span class="s2">"STOP"</span><span class="p">):</span>
+ <span class="k">if</span> <span class="n">localcounter</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+
+ <span class="c1"># Set status to running</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"process_status"</span><span class="p">,</span>
+ <span class="s2">"process_</span><span class="si">{}</span><span class="s2">.txt"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">),</span>
+ <span class="p">),</span>
+ <span class="s2">"w"</span><span class="p">,</span>
+ <span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">"RUNNING"</span><span class="p">)</span>
+
+ <span class="c1"># if system_number%10==0:</span>
+ <span class="c1"># print("_process_run_population_grid: system_number: {}".format(system_number))</span>
+ <span class="c1"># bytes_size_Moecache = get_size(Moecache)</span>
+ <span class="c1"># print("\t_process_run_population_grid: Size moecache: {}".format(convert_bytes(bytes_size_Moecache)))</span>
+
+ <span class="c1"># bytes_size_distribution_constants = get_size(distribution_constants)</span>
+ <span class="c1"># print("\t_process_run_population_grid: Size distribution_constants: {}".format(convert_bytes(bytes_size_distribution_constants)))</span>
+
+ <span class="c1"># bytes_size_self = get_size(dir(self))</span>
+ <span class="c1"># print("\t_process_run_population_grid: Size dir(self): {}".format(convert_bytes(bytes_size_self)))</span>
+
+
+ <span class="c1"># Combine that with the other settings</span>
+ <span class="n">full_system_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+ <span class="n">full_system_dict</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">system_dict</span><span class="p">)</span>
+
+ <span class="c1"># In the first system, explicitly check all the keys that are passed to see if</span>
+ <span class="c1"># they match the keys known to binary_c.</span>
+ <span class="c1"># Won't do that every system cause that is a bit of a waste of computing time.</span>
+ <span class="k">if</span> <span class="n">number_of_systems_run</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="c1"># TODO: Put this someplace else and wrap in a functioncall</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">full_system_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">key</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">available_keys</span><span class="p">:</span>
+ <span class="c1"># Deal with special keys</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">any</span><span class="p">(</span>
+ <span class="p">[</span>
+ <span class="kc">True</span>
+ <span class="k">if</span> <span class="p">(</span>
+ <span class="n">key</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="n">param</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span>
+ <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">param</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span> <span class="o"><</span> <span class="nb">len</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">else</span> <span class="kc">False</span>
+ <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">special_params</span>
+ <span class="p">]</span>
+ <span class="p">):</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Error: Found a parameter unknown to binary_c: </span><span class="si">{}</span><span class="s2">. Abort"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># self._print_info(</span>
+ <span class="c1"># i + 1, self.grid_options["_total_starcount"], full_system_dict</span>
+ <span class="c1"># )</span>
+
+ <span class="c1">#</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Process </span><span class="si">{}</span><span class="s2"> is handling system </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">ID</span><span class="p">,</span> <span class="n">system_number</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">2</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># In some cases, the whole run crashes. To be able to figure out which system</span>
+ <span class="c1"># that was on, we log each current system to a file (each thread has one).</span>
+ <span class="c1"># Each new system overrides the previous</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"current_system"</span><span class="p">,</span>
+ <span class="s2">"process_</span><span class="si">{}</span><span class="s2">.txt"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">),</span>
+ <span class="p">),</span>
+ <span class="s2">"w"</span><span class="p">,</span>
+ <span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">binary_cmdline_string</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_return_argline</span><span class="p">(</span><span class="n">full_system_dict</span><span class="p">)</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">binary_cmdline_string</span><span class="p">)</span>
+
+ <span class="n">start_runtime_binary_c</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+
+ <span class="c1"># If we want to actually evolve the systems</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_actually_evolve_system"</span><span class="p">]:</span>
+ <span class="n">run_system</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="c1"># Check option to ignore 0 probability systems</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"run_zero_probability_system"</span><span class="p">]:</span>
+ <span class="k">if</span> <span class="n">full_system_dict</span><span class="p">[</span><span class="s1">'probability'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">run_system</span> <span class="o">=</span> <span class="kc">False</span>
+ <span class="n">zero_prob_stars_skipped</span> <span class="o">+=</span> <span class="mi">1</span>
+
+ <span class="k">if</span> <span class="n">run_system</span><span class="p">:</span>
+ <span class="c1"># Evolve the system</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_evolve_system_mp</span><span class="p">(</span><span class="n">full_system_dict</span><span class="p">)</span>
+
+ <span class="n">end_runtime_binary_c</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+
+ <span class="n">total_time_calling_binary_c</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">end_runtime_binary_c</span> <span class="o">-</span> <span class="n">start_runtime_binary_c</span>
+ <span class="p">)</span> <span class="c1"># keep track of total binary_c call time</span>
+
+ <span class="c1"># Debug line: logging all the lines</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"log_runtime_systems"</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"runtime_systems"</span><span class="p">,</span>
+ <span class="s2">"process_</span><span class="si">{}</span><span class="s2">.txt"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">),</span>
+ <span class="p">),</span>
+ <span class="s2">"a+"</span><span class="p">,</span>
+ <span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">binary_cmdline_string</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_return_argline</span><span class="p">(</span><span class="n">full_system_dict</span><span class="p">)</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span>
+ <span class="s2">"</span><span class="si">{}</span><span class="s2"> </span><span class="si">{}</span><span class="s2"> '</span><span class="si">{}</span><span class="s2">'</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">start_runtime_binary_c</span><span class="p">,</span>
+ <span class="n">end_runtime_binary_c</span> <span class="o">-</span> <span class="n">start_runtime_binary_c</span><span class="p">,</span>
+ <span class="n">binary_cmdline_string</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Keep track of systems:</span>
+ <span class="n">probability_of_systems_run</span> <span class="o">+=</span> <span class="n">full_system_dict</span><span class="p">[</span><span class="s2">"probability"</span><span class="p">]</span>
+ <span class="n">number_of_systems_run</span> <span class="o">+=</span> <span class="mi">1</span>
+ <span class="n">localcounter</span> <span class="o">+=</span> <span class="mi">1</span>
+
+ <span class="c1"># Tally up some numbers</span>
+ <span class="n">total_mass_system</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">full_system_dict</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_1"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+ <span class="o">+</span> <span class="n">full_system_dict</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_2"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+ <span class="o">+</span> <span class="n">full_system_dict</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_3"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+ <span class="o">+</span> <span class="n">full_system_dict</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"M_4"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">total_mass_run</span> <span class="o">+=</span> <span class="n">total_mass_system</span>
+ <span class="n">total_probability_weighted_mass_run</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">total_mass_system</span> <span class="o">*</span> <span class="n">full_system_dict</span><span class="p">[</span><span class="s2">"probability"</span><span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Set status to finishing</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"process_status"</span><span class="p">,</span>
+ <span class="s2">"process_</span><span class="si">{}</span><span class="s2">.txt"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">),</span>
+ <span class="p">),</span>
+ <span class="s2">"w"</span><span class="p">,</span>
+ <span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">"FINISHING"</span><span class="p">)</span>
+ <span class="n">stream_logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Process-</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="si">}</span><span class="s2"> is finishing."</span><span class="p">)</span>
+
+ <span class="c1"># Handle ensemble output: is ensemble==1, then either directly write that data to a file, or combine everything into 1 file.</span>
+ <span class="n">ensemble_json</span> <span class="o">=</span> <span class="p">{}</span> <span class="c1"># Make sure it exists already</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ensemble"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Process </span><span class="si">{}</span><span class="s2">: is freeing ensemble output (using persisten_data memaddr </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">ID</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">persistent_data_memory_dict</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">2</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">ensemble_raw_output</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">free_persistent_data_memaddr_and_return_json_output</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">persistent_data_memory_dict</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">if</span> <span class="n">ensemble_raw_output</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Process </span><span class="si">{}</span><span class="s2">: Warning! Ensemble output is empty. "</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">ID</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"combine_ensemble_with_thread_joining"</span><span class="p">]</span> <span class="ow">is</span> <span class="kc">True</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Process </span><span class="si">{}</span><span class="s2">: Extracting ensemble info from raw string"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">ID</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">2</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">ensemble_json</span><span class="p">[</span><span class="s2">"ensemble"</span><span class="p">]</span> <span class="o">=</span> <span class="n">extract_ensemble_json_from_string</span><span class="p">(</span>
+ <span class="n">ensemble_raw_output</span>
+ <span class="p">)</span> <span class="c1"># Load this into a dict so that we can combine it later</span>
+
+ <span class="c1"># Extra ensemble result manipulation:</span>
+ <span class="c1"># We need to reformat and multiply by a factor</span>
+ <span class="n">ensemble_json</span><span class="p">[</span><span class="s2">"ensemble"</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">format_ensemble_results</span><span class="p">(</span><span class="n">ensemble_json</span><span class="p">[</span><span class="s2">"ensemble"</span><span class="p">])</span>
+ <span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># If we do not allow this, automatically we will export this to the data_dir, in</span>
+ <span class="c1"># some formatted way</span>
+ <span class="n">output_file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="s2">"data_dir"</span><span class="p">],</span>
+ <span class="s2">"ensemble_output_</span><span class="si">{}</span><span class="s2">_</span><span class="si">{}</span><span class="s2">.json"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_population_id"</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Write to file</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">output_file</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">ensemble_raw_output</span><span class="p">)</span>
+
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Thread </span><span class="si">{}</span><span class="s2">: Wrote ensemble results directly to file: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">,</span> <span class="n">output_file</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1"># free store mem:</span>
+ <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">free_store_memaddr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_store_memaddr"</span><span class="p">])</span>
+
+ <span class="c1"># Return a set of results and errors</span>
+ <span class="n">output_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"results"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_results</span><span class="p">,</span>
+ <span class="s2">"ensemble_results"</span><span class="p">:</span> <span class="n">ensemble_json</span><span class="p">,</span>
+ <span class="s2">"_failed_count"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">],</span>
+ <span class="s2">"_failed_prob"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_prob"</span><span class="p">],</span>
+ <span class="s2">"_failed_systems_error_codes"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_failed_systems_error_codes"</span>
+ <span class="p">],</span>
+ <span class="s2">"_errors_exceeded"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_exceeded"</span><span class="p">],</span>
+ <span class="s2">"_errors_found"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_found"</span><span class="p">],</span>
+ <span class="s2">"_probtot"</span><span class="p">:</span> <span class="n">probability_of_systems_run</span><span class="p">,</span>
+ <span class="s2">"_count"</span><span class="p">:</span> <span class="n">number_of_systems_run</span><span class="p">,</span>
+ <span class="s2">"_total_mass_run"</span><span class="p">:</span> <span class="n">total_mass_run</span><span class="p">,</span>
+ <span class="s2">"_total_probability_weighted_mass_run"</span><span class="p">:</span> <span class="n">total_probability_weighted_mass_run</span><span class="p">,</span>
+ <span class="s2">"_zero_prob_stars_skipped"</span><span class="p">:</span> <span class="n">zero_prob_stars_skipped</span><span class="p">,</span>
+ <span class="p">}</span>
+
+ <span class="n">end_process_time</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">()</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Process </span><span class="si">{}</span><span class="s2"> finished:</span><span class="se">\n\t</span><span class="s2">generator started at </span><span class="si">{}</span><span class="s2">, done at </span><span class="si">{}</span><span class="s2"> (total: </span><span class="si">{}</span><span class="s2">s of which </span><span class="si">{}</span><span class="s2">s interfacing with binary_c).</span><span class="se">\n\t</span><span class="s2">Ran </span><span class="si">{}</span><span class="s2"> systems with a total probability of </span><span class="si">{}</span><span class="s2">.</span><span class="se">\n\t</span><span class="s2">This thread had </span><span class="si">{}</span><span class="s2"> failing systems with a total probability of </span><span class="si">{}</span><span class="s2">.</span><span class="se">\n\t</span><span class="s2">Skipped a total of </span><span class="si">{}</span><span class="s2"> systems because they had 0 probability"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">ID</span><span class="p">,</span>
+ <span class="n">start_process_time</span><span class="o">.</span><span class="n">isoformat</span><span class="p">(),</span>
+ <span class="n">end_process_time</span><span class="o">.</span><span class="n">isoformat</span><span class="p">(),</span>
+ <span class="p">(</span><span class="n">end_process_time</span> <span class="o">-</span> <span class="n">start_process_time</span><span class="p">)</span><span class="o">.</span><span class="n">total_seconds</span><span class="p">(),</span>
+ <span class="n">total_time_calling_binary_c</span><span class="p">,</span>
+ <span class="n">number_of_systems_run</span><span class="p">,</span>
+ <span class="n">probability_of_systems_run</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_prob"</span><span class="p">],</span>
+ <span class="n">zero_prob_stars_skipped</span><span class="p">,</span>
+
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Write summary</span>
+ <span class="n">summary_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"population_id"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_population_id"</span><span class="p">],</span>
+ <span class="s2">"process_id"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">,</span>
+ <span class="s2">"start_process_time"</span><span class="p">:</span> <span class="n">start_process_time</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(),</span>
+ <span class="s2">"end_process_time"</span><span class="p">:</span> <span class="n">end_process_time</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(),</span>
+ <span class="s2">"total_time_calling_binary_c"</span><span class="p">:</span> <span class="n">total_time_calling_binary_c</span><span class="p">,</span>
+ <span class="s2">"number_of_systems_run"</span><span class="p">:</span> <span class="n">number_of_systems_run</span><span class="p">,</span>
+ <span class="s2">"probability_of_systems_run"</span><span class="p">:</span> <span class="n">probability_of_systems_run</span><span class="p">,</span>
+ <span class="s2">"failed_systems"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">],</span>
+ <span class="s2">"failed_probability"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_prob"</span><span class="p">],</span>
+ <span class="s2">"failed_system_error_codes"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_failed_systems_error_codes"</span>
+ <span class="p">],</span>
+ <span class="s2">"zero_prob_stars_skipped"</span><span class="p">:</span> <span class="n">zero_prob_stars_skipped</span><span class="p">,</span>
+ <span class="p">}</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"process_summary"</span><span class="p">,</span>
+ <span class="s2">"process_</span><span class="si">{}</span><span class="s2">.json"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">),</span>
+ <span class="p">),</span>
+ <span class="s2">"w"</span><span class="p">,</span>
+ <span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">summary_dict</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+ <span class="c1"># Set status to running</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"process_status"</span><span class="p">,</span>
+ <span class="s2">"process_</span><span class="si">{}</span><span class="s2">.txt"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">),</span>
+ <span class="p">),</span>
+ <span class="s2">"w"</span><span class="p">,</span>
+ <span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">"FINISHED"</span><span class="p">)</span>
+
+ <span class="n">result_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">output_dict</span><span class="p">)</span>
+ <span class="n">stream_logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Process-</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="si">}</span><span class="s2"> is finished."</span><span class="p">)</span>
+
+ <span class="c1"># Clean up the interpolators if they exist</span>
+
+ <span class="c1"># TODO: make a cleanup function for the individual threads</span>
+ <span class="c1"># TODO: make sure this is necessary. Actually its probably not, because we have a centralized queue</span>
+
+ <span class="k">return</span>
+
+ <span class="c1"># Single system</span>
+<div class="viewcode-block" id="Population.evolve_single"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.evolve_single">[docs]</a> <span class="k">def</span> <span class="nf">evolve_single</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">clean_up_custom_logging_files</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span> <span class="o">-></span> <span class="n">Any</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to run a single system, based on the settings in the grid_options</span>
+
+<span class="sd"> The output of the run gets returned, unless a parse function is given to this function.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> clean_up_custom_logging_files: whether the clean up all the custom_logging files.</span>
+
+<span class="sd"> returns:</span>
+<span class="sd"> either returns the raw binary_c output, or whatever the parse_function does</span>
+<span class="sd"> """</span>
+
+ <span class="c1">### Custom logging code:</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_set_custom_logging</span><span class="p">()</span>
+
+ <span class="c1"># Get argument line</span>
+ <span class="n">argline</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_return_argline</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span><span class="s2">"Running </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">argline</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+
+ <span class="c1"># Run system</span>
+ <span class="n">out</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">run_system</span><span class="p">(</span>
+ <span class="n">argstring</span><span class="o">=</span><span class="n">argline</span><span class="p">,</span>
+ <span class="n">custom_logging_func_memaddr</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"custom_logging_func_memaddr"</span>
+ <span class="p">],</span>
+ <span class="n">store_memaddr</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_store_memaddr"</span><span class="p">],</span>
+ <span class="n">population</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># TODO: add call to function that cleans up the temp customlogging dir,</span>
+ <span class="c1"># and unloads the loaded libraries.</span>
+ <span class="c1"># TODO: make a switch to turn this off</span>
+
+ <span class="k">if</span> <span class="n">clean_up_custom_logging_files</span><span class="p">:</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_clean_up_custom_logging</span><span class="p">(</span><span class="n">evol_type</span><span class="o">=</span><span class="s2">"single"</span><span class="p">)</span>
+
+ <span class="c1"># Parse</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"parse_function"</span><span class="p">]:</span>
+ <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"parse_function"</span><span class="p">](</span><span class="bp">self</span><span class="p">,</span> <span class="n">out</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">out</span></div>
+
+ <span class="k">def</span> <span class="nf">_setup</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to set up the necessary stuff for the population evolution.</span>
+
+<span class="sd"> The idea is to do all the stuff that is necessary for a population to run.</span>
+<span class="sd"> Since we have different methods of running a population, this setup function</span>
+<span class="sd"> will do different things depending on different settings</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> TODO: Make other kinds of populations possible. i.e, read out type of grid,</span>
+<span class="sd"> and set up accordingly</span>
+<span class="sd"> TODO: make this function more general. Have it explicitly set the system_generator</span>
+<span class="sd"> function</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Make sure the subdirs of the tmp dir exist:</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"failed_systems"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span>
+ <span class="p">)</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"current_system"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span>
+ <span class="p">)</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"process_status"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span>
+ <span class="p">)</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"process_summary"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span>
+ <span class="p">)</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"runtime_systems"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Check for parse function</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"parse_function"</span><span class="p">]:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Warning: No parse function set. Make sure you intended to do this."</span><span class="p">)</span>
+
+ <span class="c1"># #######################</span>
+ <span class="c1"># ### Custom logging code:</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_set_custom_logging</span><span class="p">()</span>
+
+ <span class="c1"># ### Load store: Make sure this actually works.</span>
+
+ <span class="c1">### ensemble: make some checks for this</span>
+ <span class="c1">## check the settings and set all the warnings.</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ensemble"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ensemble_defer"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Error, if you want to run an ensemble in a population, the output needs to be deferred. Please set 'ensemble_defer' to 1"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">any</span><span class="p">(</span>
+ <span class="p">[</span><span class="n">key</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"ensemble_filter_"</span><span class="p">)</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="p">]</span>
+ <span class="p">):</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Warning: Running the ensemble without any filter requires alot of available RAM"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ensemble_filters_off"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Warning: Running the ensemble without any filter requires alot of available RAM"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"combine_ensemble_with_thread_joining"</span><span class="p">]</span> <span class="o">==</span> <span class="kc">False</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"data_dir"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Error: chosen to write the ensemble output directly to files but data_dir isnt set"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="c1"># Check which type of population generation</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"evolution_type"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"grid"</span><span class="p">:</span>
+ <span class="c1">#######################</span>
+ <span class="c1"># Dry run and getting starcount</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_probtot"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># Put in check</span>
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">])</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Error: you havent defined any grid variables! Aborting"</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="c1"># Set up the grid code with a dry run option to see total probability</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_generate_grid_code</span><span class="p">(</span><span class="n">dry_run</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+ <span class="c1"># Load the grid code</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_load_grid_function</span><span class="p">()</span>
+
+ <span class="c1"># Do a dry run</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_dry_run</span><span class="p">()</span>
+
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Total starcount for this run will be: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_total_starcount"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1">#######################</span>
+ <span class="c1"># Reset values and prepare the grid function</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_probtot"</span>
+ <span class="p">]</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># To make sure that the values are reset. TODO: fix this in a cleaner way</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_start_time_evolution"</span>
+ <span class="p">]</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="c1"># Setting start time of grid</span>
+
+ <span class="c1"># # Making sure the loaded grid code isn't lingering in the main PID</span>
+ <span class="c1"># self._generate_grid_code(dry_run=False)</span>
+
+ <span class="c1"># #</span>
+ <span class="c1"># self._load_grid_function()</span>
+
+ <span class="c1">#</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+
+ <span class="c1"># Source file</span>
+ <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"evolution_type"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"source_file"</span><span class="p">:</span>
+ <span class="c1">#######################</span>
+ <span class="c1"># Dry run and getting starcount</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_probtot"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># Load the grid code</span>
+ <span class="c1"># TODO: fix this function</span>
+ <span class="c1"># self._load_source_file_function()</span>
+
+ <span class="c1"># Do a dry run</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_dry_run_source_file</span><span class="p">()</span>
+
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Total starcount for this run will be: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_total_starcount"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1">#######################</span>
+ <span class="c1"># Reset values and prepare the grid function</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_probtot"</span>
+ <span class="p">]</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># To make sure that the values are reset. TODO: fix this in a cleaner way</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span>
+ <span class="s2">"_start_time_evolution"</span>
+ <span class="p">]</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="c1"># Setting start time of grid</span>
+
+ <span class="c1">#</span>
+ <span class="c1"># TODO: fix this function</span>
+ <span class="c1"># self._load_source_file_function()</span>
+ <span class="c1"># self._load_source_file_function(dry_run=False)</span>
+
+ <span class="c1">#</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_load_grid_function</span><span class="p">()</span>
+
+ <span class="k">def</span> <span class="nf">_cleanup</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that handles all the cleaning up after the grid has been generated and/or run</span>
+
+<span class="sd"> - reset values to 0</span>
+<span class="sd"> - remove grid file</span>
+<span class="sd"> - unload grid function/module</span>
+<span class="sd"> - remove dry grid file</span>
+<span class="sd"> - unload dry grid function/module</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Reset values</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_count"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_probtot"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_prob"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_found"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_exceeded"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_systems_error_codes"</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_total_mass_run"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_total_probability_weighted_mass_run"</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># Remove files</span>
+ <span class="c1"># TODO: remove files</span>
+
+ <span class="c1"># Unload functions</span>
+ <span class="c1"># TODO: unload functions</span>
+
+ <span class="c1"># Unload/free custom_logging_code</span>
+ <span class="c1"># TODO: cleanup custom logging code.</span>
+
+ <span class="c1"># Also remove the rest of the contents</span>
+ <span class="n">keys_moecache</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">Moecache</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys_moecache</span><span class="p">:</span>
+ <span class="k">del</span> <span class="n">Moecache</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1">###################################################</span>
+ <span class="c1"># Gridcode functions</span>
+ <span class="c1">#</span>
+ <span class="c1"># Function below are used to run populations with</span>
+ <span class="c1"># a variable grid</span>
+ <span class="c1">###################################################</span>
+
+ <span class="k">def</span> <span class="nf">_generate_grid_code</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dry_run</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that generates the code from which the population will be made.</span>
+
+<span class="sd"> dry_run: when True, it will return the starcount at the end so that we know</span>
+<span class="sd"> what the total amount of systems is.</span>
+
+<span class="sd"> The phasevol values are handled by generating a second array</span>
+
+<span class="sd"> # TODO: Add correct logging everywhere</span>
+<span class="sd"> # TODO: add part to handle separation if orbital_period is added. Idea. use default values</span>
+<span class="sd"> # for orbital parameters and possibly overwrite those or something.</span>
+<span class="sd"> # TODO: add centering center left right for the spacing.</span>
+<span class="sd"> # TODO: add sensible description to this function.</span>
+<span class="sd"> # TODO: Check whether all the probability and phasevol values are correct.</span>
+<span class="sd"> # TODO: import only the necessary packages/functions</span>
+<span class="sd"> # TODO: Put all the masses, eccentricities and periods in there already</span>
+<span class="sd"> # TODO: Put the certain blocks that are repeated in some subfunctions</span>
+<span class="sd"> # TODO: make sure running systems with multicplity 3+ is also possible.</span>
+
+<span class="sd"> Results in a generated file that contains a system_generator function.</span>
+<span class="sd"> """</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span><span class="s2">"Generating grid code"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+
+ <span class="c1"># Some local values</span>
+ <span class="n">code_string</span> <span class="o">=</span> <span class="s2">""</span>
+ <span class="n">depth</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">indent</span> <span class="o">=</span> <span class="s2">" "</span>
+ <span class="n">total_grid_variables</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">])</span>
+
+ <span class="c1"># Import packages</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"import math</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"import numpy as np</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"from collections import OrderedDict</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"from binarycpython.utils.distribution_functions import *</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"from binarycpython.utils.spacing_functions import *</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"from binarycpython.utils.useful_funcs import *</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"</span><span class="se">\n\n</span><span class="s2">"</span>
+
+ <span class="c1"># Make the function</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"def grid_code(self, print_results=True):</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1"># Increase depth</span>
+ <span class="n">depth</span> <span class="o">+=</span> <span class="mi">1</span>
+
+ <span class="c1"># Write some info in the function</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span>
+ <span class="o">+</span> <span class="s2">"# Grid code generated on </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="o">.</span><span class="n">isoformat</span><span class="p">()</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span>
+ <span class="o">+</span> <span class="s2">"# This function generates the systems that will be evolved with binary_c</span><span class="se">\n\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Set some values in the generated code:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"# Setting initial values</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"_total_starcount = 0</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"starcounts = [0 for i in range(</span><span class="si">{}</span><span class="s2">)]</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">total_grid_variables</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"probabilities = </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span>
+ <span class="o">+</span> <span class="s2">"probabilities_list = [0 for i in range(</span><span class="si">{}</span><span class="s2">)]</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">total_grid_variables</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span>
+ <span class="o">+</span> <span class="s2">"probabilities_sum = [0 for i in range(</span><span class="si">{}</span><span class="s2">)]</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">total_grid_variables</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"parameter_dict = </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"phasevol = 1</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1"># Setting up the system parameters</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"M_1 = None</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"M_2 = None</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"M_3 = None</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"M_4 = None</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"orbital_period = None</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"orbital_period_triple = None</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"orbital_period_quadruple = None</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"eccentricity = None</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"eccentricity2 = None</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"eccentricity3 = None</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1"># Prepare the probability</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"# setting probability lists</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="k">for</span> <span class="n">grid_variable_el</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">]</span><span class="o">.</span><span class="n">items</span><span class="p">(),</span>
+ <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="s2">"grid_variable_number"</span><span class="p">],</span>
+ <span class="p">):</span>
+ <span class="c1"># Make probabilities dict</span>
+ <span class="n">grid_variable</span> <span class="o">=</span> <span class="n">grid_variable_el</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s1">'probabilities["</span><span class="si">{}</span><span class="s1">"] = 0</span><span class="se">\n</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"parameter_name"</span><span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1">#################################################################################</span>
+ <span class="c1"># Start of code generation</span>
+ <span class="c1">#################################################################################</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="c1"># Generate code</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Generating grid code"</span><span class="p">)</span>
+ <span class="k">for</span> <span class="n">loopnr</span><span class="p">,</span> <span class="n">grid_variable_el</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span>
+ <span class="nb">sorted</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">]</span><span class="o">.</span><span class="n">items</span><span class="p">(),</span>
+ <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="s2">"grid_variable_number"</span><span class="p">],</span>
+ <span class="p">)</span>
+ <span class="p">):</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Constructing/adding: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable_el</span><span class="p">[</span><span class="mi">0</span><span class="p">]))</span>
+ <span class="n">grid_variable</span> <span class="o">=</span> <span class="n">grid_variable_el</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+ <span class="c1">#########################</span>
+ <span class="c1"># Setting up the forloop</span>
+ <span class="c1"># Add comment for forloop</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span>
+ <span class="o">+</span> <span class="s2">"# for loop for </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"parameter_name"</span><span class="p">])</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span>
+ <span class="o">+</span> <span class="s2">"sampled_values_</span><span class="si">{}</span><span class="s2"> = </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span> <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"spacingfunc"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># TODO: Make clear that the phasevol only works good</span>
+ <span class="c1"># TODO: add option to ignore this phasevol calculation and set it to 1</span>
+ <span class="c1"># if you sample linearly in that thing.</span>
+ <span class="c1"># if phasevol is <= 0 then we SKIP that whole loop. Its not working then.</span>
+ <span class="k">if</span> <span class="p">(</span>
+ <span class="ow">not</span> <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"dphasevol"</span><span class="p">]</span> <span class="o">==</span> <span class="o">-</span><span class="mi">1</span>
+ <span class="p">):</span> <span class="c1"># A method to turn off this calculation and allow a phasevol = 1</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span>
+ <span class="o">+</span> <span class="s2">"phasevol_</span><span class="si">{}</span><span class="s2"> = sampled_values_</span><span class="si">{}</span><span class="s2">[1]-sampled_values_</span><span class="si">{}</span><span class="s2">[0]"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span> <span class="o">+</span> <span class="s2">"phasevol_</span><span class="si">{}</span><span class="s2"> = 1</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1"># # Some print statement</span>
+ <span class="c1"># code_string += (</span>
+ <span class="c1"># indent * depth</span>
+ <span class="c1"># + "print('phasevol_{}:', phasevol_{})".format(grid_variable["name"],</span>
+ <span class="c1"># grid_variable["name"])</span>
+ <span class="c1"># + "\n"</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># Adding for loop structure</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="n">depth</span>
+ <span class="o">+</span> <span class="s2">"for </span><span class="si">{}</span><span class="s2"> in sampled_values_</span><span class="si">{}</span><span class="s2">:"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span> <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1">#################################################################################</span>
+ <span class="c1"># Check condition and generate forloop</span>
+
+ <span class="c1"># If the grid variable has a condition, write the check and the action</span>
+ <span class="k">if</span> <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"condition"</span><span class="p">]:</span>
+ <span class="c1"># Add comment</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"# Condition for </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"parameter_name"</span><span class="p">])</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add condition check</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"if not </span><span class="si">{}</span><span class="s2">:"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"condition"</span><span class="p">])</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add condition failed action:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s1">'print("Grid generator: Condition for </span><span class="si">{}</span><span class="s1"> not met!")'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"parameter_name"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"continue"</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1"># Add some whiteline</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1">##############3</span>
+ <span class="c1"># Add phasevol check:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"if phasevol_</span><span class="si">{}</span><span class="s2"> <= 0:"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add phasevol check action:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s1">'print("Grid generator: phasevol_</span><span class="si">{}</span><span class="s1"> <= 0!")'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"continue"</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1"># Add some whiteline</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1">#########################</span>
+ <span class="c1"># Setting up pre-code and value in some cases</span>
+ <span class="c1"># Add pre-code</span>
+ <span class="k">if</span> <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"precode"</span><span class="p">]:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"precode"</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">,</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Set phasevol</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"phasevol *= phasevol_</span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span>
+ <span class="p">)</span>
+
+ <span class="c1">#######################</span>
+ <span class="c1"># Probabilities</span>
+ <span class="c1"># Calculate probability</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"# Setting probabilities</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"d</span><span class="si">{}</span><span class="s2"> = phasevol_</span><span class="si">{}</span><span class="s2"> * (</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"probdist"</span><span class="p">],</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Saving probability sum</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"probabilities_sum[</span><span class="si">{}</span><span class="s2">] += d</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"grid_variable_number"</span><span class="p">],</span> <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"grid_variable_number"</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"probabilities_list[0] = d</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"probabilities_list[</span><span class="si">{}</span><span class="s2">] = probabilities_list[</span><span class="si">{}</span><span class="s2">] * d</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"grid_variable_number"</span><span class="p">],</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"grid_variable_number"</span><span class="p">]</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">],</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1">#######################</span>
+ <span class="c1"># Increment starcount for this parameter</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span>
+ <span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span>
+ <span class="p">)</span> <span class="o">+</span> <span class="s2">"# Increment starcount for </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"parameter_name"</span><span class="p">])</span>
+
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"starcounts[</span><span class="si">{}</span><span class="s2">] += 1"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"grid_variable_number"</span><span class="p">],</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add value to dict</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s1">'parameter_dict["</span><span class="si">{}</span><span class="s1">"] = </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"parameter_name"</span><span class="p">],</span> <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"parameter_name"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add some space</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1"># The final parts of the code, where things are returned, are within the deepest loop,</span>
+ <span class="c1"># but in some cases code from a higher loop needs to go under it again</span>
+ <span class="c1"># SO I think its better to put an ifstatement here that checks</span>
+ <span class="c1"># whether this is the last loop.</span>
+ <span class="k">if</span> <span class="n">loopnr</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">])</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
+
+ <span class="n">code_string</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_write_gridcode_system_call</span><span class="p">(</span>
+ <span class="n">code_string</span><span class="p">,</span>
+ <span class="n">indent</span><span class="p">,</span>
+ <span class="n">depth</span><span class="p">,</span>
+ <span class="n">grid_variable</span><span class="p">,</span>
+ <span class="n">dry_run</span><span class="p">,</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"branchpoint"</span><span class="p">],</span>
+ <span class="p">)</span>
+
+ <span class="c1"># increment depth</span>
+ <span class="n">depth</span> <span class="o">+=</span> <span class="mi">1</span>
+
+ <span class="n">depth</span> <span class="o">-=</span> <span class="mi">1</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1"># Write parts to write below the part that yield the results.</span>
+ <span class="c1"># this has to go in a reverse order:</span>
+ <span class="c1"># Here comes the stuff that is put after the deepest nested part that calls returns stuff.</span>
+ <span class="c1"># Here we will have a</span>
+ <span class="n">reverse_sorted_grid_variables</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">]</span><span class="o">.</span><span class="n">items</span><span class="p">(),</span>
+ <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="s2">"grid_variable_number"</span><span class="p">],</span>
+ <span class="n">reverse</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">for</span> <span class="n">loopnr</span><span class="p">,</span> <span class="n">grid_variable_el</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">reverse_sorted_grid_variables</span><span class="p">):</span>
+ <span class="n">grid_variable</span> <span class="o">=</span> <span class="n">grid_variable_el</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"#"</span> <span class="o">*</span> <span class="mi">40</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"# Code below is for finalising the handling of this iteration of the parameter </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Set phasevol</span>
+ <span class="c1"># TODO: fix. this isnt supposed to be the value that we give it here. discuss</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"phasevol /= phasevol_</span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="n">depth</span> <span class="o">-=</span> <span class="mi">1</span>
+
+ <span class="c1"># Check the branchpoint part here. The branchpoint makes sure that we can construct</span>
+ <span class="c1"># a grid with several multiplicities and still can make the system calls for each</span>
+ <span class="c1"># multiplicity without reconstructing the grid each time</span>
+ <span class="k">if</span> <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"branchpoint"</span><span class="p">]</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+
+ <span class="c1"># Add comment</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"# Condition for branchpoint at </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">reverse_sorted_grid_variables</span><span class="p">[</span><span class="n">loopnr</span> <span class="o">+</span> <span class="mi">1</span><span class="p">][</span><span class="mi">1</span><span class="p">][</span><span class="s2">"parameter_name"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># # Add condition check</span>
+ <span class="c1"># code_string += (</span>
+ <span class="c1"># indent * (depth + 1)</span>
+ <span class="c1"># + "if not {}:".format(grid_variable["condition"])</span>
+ <span class="c1"># + "\n"</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># Add branchpoint</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"if multiplicity==</span><span class="si">{}</span><span class="s2">:"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"branchpoint"</span><span class="p">])</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="n">code_string</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_write_gridcode_system_call</span><span class="p">(</span>
+ <span class="n">code_string</span><span class="p">,</span>
+ <span class="n">indent</span><span class="p">,</span>
+ <span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span>
+ <span class="n">reverse_sorted_grid_variables</span><span class="p">[</span><span class="n">loopnr</span> <span class="o">+</span> <span class="mi">1</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="n">dry_run</span><span class="p">,</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"branchpoint"</span><span class="p">],</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1">################</span>
+ <span class="c1"># Finalising print statements</span>
+ <span class="c1">#</span>
+ <span class="c1"># code_string += indent * (depth + 1) + "\n"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"#"</span> <span class="o">*</span> <span class="mi">40</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"if print_results:</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"print('Grid has handled </span><span class="si">{}</span><span class="s2"> stars'.format(_total_starcount))</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"print('with a total probability of </span><span class="si">{}</span><span class="s2">'.format(self.grid_options['_probtot']))</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1">################</span>
+ <span class="c1"># Finalising return statement for dry run.</span>
+ <span class="c1">#</span>
+ <span class="k">if</span> <span class="n">dry_run</span><span class="p">:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"return _total_starcount</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1">#################################################################################</span>
+ <span class="c1"># Stop of code generation. Here the code is saved and written</span>
+
+ <span class="c1"># Save the gridcode to the grid_options</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Saving grid code to grid_options"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span> <span class="mi">1</span>
+ <span class="p">)</span>
+
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"code_string"</span><span class="p">]</span> <span class="o">=</span> <span class="n">code_string</span>
+
+ <span class="c1"># Write to file</span>
+ <span class="n">gridcode_filename</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"binary_c_grid_</span><span class="si">{}</span><span class="s2">.py"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_population_id"</span><span class="p">]),</span>
+ <span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"gridcode_filename"</span><span class="p">]</span> <span class="o">=</span> <span class="n">gridcode_filename</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Writing grid code to </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">gridcode_filename</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">gridcode_filename</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span>
+ <span class="n">file</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">code_string</span><span class="p">)</span>
+ <span class="k">def</span> <span class="nf">_write_gridcode_system_call</span><span class="p">(</span>
+ <span class="bp">self</span><span class="p">,</span> <span class="n">code_string</span><span class="p">,</span> <span class="n">indent</span><span class="p">,</span> <span class="n">depth</span><span class="p">,</span> <span class="n">grid_variable</span><span class="p">,</span> <span class="n">dry_run</span><span class="p">,</span> <span class="n">branchpoint</span>
+ <span class="p">):</span>
+ <span class="c1">#################################################################################</span>
+ <span class="c1"># Here are the calls to the queuing or other solution. this part is for every system</span>
+ <span class="c1"># Add comment</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"#"</span> <span class="o">*</span> <span class="mi">40</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="k">if</span> <span class="n">branchpoint</span><span class="p">:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"# Code below will get evaluated for every system at this level of multiplicity (last one of that being </span><span class="si">{}</span><span class="s2">)</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">grid_variable</span><span class="p">[</span><span class="s2">"name"</span><span class="p">])</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"# Code below will get evaluated for every generated system</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Factor in the custom weight input</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"# Weigh the probability by a custom weighting factor</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s1">'probability = self.grid_options["weight"] * probabilities_list[</span><span class="si">{}</span><span class="s1">]'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">grid_variable</span><span class="p">[</span><span class="s2">"grid_variable_number"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Take into account the multiplicity fraction: </span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"# Factor the multiplicity fraction into the probability</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s1">'probability = probability * self._calculate_multiplicity_fraction(parameter_dict)'</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Add division by amount of repeats</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"# Divide the probability by the amount of repeats</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s1">'probability = probability / self.grid_options["repeat"]'</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Now we yield the system self.grid_options["repeat"] times.</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"# Loop over the repeats</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'for _ in range(self.grid_options["repeat"]):'</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"_total_starcount += 1</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1"># set probability and phasevol values into the system dict</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s1">'parameter_dict["</span><span class="si">{}</span><span class="s1">"] = </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"probability"</span><span class="p">,</span> <span class="s2">"probability"</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="p">(</span>
+ <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s1">'parameter_dict["</span><span class="si">{}</span><span class="s1">"] = </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"phasevol"</span><span class="p">,</span> <span class="s2">"phasevol"</span><span class="p">)</span>
+ <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Some prints. will be removed</span>
+ <span class="c1"># code_string += indent * (depth + 1) + "print(probabilities)\n"</span>
+ <span class="c1"># code_string += (</span>
+ <span class="c1"># indent * (depth + 1) + 'print("_total_starcount: ", _total_starcount)\n'</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># code_string += indent * (depth + 1) + "print(probability)\n"</span>
+
+ <span class="c1"># Increment total probability</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"self._increment_probtot(probability)</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">dry_run</span><span class="p">:</span>
+ <span class="c1"># Handling of what is returned, or what is not.</span>
+ <span class="c1"># TODO: think of whether this is a good method</span>
+ <span class="c1"># code_string += indent * (depth + 2) + "if (self.grid_options['multiplicity'] >= 2): print('phasevol_q: ',phasevol_q); print('phasevol_log10per: ',phasevol_log10per);\n"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"yield(parameter_dict)</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="c1"># If its a dry run, dont do anything with it</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># code_string += indent * (depth + 2) + "if (self.grid_options['multiplicity'] >= 2): print(phasevol_q)\n"</span>
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"pass</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="n">code_string</span> <span class="o">+=</span> <span class="n">indent</span> <span class="o">*</span> <span class="p">(</span><span class="n">depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"#"</span> <span class="o">*</span> <span class="mi">40</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+
+ <span class="k">return</span> <span class="n">code_string</span>
+
+ <span class="k">def</span> <span class="nf">_load_grid_function</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Functon that loads the script containing the grid code.</span>
+
+<span class="sd"> TODO: Update this description</span>
+<span class="sd"> Test function to run grid stuff. mostly to test the import</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Code to load the</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="n">message</span><span class="o">=</span><span class="s2">"Loading grid code function from </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"gridcode_filename"</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">minimal_verbosity</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">spec</span> <span class="o">=</span> <span class="n">importlib</span><span class="o">.</span><span class="n">util</span><span class="o">.</span><span class="n">spec_from_file_location</span><span class="p">(</span>
+ <span class="s2">"binary_c_python_grid"</span><span class="p">,</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"gridcode_filename"</span><span class="p">]),</span>
+ <span class="p">)</span>
+ <span class="n">grid_file</span> <span class="o">=</span> <span class="n">importlib</span><span class="o">.</span><span class="n">util</span><span class="o">.</span><span class="n">module_from_spec</span><span class="p">(</span><span class="n">spec</span><span class="p">)</span>
+ <span class="n">spec</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">exec_module</span><span class="p">(</span><span class="n">grid_file</span><span class="p">)</span>
+ <span class="n">generator</span> <span class="o">=</span> <span class="n">grid_file</span><span class="o">.</span><span class="n">grid_code</span>
+
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">]</span> <span class="o">=</span> <span class="n">generator</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span><span class="s2">"Grid code loaded"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+
+ <span class="k">def</span> <span class="nf">_dry_run</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to dry run the grid and know how many stars it will run</span>
+
+<span class="sd"> Requires the grid to be built as a dry run grid</span>
+<span class="sd"> """</span>
+
+ <span class="n">system_generator</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">]</span>
+ <span class="n">total_starcount</span> <span class="o">=</span> <span class="n">system_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_total_starcount"</span><span class="p">]</span> <span class="o">=</span> <span class="n">total_starcount</span>
+
+ <span class="k">def</span> <span class="nf">_print_info</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">run_number</span><span class="p">,</span> <span class="n">total_systems</span><span class="p">,</span> <span class="n">full_system_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to print info about the current system and the progress of the grid.</span>
+
+<span class="sd"> # color info tricks from https://ozzmaker.com/add-colour-to-text-in-python/</span>
+<span class="sd"> https://stackoverflow.com/questions/287871/how-to-print-colored-text-in-terminal-in-python</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Define frequency</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">print_freq</span> <span class="o">=</span> <span class="mi">1</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">print_freq</span> <span class="o">=</span> <span class="mi">10</span>
+
+ <span class="c1"># Calculate amount of time left</span>
+
+ <span class="c1"># calculate amount of time passed</span>
+ <span class="c1"># time_passed = time.time() - self.grid_options["_start_time_evolution"]</span>
+
+ <span class="k">if</span> <span class="n">run_number</span> <span class="o">%</span> <span class="n">print_freq</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="n">binary_cmdline_string</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_return_argline</span><span class="p">(</span><span class="n">full_system_dict</span><span class="p">)</span>
+ <span class="n">info_string</span> <span class="o">=</span> <span class="s2">"</span><span class="si">{color_part_1}</span><span class="s2"> </span><span class="se">\</span>
+<span class="s2"> </span><span class="si">{text_part_1}{end_part_1}{color_part_2}</span><span class="s2"> </span><span class="se">\</span>
+<span class="s2"> </span><span class="si">{text_part_2}{end_part_2}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">color_part_1</span><span class="o">=</span><span class="s2">"</span><span class="se">\033</span><span class="s2">[1;32;41m"</span><span class="p">,</span>
+ <span class="n">text_part_1</span><span class="o">=</span><span class="s2">"</span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">run_number</span><span class="p">,</span> <span class="n">total_systems</span><span class="p">),</span>
+ <span class="n">end_part_1</span><span class="o">=</span><span class="s2">"</span><span class="se">\033</span><span class="s2">[0m"</span><span class="p">,</span>
+ <span class="n">color_part_2</span><span class="o">=</span><span class="s2">"</span><span class="se">\033</span><span class="s2">[1;32;42m"</span><span class="p">,</span>
+ <span class="n">text_part_2</span><span class="o">=</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">binary_cmdline_string</span><span class="p">),</span>
+ <span class="n">end_part_2</span><span class="o">=</span><span class="s2">"</span><span class="se">\033</span><span class="s2">[0m"</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">info_string</span><span class="p">)</span>
+
+ <span class="c1">###################################################</span>
+ <span class="c1"># Montecarlo functions</span>
+ <span class="c1">#</span>
+ <span class="c1"># Functions below are used to run populations with</span>
+ <span class="c1"># Monte carlo</span>
+ <span class="c1">###################################################</span>
+
+ <span class="c1">###################################################</span>
+ <span class="c1"># Population from file functions</span>
+ <span class="c1">#</span>
+ <span class="c1"># Functions below are used to run populations from</span>
+ <span class="c1"># a file containing binary_c calls</span>
+ <span class="c1">###################################################</span>
+ <span class="k">def</span> <span class="nf">_dry_run_source_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to go through the source_file and count the amount of lines and the total probability</span>
+<span class="sd"> """</span>
+
+ <span class="n">system_generator</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">]</span>
+
+ <span class="n">total_starcount</span> <span class="o">=</span> <span class="mi">0</span>
+ <span class="n">total_probability</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="n">contains_probability</span> <span class="o">=</span> <span class="kc">False</span>
+
+ <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">system_generator</span><span class="p">:</span>
+ <span class="n">total_starcount</span> <span class="o">+=</span> <span class="mi">1</span>
+
+ <span class="n">total_starcount</span> <span class="o">=</span> <span class="n">system_generator</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_total_starcount"</span><span class="p">]</span> <span class="o">=</span> <span class="n">total_starcount</span>
+
+ <span class="k">def</span> <span class="nf">_load_source_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">check</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that loads the source_file that contains a binary_c calls</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"source_file_filename"</span><span class="p">]):</span>
+ <span class="n">verbose_print</span><span class="p">(</span><span class="s2">"Source file doesnt exist"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span> <span class="mi">0</span><span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="n">message</span><span class="o">=</span><span class="s2">"Loading source file from </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"gridcode_filename"</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">verbosity</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">minimal_verbosity</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># We can choose to perform a check on the sourcefile, which checks if the lines start with 'binary_c'</span>
+ <span class="k">if</span> <span class="n">check</span><span class="p">:</span>
+ <span class="n">source_file_check_filehandle</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"source_file_filename"</span><span class="p">],</span> <span class="s2">"r"</span>
+ <span class="p">)</span>
+ <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">source_file_check_filehandle</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">line</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"binary_c"</span><span class="p">):</span>
+ <span class="n">failed</span> <span class="o">=</span> <span class="kc">True</span>
+ <span class="k">break</span>
+ <span class="k">if</span> <span class="n">failed</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Error, sourcefile contains lines that do not start with binary_c"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="n">source_file_filehandle</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"source_file_filename"</span><span class="p">],</span> <span class="s2">"r"</span><span class="p">)</span>
+
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">]</span> <span class="o">=</span> <span class="n">source_file_filehandle</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span><span class="s2">"Source file loaded"</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+
+ <span class="k">def</span> <span class="nf">_dict_from_line_source_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">line</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that creates a dict from a binary_c argline</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">line</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"binary_c "</span><span class="p">):</span>
+ <span class="n">line</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"binary_c "</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
+
+ <span class="n">split_line</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()</span>
+ <span class="n">arg_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">split_line</span><span class="p">),</span> <span class="mi">2</span><span class="p">):</span>
+ <span class="k">if</span> <span class="s2">"."</span> <span class="ow">in</span> <span class="n">split_line</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]:</span>
+ <span class="n">arg_dict</span><span class="p">[</span><span class="n">split_line</span><span class="p">[</span><span class="n">i</span><span class="p">]]</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">arg_dict</span><span class="p">[</span><span class="n">split_line</span><span class="p">[</span><span class="n">i</span><span class="p">]]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">split_line</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
+
+ <span class="k">return</span> <span class="n">arg_dict</span>
+
+ <span class="c1">###################################################</span>
+ <span class="c1"># SLURM functions</span>
+ <span class="c1">#</span>
+ <span class="c1"># subroutines to run SLURM grids</span>
+ <span class="c1">###################################################</span>
+
+ <span class="c1"># def _slurm_grid(self):</span>
+ <span class="c1"># """</span>
+ <span class="c1"># Main function that manages the SLURM setup.</span>
+
+ <span class="c1"># Has three stages:</span>
+
+ <span class="c1"># - setup</span>
+ <span class="c1"># - evolve</span>
+ <span class="c1"># - join</span>
+
+ <span class="c1"># Which stage is used is determined by the value of grid_options['slurm_command']:</span>
+
+ <span class="c1"># <empty>: the function will know its the user that executed the script and</span>
+ <span class="c1"># it will set up the necessary condor stuff</span>
+
+ <span class="c1"># 'evolve': evolve_population is called to evolve the population of stars</span>
+
+ <span class="c1"># 'join': We will attempt to join the output</span>
+ <span class="c1"># """</span>
+
+ <span class="c1"># # Check version</span>
+ <span class="c1"># # TODO: Put in function</span>
+ <span class="c1"># slurm_version = get_slurm_version()</span>
+ <span class="c1"># if not slurm_version:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "SLURM: Error: No installation of slurm found",</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+ <span class="c1"># else:</span>
+ <span class="c1"># major_version = int(slurm_version.split(".")[0])</span>
+ <span class="c1"># minor_version = int(slurm_version.split(".")[1])</span>
+
+ <span class="c1"># if major_version > 17:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "SLURM: Found version {} which is new enough".format(slurm_version),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 1,</span>
+ <span class="c1"># )</span>
+ <span class="c1"># else:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "SLURM: Found version {} which is too old (we require 17+)".format(</span>
+ <span class="c1"># slurm_version</span>
+ <span class="c1"># ),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "SLURM: Running slurm grid. command={}".format(</span>
+ <span class="c1"># self.grid_options["slurm_command"]</span>
+ <span class="c1"># ),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 1,</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># if not self.grid_options["slurm_command"]:</span>
+ <span class="c1"># # Setting up</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "SLURM: Main controller script. Setting up",</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 1,</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># # Set up working directories:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "SLURM: creating working directories", self.grid_options["verbosity"], 1</span>
+ <span class="c1"># )</span>
+ <span class="c1"># create_directories_hpc(self.grid_options["slurm_dir"])</span>
+
+ <span class="c1"># # Create command</span>
+ <span class="c1"># python_details = get_python_details()</span>
+ <span class="c1"># scriptname = path_of_calling_script()</span>
+ <span class="c1"># command = "{} {}".format(python_details["executable"], scriptname)</span>
+ <span class="c1"># command += ' --cmdline "{}"'.format(</span>
+ <span class="c1"># " ".join(</span>
+ <span class="c1"># [</span>
+ <span class="c1"># "{}".format(self.grid_options["_commandline_input"]),</span>
+ <span class="c1"># "offset=$jobarrayindex",</span>
+ <span class="c1"># "modulo={}".format(self.grid_options["slurm_njobs"]),</span>
+ <span class="c1"># "vb={}".format(self.grid_options["verbosity"]),</span>
+ <span class="c1"># "slurm_jobid=$jobid",</span>
+ <span class="c1"># "slurm_jobarrayindex=$jobarrayindex",</span>
+ <span class="c1"># "slurm_jobname='binary_grid_'$jobid'.'$jobarrayindex",</span>
+ <span class="c1"># "slurm_njobs={}".format(self.grid_options["slurm_njobs"]),</span>
+ <span class="c1"># "slurm_dir={}".format(self.grid_options["slurm_dir"]),</span>
+ <span class="c1"># "rungrid=1",</span>
+ <span class="c1"># "slurm_command=evolve",</span>
+ <span class="c1"># ]</span>
+ <span class="c1"># ).strip()</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># # Construct dict with settings for the script while checking the settings at the same time</span>
+ <span class="c1"># # Check settings:</span>
+ <span class="c1"># # TODO: check settings</span>
+ <span class="c1"># # Create SLURM_DIR script:</span>
+ <span class="c1"># slurm_script_options = {}</span>
+ <span class="c1"># slurm_script_options["n"] = self.grid_options["slurm_njobs"]</span>
+ <span class="c1"># slurm_script_options["njobs"] = self.grid_options["slurm_njobs"]</span>
+ <span class="c1"># slurm_script_options["dir"] = self.grid_options["slurm_dir"]</span>
+ <span class="c1"># slurm_script_options["memory"] = self.grid_options["slurm_memory"]</span>
+ <span class="c1"># slurm_script_options["working_dir"] = self.grid_options[</span>
+ <span class="c1"># "slurm_dir"</span>
+ <span class="c1"># ] # TODO: check this</span>
+ <span class="c1"># slurm_script_options["command"] = command</span>
+ <span class="c1"># # slurm_script_options['streams'] = self.grid_options['streams']</span>
+
+ <span class="c1"># # Construct the script</span>
+ <span class="c1"># slurm_script_contents = ""</span>
+ <span class="c1"># slurm_script_contents += "#!/bin/bash\n"</span>
+ <span class="c1"># slurm_script_contents += "# Slurm file for binary_grid and slurm\n"</span>
+ <span class="c1"># slurm_script_contents += "#SBATCH --error={}/stderr/%A.%a\n".format(</span>
+ <span class="c1"># self.grid_options["slurm_dir"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "#SBATCH --output={}/stdout/%A.%a\n".format(</span>
+ <span class="c1"># self.grid_options["slurm_dir"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "#SBATCH --job-name={}\n".format(</span>
+ <span class="c1"># self.grid_options["slurm_jobname"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "#SBATCH --partition={}\n".format(</span>
+ <span class="c1"># self.grid_options["slurm_partition"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "#SBATCH --time={}\n".format(</span>
+ <span class="c1"># self.grid_options["slurm_time"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "#SBATCH --mem={}\n".format(</span>
+ <span class="c1"># self.grid_options["slurm_memory"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "#SBATCH --ntasks={}\n".format(</span>
+ <span class="c1"># self.grid_options["slurm_ntasks"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "#SBATCH --array={}\n".format(</span>
+ <span class="c1"># self.grid_options["slurm_array"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "\n"</span>
+
+ <span class="c1"># if self.grid_options["slurm_extra_settings"]:</span>
+ <span class="c1"># slurm_script_contents += "# Extra settings by user:"</span>
+ <span class="c1"># slurm_script_contents += "\n".join(</span>
+ <span class="c1"># [</span>
+ <span class="c1"># "--{}={}".format(</span>
+ <span class="c1"># key, self.grid_options["slurm_extra_settings"][key]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># for key in self.grid_options["slurm_extra_settings"]</span>
+ <span class="c1"># ]</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># slurm_script_contents += '# set status to "running"\n'</span>
+ <span class="c1"># slurm_script_contents += (</span>
+ <span class="c1"># 'echo "running" > {}/status/$jobid.$jobarrayindex\n\n'.format(</span>
+ <span class="c1"># self.grid_options["slurm_dir"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "# run grid of stars\n"</span>
+ <span class="c1"># slurm_script_contents += "{}\n\n".format(command)</span>
+ <span class="c1"># slurm_script_contents += '# set status to "finished"\n'</span>
+ <span class="c1"># slurm_script_contents += (</span>
+ <span class="c1"># 'echo "finished" > {}/status/$jobid.$jobarrayindex\n'.format(</span>
+ <span class="c1"># self.grid_options["slurm_dir"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># )</span>
+ <span class="c1"># slurm_script_contents += "\n"</span>
+
+ <span class="c1"># if self.grid_options["slurm_postpone_join"]:</span>
+ <span class="c1"># slurm_script_contents += "{} rungrid=0 results_hash_dumpfile={}/results/$jobid.all slurm_command=join\n".format(</span>
+ <span class="c1"># command, self.grid_options["slurm_dir"]</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># # Write script to file</span>
+ <span class="c1"># slurm_script_filename = os.path.join(</span>
+ <span class="c1"># self.grid_options["slurm_dir"], "slurm_script"</span>
+ <span class="c1"># )</span>
+ <span class="c1"># with open(slurm_script_filename, "w") as slurm_script_file:</span>
+ <span class="c1"># slurm_script_file.write(slurm_script_contents)</span>
+
+ <span class="c1"># # Execute or postpone</span>
+ <span class="c1"># if self.grid_options["slurm_postpone_sbatch"]:</span>
+ <span class="c1"># # Execute or postpone the real call to sbatch</span>
+ <span class="c1"># sbatch_command = "sbatch {}".format(slurm_script_filename)</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "running slurm script {}".format(slurm_script_filename),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+ <span class="c1"># # subprocess.Popen(sbatch_command, close_fds=True)</span>
+ <span class="c1"># # subprocess.Popen(sbatch_command, creationflags=subprocess.DETACHED_PROCESS)</span>
+ <span class="c1"># verbose_print("Submitted scripts.", self.grid_options["verbosity"], 0)</span>
+ <span class="c1"># else:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "Slurm script is in {} but hasnt been executed".format(</span>
+ <span class="c1"># slurm_script_filename</span>
+ <span class="c1"># ),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># verbose_print("all done!", self.grid_options["verbosity"], 0)</span>
+ <span class="c1"># exit()</span>
+
+ <span class="c1"># elif self.grid_options["slurm_command"] == "evolve":</span>
+ <span class="c1"># # Part to evolve the population.</span>
+ <span class="c1"># # TODO: decide how many CPUs</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "SLURM: Evolving population", self.grid_options["verbosity"], 1</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># #</span>
+ <span class="c1"># self.evolve_population()</span>
+
+ <span class="c1"># elif self.grid_options["slurm_command"] == "join":</span>
+ <span class="c1"># # Joining the output.</span>
+ <span class="c1"># verbose_print("SLURM: Joining results", self.grid_options["verbosity"], 1)</span>
+
+ <span class="c1">###################################################</span>
+ <span class="c1"># CONDOR functions</span>
+ <span class="c1">#</span>
+ <span class="c1"># subroutines to run CONDOR grids</span>
+ <span class="c1">###################################################</span>
+
+ <span class="c1"># def _condor_grid(self):</span>
+ <span class="c1"># """</span>
+ <span class="c1"># Main function that manages the CONDOR setup.</span>
+
+ <span class="c1"># Has three stages:</span>
+
+ <span class="c1"># - setup</span>
+ <span class="c1"># - evolve</span>
+ <span class="c1"># - join</span>
+
+ <span class="c1"># Which stage is used is determined by the value of grid_options['condor_command']:</span>
+
+ <span class="c1"># <empty>: the function will know its the user that executed the script and</span>
+ <span class="c1"># it will set up the necessary condor stuff</span>
+
+ <span class="c1"># 'evolve': evolve_population is called to evolve the population of stars</span>
+
+ <span class="c1"># 'join': We will attempt to join the output</span>
+ <span class="c1"># """</span>
+
+ <span class="c1"># # TODO: Put in function</span>
+ <span class="c1"># condor_version = get_condor_version()</span>
+ <span class="c1"># if not condor_version:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "CONDOR: Error: No installation of condor found",</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+ <span class="c1"># else:</span>
+ <span class="c1"># major_version = int(condor_version.split(".")[0])</span>
+ <span class="c1"># minor_version = int(condor_version.split(".")[1])</span>
+
+ <span class="c1"># if (major_version == 8) and (minor_version > 4):</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "CONDOR: Found version {} which is new enough".format(</span>
+ <span class="c1"># condor_version</span>
+ <span class="c1"># ),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+ <span class="c1"># elif major_version > 9:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "CONDOR: Found version {} which is new enough".format(</span>
+ <span class="c1"># condor_version</span>
+ <span class="c1"># ),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+ <span class="c1"># else:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "CONDOR: Found version {} which is too old (we require 8.3/8.4+)".format(</span>
+ <span class="c1"># condor_version</span>
+ <span class="c1"># ),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "Running Condor grid. command={}".format(</span>
+ <span class="c1"># self.grid_options["condor_command"]</span>
+ <span class="c1"># ),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 1,</span>
+ <span class="c1"># )</span>
+ <span class="c1"># if not self.grid_options["condor_command"]:</span>
+ <span class="c1"># # Setting up</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "CONDOR: Main controller script. Setting up",</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 1,</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># # Set up working directories:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "CONDOR: creating working directories",</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 1,</span>
+ <span class="c1"># )</span>
+ <span class="c1"># create_directories_hpc(self.grid_options["condor_dir"])</span>
+
+ <span class="c1"># # Create command</span>
+ <span class="c1"># current_workingdir = os.getcwd()</span>
+ <span class="c1"># python_details = get_python_details()</span>
+ <span class="c1"># scriptname = path_of_calling_script()</span>
+ <span class="c1"># # command = "".join([</span>
+ <span class="c1"># # "{}".python_details['executable'],</span>
+ <span class="c1"># # "{}".scriptname,</span>
+ <span class="c1"># # "offset=$jobarrayindex",</span>
+ <span class="c1"># # "modulo={}".format(self.grid_options['condor_njobs']),</span>
+ <span class="c1"># # "vb={}".format(self.grid_options['verbosity'])</span>
+
+ <span class="c1"># # "results_hash_dumpfile=$self->{_grid_options}{slurm_dir}/results/$jobid.$jobarrayindex",</span>
+ <span class="c1"># # 'slurm_jobid='.$jobid,</span>
+ <span class="c1"># # 'slurm_jobarrayindex='.$jobarrayindex,</span>
+ <span class="c1"># # 'slurm_jobname=binary_grid_'.$jobid.'.'.$jobarrayindex,</span>
+ <span class="c1"># # "slurm_njobs=$njobs",</span>
+ <span class="c1"># # "slurm_dir=$self->{_grid_options}{slurm_dir}",</span>
+ <span class="c1"># # );</span>
+
+ <span class="c1"># # Create directory with info for the condor script. By creating this directory we also check whether all the values are set correctly</span>
+ <span class="c1"># # TODO: create the condor script.</span>
+ <span class="c1"># condor_script_options = {}</span>
+ <span class="c1"># # condor_script_options['n'] =</span>
+ <span class="c1"># condor_script_options["njobs"] = self.grid_options["condor_njobs"]</span>
+ <span class="c1"># condor_script_options["dir"] = self.grid_options["condor_dir"]</span>
+ <span class="c1"># condor_script_options["memory"] = self.grid_options["condor_memory"]</span>
+ <span class="c1"># condor_script_options["working_dir"] = self.grid_options[</span>
+ <span class="c1"># "condor_working_dir"</span>
+ <span class="c1"># ]</span>
+ <span class="c1"># condor_script_options["command"] = self.grid_options["command"]</span>
+ <span class="c1"># condor_script_options["streams"] = self.grid_options["streams"]</span>
+
+ <span class="c1"># # TODO: condor works with running an executable.</span>
+
+ <span class="c1"># # Create script contents</span>
+ <span class="c1"># condor_script_contents = ""</span>
+ <span class="c1"># condor_script_contents += """</span>
+ <span class="c1"># #################################################</span>
+ <span class="c1"># #</span>
+ <span class="c1"># # Condor script to run a binary_grid via python</span>
+ <span class="c1"># #</span>
+ <span class="c1"># #################################################</span>
+ <span class="c1"># """</span>
+ <span class="c1"># condor_script_contents += "Executable\t= {}".format(executable)</span>
+ <span class="c1"># condor_script_contents += "arguments\t= {}".format(arguments)</span>
+ <span class="c1"># condor_script_contents += "environment\t= {}".format(environment)</span>
+ <span class="c1"># condor_script_contents += "universe\t= {}".format(</span>
+ <span class="c1"># self.grid_options["condor_universe"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># condor_script_contents += "\n"</span>
+ <span class="c1"># condor_script_contents += "output\t= {}/stdout/$id\n".format(</span>
+ <span class="c1"># self.grid_options["condor_dir"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># condor_script_contents += "error\t={}/sterr/$id".format(</span>
+ <span class="c1"># self.grid_options["condor_dir"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># condor_script_contents += "log\t={}\n".format(</span>
+ <span class="c1"># self.grid_options["condor_dir"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># condor_script_contents += "initialdir\t={}\n".format(current_workingdir)</span>
+ <span class="c1"># condor_script_contents += "remote_initialdir\t={}\n".format(</span>
+ <span class="c1"># current_workingdir</span>
+ <span class="c1"># )</span>
+ <span class="c1"># condor_script_contents += "\n"</span>
+ <span class="c1"># condor_script_contents += "steam_output\t={}".format(stream)</span>
+ <span class="c1"># condor_script_contents += "steam_error\t={}".format(stream)</span>
+ <span class="c1"># condor_script_contents += "+WantCheckpoint = False"</span>
+ <span class="c1"># condor_script_contents += "\n"</span>
+ <span class="c1"># condor_script_contents += "request_memory\t={}".format(</span>
+ <span class="c1"># self.grid_options["condor_memory"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># condor_script_contents += "ImageSize\t={}".format(</span>
+ <span class="c1"># self.grid_options["condor_memory"]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># condor_script_contents += "\n"</span>
+
+ <span class="c1"># if self.grid_options["condor_extra_settings"]:</span>
+ <span class="c1"># slurm_script_contents += "# Extra settings by user:"</span>
+ <span class="c1"># slurm_script_contents += "\n".join(</span>
+ <span class="c1"># [</span>
+ <span class="c1"># "{}\t={}".format(</span>
+ <span class="c1"># key, self.grid_options["condor_extra_settings"][key]</span>
+ <span class="c1"># )</span>
+ <span class="c1"># for key in self.grid_options["condor_extra_settings"]</span>
+ <span class="c1"># ]</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># condor_script_contents += "\n"</span>
+
+ <span class="c1"># # request_memory = $_[0]{memory}</span>
+ <span class="c1"># # ImageSize = $_[0]{memory}</span>
+
+ <span class="c1"># # Requirements = (1) \&\& (".</span>
+ <span class="c1"># # $self->{_grid_options}{condor_requirements}.")\n";</span>
+
+ <span class="c1"># #</span>
+ <span class="c1"># # file name: my_program.condor</span>
+ <span class="c1"># # Condor submit description file for my_program</span>
+ <span class="c1"># # Executable = my_program</span>
+ <span class="c1"># # Universe = vanilla</span>
+ <span class="c1"># # Error = logs/err.$(cluster)</span>
+ <span class="c1"># # Output = logs/out.$(cluster)</span>
+ <span class="c1"># # Log = logs/log.$(cluster)</span>
+
+ <span class="c1"># # should_transfer_files = YES</span>
+ <span class="c1"># # when_to_transfer_output = ON_EXIT</span>
+ <span class="c1"># # transfer_input_files = files/in1,files/in2</span>
+
+ <span class="c1"># # Arguments = files/in1 files/in2 files/out1</span>
+ <span class="c1"># # Queue</span>
+
+ <span class="c1"># # Write script contents to file</span>
+ <span class="c1"># if self.grid_options["condor_postpone_join"]:</span>
+ <span class="c1"># condor_script_contents += "{} rungrid=0 results_hash_dumpfile={}/results/$jobid.all condor_command=join\n".format(</span>
+ <span class="c1"># command, self.grid_options["condor_dir"]</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># condor_script_filename = os.path.join(</span>
+ <span class="c1"># self.grid_options["condor_dir"], "condor_script"</span>
+ <span class="c1"># )</span>
+ <span class="c1"># with open(condor_script_filename, "w") as condor_script_file:</span>
+ <span class="c1"># condor_script_file.write(condor_script_contents)</span>
+
+ <span class="c1"># if self.grid_options["condor_postpone_sbatch"]:</span>
+ <span class="c1"># # Execute or postpone the real call to sbatch</span>
+ <span class="c1"># submit_command = "condor_submit {}".format(condor_script_filename)</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "running condor script {}".format(condor_script_filename),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+ <span class="c1"># # subprocess.Popen(sbatch_command, close_fds=True)</span>
+ <span class="c1"># # subprocess.Popen(sbatch_command, creationflags=subprocess.DETACHED_PROCESS)</span>
+ <span class="c1"># verbose_print("Submitted scripts.", self.grid_options["verbosity"], 0)</span>
+ <span class="c1"># else:</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "Condor script is in {} but hasnt been executed".format(</span>
+ <span class="c1"># condor_script_filename</span>
+ <span class="c1"># ),</span>
+ <span class="c1"># self.grid_options["verbosity"],</span>
+ <span class="c1"># 0,</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># verbose_print("all done!", self.grid_options["verbosity"], 0)</span>
+ <span class="c1"># exit()</span>
+
+ <span class="c1"># elif self.grid_options["condor_command"] == "evolve":</span>
+ <span class="c1"># # TODO: write this function</span>
+ <span class="c1"># # Part to evolve the population.</span>
+ <span class="c1"># # TODO: decide how many CPUs</span>
+ <span class="c1"># verbose_print(</span>
+ <span class="c1"># "CONDOR: Evolving population", self.grid_options["verbosity"], 1</span>
+ <span class="c1"># )</span>
+
+ <span class="c1"># #</span>
+ <span class="c1"># self.evolve_population()</span>
+
+ <span class="c1"># elif self.grid_options["condor_command"] == "join":</span>
+ <span class="c1"># # TODO: write this function</span>
+ <span class="c1"># # Joining the output.</span>
+ <span class="c1"># verbose_print("CONDOR: Joining results", self.grid_options["verbosity"], 1)</span>
+
+ <span class="c1"># pass</span>
+ <span class="c1">###################################################</span>
+ <span class="c1"># Unordered functions</span>
+ <span class="c1">#</span>
+ <span class="c1"># Functions that arent ordered yet</span>
+ <span class="c1">###################################################</span>
+
+<div class="viewcode-block" id="Population.write_binary_c_calls_to_file"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.write_binary_c_calls_to_file">[docs]</a> <span class="k">def</span> <span class="nf">write_binary_c_calls_to_file</span><span class="p">(</span>
+ <span class="bp">self</span><span class="p">,</span>
+ <span class="n">output_dir</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+ <span class="n">output_filename</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+ <span class="n">include_defaults</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+ <span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that loops over the gridcode and writes the generated parameters to a file.</span>
+<span class="sd"> In the form of a commandline call</span>
+
+<span class="sd"> Only useful when you have a variable grid as system_generator. MC wouldnt be that useful</span>
+
+<span class="sd"> Also, make sure that in this export there are the basic parameters</span>
+<span class="sd"> like m1,m2,sep, orb-per, ecc, probability etc.</span>
+
+<span class="sd"> On default this will write to the datadir, if it exists</span>
+
+<span class="sd"> WARNING; dont use yet. not fully tested.</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: test this function</span>
+<span class="sd"> - TODO: make sure the binary_c_python .. output file has a unique name</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> output_dir: (optional, default = None) directory where to write the file to. If custom_options['data_dir'] is present, then that one will be used first, and then the output_dir</span>
+<span class="sd"> output_filename: (optional, default = None) filename of the output. If not set it will be called "binary_c_calls.txt"</span>
+<span class="sd"> include_defaults: (optional, default = None) whether to include the defaults of binary_c in the lines that are written. Beware that this will result in very long lines, and it might be better to just export the binary_c defaults and keep them in a seperate file.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Check if there is no compiled grid yet. If not, lets try to build it first.</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">]:</span>
+
+ <span class="c1">## check the settings:</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ensemble"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="p">[</span><span class="s2">"ensemble"</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ensemble_defer"</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Error, if you want to run an ensemble in a population, the output needs to be deferred"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="c1"># Put in check</span>
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">])</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Error: you havent defined any grid variables! Aborting"</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="c1">#</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_generate_grid_code</span><span class="p">(</span><span class="n">dry_run</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_load_grid_function</span><span class="p">()</span>
+
+ <span class="c1"># then if the _system_generator is present, we go through it</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">]:</span>
+ <span class="c1"># Check if there is an output dir configured</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"data_dir"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">binary_c_calls_output_dir</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="s2">"data_dir"</span><span class="p">]</span>
+ <span class="c1"># otherwise check if theres one passed to the function</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">output_dir</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Error. No data_dir configured and you gave no output_dir. Aborting"</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+ <span class="n">binary_c_calls_output_dir</span> <span class="o">=</span> <span class="n">output_dir</span>
+
+ <span class="c1"># check if theres a filename passed to the function</span>
+ <span class="k">if</span> <span class="n">output_filename</span><span class="p">:</span>
+ <span class="n">binary_c_calls_filename</span> <span class="o">=</span> <span class="n">output_filename</span>
+ <span class="c1"># otherwise use default value</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">binary_c_calls_filename</span> <span class="o">=</span> <span class="s2">"binary_c_calls.txt"</span>
+
+ <span class="n">binary_c_calls_full_filename</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="n">binary_c_calls_output_dir</span><span class="p">,</span> <span class="n">binary_c_calls_filename</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Writing binary_c calls to </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">binary_c_calls_full_filename</span><span class="p">))</span>
+
+ <span class="c1"># Write to file</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">binary_c_calls_full_filename</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span>
+ <span class="c1"># Get defaults and clean them, then overwrite them with the set values.</span>
+ <span class="k">if</span> <span class="n">include_defaults</span><span class="p">:</span>
+ <span class="c1"># TODO: make sure that the defaults here are cleaned up properly</span>
+ <span class="n">cleaned_up_defaults</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cleaned_up_defaults</span>
+ <span class="n">full_system_dict</span> <span class="o">=</span> <span class="n">cleaned_up_defaults</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+ <span class="n">full_system_dict</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">copy</span><span class="p">())</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">full_system_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bse_options</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+ <span class="k">for</span> <span class="n">system</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_system_generator"</span><span class="p">](</span><span class="bp">self</span><span class="p">):</span>
+ <span class="c1"># update values with current system values</span>
+ <span class="n">full_system_dict</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">system</span><span class="p">)</span>
+
+ <span class="n">binary_cmdline_string</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_return_argline</span><span class="p">(</span><span class="n">full_system_dict</span><span class="p">)</span>
+ <span class="n">file</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">binary_cmdline_string</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Error. No grid function found!"</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span></div>
+
+ <span class="k">def</span> <span class="nf">_cleanup_defaults</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to clean up the default values:</span>
+
+<span class="sd"> from a dictionary, removes the entries that have the following values:</span>
+<span class="sd"> - "NULL"</span>
+<span class="sd"> - ""</span>
+<span class="sd"> - "Function"</span>
+
+<span class="sd"> Uses the function from utils.functions</span>
+
+<span class="sd"> TODO: Rethink this functionality. seems a bit double, could also be just outside of the class</span>
+<span class="sd"> """</span>
+
+ <span class="n">binary_c_defaults</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_return_binary_c_defaults</span><span class="p">()</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+ <span class="n">cleaned_dict</span> <span class="o">=</span> <span class="n">filter_arg_dict</span><span class="p">(</span><span class="n">binary_c_defaults</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">cleaned_dict</span>
+
+ <span class="k">def</span> <span class="nf">_clean_up_custom_logging</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">evol_type</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to clean up the custom logging.</span>
+<span class="sd"> Has two types:</span>
+<span class="sd"> 'single':</span>
+<span class="sd"> - removes the compiled shared library</span>
+<span class="sd"> (which name is stored in grid_options['_custom_logging_shared_library_file'])</span>
+<span class="sd"> - TODO: unloads/frees the memory allocated to that shared library</span>
+<span class="sd"> (which is stored in grid_options['custom_logging_func_memaddr'])</span>
+<span class="sd"> - sets both to None</span>
+<span class="sd"> 'multiple':</span>
+<span class="sd"> - TODO: make this and design this</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">evol_type</span> <span class="o">==</span> <span class="s2">"single"</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Cleaning up the custom logging stuff. type: single"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># TODO: Unset custom logging code</span>
+
+ <span class="c1"># TODO: Unset function memory adress</span>
+ <span class="c1"># print(self.grid_options["custom_logging_func_memaddr"])</span>
+
+ <span class="c1"># remove shared library files</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_custom_logging_shared_library_file"</span><span class="p">]:</span>
+ <span class="n">remove_file</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_custom_logging_shared_library_file"</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">evol_type</span> <span class="o">==</span> <span class="s2">"population"</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Cleaning up the custom logging stuffs. type: population"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># TODO: make sure that these also work. not fully sure if necessary tho.</span>
+ <span class="c1"># whether its a single file, or a dict of files/memaddresses</span>
+
+ <span class="k">if</span> <span class="n">evol_type</span> <span class="o">==</span> <span class="s2">"MC"</span><span class="p">:</span>
+ <span class="k">pass</span>
+
+ <span class="k">def</span> <span class="nf">_increment_probtot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">prob</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to add to the total probability. For now not used</span>
+<span class="sd"> """</span>
+
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_probtot"</span><span class="p">]</span> <span class="o">+=</span> <span class="n">prob</span>
+
+ <span class="k">def</span> <span class="nf">_increment_count</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to add to the total amount of stars. For now not used</span>
+<span class="sd"> """</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_count"</span><span class="p">]</span> <span class="o">+=</span> <span class="mi">1</span>
+
+ <span class="k">def</span> <span class="nf">_set_loggers</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to set the loggers for the execution of the grid</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Set logfile</span>
+ <span class="n">binary_c_logfile</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"log_file"</span><span class="p">]</span>
+
+ <span class="c1"># Create directory</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">binary_c_logfile</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+ <span class="c1"># Set up logger</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="s2">"binary_c_python_logger"</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">])</span>
+
+ <span class="c1"># Reset handlers</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">handlers</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="c1"># Set formatting of output</span>
+ <span class="n">log_formatter</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">Formatter</span><span class="p">(</span>
+ <span class="s2">"</span><span class="si">%(asctime)s</span><span class="s2"> - </span><span class="si">%(name)s</span><span class="s2"> - </span><span class="si">%(levelname)s</span><span class="s2"> - </span><span class="si">%(message)s</span><span class="s2">"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Make and add filehandlers</span>
+ <span class="c1"># make handler for output to file</span>
+ <span class="n">handler_file</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">FileHandler</span><span class="p">(</span><span class="n">filename</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">binary_c_logfile</span><span class="p">))</span>
+ <span class="n">handler_file</span><span class="o">.</span><span class="n">setFormatter</span><span class="p">(</span><span class="n">log_formatter</span><span class="p">)</span>
+ <span class="n">handler_file</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">INFO</span><span class="p">)</span>
+
+ <span class="c1"># Make handler for output to stdout</span>
+ <span class="n">handler_stdout</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">StreamHandler</span><span class="p">(</span><span class="n">sys</span><span class="o">.</span><span class="n">stdout</span><span class="p">)</span>
+ <span class="n">handler_stdout</span><span class="o">.</span><span class="n">setFormatter</span><span class="p">(</span><span class="n">log_formatter</span><span class="p">)</span>
+ <span class="n">handler_stdout</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">INFO</span><span class="p">)</span>
+
+ <span class="c1"># Add the loggers</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">addHandler</span><span class="p">(</span><span class="n">handler_file</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">addHandler</span><span class="p">(</span><span class="n">handler_stdout</span><span class="p">)</span>
+
+ <span class="k">def</span> <span class="nf">_check_binary_c_error</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">binary_c_output</span><span class="p">,</span> <span class="n">system_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to check whether binary_c throws an error and handle accordingly.</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">binary_c_output</span><span class="p">:</span>
+ <span class="k">if</span> <span class="p">(</span><span class="n">binary_c_output</span><span class="o">.</span><span class="n">splitlines</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"SYSTEM_ERROR"</span><span class="p">))</span> <span class="ow">or</span> <span class="p">(</span>
+ <span class="n">binary_c_output</span><span class="o">.</span><span class="n">splitlines</span><span class="p">()[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"SYSTEM_ERROR"</span><span class="p">)</span>
+ <span class="p">):</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"FAILING SYSTEM FOUND"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Keep track of the amount of failed systems and their error codes</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_prob"</span><span class="p">]</span> <span class="o">+=</span> <span class="n">system_dict</span><span class="p">[</span><span class="s2">"probability"</span><span class="p">]</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">]</span> <span class="o">+=</span> <span class="mi">1</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_found"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="c1"># Try catching the error code and keep track of the unique ones.</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">error_code</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span>
+ <span class="n">binary_c_output</span><span class="o">.</span><span class="n">splitlines</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"with error code"</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+ <span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">":"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="p">(</span>
+ <span class="ow">not</span> <span class="n">error_code</span>
+ <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_systems_error_codes"</span><span class="p">]</span>
+ <span class="p">):</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_systems_error_codes"</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="n">error_code</span>
+ <span class="p">)</span>
+ <span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Failed to extract the error-code"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Check if we have exceeded the amount of errors</span>
+ <span class="k">if</span> <span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_failed_count"</span><span class="p">]</span>
+ <span class="o">></span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"failed_systems_threshold"</span><span class="p">]</span>
+ <span class="p">):</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_exceeded"</span><span class="p">]:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Process </span><span class="si">{}</span><span class="s2"> exceeded the maximum (</span><span class="si">{}</span><span class="s2">) amount of failing systems. Stopped logging them to files now"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"failed_systems_threshold"</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_errors_exceeded"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="c1"># If not, write the failing systems to files unique to each process</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># Write arglines to file</span>
+ <span class="n">argstring</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_return_argline</span><span class="p">(</span><span class="n">system_dict</span><span class="p">)</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span>
+ <span class="s2">"failed_systems"</span><span class="p">,</span>
+ <span class="s2">"process_</span><span class="si">{}</span><span class="s2">.txt"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">process_ID</span><span class="p">),</span>
+ <span class="p">),</span>
+ <span class="s2">"a+"</span><span class="p">,</span>
+ <span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">argstring</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"binary_c had 0 output. Which is strange. Make sure you mean to do this. If there is actually ensemble output being generated then its fine."</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">2</span><span class="p">,</span>
+ <span class="p">)</span>
+
+<div class="viewcode-block" id="Population.set_moe_distefano_settings"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.set_moe_distefano_settings">[docs]</a> <span class="k">def</span> <span class="nf">set_moe_distefano_settings</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to set user input configurations for the moe & distefano methods</span>
+<span class="sd"> </span>
+<span class="sd"> If nothing is passed then we just use the default options</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">options</span><span class="p">:</span>
+ <span class="c1"># Take the option dictionary that was given and override.</span>
+ <span class="n">options</span> <span class="o">=</span> <span class="n">update_dicts</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">],</span> <span class="n">options</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">options</span><span class="p">))</span>
+
+ <span class="c1"># Write options to a file</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">),</span> <span class="s2">"moeopts.dat"</span><span class="p">),</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">],</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span></div>
+
+ <span class="k">def</span> <span class="nf">_load_moe_distefano_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to load the moe & distefano data</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Only if the grid is loaded and moecache contains information</span>
+ <span class="k">if</span> <span class="p">(</span><span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'_loaded_ms_data'</span><span class="p">])</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="p">:</span>
+ <span class="c1"># Load the json data</span>
+ <span class="n">json_data</span> <span class="o">=</span> <span class="n">get_moe_distefano_dataset</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">],</span> <span class="n">verbosity</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'verbosity'</span><span class="p">])</span>
+
+ <span class="c1"># entry of log10M1 is a list containing 1 dict. We can take the dict out of the list</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">]</span> <span class="o">=</span> <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="c1"># Get all the masses</span>
+ <span class="n">logmasses</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">]</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">logmasses</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"The table does not contain masses."</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Moe_de_Stefano_2017: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">msg</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># Write to file</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">),</span> <span class="s2">"moe.log"</span><span class="p">),</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">logfile</span><span class="p">:</span>
+ <span class="n">logfile</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">"logâ‚â‚€Masses(M☉) </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">logmasses</span><span class="p">))</span>
+
+ <span class="c1"># Get all the periods and see if they are all consistently present</span>
+ <span class="n">logperiods</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="k">for</span> <span class="n">logmass</span> <span class="ow">in</span> <span class="n">logmasses</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">logperiods</span><span class="p">:</span>
+ <span class="n">logperiods</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">])</span>
+ <span class="n">dlog10P</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">logperiods</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span> <span class="o">-</span> <span class="nb">float</span><span class="p">(</span><span class="n">logperiods</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+ <span class="n">current_logperiods</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">])</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">logperiods</span> <span class="o">==</span> <span class="n">current_logperiods</span><span class="p">):</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Period values are not consistent throughout the dataset"</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Moe_de_Stefano_2017: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">msg</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># log10period binwidth : of course this assumes a fixed</span>
+ <span class="c1"># binwidth, so we check for this too.</span>
+
+ <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">current_logperiods</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">):</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">dlog10P</span> <span class="o">==</span> <span class="p">(</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">current_logperiods</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span> <span class="o">-</span> <span class="nb">float</span><span class="p">(</span><span class="n">current_logperiods</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+ <span class="p">):</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Period spacing is not consistent throughout the dataset"</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Moe_de_Stefano_2017: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">msg</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">0</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># Write to file</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">,</span> <span class="s2">"moe.log"</span><span class="p">),</span> <span class="s2">"a"</span>
+ <span class="p">)</span> <span class="k">as</span> <span class="n">logfile</span><span class="p">:</span>
+ <span class="n">logfile</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">"logâ‚â‚€Periods(days) </span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">logperiods</span><span class="p">))</span>
+
+ <span class="c1"># Fill the global dict</span>
+ <span class="k">for</span> <span class="n">logmass</span> <span class="ow">in</span> <span class="n">logmasses</span><span class="p">:</span>
+ <span class="c1"># Create the multiplicity table</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"multiplicity_table"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"multiplicity_table"</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="c1"># multiplicity as a function of primary mass</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"multiplicity_table"</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="p">[</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logmass</span><span class="p">),</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"f_multi"</span><span class="p">],</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"single star fraction"</span><span class="p">],</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"binary star fraction"</span><span class="p">],</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"triple/quad star fraction"</span><span class="p">],</span>
+ <span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># a small log10period which we can shift just outside the</span>
+ <span class="c1"># table to force integration out there to zero</span>
+ <span class="n">epslog10P</span> <span class="o">=</span> <span class="mf">1e-8</span> <span class="o">*</span> <span class="n">dlog10P</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># loop over either binary or triple-outer periods</span>
+ <span class="n">first</span> <span class="o">=</span> <span class="mi">1</span>
+
+ <span class="c1"># Go over the periods</span>
+ <span class="k">for</span> <span class="n">logperiod</span> <span class="ow">in</span> <span class="n">logperiods</span><span class="p">:</span>
+ <span class="c1"># print("logperiod: {}".format(logperiod))</span>
+ <span class="c1">############################################################</span>
+ <span class="c1"># distributions of binary and triple star fractions</span>
+ <span class="c1"># as a function of mass, period.</span>
+ <span class="c1">#</span>
+ <span class="c1"># Note: these should be per unit log10P, hence we</span>
+ <span class="c1"># divide by $dlog10P</span>
+
+ <span class="k">if</span> <span class="n">first</span><span class="p">:</span>
+ <span class="n">first</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># Create the multiplicity table</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"period_distributions"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"period_distributions"</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># lower bound the period distributions to zero probability</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"period_distributions"</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="p">[</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logmass</span><span class="p">),</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logperiod</span><span class="p">)</span> <span class="o">-</span> <span class="mf">0.5</span> <span class="o">*</span> <span class="n">dlog10P</span> <span class="o">-</span> <span class="n">epslog10P</span><span class="p">,</span>
+ <span class="mf">0.0</span><span class="p">,</span>
+ <span class="mf">0.0</span><span class="p">,</span>
+ <span class="p">]</span>
+ <span class="p">)</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"period_distributions"</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="p">[</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logmass</span><span class="p">),</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logperiod</span><span class="p">)</span> <span class="o">-</span> <span class="mf">0.5</span> <span class="o">*</span> <span class="n">dlog10P</span><span class="p">,</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiod</span><span class="p">][</span>
+ <span class="s2">"normed_bin_frac_p_dist"</span>
+ <span class="p">]</span>
+ <span class="o">/</span> <span class="n">dlog10P</span><span class="p">,</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiod</span><span class="p">][</span>
+ <span class="s2">"normed_tripquad_frac_p_dist"</span>
+ <span class="p">]</span>
+ <span class="o">/</span> <span class="n">dlog10P</span><span class="p">,</span>
+ <span class="p">]</span>
+ <span class="p">)</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"period_distributions"</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="p">[</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logmass</span><span class="p">),</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logperiod</span><span class="p">),</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiod</span><span class="p">][</span>
+ <span class="s2">"normed_bin_frac_p_dist"</span>
+ <span class="p">]</span>
+ <span class="o">/</span> <span class="n">dlog10P</span><span class="p">,</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiod</span><span class="p">][</span>
+ <span class="s2">"normed_tripquad_frac_p_dist"</span>
+ <span class="p">]</span>
+ <span class="o">/</span> <span class="n">dlog10P</span><span class="p">,</span>
+ <span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># distributions as a function of mass, period, q</span>
+ <span class="c1">#</span>
+ <span class="c1"># First, get a list of the qs given by Moe</span>
+ <span class="c1">#</span>
+ <span class="n">qs</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiod</span><span class="p">][</span><span class="s2">"q"</span><span class="p">])</span>
+
+ <span class="c1"># Fill the data and 'normalize'</span>
+ <span class="n">qdata</span> <span class="o">=</span> <span class="n">fill_data</span><span class="p">(</span>
+ <span class="n">qs</span><span class="p">,</span> <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiod</span><span class="p">][</span><span class="s2">"q"</span><span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Create the multiplicity table</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q_distributions"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"q_distributions"</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="k">for</span> <span class="n">q</span> <span class="ow">in</span> <span class="n">qs</span><span class="p">:</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"q_distributions"</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="p">[</span><span class="nb">float</span><span class="p">(</span><span class="n">logmass</span><span class="p">),</span> <span class="nb">float</span><span class="p">(</span><span class="n">logperiod</span><span class="p">),</span> <span class="nb">float</span><span class="p">(</span><span class="n">q</span><span class="p">),</span> <span class="n">qdata</span><span class="p">[</span><span class="n">q</span><span class="p">]]</span>
+ <span class="p">)</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># eccentricity distributions as a function of mass, period, ecc</span>
+ <span class="n">eccs</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiod</span><span class="p">][</span><span class="s2">"e"</span><span class="p">])</span>
+
+ <span class="c1"># Fill the data and 'normalize'</span>
+ <span class="n">ecc_data</span> <span class="o">=</span> <span class="n">fill_data</span><span class="p">(</span>
+ <span class="n">eccs</span><span class="p">,</span> <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiod</span><span class="p">][</span><span class="s2">"e"</span><span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Create the multiplicity table</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ecc_distributions"</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"ecc_distributions"</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="k">for</span> <span class="n">ecc</span> <span class="ow">in</span> <span class="n">eccs</span><span class="p">:</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"ecc_distributions"</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="p">[</span><span class="nb">float</span><span class="p">(</span><span class="n">logmass</span><span class="p">),</span> <span class="nb">float</span><span class="p">(</span><span class="n">logperiod</span><span class="p">),</span> <span class="nb">float</span><span class="p">(</span><span class="n">ecc</span><span class="p">),</span> <span class="n">ecc_data</span><span class="p">[</span><span class="n">ecc</span><span class="p">]]</span>
+ <span class="p">)</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># upper bound the period distributions to zero probability</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"period_distributions"</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="p">[</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logmass</span><span class="p">),</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logperiods</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span> <span class="o">+</span> <span class="mf">0.5</span> <span class="o">*</span> <span class="n">dlog10P</span><span class="p">,</span> <span class="c1"># TODO: why this shift?</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiods</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]][</span>
+ <span class="s2">"normed_bin_frac_p_dist"</span>
+ <span class="p">]</span>
+ <span class="o">/</span> <span class="n">dlog10P</span><span class="p">,</span>
+ <span class="n">json_data</span><span class="p">[</span><span class="s2">"log10M1"</span><span class="p">][</span><span class="n">logmass</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="n">logperiods</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]][</span>
+ <span class="s2">"normed_tripquad_frac_p_dist"</span>
+ <span class="p">]</span>
+ <span class="o">/</span> <span class="n">dlog10P</span><span class="p">,</span>
+ <span class="p">]</span>
+ <span class="p">)</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="s2">"period_distributions"</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+ <span class="p">[</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logmass</span><span class="p">),</span>
+ <span class="nb">float</span><span class="p">(</span><span class="n">logperiods</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span> <span class="o">+</span> <span class="mf">0.5</span> <span class="o">*</span> <span class="n">dlog10P</span> <span class="o">+</span> <span class="n">epslog10P</span><span class="p">,</span>
+ <span class="mf">0.0</span><span class="p">,</span>
+ <span class="mf">0.0</span><span class="p">,</span>
+ <span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Moe_de_Stefano_2017: Length period_distributions table: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">len</span><span class="p">(</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"period_distributions"</span><span class="p">])</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Moe_de_Stefano_2017: Length multiplicity table: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">len</span><span class="p">(</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"multiplicity_table"</span><span class="p">])</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Moe_de_Stefano_2017: Length q table: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">len</span><span class="p">(</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"q_distributions"</span><span class="p">])</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Moe_de_Stefano_2017: Length ecc table: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">len</span><span class="p">(</span><span class="n">Moecache</span><span class="p">[</span><span class="s2">"ecc_distributions"</span><span class="p">])</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Write to logfile</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"tmp_dir"</span><span class="p">],</span> <span class="s2">"moe_distefano"</span><span class="p">),</span> <span class="s2">"moecache.json"</span><span class="p">),</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">cache_filehandle</span><span class="p">:</span>
+ <span class="n">cache_filehandle</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">Moecache</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+ <span class="c1"># Signal that the data has been loaded</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'_loaded_ms_data'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="k">def</span> <span class="nf">_set_moe_distefano_distributions</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to set the moe & distefano distribution</span>
+<span class="sd"> """</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># first, the multiplicity, this is 1,2,3,4, ...</span>
+ <span class="c1"># for singles, binaries, triples, quadruples, ...</span>
+
+ <span class="n">max_multiplicity</span> <span class="o">=</span> <span class="n">get_max_multiplicity</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"multiplicity_modulator"</span><span class="p">])</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Moe_de_Stefano_2017: Max multiplicity = </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">max_multiplicity</span><span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="c1">######</span>
+ <span class="c1"># Setting up the grid variables</span>
+
+ <span class="c1"># Multiplicity</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"multiplicity"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"multiplicity"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"multiplicity"</span><span class="p">,</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="n">max_multiplicity</span><span class="p">],</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"range(1, 5)"</span><span class="p">,</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s1">'self.grid_options["multiplicity"] = multiplicity; self.bse_options["multiplicity"] = multiplicity; options=</span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span>
+ <span class="p">),</span>
+ <span class="n">condition</span><span class="o">=</span><span class="s2">"(</span><span class="si">{}</span><span class="s2">[multiplicity-1] > 0)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"multiplicity_modulator"</span><span class="p">])</span>
+ <span class="p">),</span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"edge"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1">############################################################</span>
+ <span class="c1"># always require M1, for all systems</span>
+ <span class="c1">#</span>
+
+ <span class="c1"># TODO: put in option for the time-adaptive grid.</span>
+
+ <span class="c1"># log-spaced m1 with given resolution</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"lnm1"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"M_1"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"Primary mass"</span><span class="p">,</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="s2">"options['resolutions']['M'][0]"</span><span class="p">,</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(np.log(</span><span class="si">{}</span><span class="s2">), np.log(</span><span class="si">{}</span><span class="s2">), </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span>
+ <span class="s2">"np.log(</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">0</span><span class="p">]),</span>
+ <span class="s2">"np.log(</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">1</span><span class="p">]),</span>
+ <span class="p">],</span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"dlnm1"</span><span class="p">,</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s1">'M_1 = np.exp(lnm1); options["M_1"]=M_1'</span><span class="p">,</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="s2">"Moe_de_Stefano_2017_pdf({{</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">}}, verbosity=self.grid_options['verbosity'])['total_probdens'] if multiplicity == 1 else 1"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">str</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]))[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="s2">"'multiplicity': multiplicity"</span><span class="p">,</span> <span class="s2">"'M_1': M_1"</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Go to higher multiplicities</span>
+ <span class="k">if</span> <span class="n">max_multiplicity</span> <span class="o">>=</span> <span class="mi">2</span><span class="p">:</span>
+ <span class="c1"># binaries: period</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"log10per"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"orbital_period"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"log10(Orbital_Period)"</span><span class="p">,</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
+ <span class="n">condition</span><span class="o">=</span><span class="s1">'(self.grid_options["multiplicity"] >= 2)'</span><span class="p">,</span>
+ <span class="n">branchpoint</span><span class="o">=</span><span class="mi">1</span> <span class="k">if</span> <span class="n">max_multiplicity</span> <span class="o">></span> <span class="mi">1</span> <span class="k">else</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Signal here to put a branchpoint if we have a max multiplicity higher than 1. </span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"(</span><span class="si">{}</span><span class="s2"> * dlog10per)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">LOG_LN_CONVERTER</span><span class="p">),</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">1</span><span class="p">]],</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"""orbital_period = 10.0**log10per</span>
+<span class="s2">qmin=</span><span class="si">{}</span><span class="s2">/M_1</span>
+<span class="s2">qmax=maximum_mass_ratio_for_RLOF(M_1, orbital_period)</span>
+<span class="s2">"""</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"Mmin"</span><span class="p">,</span> <span class="mf">0.07</span><span class="p">)</span>
+ <span class="p">),</span>
+ <span class="p">)</span> <span class="c1"># TODO: change the maximum_mass_ratio_for_RLOF </span>
+
+ <span class="c1"># binaries: mass ratio</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"q"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"M_2"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"Mass ratio"</span><span class="p">,</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"options.get('Mmin', 0.07)/M_1"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"qmax"</span><span class="p">,</span>
+ <span class="p">],</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"dq"</span><span class="p">,</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"""</span>
+<span class="s2">M_2 = q * M_1</span>
+<span class="s2">sep = calc_sep_from_period(M_1, M_2, orbital_period)</span>
+<span class="s2"> """</span><span class="p">,</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">else</span> <span class="s2">"</span><span class="si">{}</span><span class="s2">/M_1"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"Mmin"</span><span class="p">,</span> <span class="mf">0.07</span><span class="p">)),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">])[</span><span class="mi">1</span><span class="p">]</span>
+ <span class="k">else</span> <span class="s2">"qmax"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="c1"># (optional) binaries: eccentricity</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"ecc"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"eccentricity"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"Eccentricity"</span><span class="p">,</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"decc"</span><span class="p">,</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"eccentricity=ecc"</span><span class="p">,</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="c1"># Just fail if not defined.</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="p">],</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="c1"># Just fail if not defined.</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Now for triples and quadruples</span>
+ <span class="k">if</span> <span class="n">max_multiplicity</span> <span class="o">>=</span> <span class="mi">3</span><span class="p">:</span>
+ <span class="c1"># Triple: period</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"log10per2"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"orbital_period_triple"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"log10(Orbital_Period2)"</span><span class="p">,</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
+ <span class="n">condition</span><span class="o">=</span><span class="s1">'(self.grid_options["multiplicity"] >= 3)'</span><span class="p">,</span>
+ <span class="n">branchpoint</span><span class="o">=</span><span class="mi">2</span> <span class="k">if</span> <span class="n">max_multiplicity</span> <span class="o">></span> <span class="mi">2</span> <span class="k">else</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Signal here to put a branchpoint if we have a max multiplicity higher than 1. </span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"(</span><span class="si">{}</span><span class="s2"> * dlog10per2)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">LOG_LN_CONVERTER</span><span class="p">),</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="p">],</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"""orbital_period_triple = 10.0**log10per2</span>
+<span class="s2">q2min=</span><span class="si">{}</span><span class="s2">/(M_1+M_2)</span>
+<span class="s2">q2max=maximum_mass_ratio_for_RLOF(M_1+M_2, orbital_period_triple)</span>
+<span class="s2"> """</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"Mmin"</span><span class="p">,</span> <span class="mf">0.07</span><span class="p">)</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Triples: mass ratio</span>
+ <span class="c1"># Note, the mass ratio is M_outer/M_inner</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"q2"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"M_3"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"Mass ratio outer/inner"</span><span class="p">,</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"options.get('Mmin', 0.07)/(M_1+M_2)"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"q2max"</span><span class="p">,</span>
+ <span class="p">],</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">2</span><span class="p">],</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"dq2"</span><span class="p">,</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"""</span>
+<span class="s2">M_3 = q2 * (M_1 + M_2)</span>
+<span class="s2">sep2 = calc_sep_from_period((M_1+M_2), M_3, orbital_period_triple)</span>
+<span class="s2">eccentricity2=0</span>
+<span class="s2">"""</span><span class="p">,</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"options.get('Mmin', 0.07)/(M_1+M_2)"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"q2max"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">2</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="c1"># (optional) triples: eccentricity</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"ecc2"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"eccentricity2"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"Eccentricity of the triple"</span><span class="p">,</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"decc2"</span><span class="p">,</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"eccentricity2=ecc2"</span><span class="p">,</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="c1"># Just fail if not defined.</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="p">],</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="c1"># Just fail if not defined.</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">max_multiplicity</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+ <span class="c1"># Quadruple: period</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"log10per3"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"orbital_period_quadruple"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"log10(Orbital_Period3)"</span><span class="p">,</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">2</span><span class="p">],</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
+ <span class="n">condition</span><span class="o">=</span><span class="s1">'(self.grid_options["multiplicity"] >= 4)'</span><span class="p">,</span>
+ <span class="n">branchpoint</span><span class="o">=</span><span class="mi">3</span> <span class="k">if</span> <span class="n">max_multiplicity</span> <span class="o">></span> <span class="mi">3</span> <span class="k">else</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Signal here to put a branchpoint if we have a max multiplicity higher than 1.</span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"(</span><span class="si">{}</span><span class="s2"> * dlog10per3)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">LOG_LN_CONVERTER</span><span class="p">),</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="p">],</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"logP"</span><span class="p">][</span><span class="mi">2</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"""orbital_period_quadruple = 10.0**log10per3</span>
+<span class="s2">q3min=</span><span class="si">{}</span><span class="s2">/(M_3)</span>
+<span class="s2">q3max=maximum_mass_ratio_for_RLOF(M_3, orbital_period_quadruple)</span>
+<span class="s2"> """</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"Mmin"</span><span class="p">,</span> <span class="mf">0.07</span><span class="p">)</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Quadruple: mass ratio : M_outer / M_inner</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"q3"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"M_4"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"Mass ratio outer low/outer high"</span><span class="p">,</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"options.get('Mmin', 0.07)/(M_3)"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"q3max"</span><span class="p">,</span>
+ <span class="p">],</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">3</span><span class="p">],</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"dq3"</span><span class="p">,</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"""</span>
+<span class="s2">M_4 = q3 * M_3</span>
+<span class="s2">sep3 = calc_sep_from_period((M_3), M_4, orbital_period_quadruple)</span>
+<span class="s2">eccentricity3=0</span>
+<span class="s2">"""</span><span class="p">,</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"options.get('Mmin', 0.07)/(M_3)"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"q"</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"ranges"</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"q"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+ <span class="k">else</span> <span class="s2">"q3max"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"M"</span><span class="p">][</span><span class="mi">2</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="c1"># (optional) triples: eccentricity</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">2</span><span class="p">]</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"ecc3"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"eccentricity3"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"Eccentricity of the triple+quadruple/outer binary"</span><span class="p">,</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">2</span><span class="p">],</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">gridtype</span><span class="o">=</span><span class="s2">"centred"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"decc3"</span><span class="p">,</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"eccentricity3=ecc3"</span><span class="p">,</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span>
+ <span class="mi">0</span>
+ <span class="p">],</span> <span class="c1"># Just fail if not defined.</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="p">],</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span>
+ <span class="mi">0</span>
+ <span class="p">],</span> <span class="c1"># Just fail if not defined.</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"ranges"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s2">"resolutions"</span><span class="p">][</span><span class="s2">"ecc"</span><span class="p">][</span><span class="mi">2</span><span class="p">],</span>
+ <span class="p">),</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Now we are at the last part.</span>
+ <span class="c1"># Here we should combine all the information that we calculate and update the options</span>
+ <span class="c1"># dictionary. This will then be passed to the Moe_de_Stefano_2017_pdf to calculate</span>
+ <span class="c1"># the real probability. The trick we use is to strip the options_dict as a string</span>
+ <span class="c1"># and add some keys to it:</span>
+
+ <span class="n">updated_options</span> <span class="o">=</span> <span class="s2">"{{</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">}}"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">str</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]))[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+ <span class="s1">'"multiplicity": multiplicity'</span><span class="p">,</span>
+ <span class="s1">'"M_1": M_1'</span><span class="p">,</span>
+ <span class="s1">'"M_2": M_2'</span><span class="p">,</span>
+ <span class="s1">'"M_3": M_3'</span><span class="p">,</span>
+ <span class="s1">'"M_4": M_4'</span><span class="p">,</span>
+ <span class="s1">'"P": orbital_period'</span><span class="p">,</span>
+ <span class="s1">'"P2": orbital_period_triple'</span><span class="p">,</span>
+ <span class="s1">'"P3": orbital_period_quadruple'</span><span class="p">,</span>
+ <span class="s1">'"ecc": eccentricity'</span><span class="p">,</span>
+ <span class="s1">'"ecc2": eccentricity2'</span><span class="p">,</span>
+ <span class="s1">'"ecc3": eccentricity3'</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">probdist_addition</span> <span class="o">=</span> <span class="s2">"Moe_de_Stefano_2017_pdf(</span><span class="si">{}</span><span class="s2">, verbosity=self.grid_options['verbosity'])['total_probdens']"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">updated_options</span>
+ <span class="p">)</span>
+
+ <span class="c1"># and finally the probability calculator</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"_grid_variables"</span><span class="p">][</span><span class="bp">self</span><span class="o">.</span><span class="n">last_grid_variable</span><span class="p">()][</span>
+ <span class="s2">"probdist"</span>
+ <span class="p">]</span> <span class="o">=</span> <span class="n">probdist_addition</span>
+
+ <span class="c1"># Add the options to the grid</span>
+ <span class="c1"># self.grid_options["_grid_variables"][self.last_grid_variable()][</span>
+ <span class="c1"># "precode"</span>
+ <span class="c1"># ] += "; self.grid_options['m&s_ensemble_options'] = {}".format(o)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"</span><span class="se">\t</span><span class="s2">Moe_de_Stefano_2017: Added final call to the pdf function"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">max_multiplicity</span>
+ <span class="p">),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="n">_MS_VERBOSITY_LEVEL</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Signal that the M&S grid has been set</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'_set_ms_grid'</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
+
+ <span class="c1">################################################################################################</span>
+<div class="viewcode-block" id="Population.Moe_de_Stefano_2017"><a class="viewcode-back" href="../../../grid.html#binarycpython.utils.grid.Population.Moe_de_Stefano_2017">[docs]</a> <span class="k">def</span> <span class="nf">Moe_de_Stefano_2017</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to handle setting the user input settings,</span>
+<span class="sd"> set up the data and load that into interpolators and</span>
+<span class="sd"> and then set the distribution functions</span>
+
+<span class="sd"> Takes a dictionary as its only argument</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Set the userinput</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">set_moe_distefano_settings</span><span class="p">(</span><span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>
+
+ <span class="c1"># Load the data</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_load_moe_distefano_data</span><span class="p">()</span>
+
+ <span class="c1"># construct the grid here</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_set_moe_distefano_distributions</span><span class="p">()</span></div>
+
+ <span class="k">def</span> <span class="nf">_clean_interpolators</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to clean up the interpolators after a run</span>
+
+<span class="sd"> We look in the MoeCache global variable for items that are interpolators.</span>
+<span class="sd"> Should be called by the general cleanup function AND the thread cleanup function</span>
+<span class="sd"> """</span>
+
+ <span class="n">interpolator_keys</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">Moecache</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">Moecache</span><span class="p">[</span><span class="n">key</span><span class="p">],</span> <span class="n">py_rinterpolate</span><span class="o">.</span><span class="n">Rinterpolate</span><span class="p">):</span>
+ <span class="n">interpolator_keys</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
+
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">interpolator_keys</span><span class="p">:</span>
+ <span class="n">Moecache</span><span class="p">[</span><span class="n">key</span><span class="p">]</span><span class="o">.</span><span class="n">destroy</span><span class="p">()</span>
+ <span class="k">del</span> <span class="n">Moecache</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span>
+
+ <span class="c1">##### Unsorted functions</span>
+ <span class="k">def</span> <span class="nf">_calculate_multiplicity_fraction</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">system_dict</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to calculate multiplicity fraction</span>
+
+<span class="sd"> Makes use of the self.bse_options['multiplicity'] value. If its not set, it will raise an error</span>
+
+<span class="sd"> grid_options['multiplicity_fraction_function'] will be checked for the choice</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Just return 1 if no option has been chosen</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'multiplicity_fraction_function'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Chosen not to use any multiplicity fraction."</span><span class="p">)</span>
+ <span class="k">return</span> <span class="mi">1</span>
+
+ <span class="c1"># Raise an error if the multiplicity is not set</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">system_dict</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'multiplicity'</span><span class="p">,</span> <span class="kc">None</span><span class="p">):</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Multiplicity value has not been set. When using a specific multiplicity fraction function please set the multiplicity"</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># Go over the chosen options</span>
+ <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'multiplicity_fraction_function'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="c1"># Arenou 2010 will be used</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"_calculate_multiplicity_fraction: Using Arenou 2010 to calculate multiplicity fractions"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">binary_fraction</span> <span class="o">=</span> <span class="n">Arenou2010_binary_fraction</span><span class="p">(</span><span class="n">system_dict</span><span class="p">[</span><span class="s1">'M_1'</span><span class="p">])</span>
+ <span class="n">multiplicity_fraction_dict</span> <span class="o">=</span> <span class="p">{</span><span class="mi">1</span><span class="p">:</span> <span class="mi">1</span><span class="o">-</span><span class="n">binary_fraction</span><span class="p">,</span> <span class="mi">2</span><span class="p">:</span> <span class="n">binary_fraction</span><span class="p">,</span> <span class="mi">3</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">4</span><span class="p">:</span> <span class="mi">0</span><span class="p">}</span>
+
+ <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'multiplicity_fraction_function'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+ <span class="c1"># Raghavan 2010 will be used</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"_calculate_multiplicity_fraction: Using Rhagavan 2010 to calculate multiplicity fractions"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">binary_fraction</span> <span class="o">=</span> <span class="n">raghavan2010_binary_fraction</span><span class="p">(</span><span class="n">system_dict</span><span class="p">[</span><span class="s1">'M_1'</span><span class="p">])</span>
+ <span class="n">multiplicity_fraction_dict</span> <span class="o">=</span> <span class="p">{</span><span class="mi">1</span><span class="p">:</span> <span class="mi">1</span><span class="o">-</span><span class="n">binary_fraction</span><span class="p">,</span> <span class="mi">2</span><span class="p">:</span> <span class="n">binary_fraction</span><span class="p">,</span> <span class="mi">3</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">4</span><span class="p">:</span> <span class="mi">0</span><span class="p">}</span>
+
+ <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'multiplicity_fraction_function'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+ <span class="c1"># We need to check several things now here:</span>
+
+ <span class="c1"># First, are the options for the M&S grid set? On start it is filled with the default settings</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"The M&S options do not seem to be set properly. The value is </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">])</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="c1"># Second: is the moecache filled.</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">Moecache</span><span class="p">:</span>
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"_calculate_multiplicity_fraction: Moecache is empty. It needs to be filled with the data for the interpolators. Loading the data now"</span><span class="p">,</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Load the data</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_load_moe_distefano_data</span><span class="p">()</span>
+
+ <span class="c1"># record the prev value</span>
+ <span class="n">prev_M1_value_ms</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'M_1'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+
+ <span class="c1"># Set value of M1 of the current system</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s1">'M_1'</span><span class="p">]</span> <span class="o">=</span> <span class="n">system_dict</span><span class="p">[</span><span class="s1">'M_1'</span><span class="p">]</span>
+
+ <span class="c1"># Calculate the multiplicity fraction</span>
+ <span class="n">multiplicity_fraction_list</span> <span class="o">=</span> <span class="n">Moe_de_Stefano_2017_multiplicity_fractions</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">])</span>
+
+ <span class="c1"># Turn into dict</span>
+ <span class="n">multiplicity_fraction_dict</span> <span class="o">=</span> <span class="p">{</span><span class="n">el</span><span class="o">+</span><span class="mi">1</span><span class="p">:</span><span class="n">multiplicity_fraction_list</span><span class="p">[</span><span class="n">el</span><span class="p">]</span> <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">multiplicity_fraction_list</span><span class="p">))}</span>
+
+ <span class="c1"># Set the prev value back</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s1">'m&s_options'</span><span class="p">][</span><span class="s1">'M_1'</span><span class="p">]</span> <span class="o">=</span> <span class="n">prev_M1_value_ms</span>
+
+ <span class="c1"># we don't know what to do next</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">msg</span> <span class="o">=</span> <span class="s2">"Chosen value for the multiplicity fraction function is not known."</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+ <span class="n">verbose_print</span><span class="p">(</span>
+ <span class="s2">"Multiplicity: </span><span class="si">{}</span><span class="s2"> multiplicity_fraction: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">system_dict</span><span class="p">[</span><span class="s1">'multiplicity'</span><span class="p">],</span> <span class="n">multiplicity_fraction_dict</span><span class="p">[</span><span class="n">system_dict</span><span class="p">[</span><span class="s1">'multiplicity'</span><span class="p">]]),</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">grid_options</span><span class="p">[</span><span class="s2">"verbosity"</span><span class="p">],</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">multiplicity_fraction_dict</span><span class="p">[</span><span class="n">system_dict</span><span class="p">[</span><span class="s1">'multiplicity'</span><span class="p">]]</span></div>
+</pre></div>
+
+ </div>
+
+ </div>
+ <footer>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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new file mode 100644
index 0000000000000000000000000000000000000000..de558dc79289d4e4c03c5f638115afd77e441922
--- /dev/null
+++ b/docs/build/html/_modules/binarycpython/utils/grid_options_defaults.html
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+<!DOCTYPE html>
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+<li class="toctree-l1"><a class="reference internal" href="../../../readme_link.html">Python module for binary_c</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../modules.html">Binarycpython code</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../../grid_options_descriptions.html">Population grid code options</a></li>
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+
+ <h1>Source code for binarycpython.utils.grid_options_defaults</h1><div class="highlight"><pre>
+<span></span><span class="sd">"""</span>
+<span class="sd">Module that contains the default options for the population grid code along with the description for these options, in the form of dictionaries: </span>
+<span class="sd"> - grid_options_defaults_dict: dictionary containing the default values for all the options</span>
+<span class="sd"> - grid_options_descriptions: dictionary containing the description for these options.</span>
+
+<span class="sd">There are several other functions in this module, mostly to generate help texts or documents:</span>
+<span class="sd"> - grid_options_help: interactive function for the user to get descriptions for options </span>
+<span class="sd"> - grid_options_description_checker: function that checks that checks which options have a description.</span>
+<span class="sd"> - write_grid_options_to_rst_file: function to generate the .rst document for the docs</span>
+
+<span class="sd">With this its also possible to automatically generate a document containing all the setting names + descriptions. </span>
+
+<span class="sd">All the options starting with _ should not be changed by the user except when you really know what you're doing (which is probably hacking the code :P)</span>
+<span class="sd">"""</span>
+
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython.utils.custom_logging_functions</span> <span class="kn">import</span> <span class="n">temp_dir</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.functions</span> <span class="kn">import</span> <span class="n">return_binary_c_version_info</span>
+
+<span class="n">_MS_VERBOSITY_LEVEL</span> <span class="o">=</span> <span class="mi">5</span>
+<span class="n">_MS_VERBOSITY_INTERPOLATOR_LEVEL</span> <span class="o">=</span> <span class="mi">6</span>
+<span class="n">_MS_VERBOSITY_INTERPOLATOR_EXTRA_LEVEL</span> <span class="o">=</span> <span class="mi">7</span>
+
+<span class="c1"># Options dict</span>
+<span class="n">grid_options_defaults_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="c1">##########################</span>
+ <span class="c1"># general (or unordered..)</span>
+ <span class="c1">##########################</span>
+ <span class="s2">"amt_cores"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="c1"># total amount of cores used to evolve the population</span>
+ <span class="s2">"parse_function"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> <span class="c1"># FUnction to parse the output with.</span>
+ <span class="s2">"multiplicity_fraction_function"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Which multiplicity fraction function to use. 0: None, 1: Arenou 2010, 2: Rhagavan 2010, 3: M&S 2017</span>
+ <span class="s2">"tmp_dir"</span><span class="p">:</span> <span class="n">temp_dir</span><span class="p">(),</span> <span class="c1"># Setting the temp dir of the program</span>
+ <span class="s2">"_main_pid"</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># Placeholder for the main process id of the run.</span>
+ <span class="s2">"combine_ensemble_with_thread_joining"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span> <span class="c1"># Flag on whether to combine everything and return it to the user or if false: write it to data_dir/ensemble_output_{popuation_id}_{thread_id}.json</span>
+ <span class="s2">"_commandline_input"</span><span class="p">:</span> <span class="s2">""</span><span class="p">,</span>
+ <span class="s2">"log_runtime_systems"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># whether to log the runtime of the systems (1 file per thread. stored in the tmp_dir)</span>
+ <span class="s2">"_actually_evolve_system"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span> <span class="c1"># Whether to actually evolve the systems of just act as if. for testing. used in _process_run_population_grid</span>
+ <span class="s2">"max_queue_size"</span><span class="p">:</span> <span class="mi">1000</span><span class="p">,</span> <span class="c1"># Maximum size of the system call queue.</span>
+ <span class="s2">"run_zero_probability_system"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span> <span class="c1"># Whether to run the zero probability systems</span>
+ <span class="s2">"_zero_prob_stars_skipped"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span>
+ <span class="s2">"ensemble_factor_in_probability_weighted_mass"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="c1"># Whether to multiply the ensemble results by 1/probability_weighted_mass</span>
+ <span class="c1">##########################</span>
+ <span class="c1"># Execution log:</span>
+ <span class="c1">##########################</span>
+ <span class="s2">"verbosity"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Level of verbosity of the simulation</span>
+ <span class="s2">"log_file"</span><span class="p">:</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="n">temp_dir</span><span class="p">(),</span> <span class="s2">"binary_c_python.log"</span>
+ <span class="p">),</span> <span class="c1"># Set to None to not log to file. The directory will be created</span>
+ <span class="c1">##########################</span>
+ <span class="c1"># binary_c files</span>
+ <span class="c1">##########################</span>
+ <span class="s2">"_binary_c_executable"</span><span class="p">:</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"BINARY_C"</span><span class="p">],</span> <span class="s2">"binary_c"</span>
+ <span class="p">),</span> <span class="c1"># TODO: make this more robust</span>
+ <span class="s2">"_binary_c_shared_library"</span><span class="p">:</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"BINARY_C"</span><span class="p">],</span> <span class="s2">"src"</span><span class="p">,</span> <span class="s2">"libbinary_c.so"</span>
+ <span class="p">),</span> <span class="c1"># TODO: make this more robust</span>
+ <span class="s2">"_binary_c_config_executable"</span><span class="p">:</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"BINARY_C"</span><span class="p">],</span> <span class="s2">"binary_c-config"</span>
+ <span class="p">),</span> <span class="c1"># TODO: make this more robust</span>
+ <span class="s2">"_binary_c_dir"</span><span class="p">:</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"BINARY_C"</span><span class="p">],</span>
+ <span class="c1">##########################</span>
+ <span class="c1"># M&S internal settings</span>
+ <span class="c1">##########################</span>
+ <span class="s2">"_loaded_ms_data"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="c1"># Holds flag whether the M&S data is loaded into memory</span>
+ <span class="s2">"_set_ms_grid"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="c1"># Whether the M&S grid has been loaded</span>
+ <span class="s2">"m&s_options"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> <span class="c1"># Holds the M&S options.</span>
+ <span class="c1">##########################</span>
+ <span class="c1"># Custom logging</span>
+ <span class="c1">##########################</span>
+ <span class="s2">"C_auto_logging"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> <span class="c1"># Should contain a dictionary where the kes are they headers</span>
+ <span class="c1"># and the values are lists of parameters that should be logged.</span>
+ <span class="c1"># This will get parsed by autogen_C_logging_code in custom_loggion_functions.py</span>
+ <span class="s2">"C_logging_code"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> <span class="c1"># Should contain a string which holds the logging code.</span>
+ <span class="s2">"custom_logging_func_memaddr"</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># Contains the custom_logging functions memory address</span>
+ <span class="s2">"_custom_logging_shared_library_file"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> <span class="c1"># file containing the .so file</span>
+ <span class="c1">##########################</span>
+ <span class="c1"># Store pre-loading:</span>
+ <span class="c1">##########################</span>
+ <span class="s2">"_store_memaddr"</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># Contains the store object memory adress, useful for preloading.</span>
+ <span class="c1"># defaults to -1 and isnt used if thats the default then.</span>
+ <span class="c1">##########################</span>
+ <span class="c1"># Log args: logging of arguments</span>
+ <span class="c1">##########################</span>
+ <span class="s2">"log_args"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># unused</span>
+ <span class="s2">"log_args_dir"</span><span class="p">:</span> <span class="s2">"/tmp/"</span><span class="p">,</span> <span class="c1"># unused</span>
+ <span class="c1">##########################</span>
+ <span class="c1"># Population evolution</span>
+ <span class="c1">##########################</span>
+ <span class="c1">## General</span>
+ <span class="s2">"evolution_type"</span><span class="p">:</span> <span class="s2">"grid"</span><span class="p">,</span> <span class="c1"># Flag for type of population evolution</span>
+ <span class="s2">"_evolution_type_options"</span><span class="p">:</span> <span class="p">[</span>
+ <span class="s2">"grid"</span><span class="p">,</span>
+ <span class="p">],</span> <span class="c1"># available choices for type of population evolution. # TODO: fill later with monte carlo, sourcefile</span>
+ <span class="s2">"_system_generator"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> <span class="c1"># value that holds the function that generates the system</span>
+ <span class="c1"># (result of building the grid script)</span>
+ <span class="s2">"source_file_filename"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> <span class="c1"># filename for the source</span>
+ <span class="s2">"_count"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># count of systems</span>
+ <span class="s2">"_total_starcount"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Total count of systems in this generator</span>
+ <span class="s2">"_probtot"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># total probability</span>
+ <span class="s2">"weight"</span><span class="p">:</span> <span class="mf">1.0</span><span class="p">,</span> <span class="c1"># weighting for the probability</span>
+ <span class="s2">"repeat"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="c1"># number of times to repeat each system (probability is adjusted to be 1/repeat)</span>
+ <span class="s2">"_start_time_evolution"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Start time of the grid</span>
+ <span class="s2">"_end_time_evolution"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># end time of the grid</span>
+ <span class="s2">"_errors_found"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="c1"># Flag whether there are any errors from binary_c</span>
+ <span class="s2">"_errors_exceeded"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="c1"># Flag whether the amt of errors have exceeded the limit</span>
+ <span class="s2">"_failed_count"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># amt of failed systems</span>
+ <span class="s2">"_failed_prob"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Summed probability of failed systems</span>
+ <span class="s2">"failed_systems_threshold"</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span> <span class="c1"># Maximum failed systems per process allowed to fail before the process stops logging the failing systems.</span>
+ <span class="s2">"_failed_systems_error_codes"</span><span class="p">:</span> <span class="p">[],</span> <span class="c1"># List to store the unique error codes</span>
+ <span class="s2">"_population_id"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Random id of this grid/population run, Unique code for the population. Should be set only once by the controller process.</span>
+ <span class="s2">"_total_mass_run"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># To count the total mass that thread/process has ran</span>
+ <span class="s2">"_total_probability_weighted_mass_run"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># To count the total mass * probability for each system that thread/process has ran</span>
+ <span class="s2">"modulo"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="c1"># run modulo n of the grid. #TODO: fix this</span>
+ <span class="c1">## Grid type evolution</span>
+ <span class="s2">"_grid_variables"</span><span class="p">:</span> <span class="p">{},</span> <span class="c1"># grid variables</span>
+ <span class="s2">"gridcode_filename"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> <span class="c1"># filename of gridcode</span>
+ <span class="c1">## Monte carlo type evolution</span>
+ <span class="c1"># TODO: make MC options</span>
+ <span class="c1">## Evolution from source file</span>
+ <span class="c1"># TODO: make run from sourcefile options.</span>
+ <span class="c1">## Other no yet implemented parts for the population evolution part</span>
+ <span class="c1"># # start at this model number: handy during debugging</span>
+ <span class="c1"># # to skip large parts of the grid</span>
+ <span class="c1"># start_at => 0</span>
+ <span class="c1"># global_error_string => undef,</span>
+ <span class="c1"># monitor_files => [],</span>
+ <span class="c1"># nextlogtime => 0,</span>
+ <span class="c1"># nthreads => 1, # number of threads</span>
+ <span class="c1"># # start at model offset (0-based, so first model is zero)</span>
+ <span class="c1"># offset => 0,</span>
+ <span class="c1"># resolution=>{</span>
+ <span class="c1"># shift =>0,</span>
+ <span class="c1"># previous=>0,</span>
+ <span class="c1"># n =>{} # per-variable resolution</span>
+ <span class="c1"># },</span>
+ <span class="c1"># thread_q => undef,</span>
+ <span class="c1"># threads => undef, # array of threads objects</span>
+ <span class="c1"># tstart => [gettimeofday], # flexigrid start time</span>
+ <span class="c1"># __nvar => 0, # number of grid variables</span>
+ <span class="c1"># _varstub => undef,</span>
+ <span class="c1"># _lock => undef,</span>
+ <span class="c1"># _evcode_pids => [],</span>
+ <span class="c1"># };</span>
+ <span class="c1">########################################</span>
+ <span class="c1"># Slurm stuff</span>
+ <span class="c1">########################################</span>
+ <span class="s2">"slurm"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># dont use the slurm by default. 1 = use slurm</span>
+ <span class="c1"># "slurm_ntasks": 1, # CPUs required per array job: usually only need this</span>
+ <span class="c1"># "slurm_command": "", # Command that slurm runs (e.g. evolve or join_datafiles)</span>
+ <span class="c1"># "slurm_dir": "", # working directory containing scripts output logs etc.</span>
+ <span class="c1"># "slurm_njobs": 0, # number of scripts; set to 0 as default</span>
+ <span class="c1"># "slurm_jobid": "", # slurm job id (%A)</span>
+ <span class="c1"># "slurm_memory": 512, # in MB, the memory use of the job</span>
+ <span class="c1"># "slurm_warn_max_memory": 1024, # in MB : warn if mem req. > this</span>
+ <span class="c1"># "slurm_use_all_node_CPUs": 0, # 1 = use all of a node's CPUs. 0 = use a given amount of CPUs</span>
+ <span class="c1"># "slurm_postpone_join": 0, # if 1 do not join on slurm, join elsewhere. want to do it off the slurm grid (e.g. with more RAM)</span>
+ <span class="c1"># "slurm_jobarrayindex": "", # slurm job array index (%a)</span>
+ <span class="c1"># "slurm_jobname": "binary_grid", # default</span>
+ <span class="c1"># "slurm_partition": None,</span>
+ <span class="c1"># "slurm_time": 0, # total time. 0 = infinite time</span>
+ <span class="c1"># "slurm_postpone_sbatch": 0, # if 1: don't submit, just make the script</span>
+ <span class="c1"># "slurm_array": None, # override for --array, useful for rerunning jobs</span>
+ <span class="c1"># "slurm_use_all_node_CPUs": 0, # if given nodes, set to 1</span>
+ <span class="c1"># # if given CPUs, set to 0</span>
+ <span class="c1"># # you will want to use this if your Slurm SelectType is e.g. linear</span>
+ <span class="c1"># # which means it allocates all the CPUs in a node to the job</span>
+ <span class="c1"># "slurm_control_CPUs": 0, # if so, leave this many for Pythons control (0)</span>
+ <span class="c1"># "slurm_array": None, # override for --array, useful for rerunning jobs</span>
+ <span class="c1"># "slurm_partition": None, # MUST be defined</span>
+ <span class="c1"># "slurm_extra_settings": {}, # Place to put extra configuration for the SLURM batch file. The key and value of the dict will become the key and value of the line in te slurm batch file. Will be put in after all the other settings (and before the command). Take care not to overwrite something without really meaning to do so.</span>
+ <span class="c1">########################################</span>
+ <span class="c1"># Condor stuff</span>
+ <span class="c1">########################################</span>
+ <span class="s2">"condor"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># 1 to use condor, 0 otherwise</span>
+ <span class="c1"># "condor_command": "", # condor command e.g. "evolve", "join"</span>
+ <span class="c1"># "condor_dir": "", # working directory containing e.g. scripts, output, logs (e.g. should be NFS available to all)</span>
+ <span class="c1"># "condor_njobs": "", # number of scripts/jobs that CONDOR will run in total</span>
+ <span class="c1"># "condor_jobid": "", # condor job id</span>
+ <span class="c1"># "condor_postpone_join": 0, # if 1, data is not joined, e.g. if you want to do it off the condor grid (e.g. with more RAM)</span>
+ <span class="c1"># # "condor_join_machine": None, # if defined then this is the machine on which the join command should be launched (must be sshable and not postponed)</span>
+ <span class="c1"># "condor_join_pwd": "", # directory the join should be in (defaults to $ENV{PWD} if undef)</span>
+ <span class="c1"># "condor_memory": 1024, # in MB, the memory use (ImageSize) of the job</span>
+ <span class="c1"># "condor_universe": "vanilla", # usually vanilla universe</span>
+ <span class="c1"># "condor_extra_settings": {}, # Place to put extra configuration for the CONDOR submit file. The key and value of the dict will become the key and value of the line in te slurm batch file. Will be put in after all the other settings (and before the command). Take care not to overwrite something without really meaning to do so.</span>
+ <span class="c1"># snapshots and checkpoints</span>
+ <span class="c1"># condor_snapshot_on_kill=>0, # if 1 snapshot on SIGKILL before exit</span>
+ <span class="c1"># condor_load_from_snapshot=>0, # if 1 check for snapshot .sv file and load it if found</span>
+ <span class="c1"># condor_checkpoint_interval=>0, # checkpoint interval (seconds)</span>
+ <span class="c1"># condor_checkpoint_stamp_times=>0, # if 1 then files are given timestamped names</span>
+ <span class="c1"># (warning: lots of files!), otherwise just store the lates</span>
+ <span class="c1"># condor_streams=>0, # stream stderr/stdout by default (warning: might cause heavy network load)</span>
+ <span class="c1"># condor_save_joined_file=>0, # if 1 then results/joined contains the results</span>
+ <span class="c1"># (useful for debugging, otherwise a lot of work)</span>
+ <span class="c1"># condor_requirements=>'', # used?</span>
+ <span class="c1"># # resubmit options : if the status of a condor script is</span>
+ <span class="c1"># # either 'finished','submitted','running' or 'crashed',</span>
+ <span class="c1"># # decide whether to resubmit it.</span>
+ <span class="c1"># # NB Normally the status is empty, e.g. on the first run.</span>
+ <span class="c1"># # These are for restarting runs.</span>
+ <span class="c1"># condor_resubmit_finished=>0,</span>
+ <span class="c1"># condor_resubmit_submitted=>0,</span>
+ <span class="c1"># condor_resubmit_running=>0,</span>
+ <span class="c1"># condor_resubmit_crashed=>0,</span>
+ <span class="c1">##########################</span>
+ <span class="c1"># Unordered. Need to go through this. Copied from the perl implementation.</span>
+ <span class="c1">##########################</span>
+ <span class="c1">##</span>
+ <span class="c1"># return_array_refs=>1, # quicker data parsing mode</span>
+ <span class="c1"># sort_args=>1,</span>
+ <span class="c1"># save_args=>1,</span>
+ <span class="c1"># nice=>'nice -n +20', # nice command e.g. 'nice -n +10' or ''</span>
+ <span class="c1"># timeout=>15, # seconds until timeout</span>
+ <span class="c1"># log_filename=>"/scratch/davidh/results_simulations/tmp/log.txt",</span>
+ <span class="c1"># # current_log_filename=>"/scratch/davidh/results_simulations/tmp/grid_errors.log",</span>
+ <span class="c1">############################################################</span>
+ <span class="c1"># Set default grid properties (in %self->{_grid_options}}</span>
+ <span class="c1"># and %{$self->{_bse_options}})</span>
+ <span class="c1"># This is the first thing that should be called by the user!</span>
+ <span class="c1">############################################################</span>
+ <span class="c1"># # set signal handlers for timeout</span>
+ <span class="c1"># $self->set_class_signal_handlers();</span>
+ <span class="c1"># # set operating system</span>
+ <span class="c1"># my $os = rob_misc::operating_system();</span>
+ <span class="c1"># %{$self->{_grid_options}}=(</span>
+ <span class="c1"># # save operating system</span>
+ <span class="c1"># operating_system=>$os,</span>
+ <span class="c1"># # process name</span>
+ <span class="c1"># process_name => 'binary_grid'.$VERSION,</span>
+ <span class="c1"># grid_defaults_set=>1, # so we know the grid_defaults function has been called</span>
+ <span class="c1"># # grid suspend files: assume binary_c by default</span>
+ <span class="c1"># suspend_files=>[$tmp.'/force_binary_c_suspend',</span>
+ <span class="c1"># './force_binary_c_suspend'],</span>
+ <span class="c1"># snapshot_file=>$tmp.'/binary_c-snapshot',</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># # infomration about the running grid script</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># working_directory=>cwd(), # the starting directory</span>
+ <span class="c1"># perlscript=>$0, # the name of the perlscript</span>
+ <span class="c1"># perlscript_arguments=>join(' ',@ARGV), # arguments as a string</span>
+ <span class="c1"># perl_executable=>$^X, # the perl executable</span>
+ <span class="c1"># command_line=>join(' ',$0,@ARGV), # full command line</span>
+ <span class="c1"># process_ID=>$$, # process ID of the main perl script</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># # GRID</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># # if undef, generate gridcode, otherwise load the gridcode</span>
+ <span class="c1"># # from this file. useful for debugging</span>
+ <span class="c1"># gridcode_from_file => undef,</span>
+ <span class="c1"># # assume binary_grid perl backend by default</span>
+ <span class="c1"># backend =></span>
+ <span class="c1"># $self->{_grid_options}->{backend} //</span>
+ <span class="c1"># $binary_grid2::backend //</span>
+ <span class="c1"># 'binary_grid::Perl',</span>
+ <span class="c1"># # custom C function for output : this automatically</span>
+ <span class="c1"># # binds if a function is available.</span>
+ <span class="c1"># C_logging_code => undef,</span>
+ <span class="c1"># C_auto_logging => undef,</span>
+ <span class="c1"># custom_output_C_function_pointer => binary_c_function_bind(),</span>
+ <span class="c1"># # control flow</span>
+ <span class="c1"># rungrid=>1, # usually run the grid, but can be 0</span>
+ <span class="c1"># # to skip it (e.g. for condor/slurm runs)</span>
+ <span class="c1"># merge_datafiles=>'',</span>
+ <span class="c1"># merge_datafiles_filelist=>'',</span>
+ <span class="c1"># # parameter space options</span>
+ <span class="c1"># binary=>0, # set to 0 for single stars, 1 for binaries</span>
+ <span class="c1"># # if use_full_resolution is 1, then run a dummy grid to</span>
+ <span class="c1"># # calculate the resolution. this could be slow...</span>
+ <span class="c1"># use_full_resolution => 1,</span>
+ <span class="c1"># # the probability in any distribution must be within</span>
+ <span class="c1"># # this tolerance of 1.0, ignored if undef (if you want</span>
+ <span class="c1"># # to run *part* of the parameter space then this *must* be undef)</span>
+ <span class="c1"># probability_tolerance=>undef,</span>
+ <span class="c1"># # how to deal with a failure of the probability tolerance:</span>
+ <span class="c1"># # 0 = nothing</span>
+ <span class="c1"># # 1 = warning</span>
+ <span class="c1"># # 2 = stop</span>
+ <span class="c1"># probability_tolerance_failmode=>1,</span>
+ <span class="c1"># # add up and log system error count and probability</span>
+ <span class="c1"># add_up_system_errors=>1,</span>
+ <span class="c1"># log_system_errors=>1,</span>
+ <span class="c1"># # codes, paths, executables etc.</span>
+ <span class="c1"># # assume binary_c by default, and set its defaults</span>
+ <span class="c1"># code=>'binary_c',</span>
+ <span class="c1"># arg_prefix=>'--',</span>
+ <span class="c1"># prog=>'binary_c', # executable</span>
+ <span class="c1"># nice=>'nice -n +0', # nice command</span>
+ <span class="c1"># ionice=>'',</span>
+ <span class="c1"># # compress output?</span>
+ <span class="c1"># binary_c_compression=>0,</span>
+ <span class="c1"># # get output as array of pre-split array refs</span>
+ <span class="c1"># return_array_refs=>1,</span>
+ <span class="c1"># # environment</span>
+ <span class="c1"># shell_environment=>undef,</span>
+ <span class="c1"># libpath=>undef, # for backwards compatibility</span>
+ <span class="c1"># # where is binary_c? need this to get the values of some counters</span>
+ <span class="c1"># rootpath=>$self->okdir($ENV{BINARY_C_ROOTPATH}) //</span>
+ <span class="c1"># $self->okdir($ENV{HOME}.'/progs/stars/binary_c') //</span>
+ <span class="c1"># '.' , # last option is a fallback ... will fail if it doesn't exist</span>
+ <span class="c1"># srcpath=>$self->okdir($ENV{BINARY_C_SRCPATH}) //</span>
+ <span class="c1"># $self->okdir($ENV{BINARY_C_ROOTPATH}.'/src') //</span>
+ <span class="c1"># $self->okdir($ENV{HOME}.'/progs/stars/binary_c/src') //</span>
+ <span class="c1"># './src' , # last option is fallback... will fail if it doesn't exist</span>
+ <span class="c1"># # stack size per thread in megabytes</span>
+ <span class="c1"># threads_stack_size=>50,</span>
+ <span class="c1"># # thread sleep time between starting the evolution code and starting</span>
+ <span class="c1"># # the grid</span>
+ <span class="c1"># thread_presleep=>0,</span>
+ <span class="c1"># # threads</span>
+ <span class="c1"># # Max time a thread can sit looping (with calls to tbse_line)</span>
+ <span class="c1"># # before a warning is issued : NB this does not catch real freezes,</span>
+ <span class="c1"># # just infinite loops (which still output)</span>
+ <span class="c1"># thread_max_freeze_time_before_warning=>10,</span>
+ <span class="c1"># # run all models by default: modulo=1, offset=0</span>
+ <span class="c1"># modulo=>1,</span>
+ <span class="c1"># offset=>0,</span>
+ <span class="c1"># # max number of stars on the queue</span>
+ <span class="c1"># maxq_per_thread => 100,</span>
+ <span class="c1"># # data dump file : undef by default (do nothing)</span>
+ <span class="c1"># results_hash_dumpfile => '',</span>
+ <span class="c1"># # compress files with bzip2 by default</span>
+ <span class="c1"># compress_results_hash => 1,</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># # CPU</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># cpu_cap=>0, # if 1, limits to one CPU</span>
+ <span class="c1"># cpu_affinity => 0, # do not bind to a CPU by default</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># # Code, Timeouts, Signals</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># binary_grid_code_filtering=>1, # you want this, it's (MUCH!) faster</span>
+ <span class="c1"># pre_filter_file=>undef, # dump pre filtered code to this file</span>
+ <span class="c1"># post_filter_file=>undef, # dump post filtered code to this file</span>
+ <span class="c1"># timeout=>30, # timeout in seconds</span>
+ <span class="c1"># timeout_vb=>0, # no timeout logging</span>
+ <span class="c1"># tvb=>0, # no thread logging</span>
+ <span class="c1"># nfs_sleep=>1, # time to wait for NFS to catch up with file accesses</span>
+ <span class="c1"># # flexigrid checks the timeouts every</span>
+ <span class="c1"># # flexigrid_timeout_check_interval seconds</span>
+ <span class="c1"># flexigrid_timeout_check_interval=>0.01,</span>
+ <span class="c1"># # this is set to 1 when the grid is finished</span>
+ <span class="c1"># flexigrid_finished=>0,</span>
+ <span class="c1"># # allow signals by default</span>
+ <span class="c1"># 'no signals'=>0,</span>
+ <span class="c1"># # but perhaps disable specific signals?</span>
+ <span class="c1"># 'disable signal'=>{INT=>0,ALRM=>0,CONT=>0,USR1=>0,STOP=>0},</span>
+ <span class="c1"># # dummy variables</span>
+ <span class="c1"># single_star_period=>1e50, # orbital period of a single star</span>
+ <span class="c1"># #### timers : set timers to 0 (or empty list) to ignore,</span>
+ <span class="c1"># #### NB these must be given context (e.g. main::xyz)</span>
+ <span class="c1"># #### for functions not in binary_grid</span>
+ <span class="c1"># timers=>0,</span>
+ <span class="c1"># timer_subroutines=>[</span>
+ <span class="c1"># # this is a suggested default list</span>
+ <span class="c1"># 'flexigrid',</span>
+ <span class="c1"># 'set_next_alarm',</span>
+ <span class="c1"># 'vbout',</span>
+ <span class="c1"># 'vbout_fast',</span>
+ <span class="c1"># 'run_flexigrid_thread',</span>
+ <span class="c1"># 'thread_vb'</span>
+ <span class="c1"># ],</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># # INPUT/OUTPUT</span>
+ <span class="c1"># ########################################</span>
+ <span class="c1"># blocking=>undef, # not yet set</span>
+ <span class="c1"># # prepend command with stdbuf to stop buffering (if available)</span>
+ <span class="c1"># stdbuf_command=>`stdbuf --version`=~/stdbuf \(GNU/ ? ' stdbuf -i0 -o0 -e0 ' : undef,</span>
+ <span class="c1"># vb=>("@ARGV"=~/\Wvb=(\d+)\W/)[0] // 0, # set to 1 (or more) for verbose output to the screen</span>
+ <span class="c1"># log_dt_secs=>1, # log output to stdout~every log_dt_secs seconds</span>
+ <span class="c1"># nmod=>10, # every nmod models there is output to the screen,</span>
+ <span class="c1"># # if log_dt_secs has been exceeded also (ignored if 0)</span>
+ <span class="c1"># colour=>1, # set to 1 to use the ANSIColor module for colour output</span>
+ <span class="c1"># log_args=>0, # do not log args in files</span>
+ <span class="c1"># log_fins=>0, # log end of runs too</span>
+ <span class="c1"># sort_args=>0, # do not sort args</span>
+ <span class="c1"># save_args=>0, # do not save args in a string</span>
+ <span class="c1"># log_args_dir=>$tmp, # where to output the args files</span>
+ <span class="c1"># always_reopen_arg_files=>0, # if 1 then arg files are always closed and reopened</span>
+ <span class="c1"># (may cause a lot of disk I/O)</span>
+ <span class="c1"># lazy_arg_sending=>1, # if 1, the previous args are remembered and</span>
+ <span class="c1"># # only args that changed are sent (except M1, M2 etc. which always</span>
+ <span class="c1"># # need sending)</span>
+ <span class="c1"># # force output files to open on a local disk (not an NFS partion)</span>
+ <span class="c1"># # not sure how to do this on another OS</span>
+ <span class="c1"># force_local_hdd_use=>($os eq 'unix'),</span>
+ <span class="c1"># # for verbose output, define the newline</span>
+ <span class="c1"># # For terminals use "\x0d", for files use "\n", in the</span>
+ <span class="c1"># # case of multiple threads this will be set to \n</span>
+ <span class="c1"># newline=> "\x0d",</span>
+ <span class="c1"># # use reset_stars_defaults</span>
+ <span class="c1"># reset_stars_defaults=>1,</span>
+ <span class="c1"># # set signal captures: argument determines behaviour when the code locks up</span>
+ <span class="c1"># # 0: exit</span>
+ <span class="c1"># # 1: reset and try the next star (does this work?!)</span>
+ <span class="c1"># alarm_procedure=>1,</span>
+ <span class="c1"># # exit on eval failure?</span>
+ <span class="c1"># exit_on_eval_failure=>1,</span>
+ <span class="c1"># ## functions: these should be set by perl lexical name</span>
+ <span class="c1"># ## (they are automatically converted to function pointers</span>
+ <span class="c1"># ## at runtime)</span>
+ <span class="c1"># # function to be called just before a thread is created</span>
+ <span class="c1"># thread_precreate_function=>undef,</span>
+ <span class="c1"># thread_precreate_function_pointer=>undef,</span>
+ <span class="c1"># # function to be called just after a thread is created</span>
+ <span class="c1"># # (from inside the thread just before *grid () call)</span>
+ <span class="c1"># threads_entry_function=>undef,</span>
+ <span class="c1"># threads_entry_function_pointer=>undef,</span>
+ <span class="c1"># # function to be called just after a thread is finished</span>
+ <span class="c1"># # (from inside the thread just after *grid () call)</span>
+ <span class="c1"># threads_flush_function=>undef,</span>
+ <span class="c1"># threads_flush_function_pointer=>undef,</span>
+ <span class="c1"># # function to be called just after a thread is created</span>
+ <span class="c1"># # (but external to the thread)</span>
+ <span class="c1"># thread_postrun_function=>undef,</span>
+ <span class="c1"># thread_postrun_function_pointer=>undef,</span>
+ <span class="c1"># # function to be called just before a thread join</span>
+ <span class="c1"># # (external to the thread)</span>
+ <span class="c1"># thread_prejoin_function=>undef,</span>
+ <span class="c1"># thread_prejoin_function_pointer=>undef,</span>
+ <span class="c1"># # default to using the internal join_flexigrid_thread function</span>
+ <span class="c1"># threads_join_function=>'binary_grid2::join_flexigrid_thread',</span>
+ <span class="c1"># threads_join_function_pointer=>sub{return $self->join_flexigrid_thread(@_)},</span>
+ <span class="c1"># # function to be called just after a thread join</span>
+ <span class="c1"># # (external to the thread)</span>
+ <span class="c1"># thread_postjoin_function=>undef,</span>
+ <span class="c1"># thread_postjoin_function_pointer=>undef,</span>
+ <span class="c1"># # usually, parse_bse in the main script is called</span>
+ <span class="c1"># parse_bse_function=>'main::parse_bse',</span>
+ <span class="c1"># parse_bse_function_pointer=>undef,</span>
+ <span class="c1"># # if starting_snapshot_file is defined, load initial</span>
+ <span class="c1"># # values for the grid from the snapshot file rather</span>
+ <span class="c1"># # than a normal initiation: this enables you to</span>
+ <span class="c1"># # stop and start a grid</span>
+ <span class="c1"># starting_snapshot_file=>undef,</span>
+<span class="p">}</span>
+
+<span class="c1"># Grid containing the descriptions of the options # TODO: add input types for all of them</span>
+<span class="n">grid_options_descriptions</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"tmp_dir"</span><span class="p">:</span> <span class="s2">"Directory where certain types of output are stored. The grid code is stored in that directory, as well as the custom logging libraries. Log files and other diagnostics will usually be written to this location, unless specified otherwise"</span><span class="p">,</span> <span class="c1"># TODO: improve this</span>
+ <span class="s2">"_binary_c_dir"</span><span class="p">:</span> <span class="s2">"Director where binary_c is stored. This options are not really used"</span><span class="p">,</span>
+ <span class="s2">"_binary_c_config_executable"</span><span class="p">:</span> <span class="s2">"Full path of the binary_c-config executable. This options is not used in the population object."</span><span class="p">,</span>
+ <span class="s2">"_binary_c_executable"</span><span class="p">:</span> <span class="s2">"Full path to the binary_c executable. This options is not used in the population object."</span><span class="p">,</span>
+ <span class="s2">"_binary_c_shared_library"</span><span class="p">:</span> <span class="s2">"Full path to the libbinary_c file. This options is not used in the population object"</span><span class="p">,</span>
+ <span class="s2">"verbosity"</span><span class="p">:</span> <span class="s2">"Verbosity of the population code. Default is 0, by which only errors will be printed. Higher values will show more output, which is good for debugging."</span><span class="p">,</span>
+ <span class="s2">"binary"</span><span class="p">:</span> <span class="s2">"Set this to 1 if the population contains binaries. Input: int"</span><span class="p">,</span> <span class="c1"># TODO: write what effect this has.</span>
+ <span class="s2">"amt_cores"</span><span class="p">:</span> <span class="s2">"The amount of cores that the population grid will use. The multiprocessing is useful but make sure to figure out how many logical cores the machine has. The core is multiprocessed, not multithreaded, and will gain no extra speed when amt_cores exceeds the amount of logical cores. Input: int"</span><span class="p">,</span>
+ <span class="s2">"_start_time_evolution"</span><span class="p">:</span> <span class="s2">"Variable storing the start timestamp of the population evolution. Set by the object itself."</span><span class="p">,</span> <span class="c1"># TODO: make sure this is logged to a file</span>
+ <span class="s2">"_end_time_evolution"</span><span class="p">:</span> <span class="s2">"Variable storing the end timestamp of the population evolution. Set by the object itself"</span><span class="p">,</span> <span class="c1"># TODO: make sure this is logged to a file</span>
+ <span class="s2">"_total_starcount"</span><span class="p">:</span> <span class="s2">"Variable storing the total amount of systems in the generator. Used and set by the population object."</span><span class="p">,</span>
+ <span class="s2">"_custom_logging_shared_library_file"</span><span class="p">:</span> <span class="s2">"filename for the custom_logging shared library. Used and set by the population object"</span><span class="p">,</span>
+ <span class="s2">"_errors_found"</span><span class="p">:</span> <span class="s2">"Variable storing a boolean flag whether errors by binary_c are encountered."</span><span class="p">,</span>
+ <span class="s2">"_errors_exceeded"</span><span class="p">:</span> <span class="s2">"Variable storing a boolean flag whether the amount of errors was higher than the set threshold (failed_systems_threshold). If True, then the commandline arguments of the failing systems will not be stored in the failed_system_log files."</span><span class="p">,</span>
+ <span class="s2">"source_file_filename"</span><span class="p">:</span> <span class="s2">"Variable containing the source file containing lines of binary_c commandline calls. These all have to start with binary_c."</span><span class="p">,</span> <span class="c1"># TODO: Expand</span>
+ <span class="s2">"C_auto_logging"</span><span class="p">:</span> <span class="s2">"Dictionary containing parameters to be logged by binary_c. The structure of this dictionary is as follows: the key is used as the headline which the user can then catch. The value at that key is a list of binary_c system parameters (like star[0].mass)"</span><span class="p">,</span>
+ <span class="s2">"C_logging_code"</span><span class="p">:</span> <span class="s2">"Variable to store the exact code that is used for the custom_logging. In this way the user can do more complex logging, as well as putting these logging strings in files."</span><span class="p">,</span>
+ <span class="s2">"_failed_count"</span><span class="p">:</span> <span class="s2">"Variable storing the amount of failed systems."</span><span class="p">,</span>
+ <span class="s2">"_evolution_type_options"</span><span class="p">:</span> <span class="s2">"List containing the evolution type options."</span><span class="p">,</span>
+ <span class="s2">"_failed_prob"</span><span class="p">:</span> <span class="s2">"Variable storing the total probability of all the failed systems"</span><span class="p">,</span>
+ <span class="s2">"_failed_systems_error_codes"</span><span class="p">:</span> <span class="s2">"List storing the unique error codes raised by binary_c of the failed systems"</span><span class="p">,</span>
+ <span class="s2">"_grid_variables"</span><span class="p">:</span> <span class="s2">"Dictionary storing the grid_variables. These contain properties which are accessed by the _generate_grid_code function"</span><span class="p">,</span>
+ <span class="s2">"_population_id"</span><span class="p">:</span> <span class="s2">"Variable storing a unique 32-char hex string."</span><span class="p">,</span>
+ <span class="s2">"_commandline_input"</span><span class="p">:</span> <span class="s2">"String containing the arguments passed to the population object via the command line. Set and used by the population object."</span><span class="p">,</span>
+ <span class="s2">"_system_generator"</span><span class="p">:</span> <span class="s2">"Function object that contains the system generator function. This can be from a grid, or a source file, or a montecarlo grid."</span><span class="p">,</span>
+ <span class="s2">"gridcode_filename"</span><span class="p">:</span> <span class="s2">"Filename for the grid code. Set and used by the population object. TODO: allow the user to provide their own function, rather than only a generated function."</span><span class="p">,</span>
+ <span class="s2">"log_args"</span><span class="p">:</span> <span class="s2">"Boolean to log the arguments. Unused "</span><span class="p">,</span> <span class="c1"># TODO: fix the functionality for this and describe it properly</span>
+ <span class="s2">"log_args_dir"</span><span class="p">:</span> <span class="s2">"Directory to log the arguments to. Unused"</span><span class="p">,</span> <span class="c1"># TODO: fix the functionality for this and describe it properly</span>
+ <span class="s2">"log_file"</span><span class="p">:</span> <span class="s2">"Log file for the population object. Unused"</span><span class="p">,</span> <span class="c1"># TODO: fix the functionality for this and describe it properly</span>
+ <span class="s2">"custom_logging_func_memaddr"</span><span class="p">:</span> <span class="s2">"Memory adress where the custom_logging_function is stored. Input: int"</span><span class="p">,</span>
+ <span class="s2">"_count"</span><span class="p">:</span> <span class="s2">"Counter tracking which system the generator is on."</span><span class="p">,</span>
+ <span class="s2">"_probtot"</span><span class="p">:</span> <span class="s2">"Total probability of the population."</span><span class="p">,</span> <span class="c1"># TODO: check whether this is used properly throughout</span>
+ <span class="s2">"_main_pid"</span><span class="p">:</span> <span class="s2">"Main process ID of the master process. Used and set by the population object."</span><span class="p">,</span>
+ <span class="s2">"_store_memaddr"</span><span class="p">:</span> <span class="s2">"Memory adress of the store object for binary_c."</span><span class="p">,</span>
+ <span class="s2">"failed_systems_threshold"</span><span class="p">:</span> <span class="s2">"Variable storing the maximum amount of systems that are allowed to fail before logging their commandline arguments to failed_systems log files"</span><span class="p">,</span>
+ <span class="s2">"parse_function"</span><span class="p">:</span> <span class="s2">"Function that the user can provide to handle the output the binary_c. This function has to take the arguments (self, output). Its best not to return anything in this function, and just store stuff in the grid_options['results'] dictionary, or just output results to a file"</span><span class="p">,</span>
+ <span class="s2">"condor"</span><span class="p">:</span> <span class="s2">"Int flag whether to use a condor type population evolution. Not implemented yet."</span><span class="p">,</span> <span class="c1"># TODO: describe this in more detail</span>
+ <span class="s2">"slurm"</span><span class="p">:</span> <span class="s2">"Int flag whether to use a slurm type population evolution."</span><span class="p">,</span> <span class="c1"># TODO: describe this in more detail</span>
+ <span class="s2">"weight"</span><span class="p">:</span> <span class="s2">"Weight factor for each system. The calculated probability is mulitplied by this. If the user wants each system to be repeated several times, then this variable should not be changed, rather change the _repeat variable instead, as that handles the reduction in probability per system. This is useful for systems that have a process with some random element in it."</span><span class="p">,</span> <span class="c1"># TODO: add more info here, regarding the evolution splitting.</span>
+ <span class="s2">"repeat"</span><span class="p">:</span> <span class="s2">"Factor of how many times a system should be repeated. Consider the evolution splitting binary_c argument for supernovae kick repeating."</span><span class="p">,</span> <span class="c1"># TODO: make sure this is used.</span>
+ <span class="s2">"evolution_type"</span><span class="p">:</span> <span class="s2">"Variable containing the type of evolution used of the grid. Multiprocessing or linear processing"</span><span class="p">,</span>
+ <span class="s2">"combine_ensemble_with_thread_joining"</span><span class="p">:</span> <span class="s2">"BOolean flag on whether to combine everything and return it to the user or if false: write it to data_dir/ensemble_output_</span><span class="si">{popuation_id}</span><span class="s2">_</span><span class="si">{thread_id}</span><span class="s2">.json"</span><span class="p">,</span>
+ <span class="s2">"log_runtime_systems"</span><span class="p">:</span> <span class="s2">"Whether to log the runtime of the systems . Each systems run by the thread is logged to a file and is stored in the tmp_dir. (1 file per thread). Don't use this if you are planning to run alot of systems. This is mostly for debugging and finding systems that take long to run. Integer, default = 0. if value is 1 then the systems are logged"</span><span class="p">,</span>
+ <span class="s2">"_total_mass_run"</span><span class="p">:</span> <span class="s2">"To count the total mass that thread/process has ran"</span><span class="p">,</span>
+ <span class="s2">"_total_probability_weighted_mass_run"</span><span class="p">:</span> <span class="s2">"To count the total mass * probability for each system that thread/process has ran"</span><span class="p">,</span>
+ <span class="s2">"_actually_evolve_system"</span><span class="p">:</span> <span class="s2">"Whether to actually evolve the systems of just act as if. for testing. used in _process_run_population_grid"</span><span class="p">,</span>
+ <span class="s2">"max_queue_size"</span><span class="p">:</span> <span class="s2">"Maximum size of the queue that is used to feed the processes. Don't make this too big! Default: 1000. Input: int"</span><span class="p">,</span>
+ <span class="s2">"_set_ms_grid"</span><span class="p">:</span> <span class="s2">"Internal flag whether the M&S grid has been loaded"</span><span class="p">,</span>
+ <span class="s2">"run_zero_probability_system"</span><span class="p">:</span> <span class="s2">"Whether to run the zero probability systems. Default: True. Input: boolean"</span><span class="p">,</span>
+ <span class="s2">"_zero_prob_stars_skipped"</span><span class="p">:</span> <span class="s2">"Internal counter to track how many systems are skipped because they have 0 probability"</span><span class="p">,</span>
+ <span class="s2">"ensemble_factor_in_probability_weighted_mass"</span><span class="p">:</span> <span class="s2">"Flag to multiply all the ensemble results with 1/probability_weighted_mass"</span><span class="p">,</span>
+ <span class="s2">"multiplicity_fraction_function"</span><span class="p">:</span> <span class="s2">"Which multiplicity fraction function to use. 0: None, 1: Arenou 2010, 2: Rhagavan 2010, 3: M&S 2017"</span><span class="p">,</span>
+ <span class="s2">"m&s_options"</span><span class="p">:</span> <span class="s2">"Internal variable that holds the M&S options. Don't write to this your self"</span><span class="p">,</span>
+ <span class="s2">"_loaded_ms_data"</span><span class="p">:</span> <span class="s2">"Internal variable storing whether the M&S data has been loaded into memory"</span><span class="p">,</span>
+<span class="p">}</span>
+
+<span class="c1">###</span>
+<span class="c1">#</span>
+
+<span class="c1"># Default options for the Moe & Distefano grid</span>
+<span class="n">moe_distefano_default_options</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"resolutions"</span><span class="p">:</span> <span class="p">{</span>
+ <span class="s2">"M"</span><span class="p">:</span> <span class="p">[</span>
+ <span class="mi">20</span><span class="p">,</span> <span class="c1"># M1</span>
+ <span class="mi">20</span><span class="p">,</span> <span class="c1"># M2 (i.e. q)</span>
+ <span class="mi">0</span><span class="p">,</span> <span class="c1"># M3 currently unused</span>
+ <span class="mi">0</span><span class="p">,</span> <span class="c1"># M4 currently unused</span>
+ <span class="p">],</span>
+ <span class="s2">"logP"</span><span class="p">:</span> <span class="p">[</span>
+ <span class="mi">20</span><span class="p">,</span> <span class="c1"># P2 (binary period)</span>
+ <span class="mi">0</span><span class="p">,</span> <span class="c1"># P3 (triple period) currently unused</span>
+ <span class="mi">0</span><span class="p">,</span> <span class="c1"># P4 (quadruple period) currently unused</span>
+ <span class="p">],</span>
+ <span class="s2">"ecc"</span><span class="p">:</span> <span class="p">[</span>
+ <span class="mi">10</span><span class="p">,</span> <span class="c1"># e (binary eccentricity)</span>
+ <span class="mi">0</span><span class="p">,</span> <span class="c1"># e2 (triple eccentricity) currently unused</span>
+ <span class="mi">0</span><span class="p">,</span> <span class="c1"># e3 (quadruple eccentricity) currently unused</span>
+ <span class="p">],</span>
+ <span class="p">},</span>
+ <span class="s2">"ranges"</span><span class="p">:</span> <span class="p">{</span>
+ <span class="c1"># stellar masses (Msun)</span>
+ <span class="s2">"M"</span><span class="p">:</span> <span class="p">[</span>
+ <span class="mf">0.08</span><span class="p">,</span> <span class="c1"># 0.08 is a tad bit above the minimum mass. Don't sample at 0.07, otherwise the first row of q values will have a phasevol of 0. Anything higher is fine.</span>
+ <span class="mf">80.0</span><span class="p">,</span> <span class="c1"># (rather arbitrary) upper mass cutoff</span>
+ <span class="p">],</span>
+ <span class="s2">"q"</span><span class="p">:</span> <span class="p">[</span>
+ <span class="kc">None</span><span class="p">,</span> <span class="c1"># artificial qmin : set to None to use default</span>
+ <span class="kc">None</span><span class="p">,</span> <span class="c1"># artificial qmax : set to None to use default</span>
+ <span class="p">],</span>
+ <span class="s2">"logP"</span><span class="p">:</span> <span class="p">[</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">8.0</span><span class="p">],</span> <span class="c1"># 0 = log10(1 day) # 8 = log10(10^8 days)</span>
+ <span class="s2">"ecc"</span><span class="p">:</span> <span class="p">[</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">0.99</span><span class="p">],</span>
+ <span class="p">},</span>
+ <span class="c1"># minimum stellar mass</span>
+ <span class="s2">"Mmin"</span><span class="p">:</span> <span class="nb">float</span><span class="p">(</span><span class="n">return_binary_c_version_info</span><span class="p">(</span><span class="n">parsed</span><span class="o">=</span><span class="kc">True</span><span class="p">)[</span><span class="s1">'macros'</span><span class="p">][</span><span class="s1">'BINARY_C_MINIMUM_STELLAR_MASS'</span><span class="p">]),</span> <span class="c1"># We take the value that binary_c has set as the default </span>
+
+ <span class="c1"># multiplicity model (as a function of log10M1)</span>
+ <span class="c1">#</span>
+ <span class="c1"># You can use 'Poisson' which uses the system multiplicty</span>
+ <span class="c1"># given by Moe and maps this to single/binary/triple/quad</span>
+ <span class="c1"># fractions.</span>
+ <span class="c1">#</span>
+ <span class="c1"># Alternatively, 'data' takes the fractions directly</span>
+ <span class="c1"># from the data, but then triples and quadruples are</span>
+ <span class="c1"># combined (and there are NO quadruples).</span>
+ <span class="s2">"multiplicity_model"</span><span class="p">:</span> <span class="s2">"Poisson"</span><span class="p">,</span>
+
+ <span class="c1"># multiplicity modulator:</span>
+ <span class="c1"># [single, binary, triple, quadruple]</span>
+ <span class="c1">#</span>
+ <span class="c1"># e.g. [1,0,0,0] for single stars only</span>
+ <span class="c1"># [0,1,0,0] for binary stars only</span>
+ <span class="c1">#</span>
+ <span class="c1"># defaults to [1,1,0,0] i.e. all types</span>
+ <span class="c1">#</span>
+ <span class="s2">"multiplicity_modulator"</span><span class="p">:</span> <span class="p">[</span>
+ <span class="mi">1</span><span class="p">,</span> <span class="c1"># single</span>
+ <span class="mi">1</span><span class="p">,</span> <span class="c1"># binary</span>
+ <span class="mi">0</span><span class="p">,</span> <span class="c1"># triple</span>
+ <span class="mi">0</span><span class="p">,</span> <span class="c1"># quadruple</span>
+ <span class="p">],</span>
+ <span class="c1"># given a mix of multiplities, you can either (noting that</span>
+ <span class="c1"># here (S,B,T,Q) = appropriate modulator * model(S,B,T,Q) )</span>
+ <span class="c1">#</span>
+ <span class="c1"># 'norm' : normalize so the whole population is 1.0</span>
+ <span class="c1"># after implementing the appropriate fractions</span>
+ <span class="c1"># S/(S+B+T+Q), B/(S+B+T+Q), T/(S+B+T+Q), Q/(S+B+T+Q)</span>
+ <span class="c1">#</span>
+ <span class="c1"># 'raw' : stick to what is predicted, i.e.</span>
+ <span class="c1"># S/(S+B+T+Q), B/(S+B+T+Q), T/(S+B+T+Q), Q/(S+B+T+Q)</span>
+ <span class="c1"># without normalization</span>
+ <span class="c1"># (in which case the total probability < 1.0 unless</span>
+ <span class="c1"># all you use single, binary, triple and quadruple)</span>
+ <span class="c1">#</span>
+ <span class="c1"># 'merge' : e.g. if you only have single and binary,</span>
+ <span class="c1"># add the triples and quadruples to the binaries, so</span>
+ <span class="c1"># binaries represent all multiple systems</span>
+ <span class="c1"># ...</span>
+ <span class="c1"># *** this is canonical binary population synthesis ***</span>
+ <span class="c1">#</span>
+ <span class="c1"># Note: if multiplicity_modulator == [1,1,1,1] this</span>
+ <span class="c1"># option does nothing (equivalent to 'raw').</span>
+ <span class="c1">#</span>
+ <span class="c1">#</span>
+ <span class="c1"># note: if you only set one multiplicity_modulator</span>
+ <span class="c1"># to 1, and all the others to 0, then normalizing</span>
+ <span class="c1"># will mean that you effectively have the same number</span>
+ <span class="c1"># of stars as single, binary, triple or quad (whichever</span>
+ <span class="c1"># is non-zero) i.e. the multiplicity fraction is ignored.</span>
+ <span class="c1"># This is probably not useful except for</span>
+ <span class="c1"># testing purposes or comparing to old grids.</span>
+ <span class="s2">"normalize_multiplicities"</span><span class="p">:</span> <span class="s2">"merge"</span><span class="p">,</span>
+ <span class="c1"># q extrapolation (below 0.15 and above 0.9) method. We can choose from ['flat', 'linear', 'plaw2', 'nolowq']</span>
+ <span class="s2">"q_low_extrapolation_method"</span><span class="p">:</span> <span class="s2">"linear"</span><span class="p">,</span>
+ <span class="s2">"q_high_extrapolation_method"</span><span class="p">:</span> <span class="s2">"linear"</span><span class="p">,</span>
+<span class="p">}</span>
+
+<span class="n">moe_distefano_default_options_description</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"resolutions"</span><span class="p">:</span> <span class="s2">""</span><span class="p">,</span>
+ <span class="s2">"ranges"</span><span class="p">:</span> <span class="s2">""</span><span class="p">,</span>
+ <span class="s2">"Mmin"</span><span class="p">:</span> <span class="s2">"Minimum stellar mass"</span><span class="p">,</span>
+ <span class="s2">"multiplicity_model"</span><span class="p">:</span> <span class="s2">"""</span>
+<span class="s2">multiplicity model (as a function of log10M1)</span>
+
+<span class="s2">You can use 'Poisson' which uses the system multiplicty</span>
+<span class="s2">given by Moe and maps this to single/binary/triple/quad</span>
+<span class="s2">fractions.</span>
+
+<span class="s2">Alternatively, 'data' takes the fractions directly</span>
+<span class="s2">from the data, but then triples and quadruples are</span>
+<span class="s2">combined (and there are NO quadruples).</span>
+<span class="s2">"""</span><span class="p">,</span>
+ <span class="s2">"multiplicity_modulator"</span><span class="p">:</span> <span class="s2">"""</span>
+<span class="s2">[single, binary, triple, quadruple]</span>
+
+<span class="s2">e.g. [1,0,0,0] for single stars only</span>
+<span class="s2"> [0,1,0,0] for binary stars only</span>
+
+<span class="s2">defaults to [1,1,0,0] i.e. singles and binaries</span>
+<span class="s2">"""</span><span class="p">,</span>
+ <span class="s2">"normalize_multiplicities"</span><span class="p">:</span> <span class="s2">"""</span>
+<span class="s2">'norm': normalize so the whole population is 1.0</span>
+<span class="s2"> after implementing the appropriate fractions</span>
+<span class="s2"> S/(S+B+T+Q), B/(S+B+T+Q), T/(S+B+T+Q), Q/(S+B+T+Q)</span>
+<span class="s2"> given a mix of multiplities, you can either (noting that</span>
+<span class="s2"> here (S,B,T,Q) = appropriate modulator * model(S,B,T,Q) )</span>
+<span class="s2"> note: if you only set one multiplicity_modulator</span>
+<span class="s2"> to 1, and all the others to 0, then normalizing</span>
+<span class="s2"> will mean that you effectively have the same number</span>
+<span class="s2"> of stars as single, binary, triple or quad (whichever</span>
+<span class="s2"> is non-zero) i.e. the multiplicity fraction is ignored.</span>
+<span class="s2"> This is probably not useful except for</span>
+<span class="s2"> testing purposes or comparing to old grids.</span>
+
+<span class="s2">'raw' : stick to what is predicted, i.e.</span>
+<span class="s2"> S/(S+B+T+Q), B/(S+B+T+Q), T/(S+B+T+Q), Q/(S+B+T+Q)</span>
+<span class="s2"> without normalization</span>
+<span class="s2"> (in which case the total probability < 1.0 unless</span>
+<span class="s2"> all you use single, binary, triple and quadruple)</span>
+
+<span class="s2">'merge' : e.g. if you only have single and binary,</span>
+<span class="s2"> add the triples and quadruples to the binaries, so</span>
+<span class="s2"> binaries represent all multiple systems</span>
+<span class="s2"> ...</span>
+<span class="s2"> *** this is canonical binary population synthesis ***</span>
+
+<span class="s2"> It only takes the maximum multiplicity into account,</span>
+<span class="s2"> i.e. it doesn't multiply the resulting array by the multiplicity modulator again.</span>
+<span class="s2"> This prevents the resulting array to always be 1 if only 1 multiplicity modulator element is nonzero</span>
+
+<span class="s2"> Note: if multiplicity_modulator == [1,1,1,1]. this option does nothing (equivalent to 'raw').</span>
+<span class="s2">"""</span><span class="p">,</span>
+ <span class="s2">"q_low_extrapolation_method"</span><span class="p">:</span> <span class="s2">"""</span>
+<span class="s2">q extrapolation (below 0.15) method</span>
+<span class="s2"> none</span>
+<span class="s2"> flat</span>
+<span class="s2"> linear2</span>
+<span class="s2"> plaw2</span>
+<span class="s2"> nolowq</span>
+<span class="s2">"""</span><span class="p">,</span>
+ <span class="s2">"q_high_extrapolation_method"</span><span class="p">:</span> <span class="s2">"Same as q_low_extrapolation_method"</span><span class="p">,</span>
+<span class="p">}</span>
+
+
+<span class="c1">#################################</span>
+<span class="c1"># Grid options functions</span>
+
+<span class="c1"># Utility functions</span>
+<div class="viewcode-block" id="grid_options_help"><a class="viewcode-back" href="../../../grid_options_defaults.html#binarycpython.utils.grid_options_defaults.grid_options_help">[docs]</a><span class="k">def</span> <span class="nf">grid_options_help</span><span class="p">(</span><span class="n">option</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that prints out the description of a grid option. Useful function for the user.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> option: which option you want to have the description of</span>
+
+<span class="sd"> returns:</span>
+<span class="sd"> dict containg the option, the description if its there, otherwise empty string. And if the key doesnt exist, the dict is empty</span>
+<span class="sd"> """</span>
+
+ <span class="n">option_keys</span> <span class="o">=</span> <span class="n">grid_options_defaults_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+ <span class="n">description_keys</span> <span class="o">=</span> <span class="n">grid_options_descriptions</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">option</span> <span class="ow">in</span> <span class="n">option_keys</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Error: This is an invalid entry. Option does not exist, please choose from the following options:</span><span class="se">\n\t</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="s2">", "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">option_keys</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="p">{}</span>
+
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">option</span> <span class="ow">in</span> <span class="n">description_keys</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"This option has not been described properly yet. Please contact on of the authors"</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="p">{</span><span class="n">option</span><span class="p">:</span> <span class="s2">""</span><span class="p">}</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">grid_options_descriptions</span><span class="p">[</span><span class="n">option</span><span class="p">])</span>
+ <span class="k">return</span> <span class="p">{</span><span class="n">option</span><span class="p">:</span> <span class="n">grid_options_descriptions</span><span class="p">[</span><span class="n">option</span><span class="p">]}</span></div>
+
+
+<div class="viewcode-block" id="grid_options_description_checker"><a class="viewcode-back" href="../../../grid_options_defaults.html#binarycpython.utils.grid_options_defaults.grid_options_description_checker">[docs]</a><span class="k">def</span> <span class="nf">grid_options_description_checker</span><span class="p">(</span><span class="n">print_info</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span> <span class="o">-></span> <span class="nb">int</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that checks which descriptions are missing</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> print_info: whether to print out information about which options contain proper descriptions and which do not</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> the amount of undescribed keys</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Get the keys</span>
+ <span class="n">option_keys</span> <span class="o">=</span> <span class="n">grid_options_defaults_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+ <span class="n">description_keys</span> <span class="o">=</span> <span class="n">grid_options_descriptions</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+
+ <span class="c1">#</span>
+ <span class="n">undescribed_keys</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">option_keys</span><span class="p">)</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">description_keys</span><span class="p">))</span>
+
+ <span class="k">if</span> <span class="n">undescribed_keys</span><span class="p">:</span>
+ <span class="k">if</span> <span class="n">print_info</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Warning: the following keys have no description yet:</span><span class="se">\n\t</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="s2">", "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="nb">sorted</span><span class="p">(</span><span class="n">undescribed_keys</span><span class="p">))</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Total description progress: </span><span class="si">{:.2f}%%</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="mi">100</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">description_keys</span><span class="p">)</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">option_keys</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="n">undescribed_keys</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="write_grid_options_to_rst_file"><a class="viewcode-back" href="../../../grid_options_defaults.html#binarycpython.utils.grid_options_defaults.write_grid_options_to_rst_file">[docs]</a><span class="k">def</span> <span class="nf">write_grid_options_to_rst_file</span><span class="p">(</span><span class="n">output_file</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that writes the descriptions of the grid options to a rst file</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> TODO: seperate things into private and public options</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> output_file: target file where the grid options descriptions are written to</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Get the options and the description</span>
+ <span class="n">options</span> <span class="o">=</span> <span class="n">grid_options_defaults_dict</span>
+ <span class="n">descriptions</span> <span class="o">=</span> <span class="n">grid_options_descriptions</span>
+
+ <span class="c1"># Get those that do not have a description</span>
+ <span class="n">not_described_yet</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">options</span><span class="p">)</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">descriptions</span><span class="p">))</span>
+
+ <span class="c1"># separate public and private options</span>
+ <span class="n">public_options</span> <span class="o">=</span> <span class="p">[</span><span class="n">key</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">options</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">key</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"_"</span><span class="p">)]</span>
+ <span class="n">private_options</span> <span class="o">=</span> <span class="p">[</span><span class="n">key</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">options</span> <span class="k">if</span> <span class="n">key</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"_"</span><span class="p">)]</span>
+
+ <span class="c1"># Check input</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">output_file</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">".rst"</span><span class="p">):</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Filename doesn't end with .rst, please provide a proper filename"</span><span class="p">)</span>
+ <span class="k">return</span> <span class="kc">None</span>
+
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">output_file</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Population grid code options"</span><span class="p">,</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"="</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="s2">"Population grid code options"</span><span class="p">)),</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"The following chapter contains all grid code options, along with their descriptions"</span><span class="p">,</span>
+ <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"There are </span><span class="si">{}</span><span class="s2"> options that are not described yet."</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="nb">len</span><span class="p">(</span><span class="n">not_described_yet</span><span class="p">)</span>
+ <span class="p">),</span>
+ <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">,</span> <span class="n">file</span><span class="o">=</span><span class="n">f</span><span class="p">)</span>
+
+ <span class="c1"># Start public options part</span>
+ <span class="n">print_option_descriptions</span><span class="p">(</span>
+ <span class="n">f</span><span class="p">,</span>
+ <span class="n">public_options</span><span class="p">,</span>
+ <span class="n">descriptions</span><span class="p">,</span>
+ <span class="s2">"Public options"</span><span class="p">,</span>
+ <span class="s2">"The following options are meant to be changed by the user."</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Moe & Distefano options:</span>
+ <span class="n">print_option_descriptions</span><span class="p">(</span>
+ <span class="n">f</span><span class="p">,</span>
+ <span class="n">moe_distefano_default_options</span><span class="p">,</span>
+ <span class="n">moe_distefano_default_options_description</span><span class="p">,</span>
+ <span class="s2">"Moe & Distefano sampler options"</span><span class="p">,</span>
+ <span class="s2">"The following options are meant to be changed by the user."</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Start private options part</span>
+ <span class="n">print_option_descriptions</span><span class="p">(</span>
+ <span class="n">f</span><span class="p">,</span>
+ <span class="n">private_options</span><span class="p">,</span>
+ <span class="n">descriptions</span><span class="p">,</span>
+ <span class="s2">"Private options"</span><span class="p">,</span>
+ <span class="s2">"The following options are not meant to be changed by the user, as these options are used and set internally by the object itself. The description still is provided, but just for documentation purposes."</span><span class="p">,</span>
+ <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="print_option_descriptions"><a class="viewcode-back" href="../../../grid_options_defaults.html#binarycpython.utils.grid_options_defaults.print_option_descriptions">[docs]</a><span class="k">def</span> <span class="nf">print_option_descriptions</span><span class="p">(</span><span class="n">filehandle</span><span class="p">,</span> <span class="n">options</span><span class="p">,</span> <span class="n">descriptions</span><span class="p">,</span> <span class="n">title</span><span class="p">,</span> <span class="n">extra_text</span><span class="p">):</span>
+ <span class="c1"># Start public options part</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">title</span><span class="p">),</span> <span class="n">file</span><span class="o">=</span><span class="n">filehandle</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">"-"</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">title</span><span class="p">))),</span> <span class="n">file</span><span class="o">=</span><span class="n">filehandle</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">extra_text</span><span class="p">),</span> <span class="n">file</span><span class="o">=</span><span class="n">filehandle</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">,</span> <span class="n">file</span><span class="o">=</span><span class="n">filehandle</span><span class="p">)</span>
+
+ <span class="k">for</span> <span class="n">option</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">options</span><span class="p">):</span>
+ <span class="k">if</span> <span class="n">option</span> <span class="ow">in</span> <span class="n">descriptions</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"| **</span><span class="si">{}</span><span class="s2">**: </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">option</span><span class="p">,</span> <span class="n">descriptions</span><span class="p">[</span><span class="n">option</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">,</span> <span class="s2">"</span><span class="se">\n\t</span><span class="s2">"</span><span class="p">)),</span>
+ <span class="n">file</span><span class="o">=</span><span class="n">filehandle</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"| **</span><span class="si">{}</span><span class="s2">**: No description available yet"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">option</span><span class="p">),</span>
+ <span class="n">file</span><span class="o">=</span><span class="n">filehandle</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">""</span><span class="p">,</span> <span class="n">file</span><span class="o">=</span><span class="n">filehandle</span><span class="p">)</span></div>
+</pre></div>
+
+ </div>
+
+ </div>
+ <footer>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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diff --git a/docs/build/html/_modules/binarycpython/utils/plot_functions.html b/docs/build/html/_modules/binarycpython/utils/plot_functions.html
new file mode 100644
index 0000000000000000000000000000000000000000..d059e0a3077d857bc79d10d7fbd620cfe03843d6
--- /dev/null
+++ b/docs/build/html/_modules/binarycpython/utils/plot_functions.html
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+<!DOCTYPE html>
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+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../../../readme_link.html">Python module for binary_c</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../modules.html">Binarycpython code</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../examples.html">Examples</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../../../grid_options_descriptions.html">Population grid code options</a></li>
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+
+ <h1>Source code for binarycpython.utils.plot_functions</h1><div class="highlight"><pre>
+<span></span><span class="sd">"""</span>
+<span class="sd">Module that contains functionality to plot some properties of (binary) systems. </span>
+
+<span class="sd">Different routines are defined here to plot orbits, masses, angular momenta etc. </span>
+
+<span class="sd">Structure of file:</span>
+<span class="sd"> custom logging strings</span>
+<span class="sd"> parsing functions</span>
+<span class="sd"> plotting functions</span>
+<span class="sd"> master function: plot_system</span>
+
+<span class="sd">All the loose components here can ofcourse be used in other routines if you want.</span>
+
+<span class="sd">There is no preloaded matplotlib rc, you should do that yourself</span>
+
+<span class="sd">These plotting routines are designed for binary systems, and admittingly they are here mostly for </span>
+<span class="sd">inspirational purposes, since one would problably want to customize the plots. </span>
+<span class="sd">Regardless, having some plotting routines in here seemed like a nice idea</span>
+
+<span class="sd">Tasks</span>
+<span class="sd"> TODO: This module is not finished yet.</span>
+<span class="sd"> TODO: Make modules for single system</span>
+<span class="sd"> TODO: Put all the plotting functions in here</span>
+
+<span class="sd">"""</span>
+
+<span class="kn">import</span> <span class="nn">math</span>
+
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">astropy.constants</span> <span class="k">as</span> <span class="nn">const</span>
+
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython.utils.functions</span> <span class="kn">import</span> <span class="n">output_lines</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.run_system_wrapper</span> <span class="kn">import</span> <span class="n">run_system</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.custom_logging_functions</span> <span class="kn">import</span> <span class="n">binary_c_log_code</span>
+
+<span class="c1"># Define the custom_logging_strings.</span>
+<span class="c1"># These are kept to the minimum necessary for each plotting routine.</span>
+
+<span class="n">CUSTOM_LOGGING_STRING_MASSES</span> <span class="o">=</span> <span class="s2">"""</span>
+<span class="s2">Printf("MASS_PLOTTING </span><span class="si">%30.12e</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="se">\\</span><span class="s2">n",</span>
+<span class="s2"> //</span>
+<span class="s2"> stardata->model.time, // 1</span>
+<span class="s2"> </span>
+<span class="s2"> // masses</span>
+<span class="s2"> stardata->common.zero_age.mass[0], //</span>
+<span class="s2"> stardata->common.zero_age.mass[1], //</span>
+
+<span class="s2"> stardata->star[0].mass,</span>
+<span class="s2"> stardata->star[1].mass,</span>
+<span class="s2"> stardata->star[0].core_mass[ID_core(stardata->star[0].stellar_type)],</span>
+<span class="s2"> stardata->star[1].core_mass[ID_core(stardata->star[1].stellar_type)]</span>
+<span class="s2">);</span>
+<span class="s2">"""</span>
+
+<span class="n">CUSTOM_LOGGING_STRING_ORBIT</span> <span class="o">=</span> <span class="s2">"""</span>
+<span class="s2">Printf("ORBIT_PLOTTING </span><span class="si">%30.12e</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="se">\\</span><span class="s2">n",</span>
+<span class="s2"> //</span>
+<span class="s2"> stardata->model.time, // 1</span>
+<span class="s2"> </span>
+<span class="s2"> // orbit elements</span>
+<span class="s2"> stardata->common.orbit.period, //2</span>
+<span class="s2"> stardata->common.orbit.separation, //3</span>
+<span class="s2"> stardata->common.orbit.eccentricity //4</span>
+<span class="s2"> );</span>
+<span class="s2">"""</span>
+
+<span class="n">CUSTOM_LOGGING_STRING_HR_DIAGRAM</span> <span class="o">=</span> <span class="s2">"""</span>
+<span class="s2">Printf("HR_PLOTTING </span><span class="si">%30.12e</span><span class="s2"> </span><span class="si">%d</span><span class="s2"> </span><span class="si">%d</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="se">\\</span><span class="s2">n",</span>
+<span class="s2"> //</span>
+<span class="s2"> stardata->model.time, // 1</span>
+<span class="s2"> </span>
+<span class="s2"> // stellar types</span>
+<span class="s2"> stardata->star[0].stellar_type, //2</span>
+<span class="s2"> stardata->star[1].stellar_type, //3</span>
+
+<span class="s2"> // luminosity and radii</span>
+<span class="s2"> stardata->star[0].luminosity, // 4</span>
+<span class="s2"> stardata->star[1].luminosity, // 5</span>
+<span class="s2"> stardata->star[0].radius, // 6</span>
+<span class="s2"> stardata->star[1].radius, // 7</span>
+
+<span class="s2"> // masses</span>
+<span class="s2"> stardata->common.zero_age.mass[0], // 8</span>
+<span class="s2"> stardata->common.zero_age.mass[1] // 9</span>
+<span class="s2"> );</span>
+<span class="s2">"""</span>
+
+
+<div class="viewcode-block" id="color_by_index"><a class="viewcode-back" href="../../../plot_functions.html#binarycpython.utils.plot_functions.color_by_index">[docs]</a><span class="k">def</span> <span class="nf">color_by_index</span><span class="p">(</span><span class="n">row</span><span class="p">,</span> <span class="n">column</span><span class="p">,</span> <span class="n">colors</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that returns a color based on row and column information. Used to color the stellar types</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="n">colors</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="n">column</span><span class="p">])]</span></div>
+
+
+<div class="viewcode-block" id="plot_HR_diagram"><a class="viewcode-back" href="../../../plot_functions.html#binarycpython.utils.plot_functions.plot_HR_diagram">[docs]</a><span class="k">def</span> <span class="nf">plot_HR_diagram</span><span class="p">(</span>
+ <span class="n">df</span><span class="p">,</span>
+ <span class="n">show_stellar_types</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+ <span class="n">show_plot</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+ <span class="n">use_astropy_values</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to plot the HR diagram evolution of the system. Assumes its a binary system.</span>
+
+<span class="sd"> For a single star see plot_HR_diagram_single</span>
+
+<span class="sd"> Plot shows Log luminosity on y axis,</span>
+<span class="sd"> log temperature on x axis (reversed)</span>
+
+<span class="sd"> requires:</span>
+<span class="sd"> - time</span>
+<span class="sd"> - stellar_type_1</span>
+<span class="sd"> - stellar_type_2</span>
+<span class="sd"> - radius_1</span>
+<span class="sd"> - radius_2</span>
+<span class="sd"> - luminosity_1</span>
+<span class="sd"> - luminosity_2</span>
+
+<span class="sd"> Plots:</span>
+<span class="sd"> - luminosity_1 vs teff_1</span>
+<span class="sd"> - luminosity_2 vs teff_2</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: add HD limit</span>
+<span class="sd"> - TODO: add lines of constant radius</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> df: pandas dataframe with the required columns</span>
+<span class="sd"> show_stellar_types: whether to color code the tracks and show the stellar types</span>
+<span class="sd"> show_plot: whether to actually show the plot. If false: returns the figure object</span>
+<span class="sd"> use_astropy_values: Whether to use astropy values for for Rsun, Lsun and stefan boltzman constant.</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> returns a figure object if show_plot is false</span>
+
+<span class="sd"> """</span>
+
+ <span class="c1"># prefactor = (1/(4 * math.pi * omega_sb))**(1.0/4)</span>
+ <span class="c1"># prefactor_approx = 1000 * (1130)**(1.0/4) * ((R_SUN**2)/L_SUN)**(1.0/4)</span>
+
+ <span class="k">if</span> <span class="n">use_astropy_values</span><span class="p">:</span>
+ <span class="n">R_SUN</span> <span class="o">=</span> <span class="n">const</span><span class="o">.</span><span class="n">R_sun</span><span class="o">.</span><span class="n">cgs</span><span class="o">.</span><span class="n">value</span>
+ <span class="n">L_SUN</span> <span class="o">=</span> <span class="n">const</span><span class="o">.</span><span class="n">L_sun</span><span class="o">.</span><span class="n">cgs</span><span class="o">.</span><span class="n">value</span>
+ <span class="n">omega_sb</span> <span class="o">=</span> <span class="n">const</span><span class="o">.</span><span class="n">sigma_sb</span><span class="o">.</span><span class="n">cgs</span><span class="o">.</span><span class="n">value</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Using astropy values: R_SUN= </span><span class="si">{}</span><span class="s2"> L_SUN = </span><span class="si">{}</span><span class="s2"> omega_sb = </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">R_SUN</span><span class="p">,</span> <span class="n">L_SUN</span><span class="p">,</span> <span class="n">omega_sb</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">R_SUN</span> <span class="o">=</span> <span class="mf">6.956600000000000000000000000000e10</span>
+ <span class="n">L_SUN</span> <span class="o">=</span> <span class="mf">3.851500000000000274321803705319e33</span>
+ <span class="n">omega_sb</span> <span class="o">=</span> <span class="mf">5.670352798655924736991040813194e-05</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Using binary_c values: R_SUN= </span><span class="si">{}</span><span class="s2"> L_SUN = </span><span class="si">{}</span><span class="s2"> omega_sb = </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">R_SUN</span><span class="p">,</span> <span class="n">L_SUN</span><span class="p">,</span> <span class="n">omega_sb</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="n">prefactor</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span> <span class="o">/</span> <span class="p">(</span><span class="mi">4</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">omega_sb</span><span class="p">))</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">/</span> <span class="mi">4</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">show_stellar_types</span><span class="p">:</span>
+ <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">))</span>
+ <span class="n">fig</span><span class="p">,</span> <span class="n">colors</span> <span class="o">=</span> <span class="n">add_stellar_types_bar</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax_index</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">only_colorbar</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">))</span>
+
+ <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+ <span class="n">teff_1</span><span class="o">=</span><span class="n">prefactor</span>
+ <span class="o">*</span> <span class="p">((</span><span class="n">df</span><span class="p">[</span><span class="s2">"luminosity_1"</span><span class="p">]</span> <span class="o">*</span> <span class="n">L_SUN</span><span class="p">)</span> <span class="o">/</span> <span class="p">((</span><span class="n">df</span><span class="p">[</span><span class="s2">"radius_1"</span><span class="p">]</span> <span class="o">*</span> <span class="n">R_SUN</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span><span class="p">))</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">/</span> <span class="mi">4</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+ <span class="n">teff_2</span><span class="o">=</span><span class="n">prefactor</span>
+ <span class="o">*</span> <span class="p">((</span><span class="n">df</span><span class="p">[</span><span class="s2">"luminosity_2"</span><span class="p">]</span> <span class="o">*</span> <span class="n">L_SUN</span><span class="p">)</span> <span class="o">/</span> <span class="p">((</span><span class="n">df</span><span class="p">[</span><span class="s2">"radius_2"</span><span class="p">]</span> <span class="o">*</span> <span class="n">R_SUN</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span><span class="p">))</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">/</span> <span class="mi">4</span><span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1"># # Add colors to dataframe</span>
+ <span class="c1"># df = df.assign(colors_1=df.apply(color_by_index, axis=1, args=('stellar_type_1', colors)))</span>
+ <span class="c1"># df = df.assign(colors_2=df.apply(color_by_index, axis=1, args=('stellar_type_2', colors)))</span>
+
+ <span class="c1"># Star 1:</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"teff_1"</span><span class="p">],</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"luminosity_1"</span><span class="p">],</span>
+ <span class="n">label</span><span class="o">=</span><span class="s2">"Star 1 (M=</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"pms_mass_1"</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]),</span>
+ <span class="c1"># color=df['colors_1']</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Star 2:</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"teff_2"</span><span class="p">],</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"luminosity_2"</span><span class="p">],</span>
+ <span class="n">label</span><span class="o">=</span><span class="s2">"Star 2 (M=</span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"pms_mass_2"</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]),</span>
+ <span class="c1"># color=df['colors_2']</span>
+ <span class="p">)</span>
+
+ <span class="n">margin_fraction_x</span> <span class="o">=</span> <span class="mf">0.1</span>
+ <span class="n">margin_fraction_y</span> <span class="o">=</span> <span class="mf">0.9</span>
+
+ <span class="c1"># Fix axes</span>
+ <span class="n">min_y</span><span class="p">,</span> <span class="n">max_y</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">df</span><span class="p">[[</span><span class="s2">"luminosity_1"</span><span class="p">,</span> <span class="s2">"luminosity_2"</span><span class="p">]]</span><span class="o">.</span><span class="n">min</span><span class="p">()</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span>
+ <span class="n">df</span><span class="p">[[</span><span class="s2">"luminosity_1"</span><span class="p">,</span> <span class="s2">"luminosity_2"</span><span class="p">]]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span>
+ <span class="p">)</span>
+ <span class="n">min_x</span><span class="p">,</span> <span class="n">max_x</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">df</span><span class="p">[[</span><span class="s2">"teff_1"</span><span class="p">,</span> <span class="s2">"teff_2"</span><span class="p">]]</span><span class="o">.</span><span class="n">min</span><span class="p">()</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span>
+ <span class="n">df</span><span class="p">[[</span><span class="s2">"teff_1"</span><span class="p">,</span> <span class="s2">"teff_2"</span><span class="p">]]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span>
+ <span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span>
+ <span class="n">min_x</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">margin_fraction_x</span><span class="p">),</span> <span class="n">max_x</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">margin_fraction_x</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span>
+ <span class="n">min_y</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">margin_fraction_y</span><span class="p">),</span> <span class="n">max_y</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">margin_fraction_y</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s2">"log"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xscale</span><span class="p">(</span><span class="s2">"log"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">invert_xaxis</span><span class="p">()</span>
+
+ <span class="c1"># Other stuff</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">"HR diagram"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">"best"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s2">"Luminosity [$L_</span><span class="si">{star}</span><span class="s2">$/$L_{\odot}$]"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s2">"$T_</span><span class="si">{eff}</span><span class="s2">$ (K)"</span><span class="p">)</span>
+
+ <span class="c1"># Show or return</span>
+ <span class="k">if</span> <span class="n">show_plot</span><span class="p">:</span>
+ <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">fig</span></div>
+
+
+<div class="viewcode-block" id="plot_orbit"><a class="viewcode-back" href="../../../plot_functions.html#binarycpython.utils.plot_functions.plot_orbit">[docs]</a><span class="k">def</span> <span class="nf">plot_orbit</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">show_stellar_types</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">show_plot</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to plot the orbital elements of the system</span>
+
+<span class="sd"> Plots the following quantities:</span>
+<span class="sd"> - Orbital period</span>
+<span class="sd"> - Separation</span>
+<span class="sd"> - eccentricity</span>
+
+<span class="sd"> TODO: fix stellar_types plot</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> df: pandas dataframe with the required columns</span>
+<span class="sd"> show_stellar_types: whether to color code the tracks and show the stellar types</span>
+<span class="sd"> show_plot: whether to actually show the plot. If false: returns the figure object</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> returns a figure object if show_plot is false</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">show_stellar_types</span><span class="p">:</span>
+ <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">subplots_adjust</span><span class="p">(</span><span class="n">hspace</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">10</span><span class="p">),</span> <span class="n">sharex</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">subplots_adjust</span><span class="p">(</span><span class="n">hspace</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"time"</span><span class="p">],</span> <span class="n">df</span><span class="p">[</span><span class="s2">"orbital_period"</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s2">"Orbital period"</span><span class="p">)</span>
+
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"time"</span><span class="p">],</span> <span class="n">df</span><span class="p">[</span><span class="s2">"separation"</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s2">"Separation orbit"</span><span class="p">)</span>
+
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"time"</span><span class="p">],</span> <span class="n">df</span><span class="p">[</span><span class="s2">"eccentricity"</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s2">"Eccentricity orbit"</span><span class="p">)</span>
+
+ <span class="c1"># Make up</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">"Orbital elements evolution"</span><span class="p">)</span>
+
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">"best"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">"best"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">"best"</span><span class="p">)</span>
+
+ <span class="c1"># fig.axes[0].set_ylim(0, 1.1*max_total_mass)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s2">"Orbital period"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s2">"Separation"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s2">"Eccentricity"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s2">"log"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s2">"log"</span><span class="p">)</span>
+
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s2">"Time (Myr)"</span><span class="p">)</span>
+
+ <span class="c1"># Show or return</span>
+ <span class="k">if</span> <span class="n">show_plot</span><span class="p">:</span>
+ <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">fig</span></div>
+
+
+<div class="viewcode-block" id="plot_masses"><a class="viewcode-back" href="../../../plot_functions.html#binarycpython.utils.plot_functions.plot_masses">[docs]</a><span class="k">def</span> <span class="nf">plot_masses</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">show_stellar_types</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">show_plot</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to plot the masses of the system.</span>
+
+<span class="sd"> Function requires the following keys:</span>
+<span class="sd"> - time</span>
+<span class="sd"> - pms_mass_1</span>
+<span class="sd"> - pms_mass_2</span>
+<span class="sd"> - mass_1</span>
+<span class="sd"> - mass_2</span>
+
+<span class="sd"> Plots the following quantities:</span>
+<span class="sd"> - Total mass</span>
+<span class="sd"> - Mass star 1</span>
+<span class="sd"> - Mass star 2</span>
+<span class="sd"> - Pms mass 1</span>
+<span class="sd"> - pms mass 2</span>
+<span class="sd"> - pms total mass</span>
+<span class="sd"> - (maybe?) core and env masses</span>
+
+<span class="sd"> TODO: fix stellar_types plot</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> df: pandas dataframe with the required columns</span>
+<span class="sd"> show_stellar_types: whether to color code the tracks and show the stellar types</span>
+<span class="sd"> show_plot: whether to actually show the plot. If false: returns the figure object</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> returns a figure object if show_plot is false</span>
+<span class="sd"> """</span>
+
+ <span class="k">if</span> <span class="n">show_stellar_types</span><span class="p">:</span>
+ <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">subplots_adjust</span><span class="p">(</span><span class="n">hspace</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
+
+ <span class="n">max_total_mass</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"pms_mass_1"</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">df</span><span class="p">[</span><span class="s2">"pms_mass_2"</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="n">df</span><span class="p">[</span><span class="s2">"total_mass_temp"</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s2">"mass_1"</span><span class="p">]</span> <span class="o">+</span> <span class="n">df</span><span class="p">[</span><span class="s2">"mass_2"</span><span class="p">]</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"pms_total_mass_temp"</span><span class="p">]</span> <span class="o">=</span> <span class="n">max_total_mass</span>
+
+ <span class="c1"># total mass</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"time"</span><span class="p">],</span> <span class="n">df</span><span class="p">[</span><span class="s2">"total_mass_temp"</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s2">"Total mass"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">axhline</span><span class="p">(</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"pms_total_mass_temp"</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">],</span>
+ <span class="n">label</span><span class="o">=</span><span class="s2">"Initial total mass"</span><span class="p">,</span>
+ <span class="n">linestyle</span><span class="o">=</span><span class="s2">"--"</span><span class="p">,</span>
+ <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Mass 1</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"time"</span><span class="p">],</span> <span class="n">df</span><span class="p">[</span><span class="s2">"mass_1"</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s2">"star 1"</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'red'</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">axhline</span><span class="p">(</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"pms_mass_1"</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">],</span>
+ <span class="n">color</span><span class="o">=</span><span class="s2">"red"</span><span class="p">,</span>
+ <span class="n">linestyle</span><span class="o">=</span><span class="s2">"--"</span><span class="p">,</span>
+ <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+ <span class="n">label</span><span class="o">=</span><span class="s2">"Initial mass 1"</span><span class="p">,</span>
+ <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"time"</span><span class="p">],</span> <span class="n">df</span><span class="p">[</span><span class="s2">"core_mass_1"</span><span class="p">],</span>
+ <span class="n">color</span><span class="o">=</span><span class="s2">"red"</span><span class="p">,</span>
+ <span class="n">linestyle</span><span class="o">=</span><span class="s2">"-."</span><span class="p">,</span>
+ <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+ <span class="n">label</span><span class="o">=</span><span class="s2">"Core mass 1"</span><span class="p">,</span>
+ <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># mass 2</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"time"</span><span class="p">],</span> <span class="n">df</span><span class="p">[</span><span class="s2">"mass_2"</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s2">"orange"</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">"star 2"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">axhline</span><span class="p">(</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"pms_mass_2"</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">],</span>
+ <span class="n">color</span><span class="o">=</span><span class="s2">"orange"</span><span class="p">,</span>
+ <span class="n">linestyle</span><span class="o">=</span><span class="s2">"--"</span><span class="p">,</span>
+ <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+ <span class="n">label</span><span class="o">=</span><span class="s2">"Initial mass 2"</span><span class="p">,</span>
+ <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"time"</span><span class="p">],</span> <span class="n">df</span><span class="p">[</span><span class="s2">"core_mass_2"</span><span class="p">],</span>
+ <span class="n">color</span><span class="o">=</span><span class="s2">"orange"</span><span class="p">,</span>
+ <span class="n">linestyle</span><span class="o">=</span><span class="s2">"-."</span><span class="p">,</span>
+ <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+ <span class="n">label</span><span class="o">=</span><span class="s2">"Core mass 2"</span><span class="p">,</span>
+ <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Make up</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">"Stellar mass evolution"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">"best"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1.1</span> <span class="o">*</span> <span class="n">max_total_mass</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s2">"Mass [$M_{\odot}$]"</span><span class="p">)</span>
+ <span class="n">fig</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s2">"Time (Myr)"</span><span class="p">)</span>
+
+ <span class="c1"># Show or return</span>
+ <span class="k">if</span> <span class="n">show_plot</span><span class="p">:</span>
+ <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">fig</span></div>
+
+
+<span class="c1"># Define the parse functions for the plotting routines</span>
+<div class="viewcode-block" id="dummy"><a class="viewcode-back" href="../../../plot_functions.html#binarycpython.utils.plot_functions.dummy">[docs]</a><span class="k">def</span> <span class="nf">dummy</span><span class="p">():</span>
+ <span class="sd">"""Placeholder"""</span>
+ <span class="k">pass</span></div>
+
+
+<div class="viewcode-block" id="parse_function_hr_diagram"><a class="viewcode-back" href="../../../plot_functions.html#binarycpython.utils.plot_functions.parse_function_hr_diagram">[docs]</a><span class="k">def</span> <span class="nf">parse_function_hr_diagram</span><span class="p">(</span><span class="n">output</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Parsing function for the HR plotting routine</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> output: raw binary_c output string</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> pandas dataframe containing the columns for the HR diagram plotting routine</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># extract info from the single evolution</span>
+
+ <span class="n">values_list</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="n">parameters</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="s2">"time"</span><span class="p">,</span>
+ <span class="s2">"stellar_type_1"</span><span class="p">,</span>
+ <span class="s2">"stellar_type_2"</span><span class="p">,</span>
+ <span class="s2">"luminosity_1"</span><span class="p">,</span>
+ <span class="s2">"luminosity_2"</span><span class="p">,</span>
+ <span class="s2">"radius_1"</span><span class="p">,</span>
+ <span class="s2">"radius_2"</span><span class="p">,</span>
+ <span class="s2">"pms_mass_1"</span><span class="p">,</span>
+ <span class="s2">"pms_mass_2"</span><span class="p">,</span>
+ <span class="p">]</span>
+
+ <span class="c1"># Go over the output.</span>
+ <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">output_lines</span><span class="p">(</span><span class="n">output</span><span class="p">):</span>
+ <span class="n">headerline</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="c1"># Check the header and act accordingly</span>
+ <span class="k">if</span> <span class="n">headerline</span> <span class="o">==</span> <span class="s2">"HR_PLOTTING"</span><span class="p">:</span>
+ <span class="n">values</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">1</span><span class="p">:]</span>
+ <span class="n">values_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">values</span><span class="p">)</span>
+
+ <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">values_list</span><span class="p">)</span>
+ <span class="n">df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="n">parameters</span>
+
+ <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">)</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"stellar_type_1"</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s2">"stellar_type_1"</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)</span>
+ <span class="n">df</span><span class="p">[</span><span class="s2">"stellar_type_2"</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s2">"stellar_type_2"</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">df</span></div>
+
+
+<div class="viewcode-block" id="parse_function_orbit"><a class="viewcode-back" href="../../../plot_functions.html#binarycpython.utils.plot_functions.parse_function_orbit">[docs]</a><span class="k">def</span> <span class="nf">parse_function_orbit</span><span class="p">(</span><span class="n">output</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Parsing function for the orbit plotting routine</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> output: raw binary_c output string</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> pandas dataframe containing the columns for the orbit plotting routine</span>
+<span class="sd"> """</span>
+
+ <span class="n">values_list</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="n">parameters</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="s2">"time"</span><span class="p">,</span>
+ <span class="s2">"orbital_period"</span><span class="p">,</span>
+ <span class="s2">"separation"</span><span class="p">,</span>
+ <span class="s2">"eccentricity"</span><span class="p">,</span>
+ <span class="p">]</span>
+
+ <span class="c1"># Go over the output.</span>
+ <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">output_lines</span><span class="p">(</span><span class="n">output</span><span class="p">):</span>
+ <span class="n">headerline</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="c1"># Check the header and act accordingly</span>
+ <span class="k">if</span> <span class="n">headerline</span> <span class="o">==</span> <span class="s2">"ORBIT_PLOTTING"</span><span class="p">:</span>
+ <span class="n">values</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">1</span><span class="p">:]</span>
+ <span class="n">values_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">values</span><span class="p">)</span>
+
+ <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">values_list</span><span class="p">)</span>
+ <span class="n">df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="n">parameters</span>
+
+ <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">df</span></div>
+
+
+<div class="viewcode-block" id="parse_function_masses"><a class="viewcode-back" href="../../../plot_functions.html#binarycpython.utils.plot_functions.parse_function_masses">[docs]</a><span class="k">def</span> <span class="nf">parse_function_masses</span><span class="p">(</span><span class="n">output</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Parsing function for the orbit plotting routine</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> output: raw binary_c output string</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> pandas dataframe containing the columns for the masses plotting routine</span>
+<span class="sd"> """</span>
+
+ <span class="n">values_list</span> <span class="o">=</span> <span class="p">[]</span>
+
+ <span class="n">parameters</span> <span class="o">=</span> <span class="p">[</span>
+ <span class="s2">"time"</span><span class="p">,</span>
+ <span class="s2">"pms_mass_1"</span><span class="p">,</span>
+ <span class="s2">"pms_mass_2"</span><span class="p">,</span>
+ <span class="s2">"mass_1"</span><span class="p">,</span>
+ <span class="s2">"mass_2"</span><span class="p">,</span>
+ <span class="s2">"core_mass_1"</span><span class="p">,</span>
+ <span class="s2">"core_mass_2"</span><span class="p">,</span>
+ <span class="p">]</span>
+
+ <span class="c1"># Go over the output.</span>
+ <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">output_lines</span><span class="p">(</span><span class="n">output</span><span class="p">):</span>
+ <span class="n">headerline</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="c1"># Check the header and act accordingly</span>
+ <span class="k">if</span> <span class="n">headerline</span> <span class="o">==</span> <span class="s2">"MASS_PLOTTING"</span><span class="p">:</span>
+ <span class="n">values</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">1</span><span class="p">:]</span>
+ <span class="n">values_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">values</span><span class="p">)</span>
+
+ <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">values_list</span><span class="p">)</span>
+ <span class="n">df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="n">parameters</span>
+
+ <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">df</span></div>
+
+
+<div class="viewcode-block" id="plot_system"><a class="viewcode-back" href="../../../plot_functions.html#binarycpython.utils.plot_functions.plot_system">[docs]</a><span class="k">def</span> <span class="nf">plot_system</span><span class="p">(</span><span class="n">plot_type</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to plot the different quantities of a system.</span>
+
+<span class="sd"> This goes (in general) via the following steps:</span>
+<span class="sd"> - a preset custom logging for a specific plotting routine is loaded, depending on the choice of plot_type</span>
+<span class="sd"> - This is used for the run_system call</span>
+<span class="sd"> - The output of this run_system is loaded into a dataframe by</span>
+<span class="sd"> parsing it with a corresponding parsing function</span>
+<span class="sd"> - The dataframe is passed to the plotting routine</span>
+<span class="sd"> - plot is shown or returned.</span>
+
+<span class="sd"> There are several pre-set plots to choose from:</span>
+<span class="sd"> - mass_evolution</span>
+<span class="sd"> - orbit_evolution</span>
+<span class="sd"> - hr_diagram</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: Complex Function!</span>
+<span class="sd"> - TODO: make sure this way of passing args works correctly.</span>
+<span class="sd"> - TODO: make the plotting specific keywords available via the inspect stuff</span>
+
+<span class="sd"> All keywords are considered kwargs, except for plot_type</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> plot_type: string input should be one of ['mass_evolution', 'orbit_evolution', 'hr_diagram'].</span>
+<span class="sd"> Input will be matched against this, and then go through a dictionary to pick the correct plotting function.</span>
+<span class="sd"> show_plot: boolean whether to show the plot. If False it returns the figure object</span>
+<span class="sd"> (makes so that you can customize it)</span>
+<span class="sd"> show_stellar_types: whether to plot the stellar type evolution on a second pane.</span>
+<span class="sd"> This is not included in all the plotting routines.</span>
+<span class="sd"> Other input: other kwargs that are passed to run_system</span>
+<span class="sd"> (inspect the docstring of run_system for more info)</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> returns a object figure if show_plot = false</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># set defaults and options</span>
+ <span class="n">show_plot</span> <span class="o">=</span> <span class="kc">False</span>
+ <span class="n">show_stellar_types</span> <span class="o">=</span> <span class="kc">False</span>
+
+ <span class="n">plot_types_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"mass_evolution"</span><span class="p">:</span> <span class="p">{</span>
+ <span class="s2">"plot_function"</span><span class="p">:</span> <span class="n">plot_masses</span><span class="p">,</span>
+ <span class="s2">"custom_logging_string"</span><span class="p">:</span> <span class="n">CUSTOM_LOGGING_STRING_MASSES</span><span class="p">,</span>
+ <span class="s2">"parse_function"</span><span class="p">:</span> <span class="n">parse_function_masses</span><span class="p">,</span>
+ <span class="p">},</span>
+ <span class="s2">"orbit_evolution"</span><span class="p">:</span> <span class="p">{</span>
+ <span class="s2">"plot_function"</span><span class="p">:</span> <span class="n">plot_orbit</span><span class="p">,</span>
+ <span class="s2">"custom_logging_string"</span><span class="p">:</span> <span class="n">CUSTOM_LOGGING_STRING_ORBIT</span><span class="p">,</span>
+ <span class="s2">"parse_function"</span><span class="p">:</span> <span class="n">parse_function_orbit</span><span class="p">,</span>
+ <span class="p">},</span>
+ <span class="s2">"hr_diagram"</span><span class="p">:</span> <span class="p">{</span>
+ <span class="s2">"plot_function"</span><span class="p">:</span> <span class="n">plot_HR_diagram</span><span class="p">,</span>
+ <span class="s2">"custom_logging_string"</span><span class="p">:</span> <span class="n">CUSTOM_LOGGING_STRING_HR_DIAGRAM</span><span class="p">,</span>
+ <span class="s2">"parse_function"</span><span class="p">:</span> <span class="n">parse_function_hr_diagram</span><span class="p">,</span>
+ <span class="p">},</span>
+ <span class="p">}</span>
+ <span class="n">plot_system_specific_keywords</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"plot_type"</span><span class="p">,</span> <span class="s2">"show_plot"</span><span class="p">,</span> <span class="s2">"show_stellar_types"</span><span class="p">]</span>
+
+ <span class="c1"># First check on the plot_type input</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">plot_type</span> <span class="ow">in</span> <span class="n">plot_types_dict</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"Warning, the provided plot type is not known. </span><span class="se">\</span>
+<span class="s2"> Please choose one from the following:</span><span class="se">\n\t</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">plot_types_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="c1"># First: check all the arguments. Chosen to not check all the keywords for run_system</span>
+ <span class="c1"># and binary_c specifically, but just to pick out the ones needed for this routine.</span>
+ <span class="c1"># run_system will handle the rest</span>
+ <span class="n">run_system_arg_dict</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+ <span class="k">if</span> <span class="n">key</span> <span class="o">==</span> <span class="s2">"show_plot"</span><span class="p">:</span>
+ <span class="n">show_plot</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+ <span class="k">elif</span> <span class="n">key</span> <span class="o">==</span> <span class="s2">"show_stellar_types"</span><span class="p">:</span>
+ <span class="n">show_stellar_types</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># The rest will be passed to run_system</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">run_system_arg_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># TODO: When a list of plot_types is passed, make it so that the strings are chained,</span>
+ <span class="c1"># and that the output of the binary_c call is handled by multiple parsers</span>
+ <span class="n">custom_logging_code</span> <span class="o">=</span> <span class="n">binary_c_log_code</span><span class="p">(</span>
+ <span class="n">plot_types_dict</span><span class="p">[</span><span class="n">plot_type</span><span class="p">][</span><span class="s2">"custom_logging_string"</span><span class="p">]</span>
+ <span class="p">)</span>
+ <span class="n">run_system_arg_dict</span><span class="p">[</span><span class="s2">"custom_logging_code"</span><span class="p">]</span> <span class="o">=</span> <span class="n">custom_logging_code</span>
+
+ <span class="n">run_system_arg_dict</span><span class="p">[</span><span class="s2">"parse_function"</span><span class="p">]</span> <span class="o">=</span> <span class="n">plot_types_dict</span><span class="p">[</span><span class="n">plot_type</span><span class="p">][</span><span class="s2">"parse_function"</span><span class="p">]</span>
+
+ <span class="c1"># Run and get the output of the parse stellar_type_dict_shortfunction</span>
+ <span class="n">binary_c_output_df</span> <span class="o">=</span> <span class="n">run_system</span><span class="p">(</span><span class="o">**</span><span class="n">run_system_arg_dict</span><span class="p">)</span>
+
+ <span class="n">fig</span> <span class="o">=</span> <span class="n">plot_types_dict</span><span class="p">[</span><span class="n">plot_type</span><span class="p">][</span><span class="s2">"plot_function"</span><span class="p">](</span>
+ <span class="n">binary_c_output_df</span><span class="p">,</span> <span class="n">show_plot</span><span class="o">=</span><span class="n">show_plot</span><span class="p">,</span> <span class="n">show_stellar_types</span><span class="o">=</span><span class="n">show_stellar_types</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">show_plot</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">fig</span></div>
+
+
+<span class="c1"># from david_phd_functions.plotting.custom_mpl_settings import load_mpl_rc</span>
+<span class="c1"># load_mpl_rc()</span>
+
+<span class="c1"># fig = plot_system(</span>
+<span class="c1"># plot_type="mass_evolution",</span>
+<span class="c1"># M_1=10,</span>
+<span class="c1"># M_2=5,</span>
+<span class="c1"># separation=1000000,</span>
+<span class="c1"># orbital_period=100000000,</span>
+<span class="c1"># max_evolution_time=15000,</span>
+<span class="c1"># show_plot=True,</span>
+<span class="c1"># )</span>
+
+<span class="c1"># fig.axes[0].set_xlim(0, 150)</span>
+<span class="c1"># plt.show()</span>
+</pre></div>
+
+ </div>
+
+ </div>
+ <footer>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
+
+
+
+</footer>
+
+ </div>
+ </div>
+
+ </section>
+
+ </div>
+
+
+ <script type="text/javascript">
+ jQuery(function () {
+ SphinxRtdTheme.Navigation.enable(true);
+ });
+ </script>
+
+
+
+
+
+
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/build/html/_modules/binarycpython/utils/run_system_wrapper.html b/docs/build/html/_modules/binarycpython/utils/run_system_wrapper.html
new file mode 100644
index 0000000000000000000000000000000000000000..07b981ddcd96cce57705f517816a939cdcdd5feb
--- /dev/null
+++ b/docs/build/html/_modules/binarycpython/utils/run_system_wrapper.html
@@ -0,0 +1,315 @@
+
+
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" >
+<head>
+ <meta charset="utf-8">
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+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+ <title>binarycpython.utils.run_system_wrapper — binary_c-python documentation</title>
+
+
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+ <link rel="stylesheet" href="../../../_static/css/theme.css" type="text/css" />
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+<li class="toctree-l1"><a class="reference internal" href="../../../readme_link.html">Python module for binary_c</a></li>
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+
+ <h1>Source code for binarycpython.utils.run_system_wrapper</h1><div class="highlight"><pre>
+<span></span><span class="sd">"""</span>
+<span class="sd">Module containing the utility function run_system,</span>
+<span class="sd">which handles a lot of things by analysing the passed kwargs</span>
+<span class="sd">"""</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython.utils.functions</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">create_arg_string</span><span class="p">,</span>
+ <span class="n">get_arg_keys</span><span class="p">,</span>
+ <span class="n">remove_file</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython.utils.custom_logging_functions</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">create_and_load_logging_function</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython</span> <span class="kn">import</span> <span class="n">_binary_c_bindings</span>
+
+
+<div class="viewcode-block" id="run_system"><a class="viewcode-back" href="../../../run_system_wrapper.html#binarycpython.utils.run_system_wrapper.run_system">[docs]</a><span class="k">def</span> <span class="nf">run_system</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that runs a system.</span>
+<span class="sd"> Mostly as a useful utility function that handles all the setup of argument lists etc.</span>
+
+<span class="sd"> Examples:</span>
+<span class="sd"> - run_system(M_1=10): will run a system with ZAMS mass 1 = 10</span>
+<span class="sd"> - run_system(M_1=10, log_filename="~/example_log.txt"): Will run a system</span>
+<span class="sd"> and write the logfile too</span>
+<span class="sd"> - run_system(M_1=10, parse_function=fancy_parsing_function)</span>
+
+<span class="sd"> Tasks:</span>
+<span class="sd"> - TODO: Expand functionality.</span>
+<span class="sd"> - TODO: Notify user when an unknown keyword is passed.</span>
+
+<span class="sd"> All the arguments known to binary_c can be passed to this function as kwargs.</span>
+<span class="sd"> Several extra arguments can be passed through the kwargs:</span>
+
+<span class="sd"> Kwargs:</span>
+<span class="sd"> custom_logging_code: Should contain a string containing the c-code for the shared library.</span>
+<span class="sd"> If this is provided binary_c will use that custom logging code to output its data</span>
+<span class="sd"> log_filename: Should contain name of the binary_c system logfile.</span>
+<span class="sd"> Passing this will make sure that the filename gets written for a run</span>
+<span class="sd"> (its default behaviour is NOT to write a logfile for a system)</span>
+<span class="sd"> parse_function (function): should contain a function that parses the output.</span>
+<span class="sd"> The parse function should take 1 required parameter: the output of the binaryc run</span>
+<span class="sd"> Passing this will call the parse_function by passing it the output of the binary_c call</span>
+<span class="sd"> and returns what the parse_function returns</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Either returns the raw output of binary_c, or the output of a parse_function if parse_function is given</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Load available arg keywords</span>
+ <span class="n">available_binary_c_arg_keywords</span> <span class="o">=</span> <span class="n">get_arg_keys</span><span class="p">()</span>
+
+ <span class="n">other_keywords</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"custom_logging_code"</span><span class="p">,</span> <span class="s2">"log_filename"</span><span class="p">,</span> <span class="s2">"parse_function"</span><span class="p">]</span>
+
+ <span class="c1"># Set default values</span>
+ <span class="n">func_memaddr</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span>
+ <span class="n">write_logfile</span> <span class="o">=</span> <span class="mi">0</span>
+
+ <span class="c1"># Create dict to pass as argstring</span>
+ <span class="n">binary_c_args</span> <span class="o">=</span> <span class="p">{}</span>
+
+ <span class="c1"># Check which binary_c arguments have been passed and put them into a dict</span>
+ <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+ <span class="k">if</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">available_binary_c_arg_keywords</span><span class="p">:</span>
+ <span class="n">binary_c_args</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+ <span class="c1"># Notify user when this key wont be used</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">other_keywords</span><span class="p">:</span>
+ <span class="nb">print</span><span class="p">(</span>
+ <span class="s2">"The following keyword was not recognized and wont be used:</span><span class="se">\n\t</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">key</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Check if custom logging is required</span>
+ <span class="k">if</span> <span class="s2">"custom_logging_code"</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+ <span class="n">func_memaddr</span><span class="p">,</span> <span class="n">shared_lib_filename</span> <span class="o">=</span> <span class="n">create_and_load_logging_function</span><span class="p">(</span>
+ <span class="n">kwargs</span><span class="p">[</span><span class="s2">"custom_logging_code"</span><span class="p">]</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Check if writing logfile is required:</span>
+ <span class="k">if</span> <span class="s2">"log_filename"</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+ <span class="n">write_logfile</span> <span class="o">=</span> <span class="mi">1</span>
+
+ <span class="c1"># Construct arguments string and final execution string</span>
+ <span class="n">arg_string</span> <span class="o">=</span> <span class="n">create_arg_string</span><span class="p">(</span><span class="n">binary_c_args</span><span class="p">)</span>
+ <span class="n">binary_c_command</span> <span class="o">=</span> <span class="s2">"binary_c </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">arg_string</span><span class="p">)</span>
+
+ <span class="c1"># Call binary_c</span>
+ <span class="n">output</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">run_system</span><span class="p">(</span>
+ <span class="n">binary_c_command</span><span class="p">,</span>
+ <span class="n">custom_logging_func_memaddr</span><span class="o">=</span><span class="n">func_memaddr</span><span class="p">,</span>
+ <span class="n">write_logfile</span><span class="o">=</span><span class="n">write_logfile</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Remove and unload files. .</span>
+ <span class="k">if</span> <span class="s2">"custom_logging_code"</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+ <span class="n">remove_file</span><span class="p">(</span><span class="n">shared_lib_filename</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="s2">"parse_function"</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">kwargs</span><span class="p">[</span><span class="s2">"parse_function"</span><span class="p">](</span><span class="n">output</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">output</span></div>
+</pre></div>
+
+ </div>
+
+ </div>
+ <footer>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
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+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
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+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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diff --git a/docs/build/html/_modules/binarycpython/utils/spacing_functions.html b/docs/build/html/_modules/binarycpython/utils/spacing_functions.html
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index 0000000000000000000000000000000000000000..c165377c65f294fcdfc58afbe51367cf41dfbd17
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+
+ <h1>Source code for binarycpython.utils.spacing_functions</h1><div class="highlight"><pre>
+<span></span><span class="sd">"""</span>
+<span class="sd">Module containing the spacing functions for the binarycpython package. Very under-populated at the moment, but more are likely to come soon</span>
+
+<span class="sd">Tasks:</span>
+<span class="sd"> TODO: add more spacing functions to this module.</span>
+<span class="sd">"""</span>
+
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+
+<div class="viewcode-block" id="const"><a class="viewcode-back" href="../../../spacing_functions.html#binarycpython.utils.spacing_functions.const">[docs]</a><span class="k">def</span> <span class="nf">const</span><span class="p">(</span>
+ <span class="n">min_bound</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">max_bound</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">steps</span><span class="p">:</span> <span class="nb">int</span>
+<span class="p">)</span> <span class="o">-></span> <span class="nb">list</span><span class="p">:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Samples a range linearly. Uses numpy linspace.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> min_bound: lower bound of range</span>
+<span class="sd"> max_bound: upper bound of range</span>
+<span class="sd"> steps: amount of segments between min_bound and max_bound</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> np.linspace(min_bound, max_bound, steps)</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">min_bound</span><span class="p">,</span> <span class="n">max_bound</span><span class="p">,</span> <span class="n">steps</span><span class="p">)</span></div>
+</pre></div>
+
+ </div>
+
+ </div>
+ <footer>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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index 0000000000000000000000000000000000000000..f69f09795a429189caf4dc1f1ee03ae73a298f25
--- /dev/null
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+ <h1>Source code for binarycpython.utils.useful_funcs</h1><div class="highlight"><pre>
+<span></span><span class="sd">"""</span>
+<span class="sd">Collection of useful functions.</span>
+
+<span class="sd">Part of this is copied/inspired by Rob's binary_stars module</span>
+
+<span class="sd">Functions:</span>
+<span class="sd"> - calc_period_from_sep(m1, m2, sep) calculate the period given the separation.</span>
+<span class="sd"> - calc_sep_from_period(m1, m2, per) does the inverse.</span>
+<span class="sd"> - rzams(m, z) gives you the ZAMS radius of a star</span>
+<span class="sd"> - ZAMS_collision(m1, m2, e, sep, z) returns 1 if stars collide on the ZAMS</span>
+<span class="sd"> - roche_lobe(q): returns roche lobe radius in units of separation</span>
+<span class="sd"> - ragb(m, z): radius at first thermal pulse</span>
+
+<span class="sd">Tasks:</span>
+<span class="sd"> - TODO: check whether these functions are correct</span>
+<span class="sd"> - TODO: add unittest for maximum_mass_ratio_for_RLOF</span>
+<span class="sd">"""</span>
+
+<span class="kn">import</span> <span class="nn">math</span>
+<span class="kn">import</span> <span class="nn">re</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython</span> <span class="kn">import</span> <span class="n">_binary_c_bindings</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.functions</span> <span class="kn">import</span> <span class="n">create_arg_string</span>
+
+<span class="n">AURSUN</span> <span class="o">=</span> <span class="mf">2.150445198804013386961742071435e02</span>
+<span class="n">YEARDY</span> <span class="o">=</span> <span class="mf">3.651995478818308811241877265275e02</span>
+
+
+<div class="viewcode-block" id="minimum_period_for_RLOF"><a class="viewcode-back" href="../../../useful_funcs.html#binarycpython.utils.useful_funcs.minimum_period_for_RLOF">[docs]</a><span class="k">def</span> <span class="nf">minimum_period_for_RLOF</span><span class="p">(</span><span class="n">M1</span><span class="p">,</span> <span class="n">M2</span><span class="p">,</span> <span class="n">metallicity</span><span class="p">,</span> <span class="n">store_memaddr</span><span class="o">=-</span><span class="mi">1</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Wrapper function for _binary_c_bindings.return_minimum_orbit_for_RLOF</span>
+
+<span class="sd"> Handles the output and returns the minimum orbital period at which RLOF just does not occur at zams</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> M1: Primary mass in solar mass</span>
+<span class="sd"> M2: Secondary mass in solar mass</span>
+<span class="sd"> metallicity: metallicity</span>
+<span class="sd"> store_memaddr (optional): store memory adress</span>
+<span class="sd"> Returns:</span>
+<span class="sd"> minimum orbital_period that just does not cause a RLOF at ZAMS</span>
+
+<span class="sd"> """</span>
+
+ <span class="n">bse_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"M_1"</span><span class="p">:</span> <span class="n">M1</span><span class="p">,</span>
+ <span class="s2">"M_2"</span><span class="p">:</span> <span class="n">M2</span><span class="p">,</span>
+ <span class="s2">"metallicity"</span><span class="p">:</span> <span class="n">metallicity</span><span class="p">,</span>
+ <span class="s2">"minimum_orbital_period_for_instant_RLOF"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+ <span class="s2">"minimum_separation_for_instant_RLOF"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+ <span class="p">}</span>
+
+ <span class="n">argstring</span> <span class="o">=</span> <span class="s2">"binary_c "</span> <span class="o">+</span> <span class="n">create_arg_string</span><span class="p">(</span><span class="n">bse_dict</span><span class="p">)</span>
+
+ <span class="n">output</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">return_minimum_orbit_for_RLOF</span><span class="p">(</span><span class="n">argstring</span><span class="p">,</span> <span class="n">store_memaddr</span><span class="p">)</span>
+
+ <span class="n">minimum_period</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">re</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="s2">"MINIMUM PERIOD (.*)"</span><span class="p">,</span> <span class="n">output</span><span class="p">)</span><span class="o">.</span><span class="n">group</span><span class="p">(</span><span class="mi">1</span><span class="p">))</span>
+
+ <span class="k">return</span> <span class="n">minimum_period</span></div>
+
+
+<span class="c1"># print(minimum_period_for_RLOF(10, 5, 0.02))</span>
+<span class="c1"># print(minimum_period_for_RLOF(10, 2, 0.02))</span>
+
+
+<div class="viewcode-block" id="minimum_separation_for_RLOF"><a class="viewcode-back" href="../../../useful_funcs.html#binarycpython.utils.useful_funcs.minimum_separation_for_RLOF">[docs]</a><span class="k">def</span> <span class="nf">minimum_separation_for_RLOF</span><span class="p">(</span><span class="n">M1</span><span class="p">,</span> <span class="n">M2</span><span class="p">,</span> <span class="n">metallicity</span><span class="p">,</span> <span class="n">store_memaddr</span><span class="o">=-</span><span class="mi">1</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Wrapper function for _binary_c_bindings.return_minimum_orbit_for_RLOF</span>
+
+<span class="sd"> Handles the output and returns the minimum separation at which RLOF just does not occur at ZAMS</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> M1: Primary mass in solar mass</span>
+<span class="sd"> M2: Secondary mass in solar mass</span>
+<span class="sd"> metallicity: metallicity</span>
+<span class="sd"> store_memaddr (optional): store memory adress</span>
+<span class="sd"> Returns:</span>
+<span class="sd"> minimum separation that just does not cause a RLOF at ZAMS</span>
+
+<span class="sd"> """</span>
+
+ <span class="n">bse_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"M_1"</span><span class="p">:</span> <span class="n">M1</span><span class="p">,</span>
+ <span class="s2">"M_2"</span><span class="p">:</span> <span class="n">M2</span><span class="p">,</span>
+ <span class="s2">"metallicity"</span><span class="p">:</span> <span class="n">metallicity</span><span class="p">,</span>
+ <span class="s2">"minimum_orbital_period_for_instant_RLOF"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+ <span class="s2">"minimum_separation_for_instant_RLOF"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+ <span class="p">}</span>
+
+ <span class="n">argstring</span> <span class="o">=</span> <span class="s2">"binary_c "</span> <span class="o">+</span> <span class="n">create_arg_string</span><span class="p">(</span><span class="n">bse_dict</span><span class="p">)</span>
+
+ <span class="n">output</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">return_minimum_orbit_for_RLOF</span><span class="p">(</span><span class="n">argstring</span><span class="p">,</span> <span class="n">store_memaddr</span><span class="p">)</span>
+
+ <span class="n">minimum_separation</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">re</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="s2">"MINIMUM SEPARATION (.*)"</span><span class="p">,</span> <span class="n">output</span><span class="p">)</span><span class="o">.</span><span class="n">group</span><span class="p">(</span><span class="mi">1</span><span class="p">))</span>
+
+ <span class="k">return</span> <span class="n">minimum_separation</span></div>
+
+
+<span class="c1"># print(minimum_separation_for_RLOF(0.08, 0.08, 0.00002))</span>
+<span class="c1"># print(minimum_separation_for_RLOF(10, 2, 0.02))</span>
+
+
+<div class="viewcode-block" id="maximum_mass_ratio_for_RLOF"><a class="viewcode-back" href="../../../useful_funcs.html#binarycpython.utils.useful_funcs.maximum_mass_ratio_for_RLOF">[docs]</a><span class="k">def</span> <span class="nf">maximum_mass_ratio_for_RLOF</span><span class="p">(</span>
+ <span class="n">M1</span><span class="p">,</span> <span class="n">orbital_period</span><span class="p">,</span> <span class="n">metallicity</span><span class="o">=</span><span class="mf">0.02</span><span class="p">,</span> <span class="n">store_memaddr</span><span class="o">=</span><span class="kc">None</span>
+<span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Wrapper function for _binary_c_bindings.return_maximum_mass_ratio_for_RLOF</span>
+
+<span class="sd"> Handles the output and returns the maximum mass ratio at which RLOF just does not occur at ZAMS</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> M1: Primary mass in solar mass</span>
+<span class="sd"> orbital_period: orbital period in days</span>
+<span class="sd"> metallicity: metallicity</span>
+<span class="sd"> store_memaddr (optional): store memory adress</span>
+<span class="sd"> Returns:</span>
+<span class="sd"> maximum mass ratio that just does not cause a RLOF at ZAMS</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># Convert to orbital period in years</span>
+ <span class="n">orbital_period</span> <span class="o">=</span> <span class="n">orbital_period</span> <span class="o">/</span> <span class="mf">3.651995478818308811241877265275e02</span>
+
+ <span class="n">bse_dict</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="s2">"M_1"</span><span class="p">:</span> <span class="n">M1</span><span class="p">,</span>
+ <span class="s2">"M_2"</span><span class="p">:</span> <span class="mf">0.01</span><span class="p">,</span>
+ <span class="s2">"separation"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span>
+ <span class="s2">"orbital_period"</span><span class="p">:</span> <span class="n">orbital_period</span><span class="p">,</span>
+ <span class="s2">"metallicity"</span><span class="p">:</span> <span class="n">metallicity</span><span class="p">,</span>
+ <span class="s2">"maximum_mass_ratio_for_instant_RLOF"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+ <span class="p">}</span>
+
+ <span class="n">argstring</span> <span class="o">=</span> <span class="s2">"binary_c "</span> <span class="o">+</span> <span class="n">create_arg_string</span><span class="p">(</span><span class="n">bse_dict</span><span class="p">)</span>
+ <span class="n">output</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">return_maximum_mass_ratio_for_RLOF</span><span class="p">(</span>
+ <span class="n">argstring</span><span class="p">,</span> <span class="n">store_memaddr</span>
+ <span class="p">)</span>
+ <span class="n">stripped</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+
+ <span class="k">if</span> <span class="n">stripped</span> <span class="o">==</span> <span class="s2">"NO MAXIMUM MASS RATIO < 1"</span><span class="p">:</span>
+ <span class="n">maximum_mass_ratio</span> <span class="o">=</span> <span class="mi">1</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">maximum_mass_ratio</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">stripped</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+ <span class="k">return</span> <span class="n">maximum_mass_ratio</span></div>
+
+
+<span class="c1"># print(maximum_mass_ratio_for_RLOF(4, 0.1, 0.002))</span>
+<span class="c1"># print(maximum_mass_ratio_for_RLOF(4, 1, 0.002))</span>
+
+
+<div class="viewcode-block" id="calc_period_from_sep"><a class="viewcode-back" href="../../../useful_funcs.html#binarycpython.utils.useful_funcs.calc_period_from_sep">[docs]</a><span class="k">def</span> <span class="nf">calc_period_from_sep</span><span class="p">(</span>
+ <span class="n">M1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">M2</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">sep</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> calculate period from separation</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> M1: Primary mass in solar mass</span>
+<span class="sd"> M2: Secondary mass in solar mass</span>
+<span class="sd"> sep: Separation in solar radii</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> period in days</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="n">YEARDY</span> <span class="o">*</span> <span class="p">(</span><span class="n">sep</span> <span class="o">/</span> <span class="n">AURSUN</span><span class="p">)</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">sep</span> <span class="o">/</span> <span class="p">(</span><span class="n">AURSUN</span> <span class="o">*</span> <span class="p">(</span><span class="n">M1</span> <span class="o">+</span> <span class="n">M2</span><span class="p">)))</span></div>
+
+
+<div class="viewcode-block" id="calc_sep_from_period"><a class="viewcode-back" href="../../../useful_funcs.html#binarycpython.utils.useful_funcs.calc_sep_from_period">[docs]</a><span class="k">def</span> <span class="nf">calc_sep_from_period</span><span class="p">(</span>
+ <span class="n">M1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">M2</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">period</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Calculate separation from period.</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> M1: Primary mass in solar mass</span>
+<span class="sd"> M2: Secondary mass in solar mass</span>
+<span class="sd"> period: Period of binary in days</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Separation in solar radii</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="n">AURSUN</span> <span class="o">*</span> <span class="p">(</span><span class="n">period</span> <span class="o">*</span> <span class="n">period</span> <span class="o">*</span> <span class="p">(</span><span class="n">M1</span> <span class="o">+</span> <span class="n">M2</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">YEARDY</span> <span class="o">*</span> <span class="n">YEARDY</span><span class="p">))</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">/</span> <span class="mf">3.0</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="roche_lobe"><a class="viewcode-back" href="../../../useful_funcs.html#binarycpython.utils.useful_funcs.roche_lobe">[docs]</a><span class="k">def</span> <span class="nf">roche_lobe</span><span class="p">(</span><span class="n">q</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> A function to evaluate R_L/a(q), Eggleton 1983.</span>
+
+<span class="sd"> # TODO: check the definition of the mass ratio</span>
+<span class="sd"> # TODO: check whether the logs are correct</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> q: mass ratio of the binary (secondary/primary). If you input: q = mass_accretor/mass_donor, you will get the rochelobe radius of the accretor. And vice versa for the donor.</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> Roche lobe radius in units of the separation</span>
+<span class="sd"> """</span>
+
+ <span class="n">p</span> <span class="o">=</span> <span class="n">q</span> <span class="o">**</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">/</span> <span class="mf">3.0</span><span class="p">)</span>
+ <span class="k">return</span> <span class="mf">0.49</span> <span class="o">*</span> <span class="n">p</span> <span class="o">*</span> <span class="n">p</span> <span class="o">/</span> <span class="p">(</span><span class="mf">0.6</span> <span class="o">*</span> <span class="n">p</span> <span class="o">*</span> <span class="n">p</span> <span class="o">+</span> <span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mf">1.0</span> <span class="o">+</span> <span class="n">p</span><span class="p">))</span></div>
+
+
+<div class="viewcode-block" id="ragb"><a class="viewcode-back" href="../../../useful_funcs.html#binarycpython.utils.useful_funcs.ragb">[docs]</a><span class="k">def</span> <span class="nf">ragb</span><span class="p">(</span><span class="n">m</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span> <span class="n">z</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">])</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to calculate radius of a star in units of solar radii at first thermal pulse as a function of mass (Z=0.02 only, but also good for Z=0.0001)</span>
+
+<span class="sd"> TODO: ask rob about this function</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass of star in units of solar mass</span>
+<span class="sd"> z: metallicity of star</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> radius at first thermal pulse in units of solar radii</span>
+<span class="sd"> """</span>
+
+ <span class="k">return</span> <span class="n">m</span> <span class="o">*</span> <span class="mf">40.0</span> <span class="o">+</span> <span class="mf">20.0</span></div>
+
+
+<div class="viewcode-block" id="zams_collision"><a class="viewcode-back" href="../../../useful_funcs.html#binarycpython.utils.useful_funcs.zams_collision">[docs]</a><span class="k">def</span> <span class="nf">zams_collision</span><span class="p">(</span>
+ <span class="n">m1</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">m2</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">sep</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">e</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+ <span class="n">z</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]:</span>
+ <span class="sd">"""</span>
+<span class="sd"> given m1,m2, separation and eccentricity (and metallicity)</span>
+<span class="sd"> determine if two stars collide on the ZAMS</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m1: Primary mass in solar mass</span>
+<span class="sd"> m2: Secondary mass in solar mass</span>
+<span class="sd"> sep: separation in solar radii</span>
+<span class="sd"> e: eccentricity</span>
+<span class="sd"> z: metallicity</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> integer boolean whether the binary stars will collide at pericenter</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># calculate periastron distance</span>
+ <span class="n">peri_distance</span> <span class="o">=</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">-</span> <span class="n">e</span><span class="p">)</span> <span class="o">*</span> <span class="n">sep</span>
+
+ <span class="c1"># calculate star radii</span>
+ <span class="n">r1</span> <span class="o">=</span> <span class="n">rzams</span><span class="p">(</span><span class="n">m1</span><span class="p">,</span> <span class="n">z</span><span class="p">)</span>
+ <span class="n">r2</span> <span class="o">=</span> <span class="n">rzams</span><span class="p">(</span><span class="n">m2</span><span class="p">,</span> <span class="n">z</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">r1</span> <span class="o">+</span> <span class="n">r2</span> <span class="o">></span> <span class="n">peri_distance</span><span class="p">:</span>
+ <span class="k">return</span> <span class="mi">1</span>
+ <span class="k">return</span> <span class="mi">0</span></div>
+
+
+<div class="viewcode-block" id="rzams"><a class="viewcode-back" href="../../../useful_funcs.html#binarycpython.utils.useful_funcs.rzams">[docs]</a><span class="k">def</span> <span class="nf">rzams</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="n">z</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to determine the radius of a ZAMS star as a function of m and z:</span>
+
+<span class="sd"> Based on the fits of Tout et al., 1996, MNRAS, 281, 257</span>
+
+<span class="sd"> Args:</span>
+<span class="sd"> m: mass of star in solar mass</span>
+<span class="sd"> z: metallicity</span>
+
+<span class="sd"> Returns:</span>
+<span class="sd"> radius of star at ZAMS, in solar radii</span>
+<span class="sd"> """</span>
+
+ <span class="n">lzs</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">z</span> <span class="o">/</span> <span class="mf">0.02</span><span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="c1"># A function to evaluate Rzams</span>
+ <span class="c1"># ( from Tout et al., 1996, MNRAS, 281, 257 ).</span>
+ <span class="c1">#</span>
+
+ <span class="n">p</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="n">xz</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="mi">666</span><span class="p">,</span>
+ <span class="mf">0.39704170</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.32913574</span><span class="p">,</span>
+ <span class="mf">0.34776688</span><span class="p">,</span>
+ <span class="mf">0.37470851</span><span class="p">,</span>
+ <span class="mf">0.09011915</span><span class="p">,</span>
+ <span class="mf">8.52762600</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">24.41225973</span><span class="p">,</span>
+ <span class="mf">56.43597107</span><span class="p">,</span>
+ <span class="mf">37.06152575</span><span class="p">,</span>
+ <span class="mf">5.45624060</span><span class="p">,</span>
+ <span class="mf">0.00025546</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.00123461</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.00023246</span><span class="p">,</span>
+ <span class="mf">0.00045519</span><span class="p">,</span>
+ <span class="mf">0.00016176</span><span class="p">,</span>
+ <span class="mf">5.43288900</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">8.62157806</span><span class="p">,</span>
+ <span class="mf">13.44202049</span><span class="p">,</span>
+ <span class="mf">14.51584135</span><span class="p">,</span>
+ <span class="mf">3.39793084</span><span class="p">,</span>
+ <span class="mf">5.56357900</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">10.32345224</span><span class="p">,</span>
+ <span class="mf">19.44322980</span><span class="p">,</span>
+ <span class="mf">18.97361347</span><span class="p">,</span>
+ <span class="mf">4.16903097</span><span class="p">,</span>
+ <span class="mf">0.78866060</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">2.90870942</span><span class="p">,</span>
+ <span class="mf">6.54713531</span><span class="p">,</span>
+ <span class="mf">4.05606657</span><span class="p">,</span>
+ <span class="mf">0.53287322</span><span class="p">,</span>
+ <span class="mf">0.00586685</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.01704237</span><span class="p">,</span>
+ <span class="mf">0.03872348</span><span class="p">,</span>
+ <span class="mf">0.02570041</span><span class="p">,</span>
+ <span class="mf">0.00383376</span><span class="p">,</span>
+ <span class="mf">1.71535900</span><span class="p">,</span>
+ <span class="mf">0.62246212</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.92557761</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">1.16996966</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.30631491</span><span class="p">,</span>
+ <span class="mf">6.59778800</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.42450044</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">12.13339427</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">10.73509484</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">2.51487077</span><span class="p">,</span>
+ <span class="mf">10.08855000</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">7.11727086</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">31.67119479</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">24.24848322</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">5.33608972</span><span class="p">,</span>
+ <span class="mf">1.01249500</span><span class="p">,</span>
+ <span class="mf">0.32699690</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.00923418</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.03876858</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.00412750</span><span class="p">,</span>
+ <span class="mf">0.07490166</span><span class="p">,</span>
+ <span class="mf">0.02410413</span><span class="p">,</span>
+ <span class="mf">0.07233664</span><span class="p">,</span>
+ <span class="mf">0.03040467</span><span class="p">,</span>
+ <span class="mf">0.00197741</span><span class="p">,</span>
+ <span class="mf">0.01077422</span><span class="p">,</span>
+ <span class="mf">3.08223400</span><span class="p">,</span>
+ <span class="mf">0.94472050</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">2.15200882</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">2.49219496</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.63848738</span><span class="p">,</span>
+ <span class="mf">17.84778000</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">7.45345690</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">48.96066856</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">40.05386135</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">9.09331816</span><span class="p">,</span>
+ <span class="mf">0.00022582</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.00186899</span><span class="p">,</span>
+ <span class="mf">0.00388783</span><span class="p">,</span>
+ <span class="mf">0.00142402</span><span class="p">,</span>
+ <span class="o">-</span><span class="mf">0.00007671</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="n">p</span><span class="p">[</span><span class="s2">"8"</span><span class="p">]</span> <span class="o">=</span> <span class="n">xz</span><span class="p">[</span><span class="mi">36</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">37</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">38</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">39</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="n">xz</span><span class="p">[</span><span class="mi">40</span><span class="p">])))</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"9"</span><span class="p">]</span> <span class="o">=</span> <span class="n">xz</span><span class="p">[</span><span class="mi">41</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">42</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">43</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">44</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="n">xz</span><span class="p">[</span><span class="mi">45</span><span class="p">])))</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"10"</span><span class="p">]</span> <span class="o">=</span> <span class="n">xz</span><span class="p">[</span><span class="mi">46</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">47</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">48</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">49</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="n">xz</span><span class="p">[</span><span class="mi">50</span><span class="p">])))</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"11"</span><span class="p">]</span> <span class="o">=</span> <span class="n">xz</span><span class="p">[</span><span class="mi">51</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">52</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">53</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">54</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="n">xz</span><span class="p">[</span><span class="mi">55</span><span class="p">])))</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"12"</span><span class="p">]</span> <span class="o">=</span> <span class="n">xz</span><span class="p">[</span><span class="mi">56</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">57</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">58</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">59</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="n">xz</span><span class="p">[</span><span class="mi">60</span><span class="p">])))</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"13"</span><span class="p">]</span> <span class="o">=</span> <span class="n">xz</span><span class="p">[</span><span class="mi">61</span><span class="p">]</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"14"</span><span class="p">]</span> <span class="o">=</span> <span class="n">xz</span><span class="p">[</span><span class="mi">62</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">63</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">64</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">65</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="n">xz</span><span class="p">[</span><span class="mi">66</span><span class="p">])))</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"15"</span><span class="p">]</span> <span class="o">=</span> <span class="n">xz</span><span class="p">[</span><span class="mi">67</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">68</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">69</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">70</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="n">xz</span><span class="p">[</span><span class="mi">71</span><span class="p">])))</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"16"</span><span class="p">]</span> <span class="o">=</span> <span class="n">xz</span><span class="p">[</span><span class="mi">72</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">73</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">74</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="p">(</span><span class="n">xz</span><span class="p">[</span><span class="mi">75</span><span class="p">]</span> <span class="o">+</span> <span class="n">lzs</span> <span class="o">*</span> <span class="n">xz</span><span class="p">[</span><span class="mi">76</span><span class="p">])))</span>
+
+ <span class="n">m195</span> <span class="o">=</span> <span class="n">m</span> <span class="o">**</span> <span class="mf">19.5</span>
+ <span class="n">rad</span> <span class="o">=</span> <span class="p">(</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"8"</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="mf">2.5</span><span class="p">)</span>
+ <span class="o">+</span> <span class="n">p</span><span class="p">[</span><span class="s2">"9"</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="mf">6.5</span><span class="p">)</span>
+ <span class="o">+</span> <span class="n">p</span><span class="p">[</span><span class="s2">"10"</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="mi">11</span><span class="p">)</span>
+ <span class="o">+</span> <span class="n">p</span><span class="p">[</span><span class="s2">"11"</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="mi">19</span><span class="p">)</span>
+ <span class="o">+</span> <span class="n">p</span><span class="p">[</span><span class="s2">"12"</span><span class="p">]</span> <span class="o">*</span> <span class="n">m195</span>
+ <span class="p">)</span> <span class="o">/</span> <span class="p">(</span>
+ <span class="n">p</span><span class="p">[</span><span class="s2">"13"</span><span class="p">]</span>
+ <span class="o">+</span> <span class="n">p</span><span class="p">[</span><span class="s2">"14"</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">*</span> <span class="n">m</span><span class="p">)</span>
+ <span class="o">+</span> <span class="n">p</span><span class="p">[</span><span class="s2">"15"</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="mf">8.5</span><span class="p">)</span>
+ <span class="o">+</span> <span class="p">(</span><span class="n">m</span> <span class="o">**</span> <span class="mf">18.5</span><span class="p">)</span>
+ <span class="o">+</span> <span class="n">p</span><span class="p">[</span><span class="s2">"16"</span><span class="p">]</span> <span class="o">*</span> <span class="n">m195</span>
+ <span class="p">)</span>
+ <span class="k">return</span> <span class="n">rad</span></div>
+</pre></div>
+
+ </div>
+
+ </div>
+ <footer>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
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+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+<li class="toctree-l1"><a class="reference internal" href="../modules.html">Binarycpython code</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../examples.html">Examples</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../grid_options_descriptions.html">Population grid code options</a></li>
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+ <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
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+ <h1>All modules for which code is available</h1>
+<ul><li><a href="binarycpython/utils/custom_logging_functions.html">binarycpython.utils.custom_logging_functions</a></li>
+<li><a href="binarycpython/utils/distribution_functions.html">binarycpython.utils.distribution_functions</a></li>
+<li><a href="binarycpython/utils/functions.html">binarycpython.utils.functions</a></li>
+<li><a href="binarycpython/utils/grid.html">binarycpython.utils.grid</a></li>
+<li><a href="binarycpython/utils/grid_options_defaults.html">binarycpython.utils.grid_options_defaults</a></li>
+<li><a href="binarycpython/utils/plot_functions.html">binarycpython.utils.plot_functions</a></li>
+<li><a href="binarycpython/utils/run_system_wrapper.html">binarycpython.utils.run_system_wrapper</a></li>
+<li><a href="binarycpython/utils/spacing_functions.html">binarycpython.utils.spacing_functions</a></li>
+<li><a href="binarycpython/utils/useful_funcs.html">binarycpython.utils.useful_funcs</a></li>
+</ul>
+
+ </div>
+
+ </div>
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+ <hr/>
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+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+ });
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diff --git a/docs/build/html/_sources/binary_c_parameters.rst.txt b/docs/build/html/_sources/binary_c_parameters.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cdca213e0895c0790c4f7097c7731afe40b9e315
--- /dev/null
+++ b/docs/build/html/_sources/binary_c_parameters.rst.txt
@@ -0,0 +1,2745 @@
+Binary\_c parameters
+====================
+The following chapter contains all the parameters that the current version of binary\_c can handle, along with their descriptions and other properties.
+
+
+This information was obtained by the following binary_c build:
+ **binary_c git branch**: branch_david **binary_c git revision**: 6044:20210720:d1ed5b6c1 **Built on**: Jul 20 2021 13:54:45
+
+
+Section: stars
+--------------
+
+| **Parameter**: metallicity
+| **Description**: This sets the metallicity of the stars, i.e. the amount (by mass) of matter which is not hydrogen or helium. If you are using the BSE algorithm, this must be 1e-4 <= metallicity <= 0.03. See also nucsyn_metallicity and effective_metallicity.
+| **Parameter input type**: Float
+| **Default value**: 0.02
+
+| **Parameter**: effective_metallicity
+| **Description**: This sets effective metallicity of stars as used in routines like the Schneider wind loss. If not set, or set to DEFAULT_TO_METALLICITY (==-1, the default), this is just the same as metallicity. The main difference between effective_metallicity and metallicity is the range of validity: 0 <= effective_metallicity <= 1, while metallicity's range of validity is limited by the stellar evolution algorithm (so, for BSE, is 1e-4 <= metallicity <= 0.03).
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['DEFAULT_TO_METALLICITY = -1']
+
+| **Parameter**: M_1
+| **Description**: The initial mass of star one (in solar units, internally this is star index 0).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: M_2
+| **Description**: The initial mass of star two (in solar units, internally this is star index 1).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: M_3
+| **Description**: The initial mass of star three (in solar units, internally this is star index 2).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: M_4
+| **Description**: The initial mass of star four (in solar units, internally this is star index 3).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: vrot1
+| **Description**: The initial equatorial rotational velocity of star one (in km/s, internally this is star index 0). If 0.0, the Hurley et al 2000/2002 prescription is used to set the main-sequence velocity, so for a truly non-rotating star, set to something small (e.g. 0.001). See also vrot2,3,4.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['VROT_BSE = 0', 'VROT_BREAKUP = -1', 'VROT_SYNC = -2', 'VROT_NON_ROTATING = -3']
+
+| **Parameter**: vrot2
+| **Description**: The initial equatorial rotational velocity of star two (in km/s, internally this is star index 1). If 0.0, the Hurley et al 2000/2002 prescription is used to set the main-sequence velocity, so for a truly non-rotating star, set to something small (e.g. 0.001). See also vrot1,3,4.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['VROT_BSE = 0', 'VROT_BREAKUP = -1', 'VROT_SYNC = -2', 'VROT_NON_ROTATING = -3']
+
+| **Parameter**: vrot3
+| **Description**: The initial equatorial rotational velocity of star three (in km/s, internally this is star index 2). If 0.0, the Hurley et al 2000/2002 prescription is used to set the main-sequence velocity, so for a truly non-rotating star, set to something small (e.g. 0.001). See also vrot1,2,4.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['VROT_BSE = 0', 'VROT_BREAKUP = -1', 'VROT_SYNC = -2', 'VROT_NON_ROTATING = -3']
+
+| **Parameter**: vrot4
+| **Description**: The initial equatorial rotational velocity of star four (in km/s, internally this is star index 3). If 0.0, the Hurley et al 2000/2002 prescription is used to set the main-sequence velocity, so for a truly non-rotating star, set to something small (e.g. 0.001). See also vrot1,2,3.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['VROT_BSE = 0', 'VROT_BREAKUP = -1', 'VROT_SYNC = -2', 'VROT_NON_ROTATING = -3']
+
+| **Parameter**: Prot1
+| **Description**: The initial equatorial rotational velocity of star one (in km/s, internally this is star index 0). See also Prot2,3,4.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: Prot2
+| **Description**: The initial equatorial rotational velocity of star two (in km/s, internally this is star index 1). See also Prot1,3,4.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: Prot3
+| **Description**: The initial equatorial rotational period of star three (in days, internally this is star index 2). See also Prot1,2,4.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: Prot4
+| **Description**: The initial equatorial rotational period of star four (in days, internally this is star index 3). See also Prot1,2,3.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: inclination1
+| **Description**: The initial inclination of star one (in degrees).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: inclination2
+| **Description**: The initial inclination of star two (in degrees).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: inclination3
+| **Description**: The initial inclination of star three (in degrees).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: inclination4
+| **Description**: The initial inclination of star four (in degrees).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: B_1
+| **Description**: The initial magnetic field of star one (in Gauss, internally this is star index 0).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: B_2
+| **Description**: The initial magnetic field of star two (in Gauss, internally this is star index 1).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: B_3
+| **Description**: The initial magnetic field of star three (in Gauss, internally this is star index 2).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: B_4
+| **Description**: The initial magnetic field of star four (in Gauss, internally this is star index 3).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: B_inclination1
+| **Description**: The initial inclination of the magnetic field of star one (in degrees).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: B_inclination2
+| **Description**: The initial inclination of the magnetic field of star two (in degrees).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: B_inclination3
+| **Description**: The initial inclination of the magnetic field of star three (in degrees).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: B_inclination4
+| **Description**: The initial inclination of the magnetic field of star four (in degrees).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: stellar_type_1
+| **Description**: Set the stellar type of star 1 (internal index 0), usually MAIN_SEQUENCE (main sequence). Note that setting the stellar type only works for stars with both age=0 and core_mass=0, i.e. main sequence (hydrogen or helium), white dwarfs, black holes and neutrn stars.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15', 'LOW_MASS_MAIN_SEQUENCE = 0', 'MAIN_SEQUENCE = 1', 'HERTZSPRUNG_GAP = 2', 'FIRST_GIANT_BRANCH = 3', 'CORE_HELIUM_BURNING = 4', 'EARLY_ASYMPTOTIC_GIANT_BRANCH = 5', 'THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6', 'NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7', 'NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8', 'NAKED_HELIUM_STAR_GIANT_BRANCH = 9', 'HELIUM_WHITE_DWARF = 10', 'CARBON_OXYGEN_WHITE_DWARF = 11', 'OXYGEN_NEON_WHITE_DWARF = 12', 'NEUTRON_STAR = 13', 'BLACK_HOLE = 14', 'STAR_WITH_NO_MASS = 15']
+
+| **Parameter**: stellar_type_2
+| **Description**: Set the stellar type of star 2 (internal index 1), usually MAIN_SEQUENCE (main sequence). Note that setting the stellar type only works for stars with both age=0 and core_mass=0, i.e. main sequence (hydrogen or helium), white dwarfs, black holes and neutrn stars.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15', 'LOW_MASS_MAIN_SEQUENCE = 0', 'MAIN_SEQUENCE = 1', 'HERTZSPRUNG_GAP = 2', 'FIRST_GIANT_BRANCH = 3', 'CORE_HELIUM_BURNING = 4', 'EARLY_ASYMPTOTIC_GIANT_BRANCH = 5', 'THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6', 'NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7', 'NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8', 'NAKED_HELIUM_STAR_GIANT_BRANCH = 9', 'HELIUM_WHITE_DWARF = 10', 'CARBON_OXYGEN_WHITE_DWARF = 11', 'OXYGEN_NEON_WHITE_DWARF = 12', 'NEUTRON_STAR = 13', 'BLACK_HOLE = 14', 'STAR_WITH_NO_MASS = 15']
+
+| **Parameter**: stellar_type_3
+| **Description**: Set the stellar type of star 3 (internal index 2), usually MAIN_SEQUENCE (main sequence). Note that setting the stellar type only works for stars with both age=0 and core_mass=0, i.e. main sequence (hydrogen or helium), white dwarfs, black holes and neutrn stars.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15', 'LOW_MASS_MAIN_SEQUENCE = 0', 'MAIN_SEQUENCE = 1', 'HERTZSPRUNG_GAP = 2', 'FIRST_GIANT_BRANCH = 3', 'CORE_HELIUM_BURNING = 4', 'EARLY_ASYMPTOTIC_GIANT_BRANCH = 5', 'THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6', 'NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7', 'NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8', 'NAKED_HELIUM_STAR_GIANT_BRANCH = 9', 'HELIUM_WHITE_DWARF = 10', 'CARBON_OXYGEN_WHITE_DWARF = 11', 'OXYGEN_NEON_WHITE_DWARF = 12', 'NEUTRON_STAR = 13', 'BLACK_HOLE = 14', 'STAR_WITH_NO_MASS = 15']
+
+| **Parameter**: stellar_type_4
+| **Description**: Set the stellar type of star 4 (internal index 3), usually MAIN_SEQUENCE (main sequence). Note that setting the stellar type only works for stars with both age=0 and core_mass=0, i.e. main sequence (hydrogen or helium), white dwarfs, black holes and neutrn stars.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15', 'LOW_MASS_MAIN_SEQUENCE = 0', 'MAIN_SEQUENCE = 1', 'HERTZSPRUNG_GAP = 2', 'FIRST_GIANT_BRANCH = 3', 'CORE_HELIUM_BURNING = 4', 'EARLY_ASYMPTOTIC_GIANT_BRANCH = 5', 'THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6', 'NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7', 'NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8', 'NAKED_HELIUM_STAR_GIANT_BRANCH = 9', 'HELIUM_WHITE_DWARF = 10', 'CARBON_OXYGEN_WHITE_DWARF = 11', 'OXYGEN_NEON_WHITE_DWARF = 12', 'NEUTRON_STAR = 13', 'BLACK_HOLE = 14', 'STAR_WITH_NO_MASS = 15']
+
+| **Parameter**: max_stellar_type_1
+| **Description**: The maximum stellar type of star 1 (internal index 0). Evolution is stopped when the star reaches this stellar type. If this is negative, massless remnants are allowed, and the maximum stellar type is the absolute value.
+| **Parameter input type**: Integer
+| **Default value**: 16
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15', 'LOW_MASS_MAIN_SEQUENCE = 0', 'MAIN_SEQUENCE = 1', 'HERTZSPRUNG_GAP = 2', 'FIRST_GIANT_BRANCH = 3', 'CORE_HELIUM_BURNING = 4', 'EARLY_ASYMPTOTIC_GIANT_BRANCH = 5', 'THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6', 'NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7', 'NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8', 'NAKED_HELIUM_STAR_GIANT_BRANCH = 9', 'HELIUM_WHITE_DWARF = 10', 'CARBON_OXYGEN_WHITE_DWARF = 11', 'OXYGEN_NEON_WHITE_DWARF = 12', 'NEUTRON_STAR = 13', 'BLACK_HOLE = 14', 'STAR_WITH_NO_MASS = 15']
+
+| **Parameter**: max_stellar_type_2
+| **Description**: The maximum stellar type of star 2 (internal index 1). Evolution is stopped when the star reaches this stellar type. If this is negative, massless remnants are allowed, and the maximum stellar type is the absolute value.
+| **Parameter input type**: Integer
+| **Default value**: 16
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15', 'LOW_MASS_MAIN_SEQUENCE = 0', 'MAIN_SEQUENCE = 1', 'HERTZSPRUNG_GAP = 2', 'FIRST_GIANT_BRANCH = 3', 'CORE_HELIUM_BURNING = 4', 'EARLY_ASYMPTOTIC_GIANT_BRANCH = 5', 'THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6', 'NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7', 'NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8', 'NAKED_HELIUM_STAR_GIANT_BRANCH = 9', 'HELIUM_WHITE_DWARF = 10', 'CARBON_OXYGEN_WHITE_DWARF = 11', 'OXYGEN_NEON_WHITE_DWARF = 12', 'NEUTRON_STAR = 13', 'BLACK_HOLE = 14', 'STAR_WITH_NO_MASS = 15']
+
+| **Parameter**: max_stellar_type_3
+| **Description**: The maximum stellar type of star 3 (internal index 2). Evolution is stopped when the star reaches this stellar type. If this is negative, massless remnants are allowed, and the maximum stellar type is the absolute value.
+| **Parameter input type**: Integer
+| **Default value**: 16
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15', 'LOW_MASS_MAIN_SEQUENCE = 0', 'MAIN_SEQUENCE = 1', 'HERTZSPRUNG_GAP = 2', 'FIRST_GIANT_BRANCH = 3', 'CORE_HELIUM_BURNING = 4', 'EARLY_ASYMPTOTIC_GIANT_BRANCH = 5', 'THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6', 'NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7', 'NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8', 'NAKED_HELIUM_STAR_GIANT_BRANCH = 9', 'HELIUM_WHITE_DWARF = 10', 'CARBON_OXYGEN_WHITE_DWARF = 11', 'OXYGEN_NEON_WHITE_DWARF = 12', 'NEUTRON_STAR = 13', 'BLACK_HOLE = 14', 'STAR_WITH_NO_MASS = 15']
+
+| **Parameter**: max_stellar_type_4
+| **Description**: The maximum stellar type of star 4 (internal index 3). Evolution is stopped when the star reaches this stellar type. If this is negative, massless remnants are allowed, and the maximum stellar type is the absolute value.
+| **Parameter input type**: Integer
+| **Default value**: 16
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15', 'LOW_MASS_MAIN_SEQUENCE = 0', 'MAIN_SEQUENCE = 1', 'HERTZSPRUNG_GAP = 2', 'FIRST_GIANT_BRANCH = 3', 'CORE_HELIUM_BURNING = 4', 'EARLY_ASYMPTOTIC_GIANT_BRANCH = 5', 'THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6', 'NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7', 'NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8', 'NAKED_HELIUM_STAR_GIANT_BRANCH = 9', 'HELIUM_WHITE_DWARF = 10', 'CARBON_OXYGEN_WHITE_DWARF = 11', 'OXYGEN_NEON_WHITE_DWARF = 12', 'NEUTRON_STAR = 13', 'BLACK_HOLE = 14', 'STAR_WITH_NO_MASS = 15']
+
+| **Parameter**: probability
+| **Description**: The probability is a weighting applied to the star based on, say, the initial mass function. When running a grid of stars to simulate *all* stars, the summed probability of all the stars should be 1.0.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: phasevol
+| **Description**: The system's phase volume, used by binary_grid.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: stellar_structure_algorithm
+| **Description**: Set the stellar structure algorithm. 0=modified BSE (default), 1=none, 2=external function (must be defined by the calling code), 3=binary_c (not yet implemented).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['STELLAR_STRUCTURE_ALGORITHM_MODIFIED_BSE = 0', 'STELLAR_STRUCTURE_ALGORITHM_NONE = 1', 'STELLAR_STRUCTURE_ALGORITHM_EXTERNAL_FUNCTION = 2', 'STELLAR_STRUCTURE_ALGORITHM_MINT = 3']
+
+| **Parameter**: solver
+| **Description**: The type of solver. Default is the Forward-Euler (0), but could be RK2 (1), RK4 (2) or a predictor-corretor (3).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['SOLVER_FORWARD_EULER = 0', 'SOLVER_RK2 = 1', 'SOLVER_RK4 = 2', 'SOLVER_PREDICTOR_CORRECTOR = 3']
+
+| **Parameter**: max_evolution_time
+| **Description**: Set the maximum age for the stars (Myr).
+| **Parameter input type**: Float
+| **Default value**: 15000
+
+| **Parameter**: max_model_number
+| **Description**: Set the maximum number of models, ignored if 0 (default is 0).
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: monte_carlo_kicks
+| **Description**: Turn on Monte-Carlo SN kicks. On (True) by default, and indeed other algorithms are probably broken.
+| **Parameter input type**: True|False
+| **Default value**: True
+
+| **Parameter**: disable_debug
+| **Description**: Disables debug output. Only has an effect when DEBUG is 1, which probably requires a rebuild. Default FALSE.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: timestep_logging
+| **Description**: Turn on timestep logging (default is False).
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: rejects_in_log
+| **Description**: Show timestep rejections in the main log (default is False).
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: vandenHeuvel_logging
+| **Description**: Turn on van den Heuvel logging (default is False).
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: evolution_splitting
+| **Description**: If True, turn on splitting of an evolutionary run if splitpoint (e.g. supernova) occurs.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: disable_events
+| **Description**: Whether to disable the new events code (defaults to False, so we use events by default)
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: evolution_splitting_sn_eccentricity_threshold
+| **Description**: Threshold eccentricity above which evolution splitting happens in a system with no SN kick. (0.01)
+| **Parameter input type**: Float
+| **Default value**: 0.01
+
+| **Parameter**: evolution_splitting_sn_n
+| **Description**: Number of runs to split into when a SN occurs.
+| **Parameter input type**: Integer
+| **Default value**: 10
+
+| **Parameter**: evolution_splitting_maxdepth
+| **Description**: Max number of splits in an evolutionary run.
+| **Parameter input type**: Integer
+| **Default value**: 2
+
+| **Parameter**: equation_of_state_algorithm
+| **Description**: Set the equation of state algorithm. 0 = Paczynski.
+| **Parameter input type**: Integer
+| **Default value**: NULL
+| **Macros**: ['EQUATION_OF_STATE_PACZYNSKI = 0']
+
+| **Parameter**: opacity_algorithm
+| **Description**: Set the opacity algorithm. 0 = Paczynski, 1 = Ferguson/Opal.
+| **Parameter input type**: Integer
+| **Default value**: NULL
+| **Macros**: ['OPACITY_ALGORITHM_PACZYNSKI = 0', 'OPACITY_ALGORITHM_FERGUSON_OPAL = 1', 'OPACITY_ALGORITHM_STARS = 2']
+
+| **Parameter**: wind_mass_loss
+| **Description**: Defines the algorithm used for stellar winds. 0 = none, 1 = Hurley et al. (2002), 2 = Schneider (2018).
+| **Parameter input type**: Unsigned integer
+| **Default value**: 3
+| **Macros**: ['WIND_ALGORITHM_NONE = 0', 'WIND_ALGORITHM_HURLEY2002 = 1', 'WIND_ALGORITHM_SCHNEIDER2018 = 2', 'WIND_ALGORITHM_BINARY_C_2020 = 3']
+| **Extra**: 0
+
+| **Parameter**: gbwind
+| **Description**: Wind prescription for first red giant branch stars. 0=Reimers (Hurley et al 2000/2002; choose gb_reimers_eta=0.5 for their mass loss rate), 1=Schroeder+Cuntz 2005 (set gb_reimers_eta=1.0 for their mass loss rate).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['GB_WIND_REIMERS = 0', 'GB_WIND_SCHROEDER_CUNTZ_2005 = 1', 'GB_WIND_GOLDMAN_ETAL_2017 = 2', 'GB_WIND_BEASOR_ETAL_2020 = 3']
+
+| **Parameter**: mattsson_Orich_tpagbwind
+| **Description**: Experimental: turns on Mattsson's TPAGB wind when the star is oxygen rich. Requires MATTSSON_MASS_LOSS.
+| **Parameter input type**: Integer
+| **Default value**: NULL
+
+| **Parameter**: magnetic_braking_factor
+| **Description**: Multiplier for the magnetic braking angular momentum loss rate.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: magnetic_braking_gamma
+| **Description**: gamma factor in Rappaport style magnetic braking expression.
+| **Parameter input type**: Float
+| **Default value**: 3
+
+| **Parameter**: magnetic_braking_algorithm
+| **Description**: Algorithm for the magnetic braking angular momentum loss rate. 0 = Hurley et al. 2002, 1 = Andronov, Pinnsonneault and Sills 2003, 2 = Barnes and Kim 2010
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['MAGNETIC_BRAKING_ALGORITHM_HURLEY_2002 = 0', 'MAGNETIC_BRAKING_ALGORITHM_ANDRONOV_2003 = 1', 'MAGNETIC_BRAKING_ALGORITHM_BARNES_2010 = 2', 'MAGNETIC_BRAKING_ALGORITHM_RAPPAPORT_1983 = 3']
+
+| **Parameter**: helium_flash_mass_loss
+| **Description**: Mass to be lost at the helium flash.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: gb_reimers_eta
+| **Description**: First red giant branch wind multiplication factor, cf. eta in Reimers' mass loss formula. (This multiplies the 4e-13 in Reimers' formula, or the 8e-14 in Schroeder and Cuntz.)
+| **Parameter input type**: Float
+| **Default value**: 0.4
+
+| **Parameter**: gbwindfac
+| **Description**: Multiplier for the giant branch wind mass loss rate
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: tpagbwindfac
+| **Description**: Multiplier for the TPAGB wind mass loss rate
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: eagbwindfac
+| **Description**: Multiplier for the EAGB wind mass loss rate
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: nieuwenhuijzen_windfac
+| **Description**: Multiplier for the Nieuwenhuijzen & de Jager wind mass loss rate
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: tpagbwind
+| **Description**: Wind prescription during the TPAGB. 0=Karakas 2002 (a modified Vassiliadis and Wood 1993), 1=Hurley et al 2000/2002 (Vassiliadis and Wood 1993), 2=Reimers, 3=Bloecker, 4=Van Loon, 5=Rob's C-wind (broken?), 6,7=Vassiliadis and Wood 1993 (Karakas,Hurley variants respectively) when C/O>1, 8=Mattsson, 9 = Goldman et al. (2017), 10 = Beasor et al. (2020).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['TPAGB_WIND_VW93_KARAKAS = 0', 'TPAGB_WIND_VW93_ORIG = 1', 'TPAGB_WIND_REIMERS = 2', 'TPAGB_WIND_BLOECKER = 3', 'TPAGB_WIND_VAN_LOON = 4', 'TPAGB_WIND_ROB_CWIND = 5', 'TPAGB_WIND_VW93_KARAKAS_CARBON_STARS = 6', 'TPAGB_WIND_VW93_ORIG_CARBON_STARS = 7', 'TPAGB_WIND_MATTSSON = 8', 'TPAGB_WIND_GOLDMAN_ETAL_2017 = 9', 'TPAGB_WIND_BEASOR_ETAL_2020 = 10']
+
+| **Parameter**: eagbwind
+| **Description**: Wind prescription during the EAGB. 0=BSE (Hurley+2002, based on VW93), 1 = Goldman et al. (2017), 2 = Beasor et al. (2020).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['EAGB_WIND_BSE = 0', 'EAGB_WIND_GOLDMAN_ETAL_2017 = 1', 'EAGB_WIND_BEASOR_ETAL_2020 = 2']
+
+| **Parameter**: wind_gas_to_dust_ratio
+| **Description**: Gas to dust ratio used in wind calculations (e.g. Goldman et al. 2017). Typically 200 (Milky Way)-500 (Magellanic Clouds). Default is 200, approximately as in MW stars.
+| **Parameter input type**: Float
+| **Default value**: 200
+
+| **Parameter**: vwind_multiplier
+| **Description**: Multiplier for the stellar wind velocity.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: vwind_beta
+| **Description**: Beta for stellar wind speed calculations, where vwind=sqrt(beta) * escape velocity. Default 0.125 (from BSE, Hurley et al. 2002).
+| **Parameter input type**: Float
+| **Default value**: 0.125
+
+| **Parameter**: superwind_mira_switchon
+| **Description**: In the Vassiliadis and Wood (1993) AGB wind prescription, the superwind is turned on at a given Mira period, usually 500 days. You can vary when this switch-on happens with this parameter.
+| **Parameter input type**: Float
+| **Default value**: 500
+
+| **Parameter**: vw93_mira_shift
+| **Description**: In the Vassiliadis and Wood (1993) AGB wind prescription, the wind loss rate depends on the Mira period plus this offset. Requires VW93_MIRA_SHIFT.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: vw93_multiplier
+| **Description**: In the Vassiliadis and Wood (1993) AGB wind prescription, the wind loss rate is multiplied by this factor. Requires VW93_MULTIPLIER.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: tpagb_reimers_eta
+| **Description**: TPAGB Reimers wind multiplication factor, cf. eta in Reimers' mass loss formula. (This multiplies the 4e-13 in Reimers' formula, or the 8e-14 in Schroeder and Cuntz.) Note that Reimers is not the default TPAGB wind prescription. See also tpagbwind.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: artificial_mass_accretion_rate%d
+| **Description**: Constant mass accretion rate for star <n>.
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: artificial_angular_momentum_accretion_rate%d
+| **Description**: Constant angular momentum accretion for star <n>.
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: artificial_orbital_angular_momentum_accretion_rate
+| **Description**: Constant angular momentum accretion rate on the orbit.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: artificial_accretion_start_time
+| **Description**: Time at which artificial accretion stars. Ignored if <0 (default is -1).
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['ARTIFICIAL_ACCRETION_IGNORE = -1']
+
+| **Parameter**: artificial_accretion_end_time
+| **Description**: Time at which artificial accretion ends. Ignored if <0 (default is -1).
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['ARTIFICIAL_ACCRETION_IGNORE = -1']
+
+| **Parameter**: wr_wind
+| **Description**: Massive-star (WR) wind prescription. 0 = Hurley et al 2000/2002, 1=Maeder and Meynet, 2=Nugis and Lamers, 3=John Eldridge's version of Vink's early-2000s wind (See Lynnette Dray's thesis, or John Eldridge's thesis)
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['WR_WIND_BSE = 0', 'WR_WIND_MAEDER_MEYNET = 1', 'WR_WIND_NUGIS_LAMERS = 2', 'WR_WIND_ELDRIDGE = 3']
+
+| **Parameter**: wr_wind_fac
+| **Description**: Massive-star (WR) wind multiplication factor.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: wrwindfac
+| **Description**: Massive-star (WR) wind multiplication factor. Synonymous with wr_wind_fac (which you should use instead).
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: BH_prescription
+| **Description**: Black hole mass prescrition: relates the mass of a newly formed black hole to its progenitor's (CO) core mass. 0=Hurley et al 2000/2002, 1=Belczynski (early 2000s).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['BH_HURLEY2002 = 0', 'BH_BELCZYNSKI = 1', 'BH_SPERA2015 = 2', 'BH_FRYER12_DELAYED = 3', 'BH_FRYER12_RAPID = 4']
+
+| **Parameter**: PPISN_prescription
+| **Description**: (Pulsational) Pair-Instability Supernova prescription: Relates initial helium core mass of star to whether the star undergoes PPISN or PISN. Requires PPISN flag to be True (see binary_c_parameters.h). 0=no ppisn, 1=Farmer et al 2019.
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['PPISN_NONE = 0', 'PPISN_FARMER19 = 1']
+| **Extra**: Ignore
+
+| **Parameter**: sn_kick_distribution_II
+| **Description**: Set the distribution of speeds applied to kick type II core collapse supernova systems. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_ECAP
+| **Description**: Set the distribution of speeds applied to the remnants of electron-capture supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_NS_NS
+| **Description**: Set the distribution of speeds applied to kick neutron stars and black holes that survive a NS-NS merger. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_IBC
+| **Description**: Set the distribution of speeds applied to kick newly-born neutron stars and black holes after a type Ib/c core-collapse supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_GRB_COLLAPSAR
+| **Description**: Set the distribution of speeds applied to kick newly-born neutron stars and black holes after a type Ib/c core-collapse supernova which is also a collapsar. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_TZ
+| **Description**: Set the distribution of speeds applied to kick newly-born neutron stars and black holes at the death of a Thorne-Zytkow object. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_AIC_BH
+| **Description**: Set the distribution of speeds applied to kick newly-born neutron stars black holes after accretion induced collapse of a neutron star. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_BH_BH
+| **Description**: Set the distribution of speeds applied to black holes formed by the merger of two black holes. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_BH_NS
+| **Description**: Set the distribution of speeds applied to black holes formed by the merger of a neutron star and a black holes. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_IA_Hybrid_HeCOWD
+| **Description**: Set the distribution of speeds applied to any survivor of a hybrid He-COWD SNIa explosion. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_IA_Hybrid_HeCOWD_subluminous
+| **Description**: Set the distribution of speeds applied to any survivor of a subluminous hybrid He-COWD SNIa explosion. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_PPISN
+| **Description**: Set the distribution of speeds applied to PPISN supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_PISN
+| **Description**: Set the distribution of speeds applied to PISN supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_distribution_PHDIS
+| **Description**: Set the distribution of speeds applied to PHDIS supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_VELOCITY_FIXED = 0', 'KICK_VELOCITY_MAXWELLIAN = 1', 'KICK_VELOCITY_CUSTOM = 2']
+
+| **Parameter**: sn_kick_dispersion_II
+| **Description**: Set the dispersion of speeds applied to kick type II core collapse supernova systems. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 190
+
+| **Parameter**: sn_kick_dispersion_ECAP
+| **Description**: Set the dispersion of speeds applied to the remnants of electron-capture supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_NS_NS
+| **Description**: Set the dispersion of speeds applied to kick neutron stars and black holes that survive a NS-NS merger. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_IBC
+| **Description**: Set the dispersion of speeds applied to kick newly-born neutron stars and black holes after a type Ib/c core-collapse supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 190
+
+| **Parameter**: sn_kick_dispersion_GRB_COLLAPSAR
+| **Description**: Set the dispersion of speeds applied to kick newly-born neutron stars and black holes after a type Ib/c core-collapse supernova which is also a collapsar. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_TZ
+| **Description**: Set the dispersion of speeds applied to kick newly-born neutron stars and black holes at the death of a Thorne-Zytkow object. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_AIC_BH
+| **Description**: Set the dispersion of speeds applied to kick newly-born neutron stars black holes after accretion induced collapse of a neutron star. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_BH_BH
+| **Description**: Set the dispersion of speeds applied to black holes formed by the merger of two black holes. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_BH_NS
+| **Description**: Set the dispersion of speeds applied to black holes formed by the merger of a neutron star and a black holes. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_IA_Hybrid_HeCOWD
+| **Description**: Set the dispersion of speeds applied to the survivor of a SNIa explosion of a hybrid He-COWD. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_IA_Hybrid_HeCOWD_subluminous
+| **Description**: Set the dispersion of speeds applied to the survivor of a subluminous SNIa explosion of a hybrid He-COWD. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_PPISN
+| **Description**: Set the dispersion of speeds applied to the survivor of a PPISN supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 190
+
+| **Parameter**: sn_kick_dispersion_PISN
+| **Description**: Set the dispersion of speeds applied to the survivor of a PISN supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_dispersion_PHDIS
+| **Description**: Set the dispersion of speeds applied to the survivor of a PHDIS supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: sn_kick_companion_IA_He
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia He supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_IA_ELD
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia ELD (sub-Mch) supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_IA_CHAND
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia Mch supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_AIC
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when an accretion induced collapse (supernova) occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_ECAP
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when an electron capture supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_IA_He_Coal
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia helium merger supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_IA_CHAND_Coal
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia Mch merger supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_NS_NS
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a neutron-star neutron-star merger. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_GRB_COLLAPSAR
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a GRB Collapsar (rapidly rotating SN Ibc) supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_HeStarIa
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a He-star Ia supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_IBC
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a type Ib/c supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_II
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a type II supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_IIa
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a type IIa supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_WDKICK
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a WD is kicked. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_TZ
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Thorne-Zytkow object is formed. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_AIC_BH
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a neutron star collapses to a black hole. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_BH_BH
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when two black holes merge. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_BH_NS
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a black hole merges with a neutron star. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_IA_Hybrid_HeCOWD
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a hybrid He-COWD type Ia explosion. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_IA_Hybrid_HeCOWD_subluminous
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a subluminous hybrid He-COWD type Ia explosion. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_PPISN
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a PPISN supernova. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_PISN
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a PISN supernova. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: sn_kick_companion_PHDIS
+| **Description**: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a PHDIS supernova. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['SN_IMPULSE_NONE = 0', 'SN_IMPULSE_LIU2015 = 1', 'SN_IMPULSE_WHEELER1975 = 2']
+
+| **Parameter**: wd_sigma
+| **Description**: Set the speed at which white dwarfs are kicked when they form, in km/s. Default is zero (i.e. no kick). Requires WD_KICKS.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: wd_kick_direction
+| **Description**: Set the direction of white dwarf kicks. 0 = random, 1 = up, 2 = forward, 3 = backward, 4 = inward, 5 = outward. Requires WD_KICKS.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['KICK_RANDOM = 0', 'KICK_STRAIGHT_UP = 1', 'KICK_FORWARD = 2', 'KICK_BACKWARD = 3', 'KICK_INWARD = 4', 'KICK_OUTWARD = 5']
+
+| **Parameter**: wd_kick_when
+| **Description**: Decide when to kick a white dwarf. 0=at birth, 1=at first RLOF, 2=at given pulse number (see wd_kick_pulse_number), 3 at every pulse Requires WD_KICKS.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['WD_KICK_END_AGB = 0', 'WD_KICK_FIRST_RLOF = 1', 'WD_KICK_AT_GIVEN_PULSE = 2', 'WD_KICK_AT_EVERY_PULSE = 3']
+
+| **Parameter**: wd_kick_pulse_number
+| **Description**: Apply a kick to a star at a desired pulse number on the TPAGB (i.e. pre-WD). Requires WD_KICKS.
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: minimum_helium_ignition_core_mass
+| **Description**: Minimum helium core mass required to ignite helium in the case that the hydrogen envelope is stripped on the giant branch, e.g. to make an sdB or sdO star. Typically 0.4, if 0.0 then the BSE algorithm (based on the total mass) is used.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: minimum_CO_core_mass_for_carbon_ignition
+| **Description**: Minimum CO core mass for carbon ignition, assuming Mc,bagb>1.6Msun. Typically around 1.08Msun (Pols+1998).
+| **Parameter input type**: Float
+| **Default value**: 1.08
+
+| **Parameter**: minimum_CO_core_mass_for_neon_ignition
+| **Description**: Minimum CO core mass for neon ignition. Typically around 1.42Msun. Stars that have cores that ignite carbon, but not neon explode in electon-capture supernovae.
+| **Parameter input type**: Float
+| **Default value**: 1.42
+
+| **Parameter**: minimum_mcbagb_for_nondegenerate_carbon_ignition
+| **Description**: Minimum Mc,bagb (core mass at the base of the AGB) for non-degenerate carbon ignition. Typically around 2.25Msun (Pols+1998).
+| **Parameter input type**: Float
+| **Default value**: 2.25
+
+| **Parameter**: maximum_mcbagb_for_degenerate_carbon_ignition
+| **Description**: Maximum Mc,bagb (core mass at the base of the AGB) for degenerate carbon ignition. Typically around 1.6Msun (Pols+1998).
+| **Parameter input type**: Float
+| **Default value**: 1.6
+
+| **Parameter**: max_neutron_star_mass
+| **Description**: Maximum mass of a neutron star before it collapses to a black hole. Typically around 2Msun.
+| **Parameter input type**: Float
+| **Default value**: 2.2
+
+| **Parameter**: chandrasekhar_mass
+| **Description**: The Chandrasekhar mass, usually 1.44Msun
+| **Parameter input type**: Float
+| **Default value**: 1.38
+
+| **Parameter**: delta_mcmin
+| **Description**: A parameter to reduce the minimum core mass for third dredge up to occur on the TPAGB. As used by Izzard and Tout (2004) to increase the amount of dredge up, hence carbon, in Magellanic cloud stars.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: lambda_min
+| **Description**: A parameter to increase the efficiency of third dredge up on the TPAGB. The efficiency is lambda * lambda_mult, and setting lambda_min>0 implies that, once Mc>Mcmin (see delta_mcmin) lambda=Max(lambda(fit to Karakas), lambda_min). As used by Izzard and Tout (2004) to increase the amount of dredge up, hence carbon, in Magellanic cloud stars. See also lambda_multiplier.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: lambda_multiplier
+| **Description**: A parameter to increase the efficiency of third dredge up on the TPAGB. The efficiency is lambda * lambda_mult, and setting lambda_min>0 implies that, once Mc>Mcmin (see delta_mcmin) lambda=Max(lambda(fit to Karakas), lambda_min). As used by Izzard and Tout (2004) to increase the amount of dredge up, hence carbon, in Magellanic cloud stars.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: minimum_envelope_mass_for_third_dredgeup
+| **Description**: The minimum envelope mass for third dredge up on the TPAGB. Early, solar metallicity models by Straniero et al suggested 0.5Msun is typical. However, circumstantial evidence (Izzard et al 2009) as well as newer models by Stancliffe and Karakas suggest that at low metallicity a value nearer zero is more appropriate.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: mass_of_pmz
+| **Description**: The mass in the partial mixing zone of a TPAGB star, using the Karakas 2012 tables. Ask Carlo Abate for more details, or see the series of papers Abate et al 2012, 2013, 2014. Requires NUCSYN and USE_TABULAR_INTERSHELL_ABUNDANCES_KARAKAS_2012.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: c13_eff
+| **Description**: The "efficiency" of partial mixing in a TPAGB star intershell region, when using the s-process tables of Gallino, Busso, Lugaro et al. as provided by Maria Lugaro for the Izzard et al. 2009 paper. Requires NUCSYN and NUCSYN_S_PROCESS.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: mc13_pocket_multiplier
+| **Description**: Multiplies the mass in the partial mixing zone of a TPAGB star, when using the s-process tables of Gallino, Busso, Lugaro et al. as provided by Maria Lugaro for the Izzard et al. 2009 paper. Requires NUCSYN and NUCSYN_S_PROCESS.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: tides_convective_damping
+| **Description**: Tidal convective damping algorithm. 0=TIDES_HURLEY2002 Zahn 197x timescales + Hut, as in Hurley et al (2002), 1 = TIDES_ZAHN1989: Zahn 1989 lambdas + Hut.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['TIDES_HURLEY2002 = 0', 'TIDES_ZAHN1989 = 1']
+
+| **Parameter**: E2_prescription
+| **Description**: Choose how to calculate the E2 structural parameter (used in tidal timescale calculations). 0=Hurley 1=Izzard (see Siess et al 2013).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['E2_HURLEY_2002 = 0', 'E2_IZZARD = 1', 'E2_MINT = 2']
+
+| **Parameter**: dtfac
+| **Description**: A parameter to decrease the timestep ONLY during the TPAGB phase.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: hbbtfac
+| **Description**: A parameter to modulate the temperature at the base of the hot-bottom burning zone in TPAGB stars. (Works only if NUCSYN is defined)
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: wind_multiplier_%d
+| **Description**: Wind multiplier for the stellar type specified by the intger %d. By default these are all 1.0.
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: wind_type_multiplier_%d
+| **Description**: Wind multiplier for different types of wind (MS, GB, AGB, WR, LBV, OTHER), given by the integer %d. By default these are all 1.0.
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: pre_main_sequence
+| **Description**: Set to True to turn on pre-main sequence evolution. Currently this is not a special stellar type, rather the first (small) fraction of the main sequence has increased radii to match the Railton et al 2014 fits to Tout's pre-main sequence stars. Requires PRE_MAIN_SEQUENCE. See also pre_main_sequence_fit_lobes.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: pre_main_sequence_fit_lobes
+| **Description**: Set to True force a pre-main sequence star into its Roche lobe. This is done by artificially aging it. Requires PRE_MAIN_SEQUENCE
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: small_envelope_method
+| **Description**: Choose the method used to determine the stellar radius when the envelope mass is very thin. 0 = Hurley et al. (2002), 1 = Miller Bertolami et al. (2016+) for GB and AGB stars only.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['SMALL_ENVELOPE_METHOD_BSE = 0', 'SMALL_ENVELOPE_METHOD_MILLER_BERTOLAMI = 1']
+
+| **Parameter**: timestep_modulator
+| **Description**: Multiplier applied to the global timestep. Requires TIMESTEP_MODULATION.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: timestep_multiplier%d
+| **Description**: Multiplier applied to timestep limit <n>.
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: maximum_timestep
+| **Description**: The maximum timestep (MYr).
+| **Parameter input type**: Float
+| **Default value**: 1e+20
+
+| **Parameter**: zoomfac_multiplier_decrease
+| **Description**: When a timestep is rejected, decrease the timestep by this factor (0.5).
+| **Parameter input type**: Float
+| **Default value**: 0.5
+
+| **Parameter**: zoomfac_multiplier_increase
+| **Description**: When a timestep is rejected, zooms, then succeeds, increase the timestep by this factor (1.2).
+| **Parameter input type**: Float
+| **Default value**: 1.2
+
+| **Parameter**: maximum_timestep_factor
+| **Description**: The maximum factor between two subsequent timesteps (1.2).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: maximum_nuclear_burning_timestep
+| **Description**: The maximum timestep (MYr) in any nuclear burning phase.
+| **Parameter input type**: Float
+| **Default value**: 1e+20
+
+| **Parameter**: nova_retention_method
+| **Description**: Algorithm used to calculate the amount of mass retained during a nova explosion. 0=use nova_retention_fraction. (other methods pending)
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['NOVA_RETENTION_ALGORITHM_CONSTANT = 0', 'NOVA_RETENTION_ALGORITHM_CLAEYS2014 = 1', 'NOVA_RETENTION_ALGORITHM_HILLMAN2015 = 2']
+
+| **Parameter**: MINT_metallicity
+| **Description**: This sets the metallicity for MINT. It is ignored if set to -1.0, the default, in which case the normal metallicity parameter is used.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: gaia_Teff_binwidth
+| **Description**: log10(Effective temperature) bin width used to make Gaia-like HRDs
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: gaia_L_binwidth
+| **Description**: log10(luminosity) bin width used to make Gaia-like HRDs
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: gaia_colour_transform_method
+| **Description**: Use this to select the method used to transform to Gaia colours from other colour schemes. GAIA_CONVERSION_UBVRI_UNIVARIATE_JORDI2010 = 0 Jordi et al.'s univariate UBVRI fits, GAIA_CONVERSION_UBVRI_BIVARIATE_JORDI2010 = 1 Jordi et al.'s bivariate UBVRI fits, GAIA_CONVERSION_ugriz_UNIVARIATE_JORDI2010 = 2 Jordi et al.'s univariate UBVRI fits, GAIA_CONVERSION_ugriz_BIVARIATE_JORDI2010 = 3 Jordi et al.'s univariate ugriv fits, GAIA_CONVERSION_UBVRI_UNIVARIATE_EVANS2018 = 4 Evans et al. (2018, DR2) fits, GAIA_CONVERSION_ugriz_UNIVARIATE_EVANS2018 = 5 Evans et al. (2018, DR2) fits, GAIA_CONVERSION_UBVRI_RIELLO2020 = 6 Riello et al. (2020, DR3) fits, GAIA_CONVERSION_ugriz_RIELLO2020 = 7 Riello et al. (2020, DR3) fits.
+| **Parameter input type**: Integer
+| **Default value**: 4
+| **Macros**: ['GAIA_CONVERSION_UBVRI_UNIVARIATE_JORDI2010 = 0', 'GAIA_CONVERSION_UBVRI_BIVARIATE_JORDI2010 = 1', 'GAIA_CONVERSION_ugriz_UNIVARIATE_JORDI2010 = 2', 'GAIA_CONVERSION_ugriz_BIVARIATE_JORDI2010 = 3', 'GAIA_CONVERSION_UBVRI_UNIVARIATE_EVANS2018 = 4', 'GAIA_CONVERSION_ugriz_UNIVARIATE_EVANS2018 = 5', 'GAIA_CONVERSION_UBVRI_RIELLO2020 = 6', 'GAIA_CONVERSION_ugriz_RIELLO2020 = 7']
+
+| **Parameter**: rotationally_enhanced_mass_loss
+| **Description**: Set to 1 to enable rotationally enhanced mass loss rate algorithms: 0= none, 1=formula cf. Langer models (=ROTATIONALLY_ENHANCED_MASSLOSS_LANGER_FORMULA), 2=limit accretion rate before wind loss is applied, 3 = both 1 and 2. See also rotationally_enhanced_exponent
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['ROTATIONALLY_ENHANCED_MASSLOSS_NONE = 0', 'ROTATIONALLY_ENHANCED_MASSLOSS_LANGER_FORMULA = 1', 'ROTATIONALLY_ENHANCED_MASSLOSS_ANGMOM = 2', 'ROTATIONALLY_ENHANCED_MASSLOSS_LANGER_FORMULA_AND_ANGMOM = 3']
+
+| **Parameter**: AGB_core_algorithm
+| **Description**: Algorithm to use for calculating AGB core masses. 0=Hurley et al. 2002 if no NUCSYN, Karakas 2002 if NUCSYN is defined; 1=Hurley et al. 2002 (overshooting models); 1=Karakas 2002 (non-overshooting models).
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['AGB_CORE_ALGORITHM_DEFAULT = 0', 'AGB_CORE_ALGORITHM_HURLEY = 1', 'AGB_CORE_ALGORITHM_KARAKAS = 2']
+
+| **Parameter**: AGB_radius_algorithm
+| **Description**: Algorithm to use for calculating radii on the TPAGB.
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['AGB_RADIUS_ALGORITHM_DEFAULT = 0', 'AGB_RADIUS_ALGORITHM_HURLEY = 1', 'AGB_RADIUS_ALGORITHM_KARAKAS = 2']
+
+| **Parameter**: AGB_luminosity_algorithm
+| **Description**: Algorithm to use for calculating luminosities on the TPAGB.
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['AGB_LUMINOSITY_ALGORITHM_DEFAULT = 0', 'AGB_LUMINOSITY_ALGORITHM_HURLEY = 1', 'AGB_LUMINOSITY_ALGORITHM_KARAKAS = 2']
+
+| **Parameter**: AGB_3dup_algorithm
+| **Description**: Algorithm to use for calculating third dredge up efficiency on the TPAGB.
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['AGB_THIRD_DREDGE_UP_ALGORITHM_DEFAULT = 0', 'AGB_THIRD_DREDGE_UP_ALGORITHM_HURLEY = 1', 'AGB_THIRD_DREDGE_UP_ALGORITHM_KARAKAS = 2', 'AGB_THIRD_DREDGE_UP_ALGORITHM_STANCLIFFE = 3']
+
+| **Parameter**: overspin_algorithm
+| **Description**: Algorithm to determine what we do when a star is rotating at its breakup velocity. OVERSPIN_BSE (0) conservatively transfers the angular momentum back to the orbit. OVERSPIN_MASSLOSS uses the rotationally_enhanced_massloss parameter to lose mass which carries away the angular momentum.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['OVERSPIN_BSE = 0', 'OVERSPIN_MASSLOSS = 1']
+
+| **Parameter**: rotationally_enhanced_exponent
+| **Description**: The exponent (power) by which rotationally enhanced mass loss is raised. Requires ROTATIONALLY_ENHANCED_MASS_LOSS. See also rotationally_enhanced_mass_loss.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: batchmode
+| **Description**: Set the batchmode control variable. Use only if you know what you are doing!
+| **Parameter input type**: Integer
+| **Default value**: 3
+
+| **Parameter**: speedtests
+| **Description**: If True, turns on speedtests during version information (off by default).
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: use_fixed_timestep_%d
+| **Description**: Set to True to use fixed timestep <n>, False to turn off. Fixed timesteps are on (this is True) by default.
+| **Parameter input type**: Boolean(scanf)
+| **Default value**: NULL
+
+| **Parameter**: task%d
+| **Description**: Control tasks to be performed by binary_c. By default, these are all TRUE. For more information see binary_c_macros.h, particularly the BINARY_C_TASK_* macros.
+| **Parameter input type**: Boolean(scanf)
+| **Default value**: NULL
+
+| **Parameter**: orbiting_object
+| **Description**: Usage: --orbiting_object mass,spinrate,central_object,period.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: 1.0
+
+| **Parameter**: orbiting_objects_log
+| **Description**: If True, turn on orbiting-object log.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: orbiting_objects_wind_accretion_multiplier
+| **Description**: Multiplier for wind accretion on orbiting objects. Hurley et al 2002 use 1.5, which is the default.
+| **Parameter input type**: Float
+| **Default value**: 1.5
+
+| **Parameter**: orbiting_objects_close_pc_threshold
+| **Description**: How close are orbiting objects allowed to be? Set this to be the absolute percentage difference minimum.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: orbiting_objects_tides_multiplier
+| **Description**: Multiplier for tidal torques on orbiting objects.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: evaporate_escaped_orbiting_objects
+| **Description**: If True, evaporate orbiting objects that have escaped the system.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: RLOF_transition_objects_escape
+| **Description**: If True, objects that escape their Roche lobe are ejected from the system, otherwise they are placed just outside the minimum stable orbit.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: PN_resolve
+| **Description**: If True, the timestep will be shortened to resolve better the PN phase (FALSE).
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: PN_resolve_minimum_luminosity
+| **Description**: The luminosity above which extra time resolution for PNe is applied (see PN_resolve).
+| **Parameter input type**: Float
+| **Default value**: 31.62
+
+| **Parameter**: PN_resolve_maximum_envelope_mass
+| **Description**: The envelope mass below which extra time resolution for PNe is applied (see PN_resolve).
+| **Parameter input type**: Float
+| **Default value**: 0.1
+
+| **Parameter**: PN_resolve_minimum_effective_temperature
+| **Description**: The minimum effective temperature above which extra time resolution for PNe is applied (see PN_resolve).
+| **Parameter input type**: Float
+| **Default value**: 12500
+
+| **Parameter**: PN_fast_wind
+| **Description**: If True, thin-envelope PNe will have fast winds (FALSE).
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: PN_fast_wind_dm_GB
+| **Description**: The envelope mass below which fast wind used during the GB if PN_fast_wind is TRUE. (See also PN_fast_wind, PN_fast_wind_mdot_GB)
+| **Parameter input type**: Float
+| **Default value**: 0.01
+
+| **Parameter**: PN_fast_wind_mdot_GB
+| **Description**: The envelope mass below which fast wind used during the GB if PN_fast_wind is TRUE. (See also PN_fast_wind, PN_fast_wind_mdot_GB)
+| **Parameter input type**: Float
+| **Default value**: 1e-06
+
+| **Parameter**: PN_fast_wind_dm_AGB
+| **Description**: The envelope mass below which fast wind used during the AGB if PN_fast_wind is TRUE. (See also PN_fast_wind, PN_fast_wind_mdot_AGB)
+| **Parameter input type**: Float
+| **Default value**: 0.001
+
+| **Parameter**: PN_fast_wind_mdot_AGB
+| **Description**: The envelope mass below which fast wind used during the GB if PN_fast_wind is TRUE. (See also PN_fast_wind, PN_fast_wind_mdot_AGB)
+| **Parameter input type**: Float
+| **Default value**: 1e-06
+
+| **Parameter**: HeWD_HeWD_ignition_mass
+| **Description**: HeWD-HeWD mergers above this mass reignite helium. (0.3)
+| **Parameter input type**: Float
+| **Default value**: 0.3
+
+| **Parameter**: wind_Nieuwenhuijzen_luminosity_lower_limit
+| **Description**: Above this luminosity we activate the Nieuwenhuijzen and de Jager wind (4e3 Lsun).
+| **Parameter input type**: Float
+| **Default value**: 4000
+
+| **Parameter**: wind_LBV_luminosity_lower_limit
+| **Description**: Above this luminosity we activate the LBV wind (6e5 Lsun).
+| **Parameter input type**: Float
+| **Default value**: 600000
+
+Section: binary
+---------------
+
+| **Parameter**: separation
+| **Description**: Set the orbital separation (actually the semi-major axis) of the binary (internal index 0, stellar indices 0 and 1) in solar radii. Note that if the orbital period is given, it is used to calculate the separation. So if you want to set the separation instead, either do not set the orbital period or set the orbital period to zero (0.0).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: separation_triple
+| **Description**: Set the orbital separation (actually the semi-major axis) of the triple (internal index 1) in solar radii. Note that if the orbital period is given, it is used to calculate the separation. So if you want to set the separation instead, either do not set the orbital period or set the orbital period to zero (0.0).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: separation_quadruple
+| **Description**: Set the orbital separation (actually the semi-major axis) of the quadruple (internal index 2) in solar radii. Note that if the orbital period is given, it is used to calculate the separation. So if you want to set the separation instead, either do not set the orbital period or set the orbital period to zero (0.0).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: orbital_period
+| **Description**: Set the initial orbital period of the binary, stars 1 and 2 (internal indices 0 and 1) in days. See also separation.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: orbital_period_triple
+| **Description**: Set the initial orbital period of the triple in days. See also separation.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: orbital_period_quadruple
+| **Description**: Set the orbital period of the outer binary in a quadrulple (stars 3 and 4, internal indices 2 and 3) in days. See also separation.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: eccentricity
+| **Description**: Set the initial eccentricity of the binary orbit (stars 1 and 2, internal indices 0 and 1).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: eccentricity_triple
+| **Description**: Set the initial eccentricity of the triple orbit.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: eccentricity_quadruple
+| **Description**: Set the initial eccentricity of the outer binary of a quadruple (stars 3 and 4, internal indices 2 and 3).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: incliniation
+| **Description**: Set the initial orbital_inclination of the binary relative to zero.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: incliniation_triple
+| **Description**: Set the initial orbital_inclination of the triple orbit relative to zero.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: incliniation_quadruple
+| **Description**: Set the initial orbital_inclinationy of the quadruple orbit relative to zero.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: orbital_phase
+| **Description**: Set the initial orbital phase of the binary orbit.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: orbital_phase_triple
+| **Description**: Set the initial orbital phase of the triple orbit.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: orbital_phase_quadruple
+| **Description**: Set the initial orbital phase of the quadruple orbit.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: argument_of_periastron
+| **Description**: Set the initial argument of periastron of the binary orbit.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: argument_of_periastron_triple
+| **Description**: Set the initial argument of periastron of the triple orbit.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: argument_of_periastron_quadruple
+| **Description**: Set the initial argument of periastron of the quadruple orbit.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: disc_timestep_factor
+| **Description**: Factor that multiplies the natural timestep of a disc.
+| **Parameter input type**: Float
+| **Default value**: 0.01
+
+| **Parameter**: white_dwarf_cooling_model
+| **Description**: White dwarf cooling model, relates age to luminosity. WHITE_DWARF_COOLING_MESTEL = 0 is Mestel's model, WHITE_DWARF_COOLING_MESTEL_MODIFIED = 1 is Hurley's modified Mestel model, WHITE_DWARF_COOLING_CARRASCO2014 = 2 is based on Carrasco (2014) tables.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['WHITE_DWARF_COOLING_MESTEL = 0', 'WHITE_DWARF_COOLING_MESTEL_MODIFIED = 1', 'WHITE_DWARF_COOLING_CARRASCO2014 = 2']
+
+| **Parameter**: white_dwarf_radius_model
+| **Description**: White dwarf radius model, radius to mass (and perhaps age). WHITE_DWARF_RADIUS_NAUENBERG1972 = 0 Nauenberg (1972), WHITE_DWARF_RADIUS_MU = 1 mu-dependent variant, WHITE_DWARF_RADIUS_CARRASCO2014 = 2 is based on Carrasco (2014) tables.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['WHITE_DWARF_RADIUS_NAUENBERG1972 = 0', 'WHITE_DWARF_RADIUS_MU = 1', 'WHITE_DWARF_RADIUS_CARRASCO2014 = 2']
+
+| **Parameter**: cbdisc_mass_loss_inner_viscous_accretion_method
+| **Description**: Chooses where the mass that is accreted from the inner edge of a circumbinary disc goes, i.e. to which star. 0 = Young and Clarke 2015, 1 = Gerosa et al 2015, 2 = 50:50 (i.e. not dependence on mass).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['CBDISC_MASS_LOSS_INNER_VISCOUS_ACCRETION_METHOD_YOUNG_CLARKE_2015 = 0', 'CBDISC_MASS_LOSS_INNER_VISCOUS_ACCRETION_METHOD_GEROSA_2015 = 1', 'CBDISC_MASS_LOSS_INNER_VISCOUS_ACCRETION_METHOD_EQUAL = 2', 'CBDISC_MASS_LOSS_INNER_VISCOUS_ACCRETION_METHOD_NONE = 3']
+
+| **Parameter**: cbdisc_inner_edge_stripping
+| **Description**: If True, allow inner edge mass stripping.
+| **Parameter input type**: True|False
+| **Default value**: True
+
+| **Parameter**: cbdisc_end_evolution_after_disc
+| **Description**: If True, stop evolution when a disc evaporates.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: cbdisc_no_wind_if_cbdisc
+| **Description**: If True, disable stellar winds when there is a circumbinary disc.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: cbdisc_outer_edge_stripping
+| **Description**: If True, allow outer edge mass stripping.
+| **Parameter input type**: True|False
+| **Default value**: True
+
+| **Parameter**: disc_n_monte_carlo_guesses
+| **Description**: Number of monte carlo guesses to try in the disc solver if the normal list of guesses fails (0).
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: disc_log
+| **Description**: If 1, turn on the disc log. Requires DISC_LOG to be defined on build.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['DISC_LOG_LEVEL_NONE = 0', 'DISC_LOG_LEVEL_NORMAL = 1', 'DISC_LOG_LEVEL_SUBTIMESTEP = 2', 'DISC_LOG_LEVEL_NORMAL_FIRST_DISC_ONLY = -1', 'DISC_LOG_LEVEL_SUBTIMESTEP_FIRST_DISC_ONLY = -2']
+
+| **Parameter**: disc_log2d
+| **Description**: If 1, turn on the 2d disc log. Requires DISC_LOG to be defined on build.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['DISC_LOG_LEVEL_NONE = 0', 'DISC_LOG_LEVEL_NORMAL = 1', 'DISC_LOG_LEVEL_SUBTIMESTEP = 2', 'DISC_LOG_LEVEL_NORMAL_FIRST_DISC_ONLY = -1', 'DISC_LOG_LEVEL_SUBTIMESTEP_FIRST_DISC_ONLY = -2']
+
+| **Parameter**: disc_log_dt
+| **Description**: If non-zero, only allows disc log output every disc_log_dt Myr.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: disc_log_directory
+| **Description**: Directory into which disc logging is sent (must exist!).
+| **Parameter input type**: String
+| **Default value**: /tmp/
+| **Extra**: /tmp/
+
+| **Parameter**: post_ce_adaptive_menv
+| **Description**: If TRUE, and if post_ce_objects_have_envelopes is TRUE, then the envelope mass of a post-CE star is such that it sits just inside its Roche lobe. If FALSE then a fixed (thin) envelope mass is applied that depends on the stellar type (see macros POST_CE_ENVELOPE_DM_GB, POST_CE_ENVELOPE_DM_EAGB and POST_CE_ENVELOPE_DM_TPAGB).
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: post_ce_objects_have_envelopes
+| **Description**: If TRUE then post-common-envelope objects have thin envelopes. You need this if you are to have post-CE post-AGB stars. Note that this *may* be unstable, i.e. you may end up having many CEEs. The mass in the envelope is controlled by post_ce_adaptive_menv. TRUE by default.
+| **Parameter input type**: True|False
+| **Default value**: True
+
+| **Parameter**: PN_comenv_transition_time
+| **Description**: post-common envelope transition time in years (1e2). This is the time taken to move from CEE ejection to Teff > 30e4 K. Hall et al. (2013) suggest ~100 years.
+| **Parameter input type**: Float
+| **Default value**: 100
+
+| **Parameter**: minimum_time_between_PNe
+| **Description**: The minimum time (Myr) between planetary nebula detections. This prevents multiple, fast common envelopes triggering two PNe (0.1).
+| **Parameter input type**: Float
+| **Default value**: 0.1
+
+| **Parameter**: PN_Hall_fading_time_algorithm
+| **Description**: In stars with low mass (<0.45Msun) cores, you can choose to set the PN fading time to either the minimum (PN_HALL_FADING_TIME_ALGORITHM_MINIMUM) or maximum (PN_HALL_FADING_TIME_ALGORITHM_MAXIMUM) as shown in Fig. 6 of Hall et al. (2013).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['PN_HALL_FADING_TIME_ALGORITHM_MINIMUM = 0', 'PN_HALL_FADING_TIME_ALGORITHM_MAXIMUM = 1']
+
+| **Parameter**: PPN_envelope_mass
+| **Description**: Desired pre-planetary nebula (post-AGB) envelope mass.
+| **Parameter input type**: Float
+| **Default value**: 0.01
+
+| **Parameter**: cbdisc_eccentricity_pumping_method
+| **Description**: Select from various eccentricity-pumping methods when there is a circumbinary disc. Requires DISCS. 0 = off.
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['CBDISC_ECCENTRICITY_PUMPING_NONE = 0', 'CBDISC_ECCENTRICITY_PUMPING_DERMINE = 1']
+
+| **Parameter**: cbdisc_viscous_photoevaporative_coupling
+| **Description**: Set to 1 to turn on viscous-photoevaporative coupling in circumbinary discs. Requires DISCS. 0 = CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_NONE = off, 1 = CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_INSTANT instant, 2 = CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_VISCOUS slow, viscous wind.
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_NONE = 0', 'CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_INSTANT = 1', 'CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_VISCOUS = 2']
+
+| **Parameter**: cbdisc_inner_edge_stripping_timescale
+| **Description**: Defines the timescale for mass loss from by inner edge stripping. 0 = instant, 1 = very long, 2 = viscous at Revap_in, 3 = orbital at Revap_in.
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['DISC_STRIPPING_TIMESCALE_INSTANT = 1', 'DISC_STRIPPING_TIMESCALE_INFINITE = 2', 'DISC_STRIPPING_TIMESCALE_VISCOUS = 3', 'DISC_STRIPPING_TIMESCALE_ORBIT = 4']
+
+| **Parameter**: cbdisc_outer_edge_stripping_timescale
+| **Description**: Defines the timescale for mass loss from by outer edge stripping. 0 = instant, 1 = very long, 2 = viscous at Revap_in, 3 = orbital at Revap_out.
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['DISC_STRIPPING_TIMESCALE_INSTANT = 1', 'DISC_STRIPPING_TIMESCALE_INFINITE = 2', 'DISC_STRIPPING_TIMESCALE_VISCOUS = 3', 'DISC_STRIPPING_TIMESCALE_ORBIT = 4']
+
+| **Parameter**: cbdisc_viscous_L2_coupling
+| **Description**: Set to 1 to turn on viscous-L2-loss coupling in circumbinary discs. Requires DISCS. 0 = off.
+| **Parameter input type**: Integer
+| **Default value**: 1
+
+| **Parameter**: gravitational_radiation_model
+| **Description**: Model for gravitational radiation from the system. 0=Hurley et al 2002 (Landau and Lifshitz 1951). 1 = as 0 but only when there is no RLOF. 2 = none.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['GRAVITATIONAL_RADIATION_BSE = 0', 'GRAVITATIONAL_RADIATION_BSE_WHEN_NO_RLOF = 1', 'GRAVITATIONAL_RADIATION_NONE = 2', 'GRAVITATIONAL_RADIATION_LANDAU_LIFSHITZ = 3', 'GRAVITATIONAL_RADIATION_LANDAU_LIFSHITZ_WHEN_NO_RLOF = 4']
+
+| **Parameter**: nova_irradiation_multiplier
+| **Description**: Multiplier for nova-radiative induced mass loss. (Shara+1986)
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: gravitational_radiation_modulator_J
+| **Description**: Modulator for gravitational wave radiation angular momentum loss rate (1.0).
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: gravitational_radiation_modulator_e
+| **Description**: Modulator for gravitational wave radiation eccentricity pumping rate (1.0).
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: nova_faml_multiplier
+| **Description**: Nova friction-induced angular momentum loss multiplier. (Shara+1986)
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: RLOF_angular_momentum_transfer_model
+| **Description**: Choose angular momentum transfer model in RLOF. 0=BSE (with discs), 1=conservative
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['RLOF_ANGULAR_MOMENTUM_TRANSFER_MODEL_BSE = 0', 'RLOF_ANGULAR_MOMENTUM_TRANSFER_MODEL_CONSERVATIVE = 1']
+
+| **Parameter**: post_SN_orbit_method
+| **Description**: Method by which the post-SN orbit is calculated. 0=BSE, 1=Tauris&Taken 1998.
+| **Parameter input type**: Integer
+| **Default value**: 1
+| **Macros**: ['POST_SN_ORBIT_BSE = 0', 'POST_SN_ORBIT_TT98 = 1']
+
+| **Parameter**: multiplicity
+| **Description**: Multiplicity: 1=single star, 2=binary, 3=triple, 4=quadruple.
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: accretion_limit_eddington_steady_multiplier
+| **Description**: Steady accretion is limited by the Eddington instability, with limiting rate given by the accretion_limit_eddington_steady_multiplier * the normal (spherically symmetric) Eddington rate. This is known in the trade as the Eddington factor, and anything greater than 1.0 potentially gives you super-Eddington accretion.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: accretion_limit_eddington_LMMS_multiplier
+| **Description**: Accretion from a low-mass, convective, main_sequence star is limited by the Eddington instability, with limiting rate given by the accretion_limit_eddington_LMMS_multiplier * the normal (spherically symmetric) Eddington rate. This is known in the trade as the Eddington factor, and anything greater than 1.0 potentially gives you super-Eddington accretion.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: accretion_limit_eddington_WD_to_remnant_multiplier
+| **Description**: Accretion from a WD onto a remnant star (e.g. another white dwarf, neutron star or black hole) is limited by the Eddington instability, with limiting rate given by the accretion_limit_eddington_WD_to_remnant_multiplier * the normal (spherically symmetric) Eddington rate. This is known in the trade as the Eddington factor, and anything greater than 1.0 potentially gives you super-Eddington accretion.
+| **Parameter input type**: Float
+| **Default value**: -1
+
+| **Parameter**: accretion_limit_thermal_multiplier
+| **Description**: Mass transfer onto a MS, HG or CHeB star is limited by the accretor's thermal rate times this multiplier.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: accretion_limit_dynamical_multiplier
+| **Description**: Mass transfer is limited by the accretor's dynamical rate times this multiplier.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: donor_limit_envelope_multiplier
+| **Description**: Mass transfer by RLOF is limited by this fraction of the donor's envelope mass per timestep
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: donor_limit_thermal_multiplier
+| **Description**: Mass transfer by RLOF is limited by the accretor's thermal rate times this multiplier.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: donor_limit_dynamical_multiplier
+| **Description**: Mass transfer by RLOF is limited by the donor's dynamical rate times this multiplier.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: Bondi_Hoyle_accretion_factor
+| **Description**: Wind accretion rate, as calculated by the Bondi-Hoyle-Littleton formula, multiplcation factor. Hurley et al 2002 use 1.5, which is the default.
+| **Parameter input type**: Float
+| **Default value**: 1.5
+
+| **Parameter**: tidal_strength_factor
+| **Description**: A modulator for the tidal strength. If this factor > 1 then tides are stronger, i.e. tidal timescales are reduced.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: hachisu_qcrit
+| **Description**: Critical q=Maccretor/Mdonor above which Hachisu's disk wind turns on.
+| **Parameter input type**: Float
+| **Default value**: 1.15
+| **Macros**: ['HACHISU_IGNORE_QCRIT = -1']
+
+| **Parameter**: hachisu_disk_wind
+| **Description**: Set to True to turn on Hachisu's disk wind when material accretes too fast onto a white dwarf. This helps to make more SNeIa. See also hachisu_qcrit.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: mass_accretion_for_eld
+| **Description**: The mass that must be accreted onto a COWD for it to ignite as an edge-lit detonation SNIa.
+| **Parameter input type**: Float
+| **Default value**: 0.15
+
+| **Parameter**: WDWD_merger_algorithm
+| **Description**: Algorithm to be used when merging two white dwarfs. 0 = Hurley et al. (2002), 1 = Perets+ (2019), 2 = Chen+ (2016, todo)
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['WDWD_MERGER_ALGORITHM_BSE = 0', 'WDWD_MERGER_ALGORITHM_PERETS2019 = 1', 'WDWD_MERGER_ALGORITHM_CHEN2016 = 2']
+
+| **Parameter**: type_Ia_MCh_supernova_algorithm
+| **Description**: Algorithm to be used when calculating type Ia yields from Chandrasekhar-mass exploders. 0 = DD7 (Iwamoto 1999), 1 = Seitenzahl 2013 3D hydro yields (you must also set Seitenzahl2013_model)
+| **Parameter input type**: Integer
+| **Default value**: NULL
+
+| **Parameter**: Seitenzahl2013_model
+| **Description**: Which of Seitenzahl et al. 2013's models to use? One of N1,N3,N5,N10,N20,N40,N100L,N100,N100H,N150,N200,N300C,N1600,N1600C,N100_Z0.5,N100_Z0.1,N100_Z0.01 (defaults to N100).
+| **Parameter input type**: String
+| **Default value**: NULL
+| **Extra**: N1
+
+| **Parameter**: type_Ia_sub_MCh_supernova_algorithm
+| **Description**: Algorithm to be used when calculating type Ia yields from sub-Chandrasekhar-mass exploders. (Currently unused.)
+| **Parameter input type**: Integer
+| **Default value**: NULL
+
+| **Parameter**: max_HeWD_mass
+| **Description**: The maximum mass a HeWD can have before it ignites helium (0.7).
+| **Parameter input type**: Float
+| **Default value**: 0.7
+
+| **Parameter**: merger_mass_loss_fraction
+| **Description**: Fraction of the total mass which is lost when stars merge.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: merger_angular_momentum_factor
+| **Description**: When two stars merge the resulting single star retains a fraction of the total system angular momentum (or the critical spin angular momentum, if it is smaller) multiplied by this factor.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: wind_angular_momentum_loss
+| **Description**: Prescription for losing angular momentum in a stellar wind. 0=Hurley et al 2002 ('Tout') prescription, 1=lw i.e. a factor multiplying the specific orbital angular momentum, 2=lw hybrid for fast winds. Set wind_djorb_fac to the desired factor..
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['WIND_ANGMOM_LOSS_BSE = 0', 'WIND_ANGMOM_LOSS_LW = 1', 'WIND_ANGMOM_LOSS_LW_HYBRID = 2', 'WIND_ANGMOM_LOSS_SPHERICALLY_SYMMETRIC = 3']
+
+| **Parameter**: wind_djorb_fac
+| **Description**: Factor multiplying angular momentum loss in a stellar wind when wind_angular_momentum_loss=0 (the Tout/Hurley et al 2002 prescription). See wind_angular_momentum_loss.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: lw
+| **Description**: Factor multiplying angular momentum loss in a stellar wind when wind_angular_momentum_loss=1,2 (the 'lw' prescription). See wind_angular_momentum_loss.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: VW93_EAGB_wind_speed
+| **Description**: Activate this to use Vassiliadis and Wood (1993) wind speed during the EAGB.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: VW93_TPAGB_wind_speed
+| **Description**: Activate this to use Vassiliadis and Wood (1993) wind speed during the EAGB.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: use_periastron_Roche_radius
+| **Description**: Set this to True to use the Roche lobe radius at periastron, rather than (the default to) assume a circular orbit. This will be useful one day when we treat RLOF in eccentric orbits properly, hopefully.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: qcrit_LMMS
+| **Description**: Apply critical q=Mdonor/Maccretor value for low-mass main sequence stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 0.6944
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_MS
+| **Description**: Apply critical q=Mdonor/Maccretor value for (non-low mass) main sequence stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 1.6
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_HG
+| **Description**: Apply critical q=Mdonor/Maccretor value for Hertzsprung gap stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 4
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_GB
+| **Description**: Apply critical q=Mdonor/Maccretor value for first red giant branch stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_CHeB
+| **Description**: Apply critical q=Mdonor/Maccretor value for core helium burning stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 3
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_EAGB
+| **Description**: Apply critical q=Mdonor/Maccretor value for early-AGB stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_TPAGB
+| **Description**: Apply critical q=Mdonor/Maccretor value for TP-AGB stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_HeMS
+| **Description**: Apply critical q=Mdonor/Maccretor value for helium main sequence stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 3
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_HeHG
+| **Description**: Apply critical q=Mdonor/Maccretor value for helium Hertzsprung gap stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 4
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_HeGB
+| **Description**: Apply critical q=Mdonor/Maccretor value for helium red giant stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 0.78125
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_HeWD
+| **Description**: Apply critical q=Mdonor/Maccretor value for helium white dwarf stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 3
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_COWD
+| **Description**: Apply critical q=Mdonor/Maccretor value for carbon-oxygen white dwarf stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 3
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_ONeWD
+| **Description**: Apply critical q=Mdonor/Maccretor value for oxygen-neon white dwarf stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 3
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_NS
+| **Description**: Apply critical q=Mdonor/Maccretor value for neutron stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 3
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_BH
+| **Description**: Apply critical q=Mdonor/Maccretor value for black holes to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 3
+| **Macros**: ['QCRIT_BSE = -1', 'QCRIT_HJELLMING_WEBBINK = -2', 'QCRIT_Q_NO_COMENV = -3', 'QCRIT_CHEN_HAN_TABLE = -4', 'QCRIT_CHEN_HAN_FORMULA = -5', 'QCRIT_GE2015 = -6', 'QCRIT_VOS2018 = -7', 'QCRIT_TEMMINK2021 = -8', 'QCRIT_GB_BSE = -1', 'QCRIT_GB_HJELLMING_WEBBINK = -2', 'QCRIT_GB_Q_NO_COMENV = -3', 'QCRIT_GB_CHEN_HAN_TABLE = -4', 'QCRIT_GB_CHEN_HAN_FORMULA = -5', 'QCRIT_GB_GE2015 = -6', 'QCRIT_GB_VOS2018 = -7', 'QCRIT_GB_TEMMINK2021 = -8']
+
+| **Parameter**: qcrit_degenerate_LMMS
+| **Description**: Apply critical q=Mdonor/Maccretor value for (low mass) main sequence stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: qcrit_degenerate_MS
+| **Description**: Apply critical q=Mdonor/Maccretor value for (non-low mass) main sequence stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: qcrit_degenerate_HG
+| **Description**: Apply critical q=Mdonor/Maccretor value for Hertzsprung gap stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 4.7619
+
+| **Parameter**: qcrit_degenerate_GB
+| **Description**: Apply critical q=Mdonor/Maccretor value for first red giant branch stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 1.15
+
+| **Parameter**: qcrit_degenerate_CHeB
+| **Description**: Apply critical q=Mdonor/Maccretor value for core helium burning stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 3
+
+| **Parameter**: qcrit_degenerate_EAGB
+| **Description**: Apply critical q=Mdonor/Maccretor value for early-AGB stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 1.15
+
+| **Parameter**: qcrit_degenerate_TPAGB
+| **Description**: Apply critical q=Mdonor/Maccretor value for TP-AGB stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 1.15
+
+| **Parameter**: qcrit_degenerate_HeMS
+| **Description**: Apply critical q=Mdonor/Maccretor value for helium main sequence stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 3
+
+| **Parameter**: qcrit_degenerate_HeHG
+| **Description**: Apply critical q=Mdonor/Maccretor value for helium Hertzsprung gap stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 4.7619
+
+| **Parameter**: qcrit_degenerate_HeGB
+| **Description**: Apply critical q=Mdonor/Maccretor value for helium red giant stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 1.15
+
+| **Parameter**: qcrit_degenerate_HeWD
+| **Description**: Apply critical q=Mdonor/Maccretor value for helium white dwarf stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 0.625
+
+| **Parameter**: qcrit_degenerate_COWD
+| **Description**: Apply critical q=Mdonor/Maccretor value for carbon-oxygen white dwarf stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 0.625
+
+| **Parameter**: qcrit_degenerate_ONeWD
+| **Description**: Apply critical q=Mdonor/Maccretor value for oxygen-neon white dwarf stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 0.625
+
+| **Parameter**: qcrit_degenerate_NS
+| **Description**: Apply critical q=Mdonor/Maccretor value for neutron stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 0.625
+
+| **Parameter**: qcrit_degenerate_BH
+| **Description**: Apply critical q=Mdonor/Maccretor value for black holes to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.
+| **Parameter input type**: Float
+| **Default value**: 0.625
+
+| **Parameter**: mass_for_Hestar_Ia_upper
+| **Description**: Only helium stars below this mass can explode as SNIa. Default is zero, i.e. it never happens. See also mass_for_Hestar_Ia_lower.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: mass_for_Hestar_Ia_lower
+| **Description**: Only helium stars above this mass can explode as SNIa. Default is zero, i.e. it never happens. See also mass_for_Hestar_Ia_upper.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: alphaCB
+| **Description**: Circumbinary disk viscosity parameter, alpha.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: minimum_donor_menv_for_comenv
+| **Description**: Minimum donor envelope mass for common envelope evolution to be triggered (Msun). Default 0.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: comenv_prescription
+| **Description**: Use this to choose which common envelope prescription you should use. 0=Hurley et al 2002 (based on the Paczyński energy model) or 1=Nelemans and Tout (angular momentum model). See also alpha_ce, comenv_ms_accretion_mass, comenv_ms_accretion_fraction, comenv_ns_accretion_fraction, comenv_ns_accretion_mass, nelemans_gamma, nelemans_minq, nelemans_max_frac_j_change, nelemans_n_comenvs, lambda_ce, lambda_ionisation.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['COMENV_UNDEF = -1', 'COMENV_BSE = 0', 'COMENV_NELEMANS_TOUT = 1', 'COMENV_NANDEZ2016 = 2']
+
+| **Parameter**: comenv_prescription%d
+| **Description**: Use this to choose which common envelope prescription you should use. 0=Hurley et al 2002 (based on the Paczyński energy model) or 1=Nelemans and Tout (angular momentum model). See also alpha_ce, comenv_ms_accretion_mass, comenv_ms_accretion_fraction, comenv_ns_accretion_fraction, comenv_ns_accretion_mass, nelemans_gamma, nelemans_minq, nelemans_max_frac_j_change, nelemans_n_comenvs, lambda_ce, lambda_ionisation.
+| **Parameter input type**: Int(scanf)
+| **Default value**: NULL
+| **Macros**: ['COMENV_UNDEF = -1', 'COMENV_BSE = 0', 'COMENV_NELEMANS_TOUT = 1', 'COMENV_NANDEZ2016 = 2']
+
+| **Parameter**: comenv_ejection_spin_method
+| **Description**: When a common envelope is ejected, we need to decide how fast the stars are left spinning. COMENV_EJECTION_SPIN_METHOD_DO_NOTHING (0) is the default, this just leaves the stars/stellar cores spinning with the same spin rate (omega = angular velocity) with which they entered the common envelope phase. COMENV_EJECTION_SPIN_METHOD_SYCHRONIZE instead tidally synchronizes the stars with their new orbital angular velocity.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['COMENV_EJECTION_SPIN_METHOD_DO_NOTHING = 0', 'COMENV_EJECTION_SPIN_METHOD_SYNCHRONIZE = 1']
+
+| **Parameter**: comenv_merger_spin_method
+| **Description**: When a common envelope binary merges, we need to decide how fast the resulting single star is left spinning. COMENV_MERGER_SPIN_METHOD_SPECIFIC (0) is the default, this preserves angular momentum but limits the specific angular momentum of the merged star to the specific angular momentum of the system at the onset of common envelope evolution. COMENV_MERGER_SPIN_METHOD_CONSERVE_ANGMOM (1) sets the merger's angular momentum to be that of the system at the onset of common envelope evolution (which means the star may be rotating supercritically). COMENV_MERGER_SPIN_METHOD_CONSERVE_OMEGA (2) sets the spin rate (angular frequency = omega) of the merged star to be that of the orbit just at the onset of common envelope evolution.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['COMENV_MERGER_SPIN_METHOD_SPECIFIC = 0', 'COMENV_MERGER_SPIN_METHOD_CONSERVE_ANGMOM = 1', 'COMENV_MERGER_SPIN_METHOD_CONSERVE_OMEGA = 2', 'COMENV_MERGER_SPIN_METHOD_BREAKUP = 3']
+
+| **Parameter**: comenv_ms_accretion_mass
+| **Description**: Experimental. During common envelope evolution, a main sequence star may accrete some of the envelope's mass. Requires COMENV_MS_ACCRETION. See also comenv_ms_accretion_fraction.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: comenv_ms_accretion_fraction
+| **Description**: Experimental. During common envelope evolution, a main sequence may accrete a fraction of the envelope's mass. Requires COMENV_MS_ACCRETION. See also comenv_ms_accretion_mass.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: comenv_ns_accretion_mass
+| **Description**: Experimental. During common envelope evolution, a neutron star may accrete some of the envelope's mass. Requires COMENV_NS_ACCRETION. See also comenv_ns_accretion_fraction.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: comenv_ns_accretion_fraction
+| **Description**: Experimental. During common envelope evolution, a neutron star may accrete a fraction of the envelope's mass. Requires COMENV_NS_ACCRETION. See also comenv_ns_accretion_mass.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: alpha_ce
+| **Description**: Common envelope energy formalism parameter. A fraction alpha of the orbital energy is used to eject the envelope. See Hurley et al 2002 for details.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: alpha_ce%d
+| **Description**: Common envelope energy formalism parameter. A fraction alpha of the orbital energy is used to eject the envelope. See Hurley et al 2002 for details.
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: lambda_ce
+| **Description**: Common envelope parameter. The binding energy of the common envelope is G*M*Menv/(lambda*R). Typically this is taken to be 0.5, but if set to -1 binary_c uses the Dewi and Tauris fits instead, -2 uses the formalism of Wang, Jia and Li (2016) and if -3 then a polytropic formalism is used (see also comenv_splitmass).
+| **Parameter input type**: Float
+| **Default value**: 0.5
+| **Macros**: ['LAMBDA_CE_DEWI_TAURIS = -1', 'LAMBDA_CE_WANG_2016 = -2', 'LAMBDA_CE_POLYTROPE = -3', 'LAMBDA_CE_KLENCKI_2020 = -4']
+
+| **Parameter**: lambda_ce%d
+| **Description**: Common envelope parameter. The binding energy of the common envelope is G*M*Menv/(lambda*R). Typically this is taken to be 0.5, but if set to -1 binary_c uses the Dewi and Tauris fits instead, -2 uses the formalism of Wang, Jia and Li (2016) and if -3 then a polytropic formalism is used (see also comenv_splitmass).
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: comenv_splitmass
+| **Description**: When lambda_ce=-2, the envelope binding energy, lambda, is calculated using a polytropic formalism. The comenv_splitmass defines the point, in the units of the core mass, above which material is ejected.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: nelemans_recalc_eccentricity
+| **Description**: If True, recalculate the eccentricity after angular momentum is removed.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: comenv_post_eccentricity
+| **Description**: Eccentricity remaining after common envelope ejection.
+| **Parameter input type**: Float
+| **Default value**: 1e-05
+
+| **Parameter**: nelemans_gamma
+| **Description**: Set the fraction of the orbital specific angular momentum that is used to eject the common envelope according to the Nelemans and Tout prescription. See also nelemans_minq, nelemans_max_frac_j_change, nelemans_n_comenvs.
+| **Parameter input type**: Float
+| **Default value**: 1.75
+
+| **Parameter**: nelemans_minq
+| **Description**: Only activate the Nelemans and Tout common envelope prescription for q>nelemans_minq. See also nelemans_gamma, nelemans_max_frac_j_change, nelemans_n_comenvs.
+| **Parameter input type**: Float
+| **Default value**: 0.2
+
+| **Parameter**: nelemans_max_frac_j_change
+| **Description**: Maximum fractional angular momentum change in the Nelemans and Tout common envelope prescription. See also nelemans_gamma, nelemans_minq, nelemans_n_comenvs.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: nelemans_n_comenvs
+| **Description**: Set the maximum number of common envelope ejections allowed to follow the Nelemans and Tout prescription, after which the standard alpha prescription is used.
+| **Parameter input type**: Integer
+| **Default value**: 1
+
+| **Parameter**: lambda_ionisation
+| **Description**: A fraction lambda_ionisation of the recombination energy in the common envelope goes into ejecting the envelope. This is usually 0.0, but a positive value can make a big difference to the outcome of common envelope evolution.
+| **Parameter input type**: Float
+| **Default value**: 0.5
+
+| **Parameter**: lambda_ionisation%d
+| **Description**: A fraction lambda_ionisation of the recombination energy in the common envelope goes into ejecting the envelope. This is usually 0.0, but a positive value can make a big difference to the outcome of common envelope evolution.
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: lambda_enthalpy
+| **Description**: A fraction of the enthalpy to be included in the common envelope evolution binding energy. Only used for the Wang 2016 prescription (so far).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: lambda_enthalpy%d
+| **Description**: A fraction of the enthalpy to be included in the common envelope evolution binding energy. Only used for the Wang 2016 prescription (so far).
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: cbdisc_albedo
+| **Description**: Circumbinary-disc albedo. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: cbdisc_gamma
+| **Description**: Circumbinary disc gamma (equation of state) parameter. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1.4
+
+| **Parameter**: cbdisc_alpha
+| **Description**: Circumbinary disc alpha (viscosity) parameter. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 0.001
+
+| **Parameter**: cbdisc_kappa
+| **Description**: Circumbinary disc kappa (opacity) parameter. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 0.01
+
+| **Parameter**: cbdisc_minimum_evaporation_timescale
+| **Description**: Circumbinary disc minimum evaporation timescale (years). If (slow, not edge stripped) mass loss would evaporate the disc on a timescale less than this, simply evaporate the disc immediated. Usually set to 1y, ignore if zero. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: cbdisc_torquef
+| **Description**: Circumbinary disc binary torque multiplier. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 0.001
+
+| **Parameter**: cbdisc_max_lifetime
+| **Description**: Circumbinary disc maximum lifetime (years, ignored if 0). Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1e+06
+
+| **Parameter**: cbdisc_init_dM
+| **Description**: On cbdisc start, reduce mass by a fraction dM if it won't converge. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 0.1
+
+| **Parameter**: cbdisc_init_dJdM
+| **Description**: On cbdisc start, reduce angular momentum by a fraction dJ/dM*dM if it won't converge. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 0.5
+
+| **Parameter**: cbdisc_mass_loss_constant_rate
+| **Description**: Circumbinary disc constant mass loss rate (Msun/year). Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: cbdisc_mass_loss_FUV_multiplier
+| **Description**: Circumbinary disc FUV mass loss rate multiplier (no units). Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: cbdisc_mass_loss_Xray_multiplier
+| **Description**: Circumbinary disc X-ray mass loss rate multiplier (no units). Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: cbdisc_mass_loss_ISM_ram_pressure_multiplier
+| **Description**: Circumbinary disc interstellar medium ram pressure stripping mass loss rate multiplier (no units). Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: cbdisc_mass_loss_ISM_pressure
+| **Description**: Circumbinary disc interstellar medium ram pressure in units of Boltzmann constant per Kelvin (I think...). Requires DISCS. Typically 3000.0. See e.g. http://www.astronomy.ohio-state.edu/~pogge/Ast871/Notes/Intro.pdf page 15 or https://arxiv.org/pdf/0902.0820.pdf Fig. 1 (left panel).
+| **Parameter input type**: Float
+| **Default value**: 3000
+
+| **Parameter**: cbdisc_mass_loss_inner_viscous_multiplier
+| **Description**: Circumbinary disc inner edge viscous mass loss rate multiplier (no units). Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: cbdisc_mass_loss_inner_viscous_angular_momentum_multiplier
+| **Description**: Circumbinary disc inner edge viscous angular momentum multiplier (no units). The inner edge angular momentum Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: cbdisc_resonance_multiplier
+| **Description**: Circumbinary disc resonant interaction multiplier, affects eccentricity pumping and angular momentum rates. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: cbdisc_resonance_damping
+| **Description**: Circumbinary disc resonant interaction damping: should be on (True) to damp the l=1, m=2 resonance when the disc inner edge lies outside the resonance location. Requires DISCS.
+| **Parameter input type**: True|False
+| **Default value**: True
+
+| **Parameter**: cbdisc_fail_ring_inside_separation
+| **Description**: If True, while converging on a structure, circumbinary discs with Rring < the binary separation are immediately failed.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: cbdisc_mass_loss_inner_L2_cross_multiplier
+| **Description**: Circumbinary disc inner edge L2-crossing mass loss rate multiplier (no units). Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: cbdisc_minimum_luminosity
+| **Description**: Circumbinary disc minimum luminosity. If the disc becomes dimmer than this, the disc is evaporated instantly. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: cbdisc_minimum_mass
+| **Description**: Circumbinary disc minimum mass. If the disc becomes less massive than this, the disc is evaporated instantly. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 1e-06
+
+| **Parameter**: cbdisc_minimum_fRing
+| **Description**: Circumbinary disc minimum fRing. If the disc becomes a ring, and fRing = |Rout/Rin-1| < this value (and this value is non-zero), the disc is evaporated instantly. Requires DISCS.
+| **Parameter input type**: Float
+| **Default value**: 0.2
+
+| **Parameter**: comenv_disc_angmom_fraction
+| **Description**: If >0 Fraction of the common envelope's angular momentum that goes into the circumbinary disc. If -1 then uses the moments of inertia to calculate (deprecated), if -2 use the common envelope's specific angular momentum, if -3 uses the L2 point at the end of the common envelope to set the angular momentum. Requires DISCS and DISCS_CIRCUMBINARY_FROM_COMENV.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: comenv_disc_mass_fraction
+| **Description**: Fraction of the common envelope's mass that goes into the circumbinary disc. Requires DISCS and DISCS_CIRCUMBINARY_FROM_COMENV.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: wind_disc_angmom_fraction
+| **Description**: If >0 Fraction of the wind envelope's angular momentum that goes into the circumbinary disc. If -1 then uses the L2 point's specific angular momentum. Requires DISCS and DISCS_CIRCUMBINARY_FROM_WIND.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: wind_disc_mass_fraction
+| **Description**: Fraction of the stellar wind's mass that goes into the circumbinary disc. Requires DISCS and DISCS_CIRCUMBINARY_FROM_WIND.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: WRLOF_method
+| **Description**: Choose whether and how to apply wind-Roche-lobe-overflow. 0=none, 1=q-dependent, 2=quadratic See Abate et al 2013/14 for details. Requires WRLOF_MASS_TRANSFER.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['WRLOF_NONE = 0', 'WRLOF_Q_DEPENDENT = 1', 'WRLOF_QUADRATIC = 2']
+
+| **Parameter**: minimum_timestep
+| **Description**: The minimum timestep (Myr).
+| **Parameter input type**: Float
+| **Default value**: 1e-06
+
+| **Parameter**: timestep_solver_factor
+| **Description**: Factor applied in timestep_limits, e.g. to prevent X changing too fast by comparing to X/dX/dt, which is usually 1 but can be higher to lengthen timesteps when using an alternative solver.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: RLOF_mdot_factor
+| **Description**: Multiplier applied to the mass transfer rate during Roche-lobe overflow. Requires RLOF_MDOT_MODULATION.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: RLOF_f
+| **Description**: Factor to enlarge a Roche lobe, nominally because of radiation pressure (see Dermine et al paper). Requires RLOF_RADIATION_CORRECTION.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: minimum_separation_for_instant_RLOF
+| **Description**: If True, instead of evolving the system just report the minimum separation (on the zero-age main sequence) that would lead to instant RLOF. Used by binary_grid. See also minimum_orbital_period_for_instant_RLOF and maximum_mass_ratio_for_instant_RLOF.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: minimum_orbital_period_for_instant_RLOF
+| **Description**: If True, instead of evolving the system just report the minimum orbital period (on the zero-age main sequence) that would lead to instant RLOF. Used by binary_grid. See also minimum_separation_for_instant_RLOF and maximum_mass_ratio_for_instant_RLOF.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: maximum_mass_ratio_for_instant_RLOF
+| **Description**: If True, instead of evolving the system just report the maximum mass ratio (on the zero-age main sequence) that would lead to instant RLOF, given M1 and orbital period. Used by binary_grid. See also minimum_separation_for_instant_RLOF and minimum_orbital_period_for_instant_RLOF.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: RLOF_method
+| **Description**: Use RLOF_method to choose the algorithm you use for Roche-lobe overflow mass loss rate calculations. 0=Hurley et al 2002, 1=Adaptive (for radiative stars) R=RL method, 2=Ritter (probably broken), 3=Claeys etal 2014 variant on Hurley et al 2002.
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['RLOF_METHOD_BSE = 0', 'RLOF_METHOD_ADAPTIVE = 1', 'RLOF_METHOD_RITTER = 2', 'RLOF_METHOD_CLAEYS = 3', 'RLOF_METHOD_ADAPTIVE2 = 4']
+
+| **Parameter**: RLOF_interpolation_method
+| **Description**: When a star overflows its Roche lobe, it always has R>RL because of the limited time resolution of the simulation. Binary_c then uses an algorithm to get back to when R~RL (within a desired tolerance, set in RLOF_ENTRY_THRESHOLD which is usually 1.02, i.e. overflow of 2%). You can choose algorithm 0, the Hurley et al 2002 method which reverses time (i.e. uses a Newton-like scheme), or 1 to use the binary_c method which rejects a timestep (and hence does no logging on that timestep) and repeats with half the timestep until R~RL. The latter is now the default, because this means there are no negative timesteps which break various other algorithms (e.g. nucleosynthesis).
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Macros**: ['RLOF_INTERPOLATION_BINARY_C = 0', 'RLOF_INTERPOLATION_BSE = 1']
+
+| **Parameter**: nova_retention_fraction
+| **Description**: The mass accreted during a nova as fraction of mass transferred
+| **Parameter input type**: Float
+| **Default value**: 0.001
+
+| **Parameter**: beta_reverse_nova
+| **Description**: The fraction of mass ejected in a nova explosion which is accreted back onto the companion star. Set to -1 to automatically calculate based on a geometric argument, or 0 or positive to set the value.
+| **Parameter input type**: Float
+| **Default value**: 0
+| **Macros**: ['BETA_REVERSE_NOVAE_GEOMETRY = -1']
+
+| **Parameter**: WD_accretion_rate_novae_upper_limit_hydrogen_donor
+| **Description**: Upper limit of the stable mass transfer rate onto a white dwarf that leads to novae when the donor is hydrogen rich: above this rate the mass transfer leads to stable burning.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['DONOR_RATE_ALGORITHM_CLAEYS2014 = -1', 'DONOR_RATE_ALGORITHM_BSE = -2']
+
+| **Parameter**: WD_accretion_rate_novae_upper_limit_helium_donor
+| **Description**: Upper limit of the stable mass transfer rate onto a white dwarf that leads to novae when the donor is helium rich: above this rate the mass transfer leads to stable burning.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['DONOR_RATE_ALGORITHM_CLAEYS2014 = -1', 'DONOR_RATE_ALGORITHM_BSE = -2']
+
+| **Parameter**: WD_accretion_rate_novae_upper_limit_other_donor
+| **Description**: Upper limit of the stable mass transfer rate onto a white dwarf that leads to novae when the donor is neither hydrogen nor helium rich: above this rate the mass transfer leads to stable burning.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['DONOR_RATE_ALGORITHM_CLAEYS2014 = -1', 'DONOR_RATE_ALGORITHM_BSE = -2']
+
+| **Parameter**: WD_accretion_rate_new_giant_envelope_lower_limit_hydrogen_donor
+| **Description**: Lower limit of the mass transfer rate onto a white dwarf that leads to a the formation of a new giant envelope with a hydrogen-rich donor. Below this mass transfer leads to stable burning.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['DONOR_RATE_ALGORITHM_CLAEYS2014 = -1', 'DONOR_RATE_ALGORITHM_BSE = -2']
+
+| **Parameter**: WD_accretion_rate_new_giant_envelope_lower_limit_helium_donor
+| **Description**: Lower limit of the mass transfer rate onto a white dwarf that leads to a the formation of a new giant envelope with a helium-rich donor. Below this mass transfer leads to stable burning.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['DONOR_RATE_ALGORITHM_CLAEYS2014 = -1', 'DONOR_RATE_ALGORITHM_BSE = -2']
+
+| **Parameter**: WD_accretion_rate_new_giant_envelope_lower_limit_other_donor
+| **Description**: Lower limit of the mass transfer rate onto a white dwarf that leads to a the formation of a new giant envelope when the donor is neither hydrogen nor helium rich. Below this mass transfer leads to stable burning.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['DONOR_RATE_ALGORITHM_CLAEYS2014 = -1', 'DONOR_RATE_ALGORITHM_BSE = -2']
+
+| **Parameter**: CRAP_parameter
+| **Description**: Tidally enhanced mass loss parameter. See Tout and Eggleton's paper on the subject. (Was the parameter bb).
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: individual_novae
+| **Description**: If individual_novae is True, novae are resolved such that each explosion is performed separtaely.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: nova_timestep_accelerator_num
+| **Description**: The nova timestep is accelerated if the nova number exceeds nova_timestep_accelerator_num. If zero or negative, acceleration is off. See also nova_timestep_accelerator_index and nova_timestep_accelerator_max. Only used if individual_novae is on.
+| **Parameter input type**: Float
+| **Default value**: 100
+
+| **Parameter**: nova_timestep_accelerator_index
+| **Description**: The index at which the nova timestep is accelerated. A larger value gives longer timesteps. See also nova_timestep_accelerator_num and nova_timestep_accelerator_max. Only used if individual_novae is on.
+| **Parameter input type**: Float
+| **Default value**: 0.5
+
+| **Parameter**: nova_timestep_accelerator_max
+| **Description**: The nova timestep is accelerated by a factor that is capped at nova_timestep_accelerator_max. This parameter is ignored if it is zero or negative. See also nova_timestep_accelerator_num and nova_timestep_accelerator_index. Only used if individual_novae is on.
+| **Parameter input type**: Float
+| **Default value**: -1
+
+| **Parameter**: nonconservative_angmom_gamma
+| **Description**: Mass lost from the system (but NOT from a stellar wind) takes a fraction gamma of the orbital angular momentum with it. Set to -1 to take the specific angular momentum of the donor star. Set to -2 to take super-Eddington, nova and disk-wind angular momenta as if a wind from the accretor.
+| **Parameter input type**: Float
+| **Default value**: -1
+| **Macros**: ['RLOF_NONCONSERVATIVE_GAMMA_DONOR = -1', 'RLOF_NONCONSERVATIVE_GAMMA_ISOTROPIC = -2']
+
+| **Parameter**: max_stellar_angmom_change
+| **Description**: Maxmimum fractional change in stellar angular momentum allowed before a timestep is rejected (0.05).
+| **Parameter input type**: Float
+| **Default value**: 0.05
+
+Section: nucsyn
+---------------
+
+| **Parameter**: third_dup
+| **Description**: If True, enables third dredge up. Requires NUCSYN and NUCSYN_THIRD_DREDGE_UP.
+| **Parameter input type**: True|False
+| **Default value**: True
+
+| **Parameter**: third_dup_multiplier
+| **Description**: Usage: --third_dup_multiplier <i> <f>. Multiplies the abundance of element <i> by <f> during third dredge up.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: 1.0
+
+| **Parameter**: NeNaMgAl
+| **Description**: Enables NeNaMgAl reaction network. Requires NUCSYN and NUCSYN_HBB.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+| **Extra**: Ignore
+
+| **Parameter**: nucsyn_network%d
+| **Description**: Usage: --nucsyn_network%d <boolean>. Turn a nuclear network on or off.
+| **Parameter input type**: Boolean(scanf)
+| **Default value**: NULL
+
+| **Parameter**: nucsyn_network_error%d
+| **Description**: Usage: --nucsyn_network_error%d <f>. Threshold error in nuclear network solver for network %d.
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: nucreacmult%d
+| **Description**: Usage: --nucreacmult%d <f>. Multiply nuclear reaction given by the integer %d (integer) by f (float).
+| **Parameter input type**: Float(scanf)
+| **Default value**: NULL
+
+| **Parameter**: nucsyn_metallicity
+| **Description**: This sets the metallicity of the nucleosynthesis algorithms, i.e. the amount (by mass) of matter which is not hydrogen or helium. Usually you'd just set this with the metallicity parameter, but if you want the nucleosynthesis to be outside the range of the stellar evolution algorithm (e.g. Z=0 or Z=0.04) then you need to use nucsyn_metallicity. That said, it's also outside the range of some of the nucleosynthesis algorithms as well, so you have been warned!
+| **Parameter input type**: Float
+| **Default value**: NULL
+| **Macros**: ['DEFAULT_TO_METALLICITY = -1']
+
+| **Parameter**: nucsyn_solver
+| **Description**: Choose the solver used in nuclear burning. 0 = KAPS_RENTROP is a Kaps-Rentrop scheme (fast, not great for stiff problems), 1 = LSODA (Adams/BSF switcher), 2 = CVODE library (https://computing.llnl.gov/projects/sundials. Default 0.
+| **Parameter input type**: Unsigned integer
+| **Default value**: NULL
+| **Extra**: 0
+
+| **Parameter**: initial_abundance_mix
+| **Description**: initial abundance mixture: 0=AG89, 1=Karakas 2002, 2=Lodders 2003, 3=Asplund 2005 (not available?), 4=Garcia Berro, 5=Grevesse Noels 1993
+| **Parameter input type**: Unsigned integer
+| **Default value**: NULL
+| **Extra**: 0
+
+| **Parameter**: init_abund
+| **Description**: Usage: --init_abund <i> <X>. Sets the initial abundance of isotope number <i> to mass fraction <X>.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: 0.02
+
+| **Parameter**: init_abund_mult
+| **Description**: Usage: --init_abund_mult <i> <f>. Multiplies the initial abundance of isotope number <i> by <f>.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: 1.0
+
+| **Parameter**: init_abund_dex
+| **Description**: Usage: --init_abund_dex <i> <f>. Changes the initial abundance of isotope number <i> by <f> dex.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: 0.0
+
+| **Parameter**: init_abunds_only
+| **Description**: If True, outputs only the initial abundances, then exits.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+
+| **Parameter**: initial_abunds_only
+| **Description**: If True, outputs only the initial abundances, then exits.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+
+| **Parameter**: no_thermohaline_mixing
+| **Description**: If True, disables thermohaline mixing.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+
+| **Parameter**: lithium_GB_post_Heflash
+| **Description**: Sets the lithium abundances after the helium flash. Requires NUCSYN and LITHIUM_TABLES.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: lithium_GB_post_1DUP
+| **Description**: Sets the lithium abundance after first dredge up. Requires NUCSYN and LITHIUM_TABLES.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: lithium_hbb_multiplier
+| **Description**: Multiplies the lithium abundances on the AGB during HBB (based on Karakas/Fishlock et al models).Requires NUCSYN and LITHIUM_TABLES.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_decay_function
+| **Description**: Functional form which describes Li7 decay. Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Choices are: 0 expoential (see angelou_lithium_decay_time).
+| **Parameter input type**: Integer
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_LMMS_time
+| **Description**: Time at which lithium manufacture is triggered in a low-mass (convective) main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_MS_time
+| **Description**: Time at which lithium manufacture is triggered on the main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_HG_time
+| **Description**: Time at which lithium manufacture is triggered on the Hertzsprung gap (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_GB_time
+| **Description**: Time at which lithium manufacture is triggered on the giant branch (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_CHeB_time
+| **Description**: Time at which lithium manufacture is triggered during core helium burning (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_EAGB_time
+| **Description**: Time at which lithium manufacture is triggered on the early AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_TPAGB_time
+| **Description**: Time at which lithium manufacture is triggered on the thermally pulsing AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_LMMS_decay_time
+| **Description**: Decay time for surface lithium abundance during the low-mass (convective) main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_MS_decay_time
+| **Description**: Decay time for surface lithium abundance on the main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_HG_decay_time
+| **Description**: Decay time for surface lithium abundance on the Hertzsprung gap (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_GB_decay_time
+| **Description**: Decay time for surface lithium abundance on the giant branch (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_CHeB_decay_time
+| **Description**: Decay time for surface lithium abundance during core helium burning (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_EAGB_decay_time
+| **Description**: Decay time for surface lithium abundance on the early AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_TPAGB_decay_time
+| **Description**: Decay time for surface lithium abundance on the thermally pulsing AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_LMMS_massfrac
+| **Description**: Lithium mass fraction when its manufacture is triggered during the low-mass (convective) main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_MS_massfrac
+| **Description**: Lithium mass fraction when its manufacture is triggered on the main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_HG_massfrac
+| **Description**: Lithium mass fraction when its manufacture is triggered on the Hertzsprung gap (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_GB_massfrac
+| **Description**: Lithium mass fraction when its manufacture is triggered on the giant branch (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_CHeB_massfrac
+| **Description**: Lithium mass fraction when its manufacture is triggered during core helium burning (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_EAGB_massfrac
+| **Description**: Lithium mass fraction when its manufacture is triggered on the early AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_TPAGB_massfrac
+| **Description**: Lithium mass fraction when its manufacture is triggered on the thermally pulsing AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_vrot_trigger
+| **Description**: Equatorial rotational velocity at which lithium manufacture is triggered (km/s). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: angelou_lithium_vrotfrac_trigger
+| **Description**: Fraction of Keplerian (breakup) equatorial rotational velocity at which lithium manufacture is triggered (must be <1, ignored if 0). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+Section: output
+---------------
+
+| **Parameter**: david_logging_function
+| **Description**: Function to choose which kind of information gets logged Requires DAVID. Choices are: 0= None, >0 for custom logging functions
+| **Parameter input type**: Integer
+| **Default value**: 0
+| **Extra**: Ignore
+
+| **Parameter**: cf_amanda_log
+| **Description**: Enable logging to compare to Amanda's models.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+
+| **Parameter**: float_overflow_checks
+| **Description**: Turn on to enable floating-point overflow checks at the end of each timestep, if they are available. 0=off, 1=warn (stderr) on failure, 2=exit on failure (0)
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: save_pre_events_stardata
+| **Description**: Enable this to save a copy of stardata to stardata->pre_events_stardata just before an event.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: disable_end_logging
+| **Description**: Disable the logging that happens at the end of the evolution.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: ensemble
+| **Description**: Turn on ensemble calculations and output.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: ensemble_filters_off
+| **Description**: Sets all ensemble filters to be off (FALSE) - these can then be enabled one-by-one with --ensemble_filter_[...] TRUE.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: ensemble_filter_%d
+| **Description**: Turn on or off ensemble filter <n>. For a list of filters, see ensemble_macros.h.
+| **Parameter input type**: Boolean(scanf)
+| **Default value**: NULL
+
+| **Parameter**: ensemble_legacy_ensemble
+| **Description**: Turn on ensemble legacy population output.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: legacy_yields
+| **Description**: Turn on ensemble legacy yield output.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+
+| **Parameter**: ensemble_defer
+| **Description**: Defer ensemble output.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: ensemble_dt
+| **Description**: When doing ensemble calculations, data are stored and/or output every ensemble_dt Myr. See also ensemble, ensemble_logdt, ensemble_startlogtime.
+| **Parameter input type**: Float
+| **Default value**: 1
+
+| **Parameter**: ensemble_logdt
+| **Description**: When doing ensemble calculations, and when logensembletimes is set, the ensemble is stored/output every ensemble_logdt Myr. See also ensemble, ensemble_dt, ensemble_startlogtime.
+| **Parameter input type**: Float
+| **Default value**: 0.1
+
+| **Parameter**: ensemble_startlogtime
+| **Description**: Start log ensemble data storage/calculations/output at ensemble_startlogtime. See also ensemble, ensemble_dt, ensemble_startlogtime.
+| **Parameter input type**: Float
+| **Default value**: 0.1
+
+| **Parameter**: ensemble_logtimes
+| **Description**: When doing ensemble calculations/output, set this to act at log times rather than linear times.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: postagb_legacy_logging
+| **Description**: Turn on post-AGB legacy logging.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: disc_legacy_logging
+| **Description**: Turn on disc legacy logging.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: EMP_logg_maximum
+| **Description**: Maximum logg that EMP stars are allowed to have. See Izzard et al 2009. See also CEMP_cfe_minimum, NEMP_nfe_minimum, EMP_minimum_age.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: EMP_minimum_age
+| **Description**: Minimum age that EMP stars are required to have. See Izzard et al 2009. See also CEMP_cfe_minimum, NEMP_nfe_minimum, EMP_logg_maximum.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: EMP_feh_maximum
+| **Description**: Maximum [Fe/H] that an EMP stars may have. See Izzard et al 2009. See also CEMP_cfe_minimum, NEMP_nfe_minimum, EMP_logg_maximum, EMP_minimum_age. Default -2.0.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: CEMP_cfe_minimum
+| **Description**: Minimum [C/Fe] that CEMP stars are required to have. See Izzard et al 2009. See also NEMP_cfe_minimum, EMP_logg_maximum, EMP_minimum_age. Default 0.7.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: NEMP_cfe_minimum
+| **Description**: Minimum [N/Fe] that NEMP stars are required to have. See Izzard et al 2009, Pols et al. 2012. See also CEMP_cfe_minimum, EMP_logg_maximum, EMP_minimum_age. Default 1.0.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: thick_disc_start_age
+| **Description**: Lookback time for the start of the thick disc star formation, e.g. 13e3 Myr. Units = Myr.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: thick_disc_end_age
+| **Description**: Lookback time for the end of the thick disc star formation, e.g. 4e3 Myr. Units = Myr.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: thick_disc_logg_min
+| **Description**: Minimum logg for thick disc giants to be logged.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: thick_disc_logg_max
+| **Description**: Maximum logg for thick disc giants to be logged.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: escape_velocity
+| **Description**: A parameter used in constructing galactic chemical evolution (GCE) models. If the stellar wind velocity exceeds this value, any chemical yield from the wind is ignored, i.e. assumed lost. (km/s) Requires NUCSYN_GCE_OUTFLOW_CHECKS. Default 1e9 km/s. See also escape_fraction.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: escape_fraction
+| **Description**: A parameter used in constructing galactic chemical evolution (GCE) models. If the stellar wind velocity exceeds this value, any chemical yield from the wind is ignored, i.e. assumed lost. (km/s) Requires NUCSYN_GCE_OUTFLOW_CHECKS. Default 0.0. See also escape_velocity.
+| **Parameter input type**: Float
+| **Default value**: NULL
+
+| **Parameter**: colour_log
+| **Description**: If set to True, thelog is coloured with ANSI colour formatting. Requires FILE_LOG to be defined.
+| **Parameter input type**: True|False
+| **Default value**: False
+| **Extra**:
+
+| **Parameter**: log_filename
+| **Description**: Location of the output logging filename. If set to "/dev/null" then there is no logging.
+| **Parameter input type**: String
+| **Default value**: /tmp/c_log.dat
+| **Extra**:
+
+| **Parameter**: stopfile
+| **Description**: File which, when it exists, will stop the current binary_c repeat run.
+| **Parameter input type**: String
+| **Default value**:
+| **Extra**:
+
+| **Parameter**: stardata_dump_filename
+| **Description**: Location of the stardata dump file.
+| **Parameter input type**: String
+| **Default value**:
+| **Extra**:
+
+| **Parameter**: stardata_load_filename
+| **Description**: Location of the stardata file to load.
+| **Parameter input type**: String
+| **Default value**:
+| **Extra**:
+
+| **Parameter**: api_log_filename_prefix
+| **Description**: Location of the output logging filename prefix for the API. If set to "/dev/null" then there is no logging.
+| **Parameter input type**: String
+| **Default value**:
+| **Extra**: 0
+
+| **Parameter**: hrdiag_output
+| **Description**: Set to True to output high time-resolution Hertzstrpung-Russell diagram information. Requires HRDIAG.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+
+| **Parameter**: internal_buffering
+| **Description**: Experimental. Set to non-zero values to implement internal buffering prior to output. For use with binary_grid, you shouldn't really be playing with this.
+| **Parameter input type**: Integer
+| **Default value**: 2
+| **Macros**: ['INTERNAL_BUFFERING_OFF = 0', 'INTERNAL_BUFFERING_PRINT = 1', 'INTERNAL_BUFFERING_STORE = 2']
+
+| **Parameter**: eccentric_RLOF_model
+| **Description**: Chooses which model is used to handle eccentric RLOF. Default is RLOF_ECCENTRIC_AS_CIRCULAR, i.e. ignore the eccentricity. Note: requires force_corotation_of_primary_and_orbit to be FALSE.
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: force_circularization_on_RLOF
+| **Description**: If True forces circularization of stars and orbit when RLOF starts, this is as in the BSE algorithm. (True)
+| **Parameter input type**: True|False
+| **Default value**: True
+
+| **Parameter**: wtts_log
+| **Description**: If True, enables log file output for WTTS2.
+| **Parameter input type**: True|False
+| **Default value**: False
+
+| **Parameter**: fabian_imf_log_time
+| **Description**: Time at which to output for Fabian Schneider's IMF project. Requires FABIAN_IMF_LOG
+| **Parameter input type**: Float
+| **Default value**: NULL
+| **Extra**: Ignore
+
+| **Parameter**: fabian_imf_log_timestep
+| **Description**: Timestep for Fabian Schneider's IMF project logging. Requires FABIAN_IMF_LOG
+| **Parameter input type**: Float
+| **Default value**: NULL
+| **Extra**: Ignore
+
+| **Parameter**: version
+| **Description**: Display binary_c version and build information. Also performs timing tests.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: Ignore
+
+| **Parameter**: dumpversion
+| **Description**: Display binary_c version number (short format).
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: Ignore
+
+| **Parameter**: version_only
+| **Description**: Display binary_c version number and build information, but do not perform timing tests or anything that requires stardata to be non-NULL.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: Ignore
+
+Section: input
+--------------
+
+| **Parameter**: MINT_dir
+| **Description**: Location of MINT algorithm data.
+| **Parameter input type**: String
+| **Default value**: NULL
+| **Extra**:
+
+| **Parameter**: MINT_data_cleanup
+| **Description**: Activate checks on incoming data to try to account for problems. Will make data-loading slower, but may fix a few things.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+| **Extra**:
+
+| **Parameter**: MINT_MS_rejuvenation
+| **Description**: Turn on or off (hydrogen) main-sequence rejuvenation.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+| **Extra**:
+
+| **Parameter**: MINT_remesh
+| **Description**: Turn on or off MINT's remeshing.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+| **Extra**:
+
+| **Parameter**: MINT_use_ZAMS_profiles
+| **Description**: Use chemical profiles at the ZAMS if MINT_use_ZAMS_profiles is TRUE, otherwise set homogeneous abundances. (Default is TRUE, so we use the profiles if they are available.)
+| **Parameter input type**: True|False
+| **Default value**: NULL
+| **Extra**:
+
+| **Parameter**: MINT_disable_grid_load_warnings
+| **Description**: Use this to explicitly disable MINT's warnings when loading a grid with, e.g., missing or too much data.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+| **Extra**:
+
+| **Parameter**: MINT_Kippenhahn
+| **Description**: Turn on or off MINT's Kippenhahn diagrams. If 0, off, if 1, output star 1 (index 0), if 2 output star 2 (index 1). Default 0.
+| **Parameter input type**: Integer
+| **Default value**: NULL
+| **Extra**:
+
+| **Parameter**: MINT_Kippenhahn_stellar_type
+| **Description**: Stellar type selector for Kippenhahn plots. Set to -1 to ignore, otherwise the stellar type number for which Kippenhahn plot data should be output.
+| **Parameter input type**: Integer
+| **Default value**: NULL
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15']
+| **Extra**:
+
+| **Parameter**: MINT_Kippenhahn_companion_stellar_type
+| **Description**: Companion stellar type selector for Kippenhahn plots. Set to -1 to ignore, otherwise the stellar type number for the companion for which Kippenhahn plot data should be output.
+| **Parameter input type**: Integer
+| **Default value**: NULL
+| **Macros**: ['LOW_MASS_MS = 0', 'MS = 1', 'HG = 2', 'GIANT_BRANCH = 3', 'CHeB = 4', 'EAGB = 5', 'TPAGB = 6', 'HeMS = 7', 'HeHG = 8', 'HeGB = 9', 'HeWD = 10', 'COWD = 11', 'ONeWD = 12', 'NS = 13', 'BH = 14', 'MASSLESS_REMNANT = 15']
+| **Extra**:
+
+| **Parameter**: MINT_nuclear_burning
+| **Description**: Turn on or off MINT's nuclear burning algorithm.
+| **Parameter input type**: True|False
+| **Default value**: NULL
+| **Extra**:
+
+| **Parameter**: MINT_minimum_shell_mass
+| **Description**: Minimum shell mass in MINT's nuclear burning routines.
+| **Parameter input type**: Float
+| **Default value**: NULL
+| **Extra**:
+
+| **Parameter**: MINT_maximum_shell_mass
+| **Description**: Maximum shell mass in MINT's nuclear burning routines. :
+| **Parameter input type**: Float
+| **Default value**: NULL
+| **Extra**:
+
+Section: i/o
+------------
+
+| **Parameter**: go
+| **Description**: batchmode control command
+| **Extra**: Ignore
+
+| **Parameter**: gogo
+| **Description**: batchmode control command
+| **Extra**: Ignore
+
+| **Parameter**: reset_stars
+| **Description**: Reset the star structures. Used in batchmode
+| **Extra**: Ignore
+
+| **Parameter**: reset_stars_defaults
+| **Description**: Reset the star structures and set defaults. Used in batchmode
+| **Extra**: Ignore
+
+| **Parameter**: defaults
+| **Description**: Reset all defaults. Used in batchmode
+| **Extra**: Ignore
+
+| **Parameter**: echo
+| **Description**: Activate batchmode command echoing, i.e. when you enter a command, binary_c repeats the command then executes it.
+| **Extra**: Ignore
+
+| **Parameter**: noecho
+| **Description**: Deactivate batchmode command echoing. See 'echo'.
+| **Extra**: Ignore
+
+| **Parameter**: noechonow
+| **Description**: Deactivate batchmode command echoing. See 'echo'.
+| **Extra**: Ignore
+
+| **Parameter**: bye
+| **Description**: Quit binary_c. Used in batchmode.
+| **Extra**: Ignore
+
+| **Parameter**: fin
+| **Description**: batchmode control command
+| **Extra**: Ignore
+
+| **Parameter**: reset_prefs
+| **Description**: Reset preferences struct. Used in batchmode
+| **Extra**: Ignore
+
+| **Parameter**: status
+| **Description**: Output batchmode status information.
+| **Extra**: Ignore
+
+Section: algorithms
+-------------------
+
+| **Parameter**: repeat
+| **Description**: If > 1, repeats the system as many times as required. Handy if you're using Monte-Carlo kicks and want to sample the parameter space well. Also, if you are running speed tests this is good to give a statistically more reasonable result. (See e.g. 'tbse pgo').
+| **Parameter input type**: Integer
+| **Default value**: 1
+
+| **Parameter**: random_systems
+| **Description**: Experimental. Use this to apply random initial system parameters (masses, separations, etc.). Useful for testing only.
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+Section: misc
+-------------
+
+| **Parameter**: random_seed
+| **Description**: Random number seed, usually a (possibly negative) integer. Useful for exactly reproducing the evolution of a system which involves a kick (which is a Monte-Carlo, i.e. pseudorandom, process).
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: random_systems_seed
+| **Description**: Random number seed for the generation of random systems. See random_systems and random_seed.
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: random_skip
+| **Description**: Skip the first <random_seed> random numbers that are generated. Usually this is 0 so they are all used.
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: idum
+| **Description**: [NB: deprecated, please use 'random_seed' instead.] Random number seed, usually a (possibly negative) integer. Useful for exactly reproducing the evolution of a system which involves a kick (which is a Monte-Carlo, i.e. pseudorandom, process).
+| **Parameter input type**: Integer
+| **Default value**: 0
+
+| **Parameter**: reverse_time
+| **Description**: Make time go backwards. To be considered very experimental!
+| **Parameter input type**: True|False
+| **Default value**: NULL
+
+| **Parameter**: start_time
+| **Description**: Start time for the simulation.
+| **Parameter input type**: Float
+| **Default value**: 0
+
+| **Parameter**: warmup_cpu
+| **Description**: Uses the CPU at maximum power the given number of seconds, prior to running normal stellar evolution.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: Ignore
+
+| **Parameter**: help
+| **Description**: Display help pages. Usage: --help <help topic>.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: Ignore
+
+| **Parameter**: argopts
+| **Description**: Display argument options. Usage: --argopts <argument>.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: Ignore
+
+| **Parameter**: help_all
+| **Description**: Display all help pages.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: Ignore
+
+| **Parameter**: list_args
+| **Description**: Display list of arguments with their default values. Useful for batchmode.
+| **Parameter input type**: *
+| **Default value**: NULL
+| **Extra**: Ignore
+
diff --git a/docs/build/html/_sources/custom_logging_functions.rst.txt b/docs/build/html/_sources/custom_logging_functions.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e382d4320eb4ab1546f534724b45368c7e2319a4
--- /dev/null
+++ b/docs/build/html/_sources/custom_logging_functions.rst.txt
@@ -0,0 +1,7 @@
+custom\_logging\_functions module
+=================================
+
+.. automodule:: binarycpython.utils.custom_logging_functions
+ :members:
+ :undoc-members:
+ :show-inheritance:
diff --git a/docs/build/html/_sources/distribution_functions.rst.txt b/docs/build/html/_sources/distribution_functions.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5881ee38299d5af76771ac7312abd140886f99d1
--- /dev/null
+++ b/docs/build/html/_sources/distribution_functions.rst.txt
@@ -0,0 +1,7 @@
+distribution_functions module
+=================================
+
+.. automodule:: binarycpython.utils.distribution_functions
+ :members:
+ :undoc-members:
+ :show-inheritance:
\ No newline at end of file
diff --git a/docs/build/html/_sources/examples.rst.txt b/docs/build/html/_sources/examples.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ab58720d9b5a670eb13d8468daa687e72ab86e52
--- /dev/null
+++ b/docs/build/html/_sources/examples.rst.txt
@@ -0,0 +1,9 @@
+Examples
+========
+This chapter contains the source code of example scripts which show the way of using certain functions
+
+.. toctree::
+ :hidden:
+
+ general_examples
+ population_example
\ No newline at end of file
diff --git a/docs/build/html/_sources/functions.rst.txt b/docs/build/html/_sources/functions.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e675cc8780c7725f698119fab7237b4adcfb8e52
--- /dev/null
+++ b/docs/build/html/_sources/functions.rst.txt
@@ -0,0 +1,7 @@
+functions module
+================
+
+.. automodule:: binarycpython.utils.functions
+ :members:
+ :undoc-members:
+ :show-inheritance:
diff --git a/docs/build/html/_sources/general_examples.rst.txt b/docs/build/html/_sources/general_examples.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8509de5b72faf82bc026ed2b785b2d72b4ccc702
--- /dev/null
+++ b/docs/build/html/_sources/general_examples.rst.txt
@@ -0,0 +1,7 @@
+Examples
+========
+The source code of the general examples.
+
+.. literalinclude:: ../../examples/examples.py
+ :language: python
+ :linenos:
\ No newline at end of file
diff --git a/docs/build/html/_sources/grid.rst.txt b/docs/build/html/_sources/grid.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5f3347e6f42616884c86dffc98baf5da3bc8ea03
--- /dev/null
+++ b/docs/build/html/_sources/grid.rst.txt
@@ -0,0 +1,7 @@
+grid\_class module
+=================================
+
+.. automodule:: binarycpython.utils.grid
+ :members:
+ :undoc-members:
+ :show-inheritance:
\ No newline at end of file
diff --git a/docs/build/html/_sources/grid_options_defaults.rst.txt b/docs/build/html/_sources/grid_options_defaults.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c66555ac9989dff3ad956f893683dc34c4dc4c46
--- /dev/null
+++ b/docs/build/html/_sources/grid_options_defaults.rst.txt
@@ -0,0 +1,7 @@
+Grid options and descriptions
+=============================
+
+.. automodule:: binarycpython.utils.grid_options_defaults
+ :members:
+ :undoc-members:
+ :show-inheritance:
\ No newline at end of file
diff --git a/docs/build/html/_sources/grid_options_descriptions.rst.txt b/docs/build/html/_sources/grid_options_descriptions.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5a77792e1c16a5d29844979038458f27e145a08d
--- /dev/null
+++ b/docs/build/html/_sources/grid_options_descriptions.rst.txt
@@ -0,0 +1,200 @@
+Population grid code options
+============================
+The following chapter contains all grid code options, along with their descriptions
+There are 1 options that are not described yet.
+
+
+Public options
+--------------
+The following options are meant to be changed by the user.
+
+
+| **C_auto_logging**: Dictionary containing parameters to be logged by binary_c. The structure of this dictionary is as follows: the key is used as the headline which the user can then catch. The value at that key is a list of binary_c system parameters (like star[0].mass)
+
+| **C_logging_code**: Variable to store the exact code that is used for the custom_logging. In this way the user can do more complex logging, as well as putting these logging strings in files.
+
+| **amt_cores**: The amount of cores that the population grid will use. The multiprocessing is useful but make sure to figure out how many logical cores the machine has. The core is multiprocessed, not multithreaded, and will gain no extra speed when amt_cores exceeds the amount of logical cores. Input: int
+
+| **combine_ensemble_with_thread_joining**: BOolean flag on whether to combine everything and return it to the user or if false: write it to data_dir/ensemble_output_{popuation_id}_{thread_id}.json
+
+| **condor**: Int flag whether to use a condor type population evolution. Not implemented yet.
+
+| **custom_logging_func_memaddr**: Memory adress where the custom_logging_function is stored. Input: int
+
+| **ensemble_factor_in_probability_weighted_mass**: Flag to multiply all the ensemble results with 1/probability_weighted_mass
+
+| **evolution_type**: Variable containing the type of evolution used of the grid. Multiprocessing or linear processing
+
+| **failed_systems_threshold**: Variable storing the maximum amount of systems that are allowed to fail before logging their commandline arguments to failed_systems log files
+
+| **gridcode_filename**: Filename for the grid code. Set and used by the population object. TODO: allow the user to provide their own function, rather than only a generated function.
+
+| **log_args**: Boolean to log the arguments. Unused
+
+| **log_args_dir**: Directory to log the arguments to. Unused
+
+| **log_file**: Log file for the population object. Unused
+
+| **log_runtime_systems**: Whether to log the runtime of the systems . Each systems run by the thread is logged to a file and is stored in the tmp_dir. (1 file per thread). Don't use this if you are planning to run alot of systems. This is mostly for debugging and finding systems that take long to run. Integer, default = 0. if value is 1 then the systems are logged
+
+| **m&s_options**: Internal variable that holds the M&S options. Don't write to this your self
+
+| **max_queue_size**: Maximum size of the queue that is used to feed the processes. Don't make this too big! Default: 1000. Input: int
+
+| **modulo**: No description available yet
+
+| **multiplicity_fraction_function**: Which multiplicity fraction function to use. 0: None, 1: Arenou 2010, 2: Rhagavan 2010, 3: M&S 2017
+
+| **parse_function**: Function that the user can provide to handle the output the binary_c. This function has to take the arguments (self, output). Its best not to return anything in this function, and just store stuff in the grid_options['results'] dictionary, or just output results to a file
+
+| **repeat**: Factor of how many times a system should be repeated. Consider the evolution splitting binary_c argument for supernovae kick repeating.
+
+| **run_zero_probability_system**: Whether to run the zero probability systems. Default: True. Input: boolean
+
+| **slurm**: Int flag whether to use a slurm type population evolution.
+
+| **source_file_filename**: Variable containing the source file containing lines of binary_c commandline calls. These all have to start with binary_c.
+
+| **tmp_dir**: Directory where certain types of output are stored. The grid code is stored in that directory, as well as the custom logging libraries. Log files and other diagnostics will usually be written to this location, unless specified otherwise
+
+| **verbosity**: Verbosity of the population code. Default is 0, by which only errors will be printed. Higher values will show more output, which is good for debugging.
+
+| **weight**: Weight factor for each system. The calculated probability is mulitplied by this. If the user wants each system to be repeated several times, then this variable should not be changed, rather change the _repeat variable instead, as that handles the reduction in probability per system. This is useful for systems that have a process with some random element in it.
+
+Moe & Distefano sampler options
+-------------------------------
+The following options are meant to be changed by the user.
+
+
+| **Mmin**: Minimum stellar mass
+
+| **multiplicity_model**:
+ multiplicity model (as a function of log10M1)
+
+ You can use 'Poisson' which uses the system multiplicty
+ given by Moe and maps this to single/binary/triple/quad
+ fractions.
+
+ Alternatively, 'data' takes the fractions directly
+ from the data, but then triples and quadruples are
+ combined (and there are NO quadruples).
+
+
+| **multiplicity_modulator**:
+ [single, binary, triple, quadruple]
+
+ e.g. [1,0,0,0] for single stars only
+ [0,1,0,0] for binary stars only
+
+ defaults to [1,1,0,0] i.e. singles and binaries
+
+
+| **normalize_multiplicities**:
+ 'norm': normalize so the whole population is 1.0
+ after implementing the appropriate fractions
+ S/(S+B+T+Q), B/(S+B+T+Q), T/(S+B+T+Q), Q/(S+B+T+Q)
+ given a mix of multiplities, you can either (noting that
+ here (S,B,T,Q) = appropriate modulator * model(S,B,T,Q) )
+ note: if you only set one multiplicity_modulator
+ to 1, and all the others to 0, then normalizing
+ will mean that you effectively have the same number
+ of stars as single, binary, triple or quad (whichever
+ is non-zero) i.e. the multiplicity fraction is ignored.
+ This is probably not useful except for
+ testing purposes or comparing to old grids.
+
+ 'raw' : stick to what is predicted, i.e.
+ S/(S+B+T+Q), B/(S+B+T+Q), T/(S+B+T+Q), Q/(S+B+T+Q)
+ without normalization
+ (in which case the total probability < 1.0 unless
+ all you use single, binary, triple and quadruple)
+
+ 'merge' : e.g. if you only have single and binary,
+ add the triples and quadruples to the binaries, so
+ binaries represent all multiple systems
+ ...
+ *** this is canonical binary population synthesis ***
+
+ It only takes the maximum multiplicity into account,
+ i.e. it doesn't multiply the resulting array by the multiplicity modulator again.
+ This prevents the resulting array to always be 1 if only 1 multiplicity modulator element is nonzero
+
+ Note: if multiplicity_modulator == [1,1,1,1]. this option does nothing (equivalent to 'raw').
+
+
+| **q_high_extrapolation_method**: Same as q_low_extrapolation_method
+
+| **q_low_extrapolation_method**:
+ q extrapolation (below 0.15) method
+ none
+ flat
+ linear2
+ plaw2
+ nolowq
+
+
+| **ranges**:
+
+| **resolutions**:
+
+Private options
+---------------
+The following options are not meant to be changed by the user, as these options are used and set internally by the object itself. The description still is provided, but just for documentation purposes.
+
+
+| **_actually_evolve_system**: Whether to actually evolve the systems of just act as if. for testing. used in _process_run_population_grid
+
+| **_binary_c_config_executable**: Full path of the binary_c-config executable. This options is not used in the population object.
+
+| **_binary_c_dir**: Director where binary_c is stored. This options are not really used
+
+| **_binary_c_executable**: Full path to the binary_c executable. This options is not used in the population object.
+
+| **_binary_c_shared_library**: Full path to the libbinary_c file. This options is not used in the population object
+
+| **_commandline_input**: String containing the arguments passed to the population object via the command line. Set and used by the population object.
+
+| **_count**: Counter tracking which system the generator is on.
+
+| **_custom_logging_shared_library_file**: filename for the custom_logging shared library. Used and set by the population object
+
+| **_end_time_evolution**: Variable storing the end timestamp of the population evolution. Set by the object itself
+
+| **_errors_exceeded**: Variable storing a boolean flag whether the amount of errors was higher than the set threshold (failed_systems_threshold). If True, then the commandline arguments of the failing systems will not be stored in the failed_system_log files.
+
+| **_errors_found**: Variable storing a boolean flag whether errors by binary_c are encountered.
+
+| **_evolution_type_options**: List containing the evolution type options.
+
+| **_failed_count**: Variable storing the amount of failed systems.
+
+| **_failed_prob**: Variable storing the total probability of all the failed systems
+
+| **_failed_systems_error_codes**: List storing the unique error codes raised by binary_c of the failed systems
+
+| **_grid_variables**: Dictionary storing the grid_variables. These contain properties which are accessed by the _generate_grid_code function
+
+| **_loaded_ms_data**: Internal variable storing whether the M&S data has been loaded into memory
+
+| **_main_pid**: Main process ID of the master process. Used and set by the population object.
+
+| **_population_id**: Variable storing a unique 32-char hex string.
+
+| **_probtot**: Total probability of the population.
+
+| **_set_ms_grid**: Internal flag whether the M&S grid has been loaded
+
+| **_start_time_evolution**: Variable storing the start timestamp of the population evolution. Set by the object itself.
+
+| **_store_memaddr**: Memory adress of the store object for binary_c.
+
+| **_system_generator**: Function object that contains the system generator function. This can be from a grid, or a source file, or a montecarlo grid.
+
+| **_total_mass_run**: To count the total mass that thread/process has ran
+
+| **_total_probability_weighted_mass_run**: To count the total mass * probability for each system that thread/process has ran
+
+| **_total_starcount**: Variable storing the total amount of systems in the generator. Used and set by the population object.
+
+| **_zero_prob_stars_skipped**: Internal counter to track how many systems are skipped because they have 0 probability
+
diff --git a/docs/build/html/_sources/hpc_functions.rst.txt b/docs/build/html/_sources/hpc_functions.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d336a0be090ee3eac23c4342286fe8895e0aea6f
--- /dev/null
+++ b/docs/build/html/_sources/hpc_functions.rst.txt
@@ -0,0 +1,7 @@
+hpc\_functions module
+=================================
+
+.. automodule:: binarycpython.utils.hpc_functions
+ :members:
+ :undoc-members:
+ :show-inheritance:
\ No newline at end of file
diff --git a/docs/build/html/_sources/index.rst.txt b/docs/build/html/_sources/index.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b07d6ec3c6040192693d6609004c48afc362d124
--- /dev/null
+++ b/docs/build/html/_sources/index.rst.txt
@@ -0,0 +1,29 @@
+.. binary_c-python documentation master file, created by
+ sphinx-quickstart on Wed Nov 13 11:43:40 2019.
+ You can adapt this file completely to your liking, but it should at least
+ contain the root `toctree` directive.
+
+Welcome to binary_c-python's documentation!
+===========================================
+.. mdinclude:: ../../README.md
+
+
+.. toctree::
+ :maxdepth: 2
+ :caption: Contents:
+
+ readme_link
+ modules
+ examples
+ binary_c_parameters
+ grid_options_descriptions
+ Visit the GitLab repo <https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python>
+ Submit an issue <https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/issues/new>
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
+
diff --git a/docs/build/html/_sources/modules.rst.txt b/docs/build/html/_sources/modules.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d4aaac5025cbb089f2754ed01ef8bd92f70bf81c
--- /dev/null
+++ b/docs/build/html/_sources/modules.rst.txt
@@ -0,0 +1,18 @@
+Binarycpython code
+===================
+This chapter contains the (auto)documentation for all the functions and modules in the source code of binarycpython
+
+.. toctree::
+ :maxdepth: 4
+
+ custom_logging_functions
+ distribution_functions
+ functions
+ grid
+ grid_options_defaults
+ hpc_functions
+ plot_functions
+ run_system_wrapper
+ spacing_functions
+ stellar_types
+ useful_funcs
\ No newline at end of file
diff --git a/docs/build/html/_sources/plot_functions.rst.txt b/docs/build/html/_sources/plot_functions.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6af374e53223ea93532fcd50ced89130f6f917d7
--- /dev/null
+++ b/docs/build/html/_sources/plot_functions.rst.txt
@@ -0,0 +1,7 @@
+plot\_functions module
+=================================
+
+.. automodule:: binarycpython.utils.plot_functions
+ :members:
+ :undoc-members:
+ :show-inheritance:
\ No newline at end of file
diff --git a/docs/build/html/_sources/population_example.rst.txt b/docs/build/html/_sources/population_example.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..192372d019133d818c4ba6ad207c5dc09989de62
--- /dev/null
+++ b/docs/build/html/_sources/population_example.rst.txt
@@ -0,0 +1,7 @@
+Example of population script
+============================
+The source code of a script to run a population of stars.
+
+.. literalinclude:: ../../examples/example_population.py
+ :language: python
+ :linenos:
\ No newline at end of file
diff --git a/docs/build/html/_sources/readme_link.rst.txt b/docs/build/html/_sources/readme_link.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3bd447c431e4695451c11a92ad57b5829d9059af
--- /dev/null
+++ b/docs/build/html/_sources/readme_link.rst.txt
@@ -0,0 +1 @@
+.. mdinclude:: ../../README.md
diff --git a/docs/build/html/_sources/run_system_wrapper.rst.txt b/docs/build/html/_sources/run_system_wrapper.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..388b6878c2394eed9020aa4e3a48a9d531287ff2
--- /dev/null
+++ b/docs/build/html/_sources/run_system_wrapper.rst.txt
@@ -0,0 +1,7 @@
+run\_system\_wrapper module
+=================================
+
+.. automodule:: binarycpython.utils.run_system_wrapper
+ :members:
+ :undoc-members:
+ :show-inheritance:
\ No newline at end of file
diff --git a/docs/build/html/_sources/spacing_functions.rst.txt b/docs/build/html/_sources/spacing_functions.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..be0cf254dd52aafbde7404c588be65abcc46493e
--- /dev/null
+++ b/docs/build/html/_sources/spacing_functions.rst.txt
@@ -0,0 +1,7 @@
+spacing\_functions module
+=================================
+
+.. automodule:: binarycpython.utils.spacing_functions
+ :members:
+ :undoc-members:
+ :show-inheritance:
\ No newline at end of file
diff --git a/docs/build/html/_sources/stellar_types.rst.txt b/docs/build/html/_sources/stellar_types.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1254b3d55209d3450c07013224ca39e2866941d5
--- /dev/null
+++ b/docs/build/html/_sources/stellar_types.rst.txt
@@ -0,0 +1,7 @@
+stellar\_types module
+=====================
+
+.. automodule:: binarycpython.utils.stellar_types
+ :members:
+ :undoc-members:
+ :show-inheritance:
diff --git a/docs/build/html/_sources/useful_funcs.rst.txt b/docs/build/html/_sources/useful_funcs.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2b8b9d26a6b16af7bd581a2d3a42fc746da039a3
--- /dev/null
+++ b/docs/build/html/_sources/useful_funcs.rst.txt
@@ -0,0 +1,7 @@
+useful\_funcs module
+=================================
+
+.. automodule:: binarycpython.utils.useful_funcs
+ :members:
+ :undoc-members:
+ :show-inheritance:
\ No newline at end of file
diff --git a/docs/build/html/_static/basic.css b/docs/build/html/_static/basic.css
new file mode 100644
index 0000000000000000000000000000000000000000..24a49f09b5a52dc32775ed946bcceca8156e7439
--- /dev/null
+++ b/docs/build/html/_static/basic.css
@@ -0,0 +1,856 @@
+/*
+ * basic.css
+ * ~~~~~~~~~
+ *
+ * Sphinx stylesheet -- basic theme.
+ *
+ * :copyright: Copyright 2007-2020 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+ clear: both;
+}
+
+div.section::after {
+ display: block;
+ content: '';
+ clear: left;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+ width: 100%;
+ font-size: 90%;
+}
+
+div.related h3 {
+ display: none;
+}
+
+div.related ul {
+ margin: 0;
+ padding: 0 0 0 10px;
+ list-style: none;
+}
+
+div.related li {
+ display: inline;
+}
+
+div.related li.right {
+ float: right;
+ margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+ padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+ float: left;
+ width: 230px;
+ margin-left: -100%;
+ font-size: 90%;
+ word-wrap: break-word;
+ overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+ list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+ margin-left: 20px;
+ list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+ margin-top: 0;
+ margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+ margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+ border: 1px solid #98dbcc;
+ font-family: sans-serif;
+ font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+ overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+ float: left;
+ width: 80%;
+ padding: 0.25em;
+ box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+ float: left;
+ width: 20%;
+ border-left: none;
+ padding: 0.25em;
+ box-sizing: border-box;
+}
+
+
+img {
+ border: 0;
+ max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+ margin: 10px 0 0 20px;
+ padding: 0;
+}
+
+ul.search li {
+ padding: 5px 0 5px 20px;
+ background-image: url(file.png);
+ background-repeat: no-repeat;
+ background-position: 0 7px;
+}
+
+ul.search li a {
+ font-weight: bold;
+}
+
+ul.search li div.context {
+ color: #888;
+ margin: 2px 0 0 30px;
+ text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+ font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+ width: 90%;
+ margin-left: auto;
+ margin-right: auto;
+}
+
+table.contentstable p.biglink {
+ line-height: 150%;
+}
+
+a.biglink {
+ font-size: 1.3em;
+}
+
+span.linkdescr {
+ font-style: italic;
+ padding-top: 5px;
+ font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+ width: 100%;
+}
+
+table.indextable td {
+ text-align: left;
+ vertical-align: top;
+}
+
+table.indextable ul {
+ margin-top: 0;
+ margin-bottom: 0;
+ list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+ padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+ height: 10px;
+}
+
+table.indextable tr.cap {
+ margin-top: 10px;
+ background-color: #f2f2f2;
+}
+
+img.toggler {
+ margin-right: 3px;
+ margin-top: 3px;
+ cursor: pointer;
+}
+
+div.modindex-jumpbox {
+ border-top: 1px solid #ddd;
+ border-bottom: 1px solid #ddd;
+ margin: 1em 0 1em 0;
+ padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+ border-top: 1px solid #ddd;
+ border-bottom: 1px solid #ddd;
+ margin: 1em 0 1em 0;
+ padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+ padding: 2px;
+ border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+ min-width: 450px;
+ max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+ -moz-hyphens: auto;
+ -ms-hyphens: auto;
+ -webkit-hyphens: auto;
+ hyphens: auto;
+}
+
+a.headerlink {
+ visibility: hidden;
+}
+
+a.brackets:before,
+span.brackets > a:before{
+ content: "[";
+}
+
+a.brackets:after,
+span.brackets > a:after {
+ content: "]";
+}
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+ visibility: visible;
+}
+
+div.body p.caption {
+ text-align: inherit;
+}
+
+div.body td {
+ text-align: left;
+}
+
+.first {
+ margin-top: 0 !important;
+}
+
+p.rubric {
+ margin-top: 30px;
+ font-weight: bold;
+}
+
+img.align-left, .figure.align-left, object.align-left {
+ clear: left;
+ float: left;
+ margin-right: 1em;
+}
+
+img.align-right, .figure.align-right, object.align-right {
+ clear: right;
+ float: right;
+ margin-left: 1em;
+}
+
+img.align-center, .figure.align-center, object.align-center {
+ display: block;
+ margin-left: auto;
+ margin-right: auto;
+}
+
+img.align-default, .figure.align-default {
+ display: block;
+ margin-left: auto;
+ margin-right: auto;
+}
+
+.align-left {
+ text-align: left;
+}
+
+.align-center {
+ text-align: center;
+}
+
+.align-default {
+ text-align: center;
+}
+
+.align-right {
+ text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar {
+ margin: 0 0 0.5em 1em;
+ border: 1px solid #ddb;
+ padding: 7px;
+ background-color: #ffe;
+ width: 40%;
+ float: right;
+ clear: right;
+ overflow-x: auto;
+}
+
+p.sidebar-title {
+ font-weight: bold;
+}
+
+div.admonition, div.topic, blockquote {
+ clear: left;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+
+div.topic {
+ border: 1px solid #ccc;
+ padding: 7px;
+ margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+ font-size: 1.1em;
+ font-weight: bold;
+ margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+ margin-top: 10px;
+ margin-bottom: 10px;
+ padding: 7px;
+}
+
+div.admonition dt {
+ font-weight: bold;
+}
+
+p.admonition-title {
+ margin: 0px 10px 5px 0px;
+ font-weight: bold;
+}
+
+div.body p.centered {
+ text-align: center;
+ margin-top: 25px;
+}
+
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+div.topic > :last-child,
+div.admonition > :last-child {
+ margin-bottom: 0;
+}
+
+div.sidebar::after,
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+ display: block;
+ content: '';
+ clear: both;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+ margin-top: 10px;
+ margin-bottom: 10px;
+ border: 0;
+ border-collapse: collapse;
+}
+
+table.align-center {
+ margin-left: auto;
+ margin-right: auto;
+}
+
+table.align-default {
+ margin-left: auto;
+ margin-right: auto;
+}
+
+table caption span.caption-number {
+ font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
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+ padding: 1px 8px 1px 5px;
+ border-top: 0;
+ border-left: 0;
+ border-right: 0;
+ border-bottom: 1px solid #aaa;
+}
+
+table.footnote td, table.footnote th {
+ border: 0 !important;
+}
+
+th {
+ text-align: left;
+ padding-right: 5px;
+}
+
+table.citation {
+ border-left: solid 1px gray;
+ margin-left: 1px;
+}
+
+table.citation td {
+ border-bottom: none;
+}
+
+th > :first-child,
+td > :first-child {
+ margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+ margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure {
+ margin: 0.5em;
+ padding: 0.5em;
+}
+
+div.figure p.caption {
+ padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number {
+ font-style: italic;
+}
+
+div.figure p.caption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+ border: 0 !important;
+}
+
+.field-list ul {
+ margin: 0;
+ padding-left: 1em;
+}
+
+.field-list p {
+ margin: 0;
+}
+
+.field-name {
+ -moz-hyphens: manual;
+ -ms-hyphens: manual;
+ -webkit-hyphens: manual;
+ hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+ margin: 1em 0;
+}
+
+table.hlist td {
+ vertical-align: top;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+ list-style: decimal;
+}
+
+ol.loweralpha {
+ list-style: lower-alpha;
+}
+
+ol.upperalpha {
+ list-style: upper-alpha;
+}
+
+ol.lowerroman {
+ list-style: lower-roman;
+}
+
+ol.upperroman {
+ list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+ margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+ margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+ margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+ margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+ margin-bottom: 0;
+}
+
+dl.footnote > dt,
+dl.citation > dt {
+ float: left;
+ margin-right: 0.5em;
+}
+
+dl.footnote > dd,
+dl.citation > dd {
+ margin-bottom: 0em;
+}
+
+dl.footnote > dd:after,
+dl.citation > dd:after {
+ content: "";
+ clear: both;
+}
+
+dl.field-list {
+ display: grid;
+ grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+ font-weight: bold;
+ word-break: break-word;
+ padding-left: 0.5em;
+ padding-right: 5px;
+}
+
+dl.field-list > dt:after {
+ content: ":";
+}
+
+dl.field-list > dd {
+ padding-left: 0.5em;
+ margin-top: 0em;
+ margin-left: 0em;
+ margin-bottom: 0em;
+}
+
+dl {
+ margin-bottom: 15px;
+}
+
+dd > :first-child {
+ margin-top: 0px;
+}
+
+dd ul, dd table {
+ margin-bottom: 10px;
+}
+
+dd {
+ margin-top: 3px;
+ margin-bottom: 10px;
+ margin-left: 30px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+ margin-bottom: 0;
+}
+
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+ background-color: #fbe54e;
+}
+
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+ fill: #fbe54e;
+}
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+ font-weight: bold;
+ font-size: 1.1em;
+}
+
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+ font-size: 1.3em;
+}
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+ font-size: larger;
+}
+
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+ font-style: italic;
+}
+
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+ background-color: #fda;
+ padding: 5px;
+ border: 3px solid red;
+}
+
+.footnote:target {
+ background-color: #ffa;
+}
+
+.line-block {
+ display: block;
+ margin-top: 1em;
+ margin-bottom: 1em;
+}
+
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+ margin-top: 0;
+ margin-bottom: 0;
+ margin-left: 1.5em;
+}
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+ font-family: sans-serif;
+}
+
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+}
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+ font-style: oblique;
+}
+
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+ font-style: normal;
+ margin: 0.5em;
+ content: ":";
+}
+
+abbr, acronym {
+ border-bottom: dotted 1px;
+ cursor: help;
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+ overflow: auto;
+ overflow-y: hidden; /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+ clear: both;
+}
+
+span.pre {
+ -moz-hyphens: none;
+ -ms-hyphens: none;
+ -webkit-hyphens: none;
+ hyphens: none;
+}
+
+div[class*="highlight-"] {
+ margin: 1em 0;
+}
+
+td.linenos pre {
+ border: 0;
+ background-color: transparent;
+ color: #aaa;
+}
+
+table.highlighttable {
+ display: block;
+}
+
+table.highlighttable tbody {
+ display: block;
+}
+
+table.highlighttable tr {
+ display: flex;
+}
+
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+ margin: 0;
+ padding: 0;
+}
+
+table.highlighttable td.linenos {
+ padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+ flex: 1;
+ overflow: hidden;
+}
+
+.highlight .hll {
+ display: block;
+}
+
+div.highlight pre,
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+ margin: 0;
+}
+
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+}
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+ padding: 2px 5px;
+ font-size: small;
+}
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+div.code-block-caption code {
+ background-color: transparent;
+}
+
+table.highlighttable td.linenos,
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+ user-select: none;
+}
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+div.code-block-caption span.caption-number {
+ padding: 0.1em 0.3em;
+ font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
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+ margin: 1em 0;
+}
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+ font-weight: bold;
+ font-size: 1.2em;
+}
+
+code.descclassname {
+ background-color: transparent;
+}
+
+code.xref, a code {
+ background-color: transparent;
+ font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+ background-color: transparent;
+}
+
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+ float: right;
+}
+
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+ float: right;
+ font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+ margin: -1px -10px;
+ padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+ vertical-align: middle;
+}
+
+div.body div.math p {
+ text-align: center;
+}
+
+span.eqno {
+ float: right;
+}
+
+span.eqno a.headerlink {
+ position: absolute;
+ z-index: 1;
+}
+
+div.math:hover a.headerlink {
+ visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+ div.document,
+ div.documentwrapper,
+ div.bodywrapper {
+ margin: 0 !important;
+ width: 100%;
+ }
+
+ div.sphinxsidebar,
+ div.related,
+ div.footer,
+ #top-link {
+ display: none;
+ }
+}
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+ <rect width="99" height="20" rx="3" fill="#fff"/>
+ </mask>
+ <g mask="url(#a)">
+ <path fill="#555" d="M0 0h63v20H0z"/>
+ <path fill="#e05d44" d="M63 0h36v20H63z"/>
+ <path fill="url(#b)" d="M0 0h99v20H0z"/>
+ </g>
+ <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="11">
+ <text x="31.5" y="15" fill="#010101" fill-opacity=".3">coverage</text>
+ <text x="31.5" y="14">coverage</text>
+ <text x="80" y="15" fill="#010101" fill-opacity=".3">5%</text>
+ <text x="80" y="14">5%</text>
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+</svg>
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diff --git a/docs/build/html/_static/doctools.js b/docs/build/html/_static/doctools.js
new file mode 100644
index 0000000000000000000000000000000000000000..7d88f807dc9ad9d1b5a320f2e27daa2f5196d875
--- /dev/null
+++ b/docs/build/html/_static/doctools.js
@@ -0,0 +1,316 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for all documentation.
+ *
+ * :copyright: Copyright 2007-2020 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+/**
+ * make the code below compatible with browsers without
+ * an installed firebug like debugger
+if (!window.console || !console.firebug) {
+ var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
+ "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
+ "profile", "profileEnd"];
+ window.console = {};
+ for (var i = 0; i < names.length; ++i)
+ window.console[names[i]] = function() {};
+}
+ */
+
+/**
+ * small helper function to urldecode strings
+ */
+jQuery.urldecode = function(x) {
+ return decodeURIComponent(x).replace(/\+/g, ' ');
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+ if (typeof s === 'undefined')
+ s = document.location.search;
+ var parts = s.substr(s.indexOf('?') + 1).split('&');
+ var result = {};
+ for (var i = 0; i < parts.length; i++) {
+ var tmp = parts[i].split('=', 2);
+ var key = jQuery.urldecode(tmp[0]);
+ var value = jQuery.urldecode(tmp[1]);
+ if (key in result)
+ result[key].push(value);
+ else
+ result[key] = [value];
+ }
+ return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+ function highlight(node, addItems) {
+ if (node.nodeType === 3) {
+ var val = node.nodeValue;
+ var pos = val.toLowerCase().indexOf(text);
+ if (pos >= 0 &&
+ !jQuery(node.parentNode).hasClass(className) &&
+ !jQuery(node.parentNode).hasClass("nohighlight")) {
+ var span;
+ var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+ if (isInSVG) {
+ span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+ } else {
+ span = document.createElement("span");
+ span.className = className;
+ }
+ span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+ node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+ document.createTextNode(val.substr(pos + text.length)),
+ node.nextSibling));
+ node.nodeValue = val.substr(0, pos);
+ if (isInSVG) {
+ var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+ var bbox = node.parentElement.getBBox();
+ rect.x.baseVal.value = bbox.x;
+ rect.y.baseVal.value = bbox.y;
+ rect.width.baseVal.value = bbox.width;
+ rect.height.baseVal.value = bbox.height;
+ rect.setAttribute('class', className);
+ addItems.push({
+ "parent": node.parentNode,
+ "target": rect});
+ }
+ }
+ }
+ else if (!jQuery(node).is("button, select, textarea")) {
+ jQuery.each(node.childNodes, function() {
+ highlight(this, addItems);
+ });
+ }
+ }
+ var addItems = [];
+ var result = this.each(function() {
+ highlight(this, addItems);
+ });
+ for (var i = 0; i < addItems.length; ++i) {
+ jQuery(addItems[i].parent).before(addItems[i].target);
+ }
+ return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+ jQuery.uaMatch = function(ua) {
+ ua = ua.toLowerCase();
+
+ var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+ /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+ /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+ /(msie) ([\w.]+)/.exec(ua) ||
+ ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+ [];
+
+ return {
+ browser: match[ 1 ] || "",
+ version: match[ 2 ] || "0"
+ };
+ };
+ jQuery.browser = {};
+ jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+var Documentation = {
+
+ init : function() {
+ this.fixFirefoxAnchorBug();
+ this.highlightSearchWords();
+ this.initIndexTable();
+ if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) {
+ this.initOnKeyListeners();
+ }
+ },
+
+ /**
+ * i18n support
+ */
+ TRANSLATIONS : {},
+ PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
+ LOCALE : 'unknown',
+
+ // gettext and ngettext don't access this so that the functions
+ // can safely bound to a different name (_ = Documentation.gettext)
+ gettext : function(string) {
+ var translated = Documentation.TRANSLATIONS[string];
+ if (typeof translated === 'undefined')
+ return string;
+ return (typeof translated === 'string') ? translated : translated[0];
+ },
+
+ ngettext : function(singular, plural, n) {
+ var translated = Documentation.TRANSLATIONS[singular];
+ if (typeof translated === 'undefined')
+ return (n == 1) ? singular : plural;
+ return translated[Documentation.PLURALEXPR(n)];
+ },
+
+ addTranslations : function(catalog) {
+ for (var key in catalog.messages)
+ this.TRANSLATIONS[key] = catalog.messages[key];
+ this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
+ this.LOCALE = catalog.locale;
+ },
+
+ /**
+ * add context elements like header anchor links
+ */
+ addContextElements : function() {
+ $('div[id] > :header:first').each(function() {
+ $('<a class="headerlink">\u00B6</a>').
+ attr('href', '#' + this.id).
+ attr('title', _('Permalink to this headline')).
+ appendTo(this);
+ });
+ $('dt[id]').each(function() {
+ $('<a class="headerlink">\u00B6</a>').
+ attr('href', '#' + this.id).
+ attr('title', _('Permalink to this definition')).
+ appendTo(this);
+ });
+ },
+
+ /**
+ * workaround a firefox stupidity
+ * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
+ */
+ fixFirefoxAnchorBug : function() {
+ if (document.location.hash && $.browser.mozilla)
+ window.setTimeout(function() {
+ document.location.href += '';
+ }, 10);
+ },
+
+ /**
+ * highlight the search words provided in the url in the text
+ */
+ highlightSearchWords : function() {
+ var params = $.getQueryParameters();
+ var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
+ if (terms.length) {
+ var body = $('div.body');
+ if (!body.length) {
+ body = $('body');
+ }
+ window.setTimeout(function() {
+ $.each(terms, function() {
+ body.highlightText(this.toLowerCase(), 'highlighted');
+ });
+ }, 10);
+ $('<p class="highlight-link"><a href="javascript:Documentation.' +
+ 'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
+ .appendTo($('#searchbox'));
+ }
+ },
+
+ /**
+ * init the domain index toggle buttons
+ */
+ initIndexTable : function() {
+ var togglers = $('img.toggler').click(function() {
+ var src = $(this).attr('src');
+ var idnum = $(this).attr('id').substr(7);
+ $('tr.cg-' + idnum).toggle();
+ if (src.substr(-9) === 'minus.png')
+ $(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
+ else
+ $(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
+ }).css('display', '');
+ if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
+ togglers.click();
+ }
+ },
+
+ /**
+ * helper function to hide the search marks again
+ */
+ hideSearchWords : function() {
+ $('#searchbox .highlight-link').fadeOut(300);
+ $('span.highlighted').removeClass('highlighted');
+ },
+
+ /**
+ * make the url absolute
+ */
+ makeURL : function(relativeURL) {
+ return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
+ },
+
+ /**
+ * get the current relative url
+ */
+ getCurrentURL : function() {
+ var path = document.location.pathname;
+ var parts = path.split(/\//);
+ $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
+ if (this === '..')
+ parts.pop();
+ });
+ var url = parts.join('/');
+ return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
+ },
+
+ initOnKeyListeners: function() {
+ $(document).keydown(function(event) {
+ var activeElementType = document.activeElement.tagName;
+ // don't navigate when in search box, textarea, dropdown or button
+ if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
+ && activeElementType !== 'BUTTON' && !event.altKey && !event.ctrlKey && !event.metaKey
+ && !event.shiftKey) {
+ switch (event.keyCode) {
+ case 37: // left
+ var prevHref = $('link[rel="prev"]').prop('href');
+ if (prevHref) {
+ window.location.href = prevHref;
+ return false;
+ }
+ case 39: // right
+ var nextHref = $('link[rel="next"]').prop('href');
+ if (nextHref) {
+ window.location.href = nextHref;
+ return false;
+ }
+ }
+ }
+ });
+ }
+};
+
+// quick alias for translations
+_ = Documentation.gettext;
+
+$(document).ready(function() {
+ Documentation.init();
+});
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new file mode 100644
index 0000000000000000000000000000000000000000..2fa8c97fe42aebc1d50251eca054fdc6b40ed084
--- /dev/null
+++ b/docs/build/html/_static/documentation_options.js
@@ -0,0 +1,12 @@
+var DOCUMENTATION_OPTIONS = {
+ URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+ VERSION: '',
+ LANGUAGE: 'None',
+ COLLAPSE_INDEX: false,
+ BUILDER: 'html',
+ FILE_SUFFIX: '.html',
+ LINK_SUFFIX: '.html',
+ HAS_SOURCE: true,
+ SOURCELINK_SUFFIX: '.txt',
+ NAVIGATION_WITH_KEYS: false
+};
\ No newline at end of file
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+ By ,,,
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+q-19 -4 -36 6.5t-21 30.5t6.5 37t30.5 22q20 4 36.5 -7.5t20.5 -30.5zM1136 1448q16 -27 8.5 -58.5t-35.5 -47.5q-27 -16 -57.5 -8.5t-46.5 34.5q-16 28 -8.5 59t34.5 48t58 9t47 -36zM1882 792q4 -15 -4 -27.5t-23 -16.5q-15 -3 -27.5 5.5t-15.5 22.5q-3 15 5 28t23 16
+q14 3 26.5 -5t15.5 -23zM1691 1033q15 -22 10.5 -49t-26.5 -43q-22 -15 -49 -10t-42 27t-10 49t27 43t48.5 11t41.5 -28z" />
+ <glyph glyph-name="uniF2E1" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2E2" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2E3" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2E4" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2E5" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2E6" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2E7" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="_698" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2E9" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2EA" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2EB" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2EC" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2ED" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="uniF2EE" unicode="" horiz-adv-x="1792"
+ />
+ <glyph glyph-name="lessequal" unicode="" horiz-adv-x="1792"
+ />
+ </font>
+</defs></svg>
diff --git a/docs/build/html/_static/fonts/fontawesome-webfont.ttf b/docs/build/html/_static/fonts/fontawesome-webfont.ttf
new file mode 100644
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diff --git a/docs/build/html/_static/fonts/lato-normal-italic.woff b/docs/build/html/_static/fonts/lato-normal-italic.woff
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diff --git a/docs/build/html/_static/fonts/lato-normal-italic.woff2 b/docs/build/html/_static/fonts/lato-normal-italic.woff2
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diff --git a/docs/build/html/_static/jquery-3.5.1.js b/docs/build/html/_static/jquery-3.5.1.js
new file mode 100644
index 0000000000000000000000000000000000000000..50937333b99a5e168ac9e8292b22edd7e96c3e6a
--- /dev/null
+++ b/docs/build/html/_static/jquery-3.5.1.js
@@ -0,0 +1,10872 @@
+/*!
+ * jQuery JavaScript Library v3.5.1
+ * https://jquery.com/
+ *
+ * Includes Sizzle.js
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2020-05-04T22:49Z
+ */
+( function( global, factory ) {
+
+ "use strict";
+
+ if ( typeof module === "object" && typeof module.exports === "object" ) {
+
+ // For CommonJS and CommonJS-like environments where a proper `window`
+ // is present, execute the factory and get jQuery.
+ // For environments that do not have a `window` with a `document`
+ // (such as Node.js), expose a factory as module.exports.
+ // This accentuates the need for the creation of a real `window`.
+ // e.g. var jQuery = require("jquery")(window);
+ // See ticket #14549 for more info.
+ module.exports = global.document ?
+ factory( global, true ) :
+ function( w ) {
+ if ( !w.document ) {
+ throw new Error( "jQuery requires a window with a document" );
+ }
+ return factory( w );
+ };
+ } else {
+ factory( global );
+ }
+
+// Pass this if window is not defined yet
+} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
+
+// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
+// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
+// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
+// enough that all such attempts are guarded in a try block.
+"use strict";
+
+var arr = [];
+
+var getProto = Object.getPrototypeOf;
+
+var slice = arr.slice;
+
+var flat = arr.flat ? function( array ) {
+ return arr.flat.call( array );
+} : function( array ) {
+ return arr.concat.apply( [], array );
+};
+
+
+var push = arr.push;
+
+var indexOf = arr.indexOf;
+
+var class2type = {};
+
+var toString = class2type.toString;
+
+var hasOwn = class2type.hasOwnProperty;
+
+var fnToString = hasOwn.toString;
+
+var ObjectFunctionString = fnToString.call( Object );
+
+var support = {};
+
+var isFunction = function isFunction( obj ) {
+
+ // Support: Chrome <=57, Firefox <=52
+ // In some browsers, typeof returns "function" for HTML <object> elements
+ // (i.e., `typeof document.createElement( "object" ) === "function"`).
+ // We don't want to classify *any* DOM node as a function.
+ return typeof obj === "function" && typeof obj.nodeType !== "number";
+ };
+
+
+var isWindow = function isWindow( obj ) {
+ return obj != null && obj === obj.window;
+ };
+
+
+var document = window.document;
+
+
+
+ var preservedScriptAttributes = {
+ type: true,
+ src: true,
+ nonce: true,
+ noModule: true
+ };
+
+ function DOMEval( code, node, doc ) {
+ doc = doc || document;
+
+ var i, val,
+ script = doc.createElement( "script" );
+
+ script.text = code;
+ if ( node ) {
+ for ( i in preservedScriptAttributes ) {
+
+ // Support: Firefox 64+, Edge 18+
+ // Some browsers don't support the "nonce" property on scripts.
+ // On the other hand, just using `getAttribute` is not enough as
+ // the `nonce` attribute is reset to an empty string whenever it
+ // becomes browsing-context connected.
+ // See https://github.com/whatwg/html/issues/2369
+ // See https://html.spec.whatwg.org/#nonce-attributes
+ // The `node.getAttribute` check was added for the sake of
+ // `jQuery.globalEval` so that it can fake a nonce-containing node
+ // via an object.
+ val = node[ i ] || node.getAttribute && node.getAttribute( i );
+ if ( val ) {
+ script.setAttribute( i, val );
+ }
+ }
+ }
+ doc.head.appendChild( script ).parentNode.removeChild( script );
+ }
+
+
+function toType( obj ) {
+ if ( obj == null ) {
+ return obj + "";
+ }
+
+ // Support: Android <=2.3 only (functionish RegExp)
+ return typeof obj === "object" || typeof obj === "function" ?
+ class2type[ toString.call( obj ) ] || "object" :
+ typeof obj;
+}
+/* global Symbol */
+// Defining this global in .eslintrc.json would create a danger of using the global
+// unguarded in another place, it seems safer to define global only for this module
+
+
+
+var
+ version = "3.5.1",
+
+ // Define a local copy of jQuery
+ jQuery = function( selector, context ) {
+
+ // The jQuery object is actually just the init constructor 'enhanced'
+ // Need init if jQuery is called (just allow error to be thrown if not included)
+ return new jQuery.fn.init( selector, context );
+ };
+
+jQuery.fn = jQuery.prototype = {
+
+ // The current version of jQuery being used
+ jquery: version,
+
+ constructor: jQuery,
+
+ // The default length of a jQuery object is 0
+ length: 0,
+
+ toArray: function() {
+ return slice.call( this );
+ },
+
+ // Get the Nth element in the matched element set OR
+ // Get the whole matched element set as a clean array
+ get: function( num ) {
+
+ // Return all the elements in a clean array
+ if ( num == null ) {
+ return slice.call( this );
+ }
+
+ // Return just the one element from the set
+ return num < 0 ? this[ num + this.length ] : this[ num ];
+ },
+
+ // Take an array of elements and push it onto the stack
+ // (returning the new matched element set)
+ pushStack: function( elems ) {
+
+ // Build a new jQuery matched element set
+ var ret = jQuery.merge( this.constructor(), elems );
+
+ // Add the old object onto the stack (as a reference)
+ ret.prevObject = this;
+
+ // Return the newly-formed element set
+ return ret;
+ },
+
+ // Execute a callback for every element in the matched set.
+ each: function( callback ) {
+ return jQuery.each( this, callback );
+ },
+
+ map: function( callback ) {
+ return this.pushStack( jQuery.map( this, function( elem, i ) {
+ return callback.call( elem, i, elem );
+ } ) );
+ },
+
+ slice: function() {
+ return this.pushStack( slice.apply( this, arguments ) );
+ },
+
+ first: function() {
+ return this.eq( 0 );
+ },
+
+ last: function() {
+ return this.eq( -1 );
+ },
+
+ even: function() {
+ return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+ return ( i + 1 ) % 2;
+ } ) );
+ },
+
+ odd: function() {
+ return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+ return i % 2;
+ } ) );
+ },
+
+ eq: function( i ) {
+ var len = this.length,
+ j = +i + ( i < 0 ? len : 0 );
+ return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
+ },
+
+ end: function() {
+ return this.prevObject || this.constructor();
+ },
+
+ // For internal use only.
+ // Behaves like an Array's method, not like a jQuery method.
+ push: push,
+ sort: arr.sort,
+ splice: arr.splice
+};
+
+jQuery.extend = jQuery.fn.extend = function() {
+ var options, name, src, copy, copyIsArray, clone,
+ target = arguments[ 0 ] || {},
+ i = 1,
+ length = arguments.length,
+ deep = false;
+
+ // Handle a deep copy situation
+ if ( typeof target === "boolean" ) {
+ deep = target;
+
+ // Skip the boolean and the target
+ target = arguments[ i ] || {};
+ i++;
+ }
+
+ // Handle case when target is a string or something (possible in deep copy)
+ if ( typeof target !== "object" && !isFunction( target ) ) {
+ target = {};
+ }
+
+ // Extend jQuery itself if only one argument is passed
+ if ( i === length ) {
+ target = this;
+ i--;
+ }
+
+ for ( ; i < length; i++ ) {
+
+ // Only deal with non-null/undefined values
+ if ( ( options = arguments[ i ] ) != null ) {
+
+ // Extend the base object
+ for ( name in options ) {
+ copy = options[ name ];
+
+ // Prevent Object.prototype pollution
+ // Prevent never-ending loop
+ if ( name === "__proto__" || target === copy ) {
+ continue;
+ }
+
+ // Recurse if we're merging plain objects or arrays
+ if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
+ ( copyIsArray = Array.isArray( copy ) ) ) ) {
+ src = target[ name ];
+
+ // Ensure proper type for the source value
+ if ( copyIsArray && !Array.isArray( src ) ) {
+ clone = [];
+ } else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
+ clone = {};
+ } else {
+ clone = src;
+ }
+ copyIsArray = false;
+
+ // Never move original objects, clone them
+ target[ name ] = jQuery.extend( deep, clone, copy );
+
+ // Don't bring in undefined values
+ } else if ( copy !== undefined ) {
+ target[ name ] = copy;
+ }
+ }
+ }
+ }
+
+ // Return the modified object
+ return target;
+};
+
+jQuery.extend( {
+
+ // Unique for each copy of jQuery on the page
+ expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
+
+ // Assume jQuery is ready without the ready module
+ isReady: true,
+
+ error: function( msg ) {
+ throw new Error( msg );
+ },
+
+ noop: function() {},
+
+ isPlainObject: function( obj ) {
+ var proto, Ctor;
+
+ // Detect obvious negatives
+ // Use toString instead of jQuery.type to catch host objects
+ if ( !obj || toString.call( obj ) !== "[object Object]" ) {
+ return false;
+ }
+
+ proto = getProto( obj );
+
+ // Objects with no prototype (e.g., `Object.create( null )`) are plain
+ if ( !proto ) {
+ return true;
+ }
+
+ // Objects with prototype are plain iff they were constructed by a global Object function
+ Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
+ return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
+ },
+
+ isEmptyObject: function( obj ) {
+ var name;
+
+ for ( name in obj ) {
+ return false;
+ }
+ return true;
+ },
+
+ // Evaluates a script in a provided context; falls back to the global one
+ // if not specified.
+ globalEval: function( code, options, doc ) {
+ DOMEval( code, { nonce: options && options.nonce }, doc );
+ },
+
+ each: function( obj, callback ) {
+ var length, i = 0;
+
+ if ( isArrayLike( obj ) ) {
+ length = obj.length;
+ for ( ; i < length; i++ ) {
+ if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+ break;
+ }
+ }
+ } else {
+ for ( i in obj ) {
+ if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+ break;
+ }
+ }
+ }
+
+ return obj;
+ },
+
+ // results is for internal usage only
+ makeArray: function( arr, results ) {
+ var ret = results || [];
+
+ if ( arr != null ) {
+ if ( isArrayLike( Object( arr ) ) ) {
+ jQuery.merge( ret,
+ typeof arr === "string" ?
+ [ arr ] : arr
+ );
+ } else {
+ push.call( ret, arr );
+ }
+ }
+
+ return ret;
+ },
+
+ inArray: function( elem, arr, i ) {
+ return arr == null ? -1 : indexOf.call( arr, elem, i );
+ },
+
+ // Support: Android <=4.0 only, PhantomJS 1 only
+ // push.apply(_, arraylike) throws on ancient WebKit
+ merge: function( first, second ) {
+ var len = +second.length,
+ j = 0,
+ i = first.length;
+
+ for ( ; j < len; j++ ) {
+ first[ i++ ] = second[ j ];
+ }
+
+ first.length = i;
+
+ return first;
+ },
+
+ grep: function( elems, callback, invert ) {
+ var callbackInverse,
+ matches = [],
+ i = 0,
+ length = elems.length,
+ callbackExpect = !invert;
+
+ // Go through the array, only saving the items
+ // that pass the validator function
+ for ( ; i < length; i++ ) {
+ callbackInverse = !callback( elems[ i ], i );
+ if ( callbackInverse !== callbackExpect ) {
+ matches.push( elems[ i ] );
+ }
+ }
+
+ return matches;
+ },
+
+ // arg is for internal usage only
+ map: function( elems, callback, arg ) {
+ var length, value,
+ i = 0,
+ ret = [];
+
+ // Go through the array, translating each of the items to their new values
+ if ( isArrayLike( elems ) ) {
+ length = elems.length;
+ for ( ; i < length; i++ ) {
+ value = callback( elems[ i ], i, arg );
+
+ if ( value != null ) {
+ ret.push( value );
+ }
+ }
+
+ // Go through every key on the object,
+ } else {
+ for ( i in elems ) {
+ value = callback( elems[ i ], i, arg );
+
+ if ( value != null ) {
+ ret.push( value );
+ }
+ }
+ }
+
+ // Flatten any nested arrays
+ return flat( ret );
+ },
+
+ // A global GUID counter for objects
+ guid: 1,
+
+ // jQuery.support is not used in Core but other projects attach their
+ // properties to it so it needs to exist.
+ support: support
+} );
+
+if ( typeof Symbol === "function" ) {
+ jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
+}
+
+// Populate the class2type map
+jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
+function( _i, name ) {
+ class2type[ "[object " + name + "]" ] = name.toLowerCase();
+} );
+
+function isArrayLike( obj ) {
+
+ // Support: real iOS 8.2 only (not reproducible in simulator)
+ // `in` check used to prevent JIT error (gh-2145)
+ // hasOwn isn't used here due to false negatives
+ // regarding Nodelist length in IE
+ var length = !!obj && "length" in obj && obj.length,
+ type = toType( obj );
+
+ if ( isFunction( obj ) || isWindow( obj ) ) {
+ return false;
+ }
+
+ return type === "array" || length === 0 ||
+ typeof length === "number" && length > 0 && ( length - 1 ) in obj;
+}
+var Sizzle =
+/*!
+ * Sizzle CSS Selector Engine v2.3.5
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://js.foundation/
+ *
+ * Date: 2020-03-14
+ */
+( function( window ) {
+var i,
+ support,
+ Expr,
+ getText,
+ isXML,
+ tokenize,
+ compile,
+ select,
+ outermostContext,
+ sortInput,
+ hasDuplicate,
+
+ // Local document vars
+ setDocument,
+ document,
+ docElem,
+ documentIsHTML,
+ rbuggyQSA,
+ rbuggyMatches,
+ matches,
+ contains,
+
+ // Instance-specific data
+ expando = "sizzle" + 1 * new Date(),
+ preferredDoc = window.document,
+ dirruns = 0,
+ done = 0,
+ classCache = createCache(),
+ tokenCache = createCache(),
+ compilerCache = createCache(),
+ nonnativeSelectorCache = createCache(),
+ sortOrder = function( a, b ) {
+ if ( a === b ) {
+ hasDuplicate = true;
+ }
+ return 0;
+ },
+
+ // Instance methods
+ hasOwn = ( {} ).hasOwnProperty,
+ arr = [],
+ pop = arr.pop,
+ pushNative = arr.push,
+ push = arr.push,
+ slice = arr.slice,
+
+ // Use a stripped-down indexOf as it's faster than native
+ // https://jsperf.com/thor-indexof-vs-for/5
+ indexOf = function( list, elem ) {
+ var i = 0,
+ len = list.length;
+ for ( ; i < len; i++ ) {
+ if ( list[ i ] === elem ) {
+ return i;
+ }
+ }
+ return -1;
+ },
+
+ booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
+ "ismap|loop|multiple|open|readonly|required|scoped",
+
+ // Regular expressions
+
+ // http://www.w3.org/TR/css3-selectors/#whitespace
+ whitespace = "[\\x20\\t\\r\\n\\f]",
+
+ // https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
+ identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
+ "?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
+
+ // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
+ attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
+
+ // Operator (capture 2)
+ "*([*^$|!~]?=)" + whitespace +
+
+ // "Attribute values must be CSS identifiers [capture 5]
+ // or strings [capture 3 or capture 4]"
+ "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" +
+ whitespace + "*\\]",
+
+ pseudos = ":(" + identifier + ")(?:\\((" +
+
+ // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
+ // 1. quoted (capture 3; capture 4 or capture 5)
+ "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
+
+ // 2. simple (capture 6)
+ "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
+
+ // 3. anything else (capture 2)
+ ".*" +
+ ")\\)|)",
+
+ // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
+ rwhitespace = new RegExp( whitespace + "+", "g" ),
+ rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
+ whitespace + "+$", "g" ),
+
+ rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
+ rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
+ "*" ),
+ rdescend = new RegExp( whitespace + "|>" ),
+
+ rpseudo = new RegExp( pseudos ),
+ ridentifier = new RegExp( "^" + identifier + "$" ),
+
+ matchExpr = {
+ "ID": new RegExp( "^#(" + identifier + ")" ),
+ "CLASS": new RegExp( "^\\.(" + identifier + ")" ),
+ "TAG": new RegExp( "^(" + identifier + "|[*])" ),
+ "ATTR": new RegExp( "^" + attributes ),
+ "PSEUDO": new RegExp( "^" + pseudos ),
+ "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
+ whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
+ whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
+ "bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
+
+ // For use in libraries implementing .is()
+ // We use this for POS matching in `select`
+ "needsContext": new RegExp( "^" + whitespace +
+ "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
+ "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
+ },
+
+ rhtml = /HTML$/i,
+ rinputs = /^(?:input|select|textarea|button)$/i,
+ rheader = /^h\d$/i,
+
+ rnative = /^[^{]+\{\s*\[native \w/,
+
+ // Easily-parseable/retrievable ID or TAG or CLASS selectors
+ rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
+
+ rsibling = /[+~]/,
+
+ // CSS escapes
+ // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
+ runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
+ funescape = function( escape, nonHex ) {
+ var high = "0x" + escape.slice( 1 ) - 0x10000;
+
+ return nonHex ?
+
+ // Strip the backslash prefix from a non-hex escape sequence
+ nonHex :
+
+ // Replace a hexadecimal escape sequence with the encoded Unicode code point
+ // Support: IE <=11+
+ // For values outside the Basic Multilingual Plane (BMP), manually construct a
+ // surrogate pair
+ high < 0 ?
+ String.fromCharCode( high + 0x10000 ) :
+ String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
+ },
+
+ // CSS string/identifier serialization
+ // https://drafts.csswg.org/cssom/#common-serializing-idioms
+ rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
+ fcssescape = function( ch, asCodePoint ) {
+ if ( asCodePoint ) {
+
+ // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
+ if ( ch === "\0" ) {
+ return "\uFFFD";
+ }
+
+ // Control characters and (dependent upon position) numbers get escaped as code points
+ return ch.slice( 0, -1 ) + "\\" +
+ ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
+ }
+
+ // Other potentially-special ASCII characters get backslash-escaped
+ return "\\" + ch;
+ },
+
+ // Used for iframes
+ // See setDocument()
+ // Removing the function wrapper causes a "Permission Denied"
+ // error in IE
+ unloadHandler = function() {
+ setDocument();
+ },
+
+ inDisabledFieldset = addCombinator(
+ function( elem ) {
+ return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
+ },
+ { dir: "parentNode", next: "legend" }
+ );
+
+// Optimize for push.apply( _, NodeList )
+try {
+ push.apply(
+ ( arr = slice.call( preferredDoc.childNodes ) ),
+ preferredDoc.childNodes
+ );
+
+ // Support: Android<4.0
+ // Detect silently failing push.apply
+ // eslint-disable-next-line no-unused-expressions
+ arr[ preferredDoc.childNodes.length ].nodeType;
+} catch ( e ) {
+ push = { apply: arr.length ?
+
+ // Leverage slice if possible
+ function( target, els ) {
+ pushNative.apply( target, slice.call( els ) );
+ } :
+
+ // Support: IE<9
+ // Otherwise append directly
+ function( target, els ) {
+ var j = target.length,
+ i = 0;
+
+ // Can't trust NodeList.length
+ while ( ( target[ j++ ] = els[ i++ ] ) ) {}
+ target.length = j - 1;
+ }
+ };
+}
+
+function Sizzle( selector, context, results, seed ) {
+ var m, i, elem, nid, match, groups, newSelector,
+ newContext = context && context.ownerDocument,
+
+ // nodeType defaults to 9, since context defaults to document
+ nodeType = context ? context.nodeType : 9;
+
+ results = results || [];
+
+ // Return early from calls with invalid selector or context
+ if ( typeof selector !== "string" || !selector ||
+ nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
+
+ return results;
+ }
+
+ // Try to shortcut find operations (as opposed to filters) in HTML documents
+ if ( !seed ) {
+ setDocument( context );
+ context = context || document;
+
+ if ( documentIsHTML ) {
+
+ // If the selector is sufficiently simple, try using a "get*By*" DOM method
+ // (excepting DocumentFragment context, where the methods don't exist)
+ if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
+
+ // ID selector
+ if ( ( m = match[ 1 ] ) ) {
+
+ // Document context
+ if ( nodeType === 9 ) {
+ if ( ( elem = context.getElementById( m ) ) ) {
+
+ // Support: IE, Opera, Webkit
+ // TODO: identify versions
+ // getElementById can match elements by name instead of ID
+ if ( elem.id === m ) {
+ results.push( elem );
+ return results;
+ }
+ } else {
+ return results;
+ }
+
+ // Element context
+ } else {
+
+ // Support: IE, Opera, Webkit
+ // TODO: identify versions
+ // getElementById can match elements by name instead of ID
+ if ( newContext && ( elem = newContext.getElementById( m ) ) &&
+ contains( context, elem ) &&
+ elem.id === m ) {
+
+ results.push( elem );
+ return results;
+ }
+ }
+
+ // Type selector
+ } else if ( match[ 2 ] ) {
+ push.apply( results, context.getElementsByTagName( selector ) );
+ return results;
+
+ // Class selector
+ } else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
+ context.getElementsByClassName ) {
+
+ push.apply( results, context.getElementsByClassName( m ) );
+ return results;
+ }
+ }
+
+ // Take advantage of querySelectorAll
+ if ( support.qsa &&
+ !nonnativeSelectorCache[ selector + " " ] &&
+ ( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
+
+ // Support: IE 8 only
+ // Exclude object elements
+ ( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
+
+ newSelector = selector;
+ newContext = context;
+
+ // qSA considers elements outside a scoping root when evaluating child or
+ // descendant combinators, which is not what we want.
+ // In such cases, we work around the behavior by prefixing every selector in the
+ // list with an ID selector referencing the scope context.
+ // The technique has to be used as well when a leading combinator is used
+ // as such selectors are not recognized by querySelectorAll.
+ // Thanks to Andrew Dupont for this technique.
+ if ( nodeType === 1 &&
+ ( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
+
+ // Expand context for sibling selectors
+ newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
+ context;
+
+ // We can use :scope instead of the ID hack if the browser
+ // supports it & if we're not changing the context.
+ if ( newContext !== context || !support.scope ) {
+
+ // Capture the context ID, setting it first if necessary
+ if ( ( nid = context.getAttribute( "id" ) ) ) {
+ nid = nid.replace( rcssescape, fcssescape );
+ } else {
+ context.setAttribute( "id", ( nid = expando ) );
+ }
+ }
+
+ // Prefix every selector in the list
+ groups = tokenize( selector );
+ i = groups.length;
+ while ( i-- ) {
+ groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
+ toSelector( groups[ i ] );
+ }
+ newSelector = groups.join( "," );
+ }
+
+ try {
+ push.apply( results,
+ newContext.querySelectorAll( newSelector )
+ );
+ return results;
+ } catch ( qsaError ) {
+ nonnativeSelectorCache( selector, true );
+ } finally {
+ if ( nid === expando ) {
+ context.removeAttribute( "id" );
+ }
+ }
+ }
+ }
+ }
+
+ // All others
+ return select( selector.replace( rtrim, "$1" ), context, results, seed );
+}
+
+/**
+ * Create key-value caches of limited size
+ * @returns {function(string, object)} Returns the Object data after storing it on itself with
+ * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
+ * deleting the oldest entry
+ */
+function createCache() {
+ var keys = [];
+
+ function cache( key, value ) {
+
+ // Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
+ if ( keys.push( key + " " ) > Expr.cacheLength ) {
+
+ // Only keep the most recent entries
+ delete cache[ keys.shift() ];
+ }
+ return ( cache[ key + " " ] = value );
+ }
+ return cache;
+}
+
+/**
+ * Mark a function for special use by Sizzle
+ * @param {Function} fn The function to mark
+ */
+function markFunction( fn ) {
+ fn[ expando ] = true;
+ return fn;
+}
+
+/**
+ * Support testing using an element
+ * @param {Function} fn Passed the created element and returns a boolean result
+ */
+function assert( fn ) {
+ var el = document.createElement( "fieldset" );
+
+ try {
+ return !!fn( el );
+ } catch ( e ) {
+ return false;
+ } finally {
+
+ // Remove from its parent by default
+ if ( el.parentNode ) {
+ el.parentNode.removeChild( el );
+ }
+
+ // release memory in IE
+ el = null;
+ }
+}
+
+/**
+ * Adds the same handler for all of the specified attrs
+ * @param {String} attrs Pipe-separated list of attributes
+ * @param {Function} handler The method that will be applied
+ */
+function addHandle( attrs, handler ) {
+ var arr = attrs.split( "|" ),
+ i = arr.length;
+
+ while ( i-- ) {
+ Expr.attrHandle[ arr[ i ] ] = handler;
+ }
+}
+
+/**
+ * Checks document order of two siblings
+ * @param {Element} a
+ * @param {Element} b
+ * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
+ */
+function siblingCheck( a, b ) {
+ var cur = b && a,
+ diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
+ a.sourceIndex - b.sourceIndex;
+
+ // Use IE sourceIndex if available on both nodes
+ if ( diff ) {
+ return diff;
+ }
+
+ // Check if b follows a
+ if ( cur ) {
+ while ( ( cur = cur.nextSibling ) ) {
+ if ( cur === b ) {
+ return -1;
+ }
+ }
+ }
+
+ return a ? 1 : -1;
+}
+
+/**
+ * Returns a function to use in pseudos for input types
+ * @param {String} type
+ */
+function createInputPseudo( type ) {
+ return function( elem ) {
+ var name = elem.nodeName.toLowerCase();
+ return name === "input" && elem.type === type;
+ };
+}
+
+/**
+ * Returns a function to use in pseudos for buttons
+ * @param {String} type
+ */
+function createButtonPseudo( type ) {
+ return function( elem ) {
+ var name = elem.nodeName.toLowerCase();
+ return ( name === "input" || name === "button" ) && elem.type === type;
+ };
+}
+
+/**
+ * Returns a function to use in pseudos for :enabled/:disabled
+ * @param {Boolean} disabled true for :disabled; false for :enabled
+ */
+function createDisabledPseudo( disabled ) {
+
+ // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
+ return function( elem ) {
+
+ // Only certain elements can match :enabled or :disabled
+ // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
+ // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
+ if ( "form" in elem ) {
+
+ // Check for inherited disabledness on relevant non-disabled elements:
+ // * listed form-associated elements in a disabled fieldset
+ // https://html.spec.whatwg.org/multipage/forms.html#category-listed
+ // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
+ // * option elements in a disabled optgroup
+ // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
+ // All such elements have a "form" property.
+ if ( elem.parentNode && elem.disabled === false ) {
+
+ // Option elements defer to a parent optgroup if present
+ if ( "label" in elem ) {
+ if ( "label" in elem.parentNode ) {
+ return elem.parentNode.disabled === disabled;
+ } else {
+ return elem.disabled === disabled;
+ }
+ }
+
+ // Support: IE 6 - 11
+ // Use the isDisabled shortcut property to check for disabled fieldset ancestors
+ return elem.isDisabled === disabled ||
+
+ // Where there is no isDisabled, check manually
+ /* jshint -W018 */
+ elem.isDisabled !== !disabled &&
+ inDisabledFieldset( elem ) === disabled;
+ }
+
+ return elem.disabled === disabled;
+
+ // Try to winnow out elements that can't be disabled before trusting the disabled property.
+ // Some victims get caught in our net (label, legend, menu, track), but it shouldn't
+ // even exist on them, let alone have a boolean value.
+ } else if ( "label" in elem ) {
+ return elem.disabled === disabled;
+ }
+
+ // Remaining elements are neither :enabled nor :disabled
+ return false;
+ };
+}
+
+/**
+ * Returns a function to use in pseudos for positionals
+ * @param {Function} fn
+ */
+function createPositionalPseudo( fn ) {
+ return markFunction( function( argument ) {
+ argument = +argument;
+ return markFunction( function( seed, matches ) {
+ var j,
+ matchIndexes = fn( [], seed.length, argument ),
+ i = matchIndexes.length;
+
+ // Match elements found at the specified indexes
+ while ( i-- ) {
+ if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
+ seed[ j ] = !( matches[ j ] = seed[ j ] );
+ }
+ }
+ } );
+ } );
+}
+
+/**
+ * Checks a node for validity as a Sizzle context
+ * @param {Element|Object=} context
+ * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
+ */
+function testContext( context ) {
+ return context && typeof context.getElementsByTagName !== "undefined" && context;
+}
+
+// Expose support vars for convenience
+support = Sizzle.support = {};
+
+/**
+ * Detects XML nodes
+ * @param {Element|Object} elem An element or a document
+ * @returns {Boolean} True iff elem is a non-HTML XML node
+ */
+isXML = Sizzle.isXML = function( elem ) {
+ var namespace = elem.namespaceURI,
+ docElem = ( elem.ownerDocument || elem ).documentElement;
+
+ // Support: IE <=8
+ // Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
+ // https://bugs.jquery.com/ticket/4833
+ return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
+};
+
+/**
+ * Sets document-related variables once based on the current document
+ * @param {Element|Object} [doc] An element or document object to use to set the document
+ * @returns {Object} Returns the current document
+ */
+setDocument = Sizzle.setDocument = function( node ) {
+ var hasCompare, subWindow,
+ doc = node ? node.ownerDocument || node : preferredDoc;
+
+ // Return early if doc is invalid or already selected
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ // eslint-disable-next-line eqeqeq
+ if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
+ return document;
+ }
+
+ // Update global variables
+ document = doc;
+ docElem = document.documentElement;
+ documentIsHTML = !isXML( document );
+
+ // Support: IE 9 - 11+, Edge 12 - 18+
+ // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ // eslint-disable-next-line eqeqeq
+ if ( preferredDoc != document &&
+ ( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
+
+ // Support: IE 11, Edge
+ if ( subWindow.addEventListener ) {
+ subWindow.addEventListener( "unload", unloadHandler, false );
+
+ // Support: IE 9 - 10 only
+ } else if ( subWindow.attachEvent ) {
+ subWindow.attachEvent( "onunload", unloadHandler );
+ }
+ }
+
+ // Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
+ // Safari 4 - 5 only, Opera <=11.6 - 12.x only
+ // IE/Edge & older browsers don't support the :scope pseudo-class.
+ // Support: Safari 6.0 only
+ // Safari 6.0 supports :scope but it's an alias of :root there.
+ support.scope = assert( function( el ) {
+ docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
+ return typeof el.querySelectorAll !== "undefined" &&
+ !el.querySelectorAll( ":scope fieldset div" ).length;
+ } );
+
+ /* Attributes
+ ---------------------------------------------------------------------- */
+
+ // Support: IE<8
+ // Verify that getAttribute really returns attributes and not properties
+ // (excepting IE8 booleans)
+ support.attributes = assert( function( el ) {
+ el.className = "i";
+ return !el.getAttribute( "className" );
+ } );
+
+ /* getElement(s)By*
+ ---------------------------------------------------------------------- */
+
+ // Check if getElementsByTagName("*") returns only elements
+ support.getElementsByTagName = assert( function( el ) {
+ el.appendChild( document.createComment( "" ) );
+ return !el.getElementsByTagName( "*" ).length;
+ } );
+
+ // Support: IE<9
+ support.getElementsByClassName = rnative.test( document.getElementsByClassName );
+
+ // Support: IE<10
+ // Check if getElementById returns elements by name
+ // The broken getElementById methods don't pick up programmatically-set names,
+ // so use a roundabout getElementsByName test
+ support.getById = assert( function( el ) {
+ docElem.appendChild( el ).id = expando;
+ return !document.getElementsByName || !document.getElementsByName( expando ).length;
+ } );
+
+ // ID filter and find
+ if ( support.getById ) {
+ Expr.filter[ "ID" ] = function( id ) {
+ var attrId = id.replace( runescape, funescape );
+ return function( elem ) {
+ return elem.getAttribute( "id" ) === attrId;
+ };
+ };
+ Expr.find[ "ID" ] = function( id, context ) {
+ if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+ var elem = context.getElementById( id );
+ return elem ? [ elem ] : [];
+ }
+ };
+ } else {
+ Expr.filter[ "ID" ] = function( id ) {
+ var attrId = id.replace( runescape, funescape );
+ return function( elem ) {
+ var node = typeof elem.getAttributeNode !== "undefined" &&
+ elem.getAttributeNode( "id" );
+ return node && node.value === attrId;
+ };
+ };
+
+ // Support: IE 6 - 7 only
+ // getElementById is not reliable as a find shortcut
+ Expr.find[ "ID" ] = function( id, context ) {
+ if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+ var node, i, elems,
+ elem = context.getElementById( id );
+
+ if ( elem ) {
+
+ // Verify the id attribute
+ node = elem.getAttributeNode( "id" );
+ if ( node && node.value === id ) {
+ return [ elem ];
+ }
+
+ // Fall back on getElementsByName
+ elems = context.getElementsByName( id );
+ i = 0;
+ while ( ( elem = elems[ i++ ] ) ) {
+ node = elem.getAttributeNode( "id" );
+ if ( node && node.value === id ) {
+ return [ elem ];
+ }
+ }
+ }
+
+ return [];
+ }
+ };
+ }
+
+ // Tag
+ Expr.find[ "TAG" ] = support.getElementsByTagName ?
+ function( tag, context ) {
+ if ( typeof context.getElementsByTagName !== "undefined" ) {
+ return context.getElementsByTagName( tag );
+
+ // DocumentFragment nodes don't have gEBTN
+ } else if ( support.qsa ) {
+ return context.querySelectorAll( tag );
+ }
+ } :
+
+ function( tag, context ) {
+ var elem,
+ tmp = [],
+ i = 0,
+
+ // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
+ results = context.getElementsByTagName( tag );
+
+ // Filter out possible comments
+ if ( tag === "*" ) {
+ while ( ( elem = results[ i++ ] ) ) {
+ if ( elem.nodeType === 1 ) {
+ tmp.push( elem );
+ }
+ }
+
+ return tmp;
+ }
+ return results;
+ };
+
+ // Class
+ Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
+ if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
+ return context.getElementsByClassName( className );
+ }
+ };
+
+ /* QSA/matchesSelector
+ ---------------------------------------------------------------------- */
+
+ // QSA and matchesSelector support
+
+ // matchesSelector(:active) reports false when true (IE9/Opera 11.5)
+ rbuggyMatches = [];
+
+ // qSa(:focus) reports false when true (Chrome 21)
+ // We allow this because of a bug in IE8/9 that throws an error
+ // whenever `document.activeElement` is accessed on an iframe
+ // So, we allow :focus to pass through QSA all the time to avoid the IE error
+ // See https://bugs.jquery.com/ticket/13378
+ rbuggyQSA = [];
+
+ if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
+
+ // Build QSA regex
+ // Regex strategy adopted from Diego Perini
+ assert( function( el ) {
+
+ var input;
+
+ // Select is set to empty string on purpose
+ // This is to test IE's treatment of not explicitly
+ // setting a boolean content attribute,
+ // since its presence should be enough
+ // https://bugs.jquery.com/ticket/12359
+ docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
+ "<select id='" + expando + "-\r\\' msallowcapture=''>" +
+ "<option selected=''></option></select>";
+
+ // Support: IE8, Opera 11-12.16
+ // Nothing should be selected when empty strings follow ^= or $= or *=
+ // The test attribute must be unknown in Opera but "safe" for WinRT
+ // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
+ if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
+ rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
+ }
+
+ // Support: IE8
+ // Boolean attributes and "value" are not treated correctly
+ if ( !el.querySelectorAll( "[selected]" ).length ) {
+ rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
+ }
+
+ // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
+ if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
+ rbuggyQSA.push( "~=" );
+ }
+
+ // Support: IE 11+, Edge 15 - 18+
+ // IE 11/Edge don't find elements on a `[name='']` query in some cases.
+ // Adding a temporary attribute to the document before the selection works
+ // around the issue.
+ // Interestingly, IE 10 & older don't seem to have the issue.
+ input = document.createElement( "input" );
+ input.setAttribute( "name", "" );
+ el.appendChild( input );
+ if ( !el.querySelectorAll( "[name='']" ).length ) {
+ rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
+ whitespace + "*(?:''|\"\")" );
+ }
+
+ // Webkit/Opera - :checked should return selected option elements
+ // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+ // IE8 throws error here and will not see later tests
+ if ( !el.querySelectorAll( ":checked" ).length ) {
+ rbuggyQSA.push( ":checked" );
+ }
+
+ // Support: Safari 8+, iOS 8+
+ // https://bugs.webkit.org/show_bug.cgi?id=136851
+ // In-page `selector#id sibling-combinator selector` fails
+ if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
+ rbuggyQSA.push( ".#.+[+~]" );
+ }
+
+ // Support: Firefox <=3.6 - 5 only
+ // Old Firefox doesn't throw on a badly-escaped identifier.
+ el.querySelectorAll( "\\\f" );
+ rbuggyQSA.push( "[\\r\\n\\f]" );
+ } );
+
+ assert( function( el ) {
+ el.innerHTML = "<a href='' disabled='disabled'></a>" +
+ "<select disabled='disabled'><option/></select>";
+
+ // Support: Windows 8 Native Apps
+ // The type and name attributes are restricted during .innerHTML assignment
+ var input = document.createElement( "input" );
+ input.setAttribute( "type", "hidden" );
+ el.appendChild( input ).setAttribute( "name", "D" );
+
+ // Support: IE8
+ // Enforce case-sensitivity of name attribute
+ if ( el.querySelectorAll( "[name=d]" ).length ) {
+ rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
+ }
+
+ // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
+ // IE8 throws error here and will not see later tests
+ if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
+ rbuggyQSA.push( ":enabled", ":disabled" );
+ }
+
+ // Support: IE9-11+
+ // IE's :disabled selector does not pick up the children of disabled fieldsets
+ docElem.appendChild( el ).disabled = true;
+ if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
+ rbuggyQSA.push( ":enabled", ":disabled" );
+ }
+
+ // Support: Opera 10 - 11 only
+ // Opera 10-11 does not throw on post-comma invalid pseudos
+ el.querySelectorAll( "*,:x" );
+ rbuggyQSA.push( ",.*:" );
+ } );
+ }
+
+ if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
+ docElem.webkitMatchesSelector ||
+ docElem.mozMatchesSelector ||
+ docElem.oMatchesSelector ||
+ docElem.msMatchesSelector ) ) ) ) {
+
+ assert( function( el ) {
+
+ // Check to see if it's possible to do matchesSelector
+ // on a disconnected node (IE 9)
+ support.disconnectedMatch = matches.call( el, "*" );
+
+ // This should fail with an exception
+ // Gecko does not error, returns false instead
+ matches.call( el, "[s!='']:x" );
+ rbuggyMatches.push( "!=", pseudos );
+ } );
+ }
+
+ rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
+ rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
+
+ /* Contains
+ ---------------------------------------------------------------------- */
+ hasCompare = rnative.test( docElem.compareDocumentPosition );
+
+ // Element contains another
+ // Purposefully self-exclusive
+ // As in, an element does not contain itself
+ contains = hasCompare || rnative.test( docElem.contains ) ?
+ function( a, b ) {
+ var adown = a.nodeType === 9 ? a.documentElement : a,
+ bup = b && b.parentNode;
+ return a === bup || !!( bup && bup.nodeType === 1 && (
+ adown.contains ?
+ adown.contains( bup ) :
+ a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
+ ) );
+ } :
+ function( a, b ) {
+ if ( b ) {
+ while ( ( b = b.parentNode ) ) {
+ if ( b === a ) {
+ return true;
+ }
+ }
+ }
+ return false;
+ };
+
+ /* Sorting
+ ---------------------------------------------------------------------- */
+
+ // Document order sorting
+ sortOrder = hasCompare ?
+ function( a, b ) {
+
+ // Flag for duplicate removal
+ if ( a === b ) {
+ hasDuplicate = true;
+ return 0;
+ }
+
+ // Sort on method existence if only one input has compareDocumentPosition
+ var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
+ if ( compare ) {
+ return compare;
+ }
+
+ // Calculate position if both inputs belong to the same document
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ // eslint-disable-next-line eqeqeq
+ compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
+ a.compareDocumentPosition( b ) :
+
+ // Otherwise we know they are disconnected
+ 1;
+
+ // Disconnected nodes
+ if ( compare & 1 ||
+ ( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
+
+ // Choose the first element that is related to our preferred document
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ // eslint-disable-next-line eqeqeq
+ if ( a == document || a.ownerDocument == preferredDoc &&
+ contains( preferredDoc, a ) ) {
+ return -1;
+ }
+
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ // eslint-disable-next-line eqeqeq
+ if ( b == document || b.ownerDocument == preferredDoc &&
+ contains( preferredDoc, b ) ) {
+ return 1;
+ }
+
+ // Maintain original order
+ return sortInput ?
+ ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+ 0;
+ }
+
+ return compare & 4 ? -1 : 1;
+ } :
+ function( a, b ) {
+
+ // Exit early if the nodes are identical
+ if ( a === b ) {
+ hasDuplicate = true;
+ return 0;
+ }
+
+ var cur,
+ i = 0,
+ aup = a.parentNode,
+ bup = b.parentNode,
+ ap = [ a ],
+ bp = [ b ];
+
+ // Parentless nodes are either documents or disconnected
+ if ( !aup || !bup ) {
+
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ /* eslint-disable eqeqeq */
+ return a == document ? -1 :
+ b == document ? 1 :
+ /* eslint-enable eqeqeq */
+ aup ? -1 :
+ bup ? 1 :
+ sortInput ?
+ ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+ 0;
+
+ // If the nodes are siblings, we can do a quick check
+ } else if ( aup === bup ) {
+ return siblingCheck( a, b );
+ }
+
+ // Otherwise we need full lists of their ancestors for comparison
+ cur = a;
+ while ( ( cur = cur.parentNode ) ) {
+ ap.unshift( cur );
+ }
+ cur = b;
+ while ( ( cur = cur.parentNode ) ) {
+ bp.unshift( cur );
+ }
+
+ // Walk down the tree looking for a discrepancy
+ while ( ap[ i ] === bp[ i ] ) {
+ i++;
+ }
+
+ return i ?
+
+ // Do a sibling check if the nodes have a common ancestor
+ siblingCheck( ap[ i ], bp[ i ] ) :
+
+ // Otherwise nodes in our document sort first
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ /* eslint-disable eqeqeq */
+ ap[ i ] == preferredDoc ? -1 :
+ bp[ i ] == preferredDoc ? 1 :
+ /* eslint-enable eqeqeq */
+ 0;
+ };
+
+ return document;
+};
+
+Sizzle.matches = function( expr, elements ) {
+ return Sizzle( expr, null, null, elements );
+};
+
+Sizzle.matchesSelector = function( elem, expr ) {
+ setDocument( elem );
+
+ if ( support.matchesSelector && documentIsHTML &&
+ !nonnativeSelectorCache[ expr + " " ] &&
+ ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
+ ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) {
+
+ try {
+ var ret = matches.call( elem, expr );
+
+ // IE 9's matchesSelector returns false on disconnected nodes
+ if ( ret || support.disconnectedMatch ||
+
+ // As well, disconnected nodes are said to be in a document
+ // fragment in IE 9
+ elem.document && elem.document.nodeType !== 11 ) {
+ return ret;
+ }
+ } catch ( e ) {
+ nonnativeSelectorCache( expr, true );
+ }
+ }
+
+ return Sizzle( expr, document, null, [ elem ] ).length > 0;
+};
+
+Sizzle.contains = function( context, elem ) {
+
+ // Set document vars if needed
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ // eslint-disable-next-line eqeqeq
+ if ( ( context.ownerDocument || context ) != document ) {
+ setDocument( context );
+ }
+ return contains( context, elem );
+};
+
+Sizzle.attr = function( elem, name ) {
+
+ // Set document vars if needed
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ // eslint-disable-next-line eqeqeq
+ if ( ( elem.ownerDocument || elem ) != document ) {
+ setDocument( elem );
+ }
+
+ var fn = Expr.attrHandle[ name.toLowerCase() ],
+
+ // Don't get fooled by Object.prototype properties (jQuery #13807)
+ val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
+ fn( elem, name, !documentIsHTML ) :
+ undefined;
+
+ return val !== undefined ?
+ val :
+ support.attributes || !documentIsHTML ?
+ elem.getAttribute( name ) :
+ ( val = elem.getAttributeNode( name ) ) && val.specified ?
+ val.value :
+ null;
+};
+
+Sizzle.escape = function( sel ) {
+ return ( sel + "" ).replace( rcssescape, fcssescape );
+};
+
+Sizzle.error = function( msg ) {
+ throw new Error( "Syntax error, unrecognized expression: " + msg );
+};
+
+/**
+ * Document sorting and removing duplicates
+ * @param {ArrayLike} results
+ */
+Sizzle.uniqueSort = function( results ) {
+ var elem,
+ duplicates = [],
+ j = 0,
+ i = 0;
+
+ // Unless we *know* we can detect duplicates, assume their presence
+ hasDuplicate = !support.detectDuplicates;
+ sortInput = !support.sortStable && results.slice( 0 );
+ results.sort( sortOrder );
+
+ if ( hasDuplicate ) {
+ while ( ( elem = results[ i++ ] ) ) {
+ if ( elem === results[ i ] ) {
+ j = duplicates.push( i );
+ }
+ }
+ while ( j-- ) {
+ results.splice( duplicates[ j ], 1 );
+ }
+ }
+
+ // Clear input after sorting to release objects
+ // See https://github.com/jquery/sizzle/pull/225
+ sortInput = null;
+
+ return results;
+};
+
+/**
+ * Utility function for retrieving the text value of an array of DOM nodes
+ * @param {Array|Element} elem
+ */
+getText = Sizzle.getText = function( elem ) {
+ var node,
+ ret = "",
+ i = 0,
+ nodeType = elem.nodeType;
+
+ if ( !nodeType ) {
+
+ // If no nodeType, this is expected to be an array
+ while ( ( node = elem[ i++ ] ) ) {
+
+ // Do not traverse comment nodes
+ ret += getText( node );
+ }
+ } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
+
+ // Use textContent for elements
+ // innerText usage removed for consistency of new lines (jQuery #11153)
+ if ( typeof elem.textContent === "string" ) {
+ return elem.textContent;
+ } else {
+
+ // Traverse its children
+ for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+ ret += getText( elem );
+ }
+ }
+ } else if ( nodeType === 3 || nodeType === 4 ) {
+ return elem.nodeValue;
+ }
+
+ // Do not include comment or processing instruction nodes
+
+ return ret;
+};
+
+Expr = Sizzle.selectors = {
+
+ // Can be adjusted by the user
+ cacheLength: 50,
+
+ createPseudo: markFunction,
+
+ match: matchExpr,
+
+ attrHandle: {},
+
+ find: {},
+
+ relative: {
+ ">": { dir: "parentNode", first: true },
+ " ": { dir: "parentNode" },
+ "+": { dir: "previousSibling", first: true },
+ "~": { dir: "previousSibling" }
+ },
+
+ preFilter: {
+ "ATTR": function( match ) {
+ match[ 1 ] = match[ 1 ].replace( runescape, funescape );
+
+ // Move the given value to match[3] whether quoted or unquoted
+ match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
+ match[ 5 ] || "" ).replace( runescape, funescape );
+
+ if ( match[ 2 ] === "~=" ) {
+ match[ 3 ] = " " + match[ 3 ] + " ";
+ }
+
+ return match.slice( 0, 4 );
+ },
+
+ "CHILD": function( match ) {
+
+ /* matches from matchExpr["CHILD"]
+ 1 type (only|nth|...)
+ 2 what (child|of-type)
+ 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
+ 4 xn-component of xn+y argument ([+-]?\d*n|)
+ 5 sign of xn-component
+ 6 x of xn-component
+ 7 sign of y-component
+ 8 y of y-component
+ */
+ match[ 1 ] = match[ 1 ].toLowerCase();
+
+ if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
+
+ // nth-* requires argument
+ if ( !match[ 3 ] ) {
+ Sizzle.error( match[ 0 ] );
+ }
+
+ // numeric x and y parameters for Expr.filter.CHILD
+ // remember that false/true cast respectively to 0/1
+ match[ 4 ] = +( match[ 4 ] ?
+ match[ 5 ] + ( match[ 6 ] || 1 ) :
+ 2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
+ match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
+
+ // other types prohibit arguments
+ } else if ( match[ 3 ] ) {
+ Sizzle.error( match[ 0 ] );
+ }
+
+ return match;
+ },
+
+ "PSEUDO": function( match ) {
+ var excess,
+ unquoted = !match[ 6 ] && match[ 2 ];
+
+ if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
+ return null;
+ }
+
+ // Accept quoted arguments as-is
+ if ( match[ 3 ] ) {
+ match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
+
+ // Strip excess characters from unquoted arguments
+ } else if ( unquoted && rpseudo.test( unquoted ) &&
+
+ // Get excess from tokenize (recursively)
+ ( excess = tokenize( unquoted, true ) ) &&
+
+ // advance to the next closing parenthesis
+ ( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
+
+ // excess is a negative index
+ match[ 0 ] = match[ 0 ].slice( 0, excess );
+ match[ 2 ] = unquoted.slice( 0, excess );
+ }
+
+ // Return only captures needed by the pseudo filter method (type and argument)
+ return match.slice( 0, 3 );
+ }
+ },
+
+ filter: {
+
+ "TAG": function( nodeNameSelector ) {
+ var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
+ return nodeNameSelector === "*" ?
+ function() {
+ return true;
+ } :
+ function( elem ) {
+ return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
+ };
+ },
+
+ "CLASS": function( className ) {
+ var pattern = classCache[ className + " " ];
+
+ return pattern ||
+ ( pattern = new RegExp( "(^|" + whitespace +
+ ")" + className + "(" + whitespace + "|$)" ) ) && classCache(
+ className, function( elem ) {
+ return pattern.test(
+ typeof elem.className === "string" && elem.className ||
+ typeof elem.getAttribute !== "undefined" &&
+ elem.getAttribute( "class" ) ||
+ ""
+ );
+ } );
+ },
+
+ "ATTR": function( name, operator, check ) {
+ return function( elem ) {
+ var result = Sizzle.attr( elem, name );
+
+ if ( result == null ) {
+ return operator === "!=";
+ }
+ if ( !operator ) {
+ return true;
+ }
+
+ result += "";
+
+ /* eslint-disable max-len */
+
+ return operator === "=" ? result === check :
+ operator === "!=" ? result !== check :
+ operator === "^=" ? check && result.indexOf( check ) === 0 :
+ operator === "*=" ? check && result.indexOf( check ) > -1 :
+ operator === "$=" ? check && result.slice( -check.length ) === check :
+ operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
+ operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
+ false;
+ /* eslint-enable max-len */
+
+ };
+ },
+
+ "CHILD": function( type, what, _argument, first, last ) {
+ var simple = type.slice( 0, 3 ) !== "nth",
+ forward = type.slice( -4 ) !== "last",
+ ofType = what === "of-type";
+
+ return first === 1 && last === 0 ?
+
+ // Shortcut for :nth-*(n)
+ function( elem ) {
+ return !!elem.parentNode;
+ } :
+
+ function( elem, _context, xml ) {
+ var cache, uniqueCache, outerCache, node, nodeIndex, start,
+ dir = simple !== forward ? "nextSibling" : "previousSibling",
+ parent = elem.parentNode,
+ name = ofType && elem.nodeName.toLowerCase(),
+ useCache = !xml && !ofType,
+ diff = false;
+
+ if ( parent ) {
+
+ // :(first|last|only)-(child|of-type)
+ if ( simple ) {
+ while ( dir ) {
+ node = elem;
+ while ( ( node = node[ dir ] ) ) {
+ if ( ofType ?
+ node.nodeName.toLowerCase() === name :
+ node.nodeType === 1 ) {
+
+ return false;
+ }
+ }
+
+ // Reverse direction for :only-* (if we haven't yet done so)
+ start = dir = type === "only" && !start && "nextSibling";
+ }
+ return true;
+ }
+
+ start = [ forward ? parent.firstChild : parent.lastChild ];
+
+ // non-xml :nth-child(...) stores cache data on `parent`
+ if ( forward && useCache ) {
+
+ // Seek `elem` from a previously-cached index
+
+ // ...in a gzip-friendly way
+ node = parent;
+ outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+ // Support: IE <9 only
+ // Defend against cloned attroperties (jQuery gh-1709)
+ uniqueCache = outerCache[ node.uniqueID ] ||
+ ( outerCache[ node.uniqueID ] = {} );
+
+ cache = uniqueCache[ type ] || [];
+ nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+ diff = nodeIndex && cache[ 2 ];
+ node = nodeIndex && parent.childNodes[ nodeIndex ];
+
+ while ( ( node = ++nodeIndex && node && node[ dir ] ||
+
+ // Fallback to seeking `elem` from the start
+ ( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+ // When found, cache indexes on `parent` and break
+ if ( node.nodeType === 1 && ++diff && node === elem ) {
+ uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
+ break;
+ }
+ }
+
+ } else {
+
+ // Use previously-cached element index if available
+ if ( useCache ) {
+
+ // ...in a gzip-friendly way
+ node = elem;
+ outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+ // Support: IE <9 only
+ // Defend against cloned attroperties (jQuery gh-1709)
+ uniqueCache = outerCache[ node.uniqueID ] ||
+ ( outerCache[ node.uniqueID ] = {} );
+
+ cache = uniqueCache[ type ] || [];
+ nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+ diff = nodeIndex;
+ }
+
+ // xml :nth-child(...)
+ // or :nth-last-child(...) or :nth(-last)?-of-type(...)
+ if ( diff === false ) {
+
+ // Use the same loop as above to seek `elem` from the start
+ while ( ( node = ++nodeIndex && node && node[ dir ] ||
+ ( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+ if ( ( ofType ?
+ node.nodeName.toLowerCase() === name :
+ node.nodeType === 1 ) &&
+ ++diff ) {
+
+ // Cache the index of each encountered element
+ if ( useCache ) {
+ outerCache = node[ expando ] ||
+ ( node[ expando ] = {} );
+
+ // Support: IE <9 only
+ // Defend against cloned attroperties (jQuery gh-1709)
+ uniqueCache = outerCache[ node.uniqueID ] ||
+ ( outerCache[ node.uniqueID ] = {} );
+
+ uniqueCache[ type ] = [ dirruns, diff ];
+ }
+
+ if ( node === elem ) {
+ break;
+ }
+ }
+ }
+ }
+ }
+
+ // Incorporate the offset, then check against cycle size
+ diff -= last;
+ return diff === first || ( diff % first === 0 && diff / first >= 0 );
+ }
+ };
+ },
+
+ "PSEUDO": function( pseudo, argument ) {
+
+ // pseudo-class names are case-insensitive
+ // http://www.w3.org/TR/selectors/#pseudo-classes
+ // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
+ // Remember that setFilters inherits from pseudos
+ var args,
+ fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
+ Sizzle.error( "unsupported pseudo: " + pseudo );
+
+ // The user may use createPseudo to indicate that
+ // arguments are needed to create the filter function
+ // just as Sizzle does
+ if ( fn[ expando ] ) {
+ return fn( argument );
+ }
+
+ // But maintain support for old signatures
+ if ( fn.length > 1 ) {
+ args = [ pseudo, pseudo, "", argument ];
+ return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
+ markFunction( function( seed, matches ) {
+ var idx,
+ matched = fn( seed, argument ),
+ i = matched.length;
+ while ( i-- ) {
+ idx = indexOf( seed, matched[ i ] );
+ seed[ idx ] = !( matches[ idx ] = matched[ i ] );
+ }
+ } ) :
+ function( elem ) {
+ return fn( elem, 0, args );
+ };
+ }
+
+ return fn;
+ }
+ },
+
+ pseudos: {
+
+ // Potentially complex pseudos
+ "not": markFunction( function( selector ) {
+
+ // Trim the selector passed to compile
+ // to avoid treating leading and trailing
+ // spaces as combinators
+ var input = [],
+ results = [],
+ matcher = compile( selector.replace( rtrim, "$1" ) );
+
+ return matcher[ expando ] ?
+ markFunction( function( seed, matches, _context, xml ) {
+ var elem,
+ unmatched = matcher( seed, null, xml, [] ),
+ i = seed.length;
+
+ // Match elements unmatched by `matcher`
+ while ( i-- ) {
+ if ( ( elem = unmatched[ i ] ) ) {
+ seed[ i ] = !( matches[ i ] = elem );
+ }
+ }
+ } ) :
+ function( elem, _context, xml ) {
+ input[ 0 ] = elem;
+ matcher( input, null, xml, results );
+
+ // Don't keep the element (issue #299)
+ input[ 0 ] = null;
+ return !results.pop();
+ };
+ } ),
+
+ "has": markFunction( function( selector ) {
+ return function( elem ) {
+ return Sizzle( selector, elem ).length > 0;
+ };
+ } ),
+
+ "contains": markFunction( function( text ) {
+ text = text.replace( runescape, funescape );
+ return function( elem ) {
+ return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
+ };
+ } ),
+
+ // "Whether an element is represented by a :lang() selector
+ // is based solely on the element's language value
+ // being equal to the identifier C,
+ // or beginning with the identifier C immediately followed by "-".
+ // The matching of C against the element's language value is performed case-insensitively.
+ // The identifier C does not have to be a valid language name."
+ // http://www.w3.org/TR/selectors/#lang-pseudo
+ "lang": markFunction( function( lang ) {
+
+ // lang value must be a valid identifier
+ if ( !ridentifier.test( lang || "" ) ) {
+ Sizzle.error( "unsupported lang: " + lang );
+ }
+ lang = lang.replace( runescape, funescape ).toLowerCase();
+ return function( elem ) {
+ var elemLang;
+ do {
+ if ( ( elemLang = documentIsHTML ?
+ elem.lang :
+ elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
+
+ elemLang = elemLang.toLowerCase();
+ return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
+ }
+ } while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
+ return false;
+ };
+ } ),
+
+ // Miscellaneous
+ "target": function( elem ) {
+ var hash = window.location && window.location.hash;
+ return hash && hash.slice( 1 ) === elem.id;
+ },
+
+ "root": function( elem ) {
+ return elem === docElem;
+ },
+
+ "focus": function( elem ) {
+ return elem === document.activeElement &&
+ ( !document.hasFocus || document.hasFocus() ) &&
+ !!( elem.type || elem.href || ~elem.tabIndex );
+ },
+
+ // Boolean properties
+ "enabled": createDisabledPseudo( false ),
+ "disabled": createDisabledPseudo( true ),
+
+ "checked": function( elem ) {
+
+ // In CSS3, :checked should return both checked and selected elements
+ // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+ var nodeName = elem.nodeName.toLowerCase();
+ return ( nodeName === "input" && !!elem.checked ) ||
+ ( nodeName === "option" && !!elem.selected );
+ },
+
+ "selected": function( elem ) {
+
+ // Accessing this property makes selected-by-default
+ // options in Safari work properly
+ if ( elem.parentNode ) {
+ // eslint-disable-next-line no-unused-expressions
+ elem.parentNode.selectedIndex;
+ }
+
+ return elem.selected === true;
+ },
+
+ // Contents
+ "empty": function( elem ) {
+
+ // http://www.w3.org/TR/selectors/#empty-pseudo
+ // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
+ // but not by others (comment: 8; processing instruction: 7; etc.)
+ // nodeType < 6 works because attributes (2) do not appear as children
+ for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+ if ( elem.nodeType < 6 ) {
+ return false;
+ }
+ }
+ return true;
+ },
+
+ "parent": function( elem ) {
+ return !Expr.pseudos[ "empty" ]( elem );
+ },
+
+ // Element/input types
+ "header": function( elem ) {
+ return rheader.test( elem.nodeName );
+ },
+
+ "input": function( elem ) {
+ return rinputs.test( elem.nodeName );
+ },
+
+ "button": function( elem ) {
+ var name = elem.nodeName.toLowerCase();
+ return name === "input" && elem.type === "button" || name === "button";
+ },
+
+ "text": function( elem ) {
+ var attr;
+ return elem.nodeName.toLowerCase() === "input" &&
+ elem.type === "text" &&
+
+ // Support: IE<8
+ // New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
+ ( ( attr = elem.getAttribute( "type" ) ) == null ||
+ attr.toLowerCase() === "text" );
+ },
+
+ // Position-in-collection
+ "first": createPositionalPseudo( function() {
+ return [ 0 ];
+ } ),
+
+ "last": createPositionalPseudo( function( _matchIndexes, length ) {
+ return [ length - 1 ];
+ } ),
+
+ "eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
+ return [ argument < 0 ? argument + length : argument ];
+ } ),
+
+ "even": createPositionalPseudo( function( matchIndexes, length ) {
+ var i = 0;
+ for ( ; i < length; i += 2 ) {
+ matchIndexes.push( i );
+ }
+ return matchIndexes;
+ } ),
+
+ "odd": createPositionalPseudo( function( matchIndexes, length ) {
+ var i = 1;
+ for ( ; i < length; i += 2 ) {
+ matchIndexes.push( i );
+ }
+ return matchIndexes;
+ } ),
+
+ "lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+ var i = argument < 0 ?
+ argument + length :
+ argument > length ?
+ length :
+ argument;
+ for ( ; --i >= 0; ) {
+ matchIndexes.push( i );
+ }
+ return matchIndexes;
+ } ),
+
+ "gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+ var i = argument < 0 ? argument + length : argument;
+ for ( ; ++i < length; ) {
+ matchIndexes.push( i );
+ }
+ return matchIndexes;
+ } )
+ }
+};
+
+Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
+
+// Add button/input type pseudos
+for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
+ Expr.pseudos[ i ] = createInputPseudo( i );
+}
+for ( i in { submit: true, reset: true } ) {
+ Expr.pseudos[ i ] = createButtonPseudo( i );
+}
+
+// Easy API for creating new setFilters
+function setFilters() {}
+setFilters.prototype = Expr.filters = Expr.pseudos;
+Expr.setFilters = new setFilters();
+
+tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
+ var matched, match, tokens, type,
+ soFar, groups, preFilters,
+ cached = tokenCache[ selector + " " ];
+
+ if ( cached ) {
+ return parseOnly ? 0 : cached.slice( 0 );
+ }
+
+ soFar = selector;
+ groups = [];
+ preFilters = Expr.preFilter;
+
+ while ( soFar ) {
+
+ // Comma and first run
+ if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
+ if ( match ) {
+
+ // Don't consume trailing commas as valid
+ soFar = soFar.slice( match[ 0 ].length ) || soFar;
+ }
+ groups.push( ( tokens = [] ) );
+ }
+
+ matched = false;
+
+ // Combinators
+ if ( ( match = rcombinators.exec( soFar ) ) ) {
+ matched = match.shift();
+ tokens.push( {
+ value: matched,
+
+ // Cast descendant combinators to space
+ type: match[ 0 ].replace( rtrim, " " )
+ } );
+ soFar = soFar.slice( matched.length );
+ }
+
+ // Filters
+ for ( type in Expr.filter ) {
+ if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
+ ( match = preFilters[ type ]( match ) ) ) ) {
+ matched = match.shift();
+ tokens.push( {
+ value: matched,
+ type: type,
+ matches: match
+ } );
+ soFar = soFar.slice( matched.length );
+ }
+ }
+
+ if ( !matched ) {
+ break;
+ }
+ }
+
+ // Return the length of the invalid excess
+ // if we're just parsing
+ // Otherwise, throw an error or return tokens
+ return parseOnly ?
+ soFar.length :
+ soFar ?
+ Sizzle.error( selector ) :
+
+ // Cache the tokens
+ tokenCache( selector, groups ).slice( 0 );
+};
+
+function toSelector( tokens ) {
+ var i = 0,
+ len = tokens.length,
+ selector = "";
+ for ( ; i < len; i++ ) {
+ selector += tokens[ i ].value;
+ }
+ return selector;
+}
+
+function addCombinator( matcher, combinator, base ) {
+ var dir = combinator.dir,
+ skip = combinator.next,
+ key = skip || dir,
+ checkNonElements = base && key === "parentNode",
+ doneName = done++;
+
+ return combinator.first ?
+
+ // Check against closest ancestor/preceding element
+ function( elem, context, xml ) {
+ while ( ( elem = elem[ dir ] ) ) {
+ if ( elem.nodeType === 1 || checkNonElements ) {
+ return matcher( elem, context, xml );
+ }
+ }
+ return false;
+ } :
+
+ // Check against all ancestor/preceding elements
+ function( elem, context, xml ) {
+ var oldCache, uniqueCache, outerCache,
+ newCache = [ dirruns, doneName ];
+
+ // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
+ if ( xml ) {
+ while ( ( elem = elem[ dir ] ) ) {
+ if ( elem.nodeType === 1 || checkNonElements ) {
+ if ( matcher( elem, context, xml ) ) {
+ return true;
+ }
+ }
+ }
+ } else {
+ while ( ( elem = elem[ dir ] ) ) {
+ if ( elem.nodeType === 1 || checkNonElements ) {
+ outerCache = elem[ expando ] || ( elem[ expando ] = {} );
+
+ // Support: IE <9 only
+ // Defend against cloned attroperties (jQuery gh-1709)
+ uniqueCache = outerCache[ elem.uniqueID ] ||
+ ( outerCache[ elem.uniqueID ] = {} );
+
+ if ( skip && skip === elem.nodeName.toLowerCase() ) {
+ elem = elem[ dir ] || elem;
+ } else if ( ( oldCache = uniqueCache[ key ] ) &&
+ oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
+
+ // Assign to newCache so results back-propagate to previous elements
+ return ( newCache[ 2 ] = oldCache[ 2 ] );
+ } else {
+
+ // Reuse newcache so results back-propagate to previous elements
+ uniqueCache[ key ] = newCache;
+
+ // A match means we're done; a fail means we have to keep checking
+ if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
+ return true;
+ }
+ }
+ }
+ }
+ }
+ return false;
+ };
+}
+
+function elementMatcher( matchers ) {
+ return matchers.length > 1 ?
+ function( elem, context, xml ) {
+ var i = matchers.length;
+ while ( i-- ) {
+ if ( !matchers[ i ]( elem, context, xml ) ) {
+ return false;
+ }
+ }
+ return true;
+ } :
+ matchers[ 0 ];
+}
+
+function multipleContexts( selector, contexts, results ) {
+ var i = 0,
+ len = contexts.length;
+ for ( ; i < len; i++ ) {
+ Sizzle( selector, contexts[ i ], results );
+ }
+ return results;
+}
+
+function condense( unmatched, map, filter, context, xml ) {
+ var elem,
+ newUnmatched = [],
+ i = 0,
+ len = unmatched.length,
+ mapped = map != null;
+
+ for ( ; i < len; i++ ) {
+ if ( ( elem = unmatched[ i ] ) ) {
+ if ( !filter || filter( elem, context, xml ) ) {
+ newUnmatched.push( elem );
+ if ( mapped ) {
+ map.push( i );
+ }
+ }
+ }
+ }
+
+ return newUnmatched;
+}
+
+function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
+ if ( postFilter && !postFilter[ expando ] ) {
+ postFilter = setMatcher( postFilter );
+ }
+ if ( postFinder && !postFinder[ expando ] ) {
+ postFinder = setMatcher( postFinder, postSelector );
+ }
+ return markFunction( function( seed, results, context, xml ) {
+ var temp, i, elem,
+ preMap = [],
+ postMap = [],
+ preexisting = results.length,
+
+ // Get initial elements from seed or context
+ elems = seed || multipleContexts(
+ selector || "*",
+ context.nodeType ? [ context ] : context,
+ []
+ ),
+
+ // Prefilter to get matcher input, preserving a map for seed-results synchronization
+ matcherIn = preFilter && ( seed || !selector ) ?
+ condense( elems, preMap, preFilter, context, xml ) :
+ elems,
+
+ matcherOut = matcher ?
+
+ // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
+ postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
+
+ // ...intermediate processing is necessary
+ [] :
+
+ // ...otherwise use results directly
+ results :
+ matcherIn;
+
+ // Find primary matches
+ if ( matcher ) {
+ matcher( matcherIn, matcherOut, context, xml );
+ }
+
+ // Apply postFilter
+ if ( postFilter ) {
+ temp = condense( matcherOut, postMap );
+ postFilter( temp, [], context, xml );
+
+ // Un-match failing elements by moving them back to matcherIn
+ i = temp.length;
+ while ( i-- ) {
+ if ( ( elem = temp[ i ] ) ) {
+ matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
+ }
+ }
+ }
+
+ if ( seed ) {
+ if ( postFinder || preFilter ) {
+ if ( postFinder ) {
+
+ // Get the final matcherOut by condensing this intermediate into postFinder contexts
+ temp = [];
+ i = matcherOut.length;
+ while ( i-- ) {
+ if ( ( elem = matcherOut[ i ] ) ) {
+
+ // Restore matcherIn since elem is not yet a final match
+ temp.push( ( matcherIn[ i ] = elem ) );
+ }
+ }
+ postFinder( null, ( matcherOut = [] ), temp, xml );
+ }
+
+ // Move matched elements from seed to results to keep them synchronized
+ i = matcherOut.length;
+ while ( i-- ) {
+ if ( ( elem = matcherOut[ i ] ) &&
+ ( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
+
+ seed[ temp ] = !( results[ temp ] = elem );
+ }
+ }
+ }
+
+ // Add elements to results, through postFinder if defined
+ } else {
+ matcherOut = condense(
+ matcherOut === results ?
+ matcherOut.splice( preexisting, matcherOut.length ) :
+ matcherOut
+ );
+ if ( postFinder ) {
+ postFinder( null, results, matcherOut, xml );
+ } else {
+ push.apply( results, matcherOut );
+ }
+ }
+ } );
+}
+
+function matcherFromTokens( tokens ) {
+ var checkContext, matcher, j,
+ len = tokens.length,
+ leadingRelative = Expr.relative[ tokens[ 0 ].type ],
+ implicitRelative = leadingRelative || Expr.relative[ " " ],
+ i = leadingRelative ? 1 : 0,
+
+ // The foundational matcher ensures that elements are reachable from top-level context(s)
+ matchContext = addCombinator( function( elem ) {
+ return elem === checkContext;
+ }, implicitRelative, true ),
+ matchAnyContext = addCombinator( function( elem ) {
+ return indexOf( checkContext, elem ) > -1;
+ }, implicitRelative, true ),
+ matchers = [ function( elem, context, xml ) {
+ var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
+ ( checkContext = context ).nodeType ?
+ matchContext( elem, context, xml ) :
+ matchAnyContext( elem, context, xml ) );
+
+ // Avoid hanging onto element (issue #299)
+ checkContext = null;
+ return ret;
+ } ];
+
+ for ( ; i < len; i++ ) {
+ if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
+ matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
+ } else {
+ matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
+
+ // Return special upon seeing a positional matcher
+ if ( matcher[ expando ] ) {
+
+ // Find the next relative operator (if any) for proper handling
+ j = ++i;
+ for ( ; j < len; j++ ) {
+ if ( Expr.relative[ tokens[ j ].type ] ) {
+ break;
+ }
+ }
+ return setMatcher(
+ i > 1 && elementMatcher( matchers ),
+ i > 1 && toSelector(
+
+ // If the preceding token was a descendant combinator, insert an implicit any-element `*`
+ tokens
+ .slice( 0, i - 1 )
+ .concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
+ ).replace( rtrim, "$1" ),
+ matcher,
+ i < j && matcherFromTokens( tokens.slice( i, j ) ),
+ j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
+ j < len && toSelector( tokens )
+ );
+ }
+ matchers.push( matcher );
+ }
+ }
+
+ return elementMatcher( matchers );
+}
+
+function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
+ var bySet = setMatchers.length > 0,
+ byElement = elementMatchers.length > 0,
+ superMatcher = function( seed, context, xml, results, outermost ) {
+ var elem, j, matcher,
+ matchedCount = 0,
+ i = "0",
+ unmatched = seed && [],
+ setMatched = [],
+ contextBackup = outermostContext,
+
+ // We must always have either seed elements or outermost context
+ elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
+
+ // Use integer dirruns iff this is the outermost matcher
+ dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
+ len = elems.length;
+
+ if ( outermost ) {
+
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ // eslint-disable-next-line eqeqeq
+ outermostContext = context == document || context || outermost;
+ }
+
+ // Add elements passing elementMatchers directly to results
+ // Support: IE<9, Safari
+ // Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
+ for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
+ if ( byElement && elem ) {
+ j = 0;
+
+ // Support: IE 11+, Edge 17 - 18+
+ // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+ // two documents; shallow comparisons work.
+ // eslint-disable-next-line eqeqeq
+ if ( !context && elem.ownerDocument != document ) {
+ setDocument( elem );
+ xml = !documentIsHTML;
+ }
+ while ( ( matcher = elementMatchers[ j++ ] ) ) {
+ if ( matcher( elem, context || document, xml ) ) {
+ results.push( elem );
+ break;
+ }
+ }
+ if ( outermost ) {
+ dirruns = dirrunsUnique;
+ }
+ }
+
+ // Track unmatched elements for set filters
+ if ( bySet ) {
+
+ // They will have gone through all possible matchers
+ if ( ( elem = !matcher && elem ) ) {
+ matchedCount--;
+ }
+
+ // Lengthen the array for every element, matched or not
+ if ( seed ) {
+ unmatched.push( elem );
+ }
+ }
+ }
+
+ // `i` is now the count of elements visited above, and adding it to `matchedCount`
+ // makes the latter nonnegative.
+ matchedCount += i;
+
+ // Apply set filters to unmatched elements
+ // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
+ // equals `i`), unless we didn't visit _any_ elements in the above loop because we have
+ // no element matchers and no seed.
+ // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
+ // case, which will result in a "00" `matchedCount` that differs from `i` but is also
+ // numerically zero.
+ if ( bySet && i !== matchedCount ) {
+ j = 0;
+ while ( ( matcher = setMatchers[ j++ ] ) ) {
+ matcher( unmatched, setMatched, context, xml );
+ }
+
+ if ( seed ) {
+
+ // Reintegrate element matches to eliminate the need for sorting
+ if ( matchedCount > 0 ) {
+ while ( i-- ) {
+ if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
+ setMatched[ i ] = pop.call( results );
+ }
+ }
+ }
+
+ // Discard index placeholder values to get only actual matches
+ setMatched = condense( setMatched );
+ }
+
+ // Add matches to results
+ push.apply( results, setMatched );
+
+ // Seedless set matches succeeding multiple successful matchers stipulate sorting
+ if ( outermost && !seed && setMatched.length > 0 &&
+ ( matchedCount + setMatchers.length ) > 1 ) {
+
+ Sizzle.uniqueSort( results );
+ }
+ }
+
+ // Override manipulation of globals by nested matchers
+ if ( outermost ) {
+ dirruns = dirrunsUnique;
+ outermostContext = contextBackup;
+ }
+
+ return unmatched;
+ };
+
+ return bySet ?
+ markFunction( superMatcher ) :
+ superMatcher;
+}
+
+compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
+ var i,
+ setMatchers = [],
+ elementMatchers = [],
+ cached = compilerCache[ selector + " " ];
+
+ if ( !cached ) {
+
+ // Generate a function of recursive functions that can be used to check each element
+ if ( !match ) {
+ match = tokenize( selector );
+ }
+ i = match.length;
+ while ( i-- ) {
+ cached = matcherFromTokens( match[ i ] );
+ if ( cached[ expando ] ) {
+ setMatchers.push( cached );
+ } else {
+ elementMatchers.push( cached );
+ }
+ }
+
+ // Cache the compiled function
+ cached = compilerCache(
+ selector,
+ matcherFromGroupMatchers( elementMatchers, setMatchers )
+ );
+
+ // Save selector and tokenization
+ cached.selector = selector;
+ }
+ return cached;
+};
+
+/**
+ * A low-level selection function that works with Sizzle's compiled
+ * selector functions
+ * @param {String|Function} selector A selector or a pre-compiled
+ * selector function built with Sizzle.compile
+ * @param {Element} context
+ * @param {Array} [results]
+ * @param {Array} [seed] A set of elements to match against
+ */
+select = Sizzle.select = function( selector, context, results, seed ) {
+ var i, tokens, token, type, find,
+ compiled = typeof selector === "function" && selector,
+ match = !seed && tokenize( ( selector = compiled.selector || selector ) );
+
+ results = results || [];
+
+ // Try to minimize operations if there is only one selector in the list and no seed
+ // (the latter of which guarantees us context)
+ if ( match.length === 1 ) {
+
+ // Reduce context if the leading compound selector is an ID
+ tokens = match[ 0 ] = match[ 0 ].slice( 0 );
+ if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
+ context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
+
+ context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
+ .replace( runescape, funescape ), context ) || [] )[ 0 ];
+ if ( !context ) {
+ return results;
+
+ // Precompiled matchers will still verify ancestry, so step up a level
+ } else if ( compiled ) {
+ context = context.parentNode;
+ }
+
+ selector = selector.slice( tokens.shift().value.length );
+ }
+
+ // Fetch a seed set for right-to-left matching
+ i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
+ while ( i-- ) {
+ token = tokens[ i ];
+
+ // Abort if we hit a combinator
+ if ( Expr.relative[ ( type = token.type ) ] ) {
+ break;
+ }
+ if ( ( find = Expr.find[ type ] ) ) {
+
+ // Search, expanding context for leading sibling combinators
+ if ( ( seed = find(
+ token.matches[ 0 ].replace( runescape, funescape ),
+ rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
+ context
+ ) ) ) {
+
+ // If seed is empty or no tokens remain, we can return early
+ tokens.splice( i, 1 );
+ selector = seed.length && toSelector( tokens );
+ if ( !selector ) {
+ push.apply( results, seed );
+ return results;
+ }
+
+ break;
+ }
+ }
+ }
+ }
+
+ // Compile and execute a filtering function if one is not provided
+ // Provide `match` to avoid retokenization if we modified the selector above
+ ( compiled || compile( selector, match ) )(
+ seed,
+ context,
+ !documentIsHTML,
+ results,
+ !context || rsibling.test( selector ) && testContext( context.parentNode ) || context
+ );
+ return results;
+};
+
+// One-time assignments
+
+// Sort stability
+support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
+
+// Support: Chrome 14-35+
+// Always assume duplicates if they aren't passed to the comparison function
+support.detectDuplicates = !!hasDuplicate;
+
+// Initialize against the default document
+setDocument();
+
+// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
+// Detached nodes confoundingly follow *each other*
+support.sortDetached = assert( function( el ) {
+
+ // Should return 1, but returns 4 (following)
+ return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
+} );
+
+// Support: IE<8
+// Prevent attribute/property "interpolation"
+// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
+if ( !assert( function( el ) {
+ el.innerHTML = "<a href='#'></a>";
+ return el.firstChild.getAttribute( "href" ) === "#";
+} ) ) {
+ addHandle( "type|href|height|width", function( elem, name, isXML ) {
+ if ( !isXML ) {
+ return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
+ }
+ } );
+}
+
+// Support: IE<9
+// Use defaultValue in place of getAttribute("value")
+if ( !support.attributes || !assert( function( el ) {
+ el.innerHTML = "<input/>";
+ el.firstChild.setAttribute( "value", "" );
+ return el.firstChild.getAttribute( "value" ) === "";
+} ) ) {
+ addHandle( "value", function( elem, _name, isXML ) {
+ if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
+ return elem.defaultValue;
+ }
+ } );
+}
+
+// Support: IE<9
+// Use getAttributeNode to fetch booleans when getAttribute lies
+if ( !assert( function( el ) {
+ return el.getAttribute( "disabled" ) == null;
+} ) ) {
+ addHandle( booleans, function( elem, name, isXML ) {
+ var val;
+ if ( !isXML ) {
+ return elem[ name ] === true ? name.toLowerCase() :
+ ( val = elem.getAttributeNode( name ) ) && val.specified ?
+ val.value :
+ null;
+ }
+ } );
+}
+
+return Sizzle;
+
+} )( window );
+
+
+
+jQuery.find = Sizzle;
+jQuery.expr = Sizzle.selectors;
+
+// Deprecated
+jQuery.expr[ ":" ] = jQuery.expr.pseudos;
+jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
+jQuery.text = Sizzle.getText;
+jQuery.isXMLDoc = Sizzle.isXML;
+jQuery.contains = Sizzle.contains;
+jQuery.escapeSelector = Sizzle.escape;
+
+
+
+
+var dir = function( elem, dir, until ) {
+ var matched = [],
+ truncate = until !== undefined;
+
+ while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
+ if ( elem.nodeType === 1 ) {
+ if ( truncate && jQuery( elem ).is( until ) ) {
+ break;
+ }
+ matched.push( elem );
+ }
+ }
+ return matched;
+};
+
+
+var siblings = function( n, elem ) {
+ var matched = [];
+
+ for ( ; n; n = n.nextSibling ) {
+ if ( n.nodeType === 1 && n !== elem ) {
+ matched.push( n );
+ }
+ }
+
+ return matched;
+};
+
+
+var rneedsContext = jQuery.expr.match.needsContext;
+
+
+
+function nodeName( elem, name ) {
+
+ return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+
+};
+var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
+
+
+
+// Implement the identical functionality for filter and not
+function winnow( elements, qualifier, not ) {
+ if ( isFunction( qualifier ) ) {
+ return jQuery.grep( elements, function( elem, i ) {
+ return !!qualifier.call( elem, i, elem ) !== not;
+ } );
+ }
+
+ // Single element
+ if ( qualifier.nodeType ) {
+ return jQuery.grep( elements, function( elem ) {
+ return ( elem === qualifier ) !== not;
+ } );
+ }
+
+ // Arraylike of elements (jQuery, arguments, Array)
+ if ( typeof qualifier !== "string" ) {
+ return jQuery.grep( elements, function( elem ) {
+ return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
+ } );
+ }
+
+ // Filtered directly for both simple and complex selectors
+ return jQuery.filter( qualifier, elements, not );
+}
+
+jQuery.filter = function( expr, elems, not ) {
+ var elem = elems[ 0 ];
+
+ if ( not ) {
+ expr = ":not(" + expr + ")";
+ }
+
+ if ( elems.length === 1 && elem.nodeType === 1 ) {
+ return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
+ }
+
+ return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
+ return elem.nodeType === 1;
+ } ) );
+};
+
+jQuery.fn.extend( {
+ find: function( selector ) {
+ var i, ret,
+ len = this.length,
+ self = this;
+
+ if ( typeof selector !== "string" ) {
+ return this.pushStack( jQuery( selector ).filter( function() {
+ for ( i = 0; i < len; i++ ) {
+ if ( jQuery.contains( self[ i ], this ) ) {
+ return true;
+ }
+ }
+ } ) );
+ }
+
+ ret = this.pushStack( [] );
+
+ for ( i = 0; i < len; i++ ) {
+ jQuery.find( selector, self[ i ], ret );
+ }
+
+ return len > 1 ? jQuery.uniqueSort( ret ) : ret;
+ },
+ filter: function( selector ) {
+ return this.pushStack( winnow( this, selector || [], false ) );
+ },
+ not: function( selector ) {
+ return this.pushStack( winnow( this, selector || [], true ) );
+ },
+ is: function( selector ) {
+ return !!winnow(
+ this,
+
+ // If this is a positional/relative selector, check membership in the returned set
+ // so $("p:first").is("p:last") won't return true for a doc with two "p".
+ typeof selector === "string" && rneedsContext.test( selector ) ?
+ jQuery( selector ) :
+ selector || [],
+ false
+ ).length;
+ }
+} );
+
+
+// Initialize a jQuery object
+
+
+// A central reference to the root jQuery(document)
+var rootjQuery,
+
+ // A simple way to check for HTML strings
+ // Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+ // Strict HTML recognition (#11290: must start with <)
+ // Shortcut simple #id case for speed
+ rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
+
+ init = jQuery.fn.init = function( selector, context, root ) {
+ var match, elem;
+
+ // HANDLE: $(""), $(null), $(undefined), $(false)
+ if ( !selector ) {
+ return this;
+ }
+
+ // Method init() accepts an alternate rootjQuery
+ // so migrate can support jQuery.sub (gh-2101)
+ root = root || rootjQuery;
+
+ // Handle HTML strings
+ if ( typeof selector === "string" ) {
+ if ( selector[ 0 ] === "<" &&
+ selector[ selector.length - 1 ] === ">" &&
+ selector.length >= 3 ) {
+
+ // Assume that strings that start and end with <> are HTML and skip the regex check
+ match = [ null, selector, null ];
+
+ } else {
+ match = rquickExpr.exec( selector );
+ }
+
+ // Match html or make sure no context is specified for #id
+ if ( match && ( match[ 1 ] || !context ) ) {
+
+ // HANDLE: $(html) -> $(array)
+ if ( match[ 1 ] ) {
+ context = context instanceof jQuery ? context[ 0 ] : context;
+
+ // Option to run scripts is true for back-compat
+ // Intentionally let the error be thrown if parseHTML is not present
+ jQuery.merge( this, jQuery.parseHTML(
+ match[ 1 ],
+ context && context.nodeType ? context.ownerDocument || context : document,
+ true
+ ) );
+
+ // HANDLE: $(html, props)
+ if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
+ for ( match in context ) {
+
+ // Properties of context are called as methods if possible
+ if ( isFunction( this[ match ] ) ) {
+ this[ match ]( context[ match ] );
+
+ // ...and otherwise set as attributes
+ } else {
+ this.attr( match, context[ match ] );
+ }
+ }
+ }
+
+ return this;
+
+ // HANDLE: $(#id)
+ } else {
+ elem = document.getElementById( match[ 2 ] );
+
+ if ( elem ) {
+
+ // Inject the element directly into the jQuery object
+ this[ 0 ] = elem;
+ this.length = 1;
+ }
+ return this;
+ }
+
+ // HANDLE: $(expr, $(...))
+ } else if ( !context || context.jquery ) {
+ return ( context || root ).find( selector );
+
+ // HANDLE: $(expr, context)
+ // (which is just equivalent to: $(context).find(expr)
+ } else {
+ return this.constructor( context ).find( selector );
+ }
+
+ // HANDLE: $(DOMElement)
+ } else if ( selector.nodeType ) {
+ this[ 0 ] = selector;
+ this.length = 1;
+ return this;
+
+ // HANDLE: $(function)
+ // Shortcut for document ready
+ } else if ( isFunction( selector ) ) {
+ return root.ready !== undefined ?
+ root.ready( selector ) :
+
+ // Execute immediately if ready is not present
+ selector( jQuery );
+ }
+
+ return jQuery.makeArray( selector, this );
+ };
+
+// Give the init function the jQuery prototype for later instantiation
+init.prototype = jQuery.fn;
+
+// Initialize central reference
+rootjQuery = jQuery( document );
+
+
+var rparentsprev = /^(?:parents|prev(?:Until|All))/,
+
+ // Methods guaranteed to produce a unique set when starting from a unique set
+ guaranteedUnique = {
+ children: true,
+ contents: true,
+ next: true,
+ prev: true
+ };
+
+jQuery.fn.extend( {
+ has: function( target ) {
+ var targets = jQuery( target, this ),
+ l = targets.length;
+
+ return this.filter( function() {
+ var i = 0;
+ for ( ; i < l; i++ ) {
+ if ( jQuery.contains( this, targets[ i ] ) ) {
+ return true;
+ }
+ }
+ } );
+ },
+
+ closest: function( selectors, context ) {
+ var cur,
+ i = 0,
+ l = this.length,
+ matched = [],
+ targets = typeof selectors !== "string" && jQuery( selectors );
+
+ // Positional selectors never match, since there's no _selection_ context
+ if ( !rneedsContext.test( selectors ) ) {
+ for ( ; i < l; i++ ) {
+ for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
+
+ // Always skip document fragments
+ if ( cur.nodeType < 11 && ( targets ?
+ targets.index( cur ) > -1 :
+
+ // Don't pass non-elements to Sizzle
+ cur.nodeType === 1 &&
+ jQuery.find.matchesSelector( cur, selectors ) ) ) {
+
+ matched.push( cur );
+ break;
+ }
+ }
+ }
+ }
+
+ return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
+ },
+
+ // Determine the position of an element within the set
+ index: function( elem ) {
+
+ // No argument, return index in parent
+ if ( !elem ) {
+ return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
+ }
+
+ // Index in selector
+ if ( typeof elem === "string" ) {
+ return indexOf.call( jQuery( elem ), this[ 0 ] );
+ }
+
+ // Locate the position of the desired element
+ return indexOf.call( this,
+
+ // If it receives a jQuery object, the first element is used
+ elem.jquery ? elem[ 0 ] : elem
+ );
+ },
+
+ add: function( selector, context ) {
+ return this.pushStack(
+ jQuery.uniqueSort(
+ jQuery.merge( this.get(), jQuery( selector, context ) )
+ )
+ );
+ },
+
+ addBack: function( selector ) {
+ return this.add( selector == null ?
+ this.prevObject : this.prevObject.filter( selector )
+ );
+ }
+} );
+
+function sibling( cur, dir ) {
+ while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
+ return cur;
+}
+
+jQuery.each( {
+ parent: function( elem ) {
+ var parent = elem.parentNode;
+ return parent && parent.nodeType !== 11 ? parent : null;
+ },
+ parents: function( elem ) {
+ return dir( elem, "parentNode" );
+ },
+ parentsUntil: function( elem, _i, until ) {
+ return dir( elem, "parentNode", until );
+ },
+ next: function( elem ) {
+ return sibling( elem, "nextSibling" );
+ },
+ prev: function( elem ) {
+ return sibling( elem, "previousSibling" );
+ },
+ nextAll: function( elem ) {
+ return dir( elem, "nextSibling" );
+ },
+ prevAll: function( elem ) {
+ return dir( elem, "previousSibling" );
+ },
+ nextUntil: function( elem, _i, until ) {
+ return dir( elem, "nextSibling", until );
+ },
+ prevUntil: function( elem, _i, until ) {
+ return dir( elem, "previousSibling", until );
+ },
+ siblings: function( elem ) {
+ return siblings( ( elem.parentNode || {} ).firstChild, elem );
+ },
+ children: function( elem ) {
+ return siblings( elem.firstChild );
+ },
+ contents: function( elem ) {
+ if ( elem.contentDocument != null &&
+
+ // Support: IE 11+
+ // <object> elements with no `data` attribute has an object
+ // `contentDocument` with a `null` prototype.
+ getProto( elem.contentDocument ) ) {
+
+ return elem.contentDocument;
+ }
+
+ // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
+ // Treat the template element as a regular one in browsers that
+ // don't support it.
+ if ( nodeName( elem, "template" ) ) {
+ elem = elem.content || elem;
+ }
+
+ return jQuery.merge( [], elem.childNodes );
+ }
+}, function( name, fn ) {
+ jQuery.fn[ name ] = function( until, selector ) {
+ var matched = jQuery.map( this, fn, until );
+
+ if ( name.slice( -5 ) !== "Until" ) {
+ selector = until;
+ }
+
+ if ( selector && typeof selector === "string" ) {
+ matched = jQuery.filter( selector, matched );
+ }
+
+ if ( this.length > 1 ) {
+
+ // Remove duplicates
+ if ( !guaranteedUnique[ name ] ) {
+ jQuery.uniqueSort( matched );
+ }
+
+ // Reverse order for parents* and prev-derivatives
+ if ( rparentsprev.test( name ) ) {
+ matched.reverse();
+ }
+ }
+
+ return this.pushStack( matched );
+ };
+} );
+var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
+
+
+
+// Convert String-formatted options into Object-formatted ones
+function createOptions( options ) {
+ var object = {};
+ jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
+ object[ flag ] = true;
+ } );
+ return object;
+}
+
+/*
+ * Create a callback list using the following parameters:
+ *
+ * options: an optional list of space-separated options that will change how
+ * the callback list behaves or a more traditional option object
+ *
+ * By default a callback list will act like an event callback list and can be
+ * "fired" multiple times.
+ *
+ * Possible options:
+ *
+ * once: will ensure the callback list can only be fired once (like a Deferred)
+ *
+ * memory: will keep track of previous values and will call any callback added
+ * after the list has been fired right away with the latest "memorized"
+ * values (like a Deferred)
+ *
+ * unique: will ensure a callback can only be added once (no duplicate in the list)
+ *
+ * stopOnFalse: interrupt callings when a callback returns false
+ *
+ */
+jQuery.Callbacks = function( options ) {
+
+ // Convert options from String-formatted to Object-formatted if needed
+ // (we check in cache first)
+ options = typeof options === "string" ?
+ createOptions( options ) :
+ jQuery.extend( {}, options );
+
+ var // Flag to know if list is currently firing
+ firing,
+
+ // Last fire value for non-forgettable lists
+ memory,
+
+ // Flag to know if list was already fired
+ fired,
+
+ // Flag to prevent firing
+ locked,
+
+ // Actual callback list
+ list = [],
+
+ // Queue of execution data for repeatable lists
+ queue = [],
+
+ // Index of currently firing callback (modified by add/remove as needed)
+ firingIndex = -1,
+
+ // Fire callbacks
+ fire = function() {
+
+ // Enforce single-firing
+ locked = locked || options.once;
+
+ // Execute callbacks for all pending executions,
+ // respecting firingIndex overrides and runtime changes
+ fired = firing = true;
+ for ( ; queue.length; firingIndex = -1 ) {
+ memory = queue.shift();
+ while ( ++firingIndex < list.length ) {
+
+ // Run callback and check for early termination
+ if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
+ options.stopOnFalse ) {
+
+ // Jump to end and forget the data so .add doesn't re-fire
+ firingIndex = list.length;
+ memory = false;
+ }
+ }
+ }
+
+ // Forget the data if we're done with it
+ if ( !options.memory ) {
+ memory = false;
+ }
+
+ firing = false;
+
+ // Clean up if we're done firing for good
+ if ( locked ) {
+
+ // Keep an empty list if we have data for future add calls
+ if ( memory ) {
+ list = [];
+
+ // Otherwise, this object is spent
+ } else {
+ list = "";
+ }
+ }
+ },
+
+ // Actual Callbacks object
+ self = {
+
+ // Add a callback or a collection of callbacks to the list
+ add: function() {
+ if ( list ) {
+
+ // If we have memory from a past run, we should fire after adding
+ if ( memory && !firing ) {
+ firingIndex = list.length - 1;
+ queue.push( memory );
+ }
+
+ ( function add( args ) {
+ jQuery.each( args, function( _, arg ) {
+ if ( isFunction( arg ) ) {
+ if ( !options.unique || !self.has( arg ) ) {
+ list.push( arg );
+ }
+ } else if ( arg && arg.length && toType( arg ) !== "string" ) {
+
+ // Inspect recursively
+ add( arg );
+ }
+ } );
+ } )( arguments );
+
+ if ( memory && !firing ) {
+ fire();
+ }
+ }
+ return this;
+ },
+
+ // Remove a callback from the list
+ remove: function() {
+ jQuery.each( arguments, function( _, arg ) {
+ var index;
+ while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
+ list.splice( index, 1 );
+
+ // Handle firing indexes
+ if ( index <= firingIndex ) {
+ firingIndex--;
+ }
+ }
+ } );
+ return this;
+ },
+
+ // Check if a given callback is in the list.
+ // If no argument is given, return whether or not list has callbacks attached.
+ has: function( fn ) {
+ return fn ?
+ jQuery.inArray( fn, list ) > -1 :
+ list.length > 0;
+ },
+
+ // Remove all callbacks from the list
+ empty: function() {
+ if ( list ) {
+ list = [];
+ }
+ return this;
+ },
+
+ // Disable .fire and .add
+ // Abort any current/pending executions
+ // Clear all callbacks and values
+ disable: function() {
+ locked = queue = [];
+ list = memory = "";
+ return this;
+ },
+ disabled: function() {
+ return !list;
+ },
+
+ // Disable .fire
+ // Also disable .add unless we have memory (since it would have no effect)
+ // Abort any pending executions
+ lock: function() {
+ locked = queue = [];
+ if ( !memory && !firing ) {
+ list = memory = "";
+ }
+ return this;
+ },
+ locked: function() {
+ return !!locked;
+ },
+
+ // Call all callbacks with the given context and arguments
+ fireWith: function( context, args ) {
+ if ( !locked ) {
+ args = args || [];
+ args = [ context, args.slice ? args.slice() : args ];
+ queue.push( args );
+ if ( !firing ) {
+ fire();
+ }
+ }
+ return this;
+ },
+
+ // Call all the callbacks with the given arguments
+ fire: function() {
+ self.fireWith( this, arguments );
+ return this;
+ },
+
+ // To know if the callbacks have already been called at least once
+ fired: function() {
+ return !!fired;
+ }
+ };
+
+ return self;
+};
+
+
+function Identity( v ) {
+ return v;
+}
+function Thrower( ex ) {
+ throw ex;
+}
+
+function adoptValue( value, resolve, reject, noValue ) {
+ var method;
+
+ try {
+
+ // Check for promise aspect first to privilege synchronous behavior
+ if ( value && isFunction( ( method = value.promise ) ) ) {
+ method.call( value ).done( resolve ).fail( reject );
+
+ // Other thenables
+ } else if ( value && isFunction( ( method = value.then ) ) ) {
+ method.call( value, resolve, reject );
+
+ // Other non-thenables
+ } else {
+
+ // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
+ // * false: [ value ].slice( 0 ) => resolve( value )
+ // * true: [ value ].slice( 1 ) => resolve()
+ resolve.apply( undefined, [ value ].slice( noValue ) );
+ }
+
+ // For Promises/A+, convert exceptions into rejections
+ // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
+ // Deferred#then to conditionally suppress rejection.
+ } catch ( value ) {
+
+ // Support: Android 4.0 only
+ // Strict mode functions invoked without .call/.apply get global-object context
+ reject.apply( undefined, [ value ] );
+ }
+}
+
+jQuery.extend( {
+
+ Deferred: function( func ) {
+ var tuples = [
+
+ // action, add listener, callbacks,
+ // ... .then handlers, argument index, [final state]
+ [ "notify", "progress", jQuery.Callbacks( "memory" ),
+ jQuery.Callbacks( "memory" ), 2 ],
+ [ "resolve", "done", jQuery.Callbacks( "once memory" ),
+ jQuery.Callbacks( "once memory" ), 0, "resolved" ],
+ [ "reject", "fail", jQuery.Callbacks( "once memory" ),
+ jQuery.Callbacks( "once memory" ), 1, "rejected" ]
+ ],
+ state = "pending",
+ promise = {
+ state: function() {
+ return state;
+ },
+ always: function() {
+ deferred.done( arguments ).fail( arguments );
+ return this;
+ },
+ "catch": function( fn ) {
+ return promise.then( null, fn );
+ },
+
+ // Keep pipe for back-compat
+ pipe: function( /* fnDone, fnFail, fnProgress */ ) {
+ var fns = arguments;
+
+ return jQuery.Deferred( function( newDefer ) {
+ jQuery.each( tuples, function( _i, tuple ) {
+
+ // Map tuples (progress, done, fail) to arguments (done, fail, progress)
+ var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
+
+ // deferred.progress(function() { bind to newDefer or newDefer.notify })
+ // deferred.done(function() { bind to newDefer or newDefer.resolve })
+ // deferred.fail(function() { bind to newDefer or newDefer.reject })
+ deferred[ tuple[ 1 ] ]( function() {
+ var returned = fn && fn.apply( this, arguments );
+ if ( returned && isFunction( returned.promise ) ) {
+ returned.promise()
+ .progress( newDefer.notify )
+ .done( newDefer.resolve )
+ .fail( newDefer.reject );
+ } else {
+ newDefer[ tuple[ 0 ] + "With" ](
+ this,
+ fn ? [ returned ] : arguments
+ );
+ }
+ } );
+ } );
+ fns = null;
+ } ).promise();
+ },
+ then: function( onFulfilled, onRejected, onProgress ) {
+ var maxDepth = 0;
+ function resolve( depth, deferred, handler, special ) {
+ return function() {
+ var that = this,
+ args = arguments,
+ mightThrow = function() {
+ var returned, then;
+
+ // Support: Promises/A+ section 2.3.3.3.3
+ // https://promisesaplus.com/#point-59
+ // Ignore double-resolution attempts
+ if ( depth < maxDepth ) {
+ return;
+ }
+
+ returned = handler.apply( that, args );
+
+ // Support: Promises/A+ section 2.3.1
+ // https://promisesaplus.com/#point-48
+ if ( returned === deferred.promise() ) {
+ throw new TypeError( "Thenable self-resolution" );
+ }
+
+ // Support: Promises/A+ sections 2.3.3.1, 3.5
+ // https://promisesaplus.com/#point-54
+ // https://promisesaplus.com/#point-75
+ // Retrieve `then` only once
+ then = returned &&
+
+ // Support: Promises/A+ section 2.3.4
+ // https://promisesaplus.com/#point-64
+ // Only check objects and functions for thenability
+ ( typeof returned === "object" ||
+ typeof returned === "function" ) &&
+ returned.then;
+
+ // Handle a returned thenable
+ if ( isFunction( then ) ) {
+
+ // Special processors (notify) just wait for resolution
+ if ( special ) {
+ then.call(
+ returned,
+ resolve( maxDepth, deferred, Identity, special ),
+ resolve( maxDepth, deferred, Thrower, special )
+ );
+
+ // Normal processors (resolve) also hook into progress
+ } else {
+
+ // ...and disregard older resolution values
+ maxDepth++;
+
+ then.call(
+ returned,
+ resolve( maxDepth, deferred, Identity, special ),
+ resolve( maxDepth, deferred, Thrower, special ),
+ resolve( maxDepth, deferred, Identity,
+ deferred.notifyWith )
+ );
+ }
+
+ // Handle all other returned values
+ } else {
+
+ // Only substitute handlers pass on context
+ // and multiple values (non-spec behavior)
+ if ( handler !== Identity ) {
+ that = undefined;
+ args = [ returned ];
+ }
+
+ // Process the value(s)
+ // Default process is resolve
+ ( special || deferred.resolveWith )( that, args );
+ }
+ },
+
+ // Only normal processors (resolve) catch and reject exceptions
+ process = special ?
+ mightThrow :
+ function() {
+ try {
+ mightThrow();
+ } catch ( e ) {
+
+ if ( jQuery.Deferred.exceptionHook ) {
+ jQuery.Deferred.exceptionHook( e,
+ process.stackTrace );
+ }
+
+ // Support: Promises/A+ section 2.3.3.3.4.1
+ // https://promisesaplus.com/#point-61
+ // Ignore post-resolution exceptions
+ if ( depth + 1 >= maxDepth ) {
+
+ // Only substitute handlers pass on context
+ // and multiple values (non-spec behavior)
+ if ( handler !== Thrower ) {
+ that = undefined;
+ args = [ e ];
+ }
+
+ deferred.rejectWith( that, args );
+ }
+ }
+ };
+
+ // Support: Promises/A+ section 2.3.3.3.1
+ // https://promisesaplus.com/#point-57
+ // Re-resolve promises immediately to dodge false rejection from
+ // subsequent errors
+ if ( depth ) {
+ process();
+ } else {
+
+ // Call an optional hook to record the stack, in case of exception
+ // since it's otherwise lost when execution goes async
+ if ( jQuery.Deferred.getStackHook ) {
+ process.stackTrace = jQuery.Deferred.getStackHook();
+ }
+ window.setTimeout( process );
+ }
+ };
+ }
+
+ return jQuery.Deferred( function( newDefer ) {
+
+ // progress_handlers.add( ... )
+ tuples[ 0 ][ 3 ].add(
+ resolve(
+ 0,
+ newDefer,
+ isFunction( onProgress ) ?
+ onProgress :
+ Identity,
+ newDefer.notifyWith
+ )
+ );
+
+ // fulfilled_handlers.add( ... )
+ tuples[ 1 ][ 3 ].add(
+ resolve(
+ 0,
+ newDefer,
+ isFunction( onFulfilled ) ?
+ onFulfilled :
+ Identity
+ )
+ );
+
+ // rejected_handlers.add( ... )
+ tuples[ 2 ][ 3 ].add(
+ resolve(
+ 0,
+ newDefer,
+ isFunction( onRejected ) ?
+ onRejected :
+ Thrower
+ )
+ );
+ } ).promise();
+ },
+
+ // Get a promise for this deferred
+ // If obj is provided, the promise aspect is added to the object
+ promise: function( obj ) {
+ return obj != null ? jQuery.extend( obj, promise ) : promise;
+ }
+ },
+ deferred = {};
+
+ // Add list-specific methods
+ jQuery.each( tuples, function( i, tuple ) {
+ var list = tuple[ 2 ],
+ stateString = tuple[ 5 ];
+
+ // promise.progress = list.add
+ // promise.done = list.add
+ // promise.fail = list.add
+ promise[ tuple[ 1 ] ] = list.add;
+
+ // Handle state
+ if ( stateString ) {
+ list.add(
+ function() {
+
+ // state = "resolved" (i.e., fulfilled)
+ // state = "rejected"
+ state = stateString;
+ },
+
+ // rejected_callbacks.disable
+ // fulfilled_callbacks.disable
+ tuples[ 3 - i ][ 2 ].disable,
+
+ // rejected_handlers.disable
+ // fulfilled_handlers.disable
+ tuples[ 3 - i ][ 3 ].disable,
+
+ // progress_callbacks.lock
+ tuples[ 0 ][ 2 ].lock,
+
+ // progress_handlers.lock
+ tuples[ 0 ][ 3 ].lock
+ );
+ }
+
+ // progress_handlers.fire
+ // fulfilled_handlers.fire
+ // rejected_handlers.fire
+ list.add( tuple[ 3 ].fire );
+
+ // deferred.notify = function() { deferred.notifyWith(...) }
+ // deferred.resolve = function() { deferred.resolveWith(...) }
+ // deferred.reject = function() { deferred.rejectWith(...) }
+ deferred[ tuple[ 0 ] ] = function() {
+ deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
+ return this;
+ };
+
+ // deferred.notifyWith = list.fireWith
+ // deferred.resolveWith = list.fireWith
+ // deferred.rejectWith = list.fireWith
+ deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
+ } );
+
+ // Make the deferred a promise
+ promise.promise( deferred );
+
+ // Call given func if any
+ if ( func ) {
+ func.call( deferred, deferred );
+ }
+
+ // All done!
+ return deferred;
+ },
+
+ // Deferred helper
+ when: function( singleValue ) {
+ var
+
+ // count of uncompleted subordinates
+ remaining = arguments.length,
+
+ // count of unprocessed arguments
+ i = remaining,
+
+ // subordinate fulfillment data
+ resolveContexts = Array( i ),
+ resolveValues = slice.call( arguments ),
+
+ // the master Deferred
+ master = jQuery.Deferred(),
+
+ // subordinate callback factory
+ updateFunc = function( i ) {
+ return function( value ) {
+ resolveContexts[ i ] = this;
+ resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
+ if ( !( --remaining ) ) {
+ master.resolveWith( resolveContexts, resolveValues );
+ }
+ };
+ };
+
+ // Single- and empty arguments are adopted like Promise.resolve
+ if ( remaining <= 1 ) {
+ adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject,
+ !remaining );
+
+ // Use .then() to unwrap secondary thenables (cf. gh-3000)
+ if ( master.state() === "pending" ||
+ isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
+
+ return master.then();
+ }
+ }
+
+ // Multiple arguments are aggregated like Promise.all array elements
+ while ( i-- ) {
+ adoptValue( resolveValues[ i ], updateFunc( i ), master.reject );
+ }
+
+ return master.promise();
+ }
+} );
+
+
+// These usually indicate a programmer mistake during development,
+// warn about them ASAP rather than swallowing them by default.
+var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
+
+jQuery.Deferred.exceptionHook = function( error, stack ) {
+
+ // Support: IE 8 - 9 only
+ // Console exists when dev tools are open, which can happen at any time
+ if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
+ window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
+ }
+};
+
+
+
+
+jQuery.readyException = function( error ) {
+ window.setTimeout( function() {
+ throw error;
+ } );
+};
+
+
+
+
+// The deferred used on DOM ready
+var readyList = jQuery.Deferred();
+
+jQuery.fn.ready = function( fn ) {
+
+ readyList
+ .then( fn )
+
+ // Wrap jQuery.readyException in a function so that the lookup
+ // happens at the time of error handling instead of callback
+ // registration.
+ .catch( function( error ) {
+ jQuery.readyException( error );
+ } );
+
+ return this;
+};
+
+jQuery.extend( {
+
+ // Is the DOM ready to be used? Set to true once it occurs.
+ isReady: false,
+
+ // A counter to track how many items to wait for before
+ // the ready event fires. See #6781
+ readyWait: 1,
+
+ // Handle when the DOM is ready
+ ready: function( wait ) {
+
+ // Abort if there are pending holds or we're already ready
+ if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
+ return;
+ }
+
+ // Remember that the DOM is ready
+ jQuery.isReady = true;
+
+ // If a normal DOM Ready event fired, decrement, and wait if need be
+ if ( wait !== true && --jQuery.readyWait > 0 ) {
+ return;
+ }
+
+ // If there are functions bound, to execute
+ readyList.resolveWith( document, [ jQuery ] );
+ }
+} );
+
+jQuery.ready.then = readyList.then;
+
+// The ready event handler and self cleanup method
+function completed() {
+ document.removeEventListener( "DOMContentLoaded", completed );
+ window.removeEventListener( "load", completed );
+ jQuery.ready();
+}
+
+// Catch cases where $(document).ready() is called
+// after the browser event has already occurred.
+// Support: IE <=9 - 10 only
+// Older IE sometimes signals "interactive" too soon
+if ( document.readyState === "complete" ||
+ ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
+
+ // Handle it asynchronously to allow scripts the opportunity to delay ready
+ window.setTimeout( jQuery.ready );
+
+} else {
+
+ // Use the handy event callback
+ document.addEventListener( "DOMContentLoaded", completed );
+
+ // A fallback to window.onload, that will always work
+ window.addEventListener( "load", completed );
+}
+
+
+
+
+// Multifunctional method to get and set values of a collection
+// The value/s can optionally be executed if it's a function
+var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
+ var i = 0,
+ len = elems.length,
+ bulk = key == null;
+
+ // Sets many values
+ if ( toType( key ) === "object" ) {
+ chainable = true;
+ for ( i in key ) {
+ access( elems, fn, i, key[ i ], true, emptyGet, raw );
+ }
+
+ // Sets one value
+ } else if ( value !== undefined ) {
+ chainable = true;
+
+ if ( !isFunction( value ) ) {
+ raw = true;
+ }
+
+ if ( bulk ) {
+
+ // Bulk operations run against the entire set
+ if ( raw ) {
+ fn.call( elems, value );
+ fn = null;
+
+ // ...except when executing function values
+ } else {
+ bulk = fn;
+ fn = function( elem, _key, value ) {
+ return bulk.call( jQuery( elem ), value );
+ };
+ }
+ }
+
+ if ( fn ) {
+ for ( ; i < len; i++ ) {
+ fn(
+ elems[ i ], key, raw ?
+ value :
+ value.call( elems[ i ], i, fn( elems[ i ], key ) )
+ );
+ }
+ }
+ }
+
+ if ( chainable ) {
+ return elems;
+ }
+
+ // Gets
+ if ( bulk ) {
+ return fn.call( elems );
+ }
+
+ return len ? fn( elems[ 0 ], key ) : emptyGet;
+};
+
+
+// Matches dashed string for camelizing
+var rmsPrefix = /^-ms-/,
+ rdashAlpha = /-([a-z])/g;
+
+// Used by camelCase as callback to replace()
+function fcamelCase( _all, letter ) {
+ return letter.toUpperCase();
+}
+
+// Convert dashed to camelCase; used by the css and data modules
+// Support: IE <=9 - 11, Edge 12 - 15
+// Microsoft forgot to hump their vendor prefix (#9572)
+function camelCase( string ) {
+ return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
+}
+var acceptData = function( owner ) {
+
+ // Accepts only:
+ // - Node
+ // - Node.ELEMENT_NODE
+ // - Node.DOCUMENT_NODE
+ // - Object
+ // - Any
+ return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
+};
+
+
+
+
+function Data() {
+ this.expando = jQuery.expando + Data.uid++;
+}
+
+Data.uid = 1;
+
+Data.prototype = {
+
+ cache: function( owner ) {
+
+ // Check if the owner object already has a cache
+ var value = owner[ this.expando ];
+
+ // If not, create one
+ if ( !value ) {
+ value = {};
+
+ // We can accept data for non-element nodes in modern browsers,
+ // but we should not, see #8335.
+ // Always return an empty object.
+ if ( acceptData( owner ) ) {
+
+ // If it is a node unlikely to be stringify-ed or looped over
+ // use plain assignment
+ if ( owner.nodeType ) {
+ owner[ this.expando ] = value;
+
+ // Otherwise secure it in a non-enumerable property
+ // configurable must be true to allow the property to be
+ // deleted when data is removed
+ } else {
+ Object.defineProperty( owner, this.expando, {
+ value: value,
+ configurable: true
+ } );
+ }
+ }
+ }
+
+ return value;
+ },
+ set: function( owner, data, value ) {
+ var prop,
+ cache = this.cache( owner );
+
+ // Handle: [ owner, key, value ] args
+ // Always use camelCase key (gh-2257)
+ if ( typeof data === "string" ) {
+ cache[ camelCase( data ) ] = value;
+
+ // Handle: [ owner, { properties } ] args
+ } else {
+
+ // Copy the properties one-by-one to the cache object
+ for ( prop in data ) {
+ cache[ camelCase( prop ) ] = data[ prop ];
+ }
+ }
+ return cache;
+ },
+ get: function( owner, key ) {
+ return key === undefined ?
+ this.cache( owner ) :
+
+ // Always use camelCase key (gh-2257)
+ owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
+ },
+ access: function( owner, key, value ) {
+
+ // In cases where either:
+ //
+ // 1. No key was specified
+ // 2. A string key was specified, but no value provided
+ //
+ // Take the "read" path and allow the get method to determine
+ // which value to return, respectively either:
+ //
+ // 1. The entire cache object
+ // 2. The data stored at the key
+ //
+ if ( key === undefined ||
+ ( ( key && typeof key === "string" ) && value === undefined ) ) {
+
+ return this.get( owner, key );
+ }
+
+ // When the key is not a string, or both a key and value
+ // are specified, set or extend (existing objects) with either:
+ //
+ // 1. An object of properties
+ // 2. A key and value
+ //
+ this.set( owner, key, value );
+
+ // Since the "set" path can have two possible entry points
+ // return the expected data based on which path was taken[*]
+ return value !== undefined ? value : key;
+ },
+ remove: function( owner, key ) {
+ var i,
+ cache = owner[ this.expando ];
+
+ if ( cache === undefined ) {
+ return;
+ }
+
+ if ( key !== undefined ) {
+
+ // Support array or space separated string of keys
+ if ( Array.isArray( key ) ) {
+
+ // If key is an array of keys...
+ // We always set camelCase keys, so remove that.
+ key = key.map( camelCase );
+ } else {
+ key = camelCase( key );
+
+ // If a key with the spaces exists, use it.
+ // Otherwise, create an array by matching non-whitespace
+ key = key in cache ?
+ [ key ] :
+ ( key.match( rnothtmlwhite ) || [] );
+ }
+
+ i = key.length;
+
+ while ( i-- ) {
+ delete cache[ key[ i ] ];
+ }
+ }
+
+ // Remove the expando if there's no more data
+ if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
+
+ // Support: Chrome <=35 - 45
+ // Webkit & Blink performance suffers when deleting properties
+ // from DOM nodes, so set to undefined instead
+ // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
+ if ( owner.nodeType ) {
+ owner[ this.expando ] = undefined;
+ } else {
+ delete owner[ this.expando ];
+ }
+ }
+ },
+ hasData: function( owner ) {
+ var cache = owner[ this.expando ];
+ return cache !== undefined && !jQuery.isEmptyObject( cache );
+ }
+};
+var dataPriv = new Data();
+
+var dataUser = new Data();
+
+
+
+// Implementation Summary
+//
+// 1. Enforce API surface and semantic compatibility with 1.9.x branch
+// 2. Improve the module's maintainability by reducing the storage
+// paths to a single mechanism.
+// 3. Use the same single mechanism to support "private" and "user" data.
+// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
+// 5. Avoid exposing implementation details on user objects (eg. expando properties)
+// 6. Provide a clear path for implementation upgrade to WeakMap in 2014
+
+var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
+ rmultiDash = /[A-Z]/g;
+
+function getData( data ) {
+ if ( data === "true" ) {
+ return true;
+ }
+
+ if ( data === "false" ) {
+ return false;
+ }
+
+ if ( data === "null" ) {
+ return null;
+ }
+
+ // Only convert to a number if it doesn't change the string
+ if ( data === +data + "" ) {
+ return +data;
+ }
+
+ if ( rbrace.test( data ) ) {
+ return JSON.parse( data );
+ }
+
+ return data;
+}
+
+function dataAttr( elem, key, data ) {
+ var name;
+
+ // If nothing was found internally, try to fetch any
+ // data from the HTML5 data-* attribute
+ if ( data === undefined && elem.nodeType === 1 ) {
+ name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
+ data = elem.getAttribute( name );
+
+ if ( typeof data === "string" ) {
+ try {
+ data = getData( data );
+ } catch ( e ) {}
+
+ // Make sure we set the data so it isn't changed later
+ dataUser.set( elem, key, data );
+ } else {
+ data = undefined;
+ }
+ }
+ return data;
+}
+
+jQuery.extend( {
+ hasData: function( elem ) {
+ return dataUser.hasData( elem ) || dataPriv.hasData( elem );
+ },
+
+ data: function( elem, name, data ) {
+ return dataUser.access( elem, name, data );
+ },
+
+ removeData: function( elem, name ) {
+ dataUser.remove( elem, name );
+ },
+
+ // TODO: Now that all calls to _data and _removeData have been replaced
+ // with direct calls to dataPriv methods, these can be deprecated.
+ _data: function( elem, name, data ) {
+ return dataPriv.access( elem, name, data );
+ },
+
+ _removeData: function( elem, name ) {
+ dataPriv.remove( elem, name );
+ }
+} );
+
+jQuery.fn.extend( {
+ data: function( key, value ) {
+ var i, name, data,
+ elem = this[ 0 ],
+ attrs = elem && elem.attributes;
+
+ // Gets all values
+ if ( key === undefined ) {
+ if ( this.length ) {
+ data = dataUser.get( elem );
+
+ if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
+ i = attrs.length;
+ while ( i-- ) {
+
+ // Support: IE 11 only
+ // The attrs elements can be null (#14894)
+ if ( attrs[ i ] ) {
+ name = attrs[ i ].name;
+ if ( name.indexOf( "data-" ) === 0 ) {
+ name = camelCase( name.slice( 5 ) );
+ dataAttr( elem, name, data[ name ] );
+ }
+ }
+ }
+ dataPriv.set( elem, "hasDataAttrs", true );
+ }
+ }
+
+ return data;
+ }
+
+ // Sets multiple values
+ if ( typeof key === "object" ) {
+ return this.each( function() {
+ dataUser.set( this, key );
+ } );
+ }
+
+ return access( this, function( value ) {
+ var data;
+
+ // The calling jQuery object (element matches) is not empty
+ // (and therefore has an element appears at this[ 0 ]) and the
+ // `value` parameter was not undefined. An empty jQuery object
+ // will result in `undefined` for elem = this[ 0 ] which will
+ // throw an exception if an attempt to read a data cache is made.
+ if ( elem && value === undefined ) {
+
+ // Attempt to get data from the cache
+ // The key will always be camelCased in Data
+ data = dataUser.get( elem, key );
+ if ( data !== undefined ) {
+ return data;
+ }
+
+ // Attempt to "discover" the data in
+ // HTML5 custom data-* attrs
+ data = dataAttr( elem, key );
+ if ( data !== undefined ) {
+ return data;
+ }
+
+ // We tried really hard, but the data doesn't exist.
+ return;
+ }
+
+ // Set the data...
+ this.each( function() {
+
+ // We always store the camelCased key
+ dataUser.set( this, key, value );
+ } );
+ }, null, value, arguments.length > 1, null, true );
+ },
+
+ removeData: function( key ) {
+ return this.each( function() {
+ dataUser.remove( this, key );
+ } );
+ }
+} );
+
+
+jQuery.extend( {
+ queue: function( elem, type, data ) {
+ var queue;
+
+ if ( elem ) {
+ type = ( type || "fx" ) + "queue";
+ queue = dataPriv.get( elem, type );
+
+ // Speed up dequeue by getting out quickly if this is just a lookup
+ if ( data ) {
+ if ( !queue || Array.isArray( data ) ) {
+ queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
+ } else {
+ queue.push( data );
+ }
+ }
+ return queue || [];
+ }
+ },
+
+ dequeue: function( elem, type ) {
+ type = type || "fx";
+
+ var queue = jQuery.queue( elem, type ),
+ startLength = queue.length,
+ fn = queue.shift(),
+ hooks = jQuery._queueHooks( elem, type ),
+ next = function() {
+ jQuery.dequeue( elem, type );
+ };
+
+ // If the fx queue is dequeued, always remove the progress sentinel
+ if ( fn === "inprogress" ) {
+ fn = queue.shift();
+ startLength--;
+ }
+
+ if ( fn ) {
+
+ // Add a progress sentinel to prevent the fx queue from being
+ // automatically dequeued
+ if ( type === "fx" ) {
+ queue.unshift( "inprogress" );
+ }
+
+ // Clear up the last queue stop function
+ delete hooks.stop;
+ fn.call( elem, next, hooks );
+ }
+
+ if ( !startLength && hooks ) {
+ hooks.empty.fire();
+ }
+ },
+
+ // Not public - generate a queueHooks object, or return the current one
+ _queueHooks: function( elem, type ) {
+ var key = type + "queueHooks";
+ return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
+ empty: jQuery.Callbacks( "once memory" ).add( function() {
+ dataPriv.remove( elem, [ type + "queue", key ] );
+ } )
+ } );
+ }
+} );
+
+jQuery.fn.extend( {
+ queue: function( type, data ) {
+ var setter = 2;
+
+ if ( typeof type !== "string" ) {
+ data = type;
+ type = "fx";
+ setter--;
+ }
+
+ if ( arguments.length < setter ) {
+ return jQuery.queue( this[ 0 ], type );
+ }
+
+ return data === undefined ?
+ this :
+ this.each( function() {
+ var queue = jQuery.queue( this, type, data );
+
+ // Ensure a hooks for this queue
+ jQuery._queueHooks( this, type );
+
+ if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
+ jQuery.dequeue( this, type );
+ }
+ } );
+ },
+ dequeue: function( type ) {
+ return this.each( function() {
+ jQuery.dequeue( this, type );
+ } );
+ },
+ clearQueue: function( type ) {
+ return this.queue( type || "fx", [] );
+ },
+
+ // Get a promise resolved when queues of a certain type
+ // are emptied (fx is the type by default)
+ promise: function( type, obj ) {
+ var tmp,
+ count = 1,
+ defer = jQuery.Deferred(),
+ elements = this,
+ i = this.length,
+ resolve = function() {
+ if ( !( --count ) ) {
+ defer.resolveWith( elements, [ elements ] );
+ }
+ };
+
+ if ( typeof type !== "string" ) {
+ obj = type;
+ type = undefined;
+ }
+ type = type || "fx";
+
+ while ( i-- ) {
+ tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
+ if ( tmp && tmp.empty ) {
+ count++;
+ tmp.empty.add( resolve );
+ }
+ }
+ resolve();
+ return defer.promise( obj );
+ }
+} );
+var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
+
+var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
+
+
+var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
+
+var documentElement = document.documentElement;
+
+
+
+ var isAttached = function( elem ) {
+ return jQuery.contains( elem.ownerDocument, elem );
+ },
+ composed = { composed: true };
+
+ // Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
+ // Check attachment across shadow DOM boundaries when possible (gh-3504)
+ // Support: iOS 10.0-10.2 only
+ // Early iOS 10 versions support `attachShadow` but not `getRootNode`,
+ // leading to errors. We need to check for `getRootNode`.
+ if ( documentElement.getRootNode ) {
+ isAttached = function( elem ) {
+ return jQuery.contains( elem.ownerDocument, elem ) ||
+ elem.getRootNode( composed ) === elem.ownerDocument;
+ };
+ }
+var isHiddenWithinTree = function( elem, el ) {
+
+ // isHiddenWithinTree might be called from jQuery#filter function;
+ // in that case, element will be second argument
+ elem = el || elem;
+
+ // Inline style trumps all
+ return elem.style.display === "none" ||
+ elem.style.display === "" &&
+
+ // Otherwise, check computed style
+ // Support: Firefox <=43 - 45
+ // Disconnected elements can have computed display: none, so first confirm that elem is
+ // in the document.
+ isAttached( elem ) &&
+
+ jQuery.css( elem, "display" ) === "none";
+ };
+
+
+
+function adjustCSS( elem, prop, valueParts, tween ) {
+ var adjusted, scale,
+ maxIterations = 20,
+ currentValue = tween ?
+ function() {
+ return tween.cur();
+ } :
+ function() {
+ return jQuery.css( elem, prop, "" );
+ },
+ initial = currentValue(),
+ unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
+
+ // Starting value computation is required for potential unit mismatches
+ initialInUnit = elem.nodeType &&
+ ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
+ rcssNum.exec( jQuery.css( elem, prop ) );
+
+ if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
+
+ // Support: Firefox <=54
+ // Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
+ initial = initial / 2;
+
+ // Trust units reported by jQuery.css
+ unit = unit || initialInUnit[ 3 ];
+
+ // Iteratively approximate from a nonzero starting point
+ initialInUnit = +initial || 1;
+
+ while ( maxIterations-- ) {
+
+ // Evaluate and update our best guess (doubling guesses that zero out).
+ // Finish if the scale equals or crosses 1 (making the old*new product non-positive).
+ jQuery.style( elem, prop, initialInUnit + unit );
+ if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
+ maxIterations = 0;
+ }
+ initialInUnit = initialInUnit / scale;
+
+ }
+
+ initialInUnit = initialInUnit * 2;
+ jQuery.style( elem, prop, initialInUnit + unit );
+
+ // Make sure we update the tween properties later on
+ valueParts = valueParts || [];
+ }
+
+ if ( valueParts ) {
+ initialInUnit = +initialInUnit || +initial || 0;
+
+ // Apply relative offset (+=/-=) if specified
+ adjusted = valueParts[ 1 ] ?
+ initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
+ +valueParts[ 2 ];
+ if ( tween ) {
+ tween.unit = unit;
+ tween.start = initialInUnit;
+ tween.end = adjusted;
+ }
+ }
+ return adjusted;
+}
+
+
+var defaultDisplayMap = {};
+
+function getDefaultDisplay( elem ) {
+ var temp,
+ doc = elem.ownerDocument,
+ nodeName = elem.nodeName,
+ display = defaultDisplayMap[ nodeName ];
+
+ if ( display ) {
+ return display;
+ }
+
+ temp = doc.body.appendChild( doc.createElement( nodeName ) );
+ display = jQuery.css( temp, "display" );
+
+ temp.parentNode.removeChild( temp );
+
+ if ( display === "none" ) {
+ display = "block";
+ }
+ defaultDisplayMap[ nodeName ] = display;
+
+ return display;
+}
+
+function showHide( elements, show ) {
+ var display, elem,
+ values = [],
+ index = 0,
+ length = elements.length;
+
+ // Determine new display value for elements that need to change
+ for ( ; index < length; index++ ) {
+ elem = elements[ index ];
+ if ( !elem.style ) {
+ continue;
+ }
+
+ display = elem.style.display;
+ if ( show ) {
+
+ // Since we force visibility upon cascade-hidden elements, an immediate (and slow)
+ // check is required in this first loop unless we have a nonempty display value (either
+ // inline or about-to-be-restored)
+ if ( display === "none" ) {
+ values[ index ] = dataPriv.get( elem, "display" ) || null;
+ if ( !values[ index ] ) {
+ elem.style.display = "";
+ }
+ }
+ if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
+ values[ index ] = getDefaultDisplay( elem );
+ }
+ } else {
+ if ( display !== "none" ) {
+ values[ index ] = "none";
+
+ // Remember what we're overwriting
+ dataPriv.set( elem, "display", display );
+ }
+ }
+ }
+
+ // Set the display of the elements in a second loop to avoid constant reflow
+ for ( index = 0; index < length; index++ ) {
+ if ( values[ index ] != null ) {
+ elements[ index ].style.display = values[ index ];
+ }
+ }
+
+ return elements;
+}
+
+jQuery.fn.extend( {
+ show: function() {
+ return showHide( this, true );
+ },
+ hide: function() {
+ return showHide( this );
+ },
+ toggle: function( state ) {
+ if ( typeof state === "boolean" ) {
+ return state ? this.show() : this.hide();
+ }
+
+ return this.each( function() {
+ if ( isHiddenWithinTree( this ) ) {
+ jQuery( this ).show();
+ } else {
+ jQuery( this ).hide();
+ }
+ } );
+ }
+} );
+var rcheckableType = ( /^(?:checkbox|radio)$/i );
+
+var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
+
+var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
+
+
+
+( function() {
+ var fragment = document.createDocumentFragment(),
+ div = fragment.appendChild( document.createElement( "div" ) ),
+ input = document.createElement( "input" );
+
+ // Support: Android 4.0 - 4.3 only
+ // Check state lost if the name is set (#11217)
+ // Support: Windows Web Apps (WWA)
+ // `name` and `type` must use .setAttribute for WWA (#14901)
+ input.setAttribute( "type", "radio" );
+ input.setAttribute( "checked", "checked" );
+ input.setAttribute( "name", "t" );
+
+ div.appendChild( input );
+
+ // Support: Android <=4.1 only
+ // Older WebKit doesn't clone checked state correctly in fragments
+ support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
+
+ // Support: IE <=11 only
+ // Make sure textarea (and checkbox) defaultValue is properly cloned
+ div.innerHTML = "<textarea>x</textarea>";
+ support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
+
+ // Support: IE <=9 only
+ // IE <=9 replaces <option> tags with their contents when inserted outside of
+ // the select element.
+ div.innerHTML = "<option></option>";
+ support.option = !!div.lastChild;
+} )();
+
+
+// We have to close these tags to support XHTML (#13200)
+var wrapMap = {
+
+ // XHTML parsers do not magically insert elements in the
+ // same way that tag soup parsers do. So we cannot shorten
+ // this by omitting <tbody> or other required elements.
+ thead: [ 1, "<table>", "</table>" ],
+ col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
+ tr: [ 2, "<table><tbody>", "</tbody></table>" ],
+ td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
+
+ _default: [ 0, "", "" ]
+};
+
+wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
+wrapMap.th = wrapMap.td;
+
+// Support: IE <=9 only
+if ( !support.option ) {
+ wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
+}
+
+
+function getAll( context, tag ) {
+
+ // Support: IE <=9 - 11 only
+ // Use typeof to avoid zero-argument method invocation on host objects (#15151)
+ var ret;
+
+ if ( typeof context.getElementsByTagName !== "undefined" ) {
+ ret = context.getElementsByTagName( tag || "*" );
+
+ } else if ( typeof context.querySelectorAll !== "undefined" ) {
+ ret = context.querySelectorAll( tag || "*" );
+
+ } else {
+ ret = [];
+ }
+
+ if ( tag === undefined || tag && nodeName( context, tag ) ) {
+ return jQuery.merge( [ context ], ret );
+ }
+
+ return ret;
+}
+
+
+// Mark scripts as having already been evaluated
+function setGlobalEval( elems, refElements ) {
+ var i = 0,
+ l = elems.length;
+
+ for ( ; i < l; i++ ) {
+ dataPriv.set(
+ elems[ i ],
+ "globalEval",
+ !refElements || dataPriv.get( refElements[ i ], "globalEval" )
+ );
+ }
+}
+
+
+var rhtml = /<|&#?\w+;/;
+
+function buildFragment( elems, context, scripts, selection, ignored ) {
+ var elem, tmp, tag, wrap, attached, j,
+ fragment = context.createDocumentFragment(),
+ nodes = [],
+ i = 0,
+ l = elems.length;
+
+ for ( ; i < l; i++ ) {
+ elem = elems[ i ];
+
+ if ( elem || elem === 0 ) {
+
+ // Add nodes directly
+ if ( toType( elem ) === "object" ) {
+
+ // Support: Android <=4.0 only, PhantomJS 1 only
+ // push.apply(_, arraylike) throws on ancient WebKit
+ jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
+
+ // Convert non-html into a text node
+ } else if ( !rhtml.test( elem ) ) {
+ nodes.push( context.createTextNode( elem ) );
+
+ // Convert html into DOM nodes
+ } else {
+ tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
+
+ // Deserialize a standard representation
+ tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
+ wrap = wrapMap[ tag ] || wrapMap._default;
+ tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
+
+ // Descend through wrappers to the right content
+ j = wrap[ 0 ];
+ while ( j-- ) {
+ tmp = tmp.lastChild;
+ }
+
+ // Support: Android <=4.0 only, PhantomJS 1 only
+ // push.apply(_, arraylike) throws on ancient WebKit
+ jQuery.merge( nodes, tmp.childNodes );
+
+ // Remember the top-level container
+ tmp = fragment.firstChild;
+
+ // Ensure the created nodes are orphaned (#12392)
+ tmp.textContent = "";
+ }
+ }
+ }
+
+ // Remove wrapper from fragment
+ fragment.textContent = "";
+
+ i = 0;
+ while ( ( elem = nodes[ i++ ] ) ) {
+
+ // Skip elements already in the context collection (trac-4087)
+ if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
+ if ( ignored ) {
+ ignored.push( elem );
+ }
+ continue;
+ }
+
+ attached = isAttached( elem );
+
+ // Append to fragment
+ tmp = getAll( fragment.appendChild( elem ), "script" );
+
+ // Preserve script evaluation history
+ if ( attached ) {
+ setGlobalEval( tmp );
+ }
+
+ // Capture executables
+ if ( scripts ) {
+ j = 0;
+ while ( ( elem = tmp[ j++ ] ) ) {
+ if ( rscriptType.test( elem.type || "" ) ) {
+ scripts.push( elem );
+ }
+ }
+ }
+ }
+
+ return fragment;
+}
+
+
+var
+ rkeyEvent = /^key/,
+ rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/,
+ rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
+
+function returnTrue() {
+ return true;
+}
+
+function returnFalse() {
+ return false;
+}
+
+// Support: IE <=9 - 11+
+// focus() and blur() are asynchronous, except when they are no-op.
+// So expect focus to be synchronous when the element is already active,
+// and blur to be synchronous when the element is not already active.
+// (focus and blur are always synchronous in other supported browsers,
+// this just defines when we can count on it).
+function expectSync( elem, type ) {
+ return ( elem === safeActiveElement() ) === ( type === "focus" );
+}
+
+// Support: IE <=9 only
+// Accessing document.activeElement can throw unexpectedly
+// https://bugs.jquery.com/ticket/13393
+function safeActiveElement() {
+ try {
+ return document.activeElement;
+ } catch ( err ) { }
+}
+
+function on( elem, types, selector, data, fn, one ) {
+ var origFn, type;
+
+ // Types can be a map of types/handlers
+ if ( typeof types === "object" ) {
+
+ // ( types-Object, selector, data )
+ if ( typeof selector !== "string" ) {
+
+ // ( types-Object, data )
+ data = data || selector;
+ selector = undefined;
+ }
+ for ( type in types ) {
+ on( elem, type, selector, data, types[ type ], one );
+ }
+ return elem;
+ }
+
+ if ( data == null && fn == null ) {
+
+ // ( types, fn )
+ fn = selector;
+ data = selector = undefined;
+ } else if ( fn == null ) {
+ if ( typeof selector === "string" ) {
+
+ // ( types, selector, fn )
+ fn = data;
+ data = undefined;
+ } else {
+
+ // ( types, data, fn )
+ fn = data;
+ data = selector;
+ selector = undefined;
+ }
+ }
+ if ( fn === false ) {
+ fn = returnFalse;
+ } else if ( !fn ) {
+ return elem;
+ }
+
+ if ( one === 1 ) {
+ origFn = fn;
+ fn = function( event ) {
+
+ // Can use an empty set, since event contains the info
+ jQuery().off( event );
+ return origFn.apply( this, arguments );
+ };
+
+ // Use same guid so caller can remove using origFn
+ fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
+ }
+ return elem.each( function() {
+ jQuery.event.add( this, types, fn, data, selector );
+ } );
+}
+
+/*
+ * Helper functions for managing events -- not part of the public interface.
+ * Props to Dean Edwards' addEvent library for many of the ideas.
+ */
+jQuery.event = {
+
+ global: {},
+
+ add: function( elem, types, handler, data, selector ) {
+
+ var handleObjIn, eventHandle, tmp,
+ events, t, handleObj,
+ special, handlers, type, namespaces, origType,
+ elemData = dataPriv.get( elem );
+
+ // Only attach events to objects that accept data
+ if ( !acceptData( elem ) ) {
+ return;
+ }
+
+ // Caller can pass in an object of custom data in lieu of the handler
+ if ( handler.handler ) {
+ handleObjIn = handler;
+ handler = handleObjIn.handler;
+ selector = handleObjIn.selector;
+ }
+
+ // Ensure that invalid selectors throw exceptions at attach time
+ // Evaluate against documentElement in case elem is a non-element node (e.g., document)
+ if ( selector ) {
+ jQuery.find.matchesSelector( documentElement, selector );
+ }
+
+ // Make sure that the handler has a unique ID, used to find/remove it later
+ if ( !handler.guid ) {
+ handler.guid = jQuery.guid++;
+ }
+
+ // Init the element's event structure and main handler, if this is the first
+ if ( !( events = elemData.events ) ) {
+ events = elemData.events = Object.create( null );
+ }
+ if ( !( eventHandle = elemData.handle ) ) {
+ eventHandle = elemData.handle = function( e ) {
+
+ // Discard the second event of a jQuery.event.trigger() and
+ // when an event is called after a page has unloaded
+ return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
+ jQuery.event.dispatch.apply( elem, arguments ) : undefined;
+ };
+ }
+
+ // Handle multiple events separated by a space
+ types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+ t = types.length;
+ while ( t-- ) {
+ tmp = rtypenamespace.exec( types[ t ] ) || [];
+ type = origType = tmp[ 1 ];
+ namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+ // There *must* be a type, no attaching namespace-only handlers
+ if ( !type ) {
+ continue;
+ }
+
+ // If event changes its type, use the special event handlers for the changed type
+ special = jQuery.event.special[ type ] || {};
+
+ // If selector defined, determine special event api type, otherwise given type
+ type = ( selector ? special.delegateType : special.bindType ) || type;
+
+ // Update special based on newly reset type
+ special = jQuery.event.special[ type ] || {};
+
+ // handleObj is passed to all event handlers
+ handleObj = jQuery.extend( {
+ type: type,
+ origType: origType,
+ data: data,
+ handler: handler,
+ guid: handler.guid,
+ selector: selector,
+ needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
+ namespace: namespaces.join( "." )
+ }, handleObjIn );
+
+ // Init the event handler queue if we're the first
+ if ( !( handlers = events[ type ] ) ) {
+ handlers = events[ type ] = [];
+ handlers.delegateCount = 0;
+
+ // Only use addEventListener if the special events handler returns false
+ if ( !special.setup ||
+ special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
+
+ if ( elem.addEventListener ) {
+ elem.addEventListener( type, eventHandle );
+ }
+ }
+ }
+
+ if ( special.add ) {
+ special.add.call( elem, handleObj );
+
+ if ( !handleObj.handler.guid ) {
+ handleObj.handler.guid = handler.guid;
+ }
+ }
+
+ // Add to the element's handler list, delegates in front
+ if ( selector ) {
+ handlers.splice( handlers.delegateCount++, 0, handleObj );
+ } else {
+ handlers.push( handleObj );
+ }
+
+ // Keep track of which events have ever been used, for event optimization
+ jQuery.event.global[ type ] = true;
+ }
+
+ },
+
+ // Detach an event or set of events from an element
+ remove: function( elem, types, handler, selector, mappedTypes ) {
+
+ var j, origCount, tmp,
+ events, t, handleObj,
+ special, handlers, type, namespaces, origType,
+ elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
+
+ if ( !elemData || !( events = elemData.events ) ) {
+ return;
+ }
+
+ // Once for each type.namespace in types; type may be omitted
+ types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+ t = types.length;
+ while ( t-- ) {
+ tmp = rtypenamespace.exec( types[ t ] ) || [];
+ type = origType = tmp[ 1 ];
+ namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+ // Unbind all events (on this namespace, if provided) for the element
+ if ( !type ) {
+ for ( type in events ) {
+ jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
+ }
+ continue;
+ }
+
+ special = jQuery.event.special[ type ] || {};
+ type = ( selector ? special.delegateType : special.bindType ) || type;
+ handlers = events[ type ] || [];
+ tmp = tmp[ 2 ] &&
+ new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
+
+ // Remove matching events
+ origCount = j = handlers.length;
+ while ( j-- ) {
+ handleObj = handlers[ j ];
+
+ if ( ( mappedTypes || origType === handleObj.origType ) &&
+ ( !handler || handler.guid === handleObj.guid ) &&
+ ( !tmp || tmp.test( handleObj.namespace ) ) &&
+ ( !selector || selector === handleObj.selector ||
+ selector === "**" && handleObj.selector ) ) {
+ handlers.splice( j, 1 );
+
+ if ( handleObj.selector ) {
+ handlers.delegateCount--;
+ }
+ if ( special.remove ) {
+ special.remove.call( elem, handleObj );
+ }
+ }
+ }
+
+ // Remove generic event handler if we removed something and no more handlers exist
+ // (avoids potential for endless recursion during removal of special event handlers)
+ if ( origCount && !handlers.length ) {
+ if ( !special.teardown ||
+ special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
+
+ jQuery.removeEvent( elem, type, elemData.handle );
+ }
+
+ delete events[ type ];
+ }
+ }
+
+ // Remove data and the expando if it's no longer used
+ if ( jQuery.isEmptyObject( events ) ) {
+ dataPriv.remove( elem, "handle events" );
+ }
+ },
+
+ dispatch: function( nativeEvent ) {
+
+ var i, j, ret, matched, handleObj, handlerQueue,
+ args = new Array( arguments.length ),
+
+ // Make a writable jQuery.Event from the native event object
+ event = jQuery.event.fix( nativeEvent ),
+
+ handlers = (
+ dataPriv.get( this, "events" ) || Object.create( null )
+ )[ event.type ] || [],
+ special = jQuery.event.special[ event.type ] || {};
+
+ // Use the fix-ed jQuery.Event rather than the (read-only) native event
+ args[ 0 ] = event;
+
+ for ( i = 1; i < arguments.length; i++ ) {
+ args[ i ] = arguments[ i ];
+ }
+
+ event.delegateTarget = this;
+
+ // Call the preDispatch hook for the mapped type, and let it bail if desired
+ if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
+ return;
+ }
+
+ // Determine handlers
+ handlerQueue = jQuery.event.handlers.call( this, event, handlers );
+
+ // Run delegates first; they may want to stop propagation beneath us
+ i = 0;
+ while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
+ event.currentTarget = matched.elem;
+
+ j = 0;
+ while ( ( handleObj = matched.handlers[ j++ ] ) &&
+ !event.isImmediatePropagationStopped() ) {
+
+ // If the event is namespaced, then each handler is only invoked if it is
+ // specially universal or its namespaces are a superset of the event's.
+ if ( !event.rnamespace || handleObj.namespace === false ||
+ event.rnamespace.test( handleObj.namespace ) ) {
+
+ event.handleObj = handleObj;
+ event.data = handleObj.data;
+
+ ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
+ handleObj.handler ).apply( matched.elem, args );
+
+ if ( ret !== undefined ) {
+ if ( ( event.result = ret ) === false ) {
+ event.preventDefault();
+ event.stopPropagation();
+ }
+ }
+ }
+ }
+ }
+
+ // Call the postDispatch hook for the mapped type
+ if ( special.postDispatch ) {
+ special.postDispatch.call( this, event );
+ }
+
+ return event.result;
+ },
+
+ handlers: function( event, handlers ) {
+ var i, handleObj, sel, matchedHandlers, matchedSelectors,
+ handlerQueue = [],
+ delegateCount = handlers.delegateCount,
+ cur = event.target;
+
+ // Find delegate handlers
+ if ( delegateCount &&
+
+ // Support: IE <=9
+ // Black-hole SVG <use> instance trees (trac-13180)
+ cur.nodeType &&
+
+ // Support: Firefox <=42
+ // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
+ // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
+ // Support: IE 11 only
+ // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
+ !( event.type === "click" && event.button >= 1 ) ) {
+
+ for ( ; cur !== this; cur = cur.parentNode || this ) {
+
+ // Don't check non-elements (#13208)
+ // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
+ if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
+ matchedHandlers = [];
+ matchedSelectors = {};
+ for ( i = 0; i < delegateCount; i++ ) {
+ handleObj = handlers[ i ];
+
+ // Don't conflict with Object.prototype properties (#13203)
+ sel = handleObj.selector + " ";
+
+ if ( matchedSelectors[ sel ] === undefined ) {
+ matchedSelectors[ sel ] = handleObj.needsContext ?
+ jQuery( sel, this ).index( cur ) > -1 :
+ jQuery.find( sel, this, null, [ cur ] ).length;
+ }
+ if ( matchedSelectors[ sel ] ) {
+ matchedHandlers.push( handleObj );
+ }
+ }
+ if ( matchedHandlers.length ) {
+ handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
+ }
+ }
+ }
+ }
+
+ // Add the remaining (directly-bound) handlers
+ cur = this;
+ if ( delegateCount < handlers.length ) {
+ handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
+ }
+
+ return handlerQueue;
+ },
+
+ addProp: function( name, hook ) {
+ Object.defineProperty( jQuery.Event.prototype, name, {
+ enumerable: true,
+ configurable: true,
+
+ get: isFunction( hook ) ?
+ function() {
+ if ( this.originalEvent ) {
+ return hook( this.originalEvent );
+ }
+ } :
+ function() {
+ if ( this.originalEvent ) {
+ return this.originalEvent[ name ];
+ }
+ },
+
+ set: function( value ) {
+ Object.defineProperty( this, name, {
+ enumerable: true,
+ configurable: true,
+ writable: true,
+ value: value
+ } );
+ }
+ } );
+ },
+
+ fix: function( originalEvent ) {
+ return originalEvent[ jQuery.expando ] ?
+ originalEvent :
+ new jQuery.Event( originalEvent );
+ },
+
+ special: {
+ load: {
+
+ // Prevent triggered image.load events from bubbling to window.load
+ noBubble: true
+ },
+ click: {
+
+ // Utilize native event to ensure correct state for checkable inputs
+ setup: function( data ) {
+
+ // For mutual compressibility with _default, replace `this` access with a local var.
+ // `|| data` is dead code meant only to preserve the variable through minification.
+ var el = this || data;
+
+ // Claim the first handler
+ if ( rcheckableType.test( el.type ) &&
+ el.click && nodeName( el, "input" ) ) {
+
+ // dataPriv.set( el, "click", ... )
+ leverageNative( el, "click", returnTrue );
+ }
+
+ // Return false to allow normal processing in the caller
+ return false;
+ },
+ trigger: function( data ) {
+
+ // For mutual compressibility with _default, replace `this` access with a local var.
+ // `|| data` is dead code meant only to preserve the variable through minification.
+ var el = this || data;
+
+ // Force setup before triggering a click
+ if ( rcheckableType.test( el.type ) &&
+ el.click && nodeName( el, "input" ) ) {
+
+ leverageNative( el, "click" );
+ }
+
+ // Return non-false to allow normal event-path propagation
+ return true;
+ },
+
+ // For cross-browser consistency, suppress native .click() on links
+ // Also prevent it if we're currently inside a leveraged native-event stack
+ _default: function( event ) {
+ var target = event.target;
+ return rcheckableType.test( target.type ) &&
+ target.click && nodeName( target, "input" ) &&
+ dataPriv.get( target, "click" ) ||
+ nodeName( target, "a" );
+ }
+ },
+
+ beforeunload: {
+ postDispatch: function( event ) {
+
+ // Support: Firefox 20+
+ // Firefox doesn't alert if the returnValue field is not set.
+ if ( event.result !== undefined && event.originalEvent ) {
+ event.originalEvent.returnValue = event.result;
+ }
+ }
+ }
+ }
+};
+
+// Ensure the presence of an event listener that handles manually-triggered
+// synthetic events by interrupting progress until reinvoked in response to
+// *native* events that it fires directly, ensuring that state changes have
+// already occurred before other listeners are invoked.
+function leverageNative( el, type, expectSync ) {
+
+ // Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
+ if ( !expectSync ) {
+ if ( dataPriv.get( el, type ) === undefined ) {
+ jQuery.event.add( el, type, returnTrue );
+ }
+ return;
+ }
+
+ // Register the controller as a special universal handler for all event namespaces
+ dataPriv.set( el, type, false );
+ jQuery.event.add( el, type, {
+ namespace: false,
+ handler: function( event ) {
+ var notAsync, result,
+ saved = dataPriv.get( this, type );
+
+ if ( ( event.isTrigger & 1 ) && this[ type ] ) {
+
+ // Interrupt processing of the outer synthetic .trigger()ed event
+ // Saved data should be false in such cases, but might be a leftover capture object
+ // from an async native handler (gh-4350)
+ if ( !saved.length ) {
+
+ // Store arguments for use when handling the inner native event
+ // There will always be at least one argument (an event object), so this array
+ // will not be confused with a leftover capture object.
+ saved = slice.call( arguments );
+ dataPriv.set( this, type, saved );
+
+ // Trigger the native event and capture its result
+ // Support: IE <=9 - 11+
+ // focus() and blur() are asynchronous
+ notAsync = expectSync( this, type );
+ this[ type ]();
+ result = dataPriv.get( this, type );
+ if ( saved !== result || notAsync ) {
+ dataPriv.set( this, type, false );
+ } else {
+ result = {};
+ }
+ if ( saved !== result ) {
+
+ // Cancel the outer synthetic event
+ event.stopImmediatePropagation();
+ event.preventDefault();
+ return result.value;
+ }
+
+ // If this is an inner synthetic event for an event with a bubbling surrogate
+ // (focus or blur), assume that the surrogate already propagated from triggering the
+ // native event and prevent that from happening again here.
+ // This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
+ // bubbling surrogate propagates *after* the non-bubbling base), but that seems
+ // less bad than duplication.
+ } else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
+ event.stopPropagation();
+ }
+
+ // If this is a native event triggered above, everything is now in order
+ // Fire an inner synthetic event with the original arguments
+ } else if ( saved.length ) {
+
+ // ...and capture the result
+ dataPriv.set( this, type, {
+ value: jQuery.event.trigger(
+
+ // Support: IE <=9 - 11+
+ // Extend with the prototype to reset the above stopImmediatePropagation()
+ jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
+ saved.slice( 1 ),
+ this
+ )
+ } );
+
+ // Abort handling of the native event
+ event.stopImmediatePropagation();
+ }
+ }
+ } );
+}
+
+jQuery.removeEvent = function( elem, type, handle ) {
+
+ // This "if" is needed for plain objects
+ if ( elem.removeEventListener ) {
+ elem.removeEventListener( type, handle );
+ }
+};
+
+jQuery.Event = function( src, props ) {
+
+ // Allow instantiation without the 'new' keyword
+ if ( !( this instanceof jQuery.Event ) ) {
+ return new jQuery.Event( src, props );
+ }
+
+ // Event object
+ if ( src && src.type ) {
+ this.originalEvent = src;
+ this.type = src.type;
+
+ // Events bubbling up the document may have been marked as prevented
+ // by a handler lower down the tree; reflect the correct value.
+ this.isDefaultPrevented = src.defaultPrevented ||
+ src.defaultPrevented === undefined &&
+
+ // Support: Android <=2.3 only
+ src.returnValue === false ?
+ returnTrue :
+ returnFalse;
+
+ // Create target properties
+ // Support: Safari <=6 - 7 only
+ // Target should not be a text node (#504, #13143)
+ this.target = ( src.target && src.target.nodeType === 3 ) ?
+ src.target.parentNode :
+ src.target;
+
+ this.currentTarget = src.currentTarget;
+ this.relatedTarget = src.relatedTarget;
+
+ // Event type
+ } else {
+ this.type = src;
+ }
+
+ // Put explicitly provided properties onto the event object
+ if ( props ) {
+ jQuery.extend( this, props );
+ }
+
+ // Create a timestamp if incoming event doesn't have one
+ this.timeStamp = src && src.timeStamp || Date.now();
+
+ // Mark it as fixed
+ this[ jQuery.expando ] = true;
+};
+
+// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
+// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
+jQuery.Event.prototype = {
+ constructor: jQuery.Event,
+ isDefaultPrevented: returnFalse,
+ isPropagationStopped: returnFalse,
+ isImmediatePropagationStopped: returnFalse,
+ isSimulated: false,
+
+ preventDefault: function() {
+ var e = this.originalEvent;
+
+ this.isDefaultPrevented = returnTrue;
+
+ if ( e && !this.isSimulated ) {
+ e.preventDefault();
+ }
+ },
+ stopPropagation: function() {
+ var e = this.originalEvent;
+
+ this.isPropagationStopped = returnTrue;
+
+ if ( e && !this.isSimulated ) {
+ e.stopPropagation();
+ }
+ },
+ stopImmediatePropagation: function() {
+ var e = this.originalEvent;
+
+ this.isImmediatePropagationStopped = returnTrue;
+
+ if ( e && !this.isSimulated ) {
+ e.stopImmediatePropagation();
+ }
+
+ this.stopPropagation();
+ }
+};
+
+// Includes all common event props including KeyEvent and MouseEvent specific props
+jQuery.each( {
+ altKey: true,
+ bubbles: true,
+ cancelable: true,
+ changedTouches: true,
+ ctrlKey: true,
+ detail: true,
+ eventPhase: true,
+ metaKey: true,
+ pageX: true,
+ pageY: true,
+ shiftKey: true,
+ view: true,
+ "char": true,
+ code: true,
+ charCode: true,
+ key: true,
+ keyCode: true,
+ button: true,
+ buttons: true,
+ clientX: true,
+ clientY: true,
+ offsetX: true,
+ offsetY: true,
+ pointerId: true,
+ pointerType: true,
+ screenX: true,
+ screenY: true,
+ targetTouches: true,
+ toElement: true,
+ touches: true,
+
+ which: function( event ) {
+ var button = event.button;
+
+ // Add which for key events
+ if ( event.which == null && rkeyEvent.test( event.type ) ) {
+ return event.charCode != null ? event.charCode : event.keyCode;
+ }
+
+ // Add which for click: 1 === left; 2 === middle; 3 === right
+ if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) {
+ if ( button & 1 ) {
+ return 1;
+ }
+
+ if ( button & 2 ) {
+ return 3;
+ }
+
+ if ( button & 4 ) {
+ return 2;
+ }
+
+ return 0;
+ }
+
+ return event.which;
+ }
+}, jQuery.event.addProp );
+
+jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
+ jQuery.event.special[ type ] = {
+
+ // Utilize native event if possible so blur/focus sequence is correct
+ setup: function() {
+
+ // Claim the first handler
+ // dataPriv.set( this, "focus", ... )
+ // dataPriv.set( this, "blur", ... )
+ leverageNative( this, type, expectSync );
+
+ // Return false to allow normal processing in the caller
+ return false;
+ },
+ trigger: function() {
+
+ // Force setup before trigger
+ leverageNative( this, type );
+
+ // Return non-false to allow normal event-path propagation
+ return true;
+ },
+
+ delegateType: delegateType
+ };
+} );
+
+// Create mouseenter/leave events using mouseover/out and event-time checks
+// so that event delegation works in jQuery.
+// Do the same for pointerenter/pointerleave and pointerover/pointerout
+//
+// Support: Safari 7 only
+// Safari sends mouseenter too often; see:
+// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
+// for the description of the bug (it existed in older Chrome versions as well).
+jQuery.each( {
+ mouseenter: "mouseover",
+ mouseleave: "mouseout",
+ pointerenter: "pointerover",
+ pointerleave: "pointerout"
+}, function( orig, fix ) {
+ jQuery.event.special[ orig ] = {
+ delegateType: fix,
+ bindType: fix,
+
+ handle: function( event ) {
+ var ret,
+ target = this,
+ related = event.relatedTarget,
+ handleObj = event.handleObj;
+
+ // For mouseenter/leave call the handler if related is outside the target.
+ // NB: No relatedTarget if the mouse left/entered the browser window
+ if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
+ event.type = handleObj.origType;
+ ret = handleObj.handler.apply( this, arguments );
+ event.type = fix;
+ }
+ return ret;
+ }
+ };
+} );
+
+jQuery.fn.extend( {
+
+ on: function( types, selector, data, fn ) {
+ return on( this, types, selector, data, fn );
+ },
+ one: function( types, selector, data, fn ) {
+ return on( this, types, selector, data, fn, 1 );
+ },
+ off: function( types, selector, fn ) {
+ var handleObj, type;
+ if ( types && types.preventDefault && types.handleObj ) {
+
+ // ( event ) dispatched jQuery.Event
+ handleObj = types.handleObj;
+ jQuery( types.delegateTarget ).off(
+ handleObj.namespace ?
+ handleObj.origType + "." + handleObj.namespace :
+ handleObj.origType,
+ handleObj.selector,
+ handleObj.handler
+ );
+ return this;
+ }
+ if ( typeof types === "object" ) {
+
+ // ( types-object [, selector] )
+ for ( type in types ) {
+ this.off( type, selector, types[ type ] );
+ }
+ return this;
+ }
+ if ( selector === false || typeof selector === "function" ) {
+
+ // ( types [, fn] )
+ fn = selector;
+ selector = undefined;
+ }
+ if ( fn === false ) {
+ fn = returnFalse;
+ }
+ return this.each( function() {
+ jQuery.event.remove( this, types, fn, selector );
+ } );
+ }
+} );
+
+
+var
+
+ // Support: IE <=10 - 11, Edge 12 - 13 only
+ // In IE/Edge using regex groups here causes severe slowdowns.
+ // See https://connect.microsoft.com/IE/feedback/details/1736512/
+ rnoInnerhtml = /<script|<style|<link/i,
+
+ // checked="checked" or checked
+ rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
+ rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
+
+// Prefer a tbody over its parent table for containing new rows
+function manipulationTarget( elem, content ) {
+ if ( nodeName( elem, "table" ) &&
+ nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
+
+ return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
+ }
+
+ return elem;
+}
+
+// Replace/restore the type attribute of script elements for safe DOM manipulation
+function disableScript( elem ) {
+ elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
+ return elem;
+}
+function restoreScript( elem ) {
+ if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
+ elem.type = elem.type.slice( 5 );
+ } else {
+ elem.removeAttribute( "type" );
+ }
+
+ return elem;
+}
+
+function cloneCopyEvent( src, dest ) {
+ var i, l, type, pdataOld, udataOld, udataCur, events;
+
+ if ( dest.nodeType !== 1 ) {
+ return;
+ }
+
+ // 1. Copy private data: events, handlers, etc.
+ if ( dataPriv.hasData( src ) ) {
+ pdataOld = dataPriv.get( src );
+ events = pdataOld.events;
+
+ if ( events ) {
+ dataPriv.remove( dest, "handle events" );
+
+ for ( type in events ) {
+ for ( i = 0, l = events[ type ].length; i < l; i++ ) {
+ jQuery.event.add( dest, type, events[ type ][ i ] );
+ }
+ }
+ }
+ }
+
+ // 2. Copy user data
+ if ( dataUser.hasData( src ) ) {
+ udataOld = dataUser.access( src );
+ udataCur = jQuery.extend( {}, udataOld );
+
+ dataUser.set( dest, udataCur );
+ }
+}
+
+// Fix IE bugs, see support tests
+function fixInput( src, dest ) {
+ var nodeName = dest.nodeName.toLowerCase();
+
+ // Fails to persist the checked state of a cloned checkbox or radio button.
+ if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
+ dest.checked = src.checked;
+
+ // Fails to return the selected option to the default selected state when cloning options
+ } else if ( nodeName === "input" || nodeName === "textarea" ) {
+ dest.defaultValue = src.defaultValue;
+ }
+}
+
+function domManip( collection, args, callback, ignored ) {
+
+ // Flatten any nested arrays
+ args = flat( args );
+
+ var fragment, first, scripts, hasScripts, node, doc,
+ i = 0,
+ l = collection.length,
+ iNoClone = l - 1,
+ value = args[ 0 ],
+ valueIsFunction = isFunction( value );
+
+ // We can't cloneNode fragments that contain checked, in WebKit
+ if ( valueIsFunction ||
+ ( l > 1 && typeof value === "string" &&
+ !support.checkClone && rchecked.test( value ) ) ) {
+ return collection.each( function( index ) {
+ var self = collection.eq( index );
+ if ( valueIsFunction ) {
+ args[ 0 ] = value.call( this, index, self.html() );
+ }
+ domManip( self, args, callback, ignored );
+ } );
+ }
+
+ if ( l ) {
+ fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
+ first = fragment.firstChild;
+
+ if ( fragment.childNodes.length === 1 ) {
+ fragment = first;
+ }
+
+ // Require either new content or an interest in ignored elements to invoke the callback
+ if ( first || ignored ) {
+ scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
+ hasScripts = scripts.length;
+
+ // Use the original fragment for the last item
+ // instead of the first because it can end up
+ // being emptied incorrectly in certain situations (#8070).
+ for ( ; i < l; i++ ) {
+ node = fragment;
+
+ if ( i !== iNoClone ) {
+ node = jQuery.clone( node, true, true );
+
+ // Keep references to cloned scripts for later restoration
+ if ( hasScripts ) {
+
+ // Support: Android <=4.0 only, PhantomJS 1 only
+ // push.apply(_, arraylike) throws on ancient WebKit
+ jQuery.merge( scripts, getAll( node, "script" ) );
+ }
+ }
+
+ callback.call( collection[ i ], node, i );
+ }
+
+ if ( hasScripts ) {
+ doc = scripts[ scripts.length - 1 ].ownerDocument;
+
+ // Reenable scripts
+ jQuery.map( scripts, restoreScript );
+
+ // Evaluate executable scripts on first document insertion
+ for ( i = 0; i < hasScripts; i++ ) {
+ node = scripts[ i ];
+ if ( rscriptType.test( node.type || "" ) &&
+ !dataPriv.access( node, "globalEval" ) &&
+ jQuery.contains( doc, node ) ) {
+
+ if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) {
+
+ // Optional AJAX dependency, but won't run scripts if not present
+ if ( jQuery._evalUrl && !node.noModule ) {
+ jQuery._evalUrl( node.src, {
+ nonce: node.nonce || node.getAttribute( "nonce" )
+ }, doc );
+ }
+ } else {
+ DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
+ }
+ }
+ }
+ }
+ }
+ }
+
+ return collection;
+}
+
+function remove( elem, selector, keepData ) {
+ var node,
+ nodes = selector ? jQuery.filter( selector, elem ) : elem,
+ i = 0;
+
+ for ( ; ( node = nodes[ i ] ) != null; i++ ) {
+ if ( !keepData && node.nodeType === 1 ) {
+ jQuery.cleanData( getAll( node ) );
+ }
+
+ if ( node.parentNode ) {
+ if ( keepData && isAttached( node ) ) {
+ setGlobalEval( getAll( node, "script" ) );
+ }
+ node.parentNode.removeChild( node );
+ }
+ }
+
+ return elem;
+}
+
+jQuery.extend( {
+ htmlPrefilter: function( html ) {
+ return html;
+ },
+
+ clone: function( elem, dataAndEvents, deepDataAndEvents ) {
+ var i, l, srcElements, destElements,
+ clone = elem.cloneNode( true ),
+ inPage = isAttached( elem );
+
+ // Fix IE cloning issues
+ if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
+ !jQuery.isXMLDoc( elem ) ) {
+
+ // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
+ destElements = getAll( clone );
+ srcElements = getAll( elem );
+
+ for ( i = 0, l = srcElements.length; i < l; i++ ) {
+ fixInput( srcElements[ i ], destElements[ i ] );
+ }
+ }
+
+ // Copy the events from the original to the clone
+ if ( dataAndEvents ) {
+ if ( deepDataAndEvents ) {
+ srcElements = srcElements || getAll( elem );
+ destElements = destElements || getAll( clone );
+
+ for ( i = 0, l = srcElements.length; i < l; i++ ) {
+ cloneCopyEvent( srcElements[ i ], destElements[ i ] );
+ }
+ } else {
+ cloneCopyEvent( elem, clone );
+ }
+ }
+
+ // Preserve script evaluation history
+ destElements = getAll( clone, "script" );
+ if ( destElements.length > 0 ) {
+ setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
+ }
+
+ // Return the cloned set
+ return clone;
+ },
+
+ cleanData: function( elems ) {
+ var data, elem, type,
+ special = jQuery.event.special,
+ i = 0;
+
+ for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
+ if ( acceptData( elem ) ) {
+ if ( ( data = elem[ dataPriv.expando ] ) ) {
+ if ( data.events ) {
+ for ( type in data.events ) {
+ if ( special[ type ] ) {
+ jQuery.event.remove( elem, type );
+
+ // This is a shortcut to avoid jQuery.event.remove's overhead
+ } else {
+ jQuery.removeEvent( elem, type, data.handle );
+ }
+ }
+ }
+
+ // Support: Chrome <=35 - 45+
+ // Assign undefined instead of using delete, see Data#remove
+ elem[ dataPriv.expando ] = undefined;
+ }
+ if ( elem[ dataUser.expando ] ) {
+
+ // Support: Chrome <=35 - 45+
+ // Assign undefined instead of using delete, see Data#remove
+ elem[ dataUser.expando ] = undefined;
+ }
+ }
+ }
+ }
+} );
+
+jQuery.fn.extend( {
+ detach: function( selector ) {
+ return remove( this, selector, true );
+ },
+
+ remove: function( selector ) {
+ return remove( this, selector );
+ },
+
+ text: function( value ) {
+ return access( this, function( value ) {
+ return value === undefined ?
+ jQuery.text( this ) :
+ this.empty().each( function() {
+ if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+ this.textContent = value;
+ }
+ } );
+ }, null, value, arguments.length );
+ },
+
+ append: function() {
+ return domManip( this, arguments, function( elem ) {
+ if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+ var target = manipulationTarget( this, elem );
+ target.appendChild( elem );
+ }
+ } );
+ },
+
+ prepend: function() {
+ return domManip( this, arguments, function( elem ) {
+ if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+ var target = manipulationTarget( this, elem );
+ target.insertBefore( elem, target.firstChild );
+ }
+ } );
+ },
+
+ before: function() {
+ return domManip( this, arguments, function( elem ) {
+ if ( this.parentNode ) {
+ this.parentNode.insertBefore( elem, this );
+ }
+ } );
+ },
+
+ after: function() {
+ return domManip( this, arguments, function( elem ) {
+ if ( this.parentNode ) {
+ this.parentNode.insertBefore( elem, this.nextSibling );
+ }
+ } );
+ },
+
+ empty: function() {
+ var elem,
+ i = 0;
+
+ for ( ; ( elem = this[ i ] ) != null; i++ ) {
+ if ( elem.nodeType === 1 ) {
+
+ // Prevent memory leaks
+ jQuery.cleanData( getAll( elem, false ) );
+
+ // Remove any remaining nodes
+ elem.textContent = "";
+ }
+ }
+
+ return this;
+ },
+
+ clone: function( dataAndEvents, deepDataAndEvents ) {
+ dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
+ deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
+
+ return this.map( function() {
+ return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
+ } );
+ },
+
+ html: function( value ) {
+ return access( this, function( value ) {
+ var elem = this[ 0 ] || {},
+ i = 0,
+ l = this.length;
+
+ if ( value === undefined && elem.nodeType === 1 ) {
+ return elem.innerHTML;
+ }
+
+ // See if we can take a shortcut and just use innerHTML
+ if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
+ !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
+
+ value = jQuery.htmlPrefilter( value );
+
+ try {
+ for ( ; i < l; i++ ) {
+ elem = this[ i ] || {};
+
+ // Remove element nodes and prevent memory leaks
+ if ( elem.nodeType === 1 ) {
+ jQuery.cleanData( getAll( elem, false ) );
+ elem.innerHTML = value;
+ }
+ }
+
+ elem = 0;
+
+ // If using innerHTML throws an exception, use the fallback method
+ } catch ( e ) {}
+ }
+
+ if ( elem ) {
+ this.empty().append( value );
+ }
+ }, null, value, arguments.length );
+ },
+
+ replaceWith: function() {
+ var ignored = [];
+
+ // Make the changes, replacing each non-ignored context element with the new content
+ return domManip( this, arguments, function( elem ) {
+ var parent = this.parentNode;
+
+ if ( jQuery.inArray( this, ignored ) < 0 ) {
+ jQuery.cleanData( getAll( this ) );
+ if ( parent ) {
+ parent.replaceChild( elem, this );
+ }
+ }
+
+ // Force callback invocation
+ }, ignored );
+ }
+} );
+
+jQuery.each( {
+ appendTo: "append",
+ prependTo: "prepend",
+ insertBefore: "before",
+ insertAfter: "after",
+ replaceAll: "replaceWith"
+}, function( name, original ) {
+ jQuery.fn[ name ] = function( selector ) {
+ var elems,
+ ret = [],
+ insert = jQuery( selector ),
+ last = insert.length - 1,
+ i = 0;
+
+ for ( ; i <= last; i++ ) {
+ elems = i === last ? this : this.clone( true );
+ jQuery( insert[ i ] )[ original ]( elems );
+
+ // Support: Android <=4.0 only, PhantomJS 1 only
+ // .get() because push.apply(_, arraylike) throws on ancient WebKit
+ push.apply( ret, elems.get() );
+ }
+
+ return this.pushStack( ret );
+ };
+} );
+var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
+
+var getStyles = function( elem ) {
+
+ // Support: IE <=11 only, Firefox <=30 (#15098, #14150)
+ // IE throws on elements created in popups
+ // FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
+ var view = elem.ownerDocument.defaultView;
+
+ if ( !view || !view.opener ) {
+ view = window;
+ }
+
+ return view.getComputedStyle( elem );
+ };
+
+var swap = function( elem, options, callback ) {
+ var ret, name,
+ old = {};
+
+ // Remember the old values, and insert the new ones
+ for ( name in options ) {
+ old[ name ] = elem.style[ name ];
+ elem.style[ name ] = options[ name ];
+ }
+
+ ret = callback.call( elem );
+
+ // Revert the old values
+ for ( name in options ) {
+ elem.style[ name ] = old[ name ];
+ }
+
+ return ret;
+};
+
+
+var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
+
+
+
+( function() {
+
+ // Executing both pixelPosition & boxSizingReliable tests require only one layout
+ // so they're executed at the same time to save the second computation.
+ function computeStyleTests() {
+
+ // This is a singleton, we need to execute it only once
+ if ( !div ) {
+ return;
+ }
+
+ container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
+ "margin-top:1px;padding:0;border:0";
+ div.style.cssText =
+ "position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
+ "margin:auto;border:1px;padding:1px;" +
+ "width:60%;top:1%";
+ documentElement.appendChild( container ).appendChild( div );
+
+ var divStyle = window.getComputedStyle( div );
+ pixelPositionVal = divStyle.top !== "1%";
+
+ // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
+ reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
+
+ // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
+ // Some styles come back with percentage values, even though they shouldn't
+ div.style.right = "60%";
+ pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
+
+ // Support: IE 9 - 11 only
+ // Detect misreporting of content dimensions for box-sizing:border-box elements
+ boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
+
+ // Support: IE 9 only
+ // Detect overflow:scroll screwiness (gh-3699)
+ // Support: Chrome <=64
+ // Don't get tricked when zoom affects offsetWidth (gh-4029)
+ div.style.position = "absolute";
+ scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
+
+ documentElement.removeChild( container );
+
+ // Nullify the div so it wouldn't be stored in the memory and
+ // it will also be a sign that checks already performed
+ div = null;
+ }
+
+ function roundPixelMeasures( measure ) {
+ return Math.round( parseFloat( measure ) );
+ }
+
+ var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
+ reliableTrDimensionsVal, reliableMarginLeftVal,
+ container = document.createElement( "div" ),
+ div = document.createElement( "div" );
+
+ // Finish early in limited (non-browser) environments
+ if ( !div.style ) {
+ return;
+ }
+
+ // Support: IE <=9 - 11 only
+ // Style of cloned element affects source element cloned (#8908)
+ div.style.backgroundClip = "content-box";
+ div.cloneNode( true ).style.backgroundClip = "";
+ support.clearCloneStyle = div.style.backgroundClip === "content-box";
+
+ jQuery.extend( support, {
+ boxSizingReliable: function() {
+ computeStyleTests();
+ return boxSizingReliableVal;
+ },
+ pixelBoxStyles: function() {
+ computeStyleTests();
+ return pixelBoxStylesVal;
+ },
+ pixelPosition: function() {
+ computeStyleTests();
+ return pixelPositionVal;
+ },
+ reliableMarginLeft: function() {
+ computeStyleTests();
+ return reliableMarginLeftVal;
+ },
+ scrollboxSize: function() {
+ computeStyleTests();
+ return scrollboxSizeVal;
+ },
+
+ // Support: IE 9 - 11+, Edge 15 - 18+
+ // IE/Edge misreport `getComputedStyle` of table rows with width/height
+ // set in CSS while `offset*` properties report correct values.
+ // Behavior in IE 9 is more subtle than in newer versions & it passes
+ // some versions of this test; make sure not to make it pass there!
+ reliableTrDimensions: function() {
+ var table, tr, trChild, trStyle;
+ if ( reliableTrDimensionsVal == null ) {
+ table = document.createElement( "table" );
+ tr = document.createElement( "tr" );
+ trChild = document.createElement( "div" );
+
+ table.style.cssText = "position:absolute;left:-11111px";
+ tr.style.height = "1px";
+ trChild.style.height = "9px";
+
+ documentElement
+ .appendChild( table )
+ .appendChild( tr )
+ .appendChild( trChild );
+
+ trStyle = window.getComputedStyle( tr );
+ reliableTrDimensionsVal = parseInt( trStyle.height ) > 3;
+
+ documentElement.removeChild( table );
+ }
+ return reliableTrDimensionsVal;
+ }
+ } );
+} )();
+
+
+function curCSS( elem, name, computed ) {
+ var width, minWidth, maxWidth, ret,
+
+ // Support: Firefox 51+
+ // Retrieving style before computed somehow
+ // fixes an issue with getting wrong values
+ // on detached elements
+ style = elem.style;
+
+ computed = computed || getStyles( elem );
+
+ // getPropertyValue is needed for:
+ // .css('filter') (IE 9 only, #12537)
+ // .css('--customProperty) (#3144)
+ if ( computed ) {
+ ret = computed.getPropertyValue( name ) || computed[ name ];
+
+ if ( ret === "" && !isAttached( elem ) ) {
+ ret = jQuery.style( elem, name );
+ }
+
+ // A tribute to the "awesome hack by Dean Edwards"
+ // Android Browser returns percentage for some values,
+ // but width seems to be reliably pixels.
+ // This is against the CSSOM draft spec:
+ // https://drafts.csswg.org/cssom/#resolved-values
+ if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
+
+ // Remember the original values
+ width = style.width;
+ minWidth = style.minWidth;
+ maxWidth = style.maxWidth;
+
+ // Put in the new values to get a computed value out
+ style.minWidth = style.maxWidth = style.width = ret;
+ ret = computed.width;
+
+ // Revert the changed values
+ style.width = width;
+ style.minWidth = minWidth;
+ style.maxWidth = maxWidth;
+ }
+ }
+
+ return ret !== undefined ?
+
+ // Support: IE <=9 - 11 only
+ // IE returns zIndex value as an integer.
+ ret + "" :
+ ret;
+}
+
+
+function addGetHookIf( conditionFn, hookFn ) {
+
+ // Define the hook, we'll check on the first run if it's really needed.
+ return {
+ get: function() {
+ if ( conditionFn() ) {
+
+ // Hook not needed (or it's not possible to use it due
+ // to missing dependency), remove it.
+ delete this.get;
+ return;
+ }
+
+ // Hook needed; redefine it so that the support test is not executed again.
+ return ( this.get = hookFn ).apply( this, arguments );
+ }
+ };
+}
+
+
+var cssPrefixes = [ "Webkit", "Moz", "ms" ],
+ emptyStyle = document.createElement( "div" ).style,
+ vendorProps = {};
+
+// Return a vendor-prefixed property or undefined
+function vendorPropName( name ) {
+
+ // Check for vendor prefixed names
+ var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
+ i = cssPrefixes.length;
+
+ while ( i-- ) {
+ name = cssPrefixes[ i ] + capName;
+ if ( name in emptyStyle ) {
+ return name;
+ }
+ }
+}
+
+// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
+function finalPropName( name ) {
+ var final = jQuery.cssProps[ name ] || vendorProps[ name ];
+
+ if ( final ) {
+ return final;
+ }
+ if ( name in emptyStyle ) {
+ return name;
+ }
+ return vendorProps[ name ] = vendorPropName( name ) || name;
+}
+
+
+var
+
+ // Swappable if display is none or starts with table
+ // except "table", "table-cell", or "table-caption"
+ // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
+ rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+ rcustomProp = /^--/,
+ cssShow = { position: "absolute", visibility: "hidden", display: "block" },
+ cssNormalTransform = {
+ letterSpacing: "0",
+ fontWeight: "400"
+ };
+
+function setPositiveNumber( _elem, value, subtract ) {
+
+ // Any relative (+/-) values have already been
+ // normalized at this point
+ var matches = rcssNum.exec( value );
+ return matches ?
+
+ // Guard against undefined "subtract", e.g., when used as in cssHooks
+ Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
+ value;
+}
+
+function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
+ var i = dimension === "width" ? 1 : 0,
+ extra = 0,
+ delta = 0;
+
+ // Adjustment may not be necessary
+ if ( box === ( isBorderBox ? "border" : "content" ) ) {
+ return 0;
+ }
+
+ for ( ; i < 4; i += 2 ) {
+
+ // Both box models exclude margin
+ if ( box === "margin" ) {
+ delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
+ }
+
+ // If we get here with a content-box, we're seeking "padding" or "border" or "margin"
+ if ( !isBorderBox ) {
+
+ // Add padding
+ delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+
+ // For "border" or "margin", add border
+ if ( box !== "padding" ) {
+ delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+
+ // But still keep track of it otherwise
+ } else {
+ extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+ }
+
+ // If we get here with a border-box (content + padding + border), we're seeking "content" or
+ // "padding" or "margin"
+ } else {
+
+ // For "content", subtract padding
+ if ( box === "content" ) {
+ delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+ }
+
+ // For "content" or "padding", subtract border
+ if ( box !== "margin" ) {
+ delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+ }
+ }
+ }
+
+ // Account for positive content-box scroll gutter when requested by providing computedVal
+ if ( !isBorderBox && computedVal >= 0 ) {
+
+ // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
+ // Assuming integer scroll gutter, subtract the rest and round down
+ delta += Math.max( 0, Math.ceil(
+ elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+ computedVal -
+ delta -
+ extra -
+ 0.5
+
+ // If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
+ // Use an explicit zero to avoid NaN (gh-3964)
+ ) ) || 0;
+ }
+
+ return delta;
+}
+
+function getWidthOrHeight( elem, dimension, extra ) {
+
+ // Start with computed style
+ var styles = getStyles( elem ),
+
+ // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
+ // Fake content-box until we know it's needed to know the true value.
+ boxSizingNeeded = !support.boxSizingReliable() || extra,
+ isBorderBox = boxSizingNeeded &&
+ jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+ valueIsBorderBox = isBorderBox,
+
+ val = curCSS( elem, dimension, styles ),
+ offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
+
+ // Support: Firefox <=54
+ // Return a confounding non-pixel value or feign ignorance, as appropriate.
+ if ( rnumnonpx.test( val ) ) {
+ if ( !extra ) {
+ return val;
+ }
+ val = "auto";
+ }
+
+
+ // Support: IE 9 - 11 only
+ // Use offsetWidth/offsetHeight for when box sizing is unreliable.
+ // In those cases, the computed value can be trusted to be border-box.
+ if ( ( !support.boxSizingReliable() && isBorderBox ||
+
+ // Support: IE 10 - 11+, Edge 15 - 18+
+ // IE/Edge misreport `getComputedStyle` of table rows with width/height
+ // set in CSS while `offset*` properties report correct values.
+ // Interestingly, in some cases IE 9 doesn't suffer from this issue.
+ !support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
+
+ // Fall back to offsetWidth/offsetHeight when value is "auto"
+ // This happens for inline elements with no explicit setting (gh-3571)
+ val === "auto" ||
+
+ // Support: Android <=4.1 - 4.3 only
+ // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
+ !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
+
+ // Make sure the element is visible & connected
+ elem.getClientRects().length ) {
+
+ isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
+
+ // Where available, offsetWidth/offsetHeight approximate border box dimensions.
+ // Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
+ // retrieved value as a content box dimension.
+ valueIsBorderBox = offsetProp in elem;
+ if ( valueIsBorderBox ) {
+ val = elem[ offsetProp ];
+ }
+ }
+
+ // Normalize "" and auto
+ val = parseFloat( val ) || 0;
+
+ // Adjust for the element's box model
+ return ( val +
+ boxModelAdjustment(
+ elem,
+ dimension,
+ extra || ( isBorderBox ? "border" : "content" ),
+ valueIsBorderBox,
+ styles,
+
+ // Provide the current computed size to request scroll gutter calculation (gh-3589)
+ val
+ )
+ ) + "px";
+}
+
+jQuery.extend( {
+
+ // Add in style property hooks for overriding the default
+ // behavior of getting and setting a style property
+ cssHooks: {
+ opacity: {
+ get: function( elem, computed ) {
+ if ( computed ) {
+
+ // We should always get a number back from opacity
+ var ret = curCSS( elem, "opacity" );
+ return ret === "" ? "1" : ret;
+ }
+ }
+ }
+ },
+
+ // Don't automatically add "px" to these possibly-unitless properties
+ cssNumber: {
+ "animationIterationCount": true,
+ "columnCount": true,
+ "fillOpacity": true,
+ "flexGrow": true,
+ "flexShrink": true,
+ "fontWeight": true,
+ "gridArea": true,
+ "gridColumn": true,
+ "gridColumnEnd": true,
+ "gridColumnStart": true,
+ "gridRow": true,
+ "gridRowEnd": true,
+ "gridRowStart": true,
+ "lineHeight": true,
+ "opacity": true,
+ "order": true,
+ "orphans": true,
+ "widows": true,
+ "zIndex": true,
+ "zoom": true
+ },
+
+ // Add in properties whose names you wish to fix before
+ // setting or getting the value
+ cssProps: {},
+
+ // Get and set the style property on a DOM Node
+ style: function( elem, name, value, extra ) {
+
+ // Don't set styles on text and comment nodes
+ if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
+ return;
+ }
+
+ // Make sure that we're working with the right name
+ var ret, type, hooks,
+ origName = camelCase( name ),
+ isCustomProp = rcustomProp.test( name ),
+ style = elem.style;
+
+ // Make sure that we're working with the right name. We don't
+ // want to query the value if it is a CSS custom property
+ // since they are user-defined.
+ if ( !isCustomProp ) {
+ name = finalPropName( origName );
+ }
+
+ // Gets hook for the prefixed version, then unprefixed version
+ hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+ // Check if we're setting a value
+ if ( value !== undefined ) {
+ type = typeof value;
+
+ // Convert "+=" or "-=" to relative numbers (#7345)
+ if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
+ value = adjustCSS( elem, name, ret );
+
+ // Fixes bug #9237
+ type = "number";
+ }
+
+ // Make sure that null and NaN values aren't set (#7116)
+ if ( value == null || value !== value ) {
+ return;
+ }
+
+ // If a number was passed in, add the unit (except for certain CSS properties)
+ // The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
+ // "px" to a few hardcoded values.
+ if ( type === "number" && !isCustomProp ) {
+ value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
+ }
+
+ // background-* props affect original clone's values
+ if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
+ style[ name ] = "inherit";
+ }
+
+ // If a hook was provided, use that value, otherwise just set the specified value
+ if ( !hooks || !( "set" in hooks ) ||
+ ( value = hooks.set( elem, value, extra ) ) !== undefined ) {
+
+ if ( isCustomProp ) {
+ style.setProperty( name, value );
+ } else {
+ style[ name ] = value;
+ }
+ }
+
+ } else {
+
+ // If a hook was provided get the non-computed value from there
+ if ( hooks && "get" in hooks &&
+ ( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
+
+ return ret;
+ }
+
+ // Otherwise just get the value from the style object
+ return style[ name ];
+ }
+ },
+
+ css: function( elem, name, extra, styles ) {
+ var val, num, hooks,
+ origName = camelCase( name ),
+ isCustomProp = rcustomProp.test( name );
+
+ // Make sure that we're working with the right name. We don't
+ // want to modify the value if it is a CSS custom property
+ // since they are user-defined.
+ if ( !isCustomProp ) {
+ name = finalPropName( origName );
+ }
+
+ // Try prefixed name followed by the unprefixed name
+ hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+ // If a hook was provided get the computed value from there
+ if ( hooks && "get" in hooks ) {
+ val = hooks.get( elem, true, extra );
+ }
+
+ // Otherwise, if a way to get the computed value exists, use that
+ if ( val === undefined ) {
+ val = curCSS( elem, name, styles );
+ }
+
+ // Convert "normal" to computed value
+ if ( val === "normal" && name in cssNormalTransform ) {
+ val = cssNormalTransform[ name ];
+ }
+
+ // Make numeric if forced or a qualifier was provided and val looks numeric
+ if ( extra === "" || extra ) {
+ num = parseFloat( val );
+ return extra === true || isFinite( num ) ? num || 0 : val;
+ }
+
+ return val;
+ }
+} );
+
+jQuery.each( [ "height", "width" ], function( _i, dimension ) {
+ jQuery.cssHooks[ dimension ] = {
+ get: function( elem, computed, extra ) {
+ if ( computed ) {
+
+ // Certain elements can have dimension info if we invisibly show them
+ // but it must have a current display style that would benefit
+ return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
+
+ // Support: Safari 8+
+ // Table columns in Safari have non-zero offsetWidth & zero
+ // getBoundingClientRect().width unless display is changed.
+ // Support: IE <=11 only
+ // Running getBoundingClientRect on a disconnected node
+ // in IE throws an error.
+ ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
+ swap( elem, cssShow, function() {
+ return getWidthOrHeight( elem, dimension, extra );
+ } ) :
+ getWidthOrHeight( elem, dimension, extra );
+ }
+ },
+
+ set: function( elem, value, extra ) {
+ var matches,
+ styles = getStyles( elem ),
+
+ // Only read styles.position if the test has a chance to fail
+ // to avoid forcing a reflow.
+ scrollboxSizeBuggy = !support.scrollboxSize() &&
+ styles.position === "absolute",
+
+ // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
+ boxSizingNeeded = scrollboxSizeBuggy || extra,
+ isBorderBox = boxSizingNeeded &&
+ jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+ subtract = extra ?
+ boxModelAdjustment(
+ elem,
+ dimension,
+ extra,
+ isBorderBox,
+ styles
+ ) :
+ 0;
+
+ // Account for unreliable border-box dimensions by comparing offset* to computed and
+ // faking a content-box to get border and padding (gh-3699)
+ if ( isBorderBox && scrollboxSizeBuggy ) {
+ subtract -= Math.ceil(
+ elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+ parseFloat( styles[ dimension ] ) -
+ boxModelAdjustment( elem, dimension, "border", false, styles ) -
+ 0.5
+ );
+ }
+
+ // Convert to pixels if value adjustment is needed
+ if ( subtract && ( matches = rcssNum.exec( value ) ) &&
+ ( matches[ 3 ] || "px" ) !== "px" ) {
+
+ elem.style[ dimension ] = value;
+ value = jQuery.css( elem, dimension );
+ }
+
+ return setPositiveNumber( elem, value, subtract );
+ }
+ };
+} );
+
+jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
+ function( elem, computed ) {
+ if ( computed ) {
+ return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
+ elem.getBoundingClientRect().left -
+ swap( elem, { marginLeft: 0 }, function() {
+ return elem.getBoundingClientRect().left;
+ } )
+ ) + "px";
+ }
+ }
+);
+
+// These hooks are used by animate to expand properties
+jQuery.each( {
+ margin: "",
+ padding: "",
+ border: "Width"
+}, function( prefix, suffix ) {
+ jQuery.cssHooks[ prefix + suffix ] = {
+ expand: function( value ) {
+ var i = 0,
+ expanded = {},
+
+ // Assumes a single number if not a string
+ parts = typeof value === "string" ? value.split( " " ) : [ value ];
+
+ for ( ; i < 4; i++ ) {
+ expanded[ prefix + cssExpand[ i ] + suffix ] =
+ parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
+ }
+
+ return expanded;
+ }
+ };
+
+ if ( prefix !== "margin" ) {
+ jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
+ }
+} );
+
+jQuery.fn.extend( {
+ css: function( name, value ) {
+ return access( this, function( elem, name, value ) {
+ var styles, len,
+ map = {},
+ i = 0;
+
+ if ( Array.isArray( name ) ) {
+ styles = getStyles( elem );
+ len = name.length;
+
+ for ( ; i < len; i++ ) {
+ map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
+ }
+
+ return map;
+ }
+
+ return value !== undefined ?
+ jQuery.style( elem, name, value ) :
+ jQuery.css( elem, name );
+ }, name, value, arguments.length > 1 );
+ }
+} );
+
+
+function Tween( elem, options, prop, end, easing ) {
+ return new Tween.prototype.init( elem, options, prop, end, easing );
+}
+jQuery.Tween = Tween;
+
+Tween.prototype = {
+ constructor: Tween,
+ init: function( elem, options, prop, end, easing, unit ) {
+ this.elem = elem;
+ this.prop = prop;
+ this.easing = easing || jQuery.easing._default;
+ this.options = options;
+ this.start = this.now = this.cur();
+ this.end = end;
+ this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
+ },
+ cur: function() {
+ var hooks = Tween.propHooks[ this.prop ];
+
+ return hooks && hooks.get ?
+ hooks.get( this ) :
+ Tween.propHooks._default.get( this );
+ },
+ run: function( percent ) {
+ var eased,
+ hooks = Tween.propHooks[ this.prop ];
+
+ if ( this.options.duration ) {
+ this.pos = eased = jQuery.easing[ this.easing ](
+ percent, this.options.duration * percent, 0, 1, this.options.duration
+ );
+ } else {
+ this.pos = eased = percent;
+ }
+ this.now = ( this.end - this.start ) * eased + this.start;
+
+ if ( this.options.step ) {
+ this.options.step.call( this.elem, this.now, this );
+ }
+
+ if ( hooks && hooks.set ) {
+ hooks.set( this );
+ } else {
+ Tween.propHooks._default.set( this );
+ }
+ return this;
+ }
+};
+
+Tween.prototype.init.prototype = Tween.prototype;
+
+Tween.propHooks = {
+ _default: {
+ get: function( tween ) {
+ var result;
+
+ // Use a property on the element directly when it is not a DOM element,
+ // or when there is no matching style property that exists.
+ if ( tween.elem.nodeType !== 1 ||
+ tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
+ return tween.elem[ tween.prop ];
+ }
+
+ // Passing an empty string as a 3rd parameter to .css will automatically
+ // attempt a parseFloat and fallback to a string if the parse fails.
+ // Simple values such as "10px" are parsed to Float;
+ // complex values such as "rotate(1rad)" are returned as-is.
+ result = jQuery.css( tween.elem, tween.prop, "" );
+
+ // Empty strings, null, undefined and "auto" are converted to 0.
+ return !result || result === "auto" ? 0 : result;
+ },
+ set: function( tween ) {
+
+ // Use step hook for back compat.
+ // Use cssHook if its there.
+ // Use .style if available and use plain properties where available.
+ if ( jQuery.fx.step[ tween.prop ] ) {
+ jQuery.fx.step[ tween.prop ]( tween );
+ } else if ( tween.elem.nodeType === 1 && (
+ jQuery.cssHooks[ tween.prop ] ||
+ tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
+ jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
+ } else {
+ tween.elem[ tween.prop ] = tween.now;
+ }
+ }
+ }
+};
+
+// Support: IE <=9 only
+// Panic based approach to setting things on disconnected nodes
+Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
+ set: function( tween ) {
+ if ( tween.elem.nodeType && tween.elem.parentNode ) {
+ tween.elem[ tween.prop ] = tween.now;
+ }
+ }
+};
+
+jQuery.easing = {
+ linear: function( p ) {
+ return p;
+ },
+ swing: function( p ) {
+ return 0.5 - Math.cos( p * Math.PI ) / 2;
+ },
+ _default: "swing"
+};
+
+jQuery.fx = Tween.prototype.init;
+
+// Back compat <1.8 extension point
+jQuery.fx.step = {};
+
+
+
+
+var
+ fxNow, inProgress,
+ rfxtypes = /^(?:toggle|show|hide)$/,
+ rrun = /queueHooks$/;
+
+function schedule() {
+ if ( inProgress ) {
+ if ( document.hidden === false && window.requestAnimationFrame ) {
+ window.requestAnimationFrame( schedule );
+ } else {
+ window.setTimeout( schedule, jQuery.fx.interval );
+ }
+
+ jQuery.fx.tick();
+ }
+}
+
+// Animations created synchronously will run synchronously
+function createFxNow() {
+ window.setTimeout( function() {
+ fxNow = undefined;
+ } );
+ return ( fxNow = Date.now() );
+}
+
+// Generate parameters to create a standard animation
+function genFx( type, includeWidth ) {
+ var which,
+ i = 0,
+ attrs = { height: type };
+
+ // If we include width, step value is 1 to do all cssExpand values,
+ // otherwise step value is 2 to skip over Left and Right
+ includeWidth = includeWidth ? 1 : 0;
+ for ( ; i < 4; i += 2 - includeWidth ) {
+ which = cssExpand[ i ];
+ attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
+ }
+
+ if ( includeWidth ) {
+ attrs.opacity = attrs.width = type;
+ }
+
+ return attrs;
+}
+
+function createTween( value, prop, animation ) {
+ var tween,
+ collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
+ index = 0,
+ length = collection.length;
+ for ( ; index < length; index++ ) {
+ if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
+
+ // We're done with this property
+ return tween;
+ }
+ }
+}
+
+function defaultPrefilter( elem, props, opts ) {
+ var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
+ isBox = "width" in props || "height" in props,
+ anim = this,
+ orig = {},
+ style = elem.style,
+ hidden = elem.nodeType && isHiddenWithinTree( elem ),
+ dataShow = dataPriv.get( elem, "fxshow" );
+
+ // Queue-skipping animations hijack the fx hooks
+ if ( !opts.queue ) {
+ hooks = jQuery._queueHooks( elem, "fx" );
+ if ( hooks.unqueued == null ) {
+ hooks.unqueued = 0;
+ oldfire = hooks.empty.fire;
+ hooks.empty.fire = function() {
+ if ( !hooks.unqueued ) {
+ oldfire();
+ }
+ };
+ }
+ hooks.unqueued++;
+
+ anim.always( function() {
+
+ // Ensure the complete handler is called before this completes
+ anim.always( function() {
+ hooks.unqueued--;
+ if ( !jQuery.queue( elem, "fx" ).length ) {
+ hooks.empty.fire();
+ }
+ } );
+ } );
+ }
+
+ // Detect show/hide animations
+ for ( prop in props ) {
+ value = props[ prop ];
+ if ( rfxtypes.test( value ) ) {
+ delete props[ prop ];
+ toggle = toggle || value === "toggle";
+ if ( value === ( hidden ? "hide" : "show" ) ) {
+
+ // Pretend to be hidden if this is a "show" and
+ // there is still data from a stopped show/hide
+ if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
+ hidden = true;
+
+ // Ignore all other no-op show/hide data
+ } else {
+ continue;
+ }
+ }
+ orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
+ }
+ }
+
+ // Bail out if this is a no-op like .hide().hide()
+ propTween = !jQuery.isEmptyObject( props );
+ if ( !propTween && jQuery.isEmptyObject( orig ) ) {
+ return;
+ }
+
+ // Restrict "overflow" and "display" styles during box animations
+ if ( isBox && elem.nodeType === 1 ) {
+
+ // Support: IE <=9 - 11, Edge 12 - 15
+ // Record all 3 overflow attributes because IE does not infer the shorthand
+ // from identically-valued overflowX and overflowY and Edge just mirrors
+ // the overflowX value there.
+ opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
+
+ // Identify a display type, preferring old show/hide data over the CSS cascade
+ restoreDisplay = dataShow && dataShow.display;
+ if ( restoreDisplay == null ) {
+ restoreDisplay = dataPriv.get( elem, "display" );
+ }
+ display = jQuery.css( elem, "display" );
+ if ( display === "none" ) {
+ if ( restoreDisplay ) {
+ display = restoreDisplay;
+ } else {
+
+ // Get nonempty value(s) by temporarily forcing visibility
+ showHide( [ elem ], true );
+ restoreDisplay = elem.style.display || restoreDisplay;
+ display = jQuery.css( elem, "display" );
+ showHide( [ elem ] );
+ }
+ }
+
+ // Animate inline elements as inline-block
+ if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
+ if ( jQuery.css( elem, "float" ) === "none" ) {
+
+ // Restore the original display value at the end of pure show/hide animations
+ if ( !propTween ) {
+ anim.done( function() {
+ style.display = restoreDisplay;
+ } );
+ if ( restoreDisplay == null ) {
+ display = style.display;
+ restoreDisplay = display === "none" ? "" : display;
+ }
+ }
+ style.display = "inline-block";
+ }
+ }
+ }
+
+ if ( opts.overflow ) {
+ style.overflow = "hidden";
+ anim.always( function() {
+ style.overflow = opts.overflow[ 0 ];
+ style.overflowX = opts.overflow[ 1 ];
+ style.overflowY = opts.overflow[ 2 ];
+ } );
+ }
+
+ // Implement show/hide animations
+ propTween = false;
+ for ( prop in orig ) {
+
+ // General show/hide setup for this element animation
+ if ( !propTween ) {
+ if ( dataShow ) {
+ if ( "hidden" in dataShow ) {
+ hidden = dataShow.hidden;
+ }
+ } else {
+ dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
+ }
+
+ // Store hidden/visible for toggle so `.stop().toggle()` "reverses"
+ if ( toggle ) {
+ dataShow.hidden = !hidden;
+ }
+
+ // Show elements before animating them
+ if ( hidden ) {
+ showHide( [ elem ], true );
+ }
+
+ /* eslint-disable no-loop-func */
+
+ anim.done( function() {
+
+ /* eslint-enable no-loop-func */
+
+ // The final step of a "hide" animation is actually hiding the element
+ if ( !hidden ) {
+ showHide( [ elem ] );
+ }
+ dataPriv.remove( elem, "fxshow" );
+ for ( prop in orig ) {
+ jQuery.style( elem, prop, orig[ prop ] );
+ }
+ } );
+ }
+
+ // Per-property setup
+ propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
+ if ( !( prop in dataShow ) ) {
+ dataShow[ prop ] = propTween.start;
+ if ( hidden ) {
+ propTween.end = propTween.start;
+ propTween.start = 0;
+ }
+ }
+ }
+}
+
+function propFilter( props, specialEasing ) {
+ var index, name, easing, value, hooks;
+
+ // camelCase, specialEasing and expand cssHook pass
+ for ( index in props ) {
+ name = camelCase( index );
+ easing = specialEasing[ name ];
+ value = props[ index ];
+ if ( Array.isArray( value ) ) {
+ easing = value[ 1 ];
+ value = props[ index ] = value[ 0 ];
+ }
+
+ if ( index !== name ) {
+ props[ name ] = value;
+ delete props[ index ];
+ }
+
+ hooks = jQuery.cssHooks[ name ];
+ if ( hooks && "expand" in hooks ) {
+ value = hooks.expand( value );
+ delete props[ name ];
+
+ // Not quite $.extend, this won't overwrite existing keys.
+ // Reusing 'index' because we have the correct "name"
+ for ( index in value ) {
+ if ( !( index in props ) ) {
+ props[ index ] = value[ index ];
+ specialEasing[ index ] = easing;
+ }
+ }
+ } else {
+ specialEasing[ name ] = easing;
+ }
+ }
+}
+
+function Animation( elem, properties, options ) {
+ var result,
+ stopped,
+ index = 0,
+ length = Animation.prefilters.length,
+ deferred = jQuery.Deferred().always( function() {
+
+ // Don't match elem in the :animated selector
+ delete tick.elem;
+ } ),
+ tick = function() {
+ if ( stopped ) {
+ return false;
+ }
+ var currentTime = fxNow || createFxNow(),
+ remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
+
+ // Support: Android 2.3 only
+ // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
+ temp = remaining / animation.duration || 0,
+ percent = 1 - temp,
+ index = 0,
+ length = animation.tweens.length;
+
+ for ( ; index < length; index++ ) {
+ animation.tweens[ index ].run( percent );
+ }
+
+ deferred.notifyWith( elem, [ animation, percent, remaining ] );
+
+ // If there's more to do, yield
+ if ( percent < 1 && length ) {
+ return remaining;
+ }
+
+ // If this was an empty animation, synthesize a final progress notification
+ if ( !length ) {
+ deferred.notifyWith( elem, [ animation, 1, 0 ] );
+ }
+
+ // Resolve the animation and report its conclusion
+ deferred.resolveWith( elem, [ animation ] );
+ return false;
+ },
+ animation = deferred.promise( {
+ elem: elem,
+ props: jQuery.extend( {}, properties ),
+ opts: jQuery.extend( true, {
+ specialEasing: {},
+ easing: jQuery.easing._default
+ }, options ),
+ originalProperties: properties,
+ originalOptions: options,
+ startTime: fxNow || createFxNow(),
+ duration: options.duration,
+ tweens: [],
+ createTween: function( prop, end ) {
+ var tween = jQuery.Tween( elem, animation.opts, prop, end,
+ animation.opts.specialEasing[ prop ] || animation.opts.easing );
+ animation.tweens.push( tween );
+ return tween;
+ },
+ stop: function( gotoEnd ) {
+ var index = 0,
+
+ // If we are going to the end, we want to run all the tweens
+ // otherwise we skip this part
+ length = gotoEnd ? animation.tweens.length : 0;
+ if ( stopped ) {
+ return this;
+ }
+ stopped = true;
+ for ( ; index < length; index++ ) {
+ animation.tweens[ index ].run( 1 );
+ }
+
+ // Resolve when we played the last frame; otherwise, reject
+ if ( gotoEnd ) {
+ deferred.notifyWith( elem, [ animation, 1, 0 ] );
+ deferred.resolveWith( elem, [ animation, gotoEnd ] );
+ } else {
+ deferred.rejectWith( elem, [ animation, gotoEnd ] );
+ }
+ return this;
+ }
+ } ),
+ props = animation.props;
+
+ propFilter( props, animation.opts.specialEasing );
+
+ for ( ; index < length; index++ ) {
+ result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
+ if ( result ) {
+ if ( isFunction( result.stop ) ) {
+ jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
+ result.stop.bind( result );
+ }
+ return result;
+ }
+ }
+
+ jQuery.map( props, createTween, animation );
+
+ if ( isFunction( animation.opts.start ) ) {
+ animation.opts.start.call( elem, animation );
+ }
+
+ // Attach callbacks from options
+ animation
+ .progress( animation.opts.progress )
+ .done( animation.opts.done, animation.opts.complete )
+ .fail( animation.opts.fail )
+ .always( animation.opts.always );
+
+ jQuery.fx.timer(
+ jQuery.extend( tick, {
+ elem: elem,
+ anim: animation,
+ queue: animation.opts.queue
+ } )
+ );
+
+ return animation;
+}
+
+jQuery.Animation = jQuery.extend( Animation, {
+
+ tweeners: {
+ "*": [ function( prop, value ) {
+ var tween = this.createTween( prop, value );
+ adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
+ return tween;
+ } ]
+ },
+
+ tweener: function( props, callback ) {
+ if ( isFunction( props ) ) {
+ callback = props;
+ props = [ "*" ];
+ } else {
+ props = props.match( rnothtmlwhite );
+ }
+
+ var prop,
+ index = 0,
+ length = props.length;
+
+ for ( ; index < length; index++ ) {
+ prop = props[ index ];
+ Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
+ Animation.tweeners[ prop ].unshift( callback );
+ }
+ },
+
+ prefilters: [ defaultPrefilter ],
+
+ prefilter: function( callback, prepend ) {
+ if ( prepend ) {
+ Animation.prefilters.unshift( callback );
+ } else {
+ Animation.prefilters.push( callback );
+ }
+ }
+} );
+
+jQuery.speed = function( speed, easing, fn ) {
+ var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
+ complete: fn || !fn && easing ||
+ isFunction( speed ) && speed,
+ duration: speed,
+ easing: fn && easing || easing && !isFunction( easing ) && easing
+ };
+
+ // Go to the end state if fx are off
+ if ( jQuery.fx.off ) {
+ opt.duration = 0;
+
+ } else {
+ if ( typeof opt.duration !== "number" ) {
+ if ( opt.duration in jQuery.fx.speeds ) {
+ opt.duration = jQuery.fx.speeds[ opt.duration ];
+
+ } else {
+ opt.duration = jQuery.fx.speeds._default;
+ }
+ }
+ }
+
+ // Normalize opt.queue - true/undefined/null -> "fx"
+ if ( opt.queue == null || opt.queue === true ) {
+ opt.queue = "fx";
+ }
+
+ // Queueing
+ opt.old = opt.complete;
+
+ opt.complete = function() {
+ if ( isFunction( opt.old ) ) {
+ opt.old.call( this );
+ }
+
+ if ( opt.queue ) {
+ jQuery.dequeue( this, opt.queue );
+ }
+ };
+
+ return opt;
+};
+
+jQuery.fn.extend( {
+ fadeTo: function( speed, to, easing, callback ) {
+
+ // Show any hidden elements after setting opacity to 0
+ return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
+
+ // Animate to the value specified
+ .end().animate( { opacity: to }, speed, easing, callback );
+ },
+ animate: function( prop, speed, easing, callback ) {
+ var empty = jQuery.isEmptyObject( prop ),
+ optall = jQuery.speed( speed, easing, callback ),
+ doAnimation = function() {
+
+ // Operate on a copy of prop so per-property easing won't be lost
+ var anim = Animation( this, jQuery.extend( {}, prop ), optall );
+
+ // Empty animations, or finishing resolves immediately
+ if ( empty || dataPriv.get( this, "finish" ) ) {
+ anim.stop( true );
+ }
+ };
+ doAnimation.finish = doAnimation;
+
+ return empty || optall.queue === false ?
+ this.each( doAnimation ) :
+ this.queue( optall.queue, doAnimation );
+ },
+ stop: function( type, clearQueue, gotoEnd ) {
+ var stopQueue = function( hooks ) {
+ var stop = hooks.stop;
+ delete hooks.stop;
+ stop( gotoEnd );
+ };
+
+ if ( typeof type !== "string" ) {
+ gotoEnd = clearQueue;
+ clearQueue = type;
+ type = undefined;
+ }
+ if ( clearQueue ) {
+ this.queue( type || "fx", [] );
+ }
+
+ return this.each( function() {
+ var dequeue = true,
+ index = type != null && type + "queueHooks",
+ timers = jQuery.timers,
+ data = dataPriv.get( this );
+
+ if ( index ) {
+ if ( data[ index ] && data[ index ].stop ) {
+ stopQueue( data[ index ] );
+ }
+ } else {
+ for ( index in data ) {
+ if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
+ stopQueue( data[ index ] );
+ }
+ }
+ }
+
+ for ( index = timers.length; index--; ) {
+ if ( timers[ index ].elem === this &&
+ ( type == null || timers[ index ].queue === type ) ) {
+
+ timers[ index ].anim.stop( gotoEnd );
+ dequeue = false;
+ timers.splice( index, 1 );
+ }
+ }
+
+ // Start the next in the queue if the last step wasn't forced.
+ // Timers currently will call their complete callbacks, which
+ // will dequeue but only if they were gotoEnd.
+ if ( dequeue || !gotoEnd ) {
+ jQuery.dequeue( this, type );
+ }
+ } );
+ },
+ finish: function( type ) {
+ if ( type !== false ) {
+ type = type || "fx";
+ }
+ return this.each( function() {
+ var index,
+ data = dataPriv.get( this ),
+ queue = data[ type + "queue" ],
+ hooks = data[ type + "queueHooks" ],
+ timers = jQuery.timers,
+ length = queue ? queue.length : 0;
+
+ // Enable finishing flag on private data
+ data.finish = true;
+
+ // Empty the queue first
+ jQuery.queue( this, type, [] );
+
+ if ( hooks && hooks.stop ) {
+ hooks.stop.call( this, true );
+ }
+
+ // Look for any active animations, and finish them
+ for ( index = timers.length; index--; ) {
+ if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
+ timers[ index ].anim.stop( true );
+ timers.splice( index, 1 );
+ }
+ }
+
+ // Look for any animations in the old queue and finish them
+ for ( index = 0; index < length; index++ ) {
+ if ( queue[ index ] && queue[ index ].finish ) {
+ queue[ index ].finish.call( this );
+ }
+ }
+
+ // Turn off finishing flag
+ delete data.finish;
+ } );
+ }
+} );
+
+jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
+ var cssFn = jQuery.fn[ name ];
+ jQuery.fn[ name ] = function( speed, easing, callback ) {
+ return speed == null || typeof speed === "boolean" ?
+ cssFn.apply( this, arguments ) :
+ this.animate( genFx( name, true ), speed, easing, callback );
+ };
+} );
+
+// Generate shortcuts for custom animations
+jQuery.each( {
+ slideDown: genFx( "show" ),
+ slideUp: genFx( "hide" ),
+ slideToggle: genFx( "toggle" ),
+ fadeIn: { opacity: "show" },
+ fadeOut: { opacity: "hide" },
+ fadeToggle: { opacity: "toggle" }
+}, function( name, props ) {
+ jQuery.fn[ name ] = function( speed, easing, callback ) {
+ return this.animate( props, speed, easing, callback );
+ };
+} );
+
+jQuery.timers = [];
+jQuery.fx.tick = function() {
+ var timer,
+ i = 0,
+ timers = jQuery.timers;
+
+ fxNow = Date.now();
+
+ for ( ; i < timers.length; i++ ) {
+ timer = timers[ i ];
+
+ // Run the timer and safely remove it when done (allowing for external removal)
+ if ( !timer() && timers[ i ] === timer ) {
+ timers.splice( i--, 1 );
+ }
+ }
+
+ if ( !timers.length ) {
+ jQuery.fx.stop();
+ }
+ fxNow = undefined;
+};
+
+jQuery.fx.timer = function( timer ) {
+ jQuery.timers.push( timer );
+ jQuery.fx.start();
+};
+
+jQuery.fx.interval = 13;
+jQuery.fx.start = function() {
+ if ( inProgress ) {
+ return;
+ }
+
+ inProgress = true;
+ schedule();
+};
+
+jQuery.fx.stop = function() {
+ inProgress = null;
+};
+
+jQuery.fx.speeds = {
+ slow: 600,
+ fast: 200,
+
+ // Default speed
+ _default: 400
+};
+
+
+// Based off of the plugin by Clint Helfers, with permission.
+// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
+jQuery.fn.delay = function( time, type ) {
+ time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
+ type = type || "fx";
+
+ return this.queue( type, function( next, hooks ) {
+ var timeout = window.setTimeout( next, time );
+ hooks.stop = function() {
+ window.clearTimeout( timeout );
+ };
+ } );
+};
+
+
+( function() {
+ var input = document.createElement( "input" ),
+ select = document.createElement( "select" ),
+ opt = select.appendChild( document.createElement( "option" ) );
+
+ input.type = "checkbox";
+
+ // Support: Android <=4.3 only
+ // Default value for a checkbox should be "on"
+ support.checkOn = input.value !== "";
+
+ // Support: IE <=11 only
+ // Must access selectedIndex to make default options select
+ support.optSelected = opt.selected;
+
+ // Support: IE <=11 only
+ // An input loses its value after becoming a radio
+ input = document.createElement( "input" );
+ input.value = "t";
+ input.type = "radio";
+ support.radioValue = input.value === "t";
+} )();
+
+
+var boolHook,
+ attrHandle = jQuery.expr.attrHandle;
+
+jQuery.fn.extend( {
+ attr: function( name, value ) {
+ return access( this, jQuery.attr, name, value, arguments.length > 1 );
+ },
+
+ removeAttr: function( name ) {
+ return this.each( function() {
+ jQuery.removeAttr( this, name );
+ } );
+ }
+} );
+
+jQuery.extend( {
+ attr: function( elem, name, value ) {
+ var ret, hooks,
+ nType = elem.nodeType;
+
+ // Don't get/set attributes on text, comment and attribute nodes
+ if ( nType === 3 || nType === 8 || nType === 2 ) {
+ return;
+ }
+
+ // Fallback to prop when attributes are not supported
+ if ( typeof elem.getAttribute === "undefined" ) {
+ return jQuery.prop( elem, name, value );
+ }
+
+ // Attribute hooks are determined by the lowercase version
+ // Grab necessary hook if one is defined
+ if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+ hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
+ ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
+ }
+
+ if ( value !== undefined ) {
+ if ( value === null ) {
+ jQuery.removeAttr( elem, name );
+ return;
+ }
+
+ if ( hooks && "set" in hooks &&
+ ( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+ return ret;
+ }
+
+ elem.setAttribute( name, value + "" );
+ return value;
+ }
+
+ if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+ return ret;
+ }
+
+ ret = jQuery.find.attr( elem, name );
+
+ // Non-existent attributes return null, we normalize to undefined
+ return ret == null ? undefined : ret;
+ },
+
+ attrHooks: {
+ type: {
+ set: function( elem, value ) {
+ if ( !support.radioValue && value === "radio" &&
+ nodeName( elem, "input" ) ) {
+ var val = elem.value;
+ elem.setAttribute( "type", value );
+ if ( val ) {
+ elem.value = val;
+ }
+ return value;
+ }
+ }
+ }
+ },
+
+ removeAttr: function( elem, value ) {
+ var name,
+ i = 0,
+
+ // Attribute names can contain non-HTML whitespace characters
+ // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
+ attrNames = value && value.match( rnothtmlwhite );
+
+ if ( attrNames && elem.nodeType === 1 ) {
+ while ( ( name = attrNames[ i++ ] ) ) {
+ elem.removeAttribute( name );
+ }
+ }
+ }
+} );
+
+// Hooks for boolean attributes
+boolHook = {
+ set: function( elem, value, name ) {
+ if ( value === false ) {
+
+ // Remove boolean attributes when set to false
+ jQuery.removeAttr( elem, name );
+ } else {
+ elem.setAttribute( name, name );
+ }
+ return name;
+ }
+};
+
+jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
+ var getter = attrHandle[ name ] || jQuery.find.attr;
+
+ attrHandle[ name ] = function( elem, name, isXML ) {
+ var ret, handle,
+ lowercaseName = name.toLowerCase();
+
+ if ( !isXML ) {
+
+ // Avoid an infinite loop by temporarily removing this function from the getter
+ handle = attrHandle[ lowercaseName ];
+ attrHandle[ lowercaseName ] = ret;
+ ret = getter( elem, name, isXML ) != null ?
+ lowercaseName :
+ null;
+ attrHandle[ lowercaseName ] = handle;
+ }
+ return ret;
+ };
+} );
+
+
+
+
+var rfocusable = /^(?:input|select|textarea|button)$/i,
+ rclickable = /^(?:a|area)$/i;
+
+jQuery.fn.extend( {
+ prop: function( name, value ) {
+ return access( this, jQuery.prop, name, value, arguments.length > 1 );
+ },
+
+ removeProp: function( name ) {
+ return this.each( function() {
+ delete this[ jQuery.propFix[ name ] || name ];
+ } );
+ }
+} );
+
+jQuery.extend( {
+ prop: function( elem, name, value ) {
+ var ret, hooks,
+ nType = elem.nodeType;
+
+ // Don't get/set properties on text, comment and attribute nodes
+ if ( nType === 3 || nType === 8 || nType === 2 ) {
+ return;
+ }
+
+ if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+
+ // Fix name and attach hooks
+ name = jQuery.propFix[ name ] || name;
+ hooks = jQuery.propHooks[ name ];
+ }
+
+ if ( value !== undefined ) {
+ if ( hooks && "set" in hooks &&
+ ( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+ return ret;
+ }
+
+ return ( elem[ name ] = value );
+ }
+
+ if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+ return ret;
+ }
+
+ return elem[ name ];
+ },
+
+ propHooks: {
+ tabIndex: {
+ get: function( elem ) {
+
+ // Support: IE <=9 - 11 only
+ // elem.tabIndex doesn't always return the
+ // correct value when it hasn't been explicitly set
+ // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
+ // Use proper attribute retrieval(#12072)
+ var tabindex = jQuery.find.attr( elem, "tabindex" );
+
+ if ( tabindex ) {
+ return parseInt( tabindex, 10 );
+ }
+
+ if (
+ rfocusable.test( elem.nodeName ) ||
+ rclickable.test( elem.nodeName ) &&
+ elem.href
+ ) {
+ return 0;
+ }
+
+ return -1;
+ }
+ }
+ },
+
+ propFix: {
+ "for": "htmlFor",
+ "class": "className"
+ }
+} );
+
+// Support: IE <=11 only
+// Accessing the selectedIndex property
+// forces the browser to respect setting selected
+// on the option
+// The getter ensures a default option is selected
+// when in an optgroup
+// eslint rule "no-unused-expressions" is disabled for this code
+// since it considers such accessions noop
+if ( !support.optSelected ) {
+ jQuery.propHooks.selected = {
+ get: function( elem ) {
+
+ /* eslint no-unused-expressions: "off" */
+
+ var parent = elem.parentNode;
+ if ( parent && parent.parentNode ) {
+ parent.parentNode.selectedIndex;
+ }
+ return null;
+ },
+ set: function( elem ) {
+
+ /* eslint no-unused-expressions: "off" */
+
+ var parent = elem.parentNode;
+ if ( parent ) {
+ parent.selectedIndex;
+
+ if ( parent.parentNode ) {
+ parent.parentNode.selectedIndex;
+ }
+ }
+ }
+ };
+}
+
+jQuery.each( [
+ "tabIndex",
+ "readOnly",
+ "maxLength",
+ "cellSpacing",
+ "cellPadding",
+ "rowSpan",
+ "colSpan",
+ "useMap",
+ "frameBorder",
+ "contentEditable"
+], function() {
+ jQuery.propFix[ this.toLowerCase() ] = this;
+} );
+
+
+
+
+ // Strip and collapse whitespace according to HTML spec
+ // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
+ function stripAndCollapse( value ) {
+ var tokens = value.match( rnothtmlwhite ) || [];
+ return tokens.join( " " );
+ }
+
+
+function getClass( elem ) {
+ return elem.getAttribute && elem.getAttribute( "class" ) || "";
+}
+
+function classesToArray( value ) {
+ if ( Array.isArray( value ) ) {
+ return value;
+ }
+ if ( typeof value === "string" ) {
+ return value.match( rnothtmlwhite ) || [];
+ }
+ return [];
+}
+
+jQuery.fn.extend( {
+ addClass: function( value ) {
+ var classes, elem, cur, curValue, clazz, j, finalValue,
+ i = 0;
+
+ if ( isFunction( value ) ) {
+ return this.each( function( j ) {
+ jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
+ } );
+ }
+
+ classes = classesToArray( value );
+
+ if ( classes.length ) {
+ while ( ( elem = this[ i++ ] ) ) {
+ curValue = getClass( elem );
+ cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+ if ( cur ) {
+ j = 0;
+ while ( ( clazz = classes[ j++ ] ) ) {
+ if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+ cur += clazz + " ";
+ }
+ }
+
+ // Only assign if different to avoid unneeded rendering.
+ finalValue = stripAndCollapse( cur );
+ if ( curValue !== finalValue ) {
+ elem.setAttribute( "class", finalValue );
+ }
+ }
+ }
+ }
+
+ return this;
+ },
+
+ removeClass: function( value ) {
+ var classes, elem, cur, curValue, clazz, j, finalValue,
+ i = 0;
+
+ if ( isFunction( value ) ) {
+ return this.each( function( j ) {
+ jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
+ } );
+ }
+
+ if ( !arguments.length ) {
+ return this.attr( "class", "" );
+ }
+
+ classes = classesToArray( value );
+
+ if ( classes.length ) {
+ while ( ( elem = this[ i++ ] ) ) {
+ curValue = getClass( elem );
+
+ // This expression is here for better compressibility (see addClass)
+ cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+ if ( cur ) {
+ j = 0;
+ while ( ( clazz = classes[ j++ ] ) ) {
+
+ // Remove *all* instances
+ while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
+ cur = cur.replace( " " + clazz + " ", " " );
+ }
+ }
+
+ // Only assign if different to avoid unneeded rendering.
+ finalValue = stripAndCollapse( cur );
+ if ( curValue !== finalValue ) {
+ elem.setAttribute( "class", finalValue );
+ }
+ }
+ }
+ }
+
+ return this;
+ },
+
+ toggleClass: function( value, stateVal ) {
+ var type = typeof value,
+ isValidValue = type === "string" || Array.isArray( value );
+
+ if ( typeof stateVal === "boolean" && isValidValue ) {
+ return stateVal ? this.addClass( value ) : this.removeClass( value );
+ }
+
+ if ( isFunction( value ) ) {
+ return this.each( function( i ) {
+ jQuery( this ).toggleClass(
+ value.call( this, i, getClass( this ), stateVal ),
+ stateVal
+ );
+ } );
+ }
+
+ return this.each( function() {
+ var className, i, self, classNames;
+
+ if ( isValidValue ) {
+
+ // Toggle individual class names
+ i = 0;
+ self = jQuery( this );
+ classNames = classesToArray( value );
+
+ while ( ( className = classNames[ i++ ] ) ) {
+
+ // Check each className given, space separated list
+ if ( self.hasClass( className ) ) {
+ self.removeClass( className );
+ } else {
+ self.addClass( className );
+ }
+ }
+
+ // Toggle whole class name
+ } else if ( value === undefined || type === "boolean" ) {
+ className = getClass( this );
+ if ( className ) {
+
+ // Store className if set
+ dataPriv.set( this, "__className__", className );
+ }
+
+ // If the element has a class name or if we're passed `false`,
+ // then remove the whole classname (if there was one, the above saved it).
+ // Otherwise bring back whatever was previously saved (if anything),
+ // falling back to the empty string if nothing was stored.
+ if ( this.setAttribute ) {
+ this.setAttribute( "class",
+ className || value === false ?
+ "" :
+ dataPriv.get( this, "__className__" ) || ""
+ );
+ }
+ }
+ } );
+ },
+
+ hasClass: function( selector ) {
+ var className, elem,
+ i = 0;
+
+ className = " " + selector + " ";
+ while ( ( elem = this[ i++ ] ) ) {
+ if ( elem.nodeType === 1 &&
+ ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
+ return true;
+ }
+ }
+
+ return false;
+ }
+} );
+
+
+
+
+var rreturn = /\r/g;
+
+jQuery.fn.extend( {
+ val: function( value ) {
+ var hooks, ret, valueIsFunction,
+ elem = this[ 0 ];
+
+ if ( !arguments.length ) {
+ if ( elem ) {
+ hooks = jQuery.valHooks[ elem.type ] ||
+ jQuery.valHooks[ elem.nodeName.toLowerCase() ];
+
+ if ( hooks &&
+ "get" in hooks &&
+ ( ret = hooks.get( elem, "value" ) ) !== undefined
+ ) {
+ return ret;
+ }
+
+ ret = elem.value;
+
+ // Handle most common string cases
+ if ( typeof ret === "string" ) {
+ return ret.replace( rreturn, "" );
+ }
+
+ // Handle cases where value is null/undef or number
+ return ret == null ? "" : ret;
+ }
+
+ return;
+ }
+
+ valueIsFunction = isFunction( value );
+
+ return this.each( function( i ) {
+ var val;
+
+ if ( this.nodeType !== 1 ) {
+ return;
+ }
+
+ if ( valueIsFunction ) {
+ val = value.call( this, i, jQuery( this ).val() );
+ } else {
+ val = value;
+ }
+
+ // Treat null/undefined as ""; convert numbers to string
+ if ( val == null ) {
+ val = "";
+
+ } else if ( typeof val === "number" ) {
+ val += "";
+
+ } else if ( Array.isArray( val ) ) {
+ val = jQuery.map( val, function( value ) {
+ return value == null ? "" : value + "";
+ } );
+ }
+
+ hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
+
+ // If set returns undefined, fall back to normal setting
+ if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
+ this.value = val;
+ }
+ } );
+ }
+} );
+
+jQuery.extend( {
+ valHooks: {
+ option: {
+ get: function( elem ) {
+
+ var val = jQuery.find.attr( elem, "value" );
+ return val != null ?
+ val :
+
+ // Support: IE <=10 - 11 only
+ // option.text throws exceptions (#14686, #14858)
+ // Strip and collapse whitespace
+ // https://html.spec.whatwg.org/#strip-and-collapse-whitespace
+ stripAndCollapse( jQuery.text( elem ) );
+ }
+ },
+ select: {
+ get: function( elem ) {
+ var value, option, i,
+ options = elem.options,
+ index = elem.selectedIndex,
+ one = elem.type === "select-one",
+ values = one ? null : [],
+ max = one ? index + 1 : options.length;
+
+ if ( index < 0 ) {
+ i = max;
+
+ } else {
+ i = one ? index : 0;
+ }
+
+ // Loop through all the selected options
+ for ( ; i < max; i++ ) {
+ option = options[ i ];
+
+ // Support: IE <=9 only
+ // IE8-9 doesn't update selected after form reset (#2551)
+ if ( ( option.selected || i === index ) &&
+
+ // Don't return options that are disabled or in a disabled optgroup
+ !option.disabled &&
+ ( !option.parentNode.disabled ||
+ !nodeName( option.parentNode, "optgroup" ) ) ) {
+
+ // Get the specific value for the option
+ value = jQuery( option ).val();
+
+ // We don't need an array for one selects
+ if ( one ) {
+ return value;
+ }
+
+ // Multi-Selects return an array
+ values.push( value );
+ }
+ }
+
+ return values;
+ },
+
+ set: function( elem, value ) {
+ var optionSet, option,
+ options = elem.options,
+ values = jQuery.makeArray( value ),
+ i = options.length;
+
+ while ( i-- ) {
+ option = options[ i ];
+
+ /* eslint-disable no-cond-assign */
+
+ if ( option.selected =
+ jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
+ ) {
+ optionSet = true;
+ }
+
+ /* eslint-enable no-cond-assign */
+ }
+
+ // Force browsers to behave consistently when non-matching value is set
+ if ( !optionSet ) {
+ elem.selectedIndex = -1;
+ }
+ return values;
+ }
+ }
+ }
+} );
+
+// Radios and checkboxes getter/setter
+jQuery.each( [ "radio", "checkbox" ], function() {
+ jQuery.valHooks[ this ] = {
+ set: function( elem, value ) {
+ if ( Array.isArray( value ) ) {
+ return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
+ }
+ }
+ };
+ if ( !support.checkOn ) {
+ jQuery.valHooks[ this ].get = function( elem ) {
+ return elem.getAttribute( "value" ) === null ? "on" : elem.value;
+ };
+ }
+} );
+
+
+
+
+// Return jQuery for attributes-only inclusion
+
+
+support.focusin = "onfocusin" in window;
+
+
+var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
+ stopPropagationCallback = function( e ) {
+ e.stopPropagation();
+ };
+
+jQuery.extend( jQuery.event, {
+
+ trigger: function( event, data, elem, onlyHandlers ) {
+
+ var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
+ eventPath = [ elem || document ],
+ type = hasOwn.call( event, "type" ) ? event.type : event,
+ namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
+
+ cur = lastElement = tmp = elem = elem || document;
+
+ // Don't do events on text and comment nodes
+ if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
+ return;
+ }
+
+ // focus/blur morphs to focusin/out; ensure we're not firing them right now
+ if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
+ return;
+ }
+
+ if ( type.indexOf( "." ) > -1 ) {
+
+ // Namespaced trigger; create a regexp to match event type in handle()
+ namespaces = type.split( "." );
+ type = namespaces.shift();
+ namespaces.sort();
+ }
+ ontype = type.indexOf( ":" ) < 0 && "on" + type;
+
+ // Caller can pass in a jQuery.Event object, Object, or just an event type string
+ event = event[ jQuery.expando ] ?
+ event :
+ new jQuery.Event( type, typeof event === "object" && event );
+
+ // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
+ event.isTrigger = onlyHandlers ? 2 : 3;
+ event.namespace = namespaces.join( "." );
+ event.rnamespace = event.namespace ?
+ new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
+ null;
+
+ // Clean up the event in case it is being reused
+ event.result = undefined;
+ if ( !event.target ) {
+ event.target = elem;
+ }
+
+ // Clone any incoming data and prepend the event, creating the handler arg list
+ data = data == null ?
+ [ event ] :
+ jQuery.makeArray( data, [ event ] );
+
+ // Allow special events to draw outside the lines
+ special = jQuery.event.special[ type ] || {};
+ if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
+ return;
+ }
+
+ // Determine event propagation path in advance, per W3C events spec (#9951)
+ // Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
+ if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
+
+ bubbleType = special.delegateType || type;
+ if ( !rfocusMorph.test( bubbleType + type ) ) {
+ cur = cur.parentNode;
+ }
+ for ( ; cur; cur = cur.parentNode ) {
+ eventPath.push( cur );
+ tmp = cur;
+ }
+
+ // Only add window if we got to document (e.g., not plain obj or detached DOM)
+ if ( tmp === ( elem.ownerDocument || document ) ) {
+ eventPath.push( tmp.defaultView || tmp.parentWindow || window );
+ }
+ }
+
+ // Fire handlers on the event path
+ i = 0;
+ while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
+ lastElement = cur;
+ event.type = i > 1 ?
+ bubbleType :
+ special.bindType || type;
+
+ // jQuery handler
+ handle = (
+ dataPriv.get( cur, "events" ) || Object.create( null )
+ )[ event.type ] &&
+ dataPriv.get( cur, "handle" );
+ if ( handle ) {
+ handle.apply( cur, data );
+ }
+
+ // Native handler
+ handle = ontype && cur[ ontype ];
+ if ( handle && handle.apply && acceptData( cur ) ) {
+ event.result = handle.apply( cur, data );
+ if ( event.result === false ) {
+ event.preventDefault();
+ }
+ }
+ }
+ event.type = type;
+
+ // If nobody prevented the default action, do it now
+ if ( !onlyHandlers && !event.isDefaultPrevented() ) {
+
+ if ( ( !special._default ||
+ special._default.apply( eventPath.pop(), data ) === false ) &&
+ acceptData( elem ) ) {
+
+ // Call a native DOM method on the target with the same name as the event.
+ // Don't do default actions on window, that's where global variables be (#6170)
+ if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
+
+ // Don't re-trigger an onFOO event when we call its FOO() method
+ tmp = elem[ ontype ];
+
+ if ( tmp ) {
+ elem[ ontype ] = null;
+ }
+
+ // Prevent re-triggering of the same event, since we already bubbled it above
+ jQuery.event.triggered = type;
+
+ if ( event.isPropagationStopped() ) {
+ lastElement.addEventListener( type, stopPropagationCallback );
+ }
+
+ elem[ type ]();
+
+ if ( event.isPropagationStopped() ) {
+ lastElement.removeEventListener( type, stopPropagationCallback );
+ }
+
+ jQuery.event.triggered = undefined;
+
+ if ( tmp ) {
+ elem[ ontype ] = tmp;
+ }
+ }
+ }
+ }
+
+ return event.result;
+ },
+
+ // Piggyback on a donor event to simulate a different one
+ // Used only for `focus(in | out)` events
+ simulate: function( type, elem, event ) {
+ var e = jQuery.extend(
+ new jQuery.Event(),
+ event,
+ {
+ type: type,
+ isSimulated: true
+ }
+ );
+
+ jQuery.event.trigger( e, null, elem );
+ }
+
+} );
+
+jQuery.fn.extend( {
+
+ trigger: function( type, data ) {
+ return this.each( function() {
+ jQuery.event.trigger( type, data, this );
+ } );
+ },
+ triggerHandler: function( type, data ) {
+ var elem = this[ 0 ];
+ if ( elem ) {
+ return jQuery.event.trigger( type, data, elem, true );
+ }
+ }
+} );
+
+
+// Support: Firefox <=44
+// Firefox doesn't have focus(in | out) events
+// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
+//
+// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
+// focus(in | out) events fire after focus & blur events,
+// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
+// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
+if ( !support.focusin ) {
+ jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
+
+ // Attach a single capturing handler on the document while someone wants focusin/focusout
+ var handler = function( event ) {
+ jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
+ };
+
+ jQuery.event.special[ fix ] = {
+ setup: function() {
+
+ // Handle: regular nodes (via `this.ownerDocument`), window
+ // (via `this.document`) & document (via `this`).
+ var doc = this.ownerDocument || this.document || this,
+ attaches = dataPriv.access( doc, fix );
+
+ if ( !attaches ) {
+ doc.addEventListener( orig, handler, true );
+ }
+ dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
+ },
+ teardown: function() {
+ var doc = this.ownerDocument || this.document || this,
+ attaches = dataPriv.access( doc, fix ) - 1;
+
+ if ( !attaches ) {
+ doc.removeEventListener( orig, handler, true );
+ dataPriv.remove( doc, fix );
+
+ } else {
+ dataPriv.access( doc, fix, attaches );
+ }
+ }
+ };
+ } );
+}
+var location = window.location;
+
+var nonce = { guid: Date.now() };
+
+var rquery = ( /\?/ );
+
+
+
+// Cross-browser xml parsing
+jQuery.parseXML = function( data ) {
+ var xml;
+ if ( !data || typeof data !== "string" ) {
+ return null;
+ }
+
+ // Support: IE 9 - 11 only
+ // IE throws on parseFromString with invalid input.
+ try {
+ xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
+ } catch ( e ) {
+ xml = undefined;
+ }
+
+ if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) {
+ jQuery.error( "Invalid XML: " + data );
+ }
+ return xml;
+};
+
+
+var
+ rbracket = /\[\]$/,
+ rCRLF = /\r?\n/g,
+ rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
+ rsubmittable = /^(?:input|select|textarea|keygen)/i;
+
+function buildParams( prefix, obj, traditional, add ) {
+ var name;
+
+ if ( Array.isArray( obj ) ) {
+
+ // Serialize array item.
+ jQuery.each( obj, function( i, v ) {
+ if ( traditional || rbracket.test( prefix ) ) {
+
+ // Treat each array item as a scalar.
+ add( prefix, v );
+
+ } else {
+
+ // Item is non-scalar (array or object), encode its numeric index.
+ buildParams(
+ prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
+ v,
+ traditional,
+ add
+ );
+ }
+ } );
+
+ } else if ( !traditional && toType( obj ) === "object" ) {
+
+ // Serialize object item.
+ for ( name in obj ) {
+ buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
+ }
+
+ } else {
+
+ // Serialize scalar item.
+ add( prefix, obj );
+ }
+}
+
+// Serialize an array of form elements or a set of
+// key/values into a query string
+jQuery.param = function( a, traditional ) {
+ var prefix,
+ s = [],
+ add = function( key, valueOrFunction ) {
+
+ // If value is a function, invoke it and use its return value
+ var value = isFunction( valueOrFunction ) ?
+ valueOrFunction() :
+ valueOrFunction;
+
+ s[ s.length ] = encodeURIComponent( key ) + "=" +
+ encodeURIComponent( value == null ? "" : value );
+ };
+
+ if ( a == null ) {
+ return "";
+ }
+
+ // If an array was passed in, assume that it is an array of form elements.
+ if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
+
+ // Serialize the form elements
+ jQuery.each( a, function() {
+ add( this.name, this.value );
+ } );
+
+ } else {
+
+ // If traditional, encode the "old" way (the way 1.3.2 or older
+ // did it), otherwise encode params recursively.
+ for ( prefix in a ) {
+ buildParams( prefix, a[ prefix ], traditional, add );
+ }
+ }
+
+ // Return the resulting serialization
+ return s.join( "&" );
+};
+
+jQuery.fn.extend( {
+ serialize: function() {
+ return jQuery.param( this.serializeArray() );
+ },
+ serializeArray: function() {
+ return this.map( function() {
+
+ // Can add propHook for "elements" to filter or add form elements
+ var elements = jQuery.prop( this, "elements" );
+ return elements ? jQuery.makeArray( elements ) : this;
+ } )
+ .filter( function() {
+ var type = this.type;
+
+ // Use .is( ":disabled" ) so that fieldset[disabled] works
+ return this.name && !jQuery( this ).is( ":disabled" ) &&
+ rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
+ ( this.checked || !rcheckableType.test( type ) );
+ } )
+ .map( function( _i, elem ) {
+ var val = jQuery( this ).val();
+
+ if ( val == null ) {
+ return null;
+ }
+
+ if ( Array.isArray( val ) ) {
+ return jQuery.map( val, function( val ) {
+ return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+ } );
+ }
+
+ return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+ } ).get();
+ }
+} );
+
+
+var
+ r20 = /%20/g,
+ rhash = /#.*$/,
+ rantiCache = /([?&])_=[^&]*/,
+ rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
+
+ // #7653, #8125, #8152: local protocol detection
+ rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
+ rnoContent = /^(?:GET|HEAD)$/,
+ rprotocol = /^\/\//,
+
+ /* Prefilters
+ * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
+ * 2) These are called:
+ * - BEFORE asking for a transport
+ * - AFTER param serialization (s.data is a string if s.processData is true)
+ * 3) key is the dataType
+ * 4) the catchall symbol "*" can be used
+ * 5) execution will start with transport dataType and THEN continue down to "*" if needed
+ */
+ prefilters = {},
+
+ /* Transports bindings
+ * 1) key is the dataType
+ * 2) the catchall symbol "*" can be used
+ * 3) selection will start with transport dataType and THEN go to "*" if needed
+ */
+ transports = {},
+
+ // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
+ allTypes = "*/".concat( "*" ),
+
+ // Anchor tag for parsing the document origin
+ originAnchor = document.createElement( "a" );
+ originAnchor.href = location.href;
+
+// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
+function addToPrefiltersOrTransports( structure ) {
+
+ // dataTypeExpression is optional and defaults to "*"
+ return function( dataTypeExpression, func ) {
+
+ if ( typeof dataTypeExpression !== "string" ) {
+ func = dataTypeExpression;
+ dataTypeExpression = "*";
+ }
+
+ var dataType,
+ i = 0,
+ dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
+
+ if ( isFunction( func ) ) {
+
+ // For each dataType in the dataTypeExpression
+ while ( ( dataType = dataTypes[ i++ ] ) ) {
+
+ // Prepend if requested
+ if ( dataType[ 0 ] === "+" ) {
+ dataType = dataType.slice( 1 ) || "*";
+ ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
+
+ // Otherwise append
+ } else {
+ ( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
+ }
+ }
+ }
+ };
+}
+
+// Base inspection function for prefilters and transports
+function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
+
+ var inspected = {},
+ seekingTransport = ( structure === transports );
+
+ function inspect( dataType ) {
+ var selected;
+ inspected[ dataType ] = true;
+ jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
+ var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
+ if ( typeof dataTypeOrTransport === "string" &&
+ !seekingTransport && !inspected[ dataTypeOrTransport ] ) {
+
+ options.dataTypes.unshift( dataTypeOrTransport );
+ inspect( dataTypeOrTransport );
+ return false;
+ } else if ( seekingTransport ) {
+ return !( selected = dataTypeOrTransport );
+ }
+ } );
+ return selected;
+ }
+
+ return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
+}
+
+// A special extend for ajax options
+// that takes "flat" options (not to be deep extended)
+// Fixes #9887
+function ajaxExtend( target, src ) {
+ var key, deep,
+ flatOptions = jQuery.ajaxSettings.flatOptions || {};
+
+ for ( key in src ) {
+ if ( src[ key ] !== undefined ) {
+ ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
+ }
+ }
+ if ( deep ) {
+ jQuery.extend( true, target, deep );
+ }
+
+ return target;
+}
+
+/* Handles responses to an ajax request:
+ * - finds the right dataType (mediates between content-type and expected dataType)
+ * - returns the corresponding response
+ */
+function ajaxHandleResponses( s, jqXHR, responses ) {
+
+ var ct, type, finalDataType, firstDataType,
+ contents = s.contents,
+ dataTypes = s.dataTypes;
+
+ // Remove auto dataType and get content-type in the process
+ while ( dataTypes[ 0 ] === "*" ) {
+ dataTypes.shift();
+ if ( ct === undefined ) {
+ ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
+ }
+ }
+
+ // Check if we're dealing with a known content-type
+ if ( ct ) {
+ for ( type in contents ) {
+ if ( contents[ type ] && contents[ type ].test( ct ) ) {
+ dataTypes.unshift( type );
+ break;
+ }
+ }
+ }
+
+ // Check to see if we have a response for the expected dataType
+ if ( dataTypes[ 0 ] in responses ) {
+ finalDataType = dataTypes[ 0 ];
+ } else {
+
+ // Try convertible dataTypes
+ for ( type in responses ) {
+ if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
+ finalDataType = type;
+ break;
+ }
+ if ( !firstDataType ) {
+ firstDataType = type;
+ }
+ }
+
+ // Or just use first one
+ finalDataType = finalDataType || firstDataType;
+ }
+
+ // If we found a dataType
+ // We add the dataType to the list if needed
+ // and return the corresponding response
+ if ( finalDataType ) {
+ if ( finalDataType !== dataTypes[ 0 ] ) {
+ dataTypes.unshift( finalDataType );
+ }
+ return responses[ finalDataType ];
+ }
+}
+
+/* Chain conversions given the request and the original response
+ * Also sets the responseXXX fields on the jqXHR instance
+ */
+function ajaxConvert( s, response, jqXHR, isSuccess ) {
+ var conv2, current, conv, tmp, prev,
+ converters = {},
+
+ // Work with a copy of dataTypes in case we need to modify it for conversion
+ dataTypes = s.dataTypes.slice();
+
+ // Create converters map with lowercased keys
+ if ( dataTypes[ 1 ] ) {
+ for ( conv in s.converters ) {
+ converters[ conv.toLowerCase() ] = s.converters[ conv ];
+ }
+ }
+
+ current = dataTypes.shift();
+
+ // Convert to each sequential dataType
+ while ( current ) {
+
+ if ( s.responseFields[ current ] ) {
+ jqXHR[ s.responseFields[ current ] ] = response;
+ }
+
+ // Apply the dataFilter if provided
+ if ( !prev && isSuccess && s.dataFilter ) {
+ response = s.dataFilter( response, s.dataType );
+ }
+
+ prev = current;
+ current = dataTypes.shift();
+
+ if ( current ) {
+
+ // There's only work to do if current dataType is non-auto
+ if ( current === "*" ) {
+
+ current = prev;
+
+ // Convert response if prev dataType is non-auto and differs from current
+ } else if ( prev !== "*" && prev !== current ) {
+
+ // Seek a direct converter
+ conv = converters[ prev + " " + current ] || converters[ "* " + current ];
+
+ // If none found, seek a pair
+ if ( !conv ) {
+ for ( conv2 in converters ) {
+
+ // If conv2 outputs current
+ tmp = conv2.split( " " );
+ if ( tmp[ 1 ] === current ) {
+
+ // If prev can be converted to accepted input
+ conv = converters[ prev + " " + tmp[ 0 ] ] ||
+ converters[ "* " + tmp[ 0 ] ];
+ if ( conv ) {
+
+ // Condense equivalence converters
+ if ( conv === true ) {
+ conv = converters[ conv2 ];
+
+ // Otherwise, insert the intermediate dataType
+ } else if ( converters[ conv2 ] !== true ) {
+ current = tmp[ 0 ];
+ dataTypes.unshift( tmp[ 1 ] );
+ }
+ break;
+ }
+ }
+ }
+ }
+
+ // Apply converter (if not an equivalence)
+ if ( conv !== true ) {
+
+ // Unless errors are allowed to bubble, catch and return them
+ if ( conv && s.throws ) {
+ response = conv( response );
+ } else {
+ try {
+ response = conv( response );
+ } catch ( e ) {
+ return {
+ state: "parsererror",
+ error: conv ? e : "No conversion from " + prev + " to " + current
+ };
+ }
+ }
+ }
+ }
+ }
+ }
+
+ return { state: "success", data: response };
+}
+
+jQuery.extend( {
+
+ // Counter for holding the number of active queries
+ active: 0,
+
+ // Last-Modified header cache for next request
+ lastModified: {},
+ etag: {},
+
+ ajaxSettings: {
+ url: location.href,
+ type: "GET",
+ isLocal: rlocalProtocol.test( location.protocol ),
+ global: true,
+ processData: true,
+ async: true,
+ contentType: "application/x-www-form-urlencoded; charset=UTF-8",
+
+ /*
+ timeout: 0,
+ data: null,
+ dataType: null,
+ username: null,
+ password: null,
+ cache: null,
+ throws: false,
+ traditional: false,
+ headers: {},
+ */
+
+ accepts: {
+ "*": allTypes,
+ text: "text/plain",
+ html: "text/html",
+ xml: "application/xml, text/xml",
+ json: "application/json, text/javascript"
+ },
+
+ contents: {
+ xml: /\bxml\b/,
+ html: /\bhtml/,
+ json: /\bjson\b/
+ },
+
+ responseFields: {
+ xml: "responseXML",
+ text: "responseText",
+ json: "responseJSON"
+ },
+
+ // Data converters
+ // Keys separate source (or catchall "*") and destination types with a single space
+ converters: {
+
+ // Convert anything to text
+ "* text": String,
+
+ // Text to html (true = no transformation)
+ "text html": true,
+
+ // Evaluate text as a json expression
+ "text json": JSON.parse,
+
+ // Parse text as xml
+ "text xml": jQuery.parseXML
+ },
+
+ // For options that shouldn't be deep extended:
+ // you can add your own custom options here if
+ // and when you create one that shouldn't be
+ // deep extended (see ajaxExtend)
+ flatOptions: {
+ url: true,
+ context: true
+ }
+ },
+
+ // Creates a full fledged settings object into target
+ // with both ajaxSettings and settings fields.
+ // If target is omitted, writes into ajaxSettings.
+ ajaxSetup: function( target, settings ) {
+ return settings ?
+
+ // Building a settings object
+ ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
+
+ // Extending ajaxSettings
+ ajaxExtend( jQuery.ajaxSettings, target );
+ },
+
+ ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
+ ajaxTransport: addToPrefiltersOrTransports( transports ),
+
+ // Main method
+ ajax: function( url, options ) {
+
+ // If url is an object, simulate pre-1.5 signature
+ if ( typeof url === "object" ) {
+ options = url;
+ url = undefined;
+ }
+
+ // Force options to be an object
+ options = options || {};
+
+ var transport,
+
+ // URL without anti-cache param
+ cacheURL,
+
+ // Response headers
+ responseHeadersString,
+ responseHeaders,
+
+ // timeout handle
+ timeoutTimer,
+
+ // Url cleanup var
+ urlAnchor,
+
+ // Request state (becomes false upon send and true upon completion)
+ completed,
+
+ // To know if global events are to be dispatched
+ fireGlobals,
+
+ // Loop variable
+ i,
+
+ // uncached part of the url
+ uncached,
+
+ // Create the final options object
+ s = jQuery.ajaxSetup( {}, options ),
+
+ // Callbacks context
+ callbackContext = s.context || s,
+
+ // Context for global events is callbackContext if it is a DOM node or jQuery collection
+ globalEventContext = s.context &&
+ ( callbackContext.nodeType || callbackContext.jquery ) ?
+ jQuery( callbackContext ) :
+ jQuery.event,
+
+ // Deferreds
+ deferred = jQuery.Deferred(),
+ completeDeferred = jQuery.Callbacks( "once memory" ),
+
+ // Status-dependent callbacks
+ statusCode = s.statusCode || {},
+
+ // Headers (they are sent all at once)
+ requestHeaders = {},
+ requestHeadersNames = {},
+
+ // Default abort message
+ strAbort = "canceled",
+
+ // Fake xhr
+ jqXHR = {
+ readyState: 0,
+
+ // Builds headers hashtable if needed
+ getResponseHeader: function( key ) {
+ var match;
+ if ( completed ) {
+ if ( !responseHeaders ) {
+ responseHeaders = {};
+ while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
+ responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
+ ( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
+ .concat( match[ 2 ] );
+ }
+ }
+ match = responseHeaders[ key.toLowerCase() + " " ];
+ }
+ return match == null ? null : match.join( ", " );
+ },
+
+ // Raw string
+ getAllResponseHeaders: function() {
+ return completed ? responseHeadersString : null;
+ },
+
+ // Caches the header
+ setRequestHeader: function( name, value ) {
+ if ( completed == null ) {
+ name = requestHeadersNames[ name.toLowerCase() ] =
+ requestHeadersNames[ name.toLowerCase() ] || name;
+ requestHeaders[ name ] = value;
+ }
+ return this;
+ },
+
+ // Overrides response content-type header
+ overrideMimeType: function( type ) {
+ if ( completed == null ) {
+ s.mimeType = type;
+ }
+ return this;
+ },
+
+ // Status-dependent callbacks
+ statusCode: function( map ) {
+ var code;
+ if ( map ) {
+ if ( completed ) {
+
+ // Execute the appropriate callbacks
+ jqXHR.always( map[ jqXHR.status ] );
+ } else {
+
+ // Lazy-add the new callbacks in a way that preserves old ones
+ for ( code in map ) {
+ statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
+ }
+ }
+ }
+ return this;
+ },
+
+ // Cancel the request
+ abort: function( statusText ) {
+ var finalText = statusText || strAbort;
+ if ( transport ) {
+ transport.abort( finalText );
+ }
+ done( 0, finalText );
+ return this;
+ }
+ };
+
+ // Attach deferreds
+ deferred.promise( jqXHR );
+
+ // Add protocol if not provided (prefilters might expect it)
+ // Handle falsy url in the settings object (#10093: consistency with old signature)
+ // We also use the url parameter if available
+ s.url = ( ( url || s.url || location.href ) + "" )
+ .replace( rprotocol, location.protocol + "//" );
+
+ // Alias method option to type as per ticket #12004
+ s.type = options.method || options.type || s.method || s.type;
+
+ // Extract dataTypes list
+ s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
+
+ // A cross-domain request is in order when the origin doesn't match the current origin.
+ if ( s.crossDomain == null ) {
+ urlAnchor = document.createElement( "a" );
+
+ // Support: IE <=8 - 11, Edge 12 - 15
+ // IE throws exception on accessing the href property if url is malformed,
+ // e.g. http://example.com:80x/
+ try {
+ urlAnchor.href = s.url;
+
+ // Support: IE <=8 - 11 only
+ // Anchor's host property isn't correctly set when s.url is relative
+ urlAnchor.href = urlAnchor.href;
+ s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
+ urlAnchor.protocol + "//" + urlAnchor.host;
+ } catch ( e ) {
+
+ // If there is an error parsing the URL, assume it is crossDomain,
+ // it can be rejected by the transport if it is invalid
+ s.crossDomain = true;
+ }
+ }
+
+ // Convert data if not already a string
+ if ( s.data && s.processData && typeof s.data !== "string" ) {
+ s.data = jQuery.param( s.data, s.traditional );
+ }
+
+ // Apply prefilters
+ inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
+
+ // If request was aborted inside a prefilter, stop there
+ if ( completed ) {
+ return jqXHR;
+ }
+
+ // We can fire global events as of now if asked to
+ // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
+ fireGlobals = jQuery.event && s.global;
+
+ // Watch for a new set of requests
+ if ( fireGlobals && jQuery.active++ === 0 ) {
+ jQuery.event.trigger( "ajaxStart" );
+ }
+
+ // Uppercase the type
+ s.type = s.type.toUpperCase();
+
+ // Determine if request has content
+ s.hasContent = !rnoContent.test( s.type );
+
+ // Save the URL in case we're toying with the If-Modified-Since
+ // and/or If-None-Match header later on
+ // Remove hash to simplify url manipulation
+ cacheURL = s.url.replace( rhash, "" );
+
+ // More options handling for requests with no content
+ if ( !s.hasContent ) {
+
+ // Remember the hash so we can put it back
+ uncached = s.url.slice( cacheURL.length );
+
+ // If data is available and should be processed, append data to url
+ if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
+ cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
+
+ // #9682: remove data so that it's not used in an eventual retry
+ delete s.data;
+ }
+
+ // Add or update anti-cache param if needed
+ if ( s.cache === false ) {
+ cacheURL = cacheURL.replace( rantiCache, "$1" );
+ uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
+ uncached;
+ }
+
+ // Put hash and anti-cache on the URL that will be requested (gh-1732)
+ s.url = cacheURL + uncached;
+
+ // Change '%20' to '+' if this is encoded form body content (gh-2658)
+ } else if ( s.data && s.processData &&
+ ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
+ s.data = s.data.replace( r20, "+" );
+ }
+
+ // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+ if ( s.ifModified ) {
+ if ( jQuery.lastModified[ cacheURL ] ) {
+ jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
+ }
+ if ( jQuery.etag[ cacheURL ] ) {
+ jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
+ }
+ }
+
+ // Set the correct header, if data is being sent
+ if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
+ jqXHR.setRequestHeader( "Content-Type", s.contentType );
+ }
+
+ // Set the Accepts header for the server, depending on the dataType
+ jqXHR.setRequestHeader(
+ "Accept",
+ s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
+ s.accepts[ s.dataTypes[ 0 ] ] +
+ ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
+ s.accepts[ "*" ]
+ );
+
+ // Check for headers option
+ for ( i in s.headers ) {
+ jqXHR.setRequestHeader( i, s.headers[ i ] );
+ }
+
+ // Allow custom headers/mimetypes and early abort
+ if ( s.beforeSend &&
+ ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
+
+ // Abort if not done already and return
+ return jqXHR.abort();
+ }
+
+ // Aborting is no longer a cancellation
+ strAbort = "abort";
+
+ // Install callbacks on deferreds
+ completeDeferred.add( s.complete );
+ jqXHR.done( s.success );
+ jqXHR.fail( s.error );
+
+ // Get transport
+ transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
+
+ // If no transport, we auto-abort
+ if ( !transport ) {
+ done( -1, "No Transport" );
+ } else {
+ jqXHR.readyState = 1;
+
+ // Send global event
+ if ( fireGlobals ) {
+ globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
+ }
+
+ // If request was aborted inside ajaxSend, stop there
+ if ( completed ) {
+ return jqXHR;
+ }
+
+ // Timeout
+ if ( s.async && s.timeout > 0 ) {
+ timeoutTimer = window.setTimeout( function() {
+ jqXHR.abort( "timeout" );
+ }, s.timeout );
+ }
+
+ try {
+ completed = false;
+ transport.send( requestHeaders, done );
+ } catch ( e ) {
+
+ // Rethrow post-completion exceptions
+ if ( completed ) {
+ throw e;
+ }
+
+ // Propagate others as results
+ done( -1, e );
+ }
+ }
+
+ // Callback for when everything is done
+ function done( status, nativeStatusText, responses, headers ) {
+ var isSuccess, success, error, response, modified,
+ statusText = nativeStatusText;
+
+ // Ignore repeat invocations
+ if ( completed ) {
+ return;
+ }
+
+ completed = true;
+
+ // Clear timeout if it exists
+ if ( timeoutTimer ) {
+ window.clearTimeout( timeoutTimer );
+ }
+
+ // Dereference transport for early garbage collection
+ // (no matter how long the jqXHR object will be used)
+ transport = undefined;
+
+ // Cache response headers
+ responseHeadersString = headers || "";
+
+ // Set readyState
+ jqXHR.readyState = status > 0 ? 4 : 0;
+
+ // Determine if successful
+ isSuccess = status >= 200 && status < 300 || status === 304;
+
+ // Get response data
+ if ( responses ) {
+ response = ajaxHandleResponses( s, jqXHR, responses );
+ }
+
+ // Use a noop converter for missing script
+ if ( !isSuccess && jQuery.inArray( "script", s.dataTypes ) > -1 ) {
+ s.converters[ "text script" ] = function() {};
+ }
+
+ // Convert no matter what (that way responseXXX fields are always set)
+ response = ajaxConvert( s, response, jqXHR, isSuccess );
+
+ // If successful, handle type chaining
+ if ( isSuccess ) {
+
+ // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+ if ( s.ifModified ) {
+ modified = jqXHR.getResponseHeader( "Last-Modified" );
+ if ( modified ) {
+ jQuery.lastModified[ cacheURL ] = modified;
+ }
+ modified = jqXHR.getResponseHeader( "etag" );
+ if ( modified ) {
+ jQuery.etag[ cacheURL ] = modified;
+ }
+ }
+
+ // if no content
+ if ( status === 204 || s.type === "HEAD" ) {
+ statusText = "nocontent";
+
+ // if not modified
+ } else if ( status === 304 ) {
+ statusText = "notmodified";
+
+ // If we have data, let's convert it
+ } else {
+ statusText = response.state;
+ success = response.data;
+ error = response.error;
+ isSuccess = !error;
+ }
+ } else {
+
+ // Extract error from statusText and normalize for non-aborts
+ error = statusText;
+ if ( status || !statusText ) {
+ statusText = "error";
+ if ( status < 0 ) {
+ status = 0;
+ }
+ }
+ }
+
+ // Set data for the fake xhr object
+ jqXHR.status = status;
+ jqXHR.statusText = ( nativeStatusText || statusText ) + "";
+
+ // Success/Error
+ if ( isSuccess ) {
+ deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
+ } else {
+ deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
+ }
+
+ // Status-dependent callbacks
+ jqXHR.statusCode( statusCode );
+ statusCode = undefined;
+
+ if ( fireGlobals ) {
+ globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
+ [ jqXHR, s, isSuccess ? success : error ] );
+ }
+
+ // Complete
+ completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
+
+ if ( fireGlobals ) {
+ globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
+
+ // Handle the global AJAX counter
+ if ( !( --jQuery.active ) ) {
+ jQuery.event.trigger( "ajaxStop" );
+ }
+ }
+ }
+
+ return jqXHR;
+ },
+
+ getJSON: function( url, data, callback ) {
+ return jQuery.get( url, data, callback, "json" );
+ },
+
+ getScript: function( url, callback ) {
+ return jQuery.get( url, undefined, callback, "script" );
+ }
+} );
+
+jQuery.each( [ "get", "post" ], function( _i, method ) {
+ jQuery[ method ] = function( url, data, callback, type ) {
+
+ // Shift arguments if data argument was omitted
+ if ( isFunction( data ) ) {
+ type = type || callback;
+ callback = data;
+ data = undefined;
+ }
+
+ // The url can be an options object (which then must have .url)
+ return jQuery.ajax( jQuery.extend( {
+ url: url,
+ type: method,
+ dataType: type,
+ data: data,
+ success: callback
+ }, jQuery.isPlainObject( url ) && url ) );
+ };
+} );
+
+jQuery.ajaxPrefilter( function( s ) {
+ var i;
+ for ( i in s.headers ) {
+ if ( i.toLowerCase() === "content-type" ) {
+ s.contentType = s.headers[ i ] || "";
+ }
+ }
+} );
+
+
+jQuery._evalUrl = function( url, options, doc ) {
+ return jQuery.ajax( {
+ url: url,
+
+ // Make this explicit, since user can override this through ajaxSetup (#11264)
+ type: "GET",
+ dataType: "script",
+ cache: true,
+ async: false,
+ global: false,
+
+ // Only evaluate the response if it is successful (gh-4126)
+ // dataFilter is not invoked for failure responses, so using it instead
+ // of the default converter is kludgy but it works.
+ converters: {
+ "text script": function() {}
+ },
+ dataFilter: function( response ) {
+ jQuery.globalEval( response, options, doc );
+ }
+ } );
+};
+
+
+jQuery.fn.extend( {
+ wrapAll: function( html ) {
+ var wrap;
+
+ if ( this[ 0 ] ) {
+ if ( isFunction( html ) ) {
+ html = html.call( this[ 0 ] );
+ }
+
+ // The elements to wrap the target around
+ wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
+
+ if ( this[ 0 ].parentNode ) {
+ wrap.insertBefore( this[ 0 ] );
+ }
+
+ wrap.map( function() {
+ var elem = this;
+
+ while ( elem.firstElementChild ) {
+ elem = elem.firstElementChild;
+ }
+
+ return elem;
+ } ).append( this );
+ }
+
+ return this;
+ },
+
+ wrapInner: function( html ) {
+ if ( isFunction( html ) ) {
+ return this.each( function( i ) {
+ jQuery( this ).wrapInner( html.call( this, i ) );
+ } );
+ }
+
+ return this.each( function() {
+ var self = jQuery( this ),
+ contents = self.contents();
+
+ if ( contents.length ) {
+ contents.wrapAll( html );
+
+ } else {
+ self.append( html );
+ }
+ } );
+ },
+
+ wrap: function( html ) {
+ var htmlIsFunction = isFunction( html );
+
+ return this.each( function( i ) {
+ jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
+ } );
+ },
+
+ unwrap: function( selector ) {
+ this.parent( selector ).not( "body" ).each( function() {
+ jQuery( this ).replaceWith( this.childNodes );
+ } );
+ return this;
+ }
+} );
+
+
+jQuery.expr.pseudos.hidden = function( elem ) {
+ return !jQuery.expr.pseudos.visible( elem );
+};
+jQuery.expr.pseudos.visible = function( elem ) {
+ return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
+};
+
+
+
+
+jQuery.ajaxSettings.xhr = function() {
+ try {
+ return new window.XMLHttpRequest();
+ } catch ( e ) {}
+};
+
+var xhrSuccessStatus = {
+
+ // File protocol always yields status code 0, assume 200
+ 0: 200,
+
+ // Support: IE <=9 only
+ // #1450: sometimes IE returns 1223 when it should be 204
+ 1223: 204
+ },
+ xhrSupported = jQuery.ajaxSettings.xhr();
+
+support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
+support.ajax = xhrSupported = !!xhrSupported;
+
+jQuery.ajaxTransport( function( options ) {
+ var callback, errorCallback;
+
+ // Cross domain only allowed if supported through XMLHttpRequest
+ if ( support.cors || xhrSupported && !options.crossDomain ) {
+ return {
+ send: function( headers, complete ) {
+ var i,
+ xhr = options.xhr();
+
+ xhr.open(
+ options.type,
+ options.url,
+ options.async,
+ options.username,
+ options.password
+ );
+
+ // Apply custom fields if provided
+ if ( options.xhrFields ) {
+ for ( i in options.xhrFields ) {
+ xhr[ i ] = options.xhrFields[ i ];
+ }
+ }
+
+ // Override mime type if needed
+ if ( options.mimeType && xhr.overrideMimeType ) {
+ xhr.overrideMimeType( options.mimeType );
+ }
+
+ // X-Requested-With header
+ // For cross-domain requests, seeing as conditions for a preflight are
+ // akin to a jigsaw puzzle, we simply never set it to be sure.
+ // (it can always be set on a per-request basis or even using ajaxSetup)
+ // For same-domain requests, won't change header if already provided.
+ if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
+ headers[ "X-Requested-With" ] = "XMLHttpRequest";
+ }
+
+ // Set headers
+ for ( i in headers ) {
+ xhr.setRequestHeader( i, headers[ i ] );
+ }
+
+ // Callback
+ callback = function( type ) {
+ return function() {
+ if ( callback ) {
+ callback = errorCallback = xhr.onload =
+ xhr.onerror = xhr.onabort = xhr.ontimeout =
+ xhr.onreadystatechange = null;
+
+ if ( type === "abort" ) {
+ xhr.abort();
+ } else if ( type === "error" ) {
+
+ // Support: IE <=9 only
+ // On a manual native abort, IE9 throws
+ // errors on any property access that is not readyState
+ if ( typeof xhr.status !== "number" ) {
+ complete( 0, "error" );
+ } else {
+ complete(
+
+ // File: protocol always yields status 0; see #8605, #14207
+ xhr.status,
+ xhr.statusText
+ );
+ }
+ } else {
+ complete(
+ xhrSuccessStatus[ xhr.status ] || xhr.status,
+ xhr.statusText,
+
+ // Support: IE <=9 only
+ // IE9 has no XHR2 but throws on binary (trac-11426)
+ // For XHR2 non-text, let the caller handle it (gh-2498)
+ ( xhr.responseType || "text" ) !== "text" ||
+ typeof xhr.responseText !== "string" ?
+ { binary: xhr.response } :
+ { text: xhr.responseText },
+ xhr.getAllResponseHeaders()
+ );
+ }
+ }
+ };
+ };
+
+ // Listen to events
+ xhr.onload = callback();
+ errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
+
+ // Support: IE 9 only
+ // Use onreadystatechange to replace onabort
+ // to handle uncaught aborts
+ if ( xhr.onabort !== undefined ) {
+ xhr.onabort = errorCallback;
+ } else {
+ xhr.onreadystatechange = function() {
+
+ // Check readyState before timeout as it changes
+ if ( xhr.readyState === 4 ) {
+
+ // Allow onerror to be called first,
+ // but that will not handle a native abort
+ // Also, save errorCallback to a variable
+ // as xhr.onerror cannot be accessed
+ window.setTimeout( function() {
+ if ( callback ) {
+ errorCallback();
+ }
+ } );
+ }
+ };
+ }
+
+ // Create the abort callback
+ callback = callback( "abort" );
+
+ try {
+
+ // Do send the request (this may raise an exception)
+ xhr.send( options.hasContent && options.data || null );
+ } catch ( e ) {
+
+ // #14683: Only rethrow if this hasn't been notified as an error yet
+ if ( callback ) {
+ throw e;
+ }
+ }
+ },
+
+ abort: function() {
+ if ( callback ) {
+ callback();
+ }
+ }
+ };
+ }
+} );
+
+
+
+
+// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
+jQuery.ajaxPrefilter( function( s ) {
+ if ( s.crossDomain ) {
+ s.contents.script = false;
+ }
+} );
+
+// Install script dataType
+jQuery.ajaxSetup( {
+ accepts: {
+ script: "text/javascript, application/javascript, " +
+ "application/ecmascript, application/x-ecmascript"
+ },
+ contents: {
+ script: /\b(?:java|ecma)script\b/
+ },
+ converters: {
+ "text script": function( text ) {
+ jQuery.globalEval( text );
+ return text;
+ }
+ }
+} );
+
+// Handle cache's special case and crossDomain
+jQuery.ajaxPrefilter( "script", function( s ) {
+ if ( s.cache === undefined ) {
+ s.cache = false;
+ }
+ if ( s.crossDomain ) {
+ s.type = "GET";
+ }
+} );
+
+// Bind script tag hack transport
+jQuery.ajaxTransport( "script", function( s ) {
+
+ // This transport only deals with cross domain or forced-by-attrs requests
+ if ( s.crossDomain || s.scriptAttrs ) {
+ var script, callback;
+ return {
+ send: function( _, complete ) {
+ script = jQuery( "<script>" )
+ .attr( s.scriptAttrs || {} )
+ .prop( { charset: s.scriptCharset, src: s.url } )
+ .on( "load error", callback = function( evt ) {
+ script.remove();
+ callback = null;
+ if ( evt ) {
+ complete( evt.type === "error" ? 404 : 200, evt.type );
+ }
+ } );
+
+ // Use native DOM manipulation to avoid our domManip AJAX trickery
+ document.head.appendChild( script[ 0 ] );
+ },
+ abort: function() {
+ if ( callback ) {
+ callback();
+ }
+ }
+ };
+ }
+} );
+
+
+
+
+var oldCallbacks = [],
+ rjsonp = /(=)\?(?=&|$)|\?\?/;
+
+// Default jsonp settings
+jQuery.ajaxSetup( {
+ jsonp: "callback",
+ jsonpCallback: function() {
+ var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
+ this[ callback ] = true;
+ return callback;
+ }
+} );
+
+// Detect, normalize options and install callbacks for jsonp requests
+jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
+
+ var callbackName, overwritten, responseContainer,
+ jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
+ "url" :
+ typeof s.data === "string" &&
+ ( s.contentType || "" )
+ .indexOf( "application/x-www-form-urlencoded" ) === 0 &&
+ rjsonp.test( s.data ) && "data"
+ );
+
+ // Handle iff the expected data type is "jsonp" or we have a parameter to set
+ if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
+
+ // Get callback name, remembering preexisting value associated with it
+ callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
+ s.jsonpCallback() :
+ s.jsonpCallback;
+
+ // Insert callback into url or form data
+ if ( jsonProp ) {
+ s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
+ } else if ( s.jsonp !== false ) {
+ s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
+ }
+
+ // Use data converter to retrieve json after script execution
+ s.converters[ "script json" ] = function() {
+ if ( !responseContainer ) {
+ jQuery.error( callbackName + " was not called" );
+ }
+ return responseContainer[ 0 ];
+ };
+
+ // Force json dataType
+ s.dataTypes[ 0 ] = "json";
+
+ // Install callback
+ overwritten = window[ callbackName ];
+ window[ callbackName ] = function() {
+ responseContainer = arguments;
+ };
+
+ // Clean-up function (fires after converters)
+ jqXHR.always( function() {
+
+ // If previous value didn't exist - remove it
+ if ( overwritten === undefined ) {
+ jQuery( window ).removeProp( callbackName );
+
+ // Otherwise restore preexisting value
+ } else {
+ window[ callbackName ] = overwritten;
+ }
+
+ // Save back as free
+ if ( s[ callbackName ] ) {
+
+ // Make sure that re-using the options doesn't screw things around
+ s.jsonpCallback = originalSettings.jsonpCallback;
+
+ // Save the callback name for future use
+ oldCallbacks.push( callbackName );
+ }
+
+ // Call if it was a function and we have a response
+ if ( responseContainer && isFunction( overwritten ) ) {
+ overwritten( responseContainer[ 0 ] );
+ }
+
+ responseContainer = overwritten = undefined;
+ } );
+
+ // Delegate to script
+ return "script";
+ }
+} );
+
+
+
+
+// Support: Safari 8 only
+// In Safari 8 documents created via document.implementation.createHTMLDocument
+// collapse sibling forms: the second one becomes a child of the first one.
+// Because of that, this security measure has to be disabled in Safari 8.
+// https://bugs.webkit.org/show_bug.cgi?id=137337
+support.createHTMLDocument = ( function() {
+ var body = document.implementation.createHTMLDocument( "" ).body;
+ body.innerHTML = "<form></form><form></form>";
+ return body.childNodes.length === 2;
+} )();
+
+
+// Argument "data" should be string of html
+// context (optional): If specified, the fragment will be created in this context,
+// defaults to document
+// keepScripts (optional): If true, will include scripts passed in the html string
+jQuery.parseHTML = function( data, context, keepScripts ) {
+ if ( typeof data !== "string" ) {
+ return [];
+ }
+ if ( typeof context === "boolean" ) {
+ keepScripts = context;
+ context = false;
+ }
+
+ var base, parsed, scripts;
+
+ if ( !context ) {
+
+ // Stop scripts or inline event handlers from being executed immediately
+ // by using document.implementation
+ if ( support.createHTMLDocument ) {
+ context = document.implementation.createHTMLDocument( "" );
+
+ // Set the base href for the created document
+ // so any parsed elements with URLs
+ // are based on the document's URL (gh-2965)
+ base = context.createElement( "base" );
+ base.href = document.location.href;
+ context.head.appendChild( base );
+ } else {
+ context = document;
+ }
+ }
+
+ parsed = rsingleTag.exec( data );
+ scripts = !keepScripts && [];
+
+ // Single tag
+ if ( parsed ) {
+ return [ context.createElement( parsed[ 1 ] ) ];
+ }
+
+ parsed = buildFragment( [ data ], context, scripts );
+
+ if ( scripts && scripts.length ) {
+ jQuery( scripts ).remove();
+ }
+
+ return jQuery.merge( [], parsed.childNodes );
+};
+
+
+/**
+ * Load a url into a page
+ */
+jQuery.fn.load = function( url, params, callback ) {
+ var selector, type, response,
+ self = this,
+ off = url.indexOf( " " );
+
+ if ( off > -1 ) {
+ selector = stripAndCollapse( url.slice( off ) );
+ url = url.slice( 0, off );
+ }
+
+ // If it's a function
+ if ( isFunction( params ) ) {
+
+ // We assume that it's the callback
+ callback = params;
+ params = undefined;
+
+ // Otherwise, build a param string
+ } else if ( params && typeof params === "object" ) {
+ type = "POST";
+ }
+
+ // If we have elements to modify, make the request
+ if ( self.length > 0 ) {
+ jQuery.ajax( {
+ url: url,
+
+ // If "type" variable is undefined, then "GET" method will be used.
+ // Make value of this field explicit since
+ // user can override it through ajaxSetup method
+ type: type || "GET",
+ dataType: "html",
+ data: params
+ } ).done( function( responseText ) {
+
+ // Save response for use in complete callback
+ response = arguments;
+
+ self.html( selector ?
+
+ // If a selector was specified, locate the right elements in a dummy div
+ // Exclude scripts to avoid IE 'Permission Denied' errors
+ jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
+
+ // Otherwise use the full result
+ responseText );
+
+ // If the request succeeds, this function gets "data", "status", "jqXHR"
+ // but they are ignored because response was set above.
+ // If it fails, this function gets "jqXHR", "status", "error"
+ } ).always( callback && function( jqXHR, status ) {
+ self.each( function() {
+ callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
+ } );
+ } );
+ }
+
+ return this;
+};
+
+
+
+
+jQuery.expr.pseudos.animated = function( elem ) {
+ return jQuery.grep( jQuery.timers, function( fn ) {
+ return elem === fn.elem;
+ } ).length;
+};
+
+
+
+
+jQuery.offset = {
+ setOffset: function( elem, options, i ) {
+ var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
+ position = jQuery.css( elem, "position" ),
+ curElem = jQuery( elem ),
+ props = {};
+
+ // Set position first, in-case top/left are set even on static elem
+ if ( position === "static" ) {
+ elem.style.position = "relative";
+ }
+
+ curOffset = curElem.offset();
+ curCSSTop = jQuery.css( elem, "top" );
+ curCSSLeft = jQuery.css( elem, "left" );
+ calculatePosition = ( position === "absolute" || position === "fixed" ) &&
+ ( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
+
+ // Need to be able to calculate position if either
+ // top or left is auto and position is either absolute or fixed
+ if ( calculatePosition ) {
+ curPosition = curElem.position();
+ curTop = curPosition.top;
+ curLeft = curPosition.left;
+
+ } else {
+ curTop = parseFloat( curCSSTop ) || 0;
+ curLeft = parseFloat( curCSSLeft ) || 0;
+ }
+
+ if ( isFunction( options ) ) {
+
+ // Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
+ options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
+ }
+
+ if ( options.top != null ) {
+ props.top = ( options.top - curOffset.top ) + curTop;
+ }
+ if ( options.left != null ) {
+ props.left = ( options.left - curOffset.left ) + curLeft;
+ }
+
+ if ( "using" in options ) {
+ options.using.call( elem, props );
+
+ } else {
+ if ( typeof props.top === "number" ) {
+ props.top += "px";
+ }
+ if ( typeof props.left === "number" ) {
+ props.left += "px";
+ }
+ curElem.css( props );
+ }
+ }
+};
+
+jQuery.fn.extend( {
+
+ // offset() relates an element's border box to the document origin
+ offset: function( options ) {
+
+ // Preserve chaining for setter
+ if ( arguments.length ) {
+ return options === undefined ?
+ this :
+ this.each( function( i ) {
+ jQuery.offset.setOffset( this, options, i );
+ } );
+ }
+
+ var rect, win,
+ elem = this[ 0 ];
+
+ if ( !elem ) {
+ return;
+ }
+
+ // Return zeros for disconnected and hidden (display: none) elements (gh-2310)
+ // Support: IE <=11 only
+ // Running getBoundingClientRect on a
+ // disconnected node in IE throws an error
+ if ( !elem.getClientRects().length ) {
+ return { top: 0, left: 0 };
+ }
+
+ // Get document-relative position by adding viewport scroll to viewport-relative gBCR
+ rect = elem.getBoundingClientRect();
+ win = elem.ownerDocument.defaultView;
+ return {
+ top: rect.top + win.pageYOffset,
+ left: rect.left + win.pageXOffset
+ };
+ },
+
+ // position() relates an element's margin box to its offset parent's padding box
+ // This corresponds to the behavior of CSS absolute positioning
+ position: function() {
+ if ( !this[ 0 ] ) {
+ return;
+ }
+
+ var offsetParent, offset, doc,
+ elem = this[ 0 ],
+ parentOffset = { top: 0, left: 0 };
+
+ // position:fixed elements are offset from the viewport, which itself always has zero offset
+ if ( jQuery.css( elem, "position" ) === "fixed" ) {
+
+ // Assume position:fixed implies availability of getBoundingClientRect
+ offset = elem.getBoundingClientRect();
+
+ } else {
+ offset = this.offset();
+
+ // Account for the *real* offset parent, which can be the document or its root element
+ // when a statically positioned element is identified
+ doc = elem.ownerDocument;
+ offsetParent = elem.offsetParent || doc.documentElement;
+ while ( offsetParent &&
+ ( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
+ jQuery.css( offsetParent, "position" ) === "static" ) {
+
+ offsetParent = offsetParent.parentNode;
+ }
+ if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
+
+ // Incorporate borders into its offset, since they are outside its content origin
+ parentOffset = jQuery( offsetParent ).offset();
+ parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
+ parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
+ }
+ }
+
+ // Subtract parent offsets and element margins
+ return {
+ top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
+ left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
+ };
+ },
+
+ // This method will return documentElement in the following cases:
+ // 1) For the element inside the iframe without offsetParent, this method will return
+ // documentElement of the parent window
+ // 2) For the hidden or detached element
+ // 3) For body or html element, i.e. in case of the html node - it will return itself
+ //
+ // but those exceptions were never presented as a real life use-cases
+ // and might be considered as more preferable results.
+ //
+ // This logic, however, is not guaranteed and can change at any point in the future
+ offsetParent: function() {
+ return this.map( function() {
+ var offsetParent = this.offsetParent;
+
+ while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
+ offsetParent = offsetParent.offsetParent;
+ }
+
+ return offsetParent || documentElement;
+ } );
+ }
+} );
+
+// Create scrollLeft and scrollTop methods
+jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
+ var top = "pageYOffset" === prop;
+
+ jQuery.fn[ method ] = function( val ) {
+ return access( this, function( elem, method, val ) {
+
+ // Coalesce documents and windows
+ var win;
+ if ( isWindow( elem ) ) {
+ win = elem;
+ } else if ( elem.nodeType === 9 ) {
+ win = elem.defaultView;
+ }
+
+ if ( val === undefined ) {
+ return win ? win[ prop ] : elem[ method ];
+ }
+
+ if ( win ) {
+ win.scrollTo(
+ !top ? val : win.pageXOffset,
+ top ? val : win.pageYOffset
+ );
+
+ } else {
+ elem[ method ] = val;
+ }
+ }, method, val, arguments.length );
+ };
+} );
+
+// Support: Safari <=7 - 9.1, Chrome <=37 - 49
+// Add the top/left cssHooks using jQuery.fn.position
+// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
+// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
+// getComputedStyle returns percent when specified for top/left/bottom/right;
+// rather than make the css module depend on the offset module, just check for it here
+jQuery.each( [ "top", "left" ], function( _i, prop ) {
+ jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
+ function( elem, computed ) {
+ if ( computed ) {
+ computed = curCSS( elem, prop );
+
+ // If curCSS returns percentage, fallback to offset
+ return rnumnonpx.test( computed ) ?
+ jQuery( elem ).position()[ prop ] + "px" :
+ computed;
+ }
+ }
+ );
+} );
+
+
+// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
+jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
+ jQuery.each( { padding: "inner" + name, content: type, "": "outer" + name },
+ function( defaultExtra, funcName ) {
+
+ // Margin is only for outerHeight, outerWidth
+ jQuery.fn[ funcName ] = function( margin, value ) {
+ var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
+ extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
+
+ return access( this, function( elem, type, value ) {
+ var doc;
+
+ if ( isWindow( elem ) ) {
+
+ // $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
+ return funcName.indexOf( "outer" ) === 0 ?
+ elem[ "inner" + name ] :
+ elem.document.documentElement[ "client" + name ];
+ }
+
+ // Get document width or height
+ if ( elem.nodeType === 9 ) {
+ doc = elem.documentElement;
+
+ // Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
+ // whichever is greatest
+ return Math.max(
+ elem.body[ "scroll" + name ], doc[ "scroll" + name ],
+ elem.body[ "offset" + name ], doc[ "offset" + name ],
+ doc[ "client" + name ]
+ );
+ }
+
+ return value === undefined ?
+
+ // Get width or height on the element, requesting but not forcing parseFloat
+ jQuery.css( elem, type, extra ) :
+
+ // Set width or height on the element
+ jQuery.style( elem, type, value, extra );
+ }, type, chainable ? margin : undefined, chainable );
+ };
+ } );
+} );
+
+
+jQuery.each( [
+ "ajaxStart",
+ "ajaxStop",
+ "ajaxComplete",
+ "ajaxError",
+ "ajaxSuccess",
+ "ajaxSend"
+], function( _i, type ) {
+ jQuery.fn[ type ] = function( fn ) {
+ return this.on( type, fn );
+ };
+} );
+
+
+
+
+jQuery.fn.extend( {
+
+ bind: function( types, data, fn ) {
+ return this.on( types, null, data, fn );
+ },
+ unbind: function( types, fn ) {
+ return this.off( types, null, fn );
+ },
+
+ delegate: function( selector, types, data, fn ) {
+ return this.on( types, selector, data, fn );
+ },
+ undelegate: function( selector, types, fn ) {
+
+ // ( namespace ) or ( selector, types [, fn] )
+ return arguments.length === 1 ?
+ this.off( selector, "**" ) :
+ this.off( types, selector || "**", fn );
+ },
+
+ hover: function( fnOver, fnOut ) {
+ return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
+ }
+} );
+
+jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " +
+ "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
+ "change select submit keydown keypress keyup contextmenu" ).split( " " ),
+ function( _i, name ) {
+
+ // Handle event binding
+ jQuery.fn[ name ] = function( data, fn ) {
+ return arguments.length > 0 ?
+ this.on( name, null, data, fn ) :
+ this.trigger( name );
+ };
+ } );
+
+
+
+
+// Support: Android <=4.0 only
+// Make sure we trim BOM and NBSP
+var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
+
+// Bind a function to a context, optionally partially applying any
+// arguments.
+// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
+// However, it is not slated for removal any time soon
+jQuery.proxy = function( fn, context ) {
+ var tmp, args, proxy;
+
+ if ( typeof context === "string" ) {
+ tmp = fn[ context ];
+ context = fn;
+ fn = tmp;
+ }
+
+ // Quick check to determine if target is callable, in the spec
+ // this throws a TypeError, but we will just return undefined.
+ if ( !isFunction( fn ) ) {
+ return undefined;
+ }
+
+ // Simulated bind
+ args = slice.call( arguments, 2 );
+ proxy = function() {
+ return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
+ };
+
+ // Set the guid of unique handler to the same of original handler, so it can be removed
+ proxy.guid = fn.guid = fn.guid || jQuery.guid++;
+
+ return proxy;
+};
+
+jQuery.holdReady = function( hold ) {
+ if ( hold ) {
+ jQuery.readyWait++;
+ } else {
+ jQuery.ready( true );
+ }
+};
+jQuery.isArray = Array.isArray;
+jQuery.parseJSON = JSON.parse;
+jQuery.nodeName = nodeName;
+jQuery.isFunction = isFunction;
+jQuery.isWindow = isWindow;
+jQuery.camelCase = camelCase;
+jQuery.type = toType;
+
+jQuery.now = Date.now;
+
+jQuery.isNumeric = function( obj ) {
+
+ // As of jQuery 3.0, isNumeric is limited to
+ // strings and numbers (primitives or objects)
+ // that can be coerced to finite numbers (gh-2662)
+ var type = jQuery.type( obj );
+ return ( type === "number" || type === "string" ) &&
+
+ // parseFloat NaNs numeric-cast false positives ("")
+ // ...but misinterprets leading-number strings, particularly hex literals ("0x...")
+ // subtraction forces infinities to NaN
+ !isNaN( obj - parseFloat( obj ) );
+};
+
+jQuery.trim = function( text ) {
+ return text == null ?
+ "" :
+ ( text + "" ).replace( rtrim, "" );
+};
+
+
+
+// Register as a named AMD module, since jQuery can be concatenated with other
+// files that may use define, but not via a proper concatenation script that
+// understands anonymous AMD modules. A named AMD is safest and most robust
+// way to register. Lowercase jquery is used because AMD module names are
+// derived from file names, and jQuery is normally delivered in a lowercase
+// file name. Do this after creating the global so that if an AMD module wants
+// to call noConflict to hide this version of jQuery, it will work.
+
+// Note that for maximum portability, libraries that are not jQuery should
+// declare themselves as anonymous modules, and avoid setting a global if an
+// AMD loader is present. jQuery is a special case. For more information, see
+// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
+
+if ( typeof define === "function" && define.amd ) {
+ define( "jquery", [], function() {
+ return jQuery;
+ } );
+}
+
+
+
+
+var
+
+ // Map over jQuery in case of overwrite
+ _jQuery = window.jQuery,
+
+ // Map over the $ in case of overwrite
+ _$ = window.$;
+
+jQuery.noConflict = function( deep ) {
+ if ( window.$ === jQuery ) {
+ window.$ = _$;
+ }
+
+ if ( deep && window.jQuery === jQuery ) {
+ window.jQuery = _jQuery;
+ }
+
+ return jQuery;
+};
+
+// Expose jQuery and $ identifiers, even in AMD
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
+if ( typeof noGlobal === "undefined" ) {
+ window.jQuery = window.$ = jQuery;
+}
+
+
+
+
+return jQuery;
+} );
diff --git a/docs/build/html/_static/jquery.js b/docs/build/html/_static/jquery.js
new file mode 100644
index 0000000000000000000000000000000000000000..b0614034ad3a95e4ae9f53c2b015eeb3e8d68bde
--- /dev/null
+++ b/docs/build/html/_static/jquery.js
@@ -0,0 +1,2 @@
+/*! jQuery v3.5.1 | (c) JS Foundation and other contributors | jquery.org/license */
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--- /dev/null
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+!function(n){var e={};function t(i){if(e[i])return e[i].exports;var o=e[i]={i:i,l:!1,exports:{}};return n[i].call(o.exports,o,o.exports,t),o.l=!0,o.exports}t.m=n,t.c=e,t.d=function(n,e,i){t.o(n,e)||Object.defineProperty(n,e,{enumerable:!0,get:i})},t.r=function(n){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(n,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(n,"__esModule",{value:!0})},t.t=function(n,e){if(1&e&&(n=t(n)),8&e)return n;if(4&e&&"object"==typeof n&&n&&n.__esModule)return n;var i=Object.create(null);if(t.r(i),Object.defineProperty(i,"default",{enumerable:!0,value:n}),2&e&&"string"!=typeof n)for(var o in n)t.d(i,o,function(e){return n[e]}.bind(null,o));return i},t.n=function(n){var e=n&&n.__esModule?function(){return n.default}:function(){return n};return t.d(e,"a",e),e},t.o=function(n,e){return Object.prototype.hasOwnProperty.call(n,e)},t.p="",t(t.s=0)}([function(n,e,t){t(1),n.exports=t(3)},function(n,e,t){(function(){var e="undefined"!=typeof window?window.jQuery:t(2);n.exports.ThemeNav={navBar:null,win:null,winScroll:!1,winResize:!1,linkScroll:!1,winPosition:0,winHeight:null,docHeight:null,isRunning:!1,enable:function(n){var t=this;void 0===n&&(n=!0),t.isRunning||(t.isRunning=!0,e((function(e){t.init(e),t.reset(),t.win.on("hashchange",t.reset),n&&t.win.on("scroll",(function(){t.linkScroll||t.winScroll||(t.winScroll=!0,requestAnimationFrame((function(){t.onScroll()})))})),t.win.on("resize",(function(){t.winResize||(t.winResize=!0,requestAnimationFrame((function(){t.onResize()})))})),t.onResize()})))},enableSticky:function(){this.enable(!0)},init:function(n){n(document);var e=this;this.navBar=n("div.wy-side-scroll:first"),this.win=n(window),n(document).on("click","[data-toggle='wy-nav-top']",(function(){n("[data-toggle='wy-nav-shift']").toggleClass("shift"),n("[data-toggle='rst-versions']").toggleClass("shift")})).on("click",".wy-menu-vertical .current ul li a",(function(){var t=n(this);n("[data-toggle='wy-nav-shift']").removeClass("shift"),n("[data-toggle='rst-versions']").toggleClass("shift"),e.toggleCurrent(t),e.hashChange()})).on("click","[data-toggle='rst-current-version']",(function(){n("[data-toggle='rst-versions']").toggleClass("shift-up")})),n("table.docutils:not(.field-list,.footnote,.citation)").wrap("<div class='wy-table-responsive'></div>"),n("table.docutils.footnote").wrap("<div class='wy-table-responsive footnote'></div>"),n("table.docutils.citation").wrap("<div class='wy-table-responsive citation'></div>"),n(".wy-menu-vertical ul").not(".simple").siblings("a").each((function(){var t=n(this);expand=n('<span class="toctree-expand"></span>'),expand.on("click",(function(n){return e.toggleCurrent(t),n.stopPropagation(),!1})),t.prepend(expand)}))},reset:function(){var n=encodeURI(window.location.hash)||"#";try{var e=$(".wy-menu-vertical"),t=e.find('[href="'+n+'"]');if(0===t.length){var i=$('.document [id="'+n.substring(1)+'"]').closest("div.section");0===(t=e.find('[href="#'+i.attr("id")+'"]')).length&&(t=e.find('[href="#"]'))}t.length>0&&($(".wy-menu-vertical .current").removeClass("current"),t.addClass("current"),t.closest("li.toctree-l1").addClass("current"),t.closest("li.toctree-l1").parent().addClass("current"),t.closest("li.toctree-l1").addClass("current"),t.closest("li.toctree-l2").addClass("current"),t.closest("li.toctree-l3").addClass("current"),t.closest("li.toctree-l4").addClass("current"),t.closest("li.toctree-l5").addClass("current"),t[0].scrollIntoView())}catch(n){console.log("Error expanding nav for anchor",n)}},onScroll:function(){this.winScroll=!1;var n=this.win.scrollTop(),e=n+this.winHeight,t=this.navBar.scrollTop()+(n-this.winPosition);n<0||e>this.docHeight||(this.navBar.scrollTop(t),this.winPosition=n)},onResize:function(){this.winResize=!1,this.winHeight=this.win.height(),this.docHeight=$(document).height()},hashChange:function(){this.linkScroll=!0,this.win.one("hashchange",(function(){this.linkScroll=!1}))},toggleCurrent:function(n){var e=n.closest("li");e.siblings("li.current").removeClass("current"),e.siblings().find("li.current").removeClass("current"),e.find("> ul li.current").removeClass("current"),e.toggleClass("current")}},"undefined"!=typeof window&&(window.SphinxRtdTheme={Navigation:n.exports.ThemeNav,StickyNav:n.exports.ThemeNav}),function(){for(var n=0,e=["ms","moz","webkit","o"],t=0;t<e.length&&!window.requestAnimationFrame;++t)window.requestAnimationFrame=window[e[t]+"RequestAnimationFrame"],window.cancelAnimationFrame=window[e[t]+"CancelAnimationFrame"]||window[e[t]+"CancelRequestAnimationFrame"];window.requestAnimationFrame||(window.requestAnimationFrame=function(e,t){var i=(new Date).getTime(),o=Math.max(0,16-(i-n)),r=window.setTimeout((function(){e(i+o)}),o);return n=i+o,r}),window.cancelAnimationFrame||(window.cancelAnimationFrame=function(n){clearTimeout(n)})}()}).call(window)},function(n,e){n.exports=jQuery},function(n,e,t){}]);
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diff --git a/docs/build/html/_static/language_data.js b/docs/build/html/_static/language_data.js
new file mode 100644
index 0000000000000000000000000000000000000000..d2b4ee91b0da7308cf5693804779c7b18c26252a
--- /dev/null
+++ b/docs/build/html/_static/language_data.js
@@ -0,0 +1,297 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2020 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
+
+
+/* Non-minified version JS is _stemmer.js if file is provided */
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+ var step2list = {
+ ational: 'ate',
+ tional: 'tion',
+ enci: 'ence',
+ anci: 'ance',
+ izer: 'ize',
+ bli: 'ble',
+ alli: 'al',
+ entli: 'ent',
+ eli: 'e',
+ ousli: 'ous',
+ ization: 'ize',
+ ation: 'ate',
+ ator: 'ate',
+ alism: 'al',
+ iveness: 'ive',
+ fulness: 'ful',
+ ousness: 'ous',
+ aliti: 'al',
+ iviti: 'ive',
+ biliti: 'ble',
+ logi: 'log'
+ };
+
+ var step3list = {
+ icate: 'ic',
+ ative: '',
+ alize: 'al',
+ iciti: 'ic',
+ ical: 'ic',
+ ful: '',
+ ness: ''
+ };
+
+ var c = "[^aeiou]"; // consonant
+ var v = "[aeiouy]"; // vowel
+ var C = c + "[^aeiouy]*"; // consonant sequence
+ var V = v + "[aeiou]*"; // vowel sequence
+
+ var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0
+ var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1
+ var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1
+ var s_v = "^(" + C + ")?" + v; // vowel in stem
+
+ this.stemWord = function (w) {
+ var stem;
+ var suffix;
+ var firstch;
+ var origword = w;
+
+ if (w.length < 3)
+ return w;
+
+ var re;
+ var re2;
+ var re3;
+ var re4;
+
+ firstch = w.substr(0,1);
+ if (firstch == "y")
+ w = firstch.toUpperCase() + w.substr(1);
+
+ // Step 1a
+ re = /^(.+?)(ss|i)es$/;
+ re2 = /^(.+?)([^s])s$/;
+
+ if (re.test(w))
+ w = w.replace(re,"$1$2");
+ else if (re2.test(w))
+ w = w.replace(re2,"$1$2");
+
+ // Step 1b
+ re = /^(.+?)eed$/;
+ re2 = /^(.+?)(ed|ing)$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ re = new RegExp(mgr0);
+ if (re.test(fp[1])) {
+ re = /.$/;
+ w = w.replace(re,"");
+ }
+ }
+ else if (re2.test(w)) {
+ var fp = re2.exec(w);
+ stem = fp[1];
+ re2 = new RegExp(s_v);
+ if (re2.test(stem)) {
+ w = stem;
+ re2 = /(at|bl|iz)$/;
+ re3 = new RegExp("([^aeiouylsz])\\1$");
+ re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+ if (re2.test(w))
+ w = w + "e";
+ else if (re3.test(w)) {
+ re = /.$/;
+ w = w.replace(re,"");
+ }
+ else if (re4.test(w))
+ w = w + "e";
+ }
+ }
+
+ // Step 1c
+ re = /^(.+?)y$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ re = new RegExp(s_v);
+ if (re.test(stem))
+ w = stem + "i";
+ }
+
+ // Step 2
+ re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ suffix = fp[2];
+ re = new RegExp(mgr0);
+ if (re.test(stem))
+ w = stem + step2list[suffix];
+ }
+
+ // Step 3
+ re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ suffix = fp[2];
+ re = new RegExp(mgr0);
+ if (re.test(stem))
+ w = stem + step3list[suffix];
+ }
+
+ // Step 4
+ re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+ re2 = /^(.+?)(s|t)(ion)$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ re = new RegExp(mgr1);
+ if (re.test(stem))
+ w = stem;
+ }
+ else if (re2.test(w)) {
+ var fp = re2.exec(w);
+ stem = fp[1] + fp[2];
+ re2 = new RegExp(mgr1);
+ if (re2.test(stem))
+ w = stem;
+ }
+
+ // Step 5
+ re = /^(.+?)e$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ re = new RegExp(mgr1);
+ re2 = new RegExp(meq1);
+ re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+ if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+ w = stem;
+ }
+ re = /ll$/;
+ re2 = new RegExp(mgr1);
+ if (re.test(w) && re2.test(w)) {
+ re = /.$/;
+ w = w.replace(re,"");
+ }
+
+ // and turn initial Y back to y
+ if (firstch == "y")
+ w = firstch.toLowerCase() + w.substr(1);
+ return w;
+ }
+}
+
+
+
+
+
+var splitChars = (function() {
+ var result = {};
+ var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
+ 1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
+ 2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
+ 2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
+ 3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
+ 3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
+ 4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
+ 8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
+ 11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
+ 43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
+ var i, j, start, end;
+ for (i = 0; i < singles.length; i++) {
+ result[singles[i]] = true;
+ }
+ var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
+ [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
+ [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
+ [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
+ [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
+ [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
+ [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
+ [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
+ [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
+ [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
+ [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
+ [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
+ [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
+ [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
+ [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
+ [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
+ [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
+ [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
+ [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
+ [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
+ [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
+ [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
+ [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
+ [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
+ [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
+ [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
+ [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
+ [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
+ [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
+ [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
+ [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
+ [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
+ [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
+ [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
+ [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
+ [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
+ [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
+ [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
+ [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
+ [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
+ [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
+ [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
+ [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
+ [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
+ [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
+ [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274],
+ [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007],
+ [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381],
+ [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]];
+ for (i = 0; i < ranges.length; i++) {
+ start = ranges[i][0];
+ end = ranges[i][1];
+ for (j = start; j <= end; j++) {
+ result[j] = true;
+ }
+ }
+ return result;
+})();
+
+function splitQuery(query) {
+ var result = [];
+ var start = -1;
+ for (var i = 0; i < query.length; i++) {
+ if (splitChars[query.charCodeAt(i)]) {
+ if (start !== -1) {
+ result.push(query.slice(start, i));
+ start = -1;
+ }
+ } else if (start === -1) {
+ start = i;
+ }
+ }
+ if (start !== -1) {
+ result.push(query.slice(start));
+ }
+ return result;
+}
+
+
diff --git a/docs/build/html/_static/minus.png b/docs/build/html/_static/minus.png
new file mode 100644
index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d
Binary files /dev/null and b/docs/build/html/_static/minus.png differ
diff --git a/docs/build/html/_static/plus.png b/docs/build/html/_static/plus.png
new file mode 100644
index 0000000000000000000000000000000000000000..7107cec93a979b9a5f64843235a16651d563ce2d
Binary files /dev/null and b/docs/build/html/_static/plus.png differ
diff --git a/docs/build/html/_static/pygments.css b/docs/build/html/_static/pygments.css
new file mode 100644
index 0000000000000000000000000000000000000000..13b72433793c507cc1e692df52b62b1f1aebd030
--- /dev/null
+++ b/docs/build/html/_static/pygments.css
@@ -0,0 +1,74 @@
+pre { line-height: 125%; }
+td.linenos pre { color: #000000; background-color: #f0f0f0; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: #000000; background-color: #f0f0f0; padding-left: 5px; padding-right: 5px; }
+td.linenos pre.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: #ffffcc }
+.highlight { background: #f8f8f8; }
+.highlight .c { color: #408080; font-style: italic } /* Comment */
+.highlight .err { border: 1px solid #FF0000 } /* Error */
+.highlight .k { color: #008000; font-weight: bold } /* Keyword */
+.highlight .o { color: #666666 } /* Operator */
+.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
+.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
+.highlight .gd { color: #A00000 } /* Generic.Deleted */
+.highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .gr { color: #FF0000 } /* Generic.Error */
+.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #00A000 } /* Generic.Inserted */
+.highlight .go { color: #888888 } /* Generic.Output */
+.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
+.highlight .gs { font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.highlight .gt { color: #0044DD } /* Generic.Traceback */
+.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #008000 } /* Keyword.Pseudo */
+.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #B00040 } /* Keyword.Type */
+.highlight .m { color: #666666 } /* Literal.Number */
+.highlight .s { color: #BA2121 } /* Literal.String */
+.highlight .na { color: #7D9029 } /* Name.Attribute */
+.highlight .nb { color: #008000 } /* Name.Builtin */
+.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
+.highlight .no { color: #880000 } /* Name.Constant */
+.highlight .nd { color: #AA22FF } /* Name.Decorator */
+.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
+.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
+.highlight .nf { color: #0000FF } /* Name.Function */
+.highlight .nl { color: #A0A000 } /* Name.Label */
+.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
+.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #19177C } /* Name.Variable */
+.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
+.highlight .w { color: #bbbbbb } /* Text.Whitespace */
+.highlight .mb { color: #666666 } /* Literal.Number.Bin */
+.highlight .mf { color: #666666 } /* Literal.Number.Float */
+.highlight .mh { color: #666666 } /* Literal.Number.Hex */
+.highlight .mi { color: #666666 } /* Literal.Number.Integer */
+.highlight .mo { color: #666666 } /* Literal.Number.Oct */
+.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
+.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
+.highlight .sc { color: #BA2121 } /* Literal.String.Char */
+.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
+.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
+.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
+.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
+.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
+.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
+.highlight .sx { color: #008000 } /* Literal.String.Other */
+.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
+.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
+.highlight .ss { color: #19177C } /* Literal.String.Symbol */
+.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #0000FF } /* Name.Function.Magic */
+.highlight .vc { color: #19177C } /* Name.Variable.Class */
+.highlight .vg { color: #19177C } /* Name.Variable.Global */
+.highlight .vi { color: #19177C } /* Name.Variable.Instance */
+.highlight .vm { color: #19177C } /* Name.Variable.Magic */
+.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/docs/build/html/_static/searchtools.js b/docs/build/html/_static/searchtools.js
new file mode 100644
index 0000000000000000000000000000000000000000..261ecaa92829538b506bc4794a14df56b151690e
--- /dev/null
+++ b/docs/build/html/_static/searchtools.js
@@ -0,0 +1,514 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2020 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+if (!Scorer) {
+ /**
+ * Simple result scoring code.
+ */
+ var Scorer = {
+ // Implement the following function to further tweak the score for each result
+ // The function takes a result array [filename, title, anchor, descr, score]
+ // and returns the new score.
+ /*
+ score: function(result) {
+ return result[4];
+ },
+ */
+
+ // query matches the full name of an object
+ objNameMatch: 11,
+ // or matches in the last dotted part of the object name
+ objPartialMatch: 6,
+ // Additive scores depending on the priority of the object
+ objPrio: {0: 15, // used to be importantResults
+ 1: 5, // used to be objectResults
+ 2: -5}, // used to be unimportantResults
+ // Used when the priority is not in the mapping.
+ objPrioDefault: 0,
+
+ // query found in title
+ title: 15,
+ partialTitle: 7,
+ // query found in terms
+ term: 5,
+ partialTerm: 2
+ };
+}
+
+if (!splitQuery) {
+ function splitQuery(query) {
+ return query.split(/\s+/);
+ }
+}
+
+/**
+ * Search Module
+ */
+var Search = {
+
+ _index : null,
+ _queued_query : null,
+ _pulse_status : -1,
+
+ htmlToText : function(htmlString) {
+ var virtualDocument = document.implementation.createHTMLDocument('virtual');
+ var htmlElement = $(htmlString, virtualDocument);
+ htmlElement.find('.headerlink').remove();
+ docContent = htmlElement.find('[role=main]')[0];
+ if(docContent === undefined) {
+ console.warn("Content block not found. Sphinx search tries to obtain it " +
+ "via '[role=main]'. Could you check your theme or template.");
+ return "";
+ }
+ return docContent.textContent || docContent.innerText;
+ },
+
+ init : function() {
+ var params = $.getQueryParameters();
+ if (params.q) {
+ var query = params.q[0];
+ $('input[name="q"]')[0].value = query;
+ this.performSearch(query);
+ }
+ },
+
+ loadIndex : function(url) {
+ $.ajax({type: "GET", url: url, data: null,
+ dataType: "script", cache: true,
+ complete: function(jqxhr, textstatus) {
+ if (textstatus != "success") {
+ document.getElementById("searchindexloader").src = url;
+ }
+ }});
+ },
+
+ setIndex : function(index) {
+ var q;
+ this._index = index;
+ if ((q = this._queued_query) !== null) {
+ this._queued_query = null;
+ Search.query(q);
+ }
+ },
+
+ hasIndex : function() {
+ return this._index !== null;
+ },
+
+ deferQuery : function(query) {
+ this._queued_query = query;
+ },
+
+ stopPulse : function() {
+ this._pulse_status = 0;
+ },
+
+ startPulse : function() {
+ if (this._pulse_status >= 0)
+ return;
+ function pulse() {
+ var i;
+ Search._pulse_status = (Search._pulse_status + 1) % 4;
+ var dotString = '';
+ for (i = 0; i < Search._pulse_status; i++)
+ dotString += '.';
+ Search.dots.text(dotString);
+ if (Search._pulse_status > -1)
+ window.setTimeout(pulse, 500);
+ }
+ pulse();
+ },
+
+ /**
+ * perform a search for something (or wait until index is loaded)
+ */
+ performSearch : function(query) {
+ // create the required interface elements
+ this.out = $('#search-results');
+ this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
+ this.dots = $('<span></span>').appendTo(this.title);
+ this.status = $('<p class="search-summary"> </p>').appendTo(this.out);
+ this.output = $('<ul class="search"/>').appendTo(this.out);
+
+ $('#search-progress').text(_('Preparing search...'));
+ this.startPulse();
+
+ // index already loaded, the browser was quick!
+ if (this.hasIndex())
+ this.query(query);
+ else
+ this.deferQuery(query);
+ },
+
+ /**
+ * execute search (requires search index to be loaded)
+ */
+ query : function(query) {
+ var i;
+
+ // stem the searchterms and add them to the correct list
+ var stemmer = new Stemmer();
+ var searchterms = [];
+ var excluded = [];
+ var hlterms = [];
+ var tmp = splitQuery(query);
+ var objectterms = [];
+ for (i = 0; i < tmp.length; i++) {
+ if (tmp[i] !== "") {
+ objectterms.push(tmp[i].toLowerCase());
+ }
+
+ if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i] === "") {
+ // skip this "word"
+ continue;
+ }
+ // stem the word
+ var word = stemmer.stemWord(tmp[i].toLowerCase());
+ // prevent stemmer from cutting word smaller than two chars
+ if(word.length < 3 && tmp[i].length >= 3) {
+ word = tmp[i];
+ }
+ var toAppend;
+ // select the correct list
+ if (word[0] == '-') {
+ toAppend = excluded;
+ word = word.substr(1);
+ }
+ else {
+ toAppend = searchterms;
+ hlterms.push(tmp[i].toLowerCase());
+ }
+ // only add if not already in the list
+ if (!$u.contains(toAppend, word))
+ toAppend.push(word);
+ }
+ var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
+
+ // console.debug('SEARCH: searching for:');
+ // console.info('required: ', searchterms);
+ // console.info('excluded: ', excluded);
+
+ // prepare search
+ var terms = this._index.terms;
+ var titleterms = this._index.titleterms;
+
+ // array of [filename, title, anchor, descr, score]
+ var results = [];
+ $('#search-progress').empty();
+
+ // lookup as object
+ for (i = 0; i < objectterms.length; i++) {
+ var others = [].concat(objectterms.slice(0, i),
+ objectterms.slice(i+1, objectterms.length));
+ results = results.concat(this.performObjectSearch(objectterms[i], others));
+ }
+
+ // lookup as search terms in fulltext
+ results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
+
+ // let the scorer override scores with a custom scoring function
+ if (Scorer.score) {
+ for (i = 0; i < results.length; i++)
+ results[i][4] = Scorer.score(results[i]);
+ }
+
+ // now sort the results by score (in opposite order of appearance, since the
+ // display function below uses pop() to retrieve items) and then
+ // alphabetically
+ results.sort(function(a, b) {
+ var left = a[4];
+ var right = b[4];
+ if (left > right) {
+ return 1;
+ } else if (left < right) {
+ return -1;
+ } else {
+ // same score: sort alphabetically
+ left = a[1].toLowerCase();
+ right = b[1].toLowerCase();
+ return (left > right) ? -1 : ((left < right) ? 1 : 0);
+ }
+ });
+
+ // for debugging
+ //Search.lastresults = results.slice(); // a copy
+ //console.info('search results:', Search.lastresults);
+
+ // print the results
+ var resultCount = results.length;
+ function displayNextItem() {
+ // results left, load the summary and display it
+ if (results.length) {
+ var item = results.pop();
+ var listItem = $('<li style="display:none"></li>');
+ var requestUrl = "";
+ var linkUrl = "";
+ if (DOCUMENTATION_OPTIONS.BUILDER === 'dirhtml') {
+ // dirhtml builder
+ var dirname = item[0] + '/';
+ if (dirname.match(/\/index\/$/)) {
+ dirname = dirname.substring(0, dirname.length-6);
+ } else if (dirname == 'index/') {
+ dirname = '';
+ }
+ requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + dirname;
+ linkUrl = requestUrl;
+
+ } else {
+ // normal html builders
+ requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+ linkUrl = item[0] + DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+ }
+ listItem.append($('<a/>').attr('href',
+ linkUrl +
+ highlightstring + item[2]).html(item[1]));
+ if (item[3]) {
+ listItem.append($('<span> (' + item[3] + ')</span>'));
+ Search.output.append(listItem);
+ listItem.slideDown(5, function() {
+ displayNextItem();
+ });
+ } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
+ $.ajax({url: requestUrl,
+ dataType: "text",
+ complete: function(jqxhr, textstatus) {
+ var data = jqxhr.responseText;
+ if (data !== '' && data !== undefined) {
+ listItem.append(Search.makeSearchSummary(data, searchterms, hlterms));
+ }
+ Search.output.append(listItem);
+ listItem.slideDown(5, function() {
+ displayNextItem();
+ });
+ }});
+ } else {
+ // no source available, just display title
+ Search.output.append(listItem);
+ listItem.slideDown(5, function() {
+ displayNextItem();
+ });
+ }
+ }
+ // search finished, update title and status message
+ else {
+ Search.stopPulse();
+ Search.title.text(_('Search Results'));
+ if (!resultCount)
+ Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
+ else
+ Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
+ Search.status.fadeIn(500);
+ }
+ }
+ displayNextItem();
+ },
+
+ /**
+ * search for object names
+ */
+ performObjectSearch : function(object, otherterms) {
+ var filenames = this._index.filenames;
+ var docnames = this._index.docnames;
+ var objects = this._index.objects;
+ var objnames = this._index.objnames;
+ var titles = this._index.titles;
+
+ var i;
+ var results = [];
+
+ for (var prefix in objects) {
+ for (var name in objects[prefix]) {
+ var fullname = (prefix ? prefix + '.' : '') + name;
+ var fullnameLower = fullname.toLowerCase()
+ if (fullnameLower.indexOf(object) > -1) {
+ var score = 0;
+ var parts = fullnameLower.split('.');
+ // check for different match types: exact matches of full name or
+ // "last name" (i.e. last dotted part)
+ if (fullnameLower == object || parts[parts.length - 1] == object) {
+ score += Scorer.objNameMatch;
+ // matches in last name
+ } else if (parts[parts.length - 1].indexOf(object) > -1) {
+ score += Scorer.objPartialMatch;
+ }
+ var match = objects[prefix][name];
+ var objname = objnames[match[1]][2];
+ var title = titles[match[0]];
+ // If more than one term searched for, we require other words to be
+ // found in the name/title/description
+ if (otherterms.length > 0) {
+ var haystack = (prefix + ' ' + name + ' ' +
+ objname + ' ' + title).toLowerCase();
+ var allfound = true;
+ for (i = 0; i < otherterms.length; i++) {
+ if (haystack.indexOf(otherterms[i]) == -1) {
+ allfound = false;
+ break;
+ }
+ }
+ if (!allfound) {
+ continue;
+ }
+ }
+ var descr = objname + _(', in ') + title;
+
+ var anchor = match[3];
+ if (anchor === '')
+ anchor = fullname;
+ else if (anchor == '-')
+ anchor = objnames[match[1]][1] + '-' + fullname;
+ // add custom score for some objects according to scorer
+ if (Scorer.objPrio.hasOwnProperty(match[2])) {
+ score += Scorer.objPrio[match[2]];
+ } else {
+ score += Scorer.objPrioDefault;
+ }
+ results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]);
+ }
+ }
+ }
+
+ return results;
+ },
+
+ /**
+ * search for full-text terms in the index
+ */
+ performTermsSearch : function(searchterms, excluded, terms, titleterms) {
+ var docnames = this._index.docnames;
+ var filenames = this._index.filenames;
+ var titles = this._index.titles;
+
+ var i, j, file;
+ var fileMap = {};
+ var scoreMap = {};
+ var results = [];
+
+ // perform the search on the required terms
+ for (i = 0; i < searchterms.length; i++) {
+ var word = searchterms[i];
+ var files = [];
+ var _o = [
+ {files: terms[word], score: Scorer.term},
+ {files: titleterms[word], score: Scorer.title}
+ ];
+ // add support for partial matches
+ if (word.length > 2) {
+ for (var w in terms) {
+ if (w.match(word) && !terms[word]) {
+ _o.push({files: terms[w], score: Scorer.partialTerm})
+ }
+ }
+ for (var w in titleterms) {
+ if (w.match(word) && !titleterms[word]) {
+ _o.push({files: titleterms[w], score: Scorer.partialTitle})
+ }
+ }
+ }
+
+ // no match but word was a required one
+ if ($u.every(_o, function(o){return o.files === undefined;})) {
+ break;
+ }
+ // found search word in contents
+ $u.each(_o, function(o) {
+ var _files = o.files;
+ if (_files === undefined)
+ return
+
+ if (_files.length === undefined)
+ _files = [_files];
+ files = files.concat(_files);
+
+ // set score for the word in each file to Scorer.term
+ for (j = 0; j < _files.length; j++) {
+ file = _files[j];
+ if (!(file in scoreMap))
+ scoreMap[file] = {};
+ scoreMap[file][word] = o.score;
+ }
+ });
+
+ // create the mapping
+ for (j = 0; j < files.length; j++) {
+ file = files[j];
+ if (file in fileMap && fileMap[file].indexOf(word) === -1)
+ fileMap[file].push(word);
+ else
+ fileMap[file] = [word];
+ }
+ }
+
+ // now check if the files don't contain excluded terms
+ for (file in fileMap) {
+ var valid = true;
+
+ // check if all requirements are matched
+ var filteredTermCount = // as search terms with length < 3 are discarded: ignore
+ searchterms.filter(function(term){return term.length > 2}).length
+ if (
+ fileMap[file].length != searchterms.length &&
+ fileMap[file].length != filteredTermCount
+ ) continue;
+
+ // ensure that none of the excluded terms is in the search result
+ for (i = 0; i < excluded.length; i++) {
+ if (terms[excluded[i]] == file ||
+ titleterms[excluded[i]] == file ||
+ $u.contains(terms[excluded[i]] || [], file) ||
+ $u.contains(titleterms[excluded[i]] || [], file)) {
+ valid = false;
+ break;
+ }
+ }
+
+ // if we have still a valid result we can add it to the result list
+ if (valid) {
+ // select one (max) score for the file.
+ // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
+ var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
+ results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
+ }
+ }
+ return results;
+ },
+
+ /**
+ * helper function to return a node containing the
+ * search summary for a given text. keywords is a list
+ * of stemmed words, hlwords is the list of normal, unstemmed
+ * words. the first one is used to find the occurrence, the
+ * latter for highlighting it.
+ */
+ makeSearchSummary : function(htmlText, keywords, hlwords) {
+ var text = Search.htmlToText(htmlText);
+ var textLower = text.toLowerCase();
+ var start = 0;
+ $.each(keywords, function() {
+ var i = textLower.indexOf(this.toLowerCase());
+ if (i > -1)
+ start = i;
+ });
+ start = Math.max(start - 120, 0);
+ var excerpt = ((start > 0) ? '...' : '') +
+ $.trim(text.substr(start, 240)) +
+ ((start + 240 - text.length) ? '...' : '');
+ var rv = $('<div class="context"></div>').text(excerpt);
+ $.each(hlwords, function() {
+ rv = rv.highlightText(this, 'highlighted');
+ });
+ return rv;
+ }
+};
+
+$(document).ready(function() {
+ Search.init();
+});
diff --git a/docs/build/html/_static/underscore-1.3.1.js b/docs/build/html/_static/underscore-1.3.1.js
new file mode 100644
index 0000000000000000000000000000000000000000..208d4cd890c3183d946092ebe982738ade565061
--- /dev/null
+++ b/docs/build/html/_static/underscore-1.3.1.js
@@ -0,0 +1,999 @@
+// Underscore.js 1.3.1
+// (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
+// Underscore is freely distributable under the MIT license.
+// Portions of Underscore are inspired or borrowed from Prototype,
+// Oliver Steele's Functional, and John Resig's Micro-Templating.
+// For all details and documentation:
+// http://documentcloud.github.com/underscore
+
+(function() {
+
+ // Baseline setup
+ // --------------
+
+ // Establish the root object, `window` in the browser, or `global` on the server.
+ var root = this;
+
+ // Save the previous value of the `_` variable.
+ var previousUnderscore = root._;
+
+ // Establish the object that gets returned to break out of a loop iteration.
+ var breaker = {};
+
+ // Save bytes in the minified (but not gzipped) version:
+ var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype;
+
+ // Create quick reference variables for speed access to core prototypes.
+ var slice = ArrayProto.slice,
+ unshift = ArrayProto.unshift,
+ toString = ObjProto.toString,
+ hasOwnProperty = ObjProto.hasOwnProperty;
+
+ // All **ECMAScript 5** native function implementations that we hope to use
+ // are declared here.
+ var
+ nativeForEach = ArrayProto.forEach,
+ nativeMap = ArrayProto.map,
+ nativeReduce = ArrayProto.reduce,
+ nativeReduceRight = ArrayProto.reduceRight,
+ nativeFilter = ArrayProto.filter,
+ nativeEvery = ArrayProto.every,
+ nativeSome = ArrayProto.some,
+ nativeIndexOf = ArrayProto.indexOf,
+ nativeLastIndexOf = ArrayProto.lastIndexOf,
+ nativeIsArray = Array.isArray,
+ nativeKeys = Object.keys,
+ nativeBind = FuncProto.bind;
+
+ // Create a safe reference to the Underscore object for use below.
+ var _ = function(obj) { return new wrapper(obj); };
+
+ // Export the Underscore object for **Node.js**, with
+ // backwards-compatibility for the old `require()` API. If we're in
+ // the browser, add `_` as a global object via a string identifier,
+ // for Closure Compiler "advanced" mode.
+ if (typeof exports !== 'undefined') {
+ if (typeof module !== 'undefined' && module.exports) {
+ exports = module.exports = _;
+ }
+ exports._ = _;
+ } else {
+ root['_'] = _;
+ }
+
+ // Current version.
+ _.VERSION = '1.3.1';
+
+ // Collection Functions
+ // --------------------
+
+ // The cornerstone, an `each` implementation, aka `forEach`.
+ // Handles objects with the built-in `forEach`, arrays, and raw objects.
+ // Delegates to **ECMAScript 5**'s native `forEach` if available.
+ var each = _.each = _.forEach = function(obj, iterator, context) {
+ if (obj == null) return;
+ if (nativeForEach && obj.forEach === nativeForEach) {
+ obj.forEach(iterator, context);
+ } else if (obj.length === +obj.length) {
+ for (var i = 0, l = obj.length; i < l; i++) {
+ if (i in obj && iterator.call(context, obj[i], i, obj) === breaker) return;
+ }
+ } else {
+ for (var key in obj) {
+ if (_.has(obj, key)) {
+ if (iterator.call(context, obj[key], key, obj) === breaker) return;
+ }
+ }
+ }
+ };
+
+ // Return the results of applying the iterator to each element.
+ // Delegates to **ECMAScript 5**'s native `map` if available.
+ _.map = _.collect = function(obj, iterator, context) {
+ var results = [];
+ if (obj == null) return results;
+ if (nativeMap && obj.map === nativeMap) return obj.map(iterator, context);
+ each(obj, function(value, index, list) {
+ results[results.length] = iterator.call(context, value, index, list);
+ });
+ if (obj.length === +obj.length) results.length = obj.length;
+ return results;
+ };
+
+ // **Reduce** builds up a single result from a list of values, aka `inject`,
+ // or `foldl`. Delegates to **ECMAScript 5**'s native `reduce` if available.
+ _.reduce = _.foldl = _.inject = function(obj, iterator, memo, context) {
+ var initial = arguments.length > 2;
+ if (obj == null) obj = [];
+ if (nativeReduce && obj.reduce === nativeReduce) {
+ if (context) iterator = _.bind(iterator, context);
+ return initial ? obj.reduce(iterator, memo) : obj.reduce(iterator);
+ }
+ each(obj, function(value, index, list) {
+ if (!initial) {
+ memo = value;
+ initial = true;
+ } else {
+ memo = iterator.call(context, memo, value, index, list);
+ }
+ });
+ if (!initial) throw new TypeError('Reduce of empty array with no initial value');
+ return memo;
+ };
+
+ // The right-associative version of reduce, also known as `foldr`.
+ // Delegates to **ECMAScript 5**'s native `reduceRight` if available.
+ _.reduceRight = _.foldr = function(obj, iterator, memo, context) {
+ var initial = arguments.length > 2;
+ if (obj == null) obj = [];
+ if (nativeReduceRight && obj.reduceRight === nativeReduceRight) {
+ if (context) iterator = _.bind(iterator, context);
+ return initial ? obj.reduceRight(iterator, memo) : obj.reduceRight(iterator);
+ }
+ var reversed = _.toArray(obj).reverse();
+ if (context && !initial) iterator = _.bind(iterator, context);
+ return initial ? _.reduce(reversed, iterator, memo, context) : _.reduce(reversed, iterator);
+ };
+
+ // Return the first value which passes a truth test. Aliased as `detect`.
+ _.find = _.detect = function(obj, iterator, context) {
+ var result;
+ any(obj, function(value, index, list) {
+ if (iterator.call(context, value, index, list)) {
+ result = value;
+ return true;
+ }
+ });
+ return result;
+ };
+
+ // Return all the elements that pass a truth test.
+ // Delegates to **ECMAScript 5**'s native `filter` if available.
+ // Aliased as `select`.
+ _.filter = _.select = function(obj, iterator, context) {
+ var results = [];
+ if (obj == null) return results;
+ if (nativeFilter && obj.filter === nativeFilter) return obj.filter(iterator, context);
+ each(obj, function(value, index, list) {
+ if (iterator.call(context, value, index, list)) results[results.length] = value;
+ });
+ return results;
+ };
+
+ // Return all the elements for which a truth test fails.
+ _.reject = function(obj, iterator, context) {
+ var results = [];
+ if (obj == null) return results;
+ each(obj, function(value, index, list) {
+ if (!iterator.call(context, value, index, list)) results[results.length] = value;
+ });
+ return results;
+ };
+
+ // Determine whether all of the elements match a truth test.
+ // Delegates to **ECMAScript 5**'s native `every` if available.
+ // Aliased as `all`.
+ _.every = _.all = function(obj, iterator, context) {
+ var result = true;
+ if (obj == null) return result;
+ if (nativeEvery && obj.every === nativeEvery) return obj.every(iterator, context);
+ each(obj, function(value, index, list) {
+ if (!(result = result && iterator.call(context, value, index, list))) return breaker;
+ });
+ return result;
+ };
+
+ // Determine if at least one element in the object matches a truth test.
+ // Delegates to **ECMAScript 5**'s native `some` if available.
+ // Aliased as `any`.
+ var any = _.some = _.any = function(obj, iterator, context) {
+ iterator || (iterator = _.identity);
+ var result = false;
+ if (obj == null) return result;
+ if (nativeSome && obj.some === nativeSome) return obj.some(iterator, context);
+ each(obj, function(value, index, list) {
+ if (result || (result = iterator.call(context, value, index, list))) return breaker;
+ });
+ return !!result;
+ };
+
+ // Determine if a given value is included in the array or object using `===`.
+ // Aliased as `contains`.
+ _.include = _.contains = function(obj, target) {
+ var found = false;
+ if (obj == null) return found;
+ if (nativeIndexOf && obj.indexOf === nativeIndexOf) return obj.indexOf(target) != -1;
+ found = any(obj, function(value) {
+ return value === target;
+ });
+ return found;
+ };
+
+ // Invoke a method (with arguments) on every item in a collection.
+ _.invoke = function(obj, method) {
+ var args = slice.call(arguments, 2);
+ return _.map(obj, function(value) {
+ return (_.isFunction(method) ? method || value : value[method]).apply(value, args);
+ });
+ };
+
+ // Convenience version of a common use case of `map`: fetching a property.
+ _.pluck = function(obj, key) {
+ return _.map(obj, function(value){ return value[key]; });
+ };
+
+ // Return the maximum element or (element-based computation).
+ _.max = function(obj, iterator, context) {
+ if (!iterator && _.isArray(obj)) return Math.max.apply(Math, obj);
+ if (!iterator && _.isEmpty(obj)) return -Infinity;
+ var result = {computed : -Infinity};
+ each(obj, function(value, index, list) {
+ var computed = iterator ? iterator.call(context, value, index, list) : value;
+ computed >= result.computed && (result = {value : value, computed : computed});
+ });
+ return result.value;
+ };
+
+ // Return the minimum element (or element-based computation).
+ _.min = function(obj, iterator, context) {
+ if (!iterator && _.isArray(obj)) return Math.min.apply(Math, obj);
+ if (!iterator && _.isEmpty(obj)) return Infinity;
+ var result = {computed : Infinity};
+ each(obj, function(value, index, list) {
+ var computed = iterator ? iterator.call(context, value, index, list) : value;
+ computed < result.computed && (result = {value : value, computed : computed});
+ });
+ return result.value;
+ };
+
+ // Shuffle an array.
+ _.shuffle = function(obj) {
+ var shuffled = [], rand;
+ each(obj, function(value, index, list) {
+ if (index == 0) {
+ shuffled[0] = value;
+ } else {
+ rand = Math.floor(Math.random() * (index + 1));
+ shuffled[index] = shuffled[rand];
+ shuffled[rand] = value;
+ }
+ });
+ return shuffled;
+ };
+
+ // Sort the object's values by a criterion produced by an iterator.
+ _.sortBy = function(obj, iterator, context) {
+ return _.pluck(_.map(obj, function(value, index, list) {
+ return {
+ value : value,
+ criteria : iterator.call(context, value, index, list)
+ };
+ }).sort(function(left, right) {
+ var a = left.criteria, b = right.criteria;
+ return a < b ? -1 : a > b ? 1 : 0;
+ }), 'value');
+ };
+
+ // Groups the object's values by a criterion. Pass either a string attribute
+ // to group by, or a function that returns the criterion.
+ _.groupBy = function(obj, val) {
+ var result = {};
+ var iterator = _.isFunction(val) ? val : function(obj) { return obj[val]; };
+ each(obj, function(value, index) {
+ var key = iterator(value, index);
+ (result[key] || (result[key] = [])).push(value);
+ });
+ return result;
+ };
+
+ // Use a comparator function to figure out at what index an object should
+ // be inserted so as to maintain order. Uses binary search.
+ _.sortedIndex = function(array, obj, iterator) {
+ iterator || (iterator = _.identity);
+ var low = 0, high = array.length;
+ while (low < high) {
+ var mid = (low + high) >> 1;
+ iterator(array[mid]) < iterator(obj) ? low = mid + 1 : high = mid;
+ }
+ return low;
+ };
+
+ // Safely convert anything iterable into a real, live array.
+ _.toArray = function(iterable) {
+ if (!iterable) return [];
+ if (iterable.toArray) return iterable.toArray();
+ if (_.isArray(iterable)) return slice.call(iterable);
+ if (_.isArguments(iterable)) return slice.call(iterable);
+ return _.values(iterable);
+ };
+
+ // Return the number of elements in an object.
+ _.size = function(obj) {
+ return _.toArray(obj).length;
+ };
+
+ // Array Functions
+ // ---------------
+
+ // Get the first element of an array. Passing **n** will return the first N
+ // values in the array. Aliased as `head`. The **guard** check allows it to work
+ // with `_.map`.
+ _.first = _.head = function(array, n, guard) {
+ return (n != null) && !guard ? slice.call(array, 0, n) : array[0];
+ };
+
+ // Returns everything but the last entry of the array. Especcialy useful on
+ // the arguments object. Passing **n** will return all the values in
+ // the array, excluding the last N. The **guard** check allows it to work with
+ // `_.map`.
+ _.initial = function(array, n, guard) {
+ return slice.call(array, 0, array.length - ((n == null) || guard ? 1 : n));
+ };
+
+ // Get the last element of an array. Passing **n** will return the last N
+ // values in the array. The **guard** check allows it to work with `_.map`.
+ _.last = function(array, n, guard) {
+ if ((n != null) && !guard) {
+ return slice.call(array, Math.max(array.length - n, 0));
+ } else {
+ return array[array.length - 1];
+ }
+ };
+
+ // Returns everything but the first entry of the array. Aliased as `tail`.
+ // Especially useful on the arguments object. Passing an **index** will return
+ // the rest of the values in the array from that index onward. The **guard**
+ // check allows it to work with `_.map`.
+ _.rest = _.tail = function(array, index, guard) {
+ return slice.call(array, (index == null) || guard ? 1 : index);
+ };
+
+ // Trim out all falsy values from an array.
+ _.compact = function(array) {
+ return _.filter(array, function(value){ return !!value; });
+ };
+
+ // Return a completely flattened version of an array.
+ _.flatten = function(array, shallow) {
+ return _.reduce(array, function(memo, value) {
+ if (_.isArray(value)) return memo.concat(shallow ? value : _.flatten(value));
+ memo[memo.length] = value;
+ return memo;
+ }, []);
+ };
+
+ // Return a version of the array that does not contain the specified value(s).
+ _.without = function(array) {
+ return _.difference(array, slice.call(arguments, 1));
+ };
+
+ // Produce a duplicate-free version of the array. If the array has already
+ // been sorted, you have the option of using a faster algorithm.
+ // Aliased as `unique`.
+ _.uniq = _.unique = function(array, isSorted, iterator) {
+ var initial = iterator ? _.map(array, iterator) : array;
+ var result = [];
+ _.reduce(initial, function(memo, el, i) {
+ if (0 == i || (isSorted === true ? _.last(memo) != el : !_.include(memo, el))) {
+ memo[memo.length] = el;
+ result[result.length] = array[i];
+ }
+ return memo;
+ }, []);
+ return result;
+ };
+
+ // Produce an array that contains the union: each distinct element from all of
+ // the passed-in arrays.
+ _.union = function() {
+ return _.uniq(_.flatten(arguments, true));
+ };
+
+ // Produce an array that contains every item shared between all the
+ // passed-in arrays. (Aliased as "intersect" for back-compat.)
+ _.intersection = _.intersect = function(array) {
+ var rest = slice.call(arguments, 1);
+ return _.filter(_.uniq(array), function(item) {
+ return _.every(rest, function(other) {
+ return _.indexOf(other, item) >= 0;
+ });
+ });
+ };
+
+ // Take the difference between one array and a number of other arrays.
+ // Only the elements present in just the first array will remain.
+ _.difference = function(array) {
+ var rest = _.flatten(slice.call(arguments, 1));
+ return _.filter(array, function(value){ return !_.include(rest, value); });
+ };
+
+ // Zip together multiple lists into a single array -- elements that share
+ // an index go together.
+ _.zip = function() {
+ var args = slice.call(arguments);
+ var length = _.max(_.pluck(args, 'length'));
+ var results = new Array(length);
+ for (var i = 0; i < length; i++) results[i] = _.pluck(args, "" + i);
+ return results;
+ };
+
+ // If the browser doesn't supply us with indexOf (I'm looking at you, **MSIE**),
+ // we need this function. Return the position of the first occurrence of an
+ // item in an array, or -1 if the item is not included in the array.
+ // Delegates to **ECMAScript 5**'s native `indexOf` if available.
+ // If the array is large and already in sort order, pass `true`
+ // for **isSorted** to use binary search.
+ _.indexOf = function(array, item, isSorted) {
+ if (array == null) return -1;
+ var i, l;
+ if (isSorted) {
+ i = _.sortedIndex(array, item);
+ return array[i] === item ? i : -1;
+ }
+ if (nativeIndexOf && array.indexOf === nativeIndexOf) return array.indexOf(item);
+ for (i = 0, l = array.length; i < l; i++) if (i in array && array[i] === item) return i;
+ return -1;
+ };
+
+ // Delegates to **ECMAScript 5**'s native `lastIndexOf` if available.
+ _.lastIndexOf = function(array, item) {
+ if (array == null) return -1;
+ if (nativeLastIndexOf && array.lastIndexOf === nativeLastIndexOf) return array.lastIndexOf(item);
+ var i = array.length;
+ while (i--) if (i in array && array[i] === item) return i;
+ return -1;
+ };
+
+ // Generate an integer Array containing an arithmetic progression. A port of
+ // the native Python `range()` function. See
+ // [the Python documentation](http://docs.python.org/library/functions.html#range).
+ _.range = function(start, stop, step) {
+ if (arguments.length <= 1) {
+ stop = start || 0;
+ start = 0;
+ }
+ step = arguments[2] || 1;
+
+ var len = Math.max(Math.ceil((stop - start) / step), 0);
+ var idx = 0;
+ var range = new Array(len);
+
+ while(idx < len) {
+ range[idx++] = start;
+ start += step;
+ }
+
+ return range;
+ };
+
+ // Function (ahem) Functions
+ // ------------------
+
+ // Reusable constructor function for prototype setting.
+ var ctor = function(){};
+
+ // Create a function bound to a given object (assigning `this`, and arguments,
+ // optionally). Binding with arguments is also known as `curry`.
+ // Delegates to **ECMAScript 5**'s native `Function.bind` if available.
+ // We check for `func.bind` first, to fail fast when `func` is undefined.
+ _.bind = function bind(func, context) {
+ var bound, args;
+ if (func.bind === nativeBind && nativeBind) return nativeBind.apply(func, slice.call(arguments, 1));
+ if (!_.isFunction(func)) throw new TypeError;
+ args = slice.call(arguments, 2);
+ return bound = function() {
+ if (!(this instanceof bound)) return func.apply(context, args.concat(slice.call(arguments)));
+ ctor.prototype = func.prototype;
+ var self = new ctor;
+ var result = func.apply(self, args.concat(slice.call(arguments)));
+ if (Object(result) === result) return result;
+ return self;
+ };
+ };
+
+ // Bind all of an object's methods to that object. Useful for ensuring that
+ // all callbacks defined on an object belong to it.
+ _.bindAll = function(obj) {
+ var funcs = slice.call(arguments, 1);
+ if (funcs.length == 0) funcs = _.functions(obj);
+ each(funcs, function(f) { obj[f] = _.bind(obj[f], obj); });
+ return obj;
+ };
+
+ // Memoize an expensive function by storing its results.
+ _.memoize = function(func, hasher) {
+ var memo = {};
+ hasher || (hasher = _.identity);
+ return function() {
+ var key = hasher.apply(this, arguments);
+ return _.has(memo, key) ? memo[key] : (memo[key] = func.apply(this, arguments));
+ };
+ };
+
+ // Delays a function for the given number of milliseconds, and then calls
+ // it with the arguments supplied.
+ _.delay = function(func, wait) {
+ var args = slice.call(arguments, 2);
+ return setTimeout(function(){ return func.apply(func, args); }, wait);
+ };
+
+ // Defers a function, scheduling it to run after the current call stack has
+ // cleared.
+ _.defer = function(func) {
+ return _.delay.apply(_, [func, 1].concat(slice.call(arguments, 1)));
+ };
+
+ // Returns a function, that, when invoked, will only be triggered at most once
+ // during a given window of time.
+ _.throttle = function(func, wait) {
+ var context, args, timeout, throttling, more;
+ var whenDone = _.debounce(function(){ more = throttling = false; }, wait);
+ return function() {
+ context = this; args = arguments;
+ var later = function() {
+ timeout = null;
+ if (more) func.apply(context, args);
+ whenDone();
+ };
+ if (!timeout) timeout = setTimeout(later, wait);
+ if (throttling) {
+ more = true;
+ } else {
+ func.apply(context, args);
+ }
+ whenDone();
+ throttling = true;
+ };
+ };
+
+ // Returns a function, that, as long as it continues to be invoked, will not
+ // be triggered. The function will be called after it stops being called for
+ // N milliseconds.
+ _.debounce = function(func, wait) {
+ var timeout;
+ return function() {
+ var context = this, args = arguments;
+ var later = function() {
+ timeout = null;
+ func.apply(context, args);
+ };
+ clearTimeout(timeout);
+ timeout = setTimeout(later, wait);
+ };
+ };
+
+ // Returns a function that will be executed at most one time, no matter how
+ // often you call it. Useful for lazy initialization.
+ _.once = function(func) {
+ var ran = false, memo;
+ return function() {
+ if (ran) return memo;
+ ran = true;
+ return memo = func.apply(this, arguments);
+ };
+ };
+
+ // Returns the first function passed as an argument to the second,
+ // allowing you to adjust arguments, run code before and after, and
+ // conditionally execute the original function.
+ _.wrap = function(func, wrapper) {
+ return function() {
+ var args = [func].concat(slice.call(arguments, 0));
+ return wrapper.apply(this, args);
+ };
+ };
+
+ // Returns a function that is the composition of a list of functions, each
+ // consuming the return value of the function that follows.
+ _.compose = function() {
+ var funcs = arguments;
+ return function() {
+ var args = arguments;
+ for (var i = funcs.length - 1; i >= 0; i--) {
+ args = [funcs[i].apply(this, args)];
+ }
+ return args[0];
+ };
+ };
+
+ // Returns a function that will only be executed after being called N times.
+ _.after = function(times, func) {
+ if (times <= 0) return func();
+ return function() {
+ if (--times < 1) { return func.apply(this, arguments); }
+ };
+ };
+
+ // Object Functions
+ // ----------------
+
+ // Retrieve the names of an object's properties.
+ // Delegates to **ECMAScript 5**'s native `Object.keys`
+ _.keys = nativeKeys || function(obj) {
+ if (obj !== Object(obj)) throw new TypeError('Invalid object');
+ var keys = [];
+ for (var key in obj) if (_.has(obj, key)) keys[keys.length] = key;
+ return keys;
+ };
+
+ // Retrieve the values of an object's properties.
+ _.values = function(obj) {
+ return _.map(obj, _.identity);
+ };
+
+ // Return a sorted list of the function names available on the object.
+ // Aliased as `methods`
+ _.functions = _.methods = function(obj) {
+ var names = [];
+ for (var key in obj) {
+ if (_.isFunction(obj[key])) names.push(key);
+ }
+ return names.sort();
+ };
+
+ // Extend a given object with all the properties in passed-in object(s).
+ _.extend = function(obj) {
+ each(slice.call(arguments, 1), function(source) {
+ for (var prop in source) {
+ obj[prop] = source[prop];
+ }
+ });
+ return obj;
+ };
+
+ // Fill in a given object with default properties.
+ _.defaults = function(obj) {
+ each(slice.call(arguments, 1), function(source) {
+ for (var prop in source) {
+ if (obj[prop] == null) obj[prop] = source[prop];
+ }
+ });
+ return obj;
+ };
+
+ // Create a (shallow-cloned) duplicate of an object.
+ _.clone = function(obj) {
+ if (!_.isObject(obj)) return obj;
+ return _.isArray(obj) ? obj.slice() : _.extend({}, obj);
+ };
+
+ // Invokes interceptor with the obj, and then returns obj.
+ // The primary purpose of this method is to "tap into" a method chain, in
+ // order to perform operations on intermediate results within the chain.
+ _.tap = function(obj, interceptor) {
+ interceptor(obj);
+ return obj;
+ };
+
+ // Internal recursive comparison function.
+ function eq(a, b, stack) {
+ // Identical objects are equal. `0 === -0`, but they aren't identical.
+ // See the Harmony `egal` proposal: http://wiki.ecmascript.org/doku.php?id=harmony:egal.
+ if (a === b) return a !== 0 || 1 / a == 1 / b;
+ // A strict comparison is necessary because `null == undefined`.
+ if (a == null || b == null) return a === b;
+ // Unwrap any wrapped objects.
+ if (a._chain) a = a._wrapped;
+ if (b._chain) b = b._wrapped;
+ // Invoke a custom `isEqual` method if one is provided.
+ if (a.isEqual && _.isFunction(a.isEqual)) return a.isEqual(b);
+ if (b.isEqual && _.isFunction(b.isEqual)) return b.isEqual(a);
+ // Compare `[[Class]]` names.
+ var className = toString.call(a);
+ if (className != toString.call(b)) return false;
+ switch (className) {
+ // Strings, numbers, dates, and booleans are compared by value.
+ case '[object String]':
+ // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
+ // equivalent to `new String("5")`.
+ return a == String(b);
+ case '[object Number]':
+ // `NaN`s are equivalent, but non-reflexive. An `egal` comparison is performed for
+ // other numeric values.
+ return a != +a ? b != +b : (a == 0 ? 1 / a == 1 / b : a == +b);
+ case '[object Date]':
+ case '[object Boolean]':
+ // Coerce dates and booleans to numeric primitive values. Dates are compared by their
+ // millisecond representations. Note that invalid dates with millisecond representations
+ // of `NaN` are not equivalent.
+ return +a == +b;
+ // RegExps are compared by their source patterns and flags.
+ case '[object RegExp]':
+ return a.source == b.source &&
+ a.global == b.global &&
+ a.multiline == b.multiline &&
+ a.ignoreCase == b.ignoreCase;
+ }
+ if (typeof a != 'object' || typeof b != 'object') return false;
+ // Assume equality for cyclic structures. The algorithm for detecting cyclic
+ // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
+ var length = stack.length;
+ while (length--) {
+ // Linear search. Performance is inversely proportional to the number of
+ // unique nested structures.
+ if (stack[length] == a) return true;
+ }
+ // Add the first object to the stack of traversed objects.
+ stack.push(a);
+ var size = 0, result = true;
+ // Recursively compare objects and arrays.
+ if (className == '[object Array]') {
+ // Compare array lengths to determine if a deep comparison is necessary.
+ size = a.length;
+ result = size == b.length;
+ if (result) {
+ // Deep compare the contents, ignoring non-numeric properties.
+ while (size--) {
+ // Ensure commutative equality for sparse arrays.
+ if (!(result = size in a == size in b && eq(a[size], b[size], stack))) break;
+ }
+ }
+ } else {
+ // Objects with different constructors are not equivalent.
+ if ('constructor' in a != 'constructor' in b || a.constructor != b.constructor) return false;
+ // Deep compare objects.
+ for (var key in a) {
+ if (_.has(a, key)) {
+ // Count the expected number of properties.
+ size++;
+ // Deep compare each member.
+ if (!(result = _.has(b, key) && eq(a[key], b[key], stack))) break;
+ }
+ }
+ // Ensure that both objects contain the same number of properties.
+ if (result) {
+ for (key in b) {
+ if (_.has(b, key) && !(size--)) break;
+ }
+ result = !size;
+ }
+ }
+ // Remove the first object from the stack of traversed objects.
+ stack.pop();
+ return result;
+ }
+
+ // Perform a deep comparison to check if two objects are equal.
+ _.isEqual = function(a, b) {
+ return eq(a, b, []);
+ };
+
+ // Is a given array, string, or object empty?
+ // An "empty" object has no enumerable own-properties.
+ _.isEmpty = function(obj) {
+ if (_.isArray(obj) || _.isString(obj)) return obj.length === 0;
+ for (var key in obj) if (_.has(obj, key)) return false;
+ return true;
+ };
+
+ // Is a given value a DOM element?
+ _.isElement = function(obj) {
+ return !!(obj && obj.nodeType == 1);
+ };
+
+ // Is a given value an array?
+ // Delegates to ECMA5's native Array.isArray
+ _.isArray = nativeIsArray || function(obj) {
+ return toString.call(obj) == '[object Array]';
+ };
+
+ // Is a given variable an object?
+ _.isObject = function(obj) {
+ return obj === Object(obj);
+ };
+
+ // Is a given variable an arguments object?
+ _.isArguments = function(obj) {
+ return toString.call(obj) == '[object Arguments]';
+ };
+ if (!_.isArguments(arguments)) {
+ _.isArguments = function(obj) {
+ return !!(obj && _.has(obj, 'callee'));
+ };
+ }
+
+ // Is a given value a function?
+ _.isFunction = function(obj) {
+ return toString.call(obj) == '[object Function]';
+ };
+
+ // Is a given value a string?
+ _.isString = function(obj) {
+ return toString.call(obj) == '[object String]';
+ };
+
+ // Is a given value a number?
+ _.isNumber = function(obj) {
+ return toString.call(obj) == '[object Number]';
+ };
+
+ // Is the given value `NaN`?
+ _.isNaN = function(obj) {
+ // `NaN` is the only value for which `===` is not reflexive.
+ return obj !== obj;
+ };
+
+ // Is a given value a boolean?
+ _.isBoolean = function(obj) {
+ return obj === true || obj === false || toString.call(obj) == '[object Boolean]';
+ };
+
+ // Is a given value a date?
+ _.isDate = function(obj) {
+ return toString.call(obj) == '[object Date]';
+ };
+
+ // Is the given value a regular expression?
+ _.isRegExp = function(obj) {
+ return toString.call(obj) == '[object RegExp]';
+ };
+
+ // Is a given value equal to null?
+ _.isNull = function(obj) {
+ return obj === null;
+ };
+
+ // Is a given variable undefined?
+ _.isUndefined = function(obj) {
+ return obj === void 0;
+ };
+
+ // Has own property?
+ _.has = function(obj, key) {
+ return hasOwnProperty.call(obj, key);
+ };
+
+ // Utility Functions
+ // -----------------
+
+ // Run Underscore.js in *noConflict* mode, returning the `_` variable to its
+ // previous owner. Returns a reference to the Underscore object.
+ _.noConflict = function() {
+ root._ = previousUnderscore;
+ return this;
+ };
+
+ // Keep the identity function around for default iterators.
+ _.identity = function(value) {
+ return value;
+ };
+
+ // Run a function **n** times.
+ _.times = function (n, iterator, context) {
+ for (var i = 0; i < n; i++) iterator.call(context, i);
+ };
+
+ // Escape a string for HTML interpolation.
+ _.escape = function(string) {
+ return (''+string).replace(/&/g, '&').replace(/</g, '<').replace(/>/g, '>').replace(/"/g, '"').replace(/'/g, ''').replace(/\//g,'/');
+ };
+
+ // Add your own custom functions to the Underscore object, ensuring that
+ // they're correctly added to the OOP wrapper as well.
+ _.mixin = function(obj) {
+ each(_.functions(obj), function(name){
+ addToWrapper(name, _[name] = obj[name]);
+ });
+ };
+
+ // Generate a unique integer id (unique within the entire client session).
+ // Useful for temporary DOM ids.
+ var idCounter = 0;
+ _.uniqueId = function(prefix) {
+ var id = idCounter++;
+ return prefix ? prefix + id : id;
+ };
+
+ // By default, Underscore uses ERB-style template delimiters, change the
+ // following template settings to use alternative delimiters.
+ _.templateSettings = {
+ evaluate : /<%([\s\S]+?)%>/g,
+ interpolate : /<%=([\s\S]+?)%>/g,
+ escape : /<%-([\s\S]+?)%>/g
+ };
+
+ // When customizing `templateSettings`, if you don't want to define an
+ // interpolation, evaluation or escaping regex, we need one that is
+ // guaranteed not to match.
+ var noMatch = /.^/;
+
+ // Within an interpolation, evaluation, or escaping, remove HTML escaping
+ // that had been previously added.
+ var unescape = function(code) {
+ return code.replace(/\\\\/g, '\\').replace(/\\'/g, "'");
+ };
+
+ // JavaScript micro-templating, similar to John Resig's implementation.
+ // Underscore templating handles arbitrary delimiters, preserves whitespace,
+ // and correctly escapes quotes within interpolated code.
+ _.template = function(str, data) {
+ var c = _.templateSettings;
+ var tmpl = 'var __p=[],print=function(){__p.push.apply(__p,arguments);};' +
+ 'with(obj||{}){__p.push(\'' +
+ str.replace(/\\/g, '\\\\')
+ .replace(/'/g, "\\'")
+ .replace(c.escape || noMatch, function(match, code) {
+ return "',_.escape(" + unescape(code) + "),'";
+ })
+ .replace(c.interpolate || noMatch, function(match, code) {
+ return "'," + unescape(code) + ",'";
+ })
+ .replace(c.evaluate || noMatch, function(match, code) {
+ return "');" + unescape(code).replace(/[\r\n\t]/g, ' ') + ";__p.push('";
+ })
+ .replace(/\r/g, '\\r')
+ .replace(/\n/g, '\\n')
+ .replace(/\t/g, '\\t')
+ + "');}return __p.join('');";
+ var func = new Function('obj', '_', tmpl);
+ if (data) return func(data, _);
+ return function(data) {
+ return func.call(this, data, _);
+ };
+ };
+
+ // Add a "chain" function, which will delegate to the wrapper.
+ _.chain = function(obj) {
+ return _(obj).chain();
+ };
+
+ // The OOP Wrapper
+ // ---------------
+
+ // If Underscore is called as a function, it returns a wrapped object that
+ // can be used OO-style. This wrapper holds altered versions of all the
+ // underscore functions. Wrapped objects may be chained.
+ var wrapper = function(obj) { this._wrapped = obj; };
+
+ // Expose `wrapper.prototype` as `_.prototype`
+ _.prototype = wrapper.prototype;
+
+ // Helper function to continue chaining intermediate results.
+ var result = function(obj, chain) {
+ return chain ? _(obj).chain() : obj;
+ };
+
+ // A method to easily add functions to the OOP wrapper.
+ var addToWrapper = function(name, func) {
+ wrapper.prototype[name] = function() {
+ var args = slice.call(arguments);
+ unshift.call(args, this._wrapped);
+ return result(func.apply(_, args), this._chain);
+ };
+ };
+
+ // Add all of the Underscore functions to the wrapper object.
+ _.mixin(_);
+
+ // Add all mutator Array functions to the wrapper.
+ each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
+ var method = ArrayProto[name];
+ wrapper.prototype[name] = function() {
+ var wrapped = this._wrapped;
+ method.apply(wrapped, arguments);
+ var length = wrapped.length;
+ if ((name == 'shift' || name == 'splice') && length === 0) delete wrapped[0];
+ return result(wrapped, this._chain);
+ };
+ });
+
+ // Add all accessor Array functions to the wrapper.
+ each(['concat', 'join', 'slice'], function(name) {
+ var method = ArrayProto[name];
+ wrapper.prototype[name] = function() {
+ return result(method.apply(this._wrapped, arguments), this._chain);
+ };
+ });
+
+ // Start chaining a wrapped Underscore object.
+ wrapper.prototype.chain = function() {
+ this._chain = true;
+ return this;
+ };
+
+ // Extracts the result from a wrapped and chained object.
+ wrapper.prototype.value = function() {
+ return this._wrapped;
+ };
+
+}).call(this);
diff --git a/docs/build/html/_static/underscore.js b/docs/build/html/_static/underscore.js
new file mode 100644
index 0000000000000000000000000000000000000000..5b55f32beaca186f84cca115514f02cddbd1bbd5
--- /dev/null
+++ b/docs/build/html/_static/underscore.js
@@ -0,0 +1,31 @@
+// Underscore.js 1.3.1
+// (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
+// Underscore is freely distributable under the MIT license.
+// Portions of Underscore are inspired or borrowed from Prototype,
+// Oliver Steele's Functional, and John Resig's Micro-Templating.
+// For all details and documentation:
+// http://documentcloud.github.com/underscore
+(function(){function q(a,c,d){if(a===c)return a!==0||1/a==1/c;if(a==null||c==null)return a===c;if(a._chain)a=a._wrapped;if(c._chain)c=c._wrapped;if(a.isEqual&&b.isFunction(a.isEqual))return a.isEqual(c);if(c.isEqual&&b.isFunction(c.isEqual))return c.isEqual(a);var e=l.call(a);if(e!=l.call(c))return false;switch(e){case "[object String]":return a==String(c);case "[object Number]":return a!=+a?c!=+c:a==0?1/a==1/c:a==+c;case "[object Date]":case "[object Boolean]":return+a==+c;case "[object RegExp]":return a.source==
+c.source&&a.global==c.global&&a.multiline==c.multiline&&a.ignoreCase==c.ignoreCase}if(typeof a!="object"||typeof c!="object")return false;for(var f=d.length;f--;)if(d[f]==a)return true;d.push(a);var f=0,g=true;if(e=="[object Array]"){if(f=a.length,g=f==c.length)for(;f--;)if(!(g=f in a==f in c&&q(a[f],c[f],d)))break}else{if("constructor"in a!="constructor"in c||a.constructor!=c.constructor)return false;for(var h in a)if(b.has(a,h)&&(f++,!(g=b.has(c,h)&&q(a[h],c[h],d))))break;if(g){for(h in c)if(b.has(c,
+h)&&!f--)break;g=!f}}d.pop();return g}var r=this,G=r._,n={},k=Array.prototype,o=Object.prototype,i=k.slice,H=k.unshift,l=o.toString,I=o.hasOwnProperty,w=k.forEach,x=k.map,y=k.reduce,z=k.reduceRight,A=k.filter,B=k.every,C=k.some,p=k.indexOf,D=k.lastIndexOf,o=Array.isArray,J=Object.keys,s=Function.prototype.bind,b=function(a){return new m(a)};if(typeof exports!=="undefined"){if(typeof module!=="undefined"&&module.exports)exports=module.exports=b;exports._=b}else r._=b;b.VERSION="1.3.1";var j=b.each=
+b.forEach=function(a,c,d){if(a!=null)if(w&&a.forEach===w)a.forEach(c,d);else if(a.length===+a.length)for(var e=0,f=a.length;e<f;e++){if(e in a&&c.call(d,a[e],e,a)===n)break}else for(e in a)if(b.has(a,e)&&c.call(d,a[e],e,a)===n)break};b.map=b.collect=function(a,c,b){var e=[];if(a==null)return e;if(x&&a.map===x)return a.map(c,b);j(a,function(a,g,h){e[e.length]=c.call(b,a,g,h)});if(a.length===+a.length)e.length=a.length;return e};b.reduce=b.foldl=b.inject=function(a,c,d,e){var f=arguments.length>2;a==
+null&&(a=[]);if(y&&a.reduce===y)return e&&(c=b.bind(c,e)),f?a.reduce(c,d):a.reduce(c);j(a,function(a,b,i){f?d=c.call(e,d,a,b,i):(d=a,f=true)});if(!f)throw new TypeError("Reduce of empty array with no initial value");return d};b.reduceRight=b.foldr=function(a,c,d,e){var f=arguments.length>2;a==null&&(a=[]);if(z&&a.reduceRight===z)return e&&(c=b.bind(c,e)),f?a.reduceRight(c,d):a.reduceRight(c);var g=b.toArray(a).reverse();e&&!f&&(c=b.bind(c,e));return f?b.reduce(g,c,d,e):b.reduce(g,c)};b.find=b.detect=
+function(a,c,b){var e;E(a,function(a,g,h){if(c.call(b,a,g,h))return e=a,true});return e};b.filter=b.select=function(a,c,b){var e=[];if(a==null)return e;if(A&&a.filter===A)return a.filter(c,b);j(a,function(a,g,h){c.call(b,a,g,h)&&(e[e.length]=a)});return e};b.reject=function(a,c,b){var e=[];if(a==null)return e;j(a,function(a,g,h){c.call(b,a,g,h)||(e[e.length]=a)});return e};b.every=b.all=function(a,c,b){var e=true;if(a==null)return e;if(B&&a.every===B)return a.every(c,b);j(a,function(a,g,h){if(!(e=
+e&&c.call(b,a,g,h)))return n});return e};var E=b.some=b.any=function(a,c,d){c||(c=b.identity);var e=false;if(a==null)return e;if(C&&a.some===C)return a.some(c,d);j(a,function(a,b,h){if(e||(e=c.call(d,a,b,h)))return n});return!!e};b.include=b.contains=function(a,c){var b=false;if(a==null)return b;return p&&a.indexOf===p?a.indexOf(c)!=-1:b=E(a,function(a){return a===c})};b.invoke=function(a,c){var d=i.call(arguments,2);return b.map(a,function(a){return(b.isFunction(c)?c||a:a[c]).apply(a,d)})};b.pluck=
+function(a,c){return b.map(a,function(a){return a[c]})};b.max=function(a,c,d){if(!c&&b.isArray(a))return Math.max.apply(Math,a);if(!c&&b.isEmpty(a))return-Infinity;var e={computed:-Infinity};j(a,function(a,b,h){b=c?c.call(d,a,b,h):a;b>=e.computed&&(e={value:a,computed:b})});return e.value};b.min=function(a,c,d){if(!c&&b.isArray(a))return Math.min.apply(Math,a);if(!c&&b.isEmpty(a))return Infinity;var e={computed:Infinity};j(a,function(a,b,h){b=c?c.call(d,a,b,h):a;b<e.computed&&(e={value:a,computed:b})});
+return e.value};b.shuffle=function(a){var b=[],d;j(a,function(a,f){f==0?b[0]=a:(d=Math.floor(Math.random()*(f+1)),b[f]=b[d],b[d]=a)});return b};b.sortBy=function(a,c,d){return b.pluck(b.map(a,function(a,b,g){return{value:a,criteria:c.call(d,a,b,g)}}).sort(function(a,b){var c=a.criteria,d=b.criteria;return c<d?-1:c>d?1:0}),"value")};b.groupBy=function(a,c){var d={},e=b.isFunction(c)?c:function(a){return a[c]};j(a,function(a,b){var c=e(a,b);(d[c]||(d[c]=[])).push(a)});return d};b.sortedIndex=function(a,
+c,d){d||(d=b.identity);for(var e=0,f=a.length;e<f;){var g=e+f>>1;d(a[g])<d(c)?e=g+1:f=g}return e};b.toArray=function(a){return!a?[]:a.toArray?a.toArray():b.isArray(a)?i.call(a):b.isArguments(a)?i.call(a):b.values(a)};b.size=function(a){return b.toArray(a).length};b.first=b.head=function(a,b,d){return b!=null&&!d?i.call(a,0,b):a[0]};b.initial=function(a,b,d){return i.call(a,0,a.length-(b==null||d?1:b))};b.last=function(a,b,d){return b!=null&&!d?i.call(a,Math.max(a.length-b,0)):a[a.length-1]};b.rest=
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+<li class="toctree-l1"><a class="reference internal" href="modules.html">Binarycpython code</a></li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Binary_c parameters</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#section-stars">Section: stars</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#section-binary">Section: binary</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#section-nucsyn">Section: nucsyn</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#section-output">Section: output</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#section-input">Section: input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#section-i-o">Section: i/o</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#section-algorithms">Section: algorithms</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#section-misc">Section: misc</a></li>
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+ <div class="section" id="binary-c-parameters">
+<h1>Binary_c parameters<a class="headerlink" href="#binary-c-parameters" title="Permalink to this headline">¶</a></h1>
+<p>The following chapter contains all the parameters that the current version of binary_c can handle, along with their descriptions and other properties.</p>
+<dl class="simple">
+<dt>This information was obtained by the following binary_c build:</dt><dd><p><strong>binary_c git branch</strong>: branch_david <strong>binary_c git revision</strong>: 6044:20210720:d1ed5b6c1 <strong>Built on</strong>: Jul 20 2021 13:54:45</p>
+</dd>
+</dl>
+<div class="section" id="section-stars">
+<h2>Section: stars<a class="headerlink" href="#section-stars" title="Permalink to this headline">¶</a></h2>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: metallicity</div>
+<div class="line"><strong>Description</strong>: This sets the metallicity of the stars, i.e. the amount (by mass) of matter which is not hydrogen or helium. If you are using the BSE algorithm, this must be 1e-4 <= metallicity <= 0.03. See also nucsyn_metallicity and effective_metallicity.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.02</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: effective_metallicity</div>
+<div class="line"><strong>Description</strong>: This sets effective metallicity of stars as used in routines like the Schneider wind loss. If not set, or set to DEFAULT_TO_METALLICITY (==-1, the default), this is just the same as metallicity. The main difference between effective_metallicity and metallicity is the range of validity: 0 <= effective_metallicity <= 1, while metallicity’s range of validity is limited by the stellar evolution algorithm (so, for BSE, is 1e-4 <= metallicity <= 0.03).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘DEFAULT_TO_METALLICITY = -1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: M_1</div>
+<div class="line"><strong>Description</strong>: The initial mass of star one (in solar units, internally this is star index 0).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: M_2</div>
+<div class="line"><strong>Description</strong>: The initial mass of star two (in solar units, internally this is star index 1).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: M_3</div>
+<div class="line"><strong>Description</strong>: The initial mass of star three (in solar units, internally this is star index 2).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: M_4</div>
+<div class="line"><strong>Description</strong>: The initial mass of star four (in solar units, internally this is star index 3).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: vrot1</div>
+<div class="line"><strong>Description</strong>: The initial equatorial rotational velocity of star one (in km/s, internally this is star index 0). If 0.0, the Hurley et al 2000/2002 prescription is used to set the main-sequence velocity, so for a truly non-rotating star, set to something small (e.g. 0.001). See also vrot2,3,4.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘VROT_BSE = 0’, ‘VROT_BREAKUP = -1’, ‘VROT_SYNC = -2’, ‘VROT_NON_ROTATING = -3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: vrot2</div>
+<div class="line"><strong>Description</strong>: The initial equatorial rotational velocity of star two (in km/s, internally this is star index 1). If 0.0, the Hurley et al 2000/2002 prescription is used to set the main-sequence velocity, so for a truly non-rotating star, set to something small (e.g. 0.001). See also vrot1,3,4.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘VROT_BSE = 0’, ‘VROT_BREAKUP = -1’, ‘VROT_SYNC = -2’, ‘VROT_NON_ROTATING = -3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: vrot3</div>
+<div class="line"><strong>Description</strong>: The initial equatorial rotational velocity of star three (in km/s, internally this is star index 2). If 0.0, the Hurley et al 2000/2002 prescription is used to set the main-sequence velocity, so for a truly non-rotating star, set to something small (e.g. 0.001). See also vrot1,2,4.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘VROT_BSE = 0’, ‘VROT_BREAKUP = -1’, ‘VROT_SYNC = -2’, ‘VROT_NON_ROTATING = -3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: vrot4</div>
+<div class="line"><strong>Description</strong>: The initial equatorial rotational velocity of star four (in km/s, internally this is star index 3). If 0.0, the Hurley et al 2000/2002 prescription is used to set the main-sequence velocity, so for a truly non-rotating star, set to something small (e.g. 0.001). See also vrot1,2,3.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘VROT_BSE = 0’, ‘VROT_BREAKUP = -1’, ‘VROT_SYNC = -2’, ‘VROT_NON_ROTATING = -3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: Prot1</div>
+<div class="line"><strong>Description</strong>: The initial equatorial rotational velocity of star one (in km/s, internally this is star index 0). See also Prot2,3,4.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: Prot2</div>
+<div class="line"><strong>Description</strong>: The initial equatorial rotational velocity of star two (in km/s, internally this is star index 1). See also Prot1,3,4.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: Prot3</div>
+<div class="line"><strong>Description</strong>: The initial equatorial rotational period of star three (in days, internally this is star index 2). See also Prot1,2,4.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: Prot4</div>
+<div class="line"><strong>Description</strong>: The initial equatorial rotational period of star four (in days, internally this is star index 3). See also Prot1,2,3.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: inclination1</div>
+<div class="line"><strong>Description</strong>: The initial inclination of star one (in degrees).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: inclination2</div>
+<div class="line"><strong>Description</strong>: The initial inclination of star two (in degrees).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: inclination3</div>
+<div class="line"><strong>Description</strong>: The initial inclination of star three (in degrees).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: inclination4</div>
+<div class="line"><strong>Description</strong>: The initial inclination of star four (in degrees).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: B_1</div>
+<div class="line"><strong>Description</strong>: The initial magnetic field of star one (in Gauss, internally this is star index 0).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: B_2</div>
+<div class="line"><strong>Description</strong>: The initial magnetic field of star two (in Gauss, internally this is star index 1).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: B_3</div>
+<div class="line"><strong>Description</strong>: The initial magnetic field of star three (in Gauss, internally this is star index 2).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: B_4</div>
+<div class="line"><strong>Description</strong>: The initial magnetic field of star four (in Gauss, internally this is star index 3).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: B_inclination1</div>
+<div class="line"><strong>Description</strong>: The initial inclination of the magnetic field of star one (in degrees).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: B_inclination2</div>
+<div class="line"><strong>Description</strong>: The initial inclination of the magnetic field of star two (in degrees).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: B_inclination3</div>
+<div class="line"><strong>Description</strong>: The initial inclination of the magnetic field of star three (in degrees).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: B_inclination4</div>
+<div class="line"><strong>Description</strong>: The initial inclination of the magnetic field of star four (in degrees).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: stellar_type_1</div>
+<div class="line"><strong>Description</strong>: Set the stellar type of star 1 (internal index 0), usually MAIN_SEQUENCE (main sequence). Note that setting the stellar type only works for stars with both age=0 and core_mass=0, i.e. main sequence (hydrogen or helium), white dwarfs, black holes and neutrn stars.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’, ‘LOW_MASS_MAIN_SEQUENCE = 0’, ‘MAIN_SEQUENCE = 1’, ‘HERTZSPRUNG_GAP = 2’, ‘FIRST_GIANT_BRANCH = 3’, ‘CORE_HELIUM_BURNING = 4’, ‘EARLY_ASYMPTOTIC_GIANT_BRANCH = 5’, ‘THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6’, ‘NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7’, ‘NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8’, ‘NAKED_HELIUM_STAR_GIANT_BRANCH = 9’, ‘HELIUM_WHITE_DWARF = 10’, ‘CARBON_OXYGEN_WHITE_DWARF = 11’, ‘OXYGEN_NEON_WHITE_DWARF = 12’, ‘NEUTRON_STAR = 13’, ‘BLACK_HOLE = 14’, ‘STAR_WITH_NO_MASS = 15’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: stellar_type_2</div>
+<div class="line"><strong>Description</strong>: Set the stellar type of star 2 (internal index 1), usually MAIN_SEQUENCE (main sequence). Note that setting the stellar type only works for stars with both age=0 and core_mass=0, i.e. main sequence (hydrogen or helium), white dwarfs, black holes and neutrn stars.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’, ‘LOW_MASS_MAIN_SEQUENCE = 0’, ‘MAIN_SEQUENCE = 1’, ‘HERTZSPRUNG_GAP = 2’, ‘FIRST_GIANT_BRANCH = 3’, ‘CORE_HELIUM_BURNING = 4’, ‘EARLY_ASYMPTOTIC_GIANT_BRANCH = 5’, ‘THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6’, ‘NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7’, ‘NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8’, ‘NAKED_HELIUM_STAR_GIANT_BRANCH = 9’, ‘HELIUM_WHITE_DWARF = 10’, ‘CARBON_OXYGEN_WHITE_DWARF = 11’, ‘OXYGEN_NEON_WHITE_DWARF = 12’, ‘NEUTRON_STAR = 13’, ‘BLACK_HOLE = 14’, ‘STAR_WITH_NO_MASS = 15’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: stellar_type_3</div>
+<div class="line"><strong>Description</strong>: Set the stellar type of star 3 (internal index 2), usually MAIN_SEQUENCE (main sequence). Note that setting the stellar type only works for stars with both age=0 and core_mass=0, i.e. main sequence (hydrogen or helium), white dwarfs, black holes and neutrn stars.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’, ‘LOW_MASS_MAIN_SEQUENCE = 0’, ‘MAIN_SEQUENCE = 1’, ‘HERTZSPRUNG_GAP = 2’, ‘FIRST_GIANT_BRANCH = 3’, ‘CORE_HELIUM_BURNING = 4’, ‘EARLY_ASYMPTOTIC_GIANT_BRANCH = 5’, ‘THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6’, ‘NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7’, ‘NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8’, ‘NAKED_HELIUM_STAR_GIANT_BRANCH = 9’, ‘HELIUM_WHITE_DWARF = 10’, ‘CARBON_OXYGEN_WHITE_DWARF = 11’, ‘OXYGEN_NEON_WHITE_DWARF = 12’, ‘NEUTRON_STAR = 13’, ‘BLACK_HOLE = 14’, ‘STAR_WITH_NO_MASS = 15’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: stellar_type_4</div>
+<div class="line"><strong>Description</strong>: Set the stellar type of star 4 (internal index 3), usually MAIN_SEQUENCE (main sequence). Note that setting the stellar type only works for stars with both age=0 and core_mass=0, i.e. main sequence (hydrogen or helium), white dwarfs, black holes and neutrn stars.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’, ‘LOW_MASS_MAIN_SEQUENCE = 0’, ‘MAIN_SEQUENCE = 1’, ‘HERTZSPRUNG_GAP = 2’, ‘FIRST_GIANT_BRANCH = 3’, ‘CORE_HELIUM_BURNING = 4’, ‘EARLY_ASYMPTOTIC_GIANT_BRANCH = 5’, ‘THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6’, ‘NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7’, ‘NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8’, ‘NAKED_HELIUM_STAR_GIANT_BRANCH = 9’, ‘HELIUM_WHITE_DWARF = 10’, ‘CARBON_OXYGEN_WHITE_DWARF = 11’, ‘OXYGEN_NEON_WHITE_DWARF = 12’, ‘NEUTRON_STAR = 13’, ‘BLACK_HOLE = 14’, ‘STAR_WITH_NO_MASS = 15’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: max_stellar_type_1</div>
+<div class="line"><strong>Description</strong>: The maximum stellar type of star 1 (internal index 0). Evolution is stopped when the star reaches this stellar type. If this is negative, massless remnants are allowed, and the maximum stellar type is the absolute value.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 16</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’, ‘LOW_MASS_MAIN_SEQUENCE = 0’, ‘MAIN_SEQUENCE = 1’, ‘HERTZSPRUNG_GAP = 2’, ‘FIRST_GIANT_BRANCH = 3’, ‘CORE_HELIUM_BURNING = 4’, ‘EARLY_ASYMPTOTIC_GIANT_BRANCH = 5’, ‘THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6’, ‘NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7’, ‘NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8’, ‘NAKED_HELIUM_STAR_GIANT_BRANCH = 9’, ‘HELIUM_WHITE_DWARF = 10’, ‘CARBON_OXYGEN_WHITE_DWARF = 11’, ‘OXYGEN_NEON_WHITE_DWARF = 12’, ‘NEUTRON_STAR = 13’, ‘BLACK_HOLE = 14’, ‘STAR_WITH_NO_MASS = 15’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: max_stellar_type_2</div>
+<div class="line"><strong>Description</strong>: The maximum stellar type of star 2 (internal index 1). Evolution is stopped when the star reaches this stellar type. If this is negative, massless remnants are allowed, and the maximum stellar type is the absolute value.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 16</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’, ‘LOW_MASS_MAIN_SEQUENCE = 0’, ‘MAIN_SEQUENCE = 1’, ‘HERTZSPRUNG_GAP = 2’, ‘FIRST_GIANT_BRANCH = 3’, ‘CORE_HELIUM_BURNING = 4’, ‘EARLY_ASYMPTOTIC_GIANT_BRANCH = 5’, ‘THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6’, ‘NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7’, ‘NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8’, ‘NAKED_HELIUM_STAR_GIANT_BRANCH = 9’, ‘HELIUM_WHITE_DWARF = 10’, ‘CARBON_OXYGEN_WHITE_DWARF = 11’, ‘OXYGEN_NEON_WHITE_DWARF = 12’, ‘NEUTRON_STAR = 13’, ‘BLACK_HOLE = 14’, ‘STAR_WITH_NO_MASS = 15’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: max_stellar_type_3</div>
+<div class="line"><strong>Description</strong>: The maximum stellar type of star 3 (internal index 2). Evolution is stopped when the star reaches this stellar type. If this is negative, massless remnants are allowed, and the maximum stellar type is the absolute value.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 16</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’, ‘LOW_MASS_MAIN_SEQUENCE = 0’, ‘MAIN_SEQUENCE = 1’, ‘HERTZSPRUNG_GAP = 2’, ‘FIRST_GIANT_BRANCH = 3’, ‘CORE_HELIUM_BURNING = 4’, ‘EARLY_ASYMPTOTIC_GIANT_BRANCH = 5’, ‘THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6’, ‘NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7’, ‘NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8’, ‘NAKED_HELIUM_STAR_GIANT_BRANCH = 9’, ‘HELIUM_WHITE_DWARF = 10’, ‘CARBON_OXYGEN_WHITE_DWARF = 11’, ‘OXYGEN_NEON_WHITE_DWARF = 12’, ‘NEUTRON_STAR = 13’, ‘BLACK_HOLE = 14’, ‘STAR_WITH_NO_MASS = 15’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: max_stellar_type_4</div>
+<div class="line"><strong>Description</strong>: The maximum stellar type of star 4 (internal index 3). Evolution is stopped when the star reaches this stellar type. If this is negative, massless remnants are allowed, and the maximum stellar type is the absolute value.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 16</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’, ‘LOW_MASS_MAIN_SEQUENCE = 0’, ‘MAIN_SEQUENCE = 1’, ‘HERTZSPRUNG_GAP = 2’, ‘FIRST_GIANT_BRANCH = 3’, ‘CORE_HELIUM_BURNING = 4’, ‘EARLY_ASYMPTOTIC_GIANT_BRANCH = 5’, ‘THERMALLY_PULSING_ASYMPTOTIC_GIANT_BRANCH = 6’, ‘NAKED_MAIN_SEQUENCE_HELIUM_STAR = 7’, ‘NAKED_HELIUM_STAR_HERTZSPRUNG_GAP = 8’, ‘NAKED_HELIUM_STAR_GIANT_BRANCH = 9’, ‘HELIUM_WHITE_DWARF = 10’, ‘CARBON_OXYGEN_WHITE_DWARF = 11’, ‘OXYGEN_NEON_WHITE_DWARF = 12’, ‘NEUTRON_STAR = 13’, ‘BLACK_HOLE = 14’, ‘STAR_WITH_NO_MASS = 15’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: probability</div>
+<div class="line"><strong>Description</strong>: The probability is a weighting applied to the star based on, say, the initial mass function. When running a grid of stars to simulate <em>all</em> stars, the summed probability of all the stars should be 1.0.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: phasevol</div>
+<div class="line"><strong>Description</strong>: The system’s phase volume, used by binary_grid.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: stellar_structure_algorithm</div>
+<div class="line"><strong>Description</strong>: Set the stellar structure algorithm. 0=modified BSE (default), 1=none, 2=external function (must be defined by the calling code), 3=binary_c (not yet implemented).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘STELLAR_STRUCTURE_ALGORITHM_MODIFIED_BSE = 0’, ‘STELLAR_STRUCTURE_ALGORITHM_NONE = 1’, ‘STELLAR_STRUCTURE_ALGORITHM_EXTERNAL_FUNCTION = 2’, ‘STELLAR_STRUCTURE_ALGORITHM_MINT = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: solver</div>
+<div class="line"><strong>Description</strong>: The type of solver. Default is the Forward-Euler (0), but could be RK2 (1), RK4 (2) or a predictor-corretor (3).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SOLVER_FORWARD_EULER = 0’, ‘SOLVER_RK2 = 1’, ‘SOLVER_RK4 = 2’, ‘SOLVER_PREDICTOR_CORRECTOR = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: max_evolution_time</div>
+<div class="line"><strong>Description</strong>: Set the maximum age for the stars (Myr).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 15000</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: max_model_number</div>
+<div class="line"><strong>Description</strong>: Set the maximum number of models, ignored if 0 (default is 0).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: monte_carlo_kicks</div>
+<div class="line"><strong>Description</strong>: Turn on Monte-Carlo SN kicks. On (True) by default, and indeed other algorithms are probably broken.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: True</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disable_debug</div>
+<div class="line"><strong>Description</strong>: Disables debug output. Only has an effect when DEBUG is 1, which probably requires a rebuild. Default FALSE.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: timestep_logging</div>
+<div class="line"><strong>Description</strong>: Turn on timestep logging (default is False).</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: rejects_in_log</div>
+<div class="line"><strong>Description</strong>: Show timestep rejections in the main log (default is False).</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: vandenHeuvel_logging</div>
+<div class="line"><strong>Description</strong>: Turn on van den Heuvel logging (default is False).</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: evolution_splitting</div>
+<div class="line"><strong>Description</strong>: If True, turn on splitting of an evolutionary run if splitpoint (e.g. supernova) occurs.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disable_events</div>
+<div class="line"><strong>Description</strong>: Whether to disable the new events code (defaults to False, so we use events by default)</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: evolution_splitting_sn_eccentricity_threshold</div>
+<div class="line"><strong>Description</strong>: Threshold eccentricity above which evolution splitting happens in a system with no SN kick. (0.01)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.01</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: evolution_splitting_sn_n</div>
+<div class="line"><strong>Description</strong>: Number of runs to split into when a SN occurs.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 10</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: evolution_splitting_maxdepth</div>
+<div class="line"><strong>Description</strong>: Max number of splits in an evolutionary run.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 2</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: equation_of_state_algorithm</div>
+<div class="line"><strong>Description</strong>: Set the equation of state algorithm. 0 = Paczynski.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Macros</strong>: [‘EQUATION_OF_STATE_PACZYNSKI = 0’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: opacity_algorithm</div>
+<div class="line"><strong>Description</strong>: Set the opacity algorithm. 0 = Paczynski, 1 = Ferguson/Opal.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Macros</strong>: [‘OPACITY_ALGORITHM_PACZYNSKI = 0’, ‘OPACITY_ALGORITHM_FERGUSON_OPAL = 1’, ‘OPACITY_ALGORITHM_STARS = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_mass_loss</div>
+<div class="line"><strong>Description</strong>: Defines the algorithm used for stellar winds. 0 = none, 1 = Hurley et al. (2002), 2 = Schneider (2018).</div>
+<div class="line"><strong>Parameter input type</strong>: Unsigned integer</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+<div class="line"><strong>Macros</strong>: [‘WIND_ALGORITHM_NONE = 0’, ‘WIND_ALGORITHM_HURLEY2002 = 1’, ‘WIND_ALGORITHM_SCHNEIDER2018 = 2’, ‘WIND_ALGORITHM_BINARY_C_2020 = 3’]</div>
+<div class="line"><strong>Extra</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gbwind</div>
+<div class="line"><strong>Description</strong>: Wind prescription for first red giant branch stars. 0=Reimers (Hurley et al 2000/2002; choose gb_reimers_eta=0.5 for their mass loss rate), 1=Schroeder+Cuntz 2005 (set gb_reimers_eta=1.0 for their mass loss rate).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘GB_WIND_REIMERS = 0’, ‘GB_WIND_SCHROEDER_CUNTZ_2005 = 1’, ‘GB_WIND_GOLDMAN_ETAL_2017 = 2’, ‘GB_WIND_BEASOR_ETAL_2020 = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: mattsson_Orich_tpagbwind</div>
+<div class="line"><strong>Description</strong>: Experimental: turns on Mattsson’s TPAGB wind when the star is oxygen rich. Requires MATTSSON_MASS_LOSS.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: magnetic_braking_factor</div>
+<div class="line"><strong>Description</strong>: Multiplier for the magnetic braking angular momentum loss rate.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: magnetic_braking_gamma</div>
+<div class="line"><strong>Description</strong>: gamma factor in Rappaport style magnetic braking expression.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: magnetic_braking_algorithm</div>
+<div class="line"><strong>Description</strong>: Algorithm for the magnetic braking angular momentum loss rate. 0 = Hurley et al. 2002, 1 = Andronov, Pinnsonneault and Sills 2003, 2 = Barnes and Kim 2010</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘MAGNETIC_BRAKING_ALGORITHM_HURLEY_2002 = 0’, ‘MAGNETIC_BRAKING_ALGORITHM_ANDRONOV_2003 = 1’, ‘MAGNETIC_BRAKING_ALGORITHM_BARNES_2010 = 2’, ‘MAGNETIC_BRAKING_ALGORITHM_RAPPAPORT_1983 = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: helium_flash_mass_loss</div>
+<div class="line"><strong>Description</strong>: Mass to be lost at the helium flash.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gb_reimers_eta</div>
+<div class="line"><strong>Description</strong>: First red giant branch wind multiplication factor, cf. eta in Reimers’ mass loss formula. (This multiplies the 4e-13 in Reimers’ formula, or the 8e-14 in Schroeder and Cuntz.)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.4</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gbwindfac</div>
+<div class="line"><strong>Description</strong>: Multiplier for the giant branch wind mass loss rate</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: tpagbwindfac</div>
+<div class="line"><strong>Description</strong>: Multiplier for the TPAGB wind mass loss rate</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: eagbwindfac</div>
+<div class="line"><strong>Description</strong>: Multiplier for the EAGB wind mass loss rate</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nieuwenhuijzen_windfac</div>
+<div class="line"><strong>Description</strong>: Multiplier for the Nieuwenhuijzen & de Jager wind mass loss rate</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: tpagbwind</div>
+<div class="line"><strong>Description</strong>: Wind prescription during the TPAGB. 0=Karakas 2002 (a modified Vassiliadis and Wood 1993), 1=Hurley et al 2000/2002 (Vassiliadis and Wood 1993), 2=Reimers, 3=Bloecker, 4=Van Loon, 5=Rob’s C-wind (broken?), 6,7=Vassiliadis and Wood 1993 (Karakas,Hurley variants respectively) when C/O>1, 8=Mattsson, 9 = Goldman et al. (2017), 10 = Beasor et al. (2020).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘TPAGB_WIND_VW93_KARAKAS = 0’, ‘TPAGB_WIND_VW93_ORIG = 1’, ‘TPAGB_WIND_REIMERS = 2’, ‘TPAGB_WIND_BLOECKER = 3’, ‘TPAGB_WIND_VAN_LOON = 4’, ‘TPAGB_WIND_ROB_CWIND = 5’, ‘TPAGB_WIND_VW93_KARAKAS_CARBON_STARS = 6’, ‘TPAGB_WIND_VW93_ORIG_CARBON_STARS = 7’, ‘TPAGB_WIND_MATTSSON = 8’, ‘TPAGB_WIND_GOLDMAN_ETAL_2017 = 9’, ‘TPAGB_WIND_BEASOR_ETAL_2020 = 10’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: eagbwind</div>
+<div class="line"><strong>Description</strong>: Wind prescription during the EAGB. 0=BSE (Hurley+2002, based on VW93), 1 = Goldman et al. (2017), 2 = Beasor et al. (2020).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘EAGB_WIND_BSE = 0’, ‘EAGB_WIND_GOLDMAN_ETAL_2017 = 1’, ‘EAGB_WIND_BEASOR_ETAL_2020 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_gas_to_dust_ratio</div>
+<div class="line"><strong>Description</strong>: Gas to dust ratio used in wind calculations (e.g. Goldman et al. 2017). Typically 200 (Milky Way)-500 (Magellanic Clouds). Default is 200, approximately as in MW stars.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 200</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: vwind_multiplier</div>
+<div class="line"><strong>Description</strong>: Multiplier for the stellar wind velocity.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: vwind_beta</div>
+<div class="line"><strong>Description</strong>: Beta for stellar wind speed calculations, where vwind=sqrt(beta) * escape velocity. Default 0.125 (from BSE, Hurley et al. 2002).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.125</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: superwind_mira_switchon</div>
+<div class="line"><strong>Description</strong>: In the Vassiliadis and Wood (1993) AGB wind prescription, the superwind is turned on at a given Mira period, usually 500 days. You can vary when this switch-on happens with this parameter.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 500</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: vw93_mira_shift</div>
+<div class="line"><strong>Description</strong>: In the Vassiliadis and Wood (1993) AGB wind prescription, the wind loss rate depends on the Mira period plus this offset. Requires VW93_MIRA_SHIFT.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: vw93_multiplier</div>
+<div class="line"><strong>Description</strong>: In the Vassiliadis and Wood (1993) AGB wind prescription, the wind loss rate is multiplied by this factor. Requires VW93_MULTIPLIER.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: tpagb_reimers_eta</div>
+<div class="line"><strong>Description</strong>: TPAGB Reimers wind multiplication factor, cf. eta in Reimers’ mass loss formula. (This multiplies the 4e-13 in Reimers’ formula, or the 8e-14 in Schroeder and Cuntz.) Note that Reimers is not the default TPAGB wind prescription. See also tpagbwind.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: artificial_mass_accretion_rate%d</div>
+<div class="line"><strong>Description</strong>: Constant mass accretion rate for star <n>.</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: artificial_angular_momentum_accretion_rate%d</div>
+<div class="line"><strong>Description</strong>: Constant angular momentum accretion for star <n>.</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: artificial_orbital_angular_momentum_accretion_rate</div>
+<div class="line"><strong>Description</strong>: Constant angular momentum accretion rate on the orbit.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: artificial_accretion_start_time</div>
+<div class="line"><strong>Description</strong>: Time at which artificial accretion stars. Ignored if <0 (default is -1).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘ARTIFICIAL_ACCRETION_IGNORE = -1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: artificial_accretion_end_time</div>
+<div class="line"><strong>Description</strong>: Time at which artificial accretion ends. Ignored if <0 (default is -1).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘ARTIFICIAL_ACCRETION_IGNORE = -1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wr_wind</div>
+<div class="line"><strong>Description</strong>: Massive-star (WR) wind prescription. 0 = Hurley et al 2000/2002, 1=Maeder and Meynet, 2=Nugis and Lamers, 3=John Eldridge’s version of Vink’s early-2000s wind (See Lynnette Dray’s thesis, or John Eldridge’s thesis)</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘WR_WIND_BSE = 0’, ‘WR_WIND_MAEDER_MEYNET = 1’, ‘WR_WIND_NUGIS_LAMERS = 2’, ‘WR_WIND_ELDRIDGE = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wr_wind_fac</div>
+<div class="line"><strong>Description</strong>: Massive-star (WR) wind multiplication factor.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wrwindfac</div>
+<div class="line"><strong>Description</strong>: Massive-star (WR) wind multiplication factor. Synonymous with wr_wind_fac (which you should use instead).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: BH_prescription</div>
+<div class="line"><strong>Description</strong>: Black hole mass prescrition: relates the mass of a newly formed black hole to its progenitor’s (CO) core mass. 0=Hurley et al 2000/2002, 1=Belczynski (early 2000s).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘BH_HURLEY2002 = 0’, ‘BH_BELCZYNSKI = 1’, ‘BH_SPERA2015 = 2’, ‘BH_FRYER12_DELAYED = 3’, ‘BH_FRYER12_RAPID = 4’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PPISN_prescription</div>
+<div class="line"><strong>Description</strong>: (Pulsational) Pair-Instability Supernova prescription: Relates initial helium core mass of star to whether the star undergoes PPISN or PISN. Requires PPISN flag to be True (see binary_c_parameters.h). 0=no ppisn, 1=Farmer et al 2019.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘PPISN_NONE = 0’, ‘PPISN_FARMER19 = 1’]</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_II</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to kick type II core collapse supernova systems. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_ECAP</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to the remnants of electron-capture supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_NS_NS</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to kick neutron stars and black holes that survive a NS-NS merger. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_IBC</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to kick newly-born neutron stars and black holes after a type Ib/c core-collapse supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_GRB_COLLAPSAR</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to kick newly-born neutron stars and black holes after a type Ib/c core-collapse supernova which is also a collapsar. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_TZ</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to kick newly-born neutron stars and black holes at the death of a Thorne-Zytkow object. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_AIC_BH</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to kick newly-born neutron stars black holes after accretion induced collapse of a neutron star. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_BH_BH</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to black holes formed by the merger of two black holes. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_BH_NS</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to black holes formed by the merger of a neutron star and a black holes. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_IA_Hybrid_HeCOWD</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to any survivor of a hybrid He-COWD SNIa explosion. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_IA_Hybrid_HeCOWD_subluminous</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to any survivor of a subluminous hybrid He-COWD SNIa explosion. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_PPISN</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to PPISN supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_PISN</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to PISN supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_distribution_PHDIS</div>
+<div class="line"><strong>Description</strong>: Set the distribution of speeds applied to PHDIS supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_VELOCITY_FIXED = 0’, ‘KICK_VELOCITY_MAXWELLIAN = 1’, ‘KICK_VELOCITY_CUSTOM = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_II</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to kick type II core collapse supernova systems. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 190</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_ECAP</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to the remnants of electron-capture supernovae. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_NS_NS</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to kick neutron stars and black holes that survive a NS-NS merger. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_IBC</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to kick newly-born neutron stars and black holes after a type Ib/c core-collapse supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 190</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_GRB_COLLAPSAR</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to kick newly-born neutron stars and black holes after a type Ib/c core-collapse supernova which is also a collapsar. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_TZ</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to kick newly-born neutron stars and black holes at the death of a Thorne-Zytkow object. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_AIC_BH</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to kick newly-born neutron stars black holes after accretion induced collapse of a neutron star. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_BH_BH</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to black holes formed by the merger of two black holes. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_BH_NS</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to black holes formed by the merger of a neutron star and a black holes. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_IA_Hybrid_HeCOWD</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to the survivor of a SNIa explosion of a hybrid He-COWD. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_IA_Hybrid_HeCOWD_subluminous</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to the survivor of a subluminous SNIa explosion of a hybrid He-COWD. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_PPISN</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to the survivor of a PPISN supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 190</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_PISN</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to the survivor of a PISN supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_dispersion_PHDIS</div>
+<div class="line"><strong>Description</strong>: Set the dispersion of speeds applied to the survivor of a PHDIS supernova. 0=fixed, 1=maxwellian (hurley/BSE), 2=custom function (see monte_carlo_kicks.c).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_IA_He</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia He supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_IA_ELD</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia ELD (sub-Mch) supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_IA_CHAND</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia Mch supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_AIC</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when an accretion induced collapse (supernova) occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_ECAP</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when an electron capture supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_IA_He_Coal</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia helium merger supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_IA_CHAND_Coal</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Ia Mch merger supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_NS_NS</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a neutron-star neutron-star merger. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_GRB_COLLAPSAR</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a GRB Collapsar (rapidly rotating SN Ibc) supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_HeStarIa</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a He-star Ia supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_IBC</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a type Ib/c supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_II</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a type II supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_IIa</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a type IIa supernova occurs. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_WDKICK</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a WD is kicked. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_TZ</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a Thorne-Zytkow object is formed. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_AIC_BH</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a neutron star collapses to a black hole. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_BH_BH</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when two black holes merge. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_BH_NS</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the, kick on the companion when a black hole merges with a neutron star. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_IA_Hybrid_HeCOWD</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a hybrid He-COWD type Ia explosion. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_IA_Hybrid_HeCOWD_subluminous</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a subluminous hybrid He-COWD type Ia explosion. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_PPISN</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a PPISN supernova. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_PISN</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a PISN supernova. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: sn_kick_companion_PHDIS</div>
+<div class="line"><strong>Description</strong>: Set the speed (if >=0) of, or the algothim (if <0) used to calculate the kick on the companion, if it survives, in a PHDIS supernova. 0 = none, 1 = Liu+2015, 2 = Wheeler+ 1975.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SN_IMPULSE_NONE = 0’, ‘SN_IMPULSE_LIU2015 = 1’, ‘SN_IMPULSE_WHEELER1975 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wd_sigma</div>
+<div class="line"><strong>Description</strong>: Set the speed at which white dwarfs are kicked when they form, in km/s. Default is zero (i.e. no kick). Requires WD_KICKS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wd_kick_direction</div>
+<div class="line"><strong>Description</strong>: Set the direction of white dwarf kicks. 0 = random, 1 = up, 2 = forward, 3 = backward, 4 = inward, 5 = outward. Requires WD_KICKS.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘KICK_RANDOM = 0’, ‘KICK_STRAIGHT_UP = 1’, ‘KICK_FORWARD = 2’, ‘KICK_BACKWARD = 3’, ‘KICK_INWARD = 4’, ‘KICK_OUTWARD = 5’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wd_kick_when</div>
+<div class="line"><strong>Description</strong>: Decide when to kick a white dwarf. 0=at birth, 1=at first RLOF, 2=at given pulse number (see wd_kick_pulse_number), 3 at every pulse Requires WD_KICKS.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘WD_KICK_END_AGB = 0’, ‘WD_KICK_FIRST_RLOF = 1’, ‘WD_KICK_AT_GIVEN_PULSE = 2’, ‘WD_KICK_AT_EVERY_PULSE = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wd_kick_pulse_number</div>
+<div class="line"><strong>Description</strong>: Apply a kick to a star at a desired pulse number on the TPAGB (i.e. pre-WD). Requires WD_KICKS.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_helium_ignition_core_mass</div>
+<div class="line"><strong>Description</strong>: Minimum helium core mass required to ignite helium in the case that the hydrogen envelope is stripped on the giant branch, e.g. to make an sdB or sdO star. Typically 0.4, if 0.0 then the BSE algorithm (based on the total mass) is used.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_CO_core_mass_for_carbon_ignition</div>
+<div class="line"><strong>Description</strong>: Minimum CO core mass for carbon ignition, assuming Mc,bagb>1.6Msun. Typically around 1.08Msun (Pols+1998).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.08</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_CO_core_mass_for_neon_ignition</div>
+<div class="line"><strong>Description</strong>: Minimum CO core mass for neon ignition. Typically around 1.42Msun. Stars that have cores that ignite carbon, but not neon explode in electon-capture supernovae.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.42</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_mcbagb_for_nondegenerate_carbon_ignition</div>
+<div class="line"><strong>Description</strong>: Minimum Mc,bagb (core mass at the base of the AGB) for non-degenerate carbon ignition. Typically around 2.25Msun (Pols+1998).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 2.25</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: maximum_mcbagb_for_degenerate_carbon_ignition</div>
+<div class="line"><strong>Description</strong>: Maximum Mc,bagb (core mass at the base of the AGB) for degenerate carbon ignition. Typically around 1.6Msun (Pols+1998).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.6</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: max_neutron_star_mass</div>
+<div class="line"><strong>Description</strong>: Maximum mass of a neutron star before it collapses to a black hole. Typically around 2Msun.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 2.2</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: chandrasekhar_mass</div>
+<div class="line"><strong>Description</strong>: The Chandrasekhar mass, usually 1.44Msun</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.38</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: delta_mcmin</div>
+<div class="line"><strong>Description</strong>: A parameter to reduce the minimum core mass for third dredge up to occur on the TPAGB. As used by Izzard and Tout (2004) to increase the amount of dredge up, hence carbon, in Magellanic cloud stars.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lambda_min</div>
+<div class="line"><strong>Description</strong>: A parameter to increase the efficiency of third dredge up on the TPAGB. The efficiency is lambda * lambda_mult, and setting lambda_min>0 implies that, once Mc>Mcmin (see delta_mcmin) lambda=Max(lambda(fit to Karakas), lambda_min). As used by Izzard and Tout (2004) to increase the amount of dredge up, hence carbon, in Magellanic cloud stars. See also lambda_multiplier.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lambda_multiplier</div>
+<div class="line"><strong>Description</strong>: A parameter to increase the efficiency of third dredge up on the TPAGB. The efficiency is lambda * lambda_mult, and setting lambda_min>0 implies that, once Mc>Mcmin (see delta_mcmin) lambda=Max(lambda(fit to Karakas), lambda_min). As used by Izzard and Tout (2004) to increase the amount of dredge up, hence carbon, in Magellanic cloud stars.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_envelope_mass_for_third_dredgeup</div>
+<div class="line"><strong>Description</strong>: The minimum envelope mass for third dredge up on the TPAGB. Early, solar metallicity models by Straniero et al suggested 0.5Msun is typical. However, circumstantial evidence (Izzard et al 2009) as well as newer models by Stancliffe and Karakas suggest that at low metallicity a value nearer zero is more appropriate.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: mass_of_pmz</div>
+<div class="line"><strong>Description</strong>: The mass in the partial mixing zone of a TPAGB star, using the Karakas 2012 tables. Ask Carlo Abate for more details, or see the series of papers Abate et al 2012, 2013, 2014. Requires NUCSYN and USE_TABULAR_INTERSHELL_ABUNDANCES_KARAKAS_2012.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: c13_eff</div>
+<div class="line"><strong>Description</strong>: The “efficiency†of partial mixing in a TPAGB star intershell region, when using the s-process tables of Gallino, Busso, Lugaro et al. as provided by Maria Lugaro for the Izzard et al. 2009 paper. Requires NUCSYN and NUCSYN_S_PROCESS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: mc13_pocket_multiplier</div>
+<div class="line"><strong>Description</strong>: Multiplies the mass in the partial mixing zone of a TPAGB star, when using the s-process tables of Gallino, Busso, Lugaro et al. as provided by Maria Lugaro for the Izzard et al. 2009 paper. Requires NUCSYN and NUCSYN_S_PROCESS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: tides_convective_damping</div>
+<div class="line"><strong>Description</strong>: Tidal convective damping algorithm. 0=TIDES_HURLEY2002 Zahn 197x timescales + Hut, as in Hurley et al (2002), 1 = TIDES_ZAHN1989: Zahn 1989 lambdas + Hut.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘TIDES_HURLEY2002 = 0’, ‘TIDES_ZAHN1989 = 1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: E2_prescription</div>
+<div class="line"><strong>Description</strong>: Choose how to calculate the E2 structural parameter (used in tidal timescale calculations). 0=Hurley 1=Izzard (see Siess et al 2013).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘E2_HURLEY_2002 = 0’, ‘E2_IZZARD = 1’, ‘E2_MINT = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: dtfac</div>
+<div class="line"><strong>Description</strong>: A parameter to decrease the timestep ONLY during the TPAGB phase.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: hbbtfac</div>
+<div class="line"><strong>Description</strong>: A parameter to modulate the temperature at the base of the hot-bottom burning zone in TPAGB stars. (Works only if NUCSYN is defined)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_multiplier_%d</div>
+<div class="line"><strong>Description</strong>: Wind multiplier for the stellar type specified by the intger %d. By default these are all 1.0.</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_type_multiplier_%d</div>
+<div class="line"><strong>Description</strong>: Wind multiplier for different types of wind (MS, GB, AGB, WR, LBV, OTHER), given by the integer %d. By default these are all 1.0.</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: pre_main_sequence</div>
+<div class="line"><strong>Description</strong>: Set to True to turn on pre-main sequence evolution. Currently this is not a special stellar type, rather the first (small) fraction of the main sequence has increased radii to match the Railton et al 2014 fits to Tout’s pre-main sequence stars. Requires PRE_MAIN_SEQUENCE. See also pre_main_sequence_fit_lobes.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: pre_main_sequence_fit_lobes</div>
+<div class="line"><strong>Description</strong>: Set to True force a pre-main sequence star into its Roche lobe. This is done by artificially aging it. Requires PRE_MAIN_SEQUENCE</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: small_envelope_method</div>
+<div class="line"><strong>Description</strong>: Choose the method used to determine the stellar radius when the envelope mass is very thin. 0 = Hurley et al. (2002), 1 = Miller Bertolami et al. (2016+) for GB and AGB stars only.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘SMALL_ENVELOPE_METHOD_BSE = 0’, ‘SMALL_ENVELOPE_METHOD_MILLER_BERTOLAMI = 1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: timestep_modulator</div>
+<div class="line"><strong>Description</strong>: Multiplier applied to the global timestep. Requires TIMESTEP_MODULATION.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: timestep_multiplier%d</div>
+<div class="line"><strong>Description</strong>: Multiplier applied to timestep limit <n>.</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: maximum_timestep</div>
+<div class="line"><strong>Description</strong>: The maximum timestep (MYr).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1e+20</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: zoomfac_multiplier_decrease</div>
+<div class="line"><strong>Description</strong>: When a timestep is rejected, decrease the timestep by this factor (0.5).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.5</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: zoomfac_multiplier_increase</div>
+<div class="line"><strong>Description</strong>: When a timestep is rejected, zooms, then succeeds, increase the timestep by this factor (1.2).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.2</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: maximum_timestep_factor</div>
+<div class="line"><strong>Description</strong>: The maximum factor between two subsequent timesteps (1.2).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: maximum_nuclear_burning_timestep</div>
+<div class="line"><strong>Description</strong>: The maximum timestep (MYr) in any nuclear burning phase.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1e+20</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nova_retention_method</div>
+<div class="line"><strong>Description</strong>: Algorithm used to calculate the amount of mass retained during a nova explosion. 0=use nova_retention_fraction. (other methods pending)</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘NOVA_RETENTION_ALGORITHM_CONSTANT = 0’, ‘NOVA_RETENTION_ALGORITHM_CLAEYS2014 = 1’, ‘NOVA_RETENTION_ALGORITHM_HILLMAN2015 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_metallicity</div>
+<div class="line"><strong>Description</strong>: This sets the metallicity for MINT. It is ignored if set to -1.0, the default, in which case the normal metallicity parameter is used.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gaia_Teff_binwidth</div>
+<div class="line"><strong>Description</strong>: log10(Effective temperature) bin width used to make Gaia-like HRDs</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gaia_L_binwidth</div>
+<div class="line"><strong>Description</strong>: log10(luminosity) bin width used to make Gaia-like HRDs</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gaia_colour_transform_method</div>
+<div class="line"><strong>Description</strong>: Use this to select the method used to transform to Gaia colours from other colour schemes. GAIA_CONVERSION_UBVRI_UNIVARIATE_JORDI2010 = 0 Jordi et al.’s univariate UBVRI fits, GAIA_CONVERSION_UBVRI_BIVARIATE_JORDI2010 = 1 Jordi et al.’s bivariate UBVRI fits, GAIA_CONVERSION_ugriz_UNIVARIATE_JORDI2010 = 2 Jordi et al.’s univariate UBVRI fits, GAIA_CONVERSION_ugriz_BIVARIATE_JORDI2010 = 3 Jordi et al.’s univariate ugriv fits, GAIA_CONVERSION_UBVRI_UNIVARIATE_EVANS2018 = 4 Evans et al. (2018, DR2) fits, GAIA_CONVERSION_ugriz_UNIVARIATE_EVANS2018 = 5 Evans et al. (2018, DR2) fits, GAIA_CONVERSION_UBVRI_RIELLO2020 = 6 Riello et al. (2020, DR3) fits, GAIA_CONVERSION_ugriz_RIELLO2020 = 7 Riello et al. (2020, DR3) fits.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 4</div>
+<div class="line"><strong>Macros</strong>: [‘GAIA_CONVERSION_UBVRI_UNIVARIATE_JORDI2010 = 0’, ‘GAIA_CONVERSION_UBVRI_BIVARIATE_JORDI2010 = 1’, ‘GAIA_CONVERSION_ugriz_UNIVARIATE_JORDI2010 = 2’, ‘GAIA_CONVERSION_ugriz_BIVARIATE_JORDI2010 = 3’, ‘GAIA_CONVERSION_UBVRI_UNIVARIATE_EVANS2018 = 4’, ‘GAIA_CONVERSION_ugriz_UNIVARIATE_EVANS2018 = 5’, ‘GAIA_CONVERSION_UBVRI_RIELLO2020 = 6’, ‘GAIA_CONVERSION_ugriz_RIELLO2020 = 7’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: rotationally_enhanced_mass_loss</div>
+<div class="line"><strong>Description</strong>: Set to 1 to enable rotationally enhanced mass loss rate algorithms: 0= none, 1=formula cf. Langer models (=ROTATIONALLY_ENHANCED_MASSLOSS_LANGER_FORMULA), 2=limit accretion rate before wind loss is applied, 3 = both 1 and 2. See also rotationally_enhanced_exponent</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘ROTATIONALLY_ENHANCED_MASSLOSS_NONE = 0’, ‘ROTATIONALLY_ENHANCED_MASSLOSS_LANGER_FORMULA = 1’, ‘ROTATIONALLY_ENHANCED_MASSLOSS_ANGMOM = 2’, ‘ROTATIONALLY_ENHANCED_MASSLOSS_LANGER_FORMULA_AND_ANGMOM = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: AGB_core_algorithm</div>
+<div class="line"><strong>Description</strong>: Algorithm to use for calculating AGB core masses. 0=Hurley et al. 2002 if no NUCSYN, Karakas 2002 if NUCSYN is defined; 1=Hurley et al. 2002 (overshooting models); 1=Karakas 2002 (non-overshooting models).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘AGB_CORE_ALGORITHM_DEFAULT = 0’, ‘AGB_CORE_ALGORITHM_HURLEY = 1’, ‘AGB_CORE_ALGORITHM_KARAKAS = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: AGB_radius_algorithm</div>
+<div class="line"><strong>Description</strong>: Algorithm to use for calculating radii on the TPAGB.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘AGB_RADIUS_ALGORITHM_DEFAULT = 0’, ‘AGB_RADIUS_ALGORITHM_HURLEY = 1’, ‘AGB_RADIUS_ALGORITHM_KARAKAS = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: AGB_luminosity_algorithm</div>
+<div class="line"><strong>Description</strong>: Algorithm to use for calculating luminosities on the TPAGB.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘AGB_LUMINOSITY_ALGORITHM_DEFAULT = 0’, ‘AGB_LUMINOSITY_ALGORITHM_HURLEY = 1’, ‘AGB_LUMINOSITY_ALGORITHM_KARAKAS = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: AGB_3dup_algorithm</div>
+<div class="line"><strong>Description</strong>: Algorithm to use for calculating third dredge up efficiency on the TPAGB.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘AGB_THIRD_DREDGE_UP_ALGORITHM_DEFAULT = 0’, ‘AGB_THIRD_DREDGE_UP_ALGORITHM_HURLEY = 1’, ‘AGB_THIRD_DREDGE_UP_ALGORITHM_KARAKAS = 2’, ‘AGB_THIRD_DREDGE_UP_ALGORITHM_STANCLIFFE = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: overspin_algorithm</div>
+<div class="line"><strong>Description</strong>: Algorithm to determine what we do when a star is rotating at its breakup velocity. OVERSPIN_BSE (0) conservatively transfers the angular momentum back to the orbit. OVERSPIN_MASSLOSS uses the rotationally_enhanced_massloss parameter to lose mass which carries away the angular momentum.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘OVERSPIN_BSE = 0’, ‘OVERSPIN_MASSLOSS = 1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: rotationally_enhanced_exponent</div>
+<div class="line"><strong>Description</strong>: The exponent (power) by which rotationally enhanced mass loss is raised. Requires ROTATIONALLY_ENHANCED_MASS_LOSS. See also rotationally_enhanced_mass_loss.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: batchmode</div>
+<div class="line"><strong>Description</strong>: Set the batchmode control variable. Use only if you know what you are doing!</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: speedtests</div>
+<div class="line"><strong>Description</strong>: If True, turns on speedtests during version information (off by default).</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: use_fixed_timestep_%d</div>
+<div class="line"><strong>Description</strong>: Set to True to use fixed timestep <n>, False to turn off. Fixed timesteps are on (this is True) by default.</div>
+<div class="line"><strong>Parameter input type</strong>: Boolean(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: task%d</div>
+<div class="line"><strong>Description</strong>: Control tasks to be performed by binary_c. By default, these are all TRUE. For more information see binary_c_macros.h, particularly the BINARY_C_TASK_* macros.</div>
+<div class="line"><strong>Parameter input type</strong>: Boolean(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbiting_object</div>
+<div class="line"><strong>Description</strong>: Usage: –orbiting_object mass,spinrate,central_object,period.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: 1.0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbiting_objects_log</div>
+<div class="line"><strong>Description</strong>: If True, turn on orbiting-object log.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbiting_objects_wind_accretion_multiplier</div>
+<div class="line"><strong>Description</strong>: Multiplier for wind accretion on orbiting objects. Hurley et al 2002 use 1.5, which is the default.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.5</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbiting_objects_close_pc_threshold</div>
+<div class="line"><strong>Description</strong>: How close are orbiting objects allowed to be? Set this to be the absolute percentage difference minimum.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbiting_objects_tides_multiplier</div>
+<div class="line"><strong>Description</strong>: Multiplier for tidal torques on orbiting objects.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: evaporate_escaped_orbiting_objects</div>
+<div class="line"><strong>Description</strong>: If True, evaporate orbiting objects that have escaped the system.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: RLOF_transition_objects_escape</div>
+<div class="line"><strong>Description</strong>: If True, objects that escape their Roche lobe are ejected from the system, otherwise they are placed just outside the minimum stable orbit.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_resolve</div>
+<div class="line"><strong>Description</strong>: If True, the timestep will be shortened to resolve better the PN phase (FALSE).</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_resolve_minimum_luminosity</div>
+<div class="line"><strong>Description</strong>: The luminosity above which extra time resolution for PNe is applied (see PN_resolve).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 31.62</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_resolve_maximum_envelope_mass</div>
+<div class="line"><strong>Description</strong>: The envelope mass below which extra time resolution for PNe is applied (see PN_resolve).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_resolve_minimum_effective_temperature</div>
+<div class="line"><strong>Description</strong>: The minimum effective temperature above which extra time resolution for PNe is applied (see PN_resolve).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 12500</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_fast_wind</div>
+<div class="line"><strong>Description</strong>: If True, thin-envelope PNe will have fast winds (FALSE).</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_fast_wind_dm_GB</div>
+<div class="line"><strong>Description</strong>: The envelope mass below which fast wind used during the GB if PN_fast_wind is TRUE. (See also PN_fast_wind, PN_fast_wind_mdot_GB)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.01</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_fast_wind_mdot_GB</div>
+<div class="line"><strong>Description</strong>: The envelope mass below which fast wind used during the GB if PN_fast_wind is TRUE. (See also PN_fast_wind, PN_fast_wind_mdot_GB)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1e-06</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_fast_wind_dm_AGB</div>
+<div class="line"><strong>Description</strong>: The envelope mass below which fast wind used during the AGB if PN_fast_wind is TRUE. (See also PN_fast_wind, PN_fast_wind_mdot_AGB)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.001</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_fast_wind_mdot_AGB</div>
+<div class="line"><strong>Description</strong>: The envelope mass below which fast wind used during the GB if PN_fast_wind is TRUE. (See also PN_fast_wind, PN_fast_wind_mdot_AGB)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1e-06</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: HeWD_HeWD_ignition_mass</div>
+<div class="line"><strong>Description</strong>: HeWD-HeWD mergers above this mass reignite helium. (0.3)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.3</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_Nieuwenhuijzen_luminosity_lower_limit</div>
+<div class="line"><strong>Description</strong>: Above this luminosity we activate the Nieuwenhuijzen and de Jager wind (4e3 Lsun).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 4000</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_LBV_luminosity_lower_limit</div>
+<div class="line"><strong>Description</strong>: Above this luminosity we activate the LBV wind (6e5 Lsun).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 600000</div>
+</div>
+</div>
+<div class="section" id="section-binary">
+<h2>Section: binary<a class="headerlink" href="#section-binary" title="Permalink to this headline">¶</a></h2>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: separation</div>
+<div class="line"><strong>Description</strong>: Set the orbital separation (actually the semi-major axis) of the binary (internal index 0, stellar indices 0 and 1) in solar radii. Note that if the orbital period is given, it is used to calculate the separation. So if you want to set the separation instead, either do not set the orbital period or set the orbital period to zero (0.0).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: separation_triple</div>
+<div class="line"><strong>Description</strong>: Set the orbital separation (actually the semi-major axis) of the triple (internal index 1) in solar radii. Note that if the orbital period is given, it is used to calculate the separation. So if you want to set the separation instead, either do not set the orbital period or set the orbital period to zero (0.0).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: separation_quadruple</div>
+<div class="line"><strong>Description</strong>: Set the orbital separation (actually the semi-major axis) of the quadruple (internal index 2) in solar radii. Note that if the orbital period is given, it is used to calculate the separation. So if you want to set the separation instead, either do not set the orbital period or set the orbital period to zero (0.0).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbital_period</div>
+<div class="line"><strong>Description</strong>: Set the initial orbital period of the binary, stars 1 and 2 (internal indices 0 and 1) in days. See also separation.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbital_period_triple</div>
+<div class="line"><strong>Description</strong>: Set the initial orbital period of the triple in days. See also separation.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbital_period_quadruple</div>
+<div class="line"><strong>Description</strong>: Set the orbital period of the outer binary in a quadrulple (stars 3 and 4, internal indices 2 and 3) in days. See also separation.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: eccentricity</div>
+<div class="line"><strong>Description</strong>: Set the initial eccentricity of the binary orbit (stars 1 and 2, internal indices 0 and 1).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: eccentricity_triple</div>
+<div class="line"><strong>Description</strong>: Set the initial eccentricity of the triple orbit.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: eccentricity_quadruple</div>
+<div class="line"><strong>Description</strong>: Set the initial eccentricity of the outer binary of a quadruple (stars 3 and 4, internal indices 2 and 3).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: incliniation</div>
+<div class="line"><strong>Description</strong>: Set the initial orbital_inclination of the binary relative to zero.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: incliniation_triple</div>
+<div class="line"><strong>Description</strong>: Set the initial orbital_inclination of the triple orbit relative to zero.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: incliniation_quadruple</div>
+<div class="line"><strong>Description</strong>: Set the initial orbital_inclinationy of the quadruple orbit relative to zero.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbital_phase</div>
+<div class="line"><strong>Description</strong>: Set the initial orbital phase of the binary orbit.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbital_phase_triple</div>
+<div class="line"><strong>Description</strong>: Set the initial orbital phase of the triple orbit.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: orbital_phase_quadruple</div>
+<div class="line"><strong>Description</strong>: Set the initial orbital phase of the quadruple orbit.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: argument_of_periastron</div>
+<div class="line"><strong>Description</strong>: Set the initial argument of periastron of the binary orbit.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: argument_of_periastron_triple</div>
+<div class="line"><strong>Description</strong>: Set the initial argument of periastron of the triple orbit.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: argument_of_periastron_quadruple</div>
+<div class="line"><strong>Description</strong>: Set the initial argument of periastron of the quadruple orbit.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disc_timestep_factor</div>
+<div class="line"><strong>Description</strong>: Factor that multiplies the natural timestep of a disc.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.01</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: white_dwarf_cooling_model</div>
+<div class="line"><strong>Description</strong>: White dwarf cooling model, relates age to luminosity. WHITE_DWARF_COOLING_MESTEL = 0 is Mestel’s model, WHITE_DWARF_COOLING_MESTEL_MODIFIED = 1 is Hurley’s modified Mestel model, WHITE_DWARF_COOLING_CARRASCO2014 = 2 is based on Carrasco (2014) tables.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘WHITE_DWARF_COOLING_MESTEL = 0’, ‘WHITE_DWARF_COOLING_MESTEL_MODIFIED = 1’, ‘WHITE_DWARF_COOLING_CARRASCO2014 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: white_dwarf_radius_model</div>
+<div class="line"><strong>Description</strong>: White dwarf radius model, radius to mass (and perhaps age). WHITE_DWARF_RADIUS_NAUENBERG1972 = 0 Nauenberg (1972), WHITE_DWARF_RADIUS_MU = 1 mu-dependent variant, WHITE_DWARF_RADIUS_CARRASCO2014 = 2 is based on Carrasco (2014) tables.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘WHITE_DWARF_RADIUS_NAUENBERG1972 = 0’, ‘WHITE_DWARF_RADIUS_MU = 1’, ‘WHITE_DWARF_RADIUS_CARRASCO2014 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_mass_loss_inner_viscous_accretion_method</div>
+<div class="line"><strong>Description</strong>: Chooses where the mass that is accreted from the inner edge of a circumbinary disc goes, i.e. to which star. 0 = Young and Clarke 2015, 1 = Gerosa et al 2015, 2 = 50:50 (i.e. not dependence on mass).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘CBDISC_MASS_LOSS_INNER_VISCOUS_ACCRETION_METHOD_YOUNG_CLARKE_2015 = 0’, ‘CBDISC_MASS_LOSS_INNER_VISCOUS_ACCRETION_METHOD_GEROSA_2015 = 1’, ‘CBDISC_MASS_LOSS_INNER_VISCOUS_ACCRETION_METHOD_EQUAL = 2’, ‘CBDISC_MASS_LOSS_INNER_VISCOUS_ACCRETION_METHOD_NONE = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_inner_edge_stripping</div>
+<div class="line"><strong>Description</strong>: If True, allow inner edge mass stripping.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: True</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_end_evolution_after_disc</div>
+<div class="line"><strong>Description</strong>: If True, stop evolution when a disc evaporates.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_no_wind_if_cbdisc</div>
+<div class="line"><strong>Description</strong>: If True, disable stellar winds when there is a circumbinary disc.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_outer_edge_stripping</div>
+<div class="line"><strong>Description</strong>: If True, allow outer edge mass stripping.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: True</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disc_n_monte_carlo_guesses</div>
+<div class="line"><strong>Description</strong>: Number of monte carlo guesses to try in the disc solver if the normal list of guesses fails (0).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disc_log</div>
+<div class="line"><strong>Description</strong>: If 1, turn on the disc log. Requires DISC_LOG to be defined on build.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘DISC_LOG_LEVEL_NONE = 0’, ‘DISC_LOG_LEVEL_NORMAL = 1’, ‘DISC_LOG_LEVEL_SUBTIMESTEP = 2’, ‘DISC_LOG_LEVEL_NORMAL_FIRST_DISC_ONLY = -1’, ‘DISC_LOG_LEVEL_SUBTIMESTEP_FIRST_DISC_ONLY = -2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disc_log2d</div>
+<div class="line"><strong>Description</strong>: If 1, turn on the 2d disc log. Requires DISC_LOG to be defined on build.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘DISC_LOG_LEVEL_NONE = 0’, ‘DISC_LOG_LEVEL_NORMAL = 1’, ‘DISC_LOG_LEVEL_SUBTIMESTEP = 2’, ‘DISC_LOG_LEVEL_NORMAL_FIRST_DISC_ONLY = -1’, ‘DISC_LOG_LEVEL_SUBTIMESTEP_FIRST_DISC_ONLY = -2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disc_log_dt</div>
+<div class="line"><strong>Description</strong>: If non-zero, only allows disc log output every disc_log_dt Myr.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disc_log_directory</div>
+<div class="line"><strong>Description</strong>: Directory into which disc logging is sent (must exist!).</div>
+<div class="line"><strong>Parameter input type</strong>: String</div>
+<div class="line"><strong>Default value</strong>: /tmp/</div>
+<div class="line"><strong>Extra</strong>: /tmp/</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: post_ce_adaptive_menv</div>
+<div class="line"><strong>Description</strong>: If TRUE, and if post_ce_objects_have_envelopes is TRUE, then the envelope mass of a post-CE star is such that it sits just inside its Roche lobe. If FALSE then a fixed (thin) envelope mass is applied that depends on the stellar type (see macros POST_CE_ENVELOPE_DM_GB, POST_CE_ENVELOPE_DM_EAGB and POST_CE_ENVELOPE_DM_TPAGB).</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: post_ce_objects_have_envelopes</div>
+<div class="line"><strong>Description</strong>: If TRUE then post-common-envelope objects have thin envelopes. You need this if you are to have post-CE post-AGB stars. Note that this <em>may</em> be unstable, i.e. you may end up having many CEEs. The mass in the envelope is controlled by post_ce_adaptive_menv. TRUE by default.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: True</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_comenv_transition_time</div>
+<div class="line"><strong>Description</strong>: post-common envelope transition time in years (1e2). This is the time taken to move from CEE ejection to Teff > 30e4 K. Hall et al. (2013) suggest ~100 years.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 100</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_time_between_PNe</div>
+<div class="line"><strong>Description</strong>: The minimum time (Myr) between planetary nebula detections. This prevents multiple, fast common envelopes triggering two PNe (0.1).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PN_Hall_fading_time_algorithm</div>
+<div class="line"><strong>Description</strong>: In stars with low mass (<0.45Msun) cores, you can choose to set the PN fading time to either the minimum (PN_HALL_FADING_TIME_ALGORITHM_MINIMUM) or maximum (PN_HALL_FADING_TIME_ALGORITHM_MAXIMUM) as shown in Fig. 6 of Hall et al. (2013).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘PN_HALL_FADING_TIME_ALGORITHM_MINIMUM = 0’, ‘PN_HALL_FADING_TIME_ALGORITHM_MAXIMUM = 1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: PPN_envelope_mass</div>
+<div class="line"><strong>Description</strong>: Desired pre-planetary nebula (post-AGB) envelope mass.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.01</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_eccentricity_pumping_method</div>
+<div class="line"><strong>Description</strong>: Select from various eccentricity-pumping methods when there is a circumbinary disc. Requires DISCS. 0 = off.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘CBDISC_ECCENTRICITY_PUMPING_NONE = 0’, ‘CBDISC_ECCENTRICITY_PUMPING_DERMINE = 1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_viscous_photoevaporative_coupling</div>
+<div class="line"><strong>Description</strong>: Set to 1 to turn on viscous-photoevaporative coupling in circumbinary discs. Requires DISCS. 0 = CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_NONE = off, 1 = CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_INSTANT instant, 2 = CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_VISCOUS slow, viscous wind.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_NONE = 0’, ‘CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_INSTANT = 1’, ‘CBDISC_VISCOUS_PHOTOEVAPORATIVE_COUPLING_VISCOUS = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_inner_edge_stripping_timescale</div>
+<div class="line"><strong>Description</strong>: Defines the timescale for mass loss from by inner edge stripping. 0 = instant, 1 = very long, 2 = viscous at Revap_in, 3 = orbital at Revap_in.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘DISC_STRIPPING_TIMESCALE_INSTANT = 1’, ‘DISC_STRIPPING_TIMESCALE_INFINITE = 2’, ‘DISC_STRIPPING_TIMESCALE_VISCOUS = 3’, ‘DISC_STRIPPING_TIMESCALE_ORBIT = 4’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_outer_edge_stripping_timescale</div>
+<div class="line"><strong>Description</strong>: Defines the timescale for mass loss from by outer edge stripping. 0 = instant, 1 = very long, 2 = viscous at Revap_in, 3 = orbital at Revap_out.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘DISC_STRIPPING_TIMESCALE_INSTANT = 1’, ‘DISC_STRIPPING_TIMESCALE_INFINITE = 2’, ‘DISC_STRIPPING_TIMESCALE_VISCOUS = 3’, ‘DISC_STRIPPING_TIMESCALE_ORBIT = 4’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_viscous_L2_coupling</div>
+<div class="line"><strong>Description</strong>: Set to 1 to turn on viscous-L2-loss coupling in circumbinary discs. Requires DISCS. 0 = off.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gravitational_radiation_model</div>
+<div class="line"><strong>Description</strong>: Model for gravitational radiation from the system. 0=Hurley et al 2002 (Landau and Lifshitz 1951). 1 = as 0 but only when there is no RLOF. 2 = none.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘GRAVITATIONAL_RADIATION_BSE = 0’, ‘GRAVITATIONAL_RADIATION_BSE_WHEN_NO_RLOF = 1’, ‘GRAVITATIONAL_RADIATION_NONE = 2’, ‘GRAVITATIONAL_RADIATION_LANDAU_LIFSHITZ = 3’, ‘GRAVITATIONAL_RADIATION_LANDAU_LIFSHITZ_WHEN_NO_RLOF = 4’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nova_irradiation_multiplier</div>
+<div class="line"><strong>Description</strong>: Multiplier for nova-radiative induced mass loss. (Shara+1986)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gravitational_radiation_modulator_J</div>
+<div class="line"><strong>Description</strong>: Modulator for gravitational wave radiation angular momentum loss rate (1.0).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gravitational_radiation_modulator_e</div>
+<div class="line"><strong>Description</strong>: Modulator for gravitational wave radiation eccentricity pumping rate (1.0).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nova_faml_multiplier</div>
+<div class="line"><strong>Description</strong>: Nova friction-induced angular momentum loss multiplier. (Shara+1986)</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: RLOF_angular_momentum_transfer_model</div>
+<div class="line"><strong>Description</strong>: Choose angular momentum transfer model in RLOF. 0=BSE (with discs), 1=conservative</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘RLOF_ANGULAR_MOMENTUM_TRANSFER_MODEL_BSE = 0’, ‘RLOF_ANGULAR_MOMENTUM_TRANSFER_MODEL_CONSERVATIVE = 1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: post_SN_orbit_method</div>
+<div class="line"><strong>Description</strong>: Method by which the post-SN orbit is calculated. 0=BSE, 1=Tauris&Taken 1998.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+<div class="line"><strong>Macros</strong>: [‘POST_SN_ORBIT_BSE = 0’, ‘POST_SN_ORBIT_TT98 = 1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: multiplicity</div>
+<div class="line"><strong>Description</strong>: Multiplicity: 1=single star, 2=binary, 3=triple, 4=quadruple.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: accretion_limit_eddington_steady_multiplier</div>
+<div class="line"><strong>Description</strong>: Steady accretion is limited by the Eddington instability, with limiting rate given by the accretion_limit_eddington_steady_multiplier * the normal (spherically symmetric) Eddington rate. This is known in the trade as the Eddington factor, and anything greater than 1.0 potentially gives you super-Eddington accretion.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: accretion_limit_eddington_LMMS_multiplier</div>
+<div class="line"><strong>Description</strong>: Accretion from a low-mass, convective, main_sequence star is limited by the Eddington instability, with limiting rate given by the accretion_limit_eddington_LMMS_multiplier * the normal (spherically symmetric) Eddington rate. This is known in the trade as the Eddington factor, and anything greater than 1.0 potentially gives you super-Eddington accretion.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: accretion_limit_eddington_WD_to_remnant_multiplier</div>
+<div class="line"><strong>Description</strong>: Accretion from a WD onto a remnant star (e.g. another white dwarf, neutron star or black hole) is limited by the Eddington instability, with limiting rate given by the accretion_limit_eddington_WD_to_remnant_multiplier * the normal (spherically symmetric) Eddington rate. This is known in the trade as the Eddington factor, and anything greater than 1.0 potentially gives you super-Eddington accretion.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: accretion_limit_thermal_multiplier</div>
+<div class="line"><strong>Description</strong>: Mass transfer onto a MS, HG or CHeB star is limited by the accretor’s thermal rate times this multiplier.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: accretion_limit_dynamical_multiplier</div>
+<div class="line"><strong>Description</strong>: Mass transfer is limited by the accretor’s dynamical rate times this multiplier.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: donor_limit_envelope_multiplier</div>
+<div class="line"><strong>Description</strong>: Mass transfer by RLOF is limited by this fraction of the donor’s envelope mass per timestep</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: donor_limit_thermal_multiplier</div>
+<div class="line"><strong>Description</strong>: Mass transfer by RLOF is limited by the accretor’s thermal rate times this multiplier.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: donor_limit_dynamical_multiplier</div>
+<div class="line"><strong>Description</strong>: Mass transfer by RLOF is limited by the donor’s dynamical rate times this multiplier.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: Bondi_Hoyle_accretion_factor</div>
+<div class="line"><strong>Description</strong>: Wind accretion rate, as calculated by the Bondi-Hoyle-Littleton formula, multiplcation factor. Hurley et al 2002 use 1.5, which is the default.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.5</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: tidal_strength_factor</div>
+<div class="line"><strong>Description</strong>: A modulator for the tidal strength. If this factor > 1 then tides are stronger, i.e. tidal timescales are reduced.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: hachisu_qcrit</div>
+<div class="line"><strong>Description</strong>: Critical q=Maccretor/Mdonor above which Hachisu’s disk wind turns on.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.15</div>
+<div class="line"><strong>Macros</strong>: [‘HACHISU_IGNORE_QCRIT = -1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: hachisu_disk_wind</div>
+<div class="line"><strong>Description</strong>: Set to True to turn on Hachisu’s disk wind when material accretes too fast onto a white dwarf. This helps to make more SNeIa. See also hachisu_qcrit.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: mass_accretion_for_eld</div>
+<div class="line"><strong>Description</strong>: The mass that must be accreted onto a COWD for it to ignite as an edge-lit detonation SNIa.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.15</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: WDWD_merger_algorithm</div>
+<div class="line"><strong>Description</strong>: Algorithm to be used when merging two white dwarfs. 0 = Hurley et al. (2002), 1 = Perets+ (2019), 2 = Chen+ (2016, todo)</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘WDWD_MERGER_ALGORITHM_BSE = 0’, ‘WDWD_MERGER_ALGORITHM_PERETS2019 = 1’, ‘WDWD_MERGER_ALGORITHM_CHEN2016 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: type_Ia_MCh_supernova_algorithm</div>
+<div class="line"><strong>Description</strong>: Algorithm to be used when calculating type Ia yields from Chandrasekhar-mass exploders. 0 = DD7 (Iwamoto 1999), 1 = Seitenzahl 2013 3D hydro yields (you must also set Seitenzahl2013_model)</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: Seitenzahl2013_model</div>
+<div class="line"><strong>Description</strong>: Which of Seitenzahl et al. 2013’s models to use? One of N1,N3,N5,N10,N20,N40,N100L,N100,N100H,N150,N200,N300C,N1600,N1600C,N100_Z0.5,N100_Z0.1,N100_Z0.01 (defaults to N100).</div>
+<div class="line"><strong>Parameter input type</strong>: String</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: N1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: type_Ia_sub_MCh_supernova_algorithm</div>
+<div class="line"><strong>Description</strong>: Algorithm to be used when calculating type Ia yields from sub-Chandrasekhar-mass exploders. (Currently unused.)</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: max_HeWD_mass</div>
+<div class="line"><strong>Description</strong>: The maximum mass a HeWD can have before it ignites helium (0.7).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.7</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: merger_mass_loss_fraction</div>
+<div class="line"><strong>Description</strong>: Fraction of the total mass which is lost when stars merge.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: merger_angular_momentum_factor</div>
+<div class="line"><strong>Description</strong>: When two stars merge the resulting single star retains a fraction of the total system angular momentum (or the critical spin angular momentum, if it is smaller) multiplied by this factor.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_angular_momentum_loss</div>
+<div class="line"><strong>Description</strong>: Prescription for losing angular momentum in a stellar wind. 0=Hurley et al 2002 (‘Tout’) prescription, 1=lw i.e. a factor multiplying the specific orbital angular momentum, 2=lw hybrid for fast winds. Set wind_djorb_fac to the desired factor..</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘WIND_ANGMOM_LOSS_BSE = 0’, ‘WIND_ANGMOM_LOSS_LW = 1’, ‘WIND_ANGMOM_LOSS_LW_HYBRID = 2’, ‘WIND_ANGMOM_LOSS_SPHERICALLY_SYMMETRIC = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_djorb_fac</div>
+<div class="line"><strong>Description</strong>: Factor multiplying angular momentum loss in a stellar wind when wind_angular_momentum_loss=0 (the Tout/Hurley et al 2002 prescription). See wind_angular_momentum_loss.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lw</div>
+<div class="line"><strong>Description</strong>: Factor multiplying angular momentum loss in a stellar wind when wind_angular_momentum_loss=1,2 (the ‘lw’ prescription). See wind_angular_momentum_loss.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: VW93_EAGB_wind_speed</div>
+<div class="line"><strong>Description</strong>: Activate this to use Vassiliadis and Wood (1993) wind speed during the EAGB.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: VW93_TPAGB_wind_speed</div>
+<div class="line"><strong>Description</strong>: Activate this to use Vassiliadis and Wood (1993) wind speed during the EAGB.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: use_periastron_Roche_radius</div>
+<div class="line"><strong>Description</strong>: Set this to True to use the Roche lobe radius at periastron, rather than (the default to) assume a circular orbit. This will be useful one day when we treat RLOF in eccentric orbits properly, hopefully.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_LMMS</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for low-mass main sequence stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.6944</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_MS</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for (non-low mass) main sequence stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.6</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_HG</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for Hertzsprung gap stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 4</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_GB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for first red giant branch stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_CHeB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for core helium burning stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_EAGB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for early-AGB stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_TPAGB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for TP-AGB stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_HeMS</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for helium main sequence stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_HeHG</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for helium Hertzsprung gap stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 4</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_HeGB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for helium red giant stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.78125</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_HeWD</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for helium white dwarf stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_COWD</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for carbon-oxygen white dwarf stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_ONeWD</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for oxygen-neon white dwarf stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_NS</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for neutron stars to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_BH</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for black holes to determine the stability of Roche-lobe overflow for non-degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+<div class="line"><strong>Macros</strong>: [‘QCRIT_BSE = -1’, ‘QCRIT_HJELLMING_WEBBINK = -2’, ‘QCRIT_Q_NO_COMENV = -3’, ‘QCRIT_CHEN_HAN_TABLE = -4’, ‘QCRIT_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GE2015 = -6’, ‘QCRIT_VOS2018 = -7’, ‘QCRIT_TEMMINK2021 = -8’, ‘QCRIT_GB_BSE = -1’, ‘QCRIT_GB_HJELLMING_WEBBINK = -2’, ‘QCRIT_GB_Q_NO_COMENV = -3’, ‘QCRIT_GB_CHEN_HAN_TABLE = -4’, ‘QCRIT_GB_CHEN_HAN_FORMULA = -5’, ‘QCRIT_GB_GE2015 = -6’, ‘QCRIT_GB_VOS2018 = -7’, ‘QCRIT_GB_TEMMINK2021 = -8’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_LMMS</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for (low mass) main sequence stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_MS</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for (non-low mass) main sequence stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_HG</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for Hertzsprung gap stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 4.7619</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_GB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for first red giant branch stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.15</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_CHeB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for core helium burning stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_EAGB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for early-AGB stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.15</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_TPAGB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for TP-AGB stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.15</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_HeMS</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for helium main sequence stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_HeHG</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for helium Hertzsprung gap stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 4.7619</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_HeGB</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for helium red giant stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.15</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_HeWD</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for helium white dwarf stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.625</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_COWD</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for carbon-oxygen white dwarf stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.625</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_ONeWD</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for oxygen-neon white dwarf stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.625</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_NS</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for neutron stars to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.625</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: qcrit_degenerate_BH</div>
+<div class="line"><strong>Description</strong>: Apply critical q=Mdonor/Maccretor value for black holes to determine the stability of Roche-lobe overflow for degenerate accretors. See also qcrits_*, qcrits_degenerate_*.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.625</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: mass_for_Hestar_Ia_upper</div>
+<div class="line"><strong>Description</strong>: Only helium stars below this mass can explode as SNIa. Default is zero, i.e. it never happens. See also mass_for_Hestar_Ia_lower.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: mass_for_Hestar_Ia_lower</div>
+<div class="line"><strong>Description</strong>: Only helium stars above this mass can explode as SNIa. Default is zero, i.e. it never happens. See also mass_for_Hestar_Ia_upper.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: alphaCB</div>
+<div class="line"><strong>Description</strong>: Circumbinary disk viscosity parameter, alpha.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_donor_menv_for_comenv</div>
+<div class="line"><strong>Description</strong>: Minimum donor envelope mass for common envelope evolution to be triggered (Msun). Default 0.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_prescription</div>
+<div class="line"><strong>Description</strong>: Use this to choose which common envelope prescription you should use. 0=Hurley et al 2002 (based on the Paczyński energy model) or 1=Nelemans and Tout (angular momentum model). See also alpha_ce, comenv_ms_accretion_mass, comenv_ms_accretion_fraction, comenv_ns_accretion_fraction, comenv_ns_accretion_mass, nelemans_gamma, nelemans_minq, nelemans_max_frac_j_change, nelemans_n_comenvs, lambda_ce, lambda_ionisation.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘COMENV_UNDEF = -1’, ‘COMENV_BSE = 0’, ‘COMENV_NELEMANS_TOUT = 1’, ‘COMENV_NANDEZ2016 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_prescription%d</div>
+<div class="line"><strong>Description</strong>: Use this to choose which common envelope prescription you should use. 0=Hurley et al 2002 (based on the Paczyński energy model) or 1=Nelemans and Tout (angular momentum model). See also alpha_ce, comenv_ms_accretion_mass, comenv_ms_accretion_fraction, comenv_ns_accretion_fraction, comenv_ns_accretion_mass, nelemans_gamma, nelemans_minq, nelemans_max_frac_j_change, nelemans_n_comenvs, lambda_ce, lambda_ionisation.</div>
+<div class="line"><strong>Parameter input type</strong>: Int(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Macros</strong>: [‘COMENV_UNDEF = -1’, ‘COMENV_BSE = 0’, ‘COMENV_NELEMANS_TOUT = 1’, ‘COMENV_NANDEZ2016 = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_ejection_spin_method</div>
+<div class="line"><strong>Description</strong>: When a common envelope is ejected, we need to decide how fast the stars are left spinning. COMENV_EJECTION_SPIN_METHOD_DO_NOTHING (0) is the default, this just leaves the stars/stellar cores spinning with the same spin rate (omega = angular velocity) with which they entered the common envelope phase. COMENV_EJECTION_SPIN_METHOD_SYCHRONIZE instead tidally synchronizes the stars with their new orbital angular velocity.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘COMENV_EJECTION_SPIN_METHOD_DO_NOTHING = 0’, ‘COMENV_EJECTION_SPIN_METHOD_SYNCHRONIZE = 1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_merger_spin_method</div>
+<div class="line"><strong>Description</strong>: When a common envelope binary merges, we need to decide how fast the resulting single star is left spinning. COMENV_MERGER_SPIN_METHOD_SPECIFIC (0) is the default, this preserves angular momentum but limits the specific angular momentum of the merged star to the specific angular momentum of the system at the onset of common envelope evolution. COMENV_MERGER_SPIN_METHOD_CONSERVE_ANGMOM (1) sets the merger’s angular momentum to be that of the system at the onset of common envelope evolution (which means the star may be rotating supercritically). COMENV_MERGER_SPIN_METHOD_CONSERVE_OMEGA (2) sets the spin rate (angular frequency = omega) of the merged star to be that of the orbit just at the onset of common envelope evolution.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘COMENV_MERGER_SPIN_METHOD_SPECIFIC = 0’, ‘COMENV_MERGER_SPIN_METHOD_CONSERVE_ANGMOM = 1’, ‘COMENV_MERGER_SPIN_METHOD_CONSERVE_OMEGA = 2’, ‘COMENV_MERGER_SPIN_METHOD_BREAKUP = 3’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_ms_accretion_mass</div>
+<div class="line"><strong>Description</strong>: Experimental. During common envelope evolution, a main sequence star may accrete some of the envelope’s mass. Requires COMENV_MS_ACCRETION. See also comenv_ms_accretion_fraction.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_ms_accretion_fraction</div>
+<div class="line"><strong>Description</strong>: Experimental. During common envelope evolution, a main sequence may accrete a fraction of the envelope’s mass. Requires COMENV_MS_ACCRETION. See also comenv_ms_accretion_mass.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_ns_accretion_mass</div>
+<div class="line"><strong>Description</strong>: Experimental. During common envelope evolution, a neutron star may accrete some of the envelope’s mass. Requires COMENV_NS_ACCRETION. See also comenv_ns_accretion_fraction.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_ns_accretion_fraction</div>
+<div class="line"><strong>Description</strong>: Experimental. During common envelope evolution, a neutron star may accrete a fraction of the envelope’s mass. Requires COMENV_NS_ACCRETION. See also comenv_ns_accretion_mass.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: alpha_ce</div>
+<div class="line"><strong>Description</strong>: Common envelope energy formalism parameter. A fraction alpha of the orbital energy is used to eject the envelope. See Hurley et al 2002 for details.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: alpha_ce%d</div>
+<div class="line"><strong>Description</strong>: Common envelope energy formalism parameter. A fraction alpha of the orbital energy is used to eject the envelope. See Hurley et al 2002 for details.</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lambda_ce</div>
+<div class="line"><strong>Description</strong>: Common envelope parameter. The binding energy of the common envelope is G*M*Menv/(lambda*R). Typically this is taken to be 0.5, but if set to -1 binary_c uses the Dewi and Tauris fits instead, -2 uses the formalism of Wang, Jia and Li (2016) and if -3 then a polytropic formalism is used (see also comenv_splitmass).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.5</div>
+<div class="line"><strong>Macros</strong>: [‘LAMBDA_CE_DEWI_TAURIS = -1’, ‘LAMBDA_CE_WANG_2016 = -2’, ‘LAMBDA_CE_POLYTROPE = -3’, ‘LAMBDA_CE_KLENCKI_2020 = -4’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lambda_ce%d</div>
+<div class="line"><strong>Description</strong>: Common envelope parameter. The binding energy of the common envelope is G*M*Menv/(lambda*R). Typically this is taken to be 0.5, but if set to -1 binary_c uses the Dewi and Tauris fits instead, -2 uses the formalism of Wang, Jia and Li (2016) and if -3 then a polytropic formalism is used (see also comenv_splitmass).</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_splitmass</div>
+<div class="line"><strong>Description</strong>: When lambda_ce=-2, the envelope binding energy, lambda, is calculated using a polytropic formalism. The comenv_splitmass defines the point, in the units of the core mass, above which material is ejected.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nelemans_recalc_eccentricity</div>
+<div class="line"><strong>Description</strong>: If True, recalculate the eccentricity after angular momentum is removed.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_post_eccentricity</div>
+<div class="line"><strong>Description</strong>: Eccentricity remaining after common envelope ejection.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1e-05</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nelemans_gamma</div>
+<div class="line"><strong>Description</strong>: Set the fraction of the orbital specific angular momentum that is used to eject the common envelope according to the Nelemans and Tout prescription. See also nelemans_minq, nelemans_max_frac_j_change, nelemans_n_comenvs.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.75</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nelemans_minq</div>
+<div class="line"><strong>Description</strong>: Only activate the Nelemans and Tout common envelope prescription for q>nelemans_minq. See also nelemans_gamma, nelemans_max_frac_j_change, nelemans_n_comenvs.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.2</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nelemans_max_frac_j_change</div>
+<div class="line"><strong>Description</strong>: Maximum fractional angular momentum change in the Nelemans and Tout common envelope prescription. See also nelemans_gamma, nelemans_minq, nelemans_n_comenvs.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nelemans_n_comenvs</div>
+<div class="line"><strong>Description</strong>: Set the maximum number of common envelope ejections allowed to follow the Nelemans and Tout prescription, after which the standard alpha prescription is used.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lambda_ionisation</div>
+<div class="line"><strong>Description</strong>: A fraction lambda_ionisation of the recombination energy in the common envelope goes into ejecting the envelope. This is usually 0.0, but a positive value can make a big difference to the outcome of common envelope evolution.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.5</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lambda_ionisation%d</div>
+<div class="line"><strong>Description</strong>: A fraction lambda_ionisation of the recombination energy in the common envelope goes into ejecting the envelope. This is usually 0.0, but a positive value can make a big difference to the outcome of common envelope evolution.</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lambda_enthalpy</div>
+<div class="line"><strong>Description</strong>: A fraction of the enthalpy to be included in the common envelope evolution binding energy. Only used for the Wang 2016 prescription (so far).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lambda_enthalpy%d</div>
+<div class="line"><strong>Description</strong>: A fraction of the enthalpy to be included in the common envelope evolution binding energy. Only used for the Wang 2016 prescription (so far).</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_albedo</div>
+<div class="line"><strong>Description</strong>: Circumbinary-disc albedo. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_gamma</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc gamma (equation of state) parameter. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1.4</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_alpha</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc alpha (viscosity) parameter. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.001</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_kappa</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc kappa (opacity) parameter. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.01</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_minimum_evaporation_timescale</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc minimum evaporation timescale (years). If (slow, not edge stripped) mass loss would evaporate the disc on a timescale less than this, simply evaporate the disc immediated. Usually set to 1y, ignore if zero. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_torquef</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc binary torque multiplier. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.001</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_max_lifetime</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc maximum lifetime (years, ignored if 0). Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1e+06</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_init_dM</div>
+<div class="line"><strong>Description</strong>: On cbdisc start, reduce mass by a fraction dM if it won’t converge. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_init_dJdM</div>
+<div class="line"><strong>Description</strong>: On cbdisc start, reduce angular momentum by a fraction dJ/dM*dM if it won’t converge. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.5</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_mass_loss_constant_rate</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc constant mass loss rate (Msun/year). Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_mass_loss_FUV_multiplier</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc FUV mass loss rate multiplier (no units). Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_mass_loss_Xray_multiplier</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc X-ray mass loss rate multiplier (no units). Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_mass_loss_ISM_ram_pressure_multiplier</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc interstellar medium ram pressure stripping mass loss rate multiplier (no units). Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_mass_loss_ISM_pressure</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc interstellar medium ram pressure in units of Boltzmann constant per Kelvin (I think…). Requires DISCS. Typically 3000.0. See e.g. <a class="reference external" href="http://www.astronomy.ohio-state.edu/~pogge/Ast871/Notes/Intro.pdf">http://www.astronomy.ohio-state.edu/~pogge/Ast871/Notes/Intro.pdf</a> page 15 or <a class="reference external" href="https://arxiv.org/pdf/0902.0820.pdf">https://arxiv.org/pdf/0902.0820.pdf</a> Fig. 1 (left panel).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 3000</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_mass_loss_inner_viscous_multiplier</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc inner edge viscous mass loss rate multiplier (no units). Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_mass_loss_inner_viscous_angular_momentum_multiplier</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc inner edge viscous angular momentum multiplier (no units). The inner edge angular momentum Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_resonance_multiplier</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc resonant interaction multiplier, affects eccentricity pumping and angular momentum rates. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_resonance_damping</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc resonant interaction damping: should be on (True) to damp the l=1, m=2 resonance when the disc inner edge lies outside the resonance location. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: True</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_fail_ring_inside_separation</div>
+<div class="line"><strong>Description</strong>: If True, while converging on a structure, circumbinary discs with Rring < the binary separation are immediately failed.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_mass_loss_inner_L2_cross_multiplier</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc inner edge L2-crossing mass loss rate multiplier (no units). Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_minimum_luminosity</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc minimum luminosity. If the disc becomes dimmer than this, the disc is evaporated instantly. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_minimum_mass</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc minimum mass. If the disc becomes less massive than this, the disc is evaporated instantly. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1e-06</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cbdisc_minimum_fRing</div>
+<div class="line"><strong>Description</strong>: Circumbinary disc minimum fRing. If the disc becomes a ring, and fRing = <a href="#id1"><span class="problematic" id="id2">|Rout/Rin-1|</span></a> < this value (and this value is non-zero), the disc is evaporated instantly. Requires DISCS.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.2</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_disc_angmom_fraction</div>
+<div class="line"><strong>Description</strong>: If >0 Fraction of the common envelope’s angular momentum that goes into the circumbinary disc. If -1 then uses the moments of inertia to calculate (deprecated), if -2 use the common envelope’s specific angular momentum, if -3 uses the L2 point at the end of the common envelope to set the angular momentum. Requires DISCS and DISCS_CIRCUMBINARY_FROM_COMENV.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: comenv_disc_mass_fraction</div>
+<div class="line"><strong>Description</strong>: Fraction of the common envelope’s mass that goes into the circumbinary disc. Requires DISCS and DISCS_CIRCUMBINARY_FROM_COMENV.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_disc_angmom_fraction</div>
+<div class="line"><strong>Description</strong>: If >0 Fraction of the wind envelope’s angular momentum that goes into the circumbinary disc. If -1 then uses the L2 point’s specific angular momentum. Requires DISCS and DISCS_CIRCUMBINARY_FROM_WIND.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wind_disc_mass_fraction</div>
+<div class="line"><strong>Description</strong>: Fraction of the stellar wind’s mass that goes into the circumbinary disc. Requires DISCS and DISCS_CIRCUMBINARY_FROM_WIND.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: WRLOF_method</div>
+<div class="line"><strong>Description</strong>: Choose whether and how to apply wind-Roche-lobe-overflow. 0=none, 1=q-dependent, 2=quadratic See Abate et al 2013/14 for details. Requires WRLOF_MASS_TRANSFER.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘WRLOF_NONE = 0’, ‘WRLOF_Q_DEPENDENT = 1’, ‘WRLOF_QUADRATIC = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_timestep</div>
+<div class="line"><strong>Description</strong>: The minimum timestep (Myr).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1e-06</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: timestep_solver_factor</div>
+<div class="line"><strong>Description</strong>: Factor applied in timestep_limits, e.g. to prevent X changing too fast by comparing to X/dX/dt, which is usually 1 but can be higher to lengthen timesteps when using an alternative solver.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: RLOF_mdot_factor</div>
+<div class="line"><strong>Description</strong>: Multiplier applied to the mass transfer rate during Roche-lobe overflow. Requires RLOF_MDOT_MODULATION.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: RLOF_f</div>
+<div class="line"><strong>Description</strong>: Factor to enlarge a Roche lobe, nominally because of radiation pressure (see Dermine et al paper). Requires RLOF_RADIATION_CORRECTION.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_separation_for_instant_RLOF</div>
+<div class="line"><strong>Description</strong>: If True, instead of evolving the system just report the minimum separation (on the zero-age main sequence) that would lead to instant RLOF. Used by binary_grid. See also minimum_orbital_period_for_instant_RLOF and maximum_mass_ratio_for_instant_RLOF.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: minimum_orbital_period_for_instant_RLOF</div>
+<div class="line"><strong>Description</strong>: If True, instead of evolving the system just report the minimum orbital period (on the zero-age main sequence) that would lead to instant RLOF. Used by binary_grid. See also minimum_separation_for_instant_RLOF and maximum_mass_ratio_for_instant_RLOF.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: maximum_mass_ratio_for_instant_RLOF</div>
+<div class="line"><strong>Description</strong>: If True, instead of evolving the system just report the maximum mass ratio (on the zero-age main sequence) that would lead to instant RLOF, given M1 and orbital period. Used by binary_grid. See also minimum_separation_for_instant_RLOF and minimum_orbital_period_for_instant_RLOF.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: RLOF_method</div>
+<div class="line"><strong>Description</strong>: Use RLOF_method to choose the algorithm you use for Roche-lobe overflow mass loss rate calculations. 0=Hurley et al 2002, 1=Adaptive (for radiative stars) R=RL method, 2=Ritter (probably broken), 3=Claeys etal 2014 variant on Hurley et al 2002.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘RLOF_METHOD_BSE = 0’, ‘RLOF_METHOD_ADAPTIVE = 1’, ‘RLOF_METHOD_RITTER = 2’, ‘RLOF_METHOD_CLAEYS = 3’, ‘RLOF_METHOD_ADAPTIVE2 = 4’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: RLOF_interpolation_method</div>
+<div class="line"><strong>Description</strong>: When a star overflows its Roche lobe, it always has R>RL because of the limited time resolution of the simulation. Binary_c then uses an algorithm to get back to when R~RL (within a desired tolerance, set in RLOF_ENTRY_THRESHOLD which is usually 1.02, i.e. overflow of 2%). You can choose algorithm 0, the Hurley et al 2002 method which reverses time (i.e. uses a Newton-like scheme), or 1 to use the binary_c method which rejects a timestep (and hence does no logging on that timestep) and repeats with half the timestep until R~RL. The latter is now the default, because this means there are no negative timesteps which break various other algorithms (e.g. nucleosynthesis).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘RLOF_INTERPOLATION_BINARY_C = 0’, ‘RLOF_INTERPOLATION_BSE = 1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nova_retention_fraction</div>
+<div class="line"><strong>Description</strong>: The mass accreted during a nova as fraction of mass transferred</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.001</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: beta_reverse_nova</div>
+<div class="line"><strong>Description</strong>: The fraction of mass ejected in a nova explosion which is accreted back onto the companion star. Set to -1 to automatically calculate based on a geometric argument, or 0 or positive to set the value.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Macros</strong>: [‘BETA_REVERSE_NOVAE_GEOMETRY = -1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: WD_accretion_rate_novae_upper_limit_hydrogen_donor</div>
+<div class="line"><strong>Description</strong>: Upper limit of the stable mass transfer rate onto a white dwarf that leads to novae when the donor is hydrogen rich: above this rate the mass transfer leads to stable burning.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘DONOR_RATE_ALGORITHM_CLAEYS2014 = -1’, ‘DONOR_RATE_ALGORITHM_BSE = -2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: WD_accretion_rate_novae_upper_limit_helium_donor</div>
+<div class="line"><strong>Description</strong>: Upper limit of the stable mass transfer rate onto a white dwarf that leads to novae when the donor is helium rich: above this rate the mass transfer leads to stable burning.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘DONOR_RATE_ALGORITHM_CLAEYS2014 = -1’, ‘DONOR_RATE_ALGORITHM_BSE = -2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: WD_accretion_rate_novae_upper_limit_other_donor</div>
+<div class="line"><strong>Description</strong>: Upper limit of the stable mass transfer rate onto a white dwarf that leads to novae when the donor is neither hydrogen nor helium rich: above this rate the mass transfer leads to stable burning.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘DONOR_RATE_ALGORITHM_CLAEYS2014 = -1’, ‘DONOR_RATE_ALGORITHM_BSE = -2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: WD_accretion_rate_new_giant_envelope_lower_limit_hydrogen_donor</div>
+<div class="line"><strong>Description</strong>: Lower limit of the mass transfer rate onto a white dwarf that leads to a the formation of a new giant envelope with a hydrogen-rich donor. Below this mass transfer leads to stable burning.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘DONOR_RATE_ALGORITHM_CLAEYS2014 = -1’, ‘DONOR_RATE_ALGORITHM_BSE = -2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: WD_accretion_rate_new_giant_envelope_lower_limit_helium_donor</div>
+<div class="line"><strong>Description</strong>: Lower limit of the mass transfer rate onto a white dwarf that leads to a the formation of a new giant envelope with a helium-rich donor. Below this mass transfer leads to stable burning.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘DONOR_RATE_ALGORITHM_CLAEYS2014 = -1’, ‘DONOR_RATE_ALGORITHM_BSE = -2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: WD_accretion_rate_new_giant_envelope_lower_limit_other_donor</div>
+<div class="line"><strong>Description</strong>: Lower limit of the mass transfer rate onto a white dwarf that leads to a the formation of a new giant envelope when the donor is neither hydrogen nor helium rich. Below this mass transfer leads to stable burning.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘DONOR_RATE_ALGORITHM_CLAEYS2014 = -1’, ‘DONOR_RATE_ALGORITHM_BSE = -2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: CRAP_parameter</div>
+<div class="line"><strong>Description</strong>: Tidally enhanced mass loss parameter. See Tout and Eggleton’s paper on the subject. (Was the parameter bb).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: individual_novae</div>
+<div class="line"><strong>Description</strong>: If individual_novae is True, novae are resolved such that each explosion is performed separtaely.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nova_timestep_accelerator_num</div>
+<div class="line"><strong>Description</strong>: The nova timestep is accelerated if the nova number exceeds nova_timestep_accelerator_num. If zero or negative, acceleration is off. See also nova_timestep_accelerator_index and nova_timestep_accelerator_max. Only used if individual_novae is on.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 100</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nova_timestep_accelerator_index</div>
+<div class="line"><strong>Description</strong>: The index at which the nova timestep is accelerated. A larger value gives longer timesteps. See also nova_timestep_accelerator_num and nova_timestep_accelerator_max. Only used if individual_novae is on.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.5</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nova_timestep_accelerator_max</div>
+<div class="line"><strong>Description</strong>: The nova timestep is accelerated by a factor that is capped at nova_timestep_accelerator_max. This parameter is ignored if it is zero or negative. See also nova_timestep_accelerator_num and nova_timestep_accelerator_index. Only used if individual_novae is on.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nonconservative_angmom_gamma</div>
+<div class="line"><strong>Description</strong>: Mass lost from the system (but NOT from a stellar wind) takes a fraction gamma of the orbital angular momentum with it. Set to -1 to take the specific angular momentum of the donor star. Set to -2 to take super-Eddington, nova and disk-wind angular momenta as if a wind from the accretor.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: -1</div>
+<div class="line"><strong>Macros</strong>: [‘RLOF_NONCONSERVATIVE_GAMMA_DONOR = -1’, ‘RLOF_NONCONSERVATIVE_GAMMA_ISOTROPIC = -2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: max_stellar_angmom_change</div>
+<div class="line"><strong>Description</strong>: Maxmimum fractional change in stellar angular momentum allowed before a timestep is rejected (0.05).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.05</div>
+</div>
+</div>
+<div class="section" id="section-nucsyn">
+<h2>Section: nucsyn<a class="headerlink" href="#section-nucsyn" title="Permalink to this headline">¶</a></h2>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: third_dup</div>
+<div class="line"><strong>Description</strong>: If True, enables third dredge up. Requires NUCSYN and NUCSYN_THIRD_DREDGE_UP.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: True</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: third_dup_multiplier</div>
+<div class="line"><strong>Description</strong>: Usage: –third_dup_multiplier <i> <f>. Multiplies the abundance of element <i> by <f> during third dredge up.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: 1.0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: NeNaMgAl</div>
+<div class="line"><strong>Description</strong>: Enables NeNaMgAl reaction network. Requires NUCSYN and NUCSYN_HBB.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nucsyn_network%d</div>
+<div class="line"><strong>Description</strong>: Usage: –nucsyn_network%d <boolean>. Turn a nuclear network on or off.</div>
+<div class="line"><strong>Parameter input type</strong>: Boolean(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nucsyn_network_error%d</div>
+<div class="line"><strong>Description</strong>: Usage: –nucsyn_network_error%d <f>. Threshold error in nuclear network solver for network %d.</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nucreacmult%d</div>
+<div class="line"><strong>Description</strong>: Usage: –nucreacmult%d <f>. Multiply nuclear reaction given by the integer %d (integer) by f (float).</div>
+<div class="line"><strong>Parameter input type</strong>: Float(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nucsyn_metallicity</div>
+<div class="line"><strong>Description</strong>: This sets the metallicity of the nucleosynthesis algorithms, i.e. the amount (by mass) of matter which is not hydrogen or helium. Usually you’d just set this with the metallicity parameter, but if you want the nucleosynthesis to be outside the range of the stellar evolution algorithm (e.g. Z=0 or Z=0.04) then you need to use nucsyn_metallicity. That said, it’s also outside the range of some of the nucleosynthesis algorithms as well, so you have been warned!</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Macros</strong>: [‘DEFAULT_TO_METALLICITY = -1’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: nucsyn_solver</div>
+<div class="line"><strong>Description</strong>: Choose the solver used in nuclear burning. 0 = KAPS_RENTROP is a Kaps-Rentrop scheme (fast, not great for stiff problems), 1 = LSODA (Adams/BSF switcher), 2 = CVODE library (<a class="reference external" href="https://computing.llnl.gov/projects/sundials">https://computing.llnl.gov/projects/sundials</a>. Default 0.</div>
+<div class="line"><strong>Parameter input type</strong>: Unsigned integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: initial_abundance_mix</div>
+<div class="line"><strong>Description</strong>: initial abundance mixture: 0=AG89, 1=Karakas 2002, 2=Lodders 2003, 3=Asplund 2005 (not available?), 4=Garcia Berro, 5=Grevesse Noels 1993</div>
+<div class="line"><strong>Parameter input type</strong>: Unsigned integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: init_abund</div>
+<div class="line"><strong>Description</strong>: Usage: –init_abund <i> <X>. Sets the initial abundance of isotope number <i> to mass fraction <X>.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: 0.02</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: init_abund_mult</div>
+<div class="line"><strong>Description</strong>: Usage: –init_abund_mult <i> <f>. Multiplies the initial abundance of isotope number <i> by <f>.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: 1.0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: init_abund_dex</div>
+<div class="line"><strong>Description</strong>: Usage: –init_abund_dex <i> <f>. Changes the initial abundance of isotope number <i> by <f> dex.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: 0.0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: init_abunds_only</div>
+<div class="line"><strong>Description</strong>: If True, outputs only the initial abundances, then exits.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: initial_abunds_only</div>
+<div class="line"><strong>Description</strong>: If True, outputs only the initial abundances, then exits.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: no_thermohaline_mixing</div>
+<div class="line"><strong>Description</strong>: If True, disables thermohaline mixing.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lithium_GB_post_Heflash</div>
+<div class="line"><strong>Description</strong>: Sets the lithium abundances after the helium flash. Requires NUCSYN and LITHIUM_TABLES.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lithium_GB_post_1DUP</div>
+<div class="line"><strong>Description</strong>: Sets the lithium abundance after first dredge up. Requires NUCSYN and LITHIUM_TABLES.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: lithium_hbb_multiplier</div>
+<div class="line"><strong>Description</strong>: Multiplies the lithium abundances on the AGB during HBB (based on Karakas/Fishlock et al models).Requires NUCSYN and LITHIUM_TABLES.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_decay_function</div>
+<div class="line"><strong>Description</strong>: Functional form which describes Li7 decay. Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Choices are: 0 expoential (see angelou_lithium_decay_time).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_LMMS_time</div>
+<div class="line"><strong>Description</strong>: Time at which lithium manufacture is triggered in a low-mass (convective) main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_MS_time</div>
+<div class="line"><strong>Description</strong>: Time at which lithium manufacture is triggered on the main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_HG_time</div>
+<div class="line"><strong>Description</strong>: Time at which lithium manufacture is triggered on the Hertzsprung gap (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_GB_time</div>
+<div class="line"><strong>Description</strong>: Time at which lithium manufacture is triggered on the giant branch (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_CHeB_time</div>
+<div class="line"><strong>Description</strong>: Time at which lithium manufacture is triggered during core helium burning (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_EAGB_time</div>
+<div class="line"><strong>Description</strong>: Time at which lithium manufacture is triggered on the early AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_TPAGB_time</div>
+<div class="line"><strong>Description</strong>: Time at which lithium manufacture is triggered on the thermally pulsing AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_LMMS_decay_time</div>
+<div class="line"><strong>Description</strong>: Decay time for surface lithium abundance during the low-mass (convective) main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_MS_decay_time</div>
+<div class="line"><strong>Description</strong>: Decay time for surface lithium abundance on the main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_HG_decay_time</div>
+<div class="line"><strong>Description</strong>: Decay time for surface lithium abundance on the Hertzsprung gap (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_GB_decay_time</div>
+<div class="line"><strong>Description</strong>: Decay time for surface lithium abundance on the giant branch (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_CHeB_decay_time</div>
+<div class="line"><strong>Description</strong>: Decay time for surface lithium abundance during core helium burning (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_EAGB_decay_time</div>
+<div class="line"><strong>Description</strong>: Decay time for surface lithium abundance on the early AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_TPAGB_decay_time</div>
+<div class="line"><strong>Description</strong>: Decay time for surface lithium abundance on the thermally pulsing AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_LMMS_massfrac</div>
+<div class="line"><strong>Description</strong>: Lithium mass fraction when its manufacture is triggered during the low-mass (convective) main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_MS_massfrac</div>
+<div class="line"><strong>Description</strong>: Lithium mass fraction when its manufacture is triggered on the main sequence (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_HG_massfrac</div>
+<div class="line"><strong>Description</strong>: Lithium mass fraction when its manufacture is triggered on the Hertzsprung gap (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_GB_massfrac</div>
+<div class="line"><strong>Description</strong>: Lithium mass fraction when its manufacture is triggered on the giant branch (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_CHeB_massfrac</div>
+<div class="line"><strong>Description</strong>: Lithium mass fraction when its manufacture is triggered during core helium burning (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_EAGB_massfrac</div>
+<div class="line"><strong>Description</strong>: Lithium mass fraction when its manufacture is triggered on the early AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_TPAGB_massfrac</div>
+<div class="line"><strong>Description</strong>: Lithium mass fraction when its manufacture is triggered on the thermally pulsing AGB (Myr). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0 (for the start, use 1e-6).</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_vrot_trigger</div>
+<div class="line"><strong>Description</strong>: Equatorial rotational velocity at which lithium manufacture is triggered (km/s). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: angelou_lithium_vrotfrac_trigger</div>
+<div class="line"><strong>Description</strong>: Fraction of Keplerian (breakup) equatorial rotational velocity at which lithium manufacture is triggered (must be <1, ignored if 0). Requires NUCSYN and NUCSYN_ANGELOU_LITHIUM. Ignored if 0.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+</div>
+<div class="section" id="section-output">
+<h2>Section: output<a class="headerlink" href="#section-output" title="Permalink to this headline">¶</a></h2>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: david_logging_function</div>
+<div class="line"><strong>Description</strong>: Function to choose which kind of information gets logged Requires DAVID. Choices are: 0= None, >0 for custom logging functions</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: cf_amanda_log</div>
+<div class="line"><strong>Description</strong>: Enable logging to compare to Amanda’s models.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: float_overflow_checks</div>
+<div class="line"><strong>Description</strong>: Turn on to enable floating-point overflow checks at the end of each timestep, if they are available. 0=off, 1=warn (stderr) on failure, 2=exit on failure (0)</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: save_pre_events_stardata</div>
+<div class="line"><strong>Description</strong>: Enable this to save a copy of stardata to stardata->pre_events_stardata just before an event.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disable_end_logging</div>
+<div class="line"><strong>Description</strong>: Disable the logging that happens at the end of the evolution.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: ensemble</div>
+<div class="line"><strong>Description</strong>: Turn on ensemble calculations and output.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: ensemble_filters_off</div>
+<div class="line"><strong>Description</strong>: Sets all ensemble filters to be off (FALSE) - these can then be enabled one-by-one with –ensemble_filter_[…] TRUE.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: ensemble_filter_%d</div>
+<div class="line"><strong>Description</strong>: Turn on or off ensemble filter <n>. For a list of filters, see ensemble_macros.h.</div>
+<div class="line"><strong>Parameter input type</strong>: Boolean(scanf)</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: ensemble_legacy_ensemble</div>
+<div class="line"><strong>Description</strong>: Turn on ensemble legacy population output.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: legacy_yields</div>
+<div class="line"><strong>Description</strong>: Turn on ensemble legacy yield output.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: ensemble_defer</div>
+<div class="line"><strong>Description</strong>: Defer ensemble output.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: ensemble_dt</div>
+<div class="line"><strong>Description</strong>: When doing ensemble calculations, data are stored and/or output every ensemble_dt Myr. See also ensemble, ensemble_logdt, ensemble_startlogtime.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: ensemble_logdt</div>
+<div class="line"><strong>Description</strong>: When doing ensemble calculations, and when logensembletimes is set, the ensemble is stored/output every ensemble_logdt Myr. See also ensemble, ensemble_dt, ensemble_startlogtime.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: ensemble_startlogtime</div>
+<div class="line"><strong>Description</strong>: Start log ensemble data storage/calculations/output at ensemble_startlogtime. See also ensemble, ensemble_dt, ensemble_startlogtime.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0.1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: ensemble_logtimes</div>
+<div class="line"><strong>Description</strong>: When doing ensemble calculations/output, set this to act at log times rather than linear times.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: postagb_legacy_logging</div>
+<div class="line"><strong>Description</strong>: Turn on post-AGB legacy logging.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: disc_legacy_logging</div>
+<div class="line"><strong>Description</strong>: Turn on disc legacy logging.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: EMP_logg_maximum</div>
+<div class="line"><strong>Description</strong>: Maximum logg that EMP stars are allowed to have. See Izzard et al 2009. See also CEMP_cfe_minimum, NEMP_nfe_minimum, EMP_minimum_age.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: EMP_minimum_age</div>
+<div class="line"><strong>Description</strong>: Minimum age that EMP stars are required to have. See Izzard et al 2009. See also CEMP_cfe_minimum, NEMP_nfe_minimum, EMP_logg_maximum.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: EMP_feh_maximum</div>
+<div class="line"><strong>Description</strong>: Maximum [Fe/H] that an EMP stars may have. See Izzard et al 2009. See also CEMP_cfe_minimum, NEMP_nfe_minimum, EMP_logg_maximum, EMP_minimum_age. Default -2.0.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: CEMP_cfe_minimum</div>
+<div class="line"><strong>Description</strong>: Minimum [C/Fe] that CEMP stars are required to have. See Izzard et al 2009. See also NEMP_cfe_minimum, EMP_logg_maximum, EMP_minimum_age. Default 0.7.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: NEMP_cfe_minimum</div>
+<div class="line"><strong>Description</strong>: Minimum [N/Fe] that NEMP stars are required to have. See Izzard et al 2009, Pols et al. 2012. See also CEMP_cfe_minimum, EMP_logg_maximum, EMP_minimum_age. Default 1.0.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: thick_disc_start_age</div>
+<div class="line"><strong>Description</strong>: Lookback time for the start of the thick disc star formation, e.g. 13e3 Myr. Units = Myr.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: thick_disc_end_age</div>
+<div class="line"><strong>Description</strong>: Lookback time for the end of the thick disc star formation, e.g. 4e3 Myr. Units = Myr.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: thick_disc_logg_min</div>
+<div class="line"><strong>Description</strong>: Minimum logg for thick disc giants to be logged.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: thick_disc_logg_max</div>
+<div class="line"><strong>Description</strong>: Maximum logg for thick disc giants to be logged.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: escape_velocity</div>
+<div class="line"><strong>Description</strong>: A parameter used in constructing galactic chemical evolution (GCE) models. If the stellar wind velocity exceeds this value, any chemical yield from the wind is ignored, i.e. assumed lost. (km/s) Requires NUCSYN_GCE_OUTFLOW_CHECKS. Default 1e9 km/s. See also escape_fraction.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: escape_fraction</div>
+<div class="line"><strong>Description</strong>: A parameter used in constructing galactic chemical evolution (GCE) models. If the stellar wind velocity exceeds this value, any chemical yield from the wind is ignored, i.e. assumed lost. (km/s) Requires NUCSYN_GCE_OUTFLOW_CHECKS. Default 0.0. See also escape_velocity.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: colour_log</div>
+<div class="line"><strong>Description</strong>: If set to True, thelog is coloured with ANSI colour formatting. Requires FILE_LOG to be defined.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: log_filename</div>
+<div class="line"><strong>Description</strong>: Location of the output logging filename. If set to “/dev/null†then there is no logging.</div>
+<div class="line"><strong>Parameter input type</strong>: String</div>
+<div class="line"><strong>Default value</strong>: /tmp/c_log.dat</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: stopfile</div>
+<div class="line"><strong>Description</strong>: File which, when it exists, will stop the current binary_c repeat run.</div>
+<div class="line"><strong>Parameter input type</strong>: String</div>
+<div class="line"><strong>Default value</strong>:</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: stardata_dump_filename</div>
+<div class="line"><strong>Description</strong>: Location of the stardata dump file.</div>
+<div class="line"><strong>Parameter input type</strong>: String</div>
+<div class="line"><strong>Default value</strong>:</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: stardata_load_filename</div>
+<div class="line"><strong>Description</strong>: Location of the stardata file to load.</div>
+<div class="line"><strong>Parameter input type</strong>: String</div>
+<div class="line"><strong>Default value</strong>:</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: api_log_filename_prefix</div>
+<div class="line"><strong>Description</strong>: Location of the output logging filename prefix for the API. If set to “/dev/null†then there is no logging.</div>
+<div class="line"><strong>Parameter input type</strong>: String</div>
+<div class="line"><strong>Default value</strong>:</div>
+<div class="line"><strong>Extra</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: hrdiag_output</div>
+<div class="line"><strong>Description</strong>: Set to True to output high time-resolution Hertzstrpung-Russell diagram information. Requires HRDIAG.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: internal_buffering</div>
+<div class="line"><strong>Description</strong>: Experimental. Set to non-zero values to implement internal buffering prior to output. For use with binary_grid, you shouldn’t really be playing with this.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 2</div>
+<div class="line"><strong>Macros</strong>: [‘INTERNAL_BUFFERING_OFF = 0’, ‘INTERNAL_BUFFERING_PRINT = 1’, ‘INTERNAL_BUFFERING_STORE = 2’]</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: eccentric_RLOF_model</div>
+<div class="line"><strong>Description</strong>: Chooses which model is used to handle eccentric RLOF. Default is RLOF_ECCENTRIC_AS_CIRCULAR, i.e. ignore the eccentricity. Note: requires force_corotation_of_primary_and_orbit to be FALSE.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: force_circularization_on_RLOF</div>
+<div class="line"><strong>Description</strong>: If True forces circularization of stars and orbit when RLOF starts, this is as in the BSE algorithm. (True)</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: True</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: wtts_log</div>
+<div class="line"><strong>Description</strong>: If True, enables log file output for WTTS2.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: False</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: fabian_imf_log_time</div>
+<div class="line"><strong>Description</strong>: Time at which to output for Fabian Schneider’s IMF project. Requires FABIAN_IMF_LOG</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: fabian_imf_log_timestep</div>
+<div class="line"><strong>Description</strong>: Timestep for Fabian Schneider’s IMF project logging. Requires FABIAN_IMF_LOG</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: version</div>
+<div class="line"><strong>Description</strong>: Display binary_c version and build information. Also performs timing tests.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: dumpversion</div>
+<div class="line"><strong>Description</strong>: Display binary_c version number (short format).</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: version_only</div>
+<div class="line"><strong>Description</strong>: Display binary_c version number and build information, but do not perform timing tests or anything that requires stardata to be non-NULL.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+</div>
+<div class="section" id="section-input">
+<h2>Section: input<a class="headerlink" href="#section-input" title="Permalink to this headline">¶</a></h2>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_dir</div>
+<div class="line"><strong>Description</strong>: Location of MINT algorithm data.</div>
+<div class="line"><strong>Parameter input type</strong>: String</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_data_cleanup</div>
+<div class="line"><strong>Description</strong>: Activate checks on incoming data to try to account for problems. Will make data-loading slower, but may fix a few things.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_MS_rejuvenation</div>
+<div class="line"><strong>Description</strong>: Turn on or off (hydrogen) main-sequence rejuvenation.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_remesh</div>
+<div class="line"><strong>Description</strong>: Turn on or off MINT’s remeshing.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_use_ZAMS_profiles</div>
+<div class="line"><strong>Description</strong>: Use chemical profiles at the ZAMS if MINT_use_ZAMS_profiles is TRUE, otherwise set homogeneous abundances. (Default is TRUE, so we use the profiles if they are available.)</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_disable_grid_load_warnings</div>
+<div class="line"><strong>Description</strong>: Use this to explicitly disable MINT’s warnings when loading a grid with, e.g., missing or too much data.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_Kippenhahn</div>
+<div class="line"><strong>Description</strong>: Turn on or off MINT’s Kippenhahn diagrams. If 0, off, if 1, output star 1 (index 0), if 2 output star 2 (index 1). Default 0.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_Kippenhahn_stellar_type</div>
+<div class="line"><strong>Description</strong>: Stellar type selector for Kippenhahn plots. Set to -1 to ignore, otherwise the stellar type number for which Kippenhahn plot data should be output.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’]</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_Kippenhahn_companion_stellar_type</div>
+<div class="line"><strong>Description</strong>: Companion stellar type selector for Kippenhahn plots. Set to -1 to ignore, otherwise the stellar type number for the companion for which Kippenhahn plot data should be output.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Macros</strong>: [‘LOW_MASS_MS = 0’, ‘MS = 1’, ‘HG = 2’, ‘GIANT_BRANCH = 3’, ‘CHeB = 4’, ‘EAGB = 5’, ‘TPAGB = 6’, ‘HeMS = 7’, ‘HeHG = 8’, ‘HeGB = 9’, ‘HeWD = 10’, ‘COWD = 11’, ‘ONeWD = 12’, ‘NS = 13’, ‘BH = 14’, ‘MASSLESS_REMNANT = 15’]</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_nuclear_burning</div>
+<div class="line"><strong>Description</strong>: Turn on or off MINT’s nuclear burning algorithm.</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_minimum_shell_mass</div>
+<div class="line"><strong>Description</strong>: Minimum shell mass in MINT’s nuclear burning routines.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: MINT_maximum_shell_mass</div>
+<div class="line"><strong>Description</strong>: Maximum shell mass in MINT’s nuclear burning routines. :</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>:</div>
+</div>
+</div>
+<div class="section" id="section-i-o">
+<h2>Section: i/o<a class="headerlink" href="#section-i-o" title="Permalink to this headline">¶</a></h2>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: go</div>
+<div class="line"><strong>Description</strong>: batchmode control command</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: gogo</div>
+<div class="line"><strong>Description</strong>: batchmode control command</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: reset_stars</div>
+<div class="line"><strong>Description</strong>: Reset the star structures. Used in batchmode</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: reset_stars_defaults</div>
+<div class="line"><strong>Description</strong>: Reset the star structures and set defaults. Used in batchmode</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: defaults</div>
+<div class="line"><strong>Description</strong>: Reset all defaults. Used in batchmode</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: echo</div>
+<div class="line"><strong>Description</strong>: Activate batchmode command echoing, i.e. when you enter a command, binary_c repeats the command then executes it.</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: noecho</div>
+<div class="line"><strong>Description</strong>: Deactivate batchmode command echoing. See ‘echo’.</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: noechonow</div>
+<div class="line"><strong>Description</strong>: Deactivate batchmode command echoing. See ‘echo’.</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: bye</div>
+<div class="line"><strong>Description</strong>: Quit binary_c. Used in batchmode.</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: fin</div>
+<div class="line"><strong>Description</strong>: batchmode control command</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: reset_prefs</div>
+<div class="line"><strong>Description</strong>: Reset preferences struct. Used in batchmode</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: status</div>
+<div class="line"><strong>Description</strong>: Output batchmode status information.</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+</div>
+<div class="section" id="section-algorithms">
+<h2>Section: algorithms<a class="headerlink" href="#section-algorithms" title="Permalink to this headline">¶</a></h2>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: repeat</div>
+<div class="line"><strong>Description</strong>: If > 1, repeats the system as many times as required. Handy if you’re using Monte-Carlo kicks and want to sample the parameter space well. Also, if you are running speed tests this is good to give a statistically more reasonable result. (See e.g. ‘tbse pgo’).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 1</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: random_systems</div>
+<div class="line"><strong>Description</strong>: Experimental. Use this to apply random initial system parameters (masses, separations, etc.). Useful for testing only.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+</div>
+<div class="section" id="section-misc">
+<h2>Section: misc<a class="headerlink" href="#section-misc" title="Permalink to this headline">¶</a></h2>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: random_seed</div>
+<div class="line"><strong>Description</strong>: Random number seed, usually a (possibly negative) integer. Useful for exactly reproducing the evolution of a system which involves a kick (which is a Monte-Carlo, i.e. pseudorandom, process).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: random_systems_seed</div>
+<div class="line"><strong>Description</strong>: Random number seed for the generation of random systems. See random_systems and random_seed.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: random_skip</div>
+<div class="line"><strong>Description</strong>: Skip the first <random_seed> random numbers that are generated. Usually this is 0 so they are all used.</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: idum</div>
+<div class="line"><strong>Description</strong>: [NB: deprecated, please use ‘random_seed’ instead.] Random number seed, usually a (possibly negative) integer. Useful for exactly reproducing the evolution of a system which involves a kick (which is a Monte-Carlo, i.e. pseudorandom, process).</div>
+<div class="line"><strong>Parameter input type</strong>: Integer</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: reverse_time</div>
+<div class="line"><strong>Description</strong>: Make time go backwards. To be considered very experimental!</div>
+<div class="line"><strong>Parameter input type</strong>: True|False</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: start_time</div>
+<div class="line"><strong>Description</strong>: Start time for the simulation.</div>
+<div class="line"><strong>Parameter input type</strong>: Float</div>
+<div class="line"><strong>Default value</strong>: 0</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: warmup_cpu</div>
+<div class="line"><strong>Description</strong>: Uses the CPU at maximum power the given number of seconds, prior to running normal stellar evolution.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: help</div>
+<div class="line"><strong>Description</strong>: Display help pages. Usage: –help <help topic>.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: argopts</div>
+<div class="line"><strong>Description</strong>: Display argument options. Usage: –argopts <argument>.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: help_all</div>
+<div class="line"><strong>Description</strong>: Display all help pages.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>Parameter</strong>: list_args</div>
+<div class="line"><strong>Description</strong>: Display list of arguments with their default values. Useful for batchmode.</div>
+<div class="line"><strong>Parameter input type</strong>: *</div>
+<div class="line"><strong>Default value</strong>: NULL</div>
+<div class="line"><strong>Extra</strong>: Ignore</div>
+</div>
+</div>
+</div>
+
+
+ </div>
+
+ </div>
+ <footer>
+
+ <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
+
+ <a href="grid_options_descriptions.html" class="btn btn-neutral float-right" title="Population grid code options" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
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+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+<li class="toctree-l2 current"><a class="current reference internal" href="#">custom_logging_functions module</a></li>
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+ <div class="section" id="module-binarycpython.utils.custom_logging_functions">
+<span id="custom-logging-functions-module"></span><h1>custom_logging_functions module<a class="headerlink" href="#module-binarycpython.utils.custom_logging_functions" title="Permalink to this headline">¶</a></h1>
+<p>Module containing functions for the custom logging functionality.
+The functions here make it possible for the user to define binaryc output logs on runtime</p>
+<dl class="py function">
+<dt id="binarycpython.utils.custom_logging_functions.autogen_C_logging_code">
+<code class="sig-prename descclassname">binarycpython.utils.custom_logging_functions.</code><code class="sig-name descname">autogen_C_logging_code</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">logging_dict</span></em>, <em class="sig-param"><span class="n">verbose</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/custom_logging_functions.html#autogen_C_logging_code"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.custom_logging_functions.autogen_C_logging_code" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that autogenerates PRINTF statements for binaryc.
+Input is a dictionary where the key is the header of that logging line
+and items which are lists of parameters that will be put in that logging line</p>
+<p>The list elements are all appended to ‘stardata->’ in the autogenerated code.</p>
+<p class="rubric">Example</p>
+<p>Input dictionary should look like this:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">{</span><span class="s1">'MY_STELLAR_DATA'</span><span class="p">:</span>
+ <span class="p">[</span>
+ <span class="s1">'model.time'</span><span class="p">,</span>
+ <span class="s1">'star[0].mass'</span><span class="p">,</span>
+ <span class="s1">'model.probability'</span><span class="p">,</span>
+ <span class="s1">'model.dt'</span>
+ <span class="p">]</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>logging_dict</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – Dictionary containing lists of parameters that binary_c has to output. The keys are used by binary_c as start of the sentence.</p></li>
+<li><p><strong>verbose</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – Level of verbosity. Defaults to zero if not set explicilty.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>string containing C printf statement built to output the parameters given as input.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.custom_logging_functions.binary_c_log_code">
+<code class="sig-prename descclassname">binarycpython.utils.custom_logging_functions.</code><code class="sig-name descname">binary_c_log_code</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">code</span></em>, <em class="sig-param"><span class="n">verbose</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/custom_logging_functions.html#binary_c_log_code"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.custom_logging_functions.binary_c_log_code" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to construct the code to construct the custom logging function</p>
+<p class="rubric">Example</p>
+<p>Code to log and terminate evolution when the primary star becomes a NS:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">if</span><span class="p">(</span><span class="n">stardata</span><span class="o">-></span><span class="n">star</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">stellar_type</span><span class="o">>=</span><span class="n">NS</span><span class="p">)</span>
+<span class="p">{</span>
+ <span class="k">if</span> <span class="p">(</span><span class="n">stardata</span><span class="o">-></span><span class="n">model</span><span class="o">.</span><span class="n">time</span> <span class="o"><</span> <span class="n">stardata</span><span class="o">-></span><span class="n">model</span><span class="o">.</span><span class="n">max_evolution_time</span><span class="p">)</span>
+ <span class="p">{</span>
+ <span class="n">Printf</span><span class="p">(</span><span class="s2">"EXAMPLE_LOG_CO </span><span class="si">%30.12e</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%d</span><span class="s2"> </span><span class="si">%d</span><span class="se">\n</span><span class="s2">"</span><span class="p">,</span>
+ <span class="o">//</span>
+ <span class="n">stardata</span><span class="o">-></span><span class="n">model</span><span class="o">.</span><span class="n">time</span><span class="p">,</span> <span class="o">//</span> <span class="mi">1</span>
+
+ <span class="n">stardata</span><span class="o">-></span><span class="n">star</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">mass</span><span class="p">,</span> <span class="o">//</span><span class="mi">2</span>
+ <span class="n">stardata</span><span class="o">-></span><span class="n">previous_stardata</span><span class="o">-></span><span class="n">star</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">mass</span><span class="p">,</span> <span class="o">//</span><span class="mi">3</span>
+
+ <span class="n">stardata</span><span class="o">-></span><span class="n">star</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">radius</span><span class="p">,</span> <span class="o">//</span><span class="mi">4</span>
+ <span class="n">stardata</span><span class="o">-></span><span class="n">previous_stardata</span><span class="o">-></span><span class="n">star</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">radius</span><span class="p">,</span> <span class="o">//</span><span class="mi">5</span>
+
+ <span class="n">stardata</span><span class="o">-></span><span class="n">star</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">stellar_type</span><span class="p">,</span> <span class="o">//</span><span class="mi">6</span>
+ <span class="n">stardata</span><span class="o">-></span><span class="n">previous_stardata</span><span class="o">-></span><span class="n">star</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">stellar_type</span> <span class="o">//</span><span class="mi">7</span>
+ <span class="p">);</span>
+ <span class="p">};</span>
+ <span class="o">/*</span> <span class="n">Kill</span> <span class="n">the</span> <span class="n">simulation</span> <span class="n">to</span> <span class="n">save</span> <span class="n">time</span> <span class="o">*/</span>
+ <span class="n">stardata</span><span class="o">-></span><span class="n">model</span><span class="o">.</span><span class="n">max_evolution_time</span> <span class="o">=</span> <span class="n">stardata</span><span class="o">-></span><span class="n">model</span><span class="o">.</span><span class="n">time</span> <span class="o">-</span> <span class="n">stardata</span><span class="o">-></span><span class="n">model</span><span class="o">.</span><span class="n">dtm</span><span class="p">;</span>
+<span class="p">};</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>code</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – Exact c-statement to output information in binary_c. Can be wrapped in logical statements.</p></li>
+<li><p><strong>verbose</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – Level of verbosity. Defaults to zero if not set explicilty.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>string containing the custom logging code. This includes all the includes and other definitions. This code will be used as the shared library</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.custom_logging_functions.binary_c_write_log_code">
+<code class="sig-prename descclassname">binarycpython.utils.custom_logging_functions.</code><code class="sig-name descname">binary_c_write_log_code</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">code</span></em>, <em class="sig-param"><span class="n">filename</span></em>, <em class="sig-param"><span class="n">verbose</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/custom_logging_functions.html#binary_c_write_log_code"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.custom_logging_functions.binary_c_write_log_code" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to write the generated logging code to a file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>code</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – string containing the custom logging code to write to a file.</p></li>
+<li><p><strong>filename</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – target filename.</p></li>
+<li><p><strong>verbose</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – Level of verbosity. Defaults to zero if not set explicilty.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.custom_logging_functions.compile_shared_lib">
+<code class="sig-prename descclassname">binarycpython.utils.custom_logging_functions.</code><code class="sig-name descname">compile_shared_lib</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">code</span></em>, <em class="sig-param"><span class="n">sourcefile_name</span></em>, <em class="sig-param"><span class="n">outfile_name</span></em>, <em class="sig-param"><span class="n">verbose</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/custom_logging_functions.html#compile_shared_lib"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.custom_logging_functions.compile_shared_lib" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to write the custom logging code to a file and then compile it.</p>
+<p>TODO: nicely put in the -fPIC
+TODO: consider returning a status</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>code</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – string containing the custom logging code</p></li>
+<li><p><strong>sourcefile_name</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – name of the file that will contain the code</p></li>
+<li><p><strong>outfile_name</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – name of the file that will be the shared library</p></li>
+<li><p><strong>verbose</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – Level of verbosity. Defaults to zero if not set explicilty.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.custom_logging_functions.create_and_load_logging_function">
+<code class="sig-prename descclassname">binarycpython.utils.custom_logging_functions.</code><code class="sig-name descname">create_and_load_logging_function</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">custom_logging_code</span></em>, <em class="sig-param"><span class="n">verbose</span><span class="o">=</span><span class="default_value">0</span></em>, <em class="sig-param"><span class="n">custom_tmp_dir</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/custom_logging_functions.html#create_and_load_logging_function"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.custom_logging_functions.create_and_load_logging_function" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to automatically compile the shared library with the given
+custom logging code and load it with ctypes.</p>
+<p>This function is more or less the main function of this module and unless you know what you’re doing with the other functions
+I recommend using this in function in combination with a function that generates the exact code (like <code class="xref py py-meth docutils literal notranslate"><span class="pre">binary_c_log_code()</span></code>)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>custom_logging_code</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – string containing the custom logging code</p></li>
+<li><p><strong>verbose</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – Level of verbosity. Defaults to zero if not set explicilty.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>memory adress of the custom logging function in a int type.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.custom_logging_functions.from_binary_c_config">
+<code class="sig-prename descclassname">binarycpython.utils.custom_logging_functions.</code><code class="sig-name descname">from_binary_c_config</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">config_file</span></em>, <em class="sig-param"><span class="n">flag</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/custom_logging_functions.html#from_binary_c_config"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.custom_logging_functions.from_binary_c_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to run the binaryc_config command with flags</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config_file</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – binary_c-config filepath TODO: change the name of this</p></li>
+<li><p><strong>flag</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – flag used in the binary_c-config call.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the result of <binary_c-config> <flag></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.custom_logging_functions.return_compilation_dict">
+<code class="sig-prename descclassname">binarycpython.utils.custom_logging_functions.</code><code class="sig-name descname">return_compilation_dict</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">verbose</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/custom_logging_functions.html#return_compilation_dict"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.custom_logging_functions.return_compilation_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to build the compile command for the shared library</p>
+<p>Inspired by binary_c_inline_config command in perl</p>
+<p>TODO: this function still has some cleaning up to do wrt default values for the compile command
+# <a class="reference external" href="https://developers.redhat.com/blog/2018/03/21/compiler-and-linker-flags-gcc/">https://developers.redhat.com/blog/2018/03/21/compiler-and-linker-flags-gcc/</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>verbose</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – Level of verbosity. Defaults to zero if not set explicilty.</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>string containing the command to build the shared library</p>
+</dd>
+</dl>
+</dd></dl>
+
+</div>
+
+
+ </div>
+
+ </div>
+ <footer>
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+ <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
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+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+<li class="toctree-l2"><a class="reference internal" href="custom_logging_functions.html">custom_logging_functions module</a></li>
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+ <div class="section" id="module-binarycpython.utils.distribution_functions">
+<span id="distribution-functions-module"></span><h1>distribution_functions module<a class="headerlink" href="#module-binarycpython.utils.distribution_functions" title="Permalink to this headline">¶</a></h1>
+<p>Module containing the predefined distribution functions</p>
+<p>The user can use any of these distribution functions to
+generate probability distributions for sampling populations</p>
+<dl class="simple">
+<dt>There are distributions for the following parameters:</dt><dd><ul class="simple">
+<li><p>mass</p></li>
+<li><p>period</p></li>
+<li><p>mass ratio</p></li>
+<li><p>binary fraction</p></li>
+</ul>
+</dd>
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><dl class="simple">
+<dt>TODO: make some things globally present? rob does this in his module..i guess it saves</dt><dd><p>calculations but not sure if im gonna do that now</p>
+</dd>
+</dl>
+</li>
+<li><p>TODO: add eccentricity distribution: thermal</p></li>
+<li><p>TODO: Add SFH distributions depending on redshift</p></li>
+<li><p>TODO: Add metallicity distributions depending on redshift</p></li>
+<li><p>TODO: Add initial rotational velocity distributions</p></li>
+<li><p>TODO: make an n-part powerlaw thats general enough to fix the three part and the 4 part</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.Arenou2010_binary_fraction">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">Arenou2010_binary_fraction</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#Arenou2010_binary_fraction"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.Arenou2010_binary_fraction" title="Permalink to this definition">¶</a></dt>
+<dd><p>Arenou 2010 function for the binary fraction as f(M1)</p>
+<p>GAIA-C2-SP-OPM-FA-054
+www.rssd.esa.int/doc_fetch.php?id=2969346</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass to evaluate the distribution at</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>binary fraction at m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.Izzard2012_period_distribution">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">Izzard2012_period_distribution</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">P</span></em>, <em class="sig-param"><span class="n">M1</span></em>, <em class="sig-param"><span class="n">log10Pmin</span><span class="o">=</span><span class="default_value">1</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#Izzard2012_period_distribution"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.Izzard2012_period_distribution" title="Permalink to this definition">¶</a></dt>
+<dd><p>period distribution which interpolates between
+Duquennoy and Mayor 1991 at low mass (G/K spectral type <~1.15Msun)
+and Sana et al 2012 at high mass (O spectral type >~16.3Msun)</p>
+<p>This gives dN/dlogP, i.e. DM/Raghavan’s Gaussian in log10P at low mass
+and Sana’s power law (as a function of logP) at high mass</p>
+<p>TODO: fix this function</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – period</p></li>
+<li><p><strong>M1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Primary star mass</p></li>
+<li><p><strong>log10Pmin</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – minimum period in base log10 (optional)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ of interpolated distribution function at P and M1</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.Kroupa2001">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">Kroupa2001</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em>, <em class="sig-param"><span class="n">newopts</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#Kroupa2001"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.Kroupa2001" title="Permalink to this definition">¶</a></dt>
+<dd><p>Probability distribution function for kroupa 2001 IMF, where the default values to the
+three_part_powerlaw are: default = {“m0â€: 0.1, “m1â€: 0.5, “m2â€: 1, “mmaxâ€: 100, “p1â€: -1.3, “p2â€: -2.3,â€p3â€: -2.3}</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass to evaluate the distribution at</p></li>
+<li><p><strong>newopts</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>]) – optional dict to override the default values.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ of distribution function evaluated at m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.Moe_de_Stefano_2017_multiplicity_fractions">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">Moe_de_Stefano_2017_multiplicity_fractions</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">options</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#Moe_de_Stefano_2017_multiplicity_fractions"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.Moe_de_Stefano_2017_multiplicity_fractions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that creates a list of probability fractions and
+normalizes and merges them according to the users choice.</p>
+<p>TODO: make an extrapolation functionality in this. log10(1.6e1)
+is low, we can probably go a bit further</p>
+<p>The default result that is returned when sampling the mass outside
+of the mass range is now the last known value</p>
+<p>Returns a list of multiplicity fractions for a given input of mass</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.Moe_de_Stefano_2017_pdf">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">Moe_de_Stefano_2017_pdf</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">options</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#Moe_de_Stefano_2017_pdf"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.Moe_de_Stefano_2017_pdf" title="Permalink to this definition">¶</a></dt>
+<dd><p>Moe & distefano function to calculate the probability density.</p>
+<p>takes a dictionary as input (in options) with options:</p>
+<p>M1, M2, M3, M4 => masses (Msun) [M1 required, rest optional]
+P, P2, P3 => periods (days) [number: none=binary, 2=triple, 3=quadruple]
+ecc, ecc2, ecc3 => eccentricities [numbering as for P above]</p>
+<p>mmin => minimum allowed stellar mass (default 0.07)
+mmax => maximum allowed stellar mass (default 80.0)</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.build_q_table">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">build_q_table</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">options</span></em>, <em class="sig-param"><span class="n">m</span></em>, <em class="sig-param"><span class="n">p</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#build_q_table"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.build_q_table" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.calc_P_integral">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">calc_P_integral</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">options</span></em>, <em class="sig-param"><span class="n">min_P</span></em>, <em class="sig-param"><span class="n">integrals_string</span></em>, <em class="sig-param"><span class="n">interpolator_name</span></em>, <em class="sig-param"><span class="n">mass_string</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#calc_P_integral"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.calc_P_integral" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to calculate the P integral</p>
+<p>We need to renormalize this because min_per > 0, and not all periods should be included</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.calc_e_integral">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">calc_e_integral</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">options</span></em>, <em class="sig-param"><span class="n">integrals_string</span></em>, <em class="sig-param"><span class="n">interpolator_name</span></em>, <em class="sig-param"><span class="n">mass_string</span></em>, <em class="sig-param"><span class="n">period_string</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#calc_e_integral"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.calc_e_integral" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to calculate the P integral</p>
+<p>We need to renormalize this because min_per > 0, and not all periods should be included</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.calc_total_probdens">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">calc_total_probdens</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">prob_dict</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#calc_total_probdens"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.calc_total_probdens" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to calculate the total probability density</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.calculate_constants_three_part_powerlaw">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">calculate_constants_three_part_powerlaw</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m0</span></em>, <em class="sig-param"><span class="n">m1</span></em>, <em class="sig-param"><span class="n">m2</span></em>, <em class="sig-param"><span class="n">m_max</span></em>, <em class="sig-param"><span class="n">p1</span></em>, <em class="sig-param"><span class="n">p2</span></em>, <em class="sig-param"><span class="n">p3</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#calculate_constants_three_part_powerlaw"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.calculate_constants_three_part_powerlaw" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to calculate the constants for a three-part powerlaw</p>
+<p>TODO: use the powerlaw_constant function to calculate all these values</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m0</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – lower bound mass</p></li>
+<li><p><strong>m1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – second boundary, between the first slope and the second slope</p></li>
+<li><p><strong>m2</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – third boundary, between the second slope and the third slope</p></li>
+<li><p><strong>m_max</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – upper bound mass</p></li>
+<li><p><strong>p1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – first slope</p></li>
+<li><p><strong>p2</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – second slope</p></li>
+<li><p><strong>p3</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – third slope</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>array of normalisation constants</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.const">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">const</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">min_bound</span></em>, <em class="sig-param"><span class="n">max_bound</span></em>, <em class="sig-param"><span class="n">val</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#const"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.const" title="Permalink to this definition">¶</a></dt>
+<dd><p>a constant distribution function between min=min_bound and max=max_bound.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>min_bound</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – lower bound of the range</p></li>
+<li><p><strong>max_bound</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – upper bound of the range</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>returns 0</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>returns the value of 1/(max_bound-min_bound) If val is provided, it will check whether min_bound < val <= max_bound. if not</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.cosmic_SFH_madau_dickinson2014">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">cosmic_SFH_madau_dickinson2014</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">z</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#cosmic_SFH_madau_dickinson2014"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.cosmic_SFH_madau_dickinson2014" title="Permalink to this definition">¶</a></dt>
+<dd><p>Cosmic star formation history distribution from Madau & Dickonson 2014 (<a class="reference external" href="https://arxiv.org/pdf/1403.0007.pdf">https://arxiv.org/pdf/1403.0007.pdf</a>)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>z</strong> – redshift</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Cosmic star formation rate in Solarmass year^-1 megaparsec^-3</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.duquennoy1991">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">duquennoy1991</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">logper</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#duquennoy1991"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.duquennoy1991" title="Permalink to this definition">¶</a></dt>
+<dd><p>Period distribution from Duquennoy + Mayor 1991. Evaluated the function gaussian(logper, 4.8, 2.3, -2, 12)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>logper</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – logarithm of period to evaluate the distribution at</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ at gaussian(logper, 4.8, 2.3, -2, 12)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.fill_data">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">fill_data</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">sample_values</span></em>, <em class="sig-param"><span class="n">data_dict</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#fill_data"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.fill_data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that returns the normalized array of values for given logmass and logperiod
+used for the e and q values</p>
+<p>TODO: make sure we do the correct thing with the dstep</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.flat">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">flat</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#flat"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.flat" title="Permalink to this definition">¶</a></dt>
+<dd><p>Dummy distribution function that returns 1</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>1</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>a flat uniform distribution</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.flatsections">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">flatsections</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">opts</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#flatsections"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.flatsections" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to generate flat distributions, possibly in multiple sections</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>) – mass ratio value</p></li>
+<li><p><strong>opts</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – list containing the flat sections. Which are themselves dictionaries, with keys “maxâ€: upper bound, “minâ€: lower bound and “heightâ€: value</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>probability of that mass ratio.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.gaussian">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">gaussian</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">mean</span></em>, <em class="sig-param"><span class="n">sigma</span></em>, <em class="sig-param"><span class="n">gmin</span></em>, <em class="sig-param"><span class="n">gmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#gaussian"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.gaussian" title="Permalink to this definition">¶</a></dt>
+<dd><p>Gaussian distribution function. used for e..g Duquennoy + Mayor 1991</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – location at which to evaluate the distribution</p></li>
+<li><p><strong>mean</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mean of the gaussian</p></li>
+<li><p><strong>sigma</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – standard deviation of the gaussian</p></li>
+<li><p><strong>gmin</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – lower bound of the range to calculate the probabilities in</p></li>
+<li><p><strong>gmax</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – upper bound of the range to calculate the probabilities in</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ of the gaussian distribution between the boundaries, evaluated at x</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.gaussian_func">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">gaussian_func</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">x</span></em>, <em class="sig-param"><span class="n">mean</span></em>, <em class="sig-param"><span class="n">sigma</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#gaussian_func"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.gaussian_func" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to evaluate a gaussian at a given point, but this time without any boundaries.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – location at which to evaluate the distribution</p></li>
+<li><p><strong>mean</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mean of the gaussian</p></li>
+<li><p><strong>sigma</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – standard deviation of the gaussian</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>value of the gaussian at x</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.gaussian_normalizing_const">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">gaussian_normalizing_const</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">mean</span></em>, <em class="sig-param"><span class="n">sigma</span></em>, <em class="sig-param"><span class="n">gmin</span></em>, <em class="sig-param"><span class="n">gmax</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#gaussian_normalizing_const"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.gaussian_normalizing_const" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to calculate the normalisation constant for the gaussian</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>mean</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mean of the gaussian</p></li>
+<li><p><strong>sigma</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – standard deviation of the gaussian</p></li>
+<li><p><strong>gmin</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – lower bound of the range to calculate the probabilities in</p></li>
+<li><p><strong>gmax</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – upper bound of the range to calculate the probabilities in</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>normalisation constant for the gaussian distribution(mean, sigma) between gmin and gmax</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.get_integration_constant_q">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">get_integration_constant_q</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">q_interpolator</span></em>, <em class="sig-param"><span class="n">tmp_table</span></em>, <em class="sig-param"><span class="n">qdata</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#get_integration_constant_q"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.get_integration_constant_q" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to integrate the q interpolator and return the integration constant</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.get_max_multiplicity">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">get_max_multiplicity</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">multiplicity_array</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#get_max_multiplicity"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.get_max_multiplicity" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to get the maximum multiplicity</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.imf_chabrier2003">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">imf_chabrier2003</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#imf_chabrier2003"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.imf_chabrier2003" title="Permalink to this definition">¶</a></dt>
+<dd><p>Probability distribution function for IMF of Chabrier 2003 PASP 115:763-795</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass to evaluate the distribution at</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ of distribution function evaluated at m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.imf_scalo1986">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">imf_scalo1986</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#imf_scalo1986"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.imf_scalo1986" title="Permalink to this definition">¶</a></dt>
+<dd><p>Probability distribution function for Scalo 1986 IMF (defined up until 80Msol): three_part_powerlaw(m, 0.1, 1.0, 2.0, 80.0, -2.35, -2.35, -2.70)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass to evaluate the distribution at</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ of distribution function evaluated at m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.imf_scalo1998">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">imf_scalo1998</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#imf_scalo1998"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.imf_scalo1998" title="Permalink to this definition">¶</a></dt>
+<dd><p>From scalo 1998</p>
+<p>Probability distribution function for Scalo 1998 IMF (defined up until 80Msol): three_part_powerlaw(m, 0.1, 1.0, 10.0, 80.0, -1.2, -2.7, -2.3)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass to evaluate the distribution at</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ of distribution function evaluated at m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.imf_tinsley1980">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">imf_tinsley1980</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#imf_tinsley1980"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.imf_tinsley1980" title="Permalink to this definition">¶</a></dt>
+<dd><p>Probability distribution function for tinsley 1980 IMF (defined up until 80Msol): three_part_powerlaw(m, 0.1, 2.0, 10.0, 80.0, -2.0, -2.3, -3.3)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass to evaluate the distribution at</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ of distribution function evaluated at m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.interpolate_in_mass_izzard2012">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">interpolate_in_mass_izzard2012</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">M</span></em>, <em class="sig-param"><span class="n">high</span></em>, <em class="sig-param"><span class="n">low</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#interpolate_in_mass_izzard2012"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.interpolate_in_mass_izzard2012" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to interpolate in mass</p>
+<p>TODO: fix this function.
+TODO: describe the args
+high: at M=16.3
+low: at 1.15</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>M</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass</p></li>
+<li><p><strong>high</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – </p></li>
+<li><p><strong>low</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – </p></li>
+</ul>
+</dd>
+</dl>
+<p>Returns:</p>
+<dl class="field-list simple">
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.ktg93">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">ktg93</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em>, <em class="sig-param"><span class="n">newopts</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#ktg93"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.ktg93" title="Permalink to this definition">¶</a></dt>
+<dd><p>Probability distribution function for KTG93 IMF, where the default values to the three_part_powerlaw are: default = {“m0â€: 0.1, “m1â€: 0.5, “m2â€: 1, “mmaxâ€: 80, “p1â€: -1.3, “p2â€: -2.2,â€p3â€: -2.7}</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass to evaluate the distribution at</p></li>
+<li><p><strong>newopts</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>]) – optional dict to override the default values.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ of distribution function evaluated at m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.linear_extrapolation_q">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">linear_extrapolation_q</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">qs</span></em>, <em class="sig-param"><span class="n">indices</span></em>, <em class="sig-param"><span class="n">qlimit</span></em>, <em class="sig-param"><span class="n">qdata</span></em>, <em class="sig-param"><span class="n">end_index</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#linear_extrapolation_q"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.linear_extrapolation_q" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to do the linear extrapolation for q.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.merge_multiplicities">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">merge_multiplicities</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">result_array</span></em>, <em class="sig-param"><span class="n">max_multiplicity</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#merge_multiplicities"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.merge_multiplicities" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to fold the multiplicities higher than the max_multiplicity onto the max_multiplicity</p>
+<dl class="simple">
+<dt>if max_multiplicity == 1:</dt><dd><p>All the multiplicities are folded onto multiplicity == 1. This will always total to 1</p>
+</dd>
+<dt>if max_multiplicity == 2:</dt><dd><p>The multiplicity fractions of the triple and quadruples are folded onto that of the binary multiplicity fraction</p>
+</dd>
+<dt>if max_multiplicity == 3:</dt><dd><p>The multiplicity fractions of the quadruples are folded onto that of the triples</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.normalize_dict">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">normalize_dict</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">result_dict</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#normalize_dict"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.normalize_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to normalize a dictionary</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.number">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">number</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#number"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.number" title="Permalink to this definition">¶</a></dt>
+<dd><p>Dummy distribution function that returns the input</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>value</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – the value that will be returned by this function.</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the value that was provided</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.poisson">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">poisson</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">lambda_val</span></em>, <em class="sig-param"><span class="n">n</span></em>, <em class="sig-param"><span class="n">nmax</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#poisson"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.poisson" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that calculates the poisson value and normalizes
+TODO: improve the description</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.powerlaw">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">powerlaw</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">min_val</span></em>, <em class="sig-param"><span class="n">max_val</span></em>, <em class="sig-param"><span class="n">k</span></em>, <em class="sig-param"><span class="n">x</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#powerlaw"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.powerlaw" title="Permalink to this definition">¶</a></dt>
+<dd><p>Single powerlaw with index k at x from min to max</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>min_val</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – lower bound of the powerlaw</p></li>
+<li><p><strong>max_val</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – upper bound of the powerlaw</p></li>
+<li><p><strong>k</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – slope of the power law</p></li>
+<li><p><strong>x</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – position at which we want to evaluate</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p><cite>probability</cite> at the given position(x)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.powerlaw_constant">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">powerlaw_constant</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">min_val</span></em>, <em class="sig-param"><span class="n">max_val</span></em>, <em class="sig-param"><span class="n">k</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#powerlaw_constant"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.powerlaw_constant" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that returns the constant to normalise a powerlaw</p>
+<p>TODO: what if k is -1?</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>min_val</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – lower bound of the range</p></li>
+<li><p><strong>max_val</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – upper bound of the range</p></li>
+<li><p><strong>k</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – powerlaw slope</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>constant to normalize the given powerlaw between the min_val and max_val range</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.powerlaw_extrapolation_q">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">powerlaw_extrapolation_q</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">qdata</span></em>, <em class="sig-param"><span class="n">qs</span></em>, <em class="sig-param"><span class="n">indices</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#powerlaw_extrapolation_q"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.powerlaw_extrapolation_q" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to do the powerlaw extrapolation at the lower end of the q range</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.prepare_dict">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">prepare_dict</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">global_dict</span></em>, <em class="sig-param"><span class="n">list_of_sub_keys</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#prepare_dict"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.prepare_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that makes sure that the global dict is prepared to have a value set there.
+This dictionary will store values and factors for the distribution functions,
+so that they dont have to be calculated each time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>global_dict</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – globablly acessible dictionary where factors are stored in</p></li>
+<li><p><strong>list_of_sub_keys</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">list</span></code>) – List of keys that must become be(come) present in the global_dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.raghavan2010_binary_fraction">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">raghavan2010_binary_fraction</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#raghavan2010_binary_fraction"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.raghavan2010_binary_fraction" title="Permalink to this definition">¶</a></dt>
+<dd><p>Fit to the Raghavan 2010 binary fraction as a function of
+spectral type (Fig 12). Valid for local stars (Z=Zsolar).</p>
+<p>The spectral type is converted mass by use of the ZAMS
+effective temperatures from binary_c/BSE (at Z=0.02)
+and the new “long_spectral_type†function of binary_c
+(based on Jaschek+Jaschek’s Teff-spectral type table).</p>
+<p>Rob then fitted the result</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass to evaluate the distribution at</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>binary fraction at m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.sana12">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">sana12</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">M1</span></em>, <em class="sig-param"><span class="n">M2</span></em>, <em class="sig-param"><span class="n">a</span></em>, <em class="sig-param"><span class="n">P</span></em>, <em class="sig-param"><span class="n">amin</span></em>, <em class="sig-param"><span class="n">amax</span></em>, <em class="sig-param"><span class="n">x0</span></em>, <em class="sig-param"><span class="n">x1</span></em>, <em class="sig-param"><span class="n">p</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#sana12"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.sana12" title="Permalink to this definition">¶</a></dt>
+<dd><p>distribution of initial orbital periods as found by Sana et al. (2012)
+which is a flat distribution in ln(a) and ln(P) respectively for stars
+* less massive than 15Msun (no O-stars)
+* mass ratio q=M2/M1<0.1
+* log(P)<0.15=x0 and log(P)>3.5=x1
+and is be given by dp/dlogP ~ (logP)^p for all other binary configurations (default p=-0.55)</p>
+<p>arguments are M1, M2, a, Period P, amin, amax, x0=log P0, x1=log P1, p</p>
+<p>example args: 10, 5, sep(M1, M2, P), sep, ?, -2, 12, -0.55</p>
+<p># TODO: Fix this function!</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>M1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Mass of primary</p></li>
+<li><p><strong>M2</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Mass of secondary</p></li>
+<li><p><strong>a</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – separation of binary</p></li>
+<li><p><strong>P</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – period of binary</p></li>
+<li><p><strong>amin</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – minimum separation of the distribution (lower bound of the range)</p></li>
+<li><p><strong>amax</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – maximum separation of the distribution (upper bound of the range)</p></li>
+<li><p><strong>x0</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – log of minimum period of the distribution (lower bound of the range)</p></li>
+<li><p><strong>x1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – log of maximum period of the distribution (upper bound of the range)</p></li>
+<li><p><strong>p</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – slope of the distributoon</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ of orbital period P given the other parameters</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.set_opts">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">set_opts</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">opts</span></em>, <em class="sig-param"><span class="n">newopts</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#set_opts"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.set_opts" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to take a default dict and override it with newer values.</p>
+<p># TODO: consider changing this to just a dict.update</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>opts</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – dictionary with default values</p></li>
+<li><p><strong>newopts</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – dictionary with new values</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns an updated dictionary</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.distribution_functions.three_part_powerlaw">
+<code class="sig-prename descclassname">binarycpython.utils.distribution_functions.</code><code class="sig-name descname">three_part_powerlaw</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em>, <em class="sig-param"><span class="n">m0</span></em>, <em class="sig-param"><span class="n">m1</span></em>, <em class="sig-param"><span class="n">m2</span></em>, <em class="sig-param"><span class="n">m_max</span></em>, <em class="sig-param"><span class="n">p1</span></em>, <em class="sig-param"><span class="n">p2</span></em>, <em class="sig-param"><span class="n">p3</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/distribution_functions.html#three_part_powerlaw"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.distribution_functions.three_part_powerlaw" title="Permalink to this definition">¶</a></dt>
+<dd><p>Generalized three-part power law, usually used for mass distributions</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass at which we want to evaluate the distribution.</p></li>
+<li><p><strong>m0</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – lower bound mass</p></li>
+<li><p><strong>m1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – second boundary, between the first slope and the second slope</p></li>
+<li><p><strong>m2</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – third boundary, between the second slope and the third slope</p></li>
+<li><p><strong>m_max</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – upper bound mass</p></li>
+<li><p><strong>p1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – first slope</p></li>
+<li><p><strong>p2</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – second slope</p></li>
+<li><p><strong>p3</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – third slope</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>‘probability’ at given mass m</p>
+</dd>
+</dl>
+</dd></dl>
+
+</div>
+
+
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+<h1>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h1>
+<p>This chapter contains the source code of example scripts which show the way of using certain functions</p>
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+ <div class="section" id="module-binarycpython.utils.functions">
+<span id="functions-module"></span><h1>functions module<a class="headerlink" href="#module-binarycpython.utils.functions" title="Permalink to this headline">¶</a></h1>
+<p>Module containing most of the utility functions for the binarycpython package</p>
+<p>Functions here are mostly functions used in other classes/functions, or
+useful functions for the user</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: change all prints to verbose_prints</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py class">
+<dt id="binarycpython.utils.functions.BinaryCEncoder">
+<em class="property">class </em><code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">BinaryCEncoder</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">skipkeys</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">ensure_ascii</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">check_circular</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">allow_nan</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">sort_keys</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">indent</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">separators</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">default</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#BinaryCEncoder"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.BinaryCEncoder" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">json.encoder.JSONEncoder</span></code></p>
+<p>Encoding class function to attempt to convert things to strings.</p>
+<dl class="py method">
+<dt id="binarycpython.utils.functions.BinaryCEncoder.default">
+<code class="sig-name descname">default</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">o</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#BinaryCEncoder.default"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.BinaryCEncoder.default" title="Permalink to this definition">¶</a></dt>
+<dd><p>Converting function. Well, could be more precise. look at the json module</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt id="binarycpython.utils.functions.Capturing">
+<em class="property">class </em><code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">Capturing</code><a class="reference internal" href="_modules/binarycpython/utils/functions.html#Capturing"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.Capturing" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">list</span></code></p>
+<p>Context manager to capture output and store it</p>
+<dl class="py method">
+<dt id="binarycpython.utils.functions.Capturing.__enter__">
+<code class="sig-name descname">__enter__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#Capturing.__enter__"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.Capturing.__enter__" title="Permalink to this definition">¶</a></dt>
+<dd><p>On entry we capture the stdout output</p>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.functions.Capturing.__exit__">
+<code class="sig-name descname">__exit__</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span><span class="n">args</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#Capturing.__exit__"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.Capturing.__exit__" title="Permalink to this definition">¶</a></dt>
+<dd><p>On exit we release the capture again</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt id="binarycpython.utils.functions.binarycDecoder">
+<em class="property">class </em><code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">binarycDecoder</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">object_hook</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">parse_float</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">parse_int</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">parse_constant</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">strict</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">object_pairs_hook</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#binarycDecoder"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.binarycDecoder" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">json.decoder.JSONDecoder</span></code></p>
+<p>Custom decoder to transform the numbers that are strings to actual floats</p>
+<dl class="py method">
+<dt id="binarycpython.utils.functions.binarycDecoder.decode">
+<code class="sig-name descname">decode</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">s</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#binarycDecoder.decode"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.binarycDecoder.decode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Entry point function for decoding</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.binaryc_json_serializer">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">binaryc_json_serializer</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">obj</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#binaryc_json_serializer"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.binaryc_json_serializer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Custom serializer for binary_c to use when functions are present in the dictionary
+that we want to export.</p>
+<p>Function objects will be turned into str representations of themselves</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>obj</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Any</span></code>) – The object that might not be serializable</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Any</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Either string representation of object if the object is a function, or the object itself</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.call_binary_c_config">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">call_binary_c_config</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">argument</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#call_binary_c_config"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.call_binary_c_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to interface with the binary_c config file</p>
+<dl class="simple">
+<dt>input:</dt><dd><ul class="simple">
+<li><p>argument: argument for the binary_c config</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p>raw output of binary_c-config</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt id="binarycpython.utils.functions.catchtime">
+<em class="property">class </em><code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">catchtime</code><a class="reference internal" href="_modules/binarycpython/utils/functions.html#catchtime"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.catchtime" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Context manager to calculate time spent</p>
+<dl class="py method">
+<dt id="binarycpython.utils.functions.catchtime.__enter__">
+<code class="sig-name descname">__enter__</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#catchtime.__enter__"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.catchtime.__enter__" title="Permalink to this definition">¶</a></dt>
+<dd><p>On entry we start the clock</p>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.functions.catchtime.__exit__">
+<code class="sig-name descname">__exit__</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">type</span></em>, <em class="sig-param"><span class="n">value</span></em>, <em class="sig-param"><span class="n">traceback</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#catchtime.__exit__"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.catchtime.__exit__" title="Permalink to this definition">¶</a></dt>
+<dd><p>On exit we stop the clock and measure the time spent</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.convert_bytes">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">convert_bytes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">size</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#convert_bytes"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.convert_bytes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to return the size + a magnitude string</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.count_keys_recursive">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">count_keys_recursive</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">input_dict</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#count_keys_recursive"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.count_keys_recursive" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to count the total amount of keys in a dictionary</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.create_arg_string">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">create_arg_string</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">arg_dict</span></em>, <em class="sig-param"><span class="n">sort</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">filter_values</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#create_arg_string"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.create_arg_string" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that creates the arg string for binary_c. Takes a dictionary containing the arguments
+and writes them to a string
+This string is missing the ‘binary_c ‘ at the start.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>arg_dict</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – dictionary</p></li>
+<li><p><strong>sort</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – (optional, default = False) Boolean whether to sort the order of the keys.</p></li>
+<li><p><strong>filter_values</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – (optional, default = False) filters the input dict on keys that have NULL or <cite>function</cite> as value.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The string built up by combining all the key + value’s.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.create_hdf5">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">create_hdf5</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_dir</span></em>, <em class="sig-param"><span class="n">name</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#create_hdf5"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.create_hdf5" title="Permalink to this definition">¶</a></dt>
+<dd><dl class="simple">
+<dt>Function to create an hdf5 file from the contents of a directory:</dt><dd><ul class="simple">
+<li><p>settings file is selected by checking on files ending on settings</p></li>
+<li><p>data files are selected by checking on files ending with .dat</p></li>
+</ul>
+</dd>
+</dl>
+<p>TODO: fix missing settingsfiles</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_dir</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – directory containing the data files and settings file</p></li>
+<li><p><strong>name</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – name of hdf5file.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.custom_sort_dict">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">custom_sort_dict</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">input_dict</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#custom_sort_dict"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.custom_sort_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns a dictionary that is ordered, but can handle numbers better than normal OrderedDict</p>
+<p>When the keys of the current dictionary are of mixed type, we first find all the unique types.
+Sort that list of type names. Then find the values that fit that type.
+Sort those and append them to the sorted keys list.
+This is done until all the keys are sorted.</p>
+<p>All objects other than dictionary types are directly return as they are</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.example_parse_output">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">example_parse_output</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">output</span></em>, <em class="sig-param"><span class="n">selected_header</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#example_parse_output"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.example_parse_output" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that parses output of binary_c. This version serves as an example and is quite
+detailed. Custom functions can be easier:</p>
+<p>This function works in two cases:
+if the caught line contains output like ‘example_header time=12.32 mass=0.94 ..’
+or if the line contains output like ‘example_header 12.32 0.94’
+Please dont the two cases.</p>
+<p>You can give a ‘selected_header’ to catch any line that starts with that.
+Then the values will be put into a dictionary.</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: Think about exporting to numpy array or pandas instead of a defaultdict</p></li>
+<li><p>TODO: rethink whether this function is necessary at all</p></li>
+<li><p>TODO: check this function again</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>output</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – binary_c output string</p></li>
+<li><p><strong>selected_header</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – string header of the output (the start of the line that you want to
+process)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary containing parameters as keys and lists for the values</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.extract_ensemble_json_from_string">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">extract_ensemble_json_from_string</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">binary_c_output</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#extract_ensemble_json_from_string"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.extract_ensemble_json_from_string" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to extract the ensemble_json information from a raw binary_c output string</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>binary_c_output</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – raw binary_c output string</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>json dictionary with the parsed ENSEMBLE_JSON data</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.filter_arg_dict">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">filter_arg_dict</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">arg_dict</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#filter_arg_dict"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.filter_arg_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to filter out keys that contain values included in [‘NULL’, ‘Function’, ‘’]</p>
+<p>This function is called by get_defaults()</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>arg_dict</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – dictionary containing the argument + default keypairs of binary_c</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>filtered dictionary (pairs with NULL and Function values are removed)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.get_arg_keys">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">get_arg_keys</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#get_arg_keys"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.get_arg_keys" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that return the list of possible keys to give in the arg string.
+This function calls get_defaults()</p>
+<dl class="field-list simple">
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">list</span></code></p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of all the parameters that binary_c accepts (and has default values for, since
+we call get_defaults())</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.get_defaults">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">get_defaults</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">filter_values</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#get_defaults"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.get_defaults" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that calls the binaryc get args function and cast it into a dictionary.</p>
+<p>All the values are strings</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>filter_values</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to filter out NULL and Function defaults.</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary containing the parameter name as key and the parameter default as value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.get_help">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">get_help</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">param_name</span><span class="o">=</span><span class="default_value">''</span></em>, <em class="sig-param"><span class="n">print_help</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">fail_silently</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#get_help"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.get_help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that returns the help info for a given parameter, by interfacing with binary_c</p>
+<p>Will check whether it is a valid parameter.</p>
+<p>Binary_c will output things in the following order;
+- Did you mean?
+- binary_c help for variable
+- default
+- available macros</p>
+<p>This function reads out that structure and catches the different components of this output</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: consider not returning None, but return empty dict</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>param_name</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – name of the parameter that you want info from. Will get checked whether its a
+valid parameter name</p></li>
+<li><p><strong>print_help</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – (optional, default = True) whether to print out the help information</p></li>
+<li><p><strong>fail_silently</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – (optional, default = False) Whether to print the errors raised if the</p></li>
+<li><p><strong>isn't valid</strong> (<em>parameter</em>) – </p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Dictionary containing the help info. This dictionary contains ‘parameter_name’,
+‘parameter_value_input_type’, ‘description’, optionally ‘macros’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.get_help_all">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">get_help_all</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">print_help</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#get_help_all"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.get_help_all" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that reads out the output of the return_help_all api call to binary_c. This return_help_all binary_c returns all the information for the parameters, their descriptions and other properties. The output is categorized in sections.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>print_help</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – (optional, default = Tru) prints all the parameters and their descriptions.</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns a dictionary containing dictionaries per section. These dictionaries contain the parameters and descriptions etc for all the parameters in that section</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.get_help_super">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">get_help_super</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">print_help</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">fail_silently</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#get_help_super"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.get_help_super" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that first runs get_help_all, and then per argument also run
+the help function to get as much information as possible.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>print_help</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – (optional, default = False) Whether to print the information</p></li>
+<li><p><strong>fail_silently</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – (optional, default = True) Whether to fail silently or to print the errors</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary containing all dictionaries per section, which then contain as much info as possible per parameter.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.get_moe_distefano_dataset">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">get_moe_distefano_dataset</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">options</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#get_moe_distefano_dataset"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.get_moe_distefano_dataset" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to get the default moe and Distefano dataset or accept a userinput.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.get_size">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">get_size</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">obj</span></em>, <em class="sig-param"><span class="n">seen</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#get_size"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.get_size" title="Permalink to this definition">¶</a></dt>
+<dd><p>Recursively finds size of objects</p>
+<p>From <a class="reference external" href="https://github.com/bosswissam/pysize">https://github.com/bosswissam/pysize</a></p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.handle_ensemble_string_to_json">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">handle_ensemble_string_to_json</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">raw_output</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#handle_ensemble_string_to_json"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.handle_ensemble_string_to_json" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that deals with the raw output of the ensemble and
+creates a working JSON dictionary out of it.</p>
+<p>Having this wrapper makes it easy to</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raw_output</strong> – raw output of the ensemble dump by binary_c</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>json.loads(raw_output, cls=binarycDecoder)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.imports">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">imports</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#imports"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.imports" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.inspect_dict">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">inspect_dict</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">input_dict</span></em>, <em class="sig-param"><span class="n">indent</span><span class="o">=</span><span class="default_value">0</span></em>, <em class="sig-param"><span class="n">print_structure</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#inspect_dict"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.inspect_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to (recursively) inspect a (nested) dictionary.
+The object that is returned is a dictionary containing the key of the input_dict, but as value
+it will return the type of what the value would be in the input_dict</p>
+<p>In this way we inspect the structure of these dictionaries, rather than the exact contents.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_dict</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – dictionary you want to inspect</p></li>
+<li><p><strong>print_structure</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – (optional, default = True)</p></li>
+<li><p><strong>indent</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – (optional, default = 0) indent of the first output</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p><dl class="simple">
+<dt>Dictionary that has the same structure as the input_dict, but as values it has the</dt><dd><p>type(input_dict[key]) (except if the value is a dict)</p>
+</dd>
+</dl>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.is_capsule">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">is_capsule</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">o</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#is_capsule"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.is_capsule" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to tell whether object is a capsule</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.load_logfile">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">load_logfile</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">logfile</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#load_logfile"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.load_logfile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Experimental function that parses the generated logfile of binary_c.</p>
+<p>This function is not finished and shouldn’t be used yet.</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO:</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>logfile</strong> (<em>-</em>) – filename of the logfile you want to parse</p>
+</dd>
+</dl>
+<p>Returns:</p>
+<dl class="field-list simple">
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.make_build_text">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">make_build_text</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#make_build_text"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.make_build_text" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to make build text</p>
+<dl class="field-list simple">
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>string containing information about the build and the git branch</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.merge_dicts">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">merge_dicts</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dict_1</span></em>, <em class="sig-param"><span class="n">dict_2</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#merge_dicts"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.merge_dicts" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to merge two dictionaries in a custom way.</p>
+<p>Behaviour:</p>
+<dl class="simple">
+<dt>When dict keys are only present in one of either:</dt><dd><ul class="simple">
+<li><p>we just add the content to the new dict</p></li>
+</ul>
+</dd>
+<dt>When dict keys are present in both, we decide based on the value types how to combine them:</dt><dd><ul class="simple">
+<li><p>dictionaries will be merged by calling recursively calling this function again</p></li>
+<li><p>numbers will be added</p></li>
+<li><p>(opt) lists will be appended</p></li>
+<li><p>In the case that the instances do not match: for now I will raise an error</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dict_1</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – first dictionary</p></li>
+<li><p><strong>dict_2</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – second dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Merged dictionary</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.multiply_values_dict">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">multiply_values_dict</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">input_dict</span></em>, <em class="sig-param"><span class="n">factor</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#multiply_values_dict"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.multiply_values_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that goes over dictionary recursively and multiplies the value if possible by a factor</p>
+<p>If the key equals “general_infoâ€, the multiplication gets skipped</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.output_lines">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">output_lines</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">output</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#output_lines"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.output_lines" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that outputs the lines that were recieved from the binary_c run, but now as an iterator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>output</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – raw binary_c output</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">list</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Iterator over the lines of the binary_c output</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.parse_binary_c_version_info">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">parse_binary_c_version_info</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">version_info_string</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#parse_binary_c_version_info"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.parse_binary_c_version_info" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that parses the binary_c version info. Long function with a lot of branches</p>
+<p>TODO: fix this function. stuff is missing: isotopes, macros, nucleosynthesis_sources</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>version_info_string</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – raw output of version_info call to binary_c</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>‘isotopes’ for isotope info, ‘argpairs’ for argument pair info (TODO: explain), ‘ensembles’ for ensemble settings/info, ‘macros’ for macros, ‘elements’ for atomic element info, ‘DTlimit’ for (TODO: explain), ‘nucleosynthesis_sources’ for nucleosynthesis sources, and ‘miscellaneous’ for all those that were not caught by the previous groups. ‘git_branch’, ‘git_build’, ‘revision’ and ‘email’ are also keys, but its clear what those contain.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Parsed version of the version info, which is a dictionary containing the keys</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.recursive_change_key_to_float">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">recursive_change_key_to_float</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">input_dict</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#recursive_change_key_to_float"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.recursive_change_key_to_float" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to recursively change the key to float</p>
+<p>This only works if the dict contains just sub-dicts or numbers/strings.
+Does not work with lists as values</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.recursive_change_key_to_string">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">recursive_change_key_to_string</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">input_dict</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#recursive_change_key_to_string"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.recursive_change_key_to_string" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to recursively change the key back to a string but this time in a format that we decide</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.remove_file">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">remove_file</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">file</span></em>, <em class="sig-param"><span class="n">verbosity</span><span class="o">=</span><span class="default_value">0</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#remove_file"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.remove_file" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to remove files but with verbosity</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – full filepath to the file that will be removed.</p></li>
+<li><p><strong>verbosity</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – current verbosity level (Optional)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the path of a subdirectory called binary_c_python in the TMP of the filesystem</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.return_binary_c_version_info">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">return_binary_c_version_info</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">parsed</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#return_binary_c_version_info"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.return_binary_c_version_info" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that returns the version information of binary_c. This function calls the function
+_binary_c_bindings.return_version_info()</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>parsed</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – Boolean flag whether to parse the version_info output of binary_c. default = False</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Either the raw string of binary_c or a parsed version of this in the form of a nested
+dictionary</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.subtract_dicts">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">subtract_dicts</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dict_1</span></em>, <em class="sig-param"><span class="n">dict_2</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#subtract_dicts"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.subtract_dicts" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to subtract two dictionaries.</p>
+<p>Only allows values to be either a dict or a numerical type</p>
+<dl class="simple">
+<dt>For the overlapping keys (key name present in both dicts):</dt><dd><dl class="simple">
+<dt>When the keys are of the same type:</dt><dd><ul class="simple">
+<li><p>If the types are of numerical type: subtract the value at dict 2 from dict 1.</p></li>
+<li><p>If the types are both dictionaries: call this function with the subdicts</p></li>
+</ul>
+</dd>
+<dt>WHen the keys are not of the same type:</dt><dd><ul class="simple">
+<li><p>if the keys are all of numerical types</p></li>
+</ul>
+</dd>
+</dl>
+</dd>
+<dt>For the unique keys:</dt><dd><ul class="simple">
+<li><p>if the key is from dict 1: adds the value to the new dict (be it numerical value or dict)</p></li>
+<li><dl class="simple">
+<dt>If the key is from dict 2: Adds the negative of its value in case of numerical type.</dt><dd><p>if the type is a dict, the result of subtract_dicts({}, dict_2[key]) will be set</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+<p>If the result is 0, the key will be removed from the resulting dict.
+If that results in an empty dict, the dict will be removed too.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dict_1</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – first dictionary</p></li>
+<li><p><strong>dict_2</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – second dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Subtracted dictionary</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.temp_dir">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">temp_dir</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">*</span><span class="n">args</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#temp_dir"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.temp_dir" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to create directory within the TMP directory of the filesystem</p>
+<p>Makes use of os.makedirs exist_ok which requires python 3.2+</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>arguments</strong> (<em>function</em>) – str input where each next input will be a child of the previous full_path. e.g. temp_dir(‘tests’, ‘grid’) will become ‘/tmp/binary_c_python/tests/grid’</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the path of a subdirectory called binary_c_python in the TMP of the filesystem</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.update_dicts">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">update_dicts</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dict_1</span></em>, <em class="sig-param"><span class="n">dict_2</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#update_dicts"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.update_dicts" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to update dict_1 with values of dict_2 in a recursive way.</p>
+<p>Behaviour:</p>
+<dl class="simple">
+<dt>When dict keys are only present in one of either:</dt><dd><ul class="simple">
+<li><p>we just add the content to the new dict</p></li>
+</ul>
+</dd>
+<dt>When dict keys are present in both, we decide based on the value types how to combine them:</dt><dd><ul class="simple">
+<li><p>value of dict2 will be taken</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dict_1</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – first dictionary</p></li>
+<li><p><strong>dict_2</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code>) – second dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>New dictionary with Updated values</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.verbose_print">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">verbose_print</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">message</span></em>, <em class="sig-param"><span class="n">verbosity</span></em>, <em class="sig-param"><span class="n">minimal_verbosity</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#verbose_print"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.verbose_print" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that decides whether to print a message based on the current verbosity
+and its minimum verbosity</p>
+<p>if verbosity is equal or higher than the minimum, then we print</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>message</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – message to print</p></li>
+<li><p><strong>verbosity</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – current verbosity level</p></li>
+<li><p><strong>minimal_verbosity</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – threshold verbosity above which to print</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.functions.write_binary_c_parameter_descriptions_to_rst_file">
+<code class="sig-prename descclassname">binarycpython.utils.functions.</code><code class="sig-name descname">write_binary_c_parameter_descriptions_to_rst_file</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">output_file</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/functions.html#write_binary_c_parameter_descriptions_to_rst_file"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.functions.write_binary_c_parameter_descriptions_to_rst_file" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that calls the get_help_super() to get the help text/descriptions for all the
+parameters available in that build.
+Writes the results to a .rst file that can be included in the docs.</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><dl class="simple">
+<dt>TODO: add the specific version git branch, git build, git commit, and binary_c version to</dt><dd><p>this document</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>output_file</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – name of the output .rst faile containing the ReStructuredText formatted output
+of all the binary_c parameters.</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+</div>
+
+
+ </div>
+
+ </div>
+ <footer>
+
+ <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
+
+ <a href="grid.html" class="btn btn-neutral float-right" title="grid_class module" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
+
+
+ <a href="distribution_functions.html" class="btn btn-neutral float-left" title="distribution_functions module" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>
+
+ </div>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
+
+
+
+</footer>
+
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+ </div>
+
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+ </div>
+
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+ <script type="text/javascript">
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+</body>
+</html>
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+
+
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" >
+<head>
+ <meta charset="utf-8">
+
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
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+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="readme_link.html">Python module for binary_c</a></li>
+<li class="toctree-l1"><a class="reference internal" href="modules.html">Binarycpython code</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="examples.html">Examples</a><ul class="current">
+<li class="toctree-l2 current"><a class="current reference internal" href="#">Examples</a></li>
+<li class="toctree-l2"><a class="reference internal" href="population_example.html">Example of population script</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="binary_c_parameters.html">Binary_c parameters</a></li>
+<li class="toctree-l1"><a class="reference internal" href="grid_options_descriptions.html">Population grid code options</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python">Visit the GitLab repo</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/issues/new">Submit an issue</a></li>
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+ <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+ <div itemprop="articleBody">
+
+ <div class="section" id="examples">
+<h1>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h1>
+<p>The source code of the general examples.</p>
+<div class="highlight-python notranslate"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre> 1
+ 2
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+229</pre></div></td><td class="code"><div class="highlight"><pre><span></span><span class="ch">#!/usr/bin/python3</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython</span> <span class="kn">import</span> <span class="n">_binary_c_bindings</span>
+
+<span class="kn">from</span> <span class="nn">binarycpython.utils.functions</span> <span class="kn">import</span> <span class="n">example_parse_output</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.custom_logging_functions</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">autogen_C_logging_code</span><span class="p">,</span>
+ <span class="n">binary_c_log_code</span><span class="p">,</span>
+ <span class="n">create_and_load_logging_function</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.run_system_wrapper</span> <span class="kn">import</span> <span class="n">run_system</span>
+
+<span class="sd">"""</span>
+<span class="sd">Very basic scripts to run a binary system and print the output.</span>
+
+<span class="sd">Use these as inspiration/base.</span>
+<span class="sd">"""</span>
+
+
+<span class="k">def</span> <span class="nf">run_example_binary</span><span class="p">():</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function to run a binary system. Very basic approach which directly adresses the run_system(..) python-c wrapper function.</span>
+<span class="sd"> """</span>
+
+ <span class="n">m1</span> <span class="o">=</span> <span class="mf">15.0</span> <span class="c1"># Msun</span>
+ <span class="n">m2</span> <span class="o">=</span> <span class="mf">14.0</span> <span class="c1"># Msun</span>
+ <span class="n">separation</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># 0 = ignored, use period</span>
+ <span class="n">orbital_period</span> <span class="o">=</span> <span class="mf">4530.0</span> <span class="c1"># days</span>
+ <span class="n">eccentricity</span> <span class="o">=</span> <span class="mf">0.0</span>
+ <span class="n">metallicity</span> <span class="o">=</span> <span class="mf">0.02</span>
+ <span class="n">max_evolution_time</span> <span class="o">=</span> <span class="mi">15000</span> <span class="c1"># Myr. You need to include this argument.</span>
+
+ <span class="c1">#</span>
+ <span class="n">argstring</span> <span class="o">=</span> <span class="s2">"binary_c M_1 </span><span class="si">{m1}</span><span class="s2"> M_2 </span><span class="si">{m2}</span><span class="s2"> separation </span><span class="si">{separation}</span><span class="s2"> orbital_period </span><span class="si">{orbital_period}</span><span class="s2"> </span><span class="se">\</span>
+<span class="s2"> eccentricity </span><span class="si">{eccentricity}</span><span class="s2"> metallicity </span><span class="si">{metallicity}</span><span class="s2"> </span><span class="se">\</span>
+<span class="s2"> max_evolution_time </span><span class="si">{max_evolution_time}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">m1</span><span class="o">=</span><span class="n">m1</span><span class="p">,</span>
+ <span class="n">m2</span><span class="o">=</span><span class="n">m2</span><span class="p">,</span>
+ <span class="n">separation</span><span class="o">=</span><span class="n">separation</span><span class="p">,</span>
+ <span class="n">orbital_period</span><span class="o">=</span><span class="n">orbital_period</span><span class="p">,</span>
+ <span class="n">eccentricity</span><span class="o">=</span><span class="n">eccentricity</span><span class="p">,</span>
+ <span class="n">metallicity</span><span class="o">=</span><span class="n">metallicity</span><span class="p">,</span>
+ <span class="n">max_evolution_time</span><span class="o">=</span><span class="n">max_evolution_time</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">output</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">run_system</span><span class="p">(</span><span class="n">argstring</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
+
+
+<span class="n">run_example_binary</span><span class="p">()</span>
+
+
+<span class="k">def</span> <span class="nf">run_example_binary_with_run_system</span><span class="p">():</span>
+ <span class="sd">"""</span>
+<span class="sd"> This function serves as an example on the function run_system and parse_output.</span>
+<span class="sd"> There is more functionality with this method and several tasks are done behind the scene.</span>
+
+<span class="sd"> Requires pandas, numpy to run.</span>
+
+<span class="sd"> run_system: mostly just makes passing arguments to the function easier. It also loads all the necessary defaults in the background</span>
+<span class="sd"> parse_output: Takes the raw output of binary_c and selects those lines that start with the given header.</span>
+<span class="sd"> Note, if you dont use the custom_logging functionality binary_c should be configured to have output that starts with that given header</span>
+
+<span class="sd"> The parsing of the output only works correctly if either all of the values are described inline like `mass=<number>' or none of them are.</span>
+<span class="sd"> """</span>
+
+ <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+ <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+ <span class="c1"># Run system. all arguments can be given as optional arguments.</span>
+ <span class="n">output</span> <span class="o">=</span> <span class="n">run_system</span><span class="p">(</span><span class="n">M_1</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">M_2</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> <span class="n">separation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">orbital_period</span><span class="o">=</span><span class="mi">100000000000</span><span class="p">)</span>
+
+ <span class="c1"># print(output)</span>
+
+ <span class="c1"># Catch results that start with a given header. (Mind that binary_c has to be configured to print them if your not using a custom logging function)</span>
+ <span class="n">result_example_header_1</span> <span class="o">=</span> <span class="n">example_parse_output</span><span class="p">(</span>
+ <span class="n">output</span><span class="p">,</span> <span class="n">selected_header</span><span class="o">=</span><span class="s2">"example_header_1"</span>
+ <span class="p">)</span>
+ <span class="n">result_example_header_2</span> <span class="o">=</span> <span class="n">example_parse_output</span><span class="p">(</span>
+ <span class="n">output</span><span class="p">,</span> <span class="n">selected_header</span><span class="o">=</span><span class="s2">"example_header_2"</span>
+ <span class="p">)</span>
+
+ <span class="c1"># print(result_example_header_1)</span>
+
+ <span class="c1">#### Now do whatever you want with it:</span>
+ <span class="c1"># Put it in numpy arrays</span>
+ <span class="c1"># t_res = np.asarray(result_example_header['t'], dtype=np.float64, order='C')</span>
+ <span class="c1"># m_res = np.asarray(result_example_header['mass'], dtype=np.float64, order='C')</span>
+
+ <span class="c1"># Or put them into a pandas array</span>
+
+ <span class="c1"># Cast the data into a dataframe.</span>
+ <span class="c1"># This example automatically catches the column names because the binary_c output line is constructed as 'example_header_1 time=<number>..'</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">result_example_header_1</span><span class="p">)</span>
+ <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="n">result_example_header_1</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
+
+ <span class="c1"># This example has column headers which are numbered, but we can override that with custom headers.</span>
+ <span class="n">df2</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="n">result_example_header_2</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">)</span>
+ <span class="n">df2</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"time"</span><span class="p">,</span> <span class="s2">"mass_1"</span><span class="p">,</span> <span class="s2">"mass_2"</span><span class="p">,</span> <span class="s2">"st1"</span><span class="p">,</span> <span class="s2">"st2"</span><span class="p">,</span> <span class="s2">"sep"</span><span class="p">,</span> <span class="s2">"ecc"</span><span class="p">]</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">df2</span><span class="p">)</span>
+
+ <span class="c1"># print(df)</span>
+ <span class="c1"># sliced_df = df[df.t < 1000] # Cut off late parts of evolution</span>
+ <span class="c1"># print(sliced_df[["t","m1"]])</span>
+
+ <span class="c1"># Some routine to plot.</span>
+
+
+<span class="c1"># run_example_binary_with_run_system()</span>
+
+
+<span class="k">def</span> <span class="nf">run_example_custom_logging_autogenerated</span><span class="p">():</span>
+ <span class="sd">"""</span>
+<span class="sd"> This is an example function for the autogeneration of logging codes that binary_c uses.</span>
+<span class="sd"> """</span>
+
+ <span class="c1"># generate logging lines</span>
+ <span class="n">logging_line</span> <span class="o">=</span> <span class="n">autogen_C_logging_code</span><span class="p">(</span>
+ <span class="p">{</span>
+ <span class="s2">"MY_STELLAR_DATA"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"model.time"</span><span class="p">,</span> <span class="s2">"star[0].mass"</span><span class="p">],</span>
+ <span class="s2">"my_sss2"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"model.time"</span><span class="p">,</span> <span class="s2">"star[1].mass"</span><span class="p">],</span>
+ <span class="p">}</span>
+ <span class="p">)</span>
+
+ <span class="c1"># Generate code around logging lines</span>
+ <span class="n">custom_logging_code</span> <span class="o">=</span> <span class="n">binary_c_log_code</span><span class="p">(</span><span class="n">logging_line</span><span class="p">)</span>
+
+ <span class="c1"># Generate library and get memaddr</span>
+ <span class="n">func_memaddr</span><span class="p">,</span> <span class="n">shared_lib_filename</span> <span class="o">=</span> <span class="n">create_and_load_logging_function</span><span class="p">(</span>
+ <span class="n">custom_logging_code</span>
+ <span class="p">)</span>
+
+ <span class="c1">#</span>
+ <span class="n">m1</span> <span class="o">=</span> <span class="mf">15.0</span> <span class="c1"># Msun</span>
+ <span class="n">m2</span> <span class="o">=</span> <span class="mf">14.0</span> <span class="c1"># Msun</span>
+ <span class="n">separation</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># 0 = ignored, use period</span>
+ <span class="n">orbital_period</span> <span class="o">=</span> <span class="mf">4530.0</span> <span class="c1"># days</span>
+ <span class="n">eccentricity</span> <span class="o">=</span> <span class="mf">0.0</span>
+ <span class="n">metallicity</span> <span class="o">=</span> <span class="mf">0.02</span>
+ <span class="n">max_evolution_time</span> <span class="o">=</span> <span class="mi">15000</span>
+ <span class="n">argstring</span> <span class="o">=</span> <span class="s2">"binary_c M_1 </span><span class="si">{0:g}</span><span class="s2"> M_2 </span><span class="si">{1:g}</span><span class="s2"> separation </span><span class="si">{2:g}</span><span class="s2"> orbital_period </span><span class="si">{3:g}</span><span class="s2"> eccentricity </span><span class="si">{4:g}</span><span class="s2"> metallicity </span><span class="si">{5:g}</span><span class="s2"> max_evolution_time </span><span class="si">{6:g}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">m1</span><span class="p">,</span>
+ <span class="n">m2</span><span class="p">,</span>
+ <span class="n">separation</span><span class="p">,</span>
+ <span class="n">orbital_period</span><span class="p">,</span>
+ <span class="n">eccentricity</span><span class="p">,</span>
+ <span class="n">metallicity</span><span class="p">,</span>
+ <span class="n">max_evolution_time</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">output</span> <span class="o">=</span> <span class="n">_binary_c_bindings</span><span class="o">.</span><span class="n">run_system</span><span class="p">(</span>
+ <span class="n">argstring</span><span class="p">,</span> <span class="n">custom_logging_func_memaddr</span><span class="o">=</span><span class="n">func_memaddr</span>
+ <span class="p">)</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
+
+
+<span class="c1"># run_example_custom_logging_autogenerated()</span>
+
+
+<span class="k">def</span> <span class="nf">run_example_binary_with_custom_logging</span><span class="p">():</span>
+ <span class="sd">"""</span>
+<span class="sd"> Function that will use a automatically generated piece of logging code. Compile it, load it</span>
+<span class="sd"> into memory and run a binary system. See run_system on how several things are done in the background here.</span>
+<span class="sd"> """</span>
+
+ <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+ <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+ <span class="c1"># generate logging lines. Here you can choose whatever you want to have logged, and with what header</span>
+ <span class="c1"># this generates working print statements</span>
+ <span class="n">logging_line</span> <span class="o">=</span> <span class="n">autogen_C_logging_code</span><span class="p">(</span>
+ <span class="p">{</span>
+ <span class="s2">"MY_STELLAR_DATA"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"model.time"</span><span class="p">,</span> <span class="s2">"star[0].mass"</span><span class="p">],</span>
+ <span class="p">}</span>
+ <span class="p">)</span>
+ <span class="c1"># OR</span>
+ <span class="c1"># You can also decide to `write` your own logging_line, which allows you to write a more complex logging statement with conditionals.</span>
+ <span class="n">logging_line</span> <span class="o">=</span> <span class="s1">'Printf("MY_STELLAR_DATA time=</span><span class="si">%g</span><span class="s1"> mass=</span><span class="si">%g</span><span class="se">\\</span><span class="s1">n", stardata->model.time, stardata->star[0].mass)'</span>
+
+ <span class="c1"># Generate entire shared lib code around logging lines</span>
+ <span class="n">custom_logging_code</span> <span class="o">=</span> <span class="n">binary_c_log_code</span><span class="p">(</span><span class="n">logging_line</span><span class="p">)</span>
+
+ <span class="c1"># Run system. all arguments can be given as optional arguments. the custom_logging_code is one of them and will be processed automatically.</span>
+ <span class="n">output</span> <span class="o">=</span> <span class="n">run_system</span><span class="p">(</span>
+ <span class="n">M_1</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+ <span class="n">metallicity</span><span class="o">=</span><span class="mf">0.002</span><span class="p">,</span>
+ <span class="n">M_2</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
+ <span class="n">separation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+ <span class="n">orbital_period</span><span class="o">=</span><span class="mi">100000000000</span><span class="p">,</span>
+ <span class="n">custom_logging_code</span><span class="o">=</span><span class="n">custom_logging_code</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="nb">print</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
+
+ <span class="c1"># Catch results that start with a given header. (Mind that binary_c has to be configured to print them if your not using a custom logging function)</span>
+ <span class="c1"># DOESNT WORK YET if you have the line autogenerated.</span>
+ <span class="n">result_example_header</span> <span class="o">=</span> <span class="n">parse_output</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="s2">"MY_STELLAR_DATA"</span><span class="p">)</span>
+
+ <span class="c1"># Cast the data into a dataframe.</span>
+ <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="n">result_example_header</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">)</span>
+
+ <span class="c1"># Do whatever you like with the dataframe.</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
+
+
+<span class="c1"># run_example_binary_with_custom_logging()</span>
+
+
+<span class="k">def</span> <span class="nf">run_example_binary_with_writing_logfile</span><span class="p">():</span>
+ <span class="sd">"""</span>
+<span class="sd"> Same as above but when giving the log_filename argument the log filename will be written</span>
+<span class="sd"> """</span>
+
+ <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+ <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+ <span class="kn">import</span> <span class="nn">tempfile</span>
+
+ <span class="c1"># Run system. all arguments can be given as optional arguments.</span>
+ <span class="n">output</span> <span class="o">=</span> <span class="n">run_system</span><span class="p">(</span>
+ <span class="n">M_1</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>
+ <span class="n">M_2</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span>
+ <span class="n">separation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+ <span class="n">orbital_period</span><span class="o">=</span><span class="mi">100000000000</span><span class="p">,</span>
+ <span class="n">log_filename</span><span class="o">=</span><span class="n">tempfile</span><span class="o">.</span><span class="n">gettempdir</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/test_log.txt"</span><span class="p">,</span>
+ <span class="p">)</span>
+
+
+<span class="n">run_example_binary_with_writing_logfile</span><span class="p">()</span>
+</pre></div>
+</td></tr></table></div>
+</div>
+
+
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+
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+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" >
+<head>
+ <meta charset="utf-8">
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+<li class="toctree-l1"><a class="reference internal" href="readme_link.html">Python module for binary_c</a></li>
+<li class="toctree-l1"><a class="reference internal" href="modules.html">Binarycpython code</a></li>
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+<h1 id="index">Index</h1>
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+<div class="genindex-jumpbox">
+ <a href="#_"><strong>_</strong></a>
+ | <a href="#A"><strong>A</strong></a>
+ | <a href="#B"><strong>B</strong></a>
+ | <a href="#C"><strong>C</strong></a>
+ | <a href="#D"><strong>D</strong></a>
+ | <a href="#E"><strong>E</strong></a>
+ | <a href="#F"><strong>F</strong></a>
+ | <a href="#G"><strong>G</strong></a>
+ | <a href="#H"><strong>H</strong></a>
+ | <a href="#I"><strong>I</strong></a>
+ | <a href="#K"><strong>K</strong></a>
+ | <a href="#L"><strong>L</strong></a>
+ | <a href="#M"><strong>M</strong></a>
+ | <a href="#N"><strong>N</strong></a>
+ | <a href="#O"><strong>O</strong></a>
+ | <a href="#P"><strong>P</strong></a>
+ | <a href="#R"><strong>R</strong></a>
+ | <a href="#S"><strong>S</strong></a>
+ | <a href="#T"><strong>T</strong></a>
+ | <a href="#U"><strong>U</strong></a>
+ | <a href="#V"><strong>V</strong></a>
+ | <a href="#W"><strong>W</strong></a>
+ | <a href="#Z"><strong>Z</strong></a>
+
+</div>
+<h2 id="_">_</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.Capturing.__enter__">__enter__() (binarycpython.utils.functions.Capturing method)</a>
+
+ <ul>
+ <li><a href="functions.html#binarycpython.utils.functions.catchtime.__enter__">(binarycpython.utils.functions.catchtime method)</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.Capturing.__exit__">__exit__() (binarycpython.utils.functions.Capturing method)</a>
+
+ <ul>
+ <li><a href="functions.html#binarycpython.utils.functions.catchtime.__exit__">(binarycpython.utils.functions.catchtime method)</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="A">A</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.add_grid_variable">add_grid_variable() (binarycpython.utils.grid.Population method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.Arenou2010_binary_fraction">Arenou2010_binary_fraction() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="custom_logging_functions.html#binarycpython.utils.custom_logging_functions.autogen_C_logging_code">autogen_C_logging_code() (in module binarycpython.utils.custom_logging_functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="B">B</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="custom_logging_functions.html#binarycpython.utils.custom_logging_functions.binary_c_log_code">binary_c_log_code() (in module binarycpython.utils.custom_logging_functions)</a>
+</li>
+ <li><a href="custom_logging_functions.html#binarycpython.utils.custom_logging_functions.binary_c_write_log_code">binary_c_write_log_code() (in module binarycpython.utils.custom_logging_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.binaryc_json_serializer">binaryc_json_serializer() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.binarycDecoder">binarycDecoder (class in binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.BinaryCEncoder">BinaryCEncoder (class in binarycpython.utils.functions)</a>
+</li>
+ <li>
+ binarycpython.utils.custom_logging_functions
+
+ <ul>
+ <li><a href="custom_logging_functions.html#module-binarycpython.utils.custom_logging_functions">module</a>
+</li>
+ </ul></li>
+ <li>
+ binarycpython.utils.distribution_functions
+
+ <ul>
+ <li><a href="distribution_functions.html#module-binarycpython.utils.distribution_functions">module</a>
+</li>
+ </ul></li>
+ <li>
+ binarycpython.utils.functions
+
+ <ul>
+ <li><a href="functions.html#module-binarycpython.utils.functions">module</a>
+</li>
+ </ul></li>
+ <li>
+ binarycpython.utils.grid
+
+ <ul>
+ <li><a href="grid.html#module-binarycpython.utils.grid">module</a>
+</li>
+ </ul></li>
+ <li>
+ binarycpython.utils.grid_options_defaults
+
+ <ul>
+ <li><a href="grid_options_defaults.html#module-binarycpython.utils.grid_options_defaults">module</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li>
+ binarycpython.utils.hpc_functions
+
+ <ul>
+ <li><a href="hpc_functions.html#module-binarycpython.utils.hpc_functions">module</a>
+</li>
+ </ul></li>
+ <li>
+ binarycpython.utils.plot_functions
+
+ <ul>
+ <li><a href="plot_functions.html#module-binarycpython.utils.plot_functions">module</a>
+</li>
+ </ul></li>
+ <li>
+ binarycpython.utils.run_system_wrapper
+
+ <ul>
+ <li><a href="run_system_wrapper.html#module-binarycpython.utils.run_system_wrapper">module</a>
+</li>
+ </ul></li>
+ <li>
+ binarycpython.utils.spacing_functions
+
+ <ul>
+ <li><a href="spacing_functions.html#module-binarycpython.utils.spacing_functions">module</a>
+</li>
+ </ul></li>
+ <li>
+ binarycpython.utils.stellar_types
+
+ <ul>
+ <li><a href="stellar_types.html#module-binarycpython.utils.stellar_types">module</a>
+</li>
+ </ul></li>
+ <li>
+ binarycpython.utils.useful_funcs
+
+ <ul>
+ <li><a href="useful_funcs.html#module-binarycpython.utils.useful_funcs">module</a>
+</li>
+ </ul></li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.build_q_table">build_q_table() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="C">C</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.calc_e_integral">calc_e_integral() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.calc_P_integral">calc_P_integral() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="useful_funcs.html#binarycpython.utils.useful_funcs.calc_period_from_sep">calc_period_from_sep() (in module binarycpython.utils.useful_funcs)</a>
+</li>
+ <li><a href="useful_funcs.html#binarycpython.utils.useful_funcs.calc_sep_from_period">calc_sep_from_period() (in module binarycpython.utils.useful_funcs)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.calc_total_probdens">calc_total_probdens() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.calculate_constants_three_part_powerlaw">calculate_constants_three_part_powerlaw() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.call_binary_c_config">call_binary_c_config() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.Capturing">Capturing (class in binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.catchtime">catchtime (class in binarycpython.utils.functions)</a>
+</li>
+ <li><a href="plot_functions.html#binarycpython.utils.plot_functions.color_by_index">color_by_index() (in module binarycpython.utils.plot_functions)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="custom_logging_functions.html#binarycpython.utils.custom_logging_functions.compile_shared_lib">compile_shared_lib() (in module binarycpython.utils.custom_logging_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.const">const() (in module binarycpython.utils.distribution_functions)</a>
+
+ <ul>
+ <li><a href="spacing_functions.html#binarycpython.utils.spacing_functions.const">(in module binarycpython.utils.spacing_functions)</a>
+</li>
+ </ul></li>
+ <li><a href="functions.html#binarycpython.utils.functions.convert_bytes">convert_bytes() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.cosmic_SFH_madau_dickinson2014">cosmic_SFH_madau_dickinson2014() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.count_keys_recursive">count_keys_recursive() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="custom_logging_functions.html#binarycpython.utils.custom_logging_functions.create_and_load_logging_function">create_and_load_logging_function() (in module binarycpython.utils.custom_logging_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.create_arg_string">create_arg_string() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.create_hdf5">create_hdf5() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.custom_sort_dict">custom_sort_dict() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="D">D</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.binarycDecoder.decode">decode() (binarycpython.utils.functions.binarycDecoder method)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.BinaryCEncoder.default">default() (binarycpython.utils.functions.BinaryCEncoder method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="plot_functions.html#binarycpython.utils.plot_functions.dummy">dummy() (in module binarycpython.utils.plot_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.duquennoy1991">duquennoy1991() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="E">E</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.evolve">evolve() (binarycpython.utils.grid.Population method)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.evolve_population">evolve_population() (binarycpython.utils.grid.Population method)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.evolve_single">evolve_single() (binarycpython.utils.grid.Population method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.example_parse_output">example_parse_output() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.export_all_info">export_all_info() (binarycpython.utils.grid.Population method)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.extract_ensemble_json_from_string">extract_ensemble_json_from_string() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="F">F</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.fill_data">fill_data() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.filter_arg_dict">filter_arg_dict() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.flat">flat() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.flatsections">flatsections() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.format_ensemble_results">format_ensemble_results() (binarycpython.utils.grid.Population method)</a>
+</li>
+ <li><a href="custom_logging_functions.html#binarycpython.utils.custom_logging_functions.from_binary_c_config">from_binary_c_config() (in module binarycpython.utils.custom_logging_functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="G">G</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.gaussian">gaussian() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.gaussian_func">gaussian_func() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.gaussian_normalizing_const">gaussian_normalizing_const() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.get_arg_keys">get_arg_keys() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.get_defaults">get_defaults() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.get_help">get_help() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.get_help_all">get_help_all() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.get_help_super">get_help_super() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.get_integration_constant_q">get_integration_constant_q() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.get_max_multiplicity">get_max_multiplicity() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.get_moe_distefano_dataset">get_moe_distefano_dataset() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.get_size">get_size() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.get_stream_logger">get_stream_logger() (binarycpython.utils.grid.Population method)</a>
+</li>
+ <li><a href="grid_options_defaults.html#binarycpython.utils.grid_options_defaults.grid_options_description_checker">grid_options_description_checker() (in module binarycpython.utils.grid_options_defaults)</a>
+</li>
+ <li><a href="grid_options_defaults.html#binarycpython.utils.grid_options_defaults.grid_options_help">grid_options_help() (in module binarycpython.utils.grid_options_defaults)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="H">H</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.handle_ensemble_string_to_json">handle_ensemble_string_to_json() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="I">I</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.imf_chabrier2003">imf_chabrier2003() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.imf_scalo1986">imf_scalo1986() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.imf_scalo1998">imf_scalo1998() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.imf_tinsley1980">imf_tinsley1980() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.imports">imports() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.inspect_dict">inspect_dict() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.interpolate_in_mass_izzard2012">interpolate_in_mass_izzard2012() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.is_capsule">is_capsule() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.Izzard2012_period_distribution">Izzard2012_period_distribution() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="K">K</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.Kroupa2001">Kroupa2001() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.ktg93">ktg93() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="L">L</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.last_grid_variable">last_grid_variable() (binarycpython.utils.grid.Population method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.linear_extrapolation_q">linear_extrapolation_q() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.load_logfile">load_logfile() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="M">M</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.make_build_text">make_build_text() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="useful_funcs.html#binarycpython.utils.useful_funcs.maximum_mass_ratio_for_RLOF">maximum_mass_ratio_for_RLOF() (in module binarycpython.utils.useful_funcs)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.merge_dicts">merge_dicts() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.merge_multiplicities">merge_multiplicities() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="useful_funcs.html#binarycpython.utils.useful_funcs.minimum_period_for_RLOF">minimum_period_for_RLOF() (in module binarycpython.utils.useful_funcs)</a>
+</li>
+ <li><a href="useful_funcs.html#binarycpython.utils.useful_funcs.minimum_separation_for_RLOF">minimum_separation_for_RLOF() (in module binarycpython.utils.useful_funcs)</a>
+</li>
+ <li>
+ module
+
+ <ul>
+ <li><a href="custom_logging_functions.html#module-binarycpython.utils.custom_logging_functions">binarycpython.utils.custom_logging_functions</a>
+</li>
+ <li><a href="distribution_functions.html#module-binarycpython.utils.distribution_functions">binarycpython.utils.distribution_functions</a>
+</li>
+ <li><a href="functions.html#module-binarycpython.utils.functions">binarycpython.utils.functions</a>
+</li>
+ <li><a href="grid.html#module-binarycpython.utils.grid">binarycpython.utils.grid</a>
+</li>
+ <li><a href="grid_options_defaults.html#module-binarycpython.utils.grid_options_defaults">binarycpython.utils.grid_options_defaults</a>
+</li>
+ <li><a href="hpc_functions.html#module-binarycpython.utils.hpc_functions">binarycpython.utils.hpc_functions</a>
+</li>
+ <li><a href="plot_functions.html#module-binarycpython.utils.plot_functions">binarycpython.utils.plot_functions</a>
+</li>
+ <li><a href="run_system_wrapper.html#module-binarycpython.utils.run_system_wrapper">binarycpython.utils.run_system_wrapper</a>
+</li>
+ <li><a href="spacing_functions.html#module-binarycpython.utils.spacing_functions">binarycpython.utils.spacing_functions</a>
+</li>
+ <li><a href="stellar_types.html#module-binarycpython.utils.stellar_types">binarycpython.utils.stellar_types</a>
+</li>
+ <li><a href="useful_funcs.html#module-binarycpython.utils.useful_funcs">binarycpython.utils.useful_funcs</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.Moe_de_Stefano_2017">Moe_de_Stefano_2017() (binarycpython.utils.grid.Population method)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.Moe_de_Stefano_2017_multiplicity_fractions">Moe_de_Stefano_2017_multiplicity_fractions() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.Moe_de_Stefano_2017_pdf">Moe_de_Stefano_2017_pdf() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.multiply_values_dict">multiply_values_dict() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="N">N</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.normalize_dict">normalize_dict() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.number">number() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="O">O</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.output_lines">output_lines() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="P">P</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.parse_binary_c_version_info">parse_binary_c_version_info() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.parse_cmdline">parse_cmdline() (binarycpython.utils.grid.Population method)</a>
+</li>
+ <li><a href="plot_functions.html#binarycpython.utils.plot_functions.parse_function_hr_diagram">parse_function_hr_diagram() (in module binarycpython.utils.plot_functions)</a>
+</li>
+ <li><a href="plot_functions.html#binarycpython.utils.plot_functions.parse_function_masses">parse_function_masses() (in module binarycpython.utils.plot_functions)</a>
+</li>
+ <li><a href="plot_functions.html#binarycpython.utils.plot_functions.parse_function_orbit">parse_function_orbit() (in module binarycpython.utils.plot_functions)</a>
+</li>
+ <li><a href="plot_functions.html#binarycpython.utils.plot_functions.plot_HR_diagram">plot_HR_diagram() (in module binarycpython.utils.plot_functions)</a>
+</li>
+ <li><a href="plot_functions.html#binarycpython.utils.plot_functions.plot_masses">plot_masses() (in module binarycpython.utils.plot_functions)</a>
+</li>
+ <li><a href="plot_functions.html#binarycpython.utils.plot_functions.plot_orbit">plot_orbit() (in module binarycpython.utils.plot_functions)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="plot_functions.html#binarycpython.utils.plot_functions.plot_system">plot_system() (in module binarycpython.utils.plot_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.poisson">poisson() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population">Population (class in binarycpython.utils.grid)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.powerlaw">powerlaw() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.powerlaw_constant">powerlaw_constant() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.powerlaw_extrapolation_q">powerlaw_extrapolation_q() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.prepare_dict">prepare_dict() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="grid_options_defaults.html#binarycpython.utils.grid_options_defaults.print_option_descriptions">print_option_descriptions() (in module binarycpython.utils.grid_options_defaults)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="R">R</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="useful_funcs.html#binarycpython.utils.useful_funcs.ragb">ragb() (in module binarycpython.utils.useful_funcs)</a>
+</li>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.raghavan2010_binary_fraction">raghavan2010_binary_fraction() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.recursive_change_key_to_float">recursive_change_key_to_float() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.recursive_change_key_to_string">recursive_change_key_to_string() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.remove_file">remove_file() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.return_all_info">return_all_info() (binarycpython.utils.grid.Population method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.return_binary_c_version_info">return_binary_c_version_info() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="custom_logging_functions.html#binarycpython.utils.custom_logging_functions.return_compilation_dict">return_compilation_dict() (in module binarycpython.utils.custom_logging_functions)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.return_population_settings">return_population_settings() (binarycpython.utils.grid.Population method)</a>
+</li>
+ <li><a href="useful_funcs.html#binarycpython.utils.useful_funcs.roche_lobe">roche_lobe() (in module binarycpython.utils.useful_funcs)</a>
+</li>
+ <li><a href="run_system_wrapper.html#binarycpython.utils.run_system_wrapper.run_system">run_system() (in module binarycpython.utils.run_system_wrapper)</a>
+</li>
+ <li><a href="useful_funcs.html#binarycpython.utils.useful_funcs.rzams">rzams() (in module binarycpython.utils.useful_funcs)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="S">S</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.sana12">sana12() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.set">set() (binarycpython.utils.grid.Population method)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.set_moe_distefano_settings">set_moe_distefano_settings() (binarycpython.utils.grid.Population method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.set_opts">set_opts() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ <li><a href="functions.html#binarycpython.utils.functions.subtract_dicts">subtract_dicts() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.system_queue_filler">system_queue_filler() (binarycpython.utils.grid.Population method)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="T">T</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.temp_dir">temp_dir() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="distribution_functions.html#binarycpython.utils.distribution_functions.three_part_powerlaw">three_part_powerlaw() (in module binarycpython.utils.distribution_functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="U">U</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.update_dicts">update_dicts() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="V">V</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.verbose_print">verbose_print() (in module binarycpython.utils.functions)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="W">W</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="grid.html#binarycpython.utils.grid.Population.write_binary_c_calls_to_file">write_binary_c_calls_to_file() (binarycpython.utils.grid.Population method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="functions.html#binarycpython.utils.functions.write_binary_c_parameter_descriptions_to_rst_file">write_binary_c_parameter_descriptions_to_rst_file() (in module binarycpython.utils.functions)</a>
+</li>
+ <li><a href="grid_options_defaults.html#binarycpython.utils.grid_options_defaults.write_grid_options_to_rst_file">write_grid_options_to_rst_file() (in module binarycpython.utils.grid_options_defaults)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="Z">Z</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="useful_funcs.html#binarycpython.utils.useful_funcs.zams_collision">zams_collision() (in module binarycpython.utils.useful_funcs)</a>
+</li>
+ </ul></td>
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+<li class="toctree-l1 current"><a class="reference internal" href="modules.html">Binarycpython code</a><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="custom_logging_functions.html">custom_logging_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distribution_functions.html">distribution_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="functions.html">functions module</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">grid_class module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="grid_options_defaults.html">Grid options and descriptions</a></li>
+<li class="toctree-l2"><a class="reference internal" href="hpc_functions.html">hpc_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="plot_functions.html">plot_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="run_system_wrapper.html">run_system_wrapper module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spacing_functions.html">spacing_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="stellar_types.html">stellar_types module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="useful_funcs.html">useful_funcs module</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a></li>
+<li class="toctree-l1"><a class="reference internal" href="binary_c_parameters.html">Binary_c parameters</a></li>
+<li class="toctree-l1"><a class="reference internal" href="grid_options_descriptions.html">Population grid code options</a></li>
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+ <div class="section" id="module-binarycpython.utils.grid">
+<span id="grid-class-module"></span><h1>grid_class module<a class="headerlink" href="#module-binarycpython.utils.grid" title="Permalink to this headline">¶</a></h1>
+<p>Module containing the Population grid class object.</p>
+<p>Here all the functionality of a Population object is defined.</p>
+<p>Useful for the user to understand the functionality,
+but copying functionality isn’t recommended except if you know what you are doing</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: add functionality to ‘on-init’ set arguments</p></li>
+<li><p>TODO: add functionality to return the initial_abundance_hash</p></li>
+<li><p>TODO: add functionality to return the isotope_hash</p></li>
+<li><p>TODO: add functionality to return the isotope_list</p></li>
+<li><p>TODO: add functionality to return the nuclear_mass_hash</p></li>
+<li><p>TODO: add functionality to return the nuclear_mass_list</p></li>
+<li><p>TODO: add functionality to return the source_list</p></li>
+<li><p>TODO: add functionality to return the ensemble_list</p></li>
+<li><p>TODO: consider spreading the functions over more files.</p></li>
+<li><p>TODO: type the private functions</p></li>
+<li><p>TODO: fix the correct object types for the default values of the bse_options</p></li>
+<li><p>TODO: uncomment and implement the HPC functionality</p></li>
+<li><p>TODO: think of a clean and nice way to unload and remove the custom_logging_info library from memory (and from disk)</p></li>
+<li><p>TODO: think of a nice way to remove the loaded grid_code/ generator from memory.</p></li>
+<li><p>TODO: Create a designated dict for results</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py class">
+<dt id="binarycpython.utils.grid.Population">
+<em class="property">class </em><code class="sig-prename descclassname">binarycpython.utils.grid.</code><code class="sig-name descname">Population</code><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Population Object. Contains all the necessary functions to set up, run and process a
+population of systems</p>
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.Moe_de_Stefano_2017">
+<code class="sig-name descname">Moe_de_Stefano_2017</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">options</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.Moe_de_Stefano_2017"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.Moe_de_Stefano_2017" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to handle setting the user input settings,
+set up the data and load that into interpolators and
+and then set the distribution functions</p>
+<p>Takes a dictionary as its only argument</p>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.add_grid_variable">
+<code class="sig-name descname">add_grid_variable</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">name</span></em>, <em class="sig-param"><span class="n">longname</span></em>, <em class="sig-param"><span class="n">valuerange</span></em>, <em class="sig-param"><span class="n">resolution</span></em>, <em class="sig-param"><span class="n">spacingfunc</span></em>, <em class="sig-param"><span class="n">probdist</span></em>, <em class="sig-param"><span class="n">dphasevol</span></em>, <em class="sig-param"><span class="n">parameter_name</span></em>, <em class="sig-param"><span class="n">gridtype</span><span class="o">=</span><span class="default_value">'edge'</span></em>, <em class="sig-param"><span class="n">branchpoint</span><span class="o">=</span><span class="default_value">0</span></em>, <em class="sig-param"><span class="n">precode</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">condition</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.add_grid_variable"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.add_grid_variable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to add grid variables to the grid_options.</p>
+<p>The execution of the grid generation will be through a nested forloop.
+Each of the grid variables will get create a deeper for loop.</p>
+<p>The real function that generates the numbers will get written to a new file in the TMP_DIR,
+and then loaded imported and evaluated.
+beware that if you insert some destructive piece of code, it will be executed anyway.
+Use at own risk.</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: Fix this complex function.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – <p>name of parameter. This is evaluated as a parameter and you can use it throughout
+the rest of the function</p>
+<p class="rubric">Examples</p>
+<p>name = ‘lnm1’</p>
+</p></li>
+<li><p><strong>longname</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – <p>Long name of parameter</p>
+<p class="rubric">Examples</p>
+<p>longname = ‘Primary mass’</p>
+</p></li>
+<li><p><strong>range</strong> – <p>Range of values to take. Does not get used really, the spacingfunction is used to
+get the values from</p>
+<p class="rubric">Examples</p>
+<p>range = [math.log(m_min), math.log(m_max)]</p>
+</p></li>
+<li><p><strong>resolution</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – <p>Resolution of the sampled range (amount of samples).
+TODO: check if this is used anywhere</p>
+<p class="rubric">Examples</p>
+<p>resolution = resolution[“M_1â€]</p>
+</p></li>
+<li><p><strong>spacingfunction</strong> – <p>Function determining how the range is sampled. You can either use a real function,
+or a string representation of a function call. Will get written to a file and
+then evaluated.</p>
+<p class="rubric">Examples</p>
+<p>spacingfunction = “const(math.log(m_min), math.log(m_max), {})â€.format(resolution[‘M_1’])</p>
+</p></li>
+<li><p><strong>precode</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>]) – <p>Extra room for some code. This code will be evaluated within the loop of the
+sampling function (i.e. a value for lnm1 is chosen already)</p>
+<p class="rubric">Examples</p>
+<p>precode = ‘M_1=math.exp(lnm1);’</p>
+</p></li>
+<li><p><strong>probdist</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – <p>FUnction determining the probability that gets asigned to the sampled parameter</p>
+<p class="rubric">Examples</p>
+<p>probdist = ‘Kroupa2001(M_1)*M_1’</p>
+</p></li>
+<li><p><strong>dphasevol</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>]) – <p>part of the parameter space that the total probability is calculated with. Put to -1
+if you want to ignore any dphasevol calculations and set the value to 1
+.. rubric:: Examples</p>
+<p>dphasevol = ‘dlnm1’</p>
+</p></li>
+<li><p><strong>condition</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>]) – <p>condition that has to be met in order for the grid generation to continue
+.. rubric:: Examples</p>
+<p>condition = ‘self.grid_options[‘binary’]==1’</p>
+</p></li>
+<li><p><strong>gridtype</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – Method on how the value range is sampled. Can be either ‘edge’ (steps starting at
+the lower edge of the value range) or ‘center’
+(steps starting at lower edge + 0.5 * stepsize).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.evolve">
+<code class="sig-name descname">evolve</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.evolve"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.evolve" title="Permalink to this definition">¶</a></dt>
+<dd><p>Entrypoint function of the whole object. From here, based on the settings,
+we set up a SLURM or CONDOR grid, or if no setting is given we go straight
+to evolving the population</p>
+<dl class="simple">
+<dt>There are no direct arguments to this function, rather it is based on the grid_options settings:</dt><dd><p>grid_options[‘slurm’]: integer boolean whether to use a slurm_grid evolution
+grid_options[‘condor’]: integer boolean whether to use a condor_grid evolution</p>
+</dd>
+</dl>
+<p>If neither of the above is set, we continue without using HPC routines
+(that doesn’t mean this cannot be run on a server with many cores)</p>
+<p>Returns an dictionary containing the analytics of the run
+TODO: change the way this is done. Slurm & CONDOR should probably do this different</p>
+<dl class="field-list simple">
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.evolve_population">
+<code class="sig-name descname">evolve_population</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.evolve_population"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.evolve_population" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to evolve populations. This handles the setting up, evolving
+and cleaning up of a population of stars.</p>
+<dl class="simple">
+<dt>Choices here are:</dt><dd><p>to evolve a population via multiprocessing or linearly on 1 core.
+NOT IMPLEMENTED YET to evolve a population via a variable grid, a source file or MC</p>
+</dd>
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: include options for different ways of generating a population here. (i.e. MC or source file)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.evolve_single">
+<code class="sig-name descname">evolve_single</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">clean_up_custom_logging_files</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.evolve_single"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.evolve_single" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to run a single system, based on the settings in the grid_options</p>
+<p>The output of the run gets returned, unless a parse function is given to this function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>clean_up_custom_logging_files</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether the clean up all the custom_logging files.</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Any</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>either returns the raw binary_c output, or whatever the parse_function does</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.export_all_info">
+<code class="sig-name descname">export_all_info</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">use_datadir</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">outfile</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">include_population_settings</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">include_binary_c_defaults</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">include_binary_c_version_info</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">include_binary_c_help_all</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.export_all_info"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.export_all_info" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that exports the all_info to a json file</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><dl class="simple">
+<dt>TODO: if any of the values in the dicts here is of a not-serializable form, then we</dt><dd><p>need to change that to a string or something so, use a recursive function that
+goes over the all_info dict and finds those that fit</p>
+</dd>
+</dl>
+</li>
+<li><p>TODO: Fix to write things to the directory. which options do which etc</p></li>
+<li><p>TODO: theres flawed logic here. rewrite this part pls</p></li>
+<li><dl class="simple">
+<dt>TODO: consider actually just removing the whole ‘output to file’ part and let the</dt><dd><p>user do this.</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>include_population_settings</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to include the population_settings
+(see function return_population_settings)</p></li>
+<li><p><strong>include_binary_c_defaults</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to include a dict containing the binary_c parameters
+and their default values</p></li>
+<li><p><strong>include_binary_c_version_info</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to include a dict containing all the binary_c
+version info (see return_binary_c_version_info)</p></li>
+<li><p><strong>include_binary_c_help_all</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to include a dict containing all the information
+about the binary_c parameters (see get_help_all)</p></li>
+<li><p><strong>use_datadir</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – boolean whether to use the custom_options[‘data_dir’] to write the file to.
+If the custom_options[“base_filenameâ€] is set, the output file will be called
+<custom_options[“base_filenameâ€]>_settings.json. Otherwise a file called
+simulation_<date+time>_settings.json will be created</p></li>
+<li><p><strong>outfile</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>]) – if use_datadir is false, a custom filename will be used</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>]</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.format_ensemble_results">
+<code class="sig-name descname">format_ensemble_results</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">ensemble_dictionary</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.format_ensemble_results"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.format_ensemble_results" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to handle all the steps of formatting the ensemble output again.</p>
+<dl class="simple">
+<dt>Input:</dt><dd><p>ensemble_dictionary: dictionary containing all the ensemble results</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.get_stream_logger">
+<code class="sig-name descname">get_stream_logger</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">level</span><span class="o">=</span><span class="default_value">10</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.get_stream_logger"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.get_stream_logger" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return logger with configured StreamHandler.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.last_grid_variable">
+<code class="sig-name descname">last_grid_variable</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.last_grid_variable"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.last_grid_variable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Functon that returns the last grid variable
+(i.e. the one with the highest grid_variable_number)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.parse_cmdline">
+<code class="sig-name descname">parse_cmdline</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.parse_cmdline"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.parse_cmdline" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to handle settings values via the command line.
+Best to be called after all the .set(..) lines, and just before the .evolve() is called</p>
+<p>If you input any known parameter (i.e. contained in grid_options, defaults/bse_options
+or custom_options), this function will attempt to convert the input from string
+(because everything is string) to the type of the value that option had before.</p>
+<p>The values of the bse_options are initially all strings, but after user input they
+can change to ints.</p>
+<p>The value of any new parameter (which will go to custom_options) will be a string.</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: remove the need for –cmdline</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.return_all_info">
+<code class="sig-name descname">return_all_info</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">include_population_settings</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">include_binary_c_defaults</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">include_binary_c_version_info</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">include_binary_c_help_all</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.return_all_info"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.return_all_info" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that returns all the information about the population and binary_c</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>include_population_settings</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to include the population_settings (see function return_population_settings)</p></li>
+<li><p><strong>include_binary_c_defaults</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to include a dict containing the binary_c parameters and their default
+values</p></li>
+<li><p><strong>include_binary_c_version_info</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to include a dict containing all the binary_c version info
+(see return_binary_c_version_info)</p></li>
+<li><p><strong>include_binary_c_help_all</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to include a dict containing all the information about
+the binary_c parameters (see get_help_all)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary containing all, or part of, the above dictionaries</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.return_population_settings">
+<code class="sig-name descname">return_population_settings</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.return_population_settings"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.return_population_settings" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that returns all the options that have been set.</p>
+<p>Can be combined with json to make a nice file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dictionary containing “bse_optionsâ€, “grid_optionsâ€, “custom_optionsâ€</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.set">
+<code class="sig-name descname">set</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.set"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to set the values of the population. This is the preferred method to set values
+of functions, as it provides checks on the input.</p>
+<p>the bse_options will get populated with all the those that have a key that is present
+in the self.defaults</p>
+<p>the grid_options will get updated with all the those that have a key that is present
+in the self.grid_options</p>
+<p>If neither of above is met; the key and the value get stored in a custom_options dict.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>kwargs all the arguments are either set to binary_c parameters</strong> (<em>via</em>) – </p></li>
+<li><p><strong>or custom_options</strong> (<em>grid_options</em>) – </p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.set_moe_distefano_settings">
+<code class="sig-name descname">set_moe_distefano_settings</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">options</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.set_moe_distefano_settings"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.set_moe_distefano_settings" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to set user input configurations for the moe & distefano methods</p>
+<p>If nothing is passed then we just use the default options</p>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.system_queue_filler">
+<code class="sig-name descname">system_queue_filler</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">job_queue</span></em>, <em class="sig-param"><span class="n">amt_cores</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.system_queue_filler"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.system_queue_filler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that is responsible for keeping the queue filled.</p>
+<p>This will generate the systems until it is full, and then keeps trying to fill it.
+Will have to play with the size of this.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt id="binarycpython.utils.grid.Population.write_binary_c_calls_to_file">
+<code class="sig-name descname">write_binary_c_calls_to_file</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">output_dir</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">output_filename</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">include_defaults</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid.html#Population.write_binary_c_calls_to_file"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid.Population.write_binary_c_calls_to_file" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that loops over the gridcode and writes the generated parameters to a file.
+In the form of a commandline call</p>
+<p>Only useful when you have a variable grid as system_generator. MC wouldnt be that useful</p>
+<p>Also, make sure that in this export there are the basic parameters
+like m1,m2,sep, orb-per, ecc, probability etc.</p>
+<p>On default this will write to the datadir, if it exists</p>
+<p>WARNING; dont use yet. not fully tested.</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: test this function</p></li>
+<li><p>TODO: make sure the binary_c_python .. output file has a unique name</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>output_dir</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>]) – (optional, default = None) directory where to write the file to. If custom_options[‘data_dir’] is present, then that one will be used first, and then the output_dir</p></li>
+<li><p><strong>output_filename</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>]) – (optional, default = None) filename of the output. If not set it will be called “binary_c_calls.txtâ€</p></li>
+<li><p><strong>include_defaults</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – (optional, default = None) whether to include the defaults of binary_c in the lines that are written. Beware that this will result in very long lines, and it might be better to just export the binary_c defaults and keep them in a seperate file.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
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+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+<li class="toctree-l1"><a class="reference internal" href="grid_options_descriptions.html">Population grid code options</a></li>
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+ <div class="section" id="module-binarycpython.utils.grid_options_defaults">
+<span id="grid-options-and-descriptions"></span><h1>Grid options and descriptions<a class="headerlink" href="#module-binarycpython.utils.grid_options_defaults" title="Permalink to this headline">¶</a></h1>
+<dl class="simple">
+<dt>Module that contains the default options for the population grid code along with the description for these options, in the form of dictionaries:</dt><dd><ul class="simple">
+<li><p>grid_options_defaults_dict: dictionary containing the default values for all the options</p></li>
+<li><p>grid_options_descriptions: dictionary containing the description for these options.</p></li>
+</ul>
+</dd>
+<dt>There are several other functions in this module, mostly to generate help texts or documents:</dt><dd><ul class="simple">
+<li><p>grid_options_help: interactive function for the user to get descriptions for options</p></li>
+<li><p>grid_options_description_checker: function that checks that checks which options have a description.</p></li>
+<li><p>write_grid_options_to_rst_file: function to generate the .rst document for the docs</p></li>
+</ul>
+</dd>
+</dl>
+<p>With this its also possible to automatically generate a document containing all the setting names + descriptions.</p>
+<p>All the options starting with _ should not be changed by the user except when you really know what you’re doing (which is probably hacking the code :P)</p>
+<dl class="py function">
+<dt id="binarycpython.utils.grid_options_defaults.grid_options_description_checker">
+<code class="sig-prename descclassname">binarycpython.utils.grid_options_defaults.</code><code class="sig-name descname">grid_options_description_checker</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">print_info</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid_options_defaults.html#grid_options_description_checker"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid_options_defaults.grid_options_description_checker" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that checks which descriptions are missing</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>print_info</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to print out information about which options contain proper descriptions and which do not</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the amount of undescribed keys</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.grid_options_defaults.grid_options_help">
+<code class="sig-prename descclassname">binarycpython.utils.grid_options_defaults.</code><code class="sig-name descname">grid_options_help</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">option</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid_options_defaults.html#grid_options_help"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid_options_defaults.grid_options_help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that prints out the description of a grid option. Useful function for the user.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>option</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – which option you want to have the description of</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dict containg the option, the description if its there, otherwise empty string. And if the key doesnt exist, the dict is empty</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.grid_options_defaults.print_option_descriptions">
+<code class="sig-prename descclassname">binarycpython.utils.grid_options_defaults.</code><code class="sig-name descname">print_option_descriptions</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">filehandle</span></em>, <em class="sig-param"><span class="n">options</span></em>, <em class="sig-param"><span class="n">descriptions</span></em>, <em class="sig-param"><span class="n">title</span></em>, <em class="sig-param"><span class="n">extra_text</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid_options_defaults.html#print_option_descriptions"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid_options_defaults.print_option_descriptions" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.grid_options_defaults.write_grid_options_to_rst_file">
+<code class="sig-prename descclassname">binarycpython.utils.grid_options_defaults.</code><code class="sig-name descname">write_grid_options_to_rst_file</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">output_file</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/grid_options_defaults.html#write_grid_options_to_rst_file"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.grid_options_defaults.write_grid_options_to_rst_file" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that writes the descriptions of the grid options to a rst file</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><p>TODO: seperate things into private and public options</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>output_file</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – target file where the grid options descriptions are written to</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
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+<br><br>
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+<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a></li>
+<li class="toctree-l1"><a class="reference internal" href="binary_c_parameters.html">Binary_c parameters</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Population grid code options</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#public-options">Public options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#moe-distefano-sampler-options">Moe & Distefano sampler options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#private-options">Private options</a></li>
+</ul>
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+
+ <div class="section" id="population-grid-code-options">
+<h1>Population grid code options<a class="headerlink" href="#population-grid-code-options" title="Permalink to this headline">¶</a></h1>
+<p>The following chapter contains all grid code options, along with their descriptions
+There are 1 options that are not described yet.</p>
+<div class="section" id="public-options">
+<h2>Public options<a class="headerlink" href="#public-options" title="Permalink to this headline">¶</a></h2>
+<p>The following options are meant to be changed by the user.</p>
+<div class="line-block">
+<div class="line"><strong>C_auto_logging</strong>: Dictionary containing parameters to be logged by binary_c. The structure of this dictionary is as follows: the key is used as the headline which the user can then catch. The value at that key is a list of binary_c system parameters (like star[0].mass)</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>C_logging_code</strong>: Variable to store the exact code that is used for the custom_logging. In this way the user can do more complex logging, as well as putting these logging strings in files.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>amt_cores</strong>: The amount of cores that the population grid will use. The multiprocessing is useful but make sure to figure out how many logical cores the machine has. The core is multiprocessed, not multithreaded, and will gain no extra speed when amt_cores exceeds the amount of logical cores. Input: int</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>combine_ensemble_with_thread_joining</strong>: BOolean flag on whether to combine everything and return it to the user or if false: write it to data_dir/ensemble_output_{popuation_id}_{thread_id}.json</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>condor</strong>: Int flag whether to use a condor type population evolution. Not implemented yet.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>custom_logging_func_memaddr</strong>: Memory adress where the custom_logging_function is stored. Input: int</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>ensemble_factor_in_probability_weighted_mass</strong>: Flag to multiply all the ensemble results with 1/probability_weighted_mass</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>evolution_type</strong>: Variable containing the type of evolution used of the grid. Multiprocessing or linear processing</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>failed_systems_threshold</strong>: Variable storing the maximum amount of systems that are allowed to fail before logging their commandline arguments to failed_systems log files</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>gridcode_filename</strong>: Filename for the grid code. Set and used by the population object. TODO: allow the user to provide their own function, rather than only a generated function.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>log_args</strong>: Boolean to log the arguments. Unused</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>log_args_dir</strong>: Directory to log the arguments to. Unused</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>log_file</strong>: Log file for the population object. Unused</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>log_runtime_systems</strong>: Whether to log the runtime of the systems . Each systems run by the thread is logged to a file and is stored in the tmp_dir. (1 file per thread). Don’t use this if you are planning to run alot of systems. This is mostly for debugging and finding systems that take long to run. Integer, default = 0. if value is 1 then the systems are logged</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>m&s_options</strong>: Internal variable that holds the M&S options. Don’t write to this your self</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>max_queue_size</strong>: Maximum size of the queue that is used to feed the processes. Don’t make this too big! Default: 1000. Input: int</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>modulo</strong>: No description available yet</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>multiplicity_fraction_function</strong>: Which multiplicity fraction function to use. 0: None, 1: Arenou 2010, 2: Rhagavan 2010, 3: M&S 2017</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>parse_function</strong>: Function that the user can provide to handle the output the binary_c. This function has to take the arguments (self, output). Its best not to return anything in this function, and just store stuff in the grid_options[‘results’] dictionary, or just output results to a file</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>repeat</strong>: Factor of how many times a system should be repeated. Consider the evolution splitting binary_c argument for supernovae kick repeating.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>run_zero_probability_system</strong>: Whether to run the zero probability systems. Default: True. Input: boolean</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>slurm</strong>: Int flag whether to use a slurm type population evolution.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>source_file_filename</strong>: Variable containing the source file containing lines of binary_c commandline calls. These all have to start with binary_c.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>tmp_dir</strong>: Directory where certain types of output are stored. The grid code is stored in that directory, as well as the custom logging libraries. Log files and other diagnostics will usually be written to this location, unless specified otherwise</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>verbosity</strong>: Verbosity of the population code. Default is 0, by which only errors will be printed. Higher values will show more output, which is good for debugging.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>weight</strong>: Weight factor for each system. The calculated probability is mulitplied by this. If the user wants each system to be repeated several times, then this variable should not be changed, rather change the _repeat variable instead, as that handles the reduction in probability per system. This is useful for systems that have a process with some random element in it.</div>
+</div>
+</div>
+<div class="section" id="moe-distefano-sampler-options">
+<h2>Moe & Distefano sampler options<a class="headerlink" href="#moe-distefano-sampler-options" title="Permalink to this headline">¶</a></h2>
+<p>The following options are meant to be changed by the user.</p>
+<div class="line-block">
+<div class="line"><strong>Mmin</strong>: Minimum stellar mass</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>multiplicity_model</strong>:
+multiplicity model (as a function of log10M1)</div>
+</div>
+<blockquote>
+<div><p>You can use ‘Poisson’ which uses the system multiplicty
+given by Moe and maps this to single/binary/triple/quad
+fractions.</p>
+<p>Alternatively, ‘data’ takes the fractions directly
+from the data, but then triples and quadruples are
+combined (and there are NO quadruples).</p>
+</div></blockquote>
+<div class="line-block">
+<div class="line"><strong>multiplicity_modulator</strong>:
+[single, binary, triple, quadruple]</div>
+</div>
+<blockquote>
+<div><dl class="simple">
+<dt>e.g. [1,0,0,0] for single stars only</dt><dd><p>[0,1,0,0] for binary stars only</p>
+</dd>
+</dl>
+<p>defaults to [1,1,0,0] i.e. singles and binaries</p>
+</div></blockquote>
+<div class="line-block">
+<div class="line"><strong>normalize_multiplicities</strong>:
+‘norm’: normalize so the whole population is 1.0
+ after implementing the appropriate fractions
+ S/(S+B+T+Q), B/(S+B+T+Q), T/(S+B+T+Q), Q/(S+B+T+Q)
+ given a mix of multiplities, you can either (noting that
+ here (S,B,T,Q) = appropriate modulator * model(S,B,T,Q) )
+ note: if you only set one multiplicity_modulator
+ to 1, and all the others to 0, then normalizing
+ will mean that you effectively have the same number
+ of stars as single, binary, triple or quad (whichever
+ is non-zero) i.e. the multiplicity fraction is ignored.
+ This is probably not useful except for
+ testing purposes or comparing to old grids.</div>
+</div>
+<blockquote>
+<div><dl>
+<dt>‘raw’<span class="classifier">stick to what is predicted, i.e.</span></dt><dd><p>S/(S+B+T+Q), B/(S+B+T+Q), T/(S+B+T+Q), Q/(S+B+T+Q)
+without normalization
+(in which case the total probability < 1.0 unless
+all you use single, binary, triple and quadruple)</p>
+</dd>
+<dt>‘merge’<span class="classifier">e.g. if you only have single and binary,</span></dt><dd><p>add the triples and quadruples to the binaries, so
+binaries represent all multiple systems
+…
+<strong>* this is canonical binary population synthesis *</strong></p>
+<p>It only takes the maximum multiplicity into account,
+i.e. it doesn’t multiply the resulting array by the multiplicity modulator again.
+This prevents the resulting array to always be 1 if only 1 multiplicity modulator element is nonzero</p>
+<p>Note: if multiplicity_modulator == [1,1,1,1]. this option does nothing (equivalent to ‘raw’).</p>
+</dd>
+</dl>
+</div></blockquote>
+<div class="line-block">
+<div class="line"><strong>q_high_extrapolation_method</strong>: Same as q_low_extrapolation_method</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>q_low_extrapolation_method</strong>:
+q extrapolation (below 0.15) method
+ none
+ flat
+ linear2
+ plaw2
+ nolowq</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>ranges</strong>:</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>resolutions</strong>:</div>
+</div>
+</div>
+<div class="section" id="private-options">
+<h2>Private options<a class="headerlink" href="#private-options" title="Permalink to this headline">¶</a></h2>
+<p>The following options are not meant to be changed by the user, as these options are used and set internally by the object itself. The description still is provided, but just for documentation purposes.</p>
+<div class="line-block">
+<div class="line"><strong>_actually_evolve_system</strong>: Whether to actually evolve the systems of just act as if. for testing. used in _process_run_population_grid</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_binary_c_config_executable</strong>: Full path of the binary_c-config executable. This options is not used in the population object.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_binary_c_dir</strong>: Director where binary_c is stored. This options are not really used</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_binary_c_executable</strong>: Full path to the binary_c executable. This options is not used in the population object.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_binary_c_shared_library</strong>: Full path to the libbinary_c file. This options is not used in the population object</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_commandline_input</strong>: String containing the arguments passed to the population object via the command line. Set and used by the population object.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_count</strong>: Counter tracking which system the generator is on.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_custom_logging_shared_library_file</strong>: filename for the custom_logging shared library. Used and set by the population object</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_end_time_evolution</strong>: Variable storing the end timestamp of the population evolution. Set by the object itself</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_errors_exceeded</strong>: Variable storing a boolean flag whether the amount of errors was higher than the set threshold (failed_systems_threshold). If True, then the commandline arguments of the failing systems will not be stored in the failed_system_log files.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_errors_found</strong>: Variable storing a boolean flag whether errors by binary_c are encountered.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_evolution_type_options</strong>: List containing the evolution type options.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_failed_count</strong>: Variable storing the amount of failed systems.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_failed_prob</strong>: Variable storing the total probability of all the failed systems</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_failed_systems_error_codes</strong>: List storing the unique error codes raised by binary_c of the failed systems</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_grid_variables</strong>: Dictionary storing the grid_variables. These contain properties which are accessed by the _generate_grid_code function</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_loaded_ms_data</strong>: Internal variable storing whether the M&S data has been loaded into memory</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_main_pid</strong>: Main process ID of the master process. Used and set by the population object.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_population_id</strong>: Variable storing a unique 32-char hex string.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_probtot</strong>: Total probability of the population.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_set_ms_grid</strong>: Internal flag whether the M&S grid has been loaded</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_start_time_evolution</strong>: Variable storing the start timestamp of the population evolution. Set by the object itself.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_store_memaddr</strong>: Memory adress of the store object for binary_c.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_system_generator</strong>: Function object that contains the system generator function. This can be from a grid, or a source file, or a montecarlo grid.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_total_mass_run</strong>: To count the total mass that thread/process has ran</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_total_probability_weighted_mass_run</strong>: To count the total mass * probability for each system that thread/process has ran</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_total_starcount</strong>: Variable storing the total amount of systems in the generator. Used and set by the population object.</div>
+</div>
+<div class="line-block">
+<div class="line"><strong>_zero_prob_stars_skipped</strong>: Internal counter to track how many systems are skipped because they have 0 probability</div>
+</div>
+</div>
+</div>
+
+
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+<li class="toctree-l1 current"><a class="reference internal" href="modules.html">Binarycpython code</a><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="custom_logging_functions.html">custom_logging_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distribution_functions.html">distribution_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="functions.html">functions module</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="grid_options_defaults.html">Grid options and descriptions</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">hpc_functions module</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="run_system_wrapper.html">run_system_wrapper module</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="useful_funcs.html">useful_funcs module</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="grid_options_descriptions.html">Population grid code options</a></li>
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+ <div class="section" id="module-binarycpython.utils.hpc_functions">
+<span id="hpc-functions-module"></span><h1>hpc_functions module<a class="headerlink" href="#module-binarycpython.utils.hpc_functions" title="Permalink to this headline">¶</a></h1>
+<p>File containing functions for HPC computing, distributed tasks on clusters etc.</p>
+<p>Functions that the slurm and condor subroutines of the population object use.</p>
+<p>Mainly divided in 2 sections: Slurm and Condor</p>
+</div>
+
+
+ </div>
+
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+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+<li class="toctree-l1"><a class="reference internal" href="readme_link.html">Python module for binary_c</a></li>
+<li class="toctree-l1"><a class="reference internal" href="modules.html">Binarycpython code</a></li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a></li>
+<li class="toctree-l1"><a class="reference internal" href="binary_c_parameters.html">Binary_c parameters</a></li>
+<li class="toctree-l1"><a class="reference internal" href="grid_options_descriptions.html">Population grid code options</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python">Visit the GitLab repo</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/issues/new">Submit an issue</a></li>
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+
+ <div class="section" id="welcome-to-binary-c-python-s-documentation">
+<h1>Welcome to binary_c-python’s documentation!<a class="headerlink" href="#welcome-to-binary-c-python-s-documentation" title="Permalink to this headline">¶</a></h1>
+</div>
+<div class="section" id="python-module-for-binary-c">
+<h1>Python module for binary_c<a class="headerlink" href="#python-module-for-binary-c" title="Permalink to this headline">¶</a></h1>
+<p>Coverage:
+.. image:: ./badges/coverage.svg</p>
+<blockquote>
+<div><dl class="field-list simple">
+<dt class="field-odd">target</dt>
+<dd class="field-odd"><p>./badges/coverage.svg</p>
+</dd>
+<dt class="field-even">alt</dt>
+<dd class="field-even"><p>test coverage</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>Binary population synthesis code that interfaces with binary_c. Based on a original work by Jeff Andrews (can be found in old_solution/ directory). Updated and extended for Python3 by David Hendriks, Robert Izzard</p>
+<div class="section" id="requirements">
+<h2>Requirements<a class="headerlink" href="#requirements" title="Permalink to this headline">¶</a></h2>
+<p>To run this code you need to at least have installations of:</p>
+<ul class="simple">
+<li><p>Python 3.6 or higher</p></li>
+<li><p>binary_c version 2.1.7 or higher</p></li>
+</ul>
+<p>And the following python packages (which will get installed automatically when installing with pip):</p>
+<ul class="simple">
+<li><p>numpy</p></li>
+<li><p>pytest</p></li>
+<li><p>h5py</p></li>
+<li><p>pathos</p></li>
+<li><p>pandas</p></li>
+<li><p>astropy</p></li>
+<li><p>matplotlib</p></li>
+<li><p>py_rinterpolate</p></li>
+</ul>
+</div>
+<div class="section" id="environment-variables">
+<h2>Environment variables<a class="headerlink" href="#environment-variables" title="Permalink to this headline">¶</a></h2>
+<p>Before compilation you need to have certain environment variables:</p>
+<p>Required:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">BINARY_C</span></code> should point to the root directory of your binary_c installation</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">LD_LIBRARY_PATH</span></code> should include $BINARY_C/src and whatever directories are required to run binary_c (e.g. locations of libgsl, libmemoize, librinterpolate, etc.)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">LIBRARY_PATH</span></code> should include whatever directories are required to build binary_c (e.g. locations of libgsl, libmemoize, librinterpolate, etc.)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">GSL_DIR</span></code> should point to the root location where you installed GSL to. This root dir should contain <code class="docutils literal notranslate"><span class="pre">bin/</span></code>, <code class="docutils literal notranslate"><span class="pre">lib/</span></code> etc</p></li>
+</ul>
+</div>
+<div class="section" id="build-instructions">
+<h2>Build instructions<a class="headerlink" href="#build-instructions" title="Permalink to this headline">¶</a></h2>
+<p>First, make sure you have built binary_c (See <code class="docutils literal notranslate"><span class="pre">$BINARY_C/doc/binary_c2.pdf</span></code> section: installation for all the installation instructions for <code class="docutils literal notranslate"><span class="pre">binary_c</span></code>)) and that it functions correctly.</p>
+<div class="section" id="installation-via-pip">
+<h3>Installation via PIP:<a class="headerlink" href="#installation-via-pip" title="Permalink to this headline">¶</a></h3>
+<p>To install this package via pip:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">pip</span> <span class="n">install</span> <span class="n">binarycpython</span>
+</pre></div>
+</div>
+</div>
+<div class="section" id="installation-from-source">
+<h3>Installation from source:<a class="headerlink" href="#installation-from-source" title="Permalink to this headline">¶</a></h3>
+<p>For this it is best to set up a virtual environment. Activate the virtualenvironment and enter the cloned version of the repo.</p>
+<p>Then run:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">clean</span> <span class="o">&&</span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">build</span> <span class="o">--</span><span class="n">force</span> <span class="o">&&</span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">sdist</span> <span class="o">&&</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">-</span><span class="n">v</span> <span class="n">dist</span><span class="o">/</span><span class="n">binarycpython</span><span class="o">-<</span><span class="n">version</span> <span class="n">of</span> <span class="n">this</span> <span class="n">package</span><span class="o">>.</span><span class="n">tar</span><span class="o">.</span><span class="n">gz</span>
+</pre></div>
+</div>
+<p>You can find the version of this package in setup.py.</p>
+<p>This will install this package into the virtual environment. Making changes to the sourcecode can be “installed†into the virtual env with the same command.</p>
+<p>If this is not the first time you install the package, but rather rebuild it because you make changes in either binary_c or binarycpython, you should ignore the currently installed version, and also skip installing the dependencies again, by executing the following command:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">clean</span> <span class="o">&&</span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">build</span> <span class="o">--</span><span class="n">force</span> <span class="o">&&</span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">sdist</span> <span class="o">&&</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">--</span><span class="n">ignore</span><span class="o">-</span><span class="n">installed</span> <span class="o">--</span><span class="n">no</span><span class="o">-</span><span class="n">dependencies</span> <span class="o">-</span><span class="n">v</span> <span class="n">dist</span><span class="o">/</span><span class="n">binarycpython</span><span class="o">-<</span><span class="n">version</span> <span class="n">of</span> <span class="n">this</span> <span class="n">package</span><span class="o">>.</span><span class="n">tar</span><span class="o">.</span><span class="n">gz</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="section" id="examples">
+<h2>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h2>
+<p>See the examples/ directory for example scripts and notebooks. The documentation contains example pages as well.</p>
+</div>
+<div class="section" id="usage-notes">
+<h2>Usage notes<a class="headerlink" href="#usage-notes" title="Permalink to this headline">¶</a></h2>
+<p>Make sure that with every change/recompilation you make in <code class="docutils literal notranslate"><span class="pre">binary_c</span></code>, you also rebuild this package. Whenever you change the sourcecode of this package, you need to reinstall it into your virtualenvironment as well</p>
+</div>
+<div class="section" id="documentation">
+<h2>Documentation<a class="headerlink" href="#documentation" title="Permalink to this headline">¶</a></h2>
+<p>Look in the docs/ directory. Within the build/html/ there is the html version of the documentation. The</p>
+</div>
+<div class="section" id="faq-issues">
+<h2>FAQ/Issues:<a class="headerlink" href="#faq-issues" title="Permalink to this headline">¶</a></h2>
+<p>Building issues with binary_c itself:</p>
+<ul class="simple">
+<li><p>see the documentation of binary_c (in doc/).</p></li>
+<li><p>If you have MESA installed, make sure that the <code class="docutils literal notranslate"><span class="pre">$MESASDK_ROOT/bin/mesasdk_init.sh</span></code> is not sourced. It comes with its own version of some programs, and those can interfere with installing.</p></li>
+</ul>
+<p>When Pip install fails:</p>
+<ul class="simple">
+<li><p>Run the installation with <code class="docutils literal notranslate"><span class="pre">-v</span></code> and/or <code class="docutils literal notranslate"><span class="pre">--log</span> <span class="pre"><logfile></span></code> to get some more info</p></li>
+<li><p>If gcc throws errors like <code class="docutils literal notranslate"><span class="pre">gcc:</span> <span class="pre">error:</span> <span class="pre">unrecognized</span> <span class="pre">command</span> <span class="pre">line</span> <span class="pre">option</span> <span class="pre">‘-ftz’;</span> <span class="pre">did</span> <span class="pre">you</span> <span class="pre">mean</span> <span class="pre">‘-flto’?</span></code>, this might be due to that the python on that system was built with a different compiler. It then passes the python3.6-config –cflags to the binarycpython installation, which, if done with gcc, will not work. Try a different python3.6. I suggest using <code class="docutils literal notranslate"><span class="pre">pyenv</span></code> to manage python versions. If installing a version of python with pyenv is not possible, then try to use a python version that is avaible to the machine that is built with the same compiler as binary_c was built with.</p></li>
+<li><p>if pip installation results in <code class="docutils literal notranslate"><span class="pre">No</span> <span class="pre">files/directories</span> <span class="pre">in</span> <span class="pre">/tmp/pip-1ckzg0p9-build/pip-egg-info</span> <span class="pre">(from</span> <span class="pre">PKG-INFO)</span></code>, try running it verbose (<code class="docutils literal notranslate"><span class="pre">-v</span></code>) to see what is actually going wrong.</p></li>
+<li><p>If pip terminates with the error FileNotFoundError: [Errno 2] No such file or directory: ‘<…>/binary_c-config’ Then make sure that the path to your main $BINARY_C directory is set correctly.</p></li>
+</ul>
+<p>Other:</p>
+<ul class="simple">
+<li><p>When running jupyter notebooks, make sure you are running the jupyter installation from the same virtual environment.</p></li>
+<li><p>When the output of binary_c seems to be different than expected, you might need to rebuild this python package. Everytime binary_c is compiled, this package needs to be rebuilt too.</p></li>
+</ul>
+<div class="toctree-wrapper compound">
+<p class="caption"><span class="caption-text">Contents:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="readme_link.html">Python module for binary_c</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="readme_link.html#requirements">Requirements</a></li>
+<li class="toctree-l2"><a class="reference internal" href="readme_link.html#environment-variables">Environment variables</a></li>
+<li class="toctree-l2"><a class="reference internal" href="readme_link.html#build-instructions">Build instructions</a></li>
+<li class="toctree-l2"><a class="reference internal" href="readme_link.html#examples">Examples</a></li>
+<li class="toctree-l2"><a class="reference internal" href="readme_link.html#usage-notes">Usage notes</a></li>
+<li class="toctree-l2"><a class="reference internal" href="readme_link.html#documentation">Documentation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="readme_link.html#faq-issues">FAQ/Issues:</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="modules.html">Binarycpython code</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="custom_logging_functions.html">custom_logging_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distribution_functions.html">distribution_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="functions.html">functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="grid.html">grid_class module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="grid_options_defaults.html">Grid options and descriptions</a></li>
+<li class="toctree-l2"><a class="reference internal" href="hpc_functions.html">hpc_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="plot_functions.html">plot_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="run_system_wrapper.html">run_system_wrapper module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="spacing_functions.html">spacing_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="stellar_types.html">stellar_types module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="useful_funcs.html">useful_funcs module</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a></li>
+<li class="toctree-l1"><a class="reference internal" href="binary_c_parameters.html">Binary_c parameters</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="binary_c_parameters.html#section-stars">Section: stars</a></li>
+<li class="toctree-l2"><a class="reference internal" href="binary_c_parameters.html#section-binary">Section: binary</a></li>
+<li class="toctree-l2"><a class="reference internal" href="binary_c_parameters.html#section-nucsyn">Section: nucsyn</a></li>
+<li class="toctree-l2"><a class="reference internal" href="binary_c_parameters.html#section-output">Section: output</a></li>
+<li class="toctree-l2"><a class="reference internal" href="binary_c_parameters.html#section-input">Section: input</a></li>
+<li class="toctree-l2"><a class="reference internal" href="binary_c_parameters.html#section-i-o">Section: i/o</a></li>
+<li class="toctree-l2"><a class="reference internal" href="binary_c_parameters.html#section-algorithms">Section: algorithms</a></li>
+<li class="toctree-l2"><a class="reference internal" href="binary_c_parameters.html#section-misc">Section: misc</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="grid_options_descriptions.html">Population grid code options</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="grid_options_descriptions.html#public-options">Public options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="grid_options_descriptions.html#moe-distefano-sampler-options">Moe & Distefano sampler options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="grid_options_descriptions.html#private-options">Private options</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference external" href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python">Visit the GitLab repo</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/issues/new">Submit an issue</a></li>
+</ul>
+</div>
+</div>
+</div>
+<div class="section" id="indices-and-tables">
+<h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Permalink to this headline">¶</a></h1>
+<ul class="simple">
+<li><p><a class="reference internal" href="genindex.html"><span class="std std-ref">Index</span></a></p></li>
+<li><p><a class="reference internal" href="py-modindex.html"><span class="std std-ref">Module Index</span></a></p></li>
+<li><p><a class="reference internal" href="search.html"><span class="std std-ref">Search Page</span></a></p></li>
+</ul>
+</div>
+
+
+ </div>
+
+ </div>
+ <footer>
+
+ <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
+
+ <a href="readme_link.html" class="btn btn-neutral float-right" title="Python module for binary_c" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
+
+
+ </div>
+
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
+
+
+
+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
+
+
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+</footer>
+
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+ </div>
+
+ </section>
+
+ </div>
+
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+ <script type="text/javascript">
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+ SphinxRtdTheme.Navigation.enable(true);
+ });
+ </script>
+
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+
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+
+
+</body>
+</html>
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diff --git a/docs/build/html/modules.html b/docs/build/html/modules.html
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+
+
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+ <div class="section" id="module-binarycpython.utils.plot_functions">
+<span id="plot-functions-module"></span><h1>plot_functions module<a class="headerlink" href="#module-binarycpython.utils.plot_functions" title="Permalink to this headline">¶</a></h1>
+<p>Module that contains functionality to plot some properties of (binary) systems.</p>
+<p>Different routines are defined here to plot orbits, masses, angular momenta etc.</p>
+<dl class="simple">
+<dt>Structure of file:</dt><dd><p>custom logging strings
+parsing functions
+plotting functions
+master function: plot_system</p>
+</dd>
+</dl>
+<p>All the loose components here can ofcourse be used in other routines if you want.</p>
+<p>There is no preloaded matplotlib rc, you should do that yourself</p>
+<p>These plotting routines are designed for binary systems, and admittingly they are here mostly for
+inspirational purposes, since one would problably want to customize the plots.
+Regardless, having some plotting routines in here seemed like a nice idea</p>
+<dl class="simple">
+<dt>Tasks</dt><dd><p>TODO: This module is not finished yet.
+TODO: Make modules for single system
+TODO: Put all the plotting functions in here</p>
+</dd>
+</dl>
+<dl class="py function">
+<dt id="binarycpython.utils.plot_functions.color_by_index">
+<code class="sig-prename descclassname">binarycpython.utils.plot_functions.</code><code class="sig-name descname">color_by_index</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">row</span></em>, <em class="sig-param"><span class="n">column</span></em>, <em class="sig-param"><span class="n">colors</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/plot_functions.html#color_by_index"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.plot_functions.color_by_index" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that returns a color based on row and column information. Used to color the stellar types</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.plot_functions.dummy">
+<code class="sig-prename descclassname">binarycpython.utils.plot_functions.</code><code class="sig-name descname">dummy</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/plot_functions.html#dummy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.plot_functions.dummy" title="Permalink to this definition">¶</a></dt>
+<dd><p>Placeholder</p>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.plot_functions.parse_function_hr_diagram">
+<code class="sig-prename descclassname">binarycpython.utils.plot_functions.</code><code class="sig-name descname">parse_function_hr_diagram</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">output</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/plot_functions.html#parse_function_hr_diagram"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.plot_functions.parse_function_hr_diagram" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parsing function for the HR plotting routine</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>output</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – raw binary_c output string</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>pandas dataframe containing the columns for the HR diagram plotting routine</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.plot_functions.parse_function_masses">
+<code class="sig-prename descclassname">binarycpython.utils.plot_functions.</code><code class="sig-name descname">parse_function_masses</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">output</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/plot_functions.html#parse_function_masses"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.plot_functions.parse_function_masses" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parsing function for the orbit plotting routine</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>output</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – raw binary_c output string</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>pandas dataframe containing the columns for the masses plotting routine</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.plot_functions.parse_function_orbit">
+<code class="sig-prename descclassname">binarycpython.utils.plot_functions.</code><code class="sig-name descname">parse_function_orbit</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">output</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/plot_functions.html#parse_function_orbit"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.plot_functions.parse_function_orbit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parsing function for the orbit plotting routine</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>output</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code>) – raw binary_c output string</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>pandas dataframe containing the columns for the orbit plotting routine</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.plot_functions.plot_HR_diagram">
+<code class="sig-prename descclassname">binarycpython.utils.plot_functions.</code><code class="sig-name descname">plot_HR_diagram</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">df</span></em>, <em class="sig-param"><span class="n">show_stellar_types</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">show_plot</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">use_astropy_values</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/plot_functions.html#plot_HR_diagram"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.plot_functions.plot_HR_diagram" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to plot the HR diagram evolution of the system. Assumes its a binary system.</p>
+<p>For a single star see plot_HR_diagram_single</p>
+<p>Plot shows Log luminosity on y axis,
+log temperature on x axis (reversed)</p>
+<dl class="simple">
+<dt>requires:</dt><dd><ul class="simple">
+<li><p>time</p></li>
+<li><p>stellar_type_1</p></li>
+<li><p>stellar_type_2</p></li>
+<li><p>radius_1</p></li>
+<li><p>radius_2</p></li>
+<li><p>luminosity_1</p></li>
+<li><p>luminosity_2</p></li>
+</ul>
+</dd>
+<dt>Plots:</dt><dd><ul class="simple">
+<li><p>luminosity_1 vs teff_1</p></li>
+<li><p>luminosity_2 vs teff_2</p></li>
+</ul>
+</dd>
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: add HD limit</p></li>
+<li><p>TODO: add lines of constant radius</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df</strong> – pandas dataframe with the required columns</p></li>
+<li><p><strong>show_stellar_types</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to color code the tracks and show the stellar types</p></li>
+<li><p><strong>show_plot</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to actually show the plot. If false: returns the figure object</p></li>
+<li><p><strong>use_astropy_values</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – Whether to use astropy values for for Rsun, Lsun and stefan boltzman constant.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="simple">
+<dt>Returns</dt><dd><p>returns a figure object if show_plot is false</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.plot_functions.plot_masses">
+<code class="sig-prename descclassname">binarycpython.utils.plot_functions.</code><code class="sig-name descname">plot_masses</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">df</span></em>, <em class="sig-param"><span class="n">show_stellar_types</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">show_plot</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/plot_functions.html#plot_masses"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.plot_functions.plot_masses" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to plot the masses of the system.</p>
+<dl class="simple">
+<dt>Function requires the following keys:</dt><dd><ul class="simple">
+<li><p>time</p></li>
+<li><p>pms_mass_1</p></li>
+<li><p>pms_mass_2</p></li>
+<li><p>mass_1</p></li>
+<li><p>mass_2</p></li>
+</ul>
+</dd>
+<dt>Plots the following quantities:</dt><dd><ul class="simple">
+<li><p>Total mass</p></li>
+<li><p>Mass star 1</p></li>
+<li><p>Mass star 2</p></li>
+<li><p>Pms mass 1</p></li>
+<li><p>pms mass 2</p></li>
+<li><p>pms total mass</p></li>
+<li><p>(maybe?) core and env masses</p></li>
+</ul>
+</dd>
+</dl>
+<p>TODO: fix stellar_types plot</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df</strong> – pandas dataframe with the required columns</p></li>
+<li><p><strong>show_stellar_types</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to color code the tracks and show the stellar types</p></li>
+<li><p><strong>show_plot</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to actually show the plot. If false: returns the figure object</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="simple">
+<dt>Returns</dt><dd><p>returns a figure object if show_plot is false</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.plot_functions.plot_orbit">
+<code class="sig-prename descclassname">binarycpython.utils.plot_functions.</code><code class="sig-name descname">plot_orbit</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">df</span></em>, <em class="sig-param"><span class="n">show_stellar_types</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">show_plot</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/plot_functions.html#plot_orbit"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.plot_functions.plot_orbit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to plot the orbital elements of the system</p>
+<dl class="simple">
+<dt>Plots the following quantities:</dt><dd><ul class="simple">
+<li><p>Orbital period</p></li>
+<li><p>Separation</p></li>
+<li><p>eccentricity</p></li>
+</ul>
+</dd>
+</dl>
+<p>TODO: fix stellar_types plot</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df</strong> – pandas dataframe with the required columns</p></li>
+<li><p><strong>show_stellar_types</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to color code the tracks and show the stellar types</p></li>
+<li><p><strong>show_plot</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">bool</span></code>) – whether to actually show the plot. If false: returns the figure object</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="simple">
+<dt>Returns</dt><dd><p>returns a figure object if show_plot is false</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.plot_functions.plot_system">
+<code class="sig-prename descclassname">binarycpython.utils.plot_functions.</code><code class="sig-name descname">plot_system</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">plot_type</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/plot_functions.html#plot_system"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.plot_functions.plot_system" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to plot the different quantities of a system.</p>
+<dl class="simple">
+<dt>This goes (in general) via the following steps:</dt><dd><ul class="simple">
+<li><p>a preset custom logging for a specific plotting routine is loaded, depending on the choice of plot_type</p></li>
+<li><p>This is used for the run_system call</p></li>
+<li><dl class="simple">
+<dt>The output of this run_system is loaded into a dataframe by</dt><dd><p>parsing it with a corresponding parsing function</p>
+</dd>
+</dl>
+</li>
+<li><p>The dataframe is passed to the plotting routine</p></li>
+<li><p>plot is shown or returned.</p></li>
+</ul>
+</dd>
+<dt>There are several pre-set plots to choose from:</dt><dd><ul class="simple">
+<li><p>mass_evolution</p></li>
+<li><p>orbit_evolution</p></li>
+<li><p>hr_diagram</p></li>
+</ul>
+</dd>
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: Complex Function!</p></li>
+<li><p>TODO: make sure this way of passing args works correctly.</p></li>
+<li><p>TODO: make the plotting specific keywords available via the inspect stuff</p></li>
+</ul>
+</dd>
+</dl>
+<p>All keywords are considered kwargs, except for plot_type</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>plot_type</strong> – string input should be one of [‘mass_evolution’, ‘orbit_evolution’, ‘hr_diagram’].
+Input will be matched against this, and then go through a dictionary to pick the correct plotting function.</p></li>
+<li><p><strong>show_plot</strong> – boolean whether to show the plot. If False it returns the figure object
+(makes so that you can customize it)</p></li>
+<li><p><strong>show_stellar_types</strong> – whether to plot the stellar type evolution on a second pane.
+This is not included in all the plotting routines.</p></li>
+<li><p><strong>input</strong> (<em>Other</em>) – other kwargs that are passed to run_system
+(inspect the docstring of run_system for more info)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>returns a object figure if show_plot = false</p>
+</dd>
+</dl>
+</dd></dl>
+
+</div>
+
+
+ </div>
+
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+
+ <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
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+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+<li class="toctree-l2"><a class="reference internal" href="general_examples.html">Examples</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">Example of population script</a></li>
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+
+ <div class="section" id="example-of-population-script">
+<h1>Example of population script<a class="headerlink" href="#example-of-population-script" title="Permalink to this headline">¶</a></h1>
+<p>The source code of a script to run a population of stars.</p>
+<div class="highlight-python notranslate"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre> 1
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+202</pre></div></td><td class="code"><div class="highlight"><pre><span></span>
+
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.grid</span> <span class="kn">import</span> <span class="n">Population</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.functions</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">get_help_all</span><span class="p">,</span>
+ <span class="n">get_help</span><span class="p">,</span>
+ <span class="n">create_hdf5</span><span class="p">,</span>
+ <span class="n">output_lines</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">binarycpython.utils.custom_logging_functions</span> <span class="kn">import</span> <span class="n">temp_dir</span>
+
+<span class="c1">#########################################################</span>
+<span class="c1"># This file serves as an example for running a population.</span>
+<span class="c1"># The use of help(<function>) is a good way to inspect what parameters are there to use</span>
+<span class="c1">#########################################################</span>
+
+
+<span class="k">def</span> <span class="nf">parse_function</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">output</span><span class="p">):</span>
+ <span class="c1"># EXAMPLE PARSE_FUNCTION</span>
+
+ <span class="c1"># extract info from the population instance</span>
+
+ <span class="c1"># Get some information from the</span>
+ <span class="n">data_dir</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="s2">"data_dir"</span><span class="p">]</span>
+ <span class="n">base_filename</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="s2">"base_filename"</span><span class="p">]</span>
+
+ <span class="c1"># Check directory, make if necessary</span>
+ <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">data_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+ <span class="n">seperator</span> <span class="o">=</span> <span class="s2">" "</span>
+
+ <span class="c1"># Create filename</span>
+ <span class="n">outfilename</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_dir</span><span class="p">,</span> <span class="n">base_filename</span><span class="p">)</span>
+
+ <span class="n">parameters</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"time"</span><span class="p">,</span> <span class="s2">"mass"</span><span class="p">,</span> <span class="s2">"zams_mass"</span><span class="p">,</span> <span class="s2">"probability"</span><span class="p">,</span> <span class="s2">"radius"</span><span class="p">,</span> <span class="s2">"stellar_type"</span><span class="p">]</span>
+
+ <span class="c1"># Go over the output.</span>
+ <span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">output_lines</span><span class="p">(</span><span class="n">output</span><span class="p">):</span>
+ <span class="n">headerline</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="c1"># CHeck the header and act accordingly</span>
+ <span class="k">if</span> <span class="n">headerline</span> <span class="o">==</span> <span class="s2">"MY_STELLAR_DATA"</span><span class="p">:</span>
+ <span class="n">values</span> <span class="o">=</span> <span class="n">el</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">1</span><span class="p">:]</span>
+ <span class="nb">print</span><span class="p">(</span><span class="n">values</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">len</span><span class="p">(</span><span class="n">parameters</span><span class="p">)</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">values</span><span class="p">):</span>
+ <span class="nb">print</span><span class="p">(</span><span class="s2">"Amount of column names isnt equal to amount of columns"</span><span class="p">)</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">outfilename</span><span class="p">):</span>
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">outfilename</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">seperator</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">parameters</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+
+ <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">outfilename</span><span class="p">,</span> <span class="s2">"a"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+ <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">seperator</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">values</span><span class="p">)</span> <span class="o">+</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+
+
+<span class="c1"># Create population object</span>
+<span class="n">example_pop</span> <span class="o">=</span> <span class="n">Population</span><span class="p">()</span>
+
+<span class="c1"># If you want verbosity, set this before other things</span>
+<span class="n">example_pop</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">verbose</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+<span class="c1"># Setting values can be done via .set(<parameter_name>=<value>)</span>
+<span class="c1"># Values that are known to be binary_c_parameters are loaded into bse_options.</span>
+<span class="c1"># Those that are present in the default grid_options are set in grid_options</span>
+<span class="c1"># All other values that you set are put in a custom_options dict</span>
+<span class="n">example_pop</span><span class="o">.</span><span class="n">set</span><span class="p">(</span>
+ <span class="c1"># binary_c physics options</span>
+ <span class="n">M_1</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="c1"># bse_options</span>
+ <span class="n">separation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="c1"># bse_options</span>
+ <span class="n">orbital_period</span><span class="o">=</span><span class="mi">45000000080</span><span class="p">,</span> <span class="c1"># bse_options</span>
+ <span class="n">max_evolution_time</span><span class="o">=</span><span class="mi">15000</span><span class="p">,</span> <span class="c1"># bse_options</span>
+ <span class="n">eccentricity</span><span class="o">=</span><span class="mf">0.02</span><span class="p">,</span> <span class="c1"># bse_options</span>
+ <span class="c1"># Set companion to low mass</span>
+ <span class="n">M_2</span><span class="o">=</span><span class="mf">0.08</span><span class="p">,</span> <span class="c1"># Since in the example we run a single system, we should set the companion mass here. If we donm't do this, the code will complain.</span>
+ <span class="c1"># grid_options</span>
+ <span class="n">amt_cores</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="c1"># grid_options</span>
+ <span class="n">verbose</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># verbosity. Not fully configured correctly yet but having it value of 1 prints alot of stuff</span>
+ <span class="c1"># Custom options # TODO: need to be set in grid_options probably</span>
+ <span class="n">data_dir</span><span class="o">=</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+ <span class="n">temp_dir</span><span class="p">(),</span> <span class="s2">"example_python_population_result"</span>
+ <span class="p">),</span> <span class="c1"># custom_options</span>
+ <span class="n">base_filename</span><span class="o">=</span><span class="s2">"example_pop.dat"</span><span class="p">,</span> <span class="c1"># custom_options</span>
+<span class="p">)</span>
+
+<span class="c1"># Creating a parsing function</span>
+<span class="n">example_pop</span><span class="o">.</span><span class="n">set</span><span class="p">(</span>
+ <span class="n">parse_function</span><span class="o">=</span><span class="n">parse_function</span><span class="p">,</span> <span class="c1"># Setting the parse function thats used in the evolve_population</span>
+<span class="p">)</span>
+
+<span class="c1">### Custom logging</span>
+
+<span class="c1">## Below example requires changing the parse function</span>
+<span class="c1">## very simple example of custom logging. Will work but need to change the parse function to handle that nicely.</span>
+<span class="c1"># example_pop.set(</span>
+<span class="c1"># C_auto_logging={</span>
+<span class="c1"># "MY_HEADER_LINE": ["star[0].mass", "star[1].mass", "model.probability"]</span>
+<span class="c1"># }</span>
+<span class="c1"># )</span>
+
+
+<span class="c1"># Log the moment when the star turns into neutron</span>
+<span class="n">example_pop</span><span class="o">.</span><span class="n">set</span><span class="p">(</span>
+ <span class="n">C_logging_code</span><span class="o">=</span><span class="s2">"""</span>
+<span class="s2">if(stardata->star[0].stellar_type >= 13) </span>
+<span class="s2">{</span>
+<span class="s2"> if (stardata->model.time < stardata->model.max_evolution_time)</span>
+<span class="s2"> {</span>
+<span class="s2"> Printf("MY_STELLAR_DATA </span><span class="si">%30.12e</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%g</span><span class="s2"> </span><span class="si">%d</span><span class="se">\\</span><span class="s2">n",</span>
+<span class="s2"> // </span>
+<span class="s2"> stardata->model.time, // 1</span>
+<span class="s2"> stardata->star[0].mass, // 2</span>
+<span class="s2"> stardata->common.zero_age.mass[0], // 4</span>
+<span class="s2"> stardata->model.probability, // 5</span>
+<span class="s2"> stardata->star[0].radius, // 6</span>
+<span class="s2"> stardata->star[0].stellar_type // 7</span>
+<span class="s2"> );</span>
+<span class="s2"> };</span>
+<span class="s2"> /* Kill the simulation to save time */</span>
+<span class="s2"> stardata->model.max_evolution_time = stardata->model.time - stardata->model.dtm;</span>
+<span class="s2">};</span>
+<span class="s2">"""</span>
+<span class="p">)</span>
+
+<span class="c1"># Add grid variables</span>
+<span class="n">resolution</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"M_1"</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span> <span class="s2">"q"</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span> <span class="s2">"per"</span><span class="p">:</span> <span class="mi">40</span><span class="p">}</span>
+
+<span class="c1"># Mass</span>
+<span class="n">example_pop</span><span class="o">.</span><span class="n">add_grid_variable</span><span class="p">(</span>
+ <span class="n">name</span><span class="o">=</span><span class="s2">"lnm1"</span><span class="p">,</span>
+ <span class="n">longname</span><span class="o">=</span><span class="s2">"Primary mass"</span><span class="p">,</span>
+ <span class="n">valuerange</span><span class="o">=</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">150</span><span class="p">],</span>
+ <span class="n">resolution</span><span class="o">=</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">resolution</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]),</span>
+ <span class="n">spacingfunc</span><span class="o">=</span><span class="s2">"const(math.log(2), math.log(150), </span><span class="si">{}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">resolution</span><span class="p">[</span><span class="s2">"M_1"</span><span class="p">]),</span>
+ <span class="n">precode</span><span class="o">=</span><span class="s2">"M_1=math.exp(lnm1)"</span><span class="p">,</span>
+ <span class="n">probdist</span><span class="o">=</span><span class="s2">"three_part_powerlaw(M_1, 0.1, 0.5, 1.0, 150, -1.3, -2.3, -2.3)*M_1"</span><span class="p">,</span>
+ <span class="n">dphasevol</span><span class="o">=</span><span class="s2">"dlnm1"</span><span class="p">,</span>
+ <span class="n">parameter_name</span><span class="o">=</span><span class="s2">"M_1"</span><span class="p">,</span>
+ <span class="n">condition</span><span class="o">=</span><span class="s2">""</span><span class="p">,</span> <span class="c1"># Impose a condition on this grid variable. Mostly for a check for yourself</span>
+<span class="p">)</span>
+
+<span class="c1"># # Mass ratio</span>
+<span class="c1"># test_pop.add_grid_variable(</span>
+<span class="c1"># name="q",</span>
+<span class="c1"># longname="Mass ratio",</span>
+<span class="c1"># valuerange=["0.1/M_1", 1],</span>
+<span class="c1"># resolution="{}".format(resolution['q']),</span>
+<span class="c1"># spacingfunc="const(0.1/M_1, 1, {})".format(resolution['q']),</span>
+<span class="c1"># probdist="flatsections(q, [{'min': 0.1/M_1, 'max': 1.0, 'height': 1}])",</span>
+<span class="c1"># dphasevol="dq",</span>
+<span class="c1"># precode="M_2 = q * M_1",</span>
+<span class="c1"># parameter_name="M_2",</span>
+<span class="c1"># condition="", # Impose a condition on this grid variable. Mostly for a check for yourself</span>
+<span class="c1"># )</span>
+
+<span class="c1"># #</span>
+<span class="c1"># test_pop.add_grid_variable(</span>
+<span class="c1"># name="log10per", # in days</span>
+<span class="c1"># longname="log10(Orbital_Period)",</span>
+<span class="c1"># valuerange=[0.15, 5.5],</span>
+<span class="c1"># resolution="{}".format(resolution["per"]),</span>
+<span class="c1"># spacingfunc="const(0.15, 5.5, {})".format(resolution["per"]),</span>
+<span class="c1"># precode="""orbital_period = 10** log10per</span>
+<span class="c1"># sep = calc_sep_from_period(M_1, M_2, orbital_period)</span>
+<span class="c1"># sep_min = calc_sep_from_period(M_1, M_2, 10**0.15)</span>
+<span class="c1"># sep_max = calc_sep_from_period(M_1, M_2, 10**5.5)""",</span>
+<span class="c1"># probdist="sana12(M_1, M_2, sep, orbital_period, sep_min, sep_max, math.log10(10**0.15), math.log10(10**5.5), -0.55)",</span>
+<span class="c1"># parameter_name="orbital_period",</span>
+<span class="c1"># dphasevol="dlog10per",</span>
+<span class="c1"># )</span>
+
+
+<span class="c1"># Exporting of all the settings can be done with .export_all_info()</span>
+<span class="c1"># on default it exports everything, but can be supressed by turning it off:</span>
+<span class="c1"># population settings (bse_options, grid_options, custom_options), turn off with include_population</span>
+<span class="c1"># settings=False</span>
+<span class="c1"># binary_c_defaults (all the commandline arguments that binary c accepts, and their defaults).</span>
+<span class="c1"># turn off with include_binary_c_defaults=False</span>
+<span class="c1"># include_binary_c_version_info (all the compilation info, and information about the compiled</span>
+<span class="c1"># parameters), turn off with include_binary_c_version_info=False</span>
+<span class="c1"># include_binary_c_help_all (all the help information for all the binary_c parameters),</span>
+<span class="c1"># turn off with include_binary_c_help_all=Fase</span>
+<span class="c1"># On default it will write this to the custom_options['data_dir'], but that can be overriden by</span>
+<span class="c1"># setting use_datadir=False and providing an outfile=<></span>
+<span class="n">example_pop</span><span class="o">.</span><span class="n">export_all_info</span><span class="p">()</span>
+
+<span class="c1">## Executing a single system</span>
+<span class="c1">## This uses the M_1 orbital period etc set with the set function</span>
+<span class="c1"># output = example_pop.evolve_single()</span>
+<span class="c1"># print(output)</span>
+
+<span class="c1">## Executing a population</span>
+<span class="c1">## This uses the values generated by the grid_variables</span>
+<span class="n">example_pop</span><span class="o">.</span><span class="n">evolve</span><span class="p">()</span> <span class="c1"># TODO: update this function call</span>
+
+<span class="c1"># Wrapping up the results to an hdf5 file can be done by using the create_hdf5</span>
+<span class="c1"># (<directory containing data and settings>) This function takes the settings file</span>
+<span class="c1"># (ending in _settings.json) and the data files (ending in .dat) from the data_dir</span>
+<span class="c1"># and packing them into an hdf5 file, which is then written into the same data_dir directory</span>
+<span class="n">create_hdf5</span><span class="p">(</span><span class="n">data_dir</span><span class="o">=</span><span class="n">example_pop</span><span class="o">.</span><span class="n">custom_options</span><span class="p">[</span><span class="s2">"data_dir"</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s2">"example_pop.hdf5"</span><span class="p">)</span>
+</pre></div>
+</td></tr></table></div>
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+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+<li class="toctree-l1"><a class="reference internal" href="modules.html">Binarycpython code</a></li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a></li>
+<li class="toctree-l1"><a class="reference internal" href="binary_c_parameters.html">Binary_c parameters</a></li>
+<li class="toctree-l1"><a class="reference internal" href="grid_options_descriptions.html">Population grid code options</a></li>
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+ <h1>Python Module Index</h1>
+
+ <div class="modindex-jumpbox">
+ <a href="#cap-b"><strong>b</strong></a>
+ </div>
+
+ <table class="indextable modindextable">
+ <tr class="pcap"><td></td><td> </td><td></td></tr>
+ <tr class="cap" id="cap-b"><td></td><td>
+ <strong>b</strong></td><td></td></tr>
+ <tr>
+ <td><img src="_static/minus.png" class="toggler"
+ id="toggle-1" style="display: none" alt="-" /></td>
+ <td>
+ <code class="xref">binarycpython</code></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="custom_logging_functions.html#module-binarycpython.utils.custom_logging_functions"><code class="xref">binarycpython.utils.custom_logging_functions</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="distribution_functions.html#module-binarycpython.utils.distribution_functions"><code class="xref">binarycpython.utils.distribution_functions</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="functions.html#module-binarycpython.utils.functions"><code class="xref">binarycpython.utils.functions</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="grid.html#module-binarycpython.utils.grid"><code class="xref">binarycpython.utils.grid</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="grid_options_defaults.html#module-binarycpython.utils.grid_options_defaults"><code class="xref">binarycpython.utils.grid_options_defaults</code></a></td><td>
+ <em></em></td></tr>
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+ <td></td>
+ <td>   
+ <a href="hpc_functions.html#module-binarycpython.utils.hpc_functions"><code class="xref">binarycpython.utils.hpc_functions</code></a></td><td>
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+ <a href="plot_functions.html#module-binarycpython.utils.plot_functions"><code class="xref">binarycpython.utils.plot_functions</code></a></td><td>
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+ <td>   
+ <a href="run_system_wrapper.html#module-binarycpython.utils.run_system_wrapper"><code class="xref">binarycpython.utils.run_system_wrapper</code></a></td><td>
+ <em></em></td></tr>
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+ <td>   
+ <a href="spacing_functions.html#module-binarycpython.utils.spacing_functions"><code class="xref">binarycpython.utils.spacing_functions</code></a></td><td>
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+ <td>   
+ <a href="stellar_types.html#module-binarycpython.utils.stellar_types"><code class="xref">binarycpython.utils.stellar_types</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="useful_funcs.html#module-binarycpython.utils.useful_funcs"><code class="xref">binarycpython.utils.useful_funcs</code></a></td><td>
+ <em></em></td></tr>
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+
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+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
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+
+ <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
+
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+<li class="toctree-l1 current"><a class="current reference internal" href="#">Python module for binary_c</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#requirements">Requirements</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#environment-variables">Environment variables</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#build-instructions">Build instructions</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#installation-via-pip">Installation via PIP:</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#installation-from-source">Installation from source:</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="#examples">Examples</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#usage-notes">Usage notes</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#documentation">Documentation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#faq-issues">FAQ/Issues:</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="modules.html">Binarycpython code</a></li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Examples</a></li>
+<li class="toctree-l1"><a class="reference internal" href="binary_c_parameters.html">Binary_c parameters</a></li>
+<li class="toctree-l1"><a class="reference internal" href="grid_options_descriptions.html">Population grid code options</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python">Visit the GitLab repo</a></li>
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+ <div itemprop="articleBody">
+
+ <div class="section" id="python-module-for-binary-c">
+<h1>Python module for binary_c<a class="headerlink" href="#python-module-for-binary-c" title="Permalink to this headline">¶</a></h1>
+<p>Coverage:
+.. image:: ./badges/coverage.svg</p>
+<blockquote>
+<div><dl class="field-list simple">
+<dt class="field-odd">target</dt>
+<dd class="field-odd"><p>./badges/coverage.svg</p>
+</dd>
+<dt class="field-even">alt</dt>
+<dd class="field-even"><p>test coverage</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>Binary population synthesis code that interfaces with binary_c. Based on a original work by Jeff Andrews (can be found in old_solution/ directory). Updated and extended for Python3 by David Hendriks, Robert Izzard</p>
+<div class="section" id="requirements">
+<h2>Requirements<a class="headerlink" href="#requirements" title="Permalink to this headline">¶</a></h2>
+<p>To run this code you need to at least have installations of:</p>
+<ul class="simple">
+<li><p>Python 3.6 or higher</p></li>
+<li><p>binary_c version 2.1.7 or higher</p></li>
+</ul>
+<p>And the following python packages (which will get installed automatically when installing with pip):</p>
+<ul class="simple">
+<li><p>numpy</p></li>
+<li><p>pytest</p></li>
+<li><p>h5py</p></li>
+<li><p>pathos</p></li>
+<li><p>pandas</p></li>
+<li><p>astropy</p></li>
+<li><p>matplotlib</p></li>
+<li><p>py_rinterpolate</p></li>
+</ul>
+</div>
+<div class="section" id="environment-variables">
+<h2>Environment variables<a class="headerlink" href="#environment-variables" title="Permalink to this headline">¶</a></h2>
+<p>Before compilation you need to have certain environment variables:</p>
+<p>Required:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">BINARY_C</span></code> should point to the root directory of your binary_c installation</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">LD_LIBRARY_PATH</span></code> should include $BINARY_C/src and whatever directories are required to run binary_c (e.g. locations of libgsl, libmemoize, librinterpolate, etc.)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">LIBRARY_PATH</span></code> should include whatever directories are required to build binary_c (e.g. locations of libgsl, libmemoize, librinterpolate, etc.)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">GSL_DIR</span></code> should point to the root location where you installed GSL to. This root dir should contain <code class="docutils literal notranslate"><span class="pre">bin/</span></code>, <code class="docutils literal notranslate"><span class="pre">lib/</span></code> etc</p></li>
+</ul>
+</div>
+<div class="section" id="build-instructions">
+<h2>Build instructions<a class="headerlink" href="#build-instructions" title="Permalink to this headline">¶</a></h2>
+<p>First, make sure you have built binary_c (See <code class="docutils literal notranslate"><span class="pre">$BINARY_C/doc/binary_c2.pdf</span></code> section: installation for all the installation instructions for <code class="docutils literal notranslate"><span class="pre">binary_c</span></code>)) and that it functions correctly.</p>
+<div class="section" id="installation-via-pip">
+<h3>Installation via PIP:<a class="headerlink" href="#installation-via-pip" title="Permalink to this headline">¶</a></h3>
+<p>To install this package via pip:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">pip</span> <span class="n">install</span> <span class="n">binarycpython</span>
+</pre></div>
+</div>
+</div>
+<div class="section" id="installation-from-source">
+<h3>Installation from source:<a class="headerlink" href="#installation-from-source" title="Permalink to this headline">¶</a></h3>
+<p>For this it is best to set up a virtual environment. Activate the virtualenvironment and enter the cloned version of the repo.</p>
+<p>Then run:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">clean</span> <span class="o">&&</span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">build</span> <span class="o">--</span><span class="n">force</span> <span class="o">&&</span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">sdist</span> <span class="o">&&</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">-</span><span class="n">v</span> <span class="n">dist</span><span class="o">/</span><span class="n">binarycpython</span><span class="o">-<</span><span class="n">version</span> <span class="n">of</span> <span class="n">this</span> <span class="n">package</span><span class="o">>.</span><span class="n">tar</span><span class="o">.</span><span class="n">gz</span>
+</pre></div>
+</div>
+<p>You can find the version of this package in setup.py.</p>
+<p>This will install this package into the virtual environment. Making changes to the sourcecode can be “installed†into the virtual env with the same command.</p>
+<p>If this is not the first time you install the package, but rather rebuild it because you make changes in either binary_c or binarycpython, you should ignore the currently installed version, and also skip installing the dependencies again, by executing the following command:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">clean</span> <span class="o">&&</span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">build</span> <span class="o">--</span><span class="n">force</span> <span class="o">&&</span> <span class="n">python</span> <span class="n">setup</span><span class="o">.</span><span class="n">py</span> <span class="n">sdist</span> <span class="o">&&</span> <span class="n">pip</span> <span class="n">install</span> <span class="o">--</span><span class="n">ignore</span><span class="o">-</span><span class="n">installed</span> <span class="o">--</span><span class="n">no</span><span class="o">-</span><span class="n">dependencies</span> <span class="o">-</span><span class="n">v</span> <span class="n">dist</span><span class="o">/</span><span class="n">binarycpython</span><span class="o">-<</span><span class="n">version</span> <span class="n">of</span> <span class="n">this</span> <span class="n">package</span><span class="o">>.</span><span class="n">tar</span><span class="o">.</span><span class="n">gz</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="section" id="examples">
+<h2>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h2>
+<p>See the examples/ directory for example scripts and notebooks. The documentation contains example pages as well.</p>
+</div>
+<div class="section" id="usage-notes">
+<h2>Usage notes<a class="headerlink" href="#usage-notes" title="Permalink to this headline">¶</a></h2>
+<p>Make sure that with every change/recompilation you make in <code class="docutils literal notranslate"><span class="pre">binary_c</span></code>, you also rebuild this package. Whenever you change the sourcecode of this package, you need to reinstall it into your virtualenvironment as well</p>
+</div>
+<div class="section" id="documentation">
+<h2>Documentation<a class="headerlink" href="#documentation" title="Permalink to this headline">¶</a></h2>
+<p>Look in the docs/ directory. Within the build/html/ there is the html version of the documentation. The</p>
+</div>
+<div class="section" id="faq-issues">
+<h2>FAQ/Issues:<a class="headerlink" href="#faq-issues" title="Permalink to this headline">¶</a></h2>
+<p>Building issues with binary_c itself:</p>
+<ul class="simple">
+<li><p>see the documentation of binary_c (in doc/).</p></li>
+<li><p>If you have MESA installed, make sure that the <code class="docutils literal notranslate"><span class="pre">$MESASDK_ROOT/bin/mesasdk_init.sh</span></code> is not sourced. It comes with its own version of some programs, and those can interfere with installing.</p></li>
+</ul>
+<p>When Pip install fails:</p>
+<ul class="simple">
+<li><p>Run the installation with <code class="docutils literal notranslate"><span class="pre">-v</span></code> and/or <code class="docutils literal notranslate"><span class="pre">--log</span> <span class="pre"><logfile></span></code> to get some more info</p></li>
+<li><p>If gcc throws errors like <code class="docutils literal notranslate"><span class="pre">gcc:</span> <span class="pre">error:</span> <span class="pre">unrecognized</span> <span class="pre">command</span> <span class="pre">line</span> <span class="pre">option</span> <span class="pre">‘-ftz’;</span> <span class="pre">did</span> <span class="pre">you</span> <span class="pre">mean</span> <span class="pre">‘-flto’?</span></code>, this might be due to that the python on that system was built with a different compiler. It then passes the python3.6-config –cflags to the binarycpython installation, which, if done with gcc, will not work. Try a different python3.6. I suggest using <code class="docutils literal notranslate"><span class="pre">pyenv</span></code> to manage python versions. If installing a version of python with pyenv is not possible, then try to use a python version that is avaible to the machine that is built with the same compiler as binary_c was built with.</p></li>
+<li><p>if pip installation results in <code class="docutils literal notranslate"><span class="pre">No</span> <span class="pre">files/directories</span> <span class="pre">in</span> <span class="pre">/tmp/pip-1ckzg0p9-build/pip-egg-info</span> <span class="pre">(from</span> <span class="pre">PKG-INFO)</span></code>, try running it verbose (<code class="docutils literal notranslate"><span class="pre">-v</span></code>) to see what is actually going wrong.</p></li>
+<li><p>If pip terminates with the error FileNotFoundError: [Errno 2] No such file or directory: ‘<…>/binary_c-config’ Then make sure that the path to your main $BINARY_C directory is set correctly.</p></li>
+</ul>
+<p>Other:</p>
+<ul class="simple">
+<li><p>When running jupyter notebooks, make sure you are running the jupyter installation from the same virtual environment.</p></li>
+<li><p>When the output of binary_c seems to be different than expected, you might need to rebuild this python package. Everytime binary_c is compiled, this package needs to be rebuilt too.</p></li>
+</ul>
+</div>
+</div>
+
+
+ </div>
+
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+
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+
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+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+ <div class="section" id="module-binarycpython.utils.run_system_wrapper">
+<span id="run-system-wrapper-module"></span><h1>run_system_wrapper module<a class="headerlink" href="#module-binarycpython.utils.run_system_wrapper" title="Permalink to this headline">¶</a></h1>
+<p>Module containing the utility function run_system,
+which handles a lot of things by analysing the passed kwargs</p>
+<dl class="py function">
+<dt id="binarycpython.utils.run_system_wrapper.run_system">
+<code class="sig-prename descclassname">binarycpython.utils.run_system_wrapper.</code><code class="sig-name descname">run_system</code><span class="sig-paren">(</span><em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/run_system_wrapper.html#run_system"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.run_system_wrapper.run_system" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function that runs a system.
+Mostly as a useful utility function that handles all the setup of argument lists etc.</p>
+<p class="rubric">Examples</p>
+<ul class="simple">
+<li><p>run_system(M_1=10): will run a system with ZAMS mass 1 = 10</p></li>
+<li><dl class="simple">
+<dt>run_system(M_1=10, log_filename=â€~/example_log.txtâ€): Will run a system</dt><dd><p>and write the logfile too</p>
+</dd>
+</dl>
+</li>
+<li><p>run_system(M_1=10, parse_function=fancy_parsing_function)</p></li>
+</ul>
+<dl class="simple">
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: Expand functionality.</p></li>
+<li><p>TODO: Notify user when an unknown keyword is passed.</p></li>
+</ul>
+</dd>
+</dl>
+<p>All the arguments known to binary_c can be passed to this function as kwargs.
+Several extra arguments can be passed through the kwargs:</p>
+<dl class="simple">
+<dt>Kwargs:</dt><dd><dl class="simple">
+<dt>custom_logging_code: Should contain a string containing the c-code for the shared library.</dt><dd><p>If this is provided binary_c will use that custom logging code to output its data</p>
+</dd>
+<dt>log_filename: Should contain name of the binary_c system logfile.</dt><dd><p>Passing this will make sure that the filename gets written for a run
+(its default behaviour is NOT to write a logfile for a system)</p>
+</dd>
+<dt>parse_function (function): should contain a function that parses the output.</dt><dd><p>The parse function should take 1 required parameter: the output of the binaryc run
+Passing this will call the parse_function by passing it the output of the binary_c call
+and returns what the parse_function returns</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Either returns the raw output of binary_c, or the output of a parse_function if parse_function is given</p>
+</dd>
+</dl>
+</dd></dl>
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parameters","custom_logging_functions module","distribution_functions module","Examples","functions module","Examples","grid_class module","Grid options and descriptions","Population grid code options","hpc_functions module","Welcome to binary_c-python\u2019s documentation!","Binarycpython code","plot_functions module","Example of population script","Python module for binary_c","run_system_wrapper module","spacing_functions module","stellar_types module","useful_funcs module"],titleterms:{"function":4,"public":8,algorithm:0,binari:0,binary_c:[0,10,14],binarycpython:11,build:[10,14],code:[8,11],custom_logging_funct:1,descript:7,distefano:8,distribution_funct:2,document:[10,14],environ:[10,14],exampl:[3,5,10,13,14],faq:[10,14],from:[10,14],grid:[7,8],grid_class:6,hpc_function:9,indic:10,input:0,instal:[10,14],instruct:[10,14],issu:[10,14],misc:0,modul:[1,2,4,6,9,10,12,14,15,16,17,18],moe:8,note:[10,14],nucsyn:0,option:[7,8],output:0,paramet:0,pip:[10,14],plot_funct:12,popul:[8,13],privat:8,python:[10,14],requir:[10,14],run_system_wrapp:15,sampler:8,script:13,section:0,sourc:[10,14],spacing_funct:16,star:0,stellar_typ:17,tabl:10,usag:[10,14],useful_func:18,variabl:[10,14],via:[10,14],welcom:10}})
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+<li class="toctree-l1"><a class="reference internal" href="readme_link.html">Python module for binary_c</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="modules.html">Binarycpython code</a><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="custom_logging_functions.html">custom_logging_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="distribution_functions.html">distribution_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="functions.html">functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="grid.html">grid_class module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="grid_options_defaults.html">Grid options and descriptions</a></li>
+<li class="toctree-l2"><a class="reference internal" href="hpc_functions.html">hpc_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="plot_functions.html">plot_functions module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="run_system_wrapper.html">run_system_wrapper module</a></li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">spacing_functions module</a></li>
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+ <div class="section" id="module-binarycpython.utils.spacing_functions">
+<span id="spacing-functions-module"></span><h1>spacing_functions module<a class="headerlink" href="#module-binarycpython.utils.spacing_functions" title="Permalink to this headline">¶</a></h1>
+<p>Module containing the spacing functions for the binarycpython package. Very under-populated at the moment, but more are likely to come soon</p>
+<dl class="simple">
+<dt>Tasks:</dt><dd><p>TODO: add more spacing functions to this module.</p>
+</dd>
+</dl>
+<dl class="py function">
+<dt id="binarycpython.utils.spacing_functions.const">
+<code class="sig-prename descclassname">binarycpython.utils.spacing_functions.</code><code class="sig-name descname">const</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">min_bound</span></em>, <em class="sig-param"><span class="n">max_bound</span></em>, <em class="sig-param"><span class="n">steps</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/spacing_functions.html#const"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.spacing_functions.const" title="Permalink to this definition">¶</a></dt>
+<dd><p>Samples a range linearly. Uses numpy linspace.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>min_bound</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – lower bound of range</p></li>
+<li><p><strong>max_bound</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – upper bound of range</p></li>
+<li><p><strong>steps</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>) – amount of segments between min_bound and max_bound</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-class docutils literal notranslate"><span class="pre">list</span></code></p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>np.linspace(min_bound, max_bound, steps)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</div>
+
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+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+ <div class="section" id="module-binarycpython.utils.stellar_types">
+<span id="stellar-types-module"></span><h1>stellar_types module<a class="headerlink" href="#module-binarycpython.utils.stellar_types" title="Permalink to this headline">¶</a></h1>
+<dl class="simple">
+<dt>Module containing two stellar type dicts:</dt><dd><ul class="simple">
+<li><p>STELLAR_TYPE_DICT: dictionary with long names</p></li>
+<li><p>STELLAR_TYPE_DICT_SHORT: dictionary with short names/abbreviations</p></li>
+</ul>
+</dd>
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+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
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+
+ <div class="section" id="module-binarycpython.utils.useful_funcs">
+<span id="useful-funcs-module"></span><h1>useful_funcs module<a class="headerlink" href="#module-binarycpython.utils.useful_funcs" title="Permalink to this headline">¶</a></h1>
+<p>Collection of useful functions.</p>
+<p>Part of this is copied/inspired by Rob’s binary_stars module</p>
+<dl class="simple">
+<dt>Functions:</dt><dd><ul class="simple">
+<li><p>calc_period_from_sep(m1, m2, sep) calculate the period given the separation.</p></li>
+<li><p>calc_sep_from_period(m1, m2, per) does the inverse.</p></li>
+<li><p>rzams(m, z) gives you the ZAMS radius of a star</p></li>
+<li><p>ZAMS_collision(m1, m2, e, sep, z) returns 1 if stars collide on the ZAMS</p></li>
+<li><p>roche_lobe(q): returns roche lobe radius in units of separation</p></li>
+<li><p>ragb(m, z): radius at first thermal pulse</p></li>
+</ul>
+</dd>
+<dt>Tasks:</dt><dd><ul class="simple">
+<li><p>TODO: check whether these functions are correct</p></li>
+<li><p>TODO: add unittest for maximum_mass_ratio_for_RLOF</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py function">
+<dt id="binarycpython.utils.useful_funcs.calc_period_from_sep">
+<code class="sig-prename descclassname">binarycpython.utils.useful_funcs.</code><code class="sig-name descname">calc_period_from_sep</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">M1</span></em>, <em class="sig-param"><span class="n">M2</span></em>, <em class="sig-param"><span class="n">sep</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/useful_funcs.html#calc_period_from_sep"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.useful_funcs.calc_period_from_sep" title="Permalink to this definition">¶</a></dt>
+<dd><p>calculate period from separation</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>M1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Primary mass in solar mass</p></li>
+<li><p><strong>M2</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Secondary mass in solar mass</p></li>
+<li><p><strong>sep</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Separation in solar radii</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>period in days</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.useful_funcs.calc_sep_from_period">
+<code class="sig-prename descclassname">binarycpython.utils.useful_funcs.</code><code class="sig-name descname">calc_sep_from_period</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">M1</span></em>, <em class="sig-param"><span class="n">M2</span></em>, <em class="sig-param"><span class="n">period</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/useful_funcs.html#calc_sep_from_period"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.useful_funcs.calc_sep_from_period" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate separation from period.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>M1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Primary mass in solar mass</p></li>
+<li><p><strong>M2</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Secondary mass in solar mass</p></li>
+<li><p><strong>period</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Period of binary in days</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Separation in solar radii</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.useful_funcs.maximum_mass_ratio_for_RLOF">
+<code class="sig-prename descclassname">binarycpython.utils.useful_funcs.</code><code class="sig-name descname">maximum_mass_ratio_for_RLOF</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">M1</span></em>, <em class="sig-param"><span class="n">orbital_period</span></em>, <em class="sig-param"><span class="n">metallicity</span><span class="o">=</span><span class="default_value">0.02</span></em>, <em class="sig-param"><span class="n">store_memaddr</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/useful_funcs.html#maximum_mass_ratio_for_RLOF"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.useful_funcs.maximum_mass_ratio_for_RLOF" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper function for _binary_c_bindings.return_maximum_mass_ratio_for_RLOF</p>
+<p>Handles the output and returns the maximum mass ratio at which RLOF just does not occur at ZAMS</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>M1</strong> – Primary mass in solar mass</p></li>
+<li><p><strong>orbital_period</strong> – orbital period in days</p></li>
+<li><p><strong>metallicity</strong> – metallicity</p></li>
+<li><p><strong>store_memaddr</strong> (<em>optional</em>) – store memory adress</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>maximum mass ratio that just does not cause a RLOF at ZAMS</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.useful_funcs.minimum_period_for_RLOF">
+<code class="sig-prename descclassname">binarycpython.utils.useful_funcs.</code><code class="sig-name descname">minimum_period_for_RLOF</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">M1</span></em>, <em class="sig-param"><span class="n">M2</span></em>, <em class="sig-param"><span class="n">metallicity</span></em>, <em class="sig-param"><span class="n">store_memaddr</span><span class="o">=</span><span class="default_value">- 1</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/useful_funcs.html#minimum_period_for_RLOF"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.useful_funcs.minimum_period_for_RLOF" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper function for _binary_c_bindings.return_minimum_orbit_for_RLOF</p>
+<p>Handles the output and returns the minimum orbital period at which RLOF just does not occur at zams</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>M1</strong> – Primary mass in solar mass</p></li>
+<li><p><strong>M2</strong> – Secondary mass in solar mass</p></li>
+<li><p><strong>metallicity</strong> – metallicity</p></li>
+<li><p><strong>store_memaddr</strong> (<em>optional</em>) – store memory adress</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>minimum orbital_period that just does not cause a RLOF at ZAMS</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.useful_funcs.minimum_separation_for_RLOF">
+<code class="sig-prename descclassname">binarycpython.utils.useful_funcs.</code><code class="sig-name descname">minimum_separation_for_RLOF</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">M1</span></em>, <em class="sig-param"><span class="n">M2</span></em>, <em class="sig-param"><span class="n">metallicity</span></em>, <em class="sig-param"><span class="n">store_memaddr</span><span class="o">=</span><span class="default_value">- 1</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/useful_funcs.html#minimum_separation_for_RLOF"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.useful_funcs.minimum_separation_for_RLOF" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper function for _binary_c_bindings.return_minimum_orbit_for_RLOF</p>
+<p>Handles the output and returns the minimum separation at which RLOF just does not occur at ZAMS</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>M1</strong> – Primary mass in solar mass</p></li>
+<li><p><strong>M2</strong> – Secondary mass in solar mass</p></li>
+<li><p><strong>metallicity</strong> – metallicity</p></li>
+<li><p><strong>store_memaddr</strong> (<em>optional</em>) – store memory adress</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>minimum separation that just does not cause a RLOF at ZAMS</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.useful_funcs.ragb">
+<code class="sig-prename descclassname">binarycpython.utils.useful_funcs.</code><code class="sig-name descname">ragb</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em>, <em class="sig-param"><span class="n">z</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/useful_funcs.html#ragb"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.useful_funcs.ragb" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to calculate radius of a star in units of solar radii at first thermal pulse as a function of mass (Z=0.02 only, but also good for Z=0.0001)</p>
+<p>TODO: ask rob about this function</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass of star in units of solar mass</p></li>
+<li><p><strong>z</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – metallicity of star</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>radius at first thermal pulse in units of solar radii</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.useful_funcs.roche_lobe">
+<code class="sig-prename descclassname">binarycpython.utils.useful_funcs.</code><code class="sig-name descname">roche_lobe</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">q</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/useful_funcs.html#roche_lobe"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.useful_funcs.roche_lobe" title="Permalink to this definition">¶</a></dt>
+<dd><p>A function to evaluate R_L/a(q), Eggleton 1983.</p>
+<p># TODO: check the definition of the mass ratio
+# TODO: check whether the logs are correct</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>q</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – mass ratio of the binary (secondary/primary). If you input: q = mass_accretor/mass_donor, you will get the rochelobe radius of the accretor. And vice versa for the donor.</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Roche lobe radius in units of the separation</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.useful_funcs.rzams">
+<code class="sig-prename descclassname">binarycpython.utils.useful_funcs.</code><code class="sig-name descname">rzams</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m</span></em>, <em class="sig-param"><span class="n">z</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/useful_funcs.html#rzams"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.useful_funcs.rzams" title="Permalink to this definition">¶</a></dt>
+<dd><p>Function to determine the radius of a ZAMS star as a function of m and z:</p>
+<p>Based on the fits of Tout et al., 1996, MNRAS, 281, 257</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m</strong> – mass of star in solar mass</p></li>
+<li><p><strong>z</strong> – metallicity</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>radius of star at ZAMS, in solar radii</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py function">
+<dt id="binarycpython.utils.useful_funcs.zams_collision">
+<code class="sig-prename descclassname">binarycpython.utils.useful_funcs.</code><code class="sig-name descname">zams_collision</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">m1</span></em>, <em class="sig-param"><span class="n">m2</span></em>, <em class="sig-param"><span class="n">sep</span></em>, <em class="sig-param"><span class="n">e</span></em>, <em class="sig-param"><span class="n">z</span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/binarycpython/utils/useful_funcs.html#zams_collision"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#binarycpython.utils.useful_funcs.zams_collision" title="Permalink to this definition">¶</a></dt>
+<dd><p>given m1,m2, separation and eccentricity (and metallicity)
+determine if two stars collide on the ZAMS</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>m1</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Primary mass in solar mass</p></li>
+<li><p><strong>m2</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – Secondary mass in solar mass</p></li>
+<li><p><strong>sep</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – separation in solar radii</p></li>
+<li><p><strong>e</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – eccentricity</p></li>
+<li><p><strong>z</strong> (<code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]) – metallicity</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Union</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>integer boolean whether the binary stars will collide at pericenter</p>
+</dd>
+</dl>
+</dd></dl>
+
+</div>
+
+
+ </div>
+
+ </div>
+ <footer>
+
+ <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
+
+ <a href="examples.html" class="btn btn-neutral float-right" title="Examples" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
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+ <a href="stellar_types.html" class="btn btn-neutral float-left" title="stellar_types module" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>
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+ <div role="contentinfo">
+ <p>
+
+ © Copyright 2021, David Hendriks, Robert Izzard
+
+ </p>
+ </div>
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+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+<br><br>
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+<br><br>
+Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
+
+
+
+</footer>
+
+ </div>
+ </div>
+
+ </section>
+
+ </div>
+
+
+ <script type="text/javascript">
+ jQuery(function () {
+ SphinxRtdTheme.Navigation.enable(true);
+ });
+ </script>
+
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+
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+</body>
+</html>
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diff --git a/docs/source/_templates/footer.html b/docs/source/_templates/footer.html
index 05f203050db0ef920c590f9392938dc1f8fc8335..d93993ddcdac30a8e4c01925429a47642cf3f461 100644
--- a/docs/source/_templates/footer.html
+++ b/docs/source/_templates/footer.html
@@ -2,7 +2,7 @@
{%- block extrafooter %}
<br><br>
-Generated on binarycpython git branch: development_version/2.1.7 git revision 5f41f8f9868a5900e157dbb26249bf1e7685b623 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
+Generated on binarycpython git branch: development_version/2.1.7 git revision 4e05be2d8aa58fe4712f5cd91bc9e784a4a34ab5 url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c-python/-/tree/development_version/2.1.7">git url</a>.
<br><br>
Using binary_c with bit branch branch_david: git revision: "6044:20210720:d1ed5b6c1" url: <a href="https://gitlab.eps.surrey.ac.uk/ri0005/binary_c/-/tree/branch_david">git url</a>.
diff --git a/docs/source/grid_options_descriptions.rst b/docs/source/grid_options_descriptions.rst
index 8de43ca92cd0f246c88b1213f0ce19ce48da3a04..5a77792e1c16a5d29844979038458f27e145a08d 100644
--- a/docs/source/grid_options_descriptions.rst
+++ b/docs/source/grid_options_descriptions.rst
@@ -15,14 +15,14 @@ The following options are meant to be changed by the user.
| **amt_cores**: The amount of cores that the population grid will use. The multiprocessing is useful but make sure to figure out how many logical cores the machine has. The core is multiprocessed, not multithreaded, and will gain no extra speed when amt_cores exceeds the amount of logical cores. Input: int
-| **binary**: Set this to 1 if the population contains binaries. Input: int
-
| **combine_ensemble_with_thread_joining**: BOolean flag on whether to combine everything and return it to the user or if false: write it to data_dir/ensemble_output_{popuation_id}_{thread_id}.json
| **condor**: Int flag whether to use a condor type population evolution. Not implemented yet.
| **custom_logging_func_memaddr**: Memory adress where the custom_logging_function is stored. Input: int
+| **ensemble_factor_in_probability_weighted_mass**: Flag to multiply all the ensemble results with 1/probability_weighted_mass
+
| **evolution_type**: Variable containing the type of evolution used of the grid. Multiprocessing or linear processing
| **failed_systems_threshold**: Variable storing the maximum amount of systems that are allowed to fail before logging their commandline arguments to failed_systems log files
@@ -37,10 +37,14 @@ The following options are meant to be changed by the user.
| **log_runtime_systems**: Whether to log the runtime of the systems . Each systems run by the thread is logged to a file and is stored in the tmp_dir. (1 file per thread). Don't use this if you are planning to run alot of systems. This is mostly for debugging and finding systems that take long to run. Integer, default = 0. if value is 1 then the systems are logged
+| **m&s_options**: Internal variable that holds the M&S options. Don't write to this your self
+
| **max_queue_size**: Maximum size of the queue that is used to feed the processes. Don't make this too big! Default: 1000. Input: int
| **modulo**: No description available yet
+| **multiplicity_fraction_function**: Which multiplicity fraction function to use. 0: None, 1: Arenou 2010, 2: Rhagavan 2010, 3: M&S 2017
+
| **parse_function**: Function that the user can provide to handle the output the binary_c. This function has to take the arguments (self, output). Its best not to return anything in this function, and just store stuff in the grid_options['results'] dictionary, or just output results to a file
| **repeat**: Factor of how many times a system should be repeated. Consider the evolution splitting binary_c argument for supernovae kick repeating.
@@ -170,6 +174,8 @@ The following options are not meant to be changed by the user, as these options
| **_grid_variables**: Dictionary storing the grid_variables. These contain properties which are accessed by the _generate_grid_code function
+| **_loaded_ms_data**: Internal variable storing whether the M&S data has been loaded into memory
+
| **_main_pid**: Main process ID of the master process. Used and set by the population object.
| **_population_id**: Variable storing a unique 32-char hex string.