diff --git a/examples/notebook_custom_logging.ipynb b/examples/notebook_custom_logging.ipynb
index 3564cbf8eb13803cf26def115b8769cd5e1c5eef..e84895375014ce29b29a572a9a264d1505eb1db9 100644
--- a/examples/notebook_custom_logging.ipynb
+++ b/examples/notebook_custom_logging.ipynb
@@ -6,235 +6,490 @@
"metadata": {},
"source": [
"# Notebook custom logging\n",
- "In this notebook you'll learn how to use the custom logging functionalty"
+ "In this notebook you'll learn how to use the custom logging functionality"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "id": "77bd09b0-1a94-499d-97db-a1f991c67c12",
+ "execution_count": 37,
+ "id": "696ecbb9-1efd-48f4-a57e-2cf6dfe416f1",
"metadata": {},
"outputs": [],
"source": [
- "import binary_c_python_api\n",
- "\n",
+ "from binarycpython import _binary_c_bindings\n",
"from binarycpython.utils.custom_logging_functions import (\n",
" autogen_C_logging_code,\n",
" binary_c_log_code,\n",
" create_and_load_logging_function,\n",
")\n",
+ "from binarycpython.utils.run_system_wrapper import run_system\n",
+ "from binarycpython.utils.grid import Population"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d4d721cc-df4f-4ac2-b6f9-62e85ca0c1e5",
+ "metadata": {},
+ "source": [
+ "The custom logging functionality allows us to decide the output of binary_c _without_ modifying the actual sourcecode of binary_c (i.e. editing `src/logging/log_every_timestep` in binary_c). Rather, we can create a logging routine from within python.\n",
"\n",
- "from binarycpython.utils.grid import Population\n",
+ "Technically, the following steps are taken:\n",
+ "- User creates a logging print statement from within python\n",
+ "- The logging print statement string gets wrapped into a proper c-function by `binary_c_log_code`\n",
+ "- The c-function string gets compiled and loaded into memory by `create_and_load_logging_function`\n",
+ "- The memory adress of the compiled and loaded print function can now be passed to C\n",
+ "- binary_c uses the custom print function \n",
"\n",
- "#################################################\n",
- "# File containing examples for the custom logging\n",
- "# I'll put several logging snippets for different purposes in this file\n",
- "#\n",
+ "The custom logging functionality can be used when running systems via `run_system()`, via `Population.evolve()` and `Population.evolve_single()`, and directly via the API\n",
"\n",
- "#################################################\n",
- "# no logging set.\n",
- "pop = Population()\n",
- "pop.set(\n",
- " M_1=10,\n",
- " M_2=10,\n",
- " separation=0,\n",
- " orbital_period=4530,\n",
- " eccentricity=0,\n",
- " metallicity=0.02,\n",
- " max_evolution_time=15000,\n",
- ")\n",
- "out = pop.evolve_single()\n",
- "print(out)\n",
- "\n",
- "#################################################\n",
- "# Example logging snippet for logging\n",
- "pop.set(\n",
- " C_logging_code=\"\"\"\n",
- " if(stardata->star[0].stellar_type>=MS)\n",
+ "Within the logging statement we can access information from the stardata object, as well as use logical statements to determine when to log information. What we cannot do, however, is access functions that are not _publicly available_. For very elaborate printing routines it is still advised to actually hardcode the print statement into binary_c itself."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "be137151-bb57-43d7-bab1-0167512ac727",
+ "metadata": {},
+ "source": [
+ "## Usage"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ac4e5f4c-81e6-4980-b852-aca84ca74f4c",
+ "metadata": {},
+ "source": [
+ "There are two methods to create the C-code that will be compiled:\n",
+ "- Automatically generate the print statement and use the wrapper to generate the full function string, by using `autogen_C_logging_code`\n",
+ "- Create your custom print statement and use the wrapper to generate the full function string, by writing out the print statement. Here the logging statement obviously has to be valid C code"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "236cf821-09ac-4237-9b8f-6e36d2edf446",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Printf(\"MY_STELLAR_DATA %g %g\\n\",((double)stardata->model.time),((double)stardata->star[0].mass));\n"
+ ]
+ }
+ ],
+ "source": [
+ "# generate logging lines. Here you can choose whatever you want to have logged, and with what header\n",
+ "# this generates working print statements\n",
+ "logging_line = autogen_C_logging_code(\n",
" {\n",
- " if (stardata->model.time < stardata->model.max_evolution_time)\n",
- " {\n",
- " Printf(\"EXAMPLE_ABOVE_MS %30.12e %g %g %g %g %d %d\\\\n\",\n",
- " // \n",
- " stardata->model.time, // 1\n",
- "\n",
- " stardata->star[0].mass, //2\n",
- " stardata->previous_stardata->star[0].mass, //3\n",
+ " \"MY_STELLAR_DATA\": [\"model.time\", \"star[0].mass\"],\n",
+ " }\n",
+ ")\n",
+ "print(logging_line)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "feb423d5-5cc3-433c-9801-f8017abbc03a",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Printf(\"MY_STELLAR_DATA time=%g mass=%g\\n\", stardata->model.time, stardata->star[0].mass)\n"
+ ]
+ }
+ ],
+ "source": [
+ "# You can also decide to `write` your own logging_line, which allows you to write a more complex logging statement with conditionals.\n",
+ "logging_line = 'Printf(\"MY_STELLAR_DATA time=%g mass=%g\\\\n\", stardata->model.time, stardata->star[0].mass)'\n",
+ "print(logging_line)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "id": "2f5defbf-c623-49ed-a238-fba52a563a58",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "#pragma push_macro(\"Max\")\n",
+ "#pragma push_macro(\"Min\")\n",
+ "#undef Max\n",
+ "#undef Min\n",
+ "#include \"binary_c.h\"\n",
+ "\n",
+ "// add visibility __attribute__ ((visibility (\"default\"))) to it \n",
+ "void binary_c_API_function custom_output_function(struct stardata_t * stardata);\n",
+ "void binary_c_API_function custom_output_function(struct stardata_t * stardata)\n",
+ "{\n",
+ " // struct stardata_t * stardata = (struct stardata_t *)x;\n",
+ " Printf(\"MY_STELLAR_DATA time=%g mass=%g\\n\", stardata->model.time, stardata->star[0].mass);\n",
+ "}\n",
+ "\n",
+ "#undef Max \n",
+ "#undef Min\n",
+ "#pragma pop_macro(\"Min\")\n",
+ "#pragma pop_macro(\"Max\") \n"
+ ]
+ }
+ ],
+ "source": [
+ "# Generate the entire 'script' by wrapping the logging line\n",
+ "custom_logging_code = binary_c_log_code(logging_line)\n",
+ "print(custom_logging_code)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "efa7f1e9-247e-4196-a883-bcff05265d02",
+ "metadata": {},
+ "source": [
+ "Combining the above with e.g. run_system() (see notebook_individual_systems for more examples):"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "dcd74bbc-478b-43e4-b495-8c456e8d1d88",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "MY_STELLAR_DATA time=0 mass=2\n",
+ "MY_STELLAR_DATA time=0 mass=2\n",
+ "MY_STELLAR_DATA time=1e-06 mass=2\n",
+ "MY_STELLAR_DATA time=2e-06 mass=2\n"
+ ]
+ }
+ ],
+ "source": [
+ "# logging statement\n",
+ "logging_line = 'Printf(\"MY_STELLAR_DATA time=%g mass=%g\\\\n\", stardata->model.time, stardata->star[0].mass)'\n",
"\n",
- " stardata->star[0].radius, //4\n",
- " stardata->previous_stardata->star[0].radius, //5\n",
+ "# Entire script\n",
+ "custom_logging_code = binary_c_log_code(logging_line)\n",
"\n",
- " stardata->star[0].stellar_type, //6\n",
- " stardata->previous_stardata->star[0].stellar_type //7\n",
- " );\n",
- " };\n",
- " /* Kill the simulation to save time */\n",
- " //stardata->model.max_evolution_time = stardata->model.time - stardata->model.dtm;\n",
- " };\n",
- "\"\"\"\n",
- ")\n",
- "out = pop.evolve_single()\n",
- "print(out)\n",
+ "# Run system\n",
+ "output = run_system(M_1=2, custom_logging_code=custom_logging_code)\n",
"\n",
+ "# print (abridged) output\n",
+ "print(\"\\n\".join(output.splitlines()[:4]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1998ee8f-8c0a-462b-b1e0-54f5963902cc",
+ "metadata": {},
+ "source": [
+ "### Using custom logging with the population object\n",
+ "Custom logging can be used for a whole population by setting the print statement (so not the entire logging script) in `C_logging_code`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "77bd09b0-1a94-499d-97db-a1f991c67c12",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "EXAMPLE_ABOVE_MS 1.041660877905e+02 4.99198 4.99198 6.1357 6.1357 2 1\n",
+ "EXAMPLE_ABOVE_MS 1.041662558619e+02 4.99198 4.99198 6.14057 6.1357 2 2\n",
+ "EXAMPLE_ABOVE_MS 1.041662560111e+02 4.99198 4.99198 6.14057 6.14057 2 2\n",
+ "EXAMPLE_ABOVE_MS 1.041662564579e+02 4.99198 4.99198 6.14059 6.14057 2 2\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Set up population\n",
+ "pop = Population()\n",
"\n",
- "#################################################\n",
- "# Example logging snippet for checking whether the system becomes a NS, and stop the evolution if so.\n",
+ "# Set some BSE parameters\n",
"pop.set(\n",
- " M_1=100,\n",
- " M_2=10,\n",
- " separation=0,\n",
- " orbital_period=400530,\n",
- " eccentricity=0,\n",
- " metallicity=0.002,\n",
- " max_evolution_time=15000,\n",
+ " M_1=5\n",
")\n",
- "pop.set(\n",
- " C_logging_code=\"\"\"\n",
- " if(stardata->star[0].stellar_type>=NS)\n",
- " {\n",
- " if (stardata->model.time < stardata->model.max_evolution_time)\n",
- " {\n",
- " Printf(\"EXAMPLE_LOG_CO %30.12e %g %g %g %g %d %d\\\\n\",\n",
- " // \n",
- " stardata->model.time, // 1\n",
"\n",
- " stardata->star[0].mass, //2\n",
- " stardata->previous_stardata->star[0].mass, //3\n",
+ "# Example logging that prints only if the star is post main-sequence\n",
+ "example_logging_string_post_MS = \"\"\"\n",
+ "if(stardata->star[0].stellar_type>MS)\n",
+ "{\n",
+ " Printf(\"EXAMPLE_ABOVE_MS %30.12e %g %g %g %g %d %d\\\\n\",\n",
+ " // \n",
+ " stardata->model.time, // 1\n",
"\n",
- " stardata->star[0].radius, //4\n",
- " stardata->previous_stardata->star[0].radius, //5\n",
+ " stardata->star[0].mass, //2\n",
+ " stardata->previous_stardata->star[0].mass, //3\n",
"\n",
- " stardata->star[0].stellar_type, //6\n",
- " stardata->previous_stardata->star[0].stellar_type //7\n",
- " );\n",
- " };\n",
- " /* Kill the simulation to save time */\n",
- " stardata->model.max_evolution_time = stardata->model.time - stardata->model.dtm;\n",
- " };\n",
+ " stardata->star[0].radius, //4\n",
+ " stardata->previous_stardata->star[0].radius, //5\n",
+ "\n",
+ " stardata->star[0].stellar_type, //6\n",
+ " stardata->previous_stardata->star[0].stellar_type //7\n",
+ " );\n",
+ "};\n",
"\"\"\"\n",
+ "\n",
+ "# Set the logging\n",
+ "pop.set(\n",
+ " C_logging_code=example_logging_string_post_MS\n",
")\n",
"out = pop.evolve_single()\n",
"\n",
+ "# Print (abridged) output\n",
+ "print('\\n'.join(out.splitlines()[:4]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "93397ff3-9b71-470d-8bc4-08fe5b1a5dca",
+ "metadata": {},
+ "source": [
+ "### Using custom logging when running directly from the API\n",
+ "When running a system directly with the API we need to manually load the custom logging into memory (via `create_and_load_logging_function`) and pass the memory address to the binary_c binding via `_binary_c_bindings.run_system(argstring, custom_logging_func_memaddr=custom_logging_memaddr)`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "id": "30142286-34ce-433e-82c8-565e2160ff5b",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "MY_STELLAR_DATA 0 15\n",
+ "MY_STELLAR_DATA 0 15\n",
+ "MY_STELLAR_DATA 1e-06 15\n",
+ "MY_STELLAR_DATA 2e-06 15\n"
+ ]
+ }
+ ],
+ "source": [
+ "# generate logging lines\n",
+ "logging_line = autogen_C_logging_code(\n",
+ " {\n",
+ " \"MY_STELLAR_DATA\": [\"model.time\", \"star[0].mass\"],\n",
+ " }\n",
+ ")\n",
+ "\n",
+ "# Generate code around logging lines\n",
+ "custom_logging_code = binary_c_log_code(logging_line)\n",
"\n",
- "# TODO: add function that shows a\n",
+ "# Generate library and get memaddr\n",
+ "custom_logging_memaddr, shared_lib_filename = create_and_load_logging_function(\n",
+ " custom_logging_code\n",
+ ")\n",
"\n",
- "# TODO: add function for compact object mergers\n",
+ "#\n",
+ "m1 = 15.0 # Msun\n",
+ "m2 = 14.0 # Msun\n",
+ "separation = 0 # 0 = ignored, use period\n",
+ "orbital_period = 4530.0 # days\n",
+ "eccentricity = 0.0\n",
+ "metallicity = 0.02\n",
+ "max_evolution_time = 15000\n",
+ "argstring = \"binary_c M_1 {0:g} M_2 {1:g} separation {2:g} orbital_period {3:g} eccentricity {4:g} metallicity {5:g} max_evolution_time {6:g}\".format(\n",
+ " m1,\n",
+ " m2,\n",
+ " separation,\n",
+ " orbital_period,\n",
+ " eccentricity,\n",
+ " metallicity,\n",
+ " max_evolution_time,\n",
+ ")\n",
+ "output = _binary_c_bindings.run_system(\n",
+ " argstring, custom_logging_func_memaddr=custom_logging_memaddr\n",
+ ")\n",
"\n",
- "# TODO: add function\n"
+ "# print (abridged) output\n",
+ "print('\\n'.join(output.splitlines()[:4]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "39c76b1d-d968-4eef-b5ae-2542ed9557c3",
+ "metadata": {},
+ "source": [
+ "## Examples of logging strings\n",
+ "Below are some examples of logging strings"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2ac4af72-6dab-4cc9-986e-5b5b1fa31b73",
+ "metadata": {},
+ "source": [
+ "### Compact object\n",
+ "This logging will print the timestep when the star becomes a compact object. After it does, we change the maximum time to be the current time, effectively terminating the evolution"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "id": "a6150cc1-895c-4e7b-baae-7db81ee81544",
+ "execution_count": 42,
+ "id": "6f0edc65-a788-4706-a0c5-2ace030765ec",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "SINGLE_STAR_LIFETIME 10 27.7358\n",
+ "EXAMPLE_LOG_CO 2.773581245005e+01 1.33524 9.19314 1.72498e-05 730.446 13 5\n"
+ ]
+ }
+ ],
"source": [
- "def run_example_binary_with_custom_logging():\n",
- " \"\"\"\n",
- " Function that will use a automatically generated piece of logging code. Compile it, load it\n",
- " into memory and run a binary system. See run_system on how several things are done in the background here.\n",
- " \"\"\"\n",
- "\n",
- " import pandas as pd\n",
- " import numpy as np\n",
- "\n",
- " # generate logging lines. Here you can choose whatever you want to have logged, and with what header\n",
- " # this generates working print statements\n",
- " logging_line = autogen_C_logging_code(\n",
- " {\n",
- " \"MY_STELLAR_DATA\": [\"model.time\", \"star[0].mass\"],\n",
- " }\n",
- " )\n",
- " # OR\n",
- " # You can also decide to `write` your own logging_line, which allows you to write a more complex logging statement with conditionals.\n",
- " logging_line = 'Printf(\"MY_STELLAR_DATA time=%g mass=%g\\\\n\", stardata->model.time, stardata->star[0].mass)'\n",
- "\n",
- " # Generate entire shared lib code around logging lines\n",
- " custom_logging_code = binary_c_log_code(logging_line)\n",
- "\n",
- " # Run system. all arguments can be given as optional arguments. the custom_logging_code is one of them and will be processed automatically.\n",
- " output = run_system(\n",
- " M_1=1,\n",
- " metallicity=0.002,\n",
- " M_2=0.1,\n",
- " separation=0,\n",
- " orbital_period=100000000000,\n",
- " custom_logging_code=custom_logging_code,\n",
- " )\n",
+ "example_logging_string_CO = \"\"\"\n",
+ "if(stardata->star[0].stellar_type>=NS)\n",
+ "{\n",
+ " if (stardata->model.time < stardata->model.max_evolution_time)\n",
+ " {\n",
+ " Printf(\"EXAMPLE_LOG_CO %30.12e %g %g %g %g %d %d\\\\n\",\n",
+ " // \n",
+ " stardata->model.time, // 1\n",
"\n",
- " print(output)\n",
+ " stardata->star[0].mass, //2\n",
+ " stardata->previous_stardata->star[0].mass, //3\n",
"\n",
- " # 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)\n",
- " # DOESNT WORK YET if you have the line autogenerated.\n",
- " result_example_header = parse_output(output, \"MY_STELLAR_DATA\")\n",
+ " stardata->star[0].radius, //4\n",
+ " stardata->previous_stardata->star[0].radius, //5\n",
"\n",
- " # Cast the data into a dataframe.\n",
- " df = pd.DataFrame.from_dict(result_example_header, dtype=np.float64)\n",
+ " stardata->star[0].stellar_type, //6\n",
+ " stardata->previous_stardata->star[0].stellar_type //7\n",
+ " );\n",
+ " };\n",
+ " /* Kill the simulation to save time */\n",
+ " stardata->model.max_evolution_time = stardata->model.time - stardata->model.dtm;\n",
+ "};\n",
+ "\"\"\"\n",
"\n",
- " # Do whatever you like with the dataframe.\n",
- " print(df)\n",
+ "# Entire script\n",
+ "custom_logging_code = binary_c_log_code(example_logging_string_CO)\n",
"\n",
+ "# Run system\n",
+ "output = run_system(M_1=10, custom_logging_code=custom_logging_code)\n",
"\n",
- "# run_example_binary_with_custom_logging()\n"
+ "# print (abridged) output\n",
+ "print(\"\\n\".join(output.splitlines()[:4]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "51c51592-6406-43bd-a879-10ace64aaf28",
+ "metadata": {},
+ "source": [
+ "### Logging mass evolution and the supernova\n",
+ "This logging code prints the mass evolution and the moment the star goes supernova"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "id": "30142286-34ce-433e-82c8-565e2160ff5b",
+ "execution_count": 47,
+ "id": "8f58fdf9-3e76-4c18-a1c5-eed0980d4133",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "EXAMPLE_MASSLOSS 9.878236827680e+00 1.61349 8.38063 20 13 1\n",
+ "EXAMPLE_SN 9.878236827680e+00 1.61349 8.38063 20 12 13 5 1 6.74037 4.92267 6.74037 0 0\n"
+ ]
+ }
+ ],
"source": [
- "def run_example_custom_logging_autogenerated():\n",
- " \"\"\"\n",
- " This is an example function for the autogeneration of logging codes that binary_c uses.\n",
- " \"\"\"\n",
+ "example_logging_string_CO = \"\"\"\n",
+ "Printf(\"EXAMPLE_MASSLOSS %30.12e %g %g %g %d %g\\\\n\",\n",
+ " // \n",
+ " stardata->model.time, // 1\n",
+ " stardata->star[0].mass, //2\n",
+ " stardata->previous_stardata->star[0].mass, //3\n",
+ " stardata->common.zero_age.mass[0], //4\n",
+ "\n",
+ " stardata->star[0].stellar_type, //5\n",
+ " stardata->model.probability //6\n",
+ ");\n",
+ "if(stardata->star[0].SN_type != SN_NONE)\n",
+ "{\n",
+ " if (stardata->model.time < stardata->model.max_evolution_time)\n",
+ " {\n",
+ " if(stardata->pre_events_stardata != NULL)\n",
+ " {\n",
+ " Printf(\"EXAMPLE_SN %30.12e \" // 1\n",
+ " \"%g %g %g %d \" // 2-5\n",
+ " \"%d %d %g %g \" // 6-9\n",
+ " \"%g %g %g %g\\\\n\", // 10-13\n",
"\n",
- " # generate logging lines\n",
- " logging_line = autogen_C_logging_code(\n",
+ " // \n",
+ " stardata->model.time, // 1\n",
+ "\n",
+ " stardata->star[0].mass, //2\n",
+ " stardata->pre_events_stardata->star[0].mass, //3\n",
+ " stardata->common.zero_age.mass[0], //4\n",
+ " stardata->star[0].SN_type, //5\n",
+ "\n",
+ " stardata->star[0].stellar_type, //6\n",
+ " stardata->pre_events_stardata->star[0].stellar_type, //7\n",
+ " stardata->model.probability, //8\n",
+ " stardata->pre_events_stardata->star[0].core_mass[ID_core(stardata->pre_events_stardata->star[0].stellar_type)], // 9\n",
+ "\n",
+ " stardata->pre_events_stardata->star[0].core_mass[CORE_CO], // 10\n",
+ " stardata->pre_events_stardata->star[0].core_mass[CORE_He], // 11\n",
+ " stardata->star[0].fallback, // 12\n",
+ " stardata->star[0].fallback_mass // 13\n",
+ " );\n",
+ " }\n",
+ " else\n",
" {\n",
- " \"MY_STELLAR_DATA\": [\"model.time\", \"star[0].mass\"],\n",
- " \"my_sss2\": [\"model.time\", \"star[1].mass\"],\n",
+ " Printf(\"EXAMPLE_SN %30.12e \" // 1\n",
+ " \"%g %g %g %d \" // 2-5\n",
+ " \"%d %d %g %g \" // 6-9\n",
+ " \"%g %g %g %g\\\\n\", // 10-13\n",
+ "\n",
+ " // \n",
+ " stardata->model.time, // 1\n",
+ "\n",
+ " stardata->star[0].mass, //2\n",
+ " stardata->previous_stardata->star[0].mass, //3\n",
+ " stardata->common.zero_age.mass[0], //4\n",
+ " stardata->star[0].SN_type, //5\n",
+ "\n",
+ " stardata->star[0].stellar_type, //6\n",
+ " stardata->previous_stardata->star[0].stellar_type, //7\n",
+ " stardata->model.probability, //8\n",
+ " stardata->previous_stardata->star[0].core_mass[ID_core(stardata->previous_stardata->star[0].stellar_type)], // 9\n",
+ "\n",
+ " stardata->previous_stardata->star[0].core_mass[CORE_CO], // 10\n",
+ " stardata->previous_stardata->star[0].core_mass[CORE_He], // 11\n",
+ " stardata->star[0].fallback, // 12\n",
+ " stardata->star[0].fallback_mass // 13\n",
+ " );\n",
" }\n",
- " )\n",
- "\n",
- " # Generate code around logging lines\n",
- " custom_logging_code = binary_c_log_code(logging_line)\n",
- "\n",
- " # Generate library and get memaddr\n",
- " func_memaddr, shared_lib_filename = create_and_load_logging_function(\n",
- " custom_logging_code\n",
- " )\n",
- "\n",
- " #\n",
- " m1 = 15.0 # Msun\n",
- " m2 = 14.0 # Msun\n",
- " separation = 0 # 0 = ignored, use period\n",
- " orbital_period = 4530.0 # days\n",
- " eccentricity = 0.0\n",
- " metallicity = 0.02\n",
- " max_evolution_time = 15000\n",
- " argstring = \"binary_c M_1 {0:g} M_2 {1:g} separation {2:g} orbital_period {3:g} eccentricity {4:g} metallicity {5:g} max_evolution_time {6:g}\".format(\n",
- " m1,\n",
- " m2,\n",
- " separation,\n",
- " orbital_period,\n",
- " eccentricity,\n",
- " metallicity,\n",
- " max_evolution_time,\n",
- " )\n",
- " output = _binary_c_bindings.run_system(\n",
- " argstring, custom_logging_func_memaddr=func_memaddr\n",
- " )\n",
- " print(output)\n",
- "\n",
- "\n",
- "# run_example_custom_logging_autogenerated()\n",
- "\n",
- "\n",
- "\n",
- "\n"
+ " };\n",
+ " /* Kill the simulation to save time */\n",
+ " stardata->model.max_evolution_time = stardata->model.time - stardata->model.dtm;\n",
+ "};\n",
+ "\"\"\"\n",
+ "\n",
+ "# Entire script\n",
+ "custom_logging_code = binary_c_log_code(example_logging_string_CO)\n",
+ "\n",
+ "# Run system\n",
+ "output = run_system(M_1=20, custom_logging_code=custom_logging_code)\n",
+ "\n",
+ "# print (abridged) output\n",
+ "print(\"\\n\".join(output.splitlines()[-2:]))"
]
}
],
diff --git a/examples/notebook_individual_systems.ipynb b/examples/notebook_individual_systems.ipynb
index f5d0b22cf9950584ec4333314b0945ad088cd122..887dacd032dbd1cf5d66c7e81dac53cf12dcc65d 100644
--- a/examples/notebook_individual_systems.ipynb
+++ b/examples/notebook_individual_systems.ipynb
@@ -27,7 +27,7 @@
},
{
"cell_type": "code",
- "execution_count": 107,
+ "execution_count": 1,
"id": "425efed3-d8e3-432d-829e-41d8ebe05162",
"metadata": {},
"outputs": [],
@@ -38,7 +38,7 @@
},
{
"cell_type": "code",
- "execution_count": 79,
+ "execution_count": 2,
"id": "b2abab48-433d-4936-8434-14804c52c9f6",
"metadata": {},
"outputs": [
@@ -66,7 +66,7 @@
},
{
"cell_type": "code",
- "execution_count": 77,
+ "execution_count": 3,
"id": "029fc3f2-f09a-49af-a32b-248505738f2e",
"metadata": {},
"outputs": [
@@ -74,7 +74,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " TIME M1 M2 K1 K2 SEP ECC R1/ROL1 R2/ROL2 TYPE RANDOM_SEED=70884 RANDOM_COUNT=0\n",
+ " TIME M1 M2 K1 K2 SEP ECC R1/ROL1 R2/ROL2 TYPE RANDOM_SEED=67365 RANDOM_COUNT=0\n",
" 0.0000 1.000 0.000 1 15 -1 -1.00 0.000 0.000 \"INITIAL \"\n",
" 11003.1302 1.000 0.000 2 15 -1 -1.00 0.000 0.000 \"OFF_MS\"\n",
" 11003.1302 1.000 0.000 2 15 -1 -1.00 0.000 0.000 \"TYPE_CHNGE\"\n",
@@ -105,10 +105,9 @@
},
{
"cell_type": "code",
- "execution_count": 113,
+ "execution_count": 6,
"id": "e6a23b55-ca42-440d-83ac-e76a24a83a67",
"metadata": {
- "scrolled": true,
"tags": []
},
"outputs": [
@@ -116,1625 +115,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Creating the code for the shared library for the custom logging\n",
- "EXAMPLE_MASSLOSS 0.000000000000e+00 1 1 1\n",
- "EXAMPLE_MASSLOSS 0.000000000000e+00 1 1 1\n",
- "EXAMPLE_MASSLOSS 1.000000000000e-06 1 1 1\n",
- "EXAMPLE_MASSLOSS 2.000000000000e-06 1 1 1\n",
- "EXAMPLE_MASSLOSS 3.000000000000e-06 1 1 1\n",
- "EXAMPLE_MASSLOSS 4.000000000000e-06 1 1 1\n",
- "EXAMPLE_MASSLOSS 5.000000000000e-06 1 1 1\n",
- "EXAMPLE_MASSLOSS 6.000000000000e-06 1 1 1\n",
- "EXAMPLE_MASSLOSS 7.000000000000e-06 1 1 1\n",
- "EXAMPLE_MASSLOSS 8.000000000000e-06 1 1 1\n",
- "EXAMPLE_MASSLOSS 9.000000000000e-06 1 1 1\n",
- "EXAMPLE_MASSLOSS 4.763878112795e+01 1 1 1\n",
- "EXAMPLE_MASSLOSS 9.480116556240e+01 1 1 1\n",
- "EXAMPLE_MASSLOSS 1.428283875469e+02 1 1 1\n",
- "EXAMPLE_MASSLOSS 1.916962927987e+02 1 1 1\n",
- "EXAMPLE_MASSLOSS 2.414188900125e+02 1 1 1\n",
- "EXAMPLE_MASSLOSS 2.920092540441e+02 1 1 1\n",
- "EXAMPLE_MASSLOSS 3.434806096287e+02 1 1 1\n",
- "EXAMPLE_MASSLOSS 3.958462973355e+02 1 1 1\n",
- "EXAMPLE_MASSLOSS 4.491197701750e+02 1 1 1\n",
- "EXAMPLE_MASSLOSS 5.033145889377e+02 1 1 1\n",
- "EXAMPLE_MASSLOSS 5.584444171268e+02 1 1 1\n",
- "EXAMPLE_MASSLOSS 6.145230154373e+02 1 1 1\n",
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- "EXAMPLE_MASSLOSS 7.295820147006e+02 1 1 1\n",
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- "EXAMPLE_MASSLOSS 1.174777710132e+04 0.999418 1 3\n",
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- "EXAMPLE_MASSLOSS 1.176498935648e+04 0.999394 1 3\n",
- "EXAMPLE_MASSLOSS 1.177061241091e+04 0.999385 1 3\n",
- "EXAMPLE_MASSLOSS 1.177617923479e+04 0.999377 1 3\n",
- "EXAMPLE_MASSLOSS 1.178169039044e+04 0.999368 1 3\n",
- "EXAMPLE_MASSLOSS 1.178714643453e+04 0.99936 1 3\n",
- "EXAMPLE_MASSLOSS 1.179254791818e+04 0.999351 1 3\n",
- "EXAMPLE_MASSLOSS 1.179789538699e+04 0.999343 1 3\n",
- "EXAMPLE_MASSLOSS 1.180318938112e+04 0.999334 1 3\n",
- "EXAMPLE_MASSLOSS 1.180843043530e+04 0.999325 1 3\n",
- "EXAMPLE_MASSLOSS 1.181361907894e+04 0.999316 1 3\n",
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- "EXAMPLE_MASSLOSS 1.182384122578e+04 0.999298 1 3\n",
- "EXAMPLE_MASSLOSS 1.182887576152e+04 0.999289 1 3\n",
- "EXAMPLE_MASSLOSS 1.183385995190e+04 0.999279 1 3\n",
- "EXAMPLE_MASSLOSS 1.183879430037e+04 0.99927 1 3\n",
- "EXAMPLE_MASSLOSS 1.184367930536e+04 0.999261 1 3\n",
- "EXAMPLE_MASSLOSS 1.184851546031e+04 0.999251 1 3\n",
- "EXAMPLE_MASSLOSS 1.185330325370e+04 0.999242 1 3\n",
- "EXAMPLE_MASSLOSS 1.185804316916e+04 0.999232 1 3\n",
- "EXAMPLE_MASSLOSS 1.186273568546e+04 0.999222 1 3\n",
- "EXAMPLE_MASSLOSS 1.186738127660e+04 0.999213 1 3\n",
- "EXAMPLE_MASSLOSS 1.187198041183e+04 0.999203 1 3\n",
- "EXAMPLE_MASSLOSS 1.187653355570e+04 0.999193 1 3\n",
- "EXAMPLE_MASSLOSS 1.188104116814e+04 0.999183 1 3\n",
- "EXAMPLE_MASSLOSS 1.188550370446e+04 0.999172 1 3\n",
- "EXAMPLE_MASSLOSS 1.188992161541e+04 0.999162 1 3\n",
- "EXAMPLE_MASSLOSS 1.189429534725e+04 0.999152 1 3\n",
- "EXAMPLE_MASSLOSS 1.189862534177e+04 0.999142 1 3\n",
- "EXAMPLE_MASSLOSS 1.190291203635e+04 0.999131 1 3\n",
- "EXAMPLE_MASSLOSS 1.190715586398e+04 0.99912 1 3\n",
- "EXAMPLE_MASSLOSS 1.191135725333e+04 0.99911 1 3\n",
- "EXAMPLE_MASSLOSS 1.191551662879e+04 0.999099 1 3\n",
- "EXAMPLE_MASSLOSS 1.191963441050e+04 0.999088 1 3\n",
- "EXAMPLE_MASSLOSS 1.192371101439e+04 0.999077 1 3\n",
- "EXAMPLE_MASSLOSS 1.192774685224e+04 0.999066 1 3\n",
- "EXAMPLE_MASSLOSS 1.193174233171e+04 0.999055 1 3\n",
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- "EXAMPLE_MASSLOSS 1.246168417835e+04 0.663634 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168424866e+04 0.66334 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168431877e+04 0.663048 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168438869e+04 0.662756 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168445843e+04 0.662464 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168452799e+04 0.662174 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168459735e+04 0.661884 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168466653e+04 0.661595 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168473553e+04 0.661307 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168480434e+04 0.661019 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168487297e+04 0.660733 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168494141e+04 0.660447 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168500967e+04 0.660161 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168507775e+04 0.659877 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168514564e+04 0.659593 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168521336e+04 0.65931 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168528089e+04 0.659028 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168534824e+04 0.658746 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168541542e+04 0.658466 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168548241e+04 0.658186 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168554922e+04 0.657906 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168561586e+04 0.657628 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168568232e+04 0.65735 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168574860e+04 0.657073 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168581470e+04 0.656796 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168588063e+04 0.656521 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168594637e+04 0.656246 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168601195e+04 0.655972 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168607735e+04 0.655698 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168614257e+04 0.655426 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168620762e+04 0.655153 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168627250e+04 0.654882 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168633720e+04 0.654612 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168640173e+04 0.654342 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168646609e+04 0.654072 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168653028e+04 0.653804 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168659429e+04 0.653536 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168665813e+04 0.653269 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168672181e+04 0.653003 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168678531e+04 0.652737 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168684864e+04 0.652472 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168691181e+04 0.652208 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168697481e+04 0.651944 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168703763e+04 0.651681 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168710029e+04 0.651419 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168716279e+04 0.651158 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168722511e+04 0.650897 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168728727e+04 0.650637 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168734927e+04 0.650377 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168741110e+04 0.650118 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168747276e+04 0.64986 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168753426e+04 0.649603 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168759560e+04 0.649346 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168765677e+04 0.64909 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168771778e+04 0.648835 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168777862e+04 0.64858 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168783931e+04 0.648326 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168789983e+04 0.648073 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168796019e+04 0.64782 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168802039e+04 0.647568 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168808043e+04 0.647316 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168814031e+04 0.647066 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168820003e+04 0.646816 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168825959e+04 0.646566 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168831900e+04 0.646317 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168837824e+04 0.646069 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168843733e+04 0.645822 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168849626e+04 0.645575 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168855503e+04 0.645329 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168861364e+04 0.645083 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168867210e+04 0.644838 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168873041e+04 0.644594 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168878856e+04 0.644351 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168884655e+04 0.644108 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168890439e+04 0.643865 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168896208e+04 0.643624 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168901961e+04 0.643383 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168907699e+04 0.643142 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168913422e+04 0.642902 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168919129e+04 0.642663 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168924821e+04 0.642425 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168930498e+04 0.642187 1 6\n",
- "EXAMPLE_MASSLOSS 1.246168936161e+04 0.641949 1 6\n",
- "EXAMPLE_MASSLOSS 1.246182037884e+04 0.577754 1 6\n",
- "SINGLE_STAR_LIFETIME 1 12462\n",
- "EXAMPLE_MASSLOSS 1.246195139608e+04 0.522806 1 11\n",
- "EXAMPLE_MASSLOSS 1.346195139608e+04 0.522806 1 11\n",
- "EXAMPLE_MASSLOSS 1.446195139608e+04 0.522806 1 11\n",
- "EXAMPLE_MASSLOSS 1.500000000000e+04 0.522806 1 11\n",
- "\n"
+ "['EXAMPLE_MASSLOSS 0.000000000000e+00 1 1 1', 'EXAMPLE_MASSLOSS 0.000000000000e+00 1 1 1', 'EXAMPLE_MASSLOSS 1.000000000000e-06 1 1 1', 'EXAMPLE_MASSLOSS 2.000000000000e-06 1 1 1']\n"
]
}
],
@@ -1757,7 +138,7 @@
"custom_logging_code = binary_c_log_code(custom_logging_print_statement)\n",
"\n",
"output = run_system(M_1=1, custom_logging_code=custom_logging_code)\n",
- "print(output)"
+ "print(output.splitlines()[:4])"
]
},
{
@@ -1770,7 +151,7 @@
},
{
"cell_type": "code",
- "execution_count": 115,
+ "execution_count": 7,
"id": "3822721f-217a-495b-962e-d57137b9e290",
"metadata": {},
"outputs": [
@@ -1820,7 +201,7 @@
},
{
"cell_type": "code",
- "execution_count": 126,
+ "execution_count": 8,
"id": "654a07ed-2a88-46ff-9da0-b7759580f9f3",
"metadata": {},
"outputs": [
@@ -1871,7 +252,7 @@
},
{
"cell_type": "code",
- "execution_count": 97,
+ "execution_count": 9,
"id": "4a98ffca-1b72-4bb8-8df1-3bf3187d882f",
"metadata": {},
"outputs": [],
@@ -1890,7 +271,7 @@
},
{
"cell_type": "code",
- "execution_count": 104,
+ "execution_count": 10,
"id": "bff1cc2e-6b32-4ba0-879f-879ffbabd223",
"metadata": {},
"outputs": [
@@ -1934,7 +315,7 @@
},
{
"cell_type": "code",
- "execution_count": 106,
+ "execution_count": 13,
"id": "dd748bab-b57e-4129-8350-9ea11fa179d0",
"metadata": {
"scrolled": true,
@@ -1957,460 +338,10 @@
");\n",
" to grid_options\n",
"Creating and loading custom logging functionality\n",
- "Creating the code for the shared library for the custom logging\n",
- "Removed /tmp/binary_c_python/custom_logging/custom_logging.c\n",
- "Writing the custom logging code to /tmp/binary_c_python/custom_logging/custom_logging.c\n",
- "File/directory /tmp/binary_c_python/custom_logging/libcustom_logging_b72fad5ce31946a596fdf51470ae62cb.so doesn't exist. Can't remove it.\n",
- "Calling the binary_c config code to get the info to build the shared library\n",
- "Got options to compile:\n",
- "\tcc = cc\n",
- "\tccflags = -DALIGNSIZE=8 -std=gnu11 -fstrict-aliasing -Wstrict-aliasing -g -Wpedantic -Wshadow -Wno-variadic-macros -fstack-protector-all -rdynamic -march=native -mtune=native -fno-associative-math -fno-math-errno -ffinite-math-only -fno-rounding-math -fno-signaling-nans -fcx-limited-range -fexcess-precision=fast -fno-unsafe-math-optimizations -fno-finite-math-only -fsignaling-nans -fomit-frame-pointer -fasynchronous-unwind-tables -export-dynamic -O0 -DCPUFREQ=3900 -DBINUTILS_VERSION=2.30 -DOPERATING_SYSTEM=linux -DLINUX -DPOSIX -DLARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64 -D__HAVE_LINK_H -D__HAVE_GNU_QSORT_R -D__HAVE_NATIVE_EXP10 -D__HAVE_POSIX_FADVISE -DFPU_CONTROL -DGIT_REVISION=6101:20210807:c5232be5c -DGIT_URL=gitlab@gitlab.eps.surrey.ac.uk:ri0005/binary_c.git -DGIT_BRANCH=branch_david -D__HAVE_LIBC__ -D__HAVE_LIBGSL__ -I/usr/include -D__HAVE_LIBGSLCBLAS__ -D__HAVE_LIBDL__ -D__HAVE_LIBZ__ -D__HAVE_LIBPTHREAD__ -D__HAVE_LIBBACKTRACE__ -D__HAVE_LIBBSD__ -D__HAVE_LIBM__ -D__HAVE_LIBRINTERPOLATE__ -D__HAVE_IEEE754_H__ -D__HAVE_DRAND48__ -D__HAVE_HSEARCH_DATA__ -D__HAVE_MALLOC_H__ -D__HAVE_SETITIMER__ -D__HAVE_HAS_INCLUDE -D__HAVE_PKG_CONFIG__ -D__HAVE_VALGRIND__ -D__SHOW_STARDATA__ -D__DIFF_STARDATA__ -D__HAVE_7Z__ -D__HAVE_BZCAT__ -D__HAVE_ZCAT__ -O0 -shared -D_SEARCH_H\n",
- "\tld = ld\n",
- "\tlibs = -L/home/david/projects/binary_c_root/binary_c/src -L/usr/lib/x86_64-linux-gnu -L/home/david/.local/lib -L/home/david/projects/binary_c_root/binary_c/src -lc -lgsl -lgslcblas -lm -ldl -lz -lpthread -lbacktrace -lbsd -lrinterpolate -lbinary_c\n",
- "\tinc = -I/home/david/projects/binary_c_root/binary_c -I/home/david/projects/binary_c_root/binary_c/src -I/home/david/.local/include -I/home/david/projects/binary_c_root/binary_c/src\n",
- "\n",
- "\n",
- "Building shared library for custom logging with (binary_c.h) on david-Lenovo-IdeaPad-S340-14IWL\n",
- "\n",
- "Executing following command to compile the shared library:\n",
- "cc -fPIC -DALIGNSIZE=8 -std=gnu11 -fstrict-aliasing -Wstrict-aliasing -g -Wpedantic -Wshadow -Wno-variadic-macros -fstack-protector-all -rdynamic -march=native -mtune=native -fno-associative-math -fno-math-errno -ffinite-math-only -fno-rounding-math -fno-signaling-nans -fcx-limited-range -fexcess-precision=fast -fno-unsafe-math-optimizations -fno-finite-math-only -fsignaling-nans -fomit-frame-pointer -fasynchronous-unwind-tables -export-dynamic -O0 -DCPUFREQ=3900 -DBINUTILS_VERSION=2.30 -DOPERATING_SYSTEM=linux -DLINUX -DPOSIX -DLARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64 -D__HAVE_LINK_H -D__HAVE_GNU_QSORT_R -D__HAVE_NATIVE_EXP10 -D__HAVE_POSIX_FADVISE -DFPU_CONTROL -DGIT_REVISION=6101:20210807:c5232be5c -DGIT_URL=gitlab@gitlab.eps.surrey.ac.uk:ri0005/binary_c.git -DGIT_BRANCH=branch_david -D__HAVE_LIBC__ -D__HAVE_LIBGSL__ -I/usr/include -D__HAVE_LIBGSLCBLAS__ -D__HAVE_LIBDL__ -D__HAVE_LIBZ__ -D__HAVE_LIBPTHREAD__ -D__HAVE_LIBBACKTRACE__ -D__HAVE_LIBBSD__ -D__HAVE_LIBM__ -D__HAVE_LIBRINTERPOLATE__ -D__HAVE_IEEE754_H__ -D__HAVE_DRAND48__ -D__HAVE_HSEARCH_DATA__ -D__HAVE_MALLOC_H__ -D__HAVE_SETITIMER__ -D__HAVE_HAS_INCLUDE -D__HAVE_PKG_CONFIG__ -D__HAVE_VALGRIND__ -D__SHOW_STARDATA__ -D__DIFF_STARDATA__ -D__HAVE_7Z__ -D__HAVE_BZCAT__ -D__HAVE_ZCAT__ -O0 -shared -D_SEARCH_H -L/home/david/projects/binary_c_root/binary_c/src -L/usr/lib/x86_64-linux-gnu -L/home/david/.local/lib -L/home/david/projects/binary_c_root/binary_c/src -lc -lgsl -lgslcblas -lm -ldl -lz -lpthread -lbacktrace -lbsd -lrinterpolate -lbinary_c -o /tmp/binary_c_python/custom_logging/libcustom_logging_b72fad5ce31946a596fdf51470ae62cb.so /tmp/binary_c_python/custom_logging/custom_logging.c -I/home/david/projects/binary_c_root/binary_c -I/home/david/projects/binary_c_root/binary_c/src -I/home/david/.local/include -I/home/david/projects/binary_c_root/binary_c/src\n",
- "loading shared library for custom logging\n",
- "loaded shared library for custom logging. custom_output_function is loaded in memory at 140452086985980\n",
"Running binary_c M_1 10\n",
"Cleaning up the custom logging stuff. type: single\n",
- "Removed /tmp/binary_c_python/custom_logging/libcustom_logging_b72fad5ce31946a596fdf51470ae62cb.so\n",
- "EXAMPLE_MASSLOSS 0.000000000000e+00 10 0 10 1\n",
- "EXAMPLE_MASSLOSS 0.000000000000e+00 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 1.000000000000e-06 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 2.000000000000e-06 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 3.000000000000e-06 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 4.000000000000e-06 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 5.000000000000e-06 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 6.000000000000e-06 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 7.000000000000e-06 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 8.000000000000e-06 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 9.000000000000e-06 10 10 10 1\n",
- "EXAMPLE_MASSLOSS 2.428856587715e-01 9.99904 10 10 1\n",
- "EXAMPLE_MASSLOSS 4.858043386255e-01 9.99808 9.99904 10 1\n",
- "EXAMPLE_MASSLOSS 7.287653970196e-01 9.9971 9.99808 10 1\n",
- "EXAMPLE_MASSLOSS 9.717692053867e-01 9.99612 9.9971 10 1\n",
- "EXAMPLE_MASSLOSS 1.214816149403e+00 9.99513 9.99612 10 1\n",
- "EXAMPLE_MASSLOSS 1.457906629267e+00 9.99413 9.99513 10 1\n",
- "EXAMPLE_MASSLOSS 1.701041059992e+00 9.99312 9.99413 10 1\n",
- "EXAMPLE_MASSLOSS 1.944219871711e+00 9.9921 9.99312 10 1\n",
- "EXAMPLE_MASSLOSS 2.187443509995e+00 9.99107 9.9921 10 1\n",
- "EXAMPLE_MASSLOSS 2.430712436181e+00 9.99003 9.99107 10 1\n",
- "EXAMPLE_MASSLOSS 2.674027127722e+00 9.98897 9.99003 10 1\n",
- "EXAMPLE_MASSLOSS 2.917388078541e+00 9.98791 9.98897 10 1\n",
- "EXAMPLE_MASSLOSS 3.160795799407e+00 9.98684 9.98791 10 1\n",
- "EXAMPLE_MASSLOSS 3.404250818323e+00 9.98575 9.98684 10 1\n",
- "EXAMPLE_MASSLOSS 3.647753680927e+00 9.98465 9.98575 10 1\n",
- "EXAMPLE_MASSLOSS 3.891304950918e+00 9.98354 9.98465 10 1\n",
- "EXAMPLE_MASSLOSS 4.134905210484e+00 9.98242 9.98354 10 1\n",
- "EXAMPLE_MASSLOSS 4.378555060760e+00 9.98128 9.98242 10 1\n",
- "EXAMPLE_MASSLOSS 4.622255122292e+00 9.98013 9.98128 10 1\n",
- "EXAMPLE_MASSLOSS 4.866006035533e+00 9.97896 9.98013 10 1\n",
- "EXAMPLE_MASSLOSS 5.109808461340e+00 9.97778 9.97896 10 1\n",
- "EXAMPLE_MASSLOSS 5.353663081505e+00 9.97658 9.97778 10 1\n",
- "EXAMPLE_MASSLOSS 5.597570599296e+00 9.97537 9.97658 10 1\n",
- "EXAMPLE_MASSLOSS 5.841531740023e+00 9.97414 9.97537 10 1\n",
- "EXAMPLE_MASSLOSS 6.085547251623e+00 9.97289 9.97414 10 1\n",
- "EXAMPLE_MASSLOSS 6.329617905265e+00 9.97163 9.97289 10 1\n",
- "EXAMPLE_MASSLOSS 6.573744495981e+00 9.97034 9.97163 10 1\n",
- "EXAMPLE_MASSLOSS 6.817927843318e+00 9.96904 9.97034 10 1\n",
- "EXAMPLE_MASSLOSS 7.062168792011e+00 9.96772 9.96904 10 1\n",
- "EXAMPLE_MASSLOSS 7.306468212685e+00 9.96638 9.96772 10 1\n",
- "EXAMPLE_MASSLOSS 7.550827002578e+00 9.96503 9.96638 10 1\n",
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- "EXAMPLE_MASSLOSS 8.039726416572e+00 9.96224 9.96364 10 1\n",
- "EXAMPLE_MASSLOSS 8.284268975108e+00 9.96082 9.96224 10 1\n",
- "EXAMPLE_MASSLOSS 8.528874773371e+00 9.95937 9.96082 10 1\n",
- "EXAMPLE_MASSLOSS 8.773544853476e+00 9.9579 9.95937 10 1\n",
- "EXAMPLE_MASSLOSS 9.018280289073e+00 9.95641 9.9579 10 1\n",
- "EXAMPLE_MASSLOSS 9.263082186270e+00 9.95489 9.95641 10 1\n",
- "EXAMPLE_MASSLOSS 9.507951684592e+00 9.95334 9.95489 10 1\n",
- "EXAMPLE_MASSLOSS 9.752889957969e+00 9.95177 9.95334 10 1\n",
- "EXAMPLE_MASSLOSS 9.997898215756e+00 9.95017 9.95177 10 1\n",
- "EXAMPLE_MASSLOSS 1.024297770379e+01 9.94855 9.95017 10 1\n",
- "EXAMPLE_MASSLOSS 1.048812970548e+01 9.94689 9.94855 10 1\n",
- "EXAMPLE_MASSLOSS 1.073335554296e+01 9.94521 9.94689 10 1\n",
- "EXAMPLE_MASSLOSS 1.097865657819e+01 9.94349 9.94521 10 1\n",
- "EXAMPLE_MASSLOSS 1.122403421425e+01 9.94175 9.94349 10 1\n",
- "EXAMPLE_MASSLOSS 1.146948989649e+01 9.93997 9.94175 10 1\n",
- "EXAMPLE_MASSLOSS 1.171502511388e+01 9.93816 9.93997 10 1\n",
- "EXAMPLE_MASSLOSS 1.196064140027e+01 9.93631 9.93816 10 1\n",
- "EXAMPLE_MASSLOSS 1.220634033581e+01 9.93443 9.93631 10 1\n",
- "EXAMPLE_MASSLOSS 1.245212354829e+01 9.93251 9.93443 10 1\n",
- "EXAMPLE_MASSLOSS 1.269799271459e+01 9.93056 9.93251 10 1\n",
- "EXAMPLE_MASSLOSS 1.294394956219e+01 9.92856 9.93056 10 1\n",
- "EXAMPLE_MASSLOSS 1.318999587064e+01 9.92653 9.92856 10 1\n",
- "EXAMPLE_MASSLOSS 1.343613347310e+01 9.92446 9.92653 10 1\n",
- "EXAMPLE_MASSLOSS 1.368236425799e+01 9.92234 9.92446 10 1\n",
- "EXAMPLE_MASSLOSS 1.392869017053e+01 9.92018 9.92234 10 1\n",
- "EXAMPLE_MASSLOSS 1.417511321446e+01 9.91798 9.92018 10 1\n",
- "EXAMPLE_MASSLOSS 1.442163545365e+01 9.91573 9.91798 10 1\n",
- "EXAMPLE_MASSLOSS 1.466825901386e+01 9.91344 9.91573 10 1\n",
- "EXAMPLE_MASSLOSS 1.491498608445e+01 9.9111 9.91344 10 1\n",
- "EXAMPLE_MASSLOSS 1.516181892009e+01 9.9087 9.9111 10 1\n",
- "EXAMPLE_MASSLOSS 1.540875984257e+01 9.90626 9.9087 10 1\n",
- "EXAMPLE_MASSLOSS 1.565581124247e+01 9.90376 9.90626 10 1\n",
- "EXAMPLE_MASSLOSS 1.590297558101e+01 9.90121 9.90376 10 1\n",
- "EXAMPLE_MASSLOSS 1.615025539169e+01 9.89861 9.90121 10 1\n",
- "EXAMPLE_MASSLOSS 1.639765328203e+01 9.89595 9.89861 10 1\n",
- "EXAMPLE_MASSLOSS 1.664517193526e+01 9.89323 9.89595 10 1\n",
- "EXAMPLE_MASSLOSS 1.689281411189e+01 9.89045 9.89323 10 1\n",
- "EXAMPLE_MASSLOSS 1.714058265126e+01 9.88761 9.89045 10 1\n",
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- "EXAMPLE_MASSLOSS 2.749614308352e+01 9.34911 9.35085 10 4\n",
- "EXAMPLE_MASSLOSS 2.750353282491e+01 9.34737 9.34911 10 4\n",
- "EXAMPLE_MASSLOSS 2.751066447336e+01 9.34564 9.34737 10 4\n",
- "EXAMPLE_MASSLOSS 2.751755156133e+01 9.34392 9.34564 10 4\n",
- "EXAMPLE_MASSLOSS 2.752420677809e+01 9.34221 9.34392 10 4\n",
- "EXAMPLE_MASSLOSS 2.753064202123e+01 9.34051 9.34221 10 4\n",
- "EXAMPLE_MASSLOSS 2.753686844665e+01 9.33882 9.34051 10 4\n",
- "EXAMPLE_MASSLOSS 2.754289651640e+01 9.33713 9.33882 10 4\n",
- "EXAMPLE_MASSLOSS 2.754873604429e+01 9.33546 9.33713 10 4\n",
- "EXAMPLE_MASSLOSS 2.755439623911e+01 9.33379 9.33546 10 4\n",
- "EXAMPLE_MASSLOSS 2.755988574524e+01 9.33212 9.33379 10 4\n",
- "EXAMPLE_MASSLOSS 2.756521322337e+01 9.33047 9.33212 10 4\n",
- "EXAMPLE_MASSLOSS 2.757041220956e+01 9.32881 9.33047 10 4\n",
- "EXAMPLE_MASSLOSS 2.757557219801e+01 9.32712 9.32881 10 4\n",
- "EXAMPLE_MASSLOSS 2.758083548446e+01 9.32536 9.32712 10 4\n",
- "EXAMPLE_MASSLOSS 2.758640034503e+01 9.32345 9.32536 10 4\n",
- "EXAMPLE_MASSLOSS 2.759254335421e+01 9.32127 9.32345 10 4\n",
- "EXAMPLE_MASSLOSS 2.759967388758e+01 9.31867 9.32127 10 4\n",
- "EXAMPLE_MASSLOSS 2.760845020818e+01 9.31535 9.31867 10 4\n",
- "EXAMPLE_MASSLOSS 2.762003432669e+01 9.31077 9.31535 10 4\n",
- "EXAMPLE_MASSLOSS 2.763670660601e+01 9.30375 9.31077 10 5\n",
- "EXAMPLE_MASSLOSS 2.763861300623e+01 9.3028 9.30375 10 5\n",
- "EXAMPLE_MASSLOSS 2.764050034244e+01 9.30184 9.3028 10 5\n",
- "EXAMPLE_MASSLOSS 2.764236880530e+01 9.30087 9.30184 10 5\n",
- "EXAMPLE_MASSLOSS 2.764421858352e+01 9.29988 9.30087 10 5\n",
- "EXAMPLE_MASSLOSS 2.764604986396e+01 9.29889 9.29988 10 5\n",
- "EXAMPLE_MASSLOSS 2.764786283160e+01 9.29788 9.29889 10 5\n",
- "EXAMPLE_MASSLOSS 2.764965766956e+01 9.29685 9.29788 10 5\n",
- "EXAMPLE_MASSLOSS 2.765143455914e+01 9.29582 9.29685 10 5\n",
- "EXAMPLE_MASSLOSS 2.765319367983e+01 9.29477 9.29582 10 5\n",
- "EXAMPLE_MASSLOSS 2.765493520931e+01 9.2937 9.29477 10 5\n",
- "EXAMPLE_MASSLOSS 2.765665932350e+01 9.29263 9.2937 10 5\n",
- "EXAMPLE_MASSLOSS 2.765836619654e+01 9.29154 9.29263 10 5\n",
- "EXAMPLE_MASSLOSS 2.766005600085e+01 9.29043 9.29154 10 5\n",
- "EXAMPLE_MASSLOSS 2.766172890712e+01 9.28931 9.29043 10 5\n",
- "EXAMPLE_MASSLOSS 2.766338508433e+01 9.28818 9.28931 10 5\n",
- "EXAMPLE_MASSLOSS 2.766502469976e+01 9.28703 9.28818 10 5\n",
- "EXAMPLE_MASSLOSS 2.766664791904e+01 9.28587 9.28703 10 5\n",
- "EXAMPLE_MASSLOSS 2.766825490613e+01 9.28469 9.28587 10 5\n",
- "EXAMPLE_MASSLOSS 2.766984582335e+01 9.28349 9.28469 10 5\n",
- "EXAMPLE_MASSLOSS 2.767142083139e+01 9.28229 9.28349 10 5\n",
- "EXAMPLE_MASSLOSS 2.767298008935e+01 9.28106 9.28229 10 5\n",
- "EXAMPLE_MASSLOSS 2.767452375474e+01 9.27982 9.28106 10 5\n",
- "EXAMPLE_MASSLOSS 2.767605198347e+01 9.27856 9.27982 10 5\n",
- "EXAMPLE_MASSLOSS 2.767756492991e+01 9.27729 9.27856 10 5\n",
- "EXAMPLE_MASSLOSS 2.767906274689e+01 9.276 9.27729 10 5\n",
- "EXAMPLE_MASSLOSS 2.768054558570e+01 9.2747 9.276 10 5\n",
- "EXAMPLE_MASSLOSS 2.768201359612e+01 9.27337 9.2747 10 5\n",
- "EXAMPLE_MASSLOSS 2.768346692644e+01 9.27204 9.27337 10 5\n",
- "EXAMPLE_MASSLOSS 2.768490572345e+01 9.27068 9.27204 10 5\n",
- "EXAMPLE_MASSLOSS 2.768633013249e+01 9.26931 9.27068 10 5\n",
- "EXAMPLE_MASSLOSS 2.768774029745e+01 9.26792 9.26931 10 5\n",
- "EXAMPLE_MASSLOSS 2.768913636075e+01 9.26652 9.26792 10 5\n",
- "EXAMPLE_MASSLOSS 2.769051846342e+01 9.26509 9.26652 10 5\n",
- "EXAMPLE_MASSLOSS 2.769188674506e+01 9.26365 9.26509 10 5\n",
- "EXAMPLE_MASSLOSS 2.769324134389e+01 9.26219 9.26365 10 5\n",
- "EXAMPLE_MASSLOSS 2.769458239673e+01 9.26072 9.26219 10 5\n",
- "EXAMPLE_MASSLOSS 2.769591003904e+01 9.25922 9.26072 10 5\n",
- "EXAMPLE_MASSLOSS 2.769722440493e+01 9.25771 9.25922 10 5\n",
- "EXAMPLE_MASSLOSS 2.769852562716e+01 9.25618 9.25771 10 5\n",
- "EXAMPLE_MASSLOSS 2.769981383716e+01 9.25463 9.25618 10 5\n",
- "EXAMPLE_MASSLOSS 2.770108916507e+01 9.25305 9.25463 10 5\n",
- "EXAMPLE_MASSLOSS 2.770235173970e+01 9.25146 9.25305 10 5\n",
- "EXAMPLE_MASSLOSS 2.770360168858e+01 9.24985 9.25146 10 5\n",
- "EXAMPLE_MASSLOSS 2.770483913797e+01 9.24822 9.24985 10 5\n",
- "EXAMPLE_MASSLOSS 2.770606421287e+01 9.24657 9.24822 10 5\n",
- "EXAMPLE_MASSLOSS 2.770727703702e+01 9.2449 9.24657 10 5\n",
- "EXAMPLE_MASSLOSS 2.770847773292e+01 9.24321 9.2449 10 5\n",
- "EXAMPLE_MASSLOSS 2.770966642187e+01 9.2415 9.24321 10 5\n",
- "EXAMPLE_MASSLOSS 2.771084322393e+01 9.23976 9.2415 10 5\n",
- "EXAMPLE_MASSLOSS 2.771200825797e+01 9.23801 9.23976 10 5\n",
- "EXAMPLE_MASSLOSS 2.771316164167e+01 9.23623 9.23801 10 5\n",
- "EXAMPLE_MASSLOSS 2.771430349153e+01 9.23443 9.23623 10 5\n",
- "EXAMPLE_MASSLOSS 2.771543392289e+01 9.23261 9.23443 10 5\n",
- "EXAMPLE_MASSLOSS 2.771655304994e+01 9.23076 9.23261 10 5\n",
- "EXAMPLE_MASSLOSS 2.771766098572e+01 9.22889 9.23076 10 5\n",
- "EXAMPLE_MASSLOSS 2.771875784214e+01 9.227 9.22889 10 5\n",
- "EXAMPLE_MASSLOSS 2.771984373000e+01 9.22508 9.227 10 5\n",
- "EXAMPLE_MASSLOSS 2.772091875898e+01 9.22314 9.22508 10 5\n",
- "EXAMPLE_MASSLOSS 2.772198303766e+01 9.22117 9.22314 10 5\n",
- "EXAMPLE_MASSLOSS 2.772303667356e+01 9.21918 9.22117 10 5\n",
- "EXAMPLE_MASSLOSS 2.772407977311e+01 9.21716 9.21918 10 5\n",
- "EXAMPLE_MASSLOSS 2.772511244165e+01 9.21511 9.21716 10 5\n",
- "EXAMPLE_MASSLOSS 2.772613478351e+01 9.21304 9.21511 10 5\n",
- "EXAMPLE_MASSLOSS 2.772714690196e+01 9.21094 9.21304 10 5\n",
- "EXAMPLE_MASSLOSS 2.772814889922e+01 9.20882 9.21094 10 5\n",
- "EXAMPLE_MASSLOSS 2.772914087650e+01 9.20666 9.20882 10 5\n",
- "EXAMPLE_MASSLOSS 2.773012293401e+01 9.20448 9.20666 10 5\n",
- "EXAMPLE_MASSLOSS 2.773109517095e+01 9.20227 9.20448 10 5\n",
- "EXAMPLE_MASSLOSS 2.773205768552e+01 9.20003 9.20227 10 5\n",
- "EXAMPLE_MASSLOSS 2.773301057494e+01 9.19777 9.20003 10 5\n",
- "EXAMPLE_MASSLOSS 2.773395393547e+01 9.19547 9.19777 10 5\n",
- "EXAMPLE_MASSLOSS 2.773488786240e+01 9.19314 9.19547 10 5\n",
- "SINGLE_STAR_LIFETIME 10 27.7358\n",
- "EXAMPLE_MASSLOSS 2.773581245005e+01 1.33524 9.19314 10 13\n",
- "EXAMPLE_MASSLOSS 2.774581245005e+01 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 2.774581503201e+01 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 1.027745815032e+03 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 2.027745815032e+03 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 3.027745815032e+03 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 4.027745815032e+03 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 5.027745815032e+03 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 6.027745815032e+03 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 7.027745815032e+03 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 8.027745815032e+03 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 9.027745815032e+03 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 1.002774581503e+04 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 1.102774581503e+04 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 1.202774581503e+04 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 1.302774581503e+04 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 1.402774581503e+04 1.33524 1.33524 10 13\n",
- "EXAMPLE_MASSLOSS 1.500000000000e+04 1.33524 1.33524 10 13\n",
- "\n"
+ "Removed /tmp/binary_c_python/custom_logging/libcustom_logging_eac2dfc438a14e5a9f5be98b1b6b4294.so\n",
+ "['EXAMPLE_MASSLOSS 0.000000000000e+00 10 0 10 1', 'EXAMPLE_MASSLOSS 0.000000000000e+00 10 10 10 1', 'EXAMPLE_MASSLOSS 1.000000000000e-06 10 10 10 1', 'EXAMPLE_MASSLOSS 2.000000000000e-06 10 10 10 1']\n"
]
}
],
@@ -2431,7 +362,7 @@
"\n",
"# get output and print\n",
"output = example_pop.evolve_single()\n",
- "print(output)"
+ "print(output.splitlines()[:4])"
]
},
{
@@ -2446,7 +377,7 @@
},
{
"cell_type": "code",
- "execution_count": 155,
+ "execution_count": 14,
"id": "fec39154-cce6-438c-8c2c-509d76b00f34",
"metadata": {},
"outputs": [],
@@ -2497,7 +428,7 @@
},
{
"cell_type": "code",
- "execution_count": 160,
+ "execution_count": 15,
"id": "57347512-fd4a-434b-b13c-5e6dbd3ac415",
"metadata": {
"scrolled": true,
@@ -2508,31 +439,12 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "adding: parse_function=<function object_parse_function at 0x7fbd80b8ba60> to grid_options\n",
- "!! Key doesnt match previously known parameter: adding: output_dir=/tmp/ to custom_options\n",
+ "adding: parse_function=<function object_parse_function at 0x7f9265091598> to grid_options\n",
+ "<<<< Warning: Key does not match previously known parameter: adding: output_dir=/tmp/ to custom_options >>>>\n",
"Creating and loading custom logging functionality\n",
- "Creating the code for the shared library for the custom logging\n",
- "Removed /tmp/binary_c_python/custom_logging/custom_logging.c\n",
- "Writing the custom logging code to /tmp/binary_c_python/custom_logging/custom_logging.c\n",
- "File/directory /tmp/binary_c_python/custom_logging/libcustom_logging_b5166563ed644682b56cfd1091b45970.so doesn't exist. Can't remove it.\n",
- "Calling the binary_c config code to get the info to build the shared library\n",
- "Got options to compile:\n",
- "\tcc = cc\n",
- "\tccflags = -DALIGNSIZE=8 -std=gnu11 -fstrict-aliasing -Wstrict-aliasing -g -Wpedantic -Wshadow -Wno-variadic-macros -fstack-protector-all -rdynamic -march=native -mtune=native -fno-associative-math -fno-math-errno -ffinite-math-only -fno-rounding-math -fno-signaling-nans -fcx-limited-range -fexcess-precision=fast -fno-unsafe-math-optimizations -fno-finite-math-only -fsignaling-nans -fomit-frame-pointer -fasynchronous-unwind-tables -export-dynamic -O0 -DCPUFREQ=3900 -DBINUTILS_VERSION=2.30 -DOPERATING_SYSTEM=linux -DLINUX -DPOSIX -DLARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64 -D__HAVE_LINK_H -D__HAVE_GNU_QSORT_R -D__HAVE_NATIVE_EXP10 -D__HAVE_POSIX_FADVISE -DFPU_CONTROL -DGIT_REVISION=6101:20210807:c5232be5c -DGIT_URL=gitlab@gitlab.eps.surrey.ac.uk:ri0005/binary_c.git -DGIT_BRANCH=branch_david -D__HAVE_LIBC__ -D__HAVE_LIBGSL__ -I/usr/include -D__HAVE_LIBGSLCBLAS__ -D__HAVE_LIBDL__ -D__HAVE_LIBZ__ -D__HAVE_LIBPTHREAD__ -D__HAVE_LIBBACKTRACE__ -D__HAVE_LIBBSD__ -D__HAVE_LIBM__ -D__HAVE_LIBRINTERPOLATE__ -D__HAVE_IEEE754_H__ -D__HAVE_DRAND48__ -D__HAVE_HSEARCH_DATA__ -D__HAVE_MALLOC_H__ -D__HAVE_SETITIMER__ -D__HAVE_HAS_INCLUDE -D__HAVE_PKG_CONFIG__ -D__HAVE_VALGRIND__ -D__SHOW_STARDATA__ -D__DIFF_STARDATA__ -D__HAVE_7Z__ -D__HAVE_BZCAT__ -D__HAVE_ZCAT__ -O0 -shared -D_SEARCH_H\n",
- "\tld = ld\n",
- "\tlibs = -L/home/david/projects/binary_c_root/binary_c/src -L/usr/lib/x86_64-linux-gnu -L/home/david/.local/lib -L/home/david/projects/binary_c_root/binary_c/src -lc -lgsl -lgslcblas -lm -ldl -lz -lpthread -lbacktrace -lbsd -lrinterpolate -lbinary_c\n",
- "\tinc = -I/home/david/projects/binary_c_root/binary_c -I/home/david/projects/binary_c_root/binary_c/src -I/home/david/.local/include -I/home/david/projects/binary_c_root/binary_c/src\n",
- "\n",
- "\n",
- "Building shared library for custom logging with (binary_c.h) on david-Lenovo-IdeaPad-S340-14IWL\n",
- "\n",
- "Executing following command to compile the shared library:\n",
- "cc -fPIC -DALIGNSIZE=8 -std=gnu11 -fstrict-aliasing -Wstrict-aliasing -g -Wpedantic -Wshadow -Wno-variadic-macros -fstack-protector-all -rdynamic -march=native -mtune=native -fno-associative-math -fno-math-errno -ffinite-math-only -fno-rounding-math -fno-signaling-nans -fcx-limited-range -fexcess-precision=fast -fno-unsafe-math-optimizations -fno-finite-math-only -fsignaling-nans -fomit-frame-pointer -fasynchronous-unwind-tables -export-dynamic -O0 -DCPUFREQ=3900 -DBINUTILS_VERSION=2.30 -DOPERATING_SYSTEM=linux -DLINUX -DPOSIX -DLARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64 -D__HAVE_LINK_H -D__HAVE_GNU_QSORT_R -D__HAVE_NATIVE_EXP10 -D__HAVE_POSIX_FADVISE -DFPU_CONTROL -DGIT_REVISION=6101:20210807:c5232be5c -DGIT_URL=gitlab@gitlab.eps.surrey.ac.uk:ri0005/binary_c.git -DGIT_BRANCH=branch_david -D__HAVE_LIBC__ -D__HAVE_LIBGSL__ -I/usr/include -D__HAVE_LIBGSLCBLAS__ -D__HAVE_LIBDL__ -D__HAVE_LIBZ__ -D__HAVE_LIBPTHREAD__ -D__HAVE_LIBBACKTRACE__ -D__HAVE_LIBBSD__ -D__HAVE_LIBM__ -D__HAVE_LIBRINTERPOLATE__ -D__HAVE_IEEE754_H__ -D__HAVE_DRAND48__ -D__HAVE_HSEARCH_DATA__ -D__HAVE_MALLOC_H__ -D__HAVE_SETITIMER__ -D__HAVE_HAS_INCLUDE -D__HAVE_PKG_CONFIG__ -D__HAVE_VALGRIND__ -D__SHOW_STARDATA__ -D__DIFF_STARDATA__ -D__HAVE_7Z__ -D__HAVE_BZCAT__ -D__HAVE_ZCAT__ -O0 -shared -D_SEARCH_H -L/home/david/projects/binary_c_root/binary_c/src -L/usr/lib/x86_64-linux-gnu -L/home/david/.local/lib -L/home/david/projects/binary_c_root/binary_c/src -lc -lgsl -lgslcblas -lm -ldl -lz -lpthread -lbacktrace -lbsd -lrinterpolate -lbinary_c -o /tmp/binary_c_python/custom_logging/libcustom_logging_b5166563ed644682b56cfd1091b45970.so /tmp/binary_c_python/custom_logging/custom_logging.c -I/home/david/projects/binary_c_root/binary_c -I/home/david/projects/binary_c_root/binary_c/src -I/home/david/.local/include -I/home/david/projects/binary_c_root/binary_c/src\n",
- "loading shared library for custom logging\n",
- "loaded shared library for custom logging. custom_output_function is loaded in memory at 140451845629180\n",
"Running binary_c M_1 10\n",
"Cleaning up the custom logging stuff. type: single\n",
- "Removed /tmp/binary_c_python/custom_logging/libcustom_logging_b5166563ed644682b56cfd1091b45970.so\n",
+ "Removed /tmp/binary_c_python/custom_logging/libcustom_logging_e9c2bec7f15541eb847fc6013e48e7ed.so\n",
"[['time', 'mass', 'initial_mass', 'stellar_type'], [0.0, 10.0, 0.0, 10.0, 1.0], [0.0, 10.0, 10.0, 10.0, 1.0], [1e-06, 10.0, 10.0, 10.0, 1.0]]\n",
"dict_keys(['time', 'mass', 'initial_mass', 'stellar_type'])\n"
]
@@ -2576,7 +488,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 16,
"id": "ec48125c-6bf5-48f4-9357-8261800b5d8b",
"metadata": {},
"outputs": [
@@ -2625,84 +537,6 @@
"source": [
"As we can see above, the output is rather empty. But if SINGLE_STAR_LIFETIME is printed we know we caught the output correctly. To get actual output we should have timesteps printed in the `log_every_timestep.c` in binary_c, or add some custom_logging (see notebook_custom_logging). "
]
- },
- {
- "cell_type": "markdown",
- "id": "cb305354-6033-4270-bba7-e07555ce1e95",
- "metadata": {},
- "source": [
- "# Example of handling the data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "id": "d663bc6e-a15f-4274-8617-61afb0f69fde",
- "metadata": {},
- "outputs": [],
- "source": [
- "def run_example_binary_with_run_system():\n",
- " \"\"\"\n",
- " This function serves as an example on the function run_system and parse_output.\n",
- " There is more functionality with this method and several tasks are done behind the scene.\n",
- "\n",
- " Requires pandas, numpy to run.\n",
- "\n",
- " run_system: mostly just makes passing arguments to the function easier. It also loads all the necessary defaults in the background\n",
- " parse_output: Takes the raw output of binary_c and selects those lines that start with the given header.\n",
- " Note, if you dont use the custom_logging functionality binary_c should be configured to have output that starts with that given header\n",
- "\n",
- " 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.\n",
- " \"\"\"\n",
- "\n",
- " import pandas as pd\n",
- " import numpy as np\n",
- "\n",
- " # Run system. all arguments can be given as optional arguments.\n",
- " output = run_system(M_1=10, M_2=20, separation=0, orbital_period=100000000000)\n",
- "\n",
- " # print(output)\n",
- "\n",
- " # 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)\n",
- " result_example_header_1 = example_parse_output(\n",
- " output, selected_header=\"example_header_1\"\n",
- " )\n",
- " result_example_header_2 = example_parse_output(\n",
- " output, selected_header=\"example_header_2\"\n",
- " )\n",
- "\n",
- " # print(result_example_header_1)\n",
- "\n",
- " #### Now do whatever you want with it:\n",
- " # Put it in numpy arrays\n",
- " # t_res = np.asarray(result_example_header['t'], dtype=np.float64, order='C')\n",
- " # m_res = np.asarray(result_example_header['mass'], dtype=np.float64, order='C')\n",
- "\n",
- " # Or put them into a pandas array\n",
- "\n",
- " # Cast the data into a dataframe.\n",
- " # This example automatically catches the column names because the binary_c output line is constructed as 'example_header_1 time=<number>..'\n",
- " print(result_example_header_1)\n",
- " df = pd.DataFrame.from_dict(result_example_header_1, dtype=np.float64)\n",
- " print(df)\n",
- "\n",
- " # This example has column headers which are numbered, but we can override that with custom headers.\n",
- " df2 = pd.DataFrame.from_dict(result_example_header_2, dtype=np.float64)\n",
- " df2.columns = [\"time\", \"mass_1\", \"mass_2\", \"st1\", \"st2\", \"sep\", \"ecc\"]\n",
- " print(df2)\n",
- "\n",
- " # print(df)\n",
- " # sliced_df = df[df.t < 1000] # Cut off late parts of evolution\n",
- " # print(sliced_df[[\"t\",\"m1\"]])\n",
- "\n",
- " # Some routine to plot.\n",
- "\n",
- "\n",
- "# run_example_binary_with_run_system()\n",
- "\n",
- "\n",
- "\n"
- ]
}
],
"metadata": {