# Exporting of all the settings can be done with .export_all_info()
# on default it exports everything, but can be supressed by turning it off:
# population settings (bse_options, grid_options, custom_options), turn off with include_population_settings=False
# binary_c_defaults (all the commandline arguments that binary c accepts, and their defaults). turn off with include_binary_c_defaults=False
# include_binary_c_version_info (all the compilation info, and information about the compiled parameters), turn off with include_binary_c_version_info=False
# include_binary_c_help_all (all the help information for all the binary_c parameters), turn off with include_binary_c_help_all=Fase
# On default it will write this to the custom_options['data_dir'], but that can be overriden by setting use_datadir=False and providing an outfile=<>
# population settings (bse_options, grid_options, custom_options), turn off with include_population
# settings=False
# binary_c_defaults (all the commandline arguments that binary c accepts, and their defaults).
# turn off with include_binary_c_defaults=False
# include_binary_c_version_info (all the compilation info, and information about the compiled
# parameters), turn off with include_binary_c_version_info=False
# include_binary_c_help_all (all the help information for all the binary_c parameters),
# turn off with include_binary_c_help_all=Fase
# On default it will write this to the custom_options['data_dir'], but that can be overriden by
# setting use_datadir=False and providing an outfile=<>
example_pop.export_all_info()
# Creating a parsing function
...
...
@@ -154,7 +159,8 @@ print(output)
## This uses the values generated by the grid_variables
# example_pop.evolve_population_mp_chunks() # TODO: update this function call
# Wrapping up the results to an hdf5 file can be done by using the create_hdf5(<directory containing data and settings>)
# This function takes the settings file (ending in _settings.json) and the data files (ending in .dat) from the data_dir
# Wrapping up the results to an hdf5 file can be done by using the create_hdf5
# (<directory containing data and settings>) This function takes the settings file
# (ending in _settings.json) and the data files (ending in .dat) from the data_dir
# and packing them into an hdf5 file, which is then written into the same data_dir directory
