libyt Python Module

Import libyt Python Module

import libyt

libyt Python module is only importable during simulation runtime.

Dictionaries

libyt_info

Key	Value	Loaded by libyt API	Notes
libyt_info["version"]	(major, minor, micro)	yt_initialize	- libyt version.
libyt_info["SERIAL_MODE"]	True/False	yt_initialize	- Compile with -DSERIAL_MODE or not
libyt_info["INTERACTIVE_MODE"]	True/False	yt_initialize	- Compile with -DINTERACTIVE_MODE or not
libyt_info["JUPYTER_KERNEL"]	True/False	yt_initialize	- Compile with -DJUPYTER_KERNELF or not
libyt_info["SUPPORT_TIMER"]	True/False	yt_initialize	- Compile with -DSUPPORT_TIMER or not

param_yt

Key	Value	Loaded by libyt API	Notes
param_yt["frontend"]	frontend	yt_set_Parameters
param_yt["fig_basename"]	fig_basename	yt_set_Parameters
param_yt["current_time"]	current_time	yt_set_Parameters
param_yt["current_redshift"]	current_redshift	yt_set_Parameters
param_yt["omega_lambda"]	omega_lambda	yt_set_Parameters
param_yt["omega_matter"]	omega_matter	yt_set_Parameters
param_yt["hubble_constant"]	hubble_constant	yt_set_Parameters
param_yt["length_unit"]	length_unit	yt_set_Parameters
param_yt["mass_unit"]	mass_unit	yt_set_Parameters
param_yt["time_unit"]	time_unit	yt_set_Parameters
param_yt["velocity_unit"]	velocity_unit	yt_set_Parameters
param_yt["magnetic_unit"]	magnetic_unit	yt_set_Parameters	- Will be set to 1, if it’s not set.
param_yt["cosmological_simulation"]	cosmological_simulation	yt_set_Parameters
param_yt["dimensionality"]	dimensionality	yt_set_Parameters
param_yt["refine_by"]	refine_by	yt_set_Parameters
param_yt["index_offset"]	index_offset	yt_set_Parameters	- Default value is 0.
param_yt["num_grids"]	num_grids	yt_set_Parameters
param_yt["domain_left_edge"]	domain_left_edge	yt_set_Parameters
param_yt["domain_right_edge"]	domain_right_edge	yt_set_Parameters
param_yt["periodicity"]	periodicity	yt_set_Parameters
param_yt["domain_dimensions"]	domain_dimensions	yt_set_Parameters

• Usage: Contain yt parameters. The values correspond to data members in yt_param_yt.

param_user

Key	Value	Loaded by libyt API	Notes
param_user[key]	input	yt_set_UserParameter*

• Usage: A series of key-value pairs set through yt_set_UserParameter*. The pairs will also be added as new attributes if yt_libyt is imported.

hierarchy

Key	Value	Loaded by libyt API	Notes
hierarchy["grid_left_edge"][id]	left_edge	yt_commit
hierarchy["grid_right_edge"][id]	right_edge	yt_commit
hierarchy["grid_dimensions"][id]	grid_dimensions	yt_commit
hierarchy["par_count_list"][id][par_idex]	par_count_list	yt_commit	par_index corresponds to particle type order in yt_get_ParticlesPtr.
hierarchy["grid_parent_id"][id]	parent_id	yt_commit
hierarchy["grid_levels"][id]	level	yt_commit
hierarchy["proc_num"][id]	proc_num	yt_commit

• Usage: Contain AMR grid hierarchy. The values and id are corresponding to data members in yt_grid.

grid_data

Key	Value	Loaded by libyt API	Notes
grid_data[id][fname]	Field data	yt_commit	fname is field name set in yt_get_FieldsPtr.

• Usage: It only contains data in local process. The value corresponds to data member field_data.

particle_data

Key	Value	Loaded by libyt API	Notes
particle_data[id][ptype][attr]	Particle data	yt_commit	ptype and attr are particle type and attribute set in yt_get_ParticlesPtr.

• Usage: It only contains data in local process. The value corresponds to data member particle_data in yt_grid.

grid_data and particle_data is read-only. They contain the actual simulation data.

Methods

derived_func

derived_func(gid : int, 
             fname : str) -> numpy.ndarray

• Usage: Return derived field data fname in grid id gid generated by user-defined C function (See Derived Field). It is a local process and does not require other processes to join.

get_particle

get_particle(gid : int, 
             ptype : str, 
             attr : str) -> numpy.ndarray

• Usage: Return particle ptype attribute attr data in grid id gid generated by user-defined C function (See Get Particle Attribute Function). It is a local process and does not require other processes to join.

get_field_remote

get_field_remote(fname_list : list, 
                 fname_list_len : int, 
                 prepare_list : list, 
                 prepare_list_len : int, 
                 fetch_gid_list : list, 
                 fetch_process_list : list, 
                 fetch_gid_list_len : int) -> dict

• Usage: Return a dictionary that contains requested field data. The data is scattered in different processes. It is a collective operation.

This is a collective operation, and it requires every MPI process to participate.

get_particle_remote

get_particle_remote(par_dict : dict, 
                    par_dict : dict_keys, 
                    prepare_list : list, 
                    prepare_list_len : int, 
                    fetch_gid_list : list, 
                    fetch_process_list : list, 
                    fetch_gid_list_len : int) -> dict

• Usage: Return a dictionary that contains requested particle data. The data is scattered in different processes. It is a collective operation.

This is a collective operation, and it requires every MPI process to participate.

get_field_remote and get_particle_remote may be hard to use in general case, since we have to prepare those list by ourselves. We will improve this and make it general in the future.