Source code for src.config

# -*- coding: utf-8 -*-

.. note::

    *phyem* is ready by itself with default global parameters. You can direct initialize a simulation with these
    default global parameters.

If you want to customize global parameters, you can do use following functions:

    .. autofunction:: set_embedding_space_dim

    .. autofunction:: set_high_accuracy

    .. autofunction:: set_pr_cache

For example,

>>> ph.config.set_embedding_space_dim(2)
>>> ph.config.set_high_accuracy(True)
>>> ph.config.set_pr_cache(False)

These commands set the embedding space to be 2-dimensional, ask *phyem* to have a high accuracy and not
to use *pr* cache (or to present *pr* outputs in real time). These parameters are same to the default values; they have
no effects (thus we preferably omit them).


_global_variables = {
    'embedding_space_dim': 2,      # default embedding_space_dim is 2.
    'zero_entry_threshold': 1e-12  # set to be zero when it is lower than this

# MPI setting
    from mpi4py import MPI
    RANK: int = COMM.Get_rank()
    SIZE: int = COMM.Get_size()
except ModuleNotFoundError:  # no `mpi4py` installed.
    COMM = None
    RANK = 0
    SIZE: int = 1

MASTER_RANK: int = 0  # DO NOT change this

_setting = {
    "block": True,   # matplot block
    "cache_folder": '__phcache__',  # the default cache folder name
    "pr_cache": False,   # if this is True, all pr will save to the cache folder and will not show()
    "pr_cache_maximum": 3,  # We clean toward this number when it is more than twice
    "pr_cache_counter": 0,  # we have cache how many times?
    "pr_cache_subfolder": '',  # we cache where in particular?
    "pr_cache_folder_prefix": 'Pr_',  # we cache where in particular?
    "pr_cache_current_folder": 'current',  # we cache where in particular?
    "high_accuracy": True,  # influence sparsity of some matrices.

[docs] def set_embedding_space_dim(ndim): """To set the dimensions of the space where our simulation problem is defined, i.e., the embedding space. The default dimensions are 2. Parameters ---------- ndim : {1, 2, 3} *phyem* can only simulate problems in 1-, 2- or 3-d space. """ assert ndim % 1 == 0 and ndim > 0, f"ndim={ndim} is wrong, it must be a positive integer." _global_variables['embedding_space_dim'] = ndim _clear_all() # whenever we change or reset the space dim, we clear all abstract objects. _clear_pr_cache()
[docs] def set_high_accuracy(_bool): """*phyem* may trade for higher accuracy in the cost of losing a little performance. Turn this feature on or off through this function. The default value is ``True``. For example, *phyem* can use numerical quadrature of a higher degree (thus of higher accuracy) to compute the mass matrices, which could decrease the sparsity and sequentially slow down the assembling and solving processes slightly. Parameters ---------- _bool : bool If ``_bool`` is ``True``, *phyem* occasionally has a higher accuracy. The real effect depends on the problem you are solving. """ assert isinstance(_bool, bool), f"give me True or False" _setting['high_accuracy'] = _bool
[docs] def set_pr_cache(_bool): """ The abbreviation `pr` stands for `print representation`. Many classes in *phyem* have the ``pr`` method. Calling it of an instance by ``.pr()`` will usually invoke the ``matplotlib`` and ``LaTeX`` pakages to render a picture which proper illustrates the instance. By turning the *pr* cache on, all outputs resulting from ``pr`` methods will be saved to ``./__phcache__/Pr_current/`` instead of being shown in real time. The default value is ``False``. Parameters ---------- _bool : bool If ``_bool`` is ``True``, all outputs resulting from ``pr`` methods will be saved to ``./__phcache__/Pr_current/``. """ assert isinstance(_bool, bool), f"give me True or False" _setting['pr_cache'] = _bool
def _pr_cache(fig, filename=None): """ Parameters ---------- fig filename : The filename received from particular pr method. It will be put into the final filename. Returns ------- """ if RANK != MASTER_RANK: return else: pass from tools.os_ import mkdir, empty_dir, isdir phcache_folder = _setting[r'cache_folder'] if isdir(phcache_folder): pass else: mkdir(phcache_folder) from time import time from tools.miscellaneous.random_ import string_digits import matplotlib.pyplot as plt import matplotlib matplotlib.use('TkAgg') if filename is None: filename_personal = rf'/{_setting["pr_cache_counter"]}.png' else: filename_personal = rf'/{_setting["pr_cache_counter"]}_{filename}.png' if _setting["pr_cache_counter"] == 0: str_time = str(time()).split('.')[0] subfolder_name = ( phcache_folder + r"/" + _setting["pr_cache_folder_prefix"] + str_time + '_' + string_digits(12) # how we name the random folder ) _setting["pr_cache_subfolder"] = subfolder_name mkdir(subfolder_name) else: subfolder_name = _setting["pr_cache_subfolder"] assert subfolder_name != '', f"something is wrong!" plt.savefig(subfolder_name + filename_personal, bbox_inches='tight', dpi=200) folder_current = ( phcache_folder + '/' + _setting["pr_cache_folder_prefix"] + _setting["pr_cache_current_folder"] ) if _setting["pr_cache_counter"] == 0: mkdir(folder_current) # do nothing if the folder exists empty_dir(folder_current) # remove old files if there is any. else: pass plt.savefig(folder_current + filename_personal, bbox_inches='tight', dpi=200) _setting["pr_cache_counter"] += 1 plt.close(fig) def _set_matplot_block(block): """""" _setting['block'] = block def _clear_pr_cache(): """""" _setting["pr_cache_counter"] = 0 # reset cache counting _setting["pr_cache_subfolder"] = '' # clean cache_subfolder if RANK == MASTER_RANK: from tools.os_ import listdir, isdir, mkdir, rmdir, empty_dir phcache_folder = _setting[r'cache_folder'] if isdir(phcache_folder): pass else: mkdir(phcache_folder) all_ph_cache_files = listdir(phcache_folder) # including folder names. pr_prefix = _setting['pr_cache_folder_prefix'] current_file = _setting["pr_cache_folder_prefix"] + _setting["pr_cache_current_folder"] len_prefix = len(pr_prefix) number_pr_files = 0 # excluding the current file pr_files = list() # excluding the current file for cache_file in all_ph_cache_files: if cache_file[:len_prefix] == pr_prefix and cache_file != current_file: number_pr_files += 1 pr_files.append(cache_file) else: pass pr_cache_maximum = _setting["pr_cache_maximum"] assert pr_cache_maximum > 1 and pr_cache_maximum % 1 == 0, \ f"_setting['pr_cache_maximum'] = {pr_cache_maximum} is illegal, give me a positive integer (>1)." if number_pr_files >= 2 * pr_cache_maximum: files_2b_clean = pr_files[:pr_cache_maximum + 1] for file in files_2b_clean: empty_dir(phcache_folder + r"/" + file) rmdir(phcache_folder + r"/" + file) else: pass else: pass def _clear_all(): """clear all abstract objects. Make sure that, when we add new global cache, put it here. """ from src.algebra.array import _global_root_arrays from src.algebra.nonlinear_operator import _global_nop_arrays from src.form.main import _global_forms from src.form.main import _global_root_forms_lin_dict _clear_a_dict(_global_root_arrays) _clear_a_dict(_global_nop_arrays) _clear_a_dict(_global_forms) _clear_a_dict(_global_root_forms_lin_dict) from src.form.parameters import _global_root_constant_scalars _clear_a_dict(_global_root_constant_scalars) from src.form.main import _global_form_variables _global_form_variables['update_cache'] = True from src.manifold import _global_manifolds _clear_a_dict(_global_manifolds) from src.mesh import _global_meshes _clear_a_dict(_global_meshes) from src.time_sequence import _global_abstract_time_sequence from src.time_sequence import _global_abstract_time_interval _clear_a_dict(_global_abstract_time_sequence) _clear_a_dict(_global_abstract_time_interval) from src.spaces.main import _config _config['current_mesh'] = '' from src.spaces.main import _degree_cache from src.spaces.main import _space_set from src.spaces.main import _mesh_set _clear_a_dict(_degree_cache) _clear_a_dict(_space_set) _clear_a_dict(_mesh_set) from import _global_wf_terms _clear_a_dict(_global_wf_terms) def _clear_a_dict(the_dict): """""" keys = list(the_dict.keys()) for key in keys: del the_dict[key] def get_embedding_space_dim(): """""" return _global_variables['embedding_space_dim'] # lib setting config ............... _abstract_time_sequence_default_lin_repr = 'Ts' _manifold_default_lin_repr = 'Manifold' _mesh_default_lin_repr = 'Mesh' _global_lin_repr_setting = { # objects 'manifold': [r'\underline{', '}'], 'mesh': [r'\textrm{', r'}'], 'form': [r'\textsf{', r'}'], 'scalar_parameter': [r'\textsc{', r'}'], 'abstract_time_sequence': [r'\textit{', r'}'], 'abstract_time_interval': [r'\texttt{', r'}'], # do not use `textsc`. 'abstract_time_instant': [r'\textsl{', r'}'], 'array': [r'\textbf{', r'}'], 'multidimensional_array': [r'\textlf{', r'}'], 'TermNonLinearAlgebraicProxy': [r'\textmd{', r'}'], } def _parse_lin_repr(obj, pure_lin_repr): """""" assert isinstance(pure_lin_repr, str) and len(pure_lin_repr) > 0, \ f"linguistic_representation must be str of length > 0." assert all([_ not in r"{$\}" for _ in pure_lin_repr]), ( f"pure_lin_repr={pure_lin_repr} illegal, cannot contain" + r"'{\}'.") start, end = _global_lin_repr_setting[obj] return start + pure_lin_repr + end, pure_lin_repr def _parse_type_and_pure_lin_repr(lin_repr): """""" for what in _global_lin_repr_setting: key = _global_lin_repr_setting[what][0] lk = len(key) if lin_repr[:lk] == key: return what, lin_repr[lk:-1] _manifold_default_sym_repr = r'\mathcal{M}' _mesh_default_sym_repr = r'\mathfrak{M}' _abstract_time_sequence_default_sym_repr = r'\mathtt{T}^S' _abstract_time_interval_default_sym_repr = r'\Delta t' _mesh_partition_sym_repr = [r"\partial\mathfrak{M}\left(", r"\right)"] _mesh_partition_lin_repr = r"mesh-over: " _manifold_partition_lin_repr = "=sub" def _check_sym_repr(sym_repr): # not used for forms as they have their own checker. """""" assert isinstance(sym_repr, str), f"sym_repr = {sym_repr} illegal, must be a string." pure_sym_repr = sym_repr.replace(' ', '') assert len(pure_sym_repr) > 0, f"sym_repr={sym_repr} illegal, it cannot be empty." return sym_repr _form_evaluate_at_repr_setting = { 'sym': [r"\left.", r"\right|^{(", ")}"], 'lin': "@", } _root_form_ap_vec_setting = { 'sym': [r"\vec{", r"}"], 'lin': "+vec" } _transpose_text = '-transpose' _abstract_array_factor_sep = r'\{*\}' _abstract_array_connector = r'\{@\}' _global_operator_lin_repr_setting = { # coded operators 'plus': r" $+$ ", 'minus': r" $-$ ", 'wedge': r" $\wedge$ ", 'Hodge': r'$\star$ ', 'd': r'$\mathrm{d}$ ', 'codifferential': r'$\mathrm{d}^{\ast}$ ', 'time_derivative': r'$\partial_{t}$ ', 'trace': r'\emph{tr} ', 'L2-inner-product': [r"$($", r'\emph{,} ', r"$)$ \emph{over} "], 'duality-pairing': [r"$<$", r'\emph{,} ', r"$>$ \emph{over} "], 'division': r' \emph{divided by} ', 'multiply': r' \emph{multiply} ', 'cross_product': r"$\times$", 'tensor_product': r"$\otimes$", 'projection': r'$\pi$ ' } _non_root_lin_sep = [r'\{', r'\}'] _global_operator_sym_repr_setting = { # coded operators 'plus': r"+", 'minus': r"-", 'wedge': r"{\wedge}", 'Hodge': r'{\star}', 'd': r'\mathrm{d}', 'codifferential': r'\mathrm{d}^{\ast}', 'time_derivative': r'\partial_{t}', 'trace': r'\mathrm{tr}', 'division': [r'\frac{', r'}{', r"}"], 'cross_product': r"{\times}", 'tensor_product': r"{\otimes}", 'projection': r'{\pi}' } _wf_term_default_simple_patterns = { # use only str to represent a simple pattern. # indicator : simple pattern '(pt,)': '(partial_t rf, f)', # (partial_time_derivative of root-sf, sf) '(cd,)': '(codifferential f, f)', # below, we have simple patterns only for root-sf. '(rt,rt)': '(rf, rf)', '(d,)': '(d rf, rf)', '<d,>': '<d rf, dual-rf>', '(,d)': '(rf, d rf)', '<,d>': '<dual-rf, d rf>', '(d,d)': '(d rf, d rf)', '(<db>,d<b>)': '(root-diagonal-bf, d root-bf)', '<tr star | tr >': '<tr star rf | trace rf>', '(,d-pi)': '(rf, d(pi(rf)))', '(*x*,)': r'(krf $\times$ krf, rf)', # vector '(*x,)': r'(krf $\times$ rf, rf)', '(x*,)': r'(rf $\times$ krf, rf)', '(*x,d)': r"(krf $\times$ rf, d rf)", '(x*,d)': r"(rf $\times$ krf, d rf)", '(*x*,d)': r"(krf $\times$ krf, d rf)", # vector '(x,)': r'(rf $\times$ rf, rf)', # nonlinear term. '(d0*,0*tp)': r'(d krf-0, krf-0 $\otimes$ rf)', '(d0*,tp0*)': r'(d krf-0, rf $\otimes$ krf-0)', '(d,0*tp0*)': r'(d rf, krf-0 $\otimes$ krf-0)', '(d,tp):1K': r'(d rf, rf $\otimes$ rf):1K', '(d,tp):2K': r'(d rf, rf $\otimes$ rf):2K', '(d,tp)': r'(d rf, rf $\otimes$ rf)', '(,tp):1K': r'(rf, rf $\otimes$ rf):1K', '(,tp):2K': r'(rf, rf $\otimes$ rf):2K', '(,tp)': r'(rf, rf $\otimes$ rf)', } _pde_test_form_lin_repr = 'th-test-form' _nonlinear_ap_test_form_repr = { 'sym': r' \wr ', 'lin': ' >=~=< ', }