def init(self) -> SimPhase:
'''
Initialize this simulation with the cell cluster seeded by a prior call
to the :meth:`seed` method and cache this initialization to an output
file, specified by the current configuration file.
This method *must* be called prior to the :meth:`sim` and
:meth:`plot_init` methods, which consume this output as input.
Returns
----------
SimPhase
High-level simulation phase instance encapsulating all objects
internally created by this method to run this phase.
'''
# Log this attempt.
logs.log_info('Initializing simulation...')
# Simulation phase type.
phase_kind = SimPhaseKind.INIT
if not files.is_file(self._p.seed_pickle_filename):
if not self._p.autoInit:
#FIXME: Call the _die_unless_file_pickled() function instead
#both here and everywhere else we perform similar logic. Bugbears!
raise BetseSimException(
'Initialization halted due to missing seed. '
'Please run "betse seed" and try again.')
# Create an instance of world.
logs.log_info('Automatically seeding cell cluster...')
self.seed()
logs.log_info('Now using seed to run initialization.')
# Load the seed from cache.
cells, p_old = fh.loadWorld(self._p.seed_pickle_filename)
logs.log_info('Cell cluster loaded.')
# check to ensure compatibility between original and present sim files:
self._die_if_seed_differs(p_old, self._p)
# Simulation phase, created *AFTER* unpickling these objects above.
phase = SimPhase(
kind=phase_kind,
cells=cells,
p=self._p,
callbacks=self._callbacks,
)
# Initialize core simulation data structures.
phase.sim.init_core(phase)
# Run this simulation phase.
phase.sim.sim_info_report(phase)
phase.sim.run_sim_core(phase)
# Return this phase.
return phase
def sim(self) -> SimPhase:
'''
Simulate this simulation with the cell cluster initialized by a prior
call to the :meth:`init` method and cache this simulation to an output
file, specified by the current configuration file.
This method *must* be called prior to the :meth:`:meth:`plot_sim`
method, which consumes this output as input.
Returns
----------
SimPhase
High-level simulation phase instance encapsulating all objects
internally created by this method to run this phase.
'''
# Log this attempt.
logs.log_info('Running simulation...')
# Simulation phase type.
phase_kind = SimPhaseKind.SIM
if not files.is_file(self._p.init_pickle_filename):
if not self._p.autoInit:
raise BetseSimException(
'Simulation halted due to missing initialization. '
'Please run "betse init" and try again.')
logs.log_info('Automatically initializing cell cluster...')
self.init()
logs.log_info('Now using initialization to run simulation.')
# Load the initialization from cache.
sim, cells, p_old = fh.loadSim(self._p.init_pickle_filename)
# Ensure compatibility between original and present config files.
self._die_if_seed_differs(p_old, self._p)
# Simulation phase, created *AFTER* unpickling these objects above.
phase = SimPhase(
kind=phase_kind,
cells=cells,
p=self._p,
sim=sim,
callbacks=self._callbacks,
)
# Run and save the simulation to the cache.
sim.sim_info_report(phase)
sim.run_sim_core(phase)
# Return this phase.
return phase
def is_dll(pathname: str) -> bool:
'''
``True`` only if the passed path is that of an existing shared library
specific to the current platform (e.g., suffixed by ``.so`` on Linux).
This function returns ``False`` if either:
* This path is *not* that of an existing file.
* This pathname has no filetype.
* This pathname's filetype is *not* that of a shared library supported by
the current platform.
Parameters
----------
pathname : str
Absolute or relative path of the shared library to inspect.
Returns
----------
bool
``True`` only if this path is that of an existing shared library.
'''
# Avoid circular import dependencies.
from betse.util.path import files, pathnames
from betse.util.os import kernels
# Filetype of this pathname if any or None otherwise.
filetype = pathnames.get_filetype_undotted_or_none(pathname)
# Name of this platform's low-level kernel (e.g., "Linux", "Darwin").
kernel_name = kernels.get_name()
# This path is that of an existing shared library if and only if...
return (
# This pathname has a filetype.
filetype is not None and
# This filetype is that of a shared library for this platform.
filetype in KERNEL_NAME_TO_DLL_FILETYPES[kernel_name] and
# This path is that of an existing file. Since testing this requires a
# filesystem lookup, this is the slowest test and thus deferred.
files.is_file(pathname))
def is_conda() -> bool:
'''
``True`` only if the active Python interpreter is managed by ``conda``, the
open-source, cross-platform, language-agnostic package manager provided by
the Anaconda and Miniconda distributions.
Specifically, this function returns ``True`` only if the
``{sys.prefix}/conda-meta/history`` file exists such that:
* ``{sys.prefix}`` is the site-specific Python directory prefix. Under
Linux, this is typically:
* ``/usr`` for system-wide Python interpreters.
* A user-specific directory for ``conda``-based Python interpreters
(e.g., ``${HOME}/Miniconda3/envs/${CONDA_ENV_NAME}``).
* ``conda-meta/history`` is a file relative to this prefix guaranteed to
exist for *all* ``conda`` environments (including the base environment).
Since this file is unlikely to be created in non-``conda`` environments,
the existence of this file effectively guarantees this interpreter to be
managed by ``conda``.
See Also
----------
https://stackoverflow.com/a/47730405/2809027
StackOverflow answer strongly inspiring this implementation.
https://github.com/conda/constructor/blob/2.0.1/constructor/install.py#L218-L234
Function in the ``conda`` codebase responsible for creating the
``{sys.prefix}/conda-meta/history`` file.
'''
# Avoid circular import dependencies.
from betse.util.path import files, pathnames
# Absolute filename of a file relative to the site-specific Python
# directory prefix guaranteed to exist for all "conda" environments.
conda_history_filename = pathnames.join(sys.prefix, 'conda-meta',
'history')
# Return true only if this file exists.
return files.is_file(conda_history_filename)
def start_code_repl() -> None:
'''
Start a REPL based on the canonical :mod:`code` module.
'''
# Log this invocation, including the same helpful help line preceding the
# official Python 3 REPL.
logs.log_info('Starting "code"-based REPL...')
logs.log_info('Type "help", "copyright", "credits" or '
'"license" for more information.')
# Defer heavyweight imports.
import code, readline
# Absolute path of the file persisting a REPL-specific history of commands.
# Note this REPL leverages a "readline"-style history file format.
history_filename = appmetaone.get_app_meta().get_repl_history_filename(
'readline')
readline.set_history_length(1000)
# If this file exists, deserialize this REPL's history from this file.
if files.is_file(history_filename):
logs.log_debug('Restoring REPL history from: %s', history_filename)
readline.read_history_file(history_filename)
# Run this REPL.
try:
code.interact(banner="", local=replenv.REPL_ENV)
# When this REPL halts...
except SystemExit as exception:
# If this REPL halted with error, reraise this exception.
if cmdexit.is_failure(exception.code):
raise
# Else, this REPL halted without error. Silently ignore this exception.
# Serialize this REPL's history back to disk regardless of whether an
# exception was raised.
finally:
logs.log_debug('Preserving REPL history to: %s', history_filename)
readline.write_history_file(history_filename)
def _do_try(self) -> object:
'''
Run the ``try`` subcommand and return the result of doing so.
'''
# Basename of the sample configuration file to be created.
config_basename = 'sample_sim.yaml'
# Relative filename of this file, relative to the current directory.
self._args.conf_filename = pathnames.join(
'sample_sim', config_basename)
#FIXME: Insufficient. We only want to reuse this file if this file's
#version is identical to that of the default YAML configuration file's
#version. Hence, this logic should (arguably) be shifted elsewhere --
#probably into "betse.science.sim_config".
# If this file already exists, reuse this file.
if files.is_file(self._args.conf_filename):
logs.log_info(
'Reusing simulation configuration "%s".', config_basename)
# Else, create this file.
else:
self._do_config()
# Run all general-purposes phases, thus excluding network-isolated
# phases (e.g., "_do_sim_grn"), in the expected order.
self._do_seed()
self._do_init()
self._do_sim()
self._do_plot_seed()
self._do_plot_init()
# Return the value returned by the last such phase, permitting this
# subcommand to be memory profiled. While any value would technically
# suffice, the value returned by the last such phase corresponds to a
# complete simulation run and hence is likely to consume maximal memory.
return self._do_plot_sim()
def _die_unless_file_pickled(
filename: str, subcommand: str, subcommand_label: str) -> None:
'''
Raise an exception containing the passed machine-readable subcommand and
human-readable label denoting that subcommand unless the file with the
passed filename pickled by a prior run of that subcommand exists.
Parameters
----------
filename : str
Absolute filename of the pickled file to be validated.
subcommand : str
Machine-readable case-sensitive name of the prior subcommand expected
to have pickled this file (e.g., ``seed``, ``init``).
subcommand_label : str
Human-readable case-insensitive noun denoting the type of prior
subcommand expected to have pickled this file (e.g., ``Seed``,
``initialization``).
Raises
----------
BetseSimException
If this file does *not* exist.
'''
# If this file does *NOT* exist...
if not files.is_file(filename):
# Uppercase the first character of this label for readability.
subcommand_label_cased = strs.uppercase_char_first(subcommand_label)
# Raise an exception embedding these parameters.
raise BetseSimException(
'{} not previously run; '
'please run "betse {}" and try again.\n'
'Specifically, file not found: {}'.format(
subcommand_label_cased, subcommand, filename))
def _run_pyinstaller_command(
self,
script_basename: str,
script_type: str,
entry_point,
) -> None:
'''
Run the currently configured PyInstaller command for the passed entry
point's script wrapper.
Attributes
----------
script_basename : str
Basename of the executable wrapper script running this entry point.
script_type : str
Type of the executable wrapper script running this entry point,
guaranteed to be either:
* If this script is console-specific, ``console`` .
* Else, ``gui``.
entry_point : EntryPoint
Entry point, whose attributes specify the module to be imported and
function to be run by this script.
'''
# Defer heavyweight imports.
from betse.util.io import stderrs
from betse.util.os.shell import shellstr
from betse.util.path import files, pathnames
# If this spec exists, instruct PyInstaller to reuse rather than
# recreate this file, thus preserving edits to this file.
if files.is_file(self._pyinstaller_spec_filename):
print('Reusing spec file "{}".'.format(
self._pyinstaller_spec_filename))
# Append the relative path of this spec file.
self._pyinstaller_args.append(
shellstr.shell_quote(self._pyinstaller_spec_filename))
# Freeze this script with this spec file.
self._run_pyinstaller_imported()
# Else, instruct PyInstaller to (re)create this spec file.
else:
# Absolute path of the directory containing this files.
pyinstaller_spec_dirname = pathnames.get_dirname(
self._pyinstaller_spec_filename)
# Absolute path of the current script wrapper.
script_filename = pathnames.join(self.install_dir, script_basename)
files.die_unless_file(
script_filename,
'File "{}" not found. {}'.format(script_filename,
freeze.EXCEPTION_ADVICE))
# Inform the user of this action *AFTER* the above validation.
# Since specification files should typically be reused rather
# than regenerated, do so as a non-fatal warning.
stderrs.output_warning('Generating spec file "{}".'.format(
self._pyinstaller_spec_filename))
# Append all options specific to spec file generation.
self._pyinstaller_args.extend([
# If this is a console script, configure standard input and
# output for console handling; else, do *NOT* and, if the
# current operating system is OS X, generate an ".app"-suffixed
# application bundle rather than a customary executable.
'--console' if script_type == 'console' else '--windowed',
# Non-default PyInstaller directories.
'--additional-hooks-dir=' +
shellstr.shell_quote(self._pyinstaller_hooks_dirname),
'--specpath=' + shellstr.shell_quote(pyinstaller_spec_dirname),
])
# Append all subclass-specific options.
self._pyinstaller_args.extend(self._get_pyinstaller_options())
# Append the absolute path of this script.
self._pyinstaller_args.append(
shellstr.shell_quote(script_filename))
# Freeze this script and generate a spec file.
self._run_pyinstaller_imported()
# Absolute path of this file.
script_spec_filename = pathnames.join(pyinstaller_spec_dirname,
script_basename + '.spec')
# Rename this file to have the basename expected by the prior
# conditional on the next invocation of this setuptools command.
#
# Note that "pyinstaller" accepts an option "--name" permitting
# the basename of this file to be specified prior to generating
# this file. Unfortunately, this option *ALSO* specifies the
# basename of the generated executable. While the former is
# reliably renamable, the former is *NOT* (e.g., due to code
# signing). Hence, this file is manually renamed without passing
# this option.
files.move_file(script_spec_filename,
self._pyinstaller_spec_filename)
def sim_grn(self) -> SimPhase:
'''
Initialize and simulate a pure gene regulatory network (GRN) *without*
bioelectrics with the cell cluster seeded by a prior call to the
:meth:`seed` method and cache this initialization and simulation to
output files, specified by the current configuration file.
This method *must* be called prior to the :meth:`plot_grn` method, which
consumes this output as input.
Returns
----------
SimPhase
High-level simulation phase instance encapsulating all objects
internally created by this method to run this phase.
'''
# Simulation phase objects, defaulting to undefined initially.
phase = None
# Simulation phase type.
phase_kind = SimPhaseKind.INIT
# Simulator objects initialized below.
cells = None
sim = None
# Log this simulation.
logs.log_info(
'Running gene regulatory network "%s" '
'defined in config file "%s"...',
pathnames.get_basename(self._p.grn_config_filename),
self._p.conf_basename)
# If networking an uninitialized, unsimulated cell cluster...
if self._p.grn_unpickle_phase_type is GrnUnpicklePhaseType.SEED:
if not files.is_file(self._p.seed_pickle_filename):
if not self._p.autoInit:
raise BetseSimException(
'Simulation halted due to missing core seed. '
'Please run "betse seed" and try again.')
# Create an instance of world.
logs.log_info('Automatically seeding cell cluster...')
self.seed()
# Load the seed from cache.
cells, _ = fh.loadWorld(self._p.seed_pickle_filename)
logs.log_info('Running gene regulatory network on betse seed...')
logs.log_info('Now using cell cluster to run initialization.')
# Simulation phase.
phase = SimPhase(
kind=phase_kind,
callbacks=self._callbacks,
cells=cells,
p=self._p,
)
# Initialize core simulation data structures.
phase.sim.init_core(phase)
phase.sim.init_dynamics(phase)
#FIXME: Shift the following assignments into a new public
#"Simulator" method -- say, Simulator.init_core_null().
# Initialize other aspects required for piggyback of GRN on the
# sim object.
phase.sim.time = []
phase.sim.vm = -50e-3 * np.ones(phase.sim.mdl)
# Initialize key fields of simulator required to interface
# (dummy init).
phase.sim.rho_pump = 1.0
phase.sim.rho_channel = 1.0
phase.sim.conc_J_x = np.zeros(phase.sim.edl)
phase.sim.conc_J_y = np.zeros(phase.sim.edl)
phase.sim.J_env_x = np.zeros(phase.sim.edl)
phase.sim.J_env_y = np.zeros(phase.sim.edl)
phase.sim.u_env_x = np.zeros(phase.sim.edl)
phase.sim.u_env_y = np.zeros(phase.sim.edl)
# Else if networking an initialized but unsimulated cell cluster...
elif self._p.grn_unpickle_phase_type is GrnUnpicklePhaseType.INIT:
if not files.is_file(self._p.init_pickle_filename):
if not self._p.autoInit:
raise BetseSimException(
'Simulation halted due to missing core initialization. '
'Please run "betse init" and try again.')
logs.log_info('Automatically initializing cell cluster...')
self.init()
logs.log_info('Now using initialization to run simulation.')
# Load the initialization from cache.
logs.log_info('Running gene regulatory network on betse init...')
sim, cells, _ = fh.loadSim(self._p.init_pickle_filename)
# Else if networking an initialized, simulated cell cluster...
elif self._p.grn_unpickle_phase_type is GrnUnpicklePhaseType.SIM:
if not files.is_file(self._p.sim_pickle_filename):
raise BetseSimException(
'Simulation halted due to missing core simulation. '
'Please run "betse sim" and try again.')
# Load the simulation from cache.
logs.log_info('Running gene regulatory network on betse sim...')
sim, cells, _ = fh.loadSim(self._p.sim_pickle_filename)
# Else, this type of networking is unrecognized. Raise an exception.
else:
raise BetseSimConfException(
'Gene regulatory network (GRN) unpickle simulation phase '
'"{}" unrecognized.'.format(self._p.grn_unpickle_phase_type))
# If *NOT* defined above, define this simulation phase.
if phase is None:
phase = SimPhase(
kind=phase_kind,
callbacks=self._callbacks,
cells=cells,
p=self._p,
sim=sim,
)
# Reinitialize all profiles.
phase.dyna.init_profiles(phase)
phase.dyna.init_events(phase)
# If *NOT* restarting from a prior GRN run, start a new GRN.
if self._p.grn_unpickle_filename is None:
# Log this start.
logs.log_info("Initializing the gene regulatory network...")
# Create and initialize an instance of master of metabolism.
MoG = MasterOfGenes(self._p)
MoG.read_gene_config(phase)
# Else, restart from a prior GRN run.
else:
# Log this restart.
logs.log_info(
'Reinitializing the gene regulatory network from "%s"...',
pathnames.get_basename(self._p.grn_unpickle_filename))
# If this file does *NOT* exist, raise an exception.
_die_unless_file_pickled(
filename=self._p.grn_unpickle_filename,
subcommand='sim-grn',
subcommand_label='Gene regulatory network')
# Unpickle this file into a high-level "MasterOfGenes" object.
MoG, _, _ = pickles.load(self._p.grn_unpickle_filename)
# If running on a sim with a cut event, perform this cut...
if (
phase.dyna.event_cut is not None and
phase.dyna.event_cut.is_fired
):
# Log this cutting.
logs.log_info(
'A cutting event has been run, '
'so the GRN object needs to be modified...')
# If no prior initialization exists, raise an exception.
if not files.is_file(self._p.sim_pickle_filename):
logs.log_warning(
'This situation is complex '
'due to a cutting event being run. '
'Please have a corresponding init file '
'to run the GRN simulation!')
raise BetseSimException(
'Simulation terminated due to missing core init. '
'Please alter GRN settings and try again.')
# Else, a prior initialization exists.
# Log this initialization.
logs.log_info(
'Loading betse init from cache '
'for reference to original cells...')
# Load the initialization from cache.
sim_old, cells_old, _ = fh.loadSim(self._p.sim_pickle_filename)
#FIXME: This phase object would ideally be pickled to and
#from the "self._p.sim_pickle_filename" file loaded above, in
#which case this local variable would be safely removable.
# Original simulation phase. To avoid caller confusion, the
# optional "callbacks" parameter is intentionally *NOT* passed.
phase_old = SimPhase(
kind=phase_kind,
p=self._p,
cells=cells_old,
sim=sim_old,
)
# Initialize all tissue profiles on original cells.
phase_old.dyna.init_profiles(phase_old)
for cut_profile_name in phase_old.p.event_cut_profile_names:
logs.log_info(
'Cutting cell cluster via cut profile "%s"...',
cut_profile_name)
# Object picking the cells removed by this cut profile.
tissue_picker = phase_old.dyna.cut_name_to_profile[
cut_profile_name].picker
# One-dimensional Numpy arrays of the indices of all
# cells and cell membranes to be removed.
target_inds_cell, target_inds_mems = (
tissue_picker.pick_cells_and_mems(
cells=cells_old, p=self._p))
MoG.core.mod_after_cut_event(
phase, target_inds_cell, target_inds_mems)
MoG.core.redefine_dynamic_dics(sim, cells, self._p)
logs.log_info(
'Reinitializing gene regulatory network '
'for simulation...')
MoG.reinitialize(phase)
# if self._p.use_microtubules:
# sim.mtubes.mtubes_x = MoG.mtubes_x_time[-1]
# sim.mtubes.mtubes_y = MoG.mtubes_y_time[-1]
#
# sim.mtubes.uxmt, sim.mtubes.uymt = sim.mtubes.mtubes_to_cell(
# cells, self._p)
logs.log_info('Simulating gene regulatory network...')
MoG.run_core_sim(phase)
# Return this phase.
return phase
def get_package_project_dirname_or_none(package: ModuleType) -> StrOrNoneTypes:
'''
**Absolute canonical dirname** (i.e., absolute dirname after resolving
symbolic links) of the **root project directory** (i.e., top-level
directory containing an installable ``pyproject.toml`` file or ``setup.py``
script) governing the passed top-level Python package if found *or* raise
an exception otherwise (i.e., if this directory is *not* found).
Equivalently, this is the same as both:
* The root directory archived by release tarballs for this application.
* The Git-based working tree for this application (i.e., the top-level
directory containing this application's ``.git`` subdirectory).
Specifically, this function returns non-``None`` only if the parent
directory of the passed package's directory contains either:
* A ``pyproject.toml`` file, implying this package to be satisfy `PEP 518`_
and hence be installable by at least poetry_.
* A ``setup.py`` script, implying this package to be installable by either
the standard :mod:`distutils` API or third-party :mod:`setuptools` API.
:: _PEP 518:
https://snarky.ca/clarifying-pep-518/
:: _poetry:
https://github.com/sdispater/poetry
Caveats
----------
**This directory typically does not exist.** This directory is only
required during installation by non-developers *or* during development
by developers. Once this application has been installed in a standard
(i.e., non-editable) fashion by non-developers, this directory is no
longer required and hence should *not* be assumed to exist.
Parameters
----------
package : ModuleType
Top-level Python package to be queried.
Returns
----------
StrOrNoneTypes
Either:
* If the parent directory of the passed package's directory contains
either a ``pyproject.toml`` or ``setup.py`` script, the absolute
canonical dirname of that parent directory.
* Else, ``None``.
'''
# Avoid circular import dependencies.
from betse.util.path import files, pathnames
from betse.util.py.module import pymodule
# Absolute canonical dirname of the directory providing this package,
# canonicalized into a directory rather than symbolic link to increase the
# likelihood of obtaining the actual parent directory of this package.
package_dirname = pymodule.get_dirname_canonical(package)
# Absolute dirname of the parent directory of this directory.
package_project_dirname = pathnames.get_dirname(package_dirname)
# Absolute filenames of the "pyproject.toml" and "setup.py" files possibly
# provided by this parent directory.
pyproject_filename = pathnames.join(package_project_dirname,
'pyproject.toml')
setup_filename = pathnames.join(package_project_dirname, 'setup.py')
# Return this parent directory's absolute dirname if either of these
# requisite installation-time files exist *OR* "None" otherwise.
return (package_project_dirname if
(files.is_file(pyproject_filename)
or files.is_file(setup_filename)) else None)
