def check_simpack(simpack):
_test_settings = simpack._test_settings
simpack_grokker = SimpackGrokker(simpack)
# Test the caching:
assert simpack_grokker is SimpackGrokker(simpack)
step_profile = simpack_grokker.build_step_profile()
assert step_profile.function == simpack_grokker.default_step_function
assert isinstance(step_profile, garlicsim.misc.StepProfile)
assert (not step_profile.args) and (not step_profile.kwargs)
assert len(simpack_grokker.all_step_functions) == \
_test_settings.N_STEP_FUNCTIONS
state = simpack.State.create_root()
assert SimpackGrokker.create_from_state(state) is simpack_grokker
assert simpack_grokker.available_cruncher_types == \
simpack._test_settings.CRUNCHERS_LIST
assert simpack_grokker.available_cruncher_types == \
[cruncher for cruncher, availability in
simpack_grokker.cruncher_types_availability.items()
if availability]
assert all(
issubclass(cruncher, garlicsim.asynchronous_crunching.BaseCruncher)
for cruncher in simpack_grokker.cruncher_types_availability.keys())
assert simpack_grokker.default_step_function == \
_test_settings.DEFAULT_STEP_FUNCTION
assert simpack_grokker.history_dependent == \
_test_settings.HISTORY_DEPENDENT
settings = simpack_grokker.settings
assert isinstance(settings, Settings)
assert callable(settings.DETERMINISM_FUNCTION)
if not simpack_grokker.history_dependent:
assert isinstance(simpack_grokker.step(state, step_profile),
simpack.State)
iterator = simpack_grokker.get_step_iterator(state, step_profile)
assert iterator.__iter__() is iterator
step_types = simpack_grokker.step_functions_by_type.keys()
assert all(issubclass(step_type, BaseStep) for step_type in step_types)
# Fetched in a different way than `simpack_grokker.all_step_functions`:
all_step_functions = sequence_tools.flatten(
simpack_grokker.step_functions_by_type.values())
assert all(
issubclass(StepType.get_step_type(step_function), BaseStep)
for step_function in all_step_functions)
assert len(all_step_functions) == _test_settings.N_STEP_FUNCTIONS
def test_all_sizes():
'''Test using `n=None` so combinations of all sizes are returned.'''
assert list(combinations(xrange(4))) == sequence_tools.flatten(
list(combinations(xrange(4), i)) for i in xrange(1, 4 + 1))
def check_simpack(simpack):
_test_settings = simpack._test_settings
simpack_grokker = SimpackGrokker(simpack)
# Test the caching:
assert simpack_grokker is SimpackGrokker(simpack)
step_profile = simpack_grokker.build_step_profile()
assert step_profile.function == simpack_grokker.default_step_function
assert isinstance(step_profile, garlicsim.misc.StepProfile)
assert (not step_profile.args) and (not step_profile.kwargs)
assert len(simpack_grokker.all_step_functions) == \
_test_settings.N_STEP_FUNCTIONS
state = simpack.State.create_root()
assert SimpackGrokker.create_from_state(state) is simpack_grokker
assert simpack_grokker.available_cruncher_types == \
simpack._test_settings.CRUNCHERS_LIST
assert simpack_grokker.available_cruncher_types == \
[cruncher for cruncher, availability in
list(list(simpack_grokker.cruncher_types_availability.items()))
if availability]
assert all(
issubclass(cruncher, garlicsim.asynchronous_crunching.BaseCruncher)
for cruncher in list(list(simpack_grokker.cruncher_types_availability.keys()))
)
assert simpack_grokker.default_step_function == \
_test_settings.DEFAULT_STEP_FUNCTION
assert simpack_grokker.history_dependent == \
_test_settings.HISTORY_DEPENDENT
settings = simpack_grokker.settings
assert isinstance(settings, Settings)
assert isinstance(settings.DETERMINISM_FUNCTION, collections.Callable)
if not simpack_grokker.history_dependent:
assert isinstance(simpack_grokker.step(state, step_profile),
simpack.State)
iterator = simpack_grokker.get_step_iterator(state, step_profile)
assert iterator.__iter__() is iterator
step_types = list(list(simpack_grokker.step_functions_by_type.keys()))
assert all(issubclass(step_type, BaseStep) for step_type in step_types)
# Fetched in a different way than `simpack_grokker.all_step_functions`:
all_step_functions = sequence_tools.flatten(
list(list(simpack_grokker.step_functions_by_type.values()))
)
assert all(
issubclass(StepType.get_step_type(step_function), BaseStep) for
step_function in all_step_functions
)
assert len(all_step_functions) == _test_settings.N_STEP_FUNCTIONS
def test_all_sizes():
'''Test using `n=None` so combinations of all sizes are returned.'''
assert list(combinations(xrange(4))) == sequence_tools.flatten(
list(combinations(xrange(4), i)) for i in xrange(1, 4+1)
)
