def _evaluate_cut(uncut_subsystem, cut, unpartitioned_constellation):
""" pyphi.compute._evaluate_cut()
Find the |BigMip| for a given cut."""
cut_subsystem = Subsystem(uncut_subsystem.network,
uncut_subsystem.state,
uncut_subsystem.node_indices,
cut=cut,
mice_cache=uncut_subsystem._mice_cache)
if config.ASSUME_CUTS_CANNOT_CREATE_NEW_CONCEPTS:
mechanisms = set([c.mechanism for c in unpartitioned_constellation])
else:
mechanisms = set(
[c.mechanism for c in unpartitioned_constellation] +
list(cut.all_cut_mechanisms(uncut_subsystem.node_indices)))
partitioned_constellation = constellation(cut_subsystem, mechanisms)
phi = constellation_distance(unpartitioned_constellation,
partitioned_constellation)
return BigMip(phi=round(phi, PRECISION),
unpartitioned_constellation=unpartitioned_constellation,
partitioned_constellation=partitioned_constellation,
subsystem=uncut_subsystem,
cut_subsystem=cut_subsystem)
def test_find_mip_parallel_standard_example(s, flushcache, restore_fs_cache):
flushcache()
unpartitioned_constellation = constellation(s)
bipartitions = utils.directed_bipartition(s.node_indices)[1:-1]
cuts = [Cut(bipartition[0], bipartition[1])
for bipartition in bipartitions]
min_mip = _null_bigmip(s)
min_mip.phi = float('inf')
mip = _find_mip_parallel(s, cuts, unpartitioned_constellation, min_mip)
check_mip(mip, standard_answer)
def test_find_mip_sequential_micro(micro_s, flushcache, restore_fs_cache):
flushcache()
unpartitioned_constellation = constellation(micro_s)
bipartitions = utils.directed_bipartition(micro_s.node_indices)[1:-1]
cuts = [Cut(bipartition[0], bipartition[1])
for bipartition in bipartitions]
min_mip = _null_bigmip(micro_s)
min_mip.phi = float('inf')
mip = _find_mip_sequential(micro_s, cuts, unpartitioned_constellation,
min_mip)
check_mip(mip, micro_answer)
def test_find_mip_parallel_standard_example(s, flushcache, restore_fs_cache):
flushcache()
initial = (config.PARALLEL_CUT_EVALUATION, config.NUMBER_OF_CORES)
config.PARALLEL_CUT_EVALUATION, config.NUMBER_OF_CORES = True, -2
unpartitioned_constellation = constellation(s)
bipartitions = utils.directed_bipartition(s.node_indices)[1:-1]
cuts = [Cut(bipartition[0], bipartition[1])
for bipartition in bipartitions]
min_mip = _null_bigmip(s)
min_mip.phi = float('inf')
mip = _find_mip_parallel(s, cuts, unpartitioned_constellation, min_mip)
check_mip(mip, standard_answer)
config.PARALLEL_CUT_EVALUATION, config.NUMBER_OF_CORES = initial
def test_parallel_and_sequential_constellations_are_equal(s, micro_s, macro_s):
with config.override(PARALLEL_CONCEPT_EVALUATION=False):
c = compute.constellation(s)
c_micro = compute.constellation(micro_s)
c_macro = compute.constellation(macro_s)
with config.override(PARALLEL_CONCEPT_EVALUATION=True):
assert set(c) == set(compute.constellation(s))
assert set(c_micro) == set(compute.constellation(micro_s))
assert set(c_macro) == set(compute.constellation(macro_s))
def test_find_mip_parallel_micro(micro_s, flushcache, restore_fs_cache):
flushcache()
initial = config.PARALLEL_CUT_EVALUATION
config.PARALLEL_CUT_EVALUATION = True
unpartitioned_constellation = constellation(micro_s)
bipartitions = utils.directed_bipartition(micro_s.node_indices)[1:-1]
cuts = [Cut(bipartition[0], bipartition[1])
for bipartition in bipartitions]
min_mip = _null_bigmip(micro_s)
min_mip.phi = float('inf')
mip = _find_mip_parallel(micro_s, cuts, unpartitioned_constellation,
min_mip)
check_mip(mip, micro_answer)
config.PARALLEL_CUT_EVALUATION = initial
def test_find_mip_sequential_noised_example(s_noised, flushcache,
restore_fs_cache):
flushcache()
initial = config.PARALLEL_CUT_EVALUATION
config.PARALLEL_CUT_EVALUATION = False
unpartitioned_constellation = constellation(s_noised)
bipartitions = utils.directed_bipartition(s_noised.node_indices)[1:-1]
cuts = [Cut(bipartition[0], bipartition[1])
for bipartition in bipartitions]
min_mip = _null_bigmip(s_noised)
min_mip.phi = float('inf')
mip = _find_mip_sequential(s_noised, cuts, unpartitioned_constellation, min_mip)
check_mip(mip, noised_answer)
config.PARALLEL_CUT_EVALUATION = initial
def _big_mip(cache_key, subsystem):
"""Return the minimal information partition of a subsystem.
Args:
subsystem (Subsystem): The candidate set of nodes.
Returns:
big_mip (|BigMip|): A nested structure containing all the data from the
intermediate calculations. The top level contains the basic MIP
information for the given subsystem.
"""
#log.info("Calculating big-phi data for {}...".format(subsystem))
start = time()
if config.PARALLEL_CUT_EVALUATION:
_find_mip = _find_mip_parallel
else:
_find_mip = _find_mip_sequential
# Annote a BigMip with the total elapsed calculation time, and optionally
# also with the time taken to calculate the unpartitioned constellation.
def time_annotated(big_mip, small_phi_time=0.0):
big_mip.time = time() - start
big_mip.small_phi_time = small_phi_time
return big_mip
# Special case for single-node subsystems.
if len(subsystem) == 1:
log.info('Single-node {}; returning the hard-coded single-node MIP '
'immediately.'.format(subsystem))
return time_annotated(_single_node_mip(subsystem))
# Check for degenerate cases
# =========================================================================
# Phi is necessarily zero if the subsystem is:
# - not strongly connected;
# - empty; or
# - an elementary mechanism (i.e. no nontrivial bipartitions).
# So in those cases we immediately return a null MIP.
if not subsystem:
#log.info('Subsystem {} is empty; returning null MIP '
#'immediately.'.format(subsystem))
return time_annotated(_null_bigmip(subsystem))
if not utils.strongly_connected(subsystem.connectivity_matrix,
subsystem.node_indices):
#log.info('{} is not strongly connected; returning null MIP '
#'immediately.'.format(subsystem))
return time_annotated(_null_bigmip(subsystem))
# =========================================================================
#log.debug("Finding unpartitioned constellation...")
small_phi_start = time()
unpartitioned_constellation = constellation(subsystem)
small_phi_time = time() - small_phi_start
#log.debug("Found unpartitioned constellation.")
if not unpartitioned_constellation:
# Short-circuit if there are no concepts in the unpartitioned
# constellation.
result = time_annotated(_null_bigmip(subsystem))
else:
cuts = big_mip_bipartitions(subsystem.node_indices)
min_mip = _null_bigmip(subsystem)
min_mip.phi = float('inf')
min_mip = _find_mip(subsystem, cuts, unpartitioned_constellation,
min_mip)
result = time_annotated(min_mip[0], small_phi_time)
#log.info("Finished calculating big-phi data for {}.".format(subsystem))
#log.debug("RESULT: \n" + str(result))
return [
result, min_mip[1]
] # results is the time-annotated MIP result in min_mip[0], min_mip[1] holds phis for all possible partition schemes
def time_constellation(self, mode, network):
clear_subsystem_caches(self.subsys)
# network purview caches are left intact
compute.constellation(self.subsys)
def time_constellation(self, mode, network):
clear_subsystem_caches(self.subsys)
# network purview caches are left intact
compute.constellation(self.subsys)
