def cmd_rebin(self):
mapper = self.binning.mapper
assert mapper is not None
if self.n_iter == 1:
sys.stderr.write('rebin is not supported for the first iteration; reinitialize with w_init instead\n')
sys.exit(1)
n_target_states = len(self.data_reader.get_target_states(self.n_iter))
we_driver = westpa.rc.get_we_driver()
data_manager = self.data_reader.data_manager
segments = data_manager.get_segments(self.n_iter,load_pcoords=True)
last_iter_segments = data_manager.get_segments(self.n_iter-1,load_pcoords=False,load_auxdata=False)
# Bin on this iteration's initial points
# We don't have to worry about recycling because we are binning on
# initial points rather than final points, so recycling has already
# occurred for this iteration.
# We do need initial states, in case we merge a newly-created walker out of existence
#avail_initial_states = {state.state_id: state
# for state in data_manager.get_unused_initial_states(n_iter = self.n_iter)}
avail_initial_states = data_manager.get_unused_initial_states(n_iter = self.n_iter)
used_initial_states = data_manager.get_segment_initial_states(segments)
we_driver.new_iteration(initial_states=avail_initial_states,
bin_mapper=mapper, bin_target_counts=self.binning.bin_target_counts)
we_driver.used_initial_states = {state.state_id: state for state in used_initial_states}
we_driver.assign(segments,initializing=True)
we_driver.rebin_current(parent_segments=last_iter_segments)
weights = numpy.array([segment.weight for segment in we_driver.next_iter_segments])
assignments = numpy.fromiter(we_driver.next_iter_assignments,dtype=int,count=len(weights))
write_bin_info(mapper, assignments, weights, n_target_states, detailed=self.args.detail)
if self.args.confirm:
data_manager.prepare_iteration(self.n_iter, list(we_driver.next_iter_segments))
# manually update endpoint statuses only
endpoint_types = sorted([(segment.seg_id, segment.endpoint_type) for segment in last_iter_segments])
last_iter_group = data_manager.get_iter_group(self.n_iter-1)
last_iter_index = last_iter_group['seg_index'][...]
last_iter_index['endpoint_type'] = [pair[1] for pair in endpoint_types]
last_iter_group['seg_index'][...] = last_iter_index
data_manager.save_iter_binning(self.n_iter, self.binning.mapper_hash, self.binning.mapper_pickle,
we_driver.bin_target_counts)
data_manager.update_initial_states(we_driver.all_initial_states)
data_manager.flush_backing()
def cmd_info(self):
mapper = self.binning.mapper
# Get target states and their assignments
target_states = self.data_reader.get_target_states(self.n_iter)
n_target_states = len(target_states)
iter_group = self.data_reader.get_iter_group(self.n_iter)
# bin initial pcoords for iteration n_iter
initial_pcoords = iter_group['pcoord'][:,0,:]
assignments = mapper.assign(initial_pcoords)
del initial_pcoords
print('Bin information for iteration {:d}'.format(self.n_iter))
# Get bin counts and weights
weights = iter_group['seg_index']['weight']
write_bin_info(mapper, assignments, weights, n_target_states, detailed=self.args.detail)
def cmd_info(self):
mapper = self.binning.mapper
# Get target states and their assignments
target_states = self.data_reader.get_target_states(self.n_iter)
n_target_states = len(target_states)
iter_group = self.data_reader.get_iter_group(self.n_iter)
# bin initial pcoords for iteration n_iter
initial_pcoords = iter_group['pcoord'][:, 0, :]
assignments = mapper.assign(initial_pcoords)
del initial_pcoords
print('Bin information for iteration {:d}'.format(self.n_iter))
# Get bin counts and weights
weights = iter_group['seg_index']['weight']
write_bin_info(mapper,
assignments,
weights,
n_target_states,
detailed=self.args.detail)
def cmd_rebin(self):
mapper = self.binning.mapper
assert mapper is not None
if self.n_iter == 1:
sys.stderr.write(
'rebin is not supported for the first iteration; reinitialize with w_init instead\n'
)
sys.exit(1)
n_target_states = len(self.data_reader.get_target_states(self.n_iter))
we_driver = westpa.rc.get_we_driver()
data_manager = self.data_reader.data_manager
segments = data_manager.get_segments(self.n_iter, load_pcoords=True)
last_iter_segments = data_manager.get_segments(self.n_iter - 1,
load_pcoords=False,
load_auxdata=False)
# Bin on this iteration's initial points
# We don't have to worry about recycling because we are binning on
# initial points rather than final points, so recycling has already
# occurred for this iteration.
# We do need initial states, in case we merge a newly-created walker out of existence
#avail_initial_states = {state.state_id: state
# for state in data_manager.get_unused_initial_states(n_iter = self.n_iter)}
avail_initial_states = data_manager.get_unused_initial_states(
n_iter=self.n_iter)
used_initial_states = data_manager.get_segment_initial_states(segments)
we_driver.new_iteration(
initial_states=avail_initial_states,
bin_mapper=mapper,
bin_target_counts=self.binning.bin_target_counts)
we_driver.used_initial_states = {
state.state_id: state
for state in used_initial_states
}
we_driver.assign(segments, initializing=True)
we_driver.rebin_current(parent_segments=last_iter_segments)
weights = numpy.array(
[segment.weight for segment in we_driver.next_iter_segments])
assignments = numpy.fromiter(we_driver.next_iter_assignments,
dtype=int,
count=len(weights))
write_bin_info(mapper,
assignments,
weights,
n_target_states,
detailed=self.args.detail)
if self.args.confirm:
data_manager.prepare_iteration(self.n_iter,
list(we_driver.next_iter_segments))
# manually update endpoint statuses only
endpoint_types = sorted([(segment.seg_id, segment.endpoint_type)
for segment in last_iter_segments])
last_iter_group = data_manager.get_iter_group(self.n_iter - 1)
last_iter_index = last_iter_group['seg_index'][...]
last_iter_index['endpoint_type'] = [
pair[1] for pair in endpoint_types
]
last_iter_group['seg_index'][...] = last_iter_index
data_manager.save_iter_binning(self.n_iter,
self.binning.mapper_hash,
self.binning.mapper_pickle,
we_driver.bin_target_counts)
data_manager.update_initial_states(we_driver.all_initial_states)
data_manager.flush_backing()