def _create_new_bundles(self):
"""
If the right conditions have been reached, create a new bundle.
"""
# Incrementally accumulate nucleation energy.
nb.nucleation_energy_gather(self.nonbundle_activities,
self.nucleation_energy)
# Don't accumulate nucleation energy between a cable and itself
ind = np.arange(self.cable_activities.size).astype(int)
self.nucleation_energy[ind,ind] = 0.
# Don't accumulate nucleation energy between cables already
# in the same bundle
for i in range(self.n_map_entries):
i_bundle = self.bundle_map_rows[i]
i_cable = self.bundle_map_cols[i]
j = 1
j_bundle = self.bundle_map_rows[i + j]
j_cable = self.bundle_map_cols[i + j]
while j_bundle == i_bundle:
self.nucleation_energy[i_cable, j_cable] = 0.
self.nucleation_energy[j_cable, i_cable] = 0.
j += 1
j_bundle = self.bundle_map_rows[i + j]
j_cable = self.bundle_map_cols[i + j]
results = -np.ones(3)
nb.max_dense(self.nucleation_energy, results)
max_energy = results[0]
cable_index_a = int(results[1])
cable_index_b = int(results[2])
# Add a new bundle if appropriate
if max_energy > self.nucleation_threshold:
self.bundle_map_rows[self.n_map_entries] = self.num_bundles
self.bundle_map_cols[self.n_map_entries] = cable_index_a
self.increment_n_map_entries()
self.bundle_map_rows[self.n_map_entries] = self.num_bundles
self.bundle_map_cols[self.n_map_entries] = cable_index_b
self.increment_n_map_entries()
self.num_bundles += 1
print ' '.join([' ', self.name,
'bundle', str(self.num_bundles),
'added with cables', str(cable_index_a),
str(cable_index_b)])
# Check whether the ``ZipTie``'s capacity has been reached.
if self.num_bundles == self.max_num_bundles:
self.bundles_full = True
# Reset the accumulated nucleation and agglomeration energy
# for the two cables involved.
self.nucleation_energy[cable_index_a, :] = 0.
self.nucleation_energy[cable_index_b, :] = 0.
self.nucleation_energy[:, cable_index_a] = 0.
self.nucleation_energy[:, cable_index_b] = 0.
self.agglomeration_energy[:, cable_index_a] = 0.
self.agglomeration_energy[:, cable_index_b] = 0.
def _grow_bundles(self):
"""
Update an estimate of co-activity between all cables.
"""
# Incrementally accumulate agglomeration energy.
nb.agglomeration_energy_gather(self.bundle_activities,
self.nonbundle_activities,
self.num_bundles,
self.agglomeration_energy)
# Don't accumulate agglomeration energy between cables already
# in the same bundle
val = 0.
if self.n_map_entries > 0:
nb.set_dense_val(self.agglomeration_energy,
self.bundle_map_rows[:self.n_map_entries],
self.bundle_map_cols[:self.n_map_entries],
val)
results = -np.ones(3)
nb.max_dense(self.agglomeration_energy, results)
max_energy = results[0]
cable_index = int(results[2])
bundle_index = int(results[1])
# Add a new bundle if appropriate
if max_energy > self.agglomeration_threshold:
# Find which cables are in the new bundle.
cables = [cable_index]
for i in range(self.n_map_entries):
if self.bundle_map_rows[i] == bundle_index:
cables.append(self.bundle_map_cols[i])
# Check whether the agglomeration is already in the bundle map.
candidate_bundles = np.arange(self.num_bundles)
for cable in cables:
matches = np.where(self.bundle_map_cols == cable)[0]
candidate_bundles = np.intersect1d(
candidate_bundles,
self.bundle_map_rows[matches],
assume_unique=True)
if candidate_bundles.size != 0:
# The agglomeration has already been used to create a
# bundle. Ignore and reset they count. This can happen
# under normal circumstances, because of how nonbundle
# activities are calculated.
self.agglomeration_energy[bundle_index, cable_index] = 0.
return
# Make a copy of the growing bundle.
for i in range(self.n_map_entries):
if self.bundle_map_rows[i] == bundle_index:
self.bundle_map_rows[self.n_map_entries] = self.num_bundles
self.bundle_map_cols[self.n_map_entries] = (
self.bundle_map_cols[i])
self.increment_n_map_entries()
# Add in the new cable.
self.bundle_map_rows[self.n_map_entries] = self.num_bundles
self.bundle_map_cols[self.n_map_entries] = cable_index
self.increment_n_map_entries()
self.num_bundles += 1
print ' '.join([' ', self.name,
'bundle', str(self.num_bundles),
'added: bundle', str(bundle_index),
'and cable', str(cable_index)])
# Check whether the ``ZipTie``'s capacity has been reached.
if self.num_bundles == self.max_num_bundles:
self.bundles_full = True
# Reset the accumulated nucleation and agglomeration energy
# for the two cables involved.
self.nucleation_energy[cable_index, :] = 0.
self.nucleation_energy[cable_index, :] = 0.
self.nucleation_energy[:, cable_index] = 0.
self.nucleation_energy[:, cable_index] = 0.
self.agglomeration_energy[:, cable_index] = 0.
self.agglomeration_energy[bundle_index, :] = 0.
def _grow_bundles(self):
"""
Update an estimate of co-activity between all cables.
"""
# Incrementally accumulate agglomeration energy.
nb.agglomeration_energy_gather(self.bundle_activities,
self.nonbundle_activities,
self.num_bundles,
self.agglomeration_energy)
# Don't accumulate agglomeration energy between cables already
# in the same bundle
val = 0.
if self.n_map_entries > 0:
nb.set_dense_val(self.agglomeration_energy,
self.bundle_map_rows[:self.n_map_entries],
self.bundle_map_cols[:self.n_map_entries], val)
results = -np.ones(3)
nb.max_dense(self.agglomeration_energy, results)
max_energy = results[0]
cable_index = int(results[2])
bundle_index = int(results[1])
# Add a new bundle if appropriate
if max_energy > self.agglomeration_threshold:
# Find which cables are in the new bundle.
cables = [cable_index]
for i in range(self.n_map_entries):
if self.bundle_map_rows[i] == bundle_index:
cables.append(self.bundle_map_cols[i])
# Check whether the agglomeration is already in the bundle map.
candidate_bundles = np.arange(self.num_bundles)
for cable in cables:
matches = np.where(self.bundle_map_cols == cable)[0]
candidate_bundles = np.intersect1d(
candidate_bundles,
self.bundle_map_rows[matches],
assume_unique=True)
if candidate_bundles.size != 0:
# The agglomeration has already been used to create a
# bundle. Ignore and reset they count. This can happen
# under normal circumstances, because of how nonbundle
# activities are calculated.
self.agglomeration_energy[bundle_index, cable_index] = 0.
return
# Make a copy of the growing bundle.
for i in range(self.n_map_entries):
if self.bundle_map_rows[i] == bundle_index:
self.bundle_map_rows[self.n_map_entries] = self.num_bundles
self.bundle_map_cols[self.n_map_entries] = (
self.bundle_map_cols[i])
self.increment_n_map_entries()
# Add in the new cable.
self.bundle_map_rows[self.n_map_entries] = self.num_bundles
self.bundle_map_cols[self.n_map_entries] = cable_index
self.increment_n_map_entries()
self.num_bundles += 1
print ' '.join([
' ', self.name, 'bundle',
str(self.num_bundles), 'added: bundle',
str(bundle_index), 'and cable',
str(cable_index)
])
# Check whether the ``ZipTie``'s capacity has been reached.
if self.num_bundles == self.max_num_bundles:
self.bundles_full = True
# Reset the accumulated nucleation and agglomeration energy
# for the two cables involved.
self.nucleation_energy[cable_index, :] = 0.
self.nucleation_energy[cable_index, :] = 0.
self.nucleation_energy[:, cable_index] = 0.
self.nucleation_energy[:, cable_index] = 0.
self.agglomeration_energy[:, cable_index] = 0.
self.agglomeration_energy[bundle_index, :] = 0.
def _create_new_bundles(self):
"""
If the right conditions have been reached, create a new bundle.
"""
# Incrementally accumulate nucleation energy.
nb.nucleation_energy_gather(self.nonbundle_activities,
self.nucleation_energy)
# Don't accumulate nucleation energy between a cable and itself
ind = np.arange(self.cable_activities.size).astype(int)
self.nucleation_energy[ind, ind] = 0.
# Don't accumulate nucleation energy between cables already
# in the same bundle
for i in range(self.n_map_entries):
i_bundle = self.bundle_map_rows[i]
i_cable = self.bundle_map_cols[i]
j = 1
j_bundle = self.bundle_map_rows[i + j]
j_cable = self.bundle_map_cols[i + j]
while j_bundle == i_bundle:
self.nucleation_energy[i_cable, j_cable] = 0.
self.nucleation_energy[j_cable, i_cable] = 0.
j += 1
j_bundle = self.bundle_map_rows[i + j]
j_cable = self.bundle_map_cols[i + j]
results = -np.ones(3)
nb.max_dense(self.nucleation_energy, results)
max_energy = results[0]
cable_index_a = int(results[1])
cable_index_b = int(results[2])
# Add a new bundle if appropriate
if max_energy > self.nucleation_threshold:
self.bundle_map_rows[self.n_map_entries] = self.num_bundles
self.bundle_map_cols[self.n_map_entries] = cable_index_a
self.increment_n_map_entries()
self.bundle_map_rows[self.n_map_entries] = self.num_bundles
self.bundle_map_cols[self.n_map_entries] = cable_index_b
self.increment_n_map_entries()
self.num_bundles += 1
print ' '.join([
' ', self.name, 'bundle',
str(self.num_bundles), 'added with cables',
str(cable_index_a),
str(cable_index_b)
])
# Check whether the ``ZipTie``'s capacity has been reached.
if self.num_bundles == self.max_num_bundles:
self.bundles_full = True
# Reset the accumulated nucleation and agglomeration energy
# for the two cables involved.
self.nucleation_energy[cable_index_a, :] = 0.
self.nucleation_energy[cable_index_b, :] = 0.
self.nucleation_energy[:, cable_index_a] = 0.
self.nucleation_energy[:, cable_index_b] = 0.
self.agglomeration_energy[:, cable_index_a] = 0.
self.agglomeration_energy[:, cable_index_b] = 0.