def largestHierarchicalNetwork(
exe, maxradix, minbandwidth, ldimensions, gdimensions, minconcentration,
maxconcentration, lock, results, verbose):
if verbose:
print('\nLocal searching')
localNet = search_util.findLargestNetwork(
exe, maxradix, minbandwidth, ldimensions, ldimensions,
minconcentration, maxconcentration, verbose)
if verbose:
print('\nGlobal searching')
globalNet = search_util.findLargestNetwork(
exe, int(localNet[5]), minbandwidth, gdimensions, gdimensions,
None, None, verbose)
lock.acquire()
results[maxradix] = (localNet, globalNet)
lock.release()
def largestNetwork(exe, maxradix, minbandwidth, mindimensions, maxdimensions,
minconcentration, maxconcentration, lock, results, verbose):
info = search_util.findLargestNetwork(exe, maxradix, minbandwidth,
mindimensions, maxdimensions,
minconcentration, maxconcentration,
verbose)
lock.acquire()
results[maxradix] = info
lock.release()
def largestNetwork(exe, maxradix, minbandwidth, mindimensions, maxdimensions,
minconcentration, maxconcentration, lock, results,
verbose):
info = search_util.findLargestNetwork(
exe, maxradix, minbandwidth, mindimensions, maxdimensions, minconcentration,
maxconcentration, verbose)
lock.acquire()
results[maxradix] = info
lock.release()
def largestHierarchicalNetwork(exe, maxradix, minbandwidth, ldimensions,
gdimensions, minconcentration, maxconcentration,
lock, results, verbose):
if verbose:
print('\nLocal searching')
localNet = search_util.findLargestNetwork(exe, maxradix, minbandwidth,
ldimensions, ldimensions,
minconcentration,
maxconcentration, verbose)
if verbose:
print('\nGlobal searching')
globalNet = search_util.findLargestNetwork(exe, int(localNet[5]),
minbandwidth, gdimensions,
gdimensions, None, None,
verbose)
lock.acquire()
results[maxradix] = (localNet, globalNet)
lock.release()
