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()