def parallel_diffs(rc, num, N):
nengines = len(rc.targets)
num_per_engine = num/nengines
print "Running with", num_per_engine, "per engine."
ar = rc.apply_async(ensemble_diffs, num_per_engine, N)
diffs = np.array(ar.get()).flatten()
normalized_diffs = normalize_diffs(diffs)
return normalized_diffs
def serial_diffs(num, N):
"""Compute the nearest neighbor distribution for num NxX matrices."""
diffs = ensemble_diffs(num, N)
normalized_diffs = normalize_diffs(diffs)
return normalized_diffs
