dschult

###########################################################
#### Summary All Tests:
(('()', 6, False), <class 'numpy.int32'>): 9920
(('()', 4, False), <class 'numpy.int32'>): 8393
(('(array([0, 0, 1, 1, 2, 3], dtype=int32), array([4, 5, 0, 1, 1, 0], dtype=int32))', 6, False), <class 'numpy.int32'>): 3654
(('()', 5, False), <class 'numpy.int32'>): 3441
(('()', 3, False), <class 'numpy.int32'>): 3402
(('(array([1, 2, 0, 1, 2, 0, 1, 2], dtype=int32), array([0, 2, 5, 8], dtype=int32))', 3, True), <class 'numpy.int32'>): 3247
(('(array([0, 3, 0, 2, 1], dtype=int32), array([0, 2, 4, 5], dtype=int32))', 4, True), <class 'numpy.int32'>): 3129
(('(array([0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2], dtype=int32), array([0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3], dtype=int32))', 4, False), <class 'numpy.int32'>): 2791

dschult

# See the bottom for demo lines that print desired output
#
# key idea:  store the nD array as a 2D array by raveling
#            some axes into the rows and some axes into the columns.
#
# element-wise operations work nicely with the 2D version of the array
# and can be converted back to nD when needed.
# 
# Two important functions here are `get_2d_coords` and `get_nd_coords`
# which convert between nD and 2D coords. The data elements stay in the 

dschult

from timeit import Timer

# This is gratefully modeled after the benchmarks found in 
# the numpy svn repository.  http://svn.scipy.org/svn/numpy/trunk

import networkx as nx

class Benchmark(object):
    """
    Benchmark a method or simple bit of code using different Graph classes.

dschult

from __future__ import print_function

class NodesView(object):
    def __init__(self, graph, data=False, default=None):
        self.G = graph
        self.data = data
        self.default = default
    def __iter__(self):
        data=self.data
        if data is True: