/usr/lib/python2.7/dist-packages/networkx/utils/tests/test_misc.py is in python-networkx 1.8.1-0ubuntu3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | from nose.tools import *
from nose import SkipTest
import networkx as nx
from networkx.utils import *
def test_is_string_like():
assert_true(is_string_like("aaaa"))
assert_false(is_string_like(None))
assert_false(is_string_like(123))
def test_iterable():
assert_false(iterable(None))
assert_false(iterable(10))
assert_true(iterable([1,2,3]))
assert_true(iterable((1,2,3)))
assert_true(iterable({1:"A",2:"X"}))
assert_true(iterable("ABC"))
def test_graph_iterable():
K=nx.complete_graph(10)
assert_true(iterable(K))
assert_true(iterable(K.nodes_iter()))
assert_true(iterable(K.edges_iter()))
def test_is_list_of_ints():
assert_true(is_list_of_ints([1,2,3,42]))
assert_false(is_list_of_ints([1,2,3,"kermit"]))
def test_random_number_distribution():
# smoke test only
z=uniform_sequence(20)
z=powerlaw_sequence(20,exponent=2.5)
z=pareto_sequence(20,exponent=1.5)
z=discrete_sequence(20,distribution=[0,0,0,0,1,1,1,1,2,2,3])
class TestNumpyArray(object):
numpy=1 # nosetests attribute, use nosetests -a 'not numpy' to skip test
@classmethod
def setupClass(cls):
global numpy
global assert_equal
global assert_almost_equal
try:
import numpy
from numpy.testing import assert_equal,assert_almost_equal
except ImportError:
raise SkipTest('NumPy not available.')
def test_dict_to_numpy_array1(self):
d = {'a':1,'b':2}
a = dict_to_numpy_array1(d)
assert_equal(a, numpy.array([1,2]))
a = dict_to_numpy_array1(d, mapping = {'b':0,'a':1})
assert_equal(a, numpy.array([2,1]))
def test_dict_to_numpy_array2(self):
d = {'a': {'a':1,'b':2},
'b': {'a':10,'b':20}}
a = dict_to_numpy_array(d)
assert_equal(a, numpy.array([[1,2],[10,20]]))
a = dict_to_numpy_array2(d, mapping = {'b':0,'a':1})
assert_equal(a, numpy.array([[20,10],[2,1]]))
def test_dict_to_numpy_array(self):
d = {'a': {'a':1,'b':2},
'b': {'a':10,'b':20}}
a = dict_to_numpy_array(d)
assert_equal(a, numpy.array([[1,2],[10,20]]))
d = {'a':1,'b':2}
a = dict_to_numpy_array1(d)
assert_equal(a, numpy.array([1,2]))
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