/usr/lib/python2.7/dist-packages/networkx/utils/tests/test_misc.py is in python-networkx 1.11-1ubuntu2.
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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])
def test_make_str_with_bytes():
import sys
PY2 = sys.version_info[0] == 2
x = "qualité"
y = make_str(x)
if PY2:
assert_true(isinstance(y, unicode))
# Since file encoding is utf-8, the é will be two bytes.
assert_true(len(y) == 8)
else:
assert_true(isinstance(y, str))
assert_true(len(y) == 7)
def test_make_str_with_unicode():
import sys
PY2 = sys.version_info[0] == 2
if PY2:
x = unicode("qualité", encoding='utf-8')
y = make_str(x)
assert_true(isinstance(y, unicode))
assert_true(len(y) == 7)
else:
x = "qualité"
y = make_str(x)
assert_true(isinstance(y, str))
assert_true(len(y) == 7)
class TestNumpyArray(object):
@classmethod
def setupClass(cls):
global numpy
global assert_allclose
try:
import numpy
from numpy.testing import assert_allclose
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, mapping={'a':0, 'b':1})
assert_allclose(a, numpy.array([1,2]))
a = dict_to_numpy_array1(d, mapping={'b':0, 'a':1})
assert_allclose(a, numpy.array([2,1]))
a = dict_to_numpy_array1(d)
assert_allclose(a.sum(), 3)
def test_dict_to_numpy_array2(self):
d = {'a': {'a':1,'b':2},
'b': {'a':10,'b':20}}
mapping = {'a':1, 'b': 0}
a = dict_to_numpy_array2(d, mapping=mapping)
assert_allclose(a, numpy.array([[20,10],[2,1]]))
a = dict_to_numpy_array2(d)
assert_allclose(a.sum(), 33)
def test_dict_to_numpy_array_a(self):
d = {'a': {'a':1,'b':2},
'b': {'a':10,'b':20}}
mapping = {'a':0, 'b': 1}
a = dict_to_numpy_array(d, mapping=mapping)
assert_allclose(a, numpy.array([[1,2],[10,20]]))
mapping = {'a':1, 'b': 0}
a = dict_to_numpy_array(d, mapping=mapping)
assert_allclose(a, numpy.array([[20,10],[2,1]]))
a = dict_to_numpy_array2(d)
assert_allclose(a.sum(), 33)
def test_dict_to_numpy_array_b(self):
d = {'a':1,'b':2}
mapping = {'a': 0, 'b': 1}
a = dict_to_numpy_array(d, mapping=mapping)
assert_allclose(a, numpy.array([1,2]))
a = dict_to_numpy_array1(d)
assert_allclose(a.sum(), 3)
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