def test_float_roundtrip(self):
info = sys.float_info
inf = float("inf")
nan = float("nan")
self.assertEqual(1.0, serialize.load(serialize.dump(1.0)))
self.assertEqual(-1.0, serialize.load(serialize.dump(-1.0)))
self.assertEqual(info.min, serialize.load(serialize.dump(info.min)))
self.assertEqual(info.max, serialize.load(serialize.dump(info.max)))
self.assertEqual(inf, serialize.load(serialize.dump(inf)))
self.assertEqual(-inf, serialize.load(serialize.dump(-inf)))
self.assertTrue(math.isnan(serialize.load(serialize.dump(nan))))
python类float_info()的实例源码
def rank(self):
ws = defaultdict(float)
outSum = defaultdict(float)
wsdef = 1.0 / (len(self.graph) or 1.0)
for n, out in self.graph.items():
ws[n] = wsdef
outSum[n] = sum((e[2] for e in out), 0.0)
# this line for build stable iteration
sorted_keys = sorted(self.graph.keys())
for x in xrange(10): # 10 iters
for n in sorted_keys:
s = 0
for e in self.graph[n]:
s += e[2] / outSum[e[1]] * ws[e[1]]
ws[n] = (1 - self.d) + self.d * s
(min_rank, max_rank) = (sys.float_info[0], sys.float_info[3])
for w in itervalues(ws):
if w < min_rank:
min_rank = w
if w > max_rank:
max_rank = w
for n, w in ws.items():
# to unify the weights, don't *100.
ws[n] = (w - min_rank / 10.0) / (max_rank - min_rank / 10.0)
return ws
def rank(self):
ws = defaultdict(float)
outSum = defaultdict(float)
wsdef = 1.0 / (len(self.graph) or 1.0)
for n, out in self.graph.items():
ws[n] = wsdef
outSum[n] = sum((e[2] for e in out), 0.0)
# this line for build stable iteration
sorted_keys = sorted(self.graph.keys())
for x in xrange(10): # 10 iters
for n in sorted_keys:
s = 0
for e in self.graph[n]:
s += e[2] / outSum[e[1]] * ws[e[1]]
ws[n] = (1 - self.d) + self.d * s
(min_rank, max_rank) = (sys.float_info[0], sys.float_info[3])
for w in itervalues(ws):
if w < min_rank:
min_rank = w
if w > max_rank:
max_rank = w
for n, w in ws.items():
# to unify the weights, don't *100.
ws[n] = (w - min_rank / 10.0) / (max_rank - min_rank / 10.0)
return ws
def rank(self):
ws = collections.defaultdict(float)
outSum = collections.defaultdict(float)
wsdef = 1.0 / (len(self.graph) or 1.0)
for n, out in self.graph.items():
ws[n] = wsdef
outSum[n] = sum((e[1] for e in out), 0.0)
# this line for build stable iteration
sorted_keys = sorted(self.graph.keys())
for x in range(10): # 10 iters
for n in sorted_keys:
s = 0
for e in self.graph[n]:
if outSum[e[0]] and ws[e[0]]:
s += e[1] / outSum[e[0]] * ws[e[0]]
ws[n] = (1 - self.d) + self.d * s
(min_rank, max_rank) = (sys.float_info[0], sys.float_info[3])
for w in ws.values():
if w < min_rank:
min_rank = w
elif w > max_rank:
max_rank = w
for n, w in ws.items():
# to unify the weights, don't *100.
ws[n] = (w - min_rank / 10.0) / (max_rank - min_rank / 10.0)
return ws
def rank(self):
ws = defaultdict(float)
outSum = defaultdict(float)
wsdef = 1.0 / (len(self.graph) or 1.0)
for n, out in self.graph.items():
ws[n] = wsdef
outSum[n] = sum((e[2] for e in out), 0.0)
# this line for build stable iteration
sorted_keys = sorted(self.graph.keys())
for x in xrange(10): # 10 iters
for n in sorted_keys:
s = 0
for e in self.graph[n]:
s += e[2] / outSum[e[1]] * ws[e[1]]
ws[n] = (1 - self.d) + self.d * s
(min_rank, max_rank) = (sys.float_info[0], sys.float_info[3])
for w in itervalues(ws):
if w < min_rank:
min_rank = w
if w > max_rank:
max_rank = w
for n, w in ws.items():
# to unify the weights, don't *100.
ws[n] = (w - min_rank / 10.0) / (max_rank - min_rank / 10.0)
return ws
def rank(self):
ws = defaultdict(float)
outSum = defaultdict(float)
wsdef = 1.0 / (len(self.graph) or 1.0)
for n, out in self.graph.items():
ws[n] = wsdef
outSum[n] = sum((e[2] for e in out), 0.0)
# this line for build stable iteration
sorted_keys = sorted(self.graph.keys())
for x in xrange(10): # 10 iters
for n in sorted_keys:
s = 0
for e in self.graph[n]:
s += e[2] / outSum[e[1]] * ws[e[1]]
ws[n] = (1 - self.d) + self.d * s
(min_rank, max_rank) = (sys.float_info[0], sys.float_info[3])
for w in itervalues(ws):
if w < min_rank:
min_rank = w
if w > max_rank:
max_rank = w
for n, w in ws.items():
# to unify the weights, don't *100.
ws[n] = (w - min_rank / 10.0) / (max_rank - min_rank / 10.0)
return ws
def rank(self):
ws = defaultdict(float)
outSum = defaultdict(float)
wsdef = 1.0 / (len(self.graph) or 1.0)
for n, out in self.graph.items():
ws[n] = wsdef
outSum[n] = sum((e[2] for e in out), 0.0)
# this line for build stable iteration
sorted_keys = sorted(self.graph.keys())
for x in xrange(10): # 10 iters
for n in sorted_keys:
s = 0
for e in self.graph[n]:
s += e[2] / outSum[e[1]] * ws[e[1]]
ws[n] = (1 - self.d) + self.d * s
(min_rank, max_rank) = (sys.float_info[0], sys.float_info[3])
for w in itervalues(ws):
if w < min_rank:
min_rank = w
if w > max_rank:
max_rank = w
for n, w in ws.items():
# to unify the weights, don't *100.
ws[n] = (w - min_rank / 10.0) / (max_rank - min_rank / 10.0)
return ws
def rank(self):
ws = defaultdict(float)
outSum = defaultdict(float)
wsdef = 1.0 / (len(self.graph) or 1.0)
for n, out in self.graph.items():
ws[n] = wsdef
outSum[n] = sum((e[2] for e in out), 0.0)
# this line for build stable iteration
sorted_keys = sorted(self.graph.keys())
for x in xrange(10): # 10 iters
for n in sorted_keys:
s = 0
for e in self.graph[n]:
s += e[2] / outSum[e[1]] * ws[e[1]]
ws[n] = (1 - self.d) + self.d * s
(min_rank, max_rank) = (sys.float_info[0], sys.float_info[3])
for w in itervalues(ws):
if w < min_rank:
min_rank = w
if w > max_rank:
max_rank = w
for n, w in ws.items():
# to unify the weights, don't *100.
ws[n] = (w - min_rank / 10.0) / (max_rank - min_rank / 10.0)
return ws
def rank(self):
ws = defaultdict(float)
outSum = defaultdict(float)
wsdef = 1.0 / (len(self.graph) or 1.0)
for n, out in self.graph.items():
ws[n] = wsdef
outSum[n] = sum((e[2] for e in out), 0.0)
# this line for build stable iteration
sorted_keys = sorted(self.graph.keys())
for x in xrange(10): # 10 iters
for n in sorted_keys:
s = 0
for e in self.graph[n]:
s += e[2] / outSum[e[1]] * ws[e[1]]
ws[n] = (1 - self.d) + self.d * s
(min_rank, max_rank) = (sys.float_info[0], sys.float_info[3])
for w in itervalues(ws):
if w < min_rank:
min_rank = w
if w > max_rank:
max_rank = w
for n, w in ws.items():
# to unify the weights, don't *100.
ws[n] = (w - min_rank / 10.0) / (max_rank - min_rank / 10.0)
return ws
def test_attributes(self):
self.assertIsInstance(sys.api_version, int)
self.assertIsInstance(sys.argv, list)
self.assertIn(sys.byteorder, ("little", "big"))
self.assertIsInstance(sys.builtin_module_names, tuple)
self.assertIsInstance(sys.copyright, basestring)
self.assertIsInstance(sys.exec_prefix, basestring)
self.assertIsInstance(sys.executable, basestring)
self.assertEqual(len(sys.float_info), 11)
self.assertEqual(sys.float_info.radix, 2)
self.assertEqual(len(sys.long_info), 2)
self.assertTrue(sys.long_info.bits_per_digit % 5 == 0)
self.assertTrue(sys.long_info.sizeof_digit >= 1)
self.assertEqual(type(sys.long_info.bits_per_digit), int)
self.assertEqual(type(sys.long_info.sizeof_digit), int)
self.assertIsInstance(sys.hexversion, int)
self.assertIsInstance(sys.maxint, int)
if test.test_support.have_unicode:
self.assertIsInstance(sys.maxunicode, int)
self.assertIsInstance(sys.platform, basestring)
self.assertIsInstance(sys.prefix, basestring)
self.assertIsInstance(sys.version, basestring)
vi = sys.version_info
self.assertIsInstance(vi[:], tuple)
self.assertEqual(len(vi), 5)
self.assertIsInstance(vi[0], int)
self.assertIsInstance(vi[1], int)
self.assertIsInstance(vi[2], int)
self.assertIn(vi[3], ("alpha", "beta", "candidate", "final"))
self.assertIsInstance(vi[4], int)
self.assertIsInstance(vi.major, int)
self.assertIsInstance(vi.minor, int)
self.assertIsInstance(vi.micro, int)
self.assertIn(vi.releaselevel, ("alpha", "beta", "candidate", "final"))
self.assertIsInstance(vi.serial, int)
self.assertEqual(vi[0], vi.major)
self.assertEqual(vi[1], vi.minor)
self.assertEqual(vi[2], vi.micro)
self.assertEqual(vi[3], vi.releaselevel)
self.assertEqual(vi[4], vi.serial)
self.assertTrue(vi > (1,0,0))
self.assertIsInstance(sys.float_repr_style, str)
self.assertIn(sys.float_repr_style, ('short', 'legacy'))
def test_attributes(self):
self.assertIsInstance(sys.api_version, int)
self.assertIsInstance(sys.argv, list)
self.assertIn(sys.byteorder, ("little", "big"))
self.assertIsInstance(sys.builtin_module_names, tuple)
self.assertIsInstance(sys.copyright, basestring)
self.assertIsInstance(sys.exec_prefix, basestring)
self.assertIsInstance(sys.executable, basestring)
self.assertEqual(len(sys.float_info), 11)
self.assertEqual(sys.float_info.radix, 2)
self.assertEqual(len(sys.long_info), 2)
self.assertTrue(sys.long_info.bits_per_digit % 5 == 0)
self.assertTrue(sys.long_info.sizeof_digit >= 1)
self.assertEqual(type(sys.long_info.bits_per_digit), int)
self.assertEqual(type(sys.long_info.sizeof_digit), int)
self.assertIsInstance(sys.hexversion, int)
self.assertIsInstance(sys.maxint, int)
if test.test_support.have_unicode:
self.assertIsInstance(sys.maxunicode, int)
self.assertIsInstance(sys.platform, basestring)
self.assertIsInstance(sys.prefix, basestring)
self.assertIsInstance(sys.version, basestring)
vi = sys.version_info
self.assertIsInstance(vi[:], tuple)
self.assertEqual(len(vi), 5)
self.assertIsInstance(vi[0], int)
self.assertIsInstance(vi[1], int)
self.assertIsInstance(vi[2], int)
self.assertIn(vi[3], ("alpha", "beta", "candidate", "final"))
self.assertIsInstance(vi[4], int)
self.assertIsInstance(vi.major, int)
self.assertIsInstance(vi.minor, int)
self.assertIsInstance(vi.micro, int)
self.assertIn(vi.releaselevel, ("alpha", "beta", "candidate", "final"))
self.assertIsInstance(vi.serial, int)
self.assertEqual(vi[0], vi.major)
self.assertEqual(vi[1], vi.minor)
self.assertEqual(vi[2], vi.micro)
self.assertEqual(vi[3], vi.releaselevel)
self.assertEqual(vi[4], vi.serial)
self.assertTrue(vi > (1,0,0))
self.assertIsInstance(sys.float_repr_style, str)
self.assertIn(sys.float_repr_style, ('short', 'legacy'))
def test_attributes(self):
self.assertIsInstance(sys.api_version, int)
self.assertIsInstance(sys.argv, list)
self.assertIn(sys.byteorder, ("little", "big"))
self.assertIsInstance(sys.builtin_module_names, tuple)
self.assertIsInstance(sys.copyright, basestring)
self.assertIsInstance(sys.exec_prefix, basestring)
self.assertIsInstance(sys.executable, basestring)
self.assertEqual(len(sys.float_info), 11)
self.assertEqual(sys.float_info.radix, 2)
self.assertEqual(len(sys.long_info), 2)
if test.test_support.check_impl_detail(cpython=True):
self.assertTrue(sys.long_info.bits_per_digit % 5 == 0)
else:
self.assertTrue(sys.long_info.bits_per_digit >= 1)
self.assertTrue(sys.long_info.sizeof_digit >= 1)
self.assertEqual(type(sys.long_info.bits_per_digit), int)
self.assertEqual(type(sys.long_info.sizeof_digit), int)
self.assertIsInstance(sys.hexversion, int)
self.assertIsInstance(sys.maxint, int)
if test.test_support.have_unicode:
self.assertIsInstance(sys.maxunicode, int)
self.assertIsInstance(sys.platform, basestring)
self.assertIsInstance(sys.prefix, basestring)
self.assertIsInstance(sys.version, basestring)
vi = sys.version_info
self.assertIsInstance(vi[:], tuple)
self.assertEqual(len(vi), 5)
self.assertIsInstance(vi[0], int)
self.assertIsInstance(vi[1], int)
self.assertIsInstance(vi[2], int)
self.assertIn(vi[3], ("alpha", "beta", "candidate", "final"))
self.assertIsInstance(vi[4], int)
self.assertIsInstance(vi.major, int)
self.assertIsInstance(vi.minor, int)
self.assertIsInstance(vi.micro, int)
self.assertIn(vi.releaselevel, ("alpha", "beta", "candidate", "final"))
self.assertIsInstance(vi.serial, int)
self.assertEqual(vi[0], vi.major)
self.assertEqual(vi[1], vi.minor)
self.assertEqual(vi[2], vi.micro)
self.assertEqual(vi[3], vi.releaselevel)
self.assertEqual(vi[4], vi.serial)
self.assertTrue(vi > (1,0,0))
self.assertIsInstance(sys.float_repr_style, str)
self.assertIn(sys.float_repr_style, ('short', 'legacy'))
def test_attributes(self):
self.assertIsInstance(sys.api_version, int)
self.assertIsInstance(sys.argv, list)
self.assertIn(sys.byteorder, ("little", "big"))
self.assertIsInstance(sys.builtin_module_names, tuple)
self.assertIsInstance(sys.copyright, basestring)
self.assertIsInstance(sys.exec_prefix, basestring)
self.assertIsInstance(sys.executable, basestring)
self.assertEqual(len(sys.float_info), 11)
self.assertEqual(sys.float_info.radix, 2)
self.assertEqual(len(sys.long_info), 2)
self.assertTrue(sys.long_info.bits_per_digit % 5 == 0)
self.assertTrue(sys.long_info.sizeof_digit >= 1)
self.assertEqual(type(sys.long_info.bits_per_digit), int)
self.assertEqual(type(sys.long_info.sizeof_digit), int)
self.assertIsInstance(sys.hexversion, int)
self.assertIsInstance(sys.maxint, int)
if test.test_support.have_unicode:
self.assertIsInstance(sys.maxunicode, int)
self.assertIsInstance(sys.platform, basestring)
self.assertIsInstance(sys.prefix, basestring)
self.assertIsInstance(sys.version, basestring)
vi = sys.version_info
self.assertIsInstance(vi[:], tuple)
self.assertEqual(len(vi), 5)
self.assertIsInstance(vi[0], int)
self.assertIsInstance(vi[1], int)
self.assertIsInstance(vi[2], int)
self.assertIn(vi[3], ("alpha", "beta", "candidate", "final"))
self.assertIsInstance(vi[4], int)
self.assertIsInstance(vi.major, int)
self.assertIsInstance(vi.minor, int)
self.assertIsInstance(vi.micro, int)
self.assertIn(vi.releaselevel, ("alpha", "beta", "candidate", "final"))
self.assertIsInstance(vi.serial, int)
self.assertEqual(vi[0], vi.major)
self.assertEqual(vi[1], vi.minor)
self.assertEqual(vi[2], vi.micro)
self.assertEqual(vi[3], vi.releaselevel)
self.assertEqual(vi[4], vi.serial)
self.assertTrue(vi > (1,0,0))
self.assertIsInstance(sys.float_repr_style, str)
self.assertIn(sys.float_repr_style, ('short', 'legacy'))
