def test_neg_array(self):
self.check_array_op(operator.neg)
python类neg()的实例源码
def test_neg_zerodim(self):
self.check_zerodim_op(operator.neg)
def setUp(self):
super(CoreUnaryOpsTest, self).setUp()
self.ops = [
('abs', operator.abs, tf.abs, core.abs_function),
('neg', operator.neg, tf.neg, core.neg),
# TODO(shoyer): add unary + to core TensorFlow
('pos', None, None, None),
('sign', None, tf.sign, core.sign),
('reciprocal', None, tf.reciprocal, core.reciprocal),
('square', None, tf.square, core.square),
('round', None, tf.round, core.round_function),
('sqrt', None, tf.sqrt, core.sqrt),
('rsqrt', None, tf.rsqrt, core.rsqrt),
('log', None, tf.log, core.log),
('exp', None, tf.exp, core.exp),
('log', None, tf.log, core.log),
('ceil', None, tf.ceil, core.ceil),
('floor', None, tf.floor, core.floor),
('cos', None, tf.cos, core.cos),
('sin', None, tf.sin, core.sin),
('tan', None, tf.tan, core.tan),
('acos', None, tf.acos, core.acos),
('asin', None, tf.asin, core.asin),
('atan', None, tf.atan, core.atan),
('lgamma', None, tf.lgamma, core.lgamma),
('digamma', None, tf.digamma, core.digamma),
('erf', None, tf.erf, core.erf),
('erfc', None, tf.erfc, core.erfc),
('lgamma', None, tf.lgamma, core.lgamma),
]
total_size = np.prod([v.size for v in self.original_lt.axes.values()])
self.test_lt = core.LabeledTensor(
tf.cast(self.original_lt, tf.float32) / total_size,
self.original_lt.axes)
def __neg__(self):
return NonStandardInteger(operator.neg(self.val))
def test_neg(self):
self.assertRaises(TypeError, operator.neg)
self.assertRaises(TypeError, operator.neg, None)
self.assertEqual(operator.neg(5), -5)
self.assertEqual(operator.neg(-5), 5)
self.assertEqual(operator.neg(0), 0)
self.assertEqual(operator.neg(-0), 0)
def test_map(self):
self.assertEqual(list(map(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
self.assertEqual(list(map(tupleize, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(map(tupleize, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,map(tupleize, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(map(operator.pow, [])), [])
self.assertRaises(TypeError, map)
self.assertRaises(TypeError, list, map(None, range(3), range(3)))
self.assertRaises(TypeError, map, operator.neg)
self.assertRaises(TypeError, next, map(10, range(5)))
self.assertRaises(ValueError, next, map(errfunc, [4], [5]))
self.assertRaises(TypeError, next, map(onearg, [4], [5]))
# check copy, deepcopy, pickle
ans = [('a',0),('b',1),('c',2)]
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.copy(c)), ans)
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.deepcopy(c)), ans)
c = map(tupleize, 'abc', count())
self.pickletest(c)
def test_max(self):
self.assertEqual(max('123123'), '3')
self.assertEqual(max(1, 2, 3), 3)
self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)
self.assertEqual(max(1, 2, 3.0), 3.0)
self.assertEqual(max(1, 2.0, 3), 3)
self.assertEqual(max(1.0, 2, 3), 3)
for stmt in (
"max(key=int)", # no args
"max(1, key=int)", # single arg not iterable
"max(1, 2, keystone=int)", # wrong keyword
"max(1, 2, key=int, abc=int)", # two many keywords
"max(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt, globals())
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(max((1,), key=neg), 1) # one elem iterable
self.assertEqual(max((1,2), key=neg), 1) # two elem iterable
self.assertEqual(max(1, 2, key=neg), 1) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(max(data, key=f),
sorted(reversed(data), key=f)[-1])
def test_min(self):
self.assertEqual(min('123123'), '1')
self.assertEqual(min(1, 2, 3), 1)
self.assertEqual(min((1, 2, 3, 1, 2, 3)), 1)
self.assertEqual(min([1, 2, 3, 1, 2, 3]), 1)
self.assertEqual(min(1, 2, 3.0), 1)
self.assertEqual(min(1, 2.0, 3), 1)
self.assertEqual(min(1.0, 2, 3), 1.0)
self.assertRaises(TypeError, min)
self.assertRaises(TypeError, min, 42)
self.assertRaises(ValueError, min, ())
class BadSeq:
def __getitem__(self, index):
raise ValueError
self.assertRaises(ValueError, min, BadSeq())
for stmt in (
"min(key=int)", # no args
"min(1, key=int)", # single arg not iterable
"min(1, 2, keystone=int)", # wrong keyword
"min(1, 2, key=int, abc=int)", # two many keywords
"min(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt, globals())
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(min((1,), key=neg), 1) # one elem iterable
self.assertEqual(min((1,2), key=neg), 2) # two elem iterable
self.assertEqual(min(1, 2, key=neg), 2) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(min(data, key=f),
sorted(data, key=f)[0])
def __neg__(self):
return Vec2d(operator.neg(self.x), operator.neg(self.y))
generic.py 文件源码
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda
作者: SignalMedia
项目源码
文件源码
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def __neg__(self):
values = _values_from_object(self)
if values.dtype == np.bool_:
arr = operator.inv(values)
else:
arr = operator.neg(values)
return self.__array_wrap__(arr)
generic.py 文件源码
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda
作者: SignalMedia
项目源码
文件源码
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def take(self, indices, axis=0, convert=True, is_copy=True):
"""
Analogous to ndarray.take
Parameters
----------
indices : list / array of ints
axis : int, default 0
convert : translate neg to pos indices (default)
is_copy : mark the returned frame as a copy
Returns
-------
taken : type of caller
"""
self._consolidate_inplace()
new_data = self._data.take(indices,
axis=self._get_block_manager_axis(axis),
convert=True, verify=True)
result = self._constructor(new_data).__finalize__(self)
# maybe set copy if we didn't actually change the index
if is_copy:
if not result._get_axis(axis).equals(self._get_axis(axis)):
result._set_is_copy(self)
return result
test_deprecations.py 文件源码
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda
作者: SignalMedia
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def test_unary_minus_operator_deprecation(self):
array = np.array([True])
generic = np.bool_(True)
# Unary minus/negative ufunc:
self.assert_deprecated(operator.neg, args=(array,))
self.assert_deprecated(operator.neg, args=(generic,))
def negative(x):
"""
Like -x, except that a zero dimensional numpy array input results in a numpy array return value.
This works on garrays, numpy arrays, and numbers, preserving type (though all numbers become floats).
"""
return _elementwise__base(x, operator.neg, operator.neg)
def all_fields(self, **kwargs):
return [
self.build_help_field(),
{
'type': 'unicode',
'required': True,
'key': 'operation',
'choices': 'add|Add,sub|Subtract,mul|Multiply,div|Divide,neg|Make Negative',
'help_text': 'The math operation to perform.'
},
self.build_list_input_field()
]
def test_unary_minus_operator_deprecation(self):
array = np.array([True])
generic = np.bool_(True)
# Unary minus/negative ufunc:
self.assert_deprecated(operator.neg, args=(array,))
self.assert_deprecated(operator.neg, args=(generic,))
def __neg__(self): return _op1(self, operator.neg)
def test_neg(self):
self.assertRaises(TypeError, operator.neg)
self.assertRaises(TypeError, operator.neg, None)
self.assertTrue(operator.neg(5) == -5)
self.assertTrue(operator.neg(-5) == 5)
self.assertTrue(operator.neg(0) == 0)
self.assertTrue(operator.neg(-0) == 0)
def test_imap(self):
self.assertEqual(list(imap(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
self.assertEqual(list(imap(None, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(imap(None, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,imap(None, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(imap(operator.pow, [])), [])
self.assertRaises(TypeError, imap)
self.assertRaises(TypeError, imap, operator.neg)
self.assertRaises(TypeError, imap(10, range(5)).next)
self.assertRaises(ValueError, imap(errfunc, [4], [5]).next)
self.assertRaises(TypeError, imap(onearg, [4], [5]).next)
def test_max(self):
self.assertEqual(max('123123'), '3')
self.assertEqual(max(1, 2, 3), 3)
self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)
self.assertEqual(max(1, 2L, 3.0), 3.0)
self.assertEqual(max(1L, 2.0, 3), 3)
self.assertEqual(max(1.0, 2, 3L), 3L)
for stmt in (
"max(key=int)", # no args
"max(1, key=int)", # single arg not iterable
"max(1, 2, keystone=int)", # wrong keyword
"max(1, 2, key=int, abc=int)", # two many keywords
"max(1, 2, key=1)", # keyfunc is not callable
):
try:
exec(stmt) in globals()
except TypeError:
pass
else:
self.fail(stmt)
self.assertEqual(max((1,), key=neg), 1) # one elem iterable
self.assertEqual(max((1,2), key=neg), 1) # two elem iterable
self.assertEqual(max(1, 2, key=neg), 1) # two elems
data = [random.randrange(200) for i in range(100)]
keys = dict((elem, random.randrange(50)) for elem in data)
f = keys.__getitem__
self.assertEqual(max(data, key=f),
sorted(reversed(data), key=f)[-1])
def test_map(self):
self.assertEqual(list(map(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
self.assertEqual(list(map(tupleize, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(map(tupleize, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,map(tupleize, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(map(operator.pow, [])), [])
self.assertRaises(TypeError, map)
self.assertRaises(TypeError, list, map(None, range(3), range(3)))
self.assertRaises(TypeError, map, operator.neg)
self.assertRaises(TypeError, next, map(10, range(5)))
self.assertRaises(ValueError, next, map(errfunc, [4], [5]))
self.assertRaises(TypeError, next, map(onearg, [4], [5]))
# check copy, deepcopy, pickle
ans = [('a',0),('b',1),('c',2)]
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.copy(c)), ans)
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.deepcopy(c)), ans)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
c = map(tupleize, 'abc', count())
self.pickletest(proto, c)
