本文整理汇总了Python中numpy.core.isscalar函数的典型用法代码示例。如果您正苦于以下问题：Python isscalar函数的具体用法？Python isscalar怎么用？Python isscalar使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了isscalar函数的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __pow__
def __pow__(self, val):
if not isscalar(val) or int(val) != val or val < 0:
raise ValueError("Power to non-negative integers only.")
res = [1]
for _ in range(val):
res = polymul(self.coeffs, res)
return poly1d(res)示例2: __rdiv__
def __rdiv__(self, other):
if isscalar(other):
return poly1d(other/self.coeffs)
else:
other = poly1d(other)
return polydiv(other, self)示例3: __div__
def __div__(self, other):
if isscalar(other):
return poly1d(self.coeffs/other)
else:
other = poly1d(other)
return polydiv(self, other)示例4: __rmul__
def __rmul__(self, other):
if isscalar(other):
return poly1d(other * self.coeffs)
else:
other = poly1d(other)
return poly1d(polymul(self.coeffs, other.coeffs))示例5: assert_equal
def assert_equal(actual,desired,err_msg='',verbose=True):
"""
Raise an assertion if two objects are not equal.
Given two objects (lists, tuples, dictionaries or numpy arrays), check
that all elements of these objects are equal. An exception is raised at
the first conflicting values.
Parameters
----------
actual : list, tuple, dict or ndarray
The object to check.
desired : list, tuple, dict or ndarray
The expected object.
err_msg : string
The error message to be printed in case of failure.
verbose : bool
If True, the conflicting values are appended to the error message.
Raises
------
AssertionError
If actual and desired are not equal.
Examples
--------
>>> np.testing.assert_equal([4,5], [4,6])
...
<type 'exceptions.AssertionError'>:
Items are not equal:
item=1
ACTUAL: 5
DESIRED: 6
"""
if isinstance(desired, dict):
if not isinstance(actual, dict) :
raise AssertionError(repr(type(actual)))
assert_equal(len(actual),len(desired),err_msg,verbose)
for k,i in desired.items():
if k not in actual :
raise AssertionError(repr(k))
assert_equal(actual[k], desired[k], 'key=%r\n%s' % (k,err_msg), verbose)
return
if isinstance(desired, (list,tuple)) and isinstance(actual, (list,tuple)):
assert_equal(len(actual),len(desired),err_msg,verbose)
for k in range(len(desired)):
assert_equal(actual[k], desired[k], 'item=%r\n%s' % (k,err_msg), verbose)
return
from numpy.core import ndarray, isscalar, signbit
from numpy.lib import iscomplexobj, real, imag
if isinstance(actual, ndarray) or isinstance(desired, ndarray):
return assert_array_equal(actual, desired, err_msg, verbose)
msg = build_err_msg([actual, desired], err_msg, verbose=verbose)
# Handle complex numbers: separate into real/imag to handle
# nan/inf/negative zero correctly
# XXX: catch ValueError for subclasses of ndarray where iscomplex fail
try:
usecomplex = iscomplexobj(actual) or iscomplexobj(desired)
except ValueError:
usecomplex = False
if usecomplex:
if iscomplexobj(actual):
actualr = real(actual)
actuali = imag(actual)
else:
actualr = actual
actuali = 0
if iscomplexobj(desired):
desiredr = real(desired)
desiredi = imag(desired)
else:
desiredr = desired
desiredi = 0
try:
assert_equal(actualr, desiredr)
assert_equal(actuali, desiredi)
except AssertionError:
raise AssertionError("Items are not equal:\n" \
"ACTUAL: %s\n" \
"DESIRED: %s\n" % (str(actual), str(desired)))
# Inf/nan/negative zero handling
try:
# isscalar test to check cases such as [np.nan] != np.nan
if isscalar(desired) != isscalar(actual):
raise AssertionError(msg)
# If one of desired/actual is not finite, handle it specially here:
# check that both are nan if any is a nan, and test for equality
# otherwise
if not (gisfinite(desired) and gisfinite(actual)):
isdesnan = gisnan(desired)
isactnan = gisnan(actual)
if isdesnan or isactnan:
if not (isdesnan and isactnan):
raise AssertionError(msg)
else:
#.........这里部分代码省略.........