Ñò
\ÐKc @ s5 d Z d d k Td „ Z e d j o e ƒ n d S( sv
>>> import numpy.core as nx
>>> import numpy.lib.ufunclike as U
Test fix:
>>> a = nx.array([[1.0, 1.1, 1.5, 1.8], [-1.0, -1.1, -1.5, -1.8]])
>>> U.fix(a)
array([[ 1., 1., 1., 1.],
[-1., -1., -1., -1.]])
>>> y = nx.zeros(a.shape, float)
>>> U.fix(a, y)
array([[ 1., 1., 1., 1.],
[-1., -1., -1., -1.]])
>>> y
array([[ 1., 1., 1., 1.],
[-1., -1., -1., -1.]])
Test isposinf, isneginf, sign
>>> a = nx.array([nx.Inf, -nx.Inf, nx.NaN, 0.0, 3.0, -3.0])
>>> U.isposinf(a)
array([ True, False, False, False, False, False], dtype=bool)
>>> U.isneginf(a)
array([False, True, False, False, False, False], dtype=bool)
>>> olderr = nx.seterr(invalid='ignore')
>>> nx.sign(a)
array([ 1., -1., NaN, 0., 1., -1.])
>>> olderr = nx.seterr(**olderr)
Same thing with an output array:
>>> y = nx.zeros(a.shape, bool)
>>> U.isposinf(a, y)
array([ True, False, False, False, False, False], dtype=bool)
>>> y
array([ True, False, False, False, False, False], dtype=bool)
>>> U.isneginf(a, y)
array([False, True, False, False, False, False], dtype=bool)
>>> y
array([False, True, False, False, False, False], dtype=bool)
>>> olderr = nx.seterr(invalid='ignore')
>>> nx.sign(a, y)
array([ True, True, True, False, True, True], dtype=bool)
>>> olderr = nx.seterr(**olderr)
>>> y
array([ True, True, True, False, True, True], dtype=bool)
Now log2:
>>> a = nx.array([4.5, 2.3, 6.5])
>>> U.log2(a)
array([ 2.169925 , 1.20163386, 2.70043972])
>>> 2**_
array([ 4.5, 2.3, 6.5])
>>> y = nx.zeros(a.shape, float)
>>> U.log2(a, y)
array([ 2.169925 , 1.20163386, 2.70043972])
>>> y
array([ 2.169925 , 1.20163386, 2.70043972])
iÿÿÿÿ( t *c C s t ƒ S( N( t rundocs( ( ( sD /usr/lib64/python2.6/site-packages/numpy/lib/tests/test_ufunclike.pyt test> s t __main__N( t __doc__t
numpy.testingR t __name__t run_module_suite( ( ( sD /usr/lib64/python2.6/site-packages/numpy/lib/tests/test_ufunclike.pyt : s