| import numpy as np
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|
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| from numpy import fix, isposinf, isneginf
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| from numpy.testing import (
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| assert_, assert_equal, assert_array_equal, assert_raises
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| )
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|
|
|
|
| class TestUfunclike:
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|
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| def test_isposinf(self):
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| a = np.array([np.inf, -np.inf, np.nan, 0.0, 3.0, -3.0])
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| out = np.zeros(a.shape, bool)
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| tgt = np.array([True, False, False, False, False, False])
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|
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| res = isposinf(a)
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| assert_equal(res, tgt)
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| res = isposinf(a, out)
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| assert_equal(res, tgt)
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| assert_equal(out, tgt)
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|
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| a = a.astype(np.complex128)
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| with assert_raises(TypeError):
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| isposinf(a)
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|
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| def test_isneginf(self):
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| a = np.array([np.inf, -np.inf, np.nan, 0.0, 3.0, -3.0])
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| out = np.zeros(a.shape, bool)
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| tgt = np.array([False, True, False, False, False, False])
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|
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| res = isneginf(a)
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| assert_equal(res, tgt)
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| res = isneginf(a, out)
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| assert_equal(res, tgt)
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| assert_equal(out, tgt)
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|
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| a = a.astype(np.complex128)
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| with assert_raises(TypeError):
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| isneginf(a)
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|
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| def test_fix(self):
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| a = np.array([[1.0, 1.1, 1.5, 1.8], [-1.0, -1.1, -1.5, -1.8]])
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| out = np.zeros(a.shape, float)
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| tgt = np.array([[1., 1., 1., 1.], [-1., -1., -1., -1.]])
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|
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| res = fix(a)
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| assert_equal(res, tgt)
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| res = fix(a, out)
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| assert_equal(res, tgt)
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| assert_equal(out, tgt)
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| assert_equal(fix(3.14), 3)
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|
|
| def test_fix_with_subclass(self):
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| class MyArray(np.ndarray):
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| def __new__(cls, data, metadata=None):
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| res = np.array(data, copy=True).view(cls)
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| res.metadata = metadata
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| return res
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|
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| def __array_wrap__(self, obj, context=None, return_scalar=False):
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| if not isinstance(obj, MyArray):
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| obj = obj.view(MyArray)
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| if obj.metadata is None:
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| obj.metadata = self.metadata
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| return obj
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|
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| def __array_finalize__(self, obj):
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| self.metadata = getattr(obj, 'metadata', None)
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| return self
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|
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| a = np.array([1.1, -1.1])
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| m = MyArray(a, metadata='foo')
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| f = fix(m)
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| assert_array_equal(f, np.array([1, -1]))
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| assert_(isinstance(f, MyArray))
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| assert_equal(f.metadata, 'foo')
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|
|
|
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| m0d = m[0,...]
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| m0d.metadata = 'bar'
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| f0d = fix(m0d)
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| assert_(isinstance(f0d, MyArray))
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| assert_equal(f0d.metadata, 'bar')
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|
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| def test_scalar(self):
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| x = np.inf
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| actual = np.isposinf(x)
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| expected = np.True_
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| assert_equal(actual, expected)
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| assert_equal(type(actual), type(expected))
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|
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| x = -3.4
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| actual = np.fix(x)
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| expected = np.float64(-3.0)
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| assert_equal(actual, expected)
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| assert_equal(type(actual), type(expected))
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|
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| out = np.array(0.0)
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| actual = np.fix(x, out=out)
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| assert_(actual is out)
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|
