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74 lines
2.7 KiB
Python
74 lines
2.7 KiB
Python
import numpy as np
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from numpy.testing import (assert_equal, assert_almost_equal,
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assert_allclose)
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from scipy.special import logit, expit
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class TestLogit(object):
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def check_logit_out(self, dtype, expected):
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a = np.linspace(0,1,10)
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a = np.array(a, dtype=dtype)
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with np.errstate(divide='ignore'):
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actual = logit(a)
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assert_almost_equal(actual, expected)
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assert_equal(actual.dtype, np.dtype(dtype))
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def test_float32(self):
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expected = np.array([-np.inf, -2.07944155,
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-1.25276291, -0.69314718,
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-0.22314353, 0.22314365,
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0.6931473, 1.25276303,
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2.07944155, np.inf], dtype=np.float32)
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self.check_logit_out('f4', expected)
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def test_float64(self):
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expected = np.array([-np.inf, -2.07944154,
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-1.25276297, -0.69314718,
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-0.22314355, 0.22314355,
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0.69314718, 1.25276297,
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2.07944154, np.inf])
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self.check_logit_out('f8', expected)
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def test_nan(self):
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expected = np.array([np.nan]*4)
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with np.errstate(invalid='ignore'):
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actual = logit(np.array([-3., -2., 2., 3.]))
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assert_equal(expected, actual)
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class TestExpit(object):
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def check_expit_out(self, dtype, expected):
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a = np.linspace(-4,4,10)
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a = np.array(a, dtype=dtype)
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actual = expit(a)
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assert_almost_equal(actual, expected)
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assert_equal(actual.dtype, np.dtype(dtype))
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def test_float32(self):
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expected = np.array([0.01798621, 0.04265125,
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0.09777259, 0.20860852,
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0.39068246, 0.60931754,
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0.79139149, 0.9022274,
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0.95734876, 0.98201376], dtype=np.float32)
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self.check_expit_out('f4',expected)
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def test_float64(self):
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expected = np.array([0.01798621, 0.04265125,
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0.0977726, 0.20860853,
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0.39068246, 0.60931754,
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0.79139147, 0.9022274,
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0.95734875, 0.98201379])
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self.check_expit_out('f8', expected)
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def test_large(self):
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for dtype in (np.float32, np.float64, np.longdouble):
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for n in (88, 89, 709, 710, 11356, 11357):
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n = np.array(n, dtype=dtype)
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assert_allclose(expit(n), 1.0, atol=1e-20)
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assert_allclose(expit(-n), 0.0, atol=1e-20)
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assert_equal(expit(n).dtype, dtype)
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assert_equal(expit(-n).dtype, dtype)
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