Exemple #1
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 def test_div(self):
     a1, n1 = self.prepare((2, 3))
     a2 = A([[3, 2, 2], [4, 5, 4]], dtype=float)
     n2 = Nplike(a2)
     res = A([[0, 1.0 / 2.0, 1.0], [0.75, 0.8, 1.25]])
     array_almost_equal((n1 / n2).eval(), res)
     array_almost_equal((n1 / a2).eval(), res)
Exemple #2
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 def test_amax(self):
     a, n = self.prepare((2, 3))
     m = n.amax(axis=0, keepdims=True)
     m2 = n.amax(axis=1, keepdims=True)
     b1 = m.eval()
     b2 = m2.eval()
     array_almost_equal(b1, A([[3, 4, 5]]))
     array_almost_equal(b2, A([[2], [5]]))
Exemple #3
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 def test_square(self):
     a, n = self.prepare((2, 3))
     array_almost_equal(a * a, n.square().eval())
Exemple #4
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 def test_exp(self):
     a = (np.arange(6) + 0.0).reshape((2, 3))
     n = Nplike(a)
     array_almost_equal(np.exp(a), n.exp().eval())
Exemple #5
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 def test_neg(self):
     a, n = self.prepare((2, 3))
     array_almost_equal(-a, n.neg().eval())
Exemple #6
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 def test_reciprocal(self):
     a = (np.arange(6) + 1.0).reshape((2, 3))
     n = Nplike(a)
     array_almost_equal(n.reciprocal().eval(), 1.0 / a)
Exemple #7
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 def test_rdiv(self):
     a = A([[3, 2, 2], [4, 5, 4]], dtype=float)
     n = Nplike(a)
     res = A([[1.0 / 3.0, 0.5, 0.5], [0.25, 0.2, 0.25]])
     array_almost_equal((1.0 / n).eval(), res)
Exemple #8
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 def test_from_shape1(self):
     n = Nplike.from_shape((2, 3), neutral=True)
     array_almost_equal(n.eval(), np.zeros((2, 3)))
Exemple #9
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 def test_from_shape2(self):
     n = Nplike.from_shape((2, 3), neutral=False)
     array_almost_equal(n.eval(), np.ones((2, 3)))
Exemple #10
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 def test_abs(self):
     a, n = self.prepare((2, 3))
     n -= 3
     s = n.abs()
     array_almost_equal(s.eval(), A([[3, 2, 1], [0, 1, 2]]))
Exemple #11
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 def test_T(self):
     a, n = self.prepare((2, 3))
     m = n.T
     array_almost_equal(m.eval(), A([[0, 3], [1, 4], [2, 5]]))
Exemple #12
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 def test_sum(self):
     a, n = self.prepare((2, 3))
     s = n.sum()
     array_almost_equal(s.eval(), A([15]))
Exemple #13
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 def test_flatten(self):
     a, n = self.prepare((2, 3))
     m = n.flatten()
     array_almost_equal(m.eval(), A([0, 1, 2, 3, 4, 5]))
Exemple #14
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 def test_reshape(self):
     a, n = self.prepare((2, 3))
     m = n.reshape((6, 1))
     array_almost_equal(m.eval(), A([[0], [1], [2], [3], [4], [5]]))
Exemple #15
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 def test_power(self):
     a, n = self.prepare((2, 3))
     e = 3.1415
     array_almost_equal(np.power(a, e), n.power(e).eval())
Exemple #16
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 def test_eval(self):
     a, n = self.prepare((2, 3))
     array_almost_equal(n.eval(), a)
Exemple #17
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 def test_dot(self):
     a, n = self.prepare((2, 3))
     b, m = self.prepare((3, 4))
     p = n.dot(b).eval()
     array_almost_equal(p, A([[20, 23, 26, 29], [56, 68, 80, 92]]))
Exemple #18
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 def test_max(self):
     a, n = self.prepare((2, 3))
     b = A([[3, 0, 3], [0, 3, -123]])
     array_almost_equal(n.max(b).eval(), A([[3, 1, 3], [3, 4, 5]]))