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42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
# Copyright © 2023 Apple Inc.
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import unittest
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import mlx.core as mx
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import mlx_tests
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import numpy as np
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class TestConstants(mlx_tests.MLXTestCase):
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def test_constants_values(self):
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# Check if mlx constants match expected values
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self.assertAlmostEqual(
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mx.e, 2.71828182845904523536028747135266249775724709369995
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)
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self.assertAlmostEqual(
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mx.euler_gamma, 0.5772156649015328606065120900824024310421
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)
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self.assertAlmostEqual(mx.inf, float("inf"))
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self.assertTrue(np.isnan(mx.nan))
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self.assertIsNone(mx.newaxis)
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self.assertAlmostEqual(mx.pi, 3.1415926535897932384626433)
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def test_constants_availability(self):
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# Check if mlx constants are available
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self.assertTrue(hasattr(mx, "e"))
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self.assertTrue(hasattr(mx, "euler_gamma"))
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self.assertTrue(hasattr(mx, "inf"))
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self.assertTrue(hasattr(mx, "nan"))
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self.assertTrue(hasattr(mx, "newaxis"))
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self.assertTrue(hasattr(mx, "pi"))
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def test_newaxis_for_reshaping_arrays(self):
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arr_1d = mx.array([1, 2, 3, 4, 5])
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arr_2d_column = arr_1d[:, mx.newaxis]
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expected_result = mx.array([[1], [2], [3], [4], [5]])
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self.assertTrue(mx.array_equal(arr_2d_column, expected_result))
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if __name__ == "__main__":
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mlx_tests.MLXTestRunner()
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