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