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feat: Add numpy constants (#428)

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* add numpy constants

* feat: add unittests

* add newaxis

* add test for newaxis transformation

* refactor
This commit is contained in:
Avikant Srivastava
2024-01-11 20:17:29 +05:30
committed by GitHub
parent c92a134b0d
commit 975e265f74
4 changed files with 86 additions and 0 deletions
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59
python/tests/test_constants.py Normal file
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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.Inf, float("inf"))
self.assertAlmostEqual(mx.Infinity, float("inf"))
self.assertTrue(np.isnan(mx.NAN))
self.assertAlmostEqual(mx.NINF, float("-inf"))
self.assertEqual(mx.NZERO, -0.0)
self.assertTrue(np.isnan(mx.NaN))
self.assertAlmostEqual(mx.PINF, float("inf"))
self.assertEqual(mx.PZERO, 0.0)
self.assertAlmostEqual(
mx.e, 2.71828182845904523536028747135266249775724709369995
)
self.assertAlmostEqual(
mx.euler_gamma, 0.5772156649015328606065120900824024310421
)
self.assertAlmostEqual(mx.inf, float("inf"))
self.assertAlmostEqual(mx.infty, 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, "Inf"))
self.assertTrue(hasattr(mx, "Infinity"))
self.assertTrue(hasattr(mx, "NAN"))
self.assertTrue(hasattr(mx, "NINF"))
self.assertTrue(hasattr(mx, "NaN"))
self.assertTrue(hasattr(mx, "PINF"))
self.assertTrue(hasattr(mx, "NZERO"))
self.assertTrue(hasattr(mx, "PZERO"))
self.assertTrue(hasattr(mx, "e"))
self.assertTrue(hasattr(mx, "euler_gamma"))
self.assertTrue(hasattr(mx, "inf"))
self.assertTrue(hasattr(mx, "infty"))
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__":
unittest.main()