Spelling (#342)

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<2119212+jsoref@users.noreply.github.com> --------- Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com>
2025-10-19 00:04:41 +08:00 · 2024-01-02 00:08:17 -05:00
parent 144ecff849
commit 44c1ce5e6a
49 changed files with 117 additions and 117 deletions
--- a/python/tests/test_array.py
+++ b/python/tests/test_array.py
@@ -952,7 +952,7 @@ class TestArray(mlx_tests.MLXTestCase):
        b_mx = a_mx[25:-50:-3]
        self.assertTrue(np.array_equal(b_np, b_mx))

-        # Negatie slice and ascending bounds
+        # Negative slice and ascending bounds
        b_np = a_np[0:20:-3]
        b_mx = a_mx[0:20:-3]
        self.assertTrue(np.array_equal(b_np, b_mx))
--- a/python/tests/test_blas.py
+++ b/python/tests/test_blas.py
@@ -53,10 +53,10 @@ class TestBlas(mlx_tests.MLXTestCase):
        for dtype in self.dtypes:
            np_dtype = getattr(np, dtype)
            base_shapes = [4, 8, 16, 32, 64, 128]
-            pertubations = [-2, -1, 0, 1, 2]
+            perturbations = [-2, -1, 0, 1, 2]

            for dim in base_shapes:
-                for p in pertubations:
+                for p in perturbations:
                    shape_a = (dim + p, dim + p)
                    shape_b = (dim + p, dim + p)
                    self.__gemm_test(shape_a, shape_b, np_dtype)
@@ -81,12 +81,12 @@ class TestBlas(mlx_tests.MLXTestCase):

            for B, M, N, K in shapes:

-                with self.subTest(tranpose="nn"):
+                with self.subTest(transpose="nn"):
                    shape_a = (B, M, K)
                    shape_b = (B, K, N)
                    self.__gemm_test(shape_a, shape_b, np_dtype)

-                with self.subTest(tranpose="nt"):
+                with self.subTest(transpose="nt"):
                    shape_a = (B, M, K)
                    shape_b = (B, N, K)
                    self.__gemm_test(
@@ -97,7 +97,7 @@ class TestBlas(mlx_tests.MLXTestCase):
                        f_mx_b=lambda x: mx.transpose(x, (0, 2, 1)),
                    )

-                with self.subTest(tranpose="tn"):
+                with self.subTest(transpose="tn"):
                    shape_a = (B, K, M)
                    shape_b = (B, K, N)
                    self.__gemm_test(
@@ -108,7 +108,7 @@ class TestBlas(mlx_tests.MLXTestCase):
                        f_mx_a=lambda x: mx.transpose(x, (0, 2, 1)),
                    )

-                with self.subTest(tranpose="tt"):
+                with self.subTest(transpose="tt"):
                    shape_a = (B, K, M)
                    shape_b = (B, N, K)
                    self.__gemm_test(
@@ -191,7 +191,7 @@ class TestBlas(mlx_tests.MLXTestCase):
        self.assertListEqual(list(c_npy.shape), list(c_mlx.shape))
        self.assertTrue(np.allclose(c_mlx, c_npy, atol=1e-6))

-        # Batched matmul with simple broadast
+        # Batched matmul with simple broadcast
        a_npy = np.random.normal(0.0, 1.0 / 128, (32, 128, 16)).astype(np.float32)
        b_npy = np.random.normal(0.0, 1.0 / 128, (16, 16)).astype(np.float32)
        c_npy = a_npy @ b_npy
@@ -213,7 +213,7 @@ class TestBlas(mlx_tests.MLXTestCase):
        self.assertListEqual(list(e_npy.shape), list(e_mlx.shape))
        self.assertTrue(np.allclose(e_mlx, e_npy, atol=1e-6))

-        # Batched and transposed matmul with simple broadast
+        # Batched and transposed matmul with simple broadcast
        a_npy = np.random.normal(0.0, 1.0 / 128, (32, 128, 16)).astype(np.float32)
        b_npy = np.random.normal(0.0, 1.0 / 128, (128, 16)).astype(np.float32)
        a_mlx = mx.array(a_npy)
--- a/python/tests/test_ops.py
+++ b/python/tests/test_ops.py
@@ -88,7 +88,7 @@ class TestOps(mlx_tests.MLXTestCase):
        self.assertEqual(a.dtype, mx.float32)
        self.assertEqual(a.item(), 3.0)

-        # Check comibinations with mlx arrays
+        # Check combinations with mlx arrays
        a = mx.add(mx.array(True), False)
        self.assertEqual(a.dtype, mx.bool_)
        self.assertEqual(a.item(), True)