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from typing import Any, Optional |
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from unittest import TestCase |
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import numpy as np |
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from nptyping.ndarray import NDArray |
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class TestNDArray(TestCase): |
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def test_initialize_with_nothing(self): |
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self.assertEqual((Any, ...), NDArray.shape) |
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self.assertEqual(Any, NDArray._type) |
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self.assertEqual((Any, ...), NDArray[(Any, ...)].shape) |
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self.assertEqual(Any, NDArray[(Any, ...)]._type) |
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self.assertEqual((Any, ...), NDArray[(Any, ...), Any].shape) |
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self.assertEqual(Any, NDArray[(Any, ...), Any]._type) |
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def test_initialize_with_size(self): |
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self.assertEqual(1, len(NDArray[5].shape)) |
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self.assertEqual(5, NDArray[5].shape[0]) |
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self.assertEqual(Any, NDArray[5]._type) |
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self.assertEqual(NDArray[5], NDArray[(5,)]) |
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self.assertEqual(NDArray[5], NDArray[(5,), Any]) |
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def test_initialize_with_any_size(self): |
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self.assertEqual(1, len(NDArray[Any].shape)) |
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self.assertEqual(Any, NDArray[Any].shape[0]) |
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self.assertEqual(Any, NDArray[Any]._type) |
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def test_initialize_with_type(self): |
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self.assertEqual((Any, ...), NDArray[int].shape) |
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self.assertEqual(int, NDArray[int]._type) |
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def test_initialize_with_size_and_type(self): |
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self.assertEqual(1, len(NDArray[3, int].shape)) |
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self.assertEqual(3, NDArray[3, int].shape[0]) |
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self.assertEqual(int, NDArray[3, int]._type) |
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def test_initialize_with_only_sizes(self): |
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self.assertEqual(3, len(NDArray[(2, 4, Any)].shape)) |
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self.assertEqual(2, NDArray[(2, 4, Any)].shape[0]) |
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self.assertEqual(4, NDArray[(2, 4, Any)].shape[1]) |
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self.assertEqual(Any, NDArray[(2, 4, Any)].shape[2]) |
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self.assertEqual(Any, NDArray[(2, 4, Any)]._type) |
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self.assertEqual(NDArray[(2, 4, Any)], NDArray[2, 4, Any]) |
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def test_initialize_with_sizes_and_type(self): |
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self.assertEqual(3, len(NDArray[(2, 4, Any), int].shape)) |
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self.assertEqual(2, NDArray[(2, 4, Any), int].shape[0]) |
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self.assertEqual(4, NDArray[(2, 4, Any), int].shape[1]) |
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self.assertEqual(Any, NDArray[(2, 4, Any), int].shape[2]) |
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self.assertEqual(int, NDArray[(2, 4, Any), int]._type) |
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def test_initialize_with_sizes_and_dtype(self): |
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arr = NDArray[(2, 4, Any), np.dtype(int)] |
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self.assertEqual(3, len(arr.shape)) |
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self.assertEqual(2, arr.shape[0]) |
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self.assertEqual(4, arr.shape[1]) |
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self.assertEqual(Any, arr.shape[2]) |
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self.assertEqual(np.dtype(int), arr._type) |
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def test_initialize_with_ndims(self): |
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self.assertEqual((2, ...), NDArray[(2, ...), int].shape) |
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def test_invalid_initialization(self): |
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with self.assertRaises(TypeError): |
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NDArray['test'] |
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with self.assertRaises(TypeError): |
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NDArray[(2, '2'), int] |
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with self.assertRaises(TypeError): |
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NDArray[(2, 2), 'int'] |
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with self.assertRaises(TypeError): |
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NDArray[(2, 2, ...), int] |
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def test_instance_check_dimension_sizes(self): |
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arr2x2x2 = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]) |
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arr1x2x2 = np.array([[[1, 2], [3, 4]]]) |
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arr3x2x2 = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]], [[9, 10], [11, 12]]]) |
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arr2x2 = np.array([[1, 2], [3, 4]]) |
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self.assertTrue(isinstance(arr2x2x2, NDArray[(2, 2, 2), int])) |
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self.assertTrue(not isinstance(arr1x2x2, NDArray[(2, 2, 2), int])) |
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self.assertTrue(not isinstance(arr3x2x2, NDArray[(2, 2, 2), int])) |
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self.assertTrue(not isinstance(arr2x2, NDArray[(2, 2, 2), int])) |
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def test_instance_check_dimension_any(self): |
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arr3x2x2 = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]], [[9, 10], [11, 12]]]) |
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arr2x2 = np.array([[1, 2], [3, 4]]) |
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self.assertTrue(isinstance(arr3x2x2, NDArray)) |
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self.assertTrue(isinstance(arr2x2, NDArray)) |
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self.assertTrue(isinstance(arr3x2x2, NDArray[int])) |
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self.assertTrue(isinstance(arr2x2, NDArray[int])) |
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def test_instance_check_types(self): |
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arr2x2x2_float = np.array([[[1.0, 2.0], [3.0, 4.0]], |
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[[5.0, 6.0], [7.0, 8.0]]]) |
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arr2x2x2 = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]) |
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self.assertTrue(isinstance(arr2x2x2_float, NDArray[(2, 2, 2), float])) |
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self.assertTrue(not isinstance(arr2x2x2, NDArray[(2, 2, 2), str])) |
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def test_instance_check_types_any(self): |
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arr2x2x2_float = np.array([[[1.0, 2.0], [3.0, 4.0]], |
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[[5.0, 6.0], [7.0, 8.0]]]) |
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arr2x2x2 = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]) |
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arr2x2 = np.array([[1, 2], [3, 4]]) |
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self.assertTrue(isinstance(arr2x2x2, NDArray[(2, 2, 2)])) |
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self.assertTrue(isinstance(arr2x2x2_float, NDArray[(2, 2, 2)])) |
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self.assertTrue(not isinstance(arr2x2, NDArray[(2, 2, 2)])) |
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def test_instance_check_ndims(self): |
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arr2x2x2 = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]) |
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arr2x2 = np.array([[1, 2], [3, 4]]) |
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arr3x2x2 = np.array([[[1, 2], [3, 4]], |
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[[5, 6], [7, 8]], |
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[[9, 10], [11, 12]]]) |
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self.assertTrue(isinstance(arr2x2, NDArray[(2, ...), int])) |
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self.assertTrue(isinstance(arr2x2x2, NDArray[(2, ...), int])) |
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self.assertTrue(not isinstance(arr3x2x2, NDArray[(2, ...), int])) |
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def test_repr_and_str(self): |
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import typing # This import is need for the evals to work. |
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arr_1a = NDArray[(2, 2), int] |
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arr_1b = eval(repr(arr_1a)) |
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arr_2a = NDArray[(typing.Any, ...), int] |
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arr_2b = eval(repr(arr_2a)) |
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arr_3a = NDArray |
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arr_3b = eval(repr(arr_3a)) |
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arr_4a = NDArray[5] |
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arr_4b = eval(repr(arr_4a)) |
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self.assertEqual(arr_1a, arr_1b) |
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self.assertEqual(arr_2a, arr_2b) |
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self.assertEqual(arr_3a, arr_3b) |
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self.assertEqual(arr_4a, arr_4b) |
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self.assertEqual(str(arr_1a), repr(arr_1a)) |
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self.assertEqual(str(arr_2a), repr(arr_2a)) |
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self.assertEqual(str(arr_3a), repr(arr_3a)) |
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self.assertEqual(str(arr_4a), repr(arr_4a)) |
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def test_type_of(self): |
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arr1 = np.array([1, 2, 3]) |
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arr2 = np.array([1, 2, '3']) |
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arr3 = np.array([1, 2, 3.0]) |
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arr4 = np.array([1, 2, {}]) |
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t1 = NDArray.type_of(arr1) |
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t2 = NDArray.type_of(arr2) |
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t3 = NDArray.type_of(arr3) |
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t4 = NDArray.type_of(arr4) |
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self.assertIsInstance(arr1, t1) |
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self.assertIsInstance(arr2, t2) |
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self.assertIsInstance(arr3, t3) |
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self.assertIsInstance(arr4, t4) |
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def test_hash_ndarray(self): |
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# Hashing should not raise. |
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hash(NDArray[(3,), int]) |
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# You now be able to wrap an NDArray in an optional. |
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Optional[NDArray[(3,), int]] |
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Optional[NDArray] |
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ramonhagenaars /
nptyping
