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| 1 | +# Data Parallel Control (dpctl) |
| 2 | +# |
| 3 | +# Copyright 2020-2025 Intel Corporation |
| 4 | +# |
| 5 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 6 | +# you may not use this file except in compliance with the License. |
| 7 | +# You may obtain a copy of the License at |
| 8 | +# |
| 9 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | +# |
| 11 | +# Unless required by applicable law or agreed to in writing, software |
| 12 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 13 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | +# See the License for the specific language governing permissions and |
| 15 | +# limitations under the License. |
| 16 | + |
| 17 | +import pytest |
| 18 | + |
| 19 | +import dpctl.tensor as dpt |
| 20 | +from dpctl.tests.helper import get_queue_or_skip, skip_if_dtype_not_supported |
| 21 | +from dpctl.utils import ExecutionPlacementError |
| 22 | + |
| 23 | + |
| 24 | +@pytest.mark.parametrize( |
| 25 | + "dtype", |
| 26 | + [ |
| 27 | + "i1", |
| 28 | + "u1", |
| 29 | + "i2", |
| 30 | + "u2", |
| 31 | + "i4", |
| 32 | + "u4", |
| 33 | + "i8", |
| 34 | + "u8", |
| 35 | + "f2", |
| 36 | + "f4", |
| 37 | + "f8", |
| 38 | + "c8", |
| 39 | + "c16", |
| 40 | + ], |
| 41 | +) |
| 42 | +def test_isin_basic(dtype): |
| 43 | + q = get_queue_or_skip() |
| 44 | + skip_if_dtype_not_supported(dtype, q) |
| 45 | + |
| 46 | + n = 100 |
| 47 | + x = dpt.arange(n, dtype=dtype) |
| 48 | + test = dpt.arange(n - 1, dtype=dtype) |
| 49 | + r1 = dpt.isin(x, test) |
| 50 | + assert dpt.all(r1[:-1]) |
| 51 | + assert not r1[-1] |
| 52 | + assert r1.shape == x.shape |
| 53 | + |
| 54 | + # test with invert keyword |
| 55 | + r2 = dpt.isin(x, test, invert=True) |
| 56 | + assert not dpt.all(r2[:-1]) |
| 57 | + assert r2[-1] |
| 58 | + assert r2.shape == x.shape |
| 59 | + |
| 60 | + |
| 61 | +def test_isin_basic_bool(): |
| 62 | + dt = dpt.bool |
| 63 | + n = 100 |
| 64 | + x = dpt.zeros(n, dtype=dt) |
| 65 | + x[-1] = True |
| 66 | + test = dpt.zeros((), dtype=dt) |
| 67 | + r1 = dpt.isin(x, test) |
| 68 | + assert dpt.all(r1[:-1]) |
| 69 | + assert not r1[-1] |
| 70 | + assert r1.shape == x.shape |
| 71 | + |
| 72 | + r2 = dpt.isin(x, test, invert=True) |
| 73 | + assert not dpt.all(r2[:-1]) |
| 74 | + assert r2[-1] |
| 75 | + assert r2.shape == x.shape |
| 76 | + |
| 77 | + |
| 78 | +@pytest.mark.parametrize( |
| 79 | + "dtype", |
| 80 | + [ |
| 81 | + "i1", |
| 82 | + "u1", |
| 83 | + "i2", |
| 84 | + "u2", |
| 85 | + "i4", |
| 86 | + "u4", |
| 87 | + "i8", |
| 88 | + "u8", |
| 89 | + "f2", |
| 90 | + "f4", |
| 91 | + "f8", |
| 92 | + "c8", |
| 93 | + "c16", |
| 94 | + ], |
| 95 | +) |
| 96 | +def test_isin_strided(dtype): |
| 97 | + q = get_queue_or_skip() |
| 98 | + skip_if_dtype_not_supported(dtype, q) |
| 99 | + |
| 100 | + n, m = 100, 20 |
| 101 | + x = dpt.zeros((n, m), dtype=dtype, order="F") |
| 102 | + x[:, ::2] = dpt.arange(1, (m / 2) + 1, dtype=dtype) |
| 103 | + test = dpt.arange(1, (m / 2) + 1, dtype=dtype) |
| 104 | + r1 = dpt.isin(x, test) |
| 105 | + assert dpt.all(r1[:, ::2]) |
| 106 | + assert not dpt.all(r1[:, 1::2]) |
| 107 | + assert r1.shape == x.shape |
| 108 | + |
| 109 | + # test with invert keyword |
| 110 | + r2 = dpt.isin(x, test, invert=True) |
| 111 | + assert not dpt.all(r2[:, ::2]) |
| 112 | + assert dpt.all(r2[:, 1::2]) |
| 113 | + assert r2.shape == x.shape |
| 114 | + |
| 115 | + |
| 116 | +def test_isin_strided_bool(): |
| 117 | + dt = dpt.bool |
| 118 | + n, m = 100, 20 |
| 119 | + x = dpt.ones((n, m), dtype=dt, order="F") |
| 120 | + x[:, ::2] = False |
| 121 | + test = dpt.zeros((), dtype=dt) |
| 122 | + r1 = dpt.isin(x, test) |
| 123 | + assert dpt.all(r1[:, ::2]) |
| 124 | + assert not dpt.all(r1[:, 1::2]) |
| 125 | + assert r1.shape == x.shape |
| 126 | + |
| 127 | + # test with invert keyword |
| 128 | + r2 = dpt.isin(x, test, invert=True) |
| 129 | + assert not dpt.all(r2[:, ::2]) |
| 130 | + assert dpt.all(r2[:, 1::2]) |
| 131 | + assert r2.shape == x.shape |
| 132 | + |
| 133 | + |
| 134 | +def test_isin_empty_inputs(): |
| 135 | + get_queue_or_skip() |
| 136 | + |
| 137 | + x = dpt.ones((10, 0, 1), dtype="i4") |
| 138 | + test = dpt.ones((), dtype="i4") |
| 139 | + res1 = dpt.isin(x, test) |
| 140 | + assert isinstance(res1, dpt.usm_ndarray) |
| 141 | + assert res1.size == 0 |
| 142 | + assert res1.shape == x.shape |
| 143 | + assert res1.dtype == dpt.bool |
| 144 | + |
| 145 | + res2 = dpt.isin(x, test, invert=True) |
| 146 | + assert isinstance(res2, dpt.usm_ndarray) |
| 147 | + assert res2.size == 0 |
| 148 | + assert res2.shape == x.shape |
| 149 | + assert res2.dtype == dpt.bool |
| 150 | + |
| 151 | + x = dpt.ones((3, 3), dtype="i4") |
| 152 | + test = dpt.ones(0, dtype="i4") |
| 153 | + res3 = dpt.isin(x, test) |
| 154 | + assert isinstance(res3, dpt.usm_ndarray) |
| 155 | + assert res3.shape == x.shape |
| 156 | + assert res3.dtype == dpt.bool |
| 157 | + assert not dpt.all(res3) |
| 158 | + |
| 159 | + res4 = dpt.isin(x, test, invert=True) |
| 160 | + assert isinstance(res4, dpt.usm_ndarray) |
| 161 | + assert res4.shape == x.shape |
| 162 | + assert res4.dtype == dpt.bool |
| 163 | + assert dpt.all(res4) |
| 164 | + |
| 165 | + |
| 166 | +def test_isin_validation(): |
| 167 | + with pytest.raises(ExecutionPlacementError): |
| 168 | + dpt.isin(1, 1) |
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