chore: import upstream snapshot with attribution

test/legacy_test/test_repeat.py

@@ -0,0 +1,166 @@
+# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+import numpy as np
+from utils import dygraph_guard, static_guard
+
+import paddle
+
+
+class TestRepeatBase(unittest.TestCase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1, 2, 3])
+        self.repeats = 3
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+    def test_dygraph(self):
+        with dygraph_guard():
+            result = self.x.repeat(self.repeats)
+        np.testing.assert_array_equal(result.numpy(), self.expected)
+
+    def test_static(self):
+        with (
+            static_guard(),
+            paddle.static.program_guard(
+                paddle.static.Program(), paddle.static.Program()
+            ),
+        ):
+            x = paddle.to_tensor(self.x.numpy())
+            result = x.repeat(self.repeats)
+            place = paddle.CPUPlace()
+            exe = paddle.static.Executor(place)
+            (result_np,) = exe.run(fetch_list=[result])
+        np.testing.assert_array_equal(result_np, self.expected)
+
+
+class TestRepeat1DList(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1, 2, 3])
+        self.repeats = [2, 1, 3]
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatEmptyTensor(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([])
+        self.repeats = 3
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatZeroRepeats(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1, 2, 3])
+        self.repeats = 0
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatZeroRepeatsList(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1, 2, 3])
+        self.repeats = [0, 1, 0]
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatFloat32(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1.5, 2.5, 3.5], dtype='float32')
+        self.repeats = 2
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatFloat64(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1.5, 2.5, 3.5], dtype='float64')
+        self.repeats = 2
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatInt32(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1, 2, 3], dtype='int32')
+        self.repeats = 2
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatInt64(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1, 2, 3], dtype='int64')
+        self.repeats = 2
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatBool(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([True, False, True])
+        self.repeats = 2
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatComplex(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1 + 2j, 3 + 4j, 5 + 6j], dtype='complex64')
+        self.repeats = 2
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatSingleElement(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([42])
+        self.repeats = 5
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatLargeRepeats(TestRepeatBase):
+    def setUp(self):
+        self.x = paddle.to_tensor([1, 2])
+        self.repeats = 1000
+        self.expected = np.tile(self.x.numpy(), self.repeats)
+
+
+class TestRepeatAPIEdgeCases(unittest.TestCase):
+    def test_repeat_negative_repeats(self):
+        x = paddle.to_tensor([1, 2, 3])
+        with self.assertRaises(ValueError):
+            x.repeat(-1)
+
+    def test_repeat_no_repeats(self):
+        x = paddle.to_tensor([1, 2, 3])
+        with self.assertRaises(TypeError):
+            x.repeat()
+
+
+class TestRepeatVariableArgs(unittest.TestCase):
+    def test_1d_variable_args(self):
+        x = paddle.to_tensor([1, 2, 3])
+        result = x.repeat(3)
+        expected = np.tile(x.numpy(), 3)
+        np.testing.assert_array_equal(result.numpy(), expected)
+
+    def test_2d_variable_args(self):
+        x = paddle.to_tensor([[1, 2], [3, 4]])
+        result = x.repeat(2, 3)
+        expected = np.tile(x.numpy(), (2, 3))
+        np.testing.assert_array_equal(result.numpy(), expected)
+
+    def test_3d_variable_args(self):
+        x = paddle.to_tensor([[[1, 2], [3, 4]]])
+        result = x.repeat(2, 1, 3)
+        expected = np.tile(x.numpy(), (2, 1, 3))
+        np.testing.assert_array_equal(result.numpy(), expected)
+
+
+if __name__ == "__main__":
+    unittest.main()