wehub-resource-sync
123 lines
3.9 KiB
Python
123 lines
3.9 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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import op
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from paddle.base import framework
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class TestWarpAsScalar(unittest.TestCase):
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def test_for_int(self):
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s = framework.wrap_as_scalar(np.iinfo(np.int64).max)
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self.assertEqual(s, np.iinfo(np.int64).max)
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def test_for_float(self):
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maximum = float(np.finfo(np.float64).max)
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s = framework.wrap_as_scalar(maximum)
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self.assertEqual(s, maximum)
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def test_for_bool(self):
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s = framework.wrap_as_scalar(True)
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self.assertEqual(s, True)
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def test_for_complex(self):
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c = 42.1 + 42.1j
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s = framework.wrap_as_scalar(c)
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self.assertEqual(s, c)
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def test_for_numpy_scalar(self):
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maximum = np.finfo(np.float64).max
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s = framework.wrap_as_scalar(maximum)
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self.assertEqual(s, maximum)
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def test_for_scalar(self):
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s1 = framework.wrap_as_scalar(42)
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s2 = framework.wrap_as_scalar(s1)
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self.assertEqual(s2, s1)
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def test_for_exception(self):
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with self.assertRaises(TypeError):
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framework.wrap_as_scalar("abc")
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class TestWarpAsScalars(unittest.TestCase):
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def test_rewrap(self):
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vec = [framework.wrap_as_scalar(item) for item in (1, 2, 3, 4)]
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vec2 = framework.wrap_as_scalars(vec)
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self.assertListEqual(vec, vec2)
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def test_numpy_array(self):
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arr = np.random.randn(2, 3).astype(np.float64)
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scalars = framework.wrap_as_scalars(arr)
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values = framework.extract_plain_list(scalars)
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self.assertListEqual(arr.ravel().tolist(), values)
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def test_numeric_list(self):
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arr = [1 + 2j, 3 + 4j]
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scalars = framework.wrap_as_scalars(arr)
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values = framework.extract_plain_list(scalars)
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self.assertListEqual(arr, values)
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class TestScalarValue(unittest.TestCase):
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def test_for_int(self):
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s = framework.wrap_as_scalar(np.iinfo(np.int64).max)
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self.assertEqual(s.value(), np.iinfo(np.int64).max)
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def test_for_float(self):
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maximum = float(np.finfo(np.float64).max)
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s = framework.wrap_as_scalar(maximum)
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self.assertEqual(s.value(), maximum)
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def test_for_bool(self):
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s = framework.wrap_as_scalar(True)
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self.assertEqual(s.value(), True)
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def test_for_complex(self):
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c = 42.1 + 42.1j
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s = framework.wrap_as_scalar(c)
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self.assertEqual(s.value(), c)
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def test_for_numpy_scalar(self):
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maximum = np.finfo(np.float64).max
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s = framework.wrap_as_scalar(maximum)
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self.assertEqual(s.value(), float(maximum))
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def test_for_scalar(self):
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s1 = framework.wrap_as_scalar(42)
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s2 = framework.wrap_as_scalar(s1)
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self.assertEqual(s2.value(), s1.value())
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class TestScalarProto(unittest.TestCase):
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def test_make_scalar_proto_for_int(self):
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s = op.make_scalar_proto(42)
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self.assertEqual(s.i, 42)
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def test_make_scalar_proto_for_float(self):
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s = op.make_scalar_proto(42.1)
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self.assertEqual(s.r, 42.1)
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def test_make_scalar_proto_for_bool(self):
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s = op.make_scalar_proto(True)
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self.assertEqual(s.b, True)
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def test_make_scalar_proto_for_complex(self):
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s = op.make_scalar_proto(42.1 + 42.2j)
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self.assertEqual(s.c.r, 42.1)
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self.assertEqual(s.c.i, 42.2)
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