# Copyright (c) 2020 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
import paddle.fluid as fluid
from paddle.fluid import Program, program_guard
import paddle


class TestCreateParameterError(unittest.TestCase):
    def func_errors(self):
        paddle.enable_static()
        with program_guard(Program(), Program()):

            def test_shape():
                fluid.layers.create_parameter(1, np.float32)

            self.assertRaises(TypeError, test_shape)

            def test_shape_item():
                fluid.layers.create_parameter([1.0, 2.0, 3.0], "float32")

            self.assertRaises(TypeError, test_shape_item)

            def test_attr():
                fluid.layers.create_parameter(
                    [1, 2, 3], np.float32, attr=np.array([i for i in range(6)])
                )

            self.assertRaises(TypeError, test_attr)

            def test_default_initializer():
                fluid.layers.create_parameter(
                    [1, 2, 3],
                    np.float32,
                    default_initializer=np.array([i for i in range(6)]),
                )

            self.assertRaises(TypeError, test_default_initializer)

    def test_errors(self):
        with fluid.framework._test_eager_guard():
            self.func_errors()
        self.func_errors()


if __name__ == '__main__':
    paddle.enable_static()
    unittest.main()