# Copyright (c) 2019 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
import paddle.fluid as fluid


class TestPyReaderErrorMsg(unittest.TestCase):
    def test_check_input_array(self):
        fluid.reader.GeneratorLoader._check_input_array(
            [
                np.random.randint(100, size=[2]),
                np.random.randint(100, size=[2]),
                np.random.randint(100, size=[2]),
            ]
        )
        self.assertRaises(
            TypeError,
            fluid.reader.GeneratorLoader._check_input_array,
            [
                np.random.randint(100, size=[2]),
                np.random.randint(100, size=[1]),
                np.random.randint(100, size=[3]),
            ],
        )


class TestDoubleBufferAPI(unittest.TestCase):
    def test_double_buffer(self):
        paddle.enable_static()
        if fluid.core.is_compiled_with_cuda():
            reader = fluid.layers.py_reader(
                capacity=64,
                shapes=[(-1, 1, 28, 28), (-1, 1)],
                dtypes=['float32', 'int64'],
                use_double_buffer=False,
            )
            reader = fluid.layers.double_buffer(
                reader, place=fluid.core.CUDAPlace(0)
            )
            image, label = fluid.layers.read_file(reader)


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