#   Copyright (c) 2018 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 op_test import OpTest

import paddle


class TestEmpty(OpTest):
    def setUp(self):
        self.op_type = "is_empty"
        self.python_api = paddle.is_empty
        self.inputs = {'X': np.array([1, 2, 3])}
        self.outputs = {'Out': np.array(False)}

    def test_check_output(self):
        self.check_output(check_pir=True)


class TestNotEmpty(TestEmpty):
    def setUp(self):
        self.op_type = "is_empty"
        self.python_api = paddle.is_empty
        self.inputs = {'X': np.array([])}
        self.outputs = {'Out': np.array(True)}


class TestIsEmptyOpError(unittest.TestCase):
    def test_errors(self):
        paddle.enable_static()
        with paddle.static.program_guard(
            paddle.static.Program(), paddle.static.Program()
        ):
            input_data = np.random.random((3, 2)).astype("float64")

            def test_Variable():
                # the input type must be Variable
                paddle.is_empty(x=input_data)

            self.assertRaises(TypeError, test_Variable)

            def test_type():
                # dtype must be float32, float64, int32, int64
                x3 = paddle.static.data(
                    name="x3", shape=[4, 32, 32], dtype="bool"
                )
                res = paddle.is_empty(x=x3)

            self.assertRaises(TypeError, test_type)

            def test_name_type():
                # name type must be string.
                x4 = paddle.static.data(
                    name="x4", shape=[3, 2], dtype="float32"
                )
                res = paddle.is_empty(x=x4, name=1)

            self.assertRaises(TypeError, test_name_type)


class TestIsEmptyOpDygraph(unittest.TestCase):
    def test_dygraph(self):
        paddle.disable_static()
        input = paddle.rand(shape=[4, 32, 32], dtype='float32')
        res = paddle.is_empty(x=input)


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