# 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


class TestReverseOp(OpTest):
    def initTestCase(self):
        self.x = np.random.random((3, 4)).astype('float32')
        self.axis = [0]

    def setUp(self):
        self.initTestCase()
        self.op_type = "reverse"
        self.inputs = {"X": self.x}
        self.attrs = {'axis': self.axis}
        out = self.x
        for a in self.axis:
            out = np.flip(out, axis=a)
        self.outputs = {'Out': out}

    def test_check_output(self):
        self.check_output()

    def test_check_grad(self):
        self.check_grad(['X'], 'Out')


class TestCase0(TestReverseOp):
    def initTestCase(self):
        self.x = np.random.random((3, 4)).astype('float32')
        self.axis = [1]


class TestCase1(TestReverseOp):
    def initTestCase(self):
        self.x = np.random.random((3, 4)).astype('float32')
        self.axis = [0, 1]


class TestCase2(TestReverseOp):
    def initTestCase(self):
        self.x = np.random.random((3, 4, 5)).astype('float32')
        self.axis = [0, 2]


class TestCase3(TestReverseOp):
    def initTestCase(self):
        self.x = np.random.random((3, 4, 5)).astype('float32')
        self.axis = [1, 2]


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