#   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
from op_test import get_device_place, is_custom_device

import paddle
from paddle.base import core


class TestGcdAPI(unittest.TestCase):
    def setUp(self):
        self.x_np = [12]
        self.y_np = [20]
        self.x_shape = [1]
        self.y_shape = [1]

    def test_static_graph(self):
        if core.is_compiled_with_cuda() or is_custom_device():
            place = get_device_place()
        else:
            place = core.CPUPlace()
        with paddle.static.program_guard(
            paddle.static.Program(), paddle.static.Program()
        ):
            x = paddle.static.data(
                name='input1', dtype='int32', shape=self.x_shape
            )
            y = paddle.static.data(
                name='input2', dtype='int32', shape=self.y_shape
            )
            out = paddle.gcd(x, y)
            out_ref = np.gcd(self.x_np, self.y_np)

            exe = paddle.static.Executor(place)
            res = exe.run(
                paddle.static.default_main_program(),
                feed={'input1': self.x_np, 'input2': self.y_np},
                fetch_list=[out],
            )
            self.assertTrue((res[0] == out_ref).all())

    def test_dygraph(self):
        paddle.disable_static()
        x = paddle.to_tensor(self.x_np)
        y = paddle.to_tensor(self.y_np)
        result = paddle.gcd(x, y)
        np.testing.assert_allclose(
            np.gcd(self.x_np, self.y_np), result.numpy(), rtol=1e-05
        )

        paddle.enable_static()


class TestGcdAPI2(TestGcdAPI):
    def setUp(self):
        self.x_np = np.arange(6).astype(np.int32)
        self.y_np = np.array([20]).astype(np.int32)
        self.x_shape = [6]
        self.y_shape = [1]


class TestGcdAPI3(TestGcdAPI):
    def setUp(self):
        self.x_np = 0
        self.y_np = 20
        self.x_shape = []
        self.y_shape = []


class TestGcdAPI4(TestGcdAPI):
    def setUp(self):
        self.x_np = [0]
        self.y_np = [0]
        self.x_shape = [1]
        self.y_shape = [1]


class TestGcdAPI5(TestGcdAPI):
    def setUp(self):
        self.x_np = 12
        self.y_np = -20
        self.x_shape = []
        self.y_shape = []


class TestGcd(unittest.TestCase):
    def setUp(self):
        self.x_np = np.array([12, 18, 24]).astype(np.int32)
        self.y_np = np.array([20, 24, 36]).astype(np.int32)
        self.expected = np.gcd(self.x_np, self.y_np)

    def test_gcd_with_y_parameter(self):
        paddle.disable_static()
        x = paddle.to_tensor(self.x_np)
        y = paddle.to_tensor(self.y_np)
        x_clone = x.clone()
        out = paddle.gcd(x_clone, y)
        np.testing.assert_allclose(out.numpy(), self.expected, rtol=1e-05)
        paddle.enable_static()

    def test_gcd_with_other_parameter(self):
        paddle.disable_static()
        x = paddle.to_tensor(self.x_np)
        other = paddle.to_tensor(self.y_np)
        x_clone = x.clone()
        out = paddle.gcd(x_clone, other=other)
        np.testing.assert_allclose(out.numpy(), self.expected, rtol=1e-05)
        paddle.enable_static()

    def test_gcd_with_both_parameters_error(self):
        paddle.disable_static()
        x = paddle.to_tensor(self.x_np)
        y = paddle.to_tensor(self.y_np)
        x_clone = x.clone()
        other = paddle.to_tensor(self.y_np)
        with self.assertRaises(TypeError):
            out = paddle.gcd(x_clone, y, other=other)
        paddle.enable_static()


class TestGcdOutParameter(unittest.TestCase):
    def test_dygraph_out(self):
        paddle.disable_static()
        x = paddle.to_tensor([12, 18, 24], dtype='int64')
        y = paddle.to_tensor([20, 24, 36], dtype='int64')
        out = paddle.zeros([3], dtype='int64')
        result = paddle.gcd(x, y, out=out)
        expected = np.gcd([12, 18, 24], [20, 24, 36])
        np.testing.assert_allclose(out.numpy(), expected, rtol=1e-05)
        self.assertIs(result, out)
        paddle.enable_static()

    def test_dygraph_out_none(self):
        paddle.disable_static()
        x = paddle.to_tensor([12, 18, 24], dtype='int64')
        y = paddle.to_tensor([20, 24, 36], dtype='int64')
        result = paddle.gcd(x, y)
        expected = np.gcd([12, 18, 24], [20, 24, 36])
        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-05)
        paddle.enable_static()

    def test_dygraph_out_scalar(self):
        paddle.disable_static()
        x = paddle.to_tensor(12, dtype='int64')
        y = paddle.to_tensor(20, dtype='int64')
        out = paddle.zeros([], dtype='int64')
        result = paddle.gcd(x, y, out=out)
        self.assertEqual(out.numpy(), 4)
        self.assertIs(result, out)
        paddle.enable_static()

    def test_dygraph_out_broadcast(self):
        paddle.disable_static()
        x = paddle.to_tensor([12, 18, 24], dtype='int64')
        y = paddle.to_tensor([20], dtype='int64')
        out = paddle.zeros([3], dtype='int64')
        result = paddle.gcd(x, y, out=out)
        expected = np.gcd([12, 18, 24], [20])
        np.testing.assert_allclose(out.numpy(), expected, rtol=1e-05)
        self.assertIs(result, out)
        paddle.enable_static()

    def test_static_out(self):
        if core.is_compiled_with_cuda() or is_custom_device():
            place = get_device_place()
        else:
            place = core.CPUPlace()
        x_np = np.array([12, 18, 24]).astype(np.int64)
        y_np = np.array([20, 24, 36]).astype(np.int64)
        with paddle.static.program_guard(
            paddle.static.Program(), paddle.static.Program()
        ):
            x = paddle.static.data(name='x', dtype='int64', shape=[3])
            y = paddle.static.data(name='y', dtype='int64', shape=[3])
            out = paddle.static.data(name='out', dtype='int64', shape=[3])
            result = paddle.gcd(x, y, out=out)
            exe = paddle.static.Executor(place)
            res = exe.run(
                feed={'x': x_np, 'y': y_np, 'out': np.zeros(3, dtype=np.int64)},
                fetch_list=[result],
            )
            np.testing.assert_allclose(res[0], np.gcd(x_np, y_np), rtol=1e-05)


class TestGcdInplaceAPI(unittest.TestCase):
    def setUp(self):
        self.x_np = np.array([12, 18, 24]).astype(np.int32)
        self.y_np = np.array([20, 24, 36]).astype(np.int32)
        self.expected = np.gcd(self.x_np, self.y_np)

    def test_gcd_inplace_with_y_parameter(self):
        paddle.disable_static()
        x = paddle.to_tensor(self.x_np)
        y = paddle.to_tensor(self.y_np)
        x_clone = x.clone()
        out = paddle.gcd_(x_clone, y)
        np.testing.assert_allclose(out.numpy(), self.expected, rtol=1e-05)
        paddle.enable_static()

    def test_gcd_inplace_with_other_parameter(self):
        paddle.disable_static()
        x = paddle.to_tensor(self.x_np)
        other = paddle.to_tensor(self.y_np)
        x_clone = x.clone()
        out = paddle.gcd_(x_clone, other=other)
        np.testing.assert_allclose(out.numpy(), self.expected, rtol=1e-05)
        paddle.enable_static()

    def test_gcd_inplace_with_both_parameters_error(self):
        paddle.disable_static()
        x = paddle.to_tensor(self.x_np)
        y = paddle.to_tensor(self.y_np)
        other = paddle.to_tensor(self.y_np)
        x_clone = x.clone()
        with self.assertRaises(TypeError):
            out = paddle.gcd_(x_clone, y, other=other)
        paddle.enable_static()


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