#   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

import paddle
from paddle.base import Program, core, program_guard
from paddle.base.executor import Executor


class TestLoDArrayLength(unittest.TestCase):
    def test_array_length(self):
        tmp = paddle.zeros(shape=[10], dtype='int32')
        i = paddle.tensor.fill_constant(shape=[1], dtype='int64', value=10)
        arr = paddle.tensor.array_write(tmp, i=i)
        arr_len = paddle.tensor.array_length(arr)
        cpu = core.CPUPlace()
        exe = Executor(cpu)
        result = exe.run(fetch_list=[arr_len])[0]
        self.assertEqual(11, result[0])


class TestLoDArrayLengthOpError(unittest.TestCase):
    def test_errors(self):
        with program_guard(Program(), Program()):
            # for ci coverage
            x1 = numpy.random.randn(2, 4).astype('int32')

            self.assertRaises(TypeError, paddle.tensor.array_length, array=x1)


class TestArrayLengthApi(unittest.TestCase):
    def test_api(self):
        paddle.disable_static()

        arr = paddle.tensor.create_array(dtype='float32')
        x = paddle.full(shape=[3, 3], fill_value=5, dtype="float32")
        i = paddle.zeros(shape=[1], dtype="int32")

        arr = paddle.tensor.array_write(x, i, array=arr)

        arr_len = paddle.tensor.array_length(arr)
        self.assertEqual(arr_len, 1)
        paddle.enable_static()


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