#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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 paddle.v2.fluid.op import Operator
import paddle.v2.fluid.core as core


def create_tensor(scope, name, np_data):
    tensor = scope.var(name).get_tensor()
    tensor.set_dims(np_data.shape)
    tensor.set(np_data, core.CPUPlace())
    return tensor


class TestIsEmptyOp(unittest.TestCase):
    def setUp(self):
        self.scope = core.Scope()
        # create input variables
        np_data0 = np.array([0, 1, 2])
        create_tensor(self.scope, "X0", np_data0)

        np_data1 = np.array([1])
        t = create_tensor(self.scope, "X1", np_data1)
        t.set_dims([0])

        # create output variables
        self.scope.var("out")

    def test_no_empty(self):
        self.one_case("X0", False)

    def test_empty(self):
        self.one_case("X1", True)

    def one_case(self, input, target):
        op = Operator(type="is_empty", X=input, Out="out")
        op.run(self.scope, core.CPUPlace())
        out = self.scope.var("out").get_tensor()
        self.assertEqual(np.array(out)[0], target)


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