#   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.

from __future__ import print_function

import unittest
import numpy as np
from op_test import OpTest


def sequence_erase(in_seq, lod0, tokens):
    new_lod0 = []
    out_seq = []
    offset = 0
    for i in range(0, len(lod0)):
        num_out = 0
        for dat in in_seq[offset:(offset + lod0[i])]:
            if dat not in tokens:
                out_seq.append(dat)
                num_out += 1
        offset += lod0[i]
        new_lod0.append(num_out)
    return np.array(out_seq).astype("int32"), new_lod0


class TestSequenceEraseOpInt32(OpTest):
    def setUp(self):
        self.op_type = "sequence_erase"
        in_seq = np.random.randint(0, 10, (30, 1)).astype("int32")
        lod = [[9, 4, 11, 6]]
        tokens = [2, 3, 5]
        out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens)
        self.attrs = {'tokens': tokens}
        self.inputs = {'X': (in_seq, lod)}
        self.outputs = {'Out': (out_seq, [new_lod0])}

    def test_check_output(self):
        self.check_output()


class TestSequenceEraseOpInt32LoD2(OpTest):
    def setUp(self):
        self.op_type = "sequence_erase"
        in_seq = np.random.randint(0, 10, (30, 1)).astype("int32")
        lod = [[1, 3], [9, 4, 11, 6]]
        tokens = [2, 3, 5]
        out_seq, new_lod0 = sequence_erase(in_seq, lod[-1], tokens)
        self.attrs = {'tokens': tokens}
        self.inputs = {'X': (in_seq, lod)}
        self.outputs = {'Out': (out_seq, lod[:-1] + [new_lod0])}

    def test_check_output(self):
        self.check_output()


class TestSequenceEraseOpInt64(OpTest):
    def setUp(self):
        self.op_type = "sequence_erase"
        in_seq = np.random.randint(0, 10, (30, 1)).astype("int64")
        lod = [[9, 4, 11, 6]]
        tokens = [2, 3, 5]
        out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens)
        self.attrs = {'tokens': tokens}
        self.inputs = {'X': (in_seq, lod)}
        self.outputs = {'Out': (out_seq, [new_lod0])}

    def test_check_output(self):
        self.check_output()


class TestSequenceEraseOpInt64SeqLen0(OpTest):
    def setUp(self):
        self.op_type = "sequence_erase"
        in_seq = np.random.randint(0, 10, (30, 1)).astype("int64")
        lod = [[0, 9, 0, 0, 10, 11, 0]]
        tokens = [2, 3, 5]
        out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens)
        self.attrs = {'tokens': tokens}
        self.inputs = {'X': (in_seq, lod)}
        self.outputs = {'Out': (out_seq, [new_lod0])}

    def test_check_output(self):
        self.check_output()


class TestSequenceEraseOpEmpty(OpTest):
    def setUp(self):
        self.op_type = "sequence_erase"
        in_seq = np.random.randint(0, 10, (30, 1)).astype("int32")
        lod = [[9, 4, 11, 6]]
        tokens = []
        out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens)
        self.attrs = {'tokens': tokens}
        self.inputs = {'X': (in_seq, lod)}
        self.outputs = {'Out': (out_seq, [new_lod0])}

    def test_check_output(self):
        self.check_output()


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