# 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 op_test import OpTest def sequence_erase(in_seq, lod0, tokens): new_lod0 = [0] out_seq = [] for i in range(0, len(lod0) - 1): num_out = 0 for dat in in_seq[lod0[i]:lod0[i + 1]]: if dat not in tokens: out_seq.append(dat) num_out += 1 new_lod0.append(new_lod0[-1] + num_out) return np.array(out_seq).astype("int32"), new_lod0 class TestSequenceEraseOp(OpTest): def setUp(self): self.op_type = "sequence_erase" in_seq = np.random.randint(0, 10, (30, 1)).astype("int32") lod = [[0, 9, 13, 24, 30]] 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 = [[0, 9, 13, 24, 30]] 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()