# Copyright 2020 The HuggingFace Inc. team, The Microsoft Research team. # # 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 os import unittest from transformers import BatchEncoding from transformers.models.bert.tokenization_bert_legacy import ( BasicTokenizer, WordpieceTokenizer, _is_control, _is_punctuation, _is_whitespace, ) from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer from transformers.testing_utils import require_torch, slow from ...test_tokenization_common import TokenizerTesterMixin class ProphetNetTokenizationTest(TokenizerTesterMixin, unittest.TestCase): from_pretrained_id = "microsoft/prophetnet-large-uncased" tokenizer_class = ProphetNetTokenizer test_rust_tokenizer = False @classmethod def setUpClass(cls): super().setUpClass() vocab_tokens = [ "[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "want", "##want", "##ed", "wa", "un", "runn", "##ing", ",", "low", "lowest", ] cls.vocab_file = os.path.join(cls.tmpdirname, VOCAB_FILES_NAMES["vocab_file"]) with open(cls.vocab_file, "w", encoding="utf-8") as vocab_writer: vocab_writer.write("".join([x + "\n" for x in vocab_tokens])) def get_input_output_texts(self, tokenizer): input_text = "UNwant\u00e9d,running" output_text = "unwanted, running" return input_text, output_text def test_full_tokenizer(self): tokenizer = self.tokenizer_class(self.vocab_file) tokens = tokenizer.tokenize("UNwant\u00e9d,running") self.assertListEqual(tokens, ["un", "##want", "##ed", ",", "runn", "##ing"]) self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [9, 6, 7, 12, 10, 11]) def test_chinese(self): tokenizer = BasicTokenizer() self.assertListEqual(tokenizer.tokenize("ah\u535a\u63a8zz"), ["ah", "\u535a", "\u63a8", "zz"]) def test_basic_tokenizer_lower(self): tokenizer = BasicTokenizer(do_lower_case=True) self.assertListEqual( tokenizer.tokenize(" \tHeLLo!how \n Are yoU? "), ["hello", "!", "how", "are", "you", "?"] ) self.assertListEqual(tokenizer.tokenize("H\u00e9llo"), ["hello"]) def test_basic_tokenizer_lower_strip_accents_false(self): tokenizer = BasicTokenizer(do_lower_case=True, strip_accents=False) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hällo", "!", "how", "are", "you", "?"] ) self.assertListEqual(tokenizer.tokenize("H\u00e9llo"), ["h\u00e9llo"]) def test_basic_tokenizer_lower_strip_accents_true(self): tokenizer = BasicTokenizer(do_lower_case=True, strip_accents=True) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hallo", "!", "how", "are", "you", "?"] ) self.assertListEqual(tokenizer.tokenize("H\u00e9llo"), ["hello"]) def test_basic_tokenizer_lower_strip_accents_default(self): tokenizer = BasicTokenizer(do_lower_case=True) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hallo", "!", "how", "are", "you", "?"] ) self.assertListEqual(tokenizer.tokenize("H\u00e9llo"), ["hello"]) def test_basic_tokenizer_no_lower(self): tokenizer = BasicTokenizer(do_lower_case=False) self.assertListEqual( tokenizer.tokenize(" \tHeLLo!how \n Are yoU? "), ["HeLLo", "!", "how", "Are", "yoU", "?"] ) def test_basic_tokenizer_no_lower_strip_accents_false(self): tokenizer = BasicTokenizer(do_lower_case=False, strip_accents=False) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["HäLLo", "!", "how", "Are", "yoU", "?"] ) def test_basic_tokenizer_no_lower_strip_accents_true(self): tokenizer = BasicTokenizer(do_lower_case=False, strip_accents=True) self.assertListEqual( tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["HaLLo", "!", "how", "Are", "yoU", "?"] ) def test_basic_tokenizer_respects_never_split_tokens(self): tokenizer = BasicTokenizer(do_lower_case=False, never_split=["[UNK]"]) self.assertListEqual( tokenizer.tokenize(" \tHeLLo!how \n Are yoU? [UNK]"), ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"] ) def test_wordpiece_tokenizer(self): vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"] vocab = {} for i, token in enumerate(vocab_tokens): vocab[token] = i tokenizer = WordpieceTokenizer(vocab=vocab, unk_token="[UNK]") self.assertListEqual(tokenizer.tokenize(""), []) self.assertListEqual(tokenizer.tokenize("unwanted running"), ["un", "##want", "##ed", "runn", "##ing"]) self.assertListEqual(tokenizer.tokenize("unwantedX running"), ["[UNK]", "runn", "##ing"]) @require_torch def test_prepare_batch(self): tokenizer = self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased") src_text = ["A long paragraph for summarization.", "Another paragraph for summarization."] expected_src_tokens = [1037, 2146, 20423, 2005, 7680, 7849, 3989, 1012, 102] batch = tokenizer(src_text, padding=True, return_tensors="pt") self.assertIsInstance(batch, BatchEncoding) result = list(batch.input_ids.numpy()[0]) self.assertListEqual(expected_src_tokens, result) self.assertEqual((2, 9), batch.input_ids.shape) self.assertEqual((2, 9), batch.attention_mask.shape) def test_is_whitespace(self): self.assertTrue(_is_whitespace(" ")) self.assertTrue(_is_whitespace("\t")) self.assertTrue(_is_whitespace("\r")) self.assertTrue(_is_whitespace("\n")) self.assertTrue(_is_whitespace("\u00a0")) self.assertFalse(_is_whitespace("A")) self.assertFalse(_is_whitespace("-")) def test_is_control(self): self.assertTrue(_is_control("\u0005")) self.assertFalse(_is_control("A")) self.assertFalse(_is_control(" ")) self.assertFalse(_is_control("\t")) self.assertFalse(_is_control("\r")) def test_is_punctuation(self): self.assertTrue(_is_punctuation("-")) self.assertTrue(_is_punctuation("$")) self.assertTrue(_is_punctuation("`")) self.assertTrue(_is_punctuation(".")) self.assertFalse(_is_punctuation("A")) self.assertFalse(_is_punctuation(" ")) @slow def test_sequence_builders(self): tokenizer = self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased") text = tokenizer.encode("sequence builders", add_special_tokens=False) text_2 = tokenizer.encode("multi-sequence build", add_special_tokens=False) encoded_sentence = tokenizer.build_inputs_with_special_tokens(text) encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2) assert encoded_sentence == text + [102] assert encoded_pair == text + [102] + text_2 + [102]