Add missing RetriBERT tokenizer tests (#17017)
* Create RetriBERT tests folder * Add missing RetriBERT tokenizer test file * Apply style corrections * Add non-english filter * Update tests/retribert/test_tokenization_retribert.py Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com> * Update tests/retribert/test_tokenization_retribert.py Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com> * Move test files to new directory * Update import path for testing utils to new test file structure Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>
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# coding=utf-8
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# Copyright 2022 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" Testing suite for the RetriBERT tokenizer. """
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import os
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import unittest
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from transformers import RetriBertTokenizer, RetriBertTokenizerFast
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from transformers.models.bert.tokenization_bert import (
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VOCAB_FILES_NAMES,
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BasicTokenizer,
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WordpieceTokenizer,
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_is_control,
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_is_punctuation,
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_is_whitespace,
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)
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from transformers.testing_utils import require_tokenizers, slow
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from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
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# Copied from transformers.tests.bert.test_modeling_bert.py with Bert->RetriBert
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@require_tokenizers
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class RetriBertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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tokenizer_class = RetriBertTokenizer
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test_slow_tokenizer = True
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rust_tokenizer_class = RetriBertTokenizerFast
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test_rust_tokenizer = True
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space_between_special_tokens = True
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from_pretrained_filter = filter_non_english
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def setUp(self):
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super().setUp()
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vocab_tokens = [
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"[UNK]",
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"[CLS]",
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"[SEP]",
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"[PAD]",
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"[MASK]",
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"want",
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"##want",
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"##ed",
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"wa",
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"un",
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"runn",
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"##ing",
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",",
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"low",
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"lowest",
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]
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self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
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with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer:
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vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
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def get_input_output_texts(self, tokenizer):
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input_text = "UNwant\u00E9d,running"
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output_text = "unwanted, running"
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return input_text, output_text
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def test_full_tokenizer(self):
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tokenizer = self.tokenizer_class(self.vocab_file)
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tokens = tokenizer.tokenize("UNwant\u00E9d,running")
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self.assertListEqual(tokens, ["un", "##want", "##ed", ",", "runn", "##ing"])
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self.assertListEqual(tokenizer.convert_tokens_to_ids(tokens), [9, 6, 7, 12, 10, 11])
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def test_rust_and_python_full_tokenizers(self):
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if not self.test_rust_tokenizer:
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return
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tokenizer = self.get_tokenizer()
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rust_tokenizer = self.get_rust_tokenizer()
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sequence = "UNwant\u00E9d,running"
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tokens = tokenizer.tokenize(sequence)
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rust_tokens = rust_tokenizer.tokenize(sequence)
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self.assertListEqual(tokens, rust_tokens)
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ids = tokenizer.encode(sequence, add_special_tokens=False)
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rust_ids = rust_tokenizer.encode(sequence, add_special_tokens=False)
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self.assertListEqual(ids, rust_ids)
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rust_tokenizer = self.get_rust_tokenizer()
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ids = tokenizer.encode(sequence)
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rust_ids = rust_tokenizer.encode(sequence)
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self.assertListEqual(ids, rust_ids)
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# With lower casing
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tokenizer = self.get_tokenizer(do_lower_case=True)
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rust_tokenizer = self.get_rust_tokenizer(do_lower_case=True)
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sequence = "UNwant\u00E9d,running"
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tokens = tokenizer.tokenize(sequence)
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rust_tokens = rust_tokenizer.tokenize(sequence)
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self.assertListEqual(tokens, rust_tokens)
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ids = tokenizer.encode(sequence, add_special_tokens=False)
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rust_ids = rust_tokenizer.encode(sequence, add_special_tokens=False)
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self.assertListEqual(ids, rust_ids)
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rust_tokenizer = self.get_rust_tokenizer()
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ids = tokenizer.encode(sequence)
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rust_ids = rust_tokenizer.encode(sequence)
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self.assertListEqual(ids, rust_ids)
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def test_chinese(self):
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tokenizer = BasicTokenizer()
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self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"), ["ah", "\u535A", "\u63A8", "zz"])
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def test_basic_tokenizer_lower(self):
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tokenizer = BasicTokenizer(do_lower_case=True)
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self.assertListEqual(
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tokenizer.tokenize(" \tHeLLo!how \n Are yoU? "), ["hello", "!", "how", "are", "you", "?"]
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)
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self.assertListEqual(tokenizer.tokenize("H\u00E9llo"), ["hello"])
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def test_basic_tokenizer_lower_strip_accents_false(self):
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tokenizer = BasicTokenizer(do_lower_case=True, strip_accents=False)
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self.assertListEqual(
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tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hällo", "!", "how", "are", "you", "?"]
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)
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self.assertListEqual(tokenizer.tokenize("H\u00E9llo"), ["h\u00E9llo"])
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def test_basic_tokenizer_lower_strip_accents_true(self):
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tokenizer = BasicTokenizer(do_lower_case=True, strip_accents=True)
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self.assertListEqual(
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tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hallo", "!", "how", "are", "you", "?"]
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)
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self.assertListEqual(tokenizer.tokenize("H\u00E9llo"), ["hello"])
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def test_basic_tokenizer_lower_strip_accents_default(self):
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tokenizer = BasicTokenizer(do_lower_case=True)
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self.assertListEqual(
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tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["hallo", "!", "how", "are", "you", "?"]
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)
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self.assertListEqual(tokenizer.tokenize("H\u00E9llo"), ["hello"])
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def test_basic_tokenizer_no_lower(self):
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tokenizer = BasicTokenizer(do_lower_case=False)
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self.assertListEqual(
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tokenizer.tokenize(" \tHeLLo!how \n Are yoU? "), ["HeLLo", "!", "how", "Are", "yoU", "?"]
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)
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def test_basic_tokenizer_no_lower_strip_accents_false(self):
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tokenizer = BasicTokenizer(do_lower_case=False, strip_accents=False)
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self.assertListEqual(
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tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["HäLLo", "!", "how", "Are", "yoU", "?"]
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)
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def test_basic_tokenizer_no_lower_strip_accents_true(self):
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tokenizer = BasicTokenizer(do_lower_case=False, strip_accents=True)
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self.assertListEqual(
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tokenizer.tokenize(" \tHäLLo!how \n Are yoU? "), ["HaLLo", "!", "how", "Are", "yoU", "?"]
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)
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def test_basic_tokenizer_respects_never_split_tokens(self):
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tokenizer = BasicTokenizer(do_lower_case=False, never_split=["[UNK]"])
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self.assertListEqual(
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tokenizer.tokenize(" \tHeLLo!how \n Are yoU? [UNK]"), ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]
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)
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def test_wordpiece_tokenizer(self):
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vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]
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vocab = {}
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for (i, token) in enumerate(vocab_tokens):
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vocab[token] = i
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tokenizer = WordpieceTokenizer(vocab=vocab, unk_token="[UNK]")
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self.assertListEqual(tokenizer.tokenize(""), [])
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self.assertListEqual(tokenizer.tokenize("unwanted running"), ["un", "##want", "##ed", "runn", "##ing"])
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self.assertListEqual(tokenizer.tokenize("unwantedX running"), ["[UNK]", "runn", "##ing"])
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def test_is_whitespace(self):
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self.assertTrue(_is_whitespace(" "))
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self.assertTrue(_is_whitespace("\t"))
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self.assertTrue(_is_whitespace("\r"))
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self.assertTrue(_is_whitespace("\n"))
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self.assertTrue(_is_whitespace("\u00A0"))
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self.assertFalse(_is_whitespace("A"))
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self.assertFalse(_is_whitespace("-"))
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def test_is_control(self):
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self.assertTrue(_is_control("\u0005"))
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self.assertFalse(_is_control("A"))
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self.assertFalse(_is_control(" "))
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self.assertFalse(_is_control("\t"))
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self.assertFalse(_is_control("\r"))
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def test_is_punctuation(self):
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self.assertTrue(_is_punctuation("-"))
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self.assertTrue(_is_punctuation("$"))
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self.assertTrue(_is_punctuation("`"))
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self.assertTrue(_is_punctuation("."))
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self.assertFalse(_is_punctuation("A"))
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self.assertFalse(_is_punctuation(" "))
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def test_clean_text(self):
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tokenizer = self.get_tokenizer()
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rust_tokenizer = self.get_rust_tokenizer()
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# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
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self.assertListEqual([tokenizer.tokenize(t) for t in ["Test", "\xad", "test"]], [["[UNK]"], [], ["[UNK]"]])
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self.assertListEqual(
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[rust_tokenizer.tokenize(t) for t in ["Test", "\xad", "test"]], [["[UNK]"], [], ["[UNK]"]]
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)
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@slow
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def test_sequence_builders(self):
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tokenizer = self.tokenizer_class.from_pretrained("yjernite/retribert-base-uncased")
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text = tokenizer.encode("sequence builders", add_special_tokens=False)
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text_2 = tokenizer.encode("multi-sequence build", add_special_tokens=False)
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encoded_sentence = tokenizer.build_inputs_with_special_tokens(text)
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encoded_pair = tokenizer.build_inputs_with_special_tokens(text, text_2)
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assert encoded_sentence == [101] + text + [102]
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assert encoded_pair == [101] + text + [102] + text_2 + [102]
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def test_offsets_with_special_characters(self):
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for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
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with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
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tokenizer_r = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs)
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sentence = f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
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tokens = tokenizer_r.encode_plus(
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sentence,
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return_attention_mask=False,
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return_token_type_ids=False,
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return_offsets_mapping=True,
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add_special_tokens=True,
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)
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do_lower_case = tokenizer_r.do_lower_case if hasattr(tokenizer_r, "do_lower_case") else False
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expected_results = (
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[
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((0, 0), tokenizer_r.cls_token),
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((0, 1), "A"),
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((1, 2), ","),
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((3, 5), "na"),
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((5, 6), "##ï"),
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((6, 8), "##ve"),
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((9, 15), tokenizer_r.mask_token),
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((16, 21), "Allen"),
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((21, 23), "##NL"),
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((23, 24), "##P"),
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((25, 33), "sentence"),
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((33, 34), "."),
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((0, 0), tokenizer_r.sep_token),
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]
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if not do_lower_case
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else [
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((0, 0), tokenizer_r.cls_token),
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((0, 1), "a"),
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((1, 2), ","),
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((3, 8), "naive"),
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((9, 15), tokenizer_r.mask_token),
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((16, 21), "allen"),
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((21, 23), "##nl"),
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((23, 24), "##p"),
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((25, 33), "sentence"),
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((33, 34), "."),
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((0, 0), tokenizer_r.sep_token),
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]
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)
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self.assertEqual(
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[e[1] for e in expected_results], tokenizer_r.convert_ids_to_tokens(tokens["input_ids"])
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)
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self.assertEqual([e[0] for e in expected_results], tokens["offset_mapping"])
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def test_change_tokenize_chinese_chars(self):
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list_of_commun_chinese_char = ["的", "人", "有"]
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text_with_chinese_char = "".join(list_of_commun_chinese_char)
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for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
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with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
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kwargs["tokenize_chinese_chars"] = True
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tokenizer_p = self.tokenizer_class.from_pretrained(pretrained_name, **kwargs)
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tokenizer_r = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs)
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ids_without_spe_char_p = tokenizer_p.encode(text_with_chinese_char, add_special_tokens=False)
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ids_without_spe_char_r = tokenizer_r.encode(text_with_chinese_char, add_special_tokens=False)
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tokens_without_spe_char_r = tokenizer_r.convert_ids_to_tokens(ids_without_spe_char_r)
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tokens_without_spe_char_p = tokenizer_p.convert_ids_to_tokens(ids_without_spe_char_p)
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# it is expected that each Chinese character is not preceded by "##"
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self.assertListEqual(tokens_without_spe_char_p, list_of_commun_chinese_char)
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self.assertListEqual(tokens_without_spe_char_r, list_of_commun_chinese_char)
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kwargs["tokenize_chinese_chars"] = False
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tokenizer_r = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs)
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tokenizer_p = self.tokenizer_class.from_pretrained(pretrained_name, **kwargs)
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ids_without_spe_char_r = tokenizer_r.encode(text_with_chinese_char, add_special_tokens=False)
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ids_without_spe_char_p = tokenizer_p.encode(text_with_chinese_char, add_special_tokens=False)
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tokens_without_spe_char_r = tokenizer_r.convert_ids_to_tokens(ids_without_spe_char_r)
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tokens_without_spe_char_p = tokenizer_p.convert_ids_to_tokens(ids_without_spe_char_p)
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# it is expected that only the first Chinese character is not preceded by "##".
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expected_tokens = [
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f"##{token}" if idx != 0 else token for idx, token in enumerate(list_of_commun_chinese_char)
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]
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self.assertListEqual(tokens_without_spe_char_p, expected_tokens)
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self.assertListEqual(tokens_without_spe_char_r, expected_tokens)
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