Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add missing Flaubert tokenizer tests #30492

Merged
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
1 change: 1 addition & 0 deletions src/transformers/models/flaubert/tokenization_flaubert.py
Original file line number Diff line number Diff line change
Expand Up @@ -246,6 +246,7 @@ def __init__(
self.cache = {}

super().__init__(
do_lowercase=do_lowercase,
unk_token=unk_token,
bos_token=bos_token,
sep_token=sep_token,
Expand Down
75 changes: 75 additions & 0 deletions tests/models/flaubert/test_tokenization_flaubert.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,75 @@
# coding=utf-8
# Copyright 2024 The HuggingFace Team. 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.
"""Testing suite for the FlauBERT tokenizer."""

import json
import os
import unittest

from transformers import FlaubertTokenizer
from transformers.models.flaubert.tokenization_flaubert import VOCAB_FILES_NAMES
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin


class FlaubertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
from_pretrained_id = "flaubert/flaubert_base_cased"
tokenizer_class = FlaubertTokenizer
test_rust_tokenizer = False

def setUp(self):
super().setUp()

# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
vocab = ["l", "o", "w", "e", "r", "s", "t", "i", "d", "n", "w</w>", "r</w>", "t</w>", "i</w>", "lo", "low", "ne", "new", "er</w>", "low</w>", "lowest</w>", "new</w>", "newer</w>", "wider</w>", "<unk>"] # fmt: skip

vocab_tokens = dict(zip(vocab, range(len(vocab))))
merges = ["n e 300", "ne w 301", "e r</w> 302", ""]

self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
self.merges_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES["merges_file"])
with open(self.vocab_file, "w", encoding="utf-8") as fp:
fp.write(json.dumps(vocab_tokens) + "\n")
with open(self.merges_file, "w", encoding="utf-8") as fp:
fp.write("\n".join(merges))

# Copied from transformers.tests.models.xlm.test_tokenization_xlm.XLMTokenizationTest.test_full_tokenizer
def test_full_tokenizer(self):
tokenizer = self.get_tokenizer()
text = "lower newer"
bpe_tokens = ["l", "o", "w", "er</w>", "new", "er</w>"]
tokens = tokenizer.tokenize(text)
self.assertListEqual(tokens, bpe_tokens)

input_tokens = tokens + [tokenizer.unk_token]
input_bpe_tokens = [0, 1, 2, 18, 17, 18, 24]
self.assertListEqual(tokenizer.convert_tokens_to_ids(input_tokens), input_bpe_tokens)

@slow
# Copied from transformers.tests.models.xlm.test_tokenization_xlm.XLMTokenizationTest.test_sequence_builders
def test_sequence_builders(self):
tokenizer = FlaubertTokenizer.from_pretrained("flaubert/flaubert_base_cased")

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)
print(encoded_sentence)
print(encoded_sentence)

assert encoded_sentence == [0] + text + [1]
assert encoded_pair == [0] + text + [1] + text_2 + [1]