# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# 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 logging
import unittest

from transformers import (
    BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
    GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP,
    AutoTokenizer,
    BertTokenizer,
    GPT2Tokenizer,
    RobertaTokenizer,
)

from .utils import DUMMY_UNKWOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, slow  # noqa: F401


class AutoTokenizerTest(unittest.TestCase):
    # @slow
    def test_tokenizer_from_pretrained(self):
        logging.basicConfig(level=logging.INFO)
        for model_name in [x for x in BERT_PRETRAINED_CONFIG_ARCHIVE_MAP if not "japanese" in x]:
            tokenizer = AutoTokenizer.from_pretrained(model_name)
            self.assertIsNotNone(tokenizer)
            self.assertIsInstance(tokenizer, BertTokenizer)
            self.assertGreater(len(tokenizer), 0)

        for model_name in list(GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP.keys())[:1]:
            tokenizer = AutoTokenizer.from_pretrained(model_name)
            self.assertIsNotNone(tokenizer)
            self.assertIsInstance(tokenizer, GPT2Tokenizer)
            self.assertGreater(len(tokenizer), 0)

    def test_tokenizer_from_pretrained_identifier(self):
        logging.basicConfig(level=logging.INFO)
        tokenizer = AutoTokenizer.from_pretrained(SMALL_MODEL_IDENTIFIER)
        self.assertIsInstance(tokenizer, BertTokenizer)
        self.assertEqual(len(tokenizer), 12)

    def test_tokenizer_from_model_type(self):
        logging.basicConfig(level=logging.INFO)
        tokenizer = AutoTokenizer.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER)
        self.assertIsInstance(tokenizer, RobertaTokenizer)
        self.assertEqual(len(tokenizer), 20)

# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# 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 logging
import unittest

from transformers import (
    BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
    GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP,
    AutoTokenizer,
    BertTokenizer,
    GPT2Tokenizer,
    RobertaTokenizer,
)

from .utils import DUMMY_UNKWOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, slow  # noqa: F401


class AutoTokenizerTest(unittest.TestCase):
    # @slow
    def test_tokenizer_from_pretrained(self):
        logging.basicConfig(level=logging.INFO)
        for model_name in [x for x in BERT_PRETRAINED_CONFIG_ARCHIVE_MAP.keys() if not "japanese" in x]:
            tokenizer = AutoTokenizer.from_pretrained(model_name)
            self.assertIsNotNone(tokenizer)
            self.assertIsInstance(tokenizer, BertTokenizer)
            self.assertGreater(len(tokenizer), 0)

        for model_name in list(GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP.keys())[:1]:
            tokenizer = AutoTokenizer.from_pretrained(model_name)
            self.assertIsNotNone(tokenizer)
            self.assertIsInstance(tokenizer, GPT2Tokenizer)
            self.assertGreater(len(tokenizer), 0)

    def test_tokenizer_from_pretrained_identifier(self):
        logging.basicConfig(level=logging.INFO)
        tokenizer = AutoTokenizer.from_pretrained(SMALL_MODEL_IDENTIFIER)
        self.assertIsInstance(tokenizer, BertTokenizer)
        self.assertEqual(len(tokenizer), 12)

    def test_tokenizer_from_model_type(self):
        logging.basicConfig(level=logging.INFO)
        tokenizer = AutoTokenizer.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER)
        self.assertIsInstance(tokenizer, RobertaTokenizer)
        self.assertEqual(len(tokenizer), 20)

Update test_tokenization_auto.py