





"""simple docstring"""






import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase_			=							get_tests_dir('''fixtures/spiece.model''')



@require_sentencepiece
@require_tokenizers
class 	lowerCAmelCase					(      snake_case			,	unittest.TestCase							):
							lowerCAmelCase__						 =  AlbertTokenizer
							lowerCAmelCase__						 =  AlbertTokenizerFast
							lowerCAmelCase__						 =  True
							lowerCAmelCase__						 =  True
							lowerCAmelCase__						 =  True






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

														# We have a SentencePiece fixture for testing
														_UpperCAmelCase     =     AlbertTokenizer(a__     )
														tokenizer.save_pretrained(self.tmpdirname     )






							def 							__A (   self    ,  a__     ):
														_UpperCAmelCase     =     'this is a test'
														_UpperCAmelCase     =     'this is a test'
														return input_text, output_text






							def 							__A (   self     ):
														_UpperCAmelCase     =     '<pad>'
														_UpperCAmelCase     =     0

														self.assertEqual(self.get_tokenizer()._convert_token_to_id(a__     )    ,  a__     )
														self.assertEqual(self.get_tokenizer()._convert_id_to_token(a__     )    ,  a__     )






							def 							__A (   self     ):
														_UpperCAmelCase     =     list(self.get_tokenizer().get_vocab().keys()     )

														self.assertEqual(vocab_keys[0]    ,  '<pad>'     )
														self.assertEqual(vocab_keys[1]    ,  '<unk>'     )
														self.assertEqual(vocab_keys[-1]    ,  '▁eloquent'     )
														self.assertEqual(len(a__     )    ,  3_00_00     )






							def 							__A (   self     ):
														self.assertEqual(self.get_tokenizer().vocab_size    ,  3_00_00     )






							def 							__A (   self     ):







														if not self.test_rust_tokenizer:
																					return

														_UpperCAmelCase     =     self.get_tokenizer()
														_UpperCAmelCase     =     self.get_rust_tokenizer()

														_UpperCAmelCase     =     'I was born in 92000, and this is falsé.'

														_UpperCAmelCase     =     tokenizer.tokenize(a__     )
														_UpperCAmelCase     =     rust_tokenizer.tokenize(a__     )
														self.assertListEqual(a__    ,  a__     )

														_UpperCAmelCase     =     tokenizer.encode(a__    ,  add_special_tokens=a__     )
														_UpperCAmelCase     =     rust_tokenizer.encode(a__    ,  add_special_tokens=a__     )
														self.assertListEqual(a__    ,  a__     )

														_UpperCAmelCase     =     self.get_rust_tokenizer()
														_UpperCAmelCase     =     tokenizer.encode(a__     )
														_UpperCAmelCase     =     rust_tokenizer.encode(a__     )
														self.assertListEqual(a__    ,  a__     )






							def 							__A (   self     ):
														_UpperCAmelCase     =     AlbertTokenizer(a__    ,  keep_accents=a__     )

														_UpperCAmelCase     =     tokenizer.tokenize('This is a test'     )
														self.assertListEqual(a__    ,  ['▁this', '▁is', '▁a', '▁test']     )

														self.assertListEqual(tokenizer.convert_tokens_to_ids(a__     )    ,  [48, 25, 21, 12_89]     )

														_UpperCAmelCase     =     tokenizer.tokenize('I was born in 92000, and this is falsé.'     )
														self.assertListEqual(
														    a__    ,  ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', 'é', '.']     )
														_UpperCAmelCase     =     tokenizer.convert_tokens_to_ids(a__     )
														self.assertListEqual(a__    ,  [31, 23, 3_86, 19, 5_61, 30_50, 15, 17, 48, 25, 82_56, 18, 1, 9]     )

														_UpperCAmelCase     =     tokenizer.convert_ids_to_tokens(a__     )
														self.assertListEqual(
														    a__    ,  ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.']    ,  )






							def 							__A (   self     ):
														_UpperCAmelCase     =     AlbertTokenizer(a__     )

														_UpperCAmelCase     =     tokenizer.encode('sequence builders'     )
														_UpperCAmelCase     =     tokenizer.encode('multi-sequence build'     )

														_UpperCAmelCase     =     tokenizer.build_inputs_with_special_tokens(a__     )
														_UpperCAmelCase     =     tokenizer.build_inputs_with_special_tokens(a__    ,  a__     )

														assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
														assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
														    tokenizer.sep_token_id
														]






							@slow
							def 							__A (   self     ):
														_UpperCAmelCase     =     {'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'input_ids': [[2, 2_19_70, 13, 5, 60_92, 1_67, 28, 71_03, 21_53, 6_73, 8, 70_28, 1_20_51, 18, 17, 71_03, 21_53, 6_73, 8, 35_15, 1_86_84, 8, 44_61, 6, 19_27, 2_97, 8, 1_20_60, 26_07, 18, 13, 5, 44_61, 15, 1_05_38, 38, 8, 1_35, 15, 8_22, 58, 15, 9_93, 1_03_63, 15, 14_60, 80_05, 44_61, 15, 9_93, 2_55, 23_28, 9, 9, 9, 6, 26, 11_12, 8_16, 32_60, 13, 5, 1_03, 23_77, 6, 17, 11_12, 8_16, 27_82, 13, 5, 1_03, 1_06_41, 6, 29, 84, 25_12, 24_30, 7_82, 1_86_84, 27_61, 19, 8_08, 24_30, 25_56, 17, 8_55, 14_80, 94_77, 40_91, 1_28, 1_17_12, 15, 71_03, 21_53, 6_73, 17, 2_48_83, 99_90, 9, 3], [2, 1_15_02, 25, 10_06, 20, 7_82, 8, 1_18_09, 8_55, 17_32, 1_93_93, 1_86_67, 37, 3_67, 2_10_18, 69, 18_54, 34, 1_18_60, 1_91_24, 27, 1_56, 2_25, 17, 1_93, 41_41, 19, 65, 91_24, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 14, 22_31, 8_86, 23_85, 1_76_59, 84, 14, 1_67_92, 19_52, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
														# fmt: on

														self.tokenizer_integration_test_util(
														    expected_encoding=a__    ,  model_name='albert-base-v2'    ,  revision='6b6560eaf5ff2e250b00c50f380c5389a9c2d82e'    ,  )













"""simple docstring"""






# Copyright 2023 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.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase_			=							{'''configuration_timm_backbone''': ['''TimmBackboneConfig''']}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase_			=							['''TimmBackbone''']


if TYPE_CHECKING:
    from .configuration_timm_backbone import TimmBackboneConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_timm_backbone import TimmBackbone

else:
    import sys

    lowerCAmelCase_			=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






