
"""simple docstring"""


from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest







@require_tokenizers
class 	lowerCamelCase__      (      __magic_name__       ):





			'''simple docstring'''
			lowerCamelCase						      =	SqueezeBertTokenizer
			lowerCamelCase						      =	SqueezeBertTokenizerFast
			lowerCamelCase						      =	True



			def       _lowerCAmelCase	(							self  ,  **__UpperCAmelCase						)				->  Optional[Any]:
				return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname  ,  **__UpperCAmelCase						)



			@slow
			def       _lowerCAmelCase	(							self						)				->  Union[str, Any]:
				_lowerCAmelCase			=SqueezeBertTokenizer.from_pretrained("""squeezebert/squeezebert-mnli-headless"""						)

				_lowerCAmelCase			=tokenizer.encode("""sequence builders"""  ,  add_special_tokens=__UpperCAmelCase						)
				_lowerCAmelCase			=tokenizer.encode("""multi-sequence build"""  ,  add_special_tokens=__UpperCAmelCase						)

				_lowerCAmelCase			=tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase						)
				_lowerCAmelCase			=tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase  ,  __UpperCAmelCase						)

				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
				]





"""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

# rely on isort to merge the imports
from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__A 		= {
    'configuration_convnextv2': [
        'CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ConvNextV2Config',
    ]
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__A 		= [
			    'CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'ConvNextV2ForImageClassification',
			    'ConvNextV2Model',
			    'ConvNextV2PreTrainedModel',
			    'ConvNextV2Backbone',
			]


if TYPE_CHECKING:
			from .configuration_convnextva import (
			    CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    ConvNextVaConfig,
			)

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_convnextva import (
						    CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ConvNextVaBackbone,
						    ConvNextVaForImageClassification,
						    ConvNextVaModel,
						    ConvNextVaPreTrainedModel,
						)

else:
			import sys

			__A 		= _LazyModule(__name__, globals()['__file__'], _import_structure)



