
# 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, is_vision_available


_lowerCamelCase       :				List[str]       =			{
    '''configuration_vivit''': ['''VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VivitConfig'''],
}
try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_lowerCamelCase       :				Dict       =			['''VivitImageProcessor''']


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_lowerCamelCase       :				Union[str, Any]       =			[
			    '''VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''VivitModel''',
			    '''VivitPreTrainedModel''',
			    '''VivitForVideoClassification''',
			]


if TYPE_CHECKING:
			from .configuration_vivit import VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, VivitConfig

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .image_processing_vivit import VivitImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vivit import (
						    VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    VivitForVideoClassification,
						    VivitModel,
						    VivitPreTrainedModel,
						)


else:
			import sys

			_lowerCamelCase       :				Dict       =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


_lowerCamelCase       :				Dict       =			logging.get_logger(__name__)




class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	def __init__(  self	:    Tuple			,  *lowercase	:    Optional[int]			,  **lowercase	:    Any	):


				'''simple docstring'''


				warnings.warn(
				    'The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
				    ' Please use ChineseCLIPImageProcessor instead.'			,  lowercase			,  )
				super().__init__(*lowercase			,  **lowercase	)