


# 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,
    is_vision_available,
)


lowerCAmelCase__       :	Union[str, Any]     				={
    'configuration_tvlt': ['TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TvltConfig'],
    'feature_extraction_tvlt': ['TvltFeatureExtractor'],
    'processing_tvlt': ['TvltProcessor'],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Dict     				=[
				    'TVLT_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'TvltModel',
				    'TvltForPreTraining',
				    'TvltForAudioVisualClassification',
				    'TvltPreTrainedModel',
				]

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Optional[int]     				=['TvltImageProcessor']


if TYPE_CHECKING:
				from .configuration_tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig
				from .processing_tvlt import TvltProcessor
				from .feature_extraction_tvlt import TvltFeatureExtractor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tvlt import (
								    TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TvltForAudioVisualClassification,
								    TvltForPreTraining,
								    TvltModel,
								    TvltPreTrainedModel,
								)

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .image_processing_tvlt import TvltImageProcessor


else:
				import sys

				lowerCAmelCase__       :	List[Any]     				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)









import warnings

from ...utils import logging
from .image_processing_vilt import ViltImageProcessor


lowerCAmelCase__       :	int     				=logging.get_logger(__name__)







class      __lowercase  (__SCREAMING_SNAKE_CASE   ):





							"""simple docstring"""







							def __init__(	self       ,		*lowerCAmelCase__       ,		**lowerCAmelCase__    ):





										"""simple docstring"""




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





