

"""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,
    is_vision_available,
)


_SCREAMING_SNAKE_CASE							:	Tuple										=			{
    """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:
				_SCREAMING_SNAKE_CASE							:	int										=			[
				    """TVLT_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """TvltModel""",
				    """TvltForPreTraining""",
				    """TvltForAudioVisualClassification""",
				    """TvltPreTrainedModel""",
				]

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_SCREAMING_SNAKE_CASE							:	str										=			["""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

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





"""simple docstring"""





def 							_lowerCAmelCase   (    UpperCAmelCase  :				int					):


					'''simple docstring'''






					if not isinstance(UpperCAmelCase   ,				UpperCAmelCase					):
										raise ValueError('''double_factorial() only accepts integral values'''					)
					if n < 0:
										raise ValueError('''double_factorial() not defined for negative values'''					)
					return 1 if n <= 1 else n * double_factorial(n - 2					)


if __name__ == "__main__":
				import doctest

				doctest.testmod()


