



# 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,
)


_lowercase				:					int     					={
    """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:
	_lowercase				:					Union[str, Any]     					=[
	    """TVLT_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TvltModel""",
	    """TvltForPreTraining""",
	    """TvltForAudioVisualClassification""",
	    """TvltPreTrainedModel""",
	]

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase				:					Union[str, Any]     					=["""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

	_lowercase				:					Union[str, Any]     					=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






from typing import TYPE_CHECKING

from ...utils import _LazyModule


_lowercase				:					List[Any]     					={"""tokenization_bert_japanese""": ["""BertJapaneseTokenizer""", """CharacterTokenizer""", """MecabTokenizer"""]}


if TYPE_CHECKING:
	from .tokenization_bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer

else:
	import sys

	_lowercase				:					Union[str, Any]     					=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

