



'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCamelCase__:     Dict										=    {
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__:     Optional[int]										=    [
						    "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "M2M100ForConditionalGeneration",
						    "M2M100Model",
						    "M2M100PreTrainedModel",
						]


if TYPE_CHECKING:
						from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
						from .tokenization_mam_aaa import MaMaaaTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mam_aaa import (
												    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MaMaaaForConditionalGeneration,
												    MaMaaaModel,
												    MaMaaaPreTrainedModel,
												)


else:
						import sys

						UpperCamelCase__:     Optional[int]										=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


UpperCamelCase__:     Dict										=    logging.get_logger(__name__)

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	def __init__(		self    :  Optional[Any]	,    *__snake_case    :  List[str]	,    **__snake_case    :  str	)    ->	None:
								warnings.warn(
								    '''The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
								    ''' use BeitImageProcessor instead.'''	,    __snake_case	,    )
								super().__init__(*__snake_case	,    **__snake_case	)





