


import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


SCREAMING_SNAKE_CASE	:Union[str, Any]  		=     logging.get_logger(__name__)


class     __lowerCAmelCase     ( a					):






  """simple docstring"""





  def __init__(     self       :       List[str]    ,				*_lowerCAmelCase       :       Optional[int]    ,				**_lowerCAmelCase       :       Dict  )   -> None:




     """simple docstring"""
     warnings.warn(
         "The class MaskFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
         " Please use MaskFormerImageProcessor instead."    ,				_lowerCAmelCase    ,				)
     super().__init__(*_lowerCAmelCase    ,				**_lowerCAmelCase  )








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE	:List[str]  		=     {
    '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
    '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   SCREAMING_SNAKE_CASE	:List[str]  		=     [
       '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''ProphetNetDecoder''',
       '''ProphetNetEncoder''',
       '''ProphetNetForCausalLM''',
       '''ProphetNetForConditionalGeneration''',
       '''ProphetNetModel''',
       '''ProphetNetPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
   from .tokenization_prophetnet import ProphetNetTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_prophetnet import (
          PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
          ProphetNetDecoder,
          ProphetNetEncoder,
          ProphetNetForCausalLM,
          ProphetNetForConditionalGeneration,
          ProphetNetModel,
          ProphetNetPreTrainedModel,
      )

else:
   import sys

   SCREAMING_SNAKE_CASE	:int  		=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




