code: 
  '''simple docstring'''
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  __A          =    {"""configuration_vilt""": ["""VILT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViltConfig"""]}
  
  try:
  				if not is_vision_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				__A          =    ["""ViltFeatureExtractor"""]
  				__A          =    ["""ViltImageProcessor"""]
  				__A          =    ["""ViltProcessor"""]
  
  try:
  				if not is_torch_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				__A          =    [
  				    """VILT_PRETRAINED_MODEL_ARCHIVE_LIST""",
  				    """ViltForImageAndTextRetrieval""",
  				    """ViltForImagesAndTextClassification""",
  				    """ViltForTokenClassification""",
  				    """ViltForMaskedLM""",
  				    """ViltForQuestionAnswering""",
  				    """ViltLayer""",
  				    """ViltModel""",
  				    """ViltPreTrainedModel""",
  				]
  
  
  if TYPE_CHECKING:
  				from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig
  
  				try:
  								if not is_vision_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .feature_extraction_vilt import ViltFeatureExtractor
  								from .image_processing_vilt import ViltImageProcessor
  								from .processing_vilt import ViltProcessor
  
  				try:
  								if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .modeling_vilt import (
  								    VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
  								    ViltForImageAndTextRetrieval,
  								    ViltForImagesAndTextClassification,
  								    ViltForMaskedLM,
  								    ViltForQuestionAnswering,
  								    ViltForTokenClassification,
  								    ViltLayer,
  								    ViltModel,
  								    ViltPreTrainedModel,
  								)
  
  
  else:
  				import sys
  
  				__A          =    _LazyModule(__name__, globals()["__file__"], _import_structure)
style_context: 
  '''simple docstring'''
  
  
  
  def  _A		(							lowercase__	):
  
  						# validate:
  						if not isinstance(lowercase__		,		lowercase__	) or not all(
  						    isinstance(lowercase__		,		lowercase__	) and item >= 0 for item in citations	):
  												raise ValueError("""The citations should be a list of non negative integers."""	)
  
  						citations.sort()
  						lowercase__							 =       len(lowercase__	)
  
  						for i in range(lowercase__	):
  												if citations[len_citations - 1 - i] <= i:
  																		return i
  
  						return len_citations
  
  
  if __name__ == "__main__":
  				import doctest
  
  				doctest.testmod()
  
  
  
  
  
  
  