


import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


snake_case       :					Optional[Any]        =  2 << 20  # 2mb
snake_case       :					Optional[int]        =  get_logger(__name__)







class 	_snake_case						(   lowerCAmelCase__							):




     def  SCREAMING_SNAKE_CASE__       (	self					):
           a		:str											= self._options.get_all_options().get('''runner'''					)
           return runner in [None, "DirectRunner", "PortableRunner"]







def        __lowerCamelCase		(				UpperCAmelCase_		:	Optional[int]				,						UpperCAmelCase_		:	List[Any]				,						UpperCAmelCase_		:	Union[str, Any]=False		):




      """simple docstring"""





      a		:Optional[int]											= FileSystems
      if fs.exists(UpperCAmelCase_		):
            if force_upload:
                  logger.info(F'''Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True.'''		)
            else:
                  logger.info(F'''Remote path already exist: {remote_file_path}. Skipping it as force_upload=False.'''		)
                  return
      with fs.create(UpperCAmelCase_		) as remote_file:
            with open(UpperCAmelCase_				,						'''rb'''		) as local_file:
                  a		:int											= local_file.read(UpperCAmelCase_		)
                  while chunk:
                        remote_file.write(UpperCAmelCase_		)
                        a		:str											= local_file.read(UpperCAmelCase_		)






def        __lowerCamelCase		(				UpperCAmelCase_		:	Any				,						UpperCAmelCase_		:	Tuple				,						UpperCAmelCase_		:	Union[str, Any]=False		):




      """simple docstring"""





      a		:List[str]											= FileSystems
      if os.path.exists(UpperCAmelCase_		):
            if force_download:
                  logger.info(F'''Local path already exist: {remote_file_path}. Overwriting it as force_upload=True.'''		)
            else:
                  logger.info(F'''Local path already exist: {remote_file_path}. Skipping it as force_upload=False.'''		)
                  return
      with fs.open(UpperCAmelCase_		) as remote_file:
            with open(UpperCAmelCase_				,						'''wb'''		) as local_file:
                  a		:Dict											= remote_file.read(UpperCAmelCase_		)
                  while chunk:
                        local_file.write(UpperCAmelCase_		)
                        a		:List[Any]											= remote_file.read(UpperCAmelCase_		)









import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


snake_case       :					Tuple        =  logging.get_logger(__name__)







class 	_snake_case						(   _snake_case							):




 def __init__(	self      ,						*_lowerCamelCase      ,						**_lowerCamelCase					):
       warnings.warn(
           '''The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
           ''' Please use ConvNextImageProcessor instead.'''      ,						_lowerCamelCase      ,						)
       super().__init__(*_lowerCamelCase      ,						**_lowerCamelCase					)





