

import os

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

from .logging import get_logger


__a						:Any            = 2 << 20  # 2mb
__a						:Union[str, Any]            = get_logger(__name__)

class      _a				( a__							):





      def 		__A  (      self       :							Dict  ):
            A_	     =							self._options.get_all_options().get("runner"  )
            return runner in [None, "DirectRunner", "PortableRunner"]




def 			__snake_case	(   __UpperCamelCase  :   Optional[Any]							,__UpperCamelCase  :   List[str]							,__UpperCamelCase  :   Dict=False						):



      """simple docstring"""

      A_	     =							FileSystems
      if fs.exists(snake_case__						):
            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(snake_case__						) as remote_file:
            with open(snake_case__							,"rb"						) as local_file:
                  A_	     =							local_file.read(snake_case__						)
                  while chunk:
                        remote_file.write(snake_case__						)
                        A_	     =							local_file.read(snake_case__						)



def 			__snake_case	(   __UpperCamelCase  :   List[str]							,__UpperCamelCase  :   Tuple							,__UpperCamelCase  :   Tuple=False						):



      """simple docstring"""

      A_	     =							FileSystems
      if os.path.exists(snake_case__						):
            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(snake_case__						) as remote_file:
            with open(snake_case__							,"wb"						) as local_file:
                  A_	     =							remote_file.read(snake_case__						)
                  while chunk:
                        local_file.write(snake_case__						)
                        A_	     =							remote_file.read(snake_case__						)


import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


__a						:Optional[int]            = logging.get_logger(__name__)

class      _a				( snake_case_							):




      """simple docstring"""

      def __init__(      self       :							List[Any]	, *UpperCAmelCase       :							Any	, **UpperCAmelCase       :							int  ):
            warnings.warn(
                "The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
                " Please use MobileNetV2ImageProcessor instead."	, UpperCAmelCase	, )
            super().__init__(*UpperCAmelCase	, **UpperCAmelCase  )