




import os

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

from .logging import get_logger


UpperCAmelCase_       :  Dict      =		2 << 2_0  # 2mb
UpperCAmelCase_       :  int      =		get_logger(__name__)





class     lowerCAmelCase   ( __lowerCAmelCase):


       def       lowerCAmelCase      (   self  )      ->  int:



            '''simple docstring'''




            __snake_case    					=  self._options.get_all_options().get('''runner'''  )
            return runner in [None, "DirectRunner", "PortableRunner"]







def 			_UpperCamelCase (_lowerCamelCase							:     Optional[Any]   ,	_lowerCamelCase							:     Optional[int]   ,	_lowerCamelCase							:     Optional[int]=False	)->   str:




     '''simple docstring'''





     __snake_case    					=  FileSystems
     if fs.exists(_lowerCamelCase	):
          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(_lowerCamelCase	) as remote_file:
          with open(_lowerCamelCase   ,	'''rb'''	) as local_file:
               __snake_case    					=  local_file.read(_lowerCamelCase	)
               while chunk:
                    remote_file.write(_lowerCamelCase	)
                    __snake_case    					=  local_file.read(_lowerCamelCase	)







def 			_UpperCamelCase (_lowerCamelCase							:     List[str]   ,	_lowerCamelCase							:     str   ,	_lowerCamelCase							:     Any=False	)->   List[str]:




     '''simple docstring'''





     __snake_case    					=  FileSystems
     if os.path.exists(_lowerCamelCase	):
          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(_lowerCamelCase	) as remote_file:
          with open(_lowerCamelCase   ,	'''wb'''	) as local_file:
               __snake_case    					=  remote_file.read(_lowerCamelCase	)
               while chunk:
                    local_file.write(_lowerCamelCase	)
                    __snake_case    					=  remote_file.read(_lowerCamelCase	)












'''simple docstring'''



from transformers import ProcessorMixin





class     lowerCAmelCase   ( __lowerCAmelCase):
       __lowercase  :      Union[str, Any]        =			'''AutoFeatureExtractor'''
       __lowercase  :      List[Any]        =			'''AutoTokenizer'''






