




'''simple docstring'''




import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding

class 						lowerCAmelCase_   ( lowercase__   ):







		'''simple docstring'''







		lowerCAmelCase_				:					List[str]				     =						["""image_processor""", """tokenizer"""]
		lowerCAmelCase_				:					Optional[int]				     =						"""AutoImageProcessor"""
		lowerCAmelCase_				:					Optional[Any]				     =						"""AutoTokenizer"""


		def __init__(						self    :	Tuple						,		_UpperCAmelCase    :	Dict=None						,		_UpperCAmelCase    :	Optional[int]=None						,		**_UpperCAmelCase    :	Optional[int] ):






			"""simple docstring"""






			UpperCAmelCase__										=    None
			if "feature_extractor" in kwargs:
				warnings.warn(
				    """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
				    """ instead."""						,		_A						,		)
				UpperCAmelCase__										=    kwargs.pop("""feature_extractor""" )

			UpperCAmelCase__										=    image_processor if image_processor is not None else feature_extractor
			if image_processor is None:
				raise ValueError("""You have to specify an image_processor.""" )
			if tokenizer is None:
				raise ValueError("""You have to specify a tokenizer.""" )

			super().__init__(_A						,		_A )
			UpperCAmelCase__										=    self.image_processor


		def __call__(						self    :	str						,		_UpperCAmelCase    :	Dict=None						,		_UpperCAmelCase    :	Optional[int]=None						,		_UpperCAmelCase    :	Any=None						,		**_UpperCAmelCase    :	str ):






			"""simple docstring"""






			if text is None and images is None:
				raise ValueError("""You have to specify either text or images. Both cannot be none.""" )

			if text is not None:
				UpperCAmelCase__										=    self.tokenizer(_A						,		return_tensors=_A						,		**_A )

			if images is not None:
				UpperCAmelCase__										=    self.image_processor(_A						,		return_tensors=_A						,		**_A )

			if text is not None and images is not None:
				UpperCAmelCase__										=    image_features.pixel_values
				return encoding
			elif text is not None:
				return encoding
			else:
				return BatchEncoding(data=dict(**_A )						,		tensor_type=_A )


		def 							SCREAMING_SNAKE_CASE__			(						self    :	Optional[int]						,		*_UpperCAmelCase    :	List[str]						,		**_UpperCAmelCase    :	str ):






			"""simple docstring"""






			return self.tokenizer.batch_decode(*_A						,		**_A )


		def 							SCREAMING_SNAKE_CASE__			(						self    :	Any						,		*_UpperCAmelCase    :	Tuple						,		**_UpperCAmelCase    :	Union[str, Any] ):






			"""simple docstring"""






			return self.tokenizer.decode(*_A						,		**_A )


		@property
		def 							SCREAMING_SNAKE_CASE__			(						self    :	Tuple ):






			"""simple docstring"""






			UpperCAmelCase__										=    self.tokenizer.model_input_names
			UpperCAmelCase__										=    self.image_processor.model_input_names
			return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names ) )


		@property
		def 							SCREAMING_SNAKE_CASE__			(						self    :	List[str] ):






			"""simple docstring"""






			warnings.warn(
			    """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""						,		_A						,		)
			return self.image_processor_class



		@property
		def 							SCREAMING_SNAKE_CASE__			(						self    :	Union[str, Any] ):






			"""simple docstring"""






			warnings.warn(
			    """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""						,		_A						,		)
			return self.image_processor






'''simple docstring'''




import os

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

from .logging import get_logger


UpperCAmelCase_       				=      2 << 2_0  # 2mb
UpperCAmelCase_       				=      get_logger(__name__)

class 						lowerCAmelCase_   ( lowerCamelCase_   ):







  '''simple docstring'''







  def 							SCREAMING_SNAKE_CASE__			(						self    :	Any ):






   """simple docstring"""






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

def    _UpperCamelCase      (				SCREAMING_SNAKE_CASE__			:      Any       ,						SCREAMING_SNAKE_CASE__			:      List[Any]       ,						SCREAMING_SNAKE_CASE__			:      Any=False       ):
 '''simple docstring'''





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







def    _UpperCamelCase      (				SCREAMING_SNAKE_CASE__			:      Dict       ,						SCREAMING_SNAKE_CASE__			:      Any       ,						SCREAMING_SNAKE_CASE__			:      Dict=False       ):
 '''simple docstring'''





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