




'''simple docstring'''


from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader

class      A       (						_a       ):







							def __init__(    self			:    Dict				,     lowerCAmelCase_			:    pyspark.sql.DataFrame				,     lowerCAmelCase_			:    Optional[NamedSplit] = None				,     lowerCAmelCase_			:    Optional[Features] = None				,     lowerCAmelCase_			:    bool = True				,     lowerCAmelCase_			:    str = None				,     lowerCAmelCase_			:    bool = False				,     lowerCAmelCase_			:    str = None				,     lowerCAmelCase_			:    bool = True				,     lowerCAmelCase_			:    str = "arrow"				,     **lowerCAmelCase_			:    str				,     )     ->				Optional[int]:


														"""simple docstring"""


														super().__init__(
														    split=lowerCAmelCase_				,     features=lowerCAmelCase_				,     cache_dir=lowerCAmelCase_				,     keep_in_memory=lowerCAmelCase_				,     streaming=lowerCAmelCase_				,     **lowerCAmelCase_				,     )
														_a      	=							load_from_cache_file
														_a      	=							file_format
														_a      	=							Spark(
														    df=lowerCAmelCase_				,     features=lowerCAmelCase_				,     cache_dir=lowerCAmelCase_				,     working_dir=lowerCAmelCase_				,     **lowerCAmelCase_				,     )







							def   __lowerCAmelCase     (    self			:    Any   )     ->				List[Any]:


														"""simple docstring"""


														if self.streaming:
																					return self.builder.as_streaming_dataset(split=self.split   )
														_a      	=							None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
														self.builder.download_and_prepare(
														    download_mode=lowerCAmelCase_				,     file_format=self._file_format				,     )
														return self.builder.as_dataset(split=self.split   )



"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


A__ :       List[Any]				= logging.get_logger(__name__)


class       __magic_name__							(							SCREAMING_SNAKE_CASE__			):
       def __init__(  self			,					*A_			,					**A_							)  ->						None:





         """simple docstring"""




         warnings.warn(
             '''The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
             ''' Please use SegformerImageProcessor instead.'''			,					A_			,					)
         super().__init__(*A_			,					**A_							)
