"""simple docstring"""


from ..utils import DummyObject, requires_backends






class    a__    (   metaclass=snake_case__	):
       snake_case_							=      ["""torch""", """transformers""", """onnx"""]


       def __init__(     self,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(self,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )






class    a__    (   metaclass=snake_case__	):
       snake_case_							=      ["""torch""", """transformers""", """onnx"""]


       def __init__(     self,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(self,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )






class    a__    (   metaclass=snake_case__	):
       snake_case_							=      ["""torch""", """transformers""", """onnx"""]


       def __init__(     self,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(self,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )






class    a__    (   metaclass=snake_case__	):
       snake_case_							=      ["""torch""", """transformers""", """onnx"""]


       def __init__(     self,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(self,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )






class    a__    (   metaclass=snake_case__	):
       snake_case_							=      ["""torch""", """transformers""", """onnx"""]


       def __init__(     self,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(self,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )






class    a__    (   metaclass=snake_case__	):
       snake_case_							=      ["""torch""", """transformers""", """onnx"""]


       def __init__(     self,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(self,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )


       @classmethod
       def 	snake_case__	(     cls,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
            '''simple docstring'''



            requires_backends(cls,				["torch", "transformers", "onnx"]  )





"""simple docstring"""


from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader






class    a__    (   _a	):


   def __init__(     self,				_UpperCAmelCase,				_UpperCAmelCase = None,				_UpperCAmelCase = None,				_UpperCAmelCase = None,				_UpperCAmelCase = False,				_UpperCAmelCase = False,				_UpperCAmelCase = None,				**_UpperCAmelCase,				):
        '''simple docstring'''



        super().__init__(
            _UpperCAmelCase,				split=_UpperCAmelCase,				features=_UpperCAmelCase,				cache_dir=_UpperCAmelCase,				keep_in_memory=_UpperCAmelCase,				streaming=_UpperCAmelCase,				num_proc=_UpperCAmelCase,				**_UpperCAmelCase,				)
        lowercase__				 =							path_or_paths if isinstance(_UpperCAmelCase,				_UpperCAmelCase  ) else {self.split: path_or_paths}
        lowercase__				 =							Text(
            cache_dir=_UpperCAmelCase,				data_files=_UpperCAmelCase,				features=_UpperCAmelCase,				**_UpperCAmelCase,				)


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        if self.streaming:
             lowercase__				 =							self.builder.as_streaming_dataset(split=self.split  )
        # Build regular (map-style) dataset
        else:
             lowercase__				 =							None
             lowercase__				 =							None
             lowercase__				 =							None
             lowercase__				 =							None

             self.builder.download_and_prepare(
                 download_config=_UpperCAmelCase,				download_mode=_UpperCAmelCase,				verification_mode=_UpperCAmelCase,				base_path=_UpperCAmelCase,				num_proc=self.num_proc,				)
             lowercase__				 =							self.builder.as_dataset(
                 split=self.split,				verification_mode=_UpperCAmelCase,				in_memory=self.keep_in_memory  )
        return dataset




