





from __future__ import annotations

from typing import Any
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   pass






class     SCREAMING_SNAKE_CASE       :


   def __init__(   self      :    List[str]      ,					a      :    Any	)->       None:





     """simple docstring"""







     lowercase__           =  data
     lowercase__           =  None


   def __iter__(   self      :    str	)->       Optional[Any]:





     """simple docstring"""







     lowercase__           =  self
     lowercase__           =  []
     while node:
       if node in visited:
         raise ContainsLoopError
       visited.append(a	)
       yield node.data
       lowercase__           =  node.next_node


   @property
   def 	SCREAMING_SNAKE_CASE_							(   self      :    Tuple	)->       bool:





     """simple docstring"""







     try:
       list(self	)
       return False
     except ContainsLoopError:
       return True


if __name__ == "__main__":
      lowercase_          =		Node(1)
      lowercase_          =		Node(2)
      lowercase_          =		Node(3)
      lowercase_          =		Node(4)
      print(root_node.has_loop)  # False
      lowercase_          =		root_node.next_node
      print(root_node.has_loop)  # True

      lowercase_          =		Node(5)
      lowercase_          =		Node(6)
      lowercase_          =		Node(5)
      lowercase_          =		Node(6)
      print(root_node.has_loop)  # False

      lowercase_          =		Node(1)
      print(root_node.has_loop)  # False









from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):


   def __init__(   self      :    List[str]      ,					a      :    Callable      ,					a      :    Optional[Features] = None      ,					a      :    str = None      ,					a      :    bool = False      ,					a      :    bool = False      ,					a      :    Optional[dict] = None      ,					a      :    Optional[int] = None      ,					**a      :    str      ,					)->       Tuple:





     """simple docstring"""







     super().__init__(
         features=a      ,					cache_dir=a      ,					keep_in_memory=a      ,					streaming=a      ,					num_proc=a      ,					**a      ,					)
     lowercase__           =  Generator(
         cache_dir=a      ,					features=a      ,					generator=a      ,					gen_kwargs=a      ,					**a      ,					)


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Any	)->       Dict:





     """simple docstring"""







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

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


