



"""simple docstring"""
from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream


class 				lowerCamelCase_( _SCREAMING_SNAKE_CASE     ):





					'''simple docstring'''



					def __init__(     self					,							lowerCamelCase__					,							lowerCamelCase__ = None					,							lowerCamelCase__ = None					,							lowerCamelCase__ = False					,							lowerCamelCase__ = False					,							lowerCamelCase__ = None					,							lowerCamelCase__ = None					,							**lowerCamelCase__					,							):
									super().__init__(
									    features=_lowerCAmelCase					,							cache_dir=_lowerCAmelCase					,							keep_in_memory=_lowerCAmelCase					,							streaming=_lowerCAmelCase					,							num_proc=_lowerCAmelCase					,							**_lowerCAmelCase					,							)
									_lowerCamelCase   	=					Generator(
									    cache_dir=_lowerCAmelCase					,							features=_lowerCAmelCase					,							generator=_lowerCAmelCase					,							gen_kwargs=_lowerCAmelCase					,							**_lowerCAmelCase					,							)





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

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






from __future__ import annotations

from collections.abc import Iterator





class 			lowerCamelCase_				:


 '''simple docstring'''







 def __init__(				self    :						Union[str, Any]							,							_lowerCAmelCase    :						int		):
       SCREAMING_SNAKE_CASE_      		=     value
       SCREAMING_SNAKE_CASE_      		=     None
       SCREAMING_SNAKE_CASE_      		=     None





class 			lowerCamelCase_				:


 '''simple docstring'''







 def __init__(				self    :						int							,							_lowerCAmelCase    :						Node		):
       SCREAMING_SNAKE_CASE_      		=     tree



 def  lowerCAmelCase_    (				self    :						Union[str, Any]							,							_lowerCAmelCase    :						Node | None		):
       if node is None:
             return 0
       return node.value + (
           self.depth_first_search(node.left		) + self.depth_first_search(node.right		)
       )




 def __iter__(				self    :						Dict		):
       yield self.depth_first_search(self.tree		)


if __name__ == "__main__":
   import doctest

   doctest.testmod()