
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

A		: str								=     TypeVar('''T''')



class    a_ (			Generic[T]    ):






			def __init__(      self				,			__UpperCamelCase = True  ):
									_lowercase					       =					{}  # dictionary of lists
									_lowercase					       =					directed






			def    UpperCamelCase_				(      self				,			__UpperCamelCase				,			__UpperCamelCase  ):

									if not self.directed:  # For undirected graphs
															# if both source vertex and destination vertex are both present in the
															# adjacency list, add destination vertex to source vertex list of adjacent
															# vertices and add source vertex to destination vertex list of adjacent
															# vertices.
															if source_vertex in self.adj_list and destination_vertex in self.adj_list:
																					self.adj_list[source_vertex].append(__snake_case  )
																					self.adj_list[destination_vertex].append(__snake_case  )
															# if only source vertex is present in adjacency list, add destination vertex
															# to source vertex list of adjacent vertices, then create a new vertex with
															# destination vertex as key and assign a list containing the source vertex
															# as it's first adjacent vertex.
															elif source_vertex in self.adj_list:
																					self.adj_list[source_vertex].append(__snake_case  )
																					_lowercase					       =					[source_vertex]
															# if only destination vertex is present in adjacency list, add source vertex
															# to destination vertex list of adjacent vertices, then create a new vertex
															# with source vertex as key and assign a list containing the source vertex
															# as it's first adjacent vertex.
															elif destination_vertex in self.adj_list:
																					self.adj_list[destination_vertex].append(__snake_case  )
																					_lowercase					       =					[destination_vertex]
															# if both source vertex and destination vertex are not present in adjacency
															# list, create a new vertex with source vertex as key and assign a list
															# containing the destination vertex as it's first adjacent vertex also
															# create a new vertex with destination vertex as key and assign a list
															# containing the source vertex as it's first adjacent vertex.
															else:
																					_lowercase					       =					[destination_vertex]
																					_lowercase					       =					[source_vertex]
									else:  # For directed graphs
															# if both source vertex and destination vertex are present in adjacency
															# list, add destination vertex to source vertex list of adjacent vertices.
															if source_vertex in self.adj_list and destination_vertex in self.adj_list:
																					self.adj_list[source_vertex].append(__snake_case  )
															# if only source vertex is present in adjacency list, add destination
															# vertex to source vertex list of adjacent vertices and create a new vertex
															# with destination vertex as key, which has no adjacent vertex
															elif source_vertex in self.adj_list:
																					self.adj_list[source_vertex].append(__snake_case  )
																					_lowercase					       =					[]
															# if only destination vertex is present in adjacency list, create a new
															# vertex with source vertex as key and assign a list containing destination
															# vertex as first adjacent vertex
															elif destination_vertex in self.adj_list:
																					_lowercase					       =					[destination_vertex]
															# if both source vertex and destination vertex are not present in adjacency
															# list, create a new vertex with source vertex as key and a list containing
															# destination vertex as it's first adjacent vertex. Then create a new vertex
															# with destination vertex as key, which has no adjacent vertex
															else:
																					_lowercase					       =					[destination_vertex]
																					_lowercase					       =					[]

									return self






			def __repr__(      self  ):
									return pformat(self.adj_list  )






'''simple docstring'''






from typing import Callable, Optional

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




class 					UpperCAmelCase	(     snake_case_  ):




      def __init__(     self     :					Union[str, Any]     ,     __snake_case     :					Callable     ,     __snake_case     :					Optional[Features] = None     ,     __snake_case     :					str = None     ,     __snake_case     :					bool = False     ,     __snake_case     :					bool = False     ,     __snake_case     :					Optional[dict] = None     ,     __snake_case     :					Optional[int] = None     ,     **__snake_case     :					Optional[Any]     ,     )							-> Union[str, Any]:
            super().__init__(
                features=__snake_case     ,     cache_dir=__snake_case     ,     keep_in_memory=__snake_case     ,     streaming=__snake_case     ,     num_proc=__snake_case     ,     **__snake_case     ,     )
            _lowerCAmelCase					=				Generator(
                cache_dir=__snake_case     ,     features=__snake_case     ,     generator=__snake_case     ,     gen_kwargs=__snake_case     ,     **__snake_case     ,     )




      def 							lowercase__       (     self     :					str    )							-> Dict:
            # 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=__snake_case     ,     download_mode=__snake_case     ,     verification_mode=__snake_case     ,     base_path=__snake_case     ,     num_proc=self.num_proc     ,     )
                  _lowerCAmelCase					=				self.builder.as_dataset(
                      split="""train"""     ,     verification_mode=__snake_case     ,     in_memory=self.keep_in_memory    )
            return dataset






