



from typing import Callable, Optional

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





class    lowerCamelCase__  (						UpperCAmelCase_):
     """simple docstring"""



     def __init__(self				,			__a				,			__a = None				,			__a = None				,			__a = False				,			__a = False				,			__a = None				,			__a = None				,			**__a				,			):






           '''simple docstring'''



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







     def 						_a      (self    ):






           '''simple docstring'''



           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=__a				,			download_mode=__a				,			verification_mode=__a				,			base_path=__a				,			num_proc=self.num_proc				,			)
                 lowerCamelCase								=		self.builder.as_dataset(
                     split="train"				,			verification_mode=__a				,			in_memory=self.keep_in_memory    )
           return dataset




from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass





@dataclass
class    lowerCamelCase__  :
     """simple docstring"""



     _A       =			42
     _A       =			42





class    lowerCamelCase__  :
     """simple docstring"""



     def __init__(self				,			__a    ):






           '''simple docstring'''



           lowerCamelCase								=		[[] for _ in range(__a    )]
           lowerCamelCase								=		size







     def __getitem__(self				,			__a    ):






           '''simple docstring'''



           return iter(self._graph[vertex]    )







     @property
     def 						_a      (self    ):






           '''simple docstring'''



           return self._size







     def 						_a      (self				,			__a				,			__a				,			__a    ):






           '''simple docstring'''



           if weight not in (0, 1):
                 raise ValueError("Edge weight must be either 0 or 1."    )

           if to_vertex < 0 or to_vertex >= self.size:
                 raise ValueError("Vertex indexes must be in [0; size)."    )

           self._graph[from_vertex].append(Edge(__a				,			__a    )    )







     def 						_a      (self				,			__a				,			__a    ):






           '''simple docstring'''



           lowerCamelCase								=		deque([start_vertex]    )
           lowerCamelCase								=		[None] * self.size
           lowerCamelCase								=		0

           while queue:
                 lowerCamelCase								=		queue.popleft()
                 lowerCamelCase								=		distances[current_vertex]
                 if current_distance is None:
                       continue

                 for edge in self[current_vertex]:
                       lowerCamelCase								=		current_distance + edge.weight
                       lowerCamelCase								=		distances[edge.destination_vertex]
                       if (
                           isinstance(__a				,			__a    )
                           and new_distance >= dest_vertex_distance
                       ):
                             continue
                       lowerCamelCase								=		new_distance
                       if edge.weight == 0:
                             queue.appendleft(edge.destination_vertex    )
                       else:
                             queue.append(edge.destination_vertex    )

           if distances[finish_vertex] is None:
                 raise ValueError("No path from start_vertex to finish_vertex."    )

           return distances[finish_vertex]


if __name__ == "__main__":
     import doctest

     doctest.testmod()