





from __future__ import annotations

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



@dataclass
class 				_UpperCAmelCase    :

  """simple docstring"""


  a_        = 42
  a_        = 42





class 				_UpperCAmelCase    :

  """simple docstring"""


  def __init__(				self :		List[Any]					,  lowerCAmelCase_ :		int     )							->						Dict:
     __lowerCAmelCase								=	[[] for _ in range(lowerCAmelCase_     )]
     __lowerCAmelCase								=	size






  def __getitem__(				self :		Any					,  lowerCAmelCase_ :		int     )							->						Iterator[Edge]:
     return iter(self._graph[vertex]     )






  @property
  def 				lowercase		(				self :		int     )							->						str:
     return self._size






  def 				lowercase		(				self :		Optional[Any]					,  lowerCAmelCase_ :		int					,  lowerCAmelCase_ :		int					,  lowerCAmelCase_ :		int     )							->						int:
     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(lowerCAmelCase_					,  lowerCAmelCase_     )     )






  def 				lowercase		(				self :		List[Any]					,  lowerCAmelCase_ :		int					,  lowerCAmelCase_ :		int     )							->						int | None:
     __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(lowerCAmelCase_					,  lowerCAmelCase_     )
               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()








import pytest

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs

@pytest.mark.parametrize(
    'kwargs, expected',	[
        ({'num_shards': 0, 'max_num_jobs': 1}, []),
        ({'num_shards': 10, 'max_num_jobs': 1}, [range(10	)]),
        ({'num_shards': 10, 'max_num_jobs': 10}, [range(lowerCAmelCase_,	i + 1	) for i in range(10	)]),
        ({'num_shards': 1, 'max_num_jobs': 10}, [range(1	)]),
        ({'num_shards': 10, 'max_num_jobs': 3}, [range(0,	4	), range(4,	7	), range(7,	10	)]),
        ({'num_shards': 3, 'max_num_jobs': 10}, [range(0,	1	), range(1,	2	), range(2,	3	)]),
    ],	)
def   a_    ( lowerCAmelCase_      :			Optional[Any],	lowerCAmelCase_      :			Any	):
   __lowerCAmelCase								=	_distribute_shards(**lowerCAmelCase_	)
   assert out == expected

@pytest.mark.parametrize(
    'gen_kwargs, max_num_jobs, expected',	[
        ({'foo': 0}, 10, [{'foo': 0}]),
        ({'shards': [0, 1, 2, 3]}, 1, [{'shards': [0, 1, 2, 3]}]),
        ({'shards': [0, 1, 2, 3]}, 4, [{'shards': [0]}, {'shards': [1]}, {'shards': [2]}, {'shards': [3]}]),
        ({'shards': [0, 1]}, 4, [{'shards': [0]}, {'shards': [1]}]),
        ({'shards': [0, 1, 2, 3]}, 2, [{'shards': [0, 1]}, {'shards': [2, 3]}]),
    ],	)
def   a_    ( lowerCAmelCase_      :			Optional[Any],	lowerCAmelCase_      :			List[str],	lowerCAmelCase_      :			Optional[int]	):
   __lowerCAmelCase								=	_split_gen_kwargs(lowerCAmelCase_,	lowerCAmelCase_	)
   assert out == expected




@pytest.mark.parametrize(
    'gen_kwargs, expected',	[
        ({'foo': 0}, 1),
        ({'shards': [0]}, 1),
        ({'shards': [0, 1, 2, 3]}, 4),
        ({'shards': [0, 1, 2, 3], 'foo': 0}, 4),
        ({'shards': [0, 1, 2, 3], 'other': (0, 1)}, 4),
        ({'shards': [0, 1, 2, 3], 'shards2': [0, 1]}, RuntimeError),
    ],	)
def   a_    ( lowerCAmelCase_      :			int,	lowerCAmelCase_      :			Any	):
   if expected is RuntimeError:
      with pytest.raises(lowerCAmelCase_	):
         _number_of_shards_in_gen_kwargs(lowerCAmelCase_	)
   else:
      __lowerCAmelCase								=	_number_of_shards_in_gen_kwargs(lowerCAmelCase_	)
      assert out == expected

