'''simple docstring'''


import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


snake_case__					:      str				      =  '''scheduler_config.json'''






class 					__SCREAMING_SNAKE_CASE						(	lowerCamelCase_	):







  '''simple docstring'''






  lowerCamelCase_		:Union[str, Any]						   =		1
  lowerCamelCase_		:int						   =		2
  lowerCamelCase_		:Union[str, Any]						   =		3
  lowerCamelCase_		:List[Any]						   =		4
  lowerCamelCase_		:str						   =		5
  lowerCamelCase_		:int						   =		6
  lowerCamelCase_		:Dict						   =		7
  lowerCamelCase_		:Any						   =		8
  lowerCamelCase_		:Tuple						   =		9
  lowerCamelCase_		:Dict						   =		10
  lowerCamelCase_		:Optional[Any]						   =		11
  lowerCamelCase_		:Union[str, Any]						   =		12
  lowerCamelCase_		:Optional[Any]						   =		13
  lowerCamelCase_		:Dict						   =		14







@dataclass
class 					__SCREAMING_SNAKE_CASE						(	lowerCamelCase_	):







  '''simple docstring'''






  lowerCamelCase_		:torch.FloatTensor







class 					__SCREAMING_SNAKE_CASE						:







  '''simple docstring'''






  lowerCamelCase_		:Optional[Any]						   =		SCHEDULER_CONFIG_NAME
  lowerCamelCase_		:Union[str, Any]						   =		[]
  lowerCamelCase_		:Optional[Any]						   =		True


  @classmethod
  def _UpperCamelCase					(			cls				,		snake_case_ = None				,		snake_case_ = None				,		snake_case_=False				,		**snake_case_				,		):




       '''simple docstring'''

       UpperCAmelCase_							:       Optional[Any]       =				cls.load_config(
           pretrained_model_name_or_path=snake_case_				,		subfolder=snake_case_				,		return_unused_kwargs=snake_case_				,		return_commit_hash=snake_case_				,		**snake_case_				,		)
       return cls.from_config(snake_case_				,		return_unused_kwargs=snake_case_				,		**snake_case_						)


  def _UpperCamelCase					(			self				,		snake_case_				,		snake_case_ = False				,		**snake_case_						):




       '''simple docstring'''

       self.save_config(save_directory=snake_case_				,		push_to_hub=snake_case_				,		**snake_case_						)


  @property
  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       return self._get_compatibles()






  @classmethod
  def _UpperCamelCase					(			cls						):




       '''simple docstring'''

       UpperCAmelCase_							:       str       =				list(set([cls.__name__] + cls._compatibles						)						)
       UpperCAmelCase_							:       List[str]       =				importlib.import_module(__name__.split('.'						)[0]						)
       UpperCAmelCase_							:       Union[str, Any]       =				[
           getattr(snake_case_				,		snake_case_						) for c in compatible_classes_str if hasattr(snake_case_				,		snake_case_						)
       ]
       return compatible_classes







'''simple docstring'''


from __future__ import annotations

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






@dataclass
class 					__SCREAMING_SNAKE_CASE						:







  '''simple docstring'''






  lowerCamelCase_		:int
  lowerCamelCase_		:int







class 					__SCREAMING_SNAKE_CASE						:







  '''simple docstring'''






  def __init__(			self				,		snake_case_						):




       '''simple docstring'''

       UpperCAmelCase_							:       list[list[Edge]]       =				[[] for _ in range(snake_case_						)]
       UpperCAmelCase_							:       Any       =				size


  def __getitem__(			self				,		snake_case_						):




       '''simple docstring'''

       return iter(self._graph[vertex]						)


  @property
  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       return self._size


  def _UpperCamelCase					(			self				,		snake_case_				,		snake_case_				,		snake_case_						):




       '''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(snake_case_				,		snake_case_						)						)






  def _UpperCamelCase					(			self				,		snake_case_				,		snake_case_						):




       '''simple docstring'''

       UpperCAmelCase_							:       Optional[int]       =				deque([start_vertex]						)
       UpperCAmelCase_							:       list[int | None]       =				[None] * self.size
       UpperCAmelCase_							:       str       =				0

       while queue:
            UpperCAmelCase_							:       Optional[int]       =				queue.popleft()
            UpperCAmelCase_							:       List[str]       =				distances[current_vertex]
            if current_distance is None:
                 continue

            for edge in self[current_vertex]:
                 UpperCAmelCase_							:       Union[str, Any]       =				current_distance + edge.weight
                 UpperCAmelCase_							:       Union[str, Any]       =				distances[edge.destination_vertex]
                 if (
                     isinstance(snake_case_				,		snake_case_						)
                     and new_distance >= dest_vertex_distance
                 ):
                      continue
                 UpperCAmelCase_							:       Optional[Any]       =				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()






