



'''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


lowercase_	 =						"scheduler_config.json"






class __A    (						A		):



	'''simple docstring'''







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






@dataclass
class __A    (						A		):



	'''simple docstring'''







	__lowerCamelCase					: torch.FloatTensor






class __A    :



	'''simple docstring'''







	__lowerCamelCase					: Dict    = SCHEDULER_CONFIG_NAME
	__lowerCamelCase					: str    = []
	__lowerCamelCase					: Any    = True



	@classmethod
	def       a__						(cls				,     A = None				,     A = None				,     A=False				,     **A				,     )					->  List[Any]:


						"""simple docstring"""



						_a						,					_a						,					_a											=						cls.load_config(
						    pretrained_model_name_or_path=A				,     subfolder=A				,     return_unused_kwargs=A				,     return_commit_hash=A				,     **A				,     )
						return cls.from_config(A				,     return_unused_kwargs=A				,     **A )



	def       a__						(self				,     A				,     A = False				,     **A )					->  Union[str, Any]:


						"""simple docstring"""



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



	@property
	def       a__						(self )					->  Dict:


						"""simple docstring"""



						return self._get_compatibles()



	@classmethod
	def       a__						(cls )					->  Tuple:


						"""simple docstring"""



						_a											=						list(set([cls.__name__] + cls._compatibles ) )
						_a											=						importlib.import_module(__name__.split('''.''' )[0] )
						_a											=						[
						    getattr(A				,     A ) for c in compatible_classes_str if hasattr(A				,     A )
						]
						return compatible_classes








'''simple docstring'''





def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						set()
     # To detect a back edge, keep track of vertices currently in the recursion stack
     _a											=						set()
     return any(
         node not in visited and depth_first_search(__A						,			__A						,			__A						,			__A)
         for node in graph)




def lowerCAmelCase						(__A						,			__A						,			__A						,			__A):



     """simple docstring"""



     visited.add(__A)
     rec_stk.add(__A)

     for node in graph[vertex]:
          if node not in visited:
               if depth_first_search(__A						,			__A						,			__A						,			__A):
                    return True
          elif node in rec_stk:
               return True

    # The node needs to be removed from recursion stack before function ends
     rec_stk.remove(__A)
     return False


if __name__ == "__main__":
  from doctest import testmod

  testmod()



