


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_ (	__UpperCamelCase   ):




      '''simple docstring'''


      __snake_case 	=       1
      __snake_case 	=       2
      __snake_case 	=       3
      __snake_case 	=       4
      __snake_case 	=       5
      __snake_case 	=       6
      __snake_case 	=       7
      __snake_case 	=       8
      __snake_case 	=       9
      __snake_case 	=       10
      __snake_case 	=       11
      __snake_case 	=       12
      __snake_case 	=       13
      __snake_case 	=       14



@dataclass
class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      __snake_case 	=       42



class 	A_ :




      '''simple docstring'''


      __snake_case 	=       SCHEDULER_CONFIG_NAME
      __snake_case 	=       []
      __snake_case 	=       True




      @classmethod
      def 					_snake_case     (    cls:	int						,				a:	Optional[int] = None						,				a:	List[Any] = None						,				a:	Union[str, Any]=False						,				**a:	Any						,				) ->    Dict:
       __lowerCamelCase ,					__lowerCamelCase ,					__lowerCamelCase		:							str		 =						cls.load_config(
           pretrained_model_name_or_path=__lowerCAmelCase						,				subfolder=__lowerCAmelCase						,				return_unused_kwargs=__lowerCAmelCase						,				return_commit_hash=__lowerCAmelCase						,				**__lowerCAmelCase						,				)
       return cls.from_config(__lowerCAmelCase						,				return_unused_kwargs=__lowerCAmelCase						,				**__lowerCAmelCase    )




      def 					_snake_case     (    self:	Optional[Any]						,				a:	List[str]						,				a:	Optional[int] = False						,				**a:	str    ) ->    Tuple:
       self.save_config(save_directory=__lowerCAmelCase						,				push_to_hub=__lowerCAmelCase						,				**__lowerCAmelCase    )




      @property
      def 					_snake_case     (    self:	Optional[Any]    ) ->    List[str]:
       return self._get_compatibles()




      @classmethod
      def 					_snake_case     (    cls:	Optional[Any]    ) ->    Dict:
       __lowerCamelCase		:							Optional[int]		 =						list(set([cls.__name__] + cls._compatibles    )    )
       __lowerCamelCase		:							Optional[Any]		 =						importlib.import_module(__name__.split('.'    )[0]    )
       __lowerCamelCase		:							str		 =						[
           getattr(__lowerCAmelCase						,				__lowerCAmelCase    ) for c in compatible_classes_str if hasattr(__lowerCAmelCase						,				__lowerCAmelCase    )
       ]
       return compatible_classes





import warnings

from .generation import TFGenerationMixin


class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      warnings.warn(
          """Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will """
          """be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead.""" ,				__UpperCamelCase ,				)

