






'''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


_A			:    Dict					  ='''scheduler_config.json'''

class _lowercase			(       _lowercase	):
							a          = 1
							a          = 2
							a          = 3
							a          = 4
							a          = 5
							a          = 6
							a          = 7
							a          = 8
							a          = 9
							a          = 10
							a          = 11
							a          = 12
							a          = 13
							a          = 14



@dataclass
class _lowercase			(       _lowercase	):
							a          = 42



class _lowercase			:
							a          = SCHEDULER_CONFIG_NAME
							a          = []
							a          = True




							@classmethod
							def 	lowerCamelCase_       (							cls:       int    ,							UpperCamelCase__:       Dict[str, Any] = None    ,							UpperCamelCase__:       Optional[str] = None    ,							UpperCamelCase__:       Optional[Any]=False    ,							**UpperCamelCase__:       Union[str, Any]    ,							):
														lowerCamelCase__						,	lowerCamelCase__						,	lowerCamelCase__      :			Dict 						= cls.load_config(
														    pretrained_model_name_or_path=UpperCamelCase__    ,							subfolder=UpperCamelCase__    ,							return_unused_kwargs=UpperCamelCase__    ,							return_commit_hash=UpperCamelCase__    ,							**UpperCamelCase__    ,							)
														return cls.from_config(UpperCamelCase__    ,							return_unused_kwargs=UpperCamelCase__    ,							**UpperCamelCase__  )




							def 	lowerCamelCase_       (							self:       Any    ,							UpperCamelCase__:       Union[str, os.PathLike]    ,							UpperCamelCase__:       bool = False    ,							**UpperCamelCase__:       Optional[int]  ):
														self.save_config(save_directory=UpperCamelCase__    ,							push_to_hub=UpperCamelCase__    ,							**UpperCamelCase__  )




							@property
							def 	lowerCamelCase_       (							self:       str  ):
														return self._get_compatibles()




							@classmethod
							def 	lowerCamelCase_       (							cls:       str  ):
														lowerCamelCase__      :			Union[str, Any] 						= list(set([cls.__name__] + cls._compatibles  )  )
														lowerCamelCase__      :			Optional[int] 						= importlib.import_module(__name__.split("""."""  )[0]  )
														lowerCamelCase__      :			List[str] 						= [
														    getattr(UpperCamelCase__    ,							UpperCamelCase__  ) for c in compatible_classes_str if hasattr(UpperCamelCase__    ,							UpperCamelCase__  )
														]
														return compatible_classes









'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A			:    Dict					  ={
    '''configuration_git''': ['''GIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GitConfig''', '''GitVisionConfig'''],
    '''processing_git''': ['''GitProcessor'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A			:    Union[str, Any]					  =[
			    '''GIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''GitForCausalLM''',
			    '''GitModel''',
			    '''GitPreTrainedModel''',
			    '''GitVisionModel''',
			]

if TYPE_CHECKING:
			from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
			from .processing_git import GitProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_git import (
						    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    GitForCausalLM,
						    GitModel,
						    GitPreTrainedModel,
						    GitVisionModel,
						)

else:
			import sys

			_A			:    Dict					  =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

