


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				:       List[Any]      =  'scheduler_config.json'






class      UpperCamelCase(	_a ):
					snake_case_		:					Any    					=						1
					snake_case_		:					Tuple    					=						2
					snake_case_		:					Any    					=						3
					snake_case_		:					List[Any]    					=						4
					snake_case_		:					int    					=						5
					snake_case_		:					List[Any]    					=						6
					snake_case_		:					Dict    					=						7
					snake_case_		:					Union[str, Any]    					=						8
					snake_case_		:					int    					=						9
					snake_case_		:					List[Any]    					=						10
					snake_case_		:					int    					=						11
					snake_case_		:					Any    					=						12
					snake_case_		:					List[Any]    					=						13
					snake_case_		:					Tuple    					=						14






@dataclass
class      UpperCamelCase(	_a ):
					snake_case_		:					torch.FloatTensor






class      UpperCamelCase:
					snake_case_		:					Optional[Any]    					=						SCHEDULER_CONFIG_NAME
					snake_case_		:					List[Any]    					=						[]
					snake_case_		:					Dict    					=						True


					@classmethod
					def 				SCREAMING_SNAKE_CASE_	(    cls						:		Any  ,     SCREAMING_SNAKE_CASE						:		Dict[str, Any] = None  ,     SCREAMING_SNAKE_CASE						:		Optional[str] = None  ,     SCREAMING_SNAKE_CASE						:		Union[str, Any]=False  ,     **SCREAMING_SNAKE_CASE						:		Any  ,     )      ->						List[str]:




											'''simple docstring'''

											__snake_case		,       __snake_case		,       __snake_case				=		cls.load_config(
											    pretrained_model_name_or_path=SCREAMING_SNAKE_CASE  ,     subfolder=SCREAMING_SNAKE_CASE  ,     return_unused_kwargs=SCREAMING_SNAKE_CASE  ,     return_commit_hash=SCREAMING_SNAKE_CASE  ,     **SCREAMING_SNAKE_CASE  ,     )
											return cls.from_config(SCREAMING_SNAKE_CASE  ,     return_unused_kwargs=SCREAMING_SNAKE_CASE  ,     **SCREAMING_SNAKE_CASE    )


					def 				SCREAMING_SNAKE_CASE_	(    self						:		str  ,     SCREAMING_SNAKE_CASE						:		Union[str, os.PathLike]  ,     SCREAMING_SNAKE_CASE						:		bool = False  ,     **SCREAMING_SNAKE_CASE						:		List[Any]    )      ->						Union[str, Any]:




											'''simple docstring'''

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


					@property
					def 				SCREAMING_SNAKE_CASE_	(    self						:		Tuple    )      ->						Optional[Any]:




											'''simple docstring'''

											return self._get_compatibles()






					@classmethod
					def 				SCREAMING_SNAKE_CASE_	(    cls						:		Dict    )      ->						Any:




											'''simple docstring'''

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









# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


A				:       Union[str, Any]      =  logging.get_logger(__name__)

A				:       Dict[Optional[str], Type[Formatter]]      =  {}
A				:       Dict[Optional[str], str]      =  {}
A				:       Dict[Optional[str], Exception]      =  {}





def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase = None   ,						)    ->						str:


						'''simple docstring'''






						__snake_case				=		aliases if aliases is not None else []
						if format_type in _FORMAT_TYPES:
												logger.warning(
												    F'''Overwriting format type \'{format_type}\' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})'''			)
						__snake_case				=		formatter_cls
						for alias in set(aliases + [format_type]			):
												if alias in _FORMAT_TYPES_ALIASES:
																		logger.warning(
																		    F'''Overwriting format type alias \'{alias}\' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})'''			)
												__snake_case				=		format_type





def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase = None			)    ->						List[Any]:


						'''simple docstring'''






						__snake_case				=		aliases if aliases is not None else []
						for alias in set(aliases + [format_type]			):
												__snake_case				=		unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=['python'])
_register_formatter(ArrowFormatter, 'arrow', aliases=['pa', 'pyarrow'])
_register_formatter(NumpyFormatter, 'numpy', aliases=['np'])
_register_formatter(PandasFormatter, 'pandas', aliases=['pd'])
_register_formatter(CustomFormatter, 'custom')

if config.TORCH_AVAILABLE:
	from .torch_formatter import TorchFormatter

	_register_formatter(TorchFormatter, 'torch', aliases=['pt', 'pytorch'])
else:
	A				:       Any      =  ValueError('PyTorch needs to be installed to be able to return PyTorch tensors.')
	_register_unavailable_formatter(_torch_error, 'torch', aliases=['pt', 'pytorch'])

if config.TF_AVAILABLE:
	from .tf_formatter import TFFormatter

	_register_formatter(TFFormatter, 'tensorflow', aliases=['tf'])
else:
	A				:       Tuple      =  ValueError('Tensorflow needs to be installed to be able to return Tensorflow tensors.')
	_register_unavailable_formatter(_tf_error, 'tensorflow', aliases=['tf'])

if config.JAX_AVAILABLE:
	from .jax_formatter import JaxFormatter

	_register_formatter(JaxFormatter, 'jax', aliases=[])
else:
	A				:       Optional[int]      =  ValueError('JAX needs to be installed to be able to return JAX arrays.')
	_register_unavailable_formatter(_jax_error, 'jax', aliases=[])





def 						_lowerCAmelCase							(     _lowerCAmelCase			)    ->						Optional[str]:


						'''simple docstring'''






						if format_type in _FORMAT_TYPES_ALIASES:
												return _FORMAT_TYPES_ALIASES[format_type]
						else:
												return format_type





def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						**_lowerCAmelCase			)    ->						Formatter:


						'''simple docstring'''






						__snake_case				=		get_format_type_from_alias(_lowerCAmelCase			)
						if format_type in _FORMAT_TYPES:
												return _FORMAT_TYPES[format_type](**_lowerCAmelCase			)
						if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
												raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
						else:
												raise ValueError(
												    F'''Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None			)}, but got \'{format_type}\''''			)





