



'''simple docstring'''





import os
import warnings
from pathlib import Path
from typing import Optional, Union

from .dynamic_module_utils import custom_object_save
from .tokenization_utils_base import PreTrainedTokenizerBase
from .utils import PushToHubMixin, copy_func, direct_transformers_import, logging


_lowercase	:   int    	=logging.get_logger(__name__)

# Dynamically import the Transformers module to grab the attribute classes of the processor form their names.
_lowercase	:   int    	=direct_transformers_import(Path(__file__).parent)


_lowercase	:   Dict    	={
    "AutoTokenizer": "PreTrainedTokenizerBase",
    "AutoFeatureExtractor": "FeatureExtractionMixin",
    "AutoImageProcessor": "ImageProcessingMixin",
}

class      snake_case__       (A__	):







						"""simple docstring"""




						__lowerCAmelCase  :Any			      =  ["feature_extractor", "tokenizer"]
						# Names need to be attr_class for attr in attributes
						__lowerCAmelCase  :str			      =  None
						__lowerCAmelCase  :List[Any]			      =  None
						__lowerCAmelCase  :Optional[int]			      =  None

						def __init__(     self      ,     *__lowercase      ,     **__lowercase						)      ->   Tuple:
									"""simple docstring"""




									for key in kwargs:
												if key not in self.attributes:
															raise TypeError(F'''Unexpected keyword argument {key}.'''						)
									for arg, attribute_name in zip(__lowercase      ,     self.attributes						):
												if attribute_name in kwargs:
															raise TypeError(F'''Got multiple values for argument {attribute_name}.'''						)
												else:
															a__     :		Optional[int]		 =						arg

									if len(__lowercase						) != len(self.attributes						):
												raise ValueError(
												    F'''This processor requires {len(self.attributes						)} arguments: {', '.join(self.attributes						)}. Got '''
												    F'''{len(__lowercase						)} arguments instead.'''						)

									# Check each arg is of the proper class (this will also catch a user initializing in the wrong order)
									for attribute_name, arg in kwargs.items():
												a__     :		Tuple		 =						getattr(self      ,     F'''{attribute_name}_class'''						)
												# Nothing is ever going to be an instance of "AutoXxx", in that case we check the base class.
												a__     :		str		 =						AUTO_TO_BASE_CLASS_MAPPING.get(__lowercase      ,     __lowercase						)
												if isinstance(__lowercase      ,     __lowercase						):
															a__     :		Optional[Any]		 =						tuple(getattr(__lowercase      ,     __lowercase						) for n in class_name if n is not None						)
												else:
															a__     :		Dict		 =						getattr(__lowercase      ,     __lowercase						)

												if not isinstance(__lowercase      ,     __lowercase						):
															raise ValueError(
															    F'''Received a {type(__lowercase						).__name__} for argument {attribute_name}, but a {class_name} was expected.'''						)

												setattr(self      ,     __lowercase      ,     __lowercase						)

						def __repr__(     self						)      ->   int:
									"""simple docstring"""




									a__     :		str		 =						[F'''- {name}: {repr(getattr(self      ,     __lowercase						)						)}''' for name in self.attributes]
									a__     :		Optional[int]		 =						"""\n""".join(__lowercase						)
									return F'''{self.__class__.__name__}:\n{attributes_repr}'''

						def 							SCREAMING_SNAKE_CASE__(     self      ,     __lowercase      ,     __lowercase = False      ,     **__lowercase						)      ->   List[str]:
									"""simple docstring"""




									os.makedirs(__lowercase      ,     exist_ok=__lowercase						)

									if push_to_hub:
												a__     :		int		 =						kwargs.pop("""commit_message"""      ,     __lowercase						)
												a__     :		Optional[int]		 =						kwargs.pop("""repo_id"""      ,     save_directory.split(os.path.sep						)[-1]						)
												a__     :		Dict		 =						self._create_repo(__lowercase      ,     **__lowercase						)
												a__     :		Optional[int]		 =						self._get_files_timestamps(__lowercase						)
									# If we have a custom config, we copy the file defining it in the folder and set the attributes so it can be
									# loaded from the Hub.
									if self._auto_class is not None:
												a__     :		Tuple		 =						[getattr(self      ,     __lowercase						) for attribute_name in self.attributes]
												a__     :		List[Any]		 =						[(a.init_kwargs if isinstance(__lowercase      ,     __lowercase						) else a) for a in attrs]
												custom_object_save(self      ,     __lowercase      ,     config=__lowercase						)

									for attribute_name in self.attributes:
												a__     :		List[str]		 =						getattr(self      ,     __lowercase						)
												# Include the processor class in the attribute config so this processor can then be reloaded with the
												# `AutoProcessor` API.
												if hasattr(__lowercase      ,     """_set_processor_class"""						):
															attribute._set_processor_class(self.__class__.__name__						)
												attribute.save_pretrained(__lowercase						)

									if self._auto_class is not None:
												# We added an attribute to the init_kwargs of the tokenizers, which needs to be cleaned up.
												for attribute_name in self.attributes:
															a__     :		Optional[Any]		 =						getattr(self      ,     __lowercase						)
															if isinstance(__lowercase      ,     __lowercase						):
																		del attribute.init_kwargs["auto_map"]

									if push_to_hub:
												self._upload_modified_files(
												    __lowercase      ,     __lowercase      ,     __lowercase      ,     commit_message=__lowercase      ,     token=kwargs.get("""use_auth_token"""						)      ,     )

						@classmethod
						def 							SCREAMING_SNAKE_CASE__(     cls      ,     __lowercase      ,     __lowercase = None      ,     __lowercase = False      ,     __lowercase = False      ,     __lowercase = None      ,     __lowercase = "main"      ,     **__lowercase      ,     )      ->   int:
									"""simple docstring"""




									a__     :		Union[str, Any]		 =						cache_dir
									a__     :		int		 =						force_download
									a__     :		int		 =						local_files_only
									a__     :		Optional[Any]		 =						revision

									a__     :		List[str]		 =						kwargs.pop("""use_auth_token"""      ,     __lowercase						)
									if use_auth_token is not None:
												warnings.warn(
												    """The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers."""      ,     __lowercase						)
												if token is not None:
															raise ValueError(
															    """`token` and `use_auth_token` are both specified. Please set only the argument `token`."""						)
												a__     :		str		 =						use_auth_token

									if token is not None:
												# change to `token` in a follow-up PR
												a__     :		Optional[int]		 =						token

									a__     :		Tuple		 =						cls._get_arguments_from_pretrained(__lowercase      ,     **__lowercase						)
									return cls(*__lowercase						)

						@classmethod
						def 							SCREAMING_SNAKE_CASE__(     cls      ,     __lowercase="AutoProcessor"						)      ->   Optional[int]:
									"""simple docstring"""




									if not isinstance(__lowercase      ,     __lowercase						):
												a__     :		Optional[Any]		 =						auto_class.__name__

									import transformers.models.auto as auto_module

									if not hasattr(__lowercase      ,     __lowercase						):
												raise ValueError(F'''{auto_class} is not a valid auto class.'''						)

									a__     :		str		 =						auto_class

						@classmethod
						def 							SCREAMING_SNAKE_CASE__(     cls      ,     __lowercase      ,     **__lowercase						)      ->   Optional[int]:
									"""simple docstring"""




									a__     :		List[str]		 =						[]
									for attribute_name in cls.attributes:
												a__     :		Dict		 =						getattr(cls      ,     F'''{attribute_name}_class'''						)
												if isinstance(__lowercase      ,     __lowercase						):
															a__     :		Optional[Any]		 =						tuple(getattr(__lowercase      ,     __lowercase						) if n is not None else None for n in class_name						)
															a__     :		Optional[int]		 =						kwargs.get("""use_fast"""      ,     __lowercase						)
															if use_fast and classes[1] is not None:
																		a__     :		Tuple		 =						classes[1]
															else:
																		a__     :		List[str]		 =						classes[0]
												else:
															a__     :		Dict		 =						getattr(__lowercase      ,     __lowercase						)

												args.append(attribute_class.from_pretrained(__lowercase      ,     **__lowercase						)						)
									return args

						@property
						def 							SCREAMING_SNAKE_CASE__(     self						)      ->   Optional[int]:
									"""simple docstring"""




									a__     :		str		 =						getattr(self      ,     self.attributes[0]						)
									return getattr(__lowercase      ,     """model_input_names"""      ,     __lowercase						)




_lowercase	:   Dict    	=copy_func(ProcessorMixin.push_to_hub)
if ProcessorMixin.push_to_hub.__doc__ is not None:
		_lowercase	:   Union[str, Any]    	=ProcessorMixin.push_to_hub.__doc__.format(
		    object="processor", object_class="AutoProcessor", object_files="processor files"
		)









from __future__ import annotations

def 			lowerCAmelCase_  (						_lowercase       :     list[int]		,     _lowercase       :     int)							-> list[int]:







			"""simple docstring"""
			a__     :		dict[int, int]		 =						{}
			for index, val in enumerate(_lowercase):
						a__     :		str		 =						target - val
						if compl in chk_map:
									return [chk_map[compl], index]
						a__     :		str		 =						index
			return []


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		print(f'{two_sum([2, 7, 11, 15], 9) = }')




