
"""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


__a        = logging.get_logger(__name__)

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


__a        = {
    'AutoTokenizer': 'PreTrainedTokenizerBase',
    'AutoFeatureExtractor': 'FeatureExtractionMixin',
    'AutoImageProcessor': 'ImageProcessingMixin',
}
class 			lowercase__(    UpperCAmelCase							):



	"""simple docstring"""




	a      :int   					=     ['feature_extractor', 'tokenizer']
	# Names need to be attr_class for attr in attributes
	a      :int   					=     None
	a      :Optional[int]   					=     None
	a      :Dict   					=     None
	def __init__(	self  :      List[str]	,							*SCREAMING_SNAKE_CASE_  :      Tuple	,							**SCREAMING_SNAKE_CASE_  :      str	)	->					Optional[Any]:
					# Sanitize args and kwargs
					for key in kwargs:
									if key not in self.attributes:
													raise TypeError(f'''Unexpected keyword argument {key}.'''	)
					for arg, attribute_name in zip(SCREAMING_SNAKE_CASE_	,							self.attributes	):
									if attribute_name in kwargs:
													raise TypeError(f'''Got multiple values for argument {attribute_name}.'''	)
									else:
													lowercase_					  = arg

					if len(SCREAMING_SNAKE_CASE_	) != len(self.attributes	):
									raise ValueError(
									    f'''This processor requires {len(self.attributes	)} arguments: {', '.join(self.attributes	)}. Got '''
									    f'''{len(SCREAMING_SNAKE_CASE_	)} 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():
									lowercase_					  = getattr(self	,							f'''{attribute_name}_class'''	)
									# Nothing is ever going to be an instance of "AutoXxx", in that case we check the base class.
									lowercase_					  = AUTO_TO_BASE_CLASS_MAPPING.get(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	)
									if isinstance(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	):
													lowercase_					  = tuple(getattr(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	) for n in class_name if n is not None	)
									else:
													lowercase_					  = getattr(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	)

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

									setattr(self	,							SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	)
	def __repr__(	self  :      str	)	->					Optional[int]:
					lowercase_					  = [f'''- {name}: {repr(getattr(self	,							SCREAMING_SNAKE_CASE_	)	)}''' for name in self.attributes]
					lowercase_					  = '''\n'''.join(SCREAMING_SNAKE_CASE_	)
					return f'''{self.__class__.__name__}:\n{attributes_repr}'''
	def 						_lowercase  (	self  :      List[str]	,							SCREAMING_SNAKE_CASE_  :      Optional[int]	,							SCREAMING_SNAKE_CASE_  :      bool = False	,							**SCREAMING_SNAKE_CASE_  :      int	)	->					Any:
					os.makedirs(SCREAMING_SNAKE_CASE_	,							exist_ok=SCREAMING_SNAKE_CASE_	)

					if push_to_hub:
									lowercase_					  = kwargs.pop('''commit_message'''	,							SCREAMING_SNAKE_CASE_	)
									lowercase_					  = kwargs.pop('''repo_id'''	,							save_directory.split(os.path.sep	)[-1]	)
									lowercase_					  = self._create_repo(SCREAMING_SNAKE_CASE_	,							**SCREAMING_SNAKE_CASE_	)
									lowercase_					  = self._get_files_timestamps(SCREAMING_SNAKE_CASE_	)
					# 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:
									lowercase_					  = [getattr(self	,							SCREAMING_SNAKE_CASE_	) for attribute_name in self.attributes]
									lowercase_					  = [(a.init_kwargs if isinstance(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	) else a) for a in attrs]
									custom_object_save(self	,							SCREAMING_SNAKE_CASE_	,							config=SCREAMING_SNAKE_CASE_	)

					for attribute_name in self.attributes:
									lowercase_					  = getattr(self	,							SCREAMING_SNAKE_CASE_	)
									# Include the processor class in the attribute config so this processor can then be reloaded with the
									# `AutoProcessor` API.
									if hasattr(SCREAMING_SNAKE_CASE_	,							'''_set_processor_class'''	):
													attribute._set_processor_class(self.__class__.__name__	)
									attribute.save_pretrained(SCREAMING_SNAKE_CASE_	)

					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:
													lowercase_					  = getattr(self	,							SCREAMING_SNAKE_CASE_	)
													if isinstance(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	):
																	del attribute.init_kwargs["auto_map"]

					if push_to_hub:
									self._upload_modified_files(
									    SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	,							commit_message=SCREAMING_SNAKE_CASE_	,							token=kwargs.get('''use_auth_token'''	)	,							)
	@classmethod
	def 						_lowercase  (	cls  :      List[Any]	,							SCREAMING_SNAKE_CASE_  :      Union[str, os.PathLike]	,							SCREAMING_SNAKE_CASE_  :      Optional[Union[str, os.PathLike]] = None	,							SCREAMING_SNAKE_CASE_  :      bool = False	,							SCREAMING_SNAKE_CASE_  :      bool = False	,							SCREAMING_SNAKE_CASE_  :      Optional[Union[str, bool]] = None	,							SCREAMING_SNAKE_CASE_  :      str = "main"	,							**SCREAMING_SNAKE_CASE_  :      int	,							)	->					Dict:
					lowercase_					  = cache_dir
					lowercase_					  = force_download
					lowercase_					  = local_files_only
					lowercase_					  = revision

					lowercase_					  = kwargs.pop('''use_auth_token'''	,							SCREAMING_SNAKE_CASE_	)
					if use_auth_token is not None:
									warnings.warn(
									    '''The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers.'''	,							SCREAMING_SNAKE_CASE_	)
									if token is not None:
													raise ValueError(
													    '''`token` and `use_auth_token` are both specified. Please set only the argument `token`.'''	)
									lowercase_					  = use_auth_token

					if token is not None:
									# change to `token` in a follow-up PR
									lowercase_					  = token

					lowercase_					  = cls._get_arguments_from_pretrained(SCREAMING_SNAKE_CASE_	,							**SCREAMING_SNAKE_CASE_	)
					return cls(*SCREAMING_SNAKE_CASE_	)
	@classmethod
	def 						_lowercase  (	cls  :      str	,							SCREAMING_SNAKE_CASE_  :      List[str]="AutoProcessor"	)	->					List[Any]:
					if not isinstance(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	):
									lowercase_					  = auto_class.__name__

					import transformers.models.auto as auto_module

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

					lowercase_					  = auto_class
	@classmethod
	def 						_lowercase  (	cls  :      List[str]	,							SCREAMING_SNAKE_CASE_  :      List[str]	,							**SCREAMING_SNAKE_CASE_  :      Dict	)	->					str:
					lowercase_					  = []
					for attribute_name in cls.attributes:
									lowercase_					  = getattr(cls	,							f'''{attribute_name}_class'''	)
									if isinstance(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	):
													lowercase_					  = tuple(getattr(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	) if n is not None else None for n in class_name	)
													lowercase_					  = kwargs.get('''use_fast'''	,							SCREAMING_SNAKE_CASE_	)
													if use_fast and classes[1] is not None:
																	lowercase_					  = classes[1]
													else:
																	lowercase_					  = classes[0]
									else:
													lowercase_					  = getattr(SCREAMING_SNAKE_CASE_	,							SCREAMING_SNAKE_CASE_	)

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




	@property
	def 						_lowercase  (	self  :      List[str]	)	->					Tuple:
					lowercase_					  = getattr(self	,							self.attributes[0]	)
					return getattr(SCREAMING_SNAKE_CASE_	,							'''model_input_names'''	,							SCREAMING_SNAKE_CASE_	)

__a        = copy_func(ProcessorMixin.push_to_hub)
if ProcessorMixin.push_to_hub.__doc__ is not None:
						__a        = ProcessorMixin.push_to_hub.__doc__.format(
						    object='processor', object_class='AutoProcessor', object_files='processor files'
						)






class 			lowercase__:



	"""simple docstring"""




	def __init__(	self  :      str	)	->					None:
					lowercase_					  = [0, 1]




	def 						_lowercase  (	self  :      str	,							SCREAMING_SNAKE_CASE_  :      int	)	->					list:
					if (difference := index - (len(self.sequence	) - 2)) >= 1:
									for _ in range(SCREAMING_SNAKE_CASE_	):
													self.sequence.append(self.sequence[-1] + self.sequence[-2]	)
					return self.sequence[:index]




def     a						(							):


				'''simple docstring'''
				print(
				    '''Fibonacci Series Using Dynamic Programming\n'''						,       '''Enter the index of the Fibonacci number you want to calculate '''						,       '''in the prompt below. (To exit enter exit or Ctrl-C)\n'''						,       sep=''''''						,       )
				lowercase_					  = Fibonacci()

				while True:
								lowercase_					  = input('''>> ''' )
								if prompt in {"exit", "quit"}:
												break

								try:
												lowercase_					  = int(snake_case__ )
								except ValueError:
												print('''Enter a number or \'exit\'''' )
												continue

								print(fibonacci.get(snake_case__ ) )


if __name__ == "__main__":
						main()




