

'''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


_lowerCamelCase    =  logging.get_logger(__name__)

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


_lowerCamelCase    =  {
    'AutoTokenizer': 'PreTrainedTokenizerBase',
    'AutoFeatureExtractor': 'FeatureExtractionMixin',
    'AutoImageProcessor': 'ImageProcessingMixin',
}
class 					__a   (		_snake_case  ):
						__SCREAMING_SNAKE_CASE     :					Any  =      ['feature_extractor', 'tokenizer']
						# Names need to be attr_class for attr in attributes
						__SCREAMING_SNAKE_CASE     :					Dict  =      None
						__SCREAMING_SNAKE_CASE     :					Tuple  =      None
						__SCREAMING_SNAKE_CASE     :					Any  =      None

						def __init__(		self	:						List[Any]    ,			*lowercase__	:						Any    ,			**lowercase__	:						List[Any])						->Union[str, Any]:

							"""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:
									_lowercase							=     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():
								_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(lowercase__    ,			lowercase__)
								if isinstance(lowercase__    ,			lowercase__):
									_lowercase							=     tuple(getattr(lowercase__    ,			lowercase__) for n in class_name if n is not None)
								else:
									_lowercase							=     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	:						List[Any])						->Dict:

							"""simple docstring"""



							_lowercase							=     [f"""- {name}: {repr(getattr(self    ,			lowercase__))}""" for name in self.attributes]
							_lowercase							=     """\n""".join(lowercase__)
							return f"""{self.__class__.__name__}:\n{attributes_repr}"""

						def 	_UpperCAmelCase							(		self	:						str    ,			lowercase__	:						Dict    ,			lowercase__	:						bool = False    ,			**lowercase__	:						Union[str, Any])						->Union[str, Any]:

							"""simple docstring"""



							os.makedirs(lowercase__    ,			exist_ok=lowercase__)

							if push_to_hub:
								_lowercase							=     kwargs.pop("""commit_message"""    ,			lowercase__)
								_lowercase							=     kwargs.pop("""repo_id"""    ,			save_directory.split(os.path.sep)[-1])
								_lowercase							=     self._create_repo(lowercase__    ,			**lowercase__)
								_lowercase							=     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:
								_lowercase							=     [getattr(self    ,			lowercase__) for attribute_name in self.attributes]
								_lowercase							=     [(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:
								_lowercase							=     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:
									_lowercase							=     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 	_UpperCAmelCase							(		cls	:						str    ,			lowercase__	:						Union[str, os.PathLike]    ,			lowercase__	:						Optional[Union[str, os.PathLike]] = None    ,			lowercase__	:						bool = False    ,			lowercase__	:						bool = False    ,			lowercase__	:						Optional[Union[str, bool]] = None    ,			lowercase__	:						str = "main"    ,			**lowercase__	:						Optional[Any]    ,			)						->int:

							"""simple docstring"""



							_lowercase							=     cache_dir
							_lowercase							=     force_download
							_lowercase							=     local_files_only
							_lowercase							=     revision

							_lowercase							=     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`.""")
								_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(lowercase__    ,			**lowercase__)
							return cls(*lowercase__)

						@classmethod
						def 	_UpperCAmelCase							(		cls	:						Any    ,			lowercase__	:						List[Any]="AutoProcessor")						->int:

							"""simple docstring"""



							if not isinstance(lowercase__    ,			lowercase__):
								_lowercase							=     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.""")

							_lowercase							=     auto_class

						@classmethod
						def 	_UpperCAmelCase							(		cls	:						str    ,			lowercase__	:						Tuple    ,			**lowercase__	:						List[str])						->List[Any]:

							"""simple docstring"""



							_lowercase							=     []
							for attribute_name in cls.attributes:
								_lowercase							=     getattr(cls    ,			f"""{attribute_name}_class""")
								if isinstance(lowercase__    ,			lowercase__):
									_lowercase							=     tuple(getattr(lowercase__    ,			lowercase__) if n is not None else None for n in class_name)
									_lowercase							=     kwargs.get("""use_fast"""    ,			lowercase__)
									if use_fast and classes[1] is not None:
										_lowercase							=     classes[1]
									else:
										_lowercase							=     classes[0]
								else:
									_lowercase							=     getattr(lowercase__    ,			lowercase__)

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


						@property
						def 	_UpperCAmelCase							(		self	:						Union[str, Any])						->Optional[Any]:

							"""simple docstring"""



							_lowercase							=     getattr(self    ,			self.attributes[0])
							return getattr(lowercase__    ,			"""model_input_names"""    ,			lowercase__)






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







'''simple docstring'''







from __future__ import annotations

from collections.abc import Generator






def 					_SCREAMING_SNAKE_CASE		(						snake_case_	):
	if not isinstance(snake_case_							,       snake_case_	) or n < 1:
		raise Exception("""Sequence only defined for positive integers"""	)

	yield n
	while n != 1:
		if n % 2 == 0:
			n //= 2
		else:
			_lowercase							=     3 * n + 1
		yield n






def 					_SCREAMING_SNAKE_CASE		(						):
	_lowercase							=     43
	_lowercase							=     tuple(collatz_sequence(snake_case_	)	)
	print(snake_case_	)
	print(F"""Collatz sequence from {n} took {len(snake_case_	)} steps."""	)


if __name__ == "__main__":
							main()




