





'''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_         =			logging.get_logger(__name__)

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


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


class  a_					(    snake_case_	):

    '''simple docstring'''
    UpperCamelCase			   =			['''feature_extractor''', '''tokenizer''']
    # Names need to be attr_class for attr in attributes
    UpperCamelCase			   =			None
    UpperCamelCase			   =			None
    UpperCamelCase			   =			None


    def __init__(		self			,		*A			,		**A	)		->       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(A			,		self.attributes	):
            if attribute_name in kwargs:
                raise TypeError(f'Got multiple values for argument {attribute_name}.'	)
            else:
                _SCREAMING_SNAKE_CASE     =      arg

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

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

            setattr(self			,		A			,		A	)


    def __repr__(		self	)		->       Union[str, Any]:
        _SCREAMING_SNAKE_CASE     =      [f'- {name}: {repr(getattr(self			,		A	)	)}' for name in self.attributes]
        _SCREAMING_SNAKE_CASE     =      """\n""".join(A	)
        return f'{self.__class__.__name__}:\n{attributes_repr}'


    def       snake_case_(		self			,		A			,		A = False			,		**A	)		->       Tuple:
        os.makedirs(A			,		exist_ok=A	)

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

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

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

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


    @classmethod
    def       snake_case_(		cls			,		A			,		A = None			,		A = False			,		A = False			,		A = None			,		A = "main"			,		**A			,		)		->       int:
        _SCREAMING_SNAKE_CASE     =      cache_dir
        _SCREAMING_SNAKE_CASE     =      force_download
        _SCREAMING_SNAKE_CASE     =      local_files_only
        _SCREAMING_SNAKE_CASE     =      revision

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

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

        _SCREAMING_SNAKE_CASE     =      cls._get_arguments_from_pretrained(A			,		**A	)
        return cls(*A	)


    @classmethod
    def       snake_case_(		cls			,		A="AutoProcessor"	)		->       int:
        if not isinstance(A			,		A	):
            _SCREAMING_SNAKE_CASE     =      auto_class.__name__

        import transformers.models.auto as auto_module

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

        _SCREAMING_SNAKE_CASE     =      auto_class


    @classmethod
    def       snake_case_(		cls			,		A			,		**A	)		->       List[Any]:
        _SCREAMING_SNAKE_CASE     =      []
        for attribute_name in cls.attributes:
            _SCREAMING_SNAKE_CASE     =      getattr(cls			,		f'{attribute_name}_class'	)
            if isinstance(A			,		A	):
                _SCREAMING_SNAKE_CASE     =      tuple(getattr(A			,		A	) if n is not None else None for n in class_name	)
                _SCREAMING_SNAKE_CASE     =      kwargs.get("""use_fast"""			,		A	)
                if use_fast and classes[1] is not None:
                    _SCREAMING_SNAKE_CASE     =      classes[1]
                else:
                    _SCREAMING_SNAKE_CASE     =      classes[0]
            else:
                _SCREAMING_SNAKE_CASE     =      getattr(A			,		A	)

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





    @property
    def       snake_case_(		self	)		->       Optional[Any]:
        _SCREAMING_SNAKE_CASE     =      getattr(self			,		self.attributes[0]	)
        return getattr(A			,		"""model_input_names"""			,		A	)




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










'''simple docstring'''

def lowerCamelCase						(					__lowerCamelCase			:   int   )						->int:
    barcode //= 10  # exclude the last digit
    _SCREAMING_SNAKE_CASE     =      False
    _SCREAMING_SNAKE_CASE     =      0

    # extract and check each digit
    while barcode != 0:
        _SCREAMING_SNAKE_CASE     =      1 if checker else 3
        s += mult * (barcode % 10)
        barcode //= 10
        _SCREAMING_SNAKE_CASE     =      not checker

    return (10 - (s % 10)) % 10





def lowerCamelCase						(					__lowerCamelCase			:   int   )						->bool:
    return len(str(__lowerCamelCase   )   ) == 13 and get_check_digit(__lowerCamelCase   ) == barcode % 10





def lowerCamelCase						(					__lowerCamelCase			:   str   )						->int:
    if str(__lowerCamelCase   ).isalpha():
        _SCREAMING_SNAKE_CASE     =      F'Barcode \'{barcode}\' has alphabetic characters.'
        raise ValueError(__lowerCamelCase   )
    elif int(__lowerCamelCase   ) < 0:
        raise ValueError("""The entered barcode has a negative value. Try again."""   )
    else:
        return int(__lowerCamelCase   )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      lowercase_         =			get_barcode(input("""Barcode: """).strip())

      if is_valid(barcode):
            print(f"""'{barcode}' is a valid barcode.""")
      else:
            print(f"""'{barcode}' is NOT a valid barcode.""")



