



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


__magic_name__       =     logging.get_logger(__name__)

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


__magic_name__       =     {
    '''AutoTokenizer''': '''PreTrainedTokenizerBase''',
    '''AutoFeatureExtractor''': '''FeatureExtractionMixin''',
    '''AutoImageProcessor''': '''ImageProcessingMixin''',
}


class 	a__       (       _snake_case       ):


					"""simple docstring"""



					A__  :				List[Any]					 =				['''feature_extractor''', '''tokenizer''']
					# Names need to be attr_class for attr in attributes
					A__  :				Any					 =				None
					A__  :				Tuple					 =				None
					A__  :				Optional[Any]					 =				None

					def __init__(		self     :int      ,  *lowercase__     :List[Any]      ,  **lowercase__     :List[str]    ):
										# 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(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     :Union[str, Any]    ):
										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__     :Optional[int]      ,  lowercase__     :bool = False      ,  **lowercase__     :Optional[Any]    ):
										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     :Optional[Any]      ,  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__     :Dict      ,  ):
										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     :List[str]      ,  lowercase__     :Union[str, Any]="AutoProcessor"    ):
										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     :Dict      ,  lowercase__     :Any      ,  **lowercase__     :List[Any]    ):
										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     :List[Any]    ):
										lowercase						   =       getattr(self      ,  self.attributes[0]    )
										return getattr(lowercase__      ,  'model_input_names'      ,  lowercase__    )




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











import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property


class 	a__       (       unittest.TestCase       ):


					"""simple docstring"""



					@cached_property
					def 				__UpperCAmelCase		(		self     :Optional[Any]    ):
										return BlenderbotTokenizer.from_pretrained('facebook/blenderbot-3B'    )

					@cached_property
					def 				__UpperCAmelCase		(		self     :Any    ):
										return BlenderbotTokenizerFast.from_pretrained('facebook/blenderbot-3B'    )

					def 				__UpperCAmelCase		(		self     :str    ):
										lowercase						   =       self.tokenizer_ab
										lowercase						   =       ' I am a small frog.'
										lowercase						   =       tok([src_text]      ,  padding=lowercase__      ,  truncation=lowercase__    )['input_ids']
										lowercase						   =       tok.batch_decode(lowercase__      ,  skip_special_tokens=lowercase__      ,  clean_up_tokenization_spaces=lowercase__    )[0]
										assert src_text == decoded

					def 				__UpperCAmelCase		(		self     :Union[str, Any]    ):
										lowercase						   =       self.rust_tokenizer_ab
										lowercase						   =       ' I am a small frog.'
										lowercase						   =       tok([src_text]      ,  padding=lowercase__      ,  truncation=lowercase__    )['input_ids']
										lowercase						   =       tok.batch_decode(lowercase__      ,  skip_special_tokens=lowercase__      ,  clean_up_tokenization_spaces=lowercase__    )[0]
										assert src_text == decoded

					def 				__UpperCAmelCase		(		self     :Any    ):
										assert self.tokenizer_ab.add_prefix_space
										assert self.tokenizer_ab([' Sam', 'Sam']    ).input_ids == [[5502, 2], [5502, 2]]



					def 				__UpperCAmelCase		(		self     :Union[str, Any]    ):
										assert self.rust_tokenizer_ab.add_prefix_space
										assert self.rust_tokenizer_ab([' Sam', 'Sam']    ).input_ids == [[5502, 2], [5502, 2]]






