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


UpperCAmelCase				 =   logging.get_logger(__name__)

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


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






class 				_SCREAMING_SNAKE_CASE( snake_case__						):
   UpperCamelCase_					:    Optional[int]			      = ['feature_extractor', 'tokenizer']
   # Names need to be attr_class for attr in attributes
   UpperCamelCase_					:    Any			      = None
   UpperCamelCase_					:    Optional[Any]			      = None
   UpperCamelCase_					:    List[Any]			      = None
   def __init__(     self				,  *lowerCAmelCase_				,  **lowerCAmelCase_     )						->Union[str, 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(lowerCAmelCase_				,  self.attributes     ):
             if attribute_name in kwargs:
                  raise TypeError(F"""Got multiple values for argument {attribute_name}."""     )
             else:
                  a	:     Optional[int]						      =    arg

        if len(lowerCAmelCase_     ) != len(self.attributes     ):
             raise ValueError(
                 F"""This processor requires {len(self.attributes     )} arguments: {', '.join(self.attributes     )}. Got """
                 F"""{len(lowerCAmelCase_     )} 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	:     Dict						      =    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(lowerCAmelCase_				,  lowerCAmelCase_     )
             if isinstance(lowerCAmelCase_				,  lowerCAmelCase_     ):
                  a	:     Any						      =    tuple(getattr(lowerCAmelCase_				,  lowerCAmelCase_     ) for n in class_name if n is not None     )
             else:
                  a	:     Union[str, Any]						      =    getattr(lowerCAmelCase_				,  lowerCAmelCase_     )

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

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

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

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

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

        if push_to_hub:
             self._upload_modified_files(
                 lowerCAmelCase_				,  lowerCAmelCase_				,  lowerCAmelCase_				,  commit_message=lowerCAmelCase_				,  token=kwargs.get('''use_auth_token'''     )				,  )
   @classmethod
   def _lowercase(     cls				,  lowerCAmelCase_				,  lowerCAmelCase_ = None				,  lowerCAmelCase_ = False				,  lowerCAmelCase_ = False				,  lowerCAmelCase_ = None				,  lowerCAmelCase_ = "main"				,  **lowerCAmelCase_				,  )						->Union[str, Any]:
        a	:     List[Any]						      =    cache_dir
        a	:     str						      =    force_download
        a	:     Union[str, Any]						      =    local_files_only
        a	:     str						      =    revision

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

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

        a	:     Optional[int]						      =    cls._get_arguments_from_pretrained(lowerCAmelCase_				,  **lowerCAmelCase_     )
        return cls(*lowerCAmelCase_     )
   @classmethod
   def _lowercase(     cls				,  lowerCAmelCase_="AutoProcessor"     )						->Optional[int]:
        if not isinstance(lowerCAmelCase_				,  lowerCAmelCase_     ):
             a	:     List[str]						      =    auto_class.__name__

        import transformers.models.auto as auto_module

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

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

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


   @property
   def _lowercase(     self     )						->Any:
        a	:     Union[str, Any]						      =    getattr(self				,  self.attributes[0]     )
        return getattr(lowerCAmelCase_				,  '''model_input_names'''				,  lowerCAmelCase_     )

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





from math import cos, sin



def     lowerCAmelCase		(		_lowerCAmelCase				: float						):




 """simple docstring"""







 UpperCAmelCase__							=    float(_lowerCAmelCase						)
 return [[scaling_factor * int(x == y						) for x in range(2						)] for y in range(2						)]



def     lowerCAmelCase		(		_lowerCAmelCase				: float						):




 """simple docstring"""







 UpperCAmelCase__			,			UpperCAmelCase__							=    cos(_lowerCAmelCase						), sin(_lowerCAmelCase						)
 return [[c, -s], [s, c]]



def     lowerCAmelCase		(		_lowerCAmelCase				: float						):




 """simple docstring"""







 UpperCAmelCase__			,			UpperCAmelCase__							=    cos(_lowerCAmelCase						), sin(_lowerCAmelCase						)
 UpperCAmelCase__							=    c * s
 return [[c * c, cs], [cs, s * s]]



def     lowerCAmelCase		(		_lowerCAmelCase				: float						):




 """simple docstring"""







 UpperCAmelCase__			,			UpperCAmelCase__							=    cos(_lowerCAmelCase						), sin(_lowerCAmelCase						)
 UpperCAmelCase__							=    c * s
 return [[2 * c - 1, 2 * cs], [2 * cs, 2 * s - 1]]


print(F'''    {scaling(5) = }''')
print(F'''  {rotation(4_5) = }''')
print(F'''{projection(4_5) = }''')


print(F'''{reflection(4_5) = }''')





