





'''simple docstring'''






import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

A_		:  Any		 =						3



def        UpperCamelCase__		(						__magic_name__  :   int      )				->			int:
 '''simple docstring'''






 print("""Generating primitive root of p"""      )
 while True:
  snake_case__     :					Dict    =  random.randrange(3		,       _snake_case      )
  if pow(_snake_case		,       2		,       _snake_case      ) == 1:
   continue
  if pow(_snake_case		,       _snake_case		,       _snake_case      ) == 1:
   continue
  return g



def        UpperCamelCase__		(						__magic_name__  :   int      )				->			tuple[tuple[int, int, int, int], tuple[int, int]]:
 '''simple docstring'''






 print("""Generating prime p..."""      )
 snake_case__     :					int    =  rabin_miller.generate_large_prime(_snake_case      )  # select large prime number.
 snake_case__     :					List[Any]    =  primitive_root(_snake_case      )  # one primitive root on modulo p.
 snake_case__     :					Union[str, Any]    =  random.randrange(3		,       _snake_case      )  # private_key -> have to be greater than 2 for safety.
 snake_case__     :					List[Any]    =  cryptomath.find_mod_inverse(pow(_snake_case		,       _snake_case		,       _snake_case      )		,       _snake_case      )

 snake_case__     :					Union[str, Any]    =  (key_size, e_a, e_a, p)
 snake_case__     :					str    =  (key_size, d)

 return public_key, private_key



def        UpperCamelCase__		(						__magic_name__  :   str		,       __magic_name__  :   int      )				->			None:
 '''simple docstring'''






 if os.path.exists(f"{name}_pubkey.txt"      ) or os.path.exists(f"{name}_privkey.txt"      ):
  print("""\nWARNING:"""      )
  print(
      f"\"{name}_pubkey.txt\" or \"{name}_privkey.txt\" already exists. \n"
      """Use a different name or delete these files and re-run this program."""      )
  sys.exit()

 snake_case__  ,							snake_case__     :					Optional[Any]    =  generate_key(_snake_case      )
 print(f"\nWriting public key to file {name}_pubkey.txt..."      )
 with open(f"{name}_pubkey.txt"		,       """w"""      ) as fo:
  fo.write(f"{public_key[0]},{public_key[1]},{public_key[2]},{public_key[3]}"      )

 print(f"Writing private key to file {name}_privkey.txt..."      )
 with open(f"{name}_privkey.txt"		,       """w"""      ) as fo:
  fo.write(f"{private_key[0]},{private_key[1]}"      )



def        UpperCamelCase__		(						)				->			None:
 '''simple docstring'''






 print("""Making key files..."""      )
 make_key_files("""elgamal"""		,       20_48      )
 print("""Key files generation successful"""      )


if __name__ == "__main__":
    main()












from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType






class 					SCREAMING_SNAKE_CASE_  (       _a ):
       """simple docstring"""


       __lowerCAmelCase    :		Dict					=['''image_processor''', '''tokenizer''']
       __lowerCAmelCase    :		List[Any]					='''BlipImageProcessor'''
       __lowerCAmelCase    :		Union[str, Any]					=('''BertTokenizer''', '''BertTokenizerFast''')





       def __init__(				self	:Optional[int],      snake_case	:int,      snake_case	:Optional[int]):



          """simple docstring"""

          _lowercase              =False
          super().__init__(snake_case,      snake_case)
          _lowercase              =self.image_processor





       def __call__(				self	:Dict,      snake_case	:ImageInput = None,      snake_case	:Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None,      snake_case	:bool = True,      snake_case	:Union[bool, str, PaddingStrategy] = False,      snake_case	:Union[bool, str, TruncationStrategy] = None,      snake_case	:Optional[int] = None,      snake_case	:int = 0,      snake_case	:Optional[int] = None,      snake_case	:Optional[bool] = None,      snake_case	:bool = False,      snake_case	:bool = False,      snake_case	:bool = False,      snake_case	:bool = False,      snake_case	:bool = False,      snake_case	:bool = True,      snake_case	:Optional[Union[str, TensorType]] = None,      **snake_case	:str,      ):



          """simple docstring"""

          if images is None and text is None:
             raise ValueError('You have to specify either images or text.')

          # Get only text
          if images is None:
             _lowercase              =self.tokenizer
             _lowercase              =self.tokenizer(
                 text=snake_case,      add_special_tokens=snake_case,      padding=snake_case,      truncation=snake_case,      max_length=snake_case,      stride=snake_case,      pad_to_multiple_of=snake_case,      return_attention_mask=snake_case,      return_overflowing_tokens=snake_case,      return_special_tokens_mask=snake_case,      return_offsets_mapping=snake_case,      return_token_type_ids=snake_case,      return_length=snake_case,      verbose=snake_case,      return_tensors=snake_case,      **snake_case,      )
             return text_encoding

          # add pixel_values
          _lowercase              =self.image_processor(snake_case,      return_tensors=snake_case)

          if text is not None:
             _lowercase              =self.tokenizer(
                 text=snake_case,      add_special_tokens=snake_case,      padding=snake_case,      truncation=snake_case,      max_length=snake_case,      stride=snake_case,      pad_to_multiple_of=snake_case,      return_attention_mask=snake_case,      return_overflowing_tokens=snake_case,      return_special_tokens_mask=snake_case,      return_offsets_mapping=snake_case,      return_token_type_ids=snake_case,      return_length=snake_case,      verbose=snake_case,      return_tensors=snake_case,      **snake_case,      )
          else:
             _lowercase              =None

          if text_encoding is not None:
             encoding_image_processor.update(snake_case)

          return encoding_image_processor





       def 				UpperCamelCase__						(				self	:List[Any],      *snake_case	:int,      **snake_case	:str):



          """simple docstring"""

          return self.tokenizer.batch_decode(*snake_case,      **snake_case)





       def 				UpperCamelCase__						(				self	:Tuple,      *snake_case	:List[str],      **snake_case	:str):



          """simple docstring"""

          return self.tokenizer.decode(*snake_case,      **snake_case)





       @property
       def 				UpperCamelCase__						(				self	:List[Any]):



          """simple docstring"""

          _lowercase              =self.tokenizer.model_input_names
          _lowercase              =self.image_processor.model_input_names
          return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names))


