

from typing import List, Union

from ..utils import (
    add_end_docstrings,
    is_tf_available,
    is_torch_available,
    is_vision_available,
    logging,
    requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
  from PIL import Image

  from ..image_utils import load_image

if is_tf_available():
  import tensorflow as tf

  from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
  from ..tf_utils import stable_softmax

if is_torch_available():
  from ..models.auto.modeling_auto import MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING

UpperCAmelCase__ :     Dict				    =    logging.get_logger(__name__)







@add_end_docstrings(UpperCAmelCase       )
class        a__       (   UpperCAmelCase       ):







  """simple docstring"""




  def __init__(			self    : List[str]				,				*UpperCAmelCase__    : Dict				,				**UpperCAmelCase__    : Any		)					->Dict:
        """simple docstring"""







        super().__init__(*UpperCAmelCase__				,				**UpperCAmelCase__		)
        requires_backends(self				,				"""vision"""		)
        self.check_model_type(
            TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
            if self.framework == """tf"""
            else MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING		)


  def  _lowercase      (			self    : Optional[Any]				,				UpperCAmelCase__    : Union[str, Any]=None		)					->Optional[int]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      Optional[Any]       =   {}
        if top_k is not None:
              SCREAMING_SNAKE_CASE :      Dict       =   top_k
        return {}, {}, postprocess_params


  def __call__(			self    : Any				,				UpperCAmelCase__    : Union[str, List[str], "Image.Image", List["Image.Image"]]				,				**UpperCAmelCase__    : int		)					->Union[str, Any]:
        """simple docstring"""







        return super().__call__(UpperCAmelCase__				,				**UpperCAmelCase__		)


  def  _lowercase      (			self    : List[Any]				,				UpperCAmelCase__    : List[Any]		)					->List[Any]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      List[str]       =   load_image(UpperCAmelCase__		)
        SCREAMING_SNAKE_CASE :      Dict       =   self.image_processor(images=UpperCAmelCase__				,				return_tensors=self.framework		)
        return model_inputs


  def  _lowercase      (			self    : Any				,				UpperCAmelCase__    : Dict		)					->Tuple:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      str       =   self.model(**UpperCAmelCase__		)
        return model_outputs




  def  _lowercase      (			self    : Optional[Any]				,				UpperCAmelCase__    : Any				,				UpperCAmelCase__    : Dict=5		)					->List[str]:
        """simple docstring"""







        if top_k > self.model.config.num_labels:
              SCREAMING_SNAKE_CASE :      int       =   self.model.config.num_labels

        if self.framework == "pt":
              SCREAMING_SNAKE_CASE :      Union[str, Any]       =   model_outputs.logits.softmax(-1		)[0]
              SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Dict       =   probs.topk(UpperCAmelCase__		)
        elif self.framework == "tf":
              SCREAMING_SNAKE_CASE :      Union[str, Any]       =   stable_softmax(model_outputs.logits				,				axis=-1		)[0]
              SCREAMING_SNAKE_CASE :      int       =   tf.math.top_k(UpperCAmelCase__				,				k=UpperCAmelCase__		)
              SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      Optional[Any]       =   topk.values.numpy(), topk.indices.numpy()
        else:
              raise ValueError(f"Unsupported framework: {self.framework}"		)

        SCREAMING_SNAKE_CASE :      Optional[Any]       =   scores.tolist()
        SCREAMING_SNAKE_CASE :      List[str]       =   ids.tolist()
        return [{"score": score, "label": self.model.config.idalabel[_id]} for score, _id in zip(UpperCAmelCase__				,				UpperCAmelCase__		)]







import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

UpperCAmelCase__ :     Optional[Any]				    =    3






def 					__lowercase      (     _A			)     ->						int:
      print("""Generating primitive root of p"""			)
      while True:
            SCREAMING_SNAKE_CASE :      int       =   random.randrange(3						,    _A			)
            if pow(_A						,    2						,    _A			) == 1:
                  continue
            if pow(_A						,    _A						,    _A			) == 1:
                  continue
            return g






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

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

      return public_key, private_key






def 					__lowercase      (     _A						,    _A			)     ->						None:
      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()

      SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      List[str]       =   generate_key(_A			)
      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 					__lowercase      (     )     ->						None:
      print("""Making key files..."""			)
      make_key_files("""elgamal"""						,    2048			)
      print("""Key files generation successful"""			)


if __name__ == "__main__":
  main()




