






import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

snake_case    				=		3


def   lowerCamelCase__			(     lowercase				):

  """simple docstring"""






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


def   lowerCamelCase__			(     lowercase				):

  """simple docstring"""






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

  SCREAMING_SNAKE_CASE       :      Optional[Any]							=    (key_size, e_a, e_a, p)
  SCREAMING_SNAKE_CASE       :      Tuple							=    (key_size, d)

  return public_key, private_key


def   lowerCamelCase__			(     lowercase						,     lowercase				):

  """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()

  SCREAMING_SNAKE_CASE						,  SCREAMING_SNAKE_CASE       :      int							=    generate_key(lowercase				)
  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   lowerCamelCase__			(     ):

  """simple docstring"""






  print("Making key files..."				)
  make_key_files("elgamal"						,     2048				)
  print("Key files generation successful"				)


if __name__ == "__main__":
   main()














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


snake_case    				=		{"""configuration_swin""": ["""SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SwinConfig""", """SwinOnnxConfig"""]}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   snake_case    				=		[
       """SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """SwinForImageClassification""",
       """SwinForMaskedImageModeling""",
       """SwinModel""",
       """SwinPreTrainedModel""",
       """SwinBackbone""",
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   snake_case    				=		[
       """TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """TFSwinForImageClassification""",
       """TFSwinForMaskedImageModeling""",
       """TFSwinModel""",
       """TFSwinPreTrainedModel""",
   ]

if TYPE_CHECKING:
   from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_swin import (
          SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
          SwinBackbone,
          SwinForImageClassification,
          SwinForMaskedImageModeling,
          SwinModel,
          SwinPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_swin import (
          TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFSwinForImageClassification,
          TFSwinForMaskedImageModeling,
          TFSwinModel,
          TFSwinPreTrainedModel,
      )

else:
   import sys

   snake_case    				=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






