





import random
import sys

from . import cryptomath_module as cryptomath

__UpperCAmelCase			:  Optional[Any]										=				(
    R" !\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`"
    R"abcdefghijklmnopqrstuvwxyz{|}~"
)







def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)  ->       None:
  if mode == "encrypt":
    if key_a == 1:
      sys.exit(
          """The affine cipher becomes weak when key """
          """A is set to 1. Choose different key""")
    if key_b == 0:
      sys.exit(
          """The affine cipher becomes weak when key """
          """B is set to 0. Choose different key""")
  if key_a < 0 or key_b < 0 or key_b > len(SCREAMING_SNAKE_CASE__) - 1:
    sys.exit(
        """Key A must be greater than 0 and key B must """
        F'''be between 0 and {len(SCREAMING_SNAKE_CASE__) - 1}.''')
  if cryptomath.gcd(SCREAMING_SNAKE_CASE__   ,   len(SCREAMING_SNAKE_CASE__)) != 1:
    sys.exit(
        F'''Key A {key_a} and the symbol set size {len(SCREAMING_SNAKE_CASE__)} '''
        """are not relatively prime. Choose a different key.""")







def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)  ->       str:
  __snake_case    ,  __snake_case:		str					    =		divmod(SCREAMING_SNAKE_CASE__   ,   len(SCREAMING_SNAKE_CASE__))
  check_keys(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   """encrypt""")
  __snake_case:		List[Any]					    =		""""""
  for symbol in message:
    if symbol in SYMBOLS:
      __snake_case:		Optional[Any]					    =		SYMBOLS.find(SCREAMING_SNAKE_CASE__)
      cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(SCREAMING_SNAKE_CASE__)]
    else:
      cipher_text += symbol
  return cipher_text







def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)  ->       str:
  __snake_case    ,  __snake_case:		str					    =		divmod(SCREAMING_SNAKE_CASE__   ,   len(SCREAMING_SNAKE_CASE__))
  check_keys(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   """decrypt""")
  __snake_case:		Dict					    =		""""""
  __snake_case:		Tuple					    =		cryptomath.find_mod_inverse(SCREAMING_SNAKE_CASE__   ,   len(SCREAMING_SNAKE_CASE__))
  for symbol in message:
    if symbol in SYMBOLS:
      __snake_case:		Optional[Any]					    =		SYMBOLS.find(SCREAMING_SNAKE_CASE__)
      plain_text += SYMBOLS[
          (sym_index - key_b) * mod_inverse_of_key_a % len(SCREAMING_SNAKE_CASE__)
      ]
    else:
      plain_text += symbol
  return plain_text







def      A__				(       )  ->       int:
  while True:
    __snake_case:		Any					    =		random.randint(2   ,   len(SCREAMING_SNAKE_CASE__))
    __snake_case:		Optional[int]					    =		random.randint(2   ,   len(SCREAMING_SNAKE_CASE__))
    if cryptomath.gcd(SCREAMING_SNAKE_CASE__   ,   len(SCREAMING_SNAKE_CASE__)) == 1 and key_b % len(SCREAMING_SNAKE_CASE__) != 0:
      return key_b * len(SCREAMING_SNAKE_CASE__) + key_b







def      A__				(       )  ->       None:
  __snake_case:		str					    =		input("""Enter message: """).strip()
  __snake_case:		List[Any]					    =		int(input("""Enter key [2000 - 9000]: """).strip())
  __snake_case:		List[str]					    =		input("""Encrypt/Decrypt [E/D]: """).strip().lower()

  if mode.startswith("""e"""):
    __snake_case:		str					    =		"""encrypt"""
    __snake_case:		Any					    =		encrypt_message(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)
  elif mode.startswith("""d"""):
    __snake_case:		Tuple					    =		"""decrypt"""
    __snake_case:		Tuple					    =		decrypt_message(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)
  print(F'''\n{mode.title()}ed text: \n{translated}''')


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      # main()













from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase			:  List[str]										=				logging.get_logger(__name__)

__UpperCAmelCase			:  int										=				{
    # pcqm4mv1 now deprecated
    "graphormer-base": "https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json",
    # See all Graphormer models at https://huggingface.co/models?filter=graphormer
}







class        __snake_case			(				__lowerCamelCase     ):





       '''simple docstring'''







       lowerCAmelCase__ 						=	"""graphormer"""
       lowerCAmelCase__ 						=	["""past_key_values"""]




       def __init__(    self					:       List[Any]				,							A					:       int = 1				,							A					:       int = 512 * 9				,							A					:       int = 512 * 3				,							A					:       int = 512				,							A					:       int = 512				,							A					:       int = 512				,							A					:       int = 128				,							A					:       int = 5				,							A					:       int = 1_024				,							A					:       str = "multi_hop"				,							A					:       int = 512				,							A					:       bool = False				,							A					:       int = 12				,							A					:       int = 768				,							A					:       int = 768				,							A					:       int = 32				,							A					:       float = 0.1				,							A					:       float = 0.1				,							A					:       float = 0.0				,							A					:       bool = False				,							A					:       bool = False				,							A					:       bool = False				,							A					:       str = "gelu"				,							A					:       float = None				,							A					:       bool = False				,							A					:       int = 0				,							A					:       bool = False				,							A					:       float = 0.0				,							A					:       int = 8				,							A					:       int = None				,							A					:       int = None				,							A					:       bool = True				,							A					:       bool = True				,							A					:       Any=0				,							A					:       Optional[int]=1				,							A					:       Any=2				,							**A					:       Optional[Any]				,							):
         __snake_case:		List[str]					    =		num_classes
         __snake_case:		int					    =		num_atoms
         __snake_case:		List[str]					    =		num_in_degree
         __snake_case:		str					    =		num_out_degree
         __snake_case:		Tuple					    =		num_edges
         __snake_case:		Optional[int]					    =		num_spatial
         __snake_case:		int					    =		num_edge_dis
         __snake_case:		Tuple					    =		edge_type
         __snake_case:		str					    =		multi_hop_max_dist
         __snake_case:		List[str]					    =		spatial_pos_max
         __snake_case:		Optional[Any]					    =		max_nodes
         __snake_case:		Optional[int]					    =		num_hidden_layers
         __snake_case:		Union[str, Any]					    =		embedding_dim
         __snake_case:		Union[str, Any]					    =		embedding_dim
         __snake_case:		Optional[int]					    =		ffn_embedding_dim
         __snake_case:		List[str]					    =		num_attention_heads
         __snake_case:		Any					    =		dropout
         __snake_case:		Dict					    =		attention_dropout
         __snake_case:		Any					    =		layerdrop
         __snake_case:		Dict					    =		encoder_normalize_before
         __snake_case:		Any					    =		pre_layernorm
         __snake_case:		Optional[int]					    =		apply_graphormer_init
         __snake_case:		List[str]					    =		activation_fn
         __snake_case:		Optional[int]					    =		embed_scale
         __snake_case:		Dict					    =		freeze_embeddings
         __snake_case:		Any					    =		num_trans_layers_to_freeze
         __snake_case:		int					    =		share_input_output_embed
         __snake_case:		Dict					    =		traceable
         __snake_case:		str					    =		q_noise
         __snake_case:		Union[str, Any]					    =		qn_block_size

         # These parameters are here for future extensions
         # atm, the model only supports self attention
         __snake_case:		str					    =		kdim
         __snake_case:		Dict					    =		vdim
         __snake_case:		List[Any]					    =		self_attention
         __snake_case:		Tuple					    =		bias

         super().__init__(
             pad_token_id=A				,							bos_token_id=A				,							eos_token_id=A				,							**A				,							)






