





import os
import sys

from . import rsa_key_generator as rkg

__UpperCAmelCase			:  int										=				128
__UpperCAmelCase			:  Optional[Any]										=				256







def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__ = DEFAULT_BLOCK_SIZE)  ->       list[int]:
  __snake_case:		Union[str, Any]					    =		message.encode("""ascii""")

  __snake_case:		str					    =		[]
  for block_start in range(0   ,   len(SCREAMING_SNAKE_CASE__)   ,   SCREAMING_SNAKE_CASE__):
    __snake_case:		Optional[Any]					    =		0
    for i in range(SCREAMING_SNAKE_CASE__   ,   min(block_start + block_size   ,   len(SCREAMING_SNAKE_CASE__))):
      block_int += message_bytes[i] * (BYTE_SIZE ** (i % block_size))
    block_ints.append(SCREAMING_SNAKE_CASE__)
  return block_ints







def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__ = DEFAULT_BLOCK_SIZE)  ->       str:
  __snake_case:		list[str]					    =		[]
  for block_int in block_ints:
    __snake_case:		list[str]					    =		[]
    for i in range(block_size - 1   ,   -1   ,   -1):
      if len(SCREAMING_SNAKE_CASE__) + i < message_length:
        __snake_case:		List[Any]					    =		block_int // (BYTE_SIZE**i)
        __snake_case:		Tuple					    =		block_int % (BYTE_SIZE**i)
        block_message.insert(0   ,   chr(SCREAMING_SNAKE_CASE__))
    message.extend(SCREAMING_SNAKE_CASE__)
  return "".join(SCREAMING_SNAKE_CASE__)







def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__ = DEFAULT_BLOCK_SIZE)  ->       list[int]:
  __snake_case:		Union[str, Any]					    =		[]
  __snake_case    ,  __snake_case:		int					    =		key

  for block in get_blocks_from_text(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__):
    encrypted_blocks.append(pow(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__))
  return encrypted_blocks







def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__ = DEFAULT_BLOCK_SIZE   ,   )  ->       str:
  __snake_case:		int					    =		[]
  __snake_case    ,  __snake_case:		int					    =		key
  for block in encrypted_blocks:
    decrypted_blocks.append(pow(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__))
  return get_text_from_blocks(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)







def      A__				(       SCREAMING_SNAKE_CASE__)  ->       tuple[int, int, int]:
  with open(SCREAMING_SNAKE_CASE__) as fo:
    __snake_case:		str					    =		fo.read()
  __snake_case    ,  __snake_case    ,  __snake_case:		str					    =		content.split(""",""")
  return (int(SCREAMING_SNAKE_CASE__), int(SCREAMING_SNAKE_CASE__), int(SCREAMING_SNAKE_CASE__))







def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__ = DEFAULT_BLOCK_SIZE   ,   )  ->       str:
  __snake_case    ,  __snake_case    ,  __snake_case:		Optional[int]					    =		read_key_file(SCREAMING_SNAKE_CASE__)
  if key_size < block_size * 8:
    sys.exit(
        """ERROR: Block size is {} bits and key size is {} bits. The RSA cipher """
        """requires the block size to be equal to or greater than the key size. """
        """Either decrease the block size or use different keys.""".format(
            block_size * 8   ,   SCREAMING_SNAKE_CASE__))

  __snake_case:		Optional[int]					    =		[str(SCREAMING_SNAKE_CASE__) for i in encrypt_message(SCREAMING_SNAKE_CASE__   ,   (n, e)   ,   SCREAMING_SNAKE_CASE__)]

  __snake_case:		int					    =		""",""".join(SCREAMING_SNAKE_CASE__)
  __snake_case:		List[str]					    =		F'''{len(SCREAMING_SNAKE_CASE__)}_{block_size}_{encrypted_content}'''
  with open(SCREAMING_SNAKE_CASE__   ,   """w""") as fo:
    fo.write(SCREAMING_SNAKE_CASE__)
  return encrypted_content







def      A__				(       SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)  ->       str:
  __snake_case    ,  __snake_case    ,  __snake_case:		Any					    =		read_key_file(SCREAMING_SNAKE_CASE__)
  with open(SCREAMING_SNAKE_CASE__) as fo:
    __snake_case:		Optional[Any]					    =		fo.read()
  __snake_case    ,  __snake_case    ,  __snake_case:		List[str]					    =		content.split("""_""")
  __snake_case:		Tuple					    =		int(SCREAMING_SNAKE_CASE__)
  __snake_case:		Optional[Any]					    =		int(SCREAMING_SNAKE_CASE__)

  if key_size < block_size * 8:
    sys.exit(
        """ERROR: Block size is {} bits and key size is {} bits. The RSA cipher """
        """requires the block size to be equal to or greater than the key size. """
        """Did you specify the correct key file and encrypted file?""".format(
            block_size * 8   ,   SCREAMING_SNAKE_CASE__))

  __snake_case:		Optional[Any]					    =		[]
  for block in encrypted_message.split(""","""):
    encrypted_blocks.append(int(SCREAMING_SNAKE_CASE__))

  return decrypt_message(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   (n, d)   ,   SCREAMING_SNAKE_CASE__)







def      A__				(       )  ->       None:
  __snake_case:		int					    =		"""encrypted_file.txt"""
  __snake_case:		Dict					    =		input(r"""Encrypt\Decrypt [e\d]: """)

  if response.lower().startswith("""e"""):
    __snake_case:		Union[str, Any]					    =		"""encrypt"""
  elif response.lower().startswith("""d"""):
    __snake_case:		List[str]					    =		"""decrypt"""

  if mode == "encrypt":
    if not os.path.exists("""rsa_pubkey.txt"""):
      rkg.make_key_files("""rsa"""   ,   1024)

    __snake_case:		List[Any]					    =		input("""\nEnter message: """)
    __snake_case:		List[Any]					    =		"""rsa_pubkey.txt"""
    print(F'''Encrypting and writing to {filename}...''')
    __snake_case:		Optional[int]					    =		encrypt_and_write_to_file(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)

    print("""\nEncrypted text:""")
    print(SCREAMING_SNAKE_CASE__)

  elif mode == "decrypt":
    __snake_case:		Optional[Any]					    =		"""rsa_privkey.txt"""
    print(F'''Reading from {filename} and decrypting...''')
    __snake_case:		Dict					    =		read_from_file_and_decrypt(SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__)
    print("""writing decryption to rsa_decryption.txt...""")
    with open("""rsa_decryption.txt"""   ,   """w""") as dec:
      dec.write(SCREAMING_SNAKE_CASE__)

    print("""\nDecryption:""")
    print(SCREAMING_SNAKE_CASE__)


if __name__ == "__main__":
      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				,							)






