






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


UpperCamelCase												=      logging.get_logger(__name__)

UpperCamelCase												=      {
    # 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  __UpperCAmelCase						(_UpperCAmelCase       ):
			__snake_case							: str							=				"graphormer"
			__snake_case							: Optional[Any]							=				["past_key_values"]







			def __init__(      self:    Dict ,      UpperCAmelCase_:    int = 1 ,      UpperCAmelCase_:    int = 512 * 9 ,      UpperCAmelCase_:    int = 512 * 3 ,      UpperCAmelCase_:    int = 512 ,      UpperCAmelCase_:    int = 512 ,      UpperCAmelCase_:    int = 512 ,      UpperCAmelCase_:    int = 128 ,      UpperCAmelCase_:    int = 5 ,      UpperCAmelCase_:    int = 1_024 ,      UpperCAmelCase_:    str = "multi_hop" ,      UpperCAmelCase_:    int = 512 ,      UpperCAmelCase_:    bool = False ,      UpperCAmelCase_:    int = 12 ,      UpperCAmelCase_:    int = 768 ,      UpperCAmelCase_:    int = 768 ,      UpperCAmelCase_:    int = 32 ,      UpperCAmelCase_:    float = 0.1 ,      UpperCAmelCase_:    float = 0.1 ,      UpperCAmelCase_:    float = 0.0 ,      UpperCAmelCase_:    bool = False ,      UpperCAmelCase_:    bool = False ,      UpperCAmelCase_:    bool = False ,      UpperCAmelCase_:    str = "gelu" ,      UpperCAmelCase_:    float = None ,      UpperCAmelCase_:    bool = False ,      UpperCAmelCase_:    int = 0 ,      UpperCAmelCase_:    bool = False ,      UpperCAmelCase_:    float = 0.0 ,      UpperCAmelCase_:    int = 8 ,      UpperCAmelCase_:    int = None ,      UpperCAmelCase_:    int = None ,      UpperCAmelCase_:    bool = True ,      UpperCAmelCase_:    bool = True ,      UpperCAmelCase_:    Tuple=0 ,      UpperCAmelCase_:    Optional[Any]=1 ,      UpperCAmelCase_:    Tuple=2 ,      **UpperCAmelCase_:    str ,      ):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE       =    num_classes
									_SCREAMING_SNAKE_CASE       =    num_atoms
									_SCREAMING_SNAKE_CASE       =    num_in_degree
									_SCREAMING_SNAKE_CASE       =    num_out_degree
									_SCREAMING_SNAKE_CASE       =    num_edges
									_SCREAMING_SNAKE_CASE       =    num_spatial
									_SCREAMING_SNAKE_CASE       =    num_edge_dis
									_SCREAMING_SNAKE_CASE       =    edge_type
									_SCREAMING_SNAKE_CASE       =    multi_hop_max_dist
									_SCREAMING_SNAKE_CASE       =    spatial_pos_max
									_SCREAMING_SNAKE_CASE       =    max_nodes
									_SCREAMING_SNAKE_CASE       =    num_hidden_layers
									_SCREAMING_SNAKE_CASE       =    embedding_dim
									_SCREAMING_SNAKE_CASE       =    embedding_dim
									_SCREAMING_SNAKE_CASE       =    ffn_embedding_dim
									_SCREAMING_SNAKE_CASE       =    num_attention_heads
									_SCREAMING_SNAKE_CASE       =    dropout
									_SCREAMING_SNAKE_CASE       =    attention_dropout
									_SCREAMING_SNAKE_CASE       =    layerdrop
									_SCREAMING_SNAKE_CASE       =    encoder_normalize_before
									_SCREAMING_SNAKE_CASE       =    pre_layernorm
									_SCREAMING_SNAKE_CASE       =    apply_graphormer_init
									_SCREAMING_SNAKE_CASE       =    activation_fn
									_SCREAMING_SNAKE_CASE       =    embed_scale
									_SCREAMING_SNAKE_CASE       =    freeze_embeddings
									_SCREAMING_SNAKE_CASE       =    num_trans_layers_to_freeze
									_SCREAMING_SNAKE_CASE       =    share_input_output_embed
									_SCREAMING_SNAKE_CASE       =    traceable
									_SCREAMING_SNAKE_CASE       =    q_noise
									_SCREAMING_SNAKE_CASE       =    qn_block_size

									# These parameters are here for future extensions
									# atm, the model only supports self attention
									_SCREAMING_SNAKE_CASE       =    kdim
									_SCREAMING_SNAKE_CASE       =    vdim
									_SCREAMING_SNAKE_CASE       =    self_attention
									_SCREAMING_SNAKE_CASE       =    bias

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









from __future__ import annotations

from string import ascii_letters

def 			__lowerCamelCase     (						snake_case__			,snake_case__			,snake_case__ = None						)				->    str:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE       =    alphabet or ascii_letters

						# The final result string
						_SCREAMING_SNAKE_CASE       =    """"""

						for character in input_string:
												if character not in alpha:
																		# Append without encryption if character is not in the alphabet
																		result += character
												else:
																		# Get the index of the new key and make sure it isn't too large
																		_SCREAMING_SNAKE_CASE       =    (alpha.index(snake_case__						) + key) % len(snake_case__						)

																		# Append the encoded character to the alphabet
																		result += alpha[new_key]

						return result

def 			__lowerCamelCase     (						snake_case__			,snake_case__			,snake_case__ = None						)				->    str:






						"""simple docstring"""





						key *= -1

						return encrypt(snake_case__			,snake_case__			,snake_case__						)

def 			__lowerCamelCase     (						snake_case__			,snake_case__ = None						)				->    dict[int, str]:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE       =    alphabet or ascii_letters

						# To store data on all the combinations
						_SCREAMING_SNAKE_CASE       =    {}

						# Cycle through each combination
						for key in range(1			,len(snake_case__						) + 1						):
												# Decrypt the message and store the result in the data
												_SCREAMING_SNAKE_CASE       =    decrypt(snake_case__			,snake_case__			,snake_case__						)

						return brute_force_data


if __name__ == "__main__":
		while True:
				print(f"\n{'-' * 10}\n Menu\n{'-' * 10}")
				print(*['''1.Encrypt''', '''2.Decrypt''', '''3.BruteForce''', '''4.Quit'''], sep='''\n''')

				# get user input
				UpperCamelCase												=      input('''\nWhat would you like to do?: ''').strip() or '''4'''

				# run functions based on what the user chose
				if choice not in ("1", "2", "3", "4"):
						print('''Invalid choice, please enter a valid choice''')
				elif choice == "1":
						UpperCamelCase												=      input('''Please enter the string to be encrypted: ''')
						UpperCamelCase												=      int(input('''Please enter off-set: ''').strip())

						print(encrypt(input_string, key))
				elif choice == "2":
						UpperCamelCase												=      input('''Please enter the string to be decrypted: ''')
						UpperCamelCase												=      int(input('''Please enter off-set: ''').strip())

						print(decrypt(input_string, key))
				elif choice == "3":
						UpperCamelCase												=      input('''Please enter the string to be decrypted: ''')
						UpperCamelCase												=      brute_force(input_string)

						for key, value in brute_force_data.items():
								print(f"Key: {key} | Message: {value}")

				elif choice == "4":
						print('''Goodbye.''')
						break

