





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


UpperCAmelCase__    :      Optional[int]       					=logging.get_logger(__name__)

UpperCAmelCase__    :      List[Any]       					={
    # 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    __A  (    _UpperCAmelCase     ):
				__A  =					"graphormer"
				__A  =					["past_key_values"]


				def __init__(		self ,			UpperCAmelCase_ = 1 ,			UpperCAmelCase_ = 512 * 9 ,			UpperCAmelCase_ = 512 * 3 ,			UpperCAmelCase_ = 512 ,			UpperCAmelCase_ = 512 ,			UpperCAmelCase_ = 512 ,			UpperCAmelCase_ = 128 ,			UpperCAmelCase_ = 5 ,			UpperCAmelCase_ = 1024 ,			UpperCAmelCase_ = "multi_hop" ,			UpperCAmelCase_ = 512 ,			UpperCAmelCase_ = False ,			UpperCAmelCase_ = 12 ,			UpperCAmelCase_ = 768 ,			UpperCAmelCase_ = 768 ,			UpperCAmelCase_ = 32 ,			UpperCAmelCase_ = 0.1 ,			UpperCAmelCase_ = 0.1 ,			UpperCAmelCase_ = 0.0 ,			UpperCAmelCase_ = False ,			UpperCAmelCase_ = False ,			UpperCAmelCase_ = False ,			UpperCAmelCase_ = "gelu" ,			UpperCAmelCase_ = None ,			UpperCAmelCase_ = False ,			UpperCAmelCase_ = 0 ,			UpperCAmelCase_ = False ,			UpperCAmelCase_ = 0.0 ,			UpperCAmelCase_ = 8 ,			UpperCAmelCase_ = None ,			UpperCAmelCase_ = None ,			UpperCAmelCase_ = True ,			UpperCAmelCase_ = True ,			UpperCAmelCase_=0 ,			UpperCAmelCase_=1 ,			UpperCAmelCase_=2 ,			**UpperCAmelCase_ ,			):
								lowerCamelCase									=num_classes
								lowerCamelCase									=num_atoms
								lowerCamelCase									=num_in_degree
								lowerCamelCase									=num_out_degree
								lowerCamelCase									=num_edges
								lowerCamelCase									=num_spatial
								lowerCamelCase									=num_edge_dis
								lowerCamelCase									=edge_type
								lowerCamelCase									=multi_hop_max_dist
								lowerCamelCase									=spatial_pos_max
								lowerCamelCase									=max_nodes
								lowerCamelCase									=num_hidden_layers
								lowerCamelCase									=embedding_dim
								lowerCamelCase									=embedding_dim
								lowerCamelCase									=ffn_embedding_dim
								lowerCamelCase									=num_attention_heads
								lowerCamelCase									=dropout
								lowerCamelCase									=attention_dropout
								lowerCamelCase									=layerdrop
								lowerCamelCase									=encoder_normalize_before
								lowerCamelCase									=pre_layernorm
								lowerCamelCase									=apply_graphormer_init
								lowerCamelCase									=activation_fn
								lowerCamelCase									=embed_scale
								lowerCamelCase									=freeze_embeddings
								lowerCamelCase									=num_trans_layers_to_freeze
								lowerCamelCase									=share_input_output_embed
								lowerCamelCase									=traceable
								lowerCamelCase									=q_noise
								lowerCamelCase									=qn_block_size

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

