

'''simple docstring'''

from typing import Callable, Optional, Union

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


a       :      str  	=			logging.get_logger(__name__)

a       :      Optional[Any]  	=			{
    "microsoft/prophetnet-large-uncased": (
        "https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json"
    ),
}







class   UpperCamelCase__   (       _a       ):


		"""simple docstring"""

		SCREAMING_SNAKE_CASE__  :     List[Any]       =							'''prophetnet'''
		SCREAMING_SNAKE_CASE__  :     Tuple       =							['''past_key_values''']
		SCREAMING_SNAKE_CASE__  :     Tuple       =							{
		    '''num_attention_heads''': '''num_encoder_attention_heads''',
		}







		def __init__(			self   ,      snake_case = 0.1   ,      snake_case = "gelu"   ,      snake_case = 3_0_5_2_2   ,      snake_case = 1_0_2_4   ,      snake_case = 4_0_9_6   ,      snake_case = 1_2   ,      snake_case = 1_6   ,      snake_case = 4_0_9_6   ,      snake_case = 1_2   ,      snake_case = 1_6   ,      snake_case = 0.1   ,      snake_case = 0.1   ,      snake_case = 5_1_2   ,      snake_case = 0.02   ,      snake_case = True   ,      snake_case = True   ,      snake_case = 0   ,      snake_case = 2   ,      snake_case = 3_2   ,      snake_case = 1_2_8   ,      snake_case = False   ,      snake_case = 0.0   ,      snake_case = True   ,      snake_case = 0   ,      snake_case = 1   ,      snake_case = 2   ,      **snake_case   ,      ):


							'''simple docstring'''

							UpperCAmelCase		:							Optional[Any]        =       vocab_size
							UpperCAmelCase		:							Dict        =       hidden_size
							UpperCAmelCase		:							int        =       encoder_ffn_dim
							UpperCAmelCase		:							Optional[int]        =       num_encoder_layers
							UpperCAmelCase		:							Optional[Any]        =       num_encoder_attention_heads
							UpperCAmelCase		:							List[Any]        =       decoder_ffn_dim
							UpperCAmelCase		:							Dict        =       num_decoder_layers
							UpperCAmelCase		:							str        =       num_decoder_attention_heads
							UpperCAmelCase		:							Union[str, Any]        =       max_position_embeddings
							UpperCAmelCase		:							Any        =       init_std  # Normal(0, this parameter)
							UpperCAmelCase		:							Optional[Any]        =       activation_function

							# parameters for prophetnet
							UpperCAmelCase		:							Tuple        =       ngram
							UpperCAmelCase		:							int        =       num_buckets
							UpperCAmelCase		:							Union[str, Any]        =       relative_max_distance
							UpperCAmelCase		:							List[Any]        =       disable_ngram_loss
							UpperCAmelCase		:							Tuple        =       eps

							# 3 Types of Dropout
							UpperCAmelCase		:							str        =       attention_dropout
							UpperCAmelCase		:							List[Any]        =       activation_dropout
							UpperCAmelCase		:							Optional[int]        =       dropout

							UpperCAmelCase		:							Dict        =       use_cache

							super().__init__(
							    pad_token_id=SCREAMING_SNAKE_CASE__   ,      bos_token_id=SCREAMING_SNAKE_CASE__   ,      eos_token_id=SCREAMING_SNAKE_CASE__   ,      is_encoder_decoder=SCREAMING_SNAKE_CASE__   ,      add_cross_attention=SCREAMING_SNAKE_CASE__   ,      decoder_start_token_id=SCREAMING_SNAKE_CASE__   ,      **SCREAMING_SNAKE_CASE__   ,      )







		@property
		def 				A_	(			self      ):


							'''simple docstring'''

							return self.num_encoder_layers + self.num_decoder_layers







		@num_hidden_layers.setter
		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							raise NotImplementedError(
							    "This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"
							    " `num_decoder_layers`."      )








'''simple docstring'''

a       :      str  	=			[[0, 1, 1], [0, 0, 1], [1, 0, 0]]







class   UpperCamelCase__   :


		"""simple docstring"""

		def __init__(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Optional[int]        =       name
							UpperCAmelCase		:							Optional[Any]        =       []
							UpperCAmelCase		:							Tuple        =       []







		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							self.inbound.append(snake_case      )







		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							self.outbound.append(snake_case      )







		def __repr__(			self      ):


							'''simple docstring'''

							return f"<node={self.name} inbound={self.inbound} outbound={self.outbound}>"





def 				lowercase (					__magic_name__			,   __magic_name__=3			,   __magic_name__=0.8_5							):



					'''simple docstring'''







					UpperCAmelCase		:							str        =       {}
					for node in nodes:
										UpperCAmelCase		:							Tuple        =       1

					UpperCAmelCase		:							Optional[Any]        =       {}
					for node in nodes:
										UpperCAmelCase		:							List[str]        =       len(node.outbound							)

					for i in range(__magic_name__							):
										print(F"======= Iteration {i + 1} ======="							)
										for _, node in enumerate(__magic_name__							):
															UpperCAmelCase		:							Any        =       (1 - d) + d * sum(
															    ranks[ib] / outbounds[ib] for ib in node.inbound							)
										print(__magic_name__							)





def 				lowercase (					):



					'''simple docstring'''







					UpperCAmelCase		:							Dict        =       list(input("Enter Names of the Nodes: "							).split()							)

					UpperCAmelCase		:							Any        =       [Node(__magic_name__							) for name in names]

					for ri, row in enumerate(__magic_name__							):
										for ci, col in enumerate(__magic_name__							):
															if col == 1:
																				nodes[ci].add_inbound(names[ri]							)
																				nodes[ri].add_outbound(names[ci]							)

					print("======= Nodes ======="							)
					for node in nodes:
										print(__magic_name__							)

					page_rank(__magic_name__							)


if __name__ == "__main__":
				main()
