






"""simple docstring"""
from __future__ import annotations

def 				snake_case      (   A__	,A__						):
			print(F"""Vertex\tShortest Distance from vertex {src}"""						)
			for i, d in enumerate(A__						):
						print(F"""{i}\t\t{d}"""						)

def 				snake_case      (   A__	,A__	,A__						):
			for j in range(A__						):
						UpperCAmelCase_     ,	UpperCAmelCase_     ,	UpperCAmelCase_     : Any			     =					(graph[j][k] for k in ["src", "dst", "weight"])
						if distance[u] != float("inf"						) and distance[u] + w < distance[v]:
									return True
			return False

def 				snake_case      (   A__	,A__	,A__	,A__						):
			UpperCAmelCase_     : Any			     =					[float("inf"						)] * vertex_count
			UpperCAmelCase_     : int			     =					0.0

			for _ in range(vertex_count - 1						):
						for j in range(A__						):
									UpperCAmelCase_     ,	UpperCAmelCase_     ,	UpperCAmelCase_     : str			     =					(graph[j][k] for k in ["src", "dst", "weight"])

									if distance[u] != float("inf"						) and distance[u] + w < distance[v]:
												UpperCAmelCase_     : List[Any]			     =					distance[u] + w

			UpperCAmelCase_     : int			     =					check_negative_cycle(A__	,A__	,A__						)
			if negative_cycle_exists:
						raise Exception("Negative cycle found"						)

			return distance


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			lowerCamelCase_					=      int(input('''Enter number of vertices: ''').strip())
			lowerCamelCase_					=      int(input('''Enter number of edges: ''').strip())

			lowerCamelCase_					=      [{} for _ in range(E)]

			for i in range(E):
						print('''Edge ''', i + 1)
						lowerCamelCase_	,		lowerCamelCase_	,		lowerCamelCase_					=      (
						    int(x)
						    for x in input('''Enter source, destination, weight: ''').strip().split(''' ''')
						)
						lowerCamelCase_					=      {'''src''': src, '''dst''': dest, '''weight''': weight}

			lowerCamelCase_					=      int(input('''\nEnter shortest path source:''').strip())
			lowerCamelCase_					=      bellman_ford(graph, V, E, source)
			print_distance(shortest_distance, 0)











"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase_					=      logging.get_logger(__name__)

lowerCamelCase_					=      {
    '''RWKV/rwkv-4-169m-pile''': '''https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-430m-pile''': '''https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-1b5-pile''': '''https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-3b-pile''': '''https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-7b-pile''': '''https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-14b-pile''': '''https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-raven-1b5''': '''https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json''',
    '''RWKV/rwkv-raven-3b''': '''https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-7b''': '''https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-14b''': '''https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json''',
}







class 			UpperCamelCase_       (__A     ):
	__magic_name__	      =				'''rwkv'''
	__magic_name__	      =				{'''max_position_embeddings''': '''context_length'''}





	def __init__(      self					: str	,	lowerCAmelCase_					: str=50_277	,	lowerCAmelCase_					: Optional[int]=1_024	,	lowerCAmelCase_					: Optional[int]=4_096	,	lowerCAmelCase_					: Union[str, Any]=32	,	lowerCAmelCase_					: List[Any]=None	,	lowerCAmelCase_					: int=None	,	lowerCAmelCase_					: List[Any]=1e-5	,	lowerCAmelCase_					: str=0	,	lowerCAmelCase_					: Tuple=0	,	lowerCAmelCase_					: int=6	,	lowerCAmelCase_					: Optional[Any]=False	,	lowerCAmelCase_					: Any=True	,	**lowerCAmelCase_					: List[Any]	,	)						->			List[str]:
				UpperCAmelCase_     : Tuple			     =					vocab_size
				UpperCAmelCase_     : List[str]			     =					context_length
				UpperCAmelCase_     : Dict			     =					hidden_size
				UpperCAmelCase_     : Optional[int]			     =					num_hidden_layers
				UpperCAmelCase_     : Optional[int]			     =					attention_hidden_size if attention_hidden_size is not None else hidden_size
				UpperCAmelCase_     : Dict			     =					intermediate_size if intermediate_size is not None else 4 * hidden_size
				UpperCAmelCase_     : Any			     =					layer_norm_epsilon
				UpperCAmelCase_     : List[Any]			     =					rescale_every
				UpperCAmelCase_     : List[str]			     =					use_cache

				UpperCAmelCase_     : List[str]			     =					bos_token_id
				UpperCAmelCase_     : Union[str, Any]			     =					eos_token_id

				super().__init__(
				    tie_word_embeddings=lowerCAmelCase_	,	bos_token_id=lowerCAmelCase_	,	eos_token_id=lowerCAmelCase_	,	**lowerCAmelCase_						)



