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


__lowerCamelCase					:	List[Any]       =  logging.get_logger(__name__)

__lowerCamelCase					:	List[str]       =  {
    '''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 		a__						(					A__					):
					A	       =							'rwkv'
					A	       =							{'max_position_embeddings': 'context_length'}

					def __init__(    self      :       List[Any],_A      :       int=5_0277,_A      :       Any=1024,_A      :       List[str]=4096,_A      :       Union[str, Any]=32,_A      :       List[str]=None,_A      :       List[str]=None,_A      :       Optional[int]=1E-5,_A      :       Any=0,_A      :       Any=0,_A      :       Any=6,_A      :       Any=False,_A      :       Any=True,**_A      :       Optional[Any],):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		int				      =    vocab_size
							SCREAMING_SNAKE_CASE_  :		List[Any]				      =    context_length
							SCREAMING_SNAKE_CASE_  :		int				      =    hidden_size
							SCREAMING_SNAKE_CASE_  :		List[Any]				      =    num_hidden_layers
							SCREAMING_SNAKE_CASE_  :		str				      =    attention_hidden_size if attention_hidden_size is not None else hidden_size
							SCREAMING_SNAKE_CASE_  :		str				      =    intermediate_size if intermediate_size is not None else 4 * hidden_size
							SCREAMING_SNAKE_CASE_  :		Tuple				      =    layer_norm_epsilon
							SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    rescale_every
							SCREAMING_SNAKE_CASE_  :		str				      =    use_cache

							SCREAMING_SNAKE_CASE_  :		Any				      =    bos_token_id
							SCREAMING_SNAKE_CASE_  :		int				      =    eos_token_id

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





'''simple docstring'''




from collections import deque
from math import floor
from random import random
from time import time







class 	_lowerCAmelCase							:


	def __init__(self							):
				A_	:						int	=     {}


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase=1							):
				if self.graph.get(lowercase							):
							if self.graph[u].count([w, v]							) == 0:
										self.graph[u].append([w, v]							)
				else:
							A_	:						Tuple	=     [[w, v]]
				if not self.graph.get(lowercase							):
							A_	:						Union[str, Any]	=     []


	def     _a	(self							):
				return list(self.graph							)


	def     _a	(self       ,      lowercase       ,      lowercase							):
				if self.graph.get(lowercase							):
							for _ in self.graph[u]:
										if _[1] == v:
													self.graph[u].remove(lowercase							)


	def     _a	(self       ,      lowercase=-2       ,      lowercase=-1							):
				if s == d:
							return []
				A_	:						Union[str, Any]	=     []
				A_	:						Dict	=     []
				if s == -2:
							A_	:						List[Any]	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						Any	=     s

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Tuple	=     s
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																if node[1] == d:
																			visited.append(lowercase							)
																			return visited
																else:
																			stack.append(node[1]							)
																			visited.append(node[1]							)
																			A_	:						List[Any]	=     node[1]
																			break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										if len(lowercase							) != 0:
													A_	:						List[str]	=     stack[len(lowercase							) - 1]
							else:
										A_	:						str	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return visited


	def     _a	(self       ,      lowercase=-1							):
				if c == -1:
							A_	:						Tuple	=     floor(random() * 10000							) + 10
				for i in range(lowercase							):
							# every vertex has max 100 edges
							for _ in range(floor(random() * 102							) + 1							):
										A_	:						List[str]	=     floor(random() * c							) + 1
										if n != i:
													self.add_pair(lowercase       ,      lowercase       ,      1							)


	def     _a	(self       ,      lowercase=-2							):
				A_	:						Union[str, Any]	=     deque()
				A_	:						Tuple	=     []
				if s == -2:
							A_	:						int	=     list(self.graph							)[0]
				d.append(lowercase							)
				visited.append(lowercase							)
				while d:
							A_	:						Any	=     d.popleft()
							if len(self.graph[s]							) != 0:
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																d.append(node[1]							)
																visited.append(node[1]							)
				return visited


	def     _a	(self       ,      lowercase							):
				A_	:						Dict	=     0
				for x in self.graph:
							for y in self.graph[x]:
										if y[1] == u:
													count += 1
				return count


	def     _a	(self       ,      lowercase							):
				return len(self.graph[u]							)


	def     _a	(self       ,      lowercase=-2							):
				A_	:						Dict	=     []
				A_	:						Optional[Any]	=     []
				if s == -2:
							A_	:						int	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						Optional[Any]	=     s
				A_	:						int	=     []

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Optional[int]	=     s
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						Optional[Any]	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										sorted_nodes.append(stack.pop()							)
										if len(lowercase							) != 0:
													A_	:						int	=     stack[len(lowercase							) - 1]
							else:
										A_	:						Optional[Any]	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return sorted_nodes


	def     _a	(self							):
				A_	:						Dict	=     []
				A_	:						Tuple	=     []
				A_	:						Any	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						Optional[int]	=     -2
				A_	:						List[Any]	=     []
				A_	:						List[str]	=     s
				A_	:						Optional[int]	=     False
				A_	:						Union[str, Any]	=     set()

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						List[Any]	=     s
										for node in self.graph[s]:
													if (
													    visited.count(node[1]							) > 0
													    and node[1] != parent
													    and indirect_parents.count(node[1]							) > 0
													    and not on_the_way_back
													):
																A_	:						Dict	=     len(lowercase							) - 1
																while len_stack >= 0:
																			if stack[len_stack] == node[1]:
																						anticipating_nodes.add(node[1]							)
																						break
																			else:
																						anticipating_nodes.add(stack[len_stack]							)
																						len_stack -= 1
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						List[str]	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										A_	:						str	=     True
										if len(lowercase							) != 0:
													A_	:						Union[str, Any]	=     stack[len(lowercase							) - 1]
							else:
										A_	:						Tuple	=     False
										indirect_parents.append(lowercase							)
										A_	:						Tuple	=     s
										A_	:						Tuple	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return list(lowercase							)


	def     _a	(self							):
				A_	:						Union[str, Any]	=     []
				A_	:						str	=     []
				A_	:						List[Any]	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						List[Any]	=     -2
				A_	:						Tuple	=     []
				A_	:						Optional[Any]	=     s
				A_	:						Union[str, Any]	=     False
				A_	:						Optional[Any]	=     set()

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						int	=     s
										for node in self.graph[s]:
													if (
													    visited.count(node[1]							) > 0
													    and node[1] != parent
													    and indirect_parents.count(node[1]							) > 0
													    and not on_the_way_back
													):
																A_	:						Dict	=     len(lowercase							) - 1
																while len_stack_minus_one >= 0:
																			if stack[len_stack_minus_one] == node[1]:
																						anticipating_nodes.add(node[1]							)
																						break
																			else:
																						return True
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						Optional[Any]	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										A_	:						List[str]	=     True
										if len(lowercase							) != 0:
													A_	:						Dict	=     stack[len(lowercase							) - 1]
							else:
										A_	:						int	=     False
										indirect_parents.append(lowercase							)
										A_	:						List[Any]	=     s
										A_	:						int	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return False


	def     _a	(self       ,      lowercase=-2       ,      lowercase=-1							):
				A_	:						str	=     time()
				self.dfs(lowercase       ,      lowercase							)
				A_	:						Any	=     time()
				return end - begin


	def     _a	(self       ,      lowercase=-2							):
				A_	:						Union[str, Any]	=     time()
				self.bfs(lowercase							)
				A_	:						Optional[Any]	=     time()
				return end - begin







class 	_lowerCAmelCase							:


	def __init__(self							):
				A_	:						List[str]	=     {}


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase=1							):
				# check if the u exists
				if self.graph.get(lowercase							):
							# if there already is a edge
							if self.graph[u].count([w, v]							) == 0:
										self.graph[u].append([w, v]							)
				else:
							# if u does not exist
							A_	:						int	=     [[w, v]]
				# add the other way
				if self.graph.get(lowercase							):
							# if there already is a edge
							if self.graph[v].count([w, u]							) == 0:
										self.graph[v].append([w, u]							)
				else:
							# if u does not exist
							A_	:						Any	=     [[w, u]]


	def     _a	(self       ,      lowercase       ,      lowercase							):
				if self.graph.get(lowercase							):
							for _ in self.graph[u]:
										if _[1] == v:
													self.graph[u].remove(lowercase							)
        # the other way round
				if self.graph.get(lowercase							):
							for _ in self.graph[v]:
										if _[1] == u:
													self.graph[v].remove(lowercase							)


	def     _a	(self       ,      lowercase=-2       ,      lowercase=-1							):
				if s == d:
							return []
				A_	:						Dict	=     []
				A_	:						List[Any]	=     []
				if s == -2:
							A_	:						str	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						List[str]	=     s

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Union[str, Any]	=     s
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																if node[1] == d:
																			visited.append(lowercase							)
																			return visited
																else:
																			stack.append(node[1]							)
																			visited.append(node[1]							)
																			A_	:						Optional[Any]	=     node[1]
																			break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										if len(lowercase							) != 0:
													A_	:						Dict	=     stack[len(lowercase							) - 1]
							else:
										A_	:						List[str]	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return visited


	def     _a	(self       ,      lowercase=-1							):
				if c == -1:
							A_	:						Union[str, Any]	=     floor(random() * 10000							) + 10
				for i in range(lowercase							):
							# every vertex has max 100 edges
							for _ in range(floor(random() * 102							) + 1							):
										A_	:						Union[str, Any]	=     floor(random() * c							) + 1
										if n != i:
													self.add_pair(lowercase       ,      lowercase       ,      1							)


	def     _a	(self       ,      lowercase=-2							):
				A_	:						int	=     deque()
				A_	:						Optional[Any]	=     []
				if s == -2:
							A_	:						Optional[int]	=     list(self.graph							)[0]
				d.append(lowercase							)
				visited.append(lowercase							)
				while d:
							A_	:						Union[str, Any]	=     d.popleft()
							if len(self.graph[s]							) != 0:
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																d.append(node[1]							)
																visited.append(node[1]							)
				return visited


	def     _a	(self       ,      lowercase							):
				return len(self.graph[u]							)


	def     _a	(self							):
				A_	:						Optional[int]	=     []
				A_	:						Dict	=     []
				A_	:						Union[str, Any]	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						List[Any]	=     -2
				A_	:						List[str]	=     []
				A_	:						int	=     s
				A_	:						Optional[int]	=     False
				A_	:						Any	=     set()

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Tuple	=     s
										for node in self.graph[s]:
													if (
													    visited.count(node[1]							) > 0
													    and node[1] != parent
													    and indirect_parents.count(node[1]							) > 0
													    and not on_the_way_back
													):
																A_	:						int	=     len(lowercase							) - 1
																while len_stack >= 0:
																			if stack[len_stack] == node[1]:
																						anticipating_nodes.add(node[1]							)
																						break
																			else:
																						anticipating_nodes.add(stack[len_stack]							)
																						len_stack -= 1
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						Tuple	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										A_	:						str	=     True
										if len(lowercase							) != 0:
													A_	:						Any	=     stack[len(lowercase							) - 1]
							else:
										A_	:						str	=     False
										indirect_parents.append(lowercase							)
										A_	:						Dict	=     s
										A_	:						List[Any]	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return list(lowercase							)


	def     _a	(self							):
				A_	:						Optional[int]	=     []
				A_	:						Optional[int]	=     []
				A_	:						List[str]	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						Any	=     -2
				A_	:						Any	=     []
				A_	:						Tuple	=     s
				A_	:						str	=     False
				A_	:						str	=     set()

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Dict	=     s
										for node in self.graph[s]:
													if (
													    visited.count(node[1]							) > 0
													    and node[1] != parent
													    and indirect_parents.count(node[1]							) > 0
													    and not on_the_way_back
													):
																A_	:						Any	=     len(lowercase							) - 1
																while len_stack_minus_one >= 0:
																			if stack[len_stack_minus_one] == node[1]:
																						anticipating_nodes.add(node[1]							)
																						break
																			else:
																						return True
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						Optional[Any]	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										A_	:						Union[str, Any]	=     True
										if len(lowercase							) != 0:
													A_	:						List[Any]	=     stack[len(lowercase							) - 1]
							else:
										A_	:						int	=     False
										indirect_parents.append(lowercase							)
										A_	:						int	=     s
										A_	:						int	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return False


	def     _a	(self							):
				return list(self.graph							)


	def     _a	(self       ,      lowercase=-2       ,      lowercase=-1							):
				A_	:						Any	=     time()
				self.dfs(lowercase       ,      lowercase							)
				A_	:						Optional[Any]	=     time()
				return end - begin


	def     _a	(self       ,      lowercase=-2							):
				A_	:						List[Any]	=     time()
				self.bfs(lowercase							)
				A_	:						List[Any]	=     time()
				return end - begin