
import math
import sys


class 		__magic_name__   :





		def __init__(							self    :	Any				):
							lowerCAmelCase		:					int  	=     0
							lowerCAmelCase		:					str  	=     []
							lowerCAmelCase		:					Optional[Any]  	=     {}  # To store the pos of node in array





		def       _A							(							self    :	List[Any]				):
							return self.cur_size == 0





		def       _A							(							self    :	Tuple						,  lowerCamelCase__    :	List[str]				):
							lowerCAmelCase		:					Any  	=     self.left(lowerCamelCase__				)
							lowerCAmelCase		:					Dict  	=     self.right(lowerCamelCase__				)
							if lc < self.cur_size and self.array(lowerCamelCase__				)[0] < self.array(lowerCamelCase__				)[0]:
												lowerCAmelCase		:					List[str]  	=     lc
							else:
												lowerCAmelCase		:					Any  	=     idx
							if rc < self.cur_size and self.array(lowerCamelCase__				)[0] < self.array(lowerCamelCase__				)[0]:
												lowerCAmelCase		:					Tuple  	=     rc
							if smallest != idx:
												self.swap(lowerCamelCase__						,  lowerCamelCase__				)
												self.min_heapify(lowerCamelCase__				)





		def       _A							(							self    :	Any						,  lowerCamelCase__    :	int				):
							# Inserts a node into the Priority Queue
							lowerCAmelCase		:					int  	=     self.cur_size
							self.cur_size += 1
							self.array.append((sys.maxsize, tup[1])				)
							self.decrease_key((sys.maxsize, tup[1])						,  tup[0]				)





		def       _A							(							self    :	Tuple				):
							# Removes and returns the min element at top of priority queue
							lowerCAmelCase		:					Optional[int]  	=     self.array[0][1]
							lowerCAmelCase		:					int  	=     self.array[self.cur_size - 1]
							self.cur_size -= 1
							self.min_heapify(1				)
							del self.pos[min_node]
							return min_node





		def       _A							(							self    :	Optional[Any]						,  lowerCamelCase__    :	str				):
							# returns the index of left child
							return 2 * i + 1





		def       _A							(							self    :	Dict						,  lowerCamelCase__    :	List[str]				):
							# returns the index of right child
							return 2 * i + 2





		def       _A							(							self    :	Dict						,  lowerCamelCase__    :	Optional[Any]				):
							# returns the index of parent
							return math.floor(i / 2				)





		def       _A							(							self    :	Tuple						,  lowerCamelCase__    :	List[str]						,  lowerCamelCase__    :	Any				):
							# swaps array elements at indices i and j
							# update the pos{}
							lowerCAmelCase		:					Optional[Any]  	=     j
							lowerCAmelCase		:					str  	=     i
							lowerCAmelCase		:					List[Any]  	=     self.array[i]
							lowerCAmelCase		:					Optional[Any]  	=     self.array[j]
							lowerCAmelCase		:					Any  	=     temp





		def       _A							(							self    :	Any						,  lowerCamelCase__    :	Any						,  lowerCamelCase__    :	int				):
							lowerCAmelCase		:					Dict  	=     self.pos[tup[1]]
							# assuming the new_d is atmost old_d
							lowerCAmelCase		:					int  	=     (new_d, tup[1])
							while idx > 0 and self.array[self.par(lowerCamelCase__				)][0] > self.array[idx][0]:
												self.swap(lowerCamelCase__						,  self.par(lowerCamelCase__				)				)
												lowerCAmelCase		:					Tuple  	=     self.par(lowerCamelCase__				)



class 		__magic_name__   :





		def __init__(							self    :	Tuple						,  lowerCamelCase__    :	Any				):
							lowerCAmelCase		:					List[Any]  	=     {}  # To store graph: u -> (v,w)
							lowerCAmelCase		:					Optional[Any]  	=     num  # Number of nodes in graph
							# To store the distance from source vertex
							lowerCAmelCase		:					Union[str, Any]  	=     [0] * self.num_nodes
							lowerCAmelCase		:					Dict  	=     [-1] * self.num_nodes  # To store the path





		def       _A							(							self    :	Optional[Any]						,  lowerCamelCase__    :	int						,  lowerCamelCase__    :	Dict						,  lowerCamelCase__    :	Union[str, Any]				):
							#  Edge going from node u to v and v to u with weight w
							# u (w)-> v, v (w) -> u
							# Check if u already in graph
							if u in self.adjList:
												self.adjList[u].append((v, w)				)
							else:
												lowerCAmelCase		:					Optional[int]  	=     [(v, w)]

							# Assuming undirected graph
							if v in self.adjList:
												self.adjList[v].append((u, w)				)
							else:
												lowerCAmelCase		:					List[Any]  	=     [(u, w)]





		def       _A							(							self    :	Dict				):
							# u -> v(w)
							for u in self.adjList:
												print(lowerCamelCase__						,  '''->'''						,  ''' -> '''.join(str(f'''{v}({w})'''				) for v, w in self.adjList[u]				)				)





		def       _A							(							self    :	Optional[int]						,  lowerCamelCase__    :	Dict				):
							# Flush old junk values in par[]
							lowerCAmelCase		:					Optional[int]  	=     [-1] * self.num_nodes
							# src is the source node
							lowerCAmelCase		:					Optional[Any]  	=     0
							lowerCAmelCase		:					Any  	=     PriorityQueue()
							q.insert((0, src)				)  # (dist from src, node)
							for u in self.adjList:
												if u != src:
																	lowerCAmelCase		:					Dict  	=     sys.maxsize  # Infinity
																	lowerCAmelCase		:					List[Any]  	=     -1

							while not q.is_empty():
												lowerCAmelCase		:					str  	=     q.extract_min()  # Returns node with the min dist from source
												# Update the distance of all the neighbours of u and
												# if their prev dist was INFINITY then push them in Q
												for v, w in self.adjList[u]:
																	lowerCAmelCase		:					Tuple  	=     self.dist[u] + w
																	if self.dist[v] > new_dist:
																						if self.dist[v] == sys.maxsize:
																											q.insert((new_dist, v)				)
																						else:
																											q.decrease_key((self.dist[v], v)						,  lowerCamelCase__				)
																						lowerCAmelCase		:					Tuple  	=     new_dist
																						lowerCAmelCase		:					List[str]  	=     u

        # Show the shortest distances from src
							self.show_distances(lowerCamelCase__				)





		def       _A							(							self    :	str						,  lowerCamelCase__    :	Any				):
							print(f'''Distance from node: {src}'''				)
							for u in range(self.num_nodes				):
												print(f'''Node {u} has distance: {self.dist[u]}'''				)





		def       _A							(							self    :	Optional[Any]						,  lowerCamelCase__    :	int						,  lowerCamelCase__    :	Any				):
							# To show the shortest path from src to dest
							# WARNING: Use it *after* calling dijkstra
							lowerCAmelCase		:					List[Any]  	=     []
							lowerCAmelCase		:					Union[str, Any]  	=     0
							lowerCAmelCase		:					List[str]  	=     dest
							# Backtracking from dest to src
							while self.par[temp] != -1:
												path.append(lowerCamelCase__				)
												if temp != src:
																	for v, w in self.adjList[temp]:
																						if v == self.par[temp]:
																											cost += w
																											break
												lowerCAmelCase		:					str  	=     self.par[temp]
							path.append(lowerCamelCase__				)
							path.reverse()

							print(f'''----Path to reach {dest} from {src}----'''				)
							for u in path:
												print(f'''{u}'''						,  end=''' '''				)
												if u != dest:
																	print('''-> '''						,  end=''''''				)

							print('''\nTotal cost of path: '''						,  lowerCamelCase__				)


if __name__ == "__main__":
		__SCREAMING_SNAKE_CASE			:   List[str]         =     Graph(9)
		graph.add_edge(0, 1, 4)
		graph.add_edge(0, 7, 8)
		graph.add_edge(1, 2, 8)
		graph.add_edge(1, 7, 11)
		graph.add_edge(2, 3, 7)
		graph.add_edge(2, 8, 2)
		graph.add_edge(2, 5, 4)
		graph.add_edge(3, 4, 9)
		graph.add_edge(3, 5, 14)
		graph.add_edge(4, 5, 10)
		graph.add_edge(5, 6, 2)
		graph.add_edge(6, 7, 1)
		graph.add_edge(6, 8, 6)
		graph.add_edge(7, 8, 7)
		graph.show_graph()
		graph.dijkstra(0)
		graph.show_path(0, 4)

# OUTPUT
# 0 -> 1(4) -> 7(8)
# 1 -> 0(4) -> 2(8) -> 7(11)
# 7 -> 0(8) -> 1(11) -> 6(1) -> 8(7)
# 2 -> 1(8) -> 3(7) -> 8(2) -> 5(4)
# 3 -> 2(7) -> 4(9) -> 5(14)
# 8 -> 2(2) -> 6(6) -> 7(7)
# 5 -> 2(4) -> 3(14) -> 4(10) -> 6(2)
# 4 -> 3(9) -> 5(10)
# 6 -> 5(2) -> 7(1) -> 8(6)
# Distance from node: 0
# Node 0 has distance: 0
# Node 1 has distance: 4
# Node 2 has distance: 12
# Node 3 has distance: 19
# Node 4 has distance: 21
# Node 5 has distance: 11
# Node 6 has distance: 9
# Node 7 has distance: 8
# Node 8 has distance: 14
# ----Path to reach 4 from 0----
# 0 -> 7 -> 6 -> 5 -> 4
# Total cost of path:  21


import os
from shutil import copyfile
from typing import TYPE_CHECKING, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
from ...utils.versions import require_version


if TYPE_CHECKING:
		from transformers.pipelines.conversational import Conversation

require_version('tokenizers>=0.13.3')

if is_sentencepiece_available():
		from .tokenization_llama import LlamaTokenizer
else:
		__SCREAMING_SNAKE_CASE			:   int         =     None

__SCREAMING_SNAKE_CASE			:   List[Any]         =     logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE			:   Optional[int]         =     {'vocab_file': 'tokenizer.model', 'tokenizer_file': 'tokenizer.json'}

__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE			:   Dict         =     '[INST]', '[/INST]'
__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE			:   List[Any]         =     '<<SYS>>\n', '\n<</SYS>>\n\n'

# fmt: off
__SCREAMING_SNAKE_CASE			:   List[Any]         =     'You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\\nanswers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\\nthat your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not\\ncorrect. If you don\'t know the answer to a question, please don\'t share false information.'


class 		__magic_name__   (						snake_case    ):
		_lowerCAmelCase		=	VOCAB_FILES_NAMES
		_lowerCAmelCase		=	LlamaTokenizer
		_lowerCAmelCase		=	"left"
		_lowerCAmelCase		=	["input_ids", "attention_mask"]





		def __init__(							self    :	List[Any]						,  lowerCamelCase__    :	int=None						,  lowerCamelCase__    :	Union[str, Any]=None						,  lowerCamelCase__    :	List[str]=False						,  lowerCamelCase__    :	int="<unk>"						,  lowerCamelCase__    :	int="<s>"						,  lowerCamelCase__    :	str="</s>"						,  lowerCamelCase__    :	Optional[Any]=True						,  lowerCamelCase__    :	int=False						,  **lowerCamelCase__    :	List[str]						,  ):
							super().__init__(
							    vocab_file=lowerCamelCase__						,  tokenizer_file=lowerCamelCase__						,  clean_up_tokenization_spaces=lowerCamelCase__						,  unk_token=lowerCamelCase__						,  bos_token=lowerCamelCase__						,  eos_token=lowerCamelCase__						,  **lowerCamelCase__						,  )
							lowerCAmelCase		:					Optional[int]  	=     add_bos_token
							lowerCAmelCase		:					int  	=     add_eos_token
							self.update_post_processor()

							lowerCAmelCase		:					List[Any]  	=     vocab_file
							lowerCAmelCase		:					List[str]  	=     False if not self.vocab_file else True





		def       _A							(							self    :	Tuple				):
							lowerCAmelCase		:					List[str]  	=     self.bos_token
							lowerCAmelCase		:					Optional[Any]  	=     self.bos_token_id

							lowerCAmelCase		:					Optional[Any]  	=     self.eos_token
							lowerCAmelCase		:					List[str]  	=     self.eos_token_id

							lowerCAmelCase		:					Dict  	=     f'''{(bos+":0 ") * self.add_bos_token}$A:0{(" "+eos+":0") * self.add_eos_token}'''
							lowerCAmelCase		:					Optional[int]  	=     f'''{single}{(" "+bos+":1") * self.add_bos_token} $B:1{(" "+eos+":1") * self.add_eos_token}'''

							lowerCAmelCase		:					Any  	=     []
							if self.add_bos_token:
												special_tokens.append((bos, bos_token_id)				)
							if self.add_eos_token:
												special_tokens.append((eos, eos_token_id)				)
							lowerCAmelCase		:					Union[str, Any]  	=     processors.TemplateProcessing(
							    single=lowerCamelCase__						,  pair=lowerCamelCase__						,  special_tokens=lowerCamelCase__				)





		@property
		def       _A							(							self    :	str				):
							return self._add_eos_token





		@property
		def       _A							(							self    :	Dict				):
							return self._add_bos_token





		@add_eos_token.setter
		def       _A							(							self    :	Union[str, Any]						,  lowerCamelCase__    :	str				):
							lowerCAmelCase		:					Any  	=     value
							self.update_post_processor()





		@add_bos_token.setter
		def       _A							(							self    :	Dict						,  lowerCamelCase__    :	Optional[Any]				):
							lowerCAmelCase		:					List[Any]  	=     value
							self.update_post_processor()





		def       _A							(							self    :	int						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	Optional[str] = None				):
							if not self.can_save_slow_tokenizer:
												raise ValueError(
												    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
												    '''tokenizer.'''				)

							if not os.path.isdir(lowerCamelCase__				):
												logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''				)
												return
							lowerCAmelCase		:					str  	=     os.path.join(
							    lowerCamelCase__						,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

							if os.path.abspath(self.vocab_file				) != os.path.abspath(lowerCamelCase__				):
												copyfile(self.vocab_file						,  lowerCamelCase__				)

							return (out_vocab_file,)





		def       _A							(							self    :	Any						,  lowerCamelCase__    :	"Conversation"				):
							lowerCAmelCase		:					int  	=     list(conversation.iter_texts()				)
							if not all([is_user for is_user, msg in dialogue[::2]]				) or not all(
							    [not is_user for is_user, msg in dialogue[1::2]]				):
												raise ValueError(
												    '''The model only supports \'user\' and \'assistant\' roles, starting with user and alternating (u/a/u/a/u...)'''				)

							lowerCAmelCase		:					List[str]  	=     []
							if len(conversation.past_user_inputs				) > 0:
												if not conversation.past_user_inputs[0].startswith(lowerCamelCase__				) or E_SYS not in conversation.past_user_inputs[0]:
																	lowerCAmelCase		:					Tuple  	=     (
																	    B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
																	)
							elif not dialogue[0][1].startswith(lowerCamelCase__				) or E_SYS not in dialogue[0][1]:
												lowerCAmelCase		:					Optional[Any]  	=     (dialogue[0][0], B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + dialogue[0][1])

							dialog_tokens += sum(
							    [
							        [self.bos_token_id]
							        + self.encode(
							            f'''{B_INST} {(prompt[1]).strip()} {E_INST} {(answer[1]).strip()} '''						,  add_special_tokens=lowerCamelCase__				)
							        + [self.eos_token_id]
							        for prompt, answer in zip(dialogue[::2]						,  dialogue[1::2]				)
							    ]						,  []						,  )
							if not (dialogue[-1][0]):
												raise ValueError(f'''Last message must be from user, got {dialogue[-1]["role"]}'''				)
							dialog_tokens += [self.bos_token_id] + self.encode(
							    f'''{B_INST} {(dialogue[-1][1]).strip()} {E_INST}'''						,  add_special_tokens=lowerCamelCase__				)
							return dialog_tokens
