






import math
import sys


class 			__SCREAMING_SNAKE_CASE    :






						def __init__(		self      ):






												"""simple docstring"""
												lowerCAmelCase__			  =  0
												lowerCAmelCase__			  =  []
												lowerCAmelCase__			  =  {}  # To store the pos of node in array






						def 					UpperCamelCase__					(		self      ):






												"""simple docstring"""
												return self.cur_size == 0






						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase      ):






												"""simple docstring"""
												lowerCAmelCase__			  =  self.left(a__      )
												lowerCAmelCase__			  =  self.right(a__      )
												if lc < self.cur_size and self.array(a__      )[0] < self.array(a__      )[0]:
																		lowerCAmelCase__			  =  lc
												else:
																		lowerCAmelCase__			  =  idx
												if rc < self.cur_size and self.array(a__      )[0] < self.array(a__      )[0]:
																		lowerCAmelCase__			  =  rc
												if smallest != idx:
																		self.swap(a__   ,  a__      )
																		self.min_heapify(a__      )






						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase      ):






												"""simple docstring"""
												lowerCAmelCase__			  =  self.cur_size
												self.cur_size += 1
												self.array.append((sys.maxsize, tup[1])      )
												self.decrease_key((sys.maxsize, tup[1])   ,  tup[0]      )






						def 					UpperCamelCase__					(		self      ):






												"""simple docstring"""
												lowerCAmelCase__			  =  self.array[0][1]
												lowerCAmelCase__			  =  self.array[self.cur_size - 1]
												self.cur_size -= 1
												self.min_heapify(1      )
												del self.pos[min_node]
												return min_node






						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase      ):






												"""simple docstring"""
												return 2 * i + 1






						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase      ):






												"""simple docstring"""
												return 2 * i + 2






						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase      ):






												"""simple docstring"""
												return math.floor(i / 2      )






						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase   ,  _UpperCamelCase      ):






												"""simple docstring"""
												lowerCAmelCase__			  =  j
												lowerCAmelCase__			  =  i
												lowerCAmelCase__			  =  self.array[i]
												lowerCAmelCase__			  =  self.array[j]
												lowerCAmelCase__			  =  temp







						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase   ,  _UpperCamelCase      ):






												"""simple docstring"""
												lowerCAmelCase__			  =  self.pos[tup[1]]
												# assuming the new_d is atmost old_d
												lowerCAmelCase__			  =  (new_d, tup[1])
												while idx > 0 and self.array[self.par(a__      )][0] > self.array[idx][0]:
																		self.swap(a__   ,  self.par(a__      )      )
																		lowerCAmelCase__			  =  self.par(a__      )




class 			__SCREAMING_SNAKE_CASE    :






						def __init__(		self   ,  _UpperCamelCase      ):






												"""simple docstring"""
												lowerCAmelCase__			  =  {}  # To store graph: u -> (v,w)
												lowerCAmelCase__			  =  num  # Number of nodes in graph
												# To store the distance from source vertex
												lowerCAmelCase__			  =  [0] * self.num_nodes
												lowerCAmelCase__			  =  [-1] * self.num_nodes  # To store the path






						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase   ,  _UpperCamelCase   ,  _UpperCamelCase      ):






												"""simple docstring"""







												if u in self.adjList:
																		self.adjList[u].append((v, w)      )
												else:
																		lowerCAmelCase__			  =  [(v, w)]

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






						def 					UpperCamelCase__					(		self      ):






												"""simple docstring"""







												for u in self.adjList:
																		print(a__   ,  '->'   ,  ' -> '.join(str(F"{v}({w})"      ) for v, w in self.adjList[u]      )      )






						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase      ):






												"""simple docstring"""
												lowerCAmelCase__			  =  [-1] * self.num_nodes
												# src is the source node
												lowerCAmelCase__			  =  0
												lowerCAmelCase__			  =  PriorityQueue()
												q.insert((0, src)      )  # (dist from src, node)
												for u in self.adjList:
																		if u != src:
																								lowerCAmelCase__			  =  sys.maxsize  # Infinity
																								lowerCAmelCase__			  =  -1

												while not q.is_empty():
																		lowerCAmelCase__			  =  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__			  =  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)   ,  a__      )
																														lowerCAmelCase__			  =  new_dist
																														lowerCAmelCase__			  =  u

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






						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase      ):






												"""simple docstring"""
												print(F"Distance from node: {src}"      )
												for u in range(self.num_nodes      ):
																		print(F"Node {u} has distance: {self.dist[u]}"      )







						def 					UpperCamelCase__					(		self   ,  _UpperCamelCase   ,  _UpperCamelCase      ):






												"""simple docstring"""
												lowerCAmelCase__			  =  []
												lowerCAmelCase__			  =  0
												lowerCAmelCase__			  =  dest
												# Backtracking from dest to src
												while self.par[temp] != -1:
																		path.append(a__      )
																		if temp != src:
																								for v, w in self.adjList[temp]:
																														if v == self.par[temp]:
																																				cost += w
																																				break
																		lowerCAmelCase__			  =  self.par[temp]
												path.append(a__      )
												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: '   ,  a__      )


if __name__ == "__main__":
					__snake_case			:			Dict			   =   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









"""simple docstring"""


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

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


if is_sentencepiece_available():
		from .tokenization_reformer import ReformerTokenizer
else:
		a_											=			None


a_											=			logging.get_logger(__name__)


a_											=			"▁"

a_											=			{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

a_											=			{
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    },
    "tokenizer_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"
        )
    },
}

a_											=			{
    "google/reformer-crime-and-punishment": 52_42_88,
}
class snake_case					(     _UpperCamelCase):
		__UpperCamelCase							=	VOCAB_FILES_NAMES
		__UpperCamelCase							=	PRETRAINED_VOCAB_FILES_MAP
		__UpperCamelCase							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__UpperCamelCase							=	['input_ids', 'attention_mask']
		__UpperCamelCase							=	ReformerTokenizer







		def __init__(    self					:				Dict			,      a__					:				List[Any]=None			,      a__					:				int=None			,      a__					:				int="</s>"			,      a__					:				List[Any]="<unk>"			,      a__					:				Optional[Any]=[]			,      **a__					:				Tuple			,      )				->  Tuple:





						'''simple docstring'''







						super().__init__(
						    a__			,      tokenizer_file=a__			,      eos_token=a__			,      unk_token=a__			,      additional_special_tokens=a__			,      **a__			,      )

						_A         =	vocab_file
						_A         =	False if not self.vocab_file else True







		def        a_       (    self					:				Any			,      a__					:				str			,      a__					:				Optional[str] = None						)				->  Tuple[str]:





						'''simple docstring'''







						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(a__						):
										logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""						)
										return
						_A         =	os.path.join(
						    a__			,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

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

						return (out_vocab_file,)