

'''simple docstring'''






import math
import sys
class      SCREAMING_SNAKE_CASE__      :




    def __init__( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      str					=	0
          SCREAMING_SNAKE_CASE_				:      Dict					=	[]
          SCREAMING_SNAKE_CASE_				:      List[Any]					=	{}  # To store the pos of node in array




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          return self.cur_size == 0




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      int					=	self.left(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	self.right(lowercase__      )
          if lc < self.cur_size and self.array(lowercase__      )[0] < self.array(lowercase__      )[0]:
                SCREAMING_SNAKE_CASE_				:      Optional[int]					=	lc
          else:
                SCREAMING_SNAKE_CASE_				:      List[str]					=	idx
          if rc < self.cur_size and self.array(lowercase__      )[0] < self.array(lowercase__      )[0]:
                SCREAMING_SNAKE_CASE_				:      Any					=	rc
          if smallest != idx:
                self.swap(lowercase__    ,					lowercase__      )
                self.min_heapify(lowercase__      )




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      str					=	self.cur_size
          self.cur_size += 1
          self.array.append((sys.maxsize, tup[1])      )
          self.decrease_key((sys.maxsize, tup[1])    ,					tup[0]      )




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	self.array[0][1]
          SCREAMING_SNAKE_CASE_				:      int					=	self.array[self.cur_size - 1]
          self.cur_size -= 1
          self.min_heapify(1      )
          del self.pos[min_node]
          return min_node




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          return 2 * i + 1




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          return 2 * i + 2




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          return math.floor(i / 2      )




    def   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	j
          SCREAMING_SNAKE_CASE_				:      List[str]					=	i
          SCREAMING_SNAKE_CASE_				:      str					=	self.array[i]
          SCREAMING_SNAKE_CASE_				:      Tuple					=	self.array[j]
          SCREAMING_SNAKE_CASE_				:      Tuple					=	temp







    def   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      List[Any]					=	self.pos[tup[1]]
          # assuming the new_d is atmost old_d
          SCREAMING_SNAKE_CASE_				:      Any					=	(new_d, tup[1])
          while idx > 0 and self.array[self.par(lowercase__      )][0] > self.array[idx][0]:
                self.swap(lowercase__    ,					self.par(lowercase__      )      )
                SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	self.par(lowercase__      )






class      SCREAMING_SNAKE_CASE__      :




    def __init__( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	{}  # To store graph: u -> (v,w)
          SCREAMING_SNAKE_CASE_				:      Tuple					=	num  # Number of nodes in graph
          # To store the distance from source vertex
          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	[0] * self.num_nodes
          SCREAMING_SNAKE_CASE_				:      str					=	[-1] * self.num_nodes  # To store the path




    def   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__    ,					lowercase__      ):






          """simple docstring"""






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

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




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






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




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	[-1] * self.num_nodes
          # src is the source node
          SCREAMING_SNAKE_CASE_				:      Tuple					=	0
          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	PriorityQueue()
          q.insert((0, src)      )  # (dist from src, node)
          for u in self.adjList:
                if u != src:
                      SCREAMING_SNAKE_CASE_				:      Optional[int]					=	sys.maxsize  # Infinity
                      SCREAMING_SNAKE_CASE_				:      Dict					=	-1

          while not q.is_empty():
                SCREAMING_SNAKE_CASE_				:      Tuple					=	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]:
                      SCREAMING_SNAKE_CASE_				:      List[Any]					=	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)    ,					lowercase__      )
                            SCREAMING_SNAKE_CASE_				:      Any					=	new_dist
                            SCREAMING_SNAKE_CASE_				:      List[Any]					=	u

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




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """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   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      List[str]					=	[]
          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	0
          SCREAMING_SNAKE_CASE_				:      int					=	dest
          # Backtracking from dest to src
          while self.par[temp] != -1:
                path.append(lowercase__      )
                if temp != src:
                      for v, w in self.adjList[temp]:
                            if v == self.par[temp]:
                                  cost += w
                                  break
                SCREAMING_SNAKE_CASE_				:      List[Any]					=	self.par[temp]
          path.append(lowercase__      )
          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: "    ,					lowercase__      )


if __name__ == "__main__":
      snake_case_					  =	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, 1_1)
      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, 1_4)
      graph.add_edge(4, 5, 1_0)
      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 json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class      SCREAMING_SNAKE_CASE__      (    _UpperCAmelCase,unittest.TestCase				):
    _A         =							HerbertTokenizer
    _A         =							HerbertTokenizerFast
    _A         =							True




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          super().setUp()

          # Use a simpler test file without japanese/chinese characters
          with open(F"{get_tests_dir()}/fixtures/sample_text_no_unicode.txt"    ,					encoding="utf-8"      ) as f_data:
                SCREAMING_SNAKE_CASE_				:      List[str]					=	f_data.read().replace("\n\n"    ,					"\n"      ).strip()

          SCREAMING_SNAKE_CASE_				:      Dict					=	[
              "<s>",
              "</s>",
              "l",
              "o",
              "w",
              "e",
              "r",
              "s",
              "t",
              "i",
              "d",
              "n",
              "w</w>",
              "r</w>",
              "t</w>",
              "lo",
              "low",
              "er</w>",
              "low</w>",
              "lowest</w>",
              "newer</w>",
              "wider</w>",
              ",</w>",
              "<unk>",
          ]
          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	dict(zip(lowercase__    ,					range(len(lowercase__      )      )      )      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	["l o 123", "lo w 1456", "e r</w> 1789", ""]

          SCREAMING_SNAKE_CASE_				:      Any					=	os.path.join(self.tmpdirname    ,					VOCAB_FILES_NAMES["vocab_file"]      )
          SCREAMING_SNAKE_CASE_				:      List[Any]					=	os.path.join(self.tmpdirname    ,					VOCAB_FILES_NAMES["merges_file"]      )
          with open(self.vocab_file    ,					"w"      ) as fp:
                fp.write(json.dumps(lowercase__      )      )
          with open(self.merges_file    ,					"w"      ) as fp:
                fp.write("\n".join(lowercase__      )      )




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	"lower newer"
          SCREAMING_SNAKE_CASE_				:      str					=	"lower newer"
          return input_text, output_text




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	self.tokenizer_class(vocab_file=self.vocab_file    ,					merges_file=self.merges_file      )

          SCREAMING_SNAKE_CASE_				:      int					=	"lower"
          SCREAMING_SNAKE_CASE_				:      List[str]					=	["low", "er</w>"]
          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	tokenizer.tokenize(lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )

          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	tokens + ["<unk>"]
          SCREAMING_SNAKE_CASE_				:      Dict					=	[16, 17, 23]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__      )    ,					lowercase__      )




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          if not self.test_rust_tokenizer:
                return

          SCREAMING_SNAKE_CASE_				:      Dict					=	self.get_tokenizer()
          SCREAMING_SNAKE_CASE_				:      Any					=	self.get_rust_tokenizer()

          SCREAMING_SNAKE_CASE_				:      List[Any]					=	"lower,newer"

          SCREAMING_SNAKE_CASE_				:      int					=	tokenizer.tokenize(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      List[Any]					=	rust_tokenizer.tokenize(lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )

          SCREAMING_SNAKE_CASE_				:      List[Any]					=	tokenizer.encode(lowercase__    ,					add_special_tokens=lowercase__      )
          SCREAMING_SNAKE_CASE_				:      int					=	rust_tokenizer.encode(lowercase__    ,					add_special_tokens=lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )

          SCREAMING_SNAKE_CASE_				:      Any					=	self.get_rust_tokenizer()
          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	tokenizer.encode(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	rust_tokenizer.encode(lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )







    @slow
    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      int					=	self.tokenizer_class.from_pretrained("allegro/herbert-base-cased"      )

          SCREAMING_SNAKE_CASE_				:      List[Any]					=	tokenizer.encode("konstruowanie sekwencji"    ,					add_special_tokens=lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	tokenizer.encode("konstruowanie wielu sekwencji"    ,					add_special_tokens=lowercase__      )

          SCREAMING_SNAKE_CASE_				:      List[str]					=	tokenizer.build_inputs_with_special_tokens(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	tokenizer.build_inputs_with_special_tokens(lowercase__    ,					lowercase__      )

          assert encoded_sentence == [0] + text + [2]
          assert encoded_pair == [0] + text + [2] + text_a + [2]

