






'''simple docstring'''







import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin






class 					a__    (			lowerCamelCase ,						unittest.TestCase						):
     '''simple docstring'''







     _snake_case             =  SpeechaTextaTokenizer
     _snake_case             =  False






     def     _UpperCamelCase   (self    :	Any					)  ->       Optional[int]:
           super().setUp()

           __A		   =      "<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab".split(" "					)
           __A		   =      ["he re</w> 123", "here a 1456"]
           __A		   =      dict(zip(lowercase__				,				range(len(lowercase__					)					)					)					)

           __A		   =      {"pad_token": "<pad>", "unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>"}

           __A		   =      tempfile.mkdtemp()
           __A		   =      os.path.join(self.tmpdirname				,				VOCAB_FILES_NAMES["vocab_file"]					)
           __A		   =      os.path.join(self.tmpdirname				,				VOCAB_FILES_NAMES["merges_file"]					)

           with open(self.vocab_file				,				"w"				,				encoding="utf-8"					) as fp:
                 fp.write(json.dumps(lowercase__					) + "\n"					)

           with open(self.merges_file				,				"w"					) as fp:
                 fp.write("\n".join(lowercase__					)					)






     def     _UpperCamelCase   (self    :	Tuple					)  ->       Union[str, Any]:
           __A		   =      list(self.get_tokenizer().get_vocab().keys()					)

           self.assertEqual(vocab_keys[0]				,				"<s>"					)
           self.assertEqual(vocab_keys[1]				,				"<pad>"					)
           self.assertEqual(vocab_keys[-1]				,				"vocab"					)
           self.assertEqual(len(lowercase__					)				,				14					)






     def     _UpperCamelCase   (self    :	Dict					)  ->       List[str]:
           self.assertEqual(self.get_tokenizer().vocab_size				,				14					)






     def     _UpperCamelCase   (self    :	Any					)  ->       List[Any]:
           __A		   =      SpeechaTextaTokenizer.from_pretrained(self.tmpdirname					)

           # make sure @@ is correctly concatenated
           __A		   =      [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
           __A		   =      tokenizer.decode(lowercase__					)

           self.assertTrue(output_string == "herecouple words ofthe"					)






     def     _UpperCamelCase   (self    :	str					)  ->       List[Any]:
           __A		   =      SpeechaTextaTokenizer.from_pretrained(self.tmpdirname					)

           with tempfile.TemporaryDirectory() as tmp_dirname:
                 tokenizer.save_pretrained(lowercase__					)
                 os.remove(os.path.join(lowercase__				,				"merges.txt"					)					)

                 # load tokenizer without merges file should not throw an error
                 __A		   =      SpeechaTextaTokenizer.from_pretrained(lowercase__					)

           with tempfile.TemporaryDirectory() as tmp_dirname:
                 # save tokenizer and load again
                 tokenizer.save_pretrained(lowercase__					)
                 __A		   =      SpeechaTextaTokenizer.from_pretrained(lowercase__					)

           self.assertIsNotNone(lowercase__					)






     def     _UpperCamelCase   (self    :	str					)  ->       Tuple:
           if not self.test_slow_tokenizer:
                 return

           __A		   =      inspect.signature(self.tokenizer_class.__init__					)
           __A		   =      self.get_tokenizer()

           for parameter_name, parameter in signature.parameters.items():
                 if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
                       self.assertIn(lowercase__				,				tokenizer.init_kwargs					)










'''simple docstring'''







from __future__ import annotations

from queue import Queue






class 					a__    :
     '''simple docstring'''







     def __init__(self    :	Any					)  ->       None:
           __A		   =      {}






     def     _UpperCamelCase   (self    :	Optional[int]					)  ->       None:
           for i in self.vertices:
                 print(lowercase__				,				" : "				,				" -> ".join([str(lowercase__					) for j in self.vertices[i]]					)					)






     def     _UpperCamelCase   (self    :	Union[str, Any]				,				lowercase__    :	int				,				lowercase__    :	int					)  ->       None:
           if from_vertex in self.vertices:
                 self.vertices[from_vertex].append(lowercase__					)
           else:
                 __A		   =      [to_vertex]






     def     _UpperCamelCase   (self    :	Optional[int]				,				lowercase__    :	int					)  ->       set[int]:
           __A		   =      set()

           # create a first in first out queue to store all the vertices for BFS
           __A		   =      Queue()

           # mark the source node as visited and enqueue it
           visited.add(lowercase__					)
           queue.put(lowercase__					)

           while not queue.empty():
                 __A		   =      queue.get()

                 # loop through all adjacent vertex and enqueue it if not yet visited
                 for adjacent_vertex in self.vertices[vertex]:
                       if adjacent_vertex not in visited:
                             queue.put(lowercase__					)
                             visited.add(lowercase__					)
           return visited


if __name__ == "__main__":
       from doctest import testmod

       testmod(verbose=True)

       __A      :       Dict      =	Graph()
       g.add_edge(0, 1)
       g.add_edge(0, 2)
       g.add_edge(1, 2)
       g.add_edge(2, 0)
       g.add_edge(2, 3)
       g.add_edge(3, 3)

       g.print_graph()
       # 0  :  1 -> 2
       # 1  :  2
       # 2  :  0 -> 3
       # 3  :  3

       assert sorted(g.bfs(2)) == [0, 1, 2, 3]


