"""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   __snake_case			(	__lowerCAmelCase			, unittest.TestCase							):
      a__								=						SpeechaTextaTokenizer
      a__								=						False



      def     lowerCamelCase_  (		self)      ->     Dict:





        '''simple docstring'''





        super().setUp()

        a__:	Tuple     				=      '<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'.split(' ')
        a__:	Any     				=      ['he re</w> 123', 'here a 1456']
        a__:	Any     				=      dict(zip(lowercase       ,     range(len(lowercase))))

        a__:	List[str]     				=      {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

        a__:	str     				=      tempfile.mkdtemp()
        a__:	List[Any]     				=      os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['vocab_file'])
        a__:	Optional[int]     				=      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     lowerCamelCase_  (		self)      ->     str:





        '''simple docstring'''





        a__:	Any     				=      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     lowerCamelCase_  (		self)      ->     Any:





        '''simple docstring'''





        self.assertEqual(self.get_tokenizer().vocab_size       ,     14)



      def     lowerCamelCase_  (		self)      ->     str:





        '''simple docstring'''





        a__:	Any     				=      SpeechaTextaTokenizer.from_pretrained(self.tmpdirname)

        # make sure @@ is correctly concatenated
        a__:	Dict     				=      [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
        a__:	List[Any]     				=      tokenizer.decode(lowercase)

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



      def     lowerCamelCase_  (		self)      ->     int:





        '''simple docstring'''





        a__:	Optional[int]     				=      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__:	Union[str, Any]     				=      SpeechaTextaTokenizer.from_pretrained(lowercase)

        with tempfile.TemporaryDirectory() as tmp_dirname:
          # save tokenizer and load again
          tokenizer.save_pretrained(lowercase)
          a__:	Tuple     				=      SpeechaTextaTokenizer.from_pretrained(lowercase)

        self.assertIsNotNone(lowercase)



      def     lowerCamelCase_  (		self)      ->     List[Any]:





        '''simple docstring'''





        if not self.test_slow_tokenizer:
          return

        a__:	List[Any]     				=      inspect.signature(self.tokenizer_class.__init__)
        a__:	Optional[int]     				=      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





class        __magic_name__		:







			def __init__(      self							:    List[str]							,     lowercase_							:    int       ):
										lowercase_   :     List[str]									=			vertices
										lowercase_   :     Optional[Any]									=			[[0] * vertices for _ in range(lowercase_       )]







			def       SCREAMING_SNAKE_CASE_	(      self							:    int							,     lowercase_							:    list[int]       ):
										print("""Vertex \t Distance from Source"""       )
										for vertex in range(self.vertices       ):
																	print(lowercase_							,     """\t\t"""							,     distances_from_source[vertex]       )







			def       SCREAMING_SNAKE_CASE_	(      self							:    str							,     lowercase_							:    list[int]							,     lowercase_							:    list[bool]       ):
										lowercase_   :     Dict									=			1E7
										lowercase_   :     int									=			0

										# Search not nearest vertex not in the shortest path tree
										for vertex in range(self.vertices       ):
																	if distances_from_source[vertex] < minimum and visited[vertex] is False:
																								lowercase_   :     Tuple									=			distances_from_source[vertex]
																								lowercase_   :     str									=			vertex
										return min_index







			def       SCREAMING_SNAKE_CASE_	(      self							:    Union[str, Any]							,     lowercase_							:    int       ):
										lowercase_   :     Optional[Any]									=			[int(1E7       )] * self.vertices  # distances from the source
										lowercase_   :     List[Any]									=			0
										lowercase_   :     Any									=			[False] * self.vertices

										for _ in range(self.vertices       ):
																	lowercase_   :     Tuple									=			self.minimum_distance(lowercase_							,     lowercase_       )
																	lowercase_   :     Union[str, Any]									=			True

																	# Update dist value of the adjacent vertices
																	# of the picked vertex only if the current
																	# distance is greater than new distance and
																	# the vertex in not in the shortest path tree
																	for v in range(self.vertices       ):
																								if (
																								    self.graph[u][v] > 0
																								    and visited[v] is False
																								    and distances[v] > distances[u] + self.graph[u][v]
																								):
																															lowercase_   :     Any									=			distances[u] + self.graph[u][v]

										self.print_solution(lowercase_       )


if __name__ == "__main__":
						_lowercase		:					Any													=		Graph(9)
						_lowercase		:					Any													=		[
						    [0, 4, 0, 0, 0, 0, 0, 8, 0],
						    [4, 0, 8, 0, 0, 0, 0, 11, 0],
						    [0, 8, 0, 7, 0, 4, 0, 0, 2],
						    [0, 0, 7, 0, 9, 14, 0, 0, 0],
						    [0, 0, 0, 9, 0, 10, 0, 0, 0],
						    [0, 0, 4, 14, 10, 0, 2, 0, 0],
						    [0, 0, 0, 0, 0, 2, 0, 1, 6],
						    [8, 11, 0, 0, 0, 0, 1, 0, 7],
						    [0, 0, 2, 0, 0, 0, 6, 7, 0],
						]
						graph.dijkstra(0)





