


"""simple docstring"""






import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin


class 			__lowerCamelCase     (    snake_case_     ,    unittest.TestCase ):

     '''simple docstring'''
     A_				:		Tuple			=						XLMTokenizer
     A_				:		List[str]			=						False


     def 							_UpperCAmelCase					(					self							)				->							Union[str, Any]:
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          _a					= [
              """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>""",
              """<unk>""",
          ]
          _a					= dict(zip(UpperCAmelCase__			, range(len(UpperCAmelCase__							)							)							)							)
          _a					= ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

          _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'''							) as fp:
               fp.write(json.dumps(UpperCAmelCase__							)							)
          with open(self.merges_file			, '''w'''							) as fp:
               fp.write('''\n'''.join(UpperCAmelCase__							)							)


     def 							_UpperCAmelCase					(					self			, __UpperCAmelCase							)				->							Optional[Any]:
          _a					= """lower newer"""
          _a					= """lower newer"""
          return input_text, output_text


     def 							_UpperCAmelCase					(					self							)				->							Union[str, Any]:
          _a					= XLMTokenizer(self.vocab_file			, self.merges_file							)

          _a					= """lower"""
          _a					= ["""low""", """er</w>"""]
          _a					= tokenizer.tokenize(UpperCAmelCase__							)
          self.assertListEqual(UpperCAmelCase__			, UpperCAmelCase__							)

          _a					= tokens + ["""<unk>"""]
          _a					= [14, 15, 20]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__							)			, UpperCAmelCase__							)





     @slow
     def 							_UpperCAmelCase					(					self							)				->							Dict:
          _a					= XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''							)

          _a					= tokenizer.encode('''sequence builders'''			, add_special_tokens=UpperCAmelCase__							)
          _a					= tokenizer.encode('''multi-sequence build'''			, add_special_tokens=UpperCAmelCase__							)

          _a					= tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__							)
          _a					= tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__			, UpperCAmelCase__							)

          assert encoded_sentence == [0] + text + [1]
          assert encoded_pair == [0] + text + [1] + text_a + [1]







"""simple docstring"""




from __future__ import annotations

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__				):



  '''simple docstring'''
  print(F"""Vertex\tShortest Distance from vertex {src}"""				)
  for i, d in enumerate(UpperCamelCase__				):
    print(F"""{i}\t\t{d}"""				)

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__				):



  '''simple docstring'''
  for j in range(UpperCamelCase__				):
    _a      ,  _a      ,  _a  :       List[str]             =	(graph[j][k] for k in ["""src""", """dst""", """weight"""])
    if distance[u] != float("""inf"""				) and distance[u] + w < distance[v]:
      return True
  return False

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__				):



  '''simple docstring'''
  _a  :       Dict             =	[float("""inf"""				)] * vertex_count
  _a  :       Any             =	0.0

  for _ in range(vertex_count - 1				):
    for j in range(UpperCamelCase__				):
      _a      ,  _a      ,  _a  :       List[Any]             =	(graph[j][k] for k in ["""src""", """dst""", """weight"""])

      if distance[u] != float("""inf"""				) and distance[u] + w < distance[v]:
        _a  :       Any             =	distance[u] + w

  _a  :       Union[str, Any]             =	check_negative_cycle(UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__				)
  if negative_cycle_exists:
    raise Exception("""Negative cycle found"""				)

  return distance


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 _snake_case          =   int(input('Enter number of vertices: ').strip())
 _snake_case          =   int(input('Enter number of edges: ').strip())

 _snake_case          =   [{} for _ in range(E)]

 for i in range(E):
  print('Edge ', i + 1)
  _snake_case      , _snake_case      , _snake_case          =   (
      int(x)
      for x in input('Enter source, destination, weight: ').strip().split(' ')
  )
  _snake_case          =   {'src': src, 'dst': dest, 'weight': weight}

 _snake_case          =   int(input('\nEnter shortest path source:').strip())
 _snake_case          =   bellman_ford(graph, V, E, source)
 print_distance(shortest_distance, 0)

