





import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class SCREAMING_SNAKE_CASE_ (					lowercase_							,       unittest.TestCase   ):





					"""simple docstring"""


					A__				 =    MgpstrTokenizer
					A__				 =    False
					A__				 =    {}
					A__				 =    False





					def 					__magic_name__ ( self	):
										super().setUp()

										# fmt: off
										lowerCamelCase__       =       ["[GO]", "[s]", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]
										# fmt: on
										lowerCamelCase__       =       dict(zip(_lowerCAmelCase	,  range(len(_lowerCAmelCase	)	)	)	)

										lowerCamelCase__       =       os.path.join(self.tmpdirname	,  VOCAB_FILES_NAMES["vocab_file"]	)
										with open(self.vocab_file	,  "w"	,  encoding="utf-8"	) as fp:
															fp.write(json.dumps(_lowerCAmelCase	) + "\n"	)





					def 					__magic_name__ ( self	,  **_lowerCAmelCase	):
										return MgpstrTokenizer.from_pretrained(self.tmpdirname	,  **_lowerCAmelCase	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										lowerCamelCase__       =       "tester"
										lowerCamelCase__       =       "tester"
										return input_text, output_text





					@unittest.skip("MGP-STR always lower cases letters."	)
					def 					__magic_name__ ( self	):
										pass





					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       self.get_tokenizers(do_lower_case=_lowerCAmelCase	)
										for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"	):
																				lowerCamelCase__       =       "[SPECIAL_TOKEN]"

																				tokenizer.add_special_tokens({"cls_token": special_token}	)
																				lowerCamelCase__       =       tokenizer.encode([special_token]	,  add_special_tokens=_lowerCAmelCase	)
																				self.assertEqual(len(_lowerCAmelCase	)	,  1	)

																				lowerCamelCase__       =       tokenizer.decode(_lowerCAmelCase	,  skip_special_tokens=_lowerCAmelCase	)
																				self.assertTrue(special_token not in decoded	)





					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       self.get_tokenizers()
										for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"	):
																				lowerCamelCase__    ,		lowerCamelCase__       =       self.get_input_output_texts(_lowerCAmelCase	)

																				lowerCamelCase__       =       tokenizer.tokenize(_lowerCAmelCase	)
																				lowerCamelCase__       =       tokenizer.convert_tokens_to_ids(_lowerCAmelCase	)
																				lowerCamelCase__       =       tokenizer.encode(_lowerCAmelCase	,  add_special_tokens=_lowerCAmelCase	)
																				self.assertListEqual(_lowerCAmelCase	,  _lowerCAmelCase	)

																				lowerCamelCase__       =       tokenizer.convert_ids_to_tokens(_lowerCAmelCase	)
																				self.assertNotEqual(len(_lowerCAmelCase	)	,  0	)
																				lowerCamelCase__       =       tokenizer.decode(_lowerCAmelCase	)
																				self.assertIsInstance(_lowerCAmelCase	,  _lowerCAmelCase	)

																				self.assertEqual(text_a.replace(" "	,  ""	)	,  _lowerCAmelCase	)





					@unittest.skip("MGP-STR tokenizer only handles one sequence."	)
					def 					__magic_name__ ( self	):
										pass






					@unittest.skip("inputs cannot be pretokenized in MgpstrTokenizer"	)
					def 					__magic_name__ ( self	):
										pass








def    __UpperCamelCase      (    a,     a) ->Dict:
					print("\nThe shortest path matrix using Floyd Warshall algorithm\n")
					for i in range(a):
										for j in range(a):
															if dist[i][j] != float("inf"):
																				print(int(dist[i][j]),     end="\t")
															else:
																				print("INF",     end="\t")
										print()





def    __UpperCamelCase      (    a,     a) ->Optional[int]:
					lowerCamelCase__       =       [[float("inf") for _ in range(a)] for _ in range(a)]

					for i in range(a):
										for j in range(a):
															lowerCamelCase__       =       graph[i][j]

															# check vertex k against all other vertices (i, j)
					for k in range(a):
										# looping through rows of graph array
										for i in range(a):
															# looping through columns of graph array
															for j in range(a):
																				if (
																				    dist[i][k] != float("inf")
																				    and dist[k][j] != float("inf")
																				    and dist[i][k] + dist[k][j] < dist[i][j]
																				):
																									lowerCamelCase__       =       dist[i][k] + dist[k][j]

					_print_dist(a,     a)
					return dist, v


if __name__ == "__main__":
						A_												=     int(input("Enter number of vertices: "))
						A_												=     int(input("Enter number of edges: "))

						A_												=     [[float("inf") for i in range(v)] for j in range(v)]

						for i in range(v):
												A_												=     0.0

												# src and dst are indices that must be within the array size graph[e][v]
												# failure to follow this will result in an error
						for i in range(e):
												print("\nEdge ", i + 1)
												A_												=     int(input("Enter source:"))
												A_												=     int(input("Enter destination:"))
												A_												=     float(input("Enter weight:"))
												A_												=     weight

						floyd_warshall(graph, v)

						# Example Input
						# Enter number of vertices: 3
						# Enter number of edges: 2

						# # generated graph from vertex and edge inputs
						# [[inf, inf, inf], [inf, inf, inf], [inf, inf, inf]]
						# [[0.0, inf, inf], [inf, 0.0, inf], [inf, inf, 0.0]]

						# specify source, destination and weight for edge #1
						# Edge  1
						# Enter source:1
						# Enter destination:2
						# Enter weight:2

						# specify source, destination and weight for edge #2
						# Edge  2
						# Enter source:2
						# Enter destination:1
						# Enter weight:1

						# # Expected Output from the vertice, edge and src, dst, weight inputs!!
						# 0		INF	INF
						# INF	0	2
						# INF	1	0

