

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 (   __snake_case					,       unittest.TestCase		):







   '''simple docstring'''




   lowerCamelCase__				=      MgpstrTokenizer
   lowerCamelCase__				=      False
   lowerCamelCase__				=      {}
   lowerCamelCase__				=      False





   def      _snake_case		(       self					:			Optional[Any]			):
       super().setUp()

       # fmt: off
       SCREAMING_SNAKE_CASE										=   ["[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
       SCREAMING_SNAKE_CASE										=   dict(zip(__lowerCamelCase     , range(len(__lowerCamelCase			)			)			)			)

       SCREAMING_SNAKE_CASE										=   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      _snake_case		(       self					:			Dict     , **__lowerCamelCase					:			str			):
       return MgpstrTokenizer.from_pretrained(self.tmpdirname     , **__lowerCamelCase			)





   def      _snake_case		(       self					:			Union[str, Any]     , __lowerCamelCase					:			List[str]			):
       SCREAMING_SNAKE_CASE										=   "tester"
       SCREAMING_SNAKE_CASE										=   "tester"
       return input_text, output_text





   @unittest.skip("MGP-STR always lower cases letters."			)
   def      _snake_case		(       self					:			Union[str, Any]			):
       pass





   def      _snake_case		(       self					:			str			):
       SCREAMING_SNAKE_CASE										=   self.get_tokenizers(do_lower_case=__lowerCamelCase			)
       for tokenizer in tokenizers:
           with self.subTest(f"{tokenizer.__class__.__name__}"			):
               SCREAMING_SNAKE_CASE										=   "[SPECIAL_TOKEN]"

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

               SCREAMING_SNAKE_CASE										=   tokenizer.decode(__lowerCamelCase     , skip_special_tokens=__lowerCamelCase			)
               self.assertTrue(special_token not in decoded			)





   def      _snake_case		(       self					:			Tuple			):
       SCREAMING_SNAKE_CASE										=   self.get_tokenizers()
       for tokenizer in tokenizers:
           with self.subTest(f"{tokenizer.__class__.__name__}"			):
               SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE										=   self.get_input_output_texts(__lowerCamelCase			)

               SCREAMING_SNAKE_CASE										=   tokenizer.tokenize(__lowerCamelCase			)
               SCREAMING_SNAKE_CASE										=   tokenizer.convert_tokens_to_ids(__lowerCamelCase			)
               SCREAMING_SNAKE_CASE										=   tokenizer.encode(__lowerCamelCase     , add_special_tokens=__lowerCamelCase			)
               self.assertListEqual(__lowerCamelCase     , __lowerCamelCase			)

               SCREAMING_SNAKE_CASE										=   tokenizer.convert_ids_to_tokens(__lowerCamelCase			)
               self.assertNotEqual(len(__lowerCamelCase			)     , 0			)
               SCREAMING_SNAKE_CASE										=   tokenizer.decode(__lowerCamelCase			)
               self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase			)

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





   @unittest.skip("MGP-STR tokenizer only handles one sequence."			)
   def      _snake_case		(       self					:			Optional[int]			):
       pass





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




from graphs.minimum_spanning_tree_kruskal import kruskal

def 	SCREAMING_SNAKE_CASE_							(	)  ->     Tuple:
   _A      =       9
   _A      =       [
       [0, 1, 4],
       [0, 7, 8],
       [1, 2, 8],
       [7, 8, 7],
       [7, 6, 1],
       [2, 8, 2],
       [8, 6, 6],
       [2, 3, 7],
       [2, 5, 4],
       [6, 5, 2],
       [3, 5, 14],
       [3, 4, 9],
       [5, 4, 10],
       [1, 7, 11],
   ]

   _A      =       kruskal(_snake_case	,   _snake_case				)

   _A      =       [
       [7, 6, 1],
       [2, 8, 2],
       [6, 5, 2],
       [0, 1, 4],
       [2, 5, 4],
       [2, 3, 7],
       [0, 7, 8],
       [3, 4, 9],
   ]

   assert sorted(_snake_case				) == sorted(_snake_case				)



