




import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class    __lowerCAmelCase       (							lowerCAmelCase      , unittest.TestCase):
       _a 					=						None
       _a 					=						BloomTokenizerFast
       _a 					=						BloomTokenizerFast
       _a 					=						True
       _a 					=						False
       _a 					=						'''tokenizer_file'''
       _a 					=						{'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}






       def 					SCREAMING_SNAKE_CASE    (   self:					Tuple				):
         super().setUp()
         lowercase    :List[str]      	=						BloomTokenizerFast.from_pretrained("bigscience/tokenizer"				)
         tokenizer.save_pretrained(self.tmpdirname				)






       def 					SCREAMING_SNAKE_CASE    (   self:					List[str]       ,					**_lowerCAmelCase:					Union[str, Any]				):
         kwargs.update(self.special_tokens_map				)
         return BloomTokenizerFast.from_pretrained(self.tmpdirname       ,					**_lowerCAmelCase				)






       def 					SCREAMING_SNAKE_CASE    (   self:					Optional[Any]				):
         lowercase    :List[str]      	=						self.get_rust_tokenizer()

         lowercase    :Optional[int]      	=						["The quick brown fox</s>", "jumps over the lazy dog</s>"]
         lowercase    :Dict      	=						[[21_75, 2_37_14, 7_31_73, 14_42_52, 2], [77, 13_26_19, 34_78, 3_68, 10_95_86, 3_54_33, 2]]

         lowercase    :int      	=						tokenizer.batch_encode_plus(_lowerCAmelCase				)["input_ids"]
         self.assertListEqual(_lowerCAmelCase       ,					_lowerCAmelCase				)

         lowercase    :Tuple      	=						tokenizer.batch_decode(_lowerCAmelCase				)
         self.assertListEqual(_lowerCAmelCase       ,					_lowerCAmelCase				)






       def 					SCREAMING_SNAKE_CASE    (   self:					Dict       ,					_lowerCAmelCase:					int=6				):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"				):
             lowercase    :Dict      	=						self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase       ,					**_lowerCAmelCase				)
             # tokenizer_r.pad_token = None # Hotfixing padding = None
             # Simple input
             lowercase    :Any      	=						"This is a simple input"
             lowercase    :Optional[Any]      	=						["This is a simple input 1", "This is a simple input 2"]
             lowercase    :Tuple      	=						("This is a simple input", "This is a pair")
             lowercase    :List[str]      	=						[
                 ("This is a simple input 1", "This is a simple input 2"),
                 ("This is a simple pair 1", "This is a simple pair 2"),
             ]

             # Simple input tests
             try:
               tokenizer_r.encode(_lowerCAmelCase       ,					max_length=_lowerCAmelCase				)
               tokenizer_r.encode_plus(_lowerCAmelCase       ,					max_length=_lowerCAmelCase				)

               tokenizer_r.batch_encode_plus(_lowerCAmelCase       ,					max_length=_lowerCAmelCase				)
               tokenizer_r.encode(_lowerCAmelCase       ,					max_length=_lowerCAmelCase				)
               tokenizer_r.batch_encode_plus(_lowerCAmelCase       ,					max_length=_lowerCAmelCase				)
             except ValueError:
               self.fail("Bloom Tokenizer should be able to deal with padding"				)

             lowercase    :Dict      	=						None  # Hotfixing padding = None
             self.assertRaises(_lowerCAmelCase       ,					tokenizer_r.encode       ,					_lowerCAmelCase       ,					max_length=_lowerCAmelCase       ,					padding="max_length"				)

             # Simple input
             self.assertRaises(_lowerCAmelCase       ,					tokenizer_r.encode_plus       ,					_lowerCAmelCase       ,					max_length=_lowerCAmelCase       ,					padding="max_length"				)

             # Simple input
             self.assertRaises(
                 _lowerCAmelCase       ,					tokenizer_r.batch_encode_plus       ,					_lowerCAmelCase       ,					max_length=_lowerCAmelCase       ,					padding="max_length"       ,					)

             # Pair input
             self.assertRaises(_lowerCAmelCase       ,					tokenizer_r.encode       ,					_lowerCAmelCase       ,					max_length=_lowerCAmelCase       ,					padding="max_length"				)

             # Pair input
             self.assertRaises(_lowerCAmelCase       ,					tokenizer_r.encode_plus       ,					_lowerCAmelCase       ,					max_length=_lowerCAmelCase       ,					padding="max_length"				)

             # Pair input
             self.assertRaises(
                 _lowerCAmelCase       ,					tokenizer_r.batch_encode_plus       ,					_lowerCAmelCase       ,					max_length=_lowerCAmelCase       ,					padding="max_length"       ,					)






       def 					SCREAMING_SNAKE_CASE    (   self:					Union[str, Any]				):
         lowercase    :Dict      	=						self.get_rust_tokenizer()
         lowercase    :int      	=						load_dataset("xnli"       ,					"all_languages"       ,					split="test"       ,					streaming=_lowerCAmelCase				)

         lowercase    :Tuple      	=						next(iter(_lowerCAmelCase				)				)["premise"]  # pick up one data
         lowercase    :Optional[Any]      	=						list(sample_data.values()				)

         lowercase    :Optional[int]      	=						list(map(tokenizer.encode       ,					_lowerCAmelCase				)				)
         lowercase    :List[str]      	=						[tokenizer.decode(_lowerCAmelCase       ,					clean_up_tokenization_spaces=_lowerCAmelCase				) for x in output_tokens]
         self.assertListEqual(_lowerCAmelCase       ,					_lowerCAmelCase				)






       def 					SCREAMING_SNAKE_CASE    (   self:					Any				):
         # The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
         # any sequence length constraints. This test of the parent class will fail since it relies on the
         # maximum sequence length of the positoonal embeddings.
         self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map				)       ,					1				)
         self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()				)[0]				)       ,					1				)









from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst



def       UpperCAmelCase__  (     ):
  lowercase	,    lowercase    :Union[str, Any]      	=						9, 14  # noqa: F841
  lowercase    :Optional[Any]      	=						[
      [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],
  ]

  lowercase    :Optional[Any]      	=						defaultdict(lowerCamelCase   )
  for nodea, nodea, cost in edges:
    adjancency[nodea].append([nodea, cost]   )
    adjancency[nodea].append([nodea, cost]   )

  lowercase    :Optional[int]      	=						mst(lowerCamelCase   )

  lowercase    :Any      	=						[
      [7, 6, 1],
      [2, 8, 2],
      [6, 5, 2],
      [0, 1, 4],
      [2, 5, 4],
      [2, 3, 7],
      [0, 7, 8],
      [3, 4, 9],
  ]

  for answer in expected:
    lowercase    :Any      	=						tuple(answer[:2]   )
    lowercase    :str      	=						tuple(edge[::-1]   )
    assert edge in result or reverse in result



