





import datasets


__A									=				"\\n@InProceedings{conneau2018xnli,\n  author = \"Conneau, Alexis\n                 and Rinott, Ruty\n                 and Lample, Guillaume\n                 and Williams, Adina\n                 and Bowman, Samuel R.\n                 and Schwenk, Holger\n                 and Stoyanov, Veselin\",\n  title = \"XNLI: Evaluating Cross-lingual Sentence Representations\",\n  booktitle = \"Proceedings of the 2018 Conference on Empirical Methods\n               in Natural Language Processing\",\n  year = \"2018\",\n  publisher = \"Association for Computational Linguistics\",\n  location = \"Brussels, Belgium\",\n}\n"

__A									=				"\\nXNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n"

__A									=				"\nComputes XNLI score which is just simple accuracy.\nArgs:\n    predictions: Predicted labels.\n    references: Ground truth labels.\nReturns:\n    'accuracy': accuracy\nExamples:\n\n    >>> predictions = [0, 1]\n    >>> references = [0, 1]\n    >>> xnli_metric = datasets.load_metric(\"xnli\")\n    >>> results = xnli_metric.compute(predictions=predictions, references=references)\n    >>> print(results)\n    {'accuracy': 1.0}\n"





def      lowerCAmelCase_ (       __a	,    __a		)     ->		List[str]:







  """simple docstring"""





  return (preds == labels).mean()






@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION    ,							_KWARGS_DESCRIPTION    )
class    _SCREAMING_SNAKE_CASE						(	datasets.Metric    ):







 '''simple docstring'''

 def 							SCREAMING_SNAKE_CASE_					(self				:   int)       ->Union[str, Any]:



   '''simple docstring'''



   return datasets.MetricInfo(
       description=_DESCRIPTION       , citation=_CITATION       , inputs_description=_KWARGS_DESCRIPTION       , features=datasets.Features(
           {
               "predictions": datasets.Value("int64" if self.config_name != "sts-b" else "float32"),
               "references": datasets.Value("int64" if self.config_name != "sts-b" else "float32"),
           })       , codebase_urls=[]       , reference_urls=[]       , format="numpy"       , )







 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[int]       , UpperCAmelCase_				:   Tuple       , UpperCAmelCase_				:   List[str])       ->Union[str, Any]:



   '''simple docstring'''



   return {"accuracy": simple_accuracy(UpperCAmelCase_       , UpperCAmelCase_)}







'''simple docstring'''







class 			_a  :
       def __init__(	self						:	Any				):



           '''simple docstring'''

           UpperCAmelCase			       =		{}  # Mapping from char to TrieNode
           UpperCAmelCase			       =		False
       def     A      (	self						:	int   ,				lowercase						:	list[str]				):



           '''simple docstring'''

           for word in words:
               self.insert(lowercase				)
       def     A      (	self						:	Optional[int]   ,				lowercase						:	str				):



           '''simple docstring'''

           UpperCAmelCase			       =		self
           for char in word:
               if char not in curr.nodes:
                   UpperCAmelCase			       =		TrieNode()
               UpperCAmelCase			       =		curr.nodes[char]
           UpperCAmelCase			       =		True
       def     A      (	self						:	Optional[int]   ,				lowercase						:	str				):



           '''simple docstring'''

           UpperCAmelCase			       =		self
           for char in word:
               if char not in curr.nodes:
                   return False
               UpperCAmelCase			       =		curr.nodes[char]
           return curr.is_leaf







       def     A      (	self						:	str   ,				lowercase						:	str				):



           '''simple docstring'''

           def _delete(lowercase						:	TrieNode   ,				lowercase						:	str   ,				lowercase						:	int				) -> bool:
               if index == len(lowercase				):
                   # If word does not exist
                   if not curr.is_leaf:
                       return False
                   UpperCAmelCase			       =		False
                   return len(curr.nodes				) == 0
               UpperCAmelCase			       =		word[index]
               UpperCAmelCase			       =		curr.nodes.get(lowercase				)
               # If char not in current trie node
               if not char_node:
                   return False
               # Flag to check if node can be deleted
               UpperCAmelCase			       =		_delete(lowercase   ,				lowercase   ,				index + 1				)
               if delete_curr:
                   del curr.nodes[char]
                   return len(curr.nodes				) == 0
               return delete_curr

           _delete(self   ,				lowercase   ,				0				)






def 						snake_case_							(_a	:							TrieNode    ,   _a	:							str     ):
    if node.is_leaf:
        print(_a    ,   end=''' '''     )

    for key, value in node.nodes.items():
        print_words(_a    ,   word + key     )





def 						snake_case_							():
    UpperCAmelCase			       =		'''banana bananas bandana band apple all beast'''.split()
    UpperCAmelCase			       =		TrieNode()
    root.insert_many(_a     )
    # print_words(root, "")
    assert all(root.find(_a     ) for word in words     )
    assert root.find('''banana'''     )
    assert not root.find('''bandanas'''     )
    assert not root.find('''apps'''     )
    assert root.find('''apple'''     )
    assert root.find('''all'''     )
    root.delete('''all'''     )
    assert not root.find('''all'''     )
    root.delete('''banana'''     )
    assert not root.find('''banana'''     )
    assert root.find('''bananas'''     )
    return True





def 						snake_case_							(_a	:							str    ,   _a	:							bool     ):
    print(str(_a     )    ,   '''works!''' if passes else '''doesn\'t work :('''     )





def 						snake_case_							():
    assert test_trie()





def 						snake_case_							():
    print_results('''Testing trie functionality'''    ,   test_trie()     )


if __name__ == "__main__":
   main()




