

'''simple docstring'''




import unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)



class 							lowercase_						(		unittest.TestCase			):

  '''simple docstring'''





  def     snake_case_      (  self  )				->					List[Any]:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([1, 2, 3]  )
    self.assertEqual(x.component(0  ) ,			1  )
    self.assertEqual(x.component(2  ) ,			3  )
    UpperCAmelCase    				=						Vector()
  def     snake_case_      (  self  )				->					Tuple:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([0, 0, 0, 0, 0, 1]  )
    self.assertEqual(str(__UpperCamelCase  ) ,			'(0,0,0,0,0,1)'  )
  def     snake_case_      (  self  )				->					List[Any]:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([1, 2, 3, 4]  )
    self.assertEqual(len(__UpperCamelCase  ) ,			4  )
  def     snake_case_      (  self  )				->					Optional[int]:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([1, 2]  )
    UpperCAmelCase    				=						Vector([1, 2, 3, 4, 5]  )
    UpperCAmelCase    				=						Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]  )
    UpperCAmelCase    				=						Vector([1, -1, 1, -1, 2, -3, 4, -5]  )
    self.assertAlmostEqual(x.euclidean_length() ,			2.236 ,			3  )
    self.assertAlmostEqual(y.euclidean_length() ,			7.416 ,			3  )
    self.assertEqual(z.euclidean_length() ,			0  )
    self.assertAlmostEqual(w.euclidean_length() ,			7.616 ,			3  )
  def     snake_case_      (  self  )				->					Union[str, Any]:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([1, 2, 3]  )
    UpperCAmelCase    				=						Vector([1, 1, 1]  )
    self.assertEqual((x + y).component(0  ) ,			2  )
    self.assertEqual((x + y).component(1  ) ,			3  )
    self.assertEqual((x + y).component(2  ) ,			4  )
  def     snake_case_      (  self  )				->					Any:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([1, 2, 3]  )
    UpperCAmelCase    				=						Vector([1, 1, 1]  )
    self.assertEqual((x - y).component(0  ) ,			0  )
    self.assertEqual((x - y).component(1  ) ,			1  )
    self.assertEqual((x - y).component(2  ) ,			2  )
  def     snake_case_      (  self  )				->					Any:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([1, 2, 3]  )
    UpperCAmelCase    				=						Vector([2, -1, 4]  )  # for test of dot product
    UpperCAmelCase    				=						Vector([1, -2, -1]  )
    self.assertEqual(str(x * 3.0  ) ,			'(3.0,6.0,9.0)'  )
    self.assertEqual((a * b) ,			0  )
  def     snake_case_      (  self  )				->					Tuple:


    """simple docstring"""
    self.assertEqual(str(zero_vector(1_0  )  ).count('0'  ) ,			1_0  )
  def     snake_case_      (  self  )				->					Optional[int]:


    """simple docstring"""
    self.assertEqual(str(unit_basis_vector(3 ,			1  )  ) ,			'(0,1,0)'  )
  def     snake_case_      (  self  )				->					Union[str, Any]:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([1, 2, 3]  )
    UpperCAmelCase    				=						Vector([1, 0, 1]  )
    self.assertEqual(str(axpy(2 ,			__UpperCamelCase ,			__UpperCamelCase  )  ) ,			'(3,4,7)'  )
  def     snake_case_      (  self  )				->					Optional[Any]:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([1, 0, 0, 0, 0, 0]  )
    UpperCAmelCase    				=						x.copy()
    self.assertEqual(str(__UpperCamelCase  ) ,			str(__UpperCamelCase  )  )
  def     snake_case_      (  self  )				->					Dict:


    """simple docstring"""
    UpperCAmelCase    				=						Vector([1, 0, 0]  )
    x.change_component(0 ,			0  )
    x.change_component(1 ,			1  )
    self.assertEqual(str(__UpperCamelCase  ) ,			'(0,1,0)'  )
  def     snake_case_      (  self  )				->					List[str]:


    """simple docstring"""
    UpperCAmelCase    				=						Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]] ,			3 ,			3  )
    self.assertEqual('|1,2,3|\n|2,4,5|\n|6,7,8|\n' ,			str(__UpperCamelCase  )  )
  def     snake_case_      (  self  )				->					str:


    """simple docstring"""
    UpperCAmelCase    				=						Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]] ,			3 ,			3  )
    UpperCAmelCase    				=						[[-3, -1_4, -1_0], [-5, -1_0, -5], [-2, -1, 0]]
    for x in range(a.height()  ):
      for y in range(a.width()  ):
        self.assertEqual(minors[x][y] ,			a.minor(__UpperCamelCase ,			__UpperCamelCase  )  )
  def     snake_case_      (  self  )				->					Union[str, Any]:


    """simple docstring"""
    UpperCAmelCase    				=						Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]] ,			3 ,			3  )
    UpperCAmelCase    				=						[[-3, 1_4, -1_0], [5, -1_0, 5], [-2, 1, 0]]
    for x in range(a.height()  ):
      for y in range(a.width()  ):
        self.assertEqual(cofactors[x][y] ,			a.cofactor(__UpperCamelCase ,			__UpperCamelCase  )  )
  def     snake_case_      (  self  )				->					Any:


    """simple docstring"""
    UpperCAmelCase    				=						Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]] ,			3 ,			3  )
    self.assertEqual(-5 ,			a.determinant()  )
  def     snake_case_      (  self  )				->					Tuple:


    """simple docstring"""
    UpperCAmelCase    				=						Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]] ,			3 ,			3  )
    UpperCAmelCase    				=						Vector([1, 2, 3]  )
    self.assertEqual('(14,32,50)' ,			str(a * x  )  )
    self.assertEqual('|2,4,6|\n|8,10,12|\n|14,16,18|\n' ,			str(a * 2  )  )
  def     snake_case_      (  self  )				->					int:


    """simple docstring"""
    UpperCAmelCase    				=						Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]] ,			3 ,			3  )
    a.change_component(0 ,			2 ,			5  )
    self.assertEqual('|1,2,5|\n|2,4,5|\n|6,7,8|\n' ,			str(__UpperCamelCase  )  )
  def     snake_case_      (  self  )				->					List[str]:


    """simple docstring"""
    UpperCAmelCase    				=						Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]] ,			3 ,			3  )
    self.assertEqual(7 ,			a.component(2 ,			1  ) ,			0.01  )
  def     snake_case_      (  self  )				->					Any:


    """simple docstring"""
    UpperCAmelCase    				=						Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]] ,			3 ,			3  )
    UpperCAmelCase    				=						Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 1_0]] ,			3 ,			3  )
    self.assertEqual('|2,4,10|\n|4,8,10|\n|12,14,18|\n' ,			str(a + b  )  )
  def     snake_case_      (  self  )				->					List[str]:


    """simple docstring"""
    UpperCAmelCase    				=						Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]] ,			3 ,			3  )
    UpperCAmelCase    				=						Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 1_0]] ,			3 ,			3  )
    self.assertEqual('|0,0,-4|\n|0,0,0|\n|0,0,-2|\n' ,			str(a - b  )  )





  def     snake_case_      (  self  )				->					Tuple:


    """simple docstring"""
    self.assertEqual(
        '|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n' ,			str(square_zero_matrix(5  )  ) ,			)


if __name__ == "__main__":
  unittest.main()




import datasets


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

A		: Optional[int]								=     '''\
XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).
'''

A		: str								=     '''
Computes XNLI score which is just simple accuracy.
Args:
    predictions: Predicted labels.
    references: Ground truth labels.
Returns:
    \'accuracy\': accuracy
Examples:

    >>> predictions = [0, 1]
    >>> references = [0, 1]
    >>> xnli_metric = datasets.load_metric("xnli")
    >>> results = xnli_metric.compute(predictions=predictions, references=references)
    >>> print(results)
    {\'accuracy\': 1.0}
'''




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	List[str]		,   SCREAMING_SNAKE_CASE_	:	List[Any]       )  ->     str:
						return (preds == labels).mean()



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






			def    UpperCamelCase_				(      self  ):
									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    UpperCamelCase_				(      self				,			__UpperCamelCase				,			__UpperCamelCase  ):
									return {"accuracy": simple_accuracy(__UpperCamelCase				,			__UpperCamelCase  )}