



import unittest

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

class    _A	(     unittest.TestCase   ):



       def 		_lowerCamelCase      (		self							:					Optional[int]):


           '''simple docstring'''

           __a							=    Vector([1, 2, 3])
           self.assertEqual(x.component(0)					,		1)
           self.assertEqual(x.component(2)					,		3)
           __a							=    Vector()



       def 		_lowerCamelCase      (		self							:					Dict):


           '''simple docstring'''

           __a							=    Vector([0, 0, 0, 0, 0, 1])
           self.assertEqual(str(__SCREAMING_SNAKE_CASE)					,		'''(0,0,0,0,0,1)''')



       def 		_lowerCamelCase      (		self							:					int):


           '''simple docstring'''

           __a							=    Vector([1, 2, 3, 4])
           self.assertEqual(len(__SCREAMING_SNAKE_CASE)					,		4)



       def 		_lowerCamelCase      (		self							:					List[Any]):


           '''simple docstring'''

           __a							=    Vector([1, 2])
           __a							=    Vector([1, 2, 3, 4, 5])
           __a							=    Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
           __a							=    Vector([1, -1, 1, -1, 2, -3, 4, -5])
           self.assertAlmostEqual(x.euclidean_length()					,		2.2_36					,		3)
           self.assertAlmostEqual(y.euclidean_length()					,		7.4_16					,		3)
           self.assertEqual(z.euclidean_length()					,		0)
           self.assertAlmostEqual(w.euclidean_length()					,		7.6_16					,		3)



       def 		_lowerCamelCase      (		self							:					Optional[Any]):


           '''simple docstring'''

           __a							=    Vector([1, 2, 3])
           __a							=    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 		_lowerCamelCase      (		self							:					List[Any]):


           '''simple docstring'''

           __a							=    Vector([1, 2, 3])
           __a							=    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 		_lowerCamelCase      (		self							:					Dict):


           '''simple docstring'''

           __a							=    Vector([1, 2, 3])
           __a							=    Vector([2, -1, 4])  # for test of dot product
           __a							=    Vector([1, -2, -1])
           self.assertEqual(str(x * 3.0)					,		'''(3.0,6.0,9.0)''')
           self.assertEqual((a * b)					,		0)



       def 		_lowerCamelCase      (		self							:					int):


           '''simple docstring'''

           self.assertEqual(str(zero_vector(10)).count('''0''')					,		10)



       def 		_lowerCamelCase      (		self							:					Optional[Any]):


           '''simple docstring'''

           self.assertEqual(str(unit_basis_vector(3					,		1))					,		'''(0,1,0)''')



       def 		_lowerCamelCase      (		self							:					Tuple):


           '''simple docstring'''

           __a							=    Vector([1, 2, 3])
           __a							=    Vector([1, 0, 1])
           self.assertEqual(str(axpy(2					,		__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE))					,		'''(3,4,7)''')



       def 		_lowerCamelCase      (		self							:					List[Any]):


           '''simple docstring'''

           __a							=    Vector([1, 0, 0, 0, 0, 0])
           __a							=    x.copy()
           self.assertEqual(str(__SCREAMING_SNAKE_CASE)					,		str(__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase      (		self							:					Optional[Any]):


           '''simple docstring'''

           __a							=    Vector([1, 0, 0])
           x.change_component(0					,		0)
           x.change_component(1					,		1)
           self.assertEqual(str(__SCREAMING_SNAKE_CASE)					,		'''(0,1,0)''')



       def 		_lowerCamelCase      (		self							:					str):


           '''simple docstring'''

           __a							=    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(__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase      (		self							:					Union[str, Any]):


           '''simple docstring'''

           __a							=    Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]					,		3					,		3)
           __a							=    [[-3, -14, -10], [-5, -10, -5], [-2, -1, 0]]
           for x in range(a.height()):
               for y in range(a.width()):
                   self.assertEqual(minors[x][y]					,		a.minor(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase      (		self							:					Dict):


           '''simple docstring'''

           __a							=    Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]					,		3					,		3)
           __a							=    [[-3, 14, -10], [5, -10, 5], [-2, 1, 0]]
           for x in range(a.height()):
               for y in range(a.width()):
                   self.assertEqual(cofactors[x][y]					,		a.cofactor(__SCREAMING_SNAKE_CASE					,		__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase      (		self							:					str):


           '''simple docstring'''

           __a							=    Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]					,		3					,		3)
           self.assertEqual(-5					,		a.determinant())



       def 		_lowerCamelCase      (		self							:					Optional[Any]):


           '''simple docstring'''

           __a							=    Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]					,		3					,		3)
           __a							=    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 		_lowerCamelCase      (		self							:					str):


           '''simple docstring'''

           __a							=    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(__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase      (		self							:					Optional[int]):


           '''simple docstring'''

           __a							=    Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]					,		3					,		3)
           self.assertEqual(7					,		a.component(2					,		1)					,		0.01)



       def 		_lowerCamelCase      (		self							:					List[str]):


           '''simple docstring'''

           __a							=    Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]					,		3					,		3)
           __a							=    Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]					,		3					,		3)
           self.assertEqual('''|2,4,10|\n|4,8,10|\n|12,14,18|\n'''					,		str(a + b))



       def 		_lowerCamelCase      (		self							:					Dict):


           '''simple docstring'''

           __a							=    Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]					,		3					,		3)
           __a							=    Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]					,		3					,		3)
           self.assertEqual('''|0,0,-4|\n|0,0,0|\n|0,0,-2|\n'''					,		str(a - b))





       def 		_lowerCamelCase      (		self							:					Optional[int]):


           '''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 numpy as np
import pandas as pd
from sklearn.preprocessing import Normalizer
from sklearn.svm import SVR
from statsmodels.tsa.statespace.sarimax import SARIMAX





def 					__snake_case     (      _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase    ):
    __a							=    np.array([[1, item, train_mtch[i]] for i, item in enumerate(_UpperCAmelCase    )]    )
    __a							=    np.array(_UpperCAmelCase    )
    __a							=    np.dot(np.dot(np.linalg.inv(np.dot(x.transpose()       ,			_UpperCAmelCase    )    )       ,			x.transpose()    )       ,			_UpperCAmelCase    )
    return abs(beta[0] + test_dt[0] * beta[1] + test_mtch[0] + beta[2]    )





def 					__snake_case     (      _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase    ):
    __a							=    (1, 2, 1)
    __a							=    (1, 1, 0, 7)
    __a							=    SARIMAX(
        _UpperCAmelCase       ,			exog=_UpperCAmelCase       ,			order=_UpperCAmelCase       ,			seasonal_order=_UpperCAmelCase    )
    __a							=    model.fit(disp=_UpperCAmelCase       ,			maxiter=600       ,			method='''nm'''    )
    __a							=    model_fit.predict(1       ,			len(_UpperCAmelCase    )       ,			exog=[test_match]    )
    return result[0]





def 					__snake_case     (      _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase    ):
    __a							=    SVR(kernel='''rbf'''       ,			C=1       ,			gamma=0.1       ,			epsilon=0.1    )
    regressor.fit(_UpperCAmelCase       ,			_UpperCAmelCase    )
    __a							=    regressor.predict(_UpperCAmelCase    )
    return y_pred[0]





def 					__snake_case     (      _UpperCAmelCase    ):
    train_user.sort()
    __a							=    np.percentile(_UpperCAmelCase       ,			25    )
    __a							=    np.percentile(_UpperCAmelCase       ,			75    )
    __a							=    qa - qa
    __a							=    qa - (iqr * 0.1)
    return low_lim





def 					__snake_case     (      _UpperCAmelCase       ,			_UpperCAmelCase    ):
    __a							=    0
    __a							=    0
    for i in list_vote:
        if i > actual_result:
            __a							=    not_safe + 1
        else:
            if abs(abs(_UpperCAmelCase    ) - abs(_UpperCAmelCase    )    ) <= 0.1:
                safe += 1
            else:
                not_safe += 1
    return safe > not_safe


if __name__ == "__main__":
 # data_input_df = pd.read_csv("ex_data.csv", header=None)
 __snake_case						:Any						=					[[1_8231, 0.0, 1], [2_2621, 1.0, 2], [1_5675, 0.0, 3], [2_3583, 1.0, 4]]
 __snake_case						:List[Any]						=					pd.DataFrame(
     data_input, columns=['''total_user''', '''total_even''', '''days''']
 )
 __snake_case						:Dict						=					Normalizer().fit_transform(data_input_df.values)
 # split data
 __snake_case						:Any						=					normalize_df[:, 2].tolist()
 __snake_case						:Tuple						=					normalize_df[:, 0].tolist()
 __snake_case						:Union[str, Any]						=					normalize_df[:, 1].tolist()

 # for svr (input variable = total date and total match)
 __snake_case						:Tuple						=					normalize_df[:, [1, 2]].tolist()
 __snake_case						:List[str]						=					x[: len(x) - 1]
 __snake_case						:int						=					x[len(x) - 1 :]

 # for linear regression & sarimax
 __snake_case						:int						=					total_date[: len(total_date) - 1]
 __snake_case						:Dict						=					total_user[: len(total_user) - 1]
 __snake_case						:int						=					total_match[: len(total_match) - 1]

 __snake_case						:List[Any]						=					total_date[len(total_date) - 1 :]
 __snake_case						:Tuple						=					total_user[len(total_user) - 1 :]
 __snake_case						:List[str]						=					total_match[len(total_match) - 1 :]

 # voting system with forecasting
 __snake_case						:Optional[Any]						=					[
     linear_regression_prediction(
         trn_date, trn_user, trn_match, tst_date, tst_match
     ),
     sarimax_predictor(trn_user, trn_match, tst_match),
     support_vector_regressor(x_train, x_test, trn_user),
 ]

 # check the safety of today's data
 __snake_case						:Union[str, Any]						=					'''''' if data_safety_checker(res_vote, tst_user) else '''not '''
 print('''Today\'s data is {not_str}safe.''')





