"""simple docstring"""
import pandas as pd
from matplotlib import pyplot as plt
from sklearn.linear_model import LinearRegression

# Splitting the dataset into the Training set and Test set
from sklearn.model_selection import train_test_split

# Fitting Polynomial Regression to the dataset
from sklearn.preprocessing import PolynomialFeatures

# Importing the dataset
SCREAMING_SNAKE_CASE__					  =     pd.read_csv(
    "https://s3.us-west-2.amazonaws.com/public.gamelab.fun/dataset/"
    "position_salaries.csv"
)
SCREAMING_SNAKE_CASE__					  =     dataset.iloc[:, 1:2].values
SCREAMING_SNAKE_CASE__					  =     dataset.iloc[:, 2].values


SCREAMING_SNAKE_CASE__					  =     train_test_split(X, y, test_size=0.2, random_state=0)


SCREAMING_SNAKE_CASE__					  =     PolynomialFeatures(degree=4)
SCREAMING_SNAKE_CASE__					  =     poly_reg.fit_transform(X)
SCREAMING_SNAKE_CASE__					  =     LinearRegression()
pol_reg.fit(X_poly, y)





def       lowerCAmelCase__			(	)    -> Tuple:





						"""simple docstring"""






						plt.scatter(snake_case_       ,	snake_case_       ,	color='red'    )
						plt.plot(snake_case_       ,	pol_reg.predict(poly_reg.fit_transform(snake_case_    )    )       ,	color='blue'    )
						plt.title('Truth or Bluff (Linear Regression)'    )
						plt.xlabel('Position level'    )
						plt.ylabel('Salary'    )
						plt.show()


if __name__ == "__main__":
					viz_polymonial()

					# Predicting a new result with Polymonial Regression
					pol_reg.predict(poly_reg.fit_transform([[5.5]]))
					# output should be 132148.43750003



'''simple docstring'''





def 	lowerCAmelCase_				(					snake_case_       : int					,    snake_case_       : int			)    ->      str:


     '''simple docstring'''




     if a < 0 or b < 0:
          raise ValueError("the value of both inputs must be positive"			)
     UpperCAmelCase_           =   str(bin(snake_case_			)			)[2:]  # remove the leading "0b"
     UpperCAmelCase_           =   str(bin(snake_case_			)			)[2:]
     UpperCAmelCase_           =   max(len(snake_case_			)					,    len(snake_case_			)			)
     return "0b" + "".join(
         str(int("1" in (char_a, char_b)			)			)
         for char_a, char_b in zip(a_binary.zfill(snake_case_			)					,    b_binary.zfill(snake_case_			)			)			)


if __name__ == "__main__":
    import doctest

    doctest.testmod()




