




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


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


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



def      UpperCamelCase__   (						):
		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      UpperCamelCase_						(					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"""      )

 __lowerCAmelCase											=						str(bin(snake_case_      )      )[2:]  # remove the leading "0b"
 __lowerCAmelCase											=						str(bin(snake_case_      )      )[2:]  # remove the leading "0b"

 __lowerCAmelCase											=						max(len(snake_case_      )						,		len(snake_case_      )      )

 return "0b" + "".join(
     str(int(char_a == """1""" and char_b == """1"""      )      )
     for char_a, char_b in zip(a_binary.zfill(snake_case_      )						,		b_binary.zfill(snake_case_      )      )      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






