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


lowerCamelCase__     , lowerCamelCase__     , lowerCamelCase__     , lowerCamelCase__ :       int						     =			train_test_split(X, y, test_size=0.2, random_state=0)


lowerCamelCase__ :       Union[str, Any]						     =			PolynomialFeatures(degree=4)
lowerCamelCase__ :       List[str]						     =			poly_reg.fit_transform(X)
lowerCamelCase__ :       Tuple						     =			LinearRegression()
pol_reg.fit(X_poly, y)





def __A						(   )->							List[Any]:




		'''simple docstring'''






		plt.scatter(a_		,		a_		,		color='''red'''     )
		plt.plot(a_		,		pol_reg.predict(poly_reg.fit_transform(a_     )     )		,		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"""






from __future__ import annotations

from fractions import Fraction





def __A						(   a_ :							int		,		a_ :							int     )->							bool:




		'''simple docstring'''






		return (
		    num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
		)





def __A						(   a_ :							int     )->							list[str]:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Union[str, Any]				= []
		SCREAMING_SNAKE_CASE       :     List[str]				= 11
		SCREAMING_SNAKE_CASE       :     Union[str, Any]				= int('''1''' + '''0''' * digit_len     )
		for num in range(a_		,		a_     ):
				while den <= 99:
						if (num != den) and (num % 10 == den // 10) and (den % 10 != 0):
								if is_digit_cancelling(a_		,		a_     ):
										solutions.append(F"{num}/{den}"     )
						den += 1
				num += 1
				SCREAMING_SNAKE_CASE       :     Optional[Any]				= 10
		return solutions





def __A						(   a_ :							int = 2     )->							int:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Optional[Any]				= 1.0
		for fraction in fraction_list(a_     ):
				SCREAMING_SNAKE_CASE       :     List[str]				= Fraction(a_     )
				result *= frac.denominator / frac.numerator
		return int(a_     )


if __name__ == "__main__":
					print(solution())





