





'''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			,	_SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			,	_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 						__a():



    '''simple docstring'''





    plt.scatter(SCREAMING_SNAKE_CASE_		,							SCREAMING_SNAKE_CASE_		,							color="red"     )
    plt.plot(SCREAMING_SNAKE_CASE_		,							pol_reg.predict(poly_reg.fit_transform(SCREAMING_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'''
from math import ceil


def       _lowercase							(					UpperCamelCase__							:       int = 1001      ):
 __A	:		int	  =      1

 for i in range(1,					int(ceil(n / 2.0      )      )      ):
  __A	:		Any	  =      2 * i + 1
  __A	:		List[str]	  =      2 * i
  __A	:		str	  =      total + 4 * odd**2 - 6 * even

 return total


if __name__ == "__main__":
 import sys

 if len(sys.argv) == 1:
  print(solution())
 else:
  try:
   UpperCAmelCase_			:  int										=   int(sys.argv[1])
   print(solution(n))
  except ValueError:
   print('Invalid entry - please enter a number')






