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


lowercase__						,  lowercase__						,  lowercase__						,  lowercase__	:Union[str, Any]										=					train_test_split(X, y, test_size=0.2, random_state=0)


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



def  UpperCamelCase					(							):
					'''simple docstring'''
					plt.scatter(lowerCAmelCase__				,    lowerCAmelCase__				,    color='''red'''	)
					plt.plot(lowerCAmelCase__				,    pol_reg.predict(poly_reg.fit_transform(lowerCAmelCase__	)	)				,    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






class        lowercase	:




							def __init__(       self     ,A__):
												lowercase					=		val
												lowercase					=		None
												lowercase					=		None





							def 				A__   (       self     ,A__):
												if self.val:
																	if val < self.val:
																						if self.left is None:
																											lowercase					=		Node(A__)
																						else:
																											self.left.insert(A__)
																	elif val > self.val:
																						if self.right is None:
																											lowercase					=		Node(A__)
																						else:
																											self.right.insert(A__)
												else:
																	lowercase					=		val



def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__	):
					'''simple docstring'''
					# Recursive traversal
					if root:
										inorder(root.left				,    lowerCAmelCase__	)
										res.append(root.val	)
										inorder(root.right				,    lowerCAmelCase__	)



def  UpperCamelCase					(							lowerCAmelCase__	):
					'''simple docstring'''
					# Build BST
					if len(lowerCAmelCase__	) == 0:
										return arr
					lowercase					=		Node(arr[0]	)
					for i in range(1				,    len(lowerCAmelCase__	)	):
										root.insert(arr[i]	)
					# Traverse BST in order.
					lowercase					=		[]
					inorder(lowerCAmelCase__				,    lowerCAmelCase__	)
					return res


if __name__ == "__main__":
							print(tree_sort([10, 1, 3, 2, 9, 14, 13]))




