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


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


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







def        A_     (						)				->       Dict:





  """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'''
A__   :		int 		=8.3_1_4_4_6_2  # Unit - J mol-1 K-1







def        A_     (						__SCREAMING_SNAKE_CASE						:  float			,     __SCREAMING_SNAKE_CASE						:  float			,     __SCREAMING_SNAKE_CASE						:  float )				->       float:





  """simple docstring"""

  if moles < 0 or kelvin < 0 or volume < 0:
    raise ValueError("""Invalid inputs. Enter positive value.""" )
  return moles * kelvin * UNIVERSAL_GAS_CONSTANT / volume







def        A_     (						__SCREAMING_SNAKE_CASE						:  float			,     __SCREAMING_SNAKE_CASE						:  float			,     __SCREAMING_SNAKE_CASE						:  float )				->       float:





  """simple docstring"""

  if moles < 0 or kelvin < 0 or pressure < 0:
    raise ValueError("""Invalid inputs. Enter positive value.""" )
  return moles * kelvin * UNIVERSAL_GAS_CONSTANT / pressure


if __name__ == "__main__":
     from doctest import testmod

     testmod()



