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


SCREAMING_SNAKE_CASE_,				SCREAMING_SNAKE_CASE_,				SCREAMING_SNAKE_CASE_,				SCREAMING_SNAKE_CASE_:     str  =train_test_split(X, y, test_size=0.2, random_state=0)


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





def 	lowerCAmelCase_				(					)    ->      Tuple:


     '''simple docstring'''




     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'''





import math





def 	lowerCAmelCase_				(					)    ->      None:


     '''simple docstring'''




     UpperCAmelCase_           =   input("Enter message: "			)
     UpperCAmelCase_           =   int(input(f"""Enter key [2-{len(snake_case_			) - 1}]: """			)			)
     UpperCAmelCase_           =   input("Encryption/Decryption [e/d]: "			)

     if mode.lower().startswith("e"			):
          UpperCAmelCase_           =   encrypt_message(snake_case_					,    snake_case_			)
     elif mode.lower().startswith("d"			):
          UpperCAmelCase_           =   decrypt_message(snake_case_					,    snake_case_			)

     # Append pipe symbol (vertical bar) to identify spaces at the end.
     print(f"""Output:\n{text + "|"}"""			)





def 	lowerCAmelCase_				(					snake_case_       : int					,    snake_case_       : str			)    ->      str:


     '''simple docstring'''




     UpperCAmelCase_           =   [""] * key
     for col in range(snake_case_			):
          UpperCAmelCase_           =   col
          while pointer < len(snake_case_			):
               cipher_text[col] += message[pointer]
               pointer += key
     return "".join(snake_case_			)





def 	lowerCAmelCase_				(					snake_case_       : int					,    snake_case_       : str			)    ->      str:


     '''simple docstring'''




     UpperCAmelCase_           =   math.ceil(len(snake_case_			) / key			)
     UpperCAmelCase_           =   key
     UpperCAmelCase_           =   (num_cols * num_rows) - len(snake_case_			)
     UpperCAmelCase_           =   [""] * num_cols
     UpperCAmelCase_           =   0
     UpperCAmelCase_           =   0

     for symbol in message:
          plain_text[col] += symbol
          col += 1

          if (
              (col == num_cols)
              or (col == num_cols - 1)
              and (row >= num_rows - num_shaded_boxes)
          ):
               UpperCAmelCase_           =   0
               row += 1

     return "".join(snake_case_			)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()




