import numpy as np
import scipy.optimize as scipy

np.set_printoptions(precision = 4)
np.set_printoptions(suppress = True)

#zad1
A =[[4, 3],
    [1, 1],
    [-1, 0],
    [0, -1]]


b = [190, 55, 0, 0]
c = [-23, -17]

res = scipy.linprog(c, A, b).x
result = 23 * res[0] + 17 * res[1]


print("Task 1")
print("x vector:", res)
print("Result for F(x) function:", result)
print("###################################\n")


#zad2
A =[[4, 3],
    [1, 1],
    [-1, 0],
    [0, -1],
    [1, 0]]


b = [190, 55, 0, 0, 47]
c = [-23, -17]

res = scipy.linprog(c, A, b).x
result = 23 * res[0] + 17 * res[1]


print("Task 2")
print("x vector:", res)
print("Result for F(x) function:", result)
print("###################################\n")

#zad3
A =[[4, 3],
    [1, 1],
    [-1, 0],
    [0, -1]]


b = [190, 55, -48, 0]
c = [-23, -17]

res = scipy.linprog(c, A, b).x
result = 23 * res[0] + 17 * res[1]

print("Task 3")
print("x vector:", res)
print("Result for F(x) function:", result)
print("###################################\n")