data.py

import numpy as np
import scipy.io

# Posso decidere se caricare i file tramite (scipy.io) o direttamente
# da una loro definizione letterale.

# folder = '2021_10_22'

# M = np.array(scipy.io.loadmat(folder+'/Dataset1_2D_Map.mat').get('Map'))

# U = np.array(scipy.io.loadmat(folder+'/Dataset1_2D_U.mat').get('U'))

# Z = np.array(scipy.io.loadmat(folder+'/Dataset1_2D_Z.mat').get('Z'))

M = np.array([[2, 2, 5],
              [2, 4, 4]])

U = np.array([[0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,
               0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,
               0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5],
              [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
               0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
               0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25]])

Z = np.array([[0.61659748,  0.75652042,  0.49749538,  1.6372404,  1.7226774,
               2.4900081,  3.1795533,  3.3772795,  4.0425195,  4.9749273,
               5.3598689,  6.3145103,  7.0069146,  7.0614836,  7.4660307,
               7.8943471,  8.555825,  9.4620999,  9.3833436, 10.500449,
               10.557889, 11.590932, 11.976205, 12.48852, 13.041897,
               13.703166, 14.243143, 14.891593, 15.847494, 16.360403],
              [3.0818036,  2.729577,  2.3507465,  2.4029545,  2.8547924,
               2.9949001,  3.2593926,  3.3847121,  4.0188575,  4.4006361,
               4.9798815,  5.661255,  5.8859889,  6.5552194,  6.4716342,
               7.5366574,  8.264737,  8.9332202,  8.861642,  9.6134187,
               10.512095, 10.893237, 11.817104, 11.83849, 12.437988,
               12.999846, 13.654211, 14.404994, 15.127159, 15.769144],
              [4.3682086,  3.886992,  3.2024298,  2.866071,  1.9621785,
               1.8909739,  0.89289862,  1.2269304,  1.5091353,  2.0496753,
               1.625311,  2.7647265,  2.8173948,  3.8100308,  3.9049983,
               4.3899751,  5.5140905,  5.4845039,  6.3783259,  6.8962385,
               7.5363392,  7.6425327,  8.1935637,  9.2586658, 10.096671,
               9.674948, 10.780746, 11.959056, 12.438097, 12.815845]])