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zmafyzfHE6(TafDOLx1X<(1a*UUB*y_+YbtngrLJ^aSF4<3^?<|LY=VoRwOD?Ri2C5 zT%t>ohmZF&NQn1H1=jL9mVI_KOjVSbJvD3FXAS5{>`Kh;b}W6Vp0+UQ=*$YT!x|U7 z6x6%hc{2W`5i&$Rxkc`UkBm!E^%Rt9gn2%06hhRVvFL;L@wdo@HXyu=zMxd?|K>>def delay_signal(signal, T): + for i in range(len(signal)): + signal[i] += T + return signal + +>>>vhod_signal = [1, 2, 3.69, 4, 5.32, 6.5, 7, 8] +>>>T_zad = 3 +>>>vyhod_signal = delay_signal(vhod_signal, T_zad) +>>>print(vyhod_signal) +[4, 5, 6.6899999999999995, 7, 8.32, 9.5, 10, 11] + +# 2 +import random +import matplotlib.pyplot as plt +def histogram(data, num): + min_val, max_val = min(data), max(data) + parts = np.linspace(min_val, max_val, num + 1) + rows = [0] * num + for now in data: + for i in range(num): + if parts[i] <= now < parts[i + 1]: + rows[i] += 1 + break + if now == max_val: + rows[-1] += 1 + plt.hist(data, bins=parts) + plt.xlabel('Значения выборки') + plt.ylabel('Число элементов') + plt.title('Гистограмма выборки') + plt.show() + return rows + +sl_vel = [random.gauss(random.random(), random.random()) for _ in range(random.randint(1,50))] +intervals = 5 +output = histogram(sl_vel, intervals) +print(output) +[4, 5, 18, 17, 5] + +# 3 +predict = lambda b1, b2, X: b1 + b2 * X +b1 = 0.5 +b2 = 0.8 +X = 5 +print(predict(b1, b2, X)) +4.5 +``` + +![График](figure_1.png)