Поиск и нахождение закономерности между двумя массивами

wav = wave.open('****/2.wav', mode="r")
(nchannels, sampwidth, framerate, nframes, comptype, compname) = wav.getparams()
 
duration = nframes / framerate
coun = 2 if duration > 3000 else 3 if duration > 2000 else 4 if duration > 1000 else 5 if duration > 600 else 8 if duration > 300 else 9
w, h = duration*coun, 100
DPI = 80 
ms = np.frombuffer(wav.readframes(nframes), dtype={1: np.int8, 2: np.int16, 4: np.int32}[sampwidth])[0::int(nframes/w*4)]

plt.figure(figsize=(float(w)/DPI, float(h)/DPI), dpi=DPI)
plt.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=0)
plt.axis('off')
plt.margins(0)
plt.plot(ms)
plt.savefig(f'***/1111.png', dpi=DPI)

# Читать основное изображение
#img_rgb = cv2.imread(f'{patch}1111.png')
img_rgb = cv2.imdecode(np.frombuffer(im.getvalue(), np.uint8), cv2.IMREAD_UNCHANGED)
# Прочитайте шаблон
template = cv2.imread(f'{patch}6-spectrogram/22222.png',0)
# Сохраняем ширину и высоту шаблона в ш и ч
w, h = template.shape[::-1]
# Преобразовать его в оттенки серого/ Выполнять операции сопоставления.
res = cv2.matchTemplate(cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY),template,cv2.TM_CCOEFF_NORMED)
# Сохранять координаты совпадающей области в массиве
loc = np.where( res >= 0.8) 
# Нарисуйте прямоугольник вокруг соответствующей области.
for pt in zip(*loc[::-1]):
    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,255,255), 2)
#Сохраняем изображение
cv2.imwrite(f'{patch}finish.png', img_rgb)

wav = wave.open('****/2.wav', mode="r")
(nchannels, sampwidth, framerate, nframes, comptype, compname) = wav.getparams()
 
duration = nframes / framerate
coun = 2 if duration > 3000 else 3 if duration > 2000 else 4 if duration > 1000 else 5 if duration > 600 else 8 if duration > 300 else 9
w, h = duration*coun, 100
DPI = 80 
ms = np.frombuffer(wav.readframes(nframes), dtype={1: np.int8, 2: np.int16, 4: np.int32}[sampwidth])[0::int(nframes/w*4)]

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import numpy as np
"............................"
"............................"
file1 = np.array(ms)
file2 = np.array(msuser)
n = len(file1)
m = len(file2)
minn = int(m * 0.7)
for i in range(n - m - 1):
    k = np.equal(file1[i : i + m], file2)
    mm = (k == True).sum()
    if mm > minm :
        print(i)
        break
print(k)

wav = wave.open('****/2.wav', mode="r")
(nchannels, sampwidth, framerate, nframes, comptype, compname) = wav.getparams()
 
duration = nframes / framerate
w, h = duration, 100
DPI = 80 
ms = np.frombuffer(wav.readframes(nframes), dtype={1: np.int8, 2: np.int16, 4: np.int32}[sampwidth])[0::int(nframes/w*4)]