def get_arrage_status(name):
    model1 = CatBoostClassifier()
    model1.load_model("catboost_detect")
    a, num = add_data(name)
    img_data = np.array(a)
    img_data /= 255
    out_pred = model.predict_proba(img_data)
    s = ""
    uv = []
    out = ''
    for i in out_pred:
        #print(i)
        s += str(i.argmax())
        uv.append(i.max())
    k = len(s) // num
    #print(len(s))
    l = 0
    s += '9'
    r = 0
    c = '9'
    arr = []
    for i in s:
        if(i == '0'):
            c = '9'
        if i!=c:
            arr.append(l)
            c = i;
            l = 1
        else:
            l += 1
    arr.sort()
    arr.reverse()
    metric = np.array(arr[:5]).sum()
    return metric
    #print(metric)
#     for i in range(num):
#         for j in range(k):
#             out += s[r]
#             r+=1
#         out +='\n'

# print(out)