if __name__ == '__main__':
    N = 30
    T = 4
    D = 2
    x = np.random.uniform(low=-1, high=1, size=N)
    x[0] = 1
    x = np.cumsum(x)
    print(x)
    index = []
    mins = argrelextrema(x, np.less)[0]
    maxs = argrelextrema(x[mins[0]+T:], np.greater)[0]
    index.append(mins[0])
    i = 0
    for j in range(maxs.shape[0]):
        if maxs[j] - mins[i] >= D and j - i >= T:
            index.append(maxs[j])
        for i in range(1, mins.shape[0]):
            if maxs[j] - mins[i] >= D and j - i >= T:
                index.append(mins[i])
                break
    print(mins, '\n', maxs)
    print(index)