DUET find_peaks() function generates an error

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Function, as written on the page: static find_peaks(data, min_thr=0.5, min_dist=None, max_num=1)
In (#45) I worked an example of find_peaks using Repet. I used the same example in this Duet version.
duet = Duet(signal, 2)
data = np.array([0,0,.2,.5,1,1,0,1,0,1,0])
peaks_indices = repet1.find_peaks(data)

I assumed this would work exactly like the Repet example; however, this threw the following exception:

The document lists min_dist as an optional parameter, stating that the find_peaks() function handles it on its own by setting min_dist = .25 * matrix dimensions. However, the input data is supposed to be in the form of an np.array, which is inherently one-dimensional (i.e. the above example has a shape of (11,)). Line 252 in the function, the line calling the error, calls for data.shape[1], which in this case is None.

It's possible you copied over the code for find_peaks2() which is designed for matrix input. But find_peaks() asks for "a row vector of positive values (in [0,1]) and finds the peak values and corresponding indices."