.motifs no longer returning more than one motif

[waynedam]

I was finding this problem in my own work. Only one motif was being returned when there were at least two apparent in the time series.

I tried reproducing the example discussed in #438 where the motifs function properly returns multiple motifs but I find now it no longer does. I used the data provided in issue #438.

The csv file:
RoomA_CO2.csv

import csv
import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [20, 6]  # width, height
plt.rcParams['xtick.direction'] = 'out'

co2 = []
with open('./RoomA_CO2.csv') as csvfile:
    reader = csv.DictReader(csvfile, delimiter=';')
    for row in reader:
        if len(row['CO2-Concentration (in ppm)'].strip()) > 0:
            co2.append(float(row['CO2-Concentration (in ppm)']))

m = 24
c = np.array(co2)
p = stumpy.stump(c, m)

dists, inde = stumpy.motifs(c, p[:, 0], max_motifs=2)

fig, axs = plt.subplots(2, sharex=True, gridspec_kw={'hspace': 0})
plt.suptitle('Motif (Pattern) Discovery', fontsize='30')
axs[0].plot(co2)
axs[0].set_ylabel('CO2 ppm', fontsize='20')

cols = ['red' , 'green', 'blue' ]

for z in range(0, inde.shape[0]):
    col = cols[z]
    start = inde[z, 0]
    stop = inde[z, 0] + m
    matches = stumpy.match(c[start:stop],c, max_distance=2.0)
    for mt in range(matches.shape[0]):
        s = matches[mt, 1]
        st = s + m
        axs[0].plot(np.arange(s, st), c[s : st], c=col)

axs[1].plot(p[:, 0])
axs[1].set_ylabel('Matrix profile', fontsize='20')
plt.show()

I understand the stumpy.match is not necessary but the stumpy.motifs only returns a single motif row.

inde.shape
(1,4)
inde
[39,179,77,223]

The fifth match in the plot around 125 is from the stumpy.matches.

I tried changing distance parameters, etc., but nothing seems to make a difference.

Has something changed in the version 1.11.1 stumpy.motifs that is not reflected in the documentation?
I noticed someone having an issue with stumpy.config.STUMPY_EXCL_ZONE_DENOM config in #780.