unable to build singularity container, sklearn deprecated + test error

[jbrnfnd]

Hello,

I tried to create a singularity container from the definition file in #16 .
At first, I have to modify the definition file, as sklearn is not longer existing (or atleast is only an empty package).
So change sklearn to scikit-learn.
But now, the test step fails

Merging single values for matrix 0.23029708862304688 Gb
Converting to PyRanges
.....
======================================================================
ERROR: test_run_affinity_propagation (test_result_set.TestResultSet)
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multiprocess.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/usr/local/lib/python3.9/site-packages/multiprocess/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/usr/local/src/IBSpy-0.4.6/IBSpy/IBSpy_result_set.py", line 156, in
wrapped_function = lambda x: self._function_window_wrapper_tabix(x, function, chromosome, assembly = assembly)
File "/usr/local/src/IBSpy-0.4.6/IBSpy/IBSpy_result_set.py", line 116, in _function_window_wrapper_tabix
return function(m), chromosome, start, end
File "/usr/local/src/IBSpy-0.4.6/IBSpy/IBSpy_result_set.py", line 196, in run_single_run
raise ex
File "/usr/local/src/IBSpy-0.4.6/IBSpy/IBSpy_result_set.py", line 190, in run_single_run
runs = cluster_by_haplotype(gr, seed=seed, iterations=iterations, dampings=dampings, max_missing=max_missing, min_iterations=min_iterations)
File "/usr/local/src/IBSpy-0.4.6/IBSpy/window_affinity_propagation.py", line 168, in cluster_by_haplotype
desc_stats = descriptive_stats(gr)
File "/usr/local/src/IBSpy-0.4.6/IBSpy/window_affinity_propagation.py", line 121, in descriptive_stats
ret['skew'] = skew(melted['value'])
File "/usr/local/lib/python3.9/site-packages/scipy/stats/_axis_nan_policy.py", line 502, in axis_nan_policy_wrapper
res = hypotest_fun_out(*samples, **kwds)
File "/usr/local/lib/python3.9/site-packages/scipy/stats/_stats_py.py", line 1305, in skew
m2 = _moment(a, 2, axis, mean=mean)
File "/usr/local/lib/python3.9/site-packages/scipy/stats/_stats_py.py", line 1184, in moment
eps = np.finfo(a_zero_mean.dtype).resolution * 10
File "/usr/local/lib/python3.9/site-packages/numpy/core/getlimits.py", line 492, in new
raise ValueError("data type %r not inexact" % (dtype))
ValueError: data type <class 'numpy.object'> not inexact
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/usr/local/src/IBSpy-0.4.6/tests/test_result_set.py", line 165, in test_run_affinity_propagation
ret = ibspy_results.run_affinity_propagation()
File "/usr/local/src/IBSpy-0.4.6/IBSpy/IBSpy_result_set.py", line 214, in run_affinity_propagation
for best, chromosome, start, end in self.map_window_iterator_tabix(function= run_single_run, chromosome=chr):
File "/usr/local/src/IBSpy-0.4.6/IBSpy/IBSpy_result_set.py", line 160, in map_window_iterator_tabix
newlist = [x for x in res]
File "/usr/local/src/IBSpy-0.4.6/IBSpy/IBSpy_result_set.py", line 160, in
newlist = [x for x in res]
File "/usr/local/lib/python3.9/site-packages/multiprocess/pool.py", line 870, in next
raise value
ValueError: data type <class 'numpy.object_'> not inexact

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It would be nice from you to help me.

Regards
Jens