TypeError: _nnls.nnls() missing required argument 'n' (pos 3)

[andreyurch]

X = pd.read_csv('simulated_example.Skin.Melanoma.X.csv', index_col=0)
X.head()

     SP124323  SP124281  SP124389  SP124362  SP124394  SP124380  SP124399  SP124311  SP124434  SP124428  SP124298  SP124431  ...  SP124391  SP124264  SP124271  SP124336  SP124441  SP124291  SP82471  SP124353  SP113197  SP83027  SP124351  SP124458

Type ...
A[C>A]A 60 49 75 129 54 187 223 278 153 184 387 189 ... 106 279 296 163 265 84 101 41 62 62 12 101
A[C>A]C 45 31 57 49 27 94 165 148 98 78 99 86 ... 84 190 198 86 148 59 68 38 44 56 13 37
A[C>A]G 9 4 9 23 15 40 37 38 31 23 49 22 ... 12 17 29 20 31 9 10 2 9 6 4 11
A[C>A]T 32 26 40 86 45 107 150 132 93 97 163 97 ... 61 156 139 81 140 48 53 33 39 36 12 44
C[C>A]A 823 789 60 120 119 145 168 150 92 170 242 93 ... 314 340 271 557 315 86 166 145 120 112 23 79

[5 rows x 107 columns]

model = musical.DenovoSig(X,
... min_n_components=1, # Minimum number of signatures to test
... max_n_components=6, # Maximum number of signatures to test
... init='random', # Initialization method
... method='mvnmf', # mvnmf or nmf
... n_replicates=20, # Number of mvnmf/nmf replicates to run per n_components
... ncpu=38, # Number of CPUs to use
... max_iter=100000, # Maximum number of iterations for each mvnmf/nmf run
... bootstrap=True, # Whether or not to bootstrap X for each run
... tol=1e-8, # Tolerance for claiming convergence of mvnmf/nmf
... verbose=1, # Verbosity of output
... normalize_X=False # Whether or not to L1 normalize each sample in X before mvnmf/nmf
... )
model.fit()
Extracting signatures for n_components = 1..................

multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/multiprocessing/pool.py", line 44, in mapstar
return list(map(*args))
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/site-packages/musical/mvnmf.py", line 406, in _job
model.fit()
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/site-packages/musical/mvnmf.py", line 305, in fit
H = nnls(self.X, W)
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/site-packages/musical/nnls.py", line 11, in nnls
h, _ = sp.optimize.nnls(W, x)
TypeError: _nnls.nnls() missing required argument 'n' (pos 3)
"""

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

Traceback (most recent call last):
File "", line 1, in
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/site-packages/musical/denovo.py", line 869, in fit
self._run_jobs()
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/site-packages/musical/denovo.py", line 750, in _run_jobs
model.fit()
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/site-packages/musical/mvnmf.py", line 443, in fit
models = workers.map(self._job, list(self.lambda_tilde_grid))
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/multiprocessing/pool.py", line 268, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/mnt/beegfs/userdata/id12439/APP/anaconda3/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
TypeError: _nnls.nnls() missing required argument 'n' (pos 3)