This error was a result of running a modified version of Example1.ipynb with d_max=3, eta_earth=0.01 added to the parameters to analysis.test_hypothesis_grid() in the code cell directly under "Computing statistical power". It consistently occurred every time I ran the notebook.
This may be related to #46. I cannot attach the test notebook to this issue, but I will provide it in Slack.
Error
Note: During testing, I made changes to Hypothesis.fit() that added some debugging output to the error message.
30%|██▉ | 59/200 [00:35<01:24, 1.67it/s]
Interrupted, terminating remaining processes
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/Users/bioversedev/Documents/GitHub/bioverse/bioverse/hypothesis.py", line 295, in fit
theta_opt, theta_opt_null = chains[np.argmax(loglikes)], np.mean(Y, axis=0)
^^^^^^^^^^^^^^^^^^^
File "/Users/bioversedev/miniconda3/envs/biodev/lib/python3.12/site-packages/numpy/core/fromnumeric.py", line 1229, in argmax
return _wrapfunc(a, 'argmax', axis=axis, out=out, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/bioversedev/miniconda3/envs/biodev/lib/python3.12/site-packages/numpy/core/fromnumeric.py", line 59, in _wrapfunc
return bound(*args, **kwds)
^^^^^^^^^^^^^^^^^^^^
ValueError: attempt to get argmax of an empty sequence
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/bioversedev/miniconda3/envs/biodev/lib/python3.12/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
^^^^^^^^^^^^^^^^^^^
File "/Users/bioversedev/Documents/GitHub/bioverse/bioverse/analysis.py", line 109, in test_hypothesis_grid_iter
results = h.fit(data, return_chains=return_chains, method=method, nlive=nlive, mw_alternative=mw_alternative)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/bioversedev/Documents/GitHub/bioverse/bioverse/hypothesis.py", line 297, in fit
raise ValueError(f"""chains: {chains}
ValueError: chains: []
loglikes: []
data:
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/bioversedev/Documents/GitHub/bioverse/bioverse/analysis.py", line 51, in test_hypothesis_grid
res = procs[idx].get()
^^^^^^^^^^^^^^^^
File "/Users/bioversedev/miniconda3/envs/biodev/lib/python3.12/multiprocessing/pool.py", line 774, in get
raise self._value
ValueError: chains: []
loglikes: []
data:
This error was a result of running a modified version of
Example1.ipynb
withd_max=3, eta_earth=0.01
added to the parameters toanalysis.test_hypothesis_grid()
in the code cell directly under "Computing statistical power". It consistently occurred every time I ran the notebook.This may be related to #46. I cannot attach the test notebook to this issue, but I will provide it in Slack.
Error
Note: During testing, I made changes to
Hypothesis.fit()
that added some debugging output to the error message.