[2022-11-30 08:24:51,804: INFO/MainProcess] Received task: analyze_search_terms[14fe8823-b764-45ca-8e00-1a1ab5a7643a]
[2022-11-30 08:24:51,806: INFO/ForkPoolWorker-3] Analyzing search query
[2022-11-30 08:24:51,807: INFO/ForkPoolWorker-3] Searching 1000 most cited publications matching rat scenic
[2022-11-30 08:24:53,956: INFO/ForkPoolWorker-3] Found 2 publications in the database
[2022-11-30 08:24:53,957: INFO/ForkPoolWorker-3] Expanding related papers by references
[2022-11-30 08:24:53,963: WARNING/ForkPoolWorker-3] /home/user/miniconda3/envs/pubtrends/lib/python3.10/site-packages/numpy/core/fromnumeric.py:3474: RuntimeWarning: Mean of empty slice.
return _methods._mean(a, axis=axis, dtype=dtype,
[2022-11-30 08:24:53,964: WARNING/ForkPoolWorker-3] /home/user/miniconda3/envs/pubtrends/lib/python3.10/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
[2022-11-30 08:24:53,964: WARNING/ForkPoolWorker-3] /home/user/miniconda3/envs/pubtrends/lib/python3.10/site-packages/numpy/core/_methods.py:264: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
[2022-11-30 08:24:53,964: WARNING/ForkPoolWorker-3] /home/user/miniconda3/envs/pubtrends/lib/python3.10/site-packages/numpy/core/_methods.py:222: RuntimeWarning: invalid value encountered in true_divide
arrmean = um.true_divide(arrmean, div, out=arrmean, casting='unsafe',
[2022-11-30 08:24:53,965: WARNING/ForkPoolWorker-3] /home/user/miniconda3/envs/pubtrends/lib/python3.10/site-packages/numpy/core/_methods.py:256: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
[2022-11-30 08:24:53,967: ERROR/ForkPoolWorker-3] Task analyze_search_terms[14fe8823-b764-45ca-8e00-1a1ab5a7643a] raised unexpected: ValueError('zero-size array to reduction operation maximum which has no identity')
Traceback (most recent call last):
File "/home/user/miniconda3/envs/pubtrends/lib/python3.10/site-packages/celery/app/trace.py", line 385, in trace_task
R = retval = fun(*args, **kwargs)
File "/home/user/miniconda3/envs/pubtrends/lib/python3.10/site-packages/celery/app/trace.py", line 650, in __protected_call__
return self.run(*args, **kwargs)
File "/home/user/pysrc/celery/tasks_main.py", line 40, in analyze_search_terms
ids = expand_ids(loader=loader, ids=ids, single_paper=False,
File "/home/user/pysrc/papers/analysis/expand.py", line 45, in expand_ids
cit_mean, cit_std = estimate_citations(ids, single_paper, loader,
File "/home/user/pysrc/papers/analysis/expand.py", line 142, in estimate_citations
logger.debug(f'Filtered citations min={np.mean(filtered)}, max={np.max(filtered)}, mean={mean}, std={std}')
File "<__array_function__ internals>", line 180, in amax
File "/home/user/miniconda3/envs/pubtrends/lib/python3.10/site-packages/numpy/core/fromnumeric.py", line 2791, in amax
return _wrapreduction(a, np.maximum, 'max', axis, None, out,
File "/home/user/miniconda3/envs/pubtrends/lib/python3.10/site-packages/numpy/core/fromnumeric.py", line 86, in _wrapreduction
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
ValueError: zero-size array to reduction operation maximum which has no identity