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When using the nr_only flag with not enough events in the root file or using only a part of the file, then the probability is quite high that not a single entry is returned. For example, the context & config could look like this:
In this case, fuse dies dramatically with an unhelpful error message somewhere in the chunking:
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
No implementation of function Function(<function argsort at 0x1471345ecee0>) found for signature:
>>> argsort(array(int64, 3d, C))
There are 2 candidate implementations:
- Of which 2 did not match due to:
Overload of function 'argsort': File: numba/core/typing/npydecl.py: Line 368.
With argument(s): '(array(int64, 3d, C))':
No match.
During: resolving callee type: Function(<function argsort at 0x1471345ecee0>)
During: typing of call at .../fuse/fuse/common.py (30)
File ".../fuse/fuse/common.py", line 30:
def dynamic_chunking(data, scale, n_min):
idx_sort = np.argsort(data)
^
It would be helpful if an empty array would raise an error suggesting to go for more events or explaining what happened instead.
The text was updated successfully, but these errors were encountered:
When using the nr_only flag with not enough events in the root file or using only a part of the file, then the probability is quite high that not a single entry is returned. For example, the context & config could look like this:
In this case, fuse dies dramatically with an unhelpful error message somewhere in the chunking:
It would be helpful if an empty array would raise an error suggesting to go for more events or explaining what happened instead.
The text was updated successfully, but these errors were encountered: