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When running update_inclusive_columns on various datasets with a row MultiIndex, the function errors with an AttributeError. I originally discovered this while testing profiles associated with DYAD. I've managed to reproduce using HPCToolkit data in the Hatchet unit tests, but I'm not sure if HPCToolkit is still supported due to changes in the database format. So, I've attached the Caliper file from my DYAD testing. Because of GitHub requirements, I had to convert the file to a .txt file. It can be converted back into a .cali file by just changing the file extension. The code to reproduce is simply:
On Corona, this fails with the following traceback:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/WS2/lumsden1/hatchet/hatchet/graphframe.py", line 883, in update_inclusive_columns
self.subgraph_sum(self.exc_metrics, self.inc_metrics)
File "/usr/WS2/lumsden1/hatchet/hatchet/graphframe.py", line 725, in subgraph_sum
self.subtree_sum(columns, out_columns, function)
File "/usr/WS2/lumsden1/hatchet/hatchet/graphframe.py", line 694, in subtree_sum
self.dataframe.loc[df_index1, col] = function(
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/indexing.py", line 814, in __setitem__
indexer = self._get_setitem_indexer(key)
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/indexing.py", line 692, in _get_setitem_indexer
return ax.get_loc(key)
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/indexes/multi.py", line 2945, in get_loc
start, stop = self.slice_locs(lead_key, lead_key)
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/indexes/multi.py", line 2775, in slice_locs
return super().slice_locs(start, end, step)
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/indexes/base.py", line 6810, in slice_locs
start_slice = self.get_slice_bound(start, "left")
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/indexes/multi.py", line 2714, in get_slice_bound
return self._partial_tup_index(label, side=side)
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/indexes/multi.py", line 2793, in _partial_tup_index
loc = algos.searchsorted(lev, lab, side=side)
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/algorithms.py", line 1665, in searchsorted
return arr.searchsorted(value, side=side, sorter=sorter) # type: ignore[arg-type]
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/base.py", line 1298, in searchsorted
return algorithms.searchsorted(
File "/collab/usr/gapps/python/build/spack-toss4.2/var/spack/environments/python310/._view/i74j3perqsso644fvgbrjnzhyuvpn42l/lib/python3.10/site-packages/pandas/core/algorithms.py", line 1665, in searchsorted
return arr.searchsorted(value, side=side, sorter=sorter) # type: ignore[arg-type]
File "/usr/WS2/lumsden1/hatchet/hatchet/node.py", line 197, in __lt__
return self._hatchet_nid < other._hatchet_nid
AttributeError: 'int' object has no attribute '_hatchet_nid'
When running
update_inclusive_columns
on various datasets with a rowMultiIndex
, the function errors with anAttributeError
. I originally discovered this while testing profiles associated with DYAD. I've managed to reproduce using HPCToolkit data in the Hatchet unit tests, but I'm not sure if HPCToolkit is still supported due to changes in the database format. So, I've attached the Caliper file from my DYAD testing. Because of GitHub requirements, I had to convert the file to a.txt
file. It can be converted back into a.cali
file by just changing the file extension. The code to reproduce is simply:On Corona, this fails with the following traceback:
cons.txt
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