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Traceback (most recent call last):
File "/path/to/some.py", line 33, in<module>
flcc = flcd.characterize_flares(ampl_bins=10, dur_bins=10)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/path/to/AltaiPony/altaipony/flarelc.py", line 947, in characterize_flares
flares = wrap_characterization_of_flares(flc.fake_flares, flc.flares,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/path/to/AltaiPony/altaipony/injrecanalysis.py", line 54, in wrap_characterization_of_flares
fl = fl.merge(flcc)
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/pandas/core/frame.py", line 9843, in merge
return merge(
^^^^^^
File "/usr/local/lib/python3.11/site-packages/pandas/core/reshape/merge.py", line 162, in merge
return op.get_result(copy=copy)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/pandas/core/reshape/merge.py", line 809, in get_result
join_index, left_indexer, right_indexer = self._get_join_info()
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/pandas/core/reshape/merge.py", line 1065, in _get_join_info
(left_indexer, right_indexer) = self._get_join_indexers()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/pandas/core/reshape/merge.py", line 1038, in _get_join_indexers
return get_join_indexers(
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/pandas/core/reshape/merge.py", line 1665, in get_join_indexers
zipped = zip(*mapped)
^^^^^^^^^^^^
File "/usr/local/lib/python3.11/site-packages/pandas/core/reshape/merge.py", line 1662, in<genexpr>
_factorize_keys(left_keys[n], right_keys[n], sort=sort, how=how)
File "/usr/local/lib/python3.11/site-packages/pandas/core/reshape/merge.py", line 2442, in _factorize_keys
llab = rizer.factorize(lk) # type: ignore[arg-type]
^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/hashtable.pyx", line 122, in pandas._libs.hashtable.ObjectFactorizer.factorize
File "pandas/_libs/hashtable_class_helper.pxi", line 7288, in pandas._libs.hashtable.PyObjectHashTable.get_labels
File "pandas/_libs/hashtable_class_helper.pxi", line 7194, in pandas._libs.hashtable.PyObjectHashTable._unique
TypeError: unhashable type: 'MaskedNDArray'
I get it when I call characterize_flares() function.
A script to reproduce the problem
fromaltaipony.lcioimportfrom_mastimportpandasflc=from_mast(
"Kepler-114",
mode="LC",
cadence="short",
mission="Kepler"
)
forjinrange(len(flc)):
print(f"\n--- {j} ---\n")
# detrend curveflcd=flc[j].detrend("savgol")
# find flaresflcd=flcd.find_flares(N1=3, N2=1, N3=3, minsep=3)
flcdpanda=flcd.flares# print(flcdpanda)ifnotflcdpanda.empty:
# injection of simulated flaresflcd, fakeflc=flcd.sample_flare_recovery(
inject_before_detrending=True,
mode="savgol",
iterations=20,
fakefreq=2,
ampl=[1e-4, 0.5],
dur=[.001/6., 0.1/6.]
)
print(f"Total number of injected flares is {flcd.fake_flares.shape[0]}")
# here it failsflcc=flcd.characterize_flares(ampl_bins=10, dur_bins=10)
else:
print("DataFrame is empty, no flares")
Since it was working fine before in older versions of AltaiPony (the ones using older Astropy depedcency, such as v4.3.1), this problem is likely caused by something from newer Astropy versions.
This problem can be reproduced after #77 is fixed.
There is some error in wrap_characterization_of_flares() function on the line
fl = fl.merge(flcc)
:Full error output, just in case
I get it when I call
characterize_flares()
function.A script to reproduce the problem
Since it was working fine before in older versions of AltaiPony (the ones using older Astropy depedcency, such as v4.3.1), this problem is likely caused by something from newer Astropy versions.
Tested with aa6ba8d revision.
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