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Hi Alex! very nice to see SAMap getting some love and the codebase being modernized. I was trying to run some older code, and had an issue running SAMap. My environment is on Python 3.11.14, with Numpy v2.3.5, SciPy 1.17.0 and Pandas 3.0.0.
In particular, when I call the SAMap function
sm = SAMAP(sams, f_maps = base + "aln/",)I get the following attribute error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[9], [line 3](vscode-notebook-cell:?execution_count=9&line=3)
1 sams = {"afas": afas, "pdum": pdum}
----> [3](vscode-notebook-cell:?execution_count=9&line=3) sm = SAMAP(
4 sams,
5 f_maps = base + "aln/",
6 )
File /opt/homebrew/Caskroom/miniforge/base/envs/samap_minimal/lib/python3.11/site-packages/samap/core/mapping.py:170, in SAMAP.__init__(self, sams, f_maps, names, keys, resolutions, gnnm, save_processed, eval_thr)
167 sams[sid] = sam
169 if gnnm is None:
--> 170 gnnm_matrix, gns, gns_dict = _calculate_blast_graph(
171 ids, f_maps=f_maps, reciprocate=True, eval_thr=eval_thr
172 )
173 if names is not None:
174 gnnm_matrix, gns_dict, gns = _coarsen_blast_graph(gnnm_matrix, gns, names)
File /opt/homebrew/Caskroom/miniforge/base/envs/samap_minimal/lib/python3.11/site-packages/samap/core/mapping.py:965, in _calculate_blast_graph(ids, f_maps, eval_thr, reciprocate)
963 A.index = pd.Index(gnind[A.index].values.flatten())
964 B.index = pd.Index(gnind[B.index].values.flatten())
--> 965 A[A.columns[0]] = gnind[A.iloc[:, 0].values.flatten()].values.flatten()
966 B[B.columns[0]] = gnind[B.iloc[:, 0].values.flatten()].values.flatten()
968 Arows = np.vstack((A.index, A.iloc[:, 0], A.iloc[:, i3])).T
AttributeError: 'StringArray' object has no attribute 'flatten'I tried the offending part with the example data:
A=pd.read_csv('/path/to/repos/SAMap/example_data/maps/plsc/pl_to_sc.txt',sep='\t',index_col=0,header=None)
B=pd.read_csv('/path/to/repos/SAMap/example_data/maps/plsc/sc_to_pl.txt',sep='\t',index_col=0,header=None)
data = B.iloc[:, 0].values.flatten()and get the same AttributeError so I think it's not a formatting issue or table reading issue on my side. Any ideas? In my environment I am getting a StringArray for B.iloc[:, 0].values, which is already one-dimensional and iterable, so I know how to fix locally, but I wonder if this is intended.
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