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Calling from_anndata raises when saving a zero-length string in uns.
uns
In [5]: ad Out[5]: AnnData object with n_obs × n_vars = 16245 × 32812 obs: 'nCount_RNA', 'nFeature_RNA', 'nCount_SCT', 'nFeature_SCT', 'tissue_ontology_term_id', 'assay_ontology_term_id', 'disease_ontology_term_id', 'cell_type_ontology_term_id', 'author_cell_type', 'development_stage_ontology_term_id', 'ethnicity_ontology_term_id', 'sex_ontology_term_id', 'is_primary_data', 'organism_ontology_term_id', 'cell_type', 'assay', 'disease', 'organism', 'sex', 'tissue', 'ethnicity', 'development_stage' var: 'feature_biotype', 'feature_is_filtered', 'feature_name', 'feature_reference' uns: 'X_normalization', 'genome_annotation_version', 'layer_descriptions', 'preprint_doi', 'publication_doi', 'schema_version', 'title' obsm: 'X_pca', 'X_tsne' In [6]: ad.uns['preprint_doi'] Out[6]: ''
And the stack crawl.
AnnData loaded: AnnData object with n_obs × n_vars = 16245 × 32812 obs: 'nCount_RNA', 'nFeature_RNA', 'nCount_SCT', 'nFeature_SCT', 'tissue_ontology_term_id', 'assay_ontology_term_id', 'disease_ontology_term_id', 'cell_type_ontology_term_id', 'author_cell_type', 'development_stage_ontology_term_id' , 'ethnicity_ontology_term_id', 'sex_ontology_term_id', 'is_primary_data', 'organism_ontology_term_id', 'cell_type', 'assay', 'disease', 'organism', 'sex', 'tissue', 'ethnicity', 'development_stage' var: 'feature_biotype', 'feature_is_filtered', 'feature_name', 'feature_reference' uns: 'X_normalization', 'genome_annotation_version', 'layer_descriptions', 'preprint_doi', 'publication_doi', 'schema_version', 'title' obsm: 'X_pca', 'X_tsne' START SOMA.from_ann START DECATEGORICALIZING FINISH DECATEGORICALIZING TIME 0.053 START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/X/data from <class 'scipy.sparse._csr.csr_matrix'> START __ingest_coo_data_string_dims_rows_chunked START chunk rows 0..9382 of 16245, obs_ids Cell_1..Cell_3821, nnz=10000976, 57.753% FINISH chunk TIME 12.674 START chunk rows 9383..16245 of 16245, obs_ids Cell_3822..Cell_9999, nnz=7756069, 100.000% FINISH chunk TIME 9.944 FINISH __ingest_coo_data_string_dims_rows_chunked TIME 23.527 FINISH WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/X/data TIME 23.570 START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/obs FINISH WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/obs TIME 0.160 START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/var FINISH WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/var TIME 0.075 START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/obsm/X_pca Annotation matrix obsm/X_pca has shape (16245, 50) FINISH WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/obsm/X_pca TIME 0.325 START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/obsm/X_tsne Annotation matrix obsm/X_tsne has shape (16245, 2) FINISH WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/obsm/X_tsne TIME 0.177 START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/raw START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/raw/X/data from <class 'scipy.sparse._csr.csr_matrix'> START __ingest_coo_data_string_dims_rows_chunked START chunk rows 0..9382 of 16245, obs_ids Cell_1..Cell_3821, nnz=10000976, 57.753% FINISH chunk TIME 12.246 START chunk rows 9383..16245 of 16245, obs_ids Cell_3822..Cell_9999, nnz=7756069, 100.000% FINISH chunk TIME 9.953 FINISH __ingest_coo_data_string_dims_rows_chunked TIME 23.113 FINISH WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/raw/X/data TIME 23.151 START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/raw/var FINISH WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/raw/var TIME 0.074 FINISH WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/raw TIME 23.232 START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns START WRITING NUMPY /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/X_normalization FINISH WRITING NUMPY /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/X_normalization TIME 0.021 START WRITING NUMPY /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/genome_annotation_version FINISH WRITING NUMPY /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/genome_annotation_version TIME 0.022 START WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/layer_descriptions START WRITING NUMPY /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/layer_descriptions/X FINISH WRITING NUMPY /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/layer_descriptions/X TIME 0.020 START WRITING NUMPY /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/layer_descriptions/raw.X FINISH WRITING NUMPY /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/layer_descriptions/raw.X TIME 0.020 FINISH WRITING /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/layer_descriptions TIME 0.044 START WRITING NUMPY /home/bruce/corpora-data-prod/45f3ac43-6466-4aae-886f-388d9a9014b1/local.soma/uns/preprint_doi Traceback (most recent call last): File "/home/bruce/TileDB-SingleCell/apis/python/temp/ingest_sweep.py", line 118, in <module> sys.exit(main()) File "/home/bruce/TileDB-SingleCell/apis/python/temp/ingest_sweep.py", line 43, in main sc.from_anndata(ad) File "/home/bruce/TileDB-SingleCell/apis/python/src/tiledbsc/soma.py", line 86, in from_anndata self.write_tiledb_group(anndata) File "/home/bruce/TileDB-SingleCell/apis/python/src/tiledbsc/soma.py", line 326, in write_tiledb_group self.write_uns_group(uns_group_uri, anndata.uns) File "/home/bruce/TileDB-SingleCell/apis/python/src/tiledbsc/soma.py", line 526, in write_uns_group util.numpyable_object_to_tiledb_array(value, component_uri, self.ctx) File "/home/bruce/TileDB-SingleCell/apis/python/src/tiledbsc/util.py", line 184, in numpyable_object_to_tiledb_array _write_numpy_ndarray_to_tiledb_array(arr, uri, ctx) File "/home/bruce/TileDB-SingleCell/apis/python/src/tiledbsc/util.py", line 197, in _write_numpy_ndarray_to_tiledb_array tiledb.from_numpy(uri=uri, array=arr, ctx=ctx) File "/home/bruce/TileDB-SingleCell/apis/python/venv/lib/python3.9/site-packages/tiledb/highlevel.py", line 91, in from_numpy return tiledb.DenseArray.from_numpy(uri, array, ctx=_get_ctx(ctx, config), **kwargs) File "tiledb/libtiledb.pyx", line 4157, in tiledb.libtiledb.DenseArrayImpl.from_numpy File "tiledb/libtiledb.pyx", line 4160, in tiledb.libtiledb.DenseArrayImpl.from_numpy File "tiledb/libtiledb.pyx", line 4478, in tiledb.libtiledb.DenseArrayImpl.__setitem__ File "tiledb/libtiledb.pyx", line 4558, in tiledb.libtiledb.DenseArrayImpl._setitem_impl File "tiledb/libtiledb.pyx", line 483, in tiledb.libtiledb._write_array File "tiledb/libtiledb.pyx", line 526, in tiledb.libtiledb._raise_ctx_err File "tiledb/libtiledb.pyx", line 511, in tiledb.libtiledb._raise_tiledb_error tiledb.cc.TileDBError: [TileDB::Filter] Error: FilterBuffer error; cannot init buffer: nullptr given.
The text was updated successfully, but these errors were encountered:
TileDB-Py bug when all list elements are the empty string:
TileDB-Py
>>> tiledb.from_numpy('test1', numpy.asarray(['a','b','c'], dtype='O')) DenseArray(uri='test1', mode=r, ndim=1) >>> tiledb.from_numpy('test2', numpy.asarray(['a','b',''], dtype='O')) DenseArray(uri='test2', mode=r, ndim=1) >>> tiledb.from_numpy('test3', numpy.asarray(['a'], dtype='O')) DenseArray(uri='test3', mode=r, ndim=1) >>> tiledb.from_numpy('test4', numpy.asarray([''], dtype='O')) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/tiledb/highlevel.py", line 91, in from_numpy return tiledb.DenseArray.from_numpy(uri, array, ctx=_get_ctx(ctx, config), **kwargs) File "tiledb/libtiledb.pyx", line 4174, in tiledb.libtiledb.DenseArrayImpl.from_numpy File "tiledb/libtiledb.pyx", line 4177, in tiledb.libtiledb.DenseArrayImpl.from_numpy File "tiledb/libtiledb.pyx", line 4495, in tiledb.libtiledb.DenseArrayImpl.__setitem__ File "tiledb/libtiledb.pyx", line 4575, in tiledb.libtiledb.DenseArrayImpl._setitem_impl File "tiledb/libtiledb.pyx", line 483, in tiledb.libtiledb._write_array File "tiledb/libtiledb.pyx", line 526, in tiledb.libtiledb._raise_ctx_err File "tiledb/libtiledb.pyx", line 511, in tiledb.libtiledb._raise_tiledb_error tiledb.cc.TileDBError: [TileDB::Filter] Error: FilterBuffer error; cannot init buffer: nullptr given.
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Also calls for a new unit-test case within tiledbsc-py
tiledbsc-py
TileDB-Inc/TileDB-Py#1089
Resolved now that scalars are saved as uns metadata.
johnkerl
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Calling from_anndata raises when saving a zero-length string in
uns
.And the stack crawl.
The text was updated successfully, but these errors were encountered: