fix: don't convert dense matrices to COO in feature_is_filtered validation (#1398)

Author: nayib-jose-gloria

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 6.0.0
+current_version = 6.0.1
 commit = True
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(?:-(?P<prerel>rc)\.(?P<prerelversion>\d+))?
 serialize = 

cellxgene_schema_cli/cellxgene_schema/__init__.py

@@ -1 +1 @@
-__version__ = "6.0.0"
+__version__ = "6.0.1"

cellxgene_schema_cli/cellxgene_schema/matrix_utils.py

@@ -63,12 +63,12 @@ def compute_column_sums(matrix: Union[DaskArray, np.ndarray, sparse.spmatrix]) -
     # Handle Dask array (could be sparse or dense)
     if isinstance(matrix, DaskArray):
 
-        def to_coo(chunk: Union[np.ndarray, sparse.spmatrix]) -> sp.COO:
+        def to_coo(chunk: Union[np.ndarray, sparse.spmatrix]) -> Union[sp.COO, np.ndarray]:
             # convert to sparse.COO, so we can use dask's internal chunked sum
             if sparse.issparse(chunk):
                 return sp.COO.from_scipy_sparse(chunk)
             else:
-                return sp.COO(chunk)
+                return chunk
 
         x_coo = matrix.map_blocks(to_coo, dtype=matrix.dtype)
 

cellxgene_schema_cli/setup.py

@@ -5,7 +5,7 @@
 
 setup(
     name="cellxgene-schema",
-    version="6.0.0",
+    version="6.0.1",
     url="https://github.com/chanzuckerberg/single-cell-curation",
     license="MIT",
     author="Chan Zuckerberg Initiative",