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yolksac_human.py

@@ -32,7 +32,7 @@ class RNAExp(datasets.ArrowBasedBuilder):
         self.batch = 1000
 
         # create a dictionary of features where raw_counts are ints and the rest are strings
-        features = {"raw_counts": datasets.features.Sequence(datasets.features.Value("int32")),"rows": datasets.features.Sequence(datasets.features.Value("int32")),"size":datasets.Value("int32")}
+        features = {"raw_counts": datasets.features.Sequence(datasets.features.Value("uint32")),"rows": datasets.features.Sequence(datasets.features.Value("uint32")),"size":datasets.Value("uint32")}
         for feature in FEATURES_TO_INCLUDE:
             if not features.get(feature):
                 features[feature] = datasets.Value("string")
@@ -71,9 +71,9 @@ class RNAExp(datasets.ArrowBasedBuilder):
 
             # raw counts
             if RAW_COUNTS == "X":
-                chunk = adata.X[batch:batch+batch_size].tolil().astype('int32')
+                chunk = adata.X[batch:batch+batch_size].tolil().astype('uint32')
             elif RAW_COUNTS == "raw.X":
-                chunk = adata.raw.X[batch:batch+batch_size].tolil().astype('int32')
+                chunk = adata.raw.X[batch:batch+batch_size].tolil().astype('uint32')
             else:
                 raise("Not valid raw_counts")
             df = pd.DataFrame([chunk.data,chunk.rows]).T