Fix typing issues with load/store_chunk in Python

Author: franzpoeschel

src/binding/python/RecordComponent.cpp

@@ -489,7 +489,14 @@ inline void store_chunk(
 
     check_buffer_is_contiguous(a);
 
-    // dtype_from_numpy(a.dtype())
+    if (!dtype_to_numpy(r.getDatatype()).is(a.dtype()))
+    {
+        std::stringstream err;
+        err << "Attempting store from Python array of type '"
+            << dtype_from_numpy(a.dtype())
+            << "' into Record Component of type '" << r.getDatatype() << "'.";
+        throw error::WrongAPIUsage(err.str());
+    }
     switchDatasetType<StoreChunkFromPythonArray>(
         r.getDatatype(), r, a, offset, extent);
 }
@@ -770,6 +777,15 @@ inline void load_chunk(
 
     check_buffer_is_contiguous(a);
 
+    if (!dtype_to_numpy(r.getDatatype()).is(a.dtype()))
+    {
+        std::stringstream err;
+        err << "Attempting load into Python array of type '"
+            << dtype_from_numpy(a.dtype())
+            << "' from Record Component of type '" << r.getDatatype() << "'.";
+        throw error::WrongAPIUsage(err.str());
+    }
+
     switchDatasetType<LoadChunkIntoPythonArray>(
         r.getDatatype(), r, a, offset, extent);
 }

test/python/unittest/API/APITest.py

@@ -2471,7 +2471,7 @@ def get_component_only():
             iteration = series.snapshots()[0]
             particles = iteration.particles["electrons"]
 
-            dset = io.Dataset(np.dtype("float"), [30])
+            dset = io.Dataset(np.dtype(np.float32), [30])
             position_x = particles["position"]["x"]
             position_x.reset_dataset(dset)
             position_x[:] = np.arange(30, dtype=np.float32)