Ensure single read and no copy for hdf5 data

dap/algos/addmaskfile.py

@@ -18,14 +18,14 @@ def calc_apply_additional_mask_from_file(results, pixel_mask_pf):
     # Support for hdf5 and npy
     if mask_file.endswith(".npy"):
         try:
-            mask = np.load(mask_file)
+            mask = np.load(mask_file).astype(np.bool)
         except Exception as error:
             results["mask_error"] = f"Error loading mask data from NumPy file {mask_file}:\n{error}"
             return
     else:
         try:
             with h5py.File(mask_file, "r") as h5f:
-                mask = np.asarray(h5f[mask_dataset], dtype=np.bool)
+                mask = h5f[mask_dataset][:].astype(np.bool)
         except Exception as error:
             results["mask_error"] = f"Error loading mask from hdf5 file {mask_file}:\n{error}"
             return

dap/algos/streakfind.py

@@ -79,13 +79,13 @@ def _generate_cryst_data(results, data, pf_pixel_mask) -> CrystData:
     num_threads = results.get("num_threads", DEFAULT_NUM_THREADS)
 
     with h5py.File(whitefield_data_file, "r") as hf:
-        whitefield = np.asarray(hf[whitefield_dataset])
+        whitefield = hf[whitefield_dataset][:]
 
     with h5py.File(mask_data_file, "r") as hf:
-        mask = np.asarray(hf[mask_dataset], dtype=np.bool)
+        mask = hf[mask_dataset][:].astype(np.bool)
 
     with h5py.File(std_data_file, "r") as hf:
-        std = np.asarray(hf[std_dataset])
+        std = hf[std_dataset][:]
 
     data = CrystData(
         data=data[np.newaxis, :],