RF: Simplify data retrieval, avoid needless upcast

Author: effigies

nipype/algorithms/metrics.py

@@ -441,8 +441,8 @@ class FuzzyOverlap(SimpleInterface):
 
     def _run_interface(self, runtime):
         # Load data
-        refdata = np.asanyarray(nb.concat_images(self.inputs.in_ref).dataobj)
-        tstdata = np.asanyarray(nb.concat_images(self.inputs.in_tst).dataobj)
+        refdata = nb.concat_images(self.inputs.in_ref).dataobj
+        tstdata = nb.concat_images(self.inputs.in_tst).dataobj
 
         # Data must have same shape
         if not refdata.shape == tstdata.shape:

nipype/algorithms/rapidart.py

@@ -526,7 +526,7 @@ def _detect_outliers_core(self, imgfile, motionfile, runidx, cwd=None):
                     g[t0] = np.nansum(vol * mask_tmp) / np.nansum(mask_tmp)
         elif masktype == "file":  # uses a mask image to determine intensity
             maskimg = load(self.inputs.mask_file)
-            mask = maskimg.get_fdata()
+            mask = maskimg.get_fdata(dtype=np.float32)
             affine = maskimg.affine
             mask = mask > 0.5
             for t0 in range(timepoints):