force tuple(slicer) for ndarray slicing

It seems that newer versions (1.23.1) of numpy is forcing tuple slicers.

ipart/AR_detector.py:
    padmask[slice(pad,-pad), slice(pad,-pad)] changed to
    padmask[tuple(slice(pad,-pad), slice(pad,-pad))]

ipart/utils.funcs.py:
    newdata=self.data[slicer] ->
    newdata=self.data[tuple(slicer)]

ipart/AR_detector.py

@@ -1618,7 +1618,7 @@ def paddedClosing(mask, ele, pad, has_cv):
         else:
             padmask=morphology.closing(padmask, selem=ele)
         # trim
-        padmask=padmask[slice(pad,-pad), slice(pad,-pad)]
+        padmask=padmask[tuple(slice(pad,-pad), slice(pad,-pad))]
         return padmask
 
     if thres_low is None:

ipart/utils/funcs.py

@@ -297,7 +297,7 @@ def sliceIndex(self,idx1,idx2,axis=0,squeeze=True):
         #--------------------Slice data--------------------
         slicer=[slice(None),]*self.ndim
         slicer[axis]=slice(idx1,idx2)
-        newdata=self.data[slicer]
+        newdata=self.data[tuple(slicer)]
         if idx2-idx1==1 and squeeze:
             newdata=np.squeeze(newdata, axis=axis)
 
@@ -347,7 +347,7 @@ def sliceData(self, v1, v2, axis=0):
         else:
             raise Exception("No data found in [v1,v2].")
 
-        newdata=self.data[slicer]   # if var is np.ndarray
+        newdata=self.data[tuple(slicer)]   # if var is np.ndarray
 
         #--------------Create a new data obj--------------
         newaxisdata=axisdata[idx]
@@ -1037,7 +1037,7 @@ def getSlab(var, index1=-1, index2=-2, verbose=True):
     slicer=['0',]*ndim
     slicer[index1]=':'
     slicer[index2]=':'
-    string='slab=var[%s]' %','.join(slicer)
+    string='slab=var[tuple(%s)]' %','.join(slicer)
     exec(string)
     return slab