docs fixes

cunumeric/module.py

@@ -6255,6 +6255,7 @@ def diff(
     The first difference is given by ``out[i] = a[i+1] - a[i]`` along
     the given axis, higher differences are calculated by using `diff`
     recursively.
+
     Parameters
     ----------
     a : array_like
@@ -6271,6 +6272,7 @@ def diff(
         arrays with length 1 in the direction of axis and the shape
         of the input array in along all other axes.  Otherwise the
         dimension and shape must match `a` except along axis.
+
     Returns
     -------
     diff : ndarray
@@ -6279,17 +6281,21 @@ def diff(
         type of the output is the same as the type of the difference
         between any two elements of `a`. This is the same as the type of
         `a` in most cases.
+
     See Also
     --------
     numpy.diff
+
     Notes
     -----
     Type is preserved for boolean arrays, so the result will contain
-    `False` when consecutive elements are the same and `True` when they
+    False when consecutive elements are the same and True when they
     differ.
+
     For unsigned integer arrays, the results will also be unsigned. This
     should not be surprising, as the result is consistent with
     calculating the difference directly:
+
     >>> u8_arr = np.array([1, 0], dtype=np.uint8)
     >>> np.diff(u8_arr)
     array([255], dtype=uint8)
@@ -6300,8 +6306,10 @@ def diff(
     >>> i16_arr = u8_arr.astype(np.int16)
     >>> np.diff(i16_arr)
     array([-1], dtype=int16)
+
     Examples
     --------
+
     >>> x = np.array([1, 2, 4, 7, 0])
     >>> np.diff(x)
     array([ 1,  2,  3, -7])

docs/cunumeric/source/api/math.rst

@@ -55,6 +55,7 @@ Sums, products, differences
 .. autosummary::
    :toctree: generated/
 
+   diff
    prod
    sum
    cumprod

docs/cunumeric/source/api/statistics.rst

@@ -22,6 +22,7 @@ Histograms
 
    bincount
    histogram
+   digitize
 
 
 Order statistics