1 files changed, 0 insertions, 47 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 269a97721..283e3faff 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -1073,53 +1073,6 @@ def diff(a, n=1, axis=-1):
     else:
         return a[slice1]-a[slice2]
 
-try:
-    add_docstring(digitize,
-r"""digitize(x,bins)
-
-Return the index of the bin to which each value of x belongs.
-
-Each index i returned is such that bins[i-1] <= x < bins[i] if
-bins is monotonically increasing, or bins [i-1] > x >= bins[i] if
-bins is monotonically decreasing.
-
-Beyond the bounds of the bins 0 or len(bins) is returned as appropriate.
-
-""")
-except RuntimeError:
-    pass
-
-try:
-    add_docstring(bincount,
-r"""bincount(x,weights=None)
-
-Return the number of occurrences of each value in x.
-
-x must be a list of non-negative integers.  The output, b[i],
-represents the number of times that i is found in x.  If weights
-is specified, every occurrence of i at a position p contributes
-weights[p] instead of 1.
-
-See also: histogram, digitize, unique.
-
-""")
-except RuntimeError:
-    pass
-
-try:
-    add_docstring(add_docstring,
-r"""docstring(obj, docstring)
-
-Add a docstring to a built-in obj if possible.
-If the obj already has a docstring raise a RuntimeError
-If this routine does not know how to add a docstring to the object
-raise a TypeError
-
-""")
-except RuntimeError:
-    pass
-
-
 def interp(x, xp, fp, left=None, right=None):
     """
     One-dimensional linear interpolation.