numpy · mattip · Jul 7, 2019 · Jun 27, 2019 · Jul 6, 2019
diff --git a/doc/source/reference/routines.char.rst b/doc/source/reference/routines.char.rst
@@ -56,6 +56,7 @@ comparison.
    less_equal
    greater
    less
+   compare_chararrays
 
 String information
 ------------------

diff --git a/doc/source/reference/routines.other.rst b/doc/source/reference/routines.other.rst
@@ -21,6 +21,7 @@ Memory ranges
 
    shares_memory
    may_share_memory
+   byte_bounds
 
 Array mixins
 ------------
@@ -35,3 +36,21 @@ NumPy version comparison
    :toctree: generated/
 
    lib.NumpyVersion
+
+Utility
+-------
+
+.. autosummary::
+   :toctree: generated/
+
+   get_include
+   deprecate
+   deprecate_with_doc
+
+Matlab-like Functions
+---------------------
+.. autosummary::
+   :toctree: generated/
+
+   who
+   disp
diff --git a/numpy/core/_add_newdocs.py b/numpy/core/_add_newdocs.py
@@ -3255,87 +3255,6 @@
     """))
 
 
-add_newdoc('numpy.core.multiarray', 'shares_memory',
-    """
-    shares_memory(a, b, max_work=None)
-
-    Determine if two arrays share memory
-
-    Parameters
-    ----------
-    a, b : ndarray
-        Input arrays
-    max_work : int, optional
-        Effort to spend on solving the overlap problem (maximum number
-        of candidate solutions to consider). The following special
-        values are recognized:
-
-        max_work=MAY_SHARE_EXACT  (default)
-            The problem is solved exactly. In this case, the function returns
-            True only if there is an element shared between the arrays.
-        max_work=MAY_SHARE_BOUNDS
-            Only the memory bounds of a and b are checked.
-
-    Raises
-    ------
-    numpy.TooHardError
-        Exceeded max_work.
-
-    Returns
-    -------
-    out : bool
-
-    See Also
-    --------
-    may_share_memory
-
-    Examples
-    --------
-    >>> np.may_share_memory(np.array([1,2]), np.array([5,8,9]))
-    False
-
-    """)
-
-
-add_newdoc('numpy.core.multiarray', 'may_share_memory',
-    """
-    may_share_memory(a, b, max_work=None)
-
-    Determine if two arrays might share memory
-
-    A return of True does not necessarily mean that the two arrays
-    share any element.  It just means that they *might*.
-
-    Only the memory bounds of a and b are checked by default.
-
-    Parameters
-    ----------
-    a, b : ndarray
-        Input arrays
-    max_work : int, optional
-        Effort to spend on solving the overlap problem.  See
-        `shares_memory` for details.  Default for ``may_share_memory``
-        is to do a bounds check.
-
-    Returns
-    -------
-    out : bool
-
-    See Also
-    --------
-    shares_memory
-
-    Examples
-    --------
-    >>> np.may_share_memory(np.array([1,2]), np.array([5,8,9]))
-    False
-    >>> x = np.zeros([3, 4])
-    >>> np.may_share_memory(x[:,0], x[:,1])
-    True
-
-    """)
-
-
 add_newdoc('numpy.core.multiarray', 'ndarray', ('newbyteorder',
     """
     arr.newbyteorder(new_order='S')
@@ -6997,3 +6916,4 @@ def add_newdoc_for_scalar_type(obj, fixed_aliases, doc):
         >>> np.{ftype}(-.25).as_integer_ratio()
         (-1, 4)
         """.format(ftype=float_name)))
+
-Original file line number
+Diff line change
@@ Expand Up / @@ -56,6 +56,7 @@ comparison. @@
        less_equal
        greater
        less
+       compare_chararrays
     String information
     ------------------
@@ Expand Down @@