python · AlexWaygood · May 8, 2023 · May 8, 2023
@@ -18,6 +18,8 @@ approach.  The module is called :mod:`bisect` because it uses a basic bisection
 algorithm to do its work.  The source code may be most useful as a working
 example of the algorithm (the boundary conditions are already right!).
 
+.. _bisect functions:
+
 The following functions are provided:
 
 
@@ -48,7 +50,7 @@ The following functions are provided:
 .. function:: bisect_right(a, x, lo=0, hi=len(a), *, key=None)
               bisect(a, x, lo=0, hi=len(a), *, key=None)
 
-   Similar to :func:`bisect_left`, but returns an insertion point which comes
+   Similar to :py:func:`~bisect.bisect_left`, but returns an insertion point which comes
    after (to the right of) any existing entries of *x* in *a*.
 
    The returned insertion point *i* partitions the array *a* into two halves so
@@ -70,7 +72,7 @@ The following functions are provided:
 
    Insert *x* in *a* in sorted order.
 
-   This function first runs :func:`bisect_left` to locate an insertion point.
+   This function first runs :py:func:`~bisect.bisect_left` to locate an insertion point.
    Next, it runs the :meth:`insert` method on *a* to insert *x* at the
    appropriate position to maintain sort order.
 
@@ -87,10 +89,10 @@ The following functions are provided:
 .. function:: insort_right(a, x, lo=0, hi=len(a), *, key=None)
               insort(a, x, lo=0, hi=len(a), *, key=None)
 
-   Similar to :func:`insort_left`, but inserting *x* in *a* after any existing
+   Similar to :py:func:`~bisect.insort_left`, but inserting *x* in *a* after any existing
    entries of *x*.
 
-   This function first runs :func:`bisect_right` to locate an insertion point.
+   This function first runs :py:func:`~bisect.bisect_right` to locate an insertion point.
    Next, it runs the :meth:`insert` method on *a* to insert *x* at the
    appropriate position to maintain sort order.
 
@@ -120,7 +122,7 @@ thoughts in mind:
   they are used.  Consequently, if the search functions are used in a loop,
   the key function may be called again and again on the same array elements.
   If the key function isn't fast, consider wrapping it with
-  :func:`functools.cache` to avoid duplicate computations.  Alternatively,
+  :py:func:`functools.cache` to avoid duplicate computations.  Alternatively,
   consider searching an array of precomputed keys to locate the insertion
   point (as shown in the examples section below).
 
@@ -140,7 +142,7 @@ thoughts in mind:
 Searching Sorted Lists
 ----------------------
 
-The above :func:`bisect` functions are useful for finding insertion points but
+The above `bisect functions`_ are useful for finding insertion points but
 can be tricky or awkward to use for common searching tasks. The following five
 functions show how to transform them into the standard lookups for sorted
 lists::
@@ -186,8 +188,8 @@ Examples
 
 .. _bisect-example:
 
-The :func:`bisect` function can be useful for numeric table lookups. This
-example uses :func:`bisect` to look up a letter grade for an exam score (say)
+The :py:func:`~bisect.bisect` function can be useful for numeric table lookups. This
+example uses :py:func:`~bisect.bisect` to look up a letter grade for an exam score (say)
 based on a set of ordered numeric breakpoints: 90 and up is an 'A', 80 to 89 is
 a 'B', and so on::
 
@@ -198,8 +200,8 @@ a 'B', and so on::
    >>> [grade(score) for score in [33, 99, 77, 70, 89, 90, 100]]
    ['F', 'A', 'C', 'C', 'B', 'A', 'A']
 
-The :func:`bisect` and :func:`insort` functions also work with lists of
-tuples.  The *key* argument can serve to extract the field used for ordering
+The :py:func:`~bisect.bisect` and :py:func:`~bisect.insort` functions also work with
+lists of tuples.  The *key* argument can serve to extract the field used for ordering
 records in a table::
 
     >>> from collections import namedtuple