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More sort cleanup: Moved the special cases from samplesortslice into
listsort. If the former calls itself recursively, they're a waste of time, since it's called on a random permutation of a random subset of elements. OTOH, for exactly the same reason, they're an immeasurably small waste of time (the odds of finding exploitable order in a random permutation are ~= 0, so the special-case loops looking for order give up quickly). The point is more for conceptual clarity. Also changed some "assert comments" into real asserts; when this code was first written, Python.h didn't supply assert.h.
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@ -1005,43 +1005,10 @@ samplesortslice(PyObject **lo, PyObject **hi, PyObject *compare)
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int n, extra, top, extraOnRight;
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struct SamplesortStackNode stack[STACKSIZE];
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/* assert lo <= hi */
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assert(lo <= hi);
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n = hi - lo;
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/* ----------------------------------------------------------
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* Special cases
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* --------------------------------------------------------*/
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if (n < 2)
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return 0;
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/* Set r to the largest value such that [lo,r) is sorted.
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This catches the already-sorted case, the all-the-same
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case, and the appended-a-few-elements-to-a-sorted-list case.
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If the array is unsorted, we're very likely to get out of
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the loop fast, so the test is cheap if it doesn't pay off.
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*/
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/* assert lo < hi */
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for (r = lo+1; r < hi; ++r) {
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IFLT(*r, *(r-1))
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break;
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}
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/* [lo,r) is sorted, [r,hi) unknown. Get out cheap if there are
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few unknowns, or few elements in total. */
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if (hi - r <= MAXMERGE || n < MINSIZE)
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return binarysort(lo, hi, r, compare);
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/* Check for the array already being reverse-sorted. Typical
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benchmark-driven silliness <wink>. */
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/* assert lo < hi */
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for (r = lo+1; r < hi; ++r) {
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IFLT(*(r-1), *r)
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break;
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}
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if (hi - r <= MAXMERGE) {
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/* Reverse the reversed prefix, then insert the tail */
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reverse_slice(lo, r);
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return binarysort(lo, hi, r, compare);
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}
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if (n < MINSIZE)
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return binarysort(lo, hi, lo, compare);
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/* ----------------------------------------------------------
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* Normal case setup: a large array without obvious pattern.
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@ -1093,7 +1060,7 @@ samplesortslice(PyObject **lo, PyObject **hi, PyObject *compare)
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* Partition [lo, hi), and repeat until out of work.
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* --------------------------------------------------------*/
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for (;;) {
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/* assert lo <= hi, so n >= 0 */
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assert(lo <= hi);
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n = hi - lo;
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/* We may not want, or may not be able, to partition:
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@ -1103,8 +1070,8 @@ samplesortslice(PyObject **lo, PyObject **hi, PyObject *compare)
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*/
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if (n < MINPARTITIONSIZE || extra == 0) {
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if (n >= MINSIZE) {
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/* assert extra == 0
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This is rare, since the average size
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assert(extra == 0);
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/* This is rare, since the average size
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of a final block is only about
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ln(original n). */
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if (samplesortslice(lo, hi, compare) < 0)
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@ -1184,7 +1151,7 @@ samplesortslice(PyObject **lo, PyObject **hi, PyObject *compare)
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duplicates later. */
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l = lo + 1;
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r = hi - 1;
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/* assert lo < l < r < hi (small n weeded out above) */
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assert(lo < l && l < r && r < hi);
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do {
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/* slide l right, looking for key >= pivot */
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@ -1208,9 +1175,8 @@ samplesortslice(PyObject **lo, PyObject **hi, PyObject *compare)
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} while (l < r);
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/* assert lo < r <= l < hi
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assert r == l or r+1 == l
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everything to the left of l is < pivot, and
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assert(lo < r && r <= l && l < hi);
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/* everything to the left of l is < pivot, and
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everything to the right of r is >= pivot */
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if (l == r) {
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@ -1219,13 +1185,12 @@ samplesortslice(PyObject **lo, PyObject **hi, PyObject *compare)
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else
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--r;
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}
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/* assert lo <= r and r+1 == l and l <= hi
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assert r == lo or a[r] < pivot
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assert a[lo] is pivot
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assert l == hi or a[l] >= pivot
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Swap the pivot into "the middle", so we can henceforth
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ignore it.
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*/
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assert(lo <= r && r+1 == l && l <= hi);
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/* assert r == lo or a[r] < pivot */
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assert(*lo == pivot);
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/* assert l == hi or a[l] >= pivot */
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/* Swap the pivot into "the middle", so we can henceforth
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ignore it. */
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*lo = *r;
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*r = pivot;
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@ -1250,13 +1215,12 @@ samplesortslice(PyObject **lo, PyObject **hi, PyObject *compare)
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++l;
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}
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/* assert lo <= r < l <= hi
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Partitions are [lo, r) and [l, hi) */
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/* push fattest first; remember we still have extra PPs
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assert(lo <= r && r < l && l <= hi);
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/* Partitions are [lo, r) and [l, hi)
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:ush fattest first; remember we still have extra PPs
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to the left of the left chunk and to the right of
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the right chunk! */
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/* assert top < STACKSIZE */
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assert(top < STACKSIZE);
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if (r - lo <= hi - l) {
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/* second is bigger */
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stack[top].lo = l;
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@ -1283,33 +1247,77 @@ samplesortslice(PyObject **lo, PyObject **hi, PyObject *compare)
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return -1;
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}
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#undef IFLT
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static PyTypeObject immutable_list_type;
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static PyObject *
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listsort(PyListObject *self, PyObject *args)
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{
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int err;
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int k;
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PyObject *compare = NULL;
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PyObject **hi, **p;
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PyTypeObject *savetype;
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if (args != NULL) {
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if (!PyArg_ParseTuple(args, "|O:sort", &compare))
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return NULL;
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}
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savetype = self->ob_type;
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if (self->ob_size < 2) {
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k = 0;
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goto done;
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}
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self->ob_type = &immutable_list_type;
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err = samplesortslice(self->ob_item,
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self->ob_item + self->ob_size,
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compare);
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self->ob_type = savetype;
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if (err < 0)
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hi = self->ob_item + self->ob_size;
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/* Set p to the largest value such that [lo, p) is sorted.
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This catches the already-sorted case, the all-the-same
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case, and the appended-a-few-elements-to-a-sorted-list case.
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If the array is unsorted, we're very likely to get out of
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the loop fast, so the test is cheap if it doesn't pay off.
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*/
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for (p = self->ob_item + 1; p < hi; ++p) {
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IFLT(*p, *(p-1))
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break;
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}
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/* [lo, p) is sorted, [p, hi) unknown. Get out cheap if there are
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few unknowns, or few elements in total. */
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if (hi - p <= MAXMERGE || self->ob_size < MINSIZE) {
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k = binarysort(self->ob_item, hi, p, compare);
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goto done;
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}
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/* Check for the array already being reverse-sorted, or that with
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a few elements tacked on to the end. */
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for (p = self->ob_item + 1; p < hi; ++p) {
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IFLT(*(p-1), *p)
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break;
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}
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/* [lo, p) is reverse-sorted, [p, hi) unknown. */
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if (hi - p <= MAXMERGE) {
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/* Reverse the reversed prefix, then insert the tail */
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reverse_slice(self->ob_item, p);
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k = binarysort(self->ob_item, hi, p, compare);
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goto done;
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}
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/* A large array without obvious pattern. */
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k = samplesortslice(self->ob_item, hi, compare);
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done: /* The IFLT macro requires a label named "fail". */;
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fail:
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self->ob_type = savetype;
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if (k >= 0) {
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Py_INCREF(Py_None);
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return Py_None;
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}
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else
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return NULL;
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Py_INCREF(Py_None);
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return Py_None;
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}
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#undef IFLT
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int
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PyList_Sort(PyObject *v)
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{
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