mirror of
https://github.com/python/cpython
synced 2024-11-05 18:12:54 +00:00
205 lines
6.1 KiB
C
205 lines
6.1 KiB
C
#include "Python.h"
|
|
#include "pycore_code.h" // _PyCode_GetVarnames()
|
|
#include "pycore_frame.h"
|
|
#include "pycore_pyerrors.h" // export _Py_UTF8_Edit_Cost()
|
|
#include "pycore_runtime.h" // _Py_ID()
|
|
|
|
#define MAX_CANDIDATE_ITEMS 750
|
|
#define MAX_STRING_SIZE 40
|
|
|
|
#define MOVE_COST 2
|
|
#define CASE_COST 1
|
|
|
|
#define LEAST_FIVE_BITS(n) ((n) & 31)
|
|
|
|
static inline int
|
|
substitution_cost(char a, char b)
|
|
{
|
|
if (LEAST_FIVE_BITS(a) != LEAST_FIVE_BITS(b)) {
|
|
// Not the same, not a case flip.
|
|
return MOVE_COST;
|
|
}
|
|
if (a == b) {
|
|
return 0;
|
|
}
|
|
if ('A' <= a && a <= 'Z') {
|
|
a += ('a' - 'A');
|
|
}
|
|
if ('A' <= b && b <= 'Z') {
|
|
b += ('a' - 'A');
|
|
}
|
|
if (a == b) {
|
|
return CASE_COST;
|
|
}
|
|
return MOVE_COST;
|
|
}
|
|
|
|
/* Calculate the Levenshtein distance between string1 and string2 */
|
|
static Py_ssize_t
|
|
levenshtein_distance(const char *a, size_t a_size,
|
|
const char *b, size_t b_size,
|
|
size_t max_cost, size_t *buffer)
|
|
{
|
|
// Both strings are the same (by identity)
|
|
if (a == b) {
|
|
return 0;
|
|
}
|
|
|
|
// Trim away common affixes.
|
|
while (a_size && b_size && a[0] == b[0]) {
|
|
a++; a_size--;
|
|
b++; b_size--;
|
|
}
|
|
while (a_size && b_size && a[a_size-1] == b[b_size-1]) {
|
|
a_size--;
|
|
b_size--;
|
|
}
|
|
if (a_size == 0 || b_size == 0) {
|
|
return (a_size + b_size) * MOVE_COST;
|
|
}
|
|
if (a_size > MAX_STRING_SIZE || b_size > MAX_STRING_SIZE) {
|
|
return max_cost + 1;
|
|
}
|
|
|
|
// Prefer shorter buffer
|
|
if (b_size < a_size) {
|
|
const char *t = a; a = b; b = t;
|
|
size_t t_size = a_size; a_size = b_size; b_size = t_size;
|
|
}
|
|
|
|
// quick fail when a match is impossible.
|
|
if ((b_size - a_size) * MOVE_COST > max_cost) {
|
|
return max_cost + 1;
|
|
}
|
|
|
|
// Instead of producing the whole traditional len(a)-by-len(b)
|
|
// matrix, we can update just one row in place.
|
|
// Initialize the buffer row
|
|
size_t tmp = MOVE_COST;
|
|
for (size_t i = 0; i < a_size; i++) {
|
|
// cost from b[:0] to a[:i+1]
|
|
buffer[i] = tmp;
|
|
tmp += MOVE_COST;
|
|
}
|
|
|
|
size_t result = 0;
|
|
for (size_t b_index = 0; b_index < b_size; b_index++) {
|
|
char code = b[b_index];
|
|
// cost(b[:b_index], a[:0]) == b_index * MOVE_COST
|
|
size_t distance = result = b_index * MOVE_COST;
|
|
size_t minimum = SIZE_MAX;
|
|
for (size_t index = 0; index < a_size; index++) {
|
|
|
|
// cost(b[:b_index+1], a[:index+1]) = min(
|
|
// // 1) substitute
|
|
// cost(b[:b_index], a[:index])
|
|
// + substitution_cost(b[b_index], a[index]),
|
|
// // 2) delete from b
|
|
// cost(b[:b_index], a[:index+1]) + MOVE_COST,
|
|
// // 3) delete from a
|
|
// cost(b[:b_index+1], a[index]) + MOVE_COST
|
|
// )
|
|
|
|
// 1) Previous distance in this row is cost(b[:b_index], a[:index])
|
|
size_t substitute = distance + substitution_cost(code, a[index]);
|
|
// 2) cost(b[:b_index], a[:index+1]) from previous row
|
|
distance = buffer[index];
|
|
// 3) existing result is cost(b[:b_index+1], a[index])
|
|
|
|
size_t insert_delete = Py_MIN(result, distance) + MOVE_COST;
|
|
result = Py_MIN(insert_delete, substitute);
|
|
|
|
// cost(b[:b_index+1], a[:index+1])
|
|
buffer[index] = result;
|
|
if (result < minimum) {
|
|
minimum = result;
|
|
}
|
|
}
|
|
if (minimum > max_cost) {
|
|
// Everything in this row is too big, so bail early.
|
|
return max_cost + 1;
|
|
}
|
|
}
|
|
return result;
|
|
}
|
|
|
|
PyObject *
|
|
_Py_CalculateSuggestions(PyObject *dir,
|
|
PyObject *name)
|
|
{
|
|
assert(!PyErr_Occurred());
|
|
assert(PyList_CheckExact(dir));
|
|
|
|
Py_ssize_t dir_size = PyList_GET_SIZE(dir);
|
|
if (dir_size >= MAX_CANDIDATE_ITEMS) {
|
|
return NULL;
|
|
}
|
|
|
|
Py_ssize_t suggestion_distance = PY_SSIZE_T_MAX;
|
|
PyObject *suggestion = NULL;
|
|
Py_ssize_t name_size;
|
|
const char *name_str = PyUnicode_AsUTF8AndSize(name, &name_size);
|
|
if (name_str == NULL) {
|
|
return NULL;
|
|
}
|
|
size_t *buffer = PyMem_New(size_t, MAX_STRING_SIZE);
|
|
if (buffer == NULL) {
|
|
return PyErr_NoMemory();
|
|
}
|
|
for (int i = 0; i < dir_size; ++i) {
|
|
PyObject *item = PyList_GET_ITEM(dir, i);
|
|
if (_PyUnicode_Equal(name, item)) {
|
|
continue;
|
|
}
|
|
Py_ssize_t item_size;
|
|
const char *item_str = PyUnicode_AsUTF8AndSize(item, &item_size);
|
|
if (item_str == NULL) {
|
|
PyMem_Free(buffer);
|
|
return NULL;
|
|
}
|
|
// No more than 1/3 of the involved characters should need changed.
|
|
Py_ssize_t max_distance = (name_size + item_size + 3) * MOVE_COST / 6;
|
|
// Don't take matches we've already beaten.
|
|
max_distance = Py_MIN(max_distance, suggestion_distance - 1);
|
|
Py_ssize_t current_distance =
|
|
levenshtein_distance(name_str, name_size, item_str,
|
|
item_size, max_distance, buffer);
|
|
if (current_distance > max_distance) {
|
|
continue;
|
|
}
|
|
if (!suggestion || current_distance < suggestion_distance) {
|
|
suggestion = item;
|
|
suggestion_distance = current_distance;
|
|
}
|
|
}
|
|
PyMem_Free(buffer);
|
|
return Py_XNewRef(suggestion);
|
|
}
|
|
|
|
Py_ssize_t
|
|
_Py_UTF8_Edit_Cost(PyObject *a, PyObject *b, Py_ssize_t max_cost)
|
|
{
|
|
assert(PyUnicode_Check(a) && PyUnicode_Check(b));
|
|
Py_ssize_t size_a, size_b;
|
|
const char *utf8_a = PyUnicode_AsUTF8AndSize(a, &size_a);
|
|
if (utf8_a == NULL) {
|
|
return -1;
|
|
}
|
|
const char *utf8_b = PyUnicode_AsUTF8AndSize(b, &size_b);
|
|
if (utf8_b == NULL) {
|
|
return -1;
|
|
}
|
|
if (max_cost == -1) {
|
|
max_cost = MOVE_COST * Py_MAX(size_a, size_b);
|
|
}
|
|
size_t *buffer = PyMem_New(size_t, MAX_STRING_SIZE);
|
|
if (buffer == NULL) {
|
|
PyErr_NoMemory();
|
|
return -1;
|
|
}
|
|
Py_ssize_t res = levenshtein_distance(utf8_a, size_a,
|
|
utf8_b, size_b, max_cost, buffer);
|
|
PyMem_Free(buffer);
|
|
return res;
|
|
}
|
|
|