在我正在编写的某些Python代码中,我需要计算字符串中任何字符集出现的次数。换句话说,我需要计算字符串中字符[c1,c2,c3,...,cn]的总出现次数。

在C语言中,可以使用称为strpbrk()的函数来执行此操作,通常在x86处理器上带有特殊指令以使其更快。

在Python中,我编写了以下代码,但这是我的应用程序中最慢的部分。

haystack = <query string>
gc_characters = 0
for c in ['c', 'C', 'g', 'G']:
    gc_characters += haystack.count(c)


有更快的方法吗?

最佳答案

我可能在这里有些落伍,但是tl; dr是,原始代码实际上比(edit:macOS's)strpbrk()快,但是某些strpbrk()实现可能更快!

str.count()在其胆量中使用this bundle of strange and beautiful magic –难怪它很快。

完整的代码位于https://github.com/akx/so55822235

Python代码

这些方法使用纯Python,包括OP的原始方法

def gc_characters_original(haystack):
    gc_characters = 0
    for c in ("c", "C", "g", "G"):
        gc_characters += haystack.count(c)
    return gc_characters


def gc_characters_counter(haystack):
    counter = Counter(haystack)
    return sum(counter.get(c, 0) for c in ["c", "C", "g", "G"])


def gc_characters_manual(haystack):
    gc_characters = 0
    for x in haystack:
        if x in ("c", "C", "g", "G"):
            gc_characters += 1
    return gc_characters


def gc_characters_iters(haystack):
    gc_characters = haystack.count("c") + haystack.count("C") + haystack.count("g") + haystack.count("G")
    return gc_characters


Cython扩展包装strpbrk()

from libc.string cimport strpbrk

cdef int _count(char* s, char *key):
    assert s is not NULL, "byte string value is NULL"
    cdef int n = 0
    cdef char* pch = strpbrk (s, key)
    while pch is not NULL:
        n += 1
        pch = strpbrk (pch + 1, key)
    return n

def count(s, key):
    return _count(s, key)


...

def gc_characters_cython(haystack_bytes):
    return charcount_cython.count(haystack_bytes, b"cCgG")


手工C扩展包装strpbrk()

#define PY_SSIZE_T_CLEAN
#include <Python.h>
#include <string.h>

static unsigned int count(const char *str, const char *key) {
  unsigned int n = 0;
  char *pch = strpbrk(str, key);
  while (pch != NULL) {
    n++;
    pch = strpbrk(pch + 1, key);
  }
  return n;
}

static PyObject *charcount_count(PyObject *self, PyObject *args) {
  const char *str, *key;
  Py_ssize_t strl, keyl;

  if (!PyArg_ParseTuple(args, "s#s#", &str, &strl, &key, &keyl)) {
    PyErr_SetString(PyExc_RuntimeError, "invalid arguments");
    return NULL;
  }
  int n = count(str, key);
  return PyLong_FromLong(n);
}

static PyMethodDef CharCountMethods[] = {
    {"count", charcount_count, METH_VARARGS,
     "Count the total occurrences of any s2 characters in s1"},
    {NULL, NULL, 0, NULL},
};

static struct PyModuleDef spammodule = {PyModuleDef_HEAD_INIT, "charcount",
                                        NULL, -1, CharCountMethods};

PyMODINIT_FUNC PyInit_charcount(void) { return PyModule_Create(&spammodule); }


...

def gc_characters_cext_b(haystack_bytes):
    return charcount.count(haystack_bytes, b"cCgG")


def gc_characters_cext_u(haystack):
    return charcount.count(haystack, "cCgG")




测量

在我的Mac上,一百万个随机字母字符串(即

haystack = "".join(random.choice(string.ascii_letters) for x in range(1_000_000))
haystack_bytes = haystack.encode()
print("original", timeit.timeit(lambda: gc_characters_original(haystack), number=100))
print("unrolled", timeit.timeit(lambda: gc_characters_iters(haystack), number=100))
print("cython", timeit.timeit(lambda: gc_characters_cython(haystack_bytes), number=100))
print("c extension, bytes", timeit.timeit(lambda: gc_characters_cext_b(haystack_bytes), number=100))
print("c extension, unicode", timeit.timeit(lambda: gc_characters_cext_u(haystack), number=100))
print("manual loop", timeit.timeit(lambda: gc_characters_manual(haystack), number=100))
print("counter", timeit.timeit(lambda: gc_characters_counter(haystack), number=100))


产生以下结果:

original               0.34033612700000004
unrolled               0.33661798900000006
cython                 0.6542106270000001
c extension, bytes     0.46668797900000003
c extension, unicode   0.4761082090000004
manual loop           11.625232557
counter                7.0389275090000005


因此,除非我的Mac的cCgG中的strpbrk()实现严重不足(编辑:确实如此),否则最好使用libc

编辑

我添加了glibc's .count()/strcspn(),它比the näive version of strpbrk() shipped with macOS快得惊人:

original                       0.329256
unrolled                       0.333872
cython                         0.433299
c extension, bytes             0.432552
c extension, unicode           0.437332
c extension glibc, bytes       0.169704 <-- new
c extension glibc, unicode     0.158153 <-- new


strpbrk()也具有SSE2和SSE4版本的功能,它们的速度可能甚至会更快。

编辑2

自从我对glibc的glibc巧妙的查找表如何用于字符计数有了顿悟之后,我又回到了这一次。

size_t fastcharcount(const char *str, const char *haystack) {
  size_t count = 0;

  // Prepare lookup table.
  // It will contain 1 for all characters in the haystack.
  unsigned char table[256] = {0};
  unsigned char *ts = (unsigned char *)haystack;
  while(*ts) table[*ts++] = 1;

  unsigned char *s = (unsigned char *)str;
  #define CHECK_CHAR(i) { if(!s[i]) break; count += table[s[i]]; }
  for(;;) {
    CHECK_CHAR(0);
    CHECK_CHAR(1);
    CHECK_CHAR(2);
    CHECK_CHAR(3);
    s += 4;
  }
  #undef CHECK_CHAR
  return count;
}


结果非常令人印象深刻,超过了glibc实现4倍和原始Python实现8.5倍。

original                       | 6.463880 sec / 2000 iter | 309 iter/s
unrolled                       | 6.378582 sec / 2000 iter | 313 iter/s
cython libc                    | 8.443358 sec / 2000 iter | 236 iter/s
cython glibc                   | 2.936697 sec / 2000 iter | 681 iter/s
cython fast                    | 0.766082 sec / 2000 iter | 2610 iter/s
c extension, bytes             | 8.373438 sec / 2000 iter | 238 iter/s
c extension, unicode           | 8.394805 sec / 2000 iter | 238 iter/s
c extension glib, bytes        | 2.988184 sec / 2000 iter | 669 iter/s
c extension glib, unicode      | 2.992429 sec / 2000 iter | 668 iter/s
c extension fast, bytes        | 0.754072 sec / 2000 iter | 2652 iter/s
c extension fast, unicode      | 0.762074 sec / 2000 iter | 2624 iter/s

关于python - Python中的strpbrk(),我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/55822235/

10-10 11:05