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Speed-up math.dist() by 30% (GH-9628)
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parent
e45473e3ca
commit
df8101517a
7
Modules/clinic/mathmodule.c.h
generated
7
Modules/clinic/mathmodule.c.h
generated
@ -294,8 +294,9 @@ math_dist(PyObject *module, PyObject *const *args, Py_ssize_t nargs)
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PyObject *p;
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PyObject *q;
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if (!_PyArg_ParseStack(args, nargs, "O!O!:dist",
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&PyTuple_Type, &p, &PyTuple_Type, &q)) {
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if (!_PyArg_UnpackStack(args, nargs, "dist",
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2, 2,
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&p, &q)) {
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goto exit;
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}
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return_value = math_dist_impl(module, p, q);
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@ -522,4 +523,4 @@ math_isclose(PyObject *module, PyObject *const *args, Py_ssize_t nargs, PyObject
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exit:
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return return_value;
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}
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/*[clinic end generated code: output=d936137c1189b89b input=a9049054013a1b77]*/
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/*[clinic end generated code: output=239c51a5acefbafb input=a9049054013a1b77]*/
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@ -2101,8 +2101,8 @@ vector_norm(Py_ssize_t n, double *vec, double max, int found_nan)
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/*[clinic input]
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math.dist
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p: object(subclass_of='&PyTuple_Type')
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q: object(subclass_of='&PyTuple_Type')
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p: object
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q: object
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/
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Return the Euclidean distance between two points p and q.
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@ -2116,7 +2116,7 @@ Roughly equivalent to:
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static PyObject *
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math_dist_impl(PyObject *module, PyObject *p, PyObject *q)
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/*[clinic end generated code: output=56bd9538d06bbcfe input=937122eaa5f19272]*/
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/*[clinic end generated code: output=56bd9538d06bbcfe input=8c83c07c7a524664]*/
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{
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PyObject *item;
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double max = 0.0;
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@ -2126,6 +2126,11 @@ math_dist_impl(PyObject *module, PyObject *p, PyObject *q)
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double diffs_on_stack[NUM_STACK_ELEMS];
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double *diffs = diffs_on_stack;
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if (!PyTuple_Check(p) || !PyTuple_Check(q)) {
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PyErr_SetString(PyExc_TypeError, "dist argument must be a tuple");
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return NULL;
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}
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m = PyTuple_GET_SIZE(p);
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n = PyTuple_GET_SIZE(q);
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if (m != n) {
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