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bpo-34838: Use subclass_of for math.dist. (GH-9659)
Argument clinic now generates fast inline code for positional parsing, so the manually implemented type check in math.dist can be removed.
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commit
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3 changed files with 14 additions and 9 deletions
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@ -867,6 +867,8 @@ class MathTests(unittest.TestCase):
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dist((1, 2, 3, 4), (5, 6, 7))
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with self.assertRaises(ValueError): # Check dimension agree
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dist((1, 2, 3), (4, 5, 6, 7))
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with self.assertRaises(TypeError): # Rejects invalid types
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dist("abc", "xyz")
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# Verify that the one dimensional case is equivalent to abs()
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for i in range(20):
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10
Modules/clinic/mathmodule.c.h
generated
10
Modules/clinic/mathmodule.c.h
generated
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@ -310,7 +310,15 @@ math_dist(PyObject *module, PyObject *const *args, Py_ssize_t nargs)
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if (!_PyArg_CheckPositional("dist", nargs, 2, 2)) {
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goto exit;
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}
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if (!PyTuple_Check(args[0])) {
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_PyArg_BadArgument("dist", 1, "tuple", args[0]);
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goto exit;
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}
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p = args[0];
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if (!PyTuple_Check(args[1])) {
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_PyArg_BadArgument("dist", 2, "tuple", args[1]);
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goto exit;
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}
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q = args[1];
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return_value = math_dist_impl(module, p, q);
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@ -548,4 +556,4 @@ 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=f3264ab0ef57ba0a input=a9049054013a1b77]*/
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/*[clinic end generated code: output=0664f30046da09fe 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
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q: object
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p: object(subclass_of='&PyTuple_Type')
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q: object(subclass_of='&PyTuple_Type')
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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=8c83c07c7a524664]*/
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/*[clinic end generated code: output=56bd9538d06bbcfe input=937122eaa5f19272]*/
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{
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PyObject *item;
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double max = 0.0;
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@ -2126,11 +2126,6 @@ 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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