mirror of https://github.com/python/cpython
52 lines
1.5 KiB
C
52 lines
1.5 KiB
C
/*[clinic input]
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preserve
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[clinic start generated code]*/
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PyDoc_STRVAR(_statistics__normal_dist_inv_cdf__doc__,
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"_normal_dist_inv_cdf($module, p, mu, sigma, /)\n"
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"--\n"
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"\n");
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#define _STATISTICS__NORMAL_DIST_INV_CDF_METHODDEF \
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{"_normal_dist_inv_cdf", (PyCFunction)(void(*)(void))_statistics__normal_dist_inv_cdf, METH_FASTCALL, _statistics__normal_dist_inv_cdf__doc__},
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static double
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_statistics__normal_dist_inv_cdf_impl(PyObject *module, double p, double mu,
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double sigma);
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static PyObject *
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_statistics__normal_dist_inv_cdf(PyObject *module, PyObject *const *args, Py_ssize_t nargs)
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{
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PyObject *return_value = NULL;
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double p;
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double mu;
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double sigma;
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double _return_value;
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if (nargs != 3) {
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PyErr_Format(PyExc_TypeError, "_normal_dist_inv_cdf expected 3 arguments, got %zd", nargs);
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goto exit;
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}
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p = PyFloat_AsDouble(args[0]);
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if (p == -1.0 && PyErr_Occurred()) {
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goto exit;
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}
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mu = PyFloat_AsDouble(args[1]);
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if (mu == -1.0 && PyErr_Occurred()) {
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goto exit;
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}
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sigma = PyFloat_AsDouble(args[2]);
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if (sigma == -1.0 && PyErr_Occurred()) {
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goto exit;
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}
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_return_value = _statistics__normal_dist_inv_cdf_impl(module, p, mu, sigma);
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if ((_return_value == -1.0) && PyErr_Occurred()) {
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goto exit;
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}
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return_value = PyFloat_FromDouble(_return_value);
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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=0f0c849d51f16f1b input=a9049054013a1b77]*/
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