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/*[clinic input]
preserve
[clinic start generated code]*/
PyDoc_STRVAR(_statistics__normal_dist_inv_cdf__doc__,
"_normal_dist_inv_cdf($module, p, mu, sigma, /)\n"
"--\n"
"\n");
#define _STATISTICS__NORMAL_DIST_INV_CDF_METHODDEF \
{"_normal_dist_inv_cdf", (PyCFunction)(void(*)(void))_statistics__normal_dist_inv_cdf, METH_FASTCALL, _statistics__normal_dist_inv_cdf__doc__},
static double
_statistics__normal_dist_inv_cdf_impl(PyObject *module, double p, double mu,
double sigma);
static PyObject *
_statistics__normal_dist_inv_cdf(PyObject *module, PyObject *const *args, Py_ssize_t nargs)
{
PyObject *return_value = NULL;
double p;
double mu;
double sigma;
double _return_value;
if (!_PyArg_CheckPositional("_normal_dist_inv_cdf", nargs, 3, 3)) {
goto exit;
}
if (PyFloat_CheckExact(args[0])) {
p = PyFloat_AS_DOUBLE(args[0]);
}
else
{
p = PyFloat_AsDouble(args[0]);
if (p == -1.0 && PyErr_Occurred()) {
goto exit;
}
}
if (PyFloat_CheckExact(args[1])) {
mu = PyFloat_AS_DOUBLE(args[1]);
}
else
{
mu = PyFloat_AsDouble(args[1]);
if (mu == -1.0 && PyErr_Occurred()) {
goto exit;
}
}
if (PyFloat_CheckExact(args[2])) {
sigma = PyFloat_AS_DOUBLE(args[2]);
}
else
{
sigma = PyFloat_AsDouble(args[2]);
if (sigma == -1.0 && PyErr_Occurred()) {
goto exit;
}
}
_return_value = _statistics__normal_dist_inv_cdf_impl(module, p, mu, sigma);
if ((_return_value == -1.0) && PyErr_Occurred()) {
goto exit;
}
return_value = PyFloat_FromDouble(_return_value);
exit:
return return_value;
}
/*[clinic end generated code: output=c5826928a238326c input=a9049054013a1b77]*/
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