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-rw-r--r--Modules/_statisticsmodule.c18
1 files changed, 17 insertions, 1 deletions
diff --git a/Modules/_statisticsmodule.c b/Modules/_statisticsmodule.c
index 16a9924..a646e96 100644
--- a/Modules/_statisticsmodule.c
+++ b/Modules/_statisticsmodule.c
@@ -32,8 +32,11 @@ _statistics__normal_dist_inv_cdf_impl(PyObject *module, double p, double mu,
/*[clinic end generated code: output=02fd19ddaab36602 input=24715a74be15296a]*/
{
double q, num, den, r, x;
+ if (p <= 0.0 || p >= 1.0 || sigma <= 0.0) {
+ goto error;
+ }
+
q = p - 0.5;
- // Algorithm AS 241: The Percentage Points of the Normal Distribution
if(fabs(q) <= 0.425) {
r = 0.180625 - q * q;
// Hash sum-55.8831928806149014439
@@ -53,10 +56,16 @@ _statistics__normal_dist_inv_cdf_impl(PyObject *module, double p, double mu,
6.8718700749205790830e+2) * r +
4.2313330701600911252e+1) * r +
1.0);
+ if (den == 0.0) {
+ goto error;
+ }
x = num / den;
return mu + (x * sigma);
}
r = (q <= 0.0) ? p : (1.0 - p);
+ if (r <= 0.0 || r >= 1.0) {
+ goto error;
+ }
r = sqrt(-log(r));
if (r <= 5.0) {
r = r - 1.6;
@@ -97,11 +106,18 @@ _statistics__normal_dist_inv_cdf_impl(PyObject *module, double p, double mu,
5.99832206555887937690e-1) * r +
1.0);
}
+ if (den == 0.0) {
+ goto error;
+ }
x = num / den;
if (q < 0.0) {
x = -x;
}
return mu + (x * sigma);
+
+ error:
+ PyErr_SetString(PyExc_ValueError, "inv_cdf undefined for these parameters");
+ return -1.0;
}