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Make floating-point exception error messages slightly more verbose: in

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particular, the error message now allows one to distinguish between a
ValueError arising from a singularity (e.g. log(0.)), which would
usually produce +-infinity in non-stop mode, and a ValueError resulting
from an invalid input (e.g. sqrt(-1.)), which would normally produce a
NaN in non-stop mode.
This commit is contained in:
Mark Dickinson 2008-04-30 23:30:57 +00:00
parent 3cbf15f07a
commit a0de26c342
3 changed files with 24 additions and 21 deletions
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23
Modules/mathmodule.c
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@ -174,18 +174,21 @@ math_1_to_whatever(PyObject *arg, double (*func) (double),
PyFPE_START_PROTECT("in math_1", return 0);
r = (*func)(x);
PyFPE_END_PROTECT(r);
if (Py_IS_NAN(r)) {
if (!Py_IS_NAN(x))
errno = EDOM;
else
errno = 0;
if (Py_IS_NAN(r) && !Py_IS_NAN(x)) {
PyErr_SetString(PyExc_ValueError,
"math domain error (invalid argument)");
return NULL;
}
else if (Py_IS_INFINITY(r)) {
if (Py_IS_FINITE(x))
errno = can_overflow ? ERANGE : EDOM;
else
errno = 0;
if (Py_IS_INFINITY(r) && Py_IS_FINITE(x)) {
if (can_overflow)
PyErr_SetString(PyExc_OverflowError,
"math range error (overflow)");
else
PyErr_SetString(PyExc_ValueError,
"math domain error (singularity)");
return NULL;
}
/* on most machines, errno should be 0 at this point */
if (errno && is_error(r))
return NULL;
else