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gh-101678: refactor the math module to use special functions from c11 #101679

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Merged
merged 13 commits into from
Feb 9, 2023
Merged

gh-101678: refactor the math module to use special functions from c11 #101679

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d202b5c
gh-101678: refactor the math module to use special functions from c11
skirpichev Feb 8, 2023
7d14105
Use libc's lgamma/tgamma instead of custom implementations
skirpichev Feb 8, 2023
468096b
Revert "Use libc's lgamma/tgamma instead of custom implementations"
skirpichev Feb 8, 2023
5b75ef8
Comment on custom implementations of tgamma/lgamma
skirpichev Feb 8, 2023
538810d
UPD commit msg: gh-101678: refactor the math module to use erf/erfc/l…
skirpichev Feb 8, 2023
fa76552
Grammar fix
skirpichev Feb 9, 2023
42829cb
Restore braces in m_log2 per PEP7
skirpichev Feb 9, 2023
27334d8
Merge branch 'main' into math-c11
skirpichev Feb 9, 2023
c097545
Merge branch 'main' into math-c11
skirpichev Feb 9, 2023
47970e2
Merge math_1_to_whatever() and math_1()
skirpichev Feb 9, 2023
bebbc79
Provide context for log1p workaround
skirpichev Feb 9, 2023
ee5e689
Revert "Merge math_1_to_whatever() and math_1()"
skirpichev Feb 9, 2023
06e9c8c
Fix issues prefixes
skirpichev Feb 9, 2023
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Fix issues prefixes
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@skirpichev
skirpichev committed Feb 9, 2023
commit 06e9c8c56fb92448a906ca5375e8c9424de4554f
2 changes: 1 addition & 1 deletion Modules/_math.h
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Expand Up @@ -7,7 +7,7 @@
static double
_Py_log1p(double x)
{
/* Some platforms (e.g. MacOS X 10.8, see #59682) supply a log1p function
/* Some platforms (e.g. MacOS X 10.8, see gh-59682) supply a log1p function
but don't respect the sign of zero: log1p(-0.0) gives 0.0 instead of
the correct result of -0.0.

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2 changes: 1 addition & 1 deletion Modules/mathmodule.c
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Expand Up @@ -159,7 +159,7 @@ m_sinpi(double x)
}

/* Implementation of the real gamma function. Kept here to work around
issues (see e.g. #70309) with quality of libm's tgamma/lgamma implementations
issues (see e.g. gh-70309) with quality of libm's tgamma/lgamma implementations
on various platforms (Windows, MacOS). In extensive but non-exhaustive
random tests, this function proved accurate to within <= 10 ulps across the
entire float domain. Note that accuracy may depend on the quality of the
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