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refactor: use constants/float64/nan in stats/base/dists/normal/pdf #11731

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manit2004 wants to merge 4 commits into from
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refactor: use constants/float64/nan in stats/base/dists/normal/pdf #11731

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000785d
refactor(stats/normal/pdf): inline 0/0 replaced with NaN macro import
manit2004 Apr 22, 2026
8621265
refactor(blas/ext/base/dnansum): replace 0.0/0.0 with STDLIB_CONSTANT…
manit2004 Apr 24, 2026
baa728a
Merge branch 'stdlib-js:develop' into nan-update-normalpdf
manit2004 Apr 24, 2026
7a84e1c
refactor(blas/ext/base/snasum): replace 32 bit inline NaN 0.0f/0.0f w…
manit2004 Apr 24, 2026
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9 changes: 6 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/normal/pdf/manifest.json
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,8 @@
"@stdlib/math/base/special/sqrt",
"@stdlib/math/base/special/pow",
"@stdlib/math/base/special/exp",
"@stdlib/constants/float64/pinf"
"@stdlib/constants/float64/pinf",
"@stdlib/constants/float64/nan"
]
},
{
Expand All @@ -65,7 +66,8 @@
"@stdlib/math/base/special/pow",
"@stdlib/math/base/special/exp",
"@stdlib/constants/float64/pinf",
"@stdlib/constants/float64/eps"
"@stdlib/constants/float64/eps",
"@stdlib/constants/float64/nan"
]
},
{
Expand All @@ -86,7 +88,8 @@
"@stdlib/math/base/special/pow",
"@stdlib/math/base/special/exp",
"@stdlib/constants/float64/pinf",
"@stdlib/constants/float64/eps"
"@stdlib/constants/float64/eps",
"@stdlib/constants/float64/nan"
]
}
]
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3 changes: 2 additions & 1 deletion lib/node_modules/@stdlib/stats/base/dists/normal/pdf/src/main.c
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Expand Up @@ -23,6 +23,7 @@
#include "stdlib/math/base/special/exp.h"
#include "stdlib/constants/float64/two_pi.h"
#include "stdlib/constants/float64/pinf.h"
#include "stdlib/constants/float64/nan.h"

/**
* Evaluates the probability density function (PDF) for a normal distribution with mean `mu` and standard deviation `sigma` at a value `x`.
Expand All @@ -46,7 +47,7 @@ double stdlib_base_dists_normal_pdf( const double x, const double mu, const doub
stdlib_base_is_nan( sigma ) ||
sigma < 0.0
) {
return 0.0/0.0; // NaN
return STDLIB_CONSTANT_FLOAT64_NAN;
}
if ( sigma == 0.0 ) {
return ( x == mu ) ? STDLIB_CONSTANT_FLOAT64_PINF : 0.0;
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