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Add rand.exp_float64
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@@ -2,6 +2,12 @@ package rand
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import "core:math"
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// norm_float64 returns a normally distributed f64 in the range -max(f64) through +max(f64) inclusive,
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// with a standard normal distribution with a mean of 0 and standard deviation of 1.
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//
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// sample = norm_float64() * std_dev + mean
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//
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//
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// Normal distribution
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//
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@@ -11,12 +17,6 @@ import "core:math"
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// https://www.jstatsoft.org/index.php/jss/article/view/v005i08/ziggurat.pdf [pdf]
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// https://www.jstatsoft.org/article/view/v005i08 [web page]
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//
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// norm_float64 returns a normally distributed f64 in the range -max(f64) through +max(f64) inclusive,
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// with a standard normal distribution with a mean of 0 and standard deviation of 1.
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//
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// sample = norm_float64() * std_dev + mean
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//
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norm_float64 :: proc(r: ^Rand = nil) -> f64 {
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rn :: 3.442619855899
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@@ -49,7 +49,6 @@ norm_float64 :: proc(r: ^Rand = nil) -> f64 {
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0x7da61a1e, 0x7d72a0fb, 0x7d30e097, 0x7cd9b4ab, 0x7c600f1a,
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0x7ba90bdc, 0x7a722176, 0x77d664e5,
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}
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@(static)
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wn := [128]f32{
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1.7290405e-09, 1.2680929e-10, 1.6897518e-10, 1.9862688e-10,
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@@ -85,7 +84,6 @@ norm_float64 :: proc(r: ^Rand = nil) -> f64 {
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1.2601323e-09, 1.2857697e-09, 1.3146202e-09, 1.347784e-09,
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1.3870636e-09, 1.4357403e-09, 1.5008659e-09, 1.6030948e-09,
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}
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@(static)
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fn := [128]f32{
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1.00000000, 0.9635997, 0.9362827, 0.9130436, 0.89228165,
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