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		@@ -16,7 +16,7 @@ class GaussianDistribution implements \Stringable
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     * Square Root 2π.
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     * Precalculated constant for performance reasons
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     * sqrt(2*pi)
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     * from https://www.wolframalpha.com/input?i=sqrt%282*pi%29
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     * @link https://www.wolframalpha.com/input?i=sqrt%282*pi%29 Source of value
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     */
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    private const M_SQRT_2_PI = 2.5066282746310005024157652848110452530069867406099383166299235763;
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@@ -24,7 +24,7 @@ class GaussianDistribution implements \Stringable
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     * Log of Square Root 2π.
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     * Precalculated constant for performance reasons
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     * log(sqrt(2*pi))
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     * From https://www.wolframalpha.com/input?i=log%28sqrt%282*pi%29%29
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     * @link https://www.wolframalpha.com/input?i=log%28sqrt%282*pi%29%29 Source of value
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     */
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    private const M_LOG_SQRT_2_PI = 0.9189385332046727417803297364056176398613974736377834128171515404;
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@@ -76,7 +76,8 @@ class GaussianDistribution implements \Stringable
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    }
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    /**
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     * Great derivation of this is at http://www.astro.psu.edu/~mce/A451_2/A451/downloads/notes0.pdf
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     * Great derivation of this is at 
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     * @link http://www.astro.psu.edu/~mce/A451_2/A451/downloads/notes0.pdf 
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     */
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    public function getNormalizationConstant(): float
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    {
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