<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="generator" content="rustdoc">
<meta name="description" content="Source to the Rust file `/home/dimitris/.cargo/registry/src/github.com-1ecc6299db9ec823/rand-0.3.15/src/distributions/normal.rs`.">
<meta name="keywords" content="rust, rustlang, rust-lang">
<title>normal.rs.html -- source</title>
<link rel="stylesheet" type="text/css" href="../../../normalize.css">
<link rel="stylesheet" type="text/css" href="../../../rustdoc.css">
<link rel="stylesheet" type="text/css" href="../../../main.css">
<link rel="shortcut icon" href="https://www.rust-lang.org/favicon.ico">
</head>
<body class="rustdoc">
<!--[if lte IE 8]>
<div class="warning">
This old browser is unsupported and will most likely display funky
things.
</div>
<![endif]-->
<nav class="sidebar">
<a href='../../../rand/index.html'><img src='https://www.rust-lang.org/logos/rust-logo-128x128-blk.png' alt='logo' width='100'></a>
</nav>
<nav class="sub">
<form class="search-form js-only">
<div class="search-container">
<input class="search-input" name="search"
autocomplete="off"
placeholder="Click or press ‘S’ to search, ‘?’ for more options…"
type="search">
</div>
</form>
</nav>
<section id='main' class="content source"><pre class="line-numbers"><span id="1"> 1</span>
<span id="2"> 2</span>
<span id="3"> 3</span>
<span id="4"> 4</span>
<span id="5"> 5</span>
<span id="6"> 6</span>
<span id="7"> 7</span>
<span id="8"> 8</span>
<span id="9"> 9</span>
<span id="10"> 10</span>
<span id="11"> 11</span>
<span id="12"> 12</span>
<span id="13"> 13</span>
<span id="14"> 14</span>
<span id="15"> 15</span>
<span id="16"> 16</span>
<span id="17"> 17</span>
<span id="18"> 18</span>
<span id="19"> 19</span>
<span id="20"> 20</span>
<span id="21"> 21</span>
<span id="22"> 22</span>
<span id="23"> 23</span>
<span id="24"> 24</span>
<span id="25"> 25</span>
<span id="26"> 26</span>
<span id="27"> 27</span>
<span id="28"> 28</span>
<span id="29"> 29</span>
<span id="30"> 30</span>
<span id="31"> 31</span>
<span id="32"> 32</span>
<span id="33"> 33</span>
<span id="34"> 34</span>
<span id="35"> 35</span>
<span id="36"> 36</span>
<span id="37"> 37</span>
<span id="38"> 38</span>
<span id="39"> 39</span>
<span id="40"> 40</span>
<span id="41"> 41</span>
<span id="42"> 42</span>
<span id="43"> 43</span>
<span id="44"> 44</span>
<span id="45"> 45</span>
<span id="46"> 46</span>
<span id="47"> 47</span>
<span id="48"> 48</span>
<span id="49"> 49</span>
<span id="50"> 50</span>
<span id="51"> 51</span>
<span id="52"> 52</span>
<span id="53"> 53</span>
<span id="54"> 54</span>
<span id="55"> 55</span>
<span id="56"> 56</span>
<span id="57"> 57</span>
<span id="58"> 58</span>
<span id="59"> 59</span>
<span id="60"> 60</span>
<span id="61"> 61</span>
<span id="62"> 62</span>
<span id="63"> 63</span>
<span id="64"> 64</span>
<span id="65"> 65</span>
<span id="66"> 66</span>
<span id="67"> 67</span>
<span id="68"> 68</span>
<span id="69"> 69</span>
<span id="70"> 70</span>
<span id="71"> 71</span>
<span id="72"> 72</span>
<span id="73"> 73</span>
<span id="74"> 74</span>
<span id="75"> 75</span>
<span id="76"> 76</span>
<span id="77"> 77</span>
<span id="78"> 78</span>
<span id="79"> 79</span>
<span id="80"> 80</span>
<span id="81"> 81</span>
<span id="82"> 82</span>
<span id="83"> 83</span>
<span id="84"> 84</span>
<span id="85"> 85</span>
<span id="86"> 86</span>
<span id="87"> 87</span>
<span id="88"> 88</span>
<span id="89"> 89</span>
<span id="90"> 90</span>
<span id="91"> 91</span>
<span id="92"> 92</span>
<span id="93"> 93</span>
<span id="94"> 94</span>
<span id="95"> 95</span>
<span id="96"> 96</span>
<span id="97"> 97</span>
<span id="98"> 98</span>
<span id="99"> 99</span>
<span id="100">100</span>
<span id="101">101</span>
<span id="102">102</span>
<span id="103">103</span>
<span id="104">104</span>
<span id="105">105</span>
<span id="106">106</span>
<span id="107">107</span>
<span id="108">108</span>
<span id="109">109</span>
<span id="110">110</span>
<span id="111">111</span>
<span id="112">112</span>
<span id="113">113</span>
<span id="114">114</span>
<span id="115">115</span>
<span id="116">116</span>
<span id="117">117</span>
<span id="118">118</span>
<span id="119">119</span>
<span id="120">120</span>
<span id="121">121</span>
<span id="122">122</span>
<span id="123">123</span>
<span id="124">124</span>
<span id="125">125</span>
<span id="126">126</span>
<span id="127">127</span>
<span id="128">128</span>
<span id="129">129</span>
<span id="130">130</span>
<span id="131">131</span>
<span id="132">132</span>
<span id="133">133</span>
<span id="134">134</span>
<span id="135">135</span>
<span id="136">136</span>
<span id="137">137</span>
<span id="138">138</span>
<span id="139">139</span>
<span id="140">140</span>
<span id="141">141</span>
<span id="142">142</span>
<span id="143">143</span>
<span id="144">144</span>
<span id="145">145</span>
<span id="146">146</span>
<span id="147">147</span>
<span id="148">148</span>
<span id="149">149</span>
<span id="150">150</span>
<span id="151">151</span>
<span id="152">152</span>
<span id="153">153</span>
<span id="154">154</span>
<span id="155">155</span>
<span id="156">156</span>
<span id="157">157</span>
<span id="158">158</span>
<span id="159">159</span>
<span id="160">160</span>
<span id="161">161</span>
<span id="162">162</span>
<span id="163">163</span>
<span id="164">164</span>
<span id="165">165</span>
<span id="166">166</span>
<span id="167">167</span>
<span id="168">168</span>
<span id="169">169</span>
<span id="170">170</span>
<span id="171">171</span>
<span id="172">172</span>
<span id="173">173</span>
<span id="174">174</span>
<span id="175">175</span>
<span id="176">176</span>
<span id="177">177</span>
<span id="178">178</span>
<span id="179">179</span>
<span id="180">180</span>
<span id="181">181</span>
<span id="182">182</span>
<span id="183">183</span>
<span id="184">184</span>
<span id="185">185</span>
<span id="186">186</span>
<span id="187">187</span>
<span id="188">188</span>
<span id="189">189</span>
<span id="190">190</span>
<span id="191">191</span>
<span id="192">192</span>
<span id="193">193</span>
<span id="194">194</span>
<span id="195">195</span>
<span id="196">196</span>
<span id="197">197</span>
<span id="198">198</span>
<span id="199">199</span>
<span id="200">200</span>
<span id="201">201</span>
</pre><pre class='rust '>
<span class='comment'>// Copyright 2013 The Rust Project Developers. See the COPYRIGHT</span>
<span class='comment'>// file at the top-level directory of this distribution and at</span>
<span class='comment'>// http://rust-lang.org/COPYRIGHT.</span>
<span class='comment'>//</span>
<span class='comment'>// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or</span>
<span class='comment'>// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license</span>
<span class='comment'>// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your</span>
<span class='comment'>// option. This file may not be copied, modified, or distributed</span>
<span class='comment'>// except according to those terms.</span>
<span class='doccomment'>//! The normal and derived distributions.</span>
<span class='kw'>use</span> {<span class='ident'>Rng</span>, <span class='ident'>Rand</span>, <span class='ident'>Open01</span>};
<span class='kw'>use</span> <span class='ident'>distributions</span>::{<span class='ident'>ziggurat</span>, <span class='ident'>ziggurat_tables</span>, <span class='ident'>Sample</span>, <span class='ident'>IndependentSample</span>};
<span class='doccomment'>/// A wrapper around an `f64` to generate N(0, 1) random numbers</span>
<span class='doccomment'>/// (a.k.a. a standard normal, or Gaussian).</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// See `Normal` for the general normal distribution.</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// Implemented via the ZIGNOR variant[1] of the Ziggurat method.</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// [1]: Jurgen A. Doornik (2005). [*An Improved Ziggurat Method to</span>
<span class='doccomment'>/// Generate Normal Random</span>
<span class='doccomment'>/// Samples*](http://www.doornik.com/research/ziggurat.pdf). Nuffield</span>
<span class='doccomment'>/// College, Oxford</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// # Example</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// ```rust</span>
<span class='doccomment'>/// use rand::distributions::normal::StandardNormal;</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// let StandardNormal(x) = rand::random();</span>
<span class='doccomment'>/// println!("{}", x);</span>
<span class='doccomment'>/// ```</span>
<span class='attribute'>#[<span class='ident'>derive</span>(<span class='ident'>Clone</span>, <span class='ident'>Copy</span>)]</span>
<span class='kw'>pub</span> <span class='kw'>struct</span> <span class='ident'>StandardNormal</span>(<span class='kw'>pub</span> <span class='ident'>f64</span>);
<span class='kw'>impl</span> <span class='ident'>Rand</span> <span class='kw'>for</span> <span class='ident'>StandardNormal</span> {
<span class='kw'>fn</span> <span class='ident'>rand</span><span class='op'><</span><span class='ident'>R</span>:<span class='ident'>Rng</span><span class='op'>></span>(<span class='ident'>rng</span>: <span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>R</span>) <span class='op'>-></span> <span class='ident'>StandardNormal</span> {
<span class='attribute'>#[<span class='ident'>inline</span>]</span>
<span class='kw'>fn</span> <span class='ident'>pdf</span>(<span class='ident'>x</span>: <span class='ident'>f64</span>) <span class='op'>-></span> <span class='ident'>f64</span> {
(<span class='op'>-</span><span class='ident'>x</span><span class='kw-2'>*</span><span class='ident'>x</span><span class='op'>/</span><span class='number'>2.0</span>).<span class='ident'>exp</span>()
}
<span class='attribute'>#[<span class='ident'>inline</span>]</span>
<span class='kw'>fn</span> <span class='ident'>zero_case</span><span class='op'><</span><span class='ident'>R</span>:<span class='ident'>Rng</span><span class='op'>></span>(<span class='ident'>rng</span>: <span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>R</span>, <span class='ident'>u</span>: <span class='ident'>f64</span>) <span class='op'>-></span> <span class='ident'>f64</span> {
<span class='comment'>// compute a random number in the tail by hand</span>
<span class='comment'>// strange initial conditions, because the loop is not</span>
<span class='comment'>// do-while, so the condition should be true on the first</span>
<span class='comment'>// run, they get overwritten anyway (0 < 1, so these are</span>
<span class='comment'>// good).</span>
<span class='kw'>let</span> <span class='kw-2'>mut</span> <span class='ident'>x</span> <span class='op'>=</span> <span class='number'>1.0f64</span>;
<span class='kw'>let</span> <span class='kw-2'>mut</span> <span class='ident'>y</span> <span class='op'>=</span> <span class='number'>0.0f64</span>;
<span class='kw'>while</span> <span class='op'>-</span><span class='number'>2.0</span> <span class='op'>*</span> <span class='ident'>y</span> <span class='op'><</span> <span class='ident'>x</span> <span class='op'>*</span> <span class='ident'>x</span> {
<span class='kw'>let</span> <span class='ident'>Open01</span>(<span class='ident'>x_</span>) <span class='op'>=</span> <span class='ident'>rng</span>.<span class='ident'>gen</span>::<span class='op'><</span><span class='ident'>Open01</span><span class='op'><</span><span class='ident'>f64</span><span class='op'>>></span>();
<span class='kw'>let</span> <span class='ident'>Open01</span>(<span class='ident'>y_</span>) <span class='op'>=</span> <span class='ident'>rng</span>.<span class='ident'>gen</span>::<span class='op'><</span><span class='ident'>Open01</span><span class='op'><</span><span class='ident'>f64</span><span class='op'>>></span>();
<span class='ident'>x</span> <span class='op'>=</span> <span class='ident'>x_</span>.<span class='ident'>ln</span>() <span class='op'>/</span> <span class='ident'>ziggurat_tables</span>::<span class='ident'>ZIG_NORM_R</span>;
<span class='ident'>y</span> <span class='op'>=</span> <span class='ident'>y_</span>.<span class='ident'>ln</span>();
}
<span class='kw'>if</span> <span class='ident'>u</span> <span class='op'><</span> <span class='number'>0.0</span> { <span class='ident'>x</span> <span class='op'>-</span> <span class='ident'>ziggurat_tables</span>::<span class='ident'>ZIG_NORM_R</span> } <span class='kw'>else</span> { <span class='ident'>ziggurat_tables</span>::<span class='ident'>ZIG_NORM_R</span> <span class='op'>-</span> <span class='ident'>x</span> }
}
<span class='ident'>StandardNormal</span>(<span class='ident'>ziggurat</span>(
<span class='ident'>rng</span>,
<span class='bool-val'>true</span>, <span class='comment'>// this is symmetric</span>
<span class='kw-2'>&</span><span class='ident'>ziggurat_tables</span>::<span class='ident'>ZIG_NORM_X</span>,
<span class='kw-2'>&</span><span class='ident'>ziggurat_tables</span>::<span class='ident'>ZIG_NORM_F</span>,
<span class='ident'>pdf</span>, <span class='ident'>zero_case</span>))
}
}
<span class='doccomment'>/// The normal distribution `N(mean, std_dev**2)`.</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// This uses the ZIGNOR variant of the Ziggurat method, see</span>
<span class='doccomment'>/// `StandardNormal` for more details.</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// # Example</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// ```rust</span>
<span class='doccomment'>/// use rand::distributions::{Normal, IndependentSample};</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// // mean 2, standard deviation 3</span>
<span class='doccomment'>/// let normal = Normal::new(2.0, 3.0);</span>
<span class='doccomment'>/// let v = normal.ind_sample(&mut rand::thread_rng());</span>
<span class='doccomment'>/// println!("{} is from a N(2, 9) distribution", v)</span>
<span class='doccomment'>/// ```</span>
<span class='attribute'>#[<span class='ident'>derive</span>(<span class='ident'>Clone</span>, <span class='ident'>Copy</span>)]</span>
<span class='kw'>pub</span> <span class='kw'>struct</span> <span class='ident'>Normal</span> {
<span class='ident'>mean</span>: <span class='ident'>f64</span>,
<span class='ident'>std_dev</span>: <span class='ident'>f64</span>,
}
<span class='kw'>impl</span> <span class='ident'>Normal</span> {
<span class='doccomment'>/// Construct a new `Normal` distribution with the given mean and</span>
<span class='doccomment'>/// standard deviation.</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// # Panics</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// Panics if `std_dev < 0`.</span>
<span class='attribute'>#[<span class='ident'>inline</span>]</span>
<span class='kw'>pub</span> <span class='kw'>fn</span> <span class='ident'>new</span>(<span class='ident'>mean</span>: <span class='ident'>f64</span>, <span class='ident'>std_dev</span>: <span class='ident'>f64</span>) <span class='op'>-></span> <span class='ident'>Normal</span> {
<span class='macro'>assert</span><span class='macro'>!</span>(<span class='ident'>std_dev</span> <span class='op'>>=</span> <span class='number'>0.0</span>, <span class='string'>"Normal::new called with `std_dev` < 0"</span>);
<span class='ident'>Normal</span> {
<span class='ident'>mean</span>: <span class='ident'>mean</span>,
<span class='ident'>std_dev</span>: <span class='ident'>std_dev</span>
}
}
}
<span class='kw'>impl</span> <span class='ident'>Sample</span><span class='op'><</span><span class='ident'>f64</span><span class='op'>></span> <span class='kw'>for</span> <span class='ident'>Normal</span> {
<span class='kw'>fn</span> <span class='ident'>sample</span><span class='op'><</span><span class='ident'>R</span>: <span class='ident'>Rng</span><span class='op'>></span>(<span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='self'>self</span>, <span class='ident'>rng</span>: <span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>R</span>) <span class='op'>-></span> <span class='ident'>f64</span> { <span class='self'>self</span>.<span class='ident'>ind_sample</span>(<span class='ident'>rng</span>) }
}
<span class='kw'>impl</span> <span class='ident'>IndependentSample</span><span class='op'><</span><span class='ident'>f64</span><span class='op'>></span> <span class='kw'>for</span> <span class='ident'>Normal</span> {
<span class='kw'>fn</span> <span class='ident'>ind_sample</span><span class='op'><</span><span class='ident'>R</span>: <span class='ident'>Rng</span><span class='op'>></span>(<span class='kw-2'>&</span><span class='self'>self</span>, <span class='ident'>rng</span>: <span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>R</span>) <span class='op'>-></span> <span class='ident'>f64</span> {
<span class='kw'>let</span> <span class='ident'>StandardNormal</span>(<span class='ident'>n</span>) <span class='op'>=</span> <span class='ident'>rng</span>.<span class='ident'>gen</span>::<span class='op'><</span><span class='ident'>StandardNormal</span><span class='op'>></span>();
<span class='self'>self</span>.<span class='ident'>mean</span> <span class='op'>+</span> <span class='self'>self</span>.<span class='ident'>std_dev</span> <span class='op'>*</span> <span class='ident'>n</span>
}
}
<span class='doccomment'>/// The log-normal distribution `ln N(mean, std_dev**2)`.</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// If `X` is log-normal distributed, then `ln(X)` is `N(mean,</span>
<span class='doccomment'>/// std_dev**2)` distributed.</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// # Example</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// ```rust</span>
<span class='doccomment'>/// use rand::distributions::{LogNormal, IndependentSample};</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// // mean 2, standard deviation 3</span>
<span class='doccomment'>/// let log_normal = LogNormal::new(2.0, 3.0);</span>
<span class='doccomment'>/// let v = log_normal.ind_sample(&mut rand::thread_rng());</span>
<span class='doccomment'>/// println!("{} is from an ln N(2, 9) distribution", v)</span>
<span class='doccomment'>/// ```</span>
<span class='attribute'>#[<span class='ident'>derive</span>(<span class='ident'>Clone</span>, <span class='ident'>Copy</span>)]</span>
<span class='kw'>pub</span> <span class='kw'>struct</span> <span class='ident'>LogNormal</span> {
<span class='ident'>norm</span>: <span class='ident'>Normal</span>
}
<span class='kw'>impl</span> <span class='ident'>LogNormal</span> {
<span class='doccomment'>/// Construct a new `LogNormal` distribution with the given mean</span>
<span class='doccomment'>/// and standard deviation.</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// # Panics</span>
<span class='doccomment'>///</span>
<span class='doccomment'>/// Panics if `std_dev < 0`.</span>
<span class='attribute'>#[<span class='ident'>inline</span>]</span>
<span class='kw'>pub</span> <span class='kw'>fn</span> <span class='ident'>new</span>(<span class='ident'>mean</span>: <span class='ident'>f64</span>, <span class='ident'>std_dev</span>: <span class='ident'>f64</span>) <span class='op'>-></span> <span class='ident'>LogNormal</span> {
<span class='macro'>assert</span><span class='macro'>!</span>(<span class='ident'>std_dev</span> <span class='op'>>=</span> <span class='number'>0.0</span>, <span class='string'>"LogNormal::new called with `std_dev` < 0"</span>);
<span class='ident'>LogNormal</span> { <span class='ident'>norm</span>: <span class='ident'>Normal</span>::<span class='ident'>new</span>(<span class='ident'>mean</span>, <span class='ident'>std_dev</span>) }
}
}
<span class='kw'>impl</span> <span class='ident'>Sample</span><span class='op'><</span><span class='ident'>f64</span><span class='op'>></span> <span class='kw'>for</span> <span class='ident'>LogNormal</span> {
<span class='kw'>fn</span> <span class='ident'>sample</span><span class='op'><</span><span class='ident'>R</span>: <span class='ident'>Rng</span><span class='op'>></span>(<span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='self'>self</span>, <span class='ident'>rng</span>: <span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>R</span>) <span class='op'>-></span> <span class='ident'>f64</span> { <span class='self'>self</span>.<span class='ident'>ind_sample</span>(<span class='ident'>rng</span>) }
}
<span class='kw'>impl</span> <span class='ident'>IndependentSample</span><span class='op'><</span><span class='ident'>f64</span><span class='op'>></span> <span class='kw'>for</span> <span class='ident'>LogNormal</span> {
<span class='kw'>fn</span> <span class='ident'>ind_sample</span><span class='op'><</span><span class='ident'>R</span>: <span class='ident'>Rng</span><span class='op'>></span>(<span class='kw-2'>&</span><span class='self'>self</span>, <span class='ident'>rng</span>: <span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>R</span>) <span class='op'>-></span> <span class='ident'>f64</span> {
<span class='self'>self</span>.<span class='ident'>norm</span>.<span class='ident'>ind_sample</span>(<span class='ident'>rng</span>).<span class='ident'>exp</span>()
}
}
<span class='attribute'>#[<span class='ident'>cfg</span>(<span class='ident'>test</span>)]</span>
<span class='kw'>mod</span> <span class='ident'>tests</span> {
<span class='kw'>use</span> <span class='ident'>distributions</span>::{<span class='ident'>Sample</span>, <span class='ident'>IndependentSample</span>};
<span class='kw'>use</span> <span class='kw'>super</span>::{<span class='ident'>Normal</span>, <span class='ident'>LogNormal</span>};
<span class='attribute'>#[<span class='ident'>test</span>]</span>
<span class='kw'>fn</span> <span class='ident'>test_normal</span>() {
<span class='kw'>let</span> <span class='kw-2'>mut</span> <span class='ident'>norm</span> <span class='op'>=</span> <span class='ident'>Normal</span>::<span class='ident'>new</span>(<span class='number'>10.0</span>, <span class='number'>10.0</span>);
<span class='kw'>let</span> <span class='kw-2'>mut</span> <span class='ident'>rng</span> <span class='op'>=</span> ::<span class='ident'>test</span>::<span class='ident'>rng</span>();
<span class='kw'>for</span> _ <span class='kw'>in</span> <span class='number'>0</span>..<span class='number'>1000</span> {
<span class='ident'>norm</span>.<span class='ident'>sample</span>(<span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>rng</span>);
<span class='ident'>norm</span>.<span class='ident'>ind_sample</span>(<span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>rng</span>);
}
}
<span class='attribute'>#[<span class='ident'>test</span>]</span>
<span class='attribute'>#[<span class='ident'>should_panic</span>]</span>
<span class='kw'>fn</span> <span class='ident'>test_normal_invalid_sd</span>() {
<span class='ident'>Normal</span>::<span class='ident'>new</span>(<span class='number'>10.0</span>, <span class='op'>-</span><span class='number'>1.0</span>);
}
<span class='attribute'>#[<span class='ident'>test</span>]</span>
<span class='kw'>fn</span> <span class='ident'>test_log_normal</span>() {
<span class='kw'>let</span> <span class='kw-2'>mut</span> <span class='ident'>lnorm</span> <span class='op'>=</span> <span class='ident'>LogNormal</span>::<span class='ident'>new</span>(<span class='number'>10.0</span>, <span class='number'>10.0</span>);
<span class='kw'>let</span> <span class='kw-2'>mut</span> <span class='ident'>rng</span> <span class='op'>=</span> ::<span class='ident'>test</span>::<span class='ident'>rng</span>();
<span class='kw'>for</span> _ <span class='kw'>in</span> <span class='number'>0</span>..<span class='number'>1000</span> {
<span class='ident'>lnorm</span>.<span class='ident'>sample</span>(<span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>rng</span>);
<span class='ident'>lnorm</span>.<span class='ident'>ind_sample</span>(<span class='kw-2'>&</span><span class='kw-2'>mut</span> <span class='ident'>rng</span>);
}
}
<span class='attribute'>#[<span class='ident'>test</span>]</span>
<span class='attribute'>#[<span class='ident'>should_panic</span>]</span>
<span class='kw'>fn</span> <span class='ident'>test_log_normal_invalid_sd</span>() {
<span class='ident'>LogNormal</span>::<span class='ident'>new</span>(<span class='number'>10.0</span>, <span class='op'>-</span><span class='number'>1.0</span>);
}
}
</pre>
</section>
<section id='search' class="content hidden"></section>
<section class="footer"></section>
<aside id="help" class="hidden">
<div>
<h1 class="hidden">Help</h1>
<div class="shortcuts">
<h2>Keyboard Shortcuts</h2>
<dl>
<dt>?</dt>
<dd>Show this help dialog</dd>
<dt>S</dt>
<dd>Focus the search field</dd>
<dt>⇤</dt>
<dd>Move up in search results</dd>
<dt>⇥</dt>
<dd>Move down in search results</dd>
<dt>⏎</dt>
<dd>Go to active search result</dd>
<dt>+</dt>
<dd>Collapse/expand all sections</dd>
</dl>
</div>
<div class="infos">
<h2>Search Tricks</h2>
<p>
Prefix searches with a type followed by a colon (e.g.
<code>fn:</code>) to restrict the search to a given type.
</p>
<p>
Accepted types are: <code>fn</code>, <code>mod</code>,
<code>struct</code>, <code>enum</code>,
<code>trait</code>, <code>type</code>, <code>macro</code>,
and <code>const</code>.
</p>
<p>
Search functions by type signature (e.g.
<code>vec -> usize</code> or <code>* -> vec</code>)
</p>
</div>
</div>
</aside>
<script>
window.rootPath = "../../../";
window.currentCrate = "rand";
</script>
<script src="../../../jquery.js"></script>
<script src="../../../main.js"></script>
<script defer src="../../../search-index.js"></script>
</body>
</html>