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+<h1> Package rand  </h1>     <ul id="short-nav">
+<li><code>import "math/rand"</code></li>
+<li><a href="#pkg-overview" class="overviewLink">Overview</a></li>
+<li><a href="#pkg-index" class="indexLink">Index</a></li>
+<li><a href="#pkg-examples" class="examplesLink">Examples</a></li>
+<li><a href="#pkg-subdirectories">Subdirectories</a></li>
+</ul>     <h2 id="pkg-overview">Overview </h2> <p>Package rand implements pseudo-random number generators suitable for tasks such as simulation, but it should not be used for security-sensitive work. </p>
+<p>Random numbers are generated by a <a href="#Source">Source</a>, usually wrapped in a <a href="#Rand">Rand</a>. Both types should be used by a single goroutine at a time: sharing among multiple goroutines requires some kind of synchronization. </p>
+<p>Top-level functions, such as <a href="#Float64">Float64</a> and <a href="#Int">Int</a>, are safe for concurrent use by multiple goroutines. </p>
+<p>This package's outputs might be easily predictable regardless of how it's seeded. For random numbers suitable for security-sensitive work, see the crypto/rand package. </p>   <h4 id="example_"> <span class="text">Example</span>
+</h4> <p>Code:</p> <pre class="code" data-language="go">
+answers := []string{
+    "It is certain",
+    "It is decidedly so",
+    "Without a doubt",
+    "Yes definitely",
+    "You may rely on it",
+    "As I see it yes",
+    "Most likely",
+    "Outlook good",
+    "Yes",
+    "Signs point to yes",
+    "Reply hazy try again",
+    "Ask again later",
+    "Better not tell you now",
+    "Cannot predict now",
+    "Concentrate and ask again",
+    "Don't count on it",
+    "My reply is no",
+    "My sources say no",
+    "Outlook not so good",
+    "Very doubtful",
+}
+fmt.Println("Magic 8-Ball says:", answers[rand.Intn(len(answers))])
+</pre>      <h4 id="example__rand"> <span class="text">Example (Rand)</span>
+</h4> <p>This example shows the use of each of the methods on a *Rand. The use of the global functions is the same, without the receiver. </p> <p>Code:</p> <pre class="code" data-language="go">// Create and seed the generator.
+// Typically a non-fixed seed should be used, such as time.Now().UnixNano().
+// Using a fixed seed will produce the same output on every run.
+r := rand.New(rand.NewSource(99))
+
+// The tabwriter here helps us generate aligned output.
+w := tabwriter.NewWriter(os.Stdout, 1, 1, 1, ' ', 0)
+defer w.Flush()
+show := func(name string, v1, v2, v3 any) {
+    fmt.Fprintf(w, "%s\t%v\t%v\t%v\n", name, v1, v2, v3)
+}
+
+// Float32 and Float64 values are in [0, 1).
+show("Float32", r.Float32(), r.Float32(), r.Float32())
+show("Float64", r.Float64(), r.Float64(), r.Float64())
+
+// ExpFloat64 values have an average of 1 but decay exponentially.
+show("ExpFloat64", r.ExpFloat64(), r.ExpFloat64(), r.ExpFloat64())
+
+// NormFloat64 values have an average of 0 and a standard deviation of 1.
+show("NormFloat64", r.NormFloat64(), r.NormFloat64(), r.NormFloat64())
+
+// Int31, Int63, and Uint32 generate values of the given width.
+// The Int method (not shown) is like either Int31 or Int63
+// depending on the size of 'int'.
+show("Int31", r.Int31(), r.Int31(), r.Int31())
+show("Int63", r.Int63(), r.Int63(), r.Int63())
+show("Uint32", r.Uint32(), r.Uint32(), r.Uint32())
+
+// Intn, Int31n, and Int63n limit their output to be &lt; n.
+// They do so more carefully than using r.Int()%n.
+show("Intn(10)", r.Intn(10), r.Intn(10), r.Intn(10))
+show("Int31n(10)", r.Int31n(10), r.Int31n(10), r.Int31n(10))
+show("Int63n(10)", r.Int63n(10), r.Int63n(10), r.Int63n(10))
+
+// Perm generates a random permutation of the numbers [0, n).
+show("Perm", r.Perm(5), r.Perm(5), r.Perm(5))
+</pre> <p>Output:</p> <pre class="output" data-language="go">Float32     0.2635776           0.6358173           0.6718283
+Float64     0.628605430454327   0.4504798828572669  0.9562755949377957
+ExpFloat64  0.3362240648200941  1.4256072328483647  0.24354758816173044
+NormFloat64 0.17233959114940064 1.577014951434847   0.04259129641113857
+Int31       1501292890          1486668269          182840835
+Int63       3546343826724305832 5724354148158589552 5239846799706671610
+Uint32      2760229429          296659907           1922395059
+Intn(10)    1                   2                   5
+Int31n(10)  4                   7                   8
+Int63n(10)  7                   6                   3
+Perm        [1 4 2 3 0]         [4 2 1 3 0]         [1 2 4 0 3]
+</pre>        <h2 id="pkg-index">Index </h2>  <ul id="manual-nav">
+<li><a href="#ExpFloat64">func ExpFloat64() float64</a></li>
+<li><a href="#Float32">func Float32() float32</a></li>
+<li><a href="#Float64">func Float64() float64</a></li>
+<li><a href="#Int">func Int() int</a></li>
+<li><a href="#Int31">func Int31() int32</a></li>
+<li><a href="#Int31n">func Int31n(n int32) int32</a></li>
+<li><a href="#Int63">func Int63() int64</a></li>
+<li><a href="#Int63n">func Int63n(n int64) int64</a></li>
+<li><a href="#Intn">func Intn(n int) int</a></li>
+<li><a href="#NormFloat64">func NormFloat64() float64</a></li>
+<li><a href="#Perm">func Perm(n int) []int</a></li>
+<li><a href="#Read">func Read(p []byte) (n int, err error)</a></li>
+<li><a href="#Seed">func Seed(seed int64)</a></li>
+<li><a href="#Shuffle">func Shuffle(n int, swap func(i, j int))</a></li>
+<li><a href="#Uint32">func Uint32() uint32</a></li>
+<li><a href="#Uint64">func Uint64() uint64</a></li>
+<li><a href="#Rand">type Rand</a></li>
+<li> <a href="#New">func New(src Source) *Rand</a>
+</li>
+<li> <a href="#Rand.ExpFloat64">func (r *Rand) ExpFloat64() float64</a>
+</li>
+<li> <a href="#Rand.Float32">func (r *Rand) Float32() float32</a>
+</li>
+<li> <a href="#Rand.Float64">func (r *Rand) Float64() float64</a>
+</li>
+<li> <a href="#Rand.Int">func (r *Rand) Int() int</a>
+</li>
+<li> <a href="#Rand.Int31">func (r *Rand) Int31() int32</a>
+</li>
+<li> <a href="#Rand.Int31n">func (r *Rand) Int31n(n int32) int32</a>
+</li>
+<li> <a href="#Rand.Int63">func (r *Rand) Int63() int64</a>
+</li>
+<li> <a href="#Rand.Int63n">func (r *Rand) Int63n(n int64) int64</a>
+</li>
+<li> <a href="#Rand.Intn">func (r *Rand) Intn(n int) int</a>
+</li>
+<li> <a href="#Rand.NormFloat64">func (r *Rand) NormFloat64() float64</a>
+</li>
+<li> <a href="#Rand.Perm">func (r *Rand) Perm(n int) []int</a>
+</li>
+<li> <a href="#Rand.Read">func (r *Rand) Read(p []byte) (n int, err error)</a>
+</li>
+<li> <a href="#Rand.Seed">func (r *Rand) Seed(seed int64)</a>
+</li>
+<li> <a href="#Rand.Shuffle">func (r *Rand) Shuffle(n int, swap func(i, j int))</a>
+</li>
+<li> <a href="#Rand.Uint32">func (r *Rand) Uint32() uint32</a>
+</li>
+<li> <a href="#Rand.Uint64">func (r *Rand) Uint64() uint64</a>
+</li>
+<li><a href="#Source">type Source</a></li>
+<li> <a href="#NewSource">func NewSource(seed int64) Source</a>
+</li>
+<li><a href="#Source64">type Source64</a></li>
+<li><a href="#Zipf">type Zipf</a></li>
+<li> <a href="#NewZipf">func NewZipf(r *Rand, s float64, v float64, imax uint64) *Zipf</a>
+</li>
+<li> <a href="#Zipf.Uint64">func (z *Zipf) Uint64() uint64</a>
+</li>
+</ul> <div id="pkg-examples"> <h3>Examples</h3>  <dl> <dd><a class="exampleLink" href="#example_">Package</a></dd> <dd><a class="exampleLink" href="#example_Intn">Intn</a></dd> <dd><a class="exampleLink" href="#example_Perm">Perm</a></dd> <dd><a class="exampleLink" href="#example_Shuffle">Shuffle</a></dd> <dd><a class="exampleLink" href="#example_Shuffle_slicesInUnison">Shuffle (SlicesInUnison)</a></dd> <dd><a class="exampleLink" href="#example__rand">Package (Rand)</a></dd> </dl> </div> <h3>Package files</h3> <p>  <span>exp.go</span> <span>normal.go</span> <span>rand.go</span> <span>rng.go</span> <span>zipf.go</span>  </p>   <h2 id="ExpFloat64">func <span>ExpFloat64</span>  </h2> <pre data-language="go">func ExpFloat64() float64</pre> <p>ExpFloat64 returns an exponentially distributed float64 in the range (0, +[math.MaxFloat64]] with an exponential distribution whose rate parameter (lambda) is 1 and whose mean is 1/lambda (1) from the default <a href="#Source">Source</a>. To produce a distribution with a different rate parameter, callers can adjust the output using: </p>
+<pre data-language="go">sample = ExpFloat64() / desiredRateParameter
+</pre> <h2 id="Float32">func <span>Float32</span>  </h2> <pre data-language="go">func Float32() float32</pre> <p>Float32 returns, as a float32, a pseudo-random number in the half-open interval [0.0,1.0) from the default <a href="#Source">Source</a>. </p>
+<h2 id="Float64">func <span>Float64</span>  </h2> <pre data-language="go">func Float64() float64</pre> <p>Float64 returns, as a float64, a pseudo-random number in the half-open interval [0.0,1.0) from the default <a href="#Source">Source</a>. </p>
+<h2 id="Int">func <span>Int</span>  </h2> <pre data-language="go">func Int() int</pre> <p>Int returns a non-negative pseudo-random int from the default <a href="#Source">Source</a>. </p>
+<h2 id="Int31">func <span>Int31</span>  </h2> <pre data-language="go">func Int31() int32</pre> <p>Int31 returns a non-negative pseudo-random 31-bit integer as an int32 from the default <a href="#Source">Source</a>. </p>
+<h2 id="Int31n">func <span>Int31n</span>  </h2> <pre data-language="go">func Int31n(n int32) int32</pre> <p>Int31n returns, as an int32, a non-negative pseudo-random number in the half-open interval [0,n) from the default <a href="#Source">Source</a>. It panics if n &lt;= 0. </p>
+<h2 id="Int63">func <span>Int63</span>  </h2> <pre data-language="go">func Int63() int64</pre> <p>Int63 returns a non-negative pseudo-random 63-bit integer as an int64 from the default <a href="#Source">Source</a>. </p>
+<h2 id="Int63n">func <span>Int63n</span>  </h2> <pre data-language="go">func Int63n(n int64) int64</pre> <p>Int63n returns, as an int64, a non-negative pseudo-random number in the half-open interval [0,n) from the default <a href="#Source">Source</a>. It panics if n &lt;= 0. </p>
+<h2 id="Intn">func <span>Intn</span>  </h2> <pre data-language="go">func Intn(n int) int</pre> <p>Intn returns, as an int, a non-negative pseudo-random number in the half-open interval [0,n) from the default <a href="#Source">Source</a>. It panics if n &lt;= 0. </p>   <h4 id="example_Intn"> <span class="text">Example</span>
+</h4> <p>Code:</p> <pre class="code" data-language="go">
+fmt.Println(rand.Intn(100))
+fmt.Println(rand.Intn(100))
+fmt.Println(rand.Intn(100))
+</pre>   <h2 id="NormFloat64">func <span>NormFloat64</span>  </h2> <pre data-language="go">func NormFloat64() float64</pre> <p>NormFloat64 returns a normally distributed float64 in the range [-<span>math.MaxFloat64</span>, +[math.MaxFloat64]] with standard normal distribution (mean = 0, stddev = 1) from the default <a href="#Source">Source</a>. To produce a different normal distribution, callers can adjust the output using: </p>
+<pre data-language="go">sample = NormFloat64() * desiredStdDev + desiredMean
+</pre> <h2 id="Perm">func <span>Perm</span>  </h2> <pre data-language="go">func Perm(n int) []int</pre> <p>Perm returns, as a slice of n ints, a pseudo-random permutation of the integers in the half-open interval [0,n) from the default <a href="#Source">Source</a>. </p>   <h4 id="example_Perm"> <span class="text">Example</span>
+</h4> <p>Code:</p> <pre class="code" data-language="go">for _, value := range rand.Perm(3) {
+    fmt.Println(value)
+}
+
+</pre> <p>Output:</p> <pre class="output" data-language="go">1
+2
+0
+</pre>   <h2 id="Read">func <span>Read</span>  <span title="Added in Go 1.6">1.6</span> </h2> <pre data-language="go">func Read(p []byte) (n int, err error)</pre> <p>Read generates len(p) random bytes from the default <a href="#Source">Source</a> and writes them into p. It always returns len(p) and a nil error. Read, unlike the <a href="#Rand.Read">Rand.Read</a> method, is safe for concurrent use. </p>
+<p>Deprecated: For almost all use cases, <span>crypto/rand.Read</span> is more appropriate. </p>
+<h2 id="Seed">func <span>Seed</span>  </h2> <pre data-language="go">func Seed(seed int64)</pre> <p>Seed uses the provided seed value to initialize the default Source to a deterministic state. Seed values that have the same remainder when divided by 2³¹-1 generate the same pseudo-random sequence. Seed, unlike the <a href="#Rand.Seed">Rand.Seed</a> method, is safe for concurrent use. </p>
+<p>If Seed is not called, the generator is seeded randomly at program startup. </p>
+<p>Prior to Go 1.20, the generator was seeded like Seed(1) at program startup. To force the old behavior, call Seed(1) at program startup. Alternately, set GODEBUG=randautoseed=0 in the environment before making any calls to functions in this package. </p>
+<p>Deprecated: As of Go 1.20 there is no reason to call Seed with a random value. Programs that call Seed with a known value to get a specific sequence of results should use New(NewSource(seed)) to obtain a local random generator. </p>
+<h2 id="Shuffle">func <span>Shuffle</span>  <span title="Added in Go 1.10">1.10</span> </h2> <pre data-language="go">func Shuffle(n int, swap func(i, j int))</pre> <p>Shuffle pseudo-randomizes the order of elements using the default <a href="#Source">Source</a>. n is the number of elements. Shuffle panics if n &lt; 0. swap swaps the elements with indexes i and j. </p>   <h4 id="example_Shuffle"> <span class="text">Example</span>
+</h4> <p>Code:</p> <pre class="code" data-language="go">
+words := strings.Fields("ink runs from the corners of my mouth")
+rand.Shuffle(len(words), func(i, j int) {
+    words[i], words[j] = words[j], words[i]
+})
+fmt.Println(words)
+</pre>      <h4 id="example_Shuffle_slicesInUnison"> <span class="text">Example (SlicesInUnison)</span>
+</h4> <p>Code:</p> <pre class="code" data-language="go">
+numbers := []byte("12345")
+letters := []byte("ABCDE")
+// Shuffle numbers, swapping corresponding entries in letters at the same time.
+rand.Shuffle(len(numbers), func(i, j int) {
+    numbers[i], numbers[j] = numbers[j], numbers[i]
+    letters[i], letters[j] = letters[j], letters[i]
+})
+for i := range numbers {
+    fmt.Printf("%c: %c\n", letters[i], numbers[i])
+}
+</pre>   <h2 id="Uint32">func <span>Uint32</span>  </h2> <pre data-language="go">func Uint32() uint32</pre> <p>Uint32 returns a pseudo-random 32-bit value as a uint32 from the default <a href="#Source">Source</a>. </p>
+<h2 id="Uint64">func <span>Uint64</span>  <span title="Added in Go 1.8">1.8</span> </h2> <pre data-language="go">func Uint64() uint64</pre> <p>Uint64 returns a pseudo-random 64-bit value as a uint64 from the default <a href="#Source">Source</a>. </p>
+<h2 id="Rand">type <span>Rand</span>  </h2> <p>A Rand is a source of random numbers. </p>
+<pre data-language="go">type Rand struct {
+    // contains filtered or unexported fields
+}
+</pre> <h3 id="New">func <span>New</span>  </h3> <pre data-language="go">func New(src Source) *Rand</pre> <p>New returns a new <a href="#Rand">Rand</a> that uses random values from src to generate other random values. </p>
+<h3 id="Rand.ExpFloat64">func (*Rand) <span>ExpFloat64</span>  </h3> <pre data-language="go">func (r *Rand) ExpFloat64() float64</pre> <p>ExpFloat64 returns an exponentially distributed float64 in the range (0, +[math.MaxFloat64]] with an exponential distribution whose rate parameter (lambda) is 1 and whose mean is 1/lambda (1). To produce a distribution with a different rate parameter, callers can adjust the output using: </p>
+<pre data-language="go">sample = ExpFloat64() / desiredRateParameter
+</pre> <h3 id="Rand.Float32">func (*Rand) <span>Float32</span>  </h3> <pre data-language="go">func (r *Rand) Float32() float32</pre> <p>Float32 returns, as a float32, a pseudo-random number in the half-open interval [0.0,1.0). </p>
+<h3 id="Rand.Float64">func (*Rand) <span>Float64</span>  </h3> <pre data-language="go">func (r *Rand) Float64() float64</pre> <p>Float64 returns, as a float64, a pseudo-random number in the half-open interval [0.0,1.0). </p>
+<h3 id="Rand.Int">func (*Rand) <span>Int</span>  </h3> <pre data-language="go">func (r *Rand) Int() int</pre> <p>Int returns a non-negative pseudo-random int. </p>
+<h3 id="Rand.Int31">func (*Rand) <span>Int31</span>  </h3> <pre data-language="go">func (r *Rand) Int31() int32</pre> <p>Int31 returns a non-negative pseudo-random 31-bit integer as an int32. </p>
+<h3 id="Rand.Int31n">func (*Rand) <span>Int31n</span>  </h3> <pre data-language="go">func (r *Rand) Int31n(n int32) int32</pre> <p>Int31n returns, as an int32, a non-negative pseudo-random number in the half-open interval [0,n). It panics if n &lt;= 0. </p>
+<h3 id="Rand.Int63">func (*Rand) <span>Int63</span>  </h3> <pre data-language="go">func (r *Rand) Int63() int64</pre> <p>Int63 returns a non-negative pseudo-random 63-bit integer as an int64. </p>
+<h3 id="Rand.Int63n">func (*Rand) <span>Int63n</span>  </h3> <pre data-language="go">func (r *Rand) Int63n(n int64) int64</pre> <p>Int63n returns, as an int64, a non-negative pseudo-random number in the half-open interval [0,n). It panics if n &lt;= 0. </p>
+<h3 id="Rand.Intn">func (*Rand) <span>Intn</span>  </h3> <pre data-language="go">func (r *Rand) Intn(n int) int</pre> <p>Intn returns, as an int, a non-negative pseudo-random number in the half-open interval [0,n). It panics if n &lt;= 0. </p>
+<h3 id="Rand.NormFloat64">func (*Rand) <span>NormFloat64</span>  </h3> <pre data-language="go">func (r *Rand) NormFloat64() float64</pre> <p>NormFloat64 returns a normally distributed float64 in the range -<span>math.MaxFloat64</span> through +[math.MaxFloat64] inclusive, with standard normal distribution (mean = 0, stddev = 1). To produce a different normal distribution, callers can adjust the output using: </p>
+<pre data-language="go">sample = NormFloat64() * desiredStdDev + desiredMean
+</pre> <h3 id="Rand.Perm">func (*Rand) <span>Perm</span>  </h3> <pre data-language="go">func (r *Rand) Perm(n int) []int</pre> <p>Perm returns, as a slice of n ints, a pseudo-random permutation of the integers in the half-open interval [0,n). </p>
+<h3 id="Rand.Read">func (*Rand) <span>Read</span>  <span title="Added in Go 1.6">1.6</span> </h3> <pre data-language="go">func (r *Rand) Read(p []byte) (n int, err error)</pre> <p>Read generates len(p) random bytes and writes them into p. It always returns len(p) and a nil error. Read should not be called concurrently with any other Rand method. </p>
+<h3 id="Rand.Seed">func (*Rand) <span>Seed</span>  </h3> <pre data-language="go">func (r *Rand) Seed(seed int64)</pre> <p>Seed uses the provided seed value to initialize the generator to a deterministic state. Seed should not be called concurrently with any other <a href="#Rand">Rand</a> method. </p>
+<h3 id="Rand.Shuffle">func (*Rand) <span>Shuffle</span>  <span title="Added in Go 1.10">1.10</span> </h3> <pre data-language="go">func (r *Rand) Shuffle(n int, swap func(i, j int))</pre> <p>Shuffle pseudo-randomizes the order of elements. n is the number of elements. Shuffle panics if n &lt; 0. swap swaps the elements with indexes i and j. </p>
+<h3 id="Rand.Uint32">func (*Rand) <span>Uint32</span>  </h3> <pre data-language="go">func (r *Rand) Uint32() uint32</pre> <p>Uint32 returns a pseudo-random 32-bit value as a uint32. </p>
+<h3 id="Rand.Uint64">func (*Rand) <span>Uint64</span>  <span title="Added in Go 1.8">1.8</span> </h3> <pre data-language="go">func (r *Rand) Uint64() uint64</pre> <p>Uint64 returns a pseudo-random 64-bit value as a uint64. </p>
+<h2 id="Source">type <span>Source</span>  </h2> <p>A Source represents a source of uniformly-distributed pseudo-random int64 values in the range [0, 1&lt;&lt;63). </p>
+<p>A Source is not safe for concurrent use by multiple goroutines. </p>
+<pre data-language="go">type Source interface {
+    Int63() int64
+    Seed(seed int64)
+}</pre> <h3 id="NewSource">func <span>NewSource</span>  </h3> <pre data-language="go">func NewSource(seed int64) Source</pre> <p>NewSource returns a new pseudo-random <a href="#Source">Source</a> seeded with the given value. Unlike the default <a href="#Source">Source</a> used by top-level functions, this source is not safe for concurrent use by multiple goroutines. The returned <a href="#Source">Source</a> implements <a href="#Source64">Source64</a>. </p>
+<h2 id="Source64">type <span>Source64</span>  <span title="Added in Go 1.8">1.8</span> </h2> <p>A Source64 is a <a href="#Source">Source</a> that can also generate uniformly-distributed pseudo-random uint64 values in the range [0, 1&lt;&lt;64) directly. If a <a href="#Rand">Rand</a> r's underlying <a href="#Source">Source</a> s implements Source64, then r.Uint64 returns the result of one call to s.Uint64 instead of making two calls to s.Int63. </p>
+<pre data-language="go">type Source64 interface {
+    Source
+    Uint64() uint64
+}</pre> <h2 id="Zipf">type <span>Zipf</span>  </h2> <p>A Zipf generates Zipf distributed variates. </p>
+<pre data-language="go">type Zipf struct {
+    // contains filtered or unexported fields
+}
+</pre> <h3 id="NewZipf">func <span>NewZipf</span>  </h3> <pre data-language="go">func NewZipf(r *Rand, s float64, v float64, imax uint64) *Zipf</pre> <p>NewZipf returns a <a href="#Zipf">Zipf</a> variate generator. The generator generates values k ∈ [0, imax] such that P(k) is proportional to (v + k) ** (-s). Requirements: s &gt; 1 and v &gt;= 1. </p>
+<h3 id="Zipf.Uint64">func (*Zipf) <span>Uint64</span>  </h3> <pre data-language="go">func (z *Zipf) Uint64() uint64</pre> <p>Uint64 returns a value drawn from the <a href="#Zipf">Zipf</a> distribution described by the <a href="#Zipf">Zipf</a> object. </p>
+<h2 id="pkg-subdirectories">Subdirectories</h2> <div class="pkg-dir"> <table> <tr> <th class="pkg-name">Name</th> <th class="pkg-synopsis">Synopsis</th> </tr> <tr> <td colspan="2"><a href="../index">..</a></td> </tr> <tr> <td class="pkg-name"> <a href="v2/index">v2</a> </td> <td class="pkg-synopsis"> Package rand implements pseudo-random number generators suitable for tasks such as simulation, but it should not be used for security-sensitive work. </td> </tr> </table> </div><div class="_attribution">
+  <p class="_attribution-p">
+    &copy; Google, Inc.<br>Licensed under the Creative Commons Attribution License 3.0.<br>
+    <a href="http://golang.org/pkg/math/rand/" class="_attribution-link">http://golang.org/pkg/math/rand/</a>
+  </p>
+</div>