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<h4 class="subsubsection" id="Obtaining-random-number-generator-procedures"><span>7.5.19.3 Obtaining random number generator procedures<a class="copiable-link" href="#Obtaining-random-number-generator-procedures"> &para;</a></span></h4>
<a class="index-entry-id" id="index-SRFI_002d27-3"></a>
<dl class="first-deffn first-defun-alias-first-deffn">
<dt class="deffn defun-alias-deffn" id="index-random_002dsource_002dmake_002dintegers"><span class="category-def">Function: </span><span><strong class="def-name">random-source-make-integers</strong> <var class="def-var-arguments">source</var><a class="copiable-link" href="#index-random_002dsource_002dmake_002dintegers"> &para;</a></span></dt>
<dd><p>Obtains a procedure to generate random integers using the random source
<var class="var">source</var>. The returned procedure takes a single argument <var class="var">n</var>,
which must be a positive integer, and returns the next uniformly
distributed random integer from the interval {0, ..., <var class="var">n</var>-1} by
advancing the state of <var class="var">source</var>.
</p>
<p>If an application obtains and uses several generators for the same
random source <var class="var">source</var>, a call to any of these generators advances
the state of <var class="var">source</var>. Hence, the generators do not produce the
same sequence of random integers each but rather share a state. This
also holds for all other types of generators derived from a fixed random
sources.
</p>
<p>While the SRFI text specifies that &ldquo;Implementations that support
concurrency make sure that the state of a generator is properly
advanced&rdquo;, this is currently not the case in Guile&rsquo;s implementation of
SRFI-27, as it would cause a severe performance penalty. So in
multi-threaded programs, you either must perform locking on random
sources shared between threads yourself, or use different random sources
for multiple threads.
</p></dd></dl>
<dl class="first-deffn first-defun-alias-first-deffn">
<dt class="deffn defun-alias-deffn" id="index-random_002dsource_002dmake_002dreals"><span class="category-def">Function: </span><span><strong class="def-name">random-source-make-reals</strong> <var class="def-var-arguments">source</var><a class="copiable-link" href="#index-random_002dsource_002dmake_002dreals"> &para;</a></span></dt>
<dt class="deffnx defunx-alias-deffnx def-cmd-deffn" id="index-random_002dsource_002dmake_002dreals-1"><span class="category-def">Function: </span><span><strong class="def-name">random-source-make-reals</strong> <var class="def-var-arguments">source unit</var><a class="copiable-link" href="#index-random_002dsource_002dmake_002dreals-1"> &para;</a></span></dt>
<dd><p>Obtains a procedure to generate random real numbers <em class="math">0 &lt; x &lt; 1</em>
using the random source <var class="var">source</var>. The procedure rand is called
without arguments.
</p>
<p>The optional parameter <var class="var">unit</var> determines the type of numbers being
produced by the returned procedure and the quantization of the output.
<var class="var">unit</var> must be a number such that <em class="math">0 &lt; <var class="var">unit</var> &lt; 1</em>. The
numbers created by the returned procedure are of the same numerical type
as <var class="var">unit</var> and the potential output values are spaced by at most
<var class="var">unit</var>. One can imagine rand to create numbers as <var class="var">x</var> *
<var class="var">unit</var> where <var class="var">x</var> is a random integer in {1, ...,
floor(1/unit)-1}. Note, however, that this need not be the way the
values are actually created and that the actual resolution of rand can
be much higher than unit. In case <var class="var">unit</var> is absent it defaults to a
reasonably small value (related to the width of the mantissa of an
efficient number format).
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