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<section id="numpy-random-pcg64dxsm-advance">
<h1>numpy.random.PCG64DXSM.advance<a class="headerlink" href="#numpy-random-pcg64dxsm-advance" title="Link to this heading">#</a></h1>
<p>method</p>
<dl class="py method">
<dt class="sig sig-object py" id="numpy.random.PCG64DXSM.advance">
<span class="sig-prename descclassname"><span class="pre">random.PCG64DXSM.</span></span><span class="sig-name descname"><span class="pre">advance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">delta</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#numpy.random.PCG64DXSM.advance" title="Link to this definition">#</a></dt>
<dd><p>Advance the underlying RNG as-if delta draws have occurred.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>delta</strong><span class="classifier">integer, positive</span></dt><dd><p>Number of draws to advance the RNG. Must be less than the
size state variable in the underlying RNG.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>self</strong><span class="classifier">PCG64</span></dt><dd><p>RNG advanced delta steps</p>
</dd>
</dl>
</dd>
</dl>
<p class="rubric">Notes</p>
<p>Advancing a RNG updates the underlying RNG state as-if a given
number of calls to the underlying RNG have been made. In general
there is not a one-to-one relationship between the number output
random values from a particular distribution and the number of
draws from the core RNG. This occurs for two reasons:</p>
<ul class="simple">
<li><p>The random values are simulated using a rejection-based method
and so, on average, more than one value from the underlying
RNG is required to generate an single draw.</p></li>
<li><p>The number of bits required to generate a simulated value
differs from the number of bits generated by the underlying
RNG. For example, two 16-bit integer values can be simulated
from a single draw of a 32-bit RNG.</p></li>
</ul>
<p>Advancing the RNG state resets any pre-computed random numbers.
This is required to ensure exact reproducibility.</p>
</dd></dl>
</section>
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