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<h4 class="subsection" id="Merging-Generics-1"><span>8.6.3 Merging Generics<a class="copiable-link" href="#Merging-Generics-1"> &para;</a></span></h4>
<p>GOOPS generic functions and accessors often have short, generic names.
For example, if a vector package provides an accessor for the X
coordinate of a vector, that accessor may just be called <code class="code">x</code>. It
doesn&rsquo;t need to be called, for example, <code class="code">vector:x</code>, because
GOOPS will work out, when it sees code like <code class="code">(x <var class="var">obj</var>)</code>, that
the vector-specific method of <code class="code">x</code> should be called if <var class="var">obj</var> is
a vector.
</p>
<p>That raises the question, though, of what happens when different
packages define a generic function with the same name. Suppose we work
with a graphical package which needs to use two independent vector
packages for 2D and 3D vectors respectively. If both packages export
<code class="code">x</code>, what does the code using those packages end up with?
</p>
<p><a class="ref" href="Creating-Guile-Modules.html">duplicate binding handlers</a> explains how
this is resolved for conflicting bindings in general. For generics,
there is a special duplicates handler, <code class="code">merge-generics</code>, which
tells the module system to merge generic functions with the same name.
Here is an example:
</p>
<div class="example lisp">
<pre class="lisp-preformatted">(define-module (math 2D-vectors)
#:use-module (oop goops)
#:export (x y ...))
(define-module (math 3D-vectors)
#:use-module (oop goops)
#:export (x y z ...))
(define-module (my-module)
#:use-module (oop goops)
#:use-module (math 2D-vectors)
#:use-module (math 3D-vectors)
#:duplicates (merge-generics))
</pre></div>
<p>The generic function <code class="code">x</code> in <code class="code">(my-module)</code> will now incorporate
all of the methods of <code class="code">x</code> from both imported modules.
</p>
<p>To be precise, there will now be three distinct generic functions named
<code class="code">x</code>: <code class="code">x</code> in <code class="code">(math 2D-vectors)</code>, <code class="code">x</code> in <code class="code">(math
3D-vectors)</code>, and <code class="code">x</code> in <code class="code">(my-module)</code>; and these functions
share their methods in an interesting and dynamic way.
</p>
<p>To explain, let&rsquo;s call the imported generic functions (in <code class="code">(math
2D-vectors)</code> and <code class="code">(math 3D-vectors)</code>) the <em class="dfn">ancestors</em>, and the
merged generic function (in <code class="code">(my-module)</code>), the <em class="dfn">descendant</em>.
The general rule is that for any generic function G, the applicable
methods are selected from the union of the methods of G&rsquo;s descendant
functions, the methods of G itself and the methods of G&rsquo;s ancestor
functions.
</p>
<p>Thus ancestor functions effectively share methods with their
descendants, and vice versa. In the example above, <code class="code">x</code> in
<code class="code">(math 2D-vectors)</code> will share the methods of <code class="code">x</code> in
<code class="code">(my-module)</code> and vice versa.<a class="footnote" id="DOCF32" href="#FOOT32"><sup>32</sup></a> Sharing is
dynamic, so adding another new method to a descendant implies adding it
to that descendant&rsquo;s ancestors too.
</p>
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<div class="footnotes-segment">
<hr>
<h4 class="footnotes-heading">Footnotes</h4>
<h5 class="footnote-body-heading"><a id="FOOT32" href="#DOCF32">(32)</a></h5>
<p>But note that <code class="code">x</code> in
<code class="code">(math 2D-vectors)</code> doesn&rsquo;t share methods with <code class="code">x</code> in
<code class="code">(math 3D-vectors)</code>, so modularity is still preserved.</p>
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