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+<title>Testing the numpy.i Typemaps</title>
+<meta name="author" content="Bill Spotz" />
+<meta name="date" content="6 April, 2007" />
+<style type="text/css">
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+:Author: David Goodger
+:Contact: goodger@users.sourceforge.net
+:Date: $Date: 2005-12-18 01:56:14 +0100 (Sun, 18 Dec 2005) $
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+<body>
+<div class="document" id="testing-the-numpy-i-typemaps">
+<h1 class="title">Testing the numpy.i Typemaps</h1>
+<table class="docinfo" frame="void" rules="none">
+<col class="docinfo-name" />
+<col class="docinfo-content" />
+<tbody valign="top">
+<tr><th class="docinfo-name">Author:</th>
+<td>Bill Spotz</td></tr>
+<tr class="field"><th class="docinfo-name">Institution:</th><td class="field-body">Sandia National Laboratories</td>
+</tr>
+<tr><th class="docinfo-name">Date:</th>
+<td>6 April, 2007</td></tr>
+</tbody>
+</table>
+<div class="contents topic">
+<p class="topic-title first"><a id="contents" name="contents">Contents</a></p>
+<ul class="simple">
+<li><a class="reference" href="#introduction" id="id1" name="id1">Introduction</a></li>
+<li><a class="reference" href="#testing-organization" id="id2" name="id2">Testing Organization</a></li>
+<li><a class="reference" href="#testing-header-files" id="id3" name="id3">Testing Header Files</a></li>
+<li><a class="reference" href="#testing-source-files" id="id4" name="id4">Testing Source Files</a></li>
+<li><a class="reference" href="#testing-swig-interface-files" id="id5" name="id5">Testing SWIG Interface Files</a></li>
+<li><a class="reference" href="#testing-python-scripts" id="id6" name="id6">Testing Python Scripts</a></li>
+</ul>
+</div>
+<div class="section">
+<h1><a class="toc-backref" href="#id1" id="introduction" name="introduction">Introduction</a></h1>
+<p>Writing tests for the <tt class="docutils literal"><span class="pre">numpy.i</span></tt> <a class="reference" href="http://www.swig.org">SWIG</a>
+interface file is a combinatorial headache. At present, 12 different
+data types are supported, each with 23 different argument signatures,
+for a total of 276 typemaps supported &quot;out of the box&quot;. Each of these
+typemaps, in turn, might require several unit tests in order to verify
+expected behavior for both proper and improper inputs. Currently,
+this results in 1,020 individual unit tests that are performed when
+<tt class="docutils literal"><span class="pre">make</span> <span class="pre">test</span></tt> is run in the <tt class="docutils literal"><span class="pre">numpy/docs/swig</span></tt> subdirectory.</p>
+<p>To facilitate this many similar unit tests, some high-level
+programming techniques are employed, including C and <a class="reference" href="http://www.swig.org">SWIG</a> macros,
+as well as <a class="reference" href="http://www.python.org">python</a> inheritance. The
+purpose of this document is to describe the testing infrastructure
+employed to verify that the <tt class="docutils literal"><span class="pre">numpy.i</span></tt> typemaps are working as
+expected.</p>
+</div>
+<div class="section">
+<h1><a class="toc-backref" href="#id2" id="testing-organization" name="testing-organization">Testing Organization</a></h1>
+<p>There are three indepedent testing frameworks supported, for one-,
+two-, and three-dimensional arrays respectively. For one-dimensional
+arrays, there are two C++ files, a header and a source, named:</p>
+<pre class="literal-block">
+Vector.h
+Vector.cxx
+</pre>
+<p>that contain prototypes and code for a variety of functions that have
+one-dimensional arrays as function arguments. The file:</p>
+<pre class="literal-block">
+Vector.i
+</pre>
+<p>is a <a class="reference" href="http://www.swig.org">SWIG</a> interface file that defines a python module <tt class="docutils literal"><span class="pre">Vector</span></tt>
+that wraps the functions in <tt class="docutils literal"><span class="pre">Vector.h</span></tt> while utilizing the typemaps
+in <tt class="docutils literal"><span class="pre">numpy.i</span></tt> to correctly handle the C arrays.</p>
+<p>The <tt class="docutils literal"><span class="pre">Makefile</span></tt> calls <tt class="docutils literal"><span class="pre">swig</span></tt> to generate <tt class="docutils literal"><span class="pre">Vector.py</span></tt> and
+<tt class="docutils literal"><span class="pre">Vector_wrap.cxx</span></tt>, and also executes the <tt class="docutils literal"><span class="pre">setup.py</span></tt> script that
+compiles <tt class="docutils literal"><span class="pre">Vector_wrap.cxx</span></tt> and links together the extension module
+<tt class="docutils literal"><span class="pre">_Vector.so</span></tt> or <tt class="docutils literal"><span class="pre">_Vector.dylib</span></tt>, depending on the platform. This
+extension module and the proxy file <tt class="docutils literal"><span class="pre">Vector.py</span></tt> are both placed in a
+subdirectory under the <tt class="docutils literal"><span class="pre">build</span></tt> directory.</p>
+<p>The actual testing takes place with a <a class="reference" href="http://www.python.org">python</a> script named:</p>
+<pre class="literal-block">
+testVector.py
+</pre>
+<p>that uses the standard <a class="reference" href="http://www.python.org">python</a> library module <tt class="docutils literal"><span class="pre">unittest</span></tt>, which
+performs several tests of each function defined in <tt class="docutils literal"><span class="pre">Vector.h</span></tt> for
+each data type supported.</p>
+<p>Two-dimensional arrays are tested in exactly the same manner. The
+above description applies, but with <tt class="docutils literal"><span class="pre">Matrix</span></tt> substituted for
+<tt class="docutils literal"><span class="pre">Vector</span></tt>. For three-dimensional tests, substitute <tt class="docutils literal"><span class="pre">Tensor</span></tt> for
+<tt class="docutils literal"><span class="pre">Vector</span></tt>. For the descriptions that follow, we will reference the
+<tt class="docutils literal"><span class="pre">Vector</span></tt> tests, but the same information applies to <tt class="docutils literal"><span class="pre">Matrix</span></tt> and
+<tt class="docutils literal"><span class="pre">Tensor</span></tt> tests.</p>
+<p>The command <tt class="docutils literal"><span class="pre">make</span> <span class="pre">test</span></tt> will ensure that all of the test software is
+built and then run all three test scripts.</p>
+</div>
+<div class="section">
+<h1><a class="toc-backref" href="#id3" id="testing-header-files" name="testing-header-files">Testing Header Files</a></h1>
+<p><tt class="docutils literal"><span class="pre">Vector.h</span></tt> is a C++ header file that defines a C macro called
+<tt class="docutils literal"><span class="pre">TEST_FUNC_PROTOS</span></tt> that takes two arguments: <tt class="docutils literal"><span class="pre">TYPE</span></tt>, which is a
+data type name such as <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">int</span></tt>; and <tt class="docutils literal"><span class="pre">SNAME</span></tt>, which is a
+short name for the same data type with no spaces, e.g. <tt class="docutils literal"><span class="pre">uint</span></tt>. This
+macro defines several function prototypes that have the prefix
+<tt class="docutils literal"><span class="pre">SNAME</span></tt> and have at least one argument that is an array of type
+<tt class="docutils literal"><span class="pre">TYPE</span></tt>. Those functions that have return arguments return a
+<tt class="docutils literal"><span class="pre">TYPE</span></tt> value.</p>
+<p><tt class="docutils literal"><span class="pre">TEST_FUNC_PROTOS</span></tt> is then implemented for all of the data types
+supported by <tt class="docutils literal"><span class="pre">numpy.i</span></tt>:</p>
+<blockquote>
+<ul class="simple">
+<li><tt class="docutils literal"><span class="pre">signed</span> <span class="pre">char</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">char</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">short</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">short</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">int</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">int</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">long</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">long</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">long</span> <span class="pre">long</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">long</span> <span class="pre">long</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">float</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">double</span></tt></li>
+</ul>
+</blockquote>
+</div>
+<div class="section">
+<h1><a class="toc-backref" href="#id4" id="testing-source-files" name="testing-source-files">Testing Source Files</a></h1>
+<p><tt class="docutils literal"><span class="pre">Vector.cxx</span></tt> is a C++ source file that implements compilable code
+for each of the function prototypes specified in <tt class="docutils literal"><span class="pre">Vector.h</span></tt>. It
+defines a C macro <tt class="docutils literal"><span class="pre">TEST_FUNCS</span></tt> that has the same arguments and works
+in the same way as <tt class="docutils literal"><span class="pre">TEST_FUNC_PROTOS</span></tt> does in <tt class="docutils literal"><span class="pre">Vector.h</span></tt>.
+<tt class="docutils literal"><span class="pre">TEST_FUNCS</span></tt> is implemented for each of the 12 data types as above.</p>
+</div>
+<div class="section">
+<h1><a class="toc-backref" href="#id5" id="testing-swig-interface-files" name="testing-swig-interface-files">Testing SWIG Interface Files</a></h1>
+<p><tt class="docutils literal"><span class="pre">Vector.i</span></tt> is a <a class="reference" href="http://www.swig.org">SWIG</a> interface file that defines python module
+<tt class="docutils literal"><span class="pre">Vector</span></tt>. It follows the conventions for using <tt class="docutils literal"><span class="pre">numpy.i</span></tt> as
+described in the <a class="reference" href="numpy_swig.html">numpy.i documentation</a>. It
+defines a <a class="reference" href="http://www.swig.org">SWIG</a> macro <tt class="docutils literal"><span class="pre">%apply_numpy_typemaps</span></tt> that has a single
+argument <tt class="docutils literal"><span class="pre">TYPE</span></tt>. It uses the <a class="reference" href="http://www.swig.org">SWIG</a> directive <tt class="docutils literal"><span class="pre">%apply</span></tt> as
+described in the <a class="reference" href="numpy_swig.html">numpy.i documentation</a> to apply the provided
+typemaps to the argument signatures found in <tt class="docutils literal"><span class="pre">Vector.h</span></tt>. This macro
+is then implemented for all of the data types supported by
+<tt class="docutils literal"><span class="pre">numpy.i</span></tt>. It then does a <tt class="docutils literal"><span class="pre">%include</span> <span class="pre">&quot;Vector.h&quot;</span></tt> to wrap all of
+the function prototypes in <tt class="docutils literal"><span class="pre">Vector.h</span></tt> using the typemaps in
+<tt class="docutils literal"><span class="pre">numpy.i</span></tt>.</p>
+</div>
+<div class="section">
+<h1><a class="toc-backref" href="#id6" id="testing-python-scripts" name="testing-python-scripts">Testing Python Scripts</a></h1>
+<p>After <tt class="docutils literal"><span class="pre">make</span></tt> is used to build the testing extension modules,
+<tt class="docutils literal"><span class="pre">testVector.py</span></tt> can be run to execute the tests. As with other
+scripts that use <tt class="docutils literal"><span class="pre">unittest</span></tt> to facilitate unit testing,
+<tt class="docutils literal"><span class="pre">testVector.py</span></tt> defines a class that inherits from
+<tt class="docutils literal"><span class="pre">unittest.TestCase</span></tt>:</p>
+<pre class="literal-block">
+class VectorTestCase(unittest.TestCase):
+</pre>
+<p>However, this class is not run directly. Rather, it serves as a base
+class to several other python classes, each one specific to a
+particular data type. The <tt class="docutils literal"><span class="pre">VectorTestCase</span></tt> class stores two strings
+for typing information:</p>
+<blockquote>
+<dl class="docutils">
+<dt><strong>self.typeStr</strong></dt>
+<dd>A string that matches one of the <tt class="docutils literal"><span class="pre">SNAME</span></tt> prefixes used in
+<tt class="docutils literal"><span class="pre">Vector.h</span></tt> and <tt class="docutils literal"><span class="pre">Vector.cxx</span></tt>. For example, <tt class="docutils literal"><span class="pre">&quot;double&quot;</span></tt>.</dd>
+<dt><strong>self.typeCode</strong></dt>
+<dd>A short (typically single-character) string that represents a
+data type in numpy and corresponds to <tt class="docutils literal"><span class="pre">self.typeStr</span></tt>. For
+example, if <tt class="docutils literal"><span class="pre">self.typeStr</span></tt> is <tt class="docutils literal"><span class="pre">&quot;double&quot;</span></tt>, then
+<tt class="docutils literal"><span class="pre">self.typeCode</span></tt> should be <tt class="docutils literal"><span class="pre">&quot;d&quot;</span></tt>.</dd>
+</dl>
+</blockquote>
+<p>Each test defined by the <tt class="docutils literal"><span class="pre">VectorTestCase</span></tt> class extracts the python
+function it is trying to test by accessing the <tt class="docutils literal"><span class="pre">Vector</span></tt> module's
+dictionary:</p>
+<pre class="literal-block">
+length = Vector.__dict__[self.typeStr + &quot;Length&quot;]
+</pre>
+<p>In the case of double precision tests, this will return the python
+function <tt class="docutils literal"><span class="pre">Vector.doubleLength</span></tt>.</p>
+<p>We then define a new test case class for each supported data type with
+a short definition such as:</p>
+<pre class="literal-block">
+class doubleTestCase(VectorTestCase):
+ def __init__(self, methodName=&quot;runTest&quot;):
+ VectorTestCase.__init__(self, methodName)
+ self.typeStr = &quot;double&quot;
+ self.typeCode = &quot;d&quot;
+</pre>
+<p>Each of these 12 classes is collected into a <tt class="docutils literal"><span class="pre">unittest.TestSuite</span></tt>,
+which is then executed. Errors and failures are summed together and
+returned as the exit argument. Any non-zero result indicates that at
+least one test did not pass.</p>
+</div>
+</div>
+<div class="footer">
+<hr class="footer" />
+Generated on: 2007-04-06 21:21 UTC.
+Generated by <a class="reference" href="http://docutils.sourceforge.net/">Docutils</a> from <a class="reference" href="http://docutils.sourceforge.net/rst.html">reStructuredText</a> source.
+
+</div>
+</body>
+</html>