[Numpy-svn] r4513 - in trunk/numpy/doc/swig: . doc test

numpy-svn@scip... numpy-svn@scip...
Thu Nov 29 13:52:48 CST 2007


Author: wfspotz@sandia.gov
Date: 2007-11-29 13:52:29 -0600 (Thu, 29 Nov 2007)
New Revision: 4513

Added:
   trunk/numpy/doc/swig/test/Array.i
   trunk/numpy/doc/swig/test/Array1.cxx
   trunk/numpy/doc/swig/test/Array1.h
   trunk/numpy/doc/swig/test/Array2.cxx
   trunk/numpy/doc/swig/test/Array2.h
   trunk/numpy/doc/swig/test/testArray.py
Modified:
   trunk/numpy/doc/swig/doc/numpy_swig.html
   trunk/numpy/doc/swig/doc/numpy_swig.pdf
   trunk/numpy/doc/swig/doc/numpy_swig.txt
   trunk/numpy/doc/swig/doc/testing.pdf
   trunk/numpy/doc/swig/numpy.i
   trunk/numpy/doc/swig/test/Makefile
   trunk/numpy/doc/swig/test/setup.py
Log:
* Added a new typemap suite, ARGOUTVIEW, which takes a view of a data
  buffer and converts it to an output numpy array (1D, 2D and 3D, with
  before- and after- dimension specifications.)

* Added new tests for the ARGOUTVIEW typemaps in the test directory
  (Array1 and Array2 classes, both included in the Array python
  extension module, tested in testArray.py).

* Updated the documentation to reflect the latest changes.



Modified: trunk/numpy/doc/swig/doc/numpy_swig.html
===================================================================
--- trunk/numpy/doc/swig/doc/numpy_swig.html	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/doc/numpy_swig.html	2007-11-29 19:52:29 UTC (rev 4513)
@@ -5,7 +5,7 @@
 <meta name="generator" content="Docutils 0.4: http://docutils.sourceforge.net/" />
 <title>numpy.i: a SWIG Interface File for NumPy</title>
 <meta name="author" content="Bill Spotz" />
-<meta name="date" content="22 November, 2007" />
+<meta name="date" content="29 November, 2007" />
 <style type="text/css">
 
 /*
@@ -302,7 +302,7 @@
 <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>22 November, 2007</td></tr>
+<td>29 November, 2007</td></tr>
 </tbody>
 </table>
 <div class="contents topic">
@@ -314,28 +314,29 @@
 <li><a class="reference" href="#input-arrays" id="id4" name="id4">Input Arrays</a></li>
 <li><a class="reference" href="#in-place-arrays" id="id5" name="id5">In-Place Arrays</a></li>
 <li><a class="reference" href="#argout-arrays" id="id6" name="id6">Argout Arrays</a></li>
-<li><a class="reference" href="#output-arrays" id="id7" name="id7">Output Arrays</a></li>
-<li><a class="reference" href="#other-common-types-bool" id="id8" name="id8">Other Common Types: bool</a></li>
-<li><a class="reference" href="#other-common-types-complex" id="id9" name="id9">Other Common Types: complex</a></li>
+<li><a class="reference" href="#argoutview-arrays" id="id7" name="id7">Argoutview Arrays</a></li>
+<li><a class="reference" href="#output-arrays" id="id8" name="id8">Output Arrays</a></li>
+<li><a class="reference" href="#other-common-types-bool" id="id9" name="id9">Other Common Types: bool</a></li>
+<li><a class="reference" href="#other-common-types-complex" id="id10" name="id10">Other Common Types: complex</a></li>
 </ul>
 </li>
-<li><a class="reference" href="#numpy-array-scalars-and-swig" id="id10" name="id10">NumPy Array Scalars and SWIG</a><ul>
-<li><a class="reference" href="#why-is-there-a-second-file" id="id11" name="id11">Why is There a Second File?</a></li>
+<li><a class="reference" href="#numpy-array-scalars-and-swig" id="id11" name="id11">NumPy Array Scalars and SWIG</a><ul>
+<li><a class="reference" href="#why-is-there-a-second-file" id="id12" name="id12">Why is There a Second File?</a></li>
 </ul>
 </li>
-<li><a class="reference" href="#helper-functions" id="id12" name="id12">Helper Functions</a><ul>
-<li><a class="reference" href="#macros" id="id13" name="id13">Macros</a></li>
-<li><a class="reference" href="#routines" id="id14" name="id14">Routines</a></li>
+<li><a class="reference" href="#helper-functions" id="id13" name="id13">Helper Functions</a><ul>
+<li><a class="reference" href="#macros" id="id14" name="id14">Macros</a></li>
+<li><a class="reference" href="#routines" id="id15" name="id15">Routines</a></li>
 </ul>
 </li>
-<li><a class="reference" href="#beyond-the-provided-typemaps" id="id15" name="id15">Beyond the Provided Typemaps</a><ul>
-<li><a class="reference" href="#a-common-example" id="id16" name="id16">A Common Example</a></li>
-<li><a class="reference" href="#other-situations" id="id17" name="id17">Other Situations</a></li>
-<li><a class="reference" href="#a-final-note" id="id18" name="id18">A Final Note</a></li>
+<li><a class="reference" href="#beyond-the-provided-typemaps" id="id16" name="id16">Beyond the Provided Typemaps</a><ul>
+<li><a class="reference" href="#a-common-example" id="id17" name="id17">A Common Example</a></li>
+<li><a class="reference" href="#other-situations" id="id18" name="id18">Other Situations</a></li>
+<li><a class="reference" href="#a-final-note" id="id19" name="id19">A Final Note</a></li>
 </ul>
 </li>
-<li><a class="reference" href="#summary" id="id19" name="id19">Summary</a></li>
-<li><a class="reference" href="#acknowledgements" id="id20" name="id20">Acknowledgements</a></li>
+<li><a class="reference" href="#summary" id="id20" name="id20">Summary</a></li>
+<li><a class="reference" href="#acknowledgements" id="id21" name="id21">Acknowledgements</a></li>
 </ul>
 </div>
 <div class="section">
@@ -636,7 +637,37 @@
 <a class="reference" href="http://www.python.org">python</a> function will take a single argument representing <tt class="docutils literal"><span class="pre">DIM1</span></tt>.</p>
 </div>
 <div class="section">
-<h2><a class="toc-backref" href="#id7" id="output-arrays" name="output-arrays">Output Arrays</a></h2>
+<h2><a class="toc-backref" href="#id7" id="argoutview-arrays" name="argoutview-arrays">Argoutview Arrays</a></h2>
+<p>Argoutview arrays are for when your C code provides you with a view of
+its internal data and does not require any memory to be allocated by
+the user.  This can be dangerous.  There is almost no way to guarantee
+that the internal data from the C code will remain in existence for
+the entire lifetime of the <a class="reference" href="http://numpy.scipy.org">NumPy</a> array that encapsulates it.  If
+the user destroys the object that provides the view of the data before
+destroying the <a class="reference" href="http://numpy.scipy.org">NumPy</a> array, then using that array my result in bad
+memory references or segmentation faults.  Nevertheless, there are
+situations, working with large data sets, where you simply have no
+other choice.</p>
+<p>The C code to be wrapped for argoutview arrays are characterized by
+pointers: pointers to the dimensions and double pointers to the data,
+so that these values can be passed back to the user.  The argoutview
+typemap signatures are therefore</p>
+<blockquote>
+<ul class="simple">
+<li><tt class="docutils literal"><span class="pre">(</span> <span class="pre">DATA_TYPE**</span> <span class="pre">ARGOUTVIEW_ARRAY1,</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM1</span> <span class="pre">)</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">(</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM1,</span> <span class="pre">DATA_TYPE**</span> <span class="pre">ARGOUTVIEW_ARRAY1</span> <span class="pre">)</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">(</span> <span class="pre">DATA_TYPE**</span> <span class="pre">ARGOUTVIEW_ARRAY2,</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM1,</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM2</span> <span class="pre">)</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">(</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM1,</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM2,</span> <span class="pre">DATA_TYPE**</span> <span class="pre">ARGOUTVIEW_ARRAY2</span> <span class="pre">)</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">(</span> <span class="pre">DATA_TYPE**</span> <span class="pre">ARGOUTVIEW_ARRAY3,</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM1,</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM2,</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM3)</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">(</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM1,</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM2,</span> <span class="pre">DIM_TYPE*</span> <span class="pre">DIM3,</span> <span class="pre">DATA_TYPE**</span> <span class="pre">ARGOUTVIEW_ARRAY3)</span></tt></li>
+</ul>
+</blockquote>
+<p>Note that arrays with hard-coded dimensions are not supported.  Thes
+have to be allocated ahead of time, which defeats the purpose of the
+typemap.</p>
+</div>
+<div class="section">
+<h2><a class="toc-backref" href="#id8" id="output-arrays" name="output-arrays">Output Arrays</a></h2>
 <p>The <tt class="docutils literal"><span class="pre">numpy.i</span></tt> interface file does not support typemaps for output
 arrays, for several reasons.  First, C/C++ return arguments are
 limited to a single value.  This prevents obtaining dimension
@@ -656,7 +687,7 @@
 methods or <tt class="docutils literal"><span class="pre">%ignore</span></tt> and <tt class="docutils literal"><span class="pre">%rename</span></tt> for the case of functions.</p>
 </div>
 <div class="section">
-<h2><a class="toc-backref" href="#id8" id="other-common-types-bool" name="other-common-types-bool">Other Common Types: bool</a></h2>
+<h2><a class="toc-backref" href="#id9" id="other-common-types-bool" name="other-common-types-bool">Other Common Types: bool</a></h2>
 <p>Note that C++ type <tt class="docutils literal"><span class="pre">bool</span></tt> is not supported in the list in the
 <a class="reference" href="#available-typemaps">Available Typemaps</a> section.  NumPy bools are a single byte, while
 the C++ <tt class="docutils literal"><span class="pre">bool</span></tt> is four bytes (at least on my system).  Therefore:</p>
@@ -673,7 +704,7 @@
 but <a class="reference" href="#in-place-arrays">In-Place Arrays</a> might fail type-checking.</p>
 </div>
 <div class="section">
-<h2><a class="toc-backref" href="#id9" id="other-common-types-complex" name="other-common-types-complex">Other Common Types: complex</a></h2>
+<h2><a class="toc-backref" href="#id10" id="other-common-types-complex" name="other-common-types-complex">Other Common Types: complex</a></h2>
 <p>Typemap conversions for complex floating-point types is also not
 supported automatically.  This is because <a class="reference" href="http://www.python.org">python</a> and <a class="reference" href="http://numpy.scipy.org">NumPy</a> are
 written in C, which does not have native complex types.  Both
@@ -707,7 +738,7 @@
 </div>
 </div>
 <div class="section">
-<h1><a class="toc-backref" href="#id10" id="numpy-array-scalars-and-swig" name="numpy-array-scalars-and-swig">NumPy Array Scalars and SWIG</a></h1>
+<h1><a class="toc-backref" href="#id11" id="numpy-array-scalars-and-swig" name="numpy-array-scalars-and-swig">NumPy Array Scalars and SWIG</a></h1>
 <p><a class="reference" href="http://www.swig.org">SWIG</a> has sophisticated type checking for numerical types.  For
 example, if your C/C++ routine expects an integer as input, the code
 generated by <a class="reference" href="http://www.swig.org">SWIG</a> will check for both <a class="reference" href="http://www.python.org">python</a> integers and
@@ -720,7 +751,7 @@
 array scalar as an integer.  (Often, this does in fact work -- it
 depends on whether <a class="reference" href="http://numpy.scipy.org">NumPy</a> recognizes the integer type you are using
 as inheriting from the <a class="reference" href="http://www.python.org">python</a> integer type on the platform you are
-using.  Often, this means that code that works on a 32-bit machine
+using.  Sometimes, this means that code that works on a 32-bit machine
 will fail on a 64-bit machine.)</p>
 <p>If you get a <a class="reference" href="http://www.python.org">python</a> error that looks like the following:</p>
 <pre class="literal-block">
@@ -730,7 +761,7 @@
 <a class="reference" href="http://numpy.scipy.org">NumPy</a> array, then you have stumbled upon this problem.  The
 solution is to modify the <a class="reference" href="http://www.swig.org">SWIG</a> type conversion system to accept
 <a class="reference" href="http://numpy.scipy.org">Numpy</a> array scalars in addition to the standard integer types.
-Fortunately, this capabilitiy has been provided to you.  Simply copy
+Fortunately, this capabilitiy has been provided for you.  Simply copy
 the file:</p>
 <pre class="literal-block">
 pyfragments.swg
@@ -739,7 +770,7 @@
 be fixed.  It is suggested that you do this anyway, as it only
 increases the capabilities of your <a class="reference" href="http://www.python.org">python</a> interface.</p>
 <div class="section">
-<h2><a class="toc-backref" href="#id11" id="why-is-there-a-second-file" name="why-is-there-a-second-file">Why is There a Second File?</a></h2>
+<h2><a class="toc-backref" href="#id12" id="why-is-there-a-second-file" name="why-is-there-a-second-file">Why is There a Second File?</a></h2>
 <p>The <a class="reference" href="http://www.swig.org">SWIG</a> type checking and conversion system is a complicated
 combination of C macros, <a class="reference" href="http://www.swig.org">SWIG</a> macros, <a class="reference" href="http://www.swig.org">SWIG</a> typemaps and <a class="reference" href="http://www.swig.org">SWIG</a>
 fragments.  Fragments are a way to conditionally insert code into your
@@ -760,12 +791,21 @@
 </div>
 </div>
 <div class="section">
-<h1><a class="toc-backref" href="#id12" id="helper-functions" name="helper-functions">Helper Functions</a></h1>
+<h1><a class="toc-backref" href="#id13" id="helper-functions" name="helper-functions">Helper Functions</a></h1>
 <p>The <tt class="docutils literal"><span class="pre">numpy.i</span></tt> file containes several macros and routines that it
 uses internally to build its typemaps.  However, these functions may
-be useful elsewhere in your interface file.</p>
+be useful elsewhere in your interface file.  These macros and routines
+are implemented as fragments, as described briefly in the previous
+section.  If you try to use one or more of the following macros or
+functions, but your compiler complains that it does not recognize the
+symbol, then you need to force these fragments to appear in your code
+using:</p>
+<pre class="literal-block">
+%fragment(&quot;NumPy_Fragments&quot;);
+</pre>
+<p>in your <a class="reference" href="http://www.swig.org">SWIG</a> interface file.</p>
 <div class="section">
-<h2><a class="toc-backref" href="#id13" id="macros" name="macros">Macros</a></h2>
+<h2><a class="toc-backref" href="#id14" id="macros" name="macros">Macros</a></h2>
 <blockquote>
 <dl class="docutils">
 <dt><strong>is_array(a)</strong></dt>
@@ -797,7 +837,7 @@
 </blockquote>
 </div>
 <div class="section">
-<h2><a class="toc-backref" href="#id14" id="routines" name="routines">Routines</a></h2>
+<h2><a class="toc-backref" href="#id15" id="routines" name="routines">Routines</a></h2>
 <blockquote>
 <p><strong>pytype_string()</strong></p>
 <blockquote>
@@ -957,11 +997,11 @@
 </div>
 </div>
 <div class="section">
-<h1><a class="toc-backref" href="#id15" id="beyond-the-provided-typemaps" name="beyond-the-provided-typemaps">Beyond the Provided Typemaps</a></h1>
+<h1><a class="toc-backref" href="#id16" id="beyond-the-provided-typemaps" name="beyond-the-provided-typemaps">Beyond the Provided Typemaps</a></h1>
 <p>There are many C or C++ array/<a class="reference" href="http://numpy.scipy.org">NumPy</a> array situations not covered by
 a simple <tt class="docutils literal"><span class="pre">%include</span> <span class="pre">&quot;numpy.i&quot;</span></tt> and subsequent <tt class="docutils literal"><span class="pre">%apply</span></tt> directives.</p>
 <div class="section">
-<h2><a class="toc-backref" href="#id16" id="a-common-example" name="a-common-example">A Common Example</a></h2>
+<h2><a class="toc-backref" href="#id17" id="a-common-example" name="a-common-example">A Common Example</a></h2>
 <p>Consider a reasonable prototype for a dot product function:</p>
 <pre class="literal-block">
 double dot(int len, double* vec1, double* vec2);
@@ -1017,7 +1057,7 @@
 macro to perform this task.</p>
 </div>
 <div class="section">
-<h2><a class="toc-backref" href="#id17" id="other-situations" name="other-situations">Other Situations</a></h2>
+<h2><a class="toc-backref" href="#id18" id="other-situations" name="other-situations">Other Situations</a></h2>
 <p>There are other wrapping situations in which <tt class="docutils literal"><span class="pre">numpy.i</span></tt> may be
 helpful when you encounter them.</p>
 <blockquote>
@@ -1054,7 +1094,7 @@
 </blockquote>
 </div>
 <div class="section">
-<h2><a class="toc-backref" href="#id18" id="a-final-note" name="a-final-note">A Final Note</a></h2>
+<h2><a class="toc-backref" href="#id19" id="a-final-note" name="a-final-note">A Final Note</a></h2>
 <p>When you use the <tt class="docutils literal"><span class="pre">%apply</span></tt> directive, as is usually necessary to use
 <tt class="docutils literal"><span class="pre">numpy.i</span></tt>, it will remain in effect until you tell <a class="reference" href="http://www.swig.org">SWIG</a> that it
 shouldn't be.  If the arguments to the functions or methods that you
@@ -1072,7 +1112,7 @@
 </div>
 </div>
 <div class="section">
-<h1><a class="toc-backref" href="#id19" id="summary" name="summary">Summary</a></h1>
+<h1><a class="toc-backref" href="#id20" id="summary" name="summary">Summary</a></h1>
 <p>Out of the box, <tt class="docutils literal"><span class="pre">numpy.i</span></tt> provides typemaps that support conversion
 between <a class="reference" href="http://numpy.scipy.org">NumPy</a> arrays and C arrays:</p>
 <blockquote>
@@ -1081,10 +1121,10 @@
 <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">char</span></tt>, <tt class="docutils literal"><span class="pre">short</span></tt>, <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">short</span></tt>, <tt class="docutils literal"><span class="pre">int</span></tt>,
 <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">int</span></tt>, <tt class="docutils literal"><span class="pre">long</span></tt>, <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">long</span></tt>, <tt class="docutils literal"><span class="pre">long</span> <span class="pre">long</span></tt>,
 <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">long</span> <span class="pre">long</span></tt>, <tt class="docutils literal"><span class="pre">float</span></tt> and <tt class="docutils literal"><span class="pre">double</span></tt>.</li>
-<li>That support 23 different argument signatures for each data type,
+<li>That support 29 different argument signatures for each data type,
 including:<ul>
 <li>One-dimensional, two-dimensional and three-dimensional arrays.</li>
-<li>Input-only, in-place, and argout behavior.</li>
+<li>Input-only, in-place, argout and argoutview behavior.</li>
 <li>Hard-coded dimensions, data-buffer-then-dimensions
 specification, and dimensions-then-data-buffer specification.</li>
 </ul>
@@ -1096,31 +1136,31 @@
 <blockquote>
 <ul class="simple">
 <li>A <a class="reference" href="http://www.swig.org">SWIG</a> macro (<tt class="docutils literal"><span class="pre">%numpy_typemaps</span></tt>) with three arguments for
-implementing the 23 argument signatures for the user's choice of
+implementing the 29 argument signatures for the user's choice of
 (1) C data type, (2) <a class="reference" href="http://numpy.scipy.org">NumPy</a> data type (assuming they match), and
 (3) dimension type.</li>
-<li>Seven C macros and eleven C functions that can be used to write
+<li>Eight C macros and twelve C functions that can be used to write
 specialized typemaps, extensions, or inlined functions that handle
 cases not covered by the provided typemaps.</li>
 </ul>
 </blockquote>
 </div>
 <div class="section">
-<h1><a class="toc-backref" href="#id20" id="acknowledgements" name="acknowledgements">Acknowledgements</a></h1>
+<h1><a class="toc-backref" href="#id21" id="acknowledgements" name="acknowledgements">Acknowledgements</a></h1>
 <p>Many people have worked to glue <a class="reference" href="http://www.swig.org">SWIG</a> and <a class="reference" href="http://numpy.scipy.org">NumPy</a> together (as well
 as <a class="reference" href="http://www.swig.org">SWIG</a> and the predecessors of <a class="reference" href="http://numpy.scipy.org">NumPy</a>, Numeric and numarray).
 The effort to standardize this work into <tt class="docutils literal"><span class="pre">numpy.i</span></tt> began at the 2005
 <a class="reference" href="http://scipy.org">SciPy</a> Conference with a conversation between
 Fernando Perez and myself.  Fernando collected helper functions and
 typemaps from Eric Jones, Michael Hunter, Anna Omelchenko and Michael
-Sanner.  Sebastian Hasse has also provided additional error checking
-and use cases.  The work of these contributors has made this end
-result possible.</p>
+Sanner.  Sebastian Hasse and Georg Holzmann have also provided
+additional error checking and use cases.  The work of these
+contributors has made this end result possible.</p>
 </div>
 </div>
 <div class="footer">
 <hr class="footer" />
-Generated on: 2007-11-22 18:34 UTC.
+Generated on: 2007-11-29 19:48 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>

Modified: trunk/numpy/doc/swig/doc/numpy_swig.pdf
===================================================================
--- trunk/numpy/doc/swig/doc/numpy_swig.pdf	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/doc/numpy_swig.pdf	2007-11-29 19:52:29 UTC (rev 4513)
@@ -42,279 +42,296 @@
 (Argout Arrays)
 endobj
 33 0 obj
-<< /S /GoTo /D (output-arrays.1) >>
+<< /S /GoTo /D (argoutview-arrays.1) >>
 endobj
 36 0 obj
-(Output Arrays)
+(Argoutview Arrays)
 endobj
 37 0 obj
-<< /S /GoTo /D (other-common-types-bool.1) >>
+<< /S /GoTo /D (output-arrays.1) >>
 endobj
 40 0 obj
-(Other Common Types: bool)
+(Output Arrays)
 endobj
 41 0 obj
-<< /S /GoTo /D (other-common-types-complex.1) >>
+<< /S /GoTo /D (other-common-types-bool.1) >>
 endobj
 44 0 obj
-(Other Common Types: complex)
+(Other Common Types: bool)
 endobj
 45 0 obj
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Modified: trunk/numpy/doc/swig/doc/numpy_swig.txt
===================================================================
--- trunk/numpy/doc/swig/doc/numpy_swig.txt	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/doc/numpy_swig.txt	2007-11-29 19:52:29 UTC (rev 4513)
@@ -4,7 +4,7 @@
 
 :Author:      Bill Spotz
 :Institution: Sandia National Laboratories
-:Date:        22 November, 2007
+:Date:        29 November, 2007
 
 .. contents::
 
@@ -314,6 +314,36 @@
 cannot be avoided.  Note that for these types of 1D typemaps, the
 `python`_ function will take a single argument representing ``DIM1``.
 
+Argoutview Arrays
+-----------------
+
+Argoutview arrays are for when your C code provides you with a view of
+its internal data and does not require any memory to be allocated by
+the user.  This can be dangerous.  There is almost no way to guarantee
+that the internal data from the C code will remain in existence for
+the entire lifetime of the `NumPy`_ array that encapsulates it.  If
+the user destroys the object that provides the view of the data before
+destroying the `NumPy`_ array, then using that array my result in bad
+memory references or segmentation faults.  Nevertheless, there are
+situations, working with large data sets, where you simply have no
+other choice.
+
+The C code to be wrapped for argoutview arrays are characterized by
+pointers: pointers to the dimensions and double pointers to the data,
+so that these values can be passed back to the user.  The argoutview
+typemap signatures are therefore
+
+  * ``( DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1 )``
+  * ``( DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1 )``
+  * ``( DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2 )``
+  * ``( DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2 )``
+  * ``( DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)``
+  * ``( DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)``
+
+Note that arrays with hard-coded dimensions are not supported.  Thes
+have to be allocated ahead of time, which defeats the purpose of the
+typemap.
+
 Output Arrays
 -------------
 
@@ -402,7 +432,7 @@
 array scalar as an integer.  (Often, this does in fact work -- it
 depends on whether `NumPy`_ recognizes the integer type you are using
 as inheriting from the `python`_ integer type on the platform you are
-using.  Often, this means that code that works on a 32-bit machine
+using.  Sometimes, this means that code that works on a 32-bit machine
 will fail on a 64-bit machine.)
 
 If you get a `python`_ error that looks like the following::
@@ -413,7 +443,7 @@
 `NumPy`_ array, then you have stumbled upon this problem.  The
 solution is to modify the `SWIG`_ type conversion system to accept
 `Numpy`_ array scalars in addition to the standard integer types.
-Fortunately, this capabilitiy has been provided to you.  Simply copy
+Fortunately, this capabilitiy has been provided for you.  Simply copy
 the file::
 
     pyfragments.swg
@@ -449,8 +479,17 @@
 
 The ``numpy.i`` file containes several macros and routines that it
 uses internally to build its typemaps.  However, these functions may
-be useful elsewhere in your interface file.
+be useful elsewhere in your interface file.  These macros and routines
+are implemented as fragments, as described briefly in the previous
+section.  If you try to use one or more of the following macros or
+functions, but your compiler complains that it does not recognize the
+symbol, then you need to force these fragments to appear in your code
+using::
 
+    %fragment("NumPy_Fragments");
+
+in your `SWIG`_ interface file.
+
 Macros
 ------
 
@@ -806,12 +845,12 @@
     ``unsigned int``, ``long``, ``unsigned long``, ``long long``,
     ``unsigned long long``, ``float`` and ``double``.
 
-  * That support 23 different argument signatures for each data type,
+  * That support 29 different argument signatures for each data type,
     including:
 
     + One-dimensional, two-dimensional and three-dimensional arrays.
 
-    + Input-only, in-place, and argout behavior.
+    + Input-only, in-place, argout and argoutview behavior.
 
     + Hard-coded dimensions, data-buffer-then-dimensions
       specification, and dimensions-then-data-buffer specification.
@@ -820,11 +859,11 @@
 wrapper developers, including:
 
   * A `SWIG`_ macro (``%numpy_typemaps``) with three arguments for
-    implementing the 23 argument signatures for the user's choice of
+    implementing the 29 argument signatures for the user's choice of
     (1) C data type, (2) `NumPy`_ data type (assuming they match), and
     (3) dimension type.
 
-  * Seven C macros and eleven C functions that can be used to write
+  * Eight C macros and twelve C functions that can be used to write
     specialized typemaps, extensions, or inlined functions that handle
     cases not covered by the provided typemaps.
 
@@ -837,6 +876,6 @@
 `SciPy <http://scipy.org>`_ Conference with a conversation between
 Fernando Perez and myself.  Fernando collected helper functions and
 typemaps from Eric Jones, Michael Hunter, Anna Omelchenko and Michael
-Sanner.  Sebastian Hasse has also provided additional error checking
-and use cases.  The work of these contributors has made this end
-result possible.
+Sanner.  Sebastian Hasse and Georg Holzmann have also provided
+additional error checking and use cases.  The work of these
+contributors has made this end result possible.

Modified: trunk/numpy/doc/swig/doc/testing.pdf
===================================================================
--- trunk/numpy/doc/swig/doc/testing.pdf	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/doc/testing.pdf	2007-11-29 19:52:29 UTC (rev 4513)
@@ -242,24 +242,23 @@
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Modified: trunk/numpy/doc/swig/numpy.i
===================================================================
--- trunk/numpy/doc/swig/numpy.i	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/numpy.i	2007-11-29 19:52:29 UTC (rev 4513)
@@ -9,14 +9,6 @@
 #include <numpy/arrayobject.h>
 %}
 
-/* The following code originally appeared in
- * enthought/kiva/agg/src/numeric.i written by Eric Jones.  It was
- * translated from C++ to C by John Hunter.  Bill Spotz has modified
- * it slightly to fix some minor bugs, upgrade from Numeric to numpy
- * (all versions), add some comments and functionality, and convert
- * from direct code insertion to SWIG fragments.
- */
-
 /**********************************************************************/
 
 %fragment("NumPy_Backward_Compatibility", "header")
@@ -73,6 +65,14 @@
 
 /**********************************************************************/
 
+/* The following code originally appeared in
+ * enthought/kiva/agg/src/numeric.i written by Eric Jones.  It was
+ * translated from C++ to C by John Hunter.  Bill Spotz has modified
+ * it to fix some minor bugs, upgrade from Numeric to numpy (all
+ * versions), add some comments and functionality, and convert from
+ * direct code insertion to SWIG fragments.
+ */
+
 %fragment("NumPy_Macros", "header")
 {
 /* Macros to extract array attributes.
@@ -406,7 +406,7 @@
 
 /* %numpy_typemaps() macro
  *
- * This macro defines a family of 23 typemaps that allow C arguments
+ * This macro defines a family of 29 typemaps that allow C arguments
  * of the form
  *
  *     (DATA_TYPE IN_ARRAY1[ANY])
@@ -441,95 +441,53 @@
  *
  *     (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
  *
+ *     (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
+ *     (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
+ *
+ *     (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ *     (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
+ *
+ *     (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+ *     (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
+ *
  * where "DATA_TYPE" is any type supported by the NumPy module, and
  * "DIM_TYPE" is any int-like type suitable for specifying dimensions.
  * In python, the dimensions will not need to be specified (except for
  * the "DATA_TYPE* ARGOUT_ARRAY1" typemaps).  The IN_ARRAYs can be a
  * numpy array or any sequence that can be converted to a numpy array
  * of the specified type.  The INPLACE_ARRAYs must be numpy arrays of
- * the appropriate type.  The ARGOUT_ARRAYs will be returned as numpy
- * arrays of the appropriate type.
+ * the appropriate type.  The ARGOUT_ARRAYs will be returned as new
+ * numpy arrays of the appropriate type.
  *
  * These typemaps can be applied to existing functions using the
- * %apply directive:
+ * %apply directive.  For example:
  *
- *     %apply (double IN_ARRAY1[ANY]) {(double vector[ANY])};
- *     double length(double vector[3]);
- *
  *     %apply (double* IN_ARRAY1, int DIM1) {(double* series, int length)};
  *     double prod(double* series, int length);
  *
- *     %apply (int DIM1, double* IN_ARRAY1) {(int length, double* series)}
- *     double sum(int length, double* series)
+ *     %apply (int DIM1, int DIM2, double* INPLACE_ARRAY2)
+ *           {(int rows, int cols, double* matrix        )};
+ *     void floor(int rows, int cols, double* matrix, double f);
  *
- *     %apply (double IN_ARRAY2[ANY][ANY]) {(double matrix[2][2])};
- *     double det(double matrix[2][2]);
+ *     %apply (double IN_ARRAY3[ANY][ANY][ANY])
+ *           {(double tensor[2][2][2]         )};
+ *     %apply (double ARGOUT_ARRAY3[ANY][ANY][ANY])
+ *           {(double low[2][2][2]                )};
+ *     %apply (double ARGOUT_ARRAY3[ANY][ANY][ANY])
+ *           {(double upp[2][2][2]                )};
+ *     void luSplit(double tensor[2][2][2],
+ *                  double low[2][2][2],
+ *                  double upp[2][2][2]    );
  *
- *     %apply (double* IN_ARRAY2, int DIM1, int DIM2) {(double* matrix, int rows, int cols)};
- *     double max(double* matrix, int rows, int cols);
- *
- *     %apply (int DIM1, int DIM2, double* IN_ARRAY2) {(int rows, int cols, double* matrix)}
- *     double min(int length, double* series)
- *
- *     %apply (double INPLACE_ARRAY1[ANY]) {(double vector[3])};
- *     void reverse(double vector[3]);
- *
- *     %apply (double* INPLACE_ARRAY1, int DIM1) {(double* series, int length)};
- *     void ones(double* series, int length);
- *
- *     %apply (int DIM1, double* INPLACE_ARRAY1) {(int length, double* series)}
- *     double zeros(int length, double* series)
- *
- *     %apply (double INPLACE_ARRAY2[ANY][ANY]) {(double matrix[3][3])};
- *     void scale(double matrix[3][3]);
- *
- *     %apply (double* INPLACE_ARRAY2, int DIM1, int DIM2) {(double* matrix, int rows, int cols)};
- *     void floor(double* matrix, int rows, int cols);
- *
- *     %apply (int DIM1, int DIM2, double* INPLACE_ARRAY2) {(int rows, int cols, double* matrix)};
- *     void ceil(int rows, int cols, double* matrix);
- *
- *     %apply (double IN_ARRAY1[ANY]    ) {(double vector[ANY])};
- *     %apply (double ARGOUT_ARRAY1[ANY]) {(double even[    3])};
- *     %apply (double ARGOUT_ARRAY1[ANY]) {(double odd[     3])};
- *     void eoSplit(double vector[3], double even[3], double odd[3]);
- *
- *     %apply (double* ARGOUT_ARRAY1, int DIM1) {(double* twoVec, int size)};
- *     void twos(double* twoVec, int size);
- *
- *     %apply (int DIM1, double* ARGOUT_ARRAY1) {(int size, double* threeVec)};
- *     void threes(int size, double* threeVec);
- *
- *     %apply (double IN_ARRAY2[ANY][ANY])     {(double matrix[2][2])};
- *     %apply (double ARGOUT_ARRAY2[ANY][ANY]) {(double upper[ 3][3])};
- *     %apply (double ARGOUT_ARRAY2[ANY][ANY]) {(double lower[ 3][3])};
- *     void luSplit(double matrix[3][3], double upper[3][3], double lower[3][3]);
- *
  * or directly with
  *
- *     double length(double IN_ARRAY1[ANY]);
  *     double prod(double* IN_ARRAY1, int DIM1);
- *     double sum( int DIM1, double* IN_ARRAY1)
  *
- *     double det(double IN_ARRAY2[ANY][ANY]);
- *     double max(double* IN_ARRAY2, int DIM1, int DIM2);
- *     double min(int DIM1, int DIM2, double* IN_ARRAY2)
+ *     void floor(int DIM1, int DIM2, double* INPLACE_ARRAY2, double f);
  *
- *     void reverse(double INPLACE_ARRAY1[ANY]);
- *     void ones( double* INPLACE_ARRAY1, int DIM1);
- *     void zeros(int DIM1, double* INPLACE_ARRAY1)
- *
- *     void scale(double INPLACE_ARRAY2[ANY][ANY]);
- *     void floor(double* INPLACE_ARRAY2, int DIM1, int DIM2, double floor);
- *     void ceil( int DIM1, int DIM2, double* INPLACE_ARRAY2, double ceil );
- *
- *     void eoSplit(double IN_ARRAY1[ANY], double ARGOUT_ARRAY1[ANY],
- *                  double ARGOUT_ARRAY1[ANY]);
- *     void twos(double* ARGOUT_ARRAY1, int DIM1)
- *     void threes(int DIM1, double* ARGOUT_ARRAY1)
- *
- *     void luSplit(double IN_ARRAY2[ANY][ANY], double ARGOUT_ARRAY2[ANY][ANY],
- *                  double ARGOUT_ARRAY2[ANY][ANY]);
+ *     void luSplit(double IN_ARRAY3[ANY][ANY][ANY],
+ *                  double ARGOUT_ARRAY3[ANY][ANY][ANY],
+ *                  double ARGOUT_ARRAY3[ANY][ANY][ANY]);
  */
 
 %define %numpy_typemaps(DATA_TYPE, DATA_TYPECODE, DIM_TYPE)
@@ -1107,9 +1065,141 @@
   $result = SWIG_Python_AppendOutput($result,array$argnum);
 }
 
+/*****************************/
+/* Argoutview Array Typemaps */
+/*****************************/
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
+ */
+%typemap(in,numinputs=0)
+  (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1    )
+  (DATA_TYPE*  data_temp        , DIM_TYPE  dim_temp)
+{
+  $1 = &data_temp;
+  $2 = &dim_temp;
+}
+%typemap(argout,
+	 fragment="NumPy_Backward_Compatibility")
+  (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
+  (PyObject* array = NULL)
+{
+  npy_intp dims[1] = { *$2 };
+  array = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$1));
+  if (!array) SWIG_fail;
+  $result = SWIG_Python_AppendOutput($result,array);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
+ */
+%typemap(in,numinputs=0)
+  (DIM_TYPE* DIM1    , DATA_TYPE** ARGOUTVIEW_ARRAY1)
+  (DIM_TYPE  dim_temp, DATA_TYPE*  data_temp        )
+{
+  $1 = &dim_temp;
+  $2 = &data_temp;
+}
+%typemap(argout,
+	 fragment="NumPy_Backward_Compatibility")
+  (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
+  (PyObject* array = NULL)
+{
+  npy_intp dims[1] = { *$1 };
+  array = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$2));
+  if (!array) SWIG_fail;
+  $result = SWIG_Python_AppendOutput($result,array);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ */
+%typemap(in,numinputs=0)
+  (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1     , DIM_TYPE* DIM2     )
+  (DATA_TYPE*  data_temp        , DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp)
+{
+  $1 = &data_temp;
+  $2 = &dim1_temp;
+  $3 = &dim2_temp;
+}
+%typemap(argout,
+	 fragment="NumPy_Backward_Compatibility")
+  (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+  (PyObject* array = NULL)
+{
+  npy_intp dims[2] = { *$2, *$3 };
+  array = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
+  if (!array) SWIG_fail;
+  $result = SWIG_Python_AppendOutput($result,array);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
+ */
+%typemap(in,numinputs=0)
+  (DIM_TYPE* DIM1     , DIM_TYPE* DIM2     , DATA_TYPE** ARGOUTVIEW_ARRAY2)
+  (DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp, DATA_TYPE*  data_temp        )
+{
+  $1 = &dim1_temp;
+  $2 = &dim2_temp;
+  $3 = &data_temp;
+}
+%typemap(argout,
+	 fragment="NumPy_Backward_Compatibility")
+  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
+  (PyObject* array = NULL)
+{
+  npy_intp dims[2] = { *$1, *$2 };
+  array = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
+  if (!array) SWIG_fail;
+  $result = SWIG_Python_AppendOutput($result,array);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+                      DIM_TYPE* DIM3)
+ */
+%typemap(in,numinputs=0)
+  (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+  (DATA_TYPE* data_temp, DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
+{
+  $1 = &data_temp;
+  $2 = &dim1_temp;
+  $3 = &dim2_temp;
+  $4 = &dim3_temp;
+}
+%typemap(argout,
+	 fragment="NumPy_Backward_Compatibility")
+  (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+  (PyObject* array = NULL)
+{
+  npy_intp dims[3] = { *$2, *$3, *$4 };
+  array = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
+  if (!array) SWIG_fail;
+  $result = SWIG_Python_AppendOutput($result,array);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
+                      DATA_TYPE** ARGOUTVIEW_ARRAY3)
+ */
+%typemap(in,numinputs=0)
+  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
+  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp)
+{
+  $1 = &dim1_temp;
+  $2 = &dim2_temp;
+  $3 = &dim3_temp;
+  $4 = &data_temp;
+}
+%typemap(argout,
+	 fragment="NumPy_Backward_Compatibility")
+  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
+  (PyObject* array = NULL)
+{
+  npy_intp dims[3] = { *$1, *$2, *$3 };
+  array = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$3));
+  if (!array) SWIG_fail;
+  $result = SWIG_Python_AppendOutput($result,array);
+}
+
 %enddef    /* %numpy_typemaps() macro */
+/* *************************************************************** */
 
-
 /* Concrete instances of the %numpy_typemaps() macro: Each invocation
  * below applies all of the typemaps above to the specified data type.
  */
@@ -1129,26 +1219,26 @@
 /* ***************************************************************
  * The follow macro expansion does not work, because C++ bool is 4
  * bytes and NPY_BOOL is 1 byte
+ *
+ *    %numpy_typemaps(bool, NPY_BOOL, int)
  */
-/*%numpy_typemaps(bool, NPY_BOOL, int)
- */
 
 /* ***************************************************************
  * On my Mac, I get the following warning for this macro expansion:
  * 'swig/python detected a memory leak of type 'long double *', no destructor found.'
+ *
+ *    %numpy_typemaps(long double, NPY_LONGDOUBLE, int)
  */
-/*%numpy_typemaps(long double, NPY_LONGDOUBLE, int)
- */
 
 /* ***************************************************************
- * Swig complains about a syntax error for the following macros
+ * Swig complains about a syntax error for the following macro
  * expansions:
+ *
+ *    %numpy_typemaps(complex float,  NPY_CFLOAT , int)
+ *
+ *    %numpy_typemaps(complex double, NPY_CDOUBLE, int)
+ *
+ *    %numpy_typemaps(complex long double, NPY_CLONGDOUBLE, int)
  */
-/*%numpy_typemaps(complex float,  NPY_CFLOAT , int)
- */
-/*%numpy_typemaps(complex double, NPY_CDOUBLE, int)
- */
-/*%numpy_typemaps(complex long double, NPY_CLONGDOUBLE)
- */
 
 #endif /* SWIGPYTHON */

Added: trunk/numpy/doc/swig/test/Array.i
===================================================================
--- trunk/numpy/doc/swig/test/Array.i	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/test/Array.i	2007-11-29 19:52:29 UTC (rev 4513)
@@ -0,0 +1,107 @@
+// -*- c++ -*-
+
+%module Array
+
+%{
+#define SWIG_FILE_WITH_INIT
+#include "Array1.h"
+#include "Array2.h"
+%}
+
+// Get the NumPy typemaps
+%include "../numpy.i"
+
+ // Get the STL typemaps
+%include "stl.i"
+
+// Handle standard exceptions
+%include "exception.i"
+%exception
+{
+  try
+  {
+    $action
+  }
+  catch (const std::invalid_argument& e)
+  {
+    SWIG_exception(SWIG_ValueError, e.what());
+  }
+  catch (const std::out_of_range& e)
+  {
+    SWIG_exception(SWIG_IndexError, e.what());
+  }
+}
+%init %{
+  import_array();
+%}
+
+// Global ignores
+%ignore *::operator=;
+%ignore *::operator[];
+
+// Apply the 1D NumPy typemaps
+%apply (int DIM1  , long* INPLACE_ARRAY1)
+      {(int length, long* data          )};
+%apply (long** ARGOUTVIEW_ARRAY1, int* DIM1  )
+      {(long** data             , int* length)};
+
+// Apply the 2D NumPy typemaps
+%apply (int DIM1 , int DIM2 , long* INPLACE_ARRAY2)
+      {(int nrows, int ncols, long* data          )};
+%apply (int* DIM1 , int* DIM2 , long** ARGOUTVIEW_ARRAY2)
+      {(int* nrows, int* ncols, long** data             )};
+// Note: the %apply for INPLACE_ARRAY2 above gets successfully applied
+// to the constructor Array2(int nrows, int ncols, long* data), but
+// does not get applied to the method Array2::resize(int nrows, int
+// ncols, long* data).  I have no idea why.  For this reason the test
+// for Apply2.resize(numpy.ndarray) in testArray.py is commented out.
+
+// Array1 support
+%include "Array1.h"
+%extend Array1
+{
+  void __setitem__(int i, long v)
+  {
+    self->operator[](i) = v;
+  }
+
+  long __getitem__(int i)
+  {
+    return self->operator[](i);
+  }
+
+  int __len__()
+  {
+    return self->length();
+  }
+
+  std::string __str__()
+  {
+    return self->asString();
+  }
+}
+
+// Array2 support
+%include "Array2.h"
+%extend Array2
+{
+  void __setitem__(int i, Array1 & v)
+  {
+    self->operator[](i) = v;
+  }
+
+  Array1 & __getitem__(int i)
+  {
+    return self->operator[](i);
+  }
+
+  int __len__()
+  {
+    return self->nrows() * self->ncols();
+  }
+
+  std::string __str__()
+  {
+    return self->asString();
+  }
+}

Added: trunk/numpy/doc/swig/test/Array1.cxx
===================================================================
--- trunk/numpy/doc/swig/test/Array1.cxx	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/test/Array1.cxx	2007-11-29 19:52:29 UTC (rev 4513)
@@ -0,0 +1,131 @@
+#include "Array1.h"
+#include <iostream>
+#include <sstream>
+
+// Default/length/array constructor
+Array1::Array1(int length, long* data) :
+  _ownData(false), _length(0), _buffer(0)
+{
+  resize(length, data);
+}
+
+// Copy constructor
+Array1::Array1(const Array1 & source) :
+  _length(source._length)
+{
+  allocateMemory();
+  *this = source;
+}
+
+// Destructor
+Array1::~Array1()
+{
+  deallocateMemory();
+}
+
+// Assignment operator
+Array1 & Array1::operator=(const Array1 & source)
+{
+  int len = _length < source._length ? _length : source._length;
+  for (int i=0;  i < len; ++i)
+  {
+    (*this)[i] = source[i];
+  }
+  return *this;
+}
+
+// Equals operator
+bool Array1::operator==(const Array1 & other) const
+{
+  if (_length != other._length) return false;
+  for (int i=0; i < _length; ++i)
+  {
+    if ((*this)[i] != other[i]) return false;
+  }
+  return true;
+}
+
+// Length accessor
+int Array1::length() const
+{
+  return _length;
+}
+
+// Resize array
+void Array1::resize(int length, long* data)
+{
+  if (length < 0) throw std::invalid_argument("Array1 length less than 0");
+  if (length == _length) return;
+  deallocateMemory();
+  _length = length;
+  if (!data)
+  {
+    allocateMemory();
+  }
+  else
+  {
+    _ownData = false;
+    _buffer  = data;
+  }
+}
+
+// Set item accessor
+long & Array1::operator[](int i)
+{
+  if (i < 0 || i >= _length) throw std::out_of_range("Array1 index out of range");
+  return _buffer[i];
+}
+
+// Get item accessor
+const long & Array1::operator[](int i) const
+{
+  if (i < 0 || i >= _length) throw std::out_of_range("Array1 index out of range");
+  return _buffer[i];
+}
+
+// String output
+std::string Array1::asString() const
+{
+  std::stringstream result;
+  result << "[";
+  for (int i=0; i < _length; ++i)
+  {
+    result << " " << _buffer[i];
+    if (i < _length-1) result << ",";
+  }
+  result << " ]";
+  return result.str();
+}
+
+// Get view
+void Array1::view(long** data, int* length) const
+{
+  *data   = _buffer;
+  *length = _length;
+}
+
+// Private methods
+ void Array1::allocateMemory()
+ {
+   if (_length == 0)
+   {
+     _ownData = false;
+     _buffer  = 0;
+   }
+   else
+   {
+     _ownData = true;
+     _buffer = new long[_length];
+   }
+ }
+
+ void Array1::deallocateMemory()
+ {
+   if (_ownData && _length && _buffer)
+   {
+     delete [] _buffer;
+   }
+   _ownData = false;
+   _length  = 0;
+   _buffer  = 0;
+ }

Added: trunk/numpy/doc/swig/test/Array1.h
===================================================================
--- trunk/numpy/doc/swig/test/Array1.h	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/test/Array1.h	2007-11-29 19:52:29 UTC (rev 4513)
@@ -0,0 +1,55 @@
+#ifndef ARRAY1_H
+#define ARRAY1_H
+
+#include <stdexcept>
+#include <string>
+
+class Array1
+{
+public:
+
+  // Default/length/array constructor
+  Array1(int length = 0, long* data = 0);
+
+  // Copy constructor
+  Array1(const Array1 & source);
+
+  // Destructor
+  ~Array1();
+
+  // Assignment operator
+  Array1 & operator=(const Array1 & source);
+
+  // Equals operator
+  bool operator==(const Array1 & other) const;
+
+  // Length accessor
+  int length() const;
+
+  // Resize array
+  void resize(int length, long* data = 0);
+
+  // Set item accessor
+  long & operator[](int i);
+
+  // Get item accessor
+  const long & operator[](int i) const;
+
+  // String output
+  std::string asString() const;
+
+  // Get view
+  void view(long** data, int* length) const;
+
+private:
+  // Members
+  bool _ownData;
+  int _length;
+  long * _buffer;
+
+  // Methods
+  void allocateMemory();
+  void deallocateMemory();
+};
+
+#endif

Added: trunk/numpy/doc/swig/test/Array2.cxx
===================================================================
--- trunk/numpy/doc/swig/test/Array2.cxx	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/test/Array2.cxx	2007-11-29 19:52:29 UTC (rev 4513)
@@ -0,0 +1,168 @@
+#include "Array2.h"
+#include <sstream>
+
+// Default constructor
+Array2::Array2() :
+  _ownData(false), _nrows(0), _ncols(), _buffer(0), _rows(0)
+{ }
+
+// Size/array constructor
+Array2::Array2(int nrows, int ncols, long* data) :
+  _ownData(false), _nrows(0), _ncols(), _buffer(0), _rows(0)
+{
+  resize(nrows, ncols, data);
+}
+
+// Copy constructor
+Array2::Array2(const Array2 & source) :
+  _nrows(source._nrows), _ncols(source._ncols)
+{
+  _ownData = true;
+  allocateMemory();
+  *this = source;
+}
+
+// Destructor
+Array2::~Array2()
+{
+  deallocateMemory();
+}
+
+// Assignment operator
+Array2 & Array2::operator=(const Array2 & source)
+{
+  int nrows = _nrows < source._nrows ? _nrows : source._nrows;
+  int ncols = _ncols < source._ncols ? _ncols : source._ncols;
+  for (int i=0; i < nrows; ++i)
+  {
+    for (int j=0; j < ncols; ++j)
+    {
+      (*this)[i][j] = source[i][j];
+    }
+  }
+  return *this;
+}
+
+// Equals operator
+bool Array2::operator==(const Array2 & other) const
+{
+  if (_nrows != other._nrows) return false;
+  if (_ncols != other._ncols) return false;
+  for (int i=0; i < _nrows; ++i)
+  {
+    for (int j=0; j < _ncols; ++j)
+    {
+      if ((*this)[i][j] != other[i][j]) return false;
+    }
+  }
+  return true;
+}
+
+// Length accessors
+int Array2::nrows() const
+{
+  return _nrows;
+}
+
+int Array2::ncols() const
+{
+  return _ncols;
+}
+
+// Resize array
+void Array2::resize(int nrows, int ncols, long* data)
+{
+  if (nrows < 0) throw std::invalid_argument("Array2 nrows less than 0");
+  if (ncols < 0) throw std::invalid_argument("Array2 ncols less than 0");
+  if (nrows == _nrows && ncols == _ncols) return;
+  deallocateMemory();
+  _nrows = nrows;
+  _ncols = ncols;
+  if (!data)
+  {
+    allocateMemory();
+  }
+  else
+  {
+    _ownData = false;
+    _buffer  = data;
+    allocateRows();
+  }
+}
+
+// Set item accessor
+Array1 & Array2::operator[](int i)
+{
+  if (i < 0 || i > _nrows) throw std::out_of_range("Array2 row index out of range");
+  return _rows[i];
+}
+
+// Get item accessor
+const Array1 & Array2::operator[](int i) const
+{
+  if (i < 0 || i > _nrows) throw std::out_of_range("Array2 row index out of range");
+  return _rows[i];
+}
+
+// String output
+std::string Array2::asString() const
+{
+  std::stringstream result;
+  result << "[ ";
+  for (int i=0; i < _nrows; ++i)
+  {
+    if (i > 0) result << "  ";
+    result << (*this)[i].asString();
+    if (i < _nrows-1) result << "," << std::endl;
+  }
+  result << " ]" << std::endl;
+  return result.str();
+}
+
+// Get view
+void Array2::view(int* nrows, int* ncols, long** data) const
+{
+  *nrows = _nrows;
+  *ncols = _ncols;
+  *data  = _buffer;
+}
+
+// Private methods
+void Array2::allocateMemory()
+{
+  if (_nrows * _ncols == 0)
+  {
+    _ownData = false;
+    _buffer  = 0;
+    _rows    = 0;
+  }
+  else
+  {
+    _ownData = true;
+    _buffer = new long[_nrows*_ncols];
+    allocateRows();
+  }
+}
+
+void Array2::allocateRows()
+{
+  _rows = new Array1[_nrows];
+  for (int i=0; i < _nrows; ++i)
+  {
+    _rows[i].resize(_ncols, &_buffer[i*_ncols]);
+  }
+}
+
+void Array2::deallocateMemory()
+{
+  if (_ownData && _nrows*_ncols && _buffer)
+  {
+    delete [] _rows;
+    delete [] _buffer;
+  }
+  _ownData = false;
+  _nrows   = 0;
+  _ncols   = 0;
+  _buffer  = 0;
+  _rows    = 0;
+}

Added: trunk/numpy/doc/swig/test/Array2.h
===================================================================
--- trunk/numpy/doc/swig/test/Array2.h	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/test/Array2.h	2007-11-29 19:52:29 UTC (rev 4513)
@@ -0,0 +1,63 @@
+#ifndef ARRAY2_H
+#define ARRAY2_H
+
+#include "Array1.h"
+#include <stdexcept>
+#include <string>
+
+class Array2
+{
+public:
+
+  // Default constructor
+  Array2();
+
+  // Size/array constructor
+  Array2(int nrows, int ncols, long* data=0);
+
+  // Copy constructor
+  Array2(const Array2 & source);
+
+  // Destructor
+  ~Array2();
+
+  // Assignment operator
+  Array2 & operator=(const Array2 & source);
+
+  // Equals operator
+  bool operator==(const Array2 & other) const;
+
+  // Length accessors
+  int nrows() const;
+  int ncols() const;
+
+  // Resize array
+  void resize(int ncols, int nrows, long* data=0);
+
+  // Set item accessor
+  Array1 & operator[](int i);
+
+  // Get item accessor
+  const Array1 & operator[](int i) const;
+
+  // String output
+  std::string asString() const;
+
+  // Get view
+  void view(int* nrows, int* ncols, long** data) const;
+
+private:
+  // Members
+  bool _ownData;
+  int _nrows;
+  int _ncols;
+  long * _buffer;
+  Array1 * _rows;
+
+  // Methods
+  void allocateMemory();
+  void allocateRows();
+  void deallocateMemory();
+};
+
+#endif

Modified: trunk/numpy/doc/swig/test/Makefile
===================================================================
--- trunk/numpy/doc/swig/test/Makefile	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/test/Makefile	2007-11-29 19:52:29 UTC (rev 4513)
@@ -1,11 +1,12 @@
 # SWIG
-INTERFACES = Vector.i Matrix.i Tensor.i
+INTERFACES = Array.i Vector.i Matrix.i Tensor.i
 WRAPPERS   = $(INTERFACES:.i=_wrap.cxx)
 PROXIES    = $(INTERFACES:.i=.py      )
 
 # Default target: build the tests
 .PHONY : all
-all: $(WRAPPERS) Vector.cxx Vector.h Matrix.cxx Matrix.h Tensor.cxx Tensor.h
+all: $(WRAPPERS) Array1.cxx Array1.h Vector.cxx Vector.h Matrix.cxx Matrix.h \
+	Tensor.cxx Tensor.h
 	./setup.py build
 
 # Test target: run the tests
@@ -14,10 +15,13 @@
 	python testVector.py
 	python testMatrix.py
 	python testTensor.py
+	python testArray.py
 
 # Rule: %.i -> %_wrap.cxx
 %_wrap.cxx: %.i %.h ../numpy.i
 	swig -c++ -python $<
+%_wrap.cxx: %.i %1.h %2.h ../numpy.i
+	swig -c++ -python $<
 
 # Clean target
 .PHONY : clean

Modified: trunk/numpy/doc/swig/test/setup.py
===================================================================
--- trunk/numpy/doc/swig/test/setup.py	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/test/setup.py	2007-11-29 19:52:29 UTC (rev 4513)
@@ -13,6 +13,14 @@
 except AttributeError:
     numpy_include = numpy.get_numpy_include()
 
+# Array extension module
+_Array = Extension("_Array",
+                   ["Array_wrap.cxx",
+                    "Array1.cxx",
+                    "Array2.cxx"],
+                   include_dirs = [numpy_include],
+                   )
+
 # _Vector extension module
 _Vector = Extension("_Vector",
                     ["Vector_wrap.cxx",
@@ -38,6 +46,6 @@
 setup(name        = "NumpyTypemapTests",
       description = "Functions that work on arrays",
       author      = "Bill Spotz",
-      py_modules  = ["Vector", "Matrix", "Tensor"],
-      ext_modules = [_Vector , _Matrix , _Tensor ]
+      py_modules  = ["Array", "Vector", "Matrix", "Tensor"],
+      ext_modules = [_Array , _Vector , _Matrix , _Tensor ]
       )

Added: trunk/numpy/doc/swig/test/testArray.py
===================================================================
--- trunk/numpy/doc/swig/test/testArray.py	2007-11-29 05:05:39 UTC (rev 4512)
+++ trunk/numpy/doc/swig/test/testArray.py	2007-11-29 19:52:29 UTC (rev 4513)
@@ -0,0 +1,285 @@
+#! /usr/bin/env python
+
+# System imports
+from   distutils.util import get_platform
+import os
+import sys
+import unittest
+
+# Import NumPy
+import numpy as N
+major, minor = [ int(d) for d in N.__version__.split(".")[:2] ]
+if major == 0: BadListError = TypeError
+else:          BadListError = ValueError
+
+# Add the distutils-generated build directory to the python search path and then
+# import the extension module
+libDir = "lib.%s-%s" % (get_platform(), sys.version[:3])
+sys.path.insert(0,os.path.join("build", libDir))
+import Array
+
+######################################################################
+
+class Array1TestCase(unittest.TestCase):
+
+    def setUp(self):
+        self.length = 5
+        self.array1 = Array.Array1(self.length)
+
+    def testConstructor0(self):
+        "Test Array1 default constructor"
+        a = Array.Array1()
+        self.failUnless(isinstance(a, Array.Array1))
+        self.failUnless(len(a) == 0)
+
+    def testConstructor1(self):
+        "Test Array1 length constructor"
+        self.failUnless(isinstance(self.array1, Array.Array1))
+
+    def testConstructor2(self):
+        "Test Array1 array constructor"
+        na = N.arange(self.length)
+        aa = Array.Array1(na)
+        self.failUnless(isinstance(aa, Array.Array1))
+
+    def testConstructor3(self):
+        "Test Array1 copy constructor"
+        for i in range(self.array1.length()): self.array1[i] = i
+        arrayCopy = Array.Array1(self.array1)
+        self.failUnless(arrayCopy == self.array1)
+
+    def testConstructorBad(self):
+        "Test Array1 length constructor, negative"
+        self.assertRaises(ValueError, Array.Array1, -4)
+
+    def testLength(self):
+        "Test Array1 length method"
+        self.failUnless(self.array1.length() == self.length)
+
+    def testLen(self):
+        "Test Array1 __len__ method"
+        self.failUnless(len(self.array1) == self.length)
+
+    def testResize0(self):
+        "Test Array1 resize method, length"
+        newLen = 2 * self.length
+        self.array1.resize(newLen)
+        self.failUnless(len(self.array1) == newLen)
+
+    def testResize1(self):
+        "Test Array1 resize method, array"
+        a = N.zeros((2*self.length,), dtype='l')
+        self.array1.resize(a)
+        self.failUnless(len(self.array1) == len(a))
+
+    def testResizeBad(self):
+        "Test Array1 resize method, negative length"
+        self.assertRaises(ValueError, self.array1.resize, -5)
+
+    def testSetGet(self):
+        "Test Array1 __setitem__, __getitem__ methods"
+        n = self.length
+        for i in range(n):
+            self.array1[i] = i*i
+        for i in range(n):
+            self.failUnless(self.array1[i] == i*i)
+
+    def testSetBad1(self):
+        "Test Array1 __setitem__ method, negative index"
+        self.assertRaises(IndexError, self.array1.__setitem__, -1, 0)
+
+    def testSetBad2(self):
+        "Test Array1 __setitem__ method, out-of-range index"
+        self.assertRaises(IndexError, self.array1.__setitem__, self.length+1, 0)
+
+    def testGetBad1(self):
+        "Test Array1 __getitem__ method, negative index"
+        self.assertRaises(IndexError, self.array1.__getitem__, -1)
+
+    def testGetBad2(self):
+        "Test Array1 __getitem__ method, out-of-range index"
+        self.assertRaises(IndexError, self.array1.__getitem__, self.length+1)
+
+    def testAsString(self):
+        "Test Array1 asString method"
+        for i in range(self.array1.length()): self.array1[i] = i+1
+        self.failUnless(self.array1.asString() == "[ 1, 2, 3, 4, 5 ]")
+
+    def testStr(self):
+        "Test Array1 __str__ method"
+        for i in range(self.array1.length()): self.array1[i] = i-2
+        self.failUnless(str(self.array1) == "[ -2, -1, 0, 1, 2 ]")
+
+    def testView(self):
+        "Test Array1 view method"
+        for i in range(self.array1.length()): self.array1[i] = i+1
+        a = self.array1.view()
+        self.failUnless(isinstance(a, N.ndarray))
+        self.failUnless(len(a) == self.length)
+        self.failUnless((a == [1,2,3,4,5]).all())
+
+######################################################################
+
+class Array2TestCase(unittest.TestCase):
+
+    def setUp(self):
+        self.nrows = 5
+        self.ncols = 4
+        self.array2 = Array.Array2(self.nrows, self.ncols)
+
+    def testConstructor0(self):
+        "Test Array2 default constructor"
+        a = Array.Array2()
+        self.failUnless(isinstance(a, Array.Array2))
+        self.failUnless(len(a) == 0)
+
+    def testConstructor1(self):
+        "Test Array2 nrows, ncols constructor"
+        self.failUnless(isinstance(self.array2, Array.Array2))
+
+    def testConstructor2(self):
+        "Test Array2 array constructor"
+        na = N.zeros((3,4), dtype="l")
+        aa = Array.Array2(na)
+        self.failUnless(isinstance(aa, Array.Array2))
+
+    def testConstructor3(self):
+        "Test Array2 copy constructor"
+        for i in range(self.nrows):
+            for j in range(self.ncols):
+                self.array2[i][j] = i * j
+        arrayCopy = Array.Array2(self.array2)
+        self.failUnless(arrayCopy == self.array2)
+
+    def testConstructorBad1(self):
+        "Test Array2 nrows, ncols constructor, negative nrows"
+        self.assertRaises(ValueError, Array.Array2, -4, 4)
+
+    def testConstructorBad2(self):
+        "Test Array2 nrows, ncols constructor, negative ncols"
+        self.assertRaises(ValueError, Array.Array2, 4, -4)
+
+    def testNrows(self):
+        "Test Array2 nrows method"
+        self.failUnless(self.array2.nrows() == self.nrows)
+
+    def testNcols(self):
+        "Test Array2 ncols method"
+        self.failUnless(self.array2.ncols() == self.ncols)
+
+    def testLen(self):
+        "Test Array2 __len__ method"
+        self.failUnless(len(self.array2) == self.nrows*self.ncols)
+
+    def testResize0(self):
+        "Test Array2 resize method, size"
+        newRows = 2 * self.nrows
+        newCols = 2 * self.ncols
+        self.array2.resize(newRows, newCols)
+        self.failUnless(len(self.array2) == newRows * newCols)
+
+    #def testResize1(self):
+    #    "Test Array2 resize method, array"
+    #    a = N.zeros((2*self.nrows, 2*self.ncols), dtype='l')
+    #    self.array2.resize(a)
+    #    self.failUnless(len(self.array2) == len(a))
+
+    def testResizeBad1(self):
+        "Test Array2 resize method, negative nrows"
+        self.assertRaises(ValueError, self.array2.resize, -5, 5)
+
+    def testResizeBad2(self):
+        "Test Array2 resize method, negative ncols"
+        self.assertRaises(ValueError, self.array2.resize, 5, -5)
+
+    def testSetGet1(self):
+        "Test Array2 __setitem__, __getitem__ methods"
+        m = self.nrows
+        n = self.ncols
+        array1 = [ ]
+        a = N.arange(n, dtype="l")
+        for i in range(m):
+            array1.append(Array.Array1(i*a))
+        for i in range(m):
+            self.array2[i] = array1[i]
+        for i in range(m):
+            self.failUnless(self.array2[i] == array1[i])
+
+    def testSetGet2(self):
+        "Test Array2 chained __setitem__, __getitem__ methods"
+        m = self.nrows
+        n = self.ncols
+        for i in range(m):
+            for j in range(n):
+                self.array2[i][j] = i*j
+        for i in range(m):
+            for j in range(n):
+                self.failUnless(self.array2[i][j] == i*j)
+
+    def testSetBad1(self):
+        "Test Array2 __setitem__ method, negative index"
+        a = Array.Array1(self.ncols)
+        self.assertRaises(IndexError, self.array2.__setitem__, -1, a)
+
+    def testSetBad2(self):
+        "Test Array2 __setitem__ method, out-of-range index"
+        a = Array.Array1(self.ncols)
+        self.assertRaises(IndexError, self.array2.__setitem__, self.nrows+1, a)
+
+    def testGetBad1(self):
+        "Test Array2 __getitem__ method, negative index"
+        self.assertRaises(IndexError, self.array2.__getitem__, -1)
+
+    def testGetBad2(self):
+        "Test Array2 __getitem__ method, out-of-range index"
+        self.assertRaises(IndexError, self.array2.__getitem__, self.nrows+1)
+
+    def testAsString(self):
+        "Test Array2 asString method"
+        result = """\
+[ [ 0, 1, 2, 3 ],
+  [ 1, 2, 3, 4 ],
+  [ 2, 3, 4, 5 ],
+  [ 3, 4, 5, 6 ],
+  [ 4, 5, 6, 7 ] ]
+"""
+        for i in range(self.nrows):
+            for j in range(self.ncols):
+                self.array2[i][j] = i+j
+        self.failUnless(self.array2.asString() == result)
+
+    def testStr(self):
+        "Test Array2 __str__ method"
+        result = """\
+[ [ 0, -1, -2, -3 ],
+  [ 1, 0, -1, -2 ],
+  [ 2, 1, 0, -1 ],
+  [ 3, 2, 1, 0 ],
+  [ 4, 3, 2, 1 ] ]
+"""
+        for i in range(self.nrows):
+            for j in range(self.ncols):
+                self.array2[i][j] = i-j
+        self.failUnless(str(self.array2) == result)
+
+    def testView(self):
+        "Test Array2 view method"
+        a = self.array2.view()
+        self.failUnless(isinstance(a, N.ndarray))
+        self.failUnless(len(a) == self.nrows)
+
+######################################################################
+
+if __name__ == "__main__":
+
+    # Build the test suite
+    suite = unittest.TestSuite()
+    suite.addTest(unittest.makeSuite(Array1TestCase))
+    suite.addTest(unittest.makeSuite(Array2TestCase))
+
+    # Execute the test suite
+    print "Testing Classes of Module Array"
+    print "NumPy version", N.__version__
+    print
+    result = unittest.TextTestRunner(verbosity=2).run(suite)
+    sys.exit(len(result.errors) + len(result.failures))


Property changes on: trunk/numpy/doc/swig/test/testArray.py
___________________________________________________________________
Name: svn:executable
   + *



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