Changeset 3614

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Timestamp:
03/29/07 15:47:40 (2 years ago)
Author:
wfspotz@sandia.gov
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Updated examples in the documentation

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  • trunk/numpy/doc/swig/numpy_swig.html

    r3597 r3614  
    66<title>numpy.i: a SWIG Interface File for NumPy</title> 
    77<meta name="author" content="Bill Spotz" /> 
    8 <meta name="date" content="18 March, 2007" /> 
     8<meta name="date" content="29 March, 2007" /> 
    99<style type="text/css"> 
    1010 
    …… 
    303303</tr> 
    304304<tr><th class="docinfo-name">Date:</th> 
    305 <td>18 March, 2007</td></tr> 
     305<td>29 March, 2007</td></tr> 
    306306</tbody> 
    307307</table> 
    …… 
    315315<li><a class="reference" href="#in-place-arrays" id="id5" name="id5">In-Place Arrays</a></li> 
    316316<li><a class="reference" href="#argout-arrays" id="id6" name="id6">Argout Arrays</a></li> 
    317 <li><a class="reference" href="#other-common-types-bool" id="id7" name="id7">Other Common Types: bool</a></li> 
    318 <li><a class="reference" href="#other-common-types-complex" id="id8" name="id8">Other Common Types: complex</a></li> 
     317<li><a class="reference" href="#output-arrays" id="id7" name="id7">Output Arrays</a></li> 
     318<li><a class="reference" href="#other-common-types-bool" id="id8" name="id8">Other Common Types: bool</a></li> 
     319<li><a class="reference" href="#other-common-types-complex" id="id9" name="id9">Other Common Types: complex</a></li> 
    319320</ul> 
    320321</li> 
    321 <li><a class="reference" href="#helper-functions" id="id9" name="id9">Helper Functions</a><ul> 
    322 <li><a class="reference" href="#macros" id="id10" name="id10">Macros</a></li> 
    323 <li><a class="reference" href="#routines" id="id11" name="id11">Routines</a></li> 
     322<li><a class="reference" href="#helper-functions" id="id10" name="id10">Helper Functions</a><ul> 
     323<li><a class="reference" href="#macros" id="id11" name="id11">Macros</a></li> 
     324<li><a class="reference" href="#routines" id="id12" name="id12">Routines</a></li> 
    324325</ul> 
    325326</li> 
    326 <li><a class="reference" href="#beyond-the-provided-typemaps" id="id12" name="id12">Beyond the Provided Typemaps</a></li> 
    327 <li><a class="reference" href="#acknowledgements" id="id13" name="id13">Acknowledgements</a></li> 
     327<li><a class="reference" href="#beyond-the-provided-typemaps" id="id13" name="id13">Beyond the Provided Typemaps</a><ul> 
     328<li><a class="reference" href="#a-common-example" id="id14" name="id14">A Common Example</a></li> 
     329<li><a class="reference" href="#other-situations" id="id15" name="id15">Other Situations</a></li> 
     330<li><a class="reference" href="#a-final-note" id="id16" name="id16">A Final Note</a></li> 
     331</ul> 
     332</li> 
     333<li><a class="reference" href="#acknowledgements" id="id17" name="id17">Acknowledgements</a></li> 
    328334</ul> 
    329335</div> 
    …… 
    495501</blockquote> 
    496502<p>The first signature listed, <tt class="docutils literal"><span class="pre">(DATA_TYPE</span> <span class="pre">IN_ARRAY[ANY])</span></tt> is for 
    497 hard-coded one-dimensional arrays.  Likewise, <tt class="docutils literal"><span class="pre">(DATA_TYPE</span> 
    498 <span class="pre">IN_ARRAY2[ANY][ANY])</span></tt> is for two-dimensional arrays.</p> 
     503one-dimensional arrays with hard-coded dimensions.  Likewise, 
     504<tt class="docutils literal"><span class="pre">(DATA_TYPE</span> <span class="pre">IN_ARRAY2[ANY][ANY])</span></tt> is for two-dimensional arrays with 
     505hard-coded dimensions.</p> 
    499506</div> 
    500507<div class="section"> 
    …… 
    535542</div> 
    536543<div class="section"> 
    537 <h2><a class="toc-backref" href="#id7" id="other-common-types-bool" name="other-common-types-bool">Other Common Types: bool</a></h2> 
     544<h2><a class="toc-backref" href="#id7" id="output-arrays" name="output-arrays">Output Arrays</a></h2> 
     545<p>The <tt class="docutils literal"><span class="pre">numpy.i</span></tt> interface file does not support typemaps for output 
     546arrays, for several reasons.  First, C/C++ function return arguments 
     547do not have names, so signatures for <tt class="docutils literal"><span class="pre">%typemap(out)</span></tt> do not include 
     548names.  This means that if <tt class="docutils literal"><span class="pre">numpy.i</span></tt> supported them, they would 
     549apply to all pointer return arguments for the supported numeric 
     550types.  This seems too dangerous.  Second, C/C++ return arguments are 
     551limited to a single value.  This prevents obtaining dimension 
     552information in a general way.  Third, arrays with hard-coded lengths 
     553are not permitted as return arguments.  In other words:</p> 
     554<pre class="literal-block"> 
     555double[3] newVector(double x, double y, double z); 
     556</pre> 
     557<p>is not legal C/C++ syntax.  Therefore, we cannot provide typemaps of 
     558the form:</p> 
     559<pre class="literal-block"> 
     560%typemap(out) (TYPE[ANY]); 
     561</pre> 
     562<p>If you run into a situation where a function or method is returning a 
     563pointer to an array, your best bet is to write your own version of the 
     564function to be wrapped, either with <tt class="docutils literal"><span class="pre">%extend</span></tt> for the case of class 
     565methods 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> 
     566</div> 
     567<div class="section"> 
     568<h2><a class="toc-backref" href="#id8" id="other-common-types-bool" name="other-common-types-bool">Other Common Types: bool</a></h2> 
    538569<p>Note that C++ type <tt class="docutils literal"><span class="pre">bool</span></tt> is not supported in the list in the 
    539570<a class="reference" href="#available-typemaps">Available Typemaps</a> section.  NumPy bools are a single byte, while 
    …… 
    552583</div> 
    553584<div class="section"> 
    554 <h2><a class="toc-backref" href="#id8" id="other-common-types-complex" name="other-common-types-complex">Other Common Types: complex</a></h2> 
     585<h2><a class="toc-backref" href="#id9" id="other-common-types-complex" name="other-common-types-complex">Other Common Types: complex</a></h2> 
    555586<p>Typemap conversions for complex floating-point types is also not 
    556587supported 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 
    …… 
    586617</div> 
    587618<div class="section"> 
    588 <h1><a class="toc-backref" href="#id9" id="helper-functions" name="helper-functions">Helper Functions</a></h1> 
     619<h1><a class="toc-backref" href="#id10" id="helper-functions" name="helper-functions">Helper Functions</a></h1> 
    589620<p>The <tt class="docutils literal"><span class="pre">numpy.i</span></tt> file containes several macros and routines that it 
    590621uses internally to build its typemaps.  However, these functions may 
    591622be useful elsewhere in your interface file.</p> 
    592623<div class="section"> 
    593 <h2><a class="toc-backref" href="#id10" id="macros" name="macros">Macros</a></h2> 
     624<h2><a class="toc-backref" href="#id11" id="macros" name="macros">Macros</a></h2> 
    594625<blockquote> 
    595626<dl class="docutils"> 
    …… 
    613644</div> 
    614645<div class="section"> 
    615 <h2><a class="toc-backref" href="#id11" id="routines" name="routines">Routines</a></h2> 
     646<h2><a class="toc-backref" href="#id12" id="routines" name="routines">Routines</a></h2> 
    616647<blockquote> 
    617648<dl class="docutils"> 
    …… 
    665696</div> 
    666697<div class="section"> 
    667 <h1><a class="toc-backref" href="#id12" id="beyond-the-provided-typemaps" name="beyond-the-provided-typemaps">Beyond the Provided Typemaps</a></h1> 
     698<h1><a class="toc-backref" href="#id13" id="beyond-the-provided-typemaps" name="beyond-the-provided-typemaps">Beyond the Provided Typemaps</a></h1> 
    668699<p>There are many C or C++ array/<a class="reference" href="http://numpy.scipy.org">NumPy</a> array situations not covered by 
    669 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. 
    670 Nevertheless, <tt class="docutils literal"><span class="pre">numpy.i</span></tt> may still be helpful when you encounter 
    671 them.</p> 
     700a 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> 
     701<div class="section"> 
     702<h2><a class="toc-backref" href="#id14" id="a-common-example" name="a-common-example">A Common Example</a></h2> 
     703<p>Consider a reasonable prototype for a dot product function:</p> 
     704<pre class="literal-block"> 
     705double dot(int len, double* vec1, double* vec2); 
     706</pre> 
     707<p>The python interface that we want is:</p> 
     708<pre class="literal-block"> 
     709def dot(vec1, vec2): 
     710</pre> 
     711<p>The problem here is that there is one dimension argument and two array 
     712arguments, and our typemaps are set up for dimensions that apply to a 
     713single array (in fact, <a class="reference" href="http://www.swig.org">SWIG</a> does not provide a mechanism for 
     714associating <tt class="docutils literal"><span class="pre">len</span></tt> with <tt class="docutils literal"><span class="pre">vec2</span></tt> that takes two python input 
     715arguments).  The recommended solution is the following:</p> 
     716<pre class="literal-block"> 
     717%apply (int DIM1, double* IN_ARRAY1) {(int len1, double* vec1), 
     718                                      (int len2, double* vec2)} 
     719%rename (dot) my_dot; 
     720%inline %{ 
     721double my_dot(int len1, double* vec1, int len2, double* vec2) { 
     722    if (len1 != len2) { 
     723        PyErr_Format(PyExc_ValueError, 
     724                     &quot;Arrays of lengths (%d,%d) given&quot;, 
     725                     len1, len2); 
     726        return 0.0; 
     727    } 
     728    return dot(len1, vec1, vec2); 
     729} 
     730%} 
     731</pre> 
     732<p>If the header file that contains the prototype for <tt class="docutils literal"><span class="pre">dot()</span></tt> also 
     733contains other prototypes that you want to wrap, so that you need to 
     734<tt class="docutils literal"><span class="pre">%include</span></tt> this header file, then you will also need a <tt class="docutils literal"><span class="pre">%ignore</span> 
     735<span class="pre">dot;</span></tt> directive, placed after the <tt class="docutils literal"><span class="pre">%rename</span></tt> and before the 
     736<tt class="docutils literal"><span class="pre">%include</span></tt> directives.</p> 
     737</div> 
     738<div class="section"> 
     739<h2><a class="toc-backref" href="#id15" id="other-situations" name="other-situations">Other Situations</a></h2> 
     740<p>There are other wrapping situations in which <tt class="docutils literal"><span class="pre">numpy.i</span></tt> may be 
     741helpful when you encounter them.</p> 
    672742<blockquote> 
    673743<ul> 
    …… 
    685755For example, if you had a three-dimensional array as a function 
    686756argument, you could cut-and-paste the appropriate two-dimensional 
    687 typemap into your interface file.  The modification for the third 
     757typemap into your interface file.  The modifications for the third 
    688758dimension would be trivial.</p> 
    689759</li> 
    …… 
    704774</div> 
    705775<div class="section"> 
    706 <h1><a class="toc-backref" href="#id13" id="acknowledgements" name="acknowledgements">Acknowledgements</a></h1> 
    707 <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> (and its 
    708 predecessors Numeric and numarray) together.  The effort to 
    709 standardize this work into <tt class="docutils literal"><span class="pre">numpy.i</span></tt> began at the 2005 SciPy 
    710 Conference with a conversation between Fernando Perez and myself. 
    711 Fernando collected helper functions and typemaps from Michael Hunter, 
    712 Anna Omelchenko and Michael Sanner.  Their work has made this end 
    713 result possible.</p> 
     776<h2><a class="toc-backref" href="#id16" id="a-final-note" name="a-final-note">A Final Note</a></h2> 
     777<p>When you use the <tt class="docutils literal"><span class="pre">%apply</span></tt> directive, as is usually necessary to use 
     778<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 
     779shouldn't be.  If the arguments to the functions or methods that you 
     780are wrapping have common names, such as <tt class="docutils literal"><span class="pre">length</span></tt> or <tt class="docutils literal"><span class="pre">vector</span></tt>, 
     781these typemaps may get applied in situations you do not expect or 
     782want.  Therefore, it is always a good idea to add a <tt class="docutils literal"><span class="pre">%clear</span></tt> 
     783directive after you are done with a specific typemap:</p> 
     784<pre class="literal-block"> 
     785%apply (double* IN_ARRAY1, int DIM1) {(double* vector, int length)} 
     786%include &quot;my_header.h&quot; 
     787%clear (double* vector, int length); 
     788</pre> 
     789<p>In general, you should target these typemap signatures specifically 
     790where you want them, and then clear them after you are done.</p> 
     791</div> 
     792</div> 
     793<div class="section"> 
     794<h1><a class="toc-backref" href="#id17" id="acknowledgements" name="acknowledgements">Acknowledgements</a></h1> 
     795<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 
     796as <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). 
     797The effort to standardize this work into <tt class="docutils literal"><span class="pre">numpy.i</span></tt> began at the 2005 
     798<a class="reference" href="http://scipy.org">SciPy</a> Conference with a conversation between 
     799Fernando Perez and myself.  Fernando collected helper functions and 
     800typemaps from Michael Hunter, Anna Omelchenko and Michael Sanner. 
     801Their work has made this end result possible.</p> 
    714802</div> 
    715803</div> 
    716804<div class="footer"> 
    717805<hr class="footer" /> 
    718 Generated on: 2007-03-25 03:02 UTC. 
     806Generated on: 2007-03-29 20:45 UTC. 
    719807Generated 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. 
    720808 

  • trunk/numpy/doc/swig/numpy_swig.pdf

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