Changeset 3659

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Timestamp:
04/04/07 11:11:49 (2 years ago)
Author:
wfspotz@sandia.gov
Message:

Updated documentation to include a Summary, as well as a sample of the code generated by swig

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

    r3652 r3659  
    331331</ul> 
    332332</li> 
    333 <li><a class="reference" href="#acknowledgements" id="id17" name="id17">Acknowledgements</a></li> 
     333<li><a class="reference" href="#summary" id="id17" name="id17">Summary</a></li> 
     334<li><a class="reference" href="#acknowledgements" id="id18" name="id18">Acknowledgements</a></li> 
    334335</ul> 
    335336</div> 
    …… 
    358359with the module <a class="reference" href="http://numpy.scipy.org">NumPy</a>, which provides full 
    359360object-oriented access to arrays of data.  Therefore, the most logical 
    360 <a class="reference" href="http://www.python.org">python</a> interface for the <tt class="docutils literal"><span class="pre">rms</span></tt> function would be:</p> 
     361<a class="reference" href="http://www.python.org">python</a> interface for the <tt class="docutils literal"><span class="pre">rms</span></tt> function would be (including doc 
     362string):</p> 
    361363<pre class="literal-block"> 
    362364def rms(seq): 
     365    &quot;&quot;&quot; 
     366    rms(numpy.ndarray) -&gt; double 
     367    rms(list) -&gt; double 
     368    rms(tuple) -&gt; double 
     369    &quot;&quot;&quot; 
    363370</pre> 
    364371<p>where <tt class="docutils literal"><span class="pre">seq</span></tt> would be a <a class="reference" href="http://numpy.scipy.org">NumPy</a> array of <tt class="docutils literal"><span class="pre">double</span></tt> values, and its 
    …… 
    407414effectively, therefore, requires knowing what typemaps are available 
    408415and what they do.</p> 
     416<p>A <a class="reference" href="http://www.swig.org">SWIG</a> interface file that includes the <a class="reference" href="http://www.swig.org">SWIG</a> directives given 
     417above will produce wrapper code that looks something like:</p> 
     418<pre class="literal-block"> 
     419 1 PyObject *_wrap_rms(PyObject *args) { 
     420 2   PyObject *resultobj = 0; 
     421 3   double *arg1 = (double *) 0 ; 
     422 4   int arg2 ; 
     423 5   double result; 
     424 6   PyArrayObject *array1 = NULL ; 
     425 7   int is_new_object1 = 0 ; 
     426 8   PyObject * obj0 = 0 ; 
     427 9 
     42810   if (!PyArg_ParseTuple(args,(char *)&quot;O:rms&quot;,&amp;obj0)) SWIG_fail; 
     42911   { 
     43012     array1 = obj_to_array_contiguous_allow_conversion( 
     43113                  obj0, NPY_DOUBLE, &amp;is_new_object1); 
     43214     npy_intp size[1] = { 
     43315       -1 
     43416     }; 
     43517     if (!array1 || !require_dimensions(array1, 1) || 
     43618         !require_size(array1, size, 1)) SWIG_fail; 
     43719     arg1 = (double*) array1-&gt;data; 
     43820     arg2 = (int) array1-&gt;dimensions[0]; 
     43921   } 
     44022   result = (double)rms(arg1,arg2); 
     44123   resultobj = SWIG_From_double((double)(result)); 
     44224   { 
     44325     if (is_new_object1 &amp;&amp; array1) Py_DECREF(array1); 
     44426   } 
     44527   return resultobj; 
     44628 fail: 
     44729   { 
     44830     if (is_new_object1 &amp;&amp; array1) Py_DECREF(array1); 
     44931   } 
     45032   return NULL; 
     45133 } 
     452</pre> 
     453<p>The typemaps from <tt class="docutils literal"><span class="pre">numpy.i</span></tt> are responsible for the following lines 
     454of code: 12--20, 25 and 30.  Line 10 parses the input to the <tt class="docutils literal"><span class="pre">rms</span></tt> 
     455function.  From the format string <tt class="docutils literal"><span class="pre">&quot;O:rms&quot;</span></tt>, we can see that the 
     456argument list is expected to be a single python object (specified by 
     457the <tt class="docutils literal"><span class="pre">O</span></tt> before the colon) and whose pointer is stored in <tt class="docutils literal"><span class="pre">obj0</span></tt>. 
     458A number of functions, supplied by <tt class="docutils literal"><span class="pre">numpy.i</span></tt>, are called to make and 
     459check the (possible) conversion from a generic python object to a 
     460<a class="reference" href="http://numpy.scipy.org">NumPy</a> array.  These functions are explained in the section <a class="reference" href="#helper-functions">Helper 
     461Functions</a>, but hopefully their names are self-explanatory.  At line 
     46212 we use <tt class="docutils literal"><span class="pre">obj0</span></tt> to construct a <a class="reference" href="http://numpy.scipy.org">NumPy</a> array.  At line 17, we 
     463check the validity of the result: that it is non-null and that it has 
     464a single dimension of arbitrary length.  Once these states are 
     465verified, we extract the data buffer and length in lines 19 and 20 so 
     466that we can call the underlying C function at line 22.  Line 25 
     467performs memory management for the case where we have created a new 
     468array that is no longer needed.</p> 
     469<p>This code has a significant amount of error handling.  Note the 
     470<tt class="docutils literal"><span class="pre">SWIG_fail</span></tt> is a macro for <tt class="docutils literal"><span class="pre">goto</span> <span class="pre">fail</span></tt>, refering to the label at 
     471line 28.  If the user provides the wrong number of arguments, this 
     472will be caught at line 10.  If construction of the <a class="reference" href="http://numpy.scipy.org">NumPy</a> array 
     473fails or produces an array with the wrong number of dimensions, these 
     474errors are caught at line 17.  And finally, if an error is detected, 
     475memory is still managed correctly at line 30.</p> 
    409476<p>Note that if the C function signature was in a different order:</p> 
    410477<pre class="literal-block"> 
    …… 
    417484%apply (int DIM1, double* IN_ARRAY1) {(int n, double* seq)}; 
    418485</pre> 
     486<p>This simply has the effect of switching the definitions of <tt class="docutils literal"><span class="pre">arg1</span></tt> 
     487and <tt class="docutils literal"><span class="pre">arg2</span></tt> in lines 3 and 4 of the generated code above, and their 
     488assignments in lines 19 and 20.</p> 
    419489</div> 
    420490<div class="section"> 
    …… 
    732802<pre class="literal-block"> 
    733803def dot(vec1, vec2): 
     804    &quot;&quot;&quot; 
     805    dot(PyObject,PyObject) -&gt; double 
     806    &quot;&quot;&quot; 
    734807</pre> 
    735808<p>The problem here is that there is one dimension argument and two array 
    …… 
    754827%} 
    755828</pre> 
    756 <p>If the header file that contains the prototype for <tt class="docutils literal"><span class="pre">dot()</span></tt> also 
    757 contains other prototypes that you want to wrap, so that you need to 
    758 <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> 
     829<p>If the header file that contains the prototype for <tt class="docutils literal"><span class="pre">double</span> <span class="pre">dot()</span></tt> 
     830also contains other prototypes that you want to wrap, so that you need 
     831to <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> 
    759832<span class="pre">dot;</span></tt> directive, placed after the <tt class="docutils literal"><span class="pre">%rename</span></tt> and before the 
    760 <tt class="docutils literal"><span class="pre">%include</span></tt> directives.</p> 
     833<tt class="docutils literal"><span class="pre">%include</span></tt> directives.  Or, if the function in question is a class 
     834method, you will want to use <tt class="docutils literal"><span class="pre">%extend</span></tt> rather than <tt class="docutils literal"><span class="pre">%inline</span></tt> in 
     835addition to <tt class="docutils literal"><span class="pre">%ignore</span></tt>.</p> 
    761836</div> 
    762837<div class="section"> 
    …… 
    816891</div> 
    817892<div class="section"> 
    818 <h1><a class="toc-backref" href="#id17" id="acknowledgements" name="acknowledgements">Acknowledgements</a></h1> 
     893<h1><a class="toc-backref" href="#id17" id="summary" name="summary">Summary</a></h1> 
     894<p>Out of the box, <tt class="docutils literal"><span class="pre">numpy.i</span></tt> provides typemaps that support conversion 
     895between <a class="reference" href="http://numpy.scipy.org">NumPy</a> arrays and C arrays:</p> 
     896<blockquote> 
     897<ul class="simple"> 
     898<li>That can be one of 12 different scalar types: <tt class="docutils literal"><span class="pre">signed</span> <span class="pre">char</span></tt>, 
     899<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>, 
     900<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>, 
     901<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> 
     902<li>That support 16 different argument signatures for each data type, 
     903including:<ul> 
     904<li>One-dimensional and two-dimensional arrays.</li> 
     905<li>Input-only, in-place, and argout behavior.</li> 
     906<li>Hard-coded dimensions, data-buffer-then-dimensions 
     907specification, and dimensions-then-data-buffer specification.</li> 
     908</ul> 
     909</li> 
     910</ul> 
     911</blockquote> 
     912<p>The <tt class="docutils literal"><span class="pre">numpy.i</span></tt> interface file also provides additional tools for 
     913wrapper developers, including:</p> 
     914<blockquote> 
     915<ul class="simple"> 
     916<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 
     917implementing the 16 argument signatures for the user's choice of 
     918(1) C data type, (2) <a class="reference" href="http://numpy.scipy.org">NumPy</a> data type (assuming they match), and 
     919(3) dimension type.</li> 
     920<li>Seven C macros and eleven C functions that can be used to write 
     921specialized typemaps, extensions, or inlined functions that handle 
     922cases not covered by the provided typemaps.</li> 
     923</ul> 
     924</blockquote> 
     925</div> 
     926<div class="section"> 
     927<h1><a class="toc-backref" href="#id18" id="acknowledgements" name="acknowledgements">Acknowledgements</a></h1> 
    819928<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 
    820929as <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). 
    …… 
    830939<div class="footer"> 
    831940<hr class="footer" /> 
    832 Generated on: 2007-04-03 21:50 UTC. 
     941Generated on: 2007-04-04 16:10 UTC. 
    833942Generated 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. 
    834943 

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

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