Changeset 3714

Timestamp:

04/13/07 21:44:24 (2 years ago)

Author:

wfspotz@…

Message:

Updated date, example function documentation and python links

Location:

trunk/numpy/doc/swig

Files:

• numpy_swig.html (modified) (19 diffs)
• numpy_swig.pdf (modified) (106 diffs)
• numpy_swig.txt (modified) (19 diffs)

trunk/numpy/doc/swig/numpy_swig.html

@@ -6 +6 @@
 <title>numpy.i: a SWIG Interface File for NumPy</title>
 <meta name="author" content="Bill Spotz" />
-<meta name="date" content="4 April, 2007" />
+<meta name="date" content="13 April, 2007" />
 <style type="text/css">
 
@@ -303 +303 @@
 </tr>
 <tr><th class="docinfo-name">Date:</th>
-<td>4 April, 2007</td></tr>
+<td>13 April, 2007</td></tr>
 </tbody>
 </table>
@@ -364 +364 @@
 def rms(seq):
     &quot;&quot;&quot;
+    rms: return the root mean square of a sequence
     rms(numpy.ndarray) -&gt; double
     rms(list) -&gt; double
@@ -454 +455 @@
 of code: 12--20, 25 and 30.  Line 10 parses the input to the <tt class="docutils literal"><span class="pre">rms</span></tt>
 function.  From the format string <tt class="docutils literal"><span class="pre">&quot;O:rms&quot;</span></tt>, we can see that the
-argument list is expected to be a single python object (specified by
-the <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>.
-A number of functions, supplied by <tt class="docutils literal"><span class="pre">numpy.i</span></tt>, are called to make and
-check the (possible) conversion from a generic python object to a
-<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
-Functions</a>, but hopefully their names are self-explanatory.  At line
-12 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
-check the validity of the result: that it is non-null and that it has
-a single dimension of arbitrary length.  Once these states are
-verified, we extract the data buffer and length in lines 19 and 20 so
-that we can call the underlying C function at line 22.  Line 25
-performs memory management for the case where we have created a new
-array that is no longer needed.</p>
+argument list is expected to be a single <a class="reference" href="http://www.python.org">python</a> object (specified
+by the <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>.  A number of functions, supplied by <tt class="docutils literal"><span class="pre">numpy.i</span></tt>, are called
+to make and check the (possible) conversion from a generic <a class="reference" href="http://www.python.org">python</a>
+object to a <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 Functions</a>, but hopefully their names are
+self-explanatory.  At line 12 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 check the validity of the result: that it is
+non-null and that it has a single dimension of arbitrary length.  Once
+these states are verified, we extract the data buffer and length in
+lines 19 and 20 so that we can call the underlying C function at line
+22.  Line 25 performs memory management for the case where we have
+created a new array that is no longer needed.</p>
 <p>This code has a significant amount of error handling.  Note the
 <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
@@ -624 +625 @@
 <p>These are typically used in situations where in C/C++, you would
 allocate a(n) array(s) on the heap, and call the function to fill the
-array(s) values.  In python, the arrays are allocated for you and
+array(s) values.  In <a class="reference" href="http://www.python.org">python</a>, the arrays are allocated for you and
 returned as new array objects.</p>
 <p>Note that we support <tt class="docutils literal"><span class="pre">DATA_TYPE*</span></tt> argout typemaps in 1D, but not 2D
 or 3D.  This because of a quirk with the <a class="reference" href="http://www.swig.org">SWIG</a> typemap syntax and
 cannot be avoided.  Note that for these types of 1D typemaps, the
-python function will take a single argument representing <tt class="docutils literal"><span class="pre">DIM1</span></tt>.</p>
+<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">
@@ -697 +698 @@
 seemed unlikely that there would be any independent (non-<a class="reference" href="http://www.python.org">python</a>,
 non-<a class="reference" href="http://numpy.scipy.org">NumPy</a>) application code that people would be using <a class="reference" href="http://www.swig.org">SWIG</a> to
-generate a python interface to, that also used these definitions for
-complex types.  More likely, these application codes will define their
-own complex types, or in the case of C++, use <tt class="docutils literal"><span class="pre">std::complex</span></tt>.
+generate a <a class="reference" href="http://www.python.org">python</a> interface to, that also used these definitions
+for complex types.  More likely, these application codes will define
+their own complex types, or in the case of C++, use <tt class="docutils literal"><span class="pre">std::complex</span></tt>.
 Assuming these data structures are compatible with <a class="reference" href="http://www.python.org">python</a> and
 <a class="reference" href="http://numpy.scipy.org">NumPy</a> complex types, <tt class="docutils literal"><span class="pre">%numpy_typemap</span></tt> expansions as above (with
@@ -751 +752 @@
 <p>Arguments:</p>
 <ul class="simple">
-<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">py_obj</span></tt>, a general python object.</li>
+<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">py_obj</span></tt>, a general <a class="reference" href="http://www.python.org">python</a> object.</li>
 </ul>
 <p>Return a string describing the type of <tt class="docutils literal"><span class="pre">py_obj</span></tt>.</p>
@@ -783 +784 @@
 <p>Arguments:</p>
 <ul class="simple">
-<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">input</span></tt>, a general python object.</li>
+<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">input</span></tt>, a general <a class="reference" href="http://www.python.org">python</a> object.</li>
 <li><tt class="docutils literal"><span class="pre">int</span> <span class="pre">typecode</span></tt>, the desired <a class="reference" href="http://numpy.scipy.org">NumPy</a> typecode.</li>
 </ul>
 <p>Cast <tt class="docutils literal"><span class="pre">input</span></tt> to a <tt class="docutils literal"><span class="pre">PyArrayObject*</span></tt> if legal, and ensure that
 it is of type <tt class="docutils literal"><span class="pre">typecode</span></tt>.  If <tt class="docutils literal"><span class="pre">input</span></tt> cannot be cast, or the
-<tt class="docutils literal"><span class="pre">typecode</span></tt> is wrong, set a python error and return <tt class="docutils literal"><span class="pre">NULL</span></tt>.</p>
+<tt class="docutils literal"><span class="pre">typecode</span></tt> is wrong, set a <a class="reference" href="http://www.python.org">python</a> error and return <tt class="docutils literal"><span class="pre">NULL</span></tt>.</p>
 </blockquote>
 <p><strong>obj_to_array_allow_conversion()</strong></p>
@@ -795 +796 @@
 <p>Arguments:</p>
 <ul class="simple">
-<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">input</span></tt>, a general python object.</li>
+<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">input</span></tt>, a general <a class="reference" href="http://www.python.org">python</a> object.</li>
 <li><tt class="docutils literal"><span class="pre">int</span> <span class="pre">typecode</span></tt>, the desired <a class="reference" href="http://numpy.scipy.org">NumPy</a> typecode of the resulting
 array.</li>
@@ -803 +804 @@
 <p>Convert <tt class="docutils literal"><span class="pre">input</span></tt> to a <a class="reference" href="http://numpy.scipy.org">NumPy</a> array with the given <tt class="docutils literal"><span class="pre">typecode</span></tt>.
 On success, return a valid <tt class="docutils literal"><span class="pre">PyArrayObject*</span></tt> with the correct
-type.  On failure, the python error string will be set and the
+type.  On failure, the <a class="reference" href="http://www.python.org">python</a> error string will be set and the
 routine returns <tt class="docutils literal"><span class="pre">NULL</span></tt>.</p>
 </blockquote>
@@ -827 +828 @@
 <p>Arguments:</p>
 <ul class="simple">
-<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">input</span></tt>, a general python object.</li>
+<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">input</span></tt>, a general <a class="reference" href="http://www.python.org">python</a> object.</li>
 <li><tt class="docutils literal"><span class="pre">int</span> <span class="pre">typecode</span></tt>, the desired <a class="reference" href="http://numpy.scipy.org">NumPy</a> typecode of the resulting
 array.</li>
@@ -846 +847 @@
 </ul>
 <p>Test whether <tt class="docutils literal"><span class="pre">ary</span></tt> is contiguous.  If so, return 1.  Otherwise,
-set a python error and return 0.</p>
+set a <a class="reference" href="http://www.python.org">python</a> error and return 0.</p>
 </blockquote>
 <p><strong>require_native()</strong></p>
@@ -856 +857 @@
 </ul>
 <p>Require that <tt class="docutils literal"><span class="pre">ary</span></tt> is not byte-swapped.  If the array is not
-byte-swapped, return 1.  Otherwise, set a python error and return
-0.</p>
+byte-swapped, return 1.  Otherwise, set a <a class="reference" href="http://www.python.org">python</a> error and
+return 0.</p>
 </blockquote>
 <p><strong>require_dimensions()</strong></p>
@@ -869 +870 @@
 <p>Require <tt class="docutils literal"><span class="pre">ary</span></tt> to have a specified number of dimensions.  If the
 array has the specified number of dimensions, return 1.
-Otherwise, set a python error and return 0.</p>
+Otherwise, set a <a class="reference" href="http://www.python.org">python</a> error and return 0.</p>
 </blockquote>
 <p><strong>require_dimensions_n()</strong></p>
@@ -883 +884 @@
 <p>Require <tt class="docutils literal"><span class="pre">ary</span></tt> to have one of a list of specified number of
 dimensions.  If the array has one of the specified number of
-dimensions, return 1.  Otherwise, set the python error string and
-return 0.</p>
+dimensions, return 1.  Otherwise, set the <a class="reference" href="http://www.python.org">python</a> error string
+and return 0.</p>
 </blockquote>
 <p><strong>require_size()</strong></p>
@@ -897 +898 @@
 </ul>
 <p>Require <tt class="docutils literal"><span class="pre">ary</span></tt> to have a specified shape.  If the array has the
-specified shape, return 1.  Otherwise, set the python error string
-and return 0.</p>
+specified shape, return 1.  Otherwise, set the <a class="reference" href="http://www.python.org">python</a> error
+string and return 0.</p>
 </blockquote>
 </blockquote>
@@ -913 +914 @@
 double dot(int len, double* vec1, double* vec2);
 </pre>
-<p>The python interface that we want is:</p>
+<p>The <a class="reference" href="http://www.python.org">python</a> interface that we want is:</p>
 <pre class="literal-block">
 def dot(vec1, vec2):
@@ -923 +924 @@
 arguments, and our typemaps are set up for dimensions that apply to a
 single array (in fact, <a class="reference" href="http://www.swig.org">SWIG</a> does not provide a mechanism for
-associating <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
+associating <tt class="docutils literal"><span class="pre">len</span></tt> with <tt class="docutils literal"><span class="pre">vec2</span></tt> that takes two <a class="reference" href="http://www.python.org">python</a> input
 arguments).  The recommended solution is the following:</p>
 <pre class="literal-block">
@@ -1053 +1054 @@
 <div class="footer">
 <hr class="footer" />
-Generated on: 2007-04-13 20:37 UTC.
+Generated on: 2007-04-13 20:43 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.
 

trunk/numpy/doc/swig/numpy_swig.pdf

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