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Changeset 3714

Timestamp:

04/13/07 15:44:24 (1 year ago)

Author:

wfspotz@sandia.gov

Message:

Updated date, example function documentation and python links

Files:

trunk/numpy/doc/swig/numpy_swig.html (modified) (19 diffs)
trunk/numpy/doc/swig/numpy_swig.pdf (modified) (106 diffs)
trunk/numpy/doc/swig/numpy_swig.txt (modified) (19 diffs)

Legend:

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trunk/numpy/doc/swig/numpy_swig.html

r3713	r3714
6	6	<title>numpy.i: a SWIG Interface File for NumPy</title>
7	7	<meta name="author" content="Bill Spotz" />
8		<meta name="date" content="4 April, 2007" />
	8	<meta name="date" content="13 April, 2007" />
9	9	<style type="text/css">
10	10
…	…
303	303	</tr>
304	304	<tr><th class="docinfo-name">Date:</th>
305		<td>4 April, 2007</td></tr>
	305	<td>13 April, 2007</td></tr>
306	306	</tbody>
307	307	</table>
…	…
364	364	def rms(seq):
365	365	"""
	366	rms: return the root mean square of a sequence
366	367	rms(numpy.ndarray) -> double
367	368	rms(list) -> 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>
455	456	function. From the format string <tt class="docutils literal"><span class="pre">"O:rms"</span></tt>, we can see that the
456		argument list is expected to be a single ~~python object (specified by~~
457		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>.
458		~~A number of functions, supplied by <tt class="docutils literal"><span class="pre">numpy.i</span></tt>, are called to make an~~d
459		check 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
461		~~Functions</a>, but hopefully their names are self-explanatory. At lin~~e
462		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
463		~~check the validity of the result: that it is non-null and that it ha~~s
464		~~a single dimension of arbitrary length. Once these states ar~~e
465		verified, we extract the data buffer and length in lines 19 and 20 so
466		that we can call the underlying C function at line 22. Line 25
467		performs memory management for the case where we have created a new
468		array that is no longer needed.</p>
	457	argument list is expected to be a single <a class="reference" href="http://www.python.org">python</a> object (specified
	458	by the <tt class="docutils literal"><span class="pre">O</span></tt> before the colon) and whose pointer is stored in
	459	<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
	460	to make and check the (possible) conversion from a generic <a class="reference" href="http://www.python.org">python</a>
	461	object to a <a class="reference" href="http://numpy.scipy.org">NumPy</a> array. These functions are explained in the
	462	section <a class="reference" href="#helper-functions">Helper Functions</a>, but hopefully their names are
	463	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>
	464	array. At line 17, we check the validity of the result: that it is
	465	non-null and that it has a single dimension of arbitrary length. Once
	466	these states are verified, we extract the data buffer and length in
	467	lines 19 and 20 so that we can call the underlying C function at line
	468	22. Line 25 performs memory management for the case where we have
	469	created a new array that is no longer needed.</p>
469	470	<p>This code has a significant amount of error handling. Note the
470	471	<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
625	626	allocate a(n) array(s) on the heap, and call the function to fill the
626		array(s) values. In ~~python~~, the arrays are allocated for you and
	627	array(s) values. In <a class="reference" href="http://www.python.org">python</a>, the arrays are allocated for you and
627	628	returned as new array objects.</p>
628	629	<p>Note that we support <tt class="docutils literal"><span class="pre">DATA_TYPE*</span></tt> argout typemaps in 1D, but not 2D
629	630	or 3D. This because of a quirk with the <a class="reference" href="http://www.swig.org">SWIG</a> typemap syntax and
630	631	cannot be avoided. Note that for these types of 1D typemaps, the
631		~~python~~ function will take a single argument representing <tt class="docutils literal"><span class="pre">DIM1</span></tt>.</p>
	632	<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>
632	633	</div>
633	634	<div class="section">
…	…
697	698	seemed unlikely that there would be any independent (non-<a class="reference" href="http://www.python.org">python</a>,
698	699	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
699		generate a ~~python interface to, that also used these definitions for~~
700		complex types. More likely, these application codes will define their
701		own complex types, or in the case of C++, use <tt class="docutils literal"><span class="pre">std::complex</span></tt>.
	700	generate a <a class="reference" href="http://www.python.org">python</a> interface to, that also used these definitions
	701	for complex types. More likely, these application codes will define
	702	their own complex types, or in the case of C++, use <tt class="docutils literal"><span class="pre">std::complex</span></tt>.
702	703	Assuming these data structures are compatible with <a class="reference" href="http://www.python.org">python</a> and
703	704	<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>
752	753	<ul class="simple">
753		<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">py_obj</span></tt>, a general ~~python~~ object.</li>
	754	<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>
754	755	</ul>
755	756	<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>
784	785	<ul class="simple">
785		<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">input</span></tt>, a general ~~python~~ object.</li>
	786	<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>
786	787	<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>
787	788	</ul>
788	789	<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
789	790	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
790		<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>
	791	<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>
791	792	</blockquote>
792	793	<p><strong>obj_to_array_allow_conversion()</strong></p>
…	…
795	796	<p>Arguments:</p>
796	797	<ul class="simple">
797		<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">input</span></tt>, a general ~~python~~ object.</li>
	798	<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>
798	799	<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
799	800	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>.
804	805	On success, return a valid <tt class="docutils literal"><span class="pre">PyArrayObject*</span></tt> with the correct
805		type. On failure, the ~~python~~ error string will be set and the
	806	type. On failure, the <a class="reference" href="http://www.python.org">python</a> error string will be set and the
806	807	routine returns <tt class="docutils literal"><span class="pre">NULL</span></tt>.</p>
807	808	</blockquote>
…	…
827	828	<p>Arguments:</p>
828	829	<ul class="simple">
829		<li><tt class="docutils literal"><span class="pre">PyObject*</span> <span class="pre">input</span></tt>, a general ~~python~~ object.</li>
	830	<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>
830	831	<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
831	832	array.</li>
…	…
846	847	</ul>
847	848	<p>Test whether <tt class="docutils literal"><span class="pre">ary</span></tt> is contiguous. If so, return 1. Otherwise,
848		set a ~~python~~ error and return 0.</p>
	849	set a <a class="reference" href="http://www.python.org">python</a> error and return 0.</p>
849	850	</blockquote>
850	851	<p><strong>require_native()</strong></p>
…	…
856	857	</ul>
857	858	<p>Require that <tt class="docutils literal"><span class="pre">ary</span></tt> is not byte-swapped. If the array is not
858		byte-swapped, return 1. Otherwise, set a ~~python error and return~~
859		0.</p>
	859	byte-swapped, return 1. Otherwise, set a <a class="reference" href="http://www.python.org">python</a> error and
	860	return 0.</p>
860	861	</blockquote>
861	862	<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
870	871	array has the specified number of dimensions, return 1.
871		Otherwise, set a ~~python~~ error and return 0.</p>
	872	Otherwise, set a <a class="reference" href="http://www.python.org">python</a> error and return 0.</p>
872	873	</blockquote>
873	874	<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
884	885	dimensions. If the array has one of the specified number of
885		dimensions, return 1. Otherwise, set the ~~python error string and~~
886		return 0.</p>
	886	dimensions, return 1. Otherwise, set the <a class="reference" href="http://www.python.org">python</a> error string
	887	and return 0.</p>
887	888	</blockquote>
888	889	<p><strong>require_size()</strong></p>
…	…
897	898	</ul>
898	899	<p>Require <tt class="docutils literal"><span class="pre">ary</span></tt> to have a specified shape. If the array has the
899		specified shape, return 1. Otherwise, set the ~~python error string~~
900		and return 0.</p>
	900	specified shape, return 1. Otherwise, set the <a class="reference" href="http://www.python.org">python</a> error
	901	string and return 0.</p>
901	902	</blockquote>
902	903	</blockquote>
…	…
913	914	double dot(int len, double* vec1, double* vec2);
914	915	</pre>
915		<p>The ~~python~~ interface that we want is:</p>
	916	<p>The <a class="reference" href="http://www.python.org">python</a> interface that we want is:</p>
916	917	<pre class="literal-block">
917	918	def dot(vec1, vec2):
…	…
923	924	arguments, and our typemaps are set up for dimensions that apply to a
924	925	single array (in fact, <a class="reference" href="http://www.swig.org">SWIG</a> does not provide a mechanism for
925		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
	926	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
926	927	arguments). The recommended solution is the following:</p>
927	928	<pre class="literal-block">
…	…
1053	1054	<div class="footer">
1054	1055	<hr class="footer" />
1055		Generated on: 2007-04-13 20:37 UTC.
	1056	Generated on: 2007-04-13 20:43 UTC.
1056	1057	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.
1057	1058

trunk/numpy/doc/swig/numpy_swig.pdf

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