[Numpy-svn] r3594 - trunk/numpy/doc/swig

numpy-svn@scip... numpy-svn@scip...
Sat Mar 24 15:34:12 CDT 2007


Author: wfspotz@sandia.gov
Date: 2007-03-24 15:34:05 -0500 (Sat, 24 Mar 2007)
New Revision: 3594

Modified:
   trunk/numpy/doc/swig/Series.i
   trunk/numpy/doc/swig/numpy.i
   trunk/numpy/doc/swig/numpy_swig.html
   trunk/numpy/doc/swig/numpy_swig.pdf
   trunk/numpy/doc/swig/numpy_swig.txt
   trunk/numpy/doc/swig/series.cxx
   trunk/numpy/doc/swig/series.h
   trunk/numpy/doc/swig/testSeries.py
Log:
Added typemaps for signatures (TYPE IN_ARRAY1[ANY]) and (TYPE IN_ARRAY2[ANY][ANY])

Modified: trunk/numpy/doc/swig/Series.i
===================================================================
--- trunk/numpy/doc/swig/Series.i	2007-03-23 18:04:37 UTC (rev 3593)
+++ trunk/numpy/doc/swig/Series.i	2007-03-24 20:34:05 UTC (rev 3594)
@@ -15,13 +15,15 @@
 
 %define %apply_numpy_typemaps(TYPE)
 
+%apply (TYPE IN_ARRAY1[ANY]) {(TYPE vector[ANY])};
 %apply (TYPE* IN_ARRAY1, int DIM1) {(TYPE* series, int size)};
+%apply (int DIM1, TYPE* IN_ARRAY1) {(int size, TYPE* series)};
+%apply (TYPE IN_ARRAY2[ANY][ANY]) {(TYPE matrix[ANY][ANY])};
 %apply (TYPE* IN_ARRAY2, int DIM1, int DIM2) {(TYPE* matrix, int rows, int cols)};
+%apply (int DIM1, int DIM2, TYPE* IN_ARRAY2) {(int rows, int cols, TYPE* matrix)};
 %apply (TYPE* INPLACE_ARRAY1, int DIM1) {(TYPE* array, int size)};
+%apply (int DIM1, TYPE* INPLACE_ARRAY1) {(int size, TYPE* array)};
 %apply (TYPE* INPLACE_ARRAY2, int DIM1, int DIM2) {(TYPE* array, int rows, int cols)};
-%apply (int DIM1, TYPE* IN_ARRAY1) {(int size, TYPE* series)};
-%apply (int DIM1, int DIM2, TYPE* IN_ARRAY2) {(int rows, int cols, TYPE* matrix)};
-%apply (int DIM1, TYPE* INPLACE_ARRAY1) {(int size, TYPE* array)};
 %apply (int DIM1, int DIM2, TYPE* INPLACE_ARRAY2) {(int rows, int cols, TYPE* array)};
 
 %enddef    /* %apply_numpy_typemaps() macro */

Modified: trunk/numpy/doc/swig/numpy.i
===================================================================
--- trunk/numpy/doc/swig/numpy.i	2007-03-23 18:04:37 UTC (rev 3593)
+++ trunk/numpy/doc/swig/numpy.i	2007-03-24 20:34:05 UTC (rev 3594)
@@ -302,18 +302,26 @@
  * This macro defines a family of typemaps that allow pure input C
  * arguments of the form
  *
+ *     (DATA_TYPE IN_ARRAY1[ANY])
+ *
  *     (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
+ *     (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
+ *
+ *     (DATA_TYPE IN_ARRAY2[ANY][ANY])
+ *
  *     (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ *     (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
+ *
  *     (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
+ *     (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
+ *
  *     (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- *     (DATA_TYPE* ARGOUT_ARRAY1[ANY])
- *     (DATA_TYPE* ARGOUT_ARRAY2[ANY][ANY])
+ *     (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
  *
- *     (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
- *     (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
- *     (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
- *     (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY1)
+ *     (DATA_TYPE ARGOUT_ARRAY1[ANY])
  *
+ *     (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
+ *
  * where "DATA_TYPE" is any type supported by the NumPy module.  In python,
  * the dimensions will not need to be specified.  The IN_ARRAYs can be
  * a numpy array or any sequence that can be converted to a numpy
@@ -324,49 +332,84 @@
  * These typemaps can be applied to existing functions using the
  * %apply directive:
  *
+ *     %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 (double* IN_ARRAY2, int DIM1, int DIM2) {(double* mx, int rows, int cols)};
- *     double max(double* mx, int rows, int cols);
+ *     %apply (int DIM1, double* IN_ARRAY1) {(int length, double* series)}
+ *     double sum(int length, double* series)
  *
+ *     %apply (double IN_ARRAY2[ANY][ANY]) {(double matrix[2][2])};
+ *     double det(double matrix[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, int DIM1) {(double* series, int length)};
  *     void ones(double* series, int length);
  *
- *     %apply (double* INPLACE_ARRAY2, int DIM1, int DIM2) {(double* mx, int rows, int cols)};
- *     void floor(double* mx, int rows, int cols);
+ *     %apply (int DIM1, double* INPLACE_ARRAY1) {(int length, double* series)}
+ *     double zeros(int length, double* series)
  *
- *     %apply (double* ARGOUT_ARRAY1[ANY] {(double series, int length)};
+ *     %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 ARGOUT_ARRAY1[ANY] {(double series[int length])};
  *     void negate(double* series, int length);
  *
- *     %apply (double* ARGOUT_ARRAY2[ANY][ANY]) {(double* mx, int rows, int cols)};
- *     void normalize(double* mx, int rows, int cols);
+ *     %apply (double ARGOUT_ARRAY2[ANY][ANY]) {(double matrix[int rows][int cols])};
+ *     void normalize(double* matrix, int rows, int cols);
  *
- *     %apply (int DIM1, double* IN_ARRAY1) {(int length, double* series)}
- *     double sum(int length, double* series)
+ * or directly with
  *
- *     %apply (int DIM1, int DIM2, double* IN_ARRAY2) {(int rows, int cols, double* matrix)}
- *     double min(int length, double* series)
+ *     double length(double IN_ARRAY[ANY]);
  *
- *     %apply (int DIM1, double* INPLACE_ARRAY1) {(int length, double* series)}
- *     double zeros(int length, double* series)
+ *     double prod(double* IN_ARRAY1, int DIM1);
+ *     double sum( int DIM1, double* IN_ARRAY1)
  *
- * or directly with
+ *     double det(double IN_ARRAY2[ANY][ANY]);
  *
- *     double prod(double* IN_ARRAY1, int DIM1);
  *     double max(double* IN_ARRAY2, int DIM1, int DIM2);
- *     void ones(double* INPLACE_ARRAY1, int DIM1);
- *     void floor(double* INPLACE_ARRAY2, int DIM1, int DIM2);
- *     void negate(double* ARGOUT_ARRAY1[ANY]);
- *     void normalize(double* ARGOUT_ARRAY2[ANY][ANY]);
+ *     double min(int DIM1, int DIM2, double* IN_ARRAY2)
  *
- *     double sum(int DIM1, double* IN_ARRAY1)
- *     double min(int DIM1, int DIM2, double* IN_ARRAY2)
+ *     void ones( double* INPLACE_ARRAY1, int DIM1);
  *     void zeros(int DIM1, double* INPLACE_ARRAY1)
+ *
+ *     void floor(double* INPLACE_ARRAY2, int DIM1, int DIM2, double floor);
+ *     void ceil( int DIM1, int DIM2, double* INPLACE_ARRAY2, double ceil );
+ *
+ *     void negate(double ARGOUT_ARRAY1[ANY]);
+ *
+ *     void normalize(double ARGOUT_ARRAY2[ANY][ANY]);
  */
 
 %define %numpy_typemaps(DATA_TYPE, DATA_TYPECODE, DIM_TYPE)
 
+/* Typemap suite for (DATA_TYPE IN_ARRAY1[ANY])
+ */
+%typemap(in)
+  (DATA_TYPE IN_ARRAY1[ANY])
+  (PyArrayObject* array=NULL, int is_new_object=0)
+{
+  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE, &is_new_object);
+  npy_intp size[1] = { $1_dim0 };
+  if (!array || !require_dimensions(array, 1) || !require_size(array, size, 1)) SWIG_fail;
+  $1 = ($1_ltype) array->data;
+}
+%typemap(freearg)
+  (DATA_TYPE IN_ARRAY1[ANY])
+{
+  if (is_new_object$argnum && array$argnum) Py_DECREF(array$argnum);
+}
+
 /* Typemap suite for (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
  */
 %typemap(in)
@@ -374,7 +417,7 @@
   (PyArrayObject* array=NULL, int is_new_object=0)
 {
   array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE, &is_new_object);
-  npy_intp size[1] = {-1};
+  npy_intp size[1] = { -1 };
   if (!array || !require_dimensions(array, 1) || !require_size(array, size, 1)) SWIG_fail;
   $1 = (DATA_TYPE*) array->data;
   $2 = (DIM_TYPE) array->dimensions[0];
@@ -385,6 +428,41 @@
   if (is_new_object$argnum && array$argnum) Py_DECREF(array$argnum);
 }
 
+/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
+ */
+%typemap(in)
+  (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
+  (PyArrayObject* array=NULL, int is_new_object=0)
+{
+  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE, &is_new_object);
+  npy_intp size[1] = {-1};
+  if (!array || !require_dimensions(array, 1) || !require_size(array, size, 1)) SWIG_fail;
+  $1 = (DIM_TYPE) array->dimensions[0];
+  $2 = (DATA_TYPE*) array->data;
+}
+%typemap(freearg)
+  (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
+{
+  if (is_new_object$argnum && array$argnum) Py_DECREF(array$argnum);
+}
+
+/* Typemap suite for (DATA_TYPE IN_ARRAY2[ANY][ANY])
+ */
+%typemap(in)
+  (DATA_TYPE IN_ARRAY2[ANY][ANY])
+  (PyArrayObject* array=NULL, int is_new_object=0)
+{
+  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE, &is_new_object);
+  npy_intp size[2] = { $1_dim0, $1_dim1 };
+  if (!array || !require_dimensions(array, 2) || !require_size(array, size, 2)) SWIG_fail;
+  $1 = ($1_ltype) array->data;
+}
+%typemap(freearg)
+  (DATA_TYPE IN_ARRAY2[ANY][ANY])
+{
+  if (is_new_object$argnum && array$argnum) Py_DECREF(array$argnum);
+}
+
 /* Typemap suite for (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
  */
 %typemap(in)
@@ -404,6 +482,25 @@
   if (is_new_object$argnum && array$argnum) Py_DECREF(array$argnum);
 }
 
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
+ */
+%typemap(in)
+  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
+  (PyArrayObject* array=NULL, int is_new_object=0)
+{
+  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE, &is_new_object);
+  npy_intp size[2] = {-1,-1};
+  if (!array || !require_dimensions(array, 2) || !require_size(array, size, 1)) SWIG_fail;
+  $1 = (DIM_TYPE) array->dimensions[0];
+  $2 = (DIM_TYPE) array->dimensions[1];
+  $3 = (DATA_TYPE*) array->data;
+}
+%typemap(freearg)
+  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
+{
+  if (is_new_object$argnum && array$argnum) Py_DECREF(array$argnum);
+}
+
 /* Typemap suite for (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
  */
 %typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY)
@@ -422,6 +519,24 @@
   for (int i=0; i<temp->nd; ++i) $2 *= temp->dimensions[i];
 }
 
+/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY)
+  (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
+{
+  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),DATA_TYPECODE);
+}
+%typemap(in)
+  (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
+  (PyArrayObject* temp=NULL)
+{
+  temp = obj_to_array_no_conversion($input, DATA_TYPECODE);
+  if (!temp  || !require_contiguous(temp)) SWIG_fail;
+  $1 = 1;
+  for (int i=0; i<temp->nd; ++i) $1 *= temp->dimensions[i];
+  $2 = (DATA_TYPE*) temp->data;
+}
+
 /* Typemap suite for (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
  */
 %typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY)
@@ -440,6 +555,24 @@
   $3 = (DIM_TYPE) temp->dimensions[1];
 }
 
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY)
+  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
+{
+  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),DATA_TYPECODE);
+}
+%typemap(in)
+  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
+  (PyArrayObject* temp=NULL)
+{
+  temp = obj_to_array_no_conversion($input, DATA_TYPECODE);
+  if (!temp || !require_contiguous(temp)) SWIG_fail;
+  $1 = (DIM_TYPE) temp->dimensions[0];
+  $2 = (DIM_TYPE) temp->dimensions[1];
+  $3 = (DATA_TYPE*) temp->data;
+}
+
 /* Typemap suite for (DATA_TYPE ARGOUT_ARRAY1[ANY])
  */
 %typemap(in,numinputs=0)
@@ -496,79 +629,6 @@
   }
 }
 
-/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
- */
-%typemap(in)
-  (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE, &is_new_object);
-  npy_intp size[1] = {-1};
-  if (!array || !require_dimensions(array, 1) || !require_size(array, size, 1)) SWIG_fail;
-  $1 = (DIM_TYPE) array->dimensions[0];
-  $2 = (DATA_TYPE*) array->data;
-}
-%typemap(freearg)
-  (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
-{
-  if (is_new_object$argnum && array$argnum) Py_DECREF(array$argnum);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
- */
-%typemap(in)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE, &is_new_object);
-  npy_intp size[2] = {-1,-1};
-  if (!array || !require_dimensions(array, 2) || !require_size(array, size, 1)) SWIG_fail;
-  $1 = (DIM_TYPE) array->dimensions[0];
-  $2 = (DIM_TYPE) array->dimensions[1];
-  $3 = (DATA_TYPE*) array->data;
-}
-%typemap(freearg)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
-{
-  if (is_new_object$argnum && array$argnum) Py_DECREF(array$argnum);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY)
-  (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),DATA_TYPECODE);
-}
-%typemap(in)
-  (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
-  (PyArrayObject* temp=NULL)
-{
-  temp = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!temp  || !require_contiguous(temp)) SWIG_fail;
-  $1 = 1;
-  for (int i=0; i<temp->nd; ++i) $1 *= temp->dimensions[i];
-  $2 = (DATA_TYPE*) temp->data;
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),DATA_TYPECODE);
-}
-%typemap(in)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
-  (PyArrayObject* temp=NULL)
-{
-  temp = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!temp || !require_contiguous(temp)) SWIG_fail;
-  $1 = (DIM_TYPE) temp->dimensions[0];
-  $2 = (DIM_TYPE) temp->dimensions[1];
-  $3 = (DATA_TYPE*) temp->data;
-}
-
 %enddef    /* %numpy_typemaps() macro */
 
 

Modified: trunk/numpy/doc/swig/numpy_swig.html
===================================================================
--- trunk/numpy/doc/swig/numpy_swig.html	2007-03-23 18:04:37 UTC (rev 3593)
+++ trunk/numpy/doc/swig/numpy_swig.html	2007-03-24 20:34:05 UTC (rev 3594)
@@ -485,9 +485,11 @@
 of array.  The input array signatures are</p>
 <blockquote>
 <ul class="simple">
+<li><tt class="docutils literal"><span class="pre">(DATA_TYPE</span> <span class="pre">IN_ARRAY[ANY])</span></tt></li>
 <li><tt class="docutils literal"><span class="pre">(DATA_TYPE*</span> <span class="pre">IN_ARRAY1,</span> <span class="pre">int</span> <span class="pre">DIM1)</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">(int</span> <span class="pre">DIM1,</span> <span class="pre">DATA_TYPE*</span> <span class="pre">IN_ARRAY1)</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">(DATA_TYPE</span> <span class="pre">IN_ARRAY[ANY])</span></tt></li>
 <li><tt class="docutils literal"><span class="pre">(DATA_TYPE*</span> <span class="pre">IN_ARRAY2,</span> <span class="pre">int</span> <span class="pre">DIM1,</span> <span class="pre">int</span> <span class="pre">DIM2)</span></tt></li>
-<li><tt class="docutils literal"><span class="pre">(int</span> <span class="pre">DIM1,</span> <span class="pre">DATA_TYPE*</span> <span class="pre">IN_ARRAY1)</span></tt></li>
 <li><tt class="docutils literal"><span class="pre">(int</span> <span class="pre">DIM1,</span> <span class="pre">int</span> <span class="pre">DIM2,</span> <span class="pre">DATA_TYPE*</span> <span class="pre">IN_ARRAY2)</span></tt></li>
 </ul>
 </blockquote>
@@ -502,8 +504,8 @@
 <blockquote>
 <ul class="simple">
 <li><tt class="docutils literal"><span class="pre">(DATA_TYPE*</span> <span class="pre">INPLACE_ARRAY1,</span> <span class="pre">int</span> <span class="pre">DIM1)</span></tt></li>
+<li><tt class="docutils literal"><span class="pre">(int</span> <span class="pre">DIM1,</span> <span class="pre">DATA_TYPE*</span> <span class="pre">INPLACE_ARRAY1)</span></tt></li>
 <li><tt class="docutils literal"><span class="pre">(DATA_TYPE*</span> <span class="pre">INPLACE_ARRAY2,</span> <span class="pre">int</span> <span class="pre">DIM1,</span> <span class="pre">int</span> <span class="pre">DIM2)</span></tt></li>
-<li><tt class="docutils literal"><span class="pre">(int</span> <span class="pre">DIM1,</span> <span class="pre">DATA_TYPE*</span> <span class="pre">INPLACE_ARRAY1)</span></tt></li>
 <li><tt class="docutils literal"><span class="pre">(int</span> <span class="pre">DIM1,</span> <span class="pre">int</span> <span class="pre">DIM2,</span> <span class="pre">DATA_TYPE*</span> <span class="pre">INPLACE_ARRAY2)</span></tt></li>
 </ul>
 </blockquote>
@@ -708,7 +710,7 @@
 </div>
 <div class="footer">
 <hr class="footer" />
-Generated on: 2007-03-23 12:04 UTC.
+Generated on: 2007-03-24 20:29 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/numpy_swig.pdf
===================================================================
--- trunk/numpy/doc/swig/numpy_swig.pdf	2007-03-23 18:04:37 UTC (rev 3593)
+++ trunk/numpy/doc/swig/numpy_swig.pdf	2007-03-24 20:34:05 UTC (rev 3594)
@@ -479,17 +479,26 @@
 /ProcSet [ /PDF /Text ]
 >> endobj
 154 0 obj <<
-/Length 2802      
+/Length 2867      
 /Filter /FlateDecode
 >>
 stream
-xÚÍ[Yã6~Ÿ_á—ìÍH/‘ÌÛd6	²Èv‚ ó$Aàq»Ķzíî™ô¿ß"Y¤HJ¢<Gµu|¬*Uë 5dÑÀ?²¼æ©tݶ‚,6ûÍâž}÷‚ †ó¶æ¢•p1ò´´©UÛÒEùúòÅ—ß
-º ¤Ö~/¯{^-©e«åâòê·å÷+²<Ü?>¬*&Åò\ë£Ë'8=­þ¸ü÷—ߪ…®uK[C¤YTDÕL7ú ¨{8á04h³\
8Ö+*‘< îÁ֝_™ÓßÂ
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 trailer
 <<
 /Size 238
 /Root 236 0 R
 /Info 237 0 R
-/ID [<D956596DBB17048F6AF4523CB9CC3418> <D956596DBB17048F6AF4523CB9CC3418>]
+/ID [<B05210FFE40F81D6FA81BC0E256235F3> <B05210FFE40F81D6FA81BC0E256235F3>]
 >>
 startxref
-110484
+110440
 %%EOF

Modified: trunk/numpy/doc/swig/numpy_swig.txt
===================================================================
--- trunk/numpy/doc/swig/numpy_swig.txt	2007-03-23 18:04:37 UTC (rev 3593)
+++ trunk/numpy/doc/swig/numpy_swig.txt	2007-03-24 20:34:05 UTC (rev 3594)
@@ -174,9 +174,11 @@
 sequence (such as a list) that can be converted to the requested type
 of array.  The input array signatures are
 
+  * ``(DATA_TYPE IN_ARRAY[ANY])``
   * ``(DATA_TYPE* IN_ARRAY1, int DIM1)``
+  * ``(int DIM1, DATA_TYPE* IN_ARRAY1)``
+  * ``(DATA_TYPE IN_ARRAY[ANY])``
   * ``(DATA_TYPE* IN_ARRAY2, int DIM1, int DIM2)``
-  * ``(int DIM1, DATA_TYPE* IN_ARRAY1)``
   * ``(int DIM1, int DIM2, DATA_TYPE* IN_ARRAY2)``
 
 In-Place Arrays
@@ -189,8 +191,8 @@
 signatures are
 
   * ``(DATA_TYPE* INPLACE_ARRAY1, int DIM1)``
+  * ``(int DIM1, DATA_TYPE* INPLACE_ARRAY1)``
   * ``(DATA_TYPE* INPLACE_ARRAY2, int DIM1, int DIM2)``
-  * ``(int DIM1, DATA_TYPE* INPLACE_ARRAY1)``
   * ``(int DIM1, int DIM2, DATA_TYPE* INPLACE_ARRAY2)``
 
 Argout Arrays

Modified: trunk/numpy/doc/swig/series.cxx
===================================================================
--- trunk/numpy/doc/swig/series.cxx	2007-03-23 18:04:37 UTC (rev 3593)
+++ trunk/numpy/doc/swig/series.cxx	2007-03-24 20:34:05 UTC (rev 3594)
@@ -5,6 +5,7 @@
 
 // The following macro defines a family of functions with the forms
 //
+//     TYPE SNAMELength(TYPE vector[3]);
 //     TYPE SNAMEProd( TYPE * series, int size);
 //     void SNAMEOnes( TYPE * array,  int size);
 //     TYPE SNAMEMax(  TYPE * matrix, int rows, int cols);
@@ -20,27 +21,49 @@
 // TYPE/SNAME pairs.  The resulting functions are for testing numpy
 // interfaces, respectively, for:
 //
+//  * 1D input arrays, hard-coded length
 //  * 1D input arrays
+//  * 1D input arrays, data last
 //  * 1D in-place arrays
+//  * 1D in-place arrays, data last
+//  * 2D input arrays, hard-coded length
 //  * 2D input arrays
+//  * 2D input arrays, data last
 //  * 2D in-place arrays
-//  * 1D input arrays, data last
-//  * 1D in-place arrays, data last
-//  * 2D input arrays, data last
 //  * 2D in-place arrays, data last
 //
 #define TEST_FUNCS(TYPE, SNAME) \
 \
+TYPE SNAME ## Length(TYPE vector[3]) {                   \
+  double result = 0;                                     \
+  for (int i=0; i<3; ++i) result += vector[i]*vector[i]; \
+  return (TYPE)sqrt(result);   			         \
+}                                                        \
+\
 TYPE SNAME ## Prod(TYPE * series, int size) {     \
   TYPE result = 1;                                \
   for (int i=0; i<size; ++i) result *= series[i]; \
   return result;                                  \
 }                                                 \
 \
+TYPE SNAME ## Sum(int size, TYPE * series) {      \
+  TYPE result = 0;                                \
+  for (int i=0; i<size; ++i) result += series[i]; \
+  return result;                                  \
+}                                                 \
+\
 void SNAME ## Ones(TYPE * array, int size) { \
   for (int i=0; i<size; ++i) array[i] = 1;   \
 }                                            \
 \
+void SNAME ## Zeros(int size, TYPE * array) { \
+  for (int i=0; i<size; ++i) array[i] = 0;    \
+}                                             \
+\
+TYPE SNAME ## Det(TYPE matrix[2][2]) {                          \
+  return matrix[0][0]*matrix[1][1] - matrix[0][1]*matrix[1][0]; \
+}                                                               \
+\
 TYPE SNAME ## Max(TYPE * matrix, int rows, int cols) {	  \
   int i, j, index;                                        \
   TYPE result = matrix[0];                                \
@@ -53,26 +76,6 @@
   return result;                                          \
 }                                                         \
 \
-void SNAME ## Floor(TYPE * array, int rows, int cols, TYPE floor) { \
-  int i, j, index;                                                  \
-  for (j=0; j<cols; ++j) {                                          \
-    for (i=0; i<rows; ++i) {                                        \
-      index = j*rows + i;                                           \
-      if (array[index] < floor) array[index] = floor;               \
-    }                                                               \
-  }                                                                 \
-}                                                                   \
-\
-TYPE SNAME ## Sum(int size, TYPE * series) {      \
-  TYPE result = 0;                                \
-  for (int i=0; i<size; ++i) result += series[i]; \
-  return result;                                  \
-}                                                 \
-\
-void SNAME ## Zeros(int size, TYPE * array) { \
-  for (int i=0; i<size; ++i) array[i] = 0;    \
-}                                             \
-\
 TYPE SNAME ## Min(int rows, int cols, TYPE * matrix) {    \
   int i, j, index;                                        \
   TYPE result = matrix[0];                                \
@@ -85,6 +88,16 @@
   return result;                                          \
 }                                                         \
 \
+void SNAME ## Floor(TYPE * array, int rows, int cols, TYPE floor) { \
+  int i, j, index;                                                  \
+  for (j=0; j<cols; ++j) {                                          \
+    for (i=0; i<rows; ++i) {                                        \
+      index = j*rows + i;                                           \
+      if (array[index] < floor) array[index] = floor;               \
+    }                                                               \
+  }                                                                 \
+}                                                                   \
+\
 void SNAME ## Ceil(int rows, int cols, TYPE * array, TYPE ceil) { \
   int i, j, index;                                                \
   for (j=0; j<cols; ++j) {                                        \

Modified: trunk/numpy/doc/swig/series.h
===================================================================
--- trunk/numpy/doc/swig/series.h	2007-03-23 18:04:37 UTC (rev 3593)
+++ trunk/numpy/doc/swig/series.h	2007-03-24 20:34:05 UTC (rev 3594)
@@ -4,14 +4,16 @@
 // The following macro defines the prototypes for a family of
 // functions with the forms
 //
-//     TYPE SNAMEProd( TYPE * series, int size);
-//     void SNAMEOnes( TYPE * array,  int size);
-//     TYPE SNAMEMax(  TYPE * matrix, int rows, int cols);
-//     void SNAMEFloor(TYPE * array,  int rows, int cols, TYPE floor);
-//     TYPE SNAMESum(  int size, TYPE * series);
-//     void SNAMEZeros(int size, TYPE * array);
-//     TYPE SNAMEMin(  int rows, int cols, TYPE * matrix);
-//     void SNAMECeil( int rows, int cols, TYPE * array,  TYPE ceil);
+//     TYPE SNAMELength(TYPE vector[3]);
+//     TYPE SNAMEProd(  TYPE * series, int size);
+//     TYPE SNAMESum(   int size, TYPE * series);
+//     void SNAMEOnes(  TYPE * array,  int size);
+//     void SNAMEZeros( int size, TYPE * array);
+//     TYPE SNAMEDet(   TYPE matrix[2][2]);
+//     TYPE SNAMEMax(   TYPE * matrix, int rows, int cols);
+//     TYPE SNAMEMin(   int rows, int cols, TYPE * matrix);
+//     void SNAMEFloor( TYPE * array,  int rows, int cols, TYPE floor);
+//     void SNAMECeil(  int rows, int cols, TYPE * array,  TYPE ceil );
 //
 // for any specified type TYPE (for example: short, unsigned int, long
 // long, etc.) with given short name SNAME (for example: short, uint,
@@ -19,25 +21,29 @@
 // TYPE/SNAME pairs.  The resulting functions are for testing numpy
 // interfaces, respectively, for:
 //
+//  * 1D input arrays, hard-coded length
 //  * 1D input arrays
+//  * 1D input arrays, data last
 //  * 1D in-place arrays
+//  * 1D in-place arrays, data last
+//  * 2D input arrays, hard-coded lengths
 //  * 2D input arrays
+//  * 2D input arrays, data last
 //  * 2D in-place arrays
-//  * 1D input arrays, data last
-//  * 1D in-place arrays, data last
-//  * 2D input arrays, data last
 //  * 2D in-place arrays, data last
 //
 #define TEST_FUNC_PROTOS(TYPE, SNAME) \
 \
+TYPE SNAME ## Length(TYPE vector[3]); \
 TYPE SNAME ## Prod( TYPE * series, int size); \
+TYPE SNAME ## Sum(  int size, TYPE * series); \
 void SNAME ## Ones( TYPE * array,  int size); \
+void SNAME ## Zeros(int size, TYPE * array); \
+TYPE SNAME ## Det(  TYPE matrix[2][2]); \
 TYPE SNAME ## Max(  TYPE * matrix, int rows, int cols); \
-void SNAME ## Floor(TYPE * array,  int rows, int cols, TYPE floor); \
-TYPE SNAME ## Sum(  int size, TYPE * series); \
-void SNAME ## Zeros(int size, TYPE * array); \
 TYPE SNAME ## Min(  int rows, int cols, TYPE * matrix); \
-void SNAME ## Ceil( int rows, int cols, TYPE * array, TYPE ceil);
+void SNAME ## Floor(TYPE * array, int rows, int cols, TYPE floor); \
+void SNAME ## Ceil( int rows, int cols, TYPE * array, TYPE ceil );
 
 TEST_FUNC_PROTOS(signed char       , schar    )
 TEST_FUNC_PROTOS(unsigned char     , uchar    )

Modified: trunk/numpy/doc/swig/testSeries.py
===================================================================
--- trunk/numpy/doc/swig/testSeries.py	2007-03-23 18:04:37 UTC (rev 3593)
+++ trunk/numpy/doc/swig/testSeries.py	2007-03-24 20:34:05 UTC (rev 3594)
@@ -24,6 +24,14 @@
 
     ####################################################
     ### Test functions that take arrays of type BYTE ###
+    def testScharLength(self):
+        "Test scharLength function"
+        self.assertEquals(Series.scharLength([5, 12, 0]), 13)
+
+    def testScharLengthBad(self):
+        "Test scharLength function for wrong size"
+        self.assertRaises(TypeError, Series.scharLength, [5, 12])
+
     def testScharProd(self):
         "Test scharProd function"
         self.assertEquals(Series.scharProd([1,2,3,4]), 24)
@@ -32,12 +40,27 @@
         "Test scharProd function with None"
         self.assertRaises(TypeError, Series.scharProd, None)
 
+    def testScharSum(self):
+        "Test scharSum function"
+        self.assertEquals(Series.scharSum([-5,6,-7,8]), 2)
+
     def testScharOnes(self):
         "Test scharOnes function"
         myArray = N.zeros(5,'b')
         Series.scharOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testScharZeros(self):
+        "Test scharZeros function"
+        myArray = N.ones(5,'b')
+        Series.scharZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testScharDet(self):
+        "Test scharDet function"
+        matrix = [[6,7],[8,9]]
+        self.assertEquals(Series.scharDet(matrix), -2)
+
     def testScharMax(self):
         "Test scharMax function"
         matrix = [[-6,5,-4],[3,-2,1]]
@@ -51,27 +74,17 @@
         "Test scharMax function with a 1D array"
         self.assertRaises(TypeError, Series.scharMax, [0, -1, 2, -3])
 
+    def testScharMin(self):
+        "Test scharMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.scharMin(matrix), 4)
+
     def testScharFloor(self):
         "Test scharFloor function"
         matrix = N.array([[10,-2],[-6,7]],'b')
         Series.scharFloor(matrix,0)
         N.testing.assert_array_equal(matrix, N.array([[10,0],[0,7]]))
 
-    def testScharSum(self):
-        "Test scharSum function"
-        self.assertEquals(Series.scharSum([-5,6,-7,8]), 2)
-
-    def testScharZeros(self):
-        "Test scharZeros function"
-        myArray = N.ones(5,'b')
-        Series.scharZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testScharMin(self):
-        "Test scharMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.scharMin(matrix), 4)
-
     def testScharCeil(self):
         "Test scharCeil function"
         matrix = N.array([[10,-2],[-6,7]],'b')
@@ -80,6 +93,14 @@
 
     #####################################################
     ### Test functions that take arrays of type UBYTE ###
+    def testUcharLength(self):
+        "Test ucharLength function"
+        self.assertEquals(Series.ucharLength([5, 12, 0]), 13)
+
+    def testUcharLengthBad(self):
+        "Test ucharLength function for wrong size"
+        self.assertRaises(TypeError, Series.ucharLength, [5, 12])
+
     def testUcharProd(self):
         "Test ucharProd function"
         self.assertEquals(Series.ucharProd([1,2,3,4]), 24)
@@ -88,12 +109,27 @@
         "Test ucharProd function with None"
         self.assertRaises(TypeError, Series.ucharProd, None)
 
+    def testUcharSum(self):
+        "Test ucharSum function"
+        self.assertEquals(Series.ucharSum([5,6,7,8]), 26)
+
     def testUcharOnes(self):
         "Test ucharOnes function"
         myArray = N.zeros(5,'B')
         Series.ucharOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testUcharZeros(self):
+        "Test ucharZeros function"
+        myArray = N.ones(5,'B')
+        Series.ucharZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testUcharDet(self):
+        "Test ucharDet function"
+        matrix = [[7,6],[9,8]]
+        self.assertEquals(Series.ucharDet(matrix), 2)
+
     def testUcharMax(self):
         "Test ucharMax function"
         matrix = [[6,5,4],[3,2,1]]
@@ -107,27 +143,17 @@
         "Test ucharMax function with a 1D array"
         self.assertRaises(TypeError, Series.ucharMax, [0, 1, 2, 3])
 
+    def testUcharMin(self):
+        "Test ucharMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.ucharMin(matrix), 4)
+
     def testUcharFloor(self):
         "Test ucharFloor function"
         matrix = N.array([[10,2],[6,7]],'B')
         Series.ucharFloor(matrix,7)
         N.testing.assert_array_equal(matrix, N.array([[10,7],[7,7]]))
 
-    def testUcharSum(self):
-        "Test ucharSum function"
-        self.assertEquals(Series.ucharSum([5,6,7,8]), 26)
-
-    def testUcharZeros(self):
-        "Test ucharZeros function"
-        myArray = N.ones(5,'B')
-        Series.ucharZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testUcharMin(self):
-        "Test ucharMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.ucharMin(matrix), 4)
-
     def testUcharCeil(self):
         "Test ucharCeil function"
         matrix = N.array([[10,2],[6,7]],'B')
@@ -136,6 +162,14 @@
 
     #####################################################
     ### Test functions that take arrays of type SHORT ###
+    def testShortLength(self):
+        "Test shortLength function"
+        self.assertEquals(Series.shortLength([5, 12, 0]), 13)
+
+    def testShortLengthBad(self):
+        "Test shortLength function for wrong size"
+        self.assertRaises(TypeError, Series.shortLength, [5, 12])
+
     def testShortProd(self):
         "Test shortProd function"
         self.assertEquals(Series.shortProd([1,2,3,4]), 24)
@@ -144,12 +178,27 @@
         "Test shortProd function with None"
         self.assertRaises(TypeError, Series.shortProd, None)
 
+    def testShortSum(self):
+        "Test shortSum function"
+        self.assertEquals(Series.shortSum([-5,6,-7,8]), 2)
+
     def testShortOnes(self):
         "Test shortOnes function"
         myArray = N.zeros(5,'h')
         Series.shortOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testShortZeros(self):
+        "Test shortZeros function"
+        myArray = N.ones(5,'h')
+        Series.shortZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testShortDet(self):
+        "Test shortDet function"
+        matrix = [[6,7],[8,9]]
+        self.assertEquals(Series.shortDet(matrix), -2)
+
     def testShortMax(self):
         "Test shortMax function"
         matrix = [[-6,5,-4],[3,-2,1]]
@@ -163,27 +212,17 @@
         "Test shortMax function with a 1D array"
         self.assertRaises(TypeError, Series.shortMax, [0, -1, 2, -3])
 
+    def testShortMin(self):
+        "Test shortMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.shortMin(matrix), 4)
+
     def testShortFloor(self):
         "Test shortFloor function"
         matrix = N.array([[10,-2],[-6,7]],'h')
         Series.shortFloor(matrix,0)
         N.testing.assert_array_equal(matrix, N.array([[10,0],[0,7]]))
 
-    def testShortSum(self):
-        "Test shortSum function"
-        self.assertEquals(Series.shortSum([-5,6,-7,8]), 2)
-
-    def testShortZeros(self):
-        "Test shortZeros function"
-        myArray = N.ones(5,'h')
-        Series.shortZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testShortMin(self):
-        "Test shortMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.shortMin(matrix), 4)
-
     def testShortCeil(self):
         "Test shortCeil function"
         matrix = N.array([[10,-2],[-6,7]],'h')
@@ -192,6 +231,14 @@
 
     ######################################################
     ### Test functions that take arrays of type USHORT ###
+    def testUshortLength(self):
+        "Test ushortLength function"
+        self.assertEquals(Series.ushortLength([5, 12, 0]), 13)
+
+    def testUshortLengthBad(self):
+        "Test ushortLength function for wrong size"
+        self.assertRaises(TypeError, Series.ushortLength, [5, 12])
+
     def testUshortProd(self):
         "Test ushortProd function"
         self.assertEquals(Series.ushortProd([1,2,3,4]), 24)
@@ -200,12 +247,27 @@
         "Test ushortProd function with None"
         self.assertRaises(TypeError, Series.ushortProd, None)
 
+    def testUshortSum(self):
+        "Test ushortSum function"
+        self.assertEquals(Series.ushortSum([5,6,7,8]), 26)
+
     def testUshortOnes(self):
         "Test ushortOnes function"
         myArray = N.zeros(5,'H')
         Series.ushortOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testUshortZeros(self):
+        "Test ushortZeros function"
+        myArray = N.ones(5,'H')
+        Series.ushortZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testUshortDet(self):
+        "Test ushortDet function"
+        matrix = [[7,6],[9,8]]
+        self.assertEquals(Series.ushortDet(matrix), 2)
+
     def testUshortMax(self):
         "Test ushortMax function"
         matrix = [[6,5,4],[3,2,1]]
@@ -219,27 +281,17 @@
         "Test ushortMax function with a 1D array"
         self.assertRaises(TypeError, Series.ushortMax, [0, 1, 2, 3])
 
+    def testUshortMin(self):
+        "Test ushortMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.ushortMin(matrix), 4)
+
     def testUshortFloor(self):
         "Test ushortFloor function"
         matrix = N.array([[10,2],[6,7]],'H')
         Series.ushortFloor(matrix,7)
         N.testing.assert_array_equal(matrix, N.array([[10,7],[7,7]]))
 
-    def testUshortSum(self):
-        "Test ushortSum function"
-        self.assertEquals(Series.ushortSum([5,6,7,8]), 26)
-
-    def testUshortZeros(self):
-        "Test ushortZeros function"
-        myArray = N.ones(5,'H')
-        Series.ushortZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testUshortMin(self):
-        "Test ushortMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.ushortMin(matrix), 4)
-
     def testUshortCeil(self):
         "Test ushortCeil function"
         matrix = N.array([[10,2],[6,7]],'H')
@@ -248,6 +300,14 @@
 
     ###################################################
     ### Test functions that take arrays of type INT ###
+    def testIntLength(self):
+        "Test intLength function"
+        self.assertEquals(Series.intLength([5, 12, 0]), 13)
+
+    def testIntLengthBad(self):
+        "Test intLength function for wrong size"
+        self.assertRaises(TypeError, Series.intLength, [5, 12])
+
     def testIntProd(self):
         "Test intProd function"
         self.assertEquals(Series.intProd([1,2,3,4]), 24)
@@ -256,12 +316,27 @@
         "Test intProd function with None"
         self.assertRaises(TypeError, Series.intProd, None)
 
+    def testIntSum(self):
+        "Test intSum function"
+        self.assertEquals(Series.intSum([-5,6,-7,8]), 2)
+
     def testIntOnes(self):
         "Test intOnes function"
         myArray = N.zeros(5,'i')
         Series.intOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testIntZeros(self):
+        "Test intZeros function"
+        myArray = N.ones(5,'i')
+        Series.intZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testIntDet(self):
+        "Test intDet function"
+        matrix = [[6,7],[8,9]]
+        self.assertEquals(Series.intDet(matrix), -2)
+
     def testIntMax(self):
         "Test intMax function"
         matrix = [[-6,5,-4],[3,-2,1]]
@@ -275,27 +350,17 @@
         "Test intMax function with a 1D array"
         self.assertRaises(TypeError, Series.intMax, [0, -1, 2, -3])
 
+    def testIntMin(self):
+        "Test intMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.intMin(matrix), 4)
+
     def testIntFloor(self):
         "Test intFloor function"
         matrix = N.array([[10,-2],[-6,7]],'i')
         Series.intFloor(matrix,0)
         N.testing.assert_array_equal(matrix, N.array([[10,0],[0,7]]))
 
-    def testIntSum(self):
-        "Test intSum function"
-        self.assertEquals(Series.intSum([-5,6,-7,8]), 2)
-
-    def testIntZeros(self):
-        "Test intZeros function"
-        myArray = N.ones(5,'i')
-        Series.intZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testIntMin(self):
-        "Test intMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.intMin(matrix), 4)
-
     def testIntCeil(self):
         "Test intCeil function"
         matrix = N.array([[10,-2],[-6,7]],'i')
@@ -304,6 +369,15 @@
 
     ####################################################
     ### Test functions that take arrays of type UINT ###
+    def testUintLength(self):
+        "Test uintLength function"
+        self.assertEquals(Series.uintLength([5, 12, 0]), 13)
+
+    def testUintLengthBad(self):
+        "Test uintLength function for wrong size"
+
+        self.assertRaises(TypeError, Series.uintLength, [5, 12])
+
     def testUintProd(self):
         "Test uintProd function"
         self.assertEquals(Series.uintProd([1,2,3,4]), 24)
@@ -312,12 +386,27 @@
         "Test uintProd function with None"
         self.assertRaises(TypeError, Series.uintProd, None)
 
+    def testUintSum(self):
+        "Test uintSum function"
+        self.assertEquals(Series.uintSum([5,6,7,8]), 26)
+
     def testUintOnes(self):
         "Test uintOnes function"
         myArray = N.zeros(5,'I')
         Series.uintOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testUintZeros(self):
+        "Test uintZeros function"
+        myArray = N.ones(5,'I')
+        Series.uintZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testUintDet(self):
+        "Test uintDet function"
+        matrix = [[7,6],[9,8]]
+        self.assertEquals(Series.uintDet(matrix), 2)
+
     def testUintMax(self):
         "Test uintMax function"
         matrix = [[6,5,4],[3,2,1]]
@@ -331,27 +420,17 @@
         "Test uintMax function with a 1D array"
         self.assertRaises(TypeError, Series.uintMax, [0, 1, 2, 3])
 
+    def testUintMin(self):
+        "Test uintMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.uintMin(matrix), 4)
+
     def testUintFloor(self):
         "Test uintFloor function"
         matrix = N.array([[10,2],[6,7]],'I')
         Series.uintFloor(matrix,7)
         N.testing.assert_array_equal(matrix, N.array([[10,7],[7,7]]))
 
-    def testUintSum(self):
-        "Test uintSum function"
-        self.assertEquals(Series.uintSum([5,6,7,8]), 26)
-
-    def testUintZeros(self):
-        "Test uintZeros function"
-        myArray = N.ones(5,'I')
-        Series.uintZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testUintMin(self):
-        "Test uintMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.uintMin(matrix), 4)
-
     def testUintCeil(self):
         "Test uintCeil function"
         matrix = N.array([[10,2],[6,7]],'I')
@@ -360,6 +439,14 @@
 
     ####################################################
     ### Test functions that take arrays of type LONG ###
+    def testLongLength(self):
+        "Test longLength function"
+        self.assertEquals(Series.longLength([5, 12, 0]), 13)
+
+    def testLongLengthBad(self):
+        "Test longLength function for wrong size"
+        self.assertRaises(TypeError, Series.longLength, [5, 12])
+
     def testLongProd(self):
         "Test longProd function"
         self.assertEquals(Series.longProd([1,2,3,4]), 24)
@@ -368,12 +455,27 @@
         "Test longProd function with None"
         self.assertRaises(TypeError, Series.longProd, None)
 
+    def testLongSum(self):
+        "Test longSum function"
+        self.assertEquals(Series.longSum([-5,6,-7,8]), 2)
+
     def testLongOnes(self):
         "Test longOnes function"
         myArray = N.zeros(5,'l')
         Series.longOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testLongZeros(self):
+        "Test longZeros function"
+        myArray = N.ones(5,'l')
+        Series.longZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testLongDet(self):
+        "Test longDet function"
+        matrix = [[6,7],[8,9]]
+        self.assertEquals(Series.longDet(matrix), -2)
+
     def testLongMax(self):
         "Test longMax function"
         matrix = [[-6,5,-4],[3,-2,1]]
@@ -387,27 +489,17 @@
         "Test longMax function with a 1D array"
         self.assertRaises(TypeError, Series.longMax, [0, -1, 2, -3])
 
+    def testLongMin(self):
+        "Test longMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.longMin(matrix), 4)
+
     def testLongFloor(self):
         "Test longFloor function"
         matrix = N.array([[10,-2],[-6,7]],'l')
         Series.longFloor(matrix,0)
         N.testing.assert_array_equal(matrix, N.array([[10,0],[0,7]]))
 
-    def testLongSum(self):
-        "Test longSum function"
-        self.assertEquals(Series.longSum([-5,6,-7,8]), 2)
-
-    def testLongZeros(self):
-        "Test longZeros function"
-        myArray = N.ones(5,'l')
-        Series.longZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testLongMin(self):
-        "Test longMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.longMin(matrix), 4)
-
     def testLongCeil(self):
         "Test longCeil function"
         matrix = N.array([[10,-2],[-6,7]],'l')
@@ -416,6 +508,14 @@
 
     #####################################################
     ### Test functions that take arrays of type ULONG ###
+    def testUlongLength(self):
+        "Test ulongLength function"
+        self.assertEquals(Series.ulongLength([5, 12, 0]), 13)
+
+    def testUlongLengthBad(self):
+        "Test ulongLength function for wrong size"
+        self.assertRaises(TypeError, Series.ulongLength, [5, 12])
+
     def testUlongProd(self):
         "Test ulongProd function"
         self.assertEquals(Series.ulongProd([1,2,3,4]), 24)
@@ -424,12 +524,27 @@
         "Test ulongProd function with None"
         self.assertRaises(TypeError, Series.ulongProd, None)
 
+    def testUlongSum(self):
+        "Test ulongSum function"
+        self.assertEquals(Series.ulongSum([5,6,7,8]), 26)
+
     def testUlongOnes(self):
         "Test ulongOnes function"
         myArray = N.zeros(5,'L')
         Series.ulongOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testUlongZeros(self):
+        "Test ulongZeros function"
+        myArray = N.ones(5,'L')
+        Series.ulongZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testUlongDet(self):
+        "Test ulongDet function"
+        matrix = [[7,6],[9,8]]
+        self.assertEquals(Series.ulongDet(matrix), 2)
+
     def testUlongMax(self):
         "Test ulongMax function"
         matrix = [[6,5,4],[3,2,1]]
@@ -443,27 +558,17 @@
         "Test ulongMax function with a 1D array"
         self.assertRaises(TypeError, Series.ulongMax, [0, 1, 2, 3])
 
+    def testUlongMin(self):
+        "Test ulongMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.ulongMin(matrix), 4)
+
     def testUlongFloor(self):
         "Test ulongFloor function"
         matrix = N.array([[10,2],[6,7]],'L')
         Series.ulongFloor(matrix,7)
         N.testing.assert_array_equal(matrix, N.array([[10,7],[7,7]]))
 
-    def testUlongSum(self):
-        "Test ulongSum function"
-        self.assertEquals(Series.ulongSum([5,6,7,8]), 26)
-
-    def testUlongZeros(self):
-        "Test ulongZeros function"
-        myArray = N.ones(5,'L')
-        Series.ulongZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testUlongMin(self):
-        "Test ulongMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.ulongMin(matrix), 4)
-
     def testUlongCeil(self):
         "Test ulongCeil function"
         matrix = N.array([[10,2],[6,7]],'L')
@@ -472,6 +577,14 @@
 
     ########################################################
     ### Test functions that take arrays of type LONGLONG ###
+    def testLongLongLength(self):
+        "Test longLongLength function"
+        self.assertEquals(Series.longLongLength([5, 12, 0]), 13)
+
+    def testLongLongLengthBad(self):
+        "Test longLongLength function for wrong size"
+        self.assertRaises(TypeError, Series.longLongLength, [5, 12])
+
     def testLongLongProd(self):
         "Test longLongProd function"
         self.assertEquals(Series.longLongProd([1,2,3,4]), 24)
@@ -480,12 +593,27 @@
         "Test longLongProd function with None"
         self.assertRaises(TypeError, Series.longLongProd, None)
 
+    def testLongLongSum(self):
+        "Test longLongSum function"
+        self.assertEquals(Series.longLongSum([-5,6,-7,8]), 2)
+
     def testLongLongOnes(self):
         "Test longLongOnes function"
         myArray = N.zeros(5,'q')
         Series.longLongOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testLongLongZeros(self):
+        "Test longLongZeros function"
+        myArray = N.ones(5,'q')
+        Series.longLongZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testLongLongDet(self):
+        "Test longLongDet function"
+        matrix = [[6,7],[8,9]]
+        self.assertEquals(Series.longLongDet(matrix), -2)
+
     def testLongLongMax(self):
         "Test longLongMax function"
         matrix = [[-6,5,-4],[3,-2,1]]
@@ -499,27 +627,17 @@
         "Test longLongMax function with a 1D array"
         self.assertRaises(TypeError, Series.longLongMax, [0, -1, 2, -3])
 
+    def testLongLongMin(self):
+        "Test longLongMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.longLongMin(matrix), 4)
+
     def testLongLongFloor(self):
         "Test longLongFloor function"
         matrix = N.array([[10,-2],[-6,7]],'q')
         Series.longLongFloor(matrix,0)
         N.testing.assert_array_equal(matrix, N.array([[10,0],[0,7]]))
 
-    def testLongLongSum(self):
-        "Test longLongSum function"
-        self.assertEquals(Series.longLongSum([-5,6,-7,8]), 2)
-
-    def testLongLongZeros(self):
-        "Test longLongZeros function"
-        myArray = N.ones(5,'q')
-        Series.longLongZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testLongLongMin(self):
-        "Test longLongMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.longLongMin(matrix), 4)
-
     def testLongLongCeil(self):
         "Test longLongCeil function"
         matrix = N.array([[10,-2],[-6,7]],'q')
@@ -528,6 +646,14 @@
 
     #########################################################
     ### Test functions that take arrays of type ULONGLONG ###
+    def testUlongLongLength(self):
+        "Test ulongLongLength function"
+        self.assertEquals(Series.ulongLongLength([5, 12, 0]), 13)
+
+    def testUlongLongLengthBad(self):
+        "Test ulongLongLength function for wrong size"
+        self.assertRaises(TypeError, Series.ulongLongLength, [5, 12])
+
     def testUlonglongProd(self):
         "Test ulongLongProd function"
         self.assertEquals(Series.ulongLongProd([1,2,3,4]), 24)
@@ -536,12 +662,27 @@
         "Test ulongLongProd function with None"
         self.assertRaises(TypeError, Series.ulongLongProd, None)
 
+    def testUlongLongSum(self):
+        "Test ulongLongSum function"
+        self.assertEquals(Series.ulongLongSum([5,6,7,8]), 26)
+
     def testUlongLongOnes(self):
         "Test ulongLongOnes function"
         myArray = N.zeros(5,'Q')
         Series.ulongLongOnes(myArray)
         N.testing.assert_array_equal(myArray, N.array([1,1,1,1,1]))
 
+    def testUlongLongZeros(self):
+        "Test ulongLongZeros function"
+        myArray = N.ones(5,'Q')
+        Series.ulongLongZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testUlongLongDet(self):
+        "Test ulongLongDet function"
+        matrix = [[7,6],[9,8]]
+        self.assertEquals(Series.ulongLongDet(matrix), 2)
+
     def testUlongLongMax(self):
         "Test ulongLongMax function"
         matrix = [[6,5,4],[3,2,1]]
@@ -555,27 +696,17 @@
         "Test ulongLongMax function with a 1D array"
         self.assertRaises(TypeError, Series.ulongLongMax, [0, 1, 2, 3])
 
+    def testUlongLongMin(self):
+        "Test ulongLongMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.ulongLongMin(matrix), 4)
+
     def testUlongLongFloor(self):
         "Test ulongLongFloor function"
         matrix = N.array([[10,2],[6,7]],'Q')
         Series.ulongLongFloor(matrix,7)
         N.testing.assert_array_equal(matrix, N.array([[10,7],[7,7]]))
 
-    def testUlongLongSum(self):
-        "Test ulongLongSum function"
-        self.assertEquals(Series.ulongLongSum([5,6,7,8]), 26)
-
-    def testUlongLongZeros(self):
-        "Test ulongLongZeros function"
-        myArray = N.ones(5,'Q')
-        Series.ulongLongZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testUlongLongMin(self):
-        "Test ulongLongMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.ulongLongMin(matrix), 4)
-
     def testUlongLongCeil(self):
         "Test ulongLongCeil function"
         matrix = N.array([[10,2],[6,7]],'Q')
@@ -584,6 +715,14 @@
 
     #####################################################
     ### Test functions that take arrays of type FLOAT ###
+    def testFloatLength(self):
+        "Test floatLength function"
+        self.assertEquals(Series.floatLength([5, 12, 0]), 13)
+
+    def testFloatLengthBad(self):
+        "Test floatLength function for wrong size"
+        self.assertRaises(TypeError, Series.floatLength, [5, 12])
+
     def testFloatProd(self):
         "Test floatProd function (to 5 decimal places)"
         self.assertAlmostEquals(Series.floatProd((1,2.718,3,4)), 32.616, 5)
@@ -592,6 +731,10 @@
         "Test floatProd function with an invalid list"
         self.assertRaises(BadListError, Series.floatProd, [3.14, "pi"])
 
+    def testFloatSum(self):
+        "Test floatSum function"
+        self.assertEquals(Series.floatSum([-5,6,-7,8]), 2)
+
     def testFloatOnes(self):
         "Test floatOnes function"
         myArray = N.zeros(5,'f')
@@ -602,6 +745,17 @@
         "Test floatOnes function with a list"
         self.assertRaises(TypeError, Series.floatOnes, [True, 0, 2.718, "pi"])
 
+    def testFloatDet(self):
+        "Test floatDet function"
+        matrix = [[6,7],[8,9]]
+        self.assertEquals(Series.floatDet(matrix), -2)
+
+    def testFloatZeros(self):
+        "Test floatZeros function"
+        myArray = N.ones(5,'f')
+        Series.floatZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
     def testFloatMax(self):
         "Test floatMax function"
         matrix = [[-6,5,-4],[3.14,-2.718,1]]
@@ -615,27 +769,17 @@
         "Test floatMax function with a 1D array"
         self.assertRaises(TypeError, Series.floatMax, [0.0, -1, 2.718, -3.14])
 
+    def testFloatMin(self):
+        "Test floatMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.floatMin(matrix), 4)
+
     def testFloatFloor(self):
         "Test floatFloor function"
         matrix = N.array([[10,-2],[-6,7]],'f')
         Series.floatFloor(matrix,0)
         N.testing.assert_array_equal(matrix, N.array([[10,0],[0,7]]))
 
-    def testFloatSum(self):
-        "Test floatSum function"
-        self.assertEquals(Series.floatSum([-5,6,-7,8]), 2)
-
-    def testFloatZeros(self):
-        "Test floatZeros function"
-        myArray = N.ones(5,'f')
-        Series.floatZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testFloatMin(self):
-        "Test floatMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.floatMin(matrix), 4)
-
     def testFloatCeil(self):
         "Test floatCeil function"
         matrix = N.array([[10,-2],[-6,7]],'f')
@@ -644,6 +788,14 @@
 
     ######################################################
     ### Test functions that take arrays of type DOUBLE ###
+    def testDoubleLength(self):
+        "Test doubleLength function"
+        self.assertEquals(Series.doubleLength([5, 12, 0]), 13)
+
+    def testDoubleLengthBad(self):
+        "Test doubleLength function for wrong size"
+        self.assertRaises(TypeError, Series.doubleLength, [5, 12])
+
     def testDoubleProd(self):
         "Test doubleProd function"
         self.assertEquals(Series.doubleProd((1,2.718,3,4)), 32.616)
@@ -652,6 +804,10 @@
         "Test doubleProd function with an invalid list"
         self.assertRaises(BadListError, Series.doubleProd, [3.14, "pi"])
 
+    def testDoubleSum(self):
+        "Test doubleSum function"
+        self.assertEquals(Series.doubleSum([-5,6,-7,8]), 2)
+
     def testDoubleOnes(self):
         "Test doubleOnes function"
         myArray = N.zeros(5,'d')
@@ -662,6 +818,17 @@
         "Test doubleOnes function with a list"
         self.assertRaises(TypeError, Series.doubleOnes, [True, 0, 2.718, "pi"])
 
+    def testDoubleZeros(self):
+        "Test doubleZeros function"
+        myArray = N.ones(5,'d')
+        Series.doubleZeros(myArray)
+        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
+
+    def testDoubleDet(self):
+        "Test doubleDet function"
+        matrix = [[6,7],[8,9]]
+        self.assertEquals(Series.doubleDet(matrix), -2)
+
     def testDoubleMax(self):
         "Test doubleMax function"
         matrix = [[-6,5,-4],[3.14,-2.718,1]]
@@ -675,27 +842,17 @@
         "Test doubleMax function with a 1D array"
         self.assertRaises(TypeError, Series.doubleMax, [0.0, -1, 2.718, -3.14])
 
+    def testDoubleMin(self):
+        "Test doubleMin function"
+        matrix = [[9,8],[7,6],[5,4]]
+        self.assertEquals(Series.doubleMin(matrix), 4)
+
     def testDoubleFloor(self):
         "Test doubleFloor function"
         matrix = N.array([[10,-2],[-6,7]],'d')
         Series.doubleFloor(matrix,0)
         N.testing.assert_array_equal(matrix, N.array([[10,0],[0,7]]))
 
-    def testDoubleSum(self):
-        "Test doubleSum function"
-        self.assertEquals(Series.doubleSum([-5,6,-7,8]), 2)
-
-    def testDoubleZeros(self):
-        "Test doubleZeros function"
-        myArray = N.ones(5,'d')
-        Series.doubleZeros(myArray)
-        N.testing.assert_array_equal(myArray, N.array([0,0,0,0,0]))
-
-    def testDoubleMin(self):
-        "Test doubleMin function"
-        matrix = [[9,8],[7,6],[5,4]]
-        self.assertEquals(Series.doubleMin(matrix), 4)
-
     def testDoubleCeil(self):
         "Test doubleCeil function"
         matrix = N.array([[10,-2],[-6,7]],'d')



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