index.rst

@@ -7,6 +7,7 @@ Welcome to pyFFTW's documentation!
 ==================================
 
 * :ref:`FFTW Class <FFTW_class>`
+* :ref:`Wisdom Functions <WisdomFunctions>`  
 * :ref:`Utility Functions <UtilityFunctions>`
 
 pyFFTW is a pythonic wrapper around `FFTW <http://www.fftw.org/>`_, the
@@ -71,6 +72,28 @@ FFTW Class
 
    .. automethod:: pyfftw.FFTW.execute()
 
+.. _WisdomFunctions:
+
+Wisdom Functions
+----------------
+
+Functions for dealing with FFTW's ability to export and restore plans, 
+referred to as *wisdom*. For further information, refer to the `FFTW 
+wisdom documentation <http://www.fftw.org/fftw3_doc/Words-of-Wisdom_002dSaving-Plans.html#Words-of-Wisdom_002dSaving-Plans>`_.
+
+.. _export_wisdom:
+
+.. autofunction:: pyfftw.export_wisdom
+
+.. _import_wisdom:
+
+.. autofunction:: pyfftw.import_wisdom
+
+.. _forget_wisdom:
+
+.. autofunction:: pyfftw.forget_wisdom
+
+
 .. _UtilityFunctions:
 
 Utility Functions

setup.py

@@ -44,7 +44,7 @@
     libraries=libraries,
     library_dirs=library_dirs)]
 
-version = '0.7.0'
+version = '0.8.0'
 
 long_description = '''
 pyFFTW is a pythonic wrapper around `FFTW <http://www.fftw.org/>`_, the

test/test_pyfftw_wisdom.py

@@ -21,24 +21,29 @@
         export_wisdom, import_wisdom, forget_wisdom)
 
 import numpy
+import cPickle
 
 import unittest
 
 class FFTWWisdomTest(unittest.TestCase):
 
-    def test_export(self):
-
-        forget_wisdom()
-
-        before_wisdom = export_wisdom()
-
+    def generate_wisdom(self):
         for each_dtype in (numpy.complex128, numpy.complex64, 
                 numpy.clongdouble):
 
             a = n_byte_align_empty((1,1024), 16, each_dtype)
             b = n_byte_align_empty(a.shape, 16, dtype=a.dtype)
             fft = FFTW(a,b)
 
+
+    def test_export(self):
+
+        forget_wisdom()
+
+        before_wisdom = export_wisdom()
+
+        self.generate_wisdom()
+
         after_wisdom = export_wisdom()
 
         for n in range(0,2):
@@ -48,12 +53,7 @@ def test_import(self):
 
         forget_wisdom()
 
-        for each_dtype in (numpy.complex128, numpy.complex64, 
-                numpy.clongdouble):
-
-            a = n_byte_align_empty((1,1024), 16, each_dtype)
-            b = n_byte_align_empty(a.shape, 16, dtype=a.dtype)
-            fft = FFTW(a,b)
+        self.generate_wisdom()
 
         after_wisdom = export_wisdom()