make numpy tests portable to Darwin with older docutils

[SVN r35597]

test/numarray_tests.py

@@ -0,0 +1,63 @@
+# Copyright David Abrahams 2006. Distributed under the Boost
+# Software License, Version 1.0. (See accompanying
+# file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+import printer
+
+# So we can coerce portably across Python versions
+bool = type(1 == 1)
+
+'''
+>>> from numpy_ext import *
+>>> x = new_array()
+>>> y = x.copy()
+>>> p = _printer()
+>>> check = p.check
+>>> exercise_numarray(x, p)
+
+>>> check(str(y))
+
+>>> check(y.argmax());
+>>> check(y.argmax(0));
+
+>>> check(y.argmin());
+>>> check(y.argmin(0));
+
+>>> check(y.argsort());
+>>> check(y.argsort(1));
+
+>>> y.byteswap();
+>>> check(y);
+
+>>> check(y.diagonal());
+>>> check(y.diagonal(1));
+>>> check(y.diagonal(0, 0));
+>>> check(y.diagonal(0, 1, 0));
+
+>>> check(y.is_c_array());
+
+# coerce because numarray still returns an int and the C++ interface forces
+# the return type to bool
+>>> check( bool(y.isbyteswapped()) ); 
+
+>>> check(y.trace());
+>>> check(y.trace(1));
+>>> check(y.trace(0, 0));
+>>> check(y.trace(0, 1, 0));
+
+>>> check(y.new('D').getshape());
+>>> check(y.new('D').type());
+>>> y.sort();
+>>> check(y);
+>>> check(y.type());
+
+>>> check(y.factory((1.2, 3.4)));
+>>> check(y.factory((1.2, 3.4), "f8"))
+>>> check(y.factory((1.2, 3.4), "f8", true))
+>>> check(y.factory((1.2, 3.4), "f8", true, false))
+>>> check(y.factory((1.2, 3.4), "f8", true, false, None))
+>>> check(y.factory((1.2, 3.4), "f8", true, false, None, (1,2,1)))
+
+>>> p.results
+[]
+>>> del p
+'''