Add test to use numpy.fromfunc.

Depends on numpy branch "ufunc-from-function-pointer" in git://github.com/jayvius/numpy.git

test_parallel_vectorize_numpy.py

@@ -0,0 +1,46 @@
+from test_parallel_vectorize import *
+
+import numpy as np
+
+def main():
+    module = Module.new(__name__)
+    sppufunc = SpecializedParallelUFunc.define(module,
+                            PUFuncDef = ParallelUFuncPosix,
+                            CoreDef = UFuncCore_D_D,
+                            Func = Work_D_D,
+                            FuncName = Work_D_D._name_,
+                            ThreadCount = 2)
+    module.verify()
+
+    mpm = PassManager.new()
+    pmbuilder = PassManagerBuilder.new()
+    pmbuilder.opt_level = 3
+    pmbuilder.populate(mpm)
+
+    mpm.run(module)
+#    print module
+
+    # run
+
+    exe = CExecutor(module)
+    funcptr = exe.engine.get_pointer_to_function(sppufunc)
+    print("Function pointer: %x" % funcptr)
+
+    ptr_t = long # py2 only
+
+    typenum = np.dtype(np.double).num
+    ufunc = np.fromfunc([ptr_t(funcptr)], [[typenum, typenum]], 1, 1, [None])
+
+    x = np.linspace(0., 10., 1000)
+    x.dtype=np.double
+#    print x
+    ans = ufunc(x)
+#    print ans
+
+    if not ( ans == x/2.345 ).all():
+        raise ValueError('Computation failed')
+    else:
+        print('Good')
+
+if __name__ == '__main__':
+    main()