-This is the last two months update of the activities on the NumPyPy project.
+This is status report on PyPy's NumPyPy project.
* **dtype support** - NumPy on PyPy now supports all the numeric dtypes in numpy,
including non-native storage formats, longdouble, clongdouble and friends.
-* **missing ndarray attributes** - work has been made toward supporting the attributes
+* **missing ndarray attributes** - work has been made toward supporting the
+ complete set of attributes
on ndarrays. We are progressing alphabetically, and have made it to d.
+ Unsupported attributes, and unsupported arguments to attribute calls
+ will raise a NotImplementedException.
* **pickling support for numarray** - hasn't started yet, but next on the list
-* There has been some work on exposing FF
T routines in to numpypy.
+* There has been some work on exposing FF routines in numpypy.
More importantly, we're closing on being able to run the pure-python part of
numpy without modifications. This is not getting us close to passing all
The most important part is the funding. While we managed to get a significant
amount of money in donations, we only managed to spend around $10 000 from it
+so far. We have issued a call for additional developers, and hope to be able to
+report on speedier progress soon.
Matti Picus, Maciej Fijalkowski