[pypy-dev] what does the debug cycle look like?

[Matti Picus]

Numpy's tests are a good starting point, but they tend to ignore corner 
cases such as:
improper arguments,
strange mixtures of options,
passing in virtual ndarrays (lazy evaluation and slices),
empty arrays or scalars,
so we generally start with theirs and add more, trying to retain 
compatibility.
Matti

On 14/08/2012 8:15 AM, Brandon Rhodes wrote:
> ... I will have to ask him - or do you know? - whether we are writing 
> our own tests, or just copying over NumPy's existing tests each time 
> we add a new feature and want to be sure that it works?