Hi all,
In a few places I noticed recently that it has become harder for Numba to
keep up with NumPy releases. Numba is very popular, so that's not an ideal
situation for end users or for packages which have both NumPy and Numba as
dependencies. If we can do things to make the life of the Numba te
I'm not 100% about the important differences, so this is a bit of an
intuitive analysis from my side (I know little about Hypothesis and more
about fuzzing).
Hypothesis has support for traditional fuzzing [sic]:
https://hypothesis.readthedocs.io/en/latest/details.html?highlight=fuzz#use-with-exte
Hi All,
Hope this is the right forum.
I am working on using Numpy from the programming language Racket.
My plan of attack is to use Python via `libpython`.
That is, from Racket I use `ffilib` to load `libpython` and from there I use
the C API
to control Python.
Here is what works at the moment
I know the hypothesis developers consider Hypothesis to be different from
fuzzing. But I've never been exactly clear just what is meant by "fuzzing"
in the context you are suggesting. When you say you want to "fuzz NumPy"
what sorts of things would the fuzzer be doing? Would you need to tell it
wha
