Hi Numpy maintainers,

Would you be interested in integrating continuous fuzzing by way of
OSS-Fuzz? Fuzzing is a way to automate test-case generation and has been
heavily used for memory unsafe languages. Recently efforts have been put
into fuzzing memory safe languages and Python is one of the languages
where it would be great to use fuzzing.

In this PR: https://github.com/google/oss-fuzz/pull/7681 I did an
initial integration into OSS-Fuzz. Essentially, OSS-Fuzz is a free
service run by Google that performs continuous fuzzing of important open
source projects.
If you would like to integrate, the only thing I need is a list of
email(s) that will get access to the data produced by OSS-Fuzz, such as
bug reports, coverage reports and more stats. Notice the emails
affiliated with the project will be public in the OSS-Fuzz repo, as they
will be part of a configuration file.

There are already some important Python projects on OSS-Fuzz such as
tensorflow-python
(https://github.com/google/oss-fuzz/tree/master/projects/tensorflow-py)
and it would be great to add Numpy to the list.

Let me know your thoughts on this and if you have any questions as I’m
happy to clarify or go more into details with fuzzing.

Kind regards,
David

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