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 ADA Logics Ltd is registered in England. No: 11624074. Registered office: 266 Banbury Road, Post Box 292, OX2 7DL, Oxford, Oxfordshire , United Kingdom