CrossHair
molecule
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CrossHair | molecule | |
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8 | 10 | |
938 | 3,789 | |
- | 1.0% | |
9.2 | 8.7 | |
8 days ago | 7 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CrossHair
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Try CrossHair while working other Python projects
Writing some Python for Hacktoberfest? Try out CrossHair while you do that and get credit for a blog post too! https://github.com/pschanely/CrossHair/issues/173
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What are some amazing, great python external modules, libraries to explore?
CrossHair, Hypothesis, and Mutmut for advanced testing.
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Formal Verification Methods in industry
When you say "formal verification methods", what kind of techniques are you interested in? While using interactive theorem provers will most likely not become very widespread, there are plenty of tools that use formal techniques to give more correctness guarantees. These tools might give some guarantees, but do not guarantee complete functional correctness. WireGuard (VPN tunnel) is I think a very interesting application where they verified the protocol. There are also some tools in use, e.g. Mythril and CrossHair, that focus on detecting bugs using symbolic execution. There's also INFER from Facebook/Meta which tries to verify memory safety automatically. The following GitHub repo might also interest you, it lists some companies that use formal methods: practical-fm
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Klara: Python automatic test generations and static analysis library
The main difference that Klara bring to the table, compared to similar tool like pynguin and Crosshair is that the analysis is entirely static, meaning that no user code will be executed, and you can easily extend the test generation strategy via plugin loading (e.g. the options arg to the Component object returned from function above is not needed for test coverage).
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Pynguin – Allow developers to generate Python unit tests automatically
Just in case you are looking for an alternative approach: if you write contracts in your code, you might also consider crosshair [1] or icontract-hypothesis [2]. If your function/method does not need any pre-conditions then the the type annotations can be directly used.
(I'm one of the authors of icontract-hypothesis.)
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Programming in Z3 by learning to think like a compiler
There's a tool for verification of Python programs based on contracts which uses Z3: https://github.com/pschanely/CrossHair
You can use it as part of your CI or during the development (there's even a neat "watch" mode, akin to auto-correct).
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Finding Software Bugs Using Symbolic Execution
Looking at some of your SMT-based projects, I'd love to compare your SMT solver notes with my mine from working on https://github.com/pschanely/CrossHair
Sadly, there aren't a lot of resources on how to use SMT solvers well.
molecule
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Centralized user mangement for Linux
Hell, the ansible roles I maintain use Molecule for testing.
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Learned bit of Ansible to automate some post-fresh-Arch-install work
I would recommend you to use roles instead of just playbooks and to test them with molecule. Molecule allows you to quickly test your Ansible roles in a fresh Arch Linux podman container, completely isolated from your real system.
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The Bullhorn #45 (Ansible Newsletter)
Projects to make it easier to write and test Ansible Content. Includes VScode extension, language server, ansible-lint, molecule, ansible-navigator and potentially other development goodies. To see what's planned, and how you can help checkout the foundation-devtools project board
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CI/CD case study for edge infrastructure with a lot of Raspberry Pis
Ansible Molecule
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How do you track your deployment history ?
But to be fair, a lot has changed since 2017 :)
What are some alternatives?
ansible-navigator - A text-based user interface (TUI) for Ansible.
ansible-lint - Best practices checker for Ansible [Moved to: https://github.com/ansible/ansible-lint]
pynguin - The PYthoN General UnIt Test geNerator is a test-generation tool for Python
icontract-hypothesis - Combine contracts and automatic testing.
vscode-ansible - vscode/vscodium extension for providing Ansible auto-completion and integrating quality assurance tools like ansible-lint, ansible syntax check, yamllint, molecule and ansible-test.
angr - A powerful and user-friendly binary analysis platform!
alive2 - Automatic verification of LLVM optimizations
klee - KLEE Symbolic Execution Engine
miasm - Reverse engineering framework in Python
community.postgresql - Manage PostgreSQL with Ansible
ara - ARA Records Ansible and makes it easier to understand and troubleshoot.
boofuzz - A fork and successor of the Sulley Fuzzing Framework