MonkeyType
infer
MonkeyType | infer | |
---|---|---|
9 | 42 | |
4,540 | 14,716 | |
0.6% | 0.3% | |
5.4 | 9.9 | |
18 days ago | 3 days ago | |
Python | OCaml | |
GNU General Public License v3.0 or later | MIT License |
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MonkeyType
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Enhance Your Project Quality with These Top Python Libraries
MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or add type annotations directly to your Python code based on the types collected at runtime.
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
To alleviate the burden of manual annotation, MonkeyType offers a clever solution. It dynamically observes the types entering and leaving functions during code execution. Based on this observation, it generates a preliminary draft of type annotations. This significantly reduces the effort needed to add type hints to legacy code.
- Do you know any library that automatically detects unused files / functions inside a project folder?
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Programming Breakthroughs We Need
https://github.com/instagram/MonkeyType can perform the call logging, and can export a static typing file which is used by mypy, but also e.g. PyCharm. It doesn't expose such fine grained types, but you could build that based on the logged data.
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Gradually introduce type checking to an existing typed codebase.
Which introduces MonkeyType, a python library that generatics static type annotations by collecting runtime types.
- Call me naive, but would it not be possible to create a tool for python the auto adds type hints at run time?
- Is there any language that is as similar as possible to Python in syntax, readability, and features, but is statically typed?
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Typehole – Create TypeScript interfaces from JS runtime values automatically
Not sure if you're joking but there is something similar for python developed by a rather well known company https://github.com/Instagram/MonkeyType
- Cinder: Instagram's performance oriented fork of CPython
infer
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An Introduction to Temporal Logic (With Applications to Concurrency Problems)
I think most development occurs on problems that can't be formally modeled anyway. Most developers work on things like, "can you add this feature to the e-commerce site? And can the pop-up be blue?" which isn't really model-able.
But that's not to say that formal methods are useless! We can still prove some interesting aspects of programs -- for example, that every lock that gets acquired later gets released. I think tools like Infer[0] could become common in the coming years.
[0]: https://fbinfer.com/
- Should I Rust or should I Go
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Enforcing Memory Safety?
Using infer, someone else exploited null-dereference checks to introduce simple affine types in C++. Cppcheck also checks for null-dereferences. Unfortunately, that approach means that borrow-counting references have a larger sizeof than non-borrow counting references, so optimizing the count away potentially changes the semantics of a program which introduces a whole new way of writing subtly wrong code.
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Interesting ocaml mention in buck2 by fb
Meta/Facebook are long time OCaml users, their logo is on the OCaml website. Their static analysis tool and its predecessor are both written in OCaml.
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CISA Director Easterly's comments about cyber security. Agree or disagree?
Then this idea that the US government will tell tech companies how to write secure software. Let's get this straight, the private sector, especially big tech is miles ahead of US government in this regard. Microsoft literally invented threat modelling and modern exploit mitigations. Facebook has the best appsec processes pretty much in the whole world, including their own cutting edge code analyzer. AWS uses formal verification everywhere. Meanwhile the US government itself runs mission-critical systems that's almost literally held together by bubble gum and toothpicks. Maybe they could dial down the arrogance a tad, get their own shit together, learn how this cyber stuff is actually done and only then try lecturing everyone else.
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A plan for cybersecurity and grid safety
Efforts: Dependabot, CodeQL, Coverity, facebook's Infer tool, etc
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A quick look at free C++ static analysis tools
I notice there isn't fbinfer. It's pretty cool, and is used for this library.
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silly guy
"Move fast, break stuff" is a great approach when you aren't pushing the broken bits to production. Fuck, even Facebook, the big "move fast, break stuff" company, uses tools to detect errors in its continuous integration toolchain. https://fbinfer.com/
- OCaml 5.0 Multicore is out
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Beyond Functional Programming: The Verse Programming Language (Epic Games' new language with Simon Peyton Jones)
TBH, there's a non-zero amount of non-"ivory tower" tools you may have used that are written in functional languages. Say, Pandoc or Shellcheck are written in Haskell; Infer and Flow are written in OCaml. RabbitMQ and Whatsapp are implemented in Erlang (FB Messenger was too, originally; they switched to the C++ servers later). Twitter backend is (or was, at least) written in Scala.
What are some alternatives?
PythonBuddy - 1st Online Python Editor With Live Syntax Checking and Execution
SonarQube - Continuous Inspection
unimport - :rocket: The ultimate linter and formatter for removing unused import statements in your code.
Spotbugs - SpotBugs is FindBugs' successor. A tool for static analysis to look for bugs in Java code.
Cinder - Cinder is a community-developed, free and open source library for professional-quality creative coding in C++.
Error Prone - Catch common Java mistakes as compile-time errors
typehole - TypeScript development tool for Visual Studio Code that helps you automate creating the initial static typing for runtime values
FindBugs - The new home of the FindBugs project
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
PMD - An extensible multilanguage static code analyzer.
plum - Multiple dispatch in Python
Checkstyle - Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.