MonkeyType
yapf
MonkeyType | yapf | |
---|---|---|
9 | 21 | |
4,540 | 13,655 | |
0.6% | 0.3% | |
5.4 | 8.0 | |
18 days ago | 7 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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
yapf
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Enhance Your Project Quality with These Top Python Libraries
YAPF (Yet Another Python Formatter): YAPF takes a different approach in that it’s based off of ‘clang-format’, a popular formatter for C++ code. YAPF reformats Python code so that it conforms to the style guide and looks good.
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Why is Prettier rock solid?
I think I agree about the testing and labor of complicated translation rules.
But it doesn't appear that almost every pretty printer uses the Wadler pretty printing paper. It seems like MOST of them don't?
e.g. clang-format is one of the biggest and best, and it has a model that includes "unwrapped lines", a "layouter", a line break cost function, exhaustive search with memoization, and Dijikstra's algorithm:
https://llvm.org/devmtg/2013-04/jasper-slides.pdf
The YAPF Python formatter is based on this same algorithm - https://github.com/google/yapf
The Dart formatter used a model of "chunks, rules, and spans"
https://journal.stuffwithstuff.com/2015/09/08/the-hardest-pr...
It almost seems like there are 2 camps -- the functional algorithms for functional/expression-based languages, and other algorithms for more statement-based languages.
Though I guess Prettier/JavaScript falls on the functional side.
I just ran across this survey on lobste.rs and it seems to cover the functional pretty printing languages influenced by Wadler, but functional style, but not the other kind of formatter ("Google" formatters perhaps)
https://arxiv.org/pdf/2310.01530.pdf
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
To get all your code into a consistent format the next step is to run a formatter. I recommend black, the well-known uncompromising code formatter, which is the most popular choice. Alternatives to black are autoflake, prettier and yapf, if you do not agree with blacks constraints.
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Front page news headline scraping data engineering project
Use yapf to format code -> https://github.com/google/yapf
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Confused by Google's docstring "Attributes" section.
Google is surprisingly rigorous when it comes to code formatting. I have been a software engineer at Amazon and it was nothing like what the book says happens at Google. So the conventions you see for python docstring formatting are primarily designed to integrate with Google's internal tooling. By using docstrings following the Google conventions, you will ultimately end up with automated documentation and other fancy automated things (like type checking which they did in the docstring before there were type hints). Also notably, Google has an open source python formatting tool that they use internally called YAPF (which stands for "Yet Another Python Formatter". So if you really want to go all-in on Google python style, grab that, too.
- Alternate python spacing.
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Not sure if this is the worst or most genius indentation I've seen
https://github.com/google/yapf has configs, do ctrl+f SPLIT_COMPLEX_COMPREHENSION in the readme
- Google Python Style Guide
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Enable hyphenation only for code blocks
Only as recommendation: If the lines of the source code (here: you C code you aim to document) are kept short, in manageable bytes (similar to entries parser.add_argument in Clark's "Tiny Python Projects", example seldomly pass beyond the frequently recommended threshold of 80 characters/line), reporting with listings becomes easier (equally, the reading of the difference logs/views by git and vimdiff), than with lines of say 120 characters per line. Though we no longer are constrained to 80 characters per line by terminals/screens and punch cards (when Fortran still was FORTRAN), this is a reason e.g., yapf for Python allows you to choose between 4 spaces/indentation (PEP8 style), or 2 spaces/indentation (Google style).
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3 popular Python style guides that will help your team write better code
There is also a formatter for Python files called yapf that your team can use to avoid arguing over formatting conventions. Plus, Google also provides a settings file for Vim, noting that the default settings should be enough if you're using Emacs.
What are some alternatives?
PythonBuddy - 1st Online Python Editor With Live Syntax Checking and Execution
black - The uncompromising Python code formatter
unimport - :rocket: The ultimate linter and formatter for removing unused import statements in your code.
isort - A Python utility / library to sort imports.
Cinder - Cinder is a community-developed, free and open source library for professional-quality creative coding in C++.
flake8
typehole - TypeScript development tool for Visual Studio Code that helps you automate creating the initial static typing for runtime values
autopep8 - A tool that automatically formats Python code to conform to the PEP 8 style guide.
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
awesome-python-typing - Collection of awesome Python types, stubs, plugins, and tools to work with them.
plum - Multiple dispatch in Python
pyright - Static Type Checker for Python