freezegun
asdf
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freezegun | asdf | |
---|---|---|
9 | 340 | |
3,970 | 20,448 | |
- | 2.8% | |
6.7 | 7.9 | |
3 days ago | 3 days ago | |
Python | Shell | |
Apache License 2.0 | 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.
freezegun
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About time: how to unit test code that depends on time
* in C++.
On Python, just use freezegun to inject controllable timestamps in response to calls to time methods.
https://github.com/spulec/freezegun
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How to simulate a delay in a test?
I had much fun with https://github.com/spulec/freezegun
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Unnecessary unit-test mocking?
If you're ever in Python-land, freezegun is a super neat library that snags all the time/date related functions and lets you control time from code.
- Microsoft Exchange stops passing mail due to bug on 1/1/22
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Python: Please stop screwing over Linux distros
For example, freezegun which is a common testing utility.
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Mocking Python datetime In Tests With FreezeGun
FreezeGun is a library that helps with mocking out the datetime.datetime.now function. It is a very useful tool for testing code that uses the datetime library.
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Introduction to Flaky Tests by Example
Another way of doing so would be to inject the value directly to the method. Python has a very good library to sandbox the tests when using the built-in datetime objects: freezegun. Once again, and unfortunately for us, the project was using arrow so this was not a possibility.
- FreezeGun: Let your Python tests travel through time
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As a beginner to testing, what is the best and fastest way to create testing cases?
If you do time sensitive tests, use freeze gun to make them reproducible https://github.com/spulec/freezegun
asdf
- Show HN: I made a multiple runtime version manager that can be used on Windows
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Volta – Fastest Node version manager in Rust
Or if you need to manage more than just node, asdf has been around for over a decade and works great. You can use a .tool-versions to change runtimes for each project you have, in addition to managing your global runtime versions
https://asdf-vm.com/
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Pyenv – lets you easily switch between multiple versions of Python
Why not just use a tool like asdf (https://asdf-vm.com/) or mise (https://mise.jdx.dev/)?
These tools have the advantage of not being multi-taskers and can manage version for all your tools. You wouldn’t need pyenv and npm and rvm and…
We’ve even started committing the .mise.toml files for projects to our repos. That way, since we work on multiple projects that may need multiple versions of the same tool, it’s handled and documented.
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A Journey to Find an Ultimate Development Environment
The purpose of a version manager is to help you navigate or install any tools for development easily. Version Manager can be one tool for each dependency (e.g. NVM, g) or One tool for all dependencies (e.g. asdf, mise).
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How to Install Your Python Version on Ubuntu
(asdf)[https://asdf-vm.com/] fully supports Python and almost any other language. I've been using it for Ruby, Python, Elixir, and other languages for years and never looked back.
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Beginners Intro to Trunk Based Development
Secondly, our development environments must not drift, because then code may behave differently and a change could pass on our machine but fail in production. There are many tools for locking down environments, e.g nix, pkgx, asdf, containers, etc., and they all share the common goal of being able to lock down dependencies for an environment accurately and deterministically. And that needs to be enforced in our local workflow so we don't have to rely on CI environments for correctness. All developers must have environments that are effectively identical to what runs in CI (which itself should be representative of the production environment).
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Practical Guide to Trunk Based Development
There are many ways this can be done (e.g nix, pkgx, asdf, containers, etc.), and we won’t get into which specific tools to use, because we'll instead cover the essential essence of preventing environment drift:
- Criando seu ambiente com ASDF
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Kotlin version manager
I've really been enjoying asdf, which is a program that allows you to install specified versions of dev utilities as well as dynamically manage them via shims and .tool-versions files.
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How do i keep my "devops tool" always up to date in a smart way ?
I use the asdf version manager.
What are some alternatives?
time-machine - Travel through time in your tests.
SDKMan - The SDKMAN! Command Line Interface
python-libfaketime - A fast time mocking alternative to freezegun that wraps libfaketime.
pyenv - Simple Python version management
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
rbenv - Manage your app's Ruby environment
VCR.py - Automatically mock your HTTP interactions to simplify and speed up testing
nvm - Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
httpretty - Intercept HTTP requests at the Python socket level. Fakes the whole socket module
volta - Volta: JS Toolchains as Code. ⚡
mock - The Python mock library
HomeBrew - 🍺 The missing package manager for macOS (or Linux)