hypothesis
hardhat
Our great sponsors
hypothesis | hardhat | |
---|---|---|
20 | 126 | |
7,275 | 6,754 | |
1.5% | 2.8% | |
9.9 | 9.9 | |
1 day ago | 6 days ago | |
Python | TypeScript | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
hypothesis
- Hypothesis
-
A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Hypothesis for Property-Based Testing: Hypothesis is a Python library facilitating property-based testing. It offers a distinct advantage by generating a wide array of input data based on specified properties or invariants within the code. The perks of Hypothesis include:
-
Pix2tex: Using a ViT to convert images of equations into LaTeX code
But then add tests! Tests for LaTeX equations that had never been executable as code.
https://github.com/HypothesisWorks/hypothesis :
> Hypothesis is a family of testing libraries which let you write tests parametrized by a source of examples. A Hypothesis implementation then generates simple and comprehensible examples that make your tests fail. This simplifies writing your tests and makes them more powerful at the same time, by letting software automate the boring bits and do them to a higher standard than a human would, freeing you to focus on the higher level test logic.
> This sort of testing is often called "property-based testing", and the most widely known implementation of the concept is the Haskell library QuickCheck, but Hypothesis differs significantly from QuickCheck and is designed to fit idiomatically and easily into existing styles of testing that you are used to, with absolutely no familiarity with Haskell or functional programming needed.
-
pgregory.net/rapid v1.0.0, modern Go property-based testing library
pgregory.net/rapid is a modern Go property-based testing library initially inspired by the power and convenience of Python's Hypothesis.
- Was muss man als nicht-technischer Quereinsteiger in Data Science *wirklich* können?
-
Python toolkits
Hypothesis to generate dummy data for test.
-
Best way to test GraphQL API using Python?
To create your own test cases, I recommend you use hypothesis-graphql in combination with hypothesis. hypothesis is a property-based testing library. Property-based testing is an approach to testing in which you make assertions about the result of a test given certain conditions and parameters. For example, if you have a mutation that requires a boolean parameter, you can assert that the client will receive an error if it sends a different type. hypothesis-graphql is a GraphQL testing library that knows how to use hypothesis strategies to generate query documents.
-
Fuzzcheck (a structure-aware Rust fuzzer)
The Hypothesis stateful testing code is somewhat self-contained, since it mostly builds on top of internal APIs that already existed.
-
Running C unit tests with pytest
We've had a lot of success combining that approach with property-based testing (https://github.com/HypothesisWorks/hypothesis) for the query engine at backtrace: https://engineering.backtrace.io/2020-03-11-how-hard-is-it-t... .
-
Machine Readable Specifications at Scale
Systems I've used for this include https://agda.readthedocs.io/en/v2.6.0.1/getting-started/what... https://coq.inria.fr https://www.idris-lang.org and https://isabelle.in.tum.de
An easier alternative is to try disproving the statement, by executing it on thousands of examples and seeing if any fail. That gives us less confidence than a full proof, but can still be better than traditional "there exists" tests. This is called property checking or property-based testing. Systems I've used for this include https://hypothesis.works https://hackage.haskell.org/package/QuickCheck https://scalacheck.org and https://jsverify.github.io
hardhat
-
How to Register a Smart Contract to Mode SFS with Hardhat.
Hardhat is an Ethereum development framework for creating, testing and deploying smart contracts. It includes a suite of tools that aid in developing smart contracts and managing the complete development process, allowing developers to write scripts, compile, test, and deploy efficiently.
-
Build an AI-powered NFT generator with TS, GPT, Polygon and CASE (Part 1/2)
That's it for the first part ! Then we will use Hardhat to deploy our Solidity Contract on the Polygon testnet, and then overload our mintNFT() function with the actual minting. If you want to see the Part 2 quickly, give us some love and we will execute ! ❤️❤️❤️
-
Upgradeable smart contracts
To keep things simple and visible (in case you cant deploy), we will use Sepolia testnet blockchain and Hardhat as development environment, so to configure hardhat to use sepolia we need to add the following configuration to the hardhat.config.js file:
-
How do I deploy an ethereum contract with hardhat and my Trezor wallet?
The documentation has no mention of Trezor wallet support. According to this GitHub issue I could try out this Frame application, but I was wondering if there was a simpler solution that didn't require installing some 3rd party application.
-
Hardhat Smartcontract Lottery (Raffle) Using TypeScript and latest versions of everything
I have two skipped tests because at the time of writing this article events firing doesn't work properly in the latest version. Link to the github issue
-
SKALE Ecosystem Update. Explore the Thriving Ecosystem that is Driving Innovation on SKALE
Hardhat
-
Learn To Become a Web3 Developer by Exploring the Web3 Stack
Other options include Remix (an IDE), ChainIDE, Anchor (for Solana), Hardhat, and lots of others. Web3 dev environments have come a long way in a short time, and there’s probably something out there for whatever you need.
-
The 4 Best dApp Frameworks for First-Time Ethereum Developers
Hardhat allows developers to build, test, and deploy smart contracts and dApps using a variety of tools and libraries. With over 114K users on GitHub and an active Discord community, Hardhat is a hugely popular framework for dApp developers. Much of its popularity can be attributed to its rich list of features, flexibility and the Hardhat Ethereum Virtual Machine for testing and debugging smart contracts.
-
Advancing dApp development with Hardhat Indexing: A Game-Changer for Ethereum Devs
The hardhat-ethers plugin adds the ethers.js library to the Hardhat node, making it possible to use its functionalities. It's possible to use it to deploy the contract, but since our goal is to create transactions, we can also add some code to do that as well.
-
Where are some of the best places to learn about Smart Contracts?
Also learning how to use one of these development environments instead of Remix is necessary: 1. Hardhat: https://hardhat.org 2. Foundry: https://github.com/foundry-rs/foundry
What are some alternatives?
pytest - The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
truffle - :warning: The Truffle Suite is being sunset. For information on ongoing support, migration options and FAQs, visit the Consensys blog. Thank you for all the support over the years.
Robot Framework - Generic automation framework for acceptance testing and RPA
foundry - Foundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust.
Behave - BDD, Python style.
ganache - :warning: The Truffle Suite is being sunset. For information on ongoing support, migration options and FAQs, visit the Consensys blog. Thank you for all the support over the years.
nose2 - The successor to nose, based on unittest2
remix-ide - Documentation for Remix IDE
nose - nose is nicer testing for python
openzeppelin-contracts - OpenZeppelin Contracts is a library for secure smart contract development.
Schemathesis - Automate your API Testing: catch crashes, validate specs, and save time
ethers.js - Complete Ethereum library and wallet implementation in JavaScript.