hypothesis VS truffle

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:

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 is a modern Go property-based testing library initially inspired by the power and convenience of Python's Hypothesis.

Hypothesis to generate dummy data for test.

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.

The Hypothesis stateful testing code is somewhat self-contained, since it mostly builds on top of internal APIs that already existed.

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... .

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

Truffle (13700 GitHub Stars) https://github.com/trufflesuite/truffle

Truffle

You’ve probably heard that Generative AI has demonstrated the potential to disrupt a huge number of industries and jobs — and web3 is no exception. But how well can ChatGPT create smart contracts? Can using ChatGPT to code smart contracts make you a 10x developer? In this article, we’ll try it out and see. We’ll walk through writing and deploying an Ethereum smart contract using MetaMask, Infura, and Truffle … and we will ask ChatGPT for instructions on how to do everything from the code to the deployment.

truffle v5.8.3 and v5.8.4 — update Ganache to the most recent version which supports Shanghai and small fixes

For example, I used the Truffle Suite to write, compile, and deploy my first smart contracts, which includes Ganache to create a local blockchain and Drizzle to create a front-end dapp interface.

truffle v5.8.0 - Truffle introduces the Truffle Dashboard Hardhat plugin, which allows developers to see decoded transaction information when using Truffle Dashboard with their Hardhat projects.

In this article, we’ll explore what makes Linea so exciting. Then, we’ll walk through a tutorial on how to build a dapp on the Linea testnet. Finally, we’ll create our own cryptocurrency on Linea using Solidity, MetaMask, and Truffle: all mature ecosystem tools that are used by blockchain developers to build dapps.

Truffle is a popular development and testing framework for dApps, both for first time and experienced Ethereum developers. As well as containing a web3.js library, Truffle is simple, user friendly and, with over 56K GitHub users, trusted. To install Truffle you need to have Node, NPM and Python. You can install Truffle via NPM with the command ‘npm install -g truffle.’

The inspiration for the article came from a project I had built a little over a month earlier, for which I wrote a different article. In this initial project, I was actually using a Hardhat local node for my smart contract development. I decided to switch to Truffle for the final article, because it had a more intuitive demo contract, and because the command line tool made it easier to create manual transactions.

Easy for devs — The zkEVM supports most popular tools out of the box. You can build, test, debug, and deploy your smart contracts with Hardhat, Infura, Truffle, etc. All the tools you use now, you can keep using. And there is already a bridge to move tokens onto and off the network.