This repository contains a (very much Work In Progress) framework to create and test
smart contracts using the OP_CHECKCONTRACTVERIFY
opcode of MATT.
Optionally, create a python environment:
$ python -m venv venv
$ source venv/bin/activate
Install the library with:
$ pip install pymatt
The fastest way to get started is this docker container:
$ docker pull bigspider/bitcoin_matt
$ docker run -d -p 18443:18443 bigspider/bitcoin_matt
The examples
folder contains some utility scripts to work with regtest bitcoin-core:
- init.sh creates/loads and funds a wallet named
testwallet
. Run it once before the examples and you're good to go. - fund.sh that allows to fund a certain address.
The following examples are currently implemented
- Vault [cli]: an implementation of a vault, largely compatible with OP_VAULT BIP-0345.
- Rock-Paper-Scissors [cli]: play Rock-Paper-Scissors on bitcoin.
- RAM [cli]: a a contract that uses a Merkle tree to store a vector of arbitrary length in size, with transitions that allow to modify one element of the vector.
- game256: Implements an end-2-end execution of the toy example for fraud proofs drafted in bitcoin-dev.
For the ones marked with [cli], a simple interactive tool allows to play with the contract. More code examples can be found in the test suite.
See the docs folder for high-level documentation on how to design smart contracts using MATT.
As the framework is still in development, we recommend looking at the code examples below for developer documentation on using pymatt.
The following guide walks through setting up your local working environment using git
as distributed version control system and uv
as Python package and version manager.
If you do not have git
installed, run the following command.
Install using Homebrew (Darwin)
brew install git
Install via binary installer (Linux)
- Debian-based package management
sudo apt install git-all
- Fedora-based package management
sudo dnf install git-all
If you do not have uv
installed, run the following command.
Install using Homebrew (Darwin)
brew install uv
Install using standalone installer (Darwin and Linux)
curl -LsSf https://astral.sh/uv/install.sh | sh
Once you have git
distributed version control system installed, you can
clone the current repository and install any version of Python above version
3.9 for this project. The following commands help you set up and activate a
Python virtual environment where uv
can download project dependencies from the PyPI
open-sourced registry defined under pyproject.toml
file.
Set up environment and synchronize project dependencies
git clone [email protected]:Merkleize/pymatt.git
cd pymatt
uv venv --python 3.9
source .venv/bin/activate
uv sync --dev
All the examples use the RPC_USER
, RPC_PASSWORD
, RPC_HOST
, RPC_PORT
environment variables
to set up a connection with the regtest bitcoin node; the default values are the same as set
in the container.
If they differ in your system, make sure to set them appropriately, or create a .env
file
similar to the following:
RPC_HOST = "localhost"
RPC_USER = "rpcuser"
RPC_PASSWORD = "rpcpass"
RPC_PORT = "18443"
NOTE: the examples do not handle fee management and will send transactions with 0 fees; those are rejected with the default settings of bitcoin-core.
If not using the container above, please see an example of custom bitcoin.conf to work with the scripts in this repository.
You can use the following command to install the extra dependencies required for running the examples attached.
Install dependencies for `RAM` example
uv sync --dev --extra ram
Install dependencies for `Rps` example
uv sync --dev --extra rps
Install dependencies for `Vault` example
uv sync --dev --extra vault
This project uses pytest
to run automated tests. Install the dependencies with:
uv sync --dev
Sample installation output for development dependencies
$ uv sync --dev
> Resolved 30 packages in 0.35ms
> Installed 24 packages in 124ms
> + attrs==25.3.0
> + bokeh==3.1.1
> + contourpy==1.1.1
> + iniconfig==2.1.0
> + jinja2==3.1.6
> + markupsafe==2.1.5
> + matt==0.0.1 (from file:///path/to/your/local/workspace/pymatt)
> + networkx==3.1
> + numpy==1.24.4
> + packaging==25.0
> + pandas==2.0.3
> + pillow==10.4.0
> + pluggy==1.5.0
> + py==1.11.0
> + pytest==6.2.5
> + python-dateutil==2.9.0.post0
> + pytz==2025.2
> + pyyaml==6.0.2
> + six==1.17.0
> + toml==0.10.2
> + tornado==6.4.2
> + typing-extensions==4.13.2
> + tzdata==2025.2
> + xyzservices==2025.4.0
The test suite requires a running instance of the MATT-enabled bitcoin-inquisition, for example using the container above. The init.sh script makes sure that a funded test wallet is loaded.
$ docker run -d -p 18443:18443 bigspider/bitcoin_matt
$ bash ./examples/init.sh
Then, run the tests with
$ pytest
Refer to the pytest documentation for more advanced options.
Some tests produce additional illustrative info about the transactions produced during
the contract execution, in a Markdown report called report.md
.