The instructions on the Linux/MacOS instructions to setup your device for the Lava neuromorphic computing framework by Intel provide a few pip commands, a git clone command and some poetry instructions. I am used to be able to integrate pip commands in an environment.yml for conda, and I thought the git clone command could also be included in the environment.yml file. However, I am not yet sure how to integrate the poetry commands.
Hence, I would like to ask: How can I convert the following installation script into a (single) conda environment yaml file?:
cd $HOME
pip install -U pip
pip install "poetry>=1.1.13"
git clone [email protected]:lava-nc/lava.git
cd lava
poetry config virtualenvs.in-project true
poetry install
source .venv/bin/activate
pytest
I have been able to install the Lava software successfully in a single environment.yml using:
# run: conda env create --file lava_environment.yml
# include new packages: conda env update --file lava_environment.yml
name: lava
channels:
- conda-forge
- conda
dependencies:
- anaconda
- conda:
# Run python tests.
- pytest=6.1.2
- pip
- pip:
# Auto generate docstrings
- pyment
# Run pip install on .tar.gz file in GitHub repository.
- https://github.com/lava-nc/lava/releases/download/v0.3.0/lava-nc-0.3.0.tar.gz
Which I've installed with:
conda env create --file lava_environment.yml
However, that installs it from a binary instead of from source.
This environment.yml can be used to install and use the Lava v0.0.3 framework:
# This file is to automatically configure your environment. It allows you to
# run the code with a single command without having to install anything
# (extra).
# First run: conda env create --file environment.yml
# If you change this file, run: conda env update --file environment.yml
# Instructions for this networkx-to-lava-nc repository only. First time usage
# On Ubuntu (this is needed for lava-nc):
# sudo apt upgrade
# sudo apt full-upgrade
# yes | sudo apt install gcc
# Conda configuration settings. (Specify which modules/packages are installed.)
name: nx2lava
channels:
- conda-forge
dependencies:
# Specify specific python version.
- python=3.8
# Run python tests.
- pytest-cov
# Generate plots.
- matplotlib
# Run graph software quickly.
- networkx
- pip
- pip:
# Run pip install on .tar.gz file in GitHub repository (For lava-nc only).
- https://github.com/lava-nc/lava/releases/download/v0.3.0/lava-nc-0.3.0.tar.gz
# Turns relative import paths into absolute import paths.
- absolufy-imports
# Auto format Python code to make it flake8 compliant.
- autoflake
# Scan Python code for security issues.
- bandit
# Code formatting compliance.
- black
# Correct code misspellings.
- codespell
# Verify percentage of code that has at least 1 test.
- coverage
# Auto formats the Python documentation written in the code.
- docformatter
# Auto generate docstrings.
- flake8
# Auto sort the import statements.
- isort
# Auto format Markdown files.
- mdformat
# Auto check static typing.
- mypy
# Auto generate documentation.
- pdoc3
# Auto check programming style aspects.
- pylint
# Auto generate docstrings.
- pyment
# Identify and remove dead code.
- vulture
# Include GitHub pre-commit hook.
- pre-commit
# Automatically upgrades Python syntax to the new Python version syntax.
- pyupgrade
# Another static type checker for python like mypy.
- pyright
It also includes packages for quality assurance using pre-commit.