将诗歌脚本转换为 Intel Lava-nc 的 conda yaml？

Question

上下文

the Linux/MacOS instructions 上的说明为英特尔的 Lava 神经形态计算框架设置您的设备提供了一些 pip 命令、一个 git clone 命令和一些诗歌说明。我习惯于能够将pip 命令集成到conda 的environment.yml 中，我认为git clone 命令也可以包含在environment.yml 文件中。但是，我还不确定如何集成诗歌命令。

问题

因此，我想问一下：如何将下面的安装脚本转换成（单个）conda环境yaml文件？：

cd $HOME
pip install -U pip
pip install "poetry>=1.1.13"
git clone git@github.com:lava-nc/lava.git
cd lava
poetry config virtualenvs.in-project true
poetry install
source .venv/bin/activate
pytest

尝试

我已经能够在单个 environment.yml 中成功安装 Lava 软件，使用：

# 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

我已经安装了：

conda env create --file lava_environment.yml

但是，installs it from a binary 而不是来自源代码。

Answer 1

这可能会对你有所帮助：

cd $HOME
pip install -U pip
pip install "poetry>=1.1.13"
git clone git@github.com:lava-nc/lava.git
cd lava
poetry config virtualenvs.in-project true
poetry install
poetry run pytest

在脚本中使用poetry 时，不手动激活venv 会更容易（原因是source 可能难以使用），而是使用poetry run <command> 执行应注意的命令venv。

Answer 2

这个environment.yml可以用来安装和使用Lava v0.0.3框架：

# 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

它还包括使用pre-commit 进行质量保证的软件包。