cryosparc-tools

Toolkit for interfacing with CryoSPARC. Read the documentation at tools.cryosparc.com

Getting Help and Reporting Bugs

For usage questions and general discussion about cryosparc-tools scripts and functions, please post to the CryoSPARC discussion forum under the Scripting category.

If you would like to request or propose a feature, change or fix for cryosparc-tools source code, please either report an issue or submit a pull request.

See CONTRIBUTING.md for full details.

Development

Prerequisites

• Git and Git LFS
• Python >= 3.8
• C compiler such as GCC or Clang

Set Up

1. Clone this repository

   git clone --recursive https://github.com/cryoem-uoft/cryosparc-tools.git
   cd cryosparc-tools
   git lfs pull

2. (Optional) Create and activate a virtual environment

   python3 -m venv .venv
   source .venv/bin/activate  # macOS / Linux
   # OR
   .venv\Scripts\activate.bat  # Windows

3. Install dev dependencies and build native modules

   pip install -U pip wheel
   pip install -e ".[dev]"

4. Install pre-commit hooks

   pre-commit install
   

Re-compile native module

Recompile native modules after making changes to C code:

python -m setup build_ext -i

Build Packages for Publishing

Install build dependencies

pip install -e ".[build]"

Run the build

python -m build

Packages for the current architecture and python version are added to the dist/ directory.

Build Documentation

Documentation is located in the docs directory and is powered by Jupyter Book.

To build the docs, install build dependencies

pip install -e ".[build]"

Then run Jupyter Book

jupyter-book build docs

Site will be be built into the docs/_build/html directory.

Note: Jupyter Book is not configured to re-run example notebooks upon build since the notebooks require an active CryoSPARC instance to run.

See the Run Example Notebooks section for instructions on how to run the notebooks.

Inline source documentation is compiled to HTML via Sphinx and uses Google Style Python docstrings.

Run Example Notebooks

The Jupyter notebooks in the example documentation require additional dependencies to execute, including the following system configuration:

• Nvidia GPU and driver
• Miniconda or Miniforge installed
• CryoSPARC running at localhost:40000 or cryoem0:40000 (can alias cryoem0 to localhost)

Clean previous build artefacts:

rm -rf cryosparc/*.so build dist *.egg-info

Install dependencies into a new conda environment:

conda create -n cryosparc-tools-example -c conda-forge python=3 numpy=1.18.5 \
    pyqt=5 libtiff wxPython=4.1.1 adwaita-icon-theme 'setuptools<66'  # exclude these dependencies if you don't need cryolo
conda activate cryosparc-tools-example
pip install cryosparc-tools matplotlib~=3.4.0 pandas~=1.1.0 notebook
pip install 'cryolo[c11]' --extra-index-url https://pypi.ngc.nvidia.com   # optional, only if you want to use cryolo

Before you run the notebook server, you may need to set the LD_LIBRARY_PATH variable to include the location of CUDA Toolkit and cuDNN runtime libraries. e.g.,

export LD_LIBRARY_PATH="$HOME/miniconda3/envs/tools/lib/python3.8/site-packages/nvidia/*/lib"

Run the notebook server

jupyter notebook

Find examples in docs/examples directory

License

cryosparc-tools is licensed under the BSD-3-Clause license.