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cryosparc-tools-4.2.0


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توضیحات

Toolkit for interfacing with CryoSPARC
ویژگی مقدار
سیستم عامل -
نام فایل cryosparc-tools-4.2.0
نام cryosparc-tools
نسخه کتابخانه 4.2.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده -
ایمیل نویسنده "Structura Biotechnology Inc." <info@structura.bio>
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/cryosparc-tools/
مجوز -
# cryosparc-tools [![PyPI](https://badgen.net/pypi/v/cryosparc-tools)](https://pypi.org/project/cryosparc-tools/) [![Python package](https://github.com/cryoem-uoft/cryosparc-tools/actions/workflows/python-package.yml/badge.svg?branch=main)](https://github.com/cryoem-uoft/cryosparc-tools/actions/workflows/python-package.yml) Toolkit for interfacing with CryoSPARC. Read the documentation at [tools.cryosparc.com](https://tools.cryosparc.com) ## Development ### Prerequisites - Git and Git LFS - Python >= 3.7 - Miniconda3 - C compiler such as GCC or Clang ### Set Up 1. Clone this repository ```sh git clone https://github.com/cryoem-uoft/cryosparc-tools.git cd cryosparc-tools git lfs pull ``` 2. Create and activate a conda environment named "tools" with the desired python version. See the Run Example Notebooks section to install an environment ```sh conda create -n tools python=3.7 -c conda-forge conda activate tools ``` 3. Install dev dependencies and build native modules ```sh pip install -U pip wheel pip install -e ".[dev]" ``` ### Re-compile native module Recompile native modules after making changes to C code: ```sh make ``` ## Build Packages for Publishing Install build dependencies ```sh pip install -e ".[build]" ``` Run the build ```sh 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](https://jupyterbook.org/en/stable/intro.html). To build the docs, install build dependencies ```sh pip install -e ".[build]" ``` Then run Jupyter Book ```sh 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](#run-example-notebooks) section for instructions on how to run the notebooks. Inline source documentation is compiled to HTML via [Sphinx](https://www.sphinx-doc.org/en/master/index.html) and uses [Google Style Python docstrings](https://www.sphinx-doc.org/en/master/usage/extensions/example_google.html#example-google). ## 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](https://docs.conda.io/en/latest/miniconda.html) installed - CryoSPARC running at `localhost:40000` or `cryoem5:40000` (can alias `cryoem5` to localhost) Clean previous build artefacts: ```sh make clean ``` Install dependencies into a new conda environment: ```sh 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 conda activate cryosparc-tools-example pip install -U pip pip install nvidia-pyindex matplotlib~=3.4.0 pandas==1.1.4 notebook pip install "cryolo[c11]" pip install -e ".[build]" ``` Run the notebook server with the following environment variables: - `CRYOSPARC_LICENSE_ID` with Structura-issued CryoSPARC license - `CRYOSPARC_EMAIL` with a CryoSPARC user account email - `CRYOSPARC_PASSWORD` with a CryoSPARC user account password You may also need to include `LD_LIBRARY_PATH` which includes the location of CUDA Toolkit and cuDNN runtime libraries (e.g., `~/miniconda3/envs/tools/lib/python3.8/site-packages/nvidia/*/lib`). ``` CRYOSPARC_LICENSE_ID="xxxxxxxx-xxxx-xxxx-xxxxxxxxxxxx" \ CRYOSPARC_EMAIL="ali@example.com" \ CRYOSPARC_PASSWORD="password123" \ jupyter notebook ``` Find examples in `docs/examples` directory ## License cryosparc-tools is licensed under the BSD-3-Clause license.


نیازمندی

مقدار نام
~=1.15 numpy
~=0.6 python-snappy
>=3.7 typing-extensions
- build
- autodocsumm
- cython
- jupyter-book
- build
- black
- cython
- httpretty
- pyright
- pytest-benchmark
- pytest-xdist[psutil]
- pytest
- ruff


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl cryosparc-tools-4.2.0:

    pip install cryosparc-tools-4.2.0.whl


نصب پکیج tar.gz cryosparc-tools-4.2.0:

    pip install cryosparc-tools-4.2.0.tar.gz