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cellpack-1.0.3


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توضیحات

algorthim to pack molecular recipes
ویژگی مقدار
سیستم عامل -
نام فایل cellpack-1.0.3
نام cellpack
نسخه کتابخانه 1.0.3
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Megan Riel-Mehan
ایمیل نویسنده meganr@alleninstitute.org
آدرس صفحه اصلی https://github.com/mesoscope/cellpack
آدرس اینترنتی https://pypi.org/project/cellpack/
مجوز MIT license
# cellPack [![Build Status](https://github.com/mesoscope/cellpack/workflows/Build%20Main/badge.svg)](https://github.com/mesoscope/cellpack/actions) [![Documentation](https://github.com/mesoscope/cellpack/workflows/Documentation/badge.svg)](https://mesoscope.github.io/cellpack/) [![Code Coverage](https://codecov.io/gh/mesoscope/cellpack/branch/main/graph/badge.svg)](https://codecov.io/gh/mesoscope/cellpack) algorithm to pack molecular recipes ### Setup 1. create a virtual env: `conda create -n autopack` 2. `activate autopack` 3. `pip install -e .[dev]` ### Run analysis code By default analyze will run all packing methods on `cellpack/test-recipes/NM_Analysis_FigureB1.0.json Examples: * `analyze -o [PATH/TO/OUTPUT/FOLDER]` will create subfolders for each packing method at your output folder * To run just one packing method: `analyze -o [PATH/TO/OUTPUT/FOLDER] -p jitter` * To change the dimension of the packing: `analyze -r cellpack/test-recipes/NM_Analysis_FigureC1.json -o /Users/meganriel-mehan/Dropbox/cellPack/NM_Analysis_C_1 -d 3` * Turn off plotly plot: `analyze -o [PATH/TO/OUTPUT/FOLDER] -ng` or `analyze -o [PATH/TO/OUTPUT/FOLDER] --no-grid-plot` ### Run conversion code * To convert to simularium and view at https://staging.simularium.allencell.org/viewer `convert -r [FULL_PATH_TO_INPUT_RECIPE_FILE] -p [FULL_PATH_TO_PACKING_RESULT] -o [OUTPUT_PATH]` ## Installation **Stable Release:** `pip install cellpack`<br> **Development Head:** `pip install git+https://github.com/mesoscope/cellpack.git` ## Documentation For full package documentation please visit [mesoscope.github.io/cellpack](https://mesoscope.github.io/cellpack). ## Development See [CONTRIBUTING.md](CONTRIBUTING.md) for information related to developing the code. ### Contributing cheat sheet 1. `pip install -e .[dev]` This will install your package in editable mode with all the required development dependencies (i.e. `tox`). 2. `make build` This will run `tox` which will run all your tests in both Python 3.7 and Python 3.8 as well as linting your code. 3. `make clean` This will clean up various Python and build generated files so that you can ensure that you are working in a clean environment. 4. `make docs` This will generate and launch a web browser to view the most up-to-date documentation for your Python package. #### Suggested Git Branch Strategy 1. `main` is for the most up-to-date development, very rarely should you directly commit to this branch. GitHub Actions will run on every push and on a CRON to this branch but still recommended to commit to your development branches and make pull requests to main. If you push a tagged commit with bumpversion, this will also release to PyPI. 2. Your day-to-day work should exist on branches separate from `main`. Even if it is just yourself working on the repository, make a PR from your working branch to `main` so that you can ensure your commits don't break the development head. GitHub Actions will run on every push to any branch or any pull request from any branch to any other branch. 3. It is recommended to use "Squash and Merge" commits when committing PR's. It makes each set of changes to `main` atomic and as a side effect naturally encourages small well defined PR's. **MIT license**


نیازمندی

مقدار نام
>=0.4.0 fire
>=3.3.4 matplotlib
>=1.19.2 numpy
==1.10.10 panda3d
==2.0.1 pmw
>=1.6.2 scipy
>=1.2.0 simulariumio
>=5.3.1 plotly
==0.7.2 pycollada
>=0.1.8 pyembree
>=6.2.0 pymunk
>=3.9.34 trimesh
>=0.4.0 fire
>=3.3.4 matplotlib
>=1.19.2 numpy
==1.10.10 panda3d
==2.0.1 pmw
>=1.6.2 scipy
>=1.2.0 simulariumio
>=5.3.1 plotly
==0.7.2 pycollada
>=0.1.8 pyembree
>=6.2.0 pymunk
>=3.9.34 trimesh
>=5.2 pytest-runner
>=19.10b0 black
>=2.1.4 codecov
>=3.8.3 flake8
>=3.2.1 flake8-debugger
>=5.4.3 pytest
>=2.9.0 pytest-cov
>=0.11 pytest-raises
>=1.0.1 bump2version
>=5.1 coverage
>=7.15.0 ipython
>=0.2.7 m2r2
>=3.4.3 Sphinx
>=0.5.1 sphinx-rtd-theme
>=3.15.2 tox
>=3.1.1 twine
>=0.34.2 wheel
>=5.2 pytest-runner
>=19.10b0 black
>=2.1.4 codecov
>=3.8.3 flake8
>=3.2.1 flake8-debugger
>=5.4.3 pytest
>=2.9.0 pytest-cov
>=0.11 pytest-raises
>=1.0.1 bump2version
>=5.1 coverage
>=7.15.0 ipython
>=0.2.7 m2r2
>=3.4.3 Sphinx
>=0.5.1 sphinx-rtd-theme
>=3.15.2 tox
>=3.1.1 twine
>=0.34.2 wheel
>=5.2 pytest-runner
>=19.10b0 black
>=2.1.4 codecov
>=3.8.3 flake8
>=3.2.1 flake8-debugger
>=5.4.3 pytest
>=2.9.0 pytest-cov
>=0.11 pytest-raises


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl cellpack-1.0.3:

    pip install cellpack-1.0.3.whl


نصب پکیج tar.gz cellpack-1.0.3:

    pip install cellpack-1.0.3.tar.gz