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amwds-0.1.1


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توضیحات

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ویژگی مقدار
سیستم عامل -
نام فایل amwds-0.1.1
نام amwds
نسخه کتابخانه 0.1.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Austin Welch
ایمیل نویسنده austinmw@users.noreply.github.com
آدرس صفحه اصلی https://github.com/pyscaffold/pyscaffold/
آدرس اینترنتی https://pypi.org/project/amwds/
مجوز MIT
[![Project generated with PyScaffold](https://img.shields.io/badge/-PyScaffold-005CA0?logo=pyscaffold)](https://pyscaffold.org/) <!-- These are examples of badges you might also want to add to your README. Update the URLs accordingly. [![Built Status](https://api.cirrus-ci.com/github/<USER>/amwds.svg?branch=main)](https://cirrus-ci.com/github/<USER>/amwds) [![ReadTheDocs](https://readthedocs.org/projects/amwds/badge/?version=latest)](https://amwds.readthedocs.io/en/stable/) [![Coveralls](https://img.shields.io/coveralls/github/<USER>/amwds/main.svg)](https://coveralls.io/r/<USER>/amwds) [![PyPI-Server](https://img.shields.io/pypi/v/amwds.svg)](https://pypi.org/project/amwds/) [![Conda-Forge](https://img.shields.io/conda/vn/conda-forge/amwds.svg)](https://anaconda.org/conda-forge/amwds) [![Monthly Downloads](https://pepy.tech/badge/amwds/month)](https://pepy.tech/project/amwds) [![Twitter](https://img.shields.io/twitter/url/http/shields.io.svg?style=social&label=Twitter)](https://twitter.com/amwds) --> # amwds > Add a short description here! A longer description of your project goes here... ## Installation In order to set up the necessary environment: 1. review and uncomment what you need in `environment.yml` and create an environment `amwds` with the help of [conda]: ``` conda env create -f environment.yml ``` 2. activate the new environment with: ``` conda activate amwds ``` > **_NOTE:_** The conda environment will have amwds installed in editable mode. > Some changes, e.g. in `setup.cfg`, might require you to run `pip install -e .` again. Optional and needed only once after `git clone`: 3. install several [pre-commit] git hooks with: ```bash pre-commit install # You might also want to run `pre-commit autoupdate` ``` and checkout the configuration under `.pre-commit-config.yaml`. The `-n, --no-verify` flag of `git commit` can be used to deactivate pre-commit hooks temporarily. 4. install [nbstripout] git hooks to remove the output cells of committed notebooks with: ```bash nbstripout --install --attributes notebooks/.gitattributes ``` This is useful to avoid large diffs due to plots in your notebooks. A simple `nbstripout --uninstall` will revert these changes. Then take a look into the `scripts` and `notebooks` folders. ## Dependency Management & Reproducibility 1. Always keep your abstract (unpinned) dependencies updated in `environment.yml` and eventually in `setup.cfg` if you want to ship and install your package via `pip` later on. 2. Create concrete dependencies as `environment.lock.yml` for the exact reproduction of your environment with: ```bash conda env export -n amwds -f environment.lock.yml ``` For multi-OS development, consider using `--no-builds` during the export. 3. Update your current environment with respect to a new `environment.lock.yml` using: ```bash conda env update -f environment.lock.yml --prune ``` ## Project Organization ``` ├── AUTHORS.md <- List of developers and maintainers. ├── CHANGELOG.md <- Changelog to keep track of new features and fixes. ├── CONTRIBUTING.md <- Guidelines for contributing to this project. ├── Dockerfile <- Build a docker container with `docker build .`. ├── LICENSE.txt <- License as chosen on the command-line. ├── README.md <- The top-level README for developers. ├── configs <- Directory for configurations of model & application. ├── data │ ├── external <- Data from third party sources. │ ├── interim <- Intermediate data that has been transformed. │ ├── processed <- The final, canonical data sets for modeling. │ └── raw <- The original, immutable data dump. ├── docs <- Directory for Sphinx documentation in rst or md. ├── environment.yml <- The conda environment file for reproducibility. ├── models <- Trained and serialized models, model predictions, │ or model summaries. ├── notebooks <- Jupyter notebooks. Naming convention is a number (for │ ordering), the creator's initials and a description, │ e.g. `1.0-fw-initial-data-exploration`. ├── pyproject.toml <- Build configuration. Don't change! Use `pip install -e .` │ to install for development or to build `tox -e build`. ├── references <- Data dictionaries, manuals, and all other materials. ├── reports <- Generated analysis as HTML, PDF, LaTeX, etc. │ └── figures <- Generated plots and figures for reports. ├── scripts <- Analysis and production scripts which import the │ actual PYTHON_PKG, e.g. train_model. ├── setup.cfg <- Declarative configuration of your project. ├── setup.py <- [DEPRECATED] Use `python setup.py develop` to install for │ development or `python setup.py bdist_wheel` to build. ├── src │ └── amwds <- Actual Python package where the main functionality goes. ├── tests <- Unit tests which can be run with `pytest`. ├── .coveragerc <- Configuration for coverage reports of unit tests. ├── .isort.cfg <- Configuration for git hook that sorts imports. └── .pre-commit-config.yaml <- Configuration of pre-commit git hooks. ``` <!-- pyscaffold-notes --> ## Note This project has been set up using [PyScaffold] 4.3.1 and the [dsproject extension] 0.7.2. [conda]: https://docs.conda.io/ [pre-commit]: https://pre-commit.com/ [Jupyter]: https://jupyter.org/ [nbstripout]: https://github.com/kynan/nbstripout [Google style]: http://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings [PyScaffold]: https://pyscaffold.org/ [dsproject extension]: https://github.com/pyscaffold/pyscaffoldext-dsproject


نیازمندی

مقدار نام
- importlib-metadata
- setuptools
- pytest
- pytest-cov


نحوه نصب


نصب پکیج whl amwds-0.1.1:

    pip install amwds-0.1.1.whl


نصب پکیج tar.gz amwds-0.1.1:

    pip install amwds-0.1.1.tar.gz