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becquerel-0.5.0
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مشاهده بیشترتوضیحات
Tools for radiation spectral analysis.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | becquerel-0.5.0 |
| نام | becquerel |
| نسخه کتابخانه | 0.5.0 |
| نگهدارنده | ['The Becquerel Development Team'] |
| ایمیل نگهدارنده | ['becquerel-dev@lbl.gov'] |
| نویسنده | - |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://github.com/lbl-anp/becquerel |
| آدرس اینترنتی | https://pypi.org/project/becquerel/ |
| مجوز | Other/Proprietary License (see LICENSE.txt) |
[](https://github.com/lbl-anp/becquerel/actions/workflows/tests.yaml)
[](https://coveralls.io/github/lbl-anp/becquerel?branch=main)
[](https://pypi.org/project/becquerel)
[](https://pypi.org/project/becquerel)
[](https://github.com/psf/black)
Becquerel is a Python package for analyzing nuclear spectroscopic
measurements. The core functionalities are reading and writing different
spectrum file types, fitting spectral features, performing detector
calibrations, and interpreting measurement results. It includes tools for
plotting radiation spectra as well as convenient access to tabulated nuclear
data, and it will include fits of different spectral features. It relies
heavily on the standard scientific Python stack of numpy, scipy, matplotlib,
and pandas. It is intended to be general-purpose enough that it can be useful
to anyone from an undergraduate taking a laboratory course to the advanced
researcher.
## Installation
```bash
pip install becquerel
```
## Features in development (contributions welcome!)
- Reading additional `Spectrum` file types (N42, CHN, CSV)
- Writing `Spectrum` objects to various standard formats
- Fitting spectral features with Poisson likelihood
If you are interested in contributing or are want to install the package from
source, please see the instructions in [`CONTRIBUTING.md`](./CONTRIBUTING.md).
## Reporting issues
When reporting issues with `becquerel`, please provide a minimum working example
to help identify the problem and tag the issue as a `bug`.
## Feature requests
For a feature request, please create an issue and label it as a `new feature`.
## Dependencies
External dependencies are listed in `requirements.txt` and will be installed
automatically with the standard `pip` installation. They can also be installed
manually with the package manager of your choice (`pip`, `conda`, etc).
The dependencies `beautifulsoup4`, `lxml` and `html5lib` are necessary for
[`pandas`][1].
Developers require additional requirements which are listed in
`requirements-dev.txt`. We use [`pytest`][2] for unit testing, [`black`][3] for
code formatting and are converting to [`numpydoc`][4].
[1]: https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies
[2]: https://docs.pytest.org/en/latest/
[3]: https://black.readthedocs.io/en/stable/
[4]: https://numpydoc.readthedocs.io/en/latest/format.html
# Contribution guidelines
Contributions to `becquerel` are welcome and encouraged, whether it is
reporting bugs, requesting features, or contributing code.
Please follow these guidelines when contributing to this project.
## Developer Instructions
```bash
pip install -r requirements.txt
pip install -r requirements-dev.txt
python setup.py develop
pip install pre-commit
pre-commit install
```
(It is more convenient to use `develop` so that the code is soft-linked
from the installation directory, and the installed package will always use
the current version of code.)
We use [`pre-commit`](https://pre-commit.com/) to automatically run black.
### Running the tests
(Requires `requirements-dev.txt` to be installed)
To run the tests using `pytest`, from the root directory of the repo:
```bash
pytest
```
(`python setup.py test` is still supported also.)
By default, a code coverage report is printed to the terminal.
Tests marked `webtest` or `plottest` are by default skipped for the sake of
speed. To run all tests, clear the pre-configured markers option:
```bash
pytest -m ""
```
To produce an HTML code coverage report in directory `htmlcov`
with line-by-line highlighting:
```bash
pytest --cov-report html:htmlcov
```
## Code Style Guide
Use [google standards](https://google.github.io/styleguide/pyguide.html)
## Linter
The code style/formatting will be checked with
[`black`](https://black.readthedocs.io/en/stable/) and
[`flake8`](https://flake8.pycqa.org/en/latest/) in the CI
## Checklist for code contributions
- [ ] Branch off of `main`
- [ ] Develop the feature or fix
- [ ] Write tests to cover all use cases
- [ ] Ensure all tests pass (`pytest`)
- [ ] Ensure test coverage is >95%
- [ ] Autoformat (`black .`)
- [ ] Spellcheck your code and docstrings
- [ ] Push branch to GitHub and create a pull request to `main`
## Copyright Notice
becquerel (bq) Copyright (c) 2017-2021, The Regents of the University of
California, through Lawrence Berkeley National Laboratory (subject to receipt
of any required approvals from the U.S. Dept. of Energy) and University of
California, Berkeley. All rights reserved.
If you have questions about your rights to use or distribute this software,
please contact Berkeley Lab's Intellectual Property Office at
IPO@lbl.gov.
NOTICE. This Software was developed under funding from the U.S. Department
of Energy and the U.S. Government consequently retains certain rights. As
such, the U.S. Government has been granted for itself and others acting on
its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the
Software to reproduce, distribute copies to the public, prepare derivative
works, and perform publicly and display publicly, and to permit others to do so.
نیازمندی
| مقدار | نام |
|---|---|
| - | asteval |
| - | beautifulsoup4 |
| >=22.1.0 | black |
| - | future |
| - | h5py |
| - | html5lib |
| - | iminuit |
| - | llvmlite |
| - | lmfit |
| - | lxml |
| - | matplotlib |
| >=0.47.0 | numba |
| - | numdifftools |
| - | numpy |
| - | pandas |
| - | python-dateutil |
| - | requests |
| - | scipy |
| - | setuptools |
| >=3.0.3 | uncertainties |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl becquerel-0.5.0:
pip install becquerel-0.5.0.whl
نصب پکیج tar.gz becquerel-0.5.0:
pip install becquerel-0.5.0.tar.gz