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coffea-2023.4.0rc3


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توضیحات

Tools for doing Collider HEP style analysis with columnar operations
ویژگی مقدار
سیستم عامل -
نام فایل coffea-2023.4.0rc3
نام coffea
نسخه کتابخانه 2023.4.0rc3
نگهدارنده ['Lindsey Gray (Fermilab)']
ایمیل نگهدارنده ['lagray@fnal.gov']
نویسنده Lindsey Gray (Fermilab)
ایمیل نویسنده lagray@fnal.gov
آدرس صفحه اصلی https://github.com/CoffeaTeam/coffea
آدرس اینترنتی https://pypi.org/project/coffea/
مجوز BSD 3-clause
.. inclusion-marker-1-5-do-not-remove coffea is a prototype package for pulling together all the typical needs of a high-energy collider physics (HEP) experiment analysis using the scientific python ecosystem. It makes use of `uproot <https://github.com/scikit-hep/uproot4>`_ and `awkward-array <https://github.com/scikit-hep/awkward-1.0>`_ to provide an array-based syntax for manipulating HEP event data in an efficient and numpythonic way. There are sub-packages that implement histogramming, plotting, and look-up table functionalities that are needed to convey scientific insight, apply transformations to data, and correct for discrepancies in Monte Carlo simulations compared to data. coffea also supplies facilities for horizontally scaling an analysis in order to reduce time-to-insight in a way that is largely independent of the resource the analysis is being executed on. By making use of modern *big-data* technologies like `Apache Spark <https://spark.apache.org/>`_, `parsl <https://github.com/Parsl/parsl>`_, `Dask <https://dask.org>`_ , and `Work Queue <http://ccl.cse.nd.edu/software/workqueue>`_, it is possible with coffea to scale a HEP analysis from a testing on a laptop to: a large multi-core server, computing clusters, and super-computers without the need to alter or otherwise adapt the analysis code itself. coffea is a HEP community project collaborating with `iris-hep <http://iris-hep.org/>`_ and is currently a prototype. We welcome input to improve its quality as we progress towards a sensible refactorization into the scientific python ecosystem and a first release. Please feel free to contribute at our `github repo <https://github.com/CoffeaTeam/coffea>`_! .. inclusion-marker-2-do-not-remove Installation ============ Install coffea like any other Python package: .. code-block:: bash pip install coffea or similar (use ``sudo``, ``--user``, ``virtualenv``, or pip-in-conda if you wish). For more details, see the `Installing coffea <https://coffeateam.github.io/coffea/installation.html>`_ section of the documentation. Strict dependencies =================== - `Python <http://docs.python-guide.org/en/latest/starting/installation/>`__ (3.6+) The following are installed automatically when you install coffea with pip: - `numpy <https://scipy.org/install.html>`__ (1.15+); - `uproot <https://github.com/scikit-hep/uproot4>`__ for interacting with ROOT files and handling their data transparently; - `awkward-array <https://github.com/scikit-hep/awkward-1.0>`__ to manipulate complex-structured columnar data, such as jagged arrays; - `numba <https://numba.pydata.org/>`__ just-in-time compilation of python functions; - `scipy <https://scipy.org/scipylib/index.html>`__ for many statistical functions; - `matplotlib <https://matplotlib.org/>`__ as a plotting backend; - and other utility packages, as enumerated in ``setup.py``.


نیازمندی

مقدار نام
<2,>=1.10.3 awkward
!=4.2.4,!=4.3.0,!=4.3.1,==4.*,>=4.1.6 uproot
>=0.10.0 uproot3-methods
>=3.14.1 uproot3
>=2.0.0 correctionlib
>=1.0.0 pyarrow
- fsspec
>=3 matplotlib
>=1.1.0 scipy
>=4.27.0 tqdm
- lz4
>=1.2.3 cloudpickle
>=0.10.2 toml
>=0.1.18 mplhep
- packaging
- pandas
>=2 hist
- cachetools
>=0.50.0 numba
<1.22,>=1.16.0 numpy
- dataclasses
- typing-extensions
>=0.56.0 numba
<1.24,>=1.18.0 numpy
>=2.6.0 dask[dataframe]
>=2.6.0 distributed
>=1.3.4 bokeh
- blosc
- flake8
- black
- pytest
- pytest-cov
- pytest-mpl
- pytest-asyncio
- pytest-mock
- sphinx
- nbsphinx
- sphinx-rtd-theme
- sphinx-automodapi
>=0.3.2 sphinx-copybutton
- pyinstrument
- ipython
>=1.1 parsl
- aiostream
- tenacity
>=2.5.3 servicex
- func-adl-servicex
- ipywidgets
<3.0.0,>=2.4.1 pyspark
- jinja2


نحوه نصب


نصب پکیج whl coffea-2023.4.0rc3:

    pip install coffea-2023.4.0rc3.whl


نصب پکیج tar.gz coffea-2023.4.0rc3:

    pip install coffea-2023.4.0rc3.tar.gz