Python库 | galaxies_datasets-0.1.0.tar.gz

# -*- coding: utf-8 -*- from setuptools import setup package_dir = \ {'': 'src'} packages = \ ['galaxies_datasets', 'galaxies_datasets.datasets', 'galaxies_datasets.datasets.eagle', 'galaxies_datasets.datasets.galaxy_zoo_2', 'galaxies_datasets.datasets.galaxy_zoo_challenge', 'galaxies_datasets.datasets.galaxy_zoo_decals', 'galaxies_datasets.scripts', 'galaxies_datasets.scripts.documentation', 'galaxies_datasets.scripts.eagle'] package_data = \ {'': ['*'], 'galaxies_datasets.datasets.eagle': ['dummy_data/RecalL0025N0752/27/*', 'dummy_data/RecalL0025N0752/27/images/*', 'dummy_data/RefL0025N0376/27/*', 'dummy_data/RefL0025N0376/27/images/*', 'dummy_data/RefL0025N0752/27/*', 'dummy_data/RefL0025N0752/27/images/*', 'dummy_data/RefL0100N1504/27/*', 'dummy_data/RefL0100N1504/27/images/*'], 'galaxies_datasets.datasets.galaxy_zoo_2': ['dummy_data/galaxy_zoo_2/*', 'dummy_data/galaxy_zoo_2/images/*'], 'galaxies_datasets.datasets.galaxy_zoo_challenge': ['dummy_data/galaxy_zoo_challenge/*', 'dummy_data/galaxy_zoo_challenge/images_test_rev1/*', 'dummy_data/galaxy_zoo_challenge/images_training_rev1/*'], 'galaxies_datasets.datasets.galaxy_zoo_decals': ['dummy_data/galaxy_zoo_decals/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J004/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J005/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J022/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J074/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J075/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J081/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J084/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J085/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J092/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part1/J100/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part2/J112/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part2/J125/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part3/J124/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part3/J133/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part3/J134/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part4/J151/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part4/J152/*', 'dummy_data/galaxy_zoo_decals/gz_decals_dr5_png_part4/J164/*']} install_requires = \ ['eagleSqlTools>=2.0.0,<3.0.0', 'pandas>=1.3.2,<2.0.0', 'tensorflow-datasets>=4.4.0,<5.0.0', 'tensorflow>=2.6.0,<3.0.0', 'typer>=0.4.0,<0.5.0'] entry_points = \ {'console_scripts': ['galaxies_datasets = galaxies_datasets.__main__:app']} setup_kwargs = { 'name': 'galaxies-datasets', 'version': '0.1.0', 'description': 'Galaxies Datasets', 'long_description': 'Galaxies Datasets\n=================\n\n|header|\n\n.. |header| image:: header.png\n :alt: Galaxies Datasets\n\n|PyPI| |Status| |Python Version| |License|\n\n|Read the Docs| |Tests| |Codecov|\n\n|pre-commit| |Black|\n\n.. |PyPI| image:: https://img.shields.io/pypi/v/galaxies_datasets.svg\n :target: https://pypi.org/project/galaxies_datasets/\n :alt: PyPI\n.. |Status| image:: https://img.shields.io/pypi/status/galaxies_datasets.svg\n :target: https://pypi.org/project/galaxies_datasets/\n :alt: Status\n.. |Python Version| image:: https://img.shields.io/pypi/pyversions/galaxies_datasets\n :target: https://pypi.org/project/galaxies_datasets\n :alt: Python Version\n.. |License| image:: https://img.shields.io/pypi/l/galaxies_datasets\n :target: https://opensource.org/licenses/MIT\n :alt: License\n.. |Read the Docs| image:: https://img.shields.io/readthedocs/galaxies_datasets/latest.svg?label=Read%20the%20Docs\n :target: https://galaxies_datasets.readthedocs.io/\n :alt: Read the documentation at https://galaxies_datasets.readthedocs.io/\n.. |Tests| image:: https://github.com/lbignone/galaxies_datasets/workflows/Tests/badge.svg\n :target: https://github.com/lbignone/galaxies_datasets/actions?workflow=Tests\n :alt: Tests\n.. |Codecov| image:: https://codecov.io/gh/lbignone/galaxies_datasets/branch/main/graph/badge.svg\n :target: https://codecov.io/gh/lbignone/galaxies_datasets\n :alt: Codecov\n.. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white\n :target: https://github.com/pre-commit/pre-commit\n :alt: pre-commit\n.. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg\n :target: https://github.com/psf/black\n :alt: Black\n\n\n*Galaxies Datasets* is a collection of ready-to-use extragalactic astronomy datasets\nfor use with TensorFlow, Jax, and other Machine Learning frameworks.\n\nIt follows the `tensorflow_datasets`_ framework, making it very easy to switch\nbetween different datasets. All datasets are exposed as `tf.data.Datasets`_, enabling\neasy-to-use and high-performance input pipelines.\n\n\nUsage\n-----\n\nLoading a dataset can be as easy as:\n\n.. code-block:: python\n\n from galaxies_datasets import datasets\n import tensorflow_datasets as tfds\n\n # Construct a tf.data.Dataset\n ds = tfds.load("galaxy_zoo_challenge", split="train")\n\n # Build your input pipeline\n ds = ds.shuffle(1000).batch(128).prefetch(10).take(5)\n\nIn the example above:\n\n.. code-block:: python\n\n from galaxies_datasets import datasets\n\nregisters the collection of galactic datasets with the `tensorflow_datasets`_ package\nmaking them available through its API. And that is it! ...Almost.\n\nFor more details on tensorflow_datasets check out the `documentation`_.\n\nSome datasets require that you first manually download data. Check each dataset for\ninstructions.\n\n\nDatasets\n--------\n\nCurrently `available datasets`_ focus on galaxy morphology.\n\nThey include observational data from the `Galaxy zoo project`_:\n\n- galaxy_zoo_challenge\n- galaxy_zoo2\n- galaxy_zoo_decals\n\nAs well as mock galaxy images from the `EAGLE simulation`_:\n\n- eagle\n\n\nInstallation\n------------\n\nYou can install *Galaxies Datasets* via pip_ from PyPI_:\n\n.. code:: console\n\n $ pip install galaxies_datasets\n\n\nScripts\n-------\n\n*Galaxies Datasets* provides some scripts to download and prepare data. The scripts\nare available through a command-line interface powered by `Typer`_.\n\nFor example, to download images and data from the EAGLE simulation you could simply do::\n\n galaxies_datasets eagle download USER SIMULATION\n\nwhere USER is your username for the EAGLE public database and SIMULATION is the name\nof one of the EAGLE simulations.\n\nFor all available commands check the `Command-line Interface`_ reference, or run::\n\n galaxies_datasets --he