tableau /
TabPy
| Conditions | 1 |
| Total Lines | 89 |
| Code Lines | 78 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
| 1 | """Web server Tableau uses to run Python scripts. |
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| 16 | def setup_package(): |
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| 17 | def read(fname): |
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| 18 | return open(os.path.join(os.path.dirname(__file__), fname)).read() |
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| 19 | |||
| 20 | setup( |
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| 21 | name="tabpy", |
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| 22 | version=read("tabpy/VERSION"), |
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| 23 | description=DOCLINES[0], |
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| 24 | long_description="\n".join(DOCLINES[1:]) + "\n" + read("CHANGELOG"), |
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| 25 | long_description_content_type="text/markdown", |
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| 26 | url="https://github.com/tableau/TabPy", |
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| 27 | author="Tableau", |
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| 28 | author_email="[email protected]", |
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| 29 | maintainer="Tableau", |
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| 30 | maintainer_email="[email protected]", |
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| 31 | download_url="https://pypi.org/project/tabpy", |
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| 32 | project_urls={ |
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| 33 | "Bug Tracker": "https://github.com/tableau/TabPy/issues", |
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| 34 | "Documentation": "https://tableau.github.io/TabPy/", |
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| 35 | "Source Code": "https://github.com/tableau/TabPy", |
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| 36 | }, |
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| 37 | classifiers=[ |
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| 38 | "Development Status :: 5 - Production/Stable", |
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| 39 | "Intended Audience :: Developers", |
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| 40 | "Intended Audience :: Science/Research", |
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| 41 | "License :: OSI Approved :: MIT License", |
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| 42 | "Programming Language :: Python :: 3.9", |
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| 43 | "Programming Language :: Python :: 3.10", |
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| 44 | "Programming Language :: Python :: 3.11", |
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| 45 | "Programming Language :: Python :: 3.12", |
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| 46 | "Topic :: Scientific/Engineering", |
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| 47 | "Topic :: Scientific/Engineering :: Information Analysis", |
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| 48 | "Operating System :: Microsoft :: Windows", |
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| 49 | "Operating System :: POSIX", |
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| 50 | "Operating System :: Unix", |
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| 51 | "Operating System :: MacOS", |
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| 52 | ], |
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| 53 | platforms=["Windows", "Linux", "Mac OS-X", "Unix"], |
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| 54 | keywords=["tabpy tableau"], |
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| 55 | packages=find_packages(exclude=["docs", "misc"]), |
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| 56 | package_data={ |
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| 57 | "tabpy": [ |
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| 58 | "VERSION", |
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| 59 | "tabpy_server/state.ini.template", |
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| 60 | "tabpy_server/static/*", |
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| 61 | "tabpy_server/common/default.conf", |
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| 62 | ] |
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| 63 | }, |
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| 64 | python_requires=">=3.7", |
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| 65 | license="MIT", |
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| 66 | # Note: many of these required packages are included in base python |
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| 67 | # but are listed here because different linux distros use custom |
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| 68 | # python installations. And users can remove packages at any point |
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| 69 | install_requires=[ |
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| 70 | "cloudpickle", |
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| 71 | "configparser", |
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| 72 | "coverage", |
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| 73 | "coveralls", |
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| 74 | "docopt", |
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| 75 | "future", |
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| 76 | "genson", |
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| 77 | "hypothesis", |
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| 78 | "jsonschema", |
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| 79 | "mock", |
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| 80 | "nltk", |
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| 81 | "numpy", |
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| 82 | "pandas", |
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| 83 | "pyopenssl", |
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| 84 | "pytest", |
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| 85 | "pytest-cov", |
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| 86 | "requests", |
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| 87 | "scipy", |
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| 88 | "simplejson", |
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| 89 | "scikit-learn", |
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| 90 | "textblob", |
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| 91 | "tornado", |
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| 92 | "twisted", |
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| 93 | "urllib3", |
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| 94 | "pyarrow", |
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| 95 | ], |
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| 96 | entry_points={ |
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| 97 | "console_scripts": [ |
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| 98 | "tabpy=tabpy.tabpy:main", |
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| 99 | "tabpy-deploy-models=tabpy.models.deploy_models:main", |
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| 100 | "tabpy-user=tabpy.utils.tabpy_user:main", |
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| 101 | ], |
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| 102 | }, |
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| 103 | setup_requires=["pytest-runner"], |
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| 104 | test_suite="pytest", |
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| 105 | ) |
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| 110 |
