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pyproject.toml
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pyproject.toml
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[build-system]
requires = ['setuptools>=61.0']
build-backend = 'setuptools.build_meta'
[project]
name = 'mercury-reels'
version = '1.4.5'
description = 'Reels helps identify patterns in event data and can predict target events.'
license = {file = "LICENSE.txt"}
requires-python = '>=3.8'
classifiers = ['Programming Language :: Python :: 3',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent']
keywords = ['event detection', 'event prediction', 'time series']
authors = [{name = 'Mercury Team', email = 'mercury.group@bbva.com'}]
readme = 'README.md'
[tool.setuptools]
package-dir = {'' = 'src'}
[tool.setuptools.packages.find]
where = ['src']
# setuptools.setup(
# ...
# long_description = """ Reels is a library to analyze sequences of events extracted from transactional data. These events can be
# automatically discovered or manually defined. Reels identifies events by assigning them event codes and creates clips, which are
# sequences of (code, time of occurrence) tuples for each client. Using these clips, a model can be generated to predict the time at
# which target events may occur in the future.""",
# url = 'https://github.com/BBVA/mercury-reels',
# platforms = ['Linux', 'MacOS', 'Windows'],
# ...
# )