pkgsrc/devel/py-joblib/distinfo

$NetBSD: distinfo,v 1.1 2018/07/06 03:13:36 minskim Exp $

SHA1 (joblib-0.12.0.tar.gz) = ae439302ce1fe82e629005e3d917eeecb9dc06ec
RMD160 (joblib-0.12.0.tar.gz) = b4792fdfb3ae5e6a10a371033a9c5ea2f7f4508e
SHA512 (joblib-0.12.0.tar.gz) = 42d0dadf4a454b889dac13ffb2b69770b9d2cdc3d40609b78929d8d8a23b47bdd2b1d5964885431385f77b88c17e860e9421023b0340df440621b0c818c34cd5
Size (joblib-0.12.0.tar.gz) = 1466761 bytes
devel/py-joblib: Import version 0.12.0 Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers transparent disk-caching of the output values and lazy re-evaluation (memoize pattern), easy simple parallel computing, and logging and tracing of the execution. Joblib is optimized to be fast and robust in particular on large data and has specific optimizations for numpy arrays. Packaged by Kamel Ibn Aziz Derouiche for pkgsrc-wip and updated by me. 2018-07-06 05:13:36 +02:00			$NetBSD: distinfo,v 1.1 2018/07/06 03:13:36 minskim Exp $

			`SHA1 (joblib-0.12.0.tar.gz) = ae439302ce1fe82e629005e3d917eeecb9dc06ec`
			`RMD160 (joblib-0.12.0.tar.gz) = b4792fdfb3ae5e6a10a371033a9c5ea2f7f4508e`
			`SHA512 (joblib-0.12.0.tar.gz) = 42d0dadf4a454b889dac13ffb2b69770b9d2cdc3d40609b78929d8d8a23b47bdd2b1d5964885431385f77b88c17e860e9421023b0340df440621b0c818c34cd5`
			`Size (joblib-0.12.0.tar.gz) = 1466761 bytes`