Your message dated Wed, 18 Jan 2023 11:22:19 +0100 with message-id <22e5d72f-96f7-69de-dbe3-f064562e1292@xs4all.nl> and subject line Re: ITP: numpy-groupies -- Optimised tools for group-indexing operations: aggregated sum and more has caused the Debian Bug report #954384, regarding ITP: numpy-groupies -- Optimised tools for group-indexing operations: aggregated sum and more to be marked as done. This means that you claim that the problem has been dealt with. If this is not the case it is now your responsibility to reopen the Bug report if necessary, and/or fix the problem forthwith. (NB: If you are a system administrator and have no idea what this message is talking about, this may indicate a serious mail system misconfiguration somewhere. Please contact owner@bugs.debian.org immediately.) -- 954384: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=954384 Debian Bug Tracking System Contact owner@bugs.debian.org with problems
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- To: Debian Bug Tracking System <submit@bugs.debian.org>
- Subject: ITP: numpy-groupies -- Optimised tools for group-indexing operations: aggregated sum and more
- From: Diane Trout <diane@ghic.org>
- Date: Fri, 20 Mar 2020 21:14:21 -0700
- Message-id: <158476406137.72498.11129003268355574737.reportbug@amarana.ghic.org>
Package: wnpp Severity: wishlist Subject: ITP: numpy-groupies -- Optimised tools for group-indexing operations: aggregated sum and more Package: wnpp Owner: Diane Trout <diane@ghic.org> Severity: wishlist * Package name : numpy-groupies Version : 0.9.10 Upstream Author : Copyright: Copyright (c) 2016, numpy-groupies developers * URL : https://github.com/ml31415/numpy-groupies * License : BSD-2-Clause-numpy-groupes Programming Lang: Python Description : Optimised tools for group-indexing operations: aggregated sum and more This package consists of a couple of optimised tools for doing things that can roughly be considered "group-indexing operations". The most prominent tool is aggregate. . aggregate takes an array of values, and an array giving the group number for each of those values. It then returns the sum (or mean, or std, or any, ...etc.) of the values in each group. You have probably come across this idea before, using `matlab` accumarray, `pandas` groupby, or generally MapReduce algorithms and histograms. . There are different implementations of aggregate provided, based on plain numpy, numba and weave. Performance is a main concern, and so far the benchmarks comfortably beat similar implementations in other packages. Remark: This package is maintained by Debian Python Modules Team at https://salsa.debian.org/python-team/modules/numpy-groupies
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--- Begin Message ---
- To: 954384-done@bugs.debian.org
- Subject: Re: ITP: numpy-groupies -- Optimised tools for group-indexing operations: aggregated sum and more
- From: Sebastiaan Couwenberg <sebastic@xs4all.nl>
- Date: Wed, 18 Jan 2023 11:22:19 +0100
- Message-id: <22e5d72f-96f7-69de-dbe3-f064562e1292@xs4all.nl>
- In-reply-to: <158476406137.72498.11129003268355574737.reportbug@amarana.ghic.org>
- References: <158476406137.72498.11129003268355574737.reportbug@amarana.ghic.org> <158476406137.72498.11129003268355574737.reportbug@amarana.ghic.org>
numpy-groupies is already in Debian: https://tracker.debian.org/pkg/python-numpy-groupies ITP: #948184 Kind Regards, Bas -- GPG Key ID: 4096R/6750F10AE88D4AF1 Fingerprint: 8182 DE41 7056 408D 6146 50D1 6750 F10A E88D 4AF1
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