Path: csiph.com!news.redatomik.org!aioe.org!bofh.it!news.nic.it!robomod From: Diane Trout Newsgroups: linux.debian.maint.python Subject: Re: Python 3 Statsmodels & Pandas Date: Tue, 26 Sep 2017 20:40:03 +0200 Message-ID: References: X-Original-To: Andreas Tille X-Mailbox-Line: From debian-python-request@lists.debian.org Tue Sep 26 18:36:43 2017 Old-Return-Path: X-Amavis-Spam-Status: No, score=-7 tagged_above=-10000 required=5.3 tests=[BAYES_00=-2, LDO_WHITELIST=-5] autolearn=unavailable autolearn_force=no X-Policyd-Weight: using cached result; rate: -6.1 Content-Type: text/plain; charset="UTF-8" X-Mailer: Evolution 3.26.0-1 MIME-Version: 1.0 Content-Transfer-Encoding: 7bit X-Mailing-List: archive/latest/15238 List-ID: List-URL: List-Archive: https://lists.debian.org/msgid-search/1506450977.360.23.camel@ghic.org Approved: robomod@news.nic.it Lines: 44 Organization: linux.* mail to news gateway Sender: robomod@news.nic.it X-Original-Cc: Yaroslav Halchenko , debian-science@lists.debian.org, debian-python@lists.debian.org X-Original-Date: Tue, 26 Sep 2017 11:36:17 -0700 X-Original-Message-ID: <1506450977.360.23.camel@ghic.org> X-Original-References: <20170921142257.6gupvrivzy7i4kjy@an3as.eu> <1506030538.8283.18.camel@ghic.org> <999FD731-B9FF-4C58-8ADD-1A0D6AE2EE03@onerussian.com> <1506031417.8283.21.camel@ghic.org> <20170922022453.j4lmbuq2ekwuoq2a@hopa.kiewit.dartmouth.edu> <1506057119.13211.6.camel@ghic.org> <1506277450.8802.18.camel@ghic.org> <1506321943.8802.28.camel@ghic.org> <20170925074444.r66acejpfa6f5f4n@an3as.eu> <1506400603.14529.19.camel@ghic.org> <20170926070214.jygpoikxmpxm42hx@an3as.eu> Xref: csiph.com linux.debian.maint.python:9856 > > Below is what I've found so far, (before getting tired of licensing > > issues) > > > > Any thoughts about how to handle this? > > I wonder how this was dealt with before? If that much data sets were > needed to build the docs, how did the doc generation process worked > before? Perhaps the earlier packages weren't built using a tool that disables network access? the get_rdataset function will attempt to download the file first. Although it hurts reproducibility, that is certainly a simpler solution. > > BTW, I'd love if you would merge your work to master branch. I'm a > bit > confused by the amount of branches and lost track which one to look > at. I verified which was which and deleted the obsolete branch. use detrout-python3-try2 (the only detrout branch that should be left) > > > The files are being downloaded from this github repository. > > > > https://github.com/vincentarelbundock/Rdatasets a useful index of > > the > > datasets is > > http://vincentarelbundock.github.com/Rdatasets/datasets.html > > This reminds me to the debian/README.source files ftpmaster once > suggested for R packages[1]. May be that's an apropriate way to > document the licenses? Feel free to find examples for instance > in the package r-cran-ape. I really wish that listing the citation for these early scientific datasets counted as complying with the license. Diane