On 3 November 2015 at 14:57, Nathaniel Smith <[email protected]> wrote: > [Adding distutils-sig to the CC as a heads-up. The context is that > numpy is looking at deprecating the use of 'python setup.py install' > and enforcing the use of 'pip install .' instead, and running into > some issues that will probably need to be addressed if 'pip install .' > is going to become the standard interface to work with source trees.] > > On Sun, Nov 1, 2015 at 3:16 PM, Ralf Gommers <[email protected]> wrote: > [...] >> Hmm, after some more testing I'm going to have to bring up a few concerns >> myself: >> >> 1. ``pip install .`` still has a clear bug; it starts by copying everything >> (including .git/ !) to a tempdir with shutil, which is very slow. And the >> fix for that will go via ``setup.py sdist``, which is still slow. > > Ugh. If 'pip (install/wheel) .' is supposed to become the standard way > to build things, then it should probably build in-place by default. > Working in a temp dir makes perfect sense for 'pip install > <requirement>' or 'pip install <url>', but if the user supplies an > actual named on-disk directory then presumably the user is expecting > this directory to be used, and to be able to take advantage of > incremental rebuilds etc., no?
Thats what 'pip install -e .' does. 'setup.py develop' -> 'pip install -e .' >> 3. ``pip install .`` refuses to upgrade an already installed development >> version. For released versions that makes sense, but if I'm in a git tree >> then I don't want it to refuse because 1.11.0.dev0+githash1 compares equal >> to 1.11.0.dev0+githash2. Especially after waiting a few minutes, see (1). > > Ugh, this is clearly just a bug -- `pip install .` should always > unconditionally install, IMO. (Did you file a bug yet?) At least the > workaround is just 'pip uninstall numpy; pip install .', which is > still better the running 'setup.py install' and having it blithely > overwrite some files and not others. There is a bug open. https://github.com/pypa/pip/issues/536 -Rob -- Robert Collins <[email protected]> Distinguished Technologist HP Converged Cloud _______________________________________________ Distutils-SIG maillist - [email protected] https://mail.python.org/mailman/listinfo/distutils-sig
