Are you building from the master branch? Copy link Perprexd commented Oct 22, 2017. But the motivation was not any limitation of wheels; for complex reasons they wanted the installation on Windows to generate the foo-script.py launcher scripts, whereas pip now appends the script to the foo.exe launcher when you install from a wheel. I believe that --no-binary :all: skips the “create a wheel/install a wheel” step and instead invokes something like python setup.py install on the source distribution, installing the package directly without creating an intermediate wheel. @jonsnowseven @LePoulpeOrange - it would be good if you could both add to this issue, the complete output of your pip commands, I need to check which version/file pip looks for on PyPi. Installing from Wheels¶ “Wheel” is a built, archive format that can greatly speed installation compared to building and installing from source archives. Update pip and setuptools to the latest version before installing imagecodecs: python -m pip install --upgrade pip setuptools. I just need to prevent consumption of externally built wheels. I'm building outside of Conda, following the directions in the docs— I've built llvm 8.0 with the supplied patches, which succeeded (but only after doing export RECIPE_DIR=/path/to/llvmlite/conda-recipes/llvmdev— that probably ought to be in the docs). Here's the output of CXXFLAGS='-fPIC' python -m pip install -U git+https://github.com/numba/llvmlite.git: Sorry, didn't want to spam the issue with the entire output but it seems inevitable. @karolyi thanks for following up on this issue. I don’t think there’s anything special here except figuring out the right time to deprecate it and how long it should remain deprecated until it’s killed. That was many years ago at this point, and we’re trying to figure out if there are still projects like that, and if so why can’t they be installed via a wheel file. However, pip introduced the --no-binary option specifically to allow for packages that cannot be installed via wheel (see this comment and this issue). Now I distribute the python lib by installing CMake, a C++ compiler and SWIG for … We believe that very few packages would be affected by this. My several year old memory at this point is that there were some projects that didn’t install correctly when they went through a wheel (typically because they had some sort of logic in their setup.py that did something wrong when you went through a wheel) and some of those projects changed themselves to raise an error if you tried to build a wheel from them. Before reading further, you may want to check and see if there are alreadysome wxPython wheels available for your flavor of Linux. The worst case now is likely to be the odd unmaintained project that someone else has as a dependency. More details and some links are on the download page.If there are no existing wheels there for your distro, (or perhaps a closerelative,) then read on to find out why we can't just provide wheels forall Linuxes, and what you need to build one for yourself. Deprecate then remove is fine with me, I just don’t know how we’d necessarily spot the cases which would fail after the removal, so that we can issue the warning (just warning on every use of --no-binary is too broad). A few are built aspart of the release process and are available from one of wxPython'sservers. Powered by Discourse, best viewed with JavaScript enabled, Pip options for controlling use of prebuilt packages, Support for build-and-run-time dependencies, PEP 517 and projects that can't install via wheels. I use CMake to build the old program to make it running on both Linux, macOS and Windows. the workaround is to install the wheel package. CXXFLAGS='-fPIC' python -m pip install -U git+https://github.com/numba/llvmlite.git builds from master, so the answer would be no. Also tried to build with pip from master (CXXFLAGS='-fPIC' python -m pip install -U git+https://github.com/numba/llvmlite.git) but to avail. It'd be nice if pip install llvmlite built a local wheel instead of just calling setup.py install (scipy does that), but I have no idea how pip decides for one or the other. Whenever I install a venv, I start with python -m pip install -U pip wheel setuptools to avoid further errors. a python.org download, or one that comes with your OS), then on Windows, MacOS/OSX, and Linux on Intel computers, pre-built h5py wheels can be installed via pip from PyPI: One is that setup.py only adds -fPIC when building wheel (that's what the workaround is for), the other one is that it only adds -fPIC on Linux. It completely removes the boost.python dependency, making it significantly easier to install across the board on macOS, Ubuntu, and Raspbian.. What we want to change is that installing those packages will work by building a wheel using compilers etc. By clicking “Sign up for GitHub”, you agree to our terms of service and Windows (amd64 and x86) OSX (10.6+) Linux (x86_64 and i686) The wheels can be installed with the python-Levenshtein-wheels package on PyPI.. I think it’s be important to make the message clear: pip will still be able to install from sdists, but it will do so by building a wheel locally and installing that. That’s a deliberate design decision. Hashes for reportlab-3.5.63-cp36-cp36m-macosx_10_10_x86_64.whl; Algorithm Hash digest; SHA256: cc274871bc5342449ff8e1e9b06437d7b18f2c6ad8c236e8cea594eada1f98ac This is a fork of python-Levenshtein which also distributes binary wheels for a lot of operating systems and architectures:. The plan is absolutely not to complain about packages that don’t have public wheels on PyPI. If there are some that still can’t build a wheel, pip might need some kind of legacy install mode to handle them. Python Wheels What are wheels? Absolutely. Are you able to build it from a source clone at least? 8 comments Labels. I'm avoiding Conda because I need to deploy to virtualenv (many of them per machine), and I'm not familiar enough with Conda to figure out how to make them play together (assuming it's possible); the Conda docs seem to suggest that attempting this is brittle. If executing pip with sudo, you may want sudo's -H flag. I don’t know if such “known bad” packages still exist, and I’m pretty sure that in fact the majority of current use of --no-binary is focused on the “I don’t want to download prebuilt binaries, I want to install everything from source” use case. Is it not the case that when you do pip install on an sdist, the wheel is built in the environment you’re about to install it in? @esc hey, long time no see :) Why should this be a warning? Not having a wheel should never be flagged as a bad thing for a package. I think the future is that we always install via wheel, but --no-binary controls whether or not we will download an existing wheel or not. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. As far as how do we get rid of it, I think the same way we get rid of anything. Once we have better control over variant builds, we’ll be able to do this at PyPI import time and thus have a single cache supporting all machines. Pastebin.com is the number one paste tool since 2002. llvmlite won't build, not even when I run it with CXXFLAGS=-fPIC python -m pip install -U llvmlite. Corporate hat on here. to your account. sudo apt-get install libpq-dev no wheel available for the relevant environment, etc), but what kinds of projects can be installed from an sdist but not build into a wheel? Successfully merging a pull request may close this issue. In principle it's possible to install llvmlite using pip following these instructions.However, I can't support you when installing it, you'd better ask in the numba-users mailing list.. Is this something that should be patched or added to the docs, or am I bungling something? The question isn’t about producing shared wheels, but projects that cannot ever pass through a “built as a wheel” phase, even if that wheel is 100% ephemeral and lives only for the lifetime of the pip process. But we need to consider what we do in a post-PEP 517 world. conda install--channel numba llvmlite Binary wheels are also available for installation fromPyPI: pip install llvmlite 7. llvmlite Documentation, Release 0.36.0dev0-74-gb8faaac-dirty 3.1.2Building manually Building llvmlite requires first building LLVM. We would still not use a binary wheel from PyPI, we’d just shuffle it through a wheel as part of the install process. (Even better, if >=30.0 is expected to be available PyPI shortly, that would probably moot my problem). I took a quick look at those issues but I don’t see an explanation of where there are packages that cannot be installed via wheel. Yea there’s just a bit of confusion. Sign in Build instructions and wheels for manylinux and macOS courtesy of Grzegorz Bokota. Have a question about this project? (ie: no package shaming). sorry got the issues mixed up. With setup.py packaging, that means running setup.py bdist_wheel in the install process. ERROR: Failed building wheel for ... On Mac OS, install MPICH as a message passing interface and then proceed as above, using either pip or the installation instructions given on the PETSc and SLEPc websites. Failed building wheel for llvmlite，Failed building wheel for opencv-python错误解决 2134; 操作系统课程设计总结 1807; 机器学习笔记整理（三）——基于最小二乘法的分类 664 This would trigger pip to always fall back to the setup.py install case. We see this problem with numpy and friends. More generally, should we have a “packaging standards scope” document that clearly states assumptions like this over how we expect supported projects to work? They can probably achieve their aims easier by adding a gui_scripts entry point and allowing regular installation, so hopefully this case shouldn’t concern us. That’s a deliberate design decision. Currently the pip workflow for installing an sdist goes (roughly) like this: download sdist, prepare build environment, create a wheel (python setup.py bdist_wheel or via the build_wheel hook), install the wheel. On Linux I use gcc as the compiler, on Windows I use MinGW and on macOS I use XCode. privacy statement. Early on when pip started producing wheels by default and installing them instead of directly invoking setup.py install, some projects either ran into issues and subsequently blocked the bdist_wheel command or simply never supported it. I think the future is that we always install via wheel, Agreed, but we have to publicise that better, as it’s a backward incompatible change and I’m getting tired of dealing with (legitimate) complaints that we broke people’s packages without warning. Some packages have environmental factors that are not captured in the build artifacts, so they are not possible to build centrally. My suggestion would be to obtain a clone and look at how setup.py bootstraps ffi/build.py which in turn shells out to make to figure out where your CXXFLAGS is being swallowed. Building LLVM for llvmlite is challenging, ... Binary wheels are also available for installation from PyPI: ... For Linux/macOS: export PREFIX=desired_install_location CPU_COUNT=N ( N is number of parallel compile tasks) Run the build.sh script in the llvmdev conda recipe from the LLVM source directory. Pastebin is a website where you can store text online for a set period of time. If there are legitimate cases where something about the wheel format doesn’t capture someone’s use cases, that’s a harder problem. If there are some that still can’t build a wheel, pip might need some kind of legacy install mode to handle them. Some packages have environmental factors that are not captured in the build artifacts, so they are not possible to build centrally. We have that legacy mode at the moment - setup.py installs are (at least in my mind ) legacy since PEP 517 support was released. This means that you have about three months left to update your macOS application. (or, simply, the official llvmlite package provided in the Anaconda distribution) Other build methods If you don’t want to use our pre-built packages, you can compile and install llvmlite yourself. This mitigates the need for a LLVM based binary wheel. Deprecate it, raise a warning for a period of time, and then kill it. can we pick up some speed on this, please? Already on GitHub? PEP 517 has no support for direct installs from source, with everything being built as a wheel and installed from that. The Levenshtein Python C extension module contains functions for fast computation of Wheels are the new standard of Python distribution and are intended to replace eggs. Not sure I understand this: numpy and friends do build and ship wheels. Comments. Here are the steps I needed to go through for Mojave: First xcode-select --reset.. Next I needed to upgrade xcode tools to the latest version: sudo softwareupdate -ia --verbose (NB: this runs all available updates from the app store, there is a way to specify that you only want to update one app/program, but I don't know it off the top of my head). If so, all the logic can be configured correctly at build time and the correct wheel will be produced. I've attempted to build the llvmlite from source on an Ubuntu 18.04 instance. Thanks to the work of Davis King (the creator and maintainer of the dlib library) and Mischan Toos-Haus (who is responsible for removing the boost.python dependency), we can now: The question is whether there’s some deficiency in the wheel format that would prevent creating a build artifact given that you know exactly what environment you are targeting. We could then warn anytime we had to do the setup.py install fallback. Hence me posting in here. I maintain a package that intentionally does not have a wheel because any version of manylinux is so ancient that it would would defeat the purpose of the package and deliver a poor user experience. Also, wheels are up for 0.30.0. Pastebin is a website where you can store text online for a set period of time. Build error (symbol relocation) when installing from source. WARNING: The directory '/home/usr/.cache/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. Extra arguments to be supplied to ‘setup.py bdist_wheel’.--no-build-isolation¶ Disable isolation when building a modern source distribution. Other projects are actually using setup.py to implement post-install hooks, and those can just flatout break (because the hooks either don’t run at all, or they run in the wrong environment). Because we don’t know things like, what environment variables or compiler options were used, binary built wheels aren’t useful to us. What we really want is “never download a wheel” which doesn’t sound like it aligns with --no-binary :all:. If your package is a counterexample (setup.py install works but setup.py bdist_wheel doesn’t), please share details! I did all the steps mentioned, up to the openssl-mac folder. If it’s just a matter of some projects having designed their installation workflow in such a way that it breaks if you install via wheel, then I think saying, “Everything must be wheel compatible after a certain date” is fair. API stability. I just don’t know how we’d necessarily spot the cases which would fail after the removal, so that we can issue the warning (just warning on every use of --no-binary is too broad). Certainly we should probably wait a few releases of PEP 517 capable pip to make sure that the issues and shortcomings of that get solved first. Wheels¶ If you have an existing Python installation (e.g. However, pip introduced the --no-binary option specifically to allow for packages that cannot be installed via wheel (see this comment and this issue). Introduction. pip will automatically build local wheels and use them to install sdist packages. It would be informative to check if those problems have since been fixed (either in the affected packages, or in packaging machinery). The original implementation of --no-binary was long enough ago that I suspect that most projects have fixed the motivating issues. ... ERROR: Failed building wheel for cryptography ERROR: Could not build wheels for cryptography which use PEP 517 and cannot be installed directly. IIUI they’ve long since worked around that, but that sort of thing is something that just isn’t possible to deal with in the current setup. Collecting llvmlite Using cached llvmlite-0.34.0.tar.gz (107 kB) Building wheels for collected packages: llvmlite Building wheel for llvmlite (setup.py): started Building wheel for llvmlite (setup.py): finished with status 'error' Running setup.py clean for llvmlite Failed to build llvmlite Best, Marc In the last step “pip install dlib”, it is stuck there (It was also happened with the three packages installation commands) like: $ pip install dlib Collecting dlib Using cached dlib-19.4.0.tar.gz Building wheels for collected packages: dlib This is the kind of thing I meant by ‘to work around odd packaging bugs’, although this one is more exploiting differences in packaging implementation - the new behaviour is not a bug. Suspect this is related to #502 and #518. That said, this is not a question of projects that can’t ship wheels - it’s definitely true that those will exist even if only for weird platforms. The SLEPc homepage even offers a video tutorial explaining the installation. Support is offered in pip >= 1.4 and setuptools >= 0.8.. We have many internal “variants”, i.e. We cannot consume PyPI wheels for legal reasons (but that’s boring and not technical), but we also can’t trust non-pure Python wheels built externally because there are environmental leakages that aren’t captured in the wheel tags and which do not align with our internal infrastructure. Not just install phase. While I can’t find a clear reference for it, one of the other cases I recall coming up is projects that were registering Windows COM objects in a post-install step, and various other venv-unfriendly things. ah, yeah, a local setup.py bdist_wheel should be fine. Wheels for Linux and macOS: are available for Python 2.7, 3.5, 3.6, 3.7, 3.8, and 3.9 (32 and 64 bit) are linked against OpenBLAS. So it may be that our answer to those kinds of things is to suggest that folks look at the briefcase project (which creates native installers from setuptools based projects), since package level installation formats do support post-install hooks (at the expense of not typically supporting parallel installation of multiple versions of the same package). For more information, see the Wheel docs, PEP 427, and PEP 425. pip prefers Wheels where they are available. Faster installation for pure Python and native C extension packages. On developer machines, we do plan on building the wheels locally, which we know must match. Since we import our packages from PyPI to an internal mirror, it would be conceivable to build the wheels internally at the time we import them, but that’s problematic because of the above variant environmental factors. We could then warn anytime we had to do the setup.py install fallback. You signed in with another tab or window. I second this issue. bug. Just found #502 and am currently working around with CXXFLAGS. Thanks @gpshead for proving my point about clear messaging. To disable this, use the - … The latest release of dlib is special. With export LLVM_CONFIG=/path/to/my/patched/llvm8/bin/llvm-config running either python3 setup.py build or pip3 install /path/to/local/llvmlite (the latter being the deploy path for virtualenv) will fail with: If I follow the error and add -fPIC to the LDFLAGS of llvmlite/ffi/Makefile.linux, the build succeeds and passes tests. So I don’t think it is a huge deal if we look towards only going via wheels. Pastebin.com is the number one paste tool since 2002. Do not use prebuilt LLVM binaries ... 4.For Linux/macOS: 8 Chapter 3. Does anyone recall any specific packages that had problems with building wheels when they were first introduced? The only difference I can think of is that I did not use the command. I was conflating that with install. Not just install phase. We’ll occasionally send you account related emails. Corporate hat on here. PEP 517 has no support for direct installs from source, with everything being built as a wheel and installed from that. The commands in step 3 to install three packages were failed; installed them using sudo apt-get command. EDIT: nvm, pip does that automatically if wheel is installed. error: command 'C:\\Users\\Hagai\\Anaconda3\\envs\\py36\\python.exe' failed with exit status 1 Failed building wheel for llvmlite Running setup.py clean for llvmlite The projects that don’t currently work right when installed via wheel file are the ones that have target-environment-dependent logic in their install phase. If so, all the logic can be configured correctly at build time and the correct wheel will be produced. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. The problem is that we can’t support that (or any other) legacy mode indefinitely, so the question is when (and how) we remove it. I've attempted to build the llvmlite from source on an Ubuntu 18.04 instance. can we pick up some speed on this, please? That is already done from the get-go. @jonsnowseven thanks for following up. Have a question about this project? nvm: the workaround only works for Linux sdist packages.
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