setup.py

问题 I have a Cython project containing several .pyx files. To distribute my project I would like to provide my generated .c files as recommended in the Cython documentation, to minimize problems with different Cython versions. My current work flow is to build the project using: me@machine$ python setup.py build_ext --inplace This cythonizes (i.e. translate .pyx files to .c / .cpp files using Cython) all .pyx files and then compiles them. For a release I do not need the compiled ( .so ) files, so

问题 I have a Cython project containing several .pyx files. To distribute my project I would like to provide my generated .c files as recommended in the Cython documentation, to minimize problems with different Cython versions. My current work flow is to build the project using: me@machine$ python setup.py build_ext --inplace This cythonizes (i.e. translate .pyx files to .c / .cpp files using Cython) all .pyx files and then compiles them. For a release I do not need the compiled ( .so ) files, so

问题 This question already has answers here : Install PyQt5 5.14.1 on Linux (2 answers) Closed 18 days ago . Whenever I try to install a package, for example pip3 install PyQt5 the command fails with a message about a missing directory in the /tmp directory pip3 install PyQt5 Collecting PyQt5 Downloading https://files.pythonhosted.org/packages/3a/fb/eb51731f2dc7c22d8e1a63ba88fb702727b324c6352183a32f27f73b8116/PyQt5-5.14.1.tar.gz (3.2MB) 100% |████████████████████████████████| 3.2MB 19.3MB/s

问题 I'd want to install python modules as non-root user like this $ pip install -I --install-option="--prefix=~/usr" scipy Unfortunately this usually does not work unless you specify --user . But --user can't be used together with --prefix . Using --user only (without --prefix ) installs to ~/.local which I find ugly because I have a well maintained ~/usr and don't want to add even more stuff to my env to make ~/.local usable too. So my questions: How can I let --prefix and --user work together

问题 I am new to setuptools on python. I added a package 'numpy' and 'tensorflow' to install_requires list and running python setup.py install. It does not install due to SSL issue. We use self signed SSL for https based urls. In case of pip for individual packages I can use --cert option. As I know setuptools use pip indirectly. If so, is there anyway to force it to use --cert option when setup.py is ran? 回答1: It turns out that we have actually two problems here. The problem about tensorflow is

问题 I am new to setuptools on python. I added a package 'numpy' and 'tensorflow' to install_requires list and running python setup.py install. It does not install due to SSL issue. We use self signed SSL for https based urls. In case of pip for individual packages I can use --cert option. As I know setuptools use pip indirectly. If so, is there anyway to force it to use --cert option when setup.py is ran? 回答1: It turns out that we have actually two problems here. The problem about tensorflow is

问题 I am trying to install face_recognition on Ubuntu. I keep running into this loop, which goes on forever. Please help. pip install face_recognition Collecting face_recognition Using cached https://files.pythonhosted.org/packages/3f/ed/ad9a28042f373d4633fc8b49109b623597d6f193d3bbbef7780a5ee8eef2/face_recognition-1.2.3-py2.py3-none-any.whl Collecting Pillow (from face_recognition) Using cached https://files.pythonhosted.org/packages/c1/e6

问题 I'd like to install dependencies from my private PyPI by specifying them within a setup.py . I've already tried to specify where to find dependencies within the dependency_links this way: setup( ... install_requires=["foo==1.0"], dependency_links=["https://my.private.pypi/"], ... ) I've also tried to define the entire URL within the dependency_links : setup( ... install_requires=[], dependency_links=["https://my.private.pypi/foo/foo-1.0.tar.gz"], ... ) but when I try to install with python

问题 I have a python package which depends on pytorch and which I’d like windows users to be able to install via pip (the specific package is: https://github.com/mindsdb/lightwood, but I don’t think this is very relevant to my question). What are the best practices for going about this ? Are there some project I could use as examples ? It seems like the pypi hosted version of torch & torchvision aren’t windows compatible and the “getting started” section suggests installing from the custom pytorch

问题 The python doc for "Writing the Setupscript (http://docs.python.org/2/distutils/setupscript.html) mentions that dependencies can be specified under section > 2.4. Relationships between Distributions and Packages [...] These relationships can be specified using keyword arguments to the distutils.core.setup() function. Dependencies on other Python modules and packages can be specified by supplying the requires keyword argument to setup(). The value must be a list of strings. Each string