How to modularize for fun and profit, III: Dependencies, in 4 special flavors

26 views
Skip to first unread message

Matthias Koeppe

unread,
Oct 11, 2021, 2:48:15 AMOct 11
to sage-devel
When preparing a portion of the Sage library as a distribution package, dependencies matter.

Build-time dependencies: If the portion of the library contains any Cython modules, these modules are compiled during the wheel-building phase of the distribution package. If the Cython module uses "cimport" to pull in anything from .pxd files, these files must be either part of the portion shipped as the distribution being built, or the distribution that provides these files must be installed in the build environment. Also, any C/C++ libraries that the Cython module uses must be accessible from the build environment.

Declaring build-time dependencies: Modern Python packaging provides a mechanism to declare build-time dependencies on other distribution packages via the file pyproject.toml ("build-system requires"); this has superseded the older "setup_requires" declaration. (There is no mechanism to declare anything regarding the C/C++ libraries.)

Module-level runtime dependencies: Any "import" statements at the top level of a Python or Cython module are executed when the module is imported. Hence, the imported modules must be part of the distribution, or provided by another distribution -- which then must be declared as a run-time dependency.

Declaring run-time dependencies: These dependencies are declared in setup.py (or setup.cfg) as "install_requires".

Other runtime dependencies: If "import" statements are used within a method, the imported module is loaded the first time that the method is called. Hence the module defining the method can still be imported even if the module needed by the method is not present. 

It is then a question whether a run-time dependency should be declared. If the method needing that import provides core functionality, then probably yes. But if it only provides what can be considered "optional functionality", then probably not, and in this case it will be up to the user to install the distribution enabling this optional functionality.

Declaring optional run-time dependencies: It is possible to declare such optional dependencies as "extra_requires" in setup.py (or setup.cfg). This is a very limited mechanism -- in particular it does not affect the build phase of the distribution in any way. It basically only provides a way to give a nickname to a distribution that can be installed as an add-on. It allows users to write, for example, "pip install sagemath-polyhedra[normaliz]" instead of "pip install sagemath-polyhedra pynormaliz". 

Lazy module-level imports: Sage provides the lazy_import mechanism. Lazy imports can be declared at the module level, but the actual importing is only done on demand. It is a runtime error at that time if the imported module is not present. This can be convenient compared to local imports in methods when the same imports are needed in several methods.

Doctest-only dependencies: Doctests often use examples constructed using functionality provided by other portions of the Sage library. I consider this kind of integration testing as one of the strengths of Sage; but it also creates extra dependencies.
Fortunately, these dependencies are very mild, and we can deal with them using the same mechanism that we use for making doctests conditional on the presence of optional libraries: using "# optional - FEATURE" directives in the doctests. 
Adding these directives will allow developers to test the distribution separately, without requiring all of Sage to be present. This is very important. 

Declaring doctest-only dependencies: The "extra_requires" mechanism mentioned above can also be used for this.

Reply all
Reply to author
Forward
0 new messages