PEP 687 – Isolating modules in the standard library
- Erlend Egeberg Aasland <erlend.aasland at protonmail.com>, Petr Viktorin <encukou at gmail.com>
- Discourse thread
- Standards Track
- 489, 573, 630
- 04-Apr-2022, 11-Apr-2022
Extensions in the standard library will be converted to multi-phase initialization (PEP 489) and where possible, all state will be stored on module objects rather than in process-global variables.
Note on Backdating
Much of this proposal has already been implemented. We submit this PEP to explain the changes, seek consensus on whether they are good, propose the remaining changes, and set best practices for new modules.
Motivation & Rationale
The informational PEP 630 describes the background, motivation, rationale, implications and implementation notes of the proposed changes as they apply generally to any extension module (not just the standard library).
It is an integral part of this proposal. Read it first.
This PEP discusses specifics of the standard library.
The body of PEP 630 will be converted to a HOWTO in the Python documentation, and that PEP will be retired (marked Final).
All extension modules in the standard library will be converted to multi-phase initialization introduced in PEP 489.
All stdlib extension modules will be isolated. That is:
- Types, functions and other objects defined by the module will either be immutable, or not shared with other module instances.
- State specific to the module will not be shared with other module instances,
unless it represents global state.
_csv.field_size_limitwill get/set a module-specific number. On the other hand, functions like
os.getpidwill continue to work with state that is process-global (external to the module, and possibly shared across other libraries, including non-Python ones).
Conversion to heap types
Static types that do not need module state access, and have no other reason to be converted, should stay static.
Types whose methods need access to their module instance will be converted to heap types following PEP 630, with the following considerations:
- All standard library types that used to be static types should remain
immutable. Heap types must be defined with the
Py_TPFLAGS_IMMUTABLE_TYPEflag to retain immutability. See bpo-43908.
Tests should ensure
TypeErroris raised when trying to create a new attribute of an immutable type.
- A static type with
tp_new = NULLdoes not have a public constructor, but heap types inherit the constructor from the base class. Make sure types that previously were impossible to instantiate retain that feature; use
Py_TPFLAGS_DISALLOW_INSTANTIATION. Add tests using
test.support.check_disallow_instantiation(). See bpo-43916.
- Converted heap types may unintentionally become serializable
pickle-able). Test that calling
pickle.dumpshas the same result before and after conversion, and if the test fails, add a
__reduce__method that raises
TypeError. See PR-21002 for an example.
These issues will be added to the Devguide to help any future conversions.
If another kind of issue is found, the module in question should be unchanged until a solution is found and added to the Devguide, and already converted modules are checked and fixed.
The following process should be added to the Devguide, and remain until all modules are converted. Any new findings should be documented there or in the general HOWTO.
Part 1: Preparation
- Open a discussion, either on the bug tracker or on Discourse. Involve the module maintainer and/or code owner. Explain the reason and rationale for the changes.
- Identify global state performance bottlenecks.
Create a proof-of-concept implementation, and measure the performance impact.
pyperfis a good tool for benchmarking.
- Create an implementation plan. For small modules with few types, a single PR may do the job. For larger modules with lots of types, and possibly also external library callbacks, multiple PR’s will be needed.
Part 2: Implementation
Note: this is a suggested implementation plan for a complex module, based on lessons learned with other modules. Feel free to simplify it for smaller modules.
- Add Argument Clinic where possible; it enables you to easily use the defining class to fetch module state from type methods.
- Prepare for module state; establish a module state
struct, add an instance as a static global variable, and create helper stubs for fetching the module state.
- Add relevant global variables to the module state
struct, and modify code that accesses the global state to use the module state helpers instead. This step may be broken into several PR’s.
- Where necessary, convert static types to heap types.
- Convert the global module state struct to true module state.
- Implement multi-phase initialisation.
Steps 4 through 6 should preferably land in a single alpha development phase.
Extension modules in the standard library will now be loadable more than once.
For example, deleting such a module from
sys.modules and re-importing it
will result in a fresh module instance, isolated from any previously loaded
This may affect code that expected the previous behavior: globals of extension modules were shallowly copied from the first loaded module.
How to Teach This
A large part of this proposal is a HOWTO aimed at experienced users, which will be moved to the documentation.
Beginners should not be affected.
Most of the changes are now in the main branch, as commits for these issues:
- bpo-40077, Convert static types to heap types: use PyType_FromSpec()
- bpo-46417, Clear static types in Py_Finalize() for embedded Python
- bpo-1635741, Py_Finalize() doesn’t clear all Python objects at exit
As an example, changes and fix-ups done in the
_csv module are:
This document is placed in the public domain or under the CC0-1.0-Universal license, whichever is more permissive.
Last modified: 2022-05-09 17:34:04 GMT