Hi all, As part of the multi-core work I'm proposing the addition of the "interpreters" module to the stdlib. This will expose the existing subinterpreters C-API to Python code. I've purposefully kept the API simple. Please let me know what you think.
-eric https://www.python.org/dev/peps/pep-0554/ https://github.com/python/peps/blob/master/pep-0554.rst https://github.com/python/cpython/pull/1748 https://github.com/python/cpython/pull/1802 https://github.com/ericsnowcurrently/cpython/tree/high-level-interpreters-module ********************************************** PEP: 554 Title: Multiple Interpreters in the Stdlib Author: Eric Snow <ericsnowcurren...@gmail.com> Status: Draft Type: Standards Track Content-Type: text/x-rst Created: 2017-09-05 Python-Version: 3.7 Post-History: Abstract ======== This proposal introduces the stdlib "interpreters" module. It exposes the basic functionality of subinterpreters that exists in the C-API. Rationale ========= Running code in multiple interpreters provides a useful level of isolation within the same process. This can be leveraged in number of ways. Furthermore, subinterpreters provide a well-defined framework in which such isolation may extended. CPython has supported subinterpreters, with increasing levels of support, since version 1.5. While the feature has the potential to be a powerful tool, subinterpreters have suffered from neglect because they are not available directly from Python. Exposing the existing functionality in the stdlib will help reverse the situation. Proposal ======== The "interpreters" module will be added to the stdlib. It will provide a high-level interface to subinterpreters and wrap the low-level "_interpreters" module. The proposed API is inspired by the threading module. The module provides the following functions: enumerate(): Return a list of all existing interpreters. get_current(): Return the currently running interpreter. get_main(): Return the main interpreter. create(): Initialize a new Python interpreter and return it. The interpreter will be created in the current thread and will remain idle until something is run in it. The module also provides the following class: Interpreter(id): id: The interpreter's ID (read-only). is_running(): Return whether or not the interpreter is currently running. destroy(): Finalize and destroy the interpreter. run(code): Run the provided Python code in the interpreter, in the current OS thread. Supported code: source text. Copyright ========= This document has been placed in the public domain. _______________________________________________ Python-ideas mailing list Python-ideas@python.org https://mail.python.org/mailman/listinfo/python-ideas Code of Conduct: http://python.org/psf/codeofconduct/
