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+:mod:`!concurrent.interpreters` --- Multiple interpreters in the same process
+=============================================================================
+
+.. module:: concurrent.interpreters
+ :synopsis: Multiple interpreters in the same process
+
+.. moduleauthor:: Eric Snow <ericsnowcurrently@gmail.com>
+.. sectionauthor:: Eric Snow <ericsnowcurrently@gmail.com>
+
+.. versionadded:: 3.14
+
+**Source code:** :source:`Lib/concurrent/interpreters.py`
+
+--------------
+
+
+Introduction
+------------
+
+The :mod:`!concurrent.interpreters` module constructs higher-level
+interfaces on top of the lower level :mod:`!_interpreters` module.
+
+.. XXX Add references to the upcoming HOWTO docs in the seealso block.
+
+.. seealso::
+
+ :ref:`isolating-extensions-howto`
+ how to update an extension module to support multiple interpreters
+
+ :pep:`554`
+
+ :pep:`734`
+
+ :pep:`684`
+
+.. XXX Why do we disallow multiple interpreters on WASM?
+
+.. include:: ../includes/wasm-notavail.rst
+
+
+Key details
+-----------
+
+Before we dive into examples, there are a small number of details
+to keep in mind about using multiple interpreters:
+
+* isolated, by default
+* no implicit threads
+* not all PyPI packages support use in multiple interpreters yet
+
+.. XXX Are there other relevant details to list?
+
+In the context of multiple interpreters, "isolated" means that
+different interpreters do not share any state. In practice, there is some
+process-global data they all share, but that is managed by the runtime.
+
+
+Reference
+---------
+
+This module defines the following functions:
+
+.. function:: list_all()
+
+ Return a :class:`list` of :class:`Interpreter` objects,
+ one for each existing interpreter.
+
+.. function:: get_current()
+
+ Return an :class:`Interpreter` object for the currently running
+ interpreter.
+
+.. function:: get_main()
+
+ Return an :class:`Interpreter` object for the main interpreter.
+
+.. function:: create()
+
+ Initialize a new (idle) Python interpreter
+ and return a :class:`Interpreter` object for it.
+
+
+Interpreter objects
+^^^^^^^^^^^^^^^^^^^
+
+.. class:: Interpreter(id)
+
+ A single interpreter in the current process.
+
+ Generally, :class:`Interpreter` shouldn't be called directly.
+ Instead, use :func:`create` or one of the other module functions.
+
+ .. attribute:: id
+
+ (read-only)
+
+ The interpreter's ID.
+
+ .. attribute:: whence
+
+ (read-only)
+
+ A string describing where the interpreter came from.
+
+ .. method:: is_running()
+
+ Return ``True`` if the interpreter is currently executing code
+ in its :mod:`!__main__` module and ``False`` otherwise.
+
+ .. method:: close()
+
+ Finalize and destroy the interpreter.
+
+ .. method:: prepare_main(ns=None, **kwargs)
+
+ Bind "shareable" objects in the interpreter's
+ :mod:`!__main__` module.
+
+ .. method:: exec(code, /, dedent=True)
+
+ Run the given source code in the interpreter (in the current thread).
+
+ .. method:: call(callable, /, *args, **kwargs)
+
+ Return the result of calling running the given function in the
+ interpreter (in the current thread).
+
+ .. method:: call_in_thread(callable, /, *args, **kwargs)
+
+ Run the given function in the interpreter (in a new thread).
+
+Exceptions
+^^^^^^^^^^
+
+.. exception:: InterpreterError
+
+ This exception, a subclass of :exc:`Exception`, is raised when
+ an interpreter-related error happens.
+
+.. exception:: InterpreterNotFoundError
+
+ This exception, a subclass of :exc:`InterpreterError`, is raised when
+ the targeted interpreter no longer exists.
+
+.. exception:: ExecutionFailed
+
+ This exception, a subclass of :exc:`InterpreterError`, is raised when
+ the running code raised an uncaught exception.
+
+ .. attribute:: excinfo
+
+ A basic snapshot of the exception raised in the other interpreter.
+
+.. XXX Document the excinfoattrs?
+
+.. exception:: NotShareableError
+
+ This exception, a subclass of :exc:`TypeError`, is raised when
+ an object cannot be sent to another interpreter.
+
+
+.. XXX Add functions for communicating between interpreters.
+
+
+Basic usage
+-----------
+
+Creating an interpreter and running code in it::
+
+ from concurrent import interpreters
+
+ interp = interpreters.create()
+
+ # Run in the current OS thread.
+
+ interp.exec('print("spam!")')
+
+ interp.exec("""if True:
+ print('spam!')
+ """)
+
+ from textwrap import dedent
+ interp.exec(dedent("""
+ print('spam!')
+ """))
+
+ def run():
+ print('spam!')
+
+ interp.call(run)
+
+ # Run in new OS thread.
+
+ t = interp.call_in_thread(run)
+ t.join()
+
+
+.. XXX Explain about object "sharing".