@@ -1222,15 +1222,31 @@ function. You can create and destroy them using the following functions:
12221222 single: Py_FinalizeEx()
12231223 single: Py_Initialize()
12241224
1225- Extension modules are shared between (sub-)interpreters as follows: the first
1226- time a particular extension is imported, it is initialized normally, and a
1227- (shallow) copy of its module's dictionary is squirreled away. When the same
1228- extension is imported by another (sub-)interpreter, a new module is initialized
1229- and filled with the contents of this copy; the extension' s ``init`` function is
1230- not called. Note that this is different from what happens when an extension is
1231- imported after the interpreter has been completely re-initialized by calling
1232- :c:func:`Py_FinalizeEx` and :c:func:`Py_Initialize`; in that case, the extension' s
1233- ``initmodule `` function *is * called again.
1225+ Extension modules are shared between (sub-)interpreters as follows:
1226+
1227+ * For modules using multi-phase initialization,
1228+ e.g. :c:func:`PyModule_FromDefAndSpec`, a separate module object is
1229+ created and initialized for each interpreter.
1230+ Only C-level static and global variables are shared between these
1231+ module objects.
1232+
1233+ * For modules using single-phase initialization,
1234+ e.g. :c:func:`PyModule_Create`, the first time a particular extension
1235+ is imported, it is initialized normally, and a (shallow) copy of its
1236+ module's dictionary is squirreled away.
1237+ When the same extension is imported by another (sub-)interpreter, a new
1238+ module is initialized and filled with the contents of this copy; the
1239+ extension' s ``init`` function is not called.
1240+ Objects in the module' s dictionary thus end up shared across
1241+ (sub-)interpreters, which might cause unwanted behavior (see
1242+ `Bugs and caveats `_ below).
1243+
1244+ Note that this is different from what happens when an extension is
1245+ imported after the interpreter has been completely re-initialized by
1246+ calling :c:func:`Py_FinalizeEx` and :c:func:`Py_Initialize`; in that
1247+ case , the extension' s ``initmodule`` function *is* called again.
1248+ As with multi-phase initialization, this means that only C-level static
1249+ and global variables are shared between these modules.
12341250
12351251 .. index:: single: close() (in module os)
12361252
@@ -1256,14 +1272,16 @@ process, the insulation between them isn't perfect --- for example, using
12561272low-level file operations like :func:`os.close` they can
12571273(accidentally or maliciously) affect each other's open files. Because of the
12581274way extensions are shared between (sub-)interpreters, some extensions may not
1259- work properly; this is especially likely when the extension makes use of
1260- (static) global variables, or when the extension manipulates its module's
1261- dictionary after its initialization. It is possible to insert objects created
1262- in one sub-interpreter into a namespace of another sub-interpreter; this should
1263- be done with great care to avoid sharing user-defined functions, methods,
1264- instances or classes between sub-interpreters, since import operations executed
1265- by such objects may affect the wrong (sub-)interpreter's dictionary of loaded
1266- modules.
1275+ work properly; this is especially likely when using single-phase initialization
1276+ or (static) global variables.
1277+ It is possible to insert objects created in one sub-interpreter into
1278+ a namespace of another (sub-)interpreter; this should be avoided if possible.
1279+
1280+ Special care should be taken to avoid sharing user-defined functions,
1281+ methods, instances or classes between sub-interpreters, since import
1282+ operations executed by such objects may affect the wrong (sub-)interpreter's
1283+ dictionary of loaded modules. It is equally important to avoid sharing
1284+ objects from which the above are reachable.
12671285
12681286Also note that combining this functionality with :c:func:`PyGILState_\*` APIs
12691287is delicate, because these APIs assume a bijection between Python thread states
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