Don't pass complex expressions but regular variables to Python
macros.
* _datetimemodule.c: split single large "if" into two "if"
in date_new(), time_new() and datetime_new().
* _pickle.c, load_extension(): flatten complex "if" expression into
more regular C code.
* _ssl.c: addbool() now uses a temporary bool_obj to only evaluate
the value once.
* weakrefobject.c: replace "Py_INCREF(result = proxy);"
with "result = proxy; Py_INCREF(result);"
Two kind of mistakes:
1. Missed space. After concatenating there is no space between words.
2. Missed comma. Causes unintentional concatenating in a list of strings.
This makes performance better and produces shorter pickles. This change is backwards compatible up to the oldest currently supported version of Python (3.4).
PyMemoryView_FromMemory() created a memoryview referring to
the internal data of the string. When the string is destroyed
the memoryview become referring to a freed memory.
when serialize into memory buffer with C pickle implementations.
This optimization already is performed when serialize into memory
with Python pickle implementations or into a file with both
implementations.
The picklers do no longer allocate temporary memory when dumping large
bytes and str objects into a file object. Instead the data is
directly streamed into the underlying file object.
Previously the C implementation would buffer all content and issue a
single call to file.write() at the end of the dump. With protocol 4
this behavior has changed to issue one call to file.write() per frame.
The Python pickler with protocol 4 now dumps each frame content as a
memoryview to an IOBytes instance that is never reused and the
memoryview is no longer released after the call to write. This makes it
possible for the file object to delay access to the memoryview of
previous frames without forcing any additional memory copy as was
already possible with the C pickler.
The concrete PyDict_* API is used to interact with PyInterpreterState.modules in a number of places. This isn't compatible with all dict subclasses, nor with other Mapping implementations. This patch switches the concrete API usage to the corresponding abstract API calls.
We also add a PyImport_GetModule() function (and some other helpers) to reduce a bunch of code duplication.
* Add Py_UNREACHABLE() as an alias to abort().
* Use Py_UNREACHABLE() instead of assert(0)
* Convert more unreachable code to use Py_UNREACHABLE()
* Document Py_UNREACHABLE() and a few other macros.
PR #1638, for bpo-28411, causes problems in some (very) edge cases. Until that gets sorted out, we're reverting the merge. PR #3506, a fix on top of #1638, is also getting reverted.
* group the (stateful) runtime globals into various topical structs
* consolidate the topical structs under a single top-level _PyRuntimeState struct
* add a check-c-globals.py script that helps identify runtime globals
Other globals are excluded (see globals.txt and check-c-globals.py).
Issue #28915: Replace _PyObject_CallMethodId() with
_PyObject_CallMethodIdObjArgs() in various modules when the format string was
only made of "O" formats, PyObject* arguments.
_PyObject_CallMethodIdObjArgs() avoids the creation of a temporary tuple and
doesn't have to parse a format string.
Replace
_PyObject_CallArg1(func, arg)
with
PyObject_CallFunctionObjArgs(func, arg, NULL)
Using the _PyObject_CallArg1() macro increases the usage of the C stack, which
was unexpected and unwanted. PyObject_CallFunctionObjArgs() doesn't have this
issue.
Don't pass "()" format to PyObject_CallXXX() to call a function without
argument: pass NULL as the format string instead. It avoids to have to parse a
string to produce 0 argument.
_Pickle_FastCall() is now fast again!
The optimization was introduced in Python 3.2, removed in Python 3.4 and
reintroduced in Python 3.6 (thanks to the new generic fastcall functions).
Serhiy Storchaka
Zackery Spytz
Victor Stinner
Benjamin Peterson
Sergey Fedoseev
Alexey Izbyshev
Łukasz Langa
Leo Arias
Olivier Grisel
Mat M
Eric Snow
Barry Warsaw
Victor Stinner
Raymond Hettinger