Newly supported interpreter definition syntax:
- `op(NAME, (input_stack_effects -- output_stack_effects)) { ... }`
- `macro(NAME) = OP1 + OP2;`
Also some other random improvements:
- Convert `WITH_EXCEPT_START` to use stack effects
- Fix lexer to balk at unrecognized characters, e.g. `@`
- Fix moved output names; support object pointers in cache
- Introduce `error()` method to print errors
- Introduce read_uint16(p) as equivalent to `*p`
Co-authored-by: Brandt Bucher <brandtbucher@gmail.com>
This is part of the effort to consolidate global variables, to make them easier to manage (and make it easier to later move some of them to PyInterpreterState).
https://github.com/python/cpython/issues/81057
We actually don't move PyImport_Inittab. Instead, we make a copy that we keep on _PyRuntimeState and use only that after Py_Initialize(). We also prevent folks from modifying PyImport_Inittab (the best we can) after that point.
https://github.com/python/cpython/issues/81057
The global allocators were stored in 3 static global variables: _PyMem_Raw, _PyMem, and _PyObject. State for the "small block" allocator was stored in another 13. That makes a total of 16 global variables. We are moving all 16 to the _PyRuntimeState struct as part of the work for gh-81057. (If PEP 684 is accepted then we will follow up by moving them all to PyInterpreterState.)
https://github.com/python/cpython/issues/81057
As we consolidate global variables, we find some objects that are almost suitable to add to _PyRuntimeState.global_objects, but have some small/sneaky bit of per-interpreter state (e.g. a weakref list). We're adding PyInterpreterState.static_objects so we can move such objects there. (We'll removed the _not_used field once we've added others.)
https://github.com/python/cpython/issues/81057
Up until now we had a single generated initializer macro for all the statically declared global objects in _PyRuntimeState, including several one-offs (e.g. the empty tuple). The one-offs don't need to be generated, but were because we had one big initializer. Having separate initializers for set of generated global objects allows us to generate only the ones we need to. This allows us to add initializers for one-off global objects without having to generate them.
https://github.com/python/cpython/issues/81057
* Adds EXIT_INTERPRETER instruction to exit PyEval_EvalDefault()
* Simplifies RETURN_VALUE, YIELD_VALUE and RETURN_GENERATOR instructions as they no longer need to check for entry frames.
Add _PyStaticObject_CheckRefcnt() function to make
_PyStaticObjects_CheckRefcnt() shorter. Use
_PyObject_ASSERT_FAILED_MSG() to log the object causing the fatal
error.
We do the following:
* move the generated _PyUnicode_InitStaticStrings() to its own file
* move the generated _PyStaticObjects_CheckRefcnt() to its own file
* include pycore_global_objects.h in extension modules instead of pycore_runtime_init.h
These changes help us avoid including things that aren't needed.
https://github.com/python/cpython/issues/90868
This makes it more clear that a given test is definitely testing against a single-phase init (legacy) extension module. The new module is a companion to _testmultiphase.
https://github.com/python/cpython/issues/98627
This adds support for comparing pystats collected from two different builds.
- The `--json-output` can be used to load in a set of raw stats and output a
JSON file.
- Two of these JSON files can be provided on the next run, and then comparative
results between the two are output.
Remove the distutils package. It was deprecated in Python 3.10 by PEP
632 "Deprecate distutils module". For projects still using distutils
and cannot be updated to something else, the setuptools project can
be installed: it still provides distutils.
* Remove Lib/distutils/ directory
* Remove test_distutils
* Remove references to distutils
* Skip test_check_c_globals and test_peg_generator since they use
distutils
A backslash-character pair that is not a valid escape sequence now
generates a SyntaxWarning, instead of DeprecationWarning. For
example, re.compile("\d+\.\d+") now emits a SyntaxWarning ("\d" is an
invalid escape sequence), use raw strings for regular expression:
re.compile(r"\d+\.\d+"). In a future Python version, SyntaxError will
eventually be raised, instead of SyntaxWarning.
Octal escapes with value larger than 0o377 (ex: "\477"), deprecated
in Python 3.11, now produce a SyntaxWarning, instead of
DeprecationWarning. In a future Python version they will be
eventually a SyntaxError.
codecs.escape_decode() and codecs.unicode_escape_decode() are left
unchanged: they still emit DeprecationWarning.
* The parser only emits SyntaxWarning for Python 3.12 (feature
version), and still emits DeprecationWarning on older Python
versions.
* Fix SyntaxWarning by using raw strings in Tools/c-analyzer/ and
wasm_build.py.
This got introduced in commit 5884449539
to determine if readline is already linked against curses or tinfo in
the setup.py, which is no longer present.
The switch cases (really TARGET(opcode) macros) have been moved from ceval.c to generated_cases.c.h. That file is generated from instruction definitions in bytecodes.c (which impersonates a C file so the C code it contains can be edited without custom support in e.g. VS Code).
The code generator lives in Tools/cases_generator (it has a README.md explaining how it works). The DSL used to describe the instructions is a work in progress, described in https://github.com/faster-cpython/ideas/blob/main/3.12/interpreter_definition.md.
This is surely a work-in-progress. An easy next step could be auto-generating super-instructions.
**IMPORTANT: Merge Conflicts**
If you get a merge conflict for instruction implementations in ceval.c, your best bet is to port your changes to bytecodes.c. That file looks almost the same as the original cases, except instead of `TARGET(NAME)` it uses `inst(NAME)`, and the trailing `DISPATCH()` call is omitted (the code generator adds it automatically).
Add Python implementations of certain longobject.c functions. These use
asymptotically faster algorithms that can be used for operations on
integers with many digits. In those cases, the performance overhead of
the Python implementation is not significant since the asymptotic
behavior is what dominates runtime. Functions provided by this module
should be considered private and not part of any public API.
Co-author: Tim Peters <tim.peters@gmail.com>
Co-author: Mark Dickinson <dickinsm@gmail.com>
Co-author: Bjorn Martinsson
The "pyperf command" tool be used instead. Example:
$ python3 -m pyperf command -- python3 -c pass
.....................
command: Mean +- std dev: 17.8 ms +- 0.4 ms
pyperf also computes the standard deviation which gives an idea of
the benchmark looks reliable or not.
Remove outdated example scripts of the Tools/scripts/ directory:
* gprof2html.py
* md5sum.py
* nm2def.py
* pathfix.py
* win_add2path.py
Remove test_gprof2html, test_md5sum and test_pathfix of test_tools.
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