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cpython/Lib/keyword.py

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bpo-40939: Generate keyword.py using the new parser (GH-20800) (cherry picked from commit 9727694f08cad4b019d2939224e3416312b1c0e1) Co-authored-by: Lysandros Nikolaou <lisandrosnik@gmail.com>
2020-06-11 10:02:37 -03:00
"""Keywords (from "Grammar/python.gram")
More trivial comment -> docstring transformations by Ka-Ping Yee, who writes: Here is batch 2, as a big collection of CVS context diffs. Along with moving comments into docstrings, i've added a couple of missing docstrings and attempted to make sure more module docstrings begin with a one-line summary. I did not add docstrings to the methods in profile.py for fear of upsetting any careful optimizations there, though i did move class documentation into class docstrings. The convention i'm using is to leave credits/version/copyright type of stuff in # comments, and move the rest of the descriptive stuff about module usage into module docstrings. Hope this is okay.
2000-02-04 11:10:34 -04:00
This file is automatically generated; please don't muck it up!
To update the symbols in this file, 'cd' to the top directory of
bpo-36143: Regenerate Lib/keyword.py from the Grammar and Tokens file using pgen (GH-12456) Now that the parser generator is written in Python (Parser/pgen) we can make use of it to regenerate the Lib/keyword file that contains the language keywords instead of parsing the autogenerated grammar files. This also allows checking in the CI that the autogenerated files are up to date.
2019-03-25 19:01:12 -03:00
the python source tree and run:
bpo-40939: Generate keyword.py using the new parser (GH-20800) (cherry picked from commit 9727694f08cad4b019d2939224e3416312b1c0e1) Co-authored-by: Lysandros Nikolaou <lisandrosnik@gmail.com>
2020-06-11 10:02:37 -03:00
PYTHONPATH=Tools/peg_generator python3 -m pegen.keywordgen \
Grammar/Grammar \
Grammar/Tokens \
Lib/keyword.py
More trivial comment -> docstring transformations by Ka-Ping Yee, who writes: Here is batch 2, as a big collection of CVS context diffs. Along with moving comments into docstrings, i've added a couple of missing docstrings and attempted to make sure more module docstrings begin with a one-line summary. I did not add docstrings to the methods in profile.py for fear of upsetting any careful optimizations there, though i did move class documentation into class docstrings. The convention i'm using is to leave credits/version/copyright type of stuff in # comments, and move the rest of the descriptive stuff about module usage into module docstrings. Hope this is okay.
2000-02-04 11:10:34 -04:00
bpo-36143: Regenerate Lib/keyword.py from the Grammar and Tokens file using pgen (GH-12456) Now that the parser generator is written in Python (Parser/pgen) we can make use of it to regenerate the Lib/keyword file that contains the language keywords instead of parsing the autogenerated grammar files. This also allows checking in the CI that the autogenerated files are up to date.
2019-03-25 19:01:12 -03:00
Alternatively, you can run 'make regen-keyword'.
More trivial comment -> docstring transformations by Ka-Ping Yee, who writes: Here is batch 2, as a big collection of CVS context diffs. Along with moving comments into docstrings, i've added a couple of missing docstrings and attempted to make sure more module docstrings begin with a one-line summary. I did not add docstrings to the methods in profile.py for fear of upsetting any careful optimizations there, though i did move class documentation into class docstrings. The convention i'm using is to leave credits/version/copyright type of stuff in # comments, and move the rest of the descriptive stuff about module usage into module docstrings. Hope this is okay.
2000-02-04 11:10:34 -04:00
"""
Ka-Ping Yee's version is better: Here's a "keyword" module which, in the spirit of "token.py", updates the list of keywords automatically from a source file (in this case, "graminit.c" seemed like a reasonable choice, easier than "Grammar/Grammar"). You get "kwlist", a sorted list of keywords; "kwdict", a dictionary mapping each keyword to 1; and "iskeyword", a function which tells you if a given string happens to be a keyword.
1997-03-20 15:45:51 -04:00
[3.9] Include soft keywords in keyword.py (GH-20877). (GH-20880) (cherry picked from commit 78319e373d57cd4da67660f888aa7092efbd6f24) Co-authored-by: Pablo Galindo <Pablogsal@gmail.com>
2020-06-15 00:31:05 -03:00
__all__ = ["iskeyword", "issoftkeyword", "kwlist", "softkwlist"]
a few more modules get __all__
2001-01-24 02:27:27 -04:00
Ka-Ping Yee's version is better: Here's a "keyword" module which, in the spirit of "token.py", updates the list of keywords automatically from a source file (in this case, "graminit.c" seemed like a reasonable choice, easier than "Grammar/Grammar"). You get "kwlist", a sorted list of keywords; "kwdict", a dictionary mapping each keyword to 1; and "iskeyword", a function which tells you if a given string happens to be a keyword.
1997-03-20 15:45:51 -04:00
kwlist = [
bpo-36143: Regenerate Lib/keyword.py from the Grammar and Tokens file using pgen (GH-12456) Now that the parser generator is written in Python (Parser/pgen) we can make use of it to regenerate the Lib/keyword file that contains the language keywords instead of parsing the autogenerated grammar files. This also allows checking in the CI that the autogenerated files are up to date.
2019-03-25 19:01:12 -03:00
'False',
'None',
'True',
[3.9] bpo-40939: Fix test_keyword for the old parser (GH-20814)
2020-06-11 15:29:13 -03:00
'__peg_parser__',
bpo-36143: Regenerate Lib/keyword.py from the Grammar and Tokens file using pgen (GH-12456) Now that the parser generator is written in Python (Parser/pgen) we can make use of it to regenerate the Lib/keyword file that contains the language keywords instead of parsing the autogenerated grammar files. This also allows checking in the CI that the autogenerated files are up to date.
2019-03-25 19:01:12 -03:00
'and',
'as',
'assert',
'async',
'await',
'break',
'class',
'continue',
'def',
'del',
'elif',
'else',
'except',
'finally',
'for',
'from',
'global',
'if',
'import',
'in',
'is',
'lambda',
'nonlocal',
'not',
'or',
'pass',
'raise',
'return',
'try',
'while',
'with',
'yield'
]
bpo-35975: Support parsing earlier minor versions of Python 3 (GH-12086) This adds a `feature_version` flag to `ast.parse()` (documented) and `compile()` (hidden) that allow tweaking the parser to support older versions of the grammar. In particular if `feature_version` is 5 or 6, the hacks for the `async` and `await` keyword from PEP 492 are reinstated. (For 7 or higher, these are unconditionally treated as keywords, but they are still special tokens rather than `NAME` tokens that the parser driver recognizes.) https://bugs.python.org/issue35975
2019-03-07 16:38:08 -04:00
[3.9] Include soft keywords in keyword.py (GH-20877). (GH-20880) (cherry picked from commit 78319e373d57cd4da67660f888aa7092efbd6f24) Co-authored-by: Pablo Galindo <Pablogsal@gmail.com>
2020-06-15 00:31:05 -03:00
softkwlist = [
]
SF patch #852140: keyword.py - use __contains__ and bool Use a set instead of dict with values equal to one.
2003-12-02 03:48:15 -04:00
iskeyword = frozenset(kwlist).__contains__
[3.9] Include soft keywords in keyword.py (GH-20877). (GH-20880) (cherry picked from commit 78319e373d57cd4da67660f888aa7092efbd6f24) Co-authored-by: Pablo Galindo <Pablogsal@gmail.com>
2020-06-15 00:31:05 -03:00
issoftkeyword = frozenset(softkwlist).__contains__