githubmirror/cpython

Tools/README
48 строк2 KB
Pablo Galindo
bpo-40334: PEP 617 implementation: New PEG parser for CPython (GH-19503)
23 апр 2020, 01:29
23 апр 2020, 01:29c5fc156
This directory contains a number of Python programs that are useful
while building or extending Python.

buildbot        Batchfiles for running on Windows buildbot workers.

ccbench         A Python threads-based concurrency benchmark. (*)

demo            Several Python programming demos.

freeze          Create a stand-alone executable from a Python program.

gdb             Python code to be run inside gdb, to make it easier to
                debug Python itself (by David Malcolm).

i18n            Tools for internationalization. pygettext.py
                parses Python source code and generates .pot files,
                and msgfmt.py generates a binary message catalog
                from a catalog in text format.

iobench         Benchmark for the new Python I/O system. (*)

msi             Support for packaging Python as an MSI package on Windows.

parser          Un-parsing tool to generate code from an AST.

peg_generator   PEG-based parser generator (pegen) used for new parser.

pynche          A Tkinter-based color editor.

scripts         A number of useful single-file programs, e.g. tabnanny.py
                by Tim Peters, which checks for inconsistent mixing of
                tabs and spaces, and 2to3, which converts Python 2 code
                to Python 3 code.

stringbench     A suite of micro-benchmarks for various operations on
                strings (both 8-bit and unicode). (*)

test2to3        A demonstration of how to use 2to3 transparently in setup.py.

unicode         Tools for generating unicodedata and codecs from unicode.org
                and other mapping files (by Fredrik Lundh, Marc-Andre Lemburg
                and Martin von Loewis).

unittestgui     A Tkinter based GUI test runner for unittest, with test
                discovery.


(*) A generic benchmark suite is maintained separately at https://github.com/python/performance