49 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
			
		
		
	
	
			49 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
| This directory contains a number of Python programs that are useful
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| while building or extending Python.
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| 
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| buildbot        Batchfiles for running on Windows buildbot workers.
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| 
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| ccbench         A Python threads-based concurrency benchmark. (*)
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| 
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| demo            Several Python programming demos.
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| 
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| freeze          Create a stand-alone executable from a Python program.
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| 
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| gdb             Python code to be run inside gdb, to make it easier to
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|                 debug Python itself (by David Malcolm).
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| 
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| i18n            Tools for internationalization. pygettext.py
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|                 parses Python source code and generates .pot files,
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|                 and msgfmt.py generates a binary message catalog
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|                 from a catalog in text format.
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| 
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| iobench         Benchmark for the new Python I/O system. (*)
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| 
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| msi             Support for packaging Python as an MSI package on Windows.
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| 
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| parser          Un-parsing tool to generate code from an AST.
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| 
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| peg_generator   PEG-based parser generator (pegen) used for new parser.
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| 
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| pynche          A Tkinter-based color editor.
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| 
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| scripts         A number of useful single-file programs, e.g. tabnanny.py
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|                 by Tim Peters, which checks for inconsistent mixing of
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|                 tabs and spaces, and 2to3, which converts Python 2 code
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|                 to Python 3 code.
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| 
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| stringbench     A suite of micro-benchmarks for various operations on
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|                 strings (both 8-bit and unicode). (*)
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| 
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| test2to3        A demonstration of how to use 2to3 transparently in setup.py.
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| 
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| unicode         Tools for generating unicodedata and codecs from unicode.org
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|                 and other mapping files (by Fredrik Lundh, Marc-Andre Lemburg
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|                 and Martin von Loewis).
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| 
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| unittestgui     A Tkinter based GUI test runner for unittest, with test
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|                 discovery.
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| 
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| 
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| (*) A generic benchmark suite is maintained separately at https://github.com/python/performance
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