* The Windows-specific binary notice was probably a Python 2 thing
* Make it more obvious gettarinfo() is based on stat(), and that non-ordinary
files may need special care
* The file name must be text; suggest dummy arcname as a workaround
* Indicate TarInfo may be used directly, not just via gettarinfo()
* Add headings for each concrete and mix-in class and list methods and
attributes under them
* Fix class and method cross references
* Changed RequestHandler to BaseRequestHandler and added class heading
* Pull out Stream/DatagramRequestHandler definitions
* Reordered the request handler setup(), handle(), finish() methods
* Document constructor parameters for the server classes
* Remove version 2.6 not relevant for Python 3 documentation
* Various sections were pointing to the section on the string.Formatter
class, when the section on the common format string syntax is probably more
appropriate
* Fix references to various format() functions and methods
* Nested replacement fields may contain conversions and format specifiers,
and this is tested; see Issue #19729 for instance
Issue #26248, patch written by Ben Hoyt:
1) Clarify that the return values of is_dir()/is_file()/etc are cached
separately for follow_symlinks True and False.
2) Be more specific about when the functions require a system call, and how it
relates to caching and follow_symlinks.
3) DRY up common stuff between is_dir and is_file by saying "Caching, system
calls made, and exceptions raised are as per is_dir" in is_file.
4) Tweak to the first paragraph of docs for is_dir/is_file to simplify: assume
the follow_symlinks=True default, then note the follow_symlinks=False
non-default case after.
A single call to Pool.apply_async() will create only one process. To use all
of the pool's processes, it should be invoked multiple times:
with Pool(processes=4) as pool:
results = [pool.apply_async(func, ()) for i in range(4)]
Patch by Davin Potts.
A single call to Pool.apply_async() will create only one process. To use all
of the pool's processes, it should be invoked multiple times:
with Pool(processes=4) as pool:
results = [pool.apply_async(func, ()) for i in range(4)]
Patch by Davin Potts.
