python/dist/src/Doc/lib libitertools.tex, 1.28, 1.29
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May 1, 2004
8:31 a.m.
Update of /cvsroot/python/python/dist/src/Doc/lib In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv17351 Modified Files: libitertools.tex Log Message: Minor documentation nits. Index: libitertools.tex =================================================================== RCS file: /cvsroot/python/python/dist/src/Doc/lib/libitertools.tex,v retrieving revision 1.28 retrieving revision 1.29 diff -C2 -d -r1.28 -r1.29 *** libitertools.tex 20 Jan 2004 20:04:40 -0000 1.28 --- libitertools.tex 1 May 2004 08:31:36 -0000 1.29 *************** *** 34,38 **** to be added to future versions of the module. ! Whether cast in pure python form or C code, tools that use iterators are more memory efficient (and faster) than their list based counterparts. Adopting the principles of just-in-time manufacturing, they create --- 34,38 ---- to be added to future versions of the module. ! Whether cast in pure python form or compiled code, tools that use iterators are more memory efficient (and faster) than their list based counterparts. Adopting the principles of just-in-time manufacturing, they create *************** *** 378,382 **** >>> import operator ! >>> for cube in imap(operator.pow, xrange(1,4), repeat(3)): ... print cube ... --- 378,382 ---- >>> import operator ! >>> for cube in imap(operator.pow, xrange(1,5), repeat(3)): ... print cube ... *************** *** 384,390 **** 8 27 >>> reportlines = ['EuroPython', 'Roster', '', 'alex', '', 'laura', ! '', 'martin', '', 'walter', '', 'samuele'] >>> for name in islice(reportlines, 3, None, 2): ... print name.title() --- 384,391 ---- 8 27 + 64 >>> reportlines = ['EuroPython', 'Roster', '', 'alex', '', 'laura', ! '', 'martin', '', 'walter', '', 'mark'] >>> for name in islice(reportlines, 3, None, 2): ... print name.title() *************** *** 394,398 **** Martin Walter ! Samuele # Show a dictionary sorted and grouped by value --- 395,399 ---- Martin Walter ! Mark # Show a dictionary sorted and grouped by value *************** *** 423,430 **** \end{verbatim} ! This section shows how itertools can be combined to create other more ! powerful itertools. Note that \function{enumerate()} and \method{iteritems()} ! already have efficient implementations. They are included here ! to illustrate how higher level tools can be created from building blocks. \begin{verbatim} --- 424,441 ---- \end{verbatim} ! ! \subsection{Recipes \label{itertools-recipes}} ! ! This section shows recipes for creating an extended toolset using the ! existing itertools as building blocks. ! ! The extended tools offer the same high performance as the underlying ! toolset. The superior memory performance is kept by processing elements one ! at a time rather than bringing the whole iterable into memory all at once. ! Code volume is kept small by linking the tools together in a functional style ! which helps eliminate temporary variables. High speed is retained by ! preferring ``vectorized'' building blocks over the use of for-loops and ! generators which incur interpreter overhead. ! \begin{verbatim} *************** *** 463,467 **** def padnone(seq): ! "Returns the sequence elements and then returns None indefinitely" return chain(seq, repeat(None)) --- 474,482 ---- def padnone(seq): ! """Returns the sequence elements and then returns None indefinitely. ! ! Useful for emulating the behavior of the built-in map() function. ! ! """ return chain(seq, repeat(None)) *************** *** 477,482 **** def repeatfunc(func, times=None, *args): ! "Repeat calls to func with specified arguments." ! "Example: repeatfunc(random.random)" if times is None: return starmap(func, repeat(args)) --- 492,500 ---- def repeatfunc(func, times=None, *args): ! """Repeat calls to func with specified arguments. ! ! Example: repeatfunc(random.random) ! ! """ if times is None: return starmap(func, repeat(args))
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