[Python-checkins] python/dist/src/Doc/lib libitertools.tex, 1.28, 1.29 (original) (raw)
rhettinger at users.sourceforge.net rhettinger at users.sourceforge.net
Sat May 1 04:31:38 EDT 2004
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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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