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Update comments about the performance of xrange().

This commit is contained in:
Raymond Hettinger 2002-12-11 07:14:03 +00:00
parent 39c7b45964
commit d2bef8256b
2 changed files with 4 additions and 4 deletions
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4
Doc/lib/libstdtypes.tex
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@ -884,8 +884,8 @@ xrange object will always take the same amount of memory, no matter the
size of the range it represents. There are no consistent performance size of the range it represents. There are no consistent performance
advantages. advantages.
XRange objects have very little behavior: they only support indexing XRange objects have very little behavior: they only support indexing,
and the \function{len()} function. iteration, and the \function{len()} function.
\subsubsection{Mutable Sequence Types \label{typesseq-mutable}} \subsubsection{Mutable Sequence Types \label{typesseq-mutable}}

4
Objects/rangeobject.c
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@ -113,8 +113,8 @@ PyDoc_STRVAR(range_doc,
"xrange([start,] stop[, step]) -> xrange object\n\ "xrange([start,] stop[, step]) -> xrange object\n\
\n\ \n\
Like range(), but instead of returning a list, returns an object that\n\ Like range(), but instead of returning a list, returns an object that\n\
generates the numbers in the range on demand. This is slightly slower\n\ generates the numbers in the range on demand. For looping, this is \n\
than range() but more memory efficient."); slightly faster than range() and more memory efficient.");
static PyObject * static PyObject *
range_item(rangeobject *r, int i) range_item(rangeobject *r, int i)