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Generalize dictionary() to accept a sequence of 2-sequences. At the
outer level, the iterator protocol is used for memory-efficiency (the
outer sequence may be very large if fully materialized); at the inner
level, PySequence_Fast() is used for time-efficiency (these should
always be sequences of length 2).
dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are
wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2-
sequences argument instead of a mapping object. For now, I left these
functions file static, so no corresponding doc changes. It's tempting
to change dict.update() to allow a sequence-of-2-seqs argument too.
Also changed the name of dictionary's keyword argument from "mapping"
to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't
attractive, although more so than "mosop" <wink>.
abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function,
much faster than going thru the all-purpose PySequence_Size.
libfuncs.tex:
- Document dictionary().
- Fiddle tuple() and list() to admit that their argument is optional.
- The long-winded repetitions of "a sequence, a container that supports
iteration, or an iterator object" is getting to be a PITA. Many
months ago I suggested factoring this out into "iterable object",
where the definition of that could include being explicit about
generators too (as is, I'm not sure a reader outside of PythonLabs
could guess that "an iterator object" includes a generator call).
- Please check my curly braces -- I'm going blind <0.9 wink>.
abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave
its error msg alone now (the msg it produces has improved since
PySequence_Tuple was generalized to accept iterable objects, and
PySequence_Tuple was also stomping on the msg in cases it shouldn't
have even before PyObject_GetIter grew a better msg).
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7 changed files with 199 additions and 36 deletions
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@ -125,7 +125,7 @@ for which they do not apply, they will raise a Python exception.
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the Unicode string representation on success, \NULL{} on failure.
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This is the equivalent of the Python expression
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\samp{unistr(\var{o})}. Called by the
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\function{unistr()}\bifuncindex{unistr} built-in function.
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\function{unistr()}\bifuncindex{unistr} built-in function.
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\end{cfuncdesc}
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\begin{cfuncdesc}{int}{PyObject_IsInstance}{PyObject *inst, PyObject *cls}
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@ -715,10 +715,17 @@ determination.
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\begin{cfuncdesc}{PyObject*}{PySequence_Fast_GET_ITEM}{PyObject *o, int i}
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Return the \var{i}th element of \var{o}, assuming that \var{o} was
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returned by \cfunction{PySequence_Fast()}, and that \var{i} is
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within bounds. The caller is expected to get the length of the
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sequence by calling \cfunction{PySequence_Size()} on \var{o}, since
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lists and tuples are guaranteed to always return their true length.
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returned by \cfunction{PySequence_Fast()}, \var{o} is not \NULL{},
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and that \var{i} is within bounds.
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\end{cfuncdesc}
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\begin{cfuncdesc}{int}{PySequence_Fast_GET_SIZE}{PyObject *o}
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Returns the length of \var{o}, assuming that \var{o} was
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returned by \cfunction{PySequence_Fast()} and that \var{o} is
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not \NULL{}. The size can also be gotten by calling
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\cfunction{PySequence_Size()} on \var{o}, but
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\cfunction{PySequence_Fast_GET_SIZE()} is faster because it can
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assume \var{o} is a list or tuple.
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\end{cfuncdesc}
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