Kaydet (Commit) 143d034e authored tarafından Benjamin Peterson's avatar Benjamin Peterson

merge 3.2

......@@ -365,7 +365,7 @@ Glossary
iterator
An object representing a stream of data. Repeated calls to the iterator's
:meth:`__next__` method (or passing it to the built-in function
:meth:`~iterator.__next__` method (or passing it to the built-in function
:func:`next`) return successive items in the stream. When no more data
are available a :exc:`StopIteration` exception is raised instead. At this
point, the iterator object is exhausted and any further calls to its
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......@@ -23,7 +23,7 @@ Using 2to3
also located in the :file:`Tools/scripts` directory of the Python root.
2to3's basic arguments are a list of files or directories to transform. The
directories are to recursively traversed for Python sources.
directories are recursively traversed for Python sources.
Here is a sample Python 2.x source file, :file:`example.py`::
......
......@@ -42,12 +42,13 @@ Executor Objects
Equivalent to ``map(func, *iterables)`` except *func* is executed
asynchronously and several calls to *func* may be made concurrently. The
returned iterator raises a :exc:`TimeoutError` if :meth:`__next__()` is
called and the result isn't available after *timeout* seconds from the
original call to :meth:`Executor.map`. *timeout* can be an int or a
float. If *timeout* is not specified or ``None``, there is no limit to
the wait time. If a call raises an exception, then that exception will
be raised when its value is retrieved from the iterator.
returned iterator raises a :exc:`TimeoutError` if
:meth:`~iterator.__next__` is called and the result isn't available
after *timeout* seconds from the original call to :meth:`Executor.map`.
*timeout* can be an int or a float. If *timeout* is not specified or
``None``, there is no limit to the wait time. If a call raises an
exception, then that exception will be raised when its value is
retrieved from the iterator.
.. method:: shutdown(wait=True)
......@@ -364,10 +365,11 @@ Module Functions
different :class:`Executor` instances) given by *fs* that yields futures as
they complete (finished or were cancelled). Any futures that completed
before :func:`as_completed` is called will be yielded first. The returned
iterator raises a :exc:`TimeoutError` if :meth:`__next__` is called and the
result isn't available after *timeout* seconds from the original call to
:func:`as_completed`. *timeout* can be an int or float. If *timeout* is not
specified or ``None``, there is no limit to the wait time.
iterator raises a :exc:`TimeoutError` if :meth:`~iterator.__next__` is
called and the result isn't available after *timeout* seconds from the
original call to :func:`as_completed`. *timeout* can be an int or float.
If *timeout* is not specified or ``None``, there is no limit to the wait
time.
.. seealso::
......
......@@ -660,10 +660,10 @@ the more significant byte last.
.. opcode:: FOR_ITER (delta)
``TOS`` is an :term:`iterator`. Call its :meth:`__next__` method. If this
yields a new value, push it on the stack (leaving the iterator below it). If
the iterator indicates it is exhausted ``TOS`` is popped, and the byte code
counter is incremented by *delta*.
``TOS`` is an :term:`iterator`. Call its :meth:`~iterator.__next__` method.
If this yields a new value, push it on the stack (leaving the iterator below
it). If the iterator indicates it is exhausted ``TOS`` is popped, and the
byte code counter is incremented by *delta*.
.. opcode:: LOAD_GLOBAL (namei)
......
......@@ -348,10 +348,10 @@ are always available. They are listed here in alphabetical order.
.. function:: enumerate(iterable, start=0)
Return an enumerate object. *iterable* must be a sequence, an
:term:`iterator`, or some other object which supports iteration. The
:meth:`__next__` method of the iterator returned by :func:`enumerate` returns a
tuple containing a count (from *start* which defaults to 0) and the
values obtained from iterating over *iterable*.
:term:`iterator`, or some other object which supports iteration.
The :meth:`~iterator.__next__` method of the iterator returned by
:func:`enumerate` returns a tuple containing a count (from *start* which
defaults to 0) and the values obtained from iterating over *iterable*.
>>> seasons = ['Spring', 'Summer', 'Fall', 'Winter']
>>> list(enumerate(seasons))
......@@ -683,9 +683,10 @@ are always available. They are listed here in alphabetical order.
starting at ``0``). If it does not support either of those protocols,
:exc:`TypeError` is raised. If the second argument, *sentinel*, is given,
then *object* must be a callable object. The iterator created in this case
will call *object* with no arguments for each call to its :meth:`__next__`
method; if the value returned is equal to *sentinel*, :exc:`StopIteration`
will be raised, otherwise the value will be returned.
will call *object* with no arguments for each call to its
:meth:`~iterator.__next__` method; if the value returned is equal to
*sentinel*, :exc:`StopIteration` will be raised, otherwise the value will
be returned.
One useful application of the second form of :func:`iter` is to read lines of
a file until a certain line is reached. The following example reads a file
......@@ -779,9 +780,9 @@ are always available. They are listed here in alphabetical order.
.. function:: next(iterator[, default])
Retrieve the next item from the *iterator* by calling its :meth:`__next__`
method. If *default* is given, it is returned if the iterator is exhausted,
otherwise :exc:`StopIteration` is raised.
Retrieve the next item from the *iterator* by calling its
:meth:`~iterator.__next__` method. If *default* is given, it is returned
if the iterator is exhausted, otherwise :exc:`StopIteration` is raised.
.. function:: object()
......
......@@ -779,9 +779,9 @@ specific sequence types, dictionaries, and other more specialized forms. The
specific types are not important beyond their implementation of the iterator
protocol.
Once an iterator's :meth:`__next__` method raises :exc:`StopIteration`, it must
continue to do so on subsequent calls. Implementations that do not obey this
property are deemed broken.
Once an iterator's :meth:`~iterator.__next__` method raises
:exc:`StopIteration`, it must continue to do so on subsequent calls.
Implementations that do not obey this property are deemed broken.
.. _generator-types:
......@@ -792,7 +792,8 @@ Generator Types
Python's :term:`generator`\s provide a convenient way to implement the iterator
protocol. If a container object's :meth:`__iter__` method is implemented as a
generator, it will automatically return an iterator object (technically, a
generator object) supplying the :meth:`__iter__` and :meth:`__next__` methods.
generator object) supplying the :meth:`__iter__` and :meth:`~generator.__next__`
methods.
More information about generators can be found in :ref:`the documentation for
the yield expression <yieldexpr>`.
......
......@@ -600,9 +600,9 @@ Callable types
A function or method which uses the :keyword:`yield` statement (see section
:ref:`yield`) is called a :dfn:`generator function`. Such a function, when
called, always returns an iterator object which can be used to execute the
body of the function: calling the iterator's :meth:`__next__` method will
cause the function to execute until it provides a value using the
:keyword:`yield` statement. When the function executes a
body of the function: calling the iterator's :meth:`iterator__next__`
method will cause the function to execute until it provides a value
using the :keyword:`yield` statement. When the function executes a
:keyword:`return` statement or falls off the end, a :exc:`StopIteration`
exception is raised and the iterator will have reached the end of the set of
values to be returned.
......@@ -1189,7 +1189,7 @@ Basic customization
builtin: print
Called by the :func:`format` built-in function (and by extension, the
:meth:`format` method of class :class:`str`) to produce a "formatted"
:meth:`str.format` method of class :class:`str`) to produce a "formatted"
string representation of an object. The ``format_spec`` argument is
a string that contains a description of the formatting options desired.
The interpretation of the ``format_spec`` argument is up to the type
......
......@@ -294,13 +294,13 @@ for comprehensions, except that it is enclosed in parentheses instead of
brackets or curly braces.
Variables used in the generator expression are evaluated lazily when the
:meth:`__next__` method is called for generator object (in the same fashion as
normal generators). However, the leftmost :keyword:`for` clause is immediately
evaluated, so that an error produced by it can be seen before any other possible
error in the code that handles the generator expression. Subsequent
:keyword:`for` clauses cannot be evaluated immediately since they may depend on
the previous :keyword:`for` loop. For example: ``(x*y for x in range(10) for y
in bar(x))``.
:meth:`~generator.__next__` method is called for generator object (in the same
fashion as normal generators). However, the leftmost :keyword:`for` clause is
immediately evaluated, so that an error produced by it can be seen before any
other possible error in the code that handles the generator expression.
Subsequent :keyword:`for` clauses cannot be evaluated immediately since they
may depend on the previous :keyword:`for` loop. For example: ``(x*y for x in
range(10) for y in bar(x))``.
The parentheses can be omitted on calls with only one argument. See section
:ref:`calls` for the detail.
......@@ -394,10 +394,11 @@ is already executing raises a :exc:`ValueError` exception.
Starts the execution of a generator function or resumes it at the last
executed :keyword:`yield` expression. When a generator function is resumed
with a :meth:`__next__` method, the current :keyword:`yield` expression
always evaluates to :const:`None`. The execution then continues to the next
:keyword:`yield` expression, where the generator is suspended again, and the
value of the :token:`expression_list` is returned to :meth:`next`'s caller.
with a :meth:`~generator.__next__` method, the current :keyword:`yield`
expression always evaluates to :const:`None`. The execution then continues
to the next :keyword:`yield` expression, where the generator is suspended
again, and the value of the :token:`expression_list` is returned to
:meth:`next`'s caller.
If the generator exits without yielding another value, a :exc:`StopIteration`
exception is raised.
......
......@@ -737,11 +737,11 @@ using a :keyword:`for` statement::
This style of access is clear, concise, and convenient. The use of iterators
pervades and unifies Python. Behind the scenes, the :keyword:`for` statement
calls :func:`iter` on the container object. The function returns an iterator
object that defines the method :meth:`__next__` which accesses elements in the
container one at a time. When there are no more elements, :meth:`__next__`
raises a :exc:`StopIteration` exception which tells the :keyword:`for` loop to
terminate. You can call the :meth:`__next__` method using the :func:`next`
built-in function; this example shows how it all works::
object that defines the method :meth:`~iterator.__next__` which accesses
elements in the container one at a time. When there are no more elements,
:meth:`__next__` raises a :exc:`StopIteration` exception which tells the
:keyword:`for` loop to terminate. You can call the :meth:`__next__` method
using the :func:`next` built-in function; this example shows how it all works::
>>> s = 'abc'
>>> it = iter(s)
......@@ -761,8 +761,8 @@ built-in function; this example shows how it all works::
Having seen the mechanics behind the iterator protocol, it is easy to add
iterator behavior to your classes. Define an :meth:`__iter__` method which
returns an object with a :meth:`__next__` method. If the class defines
:meth:`__next__`, then :meth:`__iter__` can just return ``self``::
returns an object with a :meth:`~iterator.__next__` method. If the class
defines :meth:`__next__`, then :meth:`__iter__` can just return ``self``::
class Reverse:
"""Iterator for looping over a sequence backwards."""
......@@ -819,8 +819,8 @@ easy to create::
Anything that can be done with generators can also be done with class based
iterators as described in the previous section. What makes generators so
compact is that the :meth:`__iter__` and :meth:`__next__` methods are created
automatically.
compact is that the :meth:`__iter__` and :meth:`~generator.__next__` methods
are created automatically.
Another key feature is that the local variables and execution state are
automatically saved between calls. This made the function easier to write and
......
......@@ -771,7 +771,7 @@ Operators And Special Methods
respectively).
* :pep:`3114`: the standard :meth:`next` method has been renamed to
:meth:`__next__`.
:meth:`~iterator.__next__`.
* The :meth:`__oct__` and :meth:`__hex__` special methods are removed
-- :func:`oct` and :func:`hex` use :meth:`__index__` now to convert
......@@ -807,7 +807,7 @@ Builtins
To get the old behavior of :func:`input`, use ``eval(input())``.
* A new built-in function :func:`next` was added to call the
:meth:`__next__` method on an object.
:meth:`~iterator.__next__` method on an object.
* The :func:`round` function rounding strategy and return type have
changed. Exact halfway cases are now rounded to the nearest even
......
......@@ -595,8 +595,13 @@ def win32_ver(release='',version='',csd='',ptype=''):
release = '7'
else:
release = '2008ServerR2'
elif min == 2:
if product_type == VER_NT_WORKSTATION:
release = '8'
else:
release = '2012Server'
else:
release = 'post2008Server'
release = 'post2012Server'
else:
if not release:
......
......@@ -565,10 +565,10 @@ class RunPathTestCase(unittest.TestCase, CodeExecutionMixin):
with open(filename, 'w', encoding='latin1') as f:
f.write("""
#coding:latin1
"non-ASCII: h\xe9"
s = "non-ASCII: h\xe9"
""")
result = run_path(filename)
self.assertEqual(result['__doc__'], "non-ASCII: h\xe9")
self.assertEqual(result['s'], "non-ASCII: h\xe9")
def test_main():
......
......@@ -250,6 +250,7 @@ class TestTimeit(unittest.TestCase):
s = self.run_main(seconds_per_increment=60.0, switches=['-r-5'])
self.assertEqual(s, "10 loops, best of 1: 60 sec per loop\n")
@unittest.skipIf(sys.flags.optimize >= 2, "need __doc__")
def test_main_help(self):
s = self.run_main(switches=['-h'])
# Note: It's not clear that the trailing space was intended as part of
......
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