fixed list indentation; status: Draft is correct

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David Goodger 2003-10-23 12:51:30 +00:00
parent 59156b6c63
commit 326a56a0f3
1 changed files with 86 additions and 84 deletions

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@ -3,7 +3,7 @@ Title: Generator Expressions
Version: $Revision$
Last-Modified: $Date$
Author: python@rcn.com (Raymond D. Hettinger)
Status: Active
Status: Draft
Type: Standards Track
Content-Type: text/x-rst
Created: 30-Jan-2002
@ -91,122 +91,124 @@ c.l.py. The Python Reference Manual should contain a 100% exact
semantic and syntactic specification.)
1. The semantics of a generator expression are equivalent to creating
an anonymous generator function and calling it. For example::
an anonymous generator function and calling it. For example::
g = (x**2 for x in range(10))
print g.next()
g = (x**2 for x in range(10))
print g.next()
is equivalent to::
is equivalent to::
def __gen():
for x in range(10):
yield x**2
g = __gen()
print g.next()
def __gen():
for x in range(10):
yield x**2
g = __gen()
print g.next()
2. The syntax requires that a generator expression always needs to be
directly inside a set of parentheses and cannot have a comma on either
side. With reference to the file Grammar/Grammar in CVS, two rules
change:
directly inside a set of parentheses and cannot have a comma on
either side. With reference to the file Grammar/Grammar in CVS,
two rules change:
a) The rule::
a) The rule::
atom: '(' [testlist] ')'
atom: '(' [testlist] ')'
changes to::
changes to::
atom: '(' [listmaker1] ')'
atom: '(' [listmaker1] ')'
where listmaker1 is almost the same as listmaker, but only allows
a single test after 'for' ... 'in'.
where listmaker1 is almost the same as listmaker, but only
allows a single test after 'for' ... 'in'.
b) The rule for arglist needs similar changes.
b) The rule for arglist needs similar changes.
This means that you can write::
This means that you can write::
sum(x**2 for x in range(10))
sum(x**2 for x in range(10))
but you would have to write::
but you would have to write::
reduce(operator.add, (x**2 for x in range(10)))
reduce(operator.add, (x**2 for x in range(10)))
and also::
and also::
g = (x**2 for i in range(10))
g = (x**2 for i in range(10))
i.e. if a function call has a single positional argument, it can be a
generator expression without extra parentheses, but in all other cases
you have to parenthesize it.
i.e. if a function call has a single positional argument, it can be
a generator expression without extra parentheses, but in all other
cases you have to parenthesize it.
3. The loop variable (if it is a simple variable or a tuple of simple
variables) is not exposed to the surrounding function. This facilates
the implementation and makes typical use cases more reliable. In some
future version of Python, list comprehensions will also hide the
induction variable from the surrounding code (and, in Py2.4, warnings
will be issued for code accessing the induction variable).
variables) is not exposed to the surrounding function. This
facilates the implementation and makes typical use cases more
reliable. In some future version of Python, list comprehensions
will also hide the induction variable from the surrounding code
(and, in Py2.4, warnings will be issued for code accessing the
induction variable).
For example::
For example::
x = "hello"
y = list(x for x in "abc")
print x # prints "hello", not "c"
x = "hello"
y = list(x for x in "abc")
print x # prints "hello", not "c"
(Loop variables may also use constructs like x[i] or x.a; this form
may be deprecated.)
(Loop variables may also use constructs like x[i] or x.a; this form
may be deprecated.)
4. All free variable bindings are captured at the time this function
is defined, and passed into it using default argument values. For
example::
is defined, and passed into it using default argument values. For
example::
x = 0
g = (x for c in "abc") # x is not the loop variable!
x = 1
print g.next() # prints 0 (captured x), not 1 (current x)
x = 0
g = (x for c in "abc") # x is not the loop variable!
x = 1
print g.next() # prints 0 (captured x), not 1 (current x)
This behavior of free variables is almost always what you want when
the generator expression is evaluated at a later point than its
definition. In fact, to date, no examples have been found of code
where it would be better to use the execution-time instead of the
definition-time value of a free variable.
This behavior of free variables is almost always what you want when
the generator expression is evaluated at a later point than its
definition. In fact, to date, no examples have been found of code
where it would be better to use the execution-time instead of the
definition-time value of a free variable.
Note that free variables aren't copied, only their binding is
captured. They may still change if they are mutable, for example::
Note that free variables aren't copied, only their binding is
captured. They may still change if they are mutable, for example::
x = []
g = (x for c in "abc")
x.append(1)
print g.next() # prints [1], not []
x = []
g = (x for c in "abc")
x.append(1)
print g.next() # prints [1], not []
5. List comprehensions will remain unchanged. For example::
[x for x in S] # This is a list comprehension.
[(x for x in S)] # This is a list containing one generator expression.
[x for x in S] # This is a list comprehension.
[(x for x in S)] # This is a list containing one generator
# expression.
Unfortunately, there is currently a slight syntactic difference. The
expression::
Unfortunately, there is currently a slight syntactic difference.
The expression::
[x for x in 1, 2, 3]
[x for x in 1, 2, 3]
is legal, meaning::
is legal, meaning::
[x for x in (1, 2, 3)]
[x for x in (1, 2, 3)]
But generator expressions will not allow the former version::
But generator expressions will not allow the former version::
(x for x in 1, 2, 3)
(x for x in 1, 2, 3)
is illegal.
is illegal.
The former list comprehension syntax will become illegal in Python
3.0, and should be deprecated in Python 2.4 and beyond.
The former list comprehension syntax will become illegal in Python
3.0, and should be deprecated in Python 2.4 and beyond.
List comprehensions also "leak" their loop variable into the
surrounding scope. This will also change in Python 3.0, so that the
semantic definition of a list comprehension in Python 3.0 will be
equivalent to list(<generator expression>). Python 2.4 and beyond
should issue a deprecation warning if a list comprehension's loop
variable has the same name as a variable used in the immediately
surrounding scope.
List comprehensions also "leak" their loop variable into the
surrounding scope. This will also change in Python 3.0, so that
the semantic definition of a list comprehension in Python 3.0 will
be equivalent to list(<generator expression>). Python 2.4 and
beyond should issue a deprecation warning if a list comprehension's
loop variable has the same name as a variable used in the
immediately surrounding scope.
Reduction Functions
@ -215,25 +217,25 @@ Reduction Functions
The utility of generator expressions is greatly enhanced when combined
with reduction functions like sum(), min(), and max(). Separate
proposals are forthcoming that recommend several new accumulation
functions possibly including: product(), average(), alltrue(),
functions possibly including: product(), average(), alltrue(),
anytrue(), nlargest(), nsmallest().
Acknowledgements
================
* Raymond Hettinger first proposed the idea of "generator comprehensions"
in January 2002.
* Raymond Hettinger first proposed the idea of "generator
comprehensions" in January 2002.
* Peter Norvig resurrected the discussion in his proposal for
Accumulation Displays.
* Alex Martelli provided critical measurements that proved the performance
benefits of generator expressions. He also provided strong arguments
that they were a desirable thing to have.
* Alex Martelli provided critical measurements that proved the
performance benefits of generator expressions. He also provided
strong arguments that they were a desirable thing to have.
* Samuele Pedroni provided the example of late binding.
Various contributors have made arguments for and against late binding.
* Samuele Pedroni provided the example of late binding. Various
contributors have made arguments for and against late binding.
* Phillip Eby suggested "iterator expressions" as the name.