).
http://students.ceid.upatras.gr/~sxanth/pyvm/
Sokolov Yura (funny_falcon)
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/ msg = textwrap.dedent('''\
// IDLE's subprocess can't connect to %s:%d. This may be due \
// to your personal firewall configuration. It is safe to \
// allow this internal connection because no data is visible on \
// external ports.''' % address)
//
/
Mixing Decimal and float is nearly ALWAYS a user error. Doing it correctly
requires significant expertise in the peculiarities of floating point
representations.
So that I think user should declare floats explicitly (###.###f) - he will fall
into float space only if
he wish it.
So Python
Excuse my English
I think, we could just segregate tokens for decimal and real float and
make them interoperable.
Motivation:
Most of us works with business databases - all floats are really
decimals, algebraic operations
should work without float inconsistency and those operations rare so
Agree.
i=1
def a():
i=2
def b():
print i
return b
a()()
2
def a():
i=2
def b():
exec print i
return b
a()()
1
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Offtopic:
Microsoft Windows [Version 5.2.3790]
(C) Copyright 1985-2003 Microsoft Corp.
G:\Working\1c:\Python24\python
Python 2.4.1 (#65, Mar 30 2005, 09:13:57) [MSC v.1310 32 bit (Intel)] on
win32
Type help, copyright, credits or license for more information.
from os import fork
Traceback
May be allow modules to define __getattr__ ?
def __getattr__(thing):
try:
return __some_standart_way__(thing)
except AttributeError:
if thing==Queue:
import sys
from Queue import Queue
New keyword is so expensive?
And why special case for 'then' is better than special case for 'take'?
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Sorry for looking in every hole.
Just a suggestion.
A= condition and first or second
problem is in case when first in (None,0,[],).
May be invent new operator 'take'.
take - returns right operator when left evals to True and stops
computing condidtional expression.
Then we could write:
A =
Ok. While windows already prefers threads, while linux-2.6 improves
thread support and speed,
while process startup expensive on time and memory, while we ought to
dublicate our data
and/or use obscure shared memory,
while it is much simpler to make threaded program with care just about
locks
Phillip J. Eby wrote:
At 09:12 PM 9/14/2005 +0400, Sokolov Yura wrote:
We could cash looks by this way:
Store with a class its version. Every time after creation when we change
a class
(add,remove or chage class member, including __base__, __bases__ and
mro) ,
we increase the version
Excuse my English.
I think I know how to remove GIL Obviously I am an idiot.
First about Py_INCREF and Py_DECREF.
We should not remove GIL at all. We should change it.
It must be one writer-many reader in a following semantic:
Lock has a read-counter and a write-counter. Initially both
Corrections:
Now, every thread keeps one n queue of objects to incref and second
queue to decref.
Both can be implemented as array, cause they will be freed at once.
Initially, every thread acquires GIL for read.
Py_INCREF places a ref into a incref queue of a thread,
Py_DECREF places a ref
Excuse my english.
I have a complex Idea. It can be not worth, but just look at.
It touches the classes and inheritance.
Base point:
We change classes not too often. But every look at a member leads to
search throw
a __dict__ of all bases in ierarhy till member found. We could cache
this search
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