2005/11/29, Kent Johnson <[EMAIL PROTECTED]>:
> Negroup - wrote:
[cut]
> Obviously this doesn't do what you want. The problem is that class A is
> seeing the limit defined in it's module. 'global' variables in Python
> actually have module scope, there
Hi.
Suppose that I need to use in my project a module that belongs to
another project, because - with some tuning - it can fit my needings.
This is what I mean, with an example:
module.py
limit = 30
class A:
def __init__(self):
self.num = 20
def info(self):
return limit
def inc_num
2005/11/23, Greg Lindstrom <[EMAIL PROTECTED]>:
> something that would read in my XML file and format it in a similar manner
> to "pretty print" so I can verify the correct information is being pulled.
> My immediate concern is to read in an XML stream from a file and format it
> with indentatio
2005/11/24, Liam Clarke <[EMAIL PROTECTED]>:
> What do you mean enabled?
>
> If it's imported into the namespace you can call it...
>
> Err, can you clarify on the enabling, what context are you using it
> in, and what are you trying to achieve?
Hi, sorry. I'll try to present the actors omitting t
Hi all! I'm here again with a question about introspection.
My module stores a set of functions. I need to know, from another
script, if a particular function of this module "is enabled" (it
means, if it shall be executed by the caller script). I looked for
some introspective builtin/function, but
Hi.
My application hosts a module A that contains only a (variable) number
of functions. In another part of this application I need to know which
functions are defined inside module A. Initially I thought to use
__dict__, but along with the functions of module A are listed all the
builtins too.
H
2005/11/21, Alan Gauld <[EMAIL PROTECTED]>:
> > Each dictionary has just one key and the corresponding
> > value.
> >
> > structure = [{'field1': lenght1}, {'field2': lenght2}, ]
>
> I'd use a tuple rather than a dictionary here:
Of course, this makes a lot of sense.
[cut]
> you can now
2005/11/21, Brian van den Broek <[EMAIL PROTECTED]>:
> Hi Negroup,
>
> why not just make structure a dict:
>
> structure = {'field1': lenght1, 'field2': lenght2}
>
> What does having a list of dicts all with a single key add but a layer
> of r
Hi all.
In my application I have chosen as data structure a list of
dictionaries. Each dictionary has just one key and the corresponding
value.
structure = [{'field1': lenght1}, {'field2': lenght2}, ]
Initially, to obtain the key and the value I used this code,
for structure in record_st
2005/10/11, paul brian <[EMAIL PROTECTED]>:
> Firstly are you using this to store or alter data regarding Microsoft
> Active Directory?. If so I suggest you look at some of their ADSI /
> WMI interfaces for COM (if you use win32com from Mark Hammond or
> activeState life becomes a lot easier. Well
ach key and value of the above descripted dictionary. Consider
that the keys are integers or strings, and if a key is a list, I need
to decode each contained element. Is there a way to walk recursively
the dictionary, or should I write my own walk functio
2005/9/28, Christopher Arndt <[EMAIL PROTECTED]>:
[cut]
>
> See http://www.python.org/doc/current/lib/module-xml.dom.minidom.html for more
> info.
Hi, this seems to be exactly what I was looking for!
import sys
from xml.dom import minidom
INDENT = ' ' * 4
file = sys.argv[1]
content = open(file
Hi all, I have an xml file where the tags are all on the same line,
without any newline. This file is quite big and difficult to read. I'd
like to format it in a convenient way, using indentation and nesting.
How to pretty print my content?
I hope to have explained well enough my problem, differen
Hi all, I have a question about the following lines of code:
>>> class Foo:
... bar = 'bar'
...
>>> # is it better this
>>> def te(attribute):
... try:
... print getattr(c, attribute)
... except AttributeError:
... return None
>>> #
>>> # or this?
>>> def h_a(at
2005/8/10, Michael Janssen <[EMAIL PROTECTED]>:
> On 8/10/05, Negroup - <[EMAIL PROTECTED]> wrote:
>
> > >>> f = open('codes.txt')
> > >>> # valid codes starts with 'abc' or '123' or 'ff5'
> > >
Hi.
>>> f = open('codes.txt')
>>> # valid codes starts with 'abc' or '123' or 'ff5'
>>> [valid for valid in f.readlines() if valid.startswith('abc') or
valid.startswith('123') or valid.startswith('ff5')]
This is just an example, in my application I don't need to check
strings against a huge numbe
Hi, Sorry for the subject a bit generic. This question comes from a
simple program I'm doing. I could have a working solution, but
considering my inexperience, I'm just asking if my approach is
acceptable.
This is a simple class to manage (actually to create and save)
categories of things. Categor
[cut]
>
> Yes, that is the more modern way to do it for new-style classes. In the
> original example, class A does not inherit from object so I used the older
> style.
>
Thanks guys for your answers, it's clear (even if I wouldn't be able
to figure it out by my own).
About old style/new style
I have this class:
>>> class A:
... def __init__(self, blank=False, editable=True, name='foo'):
... self.blank = blank
... self.editable = editable
... self.name = name
...
>>> a = A()
>>> a.blank, a.editable, a.name
(False, True, 'foo')
All as expected.
No
>>> help(f.read)
Help on built-in function read:
read(...)
read([size]) -> read at most size bytes, returned as a string.
If the size argument is negative or omitted, read until EOF is reached.
Notice that when in non-blocking mode, less data than what was requested
may be return
2005/7/13, Sandip Bhattacharya <[EMAIL PROTECTED]>:
> Negroup - wrote:
[cut]
>
> Why dont you use python-sqlite to dump your data? You might need to
> modify your sql slightly(depending on your current db), but rest is all sql.
Thanks for the suggestion, I didn't even k
Hi all, I hope my questions makes sense..
I'm trying to migrate a lot of data from an accounting system software
to another using Python. Software A stores datas inside sql tables,
software B too, with a different db structure.
My idea has been to export sensible tables from db A, store them in
py
Hi, in my application I need to generate a zip file (via the great
zipfile module) and pass it from function A to function B. One way to
do it is create the object from function A and write it on filesystem
via close(). Then, function B will obtain the object reading the file
from disk. After this
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