Re: ANN: geany-pyflakes 1.0
> OK - it no longer crashes, but it doesn't appear to do anything. Is there > something further I need to do to configure it? The Pyflakes tab does > appear in the message window and I've created a new testpyflakes.py with > code similar to your example. OK, so there must be something wrong. Do you have pyflakes installed? Where are they installed? > Also, just FYI, the plugin manager now shows the version as 1.0.1 while the > tar file name indicates 1.0.2. Yeah, I should make a configure file with version and use it in c code, to never make that mistake again, but I really, really don't wanto to touch autotools again. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: ANN: geany-pyflakes 1.0
> fyi - the downloaded geany-pyflakes-1.0.tar.gz is in fact not gzipped and > should either be gizzped or simply named geany-pyflakes-1.0.tar. > > However, after activating the plugin, asking geany for a new file breaks > geany and it rudely closes so I'm unable to actually do anything with it. I have posted a gzipped version with a fix. Would you care to take a look? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
ANN: geany-pyflakes 1.0
Hello everyone, I have just published a small plugin for Geany IDE that adds Pyflakes error detection to the editor. If there are people using Geany for Python development I would be very grateful for opinions and suggestions. The plugin can be found here: http://code.google.com/p/geany-pyflakes/ -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
ANN: fathom 0.4.0, fathom-tools 0.1.0, qfathom 0.1.0
Hello everyone! I would like to announce new version of fathom as well as two more packages built on top fathom. All this code is still very young and experimental, so it is not supposed to be production ready. However, I would greatly appreciate any advice or ideas on what could be useful and what would you expect of those packages. fathom 0.4.0 Fathom is python 3 library for inspecting database schema. It produces objective model of all database objects and thus allows easy database inspection. Changes: * Indices are top level objects and provide information about index uniqueness * Procedure objects provide information about arguments for MySQL * Rather than raise database specific exception library strives to raise FathomError http://code.google.com/p/fathom/ fathom-tools This is a separate package with utilities that were earlier in fathom package. It includes: * fathom2django which produces django models from database schema and now handles many to many fields, which makes it better than Django's inspectdb * fathom2graphviz which produces graphviz dot files with entity-relationship diagrams * utilities for building new tools based on fathom library http://code.google.com/p/fathom-tools qfathom QFathom is graphical tool written in python3 and PyQt for inspecting the database. It is basically a graphical frontend for fathom. http://code.google.com/p/qfathom/ And once again any kind of ideas or comments would be greatly appreciated. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
ANN: Fathom 0.3.0
Hi, I have released version 0.2.0 of fathom, python3 package for database inspection. Fathom supports retrieving database schema from Sqlite3, PostgreSQL, MySQL and Oracle. This is still very early version and I am experimenting with different approaches. As always I would be very thankful for any input and suggestions about what would be useful in the library or tools. Here you can download the package: http://code.google.com/p/fathom/downloads/list **Changes in 0.3.0:** -> Oracle support :-) -> Triggers provide information about event upon which they are fired -> utility function for finding procedures that access a table -> fathom2graphviz draws lines between columns for foreign key -> fathom2graphviz and fathom2django can now print output to a file, rather than to std -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
ANN: fathom 0.2.0
Hi, I have released version 0.2.0 of fathom, python3 package for database inspection. Fathom supports retrieving database schema from Sqlite3, PostgreSQL and MySQL. This is still very early version and I am experimenting with different approaches. I would be very thankful for any input and suggestions about what would be useful in the library or tools. **Changes in Version 0.2.0** * get_database convenience function, that doesn't require knowledge of database type * Index object provides information about columns, that are indexed * Table provides information about foreign keys * Procedure objects provide return value and procedure's body * Database object provides trigger list * Utility function get_database_type, that tries to guess database type * Tools: -> fathom2django that generates django models from database schema -> fathom2graphviz that generates entity-relationship diagrams in graphviz dot language, that can be turned into pdf or image files -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: ANN: fathom 0.2.0
I forgot links: Homepage: http://code.google.com/p/fathom/ Documentation: http://code.google.com/p/fathom/wiki/Manual -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
ANN: fathom 0.1.0
Hello everyone! I have created a small python package for python3 called fathom that provides database inspection. It is in a very early stage, rather a proof of concept right now. It provides basic information about database schema and works with Sqlite3, PostgreSQL and MySQL. I am looking for comments and additional ideas for new features.. Documentation can be found here: http://code.google.com/p/fathom/wiki/Manual Package can be downloaded from PyPi or from here: http://code.google.com/p/fathom/downloads/list -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: function annotations in open source projects
Thanks for the links. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
function annotations in open source projects
Do you know any open source python3 projects that use function annotations? I would like to see some real use, so maybe I find them useful to use in my own project. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
ANN: logbuilder 0.1.0a
This is a one-time post to annouce the creation of logbuilder project, an open source tool for change log creation based on version control commit messages. Using conventions in commit messages logbuilder detects messages that can be imported into the change log and painlessly creates on for every version of software. Home page: http://code.google.com/p/logbuilder/ Features: * Subersion support * Mercurial support * Filtering using wildcards, regular expressions and string matching * (planned) Using templates for displaying results Requirements: * Python 2.6+ * pysvn or mercurial For more information, please come to http://code.google.com/p/logbuilder/. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Which is more pythonic?
I have just written a very small snippet of code and started thinking, which version would be more pythonic. Basically, I am adding a list of string to combo box in qt. So, the most obvious way is: for choice in self.__choices: choicesBox.addItem(choice) But I could also do: map(self.__choices, choicesBox.addItem) or [choicesBox.addItem(choice) for choice in self.__choices] I guess map version would be fastest and explicit for is the slowest version. However, the first, most obvious way seems most clear to me and I don't have to care about speed with adding elements to combo box. Still, it's two lines instead of one, so maybe it's not the best. So, which one is? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Validating positional arguments in optparse
> That being said, I still stick with optparse. I prefer the dogmatic > interface that makes all my exe use the exact same (POSIX) convention. I > really don't care about writing /file instead of --file I would like to keep POSIX convention too, but just wanted OptionParser to do the dirty work of checking that arguments are all right for me and wanted to know the reason, it doesn't. I guess I should write a subclass, which would do just that. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Validating positional arguments in optparse
optparse module is quite smart, when it comes to validating options, like assuring, that certain option must be an integer. However, I can't find any information about validating, that positional arguments were provided and I can't find methods, that would allow defining positional argument in OptionParser. Is it possible to do this, or was it intentionaly left this way? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Specific iterator in one line
Oh, and there is additional requirement: it must be a one liner with
at most 80 characters ;-)
W dniu 30 czerwca 2009 10:44 użytkownik Filip Gruszczyński
napisał:
> This is purely sport question. I don't really intend to use the answer
> in my code, but I am wondering, if such a feat could be done.
>
> I have a following problem: I have a list based upon which I would
> like to construct a different one. I could simply use list
> comprehensions, but there is an additional trick: for some elements on
> this list, I would like to return two objects. For example I have a
> list of 0s and 1s and for 0 I would like to add 1 'a' and for 1 I
> would like to add 2 'b', like this:
>
> [1, 0, 0, 1] -> ['b', 'b', 'a', 'a', 'b', 'b']
>
> The easy way is to return a tuple ('b', 'b') for 1s and then flatten
> them. But this doesn't seem very right - I'd prefer to create a nice
> iterable right away. Is it possible to achieve this? Curiosly, the
> other way round is pretty simple to achieve, because you can filter
> objects using if in list comprehension.
>
>
> --
> Filip Gruszczyński
>
--
Filip Gruszczyński
--
http://mail.python.org/mailman/listinfo/python-list
Specific iterator in one line
This is purely sport question. I don't really intend to use the answer
in my code, but I am wondering, if such a feat could be done.
I have a following problem: I have a list based upon which I would
like to construct a different one. I could simply use list
comprehensions, but there is an additional trick: for some elements on
this list, I would like to return two objects. For example I have a
list of 0s and 1s and for 0 I would like to add 1 'a' and for 1 I
would like to add 2 'b', like this:
[1, 0, 0, 1] -> ['b', 'b', 'a', 'a', 'b', 'b']
The easy way is to return a tuple ('b', 'b') for 1s and then flatten
them. But this doesn't seem very right - I'd prefer to create a nice
iterable right away. Is it possible to achieve this? Curiosly, the
other way round is pretty simple to achieve, because you can filter
objects using if in list comprehension.
--
Filip Gruszczyński
--
http://mail.python.org/mailman/listinfo/python-list
urllib2 urlopen takes too much time
I have encountered a performance problem using suds, which was traced down to _socket.recv. I am calling some web services and each of them uses about 0.2 sec and 99% of this time is spent on urllib2.urlopen, while the rest of the call is finished in milliseconds. Because of this, my web app works really slow, especially when it must do many ws calls. I could of course decrease the number of calls and do a lot of caching (which would be quite perilous and I wouldn't like to delve into this), but it seems as treating symptoms, rather than the illness itself. The machine I am connecting to through ws is in the same building, the connection should be really fast and mostly it is - except for using suds. Is it possible, that I could done something wrong and it hangs on this socket for too long? Have anyone encountered similar problems? Oh, and we did some profiling using also other tool written in C#, that also uses those web services and it worked much faster, so it doesn't seem to be connection problem. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
ECG segmentation
Hi! I need to create a script, that performs ECG segmentation, but I can hardly find any useful materials on the web. Did anyone try to do this and could point me to some good materials/snippets about this? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Pythonic emptiness checking
Yes, I get the difference. If x is [], than if x: won't be executed and if x is not None: will be. Thanks for clarifying. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Pythonic emptiness checking
One of the Python Zen rules is Explicit is better implicit. And yet it's ok to do: if x: do_sth when x is string or list. Since it's very comfy, I've got nothing against though. I am just curious, why is it so? And one more thing: is it ok to do if x: instead of if x is not None: Because I often encounter it and would like to know, if I can simplify it. Especially that I liked similar construction in C/C++. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Too early implementation
Yep, I have heard a lot about test driven development. I am now programming a lot using DJango and I would like to use its test framework to try it. However, I have little experience with this (as most people I know). I also have no idea, how to apply this, when I write code heavily focused on user interface. I thought, that prototyping is cool, especially with python, where you can create something functional pretty quickly. But recently I was met with a situation, when after writing 1k lines of prototype and then writing main program > 3k lines I noticed, that there is something really wrong with the design. It was then, that I started wondering: maybe I should first prepare some good design documents, I don't know some SAD or something. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Too early implementation
I am not a very disciplined person. Usually I rush to my next assignment and code furiously, hoping that my initial understanding of the stated problem will be just fine. And Python does very little to stop me ;-) If I had to do something in C++, I know I would have to write all those header files, fill stubs, etc., which is a lot of work, which I don't want to do twice. So I take a while and start to think, because it's better to be safe, than sorry. With Python you rarely are sorry, because you can do everything so quickly. And yet, at some point you see, that flaws in design get so annoying, that you need to do something about them. Usually at that point it's a bit problematic ;-) So, do you know some good methods to prevent myself from just starting coding (which I like very much) and do some thinking about the problem (which I like a little less ;-))? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Script for a project inside own directory
Works great. Thanks a lot.
2009/3/22 Maxim Khitrov :
> 2009/3/22 Filip Gruszczyński :
>> I am having a project built like this:
>>
>> project
>> module1.py
>> module2.py
>> packages1/
>> module3.py
>>
>> etc.
>>
>> I have script that uses objects from those modules/packages. If I keep
>> this script inside project directory it's ok and it works. But I would
>> like to move it to own scripts directory and from there it doesn't
>> work. I think I understand why it doesn't work (the root of local
>> packages and modules is there and it can't see what it above it), but
>> I would like to ask if there is any workaround? I would like to keep
>> all my scripts in separate dir instead of main dir. I like to keep it
>> clean.
>
> import sys
> sys.path.append('')
>
> If project directory is one level up, you can do something like this:
>
> import os
> import sys
> sys.path.append(os.path.realpath('..'))
>
> - Max
>
--
Filip Gruszczyński
--
http://mail.python.org/mailman/listinfo/python-list
Script for a project inside own directory
I am having a project built like this: project module1.py module2.py packages1/ module3.py etc. I have script that uses objects from those modules/packages. If I keep this script inside project directory it's ok and it works. But I would like to move it to own scripts directory and from there it doesn't work. I think I understand why it doesn't work (the root of local packages and modules is there and it can't see what it above it), but I would like to ask if there is any workaround? I would like to keep all my scripts in separate dir instead of main dir. I like to keep it clean. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Script in /usr/bin doesn't see my packages
I have used distutils to install a python package and a script, that runs a program. Everything seemed ok, when I run interpreter I can import stuff, that I have just installed. But when I run script that was installed into /usr/bin it can't import anything. This happens also with my test scripts: i put an import statement there and run them (they are outside of development directory) and they import stuff just the way they should. But when I put them into /usr/bin they stop. Could anyone help me on this? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Calling a class instance like a function
__call__ 2009/2/19 Uberman : > I'm wondering if there's a way to invoke a "function" operator on a Python > class instance. For example, given a class instance: > >myClass = MyClass() > > I want to call that instance like a function, with an argument value: > >myClass(5.0) > > I can override the "()" operator in C++, so I'm wondering if there's a way to > do it in Python as well. > > Thanks! > -- > http://mail.python.org/mailman/listinfo/python-list > -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Tree views - Best design practices
> Yes. There is a difference between the interface of an object (namely, > what methods and attributes it has and what their semantic meaning is) > and the class of an object (what methods and attributes it has and how > they are implemented.) > > In general, you shouldn't be asking about an object's class. Down the > road, you may want to use an object that isn't of the same class but > does support the interface. > > Consider how the file object is used in Python. Pretty much every > place you can use a file object you can use a StringIO, right? That's > because StringIO supports the file interface while it isn't a file. > > You may want to read up on 'duck typing' to get a better sense of why > this is important. I have read also your next message and these are good arguments for dynamically typed languages and really convinces me - I mean that they provide some flexibility at the cost of writing a little more. They provide flexibility though in a different field. Duck typing is great, because it allows completely use of a completely different hierarchy, which only has to have the same interface. But I am looking for a different type of flexibility. I would like to be able to add more classes to my hierarchy and not have to change my code in many places when I add new class to the hierarchy. If I have to change every class in the hierarchy because I add new class, then it's not something I would like to do. And idea how I can avoid this? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Tree views - Best design practices
>class Element(object): >@staticmethod >def is_leaf(): return True >@staticmethod >def is_branch(): return False > >class Group(object): >@staticmethod >def is_leaf(): return False >@staticmethod >def is_branch(): return True > > Of course, you have to give priority to one or the other, in case an > object thinks it is both. > >if thing.is_branch(): ># Treat it like a branch >elif thing.is_leaf(): ># Treat it like a leaf > > I believe this is a simpler method than checking a single attribute > for a name. Is it really any better than asking for class? I mean, if I need to add another class to a hierarchy which behaves differently, will it be more flexible (actually you have to add another method to every class and check for in the gui). I believe it's just the same as asking for the class, but we hide it under static methods. It's no different though. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Tree views - Best design practices
I'd love to have operations methods, which would return names of operations and references to proper methods. The problem is that certain operations require more, than just running some operation on the Group or Element. Let's say, you want to add new group to an existing one - you can't do that to an element. But adding a group cannot be just done by calling group.addGroup. You must first construct the group or at least get information require to construct a group, so you must for example call a dialog which will ask for information about the group. And that's in conflict with model/view pattern. And that's not all. I am using qt and when I want to add this group to another one, I have to first call beginInsertRows on the model used by the tree view (it's a layer between the gui and the real model). I tried building a wrapper around my model which would provide additional info, but then I had to keep relations between objects in two places (relations between real groups and elements and wrapper groups and wrapper elements), which wasn't the right way to do. I just can figure a simple, elegant way to do this. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Tree views - Best design practices
>>>> class Element(object): >operations = "Element operations" > > >>>> class Group(object): >operations = "Group operations" > > >>>> e = Element() >>>> g = Group() >>>> >>>> e.operations > 'Element operations' >>>> g.operations > 'Group operations' But this is the same as asking for a class, except for having to write a method giving some form of a class name and then basing on this classname display operations. I know this solution, but this is what I would like to evade. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Tree views - Best design practices
Hi! I have certain design problem, which I cannot solve elegantly. Maybe you know some good design patterns for this kind of tasks. Task: We have a model which has two kinds of objects: groups and elements. Groups can hold other groups (subgroups) and elements. It's a simple directory tree, for example. We would like to display it in a tree view (which sound good for this kind of model). What is more required, for groups and elements there are different sets of operations, which should be available under right click. For example for group, there should be operations: 'add element' and 'add group', and for element there should be 'change properties'. Do you know any smart way to achieve this? The simplest way is to ask for the class and display operations accordingly. But from the first day with OO programming I have heard, that asking for class is wrong. But I can hardly see any easy and more maintainable solution for this problem. Could you help me with this? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: deleting a method
> To answer the second question: since 'foo' is an attribute of the > class 'A', you can delete the attribute from the class. > >>>> class A(object): >... def foo(self): >... pass >... >>>> a = A() >>>> 'foo' in dir(a) >True >>>> del A.foo >>>> 'foo' in dir(a) >False Thanks, now I see, what happens, but don't exactly know why. Could you point me to some good explanation how object creation is performed in Python? I browsed language reference and google, but couldn't find good explanation. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
deleting a method
I am trying to delete a method from a class. It's easy to delete other attributes, but when I try: >>> class A: ... def foo(): ... pass ... >>> a = A() >>> del a.foo I get Traceback (most recent call last): File "", line 1, in AttributeError: A instance has no attribute 'foo' Why is it so and how may still delete it? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Removing None objects from a sequence
Just to be clear, I decided to use generator by alex23, as it seems simple, short and understandable. Still reading this thread was quite interesting, thanks :-) -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Removing None objects from a sequence
I am not doing it, because I need it. I can as well use "if not elem is None", but I just wanted to know, if there is some better way of doing this. I like to know :-) And I can't understand why you are becoming so aggressive because of this. Just because I asked for that, doesn't mean, that I will put some obfuscated code into my project. I just wanted to learn something new - I checked itertools, I googled a bit, now I wanted to ask here if someone knew some really cool way of this. All the other assumptions weren't really necessary. Thanks for those ideas, however. I like the last one a lot :) -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Removing None objects from a sequence
I don't mean memory, but space in code ;-) I'll try this generator :) -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Removing None objects from a sequence
Hi! I would like to iterate over a sequence nad ignore all None objects. The most obvious way is explicitly checking if element is not None, but it takes too much space. And I would like to get something faster. I can use [ sth for sth in self.__sth if not sth is None ], but I don't know if that's the best way. I checked itertools, but the only thing that seemed ok, was ifilter - this requires seperate function though, so doesn't seem too short. How can I get it the shortest and fastest way? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Do more imported objects affect performance
I see. Thanks for a really good explanation, I like to know, how to do things in the proper way :) 2008/12/1 Nick Craig-Wood <[EMAIL PROTECTED]>: > Rafe <[EMAIL PROTECTED]> wrote: >> On Dec 1, 7:26?am, "Filip Gruszczy?ski" <[EMAIL PROTECTED]> wrote: >> > I have following question: if I use >> > >> > from module import * >> > >> > instead >> > >> > from module import Class >> > >> > am I affecting performance of my program? I believe, that all those >> > names must be stored somewhere, when they are imported and then >> > browsed when one of them is called. So am I putting a lot of "garbage" >> > to this storage and make those searches longer? >> >> Why use it if you don't need it? Your post implies a choice and the >> '*' import can really make things muddy if it isn't actually necessary >> (rare). Why not just import the module and use what you need? It is >> way easier to read/debug and maintains the name-space. > > Importing the module is actualy slower... If you import the name into > your namespace then there is only one lookup to do. If you import the > module there are two. > > $ python -m timeit -s 'from timeit import Timer' 'Timer' > 1000 loops, best of 3: 0.0784 usec per loop > > $ python -m timeit -s 'import timeit' 'timeit.Timer' > 100 loops, best of 3: 0.243 usec per loop > > I'm not suggestion you should ever use "from module import *" only > ever import the things you actually need, eg > "from module import MyClass, my_function" > > And here is the test again, actually calling something with the same > difference in execution speed :- > > $ python -m timeit -s 'from os import nice' 'nice(0)' > 100 loops, best of 3: 1.21 usec per loop > > $ python -m timeit -s 'import os' 'os.nice(0)' > 100 loops, best of 3: 1.48 usec per loop > > -- > Nick Craig-Wood <[EMAIL PROTECTED]> -- http://www.craig-wood.com/nick > -- > http://mail.python.org/mailman/listinfo/python-list > -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: pydoc enforcement.
Hey! If you are interested, I have written a small tool for declaring variables and attributes. It's not very sophisticated, because I have written it solely for own use. It might be useful though. You can download it from you: http://code.google.com/p/pyver/downloads/list For a small example, it works like this: def foo(): a = 5 class Bar: def __init__(self): self.a = 5 Errors: Line 2: Variable a in function foo was not specified; Line 7: Field a in function __init__ was not specified; To have it working fine, you have to declare fields and variables like this: def foo(): #| a | a = 5 class Bar: #| a | def __init__(self): self.a = 5 But as soon as I finished I realized, I don't really need this since there are pychecker and pylint that do all what I need and I don't have to type all those declarations. But I have learned how to parse python code using tools from stdlib, so it wasn't really wasted time. Hope this helps :-) If you want to know something more about this, don't hesitate to ask. 2008/12/1 [EMAIL PROTECTED] <[EMAIL PROTECTED]>: > I've been thinking about implementing (although no idea yet *HOW*) the > following features/extension for the python compile stage and would be > interested in any thoughts/comments/flames etc. > > Basically I'm interested adding a check to see if: > 1) pydoc's are written for every function/method. > 2) There are entries for each parameter, defined by some > predetermined syntax. > > My idea is that as much as I love dynamic typing, there are times when > using some modules/API's that have less than stellar documentation. I > was thinking that if it was possible to enable some switch that > basically forced compilation to fail if certain documentation criteria > weren't met. > > Yes, it should be up to developers to provide documentation in the > first place. Or, the client developer might need to read the source > (IF its available)... but having some "forced" documentation might at > least ease the problem a little. > > For example (half borrowing from Javadoc). > > class Foo( object ): > > def bar( self, ui ): > pass > > > Would fail, since the bar method has an "unknown" parameter called > "ui". > What I think could be interesting is that the compiler forces some > documentation such as: > > class Foo( object ): > > def bar( self, ui ): >""" >@Param: ui : blah blah blah. >""" > pass > > > The compiler could check for @Param matching each parameter passed to > the method/function. Sure, a lot of people might just not put a > description in, so we'd be no better off. But at least its getting > them *that* far, maybe it would encourage them to actually fill in > details. > > Now ofcourse, in statically typed language, they might have the > description as "Instance of UIClass" or something like that. For > Python, maybe just a description of "Instance of abstract class UI" or > "List of Dictionaries"... or whatever. Sure, precise class names > mightn't be mentioned (since we mightn't know what is being used > then), but having *some* description would certainly be helpful (I > feel). > > Even if no-one else is interested in this feature, I think it could > help my own development (and would be an interested "first change" > into Python itself). > > Apart from bagging the idea, does anyone have a suggestion on where in > the Python source I would start for implementing such an idea? > > Thanks > > Ken > > -- > http://mail.python.org/mailman/listinfo/python-list > -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Do more imported objects affect performance
I have following question: if I use from module import * instead from module import Class am I affecting performance of my program? I believe, that all those names must be stored somewhere, when they are imported and then browsed when one of them is called. So am I putting a lot of "garbage" to this storage and make those searches longer? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Project structure - Best practices
> http://jcalderone.livejournal.com/39794.html That's exactly what I have read before posting here ;-) -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Project structure - Best practices
This is first time that I am building python application that is larger than a single module and I would like to do it right. I google it a bit, finding some stuff about not using src directory (which I have seen so many times, that I believed it be standard) and using packages. Still, there are few things, that I would like to achieve with this structure: * being able to use pychecker a lot - catching all typos in one shot instead of running app many times really saves me a lot of time * being able to write some unit tests * having clean division of code among packages and modules (I have seen some projects, where modules are pretty large - I would like to keep them logically divided, event if they stay smaller) My project is a tool for people interested in role playing games. My current structure looks something like this: /src rpgDirectory.py (main script, running the app) src/rpg plans.py support.py gui.py iosystem.py src/rpg/character model.py sheet.py gui.py handlers.py requirements.py The problem is, that modules from src/rpg/character use classes defined in support.py. Therefore I have to use absolute paths to import it and this works only, when I run rpgDirectory.py. When I use pychecker, it can't import this module and fails. Any suggestions, how can I avoid this and what structure should I use? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Two instances share an attribute
Every day something new. Thanks a lot :) 2008/11/15 Cameron Simpson <[EMAIL PROTECTED]>: > On 15Nov2008 22:41, Filip Gruszczyński <[EMAIL PROTECTED]> wrote: > | I really don't understand, what's happening with the following code. > | Am I doing something wrong? > > Yes. This is a common mistake: > > | class EnumeratedContent: > | def __init__(self, values = []): > | self.values_ = values > > The "values = []" happens at class definition time, not instance > definition time. So when "values" is not supplied, the same list > is reused as the default value. > > The usual idiom is this: > > class EnumeratedContent: > def __init__(self, values = None): > if values is None: > values = [] > self.values_ = values > > which makes a new [] during the instance creation. > > Cheers, > -- > Cameron Simpson <[EMAIL PROTECTED]> DoD#743 > http://www.cskk.ezoshosting.com/cs/ > > If you don't live on the edge, you're taking up too much space. - t-shirt > -- > http://mail.python.org/mailman/listinfo/python-list > -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Two instances share an attribute
I really don't understand, what's happening with the following code.
Am I doing something wrong?
#!/usr/bin/python
class EnumeratedContent:
def __init__(self, values = []):
self.values_ = values
def values(self):
return self.values_
def addValue(self, value):
self.values_.append(value)
x = EnumeratedContent()
x.addValue('ff')
print x.values()
x = EnumeratedContent()
x.addValue('gg')
print x.values()
This code prints:
['ff']
['ff', 'gg']
Why the heck self.__values keeps old list? Can anyone explain it to me?
I am using:
Python 2.5.2 (r252:60911, Sep 14 2008, 23:49:00)
[GCC 4.1.2 (Gentoo 4.1.2 p1.0.2)] on linux2
--
Filip Gruszczyński
--
http://mail.python.org/mailman/listinfo/python-list
XML validation in stdlib?
Hi! I took a look at the standard library and tried to find some validation against schema tools, but found none. I googled, but found only links to external libraries, that can do some validation. Does it mean, that there is no validation in stdlib or have I just missed something? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Ideas for master's thesis
Hello there, I am student of CS at the University of Warsaw, currently 4th year. I am attending Object Oriented Programming seminar and it is about time, I started looking for an idea of my master's degree project. As I like Python very much, I would like to do something with this language, yet I don't know if there are any needs/science fields, that could be used as a basis for a thesis. Therefore I would like to ask, if there is any way to access any person involved in development, who would help me find some field that need to be developed/researched (rather the first one) and would be close enough to the OOP, so I could present it to a mentor (he is cool with doing something for OSS community). -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Explicit variable declaration
> In Python the standard patten for "declaring" variables is just to assign to
> them as they are needed. If you want the effect of a declaration as you
> would do in C, you can just define the variable and initialize it to 0 or
> None. (Or {} for a new dictionary, or [] for a new list.)
Yep, I get it and I absolutely love this about Python. What I don't
actually love is situation, where I misspell and instead of setting
one variable, other is created. This is why I would like to declare
variables first and say, that these are the only ones, that can be set
in certain function (the same with fields in a class).
I am finishing a small tool, that allows to create such declarations
in similar manner to Smalltalk declarations. I hope I can post a link
to it soon.
--
Filip Gruszczyński
--
http://mail.python.org/mailman/listinfo/python-list
Re: Explicit variable declaration
> If you want to just declare that name exist, but doesn't want to > declare the type, why don't you just do this: > > def somefunc(): > nonlocal = nonlocal > local = 0 # or None or [] or an initial value > # > return nonlocal * local Err.. I don't quite get. How it may help me? Could you explain? -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Re: Explicit variable declaration
Wow! This is extremely easy and seems to do exactly what I need. Those
decorators are pretty powerful then. Thanks for your help, I'll try to
use this.
> def uses(names):
> def decorator(f):
> used = set(f.func_code.co_varnames)
> declared = set(names.split())
> undeclared = used-declared
> unused = declared-used
> if undeclared:
> raise ValueError("%s: %s assigned but not declared"
>% (f.func_name, ','.join(undeclared)))
> if unused:
> raise ValueError("%s: %s declared but never used"
>% (f.func_name, ','.join(unused)))
> return f
> return decorator
>
> Used something like this:
>
> >>> @uses("x y")
> def f(x):
> y = x+1
> return z
>
> >>> @uses("x y z")
> def f(x):
> y = x+1
> return z
>
>
> Traceback (most recent call last):
> File "", line 1, in
> @uses("x y z")
> File "", line 10, in decorator
> raise ValueError("%s: %s declared but never used" % (f.func_name,
> ','.join(unused)))
> ValueError: f: z declared but never used
> >>> @uses("x")
> def f(x):
> y = x+1
> return z
>
>
> Traceback (most recent call last):
> File "", line 1, in
> @uses("x")
> File "", line 8, in decorator
> raise ValueError("%s: %s assigned but not declared" % (f.func_name,
> ','.join(undeclared)))
> ValueError: f: y assigned but not declared
>
>
> >>>
>
> --
> http://mail.python.org/mailman/listinfo/python-list
>
--
Filip Gruszczyński
--
http://mail.python.org/mailman/listinfo/python-list
Re: Explicit variable declaration
> You mean the type? Not in 2.x, but in 3.x, there are function > annotations: > > def a_function(arg1: int, arg2: str) -> None: pass Nope, I don't like types ;-) 3.x seems pretty revolutionary, and this typing can be appreciated by some people. > Declaring what about them? If you mean declaring the type, remember > that Python deliberately allows any name to be bound to any object; > type declarations can't be enforced without losing a lot of the power > of Python. Just declaring, that they exist. Saying, that in certain function there would appear only specified variables. Like in smalltalk, if I remember correctly. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
Explicit variable declaration
Hello everyone! It is my first message on this list, therefore I would like to say hello to everyone. I am fourth year student of CS on the Univeristy of Warsaw and recently I have become very interested in dynamically typed languages, especially Python. I would like to ask, whether there is any way of explicitly declaring variables used in a function? While I am pretty sure, that there is no such way in the language itself, I would like to know, whether there are any third-party tools to do that. This would be very useful for me during development, so I am looking for such a tool. -- Filip Gruszczyński -- http://mail.python.org/mailman/listinfo/python-list
