PY3.5 and nnumpy and scipy installation problem
I'll heartily recommend anaconda python. It's got everything you need prepackaged. Remove what you installed before. Cheers Pauk -- https://mail.python.org/mailman/listinfo/python-list
PY3.5 and nnumpy and scipy installation problem
Easiest way of installing is removing the python you've installed already and installing continuum's anaconda python 3.x (for x = 4 or 5). It has "batteries included" - numpy, scipy and many others! Paul -- https://mail.python.org/mailman/listinfo/python-list
Re: for loop
On Sunday, September 20, 2015 at 9:56:06 AM UTC+2, shiva upreti wrote: > https://ideone.com/BPflPk > > Please tell me why 'print s' statement is being executed inside loop, though > I put it outside. > Please help. I am new to python. Hi! Welcome to python, the most awesome programming language! The code you pasted used both spaces and tabs for indentation. The thing is that python, by default, interprets one tab character as 8 spaces, but the editor you've used shows it as 4 spaces. To avoid these kinds of headaches, I always 1) set my editor to show tabs, so I can detect them, and 2) never use tabs when I write code myself. I set my editor to insert 4 spaces whenever I hit the "tab" key on my keyboard. If you post the name of your editor, maybe someone knows how to do that in yours. You can also detect mixed space/tab issues by running "python -t" instead of just "python". So, your "print s" is in fact inside the loop, since the for loop is indented with 4 spaces, and "print s" is indented with 1 tab = 8 spaces. It just doesn't look like that to you. It looks like you're coding in python 2. If you're new to python, I'd recommend using a python 3 version, maybe 3.4 or 3.5. You can easily pick up python 2 later if you need to maintain old code. Of course, it's not a big deal learning python 3 if you know python 2 either, but why spend energy on it? Cheers Paul -- https://mail.python.org/mailman/listinfo/python-list
Ordering dependent test failures
Hi!
Fascinated by the concept of ordering dependent test failures [0], I've run the
python test suite [1] with 256 different random seeds (took a little more than
12 hours). The results vary a lot - for instance, the number of tests reported
as OK varies, the number of skips varies, etc. Since I'm not sure how to report
or interpret them, I'll just post a summary below.
The test suite was run on arch linux [2] with gcc 5.2.0, with the source code
taken from a clone of the python repo yesterday [3].
What could I do with all this in order to make more sense of it, and could it
be of any help what so ever to python development? I'll gladly make the full
log files available to whomever is interested, in whatever format is
convenient. In the meantime I'll run more random seeds, because why not.
[0] https://docs.python.org/devguide/buildbots.html#ordering-dependent-failures
[1] ./python -Wd -E -bb -m test -uall -rwW --randseed $k > testlog/${k}.log 2>&1
[2] https://www.archlinux.org/
[3] Python 3.6.0a0 (default:3704cea9fd8e, Sep 19 2015, 16:12:53)
The command "grep OK *.log", where e.g. 5.log is the output of command [1] with
"--randseed 5":
0.log:380 tests OK.
0.log:OK (skipped=15)
0.log:OK (skipped=15)
0.log:OK (skipped=15)
0.log:OK (skipped=2)
1.log:383 tests OK.
1.log:OK (skipped=2)
2.log:380 tests OK.
2.log:OK (skipped=15)
2.log:OK (skipped=15)
2.log:OK (skipped=15)
2.log:OK (skipped=2)
3.log:380 tests OK.
3.log:OK (skipped=15)
3.log:OK (skipped=15)
3.log:OK (skipped=2)
3.log:OK (skipped=37)
4.log:381 tests OK.
4.log:OK (skipped=15)
4.log:OK (skipped=15)
4.log:OK (skipped=2)
5.log:380 tests OK.
5.log:OK (skipped=15)
5.log:OK (skipped=15)
5.log:OK (skipped=15)
5.log:OK (skipped=2)
6.log:381 tests OK.
6.log:OK (skipped=15)
6.log:OK (skipped=15)
6.log:OK (skipped=2)
7.log:380 tests OK.
7.log:OK (skipped=15)
7.log:OK (skipped=15)
7.log:OK (skipped=15)
7.log:OK (skipped=2)
8.log:381 tests OK.
8.log:OK (skipped=15)
8.log:OK (skipped=15)
8.log:OK (skipped=2)
9.log:382 tests OK.
9.log:OK (skipped=15)
9.log:OK (skipped=2)
10.log:381 tests OK.
10.log:OK (skipped=15)
10.log:OK (skipped=15)
10.log:OK (skipped=2)
11.log:380 tests OK.
11.log:OK (skipped=15)
11.log:OK (skipped=15)
11.log:OK (skipped=2)
11.log:OK (skipped=37)
12.log:380 tests OK.
12.log:OK (skipped=15)
12.log:OK (skipped=15)
12.log:OK (skipped=15)
12.log:OK (skipped=2)
13.log:383 tests OK.
13.log:OK (skipped=2)
14.log:381 tests OK.
14.log:OK (skipped=15)
14.log:OK (skipped=2)
14.log:OK (skipped=39)
15.log:383 tests OK.
15.log:OK (skipped=2)
16.log:381 tests OK.
16.log:OK (skipped=15)
16.log:OK (skipped=15)
16.log:OK (skipped=2)
17.log:381 tests OK.
17.log:OK (skipped=15)
17.log:OK (skipped=15)
17.log:OK (skipped=2)
18.log:381 tests OK.
18.log:OK (skipped=15)
18.log:OK (skipped=15)
18.log:OK (skipped=2)
19.log:381 tests OK.
19.log:OK (skipped=15)
19.log:OK (skipped=15)
19.log:OK (skipped=2)
20.log:381 tests OK.
20.log:OK (skipped=15)
20.log:OK (skipped=15)
20.log:OK (skipped=2)
21.log:382 tests OK.
21.log:OK (skipped=15)
21.log:OK (skipped=2)
22.log:383 tests OK.
22.log:OK (skipped=2)
23.log:383 tests OK.
23.log:OK (skipped=2)
24.log:382 tests OK.
24.log:OK (skipped=15)
24.log:OK (skipped=2)
25.log:381 tests OK.
25.log:OK (skipped=15)
25.log:OK (skipped=15)
25.log:OK (skipped=2)
26.log:380 tests OK.
26.log:OK (skipped=15)
26.log:OK (skipped=15)
26.log:OK (skipped=15)
26.log:OK (skipped=2)
27.log:382 tests OK.
27.log:OK (skipped=15)
27.log:OK (skipped=2)
28.log:381 tests OK.
28.log:OK (skipped=15)
28.log:OK (skipped=15)
28.log:OK (skipped=2)
29.log:383 tests OK.
29.log:OK (skipped=2)
30.log:380 tests OK.
30.log:OK (skipped=15)
30.log:OK (skipped=15)
30.log:OK (skipped=15)
30.log:OK (skipped=2)
31.log:382 tests OK.
31.log:OK (skipped=15)
31.log:OK (skipped=2)
32.log:382 tests OK.
32.log:OK (skipped=15)
32.log:OK (skipped=2)
33.log:383 tests OK.
33.log:OK (skipped=2)
34.log:383 tests OK.
34.log:OK (skipped=2)
35.log:380 tests OK.
35.log:OK (skipped=15)
35.log:OK (skipped=15)
35.log:OK (skipped=15)
35.log:OK (skipped=2)
36.log:382 tests OK.
36.log:OK (skipped=15)
36.log:OK (skipped=2)
37.log:382 tests OK.
37.log:OK (skipped=15)
37.log:OK (skipped=2)
38.log:380 tests OK.
38.log:OK (skipped=15)
38.log:OK (skipped=15)
38.log:OK (skipped=15)
38.log:OK (skipped=2)
39.log:380 tests OK.
39.log:OK (skipped=15)
39.log:OK (skipped=15)
39.log:OK (skipped=15)
39.log:OK (skipped=2)
40.log:381 tests OK.
40.log:OK (skipped=15)
40.log:OK (skipped=15)
40.log:OK (skipped=2)
41.log:383 tests OK.
41.log:OK (skipped=2)
42.log:380 tests OK.
42.log:OK (skipped=15)
42.log:OK (skipped=15)
42.log:OK (skipped=15)
42.log:OK (skipped=2)
43.log:380 tests OK.
43.log:OK (skipped=15)
43.log:OK (skipped=15)
43.log:OK (skipped=15)
43.log:OK (skipped=2)
44.log:383 tests OK.
44.log:OK (skipped=2)
45.log:383 tests OK.
45.log:OK (skipped=2)
46.log:380 tests OK.
46.log:OK (skipped=15)
46.log:OK (skipped=15)
46.log:OK (skipped=15)
46.log:OK (skipped=2)
47.log:383 tests OK.
47.log:OK (ski
Re: Uninstall
Right. Try "which python" in the terminal and report back! Cheers Paul -- https://mail.python.org/mailman/listinfo/python-list
Re: Best approach to create humongous amount of files
There's a module called "template" that I've used before, for the find/replace part. I never investigated its performance, but my script used less than 1 s for 100 files IIRC :-) Paul -- https://mail.python.org/mailman/listinfo/python-list
Re: Why this difference?
Den 24.02.11 13.41, skrev n00m: The 1st "False" is not surprising for me. It's the 2nd "True" is a bit hmmm... ok, it doesn't matter == Have a nice day! I am no expert, but I think python re-uses some integer and string objects. For instance, if you create the object int(2) it may be re-used later if you have several 2 objects in your code. This is to save some memory, or some other performance hack. Don't rely on it. For instance: >>> a = 100 >>> b = 100 >>> a is b True >>> a = 2**60 >>> b = 2**60 >>> a is b False Strange, but it's just like this! Paul -- http://mail.python.org/mailman/listinfo/python-list
Re: Making Line Graphs
Den 21.02.11 10.34, skrev Jean-Michel Pichavant: spam head wrote: I'm looking for an easy way to display simple line graphs generated by a python program in Windows. It could be done from within the program, or I could write the information out to a file and call an external program. Either is fine. Does anybody have any recommendations for a good program from generating these simple graphs? http://matplotlib.sourceforge.net/ JM +1, I like matplotlib a lot. Consider python(x,y) as an easy install path. It both shows plots interactively and let you save to file. I even use it for publications. Paul. -- http://mail.python.org/mailman/listinfo/python-list
Re: python and parsing an xml file
Den 22.02.11 13.29, skrev pyt...@bdurham.com: Paul, How about skipping the whole xml thing? You can dynamically import any python module, even if it does not have a python filename. Great example! Can you do the same with a cStringIO based file that exists in memory vs. on disk? Your example requires a physical file on disk. Is it possible to accomplish the same using a string vs. a file or temporary file? Thank you, Malcolm (not the OP) Malcolm, I never had the interest, so I did not try. Why don't you just try it? Just insert your StringIO file into the function and see if it works, or if it crashes and burns. Let me know what you find out! Anyway, you could always just write a temporary file. It won't consume a lot of resources, I imagine. Cheers, Paul -- http://mail.python.org/mailman/listinfo/python-list
Re: python and parsing an xml file
Den 21.02.11 18.30, skrev Matt Funk:
Hi,
I was wondering if someone had some advice:
I want to create a set of xml input files to my code that look as follows:
Alg1
./Alg1.in
c:\tmp
1
So there are comments, whitespace etc ... in it.
I would like to be able to put everything into some sort of structure
such that i can access it as:
structure['Algorithm']['Type'] == Alg1
I was wondering if there is something out there that does this.
I found and tried a few things:
1) http://code.activestate.com/recipes/534109-xml-to-python-data-structure/
It simply doesn't work. I get the following error:
raise exception
xml.sax._exceptions.SAXParseException::1:2: not well-formed
(invalid token)
But i removed everything from the file except:
and i still got the error.
Anyway, i looked at ElementTree, but that error out with:
xml.parsers.expat.ExpatError: junk after document element: line 19, column 0
Anyway, if anyone can give me advice of point me somewhere i'd greatly
appreciate it.
thanks
matt
How about skipping the whole xml thing? You can dynamically import any
python module, even if it does not have a python filename. I show an
example from my own code, slightly modified. I just hand the function a
filename, and it tries to import the file. If the input file now
contains variables like
algorithm = 'fast'
I can access the variables with
input = getinput('f.txt')
print input.algorithm.
Good luck,
Paul
+
import imp
def getinput(inputfilename):
"""Parse inputs to program from the given file."""
try:
# http://docs.python.org/library/imp.html#imp.load_source
parameters = imp.load_source("parameters", inputfilename)
except IOError as err:
print >>sys.stderr, '%s: %s' % (str(err), inputfilename)
print >>sys.stderr, 'The specified input file was not found -
exiting'
sys.exit(IO_ERROR)
# Verify presence of all required input parameters, see input.py
example file.
required_parameter_names = ['setting1', 'setting2', 'setting3']
msg = 'Required parameter name not found in input file: {0}'
for parameter_name in required_parameter_names:
assert hasattr(parameters, parameter_name),
msg.format(parameter_name)
return parameters
--
http://mail.python.org/mailman/listinfo/python-list
Re: how to get and search a html file from a website
Den 01.02.11 22.20, skrev Tracubik:
Hi all!
i'm writing a notification program and i'm quite new to python.
The program have to check every 5 minutes a particular website and alert
me when a particular sentence ("user online") is in the html.
i've thinked to use a text browser (lynx) to retrieve the html and parse
the output in python as a normal text file.
Do you have any better idea?
thanks
Medeo
Of course there is a pythonic way :-)
>>> import urllib
>>> urllib.urlretrieve('http://docs.python.org/tutorial/index.html',
'tut.html')
Good luck,
Paul.
--
http://mail.python.org/mailman/listinfo/python-list
Re: Java or C++?
Well, if you're new - first find the function, then how to use it, this funny %d5 (or something, don't remember) syntax - it's hard compared to: cout << 5 or similar stream tricks, or just 5 + "" in Java, or just str(5) in Python. Anyway, small tasks are very hard for C newbies. Den 15. april. 2008 kl. 19.35 skrev [EMAIL PROTECTED]: > On Apr 15, 3:07 am, Paul Anton Letnes <[EMAIL PROTECTED]> > wrote: > > >> but C bogs you down with administrative stuff (try converting an int >> to a string; I found myself googling for an hour!). > > It took an hour to find sprintf()? > -- > http://mail.python.org/mailman/listinfo/python-list -- http://mail.python.org/mailman/listinfo/python-list
Re: How to import C++ static library?
Den 15. april. 2008 kl. 11.11 skrev Diez B. Roggisch: > Alexander Dong Back Kim wrote: > >> Hi all, >> >> I'm very very beginner of python but I'm dare to ask this question >> straight away. =P >> >> Is it possible to import C++ static library compiled by GCC? The >> target is definitely Linux machine. >> >> I found some examples from Google showing the way C++ can import >> Python so called embedded python. But I want to the opposite way of >> this. I want to import (or include in C world terminology) the >> library >> which is a blah.a file to reuse in python. >> >> Any suggestion or idea for this stupid beginner? ;) > > For C++, you need to create a wrapping using C++ wrapper tools. > There are a > few available: SWIG, Boost::Python and SIP. > > I can only comment personally on the latter - and can recommend it > without > any doubt. > > Diez > -- > http://mail.python.org/mailman/listinfo/python-list Diez: I tried SWIG, and it works nicely with C. For C++, I didn't manage to make it work. I tried SIP; I have some problems compiling etc. Would it be too much to ask you to supply a working example of a (simple, stupid) C++ class and the necessary SIP files? Preferably for Mac OS X, but Linux is also interesting I guess. Cheers Paul. -- http://mail.python.org/mailman/listinfo/python-list
Re: Java or C++?
Brian: Impressive!
This is the most balanced, well-informed and interesting reply to this
debate. I would like to make some comments even so.
I have tried all languages, and consider myself agnostic. However, I
would like to roughly repeat what James Gosling (Java inventor) said
at a lecture I attended: Java is nice because you can work in Java
everywhere now - from embedded to desktops to supercomputers and
servers. And, I would like to make my own comment: Java is the
language I have tried which gives you the most help as a developer.
For every crash, there is a complete and useful stack trace. Using
Eclipse, you can auto-generate much of the 'boilerplate' code which is
claimed to make Java boring to write (get, set, constructors...). It
also more or less tells you how to fix small bugs - ';' and } missing
for example. Even python is less helpful; concider "Unexpected indent"
or the very informative "incorrect syntax" when you forget a ) or a : .
C (or C++) for learning to talk to the metal,
Java or Python for object orientation,
Java will give you the most help,
Python gets you started quickly,
C++ is the hardest to understand in every detail,
but C bogs you down with administrative stuff (try converting an int
to a string; I found myself googling for an hour!).
I tried this infamous "extending in C" and I would forget that until
you know both C and python a bit more... Also, extending python in C++
or Java is possible - I didn't manage C++ yet, and Java I didn't try.
Cheers!
Paul.
Den 15. april. 2008 kl. 05.46 skrev Brian Vanderburg II:
>> My idea, if you really love Python and never think about erasing it
>> from your mind, go for C (not C++). A script language plus C can
>> solve
>> every problem you need to solve. Also Python works pretty fine with
>> C.
> I agree mostly with this one. Scripting is very nice when writing an
> application especially one that needs to change very often. Plus
> there
> are several toolkits and existing libraries available for Python.
> I've
> used wxPython some with it, and it came in handy for a few
> applications
> that I would have normally written in C++/wxWidgets and have to
> recompile every few weeks to suit my needs (data extraction tools/etc)
>
> However there are cases when a compiled language is better, especially
> anything that needs to be 'fast' and have a lower overhead. I
> wouldn't
> use Python to create a very graphics intensive game or anything,
> though
> it can be used with pygame/PyOpenGL for some nice simple stuff. Also
> everything in Python is an object so it can start to consume memory
> when
> handling very large data sets. And since there is no guarantee of
> when
> garbage collection occurs, simply 'deleting' an item does not ensure
> it
> is completely gone, especially if there are cyclic references, though
> that can be handled by using 'gc.collect()'.
>
>
>
> I consider C++ just a simplification of C, in the sense that it
> makes it
> easier to do things that would take more work to be done in C. One
> can
> still use C++ without all of the more complicated aspects but still
> take
> advantages of other aspects.
>
> C has the advantage that it does not to anything behind your back.
> This
> is very useful especially for any form of system development or where
> you must know exactly what is going on. It is still possible to do
> 'object oriented' development in C, it just requires some more
> typing to
> set up whatever is needed. Even things like COM for windows can be
> done
> in C, it just requires manually building the 'vtable' so to speak.
> Also, C seems to avoid the use of temporaries where as C++ can use
> them
> in conversions and assignments automatically if needed.
>
> C++ makes some of it easier by doing certain things for you. Take a
> string object for example. In C, assignment would only do a memory
> copy
> operation:
>
> String a, b;
> b = a;
>
> The statement 'b = a' would only copy the memory and pointers from 'b'
> to 'a' which means they would both point to the same buffer. To avoid
> this, a copy constructor or assignment operator can be implemented
> when
> using C++. The same in C would be something like:
>
> String_Assign(&b, &a); /* instead of b = a */
>
> Then if a structure contains objects, more work is needed. For
> example,
> in C:
>
> typedef struct Name
> {
>String honorary;
>String first;
>String middle;
>String last;
>String lineage;
> } Name;
>
> void Name_Create(Name* name)
> {
>String_Create(&name->honorary);
>String_Create(&name->first);
>String_Create(&name->middle);
>String_Create(&name->last);
>String_Create(&name->lineage);
> }
>
> void Name_Assign(Name* self, Name* other)
> {
>String_Assign(&self->honorary, &other->honorary);
>String_Assign(&self->first, &other->first);
>String_Assign(&self->middle, &other->middle);
>String_Assign(&self->last, &ot
Re: Process multiple files
Funny,
I'm just doing exactly this:
import os
def main():
dataFolder = 'data/'
fileList = os.listdir(dataFolder)
for file in fileList:
inFile = open(dataFolder + file, 'r')
print 'read inFile & do something useful here'
Clear as an... egg?
Cheers.
Paul.
Den 14. april. 2008 kl. 14.36 skrev Doran, Harold:
> Say I have multiple text files in a single directory, for illustration
> they are called "spam.txt" and "eggs.txt". All of these text files are
> organized in exactly the same way. I have written a program that
> parses
> each file one at a time. In other words, I need to run my program each
> time I want to process one of these files.
>
> However, because I have hundreds of these files I would like to be
> able
> to process them all in one fell swoop. The current program is
> something
> like this:
>
> sample.py
> new_file = open('filename.txt', 'w')
> params = open('eggs.txt', 'r')
> do all the python stuff here
> new_file.close()
>
> If these files followed a naming convention such as 1.txt and 2.txt I
> can easily see how these could be parsed consecutively in a loop.
> However, they are not and so is it possible to modify this code such
> that I can tell python to parse all .txt files in a certain directory
> and then to save them as separate files? For instance, using the
> example
> above, python would parse both spam.txt and eggs.txt and then save 2
> different files, say as spam_parsed.txt and eggs_parsed.txt.
>
> Thanks
>
>
>
>
>
>
> --
> http://mail.python.org/mailman/listinfo/python-list
--
http://mail.python.org/mailman/listinfo/python-list
Wrapping C++ class with SWIG, Mac OS X
>
> Thanks a lot for the comments. So, I post the code, which should let
> you recreate the circumstances. I'm on 10.5.2, python2.5 (from
> Fink), and got SIP from FINK recently - should be the latest version.
>
> I know C++ to some extent - the linking is the hardest part for me
> to grasp. I don't have a clear idea on how these things take place,
> nor what all the words mean.
>
>
> word.h:
>
> // Define the interface to the word library.
>
> #ifndef _WORD_H_
> #define _WORD_H_
> class Word {
> public:
>Word(const char *w);
>char *reverse() const;
>
> private:
>const char* the_word;
> };
> #endif /* _WORD_H_ */
>
> word.cpp:
>
> #include "word.h"
> Word::Word(const char *w)
> {
>this->the_word = w;
> }
> char* Word::reverse() const
> {
>return this->the_word;
> }
>
> word.sip:
>
> // Define the SIP wrapper to the word library.
>
> %Module word 0
>
> class Word {
>
> %TypeHeaderCode
> #include
> %End
>
> public:
>Word(const char *w);
>
>char *reverse() const;
>
> };
>
> configure.py:
>
> import os
> import sipconfig
>
> # The name of the SIP build file generated by SIP and used by the
> build
> # system.
> build_file = "word.sbf"
>
> # Get the SIP configuration information.
> config = sipconfig.Configuration()
>
> # Run SIP to generate the code.
> os.system(" ".join([config.sip_bin, "-c", ".", "-b", build_file,
> "word.sip"]))
>
> # Create the Makefile.
> makefile = sipconfig.SIPModuleMakefile(config, build_file)
>
> # Add the library we are wrapping. The name doesn't include any
> platform
> # specific prefixes or extensions (e.g. the "lib" prefix on UNIX, or
> the
> # ".dll" extension on Windows).
> makefile.extra_libs = ["word"]
>
> # Generate the Makefile itself.
> makefile.generate()
>
>
> As I said, the code is just from this example:
> http://www.riverbankcomputing.com/static/Docs/sip4/sipref.html#using-sip
>
> It is possible that this is not well suited for OSX. The makefile
> generated includes the flag '-bundle' which, as far as I can tell,
> is OSX specific. However, the 'TARGET' is 'word.so', which is not
> 'libword.dylib'.
>
> Do you know a good web resource for learning the basics of linking?
> Man pages are a bit brief for newbies.
>
>
> Cheers!
> Paul.
>
>
>> Not knowing C/C++ & linking is certainly something that will get you
>> when trying to wrap libs written in these languages.
>>
>> I'm on OSX myself, and can say that as a unixish system, it is rather
>> friendly to self-compliation needs.
>>
>> However, without having the complete sources & libs, I can't really
>> comment much - the only thing that is clear from above is that the
>> linker does not find the file
>>
>> libword.dylib
>>
>> which you of course need to have somewhere. The good news is that
>> once
>> you've teached the linker where to find it (using LDFLAGS or other
>> means) you are (modulo debugging) done - SIP has apparently grokked
>> your
>> .sip-file.
>>
>> Of course you also must make the library available at runtime. So it
>> must be installed on a location (or that location given with
>> DYLD_LIBRARY_PATH) where the dynamic loader will find it.
>>
>> Diez
>> --
>> http://mail.python.org/mailman/listinfo/python-list
>
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Re: Wrapping C++ class with SWIG, Mac OS X
Okay, installed SIP. Looks promising, following the tutorial on http://www.riverbankcomputing.com/static/Docs/sip4/sipref.html#using-sip It should be noted that I am working on a Mac - I know there are some differences, but it's still UNIX and should work somehow. Anyway, I copy-paste and create the Word.h header, write an implementation in Word.cpp, the SIP wrapper Word.sip and the configure.py script. I now run configure and make, creating the following error: ~/Desktop/SIP_example $ python configure.py ~/Desktop/SIP_example $ make c++ -c -pipe -fPIC -Os -Wall -W -I. -I/sw/include/python2.5 -o sipwordcmodule.o sipwordcmodule.cpp c++ -c -pipe -fPIC -Os -Wall -W -I. -I/sw/include/python2.5 -o sipwordWord.o sipwordWord.cpp c++ -headerpad_max_install_names -bundle -undefined dynamic_lookup -o word.so sipwordcmodule.o sipwordWord.o -lword ld: library not found for -lword collect2: ld returned 1 exit status make: *** [word.so] Error 1 ~/Desktop/SIP_example $ SWIG at least works nicely with C... Too bad I know so little about compilers and libraries, I don't quite understand what the linker (ld) is complaining about. The simplest tutorial should anyway work? Cheers Paul. > > Can't help on SWIG - all I can say is that SIP which is used to wrap > the > large and template-ridden C++-GUI-Toolkit Qt worked flawlessly for me. > Maybe you should try that. > > Diez > -- > http://mail.python.org/mailman/listinfo/python-list -- http://mail.python.org/mailman/listinfo/python-list
Wrapping C++ class with SWIG, Mac OS X
Hello guys,
(related to previous thread on wrapping C/C++ in Python, trying the
SWIG approach.)
Trying to map a C++ class to python, one method for now. Running the
following commands to "compile":
--
#!/usr/bin/env bash
MOD_NAME=Wavelet
swig -c++ -python -o ${MOD_NAME}_wrap.cpp ${MOD_NAME}.i
gcc -c++ -fPIC -c ${MOD_NAME}.cpp -o ${MOD_NAME}.o -I/usr/include/
python2.5 -I/usr/lib/python2.5
gcc -c++ -fPIC -c ${MOD_NAME}_wrap.cpp -o ${MOD_NAME}_wrap.o -I/usr/
include/python2.5 -I/usr/lib/python2.5
gcc -bundle -flat_namespace -undefined suppress -o _${MOD_NAME}.so $
{MOD_NAME}.o ${MOD_NAME}_wrap.o
--
The source code is:
--
Wavelet.h
--
#ifndef _WAVELET_H_
#define _WAVELET_H_
#include
#include
using namespace std;
class Wavelet
{
public:
Wavelet(vector theV);
~Wavelet();
vector GetDaub4Trans();
private:
vector v;
};
#endif /*_WAVELET_H_*/
--
and Wavelet.cpp:
--
#include "wavelet.h"
Wavelet::Wavelet(vector theV)
{
this->v = theV;
}
Wavelet::~Wavelet()
{
// Nothing for now
}
vector Wavelet::GetDaub4Trans()
{
vector retV = vector();
retV.push_back(3.14);
retV.push_back(2.71);
retV.push_back(1.62);
return retV;
// just to test the approach - everything in here I can fix later.
}
--
This seems to compile, but in python I get:
--
$ python
imPython 2.5.2 (r252:60911, Mar 30 2008, 22:49:33)
[GCC 4.0.1 (Apple Inc. build 5465)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import Wavelet
Traceback (most recent call last):
File "", line 1, in
File "Wavelet.py", line 7, in
import _Wavelet
ImportError: dlopen(./_Wavelet.so, 2): Symbol not found:
__ZNKSt11logic_error4whatEv
Referenced from: /Users/paul/Desktop/Wavelet_SWIG_Cpp/_Wavelet.so
Expected in: flat namespace
>>>
--
Any ideas or tips? SWIG seems very nice for simple C methods where you
pass an int and return an int, but I can't seem to figure out the
syntaxes etc for more complicated stuff - arrays, vector, C++, ...
Appreciate any help!
Cheers,
Paul.
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Re: problem with using gnuplot/demo.py
Could you include some code around line 39 in demo.py?
Also, you could try to comment out the stuff before that point, and
see if the demo runs that far.
Paul.
hi
i want to use gnuplot with python
i installed it seemingly successfully
but when i try to run demo.py it gives the following error
Traceback (most recent call last):
File "C:\Python23\Lib\site-packages\Gnuplot\demo.py", line 113, in ?
demo()
File "C:\Python23\Lib\site-packages\Gnuplot\demo.py", line 39, in
demo
g.reset()
File "C:\Python23\Lib\site-packages\Gnuplot\_Gnuplot.py", line
355, in reset
self('reset')
File "C:\Python23\Lib\site-packages\Gnuplot\_Gnuplot.py", line
199, in __call__
self.gnuplot(s)
File "C:\Python23\Lib\site-packages\Gnuplot\gp_win32.py", line
125, in __call__
self.write(s + '\n')
im using python23 & gnuplot1.7
please help
From Chandigarh to Chennai - find friends all over India. Click
here.--
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Re: wrapping C functions in python
Brian and Diez: First of all, thanks for the advice. Brian: I have installed NumPy and SciPy, but I can't seem to find a wavelet transform there. The main point of this was more to learn C wrapping than to actually get a calculation done. I will probably be starting a PhD soon, doing really heavy computations. If I want to manipulate data (input / results), python is very nice, especially with gnuplot-py. However, heavy calculations should probably be done in C(++), especially as some code for this already exists. I will look into SWIG. Diez: I will look into it. Do you know a good tutorial for this? I found the "standard" tutorial on C extensions, http://www.python.org/doc/ext/intro.html , but as I mentioned, it seems to be a bit complicated to wrap heavy data structures like arrays. Cheers PA. -- http://mail.python.org/mailman/listinfo/python-list
Re: wrapping C functions in python
Hi, and thanks.
However, being a newbie, I now have to ask: What is SWIG? I have heard
the name before, but haven't understood what it is, why I need it, or
similar. Could you please supply some hints?
-Paul
Den 9. april. 2008 kl. 22.22 skrev Brian Cole:
> We use the following SWIG (www.swig.org) typemap to perform such
> operations:
>
> %typemap(in) (int argc, char **argv) {
> if (!PySequence_Check($input)) {
> PyErr_SetString(PyExc_ValueError,"Expected a sequence");
> return NULL;
> }
> $1 = PySequence_Length($input);
> $2 = (char**)alloca($1*sizeof(char*));
> for (Py_ssize_t i = 0; i < $1; ++i) {
> PyObject *o = PySequence_GetItem($input, i);
> $2[i] = PyString_AsString(o);
> }
> }
>
> That one works for mapping a python sequence (such as a list) into the
> argc, argv arguments commonly passed into main.
>
> -Brian
>
> On Wed, Apr 9, 2008 at 2:13 PM, Paul Anton Letnes
> <[EMAIL PROTECTED]> wrote:
>> Hello etc.
>>
>>
>> I am a "scientific" user of Python, and hence have to write some
>> performance
>> critical algorithms. Right now, I am learning Python, so this is a
>> "newbie"
>> question.
>>
>> I would like to wrap some heavy C functions inside Python,
>> specifically a
>> wavelet transform. I am beginning to become aquainted with the
>> functions
>> PyArg_ParseTuple() and Py_BuildValue(). However, I am unable to
>> figure out
>> how to pass Python list -> C function or C array -> return value in
>> Python.
>> I manage to build and run the C function, print to screen, pass
>> string as
>> argument, return an int, etc. The thing which is missing is the magic
>> array/list...
>>
>>
>> Thanks in advance! I fart in your general direction.
>> Paul.
>> --
>> http://mail.python.org/mailman/listinfo/python-list
>>
> --
> http://mail.python.org/mailman/listinfo/python-list
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wrapping C functions in python
Hello etc. I am a "scientific" user of Python, and hence have to write some performance critical algorithms. Right now, I am learning Python, so this is a "newbie" question. I would like to wrap some heavy C functions inside Python, specifically a wavelet transform. I am beginning to become aquainted with the functions PyArg_ParseTuple() and Py_BuildValue(). However, I am unable to figure out how to pass Python list -> C function or C array -> return value in Python. I manage to build and run the C function, print to screen, pass string as argument, return an int, etc. The thing which is missing is the magic array/list... Thanks in advance! I fart in your general direction. Paul.-- http://mail.python.org/mailman/listinfo/python-list
