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• XMPP— openfire,PHP and python web service

  - by mlakhara

  I am planning to integrate real time notifications into a web application that I am currently working on. I have decided to go with XMPP for this and selected openfire server which i thought to be suitable for my needs. The front end uses strophe library to fetch the notifications using BOSH from my openfire server. However the notices are the notifications and other messages are to be posted by my application and hence I think this code needs to reside at the backend. Initially I thougt of going with PHP XMPP libraries like XMPHP and JAXL but then I think that this would cause much overhead as each script will have to do same steps like connection, authentication etc. and I think this would make the PHP end a little slow and unresponsive. Now I am thinking of creating a middle-ware application acting as a web service that the PHP will call and this application will handle the stuff with XMPP service. The benefit with this is that this app(a server if you will) will have to connect just once and the it will sit there listening on a port. also I am planning to build it in a asynchronous way such that It will first take all the requests from my PHp app and then when there are no more requests; go about doing the notification publishing stuff. I am planninng to create this service in Python using SleekXMPP. This is just what I planned. I am new to XMPP and this whole web service stuff ans would like to take your comments on this regarding issues like memory and CPU usage, advantages, disadvantages, scalability issues,security etc. Thanks in advance. PS:-- also if something like this already exists(although I didn't find after a lot of Googling) Please direct me there. EDIT --- The middle-level service should be doing the following(but not limited to): 1. Publishing notifications for different level of groups and community pages. 2. Notification for single user on some event. 3. User registration(can be done using user service plugin though). EDIT --- Also it should like to create pub-sub nodes and subscribe and unsubscribe users from these pub-sub nodes. Also I want to store the notifications and messages in a database(openfire doesn't). Would that be a good choice?

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• Project Euler 18: (Iron)Python

  - by Ben Griswold

  In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 18.  As always, any feedback is welcome. # Euler 18 # http://projecteuler.net/index.php?section=problems&id=18 # By starting at the top of the triangle below and moving # to adjacent numbers on the row below, the maximum total # from top to bottom is 23. # # 3 # 7 4 # 2 4 6 # 8 5 9 3 # # That is, 3 + 7 + 4 + 9 = 23. # Find the maximum total from top to bottom of the triangle below: # 75 # 95 64 # 17 47 82 # 18 35 87 10 # 20 04 82 47 65 # 19 01 23 75 03 34 # 88 02 77 73 07 63 67 # 99 65 04 28 06 16 70 92 # 41 41 26 56 83 40 80 70 33 # 41 48 72 33 47 32 37 16 94 29 # 53 71 44 65 25 43 91 52 97 51 14 # 70 11 33 28 77 73 17 78 39 68 17 57 # 91 71 52 38 17 14 91 43 58 50 27 29 48 # 63 66 04 68 89 53 67 30 73 16 69 87 40 31 # 04 62 98 27 23 09 70 98 73 93 38 53 60 04 23 # NOTE: As there are only 16384 routes, it is possible to solve # this problem by trying every route. However, Problem 67, is the # same challenge with a triangle containing one-hundred rows; it # cannot be solved by brute force, and requires a clever method! ;o) import time start = time.time() triangle = [ [75], [95, 64], [17, 47, 82], [18, 35, 87, 10], [20, 04, 82, 47, 65], [19, 01, 23, 75, 03, 34], [88, 02, 77, 73, 07, 63, 67], [99, 65, 04, 28, 06, 16, 70, 92], [41, 41, 26, 56, 83, 40, 80, 70, 33], [41, 48, 72, 33, 47, 32, 37, 16, 94, 29], [53, 71, 44, 65, 25, 43, 91, 52, 97, 51, 14], [70, 11, 33, 28, 77, 73, 17, 78, 39, 68, 17, 57], [91, 71, 52, 38, 17, 14, 91, 43, 58, 50, 27, 29, 48], [63, 66, 04, 68, 89, 53, 67, 30, 73, 16, 69, 87, 40, 31], [04, 62, 98, 27, 23, 9, 70, 98, 73, 93, 38, 53, 60, 04, 23]] # Loop through each row of the triangle starting at the base. for a in range(len(triangle) - 1, -1, -1): for b in range(0, a): # Get the maximum value for adjacent cells in current row. # Update the cell which would be one step prior in the path # with the new total. For example, compare the first two # elements in row 15. Add the max of 04 and 62 to the first # position of row 14.This provides the max total from row 14 # to 15 starting at the first position. Continue to work up # the triangle until the maximum total emerges at the # triangle's apex. triangle [a-1][b] += max(triangle [a][b], triangle [a][b+1]) print triangle [0][0] print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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• How to refactor a Python “god class”?

  - by Zearin

  Problem I’m working on a Python project whose main class is a bit “God Object”. There are so friggin’ many attributes and methods! I want to refactor the class. So Far… For the first step, I want to do something relatively simple; but when I tried the most straightforward approach, it broke some tests and existing examples. Basically, the class has a loooong list of attributes—but I can clearly look over them and think, “These 5 attributes are related…These 8 are also related…and then there’s the rest.” getattr I basically just wanted to group the related attributes into a dict-like helper class. I had a feeling __getattr__ would be ideal for the job. So I moved the attributes to a separate class, and, sure enough, __getattr__ worked its magic perfectly well… At first. But then I tried running one of the examples. The example subclass tries to set one of these attributes directly (at the class level). But since the attribute was no longer “physically located” in the parent class, I got an error saying that the attribute did not exist. @property I then read up about the @property decorator. But then I also read that it creates problems for subclasses that want to do self.x = blah when x is a property of the parent class. Desired Have all client code continue to work using self.whatever, even if the parent’s whatever property is not “physically located” in the class (or instance) itself. Group related attributes into dict-like containers. Reduce the extreme noisiness of the code in the main class. For example, I don’t simply want to change this: larry = 2 curly = 'abcd' moe = self.doh() Into this: larry = something_else('larry') curly = something_else('curly') moe = yet_another_thing.moe() …because that’s still noisy. Although that successfully makes a simply attribute into something that can manage the data, the original had 3 variables and the tweaked version still has 3 variables. However, I would be fine with something like this: stooges = Stooges() And if a lookup for self.larry fails, something would check stooges and see if larry is there. (But it must also work if a subclass tries to do larry = 'blah' at the class level.) Summary Want to replace related groups of attributes in a parent class with a single attribute that stores all the data elsewhere Want to work with existing client code that uses (e.g.) larry = 'blah' at the class level Want to continue to allow subclasses to extend, override, and modify these refactored attributes without knowing anything has changed Is this possible? Or am I barking up the wrong tree?

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• Project Euler 11: (Iron)Python

  - by Ben Griswold

  In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 11.  As always, any feedback is welcome. # Euler 11 # http://projecteuler.net/index.php?section=problems&id=11 # What is the greatest product # of four adjacent numbers in any direction (up, down, left, # right, or diagonally) in the 20 x 20 grid? import time start = time.time() grid = [\ [8,02,22,97,38,15,00,40,00,75,04,05,07,78,52,12,50,77,91,8],\ [49,49,99,40,17,81,18,57,60,87,17,40,98,43,69,48,04,56,62,00],\ [81,49,31,73,55,79,14,29,93,71,40,67,53,88,30,03,49,13,36,65],\ [52,70,95,23,04,60,11,42,69,24,68,56,01,32,56,71,37,02,36,91],\ [22,31,16,71,51,67,63,89,41,92,36,54,22,40,40,28,66,33,13,80],\ [24,47,32,60,99,03,45,02,44,75,33,53,78,36,84,20,35,17,12,50],\ [32,98,81,28,64,23,67,10,26,38,40,67,59,54,70,66,18,38,64,70],\ [67,26,20,68,02,62,12,20,95,63,94,39,63,8,40,91,66,49,94,21],\ [24,55,58,05,66,73,99,26,97,17,78,78,96,83,14,88,34,89,63,72],\ [21,36,23,9,75,00,76,44,20,45,35,14,00,61,33,97,34,31,33,95],\ [78,17,53,28,22,75,31,67,15,94,03,80,04,62,16,14,9,53,56,92],\ [16,39,05,42,96,35,31,47,55,58,88,24,00,17,54,24,36,29,85,57],\ [86,56,00,48,35,71,89,07,05,44,44,37,44,60,21,58,51,54,17,58],\ [19,80,81,68,05,94,47,69,28,73,92,13,86,52,17,77,04,89,55,40],\ [04,52,8,83,97,35,99,16,07,97,57,32,16,26,26,79,33,27,98,66],\ [88,36,68,87,57,62,20,72,03,46,33,67,46,55,12,32,63,93,53,69],\ [04,42,16,73,38,25,39,11,24,94,72,18,8,46,29,32,40,62,76,36],\ [20,69,36,41,72,30,23,88,34,62,99,69,82,67,59,85,74,04,36,16],\ [20,73,35,29,78,31,90,01,74,31,49,71,48,86,81,16,23,57,05,54],\ [01,70,54,71,83,51,54,69,16,92,33,48,61,43,52,01,89,19,67,48]] # left and right max, product = 0, 0 for x in range(0,17): for y in xrange(0,20): product = grid[y][x] * grid[y][x+1] * \ grid[y][x+2] * grid[y][x+3] if product > max : max = product # up and down for x in range(0,20): for y in xrange(0,17): product = grid[y][x] * grid[y+1][x] * \ grid[y+2][x] * grid[y+3][x] if product > max : max = product # diagonal right for x in range(0,17): for y in xrange(0,17): product = grid[y][x] * grid[y+1][x+1] * \ grid[y+2][x+2] * grid[y+3][x+3] if product > max: max = product # diagonal left for x in range(0,17): for y in xrange(0,17): product = grid[y][x+3] * grid[y+1][x+2] * \ grid[y+2][x+1] * grid[y+3][x] if product > max : max = product print max print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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• Python easy_install confused on Mac OS X

  - by slf

  environment info: $ echo $PATH /opt/local/bin:/opt/local/sbin:/sw/bin:/sw/sbin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin:/usr/X11/bin:/usr/X11R6/bin:/opt/local/bin:/Developer/Platforms/iPhoneOS.platform/Developer/usr/bin:~/.utility_scripts $ which easy_install /usr/bin/easy_install specifically, let's try the simplejson module (I know it's the same thing as import json in 2.6, but that isn't the point) $ sudo easy_install simplejson Searching for simplejson Reading http://pypi.python.org/simple/simplejson/ Reading http://undefined.org/python/#simplejson Best match: simplejson 2.1.0 Downloading http://pypi.python.org/packages/source/s/simplejson/simplejson-2.1.0.tar.gz#md5=3ea565fd1216462162c6929b264cf365 Processing simplejson-2.1.0.tar.gz Running simplejson-2.1.0/setup.py -q bdist_egg --dist-dir /tmp/easy_install-Ojv_yS/simplejson-2.1.0/egg-dist-tmp-AypFWa The required version of setuptools (>=0.6c11) is not available, and can't be installed while this script is running. Please install a more recent version first, using 'easy_install -U setuptools'. (Currently using setuptools 0.6c9 (/System/Library/Frameworks/Python.framework/Versions/2.6/Extras/lib/python)) error: Setup script exited with 2 ok, so I'll update setuptools... $ sudo easy_install -U setuptools Searching for setuptools Reading http://pypi.python.org/simple/setuptools/ Best match: setuptools 0.6c11 Processing setuptools-0.6c11-py2.6.egg setuptools 0.6c11 is already the active version in easy-install.pth Installing easy_install script to /usr/local/bin Installing easy_install-2.6 script to /usr/local/bin Using /Library/Python/2.6/site-packages/setuptools-0.6c11-py2.6.egg Processing dependencies for setuptools Finished processing dependencies for setuptools I'm not going to speculate, but this could have been caused by any number of environment changes like the Leopard - Snow Leopard upgrade, MacPorts or Fink updates, or multiple Google App Engine updates.

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• Generic RPM package for Python 2.x

  - by RaphDG

  I have a python application, it can run on Python = 2.6 and it's architecture independant. I need the rpm package of this application to be installed on Fedora 14 (python 2.7) and Centos 6.2 (python 2.6). I currently use mock to build one rpm package for each "flavour" and it works well. I apparently can't install the Centos compiled rpm on Fedora. It gives me this error message : error: Failed dependencies: python(abi) = 2.6 is needed by myapp-0.9.el6.noarch Here is the relevant part of my .spec file : %{!?python_sitelib: %global python_sitelib %(%{__python} -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())")} %{!?python_sitearch: %global python_sitearch %(%{__python} -c "from distutils.sysconfig import get_python_lib; print(get_python_lib(1))")} Name: myapp Version: #VERSION# Release: #RELEASE#%{dist} Summary: myapp Group: Development/Languages License: Apache v2 Source0: %{name}-%{version}-#RELEASE#.tar.gz BuildRoot: %{_tmppath}/%{name}-%{version}-%{release}-root-%(%{__id_u} -n) BuildArch: noarch BuildRequires: python-devel BuildRequires: python-setuptools %description myapp %prep %setup -c %build %{__python} setup.py build %install %{__rm} -rf %{buildroot} %{__python} setup.py install -O1 --skip-build --root %{buildroot} Do I really have to use mock and build 2 rpms or is there another way to create a single generic 2.x rpm package ?

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• Mac 10.5 Python libsvm 64 bit vs 32 bit

  - by shadowsoul

  I have a Mac 10.5 when I type "python" in terminal, it says Enthought Python Distribution -- www.enthought.com Version: 7.3-2 (64-bit) Python 2.7.3 |EPD 7.3-2 (64-bit)| (default, Apr 12 2012, 11:14:05) [GCC 4.0.1 (Apple Inc. build 5493)] on darwin Type "credits", "demo" or "enthought" for more information. then I go to my libsvm/python folder and type "make" which results in make -C .. lib if [ "Darwin" = "Darwin" ]; then \ SHARED_LIB_FLAG="-dynamiclib -W1,-install_name,libsvm.so.2"; \ else \ SHARED_LIB_FLAG="-shared -W1,-soname,libsvm.so.2"; \ fi; \ g++ ${SHARED_LIB_FLAG} svm.o -o libsvm.so.2 when I try to do "from svmutil import *" I get the error: OSError: dlopen(.../libsvm-3.12/python/../libsvm.so.2, 6): no suitable image found. Did find: .../libsvm-3.12/python/../libsvm.so.2: mach-o, but wrong architecture when I do "lipo -info libsvm.so.2", I get: Non-fat file: libsvm.so.2 is architecture: i386 So it looks like I'm running 64-bit python but libsvm ends up as a 32-bit program. Any way I can get it to compile as a 64-bit program?

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• Broken Python installation on CentOS 5.8

  - by Beckett

  I already searched for solution to my problem via Google and stackoverflow's search facility, but haven't found anything related specifically to it. Here's the problem: I needed python 2.7.3 on CentOS 5.8 machine which has only python 2.4.3 preinstalled. Also neither there's the suitable version in it's repositories nor I can upgrade installed version. That's why I decided to build python from source code. But I've made a mistake: instead of make altinstall I did make install thus changing default version of the current installation. It was before I found this article - How to install Python 2.7.3 on CentOS 6.2 . I guess 5.8 and 6.2 versions aren't different to the extent this article is inapplicable. After installation of new python version I installed pip, but once I tried to invoke it, I got "No module named pkg_resources" error. In order to solve this issue I installed setuptools from repository. But it had only led to another error: "Distribution Not Found". My final step was to follow the guide I posted the link to, but I was unable to perform last step: easy_install-2.7 virtualenv command threw "-bash: /usr/local/bin/easy_install-2.7: .: bad interpreter: Permission denied" error. Now when I try to invoke pip or pip-2.7 both commands raise the same error with different names of binaries after "-bash:". Is there any way to fix this problem, so I could install new python version (2.7.3) alongside with the preinstalled one (2.4.3) according to the guide? Any help will be appreciated. P.S.: yum is working fine, although it needs python to function, so I hope the damage I unknowingly caused isn't very severe. Also I'm not a native English speaker, so I apologize for possible occasional grammatical and/or spelling errors.

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• Python Coding standards vs. productivity

  - by Shroatmeister

  I work for a large humanitarian organisation, on a project building software that could help save lives in emergencies by speeding up the distribution of food. Many NGOs desperately need our software and we are weeks behind schedule. One thing that worries me in this project is what I think is an excessive focus on coding standards. We write in python/django and use a version of PEP0008, with various modifications e.g. line lengths can go up to 160 chars and all lines should go that long if possible, no blank lines between imports, line wrapping rules that apply only to certain kinds of classes, lots of templates that we must use, even if they aren't the best way to solve a problem etc. etc. One core dev spent a week rewriting a major part of the system to meet the then new coding standards, throwing away several suites of tests in the process, as the rewrite meant they were 'invalid'. We spent two weeks rewriting all the functionality that was lost, and fixing bugs. He is the lead dev and his word carries weight, so he has convinced the project manager that these standards are necessary. The junior devs do as they are told. I sense that the project manager has a strong feeling of cognitive dissonance about all this but nevertheless agrees with it vehemently as he feels unsure what else to do. Today I got in serious trouble because I had forgotten to put some spaces after commas in a keyword argument. I was literally shouted at by two other devs and the project manager during a Skype call. Personally I think coding standards are important but also think that we are wasting a lot of time obsessing with them, and when I verbalized this it provoked rage. I'm seen as a troublemaker in the team, a team that is looking for scapegoats for its failings. Since the introduction of the coding standards, the team's productivity has measurably plummeted, however this only reinforces the obsession, i.e. the lead dev simply blames our non-adherence to standards for the lack of progress. He believes that we can't read each other's code if we don't adhere to the conventions. This is starting to turn sticky. Now I am trying to modify various scripts, autopep8, pep8ify and PythonTidy to try to match the conventions. We also run pep8 against source code but there are so many implicit amendments to our standard that it's hard to track them all. The lead dev simple picks faults that the pep8 script doesn't pick up and shouts at us in the next stand-up meeting. Every week there are new additions to the coding standards that force us to rewrite existing, working, tested code. Thank heavens we still have tests, (I reverted some commits and fixed a bunch of the ones he removed). All the while there is increasing pressure to meet the deadline. I believe a fundamental issue is that the lead dev and another core dev refuse to trust other developers to do their job. But how to deal with that? We can't do our job because we are too busy rewriting everything. I've never encountered this dynamic in a software engineering team. Am I wrong to question their adherence to coding standards? Has anyone else experienced a similar situation and how have they dealt with it successfully? (I'm not looking for a discussion just actual solutions people have found)

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• Project Euler 17: (Iron)Python

  - by Ben Griswold

  In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 17.  As always, any feedback is welcome. # Euler 17 # http://projecteuler.net/index.php?section=problems&id=17 # If the numbers 1 to 5 are written out in words: # one, two, three, four, five, then there are # 3 + 3 + 5 + 4 + 4 = 19 letters used in total. # If all the numbers from 1 to 1000 (one thousand) # inclusive were written out in words, how many letters # would be used? # # NOTE: Do not count spaces or hyphens. For example, 342 # (three hundred and forty-two) contains 23 letters and # 115 (one hundred and fifteen) contains 20 letters. The # use of "and" when writing out numbers is in compliance # with British usage. import time start = time.time() def to_word(n): h = { 1 : "one", 2 : "two", 3 : "three", 4 : "four", 5 : "five", 6 : "six", 7 : "seven", 8 : "eight", 9 : "nine", 10 : "ten", 11 : "eleven", 12 : "twelve", 13 : "thirteen", 14 : "fourteen", 15 : "fifteen", 16 : "sixteen", 17 : "seventeen", 18 : "eighteen", 19 : "nineteen", 20 : "twenty", 30 : "thirty", 40 : "forty", 50 : "fifty", 60 : "sixty", 70 : "seventy", 80 : "eighty", 90 : "ninety", 100 : "hundred", 1000 : "thousand" } word = "" # Reverse the numbers so position (ones, tens, # hundreds,...) can be easily determined a = [int(x) for x in str(n)[::-1]] # Thousands position if (len(a) == 4 and a[3] != 0): # This can only be one thousand based # on the problem/method constraints word = h[a[3]] + " thousand " # Hundreds position if (len(a) >= 3 and a[2] != 0): word += h[a[2]] + " hundred" # Add "and" string if the tens or ones # position is occupied with a non-zero value. # Note: routine is broken up this way for [my] clarity. if (len(a) >= 2 and a[1] != 0): # catch 10 - 99 word += " and" elif len(a) >= 1 and a[0] != 0: # catch 1 - 9 word += " and" # Tens and ones position tens_position_value = 99 if (len(a) >= 2 and a[1] != 0): # Calculate the tens position value per the # first and second element in array # e.g. (8 * 10) + 1 = 81 tens_position_value = int(a[1]) * 10 + a[0] if tens_position_value <= 20: # If the tens position value is 20 or less # there's an entry in the hash. Use it and there's # no need to consider the ones position word += " " + h[tens_position_value] else: # Determine the tens position word by # dividing by 10 first. E.g. 8 * 10 = h[80] # We will pick up the ones position word later in # the next part of the routine word += " " + h[(a[1] * 10)] if (len(a) >= 1 and a[0] != 0 and tens_position_value > 20): # Deal with ones position where tens position is # greater than 20 or we have a single digit number word += " " + h[a[0]] # Trim the empty spaces off both ends of the string return word.replace(" ","") def to_word_length(n): return len(to_word(n)) print sum([to_word_length(i) for i in xrange(1,1001)]) print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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• Python: undefined reference to `_imp __Py_InitModule4'

  - by Mark

  I'm trying to do a debug build of the Rabbyt library using mingw's gcc to run with my MSVC built python26_d.. I got a lot of undefined references which caused me to create libpython26_d.a, however one of the undefined references remains. Googling gives me: http://www.techlists.org/archives/programming/pythonlist/2003-03/msg01035.shtml But -rdynamic doesn't help. e:\MinGW/bin\gcc.exe -mno-cygwin -mdll -O -Wall -g -IE:\code\python\python\py26\ include -IE:\code\python\python\py26\PC -c rabbyt/rabbyt._rabbyt.c -o build\temp .win32-2.6-pydebug\Debug\rabbyt\rabbyt._rabbyt.o -O3 -fno-strict-aliasing rabbyt/rabbyt._rabbyt.c:1351: warning: '__Pyx_SetItemInt' defined but not used writing build\temp.win32-2.6-pydebug\Debug\rabbyt\_rabbyt_d.def e:\MinGW/bin\gcc.exe -mno-cygwin -shared -g build\temp.win32-2.6-pydebug\Debug\r abbyt\rabbyt._rabbyt.o build\temp.win32-2.6-pydebug\Debug\rabbyt\_rabbyt_d.def - LE:\code\python\python\py26\libs -LE:\code\python\python\py26\PCbuild -lopengl32 -lglu32 -lpython26_d -lmsvcr90 -o build\lib.win32-2.6-pydebug\rabbyt\_rabbyt_d. pyd build\temp.win32-2.6-pydebug\Debug\rabbyt\rabbyt._rabbyt.o: In function `init_ra bbyt': E:/code/python/rabbyt/rabbyt/rabbyt._rabbyt.c:1121: undefined reference to `_imp __Py_InitModule4'

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• Linux - preventing an application from failing due to lack of disk space [migrated]

  - by Jernej

  Due to an unpredicted scenario I am currently in need of finding a solution to the fact that an application (which I do not wish to kill) is slowly hogging the entire disk space. To give more context I have an application in Python that uses multiprocessing.Pool to start 5 threads. Each thread writes some data to its own file. The program is running on Linux and I do not have root access to the machine. The program is CPU intensive and has been running for months. It still has a few days to write all the data. 40% of the data in the files is redundant and can be removed after a quick test. The system on which the program is running only has 30GB of remaining disk space and at the current rate of work it will surely be hogged before the program finishes. Given the above points I see the following solutions with respective problems Given that the process number i is writing to file_i, is it safe to move file_i to an external location? Will the OS simply create a new instance of file_i and write to it? I assume moving the file would remove it and the process would end up writing to a "dead" file? Is there a "command line" way to stop 4 of the 5 spawned workers and wait until one of them finishes and then resume their work? (I am sure one single worker thread would avoid hogging the disk) Suppose I use CTRL+Z to freeze the main process. Will this stop all the other processes spawned by multiprocessing.Pool? If yes, can I then safely edit the files as to remove the redundant lines? Given the three options that I see, would any of them work in this context? If not, is there a better way to handle this problem? I would really like to avoid the scenario in which the program crashes just few days before its finish.

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• install pymedia and python audio tools

  - by aaron

  I noticed a pattern of errors while trying to install PyMedia and Python Audio Tools. For both modules I run the following: $ python setup.py install Then I get a series of compilation errors, and then this: lipo: can't figure out the architecture type of: /var/folders/Kx/Kxxj4868HGi6VMhZLPyZN++++TI/-Tmp-//cch1y9AO.out error: command '/usr/bin/gcc-4.2' failed with exit status 1 I'm running Mac OS X 10.5, and this happens whether I'm using gcc-4.0 or gcc-4.2, Mac-Python 2.5 or 2.6, and MacPorts-Python 2.6. What's going on?

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• Unable to build Python modules in Mandriva 2010

  - by SteveJ

  I am trying to build a Python module (pyfits) but I get the following error: # python setup.py install /home/steve/src/pyfits-2.2.2/stsci_distutils_hack.py:239: DeprecationWarning: os.popen3 is deprecated. Use the subprocess module. (sin, sout, serr) = os.popen3(cmd) running install error: invalid Python installation: unable to open /usr/lib64/python2.6/config/Makefile (No such file or directory) I get the same error when I try and build other modules so my guess is I am missing a Python development library. I am running Mandriva 2010.0, any suggestions?

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• Run serveral daemon using python

  - by ylc

  I noticed that serveral daemon invoked python seperately. For example, I have both wicd and ibus daemon running on my machine. Instead of launching a single instance of python, the daemons run with two python instance at the same time in htop: /usr/bin/python2 -O /usr/share/wicd/daemon/monitor.py python2 /usr/share/ibus/ui/gtk/main.py Is it a waste of doing that? If yes, how can I improve this? If no, why avoid putting all daemons run on a single python instance?

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• python manage.py runserver fails

  - by Randy Simon

  I am trying to learn django by following along with this tutorial. I am using django version 1.1.1 I run django-admin.py startproject mysite and it creates the files it should. Then I try to start the server by running python manage.py runserver but here is where I get the following error. Traceback (most recent call last): File "manage.py", line 11, in <module> execute_manager(settings) File "/Library/Python/2.6/site-packages/django/core/management/__init__.py", line 362, in execute_manager utility.execute() File "/Library/Python/2.6/site-packages/django/core/management/__init__.py", line 303, in execute self.fetch_command(subcommand).run_from_argv(self.argv) File "/Library/Python/2.6/site-packages/django/core/management/base.py", line 195, in run_from_argv self.execute(*args, **options.__dict__) File "/Library/Python/2.6/site-packages/django/core/management/base.py", line 213, in execute translation.activate('en-us') File "/Library/Python/2.6/site-packages/django/utils/translation/__init__.py", line 73, in activate return real_activate(language) File "/Library/Python/2.6/site-packages/django/utils/translation/__init__.py", line 43, in delayed_loader return g['real_%s' % caller](*args, **kwargs) File "/Library/Python/2.6/site-packages/django/utils/translation/trans_real.py", line 205, in activate _active[currentThread()] = translation(language) File "/Library/Python/2.6/site-packages/django/utils/translation/trans_real.py", line 194, in translation default_translation = _fetch(settings.LANGUAGE_CODE) File "/Library/Python/2.6/site-packages/django/utils/translation/trans_real.py", line 172, in _fetch for localepath in settings.LOCALE_PATHS: File "/Library/Python/2.6/site-packages/django/utils/functional.py", line 273, in __getattr__ return getattr(self._wrapped, name) AttributeError: 'Settings' object has no attribute 'LOCALE_PATHS' Now, I can add a LOCALE_PATH atribute and set to an empty tuple to my settings.py file but then it just complains about another setting and so on. What am I missing here?

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• Cocoa App with Python extension which use Scipy -> ImportError: No module named scipy

  - by Snej

  Hi: I have installed Scipy (via macports) for Python on my Mac and it runs fine when running Python scripts. But now I'm using Scipy (via PyObjc) for calculations embedded in a Cocoa App frontend. The following error occurs: ImportError: No module named scipy I am using the "Python.framework" in XCode. Does anybody know why Scipy module is not found? I even added it manually to the module search path via sys.path.append("/opt/local/var/macports/software/py26-scipy/0.7.1_0+gcc43/opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/scipy/") EDIT: I found the problem myself. The path should be without "/scipy" at the end. But now I got an architecture problem: ImportError: dlopen(/opt/local/var/macports/software/py26-scipy/0.7.1_0+gcc43/opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/scipy/fftpack/_fftpack.so, 2): no suitable image found. Did find: /opt/local/var/macports/software/py26-scipy/0.7.1_0+gcc43/opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/scipy/fftpack/_fftpack.so: mach-o, but wrong architecture EDIT 2: I checked the architectures: Yes, sure it is an architecture problem. But when I run: file /opt/local/var/macports/software/py26-scipy/0.7.1_0+gcc43/opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/scipy/fftpack/_fftpack.so I get a result Mach-O 64-bit bundle x86_64. And the Mac OS 10.6 PYTHON is: Mach-O universal binary with 3 architectures /usr/bin/python (for architecture x86_64): Mach-O 64-bit executable x86_64 /usr/bin/python (for architecture i386): Mach-O executable i386 /usr/bin/python (for architecture ppc7400): Mach-O executable ppc I build the XCode project as x86_64.

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• how to find and filter blobs from segment image using python?

  - by Python Team

  Am trying to detect number plate from an image.I have converted an image to grayscale and segment image. Now i have to find and filter blobs from an image and to detect number plate from an image. I will explain what i did.. I jus read segment image license_plate = cv2.imread('license1_segmented.png',cv2.CV_LOAD_IMAGE_COLOR) license_plate_size = (license_plate.shape[1], license_plate.shape[0]) mask = cv2.cv.CreateImage (license_plate_size, 8, 1) cv2.cv.Set(mask, 1) thresh_image_ipl = cv2.cv.CreateImage(license_plate_size, cv2.cv.IPL_DEPTH_8U, 1) cv2.cv.SetData(thresh_image_ipl,thresh_image.tostring(),thresh_image.dtype.itemsize * 1 * thresh_image.shape[1]) min_blob_size = 100 # Blob must be 30 px by 30 px max_blob_size = 10000 threshold = 100 **myblobs = CBlobResult(thresh_image_ipl,mask, threshold, True)** myblobs.filter_blobs(min_blob_size, max_blob_size) blob_count = myblobs.GetNumBlobs() trying to find and filter blobs from an image.But am getting error while passing the parameters to CBlobResult which i highlighted above code.I mentioned the error below what i get while passing. Traceback (most recent call last): File "rectdetect1.py", line 110, in <module> myblobs = CBlobResult(thresh_image_ipl,image_area, threshold, True) File "/home/oomsys/pyblobs-read-only/blobs/BlobResult.py", line 92, in __init__ this = _BlobResult.new_CBlobResult(*args) NotImplementedError: Wrong number or type of arguments for overloaded function 'new_CBlobResult'. Possible C/C++ prototypes are: CBlobResult::CBlobResult() CBlobResult::CBlobResult(IplImage *,IplImage *,int,bool) CBlobResult::CBlobResult(CBlobResult const &) Anyone help me to find out the erros and to solve this and all... Thanks in advance...

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• How could there still not be a mysqldb module for Python 3?

  - by itsadok

  This SO question is now more than two years old. MySQL is an incredibly popular database engine, Python is an incredibly popular programming language, and Python 3 has been officially released two years ago, and was available even before that. What's more, the whole mysqldb module is just a layer translating Python's db-api to MySQL's API. It's not that big of a library. I must be missing something here. How come almost* nobody in the entire open source community has spent the (I'm guessing) two weeks it takes to port this lib? Is Python 3 that unpopular? Is the combination of python and mysql not as common as I assume? Or maybe it's just a lot harder to port mysqldb than I assume? Anyone know the inside story on this? * Now I see that this guy has done it, which takes some of the wind out of my question, but it still seems to little and too late to make sense.

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• For what types of applications is Python a bad choice?

  - by Casey Patton

  I just started learning Python, and I'd like to get some more context on the language. I realize that Python is a slow language relative to C or C++, etc. Thus, Python is probably not the best choice for applications that need to run quickly. Outside of this, it seems like Python is a great general purpose language that is easy to read and write. The available libraries give it a huge amount of functionality. Outside of performance critical applications, where is it a bad choice to use Python (and why)?

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• Why isn't there a python compiler to native machine code?

  - by user2986898

  As I understand, the cause of the speed difference between compiled languages and python is, that the first compiles code all way to the native machine's code, whereas python compiles to python bytecode, to be interpreted by the PVM. I see that this way python codes can be used on multiple operation system (at least in most cases), however I do not understand, why is not there an additional (and optional) compiler for python, which compiles the same way as traditional compilers. This would leave to the programmer to chose, which is more important to them; multiplatform executability or performance on native machine. In general; why are not there any languages which could be behave both as compiled and interpreted?

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• Java dev learning Python: what concepts do I need to wrap my head around?

  - by LRE

  I've run through a few tutorials and written some small projects. I'm right in the middle of a small project now infact. All is going well enough thanks in no small part to Uncle Google (who usually points me to Stackoverflow ;-) Several times in the last few days I've found myself wondering "what am I missing?" - I feel that I'm still thinking in Java as I write in Python. This question over at StackOverflow is full of tips about what resources to read up on for learning Python, but I still feel that I'm a Java dev with a dictionary (pun unintended) to translate into Python. What I really want to do is refactor my head to be able to write Pythonic Python instead of Java disguised as Python (not that I want to loose my Java skills). So, the crux of my question is: what concepts does a Java dev really need to learn to think Pythonic? This includes anything that needs to be un-learnt. ps: I consider language syntax to not be particularly relevant to this question.

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• Java dev learning Python: what concepts do I need to wrap my head around?

  - by LRE

  I've run through a few tutorials and written some small projects. I'm right in the middle of a small project now infact. All is going well enough thanks in no small part to Uncle Google (who usually points me to Stackoverflow ;-) Several times in the last few days I've found myself wondering "what am I missing?" - I feel that I'm still thinking in Java as I write in Python. This question over at StackOverflow is full of tips about what resources to read up on for learning Python, but I still feel that I'm a Java dev with a dictionary (no pun intended) to translate into Python. What I really want to do is refactor my head to be able to write Pythonic Python instead of Java disguised as Python (not that I want to loose my Java skills). So, the crux of my question is: what concepts does a Java dev really need to learn to think Pythonic? This includes anything that needs to be un-learnt. ps: I consider language syntax to not be particularly relevant to this question.

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• Multithreading in WPF

  Multithreading means executing more than one code block at a time .

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• Why is not there a python compiler to native machine's code?

  - by user2986898

  As I understand, the cause of the speed difference between compiled languages and python is, that the first compiles code all way to the native machine's code, whereas python compiles to python bytecode, to be interpreted by the PVM. I see that this way python codes can be used on multiple operation system (at least in most cases), however I do not understand, why is not there an additional (and optional) compiler for python, which compiles the same way as traditional compilers. This would leave to the programmer to chose, which is more important to them; multiplatform executability or performance on native machine. In general; why are not there any languages which could be behave both as compiled and interpreted?

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