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  • Repeatedly querying xml using python

    - by Jack
    I have some xml documents I need to run queries on. I've created some python scripts (using ElementTree) to do this, since I'm vaguely familiar with using it. The way it works is I run the scripts several times with different arguments, depending on what I want to find out. These files can be relatively large (10MB+) and so it takes rather a long time to parse them. On my system, just running: tree = ElementTree.parse(document) takes around 30 seconds, with a subsequent findall query only adding around a second to that. Seeing as the way I'm doing this requires me to repeatedly parse the file, I was wondering if there was some sort of caching mechanism I can use so that the ElementTree.parse computation can be reduced on subsequent queries. I realise the smart thing to do here may be to try and batch as many queries as possible together in the python script, but I was hoping there might be another way. Thanks.

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  • Are Python properties broken?

    - by jacob
    How can it be that this test case import unittest class PropTest(unittest.TestCase): def test(self): class C(): val = 'initial val' def get_p(self): return self.val def set_p(self, prop): if prop == 'legal val': self.val = prop prop=property(fget=get_p, fset=set_p) c=C() self.assertEqual('initial val', c.prop) c.prop='legal val' self.assertEqual('legal val', c.prop) c.prop='illegal val' self.assertNotEqual('illegal val', c.prop) fails as below? Failure Traceback (most recent call last): File "/System/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/unittest.py", line 279, in run testMethod() File "/Users/jacob/aau/admissions_proj/admissions/plain_old_unit_tests.py", line 24, in test self.assertNotEqual('illegal val', c.prop) File "/System/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/unittest.py", line 358, in failIfEqual (msg or '%r == %r' % (first, second)) AssertionError: 'illegal val' == 'illegal val'

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  • The "correct" way to define an exception in Python without PyLint complaining

    - by Evgeny
    I'm trying to define my own (very simple) exception class in Python 2.6, but no matter how I do it I get some warning. First, the simplest way: class MyException(Exception): pass This works, but prints out a warning at runtime: DeprecationWarning: BaseException.message has been deprecated as of Python 2.6 OK, so that's not the way. I then tried: class MyException(Exception): def __init__(self, message): self.message = message This also works, but PyLint reports a warning: W0231: MyException.__init__: __init__ method from base class 'Exception' is not called. So I tried calling it: class MyException(Exception): def __init__(self, message): super(Exception, self).__init__(message) self.message = message This works, too! But now PyLint reports an error: E1003: MyException.__init__: Bad first argument 'Exception' given to super class How the hell do I do such a simple thing without any warnings?

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  • Python namespace in between builtins and global?

    - by Paul
    Hello, As I understand it python has the following outermost namespaces: Builtin - This namespace is global across the entire interpreter and all scripts running within an interpreter instance. Globals - This namespace is global across a module, ie across a single file. I am looking for a namespace in between these two, where I can share a few variables declared within the main script to modules called by it. For example, script.py: import Log from Log import foo from foo log = Log() foo() foo.py: def foo(): log.Log('test') # I want this to refer to the callers log object I want to be able to call script.py multiple times and in each case, expose the module level log object to the foo method. Any ideas if this is possible? It won't be too painful to pass down the log object, but I am working with a large chunk of code that has been ported from Javascript. I also understand that this places constraints on the caller of foo to expose its log object. Thanks, Paul

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  • Monitor and Terminate Python script based on system resource use

    - by Vincent
    What is the "right" or "best" way to monitor the system resources a python script is using and terminate it if the resource use exceeds some predetermined values. In my case memory usage is of concern. I am not asking how to measure the system resource use although I am open to suggestions. As a simple example, let's assume I have a function that finds prime numbers less than some large number and adds them to a list based on some condition. I don't know ahead of time how many prime numbers will satisfy the condition so I what to be sure to terminate the function if I use up to much system memory (8gb lets say). I know that there are ways to monitor the size of python objects. What I don't know is the proper way to monitor the size of the list and exit is to just include a size test in the prime function loop and exit if it exceeds 8gb or if there is an "external" way to monitor and exit.

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  • Recommended Python publish/subscribe/dispatch module ?

    - by Eli Bendersky
    From PyPubSub: Pypubsub provides a simple way for your Python application to decouple its components: parts of your application can publish messages (with or without data) and other parts can subscribe/receive them. This allows message "senders" and message "listeners" to be unaware of each other: one doesn't need to import the other a sender doesn't need to know "who" gets the messages, what the listeners will do with the data, or even if any listener will get the message data. similarly, listeners don't need to worry about where messages come from. This is a great tool for implementing a Model-View-Controller architecture or any similar architecture that promotes decoupling of its components. There seem to be quite a few Python modules for publishing/subscribing floating around the web, from PyPubSub, to PyDispatcher to simple "home-cooked" classes. Can you recommend a module that works well in most cases ? Which modules have you had positive experience with ? Negative ? Thanks in advance

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  • Python/C "defs" file - what is it?

    - by detly
    In the nautilus-python bindings, there is a file "nautilus.defs". It contains stanzas like (define-interface MenuProvider (in-module "Nautilus") (c-name "NautilusMenuProvider") (gtype-id "NAUTILUS_TYPE_MENU_PROVIDER") ) or (define-method get_mime_type (of-object "NautilusFileInfo") (c-name "nautilus_file_info_get_mime_type") (return-type "char*") ) Now I can see what most of these do (eg. that last one means that I can call the method "get_mime_type" on a "FileInfo" object). But I'd like to know: what is this file, exactly (ie. what do I search the web for to find out more info)? Is it a common thing to find in Python/C bindings? What is the format, and where is it documented? What program actually processes it? (So far, I've managed to glean that it gets transformed into a C source file, and it looks a bit like lisp to me.)

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  • Reading a Delphi binary file in Python

    - by Brendan
    I have a file that was written with the following Delphi declaration ... Type Tfulldata = Record dpoints, dloops : integer; dtime, bT, sT, hI, LI : real; tm : real; data : array[1..armax] Of Real; End; ... Var: fh: File Of Tfulldata; I want to analyse the data in the files (many MB in size) using Python if possible - is there an easy way to read in the data and cast the data into Python objects similar in form to the Delphi records? Does anyone know of a library perhaps that does this?

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  • GIS: line_locate_point() in Python

    - by miracle2k
    I'm pretty much a beginner when it comes to GIS, but I think I understand the basics - it doesn't seem to hard. But: All these acronyms and different libraries, GEOS, GDAL, PROJ, PCL, Shaply, OpenGEO, OGR, OGC, OWS and what not, each seemingly depending on any number of others, is slightly overwhelming me. Here's what I would like to do: Given a number of points and a linestring, I want to determine the location on the line closest to a certain point. In other words, what PostGIS's line_locate_point() does: http://postgis.refractions.net/documentation/manual-1.3/ch06.html#line%5Flocate%5Fpoint Except I want do use plain Python. Which library or libraries should I have a look at generally for doing these kinds of spatial calculations in Python, and is there one that specifically supports a line_locate_point() equivalent?

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  • What's a better choice for SQL-backed number crunching - Ruby 1.9, Python 2, Python 3, or PHP 5.3?

    - by Ivan
    Crterias of 'better': fast im math and simple (little of fields, many records) db transactions, convenient to develop/read/extend, flexible, connectible. The task is to use a common web development scripting language to process and calculate long time series and multidimensional surfaces (mostly selectint/inserting sets of floats and dong maths with rhem). The choice is Ruby 1.9, Python 2, Python 3, PHP 5.3, Perl 5.12, JavaScript (node.js). All the data is to be stored in a relational database (due to its heavily multidimensional nature), all the communication with outer world is to be done by means of web services.

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  • Python, how to tell if screen is running.

    - by Joe Spoon
    Hello, I am very new to programming and am trying to run a python code to see if the screen program is running and if it is then to not run the rest of the code. This is what I have and it's not working. !/usr/bin/python import os var1 = os.system ('screen -r /root/screenlog/screen.log') fd = open("/root/screenlog/screen.log") content = fd.readline() while content: if content == "There is no screen to be resumed.": os.system ('/etc/init.d/tunnel.sh') print "The tunnel is now active." else: print "The tunnel is running." fd.close() I know there are probably several things here that don't need to be and quite a few that I'm missing. I will be running this program in cron. Thanks for any help.

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  • Hashing a python method to regenerate output when method is modified

    - by Seth Johnson
    I have a python method that has a deterministic result. It takes a long time to run and generates a large output: def time_consuming_method(): # lots_of_computing_time to come up with the_result return the_result I modify time_consuming_method from time to time, but I would like to avoid having it run again while it's unchanged. [Time_consuming_method only depends on functions that are immutable for the purposes considered here; i.e. it might have functions from Python libraries but not from other pieces of my code that I'd change.] The solution that suggests itself to me is to cache the output and also cache some "hash" of the function. If the hash changes, the function will have been modified, and we have to re-generate the output. Is this possible or a ridiculous idea? If this isn't a terrible idea, is the best implementation to write f = """ def ridiculous_method(): a = # # lots_of_computing_time return a """ , use the hashlib module to compute a hash for f, and use compile or eval to run it as code?

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  • Stack recommendations for small/medium-sized web application in Python

    - by reto
    I'm looking for some recommendations for a python web application. We have some memory restrictions and we try to keep it small and lean. We thought about using WSGI (and a python webserver) and build the rest ourself. We already have a template engine we'd like to use, but we are open for some suggestions regarding the whole request handling (the controller). The application has to run in a single process and the requests have to be processed with multiple threads. We've looked at django, but we are a not sure if it fits into our memory budget. Your feedback is very welcome! Cheers, Reto

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  • Partial Upload With storbinary in python

    - by brian
    I've written some python code to download an image using urllib.urlopen().read() and then upload it to an FTP site using ftplib.FTP().storbinary() but I'm having a problem. Sometimes the image file is only partially uploaded, so I get images with the bottom 20% or so cut off. I've checked the locally downloaded version and I have successfully downloaded the entire image, which leads me to believe that it is a problem with storbinary. I believe I am opening and closing all of the files correctly. Does anyone have any clues as to why I'm getting a partial upload with storbinary? Update: When I run through the commands in the Python shell, the upload completes successfully, I don't know why it would be different from when run as a script...

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  • Python or matplotlib limitation error

    - by Werner
    Hi, I wrote an algorithm using python and matplotlib that generates histograms from some text input data. When the number of data input is approx. greater than 15000, I get in the (append) line of my code: mydata = [] for i in range(len(data)): mydata.append(string.atof(data[i])) the error: Traceback (most recent call last): File "get_histogram_picture.py", line 25, in <module> mydata.append(string.atof(data[i])) File "/usr/lib/python2.6/string.py", line 388, in atof return _float(s) ValueError: invalid literal for float(): -a can it be an error in python ? What is the solution ? Thanks

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  • Removing python and then re-installing on Mac OSX

    - by JudoWill
    I was wondering if anyone had tips on how to completely remove a python installation form Mac OSX (10.5.8) ... including virtual environments and its related binaries. Over the past few years I've completely messed up the installed site-packages, virtual-environments, etc. and the only way I can see to fix it is to just uninstall everything and re-install. I'd like to completely re-do everything and use virtualenv, pip, etc. from the beginning. On the other hand if anyone knows a way to do this without removing python and re-installing I'd be happy to here about it. Thanks, Will

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  • Python: User-Defined Exception That Proves The Rule

    - by bandana
    Python documentations states: Exceptions should typically be derived from the Exception class, either directly or indirectly. the word 'typically' leaves me in an ambiguous state. consider the code: class good(Exception): pass class bad(object): pass Heaven = good() Hell = bad() >>> raise Heaven Traceback (most recent call last): File "<pyshell#163>", line 1, in <module> raise Heaven good >>> raise Hell Traceback (most recent call last): File "<pyshell#171>", line 1, in <module> raise Hell TypeError: exceptions must be classes or instances, not bad so when reading the python docs, should i change 'typically' with ''? what if i have a class hierarchy that has nothing to do with the Exception class, and i want to 'raise' objects belonging to the hierarchy? i can always raise an exception with an argument: raise Exception, Hell This seems slightly awkward to me What's so special about the Exception class, that only its family members can be raised?

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  • Learning Python coming from PHP

    - by Coronatus
    Community wiki so don't vote to close, kthxbai. My dynamic language experience is solely PHP. I want to learn Python now to broaden my career opportunities and just because I like programming. :) When learning Java, I used a site (lost the URL/real name now), something like "Java for PHP developers" that had all on one side of the page the PHP code, and on the other side the Java code to do the same thing. Is there a website like that for Python? Any other recommendations/advice? Thanks Edit: I have no votes left today, but I'll up-vote good answers tomorrow :)

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