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  • Python development with Emacs?

    - by ipeev
    Anybody knows some actual documentation written? I can't find anything good for any of the 2 competing mods. Looks like Emacs is pretty much abandon when it comes to Python and it is a shame as there is no other programmable programming editor that comes close to Emacs.

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  • Play a Sound with Python

    - by Claudiu
    What's the easiest way to play a sound file (.wav) in Python? By easiest I mean both most platform independent and requiring the least dependencies. pygame is certainly an option, but it seems overkill for just sound.

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  • Get current URL in Python

    - by Alex
    How would i get the current URL with Python, I need to grab the current URL so i can check it for query strings e.g requested_url = "URL_HERE" url = urlparse(requested_url) if url[4]: params = dict([part.split('=') for part in url[4].split('&')]) also this is running in Google App Engine

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  • Equivalent of alarm(3600) in Python

    - by knorv
    Starting a Perl script with alarm(3600) will make the script abort if it is still running after one hour (3600 seconds). Assume I want to set an upper bound on the running time of a Python script, what is the easiest way to achieve that?

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  • Making a python script only be able to run once at a time

    - by Richard
    I am looking to make a python script be unique in the sense that it can only run once at a time. For example if I run the script and open another session of the same script a second time and the first session is still running, then the second session will just exit and do nothing. Anyone knows how I could implement this?

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  • best way to implement a deck for a card game in python

    - by matt1024
    What is the best way to store the cards and suits in python so that I can hold a reference to these values in another variable? For example, if I have a list called hand (cards in players hand), how could I hold values that could refer to the names of suits and values of specific cards, and how would these names and values of suits and cards be stored?

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  • Python file - Want to change it to a function or a class

    - by curious2know
    Hello, I have a python program/file that I want to run repeatedly and calculate the averages of some variables over these runs. To do so, I thought it might be convenient to convert this program into a function or a class. One way I can think of is to add a def Main(): line at the top and indent every line manually within it. Is there an easier way? I am using pydev on eclipse. Thanks.

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  • Perl like regex in Python

    - by anansi
    In Perl I would do something like this for taking different fields in a regexp, separating different fields by () and getting them using $ foreach $line (@lines) { $line =~ m/(.*?):([^-]*)-(.*)/; $field_1 = $1 $field_2 = $2 $field_3 = $3 } How could I do something like this in Python?

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  • Python 3.2: How to pass a dictionary into str.format()

    - by Robert Dailey
    I've been reading the Python 3.2 docs about string formatting but it hasn't really helped me with this particular problem. Here is what I'm trying to do: stats = { 'copied': 5, 'skipped': 14 } print( 'Copied: {copied}, Skipped: {skipped}'.format( stats ) ) The above code will not work because the format() call is not reading the dictionary values and using those in place of my format placeholders. How can I modify my code to work with my dictionary?

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  • Invoking a function of library libfprint in Python

    - by Ivanelson
    I need help to call a function(Struct C) that detects the devices, so I'm calling the function this way: from ctypes import * fp = CDLL('./libfprint.so.0') fp.fp_discover_devs.argtypes = None fp.fp_discover_devs.restype = c_char_p ret = fp.fp_discover_devs() print ret # is "0" That is not detected any device, because the return is "0". See the documentation of the function: I'm using Ubuntu and I downloaded the "fprint_demo" and works perfectly. Did you install any package missing? Thanks.

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  • Python: Open() using a variable

    - by nuustik
    Good day, I've ran into a problem with opening a file with randomly generated name in Python 2.6. import random random = random.randint(1,10) localfile = file("%s","wb") % random Then I get an error message about the last line TypeError: unsupported operand type(s) for %: 'file' and 'int' I just couldn't figure this out by myself nor with Google, but there has to be a cure for this, I believe. Thanks.

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  • windows stdbool.h for python module

    - by swasheck
    I found this http://stackoverflow.com/questions/25461/stdbool-h-c as an answer to "where is stdbool.h on windows?" but now need to know what to do with it. I'm actually trying to install the lazyboy python extension on windows and this is the first error that I'm receiving. So, being completely unfamiliar with this, where do I put this header file so that it's seen?

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  • python floating number

    - by zhack
    i am kind of confused why python add some additional decimal number in this case, please help to explain >>> mylist = ["list item 1", 2, 3.14] >>> print mylist ['list item 1', 2, 3.1400000000000001]

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  • The fastest way to resize images from ASP.NET. And it’s (more) supported-ish.

    - by Bertrand Le Roy
    I’ve shown before how to resize images using GDI, which is fairly common but is explicitly unsupported because we know of very real problems that this can cause. Still, many sites still use that method because those problems are fairly rare, and because most people assume it’s the only way to get the job done. Plus, it works in medium trust. More recently, I’ve shown how you can use WPF APIs to do the same thing and get JPEG thumbnails, only 2.5 times faster than GDI (even now that GDI really ultimately uses WIC to read and write images). The boost in performance is great, but it comes at a cost, that you may or may not care about: it won’t work in medium trust. It’s also just as unsupported as the GDI option. What I want to show today is how to use the Windows Imaging Components from ASP.NET APIs directly, without going through WPF. The approach has the great advantage that it’s been tested and proven to scale very well. The WIC team tells me you should be able to call support and get answers if you hit problems. Caveats exist though. First, this is using interop, so until a signed wrapper sits in the GAC, it will require full trust. Second, the APIs have a very strong smell of native code and are definitely not .NET-friendly. And finally, the most serious problem is that older versions of Windows don’t offer MTA support for image decoding. MTA support is only available on Windows 7, Vista and Windows Server 2008. But on 2003 and XP, you’ll only get STA support. that means that the thread safety that we so badly need for server applications is not guaranteed on those operating systems. To make it work, you’d have to spin specialized threads yourself and manage the lifetime of your objects, which is outside the scope of this article. We’ll assume that we’re fine with al this and that we’re running on 7 or 2008 under full trust. Be warned that the code that follows is not simple or very readable. This is definitely not the easiest way to resize an image in .NET. Wrapping native APIs such as WIC in a managed wrapper is never easy, but fortunately we won’t have to: the WIC team already did it for us and released the results under MS-PL. The InteropServices folder, which contains the wrappers we need, is in the WicCop project but I’ve also included it in the sample that you can download from the link at the end of the article. In order to produce a thumbnail, we first have to obtain a decoding frame object that WIC can use. Like with WPF, that object will contain the command to decode a frame from the source image but won’t do the actual decoding until necessary. Getting the frame is done by reading the image bytes through a special WIC stream that you can obtain from a factory object that we’re going to reuse for lots of other tasks: var photo = File.ReadAllBytes(photoPath); var factory = (IWICComponentFactory)new WICImagingFactory(); var inputStream = factory.CreateStream(); inputStream.InitializeFromMemory(photo, (uint)photo.Length); var decoder = factory.CreateDecoderFromStream( inputStream, null, WICDecodeOptions.WICDecodeMetadataCacheOnLoad); var frame = decoder.GetFrame(0); We can read the dimensions of the frame using the following (somewhat ugly) code: uint width, height; frame.GetSize(out width, out height); This enables us to compute the dimensions of the thumbnail, as I’ve shown in previous articles. We now need to prepare the output stream for the thumbnail. WIC requires a special kind of stream, IStream (not implemented by System.IO.Stream) and doesn’t directlyunderstand .NET streams. It does provide a number of implementations but not exactly what we need here. We need to output to memory because we’ll want to persist the same bytes to the response stream and to a local file for caching. The memory-bound version of IStream requires a fixed-length buffer but we won’t know the length of the buffer before we resize. To solve that problem, I’ve built a derived class from MemoryStream that also implements IStream. The implementation is not very complicated, it just delegates the IStream methods to the base class, but it involves some native pointer manipulation. Once we have a stream, we need to build the encoder for the output format, which could be anything that WIC supports. For web thumbnails, our only reasonable options are PNG and JPEG. I explored PNG because it’s a lossless format, and because WIC does support PNG compression. That compression is not very efficient though and JPEG offers good quality with much smaller file sizes. On the web, it matters. I found the best PNG compression option (adaptive) to give files that are about twice as big as 100%-quality JPEG (an absurd setting), 4.5 times bigger than 95%-quality JPEG and 7 times larger than 85%-quality JPEG, which is more than acceptable quality. As a consequence, we’ll use JPEG. The JPEG encoder can be prepared as follows: var encoder = factory.CreateEncoder( Consts.GUID_ContainerFormatJpeg, null); encoder.Initialize(outputStream, WICBitmapEncoderCacheOption.WICBitmapEncoderNoCache); The next operation is to create the output frame: IWICBitmapFrameEncode outputFrame; var arg = new IPropertyBag2[1]; encoder.CreateNewFrame(out outputFrame, arg); Notice that we are passing in a property bag. This is where we’re going to specify our only parameter for encoding, the JPEG quality setting: var propBag = arg[0]; var propertyBagOption = new PROPBAG2[1]; propertyBagOption[0].pstrName = "ImageQuality"; propBag.Write(1, propertyBagOption, new object[] { 0.85F }); outputFrame.Initialize(propBag); We can then set the resolution for the thumbnail to be 96, something we weren’t able to do with WPF and had to hack around: outputFrame.SetResolution(96, 96); Next, we set the size of the output frame and create a scaler from the input frame and the computed dimensions of the target thumbnail: outputFrame.SetSize(thumbWidth, thumbHeight); var scaler = factory.CreateBitmapScaler(); scaler.Initialize(frame, thumbWidth, thumbHeight, WICBitmapInterpolationMode.WICBitmapInterpolationModeFant); The scaler is using the Fant method, which I think is the best looking one even if it seems a little softer than cubic (zoomed here to better show the defects): Cubic Fant Linear Nearest neighbor We can write the source image to the output frame through the scaler: outputFrame.WriteSource(scaler, new WICRect { X = 0, Y = 0, Width = (int)thumbWidth, Height = (int)thumbHeight }); And finally we commit the pipeline that we built and get the byte array for the thumbnail out of our memory stream: outputFrame.Commit(); encoder.Commit(); var outputArray = outputStream.ToArray(); outputStream.Close(); That byte array can then be sent to the output stream and to the cache file. Once we’ve gone through this exercise, it’s only natural to wonder whether it was worth the trouble. I ran this method, as well as GDI and WPF resizing over thirty twelve megapixel images for JPEG qualities between 70% and 100% and measured the file size and time to resize. Here are the results: Size of resized images   Time to resize thirty 12 megapixel images Not much to see on the size graph: sizes from WPF and WIC are equivalent, which is hardly surprising as WPF calls into WIC. There is just an anomaly for 75% for WPF that I noted in my previous article and that disappears when using WIC directly. But overall, using WPF or WIC over GDI represents a slight win in file size. The time to resize is more interesting. WPF and WIC get similar times although WIC seems to always be a little faster. Not surprising considering WPF is using WIC. The margin of error on this results is probably fairly close to the time difference. As we already knew, the time to resize does not depend on the quality level, only the size does. This means that the only decision you have to make here is size versus visual quality. This third approach to server-side image resizing on ASP.NET seems to converge on the fastest possible one. We have marginally better performance than WPF, but with some additional peace of mind that this approach is sanctioned for server-side usage by the Windows Imaging team. It still doesn’t work in medium trust. That is a problem and shows the way for future server-friendly managed wrappers around WIC. The sample code for this article can be downloaded from: http://weblogs.asp.net/blogs/bleroy/Samples/WicResize.zip The benchmark code can be found here (you’ll need to add your own images to the Images directory and then add those to the project, with content and copy if newer in the properties of the files in the solution explorer): http://weblogs.asp.net/blogs/bleroy/Samples/WicWpfGdiImageResizeBenchmark.zip WIC tools can be downloaded from: http://code.msdn.microsoft.com/wictools To conclude, here are some of the resized thumbnails at 85% fant:

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  • Oracle Enterprise Content Management 11gR1 Patch Set 3 Released

    - by michelle.huff
    We're pleased to announce an updated patch set for Oracle Enterprise Content Management 11gR1 PS3 (11.1.1.4.0). Patch Set 3 (PS3) supports additional platforms and applications, and adds several new features to the products. Highlights include: Content Server (repository for UCM, URM & I/PM): New security capabilities, file store provider updates. Desktop Integration Suite: Windows 7 64-bit and Office 2010 (32 & 64-bit) support and new "Recent Content Items" menu. Universal Content Management (UCM): Site Studio Manager for Site Studio for External Applications, new template management options and ability to run Site Studio & Site Studio for External Applications 11g components on Content Server 10gR3. Imaging and Process Management (I/PM): Now certified with Oracle Business Process Management (BPM) 11g, Oracle Single Sign On (OSSO) 10g and Oracle Access Manager (OAM) 10g, export search results to Microsoft Excel. ECM Adapter for PeopleSoft: Support for UCM 11g Managed Attachments (support for 10g released earlier in 2010) and certification with PeopleTools 8.50. Information Rights Management (IRM): Desktop support for Microsoft Office 2010, Adobe Reader X and Microsoft SharePoint 2010. Customer Webcast We'll be covering this new release in our Quarterly Customer Update Webcast scheduled for this week, January 19/20, 2011. Register today. More Information Downloads now available on Oracle Technology Network (OTN) - it will be available via eDelivery soon. Read the updated ECM documentation for 11.1.1.4.0 Review the ECM 11.1.1.4.0 Upgrade & Patch Guides See the Release Notes

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  • New .NET Library for Accessing the Survey Monkey API

    - by Ben Emmett
    I’ve used Survey Monkey’s API for a while, and though it’s pretty powerful, there’s a lot of boilerplate each time it’s used in a new project, and the json it returns needs a bunch of processing to be able to use the raw information. So I’ve finally got around to releasing a .NET library you can use to consume the API more easily. The main advantages are: Only ever deal with strongly-typed .NET objects, making everything much more robust and a lot faster to get going Automatically handles things like rate-limiting and paging through results Uses combinations of endpoints to get all relevant data for you, and processes raw response data to map responses to questions To start, either install it using NuGet with PM> Install-Package SurveyMonkeyApi (easier option), or grab the source from https://github.com/bcemmett/SurveyMonkeyApi if you prefer to build it yourself. You’ll also need to have signed up for a developer account with Survey Monkey, and have both your API key and an OAuth token. A simple usage would be something like: string apiKey = "KEY"; string token = "TOKEN"; var sm = new SurveyMonkeyApi(apiKey, token); List<Survey> surveys = sm.GetSurveyList(); The surveys object is now a list of surveys with all the information available from the /surveys/get_survey_list API endpoint, including the title, id, date it was created and last modified, language, number of questions / responses, and relevant urls. If there are more than 1000 surveys in your account, the library pages through the results for you, making multiple requests to get a complete list of surveys. All the filtering available in the API can be controlled using .NET objects. For example you might only want surveys created in the last year and containing “pineapple” in the title: var settings = new GetSurveyListSettings { Title = "pineapple", StartDate = DateTime.Now.AddYears(-1) }; List<Survey> surveys = sm.GetSurveyList(settings); By default, whenever optional fields can be requested with a response, they will all be fetched for you. You can change this behaviour if for some reason you explicitly don’t want the information, using var settings = new GetSurveyListSettings { OptionalData = new GetSurveyListSettingsOptionalData { DateCreated = false, AnalysisUrl = false } }; Survey Monkey’s 7 read-only endpoints are supported, and the other 4 which make modifications to data might be supported in the future. The endpoints are: Endpoint Method Object returned /surveys/get_survey_list GetSurveyList() List<Survey> /surveys/get_survey_details GetSurveyDetails() Survey /surveys/get_collector_list GetCollectorList() List<Collector> /surveys/get_respondent_list GetRespondentList() List<Respondent> /surveys/get_responses GetResponses() List<Response> /surveys/get_response_counts GetResponseCounts() Collector /user/get_user_details GetUserDetails() UserDetails /batch/create_flow Not supported Not supported /batch/send_flow Not supported Not supported /templates/get_template_list Not supported Not supported /collectors/create_collector Not supported Not supported The hierarchy of objects the library can return is Survey List<Page> List<Question> QuestionType List<Answer> List<Item> List<Collector> List<Response> Respondent List<ResponseQuestion> List<ResponseAnswer> Each of these classes has properties which map directly to the names of properties returned by the API itself (though using PascalCasing which is more natural for .NET, rather than the snake_casing used by SurveyMonkey). For most users, Survey Monkey imposes a rate limit of 2 requests per second, so by default the library leaves at least 500ms between requests. You can request higher limits from them, so if you want to change the delay between requests just use a different constructor: var sm = new SurveyMonkeyApi(apiKey, token, 200); //200ms delay = 5 reqs per sec There’s a separate cap of 1000 requests per day for each API key, which the library doesn’t currently enforce, so if you think you’ll be in danger of exceeding that you’ll need to handle it yourself for now.  To help, you can see how many requests the current instance of the SurveyMonkeyApi object has made by reading its RequestsMade property. If the library encounters any errors, including communicating with the API, it will throw a SurveyMonkeyException, so be sure to handle that sensibly any time you use it to make calls. Finally, if you have a survey (or list of surveys) obtained using GetSurveyList(), the library can automatically fill in all available information using sm.FillMissingSurveyInformation(surveys); For each survey in the list, it uses the other endpoints to fill in the missing information about the survey’s question structure, respondents, and responses. This results in at least 5 API calls being made per survey, so be careful before passing it a large list. It also joins up the raw response information to the survey’s question structure, so that for each question in a respondent’s set of replies, you can access a ProcessedAnswer object. For example, a response to a dropdown question (from the /surveys/get_responses endpoint) might be represented in json as { "answers": [ { "row": "9384627365", } ], "question_id": "615487516" } Separately, the question’s structure (from the /surveys/get_survey_details endpoint) might have several possible answers, one of which might look like { "text": "Fourth item in dropdown list", "visible": true, "position": 4, "type": "row", "answer_id": "9384627365" } The library understands how this mapping works, and uses that to give you the following ProcessedAnswer object, which first describes the family and type of question, and secondly gives you the respondent’s answers as they relate to the question. Survey Monkey has many different question types, with 11 distinct data structures, each of which are supported by the library. If you have suggestions or spot any bugs, let me know in the comments, or even better submit a pull request .

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  • RuntimeError: maximum recursion depth exceeded while calling a Python object

    - by Bilal Basharat
    this error arises when i try to run the following test case which is written in models.py of my django app named 'administration' : from django.test import Client, TestCase from django.core import mail class ClientTest( TestCase ): fixtures = [ 'testdata.json' ] def test_get_register( self ): response = self.client.get( '/accounts/register/', {} ) self.assertEqual( response.status_code, 200 ) the error arises at this line specifically: response = self.client.get( '/accounts/register/', {} ) my django version is 1.2.1 and python 2.6 and satchmo version is 0.9.2-pre hg-unknown. I code in windows platform(xp sp2). The command to run test case is: python manage.py test administration the complete error log is as follow: site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 121, in by_host site = by_host(host=host[4:], id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 124, in by_host site = by_host(host = 'www.%s' % host, id_only=id_only) File "build\bdist.win32\egg\threaded_multihost\sites.py", line 101, in by_host site = Site.objects.get(domain=host) File "C:\django\django\db\models\manager.py", line 132, in get return self.get_query_set().get(*args, **kwargs) File "C:\django\django\db\models\query.py", line 336, in get num = len(clone) File "C:\django\django\db\models\query.py", line 81, in __len__ self._result_cache = list(self.iterator()) File "C:\django\django\db\models\query.py", line 269, in iterator for row in compiler.results_iter(): File "C:\django\django\db\models\sql\compiler.py", line 672, in results_iter for rows in self.execute_sql(MULTI): File "C:\django\django\db\models\sql\compiler.py", line 717, in execute_sql sql, params = self.as_sql() File "C:\django\django\db\models\sql\compiler.py", line 65, in as_sql where, w_params = self.query.where.as_sql(qn=qn, connection=self.connection) File "C:\django\django\db\models\sql\where.py", line 91, in as_sql sql, params = child.as_sql(qn=qn, connection=connection) File "C:\django\django\db\models\sql\where.py", line 94, in as_sql sql, params = self.make_atom(child, qn, connection) File "C:\django\django\db\models\sql\where.py", line 141, in make_atom lvalue, params = lvalue.process(lookup_type, params_or_value, connection) File "C:\django\django\db\models\sql\where.py", line 312, in process connection=connection, prepared=True) File "C:\django\django\db\models\fields\subclassing.py", line 53, in inner return func(*args, **kwargs) File "C:\django\django\db\models\fields\subclassing.py", line 53, in inner return func(*args, **kwargs) File "C:\django\django\db\models\fields\__init__.py", line 323, in get_db_prep _lookup return [self.get_db_prep_value(value, connection=connection, prepared=prepar ed)] File "C:\django\django\db\models\fields\subclassing.py", line 53, in inner return func(*args, **kwargs) File "C:\django\django\db\models\fields\subclassing.py", line 53, in inner return func(*args, **kwargs) RuntimeError: maximum recursion depth exceeded while calling a Python object ---------------------------------------------------------------------- Ran 7 tests in 48.453s FAILED (errors=1) Destroying test database 'default'...

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  • How to find version of WIC Windows Imaging Component

    - by anwar
    How to find version of WIC Windows Imaging Component. Is it shipped with OS like XP, Vista, etc. I am using WPF application having TIFF image, which is having some issues ie the image is showing black with certain height; someone on the forum suggested that it might be the issue with WIC version 1. Can anybody please tell me how to find the Version of WIC. Is it a known bug with WIC ver 1 having issue with Large tiff files, if so then please provide me the Microsoft confirmation link for this Bug. Regards

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  • I have a very long and repetitive python path, where do I look to correct this?

    - by ninja123
    I know it is probably not necessary to paste the whole path, but just for the record I have done so below. Whenever I run a python command, it takes a long time to load this path I suppose. I have checked in .bash_profile and only have these two lines: export PATH=/Users/username/bin:/opt/local/Library/Frameworks/Python.framework/Versions/2.5/bin:/opt/local/bin:/opt/local/sbin:/opt/local/apache2/bin:$PATH export PYTHONPATH=/opt/local/lib/python2.5/site-packages/ And my python path as outputed by Django's debug is: Python path : ['/Users/username/Sites/videocluster/eggs/ipython-0.10-py2.5.egg', '/Users/username/Sites/videocluster/eggs/South-0.6.1-py2.5.egg', '/Users/username/Sites/videocluster/eggs/django_markitup-0.5.2-py2.5.egg', '/Users/username/Sites/videocluster/eggs/DateTime-2.12.0-py2.5.egg', '/Users/username/Sites/videocluster/eggs/Markdown-2.0.3-py2.5.egg', '/Users/username/Sites/videocluster/eggs/PIL-1.1.7-py2.5-macosx-10.5-i386.egg', '/Users/username/Sites/videocluster/eggs/djangorecipe-0.20-py2.5.egg', '/Users/username/Sites/videocluster/eggs/zc.recipe.egg-1.2.3b2-py2.5.egg', '/Users/username/Sites/videocluster/eggs/zc.buildout-1.5.0b2-py2.5.egg', '/Users/username/Sites/videocluster/eggs/pytz-2010h-py2.5.egg', '/Users/username/Sites/videocluster/eggs/zope.interface-3.6.1-py2.5-macosx-10.5-i386.egg', '/Users/username/Sites/videocluster/eggs/setuptools-0.6c11-py2.5.egg', '/Users/username/Sites/videocluster/parts/django', '/Users/username/Sites/videocluster', '/Users/username/Sites/videocluster/bin', '/opt/local/lib/python2.5/site-packages/setuptools_git-0.3.3-py2.5.egg', '/opt/local/lib/python2.5/site-packages/pysqlite-2.5.5-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/CouchDB-0.5-py2.5.egg', '/opt/local/lib/python2.5/site-packages/httplib2-0.4.0-py2.5.egg', '/opt/local/lib/python2.5/site-packages/PyYAML-3.08-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/simple_db_migrate-1.2.8-py2.5.egg', '/opt/local/lib/python2.5/site-packages/PyDispatcher-2.0.1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/pyOpenSSL-0.9-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/greenlet-0.2-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/Supay-0.0.2-py2.5.egg', '/opt/local/lib/python2.5/site-packages/configobj-4.6.0-py2.5.egg', '/opt/local/lib/python2.5/site-packages/Fabric-0.9b1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/fudge-0.9.3-py2.5.egg', '/opt/local/lib/python2.5/site-packages/pydelicious-0.5.3-py2.5.egg', '/opt/local/lib/python2.5/site-packages/feedparser-4.1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/github_cli-0.2.5.2-py2.5.egg', '/opt/local/lib/python2.5/site-packages/simplejson-2.0.9-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', ......(repeating)....... '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', 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'/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', ......(repeating)....... '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/gtk-2.0'] Someone, please tell me where I can go to correct this. Thanks

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  • Python: Improving long cumulative sum

    - by Bo102010
    I have a program that operates on a large set of experimental data. The data is stored as a list of objects that are instances of a class with the following attributes: time_point - the time of the sample cluster - the name of the cluster of nodes from which the sample was taken code - the name of the node from which the sample was taken qty1 = the value of the sample for the first quantity qty2 = the value of the sample for the second quantity I need to derive some values from the data set, grouped in three ways - once for the sample as a whole, once for each cluster of nodes, and once for each node. The values I need to derive depend on the (time sorted) cumulative sums of qty1 and qty2: the maximum value of the element-wise sum of the cumulative sums of qty1 and qty2, the time point at which that maximum value occurred, and the values of qty1 and qty2 at that time point. I came up with the following solution: dataset.sort(key=operator.attrgetter('time_point')) # For the whole set sys_qty1 = 0 sys_qty2 = 0 sys_combo = 0 sys_max = 0 # For the cluster grouping cluster_qty1 = defaultdict(int) cluster_qty2 = defaultdict(int) cluster_combo = defaultdict(int) cluster_max = defaultdict(int) cluster_peak = defaultdict(int) # For the node grouping node_qty1 = defaultdict(int) node_qty2 = defaultdict(int) node_combo = defaultdict(int) node_max = defaultdict(int) node_peak = defaultdict(int) for t in dataset: # For the whole system ###################################################### sys_qty1 += t.qty1 sys_qty2 += t.qty2 sys_combo = sys_qty1 + sys_qty2 if sys_combo > sys_max: sys_max = sys_combo # The Peak class is to record the time point and the cumulative quantities system_peak = Peak(time_point=t.time_point, qty1=sys_qty1, qty2=sys_qty2) # For the cluster grouping ################################################## cluster_qty1[t.cluster] += t.qty1 cluster_qty2[t.cluster] += t.qty2 cluster_combo[t.cluster] = cluster_qty1[t.cluster] + cluster_qty2[t.cluster] if cluster_combo[t.cluster] > cluster_max[t.cluster]: cluster_max[t.cluster] = cluster_combo[t.cluster] cluster_peak[t.cluster] = Peak(time_point=t.time_point, qty1=cluster_qty1[t.cluster], qty2=cluster_qty2[t.cluster]) # For the node grouping ##################################################### node_qty1[t.node] += t.qty1 node_qty2[t.node] += t.qty2 node_combo[t.node] = node_qty1[t.node] + node_qty2[t.node] if node_combo[t.node] > node_max[t.node]: node_max[t.node] = node_combo[t.node] node_peak[t.node] = Peak(time_point=t.time_point, qty1=node_qty1[t.node], qty2=node_qty2[t.node]) This produces the correct output, but I'm wondering if it can be made more readable/Pythonic, and/or faster/more scalable. The above is attractive in that it only loops through the (large) dataset once, but unattractive in that I've essentially copied/pasted three copies of the same algorithm. To avoid the copy/paste issues of the above, I tried this also: def find_peaks(level, dataset): def grouping(object, attr_name): if attr_name == 'system': return attr_name else: return object.__dict__[attrname] cuml_qty1 = defaultdict(int) cuml_qty2 = defaultdict(int) cuml_combo = defaultdict(int) level_max = defaultdict(int) level_peak = defaultdict(int) for t in dataset: cuml_qty1[grouping(t, level)] += t.qty1 cuml_qty2[grouping(t, level)] += t.qty2 cuml_combo[grouping(t, level)] = (cuml_qty1[grouping(t, level)] + cuml_qty2[grouping(t, level)]) if cuml_combo[grouping(t, level)] > level_max[grouping(t, level)]: level_max[grouping(t, level)] = cuml_combo[grouping(t, level)] level_peak[grouping(t, level)] = Peak(time_point=t.time_point, qty1=node_qty1[grouping(t, level)], qty2=node_qty2[grouping(t, level)]) return level_peak system_peak = find_peaks('system', dataset) cluster_peak = find_peaks('cluster', dataset) node_peak = find_peaks('node', dataset) For the (non-grouped) system-level calculations, I also came up with this, which is pretty: dataset.sort(key=operator.attrgetter('time_point')) def cuml_sum(seq): rseq = [] t = 0 for i in seq: t += i rseq.append(t) return rseq time_get = operator.attrgetter('time_point') q1_get = operator.attrgetter('qty1') q2_get = operator.attrgetter('qty2') timeline = [time_get(t) for t in dataset] cuml_qty1 = cuml_sum([q1_get(t) for t in dataset]) cuml_qty2 = cuml_sum([q2_get(t) for t in dataset]) cuml_combo = [q1 + q2 for q1, q2 in zip(cuml_qty1, cuml_qty2)] combo_max = max(cuml_combo) time_max = timeline.index(combo_max) q1_at_max = cuml_qty1.index(time_max) q2_at_max = cuml_qty2.index(time_max) However, despite this version's cool use of list comprehensions and zip(), it loops through the dataset three times just for the system-level calculations, and I can't think of a good way to do the cluster-level and node-level calaculations without doing something slow like: timeline = defaultdict(int) cuml_qty1 = defaultdict(int) #...etc. for c in cluster_list: timeline[c] = [time_get(t) for t in dataset if t.cluster == c] cuml_qty1[c] = [q1_get(t) for t in dataset if t.cluster == c] #...etc. Does anyone here at Stack Overflow have suggestions for improvements? The first snippet above runs well for my initial dataset (on the order of a million records), but later datasets will have more records and clusters/nodes, so scalability is a concern. This is my first non-trivial use of Python, and I want to make sure I'm taking proper advantage of the language (this is replacing a very convoluted set of SQL queries, and earlier versions of the Python version were essentially very ineffecient straight transalations of what that did). I don't normally do much programming, so I may be missing something elementary. Many thanks!

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