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  • Efficiently generate numpy array from list comprehension output?

    - by shootingstars
    Is there a more efficient way than using numpy.asarray() to generate an array from output in the form of a list? This appears to be copying everything in memory, which doesn't seem like it would be that efficient with very large arrays. (Updated) Example: import numpy as np a1 = np.array([1,2,3,4,5,6,7,8,9,10]) # pretend this has thousands of elements a2 = np.array([3,7,8]) results = np.asarray([np.amax(np.where(a1 > element)) for element in a2])

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  • Passing around an ElementTree

    - by PulpFiction
    Hello. In my program, I need to make use of an ElementTree object in various functions in my program. More specifically, I am doing this: tree = etree.parse('somefile.xml') I am passing this tree around in my program. I was wondering whether this is a good approach, or can I do this: Create a global tree (I come from a C++ background and I know global is bad) Create the tree again wherever required. Or is my approach ok?

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  • Fastest method in merging of the two: dicts vs lists

    - by tipu
    I'm doing some indexing and memory is sufficient but CPU isn't. So I have one huge dictionary and then a smaller dictionary I'm merging into the bigger one: big_dict = {"the" : {"1" : 1, "2" : 1, "3" : 1, "4" : 1, "5" : 1}} smaller_dict = {"the" : {"6" : 1, "7" : 1}} #after merging resulting_dict = {"the" : {"1" : 1, "2" : 1, "3" : 1, "4" : 1, "5" : 1, "6" : 1, "7" : 1}} My question is for the values in both dicts, should I use a dict (as displayed above) or list (as displayed below) when my priority is to use as much memory as possible to gain the most out of my CPU? For clarification, using a list would look like: big_dict = {"the" : [1, 2, 3, 4, 5]} smaller_dict = {"the" : [6,7]} #after merging resulting_dict = {"the" : [1, 2, 3, 4, 5, 6, 7]} Side note: The reason I'm using a dict nested into a dict rather than a set nested in a dict is because JSON won't let me do json.dumps because a set isn't key/value pairs, it's (as far as the JSON library is concerned) {"a", "series", "of", "keys"} Also, after choosing between using dict to a list, how would I go about implementing the most efficient, in terms of CPU, method of merging them? I appreciate the help.

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  • KindError: Property r must be an instance of SecondModel, why ?

    - by zjm1126
    class FirstModel(db.Model): p = db.StringProperty() r=db.ReferenceProperty(SecondModel) class SecondModel(db.Model): r = db.ReferenceProperty(FirstModel) class sss(webapp.RequestHandler): def get(self): a=FirstModel() a.p='sss' a.put() b=SecondModel() b.r=a b.put() a.r=b a.put() self.response.out.write(str(b.r.p)) the error is : Traceback (most recent call last): File "D:\Program Files\Google\google_appengine\google\appengine\ext\webapp\__init__.py", line 511, in __call__ handler.get(*groups) File "D:\zjm_code\helloworld\a.py", line 158, in get a.r=b File "D:\Program Files\Google\google_appengine\google\appengine\ext\db\__init__.py", line 3009, in __set__ value = self.validate(value) File "D:\Program Files\Google\google_appengine\google\appengine\ext\db\__init__.py", line 3048, in validate (self.name, self.reference_class.kind())) KindError: Property r must be an instance of SecondModel thanks

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  • Read data from specific memory address

    - by rapid
    Hello. How can I read (and put into new variable) data stored at specific memory address? For instance I know that: <nfqueue.queue; proxy of <Swig Object of type 'queue *' at 0xabd2b00> > And I want to have data stored at 0xabd2b00 in new variable so that I can work and use all functionalities of the object. Let's assume that I don't have access to the original variable that created this object.

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  • Detect a tag in hook-script SVN

    - by Mark
    Is there a way that I can detect a tag/branch in SVN? Could I find out where the commits destination is? I want to check that all externals are set to a specific version of the folder they are pointing to, I don't want to prevent commits to a tag with this script. I am writing the script with the c-pyhton bindings.

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  • regex numeric data processing: match a series of numbers greater than X

    - by Mu Mind
    Say I have some data like this: number_stream = [0,0,0,7,8,0,0,2,5,6,10,11,10,13,5,0,1,0,...] I want to process it looking for "bumps" that meet a certain pattern. Imagine I have my own customized regex language for working on numbers, where [[ =5 ]] represents any number = 5. I want to capture this case: ([[ >=5 ]]{3,})[[ <3 ]]{2,} In other words, I want to begin capturing any time I look ahead and see 3 or more values = 5 in a row, and stop capturing any time I look ahead and see 2+ values < 3. So my output should be: >>> stream_processor.process(number_stream) [[5,6,10,11,10,13,5],...] Note that the first 7,8,... is ignored because it's not long enough, and that the capture ends before the 0,1,0.... I'd also like a stream_processor object I can incrementally pass more data into in subsequent process calls, and return captured chunks as they're completed. I've written some code to do it, but it was hideous and state-machiney, and I can't help feeling like I'm missing something obvious. Any ideas to do this cleanly?

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  • How can I optimize this code?

    - by loop0
    Hi, I'm developing a logger daemon to squid to grab the logs on a mongodb database. But I'm experiencing too much cpu utilization. How can I optimize this code? from sys import stdin from pymongo import Connection connection = Connection() db = connection.squid logs = db.logs buffer = [] a = 'timestamp' b = 'resp_time' c = 'src_ip' d = 'cache_status' e = 'reply_size' f = 'req_method' g = 'req_url' h = 'username' i = 'dst_ip' j = 'mime_type' L = 'L' while True: l = stdin.readline() if l[0] == L: l = l[1:].split() buffer.append({ a: float(l[0]), b: int(l[1]), c: l[2], d: l[3], e: int(l[4]), f: l[5], g: l[6], h: l[7], i: l[8], j: l[9] } ) if len(buffer) == 1000: logs.insert(buffer) buffer = [] if not l: break connection.disconnect()

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  • Can UML be used to model a Functional program?

    - by iestyn
    More specifically, how do you model a functional program, or one developed using the Functional Style (without classes) using a diagram, and not textual representation, is it at all possible and could someone please direct me towards the nearest application that would do this (open source, of free as in beer, if you please)

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  • Why does cloning the django inline formsets result to forms with similar ids and names?

    - by user1289167
    In my project I use django inline formsets. I got the jquery to clone the formsets but unfortunately the cloned forms have the same names and ids and so data entered in the last one overwrites the data from the first form. What could I be doing wrong? Here is the script: <script type="text/javascript">> function cloneMore(selector, type) { var newElement = $(selector).clone(true); var total = $('#id_' + type + '-TOTAL_FORMS').val(); newElement.find(':input').each(function() { var name = $(this).attr('name').replace('-' + (total-1) + '-','-' + total + '-'); var id = 'id_' + name; $(this).attr({'name': name, 'id': id}).val('').removeAttr('checked'); }); newElement.find('label').each(function() { var newFor = $(this).attr('for').replace('-' + (total-1) + '-','-' + total + '-'); $(this).attr('for', newFor); }); total++; $('#id_' + type + '-TOTAL_FORMS').val(total); $(selector).after(newElement); } </script>

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  • How do I set up gaeunit 2.0a with my Django app?

    - by J. Frankenstein
    I am trying to set up Google App Engine unit testing for my web application. I downloaded the file from here. I followed the instructions in the readmen by copying the directory gaeunit into the directory with the rest of my apps and registering 'gaeunit' in settings.py. This didn't seem sufficient to actually get things going. I also stuck url('^test(.*)', include('gaeunit.urls')) into my urls.py file. When I go to the url http://localhost:8000/test, I get the following error: [Errno 2] No such file or directory: '../../gaeunit/test' Any suggestions? I'm not sure what I've done wrong. Thanks!

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  • Reverse Search Best Practices?

    - by edub
    I'm making an app that has a need for reverse searches. By this, I mean that users of the app will enter search parameters and save them; then, when any new objects get entered onto the system, if they match the existing search parameters that a user has saved, a notification will be sent, etc. I am having a hard time finding solutions for this type of problem. I am using Django and thinking of building the searches and pickling them using Q objects as outlined here: http://www.djangozen.com/blog/the-power-of-q The way I see it, when a new object is entered into the database, I will have to load every single saved query from the db and somehow run it against this one new object to see if it would match that search query... This doesn't seem ideal - has anyone tackled such a problem before?

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  • Best way to test class methods without running __init__

    - by KenFar
    I've got a simple class that gets most of its arguments via init, which also runs a variety of private methods that do most of the work. Output is available either through access to object variables or public methods. Here's the problem - I'd like my unittest framework to directly call the private methods called by init with different data - without going through init. What's the best way to do this? So far, I've been refactoring these classes so that init does less and data is passed in separately. This makes testing easy, but I think the usability of the class suffers a little.

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  • [Django] One single page to create a Parent object and its associated child objects

    - by ahmoo
    Hi all, This is my very first post on this awesome site, from which I have been finding answers to a handful of challenging questions. Kudos to the community! I am new to the Django world, so am hoping to find help from some Django experts here. Thanks in advance. Item model: class Item(models.Model): name = models.CharField(max_length=50) ItemImage model: class ItemImage(models.Model): image = models.ImageField(upload_to=get_unique_filename) item = models.ForeignKey(Item, related_name='images') As you can tell from the model definitions above, every Item object can have many ItemImage objects. My requirements are as followings: A single web page that allows users to create a new Item while uploading the images associated with the Item. The Item and the ItemImages objects should be created in the database all together, when the "Save" button on the page is clicked. I have created a variable in a custom config file, called NUMBER_OF_IMAGES_PER_ITEM. It is based on this variable that the system generates the number of image fields per item. Questions: What should the forms and the template be like? Can ModelForm be used to achieve the requirements? For the view function, what do I need to watch out other than making sure to save Item before ItemImage objects?

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  • Is this the right way of handling command line arguments?

    - by shadyabhi
    ask_username = True ask_password = True ask_message = True ask_number = True def Usage(): print '\t-h, --help: View help' print '\t-u, --username: Username' print '\t-p, --password: Password' print '\t-n, --number: numbber to send the sms' print '\t-m, --message: Message to send' sys.exit(1) opts, args = getopt(sys.argv[1:], 'u:p:m:n:h',["username=","password=","message=","number=","help"]) print opts, args for o,v in opts: if o in ("-h", "--help"): Usage() elif o in ("-u", "--username"): username = v ask_username = False elif o in ("-p", "--password"): passwd = v ask_password = False elif o in ("-m", "--message"): message = v ask_message = False elif o in ("-n", "--number"): number = v ask_number = False #Credentials taken here if ask_username: username = raw_input("Enter USERNAME: ") if ask_password: passwd = getpass() if ask_message: message = raw_input("Enter Message: ") if ask_number: number = raw_input("Enter Mobile number: ") I dont think it is, because I am using 4 objects just for checking if command line argument was provided... Guide me with the best way of doing it..

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  • any faster alternative??

    - by kaushik
    have file data of format 3.343445 1 3.54564 1 4.345535 1 2.453454 1 and so on upto 1000 lines and i have number given such as a=2.44443 for the given file i need to find the row number of the numbers in file which is most close to the given number "a" how can i do this i am presently doing by loading whole file into list and comparing each element and finding the closest one any other better faster method?

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  • Make qwidget in new window in PyQt4

    - by matt
    I'm trying to make a class that extends qwidget, that pops up a new window, I must be missing something fundamental, class NewQuery(QtGui.QWidget): def __init__(self, parent): QtGui.QMainWindow.__init__(self,parent) self.setWindowTitle('Add New Query') grid = QtGui.QGridLayout() label = QtGui.QLabel('blah') grid.addWidget(label,0,0) self.setLayout(grid) self.resize(300,200) when a new instance of this is made in main window's class, and show() called, the content is overlaid on the main window, how can I make it display in a new window?

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  • Parse items from text file

    - by chris
    I have a text file that includes data inside {[]} tags. What would be the suggested way to parse that data so I can just use the data inside the tags? Example text file would look like this: 'this is a bunch of text that is not {[really]} useful in any {[way]}. I need to {[get]} some items {[from]} it.' I would like to end up with 'really', 'way', 'get', 'from' in a list. I guess I could use split to do it.. but seems like there might be a better way out there. I have seen a ton parsing libraries, is there one that would be perfect for what I want to do?

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  • printing only the last 8 entries in a .csv file

    - by user2341103
    I have an input csv file as below,I want to print only the most recent 8 entries..can anyone provide inputs on how to do this? INPUT:- trend.csv ['2013-06-25 20:01', '10'] ['2013-06-25 20:06', '9'] ['2013-06-25 20:06', '8'] ['2013-06-26 20:06', '7'] ['2013-06-26 20:06', '6'] ['2013-06-26 20:06', '5'] ['2013-06-26 20:06', '4'] ['2013-06-26 20:06', '3'] ['2013-06-26 20:06', '2'] ['2013-06-26 20:08', '1'] OUTPUT:- ['2013-06-25 20:06', '8'] ['2013-06-26 20:06', '7'] ['2013-06-26 20:06', '6'] ['2013-06-26 20:06', '5'] ['2013-06-26 20:06', '4'] ['2013-06-26 20:06', '3'] ['2013-06-26 20:06', '2'] ['2013-06-26 20:08', '1'] import csv #Now read the recent 8 entries and print cr = csv.reader(open("trend.csv","rb")) for row in cr: #print only the recent most 8 entries print row

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  • "IOError [Errno 13] Permisson denied" when copy a file on Windows

    - by wong2
    Hi, I wrote a program that will copy a file called a.exe to C:/Windows/, then I pack it to exe with PyInstaller, and rename the exe file to a.exe. When I run the exe file, it output IOError [Errno 13] Permisson denied: 'C:/Windows/a.exe', but the file a.exe was copied to the directory C:/Windows. Then I ran it as the Administrator, it happened again... At first, I copy the file with shututil.copy, then I wrote a function myself(open a.exe, create a.exe under C:/Windows, read a.exe 's content and write to C:/Windows/a.exe, close all), but it doesn't help...Any ideas?

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