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  • wxPython ListCtrl Column Ignores Specific Fields

    - by g.d.d.c
    I'm rewriting this post to clarify some things and provide a full class definition for the Virtual List I'm having trouble with. The class is defined like so: from wx import ListCtrl, LC_REPORT, LC_VIRTUAL, LC_HRULES, LC_VRULES, \ EVT_LIST_COL_CLICK, EVT_LIST_CACHE_HINT, EVT_LIST_COL_RIGHT_CLICK, \ ImageList, IMAGE_LIST_SMALL, Menu, MenuItem, NewId, ITEM_CHECK, Frame, \ EVT_MENU class VirtualList(ListCtrl): def __init__(self, parent, datasource = None, style = LC_REPORT | LC_VIRTUAL | LC_HRULES | LC_VRULES): ListCtrl.__init__(self, parent, style = style) self.columns = [] self.il = ImageList(16, 16) self.Bind(EVT_LIST_CACHE_HINT, self.CheckCache) self.Bind(EVT_LIST_COL_CLICK, self.OnSort) if datasource is not None: self.datasource = datasource self.Bind(EVT_LIST_COL_RIGHT_CLICK, self.ShowAvailableColumns) self.datasource.list = self self.Populate() def SetDatasource(self, datasource): self.datasource = datasource def CheckCache(self, event): self.datasource.UpdateCache(event.GetCacheFrom(), event.GetCacheTo()) def OnGetItemText(self, item, col): return self.datasource.GetItem(item, self.columns[col]) def OnGetItemImage(self, item): return self.datasource.GetImg(item) def OnSort(self, event): self.datasource.SortByColumn(self.columns[event.Column]) self.Refresh() def UpdateCount(self): self.SetItemCount(self.datasource.GetCount()) def Populate(self): self.UpdateCount() self.datasource.MakeImgList(self.il) self.SetImageList(self.il, IMAGE_LIST_SMALL) self.ShowColumns() def ShowColumns(self): for col, (text, visible) in enumerate(self.datasource.GetColumnHeaders()): if visible: self.columns.append(text) self.InsertColumn(col, text, width = -2) def Filter(self, filter): self.datasource.Filter(filter) self.UpdateCount() self.Refresh() def ShowAvailableColumns(self, evt): colMenu = Menu() self.id2item = {} for idx, (text, visible) in enumerate(self.datasource.columns): id = NewId() self.id2item[id] = (idx, visible, text) item = MenuItem(colMenu, id, text, kind = ITEM_CHECK) colMenu.AppendItem(item) EVT_MENU(colMenu, id, self.ColumnToggle) item.Check(visible) Frame(self, -1).PopupMenu(colMenu) colMenu.Destroy() def ColumnToggle(self, evt): toggled = self.id2item[evt.GetId()] if toggled[1]: idx = self.columns.index(toggled[2]) self.datasource.columns[toggled[0]] = (self.datasource.columns[toggled[0]][0], False) self.DeleteColumn(idx) self.columns.pop(idx) else: self.datasource.columns[toggled[0]] = (self.datasource.columns[toggled[0]][0], True) idx = self.datasource.GetColumnHeaders().index((toggled[2], True)) self.columns.insert(idx, toggled[2]) self.InsertColumn(idx, toggled[2], width = -2) self.datasource.SaveColumns() I've added functions that allow for Column Toggling which facilitate my description of the issue I'm encountering. On the 3rd instance of this class in my application the Column at Index 1 will not display String values. Integer values are displayed properly. If I add print statements to my OnGetItemText method the values show up in my console properly. This behavior is not present in the first two instances of this class, and my class does not contain any type checking code with respect to value display. It was suggested by someone on the wxPython users' group that I create a standalone sample that demonstrates this issue if I can. I'm working on that, but have not yet had time to create a sample that does not rely on database access. Any suggestions or advice would be most appreciated. I'm tearing my hair out on this one.

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  • Math on Django Templates

    - by Leandro Abilio
    Here's another question about Django. I have this code: views.py cursor = connections['cdr'].cursor() calls = cursor.execute("SELECT * FROM cdr where calldate > '%s'" %(start_date)) result = [SQLRow(cursor, r) for r in cursor.fetchall()] return render_to_response("cdr_user.html", {'calls':result }, context_instance=RequestContext(request)) I use a MySQL query like that because the database is not part of a django project. My cdr table has a field called duration, I need to divide that by 60 and multiply the result by a float number like 0.16. Is there a way to multiply this values using the template tags? If not, is there a good way to do it in my views? My template is like this: {% for call in calls %} <tr class="{% cycle 'odd' 'even' %}"><h3> <td valign="middle" align="center"><h3>{{ call.calldate }}</h3></td> <td valign="middle" align="center"><h3>{{ call.disposition }}</h3></td> <td valign="middle" align="center"><h3>{{ call.dst }}</h3></td> <td valign="middle" align="center"><h3>{{ call.billsec }}</h3></td> <td valign="middle" align="center">{{ (call.billsec/60)*0.16 }}</td></h3> </tr> {% endfor %} The last is where I need to show the value, I know the "(call.billsec/60)*0.16" is impossible to be done there. I wrote it just to represent what I need to show.

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  • Scipy sparse... arrays?

    - by spitzanator
    Hey, folks. So, I'm doing some Kmeans classification using numpy arrays that are quite sparse-- lots and lots of zeroes. I figured that I'd use scipy's 'sparse' package to reduce the storage overhead, but I'm a little confused about how to create arrays, not matrices. I've gone through this tutorial on how to create sparse matrices: http://www.scipy.org/SciPy_Tutorial#head-c60163f2fd2bab79edd94be43682414f18b90df7 To mimic an array, I just create a 1xN matrix, but as you may guess, Asp.dot(Bsp) doesn't quite work because you can't multiply two 1xN matrices. I'd have to transpose each array to Nx1, and that's pretty lame, since I'd be doing it for every dot-product calculation. Next up, I tried to create an NxN matrix where column 1 == row 1 (such that you can multiply two matrices and just take the top-left corner as the dot product), but that turned out to be really inefficient. I'd love to use scipy's sparse package as a magic replacement for numpy's array(), but as yet, I'm not really sure what to do. Any advice? Thank you very much!

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  • Django admin urls return INVALID REQUEST! - Django

    - by RadiantHex
    Hi folks, my admin urls are sat behind a prefix by doing the following. 1# (r'^admin/', include(admin.site.urls)), is placed within urls_core.py 2# (r'^api/', include('project.urls_core')), is palced within urls.py All admin URLs work fine except app indexes. If I go to any URL such as: /api/admin/core/ /api/admin/registration/ /api/admin/users/ /api/admin/filters/ I receive 'INVALID REQUEST' as my response. Status code is 200 (OK) though. I have never received this error message before. Does anyone have a clue? Thanks guys!

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  • Matplotlib canvas drawing

    - by Morgoth
    Let's say I define a few functions to do certain matplotlib actions, such as def dostuff(ax): ax.scatter([0.],[0.]) Now if I launch ipython, I can load these functions and start a new figure: In [1]: import matplotlib.pyplot as mpl In [2]: fig = mpl.figure() In [3]: ax = fig.add_subplot(1,1,1) In [4]: run functions # run the file with the above defined function If I now call dostuff, then the figure does not refresh: In [6]: dostuff(ax) I have to then explicitly run: In [7]: fig.canvas.draw() To get the canvas to draw. Now I can modify dostuff to be def dostuff(ax): ax.scatter([0.],[0.]) ax.get_figure().canvas.draw() This re-draws the canvas automatically. But now, say that I have the following code: def dostuff1(ax): ax.scatter([0.],[0.]) ax.get_figure().canvas.draw() def dostuff2(ax): ax.scatter([1.],[1.]) ax.get_figure().canvas.draw() def doboth(ax): dostuff1(ax) dostuff2(ax) ax.get_figure().canvas.draw() I can call each of these functions, and the canvas will be redrawn, but in the case of doboth(), it will get redrawn multiple times. My question is: how could I code this, such that the canvas.draw() only gets called once? In the above example it won't change much, but in more complex cases with tens of functions that can be called individually or grouped, the repeated drawing is much more obvious, and it would be nice to be able to avoid it. I thought of using decorators, but it doesn't look as though it would be simple. Any ideas?

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  • Asynchronous daemon processing / ORM interaction with Django

    - by perrierism
    I'm looking for a way to do asynchronous data processing with a daemon that uses Django ORM. However, the ORM isn't thread-safe; it's not thread-safe to try to retrieve / modify django objects from within threads. So I'm wondering what the correct way to achieve asynchrony is? Basically what I need to accomplish is taking a list of users in the db, querying a third party api and then making updates to user-profile rows for those users. As a daemon or background process. Doing this in series per user is easy, but it takes too long to be at all scalable. If the daemon is retrieving and updating the users through the ORM, how do I achieve processing 10-20 users at a time? I would use a standard threading / queue system for this but you can't thread interactions like models.User.objects.get(id=foo) ... Django itself is an asynchronous processing system which makes asynchronous ORM calls(?) for each request, so there should be a way to do it? I haven't found anything in the documentation so far. Cheers

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  • How to localize an app on Google App Engine?

    - by Petri Pennanen
    What options are there for localizing an app on Google App Engine? How do you do it using Webapp, Django, web2py or [insert framework here]. 1. Readable URLs and entity key names Readable URLs are good for usability and search engine optimization (Stack Overflow is a good example on how to do it). On Google App Engine, key based queries are recommended for performance reasons. It follows that it is good practice to use the entity key name in the URL, so that the entity can be fetched from the datastore as quickly as possible. Currently I use the function below to create key names: import re import unicodedata def urlify(unicode_string): """Translates latin1 unicode strings to url friendly ASCII. Converts accented latin1 characters to their non-accented ASCII counterparts, converts to lowercase, converts spaces to hyphens and removes all characters that are not alphanumeric ASCII. Arguments unicode_string: Unicode encoded string. Returns String consisting of alphanumeric (ASCII) characters and hyphens. """ str = unicodedata.normalize('NFKD', unicode_string).encode('ASCII', 'ignore') str = re.sub('[^\w\s-]', '', str).strip().lower() return re.sub('[-\s]+', '-', str) This works fine for English and Swedish, however it will fail for non-western scripts and remove letters from some western ones (like Norwegian and Danish with their œ and ø). Can anyone suggest a method that works with more languages? 2. Translating templates Does Django internationalization and localization work on Google App Engine? Are there any extra steps that must be performed? Is it possible to use Django i18n and l10n for Django templates while using Webapp? The Jinja2 template language provides integration with Babel. How well does this work, in your experience? What options are avilable for your chosen template language? 3. Translated datastore content When serving content from (or storing it to) the datastore: Is there a better way than getting the *accept_language* parameter from the HTTP request and matching this with a language property that you have set with each entity?

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  • How to display total record count against models in django admin

    - by Rog
    Is there a neat way to make the record/object count for a model appear on the main model list in the admin module? I have found techniques for showing counts of related objects within sets in the list_display page (and I can see the total in the pagination section at the bottom of the same), but haven't come across a neat way to show the record count at the model list level.

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  • Skip sanitization for videos in html5lib

    - by pug
    I am using a wmd-editor in django, much like this one in which I am typing. I would like to allow the users to embed videos in it. For that I am using the Markdown video extension here. The problem is that I am also sanitizing user input using html5lib sanitization and it doesn't allow object tags which are required to embed the videos. One solution could be to check the input for urls of well-known video sites and skip the sanitization in those cases. Is there a better solution?

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  • How to integrate a Ipython console in a PyQT application

    - by user1800689
    I am developing PyQt software for my lab. In this software, I am loading different kind of RAW and analyzed data from a mySQL database (usually in arrays). I would like to integrate an Iython console in a Widget, so that I could interact easily with these data. I had some difficulties with Ipython 0.13 to do this. Here is what I already have (The whole code is very long, so I just show the part containing the widget, the Ipython console and the corresponding import line, if you need more, just tell me): ##I load everything useful to my application, including the following line from IPython.frontend.qt.console.qtconsoleapp import IPythonQtConsoleApp ##then is my whole software ##here is a class containing the Graphical User Interface elements. A button call the following function. self.Shell_Widget is the widget containing the Ipython console, self.MainWindow is the application mainwindow def EmbeddedIpython(self): """ This function should launch an Ipython console """ self.Shell_Widget = QtGui.QDockWidget(self.MainWindow) #Widget creation self.MainWindow.addDockWidget(4,self.Shell_Widget) self.Shell_Widget.setMinimumSize(400,420) console = IPythonQtConsoleApp() #Console Creation console.initialize() console.start() self.Shell_Widget.show() So, as wanted, an Ipython console is launched, and seems to work, but I can not access the whole application variables ,arrays etc... I think the Ipython console is launched independently from my software, but here is my limit in programming... Does someone know how to launch Ipython within my application? Maybe a missing parameter, or a different way to integrate Ipython. for information, this doesn't work: Embedding IPython Qt console in a PyQt application Thank you for your help!!

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  • Why is numpy's einsum faster than numpy's built in functions?

    - by Ophion
    Lets start with three arrays of dtype=np.double. Timings are performed on a intel CPU using numpy 1.7.1 compiled with icc and linked to intel's mkl. A AMD cpu with numpy 1.6.1 compiled with gcc without mkl was also used to verify the timings. Please note the timings scale nearly linearly with system size and are not due to the small overhead incurred in the numpy functions if statements these difference will show up in microseconds not milliseconds: arr_1D=np.arange(500,dtype=np.double) large_arr_1D=np.arange(100000,dtype=np.double) arr_2D=np.arange(500**2,dtype=np.double).reshape(500,500) arr_3D=np.arange(500**3,dtype=np.double).reshape(500,500,500) First lets look at the np.sum function: np.all(np.sum(arr_3D)==np.einsum('ijk->',arr_3D)) True %timeit np.sum(arr_3D) 10 loops, best of 3: 142 ms per loop %timeit np.einsum('ijk->', arr_3D) 10 loops, best of 3: 70.2 ms per loop Powers: np.allclose(arr_3D*arr_3D*arr_3D,np.einsum('ijk,ijk,ijk->ijk',arr_3D,arr_3D,arr_3D)) True %timeit arr_3D*arr_3D*arr_3D 1 loops, best of 3: 1.32 s per loop %timeit np.einsum('ijk,ijk,ijk->ijk', arr_3D, arr_3D, arr_3D) 1 loops, best of 3: 694 ms per loop Outer product: np.all(np.outer(arr_1D,arr_1D)==np.einsum('i,k->ik',arr_1D,arr_1D)) True %timeit np.outer(arr_1D, arr_1D) 1000 loops, best of 3: 411 us per loop %timeit np.einsum('i,k->ik', arr_1D, arr_1D) 1000 loops, best of 3: 245 us per loop All of the above are twice as fast with np.einsum. These should be apples to apples comparisons as everything is specifically of dtype=np.double. I would expect the speed up in an operation like this: np.allclose(np.sum(arr_2D*arr_3D),np.einsum('ij,oij->',arr_2D,arr_3D)) True %timeit np.sum(arr_2D*arr_3D) 1 loops, best of 3: 813 ms per loop %timeit np.einsum('ij,oij->', arr_2D, arr_3D) 10 loops, best of 3: 85.1 ms per loop Einsum seems to be at least twice as fast for np.inner, np.outer, np.kron, and np.sum regardless of axes selection. The primary exception being np.dot as it calls DGEMM from a BLAS library. So why is np.einsum faster that other numpy functions that are equivalent? The DGEMM case for completeness: np.allclose(np.dot(arr_2D,arr_2D),np.einsum('ij,jk',arr_2D,arr_2D)) True %timeit np.einsum('ij,jk',arr_2D,arr_2D) 10 loops, best of 3: 56.1 ms per loop %timeit np.dot(arr_2D,arr_2D) 100 loops, best of 3: 5.17 ms per loop The leading theory is from @sebergs comment that np.einsum can make use of SSE2, but numpy's ufuncs will not until numpy 1.8 (see the change log). I believe this is the correct answer, but have not been able to confirm it. Some limited proof can be found by changing the dtype of input array and observing speed difference and the fact that not everyone observes the same trends in timings.

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  • How to make a model instance read-only after saving it once?

    - by Ryszard Szopa
    One of the functionalities in a Django project I am writing is sending a newsletter. I have a model, Newsletter and a function, send_newsletter, which I have registered to listen to Newsletter's post_save signal. When the newsletter object is saved via the admin interface, send_newsletter checks if created is True, and if yes it actually sends the mail. However, it doesn't make much sense to edit a newsletter that has already been sent, for the obvious reasons. Is there a way of making the Newsletter object read-only once it has been saved? Edit: I know I can override the save method of the object to raise an error or do nothin if the object existed. However, I don't see the point of doing that. As for the former, I don't know where to catch that error and how to communicate the user the fact that the object wasn't saved. As for the latter, giving the user false feedback (the admin interface saying that the save succeded) doesn't seem like a Good Thing. What I really want is allow the user to use the Admin interface to write the newsletter and send it, and then browse the newsletters that have already been sent. I would like the admin interface to show the data for sent newsletters in an non-editable input box, without the "Save" button. Alternatively I would like the "Save" button to be inactive.

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  • Should we have a database independent SQL like query language in Django? [closed]

    - by Yugal Jindle
    Note : I know we have Django ORM already that keeps things database independent and converts to the database specific SQL queries. Once things starts getting complicated it is preferred to write raw SQL queries for better efficiency. When you write raw sql queries your code gets trapped with the database you are using. I also understand its important to use the full power of your database that can-not be achieved with the django orm alone. My Question : Until I use any database specific feature, why should one be trapped with the database. For instance : We have a query with multiple joins and we decided to write a raw sql query. Now, that makes my website postgres specific. Even when I have not used any postgres specific feature. I feel there should be some fake sql language which can translate to any database's sql query. Even Django's ORM can be built over it. So, that if you go out of ORM but not database specific - you can still remain database independent. I asked the same question to Jacob Kaplan Moss (In person) : He advised me to stay with the database that I like and endure its whole power, to which I agree. But my point was not that we should be database independent. My point is we should be database independent until we use a database specific feature. Please explain, why should be there a fake sql layer over the actual sql ?

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  • Looking for a good example usage of get_or _create in Django views and raising a Form error

    - by Rik Wade
    I am looking for a good example of how to achieve the following: I would like to use get_or_create to check whether an object already exists in my database. If it does not, then it will be created. If it does exist, then I will not create the new object, but need to raise a form error to inform the user that they need to enter different data (for example, a different username). The view contains: p, created = Person.objects.get_or_create( email = registration_form.cleaned_data['email'], defaults = { 'creationDate': datetime.datetime.now(), 'dateOfBirth': datetime.date(1970,1,1) }) So 'p' will contain the existing Person if it exists, or the new Person if not. I would like to act on the boolean value in 'created' in order to skip over saving the Person and re-display the registration_form and raise an appropriate form validation error. The alternative I'm considering is doing a check in a custom Form validation method to see whether a Person exists with the data in the provided 'email' field, and just raising a validation error.

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  • Best practise when using httplib2.Http() object

    - by tomaz
    I'm writing a pythonic web API wrapper with a class like this import httplib2 import urllib class apiWrapper: def __init__(self): self.http = httplib2.Http() def _http(self, url, method, dict): ''' Im using this wrapper arround the http object all the time inside the class ''' params = urllib.urlencode(dict) response, content = self.http.request(url,params,method) as you can see I'm using the _http() method to simplify the interaction with the httplib2.Http() object. This method is called quite often inside the class and I'm wondering what's the best way to interact with this object: create the object in the __init__ and then reuse it when the _http() method is called (as shown in the code above) or create the httplib2.Http() object inside the method for every call of the _http() method (as shown in the code sample below) import httplib2 import urllib class apiWrapper: def __init__(self): def _http(self, url, method, dict): '''Im using this wrapper arround the http object all the time inside the class''' http = httplib2.Http() params = urllib.urlencode(dict) response, content = http.request(url,params,method)

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  • Underscore characters disappears

    - by pocoa
    I'm using jEdit 4.3 pre 16. As I've mentioned on the title, when I'm typing, sometimes underscore characters disappears. I tried to change fonts, line highlighting etc. but it didn't work. Is there any solution of this problem?

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  • How to customize pickle for django model objects

    - by muudscope
    I need to pickle a complex object that refers to django model objects. The standard pickling process stores a denormalized object in the pickle. So if the object changes on the database between pickling and unpickling, the model is now out of date. (I know this is true with in-memory objects too, but the pickling is a convenient time to address it.) So what I'd like is a way to not pickle the full django model object. Instead just store its class and id, and re-fetch the contents from the database on load. Can I specify a custom pickle method for this class? I'm happy to write a wrapper class around the django model to handle the lazy fetching from db, if there's a way to do the pickling.

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  • Getting "Comment post not allowed (400)" when using Django Comments

    - by kfordham281
    I'm going through a Django book and I seem to be stuck. The code base used in the book is .96 and I'm using 1.0 for my Django install. The portion I'm stuck at is related to Django comments (django.contrib.comments). When I submit my comments I get "Comment post not allowed (400) Why: Missing content_type or object_pk field". I've found the Django documentation to be a bit lacking in this area and I'm hoping to get some help. The comment box is displayed just fine, it's when I submit the comment that I get the above error (or security warning as it truly appears). My call to the comment form: {% render_comment_form for bookmarks.sharedbookmark shared_bookmark.id %} My form.html code: {% if user.is_authenticated %} <form action="/comments/post/" method="post"> <p><label>Post a comment:</label><br /> <textarea name="comment" rows="10" cols="60"></textarea></p> <input type="hidden" name="options" value="{{ options }}" /> <input type="hidden" name="target" value="{{ target }}" /> <input type="hidden" name="gonzo" value="{{ hash }}" /> <input type="submit" name="post" value="submit comment" /> </form> {% else %} <p>Please <a href="/login/">log in</a> to post comments.</p> {% endif %} Any help would be much appreciated. My view as requested: def bookmark_page(request, bookmark_id): shared_bookmark = get_object_or_404( SharedBookmark, id=bookmark_id ) variables = RequestContext(request, { 'shared_bookmark': shared_bookmark }) return render_to_response('bookmark_page.html', variables)

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  • Uploading file from file object with PyCurl

    - by Tom
    I'm attempting to upload a file like this: import pycurl c = pycurl.Curl() values = [ ("name", "tom"), ("image", (pycurl.FORM_FILE, "tom.png")) ] c.setopt(c.URL, "http://upload.com/submit") c.setopt(c.HTTPPOST, values) c.perform() c.close() This works fine. However, this only works if the file is local. If I was to fetch the image such that: import urllib2 resp = urllib2.urlopen("http://upload.com/people/tom.png") How would I pass resp.fp as a file object instead of writing it to a file and passing the filename? Is this possible?

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  • GQL select by UserProperty

    - by fmsf
    Hey I have this code but it doesn't work because it is expecting a string. How can I make it work? class Atable(BaseModel): owner = db.UserProperty() (...) --------- // -------------- query = "SELECT * FROM Atable WHERE owner=", users.get_current_user() results = db.GqlQuery(query) How can I fix that search? Thanks :) I've started with the appengine database yesterday so be gentle :)

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  • Unbuffered subprocess output (last line missing)

    - by plok
    I must be overlooking something terribly obvious. I need to execute a C program, display its output in real time and finally parse its last line, which should be straightforward as the last line printed is always the same. process = subprocess.Popen(args, shell = True, stdout = subprocess.PIPE, stderr = subprocess.PIPE) # None indicates that the process hasn't terminated yet. while process.poll() is None: # Always save the last non-emtpy line that was output by the child # process, as it will write an empty line when closing its stdout. out = process.stdout.readline() if out: last_non_empty_line = out if verbose: sys.stdout.write(out) sys.stdout.flush() # Parse 'out' here... Once in a while, however, the last line is not printed. The default value for Popens's bufsize is 0, so it is supposed to be unbuffered. I have also tried, to no avail, adding fflush(stdout) to the C code just before exiting, but it seems that there is absolutely no need to flush a stream before exiting a program. Ideas anyone?

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  • Is it possible to calculate distance on GeoDjango in a SELECT statement?

    - by alex
    I am using MYSQL. I have a table with 1 column, a Point field. I want to SELECT all rows that have a point with a distance less than 50 meters of my given point. Simple enough, right? Below is how it's done in RAW SQL. But of course, I want to use GeoDjango to do this. cursor.execute("SELECT * FROM project_location WHERE\ (GLength(LineStringFromWKB(LineString(asbinary(utm), asbinary(PointFromWKB(point(%s, %s)))))) < 50)\

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  • class, dict, self, init, args ?

    - by kame
    class attrdict(dict): def __init__(self, *args, **kwargs): dict.__init__(self, *args, **kwargs) self.__dict__ = self a = attrdict(x=1, y=2) print a.x, a.y b = attrdict() b.x, b.y = 1, 2 print b.x, b.y Could somebody explain the first four lines in words? I read about classes and methods. But here it seems very confusing.

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