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• PyQt: Get the position of QGraphicsWidgets in a QGraphicsGridLayout

  - by Chris Phillips

  I have a fairly simple PyQt application in which I'm placing instances of a QGraphicsWidget in a QGraphicsGridLayout and want to connect the widgets with lines drawn with a QGraphicsPath. Unfortunately, no matter what I try, I always get (0, 0) back as the position for both the start and end widgets. I'm constructing the graph with a recursive function that adds widgets to the scene and layout. Once the recursive function is complete, the layout is added to a new widget, which is added to the scene to show everything. The edges are added to the scene as widgets are created. How do I get a non-zero position of any of the widgets in the grid layout?

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• Good IronPython Book?

  - by George

  Hello guys, Does anyone know a good IronPython book?

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• Problem trying to achieve a join using the `comments` contrib in Django

  - by NiKo

  Hi, Django rookie here. I have this model, comments are managed with the django_comments contrib: class Fortune(models.Model): author = models.CharField(max_length=45, blank=False) title = models.CharField(max_length=200, blank=False) slug = models.SlugField(_('slug'), db_index=True, max_length=255, unique_for_date='pub_date') content = models.TextField(blank=False) pub_date = models.DateTimeField(_('published date'), db_index=True, default=datetime.now()) votes = models.IntegerField(default=0) comments = generic.GenericRelation( Comment, content_type_field='content_type', object_id_field='object_pk' ) I want to retrieve Fortune objects with a supplementary nb_comments value for each, counting their respectve number of comments ; I try this query: >>> Fortune.objects.annotate(nb_comments=models.Count('comments')) From the shell: >>> from django_fortunes.models import Fortune >>> from django.db.models import Count >>> Fortune.objects.annotate(nb_comments=Count('comments')) [<Fortune: My first fortune, from NiKo>, <Fortune: Another One, from Dude>, <Fortune: A funny one, from NiKo>] >>> from django.db import connection >>> connection.queries.pop() {'time': '0.000', 'sql': u'SELECT "django_fortunes_fortune"."id", "django_fortunes_fortune"."author", "django_fortunes_fortune"."title", "django_fortunes_fortune"."slug", "django_fortunes_fortune"."content", "django_fortunes_fortune"."pub_date", "django_fortunes_fortune"."votes", COUNT("django_comments"."id") AS "nb_comments" FROM "django_fortunes_fortune" LEFT OUTER JOIN "django_comments" ON ("django_fortunes_fortune"."id" = "django_comments"."object_pk") GROUP BY "django_fortunes_fortune"."id", "django_fortunes_fortune"."author", "django_fortunes_fortune"."title", "django_fortunes_fortune"."slug", "django_fortunes_fortune"."content", "django_fortunes_fortune"."pub_date", "django_fortunes_fortune"."votes" LIMIT 21'} Below is the properly formatted sql query: SELECT "django_fortunes_fortune"."id", "django_fortunes_fortune"."author", "django_fortunes_fortune"."title", "django_fortunes_fortune"."slug", "django_fortunes_fortune"."content", "django_fortunes_fortune"."pub_date", "django_fortunes_fortune"."votes", COUNT("django_comments"."id") AS "nb_comments" FROM "django_fortunes_fortune" LEFT OUTER JOIN "django_comments" ON ("django_fortunes_fortune"."id" = "django_comments"."object_pk") GROUP BY "django_fortunes_fortune"."id", "django_fortunes_fortune"."author", "django_fortunes_fortune"."title", "django_fortunes_fortune"."slug", "django_fortunes_fortune"."content", "django_fortunes_fortune"."pub_date", "django_fortunes_fortune"."votes" LIMIT 21 Can you spot the problem? Django won't LEFT JOIN the django_comments table with the content_type data (which contains a reference to the fortune one). This is the kind of query I'd like to be able to generate using the ORM: SELECT "django_fortunes_fortune"."id", "django_fortunes_fortune"."author", "django_fortunes_fortune"."title", COUNT("django_comments"."id") AS "nb_comments" FROM "django_fortunes_fortune" LEFT OUTER JOIN "django_comments" ON ("django_fortunes_fortune"."id" = "django_comments"."object_pk") LEFT OUTER JOIN "django_content_type" ON ("django_comments"."content_type_id" = "django_content_type"."id") GROUP BY "django_fortunes_fortune"."id", "django_fortunes_fortune"."author", "django_fortunes_fortune"."title", "django_fortunes_fortune"."slug", "django_fortunes_fortune"."content", "django_fortunes_fortune"."pub_date", "django_fortunes_fortune"."votes" LIMIT 21 But I don't manage to do it, so help from Django veterans would be much appreciated :) Hint: I'm using Django 1.2-DEV Thanks in advance for your help.

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• Django TestCase testing order

  - by ziang

  If there are several methods in the test class, I found that the order to execute is alphabetical. But I want to customize the order of execution. How to define the execution order? For example: testTestA will be loaded first than testTestB. class Test(TestCase): def setUp(self): ... def testTestB(self): #test code def testTestA(self): #test code

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• PyML 0.7.2 - How to prevent accuracy from dropping after storing/loading a classifier?

  - by Michael Aaron Safyan

  This is a followup from "Save PyML.classifiers.multi.OneAgainstRest(SVM()) object?". The solution to that question was close, but not quite right, (the SparseDataSet is broken, so attempting to save/load with that dataset container type will fail, no matter what. Also, PyML is inconsistent in terms of whether labels should be numbers or strings... it turns out that the oneAgainstRest function is actually not good enough, because the labels need to be strings and simultaneously convertible to floats, because there are places where it is assumed to be a string and elsewhere converted to float) and so after a great deal of hacking and such I was finally able to figure out a way to save and load my multi-class classifier without it blowing up with an error.... however, although it is no longer giving me an error message, it is still not quite right as the accuracy of the classifier drops significantly when it is saved and then reloaded (so I'm still missing a piece of the puzzle). I am currently using the following custom mutli-class classifier for training, saving, and loading: class SVM(object): def __init__(self,features_or_filename,labels=None,kernel=None): if isinstance(features_or_filename,str): filename=features_or_filename; if labels!=None: raise ValueError,"Labels must be None if loading from a file."; with open(os.path.join(filename,"uniquelabels.list"),"rb") as uniquelabelsfile: self.uniquelabels=sorted(list(set(pickle.load(uniquelabelsfile)))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; self.classifiers=[]; for classidx, classname in enumerate(self.uniquelabels): self.classifiers.append(PyML.classifiers.svm.loadSVM(os.path.join(filename,str(classname)+".pyml.svm"),datasetClass = PyML.VectorDataSet)); else: features=features_or_filename; if labels==None: raise ValueError,"Labels must not be None when training."; self.uniquelabels=sorted(list(set(labels))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; points = [[float(xij) for xij in xi] for xi in features]; self.classifiers=[PyML.SVM(kernel) for label in self.uniquelabels]; for i in xrange(len(self.uniquelabels)): currentlabel=self.uniquelabels[i]; currentlabels=['+1' if k==currentlabel else '-1' for k in labels]; currentdataset=PyML.VectorDataSet(points,L=currentlabels,positiveClass='+1'); self.classifiers[i].train(currentdataset,saveSpace=False); def accuracy(self,pts,labels): logger=logging.getLogger("ml"); correct=0; total=0; classindexes=[self.labeltoindex[label] for label in labels]; h=self.hypotheses(pts); for idx in xrange(len(pts)): if h[idx]==classindexes[idx]: logger.info("RIGHT: Actual \"%s\" == Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])); correct+=1; else: logger.info("WRONG: Actual \"%s\" != Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])) total+=1; return float(correct)/float(total); def prediction(self,pt): h=self.hypothesis(pt); if h!=None: return self.uniquelabels[h]; return h; def predictions(self,pts): h=self.hypotheses(self,pts); return [self.uniquelabels[x] if x!=None else None for x in h]; def hypothesis(self,pt): bestvalue=None; bestclass=None; dataset=PyML.VectorDataSet([pt]); for classidx, classifier in enumerate(self.classifiers): val=classifier.decisionFunc(dataset,0); if (bestvalue==None) or (val>bestvalue): bestvalue=val; bestclass=classidx; return bestclass; def hypotheses(self,pts): bestvalues=[None for pt in pts]; bestclasses=[None for pt in pts]; dataset=PyML.VectorDataSet(pts); for classidx, classifier in enumerate(self.classifiers): for ptidx in xrange(len(pts)): val=classifier.decisionFunc(dataset,ptidx); if (bestvalues[ptidx]==None) or (val>bestvalues[ptidx]): bestvalues[ptidx]=val; bestclasses[ptidx]=classidx; return bestclasses; def save(self,filename): if not os.path.exists(filename): os.makedirs(filename); with open(os.path.join(filename,"uniquelabels.list"),"wb") as uniquelabelsfile: pickle.dump(self.uniquelabels,uniquelabelsfile,pickle.HIGHEST_PROTOCOL); for classidx, classname in enumerate(self.uniquelabels): self.classifiers[classidx].save(os.path.join(filename,str(classname)+".pyml.svm")); I am using the latest version of PyML (0.7.2, although PyML.__version__ is 0.7.0). When I construct the classifier with a training dataset, the reported accuracy is ~0.87. When I then save it and reload it, the accuracy is less than 0.001. So, there is something here that I am clearly not persisting correctly, although what that may be is completely non-obvious to me. Would you happen to know what that is?

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• Django Haystack exact filtering

  - by blackrobot

  I have a haystack search which has the following SearchIndex: class GrantIndex(indexes.SearchIndex): """ This provides the search index for the Grant application. """ text = indexes.CharField(document=True, use_template=True) year = indexes.IntegerField(model_attr='year__year') date = indexes.DateField(model_attr='date') program = indexes.CharField(model_attr='program__area') grantee = indexes.CharField(model_attr='grantee') amount = indexes.IntegerField(model_attr='amount') site.register(Grant, GrantIndex) If I want to search filtering out any programs that ARE NOT 'Health', I run the following query: from haystack.query import SearchQuerySet sqs = SearchQuerySet() sqs = sqs.filter(program='Health') Unfortunately, this also produces objects from the program 'Health\Other' and 'Health\Cardiovascular'. How do I stop the search from allowing those other programs in? I run Ubuntu 9.10 with Xapian as my search back-end.

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• how to load an image to a grid using pygame, instead of just using a fill color?

  - by yao jiang

  I am trying to create a "map of a city" using pygame. I want to be able to put images of buildings in specific grid coords rather than just filling them in with a color. This is how I am creating this map grid: def clear(): for r in range(rows): for c in range(rows): if r%3 == 1 and c%3 == 1: color = brown; grid[r][c] = 1; else: color = white; grid[r][c] = 0; pygame.draw.rect(screen, color, [(margin+width)*c+margin, (margin+height)*r+margin, width, height]) pygame.display.flip(); Now how do I put images of buildings in those brown colored grids at those specific locations? I've tried some of the samples online but can't seem to get them to work. Any help is appreciated. If anyone have a good source for free sprites that I can use for pygame, please let me know. Thanks!

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• Using numpy.apply

  - by andylei

  What's wrong with this snippet of code? import numpy as np from scipy import stats d = np.arange(10.0) cutoffs = [stats.scoreatpercentile(d, pct) for pct in range(0, 100, 20)] f = lambda x: np.sum(x > cutoffs) fv = np.vectorize(f) # why don't these two lines output the same values? [f(x) for x in d] # => [0, 1, 2, 2, 3, 3, 4, 4, 5, 5] fv(d) # => array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) Any ideas?

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• How do I automatically rebuild the Sphinx index under django-sphinx?

  - by Apreche

  I just setup django-sphinx, and it is working beautifully. I am now able to search my model and get amazing results. The one problem is that I have to build the index by hand using the indexer command. That means every time I add new content, I have to manually hit the command line to rebuild the search index. That is just not acceptable. I could make a cron job that automatically runs the indexer command every so often, but that's far from optimal. New data won't be indexed until the cron runs again. In addition, the indexer will run unnecessarily most times as my site doesn't have data being added very often. How do I set it up so that the Sphinx index will automatically rebuild itself whenever data is added to or modified in a searchable django model?

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• SQL Alchemy related Objects Error

  - by alex

  from sqlalchemy.orm import relation, backref from sqlalchemy import Table, Column, Integer, String, MetaData, ForeignKey, Date, Sequence from sqlalchemy.ext.declarative import declarative_base Base = declarative_base() class GUI_SCENARIO(Base): __tablename__ = 'GUI_SCENARIO' Scenario_ID = Column(Integer, primary_key=True) Definition_Date = Column(Date) guiScenarioDefinition = relation('GUI_SCENARIO_DEFINITION', order_by='GUI_SCENARIO_DEFINITION.Scenario_Definition_ID', backref='guiScenario') def __init__(self, Scenario_ID=None, Definition_Date=None): self.Scenario_ID = Scenario_ID self.Definition_Date = Definition_Date class GUI_SCENARIO_DEFINITION(Base): __tablename__='GUI_SCENARIO_DEFINITION' Scenario_Definition_ID = Column(Integer, Sequence('Scenario_Definition_ID_SEQ'), primary_key=True) Scenario_FK = Column(Integer, ForeignKey('GUI_SCENARIO.Scenario_ID')) Definition_Date=Column(Date) guiScenario = relation(GUI_SCENARIO, backref=backref('guiScenarioDefinition', order_by=Scenario_Definition_ID)) def __init__(self, Scenario_FK, Definition_Date): self.Scenario_FK = Scenario_FK self.Definition_Date = Definition_Date guiScenario = relation(GUI_SCENARIO, backref=backref('guiScenarioDefinition', order_by=Scenario_Definition_ID)) tableNameScenario = "GUI_SCENARIO" scenarioClass = getattr(MappingTablesScenario, tableNameScenario) tableScenario = Table(tableNameScenario, meta, autoload=True) mapper(scenarioClass, tableScenario) scenarioName = scenarioDefinition.name scenarioDefinitionDate = datetime.today() newScenario = MappingTablesScenario.GUI_SCENARIO(scenarioName, scenarioDefinitionDate) print newScenario.guiScenarioDefinition If I try to get the objects related to a scenarioObject, I always get this error: AttributeError: 'GUI_SCENARIO' object has no attribute 'guiScenarioDefinition' Does anyone know, why I get this error?

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• Is this the correct way to convert a UTC datetime string into localtime?

  - by Steve

  Is this the correct way to convert a UTC string into local time allowing for daylight savings? It looks ok to me but you never know :) import time UTC_STRING = "2010-03-25 02:00:00" stamp = time.mktime(time.strptime(UTC_STRING,"%Y-%m-%d %H:%M:%S")) stamp -= time.timezone now = time.localtime() if now[8] == 1: stamp += 60*60 elif now[8] == -1: stamp -= 60*60 print 'UTC: ', time.gmtime(stamp) print 'Local: ', time.localtime(stamp) --- Results from New Zealand (GMT+12 dst=1) --- UTC: (2010, 3, 25, 2, 0, 0, 3, 84, 0) Local: (2010, 3, 25, 15, 0, 0, 3, 84, 1)

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• What algorithms are suitable for this simple machine learning problem?

  - by user213060

  I have a what I think is a simple machine learning question. Here is the basic problem: I am repeatedly given a new object and a list of descriptions about the object. For example: new_object: 'bob' new_object_descriptions: ['tall','old','funny']. I then have to use some kind of machine learning to find previously handled objects that had similar descriptions, for example, past_similar_objects: ['frank','steve','joe']. Next, I have an algorithm that can directly measure whether these objects are indeed similar to bob, for example, correct_objects: ['steve','joe']. The classifier is then given this feedback training of successful matches. Then this loop repeats with a new object. a Here's the pseudo-code: Classifier=new_classifier() while True: new_object,new_object_descriptions = get_new_object_and_descriptions() past_similar_objects = Classifier.classify(new_object,new_object_descriptions) correct_objects = calc_successful_matches(new_object,past_similar_objects) Classifier.train_successful_matches(object,correct_objects) But, there are some stipulations that may limit what classifier can be used: There will be millions of objects put into this classifier so classification and training needs to scale well to millions of object types and still be fast. I believe this disqualifies something like a spam classifier that is optimal for just two types: spam or not spam. (Update: I could probably narrow this to thousands of objects instead of millions, if that is a problem.) Again, I prefer speed when millions of objects are being classified, over accuracy. What are decent, fast machine learning algorithms for this purpose?

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• Making HTTP POST request

  - by infrared

  I'm trying to make a POST request to retrieve information about a book. Here is the code that returns HTTP code: 302, Moved import httplib, urllib params = urllib.urlencode({ 'isbn' : '9780131185838', 'catalogId' : '10001', 'schoolStoreId' : '15828', 'search' : 'Search' }) headers = {"Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain"} conn = httplib.HTTPConnection("bkstr.com:80") conn.request("POST", "/webapp/wcs/stores/servlet/BuybackSearch", params, headers) response = conn.getresponse() print response.status, response.reason data = response.read() conn.close() When I try from a browser, from this page: http://www.bkstr.com/webapp/wcs/stores/servlet/BuybackMaterialsView?langId=-1&catalogId=10001&storeId=10051&schoolStoreId=15828 , it works. What am I missing in my code? Thanks EDIT: Here's what I get when I call print response.msg 302 Moved Date: Tue, 07 Sep 2010 16:54:29 GMT Vary: Host,Accept-Encoding,User-Agent Location: http://www.bkstr.com/webapp/wcs/stores/servlet/BuybackSearch X-UA-Compatible: IE=EmulateIE7 Content-Length: 0 Content-Type: text/plain; charset=utf-8 Seems that the location points to the same url I'm trying to access in the first place? EDIT2: I've tried using urllib2 as suggested here. Here is the code: import urllib, urllib2 url = 'http://www.bkstr.com/webapp/wcs/stores/servlet/BuybackSearch' values = {'isbn' : '9780131185838', 'catalogId' : '10001', 'schoolStoreId' : '15828', 'search' : 'Search' } data = urllib.urlencode(values) req = urllib2.Request(url, data) response = urllib2.urlopen(req) print response.geturl() print response.info() the_page = response.read() print the_page And here is the output: http://www.bkstr.com/webapp/wcs/stores/servlet/BuybackSearch Date: Tue, 07 Sep 2010 16:58:35 GMT Pragma: No-cache Cache-Control: no-cache Expires: Thu, 01 Jan 1970 00:00:00 GMT Set-Cookie: JSESSIONID=0001REjqgX2axkzlR6SvIJlgJkt:1311s25dm; Path=/ Vary: Accept-Encoding,User-Agent X-UA-Compatible: IE=EmulateIE7 Content-Length: 0 Connection: close Content-Type: text/html; charset=utf-8 Content-Language: en-US Set-Cookie: TSde3575=225ec58bcb0fdddfad7332c2816f1f152224db2f71e1b0474c866f3b; Path=/

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• Issue reading packets from a pcap file. dpkt module. What gives?

  - by Chris

  I am running the following test script to try to read packets from a sample .pcap file I have downloaded. It won't seem to run. I have all of the modules, but no examples seem to be running. import socket import dpkt import sys pcapReader = dpkt.pcap.Reader(file("test1.pcap", "rb")) for ts, data in pcapReader: ether = dpkt.ethernet.Ethernet(data) if ether.type != dpkt.ethernet.ETH_TYPE_IP: raise ip = ether.data src = socket.inet_ntoa(ip.src) dst = socket.inet_ntoa(ip.dst) print "%s -> %s" % (src, dst) For some reason, this is not being interpreted properly. When running it, I get KeyError: 138 module body in test.py at line 4 function __init__ in pcap.py at line 105 Program exited. Why is this? What's wrong?

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• OperationalError: foreign key mismatch

  - by Niek de Klein

  I have two tables that I'm filling, 'msrun' and 'feature'. 'feature' has a foreign key pointing to the 'msrun_name' column of the 'msrun' table. Inserting in the tables works fine. But when I try to delete from the 'feature' table I get the following error: pysqlite2.dbapi2.OperationalError: foreign key mismatch From the rules of foreign keys in the manual of SQLite: - The parent table does not exist, or - The parent key columns named in the foreign key constraint do not exist, or - The parent key columns named in the foreign key constraint are not the primary key of the parent table and are not subject to a unique constraint using collating sequence specified in the CREATE TABLE, or - The child table references the primary key of the parent without specifying the primary key columns and the number of primary key columns in the parent do not match the number of child key columns. I can see nothing that I'm violating. My create tables look like this: DROP TABLE IF EXISTS `msrun`; -- ----------------------------------------------------- -- Table `msrun` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `msrun` ( `msrun_name` VARCHAR(40) PRIMARY KEY NOT NULL , `description` VARCHAR(500) NOT NULL ); DROP TABLE IF EXISTS `feature`; -- ----------------------------------------------------- -- Table `feature` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `feature` ( `feature_id` VARCHAR(40) PRIMARY KEY NOT NULL , `intensity` DOUBLE NOT NULL , `overallquality` DOUBLE NOT NULL , `charge` INT NOT NULL , `content` VARCHAR(45) NOT NULL , `msrun_msrun_name` VARCHAR(40) NOT NULL , CONSTRAINT `fk_feature_msrun1` FOREIGN KEY (`msrun_msrun_name` ) REFERENCES `msrun` (`msrun_name` ) ON DELETE NO ACTION ON UPDATE NO ACTION); CREATE UNIQUE INDEX `id_UNIQUE` ON `feature` (`feature_id` ASC); CREATE INDEX `fk_feature_msrun1` ON `feature` (`msrun_msrun_name` ASC); As far as I can see the parent table exists, the foreign key is pointing to the right parent key, the parent key is a primary key and the foreign key specifies the primary key column. The script that produces the error: from pysqlite2 import dbapi2 as sqlite import parseFeatureXML connection = sqlite.connect('example.db') cursor = connection.cursor() cursor.execute("PRAGMA foreign_keys=ON") inputValues = ('example', 'description') cursor.execute("INSERT INTO `msrun` VALUES(?, ?)", inputValues) featureXML = parseFeatureXML.Reader('../example_scripts/example_files/input/featureXML_example.featureXML') for feature in featureXML.getSimpleFeatureInfo(): inputValues = (featureXML['id'], featureXML['intensity'], featureXML['overallquality'], featureXML['charge'], featureXML['content'], 'example') # insert the values into msrun using ? for sql injection safety cursor.execute("INSERT INTO `feature` VALUES(?,?,?,?,?,?)", inputValues) connection.commit() for feature in featureXML.getSimpleFeatureInfo(): cursor.execute("DELETE FROM `feature` WHERE feature_id = ?", (str(featureXML['id']),))

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• Programming an Event listener for files in a directory on Linux

  - by Epitaph

  On Ubuntu linux, when you watch a flash video, it gets saved temporarily in the /tmp as flv files while the video buffers. I use vlc to directly play these files. Currently, I have scripted a shortcut that directly scans and opens the latest file in /tmp with vlc, when clicked. But, I want to program a Java application that will continually monitor this /tmp directory for any new flv files, and open it in vlc automatically. I know I can use Runtime.exec() to open the VLC application with the flv files. But, I DO NOT want to run a while(true) loop (with sleep) to scan for files. How can I make use of Event Handling (Java or any other language) on Linux to complete this task?

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• stopping a cherrypy server over http

  - by d.c

  I have a cherrypy app that I'm controlling over http with a wxpython ui. I want to kill the server when the ui closes, but I don't know how to do that. Right now I'm just doing a sys.exit() on the window close event but thats resulting in Traceback (most recent call last): File "ui.py", line 67, in exitevent urllib.urlopen("http://"+server+"/?sigkill=1") File "c:\python26\lib\urllib.py", line 87, in urlopen return opener.open(url) File "c:\python26\lib\urllib.py", line 206, in open return getattr(self, name)(url) File "c:\python26\lib\urllib.py", line 354, in open_http 'got a bad status line', None) IOError: ('http protocol error', 0, 'got a bad status line', None) is that because I'm not stopping cherrypy properly?

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• PyQt4: Hide widget and resize window

  - by masterLoki

  Hi everyone: I'm working with several widgets but the solution just won't come out. What I have is a series of buttons in series of QHBoxLayouts. Some buttons are hidden by default, but they will appear when needed. To solve space issues, all buttons have a minimum and maximum size so they always look well packed. Also I have a QTextEdit, visible by default, which is in a QVBoxLayout with the QHBoxLayout that hold the buttons So the problem is this: When I hide the QTextEdit and show the other buttons, the window won't resize. After searching I found that using self.ui.layout().setSizeConstraint(QtGui.QLayout.SetFixedSize) will do the trick, but the problem is that it takes the maximum size from all widgets, therefore I end a huge window. Doing self.ui.layout().setSizeConstraint(QtGui.QLayout.SetMinAndMaxSize) won't resize the window I already tried using self.ui.resize(0,0), and when doing a self.ui.layout().update() I got False (which I find odd, http://doc.trolltech.com/4.6/qlayout.html#activate), and also tried to override sizeHint() but it keeps using the max size for all widgets. Is there a way to resize the window and while taking care of the min and max size of a widget? Thanks in advance

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• pyODBC and Unicode Problem

  - by Aviv Giladi

  Hey guys, I'm working with pyODBC communicate with a MS SQL 2005 Express server. The table to which i'm trying to save the data consists of nvarchar columns. query = u"INSERT INTO tblPersons (name, birthday, gender) VALUES('" query = query + name + u"', '" query = query + birthday + u"', '" query = query + gender + u"')" cur.execute(query ) The variables name, birthrday and gende are read from an Excel file and they are Unicode strings. When I execute the query and either look at the table with SQL Server Management Studio or execute a query that fetches the data that was just inserted, all the data that was written in a non-English languages turn into question marks. The data that was written in English is preserved and appears in the table in the correct way. I tried adding CHARSET=UTF16 to my connection string, but had no luck with that. I can use UTF-8 which works fine but as a working convention, I need all the data saved in my DB to be UTF16. Thanks!

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• Best way to detect IronPython

  - by Adal

  I need to write a module which will be used from both CPython and IronPython. What's the best way to detect IronPython, since I need a slightly different behaviour in that case? I noticed that sys.platform is "win32" on CPython, but "cli" on IronPython. Is there another preferred/standard way of detecting it?

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• Modify Django settings variables in a middleware

  - by jack

  I set a variable MAX_REQUEST = 100 in settings.py I write a middleware which may lower this value for request origining from a proxy ip address by the following code: settings.MAX_REQUEST = 10 However, looks like the above modification affects all legitimate users. Is it normal?

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• Bug when drawing a QImage on a widget with PIL and PyQt

  - by oulipo

  I'm trying to write a small graphic application, and I need to construct some image using PIL that I show in a widget. The image is correctly constructed (I can check with im.show()), I can convert it to a QImage, that I can save normally to disk (using QImage.save), but if I try to draw it directly on my QWidget, it only show a white square. Here I commented out the code that is not working (converting the Image into QImage then QPixmap result in a white square), and I made a dirty hack to save the image to a temporary file and load it directly in a QPixmap, which work but is not what I want to do https://gist.github.com/f6d479f286ad75bf72b7 Someone has an idea? If it can help, when I try to save my QImage in a BMP file, I can access its content, but if I try to save it to a PNG it is completely white

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• Django models avaoid duplicates

  - by Hulk

  In models, class Getdata(models.Model): title = models.CharField(max_length=255) state = models.CharField(max_length=2, choices=STATE, default="0") name = models.ForeignKey(School) created_by = models.ForeignKey(profile) def __unicode__(self): return self.id() In templates <form> <input type="submit" save the data/> </form> If the user clicks on the save button and the above data is saved in the table how to avoid the duplicates,i.e, if the user again clicks on the same submit button there should not be another entry for the same values.Or is it some this that has to be handeled in views Thanks..

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• Unexplained file not found for an existing file

  - by knishua

  Following is the error that occurs in this part of the code. Although the path is valid, a RuntimeError occurs—strange. What is happening, and how can I get this to work? for root,dirs,files in os.walk(self.path): for f in files : if (f.split('.')[1] == "mb"): z = utils.executeInMainThreadWithResult(self.contains,(f.split('.')[0])) if not (isinstance(z,NoneType)): cmds.symbolButton(self.arSubCategory + f.split('.')[0], image=(z[1].replace("\\","/")), width = 35,height = 70, c = "h.imp_file(" + "\"" + root.replace("\\","/") + "/" + f + "\"" + ")") def contains(self,imageName): print 'imageName : ',imageName,'\n' for root, dirs, files in os.walk(self.path+"images"): for g in files: x = re.search(imageName,g) if not (isinstance(x, NoneType)): print 'g ',root+"/"+g.replace("\\","/"),'\n' return (1,(root+"/"+g)) Error: # z is (1, 'T:/Reference_Library/Reference_work/Char_models/Workfiles/images\\rboxdisk1\\female\\highpoly/granny01_highpoly.jpg') Error: File not found: T:/Reference_Library/Reference_work/Char_models/Workfiles/images/rboxdisk1/female/highpoly/granny01_highpoly.jpg Traceback (most recent call last): File "<maya console>", line 115, in <module> File "<maya console>", line 65, in showWindowanimLibrary RuntimeError: File not found: T:/Reference_Library/Reference_work/Char_models/Workfiles/images/rboxdisk1/female/highpoly/granny01_highpoly.jpg

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• Rebuilding website from Django 0.96 to Django 1.2

  - by Neytiri

  I've got a website done in Django 0.96 (done in 2007), and now we are thinking about rebuilding it (not just migrating) for Django 1.2 . Can anyone point me to the new (and worth the while) widgets, plugins and other stuff for Django 1.2 (released in april 2010). I've heard of "South" and of a widget for debugging (can't remember the name), but I'm a little lost here.

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