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  • 404 not found in telnet, works fine in browser

    - by Viranch Mehta
    i am having a very irritating problem, when i open a url ( http://celebs.widewallpapers.net/md/a/adriana-lima/1440/Adriana-Lima-1440x900-002.jpg ) in browser, it works fine.. but when i try to access it by telnet on bash, i get 404 not found!! my exact terminal: $ telnet celebs.widewallpapers.net 80 HEAD /md/a/adriana-lima/1440/Adriana-Lima-1440x900-002.jpg HTTP/1.0 [enter] [enter] HTTP/1.1 404 Not Found Server: nginx Date: Sun, 23 May 2010 21:36:05 GMT Content-Type: text/html; charset=windows-1251 Content-Length: 166 Connection: close please help me with this as i m trying to make a C batch-downloader, which is almost working as same as the telnet.

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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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  • 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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  • 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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  • is there a way to generate pdf containing non-ascii symbols with pisa from django template?

    - by mihailt
    Hi. i'm trying to generate a pdf from template using this snippet: def write_pdf(template_src, context_dict): template = get_template(template_src) context = Context(context_dict) html = template.render(context) result = StringIO.StringIO() pdf = pisa.pisaDocument(StringIO.StringIO(html.encode("UTF-8")), result) if not pdf.err: return http.HttpResponse(result.getvalue(), mimetype='application/pdf') except Exception('PDF error') but all non-latin symbols are not showing correctly, the template and view are saved using utf-8 encoding. i've tried saving view as ANSI and then to user unicode(html,"UTF-8"), but it throws TypeError. Also i thought that maybe it's because the default fonts somehow do not support utf-8 so according to pisa documentation i tried to set fontface in template body in style section. that still gave no results. Does any one have some ideas how to solve this issue?

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  • Downloading a Directory Tree with FTPLIB

    - by Anthony Lemmer
    I'd like to download a directory and all of its contents to the local HD. Here's the code I have thus far (crashes if there's a sub-directory, else grabs all the files): import ftplib import configparser import os def runBackups(): #Load INI filename = 'connections.ini' config = configparser.SafeConfigParser() config.read(filename) connections = config.sections() i = 0 while i < len(connections): #Load Settings uri = config.get(connections[i], "uri") username = config.get(connections[i], "username") password = config.get(connections[i], "password") backupPath = config.get(connections[i], "backuppath") archiveTo = config.get(connections[i], "archiveto") #Start Back-ups ftp = ftplib.FTP(uri) ftp.login(username, password) ftp.set_debuglevel(2) ftp.cwd(backupPath) files = ftp.nlst() for filename in files: ftp.retrbinary('RETR %s' % filename, open(os.path.join(archiveTo, filename), 'wb').write) ftp.quit() i += 1 print() print("Back-ups complete.") print()

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  • Beautiful Soup Unicode encode error

    - by iamrohitbanga
    I am trying the following code with a particular HTML file from BeautifulSoup import BeautifulSoup import re import codecs import sys f = open('test1.html') html = f.read() soup = BeautifulSoup(html) body = soup.body.contents para = soup.findAll('p') print str(para).encode('utf-8') I get the following error: UnicodeEncodeError: 'ascii' codec can't encode character u'\u2019' in position 9: ordinal not in range(128) How do I debug this?

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  • RabbitMQ serializing messages from queue with multiple consumers

    - by Refefer
    Hi there, I'm having a problem where I have a queue set up in shared mode and multiple consumers bound to it. The issue is that it appears that rabbitmq is serializing the messages, that is, only one consumer at a time is able to run. I need this to be parallel, however, I can't seem to figure out how. Each consumer is running in its own process. There are plenty of messages in the queue. I'm using py-amqplib to interface with RabbitMQ. Any thoughts?

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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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  • 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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  • Django snippet with logic

    - by etam
    Hi, is there a way to create a Django snippet that has logic? I think about something like contact template tag: {% contact_form %} with template: <form action="send_contact_form" method="POST">...</form> with logic: def send_contact_form(): ... I want to be able to use it anywhere in my projects. It should work only by specifying 1 template tag... Do you know what I mean? Is it possible? Thanks in advance, Etam.

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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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  • How should I check that a given argument is a datetime.date object?

    - by rmh
    I'm currently using an assert statement with isinstance. Because datetime is a subclass of date, I also need to check that it isn't an instance of datetime. Surely there's a better way? from datetime import date, datetime def some_func(arg): assert isinstance(arg, date) and not isinstance(arg, datetime),\ 'arg must be a datetime.date object' # ...

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  • Is it Pythonic to have a class keep track of its instances?

    - by Lightbreeze
    Take the following code snippet class Missile: instances = [] def __init__(self): Missile.instances.append(self) Now take the code: class Hero(): ... def fire(self): Missile() When the hero fires, a missile needs to be created and appended to the main list. Thus the hero object needs to reference the list when it fires. Here are a few solutions, although I'm sure there are others: Make the list a global, Use a class variable (as above), or Have the hero object hold a reference to the list. I didn't post this on gamedev because my question is actually more general: Is the previous code considered okay? Given a situation like this, is there a more Pythonic solution?

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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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  • Using Multiple File Handles for Single File

    - by Ryan Rosario
    I have an O(n^2) operation that requires me to read line i from a file, and then compare line i to every line in the file. This repeats for all i. I wrote the following code to do this with 2 file handles, but it does not yield the result I am looking for. I imagine this is a simple error on my part. IN1 = open("myfile.dat","r") IN2 = open("myfile.dat","r") for line1 in IN1: for line2 in IN2: print line1.strip(), line2.strip() IN1.close() IN2.close() The result: Hello Hello Hello World Hello This Hello is Hello an Hello Example Hello of Hello Using Hello Two Hello File Hello Pointers Hello to Hello Read Hello One Hello File The output should contain 15^2 lines.

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  • Django models: Use multiple values as a key?

    - by Rosarch
    Here is a simple model: class TakingCourse(models.Model): course = models.ForeignKey(Course) term = models.ForeignKey(Term) Instead of Django creating a default primary key, I would like to use both course and term as the primary key - taken together, they uniquely identify a tuple. Is this allowed by Django? On a related note: I am trying to represent users taking courses in certain terms. Is there a better way to do this? class Course(models.Model): name = models.CharField(max_length=200) requiredFor = models.ManyToManyField(RequirementSubSet, blank=True) offeringSchool = models.ForeignKey(School) def __unicode__(self): return "%s at %s" % (self.name, self.offeringSchool) class MyUser(models.Model): user = models.ForeignKey(User, unique=True) takingReqSets = models.ManyToManyField(RequirementSet, blank=True) takingTerms = models.ManyToManyField(Term, blank=True) takingCourses = models.ManyToManyField(TakingCourse, blank=True) school = models.ForeignKey(School) class TakingCourse(models.Model): course = models.ForeignKey(Course) term = models.ForeignKey(Term) class Term(models.Model): school = models.ForeignKey(School) isPrimaryTerm = models.BooleanField()

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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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  • How split a column in two colunms in pandas

    - by user1345283
    I have el next dataframe data=read_csv('enero.csv') data Fecha DirViento MagViento 0 2011/07/01 00:00 318 6.6 1 2011/07/01 00:15 342 5.5 2 2011/07/01 00:30 329 6.6 3 2011/07/01 00:45 279 7.5 4 2011/07/01 01:00 318 6.0 5 2011/07/01 01:15 329 7.1 6 2011/07/01 01:30 300 4.7 7 2011/07/01 01:45 291 3.1 How to split the column Fecha in two columns,for example, get a dataframe as follows: Fecha Hora DirViento MagViento 0 2011/07/01 00:00 318 6.6 1 2011/07/01 00:15 342 5.5 2 2011/07/01 00:30 329 6.6 3 2011/07/01 00:45 279 7.5 4 2011/07/01 01:00 318 6.0 5 2011/07/01 01:15 329 7.1 6 2011/07/01 01:30 300 4.7 7 2011/07/01 01:45 291 3.1 I am using pandas for to read data I try to calculate daily averages from a monthly database has daily data recorded every 15 minutes. To do this, use pandas and grouped the columns: Date and Time for get a dataframe as follow: Fecha Hora 2011/07/01 00:00 -4.4 00:15 -1.7 00:30 -3.4 2011/07/02 00:00 -4.5 00:15 -4.2 00:30 -7.6 2011/07/03 00:00 -6.3 00:15 -13.7 00:30 -0.3 with this look, I get the following grouped.mean() Fecha DirRes 2011/07/01 -3 2011/07/02 -5 2011/07/03 -6

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  • Datastore performance, my code or the datastore latency

    - by fredrik
    I had for the last month a bit of a problem with a quite basic datastore query. It involves 2 db.Models with one referring to the other with a db.ReferenceProperty. The problem is that according to the admin logs the request takes about 2-4 seconds to complete. I strip it down to a bare form and a list to display the results. The put works fine, but the get accumulates (in my opinion) way to much cpu time. #The get look like this: outputData['items'] = {} labelsData = Label.all() for label in labelsData: labelItem = label.item.name if labelItem not in outputData['items']: outputData['items'][labelItem] = { 'item' : labelItem, 'labels' : [] } outputData['items'][labelItem]['labels'].append(label.text) path = os.path.join(os.path.dirname(__file__), 'index.html') self.response.out.write(template.render(path, outputData)) #And the models: class Item(db.Model): name = db.StringProperty() class Label(db.Model): text = db.StringProperty() lang = db.StringProperty() item = db.ReferenceProperty(Item) I've tried to make it a number of different way ie. instead of ReferenceProperty storing all Label keys in the Item Model as a db.ListProperty. My test data is just 10 rows in Item and 40 in Label. So my questions: Is it a fools errand to try to optimize this since the high cpu usage is due to the problems with the datastore or have I just screwed up somewhere in the code? ..fredrik

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  • GUI freezes when executing def function. Use threads?

    - by wtzolt
    Hi, I've made a small program which has 2 buttons and each does certain thing. Here's a simplified version of the code. Thing is it works fine except that the button freezes and stays in a clicked position and whole GUI freezes until the command is completed. As far as I know threads would be best to use in this situation, but I have no idea how to implement it in this example. I use glade and pygtk for gui. def do1: t = 2 #do something time.sleep(t) #do something time.sleep(t) def do2: t = 3 #do something time.sleep(t) #do something time.sleep(t) class we: wTree = None def __init__( self ): self.wTree = gtk.glade.XML( "ui.glade" ) dic = { "on_buttonSone" : self.sone, "on_buttonStwo" : self.stwo, } self.wTree.signal_autoconnect( dic ) gtk.main() def sone(self, widget): i = 0 while i < 3: t = 1 #do something i += 1 time.sleep(t) self.wTree.get_widget("entryResult").set_text("Done.") def stwo(self, widget): start = time.clock() array = ['A','B'] adict = {'A':do1,'B':do2} for f in array: adict[f]() end = time.clock() elapsed = end - start gg = round(elapsed,2) self.wTree.get_widget("entryResult").set_text(str(gg)) go=we()

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  • How to list directory hierarchy in PyGTK treeview widget?

    - by lyrae
    I am trying to generate a hierarchical directory listing in pyGTK. Currently, I have this following directory tree: /root folderA - subdirA - subA.py - a.py folderB - b.py I have written a function that -almost- seem to work: def go(root, piter = None): for filename in os.listdir(root): isdir = os.path.isdir(os.path.join(root, filename)) piter = self.treestore.append(piter, [filename]) if isdir == True: go(os.path.join(root, filename), piter) This is what i get when i run the app: I also think my function is inefficient and that i should be using os.walk(), since it already exists for such purpose. How can I, and what is the proper/most efficient way of generating a directory tree with pyGTK?

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  • Sorting and indexing into a list in a Django template?

    - by slypete
    How can you perform complex sorting on an object before passing it to the template? For example, here is my view: @login_required def overview(request): physicians = PhysicianGroup.objects.get(pk=physician_group).physicians for physician in physicians.all(): physician.service_patients.order_by('bed__room__unit', 'bed__room__order', 'bed__order') return render_to_response('hospitalists/overview.html', RequestContext(request, {'physicians': physicians,})) The physicians object is not ordered correctly in the template. Why not? Additionally, how do you index into a list inside the template? For example, (this doesn't work): {% for note_type in note_types %} <div><h3>{{ note_type }}</h3> {% for notes in note_sets.index(parent.forloop.counter0) %} #only want to display the notes of this note_type! {% for note in notes %} <p>{{ note }}</p> {% endfor %} {% endfor %} </div> {% endfor %}

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