Search Results

Search found 15224 results on 609 pages for 'parallel python'.

Page 343/609 | < Previous Page | 339 340 341 342 343 344 345 346 347 348 349 350  | Next Page >

  • Django JSON serializable error

    - by Hulk
    With the following code below, There is an error saying File "/home/user/web_pro/info/views.py", line 184, in headerview, raise TypeError("%r is not JSON serializable" % (o,)) TypeError: <lastname: jerry> is not JSON serializable In the models code header(models.Model): firstname = models.ForeignKey(Firstname) lastname = models.ForeignKey(Lastname) In the views code headerview(request): header = header.objects.filter(created_by=my_id).order_by(order_by)[offset:limit] l_array = [] l_array_obj = [] for obj in header: l_array_obj = [obj.title, obj.lastname ,obj.firstname ] l_array.append(l_array_obj) dictionary_l.update({'Data': l_array}) ; return HttpResponse(simplejson.dumps(dictionary_l), mimetype='application/javascript') what is this error and how to resolve this? thanks..

    Read the article

  • queries in django

    - by Hulk
    How to query Employee to get all the address related to the employee, Employee.Add.all() doe not work.. class Employee(): Add = models.ManyToManyField(Address) parent = models.ManyToManyField(Parent, blank=True, null=True) class Address(models.Model): address_emp = models.CharField(max_length=512) description = models.TextField() def __unicode__(self): return self.name()

    Read the article

  • Django exclude(**kwargs) help

    - by shawnjan
    Hey guys/gals! I had a question for you, something that I can't seem to find the solution for... Basically, I have a model called Environment, and I am passing all of them to a view, and there are particular environments that I would like to exclude. Now, I know there is a exclude function on a queryset, but I can't seem to figure out how to use it for multiple options... For example, I tried this but it didn't work: kwargs = {"name": "env1", "name": "env2"} envs = Environment.objects.exclude( kwards ) But the only thing that it will exclude is the last "name" value in the list of kwargs. I understand why it does that now, but I still can't seem to exclude multiple objects with one command. Any help is much appreciated! Shawn

    Read the article

  • Eventlet client-server

    - by johannix
    I'm trying to setup a server-client interraction: Server gets a string from client Server returns data to client I got this working with socket.send and socket.recv, but was wondering how to get it working with files through socket.makefile. I've got most of the pieces working, but don't know how to force each of the pieces to read at the appropriate time. So what it looks like is happening is that both the client and server are reading on the socket at the same time. Any ideas on how to let the server complete the original read before the client starts waiting for its information? Below are the core pieces that reproduce the read lock. Server: def handle(green_socket): file_handler = green_socket.makefile('rw') print 'before server read' lines = file_handler.readlines() print "readlines: %s" % (lines) print '** Server started **' server = eventlet.listen((HOST, PORT)) pool = eventlet.GreenPool() while True: new_sock, address = server.accept() pool.spawn_n(handle, new_sock) Client: from eventlet.green import socket green_socket = eventlet.connect((HOST, PORT)) file_handler = green_socket.makefile('rw') print 'before write' file_handler.writelines('client message') file_handler.flush() print 'before client read' lines = file_handler.readlines()

    Read the article

  • vectorizing a for loop in numpy/scipy?

    - by user248237
    I'm trying to vectorize a for loop that I have inside of a class method. The for loop has the following form: it iterates through a bunch of points and depending on whether a certain variable (called "self.condition_met" below) is true, calls a pair of functions on the point, and adds the result to a list. Each point here is an element in a vector of lists, i.e. a data structure that looks like array([[1,2,3], [4,5,6], ...]). Here is the problematic function: def myClass: def my_inefficient_method(self): final_vector = [] # Assume 'my_vector' and 'my_other_vector' are defined numpy arrays for point in all_points: if not self.condition_met: a = self.my_func1(point, my_vector) b = self.my_func2(point, my_other_vector) else: a = self.my_func3(point, my_vector) b = self.my_func4(point, my_other_vector) c = a + b final_vector.append(c) # Choose random element from resulting vector 'final_vector' self.condition_met is set before my_inefficient_method is called, so it seems unnecessary to check it each time, but I am not sure how to better write this. Since there are no destructive operations here it is seems like I could rewrite this entire thing as a vectorized operation -- is that possible? any ideas how to do this?

    Read the article

  • Why is my implementation of the Sieve of Atkin overlooking numbers close to the specified limit?

    - by Ross G
    My implementation either overlooks primes near the limit or composites near the limit. while some limits work and others don't. I'm am completely confused as to what is wrong. def AtkinSieve (limit): results = [2,3,5] sieve = [False]*limit factor = int(math.sqrt(lim)) for i in range(1,factor): for j in range(1, factor): n = 4*i**2+j**2 if (n <= lim) and (n % 12 == 1 or n % 12 == 5): sieve[n] = not sieve[n] n = 3*i**2+j**2 if (n <= lim) and (n % 12 == 7): sieve[n] = not sieve[n] if i>j: n = 3*i**2-j**2 if (n <= lim) and (n % 12 == 11): sieve[n] = not sieve[n] for index in range(5,factor): if sieve[index]: for jndex in range(index**2, limit, index**2): sieve[jndex] = False for index in range(7,limit): if sieve[index]: results.append(index) return results For example, when I generate a primes to the limit of 1000, the Atkin sieve misses the prime 997, but includes the composite 965. But if I generate up the limit of 5000, the list it returns is completely correct.

    Read the article

  • Why is my implementation of the Sieve of Atkin overlooking numbers close to the specified limit?

    - by Ross G
    My implementation either overlooks primes near the limit or composites near the limit. while some limits work and others don't. I'm am completely confused as to what is wrong. def AtkinSieve (limit): results = [2,3,5] sieve = [False]*limit factor = int(math.sqrt(lim)) for i in range(1,factor): for j in range(1, factor): n = 4*i**2+j**2 if (n <= lim) and (n % 12 == 1 or n % 12 == 5): sieve[n] = not sieve[n] n = 3*i**2+j**2 if (n <= lim) and (n % 12 == 7): sieve[n] = not sieve[n] if i>j: n = 3*i**2-j**2 if (n <= lim) and (n % 12 == 11): sieve[n] = not sieve[n] for index in range(5,factor): if sieve[index]: for jndex in range(index**2, limit, index**2): sieve[jndex] = False for index in range(7,limit): if sieve[index]: results.append(index) return results For example, when I generate a primes to the limit of 1000, the Atkin sieve misses the prime 997, but includes the composite 965. But if I generate up the limit of 5000, the list it returns is completely correct.

    Read the article

  • Copying contents of a model

    - by Hulk
    If there exists an old data of a model say , query=Emp.objects.filter(pk=profile.id) Is there a easier way to copy the same values into the same model again.. Now that the id will be different so.. I have this requirement. Thanks..

    Read the article

  • Django url parameters

    - by Hulk
    How to pass two paramters in urls in django <script> url=/toolbox/display/" + id + "2"; window.location=url; </script> Also how is this handeled in urls.py (r'^display/(?P<rid>\d+)/(?P<param>\d+)/$', 'table_display'), In views, def table_display(request,rid,param): print param //This should print 2

    Read the article

  • How do I use m2crypto to validate a X509 certificate chain in a non-SSL setting

    - by Brock Pytlik
    I'm trying to figure out how to, using m2crypto, validate the chain of trust from a public key version of a X509 certificate back to one of a set of known root CA's when the chain may be arbitrarily long. The SSL.Context module looks promising except that I'm not doing this in the context of a SSL connection and I can't see how the information passed to load_verify_locations is used. Essentially, I'm looking for the interface that's equivalent to: openssl verify pub_key_x509_cert Is there something like that in m2crypto? Thanks.

    Read the article

  • Problem with hash function: hash(1) == hash(1.0)

    - by mtasic
    I have an instance of dict with ints, floats, strings as keys, but the problem is when there are a as int and b as float, and float(a) == b, then their hash values are the same, and thats what I do NOT want to get because I need unique hash vales for this cases in order to get corresponding values. Example: d = {1:'1', 1.0:'1.0', '1':1, '1.0':1.0} d[1] == '1.0' d[1.0] == '1.0' d['1'] == 1 d['1.0'] == 1.0 What I need is: d = {1:'1', 1.0:'1.0', '1':1, '1.0':1.0} d[1] == '1' d[1.0] == '1.0' d['1'] == 1 d['1.0'] == 1.0

    Read the article

  • Undefined variable from import when using wxPython in pydev

    - by Bibendum
    I just downloaded wxPython, and was running some of the sample programs from here. However, on every line that uses a variable from wx.*, I get a "Undefined variable from import error" For example, the following program generates five errors on lines 1,4,8, and two on line 5: import wx class MyFrame(wx.Frame): """ We simply derive a new class of Frame. """ def __init__(self, parent, title): wx.Frame.__init__(self, parent, title=title, size=(200,100)) self.control = wx.TextCtrl(self, style=wx.TE_MULTILINE) self.Show(True) app = wx.App(False) frame = MyFrame(None, 'Small editor') app.MainLoop() The program, however, compiles and runs perfectly. I haven't made any significant modifications to pydev or eclipse, and the wxPython install is fresh.

    Read the article

  • Django QuerySet ordering by number of reverse ForeignKey matches

    - by msanders
    I have the following Django models: class Foo(models.Model): title = models.CharField(_(u'Title'), max_length=600) class Bar(models.Model): foo = models.ForeignKey(Foo) eg_id = models.PositiveIntegerField(_(u'Example ID'), default=0) I wish to return a list of Foo objects which have a reverse relationship with Bar objects that have a eg_id value contained in a list of values. So I have: id_list = [7, 8, 9, 10] qs = Foo.objects.filter(bar__eg_id__in=id_list) How do I order the matching Foo objects according to the number of related Bar objects which have an eg_id value in the id_list?

    Read the article

  • Deploying Pylons with Nginx reverse proxy?

    - by resopollution
    Is there a tutorial on how to deploy Pylons with Nginx? I've been able to start nginx and then serve pylons to :8080 with paster serve development.ini However, I can't seem to do other stuff as pylons locks me into that serve mode. If I try to CTRL+Z out of pylons serving to do other stuff on my server, pylons goes down. There must be a different method of deployment. PS - I've done all this: http://wiki.pylonshq.com/display/pylonscookbook/Running+Pylons+with+NGINX?showComments=true#comments I just have no clue what to do with the Pylons app other than paster serve. Not sure if tehre is a different method.

    Read the article

  • Cache the result of a MySQLdb database query in memory

    - by ensnare
    Our application fetches the correct database server from a pool of database servers. So each query is really 2 queries, and they look like this: Fetch the correct DB server Execute the query We do this so we can take DB servers online and offline as necessary, as well as for load-balancing. But the first query seems like it could be cached to memory, so it only actually queries the database every 5 or 10 minutes or so. What's the best way to do this? Thanks.

    Read the article

  • How to digitally sign a message with M2Crypto using the keys within a DER format certificate

    - by Pablo Santos
    Hi everyone. I am working on a project to implement digital signatures of outgoing messages and decided to use M2Crypto for that. I have a certificate (in DER format) from which I extract the keys to sign the message. For some reason I keep getting an ugly segmentation fault error when I call the "sign_update" method. Given the previous examples I have read here, I am clearly missing something. Here is the example I am working on: from M2Crypto.X509 import * cert = load_cert( 'certificate.cer', format=0 ) Pub_key = cert.get_pubkey() Pub_key.reset_context(md='sha1') Pub_key.sign_init() Pub_key.sign_update( "This should be good." ) print Pub_key.sign_final() Thanks in advance for the help, Pablo

    Read the article

  • How to update the text of a tag in XML using Elementree

    - by Christopher
    Using elementree, the easiest way to read the text of a tag is to do the following: import elementtree.ElementTree as ET sKeyMap = ET.parse("KeyMaps/KeyMap_Checklist.xml") host = sKeyMap.findtext("/BrowserInformation/BrowserSetup/host") Now I want to update the text in the same file, hopefully without having to re-write it with something easy like: host = "4444" sKeyMap.replacetext("/BrowserInformation/BrowserSetup/host") Any ideas? Thx in advance Christopher

    Read the article

  • Django urls on json request

    - by Hulk
    When making a django request through json as, var info=id + "##" +name+"##" $.post("/supervise/activity/" + info ,[] , function Handler(data,arr) { } In urls.py (r'^activity/(?P<info>\d+)/$, 'activity'), In views, def activity(request,info): print info The request does not go through.info is a string.How can this be resolved Thanks..

    Read the article

  • Django: Unicode Filenames with ASCII headers?

    - by TheLizardKing
    I have a list of strangely encoded files: 02 - Charlie, Woody and You/Study #22.mp3 which I suppose isn't so bad but there are a few particular characters which Django OR nginx seem to be snagging on. >>> test = u'02 - Charlie, Woody and You/Study #22.mp3' >>> test u'02 - Charlie, Woody and You\uff0fStudy #22.mp3' I am using nginx as a reverse proxy to connect to django's built in webserver (still in development stages) and postgresql for my database. My database and tables are all en_US.UTF-8 and I am using pgadmin3 to view my tables outside of django. My issue goes a little beyond my title, firstly how should I be saving possibly whacky filenames in my database? My current method is 'path': smart_unicode(path.lstrip(MUSIC_PATH)), 'filename': smart_unicode(file) and when I pprint out the values they do show u'whateverthecrap' I am not sure if that is how I should be doing it but assuming it is now I have issues trying to spit out the download. My download view looks something like this: def song_download(request, song_id): song = get_object_or_404(Song, pk=song_id) url = u'/static_music/%s/%s' % (song.path, song.filename) print url response = HttpResponse() response['X-Accel-Redirect'] = url response['Content-Type'] = 'audio/mpeg' response['Content-Disposition'] = "attachment; filename=test.mp3" return response and most files will download but when I get to 02 - Charlie, Woody and You/Study #22.mp3 I receive this from django: 'ascii' codec can't encode character u'\uff0f' in position 118: ordinal not in range(128), HTTP response headers must be in US-ASCII format. How can I use an ASCII acceptable string if my filename is out of bounds? 02 - Charlie, Woody and You\uff0fStudy #22.mp3 doesn't seem to work... EDIT 1 I am using Ubuntu for my OS.

    Read the article

  • putpixel with pyglet

    - by pts
    I'm new to pyglet. I'd like to change a pixel from black to white at each on_draw iteration. So after 1000 iterations, there should be exactly 1000 white pixels in the window. However, I'd like to avoid calling 1000 draw operations in on_draw for that. So I'd like to create an image, do an RGB putpixel on the image, and blit the image to the screen. How can I do that? The pyglet documentation, the examples and the source code aren't too helpful on this.

    Read the article

  • How to optimize my PageRank calculation?

    - by asmaier
    In the book Programming Collective Intelligence I found the following function to compute the PageRank: def calculatepagerank(self,iterations=20): # clear out the current PageRank tables self.con.execute("drop table if exists pagerank") self.con.execute("create table pagerank(urlid primary key,score)") self.con.execute("create index prankidx on pagerank(urlid)") # initialize every url with a PageRank of 1.0 self.con.execute("insert into pagerank select rowid,1.0 from urllist") self.dbcommit() for i in range(iterations): print "Iteration %d" % i for (urlid,) in self.con.execute("select rowid from urllist"): pr=0.15 # Loop through all the pages that link to this one for (linker,) in self.con.execute("select distinct fromid from link where toid=%d" % urlid): # Get the PageRank of the linker linkingpr=self.con.execute("select score from pagerank where urlid=%d" % linker).fetchone()[0] # Get the total number of links from the linker linkingcount=self.con.execute("select count(*) from link where fromid=%d" % linker).fetchone()[0] pr+=0.85*(linkingpr/linkingcount) self.con.execute("update pagerank set score=%f where urlid=%d" % (pr,urlid)) self.dbcommit() However, this function is very slow, because of all the SQL queries in every iteration >>> import cProfile >>> cProfile.run("crawler.calculatepagerank()") 2262510 function calls in 136.006 CPU seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 136.006 136.006 <string>:1(<module>) 1 20.826 20.826 136.006 136.006 searchengine.py:179(calculatepagerank) 21 0.000 0.000 0.528 0.025 searchengine.py:27(dbcommit) 21 0.528 0.025 0.528 0.025 {method 'commit' of 'sqlite3.Connecti 1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler 1339864 112.602 0.000 112.602 0.000 {method 'execute' of 'sqlite3.Connec 922600 2.050 0.000 2.050 0.000 {method 'fetchone' of 'sqlite3.Cursor' 1 0.000 0.000 0.000 0.000 {range} So I optimized the function and came up with this: def calculatepagerank2(self,iterations=20): # clear out the current PageRank tables self.con.execute("drop table if exists pagerank") self.con.execute("create table pagerank(urlid primary key,score)") self.con.execute("create index prankidx on pagerank(urlid)") # initialize every url with a PageRank of 1.0 self.con.execute("insert into pagerank select rowid,1.0 from urllist") self.dbcommit() inlinks={} numoutlinks={} pagerank={} for (urlid,) in self.con.execute("select rowid from urllist"): inlinks[urlid]=[] numoutlinks[urlid]=0 # Initialize pagerank vector with 1.0 pagerank[urlid]=1.0 # Loop through all the pages that link to this one for (inlink,) in self.con.execute("select distinct fromid from link where toid=%d" % urlid): inlinks[urlid].append(inlink) # get number of outgoing links from a page numoutlinks[urlid]=self.con.execute("select count(*) from link where fromid=%d" % urlid).fetchone()[0] for i in range(iterations): print "Iteration %d" % i for urlid in pagerank: pr=0.15 for link in inlinks[urlid]: linkpr=pagerank[link] linkcount=numoutlinks[link] pr+=0.85*(linkpr/linkcount) pagerank[urlid]=pr for urlid in pagerank: self.con.execute("update pagerank set score=%f where urlid=%d" % (pagerank[urlid],urlid)) self.dbcommit() This function is 20 times faster (but uses a lot more memory for all the temporary dictionaries) because it avoids the unnecessary SQL queries in every iteration: >>> cProfile.run("crawler.calculatepagerank2()") 64802 function calls in 6.950 CPU seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.004 0.004 6.950 6.950 <string>:1(<module>) 1 1.004 1.004 6.946 6.946 searchengine.py:207(calculatepagerank2 2 0.000 0.000 0.104 0.052 searchengine.py:27(dbcommit) 23065 0.012 0.000 0.012 0.000 {meth 'append' of 'list' objects} 2 0.104 0.052 0.104 0.052 {meth 'commit' of 'sqlite3.Connection 1 0.000 0.000 0.000 0.000 {meth 'disable' of '_lsprof.Profiler' 31298 5.809 0.000 5.809 0.000 {meth 'execute' of 'sqlite3.Connectio 10431 0.018 0.000 0.018 0.000 {method 'fetchone' of 'sqlite3.Cursor' 1 0.000 0.000 0.000 0.000 {range} But is it possible to further reduce the number of SQL queries to speed up the function even more?

    Read the article

  • Iterating through a JSON object.

    - by user327508
    [ { "title": "Baby (Feat. Ludacris) - Justin Bieber", "description": "Baby (Feat. Ludacris) by Justin Bieber on Grooveshark", "link": "http://listen.grooveshark.com/s/Baby+Feat+Ludacris+/2Bqvdq", "pubDate": "Wed, 28 Apr 2010 02:37:53 -0400", "pubTime": 1272436673, "TinyLink": "http://tinysong.com/d3wI", "SongID": "24447862", "SongName": "Baby (Feat. Ludacris)", "ArtistID": "1118876", "ArtistName": "Justin Bieber", "AlbumID": "4104002", "AlbumName": "My World (Part II);\nhttp://tinysong.com/gQsw", "LongLink": "11578982", "GroovesharkLink": "11578982", "Link": "http://tinysong.com/d3wI" }, { "title": "Feel Good Inc - Gorillaz", "description": "Feel Good Inc by Gorillaz on Grooveshark", "link": "http://listen.grooveshark.com/s/Feel+Good+Inc/1UksmI", "pubDate": "Wed, 28 Apr 2010 02:25:30 -0400", "pubTime": 1272435930 } ] That is the current JSON object I have. I am now trying to iterate through it to get the import stuff like title and link. This is where I am having trouble I cant seem to get to the content that is past the ":" i tried doing dictionary way couldn't get it. def getLastSong(user,limit): base_url = 'http://gsuser.com/lastSong/' user_url = base_url + str(user) + '/' + str(limit) + "/" raw = urllib.urlopen(user_url) json_raw= raw.readlines() json_object = json.loads(json_raw[0]) #filtering and making it look good. gsongs = [] print json_object for song in json_object[0]: print song This code prints all the information before ":" Please help. ignore the Justin Bieber track :)

    Read the article

< Previous Page | 339 340 341 342 343 344 345 346 347 348 349 350  | Next Page >