Search Results

Search found 15629 results on 626 pages for 'mod python'.

Page 367/626 | < Previous Page | 363 364 365 366 367 368 369 370 371 372 373 374  | Next Page >

  • Extracting an attribute value with beautifulsoup

    - by Barnabe
    I am trying to extract the content of a single "value" attribute in a specific "input" tag on a webpage. I use the following code: import urllib f = urllib.urlopen("http://58.68.130.147") s = f.read() f.close() from BeautifulSoup import BeautifulStoneSoup soup = BeautifulStoneSoup(s) inputTag = soup.findAll(attrs={"name" : "stainfo"}) output = inputTag['value'] print str(output) I get a TypeError: list indices must be integers, not str even though from the Beautifulsoup documentation i understand that strings should not be a problem here... but i a no specialist and i may have misunderstood. Any suggestion is greatly appreciated! Thanks in advance.

    Read the article

  • Django URL regex question

    - by shawnjan
    Hey all! I had a quick question about Django URL configuration, and I guess REGEX as well. I have a small configuration application that takes in environments and artifacts in the following way: url(r'^env/(?P<env>\w+)/artifact/(?P<artifact>\w+)/$', 'config.views.ipview', name="bothlist"), Now, this works fine, but what I would like to do is have it be able to have additional parameters that are optional, such as a verbose mode or no formating mode. I know how to do this just fine in the views, but I can't wrap my head around the regex. the call would be something like GET /env/<env>/artifact/<artifact>/<opt:verbose>/<opt:noformat> Any help would be appreciated, thanks! -Shawn

    Read the article

  • Django auth without "auth_*" tables

    - by Travis Jensen
    We would like to use our own tables for user management instead of the Django "auth" tables. We already have database tables that include all of the relevant information our application needs but it isn't in the Django format. We would prefer not to have the information duplicated in two tables. We would like to utilize the auth package, though, as there is some very nice functionality that we don't want to replicate. I realize we could build our own auth backend, but that doesn't, as far as I can tell, remove the need for two sets of tables in this case. Am I correct in assuming that we cannot do this? I have found no docs that discuss how to modify the underlying model that the auth package is using. The backend simply pre-populates the user object that would eventually be saved in the auth tables. Thanks!

    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

  • 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

  • IIRF redirect combine rules?

    - by Phill
    I have 3 "rules". One to make sure URLs are lowercase another to include a slash at the end of directories, and a 3rd to force access to index.html pages to be thru the directory instead. The problem w/ how I have it is, sometimes this is causing multiple 301 redirects. I'd really like each rule to apply in turn and then if neccessary redirect once to the final url. For example a url might need to be converted to lowercase and have a slash added. Or may need to be lowecase and change from index.html to a directory. Any ideas how I can do this? Thanks very much. The rules are below: #LOWERCASE URLS For Directories, aspx, html files RedirectRule ^/(.*[A-Z].*(/|\.html|\.aspx))$ /#L$1#E [R=301] #ADD SLASH TO DIRECTORIES #--------------------------------------------- #Perm Redirect If: #Starts w/ Forward Slash #Match Any Characters Except (. or ?) 1 or more times #End w/ someting besides a dot, ?, or slash #If So, Perm Redirect captured piece W/ Slash At End and at front RedirectRule ^/([^.?]+[^.?/])$ /$1/ [I,R=301] #CHANGE INDEX.HTML REQUESTS TO DIRECTORY REQUESTS #--------------------------------------------- RedirectRule ^/(.*)/index\.html$ /$1/ [I,R=301]

    Read the article

  • stanford pos tagger runs out of memory?

    - by goh
    my stanford tagger ran out of memory. Is it because the text has to be properly formatted? This is because i use it to tag html contents, with the tags stripped, but there may have quite a excessive amount of newlines. here is the error: BlockquoWARNING: Untokenizable: ? (char in decimal: 9829) Exception in thread "main" java.lang.OutOfMemoryError: Java heap space at edu.stanford.nlp.sequences.ExactBestSequenceFinder.bestSequenceNew(Ex actBestSequenceFinder.java:175) at edu.stanford.nlp.sequences.ExactBestSequenceFinder.bestSequence(Exact BestSequenceFinder.java:98) at edu.stanford.nlp.tagger.maxent.TestSentence.runTagInference(TestSente nce.java:277) at edu.stanford.nlp.tagger.maxent.TestSentence.testTagInference(TestSent ence.java:258) at edu.stanford.nlp.tagger.maxent.TestSentence.tagSentence(TestSentence. java:110) at edu.stanford.nlp.tagger.maxent.MaxentTagger.tagSentence(MaxentTagger. java:825) at edu.stanford.nlp.tagger.maxent.MaxentTagger.runTagger(MaxentTagger.ja va:1319) at edu.stanford.nlp.tagger.maxent.MaxentTagger.runTagger(MaxentTagger.ja va:1225) at edu.stanford.nlp.tagger.maxent.MaxentTagger.runTagger(MaxentTagger.ja va:1183) at edu.stanford.nlp.tagger.maxent.MaxentTagger.main(MaxentTagger.java:13 58)

    Read the article

  • 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

  • Django syncdb error

    - by Hulk
    /mysite/project4 class notes(models.Model): created_by = models.ForeignKey(User) detail = models.ForeignKey(Details) Details and User are in the same module i.e,/mysite/project1 In project1 models i have defined class User(): ...... class Details(): ...... When DB i synced there is an error saying Error: One or more models did not validate: project4: Accessor for field 'detail' clashes with related field . Add a related_name argument to the definition for 'detail'. How can this be solved.. thanks..

    Read the article

  • Rewrite a dynamic URL to a new dynamic URL

    - by Jmino14
    I am new to the RewriteEngine and have not been able to find an answer to the following issue. I run an ecommerce site with an ever changing catalog of product skus. Our URLs are dynamic. The question is, what if I want to have a dynamic variable redirect to a different dynamic variable. For instance, I want: http://www.mydomain.com/product.jhtm?id=12345 to now go to: www.mydomain.com/product.jhtm?id=78910 How can I do this through the .htaccess? Thanks in advance.

    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

  • Django pagination | get current index of paginated item in page index, (not the page index range its

    - by cka
    I am trying to build a photo gallery with Django. It is set up by category. I have paginated the results of a category by n amount of images per page. I want to also use the paginator on the page that shows just the single image and have a prev/next button for the prev/next image in that category. My thought was to get the current index for the image itself and have that be the link to the /category/CUR_IMG_ID_PAGINATION_LIST/ as the result of paginating the entire set would yield the same index as the current image index in the paginated results. For instance if the image i want is image 45 out of 150 images total for a category, then when i paginate the 150 images the 45 will be the actual number of the page I want. If there's an easier way to do this, let me know. Django 1.1

    Read the article

  • Email Validation from WTForm using Flask

    - by lost9123193
    I'm following a Flask tutorial from http://code.tutsplus.com/tutorials/intro-to-flask-adding-a-contact-page--net-28982 and am currently stuck on the validation step: The old version had the following: from flask.ext.wtf import Form, TextField, TextAreaField, SubmitField, validators, ValidationError class ContactForm(Form): name = TextField("Name", [validators.Required("Please enter your name.")]) email = TextField("Email", [validators.Required("Please enter your email address."), validators.Email("Please enter your email address.")]) submit = SubmitField("Send") Reading the comments I updated it to this: (replaced validators.Required with InputRequired) (same fields) class ContactForm(Form): name = TextField("Name", validators=[InputRequired('Please enter your name.')]) email = EmailField("Email", validators=[InputRequired("Please enter your email address.")]), validators.Email("Please enter your email address.")]) submit = SubmitField("Send") My only issue is I don't know what to do with the validators.Email. The error message I get is: NameError: name 'validators' is not defined I've looked over the documentation, perhaps I didn't delve deep enough but I can't seem to find an example for email validation.

    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

  • 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

  • mod_wsgi for multiple trac projects [Windows]

    - by fampinheiro
    Hello, I have a system with windows server 2008, Apache httpd 2.2 and trac 0.11 i'm using mod_wsgi so the apache server do the web server job. Integration with Trac after read this site i found that the most suitable solution was the following (i have in my httpd.conf the line Include conf/extra/httpd-trac.conf) httpd-trac.conf LoadModule wsgi_module modules/mod_wsgi.so WSGIDaemonProcess tracs processes=3 threads=25 maximum-requests=1000 RewriteEngine On RewriteCond %{REQUEST_URI} ^/trac/([^/]+) RewriteCond c:\Project\Services\Trac\%1\conf\trac.ini !-f RewriteRule . - [F] RewriteCond %{REQUEST_URI} ^/trac/([^/]+) RewriteRule . - [E=trac.env_path:c:\Project\Services\Trac\%1] WSGIScriptAliasMatch ^/trac/([^/]+) c:\Project\Trac\trac.wsgi <Directory c:\Project\Trac> WSGIProcessGroup tracs WSGIApplicationGroup %{GLOBAL} Order deny,allow Allow from all </Directory> the problem i encouter is the following: C:\Project\Apache\binhttpd.exe -k start Syntax error on line 3 of C:/Project/Apache/conf/extra/httpd-trac.conf: Invalid command 'WSGIDaemonProcess', perhaps misspelled or defined by a module not included in the server configuration The objective: My objective is to have multiple trac projects with diferente authentication information. If you have other solution than this please tell me =) Thank you for your help.

    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

  • Why doesn't Apache2::SubProcess spawn my subprocess?

    - by codeholic
    The following script works without errors, but /tmp/test.touch is not being created (even being checked later in the command line). It seems to me as if $r->spawn_proc_prog doesn't spawn a process. What may cause the problem? #!/usr/bin/perl use strict; use warnings; use Apache2::RequestUtil; use Apache2::SubProcess (); my $r = Apache2::RequestUtil->request; print "Content-Type: text/plain\n\n"; print eval { $r->spawn_proc_prog('/usr/bin/touch', ['/tmp/test.touch']) } ? `ls -l /tmp/test.touch` : $@;

    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

  • 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

  • How to implement full text search in Django?

    - by Jannis
    I would like to implement a search function in a django blogging application. The status quo is that I have a list of strings supplied by the user and the queryset is narrowed down by each string to include only those objects that match the string. See: if request.method == "POST": form = SearchForm(request.POST) if form.is_valid(): posts = Post.objects.all() for string in form.cleaned_data['query'].split(): posts = posts.filter( Q(title__icontains=string) | Q(text__icontains=string) | Q(tags__name__exact=string) ) return archive_index(request, queryset=posts, date_field='date') Now, what if I didn't want do concatenate each word that is searched for by a logical AND but with a logical OR? How would I do that? Is there a way to do that with Django's own Queryset methods or does one have to fall back to raw SQL queries? In general, is it a proper solution to do full text search like this or would you recommend using a search engine like Solr, Whoosh or Xapian. What are there benefits? Thanks for taking the time

    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

  • 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

< Previous Page | 363 364 365 366 367 368 369 370 371 372 373 374  | Next Page >