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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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  • HttpError 502 with Google Wave Active Robot API fetch_wavelet()

    - by Drew LeSueur
    I am trying to use the Google Wave Active Robot API fetch_wavelet() and I get an HTTP 502 error example: from waveapi import robot import passwords robot = robot.Robot('gae-run', 'http://images.com/fake-image.jpg') robot.setup_oauth(passwords.CONSUMER_KEY, passwords.CONSUMER_SECRET, server_rpc_base='http://www-opensocial.googleusercontent.com/api/rpc') wavelet = robot.fetch_wavelet('googlewave.com!w+dtuZi6t3C','googlewave.com!conv+root') robot.submit(wavelet) self.response.out.write(wavelet.creator) But the error I get is this: Traceback (most recent call last): File "/base/python_runtime/python_lib/versions/1/google/appengine/ext/webapp/__init__.py", line 511, in __call__ handler.get(*groups) File "/base/data/home/apps/clstff/gae-run.342467577023864664/main.py", line 23, in get robot.submit(wavelet) File "/base/data/home/apps/clstff/gae-run.342467577023864664/waveapi/robot.py", line 486, in submit res = self.make_rpc(pending) File "/base/data/home/apps/clstff/gae-run.342467577023864664/waveapi/robot.py", line 251, in make_rpc raise IOError('HttpError ' + str(code)) IOError: HttpError 502 Any ideas? Edit: When [email protected] is not a member of the wave I get the correct error message Error: RPC Error500: internalError: [email protected] is not a participant of wave id: [WaveId:googlewave.com!w+Pq1HgvssD] wavelet id: [WaveletId:googlewave.com!conv+root]. Unable to apply operation: {'method':'robot.fetchWave','id':'655720','waveId':'googlewave.com!w+Pq1HgvssD','waveletId':'googlewave.com!conv+root','blipId':'null','parameters':{}} But when [email protected] is a member of the wave I get the http 502 error. IOError: HttpError 502

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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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  • How I can get rid of None values in dictionary?

    - by Vojtech R.
    Something like: for (a,b) in kwargs.iteritems(): if not b : del kwargs[a] This code raise exception because changing of dictionary when iterating. I discover only non pretty solution with another dictionary: res ={} res.update((a,b) for a,b in kwargs.iteritems() if b is not None) Thanks

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  • Django select max id

    - by pistacchio
    Hi, given a standard model (called Image) with an autoset 'id', how do I get the max id? So far I've tried: max_id = Image.objects.all().aggregate(Max('id')) but I get a 'id__max' Key error. Trying max_id = Image.objects.order_by('id')[0].id gives a 'argument 2 to map() must support iteration' exception Any help?

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  • Access is denied error with pregenerated .pyc or .pyo files

    - by mukul sharma
    Hi All, I am getting an Access is denied error while I am trying to run the .pyo file by double click or from the command prompt. Lets say I have abc.py (keeping main method entry point) which imports files xyz.py and imports wx etc. I generate the .pyo file. But once I try to run abc.pyo I get the access is denied error. I am not getting why this happening? Any help will really appreciated. Thanks

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  • [numpy] storing record arrays in object arrays

    - by Peter Prettenhofer
    I'd like to convert a list of record arrays -- dtype is (uint32, float32) -- into a numpy array of dtype np.object: X = np.array(instances, dtype = np.object) where instances is a list of arrays with data type np.dtype([('f0', '<u4'), ('f1', '<f4')]). However, the above statement results in an array whose elements are also of type np.object: X[0] array([(67111L, 1.0), (104242L, 1.0)], dtype=object) Does anybody know why? The following statement should be equivalent to the above but gives the desired result: X = np.empty((len(instances),), dtype = np.object) X[:] = instances X[0] array([(67111L, 1.0), (104242L, 1.0), dtype=[('f0', '<u4'), ('f1', '<f4')]) thanks & best regards, peter

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  • How to catch FTP errors? e.g., socket.error: [Errno 10060]

    - by Johnson
    I'm using the ftplib module to upload files: files = [ a.txt , b.txt , c.txt ] s = ftplib.FTP(ftp_server , ftp_user , ftp_pw) # Connect to FTP for i in range(len(files)): f = open(files[i], 'rb') stor = 'stor ' + files[i] s.storbinary(stor, f) f.close() # close file s.quit() # close ftp How do I catch the following error? socket.error: [Errno 10060] A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond And what other errors are common when using the FTP module that I should also catch? Thanks for any help or pointers.

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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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  • find the colour name from a hexadecimal colour code

    - by sree01
    Hi , i want to find the name of a colour from the hexadecimal colour code. When i get a hex colour code i want to find the most matching colour name. for example for the code #c06040 , how to find out if it is a shade of brown, blue or yellow ?. so that i can find the colour of an object in the image without human intervention. Is there any relation between the hexadecimal code of the shades of a colour? please give some sample code if there is any.

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  • How to get HTTP status message in (py)curl?

    - by mykhal
    spending some time studying pycurl and libcurl documentation, i still can't find a (simple) way, how to get HTTP status message (reason-phrase) in pycurl. status code is easy: import pycurl import cStringIO curl = pycurl.Curl() buff = cStringIO.StringIO() curl.setopt(pycurl.URL, 'http://example.org') curl.setopt(pycurl.WRITEFUNCTION, buff.write) curl.perform() print "status code: %s" % curl.getinfo(pycurl.HTTP_CODE) # -> 200 # print "status message: %s" % ??? # -> "OK"

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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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  • 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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  • Merging elements inside a xml.etree.ElementTree

    - by theAlse
    I have a huge test data like the one provided below (and yes I have no control over this data). Each line is actually 6 parts and I need to generate an XML based on this data. Nav;Basic;Dest;Smoke;No;Yes; Nav;Dest;Recent;Regg;No;Yes; Nav;Dest;Favourites;Regg;No;Yes; ... Nav;Dest using on board;By POI;Smoke;No;Yes; Nav;Dest using on board;Other;Regg;No;Yes; The first 3 elements on each line denotes "test suites"-XML element and the last 3 element should create a "test case"-XML element. I have successfully converted it into a XML using the following code: # testsuite (root) testsuite = ET.Element('testsuite') testsuite.set("name", "Tests") def _create_testcase_tag(elem): global testsuite level1, level2, level3, elem4, elem5, elem6 = elem # -- testsuite (level1) testsuite_level1 = ET.SubElement(testsuite, "testsuite") testsuite_level1.set("name", level1) # -- testsuite (level2) testsuite_level2 = ET.SubElement(testsuite_level1, "testsuite") testsuite_level2.set("name", level2) # -- testsuite (level3) testsuite_level2 = ET.SubElement(testsuite_level2, "testsuite") testsuite_level2.set("name", level3) # -- testcase testcase = ET.SubElement(testsuite_level2, "testcase") testcase.set("name", "TBD") summary = ET.SubElement(testcase, "summary") summary.text = "Test Type= %s, Automated= %s, Available=%s" %(elem4, elem5, elem6) with open(input_file) as in_file: for line_number, a_line in enumerate(in_file): try: parameters = a_line.split(';') if len(parameters) >= 6: level1 = parameters[0].strip() level2 = parameters[1].strip() level3 = parameters[2].strip() elem4 = parameters[3].strip() elem5 = parameters[4].strip() elem6 = parameters[5].strip() lines_as_list.append((level1, level2, level3, elem4, elem5, elem6)) except ValueError: pass lines_as_list.sort() for elem in lines_as_list: _create_testcase_tag(elem) output_xml = ET.ElementTree(testsuite) ET.ElementTree.write(output_xml, output_file, xml_declaration=True, encoding="UTF-8") The above code generates an XML like this: <testsuite name="Tests"> <testsuite name="Nav"> <testsuite name="Basic navigation"> <testsuite name="Set destination"> <testcase name="TBD"> <summary>Test Type= Smoke test Automated= No, Available=Yes</summary> </testcase> </testsuite> </testsuite> </testsuite> <testsuite name="Nav"> <testsuite name="Set destination"> <testsuite name="Recent"> <testcase name="TBD"> <summary> Test Type= Reggression test Automated= No, Available=Yes </summary> </testcase> </testsuite> </testsuite> </testsuite> </testsuite> ... This is all correct, but as you can see I have created a whole tree for each line and that is not what I need. I need to combine e.g. all testsuite with the same name into one testsuite and also perform that recursively. So the XML looks like this instead: <testsuite name="Tests"> <testsuite name="Nav"> <testsuite name="Basic navigation"> <testsuite name="Set destination"> <testcase name="TBD"> <summary>Test Type= Smoke test Automated= No, Available=Yes</summary> </testcase> </testsuite> <testsuite name="Recent"> <testcase name="TBD"> <summary> Test Type= Reggression test Automated= No, Available=Yes </summary> </testcase> </testsuite> </testsuite> </testsuite> </testsuite> I hope you can understand what I mean, but level1, level2 and level3 should be unique with testcases inside. How should I do this? Please do not suggest the use of any external libraries! I can not install new libraries in customer site. xml.etree.ElementTree is all I have. Thanks

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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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  • Right clicking on QHeaderView inside of QTreeView

    - by taynaron
    I've written a descendant of QTreeView with multiple columns. I want to create a popup menu that appears whe nthe user right-clicks over the column headers. I have tried catching signals from QTreeView for this, but QTreeView doesn't seem to emit signals on the headers. QTreeView.header() does. I therefore believe I must either: 1: connect one of QHeaderView's signals to a popup function - I have been unable to find a signal that is triggered on a single right click - I have tried sectionClicked, sectionHandleDoubleClicked, sectionDoubleClicked, sectionPressed (not surprised the double click functions didn't catch a single right click - but they do catch a double right click) self.header().sectionClicked.connect(self.headerMenu) self.header().sectionHandleDoubleClicked.connect(self.headerMenu) self.header().sectionDoubleClicked.connect(self.headerMenu) self.header().sectionPressed.connect(self.headerMenu) or, 2: write a descendant of QHeaderView with my own MousePressEvent function, and use that for my headers. I have so far been unsuccessful in connecting the new header class to the QTreeView descendant. I keep getting a Segmentation Fault on runtime, with no more explanation. #in DiceView's init, where DiceHeaders is the QHeaderView descendant self.setHeader(DiceHeaders()) Any ideas?

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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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  • 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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  • 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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