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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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  • 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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  • 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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  • Best way to detect IronPython

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

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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • Best commercial libraries for developing NCPDP-based systems (prescription drug related)

    - by Kaveh Shahbazian
    What are (based on experiences) best commercial libraries for developing NCPDP-based systems? Edit 2: Thanks to all for help! NCPDP (National Council for Prescription Drug Programs) is an standard for e-prescribing. It defines two formats for message transmission: binary and XML. Implementing XML is somehow easier because it is a standard format which in turn gives us more tooling options. The binary format has a very big specification and time-consuming to implement. I did not find an open source solution to work with. So I am looking for commercial alternatives. Edit 1: Please guide me; what's wrong with this question?

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  • Facebook App Wall Posting no longer showing in Facebook iPhone App

    - by David Hsu
    I use the GRAPH API with django for Facebook wall postings. Since yesterday, the wall posts only show on the Facebook web app but not the Facebook iPhone app. I tried Yelp, and their postings still show up. How can I debug this? Anyone notice this issue with their Facebook connect? Is this a Facebook algorithm issue. Code for Wall Post: graph = facebook.GraphAPI(access_token) attachment = {"name": name, "link": link, #"caption": "{*actor*} posted a new review", "description": desc, "picture": picture } graph.put_wall_post("",attachment)

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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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