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  • Finding inline style with lxml.cssselector

    - by ropa
    New to this library (no more familiar with BeautifulSoup either, sadly), trying to do something very simple (search by inline style): <td style="padding: 20px">blah blah </td> I just want to select all tds where style="padding: 20px", but I can't seem to figure it out. All the examples show how to select td, such as: for col in page.cssselect('td'): but that doesn't help me much.

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  • How to return an image in an HTTP response with CherryPy

    - by colinmarc
    I have code which generates a Cairo ImageSurface, and I expose it like so: def preview(...): surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height) ... cherrypy.response.headers['Content-Type'] = "image/png" return surface.get_data() preview.exposed = True This doesn't work (browsers report that the image has errors). I've tested that surface.write_to_png('test.png') works, but I'm not sure what to dump the data into to return it. I'm guessing some file-like object? According to the pycairo documentation, get_data() returns a buffer. I've also now tried: tempf = os.tmpfile() surface.write_to_png(tempf) return tempf Also, is it better to create and hold this image in memory (like I'm trying to do) or write it to disk as a temp file and serve it from there? I only need the image once, then it can be discarded.

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  • How do I create self-relationships in polymorphic inheritance in Elixir and Pylons?

    - by Turukawa
    I am new to programming and am following the example in the Pylons documentation on creating a Wiki. The database I want to link to the wiki was created with Elixir so I rewrote the Wiki database schema and have continued from there. In the wiki there is a requirement for a Navigation table which is inherited by Pages and Sections. A section can have many pages, while a page can only have one section. In addition, each sibling node can be chain-referenced to each other. So: Nav has "section" (OneToMany) and "before" (OneToOne - to reference preceeding node) Page has "section" (ManyToOne - many pages in one section) and inherits "before" Section inherits all from Nav The code I've written looks like this: class Nav(Entity): using_options(inheritance='multi') name = Field(Unicode(30), default=u'Untitled Node') path = Field(Unicode(255), default=u'') section = OneToMany('Page', inverse='section') after = OneToOne('Nav', inverse='before') before = OneToMany('Nav', inverse='after') class Page(Nav): using_options(inheritance='multi') content = Field(UnicodeText, nullable=False) posted = Field(DateTime, default=now()) title = Field(Unicode(255), default=u'Untitled Page') heading = Field(Unicode(255)) tags = ManyToMany('Tag') comments = OneToMany('Comment') section = ManyToOne('Nav', inverse='section') class Section(Nav): using_options(inheritance='multi') Errors received on this: sqlalchemy.exc.OperationalError: (OperationalError) table nav has no column named aftr_id u'INSERT INTO nav (name, path, aftr_id, row_type) VALUES (?, ?, ?, ?)' I've also tried: before = ManyToMany('Nav', inverse='before') on Nav in the hopes this might break the problem, but also not. The original SQLAlchemy code from the tutorial for these declarations is as follows: nav_table = schema.Table('nav', meta.metadata, schema.Column('id', types.Integer(), schema.Sequence('nav_id_seq', optional=True), primary_key=True), schema.Column('name', types.Unicode(255), default=u'Untitled Node'), schema.Column('path', types.Unicode(255), default=u''), schema.Column('section', types.Integer(), schema.ForeignKey('nav.id')), schema.Column('before', types.Integer(), default=None), schema.Column('type', types.String(30), nullable=False) ) page_table = schema.Table('page', meta.metadata, schema.Column('id', types.Integer, schema.ForeignKey('nav.id'), primary_key=True), schema.Column('content', types.Text(), nullable=False), schema.Column('posted', types.DateTime(), default=now), schema.Column('title', types.Unicode(255), default=u'Untitled Page'), schema.Column('heading', types.Unicode(255)), ) section_table = sa.Table('section', meta.metadata, schema.Column('id', types.Integer, schema.ForeignKey('nav.id'), primary_key=True), ) orm.mapper(Nav, nav_table, polymorphic_on=nav_table.c.type, polymorphic_identity='nav') orm.mapper(Section, section_table, inherits=Nav, polymorphic_identity='section') orm.mapper(Page, page_table, inherits=Nav, polymorphic_identity='page', properties={ 'comments':orm.relation(Comment, backref='page', cascade='all'), 'tags':orm.relation(Tag, secondary=pagetag_table) }) Any help is much appreciated.

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  • Plot smooth line with PyPlot

    - by Paul
    I've got the following simple script that plots a graph: import matplotlib.pyplot as plt import numpy as np T = np.array([6, 7, 8, 9, 10, 11, 12]) power = np.array([1.53E+03, 5.92E+02, 2.04E+02, 7.24E+01, 2.72E+01, 1.10E+01, 4.70E+00]) plt.plot(T,power) plt.show() As it is now, the line goes straight from point to point which looks ok, but could be better in my opinion. What I want is to smooth the line between the points. In Gnuplot I would have plotted with smooth cplines. Is there an easy way to do this in PyPlot? I've found some tutorials, but they all seem rather complex.

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  • Textually diffing JSON

    - by Richard Levasseur
    As part of my release processes, I have to compare some JSON configuration data used by my application. As a first attempt, I just pretty-printed the JSON and diff'ed them (using kdiff3 or just diff). As that data has grown, however, kdiff3 confuses different parts in the output, making additions look like giant modifies, odd deletions, etc. It makes it really hard to figure out what is different. I've tried other diff tools, too (meld, kompare, diff, a few others), but they all have the same problem. Despite my best efforts, I can't seem to format the JSON in a way that the diff tools can understand. Example data: [ { "name": "date", "type": "date", "nullable": true, "state": "enabled" }, { "name": "owner", "type": "string", "nullable": false, "state": "enabled", } ...lots more... ] The above probably wouldn't cause the problem (the problem occurs when there begin to be hundreds of lines), but thats the gist of what is being compared. Thats just a sample; the full objects are 4-5 attributes, and some attributes have 4-5 attributes in them. The attribute names are pretty uniform, but their values pretty varied. In general, it seems like all the diff tools confuse the closing "}" with the next objects closing "}". I can't seem to break them of this habit. I've tried adding whitespace, changing indentation, and adding some "BEGIN" and "END" strings before and after the respective objects, but the tool still get confused.

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  • How to "signal" interested child processes (without signals)?

    - by Teddy
    I'm trying to find a good and simple method to signal child processes (created through SocketServer with ForkingMixIn) from the parent process. While Unix signals could be used, I want to avoid them since only children who are interested should receive the signal, and it would be overkill and complicated to require some kind of registration mechanism to identify to the parent process who is interested. (Please don't suggest threads, as this particular program won't work with threads, and thus has to use forks.)

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  • Infrastructure for a "news-feed"

    - by ensnare
    I'd like to offer a news-feed like feature for users of our website. When the user logs in, he is shown a list of the latest updates across various areas of the site. I'm afraid that this is going to be difficult to scale. What are some networking / database topologies that can support a scalable infrastructure without having lots of copies of the same data? (I'd like to make it so if a piece of data is updated, each user's feed is also updated live). Thanks for the assistance and advice.

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  • PyML 0.7.2 - How to prevent accuracy from dropping after stroing/loading a classifier?

    - by Michael Aaron Safyan
    This is a followup from "Save PyML.classifiers.multi.OneAgainstRest(SVM()) object?". The solution to that question was close, but not quite right, (the SparseDataSet is broken, so attempting to save/load with that dataset container type will fail, no matter what. Also, PyML is inconsistent in terms of whether labels should be numbers or strings... it turns out that the oneAgainstRest function is actually not good enough, because the labels need to be strings and simultaneously convertible to floats, because there are places where it is assumed to be a string and elsewhere converted to float) and so after a great deal of hacking and such I was finally able to figure out a way to save and load my multi-class classifier without it blowing up with an error.... however, although it is no longer giving me an error message, it is still not quite right as the accuracy of the classifier drops significantly when it is saved and then reloaded (so I'm still missing a piece of the puzzle). I am currently using the following custom mutli-class classifier for training, saving, and loading: class SVM(object): def __init__(self,features_or_filename,labels=None,kernel=None): if isinstance(features_or_filename,str): filename=features_or_filename; if labels!=None: raise ValueError,"Labels must be None if loading from a file."; with open(os.path.join(filename,"uniquelabels.list"),"rb") as uniquelabelsfile: self.uniquelabels=sorted(list(set(pickle.load(uniquelabelsfile)))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; self.classifiers=[]; for classidx, classname in enumerate(self.uniquelabels): self.classifiers.append(PyML.classifiers.svm.loadSVM(os.path.join(filename,str(classname)+".pyml.svm"),datasetClass = PyML.VectorDataSet)); else: features=features_or_filename; if labels==None: raise ValueError,"Labels must not be None when training."; self.uniquelabels=sorted(list(set(labels))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; points = [[float(xij) for xij in xi] for xi in features]; self.classifiers=[PyML.SVM(kernel) for label in self.uniquelabels]; for i in xrange(len(self.uniquelabels)): currentlabel=self.uniquelabels[i]; currentlabels=['+1' if k==currentlabel else '-1' for k in labels]; currentdataset=PyML.VectorDataSet(points,L=currentlabels,positiveClass='+1'); self.classifiers[i].train(currentdataset,saveSpace=False); def accuracy(self,pts,labels): logger=logging.getLogger("ml"); correct=0; total=0; classindexes=[self.labeltoindex[label] for label in labels]; h=self.hypotheses(pts); for idx in xrange(len(pts)): if h[idx]==classindexes[idx]: logger.info("RIGHT: Actual \"%s\" == Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])); correct+=1; else: logger.info("WRONG: Actual \"%s\" != Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])) total+=1; return float(correct)/float(total); def prediction(self,pt): h=self.hypothesis(pt); if h!=None: return self.uniquelabels[h]; return h; def predictions(self,pts): h=self.hypotheses(self,pts); return [self.uniquelabels[x] if x!=None else None for x in h]; def hypothesis(self,pt): bestvalue=None; bestclass=None; dataset=PyML.VectorDataSet([pt]); for classidx, classifier in enumerate(self.classifiers): val=classifier.decisionFunc(dataset,0); if (bestvalue==None) or (val>bestvalue): bestvalue=val; bestclass=classidx; return bestclass; def hypotheses(self,pts): bestvalues=[None for pt in pts]; bestclasses=[None for pt in pts]; dataset=PyML.VectorDataSet(pts); for classidx, classifier in enumerate(self.classifiers): for ptidx in xrange(len(pts)): val=classifier.decisionFunc(dataset,ptidx); if (bestvalues[ptidx]==None) or (val>bestvalues[ptidx]): bestvalues[ptidx]=val; bestclasses[ptidx]=classidx; return bestclasses; def save(self,filename): if not os.path.exists(filename): os.makedirs(filename); with open(os.path.join(filename,"uniquelabels.list"),"wb") as uniquelabelsfile: pickle.dump(self.uniquelabels,uniquelabelsfile,pickle.HIGHEST_PROTOCOL); for classidx, classname in enumerate(self.uniquelabels): self.classifiers[classidx].save(os.path.join(filename,str(classname)+".pyml.svm")); I am using the latest version of PyML (0.7.2, although PyML.__version__ is 0.7.0). When I construct the classifier with a training dataset, the reported accuracy is ~0.87. When I then save it and reload it, the accuracy is less than 0.001. So, there is something here that I am clearly not persisting correctly, although what that may be is completely non-obvious to me. Would you happen to know what that is?

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  • Pythonic / itertools way to go through a dict?

    - by dmd
    def reportCSV(t): ret = '' for ev in t: for p in t[ev]: for w in t[ev][p]: ret += ','.join((ev, p, w, t[ev][p][w])) + '\n' return ret What is a more pythonic way to do this, e.g. using itertools or the like? In this case I'm just writing it out to a CSV file. t is a dict t[ev] is a dict t[ev][p] is a dict t[ev][p][w] is a float I'm not sure how I'd use itertools.product in this case.

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  • Why do socket.makefile objects fail after the first read for UDP sockets?

    - by Eli Courtwright
    I'm using the socket.makefile method to create a file-like object on a UDP socket for the purposes of reading. When I receive a UDP packet, I can read the entire contents of the packet all at once by using the read method, but if I try to split it up into multiple reads, my program hangs. Here's a program which demonstrates this problem: import socket from sys import argv SERVER_ADDR = ("localhost", 12345) sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) sock.bind(SERVER_ADDR) f = sock.makefile("rb") sock.sendto("HelloWorld", SERVER_ADDR) if "--all" in argv: print f.read(10) else: print f.read(5) print f.read(5) If I run the above program with the --all option, then it works perfectly and prints HelloWorld. If I run it without that option, it prints Hello and then hangs on the second read. I do not have this problem with socket.makefile objects when using TCP sockets. Why is this happening and what can I do to stop it?

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  • Parse http GET and POST parameters from BaseHTTPHandler?

    - by ataylor
    BaseHTTPHandler from the BaseHTTPServer module doesn't seem to provide any convenient way to access http request parameters. What is the best way to parse the GET parameters from the path, and the POST parameters from the request body? Right now, I'm using this for GET: def do_GET(self): parsed_path = urlparse.urlparse(self.path) try: params = dict([p.split('=') for p in parsed_path[4].split('&')]) except: params = {} This works for most cases, but I'd like something more robust that handles encodings and cases like empty parameters properly. Ideally, I'd like something small and standalone, rather than a full web framework.

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  • Problem with eastern european characters when scraping data from the European Parliaments Website

    - by Thomas Jensen
    Dear Experts I am trying to scrape a lot of data from the European Parliament website for a research project. Ther first step is the create a list if all parliamentarians, however due to the many Eastern European names and the accents they use i get a lot of missing entries. Here is an example of what is giving me troubles (notice the accents at the end of the family name): ANDRIKIENE, Laima Liucija Group of the European People's Party (Christian Democrats) So far I have been using PyParser and the following code: parser_names name = Word(alphanums + alphas8bit) begin, end = map(Suppress, "<") names = begin + ZeroOrMore(name) + "," + ZeroOrMore(name) + end for name in names.searchString(page): print(name) However this does not catch the name from the html above. Any advice in how to proceed? Best, Thomas

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  • Real-time data on webpage with jQuery

    - by Steven Hepting
    I would like a webpage that constantly updates a graph with new data as it arrives. Regularly, all the data you have is passed to the page at the beginning of the request. However, I need the page to be able to update itself with fresh information every few seconds to redraw the graph. Background The webpage will be similar to this http://www.panic.com/blog/2010/03/the-panic-status-board/. The data coming in will temperature values to be graphed measured by an Arduino and saved to the Django database (this part is already complete). Update It sounds as though the solution is to use the jQuery.ajax() function ( http://api.jquery.com/jQuery.ajax/) with a function as the .complete callback that will schedule another request several seconds later to a URL that will return the data in JSON format. How can that method be scheduled? With the .delay() function?

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  • Start PyGTK cellrenderer edit from code

    - by mkotechno
    I have a treeview with an editable CellRendererText: self.renderer = gtk.CellRendererText() self.renderer.set_property('editable', True) But now I need to launch the edition from code instead from user, this is to focus the user attention in the fact he just created a new row and needs to be named. I tried this but does not work: self.renderer.start_editing( gtk.gdk.Event(gtk.gdk.NOTHING), self.treeview, str(index), gtk.gdk.Rectangle(), gtk.gdk.Rectangle(), 0) Neither does not throw errors, but the documentation about for what is each argument is not clear, in fact I really don't know if start_editing method is for this. All suggestions are welcome, thanks.

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  • beautifulsoup: find the n-th element's sibling

    - by deostroll
    I have a complex html DOM tree of the following nature: <table> ... <tr> <td> ... </td> <td> <table> <tr> <td> <!-- inner most table --> <table> ... </table> <h2>This is hell!</h2> <td> </tr> </table> </td> </tr> </table> I have some logic to find out the inner most table. But after having found it, I need to get the next sibling element (h2). Is there anyway you can do this?

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  • is the sender of google-app-engine allow my own gmail..

    - by zjm1126
    my gmail is [email protected] i can only use [email protected] in the sender=".." ,yes ?? from google.appengine.api import mail message = mail.EmailMessage(sender="[email protected]", subject="Your account has been approved") message.to = "[email protected]" message.body = """ Dear Albert: Your example.com account has been approved. You can now visit http://www.example.com/ and sign in using your Google Account to access new features. Please let us know if you have any questions. The example.com Team """ message.send() thanks

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  • Tuple conversion to a string

    - by David542
    I have the following list: [('Steve Buscemi', 'Mr. Pink'), ('Chris Penn', 'Nice Guy Eddie'), ...] I need to convert it to a string in the following format: "(Steve Buscemi, Mr. Pink), (Chris Penn, Nice Guy Eddit), ..." I tried doing str = ', '.join(item for item in items) but run into the following error: TypeError: sequence item 0: expected string, tuple found How would I do the above formatting?

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  • Map only certain parts of the class to a database using SQLAlchemy?

    - by Az
    When mapping an object using SQLAlchemy, is there a way to only map certain elements of a class to a database, or does it have to be a 1:1 mapping? Example: class User(object): def __init__(self, name, username, password, year_of_birth): self.name = name self.username = username self.password = password self.year_of_birth = year_of_birth Say, for whatever reason, I only wish to map the name, username and password to the database and leave out the year_of_birth. Is that possible and will this create problems? Edit - 25/03/2010 Additionally, say I want to map username and year_of_birth to a separate database. Will this database and the one above still be connected (via username)?

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  • How to map coordinates in AxesImage to coordinates in saved image file?

    - by Vebjorn Ljosa
    I use matplotlib to display a matrix of numbers as an image, attach labels along the axes, and save the plot to a PNG file. For the purpose of creating an HTML image map, I need to know the pixel coordinates in the PNG file for a region in the image being displayed by imshow. I have found an example of how to do this with a regular plot, but when I try to do the same with imshow, the mapping is not correct. Here is my code, which saves an image and attempts to print the pixel coordinates of the center of each square on the diagonal: import numpy as np import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_axes([0.1, 0.1, 0.8, 0.8]) axim = ax.imshow(np.random.random((27,27)), interpolation='nearest') for x, y in axim.get_transform().transform(zip(range(28), range(28))): print int(x), int(fig.get_figheight() * fig.get_dpi() - y) plt.savefig('foo.png', dpi=fig.get_dpi()) Here is the resulting foo.png, shown as a screenshot in order to include the rulers: The output of the script starts and ends as follows: 73 55 92 69 111 83 130 97 149 112 … 509 382 528 396 547 410 566 424 585 439 As you see, the y-coordinates are correct, but the x-coordinates are stretched: they range from 73 to 585 instead of the expected 135 to 506, and they are spaced 19 pixels o.c. instead of the expected 14. What am I doing wrong?

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  • Good way to edit the previous defined class in ipython

    - by leo
    Hi, I am wondering a good way to follow if i would like to redefine the members of a previous defined class in ipython. say : I have defined a class intro like below, and later i want to redefine part of the function definition _print_api. Any way to do that without retyping it . class intro(object): def _print_api(self,obj): def _print(key): if key.startswith('_'): return '' value = getattr(obj,key) if not hasattr(value,im_func): doc = type(valuee).__name__ else: if value.__doc__ is None: doc = 'no docstring' else: doc = value.__doc__ return ' %s :%s' %(key,doc) res = [_print(element) for element in dir(obj)] return '\n'.join([element for element in res if element != '']) def __get__(self,instance,klass): if instance is not None: return self._print(instance) else: return self._print_api(klass)

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  • How to get "paster request" to use config host value instead of localhost?

    - by mmartinez
    I'm trying to access my pylons application via cron job to send notifications to my users. The way I'm doing this is by running the application using something like: paster request myconfig.ini /maintenance/do In the actual controller I check for the "paste.command_request" to block public access. Everything works but the only problem is that within the notifications that I send to my users there is a link to their profile and the host is "localhost" which should instead be the domain name of the application. When the notifications are sent from within the served application (say, a user modifies their settings on the site) the notifications have the correct url. I am using mako to render my email tamplates and within the template I am using the "pylons.url" method with "qualified" set to "True". Am I missing something here? Thanks in advance.

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  • Server authorization with MD5 and SQL.

    - by Charles
    I currently have a SQL database of passwords stored in MD5. The server needs to generate a unique key, then sends to the client. In the client, it will use the key as a salt then hash together with the password and send back to the server. The only problem is that the the SQL DB has the passwords in MD5 already. Therefore for this to work, I would have to MD5 the password client side, then MD5 it again with the salt. Am I doing this wrong, because it doesn't seem like a proper solution. Any information is appreciated.

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