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  • list comprehension example

    - by self
    can we use elif in list comprehension? example : l = [1, 2, 3, 4, 5] for values in l: if values==1: print 'yes' elif values==2: print 'no' else: print 'idle' can we use list comprehension for such 2 if conditions and one else condition? foe example answer like : ['yes', 'no', 'idle', 'idle', 'idle'] I have done till now only if else in list comprehension.

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  • Transaction within transaction

    - by user281521
    Hello, I want to know if open a transaction inside another is safe and encouraged? I have a method: def foo(): session.begin try: stuffs except Exception, e: session.rollback() raise e session.commit() and a method that calls the first one, inside a transaction: def bar(): stuffs try: foo() #<<<< there it is :) stuffs except Exception, e: session.rollback() raise e session.commit() if I get and exception on the foo method, all the operations will be rolled back? and everything else will work just fine? thanks!!

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  • Django context processor gets AnonymousUser

    - by myfreeweb
    instead of User. def myview(request): return render_to_response('tmpl.html', {'user': User.objects.get(id=1}) works fine and passes User to template. But def myview(request): return render_to_response('tmpl.html', {}, context_instance=RequestContext(request)) with a context processor def user(request): from django.contrib.auth.models import User return {'user': User.objects.get(id=1)} passes AnonymousUser, so I can't get the variables I need :( What's wrong?

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  • Place image over PDF

    - by Eric Acevedo
    How can I place an image over an existing PDF file at an specific coordinate location. The pdf represents a drawing sheet with one page. The image will be scaled. I'm checking ReportLab but can't find the answer. Thanks.

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  • Online job-searching is tedious. Help me automate it.

    - by ehsanul
    Many job sites have broken searches that don't let you narrow down jobs by experience level. Even when they do, it's usually wrong. This requires you to wade through hundreds of postings that you can't apply for before finding a relevant one, quite tedious. Since I'd rather focus on writing cover letters etc., I want to write a program to look through a large number of postings, and save the URLs of just those jobs that don't require years of experience. I don't require help writing the scraper to get the html bodies of possibly relevant job posts. The issue is accurately detecting the level of experience required for the job. This should not be too difficult as job posts are usually very explicit about this ("must have 5 years experience in..."), but there may be some issues with overly simple solutions. In my case, I'm looking for entry-level positions. Often they don't say "entry-level", but inclusion of the words probably means the job should be saved. Next, I can safely exclude a job the says it requires "5 years" of experience in whatever, so a regex like /\d\syears/ seems reasonable to exclude jobs. But then, I realized some jobs say they'll take 0-2 years of experience, matches the exclusion regex but is clearly a job I want to take a look at. Hmmm, I can handle that with another regex. But some say "less than 2 years" or "fewer than 2 years". Can handle that too, but it makes me wonder what other patterns I'm not thinking of, and possibly excluding many jobs. That's what brings me here, to find a better way to do this than regexes, if there is one. I'd like to minimize the false negative rate and save all the jobs that seem like they might not require many years of experience. Does excluding anything that matches /[3-9]\syears|1\d\syears/ seem reasonable? Or is there a better way? Training a bayesian filter maybe?

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  • How can I make a dashboard with all pending tasks using Celery?

    - by e-satis
    I want to have some place where I can watch all the pendings tasks. I'm not talking about the registered functions/classes as tasks, but the actual scheduled jobs for which I could display: name, task_id, eta, worker, etc. Using Celery 2.0.2 and djcelery, I found `inspect' in the documentation. I tried: from celery.task.control import inspect def get_scheduled_tasks(nodes=None): if nodes: i = inspect(nodes) else: i = inspect() scheduled_tasks = [] dump = i.scheduled() if dump: for worker, tasks in dump: for task in tasks: scheduled_task = {} scheduled_task.update(task["request"]) del task["request"] scheduled_task.update(task) scheduled_task["worker"] = worker scheduled_tasks.append(scheduled_task) return scheduled_tasks But it hangs forever on dump = i.scheduled(). Strange, because otherwise everything works. Using Ubuntu 10.04, django 1.0 and virtualenv.

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  • "Function object is unsubscriptable" in basic integer to string mapping function

    - by IanWhalen
    I'm trying to write a function to return the word string of any number less than 1000. Everytime I run my code at the interactive prompt it appears to work without issue but when I try to import wordify and run it with a test number higher than 20 it fails as "TypeError: 'function' object is unsubscriptable". Based on the error message, it seems the issue is when it tries to index numString (for example trying to extract the number 4 out of the test case of n = 24) and the compiler thinks numString is a function instead of a string. since the first line of the function is me defining numString as a string of the variable n, I'm not really sure why that is. Any help in getting around this error, or even just help in explaining why I'm seeing it, would be awesome. def wordify(n): # Convert n to a string to parse out ones, tens and hundreds later. numString = str(n) # N less than 20 is hard-coded. if n < 21: return numToWordMap(n) # N between 21 and 99 parses ones and tens then concatenates. elif n < 100: onesNum = numString[-1] ones = numToWordMap(int(onesNum)) tensNum = numString[-2] tens = numToWordMap(int(tensNum)*10) return tens+ones else: # TODO pass def numToWordMap(num): mapping = { 0:"", 1:"one", 2:"two", 3:"three", 4:"four", 5:"five", 6:"six", 7:"seven", 8:"eight", 9:"nine", 10:"ten", 11:"eleven", 12:"twelve", 13:"thirteen", 14:"fourteen", 15:"fifteen", 16:"sixteen", 17:"seventeen", 18:"eighteen", 19:"nineteen", 20:"twenty", 30:"thirty", 40:"fourty", 50:"fifty", 60:"sixty", 70:"seventy", 80:"eighty", 90:"ninety", 100:"onehundred", 200:"twohundred", 300:"threehundred", 400:"fourhundred", 500:"fivehundred", 600:"sixhundred", 700:"sevenhundred", 800:"eighthundred", 900:"ninehundred", } return mapping[num] if __name__ == '__main__': pass

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  • Lucene: Fastest way to return the document occurance of a phrase?

    - by dont say the kid's name
    Hi Guys, I am trying to use Lucene (actually PyLucene!) to find out how many documents contain my exact phrase. My code currently looks like this... but it runs rather slow. Does anyone know a faster way to return document counts? phraseList = ["some phrase 1", "some phrase 2"] #etc, a list of phrases... countsearcher = IndexSearcher(SimpleFSDirectory(File(STORE_DIR)), True) analyzer = StandardAnalyzer(Version.LUCENE_CURRENT) for phrase in phraseList: query = QueryParser(Version.LUCENE_CURRENT, "contents", analyzer).parse("\"" + phrase + "\"") scoreDocs = countsearcher.search(query, 200).scoreDocs print "count is: " + str(len(scoreDocs))

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  • Django startup importing causes reverse to happen

    - by nicknack
    This might be an isolated problem, but figured I'd ask in case someone has thoughts on a graceful approach to address it. Here's the setup: -------- views.py -------- from django.http import HttpResponse import shortcuts def mood_dispatcher(request): mood = magic_function_to_guess_my_mood(request) return HttpResponse('Please go to %s' % shortcuts.MOODS.get(mood, somedefault)) ------------ shortcuts.py ------------ MOODS = # expensive load that causes a reverse to happen The issue is that shortcuts.py causes an exception to be thrown when a reverse is attempted before django is done building the urls. However, views.py doesn't yet need to import shortcuts.py (used only when mood_dispatcher is actually called). Obvious initial solutions are: 1) Import shortcuts inline (just not very nice stylistically) 2) Make shortcuts.py build MOODS lazily (just more work) What I ideally would like is to be able to say, at the top of views.py, "import shortcuts except when loading urls"

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  • UnicodeDecodeError when redirecting to file

    - by zedoo
    Hi, I run this snippet twice, in the ubuntu terminal, (encoding set to utf-8) once with ./test.py and then with ./test.py >out.txt: uni = u"\u001A\u0BC3\u1451\U0001D10C" print uni Without redirection it prints garbage. With redirection I get a UnicodeDecodeError. Can someone explain why I get the error only in the second case, or even better give a detailed explanation of what's going on behind the curtain in both cases?

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  • SQL Alchemy: Relationship with grandson

    - by giomasce
    I'm building a SQL Alchemy structure with three different levels of objects; for example, consider a simple database to store information about some blogs: there are some Blog object, some Post object and some Comment objects. Each Post belongs to a Blog and each Comment belongs to a Post. Using backref I can automatically have the list of all Posts belonging to a Blog and similarly for Comments. I drafted a skeleton for such a structure. What I would like to do now is to have directly in Blog an array of all the Comments belonging to that Blog. I've tried a few approaches, but they don't work or even make SQL Alchemy cry in ways I can't fix. I'd think that mine is quite a frequent need, but I couldn't find anything helpful. Colud someone suggest me how to do that? Thanks.

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  • Passing parameter to base class constructor or using instance variable?

    - by deamon
    All classes derived from a certain base class have to define an attribute called "path". In the sense of duck typing I could rely upon definition in the subclasses: class Base: pass # no "path" variable here def Sub(Base): def __init__(self): self.path = "something/" Another possiblity would be to use the base class constructor: class Base: def __init__(self, path): self.path = path def Sub(Base): def __init__(self): super().__init__("something/") What would you prefer and why? Is there a better way?

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  • Assign variable with variable in function

    - by freakazo
    Let's say we have def Foo(Bar=0,Song=0): print(Bar) print(Song) And I want to assign any one of the two parameters in the function with the variable sing and SongVal: Sing = Song SongVal = 2 So that it can be run like: Foo(Sing=SongVal) Where Sing would assign the Song parameter to the SongVal which is 2. The result should be printed like so: 0 2 So should I rewrite my function or is it possible to do it the way I want to? (With the code above you get an error saying Foo has no parameter Sing. Which I understand why, any way to overcome this without rewriting the function too much? Thanks in advance!

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  • How to create and restore a backup from SqlAlchemy?

    - by swilliams
    I'm writing a Pylons app, and am trying to create a simple backup system where every table is serialized and tarred up into a single file for an administrator to download, and use to restore the app should something bad happen. I can serialize my table data just fine using the SqlAlchemy serializer, and I can deserialize it fine as well, but I can't figure out how to commit those changes back to the database. In order to serialize my data I am doing this: from myproject.model.meta import Session from sqlalchemy.ext.serializer import loads, dumps q = Session.query(MyTable) serialized_data = dumps(q.all()) In order to test things out, I go ahead and truncation MyTable, and then attempt to restore using serialized_data: from myproject.model import meta restore_q = loads(serialized_data, meta.metadata, Session) This doesn't seem to do anything... I've tried calling a Session.commit after the fact, individually walking through all the objects in restore_q and adding them, but nothing seems to work. What am I missing? Or is there a better way to do what I'm aiming for? I don't want to shell out and directly touch the database, since SqlAlchemy supports different database engines.

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  • Referencing other modules in atexit

    - by Dmitry Risenberg
    I have a function that is responsible for killing a child process when the program ends: class MySingleton: def __init__(self): import atexit atexit.register(self.stop) def stop(self): os.kill(self.sel_server_pid, signal.SIGTERM) However I get an error message when this function is called: Traceback (most recent call last): File "/usr/lib/python2.5/atexit.py", line 24, in _run_exitfuncs func(*targs, **kargs) File "/home/commando/Development/Diploma/streaminatr/stream/selenium_tests.py", line 66, in stop os.kill(self.sel_server_pid, signal.SIGTERM) AttributeError: 'NoneType' object has no attribute 'kill' Looks like the os and signal modules get unloaded before atexit is called. Re-importing them solves the problem, but this behaviour seems weird to me - these modules are imported before I register my handler, so why are they unloaded before my own exit handler runs?

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  • Horizontal scrolling in a wx.RichTextCtrl

    - by Sam
    I have a RichTextCtrl created as follows: self.userlist = wx.richtext.RichTextCtrl(self, style=wx.TE_MULTILINE|wx.TE_READONLY|wx.HSCROLL) It all works fine, except for the wx.HSCROLL style. If I change the RichTextCtrl to a regular TextCtrl, it correctly horizontal scrolls on long lines, rather than wrapping, but on the RichTextCtrl it wraps regardless. Is there an easy way to make it scroll horizontally? (I do, unfortunately, need the RichTextCtrl's featureset for this object.)

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  • What is the difference between a site and an app in Django?

    - by larf311
    I know a site can have many apps but all the examples I see have the site called "mysite". I figured the site would be the name of your site, like StackOverflow for example. Would you do that and then have apps like "authentication", "questions", and "search"? Or would you really just have a site called mysite with one app called StackOverflow?

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  • Serving large generated files using Google App Engine?

    - by John Carter
    Hiya, Presently I have a GAE app that does some offline processing (backs up a user's data), and generates a file that's somewhere in the neighbourhood of 10 - 100 MB. I'm not sure of the best way to serve this file to the user. The two options I'm considering are: Adding some code to the offline processing code that 'spoofs' it as a form upload to the blob store, and going thru the normal blobstore process to serve the file. Having the offline processing code store the file somewhere off of GAE, and serving it from there. Is there a much better approach I'm overlooking? I'm guessing this is functionality that isn't well suited to GAE. I had thought of storing in the datastore as db.Text or Dd.Blob but there I encounter the 1 MB limit. Any input would be appreciated,

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  • ndarray field names for both row and column?

    - by Graham Mitchell
    I'm a computer science teacher trying to create a little gradebook for myself using NumPy. But I think it would make my code easier to write if I could create an ndarray that uses field names for both the rows and columns. Here's what I've got so far: import numpy as np num_stud = 23 num_assign = 2 grades = np.zeros(num_stud, dtype=[('assign 1','i2'), ('assign 2','i2')]) #etc gv = grades.view(dtype='i2').reshape(num_stud,num_assign) So, if my first student gets a 97 on 'assign 1', I can write either of: grades[0]['assign 1'] = 97 gv[0][0] = 97 Also, I can do the following: np.mean( grades['assign 1'] ) # class average for assignment 1 np.sum( gv[0] ) # total points for student 1 This all works. But what I can't figure out how to do is use a student id number to refer to a particular student (assume that two of my students have student ids as shown): grades['123456']['assign 2'] = 95 grades['314159']['assign 2'] = 83 ...or maybe create a second view with the different field names? np.sum( gview2['314159'] ) # total points for the student with the given id I know that I could create a dict mapping student ids to indices, but that seems fragile and crufty, and I'm hoping there's a better way than: id2i = { '123456': 0, '314159': 1 } np.sum( gv[ id2i['314159'] ] ) I'm also willing to re-architect things if there's a cleaner design. I'm new to NumPy, and I haven't written much code yet, so starting over isn't out of the question if I'm Doing It Wrong. I am going to be needing to sum all the assignment points for over a hundred students once a day, as well as run standard deviations and other stats. Plus, I'll be waiting on the results, so I'd like it to run in only a couple of seconds. Thanks in advance for any suggestions.

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