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  • How do I print the Images?

    - by user1477539
    I want to print the images of the 30 nba teams drafting in the first round. However when I tell it to print it prints out the link instead of the image. How do I get it to print out the image instead of giving me the image link. Here's my code: import urllib2 from BeautifulSoup import BeautifulSoup # or if your're using BeautifulSoup4: # from bs4 import BeautifulSoup soup = BeautifulSoup(urllib2.urlopen('http://www.cbssports.com/nba/draft/mock-draft').read()) rows = soup.findAll("table", attrs = {'class': 'data borderTop'})[0].tbody.findAll("tr")[2:] for row in rows: fields = row.findAll("td") if len(fields) >= 3: anchor = row.findAll("td")[1].find("a") if anchor: print anchor

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  • Lighttpd + fastcgi + python (for django) slow on first request

    - by EagleOne
    I'm having a problem with a django website I host with lighttpd + fastcgi. It works great but it seems that the first request always takes up to 3seconds. Subsequent requests are much faster (<1s). I activated access logs in lighttpd in order to track the issue. But I'm kind of stuck. Here are logs where I 'lose' 4s (from 10:04:17 to 10:04:21): 2012-12-01 10:04:17: (mod_fastcgi.c.3636) handling it in mod_fastcgi 2012-12-01 10:04:17: (response.c.470) -- before doc_root 2012-12-01 10:04:17: (response.c.471) Doc-Root : /var/www 2012-12-01 10:04:17: (response.c.472) Rel-Path : /finderauto.fcgi 2012-12-01 10:04:17: (response.c.473) Path : 2012-12-01 10:04:17: (response.c.521) -- after doc_root 2012-12-01 10:04:17: (response.c.522) Doc-Root : /var/www 2012-12-01 10:04:17: (response.c.523) Rel-Path : /finderauto.fcgi 2012-12-01 10:04:17: (response.c.524) Path : /var/www/finderauto.fcgi 2012-12-01 10:04:17: (response.c.541) -- logical -> physical 2012-12-01 10:04:17: (response.c.542) Doc-Root : /var/www 2012-12-01 10:04:17: (response.c.543) Rel-Path : /finderauto.fcgi 2012-12-01 10:04:17: (response.c.544) Path : /var/www/finderauto.fcgi 2012-12-01 10:04:21: (response.c.128) Response-Header: HTTP/1.1 200 OK Last-Modified: Sat, 01 Dec 2012 09:04:21 GMT Expires: Sat, 01 Dec 2012 09:14:21 GMT Content-Type: text/html; charset=utf-8 Cache-Control: max-age=600 Transfer-Encoding: chunked Date: Sat, 01 Dec 2012 09:04:21 GMT Server: lighttpd/1.4.28 I guess that if there is a problem, it's whith my configuration. So here is the way I launch my django app: python manage.py runfcgi method=threaded host=127.0.0.1 port=3033 And here is my lighttpd conf: server.modules = ( "mod_access", "mod_alias", "mod_compress", "mod_redirect", "mod_rewrite", "mod_fastcgi", "mod_accesslog", ) server.document-root = "/var/www" server.upload-dirs = ( "/var/cache/lighttpd/uploads" ) server.errorlog = "/var/log/lighttpd/error.log" server.pid-file = "/var/run/lighttpd.pid" server.username = "www-data" server.groupname = "www-data" accesslog.filename = "/var/log/lighttpd/access.log" debug.log-request-header = "enable" debug.log-response-header = "enable" debug.log-file-not-found = "enable" debug.log-request-handling = "enable" debug.log-timeouts = "enable" debug.log-ssl-noise = "enable" debug.log-condition-cache-handling = "enable" debug.log-condition-handling = "enable" fastcgi.server = ( "/finderauto.fcgi" => ( "main" => ( # Use host / port instead of socket for TCP fastcgi "host" => "127.0.0.1", "port" => 3033, #"socket" => "/home/finderadmin/finderauto.sock", "check-local" => "disable", "fix-root-scriptname" => "enable", ) ), ) alias.url = ( "/media" => "/home/user/django/contrib/admin/media/", ) url.rewrite-once = ( "^(/media.*)$" => "$1", "^/favicon\.ico$" => "/media/favicon.ico", "^(/.*)$" => "/finderauto.fcgi$1", ) index-file.names = ( "index.php", "index.html", "index.htm", "default.htm", " index.lighttpd.html" ) url.access-deny = ( "~", ".inc" ) static-file.exclude-extensions = ( ".php", ".pl", ".fcgi" ) ## Use ipv6 if available #include_shell "/usr/share/lighttpd/use-ipv6.pl" dir-listing.encoding = "utf-8" server.dir-listing = "enable" compress.cache-dir = "/var/cache/lighttpd/compress/" compress.filetype = ( "application/x-javascript", "text/css", "text/html", "text/plain" ) include_shell "/usr/share/lighttpd/create-mime.assign.pl" include_shell "/usr/share/lighttpd/include-conf-enabled.pl" If any of you could help me finding out where I lose these 3 or 4 s. I would much appreciate. Thanks in advance!

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  • Are there any other ways to iterate through the attributes of a custom class, excluding the in-built ones?

    - by Ricardo Altamirano
    Is there another way to iterate through only the attributes of a custom class that are not in-built (e.g. __dict__, __module__, etc.)? For example, in this code: class Terrain: WATER = -1 GRASS = 0 HILL = 1 MOUNTAIN = 2 I can iterate through all of these attributes like this: for key, value in Terrain.__dict__.items(): print("{: <11}".format(key), " --> ", value) which outputs: MOUNTAIN --> 2 __module__ --> __main__ WATER --> -1 HILL --> 1 __dict__ --> <attribute '__dict__' of 'Terrain' objects> GRASS --> 0 __weakref__ --> <attribute '__weakref__' of 'Terrain' objects> __doc__ --> None If I just want the integer arguments (a rudimentary version of an enumerated type), I can use this: for key, value in Terrain.__dict__.items(): if type(value) is int: # type(value) == int print("{: <11}".format(key), " --> ", value) this gives the expected result: MOUNTAIN --> 2 WATER --> -1 HILL --> 1 GRASS --> 0 Is it possible to iterate through only the non-in-built attributes of a custom class independent of type, e.g. if the attributes are not all integral. Presumably I could expand the conditional to include more types, but I want to know if there are other ways I'm missing.

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  • How do I override file.write() under Python 3?

    - by Sorin Sbarnea
    Below works on Python 2.6 but on Python 3.x it doesn't: old_file_write = file.write class file(): def write(self, d): if isinstance(d, types.bytes): self.buffer.write(d) else: old_file_write(d) # ... do something like f = open("x") f.write("...") The problems is that with Python 3.x the first like will generate an error: NameError: name 'file' is not defined How can I make this work on Python 3.x? PS. In fact I'm looking for a solution that will work on both versions.

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  • Can I do a reduce on a list comprehension into two lists, based on two values?

    - by pdknsk
    I've got the following code. sum_review = reduce(add,[book['rw'] for book in books]) sum_rating = reduce(add,[book['rg'] for book in books]) items = len(books) avg_review = sum_review/items avg_rating = sum_rating/items What I'd like is this. sum_review,sum_rating = reduce(add,([book['rw'],[book['rg']) for book in books]) items = len(books) avg_review = sum_review/items avg_rating = sum_rating/items Obviously this doesn't work. How can I solve this redundancy, without a regular loop?

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  • Sharing base object with inheritance

    - by max
    I have class Base. I'd like to extend its functionality in a class Derived. I was planning to write: class Derived(Base): def __init__(self, base_arg1, base_arg2, derived_arg1, derived_arg2): super().__init__(base_arg1, base_arg2) # ... def derived_method1(self): # ... Sometimes I already have a Base instance, and I want to create a Derived instance based on it, i.e., a Derived instance that shares the Base object (doesn't re-create it from scratch). I thought I could write a static method to do that: b = Base(arg1, arg2) # very large object, expensive to create or copy d = Derived.from_base(b, derived_arg1, derived_arg2) # reuses existing b object but it seems impossible. Either I'm missing a way to make this work, or (more likely) I'm missing a very big reason why it can't be allowed to work. Can someone explain which one it is? [Of course, if I used composition rather than inheritance, this would all be easy to do. But I was hoping to avoid the delegation of all the Base methods to Derived through __getattr__.]

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  • Jython 'unknown enocoding ms932' on japanese system

    - by Houtman
    i've written a program in Jython 2.5.1 which works fine on my Windows 7 machine, but on a japanese machine it throws an Exception saying "unknown encoding 'ms932'" i found that codecs.java is the only module printing the unknown encoding 'xyz' message this file loads aliases.py which does contain # cp932 codec '932' : 'cp932', 'ms932' : 'cp932', 'mskanji' : 'cp932', 'ms_kanji' : 'cp932', The file cp932.py contains import _codecs_jp, codecs But.. _codecs_jp does not exist as is also discussed in this page Does anyone have a clue where to go from here ? http://web.archiveorange.com/archive/v/8tc1Zc2rV3qiUcy9zPlA

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  • Accessing parent class attribute from sub-class body

    - by warwaruk
    I have a class Klass with a class attribute my_list. I have a subclass of it SubKlass, in which i want to have a class attribute my_list which is a modified version of the same attribute from parent class: class Klass(): my_list = [1, 2, 3] class SubKlass(Klass): my_list = Klass.my_list + [4, 5] # this works, but i must specify parent class explicitly #my_list = super().my_list + [4, 5] # SystemError: super(): __class__ cell not found #my_list = my_list + [4, 5] # NameError: name 'my_list' is not defined print(Klass.my_list) print(SubKlass.my_list) So, is there a way to access parent class attribute without specifying its name?

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  • Set the right two characters (if there are any) to capitals?

    - by Hyflex
    Below is my data: Data Here 94/452O Data more 94/4522i Data bla 94/111 Data bla 94/459es Data bla 94/444 items is automatically generated by some previous code but it could come out like: items = ["Data Here 94/452O", "Data more 94/4522i", "Data bla 94/111", "Data bla 94/459es", "Data bla 94/444"] Now currently I'm appending the following: "\n".join(items).replace("4ke", "9") with a few other .replaces however I want it to replace/change the characters on the end of the numbers with a capital letter instead of lowercase... Output: Data Here 94/452O Data more 94/4522I Data bla 94/111 Data bla 94/459ES Data bla 94/444

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  • How do I require a login for a user in Django?

    - by Di Zou
    In my urls.py I have this: (r'^myapp/$', 'myapp.views.views.index'), (r'^myapp/login/$', 'myapp.views.views.login_user'), In my settings.py I have this: LOGIN_URL = '/myapp/login' In my views.py I have this: @login_required((login_url='/myapp/login/') def index(request): return render_to_response('index.html') def login_user(request): #login stuff return render(request, 'registration/login.html', {'state':state, 'username': username}) I can go to mysite.com/myapp/login and the login page works. However, when I go to mysite.com/myapp/index I do not get redirected to the login page even though I am logged out. Why is that and how do I fix it?

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  • list within a list

    - by atm atm
    I'm working on this problem, but I cannot figure out the second part. I tried using reverse list but it did not work out how I planned it. Given a list L (e.g. [1,2,3,4]), write a program that generates the following nested lists: L1 = [[1],[1,2],[1,2,3],[1,2,3,4]], L2 = [[4],[3,4],[2,3,4],[1,2,3,4]]. My code that I have so far: mylist=[,1,2,3,4] print("Orginal list L=",mylist) n=len(mylist) l1=[] l2=[] for x in range(1,n+1,1): l1.append(mylist[0:x]) print("L1=",l1) #prints final product of l1 mylist.reverse() #this is where i get messed up for x in range(1,n+1,1): l2.append(mylist[0:x]) print("L2=",l2)

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  • How to write a list to a text file in the correct format

    - by lia1000
    I've got this piece of code that I want to write the output to a text file but with the correct format i.e. no brackets, single quotes so it appears as a formatted list. This is the code: file = open("env5.txt", "w"); for key in os.environ.keys(): env = os.environ[key]; key1 = key; list = str([key, env]).replace("'","").replace('[]', ''); list2 = list[1:-1]; print(list2); file.writelines(list2); file.close(); This is the original code: for key in os.environ.keys(): print(key, os.environ[key]); Many thanks

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  • Removing words from a file

    - by user1765792
    I'm trying to take a regular text file and remove words identified in a separate file (stopwords) containing the words to be removed separated by carriage returns ("\n"). Right now I'm converting both files into lists so that the elements of each list can be compared. I got this function to work, but it doesn't remove all of the words I have specified in the stopwords file. Any help is greatly appreciated. def elimstops(file_str): #takes as input a string for the stopwords file location stop_f = open(file_str, 'r') stopw = stop_f.read() stopw = stopw.split('\n') text_file = open('sample.txt') #Opens the file whose stop words will be eliminated prime = text_file.read() prime = prime.split(' ') #Splits the string into a list separated by a space tot_str = "" #total string i = 0 while i < (len(stopw)): if stopw[i] in prime: prime.remove(stopw[i]) #removes the stopword from the text else: pass i += 1 # Creates a new string from the compilation of list elements # with the stop words removed for v in prime: tot_str = tot_str + str(v) + " " return tot_str

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  • wrap all lines that are longer than line length

    - by user1919840
    I am writing a program that limits each line to a certain length. this is what i got so far, i am almost done but i still need to cut each line, but i cant figure it out. def main(): filename = input("Please enter the name of the file to be used: ") openFile = open(filename, 'r+') file = openFile.read() lLength = int(input("enter a number between 10 & 20: ")) while (lLength < 10) or (lLength > 20) : print("Invalid input, please try again...") lLength = int(input("enter a number between 10 & 20: ")) wr = textwrap.TextWrapper() wraped = wr.wrap(file) print("Here is your output formated to a max of", lLength, "characters per line: ") wr.width = lLength wr.expand_tabs = True for lines in wraped: print(lines) an example of what the output SHOULD be is this. If the file specified contains this text: hgytuinghdt #here the length is 11 ughtnjuiknshfyth #here the length is 16 nmjhkaiolgytuhngjuin #here the length is 20 and the lLength is specified to 15 then this should print out: hgytuinghdt ughtnjuiknshfyt h nmjhkaiolgytuhng juin Thanks.

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  • process the data after using str.split

    - by juju
    I parse a .txt like this: def parse_file(src): for line in src.readlines(): if re.search('SecId', line): continue else: cols = line.split(',') Time = cols[4] output_file.write('{}\n'.format( Time)) I think cols are lists that I could use index. Although it succeeds in printing out correct result as I want, there exists an out of range error. What's the matter? File "./tdseq.py", line 37, in parse_file Time = cols[4] IndexError: list index out of range make: *** [all] Error 1 Data I use: I10.FE,--,2008-04-16,15:15:00,13450,13488,13450,13470,490,359,16APR2008:09:15:00 I10.FE,--,2008-04-16,15:16:00,13468,13473.8,13467,13467,306,521,16APR2008:09:16:00 ....

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  • Empty value when iterating a dictionary with .iteritems() method

    - by ptpatil
    I am having some weird trouble with dictionaries, I am trying to iterate pairs from a dictionary to pass to another function. The loop for the iterator though for some reason always returns empty values. Here is the code: def LinktoCentral(self, linkmethod): if linkmethod == 'sim': linkworker = Linker.SimilarityLinker() matchlist = [] for k,v in self.ToBeMatchedTable.iteritems(): matchlist.append(k, linkworker.GetBestMatch(v, self.CentralDataTable.items())) Now if I insert a print line above the for loop: matchlist = [] print self.ToBeMatchedTable.items() for k,v in self.ToBeMatchedTable.iteritems(): matchlist.append(k, linkworker.GetBestMatch(v, self.CentralDataTable.items())) I get the data that is supposed to be in the dictionary printed out. The values of the dictionary are list objects. An example tuple I get from the dictionary when printing just above the for loop: >>> (1, ['AARP/United Health Care', '8002277789', 'PO Box 740819', 'Atlanta', 'GA', '30374-0819', 'Paper', '3676']) However, the for loop gives empty lists to the linkworker.GetBestMatch method. If I put a print line just below the for loop, here is what I get: Code: matchlist = [] for k,v in self.ToBeMatchedTable.iteritems(): print self.ToBeMatchedTable.items() matchlist.append(k, linkworker.GetBestMatch(v, self.CentralDataTable.items())) ## Place holder for line to send match list to display window return matchlist Result of first iteration: >>> (0, ['', '', '', '', '', '', '', '']) I literally have no idea whats going on, there is nothing else going on while this loop is executed. Any stupid mistakes I made?

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  • Python - pyparsing unicode characters

    - by mgj
    Hi..:) I tried using w = Word(printables), but it isn't working. How should I give the spec for this. 'w' is meant to process Hindi characters (UTF-8) The code specifies the grammar and parses accordingly. 671.assess :: ????? ::2 x=number + "." + src + "::" + w + "::" + number + "." + number If there is only english characters it is working so the code is correct for the ascii format but the code is not working for the unicode format. I mean that the code works when we have something of the form 671.assess :: ahsaas ::2 i.e. it parses words in the english format, but I am not sure how to parse and then print characters in the unicode format. I need this for English Hindi word alignment for purpose. The python code looks like this: # -*- coding: utf-8 -*- from pyparsing import Literal, Word, Optional, nums, alphas, ZeroOrMore, printables , Group , alphas8bit , # grammar src = Word(printables) trans = Word(printables) number = Word(nums) x=number + "." + src + "::" + trans + "::" + number + "." + number #parsing for eng-dict efiledata = open('b1aop_or_not_word.txt').read() eresults = x.parseString(efiledata) edict1 = {} edict2 = {} counter=0 xx=list() for result in eresults: trans=""#translation string ew=""#english word xx=result[0] ew=xx[2] trans=xx[4] edict1 = { ew:trans } edict2.update(edict1) print len(edict2) #no of entries in the english dictionary print "edict2 has been created" print "english dictionary" , edict2 #parsing for hin-dict hfiledata = open('b1aop_or_not_word.txt').read() hresults = x.scanString(hfiledata) hdict1 = {} hdict2 = {} counter=0 for result in hresults: trans=""#translation string hw=""#hin word xx=result[0] hw=xx[2] trans=xx[4] #print trans hdict1 = { trans:hw } hdict2.update(hdict1) print len(hdict2) #no of entries in the hindi dictionary print"hdict2 has been created" print "hindi dictionary" , hdict2 ''' ####################################################################################################################### def translate(d, ow, hinlist): if ow in d.keys():#ow=old word d=dict print ow , "exists in the dictionary keys" transes = d[ow] transes = transes.split() print "possible transes for" , ow , " = ", transes for word in transes: if word in hinlist: print "trans for" , ow , " = ", word return word return None else: print ow , "absent" return None f = open('bidir','w') #lines = ["'\ #5# 10 # and better performance in business in turn benefits consumers . # 0 0 0 0 0 0 0 0 0 0 \ #5# 11 # vHyaapaar mEmn bEhtr kaam upbhOkHtaaomn kE lIe laabhpHrdd hOtaa hAI . # 0 0 0 0 0 0 0 0 0 0 0 \ #'"] data=open('bi_full_2','rb').read() lines = data.split('!@#$%') loc=0 for line in lines: eng, hin = [subline.split(' # ') for subline in line.strip('\n').split('\n')] for transdict, source, dest in [(edict2, eng, hin), (hdict2, hin, eng)]: sourcethings = source[2].split() for word in source[1].split(): tl = dest[1].split() otherword = translate(transdict, word, tl) loc = source[1].split().index(word) if otherword is not None: otherword = otherword.strip() print word, ' <-> ', otherword, 'meaning=good' if otherword in dest[1].split(): print word, ' <-> ', otherword, 'trans=good' sourcethings[loc] = str( dest[1].split().index(otherword) + 1) source[2] = ' '.join(sourcethings) eng = ' # '.join(eng) hin = ' # '.join(hin) f.write(eng+'\n'+hin+'\n\n\n') f.close() ''' if an example input sentence for the source file is: 1# 5 # modern markets : confident consumers # 0 0 0 0 0 1# 6 # AddhUnIk baajaar : AshHvsHt upbhOkHtaa . # 0 0 0 0 0 0 !@#$% the ouptut would look like this :- 1# 5 # modern markets : confident consumers # 1 2 3 4 5 1# 6 # AddhUnIk baajaar : AshHvsHt upbhOkHtaa . # 1 2 3 4 5 0 !@#$% Output Explanation:- This achieves bidirectional alignment. It means the first word of english 'modern' maps to the first word of hindi 'AddhUnIk' and vice versa. Here even characters are take as words as they also are an integral part of bidirectional mapping. Thus if you observe the hindi WORD '.' has a null alignment and it maps to nothing with respect to the English sentence as it doesn't have a full stop. The 3rd line int the output basically represents a delimiter when we are working for a number of sentences for which your trying to achieve bidirectional mapping. What modification should i make for it to work if the I have the hindi sentences in Unicode(UTF-8) format.

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  • Python/numpy tricky slicing problem

    - by daver
    Hi stack overflow, I have a problem with some numpy stuff. I need a numpy array to behave in an unusual manner by returning a slice as a view of the data I have sliced, not a copy. So heres an example of what I want to do: Say we have a simple array like this: a = array([1, 0, 0, 0]) I would like to update consecutive entries in the array (moving left to right) with the previous entry from the array, using syntax like this: a[1:] = a[0:3] This would get the following result: a = array([1, 1, 1, 1]) Or something like this: a[1:] = 2*a[:3] # a = [1,2,4,8] To illustrate further I want the following kind of behaviour: for i in range(len(a)): if i == 0 or i+1 == len(a): continue a[i+1] = a[i] Except I want the speed of numpy. The default behavior of numpy is to take a copy of the slice, so what I actually get is this: a = array([1, 1, 0, 0]) I already have this array as a subclass of the ndarray, so I can make further changes to it if need be, I just need the slice on the right hand side to be continually updated as it updates the slice on the left hand side. Am I dreaming or is this magic possible? Update: This is all because I am trying to use Gauss-Seidel iteration to solve a linear algebra problem, more or less. It is a special case involving harmonic functions, I was trying to avoid going into this because its really not necessary and likely to confuse things further, but here goes. The algorithm is this: while not converged: for i in range(len(u[:,0])): for j in range(len(u[0,:])): # skip over boundary entries, i,j == 0 or len(u) u[i,j] = 0.25*(u[i-1,j] + u[i+1,j] + u[i, j-1] + u[i,j+1]) Right? But you can do this two ways, Jacobi involves updating each element with its neighbours without considering updates you have already made until the while loop cycles, to do it in loops you would copy the array then update one array from the copied array. However Gauss-Seidel uses information you have already updated for each of the i-1 and j-1 entries, thus no need for a copy, the loop should essentially 'know' since the array has been re-evaluated after each single element update. That is to say, every time we call up an entry like u[i-1,j] or u[i,j-1] the information calculated in the previous loop will be there. I want to replace this slow and ugly nested loop situation with one nice clean line of code using numpy slicing: u[1:-1,1:-1] = 0.25(u[:-2,1:-1] + u[2:,1:-1] + u[1:-1,:-2] + u[1:-1,2:]) But the result is Jacobi iteration because when you take a slice: u[:,-2,1:-1] you copy the data, thus the slice is not aware of any updates made. Now numpy still loops right? Its not parallel its just a faster way to loop that looks like a parallel operation in python. I want to exploit this behaviour by sort of hacking numpy to return a pointer instead of a copy when I take a slice. Right? Then every time numpy loops, that slice will 'update' or really just replicate whatever happened in the update. To do this I need slices on both sides of the array to be pointers. Anyway if there is some really really clever person out there that awesome, but I've pretty much resigned myself to believing the only answer is to loop in C.

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  • Allocation algorithm help, using Python.

    - by Az
    Hi there, I've been working on this general allocation algorithm for students. The pseudocode for it (a Python implementation) is: for a student in a dictionary of students: for student's preference in a set of preferences (ordered from 1 to 10): let temp_project be the first preferred project check if temp_project is available if so, allocate it to them and make the project UNavailable to others Quite simply this will try to allocate projects by starting from their most preferred. The way it works, out of a set of say 100 projects, you list 10 you would want to do. So the 10th project wouldn't be the "least preferred overall" but rather the least preferred in their chosen set, which isn't so bad. Obviously if it can't allocate a project, a student just reverts to the base case which is an allocation of None, with a rank of 11. What I'm doing is calculating the allocation "quality" based on a weighted sum of the ranks. So the lower the numbers (i.e. more highly preferred projects), the better the allocation quality (i.e. more students have highly preferred projects). That's basically what I've currently got. Simple and it works. Now I'm working on this algorithm that tries to minimise the allocation weight locally (this pseudocode is a bit messy, sorry). The only reason this will probably work is because my "search space" as it is, isn't particularly large (just a very general, anecdotal observation, mind you). Since the project is only specific to my Department, we have their own limits imposed. So the number of students can't exceed 100 and the number of preferences won't exceed 10. for student in a dictionary/list/whatever of students: where i = 0 take the (i)st student, (i+1)nd student for their ranks: allocate the projects and set local_weighting to be sum(student_i.alloc_proj_rank, student_i+1.alloc_proj_rank) these are the cases: if local_weighting is 2 (i.e. both ranks are 1): then i += 1 and and continue above if local weighting is = N>2 (i.e. one or more ranks are greater than 1): let temp_local_weighting be N: pick student with lowest rank and then move him to his next rank and pick the other student and reallocate his project after this if temp_local_weighting is < N: then allocate those projects to the students move student with lowest rank to the next rank and reallocate other if temp_local_weighting < previous_temp_allocation: let these be the new allocated projects try moving for the lowest rank and reallocate other else: if this weighting => previous_weighting let these be the allocated projects i += 1 and move on for the rest of the students So, questions: This is sort of a modification of simulated annealing, but any sort of comments on this would be appreciated. How would I keep track of which student is (i) and which student is (i+1) If my overall list of students is 100, then the thing would mess up on (i+1) = 101 since there is none. How can I circumvent that? Any immediate flaws that can be spotted? Extra info: My students dictionary is designed as such: students[student_id] = Student(student_id, student_name, alloc_proj, alloc_proj_rank, preferences) where preferences is in the form of a dictionary such that preferences[rank] = {project_id}

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  • Error in python - don't understand

    - by Jasper
    Hi, I'm creating a game, and am quite new to Python generally. I created a function 'descriptionGenerator()' which generates a description for characters and objects either randomly or using variables passed to it. It seemed to be working, but every now and then it wouldn't work correctly. So i placed it in a loop, and it never seems to be able to complete the loop without one of the iterations having this problem. The code is as follows: #+------------------------------------------+ #| Name: bitsandpieces.py | #| A module for the 'Europa I' game | #| created for the Game Making Competition | #| | #| Date Created/Modified: | #| 3/4/10 | 3/4/10 | #+------------------------------------------+ # Import the required modules # Import system modules: import time import random # Import 3rd party modules: # Import game modules: # Define the 'descriptionGenerator()' function def descriptionGenerator(descriptionVariables): descriptionVariableSize = len(descriptionVariables) if descriptionVariables[0] == 'char': # If there is only one variable ('char'), create a random description if descriptionVariableSize == 1: # Define choices for descriptionVariables to be generated from gender_choices = ['male', 'female'] hair_choices = ['black', 'red', 'blonde', 'grey', 'brown', 'blue'] hair_choices2 = ['long', 'short', 'cropped', 'curly'] size_choices = ['tubby', 'thin', 'fat', 'almost twig-like'] demeanour_choices = ['glowering', 'bright', 'smiling', 'sombre', 'intelligent'] impression_choices = ['likeable', 'unlikeable', 'dangerous', 'annoying', 'afraid'] # Define description variables gender = random.choice(gender_choices) height = str(float('0.' + str(random.randint(1, 9))) + float(random.randint(1, 2))) if float(height) > 1.8: height_string = 'tall' if float(height) > 2: height_string = 'very tall' elif float(height) < 1.8 and float(height) > 1.5: height_string = 'average' elif float(height) < 1.5: height_string = 'short' if float(height) < 1.3: height_string = 'very short' hair = random.choice(hair_choices2) + ' ' + random.choice(hair_choices) size = random.choice(size_choices) demeanour = random.choice(demeanour_choices) impression = random.choice(impression_choices) # Collect description variables in list 'randomDescriptionVariables' randomDescriptionVariables = ['char', gender, height, height_string, hair, size, demeanour, impression] # Generate description using the 'descriptionGenerator' function descriptionGenerator(randomDescriptionVariables) # Generate the description of a character using the variables passed to the function elif descriptionVariableSize == 8: if descriptionVariables[1] == 'male': if descriptionVariables[7] != 'afraid': print """A %s man, about %s m tall. He has %s hair and is %s. He is %s and you get the impression that he is %s.""" %(descriptionVariables[3], descriptionVariables[2], descriptionVariables[4], descriptionVariables[5], descriptionVariables[6], descriptionVariables[7]) elif descriptionVariables[7] == 'afraid': print """A %s man, about %s m tall. He has %s hair and is %s. He is %s.\nYou feel that you should be %s of him.""" %(descriptionVariables[3], descriptionVariables[2], descriptionVariables[4], descriptionVariables[5], descriptionVariables[6], descriptionVariables[7]) elif descriptionVariables[1] == 'female': if descriptionVariables[7] != 'afraid': print """A %s woman, about %s m tall. She has %s hair and is %s. She is %s and you get the impression that she is %s.""" %(descriptionVariables[3], descriptionVariables[2], descriptionVariables[4], descriptionVariables[5], descriptionVariables[6], descriptionVariables[7]) elif descriptionVariables[7] == 'afraid': print """A %s woman, about %s m tall. She has %s hair and is %s. She is %s.\nYou feel that you should be %s of her.""" %(descriptionVariables[3], descriptionVariables[2], descriptionVariables[4], descriptionVariables[5], descriptionVariables[6], descriptionVariables[7]) else: pass elif descriptionVariables[0] == 'obj': # Insert code here 2 deal with object stuff pass print print myDescriptionVariables = ['char'] i = 0 while i < 30: print print print descriptionGenerator(myDescriptionVariables) i = i + 1 time.sleep(10) When it fails to properly execute it says this: Traceback (most recent call last): File "/Users/Jasper/Development/Programming/MyProjects/Game Making Challenge/Europa I/Code/Code 2.0/bitsandpieces.py", line 79, in <module> descriptionGenerator(myDescriptionVariables) File "/Users/Jasper/Development/Programming/MyProjects/Game Making Challenge/Europa I/Code/Code 2.0/bitsandpieces.py", line 50, in descriptionGenerator randomDescriptionVariables = ['char', gender, height, height_string, hair, size, demeanour, impression] UnboundLocalError: local variable 'height_string' referenced before assignment Thanks for any help with this

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  • Python - Bitmap won't draw/display

    - by Wallter
    I have been working on this project for some time now - it was originally supposed to be a test to see if, using wxPython, I could build a button 'from scratch.' From scratch means: that i would have full control over all the aspects of the button (i.e. controlling the BMP's that are displayed... what the event handlers did... etc.) I have run into several problems (as this is my first major python project.) Now, when the all the code is working for the life of me I can't get an image to display. Basic code - not working dc = wx.BufferedPaintDC(self) dc.SetFont(self.GetFont()) dc.SetBackground(wx.Brush(self.GetBackgroundColour())) dc.Clear() dc.DrawBitmap(wx.Bitmap("/home/wallter/Desktop/Mouseover.bmp"), 100, 100) self.Refresh() self.Update() Full Main.py import wx from Custom_Button import Custom_Button from wxPython.wx import * ID_ABOUT = 101 ID_EXIT = 102 class MyFrame(wx.Frame): def __init__(self, parent, ID, title): wxFrame.__init__(self, parent, ID, title, wxDefaultPosition, wxSize(400, 400)) self.CreateStatusBar() self.SetStatusText("Program testing custom button overlays") menu = wxMenu() menu.Append(ID_ABOUT, "&About", "More information about this program") menu.AppendSeparator() menu.Append(ID_EXIT, "E&xit", "Terminate the program") menuBar = wxMenuBar() menuBar.Append(menu, "&File"); self.SetMenuBar(menuBar) # The call for the 'Experiential button' self.Button1 = Custom_Button(parent, -1, wx.Point(100, 100), wx.Bitmap("/home/wallter/Desktop/Mouseover.bmp"), wx.Bitmap("/home/wallter/Desktop/Normal.bmp"), wx.Bitmap("/home/wallter/Desktop/Click.bmp")) # The following three lines of code are in place to try to get the # Button1 to display (trying to trigger the Paint event (the _onPaint.) # Because that is where the 'draw' functions are. self.Button1.Show(true) self.Refresh() self.Update() # Because the Above three lines of code did not work, I added the # following four lines to trigger the 'draw' functions to test if the # '_onPaint' method actually worked. # These lines do not work. dc = wx.BufferedPaintDC(self) dc.SetFont(self.GetFont()) dc.SetBackground(wx.Brush(self.GetBackgroundColour())) dc.DrawBitmap(wx.Bitmap("/home/wallter/Desktop/Mouseover.bmp"), 100, 100) EVT_MENU(self, ID_ABOUT, self.OnAbout) EVT_MENU(self, ID_EXIT, self.TimeToQuit) def OnAbout(self, event): dlg = wxMessageDialog(self, "Testing the functions of custom " "buttons using pyDev and wxPython", "About", wxOK | wxICON_INFORMATION) dlg.ShowModal() dlg.Destroy() def TimeToQuit(self, event): self.Close(true) class MyApp(wx.App): def OnInit(self): frame = MyFrame(NULL, -1, "wxPython | Buttons") frame.Show(true) self.SetTopWindow(frame) return true app = MyApp(0) app.MainLoop() Full CustomButton.py import wx from wxPython.wx import * class Custom_Button(wx.PyControl): def __init__(self, parent, id, Pos, Over_BMP, Norm_BMP, Push_BMP, **kwargs): wx.PyControl.__init__(self,parent, id, **kwargs) self.Bind(wx.EVT_LEFT_DOWN, self._onMouseDown) self.Bind(wx.EVT_LEFT_UP, self._onMouseUp) self.Bind(wx.EVT_LEAVE_WINDOW, self._onMouseLeave) self.Bind(wx.EVT_ENTER_WINDOW, self._onMouseEnter) self.Bind(wx.EVT_ERASE_BACKGROUND,self._onEraseBackground) self.Bind(wx.EVT_PAINT,self._onPaint) self.pos = Pos self.Over_bmp = Over_BMP self.Norm_bmp = Norm_BMP self.Push_bmp = Push_BMP self._mouseIn = False self._mouseDown = False def _onMouseEnter(self, event): self._mouseIn = True def _onMouseLeave(self, event): self._mouseIn = False def _onMouseDown(self, event): self._mouseDown = True def _onMouseUp(self, event): self._mouseDown = False self.sendButtonEvent() def sendButtonEvent(self): event = wx.CommandEvent(wx.wxEVT_COMMAND_BUTTON_CLICKED, self.GetId()) event.SetInt(0) event.SetEventObject(self) self.GetEventHandler().ProcessEvent(event) def _onEraseBackground(self,event): # reduce flicker pass def Iz(self): dc = wx.BufferedPaintDC(self) dc.DrawBitmap(self.Norm_bmp, 100, 100) def _onPaint(self, event): # The printing functions, they should work... but don't. dc = wx.BufferedPaintDC(self) dc.SetFont(self.GetFont()) dc.SetBackground(wx.Brush(self.GetBackgroundColour())) dc.Clear() dc.DrawBitmap(self.Norm_bmp) # This never printed... I don't know if that means if the EVT # is triggering or what. print '_onPaint' # draw whatever you want to draw # draw glossy bitmaps e.g. dc.DrawBitmap if self._mouseIn: # If the Mouse is over the button dc.DrawBitmap(self.Over_bmp, self.pos) else: # Since the mouse isn't over it Print the normal one # This is adding on the above code to draw the bmp # in an attempt to get the bmp to display; to no avail. dc.DrawBitmap(self.Norm_bmp, self.pos) if self._mouseDown: # If the Mouse clicks the button dc.DrawBitmap(self.Push_bmp, self.pos) This code won't work? I get no BMP displayed why? How do i get one? I've gotten the staticBitmap(...) to display one, but it won't move, resize, or anything for that matter... - it's only in the top left corner of the frame? Note: the frame is 400pxl X 400pxl - and the "/home/wallter/Desktop/Mouseover.bmp"

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  • translating play in HTML to python

    - by aharon
    So, I'd like to represent one of Shakespeare's plays, Hamlet, into the following objects (maybe this isn't the best representation, if so please tell me): class Play(): acts = [] ... def add_act(self, act): acts.append(act) class Act(): scenes = [] ... def add_scene(self, scene): scenes.append(scene) class Scene(): elems = [] def __init__(self, title, setting=""): ... def add_elem(self, elem): elems.append(elem) ... class StageDirection(): # elem def __init__(self, text): ... class Line(): # elem def __init__(self, id, text, character = None): ... # A None character represents a continuation from the previous line # id could be, for example, 1.1.1 There are other methods, of course, for printing and such in each of the classes. The question is, how do I get a structure based on these classes (or something like them) from HTML 4 code that looks like this: <H3>ACT I</h3> <h3>SCENE I. Elsinore. A platform before the castle.</h3> <p><blockquote> <i>FRANCISCO at his post. Enter to him BERNARDO</i> </blockquote> <A NAME=speech1><b>BERNARDO</b></a> <blockquote> <A NAME=1.1.1>Who's there?</A><br> </blockquote> <A NAME=speech2><b>FRANCISCO</b></a> <blockquote> <A NAME=1.1.2>Nay, answer me: stand, and unfold yourself.</A><br> </blockquote> <A NAME=speech3><b>BERNARDO</b></a> <blockquote> <A NAME=1.1.3>Long live the king!</A><br> </blockquote> <A NAME=speech4><b>FRANCISCO</b></a> <blockquote> <A NAME=1.1.4>Bernardo?</A><br> </blockquote> <A NAME=speech5><b>BERNARDO</b></a> <blockquote> <A NAME=1.1.5>He.</A><br> </blockquote> <!-- for more, see the source of shakespeare.mit.edu/hamlet/full.html --> translating that into something like this: play = Play() actI = Act() sceneI = Scene("Scene I", "Elsinore. A platform before the castle.") sceneI.add_elem(StageDirection("Francisco at his post. Enter to him Bernardo.")) sceneI.add_elem(Line("Bernardo", "Who's there?")) ... Of course, I don't expect all the code—but what libraries and, when there aren't libraries, logic should I use? Thanks. (This is for a future opensource project and me learning Python for fun—not homework.)

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  • Increasing speed of python code

    - by Curious2learn
    Hi, I have some python code that has many classes. I used cProfile to find that the total time to run the program is 68 seconds. I found that the following function in a class called Buyers takes about 60 seconds of those 68 seconds. I have to run the program about 100 times, so any increase in speed will help. Can you suggest ways to increase the speed by modifying the code? If you need more information that will help, please let me know. def qtyDemanded(self, timePd, priceVector): '''Returns quantity demanded in period timePd. In addition, also updates the list of customers and non-customers. Inputs: timePd and priceVector Output: count of people for whom priceVector[-1] < utility ''' ## Initialize count of customers to zero ## Set self.customers and self.nonCustomers to empty lists price = priceVector[-1] count = 0 self.customers = [] self.nonCustomers = [] for person in self.people: if person.utility >= price: person.customer = 1 self.customers.append(person) else: person.customer = 0 self.nonCustomers.append(person) return len(self.customers) self.people is a list of person objects. Each person has customer and utility as its attributes. EDIT - responsed added ------------------------------------- Thanks so much for the suggestions. Here is the response to some questions and suggestions people have kindly made. I have not tried them all, but will try others and write back later. (1) @amber - the function is accessed 80,000 times. (2) @gnibbler and others - self.people is a list of Person objects in memory. Not connected to a database. (3) @Hugh Bothwell cumtime taken by the original function - 60.8 s (accessed 80000 times) cumtime taken by the new function with local function aliases as suggested - 56.4 s (accessed 80000 times) (4) @rotoglup and @Martin Thomas I have not tried your solutions yet. I need to check the rest of the code to see the places where I use self.customers before I can make the change of not appending the customers to self.customers list. But I will try this and write back. (5) @TryPyPy - thanks for your kind offer to check the code. Let me first read a little on the suggestions you have made to see if those will be feasible to use. EDIT 2 Some suggested that since I am flagging the customers and noncustomers in the self.people, I should try without creating separate lists of self.customers and self.noncustomers using append. Instead, I should loop over the self.people to find the number of customers. I tried the following code and timed both functions below f_w_append and f_wo_append. I did find that the latter takes less time, but it is still 96% of the time taken by the former. That is, it is a very small increase in the speed. @TryPyPy - The following piece of code is complete enough to check the bottleneck function, in case your offer is still there to check it with other compilers. Thanks again to everyone who replied. import numpy class person(object): def __init__(self, util): self.utility = util self.customer = 0 class population(object): def __init__(self, numpeople): self.people = [] self.cus = [] self.noncus = [] numpy.random.seed(1) utils = numpy.random.uniform(0, 300, numpeople) for u in utils: per = person(u) self.people.append(per) popn = population(300) def f_w_append(): '''Function with append''' P = 75 cus = [] noncus = [] for per in popn.people: if per.utility >= P: per.customer = 1 cus.append(per) else: per.customer = 0 noncus.append(per) return len(cus) def f_wo_append(): '''Function without append''' P = 75 for per in popn.people: if per.utility >= P: per.customer = 1 else: per.customer = 0 numcustomers = 0 for per in popn.people: if per.customer == 1: numcustomers += 1 return numcustomers

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  • Optimizing Python code with many attribute and dictionary lookups

    - by gotgenes
    I have written a program in Python which spends a large amount of time looking up attributes of objects and values from dictionary keys. I would like to know if there's any way I can optimize these lookup times, potentially with a C extension, to reduce the time of execution, or if I need to simply re-implement the program in a compiled language. The program implements some algorithms using a graph. It runs prohibitively slowly on our data sets, so I profiled the code with cProfile using a reduced data set that could actually complete. The vast majority of the time is being burned in one function, and specifically in two statements, generator expressions, within the function: The generator expression at line 202 is neighbors_in_selected_nodes = (neighbor for neighbor in node_neighbors if neighbor in selected_nodes) and the generator expression at line 204 is neighbor_z_scores = (interaction_graph.node[neighbor]['weight'] for neighbor in neighbors_in_selected_nodes) The source code for this function of context provided below. selected_nodes is a set of nodes in the interaction_graph, which is a NetworkX Graph instance. node_neighbors is an iterator from Graph.neighbors_iter(). Graph itself uses dictionaries for storing nodes and edges. Its Graph.node attribute is a dictionary which stores nodes and their attributes (e.g., 'weight') in dictionaries belonging to each node. Each of these lookups should be amortized constant time (i.e., O(1)), however, I am still paying a large penalty for the lookups. Is there some way which I can speed up these lookups (e.g., by writing parts of this as a C extension), or do I need to move the program to a compiled language? Below is the full source code for the function that provides the context; the vast majority of execution time is spent within this function. def calculate_node_z_prime( node, interaction_graph, selected_nodes ): """Calculates a z'-score for a given node. The z'-score is based on the z-scores (weights) of the neighbors of the given node, and proportional to the z-score (weight) of the given node. Specifically, we find the maximum z-score of all neighbors of the given node that are also members of the given set of selected nodes, multiply this z-score by the z-score of the given node, and return this value as the z'-score for the given node. If the given node has no neighbors in the interaction graph, the z'-score is defined as zero. Returns the z'-score as zero or a positive floating point value. :Parameters: - `node`: the node for which to compute the z-prime score - `interaction_graph`: graph containing the gene-gene or gene product-gene product interactions - `selected_nodes`: a `set` of nodes fitting some criterion of interest (e.g., annotated with a term of interest) """ node_neighbors = interaction_graph.neighbors_iter(node) neighbors_in_selected_nodes = (neighbor for neighbor in node_neighbors if neighbor in selected_nodes) neighbor_z_scores = (interaction_graph.node[neighbor]['weight'] for neighbor in neighbors_in_selected_nodes) try: max_z_score = max(neighbor_z_scores) # max() throws a ValueError if its argument has no elements; in this # case, we need to set the max_z_score to zero except ValueError, e: # Check to make certain max() raised this error if 'max()' in e.args[0]: max_z_score = 0 else: raise e z_prime = interaction_graph.node[node]['weight'] * max_z_score return z_prime Here are the top couple of calls according to cProfiler, sorted by time. ncalls tottime percall cumtime percall filename:lineno(function) 156067701 352.313 0.000 642.072 0.000 bpln_contextual.py:204(<genexpr>) 156067701 289.759 0.000 289.759 0.000 bpln_contextual.py:202(<genexpr>) 13963893 174.047 0.000 816.119 0.000 {max} 13963885 69.804 0.000 936.754 0.000 bpln_contextual.py:171(calculate_node_z_prime) 7116883 61.982 0.000 61.982 0.000 {method 'update' of 'set' objects}

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