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  • Python: import the containing package

    - by guy
    In a module residing inside a package, i have the need to use a function defined within the __init__.py of that package. how can i import the package within the module that resides within the package, so i can use that function? Importing __init__ inside the module will not import the package, but instead a module named __init__, leading to two copies of things with different names... Is there a pythonic way to do this?

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  • Add entry to list and remove first one in Python

    - by wagglewax
    I have a list of about 40 entries. And I frequently want to append an item to the start of the list (with id 0) and want to delete the last entry (with id 40) of the list. how do i do this the best? like: (example with 5 entries) [0] = "herp" [1] = "derp" [2] = "blah" [3] = "what" [4] = "da..." after adding "wuggah" and deleting last it should be like: [0] = "wuggah" [1] = "herp" [2] = "derp" [3] = "blah" [4] = "what" or appending one and deleting first. And I don't want to end up manually moving them one after another all of the entries to the next id.

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  • How do I calculate percentiles with python/numpy?

    - by Uri
    Is there a convenient way to calculate percentiles for a sequence or single-dimensional numpy array? I am looking for something similar to Excel's percentile function. I looked in NumPy's statistics reference, and couldn't find this. All I could find is the median (50th percentile), but not something more specific.

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  • Algorithm detect repeating/similiar strings in a corpus of data -- say email subjects, in Python

    - by RizwanK
    I'm downloading a long list of my email subject lines , with the intent of finding email lists that I was a member of years ago, and would want to purge them from my Gmail account (which is getting pretty slow.) I'm specifically thinking of newsletters that often come from the same address, and repeat the product/service/group's name in the subject. I'm aware that I could search/sort by the common occurrence of items from a particular email address (and I intend to), but I'd like to correlate that data with repeating subject lines.... Now, many subject lines would fail a string match, but "Google Friends : Our latest news" "Google Friends : What we're doing today" are more similar to each other than a random subject line, as is: "Virgin Airlines has a great sale today" "Take a flight with Virgin Airlines" So -- how can I start to automagically extract trends/examples of strings that may be more similar. Approaches I've considered and discarded ('because there must be some better way'): Extracting all the possible substrings and ordering them by how often they show up, and manually selecting relevant ones Stripping off the first word or two and then count the occurrence of each sub string Comparing Levenshtein distance between entries Some sort of string similarity index ... Most of these were rejected for massive inefficiency or likelyhood of a vast amount of manual intervention required. I guess I need some sort of fuzzy string matching..? In the end, I can think of kludgy ways of doing this, but I'm looking for something more generic so I've added to my set of tools rather than special casing for this data set. After this, I'd be matching the occurring of particular subject strings with 'From' addresses - I'm not sure if there's a good way of building a data structure that represents how likely/not two messages are part of the 'same email list' or by filtering all my email subjects/from addresses into pools of likely 'related' emails and not -- but that's a problem to solve after this one. Any guidance would be appreciated.

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  • python iterators and thread-safety

    - by Igor
    I have a class which is being operated on by two functions. One function creates a list of widgets and writes it into the class: def updateWidgets(self): widgets = self.generateWidgetList() self.widgets = widgets the other function deals with the widgets in some way: def workOnWidgets(self): for widget in self.widgets: self.workOnWidget(widget) each of these functions runs in it's own thread. the question is, what happens if the updateWidgets() thread executes while the workOnWidgets() thread is running? I am assuming that the iterator created as part of the for...in loop will keep some kind of reference to the old self.widgets object? So I will finish iterating over the old list... but I'd love to know for sure.

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  • Parsing text file in python

    - by Ockonal
    Hello, I have html-file. I have to replace all text between this: [%anytext%]. As I understand, it's very easy to do with BeautifulSoup for parsing hmtl. But what is regular expression and how to remove&write back text data?

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  • python packaging causes importerror

    - by Absolute0
    I am getting an annoying import error when I try to import a variable in an init.py file. I have attached the files involved and my directory structure: #/home/me/app/app/__init__.py from flaskext.sqlalchemy import SQLAlchemy db = SQLAlchemy(app) #/home/me/app/app/models/__init__.py from datetime import datetime from app import db #shell [me@archlinux app]$ pwd /home/me/app [me@archlinux app]$ ./manage.py /home/me/app/app/__init__.pyc Traceback (most recent call last): File "./manage.py", line 7, in <module> from app import app File "/home/me/app/app/__init__.py", line 3, in <module> from app.views.post import post File "/home/me/app/app/views/post.py", line 4, in <module> from app.models import Post File "/home/me/app/app/models/__init__.py", line 5, in <module> from app import db ImportError: cannot import name db [me@archlinux app]$ tree . +-- apikey.txt +-- manage.py +-- app ¦   +-- forms ¦   ¦   +-- __init__.py ¦   ¦   +-- __init__.py~ ¦   +-- __init__.py ¦   +-- __init__.py~ ¦   +-- __init__.pyc ¦   +-- models ¦   ¦   +-- __init__.py ¦   ¦   +-- __init__.py~ ¦   ¦   +-- __init__.pyc ¦   +-- static ¦   ¦   +-- css ¦   ¦   ¦   +-- style.css ¦   ¦   +-- images ¦   ¦   ¦   +-- favicon.png ¦   ¦   ¦   +-- logo.png ¦   ¦   ¦   +-- text_logo.png ¦   ¦   ¦   +-- thumb_down_active.png ¦   ¦   ¦   +-- thumb_down_inactive.png ¦   ¦   ¦   +-- thumb_up_active.png ¦   ¦   ¦   +-- thumb_up_inactive.png ¦   ¦   +-- js ¦   ¦   ¦   +-- index.js ¦   ¦   +-- sitemap.xml ¦   +-- templates ¦   ¦   +-- 404.html ¦   ¦   +-- 500.html ¦   ¦   +-- about.html ¦   ¦   +-- base.html ¦   ¦   +-- feedback ¦   ¦   ¦   +-- feedback_form.html ¦   ¦   +-- form.html ¦   ¦   +-- posts ¦   ¦   ¦   +-- comment.html ¦   ¦   ¦   +-- post.html ¦   ¦   ¦   +-- posts.html ¦   ¦   +-- spam.html ¦   ¦   +-- terms.html ¦   ¦   +-- users ¦   ¦   +-- login_form.html ¦   ¦   +-- sign_up_form.html ¦   +-- util ¦   ¦   +-- forms.py ¦   ¦   +-- honeypot.py ¦   ¦   +-- __init__.py ¦   ¦   +-- __init__.py~ ¦   ¦   +-- json_http.py ¦   ¦   +-- models.py ¦   ¦   +-- spam.py ¦   +-- views ¦   +-- feedback.py ¦   +-- __init__.py ¦   +-- __init__.pyc ¦   +-- post.py ¦   +-- post.pyc ¦   +-- user.py +-- settings.py +-- settings.pyc +-- TiddlyWiki.html 13 directories, 49 files What might be the problem?

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  • Spotting similarities and patterns within a string - Python

    - by RadiantHex
    Hi folks, this is the use case I'm trying to figure this out for. I have a list of spam subscriptions to a service and they are killing conversion rate and other usability studies. The emails inserted look like the following: [email protected] [email protected] [email protected] roger[...]_surname[...]@hotmail.com What would be your suggestions on spotting these entries by using an automated script? It feels a little more complicated than it actually looks. Help would be very much appreciated!

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  • Get Path of Uploaded File using Python

    - by Ali
    Is it possible to get the full path of the file on the user's computer being uploaded to my site? Using os.path.abspath(fileitem.filename) simply gets me the address of where my script is executing from on my shared hosting server. FYI: fileitem = form['file'] and form = cgi.FieldStorage()

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  • finding max in python as per some custom criterion

    - by MK
    Hi, I can do max(s) to find the max of a sequence. But suppose I want to compute max according to my own function , something like so - currmax = 0 def mymax(s) : for i in s : #assume arity() attribute is present currmax = i.arity() if i.arity() > currmax else currmax Is there a clean pythonic way of doing this? Thanks!

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  • Python: Getting the attribute name that the created object will be given

    - by cool-RR
    Before I ask this, do note: I want this for debugging purposes. I know that this is going to be some bad black magic, but I want to use it just during debugging so I could identify my objects more easily. It's like this. I have some object from class A that creates a few B instances as attributes: class A(object): def __init__(self) self.vanilla_b = B() self.chocolate_b = B() class B(object): def __init__(self): # ... What I want is that in B.__init__, it will figure out the "vanilla_b" or whatever attribute name it was given, and then put that as the .name attribute to this specific B. Then in debugging when I see some B object floating around, I could know which one it is. Is there any way to do this?

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  • Best practice for Python Assert

    - by meade
    Is there a performance or code maintenance issue with using assert as part of the standard code instead of using it just for debugging purposes? Is assert x >= 0, 'x is less then zero' and better or worse then if x < 0: raise Exception, 'x is less then zero' Also, is there anyway to set a business rule like if x < 0 raise error that is always checked with out the try, except, finally so, if at anytime throughout the code x is < 0 an error is raised, like if you set assert x < 0 at the start of a function, anywhere within the function where x becomes less then 0 an exception is raised?

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  • Python File Search Line And Return Specific Number of Lines after Match

    - by Simos Anderson
    I have a text file that has lines representing some data sets. The file itself is fairly long but it contains certain sections of the following format: Series_Name INFO Number of teams : n1 | Team | # | wins | | TeamName1 | x | y | . . . | TeamNamen1 | numn | numn | Some Irrelevant lines Series_Name2 INFO Number of teams : n1 | Team | # | wins | | TeamName1 | num1 | num2 | . where each section has a header that begins with the Series_Name. Each Series_Name is different. The line with the header also includes the number of teams in that series, n1. Following the header line is a set of lines that represents a table of data. For each series there are n1+1 rows in the table, where each row shows an individual team name and associated stats. I have been trying to implement a function that will allow the user to search for a Team name and then print out the line in the table associated with that team. However, certain team names show up under multiple series. To resolve this, I am currently trying to write my code so that the user can search for the header line with series name first and then print out just the following n1+1 lines that represent the data associated with the series. Here's what I have come up with so far: import re print fname = raw_input("Enter filename: ") seriesname = raw_input("Enter series: ") def findcounter(fname, seriesname): logfile = open(fname, "r") pat = 'INFO Number of teams :' for line in logfile: if seriesname in line: if pat in line: s=line pattern = re.compile(r"""(?P<name>.*?) #starting name \s*INFO #whitespace and success \s*Number\s*of\s*teams #whitespace and strings \s*\:\s*(?P<n1>.*)""",re.VERBOSE) match = pattern.match(s) name = match.group("name") n1 = int(match.group("n1")) print name + " has " + str(n1) + " teams" lcount = 0 for line in logfile: if line.startswith(name): if pat in line: while lcount <= n1: s.append(line) lcount += 1 return result The first part of my code works; it matches the header line that the person searches for, parses the line, and then prints out how many teams are in that series. Since the header line basically tells me how many lines are in the table, I thought that I could use that information to construct a loop that would continue printing each line until a set counter reached n1. But I've tried running it, and I realize that the way I've set it up so far isn't correct. So here's my question: How do you return a number of lines after a matched line when given the number of desired lines that follow the match? I'm new to programming, and I apologize if this question seems silly. I have been working on this quite diligently with no luck and would appreciate any help.

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  • Python regex on list

    - by Peter Nielsen
    Hi there I am trying to build a parser and save the results as an xml file but i have problems.. For instance i get a TypeError: expected string or buffer when i try to run the code.. Would you experts please have a look at my code ? import urllib2, re from xml.dom.minidom import Document from BeautifulSoup import BeautifulSoup as bs osc = open('OSCTEST.html','r') oscread = osc.read() soup=bs(oscread) doc = Document() root = doc.createElement('root') doc.appendChild(root) countries = doc.createElement('countries') root.appendChild(countries) findtags1 = re.compile ('<h1 class="title metadata_title content_perceived_text(.*?)</h1>', re.DOTALL | re.IGNORECASE).findall(soup) findtags2 = re.compile ('<span class="content_text">(.*?)</span>', re.DOTALL | re.IGNORECASE).findall(soup) for header in findtags1: title_elem = doc.createElement('title') countries.appendChild(title_elem) header_elem = doc.createTextNode(header) title_elem.appendChild(header_elem) for item in findtags2: art_elem = doc.createElement('artikel') countries.appendChild(art_elem) s = item.replace('<P>','') t = s.replace('</P>','') text_elem = doc.createTextNode(t) art_elem.appendChild(text_elem) print doc.toprettyxml()

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  • Python nested dict comprehension with sets

    - by Jasie
    Can someone explain how to do nested dict comprehensions? >> l = [set([1, 2, 3]), set([4, 5, 6])] >> j = dict((a, i) for a in s for i, s in enumerate(l)) >> NameError: name 's' is not defined I would have liked: >> j >> {1:0, 2:0, 3:0, 4: 1, 5: 1, 6: 1} I just asked a previous question about a simpler dict comprehension where the parentheses in the generator function were reduced. How come the s in the leftmost comprehension is not recognized?

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  • How to read a file with variable multi-row data in Python

    - by dr.bunsen
    I have a file that is about 100Mb that looks like this: #meta data 1 skadjflaskdjfasljdfalskdjfl sdkfjhasdlkgjhsdlkjghlaskdj asdhfk #meta data 2 jflaksdjflaksjdflkjasdlfjas ldaksjflkdsajlkdfj #meta data 3 alsdkjflasdjkfglalaskdjf This file contains one row of meta data that corresponds to several, variable length data containing only alpha-numeric characters. What is the best way to read this data into a simple list like this: data = [[#meta data 1, skadjflaskdjfasljdfalskdjflsdkfjhasdlkgjhsdlkjghlaskdjasdhfk], [#meta data 2, jflaksdjflaksjdflkjasdlfjasldaksjflkdsajlkdfj], [#meta data 3, alsdkjflasdjkfglalaskdjf]] My initial idea was to use the read() method to read the whole file into memory and then use regular expressions to parse the data into the desired format. Is there a better more pythonic way? All metadata lines start with an octothorpe and all data lines are all alpha-numeric. Thanks!

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  • Python singleton pattern

    - by Javier Garcia
    Hi, someone can tell me why this is incorrect as a singleton pattern: class preSingleton(object): def __call__(self): return self singleton = preSingleton() a = singleton() b = singleton() print a==b a.var_in_a = 100 b.var_in_b = 'hello' print a.var_in_b print b.var_in_a Edit: The above code prints: True hello 100 thank you very much

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  • python threading and performace?

    - by kumar
    I had to do heavy I/o bound operation, i.e Parsing large files and converting from one format to other format. Initially I used to do it serially, i.e parsing one after another..! Performance was very poor ( it used take 90+ seconds). So I decided to use threading to improve the performance. I created one thread for each file. ( 4 threads) for file in file_list: t=threading.Thread(target = self.convertfile,args = file) t.start() ts.append(t) for t in ts: t.join() But for my astonishment, there is no performance improvement whatsoever. Now also it takes around 90+ seconds to complete the task. As this is I/o bound operation , I had expected to improve the performance. What am I doing wrong?

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  • Creating a simple command line interface (CLI) using a python server (TCP sock) and few scripts

    - by VN44CA
    I have a Linux box and I want to be able to telnet into it (port 77557) and run few required commands without having to access to the whole Linux box. So, I have a server listening on that port, and echos the entered command on the screen. (for now) Telnet 192.168.1.100 77557 Trying 192.168.1.100... Connected to 192.168.1.100. Escape character is '^]'. hello<br /> You typed: "hello"<br /> NOW: I want to create lot of commands that each take some args and have error codes. Anyone has done this before? It would be great if I can have the server upon initialization go through each directory and execute the init.py file and in turn, the init.py file of each command call into a main template lib API (e.g. RegisterMe()) and register themselves with the server as function call backs. At least this is how I would do it in C/C++. But I want the best Pythonic way of doing this. /cmd/ /cmd/myreboot/ /cmd/myreboot/ini.py (note underscore don't show for some reason) /cmd/mylist/ /cmd/mylist/init.py ... etc IN: /cmd/myreboot/_ini_.py: from myMainCommand import RegisterMe RegisterMe(name="reboot",args=Arglist, usage="Use this to reboot the box", desc="blabla") So, repeating this creates a list of commands and when you enter the command in the telnet session, then the server goes through the list, matches the command and passed the args to that command and the command does the job and print the success or failure to stdout. Thx

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  • Access class instance "name" dynamically in Python

    - by user328317
    In plain english: I am creating class instances dynamically in a for loop, the class then defines a few attributes for the instance. I need to later be able to look up those values in another for loop. Sample code: class A: def init(self, name, attr): self.name=name self.attr=attr names=("a1", "a2", "a3") x=10 for name in names: name=A(name, x) x += 1 ... ... ... for name in names: print name.attr How can I create an identifier for these instances so they can be accessed later on by "name"? I've figured a way to get this by associating "name" with the memory location: class A: instances=[] names=[] def init(self, name, attr): self.name=name self.attr=attr A.instances.append(self) A.names.append(name) names=("a1", "a2", "a3") x=10 for name in names: name=A(name, x) x += 1 ... ... ... for name in names: index=A.names.index(name) print "name: " + name print "att: " + str(A.instances[index].att) This has had me scouring the web for 2 days now, and I have not been able to find an answer. Maybe I don't know how to ask the question properly, or maybe it can't be done (as many other posts seemed to be suggesting). Now this 2nd example works, and for now I will use it. I'm just thinking there has to be an easier way than creating your own makeshift dictionary of index numbers and I'm hoping I didn't waste 2 days looking for an answer that doesn't exist. Anyone have anything? Thanks in advance, Andy Update: A coworker just showed me what he thinks is the simplest way and that is to make an actual dictionary of class instances using the instance "name" as the key.

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  • Python imports by folder module

    - by colinmarc
    I have a directory structure: example.py templates/ __init__.py a.py b.py a.py and b.py have only one class, named the same as the file (because they are cheetah templates). For purely style reasons, I want to be able to import and use these classes in example.py like so: import templates t = templates.a() Right now I do that by having this in the template folder's __init__.py: __all__ = ["a", "b"] from . import * However, this seems pretty poor (and maybe superfluous), and doesn't even do what I want, as I have to use the classes like this: t = templates.a.a() Thoughts?

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  • Using a regex to match IP addresses in Python

    - by MHibbin
    I'm trying to make a test for checking whether a sys.argv input matches the regex for an IP address... As a simple test, I have the following... import re pat = re.compile("\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3}") test = pat.match(hostIP) if test: print "Acceptable ip address" else: print "Unacceptable ip address" However when I pass random values into it, it returns "Acceptable ip address" in most cases, except when I have an "address" that is basically equivalent to \d+ Any thoughts welcome. Cheers Matt

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