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  • wxpython Prevent Ctrl+Enter from changing the focus

    - by RSabet
    I have two wxListCtrl and want to process the Ctrl+Enter keyboard event without letting wx change the focus to the other ListCtrl. I have event handlers for wx.EVT_KEY_DOWN, wx.EVT_KEY_UP, wx.EVT_CHAR and KillFocus, but KillFocus is always called first, then the focus changes and the the keyboard handlers are called for the wrong ListCtrl. Is there a way to prevent wx from changing the focus, when Ctrl+Enter is pressed ?

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  • Efficient job progress update in web application

    - by Endru6
    Hi, Creating a web application (Django in my case, but I think the question is more general) that is administrating a cluster of workers doing queued jobs, there is a need to track each jobs progress. When I've done it using database UPDATE (PostgreSQL in this case), it severely hits the database performance, because each UPDATE creates a new row in a table, and in my case only vacuuming DB removes obsolete rows. Having 30 jobs running and reporting progress every 1 minute DB may require vacuuming (and it means huge slow downs on a front end side for all the employees working with the system) every 10 days. Because the progress information isn't critical, ie. it doesn't have to be persistent, how would you do the progress updates from jobs without using an overhead database implies? There are 30 worker servers, each doing 1 or 2 jobs simultaneously, 1 front end server which serves a web application to users, and 1 database server.

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  • Could random.randint(1,10) ever return 11?

    - by Tim Pietzcker
    When researching for this question and reading the sourcecode in random.py, I started wondering whether randrange and randint really behave as "advertised". I am very much inclined to believe so, but the way I read it, randrange is essentially implemented as start + int(random.random()*(stop-start)) (assuming integer values for start and stop), so randrange(1, 10) should return a random number between 1 and 9. randint(start, stop) is calling randrange(start, stop+1), thereby returning a number between 1 and 10. My question is now: If random() were ever to return 1.0, then randint(1,10) would return 11, wouldn't it?

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  • wxWidgets/wxPython: Do two identical events cause two handlings?

    - by cool-RR
    When there are two identical events in the event loop, will wxPython handle both of them, or will it call the handler only once for them both? I mean, in my widget I want to have an event like EVT_NEED_TO_RECALCULATE_X. I want this event to be posted in all kinds of different circumstances that require x to be recalculated. However, even if there are two different reasons to recalculate x, only one recalculation needs to be done. How do I do this?

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  • NZEC in spoj FACKT

    - by frodo
    I was trying to solve this problem http://www.spoj.pl/problems/FACKT/, and I keep getting a Non-Zero Exit Code (NZEC). How exactly do I figure out what to change in the code to overcome this? Here is the code import math import sys def cal_num(n): i = 1 f = 1 while f<n: f *= i i = i + 1 return i-1 while 1: line = sys.stdin.readline() if line == "": break n = int(line) x = cal_num(n) y = math.factorial(2*x) l = int(math.ceil(math.log(y,10))) print (x,l) Any suggestion would be welcome.

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  • How can I access the "through" object of a Django ManyToManyField?

    - by Macha
    I have the following models in my Django app. How can I from the Team model find all the User objects who have accepted as True in the Membership model? I know I need to use Team.objects.filter(), but I'm not sure how to check the value of the accepted field. from django.contrib.auth.models import User class Team(models.Model): members = models.ManyToManyField(User, through="Membership") class Membership(models.Model): user = models.ForeignKey(User) team = models.ForeignKey(Team) accepted = models.BooleanField(default=False)

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  • Should I use a class in this: Reading a XML file using lxml.

    - by PulpFiction
    Hi everyone. This question is in continuation to my previous question, in which I asked about passing around an ElementTree. I need to read the XML files only and to solve this, I decided to create a global ElementTree and then parse it wherever required. My question is: Is this an acceptable practice? I heard global variables are bad. If I don't make it global, I was suggested to make a class. But do I really need to create a class? What benefits would I have from that approach. Note that I would be handling only one ElementTree instance per run, the operations are read-only. If I don't use a class, how and where do I declare that ElementTree so that it available globally? (Note that I would be importing this module) Please answer this question in the respect that I am a beginner to development, and at this stage I can't figure out whether to use a class or just go with the functional style programming approach.

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  • Extracting specific words that end with .c and .h [on hold]

    - by Alberto Mederos
    I have a very big list of file names that end with a the following: .c .h .cpp and much more. I need to extract file names that end with .c and .h How do I do that? Also, how could I add quotation marks to the beginning and end of the word, followed with a comma? For example, if I have this in the list: mi_var.c How could I extract it from a very big list, and everything else that ends in .c and replace it to have quotation marks and a comma at the end? Like this: "mi_var.c", I'm new to this, any help is greatly appreciated. Here is part of the list: gsd5t_image.c, gsd5t_image_sqif.c, proc_arm.c, proc_cortex.c, proc_k32.c, proc_k32_entry.s, proc_k32_test.c, proc_k32_test_start.s, rom_sub_functions.s, rom_sub_functions_gcc.s, sqif_jump_table.s, sqif_jump_table_gcc.s, tracker_wrapper_functions.s, vector_M0.c, ptimer.c, ptimer_arm.c, ptimer_internal.h, ptimer_internal_arm.h, ptimer_internal_k32.h, ptimer_k32.c, RstMod_if.h, drvRstMod.h, tbus.dxy, tbus_common.c, tbus_common.h, act.c, act.h, act.msgs, act_if.c, act_if.h, sat_signal_processor.c, sat_signal_processor.h, ssp.dxy, ssp.msgs, ssp_acq_handlers.c, ssp_acq_handlers.h, ssp_atx_if.c, ssp_atx_if.h, ssp_bitsync_handlers.c, ssp_bitsync_handlers.h, ssp_cohver_handlers.c, ssp_cohver_handlers.h, ssp_cwscan_handlers.c, ssp_cwscan_handlers.h, ssp_track_handlers.c, ssp_track_handlers.h, ssp_atx_if_test_sort.c, ssp_hack.c, ssp_hack.h, ssp_suite.cpp, ssp_suite.h, ssptloop.c, ssptloop.h, sss.dxy, sss.msgs, sss_atx_if.c, sss_atx_if.h, strong_signal_scan.c, So how to extract certain names?

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  • add new records using signal in django admin

    - by ganesh
    I've a model called broadcastinfo, It has fields viz.. info,userid...userid is excluded. when i add an new info, my broadcastinfo table should get the records of all userid from user table and the given message. Im trying this via signal.Any idea is highly appreciated. Thanks

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  • How to map one class against multiple tables with SQLAlchemy?

    - by tote
    Lets say that I have a database structure with three tables that look like this: items - item_id - item_handle attributes - attribute_id - attribute_name item_attributes - item_attribute_id - item_id - attribute_id - attribute_value I would like to be able to do this in SQLAlchemy: item = Item('item1') item.foo = 'bar' session.add(item) session.commit() item1 = session.query(Item).filter_by(handle='item1').one() print item1.foo # => 'bar' I'm new to SQLAlchemy and I found this in the documentation (http://www.sqlalchemy.org/docs/05/mappers.html#mapping-a-class-against-multiple-tables): j = join(items, item_attributes, items.c.item_id == item_attributes.c.item_id). \ join(attributes, item_attributes.c.attribute_id == attributes.c.attribute_id) mapper(Item, j, properties={ 'item_id': [items.c.item_id, item_attributes.c.item_id], 'attribute_id': [item_attributes.c.attribute_id, attributes.c.attribute_id], }) It only adds item_id and attribute_id to Item and its not possible to add attributes to Item object. Is what I'm trying to achieve possible with SQLAlchemy? Is there a better way to structure the database to get the same behaviour of "dynamic columns"?

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  • Django store regular expression in DB which then gets evaluated on page

    - by John
    Hi, I want to store a number of url patterns in my django model which a user can provide parameters to which will create a url. For example I might store these 3 urls in my db where %s is the variable parameter provided by the user: www.thisissomewebsite.com?param=%s www.anotherurl/%s/ www.lastexample.co.uk?param1=%s&fixedparam=2 As you can see from these examples the parameter can appear anywhere in the string and not in a fixed position. I have 2 models, one holds the urls and one holds the variables: class URLPatterns(models.Model): pattern = models.CharField(max_length=255) class URLVariables(models.Model): pattern = models.ForeignKey(URLPatterns) param = models.CharField(max_length=255) What would be the best way to generate these urls by replacing the %s with the variable in the database. would it just be a simple replace on the string e.g: urlvariable = URLVariable.objects.get(pk=1) pattern = url.pattern url = pattern.replace("%s", urlvariable.param) or is there a better way? Thanks

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  • Can UML be used to model a Functional program?

    - by iestyn
    More specifically, how do you model a functional program, or one developed using the Functional Style (without classes) using a diagram, and not textual representation, is it at all possible and could someone please direct me towards the nearest application that would do this (open source, of free as in beer, if you please)

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  • Fastest method in merging of the two: dicts vs lists

    - by tipu
    I'm doing some indexing and memory is sufficient but CPU isn't. So I have one huge dictionary and then a smaller dictionary I'm merging into the bigger one: big_dict = {"the" : {"1" : 1, "2" : 1, "3" : 1, "4" : 1, "5" : 1}} smaller_dict = {"the" : {"6" : 1, "7" : 1}} #after merging resulting_dict = {"the" : {"1" : 1, "2" : 1, "3" : 1, "4" : 1, "5" : 1, "6" : 1, "7" : 1}} My question is for the values in both dicts, should I use a dict (as displayed above) or list (as displayed below) when my priority is to use as much memory as possible to gain the most out of my CPU? For clarification, using a list would look like: big_dict = {"the" : [1, 2, 3, 4, 5]} smaller_dict = {"the" : [6,7]} #after merging resulting_dict = {"the" : [1, 2, 3, 4, 5, 6, 7]} Side note: The reason I'm using a dict nested into a dict rather than a set nested in a dict is because JSON won't let me do json.dumps because a set isn't key/value pairs, it's (as far as the JSON library is concerned) {"a", "series", "of", "keys"} Also, after choosing between using dict to a list, how would I go about implementing the most efficient, in terms of CPU, method of merging them? I appreciate the help.

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  • Passing around an ElementTree

    - by PulpFiction
    Hello. In my program, I need to make use of an ElementTree object in various functions in my program. More specifically, I am doing this: tree = etree.parse('somefile.xml') I am passing this tree around in my program. I was wondering whether this is a good approach, or can I do this: Create a global tree (I come from a C++ background and I know global is bad) Create the tree again wherever required. Or is my approach ok?

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  • Obtain distances to nearest landmarks (Mall, Hospital, and Airport etc.) using google map

    - by user227290
    I am working on a project in which I have around 100000 addreses in major cities in India(it is a table in a database). I want to know if it is possible to obtain the distances to to nearest landmarks (Mall, Hospital, and Airport etc.). Ideally I want these distances to be mergeed to the parent table. We have Java and Php coders to get it done once we find out how to go about it. Any pointers will be of great help. Thank you.

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  • Efficiently generate numpy array from list comprehension output?

    - by shootingstars
    Is there a more efficient way than using numpy.asarray() to generate an array from output in the form of a list? This appears to be copying everything in memory, which doesn't seem like it would be that efficient with very large arrays. (Updated) Example: import numpy as np a1 = np.array([1,2,3,4,5,6,7,8,9,10]) # pretend this has thousands of elements a2 = np.array([3,7,8]) results = np.asarray([np.amax(np.where(a1 > element)) for element in a2])

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