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  • C++ to python communication. Multiple io streams?

    - by Dennis Kempin
    A python program opens a new process of the C++ program and is reading the processes stdout. No problem so far. But is it possible to have multiple streams like this for communication? I can get two if I misuse stderr too, but not more. Easy way to hack this would be using temporary files. Is there something more elegant that does not need a detour to the filesystem? PS: *nix specific solutions are welcome too

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  • How do you create a transaction that spans multiple statements in Python with MySQLdb?

    - by Fast Fish
    I know that with an InnoDB table, transactions are autocommit, however I understand that to mean for a single statement? For example, I want to check if a user exists in a table, and then if it doesn't, create it. However there lies a race condition. I believe using a transaction prior to doing the select, will ensure that the table remains untouched until the subsequent insert, and the transaction is committed. How can you do this with MySQLdb and Python?

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  • I created a Python egg; now what?

    - by froadie
    I've finally figured out how to create a Python egg and gotten it to work. What do I do with it now? How do I use it? How do I ensure that everything was correctly included? (Simple steps please... not just redirection to another site. I've googled, but it's confusing me, and I was hoping someone could explain it in a couple of simple bullet points or sentences.)

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  • What is a good PDF report generator tool for python?

    - by jlouis
    What is a good tool for PDF report generation in Python? I've checked out ReportLab, but it seems to be awfully low-level for what I want to do. My current hunch is to call TeX on the command-line and let it produce the PDF, but if there is something that is easier to work with (and looks professional - We'll send this to customers) I'd very much like a prod in the right direction.

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  • Long running, polling, queueing process for Python. What's the best stuff to use?

    - by Bialecki
    Feel free to close and/or redirect if this has been asked, but here's my situation: I've got an application that will require doing a bunch of small units of work (polling a web service until something is done, then parsing about 1MB worth of XML and putting it in a database). I want to have a simple async queueing mechanism that'll poll for work to do in a queue, execute the units of work that need to be done, and have the flexibility to allow for spawning multiple worker processes so these units of work can be done in parallel. (Bonus if there's some kind of event framework that would also me to listen for when work is complete.) I'm sure there is stuff to do this. Am I describing Twisted? I poked through the documentation, I'm just not sure exactly how my problems maps onto their framework, but I haven't spent much time with it. Should I just look at the multiprocess libraries in Python? Something else?

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  • How do I get the Math equation of Python Algorithm?

    - by Gabriel
    ok so I am feeling a little stupid for not knowing this, but a coworker asked so I am asking here: I have written a python algorithm that solves his problem. given x 0 add all numbers together from 1 to x. def fac(x): if x > 0: return x + fac(x - 1) else: return 0 fac(10) 55 first what is this type of equation is this and what is the correct way to get this answer as it is clearly easier using some other method?

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  • Parallel CURL function Help .. php

    - by Webby
    Hello.. Firstly let me explain the code below is just a tiny snippet of the code I'm using on the working site. Basically I'm hoping someone can help me rewrite just the function below to enable parallel CURL calls... that way it will fit nicely into the existing code without me having to rewrite the whole from the ground up like some of the samples I've been finding today any ideas? function get_data($url) { $ch = curl_init(); $timeout = 5; curl_setopt($ch,CURLOPT_URL,$url); curl_setopt($ch,CURLOPT_RETURNTRANSFER,1); curl_setopt($ch,CURLOPT_CONNECTTIMEOUT,5); $data = curl_exec($ch); curl_close($ch); return $data; } p.s. $url goes through a huge bunch of urls in a loop already so I'd hole to keep that intact.. Help always appreciated and rewarded

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  • Is it possible to add IPTC data to a JPG using python when no such data already exists?

    - by ventolin
    With the IPTCInfo module under Python (http://snippets.dzone.com/posts/show/768 for more info) it's possible to read, modify and write IPTC info to pictures. However, if a JPG doesn't already have IPTC information, the module simply raises an exception. It doesn't seem to be able to create and add this metadata information itself. What alternatives are there? I've googled for the past hour but to no avail whatsoever.

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  • Can I avoid a threaded UDP socket in Python dropping data?

    - by 666craig
    First off, I'm new to Python and learning on the job, so be gentle! I'm trying to write a threaded Python app for Windows that reads data from a UDP socket (thread-1), writes it to file (thread-2), and displays the live data (thread-3) to a widget (gtk.Image using a gtk.gdk.pixbuf). I'm using queues for communicating data between threads. My problem is that if I start only threads 1 and 3 (so skip the file writing for now), it seems that I lose some data after the first few samples. After this drop it looks fine. Even by letting thread 1 complete before running thread 3, this apparent drop is still there. Apologies for the length of code snippet (I've removed the thread that writes to file), but I felt removing code would just prompt questions. Hope someone can shed some light :-) import socket import threading import Queue import numpy import gtk gtk.gdk.threads_init() import gtk.glade import pygtk class readFromUDPSocket(threading.Thread): def __init__(self, socketUDP, readDataQueue, packetSize, numScans): threading.Thread.__init__(self) self.socketUDP = socketUDP self.readDataQueue = readDataQueue self.packetSize = packetSize self.numScans = numScans def run(self): for scan in range(1, self.numScans + 1): buffer = self.socketUDP.recv(self.packetSize) self.readDataQueue.put(buffer) self.socketUDP.close() print 'myServer finished!' class displayWithGTK(threading.Thread): def __init__(self, displayDataQueue, image, viewArea): threading.Thread.__init__(self) self.displayDataQueue = displayDataQueue self.image = image self.viewWidth = viewArea[0] self.viewHeight = viewArea[1] self.displayData = numpy.zeros((self.viewHeight, self.viewWidth, 3), dtype=numpy.uint16) def run(self): scan = 0 try: while True: if not scan % self.viewWidth: scan = 0 buffer = self.displayDataQueue.get(timeout=0.1) self.displayData[:, scan, 0] = numpy.fromstring(buffer, dtype=numpy.uint16) self.displayData[:, scan, 1] = numpy.fromstring(buffer, dtype=numpy.uint16) self.displayData[:, scan, 2] = numpy.fromstring(buffer, dtype=numpy.uint16) gtk.gdk.threads_enter() self.myPixbuf = gtk.gdk.pixbuf_new_from_data(self.displayData.tostring(), gtk.gdk.COLORSPACE_RGB, False, 8, self.viewWidth, self.viewHeight, self.viewWidth * 3) self.image.set_from_pixbuf(self.myPixbuf) self.image.show() gtk.gdk.threads_leave() scan += 1 except Queue.Empty: print 'myDisplay finished!' pass def quitGUI(obj): print 'Currently active threads: %s' % threading.enumerate() gtk.main_quit() if __name__ == '__main__': # Create socket (IPv4 protocol, datagram (UDP)) and bind to address socketUDP = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) host = '192.168.1.5' port = 1024 socketUDP.bind((host, port)) # Data parameters samplesPerScan = 256 packetsPerSecond = 1200 packetSize = 512 duration = 1 # For now, set a fixed duration to log data numScans = int(packetsPerSecond * duration) # Create array to store data data = numpy.zeros((samplesPerScan, numScans), dtype=numpy.uint16) # Create queue for displaying from readDataQueue = Queue.Queue(numScans) # Build GUI from Glade XML file builder = gtk.Builder() builder.add_from_file('GroundVue.glade') window = builder.get_object('mainwindow') window.connect('destroy', quitGUI) view = builder.get_object('viewport') image = gtk.Image() view.add(image) viewArea = (1200, samplesPerScan) # Instantiate & start threads myServer = readFromUDPSocket(socketUDP, readDataQueue, packetSize, numScans) myDisplay = displayWithGTK(readDataQueue, image, viewArea) myServer.start() myDisplay.start() gtk.gdk.threads_enter() gtk.main() gtk.gdk.threads_leave() print 'gtk.main finished!'

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