- #OCTAVE PARALLEL HOW TO#
- #OCTAVE PARALLEL INSTALL#
- #OCTAVE PARALLEL UPDATE#
- #OCTAVE PARALLEL CODE#
- #OCTAVE PARALLEL PLUS#
Server = socketserver.TCPServer((HOST, PORT), tcphandler.MyTCPHandler) HOST, PORT = "localhost", 9999 # Create the server, binding to localhost on port 9999 Super(ServerThread, self)._init_(name=name) Won't win a price for beauty, but this is just some rapid prototyping # This is the main script to run import threadingĬlass ServerThread( threading.Thread): def _init_( self, name= 'server-thread'): m files # octave.eval('my_octave_init_script') #optionally executes my_octave_init_script.m # when using 'eval' any variables are available within the next script as well # execute my_octave_script.m which has an endless loop and will never return Octave.addpath( './Octave') # add sub directory containing my. Super(OctaveThread, self)._init_ _(name=name) Thread): def _init_ ( self, name= 'octave-thread'): Python Thread Running the Octave Script # Filename octavethread.pyĬlass OctaveThread( threading. If MyTCPHandler.callback is not None and len(data) > 0: # glue the chunks together, alternatively use larger buffer """ def handle( self): # self.request is the TCP socket connected to the client Override the handle() method to implement communication to the It is instantiated once per connection to the server, and must # Filename tcphandler.py import socketserverĬlass MyTCPHandler( socketserver.BaseRequestHandler):
#OCTAVE PARALLEL CODE#
This code is similar to what is found in the Python doumentation. Since Octave and Python both support TCP and JSON this seems a good out-of-the-box choice to convert the Octave matrix data to Python numpy arrays. It turned out that a Ocatve script that runs in it's own loop was acceptably fast for my purpose, but there seems no simple way to exchange data while a script is running. This might not be relevant for a starting a script, but for repeated calls it's unacceptably slow. Even just extracting a variable takes this amount of time. My first idea was to just pull the data out to python and draw with matplotlib in a separate task, but I discovered that it took around 200ms for each call to oct2py.
Therefore the data drawing always blocks the reception.
#OCTAVE PARALLEL UPDATE#
Additionally Octave does not support running separate threads, at least not when one thread is supposed to receive data, while the other is supposed to update a drawing. Unfortunately it has a big downside: Speed. m octave files using python and also has easy ways to read and write variable content from and to Octave.
I found the neat oct2py bridge that allows to execute. But to get things going faster I wanted to keep the existing Octave / Matlab code, but connect it with Python. If I'd had to do it from scratch I'd write it completely in python. Got a bunch of existing Octave scripts to read out some hardware. Python matplotlib draws the data while the Octave-script keeps running in parallel. To convert the matrix data from Octave to Python I use JSON.
#OCTAVE PARALLEL HOW TO#
These latter features may be used to override decisions made by apt-get's conflict resolution system.I will show here how to run Octave script in it's own thread and to have this script send data to Python using a TCP connection.
#OCTAVE PARALLEL PLUS#
Similarly a plus sign can be used to designate a package to install. If a hyphen is appended to the package name (with no intervening space), the identified package will be removed if it is installed. The /etc/apt/sources.list file is used to locate the desired packages. All packages required by the package(s) specified for installation will also be retrieved and installed. Each package is a package name, not a fully qualified filename.
#OCTAVE PARALLEL INSTALL#
APT simplifies the process of managing software on Unix-like computer systems by automating the retrieval, configuration and installation of software packages, either from precompiled files or by compiling source code.Īpt-get is the command-line tool for handling packages, and may be considered the user's "back-end" to other tools using the APT library.Īpt-get install is followed by one or more packages desired for installation or upgrading. More information about install using apt-getĪdvanced Package Tool, or APT, is a free software user interface that works with core libraries to handle the installation and removal of software on Debian, Ubuntu and other Linux distributions. Parallel execution of Octave in clusters of computers
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