m.r.Runner(object) : class documentation

Part of mcmandelbrot.runner View In Hierarchy Source for runner.py Project Page for AsynQueue

I run a multi-process Mandelbrot Set computation operation.

Class Variable N_processes 0 The number of processes to use, disregarded if useThread is set True in my constructor.
Method __init__ Undocumented
Method shutdown Undocumented
Method N_processes Undocumented
Method log Undocumented
Method run Runs my compute method to generate a PNG image of the Mandelbrot Set and write it in chunks to the file handle or write-capable object fh.
Method compute Computes the Mandelbrot Set under Twisted and generates a pretty image, written as a PNG image to the supplied file handle fh one row at a time.
Method showStats Displays stats about the run on stdout
N_processes 0 =
The number of processes to use, disregarded if useThread is set True in my constructor.
def __init__(self, N_values, stats=False, verbose=False):
Undocumented
def shutdown(self):
Undocumented
@property
def N_processes(self):
Undocumented
def log(self, *args):
Undocumented
def run(self, fh, Nx, cr, ci, crPM, ciPM, dCancel=None, requester=None):

Runs my compute method to generate a PNG image of the Mandelbrot Set and write it in chunks to the file handle or write-capable object fh.

The image is centered at location cr, ci in the complex plane, plus or minus crPM on the real axis and ciPM on the imaginary axis.

ReturnsA Deferred that fires with the total elasped time for the computation and the number of pixels computed.
@defer.inlineCallbacks
def compute(self, fh, xSpan, ySpan, dCancel=None):

Computes the Mandelbrot Set under Twisted and generates a pretty image, written as a PNG image to the supplied file handle fh one row at a time.

ReturnsA Deferred that fires when the image is completely written and you can close the file handle, with the number of pixels computed (may be a lower number than expected if the connection terminated early).
def showStats(self, callInfo):

Displays stats about the run on stdout

API Documentation for AsynQueue, generated by pydoctor at 2018-08-29 10:51:14.