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Thread: cccam-tools.py: detailled ecm timing stats with python

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    cccam-tools.py: detailled ecm timing stats with python

    This is an update on my own python-based cccam tool collection.


    Everything is written in python and its only tested with Ubuntu Linux - all major platforms should be possible to support but I expect minor problems here and there.


    The package contains a readme txt describing all tools. The tool which is actually useful is ecmstats.py:


    ecmstats.py
    a tool to collect ecm times and plot graphical statistics for comparison.
    You get a nice "histogram-like" distribution plot ( "cumulative distribution function" to be exact) describing an ecm timing in detail.


    I believe that this could become a great tool to evaluate peers. However, do not expect too much, its just the first test version. Im not sure how useful this really is, I still need to start playing with it in detail. However, I might not find much time for it in the near future, so feedback would also be great


    See the following example:








    see the readme for details.


    how to read the plot:
    Values at the left end of the plot, at x=0,
    represent the best ecm times ever seen for this share, the right end, at x=1 shows the highest ecm times seen.


    The X-Axis represents probability between 0 and 1:
    (numbers are made up and not connected to the images above...)


    A value of 0.8 at position x=0 means:
    you have a 0% chance to get ecm times better than 0.8s - its the best value


    A value of 0.9 at position x=0.5 means:
    you have a 50% chance to get ecm times better than 0.9s - every second sample is worse


    A value of 1.2 at position x=0.9 means:
    you have a 90% chance to get ecm times better than 1.2s - only every tenth sample is worse


    In general, the statistics curve should be as flat as possible.


    gracias a phluxx
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