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[Harsh Patel <question672245@xxxxxxxxxxxxxxxxxxxxx>]

New question #672245 on Yade:
https://answers.launchpad.net/yade/+question/672245

Hello all,
I am running a simple YADE simulation which generates spheres in a cylindrical container and lets it settle under gravity. The code is as follows: https://pastebin.com/JyYyaGdj

The simulation runs perfectly for the first few minutes. But after that, it shows the following error:
In [1]: Unhandled exception in thread started by <function liveUpdate at 0x7f881e395578>
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/usr/lib/x86_64-linux-gnu/yade/py/yade/plot.py in liveUpdate(timestamp)
    506                         for ax in axes:
    507                                 try:
--> 508                                         ax.relim() # recompute axes limits
    509                                         ax.autoscale_view()
    510                                 except RuntimeError: pass # happens if data are being updated and have not the same dimension at the very moment

/usr/lib/python2.7/dist-packages/matplotlib/axes/_base.pyc in relim(self, visible_only)
   1936         for line in self.lines:
   1937             if not visible_only or line.get_visible():
-> 1938                 self._update_line_limits(line)
   1939 
   1940         for p in self.patches:

/usr/lib/python2.7/dist-packages/matplotlib/axes/_base.pyc in _update_line_limits(self, line)
   1799         Figures out the data limit of the given line, updating self.dataLim.
   1800         """
-> 1801         path = line.get_path()
   1802         if path.vertices.size == 0:
   1803             return

/usr/lib/python2.7/dist-packages/matplotlib/lines.pyc in get_path(self)
    955         """
    956         if self._invalidy or self._invalidx:
--> 957             self.recache()
    958         return self._path
    959 

/usr/lib/python2.7/dist-packages/matplotlib/lines.pyc in recache(self, always)
    665             y = self._y
    666 
--> 667         self._xy = np.column_stack(np.broadcast_arrays(x, y)).astype(float)
    668         self._x, self._y = self._xy.T  # views
    669 

/usr/lib/python2.7/dist-packages/numpy/lib/stride_tricks.pyc in broadcast_arrays(*args, **kwargs)
    247     args = [np.array(_m, copy=False, subok=subok) for _m in args]
    248 
--> 249     shape = _broadcast_shape(*args)
    250 
    251     if all(array.shape == shape for array in args):

/usr/lib/python2.7/dist-packages/numpy/lib/stride_tricks.pyc in _broadcast_shape(*args)
    182     # use the old-iterator because np.nditer does not handle size 0 arrays
    183     # consistently
--> 184     b = np.broadcast(*args[:32])
    185     # unfortunately, it cannot handle 32 or more arguments directly
    186     for pos in range(32, len(args), 31):

ValueError: shape mismatch: objects cannot be broadcast to a single shape
****************************

I am pretty sure its not a compilation error as the simulation runs perfectly in the beginning. Please let me know where the problem lies. Thank you.


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