Make .grids an ndarray instead of a list-of-ndarrays
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@ -47,7 +47,7 @@ class Grid(object):
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exyz = [] # type: List[numpy.ndarray]
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# epsilon (or mu, or whatever) grids
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grids = [] # type: List[numpy.ndarray]
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grids = [] # type: numpy.ndarray
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# [[x0 y0 z0], [x1, y1, z1], ...] offsets for grid 0,1,...
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shifts = None # type: numpy.ndarray
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@ -265,7 +265,7 @@ class Grid(object):
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if len(initial) < num_grids:
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raise GridError('Too few initial grids specified!')
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self.grids = [None] * num_grids
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self.grids = numpy.empty(grids_shape)
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for i in range(num_grids):
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if is_scalar(initial[i]):
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if initial[i] is not None:
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