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@ -179,7 +179,7 @@ class Shape(PositionableImpl, LayerableImpl, Rotatable, Mirrorable, Copyable, Sc
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xs2 = (xs[:-1] + xs[1:]) / 2
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inds2 = get_grid_inds(xs2)
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xinds = numpy.rint(numpy.arange(gxi_min, gxi_max - 0.99, 1 / 3), dtype=numpy.int64, casting='unsafe')
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xinds = numpy.rint(numpy.arange(gxi_min, gxi_max - 0.99, 1 / 3)).astype(numpy.int64)
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# interleave the results
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yinds = xinds.copy()
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@ -288,7 +288,7 @@ class Shape(PositionableImpl, LayerableImpl, Rotatable, Mirrorable, Copyable, Sc
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for contour in contours:
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# /2 deals with supersampling
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# +.5 deals with the fact that our 0-edge becomes -.5 in the super-sampled contour output
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snapped_contour = numpy.rint((contour + .5) / 2, dtype=numpy.int64, casting='unsafe')
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snapped_contour = numpy.rint((contour + .5) / 2).astype(numpy.int64)
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vertices = numpy.hstack((grx[snapped_contour[:, None, 0] + offset_i[0]],
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gry[snapped_contour[:, None, 1] + offset_i[1]]))
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jan