Source code for autoarray.inversion.pixelizations.voronoi_nn

from autoarray.inversion.pixelizations.voronoi import VoronoiMagnification
from autoarray.inversion.pixelizations.voronoi import VoronoiBrightnessImage


[docs]class VoronoiNNMagnification(VoronoiMagnification): """ A full description of this class is given for the class `VoronoiMagnification`. The only difference for this class is that when it is used by the `Mapper` to map coordinates from the data frame to source frame it uses interpolation. This means that every pixel in the data is mapped to multiple Voronoi pixels, where these mappings are weighted. This uses uses a natural neighbor interpolation scheme (https://en.wikipedia.org/wiki/Natural_neighbor_interpolation). """ @property def uses_interpolation(self): return True
[docs]class VoronoiNNBrightnessImage(VoronoiBrightnessImage): """ A full description of this class is given for the class `VoronoiBrightnessImage`. The only difference for this class is that when it is used by the `Mapper` to map coordinates from the data frame to source frame it uses interpolation. This means that every pixel in the data is mapped to multiple Voronoi pixels, where these mappings are weighted. This uses uses a natural neighbor interpolation scheme (https://en.wikipedia.org/wiki/Natural_neighbor_interpolation). """ @property def uses_interpolation(self): return True @property def is_stochastic(self) -> bool: return True