autoarray.inversion.mesh.mesh.RectangularBilinearAdaptDensity#

class RectangularBilinearAdaptDensity[source]#

Bases: RectangularRTUAdaptDensity

A rectangular mesh of pixels used to reconstruct a source on a regular grid, whose pixels adapt to the density of the traced source-plane coordinates through the empirical rank-CDF transform.

The mesh is defined by a 2D shape (total_y_pixels, total_x_pixels) and is indexed in row-major order:

Index 0 corresponds to the top-left pixel.

Indices increase from left to right across each row, and from top to bottom across rows.

Methods

`interpolator_from`	Mapper objects describe the mappings between pixels in the masked 2D data and the pixels in a pixelization, in both the data and source frames.
`mesh_weight_map_from`	The weight map of a rectangular pixelization is None, because magnificaiton adaption uses the distribution and density of traced (y,x) coordinates in the source plane and not weights or the adapt data.
`relocated_grid_from`	Relocates all coordinates of the input source_plane_data_grid that are outside of a border (which is defined by a grid of (y,x) coordinates) to the edge of this border.
`relocated_mesh_grid_from`	Relocates all coordinates of the input source_plane_mesh_grid that are outside of a border (which is defined by a grid of (y,x) coordinates) to the edge of this border.
`zeroed_pixels_from`	Return the positive mesh-local indices of the pixels the inversion holds at zero, for a mapper whose parameter block is pixels long.

Attributes

`interpolator_cls`
`interpolator_kwargs`	Extra keyword arguments interpolator_from forwards to interpolator_cls — the rank-CDF transform selector; the empirical rank CDF has no kernel hyperparameters.
`supports_split_regularization`	Whether this mesh supports "split" regularization schemes (e.g. `ConstantSplit`, `AdaptSplit`, `AdaptSplitZeroth`).
`zeroed_pixels`	Return the positive 1D pixel indices of the edge pixels in a rectangular mesh.

property interpolator_kwargs: dict#: Extra keyword arguments interpolator_from forwards to interpolator_cls — the rank-CDF transform selector; the empirical rank CDF has no kernel hyperparameters.