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WIP type coverage for core modules #244
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.from_image_properties
class method #233. Removed convenience classmethodsfrom_image_properties
from across the code base. The recommended workflow is to create a :class:mpol.coordinates.GridCoords
object and pass that to instantiate these objects as needed, rather than passingcell_size
andnpix
separately. For nearly all but trivially short workflows, this simplifies the number of variables the user needs to keep track and pass around revealing the central role of the :class:mpol.coordinates.GridCoords
object and its useful attributes for image extent, visibility extent, etc. Most importantly, this significantly reduces the size of the codebase and the burden to maintain, test, and document multiple entry points to keynn.modules
. We removedfrom_image_properties
frommpol.datasets.GriddedDataset
mpol.datasets.Dartboard
mpol.fourier.NuFFT
mpol.fourier.NuFFTCached
mpol.fourier.FourierCube
mpol.gridding.GridderBase
mpol.gridding.DataAverager
mpol.gridding.DirtyImager
mpol.images.BaseCube
mpol.images.ImageCube
nn.Parameter
from ImageCube #246 Make thepassthrough
behaviour of :class:mpol.images.ImageCube
the default and removed this parameter entirely. Previously, it was possible to have :class:mpol.images.ImageCube
act as a layer withnn.Parameter
s. This functionality has effectively been replaced since the introduction of :class:mpol.images.BaseCube
which provides a more useful way to parameterize pixel values. If a one-to-one mapping (including negative pixels) fromnn.Parameter
s to output tensor is desired, then one can specifypixel_mapping=lambda x : x
when instantiating :class:mpol.images.BaseCube
.mpol.utils.log_stretch
.