Add option to turn off optimization in fill. The optimization degrades MOCs that are
way more precise than the given WCS #166
Creation of a MOC from a zone (defined by min/max ra and dec)MOC.from_zone
Creation of a single MOC from a lot of cones/boxes is faster with the new option in
MOC.from_cones/MOC.from_boxes: the keyword 'union_strategy' can now take the value
'small_cones'/'small_boxes' or 'large_cones'/'large_boxes'.
Small cones/boxes is faster for non-overlapping cones/boxes.
MOC.from_fits_images can now loop through the HDUList to only keep images with the
parameter hdu_index set to -1 #110
MOC.from_fits_image now has an 'approximate' option that returns a rough approximation
of the footprint of the image data from the corners of a square deduced from its WCS and
does not apply any mask.
Fixed
fix healpix order corresponding to 1 pixel on the image calculation in MOC.from_fits_image#169
MOC.from_fits_images will return an empty MOC and emit a warning if there are no images in the
FITS file instead of returning an error.
Add option to turn off optimization in fill. The optimization degrades MOCs that are
way more precise than the given WCS #166
Creation of a MOC from a zone (defined by min/max ra and dec)MOC.from_zone
Creation of a single MOC from a lot of cones/boxes is faster with the new option in
MOC.from_cones/MOC.from_boxes: the keyword 'union_strategy' can now take the value
'small_cones'/'small_boxes' or 'large_cones'/'large_boxes'.
Small cones/boxes is faster for non-overlapping cones/boxes.
MOC.from_fits_images can now loop through the HDUList to only keep images with the
parameter hdu_index set to -1 #110
MOC.from_fits_image now has an 'approximate' option that returns a rough approximation
of the footprint of the image data from the corners of a square deduced from its WCS and
does not apply any mask.
Fixed
fix healpix order corresponding to 1 pixel on the image calculation in MOC.from_fits_image#169
MOC.from_fits_images will return an empty MOC and emit a warning if there are no images in the
FITS file instead of returning an error.
[0.16.2]
Fixed
MOC.from_astropy_regions now accepts EllipseSkyRegion and RectangleSkyRegion where
width > height.
[0.16.1]
Fixed
from_healpix_cells and from_valued_healpix_cells accept order zero cells again
[0.16.0]
Added
MOC.mask_uniq allows to mas an array of uniq cells with a MOC
MOC.values_and_weights_in_multiorder_map allows to filter a multiordermap by a MOC with
weights corresponding to the area of the cells intersecting the MOC and the multiordermap
the mocpy.WCS class can now accept a sequence of angles as its fov argument rather than always
representing square areas of the sky.
MOC.from_polygons and MOC.from_polygons now accept a boolean complement that allows to chose
between the small MOC described by the polygon or the bigger one (its complement)
implement multi-moc operations on STMOCs (ex: stmoc1.union(stmoc2, stmoc3, ...)) for union,
intersection, and difference
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Bumps mocpy from 0.13.1 to 0.17.0.
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Changelog
Sourced from mocpy's changelog.
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Commits
744a8fcadd support of numpy2.0c8f6fc4maint: depend on stable moclib-rust and cdshealpix-rust. Also apply modificat...0f19457maint: revert supporting python 3.13, this is blocked by pyerfa (astropy mand...99dd1f2maint: add python 3.13 in cic7a13b0fix: switch to Array vendored by numpy crate to avoid versions mismatchs61fc465maint: prepare 0.17.0dffc32bmaint: add support for python 3.13 and relax constraint on numpy1ce2c6amaint: bump pyo3 to 0.22b253f10fix: from_fits_image and from_fits_images [PR #168]8851681feat: add approximate option for faster MOC generationDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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