CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Memo on sections

• Added for new features.
• Changed for changes in existing functionality.
• Deprecated for soon-to-be removed features.
• Removed for now removed features.
• Fixed for any bug fixes.
• Security in case of vulnerabilities.

[unreleased]

[0.17.1]

Added

• build wheels for python 3.13

Fixed

• in space MOCs: upper right corner of a zone can now have a longitude of 360° [#180]

[0.17.0]

Added

• Add support of regions.Regions [#163]
• 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

Changed

• MOC.from_healpix_cells also accepts an int as depth if all the cells are at the same level
• MOC.from_vizier_table() does not call the MOCServer anymore. It now raises an error if the catalog of table name is invalid (see #143). It also accepts max_depth as an argument. This should replace nside in a future version.
• MOC.from_ivorn() now accepts max_depth as an argument. This should reb=place nside later.

Fixed

• ranges in from_depth29_ranges is now optional, to be consistent with the existing docstring
• from_healpix_cells and from_valued_healpix_cells now filter out invalid cells and raise a warning when they do so
• fix multimoc operations (were all failing with a TypeError) [#153]

[0.15.0]

Added

• a new method MOC.from_cones allows to create a list of MOCs from a list of centers and radii. This is multi-threaded.
• new method MOC.from_boxes allows to create lists of MOCs from boxes. This is multi-threaded.

Changed

• MOC.from_polygons now accepts list of coordinates (that it assumes to be in degrees and ICRS frame) rather than only lists of SkyCoord objects [#137]

[0.14.0]

Fixed

• MOC.border no does not attempt on plotting the border when the MOc is out of the view anymore.
• fix an issue where the number of references to the rust side was not incremented when a moc was created from a pickle file. This also solves a lot of issues with the multiprocessing module that calls pickle behind the scenes.

Added

• MOC.sum_in_multiordermap takes an astropy table with a UNIQ column and a column name to sum. It returns the sum of the column in the intersection between the MOC and the Multi-order-map. MOC.probability_in_multiordermap has a similar behavior but also converts a probability-density into a probability.
• added MOC.probabilities_in_multiordermap, which is a multithreaded (on the Rust side) version of MOC.probability_in_multiordermap.
• MOC.from_polygons now allows to create more efficiently some SpaceMOCs from a list a of polygons.
• STMOC.new_empty() allows to create a new empty Space-Time MOC.
• MOC.from_box to create rectangular MOCs
• MOC.from_astropy_regions to create MOCs from astropy regions.

[0.13.1]

Changed

• currently supported versions of python now range from 3.8 to 3.12. There is a catch for python 3.8: the corresponding astropy version is pinned to astropy<5.3
• the deprecated write method now calls save internally

Fixed

• all methods of MOC with signatures like function(self, lon, lat, **kwargs) now accept both lists of coordinates and single coordinates
• mocpy.stmoc.STMOC.from_spatial_coverages also accepts single moc objects (had to be a list before)
• AbstractMOC derives from metaclass ABCMeta

Added

• save now accepts fits_keywords that are added to the fits header before writing the file
• n_cells gives the number of cells corresponding to a given order

[0.13.0]

Added

• brand new support of frequency MOC ! 🚀
• documentation has galleries of notebooks

Changed

• AbstractMOC.__init__ raises PermissionError if user tries to modify order manually
• AbstractMOC.store_index_dtype became AbstractMOC._store_index_dtype as is is intended for internal use only to handle 32 and 64b systems
• tests in doctrings now run in CI too
• CI won't run for linux 32 anymore, but support will still be provided upon bug repports

Fixed

• sum([moc1, moc2, moc3]) now works correctly (fixes #99)
• MOC.wcs() now works correctly for non-squared figures (fixes #98)
• MOC.from_fits_image now works even when the fits file has no CDELT (fixes #90)

[0.12.3]

Added

• MOC.__init__ and STMOC.__init__ raise PermissionError if user tries to modify order manually

Fixed

• 🐛 position angle limited to PI/2 instead of PI in MOC.from_elliptical_cone

[0.12.2]

Added

• MOC.MAX_ORDER and TimeMOC.MAX_ORDER to replace former IntervalSet.HPX_MAX_ORDER and IntervalSet.TIME_MAX_ORDER
• MOC.to_depth29_ranges (+test) to replace former IntervalSet.nested
• TimeMOC.to_depth61_ranges
• tests on MOC.uniq_hpx

Bugfix

• 🐛 return statement was missing in MOC.uniq_hpx

[0.12.1]

Added

• add methods AbstractMOC.__copy__ and AbstractMOC.__deepcopy__
• add op parameter timeout in query_simbad and query_vizier_table that defaults to 1000s
• warning if max_depth is not set in MOC.from_valued_cells

Changed

• ⚠️ BREAKING: public function set in plot.axis_viewport module has been renamed into _set_wcs and moved to module plot.utils

Bugfix

• 🐛 a bug was introduced in [0.12.0] on the functions query_simbad and query_vizier_table that are compatible with pre_v2 format only
• 🐛 when max_depth=None in MOC.from_valued_cells

[0.12.0]

Removed

• ⚠️ BREAKING: Deserialisation of ST-MOCs from FITs HDU (reading/writting FITS file fully supported on the Rust side)
• ⚠️ BREAKING: Remove support of pre_v2 ST-MOC fits file writing (reading still ok)
• ⚠️ BREAKING: internal class IntervalSet removed
• ⚠️ BREAKING: utils file removed

Added

• add hdu_index optional parameter in MOC.from_fits_images
• TimeMOC.to_time_ranges to get time ranges from a T-MOC
• MOC.to_rgba and MOC.dsiplay_preview for a quick S-MOC allsky view
• uniq_gen and uniq_zorder added to AbstractMOC
• flatten added to AbstractMOC
• constructor MOC.from_healpix_depth29_ranges
• parameter values_are_densities in MOC.from_valued_healpix_cells
• parameter complement in MOC.from_polygon
• +, |, -, &, ~ operators redefinition for union, union, difference, intersect and complement respectively.
• contains_skycoords and contains_lonlat to replace contains
• add fold parameter into save and to_string
• add MOC.barycenter and MOC.largest_distance_from_coo_to_vertices of a moc
• add MOC.wcs giving an astropy WCS centered around a the barycenter of moc

Changed

• ⚠️ BREAKING: times_to_microseconds and microseconds_to_times moved from utils to tmoc.
• ⚠️ BREAKING: uniq removed from IntervalSet, but replacing method uniq_hpx added to MOC
  • ⚠️ BREAKING: the output of uniq_hpx is not sorted (but follow the order of the cells in the internal range list)
• ⚠️ BREAKING: STMOC.query_by_time now takes in input a TimeMOC
• ⚠️ BREAKING: STMOC.query_by_space now returns a MOC
• ⚠️ BREAKING: TimeMOC.contains does not take any longer a time resolution as input parameter
• ⚠️ BREAKING: TimeMOC.contains_with_timeresolution as been added with the previous behaviour of TimeMOC.contains
• add save to AbstractMOC and remove from sub-classes
• add to_string to AbstractMOC and remove from sub-classes
• from_uniq removed from IntervalSet and added to MOC
• change the contains implementation to be much memory efficient, faster, and thus working at all HEALPix orders.
• update cdshealpix and moc dependencies
• ⚠️ BREAKING: MOC.from_healpix_cells
  • now requires the max_depth, the depth of the MOC we want to create
  • optional parameter fully_covered removed since it was not used
• ⚠️ BREAKING: in MOC.from_valued_healpix_cells, the user now have to degrade manually the resolution if max_depth < deepest cell depth.
• ⚠️ BREAKING: World2ScreenMPL has been renamed WCS

[0.11.0]

Added

• Add MOC.from_ring
• Option include_indirect_neighbours to split and split_count

Changed

• Extend the moc.fill and moc.border to directly accept an astropy wcs object. This solves the issue #69
• Addresses the plotting artefacts when plotting big HEALPix cells. Cells of depth < 3 are subdivided to the depth 3 before being plotted
• Set the default time_order from 29 to 61, i.e. to max_order in stmoc.from_spatial_coverages (29 was the max_order in the previous MOC V2.0 version).

Improvement

• More robust FITS UNIQ deserialization (ignoring 0 values)

[0.10.0]

Changed

• Rename TimeMOC logical operations taking a deltaT constraint adding the sufix _with_timeresolution
• WARNING logical TimeMOC logical operations are now at the deepest depth (no time resolution parameter)

Added

• Deprecate from_fits, ... methods
• Add MOC.spli_count, MOC.split, MOC.from_multiordermap_fits_file
• Add support for u16 and u32 fits MOC and TMOC in 'load'

Bug correction

• Replace empty moc shape (1, 0) by (0, 2)
• Fix tmoc.max_time
• Fix doc (due to an evolution of sphinx)

[0.9.0]

Changed

• Add compatibility with MOC2.0: Time depth in now in [0, 61] instead of [0, 29]
• Add from_time_ranges_in_microsec_since_jd_origin in temporal_coverage.rs
• Time operations now precise to the microseconds, see:
  • utils.times_to_microseconds
    • utils.microseconds_to_times
• Add several options to moc.from_valued_healpix_cells
• Add load and save methods for serialization/deserialization in pure Rust (ensuring MOC2.0 compatibility).
• Improve performance and some operations (like intersection and union)
• Improve to_uniq performances (x5 according to a bench in pure Rust)
• Improve add_neighbours and remove_neighbours performances (now in pure Rust)

Internal Python changes

• complement(): remove from AbstractMoc / IntervalSet, and add it in Moc and TimeMoc (because complement now depends on the qty)

Internal changes

• Remove the moc crate from MOCPy and publish it as a standalone here (with a lot of added stuff)
• Add FITS serialization/deserialization on the Rust code.
• Add ASCII and JSON serialization/deserialization on the Rust code.
• Move rand from dependencies to dev-dependenciies
• Generalize the code to support various quantities with different dimensions (HEALPix indices, Time, ...)
  • create MocableQty and MocQty implemented by Hpx and Time
• Remove depth/qty dependent operations from Ranges (depth/complement/degrade), create a trait for generic operations
• Add MocRange(s) since we introduced MocQty for depth dependent operations, and introduce both: HpxRange(s) and TimeRange(s)
• Add MocRanges2D for depth dependent operations
• Rename NestedXX in HpxXX to possibly support Ring indices (the code should be the same as far as the NSIDE is a power of 2)
• ...

[0.8.5]

Changed

• change the CI: replace travis and appveyor by github actions
• replace setuptools rust by maturin
• update dependencies

[0.8.2]

Changed

• remove ',' separator when deserializing MOC from ascii (this follows the MOC 1.1 standard http://ivoa.net/documents/MOC/20191007/REC-MOC-1.1-20191007.pdf)

[0.8.1]

Added

• from_valued_healpix_cells

Changed

• API Breaking change! from_image -> from_fits_image(hdulist, max_norder)
• WCS -> World2ScreenMPL. It's a context manager class

[0.7.4]

Added

• Change API for ST-MOC: query_by_time, query_by_space

[0.7.0]

Added

• Space-Time coverages, classmethod from creating them from (time, ra, dec) tuples
• Query a Space-Time coverages with time frames and spatial coverages

[0.6.0]

Added

• Rust backend
• Add tests for windows py27 and py3
• from_polygon relies on cdshealpix. spherical_geometry dependency removed!
• change astropy-healpix dependency from mandatory to optional. astropy-healpix is now used in only a few deprecated methods (such as the old plot method from mocpy.MOC and get_boundaries which will soon make use of cdshealpix too).

Changed

• API CHANGE!: the inside parameter of from_polygon and from_polygon_skycoord has been removed ! The inside of the polygon is deduced from the order of the sky coordinates passed.

[0.5.7] - 2019-04-12

Changed

• Change from_cells to from_healpix_cells. Its API does change too. It now takes the three ipix, depth and flags numpy arrays separatly instead as a numpy structure. This has the advantage of direcltly passing the arrays returned by cdshealpix. Creating a numpy structured array from simple numpy column arrays needed to copy the data from the arrays to the structural array.
• Add cdshealpix as a dep. Will remove astropy-healpix dep. When cdshealpix will be merged into astropy-healpix then the astropy-healpix dep will be restored.

[0.5.6] - 2019-04-11

Added

• Serialize to str. Call moc.serialize(format="str")
• Load a MOC from a str (see section 2.3.2 of MOC IVOA paper).
• Fix vizualization bug when plotting all the allsky MOC. Biggest cells to plot are limited to depth 2. Cells of depth 0 and 1 are subdivided into cells of depth 2 for the visualization purpose.

Changed

• Add of a overwrite optional keyword in the write method. Before 0.5.6 the default behaviour was to always overwrite already existing files. Now it does not overwrite by default. To do that, you have to set the overwrite keyword.

[0.5.5] - 2019-02-08

Added

• Plotting a moc with matplotlib axes is faster (concers fill and border methods). The level of detail of the plotted MOC is function of the FoV. The MOC is degraded to the minimum depth so that a cell of this depth can be contained in 1px at the center of the projection. For small FoVs, we only plot the part of MOC contained in the view (thanks to the speed of logical operation between MOCs).
• The docs features more examples on how to plot a MOC, perform logical operations between MOCs, etc...
• The doc of the API has been reviewed and features some test codes that can be run with the sphinx command make doctest.

Removed

• The use of multiprocessing in the fill method.

[0.5.4] - 2019-02-06

Added

• Novel python file hierarchy. moc/ and tmoc/ containing the sources for MOC (resp. TMOC) classes.
• A new mocpy.WCS object type that must be declared in a context (with WCS(...) as wcs:) for use. This facilitates the creation of an astropy.wcs.WCS object for plotting a MOC in a matplotlib axes. This replaces the wcs.spatial.utils.make_wcs method that returned an astropy.wcs.WCS object.
• Use of multiprocessing.Pool in mocpy.MOC.fill

Removed

• wcs.spatial.utils.make_wcs has been removed. See mocpy.WCS as replacement.

[0.5.3] - 2019-01-30

Added

• A new constructor from_cells. It returns a new MOC instance from a numpy structured array representing the cells of a MOC. The structured array passed must contains 3 attributes: "ipix": np.uint64, "depth": np.uint32, "fully_covered": np.uint8 (a flag bit. For the moment its value has no effect for the newly created MOC).

[0.5.2] - 2019-01-28

Added

• A new from_polygon_skycoord method added where you can pass an astropy.coordinates.SkyCoord describing the polygon coordinates instead of two lon, lat astropy.units.Quantity. The max_depth, and inside optional arguments remain.

Changed

• Remove spherical geom from dependency so that astroquery.cds wheel for windows/py3 can be generated. Spherical Geom is only used in MOC.from_polygon. A message is addressed to the user telling him to install sphrical geom if it is not installed and if he wants to create a MOC from a polygon.

[0.5.1] - 2019-01-25

Changed

• pip install mocpy now installs all the dependencies of mocpy. See the setup.py file. (requires changed to install_requires).

[0.5.0] - 2019-01-09

Added

• Two methods fill and border taking an astropy.wcs.WCS and a matplotlib axis. fill projects the MOC into the WCS and draws it on the MPL axis using pathpatches for each HEALPix cell. border draws the border the same way and requires a WCS and an MPL axe too. You can pass to these functions additional keyword arguments that will directly be passed to MPL when plotting (e.g. the color, the linewidth, and alpha component etc...). Check the notebooks to see how to use these new methods.
• You can retrieve the list of skycoords describing the border MOC. Each skycoord from the list refers to one border of the MOC (either an external border or the border of a hole in a connexe MOC). The process takes for the moment a quite amount of time and thus may be optimized in the future. A new GALEX boundaries notebook has been added so that you can check how it works. I recommend to decrease the order of GALEX to 5 before computing the boundaries otherwise it will take some time. This add relies on the issue #29 initiated by @ggreco77.
• A new from_polygon method taking the vertices (i.e. (skycoords) or (lon, lat) tuples) responsible for setting up a new MOC from a polygon. An inside SkyCoord point is requested and says to the algorithm which area (2 possible as on the sphere, an area and its complement are both finite) must be chosen. If no inside sky coord is given, we consider the mean of the vertices of the polygon as belonging to the MOC (This is without ambiguity for convex polygons but it may not work for concave ones). Vertices describing a convex or concave polygon are accepted. Vertices describing a self-intersecting polygon are not accepted. This method does not rely on astropy_healpix as there is for the moment no method returning the set of HEALPix cells belonging to a polygon and is thus implemented purely in Python.
• A new serialize public method allows to serialize the MOC in two possible format, FITS and json. For a FITS serialization the method returns an astropy HDU binary table. For a JSON serialization, the method returns a python dictionary storing order-[list of HEALPix cells] as key-value pairs.

Changed

• write method does not take a write_to_file argument. For serialization purpose, there is now a new serialize method.
• astropy_healpix.HEALPix.lonlat_to_healpix seems to not accept astropy MaskedColumn anymore. For lon as a MaskedColumn, please pass lon.T * u.deg to mocpy.MOC.from_lonlat. We need to transpose the column and then convert it to an astropy.units.Quantity.
• Notebooks have been updated and all the plots now use the new methods fill and border.
• A new package spatial, invisible from the user, but keeping all the code of spatial MOCs (plotting methods, border computation, special utils for creating WCS...) has been created. tmocs and core functions are still located in the root of the project.
• Add of a changelog