Maint prepare v0.16.2

.gitignore

@@ -1 +1,2 @@
 *.pyd
+docs/_build

CHANGELOG.md

@@ -16,6 +16,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [unreleased]
 
+## [0.16.2]
+
 ## Fixed
 
 * `MOC.from_astropy_regions` now accepts `EllipseSkyRegion` and `RectangleSkyRegion` where

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "MOCPy"
-version = "0.16.1"
+version = "0.16.2"
 authors = [
   "Matthieu Baumann <[email protected]>",
   "Thomas Boch <[email protected]>",

codemeta.json

@@ -9,8 +9,8 @@
     "dateModified": "2023-12-04",
     "issueTracker": "https://github.com/cds-astro/mocpy/issues",
     "name": "MOCpy",
-    "version": "0.16.1",
-    "softwareVersion": "0.16.1",
+    "version": "0.16.2",
+    "softwareVersion": "0.16.2",
     "description": "Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)",
     "applicationCategory": ["Astronomy", "Science"],
     "funding": "ESCAPE 824064, ASTERICS 653477",

docs/index.rst

@@ -29,8 +29,9 @@ MOC is an `IVOA standard <http://ivoa.net/documents/MOC/>`__ enabling descriptio
 of arbitrary sky regions. Based on the HEALPix sky tessellation, it maps
 regions on the sky into hierarchically grouped predefined cells.
 
-MOCPy provides the :py:class:`~mocpy.MOC` and :py:class:`~mocpy.TimeMOC` classes handling
-respectively the manipulation of spatial and temporal MOCs.
+MOCPy provides the :py:class:`~mocpy.MOC`,  :py:class:`~mocpy.TimeMOC`,
+:py:class:`~mocpy.FrequuencyMOC`, :py:class:`~mocpy.STMOC` classes handling
+respectively the manipulation of spatial, temporal, frequency, and space-time MOCs.
 
 As an example, here is the sky coverage of the SDSS sky survey:
 

docs/install.rst

@@ -1,6 +1,9 @@
 Install
 =======
 
+Stable versions
+---------------
+
 MOCPy relies on the following mandatory external dependencies :
 
 - `cdshealpix <https://cds-astro.github.io/cds-healpix-python/>`__
@@ -19,3 +22,18 @@ To upgrade the ``mocpy`` package to the latest version::
 To install ``mocpy`` type::
 
     pip install mocpy
+
+From source
+-----------
+
+To install MOCPy from source, you'll need `Rust <https://www.rust-lang.org/tools/install>`_.
+
+Then you can download the source code from `this link https://github.com/cds-astro/mocpy/archive/refs/heads/master.zip`_
+or directly from the GitHub repository. Once in the source code folder, you'll have to do
+
+::
+    > pip install maturin
+    > maturin develop --release
+    > pip install .
+
+And you'll have the very last changes running on your machine.

notebooks/FITS-image-pixels-intersecting-MOC.ipynb

@@ -77,7 +77,7 @@
     "im = ax.imshow(\n",
     "    hdu[0].data,\n",
     "    origin=\"lower\",\n",
-    "    norm=simple_norm(hdu[0].data, \"sqrt\", min_cut=0, max_cut=150),\n",
+    "    norm=simple_norm(hdu[0].data, \"sqrt\", vmin=0, vmax=150),\n",
     ")"
    ]
   },
@@ -148,7 +148,7 @@
     "im = ax.imshow(\n",
     "    img_test,\n",
     "    origin=\"lower\",\n",
-    "    norm=simple_norm(hdu[0].data, \"sqrt\", min_cut=0, max_cut=150),\n",
+    "    norm=simple_norm(hdu[0].data, \"sqrt\", vmin=0, vmax=150),\n",
     ")"
    ]
   },

python/mocpy/moc/moc.py

@@ -633,8 +633,8 @@ def from_vizier_table(cls, table_id, max_depth=None, nside=None):
         releases. These catalogs contain one or more tables.
 
         Here are two webpages where you can read the
-        `list of catalogs https://cdsarc.cds.unistra.fr/viz-bin/moc/?format=html`_
-        and the `list of tables https://cdsarc.cds.unistra.fr/viz-bin/moc/?format=html&list=tables`_
+        `list of catalogs <https://cdsarc.cds.unistra.fr/viz-bin/moc/?format=html>`_
+        and the `list of tables <https://cdsarc.cds.unistra.fr/viz-bin/moc/?format=html&list=tables>`_
         currently available.
         """
         if nside:

python/mocpy/version.py

@@ -1 +1 @@
-__version__ = "0.16.1"
+__version__ = "0.16.2"