Fix docs build

docs/conf.py

@@ -89,11 +89,11 @@
 }
 
 intersphinx_mapping = {
-    "python": ("https://docs.python.org/3.7", None),
-    "numpy": ("https://numpy.org/doc/stable", None),
+    "python": ("https://docs.python.org/3.9/", None),
+    "numpy": ("https://numpy.org/doc/stable/", None),
     "scipy": ("https://docs.scipy.org/doc/scipy/", None),
     "astropy": ("https://docs.astropy.org/en/latest/", None),
-    "gammapy": ("https://docs.gammapy.org/0.18/", None),
+    "gammapy": ("https://docs.gammapy.org/1.1/", None),
 }
 
 # Add any paths that contain custom static files (such as style sheets) here,

docs/notebooks/fact_example.ipynb

@@ -20,7 +20,8 @@
    "source": [
     "import numpy as np\n",
     "import astropy.units as u\n",
-    "import matplotlib.pyplot as plt"
+    "import matplotlib.pyplot as plt\n",
+    "import subprocess as sp"
    ]
   },
   {
@@ -48,7 +49,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! curl -z gamma_test_dl3.hdf5 -fLO https://factdata.app.tu-dortmund.de/dl3/FACT-Tools/v1.1.2/gamma_test_dl3.hdf5"
+    "path = \"gamma_test_dl3.hdf5\"\n",
+    "url = f\"https://factdata.app.tu-dortmund.de/dl3/FACT-Tools/v1.1.2/{path}\"\n",
+    "ret = sp.run([\"curl\", \"-z\", path, \"-fsSLO\", url], stdout=sp.PIPE, stderr=sp.PIPE, encoding='utf-8')\n",
+    "if ret.returncode != 0:\n",
+    "    raise IOError(ret.stderr)"
    ]
   },
   {
@@ -111,11 +116,10 @@
    "source": [
     "### DL2 Event List\n",
     "\n",
-    "\n",
     "`pyirf` does not prescribe or use a specific DL2 *file* format.\n",
     "You need to read the data into an `astropy.table.QTable` following our conventions, detailed in the docs here: \n",
     "\n",
-    "https://cta-observatory.github.io/pyirf/introduction.html#dl2-event-lists\n",
+    "<https://cta-observatory.github.io/pyirf/introduction.html#dl2-event-lists>\n",
     "\n",
     "The FACT-Tools / aict-tools analysis chain uses a column-oriented hdf5 file written using h5py.  \n",
     "Unfortunately, units have to be known and are not in the metadata."
@@ -279,9 +283,7 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "norman-personal",
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# utility function to converet pyirf Quantities to the gammapy classes\n",
@@ -414,9 +416,7 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "heard-plate",
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from gammapy.irf import EnergyDispersion2D\n",
@@ -480,14 +480,6 @@
     "\n",
     "fits.HDUList(hdus).writeto('fact_irf.fits.gz', overwrite=True)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0d608e4c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -506,7 +498,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,

pyirf/interpolation/nearest_neighbor_searcher.py

@@ -40,9 +40,9 @@ def __init__(self, grid_points, values, norm_ord=2):
         TypeError:
             If norm_ord is not non-zero integer
 
-        Note
-        ----
-            Also calls pyirf.interpolation.BaseInterpolators.__init__
+        Notes
+        -----
+        Also calls pyirf.interpolation.BaseInterpolators.__init__
         """
         super().__init__(grid_points)
 
@@ -79,10 +79,10 @@ def interpolate(self, target_point):
         content_new: numpy.ndarray, shape=(1, ...)
             values at nearest neighbor
 
-        Note
-        ----
-            In case of multiple nearest neighbors, the values corresponding
-            to the first one are returned.
+        Notes
+        -----
+        In case of multiple nearest neighbors, the values corresponding
+        to the first one are returned.
         """
 
         if target_point.ndim == 1:
@@ -124,9 +124,9 @@ def __init__(self, grid_points, bin_edges, binned_pdf, norm_ord=2):
             passed to numpy.linalg.norm [1]. Defaults to 2,
             which uses the euclidean norm.
 
-        Note
-        ----
-            Also calls pyirf.interpolation.BaseNearestNeighborSearcher.__init__
+        Notes
+        -----
+        Also calls pyirf.interpolation.BaseNearestNeighborSearcher.__init__
         """
 
         super().__init__(grid_points=grid_points, values=binned_pdf, norm_ord=norm_ord)
@@ -159,9 +159,9 @@ def __init__(self, grid_points, params, norm_ord=2):
             passed to numpy.linalg.norm [1]. Defaults to 2,
             which uses the euclidean norm.
 
-        Note
+        Notes
         ----
-            Also calls pyirf.interpolation.BaseNearestNeighborSearcher.__init__
+        Also calls pyirf.interpolation.BaseNearestNeighborSearcher.__init__
         """
 
         super().__init__(grid_points=grid_points, values=params, norm_ord=norm_ord)