Description: debianization: documentation: freeze: gallery example: plot_iplotx
 This patch freeze the gallery example doc/examples_sphinx-gallery/plot_iplotx
 as the python3 module iplotx is not supported by Debian at the time of
 packaging. This is a temporary patch that must be removed once the
 aforementioned module is supported.
Origin: vendor, Debian
Forwarded: not-needed
Author: Jerome Benoit <calculus@rezozer.net>
Last-Update: 2025-10-25

--- a/doc/examples_sphinx-gallery/plot_iplotx.py
+++ /dev/null
@@ -1,63 +0,0 @@
-"""
-.. _tutorials-iplotx:
-
-==============================
-Visualising graphs with iplotx
-==============================
-``iplotx`` (https://iplotx.readthedocs.io) is a library for visualisation of graphs/networks
-with direct compatibility with both igraph and NetworkX. It uses ``matplotlib`` behind the
-scenes so the results are compatible with the current igraph matplotlib backend and many
-additional chart types (e.g. bar charts, annotations).
-
-Compared to the standard visualisations shipped with igraph, ``iplotx`` offers:
-
-- More styling options
-- More consistent behaviour across DPI resolutions and backends
-- More consistent matplotlib artists for plot editing and animation
-
-"""
-
-import igraph as ig
-import iplotx as ipx
-
-# Construct a graph with 5 vertices
-n_vertices = 5
-edges = [(0, 1), (0, 2), (0, 3), (0, 4), (1, 2), (1, 3), (1, 4), (3, 4)]
-g = ig.Graph(n_vertices, edges)
-
-# Set attributes for the graph, nodes, and edges
-g["title"] = "Small Social Network"
-g.vs["name"] = [
-    "Daniel Morillas",
-    "Kathy Archer",
-    "Kyle Ding",
-    "Joshua Walton",
-    "Jana Hoyer",
-]
-g.vs["gender"] = ["M", "F", "F", "M", "F"]
-g.es["married"] = [False, False, False, False, False, False, False, True]
-
-# Set individual attributes
-g.vs[1]["name"] = "Kathy Morillas"
-g.es[0]["married"] = True
-
-# Plot using iplotx
-ipx.network(
-    g,
-    layout="circle",  # print nodes in a circular layout
-    vertex_marker="s",
-    vertex_size=45,
-    vertex_linewidth=2,
-    vertex_facecolor=[
-        "lightblue" if gender == "M" else "deeppink" for gender in g.vs["gender"]
-    ],
-    vertex_label_color=[
-        "black" if gender == "M" else "white" for gender in g.vs["gender"]
-    ],
-    vertex_edgecolor="black",
-    vertex_labels=[name.replace(" ", "\n") for name in g.vs["name"]],
-    edge_linewidth=[2 if married else 1 for married in g.es["married"]],
-    edge_color=["#7142cf" if married else "#AAA" for married in g.es["married"]],
-    edge_padding=3,
-    aspect=1.0,
-)
--- /dev/null
+++ b/doc/examples_sphinx-gallery/plot_iplotx.py.upkg
@@ -0,0 +1,63 @@
+"""
+.. _tutorials-iplotx:
+
+==============================
+Visualising graphs with iplotx
+==============================
+``iplotx`` (https://iplotx.readthedocs.io) is a library for visualisation of graphs/networks
+with direct compatibility with both igraph and NetworkX. It uses ``matplotlib`` behind the
+scenes so the results are compatible with the current igraph matplotlib backend and many
+additional chart types (e.g. bar charts, annotations).
+
+Compared to the standard visualisations shipped with igraph, ``iplotx`` offers:
+
+- More styling options
+- More consistent behaviour across DPI resolutions and backends
+- More consistent matplotlib artists for plot editing and animation
+
+"""
+
+import igraph as ig
+import iplotx as ipx
+
+# Construct a graph with 5 vertices
+n_vertices = 5
+edges = [(0, 1), (0, 2), (0, 3), (0, 4), (1, 2), (1, 3), (1, 4), (3, 4)]
+g = ig.Graph(n_vertices, edges)
+
+# Set attributes for the graph, nodes, and edges
+g["title"] = "Small Social Network"
+g.vs["name"] = [
+    "Daniel Morillas",
+    "Kathy Archer",
+    "Kyle Ding",
+    "Joshua Walton",
+    "Jana Hoyer",
+]
+g.vs["gender"] = ["M", "F", "F", "M", "F"]
+g.es["married"] = [False, False, False, False, False, False, False, True]
+
+# Set individual attributes
+g.vs[1]["name"] = "Kathy Morillas"
+g.es[0]["married"] = True
+
+# Plot using iplotx
+ipx.network(
+    g,
+    layout="circle",  # print nodes in a circular layout
+    vertex_marker="s",
+    vertex_size=45,
+    vertex_linewidth=2,
+    vertex_facecolor=[
+        "lightblue" if gender == "M" else "deeppink" for gender in g.vs["gender"]
+    ],
+    vertex_label_color=[
+        "black" if gender == "M" else "white" for gender in g.vs["gender"]
+    ],
+    vertex_edgecolor="black",
+    vertex_labels=[name.replace(" ", "\n") for name in g.vs["name"]],
+    edge_linewidth=[2 if married else 1 for married in g.es["married"]],
+    edge_color=["#7142cf" if married else "#AAA" for married in g.es["married"]],
+    edge_padding=3,
+    aspect=1.0,
+)