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here is the log from the commit of package python-geomdl for openSUSE:Factory 
checked in at 2023-04-03 17:45:52
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-geomdl (Old)
 and      /work/SRC/openSUSE:Factory/.python-geomdl.new.9019 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-geomdl"

Mon Apr  3 17:45:52 2023 rev:4 rq:1076823 version:5.3.1

Changes:
--------
--- /work/SRC/openSUSE:Factory/python-geomdl/python-geomdl.changes      
2021-02-23 20:22:25.943763254 +0100
+++ /work/SRC/openSUSE:Factory/.python-geomdl.new.9019/python-geomdl.changes    
2023-04-03 17:45:52.639443608 +0200
@@ -1,0 +2,7 @@
+Mon Apr  3 05:59:40 UTC 2023 - Steve Kowalik <[email protected]>
+
+- Stop skipping Python 3.6.
+- Add patch support-numpy-124.patch:
+  * Support numpy >= 1.24 
+
+-------------------------------------------------------------------

New:
----
  support-numpy-124.patch

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ python-geomdl.spec ++++++
--- /var/tmp/diff_new_pack.t222je/_old  2023-04-03 17:45:53.351995303 +0200
+++ /var/tmp/diff_new_pack.t222je/_new  2023-04-03 17:45:53.355998403 +0200
@@ -1,7 +1,7 @@
 #
 # spec file for package python-geomdl
 #
-# Copyright (c) 2021 SUSE LLC
+# Copyright (c) 2023 SUSE LLC
 #
 # All modifications and additions to the file contributed by third parties
 # remain the property of their copyright owners, unless otherwise agreed
@@ -18,8 +18,6 @@
 
 %define archivename NURBS-Python
 %define packagename geomdl
-%define skip_python36 1
-%{?!python_module:%define python_module() python-%{**} python3-%{**}}
 Name:           python-geomdl
 Version:        5.3.1
 Release:        0
@@ -27,6 +25,8 @@
 License:        MIT
 URL:            https://github.com/orbingol/NURBS-Python
 Source:         
https://github.com/orbingol/NURBS-Python/archive/v%{version}.tar.gz#/%{archivename}-%{version}.tar.gz
+# PATCH-FIX-UPSTREAM gh#orbingol/NURBS-Python#163
+Patch0:         support-numpy-124.patch
 BuildRequires:  %{python_module matplotlib >= 2.2.3}
 BuildRequires:  %{python_module numpy >= 1.15.4}
 BuildRequires:  %{python_module plotly}
@@ -45,7 +45,7 @@
 B-Spline and NURBS spline library.
 
 %prep
-%setup -q -n %{archivename}-%{version}
+%autosetup -p1 -n %{archivename}-%{version}
 
 %build
 %python_build

++++++ support-numpy-124.patch ++++++
>From 71923eeb8e8ec8e057b253a744c89d7dfa1cf89d Mon Sep 17 00:00:00 2001
From: "Benjamin A. Beasley" <[email protected]>
Date: Sat, 4 Mar 2023 13:37:41 -0500
Subject: [PATCH] Stop using deprecated/removed np.float/np.int

See: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
---
 geomdl/visualization/VisMPL.py    |  2 +-
 geomdl/visualization/VisPlotly.py |  2 +-
 geomdl/visualization/VisVTK.py    | 26 +++++++++++++-------------
 3 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/geomdl/visualization/VisMPL.py b/geomdl/visualization/VisMPL.py
index a23dbba7..2dba037c 100644
--- a/geomdl/visualization/VisMPL.py
+++ b/geomdl/visualization/VisMPL.py
@@ -68,7 +68,7 @@ class VisConfig(vis.VisConfigAbstract):
 
     def __init__(self, **kwargs):
         super(VisConfig, self).__init__(**kwargs)
-        self.dtype = np.float
+        self.dtype = np.float64
         self.display_ctrlpts = kwargs.get('ctrlpts', True)
         self.display_evalpts = kwargs.get('evalpts', True)
         self.display_bbox = kwargs.get('bbox', False)
diff --git a/geomdl/visualization/VisPlotly.py 
b/geomdl/visualization/VisPlotly.py
index 8dfce642..c5073410 100644
--- a/geomdl/visualization/VisPlotly.py
+++ b/geomdl/visualization/VisPlotly.py
@@ -58,7 +58,7 @@ class VisConfig(vis.VisConfigAbstract):
     """
     def __init__(self, **kwargs):
         super(VisConfig, self).__init__(**kwargs)
-        self.dtype = np.float
+        self.dtype = np.float64
         # Set Plotly custom variables
         self.figure_image_filename = "temp-plot.html"
         self.use_renderer = kwargs.get("use_renderer", False)
diff --git a/geomdl/visualization/VisVTK.py b/geomdl/visualization/VisVTK.py
index 9d75ec99..ae44163d 100644
--- a/geomdl/visualization/VisVTK.py
+++ b/geomdl/visualization/VisVTK.py
@@ -132,10 +132,10 @@ def render(self, **kwargs):
             # Plot control points
             if plot['type'] == 'ctrlpts' and self.vconf.display_ctrlpts:
                 # Points as spheres
-                pts = np.array(plot['ptsarr'], dtype=np.float)
+                pts = np.array(plot['ptsarr'], dtype=np.float64)
                 # Handle 2-dimensional data
                 if pts.shape[1] == 2:
-                    pts = np.c_[pts, np.zeros(pts.shape[0], dtype=np.float)]
+                    pts = np.c_[pts, np.zeros(pts.shape[0], dtype=np.float64)]
                 vtkpts = numpy_to_vtk(pts, deep=False, array_type=VTK_FLOAT)
                 vtkpts.SetName(plot['name'])
                 actor1 = vtkh.create_actor_pts(pts=vtkpts, 
color=vtkh.create_color(plot['color']),
@@ -148,10 +148,10 @@ def render(self, **kwargs):
 
             # Plot evaluated points
             if plot['type'] == 'evalpts' and self.vconf.display_evalpts:
-                pts = np.array(plot['ptsarr'], dtype=np.float)
+                pts = np.array(plot['ptsarr'], dtype=np.float64)
                 # Handle 2-dimensional data
                 if pts.shape[1] == 2:
-                    pts = np.c_[pts, np.zeros(pts.shape[0], dtype=np.float)]
+                    pts = np.c_[pts, np.zeros(pts.shape[0], dtype=np.float64)]
                 vtkpts = numpy_to_vtk(pts, deep=False, array_type=VTK_FLOAT)
                 vtkpts.SetName(plot['name'])
                 actor1 = vtkh.create_actor_polygon(pts=vtkpts, 
color=vtkh.create_color(plot['color']),
@@ -200,14 +200,14 @@ def render(self, **kwargs):
                 vertices = [v.data for v in plot['ptsarr'][0]]
                 faces = [q.data for q in plot['ptsarr'][1]]
                 # Points as spheres
-                pts = np.array(vertices, dtype=np.float)
+                pts = np.array(vertices, dtype=np.float64)
                 vtkpts = numpy_to_vtk(pts, deep=False, array_type=VTK_FLOAT)
                 vtkpts.SetName(plot['name'])
                 actor1 = vtkh.create_actor_pts(pts=vtkpts, 
color=vtkh.create_color(plot['color']),
                                                name=plot['name'], 
index=plot['idx'])
                 vtk_actors.append(actor1)
                 # Quad mesh
-                lines = np.array(faces, dtype=np.int)
+                lines = np.array(faces, dtype=int)
                 actor2 = vtkh.create_actor_mesh(pts=vtkpts, lines=lines, 
color=vtkh.create_color(plot['color']),
                                                 name=plot['name'], 
index=plot['idx'], size=self.vconf.line_width)
                 vtk_actors.append(actor2)
@@ -218,7 +218,7 @@ def render(self, **kwargs):
                 vtkpts = numpy_to_vtk(vertices, deep=False, 
array_type=VTK_FLOAT)
                 vtkpts.SetName(plot['name'])
                 faces = [t.data for t in plot['ptsarr'][1]]
-                tris = np.array(faces, dtype=np.int)
+                tris = np.array(faces, dtype=int)
                 actor1 = vtkh.create_actor_tri(pts=vtkpts, tris=tris, 
color=vtkh.create_color(plot['color']),
                                                name=plot['name'], 
index=plot['idx'])
                 vtk_actors.append(actor1)
@@ -226,7 +226,7 @@ def render(self, **kwargs):
             # Plot trim curves
             if self.vconf.display_trims:
                 if plot['type'] == 'trimcurve':
-                    pts = np.array(plot['ptsarr'], dtype=np.float)
+                    pts = np.array(plot['ptsarr'], dtype=np.float64)
                     vtkpts = numpy_to_vtk(pts, deep=False, 
array_type=VTK_FLOAT)
                     vtkpts.SetName(plot['name'])
                     actor1 = vtkh.create_actor_polygon(pts=vtkpts, 
color=vtkh.create_color(plot['color']),
@@ -269,7 +269,7 @@ def render(self, **kwargs):
             # Plot control points
             if plot['type'] == 'ctrlpts' and self.vconf.display_ctrlpts:
                 # Points as spheres
-                pts = np.array(plot['ptsarr'], dtype=np.float)
+                pts = np.array(plot['ptsarr'], dtype=np.float64)
                 vtkpts = numpy_to_vtk(pts, deep=False, array_type=VTK_FLOAT)
                 vtkpts.SetName(plot['name'])
                 temp_actor = vtkh.create_actor_pts(pts=vtkpts, 
color=vtkh.create_color(plot['color']),
@@ -278,7 +278,7 @@ def render(self, **kwargs):
 
             # Plot evaluated points
             if plot['type'] == 'evalpts' and self.vconf.display_evalpts:
-                pts = np.array(plot['ptsarr'], dtype=np.float)
+                pts = np.array(plot['ptsarr'], dtype=np.float64)
                 vtkpts = numpy_to_vtk(pts, deep=False, array_type=VTK_FLOAT)
                 vtkpts.SetName(plot['name'])
                 temp_actor = vtkh.create_actor_pts(pts=vtkpts, 
color=vtkh.create_color(plot['color']),
@@ -321,7 +321,7 @@ def render(self, **kwargs):
             # Plot control points
             if plot['type'] == 'ctrlpts' and self.vconf.display_ctrlpts:
                 # Points as spheres
-                pts = np.array(plot['ptsarr'], dtype=np.float)
+                pts = np.array(plot['ptsarr'], dtype=np.float64)
                 vtkpts = numpy_to_vtk(pts, deep=False, array_type=VTK_FLOAT)
                 vtkpts.SetName(plot['name'])
                 temp_actor = vtkh.create_actor_pts(pts=vtkpts, 
color=vtkh.create_color(plot['color']),
@@ -330,8 +330,8 @@ def render(self, **kwargs):
 
             # Plot evaluated points
             if plot['type'] == 'evalpts' and self.vconf.display_evalpts:
-                faces = np.array(plot['ptsarr'][1], dtype=np.float)
-                filled = np.array(plot['ptsarr'][2], dtype=np.int)
+                faces = np.array(plot['ptsarr'][1], dtype=np.float64)
+                filled = np.array(plot['ptsarr'][2], dtype=int)
                 grid_filled = faces[filled == 1]
                 temp_actor = vtkh.create_actor_hexahedron(grid=grid_filled, 
color=vtkh.create_color(plot['color']),
                                                           name=plot['name'], 
index=plot['idx'])

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