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- Stop skipping Python 3.6.

Browse Source 
- Add patch support-numpy-124.patch:
  * Support numpy >= 1.24

OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-geomdl?expand=0&rev=7
This commit is contained in:
Steve Kowalik 2023-04-03 06:00:13 +00:00 committed by Git OBS Bridge
parent 615f8ea65c
commit 99702c372a
3 changed files with 152 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
python-geomdl.changes
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@ -1,3 +1,10 @@
-------------------------------------------------------------------
Mon Apr 3 05:59:40 UTC 2023 - Steve Kowalik <steven.kowalik@suse.com>
- Stop skipping Python 3.6.
- Add patch support-numpy-124.patch:
* Support numpy >= 1.24
-------------------------------------------------------------------
Sun Feb 21 18:19:09 UTC 2021 - andy great <andythe_great@pm.me>

8
python-geomdl.spec
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@ -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 @@ Summary: Object-oriented B-Spline and NURBS evaluation library
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 @@ NURBS-Python (geomdl) is a pure Python, self-contained, object-oriented
B-Spline and NURBS spline library.
%prep
%setup -q -n %{archivename}-%{version}
%autosetup -p1 -n %{archivename}-%{version}
%build
%python_build

141
support-numpy-124.patch Normal file
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@ -0,0 +1,141 @@
From 71923eeb8e8ec8e057b253a744c89d7dfa1cf89d Mon Sep 17 00:00:00 2001
From: "Benjamin A. Beasley" <code@musicinmybrain.net>
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'])