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sage: replace ipywidgets workaround by update patches

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This commit is contained in:
Mauricio Collares 2023-04-13 18:05:04 +02:00
parent e9944eaecc
commit 058dc0f6df
2 changed files with 14 additions and 16 deletions
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13
pkgs/applications/science/math/sage/patches/ipywidgets-on_submit-deprecationwarning.patch
View file

@ -1,13 +0,0 @@
diff --git a/src/sage/interacts/library.py b/src/sage/interacts/library.py
index 06d680109a..139b00bfd1 100644
--- a/src/sage/interacts/library.py
+++ b/src/sage/interacts/library.py
@@ -1434,6 +1434,8 @@ def riemann_sum(
creates the mathlet::
sage: interacts.calculus.riemann_sum()
+ ...
+ DeprecationWarning: on_submit is deprecated. Instead, set the .continuous_update attribute to False and observe the value changing with: mywidget.observe(callback, 'value').
Manual interactive function <function riemann_sum at ...> with 9 widgets
title: HTMLText(value='<h2>Riemann integral with random sampling</h2>')
f: EvalText(value='x^2+1', description='$f(x)=$', layout=Layout(max_width='41em'))

17
pkgs/applications/science/math/sage/sage-src.nix
View file

@ -141,12 +141,23 @@ stdenv.mkDerivation rec {
sha256 = "sha256-YdPnMsjXBm9ZRm6a8hH8rSynkrABjLoIzqwp3F/rKAw=";
})
# https://github.com/sagemath/sage/pull/35336, merged in 10.0.beta8
(fetchpatch {
name = "ipywidgets-8.0.5-upgrade.patch";
url = "https://github.com/sagemath/sage/commit/7ab3e3aa81d47a35d09161b965bba8ab16fd5c9e.diff";
sha256 = "sha256-WjdsPTui6uv92RerlV0mqltmLaxADvz+3aqSvxBFmfU=";
})
# https://github.com/sagemath/sage/pull/35499
(fetchpatch {
name = "ipywidgets-8.0.5-upgrade-part-deux.patch";
url = "https://github.com/sagemath/sage/pull/35499.diff";
sha256 = "sha256-uNCjLs9qrARTQNsq1+kTdvuV2A1M4xx5b1gWh5c55X0=";
})
# rebased from https://github.com/sagemath/sage/pull/34994, merged in sage 10.0.beta2
./patches/numpy-1.24-upgrade.patch
# temporarily paper over https://github.com/jupyter-widgets/ipywidgets/issues/3669
./patches/ipywidgets-on_submit-deprecationwarning.patch
# Sage uses mixed integer programs (MIPs) to find edge disjoint
# spanning trees. For some reason, aarch64 glpk takes much longer
# than x86_64 glpk to solve such MIPs. Since the MIP formulation