Organisation name change from tataratat to isosuite

.github/workflows/tests.yml

@@ -10,7 +10,7 @@ jobs:
         runs-on: ${{matrix.os}}
         strategy:
             matrix:
-                python-version: ["3.10", "3.11", "3.12", "3.13"]
+                python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
                 os: ["ubuntu-latest", "macos-latest"]
 
         steps:

README.md

@@ -3,7 +3,7 @@
 [![Read the docs](https://readthedocs.org/projects/releso/badge/?version=latest)](https://releso.readthedocs.io/en/latest/?badge=latest)
 [![PyPI - Version](https://img.shields.io/pypi/v/releso)](https://pypi.org/project/releso/)
 [![Python Versions](https://img.shields.io/pypi/pyversions/releso)](https://pypi.org/project/releso/)
-[![PyPI - License](https://img.shields.io/pypi/l/releso)](https://github.com/tataratat/releso/blob/main/LICENSE)
+[![PyPI - License](https://img.shields.io/pypi/l/releso)](https://github.com/isosuite/releso/blob/main/LICENSE)
 
 Releso is a Library/Framework for
 Reinforcement Learning based Shape Optimization. Please look into the
@@ -78,7 +78,7 @@ The packages can be installed via pip or conda with the following commands:
 
 If the spline-based shape optimization functionality is needed, the package
 ``splinepy`` is needed. Please visit
-[`splinepy` on github](https://github.com/tataratat/splinepy) for installation
+[`splinepy` on github](https://github.com/isosuite/splinepy) for installation
 instructions.
 
 **Development**

docs/source/index.rst

@@ -8,18 +8,14 @@ Reinforcement Learning based Shape Optimization (ReLeSO)
 |Build Status| |Documentation Status|
 |PyPI| |Python| |License|
 
-.. |Build Status| image:: https://github.com/tataratat/releso/actions/workflows/build_and_upload_wheels.yml/badge.svg
-   :target: https://github.com/tataratat/releso
+.. |Build Status| image:: https://github.com/isosuite/releso/actions/workflows/build_and_upload_wheels.yml/badge.svg
+   :target: https://github.com/isosuite/releso
    :alt: PyPI - Version
 
 .. |Documentation Status| image:: https://readthedocs.org/projects/releso/badge/?version=latest
     :target: https://releso.readthedocs.io/en/latest/?badge=latest
     :alt: Documentation Status
 
-.. .. |codecov| image:: https://codecov.io/gh/clemensfricke/ReLeSO/branch/master/graph/badge.svg
-..     :target: https://codecov.io/gh/clemensfricke/ReLeSO
-..     :alt: Code Coverage
-
 .. |PyPI| image:: https://img.shields.io/pypi/v/releso
     :target: https://pypi.org/project/releso/
     :alt: PyPI
@@ -29,7 +25,7 @@ Reinforcement Learning based Shape Optimization (ReLeSO)
     :alt: Python
 
 .. |License| image:: https://img.shields.io/pypi/l/releso
-    :target: https://github.com/tataratat/releso/blob/main/LICENSE
+    :target: https://github.com/isosuite/releso/blob/main/LICENSE
     :alt: PyPI - License
 
 **ReLeSO** stands for ``Reinforcement Learning based Shape Optimization`` and is a Python framework combining a spline-based shape optimization approach with reinforcement learning.

pyproject.toml

@@ -3,7 +3,7 @@ name = "releso"
 authors = [
     {name = "Clemens Fricke", email = "clemens.david.fricke@tuwien.ac.at"}
 ]
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 license-files = ["LICENSE"]
 license = "MIT"
 classifiers = [
@@ -12,16 +12,18 @@ classifiers = [
         "Programming Language :: Python :: 3.11",
         "Programming Language :: Python :: 3.12",
         "Programming Language :: Python :: 3.13",
-    #    "Programming Language :: Python :: 3.14",
+        "Programming Language :: Python :: 3.14",
         "Natural Language :: English",
         "Topic :: Scientific/Engineering",
 ]
 dependencies = [
     "pydantic<2",
-    "torch<2.8",
+    "torch>2.8",
     "stable-baselines3",
     "tensorboard",
     "hjson",
+    "pandas",
+    "numpy",
 ]
 dynamic = [
     "version"
@@ -32,10 +34,10 @@ file = "README.md"
 content-type = "text/markdown"
 
 [project.urls]
-homepage = "https://github.com/tataratat/releso"
+homepage = "https://github.com/isosuite/releso"
 documentation = "https://releso.readthedocs.io/en/latest/"
-issues = "https://github.com/tataratat/releso/issues"
-repository = "https://github.com/tataratat/releso.git"
+issues = "https://github.com/isosuite/releso/issues"
+repository = "https://github.com/isosuite/releso.git"
 
 [project.optional-dependencies]
 all = [

tests/conftest.py

@@ -189,7 +189,7 @@ def dir_save_location(clean_up_provider):
 @pytest.fixture
 def load_sample_file(request):
     file_name = request.param
-    base_url = "https://raw.githubusercontent.com/tataratat/samples/main/"
+    base_url = "https://raw.githubusercontent.com/isosuite/samples/main/"
     local_path = pathlib.Path(__file__).parent / "samples/"
     local_file = local_path / file_name
     local_file.parent.mkdir(parents=True, exist_ok=True)