limit sklearn (#512)

* limit sklearn

* fix CI

* fix cuda issue

Author: Intron7

hatch.toml

@@ -39,6 +39,17 @@ overrides.matrix.deps.extra-dependencies = [
     { if = [
         "dev",
     ], value = "scanpy @ git+https://github.com/scverse/scanpy.git" },
+    # CUDA 13 → cu13 wheels pinned < 26.02
+    { if = [ "13" ], value = "cuml-cu13<26.02" },
+    { if = [ "13" ], value = "cudf-cu13<26.02" },
+    { if = [ "13" ], value = "cugraph-cu13<26.02" },
+    { if = [ "13" ], value = "cuvs-cu13<26.02" },
+
+    # CUDA 12 → cu12 wheels pinned < 26.02
+    { if = [ "12" ], value = "cuml-cu12<26.02" },
+    { if = [ "12" ], value = "cudf-cu12<26.02" },
+    { if = [ "12" ], value = "cugraph-cu12<26.02" },
+    { if = [ "12" ], value = "cuvs-cu12<26.02" },
 ]
 
 ## For prerelease we rely on UV_PRERELEASE + nightly index; features select cu12/cu13

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 [project]
 name = "rapids_singlecell"
 description = "running single cell analysis on Nvidia GPUs"
-requires-python = ">=3.11, <3.14"
+requires-python = ">=3.12, <3.14"
 license = { file = "LICENSE" }
 authors = [ { name = "Severin Dicks" } ]
 readme = { file = "README.md", content-type = "text/markdown" }
@@ -19,6 +19,7 @@ dependencies = [
     "pandas",
     "natsort",
     "scikit-misc>=0.1.3",
+    "scikit-learn<1.8.0",
     "matplotlib>=3.4",
     "tqdm",
     "statsmodels>=0.12.0",