Add upper bound to prevent usage of numba 0.61.0 (#6244)

Numba 0.61.0 just got released with a couple of breaking changes, this pr is required to unblock the ci.


xref: rapidsai/cudf#17777

Authors:
  - GALI PREM SAGAR (https://github.com/galipremsagar)
  - Dante Gama Dessavre (https://github.com/dantegd)

Approvers:
  - Dante Gama Dessavre (https://github.com/dantegd)
  - Ray Douglass (https://github.com/raydouglass)
  - Bradley Dice (https://github.com/bdice)

URL: #6244

conda/environments/all_cuda-118_arch-x86_64.yaml

@@ -47,7 +47,7 @@ dependencies:
 - nbsphinx
 - ninja
 - nltk
-- numba>=0.57
+- numba>=0.59.1,<0.61.0a0
 - numpy>=1.23,<3.0a0
 - numpydoc
 - nvcc_linux-64=11.8

conda/environments/all_cuda-125_arch-x86_64.yaml

@@ -44,7 +44,7 @@ dependencies:
 - nbsphinx
 - ninja
 - nltk
-- numba>=0.57
+- numba>=0.59.1,<0.61.0a0
 - numpy>=1.23,<3.0a0
 - numpydoc
 - packaging

dependencies.yaml

@@ -234,7 +234,7 @@ dependencies:
         packages:
           - dask-cuda==25.2.*,>=0.0.0a0
           - joblib>=0.11
-          - numba>=0.57
+          - numba>=0.59.1,<0.61.0a0
           - numpy>=1.23,<3.0a0
             # TODO: Is scipy really a hard dependency, or should
             # we make it optional (i.e. an extra for pip

python/cuml/cuml/tests/dask/test_dask_logistic_regression.py

@@ -34,7 +34,12 @@
 dask_cudf = gpu_only_import("dask_cudf")
 cudf = gpu_only_import("cudf")
 
-pytestmark = pytest.mark.mg
+pytestmark = [
+    pytest.mark.mg,
+    pytest.mark.skip(
+        reason="pytest hang https://github.com/rapidsai/cuml/issues/6247"
+    ),
+]
 
 
 def _prep_training_data(c, X_train, y_train, partitions_per_worker):

python/cuml/pyproject.toml

@@ -99,7 +99,7 @@ dependencies = [
     "dask-cuda==25.2.*,>=0.0.0a0",
     "dask-cudf==25.2.*,>=0.0.0a0",
     "joblib>=0.11",
-    "numba>=0.57",
+    "numba>=0.59.1,<0.61.0a0",
     "numpy>=1.23,<3.0a0",
     "nvidia-cublas",
     "nvidia-cufft",