Disallow cuda-python 12.6.1 and 11.8.4

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

@@ -19,7 +19,7 @@ dependencies:
 - cramjam
 - cubinlinker
 - cuda-nvtx=11.8
-- cuda-python>=11.7.1,<12.0a0
+- cuda-python>=11.7.1,<12.0a0,!=11.8.4
 - cuda-sanitizer-api=11.8.86
 - cuda-version=11.8
 - cudatoolkit

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

@@ -21,7 +21,7 @@ dependencies:
 - cuda-nvcc
 - cuda-nvrtc-dev
 - cuda-nvtx-dev
-- cuda-python>=12.0,<13.0a0
+- cuda-python>=12.0,<13.0a0,!=12.6.1
 - cuda-sanitizer-api
 - cuda-version=12.5
 - cupy>=12.0.0

conda/recipes/cudf/meta.yaml

@@ -91,7 +91,7 @@ requirements:
     - cudatoolkit
     - ptxcompiler >=0.7.0
     - cubinlinker  # CUDA enhanced compatibility.
-    - cuda-python >=11.7.1,<12.0a0
+    - cuda-python >=11.7.1,<12.0a0,!=11.8.4
     {% else %}
     - cuda-cudart
     - libcufile  # [linux64]
@@ -100,7 +100,7 @@ requirements:
     # TODO: Add nvjitlink here
     # xref: https://github.com/rapidsai/cudf/issues/12822
     - cuda-nvrtc
-    - cuda-python >=12.0,<13.0a0
+    - cuda-python >=12.0,<13.0a0,!=12.6.1
     - pynvjitlink
     {% endif %}
     - {{ pin_compatible('cuda-version', max_pin='x', min_pin='x') }}

conda/recipes/pylibcudf/meta.yaml

@@ -83,9 +83,9 @@ requirements:
     - {{ pin_compatible('rmm', max_pin='x.x') }}
     - fsspec >=0.6.0
     {% if cuda_major == "11" %}
-    - cuda-python >=11.7.1,<12.0a0
+    - cuda-python >=11.7.1,<12.0a0,!=11.8.4
     {% else %}
-    - cuda-python >=12.0,<13.0a0
+    - cuda-python >=12.0,<13.0a0,!=12.6.1
     {% endif %}
     - nvtx >=0.2.1
     - packaging

dependencies.yaml

@@ -658,10 +658,10 @@ dependencies:
         matrices:
           - matrix: {cuda: "12.*"}
             packages:
-              - cuda-python>=12.0,<13.0a0
+              - cuda-python>=12.0,<13.0a0,!=12.6.1
           - matrix: {cuda: "11.*"}
             packages: &run_pylibcudf_packages_all_cu11
-              - cuda-python>=11.7.1,<12.0a0
+              - cuda-python>=11.7.1,<12.0a0,!=11.8.4
           - {matrix: null, packages: *run_pylibcudf_packages_all_cu11}
   run_cudf:
     common:
@@ -684,10 +684,10 @@ dependencies:
         matrices:
           - matrix: {cuda: "12.*"}
             packages:
-              - cuda-python>=12.0,<13.0a0
+              - cuda-python>=12.0,<13.0a0,!=12.6.1
           - matrix: {cuda: "11.*"}
             packages: &run_cudf_packages_all_cu11
-              - cuda-python>=11.7.1,<12.0a0
+              - cuda-python>=11.7.1,<12.0a0,!=11.8.4
           - {matrix: null, packages: *run_cudf_packages_all_cu11}
       - output_types: conda
         matrices:

python/cudf/pyproject.toml

@@ -20,7 +20,7 @@ requires-python = ">=3.10"
 dependencies = [
     "cachetools",
     "cubinlinker",
-    "cuda-python>=11.7.1,<12.0a0",
+    "cuda-python>=11.7.1,<12.0a0,!=11.8.4",
     "cupy-cuda11x>=12.0.0",
     "fsspec>=0.6.0",
     "libcudf==24.12.*,>=0.0.0a0",
@@ -90,6 +90,8 @@ filterwarnings = [
     "error",
     "ignore:::.*xdist.*",
     "ignore:::.*pytest.*",
+    # https://github.com/rapidsai/build-planning/issues/116
+    "ignore:.*cuda..* module is deprecated.*:DeprecationWarning",
     # some third-party dependencies (e.g. 'boto3') still using datetime.datetime.utcnow()
     "ignore:.*datetime.*utcnow.*scheduled for removal.*:DeprecationWarning:botocore",
     # Deprecation warning from Pyarrow Table.to_pandas() with pandas-2.2+

python/cudf_kafka/pyproject.toml

@@ -51,7 +51,9 @@ rapids = ["rmm", "cudf", "dask_cudf"]
 addopts = "--tb=native --strict-config --strict-markers"
 empty_parameter_set_mark = "fail_at_collect"
 filterwarnings = [
-  "error"
+  "error",
+  # https://github.com/rapidsai/build-planning/issues/116
+  "ignore:.*cuda..* module is deprecated.*:DeprecationWarning",
 ]
 xfail_strict = true
 

python/cudf_polars/pyproject.toml

@@ -53,7 +53,9 @@ version = {file = "cudf_polars/VERSION"}
 addopts = "--tb=native --strict-config --strict-markers"
 empty_parameter_set_mark = "fail_at_collect"
 filterwarnings = [
-  "error"
+  "error",
+  # https://github.com/rapidsai/build-planning/issues/116
+  "ignore:.*cuda..* module is deprecated.*:DeprecationWarning",
 ]
 xfail_strict = true
 

python/custreamz/pyproject.toml

@@ -85,6 +85,8 @@ addopts = "--tb=native --strict-config --strict-markers"
 empty_parameter_set_mark = "fail_at_collect"
 filterwarnings = [
     "error",
+    # https://github.com/rapidsai/build-planning/issues/116
+    "ignore:.*cuda..* module is deprecated.*:DeprecationWarning",
     "ignore:unclosed <socket.socket:ResourceWarning",
     "ignore:Port .* is already in use.:UserWarning:distributed",
     # Should be fixed in the next streamz release

python/dask_cudf/pyproject.toml

@@ -87,6 +87,8 @@ empty_parameter_set_mark = "fail_at_collect"
 filterwarnings = [
     "error::FutureWarning",
     "error::DeprecationWarning",
+    # https://github.com/rapidsai/build-planning/issues/116
+    "ignore:.*cuda..* module is deprecated.*:DeprecationWarning",
     # some third-party dependencies (e.g. 'boto3') still using datetime.datetime.utcnow()
     "ignore:.*datetime.*utcnow.*scheduled for removal:DeprecationWarning:botocore",
     "ignore:create_block_manager_from_blocks is deprecated and will be removed in a future version. Use public APIs instead.:DeprecationWarning",

python/pylibcudf/pyproject.toml

@@ -18,7 +18,7 @@ authors = [
 license = { text = "Apache 2.0" }
 requires-python = ">=3.10"
 dependencies = [
-    "cuda-python>=11.7.1,<12.0a0",
+    "cuda-python>=11.7.1,<12.0a0,!=11.8.4",
     "libcudf==24.12.*,>=0.0.0a0",
     "nvtx>=0.2.1",
     "packaging",
@@ -74,6 +74,8 @@ addopts = "--tb=native --strict-config --strict-markers --import-mode=importlib"
 empty_parameter_set_mark = "fail_at_collect"
 filterwarnings = [
   "error",
+  # https://github.com/rapidsai/build-planning/issues/116
+  "ignore:.*cuda..* module is deprecated.*:DeprecationWarning",
   "ignore:::.*xdist.*",
   "ignore:::.*pytest.*"
 ]