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Merge branch 'branch-25.02' into polynomials-benchmarks
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lamarrr authored Jan 13, 2025
2 parents bb2abb9 + 478ec50 commit 9ebe20b
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Showing 112 changed files with 2,505 additions and 1,984 deletions.
2 changes: 1 addition & 1 deletion .github/workflows/build.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -62,7 +62,7 @@ jobs:
arch: "amd64"
branch: ${{ inputs.branch }}
build_type: ${{ inputs.build_type || 'branch' }}
container_image: "rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.11"
container_image: "rapidsai/ci-conda:latest"
date: ${{ inputs.date }}
node_type: "gpu-v100-latest-1"
run_script: "ci/build_docs.sh"
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6 changes: 3 additions & 3 deletions .github/workflows/pr.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -186,7 +186,7 @@ jobs:
build_type: pull-request
node_type: "gpu-v100-latest-1"
arch: "amd64"
container_image: "rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.11"
container_image: "rapidsai/ci-conda:latest"
run_script: "ci/test_java.sh"
static-configure:
needs: checks
Expand All @@ -207,7 +207,7 @@ jobs:
build_type: pull-request
node_type: "gpu-v100-latest-1"
arch: "amd64"
container_image: "rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.11"
container_image: "rapidsai/ci-conda:latest"
run_script: "ci/test_notebooks.sh"
docs-build:
needs: conda-python-build
Expand All @@ -217,7 +217,7 @@ jobs:
build_type: pull-request
node_type: "gpu-v100-latest-1"
arch: "amd64"
container_image: "rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.11"
container_image: "rapidsai/ci-conda:latest"
run_script: "ci/build_docs.sh"
wheel-build-libcudf:
needs: checks
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6 changes: 3 additions & 3 deletions .github/workflows/test.yaml
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Expand Up @@ -41,7 +41,7 @@ jobs:
sha: ${{ inputs.sha }}
node_type: "gpu-v100-latest-1"
arch: "amd64"
container_image: "rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.11"
container_image: "rapidsai/ci-conda:latest"
run_script: "ci/test_cpp_memcheck.sh"
static-configure:
secrets: inherit
Expand Down Expand Up @@ -94,7 +94,7 @@ jobs:
sha: ${{ inputs.sha }}
node_type: "gpu-v100-latest-1"
arch: "amd64"
container_image: "rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.11"
container_image: "rapidsai/ci-conda:latest"
run_script: "ci/test_java.sh"
conda-notebook-tests:
secrets: inherit
Expand All @@ -106,7 +106,7 @@ jobs:
sha: ${{ inputs.sha }}
node_type: "gpu-v100-latest-1"
arch: "amd64"
container_image: "rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.11"
container_image: "rapidsai/ci-conda:latest"
run_script: "ci/test_notebooks.sh"
wheel-tests-cudf:
secrets: inherit
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4 changes: 2 additions & 2 deletions conda/environments/all_cuda-118_arch-x86_64.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,7 @@ dependencies:
- nbsphinx
- ninja
- notebook
- numba-cuda>=0.0.13,<0.0.18
- numba-cuda>=0.2.0,<0.3.0
- numpy>=1.23,<3.0a0
- numpydoc
- nvcc_linux-64=11.8
Expand All @@ -66,7 +66,7 @@ dependencies:
- pandas
- pandas>=2.0,<2.2.4dev0
- pandoc
- polars>=1.11,<1.15
- polars>=1.11,<1.18
- pre-commit
- ptxcompiler
- pyarrow>=14.0.0,<19.0.0a0
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4 changes: 2 additions & 2 deletions conda/environments/all_cuda-125_arch-x86_64.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ dependencies:
- nbsphinx
- ninja
- notebook
- numba-cuda>=0.0.13,<0.0.18
- numba-cuda>=0.2.0,<0.3.0
- numpy>=1.23,<3.0a0
- numpydoc
- nvcomp==4.1.0.6
Expand All @@ -64,7 +64,7 @@ dependencies:
- pandas
- pandas>=2.0,<2.2.4dev0
- pandoc
- polars>=1.11,<1.15
- polars>=1.11,<1.18
- pre-commit
- pyarrow>=14.0.0,<19.0.0a0
- pydata-sphinx-theme!=0.14.2
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4 changes: 2 additions & 2 deletions conda/recipes/cudf-polars/meta.yaml
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# Copyright (c) 2024, NVIDIA CORPORATION.
# Copyright (c) 2024-2025, NVIDIA CORPORATION.

{% set version = environ['RAPIDS_PACKAGE_VERSION'].lstrip('v') %}
{% set minor_version = version.split('.')[0] + '.' + version.split('.')[1] %}
Expand Down Expand Up @@ -43,7 +43,7 @@ requirements:
run:
- python
- pylibcudf ={{ version }}
- polars >=1.11,<1.15
- polars >=1.11,<1.18
- {{ pin_compatible('cuda-version', max_pin='x', min_pin='x') }}

test:
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4 changes: 2 additions & 2 deletions conda/recipes/cudf/meta.yaml
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# Copyright (c) 2018-2024, NVIDIA CORPORATION.
# Copyright (c) 2018-2025, NVIDIA CORPORATION.

{% set version = environ['RAPIDS_PACKAGE_VERSION'].lstrip('v') %}
{% set minor_version = version.split('.')[0] + '.' + version.split('.')[1] %}
Expand Down Expand Up @@ -80,7 +80,7 @@ requirements:
- typing_extensions >=4.0.0
- pandas >=2.0,<2.2.4dev0
- cupy >=12.0.0
- numba-cuda >=0.0.13,<0.0.18
- numba-cuda >=0.2.0,<0.3.0
- numpy >=1.23,<3.0a0
- pyarrow>=14.0.0,<18.0.0a0
- libcudf ={{ version }}
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3 changes: 2 additions & 1 deletion cpp/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -336,6 +336,7 @@ add_library(
src/aggregation/result_cache.cpp
src/ast/expression_parser.cpp
src/ast/expressions.cpp
src/ast/operators.cpp
src/binaryop/binaryop.cpp
src/binaryop/compiled/ATan2.cu
src/binaryop/compiled/Add.cu
Expand Down Expand Up @@ -477,13 +478,13 @@ add_library(
src/io/avro/reader_impl.cu
src/io/comp/brotli_dict.cpp
src/io/comp/comp.cpp
src/io/comp/comp.cu
src/io/comp/cpu_unbz2.cpp
src/io/comp/debrotli.cu
src/io/comp/gpuinflate.cu
src/io/comp/nvcomp_adapter.cpp
src/io/comp/nvcomp_adapter.cu
src/io/comp/snap.cu
src/io/comp/statistics.cu
src/io/comp/uncomp.cpp
src/io/comp/unsnap.cu
src/io/csv/csv_gpu.cu
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4 changes: 2 additions & 2 deletions cpp/include/cudf/aggregation.hpp
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
/*
* Copyright (c) 2019-2024, NVIDIA CORPORATION.
* Copyright (c) 2019-2025, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
Expand Down Expand Up @@ -601,7 +601,7 @@ std::unique_ptr<Base> make_udf_aggregation(udf_type type,
data_type output_type);

// Forward declaration of `host_udf_base` for the factory function of `HOST_UDF` aggregation.
struct host_udf_base;
class host_udf_base;

/**
* @brief Factory to create a HOST_UDF aggregation.
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