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2 changes: 1 addition & 1 deletion BUILD.md
Original file line number Diff line number Diff line change
Expand Up @@ -64,7 +64,7 @@ It is recommended to use conda for environment/package management. If doing so,

```bash
conda create -n cuml_dev python=3.13
conda env update -n cuml_dev --file=conda/environments/all_cuda-130_arch-x86_64.yaml
conda env update -n cuml_dev --file=conda/environments/all_cuda-130_arch-$(arch).yaml
conda activate cuml_dev
```

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2 changes: 1 addition & 1 deletion CONTRIBUTING.md
Original file line number Diff line number Diff line change
Expand Up @@ -144,7 +144,7 @@ methods to run clang-tidy on your local machine: using Docker or Conda.
1. Navigate to the repository root directory.
2. Create and activate the needed conda environment:
```bash
conda env create --yes -n cuml-clang-tidy -f conda/environments/clang_tidy_cuda-130_arch-x86_64.yaml
conda env create --yes -n cuml-clang-tidy -f conda/environments/clang_tidy_cuda-130_arch-$(arch).yaml
conda activate cuml-clang-tidy
```
3. Generate the compile command database with
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