New pre-commit config

.JuliaFormatter.toml

@@ -1,3 +1,3 @@
 style = "blue"
 join_lines_based_on_source=true
-margin=100
+margin=100

.gitattributes

@@ -1,3 +1,3 @@
 # Auto detect text files and perform LF normalization
 * text=auto
-.githash merge=ours
+.githash merge=ours

.githash

@@ -1 +1 @@
-c35ce35cb9a555d168b58c4f3a17ed146d258f94
+224cac24f15449a338abebe1bc17ba74c07d9f5c

.github/workflows/TagBot.yml

@@ -27,4 +27,4 @@ jobs:
     steps:
       - uses: JuliaRegistries/TagBot@v1
         with:
-          token: ${{ secrets.GITHUB_TOKEN }}
+          token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/ci.yml

@@ -51,16 +51,16 @@ jobs:
         #   - julia: '1.12'
         #     allow-failure: true
     continue-on-error: ${{ matrix.allow-failure || false }}
-    
+
     steps:
       - uses: actions/checkout@v4
-      
+
       - uses: julia-actions/setup-julia@v2
         with:
           version: ${{ matrix.julia }}
-      
+
       - uses: julia-actions/cache@v2
-      
+
       - name: Run tests
         env:
           GPUTESTS: "0" # parsed by runtests.jl

.github/workflows/conda.yml

@@ -78,7 +78,7 @@
 #       - name: Setup Conda env
 #         run: |
 #           conda create -n myenv -c conda-forge -c legate cupynumeric=25.11.00 python=3.11 elfutils libdwarf -y
-      
+
 #       - name: Load Julia packages from cache
 #         id: julia-cache
 #         uses: julia-actions/cache@v2
@@ -99,7 +99,7 @@
 #           MYENV_PATH=$CONDA_PATH/envs/myenv
 #           echo "LD_PRELOAD=$MYENV_PATH/lib/libdw.so.1:$MYENV_PATH/lib/libdwarf.so:$MYENV_PATH/lib/libelf.so.1:$MYENV_PATH/lib/libgomp.so.1:$MYENV_PATH/lib/libstdc++.so.6:$LD_PRELOAD" >> $GITHUB_ENV
 #           echo "MYENV_PATH=$MYENV_PATH" >> $GITHUB_ENV
-          
+
 #       - name: Setup cuNumeric.jl and Legate.jl
 #         run: |
 #           conda run --no-capture-output -n myenv julia --color=yes -e '

.github/workflows/container.yml

@@ -115,7 +115,7 @@ jobs:
 
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
-        
+
       - name: Cache Docker layers
         uses: actions/cache@v4
         with:
@@ -167,4 +167,4 @@ jobs:
             docker stop ${{ steps.pkg.outputs.ref }} || true
             docker rm ${{ steps.pkg.outputs.ref }} || true
             docker image rm ${{ steps.meta.outputs.tags }} || true
-          fi
+          fi

.github/workflows/developer.yml

@@ -80,7 +80,7 @@ jobs:
           wget https://github.com/Kitware/CMake/releases/download/v3.30.7/cmake-3.30.7-linux-x86_64.sh --no-check-certificate
           sh cmake-3.30.7-linux-x86_64.sh --skip-license --prefix=$HOME/.local
           echo "$HOME/.local/bin" >> $GITHUB_PATH
-      
+
       - name: Load Julia packages from cache
         id: julia-cache
         uses: julia-actions/cache@v2

.github/workflows/docs.yml

@@ -54,4 +54,4 @@ jobs:
         run: julia --color=yes --project=docs docs/make.jl
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }}
+          DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }}

.gitignore

@@ -11,7 +11,7 @@ build_wrapper.sh
 
 logging
 logging/*
-debug 
+debug
 debug/*
 
 compile_wrapper.sh
@@ -44,7 +44,7 @@ deps/lapacke_build/
 deps/deps.jl
 
 # generated by Julia build system
-build.log 
+build.log
 env.log
 
 .localenv
@@ -82,4 +82,3 @@ node_modules
 *.exe
 *.out
 *.app
-

.pre-commit-config.yaml

@@ -0,0 +1,23 @@
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.6.0
+    hooks:
+      - id: trailing-whitespace
+      - id: end-of-file-fixer
+      - id: check-yaml
+      - id: check-added-large-files
+
+  - repo: https://github.com/pre-commit/mirrors-clang-format
+    rev: v14.0.0
+    hooks:
+      - id: clang-format
+        types_or: [c++, c]
+
+  - repo: local
+    hooks:
+      - id: julia-formatter
+        name: JuliaFormatter
+        description: "Run JuliaFormatter on staged Julia files."
+        entry: julia --project=. -e 'using JuliaFormatter; format(ARGS, verbose=true)'
+        language: system
+        types: [julia]

Dockerfile

@@ -8,15 +8,15 @@ ENV CUDA_VERSION_MAJOR_MINOR="${CUDA_MAJOR}.${CUDA_MINOR}"
 ARG REF=main
 ENV REF=${REF}
 # using bash
-SHELL ["/bin/bash", "-c"] 
+SHELL ["/bin/bash", "-c"]
 ENV DEBIAN_FRONTEND=noninteractive
 
 # force turn off legate auto config for precompilation.
 ENV LEGATE_AUTO_CONFIG=0
 
 # much of the CUDA.jl setup is from Tim Besard
 # CUDA.jl Dockerfile https://github.com/JuliaGPU/CUDA.jl/blob/master/Dockerfile
-# Thank you Tim for the reccomendation. 
+# Thank you Tim for the reccomendation.
 
 ARG JULIA_CPU_TARGET=native
 ENV JULIA_CPU_TARGET=${JULIA_CPU_TARGET}
@@ -101,7 +101,7 @@ EOF
 RUN apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
-ENV LEGATE_AUTO_CONFIG=1 
+ENV LEGATE_AUTO_CONFIG=1
 
 ENTRYPOINT source /etc/.env && exec /bin/bash
 WORKDIR /workspace

README.md

@@ -7,7 +7,7 @@
 
 The cuNumeric.jl package wraps the [cuPyNumeric](https://github.com/nv-legate/cupynumeric) C++ API from NVIDIA to bring simple distributed computing on GPUs and CPUs to Julia! We provide a simple array abstraction, the `NDArray`, which supports most of the operations you would expect from a normal Julia array.
 
-> [!WARNING]  
+> [!WARNING]
 > cuNumeric.jl is under active development. This is an alpha API and is subject to change. Stability is not guaranteed until the first official release. We are actively working to improve the build experience to be more seamless and Julia-friendly.
 
 ### Quick Start
@@ -39,7 +39,7 @@ x_max = 10.0f0
 domain = [-x_max, x_max]
 Ω = domain[2] - domain[1]
 
-samples = Ω*cuNumeric.rand(N) .- x_max 
+samples = Ω*cuNumeric.rand(N) .- x_max
 estimate = (Ω/N) * sum(integrand(samples))
 
 println("Monte-Carlo Estimate: $(estimate)")

benchmark/cpp_matmul/CMakeLists.txt

@@ -12,6 +12,6 @@ endif()
 
 find_package(cupynumeric REQUIRED)
 
-add_executable(matmulfp32_test main.cpp) 
+add_executable(matmulfp32_test main.cpp)
 target_link_libraries(matmulfp32_test PRIVATE cupynumeric::cupynumeric)
 install(TARGETS matmulfp32_test DESTINATION "${CMAKE_CURRENT_BINARY_DIR}/cmake-install")

benchmark/cpp_matmul/build.sh

@@ -4,4 +4,4 @@ cupynumeric_root=`python -c 'import cupynumeric.install_info as i; from pathlib
 echo "Using cuPyNumeric at $cupynumeric_root"
 
 cmake -S . -B build -D legate_ROOT="$legate_root" -D cupynumeric_ROOT="$cupynumeric_root" -D CMAKE_BUILD_TYPE=Debug
-cmake --build build --parallel 8 --verbose 
+cmake --build build --parallel 8 --verbose

codecov.yml

@@ -8,4 +8,4 @@ coverage:
   status:
     patch: false
     project: false
-    changes: false
+    changes: false

deps/build.jl

@@ -1,4 +1,4 @@
-#= Copyright 2026 Northwestern University, 
+#= Copyright 2026 Northwestern University,
  *                   Carnegie Mellon University University
  *
  * Licensed under the Apache License, Version 2.0 (the "License");

deps/version.jl

@@ -1,4 +1,4 @@
-#= Copyright 2026 Northwestern University, 
+#= Copyright 2026 Northwestern University,
  *                   Carnegie Mellon University University
  *
  * Licensed under the Apache License, Version 2.0 (the "License");

docs/src/.vitepress/config.mts

@@ -39,7 +39,7 @@ export default defineConfig({
     // ['script', {src: '/versions.js'], for custom domains, I guess if deploy_url is available.
     ['script', {src: `${baseTemp.base}siteinfo.js`}]
   ],
-  
+
   vite: {
     define: {
       __DEPLOY_ABSPATH__: JSON.stringify('REPLACE_ME_DOCUMENTER_VITEPRESS_DEPLOY_ABSPATH'),
@@ -50,18 +50,18 @@ export default defineConfig({
       }
     },
     optimizeDeps: {
-      exclude: [ 
+      exclude: [
         '@nolebase/vitepress-plugin-enhanced-readabilities/client',
         'vitepress',
         '@nolebase/ui',
-      ], 
-    }, 
-    ssr: { 
-      noExternal: [ 
+      ],
+    },
+    ssr: {
+      noExternal: [
         // If there are other packages that need to be processed by Vite, you can add them here.
         '@nolebase/vitepress-plugin-enhanced-readabilities',
         '@nolebase/ui',
-      ], 
+      ],
     },
   },
   markdown: {

docs/src/.vitepress/theme/index.ts

@@ -3,9 +3,9 @@ import { h } from 'vue'
 import DefaultTheme from 'vitepress/theme'
 import type { Theme as ThemeConfig } from 'vitepress'
 
-import { 
-  NolebaseEnhancedReadabilitiesMenu, 
-  NolebaseEnhancedReadabilitiesScreenMenu, 
+import {
+  NolebaseEnhancedReadabilitiesMenu,
+  NolebaseEnhancedReadabilitiesScreenMenu,
 } from '@nolebase/vitepress-plugin-enhanced-readabilities/client'
 
 import VersionPicker from "@/VersionPicker.vue"
@@ -36,4 +36,4 @@ export const Theme: ThemeConfig = {
     app.component('Authors', Authors)
   }
 }
-export default Theme
+export default Theme

docs/src/.vitepress/theme/style.css

@@ -24,7 +24,7 @@ https://github.com/vuejs/vitepress/blob/main/src/client/theme-default/styles/var
 --vp-font-family-mono: JuliaMono-Regular, monospace;
 }
 
-/* Disable contextual alternates (kind of like ligatures but different) in monospace, 
+/* Disable contextual alternates (kind of like ligatures but different) in monospace,
  which turns `/>` to an up arrow and `|>` (the Julia pipe symbol) to an up arrow as well. */
 .mono-no-substitutions {
 font-family: "JuliaMono-Regular", monospace;
@@ -98,7 +98,7 @@ font-feature-settings: "calt" off;
     -145deg,
     #9558b282 30%,
     #3798269a 30%,
-    #cb3d33e3 
+    #cb3d33e3
   );
   --vp-home-hero-image-filter: blur(40px);
 }
@@ -172,4 +172,4 @@ mjx-container {
 mjx-container > svg {
   margin: auto;
   display: inline-block;
-}
+}

docs/src/benchmark.md

@@ -21,7 +21,7 @@ GEMM Efficiency            |  GEMM GFLOPS
 
 ## Monte-Carlo Integration
 
-Monte-Carlo integration is embaressingly parallel and should scale perfectly. We do not know the exact number of operations in `exp` so the GFLOPs is off by a constant factor. 
+Monte-Carlo integration is embaressingly parallel and should scale perfectly. We do not know the exact number of operations in `exp` so the GFLOPs is off by a constant factor.
 
 Code Outline:
 ```julia
@@ -45,7 +45,7 @@ Solving a PDE requires halo-exchanges and lots of data movement. In this benchma
 
 Since there is no programatic way to set the hardware configuration (as of 24.11) benchmarking cuNumeric.jl code is a bit tedious. As an introduction, we walk through a benchmark of matrix multiplication (SGEMM). All the code for this benchmark can be found in the `cuNumeric.jl/pkg/benchmark` directory.
 
-> [!WARNING]  
+> [!WARNING]
 > We do not commit to maintaining the benchmark scripts, due to difficulty programatically configuring legate and API overturn as we work on cuNumeric v1.0. The general principles used should work, even if the code does not.
 
 
@@ -73,14 +73,14 @@ function total_space(N, M)
 end
 ```
 
-We cannot use rely on common benchmark tools in Julia like [BenchmarkTools.jl](https://github.com/JuliaCI/BenchmarkTools.jl) or [ChairMarks.jl](https://github.com/LilithHafner/Chairmarks.jl) or even the built in `Base.@time` macro. The asynchronous nature of operations on NDArrays means that function calls will execute almost immediately and program execution must be blocked to properly time a kernel. It is technically possible to time NDArray operations with something like [BenchmarkTools.jl](https://github.com/JuliaCI/BenchmarkTools.jl) by adding a blocking operation (e.g., accessing the result), but the allocations reported by these tools will never be correct and it is safer to use the timing functionality from CuPyNumeric. 
+We cannot use rely on common benchmark tools in Julia like [BenchmarkTools.jl](https://github.com/JuliaCI/BenchmarkTools.jl) or [ChairMarks.jl](https://github.com/LilithHafner/Chairmarks.jl) or even the built in `Base.@time` macro. The asynchronous nature of operations on NDArrays means that function calls will execute almost immediately and program execution must be blocked to properly time a kernel. It is technically possible to time NDArray operations with something like [BenchmarkTools.jl](https://github.com/JuliaCI/BenchmarkTools.jl) by adding a blocking operation (e.g., accessing the result), but the allocations reported by these tools will never be correct and it is safer to use the timing functionality from CuPyNumeric.
 
-The timer built into CuPyNumeric blocks execution until all Legate operations preceding the call that generated the timing object complete. We provide two timing utilities: `get_time_microseconds` and `get_time_nanoseconds`. 
+The timer built into CuPyNumeric blocks execution until all Legate operations preceding the call that generated the timing object complete. We provide two timing utilities: `get_time_microseconds` and `get_time_nanoseconds`.
 
 Now we can write the benchmark code. There are two more parameters we need to set: the number of samples, `n_samples`, and the number of warm-up samples, `n_warnup`. With all this the benchmark loop is:
 
 ```julia
-using LinearAlgebra 
+using LinearAlgebra
 using cuNumeric
 
 function gemm_cunumeric(N, M, n_samples, n_warmup)
@@ -150,4 +150,3 @@ As part of a more complete benchmark we ran our code on up to 8 A100 GPUs (singl
 GEMM Efficiency            |  GEMM GFLOPS
 :-------------------------:|:-------------------------:
 ![GEMM Efficiency](images/gemm_efficiency.svg)  |  ![GEMM GFLOPS](images/gemm_gflops.svg)
-

docs/src/components/AuthorBadge.vue

@@ -136,4 +136,4 @@ const getColor = (name) => {
   box-shadow: 0 0 0 1.25px rgba(248, 248, 247, 0.4);
   transition: all 0.2s ease;
 }
-</style>
+</style>

docs/src/components/Authors.vue

@@ -10,19 +10,19 @@
       />
     </div>
   </template>
-  
+
   <script setup>
   import { useData } from 'vitepress'
-  
+
   const { frontmatter } = useData()
   const pageAuthors = frontmatter.value.authors || []
   </script>
-  
+
   <style scoped>
   .authors-container {
     display: flex;
     flex-wrap: wrap;
     gap: 0.5rem;
     margin: 1rem 0;
   }
-  </style>
+  </style>

docs/src/components/VersionPicker.vue

@@ -122,4 +122,4 @@ onMounted(() => {
 .VPVersionPicker:hover :deep(button .text) {
   color: var(--vp-c-text-2) !important;
 }
-</style>
+</style>

docs/src/dev.md

@@ -2,9 +2,9 @@
 
 To contribute to cuNumeric.jl, we recommend cloning the repository and adding it to one of your existing environments with `Pkg.develop`.
 ```bash
-git clone https://github.com/JuliaLegate/cuNumeric.jl.git 
+git clone https://github.com/JuliaLegate/cuNumeric.jl.git
 julia --project=. -e 'using Pkg; Pkg.develop(path = "cuNumeric.jl/lib/CNPreferences")'
 julia --project=. -e 'using Pkg; Pkg.develop(path = "cuNumeric.jl")'
 julia --project=. -e 'using CNPreferences; CNPreferences.use_developer_mode()'
 julia --project=. -e 'using Pkg; Pkg.build()'
-```
+```