ci: added GA for new runner

.github/workflows/buildcupy.yaml

@@ -10,7 +10,9 @@ on:
 
 jobs:
   build:
-    runs-on: self-hosted
+    runs-on:
+      - self-hosted
+      - exouser
     steps:
       - name: Check out source repository
         uses: actions/checkout@v6

.github/workflows/buildcupy1.yaml

@@ -0,0 +1,56 @@
+name: PyLops Testing (CuPy1)
+
+on:
+  pull_request:
+    types: [opened, synchronize, reopened]
+  push:
+    branches:
+      - main
+      - dev
+
+jobs:
+  build:
+    runs-on:
+      - self-hosted
+      - exouser
+    steps:
+      - name: Check out source repository
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+      - name: Install uv with Python 3.11
+        uses: astral-sh/setup-uv@v6
+        with:
+          python-version: 3.11
+      - name: Install dependencies and pylops
+        run: |
+          uv sync --locked --extra advanced \
+            --extra stat --extra gpu-cu12 \
+            --extra deep-cu128 --all-groups
+          echo "done!"
+      - name: Install CUDA 12.2 toolkit
+        run: |
+          # Install a consistent CUDA 12.2 toolchain in the uv environment so
+          # NVCC/NVRTC/Runtime agree with each other and numba can resolve
+          # both libnvvm and libcudart from a single CUDA_HOME.
+          uv add nvidia-cuda-nvcc-cu12==12.2.128
+          uv add nvidia-cuda-runtime-cu12==12.2.140
+          uv add nvidia-cuda-nvrtc-cu12==12.2.140
+          # The wheel layout splits nvvm (in cuda_nvcc) and cudart (in cuda_runtime),
+          # so create the lib64 view expected by numba in CUDA_HOME.
+          CUDA_NVCC_ROOT="$PWD/.venv/lib/python3.11/site-packages/nvidia/cuda_nvcc"
+          CUDA_RUNTIME_ROOT="$PWD/.venv/lib/python3.11/site-packages/nvidia/cuda_runtime"
+          mkdir -p "$CUDA_NVCC_ROOT/lib64"
+          ln -sf libnvvm.so "$CUDA_NVCC_ROOT/nvvm/lib64/libnvvm.so.4"
+          ln -sf "$CUDA_RUNTIME_ROOT/lib/libcudart.so.12" "$CUDA_NVCC_ROOT/lib64/libcudart.so.12"
+          ln -sf libcudart.so.12 "$CUDA_NVCC_ROOT/lib64/libcudart.so"
+          echo "done!"
+      - name: Test with pytest
+        run: |
+          # Use the pip-installed pinned CUDA 12.2 toolchain from uv, not any
+          # system CUDA on the runner.
+          export CUDA_HOME="$PWD/.venv/lib/python3.11/site-packages/nvidia/cuda_nvcc"
+          export CUPY_PYLOPS=1
+          export TEST_CUPY_PYLOPS=1
+          uv run pytest --color=yes pytests/
+          echo "done!"