object AdHocPerformanceScenarioWindows : AdHocPerformanceScenario(Os.WINDOWS)
object AdHocPerformanceScenarioMacOS : AdHocPerformanceScenario(Os.MACOS, Arch.AMD64)

        param("env.GRADLE_INTERNAL_REPO_URL", "%gradle.internal.repository.url%")
        if (os == Os.MACOS) {
            // Use fewer parallel forks on macOs, since the agents are not very powerful.
            param("maxParallelForks", "2")
        }
        if (os == Os.LINUX || os == Os.MACOS) {
            param("env.LC_ALL", "en_US.UTF-8")
        }
    }
}

  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)

    ),
    WINDOWS(
        "Windows",
        androidHome = """C:\Program Files\android\sdk""",
        jprofilerHome = """C:\Program Files\jprofiler\jprofiler11.1.4""",
        perfTestWorkingDir = "P:/",
    ),
    MACOS(
        "Mac",
        androidHome = "/opt/android/sdk",
        jprofilerHome = "/Applications/JProfiler11.1.4.app",
        defaultArch = Arch.AARCH64
    );

```

### Run MinIO Docker as a regular user

Docker provides standardized mechanisms to run docker containers as non-root users.

#### GNU/Linux and macOS (regular user)

On Linux and macOS you can use `--user` to run the container as regular user.

> NOTE: make sure --user has write permission to *${HOME}/data* prior to using `--user`.

```sh
mkdir -p ${HOME}/data
docker run \

      github.event_name == 'workflow_dispatch' ||
      ( github.event_name == 'pull_request' && github.event.pull_request.head.repo.fork )

    strategy:
      matrix:
        os: [ubuntu-latest, windows-latest, macOS-latest]
      fail-fast: false

    runs-on: ${{ matrix.os }}

    steps:
      - uses: actions/checkout@v4
        with:
          persist-credentials: false

      - uses: actions/setup-java@v4

# ==============================================================================
#
# Changes the behavior in pycpp.sh from "run all tests" to "verify that all
# tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test
# execution is too expensive.
TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1

# Note that "_push" cache configs write to GCS buckets and require
# authentication. If you are not a Googler, source "public_cache" to enable the
# public read-only cache.
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache_push"
else
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache_push"

    testCoverage: TestCoverage,
    subprojectName: String
): Boolean {
    return if (testCoverage.os == Os.MACOS && testCoverage.arch == Arch.AMD64) {
        subprojectName.contains("native") ||
            // Include precondition-tester here so we understand that tests do run on macOS intel as well
            subprojectName in listOf("file-watching", "snapshots", "workers", "logging", "precondition-tester")
    } else {

#    build. This should also match the system you're using--you cannot build
#    the TF MacOS package from Linux.
#      Ex. linux_x86        -- x86_64 Linux platform
#      Ex. linux_x86_cuda   -- x86_64 Linux platform, with Nvidia CUDA support
#      Ex. macos_arm64      -- arm64 MacOS platform
# 3. Add modifiers. Some modifiers for local execution are:
#      Ex. disk_cache -- Use a local cache