implementation(libs.bouncycastle.bcpkix)
  implementation(libs.bouncycastle.bctls)
  api(libs.conscrypt.openjdk)
  api(libs.openjsse)

  api(variantOf(libs.amazonCorretto) {
    classifier("linux-x86_64")
  })

  api(libs.hamcrestLibrary)
  api(libs.junit.jupiter.api)
  api(libs.junit.jupiter.params)

  api(libs.junit.pioneer)

  compileOnly(libs.findbugs.jsr305)
  compileOnly(libs.robolectric.android)

  packages:
    - ca-certificates-bundle
    - wolfi-baselayout
    - glibc
    - iptables
    - ip6tables
    - libnetfilter_conntrack
    - libnfnetlink
    - libmnl
    - libgcc
archs:
  - x86_64
  - aarch64
paths:
- path: /run
  type: directory
  permissions: 0o755
accounts:
  users:
    - username: nonroot
      uid: 65532
    - username: nobody
      uid: 65534
  run-as: 65532

# iphonesimulator with one of them.

SDK=iphonesimulator
PLATFORM=ios-simulator

if [ "$GOARCH" == "arm64" ]; then
	CLANGARCH="arm64"
else
	CLANGARCH="x86_64"
fi

SDK_PATH=`xcrun --sdk $SDK --show-sdk-path`

# cmd/cgo doesn't support llvm-gcc-4.2, so we have to use clang.
CLANG=`xcrun --sdk $SDK --find clang`

To run the standard library tests, enable Cgo and use an appropriate
C compiler from the Android NDK. For example,

	CGO_ENABLED=1 \
	GOOS=android \
	GOARCH=arm64 \
	CC_FOR_TARGET=$NDK/toolchains/llvm/prebuilt/linux-x86_64/bin/aarch64-linux-android21-clang \
	./all.bash

To run tests on the Android device, add the bin directory to PATH so the
go tool can find the go_android_$GOARCH_exec wrapper generated by

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ARGS="--gpus all"
TFCI_LIB_SUFFIX="-gpu-linux-x86_64"

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_tpu
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_tpu"
TFCI_LIB_SUFFIX="-tpu-linux-x86_64"
TFCI_WHL_BAZEL_TEST_ENABLE=0
TFCI_WHL_IMPORT_TEST_ENABLE=0
TFCI_WHL_SIZE_LIMIT=580M

TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--build-arg PYTHON_VERSION=python$TFCI_PYTHON_VERSION --target=devel tensorflow/tools/tf_sig_build_dockerfiles"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-x86_64"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_AUDIT_ENABLE=1
TFCI_WHL_AUDIT_PLAT=manylinux2014_x86_64
TFCI_WHL_BAZEL_TEST_ENABLE=1
TFCI_WHL_SIZE_LIMIT=240M

    [Environment]::SetEnvironmentVariable('PATH', $env:PATH, 'Machine');

# Install MSYS2, and add some extra tools.
RUN (New-Object Net.WebClient).DownloadFile( \
         'https://repo.msys2.org/distrib/x86_64/msys2-base-x86_64-20240113.tar.xz', \
         'msys2.tar.xz'); \
    Start-Process -FilePath \"C:\Program Files\7-Zip\7z.exe\" -ArgumentList 'x msys2.tar.xz -oC:\TEMP\msys2.tar' -Wait; \

#    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

 * limitations under the License.
 */

package common

enum class Arch(val suffix: String, val nameOnLinuxWindows: String, val nameOnMac: String) {
    AMD64("64bit", "amd64", "x86_64"),
    AARCH64("aarch64", "aarch64", "aarch64");

    fun asName() = name.lowercase().toCapitalized()
}

enum class Os(
    val agentRequirement: String,
    val androidHome: String,