source ci/official/envs/linux_x86
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux"
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"

import org.apache.maven.project.ProjectBuilderConfiguration;

/**
 */
@Deprecated
public interface ModelInterpolator {
    String DEFAULT_BUILD_TIMESTAMP_FORMAT = "yyyyMMdd-HHmm";

    String BUILD_TIMESTAMP_FORMAT_PROPERTY = "maven.build.timestamp.format";

    String ROLE = ModelInterpolator.class.getName();

    /**

function resultstore_extract {
  local \
    XML_PATH="$TFCI_OUTPUT_DIR/Bazel_Test_and_Build_Results/sponge_log.xml"

  python3 \
    "$TFCI_GIT_DIR/ci/official/utilities/extract_resultstore_links.py" \
    "$TFCI_OUTPUT_DIR/script.log" \
    --print \
    --xml-out-path "$XML_PATH" || resultstore_extract_fallback
}

if grep -q "Streaming build results to" "$TFCI_OUTPUT_DIR/script.log"; then

        pip install pylint==2.13.9 numpy wheel
    - name: Run PyLint on changed files
      run: |

        new PrefixQueryCommand().register();
        new TermQueryCommand().register();
        new TermRangeQueryCommand().register();
        new WildcardQueryCommand().register();
    }

    public void test_build_simple() {
        float titleBoost = 0.5f;
        float contentBoost = 0.05f;

        assertQuery(functionScoreQuery(simpleQuery("QUERY", titleBoost, contentBoost)), //

// and also change `avoiding_gradle_internal_apis` section in `src/docs/userguide/authoring-builds/authoring_maintainable_build_scripts.adoc`
object PublicApi {
    val includes = listOf(
        "org/gradle/*",
        "org/gradle/api/**",
        "org/gradle/authentication/**",
        "org/gradle/build/**",
        "org/gradle/buildconfiguration/**",
        "org/gradle/buildinit/**",
        "org/gradle/caching/**",

				continue sections
			}

			// 3 == NT_GNU_BUILD_ID
			if typ == 3 && namesz == 4 && bytes.Equal(d[12:16], []byte("GNU\000")) {
				c++
			}

			d = d[12+an+ad:]
		}
	}

	if c > 1 {
		t.Errorf("found %d build ID notes", c)
	}

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=macos_arm64
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-darwin-arm64"
TFCI_MACOS_BAZEL_TEST_DIR_ENABLE=1
TFCI_MACOS_BAZEL_TEST_DIR_PATH="/Volumes/BuildData/bazel_output"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_BAZEL_TEST_ENABLE=1
TFCI_WHL_SIZE_LIMIT=240M
TFCI_WHL_SIZE_LIMIT_ENABLE=1

# Keys like `- build_infrastructure:` do not mean anything, they just need to be unique
# The `name:` field specifies the platform label, e.g. `name: build_infrastructure` => `platform:build_infrastructure` label
platforms:
  - bt_ge_build_cache:
    name: 'bt_ge_build_cache'
    subprojects:
      - 'platforms/core-execution/build-cache/'
      - 'platforms/core-execution/build-cache-base/'

source ci/official/envs/linux_x86
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_cpu_linux --config=tpu"
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