* During certain lifecycle phases, particularly for aggregator mojos, Maven may create
     * a forked project (a copy of the original project) to execute a subset of the lifecycle.
     * This method allows retrieving the original project that initiated the build.
     *
     * @param project the potentially forked project

            "The process cannot access the file because it is being used by another process.",
            "The process cannot access the file because another process has locked a portion of the file.", "The disk is full.",
            "A duplicate name exists on the network.", "The network name cannot be found.", "ERRnomoreconn.", "The file exists.",

            "The process cannot access the file because it is being used by another process.",
            "The process cannot access the file because another process has locked a portion of the file.", "The disk is full.",
            "A duplicate name exists on the network.", "The network name cannot be found.", "ERRnomoreconn.", "The file exists.",

    /**
     * Creates a new source backed by the specified file.
     *
     * @param file The file, must not be {@code null}.
     * @deprecated Use {@link #FileSource(Path)} instead.
     */
    @Deprecated
    public FileSource(File file) {
        this(Objects.requireNonNull(file, "file cannot be null").toPath());
    }

    /**
     * Creates a new source backed by the specified file.
     *

    }

    public void test_getOverrideConfPath() {
        // Test when app type is not docker
        OptionalEntity<String> confPath = ResourceUtil.getOverrideConfPath();
        assertNotNull(confPath);
        // Should be empty when not docker app type
        if (!"docker".equalsIgnoreCase(ResourceUtil.getAppType())) {
            assertFalse(confPath.isPresent());
        }
    }

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1

import com.google.common.collect.testing.UnhashableObject;
import java.util.Map;
import org.jspecify.annotations.NullUnmarked;

@GwtIncompatible // GWT's ImmutableMap emulation is backed by java.util.HashMap.
@NullUnmarked
public class SingletonImmutableMapWithUnhashableValueMapInterfaceTest
    extends RegularImmutableMapWithUnhashableValuesMapInterfaceTest {
  @Override

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WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

- github.com/creack/pty: [v1.1.7 → v1.1.11](https://github.com/creack/pty/compare/v1.1.7...v1.1.11)
- github.com/docker/docker: [bd33bbf → v20.10.2+incompatible](https://github.com/docker/docker/compare/bd33bbf...v20.10.2)
- github.com/go-logr/logr: [v0.2.0 → v0.4.0](https://github.com/go-logr/logr/compare/v0.2.0...v0.4.0)