/**
 * A Maven lifecycle is a sequence of predefined phases that govern the build process
 * of a Maven project. Each phase represents a specific step, such as compiling the
 * code, running tests, packaging the project, and deploying it. Executing a phase
 * triggers all preceding phases, ensuring that each step of the build process is
 * completed in the correct order. The three main lifecycles in Maven are

 *     .add(hostname, "sha256/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=")
 *     .build();
 * OkHttpClient client = OkHttpClient.Builder()
 *     .certificatePinner(certificatePinner)
 *     .build();
 *
 * Request request = new Request.Builder()
 *     .url("https://" + hostname)
 *     .build();
 * client.newCall(request).execute();
 * ```
 *

    Object[] listInternalArray = list.array;
    assertSame(builderArray, builderArrayAfterAdds);
    assertSame(builderArray, listInternalArray);
  }

  public void testBuilderAdd_varargs() {
    ImmutableList<String> list =
        new ImmutableList.Builder<String>().add("a", "b", "a", "c").build();
    assertEquals(asList("a", "b", "a", "c"), list);
  }

If CC_FOR_TARGET is not set when the toolchain is built (make.bash or all.bash), CC
can be set on the command line. For example,

	GOOS=ios GOARCH=amd64 CGO_ENABLED=1 CC=$(go env GOROOT)/misc/ios/clangwrap.sh go build

Setting CC is not necessary if the toolchain is built with CC_FOR_TARGET set.

To use the go tool to run individual programs and tests, put $GOROOT/bin into PATH to ensure

labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

Provide code to help us reproduce your issues using one of the following options:

#### Option A: Reference colab notebooks

    # pyenv from github.
    rm -rf "$PYENV_ROOT"
    git clone https://github.com/pyenv/pyenv.git "$PYENV_ROOT"
  fi
  echo "Upgraded pyenv version: $(pyenv --version)"
fi

# Scheduled nightly and release builds upload build artifacts (Pip packages,
# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as
# a service account that has the right permissions to be able to do so.
set +x

# to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow"
# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1

# have passed Google's internal style guidelines.
@test "Check buildifier formatting on BUILD files" {
    echo "buildifier formatting is recommended. Here are the suggested fixes:"
    echo "============================="
    grep -e 'BUILD' $BATS_FILE_TMPDIR/changed_files \
        | xargs buildifier -v -mode=diff -diff_command="git diff --no-index"
}

   *         .put("one", 1)
   *         .putAll("several", 1, 2, 3)
   *         .putAll("many", 1, 2, 3, 4, 5)
   *         .build();
   * }
   *
   * <p>Builder instances can be reused; it is safe to call {@link #build} multiple times to build
   * multiple multimaps in series. Each multimap contains the key-value mappings in the previously
   * created multimaps.
   *
   * @since 2.0
   */

 */
@Experimental
public interface Invoker extends AutoCloseable {
    /**
     * Invokes the Maven application using the provided {@link InvokerRequest}.
     * This method is responsible for executing the Maven command or build
     * process based on the information contained in the request.
     *
     * @param invokerRequest the request containing all necessary information for the invocation