*
   * <pre>{@code
   * Optional<Number> optionalInt = (Optional) getSomeOptionalInt();
   * Number value = optionalInt.or(0.5); // fine
   *
   * FluentIterable<? extends Number> numbers = getSomeNumbers();
   * Optional<Number> first = (Optional) numbers.first();
   * Number value = first.or(0.5); // fine
   * }</pre>
   *
   * <p><b>Comparison to {@code java.util.Optional}:</b> this method is similar to Java 8's {@code

			return x.setIdx(i, ventry)
		}
	}

	// We did not find it, add it.
	return x.addVersion(ventry)
}

func (x *xlMetaV2) SharedDataDirCount(versionID [16]byte, dataDir [16]byte) int {
	// v2 object is inlined, if it is skip dataDir share check.
	if x.data.entries() > 0 && x.data.find(uuid.UUID(versionID).String()) != nil {
		return 0
	}
	var sameDataDirCount int

    * Search for such links in the translated document using the regex `#[^# ]`.
    * Search in all documents already translated into your language for `your-translated-document.md`. For example VS Code has an option "Edit" -> "Find in Files".

 *         .catching(RpcException.class, e -> false, directExecutor());
 * }</pre>
 *
 * <h3>Alternatives</h3>
 *
 * <h4>Frameworks</h4>
 *
 * <p>When chaining together a graph of asynchronous operations, you will often find it easier to
 * use a framework. Frameworks automate the process, often adding features like monitoring,
 * debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>

    for (int i = 0; i < args.length; i++) {
      Parameter param = params.get(i);
      if (i != indexOfParamToSetToNull) {
        args[i] = getDefaultValue(param.getType());
        Assert.assertTrue(
            "Can't find or create a sample instance for type '"
                + param.getType()
                + "'; please provide one using NullPointerTester.setDefault()",
            args[i] != null || isNullable(param));
      }
    }

    // the given node name (error_node_) and requested device (error_device_).
    for (const auto node : graph->get()->nodes()) {
      if (node->name().find(error_node_) != string::npos &&
          node->requested_device() == error_device_) {
        return tensorflow::errors::Internal("Injected graph pass error.");
      }
    }
    return absl::OkStatus();
  }

   */
  private static MatchResult createMatchResult() {
    Matcher matcher = Pattern.compile(".").matcher("X");
    matcher.find();
    return matcher.toMatchResult();
  }

  private static final ClassToInstanceMap<Object> DEFAULTS =
      ImmutableClassToInstanceMap.builder()
          // primitives
          .put(Object.class, "")

                                          const char* attr_name,
                                          TF_Status* status) {
  const tensorflow::AttrValue* attr = oper->node.attrs().Find(attr_name);
  if (attr == nullptr) {
    status->status = InvalidArgument("Operation '", oper->node.name(),
                                     "' has no attr named '", attr_name, "'.");
  }
  return attr;
}

			xhttp.DrainBody(respBody)
			return toStorageErr(err) != errDiskNotFound
		}
	}
	conn := gm.Connection(endpoint.GridHost()).Subroute(endpoint.Path)
	if conn == nil {
		return nil, fmt.Errorf("unable to find connection for %s in targets: %v", endpoint.GridHost(), gm.Targets())
	}
	client := &storageRESTClient{
		endpoint:      endpoint,
		restClient:    restClient,
		gridConn:      conn,

    development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`
    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

    you can do this by using the following command. As an example-

    ```bash
    docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10
    ```