void TF_DeleteExecutionContext(TF_ExecutionContext*);

// Represents a (partially-defined) shape.
typedef struct TF_Shape {
  int num_dims;  // Must be >= -1; -1 represents unknown rank.
  int64_t* dim_sizes;
} TF_Shape;

// Add a new parameter to a TensorFlow Function.
TF_AbstractTensor* TF_AddFunctionParameter(TF_ExecutionContext* func,

// Set the shapes and types of the output's handle.
//
// The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must
// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the
// rank is known), then it must be equal to the length of `shapes[i]`; if
// `ranks[i] == 1`, then `shapes[i]` may be nullptr.
//
// TODO(akshayka): Implement a corresponding getter method.

     */
    public static CorsHandlerFactory getCorsHandlerFactory() {
        return getComponent(CORS_HANDLER_FACTORY);
    }

    /**
     * Gets the rank fusion processor component.
     * @return The rank fusion processor.
     */
    public static RankFusionProcessor getRankFusionProcessor() {
        return getComponent(RANK_FUSION_PROCESSOR);
    }

    /**

    TFE_Context* ctx, const char* task, int64_t timeout_in_ms,
    TF_Status* status);

// Information about the shape of a Tensor and its type.
struct TF_ShapeAndType {
  // Number of dimensions. -1 indicates unknown rank.
  int num_dims;
  // Array of dimensions. -1 indicates unknown dim.
  int64_t* dims;
  // The data type. May be 0 to denote unknown type.
  TF_DataType dtype;
};

import org.codelibs.fess.opensearch.client.SearchEngineClient.SearchConditionBuilder;
import org.codelibs.fess.opensearch.client.SearchEngineClientException;
import org.codelibs.fess.query.QueryFieldConfig;
import org.codelibs.fess.rank.fusion.RankFusionProcessor;
import org.codelibs.fess.util.BooleanFunction;
import org.codelibs.fess.util.ComponentUtil;
import org.codelibs.fess.util.QueryResponseList;
import org.dbflute.optional.OptionalEntity;

                                              const char* attr_name,
                                              const char* value, size_t length);

// Set `num_dims` to -1 to represent "unknown rank".  Otherwise,
// `dims` points to an array of length `num_dims`.  `dims[i]` must be
// >= -1, with -1 meaning "unknown dimension".
TF_CAPI_EXPORT extern void TF_SetAttrShape(TF_OperationDescription* desc,

        ComponentUtil.getLanguageHelper().updateDocument(map);
    }

    /**
     * Adds a boost value to the document for search relevance scoring.
     * The boost value affects how highly the document will rank in search results.
     *
     * @param map the document data map to add the boost value to
     * @param documentBoost the boost value to apply to the document
     */

	"http://dbflute.org/meta/lastadi10.dtd">
<components>
	<component name="rankFusionProcessor"
		class="org.codelibs.fess.rank.fusion.RankFusionProcessor">
		<postConstruct name="setSearcher">
			<arg>
				<component
					class="org.codelibs.fess.rank.fusion.DefaultSearcher">
				</component>
			</arg>
		</postConstruct>
	</component>

  abstract Map<Integer, Double> multipleQuantiles(
      Collection<Integer> indexes, int scale, double[] dataset);

  static double getMinValue(double[] array, int from) {
    // This is basically a copy of com.google.math.Rank#getMinValue, with a small change in the
    // method signature: we always search to the end of the array.
    int min = from;
    for (int i = from + 1; i < array.length; i++) {
      if (array[min] > array[i]) {

// required except where indicated.
typedef struct TFE_CustomDeviceTensorHandleMethods {
  int version = TFE_CUSTOM_DEVICE_VERSION;

  // Computes the rank of the tensor handle.
  //
  // Shapes are specified via callbacks because retrieving the shape of a tensor
  // is a blocking operation for async eager; custom devices should avoid