tensorflow::AttrValue* attr_value, TF_Status* s);

// Returns a sorted vector of std::pair<function_name, gradient_func> from
// graph_def.library().gradient()
std::vector<std::pair<string, string>> GetGradDefs(
    const tensorflow::GraphDef& graph_def);

// Returns a sorted vector of names contained in `grad_def`
std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def);

    use_cache: bool = True
    path: Optional[str] = None
    cache_key: Tuple[Optional[Callable[..., Any]], Tuple[str, ...]] = field(init=False)

    def __post_init__(self) -> None:

 *
 * Ranges Data (32,612 bytes)
 * ==========================
 *
 * Each entry is 4 bytes, and represents a _range_ of code points that all share a common 14-bit
 * prefix. Entries are sorted by their complete code points.
 *
 * The 4 bytes are named b0, b1, b2 and b3. We also define these supplemental values:
 *
 *  * **b2a**: b2 + 0x80
 *  * **b3a**: b3 + 0x80
 *  * **b2b3**: (b2 << 7) + b3
 *
 * b0

        datasets[i][j] = rng.nextDouble();
      }
    }
  }

  private double[] dataset(int i) {
    // We must test on a fresh clone of the dataset each time. Doing sorts and quickselects on a
    // dataset which is already sorted or partially sorted is cheating.
    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {

        datasets[i][j] = rng.nextDouble();
      }
    }
  }

  private double[] dataset(int i) {
    // We must test on a fresh clone of the dataset each time. Doing sorts and quickselects on a
    // dataset which is already sorted or partially sorted is cheating.
    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {

 * limitations under the License.
 */

package com.google.common.collect.testing;

import static java.util.Collections.sort;

import com.google.common.annotations.GwtCompatible;
import java.util.List;
import java.util.SortedSet;

/**
 * Create integer sets for testing collections that are sorted by natural ordering.
 *
 * @author Chris Povirk
 * @author Jared Levy
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault

  /**
   * Searches the specified list for the specified object using the binary search algorithm. The
   * list must be sorted into ascending order according to the specified comparator (as by the
   * {@link Collections#sort(List, Comparator) Collections.sort(List, Comparator)} method), prior to
   * making this call. If it is not sorted, the results are undefined.
   *

import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Utilities for dealing with sorted collections of all types.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
final class SortedIterables {
  private SortedIterables() {}

  /**
   * Returns {@code true} if {@code elements} is a sorted collection using an ordering equivalent to
   * {@code comparator}.
   */

import java.util.SortedMap;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A sorted map which forwards all its method calls to another sorted map. Subclasses should
 * override one or more methods to modify the behavior of the backing sorted map as desired per the
 * <a href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *

		}
		if val == "" {
			canonicalQueries = append(canonicalQueries, key)
			continue
		}
		canonicalQueries = append(canonicalQueries, key+"="+val)
	}

	// The queries will be already sorted as resourceList is sorted, if canonicalQueries
	// is empty strings.Join returns empty.
	canonicalQuery := strings.Join(canonicalQueries, "&")
	if canonicalQuery != "" {
		return encodedResource + "?" + canonicalQuery
	}