import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import java.util.Set;

/**
 * Thrown when requirements on a tester method or class conflict with each other.
 *
 * @author George van den Driessche
 */
@GwtCompatible
public class ConflictingRequirementsException extends Exception {
  private final Set<Feature<?>> conflicts;
  private final Object source;

import org.apache.maven.artifact.Artifact;
import org.apache.maven.artifact.repository.ArtifactRepository;
import org.apache.maven.artifact.resolver.ArtifactResolutionException;

/**
 * Occurs when ranges exclude each other and no valid value remains.
 *
 */
public class OverConstrainedVersionException extends ArtifactResolutionException {
    public OverConstrainedVersionException(String msg, Artifact artifact) {

    void transform(TransformOutputs outputs) {
        File artifactFile = artifact.get().asFile
        if (artifactFile.name == 'gradle-dependencies') {
            (artifactFile.listFiles() as List<File>).sort { it.name }.each {
                outputs.file(it)
            }
        }
    }

          if (fileSet.empty) {
            // In cases where we don't match any workspace files, exclude everything
            ant.exclude(name: "**/*")
          } else {
            fileSet.each {
              ant.include(name: projectDir.toPath().relativize(it.toPath()))
            }
          }
        }

 * Implementations provide integration with different LLM providers
 * such as Ollama, OpenAI, and Google Gemini.
 *
 * In addition to low-level chat operations, this interface defines
 * high-level RAG workflow methods that allow each provider to optimize
 * prompt construction, parameter tuning, and response parsing.
 */
public interface LlmClient {

    /**
     * Performs a chat completion request.
     *

import java.util.Map;
import org.jspecify.annotations.NullUnmarked;

/**
 * Enumerates several algorithms providing equivalent functionality to {@link Quantiles}, for use in
 * {@link QuantilesBenchmark}. These algorithms each calculate either a single quantile or multiple
 * quantiles. All algorithms modify the dataset they are given (the cost of a copy to avoid this
 * will be constant across algorithms).
 *
 * @author Pete Gillin
 * @since 20.0

            boolean defaultsToEmpty);

    /**
     * Creates a composite function from a collection of functions.
     *
     * @param functions A collection of functions, each taking a String as input and returning a String.
     * @return A function that applies each function in the collection in order until a non-null result is found.
     *         If all functions return null, the composite function returns null.
     *

// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of
// the op that produced it (or -1 if this tensor was watched using
// `GradientTape::Watch`.) The op_id is simply a unique index assigned to each
// op executed under the tape. A separate map (`tensorflow::eager::OpTape`)
// maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`,

import java.io.OutputStream;
import java.util.Arrays;

/**
 * Writes data passed to this stream as log messages.
 *
 * The stream will be flushed whenever a newline is detected.
 * Allows setting an optional prefix before each line of output.
 */
public abstract class LoggingOutputStream extends OutputStream {
    /** The starting length of the buffer */
    private static final int DEFAULT_BUFFER_LENGTH = 4096;

   */
  Set<E> elementSet();

  /**
   * Returns a view of the contents of this multiset, grouped into {@code Multiset.Entry} instances,
   * each providing an element of the multiset and the count of that element. This set contains
   * exactly one entry for each distinct element in the multiset (thus it always has the same size
   * as the {@link #elementSet}). The order of the elements in the element set is unspecified.
   *