*     indexes, and the values the corresponding quantile values. When iterating, entries in the
     *     map are ordered by quantile index in the same order they were passed to the {@code
     *     indexes} method.
     */
    public Map<Integer, Double> compute(Collection<? extends Number> dataset) {
      return computeInPlace(Doubles.toArray(dataset));
    }

    /**

In the previous example, because the classes were different, we had to use the `response_model` parameter. But that also means that we don't get the support from the editor and tools checking the function return type.

        int expected = original & 0xFF;
        NdrShort ns = new NdrShort(original);
        buf.reset();
        ns.encode(buf); // should not throw

        // After encoding, check how many bytes were used
        int bytesUsed = buf.getIndex();
        // Should be 2 bytes for the short value (alignment may add padding)
        assertTrue(bytesUsed >= 2, "Should use at least 2 bytes for short");

import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;
import org.jspecify.annotations.Nullable;

/**
 * Simple helper class to build a "sparse" array of objects based on the indexes that were added to
 * it. The array will be from 0 to the maximum index given. All non-set indexes will contain null
 * (so it's not really a sparse array, just a pseudo sparse array). The builder can also return a

done

# Switch back to the original working directory. This is needed to ensure that
# cleanup steps at the end of the script works as expected.
popd

echo "Following installer wheels were generated: "
ls "${TFCI_OUTPUT_DIR}"/*.whl

if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then
  # Note: -n disables overwriting previously created files.

BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could
potentially exploit a vulnerability in the TensorFlow code that handles videos,
which could allow them to execute arbitrary code on the system running
TensorFlow.

     *
     * @throws IllegalArgumentException if duplicate key pairs were added
     */
    public ImmutableTable<R, C, V> build() {
      return buildOrThrow();
    }

    /**
     * Returns a newly-created immutable table, or throws an exception if duplicate key pairs were
     * added.
     *
     * @throws IllegalArgumentException if duplicate key pairs were added
     * @since 31.0
     */

  }

  /** Returns the number of times {@link Cache} lookup methods have returned a cached value. */
  public long hitCount() {
    return hitCount;
  }

  /**
   * Returns the ratio of cache requests which were hits. This is defined as {@code hitCount /
   * requestCount}, or {@code 1.0} when {@code requestCount == 0}. Note that {@code hitRate +
   * missRate =~ 1.0}.
   */
  public double hitRate() {

  }

  /** Returns the number of times {@link Cache} lookup methods have returned a cached value. */
  public long hitCount() {
    return hitCount;
  }

  /**
   * Returns the ratio of cache requests which were hits. This is defined as {@code hitCount /
   * requestCount}, or {@code 1.0} when {@code requestCount == 0}. Note that {@code hitRate +
   * missRate =~ 1.0}.
   */
  public double hitRate() {

                    doneLatch.countDown();
                }
            }).start();
        }

        startLatch.countDown();
        doneLatch.await();

        // Verify all items were polled exactly once
        assertEquals(itemsPerThread * numThreads, totalPolled.get());
        assertEquals(itemsPerThread * numThreads, allUrls.size());

        urlQueueService.delete(sessionId);
    }