* @param dataset the dataset to do the calculation on, which must be non-empty, which will be
     *     cast to doubles (with any associated lost of precision), and which will not be mutated by
     *     this call (it is copied instead)
     * @return the quantile value
     */
    public double compute(Collection<? extends Number> dataset) {
      return computeInPlace(Doubles.toArray(dataset));
    }

    /**

  clipboard.on("success", function(e) {
    var trigger = e.trigger;
    trigger.classList.remove("url-copy", "far", "fa-copy");
    trigger.classList.add("url-copied", "fas", "fa-check");

    setTimeout(function() {
      trigger.classList.remove("url-copied", "fas", "fa-check");
      trigger.classList.add("url-copy", "far", "fa-copy");
    }, 2000);

    e.clearSelection();
  });

     * If either or both arrays have a length of {@literal 0}, the other array is returned as is.
     * In any case, the returned array is the same instance as the argument array and is not copied.
     * </p>
     *
     * @param <T>
     *            the type of the array elements
     * @param a
     *            first array
     * @param b
     *            second array

#include "tensorflow/core/platform/test.h"

namespace {

struct LoggingDevice {
  std::string device_name;
  std::string underlying_device;
  // Set to true whenever a TensorHandle is copied onto the device
  bool* arrived_flag;
  // Set to true whenever an operation is executed
  bool* executed_flag;
  // If true, only explicit op placements are accepted. If false, uses
  // type-based dispatch.

      long oldPosition = sourceChannel.position();
      long position = oldPosition;
      long copied;
      do {
        copied = sourceChannel.transferTo(position, ZERO_COPY_CHUNK_SIZE, to);
        position += copied;
        sourceChannel.position(position);
      } while (copied > 0 || position < sourceChannel.size());
      return position - oldPosition;
    }

        int result = response.readDataWireFormat(buffer, 10, testData.length);

        assertEquals(testData.length, result);
        // Verify data was copied to outputBuffer
        byte[] expectedData = new byte[testData.length];
        System.arraycopy(outputBuffer, 0, expectedData, 0, testData.length);
        assertArrayEquals(testData, expectedData);
    }

        // In test environments, getSubject() may return null if JAAS is not configured
        // This is acceptable behavior - the test should focus on the cloning logic

        // Clone and verify basic fields copied
        JAASAuthenticator copy = (JAASAuthenticator) orig.clone();
        assertEquals(orig.getUsername(), copy.getUsername());
        assertEquals(orig.getUserDomain(), copy.getUserDomain());

    assert response.json() == {"filename": "test.txt"}

    assert testing_file_store
    assert testing_file_store[0].file.closed


# For UploadFile coverage, segments copied from Starlette tests


@pytest.mark.anyio
async def test_upload_file():
    stream = io.BytesIO(b"data")
    file = UploadFile(filename="file", file=stream, size=4)
    assert await file.read() == b"data"

        }
    }

    function showCopySuccess(button) {
        var originalHtml = button.html();
        button.addClass('copied').html('<i class="fa fa-check"></i> ' + config.labels.copied);
        setTimeout(function() {
            button.removeClass('copied').html(originalHtml);
        }, 2000);
    }

    function showCopyError(button) {
        var originalHtml = button.html();

## Replication Job
To perform replication via batch jobs, you create a job. The job consists of a job description YAML that describes

- Source location from where the objects must be copied from
- Target location from where the objects must be copied to
- Fine grained filtering is available to pick relevant objects from source to copy from

MinIO batch jobs framework also provides

- Retrying a failed job automatically driven by user input