/**
 * An {@link InputStream} that maintains a hash of the data read from it.
 *
 * @author Qian Huang
 * @since 16.0
 */
@Beta
public final class HashingInputStream extends FilterInputStream {
  private final Hasher hasher;

  /**
   * Creates an input stream that hashes using the given {@link HashFunction} and delegates all data
   * read from it to the underlying {@link InputStream}.
   *

    #  Referring the property 'sequenceDefinitionMap'.
    #
    #; isIncrementSequenceToDataMax = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isSuppressBatchUpdate: (NotRequired - Default false)
    #  Does it suppress batch update at loading data?
    #  When you have a data error, you may get details for the error

	// create bucket.
	err = obj.MakeBucket(b.Context(), bucket, MakeBucketOptions{})
	if err != nil {
		b.Fatal(err)
	}

	// get text data generated for number of bytes equal to object size.
	textData := generateBytesData(objSize)
	// generate md5sum for the generated data.
	// md5sum of the data to written is required as input for PutObject.

	md5hex := getMD5Hash(textData)
	sha256hex := ""

</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,
unless all the accesses involved are atomic data accesses as provided by the <code>sync/atomic</code> package.
As noted already, programmers are strongly encouraged to use appropriate synchronization
to avoid data races.
In the absence of data races, Go programs behave as if all the goroutines

      rm -rf "libc6_2.17-0ubuntu5.1_amd64.deb" "libc6_2.17-0ubuntu5.1_amd64"
  # Download binary glibc 2.17 development library release.
  wget "http://old-releases.ubuntu.com/ubuntu/pool/main/e/eglibc/libc6-dev_2.17-0ubuntu5.1_amd64.deb" && \
      unar "libc6-dev_2.17-0ubuntu5.1_amd64.deb" && \
      tar -C "${TARGET}" -xvzf "libc6-dev_2.17-0ubuntu5.1_amd64/data.tar.gz" && \

                return null;
            }

            data.setContent(EntityUtils.toString(response.getEntity(), Charsets.UTF_8));
            final Header[] headers = response.getAllHeaders();
            for (final Header header : headers) {
                data.putValue(header.getName(), header.getValue());
            }
        } catch (final IOException e) {

        List<Map<String, Object>> docs1 = JsonPath.from(wcResponse1).getList("data");
        for (Map<String, Object> doc : docs1) {
            assertTrue(doc.get(field).toString().toLowerCase().contains(query), doc.toString());
        }
        List<Map<String, Object>> docs2 = JsonPath.from(wcResponse2).getList("data");
        for (Map<String, Object> doc : docs2) {

 * is returned by upstream, or after the upstream source has been exhausted.
 *
 * As bytes are returned from upstream they are written to a local file. Downstream sources read
 * from this file as necessary.
 *
 * This class also keeps a small buffer of bytes recently read from upstream. This is intended to
 * save a small amount of file I/O and data copying.
 */

		t.Fatalf("Failed to read xl meta data %v", reducedErr)
	}

	// Test 1: Test that all disks are returned without any failures with
	// unmodified meta data
	erasureDisks = s.getDisks()
	partsMetadata, errs := readAllFileInfo(ctx, erasureDisks, "", bucket, object, "", false, true)
	if err != nil {
		t.Fatalf("Failed to read xl meta data %v", err)
	}

        } else {
            targetFile = file;
        }
        return targetFile;
    }

    /**
     * Stores response data as a file on the file system.
     *
     * @param responseData the response data to store
     * @param resultData the result data to populate with file information
     * @throws CrawlerSystemException if file storage fails
     */
    @Override