}

	contentTypeHdr := req.Header.Get("Content-Type")
	contentTypeHdr = strings.Replace(contentTypeHdr, "multipart/form-data", "multipart/form-datA", 1)
	req.Header.Set("Content-Type", contentTypeHdr)
	req.Header.Set("User-Agent", "Mozilla")

	// Since `apiRouter` satisfies `http.Handler` it has a ServeHTTP to execute the logic of the handler.

    }
    File file = out.getFile();
    assertNull(file);

    // Write data to go over the threshold
    if (chunk2 > 0) {
      if (JAVA_IO_TMPDIR.value().equals("/sdcard")) {
        assertThrows(IOException.class, () -> write(out, data, chunk1, chunk2, singleByte));
        return;
      }
      write(out, data, chunk1, chunk2, singleByte);
      file = out.getFile();

      type: "get",
      timeoutNumber: 10000,
      url: contextPath + "/api/v1/favorites",
      data: {
        queryId: $queryId.val()
      }
    })
      .done(function(data) {
        var docIds,
            i;
        if (data.record_count > 0) {
          docIds = data.data;
          for (i = 0; i < docIds.length; i++) {
            docIds[i] = "#" + docIds[i].doc_id;
          }

12 drive setup, an object can be sharded to a variable number of data and parity blocks across all the drives - ranging from six data and six parity blocks to ten data and two parity blocks.

By default, MinIO shards the objects across N/2 data and N/2 parity drives. Though, you can use [storage classes](https://github.com/minio/minio/tree/master/docs/erasure/storage-class) to use a custom configuration. We recommend N/2 data and parity blocks, as it ensures the best protection from drive failures....

/**
 * 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}.
   *

/**
 * The search form for Data Config.
 */
public class SearchForm {

    /**
     * Default constructor for SearchForm.
     */
    public SearchForm() {
    }

    /**
     * The name field for searching data configurations.
     */
    public String name;

    /**
     * The handler name field for searching data configurations.
     */
    public String handlerName;

	// 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 := ""

    /**
     * Encrypts the given data.
     *
     * @param data
     *            the data to encrypt
     * @return the encrypted data
     */
    public byte[] encrypto(final byte[] data) {
        final Cipher cipher = pollEncryptoCipher();
        byte[] encrypted;
        try {
            encrypted = cipher.doFinal(data);
        } catch (final IllegalBlockSizeException e) {

                                            <c:forEach var="data" varStatus="s"
                                                       items="${webConfigItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/webconfig/details/4/${f:u(data.id)}">
                                                    <td>${f:h(data.name)}</td>

</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