* equality for both keys and values. This may not be the desired behavior for map implementations
 * that use non-standard notions of key equality, such as a {@code SortedMap} whose comparator is
 * not consistent with {@code equals}.
 *
 * <p>The {@code standard} methods and the collection views they return are not guaranteed to be
 * thread-safe, even when all of the methods that they depend on are thread-safe.
 *

**If MinIO distributed setup is using NFS volumes underneath it is not guaranteed MinIO will provide these consistency guarantees since NFS is not strictly consistent (If you must use NFS we recommend that you at least use NFSv4 instead of NFSv3 for relatively better outcomes).**

## Get started

				// number of items than number of online disks.
				inconsistent++
				continue
			}
			if meta.Erasure.Distribution[i] != meta.Erasure.Index {
				// Mismatch indexes with distribution order
				inconsistent++
			}
		}
	}

	erasureDistributionReliable := inconsistent <= len(partsMetadata)/2

	metaErrs := make([]error, len(errs))

	for i := range onlineDisks {

   * use the copy.
   *
   * <p><b>Warning:</b> {@code predicate} must be <i>consistent with equals</i>, as documented at
   * {@link Predicate#apply}. Do not provide a predicate such as {@code
   * Predicates.instanceOf(ArrayList.class)}, which is inconsistent with equals. (See {@link
   * Iterables#filter(Iterable, Class)} for related functionality.)
   *

                    Thread.currentThread().interrupt();
                    fail("Thread interrupted");
                }
            }

            // Verify all results are consistent
            for (String result : results) {
                assertEquals("thread-test", result);
            }

        } finally {
            // Restore original value

    writeOrCountBytes(sink, false)
  }

  /**
   * Either writes this request to [sink] or measures its content length. We have one method do
   * double-duty to make sure the counting and content are consistent, particularly when it comes
   * to awkward operations like measuring the encoded length of header strings, or the
   * length-in-digits of an encoded integer.
   */
  @Throws(IOException::class)

 * equality for both keys and values. This may not be the desired behavior for map implementations
 * that use non-standard notions of key equality, such as a {@code SortedMap} whose comparator is
 * not consistent with {@code equals}.
 *
 * <p>The {@code standard} methods and the collection views they return are not guaranteed to be
 * thread-safe, even when all of the methods that they depend on are thread-safe.
 *

        // Act
        byte[] viaHash = NtlmUtil.nTOWFv2(domain, user, NtlmUtil.getNTHash(password));
        byte[] viaPassword = NtlmUtil.nTOWFv2(domain, user, password);

        // Assert: overloads consistent
        assertArrayEquals(viaHash, viaPassword, "Both overloads must compute same NTLMv2 key");

        // Changing domain should change the key (domain is part of MAC input)

		ret.FieldsPerRecord = -1
		// If LazyQuotes is true, a quote may appear in an unquoted field and a
		// non-doubled quote may appear in a quoted field.
		ret.LazyQuotes = true
		// We do not trim leading space to keep consistent with s3.
		ret.TrimLeadingSpace = false
		ret.ReuseRecord = true
		return ret
	}

	return r, r.startReaders(newCsvReader)

  /**
   * Returns a view of the entries stored in this cache as a thread-safe map. Modifications made to
   * the map directly affect the cache.
   *
   * <p>Iterators from the returned map are at least <i>weakly consistent</i>: they are safe for
   * concurrent use, but if the cache is modified (including by eviction) after the iterator is
   * created, it is undefined which of the changes (if any) will be reflected in that iterator.
   *