two parity drives, 100 MiB file takes only approximately 114 MiB.

Below is a list of data/parity drives and corresponding _approximate_ storage space usage on a 16 drive MinIO deployment. The field _storage
usage ratio_ is simply the drive space used by the file after erasure-encoding, divided by actual file size.

| Total Drives (N) | Data Drives (D) | Parity Drives (P) | Storage Usage Ratio |

        // Scenario: DFS is disabled.
        when(mockConfig.isDfsDisabled()).thenReturn(true);
        DfsReferralDataInternal mockReferral = mock(DfsReferralDataInternal.class);
        // Should not throw any exception and simply return.
        assertDoesNotThrow(() -> dfsImpl.cache(mockContext, "\\\\server\\share\\path", mockReferral));
    }

    @Test
    void testCache_InvalidPath() {

//// tab | Annotated

```Python
q: Annotated[str | None, Query(min_length=3)] = None
```

////

So, when you need to declare a value as required while using `Query`, you can simply not declare a default value:

{* ../../docs_src/query_params_str_validations/tutorial006_an_py39.py hl[9] *}

### Required, can be `None` { #required-can-be-none }

  /**
   * This is invoked for the last bytes of the input, which are not enough to fill a whole chunk.
   * The passed {@code ByteBuffer} is guaranteed to be non-empty.
   *
   * <p>This implementation simply pads with zeros and delegates to {@link #process(ByteBuffer)}.
   */
  protected void processRemaining(ByteBuffer bb) {
    Java8Compatibility.position(bb, bb.limit()); // move at the end

            assertEquals("file.txt", loc.getName());
            assertEquals("smb://server/share/path/", loc.getParent());
            assertEquals(url, loc.getPath());
            // canonicalisation simply removes '.' and '..'
            assertEquals("smb://server/share/path/filetxt", loc.getCanonicalURL());
            assertFalse(loc.isRoot());
        }
    }

    @Nested

MinIO needs a persistent volume to store configuration and application data. For testing purposes, you can launch MinIO by simply passing a directory (`/data` in the example below). This directory gets created in the container filesystem at the time of container start. But all the data is lost after container exits.

```sh
docker run \
  -p 9000:9000 \

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

{* ../../docs_src/dataclasses/tutorial003.py hl[1,5,8:11,14:17,23:25,28] *}

1. We still import `field` from standard `dataclasses`.

            }

            final Smb2QueryDirectoryResponse qr = query.getResponse();

            if (qr != null && qr.isReceived() && qr.getStatus() == NtStatus.NT_STATUS_NO_SUCH_FILE) {
                // this simply indicates an empty listing
                doClose();
                return null;
            }

            throw e;
        }
        this.fileId = createResp.getFileId();

But if you need to access variables and objects from the same **FastAPI** app, or you need to perform small background tasks (like sending an email notification), you can simply just use `BackgroundTasks`.

## Recap { #recap }

     * (if applicable). This process will essentially remove duplicate repositories by merging them into one equivalent
     * repository. It is worth to point out that merging does not simply choose one of the input repositories and
     * discards the others but actually combines their possibly different policies.
     *
     * @param repositories The original repositories, may be {@code null}.