$table-cell-vertical-align;\n  border-color: var(--#{$prefix}table-border-color);\n\n  // Target th & td\n  // We need the child combinator to prevent styles leaking to nested tables which doesn't have a `.table` class.\n  // We use the universal selectors here to simplify the selector (else we would need 6 different selectors).\n  // Another advantage is that this generates less code and makes the selector less specific making it easier to override.\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption)...

     * <code>getRequestingException</code> methods.
     * If this method returns <code>null</code> the <code>SmbAuthException</code> that triggered the authenticator check will
     * simply be rethrown. The default implementation returns <code>null</code>.
     * @return the authentication credentials or null if none available
     */
    protected NtlmPasswordAuthenticator getNtlmPasswordAuthentication() {

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 |

//// 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 }

        // 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() {

        // The elements in the list are so small that they can't even be divided into {expectedBucketNumber}.
        // For example, how do you split [0,0,0,0,0] into 3 buckets?
        // In this case, we simply put the elements into these buckets evenly.
        return list.chunked(list.size / expectedBucketNumber, smallElementAggregateFunction)
    }

    val largestElement = list.removeFirst()!!

  /**
   * 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

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`.

            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 \