Response nextResponseMock = mock(Response.class);
        when(mockResponse.getNextResponse()).thenReturn(nextResponseMock);
        assertEquals(nextResponseMock, mockResponse.getNextResponse());

        // Test null next response
        when(mockResponse.getNextResponse()).thenReturn(null);
        assertNull(mockResponse.getNextResponse());

        // Verify the method was called

					done()
					if ok {
						root := cache.find(bucket)
						if root == nil {
							// We dont have usage information for this bucket in this
							// set, go to the next set
							continue
						}

						for id, usageInfo := range cache.flattenChildrens(*root) {
							prefix := decodeDirObject(strings.TrimPrefix(id, bucket+slashSeparator))

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

{* ../../docs_src/extending_openapi/tutorial001.py hl[13:14,25:26] *}

### Override the method { #override-the-method }

Now you can replace the `.openapi()` method with your new function.

    private String service;
    private String nativeFileSystem = "";

    /**
     * Constructs a tree connect AndX response.
     *
     * @param config the configuration to use
     * @param andx the next command in the AndX chain, or null
     */
    public SmbComTreeConnectAndXResponse(final Configuration config, final ServerMessageBlock andx) {
        super(config, andx);
    }

    /**
     * @return the service

                provides.entrySet().iterator();
        while (providesIter.hasNext()) {
            Map.Entry<String, RequirementMatcher> provideEntry = providesIter.next();
            builder.append(provideEntry.getKey()).append(" = ").append(provideEntry.getValue());
            if (providesIter.hasNext()) {
                builder.append(';');
            }
        }

shifts.wb.expect-noinput", "src/compress/flate/testdata/huffman-text-shift.dyn.expect", "src/compress/flate/testdata/huffman-text-shift.dyn.expect-noinput", "src/compress/flate/testdata/huffman-text-shift.golden", "src/compress/flate/testdata/huffman-text-shift.in", "src/compress/flate/testdata/huffman-text-shift.wb.expect", "src/compress/flate/testdata/huffman-text-shift.wb.expect-noinput", "src/compress/flate/testdata/huffman-text.dyn.expect", "src/compress/flate/testdata/huffman-text.dyn.expect-noinput",...

    Set<Entry<K, Collection<V>>> asMapEntrySet = multimap().asMap().entrySet();
    Iterator<Entry<K, Collection<V>>> asMapEntryItr = asMapEntrySet.iterator();
    asMapEntryItr.next();
    asMapEntryItr.remove();
    assertTrue(multimap().isEmpty());
  }

- When you create your backup job, choose the backup repository you created above.

## Test the setup

	var asyncErrMu sync.Mutex
	for {
		if !o.ignoreErrs {
			asyncErrMu.Lock()
			err := asyncErr
			asyncErrMu.Unlock()
			if err != nil {
				return err
			}
		}

		header, err := tarReader.Next()
		switch {
		// if no more files are found return
		case err == io.EOF:
			wg.Wait()
			return asyncErr

		// return any other error
		case err != nil:
			wg.Wait()
			extra := ""

         * @param context the query context containing search parameters and state
         * @param query the Lucene query to be processed
         * @param boost the boost factor to apply to the query
         * @param chain the next filter chain to execute after this filter
         * @return the processed OpenSearch QueryBuilder
         */
        QueryBuilder execute(final QueryContext context, final Query query, final float boost, final FilterChain chain);