*
     * @param input the input object (String[], List, or String)
     * @return joined string with elements separated by spaces, or empty string if invalid input
     */
    public static String join(final Object input) {
        String[] values = null;
        if (input instanceof String[]) {
            values = (String[]) input;
        } else if (input instanceof List) {

func (r *Reader) Close() error {
	// Close the input.
	// Potentially racy if the stream decoder is still reading.
	if r.readCloser != nil {
		r.readCloser.Close()
	}
	if r.exitReader != nil {
		close(r.exitReader)
		r.readerWg.Wait()
		r.exitReader = nil
		r.input = nil
	}
	return nil
}

// startReader will start a reader that accepts input from r.input.

				<la:form styleId="updatePassword" method="post">
					<div class="input-group mb-3">
						<c:set var="ph_old_password">
							<la:message key="labels.profile.placeholder_old_password" />
						</c:set>
						<la:password property="oldPassword" class="form-control"
									 placeholder="${ph_old_password}" />
						<div class="input-group-append">
							<span class="input-group-text"><i class="fa fa-lock fa-fw" aria-hidden="true"></i></span>

    checkNotNull(keyFunction);
    checkNotNull(valuesFunction);
    return collectingAndThen(
        flatteningToMultimap(
            input -> checkNotNull(keyFunction.apply(input)),
            input -> valuesFunction.apply(input).peek(Preconditions::checkNotNull),
            MultimapBuilder.linkedHashKeys().arrayListValues()::<K, V>build),
        ImmutableListMultimap::copyOf);
  }

    checkNotNull(keyFunction);
    checkNotNull(valuesFunction);
    return collectingAndThen(
        flatteningToMultimap(
            input -> checkNotNull(keyFunction.apply(input)),
            input -> valuesFunction.apply(input).peek(Preconditions::checkNotNull),
            MultimapBuilder.linkedHashKeys().arrayListValues()::<K, V>build),
        ImmutableListMultimap::copyOf);
  }

    AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
    absl::Span<AbstractTensorHandle*> outputs) {
  Tape tape(/*persistent=*/false);
  tape.Watch(inputs[0]);
  AbstractTensorHandle* neg_output;
  TF_RETURN_IF_ERROR(ops::Neg(ctx, inputs[0], &neg_output, "Neg"));
  tape.RecordOperation(inputs, {neg_output}, nullptr, "Neg");
  return tape.ComputeGradient(ctx,

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input { #model-for-input }

If you use this model as an input like here:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

public class DefaultSettingsReader implements SettingsReader {

    @Override
    public Settings read(File input, Map<String, ?> options) throws IOException {
        Objects.requireNonNull(input, "input cannot be null");

        try (InputStream in = Files.newInputStream(input.toPath())) {
            InputSource source = InputSource.of(input.toString());
            return new Settings(new SettingsStaxReader().read(in, isStrict(options), source));

        verify(cache, never()).resolveSids0(any(), any(), any());
    }

    @Test
    @DisplayName("resolveSids(CIFSContext,server,sids,offset,length) throws on invalid inputs")
    void resolveSids_invalidInputs() throws Exception {
        SIDCacheImpl cache = new SIDCacheImpl(mock(CIFSContext.class));
        CIFSContext ctx = mock(CIFSContext.class);

        // Null sids array -> NPE

    @Override
    public Metadata read(File input, Map<String, ?> options) throws IOException {
        Objects.requireNonNull(input, "input cannot be null");

        return read(Files.newInputStream(input.toPath()), options);
    }

    @Override
    public Metadata read(Reader input, Map<String, ?> options) throws IOException {
        Objects.requireNonNull(input, "input cannot be null");

        try (Reader in = input) {