# Release 2.5.0

## Major Features and Improvements

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.

    /**
     *
     * @param reader a reader object.
     * @param strict a strict object.
     * @throws IOException IOException if any.
     * @throws XmlPullParserException XmlPullParserException if
     * any.
     * @return Model
     */
    public Model read(Reader reader, boolean strict) throws IOException, XmlPullParserException {
        return read(reader, strict, null);
    } // -- Model read( Reader, boolean )

    /**

            return new Metadata(new MetadataStaxReader().read(in, isStrict(options)));
        } catch (XMLStreamException e) {
            throw new MetadataParseException(
                    e.getMessage(),
                    e.getLocation().getLineNumber(),
                    e.getLocation().getColumnNumber(),
                    e);
        }
    }

    private boolean isStrict(Map<String, ?> options) {

     * @param reader a reader object.
     * @param strict a strict object.
     * @throws IOException IOException if any.
     * @throws XmlPullParserException XmlPullParserException if
     * any.
     * @return Settings
     */
    public Settings read(Reader reader, boolean strict) throws IOException, XmlPullParserException {
        try {
            return new Settings(delegate.read(reader, strict, null));
        } catch (XMLStreamException e) {

			if stmt.Schema != nil && len(values.Columns) >= 1 {
				selectColumns, restricted := stmt.SelectAndOmitColumns(true, true)

				columns := make([]string, 0, len(values.Columns)-1)
				for _, column := range values.Columns {
					if field := stmt.Schema.LookUpField(column.Name); field != nil {
						if v, ok := selectColumns[field.DBName]; (ok && v) || (!ok && !restricted) {

    }

    @Nonnull
    default T read(@Nonnull Reader reader) throws XmlReaderException {
        return read(reader, true);
    }

    @Nonnull
    default T read(@Nonnull Reader reader, boolean strict) throws XmlReaderException {
        return read(XmlReaderRequest.builder().reader(reader).strict(strict).build());
    }

    @Nonnull

// not a valid textual representation of an ETag.
func Parse(s string) (ETag, error) {
	const strict = false
	return parse(s, strict)
}

// parse parse s as an S3 ETag, returning the result.
// It operates in one of two modes:
//   - strict
//   - non-strict
//
// In strict mode, parse only accepts ETags that
// are AWS S3 compatible. In particular, an AWS

* kubectl: add the --no-headers flag to `kubectl top ...` ([#67890](https://github.com/kubernetes/kubernetes/pull/67890), [@WanLinghao](https://github.com/WanLinghao))
* Restrict redirect following from the apiserver to same-host redirects, and ignore redirects in some cases. ([#66516](https://github.com/kubernetes/kubernetes/pull/66516), [@tallclair](https://github.com/tallclair))

            if (inputStream != null) {
                return xml.read(inputStream, request.isStrict());
            } else if (reader != null) {
                return xml.read(reader, request.isStrict());
            } else if (path != null) {
                try (InputStream is = Files.newInputStream(path)) {
                    return xml.read(is, request.isStrict());
                }
            } else {

                "{\"bool\":{\"should\":[{\"geo_distance\":{\"location\":[151.0,35.0],\"distance\":1000.0,\"distance_type\":\"arc\",\"validation_method\":\"STRICT\",\"ignore_unmapped\":false,\"boost\":1.0}},{\"geo_distance\":{\"location\":[150.0,34.0],\"distance\":10000.0,\"distance_type\":\"arc\",\"validation_method\":\"STRICT\",\"ignore_unmapped\":false,\"boost\":1.0}}],\"adjust_pure_negative\":true,\"boost\":1.0}}";