# 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.

    * `File()`

* The new parameter fields are:

    * `default_factory`
    * `alias_priority`
    * `validation_alias`
    * `serialization_alias`
    * `discriminator`
    * `strict`
    * `multiple_of`
    * `allow_inf_nan`
    * `max_digits`
    * `decimal_places`
    * `json_schema_extra`

...you can read about them in the Pydantic docs.

    /**
     * Get the value for the key 'cookie.search.parameter.same_site'. <br>
     * The value is, e.g. Lax <br>
     * comment: SameSite attribute for the search parameter cookie. Valid values: Lax, Strict, None
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getCookieSearchParameterSameSite();

    /**

- `RequestedToCapacityRatioArgs` encoding is now strict ([#91603](https://github.com/kubernetes/kubernetes/pull/91603), [@pancernik](https://github.com/pancernik)) [SIG Scheduling]

EXEMPLARY, OR // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR // BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, // WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE // OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, // EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // See FIPS 197 for specification, and see Daemen and Rijmen's Rijndael submission...