.testEquals();
  }

  private static class Container<T> {
    @SuppressWarnings("unused")
    public Container(T data) {}
  }

  public <T extends Container<String>> void testConstructor_parameterTypes()
      throws NoSuchMethodException {
    @SuppressWarnings("rawtypes") // Reflection API skew

  - PriorityClass resources will no longer be served from `scheduling.k8s.io/v1beta1` and `scheduling.k8s.io/v1alpha1` in v1.17. Migrate to the `scheduling.k8s.io/v1` API, available since v1.14. Existing persisted data can be retrieved via the `scheduling.k8s.io/v1` API.

,.sidebar-collapse .sidebar-search-results{display:none}[data-widget=sidebar-search] input[type=search]::-ms-clear,[data-widget=sidebar-search] input[type=search]::-ms-reveal{display:none;width:0;height:0}[data-widget=sidebar-search] input[type=search]::-webkit-search-cancel-button,[data-widget=sidebar-search] input[type=search]::-webkit-search-decoration,[data-widget=sidebar-search] input[type=search]::-webkit-search-results-button,[data-widget=sidebar-search] input[type=search]::-webkit-search...

A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 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...

primarily for client-side validation via scoped `:invalid` and `:valid`\n// pseudo-classes but also includes `.is-invalid` and `.is-valid` classes for\n// server side validation.\n\n@each $state, $data in $form-validation-states {\n  @include form-validation-state($state, map-get($data, color), map-get($data, icon));\n}\n\n// Inline forms\n//\n// Make forms appear inline(-block) by adding the `.form-inline` class. Inline\n// forms begin stacked on extra small (mobile) devices and then go inline when\n//...

*   `tf.data`:
    *   Graduated experimental APIs:
        * [`tf.data.Dataset.ragged_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ragged_batch), which batches elements of `tf.data.Dataset`s into `tf.RaggedTensor`s.
        * [`tf.data.Dataset.sparse_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#sparse_batch), which batches elements of `tf.data.Dataset`s into `tf.sparse.SparseTensor`s.