let summary = [{
Outputs deterministic pseudorandom random integers from a uniform distribution.
  }];

  let description = [{
The generated values are uniform integers covering the whole range of `dtype`.

The outputs are a deterministic function of `shape` and `seed`.
  }];

  let arguments = (ins
    Arg<TF_I32OrI64Tensor, [{The shape of the output tensor.}]>:$shape,

        slowly converting XYZDataset to DatasetV2 type which is the official
        version going to be used in TF 2.0 and motivated by some compatibility
        issue found, _BigtableXYZDataset (of type DatasetV2) does not implement
        the _as_variant_tensor() of DatasetV1, when moving contrib.bigtable to
        tensorflow_io. Converting into DatasetV2 removes the overheads to

                  namespace for a "producer" route, or the mesh implementation must support
                  and allow "consumer" routes for the referenced Service. ReferenceGrant is
                  not applicable for governing ParentRefs to Services - it is not possible to
                  create a "producer" route for a Service in a different namespace from the
                  Route.

distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

package validation

import (
	"bytes"
	"fmt"
	"math"
	"reflect"
	"runtime"
	"strings"
	"testing"
	"time"

269D          ; valid                  ;      ; NV8    # 5.1  OUTLINED WHITE STAR
269E..269F    ; valid                  ;      ; NV8    # 5.2  THREE LINES CONVERGING RIGHT..THREE LINES CONVERGING LEFT
26A0..26A1    ; valid                  ;      ; NV8    # 4.0  WARNING SIGN..HIGH VOLTAGE SIGN
26A2..26B1    ; valid                  ;      ; NV8    # 4.1  DOUBLED FEMALE SIGN..FUNERAL URN