*   Added utility `tf.keras.utils.to_ordinal` to convert class vector to ordinal regression / classification matrix.

### Bug Fixes and Other Changes

*   N/A

## Security

ers:before{content:"\f0c0"}.fa-users-cog:before{content:"\f509"}.fa-usps:before{content:"\f7e1"}.fa-ussunnah:before{content:"\f407"}.fa-utensil-spoon:before{content:"\f2e5"}.fa-utensils:before{content:"\f2e7"}.fa-vaadin:before{content:"\f408"}.fa-vector-square:before{content:"\f5cb"}.fa-venus:before{content:"\f221"}.fa-venus-double:before{content:"\f226"}.fa-venus-mars:before{content:"\f228"}.fa-viacoin:before{content:"\f237"}.fa-viadeo:before{content:"\f2a9"}.fa-viadeo-square:before{content:"\f...

                Map.of("_default", List.of("QUERY1")), //
                Set.of("QUERY1"), //

		{math.MaxInt64, 12, true},
		{0, 12, true},
		{math.MinInt64, 12, true},
	}

	for _, v := range vectors {
		ok := fitsInBase256(v.width, v.in)
		if ok != v.ok {
			t.Errorf("fitsInBase256(%d, %d): got %v, want %v", v.in, v.width, ok, v.ok)
		}
	}
}

func TestParseNumeric(t *testing.T) {
	vectors := []struct {
		in   string
		want int64
		ok   bool
	}{
		// Test base-256 (binary) encoded values.

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import static java.util.Comparator.comparing;

/**
 * Builds the {@link ProjectDependencyGraph inter-dependencies graph} between projects in the reactor.
 */
@Named(GraphBuilder.HINT)
@Singleton
public class DefaultGraphBuilder implements GraphBuilder {
    private static final Logger LOGGER = LoggerFactory.getLogger(DefaultGraphBuilder.class);

        sink.writeUtf8("-------\n");
        for (int i = 2; i <= 997; i++) {
          sink.writeUtf8(String.format(" * %s = %s\n", i, factor(i)));
        }
      }

      private String factor(int n) {
        for (int i = 2; i < n; i++) {
          int x = n / i;
          if (x * i == n) return factor(x) + " × " + i;
        }
        return Integer.toString(n);
      }
    };

    Request request = new Request.Builder()

          sink.writeUtf8("-------\n")
          for (i in 2..997) {
            sink.writeUtf8(String.format(" * $i = ${factor(i)}\n"))
          }
        }

        private fun factor(n: Int): String {
          for (i in 2 until n) {
            val x = n / i
            if (x * i == n) return "${factor(x)} × $i"
          }
          return n.toString()
        }
      }

    val request =
      Request(

            .firstOrNull { ktCtor ->
                val sameName = ktCtor.containingClassOrObject?.fqName?.asString() == classFqName
                val sameParamCount = ktCtor.valueParameters.size == ctorParamTypes.size
                val sameParamTypes = sameParamCount && ctorParamTypes.mapIndexed { idx, paramType -> paramType.endsWith(ktCtor.valueParameters[idx].typeReference!!.text) }.all { it }

    BaseEncoding separated = base64().withSeparator("\n", 3);
    assertThrows(UnsupportedOperationException.class, () -> separated.withSeparator("$", 4));
  }

  public void testBase64() {
    // The following test vectors are specified in RFC 4648 itself
    testEncodingWithSeparators(base64(), "", "");
    testEncodingWithSeparators(base64(), "f", "Zg==");
    testEncodingWithSeparators(base64(), "fo", "Zm8=");

    /**
     * Get the model from the reactor based on the groupId and artifactId when resolving reactor dependencies.
     *
     * @param from    the requiring model
     * @param groupId    the groupId
     * @param artifactId the artifactId
     * @return the model, otherwise {@code null}
     * @throws IllegalStateException if multiple versions of the same GA are part of the reactor
     */