// The number of compression rounds.
  private final int c;
  // The number of finalization rounds.
  private final int d;
  // Two 64-bit keys (represent a single 128-bit key).
  private final long k0;
  private final long k1;

  /**
   * @param c the number of compression rounds (must be positive)
   * @param d the number of finalization rounds (must be positive)

replication_priority            (string)    set replication priority (default: 'auto')
replication_max_workers         (number)    set the maximum number of replication workers (default: '500')
transition_workers              (number)    set the number of transition workers (default: '100')
stale_uploads_expiry            (duration)  set to expire stale multipart uploads older than this values (default: '24h')

   * bulkGet(keys)} with a relative large number of keys can cause an excessive number of shared
   * stripes (much like the birthday paradox, where much fewer than anticipated birthdays are needed
   * for a pair of them to match). Please consider carefully the implications of the number of
   * stripes, the intended concurrency level, and the typical number of keys used in a {@code

  public <N1 extends Number, N2 extends Number, N11 extends N1>
      void testisSupertypeOf_equalWildcardTypes() {
    assertAssignable(
        new TypeToken<List<? extends N1>>() {}, new TypeToken<List<? extends N1>>() {});
    assertAssignable(new TypeToken<List<? super N1>>() {}, new TypeToken<List<? super N1>>() {});
    assertAssignable(
        new TypeToken<List<? extends Number>>() {}, new TypeToken<List<? extends Number>>() {});

		},
		config.HelpKV{
			Key:         BatchSize,
			Description: "Number of events per HTTP send to webhook target",
			Optional:    true,
			Type:        "number",
		},
		config.HelpKV{
			Key:         QueueSize,
			Description: "configure channel queue size for webhook targets",
			Optional:    true,
			Type:        "number",
		},
		config.HelpKV{
			Key:         QueueDir,

  /**
   * Computes the optimal k (number of hashes per element inserted in Bloom filter), given the
   * expected insertions and total number of bits in the Bloom filter.
   *
   * <p>See http://en.wikipedia.org/wiki/File:Bloom_filter_fp_probability.svg for the formula.
   *
   * @param n expected insertions (must be positive)
   * @param m total number of bits in Bloom filter (must be positive)
   */

        val steps = nightlySnapshot.steps.items
        assertEquals(3, steps.size)

        val expectedGradleParams = """-PcommitId=%dep.Gradle_Release_Check_Stage_ReadyforNightly_Trigger.build.vcs.number%  "-PgitUserName=bot-teamcity" "-PgitUserEmail=******@****.***" $pluginPortalUrlOverride %additional.gradle.parameters%"""

        val checkReady = gradleStep(steps, 0)

            
            - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.12`
            - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.11`
            - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.10`
            - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.9`
            

                        ),
                        "price": {"title": "Price", "type": "number"},
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(

                        ),
                        "price": {"title": "Price", "type": "number"},
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(