.build();
        ActivationOS ao = ActivationOS.newBuilder()
                .arch("arch" + Long.toHexString(entropy.nextLong()))
                .family("family" + Long.toHexString(entropy.nextLong()))
                .name("name" + Long.toHexString(entropy.nextLong()))
                .version("version" + Long.toHexString(entropy.nextLong()))
                .build();

        }

        // Simple heuristic based on data entropy
        // In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

        // Estimate compression ratio based on entropy
        // Lower entropy = better compression
        return 0.3 + (entropy * 0.6); // Range from 30% to 90%
    }

    @Override

            uniqueCounters.add(bytesToHex(counter));
        }

        // All nonces should be unique (high entropy from SecureRandom)
        assertEquals(sampleSize, uniqueCounters.size(), "All nonces should have unique values");

        // Verify that nonces have good entropy (not predictable)
        // With SecureRandom + counter XOR, they should all be different
        Set<String> uniqueNonces = new HashSet<>();

        `tf.initializers = tf.keras.initializers` & `tf.optimizers =
        tf.keras.optimizers`.
    *   Updates binary cross entropy logic in Keras when input is probabilities.
        Instead of converting probabilities to logits, we are using the cross
        entropy formula for probabilities.
    *   Added public APIs for `cumsum` and `cumprod` keras backend functions.

system's random number generator. package drbg import ( entropy "crypto/internal/entropy/v1.0.0" "crypto/internal/fips140" "crypto/internal/sysrand" "io" "sync" "sync/atomic" ) // memory is a scratch buffer that is accessed between samples by the entropy // source to expose it to memory access timings. // // We reuse it and share it between Seed calls to avoid the significant (~500µs) // cost of zeroing a new allocation every time. The entropy source accesses it // using atomics (and doesn't care about...

// At every read, 128 random bits from the operating system are mixed as // additional input, to make the output as strong as non-FIPS randomness. // This is not credited as entropy for FIPS purposes, as allowed by Section // 8.7.2: "Note that a DRBG does not rely on additional input to provide // entropy, even though entropy could be provided in the additional input". additionalInput := new([SeedSize]byte) sysrand.Read(additionalInput[:16]) drbg := drbgs.Get().(*Counter) defer drbgs.Put(drbg) for...

	entry := NewEntry(deploymentID)

	entry.RemoteHost = handlers.GetSourceIP(r)
	entry.UserAgent = r.UserAgent()
	entry.ReqClaims = reqClaims
	entry.ReqHost = r.Host
	entry.ReqPath = r.URL.Path

	q := r.URL.Query()
	reqQuery := make(map[string]string, len(q))
	for k, v := range q {
		reqQuery[k] = strings.Join(v, ",")
	}
	entry.ReqQuery = reqQuery

	reqHeader := make(map[string]string, len(r.Header))

      int expectedEntrySetHash = 0;
      for (Entry<K, V> entry : entrySet) {
        assertTrue(map.containsKey(entry.getKey()));
        assertTrue(map.containsValue(entry.getValue()));
        int expectedHash =
            (entry.getKey() == null ? 0 : entry.getKey().hashCode())
                ^ (entry.getValue() == null ? 0 : entry.getValue().hashCode());
        assertEquals(expectedHash, entry.hashCode());

      int expectedEntrySetHash = 0;
      for (Entry<K, V> entry : entrySet) {
        assertTrue(map.containsKey(entry.getKey()));
        assertTrue(map.containsValue(entry.getValue()));
        int expectedHash =
            (entry.getKey() == null ? 0 : entry.getKey().hashCode())
                ^ (entry.getValue() == null ? 0 : entry.getValue().hashCode());
        assertEquals(expectedHash, entry.hashCode());

  }

  @Override
  protected void expectMissing(Entry<K, V>... entries) {
    for (Entry<K, V> entry : entries) {
      assertFalse("Should not contain entry " + entry, actualContents().contains(entry));
      assertFalse(
          "Should not contain key " + entry.getKey() + " mapped to value " + entry.getValue(),
          equal(getMap().get(entry.getKey()), entry.getValue()));
    }
  }