const char* output_name,
                                                TF_Status* status);

// Execute the operation defined by 'op' and return handles to computed
// tensors in `retvals`.
//
// 'retvals' must point to a pre-allocated array of TFE_TensorHandle* and
// '*num_retvals' should be set to the size of this array. It is an error if

    int approxSize = IntMath.divide(n * IntMath.log2(n, CEILING), Long.SIZE, CEILING);
    ArrayList<BigInteger> bignums = new ArrayList<>(approxSize);

    // Start from the pre-computed maximum long factorial.
    int startingNumber = LongMath.factorials.length;
    long product = LongMath.factorials[startingNumber - 1];
    // Strip off 2s from this value.

	}

	// Now, we read the payload and compute its SHA-256 hash.
	_, err = io.ReadFull(cr.reader, cr.buffer)
	if err == io.EOF && size != 0 {
		err = io.ErrUnexpectedEOF
	}
	if err != nil && err != io.EOF {
		cr.err = err
		return n, cr.err
	}

	// Once we have read the entire chunk successfully, we verify
	// that the received signature matches our computed signature.
	cr.chunkSHA256Writer.Write(cr.buffer)

 *
 * <h3>Examples</h3>
 *
 * <p>To compute the median:
 *
 * {@snippet :
 * double myMedian = median().compute(myDataset);
 * }
 *
 * where {@link #median()} has been statically imported.
 *
 * <p>To compute the 99th percentile:
 *
 * {@snippet :
 * double myPercentile99 = percentiles().index(99).compute(myDataset);
 * }
 *

  }

  public void testHashCodeForBooleanOperations() {
    Predicate<@Nullable Integer> p1 = Predicates.isNull();
    Predicate<@Nullable Integer> p2 = isOdd();

    // Make sure that hash codes are not computed per-instance.
    assertEqualHashCode(Predicates.not(p1), Predicates.not(p1));

    assertEqualHashCode(Predicates.and(p1, p2), Predicates.and(p1, p2));

import java.util.stream.LongStream;
import org.jspecify.annotations.Nullable;

/**
 * A bundle of statistical summary values -- sum, count, mean/average, min and max, and several
 * forms of variance -- that were computed from a single set of zero or more floating-point values.
 *
 * <p>There are two ways to obtain a {@code Stats} instance:
 *
 * <ul>

            return null;
        }
        return getLMv2Response(tc, type2, domain, user, NtlmUtil.getNTHash(password), clientChallenge);
    }

    /**
     * Calculates the LMv2 response using a pre-computed NT password hash.
     *
     * @param tc the CIFS context
     * @param type2 the Type-2 message containing the server challenge
     * @param domain the domain name
     * @param user the username

      /** Iterate a copy of the entries to defend against concurrent modification errors. */
      private val delegate = ArrayList(lruEntries.values).iterator()

      /** The snapshot to return from [next]. Null if we haven't computed that yet. */
      private var nextSnapshot: Snapshot? = null

      /** The snapshot to remove with [remove]. Null if removal is illegal. */
      private var removeSnapshot: Snapshot? = null

    default Map<String, String> getEffectiveProperties() {
        return getEffectiveProperties(null);
    }

    /**
     * Each invocation computes a new map of effective properties. To be used in interpolation.
     * <p>
     * Effective properties are computed from system, user and optionally project properties, layered with
     * defined precedence onto each other to achieve proper precedence. Precedence is defined as:

	StoppedAt       time.Time         `msg:"stopTs"` // Time when rebalance-stop was issued.
	ID              string            `msg:"id"`     // ID of the ongoing rebalance operation
	PercentFreeGoal float64           `msg:"pf"`     // Computed from total free space and capacity at the start of rebalance
	PoolStats       []*rebalanceStats `msg:"rss"`    // Per-pool rebalance stats keyed by pool index
}