@Override
        public V computeIfPresent(K key, BiFunction<? super K, ? super V, ? extends V> remappingFunction) {
            throw uoe();
        }

        @Override
        public V compute(K key, BiFunction<? super K, ? super V, ? extends V> remappingFunction) {
            throw uoe();
        }

        @Override

    long c = seedA;
    seedA += part2;
    seedA += part3;
    seedB += rotateRight(seedA, 23);
    output[0] = seedA + part4;
    output[1] = seedB + c;
  }

  /*
   * Compute an 8-byte hash of a byte array of length greater than 64 bytes.
   */
  private static long fullFingerprint(byte[] bytes, int offset, int length) {
    // For lengths over 64 bytes we hash the end first, and then as we

		}

		left -= read
		if !bytes.Equal(h.Sum(nil), hashBuf[:n]) {
			return errFileCorrupt
		}
	}
	return nil
}

// bitrotSelfTest performs a self-test to ensure that bitrot
// algorithms compute correct checksums. If any algorithm
// produces an incorrect checksum it fails with a hard error.
//
// bitrotSelfTest tries to catch any issue in the bitrot implementation
// early instead of silently corrupting data.

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.nio.ByteBuffer;
import java.nio.charset.Charset;
import org.jspecify.annotations.Nullable;

/**
 * A {@link PrimitiveSink} that can compute a hash code after reading the input. Each hasher should
 * translate all multibyte values ({@link #putInt(int)}, {@link #putLong(long)}, etc) to bytes in
 * little-endian order.
 *

      eachQueue@ for (queue in readyQueues) {
        val candidate = queue.futureTasks[0]
        val candidateDelay = maxOf(0L, candidate.nextExecuteNanoTime - now)

        when {
          // Compute the delay of the soonest-executable task.
          candidateDelay > 0L -> {
            minDelayNanos = minOf(candidateDelay, minDelayNanos)
            continue@eachQueue
          }

   *       CacheLoader#loadAll bulk loading implementations}
   * </ul>
   *
   * <p><b>Warning:</b> For any given key, every {@code loader} used with it should compute the same
   * value. Otherwise, a call that passes one {@code loader} may return the result of another call
   * with a differently behaving {@code loader}. For example, a call that requests a short timeout

// decrypted object stream, we need to read the range (encOff,
// encLength) of the encrypted object stream to decrypt it, and
// compute skipLen, the number of bytes to skip in the beginning of
// the encrypted range.
//
// In addition we also compute the object part number for where the
// requested range starts, along with the DARE sequence number within
// that part. For single part objects, the partStart will be 0.

build:cuda_clang --copt=-Qunused-arguments
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current

   * is running when that time is reached, that task is allowed to complete before this task is
   * started. Similarly the task will be delayed if the host lacks compute resources.
   *
   * @throws RejectedExecutionException if the queue is shut down and the task is not cancelable.
   */
  fun schedule(
    task: Task,
    delayNanos: Long = 0L,
  ) {
    taskRunner.withLock {

	endShard := (startOffset + length) / e.blockSize
	tillOffset := min(endShard*shardSize+shardSize, shardFileSize)
	return tillOffset
}

// erasureSelfTest performs a self-test to ensure that erasure
// algorithms compute expected erasure codes. If any algorithm
// produces an incorrect value it fails with a hard error.
//
// erasureSelfTest tries to catch any issue in the erasure implementation
// early instead of silently corrupting data.