abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing...

    return maxLength;
  }

  abstract void writeBytesToImpl(byte[] dest, int offset, int maxLength);

  /**
   * Returns a mutable view of the underlying bytes for the given {@code HashCode} if it is a
   * byte-based hashcode. Otherwise it returns {@link HashCode#asBytes}. Do <i>not</i> mutate this
   * array or else you will break the immutability contract of {@code HashCode}.
   */
  byte[] getBytesInternal() {
    return asBytes();

    this.executorServiceOrNull = executorService
  }

  internal fun enqueue(call: AsyncCall) {
    this.withLock {
      readyAsyncCalls.add(call)

      // Mutate the AsyncCall so that it shares the AtomicInteger of an existing running call to
      // the same host.
      if (!call.call.forWebSocket) {
        val existingCall = findExistingCallWithHost(call.host)

		SetCount:  -1, // explicitly set an invalid value -1, for bucket heal scenario
	}

	// mutate only if not a dry-run
	if opts.DryRun {
		return res, nil
	}

	for i := range beforeState {
		res.Before.Drives = append(res.Before.Drives, madmin.HealDriveInfo{
			UUID:     "",
			Endpoint: localDrives[i].String(),
			State:    beforeState[i],
		})
	}

		defer l.mutex.Unlock()
		if len(args.UID) == 0 {
			for _, resource := range args.Resources {
				lris, ok := l.lockMap[resource]
				if !ok {
					continue
				}
				// Collect uids, so we don't mutate while we delete
				uids := make([]string, 0, len(lris))
				for _, lri := range lris {
					uids = append(uids, lri.UID)
				}

				// Delete collected uids:
				for _, uid := range uids {

}

// A Header represents a single header in a tar archive.
// Some fields may not be populated.
//
// For forward compatibility, users that retrieve a Header from Reader.Next,
// mutate it in some ways, and then pass it back to Writer.WriteHeader
// should do so by creating a new Header and copying the fields
// that they are interested in preserving.
type Header struct {

			t.Errorf("%d. got error = %v; want %v", i, err, tt.wanterr)
		}
	}
}

func TestReaderAtConcurrent(t *testing.T) {
	// Test for the race detector, to verify ReadAt doesn't mutate
	// any state.
	r := NewReader([]byte("0123456789"))
	var wg sync.WaitGroup
	for i := 0; i < 5; i++ {
		wg.Add(1)
		go func(i int) {
			defer wg.Done()
			var buf [1]byte
			r.ReadAt(buf[:], int64(i))

      return;
    }

    Range<K> coalescedRange = coalescedRange(range, checkNotNull(value));
    put(coalescedRange, value);
  }

  /** Computes the coalesced range for the given range+value - does not mutate the map. */
  private Range<K> coalescedRange(Range<K> range, V value) {
    Range<K> coalescedRange = range;
    Entry<Cut<K>, RangeMapEntry<K, V>> lowerEntry =
        entriesByLowerBound.lowerEntry(range.lowerBound);

		// successfully exited, we NEVER want to identify this pod as broken.
		// If the pod is going to fail, the failure state will show up in
		// LastTerminationState eventually.
		if state := container.State.Terminated; state != nil {
			if state.Reason == "Completed" || state.ExitCode == 0 {
				continue
			}
		}

		// Check the LastTerminationState struct for information about why the container

          }

          @Override
          public String getValue() {
            return holder.string;
          }
        };

    // Add the mutable cell to the builder
    builder.put(mutableCell);

    // Mutate the value
    holder.string = "bar";

    // Make sure it uses the original value.
    assertEquals(ImmutableTable.of('K', 42, "foo"), builder.build());
  }