healFinishedStatus                     = "finished"
)

const (
	// a heal sequence with this many un-consumed heal result
	// items blocks until heal-status consumption resumes or is
	// aborted due to timeout.
	maxUnconsumedHealResultItems = 1000

	// if no heal-results are consumed (via the heal-status API)
	// for this timeout duration, the heal sequence is aborted.
	healUnconsumedTimeout = 24 * time.Hour

	}

	if isLit {
		p.output = append(p.output, tabwriter.Escape)
	}

	p.last = p.pos
}

// writeCommentPrefix writes the whitespace before a comment.
// If there is any pending whitespace, it consumes as much of
// it as is likely to help position the comment nicely.
// pos is the comment position, next the position of the item
// after all pending comments, prev is the previous comment in

			return 0, errors.New("time: invalid duration " + quote(orig))
		}
		// Consume [0-9]*
		pl := len(s)
		v, s, err = leadingInt(s)
		if err != nil {
			return 0, errors.New("time: invalid duration " + quote(orig))
		}
		pre := pl != len(s) // whether we consumed anything before a period

		// Consume (\.[0-9]*)?
		post := false
		if s != "" && s[0] == '.' {
			s = s[1:]
			pl := len(s)

If one task produces an output in a location and another task consumes that location by referring to it as an input, then Gradle checks that the consumer task depends on the producer task.
When the producer and the consumer tasks are executing at the same time, the build fails to avoid capturing an incorrect state.

// pollDesc contains 2 binary semaphores, rg and wg, to park reader and writer
// goroutines respectively. The semaphore can be in the following states:
//
//	pdReady - io readiness notification is pending;
//	          a goroutine consumes the notification by changing the state to pdNil.
//	pdWait - a goroutine prepares to park on the semaphore, but not yet parked;
//	         the goroutine commits to park by changing the state to G pointer,

// still compiled on host.
std::unique_ptr<OperationPass<func::FuncOp>>
CreateExtractTPUCopyWithDynamicShapeOpPass();

// Creates a pass that wraps ReadVariableOp/AssignVariable op that consumes a
// packed tensor to have same device placement as underlying TPU device.
std::unique_ptr<OperationPass<func::FuncOp>>
CreateTPUColocateCompositeResourceOps();

	// Start with the record hash.
	hashes := []Hash{h}

	// Build list of indexes needed for hashes for completed subtrees.
	// Each trailing 1 bit in the binary representation of n completes a subtree
	// and consumes a hash from an adjacent subtree.
	m := int(bits.TrailingZeros64(uint64(n + 1)))
	indexes := make([]int64, m)
	for i := 0; i < m; i++ {
		// We arrange indexes in sorted order.
		// Note that n>>i is always odd.

}

// hasOverflow reports whether b has any overflow records pending.
func (b *profBuf) hasOverflow() bool {
	return uint32(b.overflow.Load()) > 0
}

// takeOverflow consumes the pending overflow records, returning the overflow count
// and the time of the first overflow.
// When called by the reader, it is racing against incrementOverflow.

  }

  // Get the function on device.
  auto device_func = cluster_func->getFuncOp();
  if (!device_func) return;

  TF::Conv2DOp first_conv;
  // A map maps block argument id to the convolutions consumes them.
  llvm::SmallDenseMap<unsigned, std::vector<Conv2DWithBlockSize>>
      argnum_and_convolutions;
  // A map maps block argument id to the number of users.
  llvm::SmallDenseMap<unsigned, int> argnum_num_users;

	for i := 0; i < len(prefix); i++ {
		if i >= len(in.remaining) || in.remaining[i] != prefix[i] {
			return false
		}
	}
	return true
}

// readRune consumes and returns the next rune in the input.
func (in *input) readRune() int {
	if len(in.remaining) == 0 {
		in.Error("internal lexer error: readRune at EOF")
	}
	r, size := utf8.DecodeRune(in.remaining)