// Copyright 2015 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Register allocation.
//
// We use a version of a linear scan register allocator. We treat the
// whole function as a single long basic block and run through
// it using a greedy register allocator. Then all merge edges
// (those targeting a block with len(Preds)>1) are processed to

	for _, errStr := range splitOutput(out, false) {
		errFile, rest, ok := strings.Cut(errStr, ":")
		if !ok || errFile != file {
			continue
		}
		lineStr, msg, ok := strings.Cut(rest, ":")
		if !ok {
			continue
		}
		line, err := strconv.Atoi(lineStr)
		line--
		if err != nil || line < 0 || line >= len(lines) {
			continue
		}

// (100 by default). If GOGC=100 and we're using 4M, we'll GC again when we get to 8M
// (this mark is computed by the gcController.heapGoal method). This keeps the GC cost in
// linear proportion to the allocation cost. Adjusting GOGC just changes the linear constant
// (and also the amount of extra memory used).

// Oblets
//
// In order to prevent long pauses while scanning large objects and to

	// iOS versions.
	// TODO(mknyszek): Once iOS <14 is deprecated, promote ios/arm64
	// to a 48-bit address space like every other arm64 platform.
	//
	// WebAssembly currently has a limit of 4GB linear memory.
	heapAddrBits = (_64bit*(1-goarch.IsWasm)*(1-goos.IsIos*goarch.IsArm64))*48 + (1-_64bit+goarch.IsWasm)*(32-(goarch.IsMips+goarch.IsMipsle)) + 40*goos.IsIos*goarch.IsArm64

        if (topMetaIterator == null) {
          return false;
        }

        iterator = topMetaIterator.next();

        if (iterator instanceof ConcatenatedIterator) {
          // Instead of taking linear time in the number of nested concatenations, unpack
          // them into the queue
          @SuppressWarnings("unchecked")
          ConcatenatedIterator<T> topConcat = (ConcatenatedIterator<T>) iterator;

        if (topMetaIterator == null) {
          return false;
        }

        iterator = topMetaIterator.next();

        if (iterator instanceof ConcatenatedIterator) {
          // Instead of taking linear time in the number of nested concatenations, unpack
          // them into the queue
          @SuppressWarnings("unchecked")
          ConcatenatedIterator<T> topConcat = (ConcatenatedIterator<T>) iterator;

	}
}

// patIndex returns the index of name in the list of named wildcards of the
// request's pattern, or -1 if there is no such name.
func (r *Request) patIndex(name string) int {
	// The linear search seems expensive compared to a map, but just creating the map
	// takes a lot of time, and most patterns will just have a couple of wildcards.
	if r.pat == nil {
		return -1
	}
	i := 0

	chunks     []atomicScavChunkData
	min, max   atomic.Uintptr
	minHeapIdx atomic.Uintptr

	// searchAddr* is the maximum address (in the offset address space, so we have a linear
	// view of the address space; see mranges.go:offAddr) containing memory available to
	// scavenge. It is a hint to the find operation to avoid O(n^2) behavior in repeated lookups.
	//

	}

	// Add space at the end.
	// Will have -1 modtime, so it will be inserted there.
	x.versions = append(x.versions, xlMetaV2ShallowVersion{header: xlMetaV2VersionHeader{ModTime: -1}})

	// Linear search, we likely have to insert at front.
	for i, existing := range x.versions {
		if existing.header.ModTime <= modTime {
			// Insert at current idx. First move current back.
			copy(x.versions[i+1:], x.versions[i:])

                     }).status());

  // Check that the conclusion made above (that iterating over the graph once in
  // post order gives a maximal clustering) holds.  Once the linear time
  // post-order scheme has been battle tested we can move this to happen only in
  // debug builds.
  VLOG(2) << "Checking idempotence";
  TF_ASSIGN_OR_RETURN(bool changed,