if numGCs < want {
		t.Fatalf("no periodic GC: got %v GCs, want >= 2", numGCs)
	}
}

func TestGcZombieReporting(t *testing.T) {
	// This test is somewhat sensitive to how the allocator works.
	// Pointers in zombies slice may cross-span, thus we
	// add invalidptr=0 for avoiding the badPointer check.
	// See issue https://golang.org/issues/49613/

	var buf strings.Builder
	// Could use a hint like len(s)*3, but that's not enough for cases
	// with word splits and too much for simpler inputs.
	// 48 is close to maxEncodedWordLen/2, but adjusted to allocator size class.
	buf.Grow(48)

	e.openWord(&buf, charset)
	if e == BEncoding {
		e.bEncode(&buf, charset, s)
	} else {
		e.qEncode(&buf, charset, s)
	}
	closeWord(&buf)

	return buf.String()
}

	// to spend on scavenging in percent.
	scavengePercent = 1 // 1%

	// retainExtraPercent represents the amount of memory over the heap goal
	// that the scavenger should keep as a buffer space for the allocator.
	// This constant is used when we do not have a memory limit set.
	//
	// The purpose of maintaining this overhead is to have a greater pool of
	// unscavenged memory available for allocation (since using scavenged memory

	triggerRatioDen = 64

	// The minimum trigger constant was chosen empirically: given a sufficiently
	// fast/scalable allocator with 48 Ps that could drive the trigger ratio
	// to <0.05, this constant causes applications to retain the same peak
	// RSS compared to not having this allocator.
	minTriggerRatioNum = 45 // ~0.7

	// The maximum trigger constant is chosen somewhat arbitrarily, but the

    if (!shape_or.ok()) {
      return op_->emitRemark()
             << "failed to get shape for expression. " << expr.HumanString();
    }

    tensors.emplace_back(
        device_->GetAllocator(tensorflow::AllocatorAttributes()), expr.dtype(),
        shape_or.value());

    tensorflow::Tensor& tensor = tensors.back();
    tensorflow::XlaExpression::AssignExpressionToTensor(expr, &tensor);

		// GOSSAHASH=11011011001011111 == cmd/compile/internal/noder.(*noder).embedded
		// is compiled incorrectly.  I believe the cause is one of those SSA-to-registers
		// puzzles that the register allocator untangles; in the event that a register
		// parameter does not end up bound to a name, "fixing" it is a bad idea.
		//
		//if f.DebugTest {
		//	if v.Op == OpArgIntReg || v.Op == OpArgFloatReg {

	Blocks []*Block    // unordered set of all basic blocks (note: not indexable by ID)
	Entry  *Block      // the entry basic block

	bid idAlloc // block ID allocator
	vid idAlloc // value ID allocator

	HTMLWriter     *HTMLWriter    // html writer, for debugging

#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/c/tf_tensor.h"
#include "tensorflow/c/tf_tensor_internal.h"
#include "xla/tsl/c/tsl_status_internal.h"  // IWYU pragma: keep
#include "tensorflow/core/framework/allocator.h"
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/attr_value_util.h"
#include "tensorflow/core/framework/device_base.h"
#include "tensorflow/core/framework/kernel_def_builder.h"

var verboseAST = map[byte]AST{
	't': &Name{Name: "std"},
	'a': &Qualified{Scope: &Name{Name: "std"}, Name: &Name{Name: "allocator"}},
	'b': &Qualified{Scope: &Name{Name: "std"}, Name: &Name{Name: "basic_string"}},

	// std::basic_string<char, std::char_traits<char>, std::allocator<char> >
	's': &Template{
		Name: &Qualified{Scope: &Name{Name: "std"}, Name: &Name{Name: "basic_string"}},
		Args: []AST{

		// inconsistent statistics.
		readmemstats_m(memStats)

		// Read metrics again. We need to be sure we're on the
		// system stack with readmemstats_m so that we don't call into
		// the stack allocator and adjust metrics between there and here.
		readMetricsLocked(samplesp, len, cap)

		// Undo the donation.
		getg().racectx = 0
	})
	metricsUnlock()

	startTheWorld(stw)
}