// Optimizations are required to remove some allocs.
				t.Skipf("skipping on %v", testenv.Builder())
			}
			allocs := int(testing.AllocsPerRun(1000, func() {
				sinkString = tc.ip.String()
			}))
			if allocs != tc.wantAllocs {
				t.Errorf("allocs=%d, want %d", allocs, tc.wantAllocs)
			}
		})
	}
}

func TestPrefixString(t *testing.T) {

                       bool would_be_cloned,
                       mlir::IRMapping &mapping) const final {
    // All tf_mlrt dialect ops can be inlined.
    return true;
  }
  // Note that CallOp and ReturnOp are handled by func; so need to implement
  // handleTerminator.
};

}  // namespace

TensorflowMlrtDialect::TensorflowMlrtDialect(mlir::MLIRContext *context)

func TestAppendAllocs(t *testing.T) {
	buf := make([]byte, 0, Size(&s))
	var err error
	allocs := testing.AllocsPerRun(1, func() {
		_, err = Append(buf, LittleEndian, &s)
	})
	if err != nil {
		t.Fatal("Append failed:", err)
	}
	if allocs != 0 {
		t.Fatalf("Append allocated %v times instead of not allocating at all", allocs)
	}
}

var sizableTypes = []any{
	bool(false),
	int8(0),
	int16(0),

Kuat <******@****.***> 1714759362 -0700

  // within its purview are mutating in nature.
  void PropagatePotentiallyWrittenWithinUnhandledOp(Operation* op);

  // Given a Region associated with the callee and operands from the
  // corresponding callOp, propagate the potentially written decision to the
  // callOp's operands, if the corresponding region's arguments are potentially
  // written resources.
  void PropagatePotentiallyWrittenUpFromCallee(

    // the op using the builder.
    CPred<"ArgTypesMatchCallee(&*$_builder.getInsertionPoint(), $1, $2)">>;

foreach callOp = [TF_PartitionedCallOp, TF_StatefulPartitionedCallOp] in {
  def : Pat<(callOp:$op $args, FlatSymbolRefAttr:$f,
             $config, $config_proto, $executor_type),
            (CallOp $f, $args),
          [(ArgTypesMatchCallee $op, $args, $f)]>;
}

// uses `get_next` to get the next value and calls `reduce_func`.  `body_args`
// is used as pass through of state values for else branch.  `dataset_types` is
// used for constructing the CallOp for `reduce_func`.
IfRegionOp CreateOptionalDatasetIf(
    OpBuilder builder, ReduceDatasetOp reduce_dataset, FuncOp reduce_func,
    IteratorGetNextAsOptionalOp get_next, OptionalHasValueOp optional_has_value,

// license that can be found in the LICENSE file.

// Runtime -> tracer API for memory events.

package runtime

import (
	"internal/abi"
	"runtime/internal/sys"
)

// Batch type values for the alloc/free experiment.
const (
	traceAllocFreeTypesBatch = iota // Contains types. [{id, address, size, ptrspan, name length, name string} ...]

String id=26
	data="/usr/local/google/home/mknyszek/work/go-1/src/runtime/mgcmark.go"
String id=27
	data="runtime.deductAssistCredit"
String id=28
	data="/usr/local/google/home/mknyszek/work/go-1/src/runtime/malloc.go"
String id=29
	data="runtime.mallocgc"
String id=30
	data="runtime.makeslice"
String id=31
	data="/usr/local/google/home/mknyszek/work/go-1/src/runtime/slice.go"
String id=32

	// size, no ALLOC flag, and the offset should not fall into any of
	// the segments defined by the program headers.
	if section.Addr != 0 {
		t.Fatalf("expected Addr == 0 for .shstrtab got %x", section.Addr)
	}
	if section.Size == 0 {
		t.Fatal("expected nonzero Size for .shstrtab got 0")
	}
	if section.Flags&elf.SHF_ALLOC != 0 {
		t.Fatal("expected zero alloc flag got nonzero for .shstrtab")
	}