expectedSetCost:  12,
		},
		{
			name: "extended library split",
			schemaGenerator: func(max *int64) *schema.Structural {
				strType := withMaxLength(primitiveType("string", ""), max)
				objType := objectType(map[string]schema.Structural{
					"str":       strType,
					"separator": strType,
				})
				objType = withRule(objType, "self.str.split(self.separator) == []")
				return &objType
			},

  let summary = "";

  let arguments = (ins
    TF_StrTensor:$program_key,
    TF_Int32Tensor:$row_ids,
    TF_Int32Tensor:$col_ids,
    TF_Float32Tensor:$gains,
    TF_Int64Tensor:$splits,
    TF_Int32Tensor:$id_counts,

    ConfinedAttr<I64Attr, [IntMinValue<1>]>:$sample_count,
    ConfinedAttr<I64Attr, [IntMinValue<1>]>:$num_replica,

	if err != nil {
		p.Ctxt.Diag("%v: constant %d too large", p, ins.imm, err)
		return nil
	}
	if high == 0 {
		return []*instruction{ins}
	}

	// Split into two additions, if possible.
	// Do not split SP-writing instructions, as otherwise the recorded SP delta may be wrong.
	if p.Spadj == 0 && ins.as == AADDI && ins.imm >= -(1<<12) && ins.imm < 1<<12-1 {
		imm0 := ins.imm / 2

  // return the same resource (after passing it through multiple identity ops).
  // Some subsequent ops use the original resource and others use the returned
  // version. Pipelining splits these uses across loop iterations resulting in
  // terrible things.
  result = EliminateResourceLoops(builder, symbol_table, loop_body_func);
  if (failed(result)) return signalPassFailure();

	-bench regexp
	    Run only those benchmarks matching a regular expression.
	    By default, no benchmarks are run.
	    To run all benchmarks, use '-bench .' or '-bench=.'.
	    The regular expression is split by unbracketed slash (/)
	    characters into a sequence of regular expressions, and each
	    part of a benchmark's identifier must match the corresponding
	    element in the sequence, if any. Possible parents of matches

// RUN: tf-quant-opt %s -split-input-file -quant-insert-quantized-functions -quant-quantize-composite-functions | FileCheck --check-prefix=TF %s
// RUN: tf-quant-opt %s -split-input-file -quant-insert-quantized-functions -quant-quantize-composite-functions='target-opset=XLA' | FileCheck --check-prefix=XLA %s

  // CHECK-DAG: [[PADDED_SHAPE:%.+]] = "tf.AddV2"([[PADDINGS_SUM]], [[INPUT_SHAPE]])
  // CHECK-DAG: [[PADDED_SHAPE_SPLITS:%.+]]:4 = "tf.Split"([[ZERO_I32]], [[PADDED_SHAPE]])
  // CHECK-DAG: [[BLOCK_SHAPE_SPLITS:%.+]]:2 = "tf.Split"([[ZERO_I32]], %arg1)
  // CHECK-DAG: [[OUTER_SHAPE_0:%.+]] = "tf.Div"([[PADDED_SHAPE_SPLITS]]#1, [[BLOCK_SHAPE_SPLITS]]#0)

    private static int compareModelVersions(String first, String second) {
        // we use a dedicated comparator because we control our model version scheme.
        String[] firstSegments = first.split("\\.");
        String[] secondSegments = second.split("\\.");
        for (int i = 0; i < Math.max(firstSegments.length, secondSegments.length); i++) {
            int result = Long.valueOf(i < firstSegments.length ? firstSegments[i] : "0")

			err = errors.Join(fmt.Errorf("found containerfs.inodesFree for soft eviction. ignoring"))
			softContainerFsINodes = idx
		}
	}
	// Either split disk case (containerfs=nodefs) or single filesystem
	if (imageFs && separateContainerImageFs) || (!imageFs && !separateContainerImageFs) {
		if hardContainerFsDisk != -1 {
			thresholds[hardContainerFsDisk] = evictionapi.Threshold{

// line. It panics (it's a test function) if some line has fewer tabs
// than the first line.
//
// The purpose of this is to make it easier to read tests.
func FixTabsOrDie(in string) string {
	lines := bytes.Split([]byte(in), []byte{'\n'})
	if len(lines[0]) == 0 && len(lines) > 1 {
		lines = lines[1:]
	}
	// Create prefix made of tabs that we want to remove.
	var prefix []byte
	for _, c := range lines[0] {