// Tensor + Scalar: [..., 1] + []  <- scalar
  //                        ^
  //                        \- axis is the innermost dimension.
  //
  // Concatenate tensor arguments on the same axis as the original operation,
  // and concatenate scalars into the vector.
  if (is_all_tensors(0, axis) && is_all_scalars(1)) {
    std::array<int64_t, 1> rhs_dims{
        static_cast<int64_t>(op.getValues().size())};

  [
    Pure,
    TFL_SameFirstOperandAndFirstResultElementType,
    SameOperandsAndResultsScale,
    QuantizableResult
  ]> {
  let summary = "Concatenation operator";

  let description = [{
    Concatenates tensors along one dimension
  }];

  let arguments = (
    ins TFL_VariadicTensorOf<
      [F32, I64, I32, I16, I8, QI8, QUI8, UI8, UI32, I1]>:$values,
    I32Attr:$axis,

// -----

// Tests that a quantized `stablehlo.concatenate` is converted to
// `tfl.concatenation`.

func.func @concatenate(
    %arg0: tensor<3x2x!quant.uniform<i8:f32, 2.000000e+00:-1>>,
    %arg1: tensor<1x2x!quant.uniform<i8:f32, 2.000000e+00:-1>>
  ) -> tensor<4x2x!quant.uniform<i8:f32, 2.000000e+00:-1>> {
  %0 = "stablehlo.concatenate"(%arg0, %arg1) {dimension = 0 : i64} : (

          rewriter.create<TFL::MinimumOp>(op->getLoc(), cast, upper_limit_cst);
    }

    Value concatenated = start_indices[0];
    if (rank > 1) {
      SmallVector<int64_t> begin_shape{rank};
      Type begin_type = operand_type.cloneWith(begin_shape, i64_type);
      concatenated = rewriter.create<TFL::ConcatenationOp>(
          op->getLoc(), begin_type, start_indices, /*axis=*/0,

int); public static String right(String, int); public static String mid(String, int, int); public static String[] split(String); public static String[] split(String, String); public static String[] split(String, String, int); public static String concatenate(Object[]); public static String join(Object[], String); public static String join(java.util.Iterator, String); public static String replaceOnce(String, char, char); public static String replace(String, char, char); public static String replace(String,...

    std::shared_ptr<AbstractStackTrace> stack_trace = node.GetStackTrace();

    // Prefer stack traces if available, fallback to debug info if not, and then
    // finally to just name. Older versions of debug info concatenated `@` onto
    // the node name for the default graph, so we check both locations.
    if (stack_trace != nullptr) {
    } else if (stack_traces_.contains(name_for_name_loc)) {

  auto concat_result_type = RankedTensorType::get(
      {static_cast<int32_t>(
           dot_dimensions_info.batch_dimensions().AxesArray().size()) +
       2},
      builder.getIntegerType(32));
  // Concatenate the batch dimensions, flattened out dimension and flattened
  // contracting dimension.
  return builder.create<TF::ConcatOp>(
      concat_result_type,
      builder.create<TF::ConstOp>(builder.getI32IntegerAttr(0)),

    return 1
  fi

  local out=""
  for (( i = 0; i < "${infobytes}"; i += 32 )); do
    # uuids have 122 random bits, sha256 sums have 256 bits, so concatenate
    # three uuids and take their sum. The sum is encoded in ASCII hex, hence the
    # 64 character cut.
    out+="$(
     (
       uuidgen --random;
       uuidgen --random;
       uuidgen --random;

	klet.evictionManager = evictionManager
	klet.admitHandlers.AddPodAdmitHandler(evictionAdmitHandler)

	// Safe, allowed sysctls can always be used as unsafe sysctls in the spec.
	// Hence, we concatenate those two lists.
	safeAndUnsafeSysctls := append(sysctl.SafeSysctlAllowlist(), allowedUnsafeSysctls...)
	sysctlsAllowlist, err := sysctl.NewAllowlist(safeAndUnsafeSysctls)
	if err != nil {
		return nil, err
	}

	writeBlocks(ctxt, out, ctxt.outSem, ctxt.loader, ctxt.datap, addr, size, zeros[:])
}

func dwarfblk(ctxt *Link, out *OutBuf, addr int64, size int64) {
	// Concatenate the section symbol lists into a single list to pass
	// to writeBlocks.
	//
	// NB: ideally we would do a separate writeBlocks call for each
	// section, but this would run the risk of undoing any file offset