}
		fmt.Fprintf(s, "make(%v)", n.Type())

	case OMAKESLICECOPY:
		n := n.(*MakeExpr)
		fmt.Fprintf(s, "makeslicecopy(%v, %v, %v)", n.Type(), n.Len, n.Cap)

	case OPLUS, ONEG, OBITNOT, ONOT, ORECV:
		// Unary
		n := n.(*UnaryExpr)
		fmt.Fprintf(s, "%v", n.Op())
		if n.X != nil && n.X.Op() == n.Op() {
			fmt.Fprint(s, " ")
		}
		exprFmt(n.X, s, nprec+1)

	case OADDR:
		n := n.(*AddrExpr)

	// tree indexes telling us which tree to use for each 50 symbol block.
	numSelectors := br.ReadBits(15)
	treeIndexes := make([]uint8, numSelectors)

	// The tree indexes are move-to-front transformed and stored as unary
	// numbers.
	mtfTreeDecoder := newMTFDecoderWithRange(numHuffmanTrees)
	for i := range treeIndexes {
		c := 0
		for {
			inc := br.ReadBits(1)
			if inc == 0 {
				break
			}
			c++
		}

	case *ast.TypeAssertExpr:
		return "type assertion"
	case *ast.TypeSpec:
		return "type specification"
	case *ast.TypeSwitchStmt:
		return "type switch"
	case *ast.UnaryExpr:
		return fmt.Sprintf("unary %s operation", n.Op)
	case *ast.ValueSpec:
		return "value specification"

	}
	panic(fmt.Sprintf("unexpected node type: %T", n))

	} else if isLower(c) {
		a, _ = st.operatorName(false)
		if _, ok := a.(*Cast); ok {
			isCast = true
		}
		if op, ok := a.(*Operator); ok && op.Name == `operator"" ` {
			n := st.sourceName()
			a = &Unary{Op: op, Expr: n, Suffix: false, SizeofType: false}
		}
	} else if c == 'D' && len(st.str) > 1 && st.str[1] == 'C' {
		var bindings []AST
		st.advance(2)
		for {
			binding := st.sourceName()

    (MHLO_ReverseOp $values, (ConvertAxisAttr $values, $axis))>;

//===----------------------------------------------------------------------===//
// Unary op patterns.
//===----------------------------------------------------------------------===//

foreach Mapping = [
                   [TF_AbsOp, MHLO_AbsOp],
                   [TF_CeilOp, MHLO_CeilOp],

  (TF_ConstOp:$res DenseElementsAttr:$value),
  (Arith_ConstantOp $value),
  [(AnyStaticShapeTensor $res)], [], (addBenefit 10)>;

//===----------------------------------------------------------------------===//
// Unary ops patterns.
//===----------------------------------------------------------------------===//
def IsDataFormatNHWC : ConstantAttr<TF_ConvnetDataFormatAttr, "\"NHWC\"">;

	switch x := x.(type) {
	case *Name:
		return x, nil
	case *Operation:
		if x.Y == nil {
			break // unary expr
		}
		switch x.Op {
		case Mul:
			if name, _ := x.X.(*Name); name != nil && (force || isTypeElem(x.Y)) {
				// x = name *x.Y
				op := *x
				op.X, op.Y = op.Y, nil // change op into unary *op.Y
				return name, &op
			}
		case Or:

}

// is63bit reports whether x can be represented using 63 bits.
func is63bit(x int64) bool {
	const s = 63
	return -1<<(s-1) <= x && x <= 1<<(s-1)-1
}

// UnaryOp returns the result of the unary expression op y.
// The operation must be defined for the operand.
// If prec > 0 it specifies the ^ (xor) result size in bits.
// If y is [Unknown], the result is [Unknown].

  });
  if (!args_same_op) return failure();

  // Collect unary operations operands.
  auto unary_operands = llvm::map_range(op.getValues(), [](Value arg) -> Value {
    return arg.getDefiningOp()->getOperand(0);
  });
  SmallVector<Value, 8> unary_ops_args(unary_operands);

  // Concatenate unary ops operands.
  auto concat_unary_operands = CreateTfOp<ConcatV2Op>(

          (TF_ModOp $l, $r),
          [(IsLegalNumpyRankedBroadcast $l, $r, $broadcast_dimensions)]>;

//===----------------------------------------------------------------------===//
// Unary op patterns.
//===----------------------------------------------------------------------===//

def : Pat<(MHLO_ConvertOp MHLO_Tensor:$operand),
          (TF_CastOp $operand, ConstBoolAttrFalse)>;