return function (event, ranges) {
                $.each(plot.getXAxes(), function(_, axis) {
                    const opts = axis.options;
                    opts.min = reset ? null : ranges.xaxis.from;
                    opts.max = reset ? null : ranges.xaxis.to;
                });
                $.each(plot.getYAxes(), function(_, axis) {
                    const opts = axis.options;

ot.getPlaceholder().trigger("plotunselected",[])}}function extractRange(ranges,coord){var axis,from,to,key,axes=plot.getAxes();for(var k in axes){axis=axes[k];if(axis.direction==coord){key=coord+axis.n+"axis";if(!ranges[key]&&axis.n==1)key=coord+"axis";if(ranges[key]){from=ranges[key].from;to=ranges[key].to;break}}}if(!ranges[key]){axis=coord=="x"?plot.getXAxes()[0]:plot.getYAxes()[0];from=ranges[coord+"1"];to=ranges[coord+"2"]}if(from!=null&&to!=null&&from>to){var tmp=from;from=to;to=tmp}return...

      return failure();
    }
    auto sum_op = dyn_cast_or_null<TFL::SumOp>(log_op.getX().getDefiningOp());
    if (!sum_op || !sum_op.getKeepDims() ||
        !isSupportedAxis(
            sum_op.getAxes(),
            mlir::cast<ShapedType>(sum_op.getOperand(0).getType()).getRank())) {
      return failure();
    }
    if (!sum_op->hasOneUse()) {
      return failure();
    }
    auto exp_op =

    new_result_types.push_back(valid_output_type);

    auto nmsv4 = CreateTfOp<TF::NonMaxSuppressionV4Op>(
        rewriter, nms_op, new_result_types, nms_op.getBoxes(),
        nms_op.getScores(), nms_op.getMaxOutputSize(), nms_op.getIouThreshold(),
        nms_op.getScoreThreshold());
    // Cannot replace the NMSv3 Op with NMSv4 since the outputs between the