int bits = iterator.next().bits();
    byte[] resultBytes = new byte[bits / 8];
    for (HashCode hashCode : hashCodes) {
      byte[] nextBytes = hashCode.asBytes();
      checkArgument(
          nextBytes.length == resultBytes.length, "All hashcodes must have the same bit length.");
      for (int i = 0; i < nextBytes.length; i++) {
        resultBytes[i] = (byte) (resultBytes[i] * 37 ^ nextBytes[i]);
      }
    }

    int bits = iterator.next().bits();
    byte[] resultBytes = new byte[bits / 8];
    for (HashCode hashCode : hashCodes) {
      byte[] nextBytes = hashCode.asBytes();
      checkArgument(
          nextBytes.length == resultBytes.length, "All hashcodes must have the same bit length.");
      for (int i = 0; i < nextBytes.length; i++) {
        resultBytes[i] = (byte) (resultBytes[i] * 37 ^ nextBytes[i]);
      }
    }

	// Parse previous result. Remove this if your plugin is not chained.
	if conf.RawPrevResult != nil {
		resultBytes, err := json.Marshal(conf.RawPrevResult)
		if err != nil {
			return nil, fmt.Errorf("could not serialize prevResult: %v", err)
		}
		res, err := version.NewResult(conf.CNIVersion, resultBytes)
		if err != nil {
			return nil, fmt.Errorf("could not parse prevResult: %v", err)
		}
		conf.RawPrevResult = nil

        byte resultByte = decoder.readByte();
        if (resultByte == SUCCESSFUL) {
            long selectedId = decoder.readSmallLong();
            long selectedVariantId = decoder.readSmallLong();
            return new DetachedResolvedGraphDependency(requested, selectedId, null, null, constraint, fromVariant, selectedVariantId);
        } else if (resultByte == SUCCESSFUL_NOTHING_SELECTED) {

		p.matchingIsolateInitiator[i] = -1
	}

	for i := range p.matchingPDI {
		p.matchingPDI[i] = -1

		if t := p.resultTypes[i]; t.in(LRI, RLI, FSI) {
			depthCounter := 1
			for j := i + 1; j < p.Len(); j++ {
				if u := p.resultTypes[j]; u.in(LRI, RLI, FSI) {
					depthCounter++
				} else if u == PDI {
					if depthCounter--; depthCounter == 0 {
						p.matchingPDI[i] = j

  let results = (outs
    Variadic<AnyType>:$results
  );

  let regions = (region SizedRegion<1>:$body);

  let builders = [
    OpBuilder<(ins "TypeRange":$resultTypes),
    [{
      build($_builder, $_state, resultTypes, mlir::StringAttr {});
    }]>
  ];

  let extraClassDeclaration = [{
    Block &GetBody() { return getOperation()->getRegion(0).front(); }
  }];

  let hasRegionVerifier = 1;

  let builders = [
    OpBuilder<(ins "TypeRange":$resultTypes, "ValueRange":$operands,
      "llvm::ArrayRef<::mlir::NamedAttribute>":$attributes,
      "unsigned":$numRegions),
    [{
      assert(numRegions == 2u && "mismatched number of regions");
      build($_builder, $_state, resultTypes, operands, attributes);
    }]>];

  let hasCanonicalizer = 1;
}

    return success();
  }

  void rewrite(stablehlo::UniformDequantizeOp op,
               PatternRewriter& rewriter) const override {
    rewriter.replaceOpWithNewOp<TFL::DequantizeOp>(
        op, /*resultTypes=*/op->getResultTypes(), /*input=*/op.getOperand());
  }
};

// Rewrites `stablehlo.dot_general` to `tfl.fully_connected` or
// `tfl.batch_matmul` when it accepts uniform quantized tensors.
//