return success();
  }
  return op->emitOpError() << "module already contains an attribute "
                           << attr_name << "=" << ex_attr_value.getInt()
                           << ", overwritting to a new value "
                           << attr_value.getInt() << " is not allowed.";
}

LogicalResult SetCollectiveInfo(IntegerAttr group_size, IntegerAttr group_key,
                                Operation* op) {

  ArrayAttr stride = mlir::dyn_cast<ArrayAttr>(identifier_to_attr["strides"]);
  const int stride_h = mlir::cast<IntegerAttr>(stride[1]).getInt();
  const int stride_w = mlir::cast<IntegerAttr>(stride[2]).getInt();
  return rewriter.getI64ArrayAttr({stride_h, stride_w});
}

Attribute GetLhsDilationValue(PatternRewriter& rewriter,

                    // create and wire the custom dependencies extension's dependencies to these global configurations
                    api.fromDependencyCollector(getRestricted().getDependencies().getApi());
                    implementation.fromDependencyCollector(getRestricted().getDependencies().getImplementation());
                }
            }
        """

    if (!main_func) continue;

    SymbolTable symbol_table(module_op);
    for (auto call_op : main_func.getOps<TF::PartitionedCallOp>()) {
      func_ops.push_back(dyn_cast_or_null<func::FuncOp>(symbol_table.lookup(
          mlir::cast<FlatSymbolRefAttr>(call_op.getFAttr()).getValue())));
    }
    for (auto call_op : main_func.getOps<TF::StatefulPartitionedCallOp>()) {
      func_ops.push_back(

	r.mu.Lock()
	defer r.mu.Unlock()
	getDst := func(n int) []byte {
		if cap(dst) < n {
			return make([]byte, n)
		}
		return dst[:n]
	}

	if r.w == r.r {
		if r.isFull {
			buf := getDst(r.size)
			copy(buf, r.buf[r.r:])
			copy(buf[r.size-r.r:], r.buf[:r.w])
			return buf
		}
		return nil
	}

	if r.w > r.r {
		buf := getDst(r.w - r.r)
		copy(buf, r.buf[r.r:r.w])

		PluginLogLevel:        istiolog.LevelToString(istiolog.FindScope(constants.CNIPluginLogScope).GetOutputLevel()),
		KubeconfigFilename:    viper.GetString(constants.KubeconfigFilename),
		KubeconfigMode:        viper.GetInt(constants.KubeconfigMode),
		KubeCAFile:            viper.GetString(constants.KubeCAFile),
		SkipTLSVerify:         viper.GetBool(constants.SkipTLSVerify),
		K8sServiceProtocol:    os.Getenv("KUBERNETES_SERVICE_PROTOCOL"),

      padding_nums.push_back(padding_elem.getInt());
    }
  } else if (conv_padding.strref() == "VALID") {
    padding_nums.resize(padding_nums_size, 0);
  } else {
    padding_nums.resize(padding_nums_size);
    for (int i = 0; i < dnums.input_spatial_dimensions_size(); ++i) {
      const int64_t stride =
          mlir::cast<IntegerAttr>(op.getWindowStridesAttr()[i]).getInt();
      const int64_t lhs_size_dilated =

  for (const Attribute& attr : op.getDeviceVarReadsIndices()) {
    read_array.insert(mlir::cast<IntegerAttr>(attr).getInt());
  }
  llvm::SmallSet<int, 8> update_array;
  for (const Attribute& attr : op.getDeviceVarUpdatesIndices()) {
    update_array.insert(mlir::cast<IntegerAttr>(attr).getInt());
  }

  for (auto& arg : op->getOpOperands()) {
    Value v = arg.get();

    if (function_name.contains("conv")) {
      return (*(func.getOps<mlir::stablehlo::ConvolutionOp>().begin()))
          .getDimensionNumbers()
          .getKernelOutputFeatureDimension();
    } else if (function_name.contains("dot_general")) {
      auto dot = *(func.getOps<mlir::stablehlo::DotGeneralOp>().begin());
      const ::mlir::stablehlo::DotDimensionNumbersAttr dimension_numbers =

            hasPackageStatement = source.getAST().getPackageName() != null;
        }
    }

    private static class EmptyScriptDetector extends CompilationUnit.SourceUnitOperation {
        private boolean emptyScript;
        private boolean hasMethods;

        @Override
        public void call(SourceUnit source) {
            if (!source.getAST().getMethods().isEmpty()) {
                hasMethods = true;