Both link:{kotlin-reference}java-interop.html[calling Java from Kotlin] and link:{kotlin-reference}java-to-kotlin-interop.html[calling Kotlin from Java] are very well covered in the Kotlin reference documentation.

The same mostly applies to interoperability with Groovy code.

        in primitiveTypeStrings.keys -> primitiveTypeStrings[binaryName]!!
        else -> binaryName.replace('$', '.')
    }


/**
 * See https://kotlinlang.org/docs/reference/java-interop.html#mapped-types
 */
private
val mappedTypeStrings =
    mapOf(
        // Built-ins
        "java.lang.Cloneable" to "kotlin.Cloneable",
        "java.lang.Comparable" to "kotlin.Comparable",

                         op->getSuccessors(), new_regions);
      inner_op = rewriter.create(state);
    } else {
      bool disable_call_shape_inference = false;
      if (op->hasAttr("_disable_call_shape_inference")) {
        disable_call_shape_inference =
            op->getAttrOfType<BoolAttr>("_disable_call_shape_inference")
                .getValue();
      }
      inner_op =

namespace {
// Finds in a block if the op of type `InnerOpT` is the first operation and
// optionally followed by a terminator.
template <typename InnerOpT>
bool HasSingleOpInBlock(Block *block) {
  if (block->empty()) return false;
  if (!llvm::isa<InnerOpT>(block->front())) return false;
  // Either InnerOpT is the only instruction in the block, or there is a
  // possible terminator.

  block->walk([&](Operation* op) {
    Operation* iter_op = op;
    while (iter_op && !llvm::isa<mlir::tf_device::ClusterOp>(iter_op)) {
      if (iter_op->hasAttrOfType<StringAttr>(kXlaOutsideCompilationAttr)) {
        return;
      }
      iter_op = iter_op->getParentOp();
    }

    if (!IsSupportedOp(*op, supported_ops, tf_dialect)) {

            HashCode hash = streamHasher.hashCopy(input, output);
            chmodUnpackedFile(entry, file);
            String internedAbsolutePath = stringInterner.intern(file.getAbsolutePath());
            String internedFileName = stringInterner.intern(fileName);
            return new RegularFileSnapshot(internedAbsolutePath, internedFileName, hash, DefaultFileMetadata.file(output.getCount(), file.lastModified(), DIRECT));
        }

  for (Operation* cluster_op : cluster_ops) {
    cluster_op->moveBefore(body, body->end());
    cluster_op->walk([&](Operation* inner_op) {
      inner_op->removeAttr(mlir::TF::kReplicationInfoAttr);
      inner_op->removeAttr(mlir::TF::kCompileDeviceTypeAttr);

      if (auto attr = inner_op->getAttrOfType<StringAttr>(kDeviceAttr)) {
        // Preserve device attribute if the op is placed on a replicated core

    } else if (auto island =
                   llvm::dyn_cast<mlir::tf_executor::IslandOp>(inst)) {
      Operation& inner_op = island.GetBody().front();
      auto op_name = GetTensorFlowOpName(inner_op.getName().getStringRef());
      if (llvm::isa<FuncOp>(inner_op) && op_name.ok()) {
        // If it is TF Control dialect specific op, look up custom operation

    } else if (auto island =
                   llvm::dyn_cast<mlir::tf_executor::IslandOp>(inst)) {
      Operation& inner_op = island.GetBody().front();
      auto op_name = GetTensorFlowOpName(inner_op.getName().getStringRef());
      if (llvm::isa<FuncOp>(inner_op) && op_name.ok()) {
        // If it is TF Control dialect specific op, look up custom operation

  } else if (auto sink = llvm::dyn_cast<tf_executor::NextIterationSinkOp>(op)) {
    return ops_have_same_device(sink.GetSource(), sink);
  }

  return llvm::isa<tf_executor::EnterOp, tf_executor::ExitOp,
                   tf_executor::IslandOp, tf_executor::MergeOp,
                   tf_executor::SwitchOp>(op);
}

// Assigns all data results to a specified device.
void PopulateDeviceForOpResults(