#define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_ANALYSIS_RESOURCE_DATAFLOW_H_

#include <algorithm>
#include <vector>

#include "llvm/ADT/BitVector.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/Debug.h"
#include "mlir/Analysis/DataFlow/DeadCodeAnalysis.h"  // from @llvm-project
#include "mlir/Analysis/DataFlow/SparseAnalysis.h"  // from @llvm-project

  In a nutshell:

  User Code ---> sql package (concrete types) ---> sql/driver (interfaces)
  Database Driver -> sql (to register) + sql/driver (implement interfaces)

* Make type casting/conversions consistent between all drivers. To
  achieve this, most of the conversions are done in the sql package,
  not in each driver. The drivers then only have to deal with a
  smaller set of types.

#include <memory>
#include <string>

#include "absl/strings/str_format.h"
#include "llvm/ADT/DenseSet.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Casting.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Block.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project

limitations under the License.
==============================================================================*/

#include <memory>

#include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Casting.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Block.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project

#include "tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_gpu.h"

#include <memory>
#include <utility>

#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project

limitations under the License.
==============================================================================*/

#include <optional>
#include <utility>

#include "llvm/Support/Casting.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project

	c := NewAnyCacher[any]()

	myStruct := &MyStruct{"MySuperStruct"}

	c.Set("MySuperStruct", myStruct)

	myRawCachedStruct, found := c.Get("MySuperStruct")

	if found {
		// Casting the retrieved object back to its original type
		myCachedStruct := myRawCachedStruct.(*MyStruct)
		fmt.Printf("%s", myCachedStruct.Name)
	} else {
		fmt.Printf("Error: MySuperStruct not found in cache")
	}

limitations under the License.
==============================================================================*/

#include <iterator>
#include <memory>
#include <tuple>

#include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Casting.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/Visitors.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project

#include "tensorflow/compiler/mlir/tensorflow/utils/visitor.h"

#include <utility>

#include "llvm/ADT/DenseSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/Support/Casting.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project

// This pass sets the device ordinal attribute of the required op using
// the replica id attribute.

#include <memory>
#include <utility>

#include "llvm/Support/Casting.h"
#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_device.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"