#include "tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_uniform_attribute_utils.h"

#include <gtest/gtest.h>
#include "absl/strings/string_view.h"
#include "llvm/ADT/StringMap.h"
#include "mlir/IR/AsmState.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

	{"X %d X", "X 27 X", &intVal, 27},

	{"X %s X", "X27X", &stringVal, nil},  // expected space in input to match format
	{"X %s X", "X27 X", &stringVal, nil}, // expected space in input to match format
	{"X %s X", "X 27X", &stringVal, nil}, // unexpected EOF
	{"X %s X", "X 27 X", &stringVal, "27"},

	{"X%sX", "X27X", &stringVal, nil},   // unexpected EOF
	{"X%sX", "X27 X", &stringVal, nil},  // input does not match format

	intStruct := struct{ F int }{3}
	fmt.Printf("%s", &intStruct) // ERROR "Printf format %s has arg &intStruct of wrong type \*struct{F int}"

	stringMap := map[string]string{"foo": "bar"}
	fmt.Printf("%s", &stringMap) // not an error

	intMap := map[int]int{3: 4}
	fmt.Printf("%s", &intMap) // ERROR "Printf format %s has arg &intMap of wrong type \*map\[int\]int"

	type T2 struct {
		X string

      SmallVectorImpl<Value>* inputs, NamedAttrList* arg_attrs,
      llvm::StringMap<Attribute>* derived_attrs) const;

  // Uses the collected attribute values to derive all the output types.
  LogicalResult DeriveOutputTypes(Location loc, FunctionType signature,
                                  const llvm::StringMap<Attribute>& attrs,
                                  SmallVectorImpl<Type>* output_types) const;

	// is not preserved).
	// If any is of type stringptr, then the Kind is String and the string value
	// consists of the length in num and the pointer in any.
	// Otherwise, the Kind is Any and any is the value.
	// (This implies that Attrs cannot store values of type Kind, *time.Location
	// or stringptr.)
	any any
}

type (
	stringptr *byte // used in Value.any when the Value is a string

	cmd.PersistentFlags().StringVarP(&manifestsPath, "manifests", "d", "", util.ManifestsFlagHelpStr)
	cmd.PersistentFlags().BoolVarP(&skipConfirmation, "skip-confirmation", "y", false, skipConfirmationFlagHelpStr)
	cmd.PersistentFlags().StringVarP(&revision, "revision", "r", "", revisionHelpStr)
	cmd.PersistentFlags().StringVarP(&webhookName, "webhook-name", "", "", webhookNameHelpStr)

// values, result values, result devices and the operations to be included in
// the function body.
std::optional<llvm::StringMap<FunctionMetadata>> GetFunctionMetadatas(
    func::FuncOp func_op) {
  llvm::StringMap<FunctionMetadata> metadatas;
  WalkResult result = func_op.getBody().walk([&](Operation *op) {
    std::string op_host = GetHost(op);

  }

  @Test
  fun multipleTags() {
    val stringTag = "dilophosaurus"
    val longTag = 20170815L as Long?
    val objectTag = Any()
    val request =
      Request.Builder()
        .url("https://square.com")
        .tag(Any::class, objectTag)
        .tag(String::class, stringTag)
        .tag(Long::class, longTag)
        .build()

    llvm::StringMap<PartitionedCallStackOpsInfo>*);

// Handles stack usage by a tf.While. It will convert the body and conditional
// function signatures, and performs stack ops decomposition on them.
LogicalResult HandleWhileOp(
    TF::WhileOp while_op, ModuleOp module,
    const llvm::SmallDenseMap<Value, Value>& data_var_to_size_var,
    llvm::StringMap<PartitionedCallStackOpsInfo>*

#include <memory>
#include <optional>
#include <tuple>
#include <vector>

#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringMap.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/FormatVariadic.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project