// to store its `SymbolTable` to `SymbolTableCollection`.
  SymbolTable stablehlo_symbol_table(stablehlo_module);

  Builder builder(context);
  StringAttr main_func_name;
  for (auto func : stablehlo_module.getOps<func::FuncOp>()) {
    const bool is_main_func = func.getSymName() == kStablehloMainFunctionName;
    if (tf_symbol_table.lookup(func.getSymName())) {
      if (failed(stablehlo_symbol_table.renameToUnique(

        int andRecordCount = JsonPath.from(andResponse).getInt("record_count");

        Map<String, String> params = new HashMap<>();
        params.put("q", query);
        params.put("num", "100");
        String response = checkMethodBase(new HashMap<>()).params(params).get("/api/v1/documents").asString();
        assertTrue(JsonPath.from(response).getInt("record_count") > andRecordCount);

  for (int i = 0; i < low_pads.size(); ++i) {
    new_low_pads[i] = low_pads[i].getInt() + parent_low_pads[i].getInt();
    new_high_pads[i] = high_pads[i].getInt() + parent_high_pads[i].getInt();
    new_interior_pads[i] =
        interior_pads[i].getInt() + parent_interior_pads[i].getInt();
  }

  // Replace pad_op with a new pad having new attributes, taking the

  for (int i : llvm::seq<int>(1, num_dims - 1)) {
    Value input_size_i = GetDimValue(builder, loc, input_shape_value, i);
    const int stride_i = mlir::cast<IntegerAttr>(strides[i]).getInt();
    const int dilation_i = mlir::cast<IntegerAttr>(dilations[i]).getInt();
    const int filter_i = filter_shape.getDimSize(i - 1);
    Value pad_i_low, pad_i_high;
    GetSamePaddingValues(builder, loc, input_size_i, filter_i, dilation_i,

  ASSERT_TRUE(module_op);

  func::FuncOp main_fn = FindMainFuncOp(*module_op);
  ASSERT_THAT(main_fn, NotNull());

  auto xla_call_module_ops = main_fn.getOps<TF::XlaCallModuleOp>();
  ASSERT_FALSE(xla_call_module_ops.empty());

  // Test that `GetQuantizationMethod` returns a valid `Method` corresponding to
  // `"no_quantization {}"`.
  const absl::StatusOr<Method> method =

      fbb.Float(attr.first.data(), float_attr.getValue().convertToFloat());
    } else if (auto int_attr =
                   mlir::dyn_cast_or_null<IntegerAttr>(attr.second)) {
      fbb.Int(attr.first.data(), int_attr.getInt());
    } else if (auto bool_attr = mlir::dyn_cast_or_null<BoolAttr>(attr.second)) {
      fbb.Bool(attr.first.data(), bool_attr.getValue());
    } else if (auto string_attr =

     * @throws IllegalAccessRuntimeException
     *             {@link IllegalAccessException}が発生した場合
     * @see #getInt(Field, Object)
     */
    public static int getInt(final Field field) throws IllegalAccessRuntimeException {
        assertArgumentNotNull("field", field);

        return getInt(field, null);
    }

    /**
     * {@link Field}の値をintとして取得します。
     *
     * @param field

    "$_builder.getI32IntegerAttr($0.cast<IntegerAttr>().getInt())">;

// Builds a constant bool attribute.
class GetBoolAttr<int value> :
    NativeCodeCall<"$_builder.getBoolAttr(" # value #")">;

// Converts an integer attribute $0 to 64-bit with builder.
def convertIntAttrTo64Bit : NativeCodeCall<
    "$_builder.getI64IntegerAttr($0.cast<IntegerAttr>().getInt())">;

// Extracts the single integer element from $_self.

    fbb.Add(static_cast<int32_t>(
        mlir::dyn_cast<IntegerAttr>(*(hash_seed.getValue().data() + i))
            .getInt()));
  }
  fbb.EndVector(vector_start, /*typed=*/true, /*fixed=*/false);

  auto buckets = mlir::dyn_cast_or_null<IntegerAttr>(attrs.get("buckets"));
  fbb.Int("buckets", buckets.getInt());

  fbb.EndMap(start_map);
  fbb.Finish();

            final Response response = checkMethodBase(requestBody).post("/api/admin/scheduler/" + schedulerId + "/start");
            if (response.getBody().jsonPath().getInt("response.status") == 0) {
                logger.info("Start scheduler \"{}\"", schedulerId);
                return;
            }
            ThreadUtil.sleep(1000L);
        }
        fail("could not start job.");