return kubeResourceKey{
		kind:     r.schema.Kind(),
		fullName: r.fullName(),
	}
}

func (r *kubeResource) fullName() resource.FullName {
	return resource.NewFullName(resource.Namespace(r.config.Namespace),
		resource.LocalName(r.config.Name))
}

type kubeResourceKey struct {
	fullName resource.FullName
	kind     string
}

var _ model.ConfigStore = &KubeSource{}

  // is specified in the `quantize_allowlist`.
  std::pair<std::optional<double>, std::optional<double>>
  GetMinMaxValuesForArgument(llvm::StringRef func_name, int index) {
    if (func_name == quant_specs_.target_func) {
      return quant_specs_.input_ranges[index];
    } else {
      return {0.0, 255.0};
    }
  }

  // counter.
  std::string CreateNewFuncName(const StringRef func_name,
                                SymbolTable &symbol_table) const {
    int suffix_id = 0;
    std::string new_func_name = absl::StrCat(kStablehloFuncNamePrefix, "_",
                                             func_name.str(), "_", suffix_id);
    while (symbol_table.lookup(new_func_name)) {
      suffix_id++;

	fn, _ = typeutil.Callee(pass.TypesInfo, call).(*types.Func)
	if fn == nil {
		return nil, 0
	}

	_, ok := isPrint[fn.FullName()]
	if !ok {
		// Next look up just "printf", for use with -printf.funcs.
		_, ok = isPrint[strings.ToLower(fn.Name())]
	}
	if ok {
		if fn.FullName() == "fmt.Errorf" {
			kind = KindErrorf
		} else if strings.HasSuffix(fn.Name(), "f") {
			kind = KindPrintf
		} else {

 * captured inputs.
 */
absl::StatusOr<std::string> GetCompilerIr(
    IrExportStage stage, ProcessFunctionLibraryRuntime* pflr,
    absl::string_view func_name, Device* dev, EagerContext* context,
    absl::Span<const ArgShapeAndDType> input_arg_shape_and_dtype,
    absl::Span<const TensorHandle* const> input_handles,
    CompilerArgSource compiler_arg_source) {

                              node_name_regex)) {
            continue;
          }
        }

        if (!unit.func_name().empty()) {
          const RE2 func_name_regex(unit.func_name());
          if (!RE2::FullMatch(quantization_unit.value().func_name(),
                              func_name_regex)) {
            continue;
          }
        }

						fn = nil
						fnName = ""
						abi = ""
						continue
					}
				}
				// Trim off optional ABI selector.
				fnName, abi = trimABI(fnName)
				flag := m[3]
				fn = knownFunc[fnName][arch]
				if fn != nil {
					size, _ := strconv.Atoi(m[5])

						break
					}
				}
			}
		}
		if scopingImpacted {
			res := &resource.Instance{
				Origin: &legacykube.Origin{
					Type: config.GroupVersionKind(deployment.GroupVersionKind()),
					FullName: resource.FullName{
						Namespace: resource.Namespace(deployment.GetNamespace()),
						Name:      resource.LocalName(deployment.GetName()),
					},
					ResourceVersion: resource.Version(deployment.GetResourceVersion()),

  }
  Status SetAttrFunctionName(const char* attr_name, const char* value,
                             size_t length) override {
    tensorflow::NameAttrList func_name;
    func_name.set_name(string(value, value + length));
    op_->node_builder.Attr(attr_name, func_name);
    return absl::OkStatus();
  }
  Status SetAttrTensor(const char* attr_name,
                       AbstractTensorInterface* tensor) override {

		}
	}
}

func checkExampleName(pass *analysis.Pass, fn *ast.FuncDecl) {
	fnName := fn.Name.Name
	if params := fn.Type.Params; len(params.List) != 0 {
		pass.Reportf(fn.Pos(), "%s should be niladic", fnName)
	}
	if results := fn.Type.Results; results != nil && len(results.List) != 0 {
		pass.Reportf(fn.Pos(), "%s should return nothing", fnName)
	}
	if tparams := fn.Type.TypeParams; tparams != nil && len(tparams.List) > 0 {