}

void TFE_ContextGetFunctionDef(TFE_Context* ctx, const char* function_name,
                               TF_Buffer* buf, TF_Status* status) {
  auto* function_def = tensorflow::unwrap(ctx)->FindFunctionDef(function_name);
  if (function_def == nullptr) {
    status->status = tensorflow::errors::NotFound(
        "Unable to find FunctionDef with name: ", function_name);
    return;
  }

                                                     const char* function_name,
                                                     TF_Buffer* buf,
                                                     TF_Status* status);

// Get GraphDebugInfo containing stack traces mapping to node names
TF_CAPI_EXPORT extern void TFE_ContextGetGraphDebugInfo(
    TFE_Context* ctx, const char* function_name, TF_Buffer* buf,
    TF_Status* status);

    return 0;
  }
  return tensor->TotalBytes();
}

TFE_Op* TFE_NewOp(TFE_Context* ctx, const char* op_or_function_name,
                  TF_Status* status) {
  tensorflow::ImmediateExecutionOperation* new_op =
      tensorflow::unwrap(ctx)->CreateOperation();
  status->status = new_op->Reset(op_or_function_name, nullptr);
  if (!status->status.ok()) {
    new_op->Release();
    new_op = nullptr;
  }

                                           grad->record->stack_traces());
  if (TF_GetCode(status) != TF_OK) return;

  tensorflow::GradientDef gdef;
  gdef.set_function_name(func->record->fdef().signature().name());
  gdef.set_gradient_func(grad->record->fdef().signature().name());
  status->status = g->graph.AddGradientDef(std::move(gdef));
}

int TF_GraphNumFunctions(TF_Graph* g) {

 public:
  FunctionErrorInjectionPass(string error_node, string error_device)
      : error_node_(error_node), error_device_(error_device) {}
  tensorflow::Status Run(const std::string& function_name,
                         const tensorflow::DeviceSet& device_set,
                         const tensorflow::ConfigProto& config_proto,
                         const FunctionOptions& function_options,

typealias ParameterNamesSupplier = (String) -> List<String>?


private
fun ParameterNamesSupplier.parameterNamesFor(typeName: String, functionName: String, parameterTypeNames: List<String>): List<String>? =
    this("$typeName.$functionName(${parameterTypeNames.joinToString(",")})")


/**
 * Provides [ApiType] instances by Kotlin source name from a class path.
 *

    val couldBeExtensionFunction = paramCount > 0
    val paramCountWithReceiver = paramCount - 1
    val functionFqName = "$qualifiedBaseName.${method.name}"

    return collectDescendantsOfType { ktFunction ->
        // Name check
        if (ktFunction.fqName?.asString() != functionFqName) {
            return@collectDescendantsOfType false
        }

        // Preliminary extension function check

	// Used during evaluation for aggregation funcs
	aggregate *aggVal
}

// SimpleArgFunc represents functions with simple expression
// arguments.
type SimpleArgFunc struct {
	FunctionName string `parser:" @(\"AVG\" | \"MAX\" | \"MIN\" | \"SUM\" |  \"COALESCE\" | \"NULLIF\" | \"TO_STRING\" | \"TO_TIMESTAMP\" | \"UTCNOW\" | \"CHAR_LENGTH\" | \"CHARACTER_LENGTH\" | \"LOWER\" | \"UPPER\") "`

          path: Path,
          functionName: String,
          parameterName: String,
        ): Path {
          events.add("$functionName:$path")
          return path
        }

        override fun onPathResult(
          path: Path,
          functionName: String,
        ): Path {
          events.add("$functionName:$path")
          return path
        }
      }

    }

    interface FunctionCallExpected : KtFirDiagnostic<PsiElement> {
        override val diagnosticClass get() = FunctionCallExpected::class
        val functionName: String
        val hasValueParameters: Boolean
    }

    interface IllegalSelector : KtFirDiagnostic<PsiElement> {
        override val diagnosticClass get() = IllegalSelector::class
    }