#include "tensorflow/compiler/mlir/tensorflow/ir/tf_verifiers.h"

#define GET_OP_FWD_DEFINES
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_all_ops.h.inc"
#define GET_OP_CLASSES
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_remaining_ops.h.inc"

	authorizationConfigAutomaticReloadLastTimestampSeconds.WithLabelValues("failure", apiServerIDHash).SetToCurrentTime()
}

func RecordAuthorizationConfigAutomaticReloadSuccess(apiServerID string) {
	apiServerIDHash := getHash(apiServerID)
	authorizationConfigAutomaticReloadsTotal.WithLabelValues("success", apiServerIDHash).Inc()

};

}  // namespace tf_mlrt
}  // namespace tensorflow

#define GET_OP_CLASSES
#include "tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_mlrt_ops.h.inc"
#define GET_OP_CLASSES
#include "tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_ops.h.inc"

// Copyright (C) 2023 Gradle, Inc.
//
// Licensed under the Creative Commons Attribution-Noncommercial-ShareAlike 4.0 International License.;
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//      https://creativecommons.org/licenses/by-nc-sa/4.0/
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,

= vendor/github.com/cyphar/filepath-securejoin licensed under: =

Copyright (C) 2014-2015 Docker Inc & Go Authors. All rights reserved.
Copyright (C) 2017 SUSE LLC. All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

   * Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.

    : mlir::Dialect(/*name=*/"tf_mlrt_tpu", context,
                    mlir::TypeID::get<TensorflowMlrtTpuDialect>()) {
  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_mlrt_tpu_ops.cpp.inc"
      >();
}

}  // namespace tf_mlrt_tpu
}  // namespace tensorflow

//===----------------------------------------------------------------------===//
// TableGen'd op method definitions

#include "mlir/Interfaces/SideEffectInterfaces.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/quantization/common/ir/QuantOpsDialect.h.inc"
#define GET_OP_CLASSES

#include "tensorflow/compiler/mlir/quantization/common/ir/QuantOps.h.inc"

func (c *Repair) runOnce() error {
	return retry.RetryOnConflict(retry.DefaultBackoff, func() error {
		err := c.doRunOnce()
		if err != nil {
			nodePortRepairReconcileErrors.Inc()
		}
		return err
	})
}

// doRunOnce verifies the state of the port allocations and returns an error if an unrecoverable problem occurs.
func (c *Repair) doRunOnce() error {

		if key.Name == "conflict-for-ever" {
			retries.Inc()
			return errors.New("conflict error")
		}
		if key.Name == "conflict-success" {
			retries.Inc()
			if retries.Load() < 5 {
				return errors.New("conflict error")
			}
			success.Inc()
			return nil
		}
		success.Inc()
		return nil
	})
	go queue.Run(test.NewStop(t))
	retry.UntilOrFail(t, queue.HasSynced)

	return &StackCounter{name: name, depth: depth, file: &defaultFile}
}

// Inc increments a stack counter. It computes the caller's stack and
// looks up the corresponding counter. It then increments that counter,
// creating it if necessary.
func (c *StackCounter) Inc() {
	pcs := make([]uintptr, c.depth)
	n := runtime.Callers(2, pcs) // caller of Inc
	pcs = pcs[:n]

	c.mu.Lock()
	defer c.mu.Unlock()

	// Existing counter?