namespace mlir {
namespace odml {
namespace {

#define GEN_PASS_DEF_SHLOSIMPLIFYPASS
#include "tensorflow/compiler/mlir/lite/stablehlo/odml_converter/passes.h.inc"
#include "tensorflow/compiler/mlir/lite/stablehlo/odml_converter/transforms/generated_shlo_simplify.inc"

// Performs misc odml "cleanup" on shlo dialect. This is a functional standin
// for canonicalization and folding which is not offered directly by the
// shlo implementation.

    NVOFBkpdn627G190
    -----END CERTIFICATE-----
    """.trimIndent().decodeCertificatePem()

  // CN=Entrust Root Certification Authority, OU="(c) 2006 Entrust, Inc.", OU=www.entrust.net/CPS is incorporated by reference, O="Entrust, Inc.", C=US
  val entrustRootCertificateAuthority =
    """
    -----BEGIN CERTIFICATE-----
    MIIEkTCCA3mgAwIBAgIERWtQVDANBgkqhkiG9w0BAQUFADCBsDELMAkGA1UEBhMC

	case !ok:
		resultLabel = failureLabel
	default:
		resultLabel = successLabel
		authenticatedUserCounter.WithContext(ctx).WithLabelValues(compressUsername(resp.User.GetName())).Inc()
	}

	authenticatedAttemptsCounter.WithContext(ctx).WithLabelValues(resultLabel).Inc()
	authenticationLatency.WithContext(ctx).WithLabelValues(resultLabel).Observe(authFinish.Sub(authStart).Seconds())
}

				// that we're impersonating dist list if knowing that becomes important?
				telemetry.Inc("go/subcommand:tool-dist")
				return
			}
		}

		telemetry.Inc("go/subcommand:tool-unknown")
		// Emit the usual error for the missing tool.
		_ = base.Tool(toolName)
	} else {
		// Increment a counter for the tool subcommand with the tool name.
		telemetry.Inc("go/subcommand:tool-" + toolName)
	}

	if toolN {
		cmd := toolPath

// with this notice. The go code is a simplified version of
// the original C.
//
// ====================================================
// Copyright (C) 1993 by Sun Microsystems, Inc. All rights reserved.
//
// Developed at SunPro, a Sun Microsystems, Inc. business.
// Permission to use, copy, modify, and distribute this
// software is freely granted, provided that this notice
// is preserved.

// Copyright 2006, Google Inc.
// 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.
//     * Redistributions in binary form must reproduce the above

#define GEN_PASS_DEF_REMOVESHARDINGCUSTOMCALLPASS
#include "tensorflow/compiler/mlir/quantization/stablehlo/passes/passes.h.inc"

// Include patterns generated from `remove_sharding_custom_call.td`.
#include "tensorflow/compiler/mlir/quantization/stablehlo/passes/remove_sharding_custom_call.inc"

class RemoveShardingCustomCallPass
    : public impl::RemoveShardingCustomCallPassBase<
          RemoveShardingCustomCallPass> {

func (r *monitor) ObserveReconciliationResult(action ActionLabel, err ErrorLabel, duration time.Duration) {
	reconciliationsTotal.WithLabelValues(string(action), string(err)).Inc()
	reconciliationsDuration.WithLabelValues(string(action), string(err)).Observe(duration.Seconds())
}

// ObserveMetricComputationResult observes some metrics from a metric computation result.

namespace mlir {
namespace tf_saved_model {
namespace {
using ::tensorflow::Session;

#define GEN_PASS_DEF_LIFTVARIABLESTESTPASS
#include "tensorflow/compiler/mlir/tensorflow/transforms/test_passes.h.inc"

// This pass is only available in the tf-opt binary for testing.
class LiftVariablesTestPass
    : public impl::LiftVariablesTestPassBase<LiftVariablesTestPass> {
 public:

#include "tensorflow/compiler/mlir/quantization/common/ir/QuantOpsDialect.cc.inc"

namespace mlir::quant::ir {

using mlir::quant::QuantizedType;

void QuantDialect::initialize() {
  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/quantization/common/ir/QuantOps.cc.inc"
      >();
}

OpFoldResult StorageCastOp::fold(FoldAdaptor) {