}
	return nil
}

func autoConvert_v1_Event_To_audit_Event(in *Event, out *audit.Event, s conversion.Scope) error {
	out.Level = audit.Level(in.Level)
	out.AuditID = types.UID(in.AuditID)
	out.Stage = audit.Stage(in.Stage)
	out.RequestURI = in.RequestURI
	out.Verb = in.Verb
	out.User = in.User
	out.ImpersonatedUser = (*authenticationv1.UserInfo)(unsafe.Pointer(in.ImpersonatedUser))

			Namespace: namespace,
			Subsystem: subsystem,
			Name:      "priority_level_seat_utilization",
			Help:      "Observations, at the end of every nanosecond, of utilization of seats for any stage of execution (but only initial stage for WATCHes)",
			// Buckets for both 0.99 and 1.0 mean PromQL's histogram_quantile will reveal saturation
			Buckets:        []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.95, 0.99, 1},

            val stage = model.stages[stageNumber - 1]
            val prevStage = if (stageNumber > 1) model.stages[stageNumber - 2] else null

            if (stage.runsIndependent) {
                return@forEach
            }

            assertEquals(
                stage.specificBuilds.size + stage.functionalTests.size + stage.performanceTests.size + stage.docsTests.size + (if (prevStage != null) 1 else 0),

			if d.stage != dsSeenIHDR && d.stage != dsSeenPLTE {
				return chunkOrderError
			}
		} else if d.stage != dsSeenIHDR {
			return chunkOrderError
		}
		d.stage = dsSeentRNS
		return d.parsetRNS(length)
	case "IDAT":
		if d.stage < dsSeenIHDR || d.stage > dsSeenIDAT || (d.stage == dsSeenIHDR && cbPaletted(d.cb)) {
			return chunkOrderError
		} else if d.stage == dsSeenIDAT {

	# TYPE apiserver_egress_dialer_dial_failure_count counter
	apiserver_egress_dialer_dial_failure_count{protocol="fake_protocol",stage="connect",transport="fake_transport"} 1
`,
		},
		"connect succeeded, proxy failed": {
			connectorErr: false,

	}
	expectedStages := func(stages ...auditinternal.Stage) eventCheck {
		return func(events []*auditinternal.Event) error {
			if len(stages) != len(events) {
				return fmt.Errorf("expected %d stages, but got %d events", len(stages), len(events))
			}
			for i, stage := range stages {
				if events[i].Stage != stage {
					return fmt.Errorf("expected stage %q, got %q", stage, events[i].Stage)
				}
			}
			return nil
		}
	}

    }
}


@VisibleForTesting
fun templateIdFor(programTarget: ProgramTarget, programKind: ProgramKind, stage: String): String =
    programTarget.name + "/" + programKind.name + "/" + stage


private
fun classLoaderScopeIdFor(scriptPath: String, stage: String) =
    "kotlin-dsl:$scriptPath:$stage"


private

			fatal("error closing output meta-data file %s: %v", fpath, err)
		}
	}()

	args := mm.astate.ArgsSummary()
	cfw := encodecounter.NewCoverageDataWriter(cf, coverage.CtrULeb128)
	if err := cfw.Write(metaHash, args, mm); err != nil {
		fatal("counter file write failed: %v", err)
	}
	mm.astate = &argstate{}
}

// VisitFuncs is used while writing the counter data files; it

The first stage will only be used to **install Poetry** and to **generate the `requirements.txt`** with your project dependencies from Poetry's `pyproject.toml` file.

This `requirements.txt` file will be used with `pip` later in the **next stage**.

In the final container image **only the final stage** is preserved. The previous stage(s) will be discarded.

// Timer accesses are protected by the lock t.mu, with a snapshot of
// t's state bits published in t.astate to enable certain fast paths to make
// decisions about a timer without acquiring the lock.
type timer struct {
	// mu protects reads and writes to all fields, with exceptions noted below.
	mu mutex

	astate  atomic.Uint8 // atomic copy of state bits at last unlock
	state   uint8        // state bits