program = strings.Replace(program, "$FUNCS", funcs.String(), 1)
	fmt.Print(program)
}

const testSegment = `
	f$F := $F(f)
	if math.Abs(float64(f$F) - f) < 0.05 {
		if v := $I(f$F); v != $I(i) {
			fmt.Printf("$I($F(%f)) = %v, expected %v\n", f, v, i)
		}
	}`

const testFunc =
`func test$I(f float64, i int64) {
	if i != int64($I(i))$TEST {
		return
	}

  return %1 : tensor<3x2xf32>
}
// CHECK-DAG: %[[CONST_0:.+]] = stablehlo.constant dense<{{\[\[}}0.000000e+00, 3.000000e+00], [1.000000e+00, 4.000000e+00], [2.000000e+00, 5.000000e+00]]> : tensor<3x2xf32>
// CHECK-NOT: transpose
// CHECK: return %[[CONST_0]] : tensor<3x2xf32>

// -----

// CHECK-LABEL: transpose_simple_4d
func.func @transpose_simple_4d() -> tensor<5x2x3x4xf32> {

        final LowMemoryDaemonExpirationStrategy lowMemoryDaemonExpirationStrategy = new LowMemoryDaemonExpirationStrategy(0.05);
        listenerManager.addListener(lowMemoryDaemonExpirationStrategy);
        strategies.add(new AllDaemonExpirationStrategy(ImmutableList.of(

    key: "value"
    value {
      tensor {
        dtype: DT_FLOAT
        tensor_shape {
          dim {
            size: 186
          }
        }

    key: "value"
    value {
      tensor {
        dtype: DT_FLOAT
        tensor_shape {
          dim {
            size: 186
          }
        }

import java.math.BigDecimal;

public interface PerformanceFlakinessDataProvider {
    /**
     * For the scenario whose flakiness rate is higher than 5%, we see it as "flaky scenario"
     */
    double FLAKY_THRESHOLD = 0.05;

    /**
     * Flakiness rate of a scenario is the number of times the scenario had a regression of an improvement with more than 99.9%

					// Just make sure it's not going too crazy.
					assertInEpsilon(t, "GC utilization", c[n-1].gcUtilization, c[n-2].gcUtilization, 0.05)
					assertInEpsilon(t, "GC utilization", c[n-1].gcUtilization, c[11].gcUtilization, 0.05)
				}
			},
		},
		{
			// This test sets a slow allocation rate and a small heap (close to the minimum heap size)

		time.Sleep(nextSleep)

		nextSleep += nextSleep
		if nextSleep > maxSleep {
			nextSleep = maxSleep
		}
		// Apply 10% jitter to avoid synchronizing collisions.
		nextSleep += time.Duration((0.1*rand.Float64() - 0.05) * float64(nextSleep))
	}
}

func closeFile(f *os.File) error {
	return f.Close()

			r := rng.Float32()
			n := rng.Float32()
			policyRule, matchingRDigests, matchingNDigests, skippingRDigests, skippingNDigests := genPolicyRuleWithSubjects(t, rng, fmt.Sprintf("t%d", i), rng.Float32() < 0.2, r < 0.10, n < 0.10, r < 0.05, n < 0.05)
			if testDebugLogs {
				t.Logf("policyRule=%s, mrd=%#+v, mnd=%#+v, srd=%#+v, snd=%#+v", fcfmt.Fmt(policyRule), matchingRDigests, matchingNDigests, skippingRDigests, skippingNDigests)
			}

server behaviour when ambiguous.

# Basic Usage

```kotlin
  private val client: OkHttpClient = OkHttpClient.Builder()
      .cache(Cache(
          directory = File(application.cacheDir, "http_cache"),
          // $0.05 worth of phone storage in 2020
          maxSize = 50L * 1024L * 1024L // 50 MiB
      ))
      .build()
```

## EventListener events