David P. Baker <******@****.***> 1641482883 -0800

				Netns:    existing.Netns,
			}
			// already in cache
			return existing.Netns
		}
		log.Debug("netns inode mismatch, using the new one")
	}

	p.addToCacheUnderLock(uid, workload)
	return workload.Netns
}

// Update the cache with the given uid and nspath. Return the Netns for the given uid.
// If uid is already present, a cached Netns is returned, and the given nspath is ignored.

# Sourcing this enables Bazel remote cache (read and write)
# Note that "_push" cache configs write to GCS buckets and require
# authentication. If you are not a Googler, source "public_cache" to enable the
# public read-only cache.
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache_push"
else

    auto it = cache_.find(key);
    if (it == cache_.end()) {
      return false;
    }
    lru_list_.erase(it->second.lru_iterator);
    cache_.erase(it);
    return true;
  }

  /// The maximum age of entries in the cache, in seconds. A value of 0 means
  /// that no entry is ever placed in the cache.
  const uint64_t max_age_;

  /// The maximum number of entries in the cache. A value of 0 means there is no

// dataUsageCacheV2 contains a cache of data usage entries version 2.
type dataUsageCacheV2 struct {
	Info  dataUsageCacheInfo
	Cache map[string]dataUsageEntryV2
}

// dataUsageCacheV3 contains a cache of data usage entries version 3.
type dataUsageCacheV3 struct {
	Info  dataUsageCacheInfo
	Cache map[string]dataUsageEntryV3
}

// dataUsageCacheV4 contains a cache of data usage entries version 4.

)

// metricsCache - cache for metrics.
//
// When serving metrics, this cache is passed to the MetricsLoaderFn.
//
// This cache is used for metrics that would result in network/storage calls.
type metricsCache struct {
	dataUsageInfo       *cachevalue.Cache[DataUsageInfo]
	esetHealthResult    *cachevalue.Cache[HealthResult]
	driveMetrics        *cachevalue.Cache[storageMetrics]

):
    return {"counter": count, "subcounter": subcount}


@app.get("/sub-counter-no-cache/")
async def get_sub_counter_no_cache(
    subcount: int = Depends(super_dep),
    count: int = Depends(dep_counter, use_cache=False),
):
    return {"counter": count, "subcounter": subcount}


@app.get("/scope-counter")
async def get_scope_counter(

	found := false
	snap := p.ReadCurrentPodSnapshot()
	for k, v := range snap {
		if k == "123" && v == (WorkloadInfo{}) {
			found = true
		}
	}
	if !found {
		t.Fatalf("expected pod 123 to be in the cache")
	}
}

func TestUpsertPodCacheWithLiveNetns(t *testing.T) {
	p := newPodNetnsCache(openNsTestOverride)

	pod := &corev1.Pod{ObjectMeta: metav1.ObjectMeta{UID: "testUID"}}
	ns := newFakeNsInode(inc(), 1)

				return
			}
		case "Cache":
			var zb0002 uint32
			zb0002, err = dc.ReadMapHeader()
			if err != nil {
				err = msgp.WrapError(err, "Cache")
				return
			}
			if z.Cache == nil {
				z.Cache = make(map[string]dataUsageEntry, zb0002)
			} else if len(z.Cache) > 0 {
				for key := range z.Cache {
					delete(z.Cache, key)
				}
			}
			for zb0002 > 0 {
				zb0002--

        if (taskResult is TaskSuccessResult && !taskResult.isFromCache && !taskResult.isUpToDate) {
            println("CACHE_MISS in task $taskPath")
            cacheMiss.set(true)
        }
    }
}


/**
 *  We monitor some tasks in non-seed builds. If a task executed in a non-seed build, we think it as "CACHE_MISS".
 */