// `.TnitOnce`.
func New[T any]() *Cache[T] {
	return &Cache[T]{}
}

// NewFromFunc allocates a new cached value instance and initializes it with an
// update function, making it ready for use.
func NewFromFunc[T any](ttl time.Duration, opts Opts, update func() (T, error)) *Cache[T] {
	return &Cache[T]{
		ttl:      ttl,
		updateFn: update,
		opts:     opts,
	}
}

// InitOnce initializes the cache with a TTL and an update function. It is

	BlockSize = "block_size"

	EnvEnable    = "MINIO_CACHE_ENABLE"
	EnvEndpoint  = "MINIO_CACHE_ENDPOINT"
	EnvBlockSize = "MINIO_CACHE_BLOCK_SIZE"
)

// DefaultKVS - default KV config for cache settings
var DefaultKVS = config.KVS{
	config.KV{
		Key:   Enable,
		Value: "off",
	},
	config.KV{
		Key:   Endpoint,
		Value: "",
	},
	config.KV{
		Key:   BlockSize,
		Value: "",
	},
}

)

// 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]

# Sourcing this enables Bazel remote cache (public, read-only)
# 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"
else
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache"

    - name: Cache Gradle Modules
      uses: actions/cache@v4
      with:
        path: |
          ~/.gradle/caches/modules-2/
          ~/.gradle/caches/build-cache-1/
          ~/.gradle/caches/signatures/
          ~/.gradle/caches/keyrings/
        key: ${{ runner.os }}-gradle-cache-${{ hashFiles('gradle/wrapper/gradle-wrapper.properties') }}

    /**
     * Puts the specified data into the cache. <strong>Warning:</strong> The cache will directly save the provided
     * reference. If the cached data is mutable, i.e. could be modified after being put into the cache, the caller is
     * responsible for creating a copy of the original data and store the copy in the cache.
     *
     * @param request The repository request from which this cache was retrieved, must not be {@code null}.

)

func TestCache(t *testing.T) {
	cache := New[time.Time]()
	t.Parallel()
	cache.InitOnce(2*time.Second, Opts{},
		func() (time.Time, error) {
			return time.Now(), nil
		},
	)

	t1, _ := cache.Get()

	t2, _ := cache.Get()

	if !t1.Equal(t2) {
		t.Fatalf("expected time to be equal: %s != %s", t1, t2)
	}

	time.Sleep(3 * time.Second)
	t3, _ := cache.Get()

	if t1.Equal(t3) {

				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

			remove[id] = struct{}{}
			continue
		}
		if cache.id != id {
			logger.Info("cache ID mismatch %s != %s", id, cache.id)
			remove[id] = struct{}{}
			continue
		}
		if cache.bucket != b.bucket {
			logger.Info("cache bucket mismatch %s != %s", b.bucket, cache.bucket)
			remove[id] = struct{}{}
			continue
		}
	}

	// If above limit, remove the caches with the oldest handout time.