* limitations under the License.
 */
package okhttp3.internal.http2.hpackjson

/**
 * Representation of one story, a set of request headers to encode or decode. This class is used
 * reflectively with Moshi to parse stories from files.
 */
data class Story(
  val description: String? = null,
  val cases: List<Case>,
  val fileName: String? = null,
) {
  // Used as the test name.

import okhttp3.internal.http2.hpackjson.Story
import org.junit.jupiter.api.Assumptions.assumeFalse
import org.junit.jupiter.params.ParameterizedTest
import org.junit.jupiter.params.provider.ArgumentsSource

class HpackDecodeInteropTest : HpackDecodeTestBase() {
  @ParameterizedTest
  @ArgumentsSource(StoriesTestProvider::class)
  fun testGoodDecoderInterop(story: Story) {
    assumeFalse(
      story === Story.MISSING,

  fun testRoundTrip(story: Story) {
    assumeFalse(
      story === Story.MISSING,
      "Test stories missing, checkout git submodule",
    )

    val newCases = mutableListOf<Case>()
    for (case in story.cases) {
      hpackWriter.writeHeaders(case.headersList)
      newCases += case.copy(wire = bytesOut.readByteString())
    }

    testDecoder(story.copy(cases = newCases))
  }

        },
      ).add(KotlinJsonAdapterFactory())
      .build()
  private val STORY_JSON_ADAPTER = MOSHI.adapter(Story::class.java)

  private val fileSystem = FileSystem.SYSTEM

  private fun readStory(source: BufferedSource): Story = STORY_JSON_ADAPTER.fromJson(source)!!

  private fun readStory(file: Path): Story {
    fileSystem.read(file) {
      return readStory(this)
    }
  }

import okhttp3.internal.http2.hpackjson.Story
import okio.Buffer

/**
 * Tests Hpack implementation using https://github.com/http2jp/hpack-test-case/
 */
open class HpackDecodeTestBase {
  private val bytesIn = Buffer()
  private val hpackReader = Hpack.Reader(bytesIn, 4096)

  protected fun testDecoder(story: Story) {
    for (testCase in story.cases) {
      val encoded = testCase.wire ?: continue

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

But still, the final experience is not the best. 😞

---

This would be the parallel equivalent story for burgers. 🍔

For a more "real life" example of this, imagine a bank.

## Why Pull Requests?

Pull Requests (PRs) drive quality in MinIO’s codebase by:
- Enabling peer review without pair programming.
- Documenting changes for future reference.
- Ensuring commits tell a clear story of development.

**A poor commit lasts forever, even if code is refactored.**

## Crafting a Quality PR

A strong MinIO PR:
- Delivers a complete, valuable change (feature, bug fix, or improvement).

}

// replayItems - Reads the items from the store and replays.
func replayItems[I any](store Store[I], doneCh <-chan struct{}, log logger, id string) <-chan Key {
	keyCh := make(chan Key)

	go func() {
		defer xioutil.SafeClose(keyCh)

		retryTicker := time.NewTicker(retryInterval)
		defer retryTicker.Stop()

		for {
			for _, key := range store.List() {
				select {
				case keyCh <- key:

func (store *IAMStoreSys) ListGroups(ctx context.Context) (res []string, err error) {
	cache := store.lock()
	defer store.unlock()

	return store.updateGroups(ctx, cache)
}

// listGroups - lists groups - fetch groups from cache
func (store *IAMStoreSys) listGroups(ctx context.Context) (res []string, err error) {
	cache := store.rlock()
	defer store.runlock()

		logger.Info("IAM expired STS purge took %.2fs", took)
	}

	// Store the newly populated map in the iam cache. This takes care of
	// removing stale entries from the existing map.
	cache.iamSTSAccountsMap = stsAccountsFromStore

	stsAccPoliciesFromStore.Range(func(k string, v MappedPolicy) bool {
		cache.iamSTSPolicyMap.Store(k, v)
		return true
	})

	return nil
}