* [OkHttp Profiler](https://plugins.jetbrains.com/plugin/11249-okhttp-profiler): An IntelliJ plugin for monitoring OkHttp calls.
 * [OkReplay](https://github.com/airbnb/okreplay): Record and replay OkHttp network interaction in your tests.
 * [okhttp-signpost](https://github.com/pakerfeldt/okhttp-signpost): OAuth signing with signpost and OkHttp.

     * Read a connection-level ping from the peer. `ack` indicates this is a reply. The data
     * in `payload1` and `payload2` opaque binary, and there are no rules on the content.
     */
    fun ping(
      ack: Boolean,
      payload1: Int,
      payload2: Int,
    )

    /**
     * The peer tells us to stop creating streams. It is safe to replay streams with

    upstream.writeUtf8("abcde")
    val relay = edit(file, upstream, metadata, 1024)
    val source1 = relay.newSource()
    val source2 = relay.newSource()
    source1!!.close()
    source1.close() // Unnecessary. Shouldn't decrement the reference count.
    assertThat(relay.isClosed).isFalse()
    source2!!.close()
    assertThat(relay.isClosed).isTrue()
    assertFile(Relay.PREFIX_DIRTY, -1L, -1, null, null)
  }

    file!!.channel.force(false)

    // This file is complete.
    synchronized(this@Relay) {
      complete = true
    }

    upstream?.closeQuietly()
    upstream = null
  }

  fun metadata(): ByteString = metadata

  /**
   * Returns a new source that returns the same bytes as upstream. Returns null if this relay has
   * been closed and no further sources are possible. In that case callers should retry after

    assertContent("A", getResponse(newRequest("/a")))

    // Give the server time to disconnect.
    Thread.sleep(500)

    // If the request body is larger than OkHttp's replay buffer, the failure may still occur.
    val requestBodyChars = CharArray(requestSize)
    Arrays.fill(requestBodyChars, 'x')
    val requestBody = String(requestBodyChars)
    for (j in 0..1) {
      try {

    server.listener.assertFailure()
  }

  @Test
  fun protocolErrorInCloseResponseClosesConnection() {
    client.webSocket!!.close(1000, "Hello")
    server.processNextFrame()
    // Not closed until close reply is received.
    assertThat(client.closed).isFalse()

    // Manually write an invalid masked close frame.
    server.sink.write("888760b420bb635c68de0cd84f".decodeHex()).emit()

     */
    private
    fun adjustIndentation(initalJsonString: String): String {
        val indentationRegex = """^\s+""".toRegex(RegexOption.MULTILINE)
        return indentationRegex.replace(initalJsonString) { m ->
            " ".repeat(m.value.length * 2)
        }
    }

- [Deploy a Tenant from the MinIO Operator](https://min.io/docs/minio/kubernetes/upstream/operations/install-deploy-manage/deploy-minio-tenant.html)

Install Distributed MinIO on Linux:
- [Deploy Distributed MinIO on Linux](https://min.io/docs/minio/linux/operations/install-deploy-manage/deploy-minio-multi-node-multi-drive.html#deploy-distributed-minio)

### 2. Run distributed MinIO

Follow below steps to enable and use AlertManager.

## Deploy and start AlertManager
Install Prometheus AlertManager from https://prometheus.io/download/ and create configuration as below

```yaml
route:
  group_by: ['alertname']
  group_wait: 30s
  group_interval: 5m
  repeat_interval: 1h
  receiver: 'web.hook'
receivers:
  - name: 'web.hook'
    webhook_configs:

---
name: TensorFlow Lite in Play Services issue
about: Use this template for issues with TensorFlow Lite in Google Play Services
labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version
  (`Settings` > `Apps` > `Google Play Services` > `App details`):