byteCount: Long,
    ): Long {
      check(fileOperator != null)

      val source: Int =
        synchronized(this@Relay) {
          // We need new data from upstream.
          while (true) {
            val upstreamPos = this@Relay.upstreamPos
            if (sourcePos != upstreamPos) break

            // No more data upstream. We're done.
            if (complete) return -1L

        if (routeDatabase.shouldPostpone(route)) {
          postponedRoutes += route
        } else {
          routes += route
        }
      }

      if (routes.isNotEmpty()) {
        break
      }
    }

    if (routes.isEmpty()) {
      // We've exhausted all Proxies so fallback to the postponed routes.
      routes += postponedRoutes
      postponedRoutes.clear()
    }

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

indicated below, the terms and conditions of the EPL still apply to any source code in the Content
and such source code may be obtained at <a href="http://www.eclipse.org/">http://www.eclipse.org</a>.</p>

<h3>Third Party Content</h3>
<p>The Content includes items that have been sourced from third parties as set
out below. If you did not receive this Content directly from the Eclipse Foundation,

for an example.

See
[this commit](https://github.com/tensorflow/tensorflow/commit/5f7f05a80aac9b01325a78ec3fcff0dbedb1cc23)
as a rough example of the steps below.

All the files referenced below are located in the same directory as this README,
unless indicated otherwise.

1) Add the new version to the `VERSIONS` variable inside
   `tensorflow/tools/toolchains/python/python_repo.bzl`. \

```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)

```

NOTE: `http://endpoint:port/path` is a placeholder value to indicate the URL format, please change this accordingly as per your configuration.

MinIO also honors environment variable for HTTP target logging as shown below, this setting will override the endpoint settings in the MinIO server config.

```
export MINIO_LOGGER_WEBHOOK_ENABLE_target1="on"
export MINIO_LOGGER_WEBHOOK_AUTH_TOKEN_target1="token"

    val result = mutableListOf<Story>()
    var i = 0
    while (true) { // break after last test.
      val storyResourceName =
        String.format(
          "/hpack-test-case/%s/story_%02d.json",
          testFolderName,
          i,
        )
      val storyInputStream =
        HpackJsonUtil::class.java.getResourceAsStream(storyResourceName)
          ?: break
      try {
        storyInputStream.use {
          val story =

#      Ex. public_cache_push -- Use TF's public cache (read and write, Googlers only)
#      Ex. rbe        -- Use RBE for faster builds (Googlers only; see below)
#      Ex. no_docker  -- Disable docker on enabled platforms
#    See full examples below for more details on these. Some other modifiers are:
#      Ex. versions_upload -- for TF official release versions

 *
 * ```kotlin
 * val response: Response = call.execute()
 * val multipartReader = MultipartReader(response.body!!)
 *
 * multipartReader.use {
 *   while (true) {
 *     val part = multipartReader.nextPart() ?: break
 *     process(part.headers, part.body)
 *   }
 * }
 * ```
 *
 * Note that [nextPart] will skip any unprocessed data from the preceding part. If the preceding