second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

`**second_user_data` means:

Pass the keys and values of the `second_user_data` dict directly as key-value arguments, equivalent to: `User(id=4, name="Mary", joined="2018-11-30")`

///

### Editor support

# o cursorSelectFetchSize: (NotRequired - Default null)
# o refreshMap: (NotRequired - Default map:{})
# o optimisticLockMap: (NotRequired - Default map:{})
#
# *The line that starts with '#' means comment-out.
#
map:{
    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isAvailableAddingSchemaToTableSqlName: (NotRequired - Default false)
    #   [true]

	// Make sure only 1 callhome is running on the cluster.
	locker := objAPI.NewNSLock(minioMetaBucket, "callhome/runCallhome.lock")
	lkctx, err := locker.GetLock(ctx, callhomeLeaderLockTimeout)
	if err != nil {
		// lock timedout means some other node is the leader,
		// cycle back return 'true'
		return true
	}

	ctx = lkctx.Context()
	defer locker.Unlock(lkctx)

	// Perform callhome once and then keep running it at regular intervals.

because STS tokens are now signed with the site replicator service account credentials, thus allowing flexibility in the independent management of root accounts across sites and the ability to disable root accounts eventually.

However, this means that STS tokens signed previously by root credentials will no longer be valid upon upgrading to the latest version with this change. Please re-generate them as you usually do. Additionally, if site replication is ever removed - the STS tokens will...

## How the configuration works

We use Kotlin portable DSL to store TeamCity configuration, which means you can easily create a new pipeline
based on a specific branch. Currently, we have two pipelines: `master` and `release`, but you can easily create
and test another isolated pipeline from any branch. 

    val name = headers.name(i)
    val value = headers.value(i)

    when {
      name.equals("Cache-Control", ignoreCase = true) -> {
        if (headerValue != null) {
          // Multiple cache-control headers means we can't use the raw value.
          canUseHeaderValue = false
        } else {
          headerValue = value
        }
      }
      name.equals("Pragma", ignoreCase = true) -> {

Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.
Typically, enabling compression on spinning disk systems

> NOTE: Server side replication is supported for idempotent versions on delete marked objects.

### Motivation

  // Blocks until the previous `StartExecute` has run `TFE_Execute` on each
  // device. If is_async=false (constructor argument) this means the ops have
  // run and have results. If is_async=true it means that all of the
  // device-specific executors have scheduled the op.
  //
  // Accepts inferred shapes for outputs (`expected_output_shapes`), which if

   * in practice. To simplify the implementation, we've avoided implementing the flexible rules in
   * favor of supporting what's actually used in practice. That means if these assertions ever fail,
   * the implementation will need to be revisited to support a more flexible rule.
   */
  private fun assertWildcardRule(rule: String) {
    check(rule.startsWith(WILDCARD_CHAR)) {