var (
	update       = flag.Bool("update", false, "update golden files on failure")
	fast         = flag.Bool("fast", false, "impose a quick, possibly flaky timeout on recorded tests")
	keyFile      = flag.String("keylog", "", "destination file for KeyLogWriter")
	bogoMode     = flag.Bool("bogo-mode", false, "Enabled bogo shim mode, ignore everything else")
	bogoFilter   = flag.String("bogo-filter", "", "BoGo test filter")

```

`.add_task()` receives as arguments:

* A task function to be run in the background (`write_notification`).
* Any sequence of arguments that should be passed to the task function in order (`email`).
* Any keyword arguments that should be passed to the task function (`message="some notification"`).

## Dependency Injection

				for c != '\n' && r.err == nil && !r.eof {
					c = r.readByteNoBuf()
				}
				startLine = true
			}
		}
	}
	return false
}

// readKeyword reads the given keyword from the input.
// If the keyword is not present, readKeyword records a syntax error.
func (r *importReader) readKeyword(kw string) {
	r.peekByte(true)
	for i := 0; i < len(kw); i++ {
		if r.nextByte(false) != kw[i] {

It will take the `dict` at `result.value`, and take each of its keys and values and pass them as key-values to `UserInDB` as keyword arguments.

So, if the `dict` contains:

```Python
{
    "username": "johndoe",
    "hashed_password": "some_hash",
}
```

It will be passed to `UserInDB` as:

```Python

So, we get a Pydantic model from the data in another Pydantic model.

#### Unwrapping a `dict` and extra keywords

And then adding the extra keyword argument `hashed_password=hashed_password`, like in:

```Python
UserInDB(**user_in.dict(), hashed_password=hashed_password)
```

...ends up being like:

```Python
UserInDB(

...Python has a little special syntax for that.

Pass `*`, as the first parameter of the function.

Python won't do anything with that `*`, but it will know that all the following parameters should be called as keyword arguments (key-value pairs), also known as <abbr title="From: K-ey W-ord Arg-uments"><code>kwargs</code></abbr>. Even if they don't have a default value.

```Python hl_lines="7"

!!! tip
    Instead of passing each of the keyword arguments to `Item` and reading each one of them from the Pydantic *model*, we are generating a `dict` with the Pydantic *model*'s data with:

    `item.dict()`

    and then we are passing the `dict`'s key-value pairs as the keyword arguments to the SQLAlchemy `Item`, with:

    `Item(**item.dict())`

    expected_input_keys: Collection[str],
) -> Callable[[rd.RepresentativeSample], rd.RepresentativeSample]:
  """Creates a validator function for a representative sample.

  Args:
    expected_input_keys: Input keys (keyword argument names) that the function
      the sample will be used for is expecting to receive.

  Returns:
    A callable that validates a `RepresentativeSample`.
  """

  def validator(

	}
	return token.ILLEGAL
}

func (check *Checker) suspendedCall(keyword string, call *ast.CallExpr) {
	var x operand
	var msg string
	var code Code
	switch check.rawExpr(nil, &x, call, nil, false) {
	case conversion:
		msg = "requires function call, not conversion"
		code = InvalidDefer
		if keyword == "go" {
			code = InvalidGo
		}
	case expression:
		msg = "discards result of"

	logger := klog.FromContext(ctx)
	if err == nil || errors.HasStatusCause(err, v1.NamespaceTerminatingCause) {
		dc.queue.Forget(key)
		return
	}
	ns, name, keyErr := cache.SplitMetaNamespaceKey(key)
	if keyErr != nil {
		logger.Error(err, "Failed to split meta namespace cache key", "cacheKey", key)
	}

	if dc.queue.NumRequeues(key) < maxRetries {