* Check if you can understand what is the **purpose** and use case of the person asking.

* Then check if the question (the vast majority are questions) is **clear**.

* In many cases the question asked is about an imaginary solution from the user, but there might be a **better** one. If you can understand the problem and use case better, you might be able to suggest a better **alternative solution**.

Those parameters are what **FastAPI** will use to "solve" the dependency.

In both cases, it will have:

* An optional `q` query parameter that is a `str`.
* A `skip` query parameter that is an `int`, with a default of `0`.
* A `limit` query parameter that is an `int`, with a default of `100`.

In both cases the data will be converted, validated, documented on the OpenAPI schema, etc.

## Use it { #use-it }

	switch reason {
	case "required":
		// Anonymous users does not have storage.xyz access to project 123.
		fallthrough
	case "keyInvalid":
		fallthrough
	case "forbidden":
		err = PrefixAccessDenied{
			Bucket: bucket,
			Object: object,
		}
	case "invalid":
		err = BucketNameInvalid{
			Bucket: bucket,
		}
	case "notFound":
		if object != "" {

 * created for testing should have Integer node and String edge objects.
 *
 * <p>Test cases that should be handled similarly in any graph implementation are included in this
 * class. For example, testing that {@code nodes()} method returns the set of the nodes in the
 * graph. The following test cases are left for the subclasses to handle:
 *
 * <ul>
 *   <li>Test cases related to whether the graph is directed, undirected, mutable, or immutable.

{* ../../docs_src/query_params_str_validations/tutorial014_an_py310.py hl[10] *}

## Custom Validation { #custom-validation }

There could be cases where you need to do some **custom validation** that can't be done with the parameters shown above.

In those cases, you can use a **custom validator function** that is applied after the normal validation (e.g. after validating that the value is a `str`).

     * Covers all defined error classes and codes, including default cases.
     */
    private static Stream<Arguments> provideErrorClassAndCodeForGetErrorString() {
        return Stream.of(
                // SUCCESS
                Arguments.of(NbtException.SUCCESS, 0, "SUCCESS"),

                // ERR_NAM_SRVC
                // Note: FMT_ERR case has a bug in NbtException.getErrorString() - missing break statement causes fallthrough

	case errUploadIDNotFound.Error():
		return errUploadIDNotFound
	case errFaultyDisk.Error():
		return errFaultyDisk
	case errFaultyRemoteDisk.Error():
		return errFaultyRemoteDisk
	case errFileCorrupt.Error():
		return errFileCorrupt
	case errUnexpected.Error():
		return errUnexpected
	case errDiskFull.Error():
		return errDiskFull
	case errVolumeNotFound.Error():
		return errVolumeNotFound

# Advanced Dependencies { #advanced-dependencies }

## Parameterized dependencies { #parameterized-dependencies }

All the dependencies we have seen are a fixed function or class.

But there could be cases where you want to be able to set parameters on the dependency, without having to declare many different functions or classes.

Let's imagine that we want to have a dependency that checks if the query parameter `q` contains some fixed content.

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
      bytesIn.write(encoded)
      hpackReader.readHeaders()

   * will return {@code Double.MAX_VALUE}, not {@code Double.POSITIVE_INFINITY}.
   *
   * <p>For the case of {@link RoundingMode#HALF_EVEN}, this implementation uses the IEEE 754
   * default rounding mode: if the two nearest representable values are equally near, the one with
   * the least significant bit zero is chosen. (In such cases, both of the nearest representable