}
	if !bytes.Equal(a, b) {
		// a not equal b
	}
}

func ExampleCompare_search() {
	// Binary search to find a matching byte slice.
	var needle []byte
	var haystack [][]byte // Assume sorted
	_, found := slices.BinarySearchFunc(haystack, needle, bytes.Compare)
	if found {
		// Found it!
	}
}

func ExampleContains() {
	fmt.Println(bytes.Contains([]byte("seafood"), []byte("foo")))

}

func bmIndexRuneUnicode(rt *unicode.RangeTable, needle rune) func(b *testing.B, n int) {
	var rs []rune
	for _, r16 := range rt.R16 {
		for r := rune(r16.Lo); r <= rune(r16.Hi); r += rune(r16.Stride) {
			if r != needle {
				rs = append(rs, r)
			}
		}
	}
	for _, r32 := range rt.R32 {
		for r := rune(r32.Lo); r <= rune(r32.Hi); r += rune(r32.Stride) {
			if r != needle {
				rs = append(rs, r)
			}
		}
	}

# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as
# a service account that has the right permissions to be able to do so.
set +x
if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then
  # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set
  # `CLOUDSDK_PYTHON` to Python 3.11 which is the system Python on TFCI Mac
  # VMs.

### Include the custom docs { #include-the-custom-docs }

Now you can create the *path operations* for the custom docs.

You can reuse FastAPI's internal functions to create the HTML pages for the docs, and pass them the needed arguments:

* `openapi_url`: the URL where the HTML page for the docs can get the OpenAPI schema for your API. You can use here the attribute `app.openapi_url`.
* `title`: the title of your API.

* The logic depends on external resources or could block in any other way
* Other dependencies need their results (it's a sub-dependency)
* The logic can be shared by multiple endpoints to do things like error early, authentication, etc.
* They need to handle cleanup (e.g., DB sessions, file handles), using dependencies with `yield`
* Their logic needs input data from the request, like headers, query parameters, etc.

        // 1. Creating a new Smb2CreateRequest with reconnect context
        // 2. Adding lease context if needed
        // 3. Sending the request through the appropriate transport
        // 4. Processing the response

        // For now, we'll return false to indicate that the concrete implementation
        // needs to be provided by the calling code
        log.warn("performReconnection called but no concrete implementation available. "

          # To be able to commit it needs to fetch the head of the branch, not the
          # merge commit
          ref: ${{ github.head_ref }}
          # And it needs the full history to be able to compute diffs
          fetch-depth: 0
          # A token other than the default GITHUB_TOKEN is needed to be able to trigger CI
          token: ${{ secrets.PRE_COMMIT }}
      # pre-commit lite ci needs the default checkout configs to work

replica modification sync are all enabled. If you are using older mc versions, the ARN needs to be generated as a separate step before adding a replication rule.

> NOTE: If you are using a mc version below `RELEASE.2022-12-24T15-21-38Z`, the --remote-bucket flag needs an ARN generated by `mc admin bucket remote add` command. For  mc versions RELEASE.2021-09-02T09-21-27Z and older, the remote target ARN needs to be passed in the --arn flag and actual remote bucket name in --remote-bucket flag...

This is useful if you don't know the valid field/attribute names (that would be needed for a Pydantic model) beforehand.

In this case, you can use `dict`:

{* ../../docs_src/extra_models/tutorial005_py310.py hl[6] *}

## Recap { #recap }

Use multiple Pydantic models and inherit freely for each case.

# Request Body { #request-body }

When you need to send data from a client (let's say, a browser) to your API, you send it as a **request body**.

A **request** body is data sent by the client to your API. A **response** body is the data your API sends to the client.