<img src="/img/tutorial/security/image10.png">

/// note

Notice the header `Authorization`, with a value that starts with `Bearer `.

///

## Advanced usage with `scopes`

OAuth2 has the notion of "scopes".

<img src="/img/tutorial/extending-openapi/image03.png">

## Change the Theme

The same way you could set the syntax highlighting theme with the key `"syntaxHighlight.theme"` (notice that it has a dot in the middle):

{* ../../docs_src/configure_swagger_ui/tutorial002.py hl[3] *}

That configuration would change the syntax highlighting color theme:

///

By doing that, your editor can provide support even while processing items from the list:

<img src="/img/python-types/image05.png">

Without types, that's almost impossible to achieve.

Notice that the variable `item` is one of the elements in the list `items`.

And still, the editor knows it is a `str`, and provides support for that.

#### Tuple and Set

		RegisterNumber: nilRegisterNumber,
		IsJump:         jumpX86,
	}
}

func archArm() *Arch {
	register := make(map[string]int16)
	// Create maps for easy lookup of instruction names etc.
	// Note that there is no list of names as there is for x86.
	for i := arm.REG_R0; i < arm.REG_SPSR; i++ {
		register[obj.Rconv(i)] = int16(i)
	}
	// Avoid unintentionally clobbering g using R10.
	delete(register, "R10")

# limitations under the License.

set -e

# https://stackoverflow.com/questions/59895/how-can-i-get-the-source-directory-of-a-bash-script-from-within-the-script-itsel
# Note: the normal way we use in other scripts in Istio do not work when `source`d, which is why we use this approach
SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )

   services. The proxies form a _secure microservice mesh_ providing a rich
   set of functions like discovery, rich layer-7 routing, circuit breakers,
   policy enforcement and telemetry recording/reporting
   functions.

  > Note: The service mesh is not an overlay network. It
  > simplifies and enhances how microservices in an application talk to each
  > other over the network provided by the underlying platform.

## Recap, step by step

### Step 1: import `FastAPI`

{* ../../docs_src/first_steps/tutorial001.py hl[1] *}

`FastAPI` is a Python class that provides all the functionality for your API.

/// note | "Technical Details"

`FastAPI` is a class that inherits directly from `Starlette`.

load(
    "//tensorflow/core/tpu:build_defs.bzl",
    "if_libtpu_tf_status",
)

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

filegroup(
    name = "safe_ptr_hdr",
    srcs = ["safe_ptr.h"],
    visibility = [
        "//tensorflow:internal",
    ],
)

cc_library(
    name = "safe_ptr",
    srcs = [

	// is true), you can use the key name in this field as marker in the subsequent
	// request to get next set of objects. Server lists objects in alphabetical
	// order Note: This element is returned only if you have delimiter request parameter
	// specified. If response does not include the NextMaker and it is truncated,
	// you can use the value of the last Key in the response as the marker in the

build:monolithic --define framework_shared_object=false
build:monolithic --define tsl_protobuf_header_only=false
build:monolithic --experimental_link_static_libraries_once=false  # b/229868128

# Please note that MKL on MacOS is still not supported.
# If you would like to use a local MKL instead of downloading, please set the
# environment variable "TF_MKL_ROOT" every time before build.