/libraries/tools/kotlin-gradle-statistics/ "Kotlin Build Tools"
/libraries/tools/kotlin-lombok/ "Kotlin Build Tools"
/libraries/tools/kotlin-main-kts/ "Kotlin Compiler Core"
/libraries/tools/kotlin-main-kts-test/ "Kotlin Compiler Core"
/libraries/tools/kotlin-maven-allopen/ "Kotlin Build Tools"
/libraries/tools/kotlin-maven-lombok/ "Kotlin Build Tools"
/libraries/tools/kotlin-maven-noarg/ "Kotlin Build Tools"

## Benchmarks and speed

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

## Intro

**FastAPI** wouldn't exist if not for the previous work of others.

There have been many tools created before that have helped inspire its creation.

I have been avoiding the creation of a new framework for several years. First I tried to solve all the features covered by **FastAPI** using many different frameworks, plug-ins, and tools.

        get() = analysisSession.token

    override fun getResolveExtensionScopeWithTopLevelDeclarations(): KtScope {
        val tools = analysisSession.extensionTools
        if (tools.isEmpty()) return KtEmptyScope(token)
        return KtFirResolveExtensionScope(analysisSession, tools)
    }

    @OptIn(KtModuleStructureInternals::class)
    override fun isResolveExtensionFile(file: VirtualFile): Boolean =

But in most of the cases where we need to do something like this, we want the model just to **filter/remove** some of the data as in this example.

And in those cases, we can use classes and inheritance to take advantage of function **type annotations** to get better support in the editor and tools, and still get the FastAPI **data filtering**.

test:linux_libtensorflow_test -- //tensorflow/tools/lib_package:libtensorflow_test //tensorflow/tools/lib_package:libtensorflow_java_test
build:linux_libtensorflow_build -- //tensorflow/tools/lib_package:libtensorflow.tar.gz //tensorflow/tools/lib_package:libtensorflow_jni.tar.gz //tensorflow/java:libtensorflow.jar //tensorflow/java:libtensorflow-src.jar //tensorflow/tools/lib_package:libtensorflow_proto.zip

package plugin

import (
	"fmt"

	"github.com/containernetworking/plugins/pkg/ns"

	"istio.io/istio/pkg/log"
	"istio.io/istio/tools/istio-iptables/pkg/cmd"
	"istio.io/istio/tools/istio-iptables/pkg/config"
	"istio.io/istio/tools/istio-iptables/pkg/dependencies"
)

// getNs is a unit test override variable for interface create.
var getNs = ns.GetNS

# buildifier: disable=load-on-top

workspace(name = "wheel_test")

# buildifier: disable=load-on-top

load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")

http_archive(
    name = "bazel_skylib",
    sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506",
    urls = [
        "https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz",

# buildifier: disable=load-on-top

workspace(name = "org_tensorflow")

# buildifier: disable=load-on-top

# We must initialize hermetic python first.
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")

http_archive(
    name = "bazel_skylib",
    sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506",
    urls = [

# Security Tools

When you need to declare dependencies with OAuth2 scopes you use `Security()`.

But you still need to define what is the dependable, the callable that you pass as a parameter to `Depends()` or `Security()`.

There are multiple tools that you can use to create those dependables, and they get integrated into OpenAPI so they are shown in the automatic docs UI, they can be used by automatically generated clients and SDKs, etc.