///

### <a href="https://www.starlette.dev/" class="external-link" target="_blank">Starlette</a>

Starlette — це легкий фреймворк/набір інструментів <abbr title="The new standard for build asynchronous Python web">ASGI</abbr>, який ідеально підходить для створення високопродуктивних asyncio сервісів.

	"cmd/asm/internal/lex"
	"cmd/internal/obj"
	"cmd/internal/obj/ppc64"
	"cmd/internal/obj/riscv"
	"cmd/internal/obj/x86"
	"cmd/internal/sys"
)

// TODO: configure the architecture

var testOut *strings.Builder // Gathers output when testing.

// append adds the Prog to the end of the program-thus-far.
// If doLabel is set, it also defines the labels collect for this Prog.

		sb.Reset()
		bytebufferpool.Put(sb)
	}()

	return pathJoinBuf(sb, elem...)
}

// pathJoinBuf - like path.Join() but retains trailing SlashSeparator of the last element.
// Provide a string builder to reduce allocation.
func pathJoinBuf(dst *bytebufferpool.ByteBuffer, elem ...string) string {
	trailingSlash := len(elem) > 0 && hasSuffixByte(elem[len(elem)-1], SlashSeparatorChar)
	dst.Reset()
	added := 0

TF_CAPI_EXPORT extern TF_WhileParams TF_NewWhile(TF_Graph* g, TF_Output* inputs,
                                                 int ninputs,
                                                 TF_Status* status);

// Builds the while loop specified by `params` and returns the output tensors of
// the while loop in `outputs`. `outputs` should be allocated to size
// `params.ninputs`.
//
// `params` is no longer valid once this returns.
//

pkg go/build, method (*Context) ImportDir(string, ImportMode) (*Package, error)
pkg go/build, method (*Context) SrcDirs() []string
pkg go/build, method (*NoGoError) Error() string
pkg go/build, method (*Package) IsCommand() bool
pkg go/build, type Context struct
pkg go/build, type Context struct, BuildTags []string
pkg go/build, type Context struct, CgoEnabled bool
pkg go/build, type Context struct, Compiler string

        * [Build simple API service with Python FastAPI — Part 1](https://dev.to/cuongld2/build-simple-api-service-with-python-fastapi-part-1-581o) by [cuongld2](https://dev.to/cuongld2).
        * [FastAPI + Zeit.co = 🚀](https://paulsec.github.io/posts/fastapi_plus_zeit_serverless_fu/) by [Paul Sec](https://x.com/PaulWebSec).

			testWrite{"\x00\x00", 2, nil},
			testWrite{"abc", 3, nil},
			testWrite{"\x00\x00", 2, errUnrefData},
		},
	}}

	for i, v := range vectors {
		var wantStr string
		bb := new(strings.Builder)
		w := testNonEmptyWriter{bb}
		var fw fileWriter
		switch maker := v.maker.(type) {
		case makeReg:
			fw = &regFileWriter{w, maker.size}
			wantStr = maker.wantStr
		case makeSparse:

* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }

		// import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}
		// object SparkJSONRead {
		//   def main(args: Array[String]): Unit = {
		//     val spark:SparkSession = SparkSession.builder()
		//       .appName("SparkByExample")
		//       .master("local[1]").getOrCreate()
		//
		//     spark.sparkContext.setLogLevel("ERROR")

		}
	})

	// Always load ENV variables from files first.
	loadEnvVarsFromFiles()

	// Handle early server environment vars
	serverHandleEarlyEnvVars()

	// Handle all server command args and build the disks layout
	bootstrapTrace("serverHandleCmdArgs", func() {
		err := buildServerCtxt(ctx, &globalServerCtxt)
		logger.FatalIf(err, "Unable to prepare the list of endpoints")

		serverHandleCmdArgs(globalServerCtxt)