out <- n - 1
	}
}

func threadRing(bufsize int) {
	const N = 100
	donec := make(chan bool)
	one := make(chan int, bufsize) // will be input to thread 1
	var in, out chan int = nil, one
	for i := 1; i <= N-1; i++ {
		in, out = out, make(chan int, bufsize)
		go ringf(in, out, donec)
	}
	go ringf(out, one, donec)
	one <- N
	<-donec
	Println("did threadring of", bufsize)
}

👑 ❔ ⏮️ 🏒 &amp; FastAPI 👈 🏒 ⚓️ 🙇 🔛 <a href="https://docs.python.org/3/library/threading.html#thread-local-data" class="external-link" target="_blank">🐍 `threading.local`</a>, &amp; ⚫️ 🚫 ✔️ 🎯 🌌 🔐 ⚫️ ⚖️ ➡️ 👆 🍵 🔗/🎉 🔗 (🔨 🇸🇲 🔰).

&amp; `threading.local` 🚫 🔗 ⏮️ 🆕 🔁 ⚒ 🏛 🐍.

!!! note "📡 ℹ"
    `threading.local` ⚙️ ✔️ "🎱" 🔢 👈 ✔️ 🎏 💲 🔠 🧵.

    👉 ⚠ 🗝 🛠️ 🏗 ✔️ 1️⃣ 👁 🧵 📍 📨, 🙅‍♂ 🌖, 🙅‍♂ 🌘.

// Note a side effect of this method is that multi threading will be disabled.
void EnablePassIRPrinting(PassManager& pm, const std::string& dump_group_name,
                          llvm::StringRef module_name) {
  // Print the whole module after each pass, which requires disabling
  // multi-threading as well.
  pm.getContext()->disableMultithreading();

And `threading.local` is not compatible with the new async features of modern Python.

!!! note "Technical Details"

// RUN: tf-quant-opt %s -mark-functions-noinline='noinline-functions=noinline0' \
// RUN:     -allow-unregistered-dialect -mlir-disable-threading \
// RUN:     -split-input-file -verify-diagnostics | FileCheck %s

// Tests that the function is marked tf._noinline = true.

// CHECK-LABEL: @noinline0
// CHECK-SAME: attributes {{{.*tf._noinline = true.*}}}
func.func @noinline0() -> (tensor<0xf32>) {

namespace tensorflow {
namespace tf2xla {
namespace internal {

// Setup the input pass manager to enable IR dumping after each pass.
// Note a side effect of this method is that multi threading will be disabled.
void EnablePassIRPrinting(mlir::PassManager& pm,
                          const std::string& dump_group_name,
                          llvm::StringRef module_name = llvm::StringRef());

import org.apache.http.annotation.ThreadingBehavior;
import org.apache.http.auth.AuthScheme;
import org.apache.http.protocol.HttpContext;

import java.nio.charset.Charset;

@Contract(threading = ThreadingBehavior.IMMUTABLE)
@SuppressWarnings("deprecation")
public class HttpHeaderSchemeFactory implements org.apache.http.auth.AuthSchemeFactory, org.apache.http.auth.AuthSchemeProvider {

// Note a side effect of this method is that multi threading will be disabled.
void EnablePassIRPrinting(PassManager& pm, const std::string& dump_group_name,
                          llvm::StringRef module_name) {
  // Print the whole module after each pass, which requires disabling
  // multi-threading as well.
  pm.getContext()->disableMultithreading();

#include "llvm/ADT/SmallVector.h"
#include "mlir/IR/Block.h"  // from @llvm-project
#include "mlir/IR/BuiltinAttributes.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/Threading.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/session_utils.h"

 * Base class for services that can implement {@link #startUp}, {@link #run} and {@link #shutDown}
 * methods. This class uses a single thread to execute the service; consider {@link AbstractService}
 * if you would like to manage any threading manually.
 *
 * @author Jesse Wilson
 * @since 1.0
 */
@GwtIncompatible
@J2ktIncompatible
@ElementTypesAreNonnullByDefault
public abstract class AbstractExecutionThreadService implements Service {