%6 = "tf.Identity"(%output_6) {device = ""} : (tensor<1x3xf32>) -> tensor<1x3xf32>
      "tf.Yield"(%4, %6) {device = ""} : (tensor<i1>, tensor<1x3xf32>) -> ()
    }, {
      %4 = "tf.Identity"(%cst_3) {device = ""} : (tensor<i1>) -> tensor<i1>

  // Create a NoOp inside the IslandOp.
  auto guard = OpBuilder::InsertionGuard(builder);
  builder.setInsertionPointToStart(&wrapper_island_op.GetBody());

  builder.create<TF::NoOp>(loc);
  builder.create<tf_executor::YieldOp>(loc);

  return wrapper_island_op;
}

// Adds a new fetch operand for the main function's GraphOp.
void AddFetchOperandToMain(GraphOp main_graph_op, const Value fetch_operand) {

{!../../../docs_src/sql_databases_peewee/sql_app/main.py!}
```

📥 👥 ✔️ 🛁 `yield` ↩️ 👥 🤙 🚫 ⚙️ 💽 🎚 🔗.

⚫️ 🔗 💽 & ♻ 🔗 💽 🔗 🔢 👈 🔬 🔠 📨 (⚙️ `contextvars` 🎱 ⚪️➡️ 🔛).

↩️ 💽 🔗 ⚠ 👤/🅾 🚧, 👉 🔗 ✍ ⏮️ 😐 `def` 🔢.

& ⤴️, 🔠 *➡ 🛠️ 🔢* 👈 💪 🔐 💽 👥 🚮 ⚫️ 🔗.

✋️ 👥 🚫 ⚙️ 💲 👐 👉 🔗 (⚫️ 🤙 🚫 🤝 🙆 💲, ⚫️ ✔️ 🛁 `yield`). , 👥 🚫 🚮 ⚫️ *➡ 🛠️ 🔢* ✋️ *➡ 🛠️ 👨‍🎨* `dependencies` 🔢:

    val pointerWithoutPsiAnchor: KaSymbolPointer<*>?,
)

private fun KaSymbol?.withImplicitSymbols(): Sequence<KaSymbol> {
    val ktSymbol = this ?: return emptySequence()
    return sequence {
        yield(ktSymbol)

        if (ktSymbol is KaSymbolWithTypeParameters) {
            for (parameter in ktSymbol.typeParameters) {
                yieldAll(parameter.withImplicitSymbols())
            }
        }

	EvGoDestroy           // goroutine ends [timestamp]
	EvGoDestroySyscall    // goroutine ends in syscall (cgo callback) [timestamp]
	EvGoStop              // goroutine yields its time, but is runnable [timestamp, reason, stack ID]
	EvGoBlock             // goroutine blocks [timestamp, reason, stack ID]
	EvGoUnblock           // goroutine is unblocked [timestamp, goroutine ID, goroutine seq, stack ID]

      inner_op =
          rewriter.create<LegacyCallOp>(loc, new_types, inner_op_operands,
                                        op_name, disable_call_shape_inference);
    }

    rewriter.create<tf_executor::YieldOp>(loc, inner_op->getResults());

    rewriter.replaceOp(op, island.getOperation()->getResults());

    return success();
  }

 private:
  const DenseSet<StringRef> &func_symbols_;
};

      %6 = "tf.Identity"(%5) {device = ""} : (tensor<1x3xf32>) -> tensor<1x3xf32>
      "tf.Yield"(%4, %6) {device = ""} : (tensor<i1>, tensor<1x3xf32>) -> ()
    }, {
      %4 = "tf.Identity"(%cst_3) {device = ""} : (tensor<i1>) -> tensor<i1>

	return d, nil
}

// configReader returns a PutObjReader and ObjectOptions needed to save config
// using a PutObject API. PutObjReader encrypts json encoded tier configurations
// if KMS is enabled, otherwise simply yields the json encoded bytes as is.
// Similarly, ObjectOptions value depends on KMS' status.
func (config *TierConfigMgr) configReader(ctx context.Context) (*PutObjReader, *ObjectOptions, error) {
	b, err := config.Bytes()

      // Conditional ops
      TypeID::get<TF::IfRegionOp>(),
      TypeID::get<TF::WhileRegionOp>(),
      TypeID::get<TF::CaseRegionOp>(),
      TypeID::get<TF::YieldOp>(),
  };
  return *ops;
}

bool IsOpTypeAllowedTf2XlaFallback(const TypeID& type_id) {
  // Allowlisted TensorFlow ops are known to have well behaved tf2xla kernels

    from pydantic import EmailStr
except ImportError:  # pragma: no cover

    class EmailStr(str):  # type: ignore
        @classmethod
        def __get_validators__(cls) -> Iterable[Callable[..., Any]]:
            yield cls.validate

        @classmethod
        def validate(cls, v: Any) -> str:
            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"