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How to use on_after_init method in localstack

Best Python code snippet using localstack_python

callbacks.py

Source:callbacks.py

...43                self.callbacks.append(callback)44    def set_params(self, *args, **kwargs):45        for callback in self.callbacks:46            callback.set_params(*args, **kwargs)47    def on_after_init(self, *args, **kwargs):48        for callback in self.callbacks:49            callback.on_after_init(*args, **kwargs)50    def on_train_begin(self, *args, **kwargs):51        for callback in self.callbacks:52            callback.on_train_begin(*args, **kwargs)53    def on_train_end(self, *args, **kwargs):54        for callback in self.callbacks:55            callback.on_train_end(*args, **kwargs)56    def on_epoch_begin(self, epoch: int, *args, **kwargs):57        for callback in self.callbacks:58            callback.on_epoch_begin(epoch, *args, **kwargs)59    def on_epoch_end(self, epoch: int, *args, **kwargs):60        for callback in self.callbacks:61            callback.on_epoch_end(epoch, *args, **kwargs)62    def on_iteration_begin(self, epoch: int, iteration: int, batch_idx: int, batch_data: any, *args, **kwargs):63        for callback in self.callbacks:64            callback.on_iteration_begin(epoch, iteration, batch_idx, batch_data, *args, **kwargs)65    def on_iteration_end(self, epoch: int, iteration: int, batch_idx: int, batch_data: any,66                         outputs: Tensor, targets: Tensor, loss: Tensor, *args, **kwargs):67        for callback in self.callbacks:68            callback.on_iteration_end(epoch, iteration, batch_idx, batch_data, outputs, targets, loss, *args, **kwargs)69    def on_validation_begin(self, epoch, iteration, *args, **kwargs):70        for callback in self.callbacks:71            callback.on_validation_begin(epoch, iteration, *args, **kwargs)72    def on_validation_end(self, epoch, iteration, *args, **kwargs):73        for callback in self.callbacks:74            callback.on_validation_end(epoch, iteration, *args, **kwargs)75    def on_validation_iteration_begin(self, epoch: int, iteration: int, batch_idx: int, batch_data: any,76                                      *args, **kwargs):77        for callback in self.callbacks:78            callback.on_validation_iteration_begin(epoch, iteration, batch_idx, batch_data, *args, **kwargs)79    def on_validation_iteration_end(self, epoch: int, iteration: int, batch_idx: int, batch_data: any,80                                    outputs: Tensor, targets: Tensor, loss: Tensor, *args, **kwargs):81        for callback in self.callbacks:82            callback.on_validation_iteration_end(epoch, iteration, batch_idx, batch_data, outputs, targets,83                                                 loss, *args, **kwargs)84    def training_break(self, *args, **kwargs):85        callback_out = [callback.training_break(*args, **kwargs) for callback in self.callbacks]86        return any(callback_out)87class Callback(ABC):88    def __init__(self, logger: Optional[DefaultLogger] = None):89        self.__logger = logger90    def _info(self, msg):91        """Log 'msg' with severity 'INFO'."""92        if self.__logger is not None:93            self.__logger.info(msg)94    def send_metric(self, channel_name, x, y=None, timestamp=None):95        self.__logger.send_metric(channel_name, x, y, timestamp)96    def on_after_init(self, *args, **kwargs):97        pass98    def on_train_begin(self, *args, **kwargs):99        pass100    def on_train_end(self, *args, **kwargs):101        pass102    def on_epoch_begin(self, epoch: int, *args, **kwargs):103        pass104    def on_epoch_end(self, epoch: int, *args, **kwargs):105        pass106    def on_iteration_begin(self, epoch: int, iteration: int, batch_idx: int, batch_data: any, *args, **kwargs):107        pass108    def on_iteration_end(self, epoch: int, iteration: int, batch_idx: int, batch_data: any,109                         outputs: Tensor, targets: Tensor, loss: Tensor, *args, **kwargs):110        pass...

provider_asf.py

Source:provider_asf.py

...16    """17    router: ApigatewayRouter18    def __init__(self, router: ApigatewayRouter = None):19        self.router = router or ApigatewayRouter(ROUTER)20    def on_after_init(self):21        super(AsfApigatewayProvider, self).on_after_init()22        self.router.register_routes()23    @handler("TestInvokeMethod", expand=False)24    def test_invoke_method(25        self, context: RequestContext, request: TestInvokeMethodRequest26    ) -> TestInvokeMethodResponse:27        invocation_context = to_invocation_context(context.request)28        invocation_context.method = request["httpMethod"]29        if data := parse_json_or_yaml(to_str(invocation_context.data or b"")):30            orig_data = data31            if path_with_query_string := orig_data.get("pathWithQueryString"):32                invocation_context.path_with_query_string = path_with_query_string33            invocation_context.data = data.get("body")34            invocation_context.headers = orig_data.get("headers", {})35        result = invoke_rest_api_from_request(invocation_context)...

worker.pyi

Source:worker.pyi

...7    redirect_stdouts_level: Any = ...8    purge: Any = ...9    no_color: Any = ...10    colored: Any = ...11    def on_after_init(self, purge: bool = ..., no_color: Optional[Any] = ..., redirect_stdouts: Optional[Any] = ..., redirect_stdouts_level: Optional[Any] = ..., **kwargs: Any) -> None: ...12    def on_init_blueprint(self) -> None: ...13    def on_start(self) -> None: ...14    def emit_banner(self) -> None: ...15    def on_consumer_ready(self, consumer: Any) -> None: ...16    def setup_logging(self, colorize: Optional[Any] = ...): ...17    def purge_messages(self) -> None: ...18    def tasklist(self, include_builtins: bool = ..., sep: str = ..., int_: str = ...): ...19    def extra_info(self): ...20    def startup_info(self, artlines: bool = ...): ...21    def install_platform_tweaks(self, worker: Any) -> None: ...22    def macOS_proxy_detection_workaround(self) -> None: ......

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