code
stringlengths
3
6.57k
self._connect()
self.auth(self._api_key)
len(self._sub_topics)
self.sub(self._sub_topics)
logger.info("Reconnected to %s.", self._uri)
_deliver(self, s: str)
self._inputs.put(s)
_send(self, s: str)
self._ws.send(s)
logger.debug(">>> %s", s)
logger.exception(exc)
self._reconnect()
_broadcast(self, message: Dict)
self._deliver(json.dumps(data)
_pong(self, message: Dict[str, int])
self._send(json.dumps({"pong": message["ping"]})
_run(self)
self._connect()
asyncio.create_task(self._ws.recv()
asyncio.create_task(self._inputs.get()
incoming.cancel()
outgoing.cancel()
incoming.result()
logger.debug("<<< %s", message)
logger.exception(exc)
self._reconnect()
json.loads(message)
self._pong(decoded)
self._outputs.put_nowait(decoded)
logger.warning("The outputs queue is full.")
outgoing.result()
self._send(message)
self.close()
close(self)
ws.close()
exceptions.format_close(ws.close_code, ws.close_reason)
logger.info(f"Connection closed: {close_status}.")
__init__(self, base_url: str, api_key: str)
base_url.rstrip("/")
get_robot(self, robot_id: int)
ROBOT_REQ_PATH.format(robot_id=robot_id)
self._request("GET", req_path)
update_robot_asset_record(self, robot_id: int, data: Dict[str, Any])
ROBOT_ASSET_RECORD_REQ_PATH.format(robot_id=robot_id)
self._request("PATCH", req_path, data=data)
update_robot_strategy_store(self, robot_id: int, data: Dict[str, Any])
ROBOT_STRATEGY_STORE_REQ_PATH.format(robot_id=robot_id)
self._request("PUT", req_path, data=data)
ROBOT_POSITION_STORE_REQ_PATH.format(robot_id=robot_id)
self._request("PUT", req_path, data=data)
update_robot_order_store(self, robot_id: int, data: List[Dict[str, Any]])
ROBOT_ORDER_STORE_REQ_PATH.format(robot_id=robot_id)
self._request("PUT", req_path, data=data)
ping_robot(self, robot_id: int)
ROBOT_PING_REQ_PATH.format(robot_id=robot_id)
self._request("POST", req_path)
get_robot_strategy_parameters(self, robot_id: int)
ROBOT_STRATEGY_PARAMETERS_REQ_PATH.format(robot_id=robot_id)
self._request("GET", req_path)
get_robot_credential_key(self, robot_id: int)
ROBOT_CREDENTIAL_KEY_REQ_PATH.format(robot_id=robot_id)
self._request("GET", req_path)
req_headers.update(headers)
httpx.AsyncClient()
res.raise_for_status()
res.json()
discord.Intents.default()
commands.Bot(command_prefix = "-", case_insensitive = True, intents=intents)
client.remove_command('help')
os.listdir('./cogs')
filename.endswith('.py')
client.load_extension(f'cogs.{filename[:-3]}')
client.run('# Discord Bot Token here')
logging.getLogger(__name__)
train(reader, train_data, test_data, dev_data, configuration: dict, debug=False)
isinstance(reader, TFReader)
train_tensorflow(reader, train_data, test_data, dev_data, configuration, debug)
train_pytorch(reader, train_data, test_data, dev_data, configuration, debug)
train_tensorflow(reader, train_data, test_data, dev_data, configuration: dict, debug=False)
configuration.get('seed', 0)
random.seed(seed)
tf.set_random_seed(seed)
configuration.get('clip_value')
configuration.get('batch_size')
configuration.get('dev_batch_size')
configuration.get('epochs')
configuration.get('l2')
configuration.get('optimizer')
configuration.get('learning_rate')
configuration.get('min_learning_rate')
configuration.get('learning_rate_decay')
configuration.get('log_interval')
configuration.get('validation_interval')
configuration.get('tensorboard_folder')
configuration.get('reader')
configuration.get('save_dir')
configuration.get('write_metrics_to')
abs(clip_value)
abs(clip_value)
tf.get_variable("learning_rate", initializer=learning_rate, dtype=tf.float32, trainable=False)