How to use _collect_message method in localstack

Best Python code snippet using localstack_python

dataclasses.py

Source:dataclasses.py

...70    def wait_running(self):71        return self._state_changed(JobState.RUNNING)72    def wait_done(self):73        return self._state_changed(JobState.DONE)74    def _collect_message(self, result, was_collected, msg):75        if not was_collected.cancelled():76            was_collected.set_result(True)77        if not result.cancelled():78            result.set_result(msg)79    def collect_message(self):80        result = self.loop.create_future()81        if self._msg_inbox:82            self._collect_message(result, *self._msg_inbox.popleft())83        else:84            self._msg_waiters.append(result)85        return result86    def enqueue_message(self, msg):87        was_collected = self.loop.create_future()88        if self._msg_waiters:89            self._collect_message(90                self._msg_waiters.popleft(), was_collected, msg91            )92        else:93            self._msg_inbox.append((was_collected, msg))94        return was_collected95@dataclass96class GroupConfig:97    ident: str = None98    max_jobs: int = 099    max_cpu: float = 0.0100class Group(dict):101    def __init__(self, loop, stats, config):102        self.loop = loop103        self.stats = stats...

gpu_monitor.py

Source:gpu_monitor.py

...36        return (sum(current_gpu_status.occupied_memory) - sum(previous_gpu_status.occupied_memory)) / previous_gpu_status.total_memory37    memory_usage_change = tuple(relative_memory_change(p_gpu, c_gpu) for p_gpu, c_gpu in zip(previous_status, current_status))38    considerable_memory_usage_change = any(abs(change) > 0.5 for change in memory_usage_change)39    return considerable_memory_usage_change or current_total_memory != previous_total_memory or current_users != previous_users40def _collect_message(status: Tuple[GPUStatus, ...]) -> str:41    username_descriptions = {pw.pw_name: pw.pw_gecos for pw in getpwall()}42    msg = 'Status changed!'43    for gpu_idx, gpu_status in enumerate(status):44        utilization = (sum(gpu_status.occupied_memory) / gpu_status.total_memory) * 10045        msg += f'\n\n<b>GPU{gpu_idx}</b> <code>{sum(gpu_status.occupied_memory)}/{gpu_status.total_memory}</code> Mb ({utilization:.2f}%):'46        if not len(gpu_status.occupied_by):47            msg += '\n    vacant!'48        for username, memory in zip(gpu_status.occupied_by, gpu_status.occupied_memory):49            description = username_descriptions[username].replace(',,,', '')50            if len(description):51                msg += f'\n    {username} ({description}), <code>{memory}</code> Mb'52            else:53                msg += f'\n    {username}, <code>{memory}</code> Mb'54    return msg55def run_monitoring(logger: Callable[[str], None], interval: int = 1) -> None:56    previous_status = tuple()57    while True:58        try:59            current_status = _collect_gpu_status()60            if _status_considerably_changed(previous_status, current_status):61                msg = _collect_message(current_status)62                logger(msg)63                previous_status = current_status64        except Exception as e:65            logging.debug('Exception occurred during GPU status evaluation!', exc_info=e)...

s3.py

Source:s3.py

...37    def create_command(self, command: int) -> bytearray:38        command_special = 1 if command == self.command_PAIR else 039        return bytearray([self.command_prefix, command, command_special, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,40                          self.command_suffix])41    def _collect_message(self, package: bytearray) -> bool:42        self._data = package43        return True44    def _decode_response(self, response: bytearray):45        _LOGGER.debug("Data is %s", bytes(response).hex())46        try:47            self._fan_speed = int(list("{:02x}".format(response[2]))[1])48            self._mode = int(list("{:02x}".format(response[2]))[0])49            self._heater = response[4] & 150            self._state = response[4] >> 1 & 151            self._heater_temp = response[3]52            self._sound = response[4] >> 3 & 153            self._out_temp = self.decode_temperature(response[7])54            self._in_temp = self.decode_temperature(response[8])55            self._filter_remain = response[10] * 256 + response[9]...

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