曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.かつては雑草やヨモギと共に雨や露を分かち合っていたが、今では松やヒノキと共に霜や雪に耐えている。曾与蒿藜同雨露,Once sharing rain and dew with weeds and wormwood, now enduring frost and snow with pines and cypresses.终随松柏到冰霜.曾与蒿藜同雨露한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.,终随松柏到冰霜.譖セ荳手珍阯懷酔髮ィ髴イ�檎サ磯囂譚セ譟丞芦蜀ー髴�曾与蒿藜同雨露,鏇句笌钂胯棞鍚岄洦闇诧紝缁堥殢鏉炬煆鍒板啺闇�终随松柏到冰霜.曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.曾与蒿藜同雨露,终随松柏到冰霜. rahbord-ins.ir - GrazzMean-Shell
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name : win_utils.py
import _overlapped
import _thread
import _winapi
import math
import struct
import winreg


# Seconds per measurement
SAMPLING_INTERVAL = 1
# Exponential damping factor to compute exponentially weighted moving average
# on 1 minute (60 seconds)
LOAD_FACTOR_1 = 1 / math.exp(SAMPLING_INTERVAL / 60)
# Initialize the load using the arithmetic mean of the first NVALUE values
# of the Processor Queue Length
NVALUE = 5


class WindowsLoadTracker():
    """
    This class asynchronously reads the performance counters to calculate
    the system load on Windows.  A "raw" thread is used here to prevent
    interference with the test suite's cases for the threading module.
    """

    def __init__(self):
        # Pre-flight test for access to the performance data;
        # `PermissionError` will be raised if not allowed
        winreg.QueryInfoKey(winreg.HKEY_PERFORMANCE_DATA)

        self._values = []
        self._load = None
        self._running = _overlapped.CreateEvent(None, True, False, None)
        self._stopped = _overlapped.CreateEvent(None, True, False, None)

        _thread.start_new_thread(self._update_load, (), {})

    def _update_load(self,
                    # localize module access to prevent shutdown errors
                     _wait=_winapi.WaitForSingleObject,
                     _signal=_overlapped.SetEvent):
        # run until signaled to stop
        while _wait(self._running, 1000):
            self._calculate_load()
        # notify stopped
        _signal(self._stopped)

    def _calculate_load(self,
                        # localize module access to prevent shutdown errors
                        _query=winreg.QueryValueEx,
                        _hkey=winreg.HKEY_PERFORMANCE_DATA,
                        _unpack=struct.unpack_from):
        # get the 'System' object
        data, _ = _query(_hkey, '2')
        # PERF_DATA_BLOCK {
        #   WCHAR Signature[4]      8 +
        #   DWOWD LittleEndian      4 +
        #   DWORD Version           4 +
        #   DWORD Revision          4 +
        #   DWORD TotalByteLength   4 +
        #   DWORD HeaderLength      = 24 byte offset
        #   ...
        # }
        obj_start, = _unpack('L', data, 24)
        # PERF_OBJECT_TYPE {
        #   DWORD TotalByteLength
        #   DWORD DefinitionLength
        #   DWORD HeaderLength
        #   ...
        # }
        data_start, defn_start = _unpack('4xLL', data, obj_start)
        data_base = obj_start + data_start
        defn_base = obj_start + defn_start
        # find the 'Processor Queue Length' counter (index=44)
        while defn_base < data_base:
            # PERF_COUNTER_DEFINITION {
            #   DWORD ByteLength
            #   DWORD CounterNameTitleIndex
            #   ... [7 DWORDs/28 bytes]
            #   DWORD CounterOffset
            # }
            size, idx, offset = _unpack('LL28xL', data, defn_base)
            defn_base += size
            if idx == 44:
                counter_offset = data_base + offset
                # the counter is known to be PERF_COUNTER_RAWCOUNT (DWORD)
                processor_queue_length, = _unpack('L', data, counter_offset)
                break
        else:
            return

        # We use an exponentially weighted moving average, imitating the
        # load calculation on Unix systems.
        # https://en.wikipedia.org/wiki/Load_(computing)#Unix-style_load_calculation
        # https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average
        if self._load is not None:
            self._load = (self._load * LOAD_FACTOR_1
                            + processor_queue_length  * (1.0 - LOAD_FACTOR_1))
        elif len(self._values) < NVALUE:
            self._values.append(processor_queue_length)
        else:
            self._load = sum(self._values) / len(self._values)

    def close(self, kill=True):
        self.__del__()
        return

    def __del__(self,
                # localize module access to prevent shutdown errors
                _wait=_winapi.WaitForSingleObject,
                _close=_winapi.CloseHandle,
                _signal=_overlapped.SetEvent):
        if self._running is not None:
            # tell the update thread to quit
            _signal(self._running)
            # wait for the update thread to signal done
            _wait(self._stopped, -1)
            # cleanup events
            _close(self._running)
            _close(self._stopped)
            self._running = self._stopped = None

    def getloadavg(self):
        return self._load
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