environment/lib/python2.7/site-packages/psutil/__init__.py
def cpu_percent(interval=0.1, percpu=False):
    """Return a float representing the current system-wide CPU
    utilization as a percentage.

    When interval is > 0.0 compares system CPU times elapsed before
    and after the interval (blocking).

    When interval is 0.0 or None compares system CPU times elapsed
    since last call or module import, returning immediately.
    In this case is recommended for accuracy that this function be
    called with at least 0.1 seconds between calls.

    When percpu is True returns a list of floats representing the
    utilization as a percentage for each CPU.
    First element of the list refers to first CPU, second element
    to second CPU and so on.
    The order of the list is consistent across calls.
    """
    global _last_cpu_times
    global _last_per_cpu_times
    blocking = interval is not None and interval > 0.0

    def calculate(t1, t2):
        t1_all = sum(t1)
        t1_busy = t1_all - t1.idle

        t2_all = sum(t2)
        t2_busy = t2_all - t2.idle

        # this usually indicates a float precision issue
        if t2_busy <= t1_busy:
            return 0.0

        busy_delta = t2_busy - t1_busy
        all_delta = t2_all - t1_all
        busy_perc = (busy_delta / all_delta) * 100
        return round(busy_perc, 1)

    # system-wide usage
    if not percpu:
        if blocking:
            t1 = cpu_times()
            time.sleep(interval)
        else:
            t1 = _last_cpu_times
        _last_cpu_times = cpu_times()
        return calculate(t1, _last_cpu_times)
    # per-cpu usage
    else:
        ret = []
        if blocking:
            tot1 = cpu_times(percpu=True)
            time.sleep(interval)
        else:
            tot1 = _last_per_cpu_times
        _last_per_cpu_times = cpu_times(percpu=True)
        for t1, t2 in zip(tot1, _last_per_cpu_times):
            ret.append(calculate(t1, t2))
        return ret
def cpu_percent(interval=0.1, percpu=False):
    """Return a float representing the current system-wide CPU
    utilization as a percentage.

    When interval is > 0.0 compares system CPU times elapsed before
    and after the interval (blocking).

    When interval is 0.0 or None compares system CPU times elapsed
    since last call or module import, returning immediately.
    In this case is recommended for accuracy that this function be
    called with at least 0.1 seconds between calls.

    When percpu is True returns a list of floats representing the
    utilization as a percentage for each CPU.
    First element of the list refers to first CPU, second element
    to second CPU and so on.
    The order of the list is consistent across calls.
    """
    global _last_cpu_times
    global _last_per_cpu_times
    blocking = interval is not None and interval > 0.0

    def calculate(t1, t2):
        t1_all = sum(t1)
        t1_busy = t1_all - t1.idle

        t2_all = sum(t2)
        t2_busy = t2_all - t2.idle

        # this usually indicates a float precision issue
        if t2_busy <= t1_busy:
            return 0.0

        busy_delta = t2_busy - t1_busy
        all_delta = t2_all - t1_all
        busy_perc = (busy_delta / all_delta) * 100
        return round(busy_perc, 1)

    # system-wide usage
    if not percpu:
        if blocking:
            t1 = cpu_times()
            time.sleep(interval)
        else:
            t1 = _last_cpu_times
        _last_cpu_times = cpu_times()
        return calculate(t1, _last_cpu_times)
    # per-cpu usage
    else:
        ret = []
        if blocking:
            tot1 = cpu_times(percpu=True)
            time.sleep(interval)
        else:
            tot1 = _last_per_cpu_times
        _last_per_cpu_times = cpu_times(percpu=True)
        for t1, t2 in zip(tot1, _last_per_cpu_times):
            ret.append(calculate(t1, t2))
        return ret
Return a float representing the current system-wide CPU
    utilization as a percentage.

    When interval is > 0.0 compares system CPU times elapsed before
    and after the interval (blocking).

    When interval is 0.0 or None compares system CPU times elapsed
    since last call or module import, returning immediately.
    In this case is recommended for accuracy that this function be
    called with at least 0.1 seconds between calls.

    When percpu is True returns a list of floats representing the
    utilization as a percentage for each CPU.
    First element of the list refers to first CPU, second element
    to second CPU and so on.
    The order of the list is consistent across calls.