Gecko [ gandhischool.edu.np ]

Name	Size	Permission
__pycache__	[ DIR ]	drwxr-xr-x
analyze	[ DIR ]	drwxr-xr-x
cmd	[ DIR ]	drwxr-xr-x
config	[ DIR ]	drwxr-xr-x
distros	[ DIR ]	drwxr-xr-x
filters	[ DIR ]	drwxr-xr-x
handlers	[ DIR ]	drwxr-xr-x
log	[ DIR ]	drwxr-xr-x
mergers	[ DIR ]	drwxr-xr-x
net	[ DIR ]	drwxr-xr-x
reporting	[ DIR ]	drwxr-xr-x
sources	[ DIR ]	drwxr-xr-x
__init__.py	0 B	-rw-r--r--
apport.py	8.3 KB	-rw-r--r--
atomic_helper.py	2.79 KB	-rw-r--r--
cloud.py	3.22 KB	-rw-r--r--
dmi.py	7.81 KB	-rw-r--r--
event.py	2 KB	-rw-r--r--
features.py	5.28 KB	-rw-r--r--
gpg.py	7.99 KB	-rw-r--r--
helpers.py	16.16 KB	-rw-r--r--
importer.py	2.43 KB	-rw-r--r--
lifecycle.py	7.79 KB	-rw-r--r--
netinfo.py	24.07 KB	-rw-r--r--
performance.py	3.1 KB	-rw-r--r--
persistence.py	2.52 KB	-rw-r--r--
registry.py	1022 B	-rw-r--r--
safeyaml.py	10.11 KB	-rw-r--r--
settings.py	2.12 KB	-rw-r--r--
signal_handler.py	3.92 KB	-rw-r--r--
simpletable.py	1.93 KB	-rw-r--r--
socket.py	5.93 KB	-rw-r--r--
ssh_util.py	22.21 KB	-rw-r--r--
stages.py	41.53 KB	-rw-r--r--
subp.py	12.43 KB	-rw-r--r--
temp_utils.py	2.94 KB	-rw-r--r--
templater.py	7.74 KB	-rw-r--r--
type_utils.py	703 B	-rw-r--r--
url_helper.py	38.15 KB	-rw-r--r--
user_data.py	14.44 KB	-rw-r--r--
util.py	90.38 KB	-rw-r--r--
version.py	568 B	-rw-r--r--
warnings.py	3.76 KB	-rw-r--r--

Code Editor : performance.py

import functools
import logging
import time

LOG = logging.getLogger(__name__)

class Timed:
    """
    A context manager which measures and optionally logs context run time.

:param msg: A message that describes the thing that is being measured
    :param threshold: Threshold, in seconds. When the context exceeds this
        threshold, a log will be made.
    :param log_mode: Control whether to log. Defaults to "threshold". Possible
        values include:
        "always" - Always log 'msg', even when 'threshold' is not reached.
        "threshold" - Log when context time exceeds 'threshold'.
        "skip" - Do not log. Context time and message are stored in the
            'output' and 'delta' attributes, respectively. Used to manually
            coalesce with other logs at the call site.

usage:

this call:
        ```
        with Timed("Configuring the network"):
            run_configure()
        ```

might produce this log:
        ```
            Configuring the network took 0.100 seconds
        ```
    """

def __init__(
        self,
        msg: str,
        *,
        threshold: float = 0.01,
        log_mode: str = "threshold",
    ):
        self.msg = msg
        self.threshold = threshold
        self.log_mode = log_mode
        self.output = ""
        self.start = 0.0
        self.delta = 0.0

def __enter__(self):
        self.start = time.monotonic()
        return self

def __exit__(self, exc_type, exc_val, exc_tb):
        self.delta = time.monotonic() - self.start
        suffix = f"took {self.delta:.3f} seconds"
        if "always" == self.log_mode:
            LOG.debug("%s %s", self.msg, suffix)
        elif "skip" == self.log_mode:
            return
        elif "threshold" == self.log_mode:
            if self.delta > self.threshold:
                LOG.debug("%s %s", self.msg, suffix)
                self.output = f"{self.msg} {suffix}"
        else:
            raise ValueError(
                f"Invalid Timed log_mode value: '{self.log_mode}'."
            )

def timed(msg: str, *, threshold: float = 0.01, log_mode: str = "threshold"):
    """
    A decorator which measures and optionally logs context run time.

usage:

this call:
        ```
        @timed("Configuring the network")
        def run_configure():
            ...
        ```

might produce this log:
        ```
            Configuring the network took 0.100 seconds
        ```
    """

def wrapper(func):
        @functools.wraps(func)
        def decorator(*args, **kwargs):
            with Timed(msg, threshold=threshold, log_mode=log_mode):
                return func(*args, **kwargs)

return decorator

return wrapper

${this.title}

Code Editor : performance.py