aadps

#!/bin/bash
m3u="/www/1.m3u"
dvrpath="/mnt/media/"

echo -n "频道名："
read chan
while [ -z $(cat /www/1.m3u | grep ${chan} -A 1 | head -2 | tail -1) ]; do
	echo -n "无此频道，请重新输入："
	read chan
done

aadps

[Definition]

failregex = ^<HOST> - - \[\] ".*" 30[12] \d+ ".*" "[^-].*".*$

ignoreregex =

datepattern = ^[^\[]*\[({DATE})
              {^LN-BEG}

aadps

#!/bin/bash

scp aadps.net:/tmp/db.zip /home/cathiabi/dbback/$(date +%y%m%d).zip

aadps

#!/bin/sh

touch /run/tmp
vcgencmd measure_temp | cut -d"=" -f2 > /run/temp

aadps

with open("/mnt/dev/lexicon.txt", "r") as file1, open("/mnt/dev/l.txt", "w") as file2:
    for line in file1:
        items = line.split("\t")
        if items[3].startswith("nn"):
            items[3] = "1"
        elif items[3].startswith("vv"):
            items[3] = "2"
        elif items[3].startswith("jj"):
            items[3] = "3"
        elif items[3].startswith("rr"):

aadps

#!/usr/bin/env python

import RPi.GPIO as GPIO
import time
import requests
import os

RED=22
YELLOW=27
GREEN=17

aadps

#!/usr/bin/python
import sys
import Adafruit_DHT
import json
import time
from datetime import datetime

def update(hum, temp, t):
	with open('/var/www/html/data.json', 'r+') as f:
		data = json.load(f)

aadps

#!/usr/bin/env python3


import lilcom
import numpy as np

a = np.empty((0))
b = lilcom.compress(a)

assert b[0] == 76

aadps

import torch
from torch.optim.optimizer import Optimizer, required


class SGD_MC(Optimizer):
    r"""Implements stochastic gradient descent (optionally with momentum).
    Nesterov momentum is based on the formula from
    `On the importance of initialization and momentum in deep learning`__.
    Args:
        params (iterable): iterable of parameters to optimize or dicts defining

aadps

#!/bin/bash

# Intel MKL is now freely available even for commercial use. This script
# attempts to install the MKL package automatically from Intel's repository.
#
# For manual repository setup instructions, see:
#   https://software.intel.com/articles/installing-intel-free-libs-and-python-yum-repo
#   https://software.intel.com/articles/installing-intel-free-libs-and-python-apt-repo
#
# For other package managers, or non-Linux platforms, see: