charlee

import functools

def timethis(func):
    """A profiling function used to record the time consumed on a function call."""

    @functools.wraps(func)
    def _(self, *a, **kw):

        start = time()
        ret = func(self, *a, **kw)

charlee

# losslessly concat mp4 files
ffmpeg -i input1.mp4 -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate1.ts
ffmpeg -i input2.mp4 -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate2.ts
ffmpeg -i "concat:intermediate1.ts|intermediate2.ts" -c copy -bsf:a aac_adtstoasc output.mp4

# concat files with the same format
# 1. create a file list
file '/path/to/file1'
file '/path/to/file2'
file '/path/to/file3'

charlee

// element dimension
var w = $(this).width();
var h = $(this).height();

// current window(viewport) dimension
var w = $(window).width();
var h = $(window).height();

// document dimension
var w = $(document).width();

charlee

var emailValidator = function(s) {

  s = $.trim(s);
  var name, addr, p = s.indexOf('<');

  if (p >= 0 && s.charAt(s.length - 1) == '>') {
    name = $.trim(s.substring(0, p));
    addr = s.substring(p+1, s.length - 1);
  } else {
    addr = s;

charlee

patch:
  schema_list:
  - schema: luna_pinyin_simp
  - schema: emoji

charlee

#!/usr/bin/env python

import sys
from subprocess import call

remote = sys.argv[1]
if remote == 'origin':
    for line in sys.stdin.readlines():
        local_ref, local_sha, remote_ref, remote_sha = line.split(' ')
        branch = remote_ref.split('/', 2)[2]

charlee

#!/usr/bin/env python

import os
import sys
import errno
from PIL import Image

try:
    filename = sys.argv[1]
    im = Image.open(filename)

charlee

#deprecated
def grep_php_const(lines, name):

    regexp = "^define\(\s*'%s',\s*'(.*)'\s*\);\s*$" % name
    for line in lines:
        m = re.match(regexp, line)
        if m:
            return m.group(1)

charlee

# scan a network
fping -a -r 0 -g 192.168.1.0/24

charlee

def read_and_decode(filename_queue):
    """Read from tfrecords file and decode and normalize the image data."""
    reader = tf.TFRecordReader()
    _, serialized_exmaple = reader.read(filename_queue)
    features = tf.parse_single_example(
        serialized_exmaple,
        features={
            'image': tf.FixedLenFeature([], tf.string),
            'label': tf.FixedLenFeature([], tf.int64),