briangonzalez

img2boxshadow.rb

a ruby script to convert images to CSS (box-shadows)

Installation

gem install rmagick    # you'll need ImageMagick & Ruby first
gem install colormath
gem install micro-optparse

zedshaw

set -e

# go somewhere safe
cd /tmp

# get the source to base APR 1.5.2
curl -L -O http://archive.apache.org/dist/apr/apr-1.5.2.tar.gz

# extract it and go into the source
tar -xzvf apr-1.5.2.tar.gz

liuliqiang

#!/usr/bin/env python
# encoding: utf-8
from worker import add

# add.apply_async((1, ), priority=1)
# add.apply_async((1, ), priority=1)
add.apply_async((7, ), priority=7)
add.apply_async((6, ), priority=6)
add.apply_async((5, ), priority=5)
add.apply_async((8, ), priority=8)

xunkai55

# Do not excute the script directly. It is just for demonstration.
# If you followed the documentation and got the errors below, please take a look at this guide.

# Color management: using fallback mode for management
# bpy: couldnt find 'scripts/modules', blender probably wont start.
# Freestyle: couldn't find 'scripts/freestyle/modules', Freestyle won't work properly.
# ImportError: No module named 'bpy_types'
# ImportError: No module named 'bpy_types'
# pyrna_srna_ExternalType: failed to find 'bpy_types' module
# ImportError: No module named 'bpy_types'

mieitza

# @Author: xiewenqian <int>
# @Date:   2016-11-28T20:35:09+08:00
# @Email:  wixb50@gmail.com
# @Last modified by:   int
# @Last modified time: 2016-12-01T19:32:48+08:00


import pandas as pd
from pymongo import MongoClient

dslwind

# 邪魔歪道之使用OpenCV精准切割视频


## ffmpeg 切割视频
使用ffmpeg直接切割视频的命令
```
ffmpeg -i test.mp4 -ss 00:00:00 -t 00:00:30 -c:v copy -c:a copy output.mp4
```
或者
```

v0y4g3r

#! /bin/bash

in=$1

if [ -z "$in" ]
then
  in=$(cat -)
fi

if [ -z "$in" ]

tomericco

const str1 = 'This is an example to test cosine similarity between two strings';
const str2 = 'This example is testing cosine similatiry for given two strings';

//
// Preprocess strings and combine words to a unique collection
//

const str1Words = str1.trim().split(' ').map(omitPunctuations).map(toLowercase);
const str2Words = str2.trim().split(' ').map(omitPunctuations).map(toLowercase);
const allWordsUnique = Array.from(new Set(str1Words.concat(str2Words)));

stoensin

import tensorflow as tf
import numpy as np

##################################################################################
# Initialization
##################################################################################

# Xavier : tf.contrib.layers.xavier_initializer()
# He : tf.contrib.layers.variance_scaling_initializer()
# Normal : tf.random_normal_initializer(mean=0.0, stddev=0.02)

stoensin

class ALG(object):
    def __init__(self,list):
        self.list=list
    #冒泡
    def bubble_sort(nums):
        n =len(nums)
        for i in range(n - 1):  
            for j in range(n-1 - i):
                if nums[j+1] < nums[j]:
                    nums[j], nums[j + 1] = nums[j + 1], nums[j]