jdhao

"""
Description: In this script, I plot the benchmark result of lambda compared
to itemgetter in the operator package. We sort a list of tuple (which has two
elements) to benchmark. The list element number ranges from 100 to 1000000.
"""
# import numpy as np
import matplotlib
import matplotlib.pyplot as plt

colors = ["#e6194b",

alexeygrigorev

from glob import glob

import multiprocessing
from concurrent.futures import ProcessPoolExecutor

import cv2
from PIL import Image
import imagehash

from tqdm import tqdm

jdhao

"{ Auto commands
" Do not use smart case in command line mode,
" extracted from https://goo.gl/vCTYdK
augroup dynamic_smartcase
    autocmd!
    autocmd CmdLineEnter : set nosmartcase
    autocmd CmdLineLeave : set smartcase
augroup END

" Set textwidth for text file types

jonjack

Using an Access Token for the first time

Follow the instructions on Github to Create an Access Token in Github

Configure Git to use the osxkeychain

By default, git credentials are not cached so you need to tell Git if you want to avoid having to provide them each time Github requires you to authenticate. On Mac, Git comes with an “osxkeychain” mode, which caches credentials in the secure keychain that’s attached to your system account.

You can tell Git you want to store credentials in the osxkeychain by running the following:-

YumaInaura

Zsh — autoload First Steps

What is autoload?

• Add file in specified directory and enable to use command.
  • Shell function behaves like command.
• Command name and file name is pair.

Make autoload directory

andreybolonin

Libuv and libev, two I/O libraries with similar names, recently had the privilege to use both libraries to write something. Now let's talk about my own subjective expression of common and different points.

The topic of high-performance network programming has been discussed. Asynchronous, asynchronous, or asynchronous. Whether it is epoll or kqueue, it is always indispensable to the asynchronous topic.

Libuv is asynchronous, and libev is synchronous multiplexing IO multiplexing.

Libev is a simple encapsulation of system I/O reuse. Basically, it solves the problem of different APIs between epoll and kqueuq. Ensure that programs written using livev's API can run on most *nix platforms. However, the disadvantages of libev are also obvious. Because it basically just encapsulates the Event Library, it is inconvenient to use. For example, accept(3) requires manual setnonblocking after connection. EAGAIN, EWOULDBLOCK, and EINTER need to be detected when reading from a socket. This is a

skulumani

Vim configuration

You can spend lots of time getting vim setup to your liking, and probably never finish customizing. My suggestion is to start small and stick to the basics before going crazy with plugins. While I've included some plugins, the hope is that you can easily get started with LaTeX with a minimal of effort and/or Googling.

Here is a small section of some of the things I've figured out to have vim working for editing LaTeX files easily.

1. Copy the file below to a file vimrc and start vim vim -u vimrc to use the file. After all your customization if you are happy then save your configuration to ~/.vimrc.

2. You can then start vim and install the plugins using the command :PlugInstall

singlepig

# modified from https://gist.github.com/deamwork/7cfb49777c2f163a475c71521cf7dd6e
# preview  https://i.loli.net/2017/12/11/5a2d782e2f695.png

rimeblue:
  name: "RimeBlue"
  horizontal: false                           # 候选条横向显示
  inline_preedit: true                        # 启用内嵌编码模式，候选条首行不显示拼音
  candidate_format: "%c.\u2005%@\u2005"       # 用 1/6 em 空格 U+2005 来控制编号 %c 和候选词 %@ 前后的空间。
  corner_radius: 10                            # 候选条圆角半径
  border_height: 0                            # 窗口边界高度，大于圆角半径才生效

jdhao

"""
in this script, we calculate the image per channel mean and standard
deviation in the training set, do not calculate the statistics on the
whole dataset, as per here http://cs231n.github.io/neural-networks-2/#datapre
"""

import numpy as np
from os import listdir
from os.path import join, isdir
from glob import glob

jdhao

from PIL import Image, ImageOps
import cv2

desired_size = 368
im_pth = "/home/jdhao/test.jpg"

# im = Image.open(im_pth)
# old_size = im.size  # old_size[0] is in (width, height) format

# ratio = float(desired_size)/max(old_size)