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@kennethreitz
kennethreitz / 0_urllib2.py
Created May 16, 2011 00:17
urllib2 vs requests
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import urllib2
gh_url = 'https://api.github.com'
req = urllib2.Request(gh_url)
password_manager = urllib2.HTTPPasswordMgrWithDefaultRealm()
@jboner
jboner / latency.txt
Last active July 5, 2024 02:48
Latency Numbers Every Programmer Should Know
Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD
@luw2007
luw2007 / 词性标记.md
Last active June 29, 2024 14:17
词性标记: 包含 ICTPOS3.0词性标记集、ICTCLAS 汉语词性标注集、jieba 字典中出现的词性、simhash 中可以忽略的部分词性

词的分类

  • 实词:名词、动词、形容词、状态词、区别词、数词、量词、代词
  • 虚词:副词、介词、连词、助词、拟声词、叹词。

ICTPOS3.0词性标记集

n 名词

nr 人名

// These two need to be declared outside the try/catch
// so that they can be closed in the finally block.
HttpURLConnection urlConnection = null;
BufferedReader reader = null;
// Will contain the raw JSON response as a string.
String forecastJsonStr = null;
try {
// Construct the URL for the OpenWeatherMap query
@mjdietzx
mjdietzx / waya-dl-setup.sh
Last active March 13, 2024 15:08
Install CUDA Toolkit v8.0 and cuDNN v6.0 on Ubuntu 16.04
#!/bin/bash
# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda
@sergiobd
sergiobd / Dockerfile
Created September 4, 2023 07:46
Dockerfile for 3D Gaussian splatting
## Unofficial Dockerfile for 3D Gaussian Splatting for Real-Time Radiance Field Rendering
## Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George Drettakis
## https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/
# Use the base image with PyTorch and CUDA support
FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel
# NOTE:
# Building the libraries for this repository requires cuda *DURING BUILD PHASE*, therefore: