jedi4ever

# /etc/security/limits.conf
*       soft    nofile  999999
*       hard    nofile  999999
root soft nofile 999999
root hard nofile 999999

===========================================================
# /etc/sysctl.conf
# sysctl for maximum tuning 

cuimuxi

import gevent
from gevent import monkey, queue

monkey.patch_all()

import urllib2
from time import sleep
import traceback
import logging

feilaoda

// requires
var utils = require('utils');
var casper = require('casper').create()
var casper = require('casper').create({
    verbose: true,
    logLevel: "debug"
});

// setup globals 
var email = casper.cli.options['email'] || 'REPLACE THIS EMAIL';

feilaoda

from gcrawler import GCrawler, Downloader
import unittest
import urllib2
import logging
import traceback
from datetime import datetime
import re

logging.basicConfig(level=logging.DEBUG)

feilaoda

Marktodo： A syntax for TODO lists
  
	#any.do#
	=project name
		-todo list
			[-] todo item A
			[=] doing item B
			[+] done item C
		+done list
			[+] done item a

ashrithr

Introduction to Kafka

Kafka acts as a kind of write-ahead log (WAL) that records messages to a persistent store (disk) and allows subscribers to read and apply these changes to their own stores in a system appropriate time-frame.

Terminology:

• Producers send messages to brokers
• Consumers read messages from brokers
• Messages are sent to a topic

jkreps

Producer

Setup
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test-rep-one --partitions 6 --replication-factor 1
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test --partitions 6 --replication-factor 3

Single thread, no replication

bin/kafka-run-class.sh org.apache.kafka.clients.tools.ProducerPerformance test7 50000000 100 -1 acks=1 bootstrap.servers=esv4-hcl198.grid.linkedin.com:9092 buffer.memory=67108864 batch.size=8196

KexinFeng

import ai.djl.modality.nlp.DefaultVocabulary;
import ai.djl.modality.nlp.Vocabulary;
import ai.djl.modality.nlp.bert.BertToken;
import ai.djl.modality.nlp.bert.BertTokenizer;
import ai.djl.modality.nlp.qa.QAInput;
import ai.djl.ndarray.NDArray;
import ai.djl.ndarray.NDList;
import ai.djl.ndarray.NDManager;
import ai.djl.translate.Batchifier;
import ai.djl.translate.Translator;