jboner

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

evanscottgray

docker ps | awk {' print $1 '} | tail -n+2 > tmp.txt; for line in $(cat tmp.txt); do docker kill $line; done; rm tmp.txt

gravesm

<?xml version="1.0" encoding="UTF-8"?>

<config>
    
    <luceneMatchVersion>4.5</luceneMatchVersion>

    <dataDir>${solr.data.dir:}</dataDir>

    <directoryFactory name="DirectoryFactory"
        class="${solr.directoryFactory:solr.NRTCachingDirectoryFactory}" />

squarism

Tabs and Windows

Function	Shortcut
New Tab	⌘ + T
Close Tab or Window	⌘ + W (same as many mac apps)
Go to Tab	⌘ + Number Key (ie: ⌘2 is 2nd tab)
Go to Split Pane by Direction	⌘ + Option + Arrow Key
Cycle iTerm Windows	⌘ + backtick (true of all mac apps and works with desktops/mission control)

danikin

// Tarantool quick test
// Copyright, Dennis Anikin 2016
//
// Quick disclaimer:
//
// This test shows 500K-1000K transactions per second on one CPU core
// and 600K-1600K queries per second on one CPU core.
//
// Based on the $6.57 per-month-price for the AWS t2.micro instance we can afford the tremendous number of 630bln queries for just $1
//

criccomini

import os
import unittest

from airflow.models import DagBag

class TestDags(unittest.TestCase):
    """
    Generic tests that all DAGs in the repository should be able to pass.
    """

jaron

import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Convolution2D, MaxPooling2D
from keras.optimizers import SGD
from keras.regularizers import l2, activity_l2
from keras.utils import np_utils
from sklearn import metrics 

# to run this code, you'll need to load the following data: 

varver

############ REQUIREMENTS ####################
# sudo apt-get install python-pip 
# sudo apt-get install libpq-dev
# sudo pip install psycopg2
# sudo pip install sqlalchemy
# sudo pip install sqlalchemy-redshift
##############################################

import sqlalchemy as sa
from sqlalchemy.orm import sessionmaker

panovr

import argparse
import os
import shutil
import time

import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim

kmurugulla

#! /bin/bash
#Author : Kiran Murugulla
#Description : Script to create an asset and upload binary from local machine into an S3 bucket

usage="Usage: s3-cp-speed-test.sh bucketname filepath \n"
BUCKET=$1
FILE=$2
if [ ! $# -eq 2 ] ; then
echo -e "$usage"
exit 2