| self.view.layer.anchorPoint = CGPointMake(0.50, 1.0); | |
| CAKeyframeAnimation *bounceAnimation = [CAKeyframeAnimation animationWithKeyPath:@"transform.scale"]; | |
| bounceAnimation.values = [NSArray arrayWithObjects: | |
| [NSNumber numberWithFloat:0.05], | |
| [NSNumber numberWithFloat:1.08], | |
| [NSNumber numberWithFloat:0.92], | |
| [NSNumber numberWithFloat:1.0], | |
| nil]; |
| -- This is a Hive program. Hive is an SQL-like language that compiles | |
| -- into Hadoop Map/Reduce jobs. It's very popular among analysts at | |
| -- Facebook, because it allows them to query enormous Hadoop data | |
| -- stores using a language much like SQL. | |
| -- Our logs are stored on the Hadoop Distributed File System, in the | |
| -- directory /logs/randomhacks.net/access. They're ordinary Apache | |
| -- logs in *.gz format. | |
| -- | |
| -- We want to pretend that these gzipped log files are a database table, |
This is a simple way to backup your MySQL tables to Amazon S3 for a nightly backup - this is all to be done on your server :-)
Sister Document - Restore MySQL from Amazon S3 - read that next
this is for Centos 5.6, see http://s3tools.org/repositories for other systems like ubuntu etc
| -- This is a Hive program. Hive is an SQL-like language that compiles | |
| -- into Hadoop Map/Reduce jobs. It's very popular among analysts at | |
| -- Facebook, because it allows them to query enormous Hadoop data | |
| -- stores using a language much like SQL. | |
| -- Our logs are stored on the Hadoop Distributed File System, in the | |
| -- directory /logs/randomhacks.net/access. They're ordinary Apache | |
| -- logs in *.gz format. | |
| -- | |
| -- We want to pretend that these gzipped log files are a database table, |
| """ | |
| realertime.lib.spawn | |
| ~~~~~~~~~~~~~~~~~~~~ | |
| :author: Adam Hitchcock | |
| :copyright: (c) 2012 DISQUS. | |
| :license: Apache License 2.0, see LICENSE for more details. | |
| """ | |
| from __future__ import absolute_import |
| val MaxInt = """(inf)""".r | |
| val NormalInt = """(\d*)""".r | |
| def parseInt(integerString:String): Int = { | |
| integerString match { | |
| case MaxInt(_) => Integer.MAX_VALUE | |
| case NormalInt(_) => Integer.valueOf(integerString) | |
| case _ => throw new NumberFormatException(String.format("Cannot parse %s as an integer", integerString)) | |
| } | |
| } |
| """Information Retrieval metrics | |
| Useful Resources: | |
| http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt | |
| http://www.nii.ac.jp/TechReports/05-014E.pdf | |
| http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf | |
| http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf | |
| Learning to Rank for Information Retrieval (Tie-Yan Liu) | |
| """ | |
| import numpy as np |
| # Cross-matrix distances and different measurement options, with "proxy" | |
| doInstall <- TRUE # Change to FALSE if you don't want packages installed. | |
| toInstall <- c("proxy", "MASS", "Zelig") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| # Invent two data frames | |
| voterIdealPoints <- data.frame(matrix(rnorm(26*2), ncol = 2)) | |
| rownames(voterIdealPoints) <- letters |
| from celery import chain | |
| from django.core.management.base import BaseCommand | |
| from . import tasks | |
| class Command(BaseCommand): | |
| def handle(self, *args, **kwargs): |
| You can use cURL to upload packet captures to Packetloop. We created a simple script that shows how to login, list capture points, create capture points, upload and also check processing status. | |
| ## variables | |
| PL_ENDPOINT=https://www.packetloop.com | |
| PL_USERNAME=... # your packetloop email address | |
| PL_PASSWORD=... # your packetloop password | |
| ## logging in | |
| PL_TOKEN=$(curl -3 -s -b cookies.jar -c cookies.jar -X GET "$PL_ENDPOINT/init") | |
| curl -3 -s -H "X-CSRF-Token: $PL_TOKEN" -H "Content-Type: application/json" -H "Accept: application/json" -b cookies.jar -c cookies.jar -X POST "$PL_ENDPOINT/users/sign_in.json?pretty=true" -d "{ \"user\": { \"email\": \"$PL_USERNAME\", \"password\": \"$PL_PASSWORD\" } }" |
