| > db.SondeDataContainer.stats() | |
| { | |
| "ns" : "netbeams.SondeDataContainer", | |
| "count" : 2419200, | |
| "size" : 1170892976, | |
| "storageSize" : 1358632416, | |
| "nindexes" : 20, | |
| "ok" : 1 | |
| } |
| > db.SondeDataContainer.find( {"observation.pH":4.52, "observation.Battery":1.4} ).explain() | |
| { | |
| "cursor" : "BasicCursor", | |
| "startKey" : { | |
| }, | |
| "endKey" : { | |
| }, | |
| "nscanned" : 2419200, |
| /* | |
| * The plugins used for this build. | |
| */ | |
| /* | |
| * Provides the compile, test, jar, etc tasks | |
| */ | |
| apply plugin: 'java' | |
| /* | |
| * Generates the Eclipse project files. |
| http://tour.golang.org/#43 | |
| As a simple way to play with functions and loops, implement the square root function using Newton's method. | |
| In this case, Newton's method is to approximate Sqrt(x) by picking a starting point z and then repeating: | |
| To begin with, just repeat that calculation 10 times and see how close you get to the answer for various values (1, 2, 3, ...). | |
| The approximation function for the SQRT function returns the given values for the SQRT(4)... |
| http://tour.golang.org/#44 | |
| PASS | |
| f("I am learning Go!") = | |
| map[string]int{"am":1, "I":1, "learning":1, "Go!":1} | |
| PASS | |
| f("The quick brown fox jumped over the lazy dog.") = | |
| map[string]int{"jumped":1, "lazy":1, "dog.":1, "brown":1, "over":1, "the":1, "fox":1, "quick":1, "The":1} | |
| PASS | |
| f("I ate a donut. Then I ate another donut.") = |
| package com.example.account; | |
| import static com.jayway.restassured.RestAssured.*; | |
| import static com.jayway.restassured.matcher.RestAssuredMatchers.*; | |
| import static org.hamcrest.Matchers.*; | |
| import net.sf.json.JSONObject; | |
| import org.junit.Test; |
This tutorial guides you through creating your first Vagrant project.
We start with a generic Ubuntu VM, and use the Chef provisioning tool to:
Afterwards, we'll see how easy it is to package our newly provisioned VM
This tutorial guides you through creating your first Vagrant project.
We start with a generic Ubuntu VM, and use the Chef provisioning tool to:
Afterwards, we'll see how easy it is to package our newly provisioned VM
This simple force-directed graph shows character co-occurence in Les Misérables. A physical simulation of charged particles and springs places related characters in closer proximity, while unrelated characters are farther apart. Layout algorithm inspired by Tim Dwyer and Thomas Jakobsen. Data based on character coappearence in Victor Hugo's Les Misérables, compiled by Donald Knuth.
Compare this display to a force layout with curved links, a force layout with fisheye distortion and a matrix diagram.
| 0 info it worked if it ends with ok | |
| 1 verbose cli [ '/usr/bin/nodejs', '/usr/bin/npm', 'publish' ] | |
| 2 info using npm@1.3.10 | |
| 3 info using node@v0.10.25 | |
| 4 verbose publish [ '.' ] | |
| 5 verbose cache add [ '.', null ] | |
| 6 verbose cache add name=undefined spec="." args=[".",null] | |
| 7 verbose parsed url { protocol: null, | |
| 7 verbose parsed url slashes: null, | |
| 7 verbose parsed url auth: null, |