Conway's Game Of Life

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This algorithm computes Conway's Game of Life . The basic input is: [ boardWidth , boardHeight , ListOfLiveCells ] 
Which will return the list of live cells in the next iteration of the game. The list of live cells expects List(int[]) where each int[] in the list is a pair of int values corresponding to a position on the board. The other inputs are [ ... , ... , ... , doesBoardWrap , numberOfIterations , returnAllIterations, returnEntireBoard]. 
 
 
 Name 
 
 Type 
 
 Description 
 
 
 
 doesBoardWrap 
 
 boolean 
 
 Determines if the edges of the board wrap to the opposite side. 
 
 
 numberOfIterations 
 
 int 
 
 The number of iterations to run. 
 
 
 returnAllIterations 
 
 boolean 
 
 If all iterations should be returned. 
 
 
 returnEntireBoard 
 
 boolean 
 
 If the return type should be a boolean[][] of the board. 
 
 
 
If returnEntireBoard is used returnAllIterations is ignored, and if set to false will only return the last instance of the board, while set to true will return all iterations of the board.

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1. Type your input

2. See the result

Running algorithm...

3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/thatguy2048/ConwaysGameOfLife/0.1.2
View cURL Docs
algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://thatguy2048/ConwaysGameOfLife/0.1.2 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://thatguy2048/ConwaysGameOfLife/0.1.2");
AlgoResponse result = algo.pipeJson(input);
System.out.println(result.asJsonString());
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://thatguy2048/ConwaysGameOfLife/0.1.2")
val result = algo.pipeJson(input)
System.out.println(result.asJsonString)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://thatguy2048/ConwaysGameOfLife/0.1.2")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://thatguy2048/ConwaysGameOfLife/0.1.2")
           .pipe(input)
           .then(function(response) {
             console.log(response.get());
           });
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('thatguy2048/ConwaysGameOfLife/0.1.2')
print algo.pipe(input)
View Python Docs
library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("thatguy2048/ConwaysGameOfLife/0.1.2")
result <- algo$pipe(input)$result
print(result)
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('thatguy2048/ConwaysGameOfLife/0.1.2')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::*;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("thatguy2048/ConwaysGameOfLife/0.1.2");
let response = algo.pipe(input);
View Rust Docs
import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "thatguy2048/ConwaysGameOfLife/0.1.2") { resp, error in
  print(resp)
}
View Swift Docs
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