One Dimensional Midpoint Displacement Terrain

No algorithm description given

This algorithm creates an array of unnormalized 32 bit float values that when rendered will resemble terrain. The inputs in the order they are to be sent: octaves : int -- the size of the array is 2^octaves + 1, so this value determines what power of two the array size will be. higher octaves interpolate more terrain, adding more detail. startPointVal : float -- the leftmost point in the array, along with endPointVal is used to determine other points values. endPointVal : float -- the rightmost point in the array. start and end points may be used to connect terrain pieces by matching end to start on subsequent terrains. smoothingFactor : float -- this determines the smoothness of the terrain. smoothingFactor < 0.5 -> rough, jagged, mountainous terrain. 0.5 < smoothingFactor < 0.9 -> mixed, mountainous terrain. smoothingFactor > 0.9 -> smooth, rolling hills seed : long -- seed for the Java Random number generator. using the same seed will return the same terrain so this, along with the same start and end points, can be used to 'save' a favorite terrain

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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'
View cURL Docs
algo auth
algo run algo://SpaceCat/OneDimensionalMidpointDisplacementTerrain/0.1.1 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia ""

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://SpaceCat/OneDimensionalMidpointDisplacementTerrain/0.1.1")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go 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://SpaceCat/OneDimensionalMidpointDisplacementTerrain/0.1.1");
AlgoResponse result = algo.pipeJson(input);
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://SpaceCat/OneDimensionalMidpointDisplacementTerrain/0.1.1")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('SpaceCat/OneDimensionalMidpointDisplacementTerrain/0.1.1')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("SpaceCat/OneDimensionalMidpointDisplacementTerrain/0.1.1")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('SpaceCat/OneDimensionalMidpointDisplacementTerrain/0.1.1')
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("SpaceCat/OneDimensionalMidpointDisplacementTerrain/0.1.1");
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: "SpaceCat/OneDimensionalMidpointDisplacementTerrain/0.1.1") { resp, error in
View Swift Docs
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