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For detailed documentation on using the framework please see the README.md file at the Github repository at https://github.com/markblokpoel/lanag-core.
Language Agents Simulation framework
For detailed documentation on using the framework please see the README.md file at the Github repository at https://github.com/markblokpoel/lanag-core.

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root
package com

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root
package markblokpoel

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com
package lanag

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markblokpoel
package util
Provides classes and objects for dealing with the simulation infrastructure.
Provides classes and objects for dealing with the simulation infrastructure.
Overview
Spark simulations
Use com.markblokpoel.lanag.util.SparkSimulation to create an instance of Spark running locally on your machine:
```
import com.markblokpoel.lanag.com.markblokpoel.lanag.coreg.util.LocalSparkSimulation
import LocalSparkSimulation.spark.implicits._

val sequenceToBeParallelized = Seq(...)
val rdd = LocalSparkSimulation.parallelize(sequenceToBeParallelized)
```
You can now RDD functions like org.apache.spark.rdd.RDD.flatMap() and org.apache.spark.rdd.RDD.map() to apply transformations to the sequence.
```
rdd.map(a => a +1)
```
These will be executed lazily and in parallel. Until you write the results to file, or otherwise collect them, nothing will be executed. For a tutorial on Spark see the Apache Spark website https://spark.apache.org/docs/latest/quick-start.html.
Global number generators
The object com.markblokpoel.lanag.util.InteractionIdentifier is used in com.markblokpoel.lanag.core.Interaction to identify pairs of agents.
The object com.markblokpoel.lanag.util.RNG specifies a global random number generator. Implementations of com.markblokpoel.lanag.core.Interaction that use this object exclusive will be repeatable for specific RNG seeds.
Definition Classes
lanag
ConfigWrapper
DefaultMain
InteractionIdentifier
RNG
SparkSimulation
StreamingMap

com.markblokpoel.lanag.util

RNG

object RNG

A global Random Number Generator.

Can be used to generate random numbers of various types:

val p = RNG.nextProbability
val i = RNG.nextInt(10)
val b = RNG.nextBoolean

You can set the seed of the random number generator using:

RNG.setSeed(1024)

If simulations use RNG exclusively, the results are the same if all parameters and the seed are the same.

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def nextBoolean(p: Double): Boolean
Returns true with probability p or false otherwise.
def nextBoolean: Boolean
Returns a random boolean value.
def nextInt(upperbound: Int): Int
Returns a random integer between 0 and upperbound (inclusive).
def nextProbability: Double
Returns a random probability.
final def notify(): Unit

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def setSeed(seed: Long): Unit
Sets the global random number generator's seed number.
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Packages

Language Agents Simulation framework

Overview

Spark simulations

Global number generators

RNG

object RNG

Value Members

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Packages

Language Agents Simulation framework

Overview

Spark simulations

Global number generators

RNG 

object RNG

Value Members

Inherited from AnyRef

Inherited from Any

Ungrouped

RNG