kanshi

Filename: 101-relay-operator-alternate-identity.md
Title: Broadcasting Relay Operator Alternate Identities
Author: Jim Toth - [email protected], Slava Mushyaokv - [email protected], Andrzej Tuchołka - [email protected] & ATOR Labs LLC
Created: 2023-07-18
Status: Draft

Overview

kanshi

import pdi.jwt.{Jwt, JwtAlgorithm}
import org.bitcoins.core.util.Base58
import org.bouncycastle.jce.spec.ECPublicKeySpec
import org.bouncycastle.jce.ECNamedCurveTable
import org.bouncycastle.jce.provider.BouncyCastleProvider
import java.security.{KeyFactory, PublicKey, Security}
import scala.util._

val jwtToken = "eyJhbGciOiJFUzI1NiIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NDg1OTcwNzIsImV4cCI6MTY0ODU5NzY3Mn0.MFEtqJzrLTnjYwH4gAOsH-0qsrQIFsKcYHyHdE1WdWHLn_xa-fGPoV3OkDLr0Rk1IcIoawSrDXNxkyZR0wGhFw"
val desoPKey = "BC1YLhwpmWkgk2iM9yTSxzgUVhYjgessSPTiVHkkK9pMrhweqJnWrvK"

kanshi

Keybase proof

I hereby claim:

• I am kanshi on github.
• I am kanshi (https://keybase.io/kanshi) on keybase.
• I have a public key ASAmRgVDAh3J3EfBIChsvGBGz2ylso4hqnKOxi3KjRjFdAo

To claim this, I am signing this object:

kanshi

in vec2 v_texcoord; // texture coords
in vec3 v_normal;   // normal
in vec3 v_binormal; // binormal (for TBN basis calc)
in vec3 v_pos;      // pixel view space position

out vec4 color;

layout(std140) uniform Transforms
{
    mat4x4 world_matrix;  // object's world position

kanshi

case class Thoughtless[T <: String](
    val sensitivity: Double, 
    val focus: Int, 
    val memory: Memory[T] = Memory[T](Set[Mem[T]]()),
    val feelings: Feelings = Set[Emotion]()) {
  
  def focusScope(ioi: Set[T]): List[T] = ioi.toList.sortWith(_.length < _.length)
  
  def teach(ioi: T, emotion: Emotion) = Thoughtless[T](
      sensitivity, focus,

kanshi

import org.hashtree.stringmetric.similarity._

case class Memory[T <: String](val items: Set[Mem[T]]) {

  def rough(precision: Double) = precision - precision * 0.1
  def increased(precision: Double) = precision + precision / 2

  def compare(item1: T, item2: T, precision: Double): Boolean =
    JaroWinklerMetric.compare(item1, item2) match {
      case Some(similarity: Double) => (similarity > rough(precision))