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class Responder: # simple random response dispenser def __init__(self, *replies: str): self.responses: list[str] = [] for response in replies: self.responses.append(response) def getAResponse(self) -> str: if not self.responses: return...

class Cycler: # cycles through numbers limit to 0 non-stop def __init__(self, limit: int): self.limit: int = limit self._cycler: int = limit def cycleCount(self) -> int: self._cycler -= 1 if self._cycler < 0: self._cycler = self.limit...

class CombinatoricalUtils: # combo related algorithmic tools def __init__(self): self.result: list[str] = [] def _generatePermutations(self, lists: list[list[str]], result: list[str], depth: int, current: str): # this function has a private modifier (the "_" makes it...

@ZORO

class AXNightRider: # night rider display simulation for LED lights count up than down def __init__(self, limit: int): self._mode: int = 0 self._position: int = 0 self._lim = 0 if limit > 0: self._lim = limit self._direction = 1...

''' PRIORITYQUEUE CLASS ''' # A simple implementation of Priority Queue # using Queue. class LGFIFO: def __init__(self): self.queue = [] def __str__(self): return ' '.join([str(i) for i in self.queue]) # for checking if the queue is empty def isEmpty(self)...

Corviknight (M) @ Expert Belt Ability: Mirror Armor Shiny: Yes Tera Type: Flying EVs: 252 Atk / 252 Def / 4 SpD Adamant Nature - Brave Bird - Drill Peck - Bulk Up - Screech

Skeledirge @ Aguav Berry Ability: Blaze Tera Type: Fire EVs: 4 HP / 252 SpA / 248 SpD / 4 Spe Modest Nature - Belch - Torch Song - Sunny Day - Shadow Ball

Chi-Yu @ Wide Lens Ability: Beads of Ruin Tera Type: Fire EVs: 252 HP / 252 SpA / 4 Spe Modest Nature IVs: 0 Atk - Fire Blast - Fire Blast - Nasty Plot - Reflect

we should use koraidon + chi yu

when do you want to catch him ? today?

from __future__ import annotations from LivinGrimoireCoreV2 import * import random class AlgDispenser: # super class to output an algorithm out of a selection of algorithms def __init__(self, *algorithms: Algorithm): super().__init__() self._algs: list[Algorithm] = []...

package AXJava; import LivinGrimoire.Algorithm; import java.util.ArrayList; import java.util.Random; // (*)Algorithm Dispensers public class AlgDispenser { // super class to output an algorithm out of a selection of algorithms private ArrayList<Algorithm> algs = new...