def neuroforce(attacking_move, attacking_pokemon, defending_pokemon,
first_move, weather):
if is_super_effective(attacking_move[constants.TYPE],
defending_pokemon.types):
attacking_move = attacking_move.copy()
attacking_move[constants.BASE_POWER] *= 1.25
return attacking_move
def weaknesspolicy(attacking_move, attacking_pokemon, defending_pokemon):
if attacking_move[
constants.
CATEGORY] in constants.DAMAGING_CATEGORIES and is_super_effective(
attacking_move[constants.TYPE], defending_pokemon.types):
attacking_move = attacking_move.copy()
attacking_move[constants.BOOSTS] = {
constants.ATTACK: 2,
constants.SPECIAL_ATTACK: 2,
}
return attacking_move
def evaluate_matchup(user_pkmn, opponent_pkmn):
score = 0
if user_pkmn.hp <= 0 or opponent_pkmn.hp <= 0:
return score
if user_pkmn.speed > opponent_pkmn.speed:
score += Scoring.FASTER_POKEMON_IN_MATCHUP
elif user_pkmn.speed < opponent_pkmn.speed:
score -= Scoring.FASTER_POKEMON_IN_MATCHUP
# positive bonus for the bot's type being super effective against the opponent
for user_type in user_pkmn.types:
if is_super_effective(user_type, opponent_pkmn.types):
score += Scoring.WEAK_TO_OPPONENT_TYPE
# negative bonus for the opponent's type being super effective against the bot's
for opponent_type in opponent_pkmn.types:
if is_super_effective(opponent_type, user_pkmn.types):
score -= Scoring.WEAK_TO_OPPONENT_TYPE
return score
def wonderguard(attacking_move, attacking_pokemon, defending_pokemon):
if not is_super_effective(attacking_move[constants.TYPE],
defending_pokemon.types):
attacking_move = attacking_move.copy()
attacking_move[constants.BASE_POWER] = 0
return attacking_move
def solidrock(attacking_move, attacking_pokemon, defending_pokemon):
if is_super_effective(attacking_move[constants.TYPE],
defending_pokemon.types):
attacking_move = attacking_move.copy()
attacking_move[constants.BASE_POWER] *= (3 / 4)
return attacking_move
def expertbelt(attacking_move, attacking_pokemon, defending_pokemon):
if is_super_effective(attacking_move[constants.TYPE],
defending_pokemon.types):
attacking_move = attacking_move.copy()
attacking_move[constants.BASE_POWER] *= 1.2
return attacking_move