3986f6f11a
* Pokemon Emerald: WIP add rock smash encounter randomization * Pokemon Emerald: Refactor encounter data on maps * Pokemon Emerald: Remove unused import * Pokemon Emerald: Swap StrEnum for regular Enum and use .value
703 lines
32 KiB
Python
703 lines
32 KiB
Python
"""
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Functions related to pokemon species and moves
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"""
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import functools
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from typing import TYPE_CHECKING, Dict, List, Set, Optional, Tuple
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from .data import (NUM_REAL_SPECIES, OUT_OF_LOGIC_MAPS, EncounterType, EncounterTableData, LearnsetMove, SpeciesData,
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MapData, data)
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from .options import (Goal, HmCompatibility, LevelUpMoves, RandomizeAbilities, RandomizeLegendaryEncounters,
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RandomizeMiscPokemon, RandomizeStarters, RandomizeTypes, RandomizeWildPokemon,
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TmTutorCompatibility)
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from .util import bool_array_to_int, get_easter_egg, int_to_bool_array
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if TYPE_CHECKING:
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from random import Random
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from . import PokemonEmeraldWorld
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_DAMAGING_MOVES = frozenset({
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1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13,
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16, 17, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30,
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31, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 51,
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52, 53, 55, 56, 58, 59, 60, 61, 62, 63, 64, 65,
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66, 67, 69, 71, 72, 75, 76, 80, 82, 83, 84, 85,
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87, 88, 89, 91, 93, 94, 98, 99, 101, 121, 122, 123,
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124, 125, 126, 128, 129, 130, 131, 132, 136, 140, 141, 143,
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145, 146, 149, 152, 154, 155, 157, 158, 161, 162, 163, 167,
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168, 172, 175, 177, 179, 181, 183, 185, 188, 189, 190, 192,
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196, 198, 200, 202, 205, 209, 210, 211, 216, 217, 218, 221,
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222, 223, 224, 225, 228, 229, 231, 232, 233, 237, 238, 239,
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242, 245, 246, 247, 248, 250, 251, 253, 257, 263, 265, 267,
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276, 279, 280, 282, 284, 290, 292, 295, 296, 299, 301, 302,
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304, 305, 306, 307, 308, 309, 310, 311, 314, 315, 317, 318,
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323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 337, 338,
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340, 341, 342, 343, 344, 345, 348, 350, 351, 352, 353, 354,
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})
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"""IDs for moves that safely deal direct damage, for avoiding putting the
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player in a situation where they can only use status moves, or are forced
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to faint themselves, or something of that nature."""
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_MOVE_TYPES = [
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0, 0, 1, 0, 0, 0, 0, 10, 15, 13, 0, 0, 0, 0, 0,
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0, 2, 2, 0, 2, 0, 0, 12, 0, 1, 0, 1, 1, 4, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 6, 6, 0, 17,
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0, 0, 0, 0, 0, 0, 3, 10, 10, 15, 11, 11, 11, 15, 15,
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14, 11, 15, 0, 2, 2, 1, 1, 1, 1, 0, 12, 12, 12, 0,
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12, 12, 3, 12, 12, 12, 6, 16, 10, 13, 13, 13, 13, 5, 4,
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4, 4, 3, 14, 14, 14, 14, 14, 0, 0, 14, 7, 0, 0, 0,
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0, 0, 0, 0, 7, 11, 0, 14, 14, 15, 14, 0, 0, 0, 2,
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0, 0, 7, 3, 3, 4, 10, 11, 11, 0, 0, 0, 0, 14, 14,
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0, 1, 0, 14, 3, 0, 6, 0, 2, 0, 11, 0, 12, 0, 14,
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0, 3, 11, 0, 0, 4, 14, 5, 0, 0, 0, 0, 0, 0, 0,
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0, 0, 1, 17, 6, 0, 7, 10, 0, 9, 0, 0, 2, 12, 1,
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7, 15, 0, 1, 0, 17, 0, 0, 3, 4, 11, 4, 13, 0, 7,
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0, 15, 1, 4, 0, 16, 5, 12, 0, 0, 5, 0, 0, 0, 13,
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6, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 4, 1, 6,
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16, 0, 0, 17, 0, 0, 8, 8, 1, 0, 12, 0, 0, 1, 16,
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11, 10, 17, 14, 0, 0, 5, 7, 14, 1, 11, 17, 0, 0, 0,
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0, 0, 10, 15, 17, 17, 10, 17, 0, 1, 0, 0, 0, 13, 17,
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0, 14, 14, 0, 0, 12, 1, 14, 0, 1, 1, 0, 17, 0, 10,
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14, 14, 0, 7, 17, 0, 11, 1, 0, 6, 14, 14, 2, 0, 10,
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4, 15, 12, 0, 0, 3, 0, 10, 11, 8, 7, 0, 12, 17, 2,
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10, 0, 5, 6, 8, 12, 0, 14, 11, 6, 7, 14, 1, 4, 15,
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11, 12, 2, 15, 8, 0, 0, 16, 12, 1, 2, 4, 3, 0, 13,
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12, 11, 14, 12, 16, 5, 13, 11, 8, 14,
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]
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"""Maps move ids to the type of that move"""
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_MOVES_BY_TYPE: Dict[int, List[int]] = {}
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"""Categorizes move ids by their type"""
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for move, type in enumerate(_MOVE_TYPES):
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_MOVES_BY_TYPE.setdefault(type, []).append(move)
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HM_MOVES = frozenset({
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data.constants["MOVE_CUT"],
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data.constants["MOVE_FLY"],
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data.constants["MOVE_SURF"],
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data.constants["MOVE_STRENGTH"],
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data.constants["MOVE_FLASH"],
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data.constants["MOVE_ROCK_SMASH"],
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data.constants["MOVE_WATERFALL"],
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data.constants["MOVE_DIVE"],
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})
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_MOVE_BLACKLIST = frozenset({
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0, # MOVE_NONE
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165, # Struggle
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} | HM_MOVES)
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@functools.lru_cache(maxsize=386)
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def get_species_id_by_label(label: str) -> int:
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return next(species.species_id for species in data.species.values() if species.label == label)
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def get_random_type(random: "Random") -> int:
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picked_type = random.randrange(0, 18)
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while picked_type == 9: # Don't pick the ??? type
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picked_type = random.randrange(0, 18)
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return picked_type
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def get_random_move(
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random: "Random",
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blacklist: Optional[Set[int]] = None,
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type_bias: int = 0,
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normal_bias: int = 0,
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type_target: Optional[Tuple[int, int]] = None) -> int:
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expanded_blacklist = _MOVE_BLACKLIST | (blacklist if blacklist is not None else set())
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bias = random.random() * 100
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if bias < type_bias:
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pass # Keep type_target unchanged
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elif bias < type_bias + ((100 - type_bias) * (normal_bias / 100)):
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type_target = (0, 0)
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else:
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type_target = None
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chosen_move = None
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# The blacklist is relatively small, so if we don't need to restrict
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# ourselves to any particular types, it's usually much faster to pick
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# a random number and hope it works. Limit this to 5 tries in case the
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# blacklist is actually significant enough to make this unlikely to work.
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if type_target is None:
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remaining_attempts = 5
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while remaining_attempts > 0:
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remaining_attempts -= 1
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chosen_move = random.randrange(0, data.constants["MOVES_COUNT"])
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if chosen_move not in expanded_blacklist:
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return chosen_move
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else:
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chosen_move = None
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# We're either matching types or failed to pick a move above
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if type_target is None:
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possible_moves = [i for i in range(data.constants["MOVES_COUNT"]) if i not in expanded_blacklist]
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else:
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possible_moves = [move for move in _MOVES_BY_TYPE[type_target[0]] if move not in expanded_blacklist] + \
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[move for move in _MOVES_BY_TYPE[type_target[1]] if move not in expanded_blacklist]
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if len(possible_moves) == 0:
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return get_random_move(random, None, type_bias, normal_bias, type_target)
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return random.choice(possible_moves)
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def get_random_damaging_move(random: "Random", blacklist: Optional[Set[int]] = None) -> int:
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expanded_blacklist = _MOVE_BLACKLIST | (blacklist if blacklist is not None else set())
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move_options = list(_DAMAGING_MOVES)
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move = random.choice(move_options)
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while move in expanded_blacklist:
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move = random.choice(move_options)
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return move
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def filter_species_by_nearby_bst(species: List[SpeciesData], target_bst: int) -> List[SpeciesData]:
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# Sort by difference in bst, then chop off the tail of the list that's more than
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# 10% different. If that leaves the list empty, increase threshold to 20%, then 30%, etc.
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species = sorted(species, key=lambda species: abs(sum(species.base_stats) - target_bst))
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cutoff_index = 0
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max_percent_different = 10
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while cutoff_index == 0 and max_percent_different < 10000:
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while cutoff_index < len(species) and abs(sum(species[cutoff_index].base_stats) - target_bst) < target_bst * (max_percent_different / 100):
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cutoff_index += 1
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max_percent_different += 10
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return species[:cutoff_index + 1]
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def randomize_types(world: "PokemonEmeraldWorld") -> None:
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if world.options.types == RandomizeTypes.option_shuffle:
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type_map = list(range(18))
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world.random.shuffle(type_map)
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# We never want to map to the ??? type, so swap whatever index maps to ??? with ???
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# which forces ??? to always map to itself. There are no pokemon which have the ??? type
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mystery_type_index = type_map.index(9)
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type_map[mystery_type_index], type_map[9] = type_map[9], type_map[mystery_type_index]
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for species in world.modified_species.values():
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species.types = (type_map[species.types[0]], type_map[species.types[1]])
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elif world.options.types == RandomizeTypes.option_completely_random:
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for species in world.modified_species.values():
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new_type_1 = get_random_type(world.random)
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new_type_2 = new_type_1
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if species.types[0] != species.types[1]:
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while new_type_1 == new_type_2:
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new_type_2 = get_random_type(world.random)
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species.types = (new_type_1, new_type_2)
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elif world.options.types == RandomizeTypes.option_follow_evolutions:
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already_modified: Set[int] = set()
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# Similar to follow evolutions for abilities, but only needs to loop through once.
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# For every pokemon without a pre-evolution, generates a random mapping from old types to new types
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# and then walks through the evolution tree applying that map. This means that evolutions that share
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# types will have those types mapped to the same new types, and evolutions with new or diverging types
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# will still have new or diverging types.
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# Consider:
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# - Charmeleon (Fire/Fire) -> Charizard (Fire/Flying)
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# - Onyx (Rock/Ground) -> Steelix (Steel/Ground)
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# - Nincada (Bug/Ground) -> Ninjask (Bug/Flying) && Shedinja (Bug/Ghost)
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# - Azurill (Normal/Normal) -> Marill (Water/Water)
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for species in world.modified_species.values():
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if species.species_id in already_modified:
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continue
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if species.pre_evolution is not None and species.pre_evolution not in already_modified:
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continue
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type_map = list(range(18))
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world.random.shuffle(type_map)
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# We never want to map to the ??? type, so swap whatever index maps to ??? with ???
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# which forces ??? to always map to itself. There are no pokemon which have the ??? type
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mystery_type_index = type_map.index(9)
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type_map[mystery_type_index], type_map[9] = type_map[9], type_map[mystery_type_index]
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evolutions = [species]
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while len(evolutions) > 0:
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evolution = evolutions.pop()
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evolution.types = (type_map[evolution.types[0]], type_map[evolution.types[1]])
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already_modified.add(evolution.species_id)
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evolutions += [world.modified_species[evo.species_id] for evo in evolution.evolutions]
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_encounter_subcategory_ranges: Dict[EncounterType, Dict[range, Optional[str]]] = {
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EncounterType.LAND: {range(0, 12): None},
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EncounterType.WATER: {range(0, 5): None},
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EncounterType.FISHING: {range(0, 2): "OLD_ROD", range(2, 5): "GOOD_ROD", range(5, 10): "SUPER_ROD"},
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}
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def _rename_wild_events(world: "PokemonEmeraldWorld", map_data: MapData, new_slots: List[int], encounter_type: EncounterType):
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"""
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Renames the events that correspond to wild encounters to reflect the new species there after randomization
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"""
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for i, new_species_id in enumerate(new_slots):
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# Get the subcategory for rods
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subcategory_range, subcategory_name = next(
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(r, sc)
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for r, sc in _encounter_subcategory_ranges[encounter_type].items()
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if i in r
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)
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subcategory_species = []
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for k in subcategory_range:
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if new_slots[k] not in subcategory_species:
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subcategory_species.append(new_slots[k])
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# Create the name of the location that corresponds to this encounter slot
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# Fishing locations include the rod name
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subcategory_str = "" if subcategory_name is None else "_" + subcategory_name
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encounter_location_index = subcategory_species.index(new_species_id) + 1
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encounter_location_name = f"{map_data.name}_{encounter_type.value}_ENCOUNTERS{subcategory_str}_{encounter_location_index}"
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try:
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# Get the corresponding location and change the event name to reflect the new species
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slot_location = world.multiworld.get_location(encounter_location_name, world.player)
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slot_location.item.name = f"CATCH_{data.species[new_species_id].name}"
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except KeyError:
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pass # Map probably isn't included; should be careful here about bad encounter location names
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def randomize_wild_encounters(world: "PokemonEmeraldWorld") -> None:
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if world.options.wild_pokemon == RandomizeWildPokemon.option_vanilla:
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return
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from collections import defaultdict
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should_match_bst = world.options.wild_pokemon in {
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RandomizeWildPokemon.option_match_base_stats,
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RandomizeWildPokemon.option_match_base_stats_and_type,
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}
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should_match_type = world.options.wild_pokemon in {
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RandomizeWildPokemon.option_match_type,
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RandomizeWildPokemon.option_match_base_stats_and_type,
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}
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already_placed = set()
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num_placeable_species = NUM_REAL_SPECIES - len(world.blacklisted_wilds)
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priority_species = [data.constants["SPECIES_WAILORD"], data.constants["SPECIES_RELICANTH"]]
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# Loop over map data to modify their encounter slots
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map_names = list(world.modified_maps.keys())
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world.random.shuffle(map_names)
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for map_name in map_names:
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placed_priority_species = False
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map_data = world.modified_maps[map_name]
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new_encounters: Dict[EncounterType, EncounterTableData] = {}
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for encounter_type, table in map_data.encounters.items():
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# Create a map from the original species to new species
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# instead of just randomizing every slot.
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# Force area 1-to-1 mapping, in other words.
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species_old_to_new_map: Dict[int, int] = {}
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for species_id in table.slots:
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if species_id not in species_old_to_new_map:
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if not placed_priority_species and len(priority_species) > 0 \
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and encounter_type != EncounterType.ROCK_SMASH and map_name not in OUT_OF_LOGIC_MAPS:
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new_species_id = priority_species.pop()
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placed_priority_species = True
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else:
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original_species = data.species[species_id]
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# Construct progressive tiers of blacklists that can be peeled back if they
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# collectively cover too much of the pokedex. A lower index in `blacklists`
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# indicates a more important set of species to avoid. Entries at `0` will
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# always be blacklisted.
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blacklists: Dict[int, List[Set[int]]] = defaultdict(list)
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# Blacklist pokemon already on this table
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blacklists[0].append(set(species_old_to_new_map.values()))
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# If doing legendary hunt, blacklist Latios from wild encounters so
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# it can be tracked as the roamer. Otherwise it may be impossible
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# to tell whether a highlighted route is the roamer or a wild
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# encounter.
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if world.options.goal == Goal.option_legendary_hunt:
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blacklists[0].append({data.constants["SPECIES_LATIOS"]})
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# If dexsanity/catch 'em all mode, blacklist already placed species
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# until every species has been placed once
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if world.options.dexsanity and len(already_placed) < num_placeable_species:
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blacklists[1].append(already_placed)
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# Blacklist from player options
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blacklists[2].append(world.blacklisted_wilds)
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# Type matching blacklist
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if should_match_type:
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blacklists[3].append({
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species.species_id
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for species in world.modified_species.values()
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if not bool(set(species.types) & set(original_species.types))
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})
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merged_blacklist: Set[int] = set()
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for max_priority in reversed(sorted(blacklists.keys())):
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merged_blacklist = set()
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for priority in blacklists.keys():
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if priority <= max_priority:
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for blacklist in blacklists[priority]:
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merged_blacklist |= blacklist
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if len(merged_blacklist) < NUM_REAL_SPECIES:
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break
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else:
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raise RuntimeError("This should never happen")
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candidates = [
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species
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for species in world.modified_species.values()
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if species.species_id not in merged_blacklist
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]
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if should_match_bst:
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candidates = filter_species_by_nearby_bst(candidates, sum(original_species.base_stats))
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new_species_id = world.random.choice(candidates).species_id
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species_old_to_new_map[species_id] = new_species_id
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if world.options.dexsanity and encounter_type != EncounterType.ROCK_SMASH \
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and map_name not in OUT_OF_LOGIC_MAPS:
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already_placed.add(new_species_id)
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# Actually create the new list of slots and encounter table
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new_slots: List[int] = []
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for species_id in table.slots:
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new_slots.append(species_old_to_new_map[species_id])
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new_encounters[encounter_type] = EncounterTableData(new_slots, table.address)
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# Rock smash encounters not used in logic, so they have no events
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if encounter_type != EncounterType.ROCK_SMASH:
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_rename_wild_events(world, map_data, new_slots, encounter_type)
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map_data.encounters = new_encounters
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def randomize_abilities(world: "PokemonEmeraldWorld") -> None:
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if world.options.abilities == RandomizeAbilities.option_vanilla:
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return
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# Creating list of potential abilities
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ability_label_to_value = {ability.label.lower(): ability.ability_id for ability in data.abilities}
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ability_blacklist_labels = {"cacophony"} # Cacophony is defined and has a description, but no effect
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option_ability_blacklist = world.options.ability_blacklist.value
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if option_ability_blacklist is not None:
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ability_blacklist_labels |= {ability_label.lower() for ability_label in option_ability_blacklist}
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ability_blacklist = {ability_label_to_value[label] for label in ability_blacklist_labels}
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ability_whitelist = [a.ability_id for a in data.abilities if a.ability_id not in ability_blacklist]
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if world.options.abilities == RandomizeAbilities.option_follow_evolutions:
|
|
already_modified: Set[int] = set()
|
|
|
|
# Loops through species and only tries to modify abilities if the pokemon has no pre-evolution
|
|
# or if the pre-evolution has already been modified. Then tries to modify all species that evolve
|
|
# from this one which have the same abilities.
|
|
#
|
|
# The outer while loop only runs three times for vanilla ordering: Once for a first pass, once for
|
|
# Hitmonlee/Hitmonchan, and once to verify that there's nothing left to do.
|
|
while True:
|
|
had_clean_pass = True
|
|
for species in world.modified_species.values():
|
|
if species.species_id in already_modified:
|
|
continue
|
|
if species.pre_evolution is not None and species.pre_evolution not in already_modified:
|
|
continue
|
|
|
|
had_clean_pass = False
|
|
|
|
old_abilities = species.abilities
|
|
# 0 is the value for "no ability"; species with only 1 ability have the other set to 0
|
|
new_abilities = (
|
|
0 if old_abilities[0] == 0 else world.random.choice(ability_whitelist),
|
|
0 if old_abilities[1] == 0 else world.random.choice(ability_whitelist)
|
|
)
|
|
|
|
# Recursively modify the abilities of anything that evolves from this pokemon
|
|
# until the evolution doesn't have a matching set of abilities
|
|
evolutions = [species]
|
|
while len(evolutions) > 0:
|
|
evolution = evolutions.pop()
|
|
if evolution.abilities == old_abilities:
|
|
evolution.abilities = new_abilities
|
|
already_modified.add(evolution.species_id)
|
|
evolutions += [
|
|
world.modified_species[evolution.species_id]
|
|
for evolution in evolution.evolutions
|
|
if evolution.species_id not in already_modified
|
|
]
|
|
|
|
if had_clean_pass:
|
|
break
|
|
else: # Not following evolutions
|
|
for species in world.modified_species.values():
|
|
old_abilities = species.abilities
|
|
# 0 is the value for "no ability"; species with only 1 ability have the other set to 0
|
|
new_abilities = (
|
|
0 if old_abilities[0] == 0 else world.random.choice(ability_whitelist),
|
|
0 if old_abilities[1] == 0 else world.random.choice(ability_whitelist)
|
|
)
|
|
|
|
species.abilities = new_abilities
|
|
|
|
|
|
def randomize_learnsets(world: "PokemonEmeraldWorld") -> None:
|
|
if world.options.level_up_moves == LevelUpMoves.option_vanilla:
|
|
return
|
|
|
|
type_bias = world.options.move_match_type_bias.value
|
|
normal_bias = world.options.move_normal_type_bias.value
|
|
|
|
for species in world.modified_species.values():
|
|
old_learnset = species.learnset
|
|
new_learnset: List[LearnsetMove] = []
|
|
|
|
# All species have 4 moves at level 0. Up to 3 of them are blank spaces reserved for the
|
|
# start with four moves option. This either replaces those moves or leaves it blank
|
|
# and moves the cursor.
|
|
cursor = 0
|
|
while old_learnset[cursor].move_id == 0:
|
|
if world.options.level_up_moves == LevelUpMoves.option_start_with_four_moves:
|
|
new_move = get_random_move(world.random,
|
|
{move.move_id for move in new_learnset} | world.blacklisted_moves,
|
|
type_bias, normal_bias, species.types)
|
|
else:
|
|
new_move = 0
|
|
new_learnset.append(old_learnset[cursor]._replace(move_id=new_move))
|
|
cursor += 1
|
|
|
|
# All moves from here onward are actual moves.
|
|
while cursor < len(old_learnset):
|
|
# Guarantees the starter has a good damaging move; i will always be <=3 when entering this loop
|
|
if cursor == 3:
|
|
new_move = get_random_damaging_move(world.random, {move.move_id for move in new_learnset})
|
|
else:
|
|
new_move = get_random_move(world.random,
|
|
{move.move_id for move in new_learnset} | world.blacklisted_moves,
|
|
type_bias, normal_bias, species.types)
|
|
new_learnset.append(old_learnset[cursor]._replace(move_id=new_move))
|
|
cursor += 1
|
|
|
|
species.learnset = new_learnset
|
|
|
|
|
|
def randomize_starters(world: "PokemonEmeraldWorld") -> None:
|
|
if world.options.starters == RandomizeStarters.option_vanilla:
|
|
return
|
|
|
|
should_match_bst = world.options.starters in {
|
|
RandomizeStarters.option_match_base_stats,
|
|
RandomizeStarters.option_match_base_stats_and_type,
|
|
}
|
|
should_match_type = world.options.starters in {
|
|
RandomizeStarters.option_match_type,
|
|
RandomizeStarters.option_match_base_stats_and_type,
|
|
}
|
|
|
|
new_starters: List[SpeciesData] = []
|
|
|
|
easter_egg_type, easter_egg_value = get_easter_egg(world.options.easter_egg.value)
|
|
if easter_egg_type == 1:
|
|
new_starters = [
|
|
world.modified_species[easter_egg_value],
|
|
world.modified_species[easter_egg_value],
|
|
world.modified_species[easter_egg_value]
|
|
]
|
|
else:
|
|
for i, starter_id in enumerate(data.starters):
|
|
original_starter = data.species[starter_id]
|
|
type_blacklist = {
|
|
species.species_id
|
|
for species in world.modified_species.values()
|
|
if not bool(set(species.types) & set(original_starter.types))
|
|
} if should_match_type else set()
|
|
|
|
merged_blacklist = set(s.species_id for s in new_starters) | world.blacklisted_starters | type_blacklist
|
|
if len(merged_blacklist) == NUM_REAL_SPECIES:
|
|
merged_blacklist = set(s.species_id for s in new_starters) | world.blacklisted_starters
|
|
if len(merged_blacklist) == NUM_REAL_SPECIES:
|
|
merged_blacklist = set(s.species_id for s in new_starters)
|
|
|
|
candidates = [
|
|
species
|
|
for species in world.modified_species.values()
|
|
if species.species_id not in merged_blacklist
|
|
]
|
|
|
|
if should_match_bst:
|
|
candidates = filter_species_by_nearby_bst(candidates, sum(original_starter.base_stats))
|
|
|
|
new_starters.append(world.random.choice(candidates))
|
|
|
|
world.modified_starters = (
|
|
new_starters[0].species_id,
|
|
new_starters[1].species_id,
|
|
new_starters[2].species_id
|
|
)
|
|
|
|
# Putting the unchosen starter onto the rival's team
|
|
# (trainer name, index of starter in team, whether the starter is evolved)
|
|
rival_teams: List[List[Tuple[str, int, bool]]] = [
|
|
[
|
|
("TRAINER_BRENDAN_ROUTE_103_TREECKO", 0, False),
|
|
("TRAINER_BRENDAN_RUSTBORO_TREECKO", 1, False),
|
|
("TRAINER_BRENDAN_ROUTE_110_TREECKO", 2, True ),
|
|
("TRAINER_BRENDAN_ROUTE_119_TREECKO", 2, True ),
|
|
("TRAINER_BRENDAN_LILYCOVE_TREECKO", 3, True ),
|
|
("TRAINER_MAY_ROUTE_103_TREECKO", 0, False),
|
|
("TRAINER_MAY_RUSTBORO_TREECKO", 1, False),
|
|
("TRAINER_MAY_ROUTE_110_TREECKO", 2, True ),
|
|
("TRAINER_MAY_ROUTE_119_TREECKO", 2, True ),
|
|
("TRAINER_MAY_LILYCOVE_TREECKO", 3, True ),
|
|
],
|
|
[
|
|
("TRAINER_BRENDAN_ROUTE_103_TORCHIC", 0, False),
|
|
("TRAINER_BRENDAN_RUSTBORO_TORCHIC", 1, False),
|
|
("TRAINER_BRENDAN_ROUTE_110_TORCHIC", 2, True ),
|
|
("TRAINER_BRENDAN_ROUTE_119_TORCHIC", 2, True ),
|
|
("TRAINER_BRENDAN_LILYCOVE_TORCHIC", 3, True ),
|
|
("TRAINER_MAY_ROUTE_103_TORCHIC", 0, False),
|
|
("TRAINER_MAY_RUSTBORO_TORCHIC", 1, False),
|
|
("TRAINER_MAY_ROUTE_110_TORCHIC", 2, True ),
|
|
("TRAINER_MAY_ROUTE_119_TORCHIC", 2, True ),
|
|
("TRAINER_MAY_LILYCOVE_TORCHIC", 3, True ),
|
|
],
|
|
[
|
|
("TRAINER_BRENDAN_ROUTE_103_MUDKIP", 0, False),
|
|
("TRAINER_BRENDAN_RUSTBORO_MUDKIP", 1, False),
|
|
("TRAINER_BRENDAN_ROUTE_110_MUDKIP", 2, True ),
|
|
("TRAINER_BRENDAN_ROUTE_119_MUDKIP", 2, True ),
|
|
("TRAINER_BRENDAN_LILYCOVE_MUDKIP", 3, True ),
|
|
("TRAINER_MAY_ROUTE_103_MUDKIP", 0, False),
|
|
("TRAINER_MAY_RUSTBORO_MUDKIP", 1, False),
|
|
("TRAINER_MAY_ROUTE_110_MUDKIP", 2, True ),
|
|
("TRAINER_MAY_ROUTE_119_MUDKIP", 2, True ),
|
|
("TRAINER_MAY_LILYCOVE_MUDKIP", 3, True ),
|
|
],
|
|
]
|
|
|
|
for i, starter in enumerate([new_starters[1], new_starters[2], new_starters[0]]):
|
|
potential_evolutions = [evolution.species_id for evolution in starter.evolutions]
|
|
picked_evolution = starter.species_id
|
|
if len(potential_evolutions) > 0:
|
|
picked_evolution = world.random.choice(potential_evolutions)
|
|
|
|
for trainer_name, starter_position, is_evolved in rival_teams[i]:
|
|
new_species_id = picked_evolution if is_evolved else starter.species_id
|
|
trainer_data = world.modified_trainers[data.constants[trainer_name]]
|
|
trainer_data.party.pokemon[starter_position] = \
|
|
trainer_data.party.pokemon[starter_position]._replace(species_id=new_species_id)
|
|
|
|
|
|
def randomize_legendary_encounters(world: "PokemonEmeraldWorld") -> None:
|
|
if world.options.legendary_encounters == RandomizeLegendaryEncounters.option_vanilla:
|
|
return
|
|
elif world.options.legendary_encounters == RandomizeLegendaryEncounters.option_shuffle:
|
|
# Just take the existing species and shuffle them
|
|
shuffled_species = [encounter.species_id for encounter in data.legendary_encounters]
|
|
world.random.shuffle(shuffled_species)
|
|
|
|
for i, encounter in enumerate(data.legendary_encounters):
|
|
world.modified_legendary_encounters.append(encounter._replace(species_id=shuffled_species[i]))
|
|
else:
|
|
should_match_bst = world.options.legendary_encounters in {
|
|
RandomizeLegendaryEncounters.option_match_base_stats,
|
|
RandomizeLegendaryEncounters.option_match_base_stats_and_type
|
|
}
|
|
should_match_type = world.options.legendary_encounters in {
|
|
RandomizeLegendaryEncounters.option_match_type,
|
|
RandomizeLegendaryEncounters.option_match_base_stats_and_type
|
|
}
|
|
|
|
for encounter in data.legendary_encounters:
|
|
original_species = world.modified_species[encounter.species_id]
|
|
|
|
candidates = list(world.modified_species.values())
|
|
if should_match_type:
|
|
candidates = [
|
|
species
|
|
for species in candidates
|
|
if bool(set(species.types) & set(original_species.types))
|
|
]
|
|
if should_match_bst:
|
|
candidates = filter_species_by_nearby_bst(candidates, sum(original_species.base_stats))
|
|
|
|
world.modified_legendary_encounters.append(encounter._replace(
|
|
species_id=world.random.choice(candidates).species_id
|
|
))
|
|
|
|
|
|
def randomize_misc_pokemon(world: "PokemonEmeraldWorld") -> None:
|
|
if world.options.misc_pokemon == RandomizeMiscPokemon.option_vanilla:
|
|
return
|
|
elif world.options.misc_pokemon == RandomizeMiscPokemon.option_shuffle:
|
|
# Just take the existing species and shuffle them
|
|
shuffled_species = [encounter.species_id for encounter in data.misc_pokemon]
|
|
world.random.shuffle(shuffled_species)
|
|
|
|
world.modified_misc_pokemon = []
|
|
for i, encounter in enumerate(data.misc_pokemon):
|
|
world.modified_misc_pokemon.append(encounter._replace(species_id=shuffled_species[i]))
|
|
else:
|
|
should_match_bst = world.options.misc_pokemon in {
|
|
RandomizeMiscPokemon.option_match_base_stats,
|
|
RandomizeMiscPokemon.option_match_base_stats_and_type,
|
|
}
|
|
should_match_type = world.options.misc_pokemon in {
|
|
RandomizeMiscPokemon.option_match_type,
|
|
RandomizeMiscPokemon.option_match_base_stats_and_type,
|
|
}
|
|
|
|
for encounter in data.misc_pokemon:
|
|
original_species = world.modified_species[encounter.species_id]
|
|
|
|
candidates = list(world.modified_species.values())
|
|
if should_match_type:
|
|
candidates = [
|
|
species
|
|
for species in candidates
|
|
if bool(set(species.types) & set(original_species.types))
|
|
]
|
|
if should_match_bst:
|
|
candidates = filter_species_by_nearby_bst(candidates, sum(original_species.base_stats))
|
|
|
|
player_filtered_candidates = [
|
|
species
|
|
for species in candidates
|
|
if species.species_id not in world.blacklisted_wilds
|
|
]
|
|
if len(player_filtered_candidates) > 0:
|
|
candidates = player_filtered_candidates
|
|
|
|
world.modified_misc_pokemon.append(encounter._replace(
|
|
species_id=world.random.choice(candidates).species_id
|
|
))
|
|
|
|
|
|
def randomize_tm_hm_compatibility(world: "PokemonEmeraldWorld") -> None:
|
|
for species in world.modified_species.values():
|
|
# TM and HM compatibility is stored as a 64-bit bitfield
|
|
combatibility_array = int_to_bool_array(species.tm_hm_compatibility)
|
|
|
|
# TMs
|
|
if world.options.tm_tutor_compatibility != TmTutorCompatibility.special_range_names["vanilla"]:
|
|
for i in range(0, 50):
|
|
combatibility_array[i] = world.random.random() < world.options.tm_tutor_compatibility / 100
|
|
|
|
# HMs
|
|
if world.options.hm_compatibility != HmCompatibility.special_range_names["vanilla"]:
|
|
for i in range(50, 58):
|
|
combatibility_array[i] = world.random.random() < world.options.hm_compatibility / 100
|
|
|
|
species.tm_hm_compatibility = bool_array_to_int(combatibility_array)
|