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# def setup_vectorization(self) -> VectorStateGenerationData:
# grid_base_array = np.zeros(
# (
# int(self.env.kitchen_width),
# int(self.env.kitchen_height),
# 114 + 12 + 4, # TODO calc based on item info
# ),
# dtype=np.float32,
# )
# counter_list = [
# "Counter",
# "CuttingBoard",
# "ServingWindow",
# "Trashcan",
# "Sink",
# "SinkAddon",
# "Stove",
# "DeepFryer",
# "Oven",
# ]
# grid_idxs = [
# (x, y)
# for x in range(int(self.env.kitchen_width))
# for y in range(int(self.env.kitchen_height))
# ]
# # counters do not move
# for counter in self.env.counters:
# grid_idx = np.floor(counter.pos).astype(int)
# counter_name = (
# counter.name
# if isinstance(counter, CookingCounter)
# else (
# repr(counter)
# if isinstance(Counter, Dispenser)
# else counter.__class__.__name__
# )
# )
# assert counter_name in counter_list or counter_name.endswith(
# "Dispenser"
# ), f"Unknown Counter {counter}"
# oh_idx = len(counter_list)
# if counter_name in counter_list:
# oh_idx = counter_list.index(counter_name)
#
# one_hot = [0] * (len(counter_list) + 2)
# one_hot[oh_idx] = 1
# grid_base_array[
# grid_idx[0], grid_idx[1], 4 : 4 + (len(counter_list) + 2)
# ] = np.array(one_hot, dtype=np.float32)
#
# grid_idxs.remove((int(grid_idx[0]), int(grid_idx[1])))
#
# for free_idx in grid_idxs:
# one_hot = [0] * (len(counter_list) + 2)
# one_hot[len(counter_list) + 1] = 1
# grid_base_array[
# free_idx[0], free_idx[1], 4 : 4 + (len(counter_list) + 2)
# ] = np.array(one_hot, dtype=np.float32)
#
# player_info_base_array = np.zeros(
# (
# 4,
# 4 + 114,
# ),
# dtype=np.float32,
# )
# order_base_array = np.zeros((10 * (8 + 1)), dtype=np.float32)
#
# return VectorStateGenerationData(
# grid_base_array=grid_base_array,
# oh_len=12,
# )
#
#
# def get_simple_vectorized_item(self, item: Item) -> npt.NDArray[float]:
# name = item.name
# array = np.zeros(21, dtype=np.float32)
# if item.name.startswith("Burnt"):
# name = name[len("Burnt") :]
# array[0] = 1.0
# if name.startswith("Chopped"):
# array[1] = 1.0
# name = name[len("Chopped") :]
# if name in [
# "PizzaBase",
# "GratedCheese",
# "RawChips",
# "RawPatty",
# ]:
# array[1] = 1.0
# name = {
# "PizzaBase": "Dough",
# "GratedCheese": "Cheese",
# "RawChips": "Potato",
# "RawPatty": "Meat",
# }[name]
# if name == "CookedPatty":
# array[2] = 1.0
# name = "Meat"
#
# if name in self.vector_state_generation.meals:
# idx = 3 + self.vector_state_generation.meals.index(name)
# elif name in self.vector_state_generation.ingredients:
# idx = (
# 3
# + len(self.vector_state_generation.meals)
# + self.vector_state_generation.ingredients.index(name)
# )
# else:
# raise ValueError(f"Unknown item {name} - {item}")
# array[idx] = 1.0
# return array
#
#
# def get_vectorized_item(self, item: Item) -> npt.NDArray[float]:
# item_array = np.zeros(114, dtype=np.float32)
#
# if isinstance(item, CookingEquipment) or item.item_info.type == ItemType.Tool:
# assert (
# item.name in self.vector_state_generation.equipments
# ), f"unknown equipment {item}"
# idx = self.vector_state_generation.equipments.index(item.name)
# item_array[idx] = 1.0
# if isinstance(item, CookingEquipment):
# for s_idx, sub_item in enumerate(item.content_list):
# if s_idx > 3:
# print("Too much content in the content list, info dropped")
# break
# start_idx = len(self.vector_state_generation.equipments) + 21 + 2
# item_array[
# start_idx + (s_idx * (21)) : start_idx + ((s_idx + 1) * (21))
# ] = self.get_simple_vectorized_item(sub_item)
#
# else:
# item_array[
# len(self.vector_state_generation.equipments) : len(
# self.vector_state_generation.equipments
# )
# + 21
# ] = self.get_simple_vectorized_item(item)
#
# item_array[
# len(self.vector_state_generation.equipments) + 21 + 1
# ] = item.progress_percentage
#
# if item.active_effects:
# item_array[
# len(self.vector_state_generation.equipments) + 21 + 2
# ] = 1.0 # TODO percentage of fire...
#
# return item_array
#
#
# def get_vectorized_state_full(
# self, player_id: str
# ) -> Tuple[
# npt.NDArray[npt.NDArray[float]],
# npt.NDArray[npt.NDArray[float]],
# float,
# npt.NDArray[float],
# ]:
# grid_array = self.vector_state_generation.grid_base_array.copy()
# for counter in self.env.counters:
# grid_idx = np.floor(counter.pos).astype(int) # store in counter?
# if counter.occupied_by:
# if isinstance(counter.occupied_by, deque):
# ...
# else:
# item = counter.occupied_by
# grid_array[
# grid_idx[0],
# grid_idx[1],
# 4 + self.vector_state_generation.oh_len :,
# ] = self.get_vectorized_item(item)
# if counter.active_effects:
# grid_array[
# grid_idx[0],
# grid_idx[1],
# 4 + self.vector_state_generation.oh_len - 1,
# ] = 1.0 # TODO percentage of fire...
#
# assert len(self.env.players) <= 4, "To many players for vector representation"
# player_vec = np.zeros(
# (
# 4,
# 4 + 114,
# ),
# dtype=np.float32,
# )
# player_pos = 1
# for player in self.env.players.values():
# if player.name == player_id:
# idx = 0
# player_vec[0, :4] = np.array(
# [
# player.pos[0],
# player.pos[1],
# player.facing_point[0],
# player.facing_point[1],
# ],
# dtype=np.float32,
# )
# else:
# idx = player_pos
#
# if not idx:
# player_pos += 1
# grid_idx = np.floor(player.pos).astype(int) # store in counter?
# player_vec[idx, :4] = np.array(
# [
# player.pos[0] - grid_idx[0],
# player.pos[1] - grid_idx[1],
# player.facing_point[0] / np.linalg.norm(player.facing_point),
# player.facing_point[1] / np.linalg.norm(player.facing_point),
# ],
# dtype=np.float32,
# )
# grid_array[grid_idx[0], grid_idx[1], idx] = 1.0
#
# if player.holding:
# player_vec[idx, 4:] = self.get_vectorized_item(player.holding)
#
# order_array = np.zeros((10 * (8 + 1)), dtype=np.float32)
#
# for i, order in enumerate(self.env.order_manager.open_orders):
# if i > 9:
# print("some orders are not represented in the vectorized state")
# break
# assert (
# order.meal.name in self.vector_state_generation.meals
# ), "unknown meal in order"
# idx = self.vector_state_generation.meals.index(order.meal.name)
# order_array[(i * 9) + idx] = 1.0
# order_array[(i * 9) + 8] = (
# self.env_time - order.start_time
# ).total_seconds() / order.max_duration.total_seconds()
#
# return (
# grid_array,
# player_vec,
# (self.env.env_time - self.env.start_time).total_seconds()
# / (self.env.env_time_end - self.env.start_time).total_seconds(),
# order_array,
# )