from tdw.proc_gen.arrangements.stove import Stove
A stove with oven doors.
- For now, the stove model is always the same (
gas_stove_composite
). - The stove is placed next to a wall.
- The stove's position is automatically adjusted to set it flush to the wall plus an offset; see
Stove.DEPTH_OFFSET
. - The stove is automatically rotated so that it faces away from the wall.
- The stove's position is automatically adjusted to set it flush to the wall plus an offset; see
- The stove always has a rectangular arrangement of objects on top of it; see
Stove.ON_TOP_OF["stove"]
- The objects are chosen randomly; see
Stove.ON_TOP_OF["stove"]
. - The objects are positioned in a rectangular grid on the stove with random rotations and positional perturbations; see:
Stove.CELL_SIZE
,Stove.CELL_DENSITY
,Stove.WIDTH_SCALE
, andStove.DEPTH_SCALE
.
- The objects are chosen randomly; see
- The stove has two doors that can open and two interior spaces.
- Sometimes, each of the interior spaces may have one object; see
Stove.PROBABILITY_INSIDE
andStove.ENCLOSED_BY["stove"]
.- The positions of the object(s) are perturbed randomly, see
Stove.INSIDE_POSITION_PERTURBATION
. - The rotation of the object(s) is random (0 to 360 degrees).
- The positions of the object(s) are perturbed randomly, see
- The root object of the stove is non-kinematic and its door sub-objects are kinematic.
-
send_commands
If True, send commands whenself.get_commands()
is called. If False,self.get_commands()
will return an empty list. -
root_object_id
The ID of the root object. -
object_ids
A list of all of the object IDs in this arrangement. -
root_object_id
The ID of the root object. -
object_ids
A list of all of the object IDs in this arrangement. -
object_ids
A list of all of the object IDs in this arrangement.
Variable | Type | Description | Value |
---|---|---|---|
CELL_DENSITY |
float | The probability from 0 to 1 of a "cell" in the stove top rectangular arrangement being empty. Lower value = a higher density of small objects. | 0.4 |
CELL_SIZE |
float | The size of each cell in the stove top rectangular arrangement. This controls the minimum size of objects and the density of the arrangement. | 0.05 |
DEFAULT_CELL_SIZE |
float | The default span used for arranging objects next to each other. | 0.6096 |
DEPTH_OFFSET |
float | Offset the stove from the wall by this distance. | 0.16595 |
ENCLOSED_BY |
Dict[str, List[str]] | A dictionary of categories that can be enclosed by other categories. Key = A category. Value = A list of categories of models that can enclosed by the key category. | loads(Path(resource_filename(__name__, "data/enclosed_by.json")).read_text()) |
INSIDE_OF |
Dict[str, List[str]] | A dictionary of categories that can be inside of other categories. Key = A category. Value = A list of categories of models that can inside of the key category. | loads(Path(resource_filename(__name__, "data/inside_of.json")).read_text()) |
INSIDE_POSITION_PERTURBATION |
float | The (x, z) positional coordinates of objects inside the stove will be randomly perturbed by up to +/- this value. | 0.04 |
MODEL_CATEGORIES |
Dict[str, List[str]] | A dictionary of all of the models that may be used for procedural generation. Key = The category. Value = A list of model names. Note that this category overlaps with, but is not the same as, model_record.wcategory ; see: Arrangement.get_categories_and_wcategories() . |
loads(Path(resource_filename(__name__, "data/models.json")).read_text()) |
ON_TOP_OF |
Dict[str, List[str]] | A dictionary of categories that can be on top of other categories. Key = A category. Value = A list of categories of models that can be on top of the key category. | loads(Path(resource_filename(__name__, "data/on_top_of.json")).read_text()) |
PROBABILITY_INSIDE |
float | The probability (0 to 1) of adding objects inside each interior space of the stove. | 0.7 |
__init__
Stove(wall, corner, distance, region)
Stove(wall, corner, distance, region, model=None, wall_length=None, rng=None)
Parameter | Type | Default | Description |
---|---|---|---|
wall | CardinalDirection | The wall as a CardinalDirection that the root object is next to. |
|
corner | OrdinalDirection | The origin OrdinalDirection of this wall. This is used to derive the direction. |
|
distance | float | The distance in meters from the corner along the derived direction. | |
region | InteriorRegion | The InteriorRegion that the object is in. |
|
model | Union[str, ModelRecord] | None | Either the name of the model (in which case the model must be in models_core.json ), or a ModelRecord , or None. If None, a model that fits along the wall at distance is randomly selected. If no model fits, the arrangement will not be added to the scene. |
wall_length | float | None | The total length of the lateral arrangement. If None, defaults to the length of the wall. |
rng | Union[int, np.random.RandomState] | None | Either a random seed or an numpy.random.RandomState object. If None, a new random number generator is created. |
Arrangement.get_categories_and_wcategories()
(Static)
Returns: A dictionary of the categories of every model that can be used by Arrangement
and their corresponding wcategory
and wnid
. Key = The model name. Value = A dictionary with the following keys: "category"
(the ProcGenObjects
category), "wcategory"
(the value of record.wcategory
), and "wnid"
(the value of record.wnid
).
self.get_commands()
Returns: A list of commands that will generate the arrangement.
self.get_length()
Returns: The lateral extent of the object.