def encode(
self,
chunk: "Chunk",
palette: AnyNDArray,
max_world_version: Tuple[str, Union[int, Tuple[int, int, int]]],
box: SelectionBox = None,
) -> SchematicChunk:
entities = []
for e in chunk.entities:
if e.location in box:
entities.append(
self._encode_entity(e, self._entity_id_type,
self._entity_coord_type).value)
block_entities = []
for e in chunk.block_entities:
if e.location in box:
block_entities.append(
self._encode_block_entity(
e, self._block_entity_id_type,
self._block_entity_coord_type).value)
slices = box.create_moved_box((chunk.cx * 16, 0, chunk.cz * 16),
subtract=True).slice
blocks_merged = palette[chunk.blocks[slices]]
return SchematicChunk(
box,
blocks_merged[:, :, :, 0].astype(numpy.uint16),
blocks_merged[:, :, :, 1].astype(numpy.uint8),
block_entities,
entities,
)
def encode(
self,
chunk: "Chunk",
palette: AnyNDArray,
max_world_version: VersionIdentifierType,
box: SelectionBox,
) -> MCStructureChunk:
"""
Take a version-specific chunk and encode it to raw data for the format to store.
:param chunk: The already translated version-specfic chunk to encode.
:param palette: The block_palette the ids in the chunk correspond to.
:type palette: numpy.ndarray[Block]
:param max_world_version: The key to use to find the encoder.
:param box: The volume of the chunk to pack.
:return: Raw data to be stored by the Format.
"""
entities = []
for e in chunk.entities:
if e.location in box:
entities.append(
self._encode_entity(e, self._entity_id_type,
self._entity_coord_type).value)
block_entities = []
for e in chunk.block_entities:
if e.location in box:
block_entities.append(
self._encode_block_entity(
e, self._block_entity_id_type,
self._block_entity_coord_type).value)
slices = box.create_moved_box((chunk.cx * 16, 0, chunk.cz * 16),
subtract=True).slice
out_palette = numpy.empty(palette.shape, dtype=object)
for index, block_layers in enumerate(palette):
blocks_out = []
for version, block in block_layers:
block = amulet_nbt.TAG_Compound({
"name":
amulet_nbt.TAG_String(
f"{block.namespace}:{block.base_name}"),
"states":
amulet_nbt.TAG_Compound(block.properties),
})
if version:
block["version"] = amulet_nbt.TAG_Int(version)
blocks_out.append(block)
out_palette[index] = blocks_out
return MCStructureChunk(
box,
numpy.asarray(chunk.blocks[slices]),
out_palette,
block_entities,
entities,
)
def encode(
self,
chunk: "Chunk",
palette: AnyNDArray,
max_world_version: Tuple[str, Union[int, Tuple[int, int, int]]],
box: SelectionBox = None,
) -> MCStructureChunk:
entities = []
for e in chunk.entities:
if e.location in box:
entities.append(
self._encode_entity(
e, self._entity_id_type, self._entity_coord_type
).value
)
block_entities = []
for e in chunk.block_entities:
if e.location in box:
block_entities.append(
self._encode_block_entity(
e, self._block_entity_id_type, self._block_entity_coord_type
).value
)
slices = box.create_moved_box(
(chunk.cx * 16, 0, chunk.cz * 16), subtract=True
).slice
out_palette = numpy.empty(palette.shape, dtype=object)
for index, block_layers in enumerate(palette):
blocks_out = []
for version, block in block_layers:
block = amulet_nbt.TAG_Compound(
{
"name": amulet_nbt.TAG_String(
f"{block.namespace}:{block.base_name}"
),
"states": amulet_nbt.TAG_Compound(block.properties),
}
)
if version:
block["version"] = amulet_nbt.TAG_Int(version)
blocks_out.append(block)
out_palette[index] = blocks_out
return MCStructureChunk(
box, chunk.blocks[slices], out_palette, block_entities, entities
)
def encode(
self,
chunk: "Chunk",
palette: AnyNDArray,
max_world_version: VersionIdentifierType,
box: SelectionBox,
) -> SchematicChunk:
"""
Take a version-specific chunk and encode it to raw data for the format to store.
:param chunk: The already translated version-specfic chunk to encode.
:param palette: The block_palette the ids in the chunk correspond to.
:type palette: numpy.ndarray[Block]
:param max_world_version: The key to use to find the encoder.
:param box: The volume of the chunk to pack.
:return: Raw data to be stored by the Format.
"""
entities = []
for e in chunk.entities:
if e.location in box:
entities.append(
self._encode_entity(
e, self._entity_id_type, self._entity_coord_type
).value
)
block_entities = []
for e in chunk.block_entities:
if e.location in box:
block_entities.append(
self._encode_block_entity(
e, self._block_entity_id_type, self._block_entity_coord_type
).value
)
slices = box.create_moved_box(
(chunk.cx * 16, 0, chunk.cz * 16), subtract=True
).slice
blocks_merged = palette[chunk.blocks[slices]]
return SchematicChunk(
box,
blocks_merged[:, :, :, 0].astype(numpy.uint16),
blocks_merged[:, :, :, 1].astype(numpy.uint8),
block_entities,
entities,
)
