mirror of
https://git.mirrors.martin98.com/https://github.com/Ultimaker/Cura
synced 2025-05-02 16:54:23 +08:00
Update some documentation to the new style
This commit is contained in:
parent
2e9dca71ce
commit
d0901c91f7
@ -16,18 +16,17 @@ from collections import namedtuple
|
||||
import numpy
|
||||
import copy
|
||||
|
||||
|
||||
## Return object for bestSpot
|
||||
LocationSuggestion = namedtuple("LocationSuggestion", ["x", "y", "penalty_points", "priority"])
|
||||
|
||||
|
||||
## The Arrange classed is used together with ShapeArray. Use it to find
|
||||
# good locations for objects that you try to put on a build place.
|
||||
# Different priority schemes can be defined so it alters the behavior while using
|
||||
# the same logic.
|
||||
#
|
||||
# Note: Make sure the scale is the same between ShapeArray objects and the Arrange instance.
|
||||
class Arrange:
|
||||
"""
|
||||
The Arrange classed is used together with ShapeArray. Use it to find good locations for objects that you try to put
|
||||
on a build place. Different priority schemes can be defined so it alters the behavior while using the same logic.
|
||||
|
||||
Note: Make sure the scale is the same between ShapeArray objects and the Arrange instance.
|
||||
"""
|
||||
build_volume = None # type: Optional[BuildVolume]
|
||||
|
||||
def __init__(self, x, y, offset_x, offset_y, scale = 0.5):
|
||||
@ -42,14 +41,21 @@ class Arrange:
|
||||
self._last_priority = 0
|
||||
self._is_empty = True
|
||||
|
||||
## Helper to create an Arranger instance
|
||||
#
|
||||
# Either fill in scene_root and create will find all sliceable nodes by itself,
|
||||
# or use fixed_nodes to provide the nodes yourself.
|
||||
# \param scene_root Root for finding all scene nodes
|
||||
# \param fixed_nodes Scene nodes to be placed
|
||||
@classmethod
|
||||
def create(cls, scene_root = None, fixed_nodes = None, scale = 0.5, x = 350, y = 250, min_offset = 8):
|
||||
"""
|
||||
Helper to create an Arranger instance
|
||||
|
||||
Either fill in scene_root and create will find all sliceable nodes by itself, or use fixed_nodes to provide the
|
||||
nodes yourself.
|
||||
:param scene_root: Root for finding all scene nodes
|
||||
:param fixed_nodes: Scene nodes to be placed
|
||||
:param scale:
|
||||
:param x:
|
||||
:param y:
|
||||
:param min_offset:
|
||||
:return:
|
||||
"""
|
||||
arranger = Arrange(x, y, x // 2, y // 2, scale = scale)
|
||||
arranger.centerFirst()
|
||||
|
||||
@ -88,12 +94,15 @@ class Arrange:
|
||||
def resetLastPriority(self):
|
||||
self._last_priority = 0
|
||||
|
||||
## Find placement for a node (using offset shape) and place it (using hull shape)
|
||||
# return the nodes that should be placed
|
||||
# \param node
|
||||
# \param offset_shape_arr ShapeArray with offset, for placing the shape
|
||||
# \param hull_shape_arr ShapeArray without offset, used to find location
|
||||
def findNodePlacement(self, node: SceneNode, offset_shape_arr: ShapeArray, hull_shape_arr: ShapeArray, step = 1):
|
||||
"""
|
||||
Find placement for a node (using offset shape) and place it (using hull shape)
|
||||
:param node:
|
||||
:param offset_shape_arr: hapeArray with offset, for placing the shape
|
||||
:param hull_shape_arr: ShapeArray without offset, used to find location
|
||||
:param step:
|
||||
:return: the nodes that should be placed
|
||||
"""
|
||||
best_spot = self.bestSpot(
|
||||
hull_shape_arr, start_prio = self._last_priority, step = step)
|
||||
x, y = best_spot.x, best_spot.y
|
||||
@ -119,29 +128,35 @@ class Arrange:
|
||||
node.setPosition(Vector(200, center_y, 100))
|
||||
return found_spot
|
||||
|
||||
## Fill priority, center is best. Lower value is better
|
||||
# This is a strategy for the arranger.
|
||||
def centerFirst(self):
|
||||
"""
|
||||
Fill priority, center is best. Lower value is better.
|
||||
:return:
|
||||
"""
|
||||
# Square distance: creates a more round shape
|
||||
self._priority = numpy.fromfunction(
|
||||
lambda j, i: (self._offset_x - i) ** 2 + (self._offset_y - j) ** 2, self._shape, dtype=numpy.int32)
|
||||
self._priority_unique_values = numpy.unique(self._priority)
|
||||
self._priority_unique_values.sort()
|
||||
|
||||
## Fill priority, back is best. Lower value is better
|
||||
# This is a strategy for the arranger.
|
||||
def backFirst(self):
|
||||
"""
|
||||
Fill priority, back is best. Lower value is better
|
||||
:return:
|
||||
"""
|
||||
self._priority = numpy.fromfunction(
|
||||
lambda j, i: 10 * j + abs(self._offset_x - i), self._shape, dtype=numpy.int32)
|
||||
self._priority_unique_values = numpy.unique(self._priority)
|
||||
self._priority_unique_values.sort()
|
||||
|
||||
## Return the amount of "penalty points" for polygon, which is the sum of priority
|
||||
# None if occupied
|
||||
# \param x x-coordinate to check shape
|
||||
# \param y y-coordinate
|
||||
# \param shape_arr the ShapeArray object to place
|
||||
def checkShape(self, x, y, shape_arr):
|
||||
"""
|
||||
Return the amount of "penalty points" for polygon, which is the sum of priority
|
||||
:param x: x-coordinate to check shape
|
||||
:param y:
|
||||
:param shape_arr: the ShapeArray object to place
|
||||
:return: None if occupied
|
||||
"""
|
||||
x = int(self._scale * x)
|
||||
y = int(self._scale * y)
|
||||
offset_x = x + self._offset_x + shape_arr.offset_x
|
||||
@ -165,12 +180,14 @@ class Arrange:
|
||||
offset_x:offset_x + shape_arr.arr.shape[1]]
|
||||
return numpy.sum(prio_slice[numpy.where(shape_arr.arr == 1)])
|
||||
|
||||
## Find "best" spot for ShapeArray
|
||||
# Return namedtuple with properties x, y, penalty_points, priority.
|
||||
# \param shape_arr ShapeArray
|
||||
# \param start_prio Start with this priority value (and skip the ones before)
|
||||
# \param step Slicing value, higher = more skips = faster but less accurate
|
||||
def bestSpot(self, shape_arr, start_prio = 0, step = 1):
|
||||
"""
|
||||
Find "best" spot for ShapeArray
|
||||
:param shape_arr:
|
||||
:param start_prio: Start with this priority value (and skip the ones before)
|
||||
:param step: Slicing value, higher = more skips = faster but less accurate
|
||||
:return: namedtuple with properties x, y, penalty_points, priority.
|
||||
"""
|
||||
start_idx_list = numpy.where(self._priority_unique_values == start_prio)
|
||||
if start_idx_list:
|
||||
try:
|
||||
@ -192,13 +209,16 @@ class Arrange:
|
||||
return LocationSuggestion(x = projected_x, y = projected_y, penalty_points = penalty_points, priority = priority)
|
||||
return LocationSuggestion(x = None, y = None, penalty_points = None, priority = priority) # No suitable location found :-(
|
||||
|
||||
## Place the object.
|
||||
# Marks the locations in self._occupied and self._priority
|
||||
# \param x x-coordinate
|
||||
# \param y y-coordinate
|
||||
# \param shape_arr ShapeArray object
|
||||
# \param update_empty updates the _is_empty, used when adding disallowed areas
|
||||
def place(self, x, y, shape_arr, update_empty = True):
|
||||
"""
|
||||
Place the object.
|
||||
Marks the locations in self._occupied and self._priority
|
||||
:param x:
|
||||
:param y:
|
||||
:param shape_arr:
|
||||
:param update_empty: updates the _is_empty, used when adding disallowed areas
|
||||
:return:
|
||||
"""
|
||||
x = int(self._scale * x)
|
||||
y = int(self._scale * y)
|
||||
offset_x = x + self._offset_x + shape_arr.offset_x
|
||||
|
Loading…
x
Reference in New Issue
Block a user