GitHub-Proxy/Cura
1
0
Fork 0
mirror of https://git.mirrors.martin98.com/https://github.com/Ultimaker/Cura synced 2025-08-15 14:15:56 +08:00
Code Issues Packages Projects Releases Wiki Activity

Removed unused function & added more typing

Browse Source
This commit is contained in:
Jaime van Kessel 2019-01-25 13:52:41 +01:00
parent 0fded58988
commit 76cfb19dfb
2 changed files with 13 additions and 16 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
cura/LayerDataBuilder.py
View File

@ -21,13 +21,6 @@ class LayerDataBuilder(MeshBuilder):
if layer not in self._layers: if layer not in self._layers:
self._layers[layer] = Layer(layer) self._layers[layer] = Layer(layer)
def addPolygon(self, layer: int, polygon_type, data, line_width, line_thickness, line_feedrate):
if layer not in self._layers:
self.addLayer(layer)
p = LayerPolygon(self, polygon_type, data, line_width, line_thickness, line_feedrate)
self._layers[layer].polygons.append(p)
def getLayer(self, layer: int) -> Optional[Layer]: def getLayer(self, layer: int) -> Optional[Layer]:
return self._layers.get(layer) return self._layers.get(layer)

22
cura/LayerPolygon.py
View File

@ -2,7 +2,7 @@
# Cura is released under the terms of the LGPLv3 or higher. # Cura is released under the terms of the LGPLv3 or higher.
from UM.Application import Application from UM.Application import Application
from typing import Any from typing import Any, Optional
import numpy import numpy
from UM.Logger import Logger from UM.Logger import Logger
@ -26,13 +26,13 @@ class LayerPolygon:
__jump_map = numpy.logical_or(numpy.logical_or(numpy.arange(__number_of_types) == NoneType, numpy.arange(__number_of_types) == MoveCombingType), numpy.arange(__number_of_types) == MoveRetractionType) __jump_map = numpy.logical_or(numpy.logical_or(numpy.arange(__number_of_types) == NoneType, numpy.arange(__number_of_types) == MoveCombingType), numpy.arange(__number_of_types) == MoveRetractionType)
## LayerPolygon, used in ProcessSlicedLayersJob ## LayerPolygon, used in ProcessSlicedLayersJob
# \param extruder # \param extruder The position of the extruder
# \param line_types array with line_types # \param line_types array with line_types
# \param data new_points # \param data new_points
# \param line_widths array with line widths # \param line_widths array with line widths
# \param line_thicknesses: array with type as index and thickness as value # \param line_thicknesses: array with type as index and thickness as value
# \param line_feedrates array with line feedrates # \param line_feedrates array with line feedrates
def __init__(self, extruder, line_types, data, line_widths, line_thicknesses, line_feedrates): def __init__(self, extruder: int, line_types: numpy.ndarray, data: numpy.ndarray, line_widths: numpy.ndarray, line_thicknesses: numpy.ndarray, line_feedrates: numpy.ndarray) -> None:
self._extruder = extruder self._extruder = extruder
self._types = line_types self._types = line_types
for i in range(len(self._types)): for i in range(len(self._types)):
@ -57,16 +57,16 @@ class LayerPolygon:
# Buffering the colors shouldn't be necessary as it is not # Buffering the colors shouldn't be necessary as it is not
# re-used and can save alot of memory usage. # re-used and can save alot of memory usage.
self._color_map = LayerPolygon.getColorMap() self._color_map = LayerPolygon.getColorMap()
self._colors = self._color_map[self._types] self._colors = self._color_map[self._types] # type: numpy.ndarray
# When type is used as index returns true if type == LayerPolygon.InfillType or type == LayerPolygon.SkinType or type == LayerPolygon.SupportInfillType # When type is used as index returns true if type == LayerPolygon.InfillType or type == LayerPolygon.SkinType or type == LayerPolygon.SupportInfillType
# Should be generated in better way, not hardcoded. # Should be generated in better way, not hardcoded.
self._isInfillOrSkinTypeMap = numpy.array([0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1], dtype=numpy.bool) self._isInfillOrSkinTypeMap = numpy.array([0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1], dtype=numpy.bool)
self._build_cache_line_mesh_mask = None self._build_cache_line_mesh_mask = None # type: Optional[numpy.ndarray]
self._build_cache_needed_points = None self._build_cache_needed_points = None # type: Optional[numpy.ndarray]
def buildCache(self): def buildCache(self) -> None:
# For the line mesh we do not draw Infill or Jumps. Therefore those lines are filtered out. # For the line mesh we do not draw Infill or Jumps. Therefore those lines are filtered out.
self._build_cache_line_mesh_mask = numpy.ones(self._jump_mask.shape, dtype=bool) self._build_cache_line_mesh_mask = numpy.ones(self._jump_mask.shape, dtype=bool)
mesh_line_count = numpy.sum(self._build_cache_line_mesh_mask) mesh_line_count = numpy.sum(self._build_cache_line_mesh_mask)
@ -94,10 +94,14 @@ class LayerPolygon:
# \param extruders : vertex numpy array to be filled # \param extruders : vertex numpy array to be filled
# \param line_types : vertex numpy array to be filled # \param line_types : vertex numpy array to be filled
# \param indices : index numpy array to be filled # \param indices : index numpy array to be filled
def build(self, vertex_offset, index_offset, vertices, colors, line_dimensions, feedrates, extruders, line_types, indices): def build(self, vertex_offset: int, index_offset: int, vertices: numpy.ndarray, colors: numpy.ndarray, line_dimensions: numpy.ndarray, feedrates: numpy.ndarray, extruders: numpy.ndarray, line_types: numpy.ndarray, indices: numpy.ndarray) -> None:
if self._build_cache_line_mesh_mask is None or self._build_cache_needed_points is None: if self._build_cache_line_mesh_mask is None or self._build_cache_needed_points is None:
self.buildCache() self.buildCache()
if self._build_cache_line_mesh_mask is None or self._build_cache_needed_points is None:
Logger.log("w", "Failed to build cache for layer polygon")
return
line_mesh_mask = self._build_cache_line_mesh_mask line_mesh_mask = self._build_cache_line_mesh_mask
needed_points_list = self._build_cache_needed_points needed_points_list = self._build_cache_needed_points