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from UM.Math.Color import Color
import numpy
class LayerPolygon:
NoneType = 0
Inset0Type = 1
InsetXType = 2
SkinType = 3
SupportType = 4
SkirtType = 5
InfillType = 6
SupportInfillType = 7
MoveCombingType = 8
MoveRetractionType = 9
SupportInterfaceType = 10
__jump_map = numpy.logical_or(numpy.logical_or(numpy.arange(11) == NoneType, numpy.arange(11) == MoveCombingType), numpy.arange(11) == MoveRetractionType)
def __init__(self, mesh, extruder, line_types, data, line_widths):
self._mesh = mesh
self._extruder = extruder
self._types = line_types
self._data = data
self._line_widths = line_widths
self._vertex_begin = 0
self._vertex_end = 0
self._index_begin = 0
self._index_end = 0
self._jump_mask = self.__jump_map[self._types]
self._jump_count = numpy.sum(self._jump_mask)
self._mesh_line_count = len(self._types)-self._jump_count
self._vertex_count = self._mesh_line_count + numpy.sum( self._types[1:] == self._types[:-1])
# Buffering the colors shouldn't be necessary as it is not
# re-used and can save alot of memory usage.
self._color_map = self.__color_map * [1, 1, 1, self._extruder] # The alpha component is used to store the extruder nr
self._colors = self._color_map[self._types]
# 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.
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_needed_points = None
def buildCache(self):
# For the line mesh we do not draw Infill or Jumps. Therefore those lines are filtered out.
self._build_cache_line_mesh_mask = numpy.logical_not(numpy.logical_or(self._jump_mask, self._types == LayerPolygon.InfillType ))
mesh_line_count = numpy.sum(self._build_cache_line_mesh_mask)
self._index_begin = 0
self._index_end = mesh_line_count
self._build_cache_needed_points = numpy.ones((len(self._types), 2), dtype=numpy.bool)
# Only if the type of line segment changes do we need to add an extra vertex to change colors
self._build_cache_needed_points[1:, 0][:, numpy.newaxis] = self._types[1:] != self._types[:-1]
# Mark points as unneeded if they are of types we don't want in the line mesh according to the calculated mask
numpy.logical_and(self._build_cache_needed_points, self._build_cache_line_mesh_mask, self._build_cache_needed_points )
self._vertex_begin = 0
self._vertex_end = numpy.sum( self._build_cache_needed_points )
def build(self, vertex_offset, index_offset, vertices, colors, indices):
if (self._build_cache_line_mesh_mask is None) or (self._build_cache_needed_points is None ):
self.buildCache()
line_mesh_mask = self._build_cache_line_mesh_mask
needed_points_list = self._build_cache_needed_points
# Index to the points we need to represent the line mesh. This is constructed by generating simple
# start and end points for each line. For line segment n these are points n and n+1. Row n reads [n n+1]
# Then then the indices for the points we don't need are thrown away based on the pre-calculated list.
index_list = ( numpy.arange(len(self._types)).reshape((-1, 1)) + numpy.array([[0, 1]]) ).reshape((-1, 1))[needed_points_list.reshape((-1, 1))]
# The relative values of begin and end indices have already been set in buildCache, so we only need to offset them to the parents offset.
self._vertex_begin += vertex_offset
self._vertex_end += vertex_offset
# Points are picked based on the index list to get the vertices needed.
vertices[self._vertex_begin:self._vertex_end, :] = self._data[index_list, :]
# Create an array with colors for each vertex and remove the color data for the points that has been thrown away.
colors[self._vertex_begin:self._vertex_end, :] = numpy.tile(self._colors, (1, 2)).reshape((-1, 4))[needed_points_list.ravel()]
colors[self._vertex_begin:self._vertex_end, :] *= numpy.array([[0.5, 0.5, 0.5, 1.0]], numpy.float32)
# The relative values of begin and end indices have already been set in buildCache, so we only need to offset them to the parents offset.
self._index_begin += index_offset
self._index_end += index_offset
indices[self._index_begin:self._index_end, :] = numpy.arange(self._index_end-self._index_begin, dtype=numpy.int32).reshape((-1, 1))
# When the line type changes the index needs to be increased by 2.
indices[self._index_begin:self._index_end, :] += numpy.cumsum(needed_points_list[line_mesh_mask.ravel(), 0], dtype=numpy.int32).reshape((-1, 1))
# Each line segment goes from it's starting point p to p+1, offset by the vertex index.
# The -1 is to compensate for the neccecarily True value of needed_points_list[0,0] which causes an unwanted +1 in cumsum above.
indices[self._index_begin:self._index_end, :] += numpy.array([self._vertex_begin - 1, self._vertex_begin])
self._build_cache_line_mesh_mask = None
self._build_cache_needed_points = None
def getColors(self):
return self._colors
def mapLineTypeToColor(self, line_types):
return self._color_map[line_types]
def isInfillOrSkinType(self, line_types):
return self._isInfillOrSkinTypeMap[line_types]
def lineMeshVertexCount(self):
return (self._vertex_end - self._vertex_begin)
def lineMeshElementCount(self):
return (self._index_end - self._index_begin)
@property
def extruder(self):
return self._extruder
@property
def types(self):
return self._types
@property
def data(self):
return self._data
@property
def elementCount(self):
return (self._index_end - self._index_begin) * 2 # The range of vertices multiplied by 2 since each vertex is used twice
@property
def lineWidths(self):
return self._line_widths
@property
def jumpMask(self):
return self._jump_mask
@property
def meshLineCount(self):
return self._mesh_line_count
@property
def jumpCount(self):
return self._jump_count
# Calculate normals for the entire polygon using numpy.
def getNormals(self):
normals = numpy.copy(self._data)
normals[:, 1] = 0.0 # We are only interested in 2D normals
# Calculate the edges between points.
# The call to numpy.roll shifts the entire array by one so that
# we end up subtracting each next point from the current, wrapping
# around. This gives us the edges from the next point to the current
# point.
normals = numpy.diff(normals, 1, 0)
# Calculate the length of each edge using standard Pythagoras
lengths = numpy.sqrt(normals[:, 0] ** 2 + normals[:, 2] ** 2)
# The normal of a 2D vector is equal to its x and y coordinates swapped
# and then x inverted. This code does that.
normals[:, [0, 2]] = normals[:, [2, 0]]
normals[:, 0] *= -1
# Normalize the normals.
normals[:, 0] /= lengths
normals[:, 2] /= lengths
return normals
# Should be generated in better way, not hardcoded.
__color_map = numpy.array([
[1.0, 1.0, 1.0, 1.0], # NoneType
[1.0, 0.0, 0.0, 1.0], # Inset0Type
[0.0, 1.0, 0.0, 1.0], # InsetXType
[1.0, 1.0, 0.0, 1.0], # SkinType
[0.0, 1.0, 1.0, 1.0], # SupportType
[0.0, 1.0, 1.0, 1.0], # SkirtType
[1.0, 0.75, 0.0, 1.0], # InfillType
[0.0, 1.0, 1.0, 1.0], # SupportInfillType
[0.0, 0.0, 1.0, 1.0], # MoveCombingType
[0.5, 0.5, 1.0, 1.0], # MoveRetractionType
[0.25, 0.75, 1.0, 1.0] # SupportInterfaceType
])
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