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geometry.py
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geometry.py
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# Copyright (c) 2024 TU Delft 3D geoinformation group, Ravi Peters (3DGI), Balazs Dukai (3DGI)
#
# This file is part of CityBuf
#
# CityBuf was created as part of the 3DBAG project by the TU Delft 3D geoinformation group (3d.bk.tudelf.nl) and 3DGI (3dgi.nl)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Author(s):
# Ravi Peters
from CityBuf_.GeometryType import GeometryType
class GeometryEncoder:
def __init__(self):
self.solids = []
self.shells = []
self.surfaces = []
self.strings = [] # Rings or LineStrings
self.indices = []
self.semantic_values = []
def encode(self, bounds):
if type(bounds[0]) == list:
for b in bounds:
d = self.encode(b)
l = len(bounds)
if d == 1:
self.surfaces.append(l)
elif d == 2:
self.shells.append(l)
elif d == 3:
self.solids.append(l)
return d+1
else:
self.indices += bounds
self.strings.append(len(bounds))
return 1 # depth
def encode_semantics(self, semantic_values):
if type(semantic_values[0]) == list:
for sem in semantic_values:
return self.encode_semantics(sem)
else:
self.semantic_values += semantic_values
return
# reverses the operation of the encoder
class GeometryDecoder:
def __init__(self, indices, strings, surfaces, shells, solids):
self.part_lists = {
0: indices,
1: strings,
2: surfaces,
3: shells,
4: solids
}
def reset_starts(self):
self.starts = {
0: 0,
1: 0,
2: 0,
3: 0,
4: 0
}
def set_semantics(self, semantic_indices):
self.semantic_indices = semantic_indices
def decode_(self, d, start=None, n=None):
# initial call
if start == None or n == None:
# we are dealing with a nested boundary list
if d > 0:
parts = []
for gn in self.part_lists[d]:
parts.append(self.decode_(d-1, self.starts[d], gn))
self.starts[d] += gn
return parts
elif d == 0:
# we are dealing with multi points
return self.part_lists[d]
# subsequent recursive calls:
elif d == 0:
return self.part_lists[d][start:start+n]
else:
parts = []
for gn in self.part_lists[d][start:start+n]:
parts.append(self.decode_(d-1, self.starts[d], gn))
self.starts[d] += gn
return parts
def decode(self, geometry_type):
self.reset_starts()
if geometry_type == GeometryType.MultiSolid or \
geometry_type == GeometryType.CompositeSolid:
return self.decode_(4)
elif geometry_type == GeometryType.Solid:
return self.decode_(3)
elif geometry_type == GeometryType.MultiSurface or \
geometry_type == GeometryType.CompositeSurface:
return self.decode_(2)
elif geometry_type == GeometryType.MultiLineString:
return self.decode_(1)
elif geometry_type == GeometryType.MultiPoint:
return self.decode_(0)
def decode_semantics_(self, d, start=None, n=None):
# initial call
if start == None or n == None:
# we are dealing with a nested boundary list
if d > 2:
parts = []
for gn in self.part_lists[d]:
parts.append(self.decode_semantics_(d-1, self.starts[d], gn))
self.starts[d] += gn
return parts
elif d <= 2:
return self.semantic_indices
# subsequent recursive calls:
if d <= 2: # semantics nesting is 2 levels less deep than geometry nesting
return self.semantic_indices[start:start+n]
else:
parts = []
for gn in self.part_lists[d][start:start+n]:
parts.append(self.decode_semantics_(d-1, self.starts[d], gn))
self.starts[d] += gn
return parts
def decode_semantics(self, geometry_type):
self.reset_starts()
if geometry_type == GeometryType.MultiSolid or \
geometry_type == GeometryType.CompositeSolid:
return self.decode_semantics_(4)
elif geometry_type == GeometryType.Solid:
return self.decode_semantics_(3)
elif geometry_type == GeometryType.MultiSurface or \
geometry_type == GeometryType.CompositeSurface or \
geometry_type == GeometryType.MultiLineString or \
geometry_type == GeometryType.MultiPoint:
return self.semantic_indices