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# ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Filename : apriori_and_causal_density.py
# Author : Stephane Grabli
# Date : 04/08/2005
# Purpose : Selects the lines with high a priori density and
# subjects them to the causal density so as to avoid
# cluttering
from freestyle.chainingiterators import ChainPredicateIterator
from freestyle.predicates import (
AndUP1D,
NotUP1D,
QuantitativeInvisibilityUP1D,
TrueBP1D,
pyDensityUP1D,
pyHighViewMapDensityUP1D,
)
from freestyle.shaders import (
ConstantColorShader,
ConstantThicknessShader,
)
from freestyle.types import IntegrationType, Operators
upred = AndUP1D(QuantitativeInvisibilityUP1D(0), pyHighViewMapDensityUP1D(0.3, IntegrationType.LAST))
Operators.select(upred)
bpred = TrueBP1D()
Operators.bidirectional_chain(ChainPredicateIterator(upred, bpred), NotUP1D(QuantitativeInvisibilityUP1D(0)))
shaders_list = [
ConstantThicknessShader(2),
ConstantColorShader(0, 0, 0, 1),
]
Operators.create(pyDensityUP1D(1, 0.1, IntegrationType.MEAN), shaders_list)
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