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