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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 #####
from Freestyle import BinaryPredicate1D, GetZF1D, IntegrationType, Nature, SameShapeIdBP1D, ZDiscontinuityF1D
from Functions1D import pyViewMapGradientNormF1D
import random
class pyZBP1D(BinaryPredicate1D):
def __call__(self, i1, i2):
func = GetZF1D()
return (func(i1) > func(i2))
class pyZDiscontinuityBP1D(BinaryPredicate1D):
def __init__(self, iType = IntegrationType.MEAN):
BinaryPredicate1D.__init__(self)
self._GetZDiscontinuity = ZDiscontinuityF1D(iType)
def __call__(self, i1, i2):
return (self._GetZDiscontinuity(i1) > self._GetZDiscontinuity(i2))
class pyLengthBP1D(BinaryPredicate1D):
def __call__(self, i1, i2):
return (i1.length_2d > i2.length_2d)
class pySilhouetteFirstBP1D(BinaryPredicate1D):
def __call__(self, inter1, inter2):
bpred = SameShapeIdBP1D()
if (bpred(inter1, inter2) != 1):
return 0
if (inter1.nature & Nature.SILHOUETTE):
return (inter2.nature & Nature.SILHOUETTE) != 0
return (inter1.nature == inter2.nature)
class pyNatureBP1D(BinaryPredicate1D):
def __call__(self, inter1, inter2):
return (inter1.nature & inter2.nature)
class pyViewMapGradientNormBP1D(BinaryPredicate1D):
def __init__(self,l, sampling=2.0):
BinaryPredicate1D.__init__(self)
self._GetGradient = pyViewMapGradientNormF1D(l, IntegrationType.MEAN)
def __call__(self, i1,i2):
print("compare gradient")
return (self._GetGradient(i1) > self._GetGradient(i2))
class pyShuffleBP1D(BinaryPredicate1D):
def __init__(self):
BinaryPredicate1D.__init__(self)
random.seed(1)
def __call__(self, inter1, inter2):
r1 = random.uniform(0,1)
r2 = random.uniform(0,1)
return (r1<r2)
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