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# coding: UTF-8
# Copyright 2009, 2010 Thomas Jourdan
#
# 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 3 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 St, Fifth Floor, Boston, MA 02110-1301 USA
import ka_utils
import model_random
import model_locus
import model_allele
import model_constraintpool
from gettext import gettext as _
import math
X_CENTER_CONSTRAINT = 'xcenterconstraint'
Y_CENTER_CONSTRAINT = 'ycenterconstraint'
TURNS_CONSTRAINT = 'turnsconstraint'
STEPS_CONSTRAINT = 'stepsconstraint'
A_CONSTRAINT = 'aconstraint'
B_CONSTRAINT = 'bconstraint'
class LogarithmicSpiralSampler(model_allele.Allele):
"""LogarithmicSpiralSampler: Reverse the layer horizontally or vertically.
inv: self.a >= 0.0
inv: self.b >= 0.0
inv: self.steps >= 1
"""
cdef = [{'bind' : X_CENTER_CONSTRAINT,
'name' : 'Center point x',
'domain': model_constraintpool.FLOAT_RANGE,
'min' : -1.0, 'max': 2.0},
{'bind' : Y_CENTER_CONSTRAINT,
'name' : 'Center point y',
'domain': model_constraintpool.FLOAT_RANGE,
'min' : -1.0, 'max': 2.0},
{'bind' : TURNS_CONSTRAINT,
'name' : 'Revolution of logarithmic spiral',
'domain': model_constraintpool.FLOAT_RANGE,
'min' : -10.0, 'max': 10.0},
{'bind' : STEPS_CONSTRAINT,
'name' : 'Number of samples per revolution.',
'domain': model_constraintpool.INT_RANGE,
'min' : 3, 'max': 36},
{'bind' : A_CONSTRAINT,
'name' : 'Scaling constant for logarithmic spiral',
'domain': model_constraintpool.FLOAT_RANGE,
'min' : 0.0, 'max': 1.0},
{'bind' : B_CONSTRAINT,
'name' : 'Scaling constant for logarithmic spiral',
'domain': model_constraintpool.FLOAT_RANGE,
'min' : 0.0, 'max': 1.0},
]
def __init__(self, trunk):
"""Constructor for a flip merger."""
super(LogarithmicSpiralSampler, self).__init__(trunk)
self.x_center = 0.5
self.y_center = 0.5
self.steps = 1
self.turns = 1.0
self.a = 1.0
self.b = 1.0
def __eq__(self, other):
"""Equality based on fliping horizontally or vertically."""
equal = isinstance(other, LogarithmicSpiralSampler) \
and self.x_center == other.x_center \
and self.y_center == other.y_center \
and self.steps == other.steps \
and self.turns == other.turns \
and self.a == other.a \
and self.b == other.b
return equal
def randomize(self):
"""Randomize"""
cpool = model_constraintpool.ConstraintPool.get_pool()
x_center_constraint = cpool.get(self, X_CENTER_CONSTRAINT)
self.x_center = model_random.uniform_constrained(x_center_constraint)
y_center_constraint = cpool.get(self, Y_CENTER_CONSTRAINT)
self.y_center = model_random.uniform_constrained(y_center_constraint)
steps_constraint = cpool.get(self, STEPS_CONSTRAINT)
self.steps = model_random.randint_constrained(steps_constraint)
turns_constraint = cpool.get(self, TURNS_CONSTRAINT)
self.turns = model_random.uniform_constrained(turns_constraint)
a_constraint = cpool.get(self, A_CONSTRAINT)
self.a = model_random.uniform_constrained(a_constraint)
b_constraint = cpool.get(self, B_CONSTRAINT)
self.b = model_random.uniform_constrained(b_constraint)
def mutate(self):
"""Mutate"""
cpool = model_constraintpool.ConstraintPool.get_pool()
x_center_constraint = cpool.get(self, X_CENTER_CONSTRAINT)
self.x_center = model_random.jitter_constrained(self.x_center,
x_center_constraint)
y_center_constraint = cpool.get(self, Y_CENTER_CONSTRAINT)
self.y_center = model_random.jitter_constrained(self.y_center,
y_center_constraint)
if model_random.is_mutating():
steps_constraint = cpool.get(self, STEPS_CONSTRAINT)
self.steps = model_random.jitter_discret_constrained(self.steps,
steps_constraint)
turns_constraint = cpool.get(self, TURNS_CONSTRAINT)
self.turns = model_random.jitter_constrained(self.turns,
turns_constraint)
a_constraint = cpool.get(self, A_CONSTRAINT)
self.a = model_random.jitter_constrained(self.a, a_constraint)
b_constraint = cpool.get(self, B_CONSTRAINT)
self.b = model_random.jitter_constrained(self.b, b_constraint)
def swap_places(self):
"""Exchange x- and y-center."""
self.x_center, self.y_center = model_random.swap_parameters(self.x_center,
self.y_center)
def crossingover(self, other):
"""
pre: isinstance(other, LogarithmicSpiralSampler)
pre: isinstance(self, LogarithmicSpiralSampler)
# check for distinct references, needs to copy content, not references
post: __return__ is not self
post: __return__ is not other
post: model_locus.unique_check(__return__, self, other) == ''
"""
new_one = LogarithmicSpiralSampler(self.get_trunk())
cross_sequence = model_random.crossing_sequence(6)
new_one.x_center = self.x_center if cross_sequence[0] else other.x_center
new_one.y_center = self.y_center if cross_sequence[1] else other.y_center
new_one.steps = self.steps if cross_sequence[2] else other.steps
new_one.turns = self.turns if cross_sequence[3] else other.turns
new_one.a = self.a if cross_sequence[4] else other.a
new_one.b = self.b if cross_sequence[5] else other.b
return new_one
def get_sample_points(self):
""" Produces a list of sampling points.
"""
sample_points = []
ox, oy = self.x_center, self.y_center
angularStep = (2 * math.pi) / self.steps
turns = self.turns
ccw = 1
if turns < 0:
turns = -turns
ccw = -1
for n in range(int(turns * self.steps)):
phi = n * angularStep
a2, b2 = self.a**2, self.b**2
r = a2 * math.exp(b2 * phi)
x = ox + r * math.cos(ccw * phi)
y = oy + r * math.sin(ccw * phi)
if math.fabs(x) < 1000 and math.fabs(y) < 1000:
sample_points.append( (x, y) )
return sample_points
def get_sample_extent(self):
"""'Size' of one sample as a fraction of 1.
"""
size = 1.0/self.steps
return size, size
def explain(self):
"""
post: len(__return__) == 3
"""
head = _('Logarithmic spiral sampler: center=%(x_center)f,%(y_center)f,\
revolutions=%(rev)f, steps per revolution=%(steps)d, a=%(a)f, b=%(b)f') \
% {'x_center': self.x_center, 'y_center': self.y_center,
'rev': self.turns, 'steps': self.steps, 'a': self.a, 'b': self.b}
return ka_utils.explain_points(head, self.get_sample_points())
def copy(self):
"""A copy constructor.
post: isinstance(__return__, LogarithmicSpiralSampler)
# check for distinct references, needs to copy content, not references
post: __return__ is not self
"""
new_one = LogarithmicSpiralSampler(self.get_trunk())
new_one.x_center = self.x_center
new_one.y_center = self.y_center
new_one.steps = self.steps
new_one.turns = self.turns
new_one.a = self.a
new_one.b = self.b
return new_one
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