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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 _
TILES_CONSTRAINT = 'tilesconstraint'
class SquareGridSampler(model_allele.Allele):
"""SquareGridSampler: Reverse the layer horizontally or vertically.
inv: self.tiles > 0
"""
cdef = [{'bind' : TILES_CONSTRAINT,
'name' : 'Number of rectilinear tiles.',
'domain': model_constraintpool.INT_RANGE,
'min' : 1, 'max': 24},
]
def __init__(self, trunk):
"""Constructor for a flip merger."""
super(SquareGridSampler, self).__init__(trunk)
self.tiles = 1
def __eq__(self, other):
"""Equality based on on number of tiles."""
equal = isinstance(other, SquareGridSampler) \
and self.tiles == other.tiles
return equal
def randomize(self):
"""Randomizes the number of tiles."""
cpool = model_constraintpool.ConstraintPool.get_pool()
tiles_constraint = cpool.get(self, TILES_CONSTRAINT)
self.tiles = model_random.randint_constrained(tiles_constraint)
def mutate(self):
"""Mutates the number of tiles."""
cpool = model_constraintpool.ConstraintPool.get_pool()
if model_random.is_mutating():
tiles_constraint = cpool.get(self, TILES_CONSTRAINT)
self.tiles = model_random.jitter_discret_constrained(self.tiles,
tiles_constraint)
def swap_places(self):
"""Do nothing."""
def crossingover(self, other):
"""
pre: isinstance(other, SquareGridSampler)
pre: isinstance(self, SquareGridSampler)
# 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 = SquareGridSampler(self.get_trunk())
cross_sequence = model_random.crossing_sequence(1)
new_one.tiles = self.tiles if cross_sequence[0] else other.tiles
return new_one
def get_sample_points(self):
"""Produces a list of sampling points.
"""
sample_points = []
delta = 1.0 / self.tiles
for tx in range(self.tiles):
xp = delta*(tx+0.5)
for ty in range(self.tiles):
sample_points.append( (xp-0.5, delta*(ty+0.5)-0.5) )
return sample_points
def get_sample_extent(self):
"""'Size' of one sample as a fraction of 1.
"""
return 1.0/self.tiles, 1.0/self.tiles
def explain(self):
"""
post: len(__return__) == 3
"""
head = _('Squarish grid sampler: %(tiles)d*%(tiles)d') \
% {'tiles': self.tiles}
return ka_utils.explain_points(head, self.get_sample_points())
def copy(self):
"""A copy constructor.
post: isinstance(__return__, SquareGridSampler)
# check for distinct references, needs to copy content, not references
post: __return__ is not self
"""
new_one = SquareGridSampler(self.get_trunk())
new_one.tiles = self.tiles
return new_one
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