def _truncate_frac_to_upper_alleles(self, genotype):
for frac_to_upper_idx in range(1, len(genotype), 2):
frac_to_upper_allele = genotype[frac_to_upper_idx]
frac_to_upper_allele = \
truncate_val(frac_to_upper_allele,
lower_bound=self._MIN_FRAC_TO_UPPER_VAL,
upper_bound=self._MAX_FRAC_TO_UPPER_VAL)
genotype[frac_to_upper_idx] = frac_to_upper_allele
def _truncate_lower_alleles(self, genotype):
for lower_allele_idx in range(0, len(genotype), 2):
situation_space_idx = int(lower_allele_idx / 2)
dimension = self._situation_space[situation_space_idx]
lower_allele = genotype[lower_allele_idx]
lower_allele = truncate_val(lower_allele,
lower_bound=dimension.lower,
upper_bound=dimension.upper)
genotype[lower_allele_idx] = lower_allele
def _enforce_genotype_maps_to_valid_phenotype(self, genotype):
assert len(genotype) == len(self._ling_vars)
for (allele_idx, ling_var) in zip(range(0, len(genotype)),
self._ling_vars):
allele = genotype[allele_idx]
min_val = 0
max_val = (len(ling_var.membership_funcs) - 1)
allele = truncate_val(allele,
lower_bound=min_val,
upper_bound=max_val)
genotype[allele_idx] = allele
def gen_covering_condition(self, situation):
alleles = []
for (idx, situation_elem) in enumerate(situation):
lower = situation_elem - get_rng().uniform(
0, get_hyperparam("s_nought"))
upper = situation_elem + get_rng().uniform(
0, get_hyperparam("s_nought"))
dimension = self._situation_space[idx]
lower = truncate_val(lower,
lower_bound=dimension.lower,
upper_bound=dimension.upper)
upper = truncate_val(upper,
lower_bound=dimension.lower,
upper_bound=dimension.upper)
assert lower <= upper
frac_to_upper = self._calc_frac_to_upper(lower, upper,
dimension.upper)
alleles.append(lower)
alleles.append(frac_to_upper)
genotype = Genotype(alleles)
return Condition(genotype)
def gen_covering_condition(self, situation):
alleles = []
for (idx, situation_elem) in enumerate(situation):
# covering draws from (0, r_nought)
r_nought = get_hyperparam("r_nought")
assert r_nought > 1
cover_choices = range(1, r_nought)
lower = situation_elem - get_rng().choice(cover_choices)
upper = situation_elem + get_rng().choice(cover_choices)
dimension = self._situation_space[idx]
lower = truncate_val(lower,
lower_bound=dimension.lower,
upper_bound=dimension.upper)
upper = truncate_val(upper,
lower_bound=dimension.lower,
upper_bound=dimension.upper)
assert lower <= upper
span_to_upper = self._calc_span_to_upper(lower, upper, dimension)
alleles.append(lower)
alleles.append(span_to_upper)
genotype = Genotype(alleles)
return Condition(genotype)
def _truncate_span_to_upper_alleles(self, genotype):
for lower_allele_idx in range(0, len(genotype), 2):
span_to_upper_allele_idx = lower_allele_idx + 1
situation_space_idx = int(lower_allele_idx / 2)
dimension = self._situation_space[situation_space_idx]
lower_allele = genotype[lower_allele_idx]
span_to_upper_allele = genotype[span_to_upper_allele_idx]
max_span_to_upper_val = dimension.upper - lower_allele
span_to_upper_allele = \
truncate_val(span_to_upper_allele,
lower_bound=self._MIN_SPAN_TO_UPPER_VAL,
upper_bound=max_span_to_upper_val)
genotype[span_to_upper_allele_idx] = span_to_upper_allele