def _update(self, improvement_char, dimension=None, value=None):
'''calculate the next value from the model and update state as
necessary'''
# check for invalid input
if value is not None and dimension is None:
err = 'cannot call _update with specified value but no dimension'
raise ValueError(err)
if dimension is None:
dimension = base.random_index(self._current.xs)
if value is None:
# get random value if no value input
value = self.model.xs[dimension]()
updated = False
while not updated:
new_xs = tuple_replace(self._current.xs, dimension, value)
try:
self._current = self.model(new_xs, io=True)
updated = True
except ModelInputException:
value = self.model.xs[dimension]()
self._evals += 1
self._current_era += self._current.energy
# compare to previous best and update as necessary
if self._current.energy < self._best.energy:
self._best = self._current
self._report += improvement_char
else:
self._report += '.'
# end-of-era bookkeeping
if self._evals % self.spec.era_length == 0:
self._end_era()
def _update(self, improvement_char, dimension=None, value=None):
'''calculate the next value from the model and update state as
necessary'''
# check for invalid input
if value is not None and dimension is None:
err = 'cannot call _update with specified value but no dimension'
raise ValueError(err)
if dimension is None:
dimension = base.random_index(self._current.xs)
if value is None:
# get random value if no value input
value = self.model.xs[dimension]()
updated = False
while not updated:
new_xs = tuple_replace(self._current.xs, dimension, value)
try:
self._current = self.model(new_xs, io=True)
updated = True
except ModelInputException:
value = self.model.xs[dimension]()
self._evals += 1
self._current_era += self._current.energy
# compare to previous best and update as necessary
if self._current.energy < self._best.energy:
self._best = self._current
self._report += improvement_char
else:
self._report += '.'
# end-of-era bookkeeping
if self._evals % self.spec.era_length == 0:
self._end_era()
def _mutate(self, child):
i = base.random_index(child)
return base.tuple_replace(child, i, self.model.xs[i]())
