neuropercolation/src/cellular_automaton/ca_cell_state.py
2019-02-17 08:19:05 +01:00

70 lines
2.6 KiB
Python

from multiprocessing import RawArray, RawValue
from ctypes import c_float, c_bool
class CellState:
_state_save_slot_count = 2
"""
This is the base class for all cell states.
When using the cellular automaton display, inherit this class and implement get_state_draw_color.
"""
def __init__(self, initial_state=(0., ), draw_first_state=True):
self._state_slots = [RawArray(c_float, initial_state) for i in range(self.__class__._state_save_slot_count)]
self._active = [RawValue(c_bool, False) for i in range(self.__class__._state_save_slot_count)]
self._active[0].value = True
if draw_first_state:
self._dirty = RawValue(c_bool, True)
else:
self._dirty = RawValue(c_bool, False)
def is_active(self, iteration):
return self._active[self.__calculate_slot(iteration)]
def set_active_for_next_iteration(self, iteration):
self._active[self.__calculate_slot(iteration + 1)].value = True
def is_set_for_redraw(self):
return self._dirty.value
def was_redrawn(self):
self._dirty.value = False
def get_state_of_last_iteration(self, current_iteration_index):
return self.get_state_of_iteration(current_iteration_index - 1)
def get_state_of_iteration(self, iteration):
""" Will return the state for the iteration modulo number of saved states.
:param iteration: Uses the iteration index, to differ between concurrent states.
:return The state for this iteration.
"""
return self._state_slots[self.__calculate_slot(iteration)]
def set_state_of_iteration(self, new_state, iteration):
""" Will set the new state for the iteration modulo number of saved states.
:param new_state: The new state to set.
:param iteration: Uses the iteration index, to differ between concurrent states.
:return True if state has changed.
"""
current_state = self.get_state_of_iteration(iteration)
changed = False
for i in range(len(current_state)):
try:
if current_state[i] != new_state[i]:
changed = True
current_state[i] = new_state[i]
except IndexError:
raise IndexError("New State length or type is invalid!")
self._dirty.value |= changed
self._active[self.__calculate_slot(iteration)].value = False
return changed
def get_state_draw_color(self, iteration):
raise NotImplementedError
@classmethod
def __calculate_slot(cls, iteration):
return iteration % cls._state_save_slot_count