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refactoring and licensing

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Richard Feistenauer 2019-02-23 16:20:48 +01:00
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174
LICENSE.txt
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@ -0,0 +1,174 @@
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http://www.apache.org/licenses/
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8. Limitation of Liability. In no event and under no legal theory,
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10
cellular_automaton/__init__.py
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@ -1,6 +1,4 @@
from .cell_state import *
from .neighborhood import *
from .rule import *
from .factory import *
from .automaton import *
from .display import *
from .neighborhood import Neighborhood, MooreNeighborhood, VonNeumannNeighborhood, EdgeRule
from .rule import Rule
from .factory import CAFactory
from .display import CAWindow

23
cellular_automaton/_automaton.py
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@ -1,3 +1,19 @@
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import multiprocessing
from multiprocessing import freeze_support
from ctypes import c_int
@ -12,10 +28,10 @@ class CellularAutomatonProcessor:
self.evolve()
def evolve(self):
self._ca.current_evolution_step += 1
i = self._ca.current_evolution_step
r = self._ca.evolution_rule.evolve_cell
list(map(lambda c: c.evolve_if_ready(r, i), tuple(self._ca.cells.values())))
self._ca.current_evolution_step += 1
def get_dimension(self):
return self._ca.dimension
@ -40,7 +56,6 @@ class CellularAutomatonMultiProcessor(CellularAutomatonProcessor):
self.evolve_range = range(len(self._ca.cells))
self._ca.current_evolution_step = multiprocessing.RawValue(c_int, self._ca.current_evolution_step)
self.__init_processes_and_clean_cell_instances(process_count)
def __init_processes_and_clean_cell_instances(self, process_count):
@ -49,12 +64,10 @@ class CellularAutomatonMultiProcessor(CellularAutomatonProcessor):
initargs=(tuple(self._ca.cells.values()),
self._ca.evolution_rule,
self._ca.current_evolution_step))
for cell in self._ca.cells.values():
del cell.neighbor_states
def evolve(self):
self._ca.current_evolution_step += 1
self.pool.map(_process_routine, self.evolve_range)
self._ca.current_evolution_step.value += 1
def get_current_evolution_step(self):
return self._ca.current_evolution_step.value

48
cellular_automaton/_cell.py
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@ -1,21 +1,45 @@
from .cell_state import CellState
from typing import Type
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import cellular_automaton.cellular_automaton._cell_state as cs
class Cell:
def __init__(self, state_class: Type[CellState]):
self.state = state_class()
self.neighbor_states = []
def __init__(self, state_class: cs.CellState, neighbors):
self._state = state_class
self._neighbor_states = neighbors
def is_set_for_redraw(self):
return self._state.is_set_for_redraw()
def was_redrawn(self):
self._state.was_redrawn()
def get_current_state(self, evolution_step):
return self._state.get_state_of_evolution_step(evolution_step)
def evolve_if_ready(self, rule, evolution_step):
if self.state.is_active(evolution_step):
new_state = rule(self.state.get_state_of_last_evolution_step(evolution_step),
[n.get_state_of_last_evolution_step(evolution_step) for n in self.neighbor_states])
if self._state.is_active(evolution_step):
new_state = rule(list(self._state.get_state_of_last_evolution_step(evolution_step)),
[list(n.get_state_of_last_evolution_step(evolution_step)) for n in self._neighbor_states])
self.set_new_state_and_activate(new_state, evolution_step)
def set_new_state_and_activate(self, new_state: CellState, evolution_step):
changed = self.state.set_state_of_evolution_step(new_state, evolution_step)
def set_new_state_and_activate(self, new_state: cs.CellState, evolution_step):
changed = self._state.set_state_of_evolution_step(new_state, evolution_step)
if changed:
self.state.set_active_for_next_evolution_step(evolution_step)
for n in self.neighbor_states:
self._state.set_active_for_next_evolution_step(evolution_step)
for n in self._neighbor_states:
n.set_active_for_next_evolution_step(evolution_step)

16
cellular_automaton/_cell_state.py
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@ -1,3 +1,19 @@
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from multiprocessing import RawArray, RawValue
from ctypes import c_float, c_bool

21
cellular_automaton/_state.py
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@ -1,10 +1,25 @@
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from cellular_automaton.cellular_automaton import Rule
from typing import Type
class CellularAutomatonState:
def __init__(self, cells, dimension, evolution_rule: Type[Rule]):
def __init__(self, cells, dimension, evolution_rule: Rule):
self.cells = cells
self.dimension = dimension
self.evolution_rule = evolution_rule
self.current_evolution_step = -1
self.current_evolution_step = 0

125
cellular_automaton/display.py
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@ -1,76 +1,105 @@
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import pygame
import time
import operator
from . import CellularAutomatonState, CellularAutomatonProcessor
import cellular_automaton.cellular_automaton._automaton as automaton
class _DisplayInfo:
def __init__(self, grid_size, grid_pos, cell_size, screen):
self.grid_size = grid_size
self.grid_pos = grid_pos
self.cell_size = cell_size
self.screen = screen
class DisplayFor2D:
def __init__(self, grid_rect: list, cellular_automaton: CellularAutomatonState, screen):
class _CASurface:
def __init__(self, grid_rect: pygame.Rect, cellular_automaton: automaton.CellularAutomatonProcessor, screen):
self._cellular_automaton = cellular_automaton
cell_size = self._calculate_cell_display_size(grid_rect[-2:])
self._display_info = _DisplayInfo(grid_rect[-2:], grid_rect[:2], cell_size, screen)
self.__rect = grid_rect
self.__cell_size = self._calculate_cell_display_size()
self.__screen = screen
def _calculate_cell_display_size(self):
grid_dimension = self._cellular_automaton.get_dimension()
return [self.__rect.width / grid_dimension[0], self.__rect.height / grid_dimension[1]]
def redraw_cellular_automaton(self):
update_rects = list(self._cell_redraw_rectangles())
update_rects = list(self.__cell_redraw_dirty_rectangles())
pygame.display.update(update_rects)
def _cell_redraw_rectangles(self):
for coordinate, cell in self._cellular_automaton.cells.items():
if cell.state.is_set_for_redraw():
cell_color = cell.state.get_state_draw_color(self._cellular_automaton.current_evolution_step)
cell_pos = self._calculate_cell_position(self._display_info.cell_size, coordinate)
surface_pos = list(map(operator.add, cell_pos, self._display_info.grid_pos))
yield self._display_info.screen.fill(cell_color, (surface_pos, self._display_info.cell_size))
cell.state.was_redrawn()
def __cell_redraw_dirty_rectangles(self):
for coordinate, cell in self._cellular_automaton.get_cells().items():
if cell.is_set_for_redraw():
yield from self.__redraw_cell(cell, coordinate)
def _calculate_cell_display_size(self, grid_size):
grid_dimension = self._cellular_automaton.dimension
return list(map(operator.truediv, grid_size, grid_dimension))
def __redraw_cell(self, cell, coordinate):
cell_color = self.__get_cell_color(cell)
cell_pos = self._calculate_cell_position_in_the_grid(coordinate)
surface_pos = self._calculate_cell_position_on_screen(cell_pos)
yield self._draw_the_cell_to_screen(cell_color, surface_pos)
cell.was_redrawn()
@staticmethod
def _calculate_cell_position(cell_size, coordinate):
return list(map(operator.mul, cell_size, coordinate))
def __get_cell_color(self, cell):
return self._cellular_automaton.get_current_rule().get_state_draw_color(
cell.get_current_state(self._cellular_automaton.get_current_evolution_step()))
def _calculate_cell_position_in_the_grid(self, coordinate):
return list(map(operator.mul, self.__cell_size, coordinate))
def _calculate_cell_position_on_screen(self, cell_pos):
return [self.__rect.left + cell_pos[0], self.__rect.top + cell_pos[1]]
def _draw_the_cell_to_screen(self, cell_color, surface_pos):
return self.__screen.fill(cell_color, (surface_pos, self.__cell_size))
class PyGameFor2D:
def __init__(self, window_size: list, cellular_automaton: CellularAutomatonState):
self._window_size = window_size
self._cellular_automaton = cellular_automaton
class CAWindow:
def __init__(self, cellular_automaton: automaton.CellularAutomatonProcessor,
evolution_steps_per_draw=1,
window_size=(1000, 800)):
self._ca = cellular_automaton
self.__window_size = window_size
self.__init_pygame()
self.__loop_evolution_and_redraw_of_automaton(evolution_steps_per_draw=evolution_steps_per_draw)
def __init_pygame(self):
pygame.init()
pygame.display.set_caption("Cellular Automaton")
self._screen = pygame.display.set_mode(self._window_size)
self._screen = pygame.display.set_mode(self.__window_size)
self._font = pygame.font.SysFont("monospace", 15)
self.ca_display = DisplayFor2D([0, 30, window_size[0], window_size[1] - 30], cellular_automaton, self._screen)
self.ca_display = _CASurface(pygame.Rect(0, 30, self.__window_size[0], self.__window_size[1] - 30),
self._ca,
self._screen)
def _print_process_duration(self, time_ca_end, time_ca_start, time_ds_end):
self._screen.fill([0, 0, 0], ((0, 0), (self._window_size[0], 30)))
self._write_text((10, 5), "CA: " + "{0:.4f}".format(time_ca_end - time_ca_start) + "s")
self._write_text((310, 5), "Display: " + "{0:.4f}".format(time_ds_end - time_ca_end) + "s")
self._write_text((660, 5), "Step: " + str(self._cellular_automaton.current_evolution_step))
def _write_text(self, pos, text, color=(0, 255, 0)):
label = self._font.render(text, 1, color)
update_rect = self._screen.blit(label, pos)
pygame.display.update(update_rect)
def main_loop(self, cellular_automaton_processor: CellularAutomatonProcessor, evolution_steps_per_draw):
def __loop_evolution_and_redraw_of_automaton(self, evolution_steps_per_draw):
running = True
while running:
pygame.event.get()
time_ca_start = time.time()
cellular_automaton_processor.evolve_x_times(evolution_steps_per_draw)
self._ca.evolve_x_times(evolution_steps_per_draw)
time_ca_end = time.time()
self.ca_display.redraw_cellular_automaton()
time_ds_end = time.time()
self._print_process_duration(time_ca_end, time_ca_start, time_ds_end)
self.__print_process_duration(time_ca_end, time_ca_start, time_ds_end)
def __print_process_duration(self, time_ca_end, time_ca_start, time_ds_end):
self._screen.fill([0, 0, 0], ((0, 0), (self.__window_size[0], 30)))
self.__write_text((10, 5), "CA: " + "{0:.4f}".format(time_ca_end - time_ca_start) + "s")
self.__write_text((310, 5), "Display: " + "{0:.4f}".format(time_ds_end - time_ca_end) + "s")
self.__write_text((660, 5), "Step: " + str(self._ca.get_current_evolution_step()))
def __write_text(self, pos, text, color=(0, 255, 0)):
label = self._font.render(text, 1, color)
update_rect = self._screen.blit(label, pos)
pygame.display.update(update_rect)

70
cellular_automaton/factory.py
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@ -1,30 +1,72 @@
from . import Neighborhood, CellState, Rule
from . import Neighborhood, Rule
from ._automaton import CellularAutomatonProcessor, CellularAutomatonMultiProcessor
from ._cell import Cell
from ._state import CellularAutomatonState
from ._cell_state import CellState, SynchronousCellState
from typing import Type
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import itertools
class CAFactory:
@staticmethod
def make_cellular_automaton(dimension,
def make_single_process_cellular_automaton(dimension,
neighborhood: Neighborhood,
state_class: Type[CellState],
rule: Type[Rule]):
cells = CAFactory._make_cells(dimension, state_class)
CAFactory._apply_neighborhood_to_cells(cells, neighborhood, dimension)
ca = CAFactory._make_cellular_automaton_state(dimension, neighborhood, CellState, rule)
return CellularAutomatonProcessor(ca)
@staticmethod
def _make_cellular_automaton_state(dimension, neighborhood, state_class, rule_class):
rule = rule_class(neighborhood)
cell_states = CAFactory._make_cell_states(state_class, rule, dimension)
cells = CAFactory._make_cells(cell_states, neighborhood, dimension)
return CellularAutomatonState(cells, dimension, rule)
@staticmethod
def _make_cells(dimension, state_class):
cells = {}
for c in itertools.product(*[range(d) for d in dimension]):
cells[tuple(c)] = Cell(state_class)
return cells
def make_multi_process_cellular_automaton(dimension,
neighborhood: Neighborhood,
rule: Type[Rule],
processes: int):
if processes < 1:
raise ValueError("At least one process is necessary")
elif processes == 1:
return CAFactory.make_single_process_cellular_automaton(dimension, neighborhood, rule)
else:
ca = CAFactory._make_cellular_automaton_state(dimension, neighborhood, SynchronousCellState, rule)
return CellularAutomatonMultiProcessor(ca, processes)
@staticmethod
def _apply_neighborhood_to_cells(cells, neighborhood, dimension):
for coordinate, cell in cells.items():
n_coordinates = neighborhood.calculate_cell_neighbor_coordinates(coordinate, dimension)
cell.neighbor_states = [cells[tuple(nc)].state for nc in n_coordinates]
def _make_cell_states(state_class, rule, dimension):
cell_states = {}
for c in itertools.product(*[range(d) for d in dimension]):
coordinate = tuple(c)
cell_states[coordinate] = state_class(rule.init_state(coordinate))
return cell_states
@staticmethod
def _make_cells(cell_states, neighborhood, dimension):
cells = {}
for coordinate, cell_state in cell_states.items():
n_coordinates = neighborhood.calculate_cell_neighbor_coordinates(coordinate, dimension)
neighbor_states = [cell_states[tuple(nc)] for nc in n_coordinates]
cells[coordinate] = Cell(cell_state, neighbor_states)
return cells

31
cellular_automaton/neighborhood.py
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@ -1,9 +1,25 @@
from enum import Enum
from operator import add
from itertools import product
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import enum
import operator
import itertools
class EdgeRule(Enum):
class EdgeRule(enum.Enum):
IGNORE_EDGE_CELLS = 0
IGNORE_MISSING_NEIGHBORS_OF_EDGE_CELLS = 1
FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS = 2
@ -29,13 +45,16 @@ class Neighborhood:
self.__grid_dimensions = grid_dimensions
return list(self.__neighbors_generator(cell_coordinate))
def get_neighbor_id_from_rel(self, rel_coordinate):
return self._rel_neighbors.index(rel_coordinate)
def __neighbors_generator(self, cell_coordinate):
if not self.__does_ignore_edge_cell_rule_apply(cell_coordinate):
for rel_n in self._rel_neighbors:
yield from self.__calculate_abs_neighbor_and_decide_validity(cell_coordinate, rel_n)
def __calculate_abs_neighbor_and_decide_validity(self, cell_coordinate, rel_n):
n = list(map(add, rel_n, cell_coordinate))
n = list(map(operator.add, rel_n, cell_coordinate))
n_folded = self.__apply_edge_overflow(n)
if n == n_folded or self.__edge_rule == EdgeRule.FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS:
yield n_folded
@ -70,6 +89,6 @@ class VonNeumannNeighborhood(Neighborhood):
def _rel_neighbor_generator(dimension, range_, rule):
for c in product(range(-range_, range_ + 1), repeat=dimension):
for c in itertools.product(range(-range_, range_ + 1), repeat=dimension):
if rule(c) and c != (0, ) * dimension:
yield tuple(reversed(c))

43
cellular_automaton/rule.py
View File

@ -1,13 +1,32 @@
from abc import abstractmethod
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import abc
import cellular_automaton.cellular_automaton.neighborhood as neighbour
class Rule:
def __init__(self):
pass
def __init__(self, neighborhood_: neighbour.Neighborhood):
self._neighborhood = neighborhood_
@staticmethod
@abstractmethod
def evolve_cell(last_cell_state, neighbors_last_states):
def _get_neighbor_by_relative_coordinate(self, neighbours, rel_coordinate):
return neighbours[self._neighborhood.get_neighbor_id_from_rel(rel_coordinate)]
@abc.abstractmethod
def evolve_cell(self, last_cell_state, neighbors_last_states):
""" Calculates and sets new state of 'cell'.
:param last_cell_state: The cells current state to calculate new state for.
:param neighbors_last_states: The cells neighbors current states.
@ -15,3 +34,15 @@ class Rule:
A cells evolution will only be called if it or at least one of its neighbors has changed last evolution_step cycle.
"""
return last_cell_state
@abc.abstractmethod
def init_state(self, cell_coordinate):
""" Set the initial state for the cell with the given coordinate.
:param cell_coordinate: Cells coordinate.
:return: Iterable that represents the state
"""
return [0]
@abc.abstractmethod
def get_state_draw_color(self, current_state):
return [0, 0, 0]

35
examples/conways_game_of_life.py
View File

@ -4,16 +4,38 @@ import random
from cellular_automaton import *
ALIVE = [1.0]
DEAD = [0]
class TestRule(Rule):
random_seed = random.seed(1000)
random_seed = random.seed(13)
def init_state(self, cell_coordinate):
rand = random.randrange(0, 101, 1)
init = max(.0, float(rand - 99))
rand = random.randrange(0, 16, 1)
init = max(.0, float(rand - 14))
return (init,)
def evolve_cell(self, last_cell_state, neighbors_last_states):
return self._get_neighbor_by_relative_coordinate(neighbors_last_states, (-1, -1))
new_cell_state = last_cell_state
alive_neighbours = self.__count_alive_neighbours(neighbors_last_states)
if last_cell_state == DEAD and alive_neighbours == 3:
new_cell_state = ALIVE
if last_cell_state == ALIVE and alive_neighbours < 2:
new_cell_state = DEAD
if last_cell_state == ALIVE and 1 < alive_neighbours < 4:
new_cell_state = ALIVE
if last_cell_state == ALIVE and alive_neighbours > 3:
new_cell_state = DEAD
return new_cell_state
@staticmethod
def __count_alive_neighbours(neighbours):
an = []
for n in neighbours:
if n == ALIVE:
an.append(1)
return len(an)
def get_state_draw_color(self, current_state):
return [255 if current_state[0] else 0, 0, 0]
@ -21,7 +43,8 @@ class TestRule(Rule):
if __name__ == "__main__":
neighborhood = MooreNeighborhood(EdgeRule.FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS)
ca = CAFactory.make_single_process_cellular_automaton(dimension=[100, 100],
ca = CAFactory.make_multi_process_cellular_automaton(dimension=[100, 100],
neighborhood=neighborhood,
rule=TestRule)
rule=TestRule,
processes=4)
ca_window = CAWindow(cellular_automaton=ca, evolution_steps_per_draw=1)

2
examples/simple_star_fall.py
View File

@ -24,4 +24,4 @@ if __name__ == "__main__":
ca = CAFactory.make_single_process_cellular_automaton(dimension=[100, 100],
neighborhood=neighborhood,
rule=TestRule)
ca_window = PyGameFor2D(cellular_automaton=ca, evolution_steps_per_draw=1)
ca_window = CAWindow(cellular_automaton=ca, evolution_steps_per_draw=1)

72
test/test_automaton.py
View File

@ -0,0 +1,72 @@
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import sys
sys.path.append('../..')
from cellular_automaton import *
import unittest
class TestRule(Rule):
def evolve_cell(self, last_cell_state, neighbors_last_states):
return [last_cell_state[0] + 1]
def init_state(self, cell_coordinate):
return [0]
def get_state_draw_color(self, current_state):
return [0, 0, 0]
class TestCellState(unittest.TestCase):
def setUp(self):
self.neighborhood = MooreNeighborhood(EdgeRule.FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS)
self.processor = CAFactory.make_single_process_cellular_automaton([3, 3],
self.neighborhood,
TestRule)
def test_single_process_evolution_steps(self):
self.processor.evolve_x_times(5)
self.assertEqual(self.processor.get_current_evolution_step(), 5)
def test_multi_process_evolution_steps(self):
self.__create_multi_process_automaton()
self.multi_processor.evolve_x_times(5)
self.assertEqual(self.multi_processor.get_current_evolution_step(), 5)
def __create_multi_process_automaton(self):
self.multi_processor = CAFactory.make_multi_process_cellular_automaton([3, 3],
self.neighborhood,
TestRule,
processes=2)
def test_single_process_evolution_calls(self):
self.processor.evolve_x_times(5)
step = self.processor.get_current_evolution_step()
cell = self.processor.get_cells()[(1, 1)].get_current_state(step)[0]
self.assertEqual(cell, 4)
def test_multi_process_evolution_calls(self):
self.__create_multi_process_automaton()
self.multi_processor.evolve_x_times(5)
step = self.multi_processor.get_current_evolution_step()
cell = self.multi_processor.get_cells()[(1, 1)].get_current_state(step)[0]
self.assertEqual(cell, 4)
if __name__ == '__main__':
unittest.main()

33
test/test_cell.py
View File

@ -1,25 +1,36 @@
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import sys
sys.path.append('../src')
sys.path.append('../..')
from cellular_automaton.cellular_automaton import *
from cellular_automaton.cellular_automaton._cell import Cell
from cellular_automaton.cellular_automaton._cell_state import CellState
import unittest
class TestState(CellState):
def __init__(self):
super().__init__()
class TestCellState(unittest.TestCase):
def setUp(self):
self.cell = Cell(TestState)
self.neighbors = [TestState() for x in range(5)]
self.neighbors = [CellState() for x in range(5)]
for neighbor in self.neighbors:
neighbor.set_state_of_evolution_step((0, ), 0)
self.cell.neighbor_states = self.neighbors
self.cell = Cell(CellState(), self.neighbors)
def cell_and_neighbors_active(self, evolution_step):
self.neighbors.append(self.cell.state)
self.neighbors.append(self.cell._state)
all_active = True
for state in self.neighbors:
if not state.is_active(evolution_step):

26
test/test_cell_state.py
View File

@ -1,13 +1,29 @@
import sys
sys.path.append('../src')
"""
Copyright 2019 Richard Feistenauer
from cellular_automaton import cellular_automaton as cs
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import sys
sys.path.append('../..')
from cellular_automaton.cellular_automaton import _cell_state as cell_state
import unittest
class TestCellState(unittest.TestCase):
def setUp(self):
self.cell_state = cs.SynchronousCellState(initial_state=(0,), draw_first_state=False)
self.cell_state = cell_state.SynchronousCellState(initial_state=(0,), draw_first_state=False)
def test_get_state_with_overflow(self):
self.cell_state.set_state_of_evolution_step(new_state=(1,), evolution_step=0)
@ -47,7 +63,7 @@ class TestCellState(unittest.TestCase):
return self.cell_state.set_state_of_evolution_step(new_state=(1, 1), evolution_step=0)
def test_redraw_flag(self):
self.cell_state = cs.SynchronousCellState(initial_state=(0,), draw_first_state=True)
self.cell_state = cell_state.SynchronousCellState(initial_state=(0,), draw_first_state=True)
self.assertTrue(self.cell_state.is_set_for_redraw())
self.cell_state.was_redrawn()
self.assertFalse(self.cell_state.is_set_for_redraw())

97
test/test_factory.py
View File

@ -1,19 +1,52 @@
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import sys
sys.path.append('../src')
sys.path.append('../..')
from cellular_automaton.cellular_automaton import *
from cellular_automaton.cellular_automaton._cell_state import CellState
from cellular_automaton.cellular_automaton._state import CellularAutomatonState
import unittest
import mock
class TestFac(CAFactory):
@staticmethod
def make_cells(dimension, state_class):
return CAFactory._make_cells(dimension, state_class)
def make_cell_states(state_class, rule_, dimension):
return CAFactory._make_cell_states(state_class, rule_, dimension)
@staticmethod
def apply_neighborhood(cells, neighborhood, dimension):
return CAFactory._apply_neighborhood_to_cells(cells, neighborhood, dimension)
def make_cells(cells, neighborhood_, dimension):
return CAFactory._make_cells(cells, neighborhood_, dimension)
@staticmethod
def make_cellular_automaton_state(dimension, neighborhood_, state_class, rule):
return TestFac._make_cellular_automaton_state(dimension, neighborhood_, state_class, rule)
class TestRule(Rule):
def evolve_cell(self, last_cell_state, neighbors_last_states):
return last_cell_state
def init_state(self, cell_coordinate):
return [1]
def get_state_draw_color(self, current_state):
return [0, 0, 0]
class TestCAFactory(unittest.TestCase):
@ -21,48 +54,52 @@ class TestCAFactory(unittest.TestCase):
self._neighborhood = MooreNeighborhood(EdgeRule.IGNORE_EDGE_CELLS)
def test_make_ca_calls_correct_methods(self):
with mock.patch.object(CAFactory, '_make_cells', return_value={1: True}) as m1:
with mock.patch.object(CAFactory, '_apply_neighborhood_to_cells') as m2:
CAFactory.make_cellular_automaton([10], self._neighborhood, CellState, Rule())
m1.assert_called_once_with([10], CellState)
with mock.patch.object(CAFactory, '_make_cell_states', return_value={1: True}) as m1:
with mock.patch.object(CAFactory, '_make_cells') as m2:
TestFac.make_cellular_automaton_state([10], self._neighborhood, CellState, Rule)
m1.assert_called_once()
m2.assert_called_once_with({1: True}, self._neighborhood, [10])
def test_make_ca_returns_correct_values(self):
with mock.patch.object(CAFactory, '_make_cell_states', return_value={1: True}):
with mock.patch.object(CAFactory, '_make_cells', return_value={1: True}):
with mock.patch.object(CAFactory, '_apply_neighborhood_to_cells'):
ca = CAFactory.make_cellular_automaton([10], self._neighborhood, CellState, Rule())
ca = TestFac.make_cellular_automaton_state([10], self._neighborhood, CellState, Rule)
self.assertIsInstance(ca, CellularAutomatonState)
self.assertEqual(tuple(ca.cells.values()), (True, ))
def test_make_cells(self):
cell_states = self.__create_cell_states()
cells = TestFac.make_cells(cell_states, self._neighborhood, [3, 3])
neighbours_of_mid = self.__cast_cells_to_list_and_remove_center_cell(cell_states)
self.assertEqual(set(cells[(1, 1)]._neighbor_states), set(neighbours_of_mid))
@staticmethod
def __cast_cells_to_list_and_remove_center_cell(cell_states):
neighbours_of_mid = list(cell_states.values())
neighbours_of_mid.remove(neighbours_of_mid[4])
return neighbours_of_mid
@staticmethod
def __create_cell_states():
cell_states = {}
for x in range(3):
for y in range(3):
cell_states[(x, y)] = CellState([x * y], False)
return cell_states
def test_1dimension_coordinates(self):
c = TestFac.make_cells([3], CellState)
c = TestFac.make_cell_states(CellState, Rule(self._neighborhood), [3])
self.assertEqual(list(c.keys()), [(0,), (1,), (2,)])
def test_2dimension_coordinates(self):
c = TestFac.make_cells([2, 2], CellState)
c = TestFac.make_cell_states(CellState, Rule(self._neighborhood), [2, 2])
self.assertEqual(list(c.keys()), [(0, 0), (0, 1), (1, 0), (1, 1)])
def test_3dimension_coordinates(self):
c = TestFac.make_cells([2, 2, 2], CellState)
c = TestFac.make_cell_states(CellState, Rule(self._neighborhood), [2, 2, 2])
self.assertEqual(list(c.keys()), [(0, 0, 0), (0, 0, 1), (0, 1, 0), (0, 1, 1),
(1, 0, 0), (1, 0, 1), (1, 1, 0), (1, 1, 1)])
def test_apply_neighborhood(self):
cells = TestFac.make_cells([3, 3], CellState)
TestFac.apply_neighborhood(cells, self._neighborhood, [3, 3])
neighbors = self.__create_neighbor_list_of_cell((1, 1), cells)
self.assertEqual(set(neighbors), set(cells[(1, 1)].neighbor_states))
@staticmethod
def __create_neighbor_list_of_cell(cell_id, cells):
neighbors = []
for c in cells.values():
if c != cells[cell_id]:
neighbors.append(c.state)
return neighbors
if __name__ == '__main__':
unittest.main()

18
test/test_neighborhood.py
View File

@ -1,5 +1,21 @@
"""
Copyright 2019 Richard Feistenauer
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import sys
sys.path.append('../src')
sys.path.append('../..')
from cellular_automaton import cellular_automaton as csn
import unittest