new cellular automaton
This commit is contained in:
Richard Feistenauer
parent
facc15cebc
commit
390c95df30
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||||||
<window_info id="Structure" order="1" side_tool="true" weight="0.25" />
|
|
||||||
<window_info id="Favorites" order="2" side_tool="true" />
|
|
||||||
<window_info anchor="bottom" id="Message" order="0" />
|
|
||||||
<window_info anchor="bottom" id="Find" order="1" />
|
|
||||||
<window_info active="true" anchor="bottom" id="Run" order="2" sideWeight="0.49894625" visible="true" weight="0.329718" />
|
|
||||||
<window_info anchor="bottom" id="Debug" order="3" weight="0.4" />
|
|
||||||
<window_info anchor="bottom" id="Cvs" order="4" weight="0.25" />
|
|
||||||
<window_info anchor="bottom" id="Inspection" order="5" weight="0.4" />
|
|
||||||
<window_info anchor="bottom" id="TODO" order="6" weight="0.329718" />
|
|
||||||
<window_info anchor="bottom" id="Version Control" order="7" show_stripe_button="false" />
|
|
||||||
<window_info anchor="bottom" id="Terminal" order="8" sideWeight="0.49894625" weight="0.329718" />
|
|
||||||
<window_info anchor="bottom" id="Event Log" order="9" sideWeight="0.50105375" side_tool="true" visible="true" weight="0.329718" />
|
|
||||||
<window_info anchor="bottom" id="Python Console" order="10" sideWeight="0.49947312" weight="0.329718" />
|
|
||||||
<window_info anchor="right" id="Commander" internal_type="SLIDING" order="0" type="SLIDING" weight="0.4" />
|
|
||||||
<window_info anchor="right" id="Ant Build" order="1" weight="0.25" />
|
|
||||||
<window_info anchor="right" content_ui="combo" id="Hierarchy" order="2" weight="0.25" />
|
|
||||||
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|
|
||||||
</component>
|
|
||||||
<component name="VcsContentAnnotationSettings">
|
|
||||||
<option name="myLimit" value="2678400000" />
|
|
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|
|
||||||
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|
|
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|
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|
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|
|
||||||
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|
|
||||||
</provider>
|
|
||||||
</entry>
|
|
||||||
<entry file="file://$PROJECT_DIR$/src/world_generator.py">
|
|
||||||
<provider selected="true" editor-type-id="text-editor">
|
|
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|
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|
|
||||||
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|
|
||||||
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|
|
||||||
<entry file="file://$PROJECT_DIR$/src/cellular_automaton/__init__.py">
|
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||||||
<provider selected="true" editor-type-id="text-editor" />
|
|
||||||
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|
|
||||||
<entry file="file://$PROJECT_DIR$/src/cellular_automaton/cellular_automaton.py">
|
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|
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|
|
||||||
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|
|
||||||
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|
|
||||||
<entry file="file://$PROJECT_DIR$/src/cellular_automaton/ca_rule.py">
|
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|
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|
|
||||||
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|
|
||||||
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|
|
||||||
<entry file="file://$PROJECT_DIR$/src/cellular_automaton/ca_neighberhood.py">
|
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|
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|
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|
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|
|
||||||
</provider>
|
|
||||||
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|
|
||||||
<entry file="file://$PROJECT_DIR$/src/cellular_automaton/ca_grid.py">
|
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|
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|
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|
|
||||||
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|
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||||||
</state>
|
|
||||||
</provider>
|
|
||||||
</entry>
|
|
||||||
<entry file="file://$PROJECT_DIR$/src/cellular_automaton/ca_cell.py">
|
|
||||||
<provider selected="true" editor-type-id="text-editor">
|
|
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|
|
||||||
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|
|
||||||
</state>
|
|
||||||
</provider>
|
|
||||||
</entry>
|
|
||||||
<entry file="file://$PROJECT_DIR$/scripts/main_ui.py">
|
|
||||||
<provider selected="true" editor-type-id="text-editor">
|
|
||||||
<state relative-caret-position="272">
|
|
||||||
<caret line="16" column="59" selection-start-line="16" selection-start-column="59" selection-end-line="16" selection-end-column="59" />
|
|
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|
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<element signature="e#24#37#0" expanded="true" />
|
|
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<marker date="1543672995350" expanded="true" signature="132:425" ph="..." />
|
|
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</folding>
|
|
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|
|
||||||
</provider>
|
|
||||||
</entry>
|
|
||||||
</component>
|
|
||||||
</project>
|
|
||||||
@ -3,7 +3,10 @@
|
|||||||
import pygame
|
import pygame
|
||||||
import random
|
import random
|
||||||
|
|
||||||
from cellular_automaton import cellular_automaton
|
from cellular_automaton.cellular_automaton import CellularAutomaton
|
||||||
|
from cellular_automaton.ca_cell import CACell
|
||||||
|
from cellular_automaton.ca_grid import CAGrid
|
||||||
|
from cellular_automaton.ca_rule import CARule
|
||||||
|
|
||||||
|
|
||||||
class WorldGeneratorWindow:
|
class WorldGeneratorWindow:
|
||||||
@ -44,5 +47,19 @@ def main():
|
|||||||
running = False
|
running = False
|
||||||
|
|
||||||
|
|
||||||
|
class TestRule(CARule):
|
||||||
|
def evolve_cell(self, cell, neighbors):
|
||||||
|
if neighbors[1][0] != 0:
|
||||||
|
return [1]
|
||||||
|
else:
|
||||||
|
return [0]
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
main()
|
main()
|
||||||
|
dim = [200, 500]
|
||||||
|
ca = CellularAutomaton(2)
|
||||||
|
|
||||||
|
new_grid = CAGrid(dim)
|
||||||
|
new_grid.set_cell_by_coordinate([1, 1], CACell([1]))
|
||||||
|
rule = TestRule()
|
||||||
|
|||||||
@ -1,19 +1,7 @@
|
|||||||
class CACell:
|
class Cell:
|
||||||
def __init__(self, initial_state=None):
|
def __init__(self, name: str):
|
||||||
if initial_state:
|
self.name = name
|
||||||
assert isinstance(initial_state, (tuple, list))
|
self.neighbours = []
|
||||||
self._state = initial_state
|
|
||||||
else:
|
|
||||||
self._state = [0]
|
|
||||||
|
|
||||||
def __getitem__(self, index):
|
def set_neighbours(self, neighbours: list):
|
||||||
return self._state[index]
|
self.neighbours = neighbours
|
||||||
|
|
||||||
def __setitem__(self, index, value):
|
|
||||||
self._state[index] = value
|
|
||||||
|
|
||||||
def __len__(self):
|
|
||||||
return len(self._state)
|
|
||||||
|
|
||||||
def __str__(self):
|
|
||||||
return str(self._state)
|
|
||||||
|
|||||||
@ -1,124 +1,78 @@
|
|||||||
from cellular_automaton.ca_cell import CACell
|
from cellular_automaton.ca_cell import Cell
|
||||||
from functools import reduce
|
from cellular_automaton.ca_neighborhood import CellularAutomatonNeighborhood
|
||||||
|
|
||||||
|
|
||||||
class CAGrid:
|
class Grid:
|
||||||
def __init__(self, dimensions, initial_grid_state=None):
|
def __init__(self, dimension: list, neighborhood: CellularAutomatonNeighborhood):
|
||||||
assert isinstance(dimensions, list)
|
self._dimension = dimension
|
||||||
assert len(dimensions) > 0
|
self._cells = {}
|
||||||
self._dimensions = dimensions
|
self._neighborhood = neighborhood
|
||||||
|
|
||||||
self._cell_count = reduce(lambda x, y: x*y, dimensions)
|
self._create_cells()
|
||||||
|
self._set_cell_neighbours()
|
||||||
|
|
||||||
if initial_grid_state:
|
self._active_cells = {}
|
||||||
assert isinstance(initial_grid_state, list)
|
self.set_all_cells_active()
|
||||||
assert len(initial_grid_state) == self._cell_count
|
|
||||||
assert isinstance(initial_grid_state[0], CACell)
|
|
||||||
self._grid = initial_grid_state
|
|
||||||
else:
|
|
||||||
self._grid = []
|
|
||||||
|
|
||||||
for i in range(self._cell_count):
|
def set_all_cells_active(self):
|
||||||
self._grid.append(CACell())
|
for cell_key in self._cells:
|
||||||
|
self._active_cells[cell_key] = 1
|
||||||
|
|
||||||
def get_index_from_coordinate(self, coordinate):
|
def get_active_cells(self):
|
||||||
""" Convert a coordinate to the index in the grid list.
|
return self._active_cells.keys()
|
||||||
:param coordinate: A tuple or list with the position of the cell.
|
|
||||||
Has to have the same dimension as the grid.
|
def get_cell_and_neighbors(self, cell_name):
|
||||||
:return: The index of the cell at the coordinates
|
cell = self._cells[cell_name]
|
||||||
|
neighbours = cell.neighbours
|
||||||
|
neighbour_objects = []
|
||||||
|
for ne in neighbours:
|
||||||
|
neighbour_objects.append(self._cells[ne])
|
||||||
|
|
||||||
|
return [cell, neighbour_objects]
|
||||||
|
|
||||||
|
|
||||||
|
def _create_cells(self, dimension_index=0, coordinate=None):
|
||||||
|
""" Recursively steps down the dimensions to create cells in n dimensions and adds them to a dict.
|
||||||
|
:param dimension_index: The index indicating which dimension is currently traversed.
|
||||||
|
:param coordinate: The coordinate generated so far.
|
||||||
|
(each recursion adds one dimension to the coordinate.
|
||||||
"""
|
"""
|
||||||
assert len(self._dimensions) == len(coordinate)
|
coordinate = self.instantiate_coordinate_if_necessary(coordinate)
|
||||||
index = 0
|
|
||||||
for i, c in enumerate(coordinate[1:]):
|
|
||||||
index += c * reduce(lambda x, y: x * y, self._dimensions[:i+1])
|
|
||||||
index += coordinate[0]
|
|
||||||
return index
|
|
||||||
|
|
||||||
def get_coordinate_from_index(self, index):
|
try:
|
||||||
""" Convert an index to the coordinate in the grid list.
|
self._recursive_step_down_dimensions(coordinate, dimension_index, self._create_cells)
|
||||||
:param index: The Index of the cell in the grid.
|
except IndexError:
|
||||||
:return: The coordinate pointing at the indexed cell in the grid.
|
coordinate_string = '-'.join(coordinate)
|
||||||
|
self._cells[coordinate_string] = Cell(coordinate_string)
|
||||||
|
|
||||||
|
def _recursive_step_down_dimensions(self, coordinate, dimension_index, recursion_method):
|
||||||
|
""" For the range of the current dimension, recalls the recursion method.
|
||||||
|
:param coordinate: The coordinate so far.
|
||||||
|
:param dimension_index: The current dimension lvl.
|
||||||
|
:param recursion_method: The method to call for recursion.
|
||||||
"""
|
"""
|
||||||
coordinate = len(self._dimensions)*[0]
|
for cell_index in range(self._dimension[dimension_index]):
|
||||||
for i, d in enumerate(self._dimensions):
|
coordinate.append(cell_index)
|
||||||
coordinate[-(i + 1)] = index // reduce(lambda x, y: x * y, self._dimensions[-(i + 1):])
|
recursion_method(dimension_index + 1, coordinate.copy())
|
||||||
index = index % reduce(lambda x, y: x * y, self._dimensions[-(i + 1):])
|
|
||||||
|
|
||||||
coordinate[0] = index
|
@staticmethod
|
||||||
|
def instantiate_coordinate_if_necessary(coordinate):
|
||||||
|
if coordinate is None:
|
||||||
|
coordinate = []
|
||||||
return coordinate
|
return coordinate
|
||||||
|
|
||||||
def get_cell_by_coordinate(self, coordinate):
|
def _set_cell_neighbours(self, dimension_index=0, coordinate=None):
|
||||||
""" Read a cell using a list or tuple as reference
|
""" Recursively steps down the dimensions to get the string instances for each cells neighbours.
|
||||||
:param coordinate A tuple or list with the position of the cell.
|
:param dimension_index: The index indicating which dimension is currently traversed.
|
||||||
Has to have the same dimension as the grid.
|
:param coordinate: The coordinate generated so far.
|
||||||
:return: The CACell at the coordinate in the grid.
|
(each recursion adds one dimension to the coordinate.
|
||||||
"""
|
"""
|
||||||
|
coordinate = self.instantiate_coordinate_if_necessary(coordinate)
|
||||||
|
|
||||||
try:
|
try:
|
||||||
return self[self.get_index_from_coordinate(coordinate)]
|
self._recursive_step_down_dimensions(coordinate, dimension_index, self._set_cell_neighbours)
|
||||||
except IndexError:
|
except IndexError:
|
||||||
return None
|
neighbours_coordinates = self._neighborhood.get_neighbor_coordinates(coordinate, self._dimension)
|
||||||
|
neighbour_names = [self._cells['-'.join(nc)].name for nc in neighbours_coordinates]
|
||||||
|
self._cells['-'.join(coordinate)].set_neighbours(neighbour_names)
|
||||||
|
|
||||||
def get_all_neighbour_cells(self, position, neighborhood):
|
|
||||||
""" Get a list with all cells defined by the neighborhood.
|
|
||||||
:param position: The position as index or coordinate.
|
|
||||||
:param neighborhood: The neighborhood definition as tuple.
|
|
||||||
:return: All Cells defined by the neighborhood in a list.
|
|
||||||
"""
|
|
||||||
if isinstance(position, (tuple, list)):
|
|
||||||
coordinate = position[:]
|
|
||||||
else:
|
|
||||||
coordinate = self.get_coordinate_from_index(position)
|
|
||||||
|
|
||||||
neighbors = []
|
|
||||||
|
|
||||||
for neighbor in neighborhood:
|
|
||||||
neighbor_coordinate = []
|
|
||||||
for i, (c, nc) in enumerate(zip(coordinate, neighbor)):
|
|
||||||
coord = c + nc
|
|
||||||
if coord < 0:
|
|
||||||
coord = self._dimensions[i] - 1
|
|
||||||
elif coord == self._dimensions[i]:
|
|
||||||
coord = 0
|
|
||||||
|
|
||||||
neighbor_coordinate.append(coord)
|
|
||||||
|
|
||||||
index_ = self.get_cell_by_coordinate(neighbor_coordinate)
|
|
||||||
if index_:
|
|
||||||
neighbors.append(index_)
|
|
||||||
|
|
||||||
return neighbors
|
|
||||||
|
|
||||||
def get_dimensions(self):
|
|
||||||
return self._dimensions
|
|
||||||
|
|
||||||
def set_cell_by_coordinate(self, coordinate, value):
|
|
||||||
""" Write to a cell using a list or tuple as reference
|
|
||||||
:param coordinate A tuple or list with the position of the cell.
|
|
||||||
Has to have the same dimension as the grid.
|
|
||||||
"""
|
|
||||||
try:
|
|
||||||
self._grid[self.get_index_from_coordinate(coordinate)] = value
|
|
||||||
except IndexError:
|
|
||||||
return None
|
|
||||||
|
|
||||||
def __eq__(self, other):
|
|
||||||
if len(self._grid) != len(other):
|
|
||||||
return False
|
|
||||||
|
|
||||||
for i in self._cell_count:
|
|
||||||
if self._grid[i] != other[i]:
|
|
||||||
return False
|
|
||||||
|
|
||||||
return True
|
|
||||||
|
|
||||||
def __len__(self):
|
|
||||||
return len(self._grid)
|
|
||||||
|
|
||||||
def __getitem__(self, index):
|
|
||||||
return self._grid[int(index)]
|
|
||||||
|
|
||||||
def __setitem__(self, index, value):
|
|
||||||
self._grid[index] = value
|
|
||||||
|
|
||||||
def __str__(self):
|
|
||||||
return str(self._grid)
|
|
||||||
|
|||||||
@ -1,7 +0,0 @@
|
|||||||
|
|
||||||
|
|
||||||
class Neighborhood:
|
|
||||||
MOOR_2_X_2 = [[-1, -1], [-1, 0], [-1, 1], [0, -1], [0, 0], [0, 1], [1, -1], [1, 0], [1, 1]]
|
|
||||||
|
|
||||||
def __init__(self):
|
|
||||||
pass
|
|
||||||
64
src/cellular_automaton/ca_neighborhood.py
Normal file
64
src/cellular_automaton/ca_neighborhood.py
Normal file
@ -0,0 +1,64 @@
|
|||||||
|
from enum import Enum
|
||||||
|
|
||||||
|
|
||||||
|
class EdgeRule(Enum):
|
||||||
|
IGNORE_MISSING_NEIGHBORS_OF_EDGE_CELLS = 0
|
||||||
|
IGNORE_EDGE_CELLS = 1
|
||||||
|
FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS = 2
|
||||||
|
|
||||||
|
|
||||||
|
class CellularAutomatonNeighborhood:
|
||||||
|
def __init__(self, neighbors: list, edge_rule: EdgeRule):
|
||||||
|
self._neighbors = neighbors
|
||||||
|
self.edge_rule = edge_rule
|
||||||
|
self.dimensions = []
|
||||||
|
|
||||||
|
def get_relative_neighbor_coordinates(self):
|
||||||
|
return self._neighbors
|
||||||
|
|
||||||
|
def get_neighbor_coordinates(self, cell_coordinate, dimensions):
|
||||||
|
self.dimensions = dimensions
|
||||||
|
if not self._does_ignore_edge_cell_rule_apply(cell_coordinate):
|
||||||
|
return self._apply_edge_rule_to_neighbours_of(cell_coordinate)
|
||||||
|
|
||||||
|
def _does_ignore_edge_cell_rule_apply(self, coordinate):
|
||||||
|
if self.edge_rule == EdgeRule.IGNORE_EDGE_CELLS and self._is_coordinate_on_an_edge(coordinate):
|
||||||
|
return True
|
||||||
|
return False
|
||||||
|
|
||||||
|
def _is_coordinate_on_an_edge(self, coordinate):
|
||||||
|
for nd, d in zip(coordinate, self.dimensions):
|
||||||
|
if nd == 0 or nd == d - 1:
|
||||||
|
return True
|
||||||
|
return False
|
||||||
|
|
||||||
|
def _apply_edge_rule_to_neighbours_of(self, cell_coordinate):
|
||||||
|
remaining_neighbours = []
|
||||||
|
for neighbour in self._neighbors:
|
||||||
|
if not self._does_ignore_edge_cell_neighbours_rule_apply(neighbour, cell_coordinate):
|
||||||
|
remaining_neighbours.append(self._calculate_neighbour_coordinate(neighbour, cell_coordinate))
|
||||||
|
|
||||||
|
def _does_ignore_edge_cell_neighbours_rule_apply(self, neighbour, cell_coordinate):
|
||||||
|
if self.edge_rule == EdgeRule.IGNORE_MISSING_NEIGHBORS_OF_EDGE_CELLS:
|
||||||
|
for rel_nd, cd, d in zip(neighbour, cell_coordinate, self.dimensions):
|
||||||
|
nd = cd + rel_nd
|
||||||
|
if nd < 0 or nd >= d:
|
||||||
|
return True
|
||||||
|
return False
|
||||||
|
|
||||||
|
def _calculate_neighbour_coordinate(self, neighbour, cell_coordinate):
|
||||||
|
for rel_nd, cd, d in zip(neighbour, cell_coordinate, self.dimensions):
|
||||||
|
nd = cd + rel_nd
|
||||||
|
if nd < 0:
|
||||||
|
nd = d - 1
|
||||||
|
elif nd >= d:
|
||||||
|
nd = 0
|
||||||
|
return nd
|
||||||
|
|
||||||
|
|
||||||
|
class MooreNeighborhood(CellularAutomatonNeighborhood):
|
||||||
|
def __init__(self, edge_rule: EdgeRule):
|
||||||
|
super().__init__([[-1, -1], [0, -1], [1, -1],
|
||||||
|
[-1, 0], [0, 0], [1, 0],
|
||||||
|
[-1, 1], [0, 1], [1, 1]],
|
||||||
|
edge_rule)
|
||||||
@ -1,13 +1,9 @@
|
|||||||
import abc
|
from cellular_automaton.ca_cell import Cell
|
||||||
|
|
||||||
|
|
||||||
class CARule(abc.ABC):
|
class Rule:
|
||||||
@abc.abstractmethod
|
def __init__(self):
|
||||||
def evolve_cell(self, cell, neighbors):
|
pass
|
||||||
"""
|
|
||||||
Evolves a cell and returns its new state as list of states.
|
def evolve_cell(self, cell: Cell, neighbours: list):
|
||||||
:param cell: The cell to evolve.
|
|
||||||
:param neighbors: A list of its neighbors.
|
|
||||||
:return: The new state list.
|
|
||||||
"""
|
|
||||||
pass
|
pass
|
||||||
|
|||||||
@ -1,50 +1,66 @@
|
|||||||
import threading
|
import threading
|
||||||
import time
|
import time
|
||||||
|
|
||||||
from cellular_automaton.ca_cell import CACell
|
from cellular_automaton.ca_grid import Grid
|
||||||
from cellular_automaton.ca_grid import CAGrid
|
from cellular_automaton.ca_rule import Rule
|
||||||
|
|
||||||
|
|
||||||
class CellularAutomaton:
|
class CellularAutomaton:
|
||||||
def __init__(self, threads=1):
|
def __init__(self, dimension: list, rule_: Rule=None, thread_count: int=4):
|
||||||
assert threads > 0
|
self.grid = Grid(dimension)
|
||||||
self._thread_count = threads
|
self._rule = rule_
|
||||||
|
self._thread_count=thread_count
|
||||||
|
|
||||||
def evolve(self, grid, neighborhood, rule):
|
def set_rule(self, rule: Rule):
|
||||||
range_ = int(len(grid) / self._thread_count)
|
self._rule = rule
|
||||||
|
|
||||||
|
def set_thread_count(self, thread_count: int):
|
||||||
|
self._thread_count = thread_count
|
||||||
|
|
||||||
|
def evolve(self):
|
||||||
|
cell_lists_for_threats = self.create_cell_lists_for_threads()
|
||||||
|
threads = self._start_treads_to_evolve_grid(cell_lists_for_threats)
|
||||||
|
self._wait_for_all_threads_to_finish(threads)
|
||||||
|
|
||||||
|
def create_cell_lists_for_threads(self):
|
||||||
|
active_cells = self.grid.get_active_cells()
|
||||||
|
cell_count_per_thread = int(len(active_cells) / self._thread_count)
|
||||||
|
return self.divide_active_cells(cell_count_per_thread, active_cells)
|
||||||
|
|
||||||
|
@staticmethod
|
||||||
|
def divide_active_cells(cell_count_per_thread, active_cells):
|
||||||
|
return [active_cells[i:i + cell_count_per_thread]
|
||||||
|
for i in range(0, len(active_cells), cell_count_per_thread)]
|
||||||
|
|
||||||
|
def _start_treads_to_evolve_grid(self, cell_lists_for_threats):
|
||||||
threads = []
|
threads = []
|
||||||
for t in range(self._thread_count):
|
for t in range(self._thread_count):
|
||||||
new_thread = EvolutionThread(grid, neighborhood, rule, [t * range_, t * range_ + range_])
|
new_thread = _EvolutionThread(self.grid, self._rule, cell_lists_for_threats[t])
|
||||||
threads.append(new_thread)
|
threads.append(new_thread)
|
||||||
new_thread.start()
|
new_thread.start()
|
||||||
|
return threads
|
||||||
|
|
||||||
new_grid_state = []
|
@staticmethod
|
||||||
|
def _wait_for_all_threads_to_finish(threads):
|
||||||
for thread in threads:
|
for thread in threads:
|
||||||
while not thread.is_finished():
|
while not thread.is_finished():
|
||||||
time.sleep(0.01)
|
time.sleep(0.01)
|
||||||
|
|
||||||
new_grid_state.extend(thread.get_new_cell_states())
|
|
||||||
thread.join()
|
thread.join()
|
||||||
|
|
||||||
return CAGrid(grid.get_dimensions(), new_grid_state)
|
|
||||||
|
|
||||||
|
class _EvolutionThread(threading.Thread):
|
||||||
class EvolutionThread(threading.Thread):
|
def __init__(self, grid: Grid, rule: Rule, cell_list: list):
|
||||||
def __init__(self, grid, neighborhood, rule, range_):
|
super(_EvolutionThread, self).__init__()
|
||||||
super(EvolutionThread, self).__init__()
|
|
||||||
self._grid = grid
|
self._grid = grid
|
||||||
self._neighborhood = neighborhood
|
|
||||||
self._rule = rule
|
self._rule = rule
|
||||||
self._range = range_
|
self._cell_list = cell_list
|
||||||
self._next_state = []
|
self._next_state = []
|
||||||
self._finished = False
|
self._finished = False
|
||||||
|
|
||||||
def run(self):
|
def run(self):
|
||||||
for cell_id in range(*self._range):
|
for cell in self._cell_list:
|
||||||
neighbors = self._grid.get_all_neighbour_cells(cell_id, self._neighborhood)
|
self._rule.evolve_cell(*self._grid.get_cell_and_neighbors(cell))
|
||||||
cell = self._grid[cell_id]
|
|
||||||
self._next_state.append(CACell(self._rule.evolve_cell(cell, neighbors)))
|
|
||||||
self._finished = True
|
self._finished = True
|
||||||
|
|
||||||
def get_new_cell_states(self):
|
def get_new_cell_states(self):
|
||||||
|
|||||||
@ -1,90 +0,0 @@
|
|||||||
#!/usr/bin/env python3
|
|
||||||
|
|
||||||
import tkinter
|
|
||||||
|
|
||||||
from cellular_automaton.cellular_automaton import CellularAutomaton
|
|
||||||
from cellular_automaton.ca_neighberhood import Neighborhood
|
|
||||||
from cellular_automaton.ca_rule import CARule
|
|
||||||
from cellular_automaton.ca_grid import CAGrid
|
|
||||||
from cellular_automaton.ca_cell import CACell
|
|
||||||
|
|
||||||
import datetime
|
|
||||||
import pygame
|
|
||||||
|
|
||||||
UPDATE_RATE = 10
|
|
||||||
|
|
||||||
|
|
||||||
class TkGUI:
|
|
||||||
def __init__(self):
|
|
||||||
self.root = tkinter.Tk()
|
|
||||||
|
|
||||||
self.canvas = tkinter.Canvas(self.root)
|
|
||||||
self.canvas.pack(padx=5, pady=5)
|
|
||||||
|
|
||||||
self.ca = None
|
|
||||||
self.current_state = None
|
|
||||||
self.dimensions = None
|
|
||||||
self.rule_ = None
|
|
||||||
|
|
||||||
self.grid_image = None
|
|
||||||
|
|
||||||
def run(self):
|
|
||||||
self.root.after(10, self.update_state())
|
|
||||||
self.root.mainloop()
|
|
||||||
|
|
||||||
def update_state(self):
|
|
||||||
a = datetime.datetime.now()
|
|
||||||
self.current_state = self.ca.evolve(self.current_state, Neighborhood.MOOR_2_X_2, self.rule_)
|
|
||||||
b = datetime.datetime.now()
|
|
||||||
self.draw_current_state()
|
|
||||||
c = datetime.datetime.now()
|
|
||||||
print(b-a)
|
|
||||||
print(c-b)
|
|
||||||
self.root.after(UPDATE_RATE, self.update_state)
|
|
||||||
|
|
||||||
def draw_current_state(self):
|
|
||||||
for idx in range(self.dimensions[0]):
|
|
||||||
for idy in range(self.dimensions[1]):
|
|
||||||
cell = self.current_state[idy * self.dimensions[0] + idx]
|
|
||||||
if cell[0] == 0:
|
|
||||||
cell_color = "#ffffff"
|
|
||||||
else:
|
|
||||||
cell_color = "#444444"
|
|
||||||
|
|
||||||
self.grid_image.put(cell_color, (idx, idy))
|
|
||||||
|
|
||||||
def start(self, ca_, grid, dimensions, rule_):
|
|
||||||
self.grid_image = tkinter.PhotoImage(width=dimensions[0], height=dimensions[1])
|
|
||||||
self.ca = ca_
|
|
||||||
self.current_state = grid
|
|
||||||
self.dimensions = dimensions
|
|
||||||
self.rule_ = rule_
|
|
||||||
|
|
||||||
# Clear the canvas (remove all shapes)
|
|
||||||
self.canvas.delete(tkinter.ALL)
|
|
||||||
|
|
||||||
self.draw_current_state()
|
|
||||||
self.canvas.create_image(self.dimensions, image=self.grid_image, state="normal")
|
|
||||||
|
|
||||||
# Draw the canvas
|
|
||||||
self.draw_current_state()
|
|
||||||
|
|
||||||
|
|
||||||
class TestRule(CARule):
|
|
||||||
def evolve_cell(self, cell, neighbors):
|
|
||||||
if neighbors[1][0] != 0:
|
|
||||||
return [1]
|
|
||||||
else:
|
|
||||||
return [0]
|
|
||||||
|
|
||||||
#if __name__ == '__main__':
|
|
||||||
# gui = TkGUI()
|
|
||||||
# dim = [200, 500]
|
|
||||||
# ca = CellularAutomaton(2)
|
|
||||||
#
|
|
||||||
# new_grid = CAGrid(dim)
|
|
||||||
# new_grid.set_cell_by_coordinate([1, 1], CACell([1]))
|
|
||||||
# rule = TestRule()
|
|
||||||
# gui.start(ca, new_grid, dim, rule)##
|
|
||||||
#
|
|
||||||
# gui.run()
|
|
||||||
Loading…
Reference in New Issue
Block a user