changed project structure
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.gitignore
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.gitignore
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@ -4,3 +4,4 @@ __pycache__
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.coverage
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htmlcov/
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*.orig
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performance.txt
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LICENSE.txt
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LICENSE.txt
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MANIFEST.in
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MANIFEST.in
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recursive-include cellular_automaton/examples *
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__init__.py
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__init__.py
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from .cellular_automaton import *
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cellular_automaton/__init__.py
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cellular_automaton/__init__.py
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from .cell_state import *
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from .neighborhood import *
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from .rule import *
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from .factory import *
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from .automaton import *
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from .display import *
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from cellular_automaton.ca_cell_state import CellState
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from .cell_state import CellState
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from typing import Type
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@ -1,4 +1,4 @@
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from cellular_automaton.ca_rule import Rule
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from cellular_automaton.cellular_automaton import Rule
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from typing import Type
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@ -7,8 +7,7 @@ import pstats
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from pympler import asizeof
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from cellular_automaton.ca_state import CellularAutomatonState
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from cellular_automaton.cellular_automaton import CellularAutomatonProcessor
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from . import CellularAutomatonState, CellularAutomatonProcessor
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class _DisplayInfo:
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from cellular_automaton import *
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from . import Neighborhood, CellState, Rule
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from ._cell import Cell
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from ._state import CellularAutomatonState
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from typing import Type
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import itertools
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@ -11,7 +11,7 @@ class Rule:
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""" Calculates and sets new state of 'cell'.
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:param last_cell_state: The cells current state to calculate new state for.
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:param neighbors_last_states: The cells neighbors current states.
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:return: True if state changed, False if not.
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:return: New state.
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A cells evolution will only be called if it or at least one of its neighbors has changed last evolution_step cycle.
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"""
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return False
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return last_cell_state
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@ -1,8 +1,7 @@
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#!/usr/bin/env python3
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import random
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from cellular_automaton.ca_rule import Rule
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from cellular_automaton.ca_cell_state import CellState, SynchronousCellState
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from cellular_automaton import *
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class TestRule(Rule):
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@ -29,7 +28,6 @@ class MyState(CellState):
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if __name__ == "__main__":
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from cellular_automaton import *
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# best single is 400/400 with 0,2 ca speed and 0,09 redraw / multi is 300/300 with 0.083
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neighborhood = MooreNeighborhood(EdgeRule.FIRST_AND_LAST_CELL_OF_DIMENSION_ARE_NEIGHBORS)
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ca = CAFactory.make_cellular_automaton(dimension=[100, 100],
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setup.py
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setup.py
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from distutils.core import setup
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setup(
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name="cellular_automaton",
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version="0.1.0",
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author="Richard Feistenauer",
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author_email="r.feistenauer@web.de",
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packages=["cellular_automaton"],
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url="https://gitlab.com/DamKoVosh/cellular_automaton",
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license="LICENSE.txt",
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description="N dimensional cellular automaton implementation with multi processing capability.",
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long_description="README.md",
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requires=["pygame"]
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)
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from .ca_cell import *
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from .ca_cell_state import *
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from .ca_display import *
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from .ca_neighborhood import *
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from .ca_rule import *
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from .ca_state import *
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from .cellular_automaton import *
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from .ca_factory import *
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import sys
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sys.path.append('../src')
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from cellular_automaton import *
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from cellular_automaton.cellular_automaton import *
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import unittest
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import sys
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sys.path.append('../src')
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import cellular_automaton.ca_cell_state as cs
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from cellular_automaton import cellular_automaton as cs
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import unittest
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import sys
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sys.path.append('../src')
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from cellular_automaton import *
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from cellular_automaton.cellular_automaton import *
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import unittest
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import mock
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import sys
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sys.path.append('../src')
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import cellular_automaton.ca_neighborhood as csn
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from cellular_automaton import cellular_automaton as csn
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import unittest
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