Add json dump for automaton states
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@ -16,6 +16,9 @@ limitations under the License.
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# pylint: disable=all
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import os
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import json
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import pbjson
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import time
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import operator
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import collections
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@ -69,6 +72,7 @@ class Simulate2Layers:
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eps,
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res=4,
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draw='pygame',
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path='/cloud/Public/_data/neuropercolation/test/',
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state_to_color_cb=None,
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*args, **kwargs):
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"""
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@ -83,13 +87,17 @@ class Simulate2Layers:
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super().__init__(*args, **kwargs)
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self._cellular_automaton = Neuropercolation(dim,eps)
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self.__cell_size = [res,res]
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self.__dimension = dim
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self.__epsilon = eps
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self.__gridside = dim*res
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self.__samegap = 10
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self.__othergap = 20
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self.__rect = _Rect(left=0, top=30, width=dim*res, height=2*dim*res+self.__samegap)
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self.__draw_engine = PygameEngine((self.__rect.width,self.__rect.height+self.__rect.top)) if draw == 'pygame' else draw
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self.__state_to_color = self._get_cell_color if state_to_color_cb is None else state_to_color_cb
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self.__path = path
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self.__state_list = []
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def run(self,
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evolutions_per_second=0,
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evolutions_per_draw=1,
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@ -101,10 +109,12 @@ class Simulate2Layers:
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:param last_evolution_step: 0 = infinite | > 0 evolution step at which this method will stop
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Warning: is blocking until finished
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"""
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self._append_state()
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with contextlib.suppress(KeyboardInterrupt):
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while self._is_not_user_terminated() and self._not_at_the_end(last_evolution_step):
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time_ca_start = time.time()
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self._cellular_automaton.evolve(evolutions_per_draw)
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self._append_state()
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time_ca_end = time.time()
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self._redraw_dirty_cells()
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time_ds_end = time.time()
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@ -117,7 +127,26 @@ class Simulate2Layers:
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self.__draw_engine._pygame.quit()
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except:
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print('Failed to quit pygame')
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self._save_state_list()
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def _append_state(self):
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automaton_state = [[[0 for n in range(self.__dimension)] for m in range(self.__dimension)] for l in range(2)]
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for coord, cell in self._cellular_automaton._current_state.items():
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x,y,l = coord
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automaton_state[l][y][x] = int(cell.state[0])
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automaton_state = [[''.join(str(bits) for bits in rows) for rows in layers] for layers in automaton_state]
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automaton_state = ['.'.join(str(rows) for rows in layers) for layers in automaton_state]
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automaton_state = '-'.join(str(layers) for layers in automaton_state)
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self.__state_list.append(automaton_state)
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def _save_state_list(self):
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if not os.path.exists(self.__path):
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os.makedirs(self.__path)
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with open(self.__path+f"eps={round(self.__epsilon,3):.3f}_states.txt", 'w', encoding='utf-8') as f:
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json.dump(self.__state_list, f, indent=1)
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def _sleep_to_keep_rate(self, time_taken, evolutions_per_second): # pragma: no cover
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if evolutions_per_second > 0:
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rest_time = 1.0 / evolutions_per_second - time_taken
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@ -175,6 +204,7 @@ class Simulate4Layers:
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coupling=[],
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res=4,
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draw='pygame',
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path='/cloud/Public/_data/neuropercolation/test/',
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state_to_color_cb=None,
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*args, **kwargs):
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"""
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@ -189,13 +219,17 @@ class Simulate4Layers:
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super().__init__(*args, **kwargs)
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self._cellular_automaton = NeuropercolationCoupled(dim,eps,coupling)
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self.__cell_size = [res,res]
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self.__dimension = dim
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self.__epsilon = eps
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self.__gridside = dim*res
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self.__samegap = 10
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self.__othergap = 20
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self.__rect = _Rect(left=0, top=30, width=2*dim*res+self.__othergap, height=2*dim*res+self.__samegap)
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self.__draw_engine = PygameEngine((self.__rect.width,self.__rect.height+self.__rect.top)) if draw == 'pygame' else draw
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self.__state_to_color = self._get_cell_color if state_to_color_cb is None else state_to_color_cb
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self.__path = path
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self.__state_list = []
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def run(self,
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evolutions_per_second=0,
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evolutions_per_draw=1,
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@ -208,9 +242,11 @@ class Simulate4Layers:
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Warning: is blocking until finished
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"""
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with contextlib.suppress(KeyboardInterrupt):
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self._append_state()
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while self._is_not_user_terminated() and self._not_at_the_end(last_evolution_step):
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time_ca_start = time.time()
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self._cellular_automaton.evolve(evolutions_per_draw)
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self._append_state()
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time_ca_end = time.time()
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self._redraw_dirty_cells()
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time_ds_end = time.time()
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@ -223,7 +259,27 @@ class Simulate4Layers:
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self.__draw_engine._pygame.quit()
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except:
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print('Failed to quit pygame')
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self._save_state_list()
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def _append_state(self):
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automaton_state = [[[[0 for n in range(self.__dimension)] for m in range(self.__dimension)] for l in range(2)] for k in range(2)]
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for coord, cell in self._cellular_automaton._current_state.items():
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x,y,l,o = coord
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automaton_state[o][l][y][x] = int(cell.state[0])
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automaton_state = [[[''.join(str(bits) for bits in rows) for rows in layers] for layers in oscillators] for oscillators in automaton_state]
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automaton_state = [['.'.join(str(rows) for rows in layers) for layers in oscillators] for oscillators in automaton_state]
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automaton_state = ['-'.join(str(layers) for layers in oscillators) for oscillators in automaton_state]
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automaton_state = '='.join(str(oscillators) for oscillators in automaton_state)
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self.__state_list.append(automaton_state)
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def _save_state_list(self):
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if not os.path.exists(self.__path):
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os.makedirs(self.__path)
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with open(self.__path+f"eps={round(self.__epsilon,3):.3f}_states.txt", 'w', encoding='utf-8') as f:
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json.dump(self.__state_list, f, indent=1)
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def _sleep_to_keep_rate(self, time_taken, evolutions_per_second): # pragma: no cover
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if evolutions_per_second > 0:
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rest_time = 1.0 / evolutions_per_second - time_taken
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