Add count_channels function to count open channels
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@ -194,7 +194,7 @@ class Neuropercolation(CellularAutomatonCreator, abc.ABC):
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new_state = evolution_rule(old.state.copy(), old_c.state.copy(), [n.state[0] for n in old.neighbors], coord[2], coord_c[2]) #inverse the inhibitory layer's action
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evolve_cell(old, new, new_state)
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def __evolve_cell(self, old, cell, new_state):
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changed = new_state != old.state
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cell.state = new_state
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@ -221,6 +221,12 @@ class Neuropercolation(CellularAutomatonCreator, abc.ABC):
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new_cell_state = ALIVE
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return new_cell_state
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def count_channels(self):
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open_channels = [0,0]
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for coord, old in zip(self._current_state.keys(), self._current_state.values()):
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open_channels[coord[2]] += 1 if sum([n.state[0] for n in old.neighbors])==2 else 0
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return open_channels
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class NeuropercolationCoupled(CellularAutomatonCreator, abc.ABC):
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def __init__(self, dim, eps, coupling=[], *args, **kwargs):
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@ -299,3 +305,10 @@ class NeuropercolationCoupled(CellularAutomatonCreator, abc.ABC):
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else:
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new_cell_state = ALIVE
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return new_cell_state
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def count_channels(self):
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open_channels = [[0,0],[0,0]]
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for coord, old in zip(self._current_state.keys(), self._current_state.values()):
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open_channels[coord[3]][coord[2]] += 1 if sum([n.state[0] for n in old.neighbors])==2 and coord[:2] in self.coupling else 0
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return open_channels
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