@@ -177,7 +177,7 @@ def apply_cellular_automaton_rules(
177177 ... ages, birth_neighbor_counts={2},
178178 ... survival_neighbor_counts={2, 3}, use_wraparound=False
179179 ... )
180- >>> bool(new_ages[0, 0] > 0) # corner should be born (2 neighbors: right and down)
180+ >>> bool(new_ages[0, 0] > 0) # corner should be born
181181 True
182182
183183 >>> # Test aging of dead cells
@@ -189,7 +189,7 @@ def apply_cellular_automaton_rules(
189189 >>> bool(result[0, 0] == 3) # should age from 2 to 3
190190 True
191191
192- >>> apply_cellular_automaton_rules(np.array([1, 2]), {1}, {1}) # doctest: +IGNORE_EXCEPTION_DETAIL
192+ >>> apply_cellular_automaton_rules(np.array([1, 2]), {1}, {1})
193193 Traceback (most recent call last):
194194 ValueError: current_ages must be a 2D array
195195 """
@@ -272,7 +272,7 @@ def simulate_von_neumann_cellular_automaton(
272272 >>> all(grid.shape == (5, 5) for grid in result)
273273 True
274274
275- >>> simulate_von_neumann_cellular_automaton(generations=0) # doctest: +IGNORE_EXCEPTION_DETAIL
275+ >>> simulate_von_neumann_cellular_automaton(generations=0)
276276 Traceback (most recent call last):
277277 ValueError: generations must be positive
278278 """
@@ -632,7 +632,7 @@ def demo_randomized() -> None:
632632def demo_statistics () -> None :
633633 """Example 5: Print statistics about automaton evolution."""
634634 try :
635- final_state = simulate_cellular_automaton (
635+ final_state = visualize_cellular_automaton (
636636 rule_b = [3 ],
637637 rule_s = [2 , 3 ],
638638 size = 50 ,
0 commit comments