generated from mwc/lab_retro
it felt more foreign, if that makes sense. The code used in this program was not my work hence, I did not feel as though I completely understood how each agent was doing what it was doing. I guess I can see the value of agents because they really do cut things short and functional. But I much prefer the labs and programs that had more original input for the learning experience! At this stage I don't know if I am comfortable or confident going into the game project but I will try to think more about the agents to understand better.
19 lines
576 B
Python
19 lines
576 B
Python
# asteroid_spawner.py
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# -------------------
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# By MWC Contributors
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# This module defines an AsteroidSpawner agent class.
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from random import randint
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from asteroid import Asteroid
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class AsteroidSpawner:
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display = False
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def play_turn(self, game):
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width, height = game.board_size
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game.state['score'] += 1
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if self.should_spawn_asteroid(game.turn_number):
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asteroid = Asteroid((randint(0, width - 1), 0))
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game.add_agent(asteroid)
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def should_spawn_asteroid(self, turn_number):
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return randint(0, 1000) < turn_number |