Download data/run.py from introvoyz041/FAS-Simulator: direct link, hf CLI and curl.
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- Download file 1.06 kB
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https://huggingface.co/datasets/introvoyz041/FAS-Simulator/resolve/main/data/run.py
- Command line
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hf download hf://datasets/introvoyz041/FAS-Simulator/data/run.py
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curl -L -o run.py https://huggingface.co/datasets/introvoyz041/FAS-Simulator/resolve/main/data/run.py
1.06 kB
| #!/usr/bin/python3 | |
| import simpy | |
| from modules.process.production_line import ProductionLine | |
| from modules.process.fas_instance import FASInstance | |
| from modules.components.clock import Clock | |
| from simulator.logger import Logger | |
| # Initializing | |
| env = simpy.Environment() | |
| logger = Logger(env) | |
| production_line = ProductionLine(env, logger) | |
| # First running through with one item for debugging reasons, to make sure the | |
| # event indices follow this order. | |
| fas_instance = FASInstance(env, production_line, logger) | |
| clock = Clock(env, logger) | |
| done = fas_instance.spawn() | |
| clock.spawn() | |
| env.run(done) | |
| # Putting in 20 items, waiting for them to be done, and then putting in 50 more, | |
| # waiting them to be done also. | |
| for i in range(0, 20): | |
| fas_instance = FASInstance(env, production_line, logger) | |
| done = fas_instance.spawn() | |
| env.run(done) | |
| for j in range(0, 50): | |
| fas_instance = FASInstance(env, production_line, logger) | |
| done = fas_instance.spawn() | |
| env.run(done) | |
| print("Done.") | |
| f = open("data/output.json", "w") | |
| f.write(logger.getLoglines()) | |
| f.close() | |