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58 lines
2.1 KiB
Python
Executable File
58 lines
2.1 KiB
Python
Executable File
#!/usr/bin/python3
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# This example runs the same scenario repeatedly, each time cancelling a
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# different number of trips uniformly at random. The eventual goal is to
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# quantify how many trips need to be cancelled to substantially speed up
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# remaining ones.
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#
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# Before running this script, start the API server:
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#
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# > cargo run --release --bin headless -- --port=1234 --alerts=silence
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#
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# You may need to install https://requests.readthedocs.io
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# Keep this script formatted with autopep8 -i
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import abst_helpers
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import argparse
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import sys
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import time
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('--api', default='http://localhost:1234')
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parser.add_argument('--map_name', default='montlake')
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parser.add_argument('--hours', type=int, default=24)
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parser.add_argument('--cmp1', type=int, default=None)
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parser.add_argument('--cmp2', type=int, default=None)
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args = parser.parse_args()
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if args.cmp1 and args.cmp2 and args.cmp1 > args.cmp2:
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sys.exit(
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'--cmp1={} --cmp2={} invalid, --cmp1 is the baseline'.format(args.cmp1, args.cmp2))
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print('Simulating {} hours of data/system/scenarios/{}/weekday.bin'.format(args.hours, args.map_name))
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print('')
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num_succeeded_last = 0
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results2 = None
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for pct in range(100, 0, -10):
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start = time.time()
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results = abst_helpers.run_sim(args, modifiers=[{'CancelPeople': pct}])
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print('{}% of people cancelled: {:,} trips aborted, {:,} trips succeeded. Simulation took {:.1f}s'.format(
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pct, results.num_aborted, len(results.trip_times), time.time() - start))
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if len(results.trip_times) < num_succeeded_last:
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print('--> less trips succeeded this round, so likely hit gridlock')
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break
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num_succeeded_last = len(results.trip_times)
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if args.cmp2 == pct:
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results2 = results
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if args.cmp1 == pct:
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print('')
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print('Baseline cancelled {}%, experimental cancelled {}%'.format(
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args.cmp1, args.cmp2))
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results.compare(results, results2)
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print('')
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if __name__ == '__main__':
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main()
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