2023-01-31 20:19:02 +00:00
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import json
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import os
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import matplotlib.pyplot as plt
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import subprocess
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import csv
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from tqdm import tqdm
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# Run your code:
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2024-02-07 14:23:56 +00:00
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# Make sure that your code is using print_results_for_visualization
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executable_filename = ['make', 'run-visual']
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2023-01-31 20:19:02 +00:00
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num_runs = 100
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graph_repo = "data"
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os.makedirs(graph_repo, exist_ok=True)
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fancy_num_runs = range(0, num_runs, 1)
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for run_id in tqdm(fancy_num_runs):
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p = subprocess.run(executable_filename,
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stdout=subprocess.PIPE, universal_newlines=True)
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reader = csv.reader(p.stdout.splitlines())
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dict_of_lists = dict()
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for store_lev in range(1, 4+1, 1):
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dict_of_lists[store_lev] = []
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store_level = 1
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for row in reader:
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temp = row[0].split(' ')[:-1]
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dict_of_lists[store_level] = list(map(int, temp))
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store_level+=1
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#print(dict_of_lists)
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filename = graph_repo+"/run"+str(run_id)+".json"
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jsonFile = open(filename, "w")
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jsonFile.write(json.dumps(dict_of_lists))
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jsonFile.close()
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