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155 lines
4.6 KiB
155 lines
4.6 KiB
#!/usr/bin/env python3
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import util.script as script
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import util.queries as queries
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import dimod
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from tqdm import tqdm
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def main():
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#instance_parameters()
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#wmis_results()
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#wmis_siman_results_alpha_num_of_assignments()
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#wmis_siman_results()
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minisat_runs()
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def instance_parameters():
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edb = script.connect_to_experimetns_db()
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edb_cursor = edb.cursor()
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idb = script.connect_to_instance_pool()
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instances = queries.Instance_scope_query(idb)
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instances.query("c42_vLogistic_6")
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insert_row = ("INSERT INTO c42_vLogistic_6_instances "
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"(instance_id, "
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" number_of_clauses, "
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" number_of_variables) "
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"VALUES (%s, %s, %s)")
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for instance, instance_id in tqdm(instances):
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edb_cursor.execute(insert_row, (str(instance_id),
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int(instance.getNumberOfClauses()),
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int(instance.getNumberOfVariables())))
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edb.commit()
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edb_cursor.close()
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edb.close()
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def wmis_siman_results():
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db = script.connect_to_instance_pool()
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q = queries.WMIS_result_scope_query_raw(db)
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q.query("c45_v[5-45]_1", "wmis_siman_results")
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for i in range(2):
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result = q.__next__()
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sample_set = queries.read_raw_wmis_sample_set(result["data"])
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data = script.analyze_wmis_sample(sample_set.first)
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print(data)
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def wmis_siman_results_alpha_num_of_assignments():
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edb = script.connect_to_experimetns_db()
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edb_cursor = edb.cursor()
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idb = script.connect_to_instance_pool()
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q = queries.WMIS_result_scope_query_raw(idb)
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q.query("c42_vLogistic_6", "wmis_siman_results")
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insert_row = ("INSERT INTO c42_vLogistic_6_wmis_siman_results "
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"(result_id, "
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" run, "
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" instance_id, "
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" number_of_found_assignments, "
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" chain_break_fraction, "
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" num_occurrences, "
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" energy, "
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" satisfiable) "
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"VALUES (%s, %s, %s, %s, %s, %s, %s, %s) ")
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for result in tqdm(q):
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sample_set = queries.read_raw_wmis_sample_set(result["data"])
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data = script.analyze_wmis_sample(sample_set.first)
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sat = queries.get_instance_by_id(idb["instances"], result["instance"])
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model = script.majority_vote_sample(sample_set.first.sample)
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isSatisfiable = sat.checkAssignment(model)
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edb_cursor.execute(insert_row, (str(result["_id"]),
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int(result["run"]),
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str(result["instance"]),
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int(data["number_of_assignments"]),
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float(data["chain_break_fraction"]),
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int(data["num_occurrences"]),
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int(data["energy"]),
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isSatisfiable))
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edb.commit()
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edb_cursor.close()
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edb.close()
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def minisat_runs():
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edb = script.connect_to_experimetns_db()
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edb_cursor = edb.cursor();
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idb = script.connect_to_instance_pool()
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runs = queries.Minisat_run_scope_query_raw(idb)
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runs.query("c42_vLogistic_6", "minisat_runs")
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insert_row = ("INSERT INTO c42_vLogistic_6_minisat_runs "
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"(run_id, "
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" instance_id, "
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" satisfiable) "
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"VALUES (%s, %s, %s) ")
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for run in tqdm(runs):
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data = script.analyde_minisat_run(run)
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edb_cursor.execute(insert_row, (str(run["_id"]),
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str(run["instance"]),
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int(data["satisfiable"])))
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edb.commit()
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edb_cursor.close()
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edb.close()
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def wmis_results():
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edb = script.connect_to_experimetns_db()
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edb_cursor = edb.cursor();
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idb = script.connect_to_instance_pool()
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q = queries.WMIS_result_scope_query_raw(idb)
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q.query("c42_v[5-84]_1", "wmis_qbsolv_results")
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for i in range(501):
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q.__next__()
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res = q.__next__()
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sample_set = queries.read_raw_wmis_sample_set(res["data"])
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model = script.majority_vote_sample(sample_set.first.sample)
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sat = queries.get_instance_by_id(idb["instances"], res["instance"])
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print(model)
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print(sat.getNumberOfVariables())
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print(sat.checkAssignment(model))
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if __name__ == "__main__":
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main()
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