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with exp

This commit is contained in:
HaoYizhi 2023-06-11 22:42:04 +08:00
parent c367252da2
commit ad8771c459
9 changed files with 86 additions and 35 deletions
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2
.vscode/launch.json vendored
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@ -12,7 +12,7 @@
"console": "integratedTerminal",
"justMyCode": true,
"args": [
"--exp", "without_exp",
"--exp", "with_exp",
"--reset_db", "True",
"--job", "24"
]

1
SQL_check_num_dis_firm_in_ts.sql
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@ -10,6 +10,7 @@ iiabmdb.with_exp_result
where s_id = '54170';
SELECT * FROM iiabmdb.with_exp_sample where id='54170';
SELECT * FROM iiabmdb.with_exp_experiment where id='1084';
SELECT max(id) FROM iiabmdb.with_exp_sample;
select * from

6
SQL_export_high_risk_setting.sql
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@ -1,3 +1,5 @@
select count(*) from iiabmdb.without_exp_sample;
select distinct s_id from iiabmdb.without_exp_result where ts > 0;
select s_id, max(ts) as max_ts from iiabmdb.without_exp_result where ts > 0 group by s_id order by max_ts;
select e_id, count(id) as count, max(max_ts) as max_max_ts from iiabmdb.without_exp_sample as a
@ -13,5 +15,5 @@ inner join (select s_id, max(ts) as max_ts from iiabmdb.without_exp_result where
on a.id = b.s_id
group by e_id) as b
on a.id = b.e_id
where count >= 9
order by count desc;
where count >= 12
order by count desc;

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__pycache__/controller_db.cpython-38.pyc
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2
conf_db_prefix.yaml
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@ -1 +1 @@
db_name_prefix: without_exp
db_name_prefix: test

6
controller_db.py
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@ -74,7 +74,7 @@ class ControllerDB:
result['dct_lst_init_remove_firm_prod'] = \
result['dct_lst_init_remove_firm_prod'].apply(
lambda x: pickle.loads(x))
list_dct = result.loc[result['count'] >= 9,
list_dct = result.loc[result['count'] >= 12,
'dct_lst_init_remove_firm_prod'].to_list()
# list_dct = [{'140': ['1.4.5.1']}]
# list_dct = [{'133': ['1.4.4.1']}]
@ -98,9 +98,9 @@ class ControllerDB:
g_product_js = json.dumps(nx.adjacency_data(g_bom))
# insert exp
df_xv = pd.read_csv("xv_without_exp.csv", index_col=None)
df_xv = pd.read_csv("xv_with_exp.csv", index_col=None)
# read the OA table
df_oa = pd.read_csv("oa_without_exp.csv", index_col=None)
df_oa = pd.read_csv("oa_with_exp.csv", index_col=None)
df_oa = df_oa.iloc[:, 0:df_xv.shape[1]]
for idx_scenario, row in df_oa.iterrows():
dct_exp_para = {}

39
oa_L36.txt Normal file
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@ -0,0 +1,39 @@
X X X X X X X X X X X X X X X X X X X X X X X
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
-------------------------------------------------------------------
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2
1 1 1 1 1 1 1 1 1 1 1 3 3 3 3 3 3 3 3 3 3 3 3
1 1 1 1 1 2 2 2 2 2 2 1 1 1 1 2 2 2 2 3 3 3 3
1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 1 1 1 1
1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 1 1 1 1 2 2 2 2
1 1 2 2 2 1 1 1 2 2 2 1 1 2 3 1 2 3 3 1 2 2 3
1 1 2 2 2 1 1 1 2 2 2 2 2 3 1 2 3 1 1 2 3 3 1
1 1 2 2 2 1 1 1 2 2 2 3 3 1 2 3 1 2 2 3 1 1 2
1 2 1 2 2 1 2 2 1 1 2 1 1 3 2 1 3 2 3 2 1 3 2
1 2 1 2 2 1 2 2 1 1 2 2 2 1 3 2 1 3 1 3 2 1 3
1 2 1 2 2 1 2 2 1 1 2 3 3 2 1 3 2 1 2 1 3 2 1
1 2 2 1 2 2 1 2 1 2 1 1 2 3 1 3 2 1 3 3 2 1 2
1 2 2 1 2 2 1 2 1 2 1 2 3 1 2 1 3 2 1 1 3 2 3
1 2 2 1 2 2 1 2 1 2 1 3 1 2 3 2 1 3 2 2 1 3 1
1 2 2 2 1 2 2 1 2 1 1 1 2 3 2 1 1 3 2 3 3 2 1
1 2 2 2 1 2 2 1 2 1 1 2 3 1 3 2 2 1 3 1 1 3 2
1 2 2 2 1 2 2 1 2 1 1 3 1 2 1 3 3 2 1 2 2 1 3
2 1 2 2 1 1 2 2 1 2 1 1 2 1 3 3 3 1 2 2 1 2 3
2 1 2 2 1 1 2 2 1 2 1 2 3 2 1 1 1 2 3 3 2 3 1
2 1 2 2 1 1 2 2 1 2 1 3 1 3 2 2 2 3 1 1 3 1 2
2 1 2 1 2 2 2 1 1 1 2 1 2 2 3 3 1 2 1 1 3 3 2
2 1 2 1 2 2 2 1 1 1 2 2 3 3 1 1 2 3 2 2 1 1 3
2 1 2 1 2 2 2 1 1 1 2 3 1 1 2 2 3 1 3 3 2 2 1
2 1 1 2 2 2 1 2 2 1 1 1 3 2 1 2 3 3 1 3 1 2 2
2 1 1 2 2 2 1 2 2 1 1 2 1 3 2 3 1 1 2 1 2 3 3
2 1 1 2 2 2 1 2 2 1 1 3 2 1 3 1 2 2 3 2 3 1 1
2 2 2 1 1 1 1 2 2 1 2 1 3 2 2 2 1 1 3 2 3 1 3
2 2 2 1 1 1 1 2 2 1 2 2 1 3 3 3 2 2 1 3 1 2 1
2 2 2 1 1 1 1 2 2 1 2 3 2 1 1 1 3 3 2 1 2 3 2
2 2 1 2 1 2 1 1 1 2 2 1 3 3 3 2 3 2 2 1 2 1 1
2 2 1 2 1 2 1 1 1 2 2 2 1 1 1 3 1 3 3 2 3 2 2
2 2 1 2 1 2 1 1 1 2 2 3 2 2 2 1 2 1 1 3 1 3 3
2 2 1 1 2 1 2 1 2 2 1 1 3 1 2 3 2 3 1 2 2 3 1
2 2 1 1 2 1 2 1 2 2 1 2 1 2 3 1 3 1 2 3 3 1 2
2 2 1 1 2 1 2 1 2 2 1 3 2 3 1 2 1 2 3 1 1 2 3

65
oa_with_exp.csv
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@ -1,28 +1,37 @@
X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13
0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,1,1,1,1,1,1,1,1,1
0,0,0,0,2,2,2,2,2,2,2,2,2
0,1,1,1,0,0,0,1,1,1,2,2,2
0,1,1,1,1,1,1,2,2,2,0,0,0
0,1,1,1,2,2,2,0,0,0,1,1,1
0,2,2,2,0,0,0,2,2,2,1,1,1
0,2,2,2,1,1,1,0,0,0,2,2,2
0,2,2,2,2,2,2,1,1,1,0,0,0
1,0,1,2,0,1,2,0,1,2,0,1,2
1,0,1,2,1,2,0,1,2,0,1,2,0
1,0,1,2,2,0,1,2,0,1,2,0,1
1,1,2,0,0,1,2,1,2,0,2,0,1
1,1,2,0,1,2,0,2,0,1,0,1,2
1,1,2,0,2,0,1,0,1,2,1,2,0
1,2,0,1,0,1,2,2,0,1,1,2,0
1,2,0,1,1,2,0,0,1,2,2,0,1
1,2,0,1,2,0,1,1,2,0,0,1,2
2,0,2,1,0,2,1,0,2,1,0,2,1
2,0,2,1,1,0,2,1,0,2,1,0,2
2,0,2,1,2,1,0,2,1,0,2,1,0
2,1,0,2,0,2,1,1,0,2,2,1,0
2,1,0,2,1,0,2,2,1,0,0,2,1
2,1,0,2,2,1,0,0,2,1,1,0,2
2,2,1,0,0,2,1,2,1,0,1,0,2
2,2,1,0,1,0,2,0,2,1,2,1,0
2,2,1,0,2,1,0,1,0,2,0,2,1
X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15,X16,X17,X18,X19,X20,X21,X22,X23
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
2,1,1,1,2,1,1,2,2,2,2,2,1,2,1,1,1,1,1,2,2,2,2
3,1,1,1,3,1,1,3,3,3,3,3,1,3,1,1,1,1,1,3,3,3,3
1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3
2,1,1,1,2,1,1,2,2,3,3,3,2,3,2,2,2,2,2,1,1,1,1
3,1,1,1,3,1,1,3,3,1,1,1,2,1,2,2,2,2,2,2,2,2,2
1,1,1,2,1,2,2,2,3,1,2,3,1,3,1,1,2,2,2,1,2,2,3
2,1,1,2,2,2,2,3,1,2,3,1,1,1,1,1,2,2,2,2,3,3,1
3,1,1,2,3,2,2,1,2,3,1,2,1,2,1,1,2,2,2,3,1,1,2
1,1,2,1,1,2,2,3,2,1,3,2,1,3,2,2,1,1,2,2,1,3,2
2,1,2,1,2,2,2,1,3,2,1,3,1,1,2,2,1,1,2,3,2,1,3
3,1,2,1,3,2,2,2,1,3,2,1,1,2,2,2,1,1,2,1,3,2,1
1,1,2,2,2,1,2,3,1,3,2,1,2,3,1,2,1,2,1,3,2,1,2
2,1,2,2,3,1,2,1,2,1,3,2,2,1,1,2,1,2,1,1,3,2,3
3,1,2,2,1,1,2,2,3,2,1,3,2,2,1,2,1,2,1,2,1,3,1
1,1,2,2,2,2,1,3,2,1,1,3,2,2,2,1,2,1,1,3,3,2,1
2,1,2,2,3,2,1,1,3,2,2,1,2,3,2,1,2,1,1,1,1,3,2
3,1,2,2,1,2,1,2,1,3,3,2,2,1,2,1,2,1,1,2,2,1,3
1,2,1,2,2,2,1,1,3,3,3,1,1,2,2,2,1,2,1,2,1,2,3
2,2,1,2,3,2,1,2,1,1,1,2,1,3,2,2,1,2,1,3,2,3,1
3,2,1,2,1,2,1,3,2,2,2,3,1,1,2,2,1,2,1,1,3,1,2
1,2,1,2,2,1,2,2,3,3,1,2,2,1,2,1,1,1,2,1,3,3,2
2,2,1,2,3,1,2,3,1,1,2,3,2,2,2,1,1,1,2,2,1,1,3
3,2,1,2,1,1,2,1,2,2,3,1,2,3,2,1,1,1,2,3,2,2,1
1,2,1,1,3,2,2,2,1,2,3,3,2,1,1,2,2,1,1,3,1,2,2
2,2,1,1,1,2,2,3,2,3,1,1,2,2,1,2,2,1,1,1,2,3,3
3,2,1,1,2,2,2,1,3,1,2,2,2,3,1,2,2,1,1,2,3,1,1
1,2,2,2,3,1,1,2,2,2,1,1,1,3,1,2,2,1,2,2,3,1,3
2,2,2,2,1,1,1,3,3,3,2,2,1,1,1,2,2,1,2,3,1,2,1
3,2,2,2,2,1,1,1,1,1,3,3,1,2,1,2,2,1,2,1,2,3,2
1,2,2,1,3,2,1,3,3,2,3,2,2,2,1,1,1,2,2,1,2,1,1
2,2,2,1,1,2,1,1,1,3,1,3,2,3,1,1,1,2,2,2,3,2,2
3,2,2,1,2,2,1,2,2,1,2,1,2,1,1,1,1,2,2,3,1,3,3
1,2,2,1,3,1,2,1,2,3,2,3,1,1,2,1,2,2,1,2,2,3,1
2,2,2,1,1,1,2,2,3,1,3,1,1,2,2,1,2,2,1,3,3,1,2
3,2,2,1,2,1,2,3,1,2,1,2,1,3,2,1,2,2,1,1,1,2,3

1 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23
2 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1
3 0 2 0 1 0 1 0 1 1 2 1 1 1 2 1 2 1 2 1 2 1 2 1 2 1 1 1 1 1 2 2 2 2
4 0 3 0 1 0 1 0 1 2 3 2 1 2 1 2 3 2 3 2 3 2 3 2 3 2 1 3 1 1 1 1 1 3 3 3 3
5 0 1 1 1 1 0 1 0 1 0 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3
6 0 2 1 1 1 1 2 1 1 2 2 2 3 0 3 0 3 0 2 3 2 2 2 2 2 1 1 1 1
7 0 3 1 1 1 2 3 2 1 2 1 0 3 0 3 0 1 1 1 1 2 1 2 2 2 2 2 2 2 2 2
8 0 1 2 1 2 1 2 0 1 0 2 0 2 2 2 3 2 1 1 2 1 3 1 3 1 1 2 2 2 1 2 2 3
9 0 2 2 1 2 1 2 1 2 1 2 1 2 0 3 0 1 0 2 2 3 2 1 2 1 1 1 1 2 2 2 2 3 3 1
10 0 3 2 1 2 1 2 2 3 2 2 1 1 2 1 3 0 1 0 2 0 1 2 1 1 2 2 2 3 1 1 2
11 1 0 1 1 2 2 1 0 1 1 2 2 0 3 1 2 2 1 0 3 1 2 2 1 3 2 2 1 1 2 2 1 3 2
12 1 2 0 1 1 2 2 1 1 2 2 0 2 1 2 3 0 2 1 2 3 0 1 1 2 2 1 1 2 3 2 1 3
13 1 3 0 1 1 2 2 1 2 3 0 2 1 2 2 0 1 1 3 2 0 1 1 2 2 2 1 1 2 1 3 2 1
14 1 1 2 0 2 0 2 1 2 1 3 2 1 0 3 2 0 1 1 2 3 1 2 1 2 1 3 2 1 2
15 1 2 1 2 0 2 1 3 2 1 0 2 2 1 0 2 1 0 3 1 2 2 1 1 2 1 2 1 1 3 2 3
16 1 3 1 2 0 2 2 1 0 1 1 2 0 2 1 3 2 1 2 3 0 2 2 1 2 1 2 1 2 1 3 1
17 1 2 1 0 2 1 2 0 2 1 2 2 1 2 3 0 2 1 1 2 3 0 2 2 2 1 2 1 1 3 3 2 1
18 1 2 2 1 0 2 1 2 1 3 2 0 1 0 1 1 3 2 2 0 1 1 2 3 2 1 2 1 1 1 1 3 2
19 1 3 2 1 0 2 1 2 2 1 0 2 1 1 2 2 1 0 3 0 3 1 2 2 1 2 1 2 1 1 2 2 1 3
20 2 1 0 2 2 1 1 2 0 2 2 1 0 1 2 3 1 3 0 3 2 1 1 2 2 2 1 2 1 2 1 2 3
21 2 0 2 2 1 1 2 1 3 0 2 2 1 1 2 0 1 2 1 1 0 2 2 1 3 2 2 1 2 1 3 2 3 1
22 2 3 0 2 2 1 1 2 2 1 1 2 0 1 2 3 1 2 0 2 2 1 3 0 1 1 2 2 1 2 1 1 3 1 2
23 2 1 1 2 0 1 2 0 2 2 1 1 2 1 2 0 3 2 3 2 1 1 2 0 2 1 2 1 1 1 2 1 3 3 2
24 2 1 2 0 1 2 1 3 0 1 2 2 3 1 0 1 0 2 2 3 1 2 2 2 1 1 1 2 2 1 1 3
25 2 3 1 2 0 1 2 2 1 1 0 2 0 1 2 1 2 1 3 0 1 2 3 2 1 1 1 2 3 2 2 1
26 2 1 2 1 0 1 0 3 2 1 2 2 1 0 2 1 3 0 3 2 1 1 2 2 1 1 3 1 2 2
27 2 2 1 0 1 1 0 2 2 0 3 2 1 3 2 1 1 0 2 2 1 2 2 1 1 1 2 3 3
28 2 3 2 1 0 1 2 1 2 0 2 1 0 3 2 1 0 2 2 1 2 3 1 2 2 1 1 2 3 1 1
29 1 2 2 2 3 1 1 2 2 2 1 1 1 3 1 2 2 1 2 2 3 1 3
30 2 2 2 2 1 1 1 3 3 3 2 2 1 1 1 2 2 1 2 3 1 2 1
31 3 2 2 2 2 1 1 1 1 1 3 3 1 2 1 2 2 1 2 1 2 3 2
32 1 2 2 1 3 2 1 3 3 2 3 2 2 2 1 1 1 2 2 1 2 1 1
33 2 2 2 1 1 2 1 1 1 3 1 3 2 3 1 1 1 2 2 2 3 2 2
34 3 2 2 1 2 2 1 2 2 1 2 1 2 1 1 1 1 2 2 3 1 3 3
35 1 2 2 1 3 1 2 1 2 3 2 3 1 1 2 1 2 2 1 2 2 3 1
36 2 2 2 1 1 1 2 2 3 1 3 1 1 2 2 1 2 2 1 3 3 1 2
37 3 2 2 1 2 1 2 3 1 2 1 2 1 3 2 1 2 2 1 1 1 2 3

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oa_with_exp.xlsx Normal file
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