HaoYizhi
/
IIabm
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

condense external variables

This commit is contained in:
HaoYizhi 2023-06-14 18:00:08 +08:00
parent ad8771c459
commit 36abde1022
13 changed files with 93 additions and 103 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
.vscode/launch.json vendored
View File

@ -12,9 +12,9 @@
"console": "integratedTerminal",
"justMyCode": true,
"args": [
"--exp", "with_exp",
"--exp", "test",
"--reset_db", "True",
"--job", "24"
"--job", "1"
]
}
]

BIN
__pycache__/controller_db.cpython-38.pyc
View File

Binary file not shown.

BIN
__pycache__/firm.cpython-38.pyc
View File

Binary file not shown.

BIN
__pycache__/model.cpython-38.pyc
View File

Binary file not shown.

BIN
__pycache__/orm.cpython-38.pyc
View File

Binary file not shown.

59
controller_db.py
View File

@ -23,7 +23,13 @@ class ControllerDB:
def __init__(self, prefix, reset_flag=0):
with open('conf_experiment.yaml') as yaml_file:
dct_conf_experiment = yaml.full_load(yaml_file)
assert prefix in ['test', 'without_exp', 'with_exp'], \
"db name not in test, without_exp, with_exp"
self.is_test = prefix == 'test'
self.is_with_exp = \
False if prefix == 'test' or prefix == 'without_exp' else True
self.db_name_prefix = prefix
dct_para_in_test = dct_conf_experiment[
'test'] if self.is_test else dct_conf_experiment['not_test']
@ -46,18 +52,8 @@ class ControllerDB:
Firm.fillna(0, inplace=True)
# fill dct_lst_init_remove_firm_prod
assert self.db_name_prefix in ['test', 'without_exp', 'with_exp'], \
"db name not in test, without_exp, with_exp"
list_dct = []
if self.db_name_prefix in ['test', 'without_exp']:
for _, row in Firm.iterrows():
code = row['Code']
row = row['1':]
for product_code in row.index[row == 1].to_list():
dct = {code: [product_code]}
list_dct.append(dct)
elif self.db_name_prefix in ['with_exp']:
if self.is_with_exp:
str_sql = "select e_id, count, max_max_ts, " \
"dct_lst_init_remove_firm_prod from " \
"iiabmdb.without_exp_experiment as a " \
@ -76,13 +72,20 @@ class ControllerDB:
lambda x: pickle.loads(x))
list_dct = result.loc[result['count'] >= 12,
'dct_lst_init_remove_firm_prod'].to_list()
else:
for _, row in Firm.iterrows():
code = row['Code']
row = row['1':]
for product_code in row.index[row == 1].to_list():
dct = {code: [product_code]}
list_dct.append(dct)
# list_dct = [{'140': ['1.4.5.1']}]
# list_dct = [{'133': ['1.4.4.1']}]
# list_dct = [{'2': ['1.1.3']}]
# list_dct = [{'135': ['1.3.2.1']}]
# list_dct = [{'79': ['2.1.3.4']}]
# list_dct = [{'99': ['1.3.3']}]
# list_dct = [{'41': ['1.4.5']}]
list_dct = [{'41': ['1.4.5']}]
# fill g_bom
BomNodes = pd.read_csv('BomNodes.csv', index_col=0)
@ -98,9 +101,13 @@ class ControllerDB:
g_product_js = json.dumps(nx.adjacency_data(g_bom))
# insert exp
df_xv = pd.read_csv("xv_with_exp.csv", index_col=None)
df_xv = pd.read_csv(
f"xv_{'with_exp' if self.is_with_exp else 'without_exp'}.csv",
index_col=None)
# read the OA table
df_oa = pd.read_csv("oa_with_exp.csv", index_col=None)
df_oa = pd.read_csv(
f"oa_{'with_exp' if self.is_with_exp else 'without_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 = {}
@ -119,13 +126,10 @@ class ControllerDB:
def add_experiment_1(self, idx_scenario, idx_init_removal,
dct_lst_init_remove_firm_prod, g_bom,
n_max_trial, crit_supplier,
firm_req_prf_size, firm_req_prf_conn,
firm_acc_prf_size, firm_acc_prf_conn,
netw_sply_prf_n, netw_sply_prf_size,
netw_cust_prf_n, netw_cust_prf_size,
n_max_trial, prf_size, prf_conn,
cap_limit_prob_type, cap_limit_level,
diff_new_conn, diff_remove, proactive_ratio):
diff_new_conn, crit_supplier, diff_remove,
proactive_ratio, netw_prf_n):
e = Experiment(
idx_scenario=idx_scenario,
idx_init_removal=idx_init_removal,
@ -134,20 +138,15 @@ class ControllerDB:
dct_lst_init_remove_firm_prod=dct_lst_init_remove_firm_prod,
g_bom=g_bom,
n_max_trial=n_max_trial,
crit_supplier=crit_supplier,
firm_req_prf_size=firm_req_prf_size,
firm_req_prf_conn=firm_req_prf_conn,
firm_acc_prf_size=firm_acc_prf_size,
firm_acc_prf_conn=firm_acc_prf_conn,
netw_sply_prf_n=netw_sply_prf_n,
netw_sply_prf_size=netw_sply_prf_size,
netw_cust_prf_n=netw_cust_prf_n,
netw_cust_prf_size=netw_cust_prf_size,
prf_size=prf_size,
prf_conn=prf_conn,
cap_limit_prob_type=cap_limit_prob_type,
cap_limit_level=cap_limit_level,
diff_new_conn=diff_new_conn,
crit_supplier=crit_supplier,
diff_remove=diff_remove,
proactive_ratio=proactive_ratio
proactive_ratio=proactive_ratio,
netw_prf_n=netw_prf_n
)
db_session.add(e)
db_session.commit()

20
firm.py
View File

@ -23,12 +23,10 @@ class FirmAgent(ap.Agent):
self.dct_request_prod_from_firm = {}
# para
self.flt_crit_supplier = float(self.p.crit_supplier)
self.is_firm_req_prf_size = bool(self.p.firm_req_prf_size)
self.is_firm_req_prf_conn = bool(self.p.firm_req_prf_conn)
self.is_firm_acc_prf_size = bool(self.p.firm_acc_prf_size)
self.is_firm_acc_prf_conn = bool(self.p.firm_acc_prf_conn)
self.is_prf_size = self.model.is_prf_size
self.is_prf_conn = bool(self.p.prf_conn)
self.flt_diff_new_conn = float(self.p.diff_new_conn)
self.flt_crit_supplier = float(self.p.crit_supplier)
def remove_edge_to_cus_remove_cus_up_prod(self, remove_product):
lst_out_edge = list(
@ -80,7 +78,7 @@ class FirmAgent(ap.Agent):
continue
# select based on connection
lst_firm_connect = []
if self.is_firm_req_prf_conn:
if self.is_prf_conn:
for firm in \
self.dct_cand_alt_supply_up_prod_removed[product]:
out_edges = self.model.firm_network.graph.out_edges(
@ -98,7 +96,7 @@ class FirmAgent(ap.Agent):
lst_firm_connect.append(firm)
if len(lst_firm_connect) == 0:
# select based on size or not
if self.is_firm_req_prf_size:
if self.is_prf_size:
lst_size = \
[size for size in
self.dct_cand_alt_supply_up_prod_removed[
@ -113,7 +111,7 @@ class FirmAgent(ap.Agent):
self.dct_cand_alt_supply_up_prod_removed[product])
elif len(lst_firm_connect) > 0:
# select based on size of connected firm or not
if self.is_firm_req_prf_size:
if self.is_prf_size:
lst_firm_size = \
[firm.revenue_log for firm in lst_firm_connect]
lst_prob = \
@ -161,7 +159,7 @@ class FirmAgent(ap.Agent):
elif len(lst_firm) > 1:
# handling based on connection
lst_firm_connect = []
if self.is_firm_acc_prf_conn:
if self.is_prf_conn:
for firm in lst_firm:
out_edges = \
self.model.firm_network.graph.out_edges(
@ -182,7 +180,7 @@ class FirmAgent(ap.Agent):
lst_firm_connect.append(firm)
if len(lst_firm_connect) == 0:
# handling based on size or not
if self.is_firm_acc_prf_size:
if self.is_prf_size:
lst_firm_size = \
[firm.revenue_log for firm in lst_firm]
lst_prob = \
@ -197,7 +195,7 @@ class FirmAgent(ap.Agent):
self.accept_request(select_customer, product)
elif len(lst_firm_connect) > 0:
# handling based on size of connected firm or not
if self.is_firm_acc_prf_size:
if self.is_prf_size:
lst_firm_size = \
[firm.revenue_log for firm in lst_firm_connect]
lst_prob = \

14
model.py
View File

@ -19,14 +19,12 @@ class Model(ap.Model):
self.dct_lst_remove_firm_prod = self.p.dct_lst_init_remove_firm_prod
self.int_n_max_trial = int(self.p.n_max_trial)
self.int_netw_sply_prf_n = int(self.p.netw_sply_prf_n)
self.is_netw_sply_prf_size = bool(self.p.netw_sply_prf_size)
self.int_netw_cust_prf_n = int(self.p.netw_cust_prf_n)
self.is_netw_cust_prf_size = bool(self.p.netw_cust_prf_size)
self.is_prf_size = bool(self.p.prf_size)
self.str_cap_limit_prob_type = str(self.p.cap_limit_prob_type)
self.flt_cap_limit_level = float(self.p.cap_limit_level)
self.flt_diff_remove = float(self.p.diff_remove)
self.proactive_ratio = float(self.p.proactive_ratio)
self.int_netw_prf_n = int(self.p.netw_prf_n)
# init graph bom
G_bom = nx.adjacency_graph(json.loads(self.p.g_bom))
@ -81,11 +79,11 @@ class Model(ap.Model):
lst_pred_firm = \
Firm['Code'][Firm[pred_product_code] == 1].to_list()
# select multiple supplier (multi-sourcing)
n_pred_firm = self.int_netw_sply_prf_n
n_pred_firm = self.int_netw_prf_n
if n_pred_firm > len(lst_pred_firm):
n_pred_firm = len(lst_pred_firm)
# based on size or not
if self.is_netw_sply_prf_size:
if self.is_prf_size:
lst_pred_firm_size = \
[G_Firm.nodes[pred_firm]['Revenue_Log']
for pred_firm in lst_pred_firm]
@ -147,11 +145,11 @@ class Model(ap.Model):
lst_succ_firm = Firm['Code'][
Firm[succ_product_code] == 1].to_list()
# select multiple customer (multi-selling)
n_succ_firm = self.int_netw_cust_prf_n
n_succ_firm = self.int_netw_prf_n
if n_succ_firm > len(lst_succ_firm):
n_succ_firm = len(lst_succ_firm)
# based on size or not
if self.is_netw_cust_prf_size:
if self.is_prf_size:
lst_succ_firm_size = \
[G_Firm.nodes[succ_firm]['Revenue_Log']
for succ_firm in lst_succ_firm]

72
oa_with_exp.csv
View File

@ -1,37 +1,37 @@
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
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
1,0,0,0,1,0,0,1,1,1,1,1,0,1,0,0,0,0,0,1,1,1,1
2,0,0,0,2,0,0,2,2,2,2,2,0,2,0,0,0,0,0,2,2,2,2
0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,2,2,2,2
1,0,0,0,1,0,0,1,1,2,2,2,1,2,1,1,1,1,1,0,0,0,0
2,0,0,0,2,0,0,2,2,0,0,0,1,0,1,1,1,1,1,1,1,1,1
0,0,0,1,0,1,1,1,2,0,1,2,0,2,0,0,1,1,1,0,1,1,2
1,0,0,1,1,1,1,2,0,1,2,0,0,0,0,0,1,1,1,1,2,2,0
2,0,0,1,2,1,1,0,1,2,0,1,0,1,0,0,1,1,1,2,0,0,1
0,0,1,0,0,1,1,2,1,0,2,1,0,2,1,1,0,0,1,1,0,2,1
1,0,1,0,1,1,1,0,2,1,0,2,0,0,1,1,0,0,1,2,1,0,2
2,0,1,0,2,1,1,1,0,2,1,0,0,1,1,1,0,0,1,0,2,1,0
0,0,1,1,1,0,1,2,0,2,1,0,1,2,0,1,0,1,0,2,1,0,1
1,0,1,1,2,0,1,0,1,0,2,1,1,0,0,1,0,1,0,0,2,1,2
2,0,1,1,0,0,1,1,2,1,0,2,1,1,0,1,0,1,0,1,0,2,0
0,0,1,1,1,1,0,2,1,0,0,2,1,1,1,0,1,0,0,2,2,1,0
1,0,1,1,2,1,0,0,2,1,1,0,1,2,1,0,1,0,0,0,0,2,1
2,0,1,1,0,1,0,1,0,2,2,1,1,0,1,0,1,0,0,1,1,0,2
0,1,0,1,1,1,0,0,2,2,2,0,0,1,1,1,0,1,0,1,0,1,2
1,1,0,1,2,1,0,1,0,0,0,1,0,2,1,1,0,1,0,2,1,2,0
2,1,0,1,0,1,0,2,1,1,1,2,0,0,1,1,0,1,0,0,2,0,1
0,1,0,1,1,0,1,1,2,2,0,1,1,0,1,0,0,0,1,0,2,2,1
1,1,0,1,2,0,1,2,0,0,1,2,1,1,1,0,0,0,1,1,0,0,2
2,1,0,1,0,0,1,0,1,1,2,0,1,2,1,0,0,0,1,2,1,1,0
0,1,0,0,2,1,1,1,0,1,2,2,1,0,0,1,1,0,0,2,0,1,1
1,1,0,0,0,1,1,2,1,2,0,0,1,1,0,1,1,0,0,0,1,2,2
2,1,0,0,1,1,1,0,2,0,1,1,1,2,0,1,1,0,0,1,2,0,0
0,1,1,1,2,0,0,1,1,1,0,0,0,2,0,1,1,0,1,1,2,0,2
1,1,1,1,0,0,0,2,2,2,1,1,0,0,0,1,1,0,1,2,0,1,0
2,1,1,1,1,0,0,0,0,0,2,2,0,1,0,1,1,0,1,0,1,2,1
0,1,1,0,2,1,0,2,2,1,2,1,1,1,0,0,0,1,1,0,1,0,0
1,1,1,0,0,1,0,0,0,2,0,2,1,2,0,0,0,1,1,1,2,1,1
2,1,1,0,1,1,0,1,1,0,1,0,1,0,0,0,0,1,1,2,0,2,2
0,1,1,0,2,0,1,0,1,2,1,2,0,0,1,0,1,1,0,1,1,2,0
1,1,1,0,0,0,1,1,2,0,2,0,0,1,1,0,1,1,0,2,2,0,1
2,1,1,0,1,0,1,2,0,1,0,1,0,2,1,0,1,1,0,0,0,1,2

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

4
oa_without_exp.csv
View File

@ -1,2 +1,2 @@
X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
X1,X2,X3,X4,X5,X6,X7,X8,X9,X10
0,0,0,0,0,0,0,0,0,0

1 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

11
orm.py
View File

@ -55,20 +55,15 @@ class Experiment(Base):
g_bom = Column(Text(4294000000), nullable=False)
n_max_trial = Column(Integer, nullable=False)
firm_req_prf_size = Column(Boolean, nullable=False)
firm_req_prf_conn = Column(Boolean, nullable=False)
prf_size = Column(Boolean, nullable=False)
prf_conn = Column(Boolean, nullable=False)
cap_limit_prob_type = Column(String(16), nullable=False)
cap_limit_level = Column(DECIMAL(8, 4), nullable=False)
firm_acc_prf_size = Column(Boolean, nullable=False)
firm_acc_prf_conn = Column(Boolean, nullable=False)
diff_new_conn = Column(DECIMAL(8, 4), nullable=False)
crit_supplier = Column(DECIMAL(8, 4), nullable=False)
diff_remove = Column(DECIMAL(8, 4), nullable=False)
proactive_ratio = Column(DECIMAL(8, 4), nullable=False)
netw_sply_prf_n = Column(Integer, nullable=False)
netw_sply_prf_size = Column(Boolean, nullable=False)
netw_cust_prf_n = Column(Integer, nullable=False)
netw_cust_prf_size = Column(Boolean, nullable=False)
netw_prf_n = Column(Integer, nullable=False)
sample = relationship(
'Sample', back_populates='experiment', lazy='dynamic')

8
xv_with_exp.csv
View File

@ -1,4 +1,4 @@
n_max_trial,firm_req_prf_size,firm_req_prf_conn,cap_limit_prob_type,cap_limit_level,firm_acc_prf_size,firm_acc_prf_conn,diff_new_conn,crit_supplier,diff_remove,proactive_ratio,netw_sply_prf_n,netw_sply_prf_size,netw_cust_prf_n,netw_cust_prf_size
15,TRUE,TRUE,uniform,5,TRUE,TRUE,0.3,2,0.5,0.3,3,TRUE,3,TRUE
10,FALSE,FALSE,normal,10,FALSE,FALSE,0.5,1,1,0.5,2,FALSE,2,FALSE
5,,,,15,,,0.7,0.5,2,0.7,1,,1,
n_max_trial,prf_size,prf_conn,cap_limit_prob_type,cap_limit_level,diff_new_conn,crit_supplier,diff_remove,proactive_ratio,netw_prf_n
15,TRUE,TRUE,uniform,5,0.3,2,0.5,0.3,3
10,FALSE,FALSE,normal,10,0.5,1,1,0.5,2
5,,,,15,0.7,0.5,2,0.7,1

1 n_max_trial firm_req_prf_size prf_size firm_req_prf_conn prf_conn cap_limit_prob_type cap_limit_level firm_acc_prf_size diff_new_conn firm_acc_prf_conn crit_supplier diff_remove proactive_ratio netw_prf_n netw_sply_prf_n netw_sply_prf_size netw_cust_prf_n netw_cust_prf_size
2 15 TRUE TRUE TRUE TRUE uniform 5 TRUE 0.3 TRUE 2 0.5 0.3 3 3 TRUE 3 TRUE
3 10 FALSE FALSE FALSE FALSE normal 10 FALSE 0.5 FALSE 1 1 0.5 2 2 FALSE 2 FALSE
4 5 15 0.7 0.5 2 0.7 1 1 1

4
xv_without_exp.csv
View File

@ -1,2 +1,2 @@
n_max_trial,firm_req_prf_size,firm_req_prf_conn,cap_limit_prob_type,cap_limit_level,firm_acc_prf_size,firm_acc_prf_conn,diff_new_conn,crit_supplier,diff_remove,proactive_ratio,netw_sply_prf_n,netw_sply_prf_size,netw_cust_prf_n,netw_cust_prf_size
10,TRUE,TRUE,uniform,10,TRUE,TRUE,0.5,1,1,0,2,TRUE,2,TRUE
n_max_trial,prf_size,prf_conn,cap_limit_prob_type,cap_limit_level,diff_new_conn,crit_supplier,diff_remove,proactive_ratio,netw_prf_n
10,TRUE,TRUE,uniform,10,0.5,1,1,0,2

1 n_max_trial firm_req_prf_size prf_size firm_req_prf_conn prf_conn cap_limit_prob_type cap_limit_level firm_acc_prf_size diff_new_conn firm_acc_prf_conn crit_supplier diff_remove proactive_ratio netw_prf_n netw_sply_prf_n netw_sply_prf_size netw_cust_prf_n netw_cust_prf_size
2 10 TRUE TRUE TRUE TRUE uniform 10 TRUE 0.5 TRUE 1 1 0 2 2 TRUE 2 TRUE