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

generate network based on size or not

This commit is contained in:
HaoYizhi 2023-06-11 13:33:39 +08:00
parent 6d43865f79
commit 48077189f0
7 changed files with 42 additions and 30 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

BIN
__pycache__/controller_db.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.

60
model.py
View File

@ -20,9 +20,9 @@ class Model(ap.Model):
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.flt_netw_sply_prf_size = float(self.p.netw_sply_prf_size)
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.flt_netw_cust_prf_size = float(self.p.netw_cust_prf_size)
self.is_netw_cust_prf_size = bool(self.p.netw_cust_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)
@ -80,21 +80,26 @@ class Model(ap.Model):
# get a list of firm producing this component
lst_pred_firm = \
Firm['Code'][Firm[pred_product_code] == 1].to_list()
lst_pred_firm_size_damp = \
[G_Firm.nodes[pred_firm]['Revenue_Log'] **
self.flt_netw_sply_prf_size
for pred_firm in lst_pred_firm]
lst_prob = \
[size_damp / sum(lst_pred_firm_size_damp)
for size_damp in lst_pred_firm_size_damp]
# select multiple supplier (multi-sourcing)
n_pred_firm = self.int_netw_sply_prf_n
if n_pred_firm > len(lst_pred_firm):
n_pred_firm = len(lst_pred_firm)
lst_choose_firm = self.nprandom.choice(lst_pred_firm,
n_pred_firm,
replace=False,
p=lst_prob)
# based on size or not
if self.is_netw_sply_prf_size:
lst_pred_firm_size = \
[G_Firm.nodes[pred_firm]['Revenue_Log']
for pred_firm in lst_pred_firm]
lst_prob = \
[size / sum(lst_pred_firm_size)
for size in lst_pred_firm_size]
lst_choose_firm = self.nprandom.choice(lst_pred_firm,
n_pred_firm,
replace=False,
p=lst_prob)
else:
lst_choose_firm = self.nprandom.choice(lst_pred_firm,
n_pred_firm,
replace=False)
lst_add_edge = [(pred_firm, node,
{'Product': pred_product_code})
for pred_firm in lst_choose_firm]
@ -141,21 +146,28 @@ class Model(ap.Model):
# get a list of firm producing this finished product
lst_succ_firm = Firm['Code'][
Firm[succ_product_code] == 1].to_list()
lst_succ_firm_size_damp = \
[G_Firm.nodes[succ_firm]['Revenue_Log'] **
self.flt_netw_cust_prf_size
for succ_firm in lst_succ_firm]
lst_prob = \
[size_damp / sum(lst_succ_firm_size_damp)
for size_damp in lst_succ_firm_size_damp]
# select multiple customer (multi-selling)
n_succ_firm = self.int_netw_cust_prf_n
if n_succ_firm > len(lst_succ_firm):
n_succ_firm = len(lst_succ_firm)
lst_choose_firm = self.nprandom.choice(lst_succ_firm,
n_succ_firm,
replace=False,
p=lst_prob)
# based on size or not
if self.is_netw_cust_prf_size:
lst_succ_firm_size = \
[G_Firm.nodes[succ_firm]['Revenue_Log']
for succ_firm in lst_succ_firm]
lst_prob = \
[size / sum(lst_succ_firm_size)
for size in lst_succ_firm_size]
lst_choose_firm = \
self.nprandom.choice(lst_succ_firm,
n_succ_firm,
replace=False,
p=lst_prob)
else:
lst_choose_firm = \
self.nprandom.choice(lst_succ_firm,
n_succ_firm,
replace=False)
lst_add_edge = [(node, succ_firm,
{'Product': product_code})
for succ_firm in lst_choose_firm]

4
orm.py
View File

@ -61,9 +61,9 @@ class Experiment(Base):
firm_acc_prf_size = Column(DECIMAL(8, 4), nullable=False)
firm_acc_prf_conn = Column(Boolean, nullable=False)
netw_sply_prf_n = Column(Integer, nullable=False)
netw_sply_prf_size = Column(DECIMAL(8, 4), nullable=False)
netw_sply_prf_size = Column(Boolean, nullable=False)
netw_cust_prf_n = Column(Integer, nullable=False)
netw_cust_prf_size = Column(DECIMAL(8, 4), nullable=False)
netw_cust_prf_size = Column(Boolean, nullable=False)
cap_limit_prob_type = Column(String(16), nullable=False)
cap_limit_level = Column(DECIMAL(8, 4), nullable=False)
diff_new_conn = Column(DECIMAL(8, 4), nullable=False)

6
xv_with_exp.csv
View File

@ -1,4 +1,4 @@
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,cap_limit_prob_type,cap_limit_level,diff_new_conn,diff_remove,proactive_ratio
15,2,2,TRUE,2,TRUE,3,2,3,2,uniform,5,0.5,0.5,0.4
10,1,1,FALSE,1,FALSE,2,1,2,1,normal,10,1,1,0.6
5,0.5,0.5,,0.5,,1,0.5,1,0.5,,15,2,2,0.8
15,2,2,TRUE,2,TRUE,3,TRUE,3,TRUE,uniform,5,0.5,0.5,0.4
10,1,1,FALSE,1,FALSE,2,FALSE,2,FALSE,normal,10,1,1,0.6
5,0.5,0.5,,0.5,,1,,1,,,15,2,2,0.8

1 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 cap_limit_prob_type cap_limit_level diff_new_conn diff_remove proactive_ratio
2 15 2 2 TRUE 2 TRUE 3 2 TRUE 3 2 TRUE uniform 5 0.5 0.5 0.4
3 10 1 1 FALSE 1 FALSE 2 1 FALSE 2 1 FALSE normal 10 1 1 0.6
4 5 0.5 0.5 0.5 1 0.5 1 0.5 15 2 2 0.8

2
xv_without_exp.csv
View File

@ -1,2 +1,2 @@
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,cap_limit_prob_type,cap_limit_level,diff_new_conn,diff_remove,proactive_ratio
10,1,1,TRUE,1,TRUE,2,1,2,1,uniform,10,1,1,0.9
10,1,1,TRUE,1,TRUE,2,TRUE,2,TRUE,uniform,10,1,1,0.9

1 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 cap_limit_prob_type cap_limit_level diff_new_conn diff_remove proactive_ratio
2 10 1 1 TRUE 1 TRUE 2 1 TRUE 2 1 TRUE uniform 10 1 1 0.9