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SongQi 2023-01-15 21:51:47 +08:00
parent 62e3360f65
commit dba7e9882a
4 changed files with 32 additions and 30 deletions
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2
.idea/.name
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@ -1 +1 @@
worker.py
env.py

44
env.py
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@ -40,7 +40,7 @@ class Env(ap.Model):
# 工人、企业列表
self.a_lst_worker = ap.AgentList(self)
self.a_lst_firm = ap.AgentList(self)
self.e_revenue = 1193e+7
self.e_revenue = 5815100000000
# 在工人列表中添加工人
for i in range(self.n_worker):
@ -51,7 +51,7 @@ class Env(ap.Model):
# 在企业列表中添加企业，放入一个is_RH_ratio, 即有多大比例的企业是属于RH类型的
for i in range(self.n_firm):
# 对于企业属性true or false 的判断， 影响到firm 板块下， self.s_IsRH = is_RH 语句的判断
f = FirmAgent(self, self.p.is_RH_ratio >= uniform(0, 1))
f = FirmAgent(self, self.p.is_RH_ratio >= uniform(0, 1), self.p.is_FH_ratio >= uniform(0, 1))
self.a_lst_firm.append(f)
def update_e_revenue(self):
@ -114,14 +114,24 @@ class Env(ap.Model):
n_bankrupt_firms = 0
for f in self.a_lst_firm:
if f.s_value < 0:
# 两种方式，第一种是直接淘汰企业（此处设定为清空企业员工，清空企业利润值和价值，相当于重新添加了一个新的企业？）
# 直接淘汰企业（此处设定为清空企业员工，清空企业利润值和价值，相当于重新添加了一个新的企业？）
n_bankrupt_firms += 1
# for work in f.l_senior_workers:
# work.s_is_hired = False
# for work in f.l_junior_workers:
# work.s_is_hired = False
# f.s_profit = 0
# f.s_value = 0
for work in f.l_senior_workers:
work.s_is_hired = False
for work in f.l_junior_workers:
work.s_is_hired = False
f.s_profit = 0
f.s_value = 0
else:
if f.s_profit < 0:
if f.s_IsFH:
# 第一种方式，末位淘汰制，淘汰所有员工中生产价值最低的
f.l_junior_workers.sort(key=lambda x: x['s_yield'], reverse=True)
for work in f.l_junior_workers:
# f.l_junior_workers.sort(key=lambda x: x['s_yield'], reverse=True)
if work == f.l_junior_workers[-1]:
work.s_is_hired = False
else:
# 第二种方式，末位淘汰制，淘汰所有员工中单位产值(产值/工资)价值最低的
f.l_all_w = f.l_junior_workers + f.l_senior_workers
for work in f.l_all_w:
@ -129,17 +139,6 @@ class Env(ap.Model):
f.l_all_w.sort(key=lambda x: x['unit_yield_salary'], reverse=True)
if work == f.l_all_w[-1]:
work.s_is_hired = False
# 第二种方式，末位淘汰制，淘汰所有员工中生产价值最低的
# f.l_junior_workers.sort(key=lambda x: x['s_yield'], reverse=True)
# for work in f.l_junior_workers:
# # f.l_junior_workers.sort(key=lambda x: x['s_yield'], reverse=True)
# if work == f.l_junior_workers[-1]:
# work.s_is_hired = False
# for f in self.a_lst_firm:
# if f.s_profit < 0: # TODO
# n_bankrupt_firms += 1
@ -222,12 +221,13 @@ if __name__ == '__main__':
# plt.show()
parameters = {
'n_worker': 500,
'n_firm': 10,
'n_worker': 1000,
'n_firm': 100,
'percent_search': 0.2,
'alpha': 0.5,
# 'alpha': ap.Range(0, 1, 0.5),
'is_RH_ratio': 0.5,
'is_FH_ratio': 0.5,
}
sample = ap.Sample(parameters)
# sample = ap.Sample(parameters, n=3)

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env_data.xlsx
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4
firm.py
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@ -15,6 +15,7 @@ if TYPE_CHECKING:
class FirmAgent(ap.Agent):
c_incentive: float
s_IsRH: bool
s_IsFH: bool
s_avg_senior_yield: float
s_avg_junior_yield: float
s_a_yield: float
@ -32,13 +33,14 @@ class FirmAgent(ap.Agent):
# super().__init__(model, args, kwargs)
# self.l_all_workers = None
def setup(self, is_RH):
def setup(self, is_RH, is_FH):
self.c_incentive = uniform(0, 1)
# self.s_profit = randint(10, 20)
self.l_senior_workers, self.l_junior_workers = [], []
self.l_all_workers = []
self.l_applied_workers = []
self.s_IsRH = is_RH
self.s_IsFH = is_FH
self.initial_f_salary = randint(8000, 10000)
self.s_profit = 0
self.s_value = 0