After code review. Fig produced.
This commit is contained in:
parent
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<?xml version="1.0" encoding="UTF-8"?>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8 (salary02)" project-jdk-type="Python SDK" />
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9 (abm) (3)" project-jdk-type="Python SDK" />
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</project>
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</project>
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@ -2,7 +2,7 @@
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<project version="4">
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<project version="4">
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<component name="ProjectModuleManager">
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<component name="ProjectModuleManager">
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<modules>
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/hire.iml" filepath="$PROJECT_DIR$/.idea/hire.iml" />
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<module fileurl="file://$PROJECT_DIR$/.idea/salary02.iml" filepath="$PROJECT_DIR$/.idea/salary02.iml" />
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</modules>
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</modules>
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</component>
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</component>
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</project>
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</project>
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@ -4,7 +4,7 @@
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<content url="file://$MODULE_DIR$">
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<content url="file://$MODULE_DIR$">
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<excludeFolder url="file://$MODULE_DIR$/venv" />
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<excludeFolder url="file://$MODULE_DIR$/venv" />
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</content>
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</content>
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<orderEntry type="jdk" jdkName="Python 3.8 (salary02)" jdkType="Python SDK" />
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<orderEntry type="jdk" jdkName="Python 3.9 (abm) (3)" jdkType="Python SDK" />
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<orderEntry type="sourceFolder" forTests="false" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</component>
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</module>
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</module>
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@ -1,10 +1,11 @@
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import numpy as np
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import numpy as np
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import pandas as pd
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import pandas as pd
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import matplotlib.pyplot as plt
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num_time_step = 200
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num_time_step = 200
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num_iter = 10
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num_iter = 10
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env_data = pd.DataFrame(pd.read_excel('env_data.xlsx', engine='openpyxl'))
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env_data = pd.DataFrame(pd.read_excel('env_data.xlsx', engine='openpyxl', sheet_name=0))
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assert env_data.shape[0] == num_iter * (num_time_step + 1)
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assert env_data.shape[0] == num_iter * (num_time_step + 1)
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@ -12,16 +13,16 @@ lst_df = []
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for i in range(num_iter):
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for i in range(num_iter):
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df_tmp = env_data.iloc[i * (num_time_step + 1): (i + 1) * (num_time_step + 1), 1:]
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df_tmp = env_data.iloc[i * (num_time_step + 1): (i + 1) * (num_time_step + 1), 1:]
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lst_df.append(df_tmp)
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lst_df.append(df_tmp)
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# df_tmp = env_data.iloc[1: 21]
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# lst_df.append(df_tmp)
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lst_column = lst_df[0].columns[1:]
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x = np.array(env_data[['t']])
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for str_col in lst_column:
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y = np.array(env_data[['out_w_avg_salary']])
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x = np.arange(num_time_step+1)
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for df in lst_df:
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import matplotlib.pyplot as plt
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y = np.array(df[str_col]).flatten()
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plt.xlabel('t')
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plt.xlabel('t')
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plt.ylabel(str_col)
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plt.ylabel('out_w_avg_salary')
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plt.plot(x, y)
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plt.plot(x, y)
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# plt.show()
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plt.show()
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# plt.close()
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plt.savefig(f'{str_col}.pdf', bbox_inches="tight")
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89
env.py
89
env.py
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@ -3,27 +3,26 @@ import numpy as np
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from random import uniform
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from random import uniform
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import math
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import math
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from traits.trait_types import self
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from worker import WorkerAgent
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from worker import WorkerAgent
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from firm import FirmAgent
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from firm import FirmAgent
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# plt.ion()
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# plt.ion()
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class Env(ap.Model):
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class Env(ap.Model):
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float_market_size: float
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float_market_size: float
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percent_rh: float
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# percent_rh: float
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percent_search: float
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percent_search: float
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n_worker: int
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n_worker: int
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n_firm: int
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n_firm: int
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e_revenue: float
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e_revenue: float
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a_lst_worker: ap.AgentList
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a_lst_worker: ap.AgentList[WorkerAgent]
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a_lst_firm: ap.AgentList
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a_lst_firm: ap.AgentList[FirmAgent]
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"""
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"""
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Worker: Mean(s), Gini(s)
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Worker: Mean(s), Gini(s)
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Firm: Mean(($$\pi_{j,t}$$)), Gini($$\pi_{j,t}$$)
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Firm: Mean((pi_{j,t})), Gini(pi_{j,t})
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Env: Percent(IsHired)
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Env: Percent(IsHired)
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"""
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"""
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out_w_avg_salary: float
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out_w_avg_salary: float
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@ -44,7 +43,7 @@ class Env(ap.Model):
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# 在工人列表中添加工人
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# 在工人列表中添加工人
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for i in range(self.n_worker):
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for i in range(self.n_worker):
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# 初始化 workeragent,并把alpha属性传过去
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# 初始化 worker agent,并把alpha属性传过去
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w = WorkerAgent(self, self.p.alpha)
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w = WorkerAgent(self, self.p.alpha)
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self.a_lst_worker.append(w)
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self.a_lst_worker.append(w)
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@ -74,13 +73,15 @@ class Env(ap.Model):
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self.create_and_destroy_bankrupt_firms()
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self.create_and_destroy_bankrupt_firms()
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self.a_lst_worker.update_wd_by_is_hired()
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# self.picture_out()
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# self.picture_out()
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self.update()
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self.update()
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if self.t == 200:
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if self.t == 200:
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self.stop()
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self.stop()
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# self.picture_out()
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# self.picture_out()
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pass
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# pass
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def update(self):
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def update(self):
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lst_salary = []
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lst_salary = []
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self.out_w_gini_salary = self.gini(lst_salary)
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self.out_w_gini_salary = self.gini(lst_salary)
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lst_profit = []
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lst_profit = []
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n_w_firm = 0
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# n_w_firm = 0
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for f in self.a_lst_firm:
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for f in self.a_lst_firm:
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lst_profit.append(f.s_profit)
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lst_profit.append(f.s_profit)
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if f.s_profit > 0:
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# if f.s_profit > 0:
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n_w_firm += 1
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# n_w_firm += 1
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n_firms = len(lst_profit)
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n_firms = len(lst_profit)
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self.out_f_avg_profit = sum(lst_profit) / n_firms
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self.out_f_avg_profit = sum(lst_profit) / n_firms
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self.out_f_gini_profit = self.gini(lst_profit)
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self.out_f_gini_profit = self.gini(lst_profit)
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self.record('out_w_percent_hired')
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self.record('out_w_percent_hired')
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def create_and_destroy_bankrupt_firms(self):
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def create_and_destroy_bankrupt_firms(self):
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n_bankrupt_firms = 0
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for f in self.a_lst_firm:
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for f in self.a_lst_firm:
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if f.s_value < 0:
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if f.s_value < 0:
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# 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?)
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# 直接淘汰企业,并新增一个企业
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n_bankrupt_firms += 1
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for worker in f.l_senior_workers:
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for work in f.l_senior_workers:
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worker.s_is_hired = False
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work.s_is_hired = False
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worker.working_firm = None
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for work in f.l_junior_workers:
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for worker in f.l_junior_workers:
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work.s_is_hired = False
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worker.s_is_hired = False
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f.s_profit = 0
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worker.working_firm = None
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f.s_value = 0
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self.a_lst_firm.remove(f)
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del f
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new_f = FirmAgent(self, self.p.is_RH_ratio >= uniform(0, 1), self.p.is_FH_ratio >= uniform(0, 1))
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self.a_lst_firm.append(new_f)
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else:
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else:
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if f.s_profit < 0:
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if f.s_profit < 0:
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if f.s_IsFH:
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# 第一种方式,末位淘汰制,淘汰所有员工中生产价值最低的
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f.l_junior_workers.sort(key=lambda x: x['s_yield'], reverse=True)
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for work in f.l_junior_workers:
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# f.l_junior_workers.sort(key=lambda x: x['s_yield'], reverse=True)
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if work == f.l_junior_workers[-1]:
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work.s_is_hired = False
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else:
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# 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
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f.l_all_w = f.l_junior_workers + f.l_senior_workers
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f.l_all_w = f.l_junior_workers + f.l_senior_workers
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for work in f.l_all_w:
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min_unit_yield_salary, worst_worker = float('inf'), None
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work.unit_yield_salary = work.s_yield * 10000 / work.s_salary
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for worker in f.l_all_w:
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f.l_all_w.sort(key=lambda x: x['unit_yield_salary'], reverse=True)
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unit_yield_salary = worker.s_yield if f.s_IsFH else worker.s_yield * 10000 / worker.s_salary
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if work == f.l_all_w[-1]:
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if unit_yield_salary < min_unit_yield_salary:
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work.s_is_hired = False
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min_unit_yield_salary = unit_yield_salary
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# for f in self.a_lst_firm:
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worst_worker = worker
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# if f.s_profit < 0: # TODO
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worst_worker.s_is_hired = False
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# n_bankrupt_firms += 1
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worst_worker.working_firm = None
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# for work in f.l_senior_workers:
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# work.s_is_hired = False
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# for work in f.l_junior_workers:
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# work.s_is_hired = False
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# self.a_lst_firm.remove(f)
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# del f
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# if n_bankrupt_firms > 0:
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# for _ in range(n_bankrupt_firms):
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# f = FirmAgent(self, self.p.is_RH_ratio >= uniform(0, 1))
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# self.a_lst_firm.append(f)
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assert len(self.a_lst_firm) == self.n_firm, \
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assert len(self.a_lst_firm) == self.n_firm, \
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f'current num firm {len(self.a_lst_firm)} != expected num firm {self.n_firm}'
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f'current num firm {len(self.a_lst_firm)} != expected num firm {self.n_firm}'
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def provide_lst_random_firms(self, the_worker: WorkerAgent):
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def provide_lst_random_firms(self, the_worker: WorkerAgent):
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'''选择企业数量 = 企业总数*百分比
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"""
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选择企业数量 = 企业总数*百分比
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选择企业的列表 = 随机选择的企业的个数
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选择企业的列表 = 随机选择的企业的个数
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如果员工处于被雇佣的状态:
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如果员工处于被雇佣的状态:
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如果员工工作的企业在随机选定的企业列表中
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如果员工工作的企业在随机选定的企业列表中
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返回值:移除后,再重新选择随机选择企业
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返回值:移除后,再重新选择随机选择企业
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否则:
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否则:
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返回值:选择企业列表
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返回值:选择企业列表
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'''
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"""
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n_select_firms = int(self.percent_search * self.n_firm)
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n_select_firms = int(self.percent_search * self.n_firm)
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a_lst_select_firms = self.a_lst_firm.random(n_select_firms)
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a_lst_select_firms = self.a_lst_firm.random(n_select_firms)
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if the_worker.s_is_hired:
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if the_worker.s_is_hired:
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@staticmethod
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@staticmethod
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def gini(x):
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def gini(x):
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x = [ele for ele in x if ele > 0]
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if len(x) == 0:
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if len(x) == 0:
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return 0
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return 0
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if sum(x) == 0:
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if sum(x) == 0:
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parameters = {
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parameters = {
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'n_worker': 1000,
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'n_worker': 1000,
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'n_firm': 100,
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'n_firm': 100,
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'percent_search': 0.2,
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'alpha': 0.5,
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'alpha': 0.5,
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# 'alpha': ap.Range(0, 1, 0.5),
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'percent_search': 0.2,
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'is_RH_ratio': 0.5,
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'is_RH_ratio': 0.5,
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'is_FH_ratio': 0.5,
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'is_FH_ratio': 0.5,
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}
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}
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exp = ap.Experiment(Env, sample, iterations=10, record=True)
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exp = ap.Experiment(Env, sample, iterations=10, record=True)
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results = exp.run()
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results = exp.run()
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results['variables']['Env'].to_excel('env_data.xlsx', engine='openpyxl')
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results['variables']['Env'].to_excel('env_data.xlsx', engine='openpyxl')
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BIN
env_data.xlsx
BIN
env_data.xlsx
Binary file not shown.
86
firm.py
86
firm.py
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@ -1,46 +1,42 @@
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import math
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import math
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from typing import Union, Any
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# from typing import Union, Any
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import agentpy as ap
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import agentpy as ap
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from random import uniform, randint
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from random import uniform, randint
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from typing import TYPE_CHECKING
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# from typing import TYPE_CHECKING
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import numpy as np
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# import numpy as np
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if TYPE_CHECKING:
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# if TYPE_CHECKING:
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from worker import WorkerAgent
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# from worker import WorkerAgent
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class FirmAgent(ap.Agent):
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class FirmAgent(ap.Agent):
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c_incentive: float
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c_incentive: float
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s_IsRH: bool
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s_IsRH: bool
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s_IsFH: bool
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s_IsFH: bool
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s_avg_senior_yield: float
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s_avg_senior_yield: float # updated in self.update_yields
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s_avg_junior_yield: float
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s_avg_junior_yield: float # updated in self.update_yields
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s_a_yield: float
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s_a_yield: float # updated in self.update_yields
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# s_salary: float
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# s_salary: float
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initial_f_salary: float
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initial_f_salary: float
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s_revenue: float
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s_revenue: float # updated in env.provide_logit_share
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s_profit: float
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s_profit: float # updated in self.update_s_profit
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s_value: float
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s_value: float # updated in self.update_s_profit
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firing_worker: 'WorkerAgent'
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# firing_worker: 'WorkerAgent'
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l_senior_workers: list
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l_senior_workers: list # updated in self.update_two_worker_list
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l_junior_workers: list
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l_junior_workers: list # updated in self.update_two_worker_list
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l_applied_workers: list
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l_applied_workers: list # updated in self.apply, self.empty_apply
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# def __init__(self, model, *args, **kwargs):
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def setup(self, is_rh, is_fh):
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# super().__init__(model, args, kwargs)
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# self.l_all_workers = None
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def setup(self, is_RH, is_FH):
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self.c_incentive = uniform(0, 1)
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self.c_incentive = uniform(0, 1)
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# self.s_profit = randint(10, 20)
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# self.s_profit = randint(10, 20)
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self.l_senior_workers, self.l_junior_workers = [], []
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self.l_senior_workers, self.l_junior_workers = [], []
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self.l_all_workers = []
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# self.l_all_workers = []
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self.l_applied_workers = []
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self.l_applied_workers = []
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self.s_IsRH = is_RH
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self.s_IsRH = is_rh
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self.s_IsFH = is_FH
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self.s_IsFH = is_fh
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self.initial_f_salary = randint(8000, 10000)
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self.initial_f_salary = randint(8000, 10000)
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self.s_profit = 0
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self.s_profit = 0
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self.s_value = 0
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self.s_value = 0
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||||||
|
@ -52,13 +48,13 @@ class FirmAgent(ap.Agent):
|
||||||
self.l_applied_workers = []
|
self.l_applied_workers = []
|
||||||
|
|
||||||
def select_worker(self):
|
def select_worker(self):
|
||||||
'''
|
"""
|
||||||
企业找到最想招聘的员工
|
企业找到最想招聘的员工
|
||||||
:return:
|
:return:
|
||||||
'''
|
"""
|
||||||
n_workers = len(self.l_applied_workers)
|
n_workers = len(self.l_applied_workers)
|
||||||
if n_workers > 0:
|
if n_workers > 0:
|
||||||
selected_worker = None
|
# selected_worker = None
|
||||||
if n_workers > 1:
|
if n_workers > 1:
|
||||||
# 对员工产出进行排队和比较
|
# 对员工产出进行排队和比较
|
||||||
# 先判断是什么选择方式
|
# 先判断是什么选择方式
|
||||||
|
@ -70,35 +66,21 @@ class FirmAgent(ap.Agent):
|
||||||
best_worker = the_worker
|
best_worker = the_worker
|
||||||
selected_worker = best_worker
|
selected_worker = best_worker
|
||||||
else:
|
else:
|
||||||
# selected_worker = self.l_applied_workers[0] # TODO
|
# selected_worker = self.l_applied_workers[0]
|
||||||
# 加入worker进入到某个企业,企业更新了自己的利润,利润差值作为该名员工能带来的单位利润,排序利润
|
# 加入worker进入到某个企业,企业更新了自己的利润,利润差值作为该名员工能带来的单位利润,排序利润
|
||||||
# 但是代码中对于员工产出是(0,1)值,需要先更新员工所在列表,然后更新企业产出、利润、工资总额,再用假设利润-上期利润
|
# 但是代码中对于员工产出是(0,1)值,需要先更新员工所在列表,然后更新企业产出、利润、工资总额,再用假设利润-上期利润
|
||||||
# 问题是,当期的估算不能考虑到有员工会在下一期离指的问题,或许考虑换成?max_单位产出成本?
|
# 问题是,当期的估算不能考虑到有员工会在下一期离指的问题,或许考虑换成?max_单位产出成本?
|
||||||
max_unit_yield_salary, p_salary, best_worker= 0.0,0.0, None
|
max_unit_yield_salary, p_salary, best_worker = 0.0, 0.0, None
|
||||||
for the_worker in self.l_applied_workers:
|
for the_worker in self.l_applied_workers:
|
||||||
if the_worker.s_salary == 0:
|
if the_worker.s_salary == 0:
|
||||||
the_worker.p_salary = self.initial_f_salary
|
p_salary = self.initial_f_salary
|
||||||
else:
|
else:
|
||||||
the_worker.p_salary = the_worker.s_salary*(1+self.c_incentive)
|
p_salary = the_worker.s_salary * (1 + self.c_incentive)
|
||||||
the_worker.unit_yield_salary = the_worker.s_yield * 10000 / the_worker.p_salary
|
unit_yield_salary = the_worker.s_yield * 10000 / p_salary
|
||||||
if the_worker.unit_yield_salary > max_unit_yield_salary:
|
if unit_yield_salary > max_unit_yield_salary:
|
||||||
max_unit_yield_salary = the_worker.unit_yield_salary
|
max_unit_yield_salary = unit_yield_salary
|
||||||
best_worker = the_worker
|
best_worker = the_worker
|
||||||
selected_worker = best_worker
|
selected_worker = best_worker
|
||||||
# print(f'{self}: my best firm is {best_firm} from {n_firms} firms with utility {max_utility}')
|
|
||||||
# return best_worker
|
|
||||||
# 当企业是想要利用产出最高的员工时,从申请的员工中选出产出最高的员工
|
|
||||||
# if self.s_IsRH :
|
|
||||||
# # 计算该名员工的工资水平: 原有工资水平* (1+incentive)
|
|
||||||
# # bw_salary = self.best_worker.salary()
|
|
||||||
#
|
|
||||||
# # 将该名员工的产出与公司原有员工的产出进行对比,如果高于senior列表中的最后一名的产出,就进入senior_list, 否则进入junior_list
|
|
||||||
# self.l_senior_workers.append(best_worker)
|
|
||||||
# else:
|
|
||||||
# self.l_junior_workers.append(best_worker)
|
|
||||||
# # best_worker.apply(self)
|
|
||||||
# else:
|
|
||||||
# # 计算由于改名员工下一期的薪资总数(根据薪资函数更新)以及企业下一期的利润的差值,并选出最大值
|
|
||||||
else:
|
else:
|
||||||
selected_worker = self.l_applied_workers[0]
|
selected_worker = self.l_applied_workers[0]
|
||||||
selected_worker.update_working_firm_is_hired(self)
|
selected_worker.update_working_firm_is_hired(self)
|
||||||
|
@ -106,7 +88,7 @@ class FirmAgent(ap.Agent):
|
||||||
|
|
||||||
def update_two_worker_list(self, new_worker):
|
def update_two_worker_list(self, new_worker):
|
||||||
lst_all_worker = self.l_senior_workers + self.l_junior_workers + [new_worker]
|
lst_all_worker = self.l_senior_workers + self.l_junior_workers + [new_worker]
|
||||||
lst_all_worker.sort(key=lambda x: x['s_yield'], reverse=True) # from highest yield to lowest
|
lst_all_worker.sort(key=lambda x: x['s_yield'], reverse=True) # from the highest yield to lowest
|
||||||
n_all_worker = len(lst_all_worker)
|
n_all_worker = len(lst_all_worker)
|
||||||
# 向上取整数值
|
# 向上取整数值
|
||||||
n_senior_worker = math.ceil(n_all_worker * 0.2)
|
n_senior_worker = math.ceil(n_all_worker * 0.2)
|
||||||
|
@ -142,9 +124,9 @@ class FirmAgent(ap.Agent):
|
||||||
self.s_a_yield = 0.8 * self.s_avg_senior_yield + 0.2 * self.s_avg_junior_yield
|
self.s_a_yield = 0.8 * self.s_avg_senior_yield + 0.2 * self.s_avg_junior_yield
|
||||||
|
|
||||||
def get_sum_salary(self):
|
def get_sum_salary(self):
|
||||||
'''
|
"""
|
||||||
计算某公司整体的薪金水平
|
计算某公司整体的薪金水平
|
||||||
'''
|
"""
|
||||||
l_all_workers = self.l_senior_workers + self.l_junior_workers
|
l_all_workers = self.l_senior_workers + self.l_junior_workers
|
||||||
sum_salary = 0.0
|
sum_salary = 0.0
|
||||||
for the_worker in l_all_workers:
|
for the_worker in l_all_workers:
|
||||||
|
@ -155,5 +137,5 @@ class FirmAgent(ap.Agent):
|
||||||
self.s_profit = self.s_revenue - self.get_sum_salary()
|
self.s_profit = self.s_revenue - self.get_sum_salary()
|
||||||
self.s_value += self.s_profit
|
self.s_value += self.s_profit
|
||||||
|
|
||||||
def step(self):
|
# def step(self):
|
||||||
pass
|
# pass
|
||||||
|
|
16
main.py
16
main.py
|
@ -1,16 +0,0 @@
|
||||||
# This is a sample Python script.
|
|
||||||
|
|
||||||
# Press Shift+F10 to execute it or replace it with your code.
|
|
||||||
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
|
|
||||||
|
|
||||||
|
|
||||||
def print_hi(name):
|
|
||||||
# Use a breakpoint in the code line below to debug your script.
|
|
||||||
print(f'Hi, {name}') # Press Ctrl+F8 to toggle the breakpoint.
|
|
||||||
|
|
||||||
|
|
||||||
# Press the green button in the gutter to run the script.
|
|
||||||
if __name__ == '__main__':
|
|
||||||
print_hi('PyCharm')
|
|
||||||
|
|
||||||
# See PyCharm help at https://www.jetbrains.com/help/pycharm/
|
|
|
@ -0,0 +1,25 @@
|
||||||
|
000000
|
||||||
|
011234
|
||||||
|
022341
|
||||||
|
033412
|
||||||
|
044123
|
||||||
|
101111
|
||||||
|
112403
|
||||||
|
124032
|
||||||
|
130324
|
||||||
|
143240
|
||||||
|
202222
|
||||||
|
214310
|
||||||
|
223104
|
||||||
|
231043
|
||||||
|
240431
|
||||||
|
303333
|
||||||
|
310142
|
||||||
|
321420
|
||||||
|
334201
|
||||||
|
342014
|
||||||
|
404444
|
||||||
|
413021
|
||||||
|
420213
|
||||||
|
432130
|
||||||
|
441302
|
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
62
worker.py
62
worker.py
|
@ -12,43 +12,33 @@ if TYPE_CHECKING:
|
||||||
|
|
||||||
|
|
||||||
class WorkerAgent(ap.Agent):
|
class WorkerAgent(ap.Agent):
|
||||||
select_firm: object
|
# select_firm: object
|
||||||
c_effort: float
|
c_effort: float # used in self.update_yield
|
||||||
s_is_hired: bool
|
s_is_hired: bool # updated in self.update_working_firm_is_hired, env.create_and_destroy_bankrupt_firms
|
||||||
# c_work_months: int
|
# c_work_months: int
|
||||||
s_work_duration: int
|
s_work_duration: int # updated in self.update_wd_by_is_hired
|
||||||
working_firm: 'FirmAgent'
|
working_firm: 'FirmAgent' # updated in self.update_working_firm_is_hired, env.create_and_destroy_bankrupt_firms
|
||||||
s_salary: float
|
s_salary: float # updated in self.update_salary
|
||||||
s_yield: float
|
s_yield: float # updated in self.update_yield
|
||||||
# s_w_applied: bool
|
# s_w_applied: bool
|
||||||
c_alpha: float
|
c_alpha: float
|
||||||
|
|
||||||
def setup(self, alpha):
|
def setup(self, alpha):
|
||||||
# super().__init__(unique_id, model)
|
|
||||||
# self.num_workers = 10000
|
|
||||||
self.c_effort = uniform(0, 1)
|
self.c_effort = uniform(0, 1)
|
||||||
# self.c_work_months = randint(0, 60)
|
|
||||||
self.s_is_hired = False
|
self.s_is_hired = False
|
||||||
self.s_work_duration = randint(0, 60)
|
self.s_work_duration = randint(30, 60)
|
||||||
self.c_alpha = alpha
|
self.c_alpha = alpha
|
||||||
self.update_yield()
|
self.update_yield()
|
||||||
|
|
||||||
self.s_salary = 0
|
self.s_salary = 0
|
||||||
|
|
||||||
# return
|
|
||||||
|
|
||||||
# def A_Utility(self, c_w_weight=0.5):
|
|
||||||
# a = np.exp(FirmAgent.c_f_incentive, c_w_weight)
|
|
||||||
# b = np.exp(FirmAgent.s_f_profit/max(FirmAgent.s_f_profit), 1-c_w_weight)
|
|
||||||
# self.select_firm = a * b
|
|
||||||
|
|
||||||
def select_firm(self):
|
def select_firm(self):
|
||||||
'''
|
"""
|
||||||
挑选出来的企业列表
|
挑选出来的企业列表
|
||||||
数量:列表的长度
|
数量:列表的长度
|
||||||
'''
|
"""
|
||||||
lst_firms = self.model.provide_lst_random_firms(self)
|
lst_firms = self.model.provide_lst_random_firms(self)
|
||||||
n_firms = len(lst_firms)
|
# n_firms = len(lst_firms)
|
||||||
# find the max incentive and profit among all firms
|
# find the max incentive and profit among all firms
|
||||||
max_incentive, max_value = 0, 0
|
max_incentive, max_value = 0, 0
|
||||||
for f in lst_firms:
|
for f in lst_firms:
|
||||||
|
@ -61,22 +51,14 @@ class WorkerAgent(ap.Agent):
|
||||||
return random.choice(lst_firms)
|
return random.choice(lst_firms)
|
||||||
max_utility, best_firm = 0, None
|
max_utility, best_firm = 0, None
|
||||||
for f in lst_firms:
|
for f in lst_firms:
|
||||||
if self.s_salary < f.s_profit * 1 / 10:
|
if self.s_salary < f.s_profit / 10:
|
||||||
u = math.pow(f.c_incentive / max_incentive, self.c_alpha) * math.pow(f.s_value / max_value,
|
u = math.pow(f.c_incentive / max_incentive, self.c_alpha) * math.pow(f.s_value / max_value,
|
||||||
1 - self.c_alpha)
|
1 - self.c_alpha)
|
||||||
if u > max_utility:
|
if u > max_utility:
|
||||||
max_utility = u
|
max_utility = u
|
||||||
best_firm = f
|
best_firm = f
|
||||||
# if self.s_salary < best_firm.s_profit * 5 / 100:
|
|
||||||
best_firm.apply(self)
|
best_firm.apply(self)
|
||||||
|
|
||||||
|
|
||||||
# print(f'{self}: my best firm is {best_firm} from {n_firms} firms with utility {max_utility}')
|
|
||||||
# 选出能够给自己带来最好的效用的企业,并输出/返回
|
|
||||||
# best_firm.apply(self)
|
|
||||||
# return best_firm
|
|
||||||
# self.update_wd_by_is_hired()
|
|
||||||
|
|
||||||
def update_wd_by_is_hired(self):
|
def update_wd_by_is_hired(self):
|
||||||
if self.s_is_hired:
|
if self.s_is_hired:
|
||||||
self.s_work_duration += 1
|
self.s_work_duration += 1
|
||||||
|
@ -84,22 +66,10 @@ class WorkerAgent(ap.Agent):
|
||||||
self.update_salary(self.working_firm)
|
self.update_salary(self.working_firm)
|
||||||
|
|
||||||
def update_salary(self, the_firm: 'FirmAgent'):
|
def update_salary(self, the_firm: 'FirmAgent'):
|
||||||
|
|
||||||
if self.s_salary == 0:
|
if self.s_salary == 0:
|
||||||
self.s_salary = the_firm.initial_f_salary
|
self.s_salary = the_firm.initial_f_salary
|
||||||
pass
|
|
||||||
else:
|
else:
|
||||||
if self.s_salary <= the_firm.s_profit*1/10:
|
self.s_salary = max(min(self.s_salary * (1 + the_firm.c_incentive), the_firm.s_profit / 10), self.s_salary)
|
||||||
if self.s_salary * (1 + the_firm.c_incentive) <= the_firm.s_profit*1/10:
|
|
||||||
self.s_salary = self.s_salary * (1 + the_firm.c_incentive)
|
|
||||||
pass
|
|
||||||
else:
|
|
||||||
self.s_salary = the_firm.s_profit*1/10
|
|
||||||
pass
|
|
||||||
pass
|
|
||||||
else:
|
|
||||||
self.s_salary = the_firm.s_profit*1/10
|
|
||||||
|
|
||||||
|
|
||||||
def update_yield(self):
|
def update_yield(self):
|
||||||
self.s_yield = 2 / (1 + math.exp(-0.01 * self.s_work_duration * self.c_effort)) - 1
|
self.s_yield = 2 / (1 + math.exp(-0.01 * self.s_work_duration * self.c_effort)) - 1
|
||||||
|
@ -108,9 +78,3 @@ class WorkerAgent(ap.Agent):
|
||||||
self.s_is_hired = True
|
self.s_is_hired = True
|
||||||
self.working_firm = f
|
self.working_firm = f
|
||||||
self.update_wd_by_is_hired()
|
self.update_wd_by_is_hired()
|
||||||
|
|
||||||
def step(self):
|
|
||||||
self.update_wd_by_is_hired()
|
|
||||||
'''
|
|
||||||
是否更换公司成功的状态转换?
|
|
||||||
'''
|
|
||||||
|
|
Loading…
Reference in New Issue