上传文件至 '0829'

0829/env.py

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+import agentpy as ap
+
+from random import uniform
+
+from worker import WorkerAgent
+from firm import FirmAgent
+
+
+class Env(ap.Model):
+
+    float_market_size: float
+    percent_rh: float
+    percent_search: float
+    n_worker: int
+    n_firm: int
+    e_revenue: float
+
+    a_lst_worker: ap.AgentList
+    a_lst_firm: ap.AgentList
+
+    def setup(self):
+        # 工作人员、企业数量、搜寻企业数量赋值
+        self.n_worker = self.p.n_worker
+        self.n_firm = self.p.n_firm
+        self.percent_search = self.p.percent_search
+        # 工人、企业列表
+        self.a_lst_worker = ap.AgentList(self)
+        self.a_lst_firm = ap.AgentList(self)
+        self.e_revenue = 119.3
+
+        # 在工人列表中添加工人
+        for i in range(self.n_worker):
+            # 初始化  workeragent，并把alpha属性传过去
+            w = WorkerAgent(self, self.p.alpha)
+            self.a_lst_worker.append(w)
+
+        # 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))
+            self.a_lst_firm.append(f)
+
+    def update_e_revenue(self):
+        self.e_revenue += 0.01 * self.e_revenue
+
+    def step(self):
+        self.update_e_revenue()
+        # 先清空每次的选择列表
+        self.a_lst_firm.empty_apply()
+        # 一开始worker要去选择很多firm
+        self.a_lst_worker.select_firm()
+        # 第二步， firm 去选 worker
+        self.a_lst_firm.select_worker()
+
+        if self.t == 100:
+            self.stop()
+        pass
+
+    def provide_lst_random_firms(self, the_worker: WorkerAgent):
+        '''选择企业数量 = 企业总数*百分比
+        选择企业的列表 = 随机选择的企业的个数
+        如果员工处于被雇佣的状态：
+           如果员工工作的企业在随机选定的企业列表中：
+             打开列表中的企业
+             移除该企业
+             返回值：移除后，再重新选择随机选择企业
+           否则：
+            返回值：选择企业列表
+        '''
+        n_select_firms = int(self.percent_search * self.n_firm)
+        a_lst_select_firms = self.a_lst_firm.random(n_select_firms)
+        if the_worker.s_is_hired:
+            if the_worker.working_firm in a_lst_select_firms:
+                # 转换为 list
+                lst_f = list(self.a_lst_firm)
+                lst_f.remove(the_worker.working_firm)
+                return ap.AgentList(self, lst_f).random(n_select_firms)
+        # 假如以上都不满足， 直接返回
+        return ap.AgentList(self, a_lst_select_firms)
+
+
+if __name__ == '__main__':
+    dict_para = {'n_worker': 100,
+                 'n_firm': 20,
+                 'percent_search': 0.2,
+                 'alpha': 0.5,
+                 'is_RH_ratio': 0.5}
+    my_model = Env(dict_para)
+    my_model.run()
+
+

0829/firm.py

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+import math
+from typing import Union, Any
+
+import agentpy as ap
+from random import uniform, randint
+
+from typing import TYPE_CHECKING
+
+import numpy as np
+
+if TYPE_CHECKING:
+    from worker import WorkerAgent
+
+
+class FirmAgent(ap.Agent):
+    c_incentive: float
+    s_IsRH: bool
+    s_avg_senior_yield: float
+    s_avg_junior_yield: float
+    s_a_yield: float
+    # s_salary: float
+    initial_f_salary: float
+    s_revenue: float
+    s_profit: float
+    l_senior_workers: list
+    l_junior_workers: list
+    l_applied_workers: list
+
+    def setup(self, is_RH):
+        self.c_incentive = uniform(0, 1)
+        # self.s_profit = randint(10, 20)
+        self.l_applied_workers = []
+        self.s_IsRH = is_RH
+        self.initial_f_salary = randint(8000, 10000)
+
+    def apply(self, the_worker):
+        self.l_applied_workers.append(the_worker)
+
+    def empty_apply(self):
+        self.l_applied_workers = []
+
+    def select_worker(self):
+        '''
+        企业找到最想招聘的员工
+        :return:
+        '''
+        n_workers = len(self.l_applied_workers)
+        if n_workers > 0:
+            selected_worker = None
+            if n_workers > 1:
+                # 对员工产出进行排队和比较
+                # 先判断是什么选择方式
+                if self.s_IsRH:
+                    max_s_yield, best_worker = 0.0, None
+                    for the_worker in self.l_applied_workers:
+                        if the_worker.s_yield > max_s_yield:
+                            max_s_yield = the_worker.s_yield
+                            best_worker = the_worker
+                    selected_worker = best_worker
+                else:
+                    selected_worker = self.l_applied_workers[0]  # TODO
+            # 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:
+                selected_worker = self.l_applied_workers[0]
+            selected_worker.update_working_firm_is_hired(self)
+            self.update_two_worker_list(selected_worker)
+
+    def update_two_worker_list(self, new_worker):
+        lst_all_worker = self.l_senior_workers + self.l_junior_workers + [new_worker]
+        lst_sorted = lst_all_worker.sort(key=lambda x: x['s_yield'], reverse=True)  # from highest yield to lowest
+        n_all_worker = len(lst_all_worker)
+        # 向上取整数值
+        n_senior_worker = math.ceil(n_all_worker * 0.2)
+        n_junior_worker = n_all_worker - n_senior_worker
+        self.l_senior_workers = lst_sorted[:n_senior_worker]
+        if n_junior_worker == 0:
+            self.l_junior_workers = []
+        else:
+            self.l_junior_workers = lst_sorted[n_senior_worker:]
+
+    def update_yields(self):  # 需要改
+        n_sw, n_jw = len(self.l_senior_workers), len(self.l_junior_workers)
+        # acc_all_yield = 0
+
+        if n_sw == 0:
+            self.s_avg_senior_yield = 0
+        else:
+            s_acc_senior_yield = 0
+            for sw in self.l_senior_workers:
+                # 加入工人主体的产出属性
+                s_acc_senior_yield += sw.s_yield
+                # acc_all_yield += sw.s_yield
+            self.s_avg_senior_yield = s_acc_senior_yield / n_sw
+
+        if n_jw == 0:
+            self.s_avg_junior_yield = 0
+        else:
+            s_acc_junior_yield = 0
+            for jw in self.l_junior_workers:
+                # 加入工人主体的产出属性
+                s_acc_junior_yield += jw.s_yield
+            self.s_avg_junior_yield = s_acc_junior_yield / n_jw
+        self.s_a_yield = 0.8 * self.s_avg_senior_yield + 0.2 * self.s_avg_junior_yield
+
+    def logit_share(self):
+        logit_share = math.exp(self.s_a_yield) / np.sum(math.exp(self.s_a_yield))
+        return logit_share
+
+    def sum_salary(self, l_senior_workers, l_junior_workers):
+        '''
+       计算某公司整体的薪金水平
+        '''
+        l_all_workers = l_senior_workers + l_junior_workers
+        sum_salary = self.salary
+        for the_worker in l_all_workers:
+            sum_salary += the_worker.salary
+            return
+
+    def s_profit(self):
+        # ?
+        self.s_profit = self.logit_share() * self.p.e_revenue - self.sum_salary()
+        return
+
+    def step(self):
+        pass

0829/main.py

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+# 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/

0829/worker.py

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+import math
+
+import agentpy as ap
+from random import uniform, randint
+
+# 编程可以自动补充一些东西，减少报错
+from typing import TYPE_CHECKING
+if TYPE_CHECKING:
+    from firm import FirmAgent
+
+
+class WorkerAgent(ap.Agent):
+    select_firm: object
+    c_effort: float
+    s_is_hired: bool
+    # c_work_months: int
+    s_work_duration: int
+    working_firm: 'FirmAgent'
+    s_salary: float
+    s_yield: float
+    # s_w_applied: bool
+    c_alpha: float
+
+    def setup(self, alpha):
+        # super().__init__(unique_id, model)
+        # self.num_workers = 10000
+        self.c_effort = uniform(0, 1)
+        # self.c_work_months = randint(0, 60)
+        self.s_is_hired = False
+        self.s_work_duration = randint(0, 60)
+        self.c_alpha = alpha
+        self.update_yield()
+        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):
+        '''
+        挑选出来的企业列表
+        数量：列表的长度
+        '''
+        lst_firms = self.model.provide_lst_random_firms(self)
+        n_firms = len(lst_firms)
+        # find the max incentive and profit among all firms
+        max_incentive, max_profit = 0, 0
+        for f in lst_firms:
+            if f.c_incentive > max_incentive:
+                max_incentive = f.c_incentive
+            if f.s_profit > max_profit:
+                max_profit = f.s_profit
+        # computer the utility for each firm
+        max_utility, best_firm = 0, None
+        for f in lst_firms:
+            u = math.pow(f.c_incentive / max_incentive, self.c_alpha) * math.pow(f.s_profit/max_profit, 1-self.c_alpha)
+            if u > max_utility:
+                max_utility = u
+                best_firm = f
+        # 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
+
+    def update_wd_by_is_hired(self):
+        if self.s_is_hired == 1:
+            self.s_work_duration += 1
+            self.update_yield()
+            self.update_salary()
+
+    def update_salary(self, the_firm: 'FirmAgent'):
+        if self.s_salary == 0:
+            self.s_salary = the_firm.initial_f_salary
+            pass
+        else:
+            self.s_salary = self.s_salary * (1 + the_firm.c_incentive)
+        pass
+
+    def update_yield(self):
+        self.s_yield = 2 / (1 + math.exp(-0.01 * self.s_work_duration * self.c_effort)) - 1
+
+    def update_working_firm_is_hired(self, f: 'FirmAgent'):
+        self.s_is_hired = True
+        self.working_firm = f
+
+    def step(self):
+        self.update_wd_by_is_hired()
+        '''
+        是否更换公司成功的状态转换？
+        '''