commit 6baaa8ecba1377dfb78b4d28da1e75268c0b22d4 Author: SongQi Date: Mon Aug 1 10:04:35 2022 +0800 first commit diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..26d3352 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,3 @@ +# Default ignored files +/shelf/ +/workspace.xml diff --git a/.idea/hire.iml b/.idea/hire.iml new file mode 100644 index 0000000..74d515a --- /dev/null +++ b/.idea/hire.iml @@ -0,0 +1,10 @@ + + + + + + + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..addf024 --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..9d36c46 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/__pycache__/firm.cpython-38.pyc b/__pycache__/firm.cpython-38.pyc new file mode 100644 index 0000000..c9482ee Binary files /dev/null and b/__pycache__/firm.cpython-38.pyc differ diff --git a/__pycache__/worker.cpython-38.pyc b/__pycache__/worker.cpython-38.pyc new file mode 100644 index 0000000..92088f4 Binary files /dev/null and b/__pycache__/worker.cpython-38.pyc differ diff --git a/env.py b/env.py new file mode 100644 index 0000000..40c3e87 --- /dev/null +++ b/env.py @@ -0,0 +1,77 @@ +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 + + 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) + + # 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 + for i in range(self.n_firm): + f = FirmAgent(self) + self.a_lst_firm.append(f) + + def step(self): + self.a_lst_worker.select_firm() + + 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: + lst_f = self.a_lst_firm.to_list() + lst_f.remove(the_worker.working_firm) + return ap.AgentList(self, lst_f).random(n_select_firms) + else: + return ap.AgentList(self, a_lst_select_firms) + + +if __name__ == '__main__': + dict_para = {'n_worker': 100, + 'n_firm': 10, + 'percent_search': 0.2, + 'alpha': 0.5} + my_model = Env(dict_para) + my_model.run() + + diff --git a/firm.py b/firm.py new file mode 100644 index 0000000..3121928 --- /dev/null +++ b/firm.py @@ -0,0 +1,105 @@ +from typing import Union, Any + +import agentpy as ap +from random import uniform, randint + +class FirmAgent(ap.Agent): + c_incentive: float + s_IsRH: bool + s_a_senior_yield: float + s_a_junior_yield: float + s_a_yield: float + s_salary: float + s_revenue: float + s_profit: float + l_senior_workers: list + l_junior_workers: list + l_applied_workers: list + + def setup(self): + self.c_incentive = uniform(0, 1) + self.s_profit = randint(10, 20) + self.l_applied_workers = [] + + def apply(self, the_worker): + self.l_applied_workers.append(the_worker) + + def select_worker(self): + ''' + 企业找到最想招聘的员工 + :return: + ''' + n_a_firms = len(self.l_applied_workers) + # 对员工产出进行排队和比较 + max_s_yield: float + max_s_yield, best_worker = 0, None + for i in self.l_applied_workers: + y = max_s_yield + if y > max_s_yield: + max_s_yield = y + best_worker = i + # 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 + ''' + + def S_a_Yield(self): + # 更新总产出 + # s_total_senior_yield = self.s_a_senior_yield * len(self.l_senior_workers) + # s_total_junior_yield = self.s_a_junior_yield * len(self.l_senior_workers) + l_s_workers = self.l_senior_workers + l_j_workers = self.l_junior_workers + # s_a_yield = s_total_yield / len(self.l_senior_workers + self.l_junior_workers) + s_total_senior_yield, s_total_junior_yield = 0, 0 + '''for i in range(len(self.l_senior_workers)): + # 加入工人主体的产出属性 + s_total_senior_yield += '工人的yield' + for i in range (len(self.l_junior_workers)): + s_total_junior_yield += '工人的yield' + s_a_senior_yield = s_total_senior_yield / len(l_s_workers) + s_a_junior_yield = s_total_junior_yield / len(l_j_workers) + s_a_yield = 0.8*s_a_senior_yield+0.2*s_a_junior_yield + return s_a_yield + ''' + return + + def LogitShare(self): + ''' + self.logitshare = exp(S_a_Yield)/ np.sum(exp(S_a_Yield)) + :return: + ''' + return + + 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 + for i in l_all_workers: + #self.sum_salary = np.sum() + return + + def S_Profit(self): + # self.s_profit =self.LogitShare() * EnvironmentAgent.s_e_Irevenue - self.Sum_salary() + return + + def step(self): + ''' + 更新三个集合： + 首先，判断员工i在企业j第t时期的l_applied_workers列表里； + 第二步，判断企业j 的s_IsRH是0或者是1； + 如果是1，则将应聘员工中s_w_yield最大的员工从l_applied_workers列表转移到l_senior_workers或l_junior_workers列表； + 否则（即如果是0），则计算每名员工如果进入企业，下一期企业利润的提升max的员工， + 从l_applied_workers列表转移到l_senior_workers或l_junior_workers列表。 + ''' diff --git a/main.py b/main.py new file mode 100644 index 0000000..5596b44 --- /dev/null +++ b/main.py @@ -0,0 +1,16 @@ +# 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/ diff --git a/worker.py b/worker.py new file mode 100644 index 0000000..e05fc0f --- /dev/null +++ b/worker.py @@ -0,0 +1,77 @@ +import math + +import agentpy as ap +from random import uniform, randint +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.c_alpha = alpha + # 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 salary(self, the_firm: FirmAgent): + ''' + 如果员工首次受到雇佣，薪资 = 某公司初始薪资 + 如果员工更换了公司， 薪资 = 原薪资 * （1+c_incentive） + ? 换公司 + :return: + ''' + pass + + + + def step(self): + if self.s_is_hired == 1: + self.s_work_duration +=1 + self.s_yield = 2 / (1 + math.exp(-0.01 * self.s_work_duration * self.c_effort)) - 1 + ''' + 是否更换公司成功的状态转换？ + ''' \ No newline at end of file