From f11e7712186ceb5e6053bbc63f7a69a31ee2eb53 Mon Sep 17 00:00:00 2001 From: He Zhou Date: Sun, 12 Feb 2023 23:43:40 +0800 Subject: [PATCH] debug the run_id --- env.py | 19 +++++++++++++------ env_data.xlsx | Bin 146168 -> 119278 bytes experiment.py | 7 ++++--- firm.py | 1 + 4 files changed, 18 insertions(+), 9 deletions(-) diff --git a/env.py b/env.py index a0707b0..0b3004a 100644 --- a/env.py +++ b/env.py @@ -21,21 +21,22 @@ class Env(ap.Model): n_firm: int e_revenue: float - a_lst_worker: ap.AgentList[WorkerAgent] - a_lst_firm: ap.AgentList[FirmAgent] + a_lst_worker: ap.AgentList + a_lst_firm: ap.AgentList """ Worker: Mean(s), Gini(s) - Firm: Mean((pi_{j,t})), Gini(pi_{j,t}) + Firm: Mean((pi_{j,t})), Gini(pi_{j,t}), Mean(s_a_yield) Env: Percent(IsHired) """ out_w_avg_salary: float out_w_gini_salary: float out_f_avg_profit: float + out_f_avg_yield: float out_f_gini_profit: float out_w_percent_hired: float - def __init__(self, dct_all): + def __init__(self, dct_all, _run_id=None): super().__init__() # 工作人员、企业数量、搜寻企业数量赋值 @@ -89,10 +90,12 @@ class Env(ap.Model): # self.picture_out() self.update() - if self.t == 200: + if self.t >= 200: self.running = False + self.stop() else: self.t += 1 + # print(f"running the {self.t} step") def update(self): lst_salary = [] @@ -106,19 +109,23 @@ class Env(ap.Model): self.out_w_gini_salary = self.gini(lst_salary) lst_profit = [] + lst_yield = [] # n_w_firm = 0 for f in self.a_lst_firm: lst_profit.append(f.s_profit) + lst_yield.append(f.s_a_yield) # if f.s_profit > 0: # n_w_firm += 1 n_firms = len(lst_profit) self.out_f_avg_profit = sum(lst_profit) / n_firms + self.out_f_avg_yield = sum(lst_yield) / n_firms self.out_f_gini_profit = self.gini(lst_profit) self.out_w_percent_hired = n_hired / n_workers self.record('out_w_avg_salary') self.record('out_w_gini_salary') self.record('out_f_avg_profit') + self.record('out_f_avg_yield') self.record('out_f_gini_profit') self.record('out_w_percent_hired') @@ -229,4 +236,4 @@ if __name__ == 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eL6A@H2{ zc1E}%{ys|omx6;{D=uoFE1`3u0(QkPYa&z2mcXdl|Q-Wzg_mU@M%B)M;LYKMEL*l`qO$& hyV5^;%oIre%dre}$bsepfvAA(3ebZWC;|u2{{dds11$gm diff --git a/experiment.py b/experiment.py index 0daa25a..da051ab 100644 --- a/experiment.py +++ b/experiment.py @@ -24,7 +24,8 @@ model_para = { "n_firm": 100 } -lst_op_key = ['out_w_avg_salary', 'out_w_gini_salary', 'out_f_avg_profit', 'out_f_gini_profit', 'out_w_percent_hired'] +lst_op_key = ['out_w_avg_salary', 'out_w_gini_salary', 'out_f_avg_profit', 'out_f_avg_yield', + 'out_f_gini_profit', 'out_w_percent_hired'] lst_2d_op_avg = [] lst_2d_xv = [] for idx_row in range(idx_start-1, n_row, 1): @@ -48,8 +49,8 @@ for idx_row in range(idx_start-1, n_row, 1): break lst_2d_op.append([the_model.out_w_avg_salary, the_model.out_w_gini_salary, - the_model.out_f_avg_profit, the_model.out_f_gini_profit, - the_model.out_w_percent_hired]) + the_model.out_f_avg_profit, the_model.out_f_avg_yield, + the_model.out_f_gini_profit, the_model.out_w_percent_hired]) arr_op = np.array(lst_2d_op) lst_2d_op_avg.append(arr_op.mean(axis=0).tolist()) diff --git a/firm.py b/firm.py index baeb0db..598501b 100644 --- a/firm.py +++ b/firm.py @@ -40,6 +40,7 @@ class FirmAgent(ap.Agent): self.initial_f_salary = randint(8000, 10000) self.s_profit = 0 self.s_value = 0 + self.s_a_yield = 0 def apply(self, the_worker): self.l_applied_workers.append(the_worker)