first normal run
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@ -1 +1 @@
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db_name_prefix: test
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db_name_prefix: not_test
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@ -52,9 +52,10 @@ class ControllerDB:
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dct = {code: [product_code]}
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dct = {code: [product_code]}
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list_dct.append(dct)
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list_dct.append(dct)
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# list_dct = [{'140': ['1.4.5.1']}]
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# list_dct = [{'140': ['1.4.5.1']}]
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list_dct = [{'133': ['1.4.4.1']}]
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# list_dct = [{'133': ['1.4.4.1']}]
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# list_dct = [{'2': ['1.1.3']}]
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# list_dct = [{'2': ['1.1.3']}]
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# list_dct = [{'135': ['1.3.2.1']}]
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# list_dct = [{'135': ['1.3.2.1']}]
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# list_dct = [{'79': ['2.1.3.4']}]
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# fill g_bom
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# fill g_bom
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BomNodes = pd.read_csv('BomNodes.csv', index_col=0)
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BomNodes = pd.read_csv('BomNodes.csv', index_col=0)
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34
firm.py
34
firm.py
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@ -44,8 +44,8 @@ class FirmAgent(ap.Agent):
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if self.model.nprandom.choice([True, False],
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if self.model.nprandom.choice([True, False],
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p=[prod_remove,
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p=[prod_remove,
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1 - prod_remove]):
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1 - prod_remove]):
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print(self.name, remove_product.code, 'affect',
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# print(self.name, remove_product.code, 'affect',
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customer.name)
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# customer.name)
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if remove_product not in \
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if remove_product not in \
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customer.a_lst_up_product_removed:
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customer.a_lst_up_product_removed:
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customer.a_lst_up_product_removed.append(
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customer.a_lst_up_product_removed.append(
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@ -55,7 +55,7 @@ class FirmAgent(ap.Agent):
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def seek_alt_supply(self):
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def seek_alt_supply(self):
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for product in self.a_lst_up_product_removed:
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for product in self.a_lst_up_product_removed:
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print(f"{self.name} seek alt supply for {product.code}")
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# print(f"{self.name} seek alt supply for {product.code}")
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if self.dct_n_trial_up_product_removed[
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if self.dct_n_trial_up_product_removed[
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product] <= self.model.int_n_max_trial:
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product] <= self.model.int_n_max_trial:
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# select a list of candidate firm that has the product
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# select a list of candidate firm that has the product
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@ -73,9 +73,9 @@ class FirmAgent(ap.Agent):
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]
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]
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select_alt_supply = self.model.nprandom.choice(
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select_alt_supply = self.model.nprandom.choice(
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candidate_alt_supply, p=lst_prob)
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candidate_alt_supply, p=lst_prob)
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print(
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# print(
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f"{self.name} selct alt supply for {product.code} from {select_alt_supply.name}"
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# f"{self.name} selct alt supply for {product.code} from {select_alt_supply.name}"
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)
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# )
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assert product in select_alt_supply.a_lst_product, \
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assert product in select_alt_supply.a_lst_product, \
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f"{select_alt_supply} \
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f"{select_alt_supply} \
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does not produce requested product {product}"
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does not produce requested product {product}"
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@ -88,17 +88,17 @@ class FirmAgent(ap.Agent):
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select_alt_supply.dct_request_prod_from_firm[product] = [
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select_alt_supply.dct_request_prod_from_firm[product] = [
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self
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self
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]
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]
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print(
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# print(
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select_alt_supply.name, 'dct_request_prod_from_firm', {
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# select_alt_supply.name, 'dct_request_prod_from_firm', {
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key.code: [v.name for v in value]
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# key.code: [v.name for v in value]
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for key, value in
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# for key, value in
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select_alt_supply.dct_request_prod_from_firm.items()
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# select_alt_supply.dct_request_prod_from_firm.items()
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})
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# })
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self.dct_n_trial_up_product_removed[product] += 1
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self.dct_n_trial_up_product_removed[product] += 1
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def handle_request(self):
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def handle_request(self):
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print(self.name, 'handle_request')
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# print(self.name, 'handle_request')
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for product, lst_firm in self.dct_request_prod_from_firm.items():
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for product, lst_firm in self.dct_request_prod_from_firm.items():
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if self.dct_prod_capacity[product] > 0:
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if self.dct_prod_capacity[product] > 0:
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if len(lst_firm) == 0:
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if len(lst_firm) == 0:
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@ -117,7 +117,7 @@ class FirmAgent(ap.Agent):
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lst_adj_firm += [ap.AgentIter(self.model, edge[1]).to_list()[0].code for edge in out_edges]
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lst_adj_firm += [ap.AgentIter(self.model, edge[1]).to_list()[0].code for edge in out_edges]
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lst_adj_firm += [ap.AgentIter(self.model, edge[0]).to_list()[0].code for edge in in_edges]
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lst_adj_firm += [ap.AgentIter(self.model, edge[0]).to_list()[0].code for edge in in_edges]
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if self.code in lst_adj_firm:
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if self.code in lst_adj_firm:
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lst_firm_connect += firm
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lst_firm_connect.append(firm)
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if len(lst_firm_connect) == 0:
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if len(lst_firm_connect) == 0:
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# handling based on size
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# handling based on size
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lst_firm_size = [firm.revenue_log for firm in lst_firm]
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lst_firm_size = [firm.revenue_log for firm in lst_firm]
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@ -156,9 +156,9 @@ class FirmAgent(ap.Agent):
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self.dct_prod_capacity[product] -= 1
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self.dct_prod_capacity[product] -= 1
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self.dct_request_prod_from_firm[product].remove(down_firm)
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self.dct_request_prod_from_firm[product].remove(down_firm)
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down_firm.a_lst_up_product_removed.remove(product)
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down_firm.a_lst_up_product_removed.remove(product)
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print(
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# print(
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f"{self.name} accept {product.code} request from {down_firm.name}"
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# f"{self.name} accept {product.code} request from {down_firm.name}"
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)
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# )
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def clean_before_trial(self):
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def clean_before_trial(self):
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self.dct_request_prod_from_firm = {}
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self.dct_request_prod_from_firm = {}
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7
main.py
7
main.py
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@ -23,7 +23,8 @@ if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='setting')
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parser = argparse.ArgumentParser(description='setting')
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parser.add_argument('--exp', type=str, default='test')
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parser.add_argument('--exp', type=str, default='test')
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parser.add_argument('--job', type=int, default='3')
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parser.add_argument('--job', type=int, default='3')
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parser.add_argument('--reset', type=int, default='0')
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parser.add_argument('--reset_sample', type=int, default='0')
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parser.add_argument('--reset_db', type=bool, default=False)
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args = parser.parse_args()
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args = parser.parse_args()
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assert args.job >= 1, 'Number of jobs should >= 1'
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assert args.job >= 1, 'Number of jobs should >= 1'
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yaml.dump({'db_name_prefix': args.exp}, file)
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yaml.dump({'db_name_prefix': args.exp}, file)
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from controller_db import ControllerDB
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from controller_db import ControllerDB
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controller_db = ControllerDB(args.exp, reset_flag=args.reset)
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controller_db = ControllerDB(args.exp, reset_flag=args.reset_sample)
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# controller_db.reset_db()
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# controller_db.reset_db()
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# force drop
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# force drop
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controller_db.reset_db(force_drop=True)
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controller_db.reset_db(force_drop=args.reset_db)
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controller_db.prepare_list_sample()
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controller_db.prepare_list_sample()
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54
model.py
54
model.py
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@ -107,7 +107,6 @@ class Model(ap.Model):
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for product in firm_agent.a_lst_product:
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for product in firm_agent.a_lst_product:
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firm_agent.dct_prod_capacity[product] = self.nprandom.integers(
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firm_agent.dct_prod_capacity[product] = self.nprandom.integers(
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firm_agent.revenue_log / 5, firm_agent.revenue_log / 5 + 2)
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firm_agent.revenue_log / 5, firm_agent.revenue_log / 5 + 2)
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# print(firm_agent.name, firm_agent.dct_prod_capacity)
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self.firm_network.add_agents([firm_agent], [ag_node])
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self.firm_network.add_agents([firm_agent], [ag_node])
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self.a_lst_total_firms = ap.AgentList(self, self.firm_network.agents)
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self.a_lst_total_firms = ap.AgentList(self, self.firm_network.agents)
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@ -152,12 +151,12 @@ class Model(ap.Model):
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self.stop()
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self.stop()
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def step(self):
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def step(self):
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print('\n', '=' * 20, 'step', self.t, '=' * 20)
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# print('\n', '=' * 20, 'step', self.t, '=' * 20)
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print(
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# print(
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'dct_list_remove_firm_prod', {
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# 'dct_list_remove_firm_prod', {
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key.name: value.code
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# key.name: value.code
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for key, value in self.dct_lst_remove_firm_prod.items()
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# for key, value in self.dct_lst_remove_firm_prod.items()
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})
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# })
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# remove_edge_to_cus_and_cus_up_prod
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# remove_edge_to_cus_and_cus_up_prod
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for firm, a_lst_product in self.dct_lst_remove_firm_prod.items():
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for firm, a_lst_product in self.dct_lst_remove_firm_prod.items():
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@ -165,7 +164,7 @@ class Model(ap.Model):
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firm.remove_edge_to_cus_remove_cus_up_prod(product)
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firm.remove_edge_to_cus_remove_cus_up_prod(product)
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for n_trial in range(self.int_n_max_trial):
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for n_trial in range(self.int_n_max_trial):
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print('=' * 10, 'trial', n_trial, '=' * 10)
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# print('=' * 10, 'trial', n_trial, '=' * 10)
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# seek_alt_supply
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# seek_alt_supply
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# shuffle self.a_lst_total_firms
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# shuffle self.a_lst_total_firms
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self.a_lst_total_firms = self.a_lst_total_firms.shuffle()
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self.a_lst_total_firms = self.a_lst_total_firms.shuffle()
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self.dct_lst_disrupt_firm_prod = {}
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self.dct_lst_disrupt_firm_prod = {}
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for firm in self.a_lst_total_firms:
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for firm in self.a_lst_total_firms:
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if len(firm.a_lst_up_product_removed) > 0:
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if len(firm.a_lst_up_product_removed) > 0:
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print(firm.name, 'a_lst_up_product_removed', [
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# print(firm.name, 'a_lst_up_product_removed', [
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product.code for product in firm.a_lst_up_product_removed
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# product.code for product in firm.a_lst_up_product_removed
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])
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# ])
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for product in firm.a_lst_product:
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for product in firm.a_lst_product:
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n_up_product_removed = 0
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n_up_product_removed = 0
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for up_product_removed in firm.a_lst_up_product_removed:
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for up_product_removed in firm.a_lst_up_product_removed:
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firm] = ap.AgentList(
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firm] = ap.AgentList(
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self.model, [product])
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self.model, [product])
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print(
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# print(
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'dct_list_remove_firm_prod', {
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# 'dct_list_remove_firm_prod', {
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key.name: value.code
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# key.name: value.code
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for key, value in self.dct_lst_remove_firm_prod.items()
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# for key, value in self.dct_lst_remove_firm_prod.items()
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})
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# })
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def end(self):
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def end(self):
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print('/' * 20, 'output', '/' * 20)
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# print('/' * 20, 'output', '/' * 20)
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print('dct_list_remove_firm_prod')
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# print('dct_list_remove_firm_prod')
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for t, dct in self.lst_dct_lst_remove_firm_prod:
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# for t, dct in self.lst_dct_lst_remove_firm_prod:
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for firm, a_lst_product in dct.items():
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# for firm, a_lst_product in dct.items():
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for product in a_lst_product:
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# for product in a_lst_product:
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print(t, firm.name, product.code)
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# print(t, firm.name, product.code)
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print('dct_lst_disrupt_firm_prod')
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# print('dct_lst_disrupt_firm_prod')
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for t, dct in self.lst_dct_lst_disrupt_firm_prod:
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# for t, dct in self.lst_dct_lst_disrupt_firm_prod:
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for firm, a_lst_product in dct.items():
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# for firm, a_lst_product in dct.items():
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for product in a_lst_product:
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# for product in a_lst_product:
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print(t, firm.name, product.code)
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# print(t, firm.name, product.code)
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qry_result = db_session.query(Result).filter_by(s_id=self.sample.id)
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qry_result = db_session.query(Result).filter_by(s_id=self.sample.id)
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if qry_result.count() == 0:
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if qry_result.count() == 0:
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@ -288,7 +287,6 @@ class Model(ap.Model):
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prog="twopi",
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prog="twopi",
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args="")
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args="")
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node_label = nx.get_node_attributes(self.firm_network.graph, 'Name')
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node_label = nx.get_node_attributes(self.firm_network.graph, 'Name')
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# print(node_label)
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node_degree = dict(self.firm_network.graph.out_degree())
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node_degree = dict(self.firm_network.graph.out_degree())
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node_label = {
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node_label = {
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key: f"{node_label[key]} {node_degree[key]}"
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key: f"{node_label[key]} {node_degree[key]}"
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