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3,4,5,6,9,20,26,27,34,35],custom:[2,6,8,13,15,23,27],cycl:[5,26,33],d1:13,d2:13,d:[2,12,13,19,20,23,24,25,29,33,34,35],d_i:25,d_j:12,d_k:12,d_num:[12,32],d_rang:19,d_spread:19,d_t:20,d_val:[20,33],data:[0,5,6,8,9,12,13,14,26,27,29,31,32],data_dict:13,dataset:14,date:21,debug:27,decis:[6,26],deck:32,declar:[6,15],decreas:6,deep:[2,3,6],deep_equal_to:[5,6],deepli:[5,6],def:[15,34],default_valu:13,defin:[15,19,20,32],deliv:[6,35],delta:19,demand:[2,4,5,6,7,8,9,12,14,15,18,19,20,21,23,24,25,26,27,29,31,32,33,35],demand_bound_const:[8,9,14,32],demand_cumul:6,demand_distrib:[20,33],demand_distribut:2,demand_hi:23,demand_list:[2,34],demand_mean:[8,12,13,14,19,20,21,23,29,32,33],demand_met_from_stock:6,demand_met_from_stock_cumul:6,demand_pdf:[20,23],demand_pmf:[14,20,23,33],demand_r:[14,18,24,29,33,35],demand_sd:[14,19,20,21,23,29,33],demand_sourc:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],demand_standard_devi:[8,12,32],demand_typ:[5,14,29,32,34],demandsourc:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],denot:[19,20,34],depend:[13,19,24],deriv:6,derived_demand_mean:6,derived_demand_standard_devi:6,descend:6,descent:[11,32],describ:[6,8,9,12,23],descript:[12,14,29],descrtipt:14,desir:[13,15,19],detail:[19,34],determin:[5,6,7,9,11,12,13,14,21,23,34],determinist:[2,14,24,34,35],deviat:[2,6,8,12,15,19,20,21,23,24,29,35],df:24,dh:24,dict:[2,3,4,5,6,7,8,9,11,12,13,14,15,20,32,33],dict_match:13,dict_to_chang:13,dictionari:[7,11,13,14,33],differ:[6,15,34,35],digraph:5,dimension:13,direct:[5,6,26,32],directli:[6,26,32,34],discount:[19,20],discount_factor:[14,19,20],discret:[2,11,12,13,14,15,19,20,23,32,33],discrete_loss:[15,24],discrete_second_loss:15,discretization_num:11,discretization_step:11,discuss:[12,19,34],displai:[11,26,29,31],disr:[27,34],disrupt:[3,6,14,24,26,27,29,31],disruption_prob:[3,14,24,34],disruption_process:[0,1,2,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],disruption_r:[14,24,35],disruption_state_list:3,disruption_typ:[3,34],disruptionprocess:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],distrbut:20,distrib:15,distribut:[2,5,8,12,13,14,15,19,20,21,23,24,29,32,33,34,35],divid:6,dmf:[27,34],doc:15,docstr:[12,26,34],document:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,30,32,33,34,35],doe:[5,6,9,13,14,19,32,34],don:19,done:19,doubl:19,down:[3,12,13,24,26],download:34,downstream:[5,6,12,34],dp:[3,7,8,9,19,25,32,33],ds:2,due:[6,15,21,27,34],dump:26,dure:[3,6,34],dy:[15,21],dynam:[7,8,9,19,25,29,32,33],e2:13,e:[2,3,4,5,6,12,13,14,15,19,20,24,26,32,33,34],each:[2,3,5,6,7,8,9,11,12,13,14,16,19,21,25,26,27,32,33,34],earlier:34,earn:6,eb:[4,34],echelon:[0,4,5,6,7,8,9,11,12,14,18,19,20,21,23,24,25,26,27,29,31,34,35],echelon_:12,echelon_holding_cost:[6,12,14,29,32],echelon_inventory_level:6,echelon_inventory_posit:6,echelon_inventory_position_adjust:4,echelon_on_hand_inventori:6,echelon_to_local_base_stock_level:[5,29,34],econom:[8,18,24,29,33,35],economic_order_quant:[18,29,33],economic_order_quantity_with_backord:18,economic_production_quant:18,edg:[5,14,32,34],edge_list:5,edit:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],ef:26,effect:[3,34],effici:21,ehrhardt:[23,33],eil:[21,33],eipa:4,either:[5,8,11,12,15,19,20,24,32,33,35],element:[5,13,19,25],els:[14,15],empti:5,en:[6,13,16],encapsul:4,end:[3,6,11,12,13,16,19,27,34],englewood:21,ensur:13,ensure_dict_for_nod:13,ensure_list_for_nod:13,ensure_list_for_time_period:13,entir:[6,19,25],entri:[8,13],enumer:[11,32],eoq:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,19,20,21,22,23,24,25,26,27,28,29,30,31,32,34],eoq_with_additive_yield_uncertainti:[24,35],eoq_with_disrupt:[24,35],eoq_with_disruptions_cost:24,eoq_with_multiplicative_yield_uncertainti:[24,35],eoqb:[14,18,19,21,33],eoqd:[14,24,35],epq:[14,18,33],epsilon:21,eq:23,equal:[5,6,8,11,13,14,16,19,20,33,34],equat:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],equiv:34,equival:[6,26,27,34],equivalent_lead_tim:6,equivalentlli:34,erratum:[7,9],error:[13,26,34],estim:19,etc:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],evalu:[11,12,16,18,20,23,24,32,33],even:[4,5,6,9,14,27,32],event:[29,31],ever:6,everi:[2,9,11,13,18,19,25,34],evid:34,exact:[21,23,32,33,34],exactli:[6,9,12,32,35],exampl:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,30,31,32,33,35],example_3_1:14,example_3_8:14,example_3_9:14,example_4_1:14,example_4_1_network:14,example_4_2:14,example_4_3:14,example_4_4:14,example_4_7:14,example_4_8:14,example_5_1:14,example_5_8:14,example_6_1:[14,32,34],example_6_1_network:32,example_6_3:[8,14,32],example_6_3_network:32,example_6_5:[7,9,14,29,32],example_6_5_network:32,example_9_1:14,example_9_3:14,example_9_4:14,example_9_5:14,example_9_6:14,except:[2,3,4,5,6,12,15,26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urrent:[2,3,4,5,6,9,20,26,27,34,35],custom:[2,6,8,13,15,23,27],cycl:[5,26,33],d1:13,d2:13,d:[2,12,13,19,20,23,24,25,29,33,34,35],d_i:25,d_j:12,d_k:12,d_num:[12,32],d_rang:19,d_spread:19,d_t:20,d_val:[20,33],data:[0,5,6,8,9,12,13,14,26,27,29,31,32],data_dict:13,dataset:14,date:21,debug:27,decis:[6,26],deck:32,declar:[6,15],decreas:6,deep:[2,3,6],deep_equal_to:[5,6],deepli:[5,6],def:[15,34],default_valu:13,defin:[15,19,20,32],deliv:[6,35],delta:19,demand:[2,4,5,6,7,8,9,12,14,15,18,19,20,21,23,24,25,26,27,29,31,32,33,35],demand_bound_const:[8,9,14,32],demand_cumul:6,demand_distrib:[20,33],demand_distribut:2,demand_hi:23,demand_list:[2,34],demand_mean:[8,12,13,14,19,20,21,23,29,32,33],demand_met_from_stock:6,demand_met_from_stock_cumul:6,demand_pdf:[20,23],demand_pmf:[14,20,23,33],demand_r:[14,18,24,29,33,35],demand_sd:[14,19,20,21,23,29,33],demand_sourc:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],demand_standard_devi:[8,12,32],demand_typ:[5,14,29,32,34],demandsourc:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],denot:[19,20,34],depend:[13,19,24],deriv:6,derived_demand_mean:6,derived_demand_standard_devi:6,descend:6,descent:[11,32],describ:[6,8,9,12,23],descript:[12,14,29],descrtipt:14,desir:[13,15,19],detail:[19,34],determin:[5,6,7,9,11,12,13,14,21,23,34],determinist:[2,14,24,34,35],deviat:[2,6,8,12,15,19,20,21,23,24,29,35],df:24,dh:24,dict:[2,3,4,5,6,7,8,9,11,12,13,14,15,20,26,32,33],dict_match:13,dict_to_chang:13,dictionari:[7,11,13,14,26,33],differ:[6,15,34,35],digraph:5,dimension:13,direct:[5,6,26,32],directli:[6,26,32,34],discount:[19,20],discount_factor:[14,19,20],discret:[2,11,12,13,14,15,19,20,23,32,33],discrete_loss:[15,24],discrete_second_loss:15,discretization_num:11,discretization_step:11,discuss:[12,19,34],displai:[11,26,29,31],disr:[27,34],disrupt:[3,6,14,24,26,27,29,31],disruption_prob:[3,14,24,34],disruption_process:[0,1,2,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],disruption_r:[14,24,35],disruption_state_list:3,disruption_typ:[3,34],disruptionprocess:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],distrbut:20,distrib:15,distribut:[2,5,8,12,13,14,15,19,20,21,23,24,29,32,33,34,35],divid:6,dmf:[27,34],doc:15,docstr:[12,26,34],document:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,30,32,33,34,35],doe:[5,6,9,13,14,19,32,34],don:19,done:19,doubl:19,down:[3,12,13,24,26],download:34,downstream:[5,6,12,34],dp:[3,7,8,9,19,25,32,33],ds:2,due:[6,15,21,27,34],dump:26,dure:[3,6,34],dy:[15,21],dynam:[7,8,9,19,25,29,32,33],e2:13,e:[2,3,4,5,6,12,13,14,15,19,20,24,26,32,33,34],each:[2,3,5,6,7,8,9,11,12,13,14,16,19,21,25,26,27,32,33,34],earlier:34,earn:6,eb:[4,34],echelon:[0,4,5,6,7,8,9,11,12,14,18,19,20,21,23,24,25,26,27,29,31,34,35],echelon_:12,echelon_holding_cost:[6,12,14,29,32],echelon_inventory_level:6,echelon_inventory_posit:6,echelon_inventory_position_adjust:4,echelon_on_hand_inventori:6,echelon_to_local_base_stock_level:[5,29,34],econom:[8,18,24,29,33,35],economic_order_quant:[18,29,33],economic_order_quantity_with_backord:18,economic_production_quant:18,edg:[5,14,32,34],edge_list:5,edit:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],ef:26,effect:[3,34],effici:21,ehrhardt:[23,33],eil:[21,33],eipa:4,either:[5,8,11,12,15,19,20,24,32,33,35],element:[5,13,19,25],els:[14,15],empti:5,en:[6,13,16],encapsul:4,end:[3,6,11,12,13,16,19,27,34],englewood:21,ensur:13,ensure_dict_for_nod:13,ensure_list_for_nod:13,ensure_list_for_time_period:13,entir:[6,19,25],entri:[8,13],enumer:[11,32],environ:26,eoq:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,19,20,21,22,23,24,25,26,27,28,29,30,31,32,34],eoq_with_additive_yield_uncertainti:[24,35],eoq_with_disrupt:[24,35],eoq_with_disruptions_cost:24,eoq_with_multiplicative_yield_uncertainti:[24,35],eoqb:[14,18,19,21,33],eoqd:[14,24,35],epq:[14,18,33],epsilon:21,eq:23,equal:[5,6,8,11,13,14,16,19,20,33,34],equat:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],equiv:34,equival:[6,26,27,34],equivalent_lead_tim:6,equivalentlli:34,erratum:[7,9],error:[13,26,34],estim:19,etc:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,29,30,32,33,34,35],evalu:[11,12,16,18,20,23,24,32,33],even:[4,5,6,9,14,27,32],event:[29,31],ever:6,everi:[2,9,11,13,18,19,25,34],evid:34,exact:[21,23,32,33,34],exactli:[6,9,12,32,35],exampl:[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,30,31,32,33,35],example_3_1:14,example_3_8:14,example_3_9:14,example_4_1:14,example_4_1_network:14,example_4_2:14,example_4_3:14,example_4_4:14,example_4_7:14,example_4_8:14,example_5_1:14,example_5_8:14,example_6_1:[14,32,34],example_6_1_network:32,example_6_3:[8,14,32],example_6_3_network:32,example_6_5:[7,9,14,29,32],example_6_5_network:32,example_9_1:14,example_9_3:14,example_9_4:14,example_9_5:14,example_9_6:14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\ No newline at end of file
diff --git a/src/stockpyl/sim.py b/src/stockpyl/sim.py
index aa642cc..1216153 100644
--- a/src/stockpyl/sim.py
+++ b/src/stockpyl/sim.py
@@ -130,7 +130,6 @@ def initialize(network, num_periods, rand_seed=None):
"""Initialize the simulation:
* Check validity of the network
- * Initialize ``network.period`` to 0
* Initialize state and decision variables at each node
* Set the numpy PRNG seed
* Set network.period to None (will be set to 0 in first call to :func:`stockpyl.sim.step`)
@@ -163,9 +162,6 @@ def initialize(network, num_periods, rand_seed=None):
# INITIALIZATION
- # Initialize time period.
- network.period = 0
-
# Check that the network doesn't contain a directed cycle.
if network.has_directed_cycle():
raise ValueError("network may not contain a directed cycle")