2f:T948,30:T51e,/*Plot.plot({ title:"Выигрыши,1-й игрок - красный, 2-й - зелёный, 3-й - синий", width: 1000, height: 600, x: {grid: true, label: "Период"}, y: {grid: true, label: "Прибыль"}, color: {legend: true}, marks: [ Plot.line(games7payoffs[2], {x: "Period", y: "Payoff", stroke: "Blue",strokeWidth:1,tip: true}) ,Plot.line(games7payoffs[1], {x: "Period", y: "Payoff", stroke: "green",strokeWidth:1,tip: true}) ,Plot.line(games7payoffs[0], {x: "Period", y: "Payoff", stroke: "Red",strokeWidth:1,tip: true}) ,Plot.tickY(games7payoffs[5], {x: "period", y: "model_payoff", stroke:"Blue",strokeWidth:2,tip:true}) ,Plot.tickY(games7payoffs[4], {x: "period", y: "model_payoff", stroke:"green",strokeWidth:2,tip:true}) ,Plot.tickY(games7payoffs[3], {x: "period", y: "model_payoff", stroke:"Red",strokeWidth:2,tip:true}) ,Plot.dot(games7payoffs[8], {x: "period", y: "model_payoff", stroke:"Blue",strokeWidth:2,tip:true,marker:"circle-stroke"}) ,Plot.dot(games7payoffs[7], {x: "period", y: "model_payoff", stroke:"green",strokeWidth:2,tip:true,marker:"circle-stroke"}) ,Plot.dot(games7payoffs[6], {x: "period", y: "model_payoff", stroke:"Red",strokeWidth:2,tip:true,marker:"circle-stroke"}) ] })*/31:T5e5,MG_step1_data = { let debug = [] let res = [] let steps = d3.flatGroup( game7data.filter(a=>a.year!=2019) .toSorted( (a,b) => a.year-b.year + (a.year==b.year)*(a.period-b.period) ) , ({year})=>year,({period})=>period ) //debug.push({steps}) for( let a of steps ) { let s = { year: a[0] ,period:a[1] ,1:{real: a[2].filter(d=>d.player==1)} ,2:{real: a[2].filter(d=>d.player==2)} ,3:{real: a[2].filter(d=>d.player==3)} } s[1].r0 = refl_models_all_variants[0][2].filter( d=> d.year==s.year && d.period==s.period && d.player==1 ) s[1].r1 = refl_models_all_variants[9][2].filter( d=> d.year==s.year && d.period==s.period && d.player==1 ) s[1].r2 = refl_models_all_variants[18][2].filter( d=> d.year==s.year && d.period==s.period && d.player==1 ) s[2].r0 = refl_models_all_variants[0][2].filter( d=> d.year==s.year && d.period==s.period && d.player==2 ) s[2].r1 = refl_models_all_variants[3][2].filter( d=> d.year==s.year && d.period==s.period && d.player==2 ) s[2].r2 = refl_models_all_variants[6][2].filter( d=> d.year==s.year && d.period==s.period && d.player==2 ) s[3].r0 = refl_models_all_variants[0][2].filter( d=> d.year==s.year && d.period==s.period && d.player==3 ) s[3].r1 = refl_models_all_variants[1][2].filter( d=> d.year==s.year && d.period==s.period && d.player==3 ) s[3].r2 = refl_models_all_variants[2][2].filter( d=> d.year==s.year && d.period==s.period && d.player==3 ) res.push( s ) } return [res,debug][0] }32:T50e,MG_step2_pay = { const calcPayoff = (player,acts) => { let sit = actions_to_situation( acts ,gametype_characters[7] ,characters13_consumers ) // calc market let market = market_clearing( sit ) let pl_res = market.generators.filter( d => d.player_id == player ) // get payoff let pay = pl_res.reduce( (acc,el,ind) => acc + (market.market_price - gametype_characters[7][player][ind].min_cost) * el.load ,0) return pay } const f0to1 = (x => x==0 ? x+1 : x) for( let a of MG_step1_data ) { if ( a.period == 1 ) continue for ( let player of [1,2,3] ) { let secplayer = f0to1((player+1)%4) ,thirdplayer = f0to1((secplayer+1)%4) // считаем выигрыши для 0-2 рангов for( let r of [0,1,2] ) { let acts = [...a[player]['r'+r] ,...a[secplayer].real ,...a[thirdplayer].real ] a[player]['r'+r+'_payoff'] = calcPayoff( player, acts ) } // считаем выигрыши для реального поведения let acts = [...a[player].real ,...a[secplayer].real ,...a[thirdplayer].real ] a[player]['real_payoff'] = calcPayoff( player, acts ) } } }33:T4aa,payoffs_for_figures = MG_step1_data .map( d => [{year:d.year,period:d.period,player:1 ,model:'real',payoff:d[1].real_payoff} ,{year:d.year,period:d.period,player:1 ,model:'r0',payoff:d[1].r0_payoff} ,{year:d.year,period:d.period,player:1 ,model:'r1',payoff:d[1].r1_payoff} ,{year:d.year,period:d.period,player:1 ,model:'r2',payoff:d[1].r2_payoff} ,{year:d.year,period:d.period,player:2 ,model:'real',payoff:d[2].real_payoff} ,{year:d.year,period:d.period,player:2 ,model:'r0',payoff:d[2].r0_payoff} ,{year:d.year,period:d.period,player:2 ,model:'r1',payoff:d[2].r1_payoff} ,{year:d.year,period:d.period,player:2 ,model:'r2',payoff:d[2].r2_payoff} ,{year:d.year,period:d.period,player:3 ,model:'real',payoff:d[3].real_payoff} ,{year:d.year,period:d.period,player:3 ,model:'r0',payoff:d[3].r0_payoff} ,{year:d.year,period:d.period,player:3 ,model:'r1',payoff:d[3].r1_payoff} ,{year:d.year,period:d.period,player:3 ,model:'r2',payoff:d[3].r2_payoff} ] ).flat()34:T58c,Plot.plot({ title:"Заявки по мощности, 1-й игрок - красный, 2-й - зелёный, 3-й - синий", width: 1000, height: 600, x: {grid: true, label: "Период"}, y: {grid: true, label: "Заявка по мощности"}, color: {legend: true}, marks: [ Plot.line(games7model021_111_acts[2], {x: "period", y: "bid", stroke: "Blue",strokeWidth:2,tip: true}) ,Plot.line(games7model021_111_acts[1], {x: "period", y: "bid", stroke: "green",strokeWidth:3,tip: true}) ,Plot.line(games7model021_111_acts[0], {x: "period", y: "bid", stroke: "Red",strokeWidth:1,tip: true}) ,Plot.line(games7model021_111_acts[5], {x: "period", y: "bid", stroke:"Blue",strokeWidth:2,tip:true,marker:'circle'}) ,Plot.line(games7model021_111_acts[4], {x: "period", y: "bid", stroke:"green",strokeWidth:2,tip:true,marker:'circle'}) ,Plot.line(games7model021_111_acts[3], {x: "period", y: "bid", stroke:"Red",strokeWidth:1,tip:true,marker:'circle'}) ,Plot.line(games7model021_111_acts[8], {x: "period", y: "bid", stroke:"Blue",strokeWidth:2,tip:true,marker:"circle-stroke"}) ,Plot.line(games7model021_111_acts[7], {x: "period", y: "bid", stroke:"green",strokeWidth:2,tip:true,marker:"circle-stroke"}) ,Plot.line(games7model021_111_acts[6], {x: "period", y: "bid", stroke:"Red",strokeWidth:1,tip:true,marker:"circle-stroke"}) ] })35:T78b,function market_clearing({generators:generators_actions,consumers:consumers_actions}){ // actions: [{action_id|player_id:val,cost:val, power:val},...] // sort by cost_bids let gen_arr = JSON.parse(JSON.stringify(generators_actions)).sort((a,b)=> a.cost - b.cost); let cons_arr = JSON.parse(JSON.stringify(consumers_actions)).sort((a,b)=> - (a.cost - b.cost) ); for( let i of gen_arr ) i.load = 0 for( let i of cons_arr ) i.load = 0 // go through both arrays let total_power = 0, total_consume = 0, last_gen = false, last_cons = false, i = 0, j = 0 for( ; i < gen_arr.length && j < cons_arr.length && gen_arr[i].cost <= cons_arr[j].cost ; ){ [last_gen ,last_cons] = [false ,false] let gen_diff = gen_arr[i].power-gen_arr[i].load, cons_diff = cons_arr[j].power-cons_arr[j].load; if( gen_diff < cons_diff ) { gen_arr[i].load = gen_arr[i].power cons_arr[j].load += gen_diff total_power += gen_diff total_consume += gen_diff i++ last_gen = true } else { gen_arr[i].load += cons_diff cons_arr[j].load = cons_arr[j].power total_power += cons_diff total_consume += cons_diff j+=1 last_cons = true } }// for // set MCP let MCP = (last_cons) ? gen_arr[i].cost : cons_arr[j].cost // bid proportional load for( let [k,g] of d3.flatGroup(gen_arr, d => d.cost) ){ if( g.length == 1 ) continue let [tot_load, tot_pow] = g.reduce((a,b) => [a[0]+b.load,a[1]+b.power] ,[0,0]) if( Math.abs(tot_load - tot_pow) < 0.000001 ) continue let koeff = tot_load / tot_pow for( let i = 0 ; i < gen_arr.length ; i++ ) { if( gen_arr[i].cost == k ) { gen_arr[i].load = gen_arr[i].power * koeff } } } //return MCP and loads return {generators:gen_arr,consumers:cons_arr, market_price:MCP, total_power: total_power} }36:T15ff,tests = [ {'name':'1C-5G-gen_cross' ,'desc':'Простой тест' ,'input':{ 'generators':[{player_id:1,cost:2,power:400}, {player_id:2,cost:4,power:400}, {player_id:3,cost:6,power:500}, {player_id:4,cost:12,power:200}, {player_id:5,cost:16,power:1300}] ,'consumers':[{player_id:-1,cost:10,power:1250}] } ,'output':{ 'generators':[{player_id:1,cost:2,power:400,load:400}, {player_id:2,cost:4,power:400,load:400}, {player_id:3,cost:6,power:500,load:450}, {player_id:4,cost:12,power:200,load:0}, {player_id:5,cost:16,power:1300,load:0}] ,'consumers':[{player_id:-1,cost:10,power:1250,load:1250}] ,market_price:6 ,total_power:1250 } } ,{'name':'1highC-5G-gen_cross' ,'desc':'Простой тест, потребитель высокий' ,'input':{ 'generators':[{player_id:1,cost:2,power:400}, {player_id:2,cost:4,power:400}, {player_id:3,cost:6,power:500}, {player_id:4,cost:12,power:200}, {player_id:5,cost:16,power:1300}] ,'consumers':[{player_id:-1,cost:20,power:1250}] } ,'output':{ 'generators':[{player_id:1,cost:2,power:400,load:400}, {player_id:2,cost:4,power:400,load:400}, {player_id:3,cost:6,power:500,load:450}, {player_id:4,cost:12,power:200,load:0}, {player_id:5,cost:16,power:1300,load:0}] ,'consumers':[{player_id:-1,cost:20,power:1250,load:1250}] ,market_price:6 ,total_power:1250 } } ,{ 'name':'2C-5G-gen_cross' ,'desc':'Тест цена генератора=цена потребителя' ,'input':{ 'generators':[{player_id:1,cost:2,power:400}, {player_id:2,cost:4,power:400}, {player_id:3,cost:6,power:500}, {player_id:4,cost:10,power:200}, {player_id:5,cost:16,power:1300}] ,'consumers':[{player_id:-1,cost:10,power:1250},{player_id:-2,cost:12,power:100}] } ,'output':{ 'generators':[{player_id:1,cost:2,power:400,load:400}, {player_id:2,cost:4,power:400,load:400}, {player_id:3,cost:6,power:500,load:500}, {player_id:4,cost:10,power:200,load:50}, {player_id:5,cost:16,power:1300,load:0}] ,'consumers':[{player_id:-2,cost:12,power:100,load:100},{player_id:-1,cost:10,power:1250,load:1250}] ,market_price:10 ,total_power:1350 } } ,{ 'name':'' ,'desc':'Тест: цены двух генераторов совпадают' ,'input':{ 'generators':[{player_id:1,cost:2,power:400}, {player_id:2,cost:4,power:400}, {player_id:3,cost:6,power:500}, {player_id:4,cost:6,power:100}, {player_id:5,cost:16,power:1300}] ,'consumers':[{player_id:-1,cost:10,power:1250}] } ,'output':{ 'generators':[{player_id:1,cost:2,power:400,load:400}, {player_id:2,cost:4,power:400,load:400}, {player_id:3,cost:6,power:500,load:375},{player_id:4,cost:6,power:100,load:75}, {player_id:5,cost:16,power:1300,load:0}] ,'consumers':[{player_id:-1,cost:10,power:1250,load:1250}] ,market_price:6 ,total_power:1250 } } ,{'name':'', 'desc':'Тест с пересечением по потребителю', 'input':{ 'generators':[{player_id:1,cost:2,power:400}, {player_id:2,cost:4,power:400}, {player_id:3,cost:6,power:500}, {player_id:4,cost:12,power:100}, {player_id:5,cost:16,power:1300}], 'consumers':[{player_id:-1,cost:10,power:1250},{player_id:-2,cost:12,power:100}]} ,'output':{ 'generators':[{player_id:1,cost:2,power:400,load:400}, {player_id:2,cost:4,power:400,load:400}, {player_id:3,cost:6,power:500,load:500},{player_id:4,cost:12,power:100,load:0}, {player_id:5,cost:16,power:1300,load:0}] ,'consumers':[{player_id:-2,cost:12,power:100,load:100},{player_id:-1,cost:10,power:1250,load:1200}] ,market_price:10 ,total_power:1300 } } ,{ 'name':'' ,'desc':'Тест цены двух потребителей совпадают - не нужен пока - потребители не играют а примерах нет такого кейса, в market_clearing можно повторить логику, сделанную для генераторов в цикле `for( let [k,g] of d3.flatGroup(gen_arr, d => d.cost) ){...}`' ,'input':{ 'generators':[{player_id:1,cost:2,power:400}, {player_id:2,cost:4,power:400}, {player_id:3,cost:6,power:500}, {player_id:4,cost:14,power:200}, {player_id:5,cost:16,power:1300}] ,'consumers':[{player_id:-2,cost:12,power:100},{player_id:-1,cost:12,power:1250}] } ,'output':{ 'generators':[{player_id:1,cost:2,power:400,load:400}, {player_id:2,cost:4,power:400,load:400}, {player_id:3,cost:6,power:500,load:500}, {player_id:4,cost:14,power:200,load:0}, {player_id:5,cost:16,power:1300,load:0}] ,'consumers':[{player_id:-2,cost:12,power:100,load:100},{player_id:-1,cost:10,power:1250,load:1250}] ,market_price:10 ,total_power:1300 } } ,{'name':'', 'desc':'Тест с нехваткой генераторов', 'input':{ 'generators':[{player_id:1,cost:2,power:200}, {player_id:2,cost:4,power:400}, {player_id:3,cost:6,power:500}], 'consumers':[{player_id:-1,cost:10,power:1250},{player_id:-2,cost:12,power:100}]} ,'output':{ 'generators':[{player_id:1,cost:2,power:200,load:200}, {player_id:2,cost:4,power:400,load:400}, {player_id:3,cost:6,power:500,load:500}] ,'consumers':[{player_id:-2,cost:12,power:100,load:100},{player_id:-1,cost:10,power:1250,load:1000}] ,market_price:10 ,total_power:1100 } } ]37:T996,// player_character: {min_cost:val, max_power:val} function best_response (player_id, player_character, game_situation, mode='CB', max_cost = 25) { let test = [] let situation = JSON.parse(JSON.stringify(game_situation)) // копируем, чтобы менять // рассчитываем множество действий let actions_set = [] if( mode == 'CB' ) { // Cournot+Bertrand if( player_character.length > 1 ) { // a player with 2 generators actions_set = d3.cross( d3.range(player_character[0].min_cost,max_cost+1,1), d3.range(100,player_character[0].max_power+100,100) ,d3.range(player_character[1].min_cost,max_cost+1,1), d3.range(100,player_character[1].max_power+100,100) ) //test.push({msg:'actionset',data:actions_set}) } else { actions_set = d3.cross( d3.range(player_character[0].min_cost,max_cost+1,1) ,d3.range(100,player_character[0].max_power+100,100) ) } } else if ( mode == 'B' ) { // Bertrand actions_set = d3.cross( d3.range(player_character[0].min_cost,max_cost+1,1), [player_character[0].max_power] ) } else if ( mode == 'C' ) { // Cournot actions_set = d3.cross( [player_character[0].min_cost] ,d3.range(100,player_character[0].max_power+100,100) ) } // ищем наилучший ответ let br_payoff = 0, br_cost = 0, br_power = 0, br_cost2 = 0, br_power2 = 0 let pl_gens = situation.generators.filter( d => d.player_id == player_id ) for( let [cost ,power ,cost2 ,power2] of actions_set ) { // set bid let ord = 1; for( let el of pl_gens ) { if(ord == 1) {el.cost = cost; el.power = power; ord += 1} else {el.cost = cost2; el.power = power2} } // меняется situation // calc payoff let res = market_clearing( situation ) let pl_res = res.generators.filter( d => d.player_id == player_id ) let pf = pl_res.reduce( (acc,el,ind) => acc + (res.market_price - player_character[ind].min_cost) * el.load ,0) //let pf = (res.market_price - player_character.min_cost) * pl_res.load //test.push(pf) // update maximum payoff if ( pf > br_payoff ) [br_payoff ,br_cost ,br_power ,br_cost2 ,br_power2] = [pf ,cost ,power ,cost2 ,power2] } if( player_character.length > 1 ) return [br_payoff ,{br_cost ,br_power ,br_cost2 ,br_power2} ,test] return [br_payoff ,{br_cost ,br_power} ,test] }38:T535,// gametype -> player -> parameters gametype_characters = { let characters = { 1:{ 1:{min_cost:2,max_power:400} ,2:{min_cost:4,max_power:500} ,3:{min_cost:6,max_power:500} ,4:{min_cost:10,max_power:200} ,5:{min_cost:12,max_power:600} ,6:{min_cost:13,max_power:1000} } ,2:{ 1:{min_cost:2,max_power:400} ,2:{min_cost:4,max_power:500} ,3:{min_cost:6,max_power:500} ,4:{min_cost:10,max_power:200} ,5:{min_cost:12,max_power:600} ,6:{min_cost:13,max_power:1000} } ,3:{ 1:{min_cost:2,max_power:400} ,2:{min_cost:4,max_power:500} ,3:{min_cost:6,max_power:500} ,4:{min_cost:10,max_power:200} ,5:{min_cost:12,max_power:600} ,6:{min_cost:13,max_power:1000} } ,7:{ 1:[{min_cost:2,max_power:400,gen_id:1},{min_cost:12,max_power:500,gen_id:2}] ,2:[{min_cost:4,max_power:400,gen_id:1},{min_cost:10,max_power:300,gen_id:2}] ,3:{min_cost:6,max_power:600} ,4:{min_cost:13,max_power:1250} } } for ( let g in characters ) { for( let pl in characters[g] ) { if( ! Array.isArray(characters[g][pl]) ) { characters[g][pl] = [Object.assign(characters[g][pl],{gen_id:1})] } } } return characters }39:T6de,// actions - массив объектов {player:x, bid:x, gencons:x, powercost:x, ...} // // function actions_to_situation(actions,generator_characters, consumer_characters){ let generators = [] for( let el in generator_characters ) { let pl_gens = generator_characters[el].map( // истинные генераторы игрока d => ({ player_id: el ,cost: d.min_cost ,power: d.max_power ,gen_id:d.gen_id }) ) let pl_acts = actions.filter( d=>d.player==el ) // действия/заявки игрока let double_generator = false for( let a of pl_acts ) { if( _.isNull(a.bid) || _.isUndefined(a.bid) ) continue let gen_ind = parseInt(a.gencons[1]) // из строки "G1" берём 1 - номер генератора let g = pl_gens.find(d=>d.gen_id==gen_ind) if ( gen_ind == 2 ) double_generator = true // флаг что была заявка по второму генератору if( a.powercost == 'C' ) g.cost = a.bid if( a.powercost == 'P' ) g.power = a.bid } generators.push( ...pl_gens ) //if( double_generator ) // получается в генераторы игрока добавляется его второй, только если он по нему подавал заявку // generators.push( pl_gens[1] ) } let consumers = [] for( let k in consumer_characters ) { consumers.push( { player_id: k, cost:consumer_characters[k].max_cost, power:consumer_characters[k].max_power } ) } return { generators, consumers } }3a:T69e,games_br = { let games_br = [] let prevstep = false for( let step of gamesCB_steps ) { // если началась новая игра, то сохраняем шаг как предыдущий и переходим к следующему if( !prevstep || !deepEqual(prevstep.slice(0,3),step.slice(0,3)) ) { prevstep = step continue } let mode = { 1:'B' ,3:'C' ,7:'CB' }[ step[2] ] // 1 - Бертран, 3 - Курно, 7 - Курно+Бертран let actions = prevstep[4] // считаем ситуацию на прошлом шаге let prevsit = actions_to_situation(actions, gametype_characters[step[2]], characters13_consumers) let bar = {year:step[0] ,serie:step[1] ,gametype_name:actions[0].gametype_name ,period:step[3] ,model_id: 'br'} // Общие поля для добавления for( let pl_id of [1,2,3] ) { let [br_payoff ,br_action ,test] = best_response(pl_id, gametype_characters[step[2]][pl_id], prevsit, mode) games_br.push(_.assign({player:pl_id ,gencons:"G1" ,powercost:"P" ,bid: br_action.br_power, model_payoff:br_payoff}, bar)) games_br.push(_.assign({player:pl_id ,gencons:"G1" ,powercost:"C" ,bid: br_action.br_cost, model_payoff:br_payoff}, bar)) if( br_action.br_cost2 > -1 ) { games_br.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"P" ,bid: br_action.br_power2, model_payoff:br_payoff}, bar)) games_br.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"C" ,bid: br_action.br_cost2, model_payoff:br_payoff}, bar)) } } prevstep = step } return games_br }3b:T665,games_13_br = { let games_br = [] let prevstep = false for( let step of games_steps ) { // если началась новая игра, то сохраняем шаг как предыдущий и переходим к следующему if( !prevstep || !deepEqual(prevstep.slice(0,3),step.slice(0,3)) ) { prevstep = step continue } let mode = { 1:'B' ,3:'C' ,7:'CB' }[ step[2] ] // 1 - Бертран, 3 - Курно, 7 - Курно+Бертран let actions = prevstep[4] // считаем ситуацию let sit = actions_to_situation(actions, gametype_characters[step[2]], characters13_consumers) let bar = {year:step[0] ,serie:step[1] ,gametype_name:actions[0].gametype_name ,period:step[3] ,model_id: 'br'} // Общие поля для добавления for( let pl_id of [1,2,3] ) { let [br_payoff ,br_action ,test] = best_response(pl_id, gametype_characters[step[2]][pl_id], sit, mode) games_br.push(_.assign({player:pl_id ,gencons:"G1" ,powercost:"P" ,bid: br_action.br_power, model_payoff:br_payoff}, bar)) games_br.push(_.assign({player:pl_id ,gencons:"G1" ,powercost:"C" ,bid: br_action.br_cost, model_payoff:br_payoff}, bar)) if( br_action.br_cost2 > -1 ) { games_br.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"P" ,bid: br_action.br_power2, model_payoff:br_payoff}, bar)) games_br.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"C" ,bid: br_action.br_cost2, model_payoff:br_payoff}, bar)) } } } return games_br }3c:T1162,games_reflexive_021 = { // игрок 1 - 0 ранг, 2 - 2-й ранг, 3 - 1 ранг рефлексии /* let games_refl = [] let prevstep = false for( let step of gamesCB_steps ) { // step: 0 - год, 1 - серия (4), 2 - тип (7), 3 - период, 4 - действия // если началась новая игра, то сохраняем шаг как предыдущий и переходим к следующему if( !prevstep || !_.isEqual(prevstep.slice(0,3),step.slice(0,3)) ) { prevstep = step continue } let mode = { 1:'B' ,3:'C' ,7:'CB' }[ step[2] ] // 1 - Бертран, 3 - Курно, 7 - Курно+Бертран let actions = prevstep[4] // считаем ситуацию let sit = actions_to_situation(actions, gametype_characters[step[2]], characters13_consumers) let bar = {year:step[0] ,serie:step[1] ,gametype_name:actions[0].gametype_name ,period:step[3] ,model_id: 'refl-rank0'} // Общие поля для добавления const pl_actions = d3.group(actions, d=>d.player) //for( let i = 0 ; i < actions.length ; i++ ) {// считает рефлексивную модель для всех игроков на каждом шаге игры // let pl_id = actions[i].player //if( pl_id == 1 ) { { let pl_id = 1; // rank 0 powercost bid let [c ,p ,c2 ,p2] = rank0_action(pl_id ,actions) bar.model_id = "refl-rank0" games_refl.push(_.assign({player:pl_id ,gencons:"G1" ,powercost:"P" ,bid: p, model_payoff:null}, bar)) games_refl.push(_.assign({player:pl_id ,gencons:"G1" ,powercost:"C" ,bid: c, model_payoff:null}, bar)) if( c2 ) { games_refl.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"P" ,bid: p2, model_payoff:null}, bar)) games_refl.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"C" ,bid: c2, model_payoff:null}, bar)) } } //else if( pl_id == 2 ) { { let pl_id = 2; // rank 2 let refl_sit = JSON.parse(JSON.stringify(sit)) // deep copy object let pl3_gens = refl_sit.generators.filter( g=>g.player_id==3 ) let br_actions = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-3'] let second_generator = false // вставляем наилучший ответ 3-го игрока в его ситуацию for ( let act of br_actions ) { let gen_ind = parseInt(act.gencons[1]);// из строки "G1" берём 1 let g = pl3_gens.find(d=>d.gen_id==gen_ind); if ( gen_ind == 2 ) second_generator = true // флаг что была заявка по второму генератору if( act.powercost == 'C' ) g.cost = act.bid if( act.powercost == 'P' ) g.power = act.bid } bar.model_id = "refl-rank2" let [br_payoff ,br_action ,test] = best_response(pl_id, gametype_characters[step[2]][pl_id], refl_sit, mode) games_refl.push(_.assign({player:pl_id ,gencons:"G1",powercost:"P",bid: br_action.br_power, model_payoff:br_payoff}, bar)) games_refl.push(_.assign({player:pl_id ,gencons:"G1" ,powercost:"C",bid: br_action.br_cost, model_payoff:br_payoff}, bar)) if( br_action.br_cost2 > -1 ) { games_refl.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"P" ,bid: br_action.br_power2, model_payoff:br_payoff}, bar)) games_refl.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"C" ,bid: br_action.br_cost2, model_payoff:br_payoff}, bar)) } } //else if( pl_id == 3 ) { { let pl_id = 3; // rank 1 let br_actions = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+pl_id] for (let a of br_actions) { games_refl.push(a) } } //} // for actions } // for step return games_refl */ }3d:T122a,games_reflexive_112 = { /* let games_refl = [] let prevstep = false for( let step of gamesCB_steps ) { // step: 0 - год, 1 - серия (4), 2 - тип (7), 3 - период, 4 - действия // если началась новая игра, то сохраняем шаг как предыдущий и переходим к следующему if( !prevstep || !_.isEqual(prevstep.slice(0,3),step.slice(0,3)) ) { prevstep = step continue } let mode = { 1:'B' ,3:'C' ,7:'CB' }[ step[2] ] // 1 - Бертран, 3 - Курно, 7 - Курно+Бертран let actions = prevstep[4] // считаем ситуацию let sit = actions_to_situation(actions, gametype_characters[step[2]], characters13_consumers) let bar = {year:step[0] ,serie:step[1] ,gametype_name:actions[0].gametype_name ,period:step[3] ,model_id: 'refl-rank0'} // Общие поля для добавления const pl_actions = d3.group(actions, d=>d.player) // for( let i = 0 ; i < actions.length ; i++ ) {// считает best response для всех игроков // let pl_id = actions[i].player // if( pl_id == 1 ) { { let pl_id = 1; // rank 1 let br_actions = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+pl_id] for (let a of br_actions) { games_refl.push(a) } } // else if( pl_id == 2 ) { { let pl_id = 2; // rank 1 let br_actions = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+pl_id] for (let a of br_actions) { games_refl.push(a) } } // else if( pl_id == 3 ) { { let pl_id = 3; // rank 2 let refl_sit = JSON.parse(JSON.stringify(sit)) // deep copy object let rank1_gens = refl_sit.generators.filter( g=>g.player_id==2 ) let br_actions = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-2'] // think about player 2 as rank 1 let second_generator = false // вставляем наилучший ответ 2-го игрока в его ситуацию for ( let act of br_actions ) { let gen_ind = parseInt(act.gencons[1]);// из строки "G1" берём 1 let g = rank1_gens.find(d=>d.gen_id==gen_ind); if ( gen_ind == 2 ) second_generator = true // флаг что была заявка по второму генератору if( act.powercost == 'C' ) g.cost = act.bid if( act.powercost == 'P' ) g.power = act.bid } rank1_gens = refl_sit.generators.filter( g=>g.player_id==1 ) br_actions = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-1'] // think about player 1 as rank 1 second_generator = false // вставляем наилучший ответ 1-го игрока в его ситуацию for ( let act of br_actions ) { let gen_ind = parseInt(act.gencons[1]);// из строки "G1" берём 1 let g = rank1_gens.find(d=>d.gen_id==gen_ind); if( _.isUndefined(g) ) console.log( 'here: ',step ) if ( gen_ind == 2 ) second_generator = true // флаг что была заявка по второму генератору if( act.powercost == 'C' ) g.cost = act.bid if( act.powercost == 'P' ) g.power = act.bid } bar.model_id = "refl-rank2" let [br_payoff ,br_action ,test] = best_response(pl_id, gametype_characters[step[2]][pl_id], refl_sit, mode) games_refl.push(_.assign({player:pl_id ,gencons:"G1",powercost:"P",bid: br_action.br_power, model_payoff:br_payoff}, bar)) games_refl.push(_.assign({player:pl_id ,gencons:"G1" ,powercost:"C",bid: br_action.br_cost, model_payoff:br_payoff}, bar)) if( br_action.br_cost2 > -1 ) { games_refl.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"P" ,bid: br_action.br_power2, model_payoff:br_payoff}, bar)) games_refl.push(_.assign({player:pl_id ,gencons:"G2" ,powercost:"C" ,bid: br_action.br_cost2, model_payoff:br_payoff}, bar)) } } }// for return games_refl */ }3e:Ta7a,function add_rank2_actions(to_array ,player_id ,situation ,step ,calculatedbr_map ,bar ,generators_characters ,mode) { let refl_sit = JSON.parse(JSON.stringify(situation)) // deep copy object let other_players = [1,2,3].filter(d=>d!=player_id) let rank1_gens = refl_sit.generators.filter( g=>g.player_id == other_players[0] ) let br_actions = calculatedbr_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+other_players[0]] // think about player as rank 1 let second_generator = false // вставляем наилучший ответ игрока в его ситуацию for ( let act of br_actions ) { let gen_ind = parseInt(act.gencons[1]);// из строки "G1" берём 1 let g = rank1_gens.find(d=>d.gen_id==gen_ind); if ( gen_ind == 2 ) second_generator = true // флаг что была заявка по второму генератору if( act.powercost == 'C' ) g.cost = act.bid if( act.powercost == 'P' ) g.power = act.bid } rank1_gens = refl_sit.generators.filter( g=>g.player_id == other_players[1] ) br_actions = calculatedbr_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+other_players[1]] // think about player as rank 1 second_generator = false // вставляем наилучший ответ игрока в его ситуацию for ( let act of br_actions ) { let gen_ind = parseInt(act.gencons[1]);// из строки "G1" берём 1 let g = rank1_gens.find(d=>d.gen_id==gen_ind); if( _.isUndefined(g) ) console.log( 'here: ',step ) if ( gen_ind == 2 ) second_generator = true // флаг что была заявка по второму генератору if( act.powercost == 'C' ) g.cost = act.bid if( act.powercost == 'P' ) g.power = act.bid } bar.model_id = "refl-rank2" let [br_payoff ,br_action ,test] = best_response(player_id, generators_characters[step[2]][player_id], refl_sit, mode) to_array.push(_.assign({player:player_id ,gencons:"G1" ,powercost:"P",bid: br_action.br_power, model_payoff:br_payoff}, bar)) to_array.push(_.assign({player:player_id ,gencons:"G1" ,powercost:"C",bid: br_action.br_cost, model_payoff:br_payoff}, bar)) if( br_action.br_cost2 > -1 ) { to_array.push(_.assign({player:player_id ,gencons:"G2" ,powercost:"P" ,bid: br_action.br_power2, model_payoff:br_payoff}, bar)) to_array.push(_.assign({player:player_id ,gencons:"G2" ,powercost:"C" ,bid: br_action.br_cost2, model_payoff:br_payoff}, bar)) } } // add_rank2_actions3f:T96f,function calc_reflexive_model(ranks ,history_steps ,generators_characters ,consumer_characters ,calculatedbr_map) { let games_refl = [] let prevstep = false for( let step of history_steps ) { // step: 0 - год, 1 - серия (4), 2 - тип (7), 3 - период, 4 - действия // если началась новая игра, то сохраняем шаг как предыдущий и переходим к следующему if( !prevstep || !_.isEqual(prevstep.slice(0,3),step.slice(0,3)) ) { prevstep = step continue } let mode = { 1:'B' ,3:'C' ,7:'CB' }[ step[2] ] // 1 - Бертран, 3 - Курно, 7 - Курно+Бертран let actions = prevstep[4] // считаем ситуацию на прошлом шаге let sit = actions_to_situation(actions, generators_characters[step[2]], consumer_characters) let bar = {year:step[0] ,serie:step[1] ,gametype_name:actions[0].gametype_name ,period:step[3] ,model_id: 'refl-rank0'} // Общие поля для добавления const pl_actions = d3.group(actions, d=>d.player) { let pl_id = 1; if ( ranks[0] == 0 ) add_rank0_actions( games_refl ,pl_id ,actions ,bar ) if ( ranks[0] == 1 ) add_rank1_actions( games_refl ,calculatedbr_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+pl_id] ) if ( ranks[0] == 2 ) add_rank2_actions( games_refl ,pl_id ,sit ,step ,calculatedbr_map ,bar ,generators_characters ,mode ) } { let pl_id = 2; if ( ranks[1] == 0 ) add_rank0_actions( games_refl ,pl_id ,actions ,bar ) if ( ranks[1] == 1 ) add_rank1_actions( games_refl ,calculatedbr_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+pl_id] ) if ( ranks[1] == 2 ) add_rank2_actions( games_refl ,pl_id ,sit ,step ,calculatedbr_map ,bar ,generators_characters ,mode ) } { let pl_id = 3; if ( ranks[2] == 0 ) add_rank0_actions( games_refl ,pl_id ,actions ,bar ) if ( ranks[2] == 1 ) add_rank1_actions( games_refl ,calculatedbr_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+pl_id] ) if ( ranks[2] == 2 ) add_rank2_actions( games_refl ,pl_id ,sit ,step ,calculatedbr_map ,bar ,generators_characters ,mode ) } prevstep = step }// for return games_refl }40:Taa3,/*games_reflexive_112_old = { let games_refl = [] let prevstep = false for( let step of games_steps ) { // если началась новая игра, то сохраняем шаг как предыдущий и переходим к следующему if( !prevstep || !_.isEqual(prevstep.slice(0,3),step.slice(0,3)) ) { prevstep = step continue } let mode = ( step[2] == 1 ) ? 'B' : 'C' // 1 - Бертран, 3 - Курно let actions = prevstep[4] // считаем ситуацию let sit = actions_to_situation(actions, characters13, characters13_consumers) for( let i = 0 ; i < actions.length ; i++ ) {// считает best response для всех игроков let pl_id = actions[i].player if( pl_id == 1 ) { // rank 1 let {model_cost ,model_power} = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+pl_id] games_refl.push({year:step[0] ,serie:step[1] ,gametype_name:actions[i].gametype_name ,period:step[3] ,player:pl_id ,model_cost:model_cost ,model_power:model_power, model_payoff:null, model_id: 'refl-rank1'}) } else if( pl_id == 2 ) { // rank 1 let {model_cost ,model_power} = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-'+pl_id] games_refl.push({year:step[0] ,serie:step[1] ,gametype_name:actions[i].gametype_name ,period:step[3] ,player:pl_id ,model_cost:model_cost ,model_power:model_power, model_payoff:null, model_id: 'refl-rank1'}) } else if( pl_id == 3 ) { // rank 2 let refl_sit = JSON.parse(JSON.stringify(sit)) let pl1_gen = refl_sit.generators.filter( g=>g.player_id==1 )[0] ,pl2_gen = refl_sit.generators.filter( g=>g.player_id==2 )[0]; {let {model_cost ,model_power} = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-1'] pl1_gen.cost = model_cost pl1_gen.power = model_power} {let {model_cost ,model_power} = games_br_map[step[0]+'-'+step[1]+'-'+step[3]+'-2'] pl2_gen.cost = model_cost pl2_gen.power = model_power} let [br_payoff ,br_cost ,br_power ,test] = best_response(pl_id, characters13[pl_id], refl_sit, mode) games_refl.push({year:step[0] ,serie:step[1] ,gametype_name:actions[i].gametype_name ,period:step[3] ,player:pl_id ,model_cost:br_cost ,model_power:br_power, model_payoff:br_payoff, model_id: 'refl-rank2'}) } } } return games_refl }*/41:[{"id":"390072bc4f6bf5c5c5493ce4037d7015685af5949d7e8a80e9ca34fbceece65d577fee3d9e9f96071df0567fcd21baa8d3af2daf6697fa3b5cb06d6aef499c22","href":"https://static.observableusercontent.com/files/390072bc4f6bf5c5c5493ce4037d7015685af5949d7e8a80e9ca34fbceece65d577fee3d9e9f96071df0567fcd21baa8d3af2daf6697fa3b5cb06d6aef499c22","name":"db Electric market 2018-2020 - db.csv","type":"text/csv","lastModified":1689518193159.895,"size":15297},{"id":"df1d1ba7188ff7ef85151ccaa6b0bd62b7424880f4abb13b27d1c50256fd47bbdb599b91cf65f2769b7be85a39bde9d21eabbcab5c29631cedbc1e290e686889","href":"https://static.observableusercontent.com/files/df1d1ba7188ff7ef85151ccaa6b0bd62b7424880f4abb13b27d1c50256fd47bbdb599b91cf65f2769b7be85a39bde9d21eabbcab5c29631cedbc1e290e686889","name":"db Electric market 2018-2020 - Results.csv","type":"text/csv","lastModified":1689518201869.24,"size":10496},{"id":"caa44faf245e6bec4e9ca4e855bc03989a1495079ad1684c9c97fae8327b20f955d9cdef38ef1f4b3236b0b4b4fdfde3d67413bfce8823d69a75611aa9fe43ac","href":"https://static.observableusercontent.com/files/caa44faf245e6bec4e9ca4e855bc03989a1495079ad1684c9c97fae8327b20f955d9cdef38ef1f4b3236b0b4b4fdfde3d67413bfce8823d69a75611aa9fe43ac","name":"db Electric market 2018-2020 - db@1.csv","type":"text/csv","lastModified":1690011859676.311,"size":15270}] 2d:{"title":"Model check - проверка рефлексивных моделей на соотв-ие истории игры","cells":[{"id":0,"value":"# Model check - проверка рефлексивных моделей на соотв-ие истории игры","pinned":false,"hidden":false,"mode":"md"},{"id":509,"value":"бэклог\n1. ~~тесты market_clearing~~\n2. тесты best_response - для Курно, Бертрана и Курно-Бертрана\n3. тест оценки истории и истории (история на самой себе) - оценка должна быть [0,0]\n4. модель рефлексии\n5. функции на неполных данных - когда bid = null и т.п.","pinned":false,"hidden":false,"mode":"md"},{"id":930,"value":"## 1. Исходные данные игр студентов в наши игры","pinned":false,"hidden":false,"mode":"md"},{"id":944,"value":"Подключение к данным, прикреплённым (значок скрепки справа) к странице","pinned":false,"hidden":false,"mode":"md"},{"id":1947,"value":"SELECT * FROM \"results\" where GameType=7 and (Game=2020 or Game=2021)","pinned":true,"hidden":false,"mode":"sql","output":"game7results","database":"var:energydb"},{"id":15,"value":"energydb = DuckDBClient.of({\n actions: FileAttachment(\"db Electric market 2018-2020 - db@1.csv\"),\n results: FileAttachment(\"db Electric market 2018-2020 - Results.csv\")\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":935,"value":"Данные простых игр: заявки по одному параметру - объём (модель Курно, gametype=3) или цена (модель Бертрана, gametype=1) электроэнергии","pinned":false,"hidden":false,"mode":"md"},{"id":19,"value":"select * from actions where gametype=1 or gametype=3 order by year,gametype,period, player","pinned":true,"hidden":false,"mode":"sql","output":"game13data","database":"var:energydb"},{"id":938,"value":"Данные сложных игр (Курно-Бертрана, gametype=7): заявки по двум параметрам генераторов, у двух игроков по два генератора","pinned":false,"hidden":false,"mode":"md"},{"id":805,"value":"SELECT * FROM \"actions\" where gametype=7 order by year,gametype,period,player","pinned":true,"hidden":false,"mode":"sql","output":"game7data","database":"var:energydb"},{"id":1441,"value":"## 7. Поиск наилучшего набора рангов","pinned":false,"hidden":false,"mode":"md"},{"id":1444,"value":"Рассчитать - сохранить в CSV - прикрепить к ноутбуку - провести отбор","pinned":false,"hidden":false,"mode":"md"},{"id":1438,"value":"// множество всех возможных наборов рангов рефлексии\nset_of_ranks = d3.cross( d3.range(3) ,[0,1,2] ,[0,1,2] )","pinned":true,"hidden":false,"mode":"ojs"},{"id":1500,"value":"// данные по оценке моделей\ngraph_data = _.map(_.toPairs(set_of_refl_models), d=> [d[0].split('-').join(',') ,d[1][1][0],d[1][1][1],d[1][1][2] ,d[1][0][0],d[1][0][1],d[1][0][2]] )","pinned":true,"hidden":false,"mode":"ojs"},{"id":1684,"value":"// данные поведения всех вариантов рангов для 3 игроков моделей рефлексии для игр типа 7\nacts_data = _.map(_.toPairs(set_of_refl_models), d=> [d[0] ,d[1][3][0],d[1][3][1] ] )","pinned":true,"hidden":false,"mode":"ojs"},{"id":2019,"value":"// синоним\nrefl_models_all_variants = acts_data","pinned":true,"hidden":false,"mode":"ojs"},{"id":1706,"value":"## Дебаг действий игроков acts_data","pinned":false,"hidden":false,"mode":"md"},{"id":1727,"value":"function add_rank1_actions(to_array ,br_of_player) {\n for (let a of br_of_player) {\n to_array.push(a)\n }\n}","pinned":true,"hidden":false,"mode":"md"},{"id":1716,"value":"$2f","pinned":true,"hidden":false,"mode":"md"},{"id":1639,"value":"график действий игрока и график BR и 2 рефлексии ну и 0 уж тогда","pinned":false,"hidden":false,"mode":"md"},{"id":1689,"value":"games7player2real = game7data.filter(d=> d.year!=2019 && d.player==2 && d.gencons=='G1')","pinned":true,"hidden":false,"mode":"ojs"},{"id":1693,"value":"games7player2ranks_acts = [acts_data[0],acts_data[3],acts_data[6]].map( d => d[2].filter( dd => dd.player==2 && dd.gencons=='G1' ) )","pinned":true,"hidden":false,"mode":"ojs"},{"id":1749,"value":"games7player2cost_acts = {\n const T = 'C';\n return [ games7player2real.filter( d=>d.powercost==T ), games7player2ranks_acts[0].filter( d=>d.powercost==T ) ,games7player2ranks_acts[1].filter( d=>d.powercost==T ) ,games7player2ranks_acts[2].filter( d=>d.powercost==T ) ]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1852,"value":"## Графики сразу для 3 игроков","pinned":false,"hidden":false,"mode":"md"},{"id":1930,"value":"Ранги по индексам элементов массива acts_data:\n\n0 9 18 - ранги 0,1,2 для игрока 1\n\n0 3 6 - ранги 0,1,2 для игрока 2\n\n0 1 2 - ранги 0,1,2 для игрока 3","pinned":false,"hidden":false,"mode":"md"},{"id":1865,"value":"acts_data[0]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1855,"value":"games7model021_111_acts = {\n const T = 'P'\n const G = 'G2'\n const Y = 2020\n return [ \n game7data.filter(d=> d.year==Y && d.player==1 && d.gencons==G && d.powercost==T)\n ,game7data.filter(d=> d.year==Y && d.player==2 && d.gencons==G && d.powercost==T)\n ,game7data.filter(d=> d.year==Y && d.player==3 && d.gencons==G && d.powercost==T)\n ,acts_data[0][2].filter( d=> d.year==Y && d.player==1 && d.gencons==G && d.powercost==T )\n ,acts_data[6][2].filter( d=> d.year==Y && d.player==2 && d.gencons==G && d.powercost==T )\n ,acts_data[1][2].filter( d=> d.year==Y && d.player==3 && d.gencons==G && d.powercost==T )\n ,acts_data[9][2].filter( d=> d.year==Y && d.player==1 && d.gencons==G && d.powercost==T )\n ,acts_data[3][2].filter( d=> d.year==Y && d.player==2 && d.gencons==G && d.powercost==T )\n ,acts_data[1][2].filter( d=> d.year==Y && d.player==3 && d.gencons==G && d.powercost==T )\n ]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1939,"value":"games7payoffs = {\n const Y = 2021\n let t1 = game7results.filter(d=> d.Game==Y && d.Player==1 )\n t1 = t1.map( d => { d.Payoff = parseFloat(d.Payoff); return d } )\n let t2 = game7results.filter(d=> d.Game==Y && d.Player==2 )\n t2 = t2.map( d => { d.Payoff = parseFloat(d.Payoff); return d } )\n let t3 = game7results.filter(d=> d.Game==Y && d.Player==3 )\n t3 = t3.map( d => { d.Payoff = parseFloat(d.Payoff); return d } )\n return [ \n t1\n ,t2\n ,t3\n ,acts_data[0][2].filter( d=> d.year==Y && d.player==1 )\n ,acts_data[6][2].filter( d=> d.year==Y && d.player==2 )\n ,acts_data[1][2].filter( d=> d.year==Y && d.player==3 )\n ,acts_data[9][2].filter( d=> d.year==Y && d.player==1 )\n ,acts_data[3][2].filter( d=> d.year==Y && d.player==2 )\n ,acts_data[1][2].filter( d=> d.year==Y && d.player==3 )\n ]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1850,"value":"$30","pinned":true,"hidden":false,"mode":"ojs"},{"id":2034,"value":"## Выигрыши моделей, код MG\n1. Для каждого шага игры собрать: реальные действия, действия моделей 0,1,2 ранга для каждого игрока\n2. Для каждого игрока посчитать его выигрыш при реальных дествиях остальных игроков и действиях когда он выбирает: реальное действие, и действия 0-2 ранга\n3. Вывести на графиках\n\n Почему для 2 игрока в 2020 на 8 периоде у 0 ранга 2 действия - только для одного генератора","pinned":false,"hidden":false,"mode":"md"},{"id":2177,"value":"refl_models_all_variants[0][2].filter( d=> d.year==2020 && d.period==8 && d.player==2 )","pinned":true,"hidden":false,"mode":"ojs"},{"id":2004,"value":"$31","pinned":true,"hidden":false,"mode":"ojs"},{"id":2050,"value":"$32","pinned":true,"hidden":false,"mode":"ojs"},{"id":2121,"value":"$33","pinned":true,"hidden":false,"mode":"ojs"},{"id":2130,"value":"year_n_player_payoffs = d3.group(payoffs_for_figures.filter(d=>d.period>1) ,d=>d.year)","pinned":true,"hidden":false,"mode":"ojs"},{"id":2127,"value":"Plot.plot({\n title:\"Платежи реальные и модели, 2020 год\",\n width: 1000,\n height: 600,\n x: {grid: true, label: \"Период\"}, y: {grid: true, label: \"Платёж\"},\n color: {legend: true},\n marks: [\n Plot.line(year_n_player_payoffs.get(2020).filter(d=>d.model!='real') ,{x: \"period\", y: \"payoff\" ,z:\"model\" ,fy:\"player\" ,stroke:\"model\" ,tip: true})\n ,Plot.line(year_n_player_payoffs.get(2020).filter(d=>d.model=='real') ,{x: \"period\", y: \"payoff\" ,z:\"model\" ,fy:\"player\" ,stroke: \"black\",strokeWidth:3,strokeDasharray:\"3 10\",tip: true})\n /*,Plot.line(year_n_player_payoffs.get(2020) ,{x: \"period\", y: \"payoff\" ,z:\"model\" ,stroke:\"red\",strokeWidth:4,strokeDasharray:\"10 10\",tip:true})\n ,Plot.line(year_n_player_payoffs.get(2020) ,{x: \"period\", y: \"payoff\" ,z:\"model\" ,stroke: \"black\",strokeWidth:1.5,tip: true})*/\n ]\n })","pinned":true,"hidden":false,"mode":"ojs"},{"id":2160,"value":"Plot.plot({\n title:\"Платежи реальные и модели, 2021 год\",\n width: 1000,\n height: 600,\n x: {grid: true, label: \"Период\"}, y: {grid: true, label: \"Платёж\"},\n color: {legend: true},\n marks: [\n Plot.line(year_n_player_payoffs.get(2021).filter(d=>d.model!='real') ,{x: \"period\", y: \"payoff\" ,z:\"model\" ,fy:\"player\" ,stroke:\"model\" ,tip: true})\n ,Plot.line(year_n_player_payoffs.get(2021).filter(d=>d.model=='real') ,{x: \"period\", y: \"payoff\" ,z:\"model\" ,fy:\"player\" ,stroke: \"black\",strokeWidth:3,strokeDasharray:\"3 10\",tip: true})\n /*,Plot.line(year_n_player_payoffs.get(2020) ,{x: \"period\", y: \"payoff\" ,z:\"model\" ,stroke:\"red\",strokeWidth:4,strokeDasharray:\"10 10\",tip:true})\n ,Plot.line(year_n_player_payoffs.get(2020) ,{x: \"period\", y: \"payoff\" ,z:\"model\" ,stroke: \"black\",strokeWidth:1.5,tip: true})*/\n ]\n })","pinned":true,"hidden":false,"mode":"ojs"},{"id":1960,"value":"$34","pinned":true,"hidden":false,"mode":"ojs"},{"id":1871,"value":"## Графики для одного игрока","pinned":false,"hidden":false,"mode":"md"},{"id":1753,"value":"Plot.plot({\n title: \"Игра 2020, по цене, 2-й игрок, 1-й генератор\",\n x: {grid: true, label: \"По цене\"}, y: {grid: true, label: \"По мощности\"},\n marks: [\n Plot.line(games7player2cost_acts[3].filter(d=>d.year==2020), {x: \"period\", y: \"bid\", stroke: \"red\", strokeWidth: 6 ,tip: true})\n ,Plot.line(games7player2cost_acts[2].filter(d=>d.year==2020), {x: \"period\", y: \"bid\", stroke: \"Blue\", strokeWidth: 3 ,tip: true})\n ,Plot.line(games7player2cost_acts[0].filter(d=>d.year==2020), {x: \"period\", y: \"bid\", stroke: \"black\", tip: true})\n ]\n })","pinned":true,"hidden":false,"mode":"ojs"},{"id":1783,"value":"Plot.plot({\n title: \"Игра 2021, по мощности, 2-й игрок, 2-й генератор\",\n x: {grid: true, label: \"По цене\"}, y: {grid: true, label: \"По мощности\"},\n marks: [\n Plot.line(games7player2cost_acts[3].filter(d=>d.year==2021), {x: \"period\", y: \"bid\", stroke: \"red\", strokeWidth: 6 ,tip: true})\n ,Plot.line(games7player2cost_acts[2].filter(d=>d.year==2021), {x: \"period\", y: \"bid\", stroke: \"blue\", strokeWidth: 3 ,tip: true})\n ,Plot.line(games7player2cost_acts[0].filter(d=>d.year==2021), {x: \"period\", y: \"bid\", stroke: \"black\", tip: true})\n ]\n })","pinned":true,"hidden":false,"mode":"ojs"},{"id":1509,"value":"График оценок моделей по цене\nГрафик оценок моделей по мощности","pinned":false,"hidden":false,"mode":"md"},{"id":1558,"value":"Plot.plot({\n /*title: \"Оценки для игр типа [7]\",*/\n width: 800,\n height: 500,\n x: {grid: true, label: \"По цене\"}, y: {grid: true, label: \"По мощности\"},\n marks: [\n Plot.dot(graph_data, {x: \"2\", y: \"3\", stroke: \"#000000\", tip: true})\n ,Plot.text(graph_data, {x: \"2\", y: \"3\", text: \"0\" ,dx:-22 ,dy: 10, lineAnchor: \"bottom\"}),\n ]\n })","pinned":true,"hidden":false,"mode":"ojs"},{"id":1807,"value":"gamesCB_steps","pinned":true,"hidden":false,"mode":"ojs"},{"id":1449,"value":"set_of_refl_models = {\n let rmods = {}\n for( let ind of set_of_ranks ) {\n let str = ind[0]+'-'+ind[1]+'-'+ind[2]\n rmods[str] = 'megamodel'\n let tmp_7_refl = calc_reflexive_model(ind ,gamesCB_steps.filter(d=>d[0]!=2019) ,gametype_characters ,characters13_consumers ,games_br_map)\n let tmp_13_refl = calc_reflexive_model(ind ,games_steps ,gametype_characters ,characters13_consumers ,games_13_br_map)\n let m2_7 = model_score({game_history:game7data.filter(d=>d.year!=2019), model_results:tmp_7_refl})\n let m2_13 = model_score({game_history:game13data, model_results:tmp_13_refl})\n rmods[str] = [ ['13' ,Math.sqrt(m2_13[0]) ,Math.sqrt(m2_13[1])] ,['7' ,Math.sqrt(m2_7[0]) ,Math.sqrt(m2_7[1])] ,['13acts', tmp_13_refl], ['7acts',tmp_7_refl] ]\n }\n return rmods\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":2184,"value":"gamesCB_steps.filter(d=>d[0]!=2019)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1496,"value":"{ // простой поиск одной из точек Парето\n let min13 = ['13',100000,100000], ranks13 = null, min7 = ['7',1000000,1000000], ranks7 = null;\n for( let i in set_of_refl_models ) {\n if( set_of_refl_models[i][0][1] <= min13[1] && set_of_refl_models[i][0][2] <= min13[2] ){\n min13 = set_of_refl_models[i][0]\n ranks13 = i\n }\n if( set_of_refl_models[i][1][1] <= min7[1] && set_of_refl_models[i][1][2] <= min7[2] ){\n min7 = set_of_refl_models[i][1]\n ranks7 = i\n }\n }\n return {min13,ranks13,min7,ranks7}\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":388,"value":"## 6. Сравнение br и истории игры","pinned":false,"hidden":false,"mode":"md"},{"id":1472,"value":"### отладить оценку для двух рефлексивных моделей ","pinned":false,"hidden":false,"mode":"md"},{"id":445,"value":"Оценка модели - это два числа: \n\n${tex`d_c`} - оценка отличия заявок по цене модели от заявок по цене игроков \n\nи ${tex`d_p`} - оценка отличия заявок по мощности модели от заявок по мощности игроков.","pinned":false,"hidden":false,"mode":"md"},{"id":449,"value":"Оценка ${tex`d_c = \\sum{(x_c^i - m_c^i)^2} `} - сумма квадратов разниц заявок по цене модели и игроков. Аналогично ${tex`d_p = \\sum{(x_p^i - m_p^i)^2} `} - сумма квадратов разниц заявок по мощности модели и игроков. *i* пробегает множество игр, периодов игр и игроков в каждом периоде.","pinned":false,"hidden":false,"mode":"md"},{"id":457,"value":"**Оценка для модели Best Response**: ${tex`d_c`}=${br_score[0]}, ${tex`d_p`}=${br_score[1]}","pinned":false,"hidden":false,"mode":"md"},{"id":780,"value":"**Оценка для Рефлексивной модели (0,2,1)**: ${tex`d_c`}=${refl_021_score[0]}, ${tex`d_p`}=${refl_021_score[1]}","pinned":false,"hidden":false,"mode":"md"},{"id":795,"value":"**Оценка для Рефлексивной модели (1,1,2)**: ${tex`d_c`}=${refl_112_score[0]}, ${tex`d_p`}=${refl_112_score[1]}","pinned":false,"hidden":false,"mode":"md"},{"id":718,"value":"function bid_to_action(bid){\n let act = JSON.parse(JSON.stringify(bid))\n let plr_type = gametype_characters[act.gametype][act.player]\n act.model_id = 'hist'\n act.model_payoff = 0\n act.model_power = plr_type.max_power\n act.model_cost = plr_type.min_cost\n if( act.powercost == 'C' ){\n act.model_cost = act.bid\n } \n else if ( act.powercost == 'P' ) {\n act.model_power = act.bid\n }\n return act\n }","pinned":false,"hidden":false,"mode":"ojs"},{"id":714,"value":"function not_equal_steps(model1, model2) {\n let r = []\n let bugs = []\n let aggreg = d3.flatGroup(_.concat(model1,model2) ,d=>d.year ,d=>d.serie ,d=>d.period ,d=>d.player)\n for( let el of aggreg ){\n const actions = el[4]\n if( actions.length != 2 ){\n bugs.push({msg:'actions.length != 2',data:el})\n continue\n }\n \n if ( (actions[0].model_power != actions[1].model_power) || (actions[0].model_cost != actions[1].model_cost) ) {\n r.push(actions)\n }\n }\n return [r ,bugs]\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":386,"value":"{\n let m2 = model_score({game_history:game7data, model_results:games_br})\n return ['Score of BR on games 7',Math.sqrt(m2[0]), Math.sqrt(m2[1]),m2[2]]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":692,"value":"{\n let m2 = model_score({game_history:game7data, model_results:games_7_refl_021})\n return ['Score of R021 on games 7',Math.sqrt(m2[0]), Math.sqrt(m2[1]),m2[2]]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1405,"value":"{\n let m2 = model_score({game_history:game13data ,model_results: games_13_refl_021})\n return ['Score of R021 on games 1 and 3',Math.sqrt(m2[0]), Math.sqrt(m2[1]),m2[2]]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1407,"value":"{\n let m2 = model_score({game_history:game13data ,model_results: games_13_br })\n return ['Score of BR on games 1 and 3',Math.sqrt(m2[0]), Math.sqrt(m2[1]),m2[2]]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1409,"value":"// сравнение по объёму моделей br и tmp_13_refl_021\nd3.flatGroup( tmp_13_refl_021.filter(d=>d.serie==3 && d.powercost=='P').concat(games_13_br.filter(d=>d.serie==3 && d.powercost=='P')), d=>d.year ,d=>d.serie ,d=>d.period ,d=>d.player).map( d=> d[4][0].bid-d[4][0].bid )\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":391,"value":"function model_score({game_history:gamedata, model_results:modelresults} ,window ,step){\n let score_x = 0 ,score_y = 0\n let bugs = []\n let aggreg = d3.flatGroup(_.concat(gamedata,modelresults) ,d=>d.year ,d=>d.serie ,d=>d.period ,d=>d.player)\n // score method\n for( let el of aggreg ) {\n let [x,y,newbugs] = get_bid_difference(el[4]); // const actions = el[4]\n score_x += x; score_y += y\n bugs.push(...newbugs)\n }\n \n return [score_x ,score_y, bugs]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":411,"value":"function get_bid_difference(actions) {\n let bugs = []\n let group_actions = d3.flatGroup(actions ,d=>d.gencons ,d=>d.powercost)\n let [cost_score ,power_score] = [0,0] \n for( let el of group_actions ) {\n let bids = el[2]\n if( bids.length != 2 ){\n bugs.push({msg:'group_actions.length='+bids.length+' != 2',data:el})\n continue\n }\n if ( (!_.isFinite(bids[0].bid)) || (!_.isFinite(bids[1].bid)) ) {\n bugs.push({msg:'one or two bids are not a number:('+bids[0].bid+','+bids[1].bid+')' ,data:el})\n continue\n }\n let bids_diff = Math.abs(bids[0].bid - bids[1].bid)\n if( bids[0].powercost == 'C' ) {\n cost_score += bids_diff**2\n }\n if( bids[0].powercost == 'P' ) {\n power_score += bids_diff**2\n }\n }\n return [cost_score ,power_score ,bugs]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":82,"value":"## 2. Модель рынка","pinned":false,"hidden":false,"mode":"md"},{"id":498,"value":"Функция для расчёта рынка: **market_clearing**","pinned":false,"hidden":false,"mode":"md"},{"id":23,"value":"$35","pinned":true,"hidden":false,"mode":"ojs"},{"id":293,"value":"Тесты для функции расчёта рынка","pinned":false,"hidden":false,"mode":"md"},{"id":66,"value":"$36","pinned":false,"hidden":false,"mode":"ojs"},{"id":958,"value":"Результаты тестов: true - тест пройден","pinned":false,"hidden":false,"mode":"md"},{"id":48,"value":"tests.map( d => [ d.desc, _.isEqual(d.output, market_clearing(d.input)) ] )","pinned":true,"hidden":false,"mode":"ojs"},{"id":177,"value":"## 3. Функция наилучшего ответа","pinned":false,"hidden":false,"mode":"md"},{"id":1394,"value":"games_steps[1]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1252,"value":"actions_to_situation(games_steps[1][4] ,gametype_characters[1] ,characters13_consumers)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1249,"value":"best_response( 3 ,gametype_characters[1][3], actions_to_situation(games_steps[1][4] ,gametype_characters[1] ,characters13_consumers), 'B' )","pinned":true,"hidden":false,"mode":"ojs"},{"id":39,"value":"$37","pinned":true,"hidden":false,"mode":"ojs"},{"id":586,"value":"$38","pinned":true,"hidden":false,"mode":"ojs"},{"id":270,"value":"characters13_consumers = ({\n '-1': {max_cost:14 ,max_power:1250}\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":1054,"value":"тесты best_response","pinned":false,"hidden":false,"mode":"md"},{"id":151,"value":"[\n_.isEqual( [3150,{br_cost: 11, br_power: 400, br_cost2: undefined, br_power2: undefined}] ,best_response(1,gametype_characters[7][1],tests[1].input,'B').slice(0,2))\n,_.isEqual( [2500,{br_cost: 12, br_power: 300, br_cost2: 13, br_power2: 100}] ,best_response(1,gametype_characters[7][1],actions_to_situation(gamesCB_steps[13][4] ,gametype_characters[7] ,characters13_consumers),'CB').slice(0,2) )\n]","pinned":true,"hidden":false,"mode":"ojs"},{"id":157,"value":"{\n let sit = JSON.parse(JSON.stringify(tests[0].input))\n let obj = sit.generators.find( d => d.player_id == 1 )\n obj.cost = 10\n obj.power = 400\n return market_clearing(sit)\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":171,"value":"## 4. Расчёт модели BR","pinned":false,"hidden":false,"mode":"md"},{"id":485,"value":"// games_steps = [ {year,serie,gametype,period,[actions]},...]\ngames_steps = d3.flatGroup(game13data ,d=>d.year ,d=>d.serie ,d=>d.gametype ,d=>d.period).sort( (a,b) => 1000*Math.sign(a.year-b.year) + 100*Math.sign(a.serie-b.serie) + 10*Math.sign(a.period-b.period) + Math.sign(a.player-b.player) )","pinned":true,"hidden":false,"mode":"ojs"},{"id":848,"value":"gamesCB_steps = d3.flatGroup( game7data ,d=>d.year ,d=>d.serie ,d=>d.gametype ,d=>d.period).sort( (a,b) => 1000*Math.sign(a.year-b.year) + 100*Math.sign(a.serie-b.serie) + 10*Math.sign(a.period-b.period) + Math.sign(a.player-b.player) )","pinned":true,"hidden":false,"mode":"ojs"},{"id":318,"value":"$39","pinned":true,"hidden":false,"mode":"ojs"},{"id":1070,"value":"ТЕСТ actions_to_situation","pinned":false,"hidden":false,"mode":"md"},{"id":1141,"value":"[\n _.isEqual(actions_to_situation(gamesCB_steps[20][4],gametype_characters[7],characters13_consumers),\n{\n generators: [{player_id: \"1\", cost: 2, power: 400, gen_id: 1},{player_id: \"1\", cost: 14, power: 400, gen_id: 2},{player_id: \"2\", cost: 4, power: 400, gen_id: 1},{player_id: \"2\", cost: 10, power: 400, gen_id: 2},{player_id: \"3\", cost: 7, power: 600, gen_id: 1},{player_id: \"4\", cost: 13, power: 1250, gen_id: 1}]\n ,consumers: [{player_id: \"-1\", cost: 14, power: 1250}]\n})\n,_.isEqual(actions_to_situation(gamesCB_steps[7][4],gametype_characters[7],characters13_consumers)\n,{\n generators: [{player_id: \"1\", cost: 2, power: 400, gen_id: 1},{player_id: \"1\", cost: 12, power: 500, gen_id: 2},{player_id: \"2\", cost: 4, power: 200, gen_id: 1},{player_id: \"2\", cost: 13, power: 200, gen_id: 2},{player_id: \"3\", cost: 7, power: 300, gen_id: 1},{player_id: \"4\", cost: 13, power: 1250, gen_id: 1}\n]\n ,consumers: \n [{player_id: \"-1\", cost: 14, power: 1250}]\n})\n ]","pinned":true,"hidden":false,"mode":"ojs"},{"id":244,"value":"$3a","pinned":true,"hidden":false,"mode":"ojs"},{"id":1379,"value":"$3b","pinned":true,"hidden":false,"mode":"ojs"},{"id":919,"value":"games_br.slice(0,4)","pinned":true,"hidden":false,"mode":"ojs"},{"id":559,"value":"## 5. Рефлексивные модели","pinned":false,"hidden":false,"mode":"md"},{"id":1194,"value":"словарь с наилучшими ответами игроков","pinned":false,"hidden":false,"mode":"md"},{"id":635,"value":"games_br_map = _.groupBy(games_br,d=>''+d.year+'-'+d.serie+'-'+d.period+'-'+d.player)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1381,"value":"games_13_br_map = _.groupBy(games_13_br,d=>''+d.year+'-'+d.serie+'-'+d.period+'-'+d.player)","pinned":true,"hidden":false,"mode":"ojs"},{"id":561,"value":"$3c","pinned":false,"hidden":false,"mode":"ojs"},{"id":1333,"value":"games_7_refl_021 = calc_reflexive_model([0,2,1] ,gamesCB_steps ,gametype_characters ,characters13_consumers ,games_br_map)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1377,"value":"games_13_refl_021 = calc_reflexive_model([0,2,1] ,games_steps ,gametype_characters ,characters13_consumers ,games_13_br_map)","pinned":true,"hidden":false,"mode":"ojs"},{"id":783,"value":"$3d","pinned":false,"hidden":false,"mode":"ojs"},{"id":1304,"value":"function add_rank0_actions( to_array ,player_id ,actions ,bar ){\n // rank 0 powercost bid\n let [c ,p ,c2 ,p2] = rank0_action(player_id ,actions)\n bar.model_id = \"refl-rank0\"\n to_array.push(_.assign({player:player_id ,gencons:\"G1\" ,powercost:\"P\" ,bid: p, model_payoff:null}, bar))\n to_array.push(_.assign({player:player_id ,gencons:\"G1\" ,powercost:\"C\" ,bid: c, model_payoff:null}, bar))\n if( !(c2===undefined) ) {\n to_array.push(_.assign({player:player_id ,gencons:\"G2\" ,powercost:\"P\" ,bid: p2, model_payoff:null}, bar))\n to_array.push(_.assign({player:player_id ,gencons:\"G2\" ,powercost:\"C\" ,bid: c2, model_payoff:null}, bar))\n }\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1308,"value":"function add_rank1_actions(to_array ,br_of_player) {\n for (let a of br_of_player) {\n to_array.push(a)\n }\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1317,"value":"$3e","pinned":true,"hidden":false,"mode":"ojs"},{"id":1302,"value":"_.isEqual(games_reflexive_112 ,tmp_refl)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1300,"value":"tmp_refl = calc_reflexive_model([1,1,2] ,gamesCB_steps ,gametype_characters ,characters13_consumers ,games_br_map)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1297,"value":"$3f","pinned":true,"hidden":false,"mode":"ojs"},{"id":1163,"value":"$40","pinned":true,"hidden":false,"mode":"ojs"},{"id":595,"value":"function rank0_action(pl_id ,actions){\n let cost, power ,cost2=undefined ,power2=undefined;\n for( let bid of actions ) {\n if ( bid.player == pl_id ) {\n if ( bid.gencons == 'G1' && bid.powercost == 'P' ) power = bid.bid\n if ( bid.gencons == 'G1' && bid.powercost == 'C' ) cost = bid.bid\n if ( bid.gencons == 'G2' && bid.powercost == 'P') power2 = bid.bid\n if ( bid.gencons == 'G2' && bid.powercost == 'C') cost2 = bid.bid\n }\n }\n return [cost ,power ,cost2 ,power2]\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1246,"value":"rank0_action тесты","pinned":false,"hidden":false,"mode":"md"},{"id":1104,"value":"[_.isEqual(rank0_action(2,gamesCB_steps[2][4]) ,[4,400,11,400]) \n,_.isEqual(rank0_action(1,games_steps[12][4]) ,[6,undefined,undefined,undefined])\n,_.isEqual(rank0_action(3,games_steps[4][4]) ,[undefined ,300 ,undefined ,undefined])\n]","pinned":true,"hidden":false,"mode":"ojs"},{"id":283,"value":"## Технические и порой не нужные","pinned":false,"hidden":false,"mode":"md"},{"id":91,"value":"// пользуюсь _.isEqual()\nfunction deepEqual(x, y) {\n const ok = Object.keys, tx = typeof x, ty = typeof y;\n return x && y && tx === 'object' && tx === ty ? (\n ok(x).length === ok(y).length &&\n ok(x).every(key => deepEqual(x[key], y[key]))\n ) : (x === y);\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":287,"value":"// не дописал - пользуюсь _.isEqual()\nfunction players_state_equal1(state1,state2) {\n if(! ('generators' in state1 && 'consumers' in state1 && 'generators' in state2 && 'consumers' in state2) ) return false\n if(! (state1.generators.length == state2.generators.length && state1.consumers.length == state2.consumers.length) ) return false\n for( let i = 0 ; i < state1.generators.length ; i ++ ){\n if( state1.generators[i] ) 1;\n }\n return true;\n}","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W41","stdlib":"1","titling":"auto"}