How to use my_scenario method in Molotov

Best Python code snippet using molotov_python

parallel_process.py

Source: parallel_process.py Github

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...12def start_process_service(self):13 with process_service() as service:14 yield service15@TestScenario16def my_scenario(self, count=1, sleep=0, force_fail=False):17 """Simple scenario with 0 or more steps.18 """19 for i in range(1):20 note(f"hello {os.getpid()}")21 for i in range(count):22 with Step(f"hello there {i} - {self.name}"):23 time.sleep(sleep)24 if force_fail:25 fail("forced fail")26 return "value"27def func_with_scenario():28 """Simple function that runs a scenario.29 """30 Scenario(test=my_scenario)()...

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views.py

Source: views.py Github

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1from random import randint2from django.shortcuts import render3from django.http import HttpResponse4import json5from .models import Scenario, Input6from django.core import serializers7from . import Customer 8from . import Tipping_Sim9# Create your views here.10def play(request):11 initial_scenarios = Scenario.objects.filter(order_n=0)12 count = initial_scenarios.count()13 if (count is not None):14 if (count > 0): 15 index = randint(0, count-1)16 my_scenario = initial_scenarios[index]17 my_inputs = Input.objects.all().filter(scenario = my_scenario)18 context = {"scenario_text": my_scenario.text, "scenario_order_n": my_scenario.order_n,"scenario_id": my_scenario.scenario_id, "inputs": my_inputs}19 return render(request, 'game/​simulation.html', context)20 else:21 return ('<h1>Website is under construction... brace for awesomeness!</​h1>')22def index(request):23 return render(request, 'game/​home.html')24def find_next(scenario_id, order_n):25 return Scenario.objects.filter(scenario_id = scenario_id).filter(order_n=order_n)[0]26def simulate(request):27 if request.method == 'POST':28 answered_questions = []29 questions = request.POST.keys()30 for question in questions:31 answer = request.POST.get(question)32 answered_questions.append({"question":question, "answer": answer})33 curr_order = int(float(request.POST.get("order_n")))34 scenario_id = int(float(request.POST.get("scenario_id")));35 pot_scenarios = Scenario.objects.filter(scenario_id = scenario_id)36 if (curr_order< len(pot_scenarios)-1):37 next_order = curr_order+1; 38 else:39 next_order = curr_order40 my_scenario= find_next(scenario_id, next_order)41 my_inputs = serializers.serialize("json",Input.objects.all().filter(scenario = my_scenario))42 43 init_price= request.POST.get("init_price")44 n_restaurants= request.POST.get("n_restaurants")45 n_customers= request.POST.get("n_customers")46 max_generations= request.POST.get("max_generations")47 sim_data = [init_price,n_restaurants,n_customers,max_generations]48 sim_data_ints = []49 for i in range(len(sim_data)):50 if sim_data[i] is not None:51 sim_data[i] = int(sim_data[i])52 restaurants = Tipping_Sim.tipping_sim(sim_data[0], sim_data[1], sim_data[2], sim_data[3])53 response_data = {"scenario_text": my_scenario.text, "scenario_order_n": my_scenario.order_n,"scenario_id": my_scenario.scenario_id, "inputs": my_inputs, "restaurants": restaurants}54 55 return HttpResponse(56 json.dumps(response_data) ,57 content_type="application/​json"58 ) 59 else:60 return HttpResponse(61 json.dumps({"error": "did not return a valid response"}),62 content_type="application/​json"...

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sim_manual_scen.py

Source: sim_manual_scen.py Github

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1# -*- coding: utf-8 -*-2"""3Created on Fri Apr 15 08:51:49 20164@author: Jonatan5simulate for one or several scenarios and compare to standard6"""7from __future__ import division8from sim_p2h import temp_to_heat, power_scen_to_res, sim_p2h9from Modules.Compare.read_results import read_results10from Modules.Plot.plot_results import plot_compare_scenarios11# define a scenario, stored in a dictionary12my_scenario = {}13my_scenario["Nuclear"] = 014my_scenario["Hydro"] = 6515my_scenario["Other"] = 1516my_scenario["Wind"] = 6017my_scenario["Solar"] = 2518my_scenario["Consumption"] = 17019# give a name for your scenario20my_scenario["Name"] = "Jonatan's scenario"21# choose scenario to compare to22comp_scen = 323# read heat curve24heat_curves, design_heat_loads = temp_to_heat()25# calculate power residual26P_res = power_scen_to_res(scenario = my_scenario)27# simulate P2H, results are written to file28sim_p2h(P_res, heat_curves, design_heat_loads, my_scenario)29# store results in a dictionary30results = {}31# read my scenario32results[my_scenario['Name']] = read_results(my_scenario["Name"])33# read other scenario34results['Scenario_{}'.format(comp_scen)] = read_results(comp_scen)35# compare scenarios...

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