Removed old parallelisation

Model_Library @ d9149201

-Subproject commit 842c38c62fea72093415c476e92916fac9a1a45e
+Subproject commit d914920165330f710c732de4417c29db7bd067b8

runme.py

@@ -3,10 +3,6 @@ import pandas as pd
 import Tooling.input_profile_processor.input_profile_processor
 import Model_Library.Prosumer.main as main
 import Model_Library.District.main_district as main_district
-from functools import partial
-from multiprocessing import Pool
-from tqdm import tqdm
-import os
 from enum import Enum
 
 class SimulationScope(Enum):
@@ -69,20 +65,11 @@ prosumer_dict = {'SCN2_CAT1_PV11_3000_6000':{'topology_path': 'input_files/model
                                                       'dhw_dmd': 'demand_hot_water_2'}},}
 
 prosumer_strategy = 'annuity'
-parallel_processing = False
 before_optimization_time = time.time()
 print("runme:\t\t\tProsumer Setup [s]: \t\t" + str(before_optimization_time - after_input_processing_time))
 
-# Run multiple independent prosumers in parallel on multiple cores
-prosumers = dict.fromkeys(prosumer_dict.keys())
-if parallel_processing:
-    count_processes = len(prosumer_dict.keys())
-    pool = Pool(os.cpu_count())
-    parallel_func = partial(process_each_prosumer, input_profiles = input_profiles, t_horizon = t_horizon, t_step = t_step, prosumer_strategy = prosumer_strategy)
-    mapped_values = list(tqdm(pool.map(parallel_func, list(prosumer_dict.keys()), list(prosumer_dict.values())), total = count_processes))
-# Normal processing, one core only
-else:
-    for prosumer_name in list(prosumer_dict.keys()):
+prosumers = dict()
+for prosumer_name in prosumer_dict:
     prosumers[prosumer_name] = process_each_prosumer(prosumer_name, prosumer_dict[prosumer_name], input_profiles, t_horizon, t_step, prosumer_strategy)
 after_optimization_time = time.time()
 print("runme:\t\t\tProsumer Optimization [s]: \t" + str(after_optimization_time - before_optimization_time))