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testing the stats

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This commit is contained in:
Remi Ehounou
2021-05-15 21:37:16 -04:00
parent 466d7ec7d6
commit e3ff427d76
2 changed files with 11 additions and 9 deletions
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16
SourceCode/AlgorithmAnalyser.py
View File

@ -2,7 +2,6 @@
from os import path from os import path
import importlib.util import importlib.util
import multiprocessing import multiprocessing
import pathos.multiprocessing as mp
import time import time
import re import re
from numpy import random as r from numpy import random as r
@ -78,7 +77,7 @@ def measure(heuristicpath, heuristic_name, funcpath, funcname, objs, args, scale
# Defining random initial points to start testing the algorithms # Defining random initial points to start testing the algorithms
initpoints = [[r.random() * scale, r.random() * scale] for run in range(3)] #update the inner as [r.random() * scale for i in range(testfuncDimmensions)] initpoints = [[r.random() * scale, r.random() * scale] for run in range(30)] #update the inner as [r.random() * scale for i in range(testfuncDimmensions)]
# building the iterable arguments # building the iterable arguments
partfunc = partial(simulate, heuristic_name, heuristicpath, funcname, funcpath, objs, args) partfunc = partial(simulate, heuristic_name, heuristicpath, funcname, funcpath, objs, args)
@ -97,7 +96,7 @@ def measure(heuristicpath, heuristic_name, funcpath, funcname, objs, args, scale
results['numCalls'] = array([statistics.mean(numCalls), statistics.stdev(numCalls)]) results['numCalls'] = array([statistics.mean(numCalls), statistics.stdev(numCalls)])
results['convRate'] = array([statistics.mean(converged), statistics.stdev(converged)]) results['convRate'] = array([statistics.mean(converged), statistics.stdev(converged)])
connection.send(results) connection.send((results,newRun))
def writerepresentation(funcpath, charas): def writerepresentation(funcpath, charas):
# Save a backup copy of the function file # Save a backup copy of the function file
@ -237,7 +236,6 @@ def representfunc(funcpath):
def doe(heuristicpath, heuristic_name, testfunctionpaths, funcnames, objs, args, scale): def doe(heuristicpath, heuristic_name, testfunctionpaths, funcnames, objs, args, scale):
# logic variables to deal with the processes # logic variables to deal with the processes
proc = [] proc = []
connections = {} connections = {}
@ -272,9 +270,13 @@ def doe(heuristicpath, heuristic_name, testfunctionpaths, funcnames, objs, args,
connections[run][0].close() connections[run][0].close()
connections[run][1].close() connections[run][1].close()
# display output # display output
print("\n\n||||| Responses: [mean,stdDev] |||||") print("\n\n||||| Responses: [mean,stdDev] |||||")
for process in proc: print(process.name + "____\n" + str(responses[process.name]) + "\n_________________") for process in proc: print(process.name + "____\n" + str(responses[process.name][0]) + "\n_________________")
#return output
return responses
if __name__ == '__main__': if __name__ == '__main__':
heuristicpath = "SampleAlgorithms/SimmulatedAnnealing.py" heuristicpath = "SampleAlgorithms/SimmulatedAnnealing.py"
@ -288,8 +290,8 @@ if __name__ == '__main__':
args = {"high": 200, "low": -200, "t": 1000, "p": 0.95} args = {"high": 200, "low": -200, "t": 1000, "p": 0.95}
scale = 1 scale = 1
doe (heuristicpath, heuristic_name, testfunctionpaths, funcnames, objs, args, scale) data = doe (heuristicpath, heuristic_name, testfunctionpaths, funcnames, objs, args, scale)
print(data['Bukin2'][1][2])
#representfunc("TestFunctions/Bukin6.py") #representfunc("TestFunctions/Bukin6.py")

2
SourceCode/SampleAlgorithms/SimmulatedAnnealing.py
View File

@ -72,7 +72,7 @@ def main(func, obj, S, args):
route.append(Best[:]) route.append(Best[:])
print(route) print(route)
if t < 0 or Quality(Best,y,func) > 50: if t < 0 or Quality(Best,y,func) > 200:
break break
#print('the Best Quality obtained was:{}'.format(Quality(Best,y))) #print('the Best Quality obtained was:{}'.format(Quality(Best,y)))
print("Final Quality is: {}".format(Quality(Best,y,func))) print("Final Quality is: {}".format(Quality(Best,y,func)))