Module ABCPython.Reporter

Expand source code 
import os

import numpy as np
from decimal import Decimal

class Reporter:
    def __init__(_self, abcList):
        _self.abcList = abcList
        if(abcList[0].conf.PRINT_PARAMETERS):
            _self.print_parameters()

        if (abcList[0].conf.RUN_INFO):
            _self.run_info()
        if (abcList[0].conf.SAVE_RESULTS):
             _self.save_results()
        if (abcList[0].conf.RUN_INFO_COMMANDLINE):
            _self.command_line_print()


    def print_parameters(_self):
        for i in range(_self.abcList[0].conf.RUN_TIME):
            print(_self.abcList[i].experimentID,". run")
            for j in range(_self.abcList[0].conf.DIMENSION):
                print("Global Param[", j + 1, "] ", _self.abcList[i].globalParams[j])

    def run_info(_self):
        sum = []
        for i in range(_self.abcList[0].conf.RUN_TIME):
            print(_self.abcList[i].experimentID + " run: ", _self.abcList[i].globalOpt, " Cycle: ",
                  _self.abcList[i].cycle, " Time: ",
                  _self.abcList[i].globalTime)
            sum.append(_self.abcList[i].globalOpt)
        print("Mean: ",np.mean(sum)," Std: ",np.std(sum)," Median: ",np.median(sum))
    def command_line_print(_self):
        sum = []
        for i in range(_self.abcList[0].conf.RUN_TIME):
            sum.append(_self.abcList[i].globalOpt)
        print('%1.5E' % Decimal(np.mean(sum)))

    def save_results(_self):
        if not os.path.exists(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME):
            os.makedirs(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME)

        header="experimentID ;Number of Population; Maximum Evaluation; Limit; Function, Dimension, Upper Bound; Lower Bound; isMinimize; Result ; Time \n"
        csvText = "{} ;{}; {}; {}; {}; {}; {}; {}; {}; {} ; {} \n"
        with open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[0].conf.RESULT_REPORT_FILE_NAME, 'a') as saveRes:
            if(sum(1 for line in open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[0].conf.RESULT_REPORT_FILE_NAME))<1):
                saveRes.write(header)

            for i in range(_self.abcList[0].conf.RUN_TIME):
                saveRes.write(csvText.format(
                    _self.abcList[i].experimentID,
                    _self.abcList[i].conf.NUMBER_OF_POPULATION,
                    _self.abcList[i].conf.MAXIMUM_EVALUATION,
                    _self.abcList[i].conf.LIMIT,
                    _self.abcList[i].conf.OBJECTIVE_FUNCTION.__name__,
                    _self.abcList[i].conf.DIMENSION,
                    _self.abcList[i].conf.UPPER_BOUND,
                    _self.abcList[i].conf.LOWER_BOUND,
                    _self.abcList[i].conf.MINIMIZE,
                    _self.abcList[i].globalOpt,
                    _self.abcList[i].globalTime,

                ))

            header = "experimentID;"
            for j in range(_self.abcList[0].conf.DIMENSION):

                if (j < _self.abcList[0].conf.DIMENSION - 1):
                    header = header + "param" + str(j) + ";"
                else:
                    header = header + "param" + str(j) + "\n"
            with open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME + "/" + _self.abcList[0].conf.PARAMETER_REPORT_FILE_NAME,
                      'a') as saveRes:
                if (sum(1 for line in open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME + "/" + _self.abcList[
                    0].conf.PARAMETER_REPORT_FILE_NAME)) < 1):
                    saveRes.write(header)

                for i in range(_self.abcList[0].conf.RUN_TIME):
                    csvText=str(_self.abcList[i].experimentID)+";"
                    for j in range(_self.abcList[0].conf.DIMENSION):
                        if(j<_self.abcList[0].conf.DIMENSION-1):
                            csvText = csvText+str(_self.abcList[i].globalParams[j])+";"
                        else:
                            csvText = csvText + str(_self.abcList[i].globalParams[j]) + "\n"
                    saveRes.write(csvText)

            for i in range(_self.abcList[0].conf.RUN_TIME):
                if not os.path.exists(_self.abcList[i].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[i].conf.RESULT_BY_CYCLE_FOLDER):
                    os.makedirs(_self.abcList[i].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[i].conf.RESULT_BY_CYCLE_FOLDER)
                with open(_self.abcList[i].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[i].conf.RESULT_BY_CYCLE_FOLDER+"/"+_self.abcList[i].experimentID+".txt",
                          'a') as saveRes:

                    for j in range(_self.abcList[i].cycle):
                        saveRes.write(str(_self.abcList[i].globalOpts[j])+"\n")

Classes

class Reporter (abcList)
Expand source code 
class Reporter:
    def __init__(_self, abcList):
        _self.abcList = abcList
        if(abcList[0].conf.PRINT_PARAMETERS):
            _self.print_parameters()

        if (abcList[0].conf.RUN_INFO):
            _self.run_info()
        if (abcList[0].conf.SAVE_RESULTS):
             _self.save_results()
        if (abcList[0].conf.RUN_INFO_COMMANDLINE):
            _self.command_line_print()


    def print_parameters(_self):
        for i in range(_self.abcList[0].conf.RUN_TIME):
            print(_self.abcList[i].experimentID,". run")
            for j in range(_self.abcList[0].conf.DIMENSION):
                print("Global Param[", j + 1, "] ", _self.abcList[i].globalParams[j])

    def run_info(_self):
        sum = []
        for i in range(_self.abcList[0].conf.RUN_TIME):
            print(_self.abcList[i].experimentID + " run: ", _self.abcList[i].globalOpt, " Cycle: ",
                  _self.abcList[i].cycle, " Time: ",
                  _self.abcList[i].globalTime)
            sum.append(_self.abcList[i].globalOpt)
        print("Mean: ",np.mean(sum)," Std: ",np.std(sum)," Median: ",np.median(sum))
    def command_line_print(_self):
        sum = []
        for i in range(_self.abcList[0].conf.RUN_TIME):
            sum.append(_self.abcList[i].globalOpt)
        print('%1.5E' % Decimal(np.mean(sum)))

    def save_results(_self):
        if not os.path.exists(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME):
            os.makedirs(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME)

        header="experimentID ;Number of Population; Maximum Evaluation; Limit; Function, Dimension, Upper Bound; Lower Bound; isMinimize; Result ; Time \n"
        csvText = "{} ;{}; {}; {}; {}; {}; {}; {}; {}; {} ; {} \n"
        with open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[0].conf.RESULT_REPORT_FILE_NAME, 'a') as saveRes:
            if(sum(1 for line in open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[0].conf.RESULT_REPORT_FILE_NAME))<1):
                saveRes.write(header)

            for i in range(_self.abcList[0].conf.RUN_TIME):
                saveRes.write(csvText.format(
                    _self.abcList[i].experimentID,
                    _self.abcList[i].conf.NUMBER_OF_POPULATION,
                    _self.abcList[i].conf.MAXIMUM_EVALUATION,
                    _self.abcList[i].conf.LIMIT,
                    _self.abcList[i].conf.OBJECTIVE_FUNCTION.__name__,
                    _self.abcList[i].conf.DIMENSION,
                    _self.abcList[i].conf.UPPER_BOUND,
                    _self.abcList[i].conf.LOWER_BOUND,
                    _self.abcList[i].conf.MINIMIZE,
                    _self.abcList[i].globalOpt,
                    _self.abcList[i].globalTime,

                ))

            header = "experimentID;"
            for j in range(_self.abcList[0].conf.DIMENSION):

                if (j < _self.abcList[0].conf.DIMENSION - 1):
                    header = header + "param" + str(j) + ";"
                else:
                    header = header + "param" + str(j) + "\n"
            with open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME + "/" + _self.abcList[0].conf.PARAMETER_REPORT_FILE_NAME,
                      'a') as saveRes:
                if (sum(1 for line in open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME + "/" + _self.abcList[
                    0].conf.PARAMETER_REPORT_FILE_NAME)) < 1):
                    saveRes.write(header)

                for i in range(_self.abcList[0].conf.RUN_TIME):
                    csvText=str(_self.abcList[i].experimentID)+";"
                    for j in range(_self.abcList[0].conf.DIMENSION):
                        if(j<_self.abcList[0].conf.DIMENSION-1):
                            csvText = csvText+str(_self.abcList[i].globalParams[j])+";"
                        else:
                            csvText = csvText + str(_self.abcList[i].globalParams[j]) + "\n"
                    saveRes.write(csvText)

            for i in range(_self.abcList[0].conf.RUN_TIME):
                if not os.path.exists(_self.abcList[i].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[i].conf.RESULT_BY_CYCLE_FOLDER):
                    os.makedirs(_self.abcList[i].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[i].conf.RESULT_BY_CYCLE_FOLDER)
                with open(_self.abcList[i].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[i].conf.RESULT_BY_CYCLE_FOLDER+"/"+_self.abcList[i].experimentID+".txt",
                          'a') as saveRes:

                    for j in range(_self.abcList[i].cycle):
                        saveRes.write(str(_self.abcList[i].globalOpts[j])+"\n")

Methods

def command_line_print(_self)
Expand source code 
def command_line_print(_self):
    sum = []
    for i in range(_self.abcList[0].conf.RUN_TIME):
        sum.append(_self.abcList[i].globalOpt)
    print('%1.5E' % Decimal(np.mean(sum)))
def print_parameters(_self)
Expand source code 
def print_parameters(_self):
    for i in range(_self.abcList[0].conf.RUN_TIME):
        print(_self.abcList[i].experimentID,". run")
        for j in range(_self.abcList[0].conf.DIMENSION):
            print("Global Param[", j + 1, "] ", _self.abcList[i].globalParams[j])
def run_info(_self)
Expand source code 
def run_info(_self):
    sum = []
    for i in range(_self.abcList[0].conf.RUN_TIME):
        print(_self.abcList[i].experimentID + " run: ", _self.abcList[i].globalOpt, " Cycle: ",
              _self.abcList[i].cycle, " Time: ",
              _self.abcList[i].globalTime)
        sum.append(_self.abcList[i].globalOpt)
    print("Mean: ",np.mean(sum)," Std: ",np.std(sum)," Median: ",np.median(sum))
def save_results(_self)
Expand source code 
def save_results(_self):
    if not os.path.exists(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME):
        os.makedirs(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME)

    header="experimentID ;Number of Population; Maximum Evaluation; Limit; Function, Dimension, Upper Bound; Lower Bound; isMinimize; Result ; Time \n"
    csvText = "{} ;{}; {}; {}; {}; {}; {}; {}; {}; {} ; {} \n"
    with open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[0].conf.RESULT_REPORT_FILE_NAME, 'a') as saveRes:
        if(sum(1 for line in open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[0].conf.RESULT_REPORT_FILE_NAME))<1):
            saveRes.write(header)

        for i in range(_self.abcList[0].conf.RUN_TIME):
            saveRes.write(csvText.format(
                _self.abcList[i].experimentID,
                _self.abcList[i].conf.NUMBER_OF_POPULATION,
                _self.abcList[i].conf.MAXIMUM_EVALUATION,
                _self.abcList[i].conf.LIMIT,
                _self.abcList[i].conf.OBJECTIVE_FUNCTION.__name__,
                _self.abcList[i].conf.DIMENSION,
                _self.abcList[i].conf.UPPER_BOUND,
                _self.abcList[i].conf.LOWER_BOUND,
                _self.abcList[i].conf.MINIMIZE,
                _self.abcList[i].globalOpt,
                _self.abcList[i].globalTime,

            ))

        header = "experimentID;"
        for j in range(_self.abcList[0].conf.DIMENSION):

            if (j < _self.abcList[0].conf.DIMENSION - 1):
                header = header + "param" + str(j) + ";"
            else:
                header = header + "param" + str(j) + "\n"
        with open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME + "/" + _self.abcList[0].conf.PARAMETER_REPORT_FILE_NAME,
                  'a') as saveRes:
            if (sum(1 for line in open(_self.abcList[0].conf.OUTPUTS_FOLDER_NAME + "/" + _self.abcList[
                0].conf.PARAMETER_REPORT_FILE_NAME)) < 1):
                saveRes.write(header)

            for i in range(_self.abcList[0].conf.RUN_TIME):
                csvText=str(_self.abcList[i].experimentID)+";"
                for j in range(_self.abcList[0].conf.DIMENSION):
                    if(j<_self.abcList[0].conf.DIMENSION-1):
                        csvText = csvText+str(_self.abcList[i].globalParams[j])+";"
                    else:
                        csvText = csvText + str(_self.abcList[i].globalParams[j]) + "\n"
                saveRes.write(csvText)

        for i in range(_self.abcList[0].conf.RUN_TIME):
            if not os.path.exists(_self.abcList[i].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[i].conf.RESULT_BY_CYCLE_FOLDER):
                os.makedirs(_self.abcList[i].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[i].conf.RESULT_BY_CYCLE_FOLDER)
            with open(_self.abcList[i].conf.OUTPUTS_FOLDER_NAME+"/"+_self.abcList[i].conf.RESULT_BY_CYCLE_FOLDER+"/"+_self.abcList[i].experimentID+".txt",
                      'a') as saveRes:

                for j in range(_self.abcList[i].cycle):
                    saveRes.write(str(_self.abcList[i].globalOpts[j])+"\n")