Beispiel #1
0
def main(argv=None):
    r"""Post-processing COCO data of a single algorithm.

    Provided with some data, this routine outputs figure and TeX files
    in a folder needed for the compilation of latex document
    :file:`template1XXX.tex` or :file:`noisytemplate1XXX.tex`, where 
    :file:`XXX` is either :file:`ecj` or :file:`generic`. The template
    file needs to be edited so that the commands
    ``\bbobdatapath`` and ``\algfolder`` point to the output folder.

    These output files will contain performance tables, performance
    scaling figures and empirical cumulative distribution figures. On
    subsequent executions, new files will be added to the output folder,
    overwriting existing older files in the process.

    Keyword arguments:

    *argv* -- list of strings containing options and arguments. If not
    given, sys.argv is accessed.

    *argv* should list either names of :file:`info` files or folders
    containing :file:`info` files. argv can also contain post-processed
    :file:`pickle` files generated by this routine. Furthermore, *argv*
    can begin with, in any order, facultative option flags listed below.

        -h, --help
            displays this message.
        -v, --verbose
            verbose mode, prints out all operations.
        -p, --pickle
            generates pickle post processed data files.
        -o OUTPUTDIR, --output-dir=OUTPUTDIR
            changes the default output directory (:file:`ppdata`) to
            :file:`OUTPUTDIR`.
        --crafting-effort=VALUE
            sets the crafting effort to VALUE (float). Otherwise the
            default value of 0. will be used.
        --noise-free, --noisy
            processes only part of the data.
        --settings=SETTINGS
            changes the style of the output figures and tables. At the
            moment the only differences are  in the colors of the output
            figures. SETTINGS can be either "grayscale", "color" or
            "black-white". The default setting is "color".
        --tab-only, --fig-only, --rld-only, --los-only
            these options can be used to output respectively the TeX
            tables, convergence and ERTs graphs figures, run length
            distribution figures, ERT loss ratio figures only. A
            combination of any two of these options results in no
            output.
        --conv
            if this option is chosen, additionally convergence plots
            for each function and algorithm are generated.
        --expensive
            runlength-based f-target values and fixed display limits,
            useful with comparatively small budgets. By default the
            setting is based on the budget used in the data.
        --not-expensive
            expensive setting off. 
        --runlength-based
            runlength-based f-target values, such that the
            "level of difficulty" is similar for all functions. 

    Exceptions raised:

    *Usage* -- Gives back a usage message.

    Examples:

    * Calling the rungeneric1.py interface from the command line::

        $ python bbob_pproc/rungeneric1.py -v experiment1

      will post-process the folder experiment1 and all its containing
      data, base on the .info files found in the folder. The result will
      appear in the default output folder. The -v option adds verbosity. ::

        $ python bbob_pproc/rungeneric1.py -o exp2 experiment2/*.info

      This will execute the post-processing on the info files found in
      :file:`experiment2`. The result will be located in the alternative
      location :file:`exp2`.

    * Loading this package and calling the main from the command line
      (requires that the path to this package is in python search path)::

        $ python -m bbob_pproc.rungeneric1 -h

      This will print out this help message.

    * From the python interpreter (requires that the path to this
      package is in python search path)::

        >> import bbob_pproc as bb
        >> bb.rungeneric1.main('-o outputfolder folder1'.split())

      This will execute the post-processing on the index files found in
      :file:`folder1`. The ``-o`` option changes the output folder from
      the default to :file:`outputfolder`.

    """

    if argv is None:
        argv = sys.argv[1:]
        # The zero-th input argument which is the name of the calling script is
        # disregarded.

    if 1 < 3:
        opts, args = getopt.getopt(argv, shortoptlist, longoptlist)
        if 11 < 3:
            try:
                opts, args = getopt.getopt(argv, shortoptlist, longoptlist)
            except getopt.error, msg:
                raise Usage(msg)

        if not (args) and not '--help' in argv and not 'h' in argv:
            print 'not enough input arguments given'
            print 'cave: the following options also need an argument:'
            print[o for o in longoptlist if o[-1] == '=']
            print 'options given:'
            print opts
            print 'try --help for help'
            sys.exit()

        inputCrE = 0.
        isfigure = True
        istab = True
        isrldistr = True
        islogloss = True
        isPostProcessed = False
        isPickled = False
        verbose = False
        outputdir = 'ppdata'
        isNoisy = False
        isNoiseFree = False
        inputsettings = 'color'
        isConv = False
        isRLbased = None  # allows automatic choice
        isExpensive = None

        # Process options
        for o, a in opts:
            if o in ("-v", "--verbose"):
                verbose = True
            elif o in ("-h", "--help"):
                usage()
                sys.exit()
            elif o in ("-p", "--pickle"):
                isPickled = True
            elif o in ("-o", "--output-dir"):
                outputdir = a
            elif o == "--noisy":
                isNoisy = True
            elif o == "--noise-free":
                isNoiseFree = True
            # The next 4 are for testing purpose
            elif o == "--tab-only":
                isfigure = False
                isrldistr = False
                islogloss = False
            elif o == "--fig-only":
                istab = False
                isrldistr = False
                islogloss = False
            elif o == "--rld-only":
                istab = False
                isfigure = False
                islogloss = False
            elif o == "--los-only":
                istab = False
                isfigure = False
                isrldistr = False
            elif o == "--crafting-effort":
                try:
                    inputCrE = float(a)
                except ValueError:
                    raise Usage(
                        'Expect a valid float for flag crafting-effort.')
            elif o == "--settings":
                inputsettings = a
            elif o == "--conv":
                isConv = True
            elif o == "--runlength-based":
                isRLbased = True
            elif o == "--expensive":
                isExpensive = True  # comprises runlength-based
            elif o == "--not-expensive":
                isExpensive = False
            else:
                assert False, "unhandled option"

        # from bbob_pproc import bbob2010 as inset # input settings
        if inputsettings == "color":
            from bbob_pproc import genericsettings as inset  # input settings
        elif inputsettings == "grayscale":
            from bbob_pproc import grayscalesettings as inset  # input settings
        elif inputsettings == "black-white":
            from bbob_pproc import bwsettings as inset  # input settings
        else:
            txt = ('Settings: %s is not an appropriate ' % inputsettings +
                   'argument for input flag "--settings".')
            raise Usage(txt)

        if 11 < 3:
            from bbob_pproc import config  # input settings
            config.config()
            import imp
            # import testbedsettings as testbedsettings # input settings
            try:
                fp, pathname, description = imp.find_module("testbedsettings")
                testbedsettings = imp.load_module("testbedsettings", fp,
                                                  pathname, description)
            finally:
                fp.close()

        if (not verbose):
            warnings.simplefilter('module')
            # warnings.simplefilter('ignore')

        print("Post-processing (1): will generate output " +
              "data in folder %s" % outputdir)
        print "  this might take several minutes."

        filelist = list()
        for i in args:
            i = i.strip()
            if os.path.isdir(i):
                filelist.extend(findfiles.main(i, verbose))
            elif os.path.isfile(i):
                filelist.append(i)
            else:
                txt = 'Input file or folder %s could not be found.' % i
                print txt
                raise Usage(txt)
        dsList = DataSetList(filelist, verbose)

        if not dsList:
            raise Usage("Nothing to do: post-processing stopped.")

        if isNoisy and not isNoiseFree:
            dsList = dsList.dictByNoise().get('nzall', DataSetList())
        if isNoiseFree and not isNoisy:
            dsList = dsList.dictByNoise().get('noiselessall', DataSetList())

        # compute maxfuneval values
        dict_max_fun_evals = {}
        for ds in dsList:
            dict_max_fun_evals[ds.dim] = np.max(
                (dict_max_fun_evals.setdefault(ds.dim,
                                               0), float(np.max(ds.maxevals))))
        if isRLbased is not None:
            genericsettings.runlength_based_targets = isRLbased

        from bbob_pproc import config
        config.target_values(isExpensive, dict_max_fun_evals)
        config.config()

        if (verbose):
            for i in dsList:
                if (dict((j, i.instancenumbers.count(j))
                         for j in set(i.instancenumbers)) !=
                        inset.instancesOfInterest):
                    warnings.warn('The data of %s do not list ' % (i) +
                                  'the correct instances ' +
                                  'of function F%d.' % (i.funcId))

        dictAlg = dsList.dictByAlg()

        if len(dictAlg) > 1:
            warnings.warn('Data with multiple algId %s ' % (dictAlg) +
                          'will be processed together.')
            # TODO: in this case, all is well as long as for a given problem
            # (given dimension and function) there is a single instance of
            # DataSet associated. If there are more than one, the first one only
            # will be considered... which is probably not what one would expect.
            # TODO: put some errors where this case would be a problem.
            # raise Usage?

        if isfigure or istab or isrldistr or islogloss:
            if not os.path.exists(outputdir):
                os.makedirs(outputdir)
                if verbose:
                    print 'Folder %s was created.' % (outputdir)

        if isPickled:
            dsList.pickle(verbose=verbose)

        if isConv:
            ppconverrorbars.main(dictAlg, outputdir, verbose)

        if isfigure:
            print "Scaling figures...",
            sys.stdout.flush()
            # ERT/dim vs dim.
            plt.rc("axes", **inset.rcaxeslarger)
            plt.rc("xtick", **inset.rcticklarger)
            plt.rc("ytick", **inset.rcticklarger)
            plt.rc("font", **inset.rcfontlarger)
            plt.rc("legend", **inset.rclegendlarger)
            ppfigdim.main(dsList, ppfigdim.values_of_interest, outputdir,
                          verbose)
            plt.rcdefaults()
            print_done()

        plt.rc("axes", **inset.rcaxes)
        plt.rc("xtick", **inset.rctick)
        plt.rc("ytick", **inset.rctick)
        plt.rc("font", **inset.rcfont)
        plt.rc("legend", **inset.rclegend)

        if istab:
            print "TeX tables...",
            sys.stdout.flush()
            dictNoise = dsList.dictByNoise()
            for noise, sliceNoise in dictNoise.iteritems():
                pptable.main(sliceNoise, inset.tabDimsOfInterest, outputdir,
                             noise, verbose)
            print_done()

        if isrldistr:
            print "ECDF graphs...",
            sys.stdout.flush()
            dictNoise = dsList.dictByNoise()
            if len(dictNoise) > 1:
                warnings.warn('Data for functions from both the noisy and '
                              'non-noisy testbeds have been found. Their '
                              'results will be mixed in the "all functions" '
                              'ECDF figures.')
            dictDim = dsList.dictByDim()
            for dim in inset.rldDimsOfInterest:
                try:
                    sliceDim = dictDim[dim]
                except KeyError:
                    continue

                pprldistr.main(sliceDim, True, outputdir, 'all', verbose)
                dictNoise = sliceDim.dictByNoise()
                for noise, sliceNoise in dictNoise.iteritems():
                    pprldistr.main(sliceNoise, True, outputdir, '%s' % noise,
                                   verbose)
                dictFG = sliceDim.dictByFuncGroup()
                for fGroup, sliceFuncGroup in dictFG.items():
                    pprldistr.main(sliceFuncGroup, True, outputdir,
                                   '%s' % fGroup, verbose)

                pprldistr.fmax = None  # Resetting the max final value
                pprldistr.evalfmax = None  # Resetting the max #fevalsfactor

            print_done()

        if islogloss:
            print "ERT loss ratio figures and tables...",
            sys.stdout.flush()
            for ng, sliceNoise in dsList.dictByNoise().iteritems():
                if ng == 'noiselessall':
                    testbed = 'noiseless'
                elif ng == 'nzall':
                    testbed = 'noisy'
                txt = ("Please input crafting effort value " +
                       "for %s testbed:\n  CrE = " % testbed)
                CrE = inputCrE
                while CrE is None:
                    try:
                        CrE = float(raw_input(txt))
                    except (SyntaxError, NameError, ValueError):
                        print "Float value required."
                dictDim = sliceNoise.dictByDim()
                for d in inset.rldDimsOfInterest:
                    try:
                        sliceDim = dictDim[d]
                    except KeyError:
                        continue
                    info = '%s' % ng
                    pplogloss.main(sliceDim,
                                   CrE,
                                   True,
                                   outputdir,
                                   info,
                                   verbose=verbose)
                    pplogloss.generateTable(sliceDim,
                                            CrE,
                                            outputdir,
                                            info,
                                            verbose=verbose)
                    for fGroup, sliceFuncGroup in sliceDim.dictByFuncGroup(
                    ).iteritems():
                        info = '%s' % fGroup
                        pplogloss.main(sliceFuncGroup,
                                       CrE,
                                       True,
                                       outputdir,
                                       info,
                                       verbose=verbose)
                    pplogloss.evalfmax = None  # Resetting the max #fevalsfactor

            print_done()

        latex_commands_file = os.path.join(
            outputdir.split(os.sep)[0], 'bbob_pproc_commands.tex')
        prepend_to_file(latex_commands_file, [
            '\\providecommand{\\bbobloglosstablecaption}[1]{',
            pplogloss.table_caption, '}'
        ])
        prepend_to_file(latex_commands_file, [
            '\\providecommand{\\bbobloglossfigurecaption}[1]{',
            pplogloss.figure_caption, '}'
        ])
        prepend_to_file(
            latex_commands_file,
            [
                '\\providecommand{\\bbobpprldistrlegend}[1]{',
                pprldistr.caption_single(
                    np.max([
                        val / dim
                        for dim, val in dict_max_fun_evals.iteritems()
                    ])
                ),  # depends on the config setting, should depend on maxfevals
                '}'
            ])
        prepend_to_file(latex_commands_file, [
            '\\providecommand{\\bbobppfigdimlegend}[1]{',
            ppfigdim.scaling_figure_caption(), '}'
        ])
        prepend_to_file(latex_commands_file, [
            '\\providecommand{\\bbobpptablecaption}[1]{',
            pptable.table_caption, '}'
        ])
        prepend_to_file(latex_commands_file,
                        ['\\providecommand{\\algfolder}{}'
                         ])  # is overwritten in rungeneric.py
        prepend_to_file(latex_commands_file, [
            '\\providecommand{\\algname}{' +
            (str_to_latex(strip_pathname(args[0]))
             if len(args) == 1 else str_to_latex(dsList[0].algId)) + '{}}'
        ])
        if isfigure or istab or isrldistr or islogloss:
            print "Output data written to folder %s" % outputdir

        plt.rcdefaults()
Beispiel #2
0
def main(argv=None):
    """Generates from BBOB experiment data some outputs for a tex document.

    Provided with some index entries (found in files with the 'info' extension)
    this routine outputs figure and TeX files in the folder 'ppdata' needed for
    the compilation of  latex document templateBBOBarticle.tex. These output
    files will contain performance tables, performance scaling figures and
    empirical cumulative distribution figures. On subsequent executions, new
    files will be added to the output directory, overwriting existing older
    files in the process.

    Keyword arguments:
    argv -- list of strings containing options and arguments. If not given,
    sys.argv is accessed.

    argv should list either names of info files or folders containing info
    files. argv can also contain post-processed pickle files generated by this
    routine. Furthermore, argv can begin with, in any order, facultative option
    flags listed below.

        -h, --help

            display this message

        -v, --verbose

            verbose mode, prints out operations. When not in verbose mode, no
            output is to be expected, except for errors.

        -p, --pickle

            generates pickle post processed data files.

        -o, --output-dir OUTPUTDIR

            change the default output directory ('ppdata') to OUTPUTDIR

        --crafting-effort=VALUE

            sets the crafting effort to VALUE. Otherwise the user will be
            prompted. This flag is useful when running this script in batch.

        -f, --final

            lengthens the bootstrapping process used as dispersion measure in
            the tables generation. This might at least double the time of the
            whole post-processing. Please use this option when generating your
            final paper.

        --tab-only, --fig-only, --rld-only, --los-only

            these options can be used to output respectively the tex tables,
            convergence and ENFEs graphs figures, run length distribution
            figures, ERT loss ratio figures only. A combination of any two of
            these options results in no output.

    Exceptions raised:
    Usage -- Gives back a usage message.

    Examples:

    * Calling the run.py interface from the command line:

        $ python bbob_pproc/run.py -v experiment1

    will post-process the folder experiment1 and all its containing data,
    base on the found .info files in the folder. The result will appear
    in folder ppdata. The -v option adds verbosity.

        $ python bbob_pproc/run.py -o otherppdata experiment2/*.info

    This will execute the post-processing on the info files found in
    experiment2. The result will be located in the alternative location
    otherppdata.

    * Loading this package and calling the main from the command line
      (requires that the path to this package is in python search path):

        $ python -m bbob_pproc -h

    This will print out this help message.

    * From the python interactive shell (requires that the path to this
      package is in python search path):

        >>> import bbob_pproc
        >>> bbob_pproc.main('-o outputfolder folder1'.split())

    This will execute the post-processing on the index files found in folder1.
    The -o option changes the output folder from the default ppdata to
    outputfolder.

    """

    if argv is None:
        argv = sys.argv[1:]
        # The zero-th input argument which is the name of the calling script is
        # disregarded.

    try:

        try:
            opts, args = getopt.getopt(argv, "hvpfo:", [
                "help", "output-dir=", "tab-only", "fig-only", "rld-only",
                "los-only", "crafting-effort=", "pickle", "verbose", "final"
            ])
        except getopt.error, msg:
            raise Usage(msg)

        if not (args):
            usage()
            sys.exit()

        CrE = None
        isfigure = True
        istab = True
        isrldistr = True
        islogloss = True
        isPostProcessed = False
        isPickled = False
        isDraft = True
        verbose = False
        outputdir = 'ppdata'

        #Process options
        for o, a in opts:
            if o in ("-v", "--verbose"):
                verbose = True
            elif o in ("-h", "--help"):
                usage()
                sys.exit()
            elif o in ("-p", "--pickle"):
                isPickled = True
            elif o in ("-o", "--output-dir"):
                outputdir = a
            elif o in ("-f", "--final"):
                isDraft = False
            #The next 3 are for testing purpose
            elif o == "--tab-only":
                isfigure = False
                isrldistr = False
                islogloss = False
            elif o == "--fig-only":
                istab = False
                isrldistr = False
                islogloss = False
            elif o == "--rld-only":
                istab = False
                isfigure = False
                islogloss = False
            elif o == "--los-only":
                istab = False
                isfigure = False
                isrldistr = False
            elif o == "--crafting-effort":
                try:
                    CrE = float(a)
                except ValueError:
                    raise Usage(
                        'Expect a valid float for flag crafting-effort.')
            else:
                assert False, "unhandled option"

        if (not verbose):
            warnings.simplefilter('ignore')

        print("BBOB Post-processing: will generate post-processing " +
              "data in folder %s" % outputdir)
        print "  this might take several minutes."

        filelist = list()
        for i in args:
            if os.path.isdir(i):
                filelist.extend(findfiles.main(i, verbose))
            elif os.path.isfile(i):
                filelist.append(i)
            else:
                txt = 'Input file or folder %s could not be found.'
                raise Usage(txt)

        dsList = DataSetList(filelist, verbose)

        if not dsList:
            raise Usage("Nothing to do: post-processing stopped.")

        if (verbose):
            for i in dsList:
                if (dict((j, i.itrials.count(j))
                         for j in set(i.itrials)) != instancesOfInterest2010):
                    warnings.warn('The data of %s do not list ' % (i) +
                                  'the correct instances ' +
                                  'of function F%d.' % (i.funcId))

                # BBOB 2009 Checking
                #if ((dict((j, i.itrials.count(j)) for j in set(i.itrials)) !=
                #instancesOfInterest) and
                #(dict((j, i.itrials.count(j)) for j in set(i.itrials)) !=
                #instancesOfInterest2010)):
                #warnings.warn('The data of %s do not list ' %(i) +
                #'the correct instances ' +
                #'of function F%d or the ' %(i.funcId) +
                #'correct number of trials for each.')

        dictAlg = dsList.dictByAlg()
        if len(dictAlg) > 1:
            warnings.warn('Data with multiple algId %s ' % (dictAlg) +
                          'will be processed together.')
            #TODO: in this case, all is well as long as for a given problem
            #(given dimension and function) there is a single instance of
            #DataSet associated. If there are more than one, the first one only
            #will be considered... which is probably not what one would expect.
            #TODO: put some errors where this case would be a problem.

        if isfigure or istab or isrldistr or islogloss:
            if not os.path.exists(outputdir):
                os.mkdir(outputdir)
                if verbose:
                    print 'Folder %s was created.' % (outputdir)

        if isPickled:
            dsList.pickle(verbose=verbose)

        if isfigure:
            ppfigdim.main(dsList, figValsOfInterest, outputdir, verbose)
            #ERT/dim vs dim.
            #ppfigdim.main2(dsList, figValsOfInterest, outputdir,
            #verbose)
            print "Scaling figures done."

        if istab:
            dictFunc = dsList.dictByFunc()
            for fun, sliceFun in dictFunc.items():
                dictDim = sliceFun.dictByDim()
                tmp = []
                for dim in tabDimsOfInterest:
                    try:
                        if len(dictDim[dim]) > 1:
                            warnings.warn(
                                'Func: %d, DIM %d: ' % (fun, dim) +
                                'multiple index entries. Will only ' +
                                'process the first ' + '%s.' % dictDim[dim][0])
                        tmp.append(dictDim[dim][0])
                    except KeyError:
                        pass
                if tmp:
                    filename = os.path.join(outputdir, 'ppdata_f%d' % fun)
                    pptex.main(tmp, tabValsOfInterest, filename, isDraft,
                               verbose)
            print "TeX tables",
            if isDraft:
                print(
                    "(draft) done. To get final version tables, please "
                    "use the -f option with run.py")
            else:
                print "done."

        if isrldistr:
            dictNoise = dsList.dictByNoise()
            if len(dictNoise) > 1:
                warnings.warn('Data for functions from both the noisy and '
                              'non-noisy testbeds have been found. Their '
                              'results will be mixed in the "all functions" '
                              'ECDF figures.')
            dictDim = dsList.dictByDim()
            for dim in rldDimsOfInterest:
                try:
                    sliceDim = dictDim[dim]
                    pprldistr.main(sliceDim, rldValsOfInterest, True,
                                   outputdir, 'dim%02dall' % dim, verbose)
                    dictNoise = sliceDim.dictByNoise()
                    for noise, sliceNoise in dictNoise.iteritems():
                        pprldistr.main(sliceNoise, rldValsOfInterest, True,
                                       outputdir, 'dim%02d%s' % (dim, noise),
                                       verbose)
                    dictFG = sliceDim.dictByFuncGroup()
                    for fGroup, sliceFuncGroup in dictFG.items():
                        pprldistr.main(sliceFuncGroup, rldValsOfInterest, True,
                                       outputdir, 'dim%02d%s' % (dim, fGroup),
                                       verbose)

                    pprldistr.fmax = None  #Resetting the max final value
                    pprldistr.evalfmax = None  #Resetting the max #fevalsfactor
                except KeyError:
                    pass
            print "ECDF graphs done."

        if islogloss:
            for ng, sliceNoise in dsList.dictByNoise().iteritems():
                if ng == 'noiselessall':
                    testbed = 'noiseless'
                elif ng == 'nzall':
                    testbed = 'noisy'
                txt = ("Please input crafting effort value " +
                       "for %s testbed:\n  CrE = " % testbed)
                while CrE is None:
                    try:
                        CrE = float(input(txt))
                    except (SyntaxError, NameError, ValueError):
                        print "Float value required."
                dictDim = sliceNoise.dictByDim()
                for d in rldDimsOfInterest:
                    try:
                        sliceDim = dictDim[d]
                    except KeyError:
                        continue
                    info = 'dim%02d%s' % (d, ng)
                    pplogloss.main(sliceDim,
                                   CrE,
                                   True,
                                   outputdir,
                                   info,
                                   verbose=verbose)
                    pplogloss.generateTable(sliceDim,
                                            CrE,
                                            outputdir,
                                            info,
                                            verbose=verbose)
                    for fGroup, sliceFuncGroup in sliceDim.dictByFuncGroup(
                    ).iteritems():
                        info = 'dim%02d%s' % (d, fGroup)
                        pplogloss.main(sliceFuncGroup,
                                       CrE,
                                       True,
                                       outputdir,
                                       info,
                                       verbose=verbose)
                    pplogloss.evalfmax = None  #Resetting the max #fevalsfactor

            print "ERT loss ratio figures and tables done."

        if isfigure or istab or isrldistr or islogloss:
            print "Output data written to folder %s." % outputdir
Beispiel #3
0
def main(argv=None):
    r"""Post-processing COCO data of a single algorithm.

    Provided with some data, this routine outputs figure and TeX files
    in a folder needed for the compilation of latex document
    :file:`template1XXX.tex` or :file:`noisytemplate1XXX.tex`, where 
    :file:`XXX` is either :file:`ecj` or :file:`generic`. The template
    file needs to be edited so that the commands
    ``\bbobdatapath`` and ``\algfolder`` point to the output folder.

    These output files will contain performance tables, performance
    scaling figures and empirical cumulative distribution figures. On
    subsequent executions, new files will be added to the output folder,
    overwriting existing older files in the process.

    Keyword arguments:

    *argv* -- list of strings containing options and arguments. If not
    given, sys.argv is accessed.

    *argv* should list either names of :file:`info` files or folders
    containing :file:`info` files. argv can also contain post-processed
    :file:`pickle` files generated by this routine. Furthermore, *argv*
    can begin with, in any order, facultative option flags listed below.

        -h, --help
            displays this message.
        -v, --verbose
            verbose mode, prints out all operations.
        -p, --pickle
            generates pickle post processed data files.
        -o OUTPUTDIR, --output-dir=OUTPUTDIR
            changes the default output directory (:file:`ppdata`) to
            :file:`OUTPUTDIR`.
        --crafting-effort=VALUE
            sets the crafting effort to VALUE (float). Otherwise the
            default value of 0. will be used.
        --noise-free, --noisy
            processes only part of the data.
        --settings=SETTINGS
            changes the style of the output figures and tables. At the
            moment the only differences are  in the colors of the output
            figures. SETTINGS can be either "grayscale", "color" or
            "black-white". The default setting is "color".
        --tab-only, --fig-only, --rld-only, --los-only
            these options can be used to output respectively the TeX
            tables, convergence and ERTs graphs figures, run length
            distribution figures, ERT loss ratio figures only. A
            combination of any two of these options results in no
            output.
        --conv
            if this option is chosen, additionally convergence plots
            for each function and algorithm are generated.
        --expensive
            runlength-based f-target values and fixed display limits,
            useful with comparatively small budgets. By default the
            setting is based on the budget used in the data.
        --not-expensive
            expensive setting off. 
        --runlength-based
            runlength-based f-target values, such that the
            "level of difficulty" is similar for all functions. 

    Exceptions raised:

    *Usage* -- Gives back a usage message.

    Examples:

    * Calling the rungeneric1.py interface from the command line::

        $ python bbob_pproc/rungeneric1.py -v experiment1

      will post-process the folder experiment1 and all its containing
      data, base on the .info files found in the folder. The result will
      appear in the default output folder. The -v option adds verbosity. ::

        $ python bbob_pproc/rungeneric1.py -o exp2 experiment2/*.info

      This will execute the post-processing on the info files found in
      :file:`experiment2`. The result will be located in the alternative
      location :file:`exp2`.

    * Loading this package and calling the main from the command line
      (requires that the path to this package is in python search path)::

        $ python -m bbob_pproc.rungeneric1 -h

      This will print out this help message.

    * From the python interpreter (requires that the path to this
      package is in python search path)::

        >> import bbob_pproc as bb
        >> bb.rungeneric1.main('-o outputfolder folder1'.split())

      This will execute the post-processing on the index files found in
      :file:`folder1`. The ``-o`` option changes the output folder from
      the default to :file:`outputfolder`.

    """

    if argv is None:
        argv = sys.argv[1:]
        # The zero-th input argument which is the name of the calling script is
        # disregarded.

    if 1 < 3:
        opts, args = getopt.getopt(argv, shortoptlist, longoptlist)
        if 11 < 3:
            try:
                opts, args = getopt.getopt(argv, shortoptlist, longoptlist)
            except getopt.error, msg:
                raise Usage(msg)

        if not (args) and not '--help' in argv and not 'h' in argv:
            print 'not enough input arguments given'
            print 'cave: the following options also need an argument:'
            print [o for o in longoptlist if o[-1] == '=']
            print 'options given:'
            print opts
            print 'try --help for help'
            sys.exit()

        inputCrE = 0.
        isfigure = True
        istab = True
        isrldistr = True
        islogloss = True
        isPostProcessed = False
        isPickled = False
        verbose = False
        outputdir = 'ppdata'
        isNoisy = False
        isNoiseFree = False
        inputsettings = 'color'
        isConv = False
        isRLbased = None  # allows automatic choice
        isExpensive = None 

        # Process options
        for o, a in opts:
            if o in ("-v", "--verbose"):
                verbose = True
            elif o in ("-h", "--help"):
                usage()
                sys.exit()
            elif o in ("-p", "--pickle"):
                isPickled = True
            elif o in ("-o", "--output-dir"):
                outputdir = a
            elif o == "--noisy":
                isNoisy = True
            elif o == "--noise-free":
                isNoiseFree = True
            # The next 4 are for testing purpose
            elif o == "--tab-only":
                isfigure = False
                isrldistr = False
                islogloss = False
            elif o == "--fig-only":
                istab = False
                isrldistr = False
                islogloss = False
            elif o == "--rld-only":
                istab = False
                isfigure = False
                islogloss = False
            elif o == "--los-only":
                istab = False
                isfigure = False
                isrldistr = False
            elif o == "--crafting-effort":
                try:
                    inputCrE = float(a)
                except ValueError:
                    raise Usage('Expect a valid float for flag crafting-effort.')
            elif o == "--settings":
                inputsettings = a
            elif o == "--conv":
                isConv = True
            elif o == "--runlength-based":
                isRLbased = True
            elif o == "--expensive":
                isExpensive = True  # comprises runlength-based
            elif o == "--not-expensive":
                isExpensive = False  
            else:
                assert False, "unhandled option"

        # from bbob_pproc import bbob2010 as inset # input settings
        if inputsettings == "color":
            from bbob_pproc import genericsettings as inset  # input settings
        elif inputsettings == "grayscale":
            from bbob_pproc import grayscalesettings as inset  # input settings
        elif inputsettings == "black-white":
            from bbob_pproc import bwsettings as inset  # input settings
        else:
            txt = ('Settings: %s is not an appropriate ' % inputsettings
                   + 'argument for input flag "--settings".')
            raise Usage(txt)
        
        if 11 < 3:
            from bbob_pproc import config  # input settings
            config.config()
            import imp
            # import testbedsettings as testbedsettings # input settings
            try:
                fp, pathname, description = imp.find_module("testbedsettings")
                testbedsettings = imp.load_module("testbedsettings", fp, pathname, description)
            finally:
                fp.close()

        if (not verbose):
            warnings.simplefilter('module')
            # warnings.simplefilter('ignore')            

        print ("Post-processing (1): will generate output " + 
               "data in folder %s" % outputdir)
        print "  this might take several minutes."

        filelist = list()
        for i in args:
            i = i.strip()
            if os.path.isdir(i):
                filelist.extend(findfiles.main(i, verbose))
            elif os.path.isfile(i):
                filelist.append(i)
            else:
                txt = 'Input file or folder %s could not be found.' % i
                print txt
                raise Usage(txt)
        dsList = DataSetList(filelist, verbose)
        
        if not dsList:
            raise Usage("Nothing to do: post-processing stopped.")

        if isNoisy and not isNoiseFree:
            dsList = dsList.dictByNoise().get('nzall', DataSetList())
        if isNoiseFree and not isNoisy:
            dsList = dsList.dictByNoise().get('noiselessall', DataSetList())

        # compute maxfuneval values
        dict_max_fun_evals = {}
        for ds in dsList:
            dict_max_fun_evals[ds.dim] = np.max((dict_max_fun_evals.setdefault(ds.dim, 0), float(np.max(ds.maxevals))))
        if isRLbased is not None:
            genericsettings.runlength_based_targets = isRLbased

        from bbob_pproc import config
        config.target_values(isExpensive, dict_max_fun_evals)
        config.config()

        if (verbose):
            for i in dsList:
                if (dict((j, i.instancenumbers.count(j)) for j in set(i.instancenumbers)) != 
                    inset.instancesOfInterest):
                    warnings.warn('The data of %s do not list ' % (i) + 
                                  'the correct instances ' + 
                                  'of function F%d.' % (i.funcId))

        dictAlg = dsList.dictByAlg()

        if len(dictAlg) > 1:
            warnings.warn('Data with multiple algId %s ' % (dictAlg) + 
                          'will be processed together.')
            # TODO: in this case, all is well as long as for a given problem
            # (given dimension and function) there is a single instance of
            # DataSet associated. If there are more than one, the first one only
            # will be considered... which is probably not what one would expect.
            # TODO: put some errors where this case would be a problem.
            # raise Usage?

        if isfigure or istab or isrldistr or islogloss:
            if not os.path.exists(outputdir):
                os.makedirs(outputdir)
                if verbose:
                    print 'Folder %s was created.' % (outputdir)

        if isPickled:
            dsList.pickle(verbose=verbose)

        if isConv:
            ppconverrorbars.main(dictAlg, outputdir, verbose)

        if isfigure:
            print "Scaling figures...",
            sys.stdout.flush()
            # ERT/dim vs dim.
            plt.rc("axes", **inset.rcaxeslarger)
            plt.rc("xtick", **inset.rcticklarger)
            plt.rc("ytick", **inset.rcticklarger)
            plt.rc("font", **inset.rcfontlarger)
            plt.rc("legend", **inset.rclegendlarger)
            ppfigdim.main(dsList, ppfigdim.values_of_interest, outputdir, verbose)
            plt.rcdefaults()
            print_done()

        plt.rc("axes", **inset.rcaxes)
        plt.rc("xtick", **inset.rctick)
        plt.rc("ytick", **inset.rctick)
        plt.rc("font", **inset.rcfont)
        plt.rc("legend", **inset.rclegend)

        if istab:
            print "TeX tables...",
            sys.stdout.flush()
            dictNoise = dsList.dictByNoise()
            for noise, sliceNoise in dictNoise.iteritems():
                pptable.main(sliceNoise, inset.tabDimsOfInterest, outputdir,
                             noise, verbose)
            print_done()

        if isrldistr:
            print "ECDF graphs...",
            sys.stdout.flush()
            dictNoise = dsList.dictByNoise()
            if len(dictNoise) > 1:
                warnings.warn('Data for functions from both the noisy and '
                              'non-noisy testbeds have been found. Their '
                              'results will be mixed in the "all functions" '
                              'ECDF figures.')
            dictDim = dsList.dictByDim()
            for dim in inset.rldDimsOfInterest:
                try:
                    sliceDim = dictDim[dim]
                except KeyError:
                    continue

                pprldistr.main(sliceDim, True,
                               outputdir, 'all', verbose)
                dictNoise = sliceDim.dictByNoise()
                for noise, sliceNoise in dictNoise.iteritems():
                    pprldistr.main(sliceNoise, True,
                                   outputdir, '%s' % noise, verbose)
                dictFG = sliceDim.dictByFuncGroup()
                for fGroup, sliceFuncGroup in dictFG.items():
                    pprldistr.main(sliceFuncGroup,
                                   True, outputdir, '%s' % fGroup, verbose)

                pprldistr.fmax = None  # Resetting the max final value
                pprldistr.evalfmax = None  # Resetting the max #fevalsfactor

            print_done()

        if islogloss:
            print "ERT loss ratio figures and tables...",
            sys.stdout.flush()
            for ng, sliceNoise in dsList.dictByNoise().iteritems():
                if ng == 'noiselessall':
                    testbed = 'noiseless'
                elif ng == 'nzall':
                    testbed = 'noisy'
                txt = ("Please input crafting effort value "
                       + "for %s testbed:\n  CrE = " % testbed)
                CrE = inputCrE
                while CrE is None:
                    try:
                        CrE = float(raw_input(txt))
                    except (SyntaxError, NameError, ValueError):
                        print "Float value required."
                dictDim = sliceNoise.dictByDim()
                for d in inset.rldDimsOfInterest:
                    try:
                        sliceDim = dictDim[d]
                    except KeyError:
                        continue
                    info = '%s' % ng
                    pplogloss.main(sliceDim, CrE, True, outputdir, info,
                                   verbose=verbose)
                    pplogloss.generateTable(sliceDim, CrE, outputdir, info,
                                            verbose=verbose)
                    for fGroup, sliceFuncGroup in sliceDim.dictByFuncGroup().iteritems():
                        info = '%s' % fGroup
                        pplogloss.main(sliceFuncGroup, CrE, True, outputdir, info,
                                       verbose=verbose)
                    pplogloss.evalfmax = None  # Resetting the max #fevalsfactor

            print_done()

        latex_commands_file = os.path.join(outputdir.split(os.sep)[0], 'bbob_pproc_commands.tex')
        prepend_to_file(latex_commands_file,
                        ['\\providecommand{\\bbobloglosstablecaption}[1]{', 
                         pplogloss.table_caption, '}'])
        prepend_to_file(latex_commands_file,
                        ['\\providecommand{\\bbobloglossfigurecaption}[1]{', 
                         pplogloss.figure_caption, '}'])
        prepend_to_file(latex_commands_file,
                        ['\\providecommand{\\bbobpprldistrlegend}[1]{',
                         pprldistr.caption_single(np.max([ val / dim for dim, val in dict_max_fun_evals.iteritems()])),  # depends on the config setting, should depend on maxfevals
                         '}'])
        prepend_to_file(latex_commands_file,
                        ['\\providecommand{\\bbobppfigdimlegend}[1]{',
                         ppfigdim.scaling_figure_caption(),
                         '}'])
        prepend_to_file(latex_commands_file,
                        ['\\providecommand{\\bbobpptablecaption}[1]{',
                         pptable.table_caption,
                         '}'])
        prepend_to_file(latex_commands_file,
                        ['\\providecommand{\\algfolder}{}'])  # is overwritten in rungeneric.py
        prepend_to_file(latex_commands_file,
                        ['\\providecommand{\\algname}{' + 
                         (str_to_latex(strip_pathname(args[0])) if len(args) == 1 else str_to_latex(dsList[0].algId)) + '{}}'])
        if isfigure or istab or isrldistr or islogloss:
            print "Output data written to folder %s" % outputdir

        plt.rcdefaults()
Beispiel #4
0
def main(argv=None):
    r"""Post-processing COCO data of a single algorithm.

    Provided with some data, this routine outputs figure and TeX files
    in a folder needed for the compilation of the provided LaTeX templates
    for one algorithm (``*article.tex`` or ``*1*.tex``).
    The used template file needs to be edited so that the commands
    ``\bbobdatapath`` and ``\algfolder`` point to the output folder created
    by this routine.

    These output files will contain performance tables, performance
    scaling figures and empirical cumulative distribution figures. On
    subsequent executions, new files will be added to the output folder,
    overwriting existing older files in the process.

    Keyword arguments:

    *argv* -- list of strings containing options and arguments. If not
    given, sys.argv is accessed.

    *argv* should list either names of :file:`info` files or folders
    containing :file:`info` files. argv can also contain post-processed
    :file:`pickle` files generated by this routine. Furthermore, *argv*
    can begin with, in any order, facultative option flags listed below.

        -h, --help
            displays this message.
        -v, --verbose
            verbose mode, prints out all operations.
        -p, --pickle
            generates pickle post processed data files.
        -o OUTPUTDIR, --output-dir=OUTPUTDIR
            changes the default output directory (:file:`ppdata`) to
            :file:`OUTPUTDIR`.
        --crafting-effort=VALUE
            sets the crafting effort to VALUE (float). Otherwise the
            default value of 0. will be used.
        --noise-free, --noisy
            processes only part of the data.
        --settings=SETTINGS
            changes the style of the output figures and tables. At the
            moment the only differences are  in the colors of the output
            figures. SETTINGS can be either "grayscale", "color" or
            "black-white". The default setting is "color".
        --tab-only, --fig-only, --rld-only, --los-only
            these options can be used to output respectively the TeX
            tables, convergence and ERTs graphs figures, run length
            distribution figures, ERT loss ratio figures only. A
            combination of any two of these options results in no
            output.
        --conv
            if this option is chosen, additionally convergence plots
            for each function and algorithm are generated.
        --rld-single-fcts
            generate also runlength distribution figures for each
            single function.
        --expensive
            runlength-based f-target values and fixed display limits,
            useful with comparatively small budgets. By default the
            setting is based on the budget used in the data.
        --not-expensive
            expensive setting off. 
        --svg
            generate also the svg figures which are used in html files 
        --runlength-based
            runlength-based f-target values, such that the
            "level of difficulty" is similar for all functions. 

    Exceptions raised:

    *Usage* -- Gives back a usage message.

    Examples:

    * Calling the rungeneric1.py interface from the command line::

        $ python bbob_pproc/rungeneric1.py -v experiment1

      will post-process the folder experiment1 and all its containing
      data, base on the .info files found in the folder. The result will
      appear in the default output folder. The -v option adds verbosity. ::

        $ python bbob_pproc/rungeneric1.py -o exp2 experiment2/*.info

      This will execute the post-processing on the info files found in
      :file:`experiment2`. The result will be located in the alternative
      location :file:`exp2`.

    * Loading this package and calling the main from the command line
      (requires that the path to this package is in python search path)::

        $ python -m bbob_pproc.rungeneric1 -h

      This will print out this help message.

    * From the python interpreter (requires that the path to this
      package is in python search path)::

        >> import bbob_pproc as bb
        >> bb.rungeneric1.main('-o outputfolder folder1'.split())

      This will execute the post-processing on the index files found in
      :file:`folder1`. The ``-o`` option changes the output folder from
      the default to :file:`outputfolder`.

    """

    if argv is None:
        argv = sys.argv[1:]
        # The zero-th input argument which is the name of the calling script is
        # disregarded.

    if 1 < 3:
        opts, args = getopt.getopt(argv, genericsettings.shortoptlist, genericsettings.longoptlist)
        if 11 < 3:
            try:
                opts, args = getopt.getopt(argv, genericsettings.shortoptlist, genericsettings.longoptlist)
            except getopt.error, msg:
                raise Usage(msg)

        if not (args) and not "--help" in argv and not "h" in argv:
            print "not enough input arguments given"
            print "cave: the following options also need an argument:"
            print [o for o in genericsettings.longoptlist if o[-1] == "="]
            print "options given:"
            print opts
            print "try --help for help"
            sys.exit()

        # Process options
        outputdir = genericsettings.outputdir
        for o, a in opts:
            if o in ("-v", "--verbose"):
                genericsettings.verbose = True
            elif o in ("-h", "--help"):
                usage()
                sys.exit()
            elif o in ("-p", "--pickle"):
                genericsettings.isPickled = True
            elif o in ("-o", "--output-dir"):
                outputdir = a
            elif o == "--noisy":
                genericsettings.isNoisy = True
            elif o == "--noise-free":
                genericsettings.isNoiseFree = True
            # The next 4 are for testing purpose
            elif o == "--tab-only":
                genericsettings.isFig = False
                genericsettings.isRLDistr = False
                genericsettings.isLogLoss = False
            elif o == "--fig-only":
                genericsettings.isTab = False
                genericsettings.isRLDistr = False
                genericsettings.isLogLoss = False
            elif o == "--rld-only":
                genericsettings.isTab = False
                genericsettings.isFig = False
                genericsettings.isLogLoss = False
            elif o == "--los-only":
                genericsettings.isTab = False
                genericsettings.isFig = False
                genericsettings.isRLDistr = False
            elif o == "--crafting-effort":
                try:
                    genericsettings.inputCrE = float(a)
                except ValueError:
                    raise Usage("Expect a valid float for flag crafting-effort.")
            elif o == "--settings":
                genericsettings.inputsettings = a
            elif o == "--conv":
                genericsettings.isConv = True
            elif o == "--rld-single-fcts":
                genericsettings.isRldOnSingleFcts = True
            elif o == "--runlength-based":
                genericsettings.runlength_based_targets = True
            elif o == "--expensive":
                genericsettings.isExpensive = True  # comprises runlength-based
            elif o == "--not-expensive":
                genericsettings.isExpensive = False
            elif o == "--svg":
                genericsettings.generate_svg_files = True
            elif o == "--sca-only":
                warnings.warn("option --sca-only will have no effect with rungeneric1.py")
            else:
                assert False, "unhandled option"

        # from bbob_pproc import bbob2010 as inset # input settings
        if genericsettings.inputsettings == "color":
            from bbob_pproc import genericsettings as inset  # input settings
        elif genericsettings.inputsettings == "grayscale":
            from bbob_pproc import grayscalesettings as inset  # input settings
        elif genericsettings.inputsettings == "black-white":
            from bbob_pproc import bwsettings as inset  # input settings
        else:
            txt = (
                "Settings: %s is not an appropriate " % genericsettings.inputsettings
                + 'argument for input flag "--settings".'
            )
            raise Usage(txt)

        if 11 < 3:
            from bbob_pproc import config  # input settings

            config.config(False)
            import imp

            # import testbedsettings as testbedsettings # input settings
            try:
                fp, pathname, description = imp.find_module("testbedsettings")
                testbedsettings = imp.load_module("testbedsettings", fp, pathname, description)
            finally:
                fp.close()

        if not genericsettings.verbose:
            warnings.simplefilter("module")
            # warnings.simplefilter('ignore')

        # get directory name if outputdir is a archive file
        algfolder = findfiles.get_output_directory_subfolder(args[0])
        outputdir = os.path.join(outputdir, algfolder)

        print ("Post-processing (1): will generate output " + "data in folder %s" % outputdir)
        print "  this might take several minutes."

        filelist = list()
        for i in args:
            i = i.strip()
            if os.path.isdir(i):
                filelist.extend(findfiles.main(i, genericsettings.verbose))
            elif os.path.isfile(i):
                filelist.append(i)
            else:
                txt = "Input file or folder %s could not be found." % i
                print txt
                raise Usage(txt)
        dsList = DataSetList(filelist, genericsettings.verbose)

        if not dsList:
            raise Usage("Nothing to do: post-processing stopped.")

        if genericsettings.isNoisy and not genericsettings.isNoiseFree:
            dsList = dsList.dictByNoise().get("nzall", DataSetList())
        if genericsettings.isNoiseFree and not genericsettings.isNoisy:
            dsList = dsList.dictByNoise().get("noiselessall", DataSetList())

        # compute maxfuneval values
        dict_max_fun_evals = {}
        for ds in dsList:
            dict_max_fun_evals[ds.dim] = np.max((dict_max_fun_evals.setdefault(ds.dim, 0), float(np.max(ds.maxevals))))

        from bbob_pproc import config

        config.target_values(genericsettings.isExpensive, dict_max_fun_evals)
        config.config(dsList.isBiobjective())

        if genericsettings.verbose:
            for i in dsList:
                if dict((j, i.instancenumbers.count(j)) for j in set(i.instancenumbers)) != inset.instancesOfInterest:
                    warnings.warn(
                        "The data of %s do not list " % (i) + "the correct instances " + "of function F%d." % (i.funcId)
                    )

        dictAlg = dsList.dictByAlg()

        if len(dictAlg) > 1:
            warnings.warn("Data with multiple algId %s " % str(dictAlg.keys()) + "will be processed together.")
            # TODO: in this case, all is well as long as for a given problem
            # (given dimension and function) there is a single instance of
            # DataSet associated. If there are more than one, the first one only
            # will be considered... which is probably not what one would expect.
            # TODO: put some errors where this case would be a problem.
            # raise Usage?

        if genericsettings.isFig or genericsettings.isTab or genericsettings.isRLDistr or genericsettings.isLogLoss:
            if not os.path.exists(outputdir):
                os.makedirs(outputdir)
                if genericsettings.verbose:
                    print "Folder %s was created." % (outputdir)

        if genericsettings.isPickled:
            dsList.pickle(verbose=genericsettings.verbose)

        if genericsettings.isConv:
            ppconverrorbars.main(dictAlg, outputdir, genericsettings.verbose)

        if genericsettings.isFig:
            print "Scaling figures...",
            sys.stdout.flush()
            # ERT/dim vs dim.
            plt.rc("axes", **inset.rcaxeslarger)
            plt.rc("xtick", **inset.rcticklarger)
            plt.rc("ytick", **inset.rcticklarger)
            plt.rc("font", **inset.rcfontlarger)
            plt.rc("legend", **inset.rclegendlarger)
            plt.rc("pdf", fonttype=42)
            ppfigdim.main(dsList, ppfigdim.values_of_interest, outputdir, genericsettings.verbose)
            plt.rcdefaults()
            print_done()

        plt.rc("axes", **inset.rcaxes)
        plt.rc("xtick", **inset.rctick)
        plt.rc("ytick", **inset.rctick)
        plt.rc("font", **inset.rcfont)
        plt.rc("legend", **inset.rclegend)
        plt.rc("pdf", fonttype=42)

        if genericsettings.isTab:
            print "TeX tables...",
            sys.stdout.flush()
            dictNoise = dsList.dictByNoise()
            for noise, sliceNoise in dictNoise.iteritems():
                pptable.main(sliceNoise, inset.tabDimsOfInterest, outputdir, noise, genericsettings.verbose)
            print_done()

        if genericsettings.isRLDistr:
            print "ECDF graphs...",
            sys.stdout.flush()
            dictNoise = dsList.dictByNoise()
            if len(dictNoise) > 1:
                warnings.warn(
                    "Data for functions from both the noisy and "
                    "non-noisy testbeds have been found. Their "
                    'results will be mixed in the "all functions" '
                    "ECDF figures."
                )
            dictDim = dsList.dictByDim()
            for dim in inset.rldDimsOfInterest:
                try:
                    sliceDim = dictDim[dim]
                except KeyError:
                    continue

                pprldistr.main(sliceDim, True, outputdir, "all", genericsettings.verbose)
                dictNoise = sliceDim.dictByNoise()
                for noise, sliceNoise in dictNoise.iteritems():
                    pprldistr.main(sliceNoise, True, outputdir, "%s" % noise, genericsettings.verbose)
                dictFG = sliceDim.dictByFuncGroup()
                for fGroup, sliceFuncGroup in dictFG.items():
                    pprldistr.main(sliceFuncGroup, True, outputdir, "%s" % fGroup, genericsettings.verbose)

                pprldistr.fmax = None  # Resetting the max final value
                pprldistr.evalfmax = None  # Resetting the max #fevalsfactor

            if (
                genericsettings.isRldOnSingleFcts
            ):  # copy-paste from above, here for each function instead of function groups
                # ECDFs for each function
                pprldmany.all_single_functions(dictAlg, None, outputdir, genericsettings.verbose)
            print_done()

        if genericsettings.isLogLoss:
            print "ERT loss ratio figures and tables...",
            sys.stdout.flush()
            for ng, sliceNoise in dsList.dictByNoise().iteritems():
                if ng == "noiselessall":
                    testbed = "noiseless"
                elif ng == "nzall":
                    testbed = "noisy"
                txt = "Please input crafting effort value " + "for %s testbed:\n  CrE = " % testbed
                CrE = genericsettings.inputCrE
                while CrE is None:
                    try:
                        CrE = float(raw_input(txt))
                    except (SyntaxError, NameError, ValueError):
                        print "Float value required."
                dictDim = sliceNoise.dictByDim()
                for d in inset.rldDimsOfInterest:
                    try:
                        sliceDim = dictDim[d]
                    except KeyError:
                        continue
                    info = "%s" % ng
                    pplogloss.main(sliceDim, CrE, True, outputdir, info, verbose=genericsettings.verbose)
                    pplogloss.generateTable(sliceDim, CrE, outputdir, info, verbose=genericsettings.verbose)
                    for fGroup, sliceFuncGroup in sliceDim.dictByFuncGroup().iteritems():
                        info = "%s" % fGroup
                        pplogloss.main(sliceFuncGroup, CrE, True, outputdir, info, verbose=genericsettings.verbose)
                    pplogloss.evalfmax = None  # Resetting the max #fevalsfactor

            print_done()

        latex_commands_file = os.path.join(outputdir.split(os.sep)[0], "bbob_pproc_commands.tex")
        html_file = os.path.join(outputdir, genericsettings.single_algorithm_file_name + ".html")
        prepend_to_file(
            latex_commands_file, ["\\providecommand{\\bbobloglosstablecaption}[1]{", pplogloss.table_caption, "}"]
        )
        prepend_to_file(
            latex_commands_file, ["\\providecommand{\\bbobloglossfigurecaption}[1]{", pplogloss.figure_caption, "}"]
        )
        prepend_to_file(
            latex_commands_file,
            [
                "\\providecommand{\\bbobpprldistrlegend}[1]{",
                pprldistr.caption_single(
                    np.max([val / dim for dim, val in dict_max_fun_evals.iteritems()])
                ),  # depends on the config setting, should depend on maxfevals
                "}",
            ],
        )
        replace_in_file(
            html_file,
            r"TOBEREPLACED",
            "D, ".join([str(i) for i in pprldistr.single_runlength_factors[:6]]) + "D,&hellip;",
        )
        prepend_to_file(
            latex_commands_file, ["\\providecommand{\\bbobppfigdimlegend}[1]{", ppfigdim.scaling_figure_caption(), "}"]
        )
        prepend_to_file(latex_commands_file, ["\\providecommand{\\bbobpptablecaption}[1]{", pptable.table_caption, "}"])
        prepend_to_file(latex_commands_file, ["\\providecommand{\\algfolder}{" + algfolder + "/}"])
        prepend_to_file(
            latex_commands_file,
            [
                "\\providecommand{\\algname}{"
                + (str_to_latex(strip_pathname1(args[0])) if len(args) == 1 else str_to_latex(dsList[0].algId))
                + "{}}"
            ],
        )
        if genericsettings.isFig or genericsettings.isTab or genericsettings.isRLDistr or genericsettings.isLogLoss:
            print "Output data written to folder %s" % outputdir

        plt.rcdefaults()