Python Analyzer.setResultDirectories方法代码示例

# 需要导入模块: from Analyzer import Analyzer [as 别名]
# 或者: from Analyzer.Analyzer import setResultDirectories [as 别名]

#.........这里部分代码省略.........

        # Actions
        exitAction = QAction("&Exit", self)
        exitAction.setShortcut("Ctrl+Q")
        exitAction.setStatusTip("Exit application")
        exitAction.triggered.connect(qApp.quit)

        copyAction = QAction("&Copy", self)
        copyAction.setShortcut("Ctrl+C")
        copyAction.setStatusTip("Copy metrics")
        copyAction.triggered.connect(self.metrics.copyMetrics)

        aboutAction = QAction("&About", self)
        aboutAction.setStatusTip("About MOOI")
        aboutAction.triggered.connect(self.helpAbout)

        # Menus
        menubar = self.menuBar()
        fileMenu = menubar.addMenu("&File")
        fileMenu.addAction(copyAction)
        fileMenu.addAction(aboutAction)
        fileMenu.addSeparator()
        fileMenu.addAction(exitAction)

    def _loadSettings(self):
        settings = QSettings()
        self.restoreState(settings.value(MainWindow.__PREF_STATE__).toByteArray())
        self.restoreGeometry(settings.value(MainWindow.__PREF_GEOM__).toByteArray())

        paretoDirectory = __RESOURCES_DIR__ + Analyzer.__PARETO__
        self.analyzer.setPareto(paretoDirectory)
        currentDirs = settings.value(MainWindow.__PREF_DIR__)
        if currentDirs is not None:
            self.analyzer.setResultDirectories([directory.toString() for directory in currentDirs.toList()])

        self._updateSolutionSelection()

    def exportImage(self):
        settings = QSettings()
        filename = settings.value(MainWindow.__PREF_SAVE__)
        if filename is None:
            filename = os.path.dirname(__file__)
        else:
            filename = os.path.abspath(os.path.join(str(filename.toString()), os.path.pardir)) + "/"
        filename += "%s_%s.png" % (
            self.currentSolution.functionName,
            "fun" if self.isFunctionSpaceSelected() else "var",
        )

        filename = QFileDialog.getSaveFileName(self, "Export image as", filename, ("PNG image (*.png)"))
        if filename is None or filename == "":
            return

        settings.setValue(MainWindow.__PREF_SAVE__, QVariant(filename))
        self._exportCurrentImage(filename)
        self.statusBar().showMessage("Image saved!", 5000)

    def isFunctionSpaceSelected(self):
        return self.showSolutionsRadio.isChecked()

    def _exportCurrentImage(self, filename=None):
        generation = self.generationSlider.value()
        self.generationLabel.setText("Run: %d" % generation)

        tmp = filename is None
        if tmp:

# 需要导入模块: from Analyzer import Analyzer [as 别名]
# 或者: from Analyzer.Analyzer import setResultDirectories [as 别名]
import Utils
import argparse
import dircache
import os
import shutil
import time

parser = argparse.ArgumentParser(description="Analyze Multi-Objective Optimization algorithm results against true Pareto fronts")
parser.add_argument("--name", "-n", help="name of the selected results")
parser.add_argument("--results", "-r", metavar="RESULT", nargs="+", help="results directory of an algorithm")
parser.add_argument("--functions", "-f", metavar="FUNCTION", nargs="*", help="function to test")
parser.add_argument("--pareto", "-p", help="true Pareto front directory")
args = parser.parse_args()

analyzer = Analyzer()
analyzer.setResultDirectories(args.results)
pareto = args.pareto
if pareto is None:
    pareto = os.path.dirname(__file__) + "/../resources/" + Analyzer.__PARETO__
analyzer.setPareto(pareto)
functions = []
for functionName in analyzer.getFunctionNames():
    if len(args.functions) == 0 or True in [analyzer.functionMatches(fn, functionName) for fn in args.functions]:
        functions.append(functionName.upper())
functions.sort()

resultDir = args.name
if resultDir[-1] == "/":
    resultDir = resultDir[:-1];
if os.path.exists(resultDir):
    newResultDir = "%s-%s" % (resultDir, time.strftime("%Y%m%d-%H%M%S"))

# 需要导入模块: from Analyzer import Analyzer [as 别名]
# 或者: from Analyzer.Analyzer import setResultDirectories [as 别名]
class LatexReporter(object):
    
    __TEMPLATE_REPORT_FILE__ = "report.tex"
    __TEMPLATE_REPORT_DIR__ = Utils.__RESOURCES_DIR__ + "report/"
    __TEMPLATE_PRESENTATION_FILE__ = "presentation.tex"
    __TEMPLATE_PRESENTATION_DIR__ = Utils.__RESOURCES_DIR__ + "presentation/"
    __TEMPLATE_VAR__ = "%RESULTS%"
    __DATA_FORMAT__ = "%.4f"

    def __init__(self):
        self.analyzer = Analyzer("latex")
        
    def getFunctionNames(self, includeNotSolved=False):
        return self.analyzer.getFunctionNames(includeNotSolved)
    
    def setResultDirectories(self, results):
        self.analyzer.setResultDirectories(results)
        
    def setPareto(self, pareto):
        self.analyzer.setPareto(pareto)
    
    def _getBest(self, data):
        n = len(data)
        best = [False] * n
        maxValue = max(data)
        for i in xrange(n):
            if abs(maxValue - data[i]) < Utils.__EPS__:
                best[i] = True
                
        return best
    
    def _getBlockLatex(self, name, description, data1, data2, best):
        n = len(data1)
        if description is None or (len(description) == 1 and description[0] is None):
            latex = ["            \\multicolumn{2}{|c||}{%s}" % name]
        else:
            latex = ["            \\multirow{%d}{*}{%s}" % (n, name)]
        for block in xrange(n):
            latexRow = []
            if description is not None and description[block] is not None:
                latexRow.append(description[block])
            for i in xrange(len(data1[block])):
                latexRow.append(self.analyzer.getFormattedValue(data1[block][i], None if data2 is None \
                                                       else data2[block][i], best[block][i] if best is not None else False))
            latex.append("                & " + " & ".join(latexRow) + " \\\\")
        latex.append("                \\hline")
        return "\n".join(latex)
    
    def _getTableStartLatex(self, nColumns, big, presentation):
        latex = []
        if presentation:
            latex.append("\\begin{frame}")
            latex.append("\\frametitle{\insertsubsection}")
            latex.append("\\vspace*{-0.2cm}")
            
        latex.append("\\begin{table}")
        latex.append("    \\tiny \\centering")
        sizeFactor = ""
        if big:
            if presentation:
                sizeFactor = "1.1"
                cmOff = "-0.5"
            else:
                sizeFactor = "1.5"
                cmOff = "-3"
            latex.append("    \\begin{adjustwidth}{%scm}{%scm}" % (cmOff, cmOff))
            
        latex.append("        \\begin{tabularx}{%s\\textwidth}{| c | c || %s |}" % (sizeFactor, " | ".join(["K"] * nColumns)))
        latex.append("        \\hline")
        
        return "\n".join(latex)
    
    def _getTableEndLatex(self, caption, label, big, presentation):
        latex = ["        \\end{tabularx}"]
        if big:
            latex.append("    \\end{adjustwidth}")
        if caption is not None and label is not None:
            latex.append("    \\caption{\\label{%s} %s}" % (label, caption))
        latex.append("\\end{table}")
        if presentation:
            latex.append("\\end{frame}")
        return "\n".join(latex)
    
    def _getUnaryMetricLatex(self, data, functionNames):
        nm = self.analyzer.metrics.nUnaryMetrics
        nr = self.analyzer.nResults - 1
        nf = len(functionNames)
        nc = 2 + 4*nr

        latex = ["\\begin{sidewaystable}"]
        latex.append("    \\tiny \\centering")
        latex.append("    \\begin{tabularx}{\\textwidth}{| l | l |%s} \\hline" % (" K |" * 4*nr))
        
        header = "        \\multirow{2}{*}{Problema} & \\multirow{2}{*}{Indicador}"
        for resultName in self.analyzer.resultNames:
            if resultName != Analyzer.__PARETO__:
                header += " & \\multicolumn{4}{c|}{%s}" % Utils.getResultNameLatex(resultName)
        latex.append(header + " \\\\ \\cline{3-%d}" % (nc))
        latex.append((" & %s\\\\" % ("& \\mu & \\sigma & min & max " * nr)))
        
#.........这里部分代码省略.........