def FourierMatch(obj1, obj2, format='PyList'): """abstraction function of the underlying matching algorithm and format objects""" " obj1, obj2, are two items formatted according to format" " format = all supported formats from formats.getFormatStrings()" " output = FourierMatch object" ##todo implement a function to auto determine format of obj1 and obj2 #get list of supported formats and add auto to them. SFormats = formats.getFormatStrings() SFormats.append('auto') #make sure we got a good format string try: formatIndex = SFormats.index(format) except ValueError: raise formats.FormatError(formats.UnsupportedFormat, "format %s is undefined" % format) # make format object out of the input if (format != 'auto'): fClassList = formats.getFormats() FObj1 = fClassList[formatIndex](obj1) FObj2 = fClassList[formatIndex](obj2) else: raise ValueError("not implemented") FourierMatched = pysmac.match.FourierCompare(FObj1, FObj2) return FourierMatched
def __init__(self, f, f2, compare): """ Construct/Validate matcher object f - A file name containing point data f2 - Another file name containing point data compare - @class{BaseCompare} which implements compares the two files """ # The format objects associated with the matcher self.format = None self.format2 = None # Extract the format information formatList = getFormats() for fM in formatList: if fM.isFormat(f): self.format = fM(f) if fM.isFormat(f2): self.format2 = fM(f2) if self.format is None: raise FormatError(self, "Matcher.__init__ unknown format in file %s" % (str(f))) if self.format2 is None: raise FormatError(self, "Matcher.__init__ unknown format in file %s" % (str(f2))) # Check the compare if not callable(compare): raise CompareError(self, "Matcher.__init__ object type is not callable" % (str(compare))) if not issubclass(compare, BaseCompare): raise CompareError(self, "Matcher.__init__ unknown compare type %s" % (str(compare))) # Create the compare object self.compare = compare(self.format, self.format2) # Get the match self.match = self.compare.getMeanMatch()
def FourierMatch(obj1,obj2,format='PyList'): """abstraction function of the underlying matching algorithm and format objects""" " obj1, obj2, are two items formatted according to format" " format = all supported formats from formats.getFormatStrings()" " output = FourierMatch object" ##todo implement a function to auto determine format of obj1 and obj2 #get list of supported formats and add auto to them. SFormats = formats.getFormatStrings() SFormats.append('auto') #make sure we got a good format string try: formatIndex = SFormats.index(format) except ValueError: raise formats.FormatError(formats.UnsupportedFormat, "format %s is undefined" % format) # make format object out of the input if (format != 'auto'): fClassList = formats.getFormats() FObj1 = fClassList[formatIndex](obj1) FObj2 = fClassList[formatIndex](obj2) else : raise ValueError("not implemented") FourierMatched = pysmac.match.FourierCompare(FObj1,FObj2); return FourierMatched
def __init__(self, f, f2, compare): """ Construct/Validate matcher object f - A file name containing point data f2 - Another file name containing point data compare - @class{BaseCompare} which implements compares the two files """ # The format objects associated with the matcher self.format = None self.format2 = None # Extract the format information formatList = getFormats() for fM in formatList: if fM.isFormat(f): self.format = fM(f) if fM.isFormat(f2): self.format2 = fM(f2) if self.format is None: raise FormatError( self, "Matcher.__init__ unknown format in file %s" % (str(f))) if self.format2 is None: raise FormatError( self, "Matcher.__init__ unknown format in file %s" % (str(f2))) # Check the compare if not callable(compare): raise CompareError( self, "Matcher.__init__ object type is not callable" % (str(compare))) if not issubclass(compare, BaseCompare): raise CompareError( self, "Matcher.__init__ unknown compare type %s" % (str(compare))) # Create the compare object self.compare = compare(self.format, self.format2) # Get the match self.match = self.compare.getMeanMatch()