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()
