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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def parse_star_fusion(infile):
 """ Parses STAR-Fusion format and returns an Expando object with basic features :param str infile: path to STAR-Fusion prediction file :return: Fusion prediction attributes :rtype: bd2k.util.expando.Expando """

    reader = csv.reader(infile, delimiter='\t')
    header = reader.next()
    header = {key: index for index, key in enumerate(header)}

    features = ['LeftGene', 'LeftLocalBreakpoint', 'LeftBreakpoint',
                'RightGene', 'RightLocalBreakpoint', 'RightBreakpoint',
                'LargeAnchorSupport', 'JunctionReadCount', 'SpanningFragCount']

    for line in reader:
        yield Expando(dict((feature, line[header[feature]]) for feature in features))