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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 from_gff3(path, attributes=None, region=None, score_fill=-1, phase_fill=-1, attributes_fill='.', dtype=None):
 """Read a feature table from a GFF3 format file. Parameters path : string File path. attributes : list of strings, optional List of columns to extract from the "attributes" field. region : string, optional Genome region to extract. If given, file must be position sorted, bgzipped and tabix indexed. Tabix must also be installed and on the system path. score_fill : int, optional Value to use where score field has a missing value. phase_fill : int, optional Value to use where phase field has a missing value. attributes_fill : object or list of objects, optional Value(s) to use where attribute field(s) have a missing value. dtype : numpy dtype, optional Manually specify a dtype. Returns ------- ft : FeatureTable """


        a = gff3_to_recarray(path, attributes=attributes, region=region,
                             score_fill=score_fill, phase_fill=phase_fill,
                             attributes_fill=attributes_fill, dtype=dtype)
        if a is None:
            return None
        else:
            return FeatureTable(a, copy=False)