human
Complete this python program:
def _check_corr(pro, nucl, gap_char='-', codon_table=default_codon_table, complete_protein=False, anchor_len=10):
assistant
#Here is the Python program you requested.

    """Check if the nucleotide can be translated into the protein.
    Expects two SeqRecord objects.
    """
    import re
    from Bio.Alphabet import NucleotideAlphabet
    if ((not isinstance(pro, SeqRecord)) or (not isinstance(nucl, SeqRecord))):
        raise TypeError('_check_corr    accepts    two    SeqRecord    object.    Please    check    your    input.')
    def get_alpha(alpha):
        if hasattr(alpha, 'alphabet'):
            return get_alpha(alpha.alphabet)
        else:
            return alpha
    if (not isinstance(_get_base_alphabet(get_alpha(nucl.seq.alphabet)), NucleotideAlphabet)):
        raise TypeError('Alphabet    for    nucl    should    be    an    instance    of    NucleotideAlphabet,    {0}    detected'.format(str(nucl.seq.alphabet)))
    aa2re = _get_aa_regex(codon_table)
    pro_re = ''
    for aa in pro.seq:
        if (aa != gap_char):
            pro_re += aa2re[aa]
    nucl_seq = str(nucl.seq.upper().ungap(gap_char))
    match = re.search(pro_re, nucl_seq)
    if match:
        return (match.span(), 0)
    else:
        pro_seq = str(pro.seq).replace(gap_char, '')
        anchors = [pro_seq[i:(i + anchor_len)] for i in range(0, len(pro_seq), anchor_len)]
        if (len(anchors[(-1)]) < anchor_len):
            anchors[(-1)] = (anchors[(-2)] + anchors[(-1)])
        pro_re = []
        anchor_distance = 0
        anchor_pos = []
        for (i, anchor) in enumerate(anchors):
            this_anchor_len = len(anchor)
            qcodon = ''
            fncodon = ''
            if (this_anchor_len == anchor_len):
                for aa in anchor:
                    if (complete_protein and (i == 0)):
                        qcodon += _codons2re(codon_table.start_codons)
                        fncodon += aa2re['X']
                        continue
                    qcodon += aa2re[aa]
                    fncodon += aa2re['X']
                match = re.search(qcodon, nucl_seq)
            elif (this_anchor_len > anchor_len):
                last_qcodon = ''
                last_fcodon = ''
                for j in range(anchor_len, len(anchor)):
                    last_qcodon...