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singles, multiples, zeroes = ([] for i in range(3))
dlength = df.shape[0]

for row in df.itertuples():
    query = best_q(row)
    hits, uri = ask_rkd(query)
    if hits == 1:
        singles.append([row.priref, row.name, hits, uri])
    elif hits > 1:
        multiples.append([row.priref, row.name, hits])
    elif hits == 0:
        query = bracket_q(row)
        hits, uri = ask_rkd(query)
        if hits == 1: 
            singles.append([row.priref, row.name, hits, uri])
        elif hits > 1:
            multiples.append([row.priref, row.name, hits])
        elif hits == 0:
            zeroes.append([row.priref, str(row.name)])  # PM: str!! 
        

lists = singles, multiples, zeroes
listnames = ['singles','multiples','zeroes']

for s, l in zip(listnames, lists): 
    listfile = '{}_{}.csv'.format(input_fname, s)
    writelist(list=l, fname=listfile) 
    
outfile = fname + '_out' + ext
df.to_csv(outfile, sep='|', encoding='utf-8-sig')

singles, multiples, zeroes = ([] for i in range(3))

for row in df.itertuples():
    query = best_q(row)
    hits, uri = ask_rkd(query)
    if hits == 1:
        singles.append([row.priref, row.name, hits, uri])
    elif hits > 1:
        multiples.append([row.priref, row.name, hits])
    elif hits == 0:
        query = bracket_q(row)
        hits, uri = ask_rkd(query)
        if hits == 1: 
            singles.append([row.priref, row.name, hits, uri])
        elif hits > 1:
            multiples.append([row.priref, row.name, hits])
        elif hits == 0:
            zeroes.append([row.priref, str(row.name)])  # PM: str!! 
        

lists = singles, multiples, zeroes
listnames = ['singles','multiples','zeroes']

for s, l in zip(listnames, lists): 
    listfile = '{}_{}.csv'.format(input_fname, s)
    writelist(list=l, fname=listfile) 
    
outfile = fname + '_out' + ext
df.to_csv(outfile, sep='|', encoding='utf-8-sig')

singles, multiples, zeroes = ([] for i in range(3))
    
for row in df.itertuples():
    query = best_q(row)
    hits, uri = ask_rkd(query)
    if hits == 1:
        singles.append([row.priref, row.name, hits, uri])
    elif hits > 1:
        multiples.append([row.priref, row.name, hits])
    elif hits == 0:
        query = bracket_q(row)
        hits, uri = ask_rkd(query)
        if hits == 1: 
            singles.append([row.priref, row.name, hits, uri])
        elif hits > 1:
            multiples.append([row.priref, row.name, hits])
        elif hits == 0:
            zeroes.append([row.priref, str(row.name)])  # PM: str!! 
        

lists = singles, multiples, zeroes
listnames = ['singles','multiples','zeroes']

for s, l in zip(listnames, lists): 
    listfile = '{}_{}.csv'.format(input_fname, s)
    writelist(list=l, fname=listfile) 
    
outfile = fname + '_out' + ext
df.to_csv(outfile, sep='|', encoding='utf-8-sig')

singles, multiples, zeroes = ([] for i in range(3))
dlength = df.shape[0]

for row in df.itertuples():
    query = best_q(row)
    hits, uri = ask_rkd(query)
    if hits == 1:
        singles.append([row.priref, row.name, hits, uri])
    elif hits > 1:
        multiples.append([row.priref, row.name, hits])
    elif hits == 0:
        query = bracket_q(row)
        hits, uri = ask_rkd(query)
        if hits == 1: 
            singles.append([row.priref, row.name, hits, uri])
        elif hits > 1:
            multiples.append([row.priref, row.name, hits])
        elif hits == 0:
            zeroes.append([row.priref, str(row.name)])  # PM: str!! 
        

lists = singles, multiples, zeroes
listnames = ['singles','multiples','zeroes']

for s, l in zip(listnames, lists): 
    listfile = '{}_{}.csv'.format(input_fname, s)
    writelist(list=l, fname=listfile) 
    
outfile = fname + '_out' + ext
df.to_csv(outfile, sep='|', encoding='utf-8-sig')