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from .. import static_tuple
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def _parse_leaf_lines(bytes, key_length, ref_list_length):
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lines = bytes.split('\n')
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def _parse_leaf_lines(data, key_length, ref_list_length):
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lines = data.split(b'\n')
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as_st = static_tuple.StaticTuple.from_sequence
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stuple = static_tuple.StaticTuple
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for line in lines[1:]:
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elements = line.split('\0', key_length)
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elements = line.split(b'\0', key_length)
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key = as_st(elements[:key_length]).intern()
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line = elements[-1]
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references, value = line.rsplit('\0', 1)
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references, value = line.rsplit(b'\0', 1)
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if ref_list_length:
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for ref_string in references.split('\t'):
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ref_list = as_st([as_st(ref.split('\0')).intern()
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for ref in ref_string.split('\r') if ref])
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for ref_string in references.split(b'\t'):
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ref_list = as_st([as_st(ref.split(b'\0')).intern()
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for ref in ref_string.split(b'\r') if ref])
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ref_lists.append(ref_list)
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ref_lists = as_st(ref_lists)
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node_value = stuple(value, ref_lists)
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# TODO: Consider turning this back into the 'unoptimized' nested loop
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# form. It is probably more obvious for most people, and this is
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# just a reference implementation.
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flattened_references = ['\r'.join(['\x00'.join(reference)
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for reference in ref_list])
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flattened_references = [b'\r'.join([b'\x00'.join(reference)
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for reference in ref_list])
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for ref_list in node[3]]
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flattened_references = []
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string_key = '\x00'.join(node[1])
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line = ("%s\x00%s\x00%s\n" % (string_key,
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'\t'.join(flattened_references), node[2]))
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string_key = b'\x00'.join(node[1])
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line = (b"%s\x00%s\x00%s\n" % (string_key,
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b'\t'.join(flattened_references), node[2]))
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return string_key, line