File size: 1,438 Bytes
2c3c408 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | import numpy as np
import tiledb
import tiledb.cc as lt
class PackedBuffer:
def __init__(self, data, tdbtype, value_num):
self.data = data
self.tdbtype = tdbtype
self.value_num = value_num
def pack_metadata_val(value) -> PackedBuffer:
if isinstance(value, bytes):
return PackedBuffer(value, lt.DataType.BLOB, len(value))
if isinstance(value, str):
value = value.encode("UTF-8")
return PackedBuffer(value, lt.DataType.STRING_UTF8, len(value))
if not isinstance(value, (list, tuple)):
value = (value,)
if not value:
# special case for empty values
return PackedBuffer(b"", lt.DataType.INT32, 0)
val0 = value[0]
if not isinstance(val0, (int, float)):
raise TypeError(f"Unsupported item type '{type(val0)}'")
tiledb_type = lt.DataType.INT64 if isinstance(val0, int) else lt.DataType.FLOAT64
python_type = int if isinstance(val0, int) else float
numpy_dtype = np.int64 if isinstance(val0, int) else np.float64
data_view = memoryview(
bytearray(len(value) * tiledb.main.datatype_size(tiledb_type))
)
for i, val in enumerate(value):
if not isinstance(val, python_type):
raise TypeError(f"Mixed-type sequences are not supported: {value}")
data_view[i * 8 : (i + 1) * 8] = numpy_dtype(val).tobytes()
return PackedBuffer(bytes(data_view), tiledb_type, len(value))
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