cell.hash hangs forever on this code cell

The code from address EQCLyZHP4Xe8fpchQz76O-_RmUhaVc_9BAoGyJrwJrcbz2eZ makes the code-cell hasher hang forever.

import base64
from tvm_valuetypes.cell import deserialize_boc

code = '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'

code_cell = deserialize_boc(base64.b64decode(code))

hsh = code_cell.hash()
toncenter / tvm_valuetypes

cell.hash hangs forever on this code cell #16
