def __init__(self, param, prev_context_id=None, next_context_id=None):
"""A class used to hold parameters and perform parameters validation.
Args:
param: An EncryptionParams object with polynomial modulus, coefficient modulus and
plain modulus set.
prev_context_id: Id of the previous ContextData object in context chain.
next_context_id: Id of the next ContextData object in context chain.
Attributes:
prev_context_id: Id of the previous ContextData object in context chain.
next_context_id: Id of the next ContextData object in context chain.
coeff_div_plain_modulus: A list of float values equal to (q[i]/t),
In research papers denoted by delta.
rns_tool: A RNSTool class instance.
"""
self.validate(param)
self.param = param
self.prev_context_id = prev_context_id
self.next_context_id = next_context_id
# A list containing values of coeff_mod[i] / plain_mod for one time computation
# and useful in encryption process.
self.coeff_div_plain_modulus = [x / param.plain_modulus for x in param.coeff_modulus]
self.rns_tool = RNSTool(param)
def __init__(self, params):
# Validation of params provided for the encryption scheme.
self.validate(params)
self.param = params
self.rns_tool = RNSTool(params)
def __init__(self, encryption_param):
self.param = encryption_param
self.coeff_div_plain_modulus = [
x / encryption_param.plain_modulus
for x in encryption_param.coeff_modulus
]
self.rns_tool = RNSTool(encryption_param)
def __init__(self, encryption_param):
self.param = encryption_param
# A list containing values of coeff_mod[i] / plain_mod for one time computation
# and useful in encryption process.
self.coeff_div_plain_modulus = [
x / encryption_param.plain_modulus for x in encryption_param.coeff_modulus
]
self.rns_tool = RNSTool(encryption_param)
def test_rns_tool_fastbconv_sk(poly_len, coeff_mod, plain_mod, input, output):
enc_param = EncryptionParams(poly_len, coeff_mod, plain_mod)
rns_tool = RNSTool(enc_param)
result = rns_tool.fastbconv_sk(input)
assert result == output