331 lines
13 KiB
Python
331 lines
13 KiB
Python
"""
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ported from https://github.com/privy-io/shamir-secret-sharing/blob/main/src/index.ts
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i barely dealt with actual hands-on cryptography like this,
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neither do i understand the math behind it so this is
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probably not the best implementation, but it works quite
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well for my private services
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"""
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import numpy as np
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import secrets
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import ctypes
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import asyncio
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import platform
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__name__= "Shamir´s Secret Sharing by serpent192 / Privy Services (port)"
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if platform.system() == "Windows":
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libc = ctypes.CDLL("msvcrt.dll")
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else:
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libc = ctypes.CDLL(None)
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malloc= libc.malloc
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malloc.restype= ctypes.c_void_p
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malloc.argtypes= [ctypes.c_size_t]
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_loop = None
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def as_run(coro):
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global _loop
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if _loop is None:
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_loop= asyncio.new_event_loop()
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asyncio.set_event_loop(_loop)
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return _loop.run_until_complete(coro)
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class SharmirsShares:
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def __init__(self):
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self.ExpIndex: list= [
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0x01, 0xe5, 0x4c, 0xb5, 0xfb, 0x9f, 0xfc, 0x12, 0x03, 0x34, 0xd4, 0xc4, 0x16, 0xba, 0x1f, 0x36,
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0x05, 0x5c, 0x67, 0x57, 0x3a, 0xd5, 0x21, 0x5a, 0x0f, 0xe4, 0xa9, 0xf9, 0x4e, 0x64, 0x63, 0xee,
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0x11, 0x37, 0xe0, 0x10, 0xd2, 0xac, 0xa5, 0x29, 0x33, 0x59, 0x3b, 0x30, 0x6d, 0xef, 0xf4, 0x7b,
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0x55, 0xeb, 0x4d, 0x50, 0xb7, 0x2a, 0x07, 0x8d, 0xff, 0x26, 0xd7, 0xf0, 0xc2, 0x7e, 0x09, 0x8c,
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0x1a, 0x6a, 0x62, 0x0b, 0x5d, 0x82, 0x1b, 0x8f, 0x2e, 0xbe, 0xa6, 0x1d, 0xe7, 0x9d, 0x2d, 0x8a,
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0x72, 0xd9, 0xf1, 0x27, 0x32, 0xbc, 0x77, 0x85, 0x96, 0x70, 0x08, 0x69, 0x56, 0xdf, 0x99, 0x94,
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0xa1, 0x90, 0x18, 0xbb, 0xfa, 0x7a, 0xb0, 0xa7, 0xf8, 0xab, 0x28, 0xd6, 0x15, 0x8e, 0xcb, 0xf2,
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0x13, 0xe6, 0x78, 0x61, 0x3f, 0x89, 0x46, 0x0d, 0x35, 0x31, 0x88, 0xa3, 0x41, 0x80, 0xca, 0x17,
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0x5f, 0x53, 0x83, 0xfe, 0xc3, 0x9b, 0x45, 0x39, 0xe1, 0xf5, 0x9e, 0x19, 0x5e, 0xb6, 0xcf, 0x4b,
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0x38, 0x04, 0xb9, 0x2b, 0xe2, 0xc1, 0x4a, 0xdd, 0x48, 0x0c, 0xd0, 0x7d, 0x3d, 0x58, 0xde, 0x7c,
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0xd8, 0x14, 0x6b, 0x87, 0x47, 0xe8, 0x79, 0x84, 0x73, 0x3c, 0xbd, 0x92, 0xc9, 0x23, 0x8b, 0x97,
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0x95, 0x44, 0xdc, 0xad, 0x40, 0x65, 0x86, 0xa2, 0xa4, 0xcc, 0x7f, 0xec, 0xc0, 0xaf, 0x91, 0xfd,
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0xf7, 0x4f, 0x81, 0x2f, 0x5b, 0xea, 0xa8, 0x1c, 0x02, 0xd1, 0x98, 0x71, 0xed, 0x25, 0xe3, 0x24,
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0x06, 0x68, 0xb3, 0x93, 0x2c, 0x6f, 0x3e, 0x6c, 0x0a, 0xb8, 0xce, 0xae, 0x74, 0xb1, 0x42, 0xb4,
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0x1e, 0xd3, 0x49, 0xe9, 0x9c, 0xc8, 0xc6, 0xc7, 0x22, 0x6e, 0xdb, 0x20, 0xbf, 0x43, 0x51, 0x52,
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0x66, 0xb2, 0x76, 0x60, 0xda, 0xc5, 0xf3, 0xf6, 0xaa, 0xcd, 0x9a, 0xa0, 0x75, 0x54, 0x0e, 0x01,
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]
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self.LogIndex: list= [
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0x00, 0xff, 0xc8, 0x08, 0x91, 0x10, 0xd0, 0x36, 0x5a, 0x3e, 0xd8, 0x43, 0x99, 0x77, 0xfe, 0x18,
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0x23, 0x20, 0x07, 0x70, 0xa1, 0x6c, 0x0c, 0x7f, 0x62, 0x8b, 0x40, 0x46, 0xc7, 0x4b, 0xe0, 0x0e,
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0xeb, 0x16, 0xe8, 0xad, 0xcf, 0xcd, 0x39, 0x53, 0x6a, 0x27, 0x35, 0x93, 0xd4, 0x4e, 0x48, 0xc3,
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0x2b, 0x79, 0x54, 0x28, 0x09, 0x78, 0x0f, 0x21, 0x90, 0x87, 0x14, 0x2a, 0xa9, 0x9c, 0xd6, 0x74,
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0xb4, 0x7c, 0xde, 0xed, 0xb1, 0x86, 0x76, 0xa4, 0x98, 0xe2, 0x96, 0x8f, 0x02, 0x32, 0x1c, 0xc1,
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0x33, 0xee, 0xef, 0x81, 0xfd, 0x30, 0x5c, 0x13, 0x9d, 0x29, 0x17, 0xc4, 0x11, 0x44, 0x8c, 0x80,
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0xf3, 0x73, 0x42, 0x1e, 0x1d, 0xb5, 0xf0, 0x12, 0xd1, 0x5b, 0x41, 0xa2, 0xd7, 0x2c, 0xe9, 0xd5,
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0x59, 0xcb, 0x50, 0xa8, 0xdc, 0xfc, 0xf2, 0x56, 0x72, 0xa6, 0x65, 0x2f, 0x9f, 0x9b, 0x3d, 0xba,
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0x7d, 0xc2, 0x45, 0x82, 0xa7, 0x57, 0xb6, 0xa3, 0x7a, 0x75, 0x4f, 0xae, 0x3f, 0x37, 0x6d, 0x47,
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0x61, 0xbe, 0xab, 0xd3, 0x5f, 0xb0, 0x58, 0xaf, 0xca, 0x5e, 0xfa, 0x85, 0xe4, 0x4d, 0x8a, 0x05,
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0xfb, 0x60, 0xb7, 0x7b, 0xb8, 0x26, 0x4a, 0x67, 0xc6, 0x1a, 0xf8, 0x69, 0x25, 0xb3, 0xdb, 0xbd,
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0x66, 0xdd, 0xf1, 0xd2, 0xdf, 0x03, 0x8d, 0x34, 0xd9, 0x92, 0x0d, 0x63, 0x55, 0xaa, 0x49, 0xec,
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0xbc, 0x95, 0x3c, 0x84, 0x0b, 0xf5, 0xe6, 0xe7, 0xe5, 0xac, 0x7e, 0x6e, 0xb9, 0xf9, 0xda, 0x8e,
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0x9a, 0xc9, 0x24, 0xe1, 0x0a, 0x15, 0x6b, 0x3a, 0xa0, 0x51, 0xf4, 0xea, 0xb2, 0x97, 0x9e, 0x5d,
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0x22, 0x88, 0x94, 0xce, 0x19, 0x01, 0x71, 0x4c, 0xa5, 0xe3, 0xc5, 0x31, 0xbb, 0xcc, 0x1f, 0x2d,
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0x3b, 0x52, 0x6f, 0xf6, 0x2e, 0x89, 0xf7, 0xc0, 0x68, 0x1b, 0x64, 0x04, 0x06, 0xbf, 0x83, 0x38,
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]
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def add(self, a: int, b: int) -> int:
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if not isinstance(a, int) or a < 0 or a > 255:
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raise ValueError("number a out of uint8 range")
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if not isinstance(b, int) or b < 0 or b > 255:
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raise ValueError("number b out of uint8 range")
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return a ^ b
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def multiply(self, a: int, b:int) -> int:
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if not isinstance(a, int) or a < 0 or a > 255:
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raise ValueError("number a out of uint8 range")
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if not isinstance(b, int) or b < 0 or b > 255:
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raise ValueError("number b out of uint8 range")
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loga: int = self.LogIndex[a]
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logb: int = self.LogIndex[b]
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if loga is None or logb is None:
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raise ValueError("log table value {a} or {b} is missing".format(a=loga, b=logb))
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sum_x: int= (loga + logb) % 255
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res: int= self.ExpIndex[sum_x]
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if res is None:
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raise ValueError("exponential table value {res} is missing".format(res))
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if a == 0 or b == 0:
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return 0
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return res
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def div(self, a: int, b:int) -> int:
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if not isinstance(a, int) or a < 0 or a > 255:
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raise ValueError("number a out of uint8 range")
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if not isinstance(b, int) or b < 0 or b > 255:
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raise ValueError("number b out of uint8 range")
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loga: int = self.LogIndex[a]
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logb: int = self.LogIndex[b]
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if loga is None or logb is None:
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raise ValueError("log table value {a} or {b} is missing".format(a=loga, b=logb))
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difference: float= (loga - logb + 255) % 255
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res: int= self.ExpIndex[difference]
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if res is None:
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raise ValueError("exponential table value {res} is missing".format(res))
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if a == 0:
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return 0
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if b == 0:
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raise ValueError("cannot divide by zero")
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return res
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def interp_polynomial(self, xsamp: np.ndarray, ysamp: np.ndarray, x: int) -> int:
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if len(xsamp) != len(ysamp):
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raise ValueError("sample length mismatch")
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lim: int= len(xsamp)
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base: int= 0
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res: int= 0
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for i in range(lim):
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base= 1
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for j in range(lim):
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if i == j:
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continue
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num: int= self.add(int(x), int(xsamp[j]))
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denom: int= self.add(int(xsamp[i]), int(xsamp[j]))
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term: int= self.div(num, denom)
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base= self.multiply(base, term)
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res: int= self.add(res, self.multiply(int(ysamp[i]), int(base)))
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return res
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def evaluate(self, coefficients: np.ndarray, x: int, degree: int) -> int:
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if x == 0:
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raise ValueError("cannot evaluate polynominal with zero")
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res: int= int(coefficients[degree])
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for i in range(degree - 1, -1, -1):
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coefficient: int= int(coefficients[i])
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res: int= self.add(self.multiply(res, int(x)), coefficient)
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return res
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def newCoeff(self, interception: int, degree: int) -> np.ndarray:
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coefficients: np.ndarray= np.zeros(degree + 1, dtype=np.uint8)
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coefficients[0]= interception
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randomBytes:int= np.frombuffer(secrets.token_bytes(degree), dtype=np.uint8)
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coefficients[1:]= randomBytes
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return coefficients
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def newCoords(self) -> np.ndarray:
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coords: np.ndarray= np.zeros(255, dtype=np.uint8)
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for i in range(255):
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coords[i]= i + 1
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rindices: bytes= secrets.token_bytes(255)
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for i in range(255):
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j: int= rindices[i] % 255
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temp: int= coords[i]
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coords[i]= coords[j]
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coords[j]= temp
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coords.flags.writeable= False
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return coords
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async def combine_Shares(self, shares: np.ndarray) -> str:
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if len(shares) == 0:
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raise ValueError("No shares provided")
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share1= shares[0]
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print(share1)
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if not isinstance(share1, (bytes, np.ndarray)):
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raise TypeError("Each share must be bytes or np.ndarray")
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share1_len = len(share1)
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if share1_len < 2:
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raise ValueError("Each share must be at least 2 bytes")
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for share in shares:
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if not isinstance(share, (bytes, np.ndarray)):
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raise TypeError("Each share must be a bytes or np.ndarray")
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if len(share) < 2:
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raise ValueError("Each share must be at least 2 bytes")
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if len(share) != share1_len:
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raise ValueError("All shares must have the same byte length")
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shares_len: int= len(shares)
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#share1_bytelen: int= len(share1) # share1.encode("utf-8")
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share1_bytelen: int= share1.size
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secret_len: int= share1_bytelen - 1
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secret: np.ndarray= np.zeros(secret_len, dtype=np.uint8)
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xsamps: np.ndarray= np.zeros(shares_len, dtype=np.uint8)
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ysamps: np.ndarray= np.zeros(shares_len, dtype=np.uint8)
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samples: set= set()
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for i in range(shares_len):
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share: str= shares[i]
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sample: str= share[share1_bytelen - 1]
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if sample in samples:
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raise ValueError("shares must contain unique values but a duplicate was found")
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samples.add(sample)
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xsamps[i]= sample
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#xsamps[i] = shares[i][-1]
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for i in range(secret_len):
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for j in range(shares_len):
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ysamps[j]= shares[j][i]
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secret[i]= self.interp_polynomial(xsamps, ysamps, 0)
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return secret
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#return bytes(secret).decode('utf-8')
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async def split_iShares(self, secret: np.ndarray, shares: int, threshold: int) -> np.ndarray:
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if len(secret.encode("utf-8")) <= 1:
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raise ValueError("secret cannot be empty")
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elif shares > 255 or shares < 2:
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raise ValueError("shares must be at least 2 and at most 255")
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elif threshold > 255 or threshold < 2:
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raise ValueError("threshold must be at least 2 and at most 255")
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elif shares < threshold:
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raise ValueError("shares cannot be smaller than threshold")
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secret_bytes: int= secret.encode("utf-8")
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secret_length: int= len(secret_bytes)
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result: np.ndarray = np.zeros((shares, secret_length + 1), dtype=np.uint8)
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xcoords: np.ndarray= self.newCoords()
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for i in range(shares):
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result[i, :] = np.zeros(secret_length + 1, dtype=np.uint8)
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result[i, -1] = xcoords[i]
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degree: int= threshold - 1
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for i in range(secret_length):
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byte: int= secret_bytes[i]
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coefficients: np.ndarray= self.newCoeff(byte, degree)
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for j in range(shares):
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x: int= xcoords[j]
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y: int= self.evaluate(coefficients, x, degree)
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result[j][i]= y
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return result
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@staticmethod
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def c_string(py_str: str):
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data= py_str.encode("utf-8") + b"\x00"
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buf= malloc(len(data))
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ctypes.memmove(buf, data, len(data))
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return ctypes.c_char_p(buf)
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@staticmethod
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@ctypes.CFUNCTYPE(ctypes.c_char_p, ctypes.POINTER(ctypes.c_char_p), ctypes.c_int)
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def combine_wrapper(c_array, length):
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shares= [c_array[i].decode("utf-8") for i in range(length)]
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arr= np.array(shares, dtype=object)
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result= as_run(SharmirsShares.combine_Shares(arr))
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return SharmirsShares.c_string(result)
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@staticmethod
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@ctypes.CFUNCTYPE(ctypes.c_char_p, ctypes.POINTER(ctypes.c_char_p), ctypes.c_int, ctypes.c_int, ctypes.c_int)
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def split_wrapper(c_array, length, shares_num, threshold):
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secret= [c_array[i].decode("utf-8") for i in range(length)]
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arr= np.array(secret, dtype=object)
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result= as_run(SharmirsShares.split_iShares(arr, shares_num, threshold))
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joined= "|".join(result.tolist())
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return SharmirsShares.c_string(joined)
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exports = {
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"combine_wrapper": SharmirsShares.combine_wrapper,
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"split_wrapper": SharmirsShares.split_wrapper
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}
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"""
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split_shares= asyncio.run(SharmirsShares().split_iShares("test", 3, 3))
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print('Split shares: \'{}\''.format(split_shares))
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shares = np.array([
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[159, 88, 241, 80, 66],
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[48, 36, 234, 104, 47],
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[148, 88, 129, 27, 121]
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])
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combined_shares= asyncio.run(SharmirsShares().combine_Shares(shares))
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print('Combined shares: \'{}\''.format(bytes(combined_shares).decode('utf-8')))
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""" |