/ python-oneliners / SHA-512 / sha512_lambda.py
sha512_lambda.py
 1  sha512 = lambda data: [
 2      ([
 3           [
 4               [
 5                   [
 6                       ([
 7                           w.append((gamma1(w[-2]) + w[-7] + gamma0(w[-15]) + w[-16]) & 0xffffffffffffffff)
 8                           for _ in range(64)
 9                       ] and False) or [
10                           ([
11                               [
12                                   [
13                                       [
14                                           g.__setitem__(j, values[j])
15                                           for j in range(8)
16                                       ]
17                                       for values in [[
18                                           (t1 + t2) & 0xffffffffffffffff,
19                                           g[0],
20                                           g[1],
21                                           g[2],
22                                           (g[3] + t1) & 0xffffffffffffffff,
23                                           g[4],
24                                           g[5],
25                                           g[6]
26                                       ]]
27                                   ]
28                                   for t1, t2 in [(
29                                       (g[7] + sigma1(g[4]) + ch(g[4], g[5], g[6]) + K[i] + w[i]) & 0xffffffffffffffff,
30                                       (sigma0(g[0]) + maj(g[0], g[1], g[2])) & 0xffffffffffffffff
31                                   )]
32                               ]
33                               for i in range(80)
34                           ] and False) or [
35                               H.__setitem__(i, (H[i] + g[i]) & 0xffffffffffffffff)
36                               for i in range(8)
37                           ]
38                           for g in [H.copy()]
39                       ]
40                       for w in [[int.from_bytes(msg[i_ * 128:(i_ + 1) * 128][i * 8:(i + 1) * 8], 'big') for i in range(16)]]
41                   ]
42                   for i_ in range(len(msg) // 128)
43               ]
44               for sigma0, sigma1, gamma0, gamma1 in [(
45                   lambda x: rot_r(x, 28) ^ rot_r(x, 34) ^ rot_r(x, 39),
46                   lambda x: rot_r(x, 14) ^ rot_r(x, 18) ^ rot_r(x, 41),
47                   lambda x: rot_r(x, 1) ^ rot_r(x, 8) ^ (x >> 7),
48                   lambda x: rot_r(x, 19) ^ rot_r(x, 61) ^ (x >> 6)
49               )]
50           ]
51       ] and False) or b''.join([x.to_bytes(8, 'big') for x in H])
52      for msg, rot_r, ch, maj, K, H in [(
53          data + b'\x80' + b'\x00' * ((112 - (len(data) + 1) % 128) % 128) + (len(data) * 8).to_bytes(16, 'big'),
54          lambda a, n: ((a >> n) | (a << (64 - n))) & 0xffffffffffffffff,
55          lambda x, y, z: z ^ (x & (y ^ z)),
56          lambda x, y, z: (x & y) ^ (x & z) ^ (y & z),
57          [
58              0x428a2f98d728ae22, 0x7137449123ef65cd, 0xb5c0fbcfec4d3b2f, 0xe9b5dba58189dbbc,
59              0x3956c25bf348b538, 0x59f111f1b605d019, 0x923f82a4af194f9b, 0xab1c5ed5da6d8118,
60              0xd807aa98a3030242, 0x12835b0145706fbe, 0x243185be4ee4b28c, 0x550c7dc3d5ffb4e2,
61              0x72be5d74f27b896f, 0x80deb1fe3b1696b1, 0x9bdc06a725c71235, 0xc19bf174cf692694,
62              0xe49b69c19ef14ad2, 0xefbe4786384f25e3, 0x0fc19dc68b8cd5b5, 0x240ca1cc77ac9c65,
63              0x2de92c6f592b0275, 0x4a7484aa6ea6e483, 0x5cb0a9dcbd41fbd4, 0x76f988da831153b5,
64              0x983e5152ee66dfab, 0xa831c66d2db43210, 0xb00327c898fb213f, 0xbf597fc7beef0ee4,
65              0xc6e00bf33da88fc2, 0xd5a79147930aa725, 0x06ca6351e003826f, 0x142929670a0e6e70,
66              0x27b70a8546d22ffc, 0x2e1b21385c26c926, 0x4d2c6dfc5ac42aed, 0x53380d139d95b3df,
67              0x650a73548baf63de, 0x766a0abb3c77b2a8, 0x81c2c92e47edaee6, 0x92722c851482353b,
68              0xa2bfe8a14cf10364, 0xa81a664bbc423001, 0xc24b8b70d0f89791, 0xc76c51a30654be30,
69              0xd192e819d6ef5218, 0xd69906245565a910, 0xf40e35855771202a, 0x106aa07032bbd1b8,
70              0x19a4c116b8d2d0c8, 0x1e376c085141ab53, 0x2748774cdf8eeb99, 0x34b0bcb5e19b48a8,
71              0x391c0cb3c5c95a63, 0x4ed8aa4ae3418acb, 0x5b9cca4f7763e373, 0x682e6ff3d6b2b8a3,
72              0x748f82ee5defb2fc, 0x78a5636f43172f60, 0x84c87814a1f0ab72, 0x8cc702081a6439ec,
73              0x90befffa23631e28, 0xa4506cebde82bde9, 0xbef9a3f7b2c67915, 0xc67178f2e372532b,
74              0xca273eceea26619c, 0xd186b8c721c0c207, 0xeada7dd6cde0eb1e, 0xf57d4f7fee6ed178,
75              0x06f067aa72176fba, 0x0a637dc5a2c898a6, 0x113f9804bef90dae, 0x1b710b35131c471b,
76              0x28db77f523047d84, 0x32caab7b40c72493, 0x3c9ebe0a15c9bebc, 0x431d67c49c100d4c,
77              0x4cc5d4becb3e42b6, 0x597f299cfc657e2a, 0x5fcb6fab3ad6faec, 0x6c44198c4a475817
78          ],
79          [0x6a09e667f3bcc908, 0xbb67ae8584caa73b, 0x3c6ef372fe94f82b, 0xa54ff53a5f1d36f1,
80          0x510e527fade682d1, 0x9b05688c2b3e6c1f, 0x1f83d9abfb41bd6b, 0x5be0cd19137e2179]
81      )]
82  ][0]