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  1. #!/usr/bin/python2.7
  2.  
  3. import sha3, copy
  4. import binascii
  5.  
  6. WORD_BYTES = 4 # bytes in word
  7. DATASET_BYTES_INIT = 2**30 # bytes in dataset at genesis
  8. DATASET_BYTES_GROWTH = 2**23 # dataset growth per epoch
  9. CACHE_BYTES_INIT = 2**24 # bytes in cache at genesis
  10. CACHE_BYTES_GROWTH = 2**17 # cache growth per epoch
  11. CACHE_MULTIPLIER=1024 # Size of the DAG relative to the cache
  12. EPOCH_LENGTH = 30000 # blocks per epoch
  13. MIX_BYTES = 128 # width of mix
  14. HASH_BYTES = 64 # hash length in bytes
  15. DATASET_PARENTS = 256 # number of parents of each dataset element
  16. CACHE_ROUNDS = 3 # number of rounds in cache production
  17. ACCESSES = 64 # number of accesses in hashimoto loop
  18.  
  19. # Assumes little endian bit ordering (same as Intel architectures)
  20. def decode_int(s):
  21. return int(s[::-1].encode('hex'), 16) if s else 0
  22.  
  23. def encode_int(s):
  24. a = "%x" % s
  25. return '' if s == 0 else ('0' * (len(a) % 2) + a).decode('hex')[::-1]
  26.  
  27. def zpad(s, length):
  28. return s + '\x00' * max(0, length - len(s))
  29.  
  30. def serialize_hash(h):
  31. return ''.join([zpad(encode_int(x), 4) for x in h])
  32.  
  33. def deserialize_hash(h):
  34. return [decode_int(h[i:i+WORD_BYTES]) for i in range(0, len(h), WORD_BYTES)]
  35.  
  36. def hash_words(h, sz, x):
  37. if isinstance(x, list):
  38. x = serialize_hash(x)
  39. y = h(x)
  40. return deserialize_hash(y)
  41.  
  42. def serialize_cache(ds):
  43. return ''.join([serialize_hash(h) for h in ds])
  44.  
  45. serialize_dataset = serialize_cache
  46.  
  47. # sha3 hash function, outputs 64 bytes
  48. def sha3_512(x):
  49. return hash_words(lambda v: sha3.keccak_512(v).digest(), 64, x)
  50. # return hash_words(lambda v: sha3.keccak_512(v, 64, x))
  51.  
  52. def sha3_256(x):
  53. return hash_words(lambda v: sha3.keccak_256(v).digest(), 32, x)
  54. # return hash_words(lambda v: sha3.keccak_256(v, 32, x))
  55.  
  56. def xor(a, b):
  57. return a ^ b
  58.  
  59. def isprime(x):
  60. for i in range(2, int(x**0.5)):
  61. if x % i == 0:
  62. return False
  63. return True
  64.  
  65. def get_datasize(block_number):
  66. return data_sizes[block_number // EPOCH_LENGTH]
  67.  
  68. def get_cachesize(block_number):
  69. return cache_sizes[block_number // EPOCH_LENGTH]
  70.  
  71. data_sizes = [
  72. 1073739904, 1082130304, 1090514816, 1098906752, 1107293056,
  73. 1115684224, 1124070016, 1132461952, 1140849536, 1149232768,
  74. 1157627776, 1166013824, 1174404736, 1182786944, 1191180416,
  75. 1199568512, 1207958912, 1216345216, 1224732032, 1233124736,
  76. 1241513344, 1249902464, 1258290304, 1266673792, 1275067264,
  77. 1283453312, 1291844992, 1300234112, 1308619904, 1317010048,
  78. 1325397376, 1333787776, 1342176128, 1350561664, 1358954368,
  79. 1367339392, 1375731584, 1384118144, 1392507008, 1400897408,
  80. 1409284736, 1417673344, 1426062464, 1434451072, 1442839168,
  81. 1451229056, 1459615616, 1468006016, 1476394112, 1484782976,
  82. 1493171584, 1501559168, 1509948032, 1518337664, 1526726528,
  83. 1535114624, 1543503488, 1551892096, 1560278656, 1568669056,
  84. 1577056384, 1585446272, 1593831296, 1602219392, 1610610304,
  85. 1619000192, 1627386752, 1635773824, 1644164224, 1652555648,
  86. 1660943488, 1669332608, 1677721216, 1686109312, 1694497664,
  87. 1702886272, 1711274624, 1719661184, 1728047744, 1736434816,
  88. 1744829056, 1753218944, 1761606272, 1769995904, 1778382464,
  89. 1786772864, 1795157888, 1803550592, 1811937664, 1820327552,
  90. 1828711552, 1837102976, 1845488768, 1853879936, 1862269312,
  91. 1870656896, 1879048064, 1887431552, 1895825024, 1904212096,
  92. 1912601216, 1920988544, 1929379456, 1937765504, 1946156672,
  93. 1954543232, 1962932096, 1971321728, 1979707264, 1988093056,
  94. 1996487552, 2004874624, 2013262208, 2021653888, 2030039936,
  95. 2038430848, 2046819968, 2055208576, 2063596672, 2071981952,
  96. 2080373632, 2088762752, 2097149056, 2105539712, 2113928576,
  97. 2122315136, 2130700672, 2139092608, 2147483264, 2155872128,
  98. 2164257664, 2172642176, 2181035392, 2189426048, 2197814912,
  99. 2206203008, 2214587264, 2222979712, 2231367808, 2239758208,
  100. 2248145024, 2256527744, 2264922752, 2273312128, 2281701248,
  101. 2290086272, 2298476672, 2306867072, 2315251072, 2323639168,
  102. 2332032128, 2340420224, 2348808064, 2357196416, 2365580416,
  103. 2373966976, 2382363008, 2390748544, 2399139968, 2407530368,
  104. 2415918976, 2424307328, 2432695424, 2441084288, 2449472384,
  105. 2457861248, 2466247808, 2474637184, 2483026816, 2491414144,
  106. 2499803776, 2508191872, 2516582272, 2524970368, 2533359232,
  107. 2541743488, 2550134144, 2558525056, 2566913408, 2575301504,
  108. 2583686528, 2592073856, 2600467328, 2608856192, 2617240448,
  109. 2625631616, 2634022016, 2642407552, 2650796416, 2659188352,
  110. 2667574912, 2675965312, 2684352896, 2692738688, 2701130624,
  111. 2709518464, 2717907328, 2726293376, 2734685056, 2743073152,
  112. 2751462016, 2759851648, 2768232832, 2776625536, 2785017728,
  113. 2793401984, 2801794432, 2810182016, 2818571648, 2826959488,
  114. 2835349376, 2843734144, 2852121472, 2860514432, 2868900992,
  115. 2877286784, 2885676928, 2894069632, 2902451584, 2910843008,
  116. 2919234688, 2927622784, 2936011648, 2944400768, 2952789376,
  117. 2961177728, 2969565568, 2977951616, 2986338944, 2994731392,
  118. 3003120256, 3011508352, 3019895936, 3028287104, 3036675968,
  119. 3045063808, 3053452928, 3061837696, 3070228352, 3078615424,
  120. 3087003776, 3095394944, 3103782272, 3112173184, 3120562048,
  121. 3128944768, 3137339264, 3145725056, 3154109312, 3162505088,
  122. 3170893184, 3179280256, 3187669376, 3196056704, 3204445568,
  123. 3212836736, 3221224064, 3229612928, 3238002304, 3246391168,
  124. 3254778496, 3263165824, 3271556224, 3279944576, 3288332416,
  125. 3296719232, 3305110912, 3313500032, 3321887104, 3330273152,
  126. 3338658944, 3347053184, 3355440512, 3363827072, 3372220288,
  127. 3380608384, 3388997504, 3397384576, 3405774208, 3414163072,
  128. 3422551936, 3430937984, 3439328384, 3447714176, 3456104576,
  129. 3464493952, 3472883584, 3481268864, 3489655168, 3498048896,
  130. 3506434432, 3514826368, 3523213952, 3531603584, 3539987072,
  131. 3548380288, 3556763264, 3565157248, 3573545344, 3581934464,
  132. 3590324096, 3598712704, 3607098752, 3615488384, 3623877248,
  133. 3632265856, 3640646528, 3649043584, 3657430144, 3665821568,
  134. 3674207872, 3682597504, 3690984832, 3699367808, 3707764352,
  135. 3716152448, 3724541056, 3732925568, 3741318016, 3749706368,
  136. 3758091136, 3766481536, 3774872704, 3783260032, 3791650432,
  137. 3800036224, 3808427648, 3816815488, 3825204608, 3833592704,
  138. 3841981568, 3850370432, 3858755968, 3867147904, 3875536256,
  139. 3883920512, 3892313728, 3900702592, 3909087872, 3917478784,
  140. 3925868416, 3934256512, 3942645376, 3951032192, 3959422336,
  141. 3967809152, 3976200064, 3984588416, 3992974976, 4001363584,
  142. 4009751168, 4018141312, 4026530432, 4034911616, 4043308928,
  143. 4051695488, 4060084352, 4068472448, 4076862848, 4085249408,
  144. 4093640576, 4102028416, 4110413696, 4118805632, 4127194496,
  145. 4135583104, 4143971968, 4152360832, 4160746112, 4169135744,
  146. 4177525888, 4185912704, 4194303616, 4202691968, 4211076736,
  147. 4219463552, 4227855488, 4236246656, 4244633728, 4253022848,
  148. 4261412224, 4269799808, 4278184832, 4286578048, 4294962304,
  149. 4303349632, 4311743104, 4320130432, 4328521088, 4336909184,
  150. 4345295488, 4353687424, 4362073472, 4370458496, 4378852736,
  151. 4387238528, 4395630208, 4404019072, 4412407424, 4420790656,
  152. 4429182848, 4437571456, 4445962112, 4454344064, 4462738048,
  153. 4471119232, 4479516544, 4487904128, 4496289664, 4504682368,
  154. 4513068416, 4521459584, 4529846144, 4538232704, 4546619776,
  155. 4555010176, 4563402112, 4571790208, 4580174464, 4588567936,
  156. 4596957056, 4605344896, 4613734016, 4622119808, 4630511488,
  157. 4638898816, 4647287936, 4655675264, 4664065664, 4672451968,
  158. 4680842624, 4689231488, 4697620352, 4706007424, 4714397056,
  159. 4722786176, 4731173248, 4739562368, 4747951744, 4756340608,
  160. 4764727936, 4773114496, 4781504384, 4789894784, 4798283648,
  161. 4806667648, 4815059584, 4823449472, 4831835776, 4840226176,
  162. 4848612224, 4857003392, 4865391488, 4873780096, 4882169728,
  163. 4890557312, 4898946944, 4907333248, 4915722368, 4924110976,
  164. 4932499328, 4940889728, 4949276032, 4957666432, 4966054784,
  165. 4974438016, 4982831488, 4991221376, 4999607168, 5007998848,
  166. 5016386432, 5024763776, 5033164672, 5041544576, 5049941888,
  167. 5058329728, 5066717056, 5075107456, 5083494272, 5091883904,
  168. 5100273536, 5108662144, 5117048192, 5125436032, 5133827456,
  169. 5142215296, 5150605184, 5158993024, 5167382144, 5175769472,
  170. 5184157568, 5192543872, 5200936064, 5209324928, 5217711232,
  171. 5226102656, 5234490496, 5242877312, 5251263872, 5259654016,
  172. 5268040832, 5276434304, 5284819328, 5293209728, 5301598592,
  173. 5309986688, 5318374784, 5326764416, 5335151488, 5343542144,
  174. 5351929472, 5360319872, 5368706944, 5377096576, 5385484928,
  175. 5393871232, 5402263424, 5410650496, 5419040384, 5427426944,
  176. 5435816576, 5444205952, 5452594816, 5460981376, 5469367936,
  177. 5477760896, 5486148736, 5494536832, 5502925952, 5511315328,
  178. 5519703424, 5528089984, 5536481152, 5544869504, 5553256064,
  179. 5561645696, 5570032768, 5578423936, 5586811264, 5595193216,
  180. 5603585408, 5611972736, 5620366208, 5628750464, 5637143936,
  181. 5645528192, 5653921408, 5662310272, 5670694784, 5679082624,
  182. 5687474048, 5695864448, 5704251008, 5712641408, 5721030272,
  183. 5729416832, 5737806208, 5746194304, 5754583936, 5762969984,
  184. 5771358592, 5779748224, 5788137856, 5796527488, 5804911232,
  185. 5813300608, 5821692544, 5830082176, 5838468992, 5846855552,
  186. 5855247488, 5863636096, 5872024448, 5880411008, 5888799872,
  187. 5897186432, 5905576832, 5913966976, 5922352768, 5930744704,
  188. 5939132288, 5947522432, 5955911296, 5964299392, 5972688256,
  189. 5981074304, 5989465472, 5997851008, 6006241408, 6014627968,
  190. 6023015552, 6031408256, 6039796096, 6048185216, 6056574848,
  191. 6064963456, 6073351808, 6081736064, 6090128768, 6098517632,
  192. 6106906496, 6115289216, 6123680896, 6132070016, 6140459648,
  193. 6148849024, 6157237376, 6165624704, 6174009728, 6182403712,
  194. 6190792064, 6199176064, 6207569792, 6215952256, 6224345216,
  195. 6232732544, 6241124224, 6249510272, 6257899136, 6266287744,
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  197. 6316620928, 6325006208, 6333395584, 6341784704, 6350174848,
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  203. 6568278656, 6576662912, 6585055616, 6593443456, 6601834112,
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  768. 251919424, 252051392, 252182464, 252313408, 252444224, 252575552,
  769. 252706624, 252836032, 252968512, 253099712, 253227584, 253361728,
  770. 253493056, 253623488, 253754432, 253885504, 254017216, 254148032,
  771. 254279488, 254410432, 254541376, 254672576, 254803264, 254933824,
  772. 255065792, 255196736, 255326528, 255458752, 255589952, 255721408,
  773. 255851072, 255983296, 256114624, 256244416, 256374208, 256507712,
  774. 256636096, 256768832, 256900544, 257031616, 257162176, 257294272,
  775. 257424448, 257555776, 257686976, 257818432, 257949632, 258079552,
  776. 258211136, 258342464, 258473408, 258603712, 258734656, 258867008,
  777. 258996544, 259127744, 259260224, 259391296, 259522112, 259651904,
  778. 259784384, 259915328, 260045888, 260175424, 260308544, 260438336,
  779. 260570944, 260700992, 260832448, 260963776, 261092672, 261226304,
  780. 261356864, 261487936, 261619648, 261750592, 261879872, 262011968,
  781. 262143424, 262274752, 262404416, 262537024, 262667968, 262799296,
  782. 262928704, 263061184, 263191744, 263322944, 263454656, 263585216,
  783. 263716672, 263847872, 263978944, 264108608, 264241088, 264371648,
  784. 264501184, 264632768, 264764096, 264895936, 265024576, 265158464,
  785. 265287488, 265418432, 265550528, 265681216, 265813312, 265943488,
  786. 266075968, 266206144, 266337728, 266468032, 266600384, 266731072,
  787. 266862272, 266993344, 267124288, 267255616, 267386432, 267516992,
  788. 267648704, 267777728, 267910592, 268040512, 268172096, 268302784,
  789. 268435264, 268566208, 268696256, 268828096, 268959296, 269090368,
  790. 269221312, 269352256, 269482688, 269614784, 269745856, 269876416,
  791. 270007616, 270139328, 270270272, 270401216, 270531904, 270663616,
  792. 270791744, 270924736, 271056832, 271186112, 271317184, 271449536,
  793. 271580992, 271711936, 271843136, 271973056, 272105408, 272236352,
  794. 272367296, 272498368, 272629568, 272759488, 272891456, 273022784,
  795. 273153856, 273284672, 273415616, 273547072, 273677632, 273808448,
  796. 273937088, 274071488, 274200896, 274332992, 274463296, 274595392,
  797. 274726208, 274857536, 274988992, 275118656, 275250496, 275382208,
  798. 275513024, 275643968, 275775296, 275906368, 276037184, 276167872,
  799. 276297664, 276429376, 276560576, 276692672, 276822976, 276955072,
  800. 277085632, 277216832, 277347008, 277478848, 277609664, 277740992,
  801. 277868608, 278002624, 278134336, 278265536, 278395328, 278526784,
  802. 278657728, 278789824, 278921152, 279052096, 279182912, 279313088,
  803. 279443776, 279576256, 279706048, 279838528, 279969728, 280099648,
  804. 280230976, 280361408, 280493632, 280622528, 280755392, 280887104,
  805. 281018176, 281147968, 281278912, 281411392, 281542592, 281673152,
  806. 281803712, 281935552, 282066496, 282197312, 282329024, 282458816,
  807. 282590272, 282720832, 282853184, 282983744, 283115072, 283246144,
  808. 283377344, 283508416, 283639744, 283770304, 283901504, 284032576,
  809. 284163136, 284294848, 284426176, 284556992, 284687296, 284819264,
  810. 284950208, 285081536]
  811.  
  812. def get_cache_size(block_number):
  813. sz = CACHE_BYTES_INIT + CACHE_BYTES_GROWTH * (block_number // EPOCH_LENGTH)
  814. sz -= HASH_BYTES
  815. while not isprime(sz / HASH_BYTES):
  816. sz -= 2 * HASH_BYTES
  817. return sz
  818.  
  819. def get_full_size(block_number):
  820. sz = DATASET_BYTES_INIT + DATASET_BYTES_GROWTH * (block_number // EPOCH_LENGTH)
  821. sz -= MIX_BYTES
  822. while not isprime(sz / MIX_BYTES):
  823. sz -= 2 * MIX_BYTES
  824. return sz
  825.  
  826. def mkcache(cache_size, seed):
  827. #f = open("dag_cache_origin.txt", "a")
  828. #g = open("dag_cache.txt", "a")
  829. print("Make light cache")
  830. n = cache_size // HASH_BYTES
  831.  
  832. # Sequentially produce the initial dataset
  833. o = [sha3_512(seed)]
  834. for i in range(1, n):
  835. o.append(sha3_512(o[-1]))
  836. #col0item = map(hex, o[i])
  837. #f.write(str(col0item[0]))
  838. # return int(s[::-1].encode('hex'), 16) if s else 0
  839. f.write("\n")
  840. f.close()
  841.  
  842. # Use a low-round version of randmemohash
  843. for _ in range(CACHE_ROUNDS):
  844. for i in range(n):
  845. v = o[i][0] % n
  846. lala =o[(i-1+n) % n]
  847. o[i] = sha3_512(map(xor, o[(i-1+n) % n], o[v]))
  848. #col1item = map(hex, o[i])
  849. #g.write(str(col1item[1]))
  850. #g.write("\n")
  851. return o
  852.  
  853. ########### Make a fake light cache with all 0's
  854. ##########def mkfakecache(cache_size, seed):
  855. ##########n = cache_size // HASH_BYTES
  856.  
  857. ########### Sequentially produce the initial dataset
  858. ###########o = [sha3_512(seed)]
  859. ##########o = [0]
  860. ##########for i in range(1, n):
  861. ##########o.append(0)
  862. ##########return o
  863.  
  864. FNV_PRIME = 0x01000193
  865.  
  866. def fnv(v1, v2):
  867. return ((v1 * FNV_PRIME) ^ v2) % 2**32
  868.  
  869. def calc_dataset_item(cache, i):
  870. n = len(cache)
  871. r = HASH_BYTES // WORD_BYTES
  872. # initialize the mix
  873. mix = copy.copy(cache[i % n])
  874. mix[0] ^= i
  875. mix = sha3_512(mix)
  876. # fnv it with a lot of random cache nodes based on i (256 times)
  877. for j in range(DATASET_PARENTS):
  878. cache_index = fnv(i ^ j, mix[j % r])
  879. lala123 = cache[cache_index % n]
  880. mix = map(fnv, mix, cache[cache_index % n])
  881. return sha3_512(mix)
  882.  
  883. # Pad dataset with all zeros
  884. def calc_fake_dataset_item(cache, i):
  885. #return an array of 16 four-byte numbers, 16 * 4 * 8 = 512
  886. #In the original dataset, you'd get the hash digest of a sha3_512
  887. return [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
  888.  
  889. #Create entire DAG
  890. def calc_dataset(full_size, cache):
  891. print("Create Full DAG")
  892. return [calc_dataset_item(cache, i) for i in range(full_size // HASH_BYTES)]
  893.  
  894. def calc_fake_dataset(full_size, cache):
  895. return [calc_fake_dataset_item(cache, i) for i in range(full_size // HASH_BYTES)]
  896.  
  897. #Hashimoto is the "search function"
  898. def hashimoto(header, nonce, full_size, dataset_lookup):
  899. n = full_size / HASH_BYTES
  900. w = MIX_BYTES // WORD_BYTES
  901. mixhashes = MIX_BYTES / HASH_BYTES
  902. # combine header+nonce into a 64 byte seed
  903. nonce = encode_int(nonce)
  904. #Before we start mix, gotta do a round of Keccak first
  905. s = sha3_512(header + nonce[::-1])
  906. # start the mix with replicated s
  907. mix = []
  908. for _ in range(MIX_BYTES / HASH_BYTES):
  909. mix.extend(s)
  910. print(mix)
  911. print(binascii.hexlify(serialize_hash(mix)))
  912. # mix in random dataset nodes
  913. for i in range(ACCESSES):
  914. p = fnv(i ^ s[0], mix[i % w]) % (n // mixhashes) * mixhashes
  915. newdata = []
  916. for j in range(MIX_BYTES / HASH_BYTES):
  917. newdata.extend(dataset_lookup(p + j))
  918. print("type mix is" , type(mix))
  919. print("type newdata is" , type(newdata))
  920. print("ACCESS is",i)
  921. mix = map(fnv, mix, newdata)
  922. # compress mix
  923. cmix = []
  924. for i in range(0, len(mix), 4):
  925. print("cmix is ", cmix)
  926. cmix.append(fnv(fnv(fnv(mix[i], mix[i+1]), mix[i+2]), mix[i+3]))
  927. print("cmix is ", cmix)
  928. print("cmix is ", cmix)
  929. return {
  930. "mix digest": serialize_hash(cmix),
  931. "result": serialize_hash(sha3_256(s+cmix))
  932. }
  933.  
  934.  
  935. #Mix only algo - for Avnet reference
  936. def mix_only(s, full_size, dataset_lookup):
  937. n = full_size / HASH_BYTES
  938. w = MIX_BYTES // WORD_BYTES
  939. mixhashes = MIX_BYTES / HASH_BYTES
  940. # combine header+nonce into a 64 byte seed
  941. # Avnet : comment below to parse s from object calls
  942. s = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
  943. print(s)
  944. s = sha3_512(s)
  945. print(s)
  946. s = serialize_hash(s)
  947. print("Initial s data in HEX:")
  948. print(binascii.hexlify(s))
  949.  
  950.  
  951. # start the mix with replicated s
  952. mix = []
  953. for _ in range(MIX_BYTES / HASH_BYTES):
  954. mix.extend(s)
  955. print("type mix is" , type(mix))
  956. # mix in random dataset nodes
  957. for i in range(ACCESSES):
  958. p = fnv(i ^ ord(s[0]), ord(mix[i % w])) % (n // mixhashes) * mixhashes
  959. newdata = []
  960. print("newdata is",newdata)
  961. for j in range(MIX_BYTES / HASH_BYTES):
  962. newdata.extend(dataset_lookup(p + j))
  963. print("mixmap is ")
  964. print("type mix is" , type(mix))
  965. print("type newdata is" , type(newdata))
  966. print("ACCESS is",i)
  967. mix = map(fnv, mix, newdata)
  968. # compress mix
  969. cmix = []
  970. for i in range(0, len(mix), 4):
  971. print("cmix start append")
  972. cmix.append(fnv(fnv(fnv(mix[i], mix[i+1]), mix[i+2]), mix[i+3]))
  973. print("returning cmix")
  974. return cmix
  975.  
  976. def hashimoto_light(full_size, cache, header, nonce):
  977. return hashimoto(header, nonce, full_size, lambda x: calc_dataset_item(cache, x))
  978.  
  979. def hashimoto_full(full_size, dataset, header, nonce):
  980. return hashimoto(header, nonce, full_size, lambda x: dataset[x])
  981.  
  982. def get_seedhash(block):
  983. s = '\x00' * 32
  984. for i in range(block.number // EPOCH_LENGTH):
  985. s = serialize_hash(sha3_256(s))
  986. return s
  987.  
  988. def mine(full_size, dataset, header, difficulty):
  989. print("Target: {}".format(float(2**256 // difficulty)))
  990. target = zpad(encode_int(2**256 // difficulty), 64) # [::-1]
  991. print("Target after padding: {}".format(float(decode_int(target))))
  992. from random import randint
  993. nonce = randint(0, 2**64)
  994. print("Nonce: {}".format(nonce))
  995. print(float(decode_int(hashimoto_full(full_size, dataset, header, nonce)['result'])))
  996. steps = 0
  997. while decode_int(hashimoto_full(full_size, dataset, header, nonce)['result']) > decode_int(target):
  998. nonce = (nonce + 1) % 2**64
  999. steps += 1
  1000. print("Nonce: {}".format(nonce))
  1001. print(float(decode_int(hashimoto_full(full_size, dataset, header, nonce)['result'])))
  1002. print("Steps required: {}".format(steps))
  1003. return nonce
  1004.  
  1005.  
  1006. class Block(object):
  1007. def __init__(self, number):
  1008. self.number = number
  1009.  
  1010.  
  1011. def main():
  1012. header_size = 508 + 8 * 5
  1013.  
  1014. block = Block(30010)
  1015. #block = Block(7749409)
  1016. header = str(bytearray(header_size))
  1017. difficulty = 0x4000
  1018.  
  1019. #fnvresult = fnv(0x12345678,0xffffffff)
  1020. #print(hex(fnvresult))
  1021.  
  1022. cache_size = get_cache_size(block.number)
  1023. print("Cache size is", cache_size)
  1024. full_size = get_full_size(block.number)
  1025. print("Full size is", full_size)
  1026. seedhash = get_seedhash(block)
  1027. seedhash_hex = binascii.hexlify(seedhash)
  1028. #print("Seedhash ASCII is", seedhash)
  1029.  
  1030. asdf = sha3.keccak_256("")
  1031. asdf = asdf.hexdigest()
  1032. print(asdf)
  1033. asdf3 = deserialize_hash(asdf)
  1034. print(asdf3)
  1035.  
  1036. asdf = sha3_512("")
  1037. print(asdf)
  1038. asdf2 = serialize_hash(asdf)
  1039. print(binascii.hexlify(asdf2))
  1040. asdf3 = deserialize_hash(asdf2)
  1041. print(asdf3)
  1042.  
  1043. print("Seedhash HEX is", seedhash_hex)
  1044. lenofseed = len(seedhash)
  1045. print("Length of seedhash is {} bytes".format(len(seedhash)))
  1046. print("Prepare light cache...")
  1047.  
  1048. #Make fake cache below
  1049. #cache = mkfakecache(cache_size, seedhash)
  1050. cache = mkcache(cache_size, seedhash)
  1051. print("Length of cache is", len(cache))
  1052. #print("Prepare zero-padded full dataset...")
  1053. #dataset = calc_fake_dataset(full_size, cache)
  1054. dataset = calc_dataset(full_size, cache)
  1055. print("Dataset to be used for MIX")
  1056. #s1 = [0,0,0,0,0,0,0,0,0,0,0,0,0]
  1057. #mixoutput = mix_only( s1 , full_size, lambda x: dataset[x])
  1058. #print("mix output is " , mixoutput)
  1059. print("Mine a block")
  1060. mine(full_size, dataset, header, difficulty)
  1061.  
  1062.  
  1063. if __name__ == "__main__":
  1064. main()
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