Step-by-Step implementation of the SHA-256 algorithm in Python

01 init.ipynb

02 prep.ipynb

03 calc.ipynb

04 val.ipynb

anim01 compression a.ipynb

anim02 compression b.ipynb

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    "new_compression_constants = compression_constants.copy()\n",
    "\n",
    "for i, word in enumerate(message_schedule):\n",
    "\n",
    "        print('Pos 0:' + new_compression_constants[0])\n",
    "        print('Pos 1:' + new_compression_constants[1])\n",
    "        print('Pos 2:' + new_compression_constants[2])\n",
    "        print('Pos 3:' + new_compression_constants[3])\n",
    "        print('Pos 4:' + new_compression_constants[4])\n",
    "        print('Pos 5:' + new_compression_constants[5])\n",
    "        print('Pos 6:' + new_compression_constants[6])\n",
    "        print('Pos 7:' + new_compression_constants[7])\n",
    "\n",
    "        print()\n",
    "        print('upper_sigma1([Pos 4]) -> word1 = ' + upper_sigma1(new_compression_constants[4]))\n",
    "        print('Choose from [Pos 4], [Pos 5], [Pos 6] -> word2 = ' + choose(new_compression_constants[4], new_compression_constants[5], new_compression_constants[6]))\n",
    "        print('[Pos 7] -> word3 = ' + new_compression_constants[7])\n",
    "        print('result_constants[i] -> word4 = ' + result_constants[i])\n",
    "        print('message_schedule[i] -> word5 = ' + word)\n",
    "        print('AND 11111111111111111111111111111111')\n",
    "\n",
    "        term1 = (int(upper_sigma1(new_compression_constants[4]), 2) + \\\n",
    "                int(choose(new_compression_constants[4], new_compression_constants[5], new_compression_constants[6]), 2) + \\\n",
    "                int(new_compression_constants[7], 2) + \\\n",
    "                int(result_constants[i], 2) + \\\n",
    "                int(word, 2)) \\\n",
    "                & int('11111111111111111111111111111111', 2)\n",
    "\n",
    "        print('term1 = ' + bin(term1)[2:].zfill(32))\n",
    "\n",
    "        print()\n",
    "        print('upper_sigma0([Pos 0]) -> word1 = ' + upper_sigma1(new_compression_constants[0]))\n",
    "        print('Majority from [Pos 0], [Pos 1], [Pos 2] -> word2 = ' + choose(new_compression_constants[4], new_compression_constants[5], new_compression_constants[6]))\n",
    "        print('AND 11111111111111111111111111111111')\n",
    "\n",
    "        term2 = (int(upper_sigma0(new_compression_constants[0]), 2) + \\\n",
    "                int(majority(new_compression_constants[0], new_compression_constants[1], new_compression_constants[2]), 2)) & \\\n",
    "                int('11111111111111111111111111111111', 2)\n",
    "\n",
    "        print('term2 = ' + bin(term2)[2:].zfill(32))\n",
    "\n",
    "        # move elements in list one index down, means: last one will be dropped\n",
    "        # and first one is empty now\n",
    "        new_compression_constants.insert(0, 1)\n",
    "        new_compression_constants.pop()\n",
    "\n",
    "        new_compression_constants[0] = bin(\n",
    "                (term1 + term2) & int('11111111111111111111111111111111', 2)\n",
    "                )[2:].zfill(32)\n",
    "\n",
    "        new_compression_constants[4] = bin(\n",
    "                (int(new_compression_constants[4], 2) + term1) & int('11111111111111111111111111111111', 2)\n",
    "                )[2:].zfill(32)\n",
    "\n",
    "        print()\n",
    "        \n",
    "        print('[Pos 0] = ' + new_compression_constants[0])\n",
    "        print('[Pos 4] = ' + new_compression_constants[0])\n",
    "\n",
    "        time.sleep(0.25)\n",
    "\n",
    "        clear_output(wait=True)"
   ]
  }
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anim03 finalisation.ipynb

Hello, i got message that this notebook is invalid. I can not open it in jupyter.
Thanks for your help!

Edit: now I put the lines manually in jupyter but after loop #47 i got following message:

Can you fix it please? Thanks

Hello, i got message that this notebook is invalid. I can not open it in jupyter. Thanks for your help!

Edit: now I put the lines manually in jupyter but after loop #47 i got following message:

Can you fix it please? Thanks

@Tardis4Future

You are right, I fixed it. I pasted the code instead of the raw text content of the Jupyter file.

Regarding your error: It works when I run it locally. Maybe it helps to run everything in one Jupyter. I splitted it to make it easier to implement in the Medium article. I uploaded the merged version here: https://gist.github.com/nickyreinert/5621d17d63efbbd68584246d20fe4d2f