Untitled5.ipynb

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   "source": [
    "import numpy as np"
   ]
  },
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   "source": [
    "from dataclasses import dataclass\n",
    "\n",
    "@dataclass\n",
    "class Chunk:\n",
    "    length: int\n",
    "    value: int"
   ]
  },
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   "outputs": [
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     "data": {
      "text/plain": [
       "array([2, 1, 3, 2, 2])"
      ]
     },
     "execution_count": 6,
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   "source": [
    "numbers = [5, 5, 4, 5, 5, 5, 4, 5, 6]\n",
    "numbers = [1,3,4,7,9,11]\n",
    "diffs = np.diff(numbers)\n",
    "diffs"
   ]
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: Chunk(length=1, value=2),\n",
       " 1: Chunk(length=1, value=1),\n",
       " 2: Chunk(length=1, value=3),\n",
       " 3: Chunk(length=2, value=2)}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "start = 0\n",
    "chunks = dict()\n",
    "for end in range(len(diffs)):\n",
    "    if (diffs[end] != diffs[start]):\n",
    "        chunks[start] = Chunk(value=diffs[start], length=end - start)\n",
    "        start = end\n",
    "chunks[start] = Chunk(value=diffs[start], length=end - start + 1)\n",
    "\n",
    "chunks"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "d0a4fcfa",
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   "source": []
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