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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "ec5412d2",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np \n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "be1f0d01",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0, 1])"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"byte1= np.array([0x12, 0xe3, 0x9b])\n",
"byte2 = np.array([0x12, 0xe3, 0x9c])\n",
"b1 = np.array([0,0])\n",
"b2 = np.array([0,1])\n",
"b1\n",
"b2"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "c256a3d0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0 0 7]\n"
]
},
{
"data": {
"text/plain": [
"array([0, 1], dtype=uint8)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"v = byte1^byte2\n",
"v1 = np.array (v,dtype = np.uint8)\n",
"print(v1)\n",
"v2 = b1^b2\n",
"v2 = np.array (v2,dtype = np.uint8)\n",
"v2"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "227f0142",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1]\n"
]
},
{
"data": {
"text/plain": [
"array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], dtype=uint8)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"z = np.unpackbits(v1)\n",
"print(z)\n",
"z1 = np.unpackbits(v2)\n",
"z1"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "092d8dae",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a = sum(z)\n",
"a"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0ac2e304",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "034142b6",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "f203fbce",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.2"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|
