Delete z.ipynb
Browse files
z.ipynb
DELETED
|
@@ -1,101 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"cells": [
|
| 3 |
-
{
|
| 4 |
-
"cell_type": "code",
|
| 5 |
-
"execution_count": 14,
|
| 6 |
-
"metadata": {},
|
| 7 |
-
"outputs": [],
|
| 8 |
-
"source": [
|
| 9 |
-
"from collections import Counter\n",
|
| 10 |
-
"\n",
|
| 11 |
-
"def consistency(arr):\n",
|
| 12 |
-
" len_ans = len(arr)\n",
|
| 13 |
-
" arr_acounts = Counter(arr)\n",
|
| 14 |
-
" ans_freq_tuple = arr_acounts.most_common(len_ans)\n",
|
| 15 |
-
" most_frequent_item, _ = ans_freq_tuple[0]\n",
|
| 16 |
-
" ans_dict = {}\n",
|
| 17 |
-
" for ans_freq in ans_freq_tuple:\n",
|
| 18 |
-
" ans, times = ans_freq\n",
|
| 19 |
-
" ans_dict[ans] = times/len_ans\n",
|
| 20 |
-
" return most_frequent_item, ans_dict"
|
| 21 |
-
]
|
| 22 |
-
},
|
| 23 |
-
{
|
| 24 |
-
"cell_type": "code",
|
| 25 |
-
"execution_count": 15,
|
| 26 |
-
"metadata": {},
|
| 27 |
-
"outputs": [
|
| 28 |
-
{
|
| 29 |
-
"data": {
|
| 30 |
-
"text/plain": [
|
| 31 |
-
"('A', {'A': 0.6, 'B': 0.2, 'C': 0.2})"
|
| 32 |
-
]
|
| 33 |
-
},
|
| 34 |
-
"execution_count": 15,
|
| 35 |
-
"metadata": {},
|
| 36 |
-
"output_type": "execute_result"
|
| 37 |
-
}
|
| 38 |
-
],
|
| 39 |
-
"source": [
|
| 40 |
-
"ans = [\"A\",\"A\",\"A\",\"B\",\"C\"]\n",
|
| 41 |
-
"\n",
|
| 42 |
-
"consistency(ans)"
|
| 43 |
-
]
|
| 44 |
-
},
|
| 45 |
-
{
|
| 46 |
-
"cell_type": "code",
|
| 47 |
-
"execution_count": 10,
|
| 48 |
-
"metadata": {},
|
| 49 |
-
"outputs": [
|
| 50 |
-
{
|
| 51 |
-
"name": "stdout",
|
| 52 |
-
"output_type": "stream",
|
| 53 |
-
"text": [
|
| 54 |
-
"[('A', 3), ('B', 1), ('C', 1)]\n"
|
| 55 |
-
]
|
| 56 |
-
}
|
| 57 |
-
],
|
| 58 |
-
"source": [
|
| 59 |
-
"print(arr_acounts.most_common(len(ans)))"
|
| 60 |
-
]
|
| 61 |
-
},
|
| 62 |
-
{
|
| 63 |
-
"cell_type": "code",
|
| 64 |
-
"execution_count": null,
|
| 65 |
-
"metadata": {},
|
| 66 |
-
"outputs": [],
|
| 67 |
-
"source": [
|
| 68 |
-
"ans_dict = {}\n",
|
| 69 |
-
"ans_freq_tuple = arr_acounts.most_common(len(ans))\n",
|
| 70 |
-
"for ans_freq in ans_freq_tuple:\n",
|
| 71 |
-
" ans, times = ans_freq\n",
|
| 72 |
-
" ans_dict[ans] = times/len(arr)"
|
| 73 |
-
]
|
| 74 |
-
}
|
| 75 |
-
],
|
| 76 |
-
"metadata": {
|
| 77 |
-
"interpreter": {
|
| 78 |
-
"hash": "1e4907852c31268ef23280febd46201e788a9f549728e852c50dbb06a5d70124"
|
| 79 |
-
},
|
| 80 |
-
"kernelspec": {
|
| 81 |
-
"display_name": "Python 3.8.17 ('qual')",
|
| 82 |
-
"language": "python",
|
| 83 |
-
"name": "python3"
|
| 84 |
-
},
|
| 85 |
-
"language_info": {
|
| 86 |
-
"codemirror_mode": {
|
| 87 |
-
"name": "ipython",
|
| 88 |
-
"version": 3
|
| 89 |
-
},
|
| 90 |
-
"file_extension": ".py",
|
| 91 |
-
"mimetype": "text/x-python",
|
| 92 |
-
"name": "python",
|
| 93 |
-
"nbconvert_exporter": "python",
|
| 94 |
-
"pygments_lexer": "ipython3",
|
| 95 |
-
"version": "3.8.17"
|
| 96 |
-
},
|
| 97 |
-
"orig_nbformat": 4
|
| 98 |
-
},
|
| 99 |
-
"nbformat": 4,
|
| 100 |
-
"nbformat_minor": 2
|
| 101 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|