yass-2 2.0.0

Yet another string similarity library
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy.optimize import linear_sum_assignment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8, array([0, 1, 2, 3]), array([3, 2, 0, 1]))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost = np.array([\n",
    "    [2, 5, 1, 1],\n",
    "    [6, 8, 4, 6],\n",
    "    [3, 7, 3, 2],\n",
    "    [0, 0, 0, 0]\n",
    "])\n",
    "row_ind, col_ind = linear_sum_assignment(cost)\n",
    "cost[row_ind, col_ind].sum(), row_ind, col_ind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15.0, array([0, 1, 2]), array([0, 3, 1]))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cost = np.array([\n",
    "   [8.0, 5.0, 9.0, 9.0],\n",
    "    [4.0, 2.0, 6.0, 4.0],\n",
    "    [7.0, 3.0, 7.0, 8.0],\n",
    "])\n",
    "\n",
    "row_ind, col_ind = linear_sum_assignment(cost)\n",
    "cost[row_ind, col_ind].sum(), row_ind, col_ind"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.9.15"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "88db7227d3cc9a138557c8e6d2b17faeee1265d333fb084011d74bc0d566fe18"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}