183 lines
3.9 KiB
Plaintext
183 lines
3.9 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-08-12T12:14:28.926189Z",
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"start_time": "2022-08-12T12:14:28.923089Z"
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},
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"import json\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-08-12T12:21:00.003395Z",
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"start_time": "2022-08-12T12:20:59.997851Z"
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},
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"dict_ = {'a': 3.1, 'b': 4.2}\n",
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"with open('my_class.json', 'w') as f:\n",
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" json.dump(dict_, f)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-08-12T12:23:03.889266Z",
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"start_time": "2022-08-12T12:23:03.883050Z"
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},
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"class MyClass:\n",
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" \n",
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" def __init__(self, a, b):\n",
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" \"\"\"The basic constructor takes 'raw' values.\"\"\"\n",
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" self.a = a\n",
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" self.b = b\n",
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" \n",
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" @classmethod\n",
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" def from_random_values(cls, random_state=np.random):\n",
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" \"\"\"Create a MyClass instance with random parameters.\"\"\"\n",
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" a = random_state.rand()\n",
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" b = random_state.randn()\n",
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" return cls(a, b)\n",
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" \n",
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" @classmethod\n",
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" def from_json(cls, json_fname):\n",
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" \"\"\"Create a MyClass instance with parameters read form a json file.\"\"\"\n",
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" with open(json_fname, 'r') as f:\n",
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" dict_ = json.load(f)\n",
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" a = dict_['a']\n",
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" b = dict_['b']\n",
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" return cls(a, b)\n",
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"\n",
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"my_class = MyClass.from_random_values()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-08-12T12:23:12.242599Z",
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"start_time": "2022-08-12T12:23:12.237477Z"
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},
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'a': 0.842940228048758, 'b': 0.2797222990193814}"
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]
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},
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"my_class = MyClass.from_random_values()\n",
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"my_class.__dict__"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-08-12T12:23:44.439726Z",
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"start_time": "2022-08-12T12:23:44.432540Z"
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},
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'a': 3.1, 'b': 4.2}"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"my_class = MyClass.from_json('my_class.json')\n",
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"my_class.__dict__"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"hide_input": false,
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"kernelspec": {
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"display_name": "Python [conda env:bog]",
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"language": "python",
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"name": "conda-env-bog-py"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.5"
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},
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"toc": {
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"nav_menu": {
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"height": "12px",
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"width": "252px"
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},
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"navigate_menu": true,
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"number_sections": true,
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"sideBar": true,
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"threshold": 4,
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"toc_cell": false,
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"toc_section_display": "block",
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"toc_window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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