115 lines
2.8 KiB
Plaintext
115 lines
2.8 KiB
Plaintext
{
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"metadata": {
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"name": "",
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"signature": "sha256:6886e71181444b36c7a33b59039603d34808e3af4a3cd70cd03670eb5d8d59b2"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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"worksheets": [
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{
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"cells": [
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"%pylab inline"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"Populating the interactive namespace from numpy and matplotlib\n"
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]
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}
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],
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"prompt_number": 1
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"boards = ['odroid', 'pi', 'dell']\n",
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"pythons = ['3.4.1', '2.7.8', 'pypy-2.3.1']"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 2
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"import os\n",
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"\n",
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"from collections import defaultdict\n",
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"\n",
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"cpu_usage = defaultdict(dict)\n",
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"controller_rw_time = defaultdict(dict)\n",
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"\n",
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"packet = defaultdict(lambda: defaultdict(dict))\n",
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"\n",
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"for b in boards: \n",
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" for p in pythons:\n",
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" bp = os.path.join('res', b, p)\n",
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" \n",
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" l = eval(open(os.path.join(bp, 'robot.list')).read())\n",
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" cpu_usage[b][p] = array(l)\n",
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" \n",
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" l = eval(open(os.path.join(bp, 'dxl_controller.list')).read())\n",
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" controller_rw_time[b][p] = array(l)\n",
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" \n",
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" for s in ['serial', 'forged', 'pypot']:\n",
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" l = eval(open(os.path.join(bp, 'dxl_single', 'rw_{}.list'.format(s))).read())\n",
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" packet[s][b][p] = array(l)"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 3
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"data = {\n",
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" 'cpu_usage': dict(cpu_usage),\n",
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" 'controller_rw_time': dict(controller_rw_time),\n",
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" 'packet': dict(packet)\n",
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"}"
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],
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"language": "python",
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"metadata": {},
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"outputs": []
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"import pickle\n",
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"\n",
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"# get the file here: https://github.com/poppy-project/pypot/releases/download/2.4.0/data.pickle",
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"with open('data.pickle', 'wb') as f:\n",
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" pickle.dump(data, f)"
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],
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"language": "python",
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"metadata": {},
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"outputs": []
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [],
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"language": "python",
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"metadata": {},
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"outputs": []
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}
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],
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"metadata": {}
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}
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]
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}
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