Test Writing Data to Google Cloud.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import gcsfs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "fs = gcsfs.GCSFileSystem(project='polar-program-784', token=None)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['kemerelab-data/diba/',\n",
       " 'kemerelab-data/diba/gor01vvp01-metadata.h5',\n",
       " 'kemerelab-data/diba/gor01vvp01_processed_speed.nel']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fs.ls('kemerelab-data/diba')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'kemerelab-data/new-file': 4194304}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with fs.open('kemerelab-data/new-file', 'wb') as f:\n",
    "    f.write(2*2**20 * b'a')\n",
    "    f.write(2*2**20 * b'a') # data is flushed and file closed\n",
    "fs.du('kemerelab-data/new-file')\n"
   ]
  }
 ],
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