{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "68cd13a8-3eb1-461c-b5e1-4f8a356abfeb",
   "metadata": {},
   "source": [
    "# Compute zonal stats for protected areas with raster data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1852e008-906d-40e5-826f-a8fa92d9fceb",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from raster_utils import * \n",
    "import os\n",
    "import sys\n",
    "base_dir = os.path.abspath(os.path.join(os.getcwd(), '..'))\n",
    "if base_dir not in sys.path:\n",
    "    sys.path.insert(0, base_dir)\n",
    "    \n",
    "from minio_utils import * \n",
    "con, _ = connect_minio()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d91efb56-e6e9-4cb6-8ce6-54d318e62534",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time \n",
    "# run for all metrics, files, and gap codes \n",
    "metric = 'overlap'\n",
    "label = 'gap1'\n",
    "index = 0\n",
    "\n",
    "get_raster_stats(con, label, name, raster, metric, index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1da6f99d-ba7f-44ed-8100-cc3371966693",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.lib.display import Audio\n",
    "import numpy as np\n",
    "\n",
    "framerate = 4410\n",
    "play_time_seconds = 1\n",
    "\n",
    "t = np.linspace(0, play_time_seconds, framerate*play_time_seconds)\n",
    "audio_data = np.sin(2*np.pi*300*t) + np.sin(2*np.pi*240*t)\n",
    "Audio(audio_data, rate=framerate, autoplay=True)"
   ]
  }
 ],
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