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ARC-stuff
File size: 42,132 Bytes 
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e59fe032-6d13-4bce-89a6-d0b293729efb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import arc_json_model as ajm\n",
    "from visualize import ajm_image_show\n",
    "import numpy as np\n",
    "import export_task_to_image as etti\n",
    "\n",
    "ajm.Image.show = ajm_image_show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0bce29ca-21eb-40d2-b54d-3683dcc40b5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'testdata/af902bf9.json'\n",
    "task = ajm.Task.load(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "12279705-ad7b-491b-8915-3cb4eaaafc3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "image = task.pairs[1].input\n",
    "image.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "22762407-e88d-4db1-8cd8-52c8af86d341",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exporter = etti.ExportTaskToImage(task)\n",
    "the_pixels = exporter.image_with_mark(0, 2, 5)\n",
    "image2 = ajm.Image(the_pixels, 'no-id')\n",
    "image2.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66e3d1e8-6638-40e7-89a6-748bd95d60da",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}