downsampling artifacts

downsampling.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "44b5acaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pathlib\n",
    "\n",
    "import dask.array as da\n",
    "import numpy as np\n",
    "\n",
    "from spatial_image import to_spatial_image\n",
    "from multiscale_spatial_image import to_multiscale, Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "19800256",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "16f29b44",
   "metadata": {},
   "outputs": [],
   "source": [
    "import napari\n",
    "viewer = napari.Viewer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6531e490",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-671a2ef6-9223-11ed-bd67-1e8454a2fb78</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "\n",
       "        <tr>\n",
       "        \n",
       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
       "        \n",
       "        </tr>\n",
       "\n",
       "        \n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\"></td>\n",
       "            </tr>\n",
       "        \n",
       "\n",
       "        </table>\n",
       "\n",
       "        \n",
       "\n",
       "        \n",
       "            <details>\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
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       "    </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">ae40b791</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 4\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 8\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 16.00 GiB\n",
       "                </td>\n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
       "</tr>\n",
       "\n",
       "            \n",
       "        </table>\n",
       "\n",
       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
       "            </summary>\n",
       "\n",
       "            <div style=\"\">\n",
       "    <div>\n",
       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
       "        <div style=\"margin-left: 48px;\">\n",
       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-3e89a818-28d5-4934-a238-3e67c980177d</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:49556\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 4\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 8\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Started:</strong> Just now\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total memory:</strong> 16.00 GiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "\n",
       "    <details style=\"margin-left: 48px;\">\n",
       "        <summary style=\"margin-bottom: 20px;\">\n",
       "            <h3 style=\"display: inline;\">Workers</h3>\n",
       "        </summary>\n",
       "\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
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       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:49567\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:49570/status\" target=\"_blank\">http://127.0.0.1:49570/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:49560\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/82/phlx_f6j5518qtvpm4x0_0fm0000gq/T/dask-worker-space/worker-r6ympopg\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:49569\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:49574/status\" target=\"_blank\">http://127.0.0.1:49574/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:49562\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/82/phlx_f6j5518qtvpm4x0_0fm0000gq/T/dask-worker-space/worker-43xh1200\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:49568\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:49573/status\" target=\"_blank\">http://127.0.0.1:49573/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:49559\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/82/phlx_f6j5518qtvpm4x0_0fm0000gq/T/dask-worker-space/worker-itd2zq7g\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:49572\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:49577/status\" target=\"_blank\">http://127.0.0.1:49577/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:49561\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/82/phlx_f6j5518qtvpm4x0_0fm0000gq/T/dask-worker-space/worker-xp52czac\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:49556' processes=4 threads=8, memory=16.00 GiB>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "client = Client()  # start distributed scheduler locally.\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d19ccea6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Volumes/GENEVIEVE/Projects/empanada/oocyte/predictions/oocyte-sem2-rebinned2x2median_OocyteMacFinetunedModel-Mac.zarr/mito\n"
     ]
    }
   ],
   "source": [
    "# Downsample mito labels for futher analysis\n",
    "\n",
    "directory = \"/Volumes/GENEVIEVE/Projects/empanada/oocyte/predictions/\"\n",
    "# must include /mito path *inside* the zarr container\n",
    "filename = os.path.join(directory, \"oocyte-sem2-rebinned2x2median_OocyteMacFinetunedModel-Mac.zarr/mito\")\n",
    "filename = pathlib.Path(filename)  # must be a pathlib Path\n",
    "\n",
    "print(filename)\n",
    "assert os.path.exists(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c1013f5d",
   "metadata": {},
   "outputs": [
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 35.71 GiB </td>\n",
       "                        <td> 64.00 MiB </td>\n",
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       "                        <td colspan=\"2\"> 700 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> int32 numpy.ndarray </td>\n",
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       "dask.array<from-zarr, shape=(1165, 2355, 3494), dtype=int32, chunksize=(256, 256, 256), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image = da.from_zarr(filename)\n",
    "# Chunks are a bit small for us right now\n",
    "image = da.rechunk(image, chunks='auto')\n",
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "9589d0d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # numpy doesn't have its own mode function\n",
    "# def mode(array, **kwargs):\n",
    "#     vals, counts = np.unique(array, return_counts=True)\n",
    "#     mode_value = np.argmax(counts)\n",
    "#     # tie breaker chooses the highest integer value\n",
    "#     # else we'd return zeros even when fully half the pixels are labelled\n",
    "#     mode_value = vals[int(np.argwhere(counts == max(counts))[-1])]\n",
    "#     expand_axes = tuple(range(image.ndim))\n",
    "#     result = np.expand_dims(np.array(mode_value), expand_axes)\n",
    "#     return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b520959d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# numpy doesn't have its own mode function\n",
    "def mode(array, **kwargs):\n",
    "    vals, counts = np.unique(array, return_counts=True)\n",
    "    mode_value = np.argmax(counts)\n",
    "    # tie breaker chooses the lowest integer (zero, in most cases)\n",
    "    mode_value = vals[np.argmax(counts)]\n",
    "    expand_axes = tuple(range(image.ndim))\n",
    "    result = np.expand_dims(np.array(mode_value), expand_axes).astype(array.dtype)\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6eb9ab23",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.ndarray'>\n",
      "int32\n",
      "[[[0]]]\n"
     ]
    }
   ],
   "source": [
    "# demo\n",
    "arr = np.array([\n",
    "    [2,2,0],\n",
    "    [2,0,0],\n",
    "    [2,0,3]\n",
    "]).astype(np.int32)\n",
    "\n",
    "test_result = mode(arr)  # tie between 0 and 2, broken by highest label value\n",
    "print(type(test_result))\n",
    "print(test_result.dtype)\n",
    "print(test_result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6b3281db",
   "metadata": {},
   "outputs": [
    {
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     "text": [
      "previous shape: (1165, 2355, 3494)\n",
      "Previous image dtype: int32 \n",
      "\n",
      "downsampled2 shape: (291, 588, 873)\n",
      "downsampled dtype: int32\n"
     ]
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       "dask.array<coarsen, shape=(291, 588, 873), dtype=int32, chunksize=(64, 64, 64), chunktype=numpy.ndarray>"
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     "metadata": {},
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   ],
   "source": [
    "# Downsampling by a factor of 4\n",
    "# This will give us an effective 2nm voxel size\n",
    "downsample_factor = 4\n",
    "axes = {0: downsample_factor, 1: downsample_factor, 2: downsample_factor}\n",
    "print(\"previous shape:\", image.shape)  # (1165, 2355, 3494)\n",
    "print(\"Previous image dtype:\", image.dtype, \"\\n\")\n",
    "downsampled = da.coarsen(mode, image, axes, trim_excess=True, dtype=image.dtype)\n",
    "\n",
    "print(\"downsampled2 shape:\", downsampled.shape)\n",
    "print(\"downsampled dtype:\", downsampled.dtype)\n",
    "downsampled"
   ]
  },
  {
   "cell_type": "code",
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   "id": "a9b24fb9",
   "metadata": {},
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     "text": [
      "int32\n"
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       "  <text x=\"175.815197\" y=\"66.227568\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,175.815197,66.227568)\">588</text>\n",
       "  <text x=\"12.907598\" y=\"113.732341\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,12.907598,113.732341)\">291</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "dask.array<rechunk-merge, shape=(291, 588, 873), dtype=int32, chunksize=(256, 256, 256), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rechunk the downsampled volume\n",
    "mito_labels = downsampled.rechunk(chunks=(image.chunksize))\n",
    "mito_labels = mito_labels.astype(image.dtype)\n",
    "print(mito_labels.dtype)\n",
    "mito_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e3470e90",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-01-12 14:02:27,077 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('rechunk-merge-store-map-af7bf65f8986dadc90be9489a71d0758', 1, 2, 3)\n",
      "Function:  execute_task\n",
      "args:      ((<function store_chunk at 0x123483c10>, (<function concatenate3 at 0x1234848b0>, [[[array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)], [array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)]]]), <zarr.core.Array (291, 588, 873) int32>, (slice(256, 291, None), slice(512, 588, None), slice(768, 873, None)), False, False))\n",
      "kwargs:    {}\n",
      "Exception: 'ValueError(\"parameter \\'value\\': expected array with shape (35, 76, 105), got (1, 2, 2)\")'\n",
      "\n",
      "2023-01-12 14:02:27,127 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('rechunk-merge-store-map-af7bf65f8986dadc90be9489a71d0758', 1, 0, 3)\n",
      "Function:  execute_task\n",
      "args:      ((<function store_chunk at 0x10e853c10>, (<function concatenate3 at 0x10e8548b0>, [[[array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)], [array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)], [array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)], [array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)]]]), <zarr.core.Array (291, 588, 873) int32>, (slice(256, 291, None), slice(0, 256, None), slice(768, 873, None)), False, False))\n",
      "kwargs:    {}\n",
      "Exception: 'ValueError(\"parameter \\'value\\': expected array with shape (35, 256, 105), got (1, 4, 2)\")'\n",
      "\n",
      "2023-01-12 14:02:27,196 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('rechunk-merge-store-map-af7bf65f8986dadc90be9489a71d0758', 1, 1, 3)\n",
      "Function:  execute_task\n",
      "args:      ((<function store_chunk at 0x123e84c10>, (<function concatenate3 at 0x123e858b0>, [[[array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)], [array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)], [array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)], [array([[[0]]], dtype=int32), array([[[0]]], dtype=int32)]]]), <zarr.core.Array (291, 588, 873) int32>, (slice(256, 291, None), slice(256, 512, None), slice(768, 873, None)), False, False))\n",
      "kwargs:    {}\n",
      "Exception: 'ValueError(\"parameter \\'value\\': expected array with shape (35, 256, 105), got (1, 4, 2)\")'\n",
      "\n",
      "2023-01-12 14:02:27,394 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 9).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "2023-01-12 14:02:27,395 - distributed.worker - ERROR - Exception during execution of task ('rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 9, 3).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 9, 3)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 9, 3)\"\n",
      "2023-01-12 14:02:27,407 - distributed.worker - ERROR - Exception during execution of task ('rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 8).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 8)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 8)\"\n",
      "2023-01-12 14:02:27,407 - distributed.worker - ERROR - Exception during execution of task ('rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 10).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 10)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 10)\"\n",
      "2023-01-12 14:02:27,408 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 9, 11).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "2023-01-12 14:02:27,408 - distributed.worker - ERROR - Exception during execution of task ('rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 11).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 11)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 11)\"\n",
      "2023-01-12 14:02:27,409 - distributed.worker - ERROR - Exception during execution of task ('rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 3).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 3)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('from-zarr-rechunk-split-rechunk-merge-rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 3)\"\n",
      "2023-01-12 14:02:27,410 - distributed.worker - ERROR - Exception during execution of task ('coarsen-fcfa589673e00a147db4ced802ce1c2a', 4, 8, 2).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 2)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('rechunk-merge-a30a11fc90c1b0d4fbd9c97c6bf390a3', 4, 8, 2)\"\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "parameter 'value': expected array with shape (35, 76, 105), got (1, 2, 2)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Input \u001b[0;32mIn [19]\u001b[0m, in \u001b[0;36m<cell line: 4>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m save_directory \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/Volumes/GENEVIEVE/Projects2023/OocyteProject/data-labelled/oocyte-mito-labels/\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m      3\u001b[0m save_filename \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(save_directory, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moocyte-mito-labels-2nmVoxels.zarr\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 4\u001b[0m \u001b[43mmito_labels\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_zarr\u001b[49m\u001b[43m(\u001b[49m\u001b[43msave_filename\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/core.py:2926\u001b[0m, in \u001b[0;36mArray.to_zarr\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   2915\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mto_zarr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m   2916\u001b[0m     \u001b[38;5;124;03m\"\"\"Save array to the zarr storage format\u001b[39;00m\n\u001b[1;32m   2917\u001b[0m \n\u001b[1;32m   2918\u001b[0m \u001b[38;5;124;03m    See https://zarr.readthedocs.io for details about the format.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   2924\u001b[0m \u001b[38;5;124;03m    dask.array.to_zarr : equivalent function\u001b[39;00m\n\u001b[1;32m   2925\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m-> 2926\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mto_zarr\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/core.py:3694\u001b[0m, in \u001b[0;36mto_zarr\u001b[0;34m(arr, url, component, storage_options, overwrite, region, compute, return_stored, **kwargs)\u001b[0m\n\u001b[1;32m   3683\u001b[0m chunks \u001b[38;5;241m=\u001b[39m [c[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m arr\u001b[38;5;241m.\u001b[39mchunks]\n\u001b[1;32m   3685\u001b[0m z \u001b[38;5;241m=\u001b[39m zarr\u001b[38;5;241m.\u001b[39mcreate(\n\u001b[1;32m   3686\u001b[0m     shape\u001b[38;5;241m=\u001b[39marr\u001b[38;5;241m.\u001b[39mshape,\n\u001b[1;32m   3687\u001b[0m     chunks\u001b[38;5;241m=\u001b[39mchunks,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   3692\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m   3693\u001b[0m )\n\u001b[0;32m-> 3694\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43marr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstore\u001b[49m\u001b[43m(\u001b[49m\u001b[43mz\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcompute\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreturn_stored\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mreturn_stored\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/core.py:1768\u001b[0m, in \u001b[0;36mArray.store\u001b[0;34m(self, target, **kwargs)\u001b[0m\n\u001b[1;32m   1766\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(store)\n\u001b[1;32m   1767\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstore\u001b[39m(\u001b[38;5;28mself\u001b[39m, target, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 1768\u001b[0m     r \u001b[38;5;241m=\u001b[39m \u001b[43mstore\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43mtarget\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1770\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m kwargs\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreturn_stored\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m   1771\u001b[0m         r \u001b[38;5;241m=\u001b[39m r[\u001b[38;5;241m0\u001b[39m]\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/core.py:1236\u001b[0m, in \u001b[0;36mstore\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m   1234\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m compute:\n\u001b[1;32m   1235\u001b[0m     store_dsk \u001b[38;5;241m=\u001b[39m HighLevelGraph(layers, dependencies)\n\u001b[0;32m-> 1236\u001b[0m     \u001b[43mcompute_as_if_collection\u001b[49m\u001b[43m(\u001b[49m\u001b[43mArray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore_dsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmap_keys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1237\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1239\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/base.py:342\u001b[0m, in \u001b[0;36mcompute_as_if_collection\u001b[0;34m(cls, dsk, keys, scheduler, get, **kwargs)\u001b[0m\n\u001b[1;32m    340\u001b[0m schedule \u001b[38;5;241m=\u001b[39m get_scheduler(scheduler\u001b[38;5;241m=\u001b[39mscheduler, \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mcls\u001b[39m, get\u001b[38;5;241m=\u001b[39mget)\n\u001b[1;32m    341\u001b[0m dsk2 \u001b[38;5;241m=\u001b[39m optimization_function(\u001b[38;5;28mcls\u001b[39m)(dsk, keys, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 342\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mschedule\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdsk2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/client.py:3122\u001b[0m, in \u001b[0;36mClient.get\u001b[0;34m(self, dsk, keys, workers, allow_other_workers, resources, sync, asynchronous, direct, retries, priority, fifo_timeout, actors, **kwargs)\u001b[0m\n\u001b[1;32m   3120\u001b[0m         should_rejoin \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m   3121\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3122\u001b[0m     results \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgather\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpacked\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43masynchronous\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43masynchronous\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdirect\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3123\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m   3124\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m f \u001b[38;5;129;01min\u001b[39;00m futures\u001b[38;5;241m.\u001b[39mvalues():\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/client.py:2291\u001b[0m, in \u001b[0;36mClient.gather\u001b[0;34m(self, futures, errors, direct, asynchronous)\u001b[0m\n\u001b[1;32m   2289\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   2290\u001b[0m     local_worker \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 2291\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   2292\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_gather\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2293\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2294\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2295\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdirect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2296\u001b[0m \u001b[43m    \u001b[49m\u001b[43mlocal_worker\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlocal_worker\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2297\u001b[0m \u001b[43m    \u001b[49m\u001b[43masynchronous\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43masynchronous\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2298\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/utils.py:339\u001b[0m, in \u001b[0;36mSyncMethodMixin.sync\u001b[0;34m(self, func, asynchronous, callback_timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m    337\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m future\n\u001b[1;32m    338\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 339\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    340\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallback_timeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallback_timeout\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m    341\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/utils.py:406\u001b[0m, in \u001b[0;36msync\u001b[0;34m(loop, func, callback_timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m    404\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m error:\n\u001b[1;32m    405\u001b[0m     typ, exc, tb \u001b[38;5;241m=\u001b[39m error\n\u001b[0;32m--> 406\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mwith_traceback(tb)\n\u001b[1;32m    407\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    408\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/utils.py:379\u001b[0m, in \u001b[0;36msync.<locals>.f\u001b[0;34m()\u001b[0m\n\u001b[1;32m    377\u001b[0m         future \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mwait_for(future, callback_timeout)\n\u001b[1;32m    378\u001b[0m     future \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mensure_future(future)\n\u001b[0;32m--> 379\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01myield\u001b[39;00m future\n\u001b[1;32m    380\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m    381\u001b[0m     error \u001b[38;5;241m=\u001b[39m sys\u001b[38;5;241m.\u001b[39mexc_info()\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/tornado/gen.py:762\u001b[0m, in \u001b[0;36mRunner.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    759\u001b[0m exc_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    761\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 762\u001b[0m     value \u001b[38;5;241m=\u001b[39m \u001b[43mfuture\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    763\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m    764\u001b[0m     exc_info \u001b[38;5;241m=\u001b[39m sys\u001b[38;5;241m.\u001b[39mexc_info()\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/client.py:2154\u001b[0m, in \u001b[0;36mClient._gather\u001b[0;34m(self, futures, errors, direct, local_worker)\u001b[0m\n\u001b[1;32m   2152\u001b[0m         exc \u001b[38;5;241m=\u001b[39m CancelledError(key)\n\u001b[1;32m   2153\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 2154\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m exception\u001b[38;5;241m.\u001b[39mwith_traceback(traceback)\n\u001b[1;32m   2155\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[1;32m   2156\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m errors \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mskip\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/core.py:4366\u001b[0m, in \u001b[0;36mstore_chunk\u001b[0;34m()\u001b[0m\n\u001b[1;32m   4363\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstore_chunk\u001b[39m(\n\u001b[1;32m   4364\u001b[0m     x: ArrayLike, out: ArrayLike, index: \u001b[38;5;28mslice\u001b[39m, lock: Any, return_stored: \u001b[38;5;28mbool\u001b[39m\n\u001b[1;32m   4365\u001b[0m ):\n\u001b[0;32m-> 4366\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m load_store_chunk(x, out, index, lock, return_stored, \u001b[38;5;28;01mFalse\u001b[39;00m)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/core.py:4348\u001b[0m, in \u001b[0;36mload_store_chunk\u001b[0;34m()\u001b[0m\n\u001b[1;32m   4346\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m x \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   4347\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m is_arraylike(x):\n\u001b[0;32m-> 4348\u001b[0m         out[index] \u001b[38;5;241m=\u001b[39m x\n\u001b[1;32m   4349\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   4350\u001b[0m         out[index] \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masanyarray(x)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zarr/core.py:1373\u001b[0m, in \u001b[0;36m__setitem__\u001b[0;34m()\u001b[0m\n\u001b[1;32m   1371\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvindex[selection] \u001b[38;5;241m=\u001b[39m value\n\u001b[1;32m   1372\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1373\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_basic_selection(pure_selection, value, fields\u001b[38;5;241m=\u001b[39mfields)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zarr/core.py:1468\u001b[0m, in \u001b[0;36mset_basic_selection\u001b[0;34m()\u001b[0m\n\u001b[1;32m   1466\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_basic_selection_zd(selection, value, fields\u001b[38;5;241m=\u001b[39mfields)\n\u001b[1;32m   1467\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1468\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_basic_selection_nd(selection, value, fields\u001b[38;5;241m=\u001b[39mfields)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zarr/core.py:1772\u001b[0m, in \u001b[0;36m_set_basic_selection_nd\u001b[0;34m()\u001b[0m\n\u001b[1;32m   1766\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_set_basic_selection_nd\u001b[39m(\u001b[38;5;28mself\u001b[39m, selection, value, fields\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m   1767\u001b[0m     \u001b[38;5;66;03m# implementation of __setitem__ for array with at least one dimension\u001b[39;00m\n\u001b[1;32m   1768\u001b[0m \n\u001b[1;32m   1769\u001b[0m     \u001b[38;5;66;03m# setup indexer\u001b[39;00m\n\u001b[1;32m   1770\u001b[0m     indexer \u001b[38;5;241m=\u001b[39m BasicIndexer(selection, \u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m-> 1772\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_selection(indexer, value, fields\u001b[38;5;241m=\u001b[39mfields)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zarr/core.py:1800\u001b[0m, in \u001b[0;36m_set_selection\u001b[0;34m()\u001b[0m\n\u001b[1;32m   1798\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(value, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mshape\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[1;32m   1799\u001b[0m         value \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masanyarray(value, like\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_meta_array)\n\u001b[0;32m-> 1800\u001b[0m     check_array_shape(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m'\u001b[39m, value, sel_shape)\n\u001b[1;32m   1802\u001b[0m \u001b[38;5;66;03m# iterate over chunks in range\u001b[39;00m\n\u001b[1;32m   1803\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstore, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msetitems\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_synchronizer \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \\\n\u001b[1;32m   1804\u001b[0m    \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28mmap\u001b[39m(\u001b[38;5;28;01mlambda\u001b[39;00m x: x \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mshape)):\n\u001b[1;32m   1805\u001b[0m     \u001b[38;5;66;03m# iterative approach\u001b[39;00m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zarr/util.py:547\u001b[0m, in \u001b[0;36mcheck_array_shape\u001b[0;34m()\u001b[0m\n\u001b[1;32m    544\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mparameter \u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m: expected an array-like object, got \u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m    545\u001b[0m                     \u001b[38;5;241m.\u001b[39mformat(param, \u001b[38;5;28mtype\u001b[39m(array)))\n\u001b[1;32m    546\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m array\u001b[38;5;241m.\u001b[39mshape \u001b[38;5;241m!=\u001b[39m shape:\n\u001b[0;32m--> 547\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mparameter \u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m: expected array with shape \u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m, got \u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m    548\u001b[0m                      \u001b[38;5;241m.\u001b[39mformat(param, shape, array\u001b[38;5;241m.\u001b[39mshape))\n",
      "\u001b[0;31mValueError\u001b[0m: parameter 'value': expected array with shape (35, 76, 105), got (1, 2, 2)"
     ]
    }
   ],
   "source": [
    "# Save downsampled label dataset\n",
    "save_directory = \"/Volumes/GENEVIEVE/Projects2023/OocyteProject/data-labelled/oocyte-mito-labels/\"\n",
    "save_filename = os.path.join(save_directory, \"oocyte-mito-labels-2nmVoxels.zarr\")\n",
    "mito_labels.to_zarr(save_filename)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "346a3077",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-01-12 13:51:28,779 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 5, 6, 2)\n",
      "Function:  execute_task\n",
      "args:      ((<function apply at 0x1038fb9d0>, <function coarsen at 0x10dc34700>, [<function mode at 0x10f5a8ca0>, (<function getitem at 0x10dc34e50>, array([[[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       ...,\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]\n",
      "kwargs:    {}\n",
      "Exception: \"ValueError('attempt to get argmax of an empty sequence')\"\n",
      "\n",
      "2023-01-12 13:51:28,786 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 5, 8, 8)\n",
      "Function:  execute_task\n",
      "args:      ((<function apply at 0x1051439d0>, <function coarsen at 0x117c034c0>, [<function mode at 0x130cf6f70>, (<function getitem at 0x117c03c10>, array([[[343, 343, 343, ...,   0,   0,   0],\n",
      "        [343, 343, 343, ...,   0,   0,   0],\n",
      "        [343, 343, 343, ...,   0,   0,   0],\n",
      "        ...,\n",
      "        [  0,   0,   0, ...,   0,   0,   0],\n",
      "        [  0,   0,   0, ...,   0,   0,   0],\n",
      "        [  0,   0,   0, ...,   0,   0,   0]],\n",
      "\n",
      "       [[343, 343, 343, ...,   0,   0,   0],\n",
      "        [343, 343, 343, ...,   0,   0,   0],\n",
      "        [343, 343, 343, ...,   0,   0,   0],\n",
      "        ...,\n",
      "        [  0,   0,   0, ...,   0,   0,   0],\n",
      "        [  0,   0,   0, ...,   0,   0,   0],\n",
      "        [  0,   0,   0, ...,   0,   0,   0]],\n",
      "\n",
      "       [[343, 343, 343, ...,   0,   0,   0],\n",
      "        [343, 343, 343, ...,   0,   0,   0],\n",
      "        [343, 343, 343, ...,   0,   0,   0],\n",
      "        ...,\n",
      "        [  0,   0,   0, ...,   0,   0,   0],\n",
      "        [  0,   0,   0, ...,   0,   0,   0],\n",
      "        [  0,   0,   0, ...,   0,   0,   0]],\n",
      "\n",
      "      \n",
      "kwargs:    {}\n",
      "Exception: \"ValueError('attempt to get argmax of an empty sequence')\"\n",
      "\n",
      "2023-01-12 13:51:28,832 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 1, 10, 1)\n",
      "Function:  execute_task\n",
      "args:      ((<function apply at 0x1059179d0>, <function coarsen at 0x123233700>, [<function mode at 0x127c78af0>, (<function getitem at 0x123233e50>, array([[[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       ...,\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]\n",
      "kwargs:    {}\n",
      "Exception: \"ValueError('attempt to get argmax of an empty sequence')\"\n",
      "\n",
      "2023-01-12 13:51:28,871 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 5, 1, 2)\n",
      "Function:  execute_task\n",
      "args:      ((<function apply at 0x1058679d0>, <function coarsen at 0x122833700>, [<function mode at 0x12428d310>, (<function getitem at 0x122833e50>, array([[[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       ...,\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]\n",
      "kwargs:    {}\n",
      "Exception: \"ValueError('attempt to get argmax of an empty sequence')\"\n",
      "\n",
      "2023-01-12 13:51:28,878 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 5, 3, 0)\n",
      "Function:  execute_task\n",
      "args:      ((<function apply at 0x1058679d0>, <function coarsen at 0x122833700>, [<function mode at 0x124326700>, (<function getitem at 0x122833e50>, array([[[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       ...,\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]\n",
      "kwargs:    {}\n",
      "Exception: \"ValueError('attempt to get argmax of an empty sequence')\"\n",
      "\n",
      "2023-01-12 13:51:28,929 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 5, 1, 6)\n",
      "Function:  execute_task\n",
      "args:      ((<function apply at 0x1038fb9d0>, <function coarsen at 0x10dc34700>, [<function mode at 0x10f5d6ee0>, (<function getitem at 0x10dc34e50>, array([[[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]],\n",
      "\n",
      "       ...,\n",
      "\n",
      "       [[0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        ...,\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0],\n",
      "        [0, 0, 0, ..., 0, 0, 0]\n",
      "kwargs:    {}\n",
      "Exception: \"ValueError('attempt to get argmax of an empty sequence')\"\n",
      "\n",
      "2023-01-12 13:51:29,089 - distributed.worker - ERROR - Exception during execution of task ('coarsen-fcfa589673e00a147db4ced802ce1c2a', 4, 6, 2).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 4, 6, 2)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 4, 6, 2)\"\n",
      "2023-01-12 13:51:29,089 - distributed.worker - ERROR - Exception during execution of task ('coarsen-fcfa589673e00a147db4ced802ce1c2a', 4, 1, 2).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 4, 1, 2)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 4, 1, 2)\"\n",
      "2023-01-12 13:51:29,091 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-06659c57bc95b31caf432efd69ce8550', 3, 9, 3).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "2023-01-12 13:51:29,091 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-06659c57bc95b31caf432efd69ce8550', 4, 6, 7).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "2023-01-12 13:51:29,094 - distributed.worker - ERROR - Exception during execution of task ('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 4, 3, 1).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('from-zarr-06659c57bc95b31caf432efd69ce8550', 4, 3, 1)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('from-zarr-06659c57bc95b31caf432efd69ce8550', 4, 3, 1)\"\n",
      "2023-01-12 13:51:29,095 - distributed.worker - ERROR - Exception during execution of task ('rechunk-merge-rechunk-split-coarsen-fcfa589673e00a147db4ced802ce1c2a', 5, 3, 1).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('from-zarr-06659c57bc95b31caf432efd69ce8550', 4, 3, 1)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('from-zarr-06659c57bc95b31caf432efd69ce8550', 4, 3, 1)\"\n",
      "2023-01-12 13:51:29,096 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-06659c57bc95b31caf432efd69ce8550', 0, 9, 5).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "2023-01-12 13:51:29,097 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-06659c57bc95b31caf432efd69ce8550', 4, 1, 8).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-06659c57bc95b31caf432efd69ce8550'\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "attempt to get argmax of an empty sequence",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Input \u001b[0;32mIn [14]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# move dataset to in memory\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m mito_labels \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdownsampled\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28mtype\u001b[39m(mito_labels))\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28mprint\u001b[39m(mito_labels\u001b[38;5;241m.\u001b[39mshape)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/core.py:1700\u001b[0m, in \u001b[0;36mArray.__array__\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m   1699\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 1700\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1701\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m dtype \u001b[38;5;129;01mand\u001b[39;00m x\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m!=\u001b[39m dtype:\n\u001b[1;32m   1702\u001b[0m         x \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mastype(dtype)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/base.py:315\u001b[0m, in \u001b[0;36mDaskMethodsMixin.compute\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    291\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcompute\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m    292\u001b[0m     \u001b[38;5;124;03m\"\"\"Compute this dask collection\u001b[39;00m\n\u001b[1;32m    293\u001b[0m \n\u001b[1;32m    294\u001b[0m \u001b[38;5;124;03m    This turns a lazy Dask collection into its in-memory equivalent.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    313\u001b[0m \u001b[38;5;124;03m    dask.base.compute\u001b[39;00m\n\u001b[1;32m    314\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 315\u001b[0m     (result,) \u001b[38;5;241m=\u001b[39m \u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtraverse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    316\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/base.py:600\u001b[0m, in \u001b[0;36mcompute\u001b[0;34m(traverse, optimize_graph, scheduler, get, *args, **kwargs)\u001b[0m\n\u001b[1;32m    597\u001b[0m     keys\u001b[38;5;241m.\u001b[39mappend(x\u001b[38;5;241m.\u001b[39m__dask_keys__())\n\u001b[1;32m    598\u001b[0m     postcomputes\u001b[38;5;241m.\u001b[39mappend(x\u001b[38;5;241m.\u001b[39m__dask_postcompute__())\n\u001b[0;32m--> 600\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43mschedule\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    601\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m repack([f(r, \u001b[38;5;241m*\u001b[39ma) \u001b[38;5;28;01mfor\u001b[39;00m r, (f, a) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(results, postcomputes)])\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/client.py:3122\u001b[0m, in \u001b[0;36mClient.get\u001b[0;34m(self, dsk, keys, workers, allow_other_workers, resources, sync, asynchronous, direct, retries, priority, fifo_timeout, actors, **kwargs)\u001b[0m\n\u001b[1;32m   3120\u001b[0m         should_rejoin \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m   3121\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3122\u001b[0m     results \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgather\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpacked\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43masynchronous\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43masynchronous\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdirect\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3123\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m   3124\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m f \u001b[38;5;129;01min\u001b[39;00m futures\u001b[38;5;241m.\u001b[39mvalues():\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/client.py:2291\u001b[0m, in \u001b[0;36mClient.gather\u001b[0;34m(self, futures, errors, direct, asynchronous)\u001b[0m\n\u001b[1;32m   2289\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   2290\u001b[0m     local_worker \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 2291\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   2292\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_gather\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2293\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2294\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2295\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdirect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2296\u001b[0m \u001b[43m    \u001b[49m\u001b[43mlocal_worker\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlocal_worker\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2297\u001b[0m \u001b[43m    \u001b[49m\u001b[43masynchronous\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43masynchronous\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2298\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/utils.py:339\u001b[0m, in \u001b[0;36mSyncMethodMixin.sync\u001b[0;34m(self, func, asynchronous, callback_timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m    337\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m future\n\u001b[1;32m    338\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 339\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    340\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallback_timeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallback_timeout\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m    341\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/utils.py:406\u001b[0m, in \u001b[0;36msync\u001b[0;34m(loop, func, callback_timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m    404\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m error:\n\u001b[1;32m    405\u001b[0m     typ, exc, tb \u001b[38;5;241m=\u001b[39m error\n\u001b[0;32m--> 406\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mwith_traceback(tb)\n\u001b[1;32m    407\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    408\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/utils.py:379\u001b[0m, in \u001b[0;36msync.<locals>.f\u001b[0;34m()\u001b[0m\n\u001b[1;32m    377\u001b[0m         future \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mwait_for(future, callback_timeout)\n\u001b[1;32m    378\u001b[0m     future \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mensure_future(future)\n\u001b[0;32m--> 379\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01myield\u001b[39;00m future\n\u001b[1;32m    380\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m    381\u001b[0m     error \u001b[38;5;241m=\u001b[39m sys\u001b[38;5;241m.\u001b[39mexc_info()\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/tornado/gen.py:762\u001b[0m, in \u001b[0;36mRunner.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    759\u001b[0m exc_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    761\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 762\u001b[0m     value \u001b[38;5;241m=\u001b[39m \u001b[43mfuture\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    763\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m    764\u001b[0m     exc_info \u001b[38;5;241m=\u001b[39m sys\u001b[38;5;241m.\u001b[39mexc_info()\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/client.py:2154\u001b[0m, in \u001b[0;36mClient._gather\u001b[0;34m(self, futures, errors, direct, local_worker)\u001b[0m\n\u001b[1;32m   2152\u001b[0m         exc \u001b[38;5;241m=\u001b[39m CancelledError(key)\n\u001b[1;32m   2153\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 2154\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m exception\u001b[38;5;241m.\u001b[39mwith_traceback(traceback)\n\u001b[1;32m   2155\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[1;32m   2156\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m errors \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mskip\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/utils.py:71\u001b[0m, in \u001b[0;36mapply\u001b[0;34m()\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[38;5;124;03m\"\"\"Apply a function given its positional and keyword arguments.\u001b[39;00m\n\u001b[1;32m     41\u001b[0m \n\u001b[1;32m     42\u001b[0m \u001b[38;5;124;03mEquivalent to ``func(*args, **kwargs)``\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     68\u001b[0m \u001b[38;5;124;03m>>> dsk = {'task-name': task}  # adds the task to a low level Dask task graph\u001b[39;00m\n\u001b[1;32m     69\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     70\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kwargs:\n\u001b[0;32m---> 71\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m     72\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     73\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/chunk.py:136\u001b[0m, in \u001b[0;36mcoarsen\u001b[0;34m()\u001b[0m\n\u001b[1;32m    133\u001b[0m \u001b[38;5;66;03m# (10, 10) -> (5, 2, 5, 2)\u001b[39;00m\n\u001b[1;32m    134\u001b[0m newshape \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(concat([(x\u001b[38;5;241m.\u001b[39mshape[i] \u001b[38;5;241m/\u001b[39m\u001b[38;5;241m/\u001b[39m axes[i], axes[i]) \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(x\u001b[38;5;241m.\u001b[39mndim)]))\n\u001b[0;32m--> 136\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m reduction(x\u001b[38;5;241m.\u001b[39mreshape(newshape), axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mtuple\u001b[39m(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, x\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m2\u001b[39m)), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "Input \u001b[0;32mIn [8]\u001b[0m, in \u001b[0;36mmode\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmode\u001b[39m(array, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m      3\u001b[0m     vals, counts \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39munique(array, return_counts\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m----> 4\u001b[0m     mode_value \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39margmax(counts)\n\u001b[1;32m      5\u001b[0m     \u001b[38;5;66;03m# tie breaker chooses the lowest integer (zero, in most cases)\u001b[39;00m\n\u001b[1;32m      6\u001b[0m     mode_value \u001b[38;5;241m=\u001b[39m vals[np\u001b[38;5;241m.\u001b[39margmax(counts)]\n",
      "File \u001b[0;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36margmax\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/numpy/core/fromnumeric.py:1216\u001b[0m, in \u001b[0;36margmax\u001b[0;34m()\u001b[0m\n\u001b[1;32m   1129\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1130\u001b[0m \u001b[38;5;124;03mReturns the indices of the maximum values along an axis.\u001b[39;00m\n\u001b[1;32m   1131\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1213\u001b[0m \u001b[38;5;124;03m(2, 1, 4)\u001b[39;00m\n\u001b[1;32m   1214\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1215\u001b[0m kwds \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mkeepdims\u001b[39m\u001b[38;5;124m'\u001b[39m: keepdims} \u001b[38;5;28;01mif\u001b[39;00m keepdims \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39m_NoValue \u001b[38;5;28;01melse\u001b[39;00m {}\n\u001b[0;32m-> 1216\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _wrapfunc(a, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124margmax\u001b[39m\u001b[38;5;124m'\u001b[39m, axis\u001b[38;5;241m=\u001b[39maxis, out\u001b[38;5;241m=\u001b[39mout, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/numpy/core/fromnumeric.py:57\u001b[0m, in \u001b[0;36m_wrapfunc\u001b[0;34m()\u001b[0m\n\u001b[1;32m     54\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m _wrapit(obj, method, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[1;32m     56\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 57\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m bound(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[1;32m     58\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m     59\u001b[0m     \u001b[38;5;66;03m# A TypeError occurs if the object does have such a method in its\u001b[39;00m\n\u001b[1;32m     60\u001b[0m     \u001b[38;5;66;03m# class, but its signature is not identical to that of NumPy's. This\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     64\u001b[0m     \u001b[38;5;66;03m# Call _wrapit from within the except clause to ensure a potential\u001b[39;00m\n\u001b[1;32m     65\u001b[0m     \u001b[38;5;66;03m# exception has a traceback chain.\u001b[39;00m\n\u001b[1;32m     66\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m _wrapit(obj, method, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n",
      "\u001b[0;31mValueError\u001b[0m: attempt to get argmax of an empty sequence"
     ]
    }
   ],
   "source": [
    "# move dataset to in memory\n",
    "mito_labels = np.asarray(downsampled)\n",
    "print(type(mito_labels))\n",
    "print(mito_labels.shape)\n",
    "print('Done')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "d7aba3a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x29ddbe790>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(mito_labels[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "9a08cbcc",
   "metadata": {},
   "outputs": [],
   "source": [
    "mito_labels = mito_labels.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "5c4e54e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Labels layer 'mito_labels' at 0x29e22b5e0>"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "viewer.add_labels(mito_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "1cf12152",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dask.array.core.Array"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(mito_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a3b61e2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "51b438c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous shape: (1165, 2355, 3494)\n",
      "downsampled shape: (582, 1177, 1747)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.92 GiB </td>\n",
       "                        <td> 16.00 MiB </td>\n",
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       "</table>"
      ],
      "text/plain": [
       "dask.array<coarsen, shape=(582, 1177, 1747), dtype=float64, chunksize=(128, 128, 128), chunktype=numpy.ndarray>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# downsample_factor = 2\n",
    "# axes = {0: downsample_factor, 1: downsample_factor, 2: downsample_factor}\n",
    "# print(\"previous shape:\", image.shape)  # (1165, 2355, 3494)\n",
    "# downsampled = da.coarsen(np.median, image, axes, trim_excess=True)\n",
    "\n",
    "# print(\"downsampled shape:\", downsampled.shape)\n",
    "# downsampled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "f6f1b557",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-01-12 12:45:03,112 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('getitem-70dc12bbac69c2f8e1e987a1f3664c07', 6, 12)\n",
      "Function:  getitem\n",
      "args:      (0, (0, slice(None, None, None), slice(None, None, None)))\n",
      "kwargs:    {}\n",
      "Exception: \"ValueError('Array chunk size or shape is unknown. Possible solution with x.compute_chunk_sizes()')\"\n",
      "\n",
      "2023-01-12 12:45:03,207 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('getitem-70dc12bbac69c2f8e1e987a1f3664c07', 8, 2)\n",
      "Function:  getitem\n",
      "args:      (0, (0, slice(None, None, None), slice(None, None, None)))\n",
      "kwargs:    {}\n",
      "Exception: \"ValueError('Array chunk size or shape is unknown. Possible solution with x.compute_chunk_sizes()')\"\n",
      "\n",
      "2023-01-12 12:45:03,300 - distributed.worker - WARNING - Compute Failed\n",
      "Key:       ('getitem-70dc12bbac69c2f8e1e987a1f3664c07', 3, 3)\n",
      "Function:  getitem\n",
      "args:      (0, (0, slice(None, None, None), slice(None, None, None)))\n",
      "kwargs:    {}\n",
      "Exception: \"ValueError('Array chunk size or shape is unknown. Possible solution with x.compute_chunk_sizes()')\"\n",
      "\n",
      "2023-01-12 12:45:03,334 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-71d2c6010038070a3ac4b4bb63d4b660', 0, 2, 0).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-71d2c6010038070a3ac4b4bb63d4b660'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-71d2c6010038070a3ac4b4bb63d4b660'\n",
      "2023-01-12 12:45:03,337 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-71d2c6010038070a3ac4b4bb63d4b660', 0, 1, 2).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-71d2c6010038070a3ac4b4bb63d4b660'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-71d2c6010038070a3ac4b4bb63d4b660'\n",
      "2023-01-12 12:45:03,339 - distributed.worker - ERROR - Exception during execution of task ('coarsen-fe74df233005ce504eb221dbb8d0ec51', 0, 1, 4).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('rechunk-merge-efa4b07a9f738039b3875df8bbdd7c92', 0, 1, 4)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('rechunk-merge-efa4b07a9f738039b3875df8bbdd7c92', 0, 1, 4)\"\n",
      "2023-01-12 12:45:03,340 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-71d2c6010038070a3ac4b4bb63d4b660', 0, 1, 5).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-71d2c6010038070a3ac4b4bb63d4b660'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-71d2c6010038070a3ac4b4bb63d4b660'\n",
      "2023-01-12 12:45:03,386 - distributed.worker - ERROR - Exception during execution of task ('coarsen-fe74df233005ce504eb221dbb8d0ec51', 0, 3, 0).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: \"('rechunk-merge-efa4b07a9f738039b3875df8bbdd7c92', 0, 3, 0)\"\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: \"('rechunk-merge-efa4b07a9f738039b3875df8bbdd7c92', 0, 3, 0)\"\n",
      "2023-01-12 12:45:03,386 - distributed.worker - ERROR - Exception during execution of task ('from-zarr-71d2c6010038070a3ac4b4bb63d4b660', 0, 2, 8).\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2351, in _prepare_args_for_execution\n",
      "    data[k] = self.data[k]\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/zict/buffer.py\", line 108, in __getitem__\n",
      "    raise KeyError(key)\n",
      "KeyError: 'original-from-zarr-71d2c6010038070a3ac4b4bb63d4b660'\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2233, in execute\n",
      "    args2, kwargs2 = self._prepare_args_for_execution(ts, args, kwargs)\n",
      "  File \"/Users/genevieb/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/worker.py\", line 2355, in _prepare_args_for_execution\n",
      "    data[k] = Actor(type(self.state.actors[k]), self.address, k, self)\n",
      "KeyError: 'original-from-zarr-71d2c6010038070a3ac4b4bb63d4b660'\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "Array chunk size or shape is unknown. Possible solution with x.compute_chunk_sizes()",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/chunk.py:418\u001b[0m, in \u001b[0;36mgetitem\u001b[0;34m()\u001b[0m\n\u001b[1;32m    417\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 418\u001b[0m     result \u001b[38;5;241m=\u001b[39m obj[index]\n\u001b[1;32m    419\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
      "\u001b[0;31mIndexError\u001b[0m: invalid index to scalar variable.",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Input \u001b[0;32mIn [33]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mviewer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_labels\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdownsampled2\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/components/viewer_model.py:4\u001b[0m, in \u001b[0;36madd_labels\u001b[0;34m(self, data, num_colors, features, properties, color, seed, name, metadata, scale, translate, rotate, shear, affine, opacity, blending, rendering, depiction, visible, multiscale, cache, plane, experimental_clipping_planes)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m__future__\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m annotations\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01minspect\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mitertools\u001b[39;00m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mos\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mwarnings\u001b[39;00m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/labels/labels.py:247\u001b[0m, in \u001b[0;36mLabels.__init__\u001b[0;34m(self, data, num_colors, features, properties, color, seed, name, metadata, scale, translate, rotate, shear, affine, opacity, blending, rendering, depiction, visible, multiscale, cache, plane, experimental_clipping_planes)\u001b[0m\n\u001b[1;32m    244\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_ensure_int_labels(data)\n\u001b[1;32m    245\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_color_lookup_func \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 247\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m    248\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    249\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrgb\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    250\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcolormap\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_random_colormap\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    251\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcontrast_limits\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1.0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    252\u001b[0m \u001b[43m    \u001b[49m\u001b[43minterpolation2d\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mnearest\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    253\u001b[0m \u001b[43m    \u001b[49m\u001b[43minterpolation3d\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mnearest\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    254\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrendering\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrendering\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    255\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdepiction\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdepiction\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    256\u001b[0m \u001b[43m    \u001b[49m\u001b[43miso_threshold\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    257\u001b[0m \u001b[43m    \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    258\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    259\u001b[0m \u001b[43m    \u001b[49m\u001b[43mscale\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mscale\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    260\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtranslate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtranslate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    261\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrotate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrotate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    262\u001b[0m \u001b[43m    \u001b[49m\u001b[43mshear\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mshear\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    263\u001b[0m \u001b[43m    \u001b[49m\u001b[43maffine\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maffine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    264\u001b[0m \u001b[43m    \u001b[49m\u001b[43mopacity\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mopacity\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    265\u001b[0m \u001b[43m    \u001b[49m\u001b[43mblending\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mblending\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    266\u001b[0m \u001b[43m    \u001b[49m\u001b[43mvisible\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvisible\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    267\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmultiscale\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmultiscale\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    268\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcache\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    269\u001b[0m \u001b[43m    \u001b[49m\u001b[43mplane\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mplane\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    270\u001b[0m \u001b[43m    \u001b[49m\u001b[43mexperimental_clipping_planes\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexperimental_clipping_planes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    271\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    273\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mevents\u001b[38;5;241m.\u001b[39madd(\n\u001b[1;32m    274\u001b[0m     preserve_labels\u001b[38;5;241m=\u001b[39mEvent,\n\u001b[1;32m    275\u001b[0m     properties\u001b[38;5;241m=\u001b[39mEvent,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    284\u001b[0m     paint\u001b[38;5;241m=\u001b[39mEvent,\n\u001b[1;32m    285\u001b[0m )\n\u001b[1;32m    287\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_feature_table \u001b[38;5;241m=\u001b[39m _FeatureTable\u001b[38;5;241m.\u001b[39mfrom_layer(\n\u001b[1;32m    288\u001b[0m     features\u001b[38;5;241m=\u001b[39mfeatures, properties\u001b[38;5;241m=\u001b[39mproperties\n\u001b[1;32m    289\u001b[0m )\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/utils/migrations.py:44\u001b[0m, in \u001b[0;36mrename_argument.<locals>._wrapper.<locals>._update_from_dict\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     42\u001b[0m     kwargs \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m     43\u001b[0m     kwargs[to_name] \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(from_name)\n\u001b[0;32m---> 44\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/image/image.py:378\u001b[0m, in \u001b[0;36m_ImageBase.__init__\u001b[0;34m(self, data, rgb, colormap, contrast_limits, gamma, interpolation2d, interpolation3d, rendering, iso_threshold, attenuation, name, metadata, scale, translate, rotate, shear, affine, opacity, blending, visible, multiscale, cache, depiction, plane, experimental_clipping_planes)\u001b[0m\n\u001b[1;32m    375\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mplane \u001b[38;5;241m=\u001b[39m plane\n\u001b[1;32m    377\u001b[0m \u001b[38;5;66;03m# Trigger generation of view slice and thumbnail\u001b[39;00m\n\u001b[0;32m--> 378\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_dims\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/base/base.py:705\u001b[0m, in \u001b[0;36mLayer._update_dims\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m    702\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mextent\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__dict__\u001b[39m:\n\u001b[1;32m    703\u001b[0m     \u001b[38;5;28;01mdel\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mextent\n\u001b[0;32m--> 705\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrefresh\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/base/base.py:1209\u001b[0m, in \u001b[0;36mLayer.refresh\u001b[0;34m(self, event)\u001b[0m\n\u001b[1;32m   1207\u001b[0m \u001b[38;5;124;03m\"\"\"Refresh all layer data based on current view slice.\"\"\"\u001b[39;00m\n\u001b[1;32m   1208\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvisible:\n\u001b[0;32m-> 1209\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_view_slice\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1210\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mevents\u001b[38;5;241m.\u001b[39mset_data()  \u001b[38;5;66;03m# refresh is called in _update_dims which means that extent cache is invalidated. Then, base on this event extent cache in layerlist is invalidated.\u001b[39;00m\n\u001b[1;32m   1211\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_thumbnail()\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/base/base.py:959\u001b[0m, in \u001b[0;36mLayer.set_view_slice\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    957\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mset_view_slice\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    958\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdask_optimized_slicing():\n\u001b[0;32m--> 959\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_set_view_slice\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/image/image.py:822\u001b[0m, in \u001b[0;36m_ImageBase._set_view_slice\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    818\u001b[0m \u001b[38;5;66;03m# Load our images, might be sync or async.\u001b[39;00m\n\u001b[1;32m    819\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_SliceDataClass(\n\u001b[1;32m    820\u001b[0m     \u001b[38;5;28mself\u001b[39m, image_indices, image, thumbnail_source\n\u001b[1;32m    821\u001b[0m )\n\u001b[0;32m--> 822\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_load_slice\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    823\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_calc_clims:\n\u001b[1;32m    824\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreset_contrast_limits_range()\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/image/image.py:846\u001b[0m, in \u001b[0;36m_ImageBase._load_slice\u001b[0;34m(self, data)\u001b[0m\n\u001b[1;32m    839\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_load_slice\u001b[39m(\u001b[38;5;28mself\u001b[39m, data: ImageSliceData):\n\u001b[1;32m    840\u001b[0m     \u001b[38;5;124;03m\"\"\"Load the image and maybe thumbnail source.\u001b[39;00m\n\u001b[1;32m    841\u001b[0m \n\u001b[1;32m    842\u001b[0m \u001b[38;5;124;03m    Parameters\u001b[39;00m\n\u001b[1;32m    843\u001b[0m \u001b[38;5;124;03m    ----------\u001b[39;00m\n\u001b[1;32m    844\u001b[0m \u001b[38;5;124;03m    data : Slice\u001b[39;00m\n\u001b[1;32m    845\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 846\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_slice\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m    847\u001b[0m         \u001b[38;5;66;03m# The load was synchronous.\u001b[39;00m\n\u001b[1;32m    848\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_on_data_loaded(data, sync\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m    849\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    850\u001b[0m         \u001b[38;5;66;03m# The load will be asynchronous. Signal that our self.loaded\u001b[39;00m\n\u001b[1;32m    851\u001b[0m         \u001b[38;5;66;03m# property is now false, since the load is in progress.\u001b[39;00m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/image/_image_slice.py:123\u001b[0m, in \u001b[0;36mImageSlice.load\u001b[0;34m(self, data)\u001b[0m\n\u001b[1;32m    110\u001b[0m \u001b[38;5;124;03m\"\"\"Load this data into the slice.\u001b[39;00m\n\u001b[1;32m    111\u001b[0m \n\u001b[1;32m    112\u001b[0m \u001b[38;5;124;03mParameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    120\u001b[0m \u001b[38;5;124;03m    Return True if load was synchronous.\u001b[39;00m\n\u001b[1;32m    121\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    122\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloaded \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m  \u001b[38;5;66;03m# False until self._on_loaded is calls\u001b[39;00m\n\u001b[0;32m--> 123\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloader\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/image/_image_loader.py:22\u001b[0m, in \u001b[0;36mImageLoader.load\u001b[0;34m(self, data)\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload\u001b[39m(\u001b[38;5;28mself\u001b[39m, data: ImageSliceData) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mbool\u001b[39m:\n\u001b[1;32m     10\u001b[0m     \u001b[38;5;124;03m\"\"\"Load the ImageSliceData synchronously.\u001b[39;00m\n\u001b[1;32m     11\u001b[0m \n\u001b[1;32m     12\u001b[0m \u001b[38;5;124;03m    Parameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     20\u001b[0m \u001b[38;5;124;03m        True if load happened synchronously.\u001b[39;00m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m---> 22\u001b[0m     \u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_sync\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     23\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/napari/layers/image/_image_slice_data.py:44\u001b[0m, in \u001b[0;36mImageSliceData.load_sync\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     42\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload_sync\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     43\u001b[0m     \u001b[38;5;124;03m\"\"\"Call asarray on our images to load them.\"\"\"\u001b[39;00m\n\u001b[0;32m---> 44\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mimage \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimage\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     46\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mthumbnail_source \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     47\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mthumbnail_source \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masarray(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mthumbnail_source)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/core.py:1700\u001b[0m, in \u001b[0;36mArray.__array__\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m   1699\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 1700\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1701\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m dtype \u001b[38;5;129;01mand\u001b[39;00m x\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m!=\u001b[39m dtype:\n\u001b[1;32m   1702\u001b[0m         x \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mastype(dtype)\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/base.py:315\u001b[0m, in \u001b[0;36mDaskMethodsMixin.compute\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    291\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcompute\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m    292\u001b[0m     \u001b[38;5;124;03m\"\"\"Compute this dask collection\u001b[39;00m\n\u001b[1;32m    293\u001b[0m \n\u001b[1;32m    294\u001b[0m \u001b[38;5;124;03m    This turns a lazy Dask collection into its in-memory equivalent.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    313\u001b[0m \u001b[38;5;124;03m    dask.base.compute\u001b[39;00m\n\u001b[1;32m    314\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 315\u001b[0m     (result,) \u001b[38;5;241m=\u001b[39m \u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtraverse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    316\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/base.py:600\u001b[0m, in \u001b[0;36mcompute\u001b[0;34m(traverse, optimize_graph, scheduler, get, *args, **kwargs)\u001b[0m\n\u001b[1;32m    597\u001b[0m     keys\u001b[38;5;241m.\u001b[39mappend(x\u001b[38;5;241m.\u001b[39m__dask_keys__())\n\u001b[1;32m    598\u001b[0m     postcomputes\u001b[38;5;241m.\u001b[39mappend(x\u001b[38;5;241m.\u001b[39m__dask_postcompute__())\n\u001b[0;32m--> 600\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43mschedule\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    601\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m repack([f(r, \u001b[38;5;241m*\u001b[39ma) \u001b[38;5;28;01mfor\u001b[39;00m r, (f, a) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(results, postcomputes)])\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/client.py:3122\u001b[0m, in \u001b[0;36mClient.get\u001b[0;34m(self, dsk, keys, workers, allow_other_workers, resources, sync, asynchronous, direct, retries, priority, fifo_timeout, actors, **kwargs)\u001b[0m\n\u001b[1;32m   3120\u001b[0m         should_rejoin \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m   3121\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3122\u001b[0m     results \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgather\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpacked\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43masynchronous\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43masynchronous\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdirect\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3123\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m   3124\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m f \u001b[38;5;129;01min\u001b[39;00m futures\u001b[38;5;241m.\u001b[39mvalues():\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/client.py:2291\u001b[0m, in \u001b[0;36mClient.gather\u001b[0;34m(self, futures, errors, direct, asynchronous)\u001b[0m\n\u001b[1;32m   2289\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   2290\u001b[0m     local_worker \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 2291\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   2292\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_gather\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2293\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2294\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2295\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdirect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2296\u001b[0m \u001b[43m    \u001b[49m\u001b[43mlocal_worker\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlocal_worker\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2297\u001b[0m \u001b[43m    \u001b[49m\u001b[43masynchronous\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43masynchronous\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2298\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/utils.py:339\u001b[0m, in \u001b[0;36mSyncMethodMixin.sync\u001b[0;34m(self, func, asynchronous, callback_timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m    337\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m future\n\u001b[1;32m    338\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 339\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    340\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallback_timeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallback_timeout\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m    341\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/utils.py:406\u001b[0m, in \u001b[0;36msync\u001b[0;34m(loop, func, callback_timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m    404\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m error:\n\u001b[1;32m    405\u001b[0m     typ, exc, tb \u001b[38;5;241m=\u001b[39m error\n\u001b[0;32m--> 406\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mwith_traceback(tb)\n\u001b[1;32m    407\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    408\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/utils.py:379\u001b[0m, in \u001b[0;36msync.<locals>.f\u001b[0;34m()\u001b[0m\n\u001b[1;32m    377\u001b[0m         future \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mwait_for(future, callback_timeout)\n\u001b[1;32m    378\u001b[0m     future \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mensure_future(future)\n\u001b[0;32m--> 379\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01myield\u001b[39;00m future\n\u001b[1;32m    380\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m    381\u001b[0m     error \u001b[38;5;241m=\u001b[39m sys\u001b[38;5;241m.\u001b[39mexc_info()\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/tornado/gen.py:762\u001b[0m, in \u001b[0;36mRunner.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    759\u001b[0m exc_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    761\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 762\u001b[0m     value \u001b[38;5;241m=\u001b[39m \u001b[43mfuture\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    763\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m    764\u001b[0m     exc_info \u001b[38;5;241m=\u001b[39m sys\u001b[38;5;241m.\u001b[39mexc_info()\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/distributed/client.py:2154\u001b[0m, in \u001b[0;36mClient._gather\u001b[0;34m(self, futures, errors, direct, local_worker)\u001b[0m\n\u001b[1;32m   2152\u001b[0m         exc \u001b[38;5;241m=\u001b[39m CancelledError(key)\n\u001b[1;32m   2153\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 2154\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m exception\u001b[38;5;241m.\u001b[39mwith_traceback(traceback)\n\u001b[1;32m   2155\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[1;32m   2156\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m errors \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mskip\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
      "File \u001b[0;32m~/mambaforge/envs/zarpaint-dev/lib/python3.9/site-packages/dask/array/chunk.py:420\u001b[0m, in \u001b[0;36mgetitem\u001b[0;34m()\u001b[0m\n\u001b[1;32m    418\u001b[0m     result \u001b[38;5;241m=\u001b[39m obj[index]\n\u001b[1;32m    419\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 420\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    421\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mArray chunk size or shape is unknown. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    422\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPossible solution with x.compute_chunk_sizes()\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    423\u001b[0m     ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m    425\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    426\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m result\u001b[38;5;241m.\u001b[39mflags\u001b[38;5;241m.\u001b[39mowndata \u001b[38;5;129;01mand\u001b[39;00m obj\u001b[38;5;241m.\u001b[39msize \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m result\u001b[38;5;241m.\u001b[39msize:\n",
      "\u001b[0;31mValueError\u001b[0m: Array chunk size or shape is unknown. Possible solution with x.compute_chunk_sizes()"
     ]
    }
   ],
   "source": [
    "viewer.add_labels(downsampled2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3d5500a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "546c155c",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.SpatialImage &#x27;image&#x27; (z: 1165, y: 2355, x: 3494)&gt;\n",
       "dask.array&lt;from-zarr, shape=(1165, 2355, 3494), dtype=int32, chunksize=(256, 256, 256), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * z        (z) float64 0.0 1.0 2.0 3.0 ... 1.162e+03 1.163e+03 1.164e+03\n",
       "  * y        (y) float64 0.0 1.0 2.0 3.0 ... 2.352e+03 2.353e+03 2.354e+03\n",
       "  * x        (x) float64 0.0 1.0 2.0 3.0 ... 3.491e+03 3.492e+03 3.493e+03</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.SpatialImage</div><div class='xr-array-name'>'image'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>z</span>: 1165</li><li><span class='xr-has-index'>y</span>: 2355</li><li><span class='xr-has-index'>x</span>: 3494</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e147ac02-8158-4def-b4e6-2bc91928854e' class='xr-array-in' type='checkbox' checked><label for='section-e147ac02-8158-4def-b4e6-2bc91928854e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(256, 256, 256), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
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       "                    \n",
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       "                        <td colspan=\"2\"> int32 numpy.ndarray </td>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-b764a2dd-3c18-4772-8c49-b3ec1e0df0cb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b764a2dd-3c18-4772-8c49-b3ec1e0df0cb' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 1.163e+03 1.164e+03</div><input id='attrs-f510ea46-142b-4842-9c71-302c5d444d1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f510ea46-142b-4842-9c71-302c5d444d1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8005c79e-d433-411c-9eda-fcb5917bc5ed' class='xr-var-data-in' type='checkbox'><label for='data-8005c79e-d433-411c-9eda-fcb5917bc5ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e+00, 2.000e+00, ..., 1.162e+03, 1.163e+03, 1.164e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 2.353e+03 2.354e+03</div><input id='attrs-8dcf6965-42da-4673-8e8d-1660792b0b6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dcf6965-42da-4673-8e8d-1660792b0b6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38a4f92c-2525-41df-92ff-3224299f9a9b' class='xr-var-data-in' type='checkbox'><label for='data-38a4f92c-2525-41df-92ff-3224299f9a9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e+00, 2.000e+00, ..., 2.352e+03, 2.353e+03, 2.354e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 3.492e+03 3.493e+03</div><input id='attrs-988be582-8529-46eb-8883-f0996566be96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-988be582-8529-46eb-8883-f0996566be96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b650b4b-81ba-4dcb-b581-610dc9d42436' class='xr-var-data-in' type='checkbox'><label for='data-7b650b4b-81ba-4dcb-b581-610dc9d42436' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x</dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e+00, 2.000e+00, ..., 3.491e+03, 3.492e+03, 3.493e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4c1cd23b-c9b8-4011-9531-24ec6d3d5158' class='xr-section-summary-in' type='checkbox'  ><label for='section-4c1cd23b-c9b8-4011-9531-24ec6d3d5158' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-474e55ca-2526-457c-862a-e506836e7016' class='xr-index-data-in' type='checkbox'/><label for='index-474e55ca-2526-457c-862a-e506836e7016' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,    1.0,    2.0,    3.0,    4.0,    5.0,    6.0,    7.0,\n",
       "                 8.0,    9.0,\n",
       "              ...\n",
       "              1155.0, 1156.0, 1157.0, 1158.0, 1159.0, 1160.0, 1161.0, 1162.0,\n",
       "              1163.0, 1164.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;z&#x27;, length=1165))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8579c70d-fa72-46d1-8c45-8237a1ffb676' class='xr-index-data-in' type='checkbox'/><label for='index-8579c70d-fa72-46d1-8c45-8237a1ffb676' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,    1.0,    2.0,    3.0,    4.0,    5.0,    6.0,    7.0,\n",
       "                 8.0,    9.0,\n",
       "              ...\n",
       "              2345.0, 2346.0, 2347.0, 2348.0, 2349.0, 2350.0, 2351.0, 2352.0,\n",
       "              2353.0, 2354.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=2355))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b9acc9a7-6a34-4610-be56-c83494fdc94a' class='xr-index-data-in' type='checkbox'/><label for='index-b9acc9a7-6a34-4610-be56-c83494fdc94a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,    1.0,    2.0,    3.0,    4.0,    5.0,    6.0,    7.0,\n",
       "                 8.0,    9.0,\n",
       "              ...\n",
       "              3484.0, 3485.0, 3486.0, 3487.0, 3488.0, 3489.0, 3490.0, 3491.0,\n",
       "              3492.0, 3493.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=3494))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-683e97b3-4205-48dd-9463-4020faaeb8cd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-683e97b3-4205-48dd-9463-4020faaeb8cd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.SpatialImage 'image' (z: 1165, y: 2355, x: 3494)>\n",
       "dask.array<from-zarr, shape=(1165, 2355, 3494), dtype=int32, chunksize=(256, 256, 256), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * z        (z) float64 0.0 1.0 2.0 3.0 ... 1.162e+03 1.163e+03 1.164e+03\n",
       "  * y        (y) float64 0.0 1.0 2.0 3.0 ... 2.352e+03 2.353e+03 2.354e+03\n",
       "  * x        (x) float64 0.0 1.0 2.0 3.0 ... 3.491e+03 3.492e+03 3.493e+03"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image = to_spatial_image(image)\n",
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8e0bb46d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "spatial_image.SpatialImage"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6300de2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ecb7e95f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# # dies, too much memory required (Mac)\n",
    "# multiscale = to_multiscale(image, [2, 2], method=Methods.DASK_IMAGE_NEAREST)\n",
    "# multiscale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3f91a06e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a0750c7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-01-12 12:19:54,941 - distributed.client - ERROR - Failed to reconnect to scheduler after 30.00 seconds, closing client\n"
     ]
    }
   ],
   "source": [
    "# Shutdown procedure\n",
    "try:\n",
    "    viewer.close()\n",
    "try:\n",
    "    client.shutdown()"
   ]
  }
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