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finding-edge-cases.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "c4abc9d1",
"metadata": {},
"outputs": [],
"source": [
"from itertools import chain\n",
"from pathlib import Path\n",
"import tempfile\n",
"\n",
"import dask\n",
"from dask.distributed import Client, LocalCluster\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import skimage\n",
"from scipy import ndimage\n",
"import fsspec"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "672a0dda",
"metadata": {},
"outputs": [],
"source": [
"client = Client()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "accf4a32",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-5f331460-2215-11f0-8b4b-023ca6c22285</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",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
" </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;\">73f44f13</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> 8\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 32\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 123.85 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-ec2961a3-3338-4c97-9c43-82d80e78dfd2</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm:</strong> tcp://127.0.0.1:45245\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 8\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> 32\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> 123.85 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",
" <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: 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://127.0.0.1:44583\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:44109/status\" target=\"_blank\">http://127.0.0.1:44109/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 15.48 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:43287\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> /tmp/dask-scratch-space/worker-5gsvmny2\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://127.0.0.1:39717\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:46589/status\" target=\"_blank\">http://127.0.0.1:46589/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 15.48 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:44257\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> /tmp/dask-scratch-space/worker-3ac0dksx\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://127.0.0.1:42637\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:42253/status\" target=\"_blank\">http://127.0.0.1:42253/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 15.48 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:46629\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> /tmp/dask-scratch-space/worker-7rve6jec\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://127.0.0.1:44271\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:43647/status\" target=\"_blank\">http://127.0.0.1:43647/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 15.48 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:45993\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> /tmp/dask-scratch-space/worker-bxoh5q8r\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: 4</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:46059\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:34627/status\" target=\"_blank\">http://127.0.0.1:34627/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 15.48 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:41779\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> /tmp/dask-scratch-space/worker-15149rw9\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: 5</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:40375\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:41329/status\" target=\"_blank\">http://127.0.0.1:41329/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 15.48 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:38631\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> /tmp/dask-scratch-space/worker-dddasbpo\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: 6</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:38217\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:45137/status\" target=\"_blank\">http://127.0.0.1:45137/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 15.48 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:39517\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> /tmp/dask-scratch-space/worker-ivo1n3ji\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: 7</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:46123\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:33815/status\" target=\"_blank\">http://127.0.0.1:33815/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 15.48 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:45265\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> /tmp/dask-scratch-space/worker-9dxdzkn9\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://127.0.0.1:45245' processes=8 threads=32, memory=123.85 GiB>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"client"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "29072bf0",
"metadata": {},
"outputs": [],
"source": [
"BASE_URI = \"s3://cellpainting-gallery/cpg0000-jump-pilot/source_4/workspace/analysis/2020_11_04_CPJUMP1/\"\n",
"FS = fsspec.filesystem(\"s3\", anon=True)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b1e84203",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 5.12 s, sys: 848 ms, total: 5.96 s\n",
"Wall time: 27.2 s\n"
]
},
{
"data": {
"text/plain": [
"186758"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"experiment_base_dir = FS.ls(BASE_URI)\n",
"all_slides = list(chain.from_iterable((FS.ls(f\"{x}/analysis/\")) for x in experiment_base_dir))\n",
"len(all_slides)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "b273ef81",
"metadata": {},
"outputs": [],
"source": [
"def prepend_s3_uri(x):\n",
" if x.startswith(\"s3://\"):\n",
" return x\n",
" return f\"s3://{x}\""
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "c1ab5d05",
"metadata": {},
"outputs": [],
"source": [
"def check_number_of_labels(labels: np.ndarray, cells: pd.DataFrame) -> bool:\n",
" return (len(np.unique(labels)) - 1) == cells.shape[0]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "c3dc3e00",
"metadata": {},
"outputs": [],
"source": [
"def check_cell_area(labels, cells) -> pd.Series:\n",
" pixel_counts = count_pixels(labels)\n",
" cell_areas = cells.set_index(\"ObjectNumber\")[\"AreaShape_Area\"]\n",
" diff = (pixel_counts - cell_areas)\n",
" return diff"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "43480924",
"metadata": {},
"outputs": [],
"source": [
"def read_inputs(uri) -> tuple[np.ndarray, pd.DataFrame, pd.DataFrame]:\n",
" uri = prepend_s3_uri(uri)\n",
" outline_contents = FS.ls(f\"{uri}/outlines/\")\n",
" cell_outline_uri = [x for x in outline_contents if \"cell_outlines.png\" in x][0]\n",
" with tempfile.NamedTemporaryFile(dir=\"/mnt/scratch/tmp/\") as tmp:\n",
" FS.download(cell_outline_uri, tmp.name)\n",
" outline = skimage.io.imread(tmp.name)\n",
" return (\n",
" outline,\n",
" pd.read_csv(f\"{uri}/Cells.csv\"),\n",
" pd.read_csv(f\"{uri}/Nuclei.csv\", index_col=0),\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "e7735a8b",
"metadata": {},
"outputs": [],
"source": [
"def read_outline(uri) -> np.ndarray:\n",
" uri = prepend_s3_uri(uri)\n",
" outline_contents = FS.ls(f\"{uri}/outlines/\")\n",
" cell_outline_uri = [x for x in outline_contents if \"cell_outlines.png\" in x][0]\n",
" with tempfile.NamedTemporaryFile(dir=\"/mnt/scratch/tmp/\", mode=\"w\") as tmp:\n",
" FS.download(cell_outline_uri, tmp.name)\n",
" outline = skimage.io.imread(tmp.name)\n",
" return outline"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "43e713e1",
"metadata": {},
"outputs": [],
"source": [
"def make_labels(outlines: np.ndarray, nuclei: pd.DataFrame) -> np.ndarray:\n",
" labels = np.zeros_like(outlines, dtype=int)\n",
" for i, row in enumerate(nuclei.itertuples()):\n",
" mask = skimage.segmentation.flood(\n",
" outlines,\n",
" (int(row.AreaShape_Center_Y), int(row.AreaShape_Center_X)),\n",
" connectivity=1,\n",
" )\n",
" labels[mask] = i + 1\n",
"\n",
" # Expand labels, but only onto outlines\n",
" labels = labels + np.where(\n",
" outlines.astype(bool),\n",
" skimage.segmentation.expand_labels(labels, distance=1.5),\n",
" 0,\n",
" )\n",
"\n",
" return labels\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "0904463e",
"metadata": {},
"outputs": [],
"source": [
"def count_pixels(labels: np.ndarray) -> pd.DataFrame:\n",
" pixel_counts = (\n",
" pd.Series(labels.flatten())\n",
" .value_counts()\n",
" .sort_index()\n",
" .iloc[1:]\n",
" .rename_axis(\"ObjectNumber\")\n",
" )\n",
"\n",
" pixel_counts.name = \"AreaShape_Area\"\n",
" return pixel_counts"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "3385ed4d",
"metadata": {},
"outputs": [],
"source": [
"def get_labels(uri: str) -> tuple[np.ndarray, pd.DataFrame]:\n",
" outline, cells, nuclei = read_inputs(uri)\n",
" labels = make_labels(outline, nuclei)\n",
" return labels, cells"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "da7ecb8f",
"metadata": {},
"outputs": [],
"source": [
"BBOX_COLS = [\n",
" \"AreaShape_BoundingBoxMinimum_X\",\n",
" \"AreaShape_BoundingBoxMaximum_X\",\n",
" \"AreaShape_BoundingBoxMinimum_Y\",\n",
" \"AreaShape_BoundingBoxMaximum_Y\",\n",
"]\n",
"\n",
"def bounded_slices(x_min: int, x_max: int, y_min: int, y_max: int, shape: tuple[int, int], expand: int = 0) -> tuple[slice, slice]:\n",
" x_min = max(x_min - expand, 0)\n",
" x_max = min(x_max + expand, shape[1])\n",
" y_min = max(y_min - expand, 0)\n",
" y_max = min(y_max + expand, shape[0])\n",
" return slice(y_min, y_max), slice(x_min, x_max)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "d3eec971",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 29.1 s, sys: 26.3 s, total: 55.4 s\n",
"Wall time: 3min 36s\n"
]
}
],
"source": [
"%%time\n",
"results = dask.compute([dask.delayed(get_labels)(x) for x in all_slides[:1_000]])[0]"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "9442bfe6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 3.31 s, sys: 1.46 s, total: 4.78 s\n",
"Wall time: 8.28 s\n"
]
}
],
"source": [
"%%time\n",
"outlines = dask.compute([dask.delayed(read_outline)(x) for x in all_slides[:1_000]])[0]"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "99f76597",
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
" <th>ImageNumber</th>\n",
" <th>ObjectNumber</th>\n",
" <th>AreaShape_Area</th>\n",
" <th>AreaShape_BoundingBoxArea</th>\n",
" <th>AreaShape_BoundingBoxMaximum_X</th>\n",
" <th>AreaShape_BoundingBoxMaximum_Y</th>\n",
" <th>AreaShape_BoundingBoxMinimum_X</th>\n",
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" <td>45.317305</td>\n",
" <td>45.013340</td>\n",
" <td>44.392656</td>\n",
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"<p>5 rows × 1940 columns</p>\n",
"</div>"
],
"text/plain": [
" ImageNumber ObjectNumber AreaShape_Area AreaShape_BoundingBoxArea \\\n",
"0 1 1 1834 2464 \n",
"1 1 2 4808 6386 \n",
"2 1 3 4274 7920 \n",
"3 1 4 9510 14605 \n",
"4 1 5 7919 11644 \n",
"\n",
" AreaShape_BoundingBoxMaximum_X AreaShape_BoundingBoxMaximum_Y \\\n",
"0 175 44 \n",
"1 1058 62 \n",
"2 280 102 \n",
"3 966 115 \n",
"4 351 142 \n",
"\n",
" AreaShape_BoundingBoxMinimum_X AreaShape_BoundingBoxMinimum_Y \\\n",
"0 119 0 \n",
"1 955 0 \n",
"2 200 3 \n",
"3 839 0 \n",
"4 269 0 \n",
"\n",
" AreaShape_Center_X AreaShape_Center_Y ... \\\n",
"0 147.422028 18.959651 ... \n",
"1 1007.803661 29.248544 ... \n",
"2 246.671502 54.219701 ... \n",
"3 895.859832 51.441956 ... \n",
"4 306.717767 56.793029 ... \n",
"\n",
" Texture_Variance_RNA_10_02_256 Texture_Variance_RNA_10_03_256 \\\n",
"0 147.255399 151.782533 \n",
"1 221.602144 229.829795 \n",
"2 45.044602 49.697043 \n",
"3 99.497074 102.390836 \n",
"4 94.847745 100.607697 \n",
"\n",
" Texture_Variance_RNA_3_00_256 Texture_Variance_RNA_3_01_256 \\\n",
"0 164.783547 157.673994 \n",
"1 209.246179 210.898976 \n",
"2 44.796783 44.472828 \n",
"3 91.943509 93.593273 \n",
"4 93.259798 93.833051 \n",
"\n",
" Texture_Variance_RNA_3_02_256 Texture_Variance_RNA_3_03_256 \\\n",
"0 159.758863 160.663670 \n",
"1 211.154497 211.361926 \n",
"2 44.292483 45.082537 \n",
"3 93.004898 93.436252 \n",
"4 93.084008 94.067810 \n",
"\n",
" Texture_Variance_RNA_5_00_256 Texture_Variance_RNA_5_01_256 \\\n",
"0 164.541613 155.780611 \n",
"1 208.812846 212.769787 \n",
"2 45.317305 45.013340 \n",
"3 92.644306 95.924668 \n",
"4 94.226012 95.204466 \n",
"\n",
" Texture_Variance_RNA_5_02_256 Texture_Variance_RNA_5_03_256 \n",
"0 154.535859 157.297191 \n",
"1 212.604465 214.217267 \n",
"2 44.392656 46.072086 \n",
"3 94.488928 95.535426 \n",
"4 93.601934 95.733731 \n",
"\n",
"[5 rows x 1940 columns]"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results[0][1].head()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "3e37c751",
"metadata": {},
"outputs": [],
"source": [
"def show_cell(\n",
" labels: np.ndarray,\n",
" outline: np.ndarray,\n",
" x_min: int,\n",
" x_max: int,\n",
" y_min: int,\n",
" y_max: int,\n",
" expand: int = 0,\n",
"):\n",
" ax = plt.subplot()\n",
" y_slice, x_slice = bounded_slices(x_min, x_max, y_min, y_max, labels.shape, expand)\n",
" ax.imshow(skimage.color.label2rgb(labels[y_slice, x_slice], bg_label=0))\n",
" ax.imshow(outline[y_slice, x_slice], alpha=0.5, cmap=\"gray\")\n",
"\n",
" rect_x = x_min - x_slice.start\n",
" rect_y = y_min - y_slice.start\n",
" rect_w = x_max - x_min\n",
" rect_h = y_max - y_min\n",
"\n",
" rect_mask = np.zeros_like(outline[y_slice, x_slice], dtype=bool)\n",
" rect_mask[rect_y:rect_y + rect_h, rect_x:rect_x + rect_w] = True\n",
" plt.imshow(rect_mask, alpha=0.25, cmap=\"gray\")\n",
"\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "8f51ade0",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_740171/2857863462.py:1: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
" df = pd.concat([r[1] for r in results], ignore_index=True)\n"
]
}
],
"source": [
"df = pd.concat([r[1] for r in results], ignore_index=True)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "6bf975fa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"all(check_number_of_labels(*x) for x in results)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "57e98a22",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_740171/4031145187.py:2: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n",
" df[\"diff\"] = pd.Series(pd.concat(diffs).reset_index()[\"AreaShape_Area\"], name=\"diff\")\n"
]
}
],
"source": [
"diffs = [check_cell_area(*x) for x in results]\n",
"df[\"diff\"] = pd.Series(pd.concat(diffs).reset_index()[\"AreaShape_Area\"], name=\"diff\")\n",
"df[\"diff_abs\"] = df[\"diff\"].abs()"
]
},
{
"cell_type": "markdown",
"id": "6188ccb2",
"metadata": {},
"source": [
"Most cells seem fine:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "9ddadd3c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: >"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df[\"diff\"].hist(bins=100)"
]
},
{
"cell_type": "markdown",
"id": "b1232cba",
"metadata": {},
"source": [
"### Looking at failure cases:"
]
},
{
"cell_type": "markdown",
"id": "9f12d9d3",
"metadata": {},
"source": [
"#### Plotting\n",
"\n",
"I will be showing each segmentation with a little bit of extra bounding space, and highlight the original bounding space.\n",
"\n",
"For example with cells that agree well:"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "62ac8f90",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 1 diff 1\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 1 diff 0\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 1 diff -1\n"
]
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for i, diff, x_min, x_max, y_min, y_max in df.head(3)[[\"ImageNumber\", \"diff\", *BBOX_COLS]].head(5).itertuples(index=False):\n",
" print(f\"Image {i} diff {diff}\")\n",
" show_cell(\n",
" results[i - 1][0],\n",
" outlines[i - 1],\n",
" x_min,\n",
" x_max,\n",
" y_min,\n",
" y_max,\n",
" expand=10,\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2066854a",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"id": "f94800df",
"metadata": {},
"source": [
"## Failure cases\n",
"\n",
"I've taken a look through failure cases (cases where there is a high discrepency between expected and actual area) and think I'm seeing a few classes of errors:"
]
},
{
"cell_type": "markdown",
"id": "3ca94961",
"metadata": {},
"source": [
"## Axon like structures\n",
"\n",
"This seems like failure of my approach, but might be correctable."
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "a08dddad",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 822 object 103 diff -1724\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 501 object 43 diff -899\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 901 object 46 diff -839\n"
]
},
{
"data": {
"image/png": 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jodvjwTZnDtn5+Rx0u9kzReMJZyKtokWn0VGUXMSqglWccpziRNOJm3rNSCRCV2cXg4Mm5jbOxxwykLeglCSdgdra8wQCgYS+dPNqJBDFpDnS3s6zu3fTNcPGsk21FfkreGDeA4QGQuzatQuXc+IGVQcCAQ4fPkxSvZll+kWYM+dQWRFkMNDBsWPH8ft9E/Ze8UACUUyaSy1FMTl0Gh0GrYECWwHLs5dTO1DL0daj13/iOETCEbq7u3F7LCxuXYZNUchdVoBZVdGOzBQ0nUggCpGgluUs41OLPoWv38fOnTvxuOUfn5sl6zILkaDSLekszVlKhi6Dzhl8/fFEkkAUQogRcsgsRIIxaA1Y9BaMihG/z08wlDhru8Q7CUQhEkxFdgWfX/p5PH0eduzYgc87vc70xpIcMguRYJKNycxNn0uaPo3+vv4ZM/HCVJBAFEKIEXLILESCMGlNpJpTselseDwe/D7/5C48w/AsRWaTGZvNgmLzEjaH8XpdeMIehqfznV4kEIVIEAuyFvDkrU/i6nWxc8dOAv7ANSd/nQgGg4HK2yqx55sw332MIWMH+45tx+Vx4J2GfZcSiELEOZPWRIY1g1xLLskk4wv6cA46p2R+Qo1Gg81mIynFAClDRDRO3EOD03ZpgQnvQ9y6dSu33norSUlJZGVl8cADD1BbWztqn3Xr1qEoyqjbl7/85YkuRYhpYW7GXP5+/d9zX959VO+qpuZkzYyYrDUWJjwQd+/ezRNPPMGBAwfYtm0bwWCQD33oQ5edCXvsscfo6OiI3r73ve9NdClCJDSzzkxJagn51nzMYTOKX8HjHuk7nCKRSASny4mj301owIrWnUqKzU5SUjKKMv3OyU74IfPbb7896v6rr75KVlYWR44cYe3atdHtFoslutKaEOJyZWllfOOOb+Bz+Ni3ex8Bf4BIZGpPZAT8AQ4cOIAtycpaVpKUX8HtlTAYbmPPnmqGhqbXvIiTHvGDg4MA2O32Udt/8YtfkJGRwaJFi9iyZcs1pyb3+/04nc5RNyGmK7POzBz7HIqSitD6tES8EYaGhvAHpq5leImKit/nx+Meoq99CEdbCIMrF1ugAHtKFqmpqdOqpTipJ1UikQh//dd/zR133MGiRYui2z/96U9TXFxMXl4eNTU1PP3009TW1vL6669f8XW2bt3Kd7/73cksVYi4UZhSyLfWfIuQK8TBvQfxB/wxn4zV7/VzYP8BklOTuJPbsOaHWH27Sr+/lerqany+6XHGeVID8YknnuDUqVPsfd+CQgCPP/549P8XL15Mbm4uGzZsoL6+nlmzZl32Olu2bGHz5s3R+06nc9QylkIkMqPWSGlqKXqtHoA8ax4RT4SAO4DP5yMUCsW4wuGWYiAQwO8NEPEb0AR1mAxmjBhHraiY6CYtEJ988kneeustqqurKSgouOa+lZWVANTV1V0xEI1GI0ajcVLqFCLWMq2ZfP2Or5NlzQJgoG+AQ/sO4fPHRxjOJBMeiKqq8pWvfIXf/e537Nq1i9LS0us+5/jx4wDk5uZOdDlCxC2j1sjs9NnkWfIIOUO4fcNj+zyDHvx+P6Fg/IShRqsh3Z5Okt2CLrefYNoQ/X3tDPh6Y344P5EmPBCfeOIJXnvtNd58802SkpLo7OwEICUlBbPZTH19Pa+99hr33Xcf6enp1NTU8NRTT7F27VoqKiomuhwh4pbdbOepyqdIIol91fsY8oycWFSH10eOJyajiZWVK0kt0KC7aw+DtLCveieeIRehkATiVf30pz8Fhgdfv98rr7zC5z73OQwGA9u3b+eHP/whHo+HwsJCHnroIb71rW9NdClCxCWD1kB5Rjm51lx8gz7CwfBwizCeD48V0Ov06PUK6EOghgiGgtMqDGGSDpmvpbCwkN27d0/02wqRMFKMKTxx6xNk6DLYu2svLpdrWh12JrLpM4BIiAShoGDQGjBoDIQjYQnDOCKBKIQQI2S2GyGmiEFrYFnOMrIt2Ti6HXhD3rg6kywkEIWYMla9lb9Y+hfkmfLYuWMng45BmbUmzkggCjHJDFoDK3JXkGPNwdXjojnSTMAXkDCMQxKIQkwyo9bIw4sfZlbSLHZU7aCvry/WJYmrkEAUYpLoNXpuK7yNPGse7h43dZ11eL2JOV1WKBiivqGeFLeRwoJCDFYrc4pbGfT20draPG3GI0ogCjFJDFoDD857kAXpC6iqquJ89/lYl3TDAoEAJ2tOkpScRGbyRpILwyy920l/oIWurk5CocQM+g+SQBRigmgVLasKV1GQVBC97+nxcLb77DXn+0wkAX+AC+cvkDJooDhvFiZzCvNmdTDo6ae5uSnhx1RKIAoxQTSKhnvK7mFN8RoAAsEAO3bsoL6zPsaVTRy/38+pU6dIbU0hN20j1sISltw9QI+nmfb2VglEIWY6DRruKL6DWamzCDvCnBg8AUA4HMbj9lzn2YnJ6/Nx5uxZUgb0lGWVYzHbWVjei8PVx8WLF4lEEjMYJRCFuEmKonBn0Z2sL1lPdXU1x5uOx7qkSef3+Tlz+gz2TjuF6RuxFuVRcXcvHQNNtLS0SCAKMZPcXng7CzMXRu9rnVqOHzuOY8ARu6JiYGhoiJMnT5LSq2d2+iJsxgyWLHIw4OyjoaEBVZ3aRbFulgSiEOOkoHBr3q18rPxjAETUCHv37uVUw6kYVzb1fF4fZ8+eJbM3k5KsDdiKs1i4oYe2nkaami4SCkkgCjFt3V54O8tylpHsS+bdQ+8Ob1SZ8YOt3W43R48dJa3LwJykpaSYM1m+dIg+Rw/19XUJc1WOBKIQ16Hw3iJKFdkV/PmCP+fgwYOcPXc2hlXFF6/Xy/na82Q7sinLuQtbaSrl67pp7qynsaGBsJoYfYoSiEJcw8r8ldxReEf0vs1r48CBA3R3dcewqvjldDo5dPgQ9i4jc80rsFuyWHlrgJ6+burrLxDvDUUJRCGuQEFBo2iYmz6X++feH20lHjlyhNO1p2NcXfzyer3UXagjz5PH7JwlWMvMzK3oQm/Qj5xkie+WogSiEFewIm8FG8o2YPAY2LdvHzC8PEZ/X3+MK0sMjgEH+w/sJ7PDwjzdbWTasrl9VZiu7k4uXLgQ6/KuSgJRiPfRoEGj0VCaWsrdpXdz+tRpjtUdi3VZCWfIO0RjQyPhUBFz85eRNEdH0i0dqESoq4vfQ2cJRCHeZ1nuMu6bcx8al4Y9e/cw6BiMdUliCsmaKmJG06AZXvBp5FaYXMidRXeSqc2kqbFpxg20nmgRNUI4HCYcjqCGtCiqFq1Gi6Io139yDEgLUcxoC7MW8vEFH0er0QIQdoaprq7G5XTFuLLpoa+3jz179pDTnsSC8BpyUnNZu1ZPa1sr58/Xxrq8y0ggihlFq2gxaA3R+zm2HG7NvRW9Rg/ABc8F3m1+N1blTTter5fW1la02mKCebmY5vkpzCnDO+RHp6snEokQicTP1SwSiGJGKbOX8dmKz2LUGgEIuoLs3bMXRjr5hzzTY97CeNPd3c3u3bvJb09lgX8d+ek5WNeZaGpqiquzzhKIYlrTKlqMOiMaZbi7PNOcyZLMJZi0JgCafc3sa9+HGonT057ThNfrxev1YjQZCVzMxGR2kp9RinNgCL1+eGLZeJghRwJRTGsFyQU8vvxxrHorAAF3gP1790cD0OfzSRhOoY6ODnbs2EFRewYLPBsoysoh7a4k6usbqKuLfUtRAlFMK1pFi0VvibYIMywZzE2ZS7IxGYBOfycXui8QCskC8bHg8/rweX0kJSfha0rFaMvCmlpMn20Qo7GZUCgU01m3JRDFtJJhyeDJW58k3ZIOgN/j58iBI0RGpqEKBAOEp8kKcYmstbWVQccgpZ3ZzB/cSGl+Jlkb7NTWnqe+vi5mdUkgimnFqDMyJ30OWdYsAv4Aff4+avtq8Qf8sS5NvM+llmJaRxre5iT0aZlk2YrotPZhNrei02ljUpcEopiW3C43Bw8exO12EwgGYl2OuIrmpmZ6e3uZ213IvN67mV2cTt6GTIaGvFy82Dzl9UggimlBq2hJNaWSZkzD7/MT9ofp7+/H5/PFujRxDT6fD5/Px2BXNp4WE/rMdNKNRSSbM7BYLAQCfkJT2MUhgSimhXRzOk+teoo0TRpnjpzB6/Hi98thcqJoaGigo6OD8r4S5nXdzVxjH5qNYWpqTnDxYtOU1SGBKBKaVtGSbkknx5pDpi4TS8SC2+meNgvDzxR+v3/45lDAkYY5PZW0lFQMBuOU1iGBKBJaiimFzbdtJtOQSe2xWoZcQ3i93liXJRKUBKJISFpFS5Y1iyxLFilKCqaQCa/bi8czPReGF1NDAlEkJJvBxlcrv0q+OZ9Th0/hHnTLCRRx0yQQRULRKlpybblkWDKwRqxo/Vp8Hp8cJic4k9mE2WzGbFfB3sdQpJ/+/n4Cgan9R27CJ4h99tlnURRl1K28vDz6uM/n44knniA9PR2bzcZDDz1EV1fXRJchpimz3sxf3vqXPH3b07Sda2Pvnr243e5YlyVuUmlpKXdvvJuSu8Nw9zbO+7ezfft2WlvbprSOSZkxe+HChXR0dERve/fujT721FNP8Yc//IHf/va37N69m/b2dh588MHJKENMQwoKycZkUk2phAPh4ckZ4nWBDjFmep0es9mMwQJYvARVL16vb0rHIMIkHTLrdDpycnIu2z44OMjLL7/Ma6+9xl133QXAK6+8wvz58zlw4AC33XbbFV/v0in5S5xO52SULYSY4SalhXjhwgXy8vIoKyvjkUceobl5+BKcI0eOEAwG2bhxY3Tf8vJyioqK2L9//1Vfb+vWraSkpERvhYWFk1G2iGNaRUtZWhkLMhYQcAfo6ekhGArGuiwxzUx4IFZWVvLqq6/y9ttv89Of/pTGxkbWrFmDy+Wis7MTg8FAamrqqOdkZ2fT2dl51dfcsmULg4OD0VtLS8tEly3inEFr4IvLvsg3b/8mPXU97N2zV9Y9ERNuwg+ZN23aFP3/iooKKisrKS4u5je/+Q1ms/mGXtNoNGI0Tu2IdREfNGiYlT6LLHMWWp8WZ68Tv9dPMCitw0RmsVpISUlBYXj1vaR8BfLbGIy042prx+OJzYmySR92k5qayty5c6mrq+Puu+8mEAjgcDhGtRK7urqu2OcohF6r538s/h8sy1rG/nf2U9dZF9MJRMXEyM/L59aVt0YDUbPkNMqynTScPMqpnTU0N8fmKHDS12V2u93U19eTm5vL8uXL0ev1VFVVRR+vra2lubmZVatWTXYpIoEoKJSnl1NZUInGq6G3qxffkI9QOISKnFVOVBarhYKCAtKLjehLO9CXtaMva8etb6G5owGHs59wOISqxmYlvglvIf7P//k/uf/++ykuLqa9vZ1nnnkGrVbLww8/TEpKCl/4whfYvHkzdrud5ORkvvKVr7Bq1aqrnmEWM5NOo+PjCz/OqvxV7N+7n3fa3yESjp/lKsWNycnJYdVtq9DMvwC37WKkgUjTqRpOVB+L+ZKkEx6Ira2tPPzww/T19ZGZmcnq1as5cOAAmZmZAPzgBz9Ao9Hw0EMP4ff7ueeee/jJT34y0WWIaUCn0Q0vF6oih8kJzmq1kpGRQVapGd3sFlzmi/S1NERb+30DvXHxHU94IP7qV7+65uMmk4kXX3yRF198caLfWggRpzKzMrnjjjvQzm2E2/fQXneOd/cceF/nR3y0/uVaZhFXFBQWZy0mPzkf1a1S31AvM9hMExqNBo1GAW0ElAiRGPUTXosEoogrGkXDh+d+mLtK7mLvnr0caD4gl+aJKSOBKOKORtGgUTQoKBKGCc5ms5Gbm0tmmRFl7gUc5gt0nT9PV1d3rEu7IglEIcSkSbOnUVlZiXZ2E6zaS0/jeQ7s2x+3/9BJIIq4sSJ3BWVpZWjdWs6dPSeTeEwDlwZeK4oCigpcusWnSR+YLcRYaNCwvnQ9X17xZfSDeg4fPszAwECsyxIzjLQQhRATzmazUVRchL1Eh6biDA59Ay2nT9Lb10OcHi0DEohCiEmQnJLMsmXL0JW2oSzfTX9zHUf3HInbvsNLJBBFzN1WcBsLMhdgGjJx4vgJ+gf6Y12SuEE2m43SslJSCzVolp5kUNfMxZPHRr7TqQ1DvV7PrFllgIHXXjs5pudIIIqYW5m/ko+Vf4z9+/ZTc6Em1uWIm2C1WVm0cBGG0h5YsoPBjgZqdtcQiUz9ZXkGg4Hy8nJ0OjMggSiEmCJWq5XZs2eTUqBBu+Ikg7pWGmqO4HD2T/nMNTqdjjlz5qDVmnjzzQaczrHPnSmBKGLq0rAMkdgsVgvzF8zHWDQAi6tw9zRyZtfJKV8kCoYPlWfPnkUwaORHP9pGc/PYh29JIIqYuaPwDpbnLSfFm8K7B9+lp6cn1iWJcbJYLMybN4/kfA26yhM4tR1cOH6QQfcA4QScrk3GIYqYWZS1iAfLH8QWsHHu3DkcDkesSxLjZDKbmDNnDqXl2ejm1zGUeYbaunO0tLTE9IyyqnJD7y8tRCFEQtNqtZSXzyM5OQUAny/M66/X09nppb/fO67XkkAUU05BiU7eEI9TQImxURRluA9Yo6IqEdSIOtIqm7qWoaKATqclL6+AnJxsAPr6vBw8WEV9/fivdJJAFFNudfFq1hStQT+o552979Db1xvrksQ4WcwWFi5eSHKeBsPqYzi1nZw+uheXZ3DKTqRoNBoWLJiP1ZrCH//YTHf3BQD8/jBdXTc2h6YEophys9Jm8aGyD3HkyBFONZyKdTniBuiNeoqLirEV+WDWcfzuZppO1OP3B6bk/YdbhjoyM3NITk7n5Mk6Tp68+SnFJBCFEAlFURQWLlxASoqdt99upbn5PM3Njgl5bQlEIcS4aLQatFoN6MKomjDhcHjKFohSFAWdTofdnondnk1t7QWOHu2csNeXQBRCjJnZbGbpsqUk52oxrTuKS9fN8cO7cHsHCQRCk/reigILFy4gPT2TP/2pg/r689TXT+x17xKIYsroNXp0Gh0aNASDQcIxuL51OlI0ClqN9rLtkUhkQtc51ml1mMxGcgsysBWECee24fW30t7Vgs/nm7D3uRKtVoNWqyMpyU5aWjYNDRd49932CX8fCUQxZdYUr+HDcz7MUPcQO3fuxOmSGbEnQn5ePvPnz+eDV0HW1dXR2NA4Ie9hNBlZfstyUnJ1WO6qwWPs5ujRXbiGHAQCk3siRVGgvLycnJxc/uu/2jh79gINDZMzebAEopgyObYclucu53j3cRo6GmJdTtxSFAWdXjfm67zNNjNJGUmX7W/ptGAwGK76vGAoiBq5/phBnV6H2WwmqyCN5HyVYFY73nArXb1tDA0NjanGm5WamkZOTi4dHfUcOzZxfYYfJIEoRJxJSUlh+fLl6A36Me1/tOcof7fj7y4bD31n/p3cteGuKz5HjajU1NTQ0dFxzdc2GowsX7GctFwTtg0n8Zq7OHR8B66hAXw+/5jqSyQSiGLSGbVGzHozekWP1+clFJzczvdEoaAMt+A+MKOA0WzEmGwccyAO9gxysusk6gcScVH2IozJxis+J6JGMFqNGI1GgsHgFfsaDQYDZquJjPwkUgt0BO2deGild6ATt9s9tg95k3Q6LTqdHr8/gsPhJxic3H5nCUQx6W4vvJ1PLPwEjnYHO6p2TNlhVrwzW8ysXLkSi9Uyanubp43nDzzPUHBsP6cB38BlYQiwrX4bxzqOXfE5GkXDg7Me5K45d3H02FG6OrtGPa7X61mxYgXpeVaSNp7BZ+vm3ZoqBj19DA2N7/rgm1FeXk5hYRG/+10Dx46dp73dNanvJ4EoJo1Ja8JqsJJrzaXYWow37KW3d+ZepqegYDAaomeEzRYzikVBsY7u+/P6vJzvO48rcHN//D1DPfQMXXlKNa2ixT3LjWJRMFgMmM1m/AE/kXAEo9GI2WzCnmchrcCIP7kbj76VvsFuXFN8Isxms5GRkcHAwHlqa/sm/f0kEMWkWVmwks9WfJb+jn62b9+Ozzu5QzPincFooPK2SlJShmdl6ff18+LxF+n1jv5Hwh/yj7l1eKPCapjXTr7Gf174Tz5T/hnWl6/n8OHD9Pf3s3z5cjLzU7BtPEUgpZsDp7fhcPXh8dzY9cGJRAJRTDizzkyKKYUccw7ZhmzcQTcD/TNjjWWjyYhOd+U/K4PRQNgQJqAfHqbiCXhodjbT4b72iY3J0uXpot/bjyPiIGAIYLAYsAVtpOYaSSnQ4LN249G1MOjuY3DQMaW1GQwGbDYbXm+Ezk4PXu/YlwG4GYoa7+sCXoHT6Yz+KzsRCgoKKCsrm7DXm+nuKLyDx5Y/Rn9HP03nmgj4A5M+cDceKBqFW2+9lbzcvCs+7gq4+GnNT2lxtQAQCofoHuomFIndSSYFhQxLBimmFL646IssyJmD5a4aIumd7K+pom+wC49naMoXiTKbLRiNRn7zm/Ps3dtGX98QQ0M393MaHBwkOTn5mvtIC1FMGLPOTLo5nRxLDimk4Aw4cQ5O78HXJpMpejZYo9EQ0odwKVfu+xtUB2lzt9E82DyVJV6TikrPUA9Ov5P+UD8ujROjzQnJTjz+QVyuyT2JcTVms4mkpGQ8njAtLVP3OySBKCZMRU4FT6x4goGuAXZW7Zz0KxhiTUFhwcIFlJSUABAMB/n/Tv5/HD9+/Ir7h9Uw/d74XHM6EA7w8rGXSau3svn2JczKtMW6pJiQQBQTxqw1k5eUR7AviNvtjumaGpPFZDZhMpqG7ygQ0AXoDQ2fFAlFQnQNddHunvhrbCebikqft48hBmlqK8RgCaPXW0hJScHtdk/ZbDYmkwmj0YTbHaG3dwCnc2oHf0sgCjEOc+fMZd68ecDw4OZXTr5C9cnq6OOD/sFYlTYhfL4Q//qvh0lLM/PUUysoKDCzZ8+eKVsAbPbs2ZSXz+cf/uEPvPzyHtzuqT3KkEAUN82qt5KXlEe6MZ3+/v4pu4phMplMJqxW66htKip+nZ9WX+vwfVWlc6jzqmP9EpGqgsPhJxRSaW/3odNpMZuHT0S4XK5Jbynq9XqsVguBAPT2Tt0A8EskEMVNm58xn/95+/9koHuA3Tt3EwwGE/5wuaioiKVLl162/bUzr/HH7X+M3ncHEj/8r8TjCfCTn7xLRoaFr3+9kqwsA9XVu3E6p/dJMglEccNsBhtFKUUU2goJe8IE3UG8Xm9Ch6HJbCIpKYmQMUS9q37UDDIqKh1DHXF7YmQiqSo4nQH0ei06nQGTyYiiTN4y7haLBavVhtsNp05109sbm8s7JzwQS0pKaGpqumz7X/3VX/Hiiy+ybt06du/ePeqxL33pS7z00ksTXYqYZLPSZvG3a/4WV6+Ld3a/My1ahvn5+dy64lb+WPdHXqh64bLHfeHpP54yFkpLS1m8uIJf/vI0r79exenTsRmaNOGBeOjQoVH9DKdOneLuu+/m4x//eHTbY489xnPPPRe9b7GMvrhdxDebwUZZahmlyaX4HX68Ti9+v39CZ2eeKkaTkdTU1GhLMGwMc6b/DM3uZpyB6X14GE+0Wi1Go4FQaLhlGgjEZjb1CQ/EzMzMUfeff/55Zs2axZ133hndZrFYyMnJGfNr+v1+/P73Tr9P936MeFecWszfrf07vANeDrxzgGDgytNHJYLs7GxuX3U7imY4EP/U8Cde2PUCgfD0HkMprmzyOgWAQCDAz3/+cz7/+c+jKO/1xfziF78gIyODRYsWsWXLlutOB7V161ZSUlKit8LCwsksW1yHFi0WvQWjdnguvVA4ceY3NBqN5Oblkp+fT35+PopF4XjPcY53D98aHA14Ah4JxBlqUk+qvPHGGzgcDj73uc9Ft33605+muLiYvLw8ampqePrpp6mtreX111+/6uts2bKFzZs3R+87nU4JRXFD0uxprFmzBr1++HK7Pc17+Ps9fx8N9bAavuLcgmJmmNRAfPnll9m0aRN5ee9d7P74449H/3/x4sXk5uayYcMG6uvrmTVr1hVfx2gcntlXxJbNYGNR1iIKrYV0tnfiGfQkzEkUo9FIZmYmWpuWQ52HokcsZ/vO4g16CauyAmAsJCUlkZZmZ3BQYc+eJlpaYjuwfdICsampie3bt1+z5QdQWVkJDK8QdrVAFPEhPymfv1n1NwScAfZW78Xv949pkaJ4kJKSwu23387p/tM8V/1c9GxxOBKWMIyhgoJCli+/hV/+8jQ/+9kewuHY9kVPWiC+8sorZGVl8eEPf/ia+126ED43N3eyShETREFBr9ET0USIhCMJEYZGg5Hs3GwUs8K+9n00OhvxhX3SRxgnNBoFrVZLJELMziy/36QEYiQS4ZVXXuHRRx8dNVlmfX09r732Gvfddx/p6enU1NTw1FNPsXbtWioqKiajFDHD2ZJt3FZ5G+cHz/PMrmdwBVzSIhRXNSmBuH37dpqbm/n85z8/arvBYGD79u388Ic/xOPxUFhYyEMPPcS3vvWtyShDzEB6g568vLzoSZOwLsyull00u5rxhXwShuPk84XYu7eZ3FwzdnsOqakptLW1EwpNzQzWU21SAvFDH/rQFTvbCwsLL7tKRYiJZDabWb58OTbb8Hx+53rO8YMdP2DQN0iExBwrGUseT5D/+39PkJ1tY+vWDaSlaejv78flkkAUM1SyIZlVhavIMeXQfLEZv3t4dbZ4otfrKSgsQGPSsKtlFxHNcH2d7k58IZ+E4U2IRCAcVlEUZdR44puRmppKdnYOg4M63nyzlnPn4mPGIAlEcV0Z1gy+eMsXYQiqqqrw+6Z20s6xMBqNLKlYwiCDvLj9RTrdnQAypjBOZWfnUFlZyW9+c5qXXjpAvIzekkAUY6IoCkxM42BC6XQ6ikuK0Zq0VLVU0ePvwR1wSxAmgEuNzXgJQ5BAFAnOYDCwcOFCvDovP9n2E1qcLbEuSSQwCUSRkHRaHSVlJejNerY3b6cnMLxynIhvaWlpFBQUMjCg8POf13DyZHesSxpFAlEkJJ1eR/m8ciLmCC9te4kGR0OsSxJjYLens2zZMn7/+1pefjl++g4vkUAUCUWr1TJr1iwMVgN/av4TvcFe+n3TfwbrWDGbddxzz2xycsy0tzfQ0REYNRXfdCOBKBKKVqulbFYZhmQD/7b936jtq411SdOaxaLnwx+eQ16ekW3btjM46Ih1SZNKAlEkBI1Ww+zZszEnmdneup3uQPe0Wu1OxAcJRJEQNBoNJcUlWNOtvFz1Mie7T8a6JDENSSCKuKZoFObOnYstxca2tm10NnbS7mqPdVlimpJAFHFNq9GSn59PWlYaL+96mWMdx2JdkrhBwwOxFSKRCJE4nTpOAlHEJUVRmDtvLqn2VHZ27qS1sZVmR2yWphQ3LyMjgzlz5tLc7OOf//kATU2DcTfkBiZ5kSkhboSCgkajITsnm8KSQk4PnuZPDX+iz9sX69LEDbLZkpg9ezbBoJm3377A6dPxNSD7EmkhiriioDC3fC4ZmRlU91TTeLGRur66WJclZggJRBE3FGV4Ovn0jHTyCvOoa6pjT/OeWJc1Y+l0GnQ6DaoaGVnrJA6PcSeYBKKIG3PnzSU7J5s9PXs433yecz3nYl3SjGU26/jMZyooLLTS3n6e5uYhPJ5rr58+HUgfoog5RaOg0+lIsaeQlZdF01ATe5v30uvtjXVpM5Zer2HZshxuvTUXl6uftra2abtswPtJC1HE3Jw5cygsKGRH5w5e2f0KDf0yUYOIDQlEETMarQatVostxUZqViqtF1t5t+3dWJclJtBwv7AO0DA0FIyLpUavRQJRxMzsWbMpKSmhqr2Kf9/17zLOcBrKzMykoqKC2loXzz67i54eL5E4Xt5GAlFclQYNFoMFi95CMBCEABNyolGr1aLT6jAnmbGmW+m62CVXoExTJpOJnJwczp0LcOxYJ+FwfJ+plkAUV5VhzeCJW58gmWRqDtXgG/IRCARu+nVLy0qZM3sO29u283+q/g+drs4JqFaImyeBKK7KqDUyN30upqCJuv46hrw3N+xCp9WhM+gwWo3oknT0BHo43X16gqoV4uZJIIopU1xazPz589nesp1/q/o3eodkWI2ILxKIYtLpdDoMBgN6i56IKUJfsI/zfedjXZYQl5FAFJOuqKiIRYsXsaN5B/+67V8Z8A3EuiQhrkgCUUwanV6HyWhCa9bi1XnpDfbK6ngzhFarxWw2Azo6O90MDPhiXdKYSCCKSZOfn8+yZcvY1bKLn2z7CS6/K9YliSmSnp5BZWUlp0/383d/twuXyx/3Q25AAlFcgU6jI9OSSbY1G6/HSygQIqKOfTStXq/HbDajNWsZVAfpCfTQ6mydxIrFRNFoICPDit1uIhDw4XKphMPjv7pEp9ORnJwMuGhvd8X9FSqXSCCKy9hNdr5x+zdI1aZy+vBpvG7vuNbizc3LZcXyFexp28PT25/GE/BMYrViIplMer70peXMnZvK2bNHuXChH58vMQ53J4IEoriMVqMlw5pBMsn4vf7rjj/U6XXYrDaU4UUz0Jg1dAW76PJ10enuRJ0B8+hNFxqNQnq6mawsKydP+hkamv5Tfr2fBKK4aZkZmay6fRVarRaAva17+dsdf8tQcEjCUCQUCURxw3R6HSnJKehtelqHWtFoh6fX7BjqoG+oj7CaGP1GQlwigShumN1uZ83qNdT01fBM9TMEwsPXOQfCAQlDkZAkEEWUXqOnJK2EHEsOLoeLUDh0xTOMer2e1NRUDEkG6l31NLmaGPAOEIxM/xmVpyuNBoqLU8nIMBMIeOjpCREMzrzvUwJRRCUbk/nqyq+Spc/i4DsHcTvdhIKhy/ZLTU1l7dq1nHOc4x/2/gPugFvCMMEZDFo+97mlVFRkcOjQfurqembEkgEfJIEoohQUrHorVr2VcDB8WQtBr9djt9sxJBk46zhL/WA9Tr8Tf3jsQ3JE/DKbdVitelQ1TDB489O8JaJxLzJVXV3N/fffT15eHoqi8MYbb4x6XFVVvvOd75Cbm4vZbGbjxo1cuHBh1D79/f088sgjJCcnk5qayhe+8AXcbvdNfRAx+ZKTk1m9ejXpZem8sP8FXjn2ioShmFbGHYgej4clS5bw4osvXvHx733ve/zoRz/ipZde4uDBg1itVu65555RgzsfeeQRTp8+zbZt23jrrbeorq7m8ccfv/FPIW6KXqOnIquCpdlLcfY76ejoIBR671BZp9eRm5uL1W6lpq+GM31ncAVcEobiMkajgby8fHQ6G4cOtVFb20ckkjhDr8Z9yLxp0yY2bdp0xcdUVeWHP/wh3/rWt/izP/szAH72s5+RnZ3NG2+8wac+9SnOnj3L22+/zaFDh1ixYgUAP/7xj7nvvvv4p3/6J/Ly8i57Xb/fP+pKCafTOd6yxTVY9VYeW/4YhZZC9uzag8PhIBJ+71I9m9XGqlWraPW28kz1M3ICRVxVSkoaq1ffwcmTffyv/7WXoaEgoVAcL6LyARO6LnNjYyOdnZ1s3Lgxui0lJYXKykr2798PwP79+0lNTY2GIcDGjRvRaDQcPHjwiq+7detWUlJSorfCwsKJLFsoYNAaMGgNRCKRUWF46XGtTotGqyEQDkgYiqsaXmVPCyj4/SGCwcQJQ5jgQOzsHF4bIzs7e9T27Ozs6GOdnZ1kZWWNelyn02G326P7fNCWLVsYHByM3lpaWiaybCGEABLkLLPRaMRoNMa6jGlHp9GxLGcZOdYcnD1OmmgatYiUTq8jLzcPjVnDO63v0OHtiA6+FtODRgMVFTnk5toIBp1cvDiE1ztzJnP4oAkNxJycHAC6urrIzc2Nbu/q6mLp0qXRfbq7u0c9LxQK0d/fH32+mBomnYlHFj/CnJQ57Nq5i7O9Z1HV9zrAzWYzy1cspyfYw9/u+Ft6h3rlCpRpRqfT8uCD5VRW5lFdXc2BA22jfgdmmgk9ZC4tLSUnJ4eqqqroNqfTycGDB1m1ahUAq1atwuFwcOTIkeg+O3bsIBKJUFlZOZHliDHQarRoFS1qRI3+Iej0OopLisnMz+Sdtneobq7GE/RIGE5Tw/1+GkCd0WEIN9BCdLvd1NXVRe83NjZy/Phx7HY7RUVF/PVf/zX/8A//wJw5cygtLeXb3/42eXl5PPDAAwDMnz+fe++9l8cee4yXXnqJYDDIk08+yac+9akrnmEWU89kNLFs6TIGGeSb279Jh7tDZq0RM8K4A/Hw4cOsX78+en/z5s0APProo7z66qt84xvfwOPx8Pjjj+NwOFi9ejVvv/02JpMp+pxf/OIXPPnkk2zYsAGNRsNDDz3Ej370own4OGLCKMNXrqgj/wkxE4w7ENetW3fNZrWiKDz33HM899xzV93Hbrfz2muvjfethRBiUiXEWWYxsXQaHWuK1lCQVICr08W59nN4vV50Oh0lpSVoTBq2N22nx9+DOyCXVE5HGg3cdlsBpaWphMMOzpxx4HbLImASiDOQXqPnI3M/wuL0xVRVVXGhe/hac4vZwoL5C/Dpffxk209occp4z+lKURQ2bChj3boidu+u5tix5liXFBckEGcQraJlXck6ipOLGeoe4mTHSTweWQBqphtZCkcggTij6DQ6NpZtZEXOCnbu2ElDxwcWjVeQEyhiRpNAFOh0OmbPno3OouM/L/4nPf4eBn2DsS5LTAJFgTvvLGbevAy02kGOHTvGwIAj1mXFDQlEgVanZdbsWWCBF7e9SMNAw/WfJBKSokBlZQH33DOLPXv2cPp0Y6xLiisTeqWKEEIkMmkhCmB4LkvpPpz+lJEzKDP9Er2rkUCcwbRaLeXl5RhtRn7f+Hs6fZ30enpjXZaYJBs2lLF0aTYmk4uDBw/Q1yff9QdJIM5UyvDJlILCAgzJBg5VHeJc37lYVyUmiaJARUUWH/nIXN555x0uXKi7/pNmIAnEGUir1bJo4SIcHgdvNb1Fm7eNDndHrMsSIuYkEGcIRVFQNCOTNSgqWblZWPwWTtSd4GT3yViXJyaRVqug0SiASiQSlv7Da5BAnAEURWH+/PnkZOXQkd7BrvAuTp0+RW9fLy2DcnnedLdhQymrVhWiKP3s2bNX+g6vQQJxBlAUhaysLAqLC3FEHHQHujnQeYCODjlMnglmzbKzfn0JBw50UVt7MdblxDUJxBkkEolw6tQpenp66O/vj3U5QsQdCcRpTqvVotVqURQFVVXp6emhtbU11mUJEZckEKe5+fPnk5eXR2pqaqxLESLuSSBOY4qikJaWRm5uLuFwmEAgIGcYhbgGCcQZQFVVTp48SUdHBw6HI9blCBG3JBCnGZ1Oh1arBUCj0RAOh/H5fPT391+2HraY3kwmLUajDq0WfD4/4bAsI3s9EojTzLx58yguLgaGW4aNjY2cP38ep9MZ48rEVLv77lls2jSb/v4WqqqqZM2UMZBAnCb0ej06nQ6LxYLNZsNgMKDRaDh//jy9vTIQdyYxm3VYLHry8qyUltoYHAzQ29sT67ISggTiNDF79mxmz55NQ0MDVVVVLF68mKKioliXJWLgrrtK+djHyunpaWbbtu0MDQ3FuqSEIRPEThMWiwW73Y5er8fv9+P1evF4PIRCoViXJqZYWpqZ2bPtmEwqAwP9+P2+WJeUMKSFOM3MnTuX4uJizp8/T1VVlbQOhBgHCcQEZzAYMBqNqKqKy+XCaDSSmppKOByWITZCjJMcMie4srIy7r77bkKhENu2baOlRWavEeJGSQsxQRmNRsxmM0ajkUgkgtfrxeVyEQgEYl2aEAlLAjFBlZSUsHjxYurq6ti2bZsEoRATQA6ZE5Rer8dqtaIoCh6PB51OR3p6OpFIhP7+fvx+f6xLFCLhSAtxmpgzZw7l5eWcPn2a7du3S4tRiBsggZhgzGYzNpsNjUZDT08PqqqSmZmJVqvF5XLh8Xjwer2xLlPEQHq6mZwcGzYb9PT04PHIkKvxkkPmBFNQUMCGDRvQ6/VUVVWhqiobNmwgFAqxY8cOOcs8g61eXcQ//uMG5szRUlVVxcWLjbEuKeFICzHBaLVajEYjVquVtLQ0AAYGBvB4PNJvOMMZjTpSUozo9cjvwg2SQExQxcXF5Ofnc/bsWXbu3ClTOwkxASQQE4TFYiE1NRW9Xk9bWxtJSUkkJyejKIqcQBFigkgfYoLIy8tj3bp1mM1mdu3aRX19faxLEmLaGXcgVldXc//995OXl4eiKLzxxhvRx4LBIE8//TSLFy/GarWSl5fHZz/7Wdrb20e9RklJCYqijLo9//zzN/1hpiOLxUJhYSFGo5GOjg5CoRB5eXkAtLS0MDg4GOMKhXiP3++jra2NYNDFbbcVUF6egSaBml3jLtXj8bBkyRJefPHFyx4bGhri6NGjfPvb3+bo0aO8/vrr1NbW8tGPfvSyfZ977jk6Ojqit6985Ss39gmmuZycHNauXUtKSgrV1dV4vV7Wrl2LXq9n9+7dNDbKmUQRPxwOB3v3voPX28Y3vnE7n/rUInQ6bazLGrNx9yFu2rSJTZs2XfGxlJQUtm3bNmrbv/zLv7By5Uqam5tHTVialJRETk7OeN9+Rrq0Rko4HEZV1VH3hYgnRqOJnJxswMKBA62cO9dPOByJdVljNumN2cHBQRRFuWxd4Oeff5709HSWLVvGCy+8cM2JTP1+P06nc9RNCBF/UlJSuO22VVgseXz/+wf5f//vDOFw4ix9O6lnmX0+H08//TQPP/wwycnJ0e1f/epXueWWW7Db7ezbt48tW7bQ0dHB97///Su+ztatW/nud787maXGHavVSnZ2NhaLhfr6enp6ZE0MEf98Ph9NTRcJBMLceWcx7e1uTpzoIJIgjcRJC8RgMMgnPvEJVFXlpz/96ajHNm/eHP3/iooKDAYDX/rSl9i6dStGo/Gy19qyZcuo5zidTgoLCyer9LiQkZHB7bffTlNTE/v27ZPDY5EQnM5BDh48QG5uPl/72p0cONDO6dPdBAKJ8fs7KYF4KQybmprYsWPHqNbhlVRWVhIKhbh48SLz5s277HGj0XjFoJyOLp2dN5lM1NXV0dvbSzgcJiUlhZycHAwGA7W1tdJiFJepr+/nzTdrsVpV5s6dR19fL319fVNehzpyhKzRaFAUZcrf/2ZMeB/ipTC8cOEC27dvJz09/brPOX78OBqNhqysrIkuJ+GkpaWxcuVK0tPTOXToEHV1dQBkZWVRWVmJ2WzmwIEDNDc3x7hSEW+OHOnghz88wMWLEW677Tby8/NjXVLCGXcL0e12R/9IARobGzl+/Dh2u53c3Fz+/M//nKNHj/LWW28RDofp7OwEwG63YzAY2L9/PwcPHmT9+vUkJSWxf/9+nnrqKT7zmc9Er82dScxmM0VFRdEzx1qtlvPnzzMwMEDkAx0vifavrZh6l1pn8qtyY8YdiIcPH2b9+vXR+5f69h599FGeffZZfv/73wOwdOnSUc/buXMn69atw2g08qtf/Ypnn30Wv99PaWkpTz311Kg+wpkkKSmJW265BYPBAEBrayu7du2SPkMhYmDcgbhu3TpU9eqn0a/1GMAtt9zCgQMHxvu2Cc9gMFBWVhYNvvc7d+5ctPU3ODg46meYmppKYWEhGo2GkydP0t3dPWU1CzHTyOQOU8RkMrFw4UJsNtuo7d3d3VRVVV11gga73c6yZcuoq6tj3759U1GqEDOWBOINUhSF0tJSUlJSxrS/qqqj+l4v8Xg8cngsRJyQQLxBGo2GkpKSMY+HdDqdbNu2DbfbPcmVCSFulATiDSgrK8Nut9Pb20tXV9eYnhMIBGTeQjEljh3r4KWXwhQX61m+fEV0e3NzMz090gd9LRKI46TRaCgsLKSwsJBdu3bR2toa65KEGOX06R5On+7h859fxqZNC4Hh4Tgul1sC8TokEMehrKyMzMxMBgYG6OrqwuFwxLokIa7qwIFWHI73VmAsLzezcmUlMNyn3dBQH5MrWeKZBOIYKYpCXl4epaWl7Nmzh4sXL8a6JCGu6cyZHs6cGb7EU1Hga1+rZN68cgBUNUJPTy/9/e8F4nVGzI3ZpUHhkYgKJM5MNyCBKMSMoKqwfXsjFy70A6DRwLJlaaxadTswPLdmbW3tTR/1JCcnU14+n76+MP/yL4dob3cRCiXOKAoJxDHSaDSoqhq9CZFoTp3q5tSp4T5ErVahomI1ZWWlAIRCIVpa2i67MGC8zGYLs2aV4XL18Kc/HcPnS5wwBAnEMZkzZw45OTkMDAywb98+6XcRCS8SUfn972t59902AHQ6DatX53HbbUWcOXOGwUFHbAuMEQnEMcjIyKC0tJSOjg4aGhpiXY4QN01V4eTJbk6eHG4xmkxa1q4tpqAgk8bGRlwuZ3Q/VR3b7K6KokGjUYDEnVlCAlEIQTAY4bXXTlJVZWXjxmLKy4fnJQ0EAtTU1Fz3goLk5GQWL67AZrOh0yVurCRu5UKICRMOq5w82U1Dg54PfWhWdAE4n8+L0XgBr9f7vn2H+wUvTVkHYDKZycrKxWg0EgxGCAYTZM2AD5BAFEJE+XwhXn31BMnJ5wCwWLR89KPzWLp0eMb6oSEvx48fQ1E0LFu2DJNpeHtnp5fvf//d6EkUh8OXkKEogSiEiAqH1ejYRYC0NBMf+9gC0tPtABiNLoxGE4qiIS0tA4vFCkB3dw9HjnTgciX25akSiEKIq3K7A/zkJ4ewWPQApKYaeOihJYTDKj/+8bFoAHo8Abzeqy8lnCgkEOOURqNBp9Oh0WgIBALXXLdaiMkSDEY4e7Y3ej8318YnPrEYiHD6dA89PUOxK24SSCDGqaysLJYsWYLD4WDnzp0MDU2vXzyRmPr6vPzzP+9HVYf7CacbCcQ4ZTQaycrKYmhoiO7ubrk6RsSFQCDM+fPT98KECV+GVAghEpUEohBCjJBAFEKIERKIQggxQgJRCCFGSCCOgc/nw+l0otVqSU5OTuiL14UQVyeBOAZnzpyhqqoKu93Ohg0bohe+CyGmF2nqjIHf7ycQCKDVahN+eiMhxNVJC1EIIUZIIAohxAgJRCGEGCGBKIQQIyQQhRBihASiEEKMkEAUQogREohCCDFCAlEIIUbIJRdxxmw2k5GRgdVqpaWlhd7eXpktW4gpIoEYZ+x2O6tXr6ajo4N33nlHFpcSYgqN+5C5urqa+++/n7y8PBRF4Y033hj1+Oc+9zkURRl1u/fee0ft09/fzyOPPEJycjKpqal84QtfwO1239QHmS4URUGr1QIQDoeldSjEFBp3IHo8HpYsWcKLL7541X3uvfdeOjo6ordf/vKXox5/5JFHOH36NNu2beOtt96iurqaxx9/fPzVCyHEBBr3IfOmTZvYtGnTNfcxGo1XnSLr7NmzvP322xw6dIgVK1YA8OMf/5j77ruPf/qnfyIvL2+8JQkhxISYlLPMu3btIisri3nz5vGXf/mX9PW9t2zh/v37SU1NjYYhwMaNG9FoNBw8ePCKr+f3+3E6naNuQggx0SY8EO+9915+9rOfUVVVxf/+3/+b3bt3s2nTJsLhMACdnZ1kZWWNeo5Op8Nut9PZ2XnF19y6dSspKSnRW2Fh4USXfU05OTnMmzcPj8dDbW0tLpdrSt9fCDE1Jvws86c+9ano/y9evJiKigpmzZrFrl272LBhww295pYtW9i8eXP0vtPpnNJQLC0tZc6cOezbt4+6urope18hxNSa9IHZZWVlZGRkRIMkJyeH7u7uUfuEQiH6+/uv2u9oNBpJTk4edRNCiIk26YHY2tpKX18fubm5AKxatQqHw8GRI0ei++zYsYNIJEJlZeVklyOEEFc17kNmt9s96rCxsbGR48ePY7fbsdvtfPe73+Whhx4iJyeH+vp6vvGNbzB79mzuueceAObPn8+9997LY489xksvvUQwGOTJJ5/kU5/6lJxhZrg74OTJkyiKwqJFi3A4HDQ3N8e6LCFmhHG3EA8fPsyyZctYtmwZAJs3b2bZsmV85zvfQavVUlNTw0c/+lHmzp3LF77wBZYvX86ePXswGo3R1/jFL35BeXk5GzZs4L777mP16tX827/928R9qgTmdDo5ceIEAwMDLFmyhOLiYhRFiXVZQswI424hrlu37ppXT/z3f//3dV/Dbrfz2muvjfetp1xBQQGZmZkMDQ1x/PjxUcOHhBDTj8x2cw15eXlUVFTg9XqpqalhYGAg1iUJISaRBKIQQoyQQBRCiBESiEIIMUIC8SoURUFV1ZhOvyVTfwkxtWSC2CsoLi6moKAAl8vFvn37LruyZjKlpaVRXl5OMBjk4MGDOJ1OCUYhpoi0ED9Ao9GQnp5OWVkZwWCQurq6KZ1dx2q1MmvWLGw2G/X19XR1dU3Zewsx00kL8X2Ki4spKSnB4XCwd+9eGXcoxAwjLcT3SU1NpaSkBFVVaWxsjMm8i6qqRqdK02q1cpWKEFNIAjHO9Pf3s3fvXrq7u7njjjuYP39+rEsSYsaQQ+Y44/P5aG9vp7CwkNzcXAKBQPSMtxA3Q6PVoGjHecShQjgUhhny6yeBGGfS09OpqKjA4/GwZ88ePB6PhKGYEHNXzaVgUcG4nhMYCnDsj8dw9c2MWeIlEBk+s6zX6wEIBoPRPrxYMJlM5OXl0draSnt7O5FIJGa1iMSm1WrR6Id7xRQUUnJSyCrLus6zRvO5fZiTzfg8vlHb1YhKKDD91gyXQGT47PJdd91FV1cXO3bskDVTxLRQtqKMshVlAKiotPW0sWPnjnG9hk6ro3xjOWaDedR2T7+Hw384jM/tu8ozE5MEImCxWKJLG1xtoaupEg6H8fv9RCIRjEYjwWCQUGj6/UssJo9Wr0Wr12LLsGEvsgPDoxcauxvH/fttMplYuHAhdrt91HadWYcpyRQ9glEjKkFfcGI+QAxJIMaZvr4+du7cid1uZ926dbS3t1NTUyP9iGLMSpeWMveOubR1t7G9ant0u9vlHvdrBfwB3n33XXT60VFhNppZ/uByjPrhiZ8dHQ4OvXko4UNRAjHOBAIBent7sVqtZGRk4HaP/5dYzExagxaDwYDFbsGWbSPUE6Knp+emXjOiRhhwXD4PaHJyMha7BbNl+FA6GApiTjaj0w1HSjgcJuAN3NR7x4IEohDTRPHiYhauW0hrVytV26sY8g5N2nt5PB727N2DVqMFwGa1cfunb0evHT452X2xm8NvHh4espNAJBCFmCbMSWbshXZaB1rp65/cy07D4TAOh2PUNkOKAaNh+BDaPGjGmmYlFBzu/w4FQgSG4r/FKIEohLhpjkEHu3ftjl5qak+1c+fn7kSjGR7203amjSNvHYn7vnAJRCHETQuHwww6B6P3jUYjGosGrW74kNqQYiApM4nAUCCuh+pIIAohJlxvXy87duyIthizM7O564t30VLTwpE/HonbSwElEAG/38/g4CCqqpKSkoLP58Pv98e6LCESVjgcxuV+7wKH5JRkVL2KLklHanYqfrcfr9sbwwqvTGa7AZqamti2bRuqqnL33XdTWloa65KEmFY6OjrYXrUdR9jBhsc2UL6mPNYlXZEEIsPXL3s8HrxeL36/H4PBgN1ux2g0xro0IaaFcDiMx+MhrIax2W0YrfH5tyWB+D4NDQ1s374drVbLxo0bKSoqinVJQogpJIH4Pnq9HqvVCgwPPJVriIWYWeSkyvuUlZWxePFizpw5w/bt2yUQhZhhJBDfx+/3R0ffp6amRrc7nU683vg7IyaEmFgSiO/T2NhIc3MzCxcu5K677opuP3ToEHV1dTGsTAgxFSQQ3yccDhMOh3G73dElSFVVxWg0kpubi8PhkJaiENOYBOIV1NfX09jYCICiKCxfvpyKigoOHjxIQ0NDjKsTQkwWCcQriEQio9YycTgcdHV1YTabKSgooK+vT1qKIm7Y0myk5qWitWppaW5hcHDw+k+aYmazmfT0dIyKkZbTLQy0Xz7HYjyQYTdjcP78eaqrq0lNTWXt2rVkZY1voR4hJlPuvFzWPboOQ66B3dW7o0c38SQ7O5u1a9eSok2h+mfVnD9wPtYlXZG0EMcgEomgqiqKoqDVaqMXrAsxGQwWA9ml2Wh0Y2uvmNJMtLa3MuAYiOmKkdeiKAo6rQ4FZXiORJncQQgxFsmZyaz6xCqMtrFd3nbhwgX27NkjS9ZOAAnEMVJVle7ubgCsVitlZWV0dnYyNDR507SLmUFv0pM3Nw+dYfjPUW/T09rRilavHdPze3t7CUfis2WYaCQQx+H8+fPU19ezevVqCgoK2L17twSiuGmWZAsr/mwF1rThy0Z7envYuWPnmKegU+P1+DMBjTsQq6ureeGFFzhy5AgdHR387ne/44EHHog+frX+te9973t8/etfB6CkpISmpqZRj2/dupVvfvOb4y1nyl2aAl1RlEntS3S73Vy4cIFAIMCcOXMYHBykq6tr0t5PTBxFo5A3Ny8acNejNWqHW4R9wy1Cl9tFKBSSoIuBcQeix+NhyZIlfP7zn+fBBx+87PGOjo5R9//rv/6LL3zhCzz00EOjtj/33HM89thj0ftJSUnjLWVa6+vro6+vj7KyMu644w7q6+slEBOERqehfE05BQsKxrT/4OAg27dvx+2RJWdjbdyBuGnTJjZt2nTVx3Nyckbdf/PNN1m/fj1lZWWjticlJV22r7gyOaudeBSNQiQSoaW1hSHPtbtVfD4fgWD8r0h3M5yDTs6ePUsoEmL+mvkMtA/QWdcZ67IuM6l9iF1dXfzxj3/kP/7jPy577Pnnn+fv//7vKSoq4tOf/jRPPfVUdJHrD/L7/aP6U5xO56TVLMRECYfD1J6rpaOz4/o7T3N9/X309fcxe9Zsbn/gdmrfqZ15gfgf//EfJCUlXXZo/dWvfpVbbrkFu93Ovn372LJlCx0dHXz/+9+/4uts3bqV7373u5NZ6phFIhFaWlpwu92kpaWRlJREc3Mzbve1D3cMBgMlJSUYDIZxvZ9Go+H06dP09vbeTNliCiiKQuGiQpKzkulz9dF3tm/UuiICBgYGOH36NBFthEUbFtHb1BtXwTipgfjv//7vPPLII5hMplHbN2/eHP3/iooKDAYDX/rSl9i6desVp+3fsmXLqOc4nU4KCwsnr/DraGhoQKvVcuedd5Kbm8vAwMB1A9FkMrF48WJsNtu432vv3r1xv56tGD5MLru1jIIFBezatYvWttZYlxR3LrUUy+eVU/mRSk7vOj0zAnHPnj3U1tby61//+rr7VlZWEgqFuHjxIvPmzbvscaPRmLDrmxgMBsrKyjCZTNTX14/7+QMDAxKGCUjOEF9bT28Px08cRzEoLL13KV31XXRciH3XwqQF4ssvv8zy5ctZsmTJdfc9fvw4Go1mWl4jbDAYKC8vR1EUtm3bdt2WpBAzwaVRFAsXLmTFHSuo+e+axAxEt9s9arLUxsZGjh8/jt1ujy7K5HQ6+e1vf8s///M/X/b8/fv3c/DgQdavX09SUhL79+/nqaee4jOf+QxpaWk38VGmViQSob6+np6eHnJycsjLy7vifqqq0tDQMHwmMTC9zyQKMV5dnV0cPXIUrU3L8o8sj253/cFFW1vblNcz7kA8fPgw69evj96/1Lf36KOP8uqrrwLwq1/9ClVVefjhhy97vtFo5Fe/+hXPPvssfr+f0tJSnnrqqVF9hIlAVVWamprQ6XSsX7/+qoHodrvZvn17XE7JJCaB+r7DZTlqvq7e3l56e3upWFLBktvfO5o8feJ0TOpR1ATsoHI6naSkpEzY69lstht+PUVRKCgoiK7W90HBYJCWlhZpHU5zZSvKSC9Mx6f3EVACtLa24vF4Yl1WwkhPTyczKzN639/rx+8Yfemiqqo0HG6gv72f2Stnk5Y7tiPKcDDM0T8eZXBwkOTk5GvuK9cyM9yKu5m+vdZWOZs4oylQZivDVmLjaPVRmpubY11Rwvng4fHyFctZeOfCUdsi4Qi9Tb0Mdg1SsLCAosVjWzc94Atw9I9Hx7SvBKIQIu40NTXhHLz8Agz7HDs5c3LocfXQtm9sfYzh4NhnApJAFELEnd6eXnp7PnAxggJrVq+hsKiQ6t3VYz8yG8fMaBKIQojEoEJtbS2tba309fdNyltIIApxk7RaLSpqdKkJMXm6u7uhe/JeXwJRiJswd9Vccufm0jPUQ/M7zXLNeYKTVfeEuAnpRekUVRThDXtpbmqW5WkTnASiEEKMkENmIW6ARqsZXiZUgWAoKCveTRMSiELcgDmr5lC4sJD2/nZ27dqFw+GIdUliAsghs5hZFNAb9dElPhWNMur+WKVkpZA3L48AATo7OvF5fZNRrZhiEohiRrHn21n7ubVUfKgCRauQXZbN+s+vZ8GdC2JdmogDcsgsph2D2QBXWZfLkmohNS+VUCCEyWbCnGomJT8Fl8OFyWa6al9gOBgmHAyj1WvRGXSoqPh8PsJhWSB+OpHZbsS0Yk21cuuDt2JJtlzxcafbyfnm8yRbk5ldOBuHy0F9az32FDtlBWUoV0nS8/vOU/duHeVryilbXsbF9ot09XXhcrsI+GUmo7gWBk4is92ImcFoNaLRDvf+WFItWDOsWFKuHIjuiJu+vj60Wi2WTAuOgIOe3h7MFjOWDAsa5cq9SJZ0C+ZkMxa7BWumFX+rn76+ybl8TMSOtBBFQjPajNz20G0kZSYB4PV5OV13etSyte8XDAVxu9zo9DpsNhvBQBCPx4PBYLjqnJYARXlFFOYWcrH1Im1dbXiGPNIyTBTSQhQzgclmwpJmwZhqxJgyvAhZQBtg0DmId+jaV4yEgiEcA47o/UAgcM1JfHNzczGkGPA3+xkYGJiQ+kX8kUAUCclgNlD5UCVmu5kT507gOT48O3UkEpmUITB19XW0trXK8JppLiEDMQGP8sVE0wwfLhttRjwuzxUnE51IgaEAgSE5RE5IIwMBxpIbCdmH2NraGtOF6oUQiaelpYWCgoJr7pOQgRiJRKitrWXBggW0tLRct6M0XjmdTgoLC+UzxJh8hvgwWZ9BVVVcLhd5eXloNNe+FiUhD5k1Gg35+fkAJCcnJ+wvwCXyGeKDfIb4MBmfYayjUuTSPSGEGCGBKIQQIxI2EI1GI8888wxGozHWpdww+QzxQT5DfIiHz5CQJ1WEEGIyJGwLUQghJpoEohBCjJBAFEKIERKIQggxQgJRCCFGJGwgvvjii5SUlGAymaisrOTdd9+NdUlXtHXrVm699VaSkpLIysrigQceoLa2dtQ+69atQ1GUUbcvf/nLMar4cs8+++xl9ZWXl0cf9/l8PPHEE6Snp2Oz2XjooYfo6uqKYcWXKykpuewzKIrCE088AcTnd1BdXc39999PXl4eiqLwxhtvjHpcVVW+853vkJubi9lsZuPGjVy4cGHUPv39/TzyyCMkJyeTmprKF77wBdxud1x8hmAwyNNPP83ixYuxWq3k5eXx2c9+lvb29lGvcaXv7vnnn5+UehMyEH/961+zefNmnnnmGY4ePcqSJUu455576O7ujnVpl9m9ezdPPPEEBw4cYNu2bQSDQT70oQ/h8XhG7ffYY4/R0dERvX3ve9+LUcVXtnDhwlH17d27N/rYU089xR/+8Ad++9vfsnv3btrb23nwwQdjWO3lDh06NKr+bdu2AfDxj388uk+8fQcej4clS5bw4osvXvHx733ve/zoRz/ipZde4uDBg1itVu655x58vvemKHvkkUc4ffo027Zt46233qK6uprHH398qj7CNT/D0NAQR48e5dvf/jZHjx7l9ddfp7a2lo9+9KOX7fvcc8+N+m6+8pWvTE7BagJauXKl+sQTT0Tvh8NhNS8vT926dWsMqxqb7u5uFVB3794d3XbnnXeqX/va12JX1HU888wz6pIlS674mMPhUPV6vfrb3/42uu3s2bMqoO7fv3+KKhy/r33ta+qsWbPUSCSiqmr8fweA+rvf/S56PxKJqDk5OeoLL7wQ3eZwOFSj0aj+8pe/VFVVVc+cOaMC6qFDh6L7/Nd//ZeqKIra1tY2ZbVf8sHPcCXvvvuuCqhNTU3RbcXFxeoPfvCDyS1uRMK1EAOBAEeOHGHjxo3RbRqNho0bN7J///4YVjY2g4ODANjt9lHbf/GLX5CRkcGiRYvYsmULQ0NDsSjvqi5cuEBeXh5lZWU88sgjNDc3A3DkyBGCweCo76O8vJyioqK4/T4CgQA///nP+fznP4+ivLeoVLx/B+/X2NhIZ2fnqJ97SkoKlZWV0Z/7/v37SU1NZcWKFdF9Nm7ciEaj4eDBg1Ne81gMDg6iKAqpqamjtj///POkp6ezbNkyXnjhBUKh0KS8f8LNdtPb20s4HCY7O3vU9uzsbM6dOxejqsYmEonw13/919xxxx0sWrQouv3Tn/40xcXF5OXlUVNTw9NPP01tbS2vv/56DKt9T2VlJa+++irz5s2jo6OD7373u6xZs4ZTp07R2dmJwWC47Bc4Ozubzs7O2BR8HW+88QYOh4PPfe5z0W3x/h180KWf7ZX+Di491tnZSVZW1qjHdToddrs9Lr8bn8/H008/zcMPPzxqtpuvfvWr3HLLLdjtdvbt28eWLVvo6Ojg+9///oTXkHCBmMieeOIJTp06Nar/DRjVp7N48WJyc3PZsGED9fX1zJo1a6rLvMymTZui/19RUUFlZSXFxcX85je/wWw2x7CyG/Pyyy+zadMm8vLyotvi/TuY7oLBIJ/4xCdQVZWf/vSnox7bvHlz9P8rKiowGAx86UtfYuvWrRN+3XPCHTJnZGSg1WovO4vZ1dVFTk5OjKq6vieffJK33nqLnTt3XnfW3srKSgDq6uqmorRxS01NZe7cudTV1ZGTk0MgEMDhcIzaJ16/j6amJrZv384Xv/jFa+4X79/BpZ/ttf4OcnJyLjvRGAqF6O/vj6vv5lIYNjU1sW3btuvOhVhZWUkoFOLixYsTXkvCBaLBYGD58uVUVVVFt0UiEaqqqli1alUMK7syVVV58skn+d3vfseOHTsoLS297nOOHz8ODK/0Fo/cbjf19fXk5uayfPly9Hr9qO+jtraW5ubmuPw+XnnlFbKysvjwhz98zf3i/TsoLS0lJydn1M/d6XRy8ODB6M991apVOBwOjhw5Et1nx44dRCKRaODH2qUwvHDhAtu3byc9Pf26zzl+/Dgajeay7oAJMSWnbibYr371K9VoNKqvvvqqeubMGfXxxx9XU1NT1c7OzliXdpm//Mu/VFNSUtRdu3apHR0d0dvQ0JCqqqpaV1enPvfcc+rhw4fVxsZG9c0331TLysrUtWvXxrjy9/zN3/yNumvXLrWxsVF955131I0bN6oZGRlqd3e3qqqq+uUvf1ktKipSd+zYoR4+fFhdtWqVumrVqhhXfblwOKwWFRWpTz/99Kjt8foduFwu9dixY+qxY8dUQP3+97+vHjt2LHoG9vnnn1dTU1PVN998U62pqVH/7M/+TC0tLVW9Xm/0Ne6991512bJl6sGDB9W9e/eqc+bMUR9++OG4+AyBQED96Ec/qhYUFKjHjx8f9ffh9/tVVVXVffv2qT/4wQ/U48ePq/X19erPf/5zNTMzU/3sZz87KfUmZCCqqqr++Mc/VouKilSDwaCuXLlSPXDgQKxLuiLgirdXXnlFVVVVbW5uVteuXava7XbVaDSqs2fPVr/+9a+rg4ODsS38fT75yU+qubm5qsFgUPPz89VPfvKTal1dXfRxr9er/tVf/ZWalpamWiwW9WMf+5ja0dERw4qv7L//+79VQK2trR21PV6/g507d17xd+fRRx9VVXV46M23v/1tNTs7WzUajeqGDRsu+2x9fX3qww8/rNpsNjU5OVn9i7/4C9XlcsXFZ2hsbLzq38fOnTtVVVXVI0eOqJWVlWpKSopqMpnU+fPnq//4j/+o+ny+SalX5kMUQogRCdeHKIQQk0UCUQghRkggCiHECAlEIYQYIYEohBAjJBCFEGKEBKIQQoyQQBRCiBESiEIIMUICUQghRkggCiHEiP8fgp3GTnUXiRMAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 360 object 46 diff -575\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"for i, object_number, diff, x_min, x_max, y_min, y_max in (\n",
" df.set_index([\"ImageNumber\", \"ObjectNumber\"])\n",
" .loc[[\n",
" (822, 103),\n",
" (501, 43),\n",
" (901, 46),\n",
" (360, 46),\n",
" ]]\n",
" .reset_index()\n",
" [[\"ImageNumber\", \"ObjectNumber\", \"diff\", *BBOX_COLS]]\n",
" .itertuples(index=False)\n",
"):\n",
" print(f\"Image {i} object {object_number} diff {diff}\")\n",
" show_cell(\n",
" results[i - 1][0],\n",
" outlines[i - 1],\n",
" x_min,\n",
" x_max,\n",
" y_min,\n",
" y_max,\n",
" expand=10,\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "dfc168de",
"metadata": {},
"source": [
"### Near edge of an image:\n",
"\n",
"Broadly I am unconvinced that these are real, and might be an artifact of a cell outside the frame not having a nucleus in the frame:"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "550df2f0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 936 object 17 diff -4508\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 35 object 11 diff -3640\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 671 object 5 diff -1552\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"for i, object_number, diff, x_min, x_max, y_min, y_max in (\n",
" df.set_index([\"ImageNumber\", \"ObjectNumber\"])\n",
" .loc[[\n",
" (936, 17),\n",
" (35, 11),\n",
" (671, 5),\n",
" ]]\n",
" .reset_index()\n",
" [[\"ImageNumber\", \"ObjectNumber\", \"diff\", *BBOX_COLS]]\n",
" .itertuples(index=False)\n",
"):\n",
" print(f\"Image {i} object {object_number} diff {diff}\")\n",
" show_cell(\n",
" results[i - 1][0],\n",
" outlines[i - 1],\n",
" x_min,\n",
" x_max,\n",
" y_min,\n",
" y_max,\n",
" expand=10,\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "754d10c7",
"metadata": {},
"source": [
"### Both"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "d0874b99",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 105 object 21 diff -953\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 497 object 6 diff -396\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"for i, object_number, diff, x_min, x_max, y_min, y_max in (\n",
" df.set_index([\"ImageNumber\", \"ObjectNumber\"])\n",
" .loc[[\n",
" (105, 21),\n",
" (497, 6),\n",
" ]]\n",
" .reset_index()\n",
" [[\"ImageNumber\", \"ObjectNumber\", \"diff\", *BBOX_COLS]]\n",
" .itertuples(index=False)\n",
"):\n",
" print(f\"Image {i} object {object_number} diff {diff}\")\n",
" show_cell(\n",
" results[i - 1][0],\n",
" outlines[i - 1],\n",
" x_min,\n",
" x_max,\n",
" y_min,\n",
" y_max,\n",
" expand=10,\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "17b6c2be",
"metadata": {},
"source": [
"### That just looks wrong to me"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "a4a744dd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 135 object 79 diff -630\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 901 object 40 diff -546\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Image 99 object 41 diff -429\n"
]
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"for i, object_number, diff, x_min, x_max, y_min, y_max in (\n",
" df.set_index([\"ImageNumber\", \"ObjectNumber\"])\n",
" .loc[[\n",
" (135, 79),\n",
" (901, 40),\n",
" (99, 41),\n",
" ]]\n",
" .reset_index()\n",
" [[\"ImageNumber\", \"ObjectNumber\", \"diff\", *BBOX_COLS]]\n",
" .itertuples(index=False)\n",
"):\n",
" print(f\"Image {i} object {object_number} diff {diff}\")\n",
" show_cell(\n",
" results[i - 1][0],\n",
" outlines[i - 1],\n",
" x_min,\n",
" x_max,\n",
" y_min,\n",
" y_max,\n",
" expand=10,\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "d4dcbb91",
"metadata": {},
"source": [
"### To view more:\n",
"\n",
"I have only shown a subset of the failures here, but you can view more with the following code:\n",
"\n",
"```python\n",
"for i, object_number, diff, x_min, x_max, y_min, y_max in (\n",
" df[df[\"diff\"] < -300]\n",
" .sort_values(\"diff\")\n",
" [[\"ImageNumber\", \"ObjectNumber\", \"diff\", *BBOX_COLS]]\n",
" .itertuples(index=False)\n",
"):\n",
" print(f\"Image {i} object {object_number} diff {diff}\")\n",
" show_cell(\n",
" results[i - 1][0],\n",
" outlines[i - 1],\n",
" x_min,\n",
" x_max,\n",
" y_min,\n",
" y_max,\n",
" expand=10,\n",
" )\n",
"```"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "imaging",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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