927 lines
377 KiB
Text
927 lines
377 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "ae9b8ff2-033e-4e48-926a-62c43535bba4",
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"metadata": {},
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"outputs": [],
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"source": [
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"import ethoscopy as etho\n",
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"import pandas as pd\n",
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"from scipy.stats import mannwhitneyu\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import seaborn as sns\n",
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"from scipy.stats import wilcoxon, shapiro, ttest_rel"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "6cbb4f52-dd5f-4888-9c9e-ba4f1f6dc429",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'2.1.0'"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"etho.__version__"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"id": "dc5c910a-b8ac-4574-87f6-3df51839a50e",
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"metadata": {},
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"outputs": [],
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"source": [
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"meta = '/home/rdingjin/UASxGal4_2026-05-05/metadata_phase6_60D(1.5).csv' \n",
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"local = '/mnt/ethoscope_results'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"id": "78e2a925-62ab-4c2c-bd11-e27e1b6789f5",
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"metadata": {},
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"outputs": [],
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"source": [
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"metadata = etho.link_meta_index(meta, local)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"id": "65d71cd5-21c5-4cc0-a19b-7de730b45a65",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Loading ROI_1 from ETHOSCOPE_130\n",
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"Loading ROI_2 from ETHOSCOPE_130\n",
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"Loading ROI_3 from ETHOSCOPE_130\n",
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"Loading ROI_4 from ETHOSCOPE_130\n",
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"Loading ROI_5 from ETHOSCOPE_130\n",
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"Loading ROI_6 from ETHOSCOPE_130\n",
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"Loading ROI_7 from ETHOSCOPE_130\n",
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"Loading ROI_8 from ETHOSCOPE_130\n",
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"Loading ROI_9 from ETHOSCOPE_130\n",
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"Loading ROI_10 from ETHOSCOPE_130\n",
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"Loading ROI_11 from ETHOSCOPE_130\n",
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"Loading ROI_12 from ETHOSCOPE_130\n",
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"Loading ROI_13 from ETHOSCOPE_130\n",
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"Loading ROI_14 from ETHOSCOPE_130\n",
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"Loading ROI_15 from ETHOSCOPE_130\n",
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"Loading ROI_16 from ETHOSCOPE_130\n",
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"Loading ROI_17 from ETHOSCOPE_130\n",
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"Loading ROI_18 from ETHOSCOPE_130\n",
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"Loading ROI_19 from ETHOSCOPE_130\n",
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"Loading ROI_20 from ETHOSCOPE_130\n"
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]
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}
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],
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"source": [
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"data = etho.load_ethoscope(metadata, reference_hour = 9.0, FUN = etho.sleep_annotation)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"id": "a2c12f1d-3ca9-469b-9447-7d117f320006",
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"metadata": {},
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"outputs": [],
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"source": [
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"df = etho.behavpy(data, metadata, check = True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"id": "e256c265-07b7-4d90-96ed-44d2aa76f14d",
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"metadata": {},
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"outputs": [],
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"source": [
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"df.to_pickle('/home/rdingjin/UASxGal4_2026-05-05/phase6.5.pkl')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"id": "1ee0efda-db87-4de1-8ee0-dea02fd3348f",
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"metadata": {},
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"outputs": [],
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"source": [
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"import ethoscopy as etho\n",
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"import pandas as pd\n",
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"from scipy.stats import mannwhitneyu\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import seaborn as sns\n",
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"from scipy.stats import wilcoxon, shapiro, ttest_rel\n",
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"df = pd.read_pickle('/home/rdingjin/UASxGal4_2026-05-05/phase6.5.pkl')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"id": "b3073dcc-7801-45dc-a24a-3e2e91006bdf",
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"metadata": {},
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"outputs": [],
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"source": [
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"df = df.baseline(column = 'baseline')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"id": "124a805c-1cf8-44d0-b114-71329cb0ede5",
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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" ==== METADATA ====\n",
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"\n",
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" date machine_name region_id \\\n",
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"id \n",
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"2026-05-06_12-33-12_13005e|01 2026-05-06 ETHOSCOPE_130 1 \n",
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"2026-05-06_12-33-12_13005e|02 2026-05-06 ETHOSCOPE_130 2 \n",
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"2026-05-06_12-33-12_13005e|03 2026-05-06 ETHOSCOPE_130 3 \n",
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"2026-05-06_12-33-12_13005e|04 2026-05-06 ETHOSCOPE_130 4 \n",
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"2026-05-06_12-33-12_13005e|05 2026-05-06 ETHOSCOPE_130 5 \n",
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"2026-05-06_12-33-12_13005e|06 2026-05-06 ETHOSCOPE_130 6 \n",
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"2026-05-06_12-33-12_13005e|07 2026-05-06 ETHOSCOPE_130 7 \n",
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"2026-05-06_12-33-12_13005e|08 2026-05-06 ETHOSCOPE_130 8 \n",
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"2026-05-06_12-33-12_13005e|09 2026-05-06 ETHOSCOPE_130 9 \n",
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"2026-05-06_12-33-12_13005e|10 2026-05-06 ETHOSCOPE_130 10 \n",
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"2026-05-06_12-33-12_13005e|11 2026-05-06 ETHOSCOPE_130 11 \n",
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"2026-05-06_12-33-12_13005e|12 2026-05-06 ETHOSCOPE_130 12 \n",
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"2026-05-06_12-33-12_13005e|13 2026-05-06 ETHOSCOPE_130 13 \n",
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"2026-05-06_12-33-12_13005e|14 2026-05-06 ETHOSCOPE_130 14 \n",
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"2026-05-06_12-33-12_13005e|15 2026-05-06 ETHOSCOPE_130 15 \n",
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"2026-05-06_12-33-12_13005e|16 2026-05-06 ETHOSCOPE_130 16 \n",
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"2026-05-06_12-33-12_13005e|17 2026-05-06 ETHOSCOPE_130 17 \n",
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"2026-05-06_12-33-12_13005e|18 2026-05-06 ETHOSCOPE_130 18 \n",
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"2026-05-06_12-33-12_13005e|19 2026-05-06 ETHOSCOPE_130 19 \n",
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"2026-05-06_12-33-12_13005e|20 2026-05-06 ETHOSCOPE_130 20 \n",
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"\n",
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" sleep_deprived species \\\n",
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"id \n",
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"2026-05-06_12-33-12_13005e|01 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|02 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|03 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|04 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|05 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|06 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|07 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|08 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|09 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|10 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|11 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|12 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|13 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|14 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|15 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|16 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|17 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|18 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|19 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"2026-05-06_12-33-12_13005e|20 True UAS_ChRmine_attP5 x 60D05_Gal4 \n",
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"\n",
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" food baseline sex time \n",
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"id \n",
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"2026-05-06_12-33-12_13005e|01 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|02 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|03 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|04 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|05 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|06 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|07 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|08 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|09 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|10 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|11 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|12 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|13 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|14 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|15 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|16 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|17 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|18 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|19 normal_food 0 male 12-33-12 \n",
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"2026-05-06_12-33-12_13005e|20 normal_food 0 male 12-33-12 \n",
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" ====== DATA ======\n",
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"\n",
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" t x y w \\\n",
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"id \n",
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"2026-05-06_12-33-12_13005e|01 12790 278.000000 48.500000 29.666667 \n",
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"2026-05-06_12-33-12_13005e|01 12800 47.695652 55.434783 18.956522 \n",
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"2026-05-06_12-33-12_13005e|01 12810 9.142857 56.714286 9.476190 \n",
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"2026-05-06_12-33-12_13005e|01 12820 52.040000 47.640000 36.040000 \n",
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"2026-05-06_12-33-12_13005e|01 12830 173.782609 42.826087 33.913043 \n",
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"... ... ... ... ... \n",
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"2026-05-06_12-33-12_13005e|20 381150 237.352941 30.764706 29.941176 \n",
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"2026-05-06_12-33-12_13005e|20 381160 246.190476 31.380952 29.857143 \n",
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"2026-05-06_12-33-12_13005e|20 381170 419.318182 25.772727 28.636364 \n",
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"2026-05-06_12-33-12_13005e|20 381180 514.478261 22.478261 26.956522 \n",
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"2026-05-06_12-33-12_13005e|20 381190 347.000000 28.888889 29.555556 \n",
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"\n",
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" h phi max_velocity \\\n",
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"id \n",
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"2026-05-06_12-33-12_13005e|01 14.833333 29.833333 205.531667 \n",
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"2026-05-06_12-33-12_13005e|01 11.086957 96.608696 32.053743 \n",
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"2026-05-06_12-33-12_13005e|01 6.095238 142.142857 21.080395 \n",
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"2026-05-06_12-33-12_13005e|01 6.200000 118.280000 143.178809 \n",
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"2026-05-06_12-33-12_13005e|01 16.739130 77.434783 116.380105 \n",
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"... ... ... ... \n",
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"2026-05-06_12-33-12_13005e|20 11.294118 72.647059 1.636360 \n",
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"2026-05-06_12-33-12_13005e|20 11.428571 43.333333 7.376982 \n",
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"2026-05-06_12-33-12_13005e|20 10.590909 49.227273 19.993036 \n",
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"2026-05-06_12-33-12_13005e|20 9.304348 22.086957 15.201231 \n",
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"2026-05-06_12-33-12_13005e|20 11.555556 36.777778 23.816544 \n",
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"\n",
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" mean_velocity dist has_interacted \\\n",
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"id \n",
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"2026-05-06_12-33-12_13005e|01 47.979875 0.863638 0.0 \n",
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"2026-05-06_12-33-12_13005e|01 19.209750 1.325473 0.0 \n",
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"2026-05-06_12-33-12_13005e|01 7.528680 0.474307 0.0 \n",
|
|
"2026-05-06_12-33-12_13005e|01 43.262358 3.244677 0.0 \n",
|
|
"2026-05-06_12-33-12_13005e|01 25.457482 1.756566 0.0 \n",
|
|
"... ... ... ... \n",
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"2026-05-06_12-33-12_13005e|20 0.957856 0.048851 0.0 \n",
|
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"2026-05-06_12-33-12_13005e|20 1.726868 0.108793 0.0 \n",
|
|
"2026-05-06_12-33-12_13005e|20 10.336256 0.682193 0.0 \n",
|
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"2026-05-06_12-33-12_13005e|20 10.050184 0.693463 0.0 \n",
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"2026-05-06_12-33-12_13005e|20 13.449352 0.363133 0.0 \n",
|
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"\n",
|
|
" beam_cross moving micro walk \\\n",
|
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"id \n",
|
|
"2026-05-06_12-33-12_13005e|01 0.0 True False True \n",
|
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"2026-05-06_12-33-12_13005e|01 0.0 True False True \n",
|
|
"2026-05-06_12-33-12_13005e|01 0.0 True False True \n",
|
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"2026-05-06_12-33-12_13005e|01 0.0 True False True \n",
|
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"2026-05-06_12-33-12_13005e|01 0.0 True False True \n",
|
|
"... ... ... ... ... \n",
|
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"2026-05-06_12-33-12_13005e|20 0.0 True True False \n",
|
|
"2026-05-06_12-33-12_13005e|20 0.0 True False True \n",
|
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"2026-05-06_12-33-12_13005e|20 0.0 True False True \n",
|
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"2026-05-06_12-33-12_13005e|20 0.0 True False True \n",
|
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"2026-05-06_12-33-12_13005e|20 0.0 True False True \n",
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"\n",
|
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" is_interpolated asleep \n",
|
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"id \n",
|
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"2026-05-06_12-33-12_13005e|01 False False \n",
|
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"2026-05-06_12-33-12_13005e|01 False False \n",
|
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"2026-05-06_12-33-12_13005e|01 False False \n",
|
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"2026-05-06_12-33-12_13005e|01 False False \n",
|
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"2026-05-06_12-33-12_13005e|01 False False \n",
|
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"... ... ... \n",
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"2026-05-06_12-33-12_13005e|20 False False \n",
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"2026-05-06_12-33-12_13005e|20 False False \n",
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"2026-05-06_12-33-12_13005e|20 False False \n",
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"2026-05-06_12-33-12_13005e|20 False False \n",
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"2026-05-06_12-33-12_13005e|20 False False \n",
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"\n",
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"[736658 rows x 16 columns]\n"
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]
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}
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],
|
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"source": [
|
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"df.display()"
|
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]
|
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},
|
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{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"id": "de0b9beb-7861-4091-b443-1913e4aa04b8",
|
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"metadata": {},
|
|
"outputs": [
|
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/srv/venv/lib/python3.12/site-packages/ethoscopy/behavpy_core.py:1611: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
|
|
" tdf.groupby(\"id\", group_keys=False).apply(\n"
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]
|
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},
|
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{
|
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 900x200 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"start_hour = 0\n",
|
|
"end_hour = 120\n",
|
|
"fig = df.t_filter(start_time=start_hour, end_time=end_hour).heatmap(variable = 'asleep')\n",
|
|
"fig.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"id": "57702793-afd1-4824-b360-50f41cd2161e",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Task was destroyed but it is pending!\n",
|
|
"task: <Task pending name='Task-357' coro=<_async_in_context.<locals>.run_in_context() done, defined at /srv/venv/lib/python3.12/site-packages/ipykernel/utils.py:57> wait_for=<Task pending name='Task-358' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]> cb=[ZMQStream._run_callback.<locals>._log_error() at /srv/venv/lib/python3.12/site-packages/zmq/eventloop/zmqstream.py:563]>\n",
|
|
"/srv/venv/lib/python3.12/site-packages/matplotlib/colors.py:221: RuntimeWarning: coroutine 'Kernel.shell_main' was never awaited\n",
|
|
" return isinstance(c, str) and _nth_color_re.match(c)\n",
|
|
"Task was destroyed but it is pending!\n",
|
|
"task: <Task pending name='Task-358' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]>\n",
|
|
"Task was destroyed but it is pending!\n",
|
|
"task: <Task pending name='Task-428' coro=<_async_in_context.<locals>.run_in_context() done, defined at /srv/venv/lib/python3.12/site-packages/ipykernel/utils.py:57> wait_for=<Task pending name='Task-429' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]> cb=[ZMQStream._run_callback.<locals>._log_error() at /srv/venv/lib/python3.12/site-packages/zmq/eventloop/zmqstream.py:563]>\n",
|
|
"Task was destroyed but it is pending!\n",
|
|
"task: <Task pending name='Task-429' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]>\n",
|
|
"Task was destroyed but it is pending!\n",
|
|
"task: <Task pending name='Task-446' coro=<_async_in_context.<locals>.run_in_context() done, defined at /srv/venv/lib/python3.12/site-packages/ipykernel/utils.py:57> wait_for=<Task pending name='Task-447' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]> cb=[ZMQStream._run_callback.<locals>._log_error() at /srv/venv/lib/python3.12/site-packages/zmq/eventloop/zmqstream.py:563]>\n",
|
|
"Task was destroyed but it is pending!\n",
|
|
"task: <Task pending name='Task-447' coro=<Kernel.shell_main() running at /srv/venv/lib/python3.12/site-packages/ipykernel/kernelbase.py:597> cb=[Task.task_wakeup()]>\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1200x475 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"start_hour = 0\n",
|
|
"end_hour = 120\n",
|
|
"\n",
|
|
"# Generate plot from Ethoscopy\n",
|
|
"fig = df.t_filter(start_time=start_hour, end_time=end_hour).plot_overtime(variable='asleep', avg_window=30, grids=True)\n",
|
|
"\n",
|
|
"# Extract the main axis from the figure\n",
|
|
"ax = fig.axes[0]\n",
|
|
"\n",
|
|
"# Add shading stimulus shading\n",
|
|
"# Draw a vertical span from ZT 48 to ZT 72\n",
|
|
"ax.axvspan(72, 96, color='#ff4c4c', alpha=0.3, zorder=1)\n",
|
|
"\n",
|
|
"# Set custom labels\n",
|
|
"ax.set_xlabel(\"Zeitgeber Time (Hours)\", fontsize=12)\n",
|
|
"ax.set_ylabel(\"Fraction of Time Asleep\", fontsize=12)\n",
|
|
"\n",
|
|
"# Show plot\n",
|
|
"fig.show()\n",
|
|
"\n",
|
|
"# Save as a high-resolution PNG\n",
|
|
"plt.savefig(\"Figure_6(11H)_1.png\", dpi=600, bbox_inches='tight')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 26,
|
|
"id": "f64dea93-8b25-462e-9e75-e47a3703f5e9",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"--- Individual Fly Sleep (Baseline: 0h to 72h, Averaged per day) ---\n",
|
|
" Fly_Label Base_Sleep_24h Base_Day_12h Base_Night_12h\n",
|
|
"ETHOSCOPE_130 - Fly 01 12.987037 5.466313 8.060185\n",
|
|
"ETHOSCOPE_130 - Fly 02 12.596296 3.925349 9.058333\n",
|
|
"ETHOSCOPE_130 - Fly 03 15.678704 6.970294 9.396296\n",
|
|
"ETHOSCOPE_130 - Fly 04 13.529630 5.893673 8.217593\n",
|
|
"ETHOSCOPE_130 - Fly 05 12.645370 5.422139 7.758333\n",
|
|
"ETHOSCOPE_130 - Fly 06 12.453704 4.972177 7.972222\n",
|
|
"ETHOSCOPE_130 - Fly 07 14.175000 5.282754 9.414815\n",
|
|
"ETHOSCOPE_130 - Fly 08 13.436111 5.295205 8.663889\n",
|
|
"ETHOSCOPE_130 - Fly 09 11.844444 5.215649 7.143519\n",
|
|
"ETHOSCOPE_130 - Fly 10 12.092593 4.393802 8.132407\n",
|
|
"ETHOSCOPE_130 - Fly 11 11.253704 4.912828 6.826852\n",
|
|
"ETHOSCOPE_130 - Fly 12 8.652778 4.488440 4.608333\n",
|
|
"ETHOSCOPE_130 - Fly 13 9.696296 3.550381 6.496296\n",
|
|
"ETHOSCOPE_130 - Fly 14 7.824074 3.367520 4.788889\n",
|
|
"ETHOSCOPE_130 - Fly 15 8.329630 3.111720 5.525000\n",
|
|
"ETHOSCOPE_130 - Fly 16 8.271296 4.223269 4.464815\n",
|
|
"ETHOSCOPE_130 - Fly 17 14.373148 6.240945 8.749074\n",
|
|
"ETHOSCOPE_130 - Fly 18 10.652778 3.946557 7.097222\n",
|
|
"ETHOSCOPE_130 - Fly 19 10.646296 4.459550 6.626852\n",
|
|
"ETHOSCOPE_130 - Fly 20 9.196296 4.010616 5.581481\n",
|
|
"... (Showing first 20 rows)\n",
|
|
"\n",
|
|
"--- Grand Summary Statistics (Baseline: 0h to 72h) ---\n",
|
|
"Total Flies Analyzed: n = 20\n",
|
|
"\n",
|
|
"[ OVERALL SLEEP (Scaled to 24h Baseline Average) ]\n",
|
|
"Mean ± SEM: 11.52 ± 0.51 hours\n",
|
|
"Median: 11.97 hours\n",
|
|
"\n",
|
|
"[ DAY TIME (ZT 0-12, Averaged to 12h blocks) ]\n",
|
|
"Mean ± SEM: 4.76 ± 0.22 hours\n",
|
|
"Median: 4.70 hours\n",
|
|
"\n",
|
|
"[ NIGHT TIME (ZT 12-24, Averaged to 12h blocks) ]\n",
|
|
"Mean ± SEM: 7.23 ± 0.35 hours\n",
|
|
"Median: 7.45 hours\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# BASELINE\n",
|
|
"\n",
|
|
"# Define baseline time period\n",
|
|
"start_hour = 0\n",
|
|
"end_hour = 72\n",
|
|
"\n",
|
|
"# Filter the dataset to ONLY include data within specific baseline window\n",
|
|
"base_df = df.t_filter(start_time=start_hour, end_time=end_hour).copy()\n",
|
|
"\n",
|
|
"# Calculate Overall 24h Baseline Average\n",
|
|
"sleep_hours = (base_df.groupby('id')['asleep'].sum() * 10) / 3600\n",
|
|
"\n",
|
|
"# (72 - 0) / 24 evaluates to exactly 3 days. \n",
|
|
"# Dividing total sleep by 3 to average the 72 hours into a single 24-hour metric\n",
|
|
"days_tracked = (end_hour - start_hour) / 24 \n",
|
|
"base_overall = (sleep_hours / days_tracked).reset_index(name='Base_Sleep_24h')\n",
|
|
"\n",
|
|
"# Calculate Day/Night 12h Baseline Averages\n",
|
|
"base_df['zt_hour'] = (base_df['t'] / 3600) % 24\n",
|
|
"base_df['Phase'] = np.where(base_df['zt_hour'] < 12, 'Day', 'Night')\n",
|
|
"\n",
|
|
"base_phase = base_df.groupby(['id', 'Phase']).agg(\n",
|
|
" total_sleep_epochs=('asleep', 'sum'),\n",
|
|
" total_tracking_epochs=('t', 'count')\n",
|
|
").reset_index()\n",
|
|
"\n",
|
|
"# Tracking_Hours will be ~24 for Day and ~24 for Night \n",
|
|
"# Dividing sleep by tracking hours and multiplying by 12 averages it to a single 12h block.\n",
|
|
"base_phase['Sleep_Hours'] = (base_phase['total_sleep_epochs'] * 10) / 3600\n",
|
|
"base_phase['Tracking_Hours'] = (base_phase['total_tracking_epochs'] * 10) / 3600\n",
|
|
"base_phase['Base_Sleep_12h'] = (base_phase['Sleep_Hours'] / base_phase['Tracking_Hours']) * 12\n",
|
|
"\n",
|
|
"base_pivot = base_phase.pivot(index='id', columns='Phase', values='Base_Sleep_12h').reset_index()\n",
|
|
"# Rename columns\n",
|
|
"base_pivot.columns = ['id', 'Base_Day_12h', 'Base_Night_12h']\n",
|
|
"\n",
|
|
"# Merge and clean up data\n",
|
|
"merged_df = pd.merge(base_overall, base_pivot, on='id')\n",
|
|
"\n",
|
|
"merged_df['Machine'] = merged_df['id'].map(df.meta['machine_name'])\n",
|
|
"merged_df['Tube'] = merged_df['id'].apply(lambda x: str(x).split('|')[-1])\n",
|
|
"merged_df['Fly_Label'] = merged_df['Machine'] + \" - Fly \" + merged_df['Tube']\n",
|
|
"\n",
|
|
"clean_table = merged_df.dropna(subset=['Machine']).sort_values(by=['Machine', 'Tube'])\n",
|
|
"baseline_stats = clean_table[['Fly_Label', 'Base_Sleep_24h', 'Base_Day_12h', 'Base_Night_12h']]\n",
|
|
"\n",
|
|
"# PRINT RESULTS\n",
|
|
"print(f\"--- Individual Fly Sleep (Baseline: {start_hour}h to {end_hour}h, Averaged per day) ---\")\n",
|
|
"print(baseline_stats.head(20).to_string(index=False)) \n",
|
|
"print(\"... (Showing first 20 rows)\\n\")\n",
|
|
"\n",
|
|
"print(f\"--- Grand Summary Statistics (Baseline: {start_hour}h to {end_hour}h) ---\")\n",
|
|
"print(f\"Total Flies Analyzed: n = {len(baseline_stats)}\")\n",
|
|
"\n",
|
|
"# 1. OVERALL 24H STATS\n",
|
|
"print(\"\\n[ OVERALL SLEEP (Scaled to 24h Baseline Average) ]\")\n",
|
|
"print(f\"Mean ± SEM: {baseline_stats['Base_Sleep_24h'].mean():.2f} ± {baseline_stats['Base_Sleep_24h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {baseline_stats['Base_Sleep_24h'].median():.2f} hours\")\n",
|
|
"\n",
|
|
"# 2. DAY TIME STATS\n",
|
|
"print(f\"\\n[ DAY TIME (ZT 0-12, Averaged to 12h blocks) ]\")\n",
|
|
"print(f\"Mean ± SEM: {baseline_stats['Base_Day_12h'].mean():.2f} ± {baseline_stats['Base_Day_12h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {baseline_stats['Base_Day_12h'].median():.2f} hours\")\n",
|
|
"\n",
|
|
"# 3. NIGHT TIME STATS\n",
|
|
"print(f\"\\n[ NIGHT TIME (ZT 12-24, Averaged to 12h blocks) ]\")\n",
|
|
"print(f\"Mean ± SEM: {baseline_stats['Base_Night_12h'].mean():.2f} ± {baseline_stats['Base_Night_12h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {baseline_stats['Base_Night_12h'].median():.2f} hours\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 27,
|
|
"id": "a89a9da0-2db2-4006-a9f0-0addb71ecac5",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"--- Individual Fly Sleep (Stimulus: 72h to 96h) ---\n",
|
|
" Fly_Label Stim_Sleep_24h Stim_Day_12h Stim_Night_12h\n",
|
|
"ETHOSCOPE_130 - Fly 01 10.952778 2.461111 8.491667\n",
|
|
"ETHOSCOPE_130 - Fly 02 13.900000 4.361111 9.538889\n",
|
|
"ETHOSCOPE_130 - Fly 03 15.730556 6.113889 9.616667\n",
|
|
"ETHOSCOPE_130 - Fly 04 10.544444 3.269444 7.275000\n",
|
|
"ETHOSCOPE_130 - Fly 05 10.272222 3.363889 6.908333\n",
|
|
"ETHOSCOPE_130 - Fly 06 6.900000 1.163889 5.736111\n",
|
|
"ETHOSCOPE_130 - Fly 07 8.602778 3.177778 5.425000\n",
|
|
"ETHOSCOPE_130 - Fly 08 13.261111 4.894444 8.366667\n",
|
|
"ETHOSCOPE_130 - Fly 09 13.138889 4.861111 8.277778\n",
|
|
"ETHOSCOPE_130 - Fly 10 5.208333 1.405556 3.802778\n",
|
|
"ETHOSCOPE_130 - Fly 11 13.113889 5.294444 7.819444\n",
|
|
"ETHOSCOPE_130 - Fly 12 5.347222 1.197222 4.150000\n",
|
|
"ETHOSCOPE_130 - Fly 13 10.583333 2.397222 8.186111\n",
|
|
"ETHOSCOPE_130 - Fly 14 4.550000 0.463889 4.086111\n",
|
|
"ETHOSCOPE_130 - Fly 15 7.011111 1.947222 5.063889\n",
|
|
"ETHOSCOPE_130 - Fly 16 6.752778 3.908333 2.844444\n",
|
|
"ETHOSCOPE_130 - Fly 17 15.963889 6.947222 9.016667\n",
|
|
"ETHOSCOPE_130 - Fly 18 8.294444 0.827778 7.466667\n",
|
|
"ETHOSCOPE_130 - Fly 19 8.438889 3.330556 5.108333\n",
|
|
"ETHOSCOPE_130 - Fly 20 8.188889 2.391667 5.797222\n",
|
|
"... (Showing first 20 rows)\n",
|
|
"\n",
|
|
"--- Grand Summary Statistics (Stimulus: 72h to 96h) ---\n",
|
|
"Total Flies Analyzed: n = 20\n",
|
|
"\n",
|
|
"[ OVERALL SLEEP (24h Stimulus Block) ]\n",
|
|
"Mean ± SEM: 9.84 ± 0.78 hours\n",
|
|
"Median: 9.44 hours\n",
|
|
"\n",
|
|
"[ DAY TIME (ZT 0-12 during Stimulus) ]\n",
|
|
"Mean ± SEM: 3.19 ± 0.41 hours\n",
|
|
"Median: 3.22 hours\n",
|
|
"\n",
|
|
"[ NIGHT TIME (ZT 12-24 during Stimulus) ]\n",
|
|
"Mean ± SEM: 6.65 ± 0.46 hours\n",
|
|
"Median: 7.09 hours\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Define stimulus time period\n",
|
|
"start_hour = 72\n",
|
|
"end_hour = 96\n",
|
|
"\n",
|
|
"# Filter the dataset to ONLY include data within specific stimulus window\n",
|
|
"stim_df = df.t_filter(start_time=start_hour, end_time=end_hour).copy()\n",
|
|
"\n",
|
|
"# Calculate Overall 24h Stimulus Average\n",
|
|
"sleep_hours = (stim_df.groupby('id')['asleep'].sum() * 10) / 3600\n",
|
|
"days_tracked = (end_hour - start_hour) / 24 \n",
|
|
"stim_overall = (sleep_hours / days_tracked).reset_index(name='Stim_Sleep_24h')\n",
|
|
"\n",
|
|
"# Calculate Day/Night 12h Stimulus Averages\n",
|
|
"stim_df['zt_hour'] = (stim_df['t'] / 3600) % 24\n",
|
|
"stim_df['Phase'] = np.where(stim_df['zt_hour'] < 12, 'Day', 'Night')\n",
|
|
"\n",
|
|
"stim_phase = stim_df.groupby(['id', 'Phase']).agg(\n",
|
|
" total_sleep_epochs=('asleep', 'sum'),\n",
|
|
" total_tracking_epochs=('t', 'count')\n",
|
|
").reset_index()\n",
|
|
"\n",
|
|
"# Tracking_Hours will now be ~12 for Day and ~12 for Night\n",
|
|
"# Dividing sleep by tracking hours and multiplying by 12 averages it to a single 12h block.\n",
|
|
"stim_phase['Sleep_Hours'] = (stim_phase['total_sleep_epochs'] * 10) / 3600\n",
|
|
"stim_phase['Tracking_Hours'] = (stim_phase['total_tracking_epochs'] * 10) / 3600\n",
|
|
"stim_phase['Stim_Sleep_12h'] = (stim_phase['Sleep_Hours'] / stim_phase['Tracking_Hours']) * 12\n",
|
|
"\n",
|
|
"stim_pivot = stim_phase.pivot(index='id', columns='Phase', values='Stim_Sleep_12h').reset_index()\n",
|
|
"# Rename columns \n",
|
|
"stim_pivot.columns = ['id', 'Stim_Day_12h', 'Stim_Night_12h']\n",
|
|
"\n",
|
|
"# Merge and clean up data\n",
|
|
"merged_df = pd.merge(stim_overall, stim_pivot, on='id')\n",
|
|
"\n",
|
|
"merged_df['Machine'] = merged_df['id'].map(df.meta['machine_name'])\n",
|
|
"merged_df['Tube'] = merged_df['id'].apply(lambda x: str(x).split('|')[-1])\n",
|
|
"merged_df['Fly_Label'] = merged_df['Machine'] + \" - Fly \" + merged_df['Tube']\n",
|
|
"\n",
|
|
"clean_table = merged_df.dropna(subset=['Machine']).sort_values(by=['Machine', 'Tube'])\n",
|
|
"stim_stats = clean_table[['Fly_Label', 'Stim_Sleep_24h', 'Stim_Day_12h', 'Stim_Night_12h']]\n",
|
|
"\n",
|
|
"# PRINT RESULTS\n",
|
|
"print(f\"--- Individual Fly Sleep (Stimulus: {start_hour}h to {end_hour}h) ---\")\n",
|
|
"print(stim_stats.head(20).to_string(index=False)) \n",
|
|
"print(\"... (Showing first 20 rows)\\n\")\n",
|
|
"\n",
|
|
"print(f\"--- Grand Summary Statistics (Stimulus: {start_hour}h to {end_hour}h) ---\")\n",
|
|
"print(f\"Total Flies Analyzed: n = {len(stim_stats)}\")\n",
|
|
"\n",
|
|
"# 1. OVERALL 24H STATS\n",
|
|
"print(\"\\n[ OVERALL SLEEP (24h Stimulus Block) ]\")\n",
|
|
"print(f\"Mean ± SEM: {stim_stats['Stim_Sleep_24h'].mean():.2f} ± {stim_stats['Stim_Sleep_24h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {stim_stats['Stim_Sleep_24h'].median():.2f} hours\")\n",
|
|
"\n",
|
|
"# 2. DAY TIME STATS\n",
|
|
"print(f\"\\n[ DAY TIME (ZT 0-12 during Stimulus) ]\")\n",
|
|
"print(f\"Mean ± SEM: {stim_stats['Stim_Day_12h'].mean():.2f} ± {stim_stats['Stim_Day_12h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {stim_stats['Stim_Day_12h'].median():.2f} hours\")\n",
|
|
"\n",
|
|
"# 3. NIGHT TIME STATS\n",
|
|
"print(f\"\\n[ NIGHT TIME (ZT 12-24 during Stimulus) ]\")\n",
|
|
"print(f\"Mean ± SEM: {stim_stats['Stim_Night_12h'].mean():.2f} ± {stim_stats['Stim_Night_12h'].sem():.2f} hours\")\n",
|
|
"print(f\"Median: {stim_stats['Stim_Night_12h'].median():.2f} hours\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"id": "9be717e4-a077-468d-aafc-21479f1beac1",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"--- 24h Total Statistical Analysis ---\n",
|
|
"Shapiro-Wilk P-value (Normality of differences): 0.3626\n",
|
|
"Result: Data is normal. Used Paired T-test.\n",
|
|
"P-value: 7.3393e-03\n",
|
|
"Significance: **\n",
|
|
"\n",
|
|
"--- Daytime Statistical Analysis ---\n",
|
|
"Shapiro-Wilk P-value (Normality of differences): 0.3140\n",
|
|
"Result: Data is normal. Used Paired T-test.\n",
|
|
"P-value: 6.7606e-05\n",
|
|
"Significance: ****\n",
|
|
"\n",
|
|
"--- Nighttime Statistical Analysis ---\n",
|
|
"Shapiro-Wilk P-value (Normality of differences): 0.0515\n",
|
|
"Result: Data is normal. Used Paired T-test.\n",
|
|
"P-value: 1.1296e-01\n",
|
|
"Significance: ns\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# STATISTICS\n",
|
|
"\n",
|
|
"# Merge Baseline and Stimulus data on Fly_Label\n",
|
|
"paired_df = pd.merge(baseline_stats, stim_stats, on='Fly_Label')\n",
|
|
"\n",
|
|
"def run_paired_stats(df, base_col, stim_col, label):\n",
|
|
" # Calculate the differences for the paired test\n",
|
|
" diffs = df[stim_col] - df[base_col]\n",
|
|
" \n",
|
|
" # 2. Shapiro-Wilk Test for Normality\n",
|
|
" _, p_shapiro = shapiro(diffs)\n",
|
|
" \n",
|
|
" print(f\"\\n--- {label} Statistical Analysis ---\")\n",
|
|
" print(f\"Shapiro-Wilk P-value (Normality of differences): {p_shapiro:.4f}\")\n",
|
|
" \n",
|
|
" # 3. Determine Test: If P > 0.05, data is normal (use t-test). If P < 0.05, use Wilcoxon.\n",
|
|
" if p_shapiro > 0.05:\n",
|
|
" stat, p_val = ttest_rel(df[base_col], df[stim_col])\n",
|
|
" print(f\"Result: Data is normal. Used Paired T-test.\")\n",
|
|
" else:\n",
|
|
" stat, p_val = wilcoxon(df[base_col], df[stim_col])\n",
|
|
" print(f\"Result: Data is not normal. Used Wilcoxon Signed-Rank test.\")\n",
|
|
" \n",
|
|
" print(f\"P-value: {p_val:.4e}\")\n",
|
|
" if p_val < 0.0001: print(\"Significance: ****\")\n",
|
|
" elif p_val < 0.001: print(\"Significance: ***\")\n",
|
|
" elif p_val < 0.01: print(\"Significance: **\")\n",
|
|
" elif p_val < 0.05: print(\"Significance: *\")\n",
|
|
" else: print(\"Significance: ns\")\n",
|
|
"\n",
|
|
"# Run for all three metrics\n",
|
|
"run_paired_stats(paired_df, 'Base_Sleep_24h', 'Stim_Sleep_24h', '24h Total')\n",
|
|
"run_paired_stats(paired_df, 'Base_Day_12h', 'Stim_Day_12h', 'Daytime')\n",
|
|
"run_paired_stats(paired_df, 'Base_Night_12h', 'Stim_Night_12h', 'Nighttime')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 44,
|
|
"id": "aa050760-cebb-436c-aa8b-888f951d6b5f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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5qb1eanrYw0o11tT+IWxqr1dbmtqfc1N7vdrS1P6cm9rrpaaHY1iJiIiISKexYCUiIiIincaClYiIiIh0GgtWIiIiItJpLFiJiIiISKexYCUiIiIincaClYiIiIh0GgtWIiIiItJpLFiJiIiISKexYCUiIiIincaClYiIiIh0GgtWIiIiItJpLFiJiIiISKexYCUiIiIincaClYiIiIh0GgtWIiIiItJpLFiJiIiISKexYCUiIiIincaClYiIiIh0GgtWIiIiItJpLFiJiIiISKfpazsAka5LSUnB2bNnkZWVBS8vL/Tp0wdGRkbajkVERNRksGAlqkZhYSF++eUXFBcXAwAyMjKQm5uL8ePHazkZERFR08GClRq1jIwMFBYWqvz4u3fvIjU1FQYGBmjWrBkA4OHDhygqKoKJiYm6YhIREVE1WLBSo5WXl4elS5dCLperfI+srCw8efIEAoEAAwYMgJGREYRCIfT09NSYlIiIiKrDgpUaLXNzcyxfvrzaHtaUlBSsX78eU6dOhZOTU4XzUqkUW7duRWFhoWLcaseOHWFoaKix3ERERKSMBSs1anZ2djW6zsnJCe7u7pWeW7x4MS5fvoysrCx4e3ujQ4cO6oxIREREL8GClagKpaWluHbtGhITE+Hk5IRRo0axZ5WIiEgLWLBSrZTPkm/evHmjL9527dqFR48eAQAiIyMRFRWFt956S8upiIiImh4WrFQjcrkcBw4cwI0bNwAAxsbGGDduHDw9PbWcTDOePn2qKFbLxcXFISkpCS4uLlpKRURE1DSxYKUaiY6Oxvnz5yGVShVtW7ZswZtvvlnre5mamtZ4bKm2SCSSWrUTERGR5rBgpRqJjo7GqVOnKrQ/efKk1ks8CYVCrFq1Cubm5uqKp3ZOTk6wt7dHenq6os3KyqrKiVlERESkOSxYqUZatGiBvn37KvWw2traIiwsTHH8siWiypmamup0sQoAAoEAkyZNwsmTJxWTrvr27QuhUKjtaERERE0OC1aqEU9PT/Tt2xdXrlyBXC6HmZkZxo8fD1dX1wrXVrdEVEMiEokwZswYbccgIiJq8liwUo0NGjQIISEhEIvFcHZ25m5PREREVC9YsFKtWFhYwMLCQtsxiIiIqAnhgDwiIiIi0mksWImIiIhIp7FgJSIiIiKdxoKViIiIiHRanQvWkpIS7v5DRERERBpT61UCrly5glOnTiEiIgLR0dEoLi4G8GxveW9vb7Rv3x79+vVD586d1R6WiIiIiJqeGhWsUqkUO3fuxKZNm5CUlAQLCwu0bt0aw4cPh4WFBeRyOcRiMRITE3HgwAFs3boVzs7OePvttzFu3DgYGBho+nUQERERUSNVo4J1wIABkEqlGDVqFAYPHozWrVtXe/3du3dx7Ngx/PTTT9i4cSNOnz5dozBxcXHYsGEDbt26haioKHh5eeHQoUNK14SFheHq1asVHnvkyBF4e3tXe/+0tDR8/vnnOH/+PAwMDNC/f3988MEHMDMzq1E+IiIiIqp/NSpYZ8yYgTFjxsDQ0LBGN23Tpg3atGmDefPmYe/evTUOExUVhfDwcLRr1w4ymQxyubzS6zp06ID3339fqa2yLUKfJ5VKMXXqVADAqlWrUFxcjC+//BLvvfce1q5dW+OMRERERFS/alSwjh8/XqWbGxoa1uqxffr0Qb9+/QAAS5Yswd27dyu9TiQSITAwsFZZjh8/jqioKBw5cgReXl6K+0yZMgW3b99GQEBAre5HRERERPVDrctaSSQSFBYWqvx4oVBzq2z99ddf8PPzUxSrANCtWzdYWloiPDxcY89LRERERHWjUoV4+PBhLF++XKltzZo16NChA4KCgjB79mwUFBSoJWBlrl69isDAQLRt2xaTJk3CtWvXXvqYmJgYpWIVAAQCATw9PRETE6OpqERERERUR7Ve1goANm7cCH9/f8VxREQE1qxZg169esHLywvbtm3DTz/9hPfee09tQcsFBQVh5MiR8PDwQHp6OjZs2IC33noLW7duRfv27at8nFgshrm5eYV2CwsL5ObmVvucffv2rfJcSkoKnJycav4CiIiIiKhWVCpYExISMHr0aMXxoUOHYGtrizVr1kBfXx9yuRwnTpzQSME6b948peNevXph2LBh+OGHH/Dzzz+r/fmIiIiISLtUKlglEgmMjIwUxxcuXEDPnj2hr//sdt7e3tixY4d6Er6EqakpQkNDcfz48WqvE4lEyM/Pr9Cem5v70h7SU6dOVXmuut5XIiIiIqo7lcawurq64uLFiwCAO3fuIC4uDj169FCcz8zMhKmpqXoSqomXl1eFsapyuRyxsbEVxrYSERERke5QqWAdN24cjh49iuHDh2PKlClwdHRE7969FecjIiLg4+OjtpDVKSwsxNmzZ9G2bdtqr+vZsycePHiAJ0+eKNouXbqEnJwchIaGajglEREREalKpSEBYWFhMDIyQnh4ONq0aYOpU6fC2NgYAJCTk4OMjAy8/vrrtb5vUVGRYomppKQk5Ofn49ixYwCA4OBgxMTEYP369ejfvz9cXFyQnp6OTZs2ISMjA99++63iPklJSejfvz9mzZqFOXPmAAAGDhyItWvXYu7cuVi4cCGKioqwcuVK9OrVi2uwEhEREemwWhesUqkU0dHR6NmzJ1577bUK5y0tLWu1u9XzMjMzMX/+fKW28uMtW7bA0dERUqkU33zzDXJycmBiYoL27dvjs88+Uyo65XI5ysrKlHbKMjAwwPr16/H5559j4cKF0NfXR//+/bF06VKVshIRERFR/ah1wSoUCvHKK6/g/fffx+TJk9UaxtXVFQ8fPqz2mg0bNqh8HwcHB6xevVrlfERERERU/2o9hlVPTw/Ozs6QSCSayENEREREpESlSVeTJk3Crl27kJOTo+Y4RERERETKVJp0JZPJYGhoiP79+2PgwIFwcXFRTLoqJxAI8Oabb6ojIxERERE1YSoVrF9++aXi5927d1d6DQtWIiIiIlIHlQrW6nZ+IiIiIiJSJ5UKVhcXF3XnICIiIiKqlEqTroiIiIiI6otKPax9+vSBQCCo9hqBQICTJ0+qFIp0W0pKCq5cuYKSkhIEBASgVatW2o5EREREjZhKBWtwcHCFgrWsrAzJycmIiIiAr68v/P391RKQdEt6ejo2btwIqVQKALh//z5GjBiBDh06aDkZERERNVYqFaxffPFFlecePHiAKVOmYPjw4SqHIt11/fp1RbFa7vLlyyxYiYiISGPUPoa1ZcuWGDduHL7++mt135p0QFlZWY3aiIiIiNRFI5OubGxs8PjxY03cmrQsMDAQQqHy24a9q0RERKRJKg0JqE52djb27NkDR0dHdd+a6plcLkd0dDTS09Ph7u4OFxcXuLq6YsKECbh48aJi0lVwcLC2oxIREVEjplLBOnny5Erb8/LyEBMTA6lUipUrV9YpGGnf77//jnv37imO+/btix49esDHxwc+Pj5aTEZERERNiUoFq1wur9AmEAjg6uqKkJAQvPLKK/D29q5zONKexMREpWIVAMLDwxEUFARjY2MtpSIiIqKmSKWCdevWrerOQTomOzu7QltpaSny8vJYsBIREVG94k5XVClPT0/o6yv/PmNlZQVbW1stJSIiIqKmSuVJV/n5+di8eTPOnj2L5ORkAICzszN69eqFN998E2ZmZmoLSfXPzMwMr776Ko4ePYrc3Fw4ODhg9OjRL93hjIiIiEjdVCpY09LSMHHiRCQmJsLLy0uxrFFsbCzWrFmD/fv3Y/v27bC3t1drWKpfLVu2hJ+fH0pKSjgMgIiIiLRGpYL166+/xtOnT7F27VqEhoYqnQsPD8eCBQuwatUqfPnll2oJSdojEAiaZLEqk8mQmZkJc3PzJvn6iYiIdIlKBeu5c+fwxhtvVChWASA0NBRhYWHYtWtXncMRaUNSUhJ+//135OTkwMDAAKGhoejevbu2YxERETVZKk26Kioqgo2NTZXnbW1tUVRUpHIoIm36448/kJOTAwCQSqU4efIkUlNTtRuKiIioCVOpYPX29sbhw4chkUgqnJNKpTh8+DDXYaUGqaCgAE+fPq3Q/uTJk/oPQ0RERABUHBIwbdo0vPvuuxg7diwmTJgADw8PAM8mXf322294+PAhvvnmG3XmJKoXJiYmMDc3R15enlK7g4ODlhIRERGRSgXr4MGDUVRUhFWrVuGTTz5RLHUkl8thY2OD5cuXY9CgQWoNSlQfhEIhBg8ejD179qCsrAwA0LZtW3h6emo5GRERUdOl8jqsY8aMwYgRI3D37l2ldVjbtGlTYcF5oobE398fzZs3x5MnT2BlZQUXFxdtRyIiImrS6lRZ6uvrIzAwEIGBgWqKQ6QbzMzM0KZNG23HICIiItSxYH38+DESEhKQm5tb6flRo0bV5fZERERERKoVrPHx8Vi8eDFu374NuVxe6TUCgYAFKxERERHVmUoF68cff4xHjx5h6dKl6NSpE0QikbpzkQ7Ky8tTjOt0dXXVdhwiIiJqIlQqWCMiIjBjxgyEhYWpOw/pqHv37inNnG/dujVeffVVxQoRRERERJqi0sYBVlZWMDc3V3cW0lEymQxHjx5VFKsAEBkZiZiYGC2mIiIioqZCpYJ1/PjxOHDggFIBQ41XYWEhbt++jStXruD69evIyMgAAMX/EhEREWlSjYYEnDhxQunY09MTMpkMI0eOxCuvvAJHR0fo6elVeNyAAQPUk5K06urVq3j69CmKiooAPOtdbd++Pdzd3bWcjIiIiJqCGhWs8+bNg0AgUKwI8PzPX375ZaWPEQgEuH//vppikjbdvn0bLVu2RGRkJIqLiyEUCuHs7AwnJydtRyMiIqImoEYF65YtWzSdg3SYoaEhzM3N0blzZxQVFcHQ0JCbRRAREVG9qVHBGhwcrOkcpMO6deuGP/74AwKBAKampjA2NkanTp20HUvj5HI5kpOTYWBgAHt7e23HISIiarLqtNMVNQ3t2rWDubk57ty5A2NjYwQFBcHKykrbsTRKLBZj69atioll3t7eGD9+PAwMDLScjIiIqOmp0SoBU6ZMwbVr12p988uXL2PKlCm1fhzpHi8vL4wcORIDBw6EtbW1tuNo3KlTp5RWQYiOjsbVq1e1mIiIiKjpqlEPq5ubG9566y24ublhyJAhCAkJQatWrdCsWTOl6/Lz8xEZGYmLFy/i2LFjSE5OxquvvqqR4ESalJiYqHQsl8uRlJSkpTRERERNW40K1k8//RRTpkzBli1bsGPHDvzwww8QCASwsLBQbMuam5sLsVgMuVwOCwsLDB8+HJMnT4abm5tGXwCRJjg7OyMzMxPx8fF48OABgGcrXxQWFsLU1FTL6YiIiJqWGo9hdXNzw7///W+8//77+Pvvv3Hz5k3ExMQgJycHAGBpaQkvLy8EBgaiY8eOHOtHDVrfvn1x9uxZnDlzBnK5HEZGRoiMjMTBgwcxbtw4bccjIiJqUmo96UpfXx9dunRBly5dNJGHqMYyMjIgFovrdI/U1FQAz4YAlJaWKtplMhmePn0KCwsLCAQCGBoaIj4+HsePH69yhQSRSAQ7O7s65SEiIqKKuEoAAdBs8aeKlxV/GRkZmPnmmyjOza3T8wj19GBqZYUvli6F7LmthkvLynAvJgYFxcVK16cnJCDt0aNK72VsYYGfNm9m0UpERKRmLFgJGRkZmD59umLr1aoUFhbi6dOnkEgkMDExgZ2dHQwNDRXnhUIhzMzMsGzZMshksjplMjExwbp166os/sRiMYpzc/FO+/Zw0cASW3K5HDuuXMHlmBgUSaUAAAGAaT16INjLq8L1SdnZ+PHGDYjFYhasREREasaClSAWi1FUVISwsDA4OjpWek1xcTH27t0LDw8PRZuVlRVGjBih9jypqanYunVrjYo/FysreNraqj0DALzVvTtEJiaIychAmVyOwa1bY0hAgEaei4iIiKrGgpUUHB0d4e7uXum5hw8fVljGTC6XQyQSNdpNBFwsLTGnd29kFhTA3NgYxpxISEREpBUsWKlGXixWgWdDAExMTLSQpv4IhULYmZtrOwYREVGTVqOdrohcXFwqrKkbGBgIY2NjLSUiIiKipqJOPaxnzpxBeHi4YgcgFxcXhIaGonfv3moJR7pDIBBgxIgRePToEbKysuDi4qI0npWIiIhIU1QqWMViMWbPno2///4benp6iokxly5dws6dO9GpUyd8//33il2wqHHQ09NDq1attB2DiIiImhiVhgQsW7YM169fx6JFi3D16lWcOXMGZ86cwdWrV/Hee+/h+vXrWLZsmbqzEhEREVETpFIP68mTJzFhwgRMmTJFqd3U1BRTp05FSkoK9u3bp458RERERNTEqVSw6uvrw9PTs8rzXl5e0NfnAgSNTUFBAf766y/Ex8fDysoK3bp1g4uLi7ZjERERUSOnUlU5cOBAHDt2DOPHj4eenp7SudLSUhw9ehSDBg2q9X3j4uKwYcMG3Lp1C1FRUfDy8sKhQ4cU5/Pz87Fp0yaEh4fjyZMnMDQ0REBAAN599134+flVe+8rV65g8uTJFdqHDBmCb775ptZZmwK5XI5Hjx4hLi4OFhYWiImJQUZGBoBni/sfOHAAb7zxBkxNTbWclIiIiBozlQrWESNG4D//+Q/Gjx+P1157TbHYfFxcHHbu3AmpVIrhw4cjMjJS6XGtW7eu9r5RUVEIDw9Hu3btIJPJIJfLlc4nJydj586deOWVV7BgwQKUlJRg48aNGDduHPbs2QNvb++XZl+xYgW8nttas7Eueq8OFy5cQEREBABAIpHg/v37aNOmjeKXFKlUitjY2Jf+/0pERERUFyoVrJMmTVL8fOfOHQgEAgBQKjDDwsIUP8vlcggEAty/f7/a+/bp0wf9+vUDACxZsgR3795VOu/q6oo///xTabH6Ll26oE+fPtixYwc++uijl2b39fVF27ZtX3pdUyeVSnH79m3FsZ6eHiQSCbKzs2H73FaoXIeViIiINE2lgnXFihXqzgHg2a5C1ansq+dmzZqhefPmSE9P10impkomk6GsrExxrKenBwcHB6U2Ozu7ascyExEREamDSgXr6NGj1Z1DZWKxGFFRUejatWuNrp8+fTpycnJgZ2eHoUOHYv78+ewlrISRkRHc3d3x5MkT5ObmIjk5GWVlZejZsyccHR1ha2sLf3//l/6SQURERFRXdZ7Kn56ejqysLDRv3lwrk2+++uorCAQCvP7669VeZ25ujqlTpyIoKAhGRka4fPkyNm7ciJiYGKxdu7bax/bt27fKcykpKXByclIpu64rn1x34MABGBoawt3dHVlZWXByckJgYKC24xEREVEToXL32MmTJzFo0CCEhoZi9OjRuHXrFgAgKysLo0aNwp9//qm2kFXZs2cPdu3ahY8//hiOjo7VXuvv74/FixejV69eCAkJwbvvvoslS5bg7NmzSmM1Gys/Pz+cPHmyVo8xMjKCo6Mj2rVrh1atWsHc3BwA8PDhQ01EJCIiIqqUSgXr6dOnMXfuXFhZWWH27NlKk62sra3h4OCAvXv3qi1kZcLDw/Hxxx9j1qxZKg9RGDx4MABUmNz1olOnTlX5X217V69du4aZM2eie/fuFYpIqVSKr776CsOHD0dgYCC6d++Of/3rX0hLS3vpfbdv344+ffqgbdu2GDt2rNqKcENDwwptXGOXiIiI6pNKBev333+PTp064ddff8XEiRMrnA8MDHzpigB1cfPmTcyfPx+jRo3C/PnzNfY8mlBYWAg/Pz988sknFc4VFxfj3r17eOedd7B3716sWbMGsbGxeOedd6q955EjR7BixQrMnj0bf/zxB1q2bIkpU6YgMzOzznn9/PyUVmUAgPbt29f5vkREREQ1pVJXWVRUFJYsWVLleVtbW7UUS5V5/PgxZsyYgS5duuCzzz6r070OHz4MAPW6zFVoaChCQ0MrPWdubo5NmzYptX300UcYO3YskpOT4ezsXOnjNm3ahNdeew2vvPIKAOCzzz7D2bNnsWfPHkyfPl1xXXZ2NmbPno3z58/DwcEB77//frXjc4FnKzOMGzcOt27dQkFBAby9veHr61ubl0xERERUJyoVrCYmJigqKqryfEJCAiwtLWt936KiIoSHhwMAkpKSkJ+fj2PHjgEAgoODIZfLMWXKFBgZGeGNN95Q+irfzMwMPj4+isf2798fs2bNwpw5cwAAixYtgru7O/z9/RWTrjZv3ox+/frp9Lqs+fn5EAgEEIlElZ6XSCSIjIzEjBkzFG1CoRBdu3bFjRs3lK5ds2YNFi9ejH/961/YunUrFi1ahDNnzrw0g0gkQo8ePer2QoiIiIhUpFLB2rlzZ+zbtw9vvPFGhXMZGRnYtWsXevfuXev7ZmZmVviKv/x4y5YtAJ5tCQoAb775ptJ1wcHB2Lp1K4BnGxWUlZUpja319fXFwYMHsXHjRkilUri4uGDmzJlKPZC6pqSkBF9//TWGDh0KMzOzSq/Jzs5GWVkZbGxslNptbGwQExOj1DZ69GgMGzYMALBw4UJs3boVt2/fhouLi2ZeABEREZEaqFSwLliwAOPGjcOrr76KQYMGQSAQ4Pz587h8+TJ27twJuVyO2bNn1/q+rq6uL52BXpMZ6pXdZ8aMGUq9kLpOKpVi/vz5kMvldR76UM7Pz0/xs6mpKczMzJCVlcWClYiIiHSaSpOuvLy8sGPHDlhaWuLbb7+FXC7Hhg0bsHbtWrRo0QI7duyAq6ururM2GVKpFAsWLEBycjI2btxYZe8qAFhZWUFPT6/CmOHMzEylLVQBwMDAQOlYIBBAJpPVOFd6ejri4uJQWlpa48cQERER1ZXK6xP5+vpi8+bNyM3NRVxcHORyOdzc3GBtba3OfE1OebEaFxeHLVu2wMrKqtrrDQ0N0bp1a1y6dAn9+vUD8Gxb1UuXLmHSpElqyVRWVobDhw/jyZMnAJ71zo4cORJ2dnZquT8RERFRdeq8oKaFhQUCAgLUkaVJKCgoQHx8vOI4MTER9+/fh4WFBezs7DBv3jzcu3cPa9euRVlZGTIyMgA8+3MuXxP1jTfeQP/+/RUF6VtvvYX3338fbdq0QUBAAH755RcUFRVhzJgxasn84MEDRbEKPFua69y5c2q7PxEREVF1VC5Yk5OT8dNPP+HKlSvIzs7G999/j6CgIGRlZeGHH37AmDFj4O/vr86sjcLdu3cxefJkxfGKFSsAPJsQNWfOHJw+fRoAMHLkSKXHbdmyBZ07dwbwbBWG7OxsxbkhQ4YgKysL3333HTIyMtCqVSusX7++wpAAVaWnp1doKy+kiYiIiDRNpYL18ePHmDhxImQyGQICAhAfH68Y12htbY3r16+jsLAQy5cvV2vYxqBz587VThyryaSy8qL2eZMmTap2CEBl9/37778BANHR0dU+n6OjI+7cuaPU5uDg8NKcREREROqg0qSrr776Cubm5jh+/Di++uorpeWjgGeL41+/fl0tAUn7/Pz80KJFC8WxhYUFevbsqcVERERE1JSo1MN67do1zJ49G9bW1kpfTZdzdnZGWlpancNR/SkpKUFUVBTy8/MrPe/m5gYrKyuUlJTA2toaKSkpSElJ0UiWlJQUlJSUaOTeRERE1PCoVLDK5XIYGxtXeT4rK0sxQYgahoSEBLzzzjvajqHg7e2t7QhERESkI1QqWP39/REeHo6JEydWOFdaWorDhw+jXbt2dQ5H9cfNzQ2LFi2Ck5OTok0ul+P48eNKveiOjo4q7WJWGykpKdi5c6dGn4OIiIgaDpUK1unTp2PmzJn45JNPMHToUADPFqq/ePEifvrpJ8TExODjjz9Wa1DSLCMjI/j6+sLd3V3RlpSUBAMDA9jb2yvaZDIZnJycNLrerpmZGYyMjDR2fyIiImpYVCpYQ0NDsWLFCixfvhy7du0CACxevBhyuRxmZmb48ssvERQUpNagVP/KysoqbX9xkh0RERGRJqm8DuuoUaMwYMAAXLhwAXFxcZDJZGjevDm6d+9e7Vai1HC4urrC0tISOTk5ijZHR0fY2NhoLxQRERE1OXXa6crU1BT9+/dXVxbSMUKhEKNHj8aVK1eQkZEBJycnxeYFRERERPWlRgVrcnKySjd3dnZW6XGkO8zNzdGvXz9txyAiIqImrEYFa58+fSAQCGp98/v379f6MUREREREz6tRwbp8+XKVClYiIiIiorqqUcE6ZswYTecgIiIiIqqUUJ03k0gkKCwsVOctiYiIiKiJU6lgPXz4MJYvX67UtmbNGnTo0AFBQUGYPXs2CgoK1BKQiIiIiJo2lQrWjRs3oqioSHEcERGBNWvWoHv37njjjTdw7tw5/PTTT2oLSURERERNl0rrsCYkJGD06NGK40OHDsHW1hZr1qyBvr4+5HI5Tpw4gffee09tQYmIiIioaVKph1UikSjt9X7hwgX07NkT+vrP6l9vb2+kpqaqJyERERERNWkqFayurq64ePEiAODOnTuIi4tDjx49FOczMzNhamqqnoSkE4qLiyGTybQdg4iIiJoglYYEjBs3DsuWLcPjx4+RlpYGR0dH9O7dW3E+IiICPj4+agtJ2pOZmYkTJ04gIyMDzZo1Q48ePdCiRQttxyIiIqImRKWCNSwsDEZGRggPD0ebNm0wdepUGBsbAwBycnKQkZGB119/Xa1BSTuOHj2KrKwsAEBBQQGOHz8OR0dHiEQiLScjIiKipkKlghUAXnvtNbz22msV2i0tLbF37946hSLdkJeXpyhWy8nlciQkJKB169ZaSkVERERNjVo3DqDGxdjYGIaGhhXa2btKRERE9UnlHtaMjAzs3r0b9+7dQ15eXoUJOQKBAL/88kudA5L2GBgYoHPnzjh37pyizcPDA66urlpMRURERE2NSgXrgwcPMHnyZBQXF8PT0xOPHj2Cj48PxGIx0tLS0Lx5czg6Oqo7K2lB+/bt4erqioSEBFhZWcHDwwMCgUDbsYiIiKgJUalgXbVqFUxNTbFv3z4YGxuja9euWLp0KUJCQnD06FF8+umn+Prrr9WdlbTEzs4OdnZ22o5BRERETZRKY1gjIiIwbtw4ODs7Qyh8dgu5XA4AGDx4MIYPH46VK1eqLyVRPSmTyZBfUqLtGERERPQclXpYZTIZbG1tATybgKOnp4ecnBzFeT8/P+zZs0ctAYnqy434eIQ/eoRiqRT25uYYERgIWzMzbcciIiJq8lTe6SoxMfHZDYRCuLq64tKlS4rzERERMDc3V09ConqQkZeHE5GRKJZKAQDpeXk4eOuWllMRERERoGIPa/fu3XHs2DG8++67AIDXX38dX3zxBRISEiCXy3H16lW89dZbag1KpElPMjMhf6EtTSxGoUQC00qW9iIiIqL6o1LBOnPmTAwdOhRSqRQGBgZ44403UFhYiBMnTkAoFGLWrFmYMWOGurMSaYyVqWmFNlNDQxjrq7zyGxEREamJSp/GFhYWsLCwUBwLBALMmjULs2bNUlswovrkbWcHT1tbxD59CgAQAOjt56eYVEhERETaw+4jIjz7peu1Tp0Q+/QpsgsL4WlrC+tmzbQdi4iIiMCClUhBIBDAi+vNEhER6Rx+30kqy83NRXFxsbZjEBERUSPHHlaqVPlqD7du3YJcLkfr1q3RtWtXCIVCiMViHD58GBkZGRAKhWjXrh169Oih7chERETUSLFgpUrdu3cPV65cURxHRETAxMQEHTt2xJkzZ5CRkQHg2SYSN27cgLOzM7y9vbUVV61kMhnis7IgFAjgZm0NgUCg7UhERPScjIwMiMXien9ekUik0lblq1evxpo1axTHhoaGcHV1xZgxYzBlypR6n+B75coVTJ48Gbt370bbtm0BPNv06V//+hemTJlSr1lqSqWCdc2aNRgwYABatGhR6fmoqCgcP34cc+bMqVM40p7Hjx9XaIuOjkbHjh2RlJRU4VxSUlKjKFjFxcXYfvky4jIzYaCnBw9bW7weHMy1WImIdERGRgamT5+OoqKien9uExMTrFu3TqWi1djYGL/88gsAoLi4GFeuXMGqVasgl8sxffp0dUettZ07d8LZ2VnbMaqkcsHq7u5ebcH6/fffs2BtwJpVMkPe9J+1Sq2trZGenq50ztraul5yadqhW7dw4t49SEtLAQDxWVnwsLFB31attJyMiIgAQCwWo6ioCGFhYXB0dKy3501NTcXWrVshFotVKliFQiECAwMVx126dMGjR49w4sQJnShYn8+mizQyJCAnJwcGBgaauDXVk/bt2+Px48eQSCQAAH19fXTs2BEA0KNHDxw4cADSf7YxdXJyQsuWLbWWVZ3ORUUpilUAyMzPx42EBBasREQ6xtHREe7u7tqOUSfNmjVD6XOfOV9//TXCw8ORmJgIMzMzBAUFYcmSJbC3t1dcc/36dfzvf//DgwcPIJPJ4OrqirfffhujR49WXHP27Fl8//33ePjwIUxNTTFw4EC8//77io6nyrw4JCAsLAympqYYPXo0vvnmG6Snp6Nt27b4/PPP0bx5c8XjJBIJ1qxZg4MHDyIjIwNubm6YNWsWhg8frs4/qpoXrNeuXVMa0/jnn38iLi6uwnV5eXk4cuRIlb2v1DDY2Nhg4sSJuH//PuRyOfz8/GBpaQkAcHFxwVtvvYW4uDiYmJjAzc2t0YzzlMtf3KAVMODmAUREpAblxWn5kIATJ04o7QyamZmJGTNmwN7eHllZWdi0aRPCwsJw+PBh6OvrIz8/HzNmzEDHjh3xv//9D4aGhnj8+LHSeN5jx47h3XffxZgxYzB37lxkZGRg1apVEIvF+Oabb2qV9/79+8jKysKiRYtQVlaGL774AosXL8bOnTsV18yfPx8RERGYPXs2vL29ER4ejsWLF0MkEiE0NLSOf2L/X40L1itXrigGDAsEApw4cQInTpyo9FofHx989NFH6klIWmNubo7g4OBKzxkbG8PPz6+eE2leFy8vHL93D3n/jI2yNDVF70bSe0xERNpTWFiI1q1bK7UNGTJEaTjAihUrFD+XlZWhffv26NmzJy5fvozu3bsjNjYWeXl5WLhwoeIzOCQkRPEYuVyOlStXYsiQIVi2bJmi3c7ODtOnT8esWbPg6+tb48x5eXnYt2+fYthfYWEhPvjgA6SmpsLR0RGXL1/G6dOnsWHDBnTv3h0A0K1bN2RkZGD16tXaKVinTp2KiRMnQi6Xo2vXrvjss88wYMAApWsEAgFMTExgZGSktoBE9WloQAAKJRKkisUQAAjy8EAbHR6ETkREDYOxsTG2bdsG4NnX6JGRkfjuu+/w4YcfKgrV8PBw/Pjjj4iKikJ+fr7isU+ePEH37t3RvHlzmJmZ4dNPP0VYWBi6dOmiNIckNjYWSUlJWLp0qdJQg+DgYAiFQty9e7dWBWvLli2V7u/j4wMAioL1woULsLS0RJcuXZSer2vXrvj0009RVlYGPT29Wv5JVa7GBauxsTGMjY0BAKdOnYK1tTVMTEzUEoJIV9iZm2NmaCiSc3PRzNAQVtyelYiI1EAoFCqWkAKAjh07Kr5mf+utt1BcXIxZs2ahb9++mDZtGmxsbJ5tG/7aaygpKQEAWFhYYNOmTfjuu+/wr3/9C2VlZejUqRM+/PBD+Pn5ITs7GwAwe/bsSjOkpKTUKrNIJFI6Lp+fVJ4nOzsbOTk5FXqOy2VkZKhtYpxKk65cXFzU8uREukgoFMLVygpyuRxFEglMuKQVERFpgJeXF4BnS0k+ePAAZmZm+L//+z/FuqyVLSMZEBCA9evXK8bBfvnll5g9ezZOnjypmGvy8ccfIyAgoMJjn5+8pQ4WFhawtrbGunXrKj2vzhWEVCpY5XI5du7cid27dyMhIaHSxXsFAgHu3btX54BE2hCVloY/792DuLgYtmZmGBoQACcLC23HIiKiRiQqKgoAYGVlheLiYhgYGChNYj548GCVjzU2NkZoaCji4+OxbNkylJSUwMvLC46OjkhISMDEiRM1nr9r165Yv349DAwMNL5akEoF68qVK7F582a0atUKI0aMgAU/yKkRKZRIsP/mTZTKZACAp/n5+CMiAjNDQ+t9NxIiImocZDIZbt68CQCQSqWIjIzEjz/+CB8fH3Tq1AkSiQS//PIL/vvf/6J///64ceMG9u/fr3SPs2fPYvfu3ejXrx+cnZ3x9OlTbNu2DR06dFDMH1qyZAkWLVqEwsJC9OrVCyYmJkhOTkZ4eDjeffddeHp6qu01devWDb1798bUqVMxdepU+Pn5oaioCI8fP0ZcXJzSxK+6Uqlg3bdvHwYMGIBvv/1WbUGIdEV8VpaiWC0nLi7G0/x82L8wnoeIiLQjNTW1QT1fcXExxo0bB+DZ2uaOjo4YMWIE5syZAwMDA4SGhmLRokXYtm0b9u7diw4dOmDt2rUYOHCg4h7NmzeHUCjE//3f/yEzMxOWlpbo3r07Fi5cqLhm8ODBEIlE+OmnnxQ9tC4uLujRowdsbW3r9Boq891332HdunX49ddfkZSUBHNzc/j6+mLMmDFqfR6VCtbi4mJ07dpVrUGIdIVFJZMJ9YRCmP0z6ZCIiLRHJBLBxMQEW7durffnNjExqTARqSbmzp2LuXPnvvS6adOmYdq0aUptDx8+VPzs5eWF77777qX36datG7p161bl+c6dOyvd98XnAVDpn2+rVq0qXGdoaIg5c+ZofHdTlQrWkJAQ3LlzR/GbgrrExcVhw4YNuHXrFqKiouDl5YVDhw5VuO7333/H+vXrkZycDE9PT7z77rvo3bv3S++flpaGzz//HOfPn4eBgQH69++PDz74AGZmZmp9HdSwOVlYwN/JCfeem00Z4uUFU06+IiLSOjs7O6xbt67S+TOaJhKJVNqWlepOpYL1k08+wdSpU/HTTz9h3LhxsLKyUkuYqKgohIeHo127dpDJZJXuOnT48GF89NFHmDlzJrp06YIjR45gzpw52L59e7X74EqlUkydOhUAsGrVKhQXF+PLL7/Ee++9h7Vr16olPzUew9u1Q1tXV6Tn5cHVygou/8y8JCIi7bOzs2Ph2MSoVLAOGjQIcrkc3377Lb799lsYGRlVmIwiEAhw/fr1Wt23T58+6NevH4Bng4bv3r1b4ZrvvvsOQ4cOxYIFCwAAXbp0waNHj/D999/j559/rvLex48fR1RUFI4cOaJYRkIkEmHKlCm4fft2pcs/UNMlEAjgaWsLTw2M9yEiIqLaUalgHThwoEb2jn/ZDOyEhAQ8efIEixcvVmofMmQIVq5cCYlEAsMqvrb966+/4OfnpyhWgWdjPCwtLREeHs6ClYiIiEhHqVSwfvHFF+rOUSMxMTEAUGFJBm9vb0ilUiQkJMDb27vKxz5frAL/9KJ5eiruS0RERES6R6WCVVtyc3MBVNwqrPy4/HxlxGIxzM3NK7RbWFhU+zgA6Nu3b5XnUlJS4OTkVO3jiYiIiEh1Kq+CnpycjI8//hgDBw5EUFAQrl27BgDIysrC559/zl2uiIiIiEgtVOphffz4MSZOnAiZTIaAgADEx8ejtLQUwLN9Y69fv47CwkIsX75crWHLd9TKy8tTmh1YvrRFdTtuiUQi5OfnV2jPzc19aQ/pqVOnqjxXXe8rkaaEhYWhZcuW+Pe//63tKERERBqnUg/rV199BXNzcxw/fhxfffVVheWnQkNDa71CQE2Uj0F9ccxpTEwMDAwM4ObmVu1jX3ycXC5HbGxshbGtROqUn5+PZcuWoXfv3ggICMD48eNx+/btGj32+vXr8Pf3x8iRIzWckoiISHepVLBeu3YNr7/+OqytrStdLcDZ2RlpaWl1DvciNzc3eHh44NixY0rtR44cQUhISJUrBABAz5498eDBAzx58kTRdunSJeTk5CA0NFTtWYnKffjhh7h48SJWrlyJgwcPolu3bnjrrbde+ndELBbj/fffR0hISD0lJSIi0k0qDQmQy+UwrmabyqysrGqLx6oUFRUhPDwcAJCUlIT8/HxFcRocHAxra2vMnTsXixYtQvPmzdG5c2ccOXIEt2/fxrZt2xT3SUpKQv/+/TFr1izFVmEDBw7E2rVrMXfuXCxcuBBFRUVYuXIlevXqxSWtSGOKi4tx4sQJ/PDDDwgKCgLwbIu+M2fOYMeOHXj33XerfOwnn3yCYcOGQU9PDydPnqxwXi6XY+XKldi9ezcMDAwwfvz4Gm39R0TU0GVkZDS4na4OHDiALVu2IDY2FnK5HA4ODujQoQMWLlwIGxsbAMDmzZvh6elZoSOtT58+6NWrFz7++OM6v4aaSExMRN++ffHtt99i0KBB9fKcL6NSwerv74/w8HBMnDixwrnS0lIcPnwY7dq1q/V9MzMzMX/+fKW28uMtW7agc+fOGDZsGIqKivDzzz9j3bp18PT0xJo1a9C+fXvFY+RyOcrKypSGKhgYGGD9+vX4/PPPsXDhQujr66N///5YunRprXM2FVFRUbh9+zZkMhlat24Nf39/bUdqcEpLS1FWVgYjIyOldiMjI0RERFT5uD179iAhIQFfffUVfvzxx0qv+eOPP/DWW29h165duHnzJpYsWYIOHTpUu380EVFDl5GRgZlvvonil6zwownGFhb4afPmWhetP//8M1atWoU333wT8+bNg1wuR1RUFA4ePIj09HRFwbplyxb06tWrQsG6Zs2aCiskNTUqFazTp0/HzJkz8cknn2Do0KEAnhWbFy9exE8//YSYmBiVfgtwdXXFw4cPX3rd2LFjMXbs2Frfx8HBAatXr651rqYoNjYWR48eVRynpKQAAIvWWjIzM0P79u3xww8/wMvLC7a2tjh06BBu3ryJ5s2bV/qYJ0+eYNWqVdi+fTv09av+K+rn56f4BsHDwwPbtm3DpUuXWLASUaMmFotRnJuLd9q3h4uatoaviaTsbPx44wbEYnGtC9atW7di9OjRWLJkiaItNDQUU6dOhUwme+nj+dmr4hjW0NBQrFixAkePHsUbb7wBAFi8eDHefvtt3Lt3D19++aXi609qmCpbloxLlalm5cqVkMvl6NmzJ9q2bYutW7di6NChle7sVlZWhvfeew9z586tsEHGi/z8/JSO7ezskJmZqdbsRNQwSCQS/PXXX9ixYwdOnz6N4uJibUfSOBcrK8UW2vXxX12KY7FYDHt7+0rPlX8W9OnTB0lJSdi+fTv8/Pzg5+eHvXv3Ks795z//UTxmyZIlGDZsGC5evIjhw4cjICAAkyZNQmJiInJycjB//nx06NAB/fr1w5EjR5Se78V7AcDJkyfh5+eHxMTEKl+Dn58fNmzYoNS2efNmpc8iqVSKL7/8Er169UKbNm3QvXt3zJw5E3l5eTX4U6qeyhsHjBo1CgMGDMCFCxcQFxcHmUyG5s2bo3v37jAzM6tzMNKuyoopPT09LSRp+Jo3b45t27ahsLAQ+fn5sLe3x4IFCypd1aKgoAB3797F/fv38d///hcAIJPJIJfL4e/vjw0bNigmYb3Y+yoQCCqs2EFETcPOnTsRHR0NAHj06BGio6MxdepUjWyjTrXXunVr/Pbbb3B1dUWvXr0q7aFds2YNpk+fjg4dOuDtt98GgCq/iQOeDY344osv8M4770BfXx+ff/45Fi1aBBMTE3Tq1AmvvfYadu3ahcWLF6Ndu3ZwcXHR2Osrt3btWvz2229YtGgRfH19kZ2djQsXLkAikdT53nXa6crU1BT9+/evcwjSPQEBAXj8+LGiABIIBJycVkempqYwNTVFbm4uzp8/j8WLF1e4xszMDAcPHlRq27FjBy5fvozvvvsOrq6u9RWXiOpZRkYGCgsLa3y9XC7H/fv3ERkZicuXL8PR0RH6+vowMDBAUlISEhMTq13ukerPJ598gjlz5uDDDz8E8GzoYu/evfHmm28q/l339/eHoaEhbG1tERgY+NJ75ubmYtu2bfD19QUApKen47///S+mTZuG2bNnAwDatm2LP//8EydPnlR8I65Jd+7cQffu3ZXmOA0cOFAt965TwXrmzBmEh4cjKSkJAODi4oLQ0FD07t1bLeGofqWmpiodd+7cGQ8fPoRcLoevry/09fURFxdX7zkaunPnzkEul8PT0xPx8fFYuXIlvLy8MGbMGADAqlWrkJaWhpUrV0IoFKJFixZKj7exsYGRkVGFdiJqPPLy8rB06dJafUuSmJiI9PR0SKVSPH36FHp6erCzs4NQKMSAAQNQVlamwcRUGy1atMChQ4dw6dIlnD9/HteuXcPWrVuxd+9ebN++Ha1atar1Pe3t7RXFKvBsLgMAdO3aVdEmEolgbW1db5+r5d8Erl69GqGhoWjTpk2l39iqQqWCVSwWY/bs2fj7778Vf0GAZ+ua7ty5E506dcL333/f5Ge0NRQikQgmJibYunVrlddcvXr1pfcRCoUwMzNDfn5+jQaRV8fExKTRvH/y8vLwv//9D6mpqbC0tMSAAQPw7rvvwsDAAMCzXpXySW1E1DSZm5tj+fLl1fawpqSkYP369Zg6dSpsbGywdu1axS6Td+7cQUFBAXx8fODk5ARnZ+dqv06m+mdoaIjQ0FDFCgDnzp3DjBkz8P3332PNmjW1vt+Ln5Hlnynm5uYVnrekpETF1LXzzjvvQCgU4o8//sCaNWtgbW2NiRMnYvbs2XUenqJSwbps2TJcv34dixYtwuuvvw5TU1MAQGFhIXbs2IH//e9/WLZsGb788ss6haP6YWdnh3Xr1tV5TbvU1FRs2rQJ8+fPh6OjY53uVZe17nTNkCFDMGTIkCrPf/HFF9U+fu7cuRXWV63sl4sffvhBtYBEjVB2djYSEhLg4OAABwcHbcepkZr+m+fk5AR7e3uYm5sremQ7d+6MJ0+ewNXVFV26dEHv3r3V1rNFmtGjRw+0bNlSMfa4vhgaGkIqlSq15dZgibDKHvdi3WBoaKj4zIqLi8OePXuwevVquLq6YtSoUXXKrVLBevLkSUyYMAFTpkxRajc1NcXUqVORkpKCffv21SkY1S87O7s6F4jlk4BcXV3h7u6ujlhERDUmFovx559/4sKFC0hISICXlxdMTEwQEhKitnF0usLExAS+vr549OgRgGeFQps2bTB//nw0a9ZMy+noRU+fPoWtra1SW3FxMVJSUuDj46NoMzAw0HhvqKOjY4Ui+cKFCyo97uLFi1Ve7+7ujoULF2Lnzp2IiYlRLexzVCpY9fX1q11yx8vLq9r1I4nUoVgiwf2UFIiLirQdBUk5OShWwyxIIlKNXC7H9u3bkZSUhJs3b6K4uBjp6ekIDAzE0aNHYWdnp1icvTZMTU119tueMWPG4M8//0R0dDSsra3Rp08fFqs6avjw4ejduze6d+8Oe3t7pKWlYdu2bcjOzlaaDOXl5YXLly/jwoULEIlEcHV1hZWa15odOHAgPv30U8WmS+Hh4bh582aNHvfLL7+gbdu28PT0xIEDBypsMT5r1izFRkMmJiY4c+YMcnNz0aVLlzrnVqmqHDhwII4dO4bx48dXWOqotLQUR48e1ZmtvKjxik9NxcRr17QdQ8GHs3GJtCY1NRVpaWkoLi6GRCJBbGwsgGc9W0ZGRkhISFDpg18oFGLVqlUVxgXqAmNjYwwfPlzbMbQmKTu7wTzfnDlzcObMGXzxxRfIysqClZUV/Pz8sHnzZqVibuHChfj0008xd+5cFBQUYMWKFYoJuuoyduxYxMfH49dff8XmzZsxZMgQLFy4EO+99161j5s1axYyMzPx/fffQyAQYNy4cZg8ebLSsLYOHTrg6NGj2LRpE8rKyuDp6Ymvv/5aaSKYqgRyFRZu/Pvvv/Gf//wHRkZGeO211xRf/8bFxWHnzp2QSqX46KOPYGJiovS41q1b1zmwrunbty8A4NSpU1pOon1xcXH473//i48++kjjQwKio6Mx/fXXMaVdO7hYWmr0uWoiKScHG27dwrpff4W3t7e24xA1OZmZmVi9ejVkMhkuXbqEgoICyGQytGnTBhYWFnj77beV1gh/fgKTk5NTlffVpR7W+vw3Vpc1xK1Zqe5U6mGdNGmS4uc7d+4oZn49X/uGhYUpfpbL5RAIBLh//76qOYkqMDY0RCsnJ3i+MC5IG0QmJjDm+5tIa2xsbODn54eHDx+iVatWePDgAUxMTODj44NBgwZV2WHi5OTUpIu/hsjOzg4/bd5c54nCqmhME4IbGpUK1hUrVqg7BzUQMpkMd+/eRVJSElxcXNS6xhoRUV2MHTsWf//9NxITE/Hqq6/C29sb9vb2iuV+qPFQx0RhalhUKlhHjx6t7hzUQOzZsweRkZGK44cPH2Ls2LFaTERE9Iy+vr5aJncQke5Ra9dYQkJCva8nRvXn6dOnSsUqAERGRiIjI0NLiYiIiKgpUKlg3bJlC959912ltg8++AADBgzAsGHDMGbMGGRmZqolIOmOgoKCSttrs/c1ERERUW2pVLD+/vvvSuvZnTt3Dn/88Qdee+01fPjhh0hMTFRpmzHSba6urhW2gitfJ46ISBcUFBRgz549+Oqrr7Bx40bEx8drOxIRqYFKY1iTk5OVlu45evQoXF1d8dlnnwF49tXx/v371ZOQdIaenh4mTZqEo0ePIikpCc7Ozhg8eHCFtXiJiLRl9+7dijVYCwoKsG3btka5+1NJSQnCw8MRGxsLGxsb9OrVq8JOSkSNiUoF64tLt164cEGxHikAuLi44OnTp3VLRjrJ3t5eaVcOIiJdUVBQoChWy0kkEjx8+BAdOnTQUirN2Lt3Lx4+fAjg2ZqysbGxmDdvHoyMjLScjEgzVBoS4OHhgZMnTwJ4NhwgPT0dPXv2VJxPTU2t8NUxERGRJunr61e6LfiLm9g0dIWFhXj06JFSW0FBQYU2osZEpYJ1ypQpuHDhAoKCgvDOO+/A29sb3bt3V5y/cuUKWrZsqbaQREREL2NkZITg4GClNgcHB7Ro0UJLiTRDIBAoNux5HodnUWOm0pCAoUOHwtLSEuHh4RCJRJgwYYLit9qcnBxYWFhg5MiRag1KRET0Mv3794eLiwuio6NhY2ODjh07NrpCzsTEBG3btsWtW7cUbVZWVo2uMCd6nkoFKwB069YN3bp1q9BuaWnJFQKIiEgrBAIBWrduXeVWrI3FiBEj4OjoiJiYGNja2qJr166VDocgaiz47iYiImpg9PT0EBISgpCQEG1HIaoXLFiJiKjBi4mJwfXr1yGXy9GxY0elpReJqOFjwUpERA3a48ePsX37dsWSi/fv38eECRPg6+ur5WREpC4qrRJATUtOTg7EYrG2YxARVeratWtK64PL5XJcvXoVAJCdnY1Lly7h1q1bkEql2opIRHXEHlaqUlFREXbt2oXY2FgIBAK0bNkSr7zyCgf2E5FOkclklbZFRUXht99+Q1lZGQDg/PnzmDJlCoyNjes7IhHVUZ17WNPT0/HgwQMUFhaqIw/pkPJt/4BnPRb379/H5cuXtZyq/pWWleHsw4f4+dw5/HbtGhKysrQdiYieU9kuVh06dMCpU6cUxSoAZGRk4MaNG/UZjYjUROWC9eTJkxg0aBBCQ0MxevRoxXpwWVlZGDVqlGInLGq4njx5UqEtLi6u/oNo2Yl793A5JgaZ+fl48vQpdv79N3L4CxqRzmjVqhXGjh0LT09PeHh44NVXX0Xr1q2Rk5NT4drs7Oz6D0hEdaZSwXr69GnMnTsXVlZWmD17ttLYIWtrazg4OGDPnj1qC0naYW9vX6O2xkwul+NecrJSW2lZGe6npGgpERFVpnXr1njjjTfw5ptvok2bNgBQ6aQrTsQiaphUKli///57dOrUCb/++ismTpxY4XxgYCDu379f53CkXb169YJIJFIcly9O3dToCSv+NTFoZDvnEDVGgwcPRosWLSAQCGBsbIy+ffs2moI1JycHu3btwqpVq7Bt2zakp6drOxKRRqk0eyYqKgpLliyp8rytrS0yMzNVDkW6wdraGvPmzcPjx4+hp6cHb29vCCsp3hqzUpkM1s2a4UpsLKxNTWFmbIxmRkbwd3bWdjQieglTU1NMmDABEokEenp6jWaLVrlcjh07diiK1Ly8PKSmpmLBggWcFEuNlkrVh4mJCYqKiqo8n5CQAEtLS1UzkQ7R19dHy5Yt4evr2+SKVUlpKbZcuoSU3FwY6+sjMScHdmZmmNylC0wNDbUdj4hqyNDQsNEUqwDw9OnTCj2q+fn5ikmyRI2RShVI586dsW/fPpSWllY4l5GRgV27dqF79+51DkekTfdTUpCRlwcAsBeJ0NLREcWlpbAwNdVyMiJqygz/+YVZIpEgLi4OUVFRyMnJ4XJd1Kip9N3BggULMG7cOLz66qsYNGgQBAIBzp8/j8uXL2Pnzp2Qy+WYPXu2urOSFpSUlCAiIgIZGRnw8PBA27ZtIRAItB2rXuQVF1doyy8uhlwubzJ/BkSkeywsLODr64stW7agpKQEwLMe1oyMDLi5uWk5HZFmqFSwenl5YceOHVi2bBm+/fZbyOVybNiwAQAQHByMTz75BK6urmoNSvVPJpNh48aNSElJgVAoREREBBISEjB06FBtR9O4MpkM+SUluJ+SgmaGhnCytISBnh687e1ZrBKR1tnZ2cHW1hYSiQQWFhZwcnLCX3/9VematESNgcqjs319fbF582bk5uYiLi4Ocrkcbm5usLa2Vmc+0hKpVIq1a9diz549EAgEcHZ2hre3N65fv47evXvDtJF/LX7w1i08SE2FdbNmiMvMRGZBAV7t2BGD/1kuh4i0JyMjo87bRaempgIAEhMTKx3eVhsikQh2dnZ1ukdtXL9+HQcOHEBSUhL09PTg4OAAPT29aueWEDV0dZ5OaGFhgYCAAHVkIR1y9uxZREZGQi6XQy6XIzExEaampnB2doZEImnUBau4uBgP//kwcxCJ4CASQS6Xo5OHB5oZGWk5HVHTlpGRgenTp7+0OCsqKkJeXh4EAgFEIhGMXvi7KxQKYWZmhmXLllW6tWttmJiYYN26ddUWreoqsktKSnD48GGlAvXGjRto37492rZti+jo6Brdq76LbKK6qlPBeu3aNSQkJEAsFittHgAAAoEAb775Zl1uT1r0+PFj2NjYQF9fX9H7kJWVheDg4Ea7AkRGXh7OPnyIuMxMPEhNhYetLYz+WSJGIBBA+twWj0SkHWKxGEVFRQgLC4Ojo2Ol1yQlJeHUqVOKzyU9PT0MHjwYNjY2as+TmpqKrVu3QiwWV1kAZmRkYOabb6I4N7dOzyXU04NUTw9RUVEoKi5GsUSCsrIy6OvpoSAjA9ERETiwdWuN7mVsYYGfNm9m0UoNhkoF6/3797FgwQLEx8dXKFTLsWBt2CwtLZGWloaAgADExMSgsLAQfn5+GDdunLajaYS0rAy/XbuGgn8mMJSUluJ+cjICmzcHAJgZGcHT1labEYnoOY6OjnB3d1cc5+bmIjExEdbW1khLS4OFhYXS9ZmZmVob3ykWi1Gcm4t32reHi5VVne6VVVCAT+LjUSQUAv9802VhYoIvXnmlxhuaJGVn48cbN6otsol0jUoF67///W9kZWXhs88+Q0BAAMzNzdWdi7SsV69eePLkCUQiEQIDAyESiTBlypRG+//1k6dPFcUqALRycsKTzEwY6uvD09YWPX19ubsVkY6KjIzE6dOnFR0omZmZFXpTJRKJNqIpcbGyqvMvvnpCIZpbWyM+KwsAIBQI4GFrC5GxMRxfKNKJGhOVCtbHjx9j3rx5eO2119Sdh3SEk5MT5s6di3v37kFfXx/+/v6Neo0/oxd2hzHQ00MLe3tM6d4dFiYmWkpFRC9TWlqK8+fPK8bb5+bmIjk5GSUlJXB+bkc6Pz8/LaZUH6FAgOY2NrAXiVAkkcDM2BgGenqVbiFN1JioVLC6u7tzaZ8mwMzMDMHBwdqOUS/crK3hbGmJ5JwcRVsrJycWq0Q6rrCwULEWaUxMDJ4+fQq5XA49PT0YGxujRYsWaNeuHXx8fLScVD1cLC3hZGHxbAc+AwMAgLuNDewa6bdfROVUKljnzp2LL774AsOGDYODg4O6MxHVO4FAgHFBQbgRH4+MvDy4WlkhgGsJE+k8c3NzWFhYICUlBU+fPgXw7O+zl5cXTExMMGLECADPCtvGsLqJQCDAa5064dqTJ0gVi+FsYYEgT09txyLSOJUK1gEDBqCkpASDBg1Cly5d4OjoWOk+zR9++GGdAxLVFyN9fXTx8tJ2DCKqBYFAgIEDB2LHjh0Anq0I0Lx5cxgbG6O0tBR//PEHsrOzIRAI4OPjg/79+0Nfv84rOmqViaEherZooe0YRPVKpb+1V69exaeffoqioiKcOXOm0msEAgELViIi0jhHR0fMmjULP/30k2I4APBs8pVAIIBQKIRcLkdUVBTs7e3RsWNHLScmotpSqWD973//CzMzM3z33Xdo164dzMzM1J2LiIiagD59+mDy5Ml1XgbR2NgYY8aMwdmzZ5GTkwMbGxsYGxujuLhY6brExEQWrEQNkEoFa3x8PN577z1069ZN3XlIB5WVlSE1NRUWFhb85YSoCevTpw+SkpIqtE+YMAGffPJJhfa9e/figw8+UGozNDTEnTt3NJKvefPmCAsLg1QqhaGhIY4fP46HDx8qXdOYtw+XyWQolEphxh35qBFSqWD18fFBXl6eurOQDkpISMDOnTuRn58PoVCIrl27ol+/ftqORURasHv3bpQ9t+NbVFQU3nrrLQwaNKjKx5iZmeHYsWOKY02vMCMQCGBoaAgA6Ny5MxITE1FQUADg2Xak7du31+jza0tkcjJOP3iAgpIS2JiZYXhAANdlpUZFpYL1/fffx6JFi9CjRw8EBASoOxPpkP379yM/Px/As9/ez58/Dz8/P7i5uWk5GRHVtxd7J9etW4fmzZtXu/ydQCB46W5KxcXF+OCDD3Ds2DFYWFjgnXfeUXlXvZSUFCQmJsLKygpeXl4ICwtDXFwcBAIBPDw8GvyEq8qIi4tx+PZtyMo3TsjPx/6bNzG9Z08uQUmNhkp/czdu3IhmzZph3Lhx8PHxgZOTE4QvLFosEAjw448/qiUkaUdRUZFimRgAKCgogFQqxbVr1yCTySpcn5KSovS/VTE1NeV2gEQNnEQiwYEDB/DWW29VWxQVFhaid+/ekMlk8Pf3x8KFC+Hr66t0zaZNmzBv3jzMnDkTx48fx6effoqgoCB41XLVjuvXr+PChQuKY3d3d4wYMaLC8zU2cZmZimK1XHZhIbILC2HdrJmWUhGpl0oF66NHjwA82w2poKAAjx8/rnANf6tr+IyNjWFpaYmcnByUlJTg1KlTAIDk5GQcOXKkysetX7++2vsKhUKsWrWq0W7zStQUnDx5Enl5eRg9enSV13h6emL58uXw8/NDXl4eNm7ciPHjx+Pw4cNwdHRUXNezZ09MnDgRADBt2jRs3rwZV65cqVXBKpFIcPXqVaW2uLg4JCYmNvpvhKwqWV/WQE+PY1mpUVGpYD19+rS6c5AOEggEGDZsGHbt2gUA6Nu3L1q0aIEBAwbU6b6mpqYsVokauD179qBnz57Vbh7Tvn17pTGj7du3x5AhQ/Dbb79hwYIFivbnt00VCASwtbVFZmZmrfIUFxdDKpVWaBeLxbW6T0PkamWFVk5OuP/ct1s9W7SAYSMc/kBNV4N7N4eFhVX4Lbrc//73PwwdOrTSc1XNbr19+zaM+FtolXx8fLBw4ULEx8fDysqKX+UTEZKSknDx4kWsXr26Vo8zMDBAq1atEB8fr9T+4rhSgUAA+Qtfcb+MSCSCjY2NUqErFArRvHnzWt2noRrRrh0C3dzwND8fza2tuVUrNTo1KliTk5MBAM7OzkrHL1N+vTp98skniklA5X755RecOHECISEh1T524MCBePvtt5XaymeTUtXK9+MmIgKeLVdlY2ODXr161epxZWVlePToEUJDQzWSa9CgQTh58iTS0tJgbm6OHj16NJlvcwQCAdxtbOBuY6PtKEQaUaOCtU+fPhAIBLh16xYMDQ0Vxy9z//79Ogd8kY+PT4W28jVhX7a+nq2tLQIDA9WeiYioqZDJZNi7dy9GjRpVoWf0X//6FxwcHPDee+8BANasWYPAwEC4u7tDLBZjw4YNSE5OxtixYzWSzcbGBuPGjYNEIoGBgQHnUhA1IjUqWJcvXw6BQAADAwOlY10QERGBxMREpfFQRESkGRcvXkRycjJeeeWVCudSUlKUVowRi8X46KOPkJGRAQsLC7Ru3Rq//fZbpR0P6sRvznRHWFgYWrZsiX//+9/ajkINXI0K1jFjxlR7rE2HDh2Cqakp+vbt+9JrDx48iF27dsHAwACdOnXCokWLlAb7ExFR9bp3715h96hyW7duVTpeunQpli5dWu39KpvEu3//ftUDNkF3k5IQmZwMQ319dHJ3h5uKu3nVdiezqKgofPfdd4iMjERSUhI++OCDOm+xS1QVlSZdffDBBxg/fjzatWtX6fnbt2/j119/xYoVK+oU7mVKS0tx9OhR9OnTB6aVLOvxvD59+iAgIADOzs5ISEjATz/9hAkTJmDfvn0vXfKkumI4JSUFTk5OKuUnIiKqixvx8TgeGak4fpyejkldusBJhV2uaruTWVFREVxdXTFo0CCNf94TqVSw/vHHH+jatWuVBWtiYiL27dun8TfwhQsXkJWVhWHDhr302g8//FDxc6dOndCtWzcMHjwYGzZswKeffqrBlEREpE4lJSWIioqqMAFXG1JSUlBSUqK15494YcWFMpkMtxISVCpYa7uTWUBAgGK3y1WrVlV5X7lcjpUrV2L37t0wMDDA+PHjMXfu3Frno6ZNI8tapaenw9jYWBO3VnLo0CFYWlqie/futX6svb09OnbsiMjnfjOtSvmC+ZWpyVAEIiJSn4SEBLzzzjvajqHg7e2t7QhKarcgWOVqupNZTfzxxx946623sGvXLty8eRNLlixBhw4d0K1bNzUkpaaixgXryZMnlQq3Xbt24eLFixWuy8vLw8WLF9GmTRv1JKxCcXExTp48iREjRigmgxERUePn5uaGRYsW6cRwrJSUFOzcuVNrzx/o5oY/791THAsFArRzda3zfWuyk1lN+fn5Yc6cOQAADw8PbNu2DZcuXWLBSrVS44I1Ojoax44dAwDFEld3795VukYgEMDU1BRBQUFYsmSJepO+4PTp0ygsLMTw4cNVenxaWhquX7+OkSNHqjkZERFpkpGREXx9feHu7q7tKDAzM9Pa5jMZeXl4mp8PMyMjlMlkcLGyQrCHB5wtLet875rsZFZTL05utrOzq/VOZkQ1LlhnzJiBGTNmAABatmyJZcuWqVwsqsPBgwfh7OyMjh07Vjj3xhtvIDk5GX/++SeAZ0MHzpw5g9DQUNjb2yMhIQHr1q2Dnp4e3nrrrfqOTkREVCeZ+fnYcukSpM9NkvJzdERzNWwcoOpOZlVRx05mRCqNYX3w4IG6c9RKbm4uzp07hzfeeKPSsTUymUxppqOrqyvS09OxfPly5OXlwdzcHF26dMG8efNeukIAERGRrrmRkKBUrALAtdhYtHVxqfO9Vd3JjEiTNDLpStMsLCwqDEd43otrAQYGBlZoIyKixisvLw8SiQQ2jXSr0heLVQAolcnqfN/a7GQmkUgQHR2t+DktLQ3379+HqampTgzXoMalQRasRERElZHJZDh58iQePnwIuVwOW1tbDB8+HObm5tqOplZtnJ1xOyFBaUWANmroXa3NTmbp6ekYNWqU4njjxo3YuHEjgoOD2UlEaseClYiIGgWpVIrt27fj9OnT0NfXh7OzMwDg/PnzGDx4sJbTqZebtTVGd+iAq7GxKCktRWtnZ3T29KzzfWuzk5mrq2uV11b1GAD44YcfVA9ITRYLViIiahQuXryImzdvoqysDGVlZYiNjYWRkRGSk5O1HU0jWjg4oIUaZvETNQQsWIleoqCkBH8/eYLMggK429gg0M0Nes99LUZEuiE6OhomJiZKbVlZWYrdmLSpWCLB/ZQUiIuKtB0FSTk5KJZItB2DqFbqVLBKJBJERkYiMzMTHTp0qLCtG1FDVyaTYfuVK8gqKAAAPEpLQ2puLobqwAdgYyKXy3Hnzh3ExcXBwcEB7du354YgVGsmJiawt7dHVlaWYtvWZs2a6cQC9fGpqZh47Zq2Yyj4cIUcamBULli3bNmCNWvWIC8vD8CzwdYhISHIysrC4MGDsXjxYrz66qtqC0qkDdEZGYpitVxkcjJ6t2wJU0NDLaVqfA4cOIAbN24oju/evauWLSF1VXR0NI4fP46nT5/C09MTw4YNg5WVlbZjNXhBQUE4evQo/P39kZeXBwMDA8yYMQOWalhIv66aOzris4ED4aIDWZJycrDh1i1txyCqFZUK1j179mD58uUYOnQounXrhqVLlyrOWVtbo0uXLjhy5AgLVtK4pOxstd4v9ulTPExNhVAgQBsXFxRKJMguLKxwXXRGBsye291G3TmaktjYWJw9e1ZpIfGcnBxcvHgRrrXYYtLU1BR2dnaaiKhW+fn5+PXXX1FaWgrgWfG6a9cuxcYspDofHx+MGzcOUVFRMDIyQqtWrdCsWTNtxwIAGBsaopWTEzxtbdV+78z8fPx57x4Sc3LgYG6Ovq1aVbvblcjEBMb376s9B5EmqVSwbtq0CX379sWqVauQXckHdevWrbmkBWmUSCSCsYUFfnyuV04VQj09mFpZoTA7G7liMVKe2y5QcO0anG1tkZaVpbS+YTNjYyReuFDhXsYWFhCJRHXK09Tk5eXho48+wr3n9kIvl5iYWKueMaFQiFWrVtXL8kUZGRkorOQXmZqIjIzE06dPAQAGBgZo1qwZUlJSkJOToxM9gQ2dvb097O3ttR2j3sjlcuyJiFB8E5SUk4Pfr1/HrF69YKCnp+V0ROqjUsEaFxeHsLCwKs9bWloiJydH1UxEL2VnZ4efNm+GWCyu031SU1OxadMmzFu8GOfOnaswm9jPzw9BQUG4fPkysrKy4Obmhi5dusDY2LjCvUQiUYPo4dMl5ubm+Oabb7B27VpFEQc8G4v49ttvw9DQECkpKVi/fj2mTp0KJyenKu9lampaL8VqXl4eli5dqvLWkmKxGI8fPwbwbIvKAQMGoFmzZhUmC1HtFBQU4MqVK0hLS4ODgwM6d+6sM72rmpQmFlcYtlQkkSAuMxM+Tahwp8ZPpYJVJBJV2rNa7vHjx/zgJo2zs7Or8/usfCcXV1dX2NnZobi4WOm8g4MDgoODERwcXKfnoarZ2dlh7ty5OHbsmGLSVf/+/RVraJZzcnLSid1zzM3NsXz58mp7WKsrsuVyOXbv3o3ExEQYGBjAyMgI3bp1g9FzQ0yoduRyOfbt24fMf74hycjIQGpqKl5//fVGOw66nImhIQQAXvz1iWPsqbFRqWDt2bMndu3ahQkTJlQ4FxUVhd9//73SXTKIdFnHjh2RkJCgOM7Ly0NCQgK+//57tGjRAr169eLMdQ2xsLDAuHHjtB2jxmr6i1JVRfaCBQsQGRmJjIwMeHp6wtvbW90Rm5TU1FRFsVru6dOnSEtLg6Ojo5ZS1Q8LExO0dXXF7cRERZuXnV21Y1iJGiKVCtYFCxbgtddew7Bhw9C7d28IBALs27cPe/bswYkTJ2BnZ4dZs2apOyuRRgUGBkIoFOLGjRuQSCS4f/8+cnNzATzrscnLy8OYMWO0nJIaA319fbRr107bMRoNYRXrIlfV3tgMbtMGnra2SPpn0pX/C99OEDUGKv1tdnBwwN69e9GjRw8cPXoUcrkc+/fvx5kzZzB06FDs2rWLa7JSgxQQEIA33ngDAQEBFSZQ3b17F1KpVEvJiKgqDg4OFXpSnZycmszkK4FAgFZOTujXqhXaurpyYxNqlFReh9XGxgbLli3DsmXLkJWVBZlMBmtr6ybzGy01buVjW5+np6fH9zeRjho5ciQiIiKQnp4OfX19iEQiPHjwAL6+vtDjbHmiBk8tn77W1tawtbXlhzk1Gq1bt67QwxoUFMQPPiIdZWRkhJCQELi5uSE6Oho3btzAiRMnsHfvXsieW5aOiBomlXpY16xZU+15gUAAIyMjODo6IigoCA4ODiqFI9IWY2NjTJ06FZcvX0Z2djZ8fX3Rvn17bcciomqUlpbi6tWrSm0pKSl48uQJvLy8tJSKiNRB5YK1fKmQF9cifLFdT08PY8eOxccff8weWGpQRCIRBgwYoO0YRFRDEokEEolEcVzes5qfn6+tSESkJioVrOHh4ZgxYwZatWqFsLAwNG/eHMCzDQW2bduGhw8f4ptvvkFhYSF++eUX7Ny5E/b29lw5gIiINMbU1BSOjo5ISUlBXFwc0tPTIRAI4OvrizZt2rDThKgBU+lv72effQYvLy+sWLEC/v7+MDMzg5mZGVq3bo0VK1bA3d0dq1atQqtWrfDFF1+ge/fu2L9/v7qzExERKRk0aBBkMhnS0tJgaGgIb29vxZhWImq4VCpYL1++jKCgoCrPBwUF4cJze62HhoZW2PKSiIhI3UQiEZo3b47g4GAEBgYqlliMjY3VcjIiqguVClZDQ0Pcvn27yvO3bt1S2hGotLQUpqamqjwVERFRrYhEogpbsr646gcRNSwqFazDhg3Dvn378OWXXyI+Ph4ymQwymQzx8fH44osvcODAAQwbNkxx/ZUrV+Dj46O20ERERFXp2LEjjIyMFMdGRkbo2LGjFhMRUV2pNOlq8eLFePr0KTZt2oTNmzcrBrLLZDLI5XIMGDAAixcvBgCUlJSgdevW6NChg/pSExERVcHa2hphYWGIioqCXC5HixYt+C0fUQOnUsFqZGSE//u//8O9e/dw7tw5JCUlAQBcXFzQvXt3tG7dWunaOXPmqCctETUKpaWliI+PR7NmzbhOM2mEqakp2rVrp+0YRKQmKm/NCgD+/v7w9/dXVxYiagJSU1Oxfft25OXlAQBatmyJsWPHchcxIiKqUp0KViKi2jp27JiiWAWABw8e4M6dOwgMDNReKGpwUlNTtR0BgO7kIGrsVC5Yw8PDsXnzZty7dw95eXkVdrwCgPv379cpHBE1PpUtcZeSksKClWpEJBLBxMQEW7durdN9hEIhzMzMkJ+fr9gRS1UmJiZchYBIw1QqWI8fP44FCxbAx8cHQ4YMwa+//ophw4ZBLpfj9OnTcHd3R79+/dSdlYgaAVdXV8TExCi1ubi4aClN/cvLy8OxY8fw5MkT2NnZoX///k3q9deVnZ0d1q1bB7FYXKf7pKamYtOmTZg/fz4cHR3rdC+RSAQ7O7s63YOIqqdSwbp27VoEBARgx44dyM3Nxa+//opXXnkFISEhSExMxLhx4+Dq6qrurETUCAwePBjbt29HTk4OAKBt27Zo06aNdkPVo507dyIxMREAUFBQgK1bt2LBggUwNjbWcrKGw87Ors4For7+s48/V1dXuLu7qyMWEWmQSgVrdHQ0Fi5cCD09PcVf+tLSUgDP/vK//vrr+PnnnzFq1Ci1BSWixsHOzg7z5s1DUlISmjVrptiJqCnIyclRFKvliouLERUVhbZt22opFRGR7lOpYDU2NlbsZCUSiWBoaIiMjAzFeVtb2wr/KBMRlRMKhXBzc9N2jHpnaGgIoVBYYcykiYmJlhIRETUMKu105enpiejoaMVxq1atsH//fpSWlqKkpASHDh2Ck5OT2kISETUGpqamFXZccnZ2hpeXl5YSERE1DCr1sPbv3x9bt27F+++/D0NDQ8ycOROzZs1CUFAQAKCoqAjLly9Xa1AiavzKyspQUlLSqHclGjJkCJo3b47Y2FjY2dmhY8eOit0CiYiocioVrFOmTMGUKVMUx71798bWrVtx4sQJ6OnpITQ0FF26dFFbSCJq/CIiInDy5EkUFhbC2dkZr7zyCmxsbLQdS+0EAgHatm3LMatERLVQ64JVIpHg3LlzcHFxQcuWLRXtnTp1QqdOndQajoiahoyMDBw8eFCxnnNycjL27t2LadOmaTkZERHpglp/D2VgYID58+fjxo0bmshDRE1QdHR0hc1HkpKSUFRUpKVERA2LuLgYl6KjcTE6GrmFhdqOQ6R2te5hFQgE8PDwQHZ2tibyEFETZGVlVaGtWbNmMDIy0kIaooYlIy8P2y5fRsk/y0teio7GhM6d4WRhoeVkROqj0kj/GTNmYPv27RV2qyEiUoWvr6/STHmBQIB+/fpxMhJRFfKKi7Hvxg2sPn0aq06cQGZ+vuKctKwMV/j5TI2MSpOubt26BUtLSwwfPhzBwcFwcXGpdJeWDz/8sM4BiajxEwqFmDRpEh4/foysrCx4e3tzq0uiauyNiEBKbi4AIDE7G/klJejk4QH9f37Jyysu1mY8IrVTqWDdtm2b4udLly5Veo1AIGDBSkQ1JhQK0aJFC23HINJ52QUFimIVAGzMzJBTWIicwkLYmpkBAFo4OmorHpFGqFSwPnjwQN05iIiIqAYM9fUhFAgg+2eioqNIhJLSUpgaGsJQXx+Bbm4IcnfXckoi9VKpYCUiItJl9+7dw9WrVyGTydCxY0e0a9dO25HUppmREdq4uOD2P1ugCwQChHh5YXJICAQCgZbTEWlGnQrWmzdv4sqVK8jMzMSECRPg4eGBoqIixMTEwMPDA82aNVNXTiIiopdKSEjAvXv3cOHCBcWkvfj4eAgEAgQEBGg5nfoMbtMGbtbWSMjKgq2ZGQLd3FisUqOmUsEqkUiwcOFCnDp1CnK5HAKBAL1794aHhweEQiHefvttvPnmm3jnnXfUnZeIiKgCiUSC7du3Iy4uDnfv3oVYLEa7du0UHScRERGNqmAVCARo6+KCti4u2o5CVC9UWjPm22+/xdmzZ/Hpp5/i2LFjSgt+GxkZYdCgQTh16pTaQhJR43Lnzh1s3boVv/32G2JjY7UdhxqB69evIy4uDsCzYk4ikSgtvainp6etaESkBir1sB4+fBjjx4/HuHHjKt1AwNvbG8eOHatzOCJqfCIiInDgwAHF8aNHjzBmzBikp6dDIpGgbdu2cGGvEdVSWlqa4mcXFxc8ffoU+f+sTSoQCBAcHKytaBoXmZyMx+npMDc2RicPD4gqWWaSqKFTqWDNzMyEn59flef19PRQzDXgiKgSf//9t9JxQUEBVq5cqdg44MqVKxg/fny1/8YQvcjNzQ03b94EAFhaWqJdu3bQ09ND69at0aFDB3h7e2s3oIacj4rC+cePFcf3kpMxpXt3mBgaajEVkfqpVLA6OTlVu8tVREQEmjdvrnIoIl3z9OlTREREQCaTITAwEI5c41BtkpKSUPrPlpIAIJfLcf78eRasVCuBgYGIjY3F3bt3AQB+fn6YMGECLBrx9qRyuRxXnzxRassvKcG9lBR05LJW1MioVLAOGzYMmzZtwoABA+Dh4QEAitmJu3btwtGjR/Hee++pLSSRNqWkpGDjxo2QSqUAgGvXriEsLEzx3qfa6dSpEw4cOACJRIKioiJIpVI4OzsrXVNYWKildPWruLgYWVlZsLOzg4GBgbbjNGh6enp49dVX0a9fP5SUlMDBwUHbkTROLpejTCar0C4tK9NCGiLNUqlgnTlzJm7duoVJkybBy8sLAoEAK1asQG5uLlJTUxEaGoo333xTzVGJtOPy5cuKYhUAysrKcOHCBRasKmrfvj12796Nw4cPQygUwsPDA2UvfMC2adNGS+nqz/Xr13Hs2DFIpVIYGxtj5MiRaNWqlbZjNXiWlpbajlBvhEIh/J2ccCcpSdGmr6eHVvwGiBohlQpWQ0NDrF+/HgcOHMDx48chk8kgkUjg5+eHBQsWYOTIkVwPjhqNoqKiCm0co10zGRkZEIvFSm1nz57FqVOnYPzPxJDk5GSUlpYqlh9q2bIlXFxcEB0dDQBITU0FACQmJioNHVCFSCSCnZ1dne6hDnl5eTh8+DBk//SOFRcXY//+/fDx8WFPK9XKgNatYWJoiMfp6RAZG6Objw8sTE21HYtI7VTeOEAgEGDkyJEYOXKkOvMQ6Yzs7GwcO3YM165dQ2xsLLy9vWFubg6gafQA1lVGRgamT59eoeB/9OgRcnJyADz7SlMqlSIyMhJ3796FhYUFrl+/jl9//VVxvVAohJmZGZYtW6Yo8FRlYmKCdevWab1oTU5OrvBaiouLkZ6ezhUSqFYM9PTQp2VL9GnZUttRiDRKpYJ15cqVGDZsGPz9/dWdh0gnyOVy/Prrr0hPT4eFhQVsbW3x+PFj9OzZE0FBQY16iRx1EYvFKCoqQlhYmNIktb179+L8+fMAgPz8fOTn58PMzAxdu3aFQCBAhw4d0LZtW7XnSU1NxdatWyEWi7VesNrb20MgECitYW1gYAAbGxstpiIi0l0qFazbtm3Dpk2b4ObmhiFDhmDw4MH1NqN37969+OCDDyq0T5s2DYsWLarycXK5HD///DN27NiBrKwstGrVCh988AECAwM1mJYaqvT0dKSnpyuOXV1d4erqimHDhjXp2et9+vTB5MmTazVG3dHREe7PzVgeM2YMkpKSkJKSgry8PBgaGiIwMBBWVlYAnu1Y5N7IZzhbWVmhV69eOHv2LORyOYRCIQYOHKgYJkFUF8VSKVJyc2FlagpLDg+gRkKlgvXixYs4efIkjhw5gvXr12Pt2rXw8vJSFK/l6ylq0vr16xVfzwJ46YzQn3/+Gd999x0WLVoEPz8/bN++HW+//Tb2798PNzc3TcelBsbExKRCDxgAmDbQf/zXrVuHVatWYfLkyfj3v/9d6TVhYWG4evVqhfbQ0FCsW7dObVnc3d2xaNEi/P3337h+/Tr09PQgEokU55vKpJnQ0FAEBAQgLS0Nzs7OSn8GRDVRWlaG4tJSmBkZKdoep6dj/82bkJaVQQAgyNOTwwWoUVCpYDUzM8OoUaMwatQoiMViHD9+HMeOHcOPP/6INWvWoEWLFhg6dCimT5+u7rwKrVu3hrW1dY2uLSkpwdq1a/H2228reoY6duyIQYMGYcOGDfj00081lpMaJpFIhHbt2ikWIgcADw+PBvnLze3bt/Hbb7+9tGd49erVSqsh5OTkYOTIkRg0aJDaMzk6OmLYsGHo3r079uzZg4KCAgDP/m3p1KmT2p9PV1lZWSl6lolq40Z8PMIfPUKxVAp7c3OMCAyEtakpjt29q1jWSg7gamwsWjk5wakRr0dLTYPKk67KiUQijB07FmPHjkV2djb279+P1atX45tvvtFowVobERERyM/Px+DBgxVthoaG6N+/P/78808tJiNdNmLECHh5eSE+Ph4ODg4NcvhIQUEBFi9ejM8//xw//vhjtde+2LN5+PBhGBsbVyhYi4uL8cEHH+DYsWOwsLDAO++8g3HjxqmUz9LSEmFhYYiNjYVAIICnpydnyVOjlVTJVuaqyC4owK6//0b59z/ZhYXYdOECBrZujYRKniMiLg7+z611rK4cRPWpzgUrAEilUvz11184cuQIzpw5g8LCQjg5Oanj1lUaNmwYsrOz4ezsjNdeew1Tp06Fnp5epdeW78r14lAFb29v/PLLLyguLubYMapAKBQiICAAAQEB2o6isv/85z8IDQ1F165dX1qwvmjPnj0YOnRohWEQmzZtwrx58zBz5kwcP34cn376KYKCgmo8FCgvLw+3bt1CXl4ePDw80LJlyyY9LpgaP5FIBGMLC/x440ad7iPU04OplRWS4uKQlplZ4fzfmZmIT0tD6QvrGkcXFcHowQOlNmMLCw5DoQZF5YK1tLQUFy5cwJEjR3Dq1Cnk5+fDzs4OY8aMwZAhQ9ChQwd15lSws7PD3Llz0a5dOwgEApw+fRr/93//h7S0NHz88ceVPkYsFsPQ0BBGz43zAZ79IyKXy5Gbm1ttwdq3b98qz6WkpGi8OCdSxeHDh3Hv3j3s3r271o+9ffs2Hj16hGXLllU417NnT0ycOBHAs8mOmzdvxpUrV2pUsBYXF+P3339Hfn4+ACAqKgopKSno2bMn9PXV8vszkc6xs7PDT5s3V1iTuLZSU1OxadMmzBk/HhcvXlQ6Z2pqiilTpiAhIQFHjx5FSUkJhEIhOnXqhJCQkAr30pU1iYlqSqVPiKVLl+LUqVPIzc2FlZUVhg4diqFDhyIoKEjjGwb06NEDPXr0UBx3794dRkZG+OWXXzBz5kzY29tr9PmJGoKUlBQsW7YMGzdurPCLWk3s3r0bLVq0qLR3+fneUIFAAFtbW2RW0ttTmaioKEWxWlRUhOjoaFy7dg2PHj1CSEgI2rVrV+usDYlUKsWNGzeQmpoKNzc3tGvXDkKhUNuxqB7Y2dnVuUAs/6WuS5cuKCsrQ1RUFID/vy66r68vfH190aNHDyQnJ8PKyoq9qNRoqFSwnjp1Cv369cOQIUPQpUuXSr+Kz83NhUU9DfIePHgwNm7ciPv371dasIpEIkgkEpSUlCh9eIvFYggEgpfmPHXqVJXnqut9JdKWyMhIZGZmYsyYMYq2srIyXLt2Ddu3b8edO3eqHEJTWFiIw4cPY968eZWef7EntLLVFKry/E5VMTExKCgogEAgQHFxMcLDw+Hs7Nyoe31+/PFHXLx4ERKJBHZ2dhgwYABeeeUVbceiBkYgEGDChAmIjo5GVlYWvL29ldbwNTAwaPRLw1HTo1LBeuHChUq/vpNIJDh16hQOHjyIc+fO4c6dO3UOqA7lX1XGxsai5XPLe8TExMDZ2ZnjV6nR6dKlCw4ePKjU9sEHH8DLywvTpk2rslgFgGPHjkEikWDEiBFqz+Xj44NLly6hpKRE0dNqY2Oj6GWMj49vtAVrZGQk9u/fj7J/xhdmZWVBIpGgb9++TWYpL1IfgUAAHx8fbccgqjcqFazPF6tyuRyXLl3CwYMH8eeffyI/Px/W1tYYNmyY2kK+zJEjR6Cnp1flzlsdOnSAmZkZjh49qihYpVIpTpw4gZ49e9ZbTqL6YmZmhhYtWii1mZqawtLSUtH+r3/9Cw4ODnjvvfeUrtu9ezf69eunkeWWzM3NMXr0aFy+fBlRUVEwMTGBq6ur4nx9fSujDTdv3lQUq+WSkpJQXFyspURNQ1paGsLDw5GVlQVfX1/07NmTK1EQNUAqz3K4e/cuDh48iMOHD+Pp06cQCAQYMmQIJk2ahMDAQI2NZZ0yZQo6d+6sGEd36tQp7Nq1C5MnT1b0zLzxxhtITk5WLFllZGSEGTNmYPXq1bC2tkaLFi3w66+/IicnB1OmTNFITiJdl5KSUmH8ZExMDK5fv46NGzdq7HmdnJwwevRo+Pv748SJE4rhBG5ubvWy6Yi22Nvbw9DQEBKJRNFmamr60k1PSHUFBQXYtGmT4peC1NRU5OTkcBgGUQNUq4I1ISEBBw4cwMGDBxEXFwcHBwcMHz4cAQEBePfddzFw4EC0b99eU1kBAJ6entizZw9SU1Mhk8ng4eGBpUuXIiwsTHGNTCar0JMxbdo0yOVybNy4UbE164YNGxrkQvBEqti6dWu1x8Cz4TMPHz6s8h6nT5+u0LZ//36V8vj5+cHBwQFxcXGwsLCAu7u7xidtalOHDh3QoUMHPHr0CHl5ebCwsMCkSZMa9WvWtvv371fowY6MjKzXbwCJSD1qXLCOGzcOt2/fhpWVFQYOHIjPP/9csSNNfHy8xgK+6MMPP3zpNZV9EAsEAsyYMQMzZszQRCwiUoGlpWWTGb9pY2OD2bNn48KFCygoKIC/vz+6dOmi7ViNWmVjtYVCIVdmIGqAalyw3rp1C66urliyZAl69erFNROJ6KVKSkqUlrLSppSUFJSUlGg1g5ubG8aPH6/VDE2Jv78/zpw5A7FYDJlMBoFAgA4dOnAMK1EDVOOq86OPPsKhQ4cwZ84cWFhYYODAgRgyZAg6d+6syXxE1IAlJCTgnXfe0XYMBW9vb21HoHpkZGSECRMm4Ntvv8WjR4/g7OzcqCf2ETVmNS5YJ06ciIkTJyIhIQEHDx7EoUOHsGvXLtja2qJz584QCAQci0WNUlFREe7evQupVIrWrVvzA68W3NzcsGjRIp3YDS4lJQU7d+7UdgyqZxcvXoSRkRHatm0LAPjzzz/h5ORU7dJuRKR7av29vpubG2bNmoVZs2YpVgo4cuQI5HI5PvvsM/z111/o06cPunbtqtIOO0S6JDc3F+vXr0deXh4A4MyZM5g8eTIn69WQkZERfH19dWIRczMzM/6b1AQ9evSo0rZWrVppIQ0RqapOA1HbtGmDNm3a4P3338fly5dx4MABHDlyBL///jtMTExw48YNdeUkUklGRgYKCwurPJ+SkqL0vy8KDw9HQkICDAwM0KxZM0ilUoSHh2PSpEkaydvYSSQSXLlyBbGxsRCJROjcubOi97WwsBBGRkbs+SK1EIvFyM3NhZmZWYWVAvgtCVHDo5aZU0KhEF27dkXXrl3x2WefKXa7ItKmvLw8LF26tEbbhq5fv77S9piYGOTk5EAgEGDAgAEwMjJCbm6uuqM2GadPn1b0eOXk5CAlJQXDhw/HhQsXkJaWBiMjI3Tp0gXt2rXTclJqyP78809cunQJMpkMhYWFKC0thUgkAvBstYbAwECkp6drOSUR1Ybap/obGRlhyJAhGDJkiLpvTVQr5ubmWL58ebU9rC8TGRmJEydOwMDAQPF18os7SFHNlJaWIioqSnEskUiQmZmJjRs3Kpa2KikpQXh4OJycnGBvb6+VnBkZGRCLxXW6R2pqKgAgMTERpaWldbqXSCRqtNvVakJ8fDwuXLigODY1NYWxsTG6deuGZs2aoU2bNjA0NNRiQiJSBdemokatrh/0zZs3h5GREa5evYrS0lK0bdsWvXr1Uk+4JkYgEEBfXx9SqRSZmZmIjo5GWVkZioqK4O7urjSDPz4+XisFa0ZGBma++SaK69iLLtTTg6mVFb5YuhSy5zYxkcnlyP+nx6+ZiQmMalA4GVtY4KfNm1m01lBiYiKAZ7tcSaVSRbu9vT2MjY0rDAOqajhQOVNTU/7ZE+kAFqxE1RAIBOjbty969+4NuVzO8ZV1oKenh4CAAFy7dg1PnjyBXC6HkZERDAwM8PTpU9jZ2Sm+ttXWGEOxWIzi3Fy80749XKys1HrvUpkM+2/eRMY/a1gLAPT280MLR8cqH5OUnY0fb9yAWCxm0VRDTk5OKCkpwalTpxRthoaGyMvLq3Qlm6qGA5UTCoVYtWoVzM3N1Z6ViGqOBStRDXBnHPXo2rUrjI2NERMTA0NDQzg6OkIsFiMmJgZFRUUQiURwdXWFl5eXVnO6WFnB09ZWrfe8k5SE0rIyWJmaKtoeZ2RgQOvWXBJQjTw9PdG1a1eUlpZCKpXC0NAQw4YNU3mlClNTUxarRDqABSsR1ZvynYYiIyORk5MDALC1tYWZmRm6dOkCNzc3uLu7N8pfEMRFRRXa8ouLIZPLoceCVa2GDx+OkJAQZGdnK4b1EFHDxoKViOrV48ePIZFI8PjxY5ibm8PFxQX9+vVDhw4dtB1No7zt7HA+KgrPr1nhYWsLvUZYnOsCW1tb2Kq5l5yItIf/UhJRvYmLi8PRo0dRWFgIb29vmJubIzg4uNEXqwDgaGGBQW3aoJmREQR4VqwO+Wf3JSIiqh57WImo3ty7d0/xs0AggKmpKR4/foxOnTppMVX9aefmhgBXV5TJZNDnBD5Sg5s3b+LSpUuQSqUIDAxEjx49OCaaGiUWrERUb/T1K/6T09RWXhAIBCxWqc7Kyspw+fJlHDlyBAYGBgCebcwhFArRvXt3LacjUj8OCSCietO2bdsKE6oCAwO1E4aogUpMTMQ333yDb7/9FpcuXUJ8fLzi3O3bt7WYjEhz2MNKRPXG0dERr776Ku7cuYPS0lL4+/vD1dUV6enpMDc3h4mJibYjEuk0uVyOEydOKDbikMlkiImJgbW1NczMzGBsbKztiEQawYKViOqVo6MjHP9ZLD8lJQWbN29GQUEBhEIhgoODERwcrOWERLpLKpUiNzcXlpaWcHFxQVpaGsrKypCbmwtzc3N07dpV2xGJNIIFKxHVu5KSEjx48AAHDhyAoaEhTExMIJPJcPnyZXh4eGhlW1aihkBfXx/NmjUDADRr1gwdO3ZEcnIyQkJC0K9fPzRv3lzLCYk0gwUrEWlUamqq0nFRURGOHDmCrKwsXL16FcXFxbC1tYWbmxtsbGwQERGBVq1aaTxHfUnMzkZcZiasmzWDn4NDo9wUgeqPUChE7969cfnyZZSWlsLU1BTjx4/HsGHDtB2NSKNYsBKRRohEIpiYmGDr1q1K7VlZWcjKykJBQQFyc3Mhl8uRm5uLxMREmJmZIS4uTmksq1AohJmZGfLz8yGTyeqUycTEBCKRqE73qI3LMTE4+/Ch4tjDxgbjgoK47BDVia+vL0JCQhAfHw8bGxt+I0FNAgtWItIIOzs7rFu3DmKxWKn95MmTiIyMxK1bt5CdnY2srCwIhUI4OTmhQ4cOWLRokdL1qamp2LRpE+bPn68Y+6oqkUgEOzu7Ot2jpiSlpbjw+LFS25PMTDzJzIQnd2CiOmrWrJlGvokg0lUsWIlIY+zs7CoUiKWlpUhJSYGFhQUEAgEsLCwgEonQqlUrDBgwAN7e3krXl6/d6urqCnd393rLXldFUimkZWUV2sVFRVpIQ43dw4cPcfv2bRgZGSE4OLjOv9wR6RoWrERUr/z8/NC/f3/k5+cjIiICDg4OaNGiBczMzBAUFKTteGpjYWICe3NzpOflKdr0hEJ41lMPLzUdN27cwP79+xXHd+7cwbRp0zhUgBoVFqxEVO+6deuGrl27IikpCZGRkTAyMkL79u1hYWGh7WhqNap9exy5cweJ2dmwMDFBn5YtIeI6maRmly9fVjqWSqW4fv06Bg8erKVEROrHgpWItEIgEMDV1RWurq7ajqIx1s2aYVKXLigtK4OeUMjJVqQRpaWlNWojasi4vgoRkYbp6+npfLHap08fbN68WdsxSAXt27dXOhYIBNzymBod9rASETUwO3bswK+//oqkpCQAz5Y5mjVrFkJDQyu9fteuXdi3bx+ioqIAAK1bt8bChQsREBBQb5lJc7p16wY9PT3cvn0bxsbGCAkJgZubm7ZjEakVC1Yi0hlyuVzneyJ1gaOjIxYtWgR3d3fI5XLs+3/t3WlQVFfeBvCnm72BBhRsWRRksYGoA66DGBM1mqHUUStaLkw0MVEjaiqMZiSZWK5hHEdTlaAmLsQtvhHHBRPiMooy+mpiBpUXJXEBFGUVROhma2i63w/GHlsWRei+ffX5fYl97j2X/6103Xo4nHtOcjLmzZuHgwcPIigoqMn558+fx+jRo9G3b1/Y2tpi69atmDlzJn744QcoFAoB7oA6kkQiQUREBCIiIoQuhchkGFiJSHA5OTk4evQoSktL4evri7Fjx8Kda5W2aPjw4UafY2Nj8e233yIjI6PZwLpu3Tqjz6tWrcKxY8fw448/Yvz48Yb2uro6fPTRRzh69ChcXFwwd+5cTJ482ST3QETUFpzDSkSCqqmpwZ49e1BaWgoAyMvLQ1JSEvR6vcCViUNjYyN++OEH1NTUNJnL2JLa2lpotdomqzJs27YNvXr1QnJyMqZNm4Zly5YhNzfXFGUTEbUJR1iJSFC5ubloaGgwaistLUV5eTk6d+4sUFWW79q1a5gyZQo0Gg1kMhk2bNiAwMDAp+q7du1adOnSBYMHDzZqHzp0KKKjowEAs2bNwvbt23H+/Hn4+/t3eP1ERG3BwEpEgnJ2dm7SZmVlBZlMJkA14tGjRw8kJydDrVbj2LFjWLx4Mb755psnhtbNmzfj8OHD2LlzJ+zs7IyOKZVKw78lEgnc3d1x7949k9RPRNQWnBJARILy9fWFt7c36urqDG2DBw+Gg4ODgFWZjkarRaNO1+7r2NrawtfXF7169cLChQsRHByMnTt3ttonMTERmzdvRmJiIoKDg5scf7gN7kMSiYRTM4jIInCElYgEo9VqcfDgQeTn50OlUgEApk+fjtDQUIEr63jVGg1SMjNxq6wMNtbWiPD3x6AePVBWVQVne3s42Nq26/o6nQ719fUtHt+yZQu++uorJCYmonfv3u36WURE5sbASkSC+fnnn5GVlQWJRGLY9zwvL++5DKzHf/kFN8vKAAD1Wi1SMjNx4tdfYWNlBWupFIMDAzE4IOCprrVu3ToMHToUnp6eqK6uRkpKCn7++WckJiYCAP7yl79AoVBg4cKFAB5MA/jiiy+wbt06eHt7G15wk8lkcHR0NMHdEhF1LAZWIhLMrVu3nqpN7G6UlOD4L7/AxsoKHs7OsJJKcb2kBG4yGfw9PKDV6XD6+nX4u7uj62Nv7jfn3r17WLx4Me7evQtnZ2colUokJiYiMjISAFBUVASp9L8zvvbs2YOGhga8//77RteZP38+FixY0LE3S0RkAgysRCSYLl264Pr1603anienrl7F+Zs3UVZVhWqNBnfVaigVCtTW18PzsXB65/79pwqs8fHxrR7ftWuX0eeTJ08+8ZrNnXPo0KEn9iMiMge+dEVEgomIiDDaIMDZ2RmvvvqqcAV1sLqGBqTn5QEAfDt3hkQigaq2FtX19XCRySB/7MWyLs2smEBERBxhJSIBOTo6Yu7cucjNzYVWq0VgYCBsbGwEramuvh6/FhVBVVvb7mup6+pQcP++4bOPmxtUtbXQ6fWwt7bG2exs2Flbw69zZ/Ty9kZFTQ0qamoM5xdUVKCulRepiIheFAysRCSoe/fuQa1Ww8vLS/CwCgC3i4sR/Z//mPVnnr95E0np6c0eC+zWzay1EBFZIgZWIhLM6dOnjeZORkZGYuTIkQJWBHTv2hXLX38d3q6uHXK9Ko0GP+XmoriyEi4ODpDb2yP3t9UCHjVt0CDYPbYOakFFBRL/7/86pA4iIjFjYCUiQVRVVSEtLQ3V1dWGrVkPHz4MhUJhtMd9UVGR0X9bIpPJ4OHh0e667G1tEeLpiR6PzK1tr8hHdp/KvnsX+y5cMDrubG+PAX5+kEgkRu1yBwfY//prh9VBRCRWDKxEJIjy8nLU1tYiNTXVqL2goAByubzJ+Vu3bm31elKpFOvWrWt2q1dLEuDhgQAPD+T8thaqVCLB8ODgJmGViIj+i4GViATh6ekJFxcXjBgxwjDCamNjg3fffRf29vZtvp5MJrP4sAo82O50Uv/+uH3vHipqa+Hn7g75M9wvEdGLhIGViARhY2ODiRMn4tChQ1Cr1XB0dMSYMWOgVCqFLs0sunfujO5CF0FEJBIMrEQkmMDAQMTGxqKyshJyuRxWVlZCl0RERBaIGwcQkaCkUinc3NwYVonaQKvVIjs7G/n5+UKXQmQWHGElIiISkbKyMuzbtw9qtRoA4Ofnh+joaItYx5jIVBhYiYiILEBpaSlqHtnp7HEPl3ZLSUnB/Ud2UMvIyICrqyvCw8MBdNwSb0SWhIGViIhIYGq1Gh9//DH0ev0Tzz18+LBhZY2HsrKy4OvrC0A8S7wRtQUDKxERkcCcnZ0RHx/f6gjrQ99//z2ys7ON2l577TX07t0bgHiWeCNqCwZWIiIiC/C0f8b/05/+hN27d6P0t80nevXqhaioKL64SM81BlYiIiIRcXV1RUxMDEpKSmBnZwc3NzehSyIyOdEF1iNHjuC7775DVlYWVCoVfH198eabb+KNN95odWvD4cOHo6CgoEl7ZmYm7OzsTFkyERFRh5JIJOjatavQZRCZjegC6/bt2+Ht7Y24uDi4ubnh3LlzWLJkCYqLizF//vxW+77++uuYOXOmUZutra0pyyUiIiKidhJdYP3yyy/RqVMnw+eIiAhUVFRg27ZtiImJgVTa8l4I7u7uCAsLM0OVRERERNRRRLfT1aNh9aGQkBBUVVU91duVRESWQKPVory6+qmWMSIietGJboS1ORcuXIBCoYCTk1Or533//ffYu3cvbGxs0L9/fyxatAhKpdJMVRIRPXAuJwfncnKgbWxEJ0dHTAgPhweXISIiapHoA2t6ejoOHz6MxYsXt3re8OHD0adPH3h5eeHOnTv46quvMG3aNCQnJ6Nbt26t9h0xYkSLx4qKiuDp6flMtRPRi6VRp8P/Zmfjn+npsLWygrWVFRp1OqRkZuLtyEihyyMisliiDqzFxcWIjY3FoEGDMH369FbP/eSTTwz/7t+/PyIjIxEVFYXExEQsW7bMxJUS0YtO29iI//n5Z/yYk4MLeXmoa2hAZycnuMpkeKmhARqtFnbWon4kExGZjGifjiqVCrNmzYKrqysSEhJafdmqOV26dEG/fv2QlZX1xHNTU1NbPNba6CsR0UNXi4tRWFGB2vp61P22rWZFTQ0cbW1RUlkJWy76TkTUIlEG1rq6OsyZMwdqtRpJSUncgo6ILF5lbS0AwEoqhYONDWobGtCo0wESCRQuLq2uI01E9KIT3SoBWq0WH3zwAXJzc7F161YoFIpnuk5JSQkuXLhg2HuZiMiU/H/bdtPFwQEezs7oIpfDz90dA/z88DsfH4GrIyKybKIbYV2+fDlOnTqFuLg4VFVVISMjw3AsNDQUtra2mDFjBgoLC3H8+HEAQEpKCk6dOoVXXnkFXbp0wZ07d7B582ZYWVnh7bffFuhOiOhF4uniglGhofj3jRuoqK2FRqtFT4UCni4uGBkaKnR5REQWTXSB9ezZswCA1atXNzmWmpoKHx8f6HQ6NDY2Gtp9fHxw9+5dxMfHQ61Ww9nZGb///e/x/vvvP3GFACKijtLX1xdh3bqhQadDXX096rRadHF25nQAIqInEF1gPXny5BPP2bVrl9HnsLCwJm1EREKQSqWwk0phZ20NF6GLISISCdHNYSUiIiKiFwsDKxERERFZNAZWIiIiIrJoDKxEREREZNFE99IVEZHYVWk0uFJQgIbGRoR4esLdyUnokoiILBoDKxGRGVXW1GDHjz+ipr4eAPBTbi4m9uuHHu7uAldGRGS5OCWAiMiMLt6+bQirANCo0+FcdraAFRERWT4GViIiM6rSaJq0VT8SYImIqCkGViIiM+qpUDxVGxER/RcDKxGRGSm7dsWw4GA42tnBxsoK4d27Y0hgoNBlERFZNL50RUT0mIL79016/S7OzhjTp4/h850Wfp6p6yAiEgsGViKi38jlcti7uODLS5fadR2plRVkbm6ouX8fusbGdl3L3sUFcrm8XdcgIhI7BlYiot94eHjgq+3boVKp2nWd4uJibNu2De9/+CG6du3armvJ5XJ4eHi06xpERGLHwEpE9AgPD492B0Rr6wePVh8fH/j6+nZEWURELzS+dEVEREREFo2BlYiIiIgsGgMrEREREVk0BlYiIiIismgMrEREZqRSqVBaWip0GUREosJVAoiIzKCxsRHJycm4cuUK9Ho9vLy8MHXqVDg7OwtdGhGRxeMIKxGRGVy6dAmXL1+GXq8HABQWFuL48eMCV0VEJA4MrEREZnD79u0mbXl5eQJUQkQkPgysRERmoFAomrS1dxcsIqIXBQMrEZEZ9O/fHz4+PobPTk5OGDFihIAVERGJB1+6IiIyEa1Wi59++gm3b99G165dER0djZKSEmg0Gvj7+8PGxkboEomIRIGBlYjIRI4cOYKysjIAwC+//IKrV69i3LhxSE9Px5kzZxAUFITIyEhYW/NRTETUGj4liYhMQKPRIDs7G66uroa2W7du4bPPPoODgwMAID8/HxUVFRg3bpxAVRIRiQPnsBIRmYBOp2vSVlpaipqaGqO2zMxMaLVac5VFRCRKDKxERCbg4ODQZBUAJycnuLm5GbVJJBJzlkVEJEoMrEREJvLHP/4R4eHh6Ny5M0JDQ7Fw4cImO1v17duXc1iJiJ6AT0kiIhNxdHRsMj/1nXfewdmzZ1FRUYGgoCAMHDhQoOqIiMSDgZWIyIw6deqEsWPHCl0GEZGocEoAEREREVk0BlYiIiIismicEkBEZGKNjY1IS0tDVlYWHBwcMGTIEISEhAhdFhGRaHCElYjIxE6ePIkzZ86gvLwcBQUF2Lt3L/Lz84Uui4hINBhYiYhMLDMz0+izXq/H5cuXBaqGiEh8GFiJiEzMzs7uqdqIiKh5DKxERCYWGRlp9NnBwQF9+/YVqBoiIvHhS1dERCYWHh4OuVyOK1euwMHBAQMGDICrq6vQZRERiQYDKxGRGQQEBCAgIEDoMoiIRIlTAoiIiIjIojGwEhEREZFFY2AlIhJIYWEhSkpKhC6DiMjicQ4rEZGZVVVVYffu3SgqKgIA+Pr6Ytq0aVzqioioBRxhJSIys7S0NENYBYC8vDycO3dOwIqIiCwbR1iJiNqotLQUNTU1LR5/GEYfDaWPyszMREVFBWxsbODo6AgAKCgo6PhCiYieEwysRERtoFar8fHHH0Ov1z/x3K1btzbbfvv2bZSVlUEikWDUqFGws7ODl5dXR5dKRPTcYGAlImoDZ2dnxMfHtzrC+iRVVVU4cOAAVCoV7Ozs4O3tjcGDB3dglUREzxcGViKiNvLw8Gj3NUJDQ3Hnzh1YWVnB29u7A6oiInp+MbASEQlAIpGge/fuQpdBRCQKXCWAiIiIiCwaAysRERERWTRRBtacnBy8/fbbCAsLQ2RkJNasWYP6+von9tPr9di8eTNeffVV9OnTB5MnT0ZGRobpCyYiIiKiZya6wFpZWYkZM2agoaEBCQkJiI2Nxd69e7F69eon9t2yZQu++OILvPXWW9i0aRM8PDwwc+ZM3LlzxwyVExEREdGzEN1LV3v27EF1dTXWr18PV1dXAEBjYyOWL1+OOXPmQKFQNNtPo9Fg06ZNmDlzJt566y0AQL9+/fCHP/wBiYmJWLZsmXlugIiIiIjaRHQjrKdPn0ZERIQhrAJAVFQUdDodzp4922K/ixcvoqqqClFRUYY2W1tbjBw5EqdPnzZlyURERETUDqILrLm5ufD39zdqk8vl8PDwQG5ubqv9ADTpGxAQgMLCQtTV1XV8sURERETUbqKbEqBSqSCXy5u0u7i4oLKystV+tra2sLOzM2qXy+XQ6/WorKyEvb19s31HjBjRbPvdu3dRX18PKyurFs8hIiKi5nl6euKbb74RugwSAdGNsFoia2vR5X5RKSoqQlFRkdBl0HOG3ysyBX6viExDdElLLpdDrVY3aa+srISLi0ur/err66HRaIxGWVUqFSQSSat9U1NT21c0tcvD0Wv+f6COxO8VmQK/V0SmIboRVn9//yZzVdVqNUpLS5vMT328HwDcvHnTqD03NxdeXl4tTgcgIiIiImGJLrAOHToU586dg0qlMrQdPXoUUqkUkZGRLfbr27cvnJyccOTIEUNbQ0MD/vWvf2Ho0KEmrZmIiIiInp3opgRMmTIFu3btwrx58zBnzhyUlJRgzZo1mDJlitEarDNmzEBhYSGOHz8OALCzs8OcOXOQkJCATp06oWfPnvj2229RUVGBd955R6jbISIiIqInEF1gdXFxwY4dO7By5UrMmzcPjo6OmDhxImJjY43O0+l0aGxsNGqbNWsW9Ho9vv76a5SXlyMkJASJiYno1q2bOW+BiIiIiNpAotfr9UIXQdQavsRApsDvFZkCv1dEpiG6OaxERERE9GLhCCsRERERWTSOsBIRERGRRWNgJSIiIiKLxsBKRERERBaNgZWIiIiILBoDK5ndkSNHMHfuXAwdOhRhYWEYN24c9u3bh5be/ztx4gSUSiXGjBlj1H7gwAEolUqUl5ebo2yycAkJCVAqlVAqlQgODka/fv0wduxYrFixAjk5OUKXRxbu4fcnOjq6ybFPP/0Uw4cPBwCcP38eSqUSly9fbtP1n7bfiRMnsHv37jZdm+hFILqNA0j8tm/fDm9vb8TFxcHNzQ3nzp3DkiVLUFxcjPnz5xudW1dXh/j4eLi7uwtULYmJvb09duzYAQCorq7G9evXkZSUhL179+LTTz/FuHHjBK6QLF16ejrOnz+PQYMGNXv8pZdeQlJSEgICAkzy80+cOIErV640G5yJXmQMrGR2X375JTp16mT4HBERgYqKCmzbtg0xMTGQSv878L9p0yZ4eXnBx8cHV65cEaJcEhGpVIqwsDDD58jISEybNg2zZ8/GX//6V/Tt25c721GLZDIZAgMDsXHjxhYDq5OTk9F3jIjMg1MCyOweDasPhYSEoKqqCjU1NYa227dvY9u2bfjkk09avV5xcTHeffddhIWFYdSoUUhOTu7okknE7OzssGTJEjQ0NOCf//wnACA5ORlTp07FwIEDMWDAALz55pvIzMw09Ll27RqUSiXOnj1rdK3Gxka8/PLLWLNmjVnvgcwnJiYGP/30Ey5evNjs8eb+tK9Wq7Fo0SKEh4cjIiICn332Gb7++msolcom/VUqFRYuXIjw8HAMGzYMW7ZsMRyLi4vDwYMHcePGDcP0lri4uI6/SSIRYmAli3DhwgUoFAo4OTkZ2h7+CTc4OLjVvosWLcKQIUOwYcMGhISEIC4ujnMWyUhgYCAUCgUuXboEAMjPz8f48ePx+eefY+3atfD09ER0dDRu3rwJAFAqlfjd736H/fv3G13nzJkzuHv3Lt544w2z3wOZx7BhwxAaGooNGzY8dZ+PPvoIaWlp+PDDD7F69Wrk5ORg586dzZ67dOlS+Pn5YcOGDRg2bBjWrl2L06dPA3gQll955RV069YNSUlJSEpKQkxMTIfcF5HYcUoACS49PR2HDx/G4sWLDW0nT57EpUuXcPTo0Sf2j46ONsz3Cg8Px7///W8cO3aMD3oy4unpibKyMgAwmiut0+kQGRmJzMxMHDx4EH/+858BAJMmTcLKlStRWVkJFxcXAMD+/fsRHh5usvmLZBnmzp2LBQsWIDMzE3369Gn13OzsbBw/fhx///vfMX78eADAyy+/jKioqGbPHzVqFBYsWADgwXSotLQ0HDt2DEOHDkX37t3RqVMnFBYWctoB0WM4wkqCKi4uRmxsLAYNGoTp06cDADQaDeLj47FgwYJmpw88bsiQIYZ/y2QyeHl5obi42GQ1kzjp9XpIJBIAQE5ODubNm4fBgwcjJCQEL730Em7evIlbt24Zzh89ejSsra2RkpICACgvL8epU6cwceJEIconMxo5ciR69uz5VKOsD6cGjBgxwtAmlUoxbNiwZs9/9HklkUgQEBDA5xXRU2BgJcGoVCrMmjULrq6uSEhIMLxstWPHDkilUowePRoqlQoqlQoNDQ3Q6XRQqVSor683uo6zs7PRZxsbmybnEBUXF8Pd3R1VVVWYOXMmCgsLERcXh927d2Pfvn0IDg6GRqMxnC+TyTBmzBjs27cPAPDdd9/BxsamxZEzen5IJBK89957SEtLQ1ZWVqvnlpaWwsbGpslzqKVftvm8Ino2nBJAgqirq8OcOXOgVquRlJRk9BDPzc1FXl4eIiIimvQbMGAAli1bhqlTp5qzXBK5GzduoKSkBBMmTEBGRgaKi4uxadMmo/nRarUaXbt2Neo3adIkJCUl4erVqzhw4ACioqLg6Oho7vJJAFFRUUhISMDGjRvh5eXV4nkeHh5oaGiAWq02eo5xfWiijsXASman1WrxwQcfIDc3F7t374ZCoTA6PmvWLEyYMMGobfPmzbh58yb+9re/wc/Pz4zVkthpNBqsXLkStra2mDRpEq5evQrgwcjWQxcvXkRBQQGCgoKM+vbu3RshISFYtWoVrl27hqVLl5q1dhKOVCrFe++9h7i4OAwcOLDF83r16gUASE1NNcxh1el0OHXq1DP9XBsbG6ORfiJ6gIGVzG758uU4deoU4uLiUFVVhYyMDMOx0NBQBAQENHmp5eDBgygpKWlxbUQi4EFQePh9qqmpMWwccOfOHaxevRo+Pj6wt7eHTCbD8uXLMXv2bJSUlCAhIaHJL04PTZo0CStWrECPHj3Qr18/M94NCW3s2LHYsGEDzp8/D29v72bPCQoKwsiRI7Fq1SrU1tbCy8sLe/fuRV1dnWHOdFsEBARg//79SElJga+vL9zc3ODj49PeWyESPQZWMruHa1uuXr26ybHU1FQ+nOmZ1dXVYfLkyQAezEH18fFBREQE1q9fb/glyN3dHZ9//jnWrFmDmJgY+Pn5Yfny5di6dWuz1xw5ciRWrFjBpaxeQFZWVpg9e/YT14KOj4/HihUrsGbNGtja2mLChAkICgp6pi1WJ06ciMzMTKxcuRIVFRWYMGFCs89KoheNRN/SBu5ERIR9+/Zh6dKlSEtLg4eHh9DlkEhER0dDKpVi165dQpdC9FzgCCsRUTPy8/ORl5eHjRs3IioqimGVWnTs2DEUFRWhZ8+eqK2tRUpKCtLT09u0+QARtY6BlYioGevXr0dKSgrCw8O5PSa1SiaT4dChQ7h16xYaGhrg7++Pf/zjH3jttdeELo3oucEpAURERERk0bhxABERERFZNAZWIiIiIrJoDKxEREREZNEYWImIiIjIojGwEhEREZFFY2AlIiIiIovGwEpEREREFo2BlYiIiIgsGgMrEREREVm0/weakB25hAQqigAAAABJRU5ErkJggg==",
|
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"text/plain": [
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"<Figure size 700x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"#PLOT\n",
|
|
"\n",
|
|
"# 1. PREPARE DATA & CALCULATE STATS\n",
|
|
"combined = pd.merge(baseline_stats, stim_stats, on='Fly_Label')\n",
|
|
"\n",
|
|
"# Calculate the paired statistics for the brackets\n",
|
|
"p_values = {}\n",
|
|
"metrics = {\n",
|
|
" '24h': ('Base_Sleep_24h', 'Stim_Sleep_24h'),\n",
|
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" 'Day': ('Base_Day_12h', 'Stim_Day_12h'),\n",
|
|
" 'Night': ('Base_Night_12h', 'Stim_Night_12h')\n",
|
|
"}\n",
|
|
"\n",
|
|
"for phase, (base_col, stim_col) in metrics.items():\n",
|
|
" diffs = combined[stim_col] - combined[base_col]\n",
|
|
" _, p_shapiro = shapiro(diffs)\n",
|
|
" \n",
|
|
" if p_shapiro > 0.05:\n",
|
|
" _, p_val = ttest_rel(combined[base_col], combined[stim_col])\n",
|
|
" else:\n",
|
|
" _, p_val = wilcoxon(combined[base_col], combined[stim_col])\n",
|
|
" p_values[phase] = p_val\n",
|
|
"\n",
|
|
"plot_df = combined.melt(id_vars=['Fly_Label'], var_name='Variable', value_name='Hours')\n",
|
|
"plot_df['Condition'] = plot_df['Variable'].apply(lambda x: '24h' if '24h' in x else ('Day' if 'Day' in x else 'Night'))\n",
|
|
"plot_df['State'] = plot_df['Variable'].apply(lambda x: 'Baseline' if 'Base' in x else 'Stimulus')\n",
|
|
"\n",
|
|
"# 2. GENERATE PLOT\n",
|
|
"plt.figure(figsize=(7, 6))\n",
|
|
"sns.set_theme(style=\"ticks\")\n",
|
|
"\n",
|
|
"order = ['24h', 'Day', 'Night']\n",
|
|
"hue_order = ['Baseline', 'Stimulus']\n",
|
|
"palette = {'Baseline': '#cccccc', 'Stimulus': '#ff4c4c'}\n",
|
|
"\n",
|
|
"# Boxplot \n",
|
|
"sns.boxplot(\n",
|
|
" data=plot_df, x='Condition', y='Hours', hue='State', \n",
|
|
" order=order, hue_order=hue_order, palette=palette,\n",
|
|
" width=0.6, gap=0.2, boxprops={'edgecolor': 'black', 'alpha': 0.7},\n",
|
|
" medianprops={'color': 'black', 'linewidth': 1}, showfliers=False\n",
|
|
")\n",
|
|
"\n",
|
|
"# Stripplot\n",
|
|
"sns.stripplot(\n",
|
|
" data=plot_df, x='Condition', y='Hours', hue='State', \n",
|
|
" order=order, hue_order=hue_order, dodge=True,\n",
|
|
" palette=['black', 'black'], alpha=0.5, size=4, jitter=0.05,\n",
|
|
" legend=False\n",
|
|
")\n",
|
|
"\n",
|
|
"# 3. ADD MEDIAN LABELS\n",
|
|
"ax = plt.gca()\n",
|
|
"medians = plot_df.groupby(['Condition', 'State'], sort=False)['Hours'].median()\n",
|
|
"\n",
|
|
"# Offsets remain exactly as provided\n",
|
|
"offsets = {'Baseline': -0.4, 'Stimulus': 0.4}\n",
|
|
"\n",
|
|
"for i, cond in enumerate(order):\n",
|
|
" for state in hue_order:\n",
|
|
" val = medians[(cond, state)]\n",
|
|
" ax.text(i + offsets[state], val, f\"{val:.1f}h\", \n",
|
|
" ha='center', va='bottom', fontsize=10)\n",
|
|
"\n",
|
|
"# 4. ADD SIGNIFICANCE BRACKETS\n",
|
|
"y_max = plot_df['Hours'].max()\n",
|
|
"y_line = y_max + 1.0 \n",
|
|
"h = 0.4 \n",
|
|
"\n",
|
|
"for i, cond in enumerate(order):\n",
|
|
" p = p_values[cond]\n",
|
|
" \n",
|
|
" if p < 0.0001: star = '****'\n",
|
|
" elif p < 0.001: star = '***'\n",
|
|
" elif p < 0.01: star = '**'\n",
|
|
" elif p < 0.05: star = '*'\n",
|
|
" else: star = 'ns'\n",
|
|
" \n",
|
|
" x1, x2 = i - 0.2, i + 0.2\n",
|
|
" plt.plot([x1, x1, x2, x2], [y_line, y_line+h, y_line+h, y_line], lw=1.5, c='k')\n",
|
|
" plt.text((x1+x2)*.5, y_line+h, star, ha='center', va='bottom', fontsize=12)\n",
|
|
"\n",
|
|
"# 5. FORMATTING\n",
|
|
"sns.despine()\n",
|
|
"plt.ylabel('Average time spent asleep (hours)', fontsize=12)\n",
|
|
"plt.xlabel('')\n",
|
|
"plt.xlim(-0.6, 2.5) \n",
|
|
"\n",
|
|
"plt.ylim(0, max(20, y_line + h + 1.5)) \n",
|
|
"\n",
|
|
"# Legend moved completely outside the plot to the right\n",
|
|
"plt.legend(title='', frameon=False, loc='center left', bbox_to_anchor=(1, 0.5))\n",
|
|
"plt.tight_layout()\n",
|
|
"\n",
|
|
"plt.savefig(\"Phase6(60D)_Baseline_vs_Stimulus.png\", dpi=600, bbox_inches='tight')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 36,
|
|
"id": "3d0190d5-7aad-4235-88cb-3705da502383",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"--- Delta Sleep (Stimulus - Baseline) per Fly ---\n",
|
|
" Fly_Label Delta_24h Delta_Day Delta_Night\n",
|
|
"ETHOSCOPE_130 - Fly 01 -2.034259 -3.005202 0.431481\n",
|
|
"ETHOSCOPE_130 - Fly 02 1.303704 0.435762 0.480556\n",
|
|
"ETHOSCOPE_130 - Fly 03 0.051852 -0.856405 0.220370\n",
|
|
"ETHOSCOPE_130 - Fly 04 -2.985185 -2.624229 -0.942593\n",
|
|
"ETHOSCOPE_130 - Fly 05 -2.373148 -2.058250 -0.850000\n",
|
|
"ETHOSCOPE_130 - Fly 06 -5.553704 -3.808288 -2.236111\n",
|
|
"ETHOSCOPE_130 - Fly 07 -5.572222 -2.104976 -3.989815\n",
|
|
"ETHOSCOPE_130 - Fly 08 -0.175000 -0.400761 -0.297222\n",
|
|
"ETHOSCOPE_130 - Fly 09 1.294444 -0.354538 1.134259\n",
|
|
"ETHOSCOPE_130 - Fly 10 -6.884259 -2.988246 -4.329630\n",
|
|
"ETHOSCOPE_130 - Fly 11 1.860185 0.381617 0.992593\n",
|
|
"ETHOSCOPE_130 - Fly 12 -3.305556 -3.291218 -0.458333\n",
|
|
"ETHOSCOPE_130 - Fly 13 0.887037 -1.153159 1.689815\n",
|
|
"ETHOSCOPE_130 - Fly 14 -3.274074 -2.903631 -0.702778\n",
|
|
"ETHOSCOPE_130 - Fly 15 -1.318519 -1.164498 -0.461111\n",
|
|
"ETHOSCOPE_130 - Fly 16 -1.518519 -0.314935 -1.620370\n",
|
|
"ETHOSCOPE_130 - Fly 17 1.590741 0.706277 0.267593\n",
|
|
"ETHOSCOPE_130 - Fly 18 -2.358333 -3.118779 0.369444\n",
|
|
"ETHOSCOPE_130 - Fly 19 -2.207407 -1.128994 -1.518519\n",
|
|
"ETHOSCOPE_130 - Fly 20 -1.007407 -1.618949 0.215741\n",
|
|
"\n",
|
|
"==================================================\n",
|
|
"\n",
|
|
"--- Average Change (Delta) across all flies ---\n",
|
|
"Delta_24h: -1.68 ± 0.56 hours\n",
|
|
"Delta_Day: -1.57 ± 0.31 hours\n",
|
|
"Delta_Night: -0.58 ± 0.35 hours\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"#DELTA\n",
|
|
"\n",
|
|
"# 1. Ensure we have the merged paired data\n",
|
|
"combined = pd.merge(baseline_stats, stim_stats, on='Fly_Label')\n",
|
|
"\n",
|
|
"# 2. Calculate the Delta (Stimulus - Baseline) for each fly\n",
|
|
"combined['Delta_24h'] = combined['Stim_Sleep_24h'] - combined['Base_Sleep_24h']\n",
|
|
"combined['Delta_Day'] = combined['Stim_Day_12h'] - combined['Base_Day_12h']\n",
|
|
"combined['Delta_Night'] = combined['Stim_Night_12h'] - combined['Base_Night_12h']\n",
|
|
"\n",
|
|
"# 3. Print the Delta for each individual fly\n",
|
|
"print(\"--- Delta Sleep (Stimulus - Baseline) per Fly ---\")\n",
|
|
"delta_table = combined[['Fly_Label', 'Delta_24h', 'Delta_Day', 'Delta_Night']]\n",
|
|
"print(delta_table.to_string(index=False))\n",
|
|
"print(\"\\n\" + \"=\"*50 + \"\\n\")\n",
|
|
"\n",
|
|
"# 4. Calculate and print the group averages\n",
|
|
"print(\"--- Average Change (Delta) across all flies ---\")\n",
|
|
"avg_delta = delta_table[['Delta_24h', 'Delta_Day', 'Delta_Night']].mean()\n",
|
|
"sem_delta = delta_table[['Delta_24h', 'Delta_Day', 'Delta_Night']].sem()\n",
|
|
"\n",
|
|
"for metric in ['Delta_24h', 'Delta_Day', 'Delta_Night']:\n",
|
|
" print(f\"{metric}: {avg_delta[metric]:.2f} ± {sem_delta[metric]:.2f} hours\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 45,
|
|
"id": "c2f2caff-7071-4a8b-afa4-fecc065c588e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"#export to csv\n",
|
|
"delta_table['Condition'] = 'Red'\n",
|
|
"delta_table.to_csv('delta_60D_phase6.csv', index=False)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.12.3"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|