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timendum/italy-2023.ipynb Secret

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italy-2023.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "ac99362b-a0d9-4a31-9b7f-92c0585f81a1",
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"\n",
"import datetime\n",
"import sqlite3\n",
"from collections import defaultdict\n",
"\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"matplotlib.style.use(\"fivethirtyeight\")\n",
"\n",
"plt.rcParams[\"figure.figsize\"] = (15, 10)\n",
"\n",
"from IPython.display import Markdown, display\n",
"\n",
"conn = sqlite3.connect(\"italy.db\")\n",
"\n",
"TFORMATTER = matplotlib.ticker.StrMethodFormatter(\"{x:,.0f}\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "2ccd1d2b-ba24-498e-ae9e-ca1386782985",
"metadata": {},
"outputs": [],
"source": [
"submissions = pd.read_sql_query(\n",
" \"select * from submissions where created_utc < 1694296800 and created_utc > 1662760800 and removed != 1 order by created_utc\",\n",
" conn,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "7edffb87-0345-4476-98e9-a4a933492b48",
"metadata": {},
"outputs": [],
"source": [
"# Funzione per generare Markdown tabelle di post da DataFrame\n",
"def re_table(d, l, t=None, filter=lambda x: False):\n",
" t = t or l.capitalize()\n",
" s = f\"|{t}|Post|Autore|\\n\"\n",
" s += \"|:-:|:--|:--|\\n\"\n",
" for i, r in d.iterrows():\n",
" if filter(r):\n",
" continue\n",
" s += f\"| {TFORMATTER.format_data(r[l])} | [{r['title']}](https://www.reddit.com{r['permalink']}) | u/{r['author']} |\\n\"\n",
" display(Markdown(s))\n",
" return s"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "e9a838cd-0360-4f68-8be7-da641cdfede5",
"metadata": {},
"outputs": [],
"source": [
"# Funzione per generare Markdown tabelle di commenti da DataFrame\n",
"def ce_table(d, l, t=None, filter=lambda x: False):\n",
" t = t or l.capitalize()\n",
" s = f\"|{t}|Commento|Autore|\\n\"\n",
" s += \"|:-:|:--|:--|\\n\"\n",
" for i, r in d.iterrows():\n",
" if filter(r):\n",
" continue\n",
" body = r[\"body\"].replace(\"\\\\n\", \" \").replace(\"\\n\", \" \")\n",
" s += f\"| {TFORMATTER.format_data(r[l])} | [{body}](https://www.reddit.com/r/italy/comments/{r['submission_id']}/_/{r['id']}/) | u/{r['author']} |\\n\"\n",
" display(Markdown(s))\n",
" return s"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "ff1d6bec-a698-4d5b-bdf7-871e7babc4ee",
"metadata": {},
"outputs": [],
"source": [
"# Funzione per trovare i quanti raggiungono o superano le \"soglie\" fornite\n",
"def pmore_than(df, field_name, targs):\n",
" s = f\"|{field_name}| Num | Perc| Perc |\\n\"\n",
" s += \"|--:|--:|--:|--:|\\n\"\n",
" l = len(df)\n",
" for targ in targs:\n",
" n = len(df.query(f\"{field_name} >= {targ}\"))\n",
" s += f\"| {TFORMATTER.format_data(targ)} | {TFORMATTER.format_data(n)} | {n/l:.0%} | {(1-n/l):.0%} |\\n\"\n",
" display(Markdown(s))\n",
" return s"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "79a79388-180e-4339-9623-37aa598cb0fe",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/r/italy/comments/xae8u3/caffè_italia_100922/\n",
"/r/italy/comments/16eevmj/un_vino_da_due_euro_viene_travasato_in_unaltra/\n",
"over_18 10\n",
"Commenti 629850 224.92307692307693\n"
]
}
],
"source": [
"# Primo e ultimo post\n",
"print(submissions.iloc[0].permalink)\n",
"print(submissions.iloc[-1].permalink)\n",
"print(\"over_18\", len(submissions.domain[submissions.over_18 != False]))\n",
"print(\n",
" \"Commenti\",\n",
" submissions[\"score\"].sum(),\n",
" submissions[\"num_comments\"].sum() / len(submissions[\"score\"]),\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "3620b496-4f71-415a-9eef-ab6e52db1575",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>upvote_ratio</th>\n",
" <th>created_utc</th>\n",
" <th>num_comments</th>\n",
" <th>over_18</th>\n",
" <th>removed</th>\n",
" <th>locked</th>\n",
" <th>last_update</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>4147.000000</td>\n",
" <td>4147.000000</td>\n",
" <td>4.147000e+03</td>\n",
" <td>4147.000000</td>\n",
" <td>4147.000000</td>\n",
" <td>4147.0</td>\n",
" <td>4147.000000</td>\n",
" <td>4.147000e+03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>151.880878</td>\n",
" <td>0.837757</td>\n",
" <td>1.678076e+09</td>\n",
" <td>224.923077</td>\n",
" <td>0.002411</td>\n",
" <td>0.0</td>\n",
" <td>0.004099</td>\n",
" <td>1.690146e+09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>212.906515</td>\n",
" <td>0.158276</td>\n",
" <td>9.191681e+06</td>\n",
" <td>393.508061</td>\n",
" <td>0.049052</td>\n",
" <td>0.0</td>\n",
" <td>0.063902</td>\n",
" <td>4.517565e+06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>1.662779e+09</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>1.682286e+09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>22.000000</td>\n",
" <td>0.780000</td>\n",
" <td>1.669807e+09</td>\n",
" <td>46.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>1.686087e+09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>84.000000</td>\n",
" <td>0.900000</td>\n",
" <td>1.677904e+09</td>\n",
" <td>104.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>1.690407e+09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>199.000000</td>\n",
" <td>0.950000</td>\n",
" <td>1.685993e+09</td>\n",
" <td>226.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>1.694122e+09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>3210.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.694289e+09</td>\n",
" <td>8063.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.0</td>\n",
" <td>1.000000</td>\n",
" <td>1.697578e+09</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" score upvote_ratio created_utc num_comments over_18 \\\n",
"count 4147.000000 4147.000000 4.147000e+03 4147.000000 4147.000000 \n",
"mean 151.880878 0.837757 1.678076e+09 224.923077 0.002411 \n",
"std 212.906515 0.158276 9.191681e+06 393.508061 0.049052 \n",
"min 0.000000 0.020000 1.662779e+09 0.000000 0.000000 \n",
"25% 22.000000 0.780000 1.669807e+09 46.000000 0.000000 \n",
"50% 84.000000 0.900000 1.677904e+09 104.000000 0.000000 \n",
"75% 199.000000 0.950000 1.685993e+09 226.000000 0.000000 \n",
"max 3210.000000 1.000000 1.694289e+09 8063.000000 1.000000 \n",
"\n",
" removed locked last_update \n",
"count 4147.0 4147.000000 4.147000e+03 \n",
"mean 0.0 0.004099 1.690146e+09 \n",
"std 0.0 0.063902 4.517565e+06 \n",
"min 0.0 0.000000 1.682286e+09 \n",
"25% 0.0 0.000000 1.686087e+09 \n",
"50% 0.0 0.000000 1.690407e+09 \n",
"75% 0.0 0.000000 1.694122e+09 \n",
"max 0.0 1.000000 1.697578e+09 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"|score| Num | Perc| Perc |\n",
"|--:|--:|--:|--:|\n",
"| 10 | 3,544 | 85% | 15% |\n",
"| 22 | 3,126 | 75% | 25% |\n",
"| 50 | 2,573 | 62% | 38% |\n",
"| 84 | 2,074 | 50% | 50% |\n",
"| 100 | 1,889 | 46% | 54% |\n",
"| 200 | 1,036 | 25% | 75% |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"'|score| Num | Perc| Perc |\\n|--:|--:|--:|--:|\\n| 10 | 3,544 | 85% | 15% |\\n| 22 | 3,126 | 75% | 25% |\\n| 50 | 2,573 | 62% | 38% |\\n| 84 | 2,074 | 50% | 50% |\\n| 100 | 1,889 | 46% | 54% |\\n| 200 | 1,036 | 25% | 75% |\\n'"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Karma medio dei post\n",
"display(submissions.describe())\n",
"pmore_than(submissions, \"score\", [10, 22, 50, 84, 100, 200])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "b117fc92-86df-4aeb-a19a-a64e3900279e",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
"text/markdown": [
"|Punteggio|Post|Autore|\n",
"|:-:|:--|:--|\n",
"| 3,210 | [This went up near our Airbnb in Rome. Can anyone explain?](https://www.reddit.com/r/italy/comments/xj4wgm/this_went_up_near_our_airbnb_in_rome_can_anyone/) | u/Hell_Rey99 |\n",
"| 2,715 | [Sareste contro la possibilità di guadagnare segnalando auto che bloccano marciapiedi e piste ciclabili?](https://www.reddit.com/r/italy/comments/xsr7bh/sareste_contro_la_possibilità_di_guadagnare/) | u/hondufitta |\n",
"| 2,506 | [Zerocalcare e i virgolettati inventati che gli sono stati attribuiti dai giornalisti italiani](https://www.reddit.com/r/italy/comments/y7yf35/zerocalcare_e_i_virgolettati_inventati_che_gli/) | u/PreviouslyMannara |\n",
"| 2,338 | [Il social manager del corriere ha avuto una mattinata difficile: Il nome prima di ogni tweet è l'account dal quale sarebbe dovuto partire il tweet stesso.](https://www.reddit.com/r/italy/comments/13ejrkc/il_social_manager_del_corriere_ha_avuto_una/) | u/kinski80 |\n",
"| 2,308 | [Ciao! I'm an Australian artist currently living in beautiful Lecce. Here are my first four oil paintings of the amazing Baroque architecture here. I hope you like them 😊](https://www.reddit.com/r/italy/comments/xhdxzm/ciao_im_an_australian_artist_currently_living_in/) | u/hazzlaw |\n",
"| 1,857 | [Arrestato il boss superlatitante Matteo Messina Denaro. Era ricercato da 30 anni](https://www.reddit.com/r/italy/comments/10d9ehx/arrestato_il_boss_superlatitante_matteo_messina/) | u/Ilnormanno |\n",
"| 1,791 | [First time in Rome and my hotel have this. Was that for the feet?](https://www.reddit.com/r/italy/comments/xgwnuc/first_time_in_rome_and_my_hotel_have_this_was/) | u/26fm65 |\n",
"| 1,752 | [Nuova direttiva europea sulla trasparenza salariale: salario nell’annuncio o prima del primo colloquio, divieto di chiedere la storia salariale ai candidati, obbligo di fornire ai lavoratori il dato sul salario medio della loro posizione](https://www.reddit.com/r/italy/comments/11zdnsd/nuova_direttiva_europea_sulla_trasparenza/) | u/DurangoGango |\n",
"| 1,705 | [Attraverso calcoli complessi, u/DrLimp dimostrò il motivo per il quale alcune persone preferiscono il pandoro nonostante l'ovvia superiorità del Panettone.](https://www.reddit.com/r/italy/comments/ykd84w/attraverso_calcoli_complessi_udrlimp_dimostrò_il/) | u/nicosemp |\n",
"| 1,703 | [Il 25 Aprile non è divisivo. Il 25 Aprile è la festa della Libertà contro ogni forma di repressione dittatoriale e antidemocratica.](https://www.reddit.com/r/italy/comments/12ydoku/il_25_aprile_non_è_divisivo_il_25_aprile_è_la/) | u/Lilac_Spring |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"\"|Punteggio|Post|Autore|\\n|:-:|:--|:--|\\n| 3,210 | [This went up near our Airbnb in Rome. Can anyone explain?](https://www.reddit.com/r/italy/comments/xj4wgm/this_went_up_near_our_airbnb_in_rome_can_anyone/) | u/Hell_Rey99 |\\n| 2,715 | [Sareste contro la possibilità di guadagnare segnalando auto che bloccano marciapiedi e piste ciclabili?](https://www.reddit.com/r/italy/comments/xsr7bh/sareste_contro_la_possibilità_di_guadagnare/) | u/hondufitta |\\n| 2,506 | [Zerocalcare e i virgolettati inventati che gli sono stati attribuiti dai giornalisti italiani](https://www.reddit.com/r/italy/comments/y7yf35/zerocalcare_e_i_virgolettati_inventati_che_gli/) | u/PreviouslyMannara |\\n| 2,338 | [Il social manager del corriere ha avuto una mattinata difficile: Il nome prima di ogni tweet è l'account dal quale sarebbe dovuto partire il tweet stesso.](https://www.reddit.com/r/italy/comments/13ejrkc/il_social_manager_del_corriere_ha_avuto_una/) | u/kinski80 |\\n| 2,308 | [Ciao! I'm an Australian artist currently living in beautiful Lecce. Here are my first four oil paintings of the amazing Baroque architecture here. I hope you like them 😊](https://www.reddit.com/r/italy/comments/xhdxzm/ciao_im_an_australian_artist_currently_living_in/) | u/hazzlaw |\\n| 1,857 | [Arrestato il boss superlatitante Matteo Messina Denaro. Era ricercato da 30 anni](https://www.reddit.com/r/italy/comments/10d9ehx/arrestato_il_boss_superlatitante_matteo_messina/) | u/Ilnormanno |\\n| 1,791 | [First time in Rome and my hotel have this. Was that for the feet?](https://www.reddit.com/r/italy/comments/xgwnuc/first_time_in_rome_and_my_hotel_have_this_was/) | u/26fm65 |\\n| 1,752 | [Nuova direttiva europea sulla trasparenza salariale: salario nell’annuncio o prima del primo colloquio, divieto di chiedere la storia salariale ai candidati, obbligo di fornire ai lavoratori il dato sul salario medio della loro posizione](https://www.reddit.com/r/italy/comments/11zdnsd/nuova_direttiva_europea_sulla_trasparenza/) | u/DurangoGango |\\n| 1,705 | [Attraverso calcoli complessi, u/DrLimp dimostrò il motivo per il quale alcune persone preferiscono il pandoro nonostante l'ovvia superiorità del Panettone.](https://www.reddit.com/r/italy/comments/ykd84w/attraverso_calcoli_complessi_udrlimp_dimostrò_il/) | u/nicosemp |\\n| 1,703 | [Il 25 Aprile non è divisivo. Il 25 Aprile è la festa della Libertà contro ogni forma di repressione dittatoriale e antidemocratica.](https://www.reddit.com/r/italy/comments/12ydoku/il_25_aprile_non_è_divisivo_il_25_aprile_è_la/) | u/Lilac_Spring |\\n\""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Post con più karma\n",
"re_table(\n",
" submissions.sort_values(\"score\", ascending=False).head(10),\n",
" \"score\",\n",
" \"Punteggio\",\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "64a89618-ac66-40ef-9742-a418a5ef2eb1",
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"|Punteggio|Post|Autore|\n",
"|:-:|:--|:--|\n",
"| 413 | [Cookie wall dei vari siti di informazione italiani: il Garante privacy sta indagando sulle iniziative degli editori](https://www.reddit.com/r/italy/comments/y7ctnh/cookie_wall_dei_vari_siti_di_informazione/) | u/giuliomagnifico |\n",
"| 390 | [Antitrust sanziona Vodafone, Wind, Telecom e Fastweb - Per fatturazioni post recesso, multa da un milione totale](https://www.reddit.com/r/italy/comments/12aezyo/antitrust_sanziona_vodafone_wind_telecom_e/) | u/DurangoGango |\n",
"| 324 | [Vi ricordate il post sulle finte agenzie immobiliari? La situazione sta sfuggendo di mano e ora le finte agenzie stanno \"comprando\" le vere agenzie immobiliari. State attenti a SoloAffitti.](https://www.reddit.com/r/italy/comments/13ahkfe/vi_ricordate_il_post_sulle_finte_agenzie/) | u/YahyaJ |\n",
"| 275 | [Manovra: la ragioneria di stato ha chiesto lo stralciamento della norma che stanzia 450 milioni per i Comuni, sarebbe priva di copertura. Inoltre fa rilievi su 44 emendamenti che dovranno essere corretti in gran parte sempre per problemi di coperture](https://www.reddit.com/r/italy/comments/zst2xo/manovra_la_ragioneria_di_stato_ha_chiesto_lo/) | u/giuliomagnifico |\n",
"| 248 | [Bartolini e Geodis in amministrazione giudiziaria: accuse di sfruttamento della manodopera delle cooperative, frode contabile e fiscale, mazzette per il CEO Manti](https://www.reddit.com/r/italy/comments/123wkoe/bartolini_e_geodis_in_amministrazione_giudiziaria/) | u/DurangoGango |\n",
"| 217 | [Esondato il fiume Misa: si contano morti e dispersi](https://www.reddit.com/r/italy/comments/xfg55k/esondato_il_fiume_misa_si_contano_morti_e_dispersi/) | u/LaReineBlanche__ |\n",
"| 212 | [Editoria, il 30 per cento dei libri non vende nemmeno una copia](https://www.reddit.com/r/italy/comments/14n20qg/editoria_il_30_per_cento_dei_libri_non_vende/) | u/MicheleCaracas |\n",
"| 204 | [Il Tribunale dell'Unione Europea ha confermato una multa da oltre 4 miliardi di euro inflitta a Google per aver violato le regole sulla concorrenza](https://www.reddit.com/r/italy/comments/xe8ef9/il_tribunale_dellunione_europea_ha_confermato_una/) | u/Sunnyboy_18 |\n",
"| 182 | [Mondialpol, commissariata per caporalato e sfruttamento dei lavoratori, alza gli stipendi fino al 38% e la Procura revoca il commissariamento](https://www.reddit.com/r/italy/comments/15rwkgv/mondialpol_commissariata_per_caporalato_e/) | u/giuliomagnifico |\n",
"| 158 | [9 Maggio 1946: Vittorio Emanuele III abdica alla Corona del Regno d'Italia in favore del figlio Umberto e parte in esilio volontario per l'Egitto](https://www.reddit.com/r/italy/comments/13clv3p/9_maggio_1946_vittorio_emanuele_iii_abdica_alla/) | u/Cold-Voice5839 |\n",
"| 117 | [Dal 2015, la Sicilia ha rimandato 15 volte le elezioni per istituire le Città metropolitane: interviene direttamente la Corte costituzionale](https://www.reddit.com/r/italy/comments/14t4jrs/dal_2015_la_sicilia_ha_rimandato_15_volte_le/) | u/Mirieste |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"'|Punteggio|Post|Autore|\\n|:-:|:--|:--|\\n| 413 | [Cookie wall dei vari siti di informazione italiani: il Garante privacy sta indagando sulle iniziative degli editori](https://www.reddit.com/r/italy/comments/y7ctnh/cookie_wall_dei_vari_siti_di_informazione/) | u/giuliomagnifico |\\n| 390 | [Antitrust sanziona Vodafone, Wind, Telecom e Fastweb - Per fatturazioni post recesso, multa da un milione totale](https://www.reddit.com/r/italy/comments/12aezyo/antitrust_sanziona_vodafone_wind_telecom_e/) | u/DurangoGango |\\n| 324 | [Vi ricordate il post sulle finte agenzie immobiliari? La situazione sta sfuggendo di mano e ora le finte agenzie stanno \"comprando\" le vere agenzie immobiliari. State attenti a SoloAffitti.](https://www.reddit.com/r/italy/comments/13ahkfe/vi_ricordate_il_post_sulle_finte_agenzie/) | u/YahyaJ |\\n| 275 | [Manovra: la ragioneria di stato ha chiesto lo stralciamento della norma che stanzia 450 milioni per i Comuni, sarebbe priva di copertura. Inoltre fa rilievi su 44 emendamenti che dovranno essere corretti in gran parte sempre per problemi di coperture](https://www.reddit.com/r/italy/comments/zst2xo/manovra_la_ragioneria_di_stato_ha_chiesto_lo/) | u/giuliomagnifico |\\n| 248 | [Bartolini e Geodis in amministrazione giudiziaria: accuse di sfruttamento della manodopera delle cooperative, frode contabile e fiscale, mazzette per il CEO Manti](https://www.reddit.com/r/italy/comments/123wkoe/bartolini_e_geodis_in_amministrazione_giudiziaria/) | u/DurangoGango |\\n| 217 | [Esondato il fiume Misa: si contano morti e dispersi](https://www.reddit.com/r/italy/comments/xfg55k/esondato_il_fiume_misa_si_contano_morti_e_dispersi/) | u/LaReineBlanche__ |\\n| 212 | [Editoria, il 30 per cento dei libri non vende nemmeno una copia](https://www.reddit.com/r/italy/comments/14n20qg/editoria_il_30_per_cento_dei_libri_non_vende/) | u/MicheleCaracas |\\n| 204 | [Il Tribunale dell\\'Unione Europea ha confermato una multa da oltre 4 miliardi di euro inflitta a Google per aver violato le regole sulla concorrenza](https://www.reddit.com/r/italy/comments/xe8ef9/il_tribunale_dellunione_europea_ha_confermato_una/) | u/Sunnyboy_18 |\\n| 182 | [Mondialpol, commissariata per caporalato e sfruttamento dei lavoratori, alza gli stipendi fino al 38% e la Procura revoca il commissariamento](https://www.reddit.com/r/italy/comments/15rwkgv/mondialpol_commissariata_per_caporalato_e/) | u/giuliomagnifico |\\n| 158 | [9 Maggio 1946: Vittorio Emanuele III abdica alla Corona del Regno d\\'Italia in favore del figlio Umberto e parte in esilio volontario per l\\'Egitto](https://www.reddit.com/r/italy/comments/13clv3p/9_maggio_1946_vittorio_emanuele_iii_abdica_alla/) | u/Cold-Voice5839 |\\n| 117 | [Dal 2015, la Sicilia ha rimandato 15 volte le elezioni per istituire le Città metropolitane: interviene direttamente la Corte costituzionale](https://www.reddit.com/r/italy/comments/14t4jrs/dal_2015_la_sicilia_ha_rimandato_15_volte_le/) | u/Mirieste |\\n'"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Post perfetti, con il 100% di upvoti e almeno 100 voti totali\n",
"t = (\n",
" submissions.query(\"`upvote_ratio` == 1\")\n",
" .query(\"`score` > 100\")\n",
" .sort_values(\"score\", ascending=False)\n",
")\n",
"re_table(t, \"score\", \"Punteggio\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "5d383977-cd92-432b-817d-b12763746161",
"metadata": {},
"outputs": [],
"source": [
"# Pivot sugli autori dei post\n",
"limit = 10\n",
"author = pd.read_sql_query(\n",
" \"select * from submissions where author <> '[deleted]' and created_utc < 1694296800 and created_utc > 1662760800 and removed != 1 and title not like 'Caff%'\",\n",
" conn,\n",
")\n",
"summauthor = pd.pivot_table(\n",
" author, index=[\"author\"], values=[\"score\"], aggfunc=[\"sum\", len]\n",
")\n",
"summauthor.columns = summauthor.columns.to_series().str.join(\"_\")\n",
"summauthor = summauthor.reset_index()\n",
"summauthor = summauthor.sort_values(\"len_score\", ascending=False)\n",
"summauthor.to_csv(\"users-posts.csv\", index=False)\n",
"del author"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "13c17228-0c8a-48e2-a5e7-1e9a2ceaaa26",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sum_score</th>\n",
" <th>len_score</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>1844.000000</td>\n",
" <td>1844.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>338.678959</td>\n",
" <td>2.075922</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>1323.082859</td>\n",
" <td>6.018662</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>34.000000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>107.000000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>291.500000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>41574.000000</td>\n",
" <td>153.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" sum_score len_score\n",
"count 1844.000000 1844.000000\n",
"mean 338.678959 2.075922\n",
"std 1323.082859 6.018662\n",
"min 0.000000 1.000000\n",
"25% 34.000000 1.000000\n",
"50% 107.000000 1.000000\n",
"75% 291.500000 1.000000\n",
"max 41574.000000 153.000000"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"|len_score| Num | Perc| Perc |\n",
"|--:|--:|--:|--:|\n",
"| 2 | 423 | 23% | 77% |\n",
"| 5 | 106 | 6% | 94% |\n",
"| 20 | 18 | 1% | 99% |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"'|len_score| Num | Perc| Perc |\\n|--:|--:|--:|--:|\\n| 2 | 423 | 23% | 77% |\\n| 5 | 106 | 6% | 94% |\\n| 20 | 18 | 1% | 99% |\\n'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"display(summauthor.describe())\n",
"pmore_than(summauthor, \"len_score\", [2, 5, 20])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "9f4303ee-0edb-4bfc-aa20-fdb0e1a2a1bf",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"(115014, 629850, 18.260538223386522, 698, 16.831444417651316)"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 1500x1000 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Grafico degli autori con più post\n",
"lsummauthor = summauthor.head(limit)\n",
"author_graph = lsummauthor.plot.scatter(y=\"sum_score\", x=\"len_score\", figsize=(15, 10))\n",
"dlabel = defaultdict(lambda: (1, 1))\n",
"dlabel[\"notizia\"] = (1, -1100)\n",
"dlabel[\"RedditItalyBot\"] = (-17.6, -20)\n",
"for i, txt in enumerate(lsummauthor.author):\n",
" author_graph.annotate(\n",
" txt,\n",
" (\n",
" lsummauthor.len_score.iat[i] + dlabel[txt][0],\n",
" lsummauthor.sum_score.iat[i] + dlabel[txt][1],\n",
" ),\n",
" )\n",
"author_graph.set_xlabel(\"Numero di post\")\n",
"author_graph.set_ylabel(\"Karma totale\")\n",
"author_graph.set_xlim(left=-1)\n",
"author_graph.set_ylim(bottom=-30)\n",
"author_graph.get_yaxis().set_major_formatter(TFORMATTER)\n",
"author_graph.axhline(y=0, color=\"black\", linewidth=5, alpha=0.7)\n",
"author_graph.axvline(x=0, color=\"black\", linewidth=1.3, alpha=0.7)\n",
"lsummauthor.sum_score.sum(), submissions.score.sum(), lsummauthor.sum_score.sum() / submissions.score.sum() * 100, lsummauthor.len_score.sum(), lsummauthor.len_score.sum() / len(\n",
" submissions\n",
") * 100"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "a90915df-1b30-4ee9-a5f7-66db60bac1fb",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>domain</th>\n",
" <th>sum_score</th>\n",
" <th>len_score</th>\n",
" <th>mean_score</th>\n",
" <th>perc_num</th>\n",
" <th>perc_kar</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>281</th>\n",
" <td>self.italy</td>\n",
" <td>207778</td>\n",
" <td>2415</td>\n",
" <td>86.036439</td>\n",
" <td>58.234869</td>\n",
" <td>32.988489</td>\n",
" </tr>\n",
" <tr>\n",
" <th>260</th>\n",
" <td>reddit.com</td>\n",
" <td>95589</td>\n",
" <td>179</td>\n",
" <td>534.016760</td>\n",
" <td>4.316373</td>\n",
" <td>15.176471</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143</th>\n",
" <td>ilpost.it</td>\n",
" <td>44656</td>\n",
" <td>243</td>\n",
" <td>183.769547</td>\n",
" <td>5.859658</td>\n",
" <td>7.089942</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>ansa.it</td>\n",
" <td>32743</td>\n",
" <td>156</td>\n",
" <td>209.891026</td>\n",
" <td>3.761755</td>\n",
" <td>5.198539</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>corriere.it</td>\n",
" <td>27719</td>\n",
" <td>119</td>\n",
" <td>232.932773</td>\n",
" <td>2.869544</td>\n",
" <td>4.400889</td>\n",
" </tr>\n",
" <tr>\n",
" <th>262</th>\n",
" <td>repubblica.it</td>\n",
" <td>23317</td>\n",
" <td>92</td>\n",
" <td>253.445652</td>\n",
" <td>2.218471</td>\n",
" <td>3.701993</td>\n",
" </tr>\n",
" <tr>\n",
" <th>257</th>\n",
" <td>rainews.it</td>\n",
" <td>17272</td>\n",
" <td>75</td>\n",
" <td>230.293333</td>\n",
" <td>1.808536</td>\n",
" <td>2.742240</td>\n",
" </tr>\n",
" <tr>\n",
" <th>147</th>\n",
" <td>ilsole24ore.com</td>\n",
" <td>13311</td>\n",
" <td>70</td>\n",
" <td>190.157143</td>\n",
" <td>1.687967</td>\n",
" <td>2.113360</td>\n",
" </tr>\n",
" <tr>\n",
" <th>236</th>\n",
" <td>open.online</td>\n",
" <td>7042</td>\n",
" <td>35</td>\n",
" <td>201.200000</td>\n",
" <td>0.843984</td>\n",
" <td>1.118044</td>\n",
" </tr>\n",
" <tr>\n",
" <th>177</th>\n",
" <td>lastampa.it</td>\n",
" <td>6650</td>\n",
" <td>15</td>\n",
" <td>443.333333</td>\n",
" <td>0.361707</td>\n",
" <td>1.055807</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" domain sum_score len_score mean_score perc_num perc_kar\n",
"281 self.italy 207778 2415 86.036439 58.234869 32.988489\n",
"260 reddit.com 95589 179 534.016760 4.316373 15.176471\n",
"143 ilpost.it 44656 243 183.769547 5.859658 7.089942\n",
"15 ansa.it 32743 156 209.891026 3.761755 5.198539\n",
"56 corriere.it 27719 119 232.932773 2.869544 4.400889\n",
"262 repubblica.it 23317 92 253.445652 2.218471 3.701993\n",
"257 rainews.it 17272 75 230.293333 1.808536 2.742240\n",
"147 ilsole24ore.com 13311 70 190.157143 1.687967 2.113360\n",
"236 open.online 7042 35 201.200000 0.843984 1.118044\n",
"177 lastampa.it 6650 15 443.333333 0.361707 1.055807"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Pivot sui domini\n",
"limit = 10\n",
"submissions_domain = submissions.copy(deep=True)\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" [\n",
" \".+\\.redd\\.it\",\n",
" \".+\\.redditmedia\\.com\",\n",
" \".+\\.reddit\\.com\",\n",
" ],\n",
" \"reddit.com\",\n",
" regex=True,\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" \"i.imgur.com\", \"imgur.com\"\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" r\".*\\.ilpost\\.it\", \"ilpost.it\", regex=True\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" r\".*\\.la7\\.it\", \"la7.it\", regex=True\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" [\"x.com\", \"pbs.twimg.com\", \"mobile.twitter.com\"], \"twitter.com\"\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" [\"amp.milanotoday.it\", \"palermotoday.it\", \"amp.today.it\", \"romatoday.it\"],\n",
" \"today.it\",\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" [\"youtu.be\", \"m.youtube.com\"], \"youtube.com\"\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" [\n",
" r\".*\\.mediaset\\.it\",\n",
" ],\n",
" \"mediaset.it\",\n",
" regex=True,\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" [\n",
" r\".*\\.wikipedia\\.org\",\n",
" r\".*\\.wikisource\\.org\",\n",
" r\".*\\.?wikimedia\\.org\",\n",
" ],\n",
" \"wikipedia.org\",\n",
" regex=True,\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" [\n",
" r\".+\\.repubblica\\.it\",\n",
" \"larep.it\",\n",
" r\".*repubblica-it.cdn.ampproject.org\",\n",
" ],\n",
" \"repubblica.it\",\n",
" regex=True,\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" [\n",
" r\".+\\.corriere\\.it\",\n",
" \"corrieredellosport.it\",\n",
" \"corrieredellacalabria.it\",\n",
" r\".*www-corriere-it\\.cdn\\.ampproject\\.org\",\n",
" ],\n",
" \"corriere.it\",\n",
" regex=True,\n",
")\n",
"submissions_domain[\"domain\"] = submissions_domain[\"domain\"].replace(\n",
" [\n",
" \".+\\.ilsole24ore\\.com\",\n",
" \"amp24-ilsole24ore-com.cdn.ampproject.org\",\n",
" ],\n",
" \"ilsole24ore.com\",\n",
")\n",
"summdomain = pd.pivot_table(\n",
" submissions_domain, index=[\"domain\"], values=[\"score\"], aggfunc=[\"sum\", len, \"mean\"]\n",
")\n",
"summdomain.columns = summdomain.columns.to_series().str.join(\"_\")\n",
"summdomain = summdomain.reset_index()\n",
"summdomain = summdomain.sort_values(\"sum_score\", ascending=False)\n",
"summdomain[\"perc_num\"] = summdomain[\"len_score\"] / summdomain.len_score.sum() * 100\n",
"summdomain[\"perc_kar\"] = summdomain[\"sum_score\"] / summdomain.sum_score.sum() * 100\n",
"summdomain.to_csv(\"domains.csv\", index=False)\n",
"display(summdomain.head(10))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "93b2dff7-9b0b-4271-ac2f-735c06e92338",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sum_score</th>\n",
" <th>len_score</th>\n",
" <th>mean_score</th>\n",
" <th>perc_num</th>\n",
" <th>perc_kar</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>344.000000</td>\n",
" <td>344.000000</td>\n",
" <td>344.000000</td>\n",
" <td>344.000000</td>\n",
" <td>344.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>1830.959302</td>\n",
" <td>12.055233</td>\n",
" <td>190.118722</td>\n",
" <td>0.290698</td>\n",
" <td>0.290698</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>12823.295028</td>\n",
" <td>131.572569</td>\n",
" <td>161.628528</td>\n",
" <td>3.172717</td>\n",
" <td>2.035928</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.024114</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>90.000000</td>\n",
" <td>1.000000</td>\n",
" <td>82.750000</td>\n",
" <td>0.024114</td>\n",
" <td>0.014289</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>195.000000</td>\n",
" <td>1.000000</td>\n",
" <td>154.400000</td>\n",
" <td>0.024114</td>\n",
" <td>0.030960</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>478.250000</td>\n",
" <td>2.000000</td>\n",
" <td>245.791667</td>\n",
" <td>0.048228</td>\n",
" <td>0.075931</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>207778.000000</td>\n",
" <td>2415.000000</td>\n",
" <td>1277.000000</td>\n",
" <td>58.234869</td>\n",
" <td>32.988489</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" sum_score len_score mean_score perc_num perc_kar\n",
"count 344.000000 344.000000 344.000000 344.000000 344.000000\n",
"mean 1830.959302 12.055233 190.118722 0.290698 0.290698\n",
"std 12823.295028 131.572569 161.628528 3.172717 2.035928\n",
"min 0.000000 1.000000 0.000000 0.024114 0.000000\n",
"25% 90.000000 1.000000 82.750000 0.024114 0.014289\n",
"50% 195.000000 1.000000 154.400000 0.024114 0.030960\n",
"75% 478.250000 2.000000 245.791667 0.048228 0.075931\n",
"max 207778.000000 2415.000000 1277.000000 58.234869 32.988489"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"|len_score| Num | Perc| Perc |\n",
"|--:|--:|--:|--:|\n",
"| 2 | 109 | 32% | 68% |\n",
"| 5 | 41 | 12% | 88% |\n",
"| 10 | 23 | 7% | 93% |\n",
"| 15 | 18 | 5% | 95% |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"'|len_score| Num | Perc| Perc |\\n|--:|--:|--:|--:|\\n| 2 | 109 | 32% | 68% |\\n| 5 | 41 | 12% | 88% |\\n| 10 | 23 | 7% | 93% |\\n| 15 | 18 | 5% | 95% |\\n'"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"display(summdomain.describe())\n",
"pmore_than(summdomain, \"len_score\", [2, 5, 10, 15])"
]
},
{
"cell_type": "code",
"execution_count": 75,
"id": "3e83756c-58db-47f3-ae63-19588754969b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.lines.Line2D at 0x1ada9555bd0>"
]
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 1500x1200 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LIMIT = 10\n",
"# Grafico con i post per domini\n",
"fig, ax1 = plt.subplots(figsize=(15, 12))\n",
"ticks = np.arange(LIMIT) # the label locations\n",
"width = 0.35 # the width of the bars\n",
"\n",
"ax2 = ax1.twinx()\n",
"\n",
"bar1 = ax1.bar(\n",
" ticks - width / 2,\n",
" summdomain.perc_num.to_list()[:LIMIT],\n",
" width,\n",
" color=\"red\",\n",
" label=\"% post verso il dominio\",\n",
")\n",
"bar2 = ax2.bar(\n",
" ticks + width / 2,\n",
" summdomain.perc_kar.to_list()[:LIMIT],\n",
" width,\n",
" label=\"% di karma verso il dominio\",\n",
")\n",
"ax2.grid(False)\n",
"ax1.set_xticks(ticks)\n",
"ax1.get_yaxis().set_major_formatter(matplotlib.ticker.PercentFormatter(decimals=0))\n",
"ax1.set_xticklabels(summdomain.domain.to_list()[:LIMIT], rotation=-44)\n",
"fig.legend(loc=\"upper right\", bbox_to_anchor=(1, 1), bbox_transform=ax2.transAxes)\n",
"ax1.set_ylabel(\"% post verso il dominio\")\n",
"ax2.get_yaxis().set_major_formatter(matplotlib.ticker.PercentFormatter(decimals=0))\n",
"ax2.set_ylabel(\"% di karma verso il dominio\")\n",
"yticks = np.linspace(\n",
" min(ax1.get_ybound()[0], ax2.get_ybound()[0]),\n",
" max(ax1.get_ybound()[1], ax2.get_ybound()[1]) - 1,\n",
" 6,\n",
")\n",
"ax1.set_yticks(yticks)\n",
"ax2.set_yticks(yticks)\n",
"bcmap = matplotlib.colormaps.get_cmap(\"viridis\")\n",
"cmap = matplotlib.colors.ListedColormap(bcmap(np.linspace(0.0, 0.60, 256)))\n",
"norm = plt.Normalize(0, max(summdomain[\"mean_score\"].to_list()[:10]))\n",
"for i in range(LIMIT):\n",
" ax2.text(\n",
" ticks[i] - width / 2,\n",
" max(summdomain[\"perc_kar\"].to_list()[i], summdomain[\"perc_num\"].to_list()[i])\n",
" + 0.5,\n",
" \"{:.0f}\".format(summdomain[\"mean_score\"].to_list()[i]),\n",
" color=cmap(norm(summdomain[\"mean_score\"].to_list()[i])),\n",
" weight=\"bold\",\n",
" )\n",
"fig.colorbar(\n",
" matplotlib.cm.ScalarMappable(norm=norm, cmap=cmap),\n",
" label=\"Karma medio\",\n",
" orientation=\"horizontal\",\n",
" pad=0.18,\n",
" aspect=60,\n",
" ax=ax1,\n",
")\n",
"ax1.axhline(y=0, color=\"black\", linewidth=5.1, alpha=0.7)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "6a6ea208-848f-4529-971e-07a71728dff9",
"metadata": {},
"outputs": [],
"source": [
"# Aggiungo a submissions colonna per giorno e ora\n",
"submissions_hour = submissions.copy(deep=True)\n",
"submissions_hour = submissions_hour[(submissions_hour.author != \"RedditItalyBot\")]\n",
"# TODO escludere caffè\n",
"submissions_hour[\"created_utc\"] = submissions_hour[\"created_utc\"].apply(\n",
" lambda x: x + 3600 if x > 1680220800 or x < 1698616800 else x\n",
")\n",
"submissions_hour[\"created_utc\"] = submissions_hour[\"created_utc\"].apply(\n",
" lambda x: x + 3600\n",
")\n",
"submissions_hour[\"day\"] = pd.to_datetime(submissions_hour.created_utc, unit=\"s\")\n",
"submissions_hour[\"hour\"] = submissions_hour.day.dt.strftime(\"%H\")\n",
"submissions_hour[\"dweek\"] = submissions_hour.day.dt.strftime(\"%u\")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "c069fca9-e10a-457c-af53-7a57b4a11e17",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>hour</th>\n",
" <th>sum_score</th>\n",
" <th>len_score</th>\n",
" <th>mean_score</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>00</td>\n",
" <td>7740</td>\n",
" <td>74</td>\n",
" <td>104.594595</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>01</td>\n",
" <td>5302</td>\n",
" <td>52</td>\n",
" <td>101.961538</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>02</td>\n",
" <td>4823</td>\n",
" <td>32</td>\n",
" <td>150.718750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>03</td>\n",
" <td>1162</td>\n",
" <td>13</td>\n",
" <td>89.384615</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>04</td>\n",
" <td>3007</td>\n",
" <td>17</td>\n",
" <td>176.882353</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>05</td>\n",
" <td>4610</td>\n",
" <td>34</td>\n",
" <td>135.588235</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>06</td>\n",
" <td>5304</td>\n",
" <td>43</td>\n",
" <td>123.348837</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>07</td>\n",
" <td>12251</td>\n",
" <td>97</td>\n",
" <td>126.298969</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>08</td>\n",
" <td>23722</td>\n",
" <td>131</td>\n",
" <td>181.083969</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>09</td>\n",
" <td>40020</td>\n",
" <td>231</td>\n",
" <td>173.246753</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>10</td>\n",
" <td>50946</td>\n",
" <td>265</td>\n",
" <td>192.249057</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>11</td>\n",
" <td>57926</td>\n",
" <td>302</td>\n",
" <td>191.807947</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>12</td>\n",
" <td>63300</td>\n",
" <td>292</td>\n",
" <td>216.780822</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>13</td>\n",
" <td>44225</td>\n",
" <td>255</td>\n",
" <td>173.431373</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>14</td>\n",
" <td>46345</td>\n",
" <td>271</td>\n",
" <td>171.014760</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>15</td>\n",
" <td>44100</td>\n",
" <td>270</td>\n",
" <td>163.333333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>16</td>\n",
" <td>34012</td>\n",
" <td>236</td>\n",
" <td>144.118644</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>17</td>\n",
" <td>33932</td>\n",
" <td>206</td>\n",
" <td>164.718447</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>18</td>\n",
" <td>30524</td>\n",
" <td>198</td>\n",
" <td>154.161616</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>19</td>\n",
" <td>27836</td>\n",
" <td>199</td>\n",
" <td>139.879397</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>20</td>\n",
" <td>29350</td>\n",
" <td>188</td>\n",
" <td>156.117021</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>21</td>\n",
" <td>23260</td>\n",
" <td>172</td>\n",
" <td>135.232558</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>22</td>\n",
" <td>17876</td>\n",
" <td>110</td>\n",
" <td>162.509091</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>23</td>\n",
" <td>12570</td>\n",
" <td>92</td>\n",
" <td>136.630435</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" hour sum_score len_score mean_score\n",
"0 00 7740 74 104.594595\n",
"1 01 5302 52 101.961538\n",
"2 02 4823 32 150.718750\n",
"3 03 1162 13 89.384615\n",
"4 04 3007 17 176.882353\n",
"5 05 4610 34 135.588235\n",
"6 06 5304 43 123.348837\n",
"7 07 12251 97 126.298969\n",
"8 08 23722 131 181.083969\n",
"9 09 40020 231 173.246753\n",
"10 10 50946 265 192.249057\n",
"11 11 57926 302 191.807947\n",
"12 12 63300 292 216.780822\n",
"13 13 44225 255 173.431373\n",
"14 14 46345 271 171.014760\n",
"15 15 44100 270 163.333333\n",
"16 16 34012 236 144.118644\n",
"17 17 33932 206 164.718447\n",
"18 18 30524 198 154.161616\n",
"19 19 27836 199 139.879397\n",
"20 20 29350 188 156.117021\n",
"21 21 23260 172 135.232558\n",
"22 22 17876 110 162.509091\n",
"23 23 12570 92 136.630435"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Pivot sull'ora\n",
"pivhours = pd.pivot_table(\n",
" submissions_hour, index=[\"hour\"], values=[\"score\"], aggfunc=[\"sum\", len, \"mean\"]\n",
")\n",
"pivhours.columns = pivhours.columns.to_series().str.join(\"_\")\n",
"pivhours = pivhours.reset_index()\n",
"pivhours"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "09270647-dfa7-4136-a377-d0a0672ff11d",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1000x600 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Grafico Post per ora\n",
"fig, ax1 = plt.subplots(figsize=(10, 6))\n",
"pos = ax1.scatter(\n",
" y=pivhours.len_score, x=pivhours.hour, s=100, c=pivhours.mean_score, cmap=\"winter\"\n",
")\n",
"pos.set_clim(0)\n",
"cbar = fig.colorbar(pos)\n",
"ax1.set_ylim(0)\n",
"ax1.set_title(\"Post per ora di invio\")\n",
"ax1.set_ylabel(\"Numero di post\")\n",
"ax1.set_xlabel(\"Ora di inivo\")\n",
"cbar.set_label(\"Karma medio\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "c4f93fad-f73b-45ec-b141-985d967e4b2a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>mean_score</th>\n",
" <th>sum_score</th>\n",
" <th>len_score</th>\n",
" </tr>\n",
" <tr>\n",
" <th>dweek</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>163.747059</td>\n",
" <td>83511</td>\n",
" <td>510</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>173.349376</td>\n",
" <td>97249</td>\n",
" <td>561</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>162.243156</td>\n",
" <td>100753</td>\n",
" <td>621</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>161.574871</td>\n",
" <td>93875</td>\n",
" <td>581</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>153.189627</td>\n",
" <td>94518</td>\n",
" <td>617</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>166.699374</td>\n",
" <td>79849</td>\n",
" <td>479</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>180.992701</td>\n",
" <td>74388</td>\n",
" <td>411</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" mean_score sum_score len_score\n",
"dweek \n",
"1 163.747059 83511 510\n",
"2 173.349376 97249 561\n",
"3 162.243156 100753 621\n",
"4 161.574871 93875 581\n",
"5 153.189627 94518 617\n",
"6 166.699374 79849 479\n",
"7 180.992701 74388 411"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Pivot e grafico post sul giorno della settimana\n",
"pivdweek = pd.pivot_table(\n",
" submissions_hour, index=[\"dweek\"], values=[\"score\"], aggfunc=[\"mean\", \"sum\", len]\n",
")\n",
"pivdweek.columns = pivdweek.columns.to_series().str.join(\"_\")\n",
"fig, ax = plt.subplots(figsize=(10, 6))\n",
"dweek_graph = ax.scatter(\n",
" x=pivdweek.index, y=pivdweek.len_score, c=pivdweek.mean_score, s=400, cmap=\"winter\"\n",
")\n",
"# dweek_graph.set_clim(0)\n",
"cbar = fig.colorbar(dweek_graph)\n",
"ax.set_xlabel(\"Giorno della settimana\")\n",
"ax.set_ylabel(\"Numero di post\")\n",
"ax.set_ylim(0, 1100)\n",
"ax.set_xticks(range(0, 7))\n",
"ax.set_xticklabels(\n",
" [\"Lunedì\", \"Martedì\", \"Mercoledì\", \"Giovedì\", \"Venerdì\", \"Sabato\", \"Domenica\"]\n",
")\n",
"cbar.set_label(\"Karma medio\")\n",
"ax.set_title(\"Post per giorno di invio\")\n",
"pivdweek"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "eea2bb76-e0c6-45c8-b31b-e8112909c195",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Media del numero di post rolling su 14 giorni')"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1500x1000 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Andamento dei post nell'anno\n",
"week_df = submissions_hour.resample(\"D\", on=\"day\").count()\n",
"week_df = week_df.reset_index()\n",
"week_df = week_df.rolling(\"14D\", on=\"day\").mean(numeric_only=True)\n",
"week_df = week_df.reset_index()\n",
"week_df = week_df.tail(len(week_df) - 14)\n",
"fig, ax = plt.subplots()\n",
"ax.set_ylim(0, 20)\n",
"ax.plot(week_df.day.tolist(), week_df.score.tolist())\n",
"ax.set_xlabel(\"Giorno\")\n",
"ax.set_ylabel(\"Media del numero di post rolling su 14 giorni\")"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "0afd0357-0dba-4a58-950d-6be222880275",
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"|Numero di commenti|Post|Autore|\n",
"|:-:|:--|:--|\n",
"| 8,063 | [[Megathread] 73° Festival di Sanremo - Quinta Serata (FINALE)](https://www.reddit.com/r/italy/comments/10zvqq1/megathread_73_festival_di_sanremo_quinta_serata/) | u/Jockbaia |\n",
"| 6,536 | [[Megathread] 73° Festival di Sanremo - Quarta Serata (DUETTI)](https://www.reddit.com/r/italy/comments/10z0l79/megathread_73_festival_di_sanremo_quarta_serata/) | u/Jockbaia |\n",
"| 6,262 | [[Megathread] 73° Festival di Sanremo - Prima Serata](https://www.reddit.com/r/italy/comments/10wapg5/megathread_73_festival_di_sanremo_prima_serata/) | u/Jockbaia |\n",
"| 5,495 | [[Megathread] 73° Festival di Sanremo - Seconda Serata](https://www.reddit.com/r/italy/comments/10x8b7q/megathread_73_festival_di_sanremo_seconda_serata/) | u/Jockbaia |\n",
"| 5,391 | [[Megathread] 73° Festival di Sanremo - Terza Serata](https://www.reddit.com/r/italy/comments/10y3p2n/megathread_73_festival_di_sanremo_terza_serata/) | u/Jockbaia |\n",
"| 3,664 | [[Megathread] Elezioni Politiche 2022 - Spoglio e risultati - II](https://www.reddit.com/r/italy/comments/xo37iy/megathread_elezioni_politiche_2022_spoglio_e/) | u/listello |\n",
"| 3,558 | [[Megathread] Eurovision Song Contest 2023 - Serata FINALE](https://www.reddit.com/r/italy/comments/13gp14d/megathread_eurovision_song_contest_2023_serata/) | u/Modena89 |\n",
"| 2,852 | [[Megathread] Elezioni Politiche 2022 - Spoglio e risultati](https://www.reddit.com/r/italy/comments/xnx9j1/megathread_elezioni_politiche_2022_spoglio_e/) | u/listello |\n",
"| 2,422 | [[Megathread] Elezioni Politiche 2022 - Anteprima](https://www.reddit.com/r/italy/comments/xmk2yz/megathread_elezioni_politiche_2022_anteprima/) | u/listello |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"'|Numero di commenti|Post|Autore|\\n|:-:|:--|:--|\\n| 8,063 | [[Megathread] 73° Festival di Sanremo - Quinta Serata (FINALE)](https://www.reddit.com/r/italy/comments/10zvqq1/megathread_73_festival_di_sanremo_quinta_serata/) | u/Jockbaia |\\n| 6,536 | [[Megathread] 73° Festival di Sanremo - Quarta Serata (DUETTI)](https://www.reddit.com/r/italy/comments/10z0l79/megathread_73_festival_di_sanremo_quarta_serata/) | u/Jockbaia |\\n| 6,262 | [[Megathread] 73° Festival di Sanremo - Prima Serata](https://www.reddit.com/r/italy/comments/10wapg5/megathread_73_festival_di_sanremo_prima_serata/) | u/Jockbaia |\\n| 5,495 | [[Megathread] 73° Festival di Sanremo - Seconda Serata](https://www.reddit.com/r/italy/comments/10x8b7q/megathread_73_festival_di_sanremo_seconda_serata/) | u/Jockbaia |\\n| 5,391 | [[Megathread] 73° Festival di Sanremo - Terza Serata](https://www.reddit.com/r/italy/comments/10y3p2n/megathread_73_festival_di_sanremo_terza_serata/) | u/Jockbaia |\\n| 3,664 | [[Megathread] Elezioni Politiche 2022 - Spoglio e risultati - II](https://www.reddit.com/r/italy/comments/xo37iy/megathread_elezioni_politiche_2022_spoglio_e/) | u/listello |\\n| 3,558 | [[Megathread] Eurovision Song Contest 2023 - Serata FINALE](https://www.reddit.com/r/italy/comments/13gp14d/megathread_eurovision_song_contest_2023_serata/) | u/Modena89 |\\n| 2,852 | [[Megathread] Elezioni Politiche 2022 - Spoglio e risultati](https://www.reddit.com/r/italy/comments/xnx9j1/megathread_elezioni_politiche_2022_spoglio_e/) | u/listello |\\n| 2,422 | [[Megathread] Elezioni Politiche 2022 - Anteprima](https://www.reddit.com/r/italy/comments/xmk2yz/megathread_elezioni_politiche_2022_anteprima/) | u/listello |\\n'"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Post con più commenti, qualsiasi\n",
"re_table(\n",
" submissions.sort_values(\"num_comments\", ascending=False).head(10),\n",
" \"num_comments\",\n",
" \"Numero di commenti\",\n",
" filter=lambda subm: not (\"asual\" in subm[\"title\"] or \"ega\" in subm[\"title\"]),\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "3374364b-f4ea-46da-9e58-200ff972c38e",
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"|Numero di commenti|Post|Autore|\n",
"|:-:|:--|:--|\n",
"| 6,409 | [Iscriviti al Fantamorto edizione 2023!](https://www.reddit.com/r/italy/comments/zkqfu0/iscriviti_al_fantamorto_edizione_2023/) | u/fantamortobot |\n",
"| 1,671 | [Stavo camminando e ho trovato un auto con una ruota a terra e con questo messaggio sul parabrezza.](https://www.reddit.com/r/italy/comments/15crk92/stavo_camminando_e_ho_trovato_un_auto_con_una/) | u/ActuallyNotSoBright |\n",
"| 1,209 | [Ma voi ci andreste in guerra?](https://www.reddit.com/r/italy/comments/xk05y9/ma_voi_ci_andreste_in_guerra/) | u/fruzziy |\n",
"| 1,080 | [Sgonfiano le ruote ai suv a Milano, blitz collettivo suv-versive - Cronaca](https://www.reddit.com/r/italy/comments/10guqz4/sgonfiano_le_ruote_ai_suv_a_milano_blitz/) | u/zborro |\n",
"| 1,020 | [Qual è la spesa “sostanziosa” di cui vi siete maggiormente pentiti?](https://www.reddit.com/r/italy/comments/xes3cx/qual_è_la_spesa_sostanziosa_di_cui_vi_siete/) | u/Khronos91 |\n",
"| 856 | [(crosspost) Avete visto delle 3 ragazze in treno accusate di \"razzismo\" che sta facendo il giro del mondo?](https://www.reddit.com/r/italy/comments/130fgsb/crosspost_avete_visto_delle_3_ragazze_in_treno/) | u/Kooky_General_3292 |\n",
"| 852 | [Cose che \"come ho fatto a stare senza?\"](https://www.reddit.com/r/italy/comments/14wlva1/cose_che_come_ho_fatto_a_stare_senza/) | u/catf1shed |\n",
"| 848 | [Un aggiornamento sul Blackout, vogliamo sentire la vostra opinione](https://www.reddit.com/r/italy/comments/1491l86/un_aggiornamento_sul_blackout_vogliamo_sentire_la/) | u/timendum |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"'|Numero di commenti|Post|Autore|\\n|:-:|:--|:--|\\n| 6,409 | [Iscriviti al Fantamorto edizione 2023!](https://www.reddit.com/r/italy/comments/zkqfu0/iscriviti_al_fantamorto_edizione_2023/) | u/fantamortobot |\\n| 1,671 | [Stavo camminando e ho trovato un auto con una ruota a terra e con questo messaggio sul parabrezza.](https://www.reddit.com/r/italy/comments/15crk92/stavo_camminando_e_ho_trovato_un_auto_con_una/) | u/ActuallyNotSoBright |\\n| 1,209 | [Ma voi ci andreste in guerra?](https://www.reddit.com/r/italy/comments/xk05y9/ma_voi_ci_andreste_in_guerra/) | u/fruzziy |\\n| 1,080 | [Sgonfiano le ruote ai suv a Milano, blitz collettivo suv-versive - Cronaca](https://www.reddit.com/r/italy/comments/10guqz4/sgonfiano_le_ruote_ai_suv_a_milano_blitz/) | u/zborro |\\n| 1,020 | [Qual è la spesa “sostanziosa” di cui vi siete maggiormente pentiti?](https://www.reddit.com/r/italy/comments/xes3cx/qual_è_la_spesa_sostanziosa_di_cui_vi_siete/) | u/Khronos91 |\\n| 856 | [(crosspost) Avete visto delle 3 ragazze in treno accusate di \"razzismo\" che sta facendo il giro del mondo?](https://www.reddit.com/r/italy/comments/130fgsb/crosspost_avete_visto_delle_3_ragazze_in_treno/) | u/Kooky_General_3292 |\\n| 852 | [Cose che \"come ho fatto a stare senza?\"](https://www.reddit.com/r/italy/comments/14wlva1/cose_che_come_ho_fatto_a_stare_senza/) | u/catf1shed |\\n| 848 | [Un aggiornamento sul Blackout, vogliamo sentire la vostra opinione](https://www.reddit.com/r/italy/comments/1491l86/un_aggiornamento_sul_blackout_vogliamo_sentire_la/) | u/timendum |\\n'"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Post con più commenti, non mega\n",
"re_table(\n",
" submissions.sort_values(\"num_comments\", ascending=False).head(320),\n",
" \"num_comments\",\n",
" \"Numero di commenti\",\n",
" filter=lambda subm: \"asual\" in subm[\"title\"]\n",
" or \"Quacksual\" in subm[\"title\"]\n",
" or \"caffè\" in subm[\"title\"].lower()\n",
" or \"Megathread\" in subm[\"title\"],\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "95cc1159-33c2-4db6-bcb2-1611272b7340",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score</th>\n",
" <th>created_utc</th>\n",
" <th>removed</th>\n",
" <th>collapsed</th>\n",
" <th>locked</th>\n",
" <th>last_update</th>\n",
" <th>day</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>960419.000000</td>\n",
" <td>9.604190e+05</td>\n",
" <td>960419.0</td>\n",
" <td>960419.000000</td>\n",
" <td>960419.000000</td>\n",
" <td>9.604190e+05</td>\n",
" <td>960419</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>6.733746</td>\n",
" <td>1.677203e+09</td>\n",
" <td>0.0</td>\n",
" <td>0.039010</td>\n",
" <td>0.000861</td>\n",
" <td>1.689296e+09</td>\n",
" <td>2023-02-24 01:49:49.391124736</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>-261.000000</td>\n",
" <td>1.662768e+09</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.662846e+09</td>\n",
" <td>2022-09-10 00:00:58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>1.000000</td>\n",
" <td>1.669318e+09</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.685310e+09</td>\n",
" <td>2022-11-24 19:18:24.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>2.000000</td>\n",
" <td>1.676207e+09</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.689802e+09</td>\n",
" <td>2023-02-12 13:06:30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>5.000000</td>\n",
" <td>1.684541e+09</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.694036e+09</td>\n",
" <td>2023-05-20 00:03:32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>2537.000000</td>\n",
" <td>1.694304e+09</td>\n",
" <td>0.0</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.697578e+09</td>\n",
" <td>2023-09-09 23:58:28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>22.451822</td>\n",
" <td>9.052573e+06</td>\n",
" <td>0.0</td>\n",
" <td>0.193619</td>\n",
" <td>0.029332</td>\n",
" <td>5.567188e+06</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" score created_utc removed collapsed locked \\\n",
"count 960419.000000 9.604190e+05 960419.0 960419.000000 960419.000000 \n",
"mean 6.733746 1.677203e+09 0.0 0.039010 0.000861 \n",
"min -261.000000 1.662768e+09 0.0 0.000000 0.000000 \n",
"25% 1.000000 1.669318e+09 0.0 0.000000 0.000000 \n",
"50% 2.000000 1.676207e+09 0.0 0.000000 0.000000 \n",
"75% 5.000000 1.684541e+09 0.0 0.000000 0.000000 \n",
"max 2537.000000 1.694304e+09 0.0 1.000000 1.000000 \n",
"std 22.451822 9.052573e+06 0.0 0.193619 0.029332 \n",
"\n",
" last_update day \n",
"count 9.604190e+05 960419 \n",
"mean 1.689296e+09 2023-02-24 01:49:49.391124736 \n",
"min 1.662846e+09 2022-09-10 00:00:58 \n",
"25% 1.685310e+09 2022-11-24 19:18:24.500000 \n",
"50% 1.689802e+09 2023-02-12 13:06:30 \n",
"75% 1.694036e+09 2023-05-20 00:03:32 \n",
"max 1.697578e+09 2023-09-09 23:58:28 \n",
"std 5.567188e+06 NaN "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Dataframe Commenti\n",
"comments = pd.read_sql_query(\n",
" \"select * from comments where created_utc < 1694296800 and created_utc > 1662760800 and removed != 1 and author != 'RedditItalyBot' and author !='moderator'\",\n",
" conn,\n",
")\n",
"comments = comments.sort_values(\"created_utc\", ascending=True)\n",
"comments[\"created_utc\"] = comments[\"created_utc\"].apply(\n",
" lambda x: x + 3600 if x > 1680220800 or x < 1698616800 else x\n",
")\n",
"comments[\"created_utc\"] = comments[\"created_utc\"].apply(lambda x: x + 3600)\n",
"comments[\"day\"] = pd.to_datetime(comments.created_utc, unit=\"s\")\n",
"comments[\"hour\"] = comments.day.dt.strftime(\"%H\")\n",
"display(comments.describe())"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "f2841f7f-9328-4963-a304-8a1435c89307",
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"|Punteggio|Commento|Autore|\n",
"|:-:|:--|:--|\n",
"| 2,537 | [I wake up to the sound of Pavarotti's rendition of Nessun Dorma blasting from my gramophone, while my busty wife opens the curtains so that I can take in the view of the leaning tower of Pisa. As I walk down the stone steps of the 13th century farm where we live, I can see my big chested wife already has a full spread ready for me: espresso and a pack of cigarettes. I down it in one while lighting the first cig and off I go on my vespa, ready for work. As I cruise past the Colosseo I light another cigarette with the one I already have in my mouth and I'm ready for my espresso with the colleagues at the bar around the corner from the office. I sign in and it's 12, so time for lunch. Off we got to the trattoria for a 5 course meal: pasta, pasta, grigliata mista, pesce, caffè e ammazzacaffè. You know, gotta keep it light. Then it's time to take our cigarettes for a stroll by piazza san marco. 3 espressos later we're back in the office, so do 30 mins of work and it's time for our mid afternoon cigarette but this time we go to the terrace so we can admire the wonderful view of mount Vesuvius. It's then time for aperitivo. Back on the vespa, wizz by the Uffizi gallery while smoking and here we go, a nice mixed platter of cured meats while we wait for my generously titted wife to get dinner ready. Then it's time for pizza, 3/4 bottles of wine, limoncello and everyone is shouting I should get out the mandolino and perform the latest hit, o' Sole mio. The crowd goes wild, they throw their cigarettes in the air and it's time for bed. We all down our amaro and off they go on their lambrettas. At this point it's time for a snack before bed, maybe a cigarette while my wife's humongous melons swing as she cleans the house and kisses me good night. And so I drift off, thinking about tomorrow as we start our 3 months government mandated holiday. Life is good.](https://www.reddit.com/r/italy/comments/ztk3ss/_/j1ei1vd/) | u/La-Sborrata-Sul-Viso |\n",
"| 2,392 | [come triggerare 60milioni di persone easy](https://www.reddit.com/r/italy/comments/xgwnuc/_/ioufoyh/) | u/rusl1 |\n",
"| 1,721 | [Non ho capito se è un rant da gamers o una complessa analisi geopolitica](https://www.reddit.com/r/italy/comments/15axj0i/_/jtnaa9s/) | u/Ilgiovineitaliano |\n",
"| 1,552 | [American tourists in particular take pictures of any building that looks more than 500 years old. Usually they think it's some kind of landmark. My brother in christ you're taking photos of the studio del mio commercialista maledetto.](https://www.reddit.com/r/italy/comments/11dwsp6/_/jabu9ka/) | u/emAK47 |\n",
"| 1,443 | [Per chi capisce cosa significa, è di una gravità assoluta: i media, deliberatamente e volontariamente, iniettano veleno nel corpo del paese e instillano odio tra le persone. Perché lo fanno? A quali scopi? A chi e a quali logiche rispondono?](https://www.reddit.com/r/italy/comments/13ejrkc/_/jjqjcdo/) | u/RMattiae |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"|Punteggio|Commento|Autore|\n",
"|:-:|:--|:--|\n",
"| -261 | [Madonna se siete esagerati con i pregiudizi. Voi l’imprenditore non potreste mai farlo](https://www.reddit.com/r/italy/comments/15f5v5p/_/juc1rif/) | u/alfredo-signori |\n",
"| -233 | [Per curiosità, sai se elezioni/referendum occidentali vengono supervisionati da qualcuno di esterno o ci si fida? Ogni volta che si parla di elezioni in parti \"sospette\" del mondo si citano questi organismi internazionali che dovrebbero supervisionare, ma mai in quelle dalla parte giusta del globo. Che poi come funziona, dovrebbero mettere qualcuno in ogni seggio? Da quel che ho visto non c'era proprio segretezza, la scheda si consegnava aperta, mancava solo averla precompilata](https://www.reddit.com/r/italy/comments/xq6reb/_/iq7qg0p/) | u/AlexiusRex |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"'|Punteggio|Commento|Autore|\\n|:-:|:--|:--|\\n| -261 | [Madonna se siete esagerati con i pregiudizi. Voi l’imprenditore non potreste mai farlo](https://www.reddit.com/r/italy/comments/15f5v5p/_/juc1rif/) | u/alfredo-signori |\\n| -233 | [Per curiosità, sai se elezioni/referendum occidentali vengono supervisionati da qualcuno di esterno o ci si fida? Ogni volta che si parla di elezioni in parti \"sospette\" del mondo si citano questi organismi internazionali che dovrebbero supervisionare, ma mai in quelle dalla parte giusta del globo. Che poi come funziona, dovrebbero mettere qualcuno in ogni seggio? Da quel che ho visto non c\\'era proprio segretezza, la scheda si consegnava aperta, mancava solo averla precompilata](https://www.reddit.com/r/italy/comments/xq6reb/_/iq7qg0p/) | u/AlexiusRex |\\n'"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Commenti migliori e peggiori\n",
"ce_table(comments.sort_values(\"score\", ascending=False).head(5), \"score\", \"Punteggio\")\n",
"ce_table(comments.sort_values(\"score\", ascending=True).head(2), \"score\", \"Punteggio\")"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "d3813469-f1bb-4843-a9de-1c52cd10fbf9",
"metadata": {},
"outputs": [],
"source": [
"# Pivot autori di commenti\n",
"limit = 20\n",
"csummauthor = pd.pivot_table(\n",
" comments, index=[\"author\"], values=[\"score\"], aggfunc=[\"sum\", len, \"mean\"]\n",
")\n",
"csummauthor.columns = csummauthor.columns.to_series().str.join(\"_\")\n",
"csummauthor = csummauthor.reset_index()\n",
"csummauthor = csummauthor.sort_values(\"len_score\", ascending=False)\n",
"csummauthor.to_csv(\"users-comments.csv\", index=False)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "71daeb6e-02eb-4e28-8b31-5a9b06e33cc7",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sum_score</th>\n",
" <th>len_score</th>\n",
" <th>mean_score</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>30096.000000</td>\n",
" <td>30096.000000</td>\n",
" <td>30096.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>214.886297</td>\n",
" <td>31.911849</td>\n",
" <td>6.879530</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>1071.086242</td>\n",
" <td>179.210620</td>\n",
" <td>16.564379</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>-849.000000</td>\n",
" <td>1.000000</td>\n",
" <td>-73.666667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>10.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>73.000000</td>\n",
" <td>11.000000</td>\n",
" <td>7.166667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>56818.000000</td>\n",
" <td>11833.000000</td>\n",
" <td>837.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" sum_score len_score mean_score\n",
"count 30096.000000 30096.000000 30096.000000\n",
"mean 214.886297 31.911849 6.879530\n",
"std 1071.086242 179.210620 16.564379\n",
"min -849.000000 1.000000 -73.666667\n",
"25% 2.000000 1.000000 1.000000\n",
"50% 10.000000 3.000000 3.000000\n",
"75% 73.000000 11.000000 7.166667\n",
"max 56818.000000 11833.000000 837.000000"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"|len_score| Num | Perc| Perc |\n",
"|--:|--:|--:|--:|\n",
"| 2 | 19,902 | 66% | 34% |\n",
"| 5 | 12,083 | 40% | 60% |\n",
"| 10 | 8,233 | 27% | 73% |\n",
"| 20 | 5,463 | 18% | 82% |\n"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"'|len_score| Num | Perc| Perc |\\n|--:|--:|--:|--:|\\n| 2 | 19,902 | 66% | 34% |\\n| 5 | 12,083 | 40% | 60% |\\n| 10 | 8,233 | 27% | 73% |\\n| 20 | 5,463 | 18% | 82% |\\n'"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"display(csummauthor.describe())\n",
"pmore_than(csummauthor, \"len_score\", [2, 5, 10, 20])"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "4baddbc7-8903-4333-bba6-435ccc102dde",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1500x1000 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Grafico dei top autori di commenti\n",
"lsummauthor = csummauthor.head(limit)\n",
"lsummauthor = lsummauthor[(lsummauthor.author != \"[deleted]\")]\n",
"author_graph = lsummauthor.plot.scatter(y=\"sum_score\", x=\"len_score\", figsize=(15, 10))\n",
"dlabel = defaultdict(lambda: (50, 100))\n",
"dlabel[\"SpigoloTondo\"] = (-1300, 100)\n",
"dlabel[\"nunziantimo\"] = (100, -500)\n",
"dlabel[\"abearaman\"] = (-1100, 100)\n",
"dlabel[\"JustSomebody56\"] = (-1600, 100)\n",
"dlabel[\"Limortaccivostri\"] = (70, -400)\n",
"for i, txt in enumerate(lsummauthor.author):\n",
" author_graph.annotate(\n",
" txt,\n",
" (\n",
" lsummauthor.len_score.iat[i] + dlabel[txt][0],\n",
" lsummauthor.sum_score.iat[i] + dlabel[txt][1],\n",
" ),\n",
" )\n",
"author_graph.set_xlabel(\"Numero di commenti\")\n",
"author_graph.set_ylabel(\"Karma totale\")\n",
"author_graph.set_xlim(left=-1)\n",
"author_graph.set_ylim(bottom=-30)\n",
"author_graph.axhline(y=0, color=\"black\", linewidth=4, alpha=0.7)\n",
"author_graph.axvline(x=0, color=\"black\", linewidth=4, alpha=0.7)\n",
"author_graph.get_yaxis().set_major_formatter(TFORMATTER)\n",
"author_graph.get_xaxis().set_major_formatter(TFORMATTER)"
]
},
{
"cell_type": "code",
"execution_count": 88,
"id": "2d60028b-ca7a-4f45-ba43-bb5d5309db43",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.lines.Line2D at 0x1adb3a305b0>"
]
},
"execution_count": 88,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1500x1200 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LIMIT = 20\n",
"lsummauthor = csummauthor[(csummauthor.author != \"[deleted]\")]\n",
"# Grafico con i post per domini\n",
"fig, ax1 = plt.subplots(figsize=(15, 12))\n",
"ticks = np.arange(LIMIT) # the label locations\n",
"width = 0.35 # the width of the bars\n",
"\n",
"ax2 = ax1.twinx()\n",
"\n",
"bar1 = ax1.bar(\n",
" ticks - width / 2,\n",
" lsummauthor.len_score.to_list()[:LIMIT],\n",
" width,\n",
" color=\"red\",\n",
" label=\"Numero di commenti\",\n",
")\n",
"bar2 = ax2.bar(\n",
" ticks + width / 2,\n",
" lsummauthor.sum_score.to_list()[:LIMIT],\n",
" width,\n",
" label=\"Karma totale\",\n",
")\n",
"ax2.grid(False)\n",
"ax1.set_xticks(ticks)\n",
"ax1.get_yaxis().set_major_formatter(TFORMATTER)\n",
"ax1.set_xticklabels(lsummauthor.author.to_list()[:LIMIT], rotation=90)\n",
"fig.legend(loc=\"upper right\", bbox_to_anchor=(1, 1), bbox_transform=ax2.transAxes)\n",
"ax1.set_ylabel(\"Numero di commenti\")\n",
"ax2.get_yaxis().set_major_formatter(TFORMATTER)\n",
"ax2.set_ylabel(\"Karma totale dei commenti\")\n",
"bcmap = matplotlib.colormaps.get_cmap(\"viridis\")\n",
"cmap = matplotlib.colors.ListedColormap(bcmap(np.linspace(0.0, 0.60, 256)))\n",
"norm = plt.Normalize(0, max(lsummauthor[\"mean_score\"].to_list()[:LIMIT]))\n",
"for i in range(LIMIT):\n",
" ax2.text(\n",
" ticks[i] - width / 2,\n",
" max(csummauthor[\"len_score\"].to_list()[i] / ax1.get_ybound()[1] * ax2.get_ybound()[1], lsummauthor[\"sum_score\"].to_list()[i]) \n",
" + 500,\n",
" \"{:.1f}\".format(lsummauthor[\"mean_score\"].to_list()[i]),\n",
" color=cmap(norm(lsummauthor[\"mean_score\"].to_list()[i])),\n",
" weight=\"bold\",\n",
" )\n",
"fig.colorbar(\n",
" matplotlib.cm.ScalarMappable(norm=norm, cmap=cmap),\n",
" label=\"Karma medio\",\n",
" orientation=\"horizontal\",\n",
" pad=0.2,\n",
" aspect=60,\n",
" ax=ax1,\n",
")\n",
"ax1.axhline(y=0, color=\"black\", linewidth=5.1, alpha=0.7)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "f5e6026f-31c8-43d8-bdc5-4eeaa61bec17",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"329,338 6,467,218 5.0924215017956715\n",
"83,843 960,419 8.729835623826684\n"
]
}
],
"source": [
"# Rapporto tra gli autori di commenti top e il totale\n",
"print(\n",
" TFORMATTER.format_data(lsummauthor.sum_score.sum()),\n",
" TFORMATTER.format_data(comments.score.sum()),\n",
" lsummauthor.sum_score.sum() / comments.score.sum() * 100,\n",
")\n",
"print(\n",
" TFORMATTER.format_data(lsummauthor.len_score.sum()),\n",
" TFORMATTER.format_data(comments.score.count()),\n",
" lsummauthor.len_score.sum() / comments.score.count() * 100,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "02333f45-4b06-4f86-8924-3947e4f348a1",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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GDNGLL74Y9viuXbvq4YcfdrUvAAAAt5x7Csd4Iv/lVCnsVNEMAAAAIHZch8JnnnmmJGn37t266qqr9Mtf/lJ9+vRRdna2cbxlWZo7d67b3YWloqJCn3/+uZ5++umo7gcAAMBr/A3m7U7hbLQ59RSuIhQGAAAA4s51KLx48eImvy8vL9cnn3ziOD4WrRPy8vJUUlIS9f0AAAB4jXOlsLdCYSqFAQAAgPhzHQrPmDEjkvMAAABAK3itpzCVwgAAAIB3uQ6FL7744kjOAwAAAK3gN4StqZaU6vNWKEylMAAAABB/5mWhw3DmmWfqvPPOU21tbSTnAwAAABdM7SPiVSUsOYfC1YTCAAAAQNy5DoWXL1+uHTt2KCMjI5LzAQAAgAum9hHx6icsNdc+IhjjmQAAAADYn+tQuGvXrmpocFjmGgAAADFVkyCVwrSPAAAAAOLPdSh8yimn6JtvvtGOHTsiOR8AAAC4YKoUznS9ekTrZaeaP2bSPgIAAACIP9eh8K9//Wu1a9dO/+///T9VVFREck4AAABoIb/hBq54to/ISJFMeycUBgAAAOLPdf3IggULdNlll+nBBx/UkCFDdPbZZ+uwww5Tdna243Muuugit7sDAABAM/yGsDWe7SMsy1JOqqXK/eZFKAwAAADEn+tQ+JprrpFlWbJtWzt27NDjjz9+wOcQCgMAAESH32M9hSUpyxAK01MYAAAAiD/XofDxxx8vy4rvhQYAAAD2MPYUjnMobFpsropQGAAAAIg716Hw66+/Hsl5AAAAoBVqDKFwPHsKS+ZQmEphAAAAIP5cLzQHAAAA7zBVCmcZQtlYMoXC1YFgHGYCAAAAYF+EwgAAAEnA1FM43pXCplCaheYAAACA+HPdPmIv27b12muv6a233tLq1atVUVGhvLw89e/fX6eeeqpGjx5N72EAAIAoM/cUjsNE9pFDKAwAAAB4UqtC4fXr1+uSSy7RF198IWlPQLzX8uXL9cwzz+jwww/X008/rV69erVqogAAADCzbVv+htDt8V5oLis19KY0egoDAAAA8ec6FN69e7fOPvtsbdiwQSkpKTrjjDM0YMAAde3aVdu2bdNXX32l//znP1q5cqXOPfdcvfvuu8rPz4/k3AEAACCp1hAIS/EPhc09hQmFAQAAgHhzHQrPmDFDGzZs0OGHH64nn3xSffr0CRlTXFysyy67TF988YUeeeQRTZ06tVWTBQAAQChTP2Ep/j2FCYUBAAAAb3K90Nxrr72mlJQUzZw50xgIS1Lv3r01c+ZMWZalV1991fUkAQAA4MwpFDYt9BZLplA4YEt1DvMFAAAAEBuuQ+HvvvtOhx566AF7Bffq1UuHHXaYvvvuO7e7AgAAQDO8WinsFEpTLQwAAADEl+tQ2LZt+XzhPd2yrCaL0AEAACByah1C4Xj3FM4hFAYAAAA8yXUoXFRUpFWrVmnLli3Njtu0aZNWrVqloqIit7sCAABAM2ocQlbvVgoHYzwTAAAAAPtyHQqffvrpCgQCmjhxorZt22Ycs3XrVl1++eUKBoP6yU9+4nqSAAAAcOZUKZzlwYXmJCqFAQAAgHhLdfvE66+/Xv/85z/14YcfavDgwTrnnHM0YMAAde7cWd9//72++uorvfLKK6qtrVW3bt103XXXRXLeAAAA+C9/g3l7Rkps57G/nFRz/QGhMAAAABBfrkPh9u3b6+WXX9aECRO0Zs0aPf/8800e39tDuF+/fpo5c6YKCgpaNVEAAACYOS00F++ewk7tI5zaXQAAAACIDdehsCQddthhWrJkiebMmaO33npLq1evVmVlpXJzc9W/f3+deuqpOvfcc5WWlhap+QIAAGA/jqGwQygbK07tI6oIhQEAAIC4alUoLEnp6em64IILdMEFF0RiPgAAAGghp57C8a4UdgqFqRQGAAAA4sv1QnMAAADwBqdK4QyPhsL0FAYAAADii1AYAAAgwfkdQtYsj/YUJhQGAAAA4ius9hHXXnutJKlr1676/e9/32RbuCzL0sMPP9zC6QEAAOBAnNpHxLtSOIdQGAAAAPCksELhWbNmSZL69+/fGArPmjVLlmXJtsP7UE8oDAAAEB01jj2FYzyR/ThVCtNTGAAAAIivsELhm2++WZLUoUOHkG0AAACIL8eF5hxC2Vhx6ilcFQjGeCYAAAAA9hVWKDx16tSwtgEAACD2/A3m7Rm++IbCPstSZkro/KgUBgAAAOKLheYAAAASnN9QKZzmk1LiHApLUnZq6MdNegoDAAAA8UUoDAAAkOBMoXBWnBeZ28vUQoJQGAAAAIivsNpHmGzcuDHssSkpKcrLy1NeXp7b3QEAAMCBqadwBqEwAAAAAAeuQ+Ejjjiixc9p3769jj/+eP385z/XSSed5HbXAAAA2IepR69XQuEsQyhc47AwHgAAAIDYcN0+wrbtFv/atWuXXnvtNZ1zzjmaNm1aJN8HAABAm2WqFM70SChsqhSuqicUBgAAAOLJdShcWlqqe++9V+np6Ro7dqz+9a9/ad26ddq5c6fWrVunuXPnaty4cUpPT9e9996rTZs2acGCBbr00kslSQ888IAWLlwYqfcBAADQZpl6Cmcawth4oH0EAAAA4D2u20e8+eabmjp1qn7/+9/rhhtuaPJYQUGBTjzxRJ144ol66KGHNHXqVBUWFur000/XkUceqR49euiPf/yjHn/8cZ188smtfQ8AAABtmjEUTonDRAxyjKFwMA4zAQAAALCX60rh6dOnq0OHDpoyZUqz466//np16NBBDz/8cJNt2dnZ+uijj9zuHgAAAP/lbwjd5pWewjlpoR83K6kUBgAAAOLKdSj8+eefq6ioSJbV/AWHz+dTUVGRPv/888ZtGRkZ6tu3r3bt2uV29wAAAPgvU0/hLI+EwrkOPYVtm2AYAAAAiBfXoXBDQ4M2btx4wHG2bWvjxo1qaGhawpKSkqLMzEy3uwcAAMB/1Rgqb71TKRw6jwZbqjVUNwMAAACIDdeh8MCBA7Vjxw79/e9/b3bcY489pu+//14DBw5ssn3dunXq2LGj290DAADgv0yVwpkeCYVNC81J9BUGAAAA4sl1KHz11VfLtm395je/0ZQpU/Txxx+rrq5OklRXV6dPPvlEN9xwg37zm9/IsixNmjSp8bnLli1TWVmZhgwZ0vp3AAAA0MYZQ2GHMDbWTD2FJfoKAwAAAPGU6vaJY8eO1YoVKzR9+nTNnDlTM2fO3POCqakKBAKN42zb1uTJk3XOOec0bvv666911lln6eKLL3Y/cwAAAEiS/B6uFDb1FJb29BUGAAAAEB+uQ2FJuuOOO3TCCSfowQcf1AcffKBgMKj6+npJexaYO/bYYzVlyhSNGjWqyfMuv/xyXX755a3ZNQAAACQ1BG3VGToxZKTEfi4mpp7CklRFpTAAAAAQN60KhSXp1FNP1amnnqqqqioVFxerqqpKOTk56t27t3JyciIxRwAAADioDZrD1SyPVAo79RSmUhgAAACIn1aHwnvl5OTo8MMPj9TLAQAAIAy1DebtGR4JhXNSzT2Fq1hoDgAAAIgb1wvNAQAAIP5qHNoweKansFP7CCqFAQAAgLghFAYAAEhgtYZF5iTvhML0FAYAAAC8h1AYAAAggfmdQmGHXr6x5thTmFAYAAAAiBtCYQAAgATmFAp7padwruNCc/QUBgAAAOKFUBgAACCBOVYKeyQUzklzWGiOnsIAAABA3BAKAwAAJDCv9xRO90mmYmHaRwAAAADxQygMAACQwGocwtXMlBhPxIFlWco2LDZHKAwAAADED6EwAABAAqttMG/3Sk9hydxXmJ7CAAAAQPxEJRSeMGGCzjrrrGi8NAAAAPbh9Z7CkrmvMJXCAAAAQPykRuNFly9frh07dkTjpQEAALAPx1DY1Mg3TnKMlcKEwgAAAEC8hB0KL1myJOwXraurkyQtXbpUtv2/D/xDhw5twdQAAABwIIlQKZxtCIUrqRQGAAAA4ibsUHjMmDGyrJZdXIwZM6bx/y3LUklJSYueDwAAgObVJkAonGtYaK6ansIAAABA3LS4fcS+lb+xeB4AAACc1ThU3HopFM5JpacwAAAA4CVhh8Ldu3fXli1bdOaZZ+q+++5T586dHcceeuih2rFjh3bt2hWRSQIAAMDMqVI4w0uhsKFSmJ7CAAAAQPyElm04WLZsmS655BK99tprOuaYYzRz5sxozgsAAABhcO4pHOOJNMO40FzA5k4yAAAAIE7CDoXz8vL04IMPas6cOWrXrp2mTJmiM888U8XFxdGcHwAAAJphCoUzUtTitSCiyVQpbEuqcQi0AQAAAERX2KHwXsOGDdOyZcv085//XEuXLtXQoUP1l7/8RQ0NDdGYHwAAAJrhN3wE81LrCMncU1iihQQAAAAQLy0OhSUpKytL9957r/7973+rR48euvPOO3XyySdrxYoVEZ4eAAAAmmPqKZzltVDYUCkssdgcAAAAEC+uQuG9jjnmGC1evFjXX3+9vv76a51yyim65ZZbVF9fH6n5AQAAoBk1hmDVe5XC5vlUUikMAAAAxEWrQmFJysjI0B/+8AfNmzdP/fv316OPPqrS0tJIzA0AAAAHYKoUzkyQULg6EIzxTAAAAABIUmqkXujII4/UokWL9Je//IU2EgAAADFiXmjOY6FwGj2FAQAAAC+JWCgsSampqfrVr34VyZcEAABAM0yhcKL0FK6kpzAAAAAQF61uHwEAAID4MVcKx2Eizch1aB9BpTAAAAAQH4TCAAAACSwRegpnO/YUJhQGAAAA4iEmoXCfPn3UoUOHWOwKAACgTfEHQrdlOoSw8eLcU5iF5gAAAIB4iFmlsG1TCQIAABBppvYRXqsUznEIqekpDAAAAMQH7SMAAAASmKl9RIbXQmGHheboKQwAAADER2q4Azdu3Oh6J8EgtwYCAABEg6lSOMtjoXCaz1K6T6rb7yMhPYUBAACA+Ag7FB40aJAsy90Fhm3brp8LAAAAs0DQlilX9VqlsLSnWriutulkKwMUDgAAAADxEHYoLNEXGAAAwEtMVcKS93oKS1JOqk+ltQ1NttE+AgAAAIiPsEPhDh06aNeuXXrllVd02GGHhb0D27Z13HHHqayszM38AAAA4MDUT1iSMh0WdounXENf4SraRwAAAABxEXYofOSRR2r+/PnatGmTTjrppBbthNYRAAAAkVfjEKpmpMR4ImHINgTVVfW0jwAAAADiwRfuwMGDB0uSPv3002jNBQAAAC2wXzeGRt5sH0GlMAAAAOAVLaoUtm1bK1asaPFOunfvrtzc3BY/DwAAAM4SqqdwWmgtAj2FAQAAgPgIOxQeMWKEFi1apLS0tBbvZNGiRS1+DgAAAJqXSKEwPYUBAAAA7wg7FM7MzNThhx8ezbkAAACgBZxC4QwPhsLG9hFUCgMAAABxEXZPYQAAAHhLbQJVCpsWmqtpsNUQJBgGAAAAYo1QGAAAIEHVOLRfyDQEsPFm6iksSdUOwTYAAACA6CEUBgAASFDOlcIxnkgYch2CalpIAAAAALFHKAwAAJCgEqqnsGGhOYlQGAAAAIiHsBeaA+LBtm19VlKv/2z069uygPLTLd04KE9FefzVBQDA32DenuXBUNjUU1iSqgLBGM8EAAAAAMkaPGl3XVB/WVmhF4prtKmq6RXvnHU1+vS8LurgxXtjAQCIoWqHQNWLPYVzHXoKVzn0RQYAAAAQPbSPgOc0BG2d9cZO/eXzypBAWJJ219v6x6qqOMwMAABvcaoUdqrKjaccegoDAAAAnkEoDM95fYNfK0rqmx3z/va6GM0GAADvqnGqFPZg+wjHnsJUCgMAAAAxRygMz/n3hpoDjvl0Z51sm4tIAEDbVuOw0FxC9RSup6cwAAAAEGuEwvCUhqCteZtqDziurM7Wd5UO98wCANBG1BiqbNN9UorPe6Fwbio9hQEAAACvcL3Q3Jlnntmi8ZZlae7cuW53hzbi4511KqkNr2Lo05116pXHWokAgLbLFApnebCfsNRM+wh6CgMAAAAx5zpRW7x48QHHWNaeD/+2bTf+P9CcNzb6wx77yc56nXtIFCcDAIDHmRaa82LrCMk5FK6kUhgAAACIOdeh8IwZMxwfq66u1po1a/TSSy9p9+7duvnmm9W1a1e3u0IbYgqF965Wvv/tpZ/uZLE5AEDbZlpozquVwtkOYXW1w2J5AAAAAKLHdSh88cUXH3DMb37zG1155ZV66qmntGjRIre7QhuxoTKgr0oDIduHd8tQdcDWgi1New1/VlKvoG3LRxU6AKCNqkmgSuEUn6WsFCtkcTzaRwAAAACxF9WF5tq1a6eHH35YW7du1T333BPNXSEJvOXQOuK0npk6smNayPaKeltrd4eGyAAAtBWmSuFMj1YKS+YWEiw0BwAAAMReVENhSerSpYsOO+ww/fvf/47o6z744IMqKChQQUGBPvzww7CfV1tbq3vvvVdHHXVU49wmT56sHTt2OD7n+eef14gRI9StWzcVFRXpggsu0IoVKxzHf/LJJzr//PNVWFiobt266ZRTTtGcOXNa8vbapDcdQuFTe2RqcMd042Of7qyP5pQAAPA0Y6Wwl0Nhw9wqqRQGAAAAYi7qobC0J4jdvn17xF7vq6++0t13362cnJwWPS8YDOriiy/W3XffrQ4dOmjSpEn60Y9+pJkzZ2rUqFHauXNnyHPuu+8+XXXVVdqxY4cmTpyoc845R0uXLtVpp52m999/P2T8okWLGh8799xzNXHiRG3fvl0TJ07U9OnTXb/nZFdVH9SibbUh24d0TFOX7BQd5RgK01cYANB2GXsKe7R9hGQOhaupFAYAAABiznVP4XB98cUXWrt2rbp06RKR16uvr9ekSZN0+OGHq3fv3nr++efDfu6sWbM0f/58nXfeeXrsscdk/bcX7RNPPKEbb7xR06ZN04MPPtg4fu3atbrnnnvUt29fzZ8/X+3atZMkXXHFFRo1apQmT56sZcuWyefbk60HAgFNnjxZPp9Pr7/+ugYNGiRJ+vWvf62RI0fqzjvv1Nlnn63CwsKI/CySycIttao1VDud1jNTktQt26fOWT59X9P04ndFCZXCAIC2y2/oouTpSmFT+4h6FpoDAAAAYs11pfDGjRsdf23YsEEff/yxHn30Uf30pz+Vbds67bTTIjLh++67T6tWrdLDDz+slJSUFj135syZkqRbb721MRCWpIkTJ6pXr1564YUXVFNT07j92WefVSAQ0E033dQYCEvSoEGDNG7cOH3zzTdatmxZ4/ZFixZp3bp1Ou+88xoDYWlPb+Ubb7xRdXV1mj17dovfc1swb5NzP2FJsixLR3YI7Sv8WUm9AkEqjAAAbdP+i7ZJHq8UTgv96ElPYQAAACD2XFcKH3HEEWGNs21bvXr10i233OJ2V41WrFih+++/X7fccosOO+ywFj3X7/fro48+Ur9+/UIqdS3L0vDhw/Xkk0/q008/1fHHHy9JWrx4sSRpxIgRIa83cuRIzZo1S0uWLNHQoUPDGi9JS5YsadG824pvykNLnQ7O9mnQQf8Lggd3TNebm5q2mKgO2Pq2PKAB7UMDYwAAkl2NIVD1dKUwPYUBAAAAT3AdCtt28x/gc3Jy1Lt3b51xxhm69tprlZ+f73ZXkvb0Jd7bNmLy5Mktfv66desUDAbVu3dv4+N7t69du7YxFF67dq1yc3ONrS/69OnTOGavvf+/97F9denSRbm5uSouLj7gXP1+c9VsMqsw9I4oyvGptvZ/IfBAh79Cy7dWqXdWpuNrb6hs0Hvb6/XutnqtLm9Q5yyfrvtBlk7sSpAcL3V1dU3+CyA8HDvYl23bxkrhNAU9+1kiyxfaKqKqPjLz5fgA3OHYAVqO4wZoPY6j6MjMdM7H9uc6FC4tLXX7VFfuuusurV27VgsXLmxx2whJ2r17tyQ1aQOxr72h9d5xe/+/U6dOxvF5eXnG8fu+luk5+453smXLFjU0GBrsJrGK2kyFdDOpr9XGjRsbf9upTpKyQ567ZEOZhqY17S1cFZBe/T5VL29N1bqapq/7dXmD3t1WrwsOrtd1veqV2fK/ToiQSC5ACbQlHDuQJH+DZDov1ldXaOPGXTGfTziC/jRJTb+UraoPNjnftxbHB+AOxw7Qchw3QOtxHEVOSkqKYzGsSdQXmouE5cuXa/r06Zo6daoGDBgQ7+lEXbdu3eI9hZgLfFIqqWn1UPvcTPXs2bnx9z0ldfuiVFuqm457a2e6xh16kIZ1TdNXZQ16bl2tZq2tVeUBehQ+tzVNK6oz9ehxuRrQPiEOhaRRV1en7du3q0uXLkpPT4/3dICEwbGDfZXWBiWFfknfuX2+evYMDYu9oPPOKmlb06rgOttS1+49lOZrXdsLjg/AHY4doOU4boDW4ziKP88nYYFAQJMmTdLAgQN1ww03uH6dvdW75eXlxsdNVb75+fmOlb0VFRXG8fu+luk5BQUFB5xrS0q9k0WtYeHx3PTUkJ/FkR3TtWVD04vJ8npbFy2sUI/cFG2sbFmF9TflDRo9b7f+dXoH/bhzRovnjdZJT09vk3/fgdbi2IEkBR3uKsrLSPPs3492mXWSQltFNKRkKC/D9frHTXB8AO5w7AAtx3EDtB7HUfy4/vRdU1Oj9evXq6SkJOSx+fPn66KLLtLJJ5+sm266STt37nQ9wcrKSq1du1aff/65OnXqpIKCgsZfs2fPliSNGjVKBQUFeu211xxfp1evXvL5fI49ffdu37cfcJ8+fVRZWWksZTf1Dzb1Gd5r+/btqqysbFEZd1tiWign07B6+rCDzcGtLbU4EG7cd4OtaZ9UuHouAADx4ne4I8bLC83lOsyt6gB39wAAAACILNeh8COPPKKjjjpKr7zySpPtc+fO1fnnn68333xTn332mZ588kn95Cc/UVVVlav9ZGRkaMKECcZfe0PYM844QxMmTFBhYaHj62RlZWnIkCFavXq1NmzY0OQx27b1zjvvKCcnR0ceeWTj9qFDh0qSFixYEPJ68+fPbzLGzXjs4bRQTqbhwnF8v2wN6eh+gThDzixJ+vD7ugMunggAgJdUG86dkvlLVa/ITjPPrTpguGUIAAAAQNS4DoUXLlwon8+nc889t8n2u+++W7Zt66yzztJdd92lfv36ac2aNXrsscdc7ScrK0vTp083/vrxj38sSbrxxhs1ffp0DRo0SJL07LPPqqCgQJMmTWryWpdeeqkk6Y477mgSAD755JNav369zj//fGVlZTVuHz9+vFJTU3X//fc3aTuxcuVKvfTSSzr00EN13HHHNW4fNmyYevXqpRdffFErV65s3F5eXq4HHnhA6enpuvDCC139HJJZfVAKGq5rswwXtTlpPs09vaPGHZIV+gQHx3VJ1yMnFOjrC7pq6Tmdjf2DaxpsfV/DBSkAIHE4VQpne7hSOCfV/NGzqp4vZgEAAIBYct1TeN26derUqZMOOuigxm2rV6/WqlWr9MMf/lBPPfWUJOn000/XkCFD9Nprr2nKlCmtnW9YgsE94V5qatO3d/HFF2vOnDl68cUX9d1332no0KEqLi7Wq6++qqKiIv3ud79rMr5v376aOnWqpk2bphNOOEFnnXWWKisr9fLLL0uSHnroIfl8/7u4SU1N1V//+leNGzdOo0eP1tixY5Wbm6u5c+dq48aNuvPOO1VUVBTld594TFXCkvPtrzlpPv1jWHsN7pim2z7abQyUM1Kkc3pladKAXA3u+L+G5Qdnp2jSgFxdv6Qs5DnrKwLqkp3i6j0AABBrTudPT1cKO5zbD7Q4LAAAAIDIcl0pvGvXLh188MFNti1btkySdNZZZzVuO+SQQ9S7d2+tXr3a7a5a7Ouvv5YkjRs3rsl2n8+nWbNmaerUqdq5c6ceeeQRffDBB5owYYLmzZunjh07hrzWL3/5S/39739Xx44d9cQTT2jOnDk67rjj9Oabb+rYY48NGX/SSSfpjTfe0DHHHKM5c+boiSeeUOfOnfXEE0/o+uuvj84bTnCmfsKSuVJ4L8uydP0P8zTn1I4a+N/K37w0S+f1ztJTJx+ktRcdrL+ddFCTQHivXnnm70K+c9mTGACAeHA6f3q6UtihfYRT1TMAAACA6HBdKRwMBuX3N109evny5bIsKyQsbd++fUgf30h49NFH9eijj4ZsX7p0qYYMGaKTTz455LGMjAxNnTpVU6dODXs/P/3pT/XTn/407PFDhgzRiy++GPb4ts7vVOkUxkXtsG4ZWnx2Z1UGbOWmWrKsAz+nV565Gnh9ReCAzwUAwCtac/6MF6cq5mpCYQAAACCmXIfC3bp10/r161VZWanc3FzZtq0FCxYoLS1NP/rRj5qMLS8vV/v27Vs92XBUVFTo888/19NPPx2T/aH13FQK78uyLOU5VB6ZdMtOUZpvTy/jfa2voFIYAJA4nILUcM+f8eBUxezUCgMAAABAdLhuH3HiiSfK7/frV7/6lb788ktNmzZNW7du1QknnKDMzMzGcTU1NVq3bl1Iq4loycvLU0lJicaMGROT/aH1HEPhKFU6pfgs9cwJrRamUhgAkEicWi5E6/wZCU5zc/osAAAAACA6XFcKT5kyRXPmzNFzzz2n5557TpKUkpKim266qcm4t99+W4FAQD/+8Y9bN1MkrXgslNMrL1XF+1UGb6CnMAAggVS3cKFWL3CqYqZ9BAAAABBbriuFDznkEL322ms6/fTT1bdvXw0fPlwvvfSSjj/++CbjXnrpJeXn52vEiBGtniySk1NPxGhe1JoWm9tc1aBabl8FACQIx0rhBGwf4fRZAAAAAEB0uK4UlqRBgwZp1qxZzY556qmnWrMLtAGxbh8hmRebsyVtrAyob7u0qO0XAIBIcTp/enmhOadzO5XCAAAAQGy5rhQGIqW1C825UWSoFJZYbA4AkDic2i95uVLYaW70FAYAAABii1AYcRePnsJFuaGVwpL0XSWLzQEAEoOp5UKaT0r1eTcUTvFZyjCcggmFAQAAgNgiFEbcxWP1dFNPYYlKYQBA4jC1XPDyInN7maqFqwPBOMwEAAAAaLsIhRF38VhoriDDp4L00NdfX0GlMAAgMZi+VPVy64i9TIvNOd01BAAAACA6CIURd06Ly0T7wtbUV5hKYQBAoqg2BKmJUClsag9F+wgAAAAgtgiFEXdOlcLR7CksSb3yQpsaflcRkG1zYQoA8L5ErRQ2BddOXxADAAAAiA5CYcSdqTrIkowL0URSr9zQSuHd9bbK6rgwBQB4n+n8mQiVwsb2EYTCAAAAQEwRCiPuTJXCWamWLCvalcJOi83RVxgA4H2mPrzRvssmErJSQz9+EgoDAAAAsUUojLgzXQjG4qK2yNA+QiIUBgAkhkStFDbNkYXmAAAAgNgyl0qGYcmSJWGPTUlJUV5engoLC5WXl+d2l0hSpgvBWPREdKoU/o7F5gAACcB4p00CVApns9AcAAAAEHeuQ+ExY8a0+PZ+y7L0wx/+UFdddZXGjx/vdtdIMqaFcjJd/80MX4+cFPksKbjf7qkUBgAkgmSqFK6mUhgAAACIKdftI3r06KEePXooNTVVtm3Ltm3l5ubq4IMPVm5ubuO2tLQ09ejRQ+3bt1cwGNTKlSt1/fXX6+qrr47k+0ACM10ImvoNRlp6iqXuOaEtJNZXUikMAPA+4502CRAKs9AcAAAAEH+uk7fPP/9cZ599tmzb1pQpU/Tpp59qw4YN+vLLL7VhwwatWLFCN9xwg2zb1tlnn621a9dqzZo1+v3vf6/09HS98MILeuWVVyL4VpCoTJXCWeZ2vxHXK9cQClMpDADwONu249aTv7VMwXV9UKrf/9YdAAAAAFHjOhSePXu2ZsyYoenTp+u2225Tr169mjxeVFSkW2+9VX/96181Y8YMzZo1Sx06dNCNN96oe+65R7Zt65lnnmnt/JEE4rl6epGhr/DGygYFuDAFAHhYbYNkOlOZqnC9xqmamWphAAAAIHZch8KPP/64Dj74YF144YXNjrvwwgt18MEH6/HHH2/cdskllygvL0+fffaZ290jiZgqhWN1UWtabK7BljZX0UICAOBdpkXmpASpFHaYI6EwAAAAEDuuQ+FvvvlGBx98cFhju3btqm+//fZ/O/X51LdvX5WXl7vdPZKIsVI4ZqGwuU/FN2W0kAAAeFe1Q4Ca0JXCLDYHAAAAxIzrUNiyLK1du1aBQPPhWSAQUHFxsSyr6QVAQ0ODcnJy3O4eSSSePRH75odWCkvSvM3+mOwfAAA3ErlS2Cm4dgq6AQAAAESe61D4qKOOUnl5uf74xz82O+6uu+5SWVmZhgwZ0rgtGAyquLhYnTt3drt7JBHTha3TraWRdvhBaeqQEXoYvLnRL9vm4hQA4E1OrRacqnC9xOkcb2onBQAAACA6XIfCU6ZMkW3beuihhzR27FjNmTNHa9as0bZt27RmzRq98sorGjdunB588EFZlqUpU6Y0PnfBggWqrKzUscceG4n3gAQWtG35De17Y3VRm+KzNKpHRsj2DZUNWkULCQCARzm1WkiIUNipUpj2EQAAAEDMmO+dD8PJJ5+sP//5z/rNb36jd955RwsXLgwZY9u2UlNTdffdd2vYsGGN28vKynTddddp7NixbnePJOF0+2ssL2pP75mlf66tCdn+5ka/ftA+LWbzAAAgXE6VwoncPoKF5gAAAIDYcV0pLElXXnmlFi5cqAsuuEAdO3aUbduNvzp27KgLL7xQCxcu1JVXXtnkeeedd57uvPNOHXnkka2aPBKf062isbyoHdE9Q6br0zc30VcYAOBNTgFqIi80R09hAAAAIHZcVwrvNXDgQP3f//2fJKm8vFxVVVXKyclRu3btWj05JL8aQ+sIKXY9hSUpP92noV0z9O7W2ibbP/i+Trv8DTooMyVmcwEAIBxO7SMSoVLY6RxPpTAAAAAQO62qFN5fu3bt1K1bNwJhhK0mEDRuj3VPxNN6ZoZsC9rSvM21htEAAMRXIlcK0z4CAAAAiL+IhsJASzlVCmfG+KL2dEMoLO3pKwwAgNc49eSP9fnTDRaaAwAAAOKv1e0j1q9fr7feekvFxcWqrKyUbZs/0FuWpYcffri1u0OSceopHMv2EZLUOz9V/dul6tvyQJPtb2/2qz5oK83n/YtsAEDb4dR/N9bnTzecQmEqhQEAAIDYaVUofOutt2rGjBmNQbBTICwRCsPMqSdirNtHSHtaSHxbXtlk2+46W8u21+mkgzNiPh8AAJw4VQrH4/zZUs49hc0tpQAAAABEnutQ+LHHHtP06dMlSQMGDNCPf/xjderUST4fHSkQPqeqoHhUOp3WM1PTv6gM2f7WRj+hMADAUxzPn4kQCju1j6BSGAAAAIgZ16HwU089JcuydOutt2rKlCkRnBLaEi/1RDy2c7rapVsqr2s6p89K6mI+FwAAmuOlL1VbymdZykyR/PutK+D0mQAAAABA5Lku6y0uLlbHjh0JhNEqXrqoTfVZGtIxPWT7/n2GAQCIN1OAmmrtOZclAlO1MJXCAAAAQOy4DoWzsrLUs2fPSM4FbZDXeiL2axdaPL+9JqiyWvocAgC8wxSgZidA64i9slNCP4Ky0BwAAAAQO65D4aOPPlrr169vdnE54ECcqoIy43T766EFacbtq6kWBgB4iOlL1Xi0XnLL9OUvoTAAAAAQO65D4RtuuEFlZWX6+9//Hsn5oI1JhEphSfq2vD7GMwEAwJnpS9VE6Ce8l7F9BD2FAQAAgJhxHQofd9xxmj59um6//XZNmTJFn3/+uWpqaiI5N7QBTlVB8asUdgiFy6gUBgB4h+lL1Xh9oeqGqdUFlcIAAABA7JgTsDAcdNBBjf8/c+ZMzZw5s9nxlmWppKTE7e6QpLxWKdwp06d26ZbK65rOi8XmAABeYgpQEykUpn0EAAAAEF+uK4Vt227Rr2CQhboQynQBmGpJaXFaPd2yLB3aLrSvMD2FAQBeYjp/xusuGzdMc3VaZwAAAABA5LmuFP7ss88iOQ+0UTUevP21X0Gqlu+oa7JtXUVAdQ220hPoghsAkLxMd9qYWjJ4lbF9BD2FAQAAgJhxHQoXFhZGch5oo/wevP31UMNicw22VFwR0GEFoVXEAADEmqmqNpEqhU3netNnAgAAAADR4bp9BBAJXryo7WcIhSXpGxabAwB4RMJXCtM+AgAAAIgrQmHElXH19DiHwv0NPYUl+goDALwj0XsKmyqFA7ZUHyQYBgAAAGIhrPYR9957rySpQ4cOuvLKK5tsa4mbb765xc9BcjOFwplxrnQqyktRuk+q229txG/L6uMzIQAA9mHbtrH/brzPny3h1CqqOmCrXXrivA8AAAAgUYUVCt9zzz2yLEv9+vVrDIX3bguHbduyLItQGCFMlU7xvv011WepT36qvt6vXcS3VAoDADygLiiZCmpNLRm8yulcXxOw1S49xpMBAAAA2qCwQuELL7xQlmWpa9euIduA1vDq7a/9C0JD4dXlAQVtWz7+3gMA4sh07pQSrFLY4Vzv9N4AAAAARFZYofCjjz4a1jagpYy3v3ogFO7XLk2Sv8m2qoCtLVUN6pEb1mEDAEBUmM6dUvzvtGmJ5tpHAAAAAIg+FppDXBkXmvPARe2h7czBLy0kAADx5neqFPbAl6rhcmwf4RB4AwAAAIgsQmHElenC1guhcD9CYQCARzkFp144f4bLKcCmUhgAAACIDUJhxJXp4s+pz2AsOYbCZYTCAID4cuq764XzZ7iaW2gOAAAAQPSF1Rz1iCOOaPWOLMvSihUrWv06SB6BoC3TtZ8Xbn/NSfOpR06KNlU1NNn+bXl9nGYEAMAeyVAp7DRXU1spAAAAAJEXVii8YcOGVu/IshLnQgWx4XRR65XV0w8tSDWEwlQKAwDiy7FS2CPnz3Cw0BwAAAAQX2GFwq+++mq054E2yGmhHK+snt6vXarmb65tsu37mqDKaoMqyKDzCgAgPpxCYS/caRMu2kcAAAAA8RVWKHzCCSdEex5og5yqgbxyUevUV3h9RUCDM9JjPBsAAPZwutPGK1+qhsOp/3F1IBjjmQAAAABtE+WOiBunvoFeWSinV545FP6ussG4HQCAWHC608YrX6qGg0phAAAAIL4IhRE3Xu+J2CvXuVIYAIB4SY6F5swfQZ3eGwAAAIDICqt9xJIlSyKys6FDh0bkdZAcvH5R2zM3RT5LCu43TUJhAEA8OX6pmkCVwpkp5u0sNAcAAADERlih8JgxY2RZrbvQsCxLJSUlrXoNJBev3/6anmKpe06KNu7XLmJdBe0jAADx4/UvVcNhWZayUqyQ90L7CAAAACA2wgqFe/To0epQGNif00WtV0JhSeqVGxoKUykMAIgnr7dfCldWKqEwAAAAEC9hhcKff/55tOeBNsipUthLq6f3ykvVe9vqmmzbWNmgQNBWqs878wQAtB2m82eqJaUl2HkpO9XSrtqm2+gpDAAAAMQGC80hbqqdKoU9Fgrvr8GWNlXRQgIAEB+m82eiVQlL5jlTKQwAAADEBqEw4sapUjjLYfGZeOiVZ57Md7SQAADEien86aXWS+EyLYzHQnMAAABAbITVPuJAvv/+e73zzjtavXq1KioqlJeXp/79+2v48OHq1KlTJHaBJJQIPYUPMVQKS3sWmxsW47kAACCZg9NErBQ2tYuifQQAAAAQG60KhWtra/X73/9eTz/9tOrr60MeT0tL08SJE/WHP/xBGRkZrdkVklBi9BQ2Vwqz2BwAIF78pvYRHvpCNVy0jwAAAADix3UoHAwGddFFF2nhwoWybVudOnVSv3791LVrV23btk2rV6/Wjh079Pe//11r1qzRCy+8IMtKvAsWRI9jpbCHQuH2GT7lp1naXd90rusr6CkMAIgPYyjsoXNnuExzpn0EAAAAEBuuQ+FnnnlG77zzjvLz8zVt2jRddNFFSk3938s1NDRo9uzZ+v3vf68FCxbo2Wef1c9+9rOITBrJwakayEvtIyzLUlFeqj7f1bQSnkphAEC8VNUnRyhsbB9BKAwAAADEhOuF5p577jlZlqWZM2dqwoQJTQJhSUpJSdHPfvYzPfXUU7JtW7Nnz271ZJFcTJVOmSmSz2MV5YcYWkisIxQGAMSJ6U4bL7VeCpep5QWhMAAAABAbrkPhL7/8UkVFRRo2rPnltoYNG6ZevXrpyy+/dLsrJCnThZ+XqoT36mVYbK68zlZZbTAOswEAtHXVhkrhRAyFTe2iqhts2TbBMAAAABBtrkPhmpoatW/fPqyx7du3l9/vd7srJClTpZMXb381hcISLSQAAPFR3RD6paQXz58Hkm34IjhoS3V85woAAABEnetQuEuXLlq9erVqamqaHVddXa3Vq1erc+fObneFJOVPmErh0PYREovNAQDiw7QYW04ChsJOQTYtJAAAAIDocx0Kn3jiiaqqqtItt9zS7LhbbrlFVVVVOumkk9zuCkmqxpCperHSyalSmL7CAIBYawjaqk2Q8+eBOLW8MN1JBAAAACCyzGlXGCZPnqwXX3xRTz/9tD788EP9v//3/zRgwAB17txZ33//vb766is9+uij+vrrr5Wenq5f/OIXkZw3kkBNwHD7qwcrhXvmpshn7bmldV+0jwAAxFq1Q2Caner6e/64oVIYAAAAiB/XoXD//v31f//3f7rmmmv05ZdfGkNf27aVmZmpRx99VP3792/VRJF8TJXCpkVn4i3NZ6lHToo2VDadMO0jAACx5hSYJlP7CFN7DAAAAACR1aqyknPPPVeLFi3S+PHj1blzZ9m23firc+fOmjBhghYtWqRzzjknQtNFMjH1FPZipbBkbiFBpTAAINacAtOEbB/hcM6nUhgAAACIPteVwnv169dPDz/8sCRp9+7dqqysVG5urvLz81s9OSQ3v+EWWK9e1PbKS9GirU23bapqUH3QVprPm3MGACQfp1DYqT+vl1EpDAAAAMSP60rh9u3bq1evXqqtrW3clp+fr27duhEIIyymi75EqhRusKVNlbSQAADETjKFws4LzYWuOQAAAAAgslyHwjk5OerTp48yMjIiOR+0IaZKYS/2FJakQ/JSjNtpIQEAiKWq+uQJhVloDgAAAIgf16FwUVGRysrKIjgVtCW2bRsv+hKpUliS1rHYHAAghpyqaBMxFM50OOfTPgIAAACIPteh8NixY7Vu3Tp99tlnkZwP2oi6oGS65PNqT+GeueZK4R1+QmEAQOxUJ1GlsNOcTXcSAQAAAIgs16Hw9ddfr6OPPloTJkzQRx99FMk5oQ1wujXUqWoo3tqlmw+V3XVcuAIAYqfaITDNSnX9kS5unOZMpTAAAAAQfeZ74sNwww03qLCwUJ988olOPfVUHXrooTrssMOUnZ1tHG9Zlh5++GHXE0VyqXG8qPVmKJzms5SVYoXMe3cdi+EAAGLHqVI4x6Pnz+Y4LjRHKAwAAABEnetQeNasWbIsS7a954P7qlWrtGrVKsfxhMLYl9/hgs+rPYUlKT/dUk3NfqFwPaEwACB2Eu1L1eY4nfMJhQEAAIDocx0K33zzzZGcB9qYcocK25w0717U5qf7tL2m6bxpHwEAiKUqh8A0EXsKZ6RIlkLXGKB9BAAAABB9rkPhqVOnRnIeaGN21ZpD4Q6Z3u2JmG8IrGkfAQCIJacq2kQMhS3LUnaqFRJ0EwoDAAAA0efdBA5JrcRvDlMPyvDuX8l8w2Jzux16OwIAEA2mwDTNt6f3fSIyLTDrd2iRAQAAACByvJvAIak5VgpnpMR4JuHLT6dSGAAQX6ZQOBGrhPcy9UKmpzAAAAAQfYTCiIsSh1D4IE+3jzBUCtNTGAAQQ9WB0PNnIofCpkrhWiqFAQAAgKjzbgKHpFZqaB/hs6R2hmpcrzC1j6hpsFUf5OIVABAb1Ya2RQkdCpsqhQmFAQAAgKgjFEZcmCqF26f75LO8e2Frah8h0UICABA71YbANCs1cT/OZRm6RtFTGAAAAIi+xL2KQEIz9RTu4OHWEZK5fYRECwkAQOyYegrnJHKlsKF9BD2FAQAAgOjzdgqHpFViaB9xUIa3/zo6VQqXUykMAIgRU2BqWqwtUZhCYSqFAQAAgOjzdgqHpFVqqBT28iJzkrmnsCTtNvR3BAAgGqoMoXCy9RT2B+IwEQAAAKCN8XYKh6SVkJXCju0jqBQGAMSGqVI4kUPhLFP7CCqFAQAAgKjzdgqHpFQdCBov+Dp4PBRux0JzAIA4M/UUTuRQ2FgpTCgMAAAARF1qOIPOPPNMSVLPnj31yCOPNNkWLsuyNHfu3BZOD8lol6FKWKJ9BAAAzbFt2xgKm6ptE4XTQnO2bcuyEvd9AQAAAF4XVii8ePFiSVL//v1DtoWLD/bYa5ehn7CUAO0jqBQGAMSRU1uFnLTE/YxlCrRtSXVBKSMl9vMBAAAA2oqwQuEZM2ZIkvLz80O2AS2VsKGwY09hKoUBANFn6icsSdmp3j5/NsfUPkLa814zErgCGgAAAPC6sELhiy++OKxtQDic2kd08Hj7iPQUS5kpkr+h6fbd9VQKAwCir8ohFM5K4J7CTq0v6CsMAAAARJe3UzgkpZIErRSWzH2FqRQGAMSCU6VwTgKHwk6VwoTCAAAAQHS5TuGOOOIIXX755WGNveKKKzR48GC3u0KScWof4fVKYcncQoKewgCAWDAtMidRKQwAAACg5VyncBs2bNDWrVvDGrt9+3Zt2LDB1X78fr9uueUWnXHGGTrssMPUpUsX9e/fX6eddpqeeeYZ1dfXh/U6zz77rAoKChx/vffee8bnffLJJzr//PNVWFiobt266ZRTTtGcOXMc97Nt2zZdd911OvTQQ9WlSxcdffTRuu+++8KeZ1tQYmgfYUkqMFTheo1psTnaRwAAYsGpfUR2AofCjpXCDu8VAAAAQGSE1VO4tQKBgHw+d4FfVVWVnnjiCR111FE69dRT1bFjR5WVlWnevHm67rrr9PLLL+vFF18M+/V/8pOf6PDDDw/ZXlhYGLJt0aJFGjdunDIzMzV27Fjl5uZq7ty5mjhxojZt2qTrr7++yfjt27frlFNO0ebNmzVmzBj16dNHS5Ys0bRp0/Txxx9r1qxZsqzEvXCLlFJDpXBBhqUUn/d/NrSPAADEi/NCc94/fzrJdKgUrqFSGAAAAIiqqIfC9fX1Wrt2rdq3b+/q+e3bt9eGDRuUnp7eZHsgENA555yjBQsWaN68eTrttNPCer3Ro0dr/PjxBxwXCAQ0efJk+Xw+vf766xo0aJAk6de//rVGjhypO++8U2effXaTMPm2227Tpk2b9MADDzS21rBtW1deeaVeeuklvfTSSzrvvPPCfetJy1QpnAj9hCUpP81QKUz7CABADDi1j0jGUJhKYQAAACC6wg6FlyxZosWLFzfZtmnTJt17772Oz6mpqdGyZctUUlKiUaNGuZqgz+cLCYQlKTU1VWPGjNHixYtVXFzs6rWbs2jRIq1bt07jx49vDIQlqV27drrxxht1zTXXaPbs2br55pslSRUVFZozZ4569eqliRMnNo63LEu33XabXnrpJT399NOEwjL3FO6QkRKHmbScsVK4ngtXAED0OfYUdghWEwGVwgAAAEB8hB0Kv/fee7r33nubtD/YvHlzs6GwtKdSNjs7WzfddJP7WRoEg0HNnz9fkjRgwICwn7dy5Urt2rVLDQ0NKiws1Mknn6yDDjooZNzeAHzEiBEhj40cOVLSnqB8rw8//FC1tbUaPnx4SIuIwsJC9evXTx988IEaGhqUkpIYAWi0lBhC4fYJsMicZO4pXB2wVR+0lZYA7S8AAImrOmC+MyXHcBdLoshy+CRKpTAAAAAQXWGHwocffrguuuiixt/Pnj1bnTp1agxI92dZlrKzs3XIIYfo7LPPVvfu3Vs10bq6Ot1///2ybVulpaV699139e2332r8+PEaNmxY2K/zt7/9rcnvs7KydPPNN2vKlClNtq9du1aS1KdPn5DX6NKli3Jzc5tUKO8d37t3b+N+e/furdWrV2vjxo3q1atXs3P0+/0HehsJbZe/IWRbQaqdEO872zJfkO+oqEmYFhheUFdX1+S/AMLDsdO27a4xL1rrC9TJbzi3JgJfQ8C4fbe/Tn5/y86rHB+AOxw7QMtx3ACtx3EUHZmZmWGPDTsUHj16tEaPHt34+9mzZ6t379565JFHWjY7l+rq6ppUJVuWpeuvv1633XZbWM8vKirSn/70J40cOVLdunVTaWmpFi1apDvuuEO33367srKydPXVVzeO3717tyQpPz/f+Hp5eXmNY/Yd365dO+P4va9TXl5+wLlu2bJFDQ2JeXF3ILVBqSqQHbI9ta5SGzeWxmFGLdNQlSoptJ3JNxu2qEcmVU0ttX379nhPAUhIHDtt09Zd5nNQ6fYtCqbFfj6RUFptScoK2b51Z6k2ppkD4wPh+ADc4dgBWo7jBmg9jqPISUlJcSxWNXG90Nxnn33WovS5tXJzc1VWVqZgMKitW7fqjTfe0B133KEPP/xQzz//vGN4u9cJJ5ygE044ofH3WVlZuvDCC3XEEUdo+PDhuueee3TFFVcoNTXqa+8dULdu3eI9hajZWt0gqSxke6+O7dSzZ+hFodcU1vuldVUh23M7dFXPg+L/dydR1NXVafv27erSpYuxZzgAM46dti29pEpS6F01/Yp6KCNB+wpbVQ3SJ2Uh27PyC1r8uYDjA3CHYwdoOY4boPU4juLPdYpVWFgYyXmEzefzqXv37rriiivUoUMHXXbZZbr//vv1hz/8wdXr/eAHP9Cxxx6rhQsX6ptvvtHAgQMl/a+yd99q4H1VVFSooKCg8fcHqgQ+UCXxvmIZtsdaVbX51tfOOekJ8b47ZNuSQkNhv5WmzMyM2E8owaWnJ8afO+A1HDttU60hEPZZUn52Zsh6BomiQOY7owJWquu/4xwfgDscO0DLcdwArcdxFD8RKW2sqKjQunXrVFlZKdt2voV+6NChkdhdo+HDh0v636JwbnXo0EGSVF1d3bhtby/htWvXavDgwU3Gb9++XZWVlTrqqKNCxu/bZ3hfxcXFSk9PV48ePVo110RX4jf35D0oQRaaa2dYaE6SdteZ3xcAAJFSY1h8LSfVSthAWJIyHSqcWWgOAAAAiK5WhcIrVqzQ7373Oy1btqzZMFja0wO4pKSkNbsLsW3bNklSWpr7RnoNDQ369NNPJUk9e/Zs3D506FA98MADWrBggcaNG9fkOfPnz28cs9fRRx+t9PR0vfPOO7Jtu8kF2oYNG7R69WqdeOKJnmhPEU+ltQ6hcIIs0pafbp7n7nouXgEA0VVtCEqzUhM3EJakLIdQuKaB8yoAAAAQTa6TuBUrVmj06NFaunSpgsGg0tPT1a1bN/Xo0cP4q3v37q72s2rVqiYVvHtVV1frt7/9rSRp1KhRjdufffZZFRQUaNKkSSHz3V9DQ4Nuv/12FRcX68QTT1TXrl0bHxs2bJh69eqlF198UStXrmzcXl5ergceeEDp6em68MILG7fn5+dr7NixWr9+vZ588snG7bZt64477pAkXXrppS1898mnpNZ8m2iHBKkUzk9zCIWpFAYARJkpFM5O8FA4xWfJdGr1EwoDAAAAUeW6bPXuu+9WdXW1jjnmGN1777064ogjIjmvRnPmzNEjjzyiY489VoWFhcrLy9OWLVv09ttva9euXTruuON0zTXXNI4PBveEc/tX5J588skaOHCgBg4cqG7duqm0tFRLlizRmjVr1L17d02fPr3J+NTUVP31r3/VuHHjNHr0aI0dO1a5ubmaO3euNm7cqDvvvFNFRUVNnnP77bdr8eLFuummm7Rw4UL17t1bS5Ys0YcffqjTTz89pOK4Ldrl1D4iYSqFaR8BAIgPYyicoAvM7SsrxVJ9sOl7IxQGAAAAost1KPzBBx8oMzNTs2fPVvv27SM5pyZOP/10bdu2TcuXL9fy5ctVVVWl/Px8DRw4UOPGjdPPfvazJgHw119/LUkhAex1112njz76SAsXLlRpaanS09N1yCGH6Je//KWuu+66JovG7XXSSSfpjTfe0N133605c+aovr5eAwYM0B/+8AeNHTs2ZHzXrl319ttva9q0aXrrrbf0xhtvqGfPnvrtb3+ryZMnJ3TPv0gpcWgf0T5hQmHaRwAA4qM6EHoOzU5L/M8WmalWyHmUnsIAAABAdLkOhevq6tSvX7+oBsKSdOSRR+rII48Me/zSpUs1ZMgQnXzyyU22T5s2zdX+hwwZohdffDHs8V27dtXDDz/sal9twS5DKJyfbinNlxgXtRkpljJSpP27YFApDACINmNP4SSoFDYtNkdPYQAAACC6XIfChxxyiLHXbzxVVFTo888/19NPPx3vqcCBqX1EhwSpEt4rP82nHQ1N38fuOi5eAQDRZWwf4dDrPpGYQmEqhQEAAIDocn0lcfHFF6u4uLjJImzxlpeXp5KSEo0ZMybeU4EDU6VwovQT3svUV3h3PZXCAIDoqknSnsJUCgMAAACx5zqNmzRpkoYPH65LLrlEH3zwQSTnhCRWYqoUzky0UDh0vrSPAABEm7lSOPFD4axUQ6UwoTAAAAAQVa7bR1x//fXq2LGj3nvvPZ1xxhkaOHCg+vbtq+zsbON4y7LotQuVJkOlsOFWXdpHAACiybZtcyicpJXCtI8AAAAAost1KDxr1ixZliXb3vOh/YsvvtAXX3zhOJ5QGHUNdsjq4pJ0UMJVCtM+AgAQW3VByVQ8m22osk00mYb3QPsIAAAAILpch8I333xzJOeBNsBUJSxJHTJSYjyT1jG3j+DiFQAQPaZ+wlKStI+gUhgAAACIOdeh8NSpUyM5D7QBJQ6hcOK1jwi9eK0K2AoEbaX6Ev/iHADgPVVOoXBStI8I3UalMAAAABBdiZXGIaHtcgqFE659hHm+FYbWGAAAREJNwHwOTYpKYRaaAwAAAGIuYmmcbdsqKSnRxo0bI/WSSDIl/iSpFHYIhcvr6CsMAIgOp0phU+uFRGNaaK62QQraBMMAAABAtLQ6jVu6dKkuuOAC9ejRQ/369dPgwYObPP7ggw/q2muvVWlpaWt3hQTn2FM40SqFHaqydhMKAwCipNohFM5JS6xzqImpUliiWhgAAACIplZdSUyfPl1nnnmm3nrrLVVXV8u2bdn7VXXk5uZq9uzZ+s9//tOqiSLxJXul8G7aRwAAosRpoblkrRSW9lQLAwAAAIgO12nc0qVLddtttykzM1PTpk3TypUrdcwxx4SMGzNmjGzbJhSGTuuZqYeOL9BtQ/J13cBcXdw3W6f1zEy4ULhdOpXCAIDYclxoLhl6CjuEwk5BOAAAAIDWS3X7xBkzZkiSHnroIZ133nmSJMsK/VDftWtXHXzwwVq5cqXbXSFJ/PCgNP3woLR4T6PV8h1u1d1dx8UrACA6nALS7GSoFKZ9BAAAABBzrks0P/zwQ7Vv374xEG5O165d9f3337vdFeAp+VQKAwBizKmncDJUCmdQKQwAAADEnOtQuKysTD179ozkXICEQE9hAECsOYXCydBT2Ok9UCkMAAAARI/rULigoEBbtmwJa+y6devUqVMnt7sCPMW5fQSVwgCA6HAKhXOSoFLYqX1EDaEwAAAAEDWuQ+EjjzxSO3fu1IcfftjsuDfffFNlZWX68Y9/7HZXgKdkployFQsTCgMAoqUmYD7HZDsEqonEsVKY9hEAAABA1LgOhcePHy/btjVlyhRt3rzZOObbb7/VjTfeKMuyNGHCBNeTBLzG1EKC9hEAgGipcghIM5OgfQSVwgAAAEDspbp94llnnaUzzzxTr776qo4//niNGjVKmzZtkiTdc889+vLLL/XWW2+prq5OP/3pTzVs2LCITRqIt/w0Szv9TbdRKQwAiBbTomvZqZZ8VuKHwlQKAwAAALHnulJYkv7xj3/o8ssvV2VlpV566SVt2rRJtm3rT3/6k1577TXV19fr0ksv1cMPPxyp+QKeYKwUruPiFQAQHaaewsmwyJzkXO1MpTAAAAAQPa4rhSUpPT1d999/vyZNmqR//etf+uKLL1RWVqacnBwNGDBA55xzjgYMGBCpuQKeYW4fQaUwACA6TKFwdhIsMidJWQ7tI6gUBgAAAKKnVaHwXn379tVNN90UiZcCEkKe4UK8kp7CAIAoMYbCSV4p7KdSGAAAAIiaVrWPANoq02rvpn6PAABEQlusFKZ9BAAAABA9hMKAC6YLWC5eAQDR0hZ7CtdyXgUAAACiplXtI8rKyjRjxgy99dZbWrdunSorKx3HWpalkpKS1uwO8AzThXh1wJZt27KSYCV4AIC3VAdC+9bnOFTYJprMFPN27sABAAAAosd1KLxx40adccYZ2rJli2z7wB/awxkDJApT+whJ8jdIWRHp1A0AwP+YAlKntguJxrIsZaRItQ1Nt9NTGAAAAIge1/HVbbfdps2bN6tHjx6aPHmyjjzySHXs2JEqSbQJTqFwdSCorFSHkicAAFyqMvUUTpJQWNrTQmL/dhFUCgMAAADR4zoUfuedd5Senq5XX31VvXr1iuCUAO9zqs6qDtjqEOO5AACSnykgzU5NnqUhslIslavpe/Q3OAwGAAAA0Gqurybq6+vVr18/AmG0SU4X4lQ1AQAiLRC0VRfaUji5KoVZwBUAAACIKdehcN++feX3+yM5FyBhNFcpDABAJDmdW7LTkicUNi3g6uecCgAAAESN61D40ksvVXFxsT766KNIzgdICE7VWVQ1AQAizTEUNgSpicpUKcxCcwAAAED0uA6FJ06cqHPPPVcTJkzQ3LlzIzknwPNMFU0S7SMAAJHndG5JqvYRhvMq51QAAAAgelwvNCdJjz/+uC699FJddtllKigo0CGHHKLs7GzjWMuyCI+RNJxu2TWtDg8AQGs4nVtM1bWJytg+gkphAAAAIGpch8J1dXW67LLL9MYbb8i2bZWWlqq0tNRxvGUlz4UL4HTLLlVNAIBIq3UIR5OqUpiF5gAAAICYch0K/+lPf9J//vMfpaamasyYMRo8eLA6duxI+Is2wWmhOUJhAECkOYWjGUnUU5iF5gAAAIDYch0Kv/DCC/L5fHr++ec1fPjwSM4J8DynUNhpMSAAANxyCked+tsnIhaaAwAAAGLL9UJz33//vYqKigiE0SY53bLLra4AgEhzOrfQUxgAAACAW65D4S5duig3NzeScwESBpXCAIBYaROVwob3Uh+UGoKcVwEAAIBocB0KjxkzRl9//bW2bdsWyfkACcFpobnqQDDGMwEAJDunillTkJqonN4Ld+AAAAAA0eE6FL755pvVp08fTZw4UVu3bo3knADPS/FZykgJ3c5CcwCASGsTobDDHTi0kAAAAACiw/VCc4888ohGjBihf/zjHxoyZIhGjhyp3r17Kzs72/E5N998s9vdAZ6TlWKpdr+LVdpHAAAizal9RDL1FM40fNEq8WUrAAAAEC2uQ+F77rlHlmXJtm3V19frtddek2WZL05s25ZlWYTCSCrZqZbK6pperHLxCgCINKcWClkOQWoicurVT6UwAAAAEB2uQ+ELL7zQMQQG2gLTBSyhMAAg0va/K2Wv5KoUdugpzHkVAAAAiArXofCjjz4ayXkACScr1Sepocm2aiqaAAAR5lQpnEw9hbMc3guVwgAAAEB0uF5oDmjrcgwVWvQUBgBEmj8Qui3dJ/mS6I4tp6rnGsN7BwAAANB6hMKAS7SPAADEgqlSOJlaR0hUCgMAAACx5rp9xL52796tdevWqaqqSrbt/OF96NChkdgd4AmmC1gqhQEAkeY3nFucQtRE5RRyEwoDAAAA0dGqUHj58uW67bbb9MEHHxxwrGVZKikpac3uAE/JplIYABADpmA0mfoJS84hN+dVAAAAIDpch8JLlizRuHHjVFdXJ9u2lZmZqY4dO8pKov52QHNoHwEAiAVTKGw6ByUyp0rhWiqFAQAAgKhwHQpPmzZNtbW1GjFihP74xz/qsMMOi+S8AM8zXZBXN9iybZsvRwAAEWMKhTOSrFLYqfLZ1E8ZAAAAQOu5DoVXrlypvLw8PfPMM8rKyorknICEkGMIhYO2VNsgZUakWzcAAOa7UJKup7DTQnPcgQMAAABEhc/tEzMyMtSnTx8CYbRZTrfuUtUEAIgkY0/hZGsfQaUwAAAAEFOuQ+HBgwdr69atkZwLkFCyHS5gq6lqAgBEUJtYaM4h5KZSGAAAAIgO16Hw5MmT9f333+uZZ56J5HyAhOFYKRwIxngmAIBkZgpGk619RLpPMr0jKoUBAACA6HAdCg8bNkx/+tOf9Otf/1q//vWv9eWXX6qmpiaScwM8zSkUplIYABBJpmA0IyUOE4kiy7KM51VTlTQAAACA1mvVcljjxo3TggUL9I9//EP/+Mc/mh1rWZZKSkpaszvAU7IdK4W5gAUARI4pGHX6YjKRZaZYIV+s0j4CAAAAiA7XofDmzZs1evRobdiwQbZ94A/s4YwBEkl2qrnQnkphAECkBG1btQ2h25Otp7BkbolB+wgAAAAgOlyHwnfccYe+++47FRYW6he/+IUGDx6sjh07yrKS7yIFMKF9BAAg2kyBsJSklcKGT6VUCgMAAADR4ToUXrhwodLT0zV37lwVFRVFck5AQnBsH0FVEwAgQpx66iZjpbDpPXFOBQAAAKLD9UJzlZWV6tevH4Ew2iynld+pFAYARIpTn/pkDIVZaA4AAACIHdehcO/eveX3+yM5FyChsNAcACDa2nylMOdUAAAAICpch8ITJkxQcXGxPv7440jOB0gYTv0cuYAFAESKY6VwEvYUNt2B49RTGQAAAEDruA6Fr7rqKo0bN04/+9nPNHfu3EjOCUgITpXCVYTCAIAIqXWoFHZqYZTITEE37SMAAACA6HC90NyZZ54pSSopKdFll12mgoICHXLIIcrOzjaOtyyL8BhJhUphAEC0OS20loyVwrSPAAAAAGLHdSi8ePHiJr8vLS1VaWmp43jLSr6LF7RtaT5LaT6pPth0OyulAwAipa33FKZSGAAAAIgO16HwjBkzIjkPICFlpVqqr2t6wVpNVRMAIEIcewonYyhsqH6uabBl2zbFBQAAAECEuQ6FL7744kjOA0hI2SmWdqvpBTu3ugIAIsWpUtaphVEiyzYE3UFbqgtKGSlxmBAAAACQxFwvNAfAfFFeEwgaRgIA0HJtqX1Edpr5PXEHDgAAABB5riuF9xcIBLRhwwZVVFQoLy9PhYWFSk2N2MsDnpRtCIWruHgFAESI3+GckpWMobBD9XNVfVDtM6hjAAAAACKp1antJ598oj//+c9699135ff7G7dnZmZq+PDh+uUvf6kjjzyytbsBPMl0AUv7CABApDgtXpqM7RRyUs3BL5XCAAAAQOS1quzi6aef1mmnnaY333xTNTU1sm278VdNTY3+/e9/69RTT9XMmTMjNV/AU7IMF7CEwgCASHGsFE7GnsJOlcKcVwEAAICIcx0Kf/bZZ7rpppsUCAR07LHHatasWVqxYoW2bdumFStWaNasWTruuOMUCAR044036rPPPovkvAFPMF2UVztUdQEA0FJtqqcwoTAAAAAQM65D4YcfflgNDQ267rrr9O9//1tnnHGGioqKlJGRoaKiIp1xxhn697//reuvv14NDQ2aMWNGJOcNeIJppXQqhQEAkeJvMG9PxkrhXKeF5uo5rwIAAACR5joUXrp0qdq1a6dbb7212XG///3vlZ+fryVLlrjdFeBZpotyQmEAQKSYKoXTfZLPSr5Q2KlSmJ7CAAAAQOS5DoV37NihPn36KC0trdlxaWlp6tu3r3bu3Ol2V4Bn5RguYKsCe/pqAwDQWqYvGpOxdYTUXPuIYIxnAgAAACQ/16Fwbm6utm/fHtbY7du3Kycnx+2uAM8yVQo32FI9168AgAgwVQpnJmHrCEnKMSzeKlEpDAAAAESD61B40KBB2rJli/797383O+7111/X5s2bNWjQILe7AjzLqacjF7AAgEgwhsLJWins0FO4ip7CAAAAQMS5DoV/9rOfybZtXXXVVXr44YdVXV3d5PHq6mpNnz5dV199tSzL0oQJE1o9WcBrnG51rXFYLR7R8XVpveZt8mtLlcOKTACQoPyGLxmzkjUUdmwfwTkVAAAAiLRUt08877zz9Oqrr2ru3Lm69dZbddddd6mwsFCdO3fW999/rw0bNsjv98u2bZ199tkaN25cJOcNeILThTmLzcVGIGjr5g/K9cSqKtmSclMt/fm4Al3UNzveUwOAiDB9yZiRpKGwqU+/xN03AAAAQDS4rhSWpCeeeEI333yzcnNzVVNTo2+++UbvvfeevvnmG9XU1Cg3N1dTp07V448/Hqn5Ap5C+4j4qQ/auvLdUj3+30BYkioDtq55r1Rz1lU3+1wASBSm9hFO555El+qzlJESur2aheYAAACAiHNdKSxJKSkpmjp1qn7xi19o2bJlWr16tSorK5Wbm6v+/fvr2GOPVXY2FXtIXs5VTVzARlNdg62JC3fp9Q3+kMdsSVctKlV+uk8ju2fGfnIAEEGm9hHJ2lNY2tNCona/IJz2EQAAAEDktSoU3is7O1sjR47UyJEjI/FyQMJwqtZqC+0jtlU36J5Pd+ur0oAO75CmmwfnqXOWocQrwmoCti5buEtvbgwNhPeqD0oTFuzSv07rqB91To/6nAAgWowLzSVppbAk5aT6VFrbtD98NQvNAQAAABEXkVAYaKucFsVJ9vYRgaCtC98u0YqSeknS8h11+nJXvV4/o6NSfNELK8pqg7pofomWba874NjqgK2fvr1T753VWT1y+acOQGIyto9I8krh/VEpDAAAAESe657CS5cu1Zlnnqknnnii2XGPP/64zjzzTH3wwQdudwV4VlutFH5jo78xEN7r/e/rtGBLbdT2ubW6QT/5z46wAuG9Smtt3bC0TLad3H8eAJKX6Xxi6rubLEyhcLJ/0QoAAADEg+tQePbs2VqyZIkGDx7c7LjBgwdr8eLF+uc//+l2V4BnZaWaD6FqQ2VXMnl5XY1x+6zV0VngbX1FQKe+vkNflQaMj+enWzq9p7l/8LzNtXpurXm+AOB1ba1SOCeNSmEAAAAgFlyHwh988IHy8vJ01FFHNTtuyJAhys/P1/vvv+92V4BnZTtcmCdzpXBVfVBvOPTzfX1DjcpqI7vIXtC2dfWiUm2sbDA+XpBu6V+nddQzIw7SGQ7B8G+Wl+n7GvPzAcCrbNuW3/BPV3L3FDZUCtezeCsAAAAQaa5D4a1bt6qoqCissYWFhdqyZYvbXQGelW2oaJKS+1bXNzb6Hd9fXVB6aV1kq4WXba/TB9+bW0Z0z07RG6M76ciO6Ur1WXrkxPbqnBX6z1ppra1fvV8W0XkBQLTVOnyXlcyVwtmGO3CS+ZwKAAAAxIvrUNi2bQWD4VVu2Lat+vr6Aw8EEozThXkyX8C+5NA6Yq/ZayIbCs9x2N+h7VL15uiOOqwgrXFb+wyf7ju2wDj+X+v9eu072kgASBym1hFSclcK01MYAAAAiA3XoXD37t317bffqry8vNlx5eXl+vbbb3XwwQe73RXgWaaLVyl520eU1Qb19iZz64i9PtpRr2/KIvMlUCBo61/rQ4PcgnRL//lJR/XITQ157KxeWTq7l7mNxAMrKyIyLwCIhRqnUDiJK4VN7SMqAzYLhgIAAAAR5joUPumkkxQIBHTXXXc1O+7uu+9WIBDQySef7HZXgGel+STTtXmyhsKvbahRXRg3CESqWnjxtlrt8Ifu8MyiLB2UmeL4vD8fW6D2GaF/MJ/srI94z2MAiBa/w7kkmUNh05etQdu5lQYAAAAAd1yHwtdcc43S0tL02GOP6dprr1VxcXGTx4uLi3Xdddfpb3/7m9LS0nTNNde0erKA11iWZb7V1aG6K9G9XBxe+4Xn1larIdj6n8HLDq0jxh6S1ezzOmel6KZBecbHPtxh7k8MAF7jVCmclcTtI3Ice/XzhR4AAAAQSa5D4UMOOUQPPPCALMvS7NmzdfTRR6tv374aMmSI+vbtq6OPPlqzZs2Sz+fTX/7yF/Xp0yeS8wY8w3RxnoyVwjtqGvTu1tqwxm6tDmrBlvDGOqkP2nrV0AO4Y6ZPJx6cccDnn+QwxmnROgDwmto22D7CqS1TVRKeVwEAAIB4ch0KS9L48eP18ssv6/DDD5dt2yopKVFxcbFKSkpk27YGDx6sV155RRdffHGk5gt4jukCNhkvXud+VyNTPnFi13Tj+HtX7FawFT0gF26pVWlt6PPP7pWlVN+BA5EB7dOUa/izWd7KUHhHTYPe3VKrUtpQAIgypy8YkzkUzkk1fzRlsTkAAAAgskJXaWqhYcOG6d1339WGDRv01VdfqaKiQnl5eRo4cKB69uwZiTkCnpZtuDhPxkrheZvMlb9/HdpeP/nPDm2tbhqSfrSjXi+vq9F5vbNd7e+lYnNf4nMP0Dpir1SfpSGd0kOqmz/eUadA0A4rWN7fM6urdMPSMtUH9/SSfviE9rqor7v3BwAH4m+LlcKO7SOS77wKAAAAxFOrQ+G9CgsLVVhYGKmXAxKGuX1EclWR2ratjw29eAd3SNMh+am6+ge5uv3j3SGP3/7Rbo0uzGpx/0t/wNa/N/hDtnfN8um4zubKZJMfdw4NhasCtr7YVa/BHcN/HUkq8TfoV8vKVf/fP9oGW7pucal+UJDa4tcCgHA4VgoncU9hp/YRlfWEwgAAAEAktap9BABzKJxsFU0bKhu0wx8adB/bZU8Y+v8G5KpnbkrI45uqGvTIl5Ut3t+bm/zabQgAzu6VpZQWVPjund/+3LSQWLilNmTRpwZbun5JmQIRWFQPAPbnVCmclcSVwjkOoXCynVcBAACAeCMUBlrJVNWUbO0jTFXCknR0pz2ha2aqpT8MyTeO+cvKCm2sDIS9r/qgrWmfhFYdS9LYMFtH7DWkY7pM8cJyh/fTnC921Ru3f76rXjNcBN8AcCCO7SOSuFLYORROrjtwAAAAgHgjFAZaydg+wuFCPlF9eIBQWNrT6/fHnUIrcysDtn788vf61ftl+q7iwOHw46uqtLo8dFzP3BT9qAWtIySpIMOnHxSEdsn5wEWl8OcOobAk3f3pbhXvDj/4BoBwOFcKx3giMZSdZv5omowLuAIAAADxRCgMtFK2YaX0ZLt4/XhHaCDaMdOnon1aRliWpbuOaWd8fk2Drce+rtJRL23XtYtL9V1lg3HcLn+D7vnUXCV84+F58lktr477sSFI3ljZoC1V5jk4caoUliR/gzR5SalsO7n+3AHEl9NdJxltsX0EPYUBAACAiCIUBlop2dtH1DXY+mxXaGXtkE7psvYLaY/ulK7zezu3eGiwpWdXV2voa2WatjpdL62v1Xtba7WmvF7rKwK64+PdKqsL/dkNbJ+qS/pnu5q/KRSWWtZXeEdNg7bVNH/r8nvb6vTK+poWzQ0AmuN3+O6qpYt3JhKnheboKQwAAABEVuh91QBaxLTgT31wT2/ctBYsiuZVX5bWq9YQTBzdMc04/vaj22n+5lrtqnUOUQO29K/tqfrX9kpJB+7He9ePC1q0wNy+jumcYdz+wfe1OifMHsXNVQnv659ra3TuIe7CawDYn98hCM1M4kphp1C4klAYAAAAiCjPVwr7/X7dcsstOuOMM3TYYYepS5cu6t+/v0477TQ988wzqq8PL6yRpNraWt1777066qij1KVLFx122GGaPHmyduzY4fic559/XiNGjFC3bt1UVFSkCy64QCtWrHAc/8knn+j8889XYWGhunXrplNOOUVz5sxpyVtGgnGq2EqWauGPwugnvK/uOSl6a3RHndYzMyL7H12YqWHdzMFuOHrnp6hjZug/dS2pFG6un/C+3tta6xjiAEBLOfcUTt5QmIXmAAAAgNjwfChcVVWlJ554QpZl6dRTT9W1116rMWPGaMuWLbruuut0wQUXKBg88IVCMBjUxRdfrLvvvlsdOnTQpEmT9KMf/UgzZ87UqFGjtHPnzpDn3Hfffbrqqqu0Y8cOTZw4Ueecc46WLl2q0047Te+//37I+EWLFjU+du6552rixInavn27Jk6cqOnTp0fk5wHvcapqSuZQ2JJ0lEMoLEl926XpuVM6aNk5nXVR32y5vdM5zSfd+SNzn+JwWZZlbCHxWUl92H9G4YbC1QFby7bXtmh+AODEFAqn+eT6zolEkOKzlGlYSI+ewgAAAEBkRaR9xGeffaa33npLq1evVkVFhfLy8tS/f3+NGjVKRxxxRKteu3379tqwYYPS05uGOoFAQOecc44WLFigefPm6bTTTmv2dWbNmqX58+frvPPO02OPPdbYC/WJJ57QjTfeqGnTpunBBx9sHL927Vrdc8896tu3r+bPn6927fYEU1dccYVGjRqlyZMna9myZfL5fI3zmTx5snw+n15//XUNGjRIkvTrX/9aI0eO1J133qmzzz5bhYWFrfp5wHscK4UdKrwSjWmRuf7tUtUu/cDfKf2gfZoePbG9bjkyT/d/VqFnVlerJVn5pAG56p3f+n+mjumcrn9v8DfZFrCll9dVa3y/nAM+P9z2EZI0b7Nfw7tHpkoaQNtmOo8kc+uIvbJTffI3NP3Cn57CAAAAQGS1qlJ4165duvDCCzV8+HDdfffdeuGFF/TGG2/ohRde0F133aXhw4fr4osv1q5du9xP0OcLCYQlKTU1VWPGjJEkFRcXH/B1Zs6cKUm69dZbmyyONXHiRPXq1UsvvPCCamr+t0jUs88+q0AgoJtuuqkxEJakQYMGady4cfrmm2+0bNmyxu2LFi3SunXrdN555zUGwpLUrl073Xjjjaqrq9Ps2bNb8M6RKJwqhauSoKqprDaoNbsDIduHNFMlbNIzN1UPDm2vj8Z10YR+2coJI+c96eAMTT0yr0X7cXKMw2Jzf/h4t8rrmr/TwB+w9W156M/gvN5ZKkgP/bN/exOVwgAiw9SOpm2EwqHvsYpQGAAAAIgo1yV4tbW1Ovfcc/X555/Ltm0NGjRIAwYMUNeuXbVt2zZ99dVXWrlypd544w2NHTtWb775pjIy3PcF3V8wGNT8+fMlSQMGDGh2rN/v10cffaR+/fqFVOpalqXhw4frySef1Keffqrjjz9ekrR48WJJ0ogRI0Jeb+TIkZo1a5aWLFmioUOHhjVekpYsWdKSt4gE4dg+IgkqhT/e2bJ+wgfSKy9V009or7uOytQnazfLKuiinfUp2ukPKijJtiVb0sD2aTquS7rSIxR+/KhTunrlpWh9RdMV876vCereFbt1148LHJ+7qqxepj/KIw5KU9CWXl5X02T7t+UBfVcRUFEe63gCaB1jpbDbfjwJxNRXmEphAAAAILJcpxaPPfaYVq5cqe7du2vGjBkaNmxYyJhFixbp2muv1cqVK/WPf/xD1157reuJ1tXV6f7775dt2yotLdW7776rb7/9VuPHjzfue1/r1q1TMBhU7969jY/v3b527drGUHjt2rXKzc1Vly5dQsb36dOnccxee/9/72P76tKli3Jzc8OqaJb2hNhIHOl2aBWpJG0u9+uHeYm9MM6yLdXG7Yfn2636e2oH6tUt01aXdrbS030KvWnBVrC+Vv7wuzYc0K1HZOnyxZUh2//2VZV+WpSqw9qZ/zn8ZLv5fR6aZys/xaeX14U+9sb6Sl3ajxYSiLy6urom/0Vyq6lrCNmW6Uv+zwmZKaEBcEVdwwHfN8cH4A7HDtByHDdA63EcRUdmZvhZhOtQeM6cObIsS7NmzWrSLmFfJ510kp599lkNGzZML7/8cqtD4Xvvvbfx95Zl6frrr9dtt912wOfu3r1bkpq0gdhXfn5+k3F7/79Tp07G8Xl5ecbx+76W6Tn7jm/Oli1b1NAQeiEIb0qvsiRlhWz/eGOJBjgExoli6eYMSU1X/Mnw2cqt3KqNVa1//e3bt7f+RcL0Q1s6tiBD75c1fT8NtvTLJbs044e1Mq3d9MHGNElpIdsLqrcr35ak7JDHXi8u14jMHZGZOGAQy2MH8VNWHfpvsK+hXhs3bozPhGIkJRD6vsur68J+3xwfgDscO0DLcdwArcdxFDkpKSmOBbEmrkPh1atXq1+/fo6B8F6DBg1S//79tXr1are7kiTl5uaqrKxMwWBQW7du1RtvvKE77rhDH374oZ5//nnHMDYRdevWLd5TQAt0brDlW7FLwf0Km0pS8tSzZ258JhUBtm1r1fJS7Wno8D9HdkjTIYUdW/XadXV12r59u7p06WLsGR4t9xU0aPh/ylS/XwH3R+UpuvabfP3p6BwNaN/0n8XvvimX1DTc75plaVDvnpKkQavLtLK06Zc4H+1OVedunZXRBnp/IrbidewgPuyvyiQ1/fclLytdPXuav7ROFgcV75Z2N71VpN6Xqp49ezb7PI4PwB2OHaDlOG6A1uM4ij/XoXB9fb2yskKrI02ysrJUXx+Z+8B9Pp+6d++uK664Qh06dNBll12m+++/X3/4wx8cn7M3MC4vLzc+bqryzc/Pd6zsraioMI7f97VMzykoKHCc475aUuqN+MuUVJgb2q+2uNJO6D/L9RUB7aoLvYX3R10yI/a+0tPTY/oz+mGmdM2AgB76IrSNxEc7Axr1ZrmuHZir3x2Vr/QUS7Zt66uy0Kr9QR3+N+9Te2ZrZWlFk8erA9KKckvDuiXunz+8LdbHDuKjLhj6xVJ2WkrS/9nnpVdLavq5saYh/M9HHB+AOxw7QMtx3ACtx3EUP/s38gxb9+7dtWrVKpWVlTU7rrS0VKtWrYpK9evw4cMl/W+RNye9evWSz+dz7Om7d/u+/YD79OmjyspKYxm7qX+wqc/wXtu3b1dlZWWLSriRWPrlh36/sqY8sVtHrNhp/iLnqI6hrRQSyS8H5+ngbPM/fQ229NcvKjV+fonqGmx9V9mg3fWhwfgPD/rfz2BkD/MCmm9vro3MhAG0WaaF5rJSDAOTTHYaC80BAAAA0eY6FB4+fLhqa2t1zTXXOC784ff7dc0116iurk6nnHKK60k62bZtmyQpLa35kCorK0tDhgzR6tWrtWHDhiaP2batd955Rzk5OTryyCMbtw8dOlSStGDBgpDXmz9/fpMxbsYjufQ1LFK2wx9UWW18F5qzbVtV9UHV79/bIgwrSszN3o/smNi3deSl+TR9aHulNfOv37zNtbpqUaljMH74PqHwjzqlq116aIDx9qbkXggKQPTVGkLhzNTkb0uTbXiPlfW2bJtgGAAAAIgU16HwlClTlJeXpzfeeEODBg3SXXfdpVdeeUVLly7VK6+8orvuukuDBg3Sm2++qby8PP3iF79wtZ9Vq1apuro6ZHt1dbV++9vfSpJGjRrVuP3ZZ59VQUGBJk2a1GT8pZdeKkm64447mlxUPPnkk1q/fr3OP//8Ju0wxo8fr9TUVN1///1N2k6sXLlSL730kg499FAdd9xxjduHDRumXr166cUXX9TKlSsbt5eXl+uBBx5Qenq6LrzwQlc/A3hfv3bmLybW7I5ftfDmqgad82aJuj+zVX1mb9WjX1a26IJ6RUloIFqQbqkoN/HL1E7pkakXR3VUrzzn9/LK+hpd8e4u42P7hsKpPkvDDW0ivi4LaFNlYleLA4gvU6VwZhvoVZ5jCIVtSX7W4AUAAAAixnVP4e7du2vWrFm67LLLtGPHDt13330hY2zbVseOHfXUU0+pe/furvYzZ84cPfLIIzr22GNVWFiovLw8bdmyRW+//bZ27dql4447Ttdcc03j+GBwT2VmamrTt3bxxRdrzpw5evHFF/Xdd99p6NChKi4u1quvvqqioiL97ne/azK+b9++mjp1qqZNm6YTTjhBZ511liorK/Xyyy9Lkh566CH5fP/L1FNTU/XXv/5V48aN0+jRozV27Fjl5uZq7ty52rhxo+68804VFRW5+hnA+0yVwpK0ujygozvFp7L2pmVlenfrnhYGu+ts/WZ5udZXBHTPMe1kWc2HCrZta8XO0ErhIzqkH/C5iWJYtwwtO6eL7v+sQg99URGy+Jy0p53E/rJTLR2S1/TP+5QeGXplfU3I2Lc31+qyQ13/MwugjfMbvldqC6GwqVJYkqoDQWWlJv4XkwAAAIAXtCqtOOGEE7R8+XL94x//0Lx587R69WpVVlYqNzdX/fv316mnnqrLL79cBx10kOt9nH766dq2bZuWL1+u5cuXq6qqSvn5+Ro4cKDGjRunn/3sZ00C4K+//lqSNG7cuCav4/P5NGvWLP3lL3/Rc889p0ceeUTt27fXhAkT9Lvf/U4dO3YM2fcvf/lLFRYW6tFHH9UTTzyhtLQ0HXfccbrllls0ePDgkPEnnXSS3njjDd19992aM2eO6uvrNWDAAP3hD3/Q2LFjXf8M4H39HELhNeWRWWCxpTZWBvTGxtD2BX/7uur/s3ff4W2V9xfAz9WWLO+Z4Thx9t6TTBIghIQRCGW0pey9R1hlr1Kgv5ZVKKWFAoGwQwgjgZAJ2XvHWU4c7yVZW7q/P4yD7fteW5ZlW7LP53l42kjX0rWtYZ37veeFyy/jpfEJ0GrUg4Wjdj/KBYvMDUuO7j7h+sw6CQ+PjMOsbiac/12xsD+4vkkZBsXPbkYXcSn+0uMu/KlvTFj2lYg6FlmWO+6ksEq/T5VPRnIr7wsRERERUXsVciicm5sLoHpi+L777sN9990Xtp2qbfjw4XW6fhuzdu1ajBw5ElOnTlVcZzQacf/99+P+++8P+vYuvvhiXHzxxUFvP3LkSHzyySdBb0/tQ4ZZA6tOgr3eQjgH2mixua+PqffZvrPfAadPxmuTEqFTCYbVunSHRfkic2pGpBrw0RnJmPtdiTCEqZFolPDgiDjF5RkWLQYl6bGztO7PbeVJNzx+GYYOEOIQUXh5VCrpzR2gU1hUHwE0vticxy+D69EREREREQUn5E7hIUOGYPr06eHcl2az2WzYsWMH7rzzzrbeFepgJEkSVkgcbKNQePFRZZVBbQsPOXHVT6XwqASg7XWRuYaMTzfivelJqgvQXZRtxopz0zA0WfwzOKOLUXGZzStjXaH4Z0lE1BCnSrrZESaFVesjVM7mKHH5ccmyEnRbWIozfjHj3/sbfg8kIiIiIqJmhMKxsbHo1q1bnV7dthYbG4uSkhLMnj27rXeFOiBRhUSOzQd/oHXHlkpcfqwtaDyIXHTUhT/8WAKXIHhoz4vMNWR6FxPemZaEOMNvgcSYVAOWnpOKt6YkoZtV/eSKGV3FFRLLjqtPbRMRqXGpHLTrCJPCaqFw/bNxatzzc8WpyiS7X8JDmxxY+WunPhERERERiYWc6Pbu3RsFBQXh3BeiqCaaFHb7gdyq1l0u/dtcF4LNob877sbvlpWgqtYqax1hkbmGzOpmxqa56VgwPQkrz03Fd+ekYHRa4xPSY9IMiNMrfz5LTzAUJqKmUwuFjR1gUli9PkLZqXHM7hMu9PnqLnvY94uIiIiIqD0JORS+9NJLcfz4caxYsSKc+0MUtXrHqS0217oVEouPikNIs0qQsOKkG7esLj/1746yyFxDUs1anN3NjCFNCML1GglTOysrJHaX+XCilQ8MEFH0U6uPUHstb0+aUh/x0UEHRD+pZcddKHDwtZeIiIiISE3IofDVV1+NOXPm4Morr8Rnn32GQEBlRRSiDkI0KQy07mJzVd4AlucpQ+EBiTp8cVaycJIVAD4/4sSmourp4I62yFw4qVVI/MBpYSJqIrfKpLCpA9RHxKiUu1fVC8plWcaCgw7htn4ZWJgjvo6IiIiIiAD1gsxGnHvuuZBlGZWVlbjmmmtwxx13oHfv3rBYLMLtJUnCokWLQt5RokjXU21SuLL1QuFlJ9xwCQajzulmxth0IxbNTMEF3xejzK0MG7455sLIVEOHXGQuXKZ3Ue8V/mOfmFbeGyKKZk61ULgDTAqr10fU/ZmsK/TgkE19Gvj9gw7cMsjaIaqPiIiIiIiaKuRQePXq1XX+bbPZsHnzZtXt+Qc5tXcxeg26xmhxvF5VQGtOCn99TLzi+uys6rByWIoBX5+dihmLixQfrpedcOHhkXEddpG5cOgSo8WARB12l9X9nf+U54Y3IEOv4esgEQVHtAgo0MHrI+r9TD5QmRKusbfch83FXoxM5UFNIiIiIqL6Qg6FX3311XDuB1G70DNOpwiFD1aI6xjCzRuQ8V2usqYg06rFkKTfqh8GJOoxpZMR39TbdmuJF4VOf4deZC4czuhiwu6yugscVXplrM33YIqgc5iISERtUrgjLDRnUak6qqrVKezwBfD5YfGB0NreP+BgKExEREREJBByKHzZZZeFcz+I2oXe8TqsOOmuc1meIwC7NwCrSkdiuKzNd6NCsEDc7G4mRaA7o6syFAaA/+yr6vCLzDXXjK4m/H2nctX713bbGQoTUdBUJ4VD/sstelhUgu8q32/rV3x91AWbYOG5+j457MDTY+Jh7gBdzERERERETdGyKRVRB6O22NzBVqiQWJ0v7gI+J8usuEyt+/bZLTbh5VxkLnhj0wxINCrDh+9yXdhR2jpT40QU/VwduFNYq5FgEjQW1a6PaKw6okalR1atViIiIiIi6sjCFgoXFhZiy5YtWLNmTbhukijq9FYLhVthsbn1hcpQOEYnYVya8rTZ7rE69FJZGE9kWDJPvQ2WQSvh2v5W4XUvbROH7kRE9YkWDQXQYSZeY3TKP1FrQuETVX78lOdWXJ9gEP9s3j8QXIBMRERERNSRNDsUXrhwIcaPH49+/fph+vTpOPfcc+tc/8gjj2DOnDk4efJkc++KKOKpBa0tPSnsD8jYVKQMhUemGqBTWdxsepfgqgyyY7XoHstF5prihv4xiBEEN18ccbZaxzQRRbeO3CkMiHuFq34NhT875IDop3NLfzO6mwOKy1ecdKPAoZKyExERERF1UM0KhefPn48bbrgBe/fuhU6ng16vhyzX/TO9f//+WL16NZYsWdKsHSWKBplWrfCU1z3lLRsE7i73wS7onxzTwOI6M7qKKyTqu2NILBeZa6IkkxZX9o1RXC4DeHqzDSvyXFh0xIn3DlThtV12/HVrJd47UAWHTxlmRLJfCtyY/U0RRn6aj/m/lKPMHV37TxTJVDuFO0goLDqwVjMp/KlggTmNBFzU3Yg56cqDsAEZ+PwIKySIiIiIiGoLORResmQJ3nzzTaSkpOB///sf8vLyMGLECMV2Z599NiRJwnfffdesHSWKBhpJQt8EZf/u9pKWDYU3CKojAGCMoDqixmkZBhgbGQDuZtXi0l6W5uxah3XLICsMglfYz484cd53Jfjj8lLcsrocD66vwNNbbLhldTnGfl6IzYKJ70h0xObDvKUlWJ3vQU6lH2/sqcK0rwqxMwJ6k/MdfnxzzIkjtpavbSFqKWqTwqYOUh9hEXyfVd4Acip82Cp4T52YYUSGRYMzU8UTwZ8cYoUEEREREVFtIYfC//73vyFJEt544w3Mnj0bOp34tPmEhAR07doVu3btCnkniaLJsGRlKHzY5kd5C05RritUdisCwOgGQmGLToPT0huukLhnaCz0KvUT1LAMixa/762cFm5Irt2PmUuK8N99VYqzLiLN33fYYPPW3ccjNj/O/LoIn7Vh+PLJIQcGLczHpT+UYtgnBXiRPc4UpTr6pLAwFPbJ+PSw+PXlouzqRVUzjDLGpSr/Jt1Y5MXhVuj3JyIiIiKKFiGHwlu2bEFaWhqmTZvW6LZpaWkoLi4O9a6IospQlUXZtrfgBKVoUrhPvA6Jxoaf4tMbqJDoHssp4ea6bbAVTc1vPAHgjrXluGl1OTwqk4JtrcTlx4KD4mDG4ZNx1YoyPLKhAv5A6+7/jlIvblhZhtpZ2pObK/H1UZ42TtGnwqM8kGjSQrUnvr1Rq4/49JDy+ayTgDlZ5lP/viBLfMCT08JERERERL8JORS22+3IyMgIalufzwetlgtVUccwVDApDADbSlqmFqDI6cchm/J02YamhGvMaGCxOU4JN1/3WB3mZZsb31BgwUEHHtlYEeY9Co+391bB1ciaTf/YacdFS0tQ2tiGYeINyLh5Vd1AuMadP5e32n4QhUup4OyS5MY6f9qRGL3yT9QjNj/2CRZund7FWOcg6OxuBohaNj455Iz4szCIiIiIiFpLyKFwSkoKjh071uh2fr8fOTk56NSpU6h3RRRVBiTqhdOhLdUrvEGlg3ZsEKFwn3gdusYoQ4busVr8rienhMPhydHx6B4bWpDz7n4H3BE2Lez2y/jX3qqgtl2e58a0r4qwoxV6hv++w646jV/oDGD+usgM2InUiELhRFOz1geOKqL6CDVzs+u+XyUbNZguOOi5r8KHnWWskCAiIiIiAgBxEXAQRo8eja+++gpLly7FGWecobrdxx9/DLvdjvPPPz/UuyKKKmadhL4JOuyu98FzWwuFwutVFpkbndp4KCxJEm4caMVD6+sGZo+PiueUcJikmrVYe34avst1ocgZQKxBgzi9hDiDBnEGCfEGDf67rwr/t8Ou+FqHT8bGIg9Oy2i4+7khR20+bC/1Is2kwchUg+qp5x/nOPDTSTcyzBpc09+KThZxkP3JIQcKncH3Yx+1+zHz6yJ8MysFQ1SqVZprd5kXf9la2eA2Hx9yotJTjKN2P3wBYFy6AU+NjkdCIxUrRG2l1CWaFO44j9dgQ2GTFpjVTVmFdGG2Bd8dV/btf5LjwOCk+GbvHxERERFRtAs5FL766quxaNEi3HnnnXj//fcxdOhQxTYrVqzA/PnzIUkSrr766mbtKFE0GZpsUITCByp8sHsDsApOiW0OUSgcZ6gOpoNxff8YOH0y3j9QBZ1Gwq2DrDive2iVByRm0WlwQQ/1yevHRsWjd7wON68uV1y38qQ75FD43f1VuGtt+alKhXiDhOldTJiZacK5WWaYfg1d/rq1Ek9v+W1Btn/trcK705IwtXPdoEWWZby2SxleA8A1/WLw7v4qCGpQUeWT8fxWG96bnhzS99EQX0DGzavL4A0ip64dEB2s9GFLsQffnZPa6HOy2OXHkmMuGDQSzutuhrkJE4xEoSoRTAondaBQWNQpLHJWpgmxgufwrG4mmLUSnPXOtvj0sBOPjoqDRuLzmIiIiIg6tpA/XUyePBnXXnstTpw4gRkzZuDMM89ETk4OAOCmm27ClClTcMEFF6CyshK33XYbhg0bFq59Jop4wwS9wjIQ9tPovQEZW4qVtzk61RD0B16dRsI9Q2Ox5aIMbJibjj/2iQnrPlJw5mVbYBb0jqw8qZx0C0aBw4/711XU6dit8Mj47LAT160sw6RFhch3+LGz1Itnt9rqfG2lR8aF35fgP/VqIpYcc2GX4NTrgYk6/HVcPL6ZlYrOFvHbyubilunUfmZLpfA5EIxdZT5cu6KswQXxdpZ6MfqzAty2phw3rCrDhC8KUC4I64jCKSDLKBN1CrM+QmGuygE3q14jnCA+XuXHRpXaJSIiIiKijqRZny6ef/55PPbYYzCZTNiwYQOKioogyzIWLFiA7du3w2Qy4c9//jMee+yxMO0uUXRQX2wuvKHwzlKvYgoKAMYE0SdMkcWglTA+Xfl721jkgcNXHQ4VOf0odAa3YNqnh51wiFZd+9WBCh+uXlGKB9aVQ5SJ+uXqBdpuWFmK1flu/H2HDX9cXiq8rZsGWiFJEkamGvDTuWnCgyInHYGw9yMvPe7CS9vFk8ujU8XPwfq+yXXh8U3q1RNPbKpAmfu3/T5s8+OpzQ1XVRA1V6VHhujpktiBJoUtQZxVE6uXcGZXZfBb40KVhT7VapeIiIiIiDqSkOsjatx+++244oorsHTpUuzcuRPl5eWIiYnBgAEDMHPmTKSkpIRjP4miyqAkPSRUTwfXFu5QeJ3KB9sxQfQJU+SZ3MmIH/PqTgZ7A8Cqkx78b38VFh9zAQBmdzPh7alJMIhWNPzVx4ccjd7fmvzGg5EPc5z4MMepen2aWYOLai3ylGbWYm4PM7bWe6zLAE5U+ZEd1+y3HeDX27p+ZZnwuj7xOnw1MxVX/lSKb3Jdjd7WP3ba0SdBh9/3rjslb/MG8OMJ5aT2hwcdeHRUnPCUdaJwKBH0CQMda1LYGsSk8OyshutcpnY2QitBEbDXf30iIiIiIuqIwvLpPCEhAfPmzcO8efPCcXNEUc+q16B3vA77K+ovNhfe6aQNglBYAjCSoXBUmtRJ3B38u2Uldf69+JgLj26swLNjE4TbH6jwhlyp0FQ3DbDCWC+c7mYVv7UctfnCEgp7AzKu/qkUpYLT6w0a4I3JiTDpJLwxORHXrizDd78GwzoJ0GuUHaMAcOfacoxJNaBPwm8TxqtPuiEatrb7ZCzMceDqftZmfy9EIqLHNtCxOoUbq4/QSsBdQxp+Dlp0GvRL0Clqb7a0UJ0NEREREVE06TifLohamahCYl+5D84GTulvKtEH2/6JOsQZ+NSORkOT9YjTB9ej+e+9VThuV/b7AsDCBiZ7w2lmpgm3DlKGMt2sWuH2x+zBVV805tWddvyiMiX/1Oh4DE+pPigSZ9Dgw+lJ2H9JBtZfkIa8P3TG52clQ/T08AaAF7bV7VZenqfe5/zvPVWQ5fDWYRDVKHGLnysdaVK4sVD4D70t6B3feE1MzetBbTmVfnaDExEREVGHF7ZPF+Xl5Th+/Dhyc3NV/yPqSEShsF8GdpeFZ4Kz0hPAIZsyOBgh+ABM0UGnkTAhQzwtXJ8nAGGfrizLwuoIgwb49MxkNHZG9qW9LDCKM91TNBLwwPBYvH96ErQa5Q1mxaqFwuIQuylkWcZb9RbAq3FedxOu7V+3AkKSJKSZteiToIdBK2FcuhH/OC1R+PWfHnbiiO23fWwoFN5d7lMNpomaq1StPqIDTQrHNHCAzKyVMH94XFC3MzyldTr+iYiIiIiiTbM+XRw5cgTXX389evTogezsbAwZMgRDhw4V/jds2LAw7TJRdBiaLA5nw/VBdJdKuDwkKbgFtigyTVapkBD534EqRdC6sciLI4KDBWd2NWF6FxMeG6UepIxM0ePViQlYfV4aLutlQYJBGcp0smiwaGYK5g+LEwbCQPUp7jGC9Dkck8Jl7gCOVylvp0esFv84LRGS1Pik9SW9LLiqb4zicr8M/GNHddCea/fhQEXDIfbbKuE0UXOVqEyxdqiF5ho4gnXTwBh0sjRy9OpXw1Tei7eGuc6JiIiIiCjahPzpYteuXZgyZQo+/vhjlJeXQ5blBv8LBHiaHnUsg1XC2XB9EN2uEi4PEUwoU/RQ6xUW8QaAF+tVHixUWWBuXs/qxeBuHmjFWZkm4TbPjU2ARpLQO16P1yYl4sClnfDFWcm4rn8Mzso0Yf6wWKw5Lw0TG5lmliRJWCERjlBYFHgDwK2DYhHfhNqUu4ZYIVon7r0DVch3+BucEq7x5REnipzhqcQgqq1MJRTuWPUR6t/rbYNjg76dgYl64RkSrdW7TkREREQUqUL+dPH444+jsrISgwcPxkcffYT9+/ejrKyswf+IOpIEowY9BKfRbyz0hKWLdEep8gOtBGAgJ4Wj2sBEXZMWk3r/gONU5YE3IOOzQ8o+4TiDhLO6VgfBkiTh9YkJ6B1fd8G3WwZaMTqt7kSdXiNhamcTnh+XgI9mJOOB4XFIMgU3nScKhY/aml8fcUTlNrLjgtuvGl2tOlzya1BemycAvLrLjuUnGg+FPQHgvQPiEJ6oOUoE9REGDYQT+O1VdpwWZq3y+31qdFyTDgCZdBIGJCrfF7nYHBERERF1dCGHwr/88gvMZjM+//xznHnmmUhNTQ3nfhG1C6IKid3lPvxjp7ILtqlEk8LZcVrEisYfKWpoJAmTOgXfC+2TgQu/L8b/bbfh9K+KhKedn5dlhqlWmJRk0mLpOamYPywWF/c04/VJiXhydHD9nMHqZtUpLst3BuBq5kKLR1SmjbvHKu+vMXcMjoWoAeOtPVX44khwi/W9sM2GnwsaD5CJmqJU8DxONmmCqkdpLyw6Da6r1xE+Id2Aa/srF7dsjKhX+KjdrzqRTURERETUEYScHkmShN69eyMpKSmc+0PUroxPF4d7j2+qxIo8V8i36/HL2FuuDIUHJ3GRufagoV5h0aBgTqUfj22qFE6PA79VR9SWYNTggeFxeHNyEi7tZQl72CSaFAaA41XNmxYWTQprJaBrTNMmhQGgZ7wO52WZFZc7/TKCja6rfDLmfV+CdQyGKYxEk8IdqU+4xmOj4vDWlERc1TcGz4+Nx4czkmEUTA83ZrjKAqxbOS1MRERERB1YyJ8w+vfvj9LS0nDuC1G7c2kvi3C1+IAMXPVTGXLt4oDM7g3gwfXlGPxxPiZ/WYj3DlTVqZzYX+GDRzDgpNZjTNFlikoofOdgKy7rrQx4G9LFosXEjNY/WNBNZXK3ub3Cok7hTKsWOpVF7xpz55Dgpw6v7a9cnA4A7D4ZFy0twYZCBkwUHqIJVtF7SXsnSRIuyrbgpQkJuG6AFXFNqI2obZhK1/6WMC38SkREREQUjUL+hHHDDTfg+PHj+P7778O5P0TtSpxBg7enJgpPUS9xB/Cn5aXwBurOJOZV+XH2kmK8tqsKuXY/tpd6ccvqcsz+thgHK6o/wG5XWayOi8y1D73i9YrF4DKtWtw2OBb3DI1tUq/on0fGQdMGp5xnqUwKNz8UVh5ICaU6osaQZAPO7Nr44n4GDfDYyDhc0lM5WQwANq+MC5cWY6fKtDZRU4hqYJI60CJz4TYgUQ9RnsxeYSIiIiLqyEL+hHH++efj9ttvxzXXXINXXnkFNpstnPtF1G5M6WzCn0eI+1o3FXvx7v6qU//eXuLBjMWFwhqANfkenPZlIf6+w4btKsETJ4Xbj39NTsR1/WMwNFmPedlmfH5mMhKNGnSz6vD+9KRG6xKyY7X4cEYSLunVtMnicFGrjzimMh0fDG9AxvEqZajcXeW+gvXYqHjhgla1jUs3IkavwSsTE3F+d3EwXOmRceH3xaqL4REFQ5ZllArqI5KNzXucd2QGrYRBgvfHLcU8iENEREREHVfo41UAHnroIRw+fBiPPPIIHnnkESQnJ8NiEQcQkiRh69atzbk7oqh1x2ArNhV5sPiYskf42S02zMu2YH2hB1csL0VVAwtxuf3AoxsrhdelmTXIsDA0aC/iDBo8Py5BeN3UziZsuSgdXxx24tVddmytdQp0olHC/GFxuKpvDAwhdG+GS6JRA6tOgr3e4/mooP4hWLl2PwKCp0dzJoWB6inCD2ck44rlJSj3iJ9/p3eunibWaST8a0oiArKMRUeVz+cCZwAXfl+Mb2elItXM5yM1XaVXhuhtIKkD1keE0/AUAzbXC4GPV/lR5PTzuUpEREREHVLIn6TLy8sxd+5cbN269VTXaXFxser2HWnFbKL6JEnCa5MSseerQuRU1g3Fil0BXLuiFMvz3MKe4GBxSrhj0WskzOtpwUXZZqwv9ODnAg9SzRqc082MhAgIjyRJQjerFrvL607NNmdSWG0Ct7mhMABM6WzE8jlpuOyHEuypt88SgJndfqvz0Gsk/HtqEq5cXio80JNT6ce8pSVYfHYKrPq2/11QdBFNCQOsj2gutV7hrSVenNGVoTARERERdTwhf5J++umnsWXLFsTHx+OKK67AsGHDkJKSwvCXSEWcQYO/jE3ARUtLFNd9d9zd7NtnKNwxSZKEselGjE1vvBe3tWXG6gShcOiTwqJF5gCge2x4Ap0ecTp8PzsVN64sqxP2XtM/Bv0S6j6/aoLhi5eWYMVJ5fN3a4kXL++044Hh4uoYIjWlgj5hgJPCzTU8Rbzg5pZiD87oahJeR0RERETUnoUcCi9ZsgRarRZffvklhg4dGs59Imq3ZnQ14fTORvyYF1wIPLmTEQMSdXhjdxXUSyWqDWEoTBFGtNhcgTMAp0+GuQmL5dVoyUnhGrF6Df53ehJW53uwpdiDAYl6TO8iDtyNWgnvTU/CnG+K61R41HhnXxXuHxbLg6XUJCUqk8LJnBRuln4JOpi0gKvesaWNRVxsjoiIiIg6ppA/YZSWlqJXr14MhIma6MnR8dAEkRFd1suCT85IxnNjE3BpEIuFDVY5NZaoragtNne8KrQKCVEoHG+Qwl6XIUkSJnUy4rbBsZjR1dRgqBur1+DjM5KRLZhWzncGcKgy9Mlo6pg4KdwydBoJQ5OV08I/F3jgE5WVExERERG1cyF/wsjMzIRGww8oRE01MEmPyxsJeS/tZcErExNOLRR2//BYGBp4usXoJGSHcVqSKBy6WcWPyVArJET1EeGcEg5VqlmLP48U10SsKWh+NQx1LCUqoTAnhZvvtAxlKGzzysJJfyIiIiKi9i7kTxgXXXQR9u3bh4MHD4Zzf4g6hIdGxMGicvr8uVkmvHxaAjS1phO7WXW4ql+M6u0NTNRDG8z4MVErUpsUPqrSDdwQWZaFk8Lh6hNurgkqnc6r8xkKU9OUqdRHJHJSuNkmdxI/T1cKesGJiIiIiNq7kD9h3HnnnRg/fjwuv/xybN26NYy7RNT+ZVi0uHtIrOLyM7oY8daUJOgEAa9o+xqsjqBIlKUyxXvM3vT6iHKPjEqv8hTv7irTyK0t3aJF73jlvqzN90CWeWo6Ba/ErTxoopOAOD0P/DXX2DSj8KybFUH2/BMRERERtSchf5q+44470LlzZ6xfvx7Tp0/HoEGDkJ2dDYtFfFq8JEl45ZVXQt5RovbmziFWlLoD+M++Knj8Mv7UNwZPjI47VRlRX6pZi3uHxuKv22yK67jIHEWiBIOEWL0EW70wN5T6iNZYZK65JmYYcKCi7n4er/LjqN0fUftJkU3UKZxs0nDBwjAw6ySMSTNgdX7dxeXWFbrh8snYVOzB97kudIrR4vLeFsTqOZ1NRERERO1XyJ9SP/jgA0iSdGoCavv27di+fbvq9gyFierSSBKeHhOPR0bGQa9BnboINbcMsuKd/VUodP4WGpi0wKxuppbcVaKQSJKETKsWu8vqBqWhTAqrh8KRUR8BAKdlGPGffQ7F5avz3QyFw2x/uRf3r6vAukIPsmK1eGl8AsapVHhEmxJBfQQXmQufyZ2MilDY5QduW1uGhTnOU5e9s68Ki89OQbIpcl5jiIiIiIjCKeRPqfPnzw/nfhB1WEaVyWCReIMGH05PxhU/lSLX7kecXsLLExORauaHVopMWVadIBQOZVJY/DWRFLaeliEOJdfke/D73uqd4NQ0W4o9uOC7YpR7qg9K7y7z4dIfSrDtogzENbQiZ5QoFYXCXGQubCZ3MuKZLcozbmoHwgCwp9yHG1aW4aMzkoM6aEtEREREFG1C/jR9//33h3M/iChII1IN2HZROk5U+dHJohX2DxNFCtFic4XOABy+ACy64IMu0aSwVgK6qixm1xY6WbTIjtXiUL0Aew0XmwubdQVuzFtaouiXLnPL+PKIE3/oE/3hu6g+gpPC4TMixYAYnYQqX+Nd30tPuPG37XbcPVS905+IiIiIKFrxUwZRFNJIEjKtOgbCFPG6qUzy7iz1Nul2RJPCXWO00EfYc2BiJ+W08DG7P6TKDKprdb4bc79XBsI1thQ37TEViWRZRomoU5ihcNgYtBLGpxuC3v7pLZVYdZIHdoiIiIio/eGnDCIiajE9VDp//2+HvUm3I5oUjqTqiBoNVUhQ6I7YfLh0WUmD051bSqL/Z2z3yfAqM2HWR4TZZMHBGzUBGbhmRSkKHE2vvSEiIiIiimQhf6Jes2ZNk7/mtNNOC/XuiIgoCk3MMApP1V5yzIWtxR4MS2l8Ys8bkHG8ShnIRNIiczVOU5lAXJPvxqW9LK28N+3HhwcdsKlMCNfYWeqF2y83qac90ogWmQNYHxFuTQmFAaDAGcCfN1bgzclJLbRHREREREStL+RQePbs2ZCasPCGJEkoKSkJ9e6IiCgKxRk0uLZ/jHAy+LmtNnw4I7nR2zhR5YdfkAdG4qRwV6sO3WO1iroL9go3TzB1I94AsLvMi+FBHGiIVGWC6giAoXC4DU7SI94gocLTeK9wjc8OOfHUaD/SuLArEREREbUTIX+i7tq1q2oo7HA4TgXABoMB6enpod4NERFFuVsHWfHWnirY600Lf5vrwh9+LEGJK4BydwCzssyYPyxW0RN8uFLcxxuJk8JAdYXEEZujzmWHbX7kVfnROSYy9znS7a8IrpN5S3F0h8Jqk8LJJj5uwkmrkTApw4jFx1yK67rGaNE/QYelJ+oeyPHJwIKDDtw+mIvOEREREVH7EPLoyY4dO7B9+3bhfwcPHsThw4fx0EMPQafT4Y9//CO2b98ezv0mIqIokWzS4roBMcLrvjrqwtoCD3aX+/DCNhvuX1eh2Ea0yBwAZFkjb1IYUK+QOBBksEl1eQMyDqkcGKhvc3F09wqXclK41UzpLK6QeGp0PP46PkF43Tv7qiDLwU8XExERERFFshb7lJGQkIB77rkHL7/8Mp555hksWbKkpe6KiIgi3C0DrYjVN1459PbeKuyoVxVwSLDIHABkx0VmKNxVJayuFK0gRo06YvOhgfXl6tgS5aGw+qQwQ+Fwu7inRRG2T+9ixHndTegeq8M0QWh8yObHKi4aSURERETtRIt/ypg7dy7S0tLw6quvtvRdERFRhEoyaXF9f2uj28kAntpUd1pYVB+RYJCQEKHTk/EGcfhd6WEoHIr95eKDAkZBo8Lech8cvuj9OZdwUrjVxBs0+PrsFJzZ1Yje8Tpc0y8G70xLOlWN9qe+4rMb3tlX1Zq7SURERETUYlrlU0bnzp2xY8eO1rgrIiKKUDcPCm5a+LvjbqyttTCbaFK4R4ROCQPVYZNIZRMWtaLfqNVuXJxtUVzml4EdJY0vShepRAvNaSUgTuVAAzVP/0Q9Fp6Rgg1z0/HC+ARY9b89d8/ONCFVMKH91VEnil3iShsiIiIiomjS4qFwIBDAoUOH4PfzD2gioo4s0ajBY6Pigtr2iU2VkGUZsiwLO4WzYyM3FI5TCb4rOCkcEtEic1oJuDDbLNx+SxSHwqL6iESjBhqVhX2p5Ri0Ei7vrTzw4AlULzhHRERERBTtWjQU9nq9ePDBB1FRUYEBAwa05F0REVEUuLqfFW9PScSsbiZcnG3Gs2Pihdv9UujBd8ddKHAG4BAUyvaI4FA4Vm1SmJ3CITlQoQx5s+N0GJlqgCgqjeZeYdFCc8msjmgzf+yjViHh4IJzRERERBT1Qv5UffPNN6teJ8syioqKsH37dhQVFUGSpAa3JyKijmNutgVza5367/bLeGxTpWK7JzZV4vlxCcLb6BEnKJSNEHqNBItOUoTZrI9oOlmWhZPCveN1iNVr0Cdeh331rt9SHL2TwqJagiQuMtdmsuN0mNzJiJUn3XUuP1jpw8qTbkzpbGqjPSMiIiIiar6QQ+EPPvgAkiQ1OikRExODRx55BOeff36od0VERO3YdQNi8M/dduQ7605J7i7z4d394kWdInlSGKiukFCGwpwUbqoiVwAVgjC9T3z1739Yil4RCh+o8KHSE0CcysR2JHL6ZNy/rhy7y5QBOBeZa1t/6mNRhMIA8M/dVQyFiYiIiCiqhfypev78+arXSZIEi8WCnj17YvLkybBaG19xnoiIOiaLToP5w+Jw58/liusWHXEKvyY7gheaA6oXm6sfcld6OSncVKIpYaB6UhgARqQY8FFO3ceIDGB7qRcTM4wtvXthcajShz8uL8XOUvGEc7o5cqfiO4JzssxIM1egsN7z+dtcFw5X+iJ60UsiIiIiooaE/Jfs/fffH879ICKiDuz3fSx4aEOFYrpWcDY9LDoJ6ebInp6MMyjbbjkp3HQHysWhcJ94PQBgeIpeeP2WIk9UhMJbiz248PsSlAi6hGtM7xL530d7ZtRKuLJvDP6y1VbnchnAm3vseHZsQpvsFxERERFRc0X2p2oiIuoQ9BoJQ5PFAV993a1aSJJoibHIIaouqGAo3GT7BYvMAb9NCg9K0kMreCh8e9wV8QuBrTzpxpxvixsMhG8ZaMWsbqwoaGtX9Y2BXvAX8/sHHLBxAUkiIiIiilIMhYmIKCIMCzIUjobTteMECRIXmms6UX1EmlmDhF97di06DfonKh83a/I9WHTU1eL7F6rFR5246Pti2FQqRaw6CW9NScRTY+Ij/gBIR5Bu0eKCHmbF5ZVeGQsOONpgj4iIiIiImq/Zn6yrqqqwatUqHDp0CHa7vcHJnIZ6iImIqGMbnmIAIF5YrrZIX2QOUKmP4ERhk4lC4Zop4RrnZpmEfbwPra/AjC5GxIhGPNvQ6nw3rlheCr/Kn0sDE3V4Z1oSesUHd5CEWseNA6xYmKPsOH9jjx3X9I+BhuE9EREREUWZZn2yfuutt/DEE0/Abrc3uJ0sy5AkiaEwERGpUuuHrS/SF5kDxPURbj/g9sswivoOOpiNRR78nO9Gpxgt5vYwnwrUvAEZ/9pThcM2HwYk6JFrV5ZK96kXCt8wwIq391YpFvY7XuXH37bb8fDIuJb7RpqoyhvALavLVAPhM7sa8d9pSbDoIivIpuqDVmPTDFhX6KlzeU6lH9/lunB2N+UkMRERERFRJAv5k/Vnn32Ge++9FwCQkpKCIUOGIDU1FRoNP8gQEVHT9YzTIVYvqZ5SX6NHrLaV9ih0cXpx8FvpCSDVHPn735L+tceO+36pQM1v+T/7qvDRjGTIAC74rhgbi8Q9wjV615ugjTNo8MToeFy3skyx7T922nBpLwt6xkfGgYRntthwxCZYPRHAvGwzXpuUCL2GBw0i1Q0DYhShMAA8sL4CkztF3lQ6EREREVFDQv6U9Nprr0GSJFx99dV46qmnYDRydWwiIgqdRqpebG51vjJ0qS0aOoXjBZPCQHWvcGoHHih0+AJ4Zkslasf+a/I9uGJ5KSSg0UAYUE4KA9WB6n/2VeHngrqPHU8AuOKnUnw4PQldrW37uNlY5MHru8VnVl3bLwZ/GRfPCoIINzvLjC6WSpxw1A32j9j8eGpzJZ4dm9A2O0ZEREREFIKQRxr27NmD+Ph4/OUvf2EgTEREYVHdK6xOJwFdYyJ/0lZUHwGwV3hHiRdlbuUk+A8n3Fh2wh3UbdTvFAYASZLw13EJEDVz7Cz14vTFRVhXENzttwSPX8atq8sQEAzBj00z4LmxDISjgV4j4a6hVuF1/9xd1aaPMSIiIiKipgo5FNbpdOjRowfrIoiIKGyGJzfcK9zNqoUuCk6vFy00BwAVno4dCu8uUy4c1xRmrYRMq/igwKAkPa7pFyO8rtAZwJxvi/FxjqNZ9x+ql7bbsKdc+b0bNMA/TkuANgoe01Ttyr4xGJemPHglA7h1TTlcvobrb4iIiIiIIkXIie6gQYOQl5cXzn0hIqIOblgjk8LRsMgcoD4pXOHp2IHR7rLG6yEa0ite1+BE7QPD45ClEhp7AsDNq8uws7R5+9BUe8q8eHG7TXjdfcPi0DchuAUWKTJoJAkvT0yAUfAw21/hw+ObKlp/p4iIiIiIQhByKHzzzTejoKAAn332WTj3h4iIOrAesVrVKdvq66MkFG5gobn25IjNh/vXlePen8uxQbAAV307mxkKi/qEa0swavDlzBT0VdnOEwD+phLQtgR/QMata8ogag0ZmKjD7YPFVQQU2XrH6/HAsDjhda/vrsI/VbqjiYiIiIgiScih8KxZs/DAAw/g1ltvxUsvvYTy8vIw7hYREXVEkiRheLL6tHA0LDIHNNQp3H4mhY/afJjwRSH+ubsK/9pbhZlLivDegSrV7WVZDmpSWCMB9w6NFU5int6l8TUMusfqsHR2Ks7qKt72yyNO5NdbKKylvLGnSrh4nkYCXp2YCD1rI6LWLYOsGKZSd/PAugp8dqhtqkqIiIiIiIIV8qfroUOHAgC8Xi+eeuopPPXUU0hOTobFYhFuL0kStm7dGurdERFRBzE8RY8VJ8ULNvWIjfxF5gAgQS0UbkeTws9vs8FRqz/VLwN3ri1HdqwOEzKUgeyJKn9Q9RnPjYnHdQOsGJNmwPUry1Dqrv6ZTcwwYF62+G+M+uIMGnwwPRk3ry7DhznOOtf5ZOCd/VWYrzLpGS5HbD48tblSeN2tA62NVqVQZNNpJLw6MRHTvipE/ae1DOD6VWVINmkwpbOpTfaPiIiIiKgxIYfCx44dU1xWXFysur3EVbWJiCgIwxsIy6JlUji2nddHBGQZ3+e6FJd7A8AffizFj3NSkVWv6kNtkbkbBsSg0BmAX5ZxbX8rJv4aKJ/R1YTNF6bjxxMuxBk0OL2LscE+4fq0GgkPDI/DRzlO1I+i/7O3CncNiW2xSV1ZlnH7mvI6oXmN7Fgt7h/esoE0tY6BSXq8OjER164sU1znDQBX/VSGbfPSYdVzUWYiIiIiijwhf7r+6quvwrkfREREAKB6SrYEoLs1OkJhrUaCVSfBXi8UbC8Lze0o9aLIJQ64S9wBXPpDCb47JxWxtcKwXSrVEb/vHYNBSeLfeYJRg7lBTgeLZMXqcFamCd/WC7DznQF8fdSF83uYQ77thry9r0p12v0fExNh1vFAeXsxr6cFBU4/Ht6gnAovcQewMMeJq/rFtMGeERERERE1LORP1xMnTgznfhAREQEAulm1SDJqTtUG1Ohs0cIURWFanEEZCreXSeEfT4gDzxq7y3y45+dyvDE5qdZlylBYJzW+eFxzXdc/RhEKA8Cbe+wtEgofqPDi4fXi2oir+sacmoSm9uOWQbEocAbw8k7lAnObij24CgyFiYiIiCjy8Hw2IiKKKJIkYVy6skJiaIp4mjRSiRabay8Lzf1wQhmy1rcwx4kjtt8qI3aVKkPhPvE6GLQtG/RP7WxEzzhlF/XaAo9wn5rDG5Bx3coyOP3K33NniwaPjWJtRHv1+Kg4Yef5zjA/xoiIiIiIwoWhMBERRZy7hsTW+bdGAm4YYG2jvQlNnKBHtD1MCtu9Aawr9DS6nQxgdX71RLHHL2N/hbJTeKBKbUQ4aSQJ1/QTP3b+vbcqrPf1/FYbthSLQ8B/nJYoPFBA7YNGkjA0WXkwa2+5F75A+zgYRERERETtCz+dEBFRxBmVasAPs1NxUbYZ87LN+HZWCiZ3iq7T7uMMygnY9hAKrzrphjfIb2PrrwHpgQofBGuuYUBi60x/X9rLAougeuTTww54wxTYbSj04MXtNuF11/aLwYyuprDcD0UuUTe221/9+CciIiIiijQMhYmIKCKNTDXgrSlJ+NeUJIxJi65AGADi22l9RGN9wrVtKa6eKFZbZG5gK4XCCUYNLs5W9gdXeGT8XND41HNjZFnG/evKIcqX+8Tr8Pho1kZ0BIOSxP3YrJAgIiIiokjEUJiIiKgFqE0Ky3J0B8OiPuFUkwazuiknYXeWeeHxy8JF5gBgQGLLLjJX24XZFuHl3xxzNvu2f8xzY5OgNkInAW9OToRFxz+3OoJBKgc5djAUJiIiIqIIxE8pRERELUDUKewJAC5/G+xMmByx+XDIpvwGpnUxYmSKsk/V7Qf2lHuFC7rFGyR0iVEuzNVSxqUbkCAI6pccczUrqJdlGc9vFddG3DcsFsMEPxdqn7rEaIWPMU4KExEREVEkYihMRETUAtQWFYvmXmHRlDAATO9iwvAU8ZTk1mIvdpcpO1UHJOohScoAraXoNRLOFPT6HrX7sac89M7XlSc9woX30s0a3DooVvAV1F5JkiTsFd6pMilPRERERNSWGAoTERG1AFF9BABUBrtKWwT6QaVP+PTORgxLFofCy/PcOOFQThe3Vp9wbbO6KXuFgepp4VA9v61SePltg2NhFixuR+2bKBQudAZQ6Gy7UwRW5Llx3YpS3LCyFL8UBN8JTkRERETtG0NhIiKiFqA+KRydncLegIxVJ5WB0tBkPVLNWiSZtMiyKusgvjgi7uxti1D49C5GCFo9Qu4VXpvvxpp85ZRwqkmDK/uKO4ypfROFwkDbVUh8ecSJC74vxsJDTnyY48Tsb4rD0qNNRERERNGPoTAREVELiFebFI7S+ogtxR7YvMpAe3oX46n/P7wJ/bmtuchcjTiDBpM7GRWXbyr24qRgmrkxf90m7hK+ZZCVi8t1UGqLzbVFKHzU5sOtq8sQqPW09cnADavKcMQWemUKEREREbUPQX0iS0pKavYdSZKEkpKSZt8OERFRNBAtNAcAlYJgNRqsOqmciAWAKZ1+6+kdnqJXnQyur38bTAoDwNmZJmENxkXfF2NsmhEWnYRr+sege2zDfyJtLvJgeZ7ydpKMGlzdLyZs+0vRpV+CHloJ8Nd7mrd2KOwLyLh+ZZnw9abCI+NPy0vx7axUmFhxQkRERNRhBTXGIstys/8LBKJzMoqIiCgUavURFVE6KbxSUB1h1AJj0n6bDh6WHNyk8Ph0g+rPp6WdrdIrvKvMh7f3VeGVXXZM+rIQa/Mb7l79x0678PKbBlphVTkgQO2fSSehT7zygEJLhMIHK7x4dZcdH+U44PLVDX9f3G7DL4IFEGtsLfHioQ0VYd8nIiIiIooeQU0Kb9u2raX3g4iIqF1RW2guGkNht1/GukJlSDo61VBnMbWhKovN1XfjAGvY9q2pusRoMTRZj20l6iGdzSvjTz+V4qc5aegco+xJPmLzYdFR5UR0nF7Ctf05JdzRDUrSY0953XqG/RU+uP0yjNrmT+aWuQN4YlMF/rvPgZoo+OUkO74/JwUWnQbrC914fqu42qS2f++twoR0Ay7MZv81ERERUUcUVCjcrVu3lt4PIiKidkW1PiIKF5rbUOSBS1C5W7+fN8GoQc84LXIq1ft5e8RqcU43k+r1rWFWN1ODoTAAFDoDuGJ5CRafnaoI8l7daa/T01rjqn4xiG+jCWiKHIOS9Pj4UN2DBj4Z2FvuxdAgp+lFZFnG+wcdeHRDJUrcdQ8u7Sz14n/7HbiufwzuWFOuqK9Q89D6CszJMsMQhrCaiIiIiKILP7kQERG1gFh9+1loTlQdAShDYaDxxeZuHGCFVtO2AdQ5KhUS9W0o8uKBdRWQ5d8SthKXH+8dcCi21WuA69twApoix6Ckllls7o615bhldbkiEK6x7LgLW4q92F2uXEROKwEWQX9wvjOAnwsarkohIiIiovYpLKGwz+fDxo0b8eWXX2LBggXhuEkiIqKoptVIwmA4GheaWyUIhS06CSMEAfCwBiokEgwSLu/d9qeqD0rS46Ls4ILht/dVof9H+bhxVRn+u68Kv1tWAqdgDPPinhZ0siirJqjjGdwCofD2Eg/e2a88GFHb+iIPVqt0Yd8/LBYvjk8QXvf9cYbCRERERB1RUPURamRZxosvvohXX30VFRW/LVZx6aWXnvr/t912G1asWIEvvvgCPXr0aM7dERERRZV4gwY2b90qhWibFHb4AthYpFywany6QXjKeUOTwlf2jUFMhCzC9trERIxONWBbiRcJRglj04x4YlOFsPoi3xnAgoMOLDioHsrdOohTwlQtzaxFmlmDQmfd5/qOZoTCy/MaD24rPDLeFQTHWgm4caAVJq2E+9eVo6Jehc2y4y48PSY+5H0jIiIiougU8iczWZbxxz/+Ec888wwqKiqQmZkJq1X5gWj69Ok4duwYFi9e3KwdJSIiijZxoknhKAuF1xV44BXs8qQMZXUEAAxJ1kOtHOK6CKpXMGglXD/AitcmJeKZMQk4r7sZ752ejBjBKfaNOSvThH4JwS2yRx3DoETl42FrsRc+URl1EDYXKw/MiBysVFZHDE3Ww6rXQKeRML2Lss97X4UPR2zKryMiIiKi9i3kUHjBggVYvHgxevTogeXLl2Pbtm0YOHCgYrsZM2ZAo9Fg6dKlzdpRIiKiaBMnWHSs/pRepGtKnzAAxOo1GJGiDMQu6WmO+HqF/ol6vDoxsclfdxunhKmekanKiXm7Tw55WnhTUehTxuPTf3uuzugift4uO+4K+faJiIiIKDqFHAq/9957kCQJ//73vzF06FDV7WJiYpCVlYX9+/eHeldERERRKc4g6hSOrklhUSgcp5cwpIHu4PnD4lB74DbdrMGjo6Lj9PTze5jxwrj4oCeGR6XqMSG94cX1qOMZr/KY+LkguInf2gqdfhyvUtaaBKv243NGV+WkMAAsbUYo7PTJ2FTkQaEz9H0kIiIiotYXcqfwrl270LlzZwwbNqzRbZOTk3H8+PFQ74qIiCgqiSaFK6NoUrjCE8CWEuWE4oQMI3Qa9dD0zEwTls1OxVdHnTBoJfyhd0zETwnXdk1/K37Xy4JVJ9344YQby467cNSuDLziDBL+PiERktT0yglq30anGaCRgPptET8XuHHTwKZNlqtVR2glQLDmoULtgDrNrMXwFD22FNd9Xq886YHTJ8PcxPqUTUUeXPpDyan+5LuHWPHwiDg+J4iIiIiiQMihsNvtRlZWVlDbulwuGI3i09WIiIjaqzjBomqVngBkWY6K0OTnArci1AKASSrVEbUNSzFgWAOLzkW6WL0Gs7qZMaubGQBQ7PLjuN2PPIcfJx1+GLUSZmaakGKKnrCbWk+sXoPBSXpsq3dQ5ZcCT5Of/2rVETcNtOLlnfYGv7Zfgg5J9R6jZ3Q1KUJhp1/Gmny36iSxyEmHHxcvLUGJ+7ezH17cbseARD0uzLYEfTstJa/KD52mOggnIiIiIqWQ6yPS0tJw5MiRRrdzuVw4ePAgunbtGupdERERRaV4QX2ET64OYKJB/UCrhlqfcHuWYtJiWIoBs7qZcXU/K37fO4aBMDVIVCFR5AogR7AYXEO2CCaFY3QS/tC78eBVtA9nhqFCwh+Qcf3KsjqBcI2HN1TA3oY1OSUuP/7wYwkGLMxHnw/zcc2KUlRFWW0PERERUWsIORSeMGEC7HY7Fi5c2OB2//nPf+ByuTBp0qRQ74qIiCgqieojgOipkDhiU1Ym6DXAgISQTzQi6jBqL/BW29om9ArLsoxNglB4aLIeveN1SDE1/Kf8BME+DE/WI9mo/LqmhMJ/22FXXYTypCOAF7bZgr6tcCpy+jHn22J8dfS37+WTQ078Z19Vm+wPERERUSQLORS+8cYbAQDz58/HkiVLhNu8++67ePzxx6HX63HdddeFeldERERRSbTQHFBdIRENjtiUE41ZVh20DfQJE1E1tcXmfmlCKHzU7keZW3kQaWSqAZIkYWxawxUton3QaiRM76oMiw/Z/DhQIT47oLZ1BW48u6WywW1e3WUP6rbCqfDXQHh3mfJ169PDzlbdFyIiIqJoEHIoPHToUDz22GMoLy/H73//e/Tv3x979uwBAMyePRu9evXCHXfcAbfbjSeffBK9evUK6X7y8vLw2muv4YILLsCgQYOQmpqKPn364A9/+AM2btwY9O28//77SEhIUP1v1apVwq/bvHkz5s2bh27duqFz586YMWMGPv/8c9X7yc/Pxy233IK+ffsiPT0do0aNwgsvvACvt3X/MCYiorYn6hQGgIqomRRWhivdY1mZQBSMNLMWPeOUz5efC8QTtiKbisQB8ogUPQBgXAOhcKZVi65W8VT/GV3EFRLXryxrsPqhyhvANSvLGl3gzhsA7vulArLc+Gtdrt2H+9eVY+qiQvxpeSkONbFeAwB2l3kx+5ti7C0Xf+2+ch8CQewLERERUUfSrPM/b7vtNnTt2hWPPvoojh8/furyNWvWAAA6deqEJ554AhdddFHI9/Hmm2/i//7v/9CjRw9MmzYNKSkpyMnJwddff42vv/4ab731FubOnRv07c2aNQuDBw9WXN6tWzfFZStXrsSFF14Ik8mEuXPnwmq1YtGiRbjyyitx/Phx3HrrrXW2LygowIwZM3DixAnMnj0bPXv2xJo1a/DUU09h06ZN+OCDD6JiYSEiIgoP1fqIKOi3dPpknHQo97NHLKsjiII1Lt2InEpHncsO2/zId/iRYWn8AMvmYvFQwYhfF3EcqzKNDAATGrhuehcjJAD1Y9LNxV5csbwUH85Ihl5wRsD7BxzItStrZUSW57nx3gEH/tAnRnh9scuPF7fZ8O+9Vag5eWJriRdr8t3YfFE6YlUOqtV2sMKL57ba8Okhp+J7qc3hk3HM7kd3vn4RERERndLsv4zmzp2L8847Dxs3bsTOnTtRXl6OmJgYDBgwAOPHj4der2/W7Y8YMQKLFy/GxIkT61y+du1anHfeebjrrrtwzjnnwGgMbtGbc845B5dffnmj2/l8Ptx+++3QaDT4+uuvMWTIEADAfffdh+nTp+PJJ5/EeeedVydMrgnHX3rpJVx11VUAqrvgrrnmGnz66af49NNPmxWQExFRdInm+oijdvHEXRYnhYmCNj7dgPcPOBSX/1Lgwfk9zI1+/WZBn3CyUYNu1urn4dBkA4xawC3IaUV9wjWSTFrMyzZj4SFlrcIPJ9y4eXUZXpuYCF2tYFiWZbwr+F4AoGecFjmVyp24fW05dBoJl/b6bVE8WZbx+u4qPLO5EnafMsotcgXw4UEHru1vVd3/Ck8AT26qxNv7qhAIcgB4b7mXoTARERFRLSHXR9Sm1WoxduxYXH311bj77rtxww03YPLkyc0OhAHg3HPPVQTCQPVCd5MmTUJ5eTl2797d7Pupb+XKlTh8+DAuuuiiU4EwAMTHx+Ouu+6Cx+PBggULTl1us9nw+eefo3v37rjyyitPXS5JEh599FEAwDvvvBP2/SQiosilVh8RDQvNiaojAE4KEzWFWjC7NogKCV9AxrYS5aTwyFT9qTPPjFrp1NRwfWqdxjWeHhOPHioHeRbmODH1qyKsL/xtP7eVeLGzVLk/w1P0+GF2GtLMyte7gAzctKoM7+6vgizLKHX5cckPpXhwfYUwEK7xfa540TtZlvHFYSfGfFaAt/YGHwgDwF5B1zARERFRRxbVn+xqQmetNvippe3bt6O0tBR+vx/dunXD1KlTkZSUpNhu9erVAIDTTz9dcd306dMB/FaTAQAbNmyA2+3GtGnTFBUR3bp1Q+/evbFu3Tr4/f4m7S8REUWv+CieFD5iE58izkk7ouD1iNUizaxBobPuc/7nIBab21vug0MQnA6vFwJP7mRU3F4Xixa94xt+rqaatfjszBSc+XURilzK16SdpV6c+XUx/tjHgqdGx+N/KlPC1/SLQYJRg2fGxOOaFWWK62UAt60px9ObKxGQIbyv+lblu+HwBWDR/RY0V3oCuH5lGb5RCYwbs6ec63sQERER1RbUJ7vc3Nyw3FlmZmZYbgeo3qeffvoJGRkZGDhwYNBf98Ybb9T5t9lsxvz583HHHXfUuTwnJwcA0LNnT8VtpKenw2q14tChQ4rts7OzhfebnZ2NAwcOIDc3F927d29wH12u0P7YJYoWHo+nzv8StVdGWRx+lDq9Ib3Wt+Zz52CZeJIxw+CDyxVcpyhRa4rU95YxKToszq27T7vKvCisdKj2jgPA+pPi14jB8XX/VvxTtg7/2i2htNYZCHcPMsHtbnwauZMBeH9KLC74oQJVKoO07+534Od8N3IEB4qsOgkzO2ngcrkwu7MGdww04/92KSspAKDAGfzBMJcfWHbUjjO7/BaA3/eLHd/kNvw9mbTAn3qb8NUxD07U60TfU+rh39gqIvW5QxTJ+Lwhaj4+j1qGySReUFgkqFB46NChIe9MDUmSUFJS0uzbAQCv14vrr78ebrcbjz32WFCTt1lZWXj++ecxffp0dO7cGWVlZVi5ciWeeOIJPPbYYzCbzbj++utPbV9ZWQkAiIuLE95ebGzsqW1qbx8fHy/cvuZ2KioqGt3XvLw8+P38wE3tX0FBQVvvAlGLCsiABDNk1J0YPlFaidzc0N8TW+O5s7fICKDu+2uSXkbpyeMobfF7JwpdpL239NHpANSd7g3IwA/7TmJUgnpQuuqYHoCyii3NVYD68xrvDwP+d1wPu1/CGSk+jDM4FNuoSQTwfD8N7thlhFcWn91wQNAXDAAzkr11XhMuSwCqMvX4V27zK+S+3F+K/oHq6d5KH/DJETMA8f7pJRkXZPhwZaYXKQYHDhQZcMJR92POvgofjh7LhWD9PPpVpD13iKIBnzdEzcfnUfhotVrVYVWRoEJhWW5+92E4bgMAAoEAbrrpJqxduxZXXHEFLrnkkqC+buLEiXW6ic1mMy655BIMHToU06ZNw3PPPYerr74aOl3bnxbbuXPntt4Fohbl8XhQUFCA9PR0GAwNdx4SRbvY9aWo9NZ9DwwYY5CZGdvk22rN507B9nIAdYOg7Hg9MjNTWvR+iUIVqe8t081evHS4UnF5uSkZmZnqkxzbt5UBqBsaZ8ZoMCRbeeZdJoDhypPbgpaZCXTv5MUd66pUA2CRa4ckITOlbgD8ZDcgaacDf9khnhiuLc0k4ZXxVtz8sx1Frrqvk79UGtG1azokScIHOS745CrhbUzN0OO5UTHoXqsfeVi5Az+U1L1/d0CCnNgZmVwsUyFSnzuh8AdkbCzxYUmuB7vL/UgwSLihnwkjU5p/oIKotvb0vCFqK3wetb2gEtCyMmU/GAD885//xCOPPIKJEyfixhtvRL9+/ZCWlobCwkLs3bsXr7/+OlavXo0nn3yyzhRuqAKBAG6++WZ8/PHHuPjii/G3v/2t2bfZv39/jBs3Dj/99BP27dt3qoqiZrK39jRwbTabDQkJCaf+3dgkcGOTxLU1ZdSbKJoZDAY+3qndSzJpUOmtG7JUeKVmPfZb+rkTkGXkVimDoex4PZ+zFPEi7b1lUJoBgPLvyUN29b/5jtp8yLEpp4jHpRtb7Hs7rasJazpZ8douO/6y1Qanv+GBjn4JOkzoYlWspQEAD4wyITXGjic2VSoOitWY1tmINyYnIs2sxZnH/Xi/XmfxCUcAh106DEjU46vjduFtvD4pEZf0NCv2YXCKDEAZSh9yatAvNXIeG5Em0p47jTli8+Hzw07sr/DB4QvA4ZWxrdSr6PD++rgH9wyNxX1DY6HjqDiFWbQ9b4giEZ9HbSfksdglS5bgwQcfxPz58zF//vw612VmZiIzMxNnnHEGnn/+eTzwwAPIysrCzJkzQ97RmgnhDz/8EBdddBFef/11aDTqPWxNkZycDABwOH77Y7SmSzgnJwfDhg2rs31BQQHsdjtGjBih2L52z3Bthw4dgsFgQNeuXcOyz0REFB2SjRrFom3F7sheaC7fEYCoNpiLzBE1XbxBg84WDfLqddzuq1Ap8QXw4wlxd+7pXVr2A5NBK+GOIbE4t7sZZy8parAH+Pe9LcJAuMY1/a2Y28OMZSfc2FTkweZiD/ZV+BCn1+CmgVbcMCAGml+//syuJkUoDADf57qQatJgxUnlz2Nwkh6X9rII77tfovi1am+5D7O6qe4yRQmPX8aL2214absN3iDeTgMy8PxWG1addONfkxPR1cr3MiIiIgAIOVV95ZVXkJSUhHvvvbfB7e655x4kJSXhlVdeCfWu6gTCc+fOxRtvvBFUj3Aw/H4/tmzZAqDuQninnXYaAODHH39UfM0PP/xQZxsAGDVqFAwGA5YvX66oyjh27BgOHDiAsWPHRkQ9BRERtZ4Uk/KttsQV2aHwEZs4rOrBUJgoJH0SlKeu7y/3qm7/wwnxgmindzaGbZ8akh2nw8IzkmHVqXT4aoBLVALZ2pJMWlzc04K/jEvA0tlpOHZ5Z+y8OAM3DbSeCoSB6qlhveBTyXfHXfjiiBMBwbDxRdlm1fvtGacT3t7eMvWfOUWHjUUeTFlUiL9sDS4Qru3nAg8mLSrE9hIuaERERAQ0IxTetWsXsrKyGp3W1Wg0yMrKwo4dO0K6n5rKiA8//BDnn38+3nzzzQYD4ffffx8JCQm48cYb61y+detWxbZ+vx+PPfYYDh06hEmTJiEjI+PUdVOmTEH37t3xySefYPv27acur6iowEsvvQSDwVCnzzguLg5z587FkSNH8J///OfU5bIs44knngAAXHHFFU3+/omIKLolmZTvWaVRGgp3ZxcnUUj6xCsPqOQ7AygXnDXgC8hYKZiMHZSkR7ql9Z6DQ5MNeOf0JIhy4bMzTUgRvLaFKs6gwfh0ZeC9vtCDt/eKu4Qv6KEeCus1EnrFKX/me8rVp7Mp8n1yyIEzvy5q1u+xzC3j3l8aX/gbqP4cV+UNhG1tHCIiokgT8siP3+9HbhDLGsuyjNzcXPj9wS9aUdtf/vIXLFiwAFarFb169cJf//pXxTbnnHMOhgwZAqA6RAagmMidOnUqBg4ciIEDB6Jz584oKyvDmjVrcPDgQXTp0gUvv/xyne11Oh3+8Y9/4MILL8Q555yDuXPnwmq1YtGiRcjNzcWTTz6JrKysOl/z2GOPYfXq1bj77rvx008/ITs7G2vWrMGGDRswc+ZMXHjhhSH9DIiIKHqJJoXtPhkunwyTyhReWztsE79nsz6CKDT9BJPCALC/wosxaXXD0I1FHmEP7/RWmhKuc59dTPjHaQm4dU05aiqGY/USHh/V+BoZTXVGV6MiDPfL4iB3bJoB3RqpAOiXoFd87YEKL/wBGVr2ykYdt1/Gvb+UC6fGm2pdoQdHbT5k1XtP8wZkfHXEiR/y3NhX7sX+ch8qvTLiDRKeHhOP3/eOaf6dExERRZCQP90NGjQI69evx8svv4xbb71VdbtXX30VRUVFGDduXEj3c+zYMQCA3W7HCy+8INymW7dup0LhPXv2AIAigL3llluwceNG/PTTTygrK4PBYECPHj1wzz334JZbbqmzaFyNyZMn49tvv8Wzzz6Lzz//HF6vFwMGDMDjjz+OuXPnKrbPyMjAsmXL8NRTT+H777/Ht99+i8zMTDz00EO4/fbbG+xdIyKi9inZKD6jpsQdQBddZE7eHhVMCpu0QIY5PF3+RB1NnwT1jtv6ofAPbdQnrOay3jHon6jHRzkOaCUJV/WNQQ/BFG5zndXVhD9vEC/wXN/cBqaEa/RL1AFH6l7m8gNHbH70FExuU2TbUepFmVucCGskIM2kgUUnIc6gwbBkPWZnmWHVS7hhVZmi1x8AFh9z4eaB1lP/DsgyLltWgqWC51+FR8atq8sxJEmPIcmG8H1TREREbSzkv4huvPFGrFu3Do8++ig2bNiA6667Dv3790dycjJKSkqwd+9evPnmm/jqq68gSRJuuOGGkO7n9ddfx+uvvx709mvXrsXIkSMxderUOpc/9dRTId3/yJEj8cknnwS9fUZGRrP6k4mIqH1JFkwKA0Cxy48uMZEZCh8WhMLdY3U8uEkUon4qofB+wRTsj4I+YYtOwrj0tgujhqcYMDylZe+/d7wO3WO1wgCvNo0EnN89iFBYZTp7T7mXoXAU2qPSBz04SY+XT0vAMJXH57ezUjFgYb5iwnjxUWedUPjTQ05hIFxDBvC//Q78dTxDYSIiaj9C/ovovPPOwz333IMXXngBixcvxuLFiwFUdwjXVDjU9C/dfffdOO+888Kwuw2z2WzYsWMH3nnnnRa/LyIiomCohcKR3CssCmVYHUEUuhSTFklGDUrrdQjvr6gbdJW6/NhcrAy/JmYYYNS274MykiThwh5mvLjd3uB2kzKMQXUr929gOnt2lvAqimB7VXqEPz0zGWlm9cdDhkWL8ekGrMmvu7jcLwUeFDj8px5Lb+8Td1fXprYAJBERUbRq1nmgDz30ED7//HNMnDgRGo0GsizD7/dDlmVoNBpMmjQJn332GR5++OFw7W+DYmNjUVJSgtmzZ7fK/RERETVGrT6iOEJDYZs3gCLBvnGROaLm6SsIKesHXStOuiE6Qb6tqiNa262DYjEmteFJzAuzG58SBoDsOB0MgpffveXiiVOKbKLfW4pJ02AgXGNOlvIxIwP4+lh1yLunzIufCzyKbeo7ZPPjcCUXKyQiovaj2WM/U6dOxdSpU+FwOHDo0CHY7XZYrVZkZ2fDYrGEYx+JiIiiVopJ/IG1xB2ZofBRlVO3e3BSmKhZ+sbrFMFTrt2PKm8AMfrq9FKtT3h6l9ZfZK4tJBg1+HpWCt7YbcdzW2yw++pG5HF6CecKAj4RnUZCr3gddpfVDfHUaggosol+b2q1LPXN7mbC/esqFJcvOurEVf1i8N8gpoRr/HDChWvirI1vSEREFAXCtmKMxWLBoEGDMG7cOAwaNIiBMBEREdTrI0oidFL4iKBPGGB9BFFz9RF03MoADlRUP+dkWRb2CWdatejVAgu7RSq9RsItg2Kx4cJ0zKs1FWzWSvjbhAQkqJx9IdJf8DM/UOGDr37BLEW0cncAeQ7le6bo9yvS1arDyBTltqtOupFX5ceHOY6g92XZrwduZFlGXpX/VF0iERFRNOIy4kRERC0o3iBBVAUaqaGwaJE5gPURRM2lutjcr6HwgQqfMPia3tnYIRd57GTR4l9TkrBjXjo+OSMZmy9Kx4XZTRs6Ef3MPYHfagMoOuxTqfzolxj8wRJRhYRfBq5fWYoKjzLYvbSXBcOSxUHyypNuDFiYjwEL89Hnw3ysyFNfoI6IiCiSMRQmIiJqQZIkCaeFS9zimoa2plYfkWXtOJOKRC2hT7z4OVQTeK08KQ6WpnWQPmE1mVYdZnQ1oVMQi8vVN0qln/jvO2yc8IwiaovM9QtyUhgQh8IAsCpf3CV8Vd8YzBA896p8Ms79thgnfz2AU+QK4Pc/lsDhi8wDvURERA1hKExERNTCUgSnO0fqQnOiSeHOFg1Muo43qUgUTl1itLAKnkf7fg28VuUrQ2EJwKSMhhdeI3WTOxmFZzlsLvZiTRALi1Fk2K3SA90/yE5hAOgZr8OAICeLBybqMCpVj9OD7PK2eWWsOsnHExERRR+GwkRERC0sSTApXBqhoXBNv2lt7BMmaj5JktBHEGLtr/AhIItDpUFJeiSpLFZJjdNqJNw6SLwo2D922Fp5byhUoknhdLOmyc8NtWnh+q7sGwNJkjA6zYA4fXAHRHPt4mlmIiKiSMZQmIiIqIWlCD64RuKkcInLj2N2ZX1Eb5XT3omoaUQVEjmVPmwr8aLUrXxNmNSJU8LNdVmvGKQIDsx9f9yNXaXiCVSKLHsFncJNqY6ocV73xkNhi07CvJ7V3dV6jYQpnYObFs5zRGYlFBERUUMYChMREbUwUadwqTuAQIR1Wm4pFgckI1IYTBGFgyjI8svAf/dVCbef3Cm4QIrUmXUSrusfI7zu5Z2cFo50Ze4ACpzKAyZqCzc2ZECiHr/r2XAw/LueZsQbfnvPnh5kp/fxKobCREQUfRgKExERtbAkQaewXwYqBSuet6UtxeJOxOEpTZ/IIiIlUX0EALyz36G4TCMB49MZCofDNf1iYBH0OX9yyInjPO0/ou1R6xNODO196f8mJOK5sfEYmaKHsd5JPH3idXh0ZHydy4LtFc5jKExERFGI54MSERG1MNGpywBQ7PIjQRAYt5XNgklhkzb0D99EVFdTTnkflqyvM7FIoUsyafGH3ha8safuRLZPrg7kHxoR10Z7Ro3ZI6iOAEKbFAaqJ8dvGGDFDQOs8AZk7C/3YX+FF2adhOldTNBr6h486GbVoW+8DvsEffu1MRQmIqJoxL80iYiIWpioPgIASiKsV1g0KTw4Sa/4kExEocmyahXTiWpYHRFeNw20Qit4Kfv4kANyC1T5FDn9eGZLJeZ8U4QLvy/G8hOusN9HR7C3TBzGhtIpXJ9eI2Fgkh4X9LBgZqZZ9b1udlbjFRJ5Dn+LPI6IiIhaUrMnhT///HMsWLAA27dvR2lpKXw+8Ru3JEkoKSlp7t0RERFFHfVJ4cgJhU86/MgX9DYOZ58wUdhoNRImpBuxPM/d6LaTGAqHVVasDmdnmrD4WN1w9ojNjw1FHoxJC8/P+6jNh1d22vG/A1Vw1RoeXXnSjWWzUzE0ma+pTSGaFO5s0bTqWTa3D47FRznOBnuDXf7qtQKSBQvLEhERRapmhcLXXXcdPvnkk6COivLIKRERdVSiTmEAKHFHTii8uUitT5gBBlE43TE4ttFQWCcB49L43Au3i3taFKEwAHyc4wxLKLzgoAO3rymDR/DS7g0Af9lqwwfTk5t9Px3J3nLlwFE4poSbIs6gwS8XpGHBQQd8AeCY3YfXdysXhzxe5WcoTEREUSXkQ6wffvghPv74Y/Ts2RNffPEFhg8fDkmSsGXLFvz444/4y1/+gp49e8JsNuPll1/Gtm3bwrnfREREUSNF5UNiJNVHbCkR9zaO4CJzRGE1pbMRl/Q0N7jNqFQDYvRseQu3M7uaEG9QVgR8etgJb6B5Ayz5Dj/uWlsuDIRrLD3uQqmL3bPBKnL6hWfU9Ets/WVxrHoNru1vxY0DrZjaWVwnwV5hIiKKNiH/tfnBBx9AkiT861//wpQpU2A0Vh9d7969O4YPH47rrrsOa9aswaRJk3Dvvfeiqkp5NJWIiKgjiIZOYVGfsFUnoVcc16QlCrenxsQj0aje1c3qiJZh0kk4r7sykC91B/BDMzt/PzvshNPfcLDsDQCfH3E26XbL3AEsOOjAt7lO+JoZXEebPYIpYaD1J4Xr6xIjPtCb52AoTERE0SXkUHjnzp3o1KkThg0bVufy2jURRqMRr7zyCvx+P1588cWQd5KIiCiaGbUSYvXKAChS6iNkWcZmQSg8NEUPLReZIwq7FJMWT46OV72eoXDLubinRXj5wpymhbX1LQoy7G3K/Wwt9mDQwnzcuKoMlywrxdlLiuDydZxgeG+Z+AyW/hEaCp/gpDAREUWZkENhu92OjIyMU/82GKp7z2w2W53tUlNT0b9/f6xZsybUuyIiIop6ol7hkgg5jfio3Y8ytzJoGM4FkYhazOW9LDgtQ/kcs+gkjEnlc6+lTEg3oKsg1FtyzInKhrofGpBX5ccvheJe9vrWFXpwxCaegK1NlmXctKoMVbVC4A1FXry7v+OcfXlI5efUN6Ftz2BJMEiw6JQHTBkKExFRtAk5FE5NTa1TCZGcXL1owqFDhxTbOhwOlJaWhnpXREREUU9UIdFYfcS2Eg++POIMKkBoDlF1BMA+YaKWJEkS/j4hAcn1DhjdNSQWJkHgROGhkSTMy1ZWSLj8wFdHQ5sWXqTydX3ixeHlRzmORm9z5Uk3dgvqE7473ryai2hyUlDHkGTUIM7Qtn3bkiShs0V5YIGhMBERRZuQ31EzMzORn59/6t9Dhw6FLMtYsGBBne22bNmCnJwcpKSkhL6XREREUS5FEAqLFtCp8eSmCkxZVIQrlpdizGcFeP9Ay02HbSlWWWSO04pELapXvB5LZ6fidz3NmJRhwN/GJ+D2wda23q12b16YKyS+VKmOeHtqEkT5/sIcR53KPZE39ohf83844Uagka9tL05WKd8jO1kiYwHGzoJpcy40R0RE0Sbkc28mTZqE9evXY+/evejXrx/mzp2LZ555Bv/6179QVFSE8ePHo6CgAG+99RYAYNasWWHbaSIiomgjqo8oVekUPlTpw0vb7af+7QkAD66vwIz0hBbZN1GfcKJRQpZV3JtIROGTHafDG5OT2no3OpQBiXoMStJjZ2ndA2IrT7qRa/ch0xr8R6R8hx+/FChfQ8elGTAoSY8ZXU34NrfudG9OpR+J/81DrF5CVqwOL4yLx7j033qkj9p8iq+pbW+5DwMS2/+ZHKKF20QTum1B1Cuc5/BDlmVIEif9iYgoOoR8qHXOnDkYOnQodu3aBaB6cvjxxx+HLMv4/PPPMX/+fLz00kuoqKhAnz598NBDD4Vtp4mIiKJNikn5AdLmleEWrFb/4wkX6l9a4ZGxLE880dscAVnGthLl7Q5PNvCDLRG1W78TVEjIAD5q4rTwoiNOxes1AJzXvfr2f9dTeT81bF4ZO0u9mPNtMdYXuk9d/u+9VQg0MAy8Icj+4mgWkGXkC0LhTiqLvLW2LoJw2uVXP9hLRO3X2nw3fv9DCQYtzMdVP5XiUGXL1r4RhVPIk8JDhgzB8uXL61x2ww03YOTIkViwYAGOHj0Ks9mM0047DVdccQUsFvFpWkRERB2BqFMYqO4Vrn8a6ncqE2LLT3owpmt49+tAhQ82r2CROfYJE1E7Nq+nBY9tqkT943IfHKjC3UOsDR4UO1DhxeqTHsgA7ltXIdzm3F9D4ZmZZsTpy1EpeJ2t4Q0Af1peipXnpcGikxpdTG5doQdX9I1RXO7xy5ABGLXRf0CvxBWAT/Ajy4jgSWGgulc4WXAQmIjan5wKHx7dWIHFx377u/34YSf2lnvx4+w0rg9AUSHsS7eOHj0ao0ePDvfNEhERRTXVUNitDIXVooNtpX4gzKHwhiLxxNnwFPYJE1H7lWHRYkYXI7477q5z+SGbH78UejC+Vp1DbV8eceKaFaXwNjAQOibVcCo0NOsknNvdjPcONLy4XJ4jgKt/KsO53U0o9zTcGby+3qRwQJYxf10FPvj1Ps7pZsJjo+KFvbfRQlQdAUROfYTaz/ZElR9Dklt5Z4ioVcmyjBe32/HclkrhwavdZT4sOurExSr99USRJDKa+omIiNq5ZEGnMACUuJQffHNUTjs7UOmHoP63WTaqnIY8iovMEVE7d1lv5bQtgFPhan0ev4x7fylvMBAGgPN61K2MuK5/DIIZ3l1x0o27fxZPHtd2sNJX573jhW02/GtPFap8Mqp8MhYecmLs5wV4c7cd/oZ6KCLYSZVQuFOEhMJqk8JqYTYRtR9fHXXhqc3iQLjGwpyGDwQSRQqGwkRERK0gpYH6iNo8fhlH7eofKjeWh/cD8XrBpHCmVRsxp+gSEbWUmZkmJBqVae0XR5yoEiS/P+W5UehsvDP23CxTnX8PSTbgtUmJp94HEo0SOlua9zGsZlq4xOXHP3bYFdfbvDLuW1eBs5YUIa8q+oLKk1Xin3OnZv7cwqWh+ggiWZbhi9IDMtS4/+5ruOIHAH7Mc6PQydcDinxB1UfcfPPNAICMjAz8+c9/rnNZsCRJwiuvvNLE3SMiImof1OojiuuFwkdsvgYXGNpYocW1YdqnSk8Ae8qUU8ljOCVMRB2AUSvhomwL/rWn7gd8m1fGV0dduKRX3VN/Pz/S+CJ049MNyLQqP2L9rqcFv+tpgdsvw6CpXpBsyqIiHA8xRNxQ5MHZ3cx4dZcd9gbG1TYWeXH5jyX4cXZqVC0eqlofESGVGAkGCRadBEe9nz1D4Y5BlmX8XOjF5nwtusON7gkaxOglrDrpxre5LqzN98Avy7gw24L/m5DQLnq+qVq5O4CVJ92NbheQgU8POXHjQCv2lXtxosqPMWkGWPWRcWCLqEZQofAHH3wAAOjTp8+pUPiDDz6AJEmQ5eCOgDEUJiKijkxt4ZmSeiuVq1VH1NhQHr4/JjcXe4T9xaPTGAoTUcdweS9lKAwAHxx01AmF3X4ZXx9rOBS26iQ8PTq+wW1qwqFkkxb/nZaEs5cUNVhHkWXVIt/ph7te1riu0INSlx9v7m58Ym1LsRdbS7xR1RUvqo/Qa4AklSqm1iZJEjpbtDhY7z07GqeyqWlkWcb1K8uw8JATgBE4aAegnNYHgAUHHdBKwCsTE1t1H6nlfJvrarA2orYFBx04UOHD279OFsfpJXx8RjLGqnTWE7WFoELh+fPnAwCSk5MVlxEREVHj4g0StBIUK92X1psUrv8Bs748twZH7X70NTW4WVDqL1ZUg5PCRNRRDE3WY0CCDrvL6772rjzpxsEKL3rF6wEAP5xwoVKwAFwniwY3DrDCpJUwq5sJXQVTwmpGpRrw3Nh41R7hkSl6/OO0RDyysQI/nKg7mba5yIu/72h4Sri2JcdcURUK5wtC4QyLFpoImnbuHKMMhTkp3P59d9z1ayAcnPcOOPD73haMYxDYLnx1VPy7TzNrFPVC20u92F7qPfXvSq+MK5aXYstFGTDrIue1jDq2oP5quf/++4O6jIiIiMQ0koQkowZF9ULg+vURORUNh8IAsKbAi74pzd+nDYJQ2KQFBiXpm3/jRERRQJIkXNrbgj9vqFRc98wWG96emgQA+OKwOAj479SkZk19Xd3PinSzFn/bboPTJ2NAkh6TMoyY1MmIHrFaSJKEMWkGRSjs9Mv4+07xdKLIt7kuPDQiLuT9bG2i+ojOEdZ1L+oVznP4IctyVFV1UNO8t7/pC4jd/XM5VpybBp2Gj4toVuUN4IcTLsXl/RJ0uHGAFbevLW/0NvKdAby7vwrXD7C2wB4SNV1knH9DRETUAYgWm6u9gjzQ+KQwAKwu8Da6TWMCsowNgkXmhqcYYGD3HRF1IL/raYGo5vGzw05sLfbA6ZOx5JgyCOgaow1L3c7sLDN+mJOGtRek460pSbiibwyy43SngsWxTbiPszJNmJmpPJVkR6kXx+2Nv79EClF9RKdIC4UF++PyV/dFU/tU7g7g++PK14LG7CrzCWtqqOXIsoxfCtz4774qHKxo/t/NALDshBsuwckAs7PMOK+7GYYg07W/77DBXf/UQaI2wlCYiIiolSQJQ+GmdQoD1aFwsJ3+anIqfSgXnAo9mtURRNTBpJm1+FPfGOF1T22uxNLjLmFNw/ndza1SZzAixYBg7+X+YbE4WxAKA9XTwtHA6ZNR5lb+vDMskfXRVTQpDLBCoj1bdNQJT4iZ/7NbKoW1KBR+sixj/roKzFxSjDvWlmPUZ4W4aVUZKkP95f1qsUp1xJwsExKMGpyl8tpbX54jgA8ONH3inKglBFUfkZubG5Y7y8zMDMvtEBERRSPhpHCtiSK7N4CTjsb/YC10ydhf4UPfhIZrHladdOPpzZU4avdhTJoBfxufgKRfF7xT6xPmInNE1BHdOzQWHxxwoKpe+LvshBubi8VTZhf0MLfGriHOoMGARB12lTV80PCsrkYMTzGoTtR+m+vCNf0j/5RlteAs0uojOquEwnkOP4YkC6+iKPdRjjjIu2OwFUlGDTIsWkxIN+CipSXYW6+nvNIr45ENFXhzSlJr7GqH9ulhJ96sN5n9wUEHVuW78drEREzq1PTKH7dfxneCA2vdrFoM+bV27eKeFnx1NLiDb3/bYcPv+1igZ6UItbGgQuGhQ4c2+44kSUJJSUmzb4eIiChaJRuVHyBLXAF4/DIMWimoKeEaK/LcDYbCb+2x4751FQj8mm98ecSF/eXFWDY7FTF6jbBPGOAic0TUMaWZtbhxgBUvbLcprhPVAWRZtRiR0nr962PTjA2GwhKA+cOqO4MzLNX7Vj/MXnnSDZs3gFhRV0YEEVVHABFYH8FJ4Q4l1+7Dmnzl305Dk7R4bFR8ncv+Oi4Bc74tVmy78JATdwzxYkAi125oKTZvAH/eIF68M9fux7nfFuOmgVb8eUQcTE1Y7G3lSTcqvcozGOZkmU9V/ZzZ1YR4g4QKwZl49R2z+7Ewx4HLe4vPUiFqLUH9RSDLcrP/CwTYrURERB1bJ8Gprz4Z+Lmg+kPGoSaEwjVfU19AlvHnDRW455ffAuEae8p9uG9d9R/K6wV9wt2sWqRH2IduIqLWcutgKxKNwYUEF/Qwt+piYn/sY1G9zqgFnh0bjxG1DuqJKiQ8AWB5vQXrIpFqKKwSwrYVtVA4j6Fwu/TpIXF1wIVZyqnTSZ2MmJctPpPgjd3BLxBJTffCVluDZ93JAF7dZce0rwqxrUT8t7TIl0fUqyNqGLUSbhqoPBtjUoZ44OKl7Tb46/+xTtTKggqFy8rKhP89++yz0Ov1mDZtGhYuXIjt27cjPz8f27dvx8KFCzFt2jTo9Xo899xzKCsra+nvhYiIKKJNyBCfrvZtbvUfmgcrxKFwnF4ZPKwrdFcfdJWrT2e7bmUpzvq6CP0/ysfLDaxI//4BB97aY8cewcQZ+4SJqCOLN2hw1+DYoLY9v3vrVEfUGJZiwN8nJCDeUP1+kGXV4vLeFrw+KRHbL8rADfVWsp/ZTbx/30RBr3BelNRHJBgkmAULs+ZUMhRujxYeUlZHaCDjfEEoDABPjo6HRTCJ+lGOQ7HIMIXH/nIvXgsydN9T7sOMxUX4+w5bo+t0LMxx4H1BB3C6WYMx9WrX7hoSixsHxCBOLyHdrMFfxsbji7NSMCBBeZJ+TqUfS6LgNZnat6DqI0SWLFmCBx98EPPnz8f8+fPrXJeZmYnMzEycccYZeP755/HAAw8gKysLM2fObPYOExERRauxaQYkGCTFAm/f5rrwzBgZBwWTwgYNcGG2Gf/ZV/eP0TxHALlVfvx3XxVe2t60qZN7fhGfVsc+YSLq6K7pb8Xru+3Ia2DS7LQMA4Ymt/7p31f0jcEVfWPgD8jQNtJDOShRh64xWhyvN7X6fa4rqK9vS2qTwpG20JwkSegeq8Weet2xS4+7YPcGYI3wmg4K3s5SL3YLDqaPSQggzSz+PWdYtLi0lwX/3lu329blB/67z4G7hwZ3AIqCU7O4nLcJJ6h7A8CjGyth1EqKA2s1vjrqxI2ryiCKjc/pplxsVK+R8OzYBDw7NqHO5XcPjcXVK5SDkouOODEnq3UPMhLVFvI71SuvvIKkpCTce++9DW53zz33ICkpCa+88kqod0VERNQu6DQSzuiqPKX3sM2PAxU+YadwdpwOE9LFUyifHHLi7zvCdxoi+4SJqKMz6yQ8Py5B9frpXYx4fVJiq1ZH1BdMoCtJEs7upny/KXEHsEFQHxRJTlYpU514gwSLLvJC1mldlO/PVT4Zi4NcbIqiw8cqC8zNTG249uv6/uK+2Lf22uHxszYgnD455MTyPGU9jk6qXghQsKzHKU9uqkSpYHr7hxMuXPVTKUS/Ko0EXNkv+D7g87ubkWlV7sR3uS4+FqhNhfzOumvXLmRlZUGjafgmNBoNsrKysGPHjlDvioiIqN2YKeh5BKqnhQ8I6iOy43QYmy4Oa/9vu034h2ptwa6hYdICg5K48AkR0ewsMz4/MxkXZZsxt4cZDw6PxYczkrD74gx8emYKullDPtmyVYl6hQFgWYT3Cuc7leFMpFVH1Likp7jr+UOVEJGijyzL+PKosk/WrAWmJjdcA9EnQY8zBAcOTjoCqh211HTbSzy4bU258LrrB1jx2Kh4/DQnDYNV/s6t8sn45566E915VX5cubxUdfL4kRFxqrcnotVIOFcwEVzplbHyZGS/JlP7FnIo7Pf7kZub2+h2siwjNzcXfj97c4iIiKZ3MUFQQYgPDjqEqxX3itMhM0aLzoLTZkWrINeWZNTgy5kpuKpv45MM53c3wyDaMSKiDmhaFxPempKEt6cm4b5hcZiZaUbnCFvorDGnZRgRIzgyuDnCJ4VFC7V1itBQeHCSHgMSlQcJVuS5cYILzrULByp8OGJT/i7P6GJATBDHh24ULDwGAK/ttjfaZUuNK3b5cfmPpXAKpiTSzBrMH1Zd09E/UY8fZqfi7iHi38cbu+2w1UqAX9xuU/07++4hVtwxpOn1H7UXpattseCgA1FrCTkUHjRoEIqLi/Hyyy83uN2rr76KoqIiDB48ONS7IiIiajcSjBqMF0z+7i0Xn4LYK14HSZIwNk1cIVFfZ4sGV/eLwXNj47HugjSclmHEM2PiG5wCHp2qx59Hxgf3DRARUVQwaiUMT1G+9m8u9kRsGCXLsnBSuFOEBvKSJOFSwbSwDOATwcJkFNm+POLEhC8KMPCjfDy6oQK+QPViviKzugZXuTWtsxF945Xp8ZZiL9YVRvYBmkjnDcj40/JS5NrFB2CeGROPOMNvkZdBK+HPI+NxluAsigqPjLd/7X/Otfvw7v4qxTZAdSXIwyPiQtrfMWkGYQf118equ96J2kLIofCNN94IWZbx6KOP4o9//CNWr16NkpISAEBJSQnWrFmDK664Ao888ggkScINN9wQtp0mIiKKZmoVEiI946o/SKhVSNR3/QArXhyfgBsGWJFqrv4QbdJJ+OSMZEz49Tb0GmB8ugH3DYvF4rNT8P05qegSoR+4iYgodCNTlO8d5R4ZhwWTj5Gg1B2AW7BrncyR+x51UU8LRDXPCw46IjZ8J6XNRR5csbwUu8t8OOHw4+877XhyUyW+O64MhbUSMLVTcNUBkiSpTgu/uM3WrH3u6J7bUonV+eJg/Zp+MbgoW1zvojYt/OouO5w+GS9ttwlrI+ZkmfDs2PiQO+U1koRzBF3vRa4A1kf4GRzUfoVciHXeeefhnnvuwQsvvIDFixdj8eLFAKo7hAOB6mdQzZvg3XffjfPOOy8Mu0tERBT9Zmaa8PCGyqC27VUTCqcFFwrPEvyxCVSvgr1kVioqPQGYdRL0EbzyPBERhccIlQVENxd7kB0Xed3IeQ5xgWenmMhbZK5GJ4sWUzsZ8WO9Ra72lvuwrcSLYYJgniLPm3uUC/e+vtsuXLthbJoBCQYNgo10L+5pxuObKlDmrntjS0+4sb7QjTFBng1Gv6nwBPD6bvE074R0A54dq34G3Jg0IyZlGLCqXqBc6Azg2S2VeO+AcspfKwGPjYyHppmLjM7OMuM/+5S3/9VRJ8arLCxN1JKa9e760EMP4fPPP8fEiROh0WggyzL8fj9kWYZGo8GkSZPw2Wef4eGHHw7X/hIREUW9XvH6U2FvQ2L10qnTzAYl6dHYoFSvOB16xzc8uRJn0DAQJiLqIET1EQCwKUKn0vId4gnmSO0UrnFJLy44F81kWcbyPOViX54AhKFwU874AgCLToNr+4unU5/ZwmnhUGws8sDhU/5yusZo8e7pSY3+rXv3UHEn8D922oVTwhf3tKCnoAakqSZlGBFnUO7b4qMunllAbaLZh1ynTp2KRYsW4dixY1i1ahW++eYbrFq1CseOHcOiRYswbdq0cOwnERFRuxLMB4o+v/YJA4BeI2FEcsN/jKpNCRMRUceUGaNFqkn5kW9LsbcN9qZxJ1VC4c4RHgqf080Eq2BRv88OOxn0RIGjdj8KnOIpdRFRJ21jbhpgFYaBP+W5sSZfGUhTw9QWzHx9UiJSTI2/XkzpZMRIlYNm9Wkl4F6VELmpDFoJM7sqHz/H7H5sL43M12Vq38J2Ho7FYsGgQYMwbtw4DBo0CBaL+GgpERERBfeB4ve9Y+r8e0xqw3+8ns1QmIiIapEkCSMEwce2Ei98EbiwUV6VOBTOiPBQOEavwbndzYrLC50B1UoMihyrmxDKZlm16BPCxGiCUYNbVLqFn9lSyYMHTbRJcGDLpAXGBbkGhyRJuGtIcEHv73pawlq3MztL+VoBVE8LE7W2sIXChYWF2LJlC9asWROumyQiImq3xqcbVD9U6DXA/GGx+H2fugdYR6eo/0GabNRgjEp3JBERdVyiXmGnX8aecl8b7E3DRJPCWgnCaedIc1qG+D1YbfqZIscalcXKRM7KNIW80NgNA6xINCq/dk2+B6d9WYjfLSvB37bbUO7mgYSGyLKMzcXK39mQJEOTKtLO7mbC+EZC5HBOCdeY3sUI0TDzN7kMhan1NfvddeHChRg/fjz69euH6dOn49xzz61z/SOPPII5c+bg5MmTzb0rIiKidkOnkfD6pERkx1b/VaiRqk9l+8dpCdh/SSc8MDxO8YftqBQdJIgnSc7KNEHLrmAiIqpnhMpCZ2qnX7clUYCaYdZGxftblxjxNPMJlelnihxNmRRuap9wbXEGDW4bJA4Yd5f58F2uC49vqsQ53xTBIyozJgDVz6lCQd3HiEbOqKtPI0l4//QkXNbLAkH7CwDgsl4W9Ajzopwxeg1O76J8HO0s9aLYxdcLal3NCoXnz5+PG264AXv37oVOp4Ner1ec9tC/f3+sXr0aS5YsadaOEhERtTcjUw1YPzcdWy5Mx5HLOuHLmSn4Y58YJBrFb89xBg16WsQfElgdQUREIqL6CADCSbu2JgpQO8VE/pQwoN57rFaJQZHhqM2HXHtwv6MYnYTTMozNur9r+8cgWeXvvBq7ynz4+pizWffTnomqIwBgpMoBsIYkmbR4bVIits3LwB2DrYiv1fs8LFmPp8fEh7yfDZkhCIUBYNVJ9kuHmz8gwxuBdUmRIuR32CVLluDNN99ESkoK/ve//yEvLw8jRoxQbHf22WdDkiR89913zdpRIiKi9kinkdAjToc4Q3BvyUPjlB9cjFrg9M7N+5BCRETtU7JJiyyrMrBUC1baypJjTuwqU1ZadIrwPuEanVQmhfNYHxHRmrLI29TORhi1zZtat+o1uGOwuFu4tl8KIu+gTaRQO8tB7ayIYHSJ0eKxUfHYfXEGvpmVgiVnp+DHOalB/33eVFM6if9uX5HHUDjc1hZ40GvBSVy3shSLjjhR5WU9S20hP8L//e9/Q5IkvPHGG5g9ezZ0OvFIfUJCArp27Ypdu3aFvJNERERUbV4nH+qfRXtNPyti9NExSUVERK1PFJbsKfPC4YuMD8cFDj9uXV0uvG5YcnT05cfqNYgzKANDTgpHttVN7BMOh+sHWDG1kYP520oi66BNJNkkOMsh3iAhO675B5Bi9BqMTzdiQoYRmhC7o4ORHadFV8GBpBWcFA67r485UeGRsTDHiT8uL0WvBfm47IcSFDr52gw0IxTesmUL0tLSMG3atEa3TUtLQ3Fxcah3RURERL/qGSPjv5NiMSBRh86W6pWsHxwe3gUwiIiofRF1bfplYEcEBE+yLOPm1WUoESyuFaOTcFlvi+CrIlMXwVQzJ4Ujm6hPOMOsUQR2KSYNzs0yh+U+DVoJH5+RjPdPT8Ktg8RTwztKvfDzlHcFf0AWBuYjUwwhLwDYFiRJwiTBtPBhmx/H7JG3CGi0kmUZi4/WXcDP6ZexNt+tWtfX0YT8U7Db7cjIyAhqW5/PB602Ok77ISIiinRndjFg7fnp2P27TnhqTDynhImIqEFqp1VHQoXEW3ursOyEeDruubHxUVMfAQCdBZN/xzkpHLGO2X04JugTPjPThA+mJ2FYcvXBlJ5xWrwzLQkJYQyR9BoJ52SZ8eToeNw7VHlwv8onI6eS4WB9Byp9sHmVYXlzqiPaCiskWt62Eq/wNfisTJNiQe+OKuRlFFNSUnDs2LFGt/P7/cjJyUGnTp1CvSsiIiIiIiIK0dBkPTQSUH/wcEuxB+gZ8kfCZqv0BPDEpkrhdXOyTPh9FE0JA+LF5k5W+RGQ5RY9FZ1Cs0alOuK0DCOGJBuwfE4qfDJaPDwamixeDHJbiRd9EsTXdVSb1PqEBWdDRLopKhUiK0+68Yc+Ma28N+3T18dcwstnh2nqvz0I+VDX6NGjUV5ejqVLlza43ccffwy73Y4JEyaEeldEREREREQUIqteg37xyvD362Mu7K1ou2nEH064hFN/GWYN/j4hIapOBwfEk8I+GShyRkZ3M9Ulqo4AgNPSq6dOJUlqlWnCYQ2EwiIlLj/2lXuxp8yLnaVe5Np9kOWOUTWxReXshmicFO5k0aKP4HV55Ul3h/l9Nsbjl/HJIQfO/bYYvRacxPSvCrH0uDjoFfn6qFNxmYkLdNcRcih89dVXQ5Zl3Hnnndi2bZtwmxUrVmD+/PmQJAlXX311yDtJREREREREoRuZqgxNHD4ZV6+yoa0qLHeUigOeVyYmIskUPbURNboIQmGAvcKRao0gFO4Rq0VXa+tOz3eJ0SJZUE2xraTuVGyR049zvy1GzwX5GPt5IcZ/UYiJXxZi8McFmLKoCEdt7b9uQrTIXBeLFhlRVDNTm6hCosAZwN7y9v+7LHT68dJOB27fZcQLOxx1Fj61eQN4ZkslBn2cj2tWlGHlSTeKXQFsKvZi3tISPL+1stHg/FClD7sFP8fTu5hYvVdLyD+JyZMn49prr8WJEycwY8YMnHnmmcjJyQEA3HTTTZgyZQouuOACVFZW4rbbbsOwYcPCtc9ERERERETUBGpVDDm2AJ48YGiTybRdglA4Ti9hepfonOIS1UcAwAn2Ckcct1/GEZvy93JaRus/9iRJElZIbCv11nlePrShAitPiqebt5d6cc/P5S21ixHB7ZexU/CaEY3VETUmq0ysrlD59BCMFAAATilJREFUPbcXS445Mf7zQjy/w4m1ZVq8sNOJK34shT8gw+YNYMZXRXh+qw2FKmdZPLPFhit/KkOVV/0sDNGUMADM7mYKy/fQXjQrHn/++efx2GOPwWQyYcOGDSgqKoIsy1iwYAG2b98Ok8mEP//5z3jsscfCtLtERERERETUVGPTjbi6n7in8scSHf65N/hTcsNlV5lyimtgkj7qaiNqiOojACCPoXDEKXGJw6TsuLbp2BaFwpUeGUd/XQjP7Zfx5RFxyFVj6Qk3CtrxVPrOUi9EGeDIKKyOqDEpwwhRQ0m4F5ur8ATw331VeG5LJfaVt90Co1XeAO5cW4bLfihFibvuL3PpCTe+POLE33fYsS+IWqMvjjhxzjfFsKsEw4sFfcJaCZiZyVC4tma/4t1+++244oorsHTpUuzcuRPl5eWIiYnBgAEDMHPmTKSkpIRjP4mIiIiIiKgZnhkTj63FHmwS9HI+vc2B2dlW9I5vnam7MndAuCr8wMTonfpjfUT0KHWLgyRRjUNrGJosDja3FnvRPVaHbSUeuIN4GP1wwoXLerfPRcrUFpkbHsWhcIJRg6HJekVX8pp8N3wBGbowdFoXOf04/7viUwfhnttqw2dnJuP0Lq0bjtq9Acz5tli1FxoAnt5SiQJH8B3sW0u8eHh9Bf7vtMQ6lxc4/FhfqHy8TEg3RGU1UUsKy2GwhIQEzJs3D/PmzQvHzREREREREVGYGbUS/jstCVMWFSlCMZ8MPLyhEh/NSG6VfdlVJg4GBiVFbygcp5dg1Umw++pWcXBSOPKoTQonmdoqFFZbbM6D83uYsa5AHIjWt+yEu92GwjtVXjOGpUTvawZQ3StcPyit9MrYWuLFKEEXfFPd90uF4qyM29aUY/u8dGha8ayMxzdVNhgIA0BOZdNfK9874MDdQ2ORWasL/IsjTogKkc7JMjf59ts7tisTERERERF1EJlWHd6akghRFPBdrgs/nmidGglRNygQ3ZPCkiQJKyROcFI44pSpTAontdGkcPdYLeIMymfltpLq58k6wdSjyI8nXPAFWr8fvDXsFdTNdI/VIt4Q3bGWaLE5IDwVEt/mOvG5oHbkeJUfa4M80BAOR2w+/HdfVchf/7/Tk/DlWclINCqfIz4ZeGWn/dS/3X4ZL9f6d23nsE9YIbqfPURERERERNQkp3cx4foB4mnCh9ZXtEqoJFpkTgLQP7FtOl3DRRQKc1I48pSodDEkt9GksCRJGCqYkt9WUr3YXLChcLlHVq1ZiGayLGOvoAu3X0L0HkSqMTbdAFGu3dzF5mzeAO5eW6F6/aeHHM26/ab4y1absA86GHOyTJiTZcaUziZ8MysVWsERzXf3O1DkrH5OLzjoEFYTjUk11JkmpmpB/0TGjh3brDuSJAm//PJLs26DiIiIiIiImu/+YXFYmONU1EjsKffhnf1VuLqftUXvX3QqeI9YLaz66J5b6mwRhMIOP2RZjtoF9NqjUrX6iDaaFAaqe4VX5dcNdEvcAazK96BIsL/9E3TYU66cnl16wo2x6eLp02iV5wig0qs8WNU/IfpDPotOgzFpBqyu97tfV+iG0yfDrAvtdeOJTZUNnqXwxREn/jI2AYZ6KWuZO4Aipx+ZVl3I913b3nIvPspRBtBaCbi2r6nBRU4lAA8Mjzv1734JelyYbcbCnLrTz06/jH/utmP+sDi8uN0mvK07hrTse1q0CvoZtH//fkiSBFkO7agx3wCJiIiIiIgiQ4JRgweHx+KeX5STZE9vtuHCHhYktFBA5g/I2CMIhQdGcZ9wDdGksNtfvbBZMhc4ihglKvURiW0aCosf/2/uFp8Kf8eQWNy5thyOeh3Wy4678PCIOOHXRCvRlDAA9IviupnapnQyKkJhtx9YX+jGlM5Nqzw4XOnDv/dW4a09Ddc1lLll/JjnwszM6p7dgCzjL1tt+McOO5x+GV1jtPj3lMRmH2B4ZnMlRCef/KG3BQ8PNWHxEQeOu8TPu4uyzRhQ73d85+BYRSgMAP/aU4UEowa5dmUQPjhJj7MzWR0h0uTDKv369cPvfvc7pKWltcT+EBERERERUSv4U98YvLnbjv31FvcpdQfw+m57nQmtcMqp9MElGGCL5j7hGl0Ek8IAcKLKz1A4gtSfkAeAOIMEvabthtnUQuHFx8STlJM7GTGpkxHf5da9fmuJF4VOP9LM7efxtltlkbl+7WBSGACmdDbi6S3KCdcVJ4MPhQ9V+vDAunJ8dzz42olPDjkxM9OMSk8A160sw7e1HkvHq/y4flUZNsxND/l5saXYg0VHlY9foxa4d1gcdBovrs704vEDyuBZKwHzh8UqLu+fqMc53Uz4ut7zotIr488bKoX7cd+wWA6qqgj6GTR+/Hj88ssv2Lt3L55++mlMnz4dl19+Oc4++2zodO3jiUhERERERNRR6DQSnhhhwSU/KcOIr444WywU3qUS8Axqp5PCQHWFxJDkVt4ZUiWqj0huwylhAOgVr4NVJ8Hua/zs7G5WLTpZtDijizIUBoAfTrhxaS9LS+xmg4pdfjy5qRJbS7zoEavDrG4mnJVpavZicHsFNRkaCegTH/2vGQAwIsWAWL0EW72KjBV5bmBk419f7g5gzjfFTV7UcskxF3aWenHNilLhz/iIzY8VeW7M6BralO1zW8Qh7TX9rOgSo4XL5cXMND/eOanBEXvd5+SlvSzopfL7vWtIrCIUVjMgUccF5hoQ9DNzyZIl2Lx5M+6++26kp6fju+++wxVXXIF+/frhwQcfxK5du1pyP4mIiIiIiCjMpnYyYGyCMkjYXe7DiRZaIG1XqTJ8ANp5KFwV4ipL1CJE9RFt2ScMABpJwmCVaeH6xqUZAEA1rFt2PLjALJyqvAHM/qYY7+x3YFuJF18cceK6lWXoveAkLllWoloBEYy9ggNJ3a3asHTeRgKdRsKEDOW07JYSL8pVqk5qe3Jzw/3Bahw+GRO/LBQGwjU+P6KsaghGhSeApSeUU8tWnYQ7a/X76iTgtQlWxNT6XfZL0OGJUeoHJUemGjC1c3C1FvOHxUHDKWFVTXrV6969Ox5++GHs2LEDn332GebOnYuqqiq8/vrrmDRpEqZNm4a33noL5eXlLbS7REREREREFE5npIgDgR9OtEywtEMQ8MTqJXSzRv/p7l0s4o/YJ6rUQxdqfcJJYVPbL3J4ZpATmWN+DYW7x+rQJ1555vYPJ1zIDyEkbI4H11cIw0VPAPg214XJXxbiYEXTg2FZlrFPcLvtpU+4xpROypAzIANr8huug9hc5MHbexvuD74o24zlc1JD2q/FR53w+Ju+ttjeMq+wS/iGAVak1KvSGZGsx5rz0/DsmHj8c1Iivp2ViqRG6nbuHqKslqivf4IOc7I4JdyQkF71JEk6FQDv3bsXL774IoYPH46tW7fivvvuQ79+/XDVVVdhzZo14d5fIiIiIiIiCqNxieJJtB8FU16hOmrzYWGOAxuLPNhZogyGBiTq28U0V6JRA1GW0VJT1xQaUadwWy4yV+PqfjFIDSKcrr3414yuyjCx3CNj9GcFeG2XHT5RMtcMLp+Mu9aWY9DCfMxaUoT3D1ThyyNOvLPf0eDXeQLA67sbDi9Fcqv8wkqN/u2kT7iGKBQGqnuF1fgDMu76uRyi37BBA1ycbcZ3s1Lw1pQkDEvWo6/gAEJjKjwyluc1/b1gj8r08eldxN9n91gdbhxoxSW9glvkdFInI24aGNPgNg+N4JRwY5r9LIqPj8dVV12Fq666Cvv27cP777+PDz/8EF988QXKyspw2mmnhWM/iYiIiIiIqAWkG2X0i9dib0Xd4HJ5ngu+gAxdMxffWnzUiWtWlAoXl6vRHhaZA6oHqDpbtDhkq/vN5jlYHxEpPH5Z0d0KRMakcJxBg4dHxOH2teXq2+glDKgViJ7RxYTXdinDVptXxoPrK/D5YQcWnpESltBblmVcs6L01OJ3x6v8WFvgCfrrNxQGv22NvWXicLFfQvt4zagxIFGHVJMGRfWm2Fc2EAr/Z18VtgoOspm0wOrz0up08kqShAuzzXhGsKBdYz477MBZmU2buN2j0h3fP4yv9c+MScDcHhZ8m+vCjhIPtpV4ke8MwKqTMH9YLGZnmcN2X+1VWF/1CgsLUVhYiKqqKshyeI9GERERERERUcuY1kn5Qb3CI2NTUdNDnNr8ARn3r6toMBAG2kefcA1Rr3AeJ4UjhmhKGACSjZFRX/L73hYMTFSf3xuVaoC21oGaCRlGdFKpLQGADUVevLit6UGgyLe5rlOBcCj2lnubPLms1kXc3uojJEnCZMG08N5yn7AKpNDpxxObxQu53TM0TrhI27xsC9QO8UkALu9tQYJBucU3x1xwBbEAYm2iSeEMsybsE/mjUg14eEQcPjojBXsv6YQTv++Ew5d3wq2DG6+XoDCEwseOHcNzzz2HYcOG4bzzzsNHH30EvV6PK6+8Eo8//ng49pGIiIiIiIha0OmdDMLLlzWzQiKn0ofjQQSiDYVg0aaLKBR2+Dk4FSHUQuG2XmiuhlYj4ZkxCarXj02v+1w1aiX8c1IS4vTqE/2fHXY0+/Hn9st4aH1F0NsPEDynPQHgYGXT+rVF4aJGAnrHtZ/XjBpTVBZPE00Lv7rTjkqP8nfaK06HWwdZFZcDQI84HW4fXPc6k7a6tmTj3HS8OjERl/ayKL6u0is3uWNeNCkczilhNTF6DfTNPLulIwnpWeRyufDll1/i/fffx5o1axAIBKDRaDB16lRcfvnlmD17NozG4FYCJCIiIiIiorY1JlUHi06Co9402A8nXHhohPoq8I0JNgAa0I4mhUWhsMMno8IjI8HIsKKtlQgWmQOApAioj6gxpbMRs7qZsEQwlTsuTXkAZ0pnI9bPTccjGyuwMMepuD7PEcDuMh8GNuN59s/ddkUtiprzu5txcU8zLvuhVHHdzlJvk6ofRJPC2bE6mHTt77kkmhQGqnuFL+5ZN6z9Nlcc0r4wPh5GrfrP5s8j4jAmzYCVJ93oGafDBT3MdRZ+m9vDIux+/uKIE+cEWcdQ7PIrajAAoH87OvjXXjTpN7Ju3Tq8//77+OKLL2C32yHLMrKzs3HZZZfhkksuQZcuXVpqP4mIiIiIiKiFGLUSJnUy4rt6QcOWYi+KXX7FavHBygkiFO4eq0WsPnICuebqbBH/rE5U+YNaQIlaVqRPCtd4clQ8fjzhqlO90jVGi/Hp4uAww6LFm5OTMDGjCretKVdcv+yEK+RQON/hx1+3BldB0cWixd8mJMDmFf+cd5V6cVF2cPcbkGXsE0wKt9dwsXusDllWLY7a64bvK/LckGUZ0q+LphU5/dhXofy5zMw0YWrnhrt/tRoJs7qZMaubOOAdlapH1xit4gyPb4654PTJMAcRxu/pID3Q7UHQr3qjRo3C2Wefjffeew+yLOOyyy7DkiVLsGnTJtx9990MhImIiIiIiKLYDMGq8DKA5c2okDgURCg8L1t5unI0E3UKA9UVEtT2SlUmhSNhobnaesbr8O60ZGSYq/cr06rF21MTYWhgChSontIV5XZLj4feBfzEpkrYVTplE2tNvycZNXjn9CQkGjXIjNEKKy12qSxAJnLM7lecvQC073BRVCFxvMqPw7WmtH9WWdzv7CYuBiciSRIu6KEMjO0+OejHkNoicwPaWQ90exD04ZWcnBxIkoS+fftizpw5iImJwfr167F+/fqg7+z2228PaSeJiIiIiIioZc3oYgKg7AxddsKFeT1DC25zKsVBqElb3S86t4cZdwwW919Gq4YmhantlUTJpDAAnJlpwq6LM1DiDiDVpDk1KdqQOIMG49INWJ1fNzj8pcCDSk8AcYamfZ+bijz44KBDeN13s1IwIEmPn/LcsHkCOL2LCRm/Pv4lScLAJL0iwNxVGnynsNoic/0T2uekMFBdIfHufuXPe0WeG9m/9iivLRAfqJuQIe6Gb6oLupvx8k674vIvjjhxbvfGKyT2qPze+rbj31u0avJvZN++fdi3b19Id8ZQmIiIiIiIKDL1iNMhO1ar6A398YQbAVmGJohAqr4cwSnOUzoZsWBGEiRIQZ2KHG1EncIAcNTWtAW2qGWUusXhfCSGwkD16f5p5qbVt5zR1aQIhX1ydTftnCB7YYHq+ob568qF112cbcbYX6ss1G5zYKIyFD7h8KPMHUBiED/vvWo1BO144rShXuEr+8UAANbmKyeFU00a9ArT4nvDU/TCGotvc12o8gYQ00jdz15B5Uc3a/uqCWovgn7ETJgwIaijUkRERERERBSdpnc14dCeuosMFbkC2FDoORUABcvhC+CEoDKhV7wOFl37DQdSTBrE6SVUeuue9n5AEJBT6xMtNBerlxqtZYgmM7qY8OjGSsXly467mhQKL8xxYmORcurTopPw6Kj4Rr9+oEp4u6vMi4kZjb+eiCZOdRLCFn5GojSzFgMSdNhdL1hdebL64JzNK2NHqfLnMiHDELbMrqZC4v921J0WdvhkLD3uxvmCeokasixjt6A+oj1Pd0ezoH8rX3/9dUvuBxEREREREbWxM7ua8K89ypXnFx11NTkUPqxSHZHdjgMdoDpQ6Rmvw5biusFIMIvuUcsrE9RHROqUcKgGJOrQ2aJBnqPu97rseN0Fyxpi8wbw2EZlnQwA3DUkVnUivrZBKgvb7SptPBT2BmRsKFROxPaM07WrAF9kcmejIhQudQews9SLAmcAonZntQUIQ3V+d2UoDACfHXY0GAqfdARQ4VHuYf92PN0dzdrXKx8RERERERGFbHIno3BxqEVHnZBl8UJTag6qhKA945p2Knw06i0Ivg/ZfPAHmvYzpPATTQpH2iJzzSVJEmZ0VS46dsLhxx7Bqf0iL22zId+p/Fl1s2pxy8DgesD7J4oPAAWz2NwL22yKKhsA6Kdym+3JlAYqJNbmq/QJp4enT7jG0GQ9esQqX6u/P+6C3Svu5QbU+4QZCkem9vXKR0RERERERCEzaiXMFKxgn2v3Y2uJF7IsI6/Kj73l3kZD4kMqoXB7PvW7Rs945ffo9gO5XGyuzZV2gElhoGbhSKVlx12Nfu3BCi9e3aWcEgWAp0bHwxRkF7hVrxEGi7sE9Qe1bSn24IVtNuF1at9Xe3JahhGiYeiVeW6sLVBOT8cZJNWqjlBJkoS5golgl7+6W1jNHpXAn/URkan9vfIRERERERFRyOaorC6/MMeB61eVYcDCfIz7vBBTFhWh2KUecorqErQSkBXb/sMB0aQwABxkr3CbKxGFwu1sUhgApnY2QpTdLm0kFD5Y4cV535bAIxgGndzJiDlZTQtlRWHlnnL1qXmnT8YNK8vgF1zdN16HedmWJt1/NIozaDAiRflz+yHPjXWCSo3xaQZoNeGv1Di/h/hn/flhp+rXiCbRNRLQJ56TwpGo/b3yERERERERUchmdDEhRpAmvb67CgtzfgsDtpd6ce2KMtWJYVEo3M2qhb4FwotI00swKQxwsbm25g3IqBT0nbbHSeE4gwZjBZUCPxd4UKpyMGd3mRezvikWLhCpkYBnx8Q3eTGzgYJeYYdPxhFBNQQAPLW5EvsEzxOtBPxzcmLQU8rRbkonZfiu1j4zIYhF+0IxKFGH3oLXsmUnXKgUHTWAeFI4O1bXYX5v0ab9vfIRERERERFRyMw6CWcI+khFlue5sfS4uONSFAp3hOoIoHoxLBEuNte2RIvMAUByOwyFAeAMQdWCTwbe3e9QXL612INzvilCoaBHGACu7hsjDHgbo1ZrsFMQHh61+fDP3eLainuGxmJ4Snh7cyPZ5M7BB70TwrzIXA1JknC+4MwRtx/4RlAhEZBl7BVMCqt1S1Pba5+vfERERERERBSyc5twivifN1TAV2+ErdITEIZL2R0kFI7Ra9DFouxS5aRw2xItMge0z/oIAJiTJa6CeWtvVZ3nbF6VHxcvK0GZWzyKOixZj0dHxYW0D4NVgmTRYnNfHHEKayOGJetxz9DYkO4/Wo1JNcAUxJqcZq2EocktV81wgaBXGAA+O6Q8sHDM7ofDp/wFcpG5yNU+X/mIiIiIiIgoZGdkmoIKJABgX4UP7+yvqnOZ2iJzahO07ZFosblwTgoXOf3YWuyBzSsOOklJtMgcACQbg3ywR5me8TpM76KcIj1e5cfXx6onPd1+GVcsL1GdEB6bZsCXM1Ng1YcWH2XFaoV1NKLF5r46quyq1UrA65MSO0TtTG0mnYRxQUwAj04zwCBalS5MBiTq0U+wSNyyE26crFcz8rNgETyAi8xFMobCREREREREVEesXoPTBaeeq3lmsw0VtTom1cJPUVDaXom6OI9X+VEVhhD37b1VGPRxPqZ+VYThnxTgE8HUXrjIsoyNRR68vsuO1flu1Q7paKA2KZzYTusjAOC6/lbh5W/8WtNw/7pybChSBrRA9cJyn52ZjHhD6D8fjSRhgKA+oP6kcF6VHxsF+zExw9hhJ02DqfGZIOiNDjfRtLBfBt4/8NvrzuFKH+5fVy78+o76+4sG7feVj4iIiIiIiEJ2rsqp5yIl7gBe2mY79W/VULgDTQqr9ScfUllgK1ifH3bgrp/L4f71ZopdAVyzogxv761q+AtD9OJ2O2YsLsID6ysw+5tiPLyhskXupzWodgq30/oIADijqxE9YpWT0GsLPLh2RSn+s098QOH0zkZ8NCMZMSFOCNcm6hU+YvPjcK3XiSXHlFPCADC7CVU27c1VfWPQXfC7qyEBOE/Q+Rtul/WyQDSo/c7+KgRkGVXeAC7/sQQVgkUcu1i0HaZLPhq131c+IiIiIiIiCtnMTBNEA4KirlwA+OceO4pd1UmlKBQ2aIDMmPZ5mr5IL5Wp6B0lHryzrwq3rSnDu/ur4A8EP3m7v9yLW1eXC6+76+dyvLZLvEhXMAocfnyb68SWYs+paeBNRR48tbluCPzqLjty7dHZjVzSAUNhjSSpTgt/fEgcxPaM0+LtqUkwC2ofQqG2QFztSdOvjioXLgOAc7q1fOgZqcw6CT/NScODw2MxPt2AOP1vvw+dBDw6Mq5VpnAzrTqcIaghybX7sTzPjTvWlmN3mfg14Z6hsdB1sOqPaMK4noiIiIiIiBQSjBrcNSQWz239bQI4xaTBV2en4L5fyrHshLvO9m4/8F2uC5f3jhGGwt1jddB2oHBAVB8BADfVCnXf3e/A2nw3Xp+UCEmq+7MpcfnxyMZKrMhzI92swYyuJiw64oRdsJBTjQfXV8Dtl3HnkOAW5bJ7A1h81IWPchxYcdKNmnz6/O5mvDk5EdevLBN+3fpCDzKt0RcnlKotNNeO6yMA4LLeFjy9ubLBx06NGJ2E905PRkIYfyazs0y45xegfnPKBwer8MDwWFR6ZazOdyu+blSqHp070IEkkQSjBvcNi8N9w6qrXI7a/ShyBtAlRtuqP5sr+sbgu+PK39GF35eofs3F2Wb8qa+lJXeLmin6XsWJiIiIiIioVdwzNBZdYrRYfMyFzhYN7h0ah84xWjw+Kh7LThQqtv/xhFs1FO5I1RFA9VS0QQN4GqkQ/jDHiXO7mzGr1kSkLMu46qcyrDhZHcIcr/JjU7G497W+xzdVYkSKAVM6N7xI1Yf/396dh0dV3u8fv2fJvk3IRiIQ1siOgKgsgoAIikXZRAVcaxVRsahfW4tClYooFtQqKoqKUFBUSoBqLQFUJEVAARVZhBBAIEQgIQnZZ35/8EvMMGeSSQhkknm/rqtX4cwz5zwz+Jkk93nyeX4+rf/bmKVTBr/y/a/9+TpyulQ/u2kDkukmXPV2RiuFQ60mBZzHjbq8QYS/Wbe0Cda8n6puMfJqn8haX30aFWjRdc0CtXy/82rgw6ftSvmlUMcL7So1yKuv9+FVwkZMJpOah1nV3LN7PrXqmiaBig8268hpz2q/Q6RVc3rbXG52wbs07NthAAAAAIAas5pNGp8Uog+ujtLsXpHlK9M6NPJTksFK2DWHC/RrQalOFromPL4WClvMJrX08DVP23xKJRXaSKw7XFgeCNfEc1sr7/u7JbNI968/aRgIl9l4rMjtY5n559YXua6cMAiFIxtw64iK/tAupMoxj3YO040Gm4rVhvFtjK///p48rUinn7C3s5pNGuvm3/BsEf5nVpsHW32jtuoz/oUAAAAAANU20KDH5MlChz5y26fUt0Jhyf1mc2fbnV2i93f/1l/15R886w2cEGz8I31qRpH+l2EcKhfbHXro65OqRitjF/V1pfCJAtcwO6qBt44o0ybCT6NaGge+rcOteqtfpKZ0Dz9v1++fEGDYj3xFeoH+fcC1n3Bbm1WtI85/v1x4bnybYFW17tdskub1baQWPvh5Xx/5xqcfAAAAAKBWDbzIeBXfGzuMA81WbnrsNmTuNpszMmPrKeUU27X9eJHWHq56lXCEv0n/vi5GT3Q1/l3y2d8b/zu89mOufnSzKZSnjuXX01DYYKVwQ+8nXNHsXjaNbhmkQMuZDSPvujhE/x0ao00jYjWq5fnt/Woxm3RLG8+vcX0irSO8TWKY1fBmYBk/s/RW30hd05QV3vWF731VBgAAAACcs96NAxRokc5efJmWY9xawCdXClcjFD6Wb9c/fshVmps+vhX5m8+sxmseZtX9HUI1d0euS8uO/xws0I8nitWh0W+rLffnlOi573LOPt2ZuYZb3fYQPlt9bR9x3GCFc5SPtI+QpDA/s+b1aySHw1EnvV7HtQnWrG3G//2d7fpmBIve6PaLQ1w2GZWkYKtJ7w9o5PZmIbyT73z6AQAAAABqTZDVpF5xlW9mVqZJiMVtq4OGzNP2EWVmbs3Rh27ab7zc26Y/tAvRPe1C9J+hMeWr8UL9zPpDu1DD58z5/rcAzuFwaPKGLOUb7OjVzmbVhhtjNaWbZ+0D6mP7iBK7Q1kGPZQjfWilcJm62vyreZhVfeOr/sxoGmpRlyhaR3ijIU0DdclZ/zYR/iYtuyaKQLge8r1PPwAAAABArRjYxLMQ4PdtQ3xyF/o2tdQyY0L7EN2WFKLnr7DphSts6hrt7/T4ve1CFGx1fX8/TsvX/pwzq3+XpeVrjUFbCpOkl3rb5G8x6ZHOoRrpwUZjmfl2ORzn0JS4DmQVGQfZvrRS2BuM86CFxIT2oT75eVEf+JlNWjigkUa1DFLrcKuubxaoNdfH6nIPbxDCu/DpBwAAAACokasr6S9ZJsLfpLvaerZrfUMTFei6sVaZTo08WwlpMUkTOhivBC7TKNCi25Ncwza7Q3rlh1w5HA7N2m78a/t3tQ3RZbFn/h1NJpNe6WPTjc0rD4bzSx3KLalfobBR6wjJt3oKe4PfJQYpxk0QH2I16S9dw3RvO9/8vKgvmoRa9Va/Rto8Mk4LB0b5ZL/4hoJPPwAAAABAjSRFWNUkxH3wKUn3tg9VuL/v/ujZI8Y4/J15eYRHqyZHtAhSs9CqQ5eJHULlZ/A2L9yTp+T0Au0w2FyucZBZT3V3bhkRbDXrnasitWlErFZfH6Nnehi3lMisZ5vNGW0yJ0lRhMIXVJDVpLlXRiqgwsdG8zCLnr0sQj/e1FiPXRIui5lVwsCFQJwPAAAAAKgRk8mkgRcF6L3dpw0fD7GadJ+Pr/rrFRegTZnFTse6RPmpZ5y/Lo3x1+kShz5JM+4jLEkPdqx8lXCZJqFW3dQqWIv2OP9bFJZK93150vA5U7qHK8IgsDeZTGoTcSbMdrfxXWZ+qVrWo80D3a0Upn3EhXd1k0DtuKmxvjxSqKahVnWN8iMIBuqA13/6HT58WK+99pqGDx+ujh07KiYmRklJSRo/frw2b95crXMVFhZq5syZ6tatm+Li4tS2bVtNmjRJmZmZbp/z4YcfasCAAUpISFBiYqLGjBmjrVu3uh3/7bffavTo0WrWrJkSEhJ09dVXa9myZdWaJwAAAADUFwMq2VzozotD1KiSFgq+4J52IU6rqYMsJr3S2yaTySR/i0nzr2qkpYOiDPsPD28epM5R/i7H3ZnUMVRG0ZrR5nJRAWaNalH1SuWYIOPY4Fg922zO3UphX9xozhtEBVo0vEWwLo3xJxAG6ojX39Z78803NWfOHLVo0UL9+/dXdHS09u7dq1WrVmnVqlV66623NGLEiCrPY7fbdeuttyolJUU9evTQsGHDtHfvXi1YsEBffPGFVq9erejoaKfnzJo1S9OnT1fTpk115513Kjc3V5988okGDx6s5cuX64orrnAa/+WXX2rkyJEKDAzUiBEjFBoaquTkZN155506dOiQHnzwwVp9bwAAAACgrvWLD5DFJJ2dO/qbpYkernJtyJqEWvXFsBh9kpav0yUOjWgRpKZntYMY1CRQ/eIDNG9nnhb/fFoHckt0bdNA/b2nrVrXSrL56frEQK1IL6hy7PikYAUabE53thg3oX59ax9x5HSp4fGYIN++aQHAd3l9KNytWzetXLlSffr0cTq+YcMG3XDDDZo8ebKGDh2qgIDKNzj45z//qZSUFI0aNUrz5s0r38ly/vz5mjx5sqZPn645c+aUj9+7d6+ee+45tW7dWikpKYqIiJAk3X333Ro0aJAmTZqk1NRUmc1n7iqWlJRo0qRJMpvNWrVqlTp37ixJ+r//+z8NHDhQzzzzjG644QY1a9astt4aAAAAAKhztgCzrkoIUMovhU7Hx7UJUXwwgZt0ZlXkPe0qD8j9LSZN7BCqiR1C5XA4yn9mra4/dgqrMhQ2SbrjYs/aesS6WSmcWWAcsnqrI3mu87WYpFjaRwDwUV7/6Tds2DCXQFiSevXqpSuvvFJZWVnasWNHledZsGCBJOmpp55y+uJ65513qnnz5lq6dKny83/r47Ro0SKVlJTokUceKQ+EJalz584aOXKkdu3apdTU1PLjX375pdLS0jRq1KjyQFiSIiIiNHnyZBUVFWnx4sXVe/EAAAAAUA9MuzRCjSr8Gn5ShNVlAzN4rqaBsCR1i/FXv/jKF01d0zRQzcM8WyPWKMAso9/ur3crhQ3mGxdkpnUBAJ/l9aFwZfz8zjS+t1gqv/tcUFCgzZs3q02bNi4rdU0mk/r376+8vDx999135cfXr18vSRowYIDL+QYOHChJ+vrrr2s8HgAAAAAaik6N/LRxeKzmXhmpt/tF6sthsbLRq7XO/LFz5auS72nr+eZ/FrNJUQb/lsfy6/9KYVayA/BlXt8+wp2DBw9q3bp1aty4sTp06FDp2LS0NNntdrVs2dLw8bLje/fuVa9evcr/HBoaqri4OJfxrVq1Kh9TpuzPZY9VFBcXp9DQUO3bt8+DV3YmxAYasqKiIqf/B+AZagdwj/oAaqY2ayfMJA1v8v/Dw5JCFZSc8ylRQ5dHOtSlkUXbTrgGoc1DzeoV5ajWz53RASZlnjX82OmSevWz6+E81/8g4wJNNXoNfM0Bzh11dH4EBrrf/PVs9TIULi4u1r333qvCwkJNmzatypXCp06dkiSnNhAVhYeHO40r+3NMTIzh+LCwMMPxFc9l9JyK4ytz+PBhlZbWr7uuQE1kZGTU9RSAeonaAdyjPoCaoXYanltjLdp2wrWNxA3RBfrl0KFqnStUAZKcf+4+nFukgwcPnssUL5hiu/RrYbDL8dDSPB08mFXj81I3wLmjjmqPxWJxuyDWSL0Lhe12u+6//35t2LBBt99+u26++ea6nlKtS0hIqOspAOdVUVGRMjIyFBcXJ39//7qeDlBvUDuAe9QHUDPUTsM1volD/zpxSqnHflsh2yLUrInd4xTuX73WHk0P5mhTtvNqvqwSi5o2bVorcz3fDuWVSspyOd46JkJNmwZV+3zUDXDuqKO6V69CYbvdrokTJ2rp0qW66aabNHv2bI+eV7Z6Nzs72/Bxo1W+4eHhblf25uTkGI6veC6j59hsNo/mW52l3kB95u/vz3/vQA1QO4B71AdQM9ROw7T46gA9uSlbGzIK1SXKX3/uGqbYcL9qn6dxaIEk51D4VLFDJr8ABVi8f6O2E6cKDY83jQg4p//uqRvg3FFHdafedP4vWyG8ePFijRo1SnPnzpXZ7Nn0mzdvLrPZ7Lanb9nxiv2AW7VqpdzcXMNl7Eb9g436DJfJyMhQbm5utZZwAwAAAABwLmwBZr3SJ1JbRjbW/KsaqU1E9QNhSYoJNG7ZmFlPNps7ctpueDwhuN5EIgBQ6+rFJ2BZILxkyRKNGDFCb7zxRpV9hCsKCgpS9+7dtWfPHh04cMDpMYfDobVr1yokJERdu3YtP967d29J0po1a1zOl5KS4jSmJuMBAAAAAKgPYoKMo4PMAuOw1dsczjMOr+ODPc8VAKCh8fpQuKxlxJIlS3TjjTfqzTffrDQQXrRokWw2myZMmOB0/Pbbb5ckPf3003I4HOXH33nnHe3fv1+jR49WUNBvvYTGjh0rq9WqF1980antxPbt2/Xxxx/r4osvVs+ePcuP9+vXT82bN9dHH32k7du3lx/Pzs7W3//+d/n7+zfI/scAAAAAgIYt1u1K4foRCh897SYUDiEUBuC7vL6n8MyZM7V48WKFhoaqdevWeuGFF1zGDB06VJ07d5Z0JkSWJKvV+aXdeuutWrZsmT766COlp6erd+/e2rdvn1asWKHExERNmTLFaXzr1q31pz/9SdOnT1efPn00bNgw5ebm6pNPPpEkvfTSS07tK6xWq15++WWNHDlSQ4cO1YgRIxQaGqrk5GQdPHhQzzzzjBITE2v1vQEAAAAA4HyLdbNS+FhBfWkf4TrPUKtJYX5ev04OAM4brw+Fy9o95ObmatasWYZjmjVrVh4K//TTT5KkkSNHOo0xm8365z//qdmzZ+uDDz7Qa6+9psjISI0fP15TpkxRdHS0y3kfffRRNWvWTHPnztX8+fPl5+ennj176oknntAll1ziMr5v37767LPPNGPGDC1btkzFxcVq3769/vrXv2rEiBHn8jYAAAAAAFAnogPdtI+oJyuFDxuEwqwSBuDrTFlZWY6qh9UfV111lSwWS3kfXwDep6CgQAcPHlTTpk3ZZRSoBmoHcI/6AGqG2oEnCksdiltw2OX4/R1C9Oxltgs/oWrq/vFR7T3lHAz3jQ9Q8hDXxWGeoG6Ac0cd1T2vXylcHTk5Ofr+++/13nvv1fVUAAAAAABoEAIsJkX4m5Rd5LymrD6sFHY4HDp62nWe8cG0jgDg2xpUKBwWFqbjx4/X9TQAAAAAAGhQYgItyi4qcTp2rB6EwqeKHcorcf0F6fhg2kcA8G3cGgMAAAAAAJWKMdhsLjPf+zeaM9pkTiIUBgBCYQAAAAAAUKlYo1C4wPtXCh/JIxQGACOEwgAAAAAAoFIxga4h6vFCu0rt3r13vbuVwgkhhMIAfBuhMAAAAAAAqJRR+wi740ww7M2OGGwyJ7FSGAAIhQEAAAAAQKViDVYKS1Kml282Z7RS2CTjdhgA4Ev4FAQAAAAAAJUyWiksSZkF3r3Z3GGDUDg2yCw/s6kOZgMA3oNQGAAAAAAAVCom0Dg+OFYPVwrTOgIACIUBAAAAAEAVYoPctI8o8O5Q+CihMAAYIhQGAAAAAACVcts+It9720eU2B3KMFjJnBBCKAwAhMIAAAAAAKBSIVaTgiyufXi9uX3EsXy77A7X443ZZA4ACIUBAAAAAEDlTCaT4WrhX714ozmjfsKSFM9KYQAgFAYAAAAAAFWLNQiFvXmlsLtQOIGewgAga11PAAAAAAAAeL/oQIukYqdjmV4YCn+bWaRNmUX6eF++4eNsNAcAhMIAAAAAAMADRiuFMwtK5XA4ZDK59huuC6/+mKu/fJNd6RhCYQCgfQQAAAAAAPBAbKBrmFpkl7KLDHZzqwMnCkr17LenKh0TZDEpwt87AmwAqEuEwgAAAAAAoEpGG81JZ1YLe4OvjhYpr6TygDo+2Ow1q5oBoC4RCgMAAAAAgCrFBLoJhb2kr/BXRwqrHNMynC6aACARCgMAAAAAAA/EBBn34s0s8I5QeP3RqkPhW1sHX4CZAID34xYZAAAAAACoktFGc5J0LL/u20ccyy/VzqwSw8eahFhkNUsPdQzT8BZBF3hmAOCdCIUBAAAAAECV3LWPOOYF7SO+drNK+KVeNt1+ccgFng0AeD/aRwAAAAAAgCrZAsyyGuzR9qsXbDT31ZEiw+NXxgdc4JkAQP1AKAwAAAAAAKpkNpkUY9BCwhtWChv1E04INqtFmHEfZADwdYTCAAAAAADAI9GBriFr5nkMhfdkFyvtVIkcDofbMUdPl2p3tms/4T7xATKZDJY2AwDoKQwAAAAAADxjtNlc5nloH1FU6tCtKce1+pczK4B7xvnrw0FRCvNzvb67fsJ9GtM6AgDcYaUwAAAAAADwiNFmc+djpfCc73PKA2FJSs0o0oPrswzHfnXEOBTuSz9hAHCLUBgAAAAAAHgkJsi1fURuiUOnS2ovGHY4HFqw+7TL8X/tz9c3x1wD4PVHXTeZaxJiUWIo/YQBwB1CYQAAAAAA4JFYg5XCUu2uFt56vFiH8oxbUjy56ZRTf+Ejp0v18ymDfsKN/eknDACVIBQGAAAAAAAeMVopLEmZBbUXCq9Iz3f72MZjRVqRXiBJ+jm7WOPXHDcc14fWEQBQKTaaAwAAAAAAHjHaaE6SjuXX3mZzZaGvO1M3Zys1o1Dv7jqt/FKH4Zgr2WQOACpFKAwAAAAAADwS7aZ9xK+1tFJ4V1ax9mS7toOoKC2nVHN35Ll9PCnCqsQw4g4AqAztIwAAAAAAgEdi3bSPOFZLPYWrWiVcFatJmt4jolbmAgANGbfOAAAAAACAR9ytFK6t9hGV9ROuSqtwi97o20iXxvjXylwAoCFjpTAAAAAAAPCI1WxSowDXKKE22kek55Ro2/Fil+MXBRuvTq7onnYh+uqGWAJhAPAQK4UBAAAAAIDHYoPMOlHoHALXxkrhlQeMW0c83jVMu7JK9OqPuU7Hbf4mXR4XoAc6hOrKeDaWA4DqIBQGAAAAAAAeiwk0a+dZxzJroafwSoPWEWaTdG3TQN2WZNHIFkHamVWsuGCL2tn8FB9slslkOufrAoAvIhQGAAAAAAAeizHYbO5YgfuVwt/9WqTXfszVt78W6fLYAD3ZPVzxZ7WE+DazSKkZRS7PvSLWv/x63WL81
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