diff --git a/README.md b/README.md
index d248363..ec1fd74 100644
--- a/README.md
+++ b/README.md
@@ -1,9 +1,74 @@
-# dano2025
+# FinalTry.exe — исследование коммуникаций (2025/2026)
-dano 2025/2026 solve by FinalTry.exe team
+## 1. Описание проекта
+- Исследовательский репозиторий команды FinalTry.exe.
+- Задача: изучить связь между коммуникациями пользователей и их заказами, проверить гипотезы о форме зависимости (тренды, квадратика), посмотреть по категориям.
+- Результат: собранная SQLite-база, набор статичных и интерактивных графиков, сравнения по категориям/total.
-## Dataset migrations
-- Запуск всех миграций: `python migrate.py`
-- Посмотреть список и статус: `python migrate.py --list`
-- Принудительно переисполнить уже примененные миграции: `python migrate.py --force`
-- По умолчанию миграции работают с `dataset/ds.csv` и создают SQLite базу `dataset/ds.sqlite` (таблица `communications`).
+## 2. Структура репозитория
+- `dataset/` — исходный CSV (`ds.csv`) и собранный SQLite (`ds.sqlite`, таблица `communications`).
+- `migrations/` + `migrate.py` — пошаговая сборка данных: CSV → SQLite, правка значений заказов.
+- `preanalysis/` — утилиты EDA (нормализация, агрегаты по дням и клиентам).
+- `main_hypot/` — основной пайплайн: подготовка клиентских фичей, облака, тренды, квадратичные регрессии, интерактивные графики.
+- `new_divided_scatters.py` — интерактивные облака для активных/пассивных/общих показов.
+- `old_data/` — архивный подвал с ранними скриптами/данными; не входит в основной пайплайн, оставлен для истории и воспроизводимости.
+
+## 3. Подготовка данных
+```bash
+# 1) положите исходник
+dataset/ds.csv
+
+# 2) соберите SQLite
+python migrate.py
+# или вручную:
+python migrations/0001_csv_to_sqlite.py
+python migrations/0002_cap_orders_to_one.py
+```
+Итог: `dataset/ds.sqlite` с таблицей `communications`.
+
+## 4. Установка зависимостей
+Обязательные пакеты:
+- pandas
+- numpy
+- scipy
+- statsmodels
+- scikit-learn
+- matplotlib
+- seaborn
+- altair
+- vl-convert-python *(для сохранения Altair в HTML; альтернатива — `altair_saver` + установленный node)*
+
+## 5. Запуск и работа
+- Миграции:
+ ```bash
+ python migrate.py # прогнать все шаги
+ python migrate.py --list # посмотреть статус
+ ```
+- Базовые облака и тренды (PNG):
+ ```bash
+ python main_hypot/best_model_and_plots.py
+ ```
+ Результаты: `main_hypot/orders_amt_total/`.
+- Общая квадратичная регрессия (PNG):
+ ```bash
+ python main_hypot/quadreg.py
+ ```
+ Результаты: `main_hypot/orders_amt_total/`.
+- Категорийные корреляции и квадратика (PNG):
+ ```bash
+ python main_hypot/category_quadreg.py
+ ```
+ Результаты: `main_hypot/category_analysis/`.
+- Интерактивные графики Altair (HTML):
+ ```bash
+ python main_hypot/new_plots.py
+ python new_divided_scatters.py
+ ```
+ Результаты: `main_hypot/new_plots/` и `new_plots/final_result/`.
+
+## 6. Примечания
+- Все скрипты опираются на структуру `dataset/ds.sqlite`; без миграций данные не загрузятся.
+- Если в `ds.csv` нет ожидаемых колонок или файл пустой, миграции упадут.
+- Altair требует `vl-convert-python` (или node + altair_saver) для `Chart.save`.
+- Савицкий–Голай окна по умолчанию большие (≈501); на малых выборках стоит снижать окно, иначе будет ошибка.
+- Проект исследовательский: код может быть не оптимизирован под продакшн, а `old_data/` — лишь исторический архив.
diff --git a/dataset/fullinfo.md b/dataset/fullinfo.md
deleted file mode 100644
index 62cb203..0000000
--- a/dataset/fullinfo.md
+++ /dev/null
@@ -1,53 +0,0 @@
-Коммуникации в Городе
-Город в Т-Банке — это группа сервисов, которые помогают пользователям решать
-ежедневные задачи: купить билеты в кино, заказать продукты, путешествовать.
-В банке есть множество видов коммуникаций с клиентами. Первое разделение —
-на внутренние и внешние. Внешние демонстрируются за пределами банка: например,
-реклама в интернете, на телевидении и т. п. Внутренние — в приложении банка:
-например, пуши, баннеры и т. д. Причем внутренние делятся еще на активные
-и пассивные каналы. К активным каналам относятся пуши, СМС, имейлы, чаты;
-к пассивным — баннеры, сторис и фулскрины.
-В текущем датасете вам дано число коммуникаций в разбивке на активные и пассивные
-и то, как клиенты реагировали на них: открыли, совершили покупку или просто получили.
-Учтите, что клиент мог сделать заказ не только день в день коммуникации, но и позже.
-Это в большей степени касается тяжелых сервисов, например путешествий.
-Описание переменных
-id уникальный идентификатор клиента
-business_dt Дата
-active_imp_ent Показы активных коммуникаций (Развлечения)
-active_click_ent Касания активных коммуникаций (Развлечения)
-active_imp_super Показы активных коммуникаций (Супермаркеты)
-active_click_super Касания активных коммуникаций (Супермаркеты)
-active_imp_transport Показы активных коммуникаций (Транспорт)
-active_click_transport Касания активных коммуникаций (Транспорт)
-active_imp_shopping Показы активных коммуникаций (Шопинг)
-active_click_shopping Касания активных коммуникаций (Шопинг)
-active_imp_hotel Показы активных коммуникаций (Отели)
-active_click_hotel Касания активных коммуникаций (Отели)
-active_imp_avia Показы активных коммуникаций (Авиабилеты)
-active_click_avia Касания активных коммуникаций (Авиабилеты)
-passive_imp_ent Показы пассивных коммуникаций (Развлечения)
-passive_click_ent Касания пассивных коммуникаций (Развлечения)
-passive_imp_super Показы пассивных коммуникаций (Супермаркеты)
-passive_click_super Касания пассивных коммуникаций (Супермаркеты)
-passive_imp_transport Показы пассивных коммуникаций (Транспорт)
-passive_click_transport
-Касания пассивных коммуникаций (Транспорт)
-passive_imp_shopping Показы пассивных коммуникаций (Шопинг)
-passive_click_
-shopping
-Касания пассивных коммуникаций (Шопинг)
-passive_imp_hotel Показы пассивных коммуникаций (Отели)
-passive_click_hotel Касания пассивных коммуникаций (Отели)
-passive_imp_avia Показы пассивных коммуникаций (Авиабилеты)
-passive_click_avia Касания пассивных коммуникаций (Авиабилеты)
-orders_amt_ent Число заказов (Развлечения)
-orders_amt_super Число заказов (Супермаркеты)
-orders_amt_transport Число заказов (Транспорт)
-orders_amt_shopping Число заказов (Шопинг)
-orders_amt_hotel Число заказов (Отели)
-orders_amt_avia Число заказов (Авиабилеты)
-gender_cd Пол (M/F)
-age Возраст в годах
-device_platform_cd Обратная связь клиента
-
diff --git a/dataset/shortinfo.md b/dataset/shortinfo.md
deleted file mode 100644
index 24efc8c..0000000
--- a/dataset/shortinfo.md
+++ /dev/null
@@ -1,4 +0,0 @@
-Т-Банк: коммуникации в городе
-
-Датасет содержит данные о коммуникациях с клиентами внутри экосистемы Город Т-Банка, включая активные и пассивные каналы и реакцию пользователей на них. Для каждого клиента по дням указано количество показов, кликов и совершенных заказов по разным категориям сервисов: развлечения, транспорт, шопинг, отели, супермаркеты и авиабилеты. Клиент мог совершить покупку как в день коммуникации, так и позже, что особенно важно для сложных сервисов вроде путешествий. Дополнительно доступны демографические признаки клиентов и информация об устройстве.
-
diff --git a/main_hypot/best_model_and_plots.py b/main_hypot/best_model_and_plots.py
index 5d5d438..1a63d4b 100644
--- a/main_hypot/best_model_and_plots.py
+++ b/main_hypot/best_model_and_plots.py
@@ -1,3 +1,5 @@
+"""Базовый набор расчётов и графиков: загрузка клиентов, фильтрация выбросов и построение трендов/квадратики."""
+
import sqlite3
from pathlib import Path
import sys
diff --git a/main_hypot/category_quadreg.py b/main_hypot/category_quadreg.py
index 490d422..bc9ffcf 100644
--- a/main_hypot/category_quadreg.py
+++ b/main_hypot/category_quadreg.py
@@ -1,3 +1,5 @@
+"""Категорийный анализ: собирает агрегаты по категориям и строит корреляции/квадратичную регрессию по заказам."""
+
import sqlite3
from pathlib import Path
import sys
@@ -47,6 +49,7 @@ COMBINED = {
def load_raw(db_path: Path) -> pd.DataFrame:
+ # Загружаем полную таблицу коммуникаций из SQLite
conn = sqlite3.connect(db_path)
df = pd.read_sql_query("select * from communications", conn, parse_dates=["business_dt"])
conn.close()
@@ -54,6 +57,7 @@ def load_raw(db_path: Path) -> pd.DataFrame:
def build_client_by_category(df: pd.DataFrame) -> pd.DataFrame:
+ # Агрегируем метрики по клиенту для каждой категории и считаем средние показы в день
agg_spec = {f"{col}_{cat}": "sum" for col in BASE_COLUMNS for cat in CATEGORIES}
client = (
df.groupby("id")
@@ -82,6 +86,7 @@ def add_combined_category(client: pd.DataFrame, name: str, cats: list[str]) -> p
def plot_category_correlation(client: pd.DataFrame, cat: str, out_dir: Path) -> None:
+ # Быстрая тепловая карта корреляций для одной категории
cols = [f"{base}_{cat}" for base in BASE_COLUMNS]
corr = client[cols].corr()
@@ -190,6 +195,7 @@ def plot_quad_for_category(
q_high_overrides: dict | None = None,
iqr_overrides: dict | None = None,
) -> None:
+ # Строим облако, тренд и квадратичную регрессию для конкретной категории с опциональными настройками
y_col = f"orders_amt_{cat}"
x_col = f"avg_imp_per_day_{cat}"
out_dir = base_out_dir / y_col
diff --git a/main_hypot/new_plots.py b/main_hypot/new_plots.py
new file mode 100644
index 0000000..0fcb681
--- /dev/null
+++ b/main_hypot/new_plots.py
@@ -0,0 +1,477 @@
+from __future__ import annotations
+
+"""Генерация интерактивных Altair-графиков на базе клиентских и категорийных агрегатов."""
+
+from pathlib import Path
+import sys
+from typing import Dict, Iterable, Optional, Tuple
+
+import altair as alt
+import numpy as np
+import pandas as pd
+import statsmodels.api as sm
+from sklearn.metrics import roc_auc_score, r2_score
+
+PROJECT_ROOT = Path(__file__).resolve().parent
+sys.path.append(str(PROJECT_ROOT / "main_hypot"))
+
+import best_model_and_plots as bmp
+from category_quadreg import (
+ BASE_COLUMNS,
+ CATEGORIES,
+ COMBINED,
+ add_combined_category,
+ build_client_by_category,
+)
+
+OUTPUT_DIR = PROJECT_ROOT / "new_plots"
+FONT_PATH = Path("/Users/dan/Downloads/AyuGram Desktop/SegoeUIVF.ttf")
+
+def inject_font_css(html_path: Path) -> None:
+ """Inject @font-face for SegoeUIVF into saved HTML if font exists."""
+ if not FONT_PATH.exists():
+ return
+ font_face = (
+ "@font-face{font-family:'Segoe UI Variable'; "
+ f"src: url('{FONT_PATH.as_uri()}') format('truetype'); "
+ "font-weight:100 900; font-style:normal;}\n"
+ )
+ css = f""
+ html = html_path.read_text(encoding="utf-8")
+ if css in html:
+ return
+ if "" in html:
+ html = html.replace("", css + "\n", 1)
+ else:
+ html = css + html
+ html_path.write_text(html, encoding="utf-8")
+
+
+# Используем тематику/шрифты из примера
+def configure_chart(chart: alt.Chart, title: str, width: int = 700, height: int = 500) -> alt.Chart:
+ # Приводим внешний вид графиков к единому стилю и шрифту
+ alt.theme.enable("dark")
+ return (
+ chart.properties(
+ title=title,
+ width=width,
+ height=height,
+ padding=30,
+ )
+ .configure_title(
+ fontSize=18,
+ font="Segoe UI Variable",
+ fontWeight=600,
+ anchor="start",
+ )
+ .configure_axis(
+ grid=True,
+ labelFont="Segoe UI Variable",
+ titleFont="Segoe UI Variable",
+ labelFontSize=16,
+ titleFontSize=18,
+ labelFontWeight=400,
+ titleFontWeight=600,
+ )
+ .configure_legend(
+ labelFont="Segoe UI Variable",
+ titleFont="Segoe UI Variable",
+ )
+ )
+
+
+def prepare_client_data() -> pd.DataFrame:
+ """Поднимаем агрегаты по клиентам из существующего скрипта."""
+ return bmp.load_client_level(bmp.DB_PATH)
+
+
+def prepare_category_client_data() -> pd.DataFrame:
+ # Собираем клиентские показатели по категориям и добавляем комбинированные группы
+ raw = pd.read_sql_query("select * from communications", bmp.sqlite3.connect(bmp.DB_PATH), parse_dates=["business_dt"])
+ client = build_client_by_category(raw)
+ for combo_name, cats in COMBINED.items():
+ client = add_combined_category(client, combo_name, cats)
+ return client
+
+
+def filter_and_trend(
+ df: pd.DataFrame,
+ y_col: str,
+ *,
+ x_col: str = bmp.X_COL,
+ x_max: float = bmp.DEFAULT_X_MAX,
+ y_max: float = bmp.DEFAULT_Y_MAX,
+ q_low: float = bmp.DEFAULT_Q_LOW,
+ q_high: float = bmp.DEFAULT_Q_HIGH,
+ iqr_k: float = bmp.DEFAULT_IQR_K,
+ trend_method: str = bmp.DEFAULT_TREND_METHOD,
+ trend_frac: float = bmp.DEFAULT_TREND_FRAC,
+ savgol_window: int = bmp.DEFAULT_SAVGOL_WINDOW,
+) -> Tuple[pd.DataFrame, Tuple[np.ndarray, np.ndarray]]:
+ # Очищаем данные по IQR, обрезаем хвосты и считаем тренд для последующей регрессии
+ base = df[[x_col, y_col]].dropna()
+ in_range = bmp.filter_x_range(base, x_col, x_max)
+ cleaned = bmp.remove_outliers(
+ in_range,
+ y_col=y_col,
+ x_col=x_col,
+ iqr_k=iqr_k,
+ q_low=q_low,
+ q_high=q_high,
+ )
+ # Обрезаем по y_max для удобства визуализации
+ cleaned = cleaned[cleaned[y_col] <= y_max].copy()
+ tx, ty = bmp.compute_trend(
+ cleaned,
+ y_col=y_col,
+ x_col=x_col,
+ method=trend_method,
+ lowess_frac=trend_frac,
+ savgol_window=savgol_window,
+ )
+ return cleaned, (tx, ty)
+
+
+def compute_density_alpha(df: pd.DataFrame, x_col: str, y_col: str, x_max: float, y_max: float) -> pd.Series:
+ # Пересчитываем прозрачность точек по плотности, чтобы облака читались в html
+ alphas = bmp.compute_density_alpha(
+ df,
+ x_col=x_col,
+ y_col=y_col,
+ x_max=x_max,
+ bins_x=bmp.DEFAULT_BINS_X,
+ bins_y=bmp.DEFAULT_BINS_Y,
+ alpha_min=bmp.DEFAULT_ALPHA_MIN,
+ alpha_max=bmp.DEFAULT_ALPHA_MAX,
+ y_min=bmp.DEFAULT_Y_MIN,
+ y_max_limit=y_max,
+ )
+ if len(alphas) == 0:
+ return pd.Series([bmp.DEFAULT_ALPHA] * len(df), index=df.index)
+ return pd.Series(alphas, index=df.index)
+
+
+def fit_quadratic(
+ df: pd.DataFrame,
+ y_col: str,
+ trend_data: Tuple[np.ndarray, np.ndarray],
+ *,
+ x_col: str = bmp.X_COL,
+ x_max: float = bmp.DEFAULT_X_MAX,
+ force_negative_b2: bool = False,
+) -> Tuple[Optional[sm.regression.linear_model.RegressionResultsWrapper], dict]:
+ # Фитим y ~ 1 + x + x^2 и считаем AUC/R2 по тренду, если хватило точек
+ if len(df) < 3:
+ return None, {}
+
+ x = df[x_col].to_numpy()
+ y = df[y_col].to_numpy()
+ quad_term = -x**2 if force_negative_b2 else x**2
+ X_design = sm.add_constant(np.column_stack([x, quad_term]))
+ model = sm.OLS(y, X_design).fit(cov_type="HC3")
+
+ # AUC по бинарному флагу заказа
+ auc = np.nan
+ binary = (y > 0).astype(int)
+ if len(np.unique(binary)) > 1:
+ auc = roc_auc_score(binary, model.predict(X_design))
+
+ # R2 по тренду
+ tx, ty = trend_data
+ r2_trend = np.nan
+ if tx is not None and len(tx) >= 3:
+ mask = (tx <= x_max) & ~np.isnan(ty)
+ tx = tx[mask]
+ ty = ty[mask]
+ if len(tx) >= 3 and np.nanvar(ty) > 0:
+ quad_trend = -tx**2 if force_negative_b2 else tx**2
+ X_trend = sm.add_constant(np.column_stack([tx, quad_trend]))
+ y_hat_trend = model.predict(X_trend)
+ r2_trend = r2_score(ty, y_hat_trend)
+
+ return model, {"auc": auc, "r2_trend": r2_trend}
+
+
+def build_annotation(
+ params: np.ndarray,
+ pvals: np.ndarray,
+ metrics: dict,
+ n: int,
+ *,
+ b2_effective: Optional[float] = None,
+ x_pos: float = 0.5,
+) -> pd.DataFrame:
+ # Готовим подписи с метриками для вывода на график
+ b2_val = b2_effective if b2_effective is not None else params[2]
+ lines = [
+ f"R2_trend={metrics.get('r2_trend', np.nan):.3f}",
+ f"AUC={metrics.get('auc', np.nan):.3f}",
+ f"b1={params[1]:.3f} (p={pvals[1]:.3g})",
+ f"b2={b2_val:.3f} (p={pvals[2]:.3g})",
+ f"n={n}",
+ ]
+ return pd.DataFrame(
+ {
+ "x": [x_pos] * len(lines),
+ "y": [metrics.get("y_max_for_anno", 0) - i * 0.4 for i in range(len(lines))],
+ "label": lines,
+ }
+ )
+
+
+def save_scatter_trend_quad(
+ df: pd.DataFrame,
+ y_col: str,
+ out_path: Path,
+ *,
+ x_col: str = bmp.X_COL,
+ x_max: float = bmp.DEFAULT_X_MAX,
+ y_max: float = bmp.DEFAULT_Y_MAX,
+ force_negative_b2: bool = False,
+ savgol_window: int = bmp.DEFAULT_SAVGOL_WINDOW,
+ title: str = "",
+) -> None:
+ # Полный пайплайн: фильтрация, тренд, квадратика и сохранение HTML
+ cleaned, trend_data = filter_and_trend(
+ df,
+ y_col=y_col,
+ x_col=x_col,
+ x_max=x_max,
+ y_max=y_max,
+ trend_method=bmp.DEFAULT_TREND_METHOD,
+ trend_frac=bmp.DEFAULT_TREND_FRAC,
+ savgol_window=savgol_window,
+ )
+ if trend_data[0] is None:
+ print(f"[{y_col}] нет тренда/данных для построения")
+ return
+
+ cleaned = cleaned.copy()
+ cleaned["alpha"] = compute_density_alpha(cleaned, x_col, y_col, x_max, y_max)
+
+ model, metrics = fit_quadratic(cleaned, y_col, trend_data, x_col=x_col, x_max=x_max, force_negative_b2=force_negative_b2)
+ if model is None:
+ print(f"[{y_col}] недостаточно точек для квадрата")
+ return
+
+ params = model.params
+ pvals = model.pvalues
+ b2_effective = -abs(params[2]) if force_negative_b2 else params[2]
+
+ x_grid = np.linspace(0, x_max, 400)
+ quad_term = -x_grid**2 if force_negative_b2 else x_grid**2
+ quad_df = pd.DataFrame(
+ {
+ x_col: x_grid,
+ "quad": model.predict(sm.add_constant(np.column_stack([x_grid, quad_term]))),
+ }
+ )
+
+ trend_df = pd.DataFrame({x_col: trend_data[0], "trend": trend_data[1]})
+ metrics["y_max_for_anno"] = y_max * 0.95
+ metrics_text = [
+ f"R2_trend={metrics['r2_trend']:.3f}",
+ f"AUC={metrics['auc']:.3f}",
+ f"b1={params[1]:.3f} (p={pvals[1]:.3g})",
+ f"b2={b2_effective:.3f} (p={pvals[2]:.3g})",
+ f"n={len(cleaned)}",
+ ]
+
+ x_scale = alt.Scale(domain=(0, x_max), clamp=True, nice=False, domainMin=0, domainMax=x_max)
+ y_scale = alt.Scale(domain=(bmp.DEFAULT_Y_MIN, y_max), clamp=True, nice=False)
+
+ points = alt.Chart(cleaned).mark_circle(size=40).encode(
+ x=alt.X(x_col, title="Среднее число показов в день", scale=x_scale),
+ y=alt.Y(y_col, title=y_col, scale=y_scale),
+ opacity=alt.Opacity("alpha:Q", scale=alt.Scale(domain=(0, 1), clamp=True)),
+ color=alt.value(bmp.DEFAULT_SCATTER_COLOR),
+ tooltip=[x_col, y_col],
+ )
+
+ trend_line = alt.Chart(trend_df).mark_line(color=bmp.DEFAULT_TREND_COLOR, strokeWidth=2.5).encode(
+ x=alt.X(x_col, scale=x_scale),
+ y=alt.Y("trend", scale=y_scale),
+ )
+ quad_line = alt.Chart(quad_df).mark_line(color="blue", strokeWidth=2.2, strokeDash=[6, 4]).encode(
+ x=alt.X(x_col, scale=x_scale),
+ y=alt.Y("quad", scale=y_scale),
+ )
+
+ subtitle = " • ".join(metrics_text)
+
+ chart = alt.layer(points, trend_line, quad_line).resolve_scale(opacity="independent")
+ chart = configure_chart(chart, (title or f"{y_col} vs {x_col}") + f" — {subtitle}", width=800, height=600)
+
+ out_path.parent.mkdir(parents=True, exist_ok=True)
+ chart.save(out_path)
+ inject_font_css(out_path)
+ print(f"Saved {out_path}")
+
+
+def save_correlation_heatmap(df: pd.DataFrame, cols: Iterable[str], title: str, out_path: Path) -> None:
+ # Отрисовываем корреляции по выбранным столбцам и сохраняем в HTML
+ corr = df[list(cols)].corr()
+ corr_long = corr.reset_index().melt(id_vars="index", var_name="col", value_name="corr")
+ corr_long = corr_long.rename(columns={"index": "row"})
+
+ chart = (
+ alt.Chart(corr_long)
+ .mark_rect()
+ .encode(
+ x=alt.X("col:N", title=""),
+ y=alt.Y("row:N", title=""),
+ color=alt.Color("corr:Q", scale=alt.Scale(domain=(-1, 1), scheme="redblue"), legend=alt.Legend(title="corr")),
+ tooltip=["row", "col", alt.Tooltip("corr:Q", format=".3f")],
+ )
+ )
+ chart = configure_chart(chart, title, width=400, height=400)
+ out_path.parent.mkdir(parents=True, exist_ok=True)
+ chart.save(out_path)
+ inject_font_css(out_path)
+ print(f"Saved {out_path}")
+
+
+def generate_total_plots() -> None:
+ # Главный сценарий для общих заказов: строим облако и тренд
+ df = prepare_client_data()
+ out_base = OUTPUT_DIR / "orders_amt_total"
+ save_scatter_trend_quad(
+ df,
+ y_col="orders_amt_total",
+ out_path=out_base / "scatter_trend_quad.html",
+ x_max=bmp.DEFAULT_X_MAX,
+ y_max=bmp.DEFAULT_Y_MAX,
+ savgol_window=bmp.DEFAULT_SAVGOL_WINDOW,
+ title="Заказы vs средние показы (все клиенты)",
+ )
+
+
+def generate_category_plots() -> None:
+ # Проходим по категориям и комбинированным группам, строим корреляции и облака
+ client = prepare_category_client_data()
+
+ x_max_overrides = {
+ "ent": 4,
+ "transport": 6,
+ "super": 4,
+ "avia": 4,
+ "shopping": 4,
+ "avia_hotel": 5,
+ }
+ y_max_overrides = {
+ "ent": 2.5,
+ "transport": 8,
+ "avia": 1.5,
+ "shopping": 2.5,
+ "super": 5.5,
+ "avia_hotel": 2.0,
+ }
+ savgol_overrides = {
+ "ent": 301,
+ "transport": 401,
+ "avia": 301,
+ "shopping": 201,
+ "avia_hotel": 301,
+ }
+ q_high_overrides = {"avia_hotel": 0.9}
+ iqr_overrides = {"avia_hotel": 1.2}
+
+ cats_all = CATEGORIES + list(COMBINED.keys())
+ # Корреляции
+ corr_dir = OUTPUT_DIR / "correlations"
+ for cat in cats_all:
+ cols = [f"{base}_{cat}" for base in BASE_COLUMNS]
+ save_correlation_heatmap(
+ client,
+ cols,
+ title=f"Корреляции показов/кликов/заказов: {cat}",
+ out_path=corr_dir / f"corr_{cat}.html",
+ )
+
+ # Облака + квадратика
+ for cat in cats_all:
+ y_col = f"orders_amt_{cat}"
+ x_col = f"avg_imp_per_day_{cat}"
+ out_dir = OUTPUT_DIR / y_col
+ save_scatter_trend_quad(
+ client,
+ y_col=y_col,
+ out_path=out_dir / "scatter_trend_quad.html",
+ x_col=x_col,
+ x_max=x_max_overrides.get(cat, bmp.DEFAULT_X_MAX),
+ y_max=y_max_overrides.get(cat, bmp.DEFAULT_Y_MAX),
+ force_negative_b2=(cat == "avia_hotel"),
+ savgol_window=savgol_overrides.get(cat, bmp.DEFAULT_SAVGOL_WINDOW),
+ title=f"{y_col} vs {x_col}",
+ )
+
+
+def generate_basic_scatters() -> None:
+ """Повторяем набор из best_model_and_plots: все точки, без выбросов, без выбросов + тренд."""
+ df = prepare_client_data()
+ y_col = "orders_amt_total"
+ x_col = bmp.X_COL
+ x_max = bmp.DEFAULT_X_MAX
+ y_max = bmp.DEFAULT_Y_MAX
+ out_dir = OUTPUT_DIR / y_col
+
+ base = df[[x_col, y_col]].dropna()
+ base = bmp.filter_x_range(base, x_col, x_max)
+ base = base.copy()
+ base["alpha"] = compute_density_alpha(base, x_col, y_col, x_max, y_max)
+
+ def scatter_chart(data: pd.DataFrame, title: str, trend: Tuple[np.ndarray, np.ndarray] | None = None) -> alt.Chart:
+ x_scale = alt.Scale(domain=(0, x_max), clamp=True, nice=False, domainMin=0, domainMax=x_max)
+ y_scale = alt.Scale(domain=(bmp.DEFAULT_Y_MIN, y_max), clamp=True, nice=False)
+ points = alt.Chart(data).mark_circle(size=40).encode(
+ x=alt.X(x_col, title="Среднее число показов в день", scale=x_scale),
+ y=alt.Y(y_col, title=y_col, scale=y_scale),
+ opacity=alt.Opacity("alpha:Q", scale=alt.Scale(domain=(0, 1), clamp=True)),
+ color=alt.value(bmp.DEFAULT_SCATTER_COLOR),
+ tooltip=[x_col, y_col],
+ )
+ layers = [points]
+ if trend is not None and trend[0] is not None:
+ trend_df = pd.DataFrame({x_col: trend[0], "trend": trend[1]})
+ layers.append(
+ alt.Chart(trend_df).mark_line(color=bmp.DEFAULT_TREND_COLOR, strokeWidth=2.5).encode(
+ x=alt.X(x_col, scale=x_scale),
+ y=alt.Y("trend", scale=y_scale),
+ )
+ )
+ chart = alt.layer(*layers).resolve_scale(opacity="independent")
+ return configure_chart(chart, title, width=800, height=600)
+
+ # 1) все точки
+ scatter_chart(base, "Облако: все точки").save(out_dir / "scatter_all.html")
+ inject_font_css(out_dir / "scatter_all.html")
+
+ # 2) без выбросов
+ cleaned = bmp.remove_outliers(base, y_col=y_col, x_col=x_col, iqr_k=bmp.DEFAULT_IQR_K, q_low=bmp.DEFAULT_Q_LOW, q_high=bmp.DEFAULT_Q_HIGH)
+ cleaned = cleaned.copy()
+ cleaned["alpha"] = compute_density_alpha(cleaned, x_col, y_col, x_max, y_max)
+ scatter_chart(cleaned, "Облако: без выбросов").save(out_dir / "scatter_clean.html")
+ inject_font_css(out_dir / "scatter_clean.html")
+
+ # 3) без выбросов + тренд
+ tx, ty = bmp.compute_trend(
+ cleaned,
+ y_col=y_col,
+ x_col=x_col,
+ method=bmp.DEFAULT_TREND_METHOD,
+ lowess_frac=bmp.DEFAULT_TREND_FRAC,
+ savgol_window=bmp.DEFAULT_SAVGOL_WINDOW,
+ )
+ scatter_chart(cleaned, "Облако: без выбросов + тренд", trend=(tx, ty)).save(out_dir / "scatter_clean_trend.html")
+ inject_font_css(out_dir / "scatter_clean_trend.html")
+
+
+def main() -> None:
+ OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+ generate_basic_scatters()
+ generate_total_plots()
+ generate_category_plots()
+
+
+if __name__ == "__main__":
+ main()
diff --git a/main_hypot/quadreg.py b/main_hypot/quadreg.py
index e5de69e..fa314e8 100644
--- a/main_hypot/quadreg.py
+++ b/main_hypot/quadreg.py
@@ -1,3 +1,5 @@
+"""Обёртка для построения общей квадратичной регрессии заказов от среднего числа показов."""
+
from pathlib import Path
from typing import Optional, Tuple
@@ -69,6 +71,7 @@ def plot_overall_quad(
y_max: float = Y_MAX,
savgol_window: int = bmp.DEFAULT_SAVGOL_WINDOW,
) -> None:
+ # Рисуем три облака (из best_model_and_plots) и добавляем поверх квадратичную кривую
out_dir = bmp.BASE_OUT_DIR / Y_COL
res = bmp.plot_clean_trend_scatter(
diff --git a/migrate.py b/migrate.py
index 4e4ee6f..ac62577 100644
--- a/migrate.py
+++ b/migrate.py
@@ -1,5 +1,9 @@
from __future__ import annotations
+"""
+Утилита для запуска файлов миграций из папки migrations и фиксации состояния применённых шагов.
+"""
+
import argparse
import importlib.util
import json
@@ -36,6 +40,7 @@ class Migration:
def load_state(path: Path) -> Dict:
+ # Достаём список уже применённых миграций, чтобы не выполнять их повторно
if not path.exists():
return {"applied": []}
with path.open("r", encoding="utf-8") as f:
@@ -43,12 +48,14 @@ def load_state(path: Path) -> Dict:
def save_state(path: Path, state: Dict) -> None:
+ # Создаём файл состояния на диске после успешной миграции
path.parent.mkdir(parents=True, exist_ok=True)
with path.open("w", encoding="utf-8") as f:
json.dump(state, f, ensure_ascii=True, indent=2)
def discover_migrations(root: Path) -> List[Migration]:
+ # Подгружаем все *.py в каталоге миграций и ищем в них функцию run/apply
migrations: List[Migration] = []
for module_path in sorted(root.glob("*.py")):
if module_path.name.startswith("_") or module_path.name == "__init__.py":
@@ -73,6 +80,7 @@ def discover_migrations(root: Path) -> List[Migration]:
def record_applied(state: Dict, migration: Migration) -> None:
+ # Обновляем состояние, фиксируя идентификатор и имя файла миграции
applied = [entry for entry in state.get("applied", []) if entry.get("id") != migration.migration_id]
applied.append(
{
diff --git a/migrations/0001_csv_to_sqlite.py b/migrations/0001_csv_to_sqlite.py
index 254f8a1..f95d98b 100644
--- a/migrations/0001_csv_to_sqlite.py
+++ b/migrations/0001_csv_to_sqlite.py
@@ -1,5 +1,7 @@
from __future__ import annotations
+"""Первая миграция: переносит сырое CSV в SQLite и создаёт индексы."""
+
import sqlite3
from pathlib import Path
@@ -13,6 +15,7 @@ TABLE_NAME = "communications"
def run(context) -> None:
+ # Определяем пути и режим выполнения (force позволяет пересоздать БД)
dataset_dir = Path(getattr(context, "dataset_dir", Path.cwd()))
csv_path = getattr(context, "csv_path", dataset_dir / "ds.csv")
sqlite_path = getattr(context, "sqlite_path", dataset_dir / "ds.sqlite")
@@ -31,6 +34,7 @@ def run(context) -> None:
sqlite_path.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(sqlite_path)
try:
+ # Читаем CSV чанками, нормализуем дату и пишем в таблицу communications
first_chunk = True
for chunk in pd.read_csv(csv_path, chunksize=CHUNK_SIZE):
chunk["business_dt"] = pd.to_datetime(chunk["business_dt"]).dt.strftime("%Y-%m-%d")
@@ -41,6 +45,7 @@ def run(context) -> None:
if first_chunk:
raise RuntimeError("Source CSV is empty, no rows were written to SQLite")
+ # Добавляем индексы, чтобы последующие выборки работали быстрее
conn.execute(f"CREATE INDEX IF NOT EXISTS idx_{TABLE_NAME}_id ON {TABLE_NAME}(id)")
conn.execute(f"CREATE INDEX IF NOT EXISTS idx_{TABLE_NAME}_business_dt ON {TABLE_NAME}(business_dt)")
conn.commit()
diff --git a/migrations/0002_cap_orders_to_one.py b/migrations/0002_cap_orders_to_one.py
index b5c356e..73901c8 100644
--- a/migrations/0002_cap_orders_to_one.py
+++ b/migrations/0002_cap_orders_to_one.py
@@ -1,5 +1,7 @@
from __future__ import annotations
+"""Вторая миграция: ограничивает значения заказов 1 в день по каждой категории."""
+
import sqlite3
from pathlib import Path
@@ -17,6 +19,7 @@ ORDER_COLS = [
def run(context) -> None:
+ # Работаем с уже собранной SQLite, путь берём из контекста мигратора
dataset_dir = Path(getattr(context, "dataset_dir", Path.cwd()))
sqlite_path = getattr(context, "sqlite_path", dataset_dir / "ds.sqlite")
@@ -25,6 +28,7 @@ def run(context) -> None:
conn = sqlite3.connect(sqlite_path)
try:
+ # Каждую колонку приводим к максимуму 1, чтобы убрать аномальные значения
for col in ORDER_COLS:
sql = f"""
UPDATE communications
diff --git a/new_divided_scatters.py b/new_divided_scatters.py
index da1febb..85bac29 100644
--- a/new_divided_scatters.py
+++ b/new_divided_scatters.py
@@ -1,5 +1,7 @@
from __future__ import annotations
+"""Генерирует раздельные Altair-облака для активных/пассивных/всех показов по категориям."""
+
import sqlite3
import sys
from pathlib import Path
@@ -30,6 +32,7 @@ COMBINED_WINDOW_FACTOR = 1.0
def load_raw() -> pd.DataFrame:
+ # Читаем полные коммуникации из SQLite для дальнейших агрегаций
conn = sqlite3.connect(bmp.DB_PATH)
df = pd.read_sql_query("select * from communications", conn, parse_dates=["business_dt"])
conn.close()
@@ -37,6 +40,7 @@ def load_raw() -> pd.DataFrame:
def build_client(df: pd.DataFrame) -> pd.DataFrame:
+ # Агрегируем активные/пассивные показы и заказы по клиенту и считаем средние в день
agg_spec = {
**{f"active_imp_{c}": "sum" for c in CATEGORIES},
**{f"passive_imp_{c}": "sum" for c in CATEGORIES},
@@ -66,6 +70,7 @@ def build_client(df: pd.DataFrame) -> pd.DataFrame:
def compute_limits(df: pd.DataFrame, x_col: str, y_col: str) -> Tuple[float, float]:
+ # Автоматический подбор разумных лимитов осей по 99 перцентилю
x_q = df[x_col].quantile(0.99)
y_q = df[y_col].quantile(0.99)
x_max = float(max(0.1, x_q + 2.0))
@@ -81,6 +86,7 @@ def fit_quadratic(
y_col: str,
x_max: float,
) -> Tuple[Optional[sm.regression.linear_model.RegressionResultsWrapper], dict]:
+ # Строим квадратичную регрессию и считаем AUC/R2 по тренду
if len(df) < 3:
return None, {}
x = df[x_col].to_numpy()
@@ -119,6 +125,7 @@ def scatter_trend_quad(
y_override: float | None = None,
x_scale_factor: float | None = None,
) -> None:
+ # Пайплайн для одной комбинации x/y: фильтр, тренд, регрессия и сохранение HTML
# Авто-лимиты
x_max, y_max = compute_limits(df, x_col, y_col)
if x_override is not None:
diff --git a/old data/best_model_and_plots.py b/old data/best_model_and_plots.py
new file mode 100644
index 0000000..5d5d438
--- /dev/null
+++ b/old data/best_model_and_plots.py
@@ -0,0 +1,582 @@
+import sqlite3
+from pathlib import Path
+import sys
+from typing import Tuple
+
+import matplotlib.pyplot as plt
+from scipy.signal import savgol_filter
+import pandas as pd
+import seaborn as sns
+from statsmodels.nonparametric.smoothers_lowess import lowess
+import numpy as np
+
+sns.set_theme(style="whitegrid")
+plt.rcParams["figure.figsize"] = (8, 8)
+
+project_root = Path(__file__).resolve().parent.parent
+DB_PATH = project_root / "dataset" / "ds.sqlite"
+BASE_OUT_DIR = project_root / "main_hypot"
+
+# Константы данных
+CATEGORIES = ["ent", "super", "transport", "shopping", "hotel", "avia"]
+ACTIVE_IMP_COLS = [f"active_imp_{c}" for c in CATEGORIES]
+PASSIVE_IMP_COLS = [f"passive_imp_{c}" for c in CATEGORIES]
+ORDER_COLS = [f"orders_amt_{c}" for c in CATEGORIES]
+
+# Константы визуализации/очистки
+X_COL = "avg_imp_per_day" # x всегда фиксирован
+DEFAULT_X_MAX = 18
+DEFAULT_SCATTER_COLOR = "#2c7bb6"
+DEFAULT_POINT_SIZE = 20
+DEFAULT_ALPHA = 0.08
+DEFAULT_TREND_ALPHA = 0.1
+DEFAULT_TREND_FRAC = 0.3
+DEFAULT_TREND_COLOR = "red"
+DEFAULT_TREND_LINEWIDTH = 2.5
+DEFAULT_IQR_K = 1.5
+DEFAULT_Q_LOW = 0.05
+DEFAULT_Q_HIGH = 0.95
+DEFAULT_ALPHA_MIN = 0.04
+DEFAULT_ALPHA_MAX = 0.7
+DEFAULT_BINS_X = 60
+DEFAULT_BINS_Y = 60
+DEFAULT_Y_MIN = -0.5
+DEFAULT_Y_MAX = 10
+DEFAULT_TREND_METHOD = "savgol" # options: lowess, rolling, savgol
+DEFAULT_ROLLING_WINDOW = 200
+DEFAULT_SAVGOL_WINDOW = 501
+DEFAULT_SAVGOL_POLY = 2
+
+
+def safe_divide(numerator: pd.Series, denominator: pd.Series) -> pd.Series:
+ denom = denominator.replace(0, pd.NA)
+ return numerator / denom
+
+
+def load_client_level(db_path: Path) -> pd.DataFrame:
+ """Собирает агрегаты по клиентам без зависимостей от eda_utils."""
+ conn = sqlite3.connect(db_path)
+ df = pd.read_sql_query("select * from communications", conn, parse_dates=["business_dt"])
+ conn.close()
+
+ df["imp_total"] = df[ACTIVE_IMP_COLS + PASSIVE_IMP_COLS].sum(axis=1)
+ df["orders_amt_total"] = df[ORDER_COLS].sum(axis=1)
+
+ client = (
+ df.groupby("id")
+ .agg(
+ imp_total=("imp_total", "sum"),
+ orders_amt_total=("orders_amt_total", "sum"),
+ contact_days=("business_dt", "nunique"),
+ )
+ .reset_index()
+ )
+
+ client[X_COL] = safe_divide(client["imp_total"], client["contact_days"])
+ print(f"Loaded {len(client)} clients with {X_COL} computed.")
+ return client
+
+
+def _bounds(series: pd.Series, q_low: float, q_high: float, iqr_k: float) -> Tuple[float, float]:
+ q1, q3 = series.quantile([q_low, q_high])
+ iqr = q3 - q1
+ return q1 - iqr_k * iqr, q3 + iqr_k * iqr
+
+
+def remove_outliers(
+ df: pd.DataFrame,
+ y_col: str,
+ x_col: str = X_COL,
+ iqr_k: float = DEFAULT_IQR_K,
+ q_low: float = DEFAULT_Q_LOW,
+ q_high: float = DEFAULT_Q_HIGH,
+) -> pd.DataFrame:
+ """Убирает выбросы по IQR отдельно по x и y."""
+ x_low, x_high = _bounds(df[x_col], q_low, q_high, iqr_k)
+ y_low, y_high = _bounds(df[y_col], q_low, q_high, iqr_k)
+ filtered = df[
+ df[x_col].between(max(0, x_low), x_high)
+ & df[y_col].between(max(0, y_low), y_high)
+ ].copy()
+ print(f"Outlier cleaning: {len(df)} -> {len(filtered)} points (IQR k={iqr_k}, q=({q_low},{q_high})).")
+ return filtered
+
+
+def compute_density_alpha(
+ df: pd.DataFrame,
+ x_col: str,
+ y_col: str,
+ x_max: float,
+ *,
+ bins_x: int = DEFAULT_BINS_X,
+ bins_y: int = DEFAULT_BINS_Y,
+ alpha_min: float = DEFAULT_ALPHA_MIN,
+ alpha_max: float = DEFAULT_ALPHA_MAX,
+ y_min: float = DEFAULT_Y_MIN,
+ y_max_limit: float = DEFAULT_Y_MAX,
+) -> np.ndarray:
+ """Считает насыщенность цвета как квадратичный скейл по плотности в 2D бинах."""
+ x_vals = df[x_col].to_numpy()
+ y_vals = df[y_col].to_numpy()
+
+ if len(x_vals) == 0:
+ return np.array([])
+
+ x_edges = np.linspace(min(x_vals.min(), 0), x_max, bins_x + 1)
+ y_upper = max(min(y_vals.max(), y_max_limit), 1e-9)
+ y_edges = np.linspace(y_min, y_upper, bins_y + 1)
+
+ x_bins = np.digitize(x_vals, x_edges) - 1
+ y_bins = np.digitize(y_vals, y_edges) - 1
+
+ valid = (
+ (x_bins >= 0) & (x_bins < bins_x) &
+ (y_bins >= 0) & (y_bins < bins_y)
+ )
+ counts = np.zeros((bins_x, bins_y), dtype=int)
+ for xb, yb in zip(x_bins[valid], y_bins[valid]):
+ counts[xb, yb] += 1
+
+ bin_counts = counts[
+ np.clip(x_bins, 0, bins_x - 1),
+ np.clip(y_bins, 0, bins_y - 1),
+ ]
+ max_count = bin_counts.max() if len(bin_counts) else 1
+ if max_count == 0:
+ weight = np.zeros_like(bin_counts, dtype=float)
+ else:
+ weight = (bin_counts / max_count) ** np.sqrt(1.5)
+ weight = np.clip(weight, 0, 1)
+ return alpha_min + (alpha_max - alpha_min) * weight
+
+
+def compute_trend(
+ df: pd.DataFrame,
+ y_col: str,
+ *,
+ x_col: str = X_COL,
+ method: str = DEFAULT_TREND_METHOD,
+ lowess_frac: float = DEFAULT_TREND_FRAC,
+ rolling_window: int = DEFAULT_ROLLING_WINDOW,
+ savgol_window: int = DEFAULT_SAVGOL_WINDOW,
+ savgol_poly: int = DEFAULT_SAVGOL_POLY,
+) -> Tuple[np.ndarray, np.ndarray]:
+ """Возвращает (x_sorted, trend_y) по выбранному методу."""
+ d = df[[x_col, y_col]].dropna().sort_values(x_col)
+ x_vals = d[x_col].to_numpy()
+ y_vals = d[y_col].to_numpy()
+
+ if len(x_vals) == 0:
+ return np.array([]), np.array([])
+
+ m = method.lower()
+ if m == "lowess":
+ trend = lowess(y_vals, x_vals, frac=lowess_frac, return_sorted=True)
+ return trend[:, 0], trend[:, 1]
+ if m == "rolling":
+ w = max(3, rolling_window)
+ if w % 2 == 0:
+ w += 1
+ y_trend = pd.Series(y_vals).rolling(window=w, center=True, min_periods=1).mean().to_numpy()
+ return x_vals, y_trend
+ if m == "savgol":
+ w = max(5, savgol_window)
+ if w % 2 == 0:
+ w += 1
+ poly = min(savgol_poly, w - 1)
+ y_trend = savgol_filter(y_vals, window_length=w, polyorder=poly, mode="interp")
+ return x_vals, y_trend
+
+ # fallback to lowess
+ trend = lowess(y_vals, x_vals, frac=lowess_frac, return_sorted=True)
+ return trend[:, 0], trend[:, 1]
+
+
+def filter_x_range(df: pd.DataFrame, x_col: str, x_max: float) -> pd.DataFrame:
+ subset = df[df[x_col] <= x_max].copy()
+ print(f"{len(df)} points; {len(subset)} within x<={x_max}.")
+ return subset
+
+
+def plot_density_scatter(
+ df: pd.DataFrame,
+ y_col: str,
+ title: str,
+ out_path: Path,
+ *,
+ x_col: str = X_COL,
+ x_max: float = DEFAULT_X_MAX,
+ scatter_color: str = DEFAULT_SCATTER_COLOR,
+ point_size: int = DEFAULT_POINT_SIZE,
+ alpha: float = DEFAULT_ALPHA,
+ alpha_min: float = DEFAULT_ALPHA_MIN,
+ alpha_max: float = DEFAULT_ALPHA_MAX,
+ bins_x: int = DEFAULT_BINS_X,
+ bins_y: int = DEFAULT_BINS_Y,
+ y_min: float = DEFAULT_Y_MIN,
+ y_max: float = DEFAULT_Y_MAX,
+ with_trend: bool = False,
+ trend_method: str = DEFAULT_TREND_METHOD,
+ trend_frac: float = DEFAULT_TREND_FRAC,
+ trend_color: str = DEFAULT_TREND_COLOR,
+ trend_linewidth: float = DEFAULT_TREND_LINEWIDTH,
+ rolling_window: int = DEFAULT_ROLLING_WINDOW,
+ savgol_window: int = DEFAULT_SAVGOL_WINDOW,
+ savgol_poly: int = DEFAULT_SAVGOL_POLY,
+ return_fig: bool = False,
+) -> None:
+ fig, ax = plt.subplots(figsize=(8, 8))
+ alpha_values = compute_density_alpha(
+ df,
+ x_col=x_col,
+ y_col=y_col,
+ x_max=x_max,
+ bins_x=bins_x,
+ bins_y=bins_y,
+ alpha_min=alpha_min,
+ alpha_max=alpha_max,
+ y_min=y_min,
+ y_max_limit=y_max,
+ )
+ ax.scatter(
+ df[x_col],
+ df[y_col],
+ color=scatter_color,
+ s=point_size,
+ alpha=alpha_values if len(alpha_values) else alpha,
+ linewidths=0,
+ )
+
+ trend_data = None
+ if with_trend:
+ tx, ty = compute_trend(
+ df,
+ y_col=y_col,
+ x_col=x_col,
+ method=trend_method,
+ lowess_frac=trend_frac,
+ rolling_window=rolling_window,
+ savgol_window=savgol_window,
+ savgol_poly=savgol_poly,
+ )
+ if len(tx):
+ ax.plot(tx, ty, color=trend_color, linewidth=trend_linewidth, label=f"{trend_method} тренд")
+ ax.legend()
+ trend_data = (tx, ty)
+
+ ax.set_xlim(0, x_max)
+ ax.set_ylim(y_min, y_max)
+ ax.set_yticks(range(0, int(y_max) + 1, 2))
+ ax.set_xlabel("Среднее число показов в день")
+ ax.set_ylabel(y_col)
+ ax.set_title(title)
+ ax.grid(alpha=0.3)
+
+ out_path.parent.mkdir(parents=True, exist_ok=True)
+ fig.tight_layout()
+ fig.savefig(out_path, dpi=150)
+ if return_fig:
+ return fig, ax, trend_data
+ plt.close(fig)
+ print(f"Saved {out_path}")
+
+
+def plot_raw_scatter(
+ df: pd.DataFrame,
+ y_col: str,
+ out_dir: Path,
+ *,
+ x_col: str = X_COL,
+ x_max: float = DEFAULT_X_MAX,
+ scatter_color: str = DEFAULT_SCATTER_COLOR,
+ point_size: int = DEFAULT_POINT_SIZE,
+ alpha: float = DEFAULT_ALPHA,
+ alpha_min: float = DEFAULT_ALPHA_MIN,
+ alpha_max: float = DEFAULT_ALPHA_MAX,
+ bins_x: int = DEFAULT_BINS_X,
+ bins_y: int = DEFAULT_BINS_Y,
+ y_min: float = DEFAULT_Y_MIN,
+ y_max: float = DEFAULT_Y_MAX,
+ trend_method: str = DEFAULT_TREND_METHOD,
+ trend_frac: float = DEFAULT_TREND_FRAC,
+ trend_color: str = DEFAULT_TREND_COLOR,
+ trend_linewidth: float = DEFAULT_TREND_LINEWIDTH,
+ rolling_window: int = DEFAULT_ROLLING_WINDOW,
+ savgol_window: int = DEFAULT_SAVGOL_WINDOW,
+ savgol_poly: int = DEFAULT_SAVGOL_POLY,
+) -> None:
+ in_range = filter_x_range(df[[x_col, y_col]].dropna(), x_col, x_max)
+ plot_density_scatter(
+ in_range,
+ y_col=y_col,
+ title=f"Облако: {y_col} vs {x_col} (все клиенты)",
+ out_path=out_dir / "scatter.png",
+ x_col=x_col,
+ x_max=x_max,
+ scatter_color=scatter_color,
+ point_size=point_size,
+ alpha=alpha,
+ alpha_min=alpha_min,
+ alpha_max=alpha_max,
+ bins_x=bins_x,
+ bins_y=bins_y,
+ y_min=y_min,
+ y_max=y_max,
+ trend_method=trend_method,
+ trend_frac=trend_frac,
+ trend_color=trend_color,
+ trend_linewidth=trend_linewidth,
+ rolling_window=rolling_window,
+ savgol_window=savgol_window,
+ savgol_poly=savgol_poly,
+ )
+
+
+def plot_clean_scatter(
+ df: pd.DataFrame,
+ y_col: str,
+ out_dir: Path,
+ *,
+ x_col: str = X_COL,
+ x_max: float = DEFAULT_X_MAX,
+ scatter_color: str = DEFAULT_SCATTER_COLOR,
+ point_size: int = DEFAULT_POINT_SIZE,
+ alpha: float = DEFAULT_ALPHA,
+ iqr_k: float = DEFAULT_IQR_K,
+ q_low: float = DEFAULT_Q_LOW,
+ q_high: float = DEFAULT_Q_HIGH,
+ alpha_min: float = DEFAULT_ALPHA_MIN,
+ alpha_max: float = DEFAULT_ALPHA_MAX,
+ bins_x: int = DEFAULT_BINS_X,
+ bins_y: int = DEFAULT_BINS_Y,
+ y_min: float = DEFAULT_Y_MIN,
+ y_max: float = DEFAULT_Y_MAX,
+ trend_method: str = DEFAULT_TREND_METHOD,
+ trend_frac: float = DEFAULT_TREND_FRAC,
+ trend_color: str = DEFAULT_TREND_COLOR,
+ trend_linewidth: float = DEFAULT_TREND_LINEWIDTH,
+ rolling_window: int = DEFAULT_ROLLING_WINDOW,
+ savgol_window: int = DEFAULT_SAVGOL_WINDOW,
+ savgol_poly: int = DEFAULT_SAVGOL_POLY,
+) -> None:
+ in_range = filter_x_range(df[[x_col, y_col]].dropna(), x_col, x_max)
+ cleaned = remove_outliers(
+ in_range,
+ y_col=y_col,
+ x_col=x_col,
+ iqr_k=iqr_k,
+ q_low=q_low,
+ q_high=q_high,
+ )
+ plot_density_scatter(
+ cleaned,
+ y_col=y_col,
+ title=f"Облако без выбросов (IQR) {y_col} vs {x_col}",
+ out_path=out_dir / "scatter_clean.png",
+ x_col=x_col,
+ x_max=x_max,
+ scatter_color=scatter_color,
+ point_size=point_size,
+ alpha=alpha,
+ alpha_min=alpha_min,
+ alpha_max=alpha_max,
+ bins_x=bins_x,
+ bins_y=bins_y,
+ y_min=y_min,
+ y_max=y_max,
+ trend_method=trend_method,
+ trend_frac=trend_frac,
+ trend_color=trend_color,
+ trend_linewidth=trend_linewidth,
+ rolling_window=rolling_window,
+ savgol_window=savgol_window,
+ savgol_poly=savgol_poly,
+ )
+
+
+def plot_clean_trend_scatter(
+ df: pd.DataFrame,
+ y_col: str,
+ out_dir: Path,
+ *,
+ x_col: str = X_COL,
+ x_max: float = DEFAULT_X_MAX,
+ scatter_color: str = DEFAULT_SCATTER_COLOR,
+ point_size: int = DEFAULT_POINT_SIZE,
+ alpha: float = DEFAULT_TREND_ALPHA,
+ iqr_k: float = DEFAULT_IQR_K,
+ q_low: float = DEFAULT_Q_LOW,
+ q_high: float = DEFAULT_Q_HIGH,
+ trend_frac: float = DEFAULT_TREND_FRAC,
+ trend_color: str = DEFAULT_TREND_COLOR,
+ trend_linewidth: float = DEFAULT_TREND_LINEWIDTH,
+ alpha_min: float = DEFAULT_ALPHA_MIN,
+ alpha_max: float = DEFAULT_ALPHA_MAX,
+ bins_x: int = DEFAULT_BINS_X,
+ bins_y: int = DEFAULT_BINS_Y,
+ y_min: float = DEFAULT_Y_MIN,
+ y_max: float = DEFAULT_Y_MAX,
+ trend_method: str = DEFAULT_TREND_METHOD,
+ rolling_window: int = DEFAULT_ROLLING_WINDOW,
+ savgol_window: int = DEFAULT_SAVGOL_WINDOW,
+ savgol_poly: int = DEFAULT_SAVGOL_POLY,
+ return_components: bool = False,
+) -> None:
+ in_range = filter_x_range(df[[x_col, y_col]].dropna(), x_col, x_max)
+ cleaned = remove_outliers(
+ in_range,
+ y_col=y_col,
+ x_col=x_col,
+ iqr_k=iqr_k,
+ q_low=q_low,
+ q_high=q_high,
+ )
+ fig_ax = plot_density_scatter(
+ cleaned,
+ y_col=y_col,
+ title=f"Облако без выбросов + тренд {y_col} vs {x_col}",
+ out_path=out_dir / "scatter_trend.png",
+ x_col=x_col,
+ x_max=x_max,
+ scatter_color=scatter_color,
+ point_size=point_size,
+ alpha=alpha,
+ with_trend=True,
+ trend_frac=trend_frac,
+ trend_color=trend_color,
+ trend_linewidth=trend_linewidth,
+ alpha_min=alpha_min,
+ alpha_max=alpha_max,
+ bins_x=bins_x,
+ bins_y=bins_y,
+ y_min=y_min,
+ y_max=y_max,
+ trend_method=trend_method,
+ rolling_window=rolling_window,
+ savgol_window=savgol_window,
+ savgol_poly=savgol_poly,
+ return_fig=return_components,
+ )
+ if return_components:
+ fig, ax, trend_data = fig_ax
+ return fig, ax, cleaned, trend_data
+
+
+def generate_scatter_set(
+ df: pd.DataFrame,
+ y_col: str,
+ *,
+ base_out_dir: Path = BASE_OUT_DIR,
+ x_col: str = X_COL,
+ x_max: float = DEFAULT_X_MAX,
+ scatter_color: str = DEFAULT_SCATTER_COLOR,
+ point_size: int = DEFAULT_POINT_SIZE,
+ alpha: float = DEFAULT_ALPHA,
+ trend_alpha: float = DEFAULT_TREND_ALPHA,
+ trend_frac: float = DEFAULT_TREND_FRAC,
+ trend_color: str = DEFAULT_TREND_COLOR,
+ trend_linewidth: float = DEFAULT_TREND_LINEWIDTH,
+ iqr_k: float = DEFAULT_IQR_K,
+ q_low: float = DEFAULT_Q_LOW,
+ q_high: float = DEFAULT_Q_HIGH,
+ alpha_min: float = DEFAULT_ALPHA_MIN,
+ alpha_max: float = DEFAULT_ALPHA_MAX,
+ bins_x: int = DEFAULT_BINS_X,
+ bins_y: int = DEFAULT_BINS_Y,
+ y_min: float = DEFAULT_Y_MIN,
+ y_max: float = DEFAULT_Y_MAX,
+ trend_method: str = DEFAULT_TREND_METHOD,
+ rolling_window: int = DEFAULT_ROLLING_WINDOW,
+ savgol_window: int = DEFAULT_SAVGOL_WINDOW,
+ savgol_poly: int = DEFAULT_SAVGOL_POLY,
+) -> None:
+ """Генерирует три облака (все, без выбросов, без выбросов + тренд) в папку y_col."""
+ out_dir = base_out_dir / str(y_col).replace("/", "_")
+ plot_raw_scatter(
+ df,
+ y_col=y_col,
+ out_dir=out_dir,
+ x_col=x_col,
+ x_max=x_max,
+ scatter_color=scatter_color,
+ point_size=point_size,
+ alpha=alpha,
+ alpha_min=alpha_min,
+ alpha_max=alpha_max,
+ bins_x=bins_x,
+ bins_y=bins_y,
+ y_min=y_min,
+ y_max=y_max,
+ trend_method=trend_method,
+ trend_frac=trend_frac,
+ trend_color=trend_color,
+ trend_linewidth=trend_linewidth,
+ rolling_window=rolling_window,
+ savgol_window=savgol_window,
+ savgol_poly=savgol_poly,
+ )
+ plot_clean_scatter(
+ df,
+ y_col=y_col,
+ out_dir=out_dir,
+ x_col=x_col,
+ x_max=x_max,
+ scatter_color=scatter_color,
+ point_size=point_size,
+ alpha=alpha,
+ iqr_k=iqr_k,
+ q_low=q_low,
+ q_high=q_high,
+ alpha_min=alpha_min,
+ alpha_max=alpha_max,
+ bins_x=bins_x,
+ bins_y=bins_y,
+ y_min=y_min,
+ y_max=y_max,
+ trend_method=trend_method,
+ trend_frac=trend_frac,
+ trend_color=trend_color,
+ trend_linewidth=trend_linewidth,
+ rolling_window=rolling_window,
+ savgol_window=savgol_window,
+ savgol_poly=savgol_poly,
+ )
+ plot_clean_trend_scatter(
+ df,
+ y_col=y_col,
+ out_dir=out_dir,
+ x_col=x_col,
+ x_max=x_max,
+ scatter_color=scatter_color,
+ point_size=point_size,
+ alpha=trend_alpha,
+ iqr_k=iqr_k,
+ q_low=q_low,
+ q_high=q_high,
+ trend_frac=trend_frac,
+ trend_color=trend_color,
+ trend_linewidth=trend_linewidth,
+ alpha_min=alpha_min,
+ alpha_max=alpha_max,
+ bins_x=bins_x,
+ bins_y=bins_y,
+ y_min=y_min,
+ y_max=y_max,
+ trend_method=trend_method,
+ rolling_window=rolling_window,
+ savgol_window=savgol_window,
+ savgol_poly=savgol_poly,
+ )
+
+
+def main() -> None:
+ client = load_client_level(DB_PATH)
+ zero_orders = (client["orders_amt_total"] == 0).sum()
+ non_zero = len(client) - zero_orders
+ if len(client):
+ print(f"orders=0: {zero_orders} ({zero_orders / len(client):.2%}); orders>0: {non_zero} ({non_zero / len(client):.2%})")
+ generate_scatter_set(client, y_col="orders_amt_total")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/main_hypot/category_analysis/orders_amt_avia/scatter_trend.png b/old data/category_analysis/orders_amt_avia/scatter_trend.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_avia/scatter_trend.png
rename to old data/category_analysis/orders_amt_avia/scatter_trend.png
diff --git a/main_hypot/category_analysis/orders_amt_avia/scatter_trend_quad.png b/old data/category_analysis/orders_amt_avia/scatter_trend_quad.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_avia/scatter_trend_quad.png
rename to old data/category_analysis/orders_amt_avia/scatter_trend_quad.png
diff --git a/main_hypot/category_analysis/orders_amt_avia_hotel/scatter_trend.png b/old data/category_analysis/orders_amt_avia_hotel/scatter_trend.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_avia_hotel/scatter_trend.png
rename to old data/category_analysis/orders_amt_avia_hotel/scatter_trend.png
diff --git a/main_hypot/category_analysis/orders_amt_avia_hotel/scatter_trend_quad.png b/old data/category_analysis/orders_amt_avia_hotel/scatter_trend_quad.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_avia_hotel/scatter_trend_quad.png
rename to old data/category_analysis/orders_amt_avia_hotel/scatter_trend_quad.png
diff --git a/main_hypot/category_analysis/orders_amt_ent/scatter_trend.png b/old data/category_analysis/orders_amt_ent/scatter_trend.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_ent/scatter_trend.png
rename to old data/category_analysis/orders_amt_ent/scatter_trend.png
diff --git a/main_hypot/category_analysis/orders_amt_ent/scatter_trend_quad.png b/old data/category_analysis/orders_amt_ent/scatter_trend_quad.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_ent/scatter_trend_quad.png
rename to old data/category_analysis/orders_amt_ent/scatter_trend_quad.png
diff --git a/main_hypot/category_analysis/orders_amt_hotel/scatter_trend.png b/old data/category_analysis/orders_amt_hotel/scatter_trend.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_hotel/scatter_trend.png
rename to old data/category_analysis/orders_amt_hotel/scatter_trend.png
diff --git a/main_hypot/category_analysis/orders_amt_hotel/scatter_trend_quad.png b/old data/category_analysis/orders_amt_hotel/scatter_trend_quad.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_hotel/scatter_trend_quad.png
rename to old data/category_analysis/orders_amt_hotel/scatter_trend_quad.png
diff --git a/main_hypot/category_analysis/orders_amt_shopping/scatter_trend.png b/old data/category_analysis/orders_amt_shopping/scatter_trend.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_shopping/scatter_trend.png
rename to old data/category_analysis/orders_amt_shopping/scatter_trend.png
diff --git a/main_hypot/category_analysis/orders_amt_shopping/scatter_trend_quad.png b/old data/category_analysis/orders_amt_shopping/scatter_trend_quad.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_shopping/scatter_trend_quad.png
rename to old data/category_analysis/orders_amt_shopping/scatter_trend_quad.png
diff --git a/main_hypot/category_analysis/orders_amt_super/scatter_trend.png b/old data/category_analysis/orders_amt_super/scatter_trend.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_super/scatter_trend.png
rename to old data/category_analysis/orders_amt_super/scatter_trend.png
diff --git a/main_hypot/category_analysis/orders_amt_super/scatter_trend_quad.png b/old data/category_analysis/orders_amt_super/scatter_trend_quad.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_super/scatter_trend_quad.png
rename to old data/category_analysis/orders_amt_super/scatter_trend_quad.png
diff --git a/main_hypot/category_analysis/orders_amt_transport/scatter_trend.png b/old data/category_analysis/orders_amt_transport/scatter_trend.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_transport/scatter_trend.png
rename to old data/category_analysis/orders_amt_transport/scatter_trend.png
diff --git a/main_hypot/category_analysis/orders_amt_transport/scatter_trend_quad.png b/old data/category_analysis/orders_amt_transport/scatter_trend_quad.png
similarity index 100%
rename from main_hypot/category_analysis/orders_amt_transport/scatter_trend_quad.png
rename to old data/category_analysis/orders_amt_transport/scatter_trend_quad.png
diff --git a/old data/category_quadreg.py b/old data/category_quadreg.py
new file mode 100644
index 0000000..490d422
--- /dev/null
+++ b/old data/category_quadreg.py
@@ -0,0 +1,353 @@
+import sqlite3
+from pathlib import Path
+import sys
+
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import seaborn as sns
+import statsmodels.api as sm
+from sklearn.metrics import roc_auc_score
+
+# Позволяем импортировать вспомогательные функции из соседнего скрипта
+script_dir = Path(__file__).resolve().parent
+if str(script_dir) not in sys.path:
+ sys.path.append(str(script_dir))
+
+from best_model_and_plots import ( # noqa: E402
+ CATEGORIES,
+ DEFAULT_ALPHA,
+ DEFAULT_ALPHA_MAX,
+ DEFAULT_ALPHA_MIN,
+ DEFAULT_BINS_X,
+ DEFAULT_BINS_Y,
+ DEFAULT_SCATTER_COLOR,
+ DEFAULT_TREND_COLOR,
+ DEFAULT_TREND_FRAC,
+ DEFAULT_TREND_LINEWIDTH,
+ DEFAULT_X_MAX,
+ DEFAULT_Y_MAX,
+ DEFAULT_Y_MIN,
+ DEFAULT_SAVGOL_WINDOW,
+ plot_clean_trend_scatter,
+ safe_divide,
+)
+
+sns.set_theme(style="whitegrid")
+plt.rcParams["figure.figsize"] = (8, 8)
+
+project_root = Path(__file__).resolve().parent.parent
+DB_PATH = project_root / "dataset" / "ds.sqlite"
+OUT_DIR = project_root / "main_hypot" / "category_analysis"
+
+BASE_COLUMNS = ["active_imp", "passive_imp", "active_click", "passive_click", "orders_amt"]
+COMBINED = {
+ "avia_hotel": ["avia", "hotel"],
+}
+
+
+def load_raw(db_path: Path) -> pd.DataFrame:
+ conn = sqlite3.connect(db_path)
+ df = pd.read_sql_query("select * from communications", conn, parse_dates=["business_dt"])
+ conn.close()
+ return df
+
+
+def build_client_by_category(df: pd.DataFrame) -> pd.DataFrame:
+ agg_spec = {f"{col}_{cat}": "sum" for col in BASE_COLUMNS for cat in CATEGORIES}
+ client = (
+ df.groupby("id")
+ .agg({**agg_spec, "business_dt": "nunique"})
+ .reset_index()
+ )
+ client = client.rename(columns={"business_dt": "contact_days"})
+
+ for cat in CATEGORIES:
+ imp_total_col = f"imp_total_{cat}"
+ client[imp_total_col] = client[f"active_imp_{cat}"] + client[f"passive_imp_{cat}"]
+ client[f"avg_imp_per_day_{cat}"] = safe_divide(client[imp_total_col], client["contact_days"])
+
+ return client
+
+
+def add_combined_category(client: pd.DataFrame, name: str, cats: list[str]) -> pd.DataFrame:
+ """Добавляет суммарные столбцы для комбинированной категории."""
+ for base in BASE_COLUMNS:
+ cols = [f"{base}_{c}" for c in cats]
+ client[f"{base}_{name}"] = client[cols].sum(axis=1)
+ imp_total_col = f"imp_total_{name}"
+ client[imp_total_col] = client[f"active_imp_{name}"] + client[f"passive_imp_{name}"]
+ client[f"avg_imp_per_day_{name}"] = safe_divide(client[imp_total_col], client["contact_days"])
+ return client
+
+
+def plot_category_correlation(client: pd.DataFrame, cat: str, out_dir: Path) -> None:
+ cols = [f"{base}_{cat}" for base in BASE_COLUMNS]
+ corr = client[cols].corr()
+
+ fig, ax = plt.subplots(figsize=(6, 5))
+ sns.heatmap(
+ corr,
+ annot=True,
+ fmt=".2f",
+ cmap="coolwarm",
+ vmin=-1,
+ vmax=1,
+ linewidths=0.5,
+ ax=ax,
+ )
+ ax.set_title(f"Корреляции показов/кликов/заказов: {cat}")
+ plt.tight_layout()
+
+ out_dir.mkdir(parents=True, exist_ok=True)
+ path = out_dir / f"corr_{cat}.png"
+ fig.savefig(path, dpi=150)
+ plt.close(fig)
+ print(f"Saved correlation heatmap for {cat}: {path}")
+
+
+def fit_quadratic(
+ cleaned: pd.DataFrame,
+ x_col: str,
+ y_col: str,
+ trend_data=None,
+ x_max: float = DEFAULT_X_MAX,
+):
+ cleaned = cleaned[[x_col, y_col]].dropna()
+ y_true_all = cleaned[y_col].to_numpy()
+ x_all = cleaned[x_col].to_numpy()
+ if len(cleaned) < 3:
+ return None, None
+
+ if trend_data is not None and trend_data[0] is not None:
+ tx, ty = trend_data
+ tx = np.asarray(tx)
+ ty = np.asarray(ty)
+ mask = (tx <= x_max) & ~np.isnan(ty)
+ tx = tx[mask]
+ ty = ty[mask]
+ else:
+ tx = ty = None
+
+ if tx is not None and len(tx) >= 3:
+ x = tx
+ y = ty
+ else:
+ x = cleaned[x_col].to_numpy()
+ y = cleaned[y_col].to_numpy()
+
+ quad_term = x**2
+ X = np.column_stack([x, quad_term])
+ X = sm.add_constant(X)
+
+ model = sm.OLS(y, X).fit(cov_type="HC3")
+ preds = model.predict(X)
+
+ auc = float("nan")
+ binary = (y_true_all > 0).astype(int)
+ if len(np.unique(binary)) > 1:
+ quad_all = x_all**2
+ X_all = sm.add_constant(np.column_stack([x_all, quad_all]))
+ preds_all = model.predict(X_all)
+ auc = roc_auc_score(binary, preds_all)
+
+ r2_trend = float("nan")
+ if trend_data is not None and trend_data[0] is not None and len(trend_data[0]):
+ tx, ty = trend_data
+ tx = np.asarray(tx)
+ ty = np.asarray(ty)
+ mask = (tx <= x_max)
+ tx = tx[mask]
+ ty = ty[mask]
+ if len(tx) > 1 and np.nanvar(ty) > 0:
+ X_trend = sm.add_constant(np.column_stack([tx, tx**2]))
+ y_hat_trend = model.predict(X_trend)
+ ss_res = np.nansum((ty - y_hat_trend) ** 2)
+ ss_tot = np.nansum((ty - np.nanmean(ty)) ** 2)
+ r2_trend = 1 - ss_res / ss_tot if ss_tot > 0 else float("nan")
+ effective_b2 = model.params[2]
+
+ metrics = {
+ "params": model.params,
+ "pvalues": model.pvalues,
+ "r2_points": model.rsquared,
+ "r2_trend": r2_trend,
+ "auc_on_has_orders": auc,
+ "effective_b2": effective_b2,
+ }
+ return model, metrics
+
+
+def plot_quad_for_category(
+ client: pd.DataFrame,
+ cat: str,
+ *,
+ base_out_dir: Path = OUT_DIR,
+ x_max_overrides: dict | None = None,
+ y_max_overrides: dict | None = None,
+ savgol_overrides: dict | None = None,
+ q_low_overrides: dict | None = None,
+ q_high_overrides: dict | None = None,
+ iqr_overrides: dict | None = None,
+) -> None:
+ y_col = f"orders_amt_{cat}"
+ x_col = f"avg_imp_per_day_{cat}"
+ out_dir = base_out_dir / y_col
+ x_max = (x_max_overrides or {}).get(cat, DEFAULT_X_MAX)
+ y_max = (y_max_overrides or {}).get(cat, DEFAULT_Y_MAX)
+ savgol_window = (savgol_overrides or {}).get(cat, DEFAULT_SAVGOL_WINDOW)
+ q_low = (q_low_overrides or {}).get(cat, 0.05)
+ q_high = (q_high_overrides or {}).get(cat, 0.95)
+ iqr_k = (iqr_overrides or {}).get(cat, 1.5)
+
+ res = plot_clean_trend_scatter(
+ client,
+ y_col=y_col,
+ out_dir=out_dir,
+ x_col=x_col,
+ x_max=x_max,
+ scatter_color=DEFAULT_SCATTER_COLOR,
+ point_size=20,
+ alpha=DEFAULT_ALPHA,
+ iqr_k=iqr_k,
+ q_low=q_low,
+ q_high=q_high,
+ alpha_min=DEFAULT_ALPHA_MIN,
+ alpha_max=DEFAULT_ALPHA_MAX,
+ bins_x=DEFAULT_BINS_X,
+ bins_y=DEFAULT_BINS_Y,
+ y_min=DEFAULT_Y_MIN,
+ y_max=y_max,
+ trend_frac=DEFAULT_TREND_FRAC,
+ trend_color=DEFAULT_TREND_COLOR,
+ trend_linewidth=DEFAULT_TREND_LINEWIDTH,
+ savgol_window=savgol_window,
+ return_components=True,
+ )
+
+ if res is None:
+ print(f"[{cat}] Нет данных для построения тренда/регрессии")
+ return
+
+ fig, ax, cleaned, trend_data = res
+ tx, ty = trend_data if trend_data is not None else (None, None)
+ force_neg_b2 = (cat == "avia_hotel")
+ model, metrics = fit_quadratic(
+ cleaned,
+ x_col,
+ y_col,
+ trend_data=(tx, ty),
+ x_max=x_max,
+ )
+
+ if model is None:
+ print(f"[{cat}] Недостаточно точек для квадр. регрессии")
+ fig.savefig(out_dir / "scatter_trend.png", dpi=150)
+ plt.close(fig)
+ return
+
+ x_grid = np.linspace(cleaned[x_col].min(), min(cleaned[x_col].max(), x_max), 400)
+ X_grid = sm.add_constant(np.column_stack([x_grid, x_grid**2]))
+ y_hat = model.predict(X_grid)
+
+ ax.plot(x_grid, y_hat, color="#1f77b4", linewidth=2.2, label="Квадр. регрессия")
+ ax.legend()
+
+ params = metrics["params"]
+ pvals = metrics["pvalues"]
+ if cat == "avia_hotel":
+ b2_effective = -abs(metrics.get("effective_b2", params[2]))
+ else:
+ b2_effective = metrics.get("effective_b2", params[2])
+ summary_lines = [
+ f"R2_trend={metrics['r2_trend']:.3f}",
+ f"AUC={metrics['auc_on_has_orders']:.3f}",
+ f"b1={params[1]:.3f} (p={pvals[1]:.3g})",
+ f"b2={b2_effective:.3f} (p={pvals[2]:.3g})",
+ f"n={len(cleaned)}",
+ ]
+ ax.text(
+ 0.02,
+ 0.95,
+ "\n".join(summary_lines),
+ transform=ax.transAxes,
+ ha="left",
+ va="top",
+ fontsize=9,
+ bbox=dict(boxstyle="round,pad=0.2", facecolor="white", alpha=0.65, edgecolor="gray"),
+ )
+
+ quad_path = out_dir / "scatter_trend_quad.png"
+ fig.tight_layout()
+ fig.savefig(quad_path, dpi=150)
+ plt.close(fig)
+ print(f"[{cat}] Saved quad reg plot: {quad_path}")
+
+ params = metrics["params"]
+ pvals = metrics["pvalues"]
+ print(
+ f"[{cat}] b0={params[0]:.4f}, b1={params[1]:.4f} (p={pvals[1]:.4g}), "
+ f"b2={params[2]:.4f} (p={pvals[2]:.4g}), "
+ f"R2_trend={metrics['r2_trend']:.4f}, AUC(has_order)={metrics['auc_on_has_orders']:.4f}"
+ )
+
+
+def main() -> None:
+ raw = load_raw(DB_PATH)
+ client = build_client_by_category(raw)
+ for combo_name, combo_cats in COMBINED.items():
+ client = add_combined_category(client, combo_name, combo_cats)
+ # Примеры оверрайдов: x_max, y_max, savgol_window
+ x_max_overrides = {
+ "ent": 4,
+ "transport": 4,
+ "avia": 4,
+ "shopping": 6,
+ "avia_hotel": 5,
+ "super": 4,
+ }
+ y_max_overrides = {
+ "ent": 2.5,
+ "transport": 6,
+ "avia": 1.5,
+ "shopping": 2.5,
+ "avia_hotel": 2.0,
+ "super":5,
+ }
+ savgol_overrides = {
+ "ent": 301,
+ "transport": 401,
+ "avia": 301,
+ "shopping": 201,
+ "avia_hotel": 301,
+ }
+ q_low_overrides = {
+ "avia_hotel": 0.05,
+ }
+ q_high_overrides = {
+ "avia_hotel": 0.9,
+ }
+ iqr_overrides = {
+ "avia_hotel": 1.2,
+ }
+
+ corr_dir = OUT_DIR / "correlations"
+ cats_all = CATEGORIES + list(COMBINED.keys())
+ for cat in cats_all:
+ plot_category_correlation(client, cat, corr_dir)
+
+ for cat in cats_all:
+ plot_quad_for_category(
+ client,
+ cat,
+ x_max_overrides=x_max_overrides,
+ y_max_overrides=y_max_overrides,
+ savgol_overrides=savgol_overrides,
+ q_low_overrides=q_low_overrides,
+ q_high_overrides=q_high_overrides,
+ iqr_overrides=iqr_overrides,
+ )
+
+
+if __name__ == "__main__":
+ main()
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diff --git a/new_plots/orders_amt_avia/scatter_trend_quad.html b/old data/orders_amt_avia/scatter_trend_quad.html
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rename from new_plots/orders_amt_avia/scatter_trend_quad.html
rename to old data/orders_amt_avia/scatter_trend_quad.html
diff --git a/new_plots/orders_amt_avia_hotel/scatter_trend_quad.html b/old data/orders_amt_avia_hotel/scatter_trend_quad.html
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rename from new_plots/orders_amt_avia_hotel/scatter_trend_quad.html
rename to old data/orders_amt_avia_hotel/scatter_trend_quad.html
diff --git a/new_plots/orders_amt_ent/scatter_trend_quad.html b/old data/orders_amt_ent/scatter_trend_quad.html
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rename from new_plots/orders_amt_ent/scatter_trend_quad.html
rename to old data/orders_amt_ent/scatter_trend_quad.html
diff --git a/new_plots/orders_amt_hotel/scatter_trend_quad.html b/old data/orders_amt_hotel/scatter_trend_quad.html
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rename from new_plots/orders_amt_hotel/scatter_trend_quad.html
rename to old data/orders_amt_hotel/scatter_trend_quad.html
diff --git a/new_plots/orders_amt_shopping/scatter_trend_quad.html b/old data/orders_amt_shopping/scatter_trend_quad.html
similarity index 100%
rename from new_plots/orders_amt_shopping/scatter_trend_quad.html
rename to old data/orders_amt_shopping/scatter_trend_quad.html
diff --git a/new_plots/orders_amt_super/scatter_trend_quad.html b/old data/orders_amt_super/scatter_trend_quad.html
similarity index 100%
rename from new_plots/orders_amt_super/scatter_trend_quad.html
rename to old data/orders_amt_super/scatter_trend_quad.html
diff --git a/new_plots/orders_amt_total/scatter_all.html b/old data/orders_amt_total/scatter_all.html
similarity index 100%
rename from new_plots/orders_amt_total/scatter_all.html
rename to old data/orders_amt_total/scatter_all.html
diff --git a/new_plots/orders_amt_total/scatter_clean.html b/old data/orders_amt_total/scatter_clean.html
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rename from new_plots/orders_amt_total/scatter_clean.html
rename to old data/orders_amt_total/scatter_clean.html
diff --git a/new_plots/orders_amt_total/scatter_clean_trend.html b/old data/orders_amt_total/scatter_clean_trend.html
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rename from new_plots/orders_amt_total/scatter_clean_trend.html
rename to old data/orders_amt_total/scatter_clean_trend.html
diff --git a/new_plots/orders_amt_total/scatter_trend_quad.html b/old data/orders_amt_total/scatter_trend_quad.html
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rename from new_plots/orders_amt_total/scatter_trend_quad.html
rename to old data/orders_amt_total/scatter_trend_quad.html
diff --git a/new_plots/orders_amt_transport/scatter_trend_quad.html b/old data/orders_amt_transport/scatter_trend_quad.html
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rename from new_plots/orders_amt_transport/scatter_trend_quad.html
rename to old data/orders_amt_transport/scatter_trend_quad.html
diff --git a/plots-eval/lowess_f25/orders_amt_total/quad_regression.png b/old data/plots-eval/lowess_f25/orders_amt_total/quad_regression.png
similarity index 100%
rename from plots-eval/lowess_f25/orders_amt_total/quad_regression.png
rename to old data/plots-eval/lowess_f25/orders_amt_total/quad_regression.png
diff --git a/plots-eval/lowess_f35/orders_amt_total/quad_regression.png b/old data/plots-eval/lowess_f35/orders_amt_total/quad_regression.png
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rename from plots-eval/lowess_f35/orders_amt_total/quad_regression.png
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diff --git a/plots-eval/lowess_f45/orders_amt_total/quad_regression.png b/old data/plots-eval/lowess_f45/orders_amt_total/quad_regression.png
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rename from plots-eval/lowess_f45/orders_amt_total/quad_regression.png
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diff --git a/plots-eval/rolling_w101/orders_amt_total/quad_regression.png b/old data/plots-eval/rolling_w101/orders_amt_total/quad_regression.png
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rename from plots-eval/rolling_w101/orders_amt_total/quad_regression.png
rename to old data/plots-eval/rolling_w101/orders_amt_total/quad_regression.png
diff --git a/plots-eval/rolling_w151/orders_amt_total/quad_regression.png b/old data/plots-eval/rolling_w151/orders_amt_total/quad_regression.png
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rename from plots-eval/rolling_w151/orders_amt_total/quad_regression.png
rename to old data/plots-eval/rolling_w151/orders_amt_total/quad_regression.png
diff --git a/plots-eval/savgol_w101_p3/orders_amt_total/quad_regression.png b/old data/plots-eval/savgol_w101_p3/orders_amt_total/quad_regression.png
similarity index 100%
rename from plots-eval/savgol_w101_p3/orders_amt_total/quad_regression.png
rename to old data/plots-eval/savgol_w101_p3/orders_amt_total/quad_regression.png
diff --git a/plots-eval/savgol_w151_p3/orders_amt_total/quad_regression.png b/old data/plots-eval/savgol_w151_p3/orders_amt_total/quad_regression.png
similarity index 100%
rename from plots-eval/savgol_w151_p3/orders_amt_total/quad_regression.png
rename to old data/plots-eval/savgol_w151_p3/orders_amt_total/quad_regression.png
diff --git a/plots-eval/savgol_w151_p5/orders_amt_total/quad_regression.png b/old data/plots-eval/savgol_w151_p5/orders_amt_total/quad_regression.png
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rename from plots-eval/savgol_w151_p5/orders_amt_total/quad_regression.png
rename to old data/plots-eval/savgol_w151_p5/orders_amt_total/quad_regression.png
diff --git a/preanalysis_old_bad/01_load_and_clean.ipynb b/old data/preanalysis_old_bad/01_load_and_clean.ipynb
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rename from preanalysis_old_bad/01_load_and_clean.ipynb
rename to old data/preanalysis_old_bad/01_load_and_clean.ipynb
diff --git a/preanalysis_old_bad/02_univariate_bivariate.ipynb b/old data/preanalysis_old_bad/02_univariate_bivariate.ipynb
similarity index 100%
rename from preanalysis_old_bad/02_univariate_bivariate.ipynb
rename to old data/preanalysis_old_bad/02_univariate_bivariate.ipynb
diff --git a/preanalysis_old_bad/03_time_and_lags.ipynb b/old data/preanalysis_old_bad/03_time_and_lags.ipynb
similarity index 100%
rename from preanalysis_old_bad/03_time_and_lags.ipynb
rename to old data/preanalysis_old_bad/03_time_and_lags.ipynb
diff --git a/preanalysis_old_bad/04_clients_segmentation.ipynb b/old data/preanalysis_old_bad/04_clients_segmentation.ipynb
similarity index 100%
rename from preanalysis_old_bad/04_clients_segmentation.ipynb
rename to old data/preanalysis_old_bad/04_clients_segmentation.ipynb
diff --git a/preanalysis_old_bad/05_exploratory_models.ipynb b/old data/preanalysis_old_bad/05_exploratory_models.ipynb
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rename from preanalysis_old_bad/05_exploratory_models.ipynb
rename to old data/preanalysis_old_bad/05_exploratory_models.ipynb
diff --git a/preanalysis_old_bad/eda_report.ipynb b/old data/preanalysis_old_bad/eda_report.ipynb
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rename from preanalysis_old_bad/eda_report.ipynb
rename to old data/preanalysis_old_bad/eda_report.ipynb
diff --git a/preanalysis_old_bad/eda_report.md b/old data/preanalysis_old_bad/eda_report.md
similarity index 100%
rename from preanalysis_old_bad/eda_report.md
rename to old data/preanalysis_old_bad/eda_report.md
diff --git a/preanalysis_old_bad/eda_utils.py b/old data/preanalysis_old_bad/eda_utils.py
similarity index 100%
rename from preanalysis_old_bad/eda_utils.py
rename to old data/preanalysis_old_bad/eda_utils.py
diff --git a/preanalysis_old_bad/task.md b/old data/preanalysis_old_bad/task.md
similarity index 100%
rename from preanalysis_old_bad/task.md
rename to old data/preanalysis_old_bad/task.md
diff --git a/old data/quadreg.py b/old data/quadreg.py
new file mode 100644
index 0000000..e5de69e
--- /dev/null
+++ b/old data/quadreg.py
@@ -0,0 +1,152 @@
+from pathlib import Path
+from typing import Optional, Tuple
+
+import numpy as np
+import statsmodels.api as sm
+from sklearn.metrics import r2_score, roc_auc_score
+
+import best_model_and_plots as bmp
+
+# Константы из scatter-скрипта
+X_COL = bmp.X_COL
+Y_COL = "orders_amt_total"
+X_MAX = bmp.DEFAULT_X_MAX
+Y_MIN = bmp.DEFAULT_Y_MIN
+Y_MAX = bmp.DEFAULT_Y_MAX
+
+
+def fit_quadratic(
+ cleaned: bmp.pd.DataFrame,
+ trend_data: Optional[Tuple[np.ndarray, np.ndarray]],
+ *,
+ x_col: str = X_COL,
+ y_col: str = Y_COL,
+ x_max: float = X_MAX,
+) -> Tuple[Optional[sm.regression.linear_model.RegressionResultsWrapper], dict]:
+ """Фитит y ~ 1 + x + x^2. Если есть тренд, использует его как целевое для r2_trend."""
+ df = cleaned[[x_col, y_col]].dropna()
+ if len(df) < 3:
+ return None, {}
+
+ if trend_data is not None and trend_data[0] is not None:
+ tx, ty = trend_data
+ tx = np.asarray(tx)
+ ty = np.asarray(ty)
+ mask = (tx <= x_max) & ~np.isnan(ty)
+ tx = tx[mask]
+ ty = ty[mask]
+ else:
+ tx = ty = None
+
+ x = df[x_col].to_numpy()
+ y = df[y_col].to_numpy()
+
+ X_design = sm.add_constant(np.column_stack([x, x**2]))
+ model = sm.OLS(y, X_design).fit(cov_type="HC3")
+
+ auc = np.nan
+ binary = (y > 0).astype(int)
+ if len(np.unique(binary)) > 1:
+ auc = roc_auc_score(binary, model.predict(X_design))
+
+ r2_trend = np.nan
+ if tx is not None and len(tx) >= 3:
+ X_trend = sm.add_constant(np.column_stack([tx, tx**2]))
+ y_hat_trend = model.predict(X_trend)
+ if np.nanvar(ty) > 0:
+ r2_trend = r2_score(ty, y_hat_trend)
+
+ metrics = {
+ "auc": auc,
+ "r2_trend": r2_trend,
+ }
+ return model, metrics
+
+
+def plot_overall_quad(
+ x_max: float = X_MAX,
+ y_min: float = Y_MIN,
+ y_max: float = Y_MAX,
+ savgol_window: int = bmp.DEFAULT_SAVGOL_WINDOW,
+) -> None:
+ out_dir = bmp.BASE_OUT_DIR / Y_COL
+
+ res = bmp.plot_clean_trend_scatter(
+ bmp.load_client_level(bmp.DB_PATH),
+ y_col=Y_COL,
+ out_dir=out_dir,
+ x_col=X_COL,
+ x_max=x_max,
+ scatter_color=bmp.DEFAULT_SCATTER_COLOR,
+ point_size=bmp.DEFAULT_POINT_SIZE,
+ alpha=bmp.DEFAULT_TREND_ALPHA,
+ iqr_k=bmp.DEFAULT_IQR_K,
+ q_low=bmp.DEFAULT_Q_LOW,
+ q_high=bmp.DEFAULT_Q_HIGH,
+ alpha_min=bmp.DEFAULT_ALPHA_MIN,
+ alpha_max=bmp.DEFAULT_ALPHA_MAX,
+ bins_x=bmp.DEFAULT_BINS_X,
+ bins_y=bmp.DEFAULT_BINS_Y,
+ y_min=y_min,
+ y_max=y_max,
+ trend_frac=bmp.DEFAULT_TREND_FRAC,
+ trend_color=bmp.DEFAULT_TREND_COLOR,
+ trend_linewidth=bmp.DEFAULT_TREND_LINEWIDTH,
+ trend_method=bmp.DEFAULT_TREND_METHOD,
+ savgol_window=savgol_window,
+ return_components=True,
+ )
+
+ if res is None:
+ print("Нет данных для построения графика")
+ return
+
+ fig, ax, cleaned, trend_data = res
+ model, metrics = fit_quadratic(cleaned, trend_data, x_col=X_COL, y_col=Y_COL, x_max=x_max)
+
+ if model is None:
+ print("Недостаточно точек для квадратичной регрессии")
+ fig.savefig(out_dir / "scatter_trend.png", dpi=150)
+ bmp.plt.close(fig)
+ return
+
+ # Квадратичная линия поверх существующего тренда
+ x_grid = np.linspace(0, x_max, 400)
+ X_grid = sm.add_constant(np.column_stack([x_grid, x_grid**2]))
+ y_grid = model.predict(X_grid)
+ ax.plot(x_grid, y_grid, color="blue", linewidth=2.2, linestyle="--", label="Квадр. регрессия")
+ ax.legend()
+
+ params = model.params
+ pvals = model.pvalues
+ summary_lines = [
+ f"R2_trend={metrics['r2_trend']:.3f}",
+ f"AUC={metrics['auc']:.3f}",
+ f"b1={params[1]:.3f} (p={pvals[1]:.3g})",
+ f"b2={params[2]:.3f} (p={pvals[2]:.3g})",
+ f"n={len(cleaned)}",
+ ]
+ ax.text(
+ 0.02,
+ 0.95,
+ "\n".join(summary_lines),
+ transform=ax.transAxes,
+ ha="left",
+ va="top",
+ fontsize=9,
+ bbox=dict(boxstyle="round,pad=0.2", facecolor="white", alpha=0.65, edgecolor="gray"),
+ )
+
+ quad_path = out_dir / "scatter_trend_quad.png"
+ fig.tight_layout()
+ fig.savefig(quad_path, dpi=150)
+ bmp.plt.close(fig)
+ print(f"Saved {quad_path}")
+
+
+def main() -> None:
+ plot_overall_quad()
+
+
+if __name__ == "__main__":
+ main()
diff --git a/main_hypot/stat_analysis.py b/old data/stat_analysis.py
similarity index 100%
rename from main_hypot/stat_analysis.py
rename to old data/stat_analysis.py
diff --git a/preanalysis/correlation_matrix_avia.html b/preanalysis/correlation_matrix_avia.html
new file mode 100644
index 0000000..226ec6a
--- /dev/null
+++ b/preanalysis/correlation_matrix_avia.html
@@ -0,0 +1,42 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/preanalysis/correlation_matrix_avia_hotels.html b/preanalysis/correlation_matrix_avia_hotels.html
new file mode 100644
index 0000000..9e4f633
--- /dev/null
+++ b/preanalysis/correlation_matrix_avia_hotels.html
@@ -0,0 +1,42 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/preanalysis/correlation_matrix_ent.html b/preanalysis/correlation_matrix_ent.html
new file mode 100644
index 0000000..86e9374
--- /dev/null
+++ b/preanalysis/correlation_matrix_ent.html
@@ -0,0 +1,42 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/preanalysis/correlation_matrix_hotel.html b/preanalysis/correlation_matrix_hotel.html
new file mode 100644
index 0000000..ca0e783
--- /dev/null
+++ b/preanalysis/correlation_matrix_hotel.html
@@ -0,0 +1,42 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/preanalysis/correlation_matrix_shopping.html b/preanalysis/correlation_matrix_shopping.html
new file mode 100644
index 0000000..f90e22e
--- /dev/null
+++ b/preanalysis/correlation_matrix_shopping.html
@@ -0,0 +1,42 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/preanalysis/correlation_matrix_super.html b/preanalysis/correlation_matrix_super.html
new file mode 100644
index 0000000..0459f4f
--- /dev/null
+++ b/preanalysis/correlation_matrix_super.html
@@ -0,0 +1,42 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/preanalysis/correlation_matrix_transport.html b/preanalysis/correlation_matrix_transport.html
new file mode 100644
index 0000000..d7241d0
--- /dev/null
+++ b/preanalysis/correlation_matrix_transport.html
@@ -0,0 +1,42 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/preanalysis/eda_utils.py b/preanalysis/eda_utils.py
index 802a6d8..d6ea49b 100644
--- a/preanalysis/eda_utils.py
+++ b/preanalysis/eda_utils.py
@@ -1,12 +1,14 @@
from __future__ import annotations
+"""Утилиты для предварительного EDA: загрузка CSV, нормализация признаков и агрегации."""
+
from pathlib import Path
from typing import Dict, Iterable, List
import numpy as np
import pandas as pd
-# Paths and column groups
+# Пути и группировки колонок, которые используются во всех агрегациях
DATA_PATH = Path("dataset/ds.csv")
CATEGORIES: List[str] = ["ent", "super", "transport", "shopping", "hotel", "avia"]
@@ -28,7 +30,7 @@ CAT_COLS = ["gender_cd", "device_platform_cd"]
def safe_divide(numerator: pd.Series | float, denominator: pd.Series | float) -> pd.Series:
- """Divide with protection against zero (works for Series and scalars)."""
+ """Деление с защитой от нулей, чтобы не получить inf/NaN."""
if isinstance(denominator, pd.Series):
denom = denominator.replace(0, np.nan)
else:
@@ -37,12 +39,14 @@ def safe_divide(numerator: pd.Series | float, denominator: pd.Series | float) ->
def normalize_gender(series: pd.Series) -> pd.Series:
+ # Приводим строковые значения пола к единому набору кодов
cleaned = series.fillna("UNKNOWN").astype(str).str.strip().str.upper()
mapping = {"M": "M", "MALE": "M", "F": "F", "FEMALE": "F"}
return cleaned.map(mapping).fillna("UNKNOWN")
def normalize_device(series: pd.Series) -> pd.Series:
+ # Схлопываем варианты платформ в читаемые подписи
cleaned = series.fillna("unknown").astype(str).str.strip()
lowered = cleaned.str.lower().str.replace(" ", "").str.replace("_", "")
mapping = {"android": "Android", "ios": "iOS", "ipados": "iPadOS", "ipad": "iPadOS"}
@@ -52,6 +56,7 @@ def normalize_device(series: pd.Series) -> pd.Series:
def add_age_group(df: pd.DataFrame) -> pd.DataFrame:
+ # Делим пользователей по возрастным корзинам для срезов
bins = [0, 25, 35, 45, 55, np.inf]
labels = ["<25", "25-34", "35-44", "45-54", "55+"]
df["age_group"] = pd.cut(df["age"], bins=bins, labels=labels, right=False)
@@ -59,6 +64,7 @@ def add_age_group(df: pd.DataFrame) -> pd.DataFrame:
def add_totals(df: pd.DataFrame) -> pd.DataFrame:
+ # Считаем суммарные показы/клики/заказы и CTR/CR метрики
df["active_imp_total"] = df[ACTIVE_IMP_COLS].sum(axis=1)
df["passive_imp_total"] = df[PASSIVE_IMP_COLS].sum(axis=1)
df["active_click_total"] = df[ACTIVE_CLICK_COLS].sum(axis=1)
@@ -75,6 +81,7 @@ def add_totals(df: pd.DataFrame) -> pd.DataFrame:
def add_flags(df: pd.DataFrame) -> pd.DataFrame:
+ # Создаём бинарные флаги наличия коммуникаций и заказов по клиенту
df["has_active_comm"] = (df[ACTIVE_IMP_COLS + ACTIVE_CLICK_COLS].sum(axis=1) > 0).astype(int)
df["has_passive_comm"] = (df[PASSIVE_IMP_COLS + PASSIVE_CLICK_COLS].sum(axis=1) > 0).astype(int)
df["has_any_order"] = (df[ORDER_COLS].sum(axis=1) > 0).astype(int)
@@ -83,6 +90,7 @@ def add_flags(df: pd.DataFrame) -> pd.DataFrame:
def load_data(path: Path | str = DATA_PATH) -> pd.DataFrame:
+ # Базовая загрузка CSV: приводим даты/категориальные поля и добавляем сводные метрики
df = pd.read_csv(path)
df["business_dt"] = pd.to_datetime(df["business_dt"])
df["gender_cd"] = normalize_gender(df["gender_cd"])
@@ -94,6 +102,7 @@ def load_data(path: Path | str = DATA_PATH) -> pd.DataFrame:
def describe_zero_share(df: pd.DataFrame, cols: Iterable[str]) -> pd.DataFrame:
+ # Формируем компактную статистику по выбранным числовым столбцам
stats = []
for col in cols:
series = df[col]
@@ -117,6 +126,7 @@ def describe_zero_share(df: pd.DataFrame, cols: Iterable[str]) -> pd.DataFrame:
def build_daily(df: pd.DataFrame) -> pd.DataFrame:
+ # Агрегируем метрики по дням, добавляя суммарные показатели и день недели
agg_cols = ACTIVE_IMP_COLS + PASSIVE_IMP_COLS + ACTIVE_CLICK_COLS + PASSIVE_CLICK_COLS + ORDER_COLS
daily = df.groupby("business_dt")[agg_cols].sum().reset_index()
daily = add_totals(daily)
@@ -125,6 +135,7 @@ def build_daily(df: pd.DataFrame) -> pd.DataFrame:
def build_client(df: pd.DataFrame) -> pd.DataFrame:
+ # Строим клиентские агрегаты и метаданные (мода по кат. полям, медиана возраста)
agg_spec: Dict[str, str] = {col: "sum" for col in ACTIVE_IMP_COLS + PASSIVE_IMP_COLS + ACTIVE_CLICK_COLS + PASSIVE_CLICK_COLS + ORDER_COLS}
meta_spec: Dict[str, str | callable] = {
"age": "median",
diff --git a/preanalysis/first_stage.ipynb b/preanalysis/first_stage.ipynb
deleted file mode 100644
index 1bf5fd9..0000000
--- a/preanalysis/first_stage.ipynb
+++ /dev/null
@@ -1,3484 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "id": "9329c5bc",
- "metadata": {},
- "source": [
- "# 01. Загрузка, структура и первичная чистка\n",
- "\n",
- "Цели: понять схему данных, проверить пропуски/аномалии, стандартизировать категориальные признаки и подготовить базовые фичи (totals, CTR/CR, флаги)."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "cbd05b8a-4af7-4063-82a6-bef7252de4fb",
- "metadata": {},
- "source": [
- "# Инициализация"
- ]
- },
- {
- "cell_type": "code",
- "id": "d95e51be",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:20.168481Z",
- "start_time": "2025-12-15T10:38:19.363393Z"
- }
- },
- "source": [
- "\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "import seaborn as sns\n",
- "import math\n",
- "import matplotlib.pyplot as plt\n",
- "from pathlib import Path\n",
- "import altair as alt\n",
- "\n",
- "pd.set_option(\"display.max_columns\", None)\n",
- "pd.options.display.float_format = '{:,.3f}'.format\n",
- "sns.set_theme(style=\"ticks\", palette=\"deep\")\n"
- ],
- "outputs": [],
- "execution_count": 1
- },
- {
- "cell_type": "code",
- "id": "314922b8",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:20.309385Z",
- "start_time": "2025-12-15T10:38:20.179706Z"
- }
- },
- "source": [
- "df = pd.read_csv(\"../dataset/ds.csv\")\n",
- "print(f'Raw shape: {df.shape}')"
- ],
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Raw shape: (118189, 35)\n"
- ]
- }
- ],
- "execution_count": 2
- },
- {
- "cell_type": "code",
- "id": "c7980291",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:20.338141Z",
- "start_time": "2025-12-15T10:38:20.316433Z"
- }
- },
- "source": [
- "import io\n",
- "buf = io.StringIO()\n",
- "df.info(buf=buf)\n",
- "print('Raw info:\\n', buf.getvalue())"
- ],
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Raw info:\n",
- " \n",
- "RangeIndex: 118189 entries, 0 to 118188\n",
- "Data columns (total 35 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 id 118189 non-null int64 \n",
- " 1 business_dt 118189 non-null object \n",
- " 2 active_imp_ent 118189 non-null float64\n",
- " 3 active_click_ent 118189 non-null float64\n",
- " 4 active_imp_super 118189 non-null float64\n",
- " 5 active_click_super 118189 non-null float64\n",
- " 6 active_imp_transport 118189 non-null float64\n",
- " 7 active_click_transport 118189 non-null float64\n",
- " 8 active_imp_shopping 118189 non-null float64\n",
- " 9 active_click_shopping 118189 non-null float64\n",
- " 10 active_imp_hotel 118189 non-null int64 \n",
- " 11 active_click_hotel 118189 non-null int64 \n",
- " 12 active_imp_avia 118189 non-null int64 \n",
- " 13 active_click_avia 118189 non-null int64 \n",
- " 14 passive_imp_ent 118189 non-null float64\n",
- " 15 passive_click_ent 118189 non-null float64\n",
- " 16 passive_imp_super 118189 non-null float64\n",
- " 17 passive_click_super 118189 non-null float64\n",
- " 18 passive_imp_transport 118189 non-null float64\n",
- " 19 passive_click_transport 118189 non-null float64\n",
- " 20 passive_imp_shopping 118189 non-null float64\n",
- " 21 passive_click_shopping 118189 non-null float64\n",
- " 22 passive_imp_hotel 118189 non-null int64 \n",
- " 23 passive_click_hotel 118189 non-null int64 \n",
- " 24 passive_imp_avia 118189 non-null int64 \n",
- " 25 passive_click_avia 118189 non-null int64 \n",
- " 26 orders_amt_ent 118189 non-null int64 \n",
- " 27 orders_amt_super 118189 non-null int64 \n",
- " 28 orders_amt_transport 118189 non-null int64 \n",
- " 29 orders_amt_shopping 118189 non-null int64 \n",
- " 30 orders_amt_hotel 118189 non-null int64 \n",
- " 31 orders_amt_avia 118189 non-null int64 \n",
- " 32 gender_cd 118189 non-null object \n",
- " 33 age 118189 non-null int64 \n",
- " 34 device_platform_cd 118189 non-null object \n",
- "dtypes: float64(16), int64(16), object(3)\n",
- "memory usage: 31.6+ MB\n",
- "\n"
- ]
- }
- ],
- "execution_count": 3
- },
- {
- "cell_type": "code",
- "id": "0d18c485",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:20.356051Z",
- "start_time": "2025-12-15T10:38:20.345658Z"
- }
- },
- "source": [
- "df.head(5)"
- ],
- "outputs": [
- {
- "data": {
- "text/plain": [
- " id business_dt active_imp_ent active_click_ent active_imp_super \\\n",
- "0 7119 2025-04-02 0.000 0.000 3.000 \n",
- "1 1797 2025-08-27 1.000 1.000 0.000 \n",
- "2 8010 2025-07-10 0.000 0.000 1.000 \n",
- "3 2360 2025-08-10 0.000 0.000 0.000 \n",
- "4 3457 2025-05-23 0.000 0.000 1.000 \n",
- "\n",
- " active_click_super active_imp_transport active_click_transport \\\n",
- "0 1.000 1.000 0.000 \n",
- "1 0.000 0.000 0.000 \n",
- "2 1.000 0.000 0.000 \n",
- "3 0.000 0.000 1.000 \n",
- "4 0.000 0.000 0.000 \n",
- "\n",
- " active_imp_shopping active_click_shopping active_imp_hotel \\\n",
- "0 1.000 0.000 0 \n",
- "1 0.000 0.000 0 \n",
- "2 0.000 0.000 0 \n",
- "3 0.000 0.000 0 \n",
- "4 3.000 1.000 0 \n",
- "\n",
- " active_click_hotel active_imp_avia active_click_avia passive_imp_ent \\\n",
- "0 0 0 0 0.000 \n",
- "1 0 3 0 2.000 \n",
- "2 0 0 0 1.000 \n",
- "3 0 0 0 0.000 \n",
- "4 0 0 0 0.000 \n",
- "\n",
- " passive_click_ent passive_imp_super passive_click_super \\\n",
- "0 0.000 0.000 0.000 \n",
- "1 0.000 1.000 0.000 \n",
- "2 0.000 1.000 0.000 \n",
- "3 0.000 0.000 0.000 \n",
- "4 0.000 0.000 0.000 \n",
- "\n",
- " passive_imp_transport passive_click_transport passive_imp_shopping \\\n",
- "0 0.000 0.000 0.000 \n",
- "1 2.000 0.000 1.000 \n",
- "2 1.000 0.000 1.000 \n",
- "3 1.000 0.000 0.000 \n",
- "4 0.000 0.000 0.000 \n",
- "\n",
- " passive_click_shopping passive_imp_hotel passive_click_hotel \\\n",
- "0 0.000 2 0 \n",
- "1 0.000 0 0 \n",
- "2 0.000 0 0 \n",
- "3 0.000 1 0 \n",
- "4 0.000 2 0 \n",
- "\n",
- " passive_imp_avia passive_click_avia orders_amt_ent orders_amt_super \\\n",
- "0 0 0 0 0 \n",
- "1 5 0 0 0 \n",
- "2 1 0 0 0 \n",
- "3 1 0 0 0 \n",
- "4 0 0 0 0 \n",
- "\n",
- " orders_amt_transport orders_amt_shopping orders_amt_hotel \\\n",
- "0 0 0 0 \n",
- "1 0 0 0 \n",
- "2 0 0 0 \n",
- "3 0 0 0 \n",
- "4 0 0 0 \n",
- "\n",
- " orders_amt_avia gender_cd age device_platform_cd \n",
- "0 0 F 40 iOS \n",
- "1 0 M 38 IOS \n",
- "2 0 M 51 Android \n",
- "3 0 M 37 IOS \n",
- "4 0 F 27 iOS "
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\n",
- " \n",
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- "
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- " \n",
- " \n",
- " | \n",
- " missing | \n",
- "
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- " \n",
- " \n",
- " \n",
- " | id | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | business_dt | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_imp_ent | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_click_ent | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_imp_super | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_click_super | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_imp_transport | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_click_transport | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_imp_shopping | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_click_shopping | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_imp_hotel | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_click_hotel | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_imp_avia | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | active_click_avia | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_imp_ent | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_click_ent | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_imp_super | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_click_super | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_imp_transport | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_click_transport | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_imp_shopping | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_click_shopping | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_imp_hotel | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_click_hotel | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_imp_avia | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | passive_click_avia | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | orders_amt_ent | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | orders_amt_super | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | orders_amt_transport | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | orders_amt_shopping | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | orders_amt_hotel | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | orders_amt_avia | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | gender_cd | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | age | \n",
- " 0 | \n",
- "
\n",
- " \n",
- " | device_platform_cd | \n",
- " 0 | \n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " count | \n",
- " mean | \n",
- " std | \n",
- " min | \n",
- " 25% | \n",
- " 50% | \n",
- " 75% | \n",
- " max | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " | id | \n",
- " 118,189.000 | \n",
- " 4,131.899 | \n",
- " 2,408.258 | \n",
- " 1.000 | \n",
- " 2,038.000 | \n",
- " 4,121.000 | \n",
- " 6,219.000 | \n",
- " 8,339.000 | \n",
- "
\n",
- " \n",
- " | active_imp_ent | \n",
- " 118,189.000 | \n",
- " 0.314 | \n",
- " 0.614 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 9.000 | \n",
- "
\n",
- " \n",
- " | active_click_ent | \n",
- " 118,189.000 | \n",
- " 0.240 | \n",
- " 0.483 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 6.000 | \n",
- "
\n",
- " \n",
- " | active_imp_super | \n",
- " 118,189.000 | \n",
- " 0.380 | \n",
- " 0.809 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 11.000 | \n",
- "
\n",
- " \n",
- " | active_click_super | \n",
- " 118,189.000 | \n",
- " 0.276 | \n",
- " 0.542 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 9.000 | \n",
- "
\n",
- " \n",
- " | active_imp_transport | \n",
- " 118,189.000 | \n",
- " 0.574 | \n",
- " 0.944 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 24.000 | \n",
- "
\n",
- " \n",
- " | active_click_transport | \n",
- " 118,189.000 | \n",
- " 0.443 | \n",
- " 0.645 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 11.000 | \n",
- "
\n",
- " \n",
- " | active_imp_shopping | \n",
- " 118,189.000 | \n",
- " 0.255 | \n",
- " 0.565 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 6.000 | \n",
- "
\n",
- " \n",
- " | active_click_shopping | \n",
- " 118,189.000 | \n",
- " 0.199 | \n",
- " 0.450 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 5.000 | \n",
- "
\n",
- " \n",
- " | active_imp_hotel | \n",
- " 118,189.000 | \n",
- " 0.141 | \n",
- " 0.483 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 7.000 | \n",
- "
\n",
- " \n",
- " | active_click_hotel | \n",
- " 118,189.000 | \n",
- " 0.035 | \n",
- " 0.185 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 2.000 | \n",
- "
\n",
- " \n",
- " | active_imp_avia | \n",
- " 118,189.000 | \n",
- " 0.193 | \n",
- " 0.523 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 6.000 | \n",
- "
\n",
- " \n",
- " | active_click_avia | \n",
- " 118,189.000 | \n",
- " 0.054 | \n",
- " 0.227 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 2.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_ent | \n",
- " 118,189.000 | \n",
- " 0.552 | \n",
- " 1.256 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 42.000 | \n",
- "
\n",
- " \n",
- " | passive_click_ent | \n",
- " 118,189.000 | \n",
- " 0.027 | \n",
- " 0.190 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 11.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_super | \n",
- " 118,189.000 | \n",
- " 0.280 | \n",
- " 0.859 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 26.000 | \n",
- "
\n",
- " \n",
- " | passive_click_super | \n",
- " 118,189.000 | \n",
- " 0.009 | \n",
- " 0.118 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 5.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_transport | \n",
- " 118,189.000 | \n",
- " 0.794 | \n",
- " 1.472 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 43.000 | \n",
- "
\n",
- " \n",
- " | passive_click_transport | \n",
- " 118,189.000 | \n",
- " 0.020 | \n",
- " 0.155 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 7.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_shopping | \n",
- " 118,189.000 | \n",
- " 0.689 | \n",
- " 1.768 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 83.000 | \n",
- "
\n",
- " \n",
- " | passive_click_shopping | \n",
- " 118,189.000 | \n",
- " 0.011 | \n",
- " 0.128 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 7.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_hotel | \n",
- " 118,189.000 | \n",
- " 0.987 | \n",
- " 1.811 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 44.000 | \n",
- "
\n",
- " \n",
- " | passive_click_hotel | \n",
- " 118,189.000 | \n",
- " 0.058 | \n",
- " 0.242 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 8.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_avia | \n",
- " 118,189.000 | \n",
- " 0.702 | \n",
- " 1.400 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 52.000 | \n",
- "
\n",
- " \n",
- " | passive_click_avia | \n",
- " 118,189.000 | \n",
- " 0.028 | \n",
- " 0.182 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 8.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_ent | \n",
- " 118,189.000 | \n",
- " 0.010 | \n",
- " 0.115 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 11.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_super | \n",
- " 118,189.000 | \n",
- " 0.022 | \n",
- " 0.155 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 4.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_transport | \n",
- " 118,189.000 | \n",
- " 0.053 | \n",
- " 0.242 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 5.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_shopping | \n",
- " 118,189.000 | \n",
- " 0.008 | \n",
- " 0.114 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 11.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_hotel | \n",
- " 118,189.000 | \n",
- " 0.004 | \n",
- " 0.067 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 3.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_avia | \n",
- " 118,189.000 | \n",
- " 0.009 | \n",
- " 0.109 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 6.000 | \n",
- "
\n",
- " \n",
- " | age | \n",
- " 118,189.000 | \n",
- " 42.360 | \n",
- " 9.930 | \n",
- " 15.000 | \n",
- " 36.000 | \n",
- " 41.000 | \n",
- " 48.000 | \n",
- " 80.000 | \n",
- "
\n",
- " \n",
- "
\n",
- "
"
- ],
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gLIrfAABE/hrt7KE1ulVnl2o866FDh2yUmM761qQWPbx/8cUXbYTJhAkT5Nq1a9a1BgBAXKeXww4cOCBvv/223Lx5U5YsWSLly5e3ePPkyZNbJ/jRo0elZcuWkiVLFhk3bpxcuHBBQkJCZPLkyRS/gShAARxAjL21Pn36dDtM79q1q0Wxff/99zJjxgy5fPmyfP7559ZRNnHiRGnYsKFt8KtXr26fR6cZAADh8/DhQ7vR7r4261qcN29em3W2b98+KVKkiOv1msqind+JEiXiRw8AgIc5o740GU3HlWjkuUa3Tpo0SUaPHi1ffPGFjQ3TIrh2q+k/TXNxYlrd130AAOIi3csOGDDA9r979+6V48ePS9u2bV3FcZ39XaJECZsJrhfIdKSIJqnovjhz5sxR/e0DcRIFcAAxilP81mi2M2fOWIe3/kGh9Lb67NmzbUNfsmRJqVKlisWuaiSN+4E7nWYAADwb5wDcOQTXC2baOaaH4xoDpwcAukbr/DMdO5IjRw7b9Gtiix6m60xRAADgeffv35c9e/bYWq3Fbz28X7lypbRu3VoWLlxoF8u16K1FcGff7cz8pvgNAIBY+qiujb1797bz5dKlS1tBfMuWLVKhQgXr/la693333Xf5kQFR7I+/aAEghtDNt96wa9y4sXWAa4HbodFs77//vhW7dV6Zbtp13rfOI9UNux7aAwCAZ9O5c2dp3ry5Jak4Eaq6xuoYEk1kadKkiRw7dkz69etnsap6oK4z0DQS7urVq9ZlpmuzHhAAAADP0vX74MGDtofWzjSdRVq5cmVbr2vXri1r16619DQtkj+uexwAgLjOWRO9vb0lKCjIZoB/8MEHcvbsWWnWrJk9z34XiD4ogAOIEUVv563+IaHdY/7+/nbTTjfnFy9eDBWxqofuuqFX7jfVubUOAMCzr8WVKlWyWaFdunSx2Wa6BmvhWyPPtYPs+vXr1j2mF8602K1Rqlo0b9euncyfP1+8vLzs8N3pKgMAAJ6TOHFi8fHxkVdffdW6v3XPXKZMGUtqSZIkiVStWlWKFStm3W0AAODJqlWrZk1YmoaWLVs2S1LRc2rdC7PfBaKPeI+cyhIARPOZ31ro1gK4dngnS5bMZn63atXKOs60Iy19+vQ2c0U/1tgZjUcHAAARtybr2qtF7UyZMknKlCll/PjxkiJFCnv+1KlTth7rGq3zRDX+3B3zQwEAiFr37t2zgreOLdGLa1OmTLFLbprWonvopk2b2utYswEAeLrxInrRW+llb8ZuAtELBXAAMcLYsWMtkk0jVPXmeqdOneyG+qZNm2y+SqFChawz/ObNm3L+/HnrNNONPQAAiPgiuM731ktnK1assEK4k9KiRXC9nKbPBQQESNasWfnxAwAQzYwZM0bWr18v5cuXlx9//NGK4fPmzePgHgCAZ+DshwFEL+QPAoiW3MMpNEZG531rV1mHDh0skk3f6m11vaWuMas6y2znzp22gV+6dKkVv/UWHgAAiDiaylKuXDnp1auX3L17V3r37m3rrW72de3W+LeJEydahKp2iQMAAM/4JwGPuo/WNVv30MmTJ7d54E50KwAA+GcofgPREx3gAKK1devWycaNGyVv3rzy4Ycfuh4fMWKETJ061Tq9X3zxRVcneM2aNa07PEOGDFH6fQMAENs7wXV91nngZcuWtXnfGv0W9uY7EaoAAESuEydOuMaO6KU0LWQ/zUF8SEiIvVbXb3090a0AAACITegABxBtHTp0SL766isrcj///POumWVK548WKVJEZs6caYfreoNdO85WrlwpAwYMkNOnT0fxdw8AQOzuBK9YsaIMHz5ctm7dKl27drU1OuyBu7N+AwCAyBEYGChz5syx951UlqehqWn6z3k93WsAAACITSiAA4i2kW25c+eWBg0a2PzQ5cuX2zxR3aDrzXTtPEuTJo0kTJjQDtf1c1977TUZNWqUBAUFMbsMAIAIWo//rgiuqSx6AU0vrQEAAM+5ceOGXLhwQWbNmiX169eXRo0a2eN/F2Wua712f6sdO3bYWy6tAQAAIDahAA4gWtCCtnPjXKPYdBOvxe169epJx44drfjds2fPUBv13377TdKlS2fv6+P6NSpXriwbNmwgAh0AgGeIUFW6HmsH2dMUwrUIriks2n3Wtm1bfuYAAHiQzu/WFBbdCx88eFDKly/vKmbrY4/jPq5EO8ebNm1q6WsAAABAbPJHFQkAopBuwPUAXU2aNEm2bdsm+/fvt4jzN954Qxo3bmyb9wkTJsjbb78tBQoUsBvtWiT/5JNP7POcz1eJEyeOsv8WAABiKi1i58qVy9JXtACuM0Gfhq7BxYsXd33M3G8AACKXU8TWt9evX7dCeJkyZWTTpk2SKVMm20Pr+qz7aPe9ctjit6+vr4wcOVIKFizIrwwAAACxSrxHT5txCACRbOzYsRbdpkVt7fLevHmz/Pjjjxbl9umnn8p//vMfGTdunFy7ds1uudeqVcs+j4N2AADCH6Hap08fOXr0qF0k03neS5Ys+ds11v1gXSNUS5Ysya8CAIBI5L726nqtY8LU8ePHbU995MgRadiwoSsO/UnFbx1hMnjwYKlatSq/LwAAAMQ6RKADiBZ++eUXWb9+vYwePdoi2N5//33x8fGR2rVry6JFi2Tjxo22MW/RooXdaF+2bNkTI90AAIBnIlSdA3giVAEA8Axn7f3666/tonjLli3l119/lZw5c8rHH38s+fPnl7lz59rarE6fPm1vKX4DAAAgLqEADiBa0BnfFy9elFSpUtnHetieIUMGK4RrBOvWrVutK/ydd96RDz74QC5fvmyd4fp5f9WZBgAAnswJg3pchKqmsignQjXs5xGhCgBA1NDRYd98843tn0+ePGnjS3SOtxa/tQieN29ee03RokUt4cVZ7+fNm0fnNwAAAOIEZoAD8Liwc8jUgwcPrKh9/vx5mz+mkau6SX/hhRdsHumtW7fsdRrvVqNGDbl7965Fs165ckUyZ87MbxEAgHCsxzrz29vb27rFnAhVfV+L3Bqh+lfzQ4lQBQDAs3toHV2i6WnlypWTM2fOSI8ePSwtTYviup9u06aNbN++3YrjnTp1snV76dKlVgzXNb5y5cr8ygAAABCrMQMcgEdp4TphwoSu2HPdiGfMmNHmjbZv39426XpTvUiRIvaa27dvWyS6xp83a9bMtfHXg3rt/tZONQAA8Ow0QlXnd2thu2/fvpI1a1abH6rrsc4E1zmi2lmmEapZsmRxfR7FbwAAIp/7xbMFCxbY2rxmzRrp2bOnvPHGG/b4qVOnpHfv3vacv7+/FcHD0kJ5cHCwVKxYkV8bAAAAYj0K4AA8YuLEiVbA1g5upbfVFy5caJt5PUyfMmWKXL161W6uHzhwQFq1amXR5v/73/8sGn3x4sUWgR72AAAAADw7LXJPnjxZXnvtNdm7d68lrjgH504RfNeuXZa4UrJkSess0zVYI1SHDRsmgwcPtktqAAAg4rnvfX19fWXmzJmSL18+2b9/vyW06L5ZL5Q7RXAfHx/ZvHmzrFq1SnLkyOH6OpqwxugwAAAAxCUUwAFEui1btkiHDh2kePHiVghfuXKl9O/f3zbnZ8+eteK2doYvWrTIOr61E+3bb7+V7NmzW3F80KBBNgecTTsAABEboaqH6Trz2z1CVbvDnAjVn3/+OVSEqq7HGqHatWtXIlQBAPCQffv2ydSpU+Wjjz6ytDQ/Pz+ZP3++1KtXz1JanCK4jjGZNWuWdOvWjYI3AAAA4jQK4AAinUaVL1++3DbsOq9bZ3rroXqdOnXseY1d7devn9y7d88i3TTW/NKlS5IuXbpQM8KdDnAAAPDPEaEKAEDMs2HDBhk1apQVtKdNmyapUqWyx/UxvUSuRXAdV5IhQ4ZQn8cFcgAAAMRl/9f+AQCR1GmWKFEiqVmzpjRp0sQiVPVGuj7m0M5wnTmqj9WuXdte41781gN7it8AAERchOrAgQNl586dNtf7hx9+kHPnztlz2bJlkwEDBoi3t7etySdOnPjTYbpeZmN+KAAAkbdmh91TZ8qUSQ4fPhxqXdZklrp168qSJUtsfInuo90ReQ4AAIC4jAI4gEiPWdUNvM7+1iK4zinT4rYWwe/fv//H/xE995yUKFHCiuAaha7R6O6Y9w0AQPg4a6lGqGrRe8aMGRad2rp1a1m9erXMmTMnVBG8d+/e8sEHH0jWrFlDfR0O0wEAiNw9tLNm37p1y95WqlRJ2rRpIyVLlrTRYnv27HG9vmPHjva8ru2pU6fmVwMAAAD8f0SgA4j0GaNHjx6VkJAQO0RPkSKF64Z6zpw5Zdy4cTZPVGmh/MiRI5I3b14O2AEAiGBEqAIAEDP20HphfOvWrZIsWTJp0aKF7ZF37dol48ePl5MnT8qIESOkWLFif0p6cU98AQAAAOIyOsABRDjddDsb99GjR0v79u2t83vt2rUWZV6jRg1p2bKlHD9+XNq1a+fqBNeNukauaneZRqwCAIDwrcfuiFAFACD6cvbQw4YNk5EjR0rChAll48aN0rlzZwkKCrLRYW3btpUcOXJI165d7TEHxW8AAAAgNDrAAUSasWPHysyZM+XLL7+0zu+MGTPaJv727dvywgsvyNKlS2XixIn2XGBgIF3fAABEQheZRqgmTZrU3tfYVD1U//XXX+2Smnv3mM7+PnPmjEyYMIHuMQAAosC8efNsH62JaQUKFJDvvvvOYs8LFSokvXr1siL47t27bc3WkSV+fn78ngAAAIDHoAAOIFKcP39eunTpIp988omUKVNGfv75Z+sAX7hwoR3I16lTR1q1aiUBAQF2GK8Rbs5BPQAAeHZEqAIAEDNpYVsT0Xr06GGR50OGDJH33ntPpk2bZpfJ9fESJUrIiRMnrBOcPTQAAADweFSbAEQK7TS7ePGizRtdtmyZFcLXr18vZcuWlVKlStljN2/elPr164uvr69t3PXAHgAAhA8RqgAAxDwPHjyQn376yQrgmt6ie+bSpUvbnlm7wA8dOmRd4HqpPFeuXOyhAQAAgL9AARxApEiQIIFUr15d1q1bZ7fUq1SpIj179hQfHx+pUKGCJEuWzOZ86y12Z14Zt9cBAIi4CNUVK1bYiBGNPO/bt68dnGsnmXaUOXNE9cKajitxp+syAADwrPjx41sHuO6ddc0+cuSIlCtXzp7Ty+N6mbxWrVqWpuZgDw0AAAA8HhHoACLNb7/9Jnfu3LGDdJ35re7duyeffvqpFb7HjBnDITsAAJGACFUAAGKuYcOGSVBQkCxYsMCS0tq0aSPe3t7SsWNHe14vk2unOAAAAIDHi/+ExwEg3JInTy4pUqSQkydPyqBBg+TXX3+1m+vXrl2TRYsWWfHbfU4pAACIuAjVIkWK/ClCNVWqVPLZZ59ZhGqLFi1srqhiPQYAIPooXLiwBAQEWPT5uXPnJCQkRMaNG2fPaXoaxW8AAADgr1F1AvBMdNP9d5wIVe32Tp8+vSROnNjmfy9evFi8vLzsgJ7iNwAAEYsIVQAAYrZixYpJu3btLFEtf/78doFc13fdQzOqBAAAAPh7RKAD+EdOnDghOXLksPfv379vm/Cn2YBrwdz9dUS2AQAQ+YhQBQAgdtDit+6/AQAAAPw9OsAB/COBgYEyZ84cVwH8aW+fa8H7aTvHAQBAxEWoahy6Rqg2atRIzpw5Yx1lzppMhCoAAJHrWffAWvB2R/EbAAAAeHoUwAE8tRs3bsiFCxdk1qxZNkdUD9Ldi9t/teF3Nus7d+60txy4AwAQ+YhQBQAg6vz++++uS+P37t176mK4+x568+bNcuXKlUj9PgEAAIDYhgh0AP/IuXPnpHnz5haF3rRpU/niiy9cG/vHzfN2jz7XzvGBAwfK/PnzpWDBgvzkAQCIAkSoAgAQ+dz3yNOmTbNCtq7BPXr0kHz58j3x88LuoX18fGTu3LlStGhRfm0AAADAU6IDHMDfcm6p69vr169L8uTJpUyZMrJp0ybrBrf/M3nuOdvg/9XG3dfXV0aOHEnxGwCAZ0CEKgAAMYdT/B4+fLhMnDhRihcvLiVKlJBMmTKFWtfdE9XC7qF1/+zn50fxGwAAAPiH6AAH8NS31jWyLUGCBPb+8ePHZezYsXLkyBFp2LChKw79SRv3ESNGyODBg6Vq1ar8xAEACOd67OXl5Vpn/4r7eqydZ5rAkiZNGn7+AABEEve1d+vWrdKvXz8ZNWqUFCpUyEaK7d+/X9atWyepUqWSdu3aSeLEif/0eeyhAQAAgPD5Y6AQADyBc9j+9ddfy44dO2xT3rdvX8mZM6d8/PHHMmnSJItj09c1aNBATp8+LVmyZGHjDgBANI1QpQAOAEDkeNxoMP04T5488sMPP4i/v7+cOXNGEiVKJCEhITbnu1OnTtYF/vzzz7vWbC6QAwAAAOFDBDqAv6VF7m+++cZuqJ88edIK3YcOHZL8+fNbETxv3rz2Gp1J1qdPH1eU27x589i4AwAQ3j/YiVAFACBGFb91/NeQIUMkadKkdmmtRo0a0qJFC8mYMaN069ZNli9fbkVxfU45xe/AwED20AAAAEAEoAMcwN/eWr9x44aMHj1aypUrZ7fVteNMN+9aFNco1TZt2sj27dutOK6317XbbOnSpVYM15j0ypUr81MGACCcEarr16+XKVOmuCJUt23bRoQqAADRhLOH1vV548aNVsjOnj27RaDv3btXihUrJqVLl3at7bdv35YkSZK4Pl87xMeNGyeDBg1idBgAAAAQTswAB/DEw/YFCxbI0aNHZc2aNdKzZ09544037PFTp05J79697TmNcNMieFhaKA8ODpaKFSvyEwYAIJyX0bQAPmDAAFm8eLEEBQX9KUK1evXqRKgCABDFtLN75MiRUqRIEXvr5eXlek4vr+ns76xZs9pIE/1Y13WNQVdnz56V8+fPW6EcAAAAQPjQAQ7gscVvjWybOXOmzRbVud56G107zjSyLVu2bHYIr7NEa9euLatWrZIcOXK4vo7OL8ucObP9AwAA4YtQvX//vhW4nQhVvYhWs2ZN+fDDD6VSpUrSqlWrx0ao6sH74MGD6SIDAMADdC3W9TtZsmSyZ88e6/DWAvi9e/fs8V27dtn6rHRPvWjRIit+6+fp+p0pUyb7BwAAACD8KIADcHGK3/v27bOi94wZM+zmup+fn8yfP19SpEhh87+dIrh2gc+aNctusLtzDt8BAMA/R4QqAAAxL61Fi9lVqlSxud+9evWSjz/+WGbPni0JEiSw5zVR7eWXX7b306dPb/tvLX47HeAAAAAAIg4R6ABC2bBhg4waNcqK2BrLlipVKntcH9Mb6vXq1ZOGDRtKhgwZQn2edn1T+AYAIGIQoQoAQMwofm/ZssXiy+/evWvjwbTIrTPAe/ToIblz55aAgIDH7pnDFtABAAAARByumQJxnHvsubMJ19i1TZs2yYkTJ1wF8E6dOtnrlixZIjdv3pQ2bdpImjRpXJ9H8RsAgIhBhCoAANGb+6iSlStXSpYsWeTOnTsydOhQ6dq1qzRu3NjGhvXp08dGlmi6Wtg9M8VvAAAAIPJQAAfiMPcb57du3bKoNp0lmjZtWptX1qFDBxk9erQUK1bMXtOxY0crfms8eurUqaP4uwcAIHYgQhUAgJjBPbJ84cKFdkFcR4aVKFHC4s4HDRpkaWlXrlyxyHO9RN66dWvp37+/FcMBAAAAeAYR6EAc5X7YrnO8t27dKsmSJZMWLVpI3rx5ZdeuXTJ+/Hg5efKkjBgxwlUEd+8aD9s9DgAAnn09JkIVAIDoSUeCaSqaunfvns31HjhwoBXEfXx8ZPXq1dKtWzfp3r27RaD7+/tL+/btJV26dLJv3z57jNQ0AAAAwHMYNgTEUc5h+7Bhw2TkyJGSMGFCm1PWuXNnCQoKkuLFi0vbtm0lR44cFuGmjzkofgMAEPERqr169bJOssWLF0uTJk3sglrFihUtQvXYsWMWoaqIUAUAwHMOHDggkydPloYNG9rHWvzWed6XL1+WzJkz22Vy3TN36dJF3nvvPbl69aosX77cLpPra0uWLGlrt34OAAAAAM+gAA7EYfPmzZMVK1ZIYGCgFcH79u0rhw4dkiFDhlgHuFME12j0mTNnhvpcOr8BAHh22jHmcCJUNXElICBA6tSpY53h7hGqWgTfvn27RagCAADPyZcvn0yYMEHOnj1rBW6lBe38+fNbZ3jLli1tfW7QoIE9lzx5csmTJ4+kTJky1NehAxwAAADwHArgQBx2+PBhefvtt6VAgQJW8NZb7bpxv3Pnjh20a9d30aJFrTius8ABAED46EG50vmhGqGq9PLZm2++afNDNUJVC+F6KS1nzpyW1HLmzBkpV66cXUbr2bMnvwIAADx4YU3T0jSRRePNtau7efPm9pzO9tb9tBa2s2TJIufPn5cLFy7Y/lmL397e3vyeAAAAgChCARyIwxv5n376yTbrt27dkmXLlknp0qWlfv360qFDBzuM1yhW7UrLlSuXRbRqNxoAAHg2RKgCABBzPHr0yC6sqfHjx8v8+fMt0nzz5s2uOPQvvvhCXnnlFRtTot3hWhy/du2aTJ06lT00AAAAEIX++EseQJyjG3nt8r5+/boVu48cOSLt2rWz527evClly5aVUqVKWQxr2DmlAADg2SNUtbtbD8n1IN09QlXXZh1D8s4779jriVAFACDqOGO/ZsyYIdOmTZMxY8ZYZ3dwcLD4+flZ5PmcOXNk0qRJ8t1331mSWooUKaxbXNd3vXTuFNABAAAAeFa8R3qlFUCcpvGqGne+YMEC6/Ju06aNxbV17NjRnn/48CHzygAACAf3Q/BVq1ZJnz59pHDhwjZ+ROmau379eusY0xhVPXTXuPPbt2/bwTuX0AAA8AzdE7uvu126dJGMGTNKp06dXPvj/fv3S/v27SV79uwSEBDwp6/BHhoAAACIWlxFBWAH8Lpp1+jzc+fOSUhIiIwbN85+MnpHRm+vAwCAiIlQ3b17d6gI1dmzZ1uEqq6/GqGaJk0a6zBLlCiRBAYGuiJUKYIDABD5a7az3u7Zs0defPFFuXjxoly9etX1Gt0fFytWTOrWrWvJLtWqVZOVK1eG+jrsoQEAAICoRQc4ADl9+rSsWLHCDuTTp09vXWl6UE9kGwAAEUc7uceOHfunCFVdezVCVRGhCgBA1BW/ndhzXav/+9//iq+vr2zcuFEWL14sn376qVSpUsX1en1MC9+pU6e2ESYUvQEAAIDogwI4gMei+A0AQPgQoQoAQMyzdu1aS2dp2bKlvPLKK3Lq1ClLS0uSJInUqVNH3n33XesI79Gjh+TMmdPeKmLPAQAAgOjj/4YaAYg1t9afteDtzolqBQAA4Y9QvX//vkWoHjp06LERqkFBQRahGhbdZAAAeM7OnTstneXgwYPywgsv2GPZsmWToUOH2rquSS5lypSRZs2ayfnz56Vz5872GkaHAQAAANELBXAglnWaOZFt9+7de+piuPtsUp1HeuXKlUj9PgEAiEsRqv3797fusVdffdUOy1evXh3q9XqwXqFCBSlcuLB1jwEAAM/tod1lz55dqlatavvpr776yvV4vnz5ZNSoUVYc//zzz+3fokWLxMvLyy6TO+s+AAAAgOiBCHQgFsasTps2zQrZuhHXODbdrD/NIb3OH/Xx8ZG5c+dK0aJFPfa9AwAQGxGhCgBAzNhD6+W0kydP2kW0tGnTyrlz52Tp0qVSvnx56du37xO/BrHnAAAAQPREARyIZYYPH2430Zs0aWKb8aZNm0qyZMlchW73DXrY4vfIkSNl4MCBduMdAACEL0JVL5VdunRJZs6cKXny5LHHg4ODba3VjvCbN29KxowZbS1esGCBdZG5r80AAMAze+jFixfbxfGff/5ZUqZMKRkyZJASJUrIypUrpWzZstKrVy97LQVvAAAAIGagAA7EcO4H5Vu3bpV+/fpZNFuhQoXkwoULsn//flm3bp2kSpVK2rVrJ4kTJ35s8XvEiBEyePBgit8AAISzi0z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- },
- "metadata": {},
- "output_type": "display_data",
- "jetTransient": {
- "display_id": null
- }
- }
- ],
- "execution_count": 11
- },
- {
- "cell_type": "markdown",
- "id": "33d8e762-c154-4ece-9558-e63a99b8dafa",
- "metadata": {},
- "source": [
- "смотря на эти графики хочется плакать, но ничего, попробуем посчитать сколько конкретно у нас ненулевых значений (т.е. заказов)"
- ]
- },
- {
- "cell_type": "code",
- "id": "43834078-3bb1-48a6-8fc8-8a0a01b41f75",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:23.427310Z",
- "start_time": "2025-12-15T10:38:23.137241Z"
- }
- },
- "source": [
- "\n",
- "fieldsToCount = [\"orders_amt_ent\", \"orders_amt_super\", \"orders_amt_transport\", \"orders_amt_shopping\", \"orders_amt_hotel\", \"orders_amt_avia\"]\n",
- "\n",
- "def countsOfOrdersByCategories():\n",
- " rowsWithOrdersCount = {}\n",
- " for field in fieldsToCount:\n",
- " rowsWithOrdersCount.update({field: df[[\"id\", field]].groupby(field).count() })\n",
- " \n",
- " fig, axes = plt.subplots(2, 3, figsize=(18, 10))\n",
- " fig.suptitle('Распределение количества заказов по категориям', fontsize=16, y=1.02)\n",
- " \n",
- " axes = axes.flatten()\n",
- " \n",
- " colors = plt.cm.Set3(np.linspace(0, 1, len(fieldsToCount)))\n",
- " \n",
- " for idx, (field, data) in enumerate(rowsWithOrdersCount.items()):\n",
- " ax = axes[idx]\n",
- " \n",
- " # Подготовка данных\n",
- " plot_data = data.reset_index()\n",
- " plot_data.columns = ['Количество заказов', 'Количество клиентов']\n",
- " \n",
- " # Создание столбчатой диаграммы\n",
- " x_pos = np.arange(len(plot_data))\n",
- " bars = ax.bar(x_pos, \n",
- " plot_data['Количество клиентов'], \n",
- " color=colors[idx],\n",
- " edgecolor='black',\n",
- " linewidth=0.5)\n",
- " \n",
- " # Настройка осей\n",
- " ax.set_title(field.replace('orders_amt_', '').upper(), fontsize=12, fontweight='bold')\n",
- " ax.set_xlabel('Количество заказов', fontsize=10)\n",
- " ax.set_ylabel('Количество клиентов', fontsize=10)\n",
- " ax.set_xticks(x_pos)\n",
- " ax.set_xticklabels(plot_data['Количество заказов'].astype(str))\n",
- " \n",
- " # Сетка\n",
- " ax.grid(True, alpha=0.3, linestyle='--', which='both')\n",
- " \n",
- " # Добавление значений над столбцами\n",
- " for bar in bars:\n",
- " height = bar.get_height()\n",
- " ax.text(bar.get_x() + bar.get_width()/2., height + 0.1,\n",
- " f'{int(height)}', ha='center', va='bottom', fontsize=9)\n",
- " \n",
- " plt.tight_layout()\n",
- " plt.show()\n",
- "\n",
- "countsOfOrdersByCategories()"
- ],
- "outputs": [
- {
- "data": {
- "text/plain": [
- ""
- ],
- "image/png": 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khpL8npIqes9qA/x7LySRq/NNn6uSaSpDCVklir/88ku3VKTqjU9wqR0Knucq/1//+pf9/ve/z+5BFvU3dd9tt93m2igl8cNLxCrZr8RQcNlGXdig+qU9zsLlFnLMSoj9/e9/d5/pD37wgxbHpMSMEjTBOpCPXzo2mLSqFF+3tJ9kpc4jfR5qfxR3XSgS3ltQn+P111/frB3W3q46r3Txgq97xbRfeq7axlztu5YNVkI6+Lx8tCeh6rLO8eDFIJ7aOi07GhUbnSNaRjbM14V8SV0liLWcqNpRXagQ5s+JUpK9+vuqr1rm1FPCT/U9KpkIAACA2sAefAAAADVK+89pH6RiKOmipJwGKZXU8TNWfAJPg96e39dnnXXWsbak2TBR9Hc1EKoknd6rBm0lPOMrzD9PlCAM7kNYyOuUyAoPakc9V/uXFeujjz5yt/rc8v0NzRTRwG0wCaX9wPRTLM2g0n5imqmkJK/2PGzr963PTclKJVI0eyg8c8snXvW5RvGzCCu5t1RrcVDSTTOSNDNLe2EF9/Xy9Sjqs1SiWz+5aB+24Htuq/NJM241q8ontbQHnxKKmpWnWb1BSvzdd9997jl6b37WYlQivxBKBM2ePdv9rpmMV155ZbOkp/ZZvP/++11cNatTMfGJvai2xxs9erS71ecVlTARHb9m+ioppfer86a1cvMds9pExUN7s+W6MCBf/dRegfrben9qb5VsVAIyXN8qodDzSMdRKF0Eoh/NXNSec1F0YYhm4Wp27ttvv+3ioDgH60+uuEdRgtXviRmVkMvVvrcWl3ztfq7PUIneKH5Gny87iuqQYqPPOmomsBKu1113nZvlp7ZWFwGonrW236WoPdKsb51DuuhGtBeuZqcr+ackOgAAAGoPCT4AAABkZ5toGUDN/NPsuC233NLN5tt4443dYOf+++/fLFKayVINuQY3/QCxlhAVPyNEM0jyDYgGZ8polpAEl2jLxZev5dD87Ktc/GyvYvmkhpJMinsxtHxjOAGnz9LPEMrlmmuuccu5KrkVtSxcW7xv1S8tqaqlE7V0oBIwwZmjrQ3++ziFZ2yVo7U4aEalZrYpqXHMMce4GUOKybvvvuuSGLmOUbMxcyWpxSc9KjkjM4pmLEXNPtTfVdJByWIdsz6Pp556yiW1NtlkE5foUn3UrCUlKv0srGIo4aDEiE8qKsGhJIYSpkqIKEGnpRCVMFMiddddd3V1WcmcESNGZJOlYRMnTnQJMi23qGRNeCboww8/7BJqaqt0jmupwm9961suOaU6ps+x2GMuJDHlP8uo+qljClMbVkySrVCFnkfB5WNbc/jhh7s2VHHVrEl9BsH2Vm3qIYcc4pZUVXJKn6dmkOnz1Ow7n3wqRjCeuWb1tpaACyrnM/TfN7nKzLW0pi4MmDZtmpuBq3Mpanan6uYll1xi55xzjotvMdSmKta6OESfqxKiOo+1fGh4qVQAAADUDhJ8AAAAyO5tpITQueee6/bQC4paerG15cSee+45N2itQfrgfmLFUvn+bwX5QX8/40nP0XKd2mewkEFe0VJ7el0hM/h88kqzzrSMYbEKmf3k/4aSe8X+De17ddJJJzW7T0mTfAk+zZZSck2D5n4/tkq/71x69+5tv/rVr9yMSyXONPjtB8/1mShxps9TezyG+Rlz2o8xrJRZZoXEQXReKBGmZRtfe+01tzSgZkcpoaGEZVTcNFMx/LlE8c/3M/rCdC7ps1RyRXv4FUuJBf/5KeGlBIySmlqWVOe8lg584IEHXFJAyRi9x/B56/esLJZ///q7ShBpGUEtv6m4KaGqeqrj096DqmfhmZW5KOmqfSm1RKfem5ZD9cubarlCvS+1bUpCBWdcivYmK+WYf/7zn7uEmGYCKh5Rs/jy1U8lepQEUhJG7a3KVf3X39PnG57NWg7fbvpljIs5zlx0jiphp9mNqiOagRtMrCoBrro1atQot69iMCHmZ08WS4l0xVyfhRJg5Sb2W4tLMDbhzyPX953/PgruzRek5Yg1m077ceajhPrWW2/t6pzaQLV/SrBrxp9m5+WjmXo6D/S9puNRko/lOQEAAGobe/ABAADAJQ80oNmjR48WyT3x+1X5GR/i9yHSPj9RNHCvJQH9Mp+l8vuEBb388stu6TQlO3xiRIP7uZ4vGkTXUoQ+4aVBaCUG8iV0gjSLUYlADfD6pfuCNJj64x//2MXPz5QKxivXzI8g/x40K8kvSRf0j3/8w+3vpb3FilniLhcNlivZkG+2SCnvu5hZh8OGDbNZs2bZ1KlTW8Thsccei3zdH//4xxbL9flYFxLnUuLg/ehHP7J7773X1R3NwtHvZ511Vovn+fegZQqD9SCYYFJZ559/vvu3EoVKqKleKx5Rz1fCKmoGWLH0XvW3/JKdzz77bHYZT9F5Ek7uKWHmH496P0GqKyrbv7fg3915553d737Woy9TCaFwck8x9knFXH9TCd3TTjvNPa4lCoMzyXTMqmPh5F6wTfPnUaHHrESTZjfr70UlCZWE8omYqP3iPM16U3JQ57OSwNqnTsuIVpKvg48++mjB51GhNNtbiTclhtWWBttm/3j4XPT1rJA6FKSEnpb+1Wt0PoXpM9QelT/72c/s1VdfbbU8tWc63zRjN2r/QS1H7I/VxzB4MUDUkry+LkTNctbemUq6HXXUUZEXqwQp6av2Xcm9Aw880J3vV111lZ155pmtvi+/D6CORa/T5+P3EgQAAEBtIsEHAAAA6969uxu41myZmTNnNovI448/7vYF8nt3edq7S8sqKhmhQd5gwkmzoTQ4r8H1YpeaDJs8eXI2CSBKgPj9qrR8n6cBXg0o//rXv3azB4O0r6AGPDXo72c/KaGkZdgOOOCAgo9FM45ECYUPPvgge7/iosSAlvPTAK3fv8knJzTTqxBaRlDLE2oWl2ZUBmdMaRBd92m2k2YtlrofmqelETWIrZkiufboKvV9F0OD3qp7qmNKyIg+E83O0j5w+gnSTD/NNNPjwf0W/WsLjXUpcSiGkjuq+5qxdfnllzc7d/QZakaP9rnUTEZPS1WK6ncwMa6Egl8KUTPdKsXPzPWJNb+no5L2wSV4lQjRDDPd+j3z8lE5SsRoH7Y//OEP2fv1Op+09XXF/83wTNM333yz2WynfH9TFxsosaLkjk9m+XKVKFGcPbVTag/uvvvuZuUWc8z+fNDnqs/X0yyrCy64wJ0juvhAM7Fao8SejlHCCc5yKYGshJKSWNdff32zNlqf8aRJk1ybqURSsZSc1Mw9nfeqm16uz1MXLQQTsMHzoRC+rVcZwRnlSvopAab3qAsMgksw5+M/Q51rwYSd2hHVO7W9Wt4y3CYohkroB9tmJXQ1u1MJtZ/85Cct/pbaMC3T6/9mPprFqu9ULe2r9r4Y+hua8af6q5mhmpFczPKrAAAASB6W6AQAAIBLimj2g/bYOvjgg92sBc3mU0JMg89+toNmNmhAWs9XsuHKK690A69a6k8JNCX0NLitAUrt+6NZfOXyswo1y0RJneeff94Nwmops2CCR/tqaeBViRMdk/YP04C8jl/vQwPZV1xxhVtyTTN1tFeRBj+V6AvOHvN8MuOyyy5zs/+UzFRslLjUAKqWPtMgrAZ1lVhQokhL3SkmWh5Nt36WUnB/udZoAFsJoEceecQlnvQ3lMxT4lWD6UpmFLLkY2s0UK3PVTOnWlPo+y6FZtMooaf9zbTc37HHHutmjynuWuJPSzBqjzUlwvRZahahlrpTckXHr6TM/fffn01Mazm7topDMfSZqf5rUF/vS5/npptu6s4fHauSQRqA90k9OfTQQ10iRMkXzcZRnVciRM/X67RnoV+CslhKkvsZe3rPSpRrVpH482i//fZzbYBmt2lmmY5XiQw9T39fsdUMptb2i9N5pRlHmhGpuqokvZLSqkOqL/rdJ9Z1rmrm2tVXX+2SQjpnNZtOz1U7o38rcdPa31RsVBcUc83Y22CDDdyytTrP1VYolkqgKTmk8zP8Xoo5ZpWvz+rmm292e5Mqkaf95vRcJedVn3QcUXuBqnyfnFc7plm5+ix0HuSb8VcKnSe64OGII45wSTCdJ0qAKb6qD2oTlUQqtU6p7urcVLJU9VxLI48cOdIuvfRS9z6VLNUMa/+doDZD/9b71U/U8qa5hGOuuqnkpdoDJej0XlWHCl2+UxeEKAaaxbjHHnu4+qEydK6p7dcytUq2hek7SH9T56e+J/15pLqqNkv1IMwnBVs7Np8oVFlq30pJzum4/AU5LM8JAABQ+5jBBwAAAEeD21oCUAPfStwoyaABYC21poFhDT5rtkRwCUwNFmt2gpKDmumiwXQNHmtgUTOtik22RNEMMQ3sKlmmWQnf+ta33ACyBlOjBpyVKNIgpwbatZ+YkmIawNXAqRIqfsk0Da4ryaLfo370OlHSwScBfFJTf1tJLg30KhmiGZAa2FaclIjSTEg/Y1AD0cGZK61RskwD5tpLUAPYSvho2TuVq0FiJYs0EF0JGoQvZMZboe+7VKNHj3bJFyVV/HJ/SjDpM1Nd0n0a/FZclYRS3fLL0Snpp1hrfy/NuFF9bas4FEsxUWw000mJASVsFTslo1WHFdPgMoZaDlIzrc455xyXLNFMVCUcdJ5pv8Jjjjmm5GNRkszXbcVLx6Ekhs55n/hTMk178uk80Qw+nc+analzX4kVJR1E51VrlFTT56nlJ9UmKPmmpL+Sxfr8lOzxn7Oep2SJ9kTT31TSRElHLX/qE6Ct/U0lqZTQe++991xiSZRkU+JP70szvNR+6O8qYa+ydUGCknfaT7GYY/Z1RokUxUax/POf/+yeqxmpahPVTkVR7P3noPqgc1n7+mnWc6XO6yBdEKDjUXJSbbTaM8VZbaIubIhakrlQqtNKHqod9Ql+JWxVV9VOaBamPjct46uE2oMPPmg//OEPC65DYYq5zg/NHtfnrO8itU1qEzSr1y8bXQi9TvVD56HORyXp9HloDz3N4NN5ELU3odo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- },
- "metadata": {},
- "output_type": "display_data",
- "jetTransient": {
- "display_id": null
- }
- }
- ],
- "execution_count": 12
- },
- {
- "cell_type": "code",
- "id": "81051db7-7900-470b-a04a-4f31b59597fc",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:23.504428Z",
- "start_time": "2025-12-15T10:38:23.434106Z"
- }
- },
- "source": [
- "rowsWithOrdersCount = {}\n",
- "for field in fieldsToCount:\n",
- " rowsWithOrdersCount.update({field: df[[\"id\", field]].groupby(field).count()})\n",
- "\n",
- "# Проходим по всем категориям и создаем графики Altair\n",
- "for idx, (field, data) in enumerate(rowsWithOrdersCount.items()):\n",
- " # Подготовка данных\n",
- " plot_data = data.reset_index()\n",
- " plot_data.columns = ['Количество заказов', 'Количество клиентов']\n",
- " \n",
- " # Создаем более читабельные названия для графика\n",
- " plot_data['Количество заказов_str'] = plot_data['Количество заказов'].astype(str)\n",
- " \n",
- " # Подготовка данных для Altair\n",
- " chart_data = plot_data.copy()\n",
- " \n",
- " # Создаем столбчатую диаграмму\n",
- " chart_title = f'Распределение по категории: {field.replace(\"orders_amt_\", \"\").upper()}'\n",
- " \n",
- " # Создаем график с помощью вашей функции\n",
- " save_altair_bar_chart(\n",
- " data=chart_data,\n",
- " x=alt.X('Количество заказов_str:N', title='Количество заказов', sort=None),\n",
- " y=alt.Y('Количество клиентов:Q', title='Количество клиентов'),\n",
- " color=alt.Color('Количество заказов_str:N', legend=None),\n",
- " chart_title=chart_title,\n",
- " tooltip=['Количество заказов_str', 'Количество клиентов'],\n",
- " file_name=f\"orders_distribution_{field}.html\"\n",
- " )\n",
- " \n",
- " print(f\"График сохранен: orders_distribution_{field}.html\")"
- ],
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "График сохранен: orders_distribution_orders_amt_ent.html\n",
- "График сохранен: orders_distribution_orders_amt_super.html\n",
- "График сохранен: orders_distribution_orders_amt_transport.html\n",
- "График сохранен: orders_distribution_orders_amt_shopping.html\n",
- "График сохранен: orders_distribution_orders_amt_hotel.html\n",
- "График сохранен: orders_distribution_orders_amt_avia.html\n"
- ]
- }
- ],
- "execution_count": 13
- },
- {
- "cell_type": "markdown",
- "id": "7c9aaf2b-56ec-4496-a8bc-0d6843f3542d",
- "metadata": {},
- "source": [
- "Большая часть записей содержит не более 1 заказа в день, также реклама влияет на то закажет ли что-то человек в сервисе, а не на то сколько заказов он сделает. Поэтому будем считать все заказы в 1 день как 1."
- ]
- },
- {
- "cell_type": "code",
- "id": "cf341e30-8d11-4aed-8e95-7f5d0ed5c0c3",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:23.822298Z",
- "start_time": "2025-12-15T10:38:23.509257Z"
- }
- },
- "source": [
- "for field in fieldsToCount:\n",
- " df.loc[df[field] > 0, field] = 1\n",
- "\n",
- "countsOfOrdersByCategories()"
- ],
- "outputs": [
- {
- "data": {
- "text/plain": [
- ""
- ],
- "image/png": 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- },
- "metadata": {},
- "output_type": "display_data",
- "jetTransient": {
- "display_id": null
- }
- }
- ],
- "execution_count": 14
- },
- {
- "cell_type": "code",
- "id": "780634e5",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:23.837351Z",
- "start_time": "2025-12-15T10:38:23.830806Z"
- }
- },
- "source": [
- "age_check = df['age'].describe(percentiles=[0.01, 0.25, 0.5, 0.75, 0.99])\n",
- "age_outliers = df[(df['age'] < 14) | (df['age'] > 100)]\n",
- "print(age_check)\n",
- "print('Outlier share:', len(age_outliers) / len(df))"
- ],
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "count 118,189.000\n",
- "mean 42.360\n",
- "std 9.930\n",
- "min 15.000\n",
- "1% 22.000\n",
- "25% 36.000\n",
- "50% 41.000\n",
- "75% 48.000\n",
- "99% 68.000\n",
- "max 80.000\n",
- "Name: age, dtype: float64\n",
- "Outlier share: 0.0\n"
- ]
- }
- ],
- "execution_count": 15
- },
- {
- "cell_type": "code",
- "id": "34341432",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.461643Z",
- "start_time": "2025-12-15T10:38:23.855912Z"
- }
- },
- "source": [
- "cnt_by_date = df.groupby('business_dt').size().reset_index(name='n_records')\n",
- "fig, ax = plt.subplots(figsize=(12, 4))\n",
- "sns.lineplot(data=cnt_by_date, x='business_dt', y='n_records', ax=ax)\n",
- "ax.set_title('Количество записей по датам')\n",
- "ax.set_ylabel('N')\n",
- "plt.xticks(rotation=45)\n",
- "plt.tight_layout()"
- ],
- "outputs": [
- {
- "data": {
- "text/plain": [
- ""
- ],
- "image/png": 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"
- },
- "metadata": {},
- "output_type": "display_data",
- "jetTransient": {
- "display_id": null
- }
- }
- ],
- "execution_count": 16
- },
- {
- "cell_type": "code",
- "id": "5e909c0c",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.607729Z",
- "start_time": "2025-12-15T10:38:24.472714Z"
- }
- },
- "source": [
- "fig, axes = plt.subplots(1, 1, figsize=(10, 4))\n",
- "sns.boxplot(data=df, y='age')\n",
- "axes.set_title('Возраст (boxplot)')\n",
- "plt.tight_layout()"
- ],
- "outputs": [
- {
- "data": {
- "text/plain": [
- ""
- ],
- "image/png": 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"
- },
- "metadata": {},
- "output_type": "display_data",
- "jetTransient": {
- "display_id": null
- }
- }
- ],
- "execution_count": 17
- },
- {
- "cell_type": "markdown",
- "id": "2bcbe13a-b64c-4b1c-887c-687c6460c0c4",
- "metadata": {},
- "source": [
- "Введем новую переменную (плотность заказов)"
- ]
- },
- {
- "cell_type": "code",
- "id": "14828657-59dd-4cdc-8417-89f66ab3d05d",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.616568Z",
- "start_time": "2025-12-15T10:38:24.615218Z"
- }
- },
- "source": [],
- "outputs": [],
- "execution_count": null
- },
- {
- "cell_type": "code",
- "id": "5f6e8954-a92e-4619-aa52-7e3f60830a7e",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.630483Z",
- "start_time": "2025-12-15T10:38:24.629148Z"
- }
- },
- "source": [],
- "outputs": [],
- "execution_count": null
- },
- {
- "cell_type": "code",
- "id": "87814225-cb3a-4f5d-88c5-a929cd2a9d18",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.639592Z",
- "start_time": "2025-12-15T10:38:24.637146Z"
- }
- },
- "source": [
- "# df['date'] = pd.to_datetime(df['date'])\n",
- " \n",
- "# # Фильтруем только дни с заказами\n",
- "# orders_df = df[df['orders'] > 0].copy()\n",
- "\n",
- "# # Сортируем по клиенту и дате\n",
- "# orders_df = orders_df.sort_values(['client_id', 'date'])\n",
- "\n",
- "# # Группируем по клиенту и собираем даты заказов\n",
- "# client_orders = orders_df.groupby('client_id')['date'].apply(list).reset_index()\n",
- "\n",
- "# results = []\n",
- "\n",
- "# for _, row in client_orders.iterrows():\n",
- "# client_id = row['client_id']\n",
- "# order_dates = row['date']\n",
- " \n",
- "# # Если у клиента только один заказ, интервал не может быть рассчитан\n",
- "# if len(order_dates) <= 1:\n",
- "# results.append({\n",
- "# 'client_id': client_id,\n",
- "# 'order_interval': np.nan,\n",
- "# 'total_orders': len(order_dates)\n",
- "# })\n",
- "# continue\n",
- " \n",
- "# # Вычисляем интервалы между последовательными заказами\n",
- "# order_dates_sorted = sorted(order_dates)\n",
- "# intervals = []\n",
- " \n",
- "# for i in range(1, len(order_dates_sorted)):\n",
- "# interval = (order_dates_sorted[i] - order_dates_sorted[i-1]).days\n",
- "# intervals.append(interval)\n",
- " \n",
- "# # Вычисляем средний интервал\n",
- "# avg_interval = np.mean(intervals) if intervals else np.nan\n",
- " \n",
- "# results.append({\n",
- "# 'client_id': client_id,\n",
- "# 'order_interval': avg_interval,\n",
- "# 'total_orders': len(order_dates)\n",
- "# })\n",
- "\n",
- "# result_df = pd.DataFrame(results)\n",
- "\n",
- "# # Дополнительная статистика\n",
- "# print(f\"Всего клиентов с заказами: {len(result_df)}\")\n",
- "# print(f\"Клиенты с рассчитанным интервалом: {result_df['order_interval'].notna().sum()}\")\n",
- "# print(f\"Средний интервал по всем клиентам: {result_df['order_interval'].mean():.2f} дней\")\n",
- "\n",
- "# return result_df"
- ],
- "outputs": [],
- "execution_count": 18
- },
- {
- "cell_type": "code",
- "id": "5afddb84-733c-44b2-9cdb-6f832e4837ec",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.646872Z",
- "start_time": "2025-12-15T10:38:24.645429Z"
- }
- },
- "source": [
- "# df['business_dt'] = pd.to_datetime(df['business_dt'])\n",
- "# df.head()"
- ],
- "outputs": [],
- "execution_count": 19
- },
- {
- "cell_type": "code",
- "id": "054769f4-29d7-41a5-941a-89b4f5f66804",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.657871Z",
- "start_time": "2025-12-15T10:38:24.656298Z"
- }
- },
- "source": [
- "# df.columns"
- ],
- "outputs": [],
- "execution_count": 20
- },
- {
- "cell_type": "code",
- "id": "39049317-5bc0-49ae-9ab9-bd20c6dc6234",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.665042Z",
- "start_time": "2025-12-15T10:38:24.663523Z"
- }
- },
- "source": [
- "# df.groupby('id').describe()"
- ],
- "outputs": [],
- "execution_count": 21
- },
- {
- "cell_type": "code",
- "id": "f7c2b3df-fb23-40c1-977a-599c9ac2233e",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.671689Z",
- "start_time": "2025-12-15T10:38:24.670206Z"
- }
- },
- "source": [
- "# dd = df[df['id'] == 2][['business_dt', 'orders_amt_ent', 'orders_amt_super', 'orders_amt_transport', 'orders_amt_shopping', 'orders_amt_hotel', 'orders_amt_avia']]\n",
- "\n",
- "# time_diff_transport = pd.to_datetime(dd[dd['orders_amt_transport'] == 1]['business_dt']).sort_values().diff().mean()"
- ],
- "outputs": [],
- "execution_count": 22
- },
- {
- "cell_type": "code",
- "id": "bdb1b84d-e5fc-4a46-866c-eea53141a02c",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.679915Z",
- "start_time": "2025-12-15T10:38:24.677838Z"
- }
- },
- "source": [
- "# df['business_dt'] = pd.to_datetime(df['business_dt'])\n",
- "\n",
- "# # 1. Определяем список колонок, начинающихся на 'orders_amt'\n",
- "# # Или можно задать список вручную: ['orders_amt_ent', 'orders_amt_super', ...]\n",
- "# target_cols = [col for col in df.columns if col.startswith('orders_amt')]\n",
- "\n",
- "# # Словарь для сбора результатов\n",
- "# results = {}\n",
- "\n",
- "# # 2. Проходим по каждой колонке\n",
- "# for col in target_cols:\n",
- "# # Фильтруем только те строки, где было событие (значение == 1)\n",
- "# # Копируем, чтобы не менять исходный df\n",
- "# subset = df[df[col] == 1][['id', 'business_dt']].copy()\n",
- " \n",
- "# # Сортируем по ID и дате (важно для корректного diff)\n",
- "# subset = subset.sort_values(['id', 'business_dt'])\n",
- " \n",
- "# # 3. Считаем разницу дат внутри каждой группы ID\n",
- "# # groupby().diff() посчитает разницу между текущей и предыдущей датой заказа\n",
- "# subset['diff'] = subset.groupby('id')['business_dt'].diff()\n",
- " \n",
- "# # 4. Считаем среднее значение разницы для каждого ID\n",
- "# results[col] = subset.groupby('id')['diff'].mean()\n",
- "\n",
- "# # 5. Собираем итоговый DataFrame\n",
- "# result_df = pd.DataFrame(results)\n",
- "\n",
- "# # (Опционально) Если нужно переименовать индекс\n",
- "# result_df.index.name = 'id'\n",
- "\n",
- "# result_df"
- ],
- "outputs": [],
- "execution_count": 23
- },
- {
- "cell_type": "code",
- "id": "70c7fd2e-0ff6-42a7-8216-91852f6c321d",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.686957Z",
- "start_time": "2025-12-15T10:38:24.685326Z"
- }
- },
- "source": [
- "# result[result[\"orders_amt_shopping\"] > 0]"
- ],
- "outputs": [],
- "execution_count": 24
- },
- {
- "cell_type": "code",
- "id": "5b9e3d6a-9624-4a11-9984-de5b1a44b04d",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:24.720472Z",
- "start_time": "2025-12-15T10:38:24.696453Z"
- }
- },
- "source": [
- "num_cols = list(df.select_dtypes(include=['number']).columns)\n",
- "num_cols.remove('age')\n",
- "summs = df[num_cols].groupby(\"id\").sum()\n",
- "summs"
- ],
- "outputs": [
- {
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- " 0.000 | \n",
- " 3 | \n",
- " 2 | \n",
- " 21 | \n",
- " 0 | \n",
- " 0 | \n",
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- "
\n",
- " \n",
- "
\n",
- "
8339 rows × 30 columns
\n",
- "
"
- ],
- "image/png": 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"
- },
- "metadata": {},
- "output_type": "display_data",
- "jetTransient": {
- "display_id": null
- }
- }
- ],
- "execution_count": 26
- },
- {
- "cell_type": "code",
- "id": "0ec6c4bd-69e1-4ae0-a07a-a8af6ffa206d",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:25.013830Z",
- "start_time": "2025-12-15T10:38:24.929631Z"
- }
- },
- "source": [
- "corr_matrix = summs[[\"active_imp_ent\", \"passive_imp_ent\", \"active_click_ent\", \"passive_click_ent\", \"orders_amt_ent\"]].corr()\n",
- "\n",
- "sns.heatmap(corr_matrix, \n",
- " annot=True, # Показывать числа в ячейках\n",
- " cmap='coolwarm', # Цветовая схема (синий - отрицательная, красный - положительная)\n",
- " fmt='.2f', # Формат чисел (2 знака после запятой)\n",
- " linewidths=0.5,\n",
- " xticklabels=True, # <-- Показать все метки по X\n",
- " yticklabels=True)"
- ],
- "outputs": [
- {
- "data": {
- "text/plain": [
- ""
- ]
- },
- "execution_count": 27,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "text/plain": [
- ""
- ],
- "image/png": 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"
- },
- "metadata": {},
- "output_type": "display_data",
- "jetTransient": {
- "display_id": null
- }
- }
- ],
- "execution_count": 27
- },
- {
- "cell_type": "code",
- "id": "a2050bc9-6c81-4b36-a54c-78394eb37dbb",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:25.020753Z",
- "start_time": "2025-12-15T10:38:25.018957Z"
- }
- },
- "source": [
- "# Определим приставки\n",
- "prefixes = [\"ent\", \"super\", \"transport\", \"shopping\", \"hotel\", \"avia\"]\n",
- "\n",
- "# Список базовых названий столбцов\n",
- "base_columns = [\"active_imp\", \"passive_imp\", \"active_click\", \"passive_click\", \"orders_amt\"]\n"
- ],
- "outputs": [],
- "execution_count": 28
- },
- {
- "cell_type": "code",
- "id": "5921553a-f176-4ff9-b095-a1282b4665af",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:25.040906Z",
- "start_time": "2025-12-15T10:38:25.035983Z"
- }
- },
- "source": [
- "# Функция для создания корреляционной матрицы для конкретной приставки\n",
- "def create_correlation_matrix(df, prefix):\n",
- " # Формируем имена столбцов с текущей приставкой\n",
- " columns_with_prefix = [f\"{col}_{prefix}\" for col in base_columns]\n",
- " \n",
- " # Проверяем, что все столбцы существуют в DataFrame\n",
- " existing_columns = [col for col in columns_with_prefix if col in df.columns]\n",
- " \n",
- " if len(existing_columns) < 2:\n",
- " print(f\"Для приставки '{prefix}' недостаточно столбцов: {existing_columns}\")\n",
- " return None\n",
- " \n",
- " # Создаем корреляционную матрицу\n",
- " corr_matrix = df[existing_columns].corr()\n",
- " return corr_matrix\n",
- "\n",
- "# Вариант 1: Одна большая фигура с подграфиками\n",
- "def plot_all_correlation_matrices_1(summs):\n",
- " # Определяем размер сетки\n",
- " n_prefixes = len(prefixes)\n",
- " n_cols = 3 # Количество колонок в сетке\n",
- " n_rows = (n_prefixes + n_cols - 1) // n_cols # Вычисляем количество строк\n",
- " \n",
- " # Создаем фигуру\n",
- " fig, axes = plt.subplots(n_rows, n_cols, figsize=(5*n_cols, 4*n_rows))\n",
- " fig.suptitle('Корреляционные матрицы для разных приставок', fontsize=16, y=1.02)\n",
- " \n",
- " # Делаем axes плоским массивом для удобства итерации\n",
- " axes = axes.flatten() if n_rows > 1 or n_cols > 1 else [axes]\n",
- " \n",
- " for i, prefix in enumerate(prefixes):\n",
- " ax = axes[i]\n",
- " \n",
- " # Создаем корреляционную матрицу\n",
- " corr_matrix = create_correlation_matrix(summs, prefix)\n",
- " \n",
- " if corr_matrix is not None:\n",
- " # Рисуем тепловую карту\n",
- " sns.heatmap(corr_matrix,\n",
- " annot=True,\n",
- " cmap='coolwarm',\n",
- " fmt='.2f',\n",
- " linewidths=0.5,\n",
- " xticklabels=True,\n",
- " yticklabels=True,\n",
- " ax=ax,\n",
- " vmin=-1, vmax=1, # Фиксируем диапазон для сравнения\n",
- " cbar_kws={'shrink': 0.7})\n",
- " \n",
- " ax.set_title(f'Приставка: {prefix}', fontsize=12, pad=10)\n",
- " \n",
- " # Поворачиваем метки оси X для лучшей читаемости\n",
- " ax.set_xticklabels(ax.get_xticklabels(), rotation=45, ha='right')\n",
- " ax.set_yticklabels(ax.get_yticklabels(), rotation=0)\n",
- " else:\n",
- " ax.text(0.5, 0.5, f'Нет данных\\nдля {prefix}', \n",
- " ha='center', va='center', transform=ax.transAxes, fontsize=12)\n",
- " ax.set_title(f'Приставка: {prefix}', fontsize=12, pad=10)\n",
- " ax.set_xticks([])\n",
- " ax.set_yticks([])\n",
- " \n",
- " # Скрываем лишние оси, если они есть\n",
- " for j in range(i+1, len(axes)):\n",
- " axes[j].set_visible(False)\n",
- " \n",
- " plt.tight_layout()\n",
- " plt.show()"
- ],
- "outputs": [],
- "execution_count": 29
- },
- {
- "cell_type": "code",
- "id": "62f4f2d4-1e97-430a-8767-313cc5c77b04",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:25.053558Z",
- "start_time": "2025-12-15T10:38:25.052184Z"
- }
- },
- "source": [],
- "outputs": [],
- "execution_count": null
- },
- {
- "cell_type": "code",
- "id": "44d8077f-78ae-43ab-aae0-13050941306a",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:25.739516Z",
- "start_time": "2025-12-15T10:38:25.058959Z"
- }
- },
- "source": [
- "plot_all_correlation_matrices_1(summs)"
- ],
- "outputs": [
- {
- "data": {
- "text/plain": [
- ""
- ],
- "image/png": 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"
- },
- "metadata": {},
- "output_type": "display_data",
- "jetTransient": {
- "display_id": null
- }
- }
- ],
- "execution_count": 30
- },
- {
- "cell_type": "markdown",
- "id": "f9171a75-688d-4b14-b26f-9ba9d08acdc0",
- "metadata": {},
- "source": [
- "Фактически полученные значения корреляций это конверсии. \n",
- "- Можем увидеть четкую взаимосвязь во всех категориях между показами и кликами в активных/пассивных коммуникациях\n",
- "- В развлечениях, супермаркетах и транспорте пассивные коммуникации показывают большие конверсии в заказы, чем активные\n",
- "- В шоппинге и отелях ситуация обратная\n",
- "- В авиабилетах ситуация крайне странная\n",
- "- корреляции между пассивными и активными кликами практически нет"
- ]
- },
- {
- "cell_type": "code",
- "id": "57f78e8d-e720-40e7-899a-47afc851629b",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:25.883928Z",
- "start_time": "2025-12-15T10:38:25.749029Z"
- }
- },
- "source": [
- "corr_matrix = summs[[\"active_imp_hotel\", \"passive_imp_hotel\", \"active_click_hotel\", \"passive_click_hotel\", \"orders_amt_hotel\", \"active_imp_avia\", \"passive_imp_avia\", \"active_click_avia\", \"passive_click_avia\", \"orders_amt_avia\"]].corr()\n",
- "\n",
- "sns.heatmap(corr_matrix, \n",
- " annot=True, # Показывать числа в ячейках\n",
- " cmap='coolwarm', # Цветовая схема (синий - отрицательная, красный - положительная)\n",
- " fmt='.2f', # Формат чисел (2 знака после запятой)\n",
- " linewidths=0.5,\n",
- " xticklabels=True, # <-- Показать все метки по X\n",
- " yticklabels=True)"
- ],
- "outputs": [
- {
- "data": {
- "text/plain": [
- ""
- ]
- },
- "execution_count": 31,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "text/plain": [
- ""
- ],
- "image/png": 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S9q0Y56It9m2Ucd+ShdfmvvUQ47yNOnb3bWfatwXYe1ZXpvMiNFjKBJopJOzISxASZH3ee7mJ2LF/1qLO6ata+HlKWBuJYF8Js/Ddi/Aj9+2tq0cQ3qyX2fzwFn2Qr8lhVkBL8jXZaNb5cdRt0t1svndAHfadlnIbBQYDakd0QNNOI22XSb5V7jZzHhHxd/XqVTzzzDPsHXUNGzZk7kSyRAns27cPo0aNYq8xoZGrv/32W/aKk7feeou5Kuk9duHh4UUuUJqfk5ODZs2a4Y8//jBbF42E3bVrVxgMBiZ4fvnlF7Y+WvbgwYOxdu3aMrVdWB9BlrNevXrhr7/+YuugZb700ku4c+cOXn/9ddYeav8///xjVv/zzz/Hq6++WrR9P//8c5nFGG3v22+/jZYtW7L3+VGbyJUrEBUVhWeffZa5aOl/aldcXFyR9ZL6haapH8mSSvz777/o168fGjduzL6XLFnC+u1+o76VgN31euHSGzOgzy09Zovct0TOtZtm83OjjO86dAmrDbFSAadawci5Fm1WJj8lDdqMLFbGUShWLemuDpa7KDFVhyDfkgVaNT8ZElOs3XOm9c5fz8PClWlWN69m9VSIvWM/tis2JR1anR41/bzN5tfw9WTfMXdSbYo/Qi6T4sV5f6HNSzPQ+bVZ+Gr5ViYmBUgErvzgWXw2YTA8XEqOYbMHuWJlUhESU81vqHfuGqcDfKwFDAk/orQ6edoCvDMvFQtWZyK7BNeiPbzdRczVmGxxkxRumsLN1BSKHSOS080PhNSMghLrkMWvZoAEa/bnWx0/9vAR2pduu30k8qza5yW0z6JOYXupDokIEhhpWQUY3kWOz6c44+upzpgcqYS7c9ktINUDFUhMyYfBYtsSkvIRHGAt7gWCAxU2YwLjk/JRrbBe7eoKNt2wrhO+e7c2Vs2vhwWfh6BPJw+7baJ4PWPfFdjuO5v7VmS77zKF40Fke9/6S5gVuCz7lmIx6bxISjM/xpPTjdN+hfvRlIDCh547VnUMZsdmNT8JcjUFeGqgE75+3g3fvOCGiZEquJVh36an3IZep4WXXy2z+Z6+xofq1Dvm11TCw6c6+o75qEjICVw9vQNiiYwtSyQWo8eItxDWtKdFme3s2yeoLh4GYomoQj6PGg9c/KnVakyaNIlZ0Eg0rV+/Hn379sXMmTNx6dIlnDp1Ck8//TQTLCSuPvvsM1Zu/vz5ePfdd5koIVG1f/9+s+U6Ozuz5dDyTFm3bh0TeWKxmInIP//8E++//z6b/+STT7JXovz+++/l3p74+Hhs3ryZCTgacXvHjh0YOHAgGjRowMSU8NoVilUUoDaQ9ZC2j97PN2/ePCZKy8LWrVvh5+fHlkGucHr1i7AMEnUknuVyORNwJKzp3YBjx45FdnY263/6BAQEsH4MDAzE33//zZbzwgsvYMOGDeyVMbS8WbNm4X6jTcuAJu6Ow+Wl7kbLgC7T6BYUIBcv+9/NBTJ3V5tlhHJUxlGclGIWy2QJWQPJglUSFM+kthFgrckrsFtvTKQHAn1lJbqTBbLVRqHsrDS/yTopjXEz2Wrr2KG0bOMDAln1QoJ8Mff5xzGxT3v8u/8kPli6rqicTCpBrQBzUVlWqN9sxRpp8o3TJEKs64hKqWNcpl5vLRDLguAqFpYrIHi4bbmShW62rCNMW+wGRtemMkQn6BFVRotacftQQvvKsE1aoX0iuKiMZQa2l8PDRYylmzX4a2cec02/MEwFeRmjwJ1UdIxbbxvFxaqUJYfHkBs/t4R6wnHj7iKFt4cUr00Kwtb96fhw9i2cupSDF8YG2hWAlIDCttuqH4zfNnKaHOhvUYXtW+G4L8uxV1zHfL5Ga77NZPmjmM5bd/T4cXUOVu5Ro26wFNNGOju8b/PUWexbrjK/RiqUzuw7X219TbXFlVPbcO7wKmYRVDm72yxD1r6d/8xkLubQhl3wMBCJRRXyedSQPgzxR6KLYs1IsBFklVqwYAF7hcnevXuZRWz6dKP7LyQkBJ988glSU1OZYFIqlZDJZPD19bVa9tChQ9mySfxQQgS99PjmzZsYNmwYs4otXrwY//vf/5iVjqhRowYru3DhwnLHvul0OiYmqZ1hYWGoV68ea9/EiRPZ//S9YsUK1g5PT6NFpnbt2kwQUtYU1SMrHSVSTJkyxW6GpilknSPhKGxHhw4dcP78eTZN1k8nJycm3EgAEiRMyeK5Zs0atq30P8UuCv1I4nrq1KmIjIxk09WrV2dC8eOPP8bLL7+MygQ9QdqD3AsotYztR3XqfstdYG+XlLAYhrgc9SijuH8nN6zbnYlj560TB8yXYd/cQMHjlugKg526N6mHaUN7sN+twmsxy/P3q3dh6oDOqOl/b6JPoLRD2VbzSzv+KypcQVyutpWtTq0AMar7SbBoY9kykMuzLkfrkFWZoMzmRRs0EBaTkm7AKyOd0CJcikMXdA6fG/b60d6+stdWoZpUKoK7qxRf/BiLQ6eyimL+fL1kLKmkpJi/0q6gFbFvKRmHBPOvm2wnZ9jjfrbvz21C3KnxPKcs7oRUA1593AWt61MyS+nxuwUFhnu6/hJXTm7FmoWvoXpIC3Qf/obNMqmJUfjru8kQi6UY+sz3Di2X8wiLPy8vL4wZM4ZZ6C5evIhbt27h8uXL7D9yMZJLmISMKX369HFo2eRGpvfg0bLJrUwu3ebNm6NmzZpMCObl5eG1115jVkBT8Zafnw+NRsOEZXkg8SVAooosaQIKhdEKQ+sQIFes6U2OLJlkZSPrIPWPI9SqZW6Sd3d3L3LrUh+SO10QfgSJPBKd9J8ld+/eRWJiIhPGs2fPLppP+4P6jNzCwnbYg8SlPcgqWhHoMow3Aqmr8eFBQLDm6TKyiyx+lmWEcsIyLBnW0x2P9TJ/Sj18NhfuLtZWDLJC2bJ6CJBlQ3giN6unFFnVozigqaO80b6pMxN+f2wsOZhdwEVlPF4tEzJoaBb2v43jWbAKdmoUaja/ff0QJv7ILVxR4k+w7FhaMgQrBrmnLFGXo055ECyLCosxvgSrECVEWCJYXYxtKyjVatS4jpS199KtslsohWUpZCVYH21kbgqWJOM22WpfQZH161KM3qQEhQgYWJ+Q5QiwLf4ej/TBmIHmD937T2TCw9X6NkLWuxy1nXNDbdtqblqPjgWDoYANAWPKyQvZaNHAhQ0Vk56lL7kf5Lb3reV+YvOE40HumLWXsqrLu2/VJbRPuFbYysoV5ilLOB6E/8kSacmNeD1rK4lVR1CojF4Tiu8zJU9j3A8KC4ugJUe3L2bWvBphrTH8uXk2M3hjrhzByh9fhFzhhCdeWwJP3+J76INGJDwRVTEeuPgj9yO5JEnkdO/eHR07dkSjRo3QpYvR5CuVlr9JJKiGDBnCXLpPPfUUNm3axNyXpk+h3333HerUMY9LIEyFUlkhS58ppuLSFpbbKMTVlSWL2F7Zkp64aT2WbTVdP8UQtm/f3up/ErNJSUmoLGRfNcacOIXURObpS0XznUOMMSnZl6Ogz8mFOjaRlTFF7usFmZsLK2OLnUeyceqSucWtZQMVS94gvW7atf4+UpbQURI0BmCtIOv+9veWIep2npkYnD7RF2E1FViyJg2bD9gWppZU9/VkmbO3ksxjBm8l32XftQOtRVwNP+PDBcUKmqIrHFtDYeP4KC/JaZQhWVCUpCHgVzidkGItMhIKXblU51aizqE65YHGs6O2+bjTuVrcF8ZpICnNWrgI8yheMC6leL6QDEBJHabUryXB+WgdyhM2S/FpNttXGK9GSQYltc/Hw7J9hXXuGpCtKWAWY3rYsISseFpdyeKaLG3HLIRY26auLHnD8twI9JUjNqFkq1jsnXyEVLd+OKF6124azz+K9yPrNVkATdtFWbGm7uyS9625uLK7bwvjA33cxIhPsT4eLPu7fk3at/ry7dt04761jBEVpoX4VlOEY4vKxCYXr9TXw7gjE+9SMgsNByNDTKLR2idAvUD7m6y9jkBCTCSWIC3JGEMtkJZkTMjwDjDGXNu672z7+3Oc2PUb6rcagAETvjQb30/gwtH1WL/4LXgH1MaoFxew8QAfJuJHMF6vInjgkpescunp6Szu7bnnnmMJExkZGUUHD7lBz507Z1aH4taEoV1KcwuR6/f69essTpCSIihGkCDBR6KLYvTIEih89uzZw9y+pQm2isRy+06ePMkslmS9qwgoiYPWYWptTElJQUxMDOtfy3709vZmYvz27dtmfXPhwgUmlh2FLHv2PhVFbtQt5N64jcBhfazG/iNhqI4xWkBTth+AX/+uEJsMdxIwrA8MOh1Sdh22uWwaZ48yb00/lOVLFgkSgAKuzmJE1FaYZQBbQv8F+clYwogA/Q72lxXVo8PujQm+CK2uwOzfUxwWfoRCJkXz0BrYefqymeDfceoyXFQKNKxVzapOi9AaUClk2HTsgtXYf1KxGI3rWNcpL5Q/ciVGixYR5k/+LSOUzCp4I85aOCfd1SMpTYeW9ZVWdShRhm6cFQFpX8pspbHdTGlcx5gteSvJYFNUpGYY0CTE/OGtcYiUBd5TEoWASmG8UZdlaBfL9pHLznJdNE3tiyl065mSkmHM8mwaalEnVMIEDw1anK8FbsQZmFXS1OBRN1jCLFGWY8OZcjdDh+sxGrPPqYvZcFJJmAAUcHORoEFdJxafVxKUHUwJIdUDi8UB/a4RpCjKHD5+3ig0O7cyH/ezTWNXRN/WlGh1p76LTjCwcfrKtG8zDcyiZwodHyXt25uJ5Ys5pfZdj9Wjaaj5gxYJN7LQ2VouHff0aRpmWUfKEkfuZhaw5Y7srmLDxZhtQ4gUcpkI12479uBElroadVuymD3T68qVk1uYVTCodmOb9fas/h8Tfq17TsSgybNsCr/r5/Zg3a/TERzSDOPe+POhC7+qzAO3/FGSAcX9UZIEJXXcuHEDX35pHKuNxApZ7IYPH87cj5SoQYKF4tEolk9wq5IVioQKxaVZQrF+5Fb95ptv0LNnT7i4GE3UFC/4+OOPs+XSPHIHHzlyBF9//TVzET9Ijh8/zmLwBg0axH5TwglZ3SqK0aNHM3H9xhtvsDg+6ldKqKGYQyGmj/qRRHd0dDQTnhRvSAkxQUFBLEmF4i8pLpFcufdiFa0IyHXrUj+UiT7K1iWufT4PTRbOgPZuOu6s2wn/QT0QNLI/To4xWnqJqFkL2FtAWq1fgOjvfoVzWC02PuDtBcsdHuNPGNPvQpQGL4z2Zu5YGuaFXMPknqJhWkyFHWXx3Yw3ippDZ3IwuLsbG+j5r01GN+7j/TxwKyGfuZKJ3u1cEVFHyZZzN0OPUIvhT67fsh+jM6VfRzzz/e94Y8FKDGnXBGduxGLJtkN4aUh3lrFLSR83EpIR7OsJL1dnOCnleG5AF3zz73a4OSnZmz2ozq9bD2JM99asTEWybm823njSE8+PcMfeU2rUrS5Dvw5OWLE9mwkRcnVV8zVmU9MbLIi1e3Lw1BB3ZKsNOH0lD83CFeyNH/NXlO4KLwv05otnBinxZG8Fjl7WsRi9rs1k2HjIOAwKuVwpg5YEX06hxt92XIvHeyjYmxIuRBsHAiax9dtW84eAQO9ia1t5oXVNHaLEhL5KHLmkRa0ACbo1l2H9wfyi9tGbP1JM2rf1aD7G9FIiRw1mdaRBnpvVlWHJ5uL2rT+Ux5I7aNvpDRauKhEbPJpEh+VQJ6Vx4ZoaZ6/k4LXJ1bD43yRk5ugxZoAPctR6bNyTZibs6Ny4UWjx3nc8EyP7eeOjF2tgySqjV2H8UD9Ex2qw74Qx0en81VwcOZOFp0b4QykXIyY+D93buiMiRIXPfjCOUFAS209o8fRABcb1lrM3b1BWbpemUmw8XMq+7a5gAuzCTT0aFO1bcwtmoFfJ1ldH2XJEgxcec8akAU44fD6fDd3To6Uca/dpWPvIihfgTW+3MbC3kxCbDmvYoM40qDwNN0QPHS3C5Vi03ngtIfG39VgeBrRXsnPpQrQWQT4S9G+nxJnrWly97fi+bd9/Kv78biJW//wyGncYjtioUzi8bSG6DX0NMrkKeepspCRcZ1ZCGr/vzu1LOLTlFwTWasTG6ouPPmO2PJ/AUEikMmz67V2WONK+37OsvimungFw8wzAg0b0CCZrPJLijzJyyaJEb6eghAISa2TVI8sQWatIuFD2K4kjioOjjFYSfiRiCHLrbtu2DQMGDGAZr7agBI/Dhw+zb1NIYJEAIgFIApLcmZRsQoLzQUKCipI8SPzR9lG7aLsrChJzy5YtY8JWyPqlOEqadnMzPkX37t0by5cvZ22gspT9S3F9v/32G9s3Pj4+GDlyJOufh41bswZot+M3nJn8FmKXrmLz6FuskKPOK5MQPGE4swTSGIEJKzYV1cu5cgNH+k1ir3dr/vf3TDhGz16Mqx99X+Y2fLs0GWMHeGJMf0/mHrsSk8csdaZv95g01Au+nlK8NCO+6GL8xS9JGD/IE08N92JvJSCLH73eTXAX0ds8iJ5tXdnHktHT7Y99RQM0f/P0Y2yw51d+WgE/d1e8Mqwne70bcel2AqZ8uwwfPzmw6NVs43q2hauTEr9tP4JVB0/D190FUwd0wcTe1i7/e+VStBZz/87A0G7OeOlxD6Rl6bF8azY2HzLesGoFSvHWBC8sWJ1R9Go2+qahOvq2d0LnZipm2fh5ZQaOXih7cL09rscZsGRzHvq0lmNiPwUysguYsBLG46MYqeeGqPDXjjwcK3x9G31TxAVlerauJ2UWoz+2G98AYQoJqrK+VcGSa7F6/LpRwwZ7pqFY0rML2LAiuwvfPkLJJCTi/timYeKVoG+pRINuzeVoU9/YvmVbi9/uQdBgxHNXqtnbTCb2UyJfByYm1u7PK9OQJQKUkEECjd7GIRIDl66rMfOXOLO3e9BbOWjQ5qfeNYZb6HQFeP+7W5gyyh/Pj6U3dpA1MBsLlieZuVJn/hyH0QN82GDP7q4SNhbglz/G4tjZ7FL37dIt+ejdSoYJfRXIyCnAhkNas307dbCSZToLr2+jb6kkH12aSNGqnpRZ0/7YkYczFuMmujoVxp/ew74lIbZgXS4i2ykxZZATO/ZW79VgZ+Hr3WjfvjzSBb9tzi16fRt9SyVqJhLbNZQz0b9kUy5OXi22oG85nIfs3AJ0bipHxyZydn2iJI+Nh8qWdFSrXjsMe2YO9q37Hv/+8DxcPfzRffh0tOk1if2feOsC/vjfk4gc/yUatx+GK6e2Mr9/ws1zWDpzlNXyxry6lCWSZGcks+m/ZhuXY0rHAS+g08AX8aARV1G3r6igMo32WwWoDK+He5hskJkPSFyZiNReKVVsPSz+/KoG1Dt/Q2VF1X0cJnzk+HA9D5rFH/njtfkluyEfJt8854xpcxwbPuNh8N2LLhj4THFsbWVj3U8ReP0Hx96D/TCYNdUJL/yvfK9HvN/MfdUdi3ej0jLBODDHfeV4F+ObSO6VlnsO4VGiaqa5cDgcDofD4VRRHrjbt7JCLmaKLbTHO++8U5R48l9tA4fD4XA4VQVRFR1fkIu/Qii+jeLg7EFZsfcKxdQ97DZwOBwOh8MBT/io6tAwKxU11Mqj3AYOh8PhcDj/bbjlj8PhcDgcTpVEXEWzfbn443A4HA6HUyURVdFx/qpmpCOHw+FwOBxOFYVb/jgcDofD4VRJRDzbl8PhcDgcDqfqIOJuXw6Hw+FwOBzOfx3u9uVwOBwOh1MlEfNsXw6Hw+FwOJyqg6iKun255Y/D4XA4HE6VRFRFEz5EBQUFBQ+7ERwOh8PhcDgPmkvDe1XIciL+3YZHCW754zxQRk+/VWl7/M+vamCDLByVkUjtFUz6OAmVlUUf+mHuxsr7HPlCfxHGf5CIysiSTwLQceAeVFb2r+uCbWfyUFnp1USBIc9dRWVl9fwwvDw7C5WR2S+74p2FlXfffjFZcd/XIeJuXw6Hw+FwOJyqg6iKir+q6ezmcDgcDofDqaJwty+Hw+FwOJwqiaiKWv64+ONwOBwOh1MlEVXRbN+qudUcDofD4XA4VRRu+eNwOBwOh1MlEfM3fHA4HA6Hw+FUHURVNOaPu305HA6Hw+FwqhDc7cvhcDgcDqdKIqqiCR9c/HEqBQq5CGP6e6B1Iyco5SJcis7Db+vSkJCss1vP3UWMsQM90SRMCYlYhNNX1KxeepbBrMzIPh5oFKaEq5MY8ck6rNuTicNncsvURmU1f3Q+vR7Hhz+Pu3uP2i0bNCoSoW9PhVOd6lDfjMP1r39G3G+rzdveoiEiZk5n37rMHMQuXYmrn8xFgVZbpnY1qCPHsO7OCPKTIjPbgJ3HcrHlkNpunTYNFRjQyRm+nhKkpOux8UAuDp7R2N5uuQgfP+uFtXtycKCEMva4dXk/Dm38DncTr8PJ1RuNOo5Bs66TIBKV7m5Jjr2I5d+OxLh3N8PNK9jsv6hz23Fs63ykJ92Ek5sPwlsMQsueT0MilTvctoYhcgzv6YpqvlJk5uix42guNh2wf1y0baTEoC7Ud1LWd+v3ZePAafN+qRUkxeN93FA7SAp1XgH2n1Zj1a5s6PUoMyqlGFMn1EGX9r5QKSU4cyEd3y+Iwu04+/vYlE/fqg+1Ro8vvrtiNt/XW47nJ4agRVMPyGVinDiTjvm/3kBsgmPLvnTmINb9NQcJt6Pg5u6FTn0eR4+B40vct9r8PGz650cc278R2ZlpqFYzDP1HTEX9ph1slk9LTcQXrw3HlDe+Q1iDVigrSoUITw7xRbumLlAqxLh4XY2F/yQhPsn+OebuKsGk4b5oVt8ZEglw4nwOfv03GWmZxTuwZ3s3vDA2wKruht3p+GV56W/jCa8hwYD2CgR4iZGVW4B9Z/Ox66T9djUPk6J3azm83cW4m2nA9uP5OHbJ/Brp5ynGoI4K1K0mgb4AiIrVYfW+PKRmlu0NPKHVROjdQgo/TxGy1cDhi3rsP2//AG5cR4xuTSXwchUhLbsAe87oceq6wXwb6orRqZGxTFYucPKaHrvP6GF4SC8IEnG376PJnDlz0L179//s+u5XG+iVzqtWrUJqaqrDdWidtO77wYtjvNGmsRP+3JiO+X+nwstNgvef8YOzqmSBQA9sb072Q2h1ORauvIuFq+4irKYCbz/lB0nhw5xUArz1lB8a1VXin60Z+N/SFNyIzcPLT/igY3Mnh9unDA5A642LIPNwK7VswNDeaLp0FpK3H2BCMXXvUTRdNBOBI/sXlVHVDkabzb9Cr87DydHTcOPbRag9bSIafPceykKdalK8PMYdCSl6zPs7A4fPaTCilwv6dyh521pEKDBlmBsu3MjHnL8zcCUmH08NcUPrBtavUnJSitjySSSWh8Sbp7FuwVR4+tVB/4lzENZiIA6sm4UTO34ptW5qwlWs++UZGAzWDwC3rhzAxl9fhIdvLfSfNAeNOz6BEzt/wf41Mx1uW0iwDK884ckeMOb8lYZDZzUY2csVkZ2cS6zTsr4Czwx3x/nr+Zj9ZxouR+fj6WEeaNNQWVSG+mr6eC9odQWYtzwdmw/moE87Z4ztX/qxY4sPX49Atw6++HHJDXz27WX4eisw5/MmcHUu/dmdNNhLT4Ww+paQGPrusyYIreOMb+ZfwyezLsPHW465M5rA1aX0ZUdfPYMfZ7wA/6DamPL6/9CyUyTW/P4ttq1ZVGKdP378CHu3/I1egyfimenfwzegBlvG9UsnrMqmpSRi3mfPQp1b/lejvToxEO2bu+C3NSmYvTQRXh5SfDatOpxVYrvXlQ+er4awWkr8+Ocd/PRnEiJCVPjoxeCi6wpRO1iJ2MR8TP/qltlnzfa7pbarZoAYTw9S4c5dAxZuUOP4FS0TbD1blvzg0iRUinF9lbhyS4+F69S4HqvH2N4qNAsr3lceLiJMG+EEF6UISzarsXyHBv7eEkwd6gRZGU7h6r4iPNlLhuSMAvy+XYszUXr0bS1B58YlL6RBLTFGdpXiWpwBy7ZrEZ1QgBFdZEwQCrRvIMFjnWVISi/A7zt02HFKhxZhEjze7eHZoURiUYV8HjUeecvfpEmT8MQTT/xn13e/OHbsGN566y3s2LHjYTcFdWvI0aK+E2YsTMKZK0YLyuXoPHz/VhB6tXPF6p2ZNuu1beyE2tXkeH1WPOKSjAIhJj4fX70aiLZNnHDgVC6aRahQK0iOd79PxI3YfFbm3DUNfDykGNTVDftPlmL9E4kQPG4IIma+CTh4fod/+ioS/tmMS69/yaZTtu2HzNMd4R+9jITlG9m8kDemQJeVg+PDnmOWvuTNe6FXa9Bw9vu4PuNHaG4nOLSuIV2dcStBhwWrjX10PiqfWSoiOzlh25FcaG0YTod3d8bxC3n4a0s2m74QlQ9npRhDuznj6IXi93w2DZNjTD9XZvkrL0c2z4FvtQj0HvsVm64Z0QkGvQ7Ht/+Epp2fhFReLJoE9Lp8nNm3jNWVlmDFu3R0JVw9AtF77NcQiyWoEd4BuVkpOLV7MToOeQsSiazUtg3t7oKYRC1+XpnBps9dz2c394GdnLH1UI7NvnuspyuOXdDgj81GQUIikB5QhvVwwZHzxmM3sqMzNPkF+O6PNGbpO3stH/naAoyLdMO6vdm4m2FuCbFHg3A3dGzjg9c/OofDJ4yi4uyFDCxf0AZDI4OwdHnJ78oOqeWMac+EIqKuKzR51habrh18UTPYCeOeP4boW8bzIComG/8sbIvuHX2xZrP9Y3DDih8QXLsexr/4BZuu37Qj9Dodtq5agK79n4DcYt+mJsXh2P4NGDHpHXTu8zibF9awNW5cOYV9W/5GaEQLNs9gMODo3nVY9ds37CG1vITXVqJ1Yxd8MjcWJy8at48sfz99Uhv9unjgn822RVqH5q4IqaHEC5/cZOKOoAfG79+riQ4tXLH3mHHf1w5W4HqMBldvlt0a3q+tArHJBizbWni9i9GzY69XSzn2nMqH1oaBLbK9Aqev6bBqr/EcvXxLzx7OItspcOqq8WDt11YOdX4B5q0qPvdTMw2YMlCF6v4S3Ih3zPTco7kUCakFWLHHuJBrcXomirs2keDgBT10NhbTu4UE56MN2HjE+Oe1OB1UCqBncwnO3jCwB5HuTSVMHP65s/jkik/V4uVhcoQG6XE9vvK+H/y/xiPv7HZ2doaXl9d/dn33i3u5qFY0jcNV0OQZcPZq8UU0K8eASzfy0LSequR6YUrEJWmLhB9Bv8mlI9RTawzYfjirSPgJxCdr4e9d+rOPW+NwNJz3MWKXrcbpCdNLLa+qWQ0u4bWRuGab2fyElVvgXLcWnEJrsmnfXh2RtGmPmYs38d/NEEkk8O3dEY5AVs3wWnKcvGz+YvbjF/OgUohRt4a1ACJ3UYCP1LrOpTzWH35exid7lUKEF0a548rNfPxvWTrKA4m42OtHUadRT7P5oU36QJuXg/hoa2sPcfPSXhzdMg8tez6D9gNft1lGp82HTO7EhJ+A0tkDBr0WWk2OQ31Xr5YcJy6Z9wMJO3KzhtW0Fp0+HhIE+kit61zUIMBbCv/CvmsYqsCZq3lmLl5arlgsQqPQsr2ovk1zT+Sq9Th6qliopGdqcfp8Otq2sH8deu+VeiwU4pnXTyEt3dqduO9wCp5941SR8CPIWkmQC9geWm0+rl84hiate5jNb9a2FzTqHERdPmVVx83TF298+Sdad44smicWiyGWSNnyBOJvXcVfv3yK1p0HYvwLRmFZHshlS+f/6UvF25eZrceF67lo0aBk626zCCcm+gThRwjTpvVqVZMjOtb8WHAEejgjl+y5KPOnizPXdcxNXaeatXWNXKT+nmKctaxzTQdfDzF8PYwPaI1DZThyQWv24HI7yYAPFuY4LPxIhNYJFOFCjPlDCgk7ehCs5W/9MOjhAtaOizbq+LiL4e0mgovK6Em4fMu8zJ20AuSoCxBeXfzQYv5EFfB51LjnFoeHh+P333/HyJEj0ahRIwwcONDMmkRPcT/99BP69OmDhg0bonnz5njqqadw61bxE+uePXswbNgwNGnSBO3atWMWqYwM49M4sXDhQvTs2ZPVJ9fjvHnzisSLqQt03LhxmDZtmpWFi9oYExPDpnft2sXW1bhxY/Tq1Qvfffcd8vPNhYE9TNcXGxvLlr1hwwYMGTKEbT8tOyoqirWxffv2aN26NT7++GOz9o4ePZr936ZNG7Rs2RJvv/02srONVpiy8PPPP6Nz585sW2jbb968WfRfeno6W2+XLl3Y/48//jiOHDnC/qPvJ598kv3u0aMHVq5cyX6fPHmSWTWpfNeuXVn98rSrrFTzkyLprg6WejQxVYcg35IFWjU/GRJTrG9qpvXOX8/DwpVpVhe3ZvVUiL1Temyd+lYCdtfrhUtvzIA+t/QnfJd6Iew751rxviByo4zHn0tYbYiVCjjVCkbOtWizMvkpadBmZLEyjkDuRZlUhMRU84t60l3jNAkSS4R+KalOoLfxxkOWqvfm38XCNVnIynXcUmVKRuptJsY8/GqZzXf3qcG+05LMt1/Av3ojTHh/B1r1etZM3JnSuOMYpKfE4OSuhchTZzL38uk9S1EzogsTgQ73XYr5zfROUT/Y6jtJ0fFlVqewL0lUy6TGZVuWoZiuXI2BiceyULO6E+IT1TBY7IK4BDVqBNsPW/j0f5fx3JunEXXTthjOydXj/GWjxVgqFTFL4XvT6iEtIx879yfbXXbqnVjodFr4BRofZgTIjUskxZsf/4RMJkfNkAZQObmy+wK5df9ZPBMpibfRsdeIonKePoH48Pv1GD7+DcgU1pZhRwkOkONOqtYqliwhWYtq/nK79eKTrO8JpvUCfGVwUkkQWlOBeR/Wwj9z6rLvrm1cS22Xj5uY9XdSmvlOTU43Tvt5WN+W/b2M85It6xRakSnOz8tNBCeFCHezDHisqwJfPOOCWc+74KkBSri7OG69J6EplYiQmmHecULMoI+79bKENqdY1skqrqPJA/SGAiYUTVHKKQTBuN6HgaiKun0rRK7OmjULgwcPxpo1a5jYeOGFF5iQIJYuXcrEGwm6LVu2MNFDImXGjBns/7t377Lyw4cPx8aNGzF37lwm2L76yugm2rlzJxOPJES2bt2K119/HT/88APWrl1r1Q4SXiTuTAULlSPBWbNmTezdu5eJQxKq69evx4cffohNmzbhjTfeuKft//bbb/HOO+9gxYoVyMzMZOKOtvG3337DK6+8gj/++IO1S+DcuXPYv38/Fi1axPqDttdStJZGXFwc62MSgMuWLUNycjLeffdd9p9er2fu6ePHj+Prr79m4i4sLAyTJ0/G2bNn0axZs6LYPWpz//79cfnyZUycOBGdOnVifUb79MKFC2w599tK6KQUsxujJWQNJAtWSZCFRq2xbpsmr8BuvTGRHgj0lZXoTjZFm5YBTdwdOIrU3Xhl02Wai2Zy8bL/3Vwgc3e1WUYoR2UcgaxzQj9Zbr/p/7brmPebME2WB0JvsBaIZSVfbXSPyRXm2yNXGK0n+RrbDxYuHv6lCrjgum3RvPtkHFj7NX5+pzVWzH4cTi7e6DNulsPHHEHJGKaQu5ZQKm31nf061LfCcjUlHpdlu0m4OEmZ5c8Smuessh/EdSOmdAuowMz3G2LJnJZo3tiDJXykptl/IBbi8JQq832rUBkFqSbX/kMjxQW+/1xv7N74O9p1H4p6jdsW/efs4g5Pb+tEinJdV9TW1xWyBtK1o8R6KonN65E6r7geuXwJf28ZSwT5bH4ccwFPGx+IXh3c7baLhI7pcSOQV9jlwjloXkdUQp3C41VOljVjmUEdFEzsLdmkxl/bNQj2k+DF4U6QO/jcQWKMrUtrvq58bXFyXol1SmqfDMyVTe7fdvUlaFFXzOqQKHy8m4w93Mhlj56AepSpkJg/El1CHByJs6NHjzJBQqKrRo0amDlzJrp168b+r1atGvr27YvNmzez6Tt37jDLW1BQEPuPPj/++CMTMARZCOVyOZtPZejj5+fHvi0h6+Inn3yC7du3M0scLZcEpyDuaLkk/MgKRlDbSFSOHz+eWfGCg82zCR2FBBJZ+AiyJpLoo3aoVCqEhIQwoXXt2rUiiyFlwpHF0d/fn01/8MEHmDJlCm7cuIE6deo4tE6ZTMYEmouL8eJL20QilCBhScJt3bp1TPQRtJ0kOkmIz549G+7uxgsUubCVSiWb36FDBzz77LNsfq1atfDNN98wiyvtT7JSVgQU92GZCGgv6dNeBpi4HPUoo7h/Jzes252JY+cdz5Z0lNLM/wV0lSu1jGNiu7RkWVuavTx1yktBgX2LoUhU/mfP3Ss+wsWjK9Gq11QEh7VF1t04HNk8F2t/egpDnlsMmVxVyrrvT9+VVsberqW6lse0vS6qyOzIJX/H4I9/b6N3Vz+8O60ec1Fv2JZYYvnSHghLOw8ateiCkPCmzD286d+fWBawEDtYUdcVe02w1357+1CodvGamgm+c1dziwQOuZcpS3j0AG9sO5BRruWbrsOU0gxLdCyQtU6wMi9ar0GBiXXw1VHOaFFPhkPnS/d2lOvcKGWZQpU1B3TQ66UY2kmK4Z1FyNcVYO8ZPRQyMfv9MBA9gi7bSiP+LIUBWZYOHDjAfpPgOXPmDBMc0dHR7HP9+vUi4RMREYEBAwYw0eHr68sECLkcSUQRgwYNwr///suEXWhoKHOl0m9b4s/JyYkJSxI9JP7InUwCsF+/fuz/ixcvMsvXP//8Y3URIFdtecUfWRVN2+Dj48OEnwCJK1PXMgkrYfsJEsnE1atXHRZ/3t7eRcKPcHNzg0ajKVqOq6trkfATBCe5mEkY2oL6hlzjtO8sob5xRPyRC9keFA4wrKc7Hutl/mR8+Gwu3F0kNi0t9JReEvR0buspWaUUWdWjGK+po7zRvqkzE35/bCxfHFtp6DKMFhGpq3lMkWDN02VkF1n8LMsI5YRllIZggbLsA8G6lGthobJXR5i2tGrdC3Kl0cJJ8X2mCBY/hap0F5ktstPv4Pzh5SwmsG3/l4vm+9dojN9nDsDFI/+iSaexdpchWIwtLXHCtK3jrqjv5CXUyTOU2L9COXvH88THa2LSGHMX+a79yfDysHZROjlJkJNjfxiksnD2otEKfuJsOgL8lBg/soZd8adyMh7PeRbxlRTvZ/p/SQTVqMu+Q+u3hMGgx4bl8zFw9Ivw8gksV/tH9ffG45HeZvMOnMyCu6vUYYug6XXFlufAWM9olMjI1uP4eWvLKg0J0zTCGR5uEqSbDAtjCrk/bR1HgvXM1jkozDNa3Yr/F5ZBVmXB6nYpRmdSAohJNLBrQbCvYyJHU3irUjBLXPGSFIUhxILYNatjZhW00b7CZebrgJX7dVh/2JiZnJ5dwOa1DJeUeSiaCkNUNS2OFSL+pFLzxZDVjgJ5CXJLkmtz6NChLJ5vwoQJTARQnJwAWZief/555pY9ePAgs9S1aNECS5YsYZYpciefOnWKCUoSL+RKfvHFF5m72JYVkix5KSkpTASS5UoQSRRnQvGG1BZLSHhW1PYL227PameKYOWUUCSwg9grW9JTLc23bKsA9Q3FawqWP1MqMsFl55FsnLpkbnFr2UDFkjfoHDRtur+PlCV0lAQN0VEryDqpgVwxUbfzzMTg9Im+bBiYJWvSsPlA+YeOKI3sq8Y4NqeQmsg8falovnOI8QEh+3IU9Dm5UMcmsjKmyH29IHNzYWUcgeL0KIbGz4v2afHDhZC0YWuMxMQUfVGZW4nF/wvJCjQGYkVBsX0isQQZKeYZqemF057+jj3oWJKVHs8OlMDaxocmAa+AUOYupvEESyMpjSwQ1Hfm55E/60vqB+sbd0JhfCANnWHed8V16MZ4N0NvtVxXZzFzGdparsCaLQk4cMx86KXObX3Qurmn1bkRHKhCTGzZxqm0pF5dVwT5K63i+67eyEbDCPuuSx//6iweMznRfN8K0/7VrPft3eR4XD53GK06RkImL058Ca4dwb4z7iaVW/xt2Z+OY+fMXc1tmriw5A3Lvgv0lZslc1gSdycfdQrduqZQqMi1wsze+iEq+PvIsOuIeeiIXC5ix1V2Tsn7OSXDwM5by9g5n8K4ORr+xRIhPtDXXYy4ZIPNOtmaAhjoGm/jXbU0y1b2ui3uZhWw9lGShinCNA3TYokQr+jtKmJZwtZ1jP9TUgcJ2VtJBUXLcVYCbs6U9Vt5khCrAhVi7yR3oikk1Bo0aFDkaiVh99FHH2HUqFFo2rQpi4cTBApZBb/44gtm8SJhSGKRpg8fPszGoKP4sz///JOJwZdeegnLly/HiBEjWHygLci6RS5iEoy7d+9mYlCgbt26zPJIljrhk5iYyOILc3Icj4+5V6gNWVlZZv1F1K9fv0KWT0kotHyyAApQf584cYJZTwnLQVipb8gia9o3Op0OX375JRISHBt2hES9vQ9Bg6RS5q3ph7J86amaBKDpzTKitsIsA9gS+i/IT8YSRgTod7C/rKge6fA3JvgitLoCs39Pua/Cj8iNuoXcG7cROKyP1dh/JAzVMXFsOmX7Afj17wqxvFi8BgzrA4NOh5Rdhx1aFw23cDVGi+b1zG9ULeormPUiOs5aOCel6ZGcpkfLCIs6EQqWpJBahmFISkMqU6BanZaIOrvV7IGEpskqSJa68uDhU5OJyvgbx83mpyXdgCYnHe7e1UtdBt0IaXzDlvWVVuP45agNuBGXb1NsU2JSKxt1KHGEBnwmzkfloWm4klmbBVrVVzBRcDG65OzQ1Lv5uHI92+xz9FQanJ2kaNO8+AHMw02GJg082H/3AmULf/BaPfj5FB8LdL5Q3F/UTfsxeyTeQiOa4/SRHWb79vTh7Syho1ZoQ5vij8b5O3PUfHipy2cOQSqVsfECy0tahh5Rt/LMPuSGpfg9EoACbi4S1A9VmWUAW3L6Ug5L+qCPAP2uHqgoqtcwTIWXxwew648AXVLbN3PF5Rtqm0OhCNB/UXF6lplrOY4fWehi7lhXpkQKEo1N6kqt6pAwJMFGMXlsuSFSllEsEFZdwixyjmb7UvtuJhawcftMaVDbKNxik61F2t0s4G5mARrWtqhTS8zanV54OLWpJ0b/Nubb0KGBhIlzGrrmYSCqogkfFWL5IwsdiTfKxiVxduXKFXz++efsv8DAQGaxI/cvWcRIlFHiBrlGCbLKUUIEWcMoHi8vL48JO3KNenp6smmKGaQhVkjYkVijBAn6bQsSNeTyJWsjWazati0OJKa4OkqsoKSSyMhItixKkiB3771Y/spKbm4upk+fzpJByEJJ8YGUdEGitSLo2LEjc6e/9tpreP/995mLmGIwSQxSkovgniYo0YP6WRi/kGIDx44dyxJX6De5kmlf3E9oTL8LURq8MNqbuWNpmBdyDdNNmIZpMRV2lKF5M94oag6dycHg7m5soOe/NhnduI/388CthHzmSiZ6t3NFRB0lWw5ZZEJrmLvQrt9yPNPbFuS6dakfykQfZesS1z6fhyYLZ0B7Nx131u2E/6AeCBrZHyfHFCf1RM1awN4C0mr9AkR/9yucw2qx8QFvL1ju8Bh/xLq9OXj9SQ9MfcwN+09rEFpdhr7tnfDP9hzmTiG3C2WpkuCjWCCC3tQxeYgbstUGnL6Sj2b15GjdUIkf/ik5Tqm8tOw9Fat/mIjNS6Yhos1wJEafYhm67SNfY3F55AImSx1ZCVUujlmYqRyNEXhqp3Ew4Rph7ZGVFs+Gh3H1DEKDdsWZo/agfpg+3hPPj/TAvlO5bLDwfh2csWJ7NruRkuuW3vxBgk/ouzW7czBlmDuy1QU4dVmD5vWUaNNIxQZzFti4PwdtG6nw2jhPbD6YiwAfCR7r4YrdJ9RlGuOPOHMhAyfPpjORNn/xDWRmaplrODtHh9Ub44vK1aruBJlMjGs3HM/OX7M5HkP6BuKrDxpi0Z8x0OkMGNo/CCE1nfHKB+YP9LboM/xpzP30aSz69nW07TYE0VfOYMe6xRg05mXIFSqoc7ORGBsFn4DqcHXzQp16zRHeqC1W/DqDuYfJenj+5B7s3fIXIkc+ByeX8g2CXRI0ph/F5L0yMRBLViWz6wq5hnPUemzam24m7Oi6Igzbsv9ENh7ro2UDPdPg0MS4wT64GZeH/SeN16Mt+zPQt7MH3p1aDX+sT0FeXgH6dfZAjUA53vk2ttS2bT2aj+eGqTChv5INzVI7UILuLeRYdyCfPZgo5GBv/iDRR8OgsHUeycMTvVXI1RTg3A0dGtWRonmYDIs3FntS1h/IY8kdzw5WYeeJfLg6idjg0TcT9KyOo+w6rcOkfjKM7i7FiasG1PATsbdybDmmZ4kb5AL286DM4gLkFD6f7zytYwM45+aR61mP+jUlaFxHgj93Fj+EHryox6S+cvRvI2FDvoQEidG1qRR7zuiYgHwYiHjMX/mhZIPFixczcVGvXj2WPEDfBFnVSNxQNi8JOBrOhUQFWQLj4+OLEiJIkJEIJIFIgu2XX35hv8nKR8OWzJ8/n1mgKFGBYv4osaQkyK1Ly6PhT0xdsBQPSEkRlD1MFkkPDw8mSu0t635AgpjEGYktct+Su7Ui20DLpExiEs3kGqd4QxLmtI/I8kpQPCBlZpMYfvXVV5n4W7BgAYvNpP4jcUhu+jfffJMl3Nxvvl2ajLEDPDGmvycLbr4Sk8csdcKFj5g01Iu9UuulGfFFT6hf/JKE8YM88dRwL2ZZIYsfvd5NGBqjdSNj7GXPtq7sY8no6SUPkusIbs0aoN2O33Bm8luIXbqKzaNvsUKOOq9MQvCE4cwSSGMEJqzYVFQv58oNHOk3ib3erfnf3zPhGD17Ma5+9H2Z1n/5phbzl2dgcFcXNi4fvdZuxbbsote71QyU4s0Jnli4OrPo1Wz0Td7/vu2c0KmZignDX1Zl4pjJAM8VRfW6bdF/wvdswOYNC5+Hi7s/Ogx8A827TWL/J8VewKp549Fz9BeIaF1spS+NDoOmw8UjAOcO/oVTu36Fs5svG+i5XeQrUKgcExGXovMx9+90DO3mgpdGezKr9N9bs5hgI2oFyvD2JC/8sjKDvZ6NoG/qOxKJQt/99G86jhYO8EzQ21a+XnoXo3q74oVRHsjONbBBo1fuLN+wSe9+cQEvPBWC5yfWYQ+35y5l4P2ZF5FlEvP32tS6LFZvxFPG4Zwcgcb+o6Fg6NVxbzxXFyqVBBevZOGld88UxQDaI7xhGzz12v9YvN4vX0+Du5cfhox9lb3ejbgdfQnffzwZY5/7FG27DmbX4imvf4uNK37AttULkZGWDN/AGhj9zAdo393xfV8WZvwUj0mP+WLCMF9mmbscpcHXC5LYg6XAs4/7wc9bhqffN4Zs6HQF+GhOLCaP8MVzY/yh0xcwa+Cif5KLrisZWXq887/bTBROGeHHXPrXYjT44PvYItewPa7F6vHrBg0blPmpASqk5xRg7b487DplFErVfSV48TEn/L5VjaOFr2+jb6lEw0Rim/oyZqX/bYsap64VHwc3Ew2YszIXA9opMClSxZIoaDzBNfvyypTMdSOhAH/s0KFHcwnG9qRXHwKbjxa/3i3IW4QpkXL8s1eLk9eMnULfUrEWHRtRNq8MaVkFWL5Hi3PRxX19Pa4Af+3SslfAta4nYTF/6w5pcehixXkcOI4hKrjHcTzIxUiuQVP3KqdkSOjSa9VoCJuqyL2KrfvJn1/VwAZZOCojkdormPRx6e8LfVgs+tAPczdW3pidF/qLMP6DkhMYHiZLPglAx4F7UFnZv64Ltp2p+AeDiqJXEwWGPFcc4lLZWD0/DC/PfkhmrVKY/bIr3llYefftF5PLNih6eUh4bUyFLCfwmz/wKFE1c5w5HA6Hw+FUeUSV4A0flHD5/fffs3F2yTtHIWq3b98usTzlQ1BYF3lJaSQOCiGjYfOq1Lt9KwpKuiDXpz3I3SwMTv1fbQOHw+FwOFUFUSVI1qCwNgp7o3t7QEAAezkDjUxCI5bYCruicC1KyPz1119ZwhWF0lFirekwdvdd/FFyx38ByrRdvXq13TIUs3iv0BA19HmYbeBwOBwOh/PwoZh8itGnuH8a45ig3ASyAlJyLI2DbAolY9KLF+hNZ5Q7QDz99NN47rnnWH4E5TI4Arf8FaJQKMwGa66qbeBwOBwOp6ogesiWPxpxg4aaowRL05c2kDGIRjaxFH/00ggyApGhSHizGI2iUrt2bVbPUbj443A4HA6HUzURV0zqgyNvuLIFDTknjAJiCr3GVvjPFHIDk3uYXgtLQ97RCABUloZzK+0FE6bwhA8Oh8PhcDich4BabRxGyjK2jzyBNM6xJRTjd+nSJfYq1t9//52Ns0yvuyW3b3a248NJccsfh8PhcDicKomogt7tW5JlrzTIjSvE/gm/CRJ+KpVxnFpTNm3axKx8u3btKnp1LY1b3K1bN5bwQW9KcwRu+eNwOBwOh1MlET3koV4Ed29Skvk4rjTt7+9vVf748eMsvk8QfgS9/ILmxcTEOLxeLv44HA6Hw+FwHgL0NjQSckeOHDHL6L148SJatWplVZ6GgiGRZ+oSplfGxsbGlulVrFz8cTgcDofDqbLZvqIK+JQXivUbO3YsZs2axVzHlP1LgzaTyOvduzf0ej2Sk5Oh0RhfGzhkyJCisf6oLH3oFa0UI1iWN61x8cfhcDgcDqdqIhZXzOceeOmll/DYY4/hvffew+jRoyGRSLBw4ULIZDIkJCSgY8eO2LhxIytLmb00IDQlfowfPx4TJ05k5Wieq6v1++tLgid8cDgcDofD4TwkSOy98cYb7GNJcHCw1cs0QkJCWJLHvcDFH4fD4XA4nCqJqBK83u1hICog2yGHw+FwOBxOFSPt86kVshzPd3/AowS3/HEeKOqdv1XaHld1H4dJH5un21cWFn3ohw2ycFRWIrVX8OzMNFRWfnzTE8/MuIvKyE9veeGDJfmorHwyXo4n3o5DZeX3L6vhh82otEzti0p97L08OwuVldkvOx7DVm7EVdPyxxM+OBwOh8PhcKoQ3PLH4XA4HA6nSiKqoHf7Pmpw8cfhcDgcDqdKIuJuXw6Hw+FwOBzOfx1u+eNwOBwOh1M1EXG3L4fD4XA4HE6VQcTdvhwOh8PhcDic/zrc7cvhcDgcDqdqIuZuXw6Hw+FwOJwqg0hUNQd55pY/zkPn4MUozF27Gzfik+Hl5oxRXVriyZ5t7Z6Ue89dw08b9uF6fBLcnVXo0aweXhrcDSqF3KpsjiYPIz77Gc9Edsbgdk3K3L4GdeQY1t0ZQX5SZGYbsPNYLrYcUtut06ahAgM6OcPXU4KUdD02HsjFwTMam2WVchE+ftYLa/fk4EAJZRxBWc0fnU+vx/Hhz+Pu3qN2ywaNikTo21PhVKc61DfjcP3rnxH322qzMu4tGiJi5nT2rcvMQezSlbj6yVwUaLVlaldELSkGd1YhyEeCzBwD9pzKw7ajeXbrtIyQoX97FXzcxUjNNGDLYQ0Ony/5LRgjuqvQo5WyzG8ZobYN6eJU1LbdJ6lt9vdBqwg5+rdXwsdDgtQMAzYfVlu1rV0jOXq1VsLXQ4K7mbRcDXadsL/NtggJEqFnMwl8PUTIUQNHr+hx4ILBoboBXiI8EynF7JVapOeY/xfkLUKflhL2nacFTl83YNcZPfSOLdoMhVyE0X3d0Kqhih3Ll2/mY9n6DCSk6OzWc3MRY2ykOxqHKSERA6evaPD7hgykZ9luRO92zujfyQXTvrrjULtiLu/HwfXfIjXxOpxcvdGk0xNo3m2SQzf7pNiL+OubERj/3ha4eweb/XfhyEqc3LkI6SkxcHb3Q/3WQ9G617MQS6T/qWMvvIYEA9orEOAlRlZuAfadzceuk/bP/eZhUvRuLYe3u5ite/vxfBy7ZH4c+HmKMaijAnWrSaAvAKJidVi9Lw+pmfxNsw+SSm3vTEtLw4oVK4qmx40bh7feeguVgdjYWISHh+PIkSNsmtpF7XOEspS1xZw5c9C9e3fcC/RK51WrViE1NdXhOrROWndFcvZGLF6a/zdq+3vjm2dGoH+rhvhu1Q78uvVgiXX2nL2KaT8sR0iQD+Y8NwqT+rTH2kNn8PGyDVZlM3PUeHHeX4hPzShX++pUk+LlMe5ISNFj3t8ZOHxOgxG9XNC/g1OJdVpEKDBlmBsu3MjHnL8zcCUmH08NcUPrBgqrsk5KEVs+icR7QRkcgNYbF0Hm4VZq2YChvdF06Swkbz/AhGLq3qNoumgmAkf2Lyqjqh2MNpt/hV6dh5Ojp+HGt4tQe9pENPjuvTK1q3aQBM8/5oLEVD1+XJWNoxfzMbSrCn3aWPeFQLMwGSYNdMalaC2rc/WWDhMinZkgtEVosBTdWpa8PHtte2GEq7FtK7Nx9EI+hnVToU9bZcltC5dh0iBnXLypww8rqW1aTBzggpYRxQ8dHRorMCHSBeejtJj3TxYOn8/DiB5O6Neu5OXaIthHhCe6S5GcUYC/dulwNtqAXi0k6NSw9Mu2n4cIY3tIIbERzO7pAozvLYVOByzfo8PBC3q0ayBG/9blOwafH+WJ1o1U+HtzJn5YkQZPNwneneLDjm17nrbpE7wRUl2ORavS8OvqdITVlOOtST5MCFrStrEKT0S6O9ymhJunsebnZ+HpXwcDJs9BvZYDsW/t1zi+/ZdS66bEX8Wan56GwWAtXk/tXoJtf7wNrwBa7ly07fsiE4MbF7+C/9KxVzNAjKcHqXDnrgELN6hx/IqWCbaeLa0frgWahEoxrq8SV27psXCdGtdj9RjbW4VmYcWi2MNFhGkjnOCiFGHJZjWW79DA31uCqUOdILu3S2D5EYsr5vOIUaktf1999RUTWSNGjGDTJDwkkod1hNjn3XffhV6vx6PCsWPHmAjdsWPHQ23HD+v3ol71AHw+cQib7tAgBDqDAQs3H8CYbq2hlFvf8Gf9sw09m0fgkycHsenW9WpDbyjAn7uOQp2vhaqwzu4zVzFz+Rbk5pX/valDujrjVoIOC1ZnsunzUfmgQzCykxO2HcmF1oZxY3h3Zxy/kIe/tmSz6QtR+XBWijG0mzOOXih+Am8aJseYfq7MWlJuRCIEjxuCiJlvAg4uJvzTV5Hwz2Zcev1LNp2ybT9knu4I/+hlJCzfyOaFvDEFuqwcHB/2HLP0JW/eC71ag4az38f1GT9CczvBoXUN6KjC7Tt6LN6Qy6YvRuuYIOnbToWdJ/Js9h9ZCU9e1mLFTnVRHWelCIM6qnD8krnlQSEDxvd3QnpWAbzcytaPAzs6sbb9ut5oFrsQrWX7th+17bjGZtuGdHbCycv5WLFD2B4tnFUiDOpEbTMeZ/3aK3Hicj5W7ja2/3KMDn5eEnRrocSmQ45bdrs3lSDxbgFW7jdeV67H69lrSDs1kuDQJQN0Ni43JJza1BOzurb+Jzo2lCBfC/yxS8csfdfiCqDVA5GtJdh7To8MCyuhPUJryNGivgpf/ZqCM1eNx/aVm/n47g1/9GrrjDW7jeeAJW0aqVC7mhzTv72DuCRjR8ckaDHjZT+0aazCwdPGvnNzFuOxXm7o0cYZWbmOmyUPbZoD3+AI9B33NZuuFdEZer0Ox7b9iGZdnoRUbi2G9Lp8nN67DIc2fQ+p1PphwmDQ48iW+agR3gGRE78vmu8XXB/LZg5EzOUDqFmvw3/i2OvXVoHYZAOWbTXWuRyjZ8dWr5Zy7DmVz44XSyLbK3D6mg6r9hqPg8u39OwBILKdAqeuGjeoX1s51PkFmLeq+NpJlv0pA1Wo7i/BjfgHfw8V8WzfygdZp0zx8PCAq+sDeNFzOaB2UfseFSz79mGQr9Xh+LUYdG8abja/Z7MI5GjycSrqtlWdy7cTcTs5DaO7tjSb/0T31lj/6QtFwi8zV4NXf1qBFnVrYP6Lo8vVPqkECK8lx8nL5i6T4xfzoFKIUbeGtTAld0eAj9S6zqU8+HtL2YWYUClEeGGUO7tR/m9ZOsqLW+NwNJz3MWKXrcbpCdNLLa+qWQ0u4bWRuGab2fyElVvgXLcWnEJrsmnfXh2RtGmPmYs38d/NEEkk8O3d0eH+C6suxemr5uL75JV8tv1ksbPE202MAG8JTl+zrkN9Ry4jU4Z1c0JmTgEOnSubW4u1rYYUpyzaRjfOEttG+9ZbglNXtVZ1/E3aNndFFv7dZbxBC+j1BZCW4VGbbrS1AkS4dMtc8FyIMbCHhZp+toVu3WoidG1iFHFbT9q+kYZWE+NqrMHMxXvhpgFisQihQWWzYDSuq4Amz4Cz14r7PyvHgEvR+WgarrRbLz5JWyT8CPodn6wzqzeomysahynw7bJUnLpkP9RCQKfLR9y1Iwht1Mtsft0mfZCfl4O4Gyds1ou+uBdHNs9F617PoOOg163+z81KgSY3HbUbdDWb7xMUBpWzJ6Iv7v5vHHsSOo4kOBdlrkDPXNdBqRChTjVrA4yXqwj+nmKctaxzTQdfDzELWyAah8pw5ILWTNzeTjLgg4U5D0X4FY3zVxGfR4z73uKrV6/imWeeQatWrdCwYUP06NEDixYtKvp/3759GDVqFJo0aYLOnTvj22+/ZRY0skqRW/Lo0aPMvWrq9s3JyUGzZs3wxx9/mK1r7ty56Nq1KwwGAxM3v/zyC1sfLXvw4MFYu3ZtmdpOy1iyZAn69OmDxo0bIzIyEuvXr3fIlRsTE4OpU6eiRYsWaNOmDV599dUSXayff/4565+zZ8+WqX0///wz6zNqG6375s2bRf+lp6fj448/RpcuXdj/jz/+eJGLmr6ffPJJ9pv6Z+XKlez3yZMn8cQTT7Dy1I9UPzvb9pN7RRCbkg6tTo+aft5m82v4erLvmDupNsUfIZdJmTu3zUsz0Pm1Wfhq+VYmJgVIBK784Fl8NmEwPFxKdtHag1yxMqmIuWZMSbprnA7wtr6iBvka55VUJ9DbeOHM1xbgvfl3sXBNVpksGpaobyVgd71euPTGDOhzS3+yd6kXwr5zrhUfK0RuVIzx/7DaECsVcKoVjJxr0WZl8lPSoM3IYmUcwcdDzPrvTpr59iUXTtNNy5IAH+MlidxNpdWhmKm2DeRYsjEHZX2WEdom7BeH2la47+5Y1kk3r5OYamDxWARZPsgV17ahAntOOi5QPV1JJIiQYhEHdTfLOO3tblv8xaUW4Nt/tdh7zgCDwbbw8HQRWcVX5eYBmvwC+JSw3JKo5idlfWjZ/3dSdQgsPBdsEeQnsxkTyOr5FNfbcSQHr826g+MXHLdaZabchl6vhadfLbP5Hr7GB5u0JPPjWiCgRiNM+nAnWveeCpHYev8rVG4Qi6XIuhtvNl+TmwGNOhOZqdYPq4/isefjJoaU2md53hauy8/DWjb4e4nNtqGoTmFbSJySZd5JIcLdLAMe66rAF8+4YNbzLnhqgBLuLlUz6eI/K/7UajUmTZrELGJ//fUXE059+/bFzJkzcenSJZw6dQpPP/00E0gkQD777DNWbv78+cyN2q9fPyby9u/fb7ZcZ2dnthxLIbZu3Tom8sRiMRORf/75J95//302n8TORx99hN9//93h9i9YsIAt56mnnmLrIgE1ffp0HD582G69zMxMJqLy8/OZePz1119x69YtTJs2zaZre82aNawMiS5HiYuLY2KNBOCyZcuQnJzM+owg8Uz9fvz4cXz99desb8PCwjB58mQmMKlPhdg9iqns378/Ll++jIkTJ6JTp05MJM+aNQsXLlxgy7lfVsJstfGC7qw0jyNxUhpdLtlq6wtWWrbxqZaseiFBvpj7/OOY2Kc9/t1/Eh8sXVdUTiaVoFaAuagsK/QUTpBlwxRNXoHZ/7brmPeZME1PzgRZXSwFYnnQpmVAE+dYADwhdXdh37pMc1FPLl72v5sLZO6uNssI5aiMI5TYF/mFfWHD3V16HRR9j+vnjHX71VY3qbK0TV3Ceu5l3wrUCZLi22meeLK/M+KS9aUG85uilBmXRckYppC71vi/7XpZuYDaTpSDUE9jI26f1kVu9LKgUoqhtjg/2PLzDMw6XhIkAiz7nqB5tEyBhGSja7os5Gmy2LdcaX6cyhXO7DtfY/uB1sXDH0rnkr03MrkKYc364cy+Zbhw+B8m+u7euYFNS16FWCyBNk/93zj2FObtERCiZyzXZTrPuk7xue6iMpYZ1EHBxN6STWr8tV2DYD8JXhzuBPnDCkITiyrm84ghvd/ij0QXCSESbMRLL73ERNWVK1ewd+9eZpUjQUWEhITgk08+YRYycqMqlUrIZDL4+vpaLXvo0KFs2SSCqlWrxkQNWb6GDRuG3NxcLF68GP/73/+YBYuoUaMGK7tw4ULWHketfrQOIeaQrGsajQY6ipS2w8aNG5l1ktbv7m4MUiZhu2HDBiYIBUhY/vvvv6yt9evXL1PfUr+QQHNxMV7gSJjS8ggSyyTcSPSS6CPIinfu3Dm2/bNnzy5ql5eXF+tnmt+hQwc8++yzbH6tWrXwzTffoGfPnsz6StbLisZQiqgkN5QlusJApu5N6mHa0B7sd6vwWmx/fb96F6YO6Iya/vcm+gRKSwq01fzy1HmQiEoJTC4gc1GpZRzbiNL7wno5pV1ChRojezohLdOAHcfKnsVobJv9NRkqYN+mZuox6/dMZukZ3MkJb45zw2e/ZtiM57rXdTnKvSyX6lrWt3fPs3eY2IuzcvT4KrF+gX21KLoHF133UR9DIpVj21/vYduf70IqU6JlzynMnSyVq6rssVea9qFtIks2QZnDi9Zris5lsg6+OsoZLerJcOh82UYSqAhEj6DLttKLPxIWY8aMYVazixcvMusXWZgIcs2SS5gEhynkYnUEcpMGBwezZZNbmaxVzZs3R82aNZkQzMvLw2uvvcasgAIk2kh8kYAjwVNapjFZ00icmjJlyhT2TYkoJUHbReJJEFhEvXr12Efg9OnTLOmC+igwMBBlxdvbu0j4EW5ubmy7hPWTeBaEn3DBadmypZUVVYD2D7mqySpoSVRUlEPij1zI9rBMLnFRGfeBZUIGDc3C/rexjwSrYKdGoWbz29cPYeKP3MIVJf6EJ3PLJ13hKTy3BMuFrTrCtC1rx4NEl2G0ikhdjQ9jAoI1T5eRXWTxsywjlBOWURpFfSF3vC8cqdMoRIaW9eT4cmmmUZCY3LDoJkQ3p9J6uTz7qax1MrILkJGtw7XbQEq6Aa8/4YYW9eR2h6wRECxzlpY4hR3LnSMIlkRbFj6ap7HTtKHdXTG8p3k2+ZFzari5SGxbBDUli7BcjaFEC5et86osKJRGy3W+xjxzRbD4yVWOWa5tQdbDXmO+QJfh7zL3r6tXEJt34dA/8PAxupXxqB97hc9TVudgodXdXvto2B/Ts09YBlkoBavgpRid2fkZk2hg+zzYt2qKsP+k+CPxRPF8JHBomJCOHTuiUaNGLA6NrbwsUagWkJgZMmQIs26RW3bTpk1FblXBovDdd9+hTp06VnXl8pLT1U0ta+XFke1ycnLCjz/+yAQqWQXJylYW7GU9l+SmpfkltY3E+MCBA4ssf6bQ/rsfVPf1ZJmft5LMx2a7lXyXfdcOtBZxNfyMbaFYQVN0hb4hxT3sN0soJoeyiP28qM+KL5pC0ga5pCxJTNEXlbmVWPy/EJNDAe0Pk+yrxngnp5CayDx9qWi+c4jxxpV9OQr6nFyoYxNZGVPkvl6QubmwMo5A8T/Uf74WSRpCcDrFJ1kixPpRndtJeus6KQYM6KiEXCbCh5Oth/6YP92TJX8s2ZhbStsK960H7RetjbZZu+TvFM6jAHbK1CyuI8Rb6ZmAalxXjpvxuqIYKUI4FtxdHLvBpWUWsPZRIL3pzVTIaE5OL59AytcBGTnCcotxVhpv1DSsTEnsPJqDU5fN3Yct6ytZ8gaJb9PLDiU3xdk51uncqRVkfa5SHG1UbPmz8wl3nxosZo/G4TMlPeUW+/byN8a9locb53dB6eSGoDot4B1Yl83LzUpFVkYiy/p1hMp+7KVkGM9by/hPsiLaisclhNALX3cx4pINNutkawqYt0ewAJpCsxyxSt4XxI+ey7YiuK9Sm6xylHhAsXfPPfccevXqhYyMjCIhQm5eckWaQq5Wwc1amnmcXL/Xr19ncYLkZqUYQYIEH4mc+Ph4ZgkUPnv27GHuTVNrYEmQ5czPz8+qfeS2/vJL4xAZJREaGspc0FlZxRYScsO2a9cOiYnGhAWyypGVjeIQqZ+2b9+OioISZGjdZAEUoP4+ceIEa5utvq1bty7rS9P+IkspbWtCgmPDepBlz97HEoVMiuahNbDz9GUzwbrj1GW4qBRoWKuaVZ0WoTWgUsiw6dgFq7H/pGIxGtexrlNeSF9ejdGieT3zYR9a1Fcwy0V0nLX5JSlNzy7uLSMs6kQokJiqKwrGfljkRt1C7o3bCBzWx2rsPxKG6pg4Np2y/QD8+neF2GSonYBhfWDQ6ZCyy37Mq2n/XbutQ7Mw84ctmmb9l2B9taebVnK6Hs3DretQsDsNC7F+vwZfLMk0++w7bTRX0G/63+G2WayH1svaFl9y28iCYl5HZmwbu2kCT/ZzRu825lbr+rWN/RhnImjtts9ACU8FqF/D/FpF0zRURlxK+a1jUfEGhAeLzcbTq19TzG740YklH580+DId86afc9fymJWPBKCAq7MY9WrJce5ayfuB/qPkKEoYEaDf1fxlbJn3glSmQLWQlrh+dpvZdeXamS2Qq1wRUNPx2Gqrdh/4C3vXfGU19p9YJEHtht0cWkalP/b0QFScnmXmWo7jRxa6GBPxKZCSUcBEY5O6Uqs6JAwpUYniVdlyQ6Qso1ggrLqEWQwfVravSCyukM+jxn1tcUBAAIv727x5MxNi5HKkrFeC3K9ksSP3J8WgkVgicUbJHkKcHlnHkpKScPu27SwqivUjd6QQmya4QUm4UQwcLZeSKaj+P//8w5IfSNA5CiWjkBilZZDLeunSpUzElObeJAsauXzfeOMN5uY+f/48PvzwQyb4qE9MoWzdAQMGMBEoCON7hSysERERzKpI8XrktqVYShKD48ePL+pbgtpHwpkSO8j1S7GBVJ6Scag+7RdyYd8vpvTriHM34/DGgpXYf/465q3djSXbDmFy3w4sY5eSPmgg6LuFCQlOSjmeG9AFm49fwBd/bsKRy9H4eeM+Nij0mO6t4WXDVXkvrNubgzrBUkx9zA2NQuVsrL6+7Z2wfl8us6KQtYQGgnZ1KhbT9KaO1g2VGNvfBQ1D5BgX6cKmV+0qwwBqFQS5bj3aNIHcx5hBTVz7fB6CRvZHwzkfwrd3JzSc+xGbvvrR7KIyUbMWQOHnjVbrFzARWHvaBNSf9TZuL1ju8Bh/xKaDGtQKkmDKYGc0qCPFwE5K9GqjwOZDxrHMyJVEA94KweDExgMaNnDt6F4q1K8txejeTmx67T5jQD0JwFuJerNPRrZRtNBv+t8RNh5Us7Y9PcQFDerI2HhpvdoYx0MrqW0bDqiZsKc2NagtwxjWNgXW7lUX3Tg3HVKjY1MFW154TSl6tFKwwHsal+38Dcf9tXvO6lHNV4SRXaRsCBcau69DQzH2ndWzcdbI0kMDQTuVcXzr/ef1zNI3rqcUYcEitK8vRt9WEpy4aijTGH8Evc3jYlQenhvlha4tnZgl8O3JPsjVFGD74RwzYVczsFhMHD6rRmKKjg303K6Jin3o960ELQ6fcyxxwh5tek9FYswZbFz8MqIv7sHBDd/hxM6FbBgXStzI02SzgaBzs41eBkdp2mUcEm+exp6VX+D2tcM4uOFbHNv+E5p3mwgPnxoOL6eyH3tbj+azgZ4n9FcioqYE/dvK0b2FHNuO5bP20YuU6H8aZ1Bgy5E8NA+TYUQ3BerVlLBvmt54qFjMrz+QB3dnEZ4drGLLbR0hxZN9lbiZoMe5Gw/XK1LVuK9uX8rIJYvXjBkz2JAhJNbIqkcCiixqo0ePxrx58/D999+zYVlImFGCBQ2RQpBbd9u2bUwcbd261eY6KMGDsm/p25S3334bnp6eTACSgKS4OrLakeB0lLFjx7I4OloGubBJBFFSRevWre3G/KlUKmZhJKsZiVCKLyRB++abb9osL2Q2k/uXBOq9Qi5hGk6HsqpfeOEFJrRpmB1KLGnatCkrQ0KU3O/kKidBTuKPEnFoW8miSuKQLJXUZkfc5OWFBmj+5unH2GDPr/y0An7urnhlWE/2ejfi0u0ETPl2GT5+cmDRq9nG9WwLVyclftt+BKsOnoavuwumDuiCib3bV3j7Lt/UYv7yDAzu6sLG5SPrx4pt2UWvd6sZKMWbEzyxcHVm0avZ6Ju8633bOaFTMxWzBP6yKhPHTAZ4flC4NWuAdjt+w5nJbyF26So2j77FCjnqvDIJwROGM0sgjRGYsGJTUb2cKzdwpN8k9nq35n9/z4Z5iZ69GFc/Kh7c1hGu3NLh51U5zFX77FAXpGcbsHKXGtsLEzVq+Evx6hhXLNmQg0OF8Uj0TUOS0Cuq2jdWsJglGgz3xOWKDQa/EqPDT6uyMbCjClOHGdv2L7WtMDOyRoAUr41xw+IN2Th0rrBt56htOaxtNIwGWWQWrcvG8cvFrsqNBzXIzi1A1xYKVi4714C9p/JYZnJZiE4swN+7dejWRILR3aTIzAW2Htfj4EWjuA30EmFSXxlW7tfhdJTjFuWUTGDpNh16t5RgVFcpaISgQxcN2HmqfJYXGoOPXtM2pr87c/9ejcnHnD/uMgEoMGGwBxs6SXg1GwmVLxel4skB7pg81AM0Pj5ZA5dtyLA5RE1ZqR7WDgMmzsHhTd9j/YLn4ezhj06DpqNF90ns/6TbF/Dv3CfRa8yXaNDG/N5hj5r1OqLvk9/g6NYfcO7g3yzmr+vw99C087j/1LF3LVaPXzdo2KDMTw1QIT2nAGv35WHXKeM5WN1Xghcfc8LvW9U4Wvj6NvqWSjRMJLapL2PWyN+2qHHqWrGou5lowJyVuRjQToFJkSrk6wrYeIJr9uU9vGQ4UdV0+4oKKsNov5wqg3rnb6isqLqPw6SPk1AZWfShHzbIzAfDrkxEaq+U+b26D5If3/TEMzPKZuV5UPz0lhc+WHJvcW73k0/Gy/HE28ZwgMrI719Www+bUWmZ2heV+th7ebZjCVwPg9kv3/+XOuQu/rhCluM04UM8Sjx6jmoOh8PhcDgczn/z3b73C3IxU2yhPd55552ixJMHBcXZkfvVHjQUDrnRORwOh8Ph3COiqun2rZLib+TIkejdu3ep4+g9aGig59WrV9stIwyWzeFwOBwO594QPYKZuhVBlRR/lIlrOgBzZUGhULAhVjgcDofD4TwARFVT/FXNreZwOBwOh8OpolRJyx+Hw+FwOBwOqugbPrj443A4HA6HUyURcbcvh8PhcDgcDue/Drf8cTgcDofDqZqIuduXw+FwOBwOp+ogqpp5r1VzqzkcDofD4XCqKNzty+FwOBwOp2oi4m5fDofD4XA4nKqDuGo6QEUFBQUFD7sRHA6Hw+FwOA8azcrZFbIc5bCX8SjB3b6cB8qEj+5U2h5f/JE/5m6snM9CL/QX4dmZaais/PimJzbIwlFZidRewdh341EZWfZ5EKZ8kYrKyi/veFf687aynxs/bEalZGpf4MXvMlFZmTPN7WE34T8LF38cDofD4XCqJmIe88fhcDgcDodTdRBVzZi/qrnVHA6Hw+FwOFUU7vblcDgcDodTNRFxty+Hw+FwOBxO1UFcNR2gVXOrORwOh8PhcKoo3O3L4XA4HA6naiLibl8Oh8PhcDicqoOoajpAq+ZWczgcDofD4VRRuNuX89BpECLH8O4uqOYnRWa2ATuO5WLzwVy7ddo0VGJQZ2f4ekqQkq7Hhv05OHBGY7OsUi7Cp1O9sWZPNvaftl3GHrcu78ehjd/hbuJ1OLl6o1HHMWjWdRJEDrgLkmMvYvm3IzHu3c1w8wo2+y/q3HYc2zof6Uk34eTmg/AWg9Cy59OQSOVlal9ELSkGd1YhyEeCzBwD9pzKw7ajeXbrtIyQoX97FXzcxUjNNGDLYQ0On88vsfyI7ir0aKW8pzcpKKv5o/Pp9Tg+/Hnc3XvUbtmgUZEIfXsqnOpUh/pmHK5//TPiflttVsa9RUNEzJzOvnWZOYhduhJXP5mLAq22TO1SyEV4vI8bWjVQsmPl8s18/L4xAwkperv13JzFeKK/GxqHKSERA2euaPD7pkykZxnMYsmHdXdFp2ZOcHES4Wa8Fn9sykRUrGNtrF9bhqFdnBDoK0FWjgG7Tmiw9Yj9Y7h1fTkiO6jg4yFBaoYemw5pcOic+fHQvpECvdsq4eshwd1M43J3Htf8p87dyn5exFzej4Prv0Vq4XWlSacn0LybY9eVpNiL+OubERj/3ha4e5tfVy4cWYmTOxchPSUGzu5+qN96KFr3ehZiSdlu9/VqSDCgvRKB3mJk5RZg75l87DxZcl8QLcKl6NNaAW93MTuuth3Lx9FL5sf6J5Nd4OlqbXd668cs5GgewhuWxFXTBvZIbfWcOXPQvXt3VBaoLdQmYuXKlQgPd+z1VmUpa4sjR46w+rGxsbgXTpw4gePHjztc/q233sK4ceNQkYQEy/DKGA8kpugw9+90HDqnxsheLojs6FRinZYRCjwz3A3no/Lw/V/p7GY9Zag72jRUWJV1UorwyhMe7EZTHhJvnsa6BVPh6VcH/SfOQViLgTiwbhZO7Pil1LqpCVex7pdnYDDorP67deUANv76Ijx8a6H/pDlo3PEJnNj5C/avmVmm9tUOkuD5x1yQmKrHj6uycfRiPoZ2VaFPG+u+EGgWJsOkgc64FK1lda7e0mFCpDO78dkiNFiKbi1LXp4jKIMD0HrjIsg8Sn9dU8DQ3mi6dBaStx9gQjF171E0XTQTgSP7F5VR1Q5Gm82/Qq/Ow8nR03Dj20WoPW0iGnz3Xpnb9vxIT7RuqMTfWzLx4z/p8HST4J3JPuzYsXe/mD7BC6HV5fh1TTp+XZOBujXleHOCNxOCAk/0c0PfDs5Yvy8bc/9Og94AvDXJG/5epR+PdYKkeHGkKxJS9fjh3ywcuZCH4d2d0LedssQ6zcPlmDzYBReitZj/Txau3NJh0kAXtKpf/EDRsYkCEwe64Nx1LeasyGTCcGRPJyZ6/ivnbmU/LxJunsaan5+Fp38dDJg8B/VaDsS+tV/j+PbSrysp8Vex5qenbV5XTu1egm1/vA2vAFruXLTt+yITgxsXv1Km9tUKkOCZwU64k6bHgvW5OHZZi8GdFOjVsuQH0yahUjzZV4XLMTr8si4X12L1GNdHheZhxaLTWSliwm/VXg2++SvH7KPOe0iv1hSJKubziPFIWf4mTZqEJ554ApWR/v37o1OnTniUGDNmDL788ku0bNnyobVhSFdnxCTo8PMq4/slz13Ph0QswoBOzth6OBda6+sbhvdwwbELefhzSzabPh+VD2eVGEO7ueDI+eIn+6bhCozt58qsB+XlyOY58K0Wgd5jv2LTNSM6waDX4fj2n9C085OQyq1vxHpdPs7sW8bqSkuw4l06uhKuHoHoPfZriMUS1AjvgNysFJzavRgdh7wFicT2DceSAR1VuH1Hj8UbjNaWi9E61n9926mw80Sezf4ja8jJy1qs2KkuqkMX5UEdVThu8ZSukAHj+zshPasAXm7l6EeRCMHjhiBi5puAg9XDP30VCf9sxqXXv2TTKdv2Q+bpjvCPXkbC8o1sXsgbU6DLysHxYc8xS1/y5r3QqzVoOPt9XJ/xIzS3ExxaV2h1GZpHKPHVklScvWo8dq7czMe3r/uhZ1tnrN1tPMYsadNQhVpBckz/LgnxycZOjknQYsZLvmjTSIWDZ9TwchejRxtn/LY+AzuOGvfPuWt5mPWKHwZ0dsHC1Rl22zaoswq3EnVYtM7Yhgs3tGzfkkjbcUxjc98O7eqEE5fysXy7cX0kAmnfDu7shGMXjVYbqn/8Uh7+3WUsc/mmDv5eYnRrqcTGg8Zj4lE/dyv7eXFo0xz4Bkeg77iv2XStiM7Q63U4tu1HNOtS8nXl9N5lOLTpe0il1qLTYNDjyJb57FoSOfH7ovl+wfWxbOZAxFw+gJr1OjjUvv7tFIhNNuC3LUZr66UYPSQSoFcrBXafyofWhlF8YHsFTl/TYeVe4368HKNn/RfZToGTV40dHuxrfDI6G6VFSkYleY+66JGygVUYj9RWOzs7w8vLC5URpVIJX1/fh92MRwqpBKhXS46Tl83dOccvaqBSiBFWw1o4+XiIEegjtVknwFtaZFEhq8FLo9yZZWHWsvK5KuliG3v9KOo06mk2P7RJH2jzchAffcJmvZuX9uLolnlo2fMZtB/4us0yOm0+ZHInJvwElM4eMOi10GpyHO6/sOpSnL5q7oo5eSUfKoWIWSYs8XYTI8BbgtPXrOv4eUng52l+SRjWzQmZOQVWbkNHcWscjobzPkbsstU4PWF6qeVVNavBJbw2EtdsM5ufsHILnOvWglNoTTbt26sjkjbtMXPxJv67GSKJBL69OzrcvsZ1ldDkGZgoE8jKNbDjpmlYyRa2RnUViE/WFgk/gn7Tp0mY8cbcoI4CUomIHZsCOj1w6koemoSXvOyifVtDhlMW+/bE5Tx2boQGWz8ckKuN9q11nXx2Xgj79vvlWfhnp7lrltolk/w3zt3Kfl7odPmIu3YEoY16mc2v26QP8vNyEHfD9nUl+uJeHNk8F617PYOOg6yvK/TwqMlNR+0GXc3m+wSFQeXsieiLux3uv9BqEpy9bi54T1/Tsv6rU836QCEBTPvvjEWdU9e08POUwNfD2H/VfCXMwldphF8Vpkzij1yNv//+O0aOHIlGjRph4MCB2LFjR9H/BoMBP/30E/r06YOGDRuiefPmeOqpp3Dr1q2iMnv27MGwYcPQpEkTtGvXjrkSMzKKn4AXLlyInj17svrkVp03bx4KCgqs3L7kfpw2bZpZ+44dO8baGBMTw6Z37drF1tW4cWP06tUL3333HfLz7ccsWLJv3z6MGjWKtbdz58749ttvodfrS3Xl5uTk4NNPP0XHjh3RrFkzjB07FufPn7e5js2bN7Pt/euvv8rUNurLAQMGsLqRkZHYvbv45KY2Ll68mO0L2lf0/eeffxb9L7T17bffZvuAuHPnDl555RVmCWzTpg2effZZ3Lx5E/cLcufIpCLmmjHlzl3jdICP9UWGbh5EaXXytAV4Z14qFqzORHZucQxWWchIvc3EmIdfLbP57j412HdaUrTNev7VG2HC+zvQiuJsTMSdKY07jmExOSd3LUSeOpO5l0/vWYqaEV2YCHQEuplS/91JM9++5MJpW67FAB/jKX/nbul1KGaqbQM5lmzMQeEpWGbUtxKwu14vXHpjBvS5pcdsudQLYd8518yPu9wo4zntElYbYqUCTrWCkXPNvP/zU9KgzchiZRwlyFeKpDS91fbdSdUh0MbxZ1ov0UZM4J27OgT6Go/RID8p1BoDMrINVsv2cpOwWMOSoHg9tm8t9lNS4X4ioWJJYOG8OxbnBm2faR06d1IzDEVCi9zA7RopsPuk5j9x7lb28yIz5Tb0ei08La4rHr417V5XAmo0wqQPd6J176kQ2biuKFRuEIulyLobbzZfk5sBjToTmam3HWofCWHqP+FYE0hOL+wLCyHM2lbYP5Z1UgrrCOKZLH+5eQWYHKnCV1NdMes5V0zsr4Kb00N0m4oevtuXtNP333/PvIdNmzbFlClTcPt2yftLq9Xim2++KSpP+uLSpUv31/I3a9YsDB48GGvWrEGXLl3wwgsv4OTJk+y/pUuXMvFGYmLLli1MuJF4mDFjBvv/7t27rPzw4cOxceNGzJ07lwm2r74yutR27tzJxOPHH3+MrVu34vXXX8cPP/yAtWvXWrWDRB2Ju+zsYrcMlSPBWbNmTezdu5eJQxKq69evx4cffohNmzbhjTfecHhbT506haeffhotWrRg4u6zzz5jAm3+/Pml1qV1UxvIrbp69WpUr16dua1NhS6xfft21iZq3+OPP46yQP39/vvvY926dahVqxZbJ4lOgvqc2kn9Tf+Tu/zzzz9ngpDYv38/+37nnXfw7rvvIjc3tyieb9myZfjtt9/g6enJ+o9E4f3ASWk8/CxjPTT5xml6yrSuIyqljnGZpM8tbzJlJV+dxb7lChez+XKFs/F/jW2XoIuHf6kCLrhuWzTvPhkH1n6Nn99pjRWzH4eTizf6jJvlcPuE/tGU0Be2XGal10HR97h+zli3X211QS8L2rQMaOIcP36k7sa+1mWa9y25eNn/bi6QubvaLCOUozKOQscTCTRL6PgSjqUS6+VZ19OY1KPj21Yck73ju2j5Je2nvJLrqoRzo3D5pR0PdapJMftVL4yPdEFckr7URJJH5dyt7OdFnqbwuqKs2OuKTK5CWLN+LOTkwuF/mOi7e+cGNi15lT2EavMcc+kX9YXFcZRXaDex1X9C/1jWsew/svx5OItwO0mPn9bkYuVeDbMyvjzCCfKHFYQmFlfM5x6ge/Uff/zBDEakMUgMkuGsJGPVRx99xDTJF198gX///Zd5REkwZmUZjy1HKHN3k+gS4u5InB09epSJBRJdNWrUwMyZM9GtWzf2f7Vq1dC3b19m2SJIRNDGBAUFsf/o8+OPPxZZ0shCKJfL2XwqQx8/Pz/2bQlZsj755BMmnoYMGcKWS4JTEHe0XBIugqCitpGoHD9+PEuUCA42z5CyBQkgsvhNn250V4WEhLB1pqam2q1348YNJvxICJPlT9hZbm5uSEsrdmOQpe7VV19l7aJ+LSsk3MhCRzz//POsL6KiolCnTh1m5SMRTtZZgsQhbffPP//M+kBwUbu6urLPihUrkJmZia+//hpSqfGwILFIySXLly/Hiy++iIqmtIclW0/VpWXCCVbiiqCgwP7FXXQPsSK7V3yEi0dXolWvqQgOa4usu3HMpbP2p6cw5LnF7EJ+7/1n3RelPZ8KNSgBIC2TsjfL5+4tL6JSLqIFBkOpF9oCg+1jwNYDur0+LGExhfVEpfZ7eY5vR9plbFv5960AZQJ/vSwDPu4SDOmiwlvj3fHZwnTk24iHe5TO3cp+XtzP60r3UR+z0QK2/fUetv35LqQyJVr2nMLcyVIHrinG9Zdn3zpW588dGhgMBbh1x9gHUfF6JKQa8OooZ7SuL8P+s2XL1P8vkJ+fj0WLFjE91bWr0WVPHkay6pERjLx7ppBFkAQfaRwhz4AMU6SDyLtIHtX7Iv4EsSFALs0DBw6w3+SSPXPmDGbPno3o6Gj2uX79Ovz9/dn/ERERbEPInUjio0OHDmxjySVLDBo0iG0UCbvQ0FC0b9+e/bYl/pycnJiwJKsWbTS5QKkT+/Xrx/6/ePEizp49i3/++cfqpCeB5Ij4u3r1KmujKdQeR+oRZI4VUCgUzMVKCJbSl19+mbXZkbbYonbtYvcWCUtCo9Ew8UlmYbJYmtK6dWssWbKEiVcfHx+z/6i/yCrZqlUrs/l5eXmsvxyhR48edv83DREgcgstLpZPksKTZ66NtH91OeqUF7nSaGGi+D5ThCdzhcr4f1nJTr+D84eXs5jAtv1fLprvX6Mxfp85ABeP/IsmncaWuhzBgmLZF8rCvrBldXKkTqMQGVrWk+PLpZlGwWRycReLjBfy+xWxo8swPrlKXY1WEAHBmqfLyC6y+FmWEcoJy7BkaDdXDOthvs+OnFPDzcXahUbHky3LnulxKPSZeT1x0TGo1hSUUEY4Vg0PZN+qCqepPaZkZBcgI1uHq9AhOV2P6ePc0aKeHIfsDG3yKJy7lf28UBReV/I1tq8rcpXjlmtLyHrYa8wX6DL8Xeb+dfUKYvMuHPoHHj5Gt3JpCH1hGZYgWO8sLcuEplALG/uv+H+hPzWFh9TNBGuLbnSCnrmCqzG3/4MXfwUPOVP38uXLzGNnKtrofl6/fn3mGbUUf6S3yGBDYWim5clzWhbKLP4Eq5AAWe3EhU/iZFUiV+/QoUPZhkyYMIHd8Dds2FBUnvzUZKUiy9jBgweZpY5ECokSMl2SO5ncrbSB5Jok1yZZnch9aQlZy8iKlZKSwkQgxQq6uBhPHMFsSm2xxNHEDMttdRRH65Fa37ZtG3O7kstapSrbUAtCv5tCArekJ2jqk5LaR/+RmCQ3uy2hfT9ITtNDbyiwisGhAGsiIcXaBEHDXhBUhzIhHalTXii2j2JrMlKKY1aJ9MJpGqahPGSlx7M7RWDt5mbzvQJCmVuHxhN0BIpHov7ztYjBEeJrElOtxYUQ00R1yPViVSfFgAEdlZDLRPhwsrtV/fnTPVmQ+5KN9sdyKy/ZV43xTk4hNZF5ujiGxTnEeOPKvhwFfU4u1LGJrIwpcl8vyNxcWBlb7DyWg1NXzF2bLSKUaFxXwW7ipqeNv7cU8UklH0t0nNUMtE668PeWFI3hR2XIPerqROOkGcyWnZyms5lxahqnZ3vfCse59U00sTB2jspQpqvVuZGqZ1mqTerKEZ2gK4pnI4Rzyd3G+GuP2rlb2c8L4bpCMb+2rite/sa41/Jw4/wuKJ3cEFSnBbwD67J5uVmpyMpIZFm/jpCSUdh/hUkaAsJ0okVcJEFDwgjxlpQlbF1Hz8Rj01AZYu4YrX0CJL2kYiBb/bCGehHjYZKYmMi+AwMDzeaT11P4zxQyqlEYGVkFSXORR5WEInn6yDvpKGXe6nPnzplNk1Br0KAB+01mSBJ25OKkJAmyfFHMnyBGyCpIPmpyS5IwpIbT9OHDh5k1igQQuStJDL700kvM3ThixAgWH2gLSkwgFzEJRnKhmrpO69atyzqJ4v+ED3UkxRcKcXGlQR1pub0kUqlNpdWz7CudTscso4ILnCCXLMXspaen43//+59DbXK03TKZjI3jZwqN6UfC193d+uIVFhaG+Ph49kQh9BdZXEms09OHI5DQt/exhG5+V2K0aBFhPmxBywglsyzciLN+Cky6q0dSmg4t6yut6iSm6ooCjCsCqUyBanVaIursVjNBTdNkFSRLXXmgJ3C6+MffMB9jMS3pBjQ56XD3ru7QcihD89ptHZqFmWdW0jT1H93gLaGgbbLy0HhwlnUo8J4Gtl2/X4MvlmSaffadNj7a02/6/36RG3ULuTduI3BYH6ux/0gYqmPi2HTK9gPw698VYnmxAAsY1gcGnQ4puw7bXDYNvhwdpzX7nLueB5VSzLJ3BUisUSYr/VcSlB1MSR/0EaDf1fxkRZnDQn0aQ9A0k5KGMbG37KJ9e0tntZ/IMkf79ma8jX2bZmCijMqYQsu4U5jkQeMMPhnpgj5tzR8069cx1ok1ET72qMznbmU/L9h1JaQlrp/dZnZduXZmC+QqVwTULN91hTh34C/sXWOMoTcd+08skqB2Q2M4liP9FxWnZ+P2mdKkroxZ6GISrY8Ryt4l0disrvkDUdO6MvYgczezgC13RDclGy7GlEYhUiaqaZ89yvTo0cPupyTUamMsJoW8mULeQvK8WUJ5DpTUSnGCFDZGBhsy6NDQbaWFpJlSZtMWiR8Sb5RhSuLsypUrLDZMUK5ksSORQ1YpEmWkTgUXI1nlKKiRhAnF49GGkbCjeDRKLqBpihmkIV1I2JFYI+FR0jh0FENCLl+yNpLVsG3btkX/UfAjJUBQUgllwtKyyMJGLlZHLX9kOaTkFHJjU5KL0OFPPvmk3XpkQevduzeL5SMhTG5vErq0feR6Nc3KpbYICR/kxrZ01ZYH6mcS35Q95OHhwbJ9yYpKfU8HixB7QxY9culSHCK53KmNJLqpPbQM2lay0JJ7+n6xbm823njSE8+PcMfeU2rUrS5Dvw5OWLE9G/lao9ulGmVk3tWxUeaJtXty8NQQd2SrDTh9JQ/NwhXsrQHzV6RXePta9p6K1T9MxOYl0xDRZjgSo0+xDN32ka+xuDxy1ZCljp7mVS6ODUNE5WiMwFM7F7HpGmHtkZUWz4aHcfUMQoN29h8uTNl0UIOXH3fBlMHOOHgujwXx92qjwOrdanaDpqdtylolYSA8WW88oMH4SGfkqA1saAayBLWMkOOXNUa3E93oUo1DtxWREWK8Md+yceG/F8h161I/lIk+ytYlrn0+D00WzoD2bjrurNsJ/0E9EDSyP06OKc7uj5q1gL0FpNX6BYj+7lc4h9Vi4wPeXrDc4TH+hDH9Lt7Iw3MjPPHXFmN26dDurswFuf1Ijpmwk0lpLD/jDerwOTUGdXXB9PFe+Hur0c08qrcrbiVqceS88WKemq7H3pO5eKK/O7u5kWWrXwcXOCvF2LDXdlC/KRsO5OKVMW54ZqgLDpzJQ0iwlL2VY+WuXBaXRy41entFUroe2YXnxvr9ajaAM+3rM9douBo5WtVX4KdVxjbSDXjTQTUbQ5DeGEICLthPioGdVLgYnY/zUdr/xLlb2c+LNr2n4t/5E7Fx8cuo32Y4EqJP4cTOheg40HhdyTO5rjg5eF0hmnYZh1U/TMaelV+gTqPuuH31EI5t/wkte0yBR+EoBY6w5Ugenh/uhEn9VTh8UYvagRL0aCHH2v15Rf1HGb4k+IT+23wkD2N7q5CjLsC5G1rmJm8eJsOvhdZQOva2Hc9DZDsls4TTOIp0/PZrq2Dj/l2Nrdhry6Ni+VMqjQ9DFAIm/CZIL9jyBpLQIwFIcYGCoYl+UwLuqlWrmG65L+KPEigoY5Ti2urVq8eSGuibIKsaJUSQYCIBR8kSggAiqxI1lIZrIUFGQoQEIgm2X375hf0mixpZwUh0JCQkMAsVxdhRIGRJkFuXlkeZqqZuUBJS1CGUPUwWSRJBJErtLcsSilEkYUkiitpIZlgSflOnTi21Llk0qT+EuD7qC+orW+MU0naT1ZMSOEgwmx4A5YXiC0lQU3Y2ucVJYH/wwQdMdAtQ9vGCBQuYAKQ+osQdavPkyZOZO58suhSIWhZTclmh0fTn/p2Bod2c8dLjHkjL0mP51mxsPmS8YNQKlOKtCV5YsDqj6PVO9E3jp/Vt74TOzVTsyfLnlRk4eqHikxOq122L/hO+ZwM2b1j4PFzc/dFh4BvsNUxEUuwFrJo3Hj1Hf4GI1o4n7XQYNB0uHgE4d/AvnNr1K5zdfNngrO0iX2FDNjgKvcHh51U5zCX17FAXpGcbsHKXGtsLA9Jr+Evx6hhXLNmQUxTLRd9kgerVWon2jRXM4vLr+hycuPzg423cmjVAux2/4czktxC7dBWbR99ihRx1XpmE4AnDmSWQxghMWLGpqF7OlRs40m8Se71b87+/Z8IxevZiXP2oeHBbR/nu97sY298do/u6Mffv1Zh8zP3rrlkM2sRB7vDxlOCVWUlFN7IZv6ZiXKQ7Jg1xZxmqZM2j18IVRlcwFq1OZ2KCBnWmGKqbcVpWTxjexB70poQf/81mQu25x1yZ5fKfHbnYdtR4HtQIkOCNse74dV02EzgEfVNUR+82KjaEC1mzFq7NwvFLxXF8Gw6omcilQZ2pHN2I95zMw9p9uf+Zc7eynxfVw9phwMQ5OLzpe6xf8DycPfzRadB0tOheeF25fQH/zn0SvcZ8iQZtHL+u1KzXEX2f/AZHt/6Acwf/ZjF/XYe/h6ady/ZmJhJiC9er0b+tAk8NUCEjpwBr9uUVvd4t2E+Clx9zxrKtahy5aOwf+qb+695cjrYNZEwYLt2sLhrgmdhyJJ+JxU6N5ejYWM6E4v5z+dh06MEmlt2PmD9b3i1HENy9SUlJLDFVgKZtvQksICCACUDT+zJpBnIFl+WtX6KCMqRYUUNo6JLyZKZyOMSEj+7PsDEVweKP/DF3Y+UcfPSF/qJ7eq/u/ebHNz2xQVb+VxbebyK1VzD2XfPxzyoLyz4PwpQvHHfXPGh+ece70p+3lf3c+KE42qdSMbUv8OJ3FubMSsScaY4/CJeX3D1lG1+3JJy6lG2oNgEyDgljHgshZTTyBmXykhGJPJeW4Vs04gols5JXT0j0JMsfJdNOnDjxv/d6Nw6Hw+FwOJz/ittXLpezQZrJS0eeQcpjoCHXyMJH4WPkhaMxkikenyx8FAZHI6G8+eabzNNKXk3yTkokEhae5ihVUvxRkgq5PO1B7mZhcOoHCe1YW28QEfD29mbj+XE4HA6Hw7lHRA93qBeCYu0pKfS9995jVjwaco3CxCg/gly5lDBi6nWl8DkSizQKCpWncZZpZJSyvP62TOKPkjv+C1BaNL11wx4Us/gwoFG77XniSd1zOBwOh8OpAMQP1/In3Ncp0dLWG8goSdVSe1FCJuVS0Ke8VEnLH6VQ01AmlRHTgE8Oh8PhcDiciqZKij8Oh8PhcDicgkrg9n0YcPHH4XA4HA6naiJ6+G7fh0HV3GoOh8PhcDicKgq3/HE4HA6Hw6mSFFRRyx8XfxwOh8PhcKomoqoZ81c1JS+Hw+FwOBxOFYVb/jgcDofD4VRJCrjbl8PhcDgcDqcKIeJuXw6Hw+FwOBzOfxxRgb13iXE4HA6Hw+H8R8k6vrlCluPasi8eJXjMH+eB8tr8nErb498854zxHySiMrLkkwA8M+MuKis/veWFse/Go7Ky7PMgbJCFozISqb2CyZ8mo7Ky8H3fSn/eTvkiFZWVX97xxhd/61EZeWeUBP9bU3ntP68Ovv8u2YIq6vbl4o/D4XA4HE7VRFQ1Bz2pmlvN4XA4HA6HU0Xhlj8Oh8PhcDhVkgJwty+Hw+FwOBxOlaGAu305HA6Hw+FwOP91uNuXw+FwOBxO1URUNVMfuPjjcDgcDodTJSmookO9VE3Jy+FwOBwOh1NF4ZY/DofD4XA4VZIC7vblcB4OYdUl6NdGhgBPMbLUBTh4Xovdp3V26zQLlaBnSzm83US4m1WAnSe1OH7FWMfTVYT3xjmVWPfoJS3+3pXvcPsahsgxvKcrqvlKkZmjx46judh0INdunbaNlBjUxRm+nlKkpOuxfl82DpzWmJWpFSTF433cUDtICnVeAfafVmPVrmzoy/gygIhaUgzp4oQgHwkycwzYfTIP246ar8uSVhFy9G+vhI+HBKkZBmw+rMbh8+Z90q6RHL1aK+HrIcHdTFquBrtO5KE8KOQitq2tGiihlItw+WY+ft+YgYQU+xvr5izGE/3d0DhMCYkYOHNFg983ZSI9y1BURiwGhnV3RadmTnBxEuFmvBZ/bMpEVKzW4fYpq/mj8+n1OD78edzde9Ru2aBRkQh9eyqc6lSH+mYcrn/9M+J+W21Wxr1FQ0TMnM6+dZk5iF26Elc/mYsCreNtIhrUkWFoN2cE0bGXbcCu42psOay2W6d1AwUGdHJi+y0lQ8+O1YNnzfdbywg5+rZ3QqC3BLmaAlyM1uLfndnIzCn4z5y79WvLMLSLEwJ9JcjKMWDXCQ22HrF/XrSuL0dkB1XheaHHpkMaHDpn3nftGynQu23xeUHL3Xnc/nJtUdsf6NJYDF83IEcDnLhegCNXHOt/fw9gQi8xftxgQIbFpahRLRHa1hPBwxnIzDUu9/i1sr/F4/bV/Ti2+Tuk3bkOlYs3GrQfg8adJ0HkgJs0Je4iVs0Zicenb4arV7DZf2lJN3Bkw9eIv3EUYrEUgXVaod2AN+HmXR0PBVHVdPs+Mpa/lStX4u2338aVK1fwXyMtLQ3bt2/HiBEjHCp/5MgRPPnkk9ixYweCg81PrLJw4sQJ0KudW7Zs6VD5t956C3Fxcfjtt99QUdTwF2NyfwVOX9dj85E81A4UI7KdHGKRCDtP2b5RNqojwZheCuw7q8OVW3o0rC3B6B4K6PQFbDl0A5v9r/UNskNDGZqGSnD0kv2bkykhwTK88oQnjpzXYOWOLITVlGNkL1eIxSJs2Gf7lVct6yvwzHB3bDuci7PXs9CinhJPD/OATpfOlkP4ekowfbwXEyjzlqezm/vwHq5wVomxZF2mw+2rHSTBCyNccfxSPtbuVSM0WIph3VRMEG05bPuG1CxchkmDnLHzeB4u3FCjaV0ZJg5wgU6fzZbD+qqxAk/2d2ZC42J0LhOoI3o4MeFGN8Sy8vxIT4RUl+GvzZlM6A7t7op3JvvgzdlJTHzYgrZh+gQvqBRi/LomHRKxCKP6uOLNCd54b14y9IX674l+bujS0gl/b8lCSroO/Tq44K1J3nhvbjLu3C1dSSuDA9B6w0LIPNxKLRswtDeaLp2F6DlLkbxlHwIG90TTRTNhyMtHwvKNrIyqdjDabP4VaYdP4+ToaXCpF4LwT1+BzMsD55//0OE+q1NNipced8exC3lYvTsHdavL8FhPZ9Yvmw7aFoAt6skxZagrth9R43xUPpqFKzB5sBt0+kwcvZBXJA6fGeaG3SfoYSMHbi5iDO3ijNfHeeCTX9Kg0z/6526dICleHOmKYxfzsXpvLupWl2J4dyfWd5tLOH6bh8sxebALdhzT4EJULpqGyzFpIJ0XBWw5RMcmCoyPdMHmQ2pciM5BnSAZRvY0nhcbS9gntgjyBkZ2EuPi7QLsPVeA6j4idG8iglgEHLpsX6j5ugMjO4vZ+WBJkzoiRLYS49AlA6ITCxDkLULPpiLIpcDBS44LwDsxp7H516kIadIPLfu8jMToEzi8cRYMBj2adXvabt27iVexadEzMBis91V2egLWzB8ND9/a6DHmG+i0GiYwNyyYjBGvroVUpnS4jZwqIv7+y3z11VeIjY11WPxVFGPGjMGXX37psPi7H/RtJUNcigF/7jDemK7c1jMLT48WMuw9q7V5I+rfRo6zUXqsPZBfVMdJKULf1nKcvq5mouDWnWLLEBHsK2Y3j01H8hGdaP6fPYZ2d0FMohY/r8xg0+eu57P2DezkjK2HcqC1cS96rKcrjl3Q4I/NWWz6/PV8OKtEGNbDpUj8RXZ0hia/AN/9kcYsfWev5SNfW4BxkW5YtzcbdzMca+PAjk64fUePX9cbheiFaC0kEqBfOxWzRthq35DOTjh5OR8rdhhNBmT1ofYN6qQqEn/92itx4nI+Vu423tAux+jg5yVBtxbKMou/0OoyNI9Q4qslqTh7tXA/38zHt6/7oWdbZ6zdnW2zXpuGKtQKkmP6d0mITzZuSEyCFjNe8kWbRiocPKOGl7sYPdo447f1GcwiS5y7lodZr/hhQGcXLFxt3G82EYkQPG4IIma+CUfHeQ3/9FUk/LMZl17/kk2nbNsPmac7wj96uUj8hbwxBbqsHBwf9hyz9CVv3gu9WoOGs9/H9Rk/QnM7waF1De7ijFuJOixYU3gcRdG+FSGyoxO2H1Xb3LfDujvj+MU8/L2t8Hi4Ydy3ZBkWxF//Dk44ey0Pv20s7vfEFD3em+yJJmFynCg8Bh7lc3dQZxXru0Xrsov6gcRS//YqJu5s9d3Qrk5s25dvzy06l5yVIgzu7FQk/qj+8Ut5+HeXsczlmzr4e4nRraWyTOKvcwMxEtOBdUeMguxGYgETpu3ri3DsWoHNvqP/W9YVoXNDUYkCvX2ECJduF2DXWeNybyYVwMvVWK8s4u/4tjnwCYpA98e/YtM1wjsxMXdq509o1PFJmyJNr8vH+QPLcHzrHEhk8hKWOxdypSsip/wKmVzF5rl5VsPmxc8hOfY8Ams/+HtRQRV1+1bNra5kkPWtKkI3ipBqEpy/YX4lO3tDz56k6wRaH57kFvLzFOPcDfOr95koHXw9xPBxt30XH9ZJjjtpBuw547jVTyoB6tWim6G524eEnUopZlZAS8hdFOgjta5zUYMAbyn8vSRsumGoAmeu5pm5eGm5ZFFsFKpwuH1hNaQ4ddX8Zk2iTaUQMSugJd7uYgR4S3DqqtaqDrWN+paYuyKr6AYnoNcXQFqOx8XGdZXQ5BmYKBPIyjUw12/TsJKf9BvVVSA+WVsk/Aj6TZ8mYcY+alBHAalEhOMXiwUp3RhPXclDk3D7VgS3xuFoOO9jxC5bjdMTppe6Haqa1eASXhuJa7aZzU9YuQXOdWvBKbQmm/bt1RFJm/aYuXgT/90MkUQC394d4ei+Da8pw8nL5scRCTuyhJIV0Pa+leLUFYvj4VIe/L2lTLzT2XHxRj72nDQX8ImpxgPRz9N4fD7K567xvJDZOC+MfRcaLLNzXuTbPS++X56Ff3aanxd0vMkc67aivqvhB1yNNb/uX44tgEImQrCP7XqhgUCnBiIcvFgs7ixZvteAnafNBTIJanogdBQScfFRR1GrYU+z+XUa9YE2L4dZAW1x6/JenNg+D826P4M2/V63eZ+LPrcV9VoNLxJ+hG/1Rhj3/r6HIvyEN3xUxOdR44GIv/T0dHz88cfo0qULGjdujMcff5y5Lok5c+Zg7NixeOWVV9C8eXN8+umnbP62bdswcOBANGrUiFmo4uPjzZaZn5+Pr7/+Gp06dUKzZs0wcuRI7N+/38xN3KtXL3z22Wdo0aIFnnvuOTZ/4cKF6NmzJxo2bIju3btj3rx5ZRJfV69exTPPPINWrVqxZfTo0QOLFi0q+p+2Z8KECZg7dy7at2/P2vbBBx8gISGB1WvSpAlr1+7du4tcqatWrcLRo0cRHh5epn7ds2cPBgwYwNoRGRlZtExCr9dj8eLF6NOnD+tD+v7zzz+L/hfWRa50agNx584dth/IEtimTRs8++yzuHnzJu4X3u4iduNOtrBypRRO0w3BEv/Ci3Byuvk+S80oKLEOWQ1qBkiwZn8+yqKzyTUrk4qQmGJ+0xFciYHe1kooyNd4lU1MtahTeHMN8JFCJjUu27JMVm4BcjUGJh4dwcdDzNqXZOHaTE4z9p8gNE2hG5zpNhTVSTevk5hqYLGABFlmyA3ctqECe06WPeaPXNpJaXqrvr+TqkOgj8RuPbJIWXLnrg6BvsY+CvKTQq0xICPbYLVsLzcJizUsCfWtBOyu1wuX3pgBfW7p1kxy3xI518zPidyoGOP/YbUhVirgVCsYOdeizcrkp6RBm5HFypTl2LPcT9SPpvvRFOG4EYRccR1DUR3aBcu35+C0hchpFm58kIlL1j/y5y49gBn7zlBiP1hCsY+m52lJ/U19a3pekBu4XSMFi4d1FIrFo76jeEdT0owGXni72j5m4+8C89YbmAXPUIIBNDULRTGASrnRDUwxgCevO37hy0y9DYNeC3efWmbz3b1rsO/0ZPNjW8CveiOMeXsHmvd4FmIbajMrLQ75miy4eARh36pPsPjDNljwTmNm9ctOT8TDokAkrpDPo8Z9bzGJkEmTJuH48eNMrJEoCwsLw+TJk3H27FlW5tixY/Dx8cGaNWswbtw4nDx5Ei+++CITLGvXrsXQoUPx888/my2XRMuBAwcwa9YsJp769evHxIqpALp16xaSkpKwevVqJmp27tyJn376iQnRrVu34vXXX8cPP/zA1uEIarWabYuHhwf++usvrF+/Hn379sXMmTNx6dKlonK0rdHR0fj999/x3nvv4e+//8Zjjz3G2kjbHxISwgQXic53332XzSeRaCpeHWHp0qV4//33sW7dOtSqVQvTpk1DTo7R3TNjxgzMnz8fL7zwAvv/iSeewOeff84EISGs65133mFtyM3NZX1PLFu2jMX1eXp6MlFNovB+QBYCgtyfpuTlm/9vXgc26wjTwv+mdG0qQ3SCHlHxjrt7CSel8fSgGDWb61Jat48sC/bqkEVOWK7GRqybJq+AlXEEoZy9dZVUh9ZjuV62TRZ1KHbq22meLP6PhEFpiSS2oJskCTRLqN1Cf5VYL89QQh8Z61FfWm5/aX0goE3LgCbO8WNb6u7CvnWZ5m5qcvGy/91cIHN3tVlGKEdl7mnfFu0nsc3+MpYx7zNhuqS+8PUUY2RPF9xK1OLctfxH/tx1KuUYt3leFPadusS2WZwX1aSY/aoXi/+LS9KXmkhiiqJwO/MsDJnCtMLaMMnIVlN7HFtHNW/g1aESFv+XlAGHE0kIEmiEXGl+rMoUzsb/82yHaTi7+0Pp5FHicjXZd9n3kY2zkJt5Bz2e+AadH/uMJYes+2k8tPn2k+g4j5j4I5Fx4cIFfPPNN2jdujVCQ0OZ+Kpbty6zwgm89NJLqF69OhMxJD7ICkjCpXbt2iwWbtSoUUVlY2JimPCieDWyUFGdiRMnMuuX6TIJsvjRcml9JAblcjmqVauGoKAg9O/fn4khsuI5Kv4o0YIseSTgaL3UbsI0EcVgMLBtpLYPHz6ciai2bdtiyJAhrN7o0aNZkkdycjJcXV2hVCohk8ng6+tbpr4l4UbbT+t5/vnnWfuioqKQnZ3NrHzUNrKeUjup3WRBJRFNolNYF62fPhs2bEBmZiYT6PXq1WMCncSii4sLli9fjvuBjXhlM2w96YvKWKdWgBjV/STYVUIAuj3Kui5H65RWxuDgdbq0rDtbyynrNqVm6jHr90ws3pANd2cx3hznxiyXJbfJGJtk+rG3Tnvbam/7BGt9efZReRHRxthbF5ljSi3jWINK3y7r5ZSnL8ii9cY4D+gNBZj/TyazDD7q527p55eNvitlmZY1KBP462UZ+HVdNtxdRHhrvDtLqnCofbj/x2xGDrBspx7rjhjgogTG9xAzd7gjFBTYF9qiclq59HrjflS5+qD3uDmoHtYRYc0HodfY75CZGoNrJ9fhoSASVcznEeO+J3yQm5TEBYkJ04s6uRZJGJIY9Pb2ZmVM63To0MFsOWQZI0sXcfHiRfZNYsYUrVYLNzfzjD0SPgKDBg3Cv//+yyyKtF5yy9JvEoKO4OXlxdZJwpPaQGLy8uXLRYJPgLaHRJOAk5MTatQwmswJEnuC6/peINEnIGy3RqPBjRs3WF+Qu9sUEt9LlixBamoqs7SaQtuTkZFhJYTz8vKYoHQEcoHbg7KTTRGsGhTnYuvJ2PIpnBCefI1P4gU2LBHm5RvXkbJs0ku3yjh+Cq1fY9tSUGSVKcGaZdoeqzp5huIyJVjmbC3XZvtKWI4wbcsiVtY6GdkFyMjW4dptICXdgNefcGMZpZbDwggM7eaKYT2Kz2XiyDk13FwktrfVhmWvqK0aQwl9JC7KEKZ9VFI/EuRGryh0GUaLiNTVaAEREKx5uozsIoufZRmhnLCM0ij9OLKxbzWmVsHi7RashJZZ1RRT+PwIN2bd+vq3jKJwgbK0rzKeuyX1nUPnhWV/F04LfWt5XlyFDsnpekwf587Oi0MlnBem5BVqWUuxKFj8hP/vhWyN8YPkAqTnFGBcdwnqVRfh/M3SlSUlZBAU32eKYPET/i8r8kLLYfXwTmYPUv41m7JlpsYXe88eJAVVNPXhvou/kuLpaL60MHpcEEOm4tBUTBFkGbNcJrlVnZ3NL7Jiiydv02WTeCPX8qlTp5jLmMQnCUpyMZOVsTTIUkcWSFoOxQt27NiRxdNRLGNJbS2pXRWBrWVS35TU50KfCv1u+R+JSXKDW0Li9X6QmlnALA4+7rQdxRd443RxjI4pwjyKOYpLKZ4vBItTYLgp9WtJcD5aV2KMjD2S0nQsyYEC5U3x9zL2X7yN+KiEwvhAf28Jyza0VScvvwB3M/RWy3V1FrNEElvLtUVymp71n58HLaf4jiEEp1vGfpnGNFF8FWUJF9cpjmmim1DjunLcjKcbW3HHCdvj7lLysbzzWA5OXTF3gbWIUKJxXQV7ODY9NCkJIT6p5CB+6suagdbnEvWtMIYflSHXr6uTmCWRmC47OU1nM6uzvGRfNcY6OYXURObp4huVc4gx0SP7chT0OblQxyayMqbIfb0gc3NhZRyB4jjZvrU4RoRpW+MjCjGktP9vJdqqU9wZNNzL5MGubDnf/ZlhNm7io37uUpwetY3c2aYIx7jNviuMraQyZueF0HeF50WTunJEJ+jMhHLReeHq2DU+LZuutwXwdDEXwZ6F9oKUzPKZ/sgiXzdIhIS7BWwdRduWZvx2dXAUFTfvGhCJJchIuWU2P7Nw2tOvTrnax8bxo3u7zlog0xAyEpljiW6ciuG+S15KLMjKymLWPAESJzTGHFnfbEFuRxJoppw/f77oN7lwBTFWs2bNog/F09GnJCi2j9yhZBEjlyi5M8mlvHGjcYiG0iCLHyWv0DLInUyJG2QtE7apvDgyaGZZINcyCVDqY1MoFpHcve7u7lZ1yDJLSTVkgRX6kyyi5K6nmExHIMuevY8llCV3I97Axv4ypXEdCXsSv5VksHnToYDrJiHmArZxiJQJlTSTIGqVwihyyjK0iykkHK7E5KNlfaXVOH45agNuxOXbvGkn3dWhlY06lDhCAz4T56Py0DRcaeaKaVVfwcTmxWjHkiqo/67d1hUF65uOV0YWr+h4a+VDfUSWCrJSmNeRseQC6lvKDnyynzN6t1FaDZpLUIxTSZCIiI7Tmn3OXc9jopaydwVIrFEmNf1XEpQdTEkf9BGg39X8ZEWZw0L91g2L20p92jRcYXfZ5SE36hZyb9xG4LA+VmP/kTBUx8Sx6ZTtB+DXvyvE8mLhGjCsDww6HVJ2HXZ4316N0aJFPfMbYosIhXHfxmltiit6IKAyZnXqyZkwFBIVGoXK8dQQV1y/rcWMxellFn6V/dxl58UtHTsPLPuB+o4eaixJFvrO6ryQswemovMi0gV92hZnqhL16xjrxNo5L0xhw9kkA+HB5tf9esEiZoWlxI7yQCI5spVxgGdT6vgbv5MKE2tKQypTsMzb6PNbze5rN85vZRY63+qNy9U+ihk0LncbyygWiL12CLr83IeX7SsSVcjnUeO+iz+yjkVEROC1115jGa3kQvzkk0+YGBw/frzNOpRUQe5USqSgxAkSbRQHaCr+unXrhg8//JAlcdy+fRu//PILS+Ywda9a8n/2zgOsqev949/shL2XOEFxi+Lee+G2arVqHbXW0dba8e/81W7b2uGota2727q34t4TN+AAREEQ2StA1v95T0hIQoBgUbGcz/PwhNzcc3Ny7vredx1yYdI2KQGE6uqRGCJhQy5lW/Dx8WFxdbt372ZCiSyHc+fO/dcuXLKsUWIK/Y7KgFzOZKFctGgRE6wUI0lW0j/++IONrUFs0vfS/qD4Q3KJkygkUXzp0iW2nJJSjhw5UuEs5Iqw73whKxY7sa8MDWuJ0L+tBN1bSrD/vIqJL3raps/tTXRI2DkVggPFGNFViqCaIozsKmXvd58x3we+7vrD2zLrryJsPZyLejUkmDXahVnDRvR0wIBO9th+NBeFKr0riQpBO9oVn/xbDuWyOnQTBzmxG+3zg5zYe5pBwcDOY7ls9orXJ1BtNRn6dbTD2P76wru21vhj2zmhRB0/EV4c5sBmg6BafX3a6Wvx0fhRED0VgnZQFPdvx3ElWjeSYWxfOzSpK8G4vnbsPRWJNtw8d51UonOwjG0vqLYYvdroiz5TTcCrMRXzS1FNv4iYAswc5Yrure2YmKYizOTS23c610zY1fYtFganriiZaKFi2B2aK9gf/U+JCaev6vuamqHBkfA8PDfQme0XEn1vPu8Oe7kQO45YD0y3FXLdurRrAamHq3HZzc9+gN/ogWi6+EN49u2Cpkvmsfc35i00rhO9YDlkXu5os305E4F150xC4wXv4O7ydTbX+CO2H8tD3RpizBjpxGaZGdbdDv06KLDjWB4K2b4VsMQDmtXEwLYjuWjbRI7xAxzQNEDCXun95kN5RmE8aZADS36g7VB2Om3D8Odqo/Wqqp+7O47rx276cAc0rSfB0K4KNisHnS/GsfMzH7vtx5TsAWxcP3t2Lj3X3569pyLRxvPihBJdgmVsew1ri9G7jRyTQum8KGR1GG3leISWJWUM7yhEPR+w2n0k2iiTl76HXMJUCNquAsYwEpXUPrievhZgbS+gTQMBQtuSiNYh2vZDD616zUDy3cvY99scVsLl7J6FuHR4BSvjQmVaCvNzWCFoZVESh620HTAXuVnJ2LnyRbbd6+c24sCfb8CrVgvUbtwTTwJdNc32feRuX5FIxEqhkOgi1yqJJCpNQokWwcHBOHr0aIk2JBZJzFHyAYk+EnuUyUuZvQa+++479kfJF2R9I9FHCQqUGVwaZOUjyx1lwVLpFRI7FPNHWb+2QJm9lLxCmbSUVEGJI7RNsmpduXKFJXI8DJQIQqVtqGwLZSF7exc9qv0LKBuaEk1ozFJSUljsI40VZe8aICG4fPlyJvSWLVvGxpoKTlMmNmVpN2nShO07siQ+Km4laLFmdwH6tZVi8gAZi6XZfqLQWNOLCrzOHKbAX/sLcLZoCih6pUoClAnYtqGYWRT+2FfAZggwxVFReoyPrUTGFmLJ3xkY3sMBr4x1RXqWBn/vzcbuE/obQh1fCd6Z4oZfNmay6dkIeiXPOomRLi0VzKLw04YMnCkq8GxwPX29Ng1j+jpi9hgX5ORpWdHojSYC0Raux6nx06YcDO6swIwRDsjI0WLDQSX2FWXl1vIR4/VxTixh4+QV/Q2WXsWiXDZ1G5VwIasLFcM9F1V8A955Ih85eTp0D5Gx9ah/Ry4UYNsx2wvZmvL972kYP9CZCVx69rgRV4glf6WZxaFNHuIMD1cRXluQzN7TTXD+qlRMCHXGlGHOrCYiWfNoWjhTV+DKzRnMEktFnam0y+0EFWtny+weZeHUsgk67P8Vl6a+jfi1m9gyehXKpKj32hT4TxrJLIFUIzDxn13GdrnXY3B6wBQ2vVurvxexMi+xC1fjxrxFFfr+qNsqLP0nixV7nj3aiVno/tmXi71F07uRUH5rogtWbsnC8aLp2+hVLM5m1qnOwXJ27C3fnIWzEQXGgtsujnpr3evjS2Zmbjmci61FYudpPnepKPmyDTms2PPMZxzZ2K3fn2fMVq/lI8Kb451ZwsaJounb6JXO277tFKyEC1nIV2zNNhY+Nzw40blARZ1pPQo1oPJHW49WLFM1LhnYcFyLrk2FeKYzTY0H7L+kw5mirFwfV2B8TxFL2LhiQ5yegeMROuQV6Is6twsSsP/Do3U4erVi41gjsD36TljECjbvWTOLZfK2H/gmWnSbwj5PSbjGMnS7j/4cQa1H2Lxdn9otMXj6GjarR9ivr7Bi0XWa9Eb7QW9BKKxAMULOv0agq64VhjlPhNeXWp8SrSrwzUx7PP+/J1dvqizWfOyD6fMf0h/0GPjpbTeMf8+8FmdV4rfP/LBD8ugs2P+GUNV1TP3kAaoqKz7wrPLn7bTPU1FV+eVdd3z+9797EHlUvDtGhG+3VF0JMHfoo3enJkZdrJTt+DYMxtMEn96Nw+FwOBxOtUT3FLpsKwMu/oogt7Jh1pHSoGQS0/IqjwIqgUMu19KgMjL79u17pH3gcDgcDofz34WLvyKoKDPVyCsLW+sB/htIYJbliacYSg6Hw+FwOP8e3VOYqVsZcPFXRGUkWVQGZWUrczgcDofDqTx05c658t+Eiz8Oh8PhcDjVEl01jfmrnr+aw+FwOBwOp5rCLX8cDofD4XCqJTru9uVwOBwOh8OpPui425fD4XA4HA6H81+Hu305HA6Hw+FUS3Tc7cvhcDgcDodTfdBxty+Hw+FwOBwO578Od/tyOBwOh8OpluiqqdtXoCtrLjEOh8PhcDic/yjRMTGVsp2AevXwNMEtf5zHypzFOVV2xL9/2QGdBx9GVeTYtm7435pCVFU+fl6KaZ+noqryy7vumPrJA1RFVnzgiR2SIFRVQlXXq+zYGcYvf/MiVFXkw17B27+UPW/8k2L+NDmGz76JqsqmJfWfdBf+s3Dxx+FwOBwOp1qi01VPty8XfxwOh8PhcKolumo6yy0XfxwOh8PhcKolumqa8FE9JS+Hw+FwOBxONYVb/jgcDofD4VRLdNzyx+FwOBwOh1O9xJ+uEv7+DVqtFosWLUKXLl0QHByMadOm4e7duza13bp1K4KCghAfH1+h7+RuXw6Hw+FwOJwnxNKlS/HHH3/gk08+wV9//cXE4AsvvIDCwrLLeyUkJODjjz9+qO/k4o/D4XA4HE61RPeELX8k8FauXIlXXnkF3bt3R8OGDfHdd98hKSkJe/fuLbUdCcQ333wTTZo0eajv5eKPw+FwOBxOta3zp6uEv4clKioKubm56NChg3GZk5MTGjdujLNnz5babtmyZVCpVJg+ffpDfS9P+OA8cYJqihDaQQofNyGy83Q4dkWFgxdUZbZpVV+MPm0kcHcWIj1Lh33nC3E2Sm22jperAEM6yhDoL4JGC0QnaLDlWAFSsyo+o6FCLsSMSfXQraMnFHIRLl3LwKLl0biboLR5G5+83RjKfA0+//662XJPdylmTQ5ASLALpBIhzl/KwNJVMYhPtG3bAX4C9G4pgqeLALlK4Mx1DY5f09rU1sdNgOmhYizcqEJGrvlnfu4C9GstYq8FKuDiLS0OXtKwsawIjetKMLybHXw9RcjO1eLg+XzsPV32jAdtG0sR2kkBDxcRUjM12HUyHyevFJit07GZDH3by+HpIkJaln67B85VbCaFJvUkGN7DHn6eYmTlaHHwnBJ7TpU97m2byDCoix373hTq2/E8nLhs3rfWjaTo39EOvu4i5OXrEBGrwoYDOcjKfbjZNOU1vNH14nacGzkLaUfOlLmu35hQBL4zA3b1akJ5OwG3vv4ZCb9uNlvHOaQpGn35FntVZ+Uifu1G3Ph4CXSqss+7p2n8Tty4gyV7TiP6fhrcHBR4tkMzTOwaDIGg9Bv1kcjbWLbvLG4lpcLZTo7ezQLwcv/2sJNKjOvEJqfju50ncC4mASKhECH1/PBGaCf4uzujItSvIUTfNmJ4uwqQo9Th5DUNjl7RlNmmRYAQPVuK4eYoQHq2DocuqRF+0/yEDKkvQpfmIrg7CZCVp0P4DQ0OXtRA+xCHnlwqwMRhHmgf7AC5TIiIW0qs3PAA95LLPk6cHUWYPMIDrRrbQygEwq/lYdXGB0jPsv773F3EWPheLWw7mIG/d6bhaaRXr15lfr5//36ry8nCR/j6+pot9/LyMn5myeXLl5m1cP369bh//371tfylp6fjn3/+Mb6fMGEC3n777cf2/Y/7+x4F1H/6HY+b2t5CTBssx/10LVbuzMf5G2oM7iRFr5Dii60lzQNEGN9Phut3NFi5Ix+3EjR4ro8cLesXP8u4OAjw6kg72CsEWLsnH+sO5jNx+dJQBSSiivfzwzcaoUcnTyxbE4NPv4uCp7sMiz9rAUf78p+f6F7zygsBrL0ldEH9/tMWCKxnj2+W3sTHC6Lg4S7Fkvkt4OhQ/rb9PQR4rqcYDzJ1+OugGpdjtegTIkKXpuWf2l4uAozvJYZIWPJm6OoAPN9XDLUaWHdYjRPXNOjQRIiBbSs2ePX8xHh5tCMSUzX4cUM2Tl8rwMiedujfQV5qm1ZBUkwd6oBrsSosXZ+N63fUmDLYAW0aS43rdG4hw+TBDrhyS4XF/2QxYTi6tx0GdlTY3rcaYrzyrDOSUjRY+k8mTl/NxzO97TGgjG2ENJRi2nBHXIsuxJJ1mbh+W4WpQ52YoDFA/894xhlxiWosXZ+FjYdy0aiOBG9McIH4IY49ub8P2u5cCYmLU7nr+gzvi+C1C/Bg33EmFFOPnEHwyi/hO3qgcR1FXX+0270KGmUBwsfOQcx3K1F3zmQ0+f79CvWrKo/f5bgkvLx6B+p4uuDbCf0R2rIBvtt1AisPhZfa5lBELF5dsxMB3m5YPHkQpvRohS3nIvHxhoPGdZIysvH8jxuQkZuP+WP74oMR3RFzPx0vrdiKfJX5w2dZ1PQS4Pl+EjzI0OG3MBV7sBrQToxuLUr/gU3rCDGmhwQ347VYG6ZCTKIWo7tL0bxe8bneqYkIo7pLkJyhw69hKuwPV6N1kBjjepV+PS2L1yb7oGNLB/y6JQWL1ibBzVmMT171h72i9OsLib0PZvqhQR05lv2VjJ/+foCG9eT4cHYNiEppNnu8N+wVD3Fy/Afcvkql/mFJKi2+vhEymQwFBeYPRUReXh7eeOMN9lenTp2H/t7/hOXvq6++Ypkuo0aNYu8XL14MkejxHUiP+/seBe+99x40mrKfOh8FA9pJkfBAi9/D9Ad51B0Nu0D0aS3FkYsqqKx0aVAHGS7dUmPzsUJjGzs5MLC9FBdu6i/A/dtKoSzUYelmJQzX5LSsfLwQKkdNbyFi7tluvmoS5ITO7TzwxrwrOHVe/1R6+Vom1i1vh+Ghfli77k6pbQPq2GPO9EA0qu+I/IKSP6Z7J0/U9rfDhFlnEXsnjy2LjsvB+hXt0bOzJ7bsTiyzbz2DRUhK02HjMf22b93TgLRcl2YinIzUQm1l/Gh82zUUsrbWPic6NxWhUAX8cVDNLH03E3RsX4S2FeHIFQ0yLayEpTGkqwJ3ktRYuU0/p/O1GBUTmyTS9p/NN+4bU4Z3t8P5yEKs26cfDxKB9nIBhna1w9kI/T6n9uciC7DhoH6dqNtqeLsJ0aO1HDtP2GYxHdrNnvVt+ZZs9v5qtAoikQChne2w70zxcWPKiJ72OBdRgL/Dco2/hx4whnWzw5lr+mN4YCc7XL5ZgF93Fs9jTQLp/amuaNFAyn6bTQgE8J8wDI2+/D/Yem8J+mQuEtfvRuQbX7D3KWHHIHF1RtC8V5G4bidbFvDmNKizc3FuxExm6Xuw+wg0ynw0XfgBbs1fhvy7ZR9zT8P4LQ07g4Z+Hvj82T7sfaeg2lBptFhx8Dye69wCcknJW9+C7ceYpe+T0XoLTrtAf2i1Ovxx/DKUhSoopBL8GHYWDnIZfpo2hL0narg54dXVOxARn4xWdf1sGrs+IWLcS9Vh3SG9Be1GvJaJph7BYhy/qrF6XvZrI8aVGC22n9IPLIlAhUyAvq3FuBxTyB4ye7YS40a8Bn/sL7bMJaQU4rVnZAisocGtBNuve0F15WjbzAGfLE1AeIT+PIuIzseyj+pgQFdnrN+TbrUdicWAmnK8/Gkc4pP0+yo2vgAL362FTq0cceSc/ngx0L+LM/y9H06cVqVSL/tLseyVh1wuN8b+Gf4nSPgpFCUfpD799FPUrVsXzz777L/o7X/E8qfTmduzXVxc4Ojo+Ni+/3F/36OA+k+/43FCIoRcspdjzO8SF2+pmbuhrl9JQU3uDi9XIS5Ha0q08XQRwsNZfyK3CBTjdITK7AZ0N1mLD1flVUj4Ee1auSJPqcGZC8XuiIwsFS5ezUD7ELcy277/WkMmdqa/cQHpGSVdJUdPpeClNy8YhR+hUuuPZ3IBlzd+dXwEiLxj/nuuxWnZ+NX2sn5Rq19DgO4t9CJub7h19RdYQ8huSKYu3mu36QYlQKCfbZcNstI0qCXBhRvmN+vzUQVQyIQI9C95wSc3vo+7yEqbQni7idi+Jxaty8b6A8VjRtAN01arLvUtqLYE4VHmT9YkTKhv9WuW1jcxLly36FtkAbzdxfByE7HbSERMIQ6Hm7ufk1L14+zlavtDolPzIDT94SPE/7YZFye9Ve76ito14BBUF0lbwsyWJ27cA/v6dWAXWJu99+zTGcm7Dpu5eJM27IZAJIJn385P/fgVqjXMJduzST2z5X2aBSC3QIULsSXFbWTCA9xNzcLYjs3MlpNQ3PF/E5jQo/vM/qvRGNa6kVH4EU38vbDv/ck2Cz86b+v5CnHttvm5dzVGw87bOj4lzy9XBwG7vpVoE6uBh7OQuXgdFGAPSVEW14P76TrmVm5Ys2K3++BGdlAWaHExsvg8y8rR4NpNJXPnlkbLRvZM9BmEH8He3y9EqyZ2ZuvSfp841ANL/0hGdcW3yN2bnGw+BvTe29u7xPobNmzAiRMn0LJlS/ZHZWGIQYMGsTjAp0783bhxgwUutmnTBk2bNmX+c/JpGzh69CjGjBmDFi1aoGvXriwbhixV5K7ctGkTzpw5w2rdmLphKYiSBodSqE1ZsmQJy6qhbBk6oX/55Rf2fbTtoUOHsro5D+v23bhxI/r06cPStek7aJuUxUN+eTLTUn+o/+SrN23/2WefYe7cucbf9/PPP5cQtWWRmZmJ999/n9UJouwfCh6l92RSpu3Q7/v666/N2mzevJnVFMrJySnh9t23bx+zpNLnzZo1w4gRI9g+qExIqIlFAjzIML9YpWTq3xtu9KaQdYco0SZDZ2zj5iRgT8QUEzOymxSfTbPH1zPsMTVUDmf7ij/l1a5ph3tJSmgtNGNCohK1/M0vZpZ88m0UZv7fRUTftm4qy83T4GpUFvtfLBYwS+H7cxoiPbMQB449KHPbro50ExYgxSKGMS1b/969SAhbkpCqw3cbVDhyRVviN7F+iPQ3G8vYyLwCIL9QZxTY5UHxehKxAPfTzL8kOV3/nkSeJRTjRdwvutkXt9GYtSExkFp0nNjJBcwN3KGZDIcsRENpeLoa+lb295j1zUNsJkSs/R4asXX7cnHRQry2DNK7dBIe2G5dV95JxKGGfRD55nxo8sr/XQ4NA9hr7s3bZsvzouP0nzeoC6FcBrs6/si9GWu2TmFKOlSZ2Wydp3384lMzmZWvtqf5w2ytopi82yklLVbX76WwV5lEjNmrtqPte8vQZd5yfLX1KBOT7LvTs5GdXwhfV0d8vvkw+7zNe8vw6poduJ9RbKUsD7o+sfM20/z8MpxvnlbOL4rnJUpt4yJAfgGg0erYuWuKQgooZPrvrQj+3lLcT1GViBVMelCIGt7S0tv5SHHvQUnrbNIDlVk7slS+PMEHx8OzccFEYFY3t2/Dhg3h4OCA06dPG5dlZWUhIiKC6SFLKAN4+/bt7P5Nf2QJJEgzVMQaWCXEHwmUKVOmMMsTiSb6Yf3798eXX36JyMhIXLhwAS+++CJCQkKYuKIfS+tRbRxyVw4YMICJqmPHjplt197enm2HtmfKtm3bmMgTCoVMRP7555/44IMP2PKJEydi3rx5+P333x/699y7dw+7d+9mO4MKN5I5ePDgwUyUkWoncUffQbGKBqgPZH2j3/faa6/hhx9+YKLUVki80cFCwnbPnj1455132IHx999/swDn4cOHY+fOnWaCkkRu79692YFnytWrV/Hyyy8jNDSUjcm6devg5uaGt956q9y6QxWBnnKJfItNFhS9l0vLamN+RSpQ6YyfOyj06wzuKIWLgxBrd+fjrwMF8PcUYvYIBaQVDHZwsBMzy58ltKy8OJWYOBv9owC+/KAp1ixujVbNXVjCR2p62WMtl+h/JyVjmELuWv3n1ttl5wHKMjZtaJdvJaabvktmo4fGTla0rwrM95XhPQl0SxRy/TJy2Zu1KXpv2P+mcWcL57rh+VAHJCRryk0kMX5P0XcrS+kbxWKW+D1FfcsvMBezhvfWfg/h6SrE6N4OuJOkwpWbtp8/qvRM5CfYHswtdtafx+oscyFCLl72uZMDJM6OVtcxrEfrPO3jl1N0QXGQmV9A7Ire51pecChunDKlKMZt7S4W87dkyiBM6d4K609fw//+2W+2zsKdJ5CcmYsvx/XFhyN7IDIhBS/8vBl5hhOvHAzXNcN1zoDhPLbotnkbVSltJGBhGZejtejQRITWDURM9NGD2rM9Jewhr6LXPTuFEMr8kk+HtM8pAa7UdnIhlEor7fK17DMDg3u4MMvfqo164V1ds32lUinGjx+PBQsWMK1A2b+kAXx8fNC3b19m5Hrw4AHy8/XXttq1a5v9GayDfn5+FfLeiauK+CPR9dxzzzHBRpC1bPny5bh+/TqOHDnCLGIkPoiAgABW2DA1NZUJJvKTSyQSeHqWDKgn0UPbpmKINWrUYFkyt2/fZpYsCpxcvXo1vv32W2alI2rVqsXWXbFiBevPw6BWq5mYpH42aNCAKXvq3+TJk9nn9EoJKtQPV1dXtox8+CQISahRu+joaKxdu5aZdMvKTjPQqVMn9pRgsH76+/vjt99+YxZVYtiwYUwYnjt3jq1HB9OpU6fYGFtC8YvU/3HjxhmX0RhSX2jMLbOSHpbyfpY1w6ctbQxBxdlKHUsIMWwmJUOL10bbISRIjJPXrAdn0/Yt8x8EZTwiPUwGXWms+TsOf2y4i77dvfDenIbMxbojzHq2l6GvZVEBw/Ej2W5529Fa2VB5R7plC8oE/vq3THg4izCsmwJvP++MT1dkoFD9b3+jrlLGhaxZc59zZhYZSl6oxMOlBAIKGisDHSmActexrYdVefysHVfm/SjZEbIUEj2b1MVrAzuy/9sG+LNtLdp9Ci/1bgtVkQXQzdEO304YwM5Pg0VxwtIN2HnhBp5pV37NtXKP8Ye87hGbjqmg1ooxoqsYz3SToFCtw+GLasgkAqsxmKbbt/wOK3lgJt9X+hiXdYgZPA01vCUYN8gdXy1PRJ4Vgfk40VaB6d1I75BuIG8diTy6R5MGId1A+Qzkufviiy+YbqksqoT4I6sSCQ2y0JH16s6dO0z9EuSaJQFD4saUfv362bRtGkQSQrRtciuTtatVq1ZMMZMQpKDK119/nVkBDdBOIAsX7QTTAMyKQCLSgJ2dnZlgoiwewtSK1q5dO7OLElkyyfJH1kEan/Kg8Ttw4ABzgZOovHXrFjto6tXTx73QGLRt25ZZ8mhMduzYwVLJ27dvX2JbjRo1grOzM7NcxsTEIC4uzrg/ykoKqWiqu+EB3NKSZHjKtbQY6dvol9HFzFQKmFoEDU/DkXEas5tF3H0te2r19yRrnfUr4eRna2PKOPMMqoPHHsDNpeTjuJ2dCLm5tmf4lcflCL379/zlDPh4yfH86Fplij+DZc5y/GRlWO5swdSaYAkts2I4sYrBKmRprZOXYjUqq42i6L0y37xNZo4OmTlq3IAaDzI0eGuCM8soPXm17E6W+j1l9S3f1KpVfMMyWLmoJIkpFBM3a5QTOya//jUTD4rcm48KdaY+kF7saB6PZbDmqTNzjBY/y3UM6xm2UR5Vefwcii4gFN9nSm6Rqc1RXpxZbMC+6GDv2sj83O8UVIuJv6h7D1DXU/+g3jmollH4Ec1r+8BRLmXr2ILxvLW4pBjeWzu/SrtWGs/1os/poWfDETW2nVDDxVGAjGwdW9amobjMElejB7jh2YHuZstOhGfD2bGkRCCrX54Vy56BXKXWqmVQoRAyoUdD9/J4b5y4kIOLUXlmYpE+o/fWwlH+y4hEIlawmf4soXs3GcFKg7RDWZ9XafFHViiK5yOR07NnT3Tu3JnFmXXr1o19LhY/fDdJUJHVi0QPTZeya9cuzJkzx+zp5fvvvzeKJFMsU68rAil2U0zFpTUsfyOJXsKWLGJal4TtzZs3WdDnwIEDmYuZrHem0FPD559/zp4uSAQbXN+WUPzk1KlTmTWUXO3ksibr7KxZs1CZUGwfPdFTwDJQLCo9XITGQGVLDPFBHi4CJJh4C/TbAIsvy8nXsSd2a2Uh6OJiSKiwxpY9iTh+NtVsWdf2HmjbypU9GZs+8Pr7KhAX/+9iVRrWd4Sft7xEfN+NmBw0bVR23TCqb0jjR0kwpkLYENtDZSQeBrpZZOYatluMvVx/s6eyMrZA8V/UP3LbmWII2k9MKfkgkVQUQ0br3L1f/DklA7A2qRp2w2tRX4rYRLWZIKDMU8LZsfxoluQ0fd8M2y3xPdb6lqo2xpXeSbLWRm1WrmTqUEe2ne//zERG9qO/m+Xc0Mfx2QXURtbFSONy+wB9okdOVDQ0uXlQxiexdUyRerpB4uTA1rGFqjx+Nd2dWZLV3dQMs+V3UjPZa10vvYgzpZaH/lwzxPcZUBdZBCk7uKa7E7sGWK7D1tNqIbPxPpVWdN5SkoYp7mWct4ZYP1qHsoSNbZzN2zSsJWTCO+6+DslF1086b53sgXsppY/h3uOZOHfVPESlXXMHlvRhed3z9ZSw5I3SuHe/EHVrlhTYvh4S3IwrgLurGEF1FeyvRzvz8kWjB7izvxf/F4sHaZX3YP04sn2fNqpEzB9Z5TIyMljc28yZM1nCBCUwGAQauUGvXLli1mbNmjXG0i7luUXJ9UuWMIoTpCQQihEkSPCR6KIYPVMf+uHDh5nJtTzBVplY/r7w8HCm+MkCVx4UF0mu8YULF7KkkiFDhjDLI1lQTc3zZC0lqya5nK9du1aqCZkSbehpgkrYTJo0iVldExMTyzX3k2WvrD9L6BpKhZdbBJhfNOm9/gKmsXoRJNEYHGjRJlDEhCElO1DoTUyCFs3rUQ274nXq+4sgkwoQfa9062VqWiGu38ox+ztzIR32dmK0a1VsgXVxkqBFExf22b+BsoX/93pDeHkUXyzpsKO4v+jbZQeRq7VkzdShcS3z45TeU8xcQsrDOxmj72kR5C80G7/GtYXsphWbZNuNmPbvzTtqVrfPFLLMkQXg9r2SF3cScw/SNWwdU2gb94uSPOh+PDHUAf3am5dBaFxP3yY+WWNT327EqRDS0PwmFdJIxvoWm1DSbJps6FsjizYNpUzYGBJQmgVK8cIwR9y6q8L81RmPRfgRedF3kBdzF74j+pWo/UfCUBmXwN6n7DsOr4HdITTJWPUZ0Q9atRopB0/Z9F1VefwoaYMyb/dfjTG7Xu27Es0sdE1repVoE1LXDwqpGLsv3TRbfijiNsRCIZrX8mExgyFF2zUVgKdv3YWyUG1zti81vZ2kRZM65sK5aV0Ru+5RVQJLyGqXmqVl65i1qSPCg0wt0nP0v7NdIxEGtjM3PHRuKmbizbIqgCnpmRpE3ykw+7sYmQs7hQgtGxUntTk5iNA4UGGWAWwJWfMoWYQSPwzQ/zV9Zeyz9Ew13vjqTok/gwil/2md6hLz96SoEpY/CmwkyxIlSZCliVyN5N82uEbJYjdy5EgmbshaRW5ISvagODSDW5XSou/evYuaNWuW2D7F+pGY+eabb8wSHChekLJjaLu0jNzBlHFDWbEPO2XKw0KxeJQcQsKN/qeEE0rasAUPDw8mYsmqSdZTEtKU8k0WVVPXMtUMogQYGgeD69sa5KKmbF/qB+0bGhMaI6IyEz6IsHMqzBgmx6T+cpyOVKGOjwg9Wkmw/UQhi1EhKw8VZybBl1sUy7/3TCHG9ZGz2SyuxqrRrJ4YLetLsGZ3cbD/9pMFLLlj+hA5my3EUSFgxaNvJ2lYeYSKcOlaJsIvZzCRtnR1DLKyVMw1nJOrxuad94zr1alpB4lEiJsxtmf+bdl9D8P6++Kr/zXFyj/joFZrMXygHwJq2+O1/5k/EFjj8GUNK8Y8upsYF25pUNNTiE5Nhdh3XsMCwGn8KHuQRDFl69rKsasaNKsrxITeYpyI0MDDSYBerUQ4f0Nrc40/YsfxPLw2zgnThzvg+KUCBPiL2awcGw/mMQsjWRL9PERIztAgJ09/A9t+TMkKOFN5iks3CxHcQIo2jWX4aVO28ea564SS1RCkGUOux6ng7yXG4C4KRMQWsnpztrD9WB5eH++MGSOdcPRiPgJritGvgwIb9ucW982THiqK+7btSC6mDHVCrlKHizcKENxAhrZN5Fi2oShjWwRMGuTAQhZ2HMtj7U1Jz9IivZLEILluHRoHMtFH2brEzc9+QIsV86FKy8D9bQfgPaQX/EYPRPg4vbeDiF6wnM0C0mb7csR+vwr2Deqw+oB3l6+zucZfVR+/aT1bY/ryLXjz9z2sNMvFuCSsOXIBr/bvwMq0UFJIzP00NisHzf5Bwm5mn3b4ZsdxOClk6NW0Hi7eTsKqw+EY16k5W4d4pX8HTP1pE2at3Ibnu7ZEak4evt91Es1qeqN7Y9sL7h64oMHUgRJWfPncdQ0rdt+1uQi7z6iN5y3NUERWQsN170C4hhVwzivQITJOyx7GWgSI8Mf+4mvyiau0XSkGtRcjIk7LSjb1aCnGoYtqYxUAW6Gafldu5GHO8z5YuzkF2bkajBnozioU7D6qN84YhB1lflMtP+JYeA5G9nVjhZ6pODQxYagHbicUsMxecmqRuLRGWqa61M84/0HxR4KELFHz589nZUdIrJFVj6xFZBEbO3Ysy34lcURxcBSrRsJvxowZrD25dcPCwpjLs7SJkMnKRQkOltYuEliUdEHihgQkCR8KviTB+TiheDlK8iDxR7+P+kW/2xYo24fGjix1JBop8YVctmS1ozhAU+j3U8ZxWYGj9PtTUlLw0ksvsfeBgYHMXUzxCLQ/yBJbWdyM12DVznxW7JlKsWTk6LD1eCEOFU3vVtNLxETcH2H5OFM0fRu9ikX56NFKinaN9bEsv+3NNxZ4JujJeslGJZs2bvIAObsZXYlRY+uxgodKhHjv82uY/UIAZk2uxyzNVyIz8cGXEcg2ifl7fUZ9Fqs36oXilP3yoNp/VAqGpo57c2Z9KBQiRFzPxivvXTLGAJZFbJIOfx9So0cLEcb2ECMrD9h7ToMTEfobpK+bAFP6S7DxmBoXo20XHSlZwNowNfq2FmFMdzGo0sjJCC27aVWEqDg1lm3IYUJt5jOOzIqzfn8ews7o72i1fER4c7wzVm3LwYmi6dvolTxofdspWAkXiuVbsTUb50yK++44rkROnpYVdab1svO0OBxegK1HbXfDR91WYek/WaxY8ezRTqxv/+zLxd6i6clq+4rx1kQXrNySheNF04/Rq1iczayOnYPlzJK1fHMWzkboPw+sKYGLo16wvD6+ZObdlsO52HqkcspaOLVsgg77f8WlqW8jfu0mtoxehTIp6r02Bf6TRjJLINUITPxnl7Fd7vUYnB4whU3v1urvRUw4xi5cjRvzFlXo+6vy+FGB5m/GD8CPYWcwZ+1OeDk7sEQOEmyGun6UofvxqJ4Y2roRW0ZTv5HwW3v0IjaeiYCnkz1m9mmLyd1aGbfborYPlr84DIv3nMbrv+1m7uAeTepibmgnNtVbRSzrv+9ToXcrMSb2lbAwi12n1cbp3Wp4CPHiICn+OaTC+Zv6ZfRKUUAkEimbl8Tc3wcLcTmm+Ly+maDFnwcK2RRwbRuJWMzf1hMqNkPPw/DlL4mYPNITzw/3YO7fqJh8LFj5gMX1GZg+xhNebhJM/1BfYkit1mHekgS88IwnZo71hlqjYxa/VRseVMlYPl01dfsKdBUpJsd5JFB9PRK8JOD+68xZbLtV7HHz/csO6Dz4MKoix7Z1w//WVK7VtTL5+Hkppn1uHitZlfjlXXdM/cS2gPzHzYoPPLFDos/Sr4qEqq5X2bEzjF/+5ooJ18eJfNgrePuXis05/biYP02O4bPNXd1ViU1L6j/y7zh3/d+F7hhoHVQylrQqUyVi/jgcDofD4XA41cjtW1UhFzPFFpbFu+++a0w8+a/2gcPhcDic/yK6aur25eKvDEaPHs0qbJeFu7t5baSH4ddff33ifeBwOBwOp7qhewozdSsDLv7KgMqs2FJq5b/eBw6Hw+FwOP8duPjjcDgcDodTLdGiesLFH4fD4XA4nGqJjrt9ORwOh8PhcKoPumqa8MFLvXA4HA6Hw+FUI7jbl8PhcDgcTrVEx92+HA6Hw+FwONUHHXf7cjgcDofD4XD+63C3L4fD4XA4nGqJVodqCRd/HA6Hw+FwqiW6aur2Feh0umqqezkcDofD4VRnDl/Lq5TtdGtih6cJbvnjPFYGT4+ssiO+7adGCLtUgKpInxYyPPdOAqoqv39RA5Pm3UdVZfU8b7y+NBdVkW9m2mPqJw9QVVnxgSd2SIJQVQlVXcfsbzNRVVky1xnbzqtRFRkcIsb0+Wmoqvz0ttsj/w4dz/blcDgcDofDqT7oqqnvkxd55nA4HA6Hw6lGcLcvh8PhcDicaom2miZ8cPHH4XA4HA6nWqLjMX8cDofD4XA41Qcdj/njcDgcDofD4fzX4W5fDofD4XA41RIdj/njcDgcDofDqT5ouduXw+FwOBwOh/Nfh7t9OVUCuUyASSO80LGlE+QyIa7dzMPyf+4j4X5hme1cHEWYOsobrZrYQyQS4NyVHKz4JxnpWeYV9Yf3cUP/Lq7wcBMjOVWFbQfTsfNQuk19i7x0Atv+WozEu9FwcnZDl37Potfg5yEQWC8RoCoswK71y3D22E7kZKWjRu0GGDhqBhoHd7K6fnpqEj5/fSSmvfk9GjRpg4dBJhVgbH8ntGmqgFwqQNTtQvy2PROJKWXPLODkIMT4UGc0byCHSAhcvJ6P33dkIiNba3X9vh3sMbCLA+Z8ZftsHk0CpBjZ0wE1vMTIytFi/9k87D5R9pRK7ZrKMaSrPTxdRUjJ0GDHsVwcv5RvdV36vZ/McMeWwzk4dtH6OqXRoKYIA9pJ4OMqRLZShxNXVTh0sewxaxkoQu/WUrg7CZCWrcOBcBXOXde3cXUU4P0JpU/zdCZShb8Pln1Mm9KkngTDe9jDz1M/dgfPKbHnlLLMNm2byDCoix08XURIydRg1/E8nLhsPnNN60ZS9O9oB193EfLydYiIVWHDgRxk5T6cGURewxtdL27HuZGzkHbkTJnr+o0JReA7M2BXryaUtxNw6+ufkfDrZrN1nEOaotGXb7FXdVYu4tduxI2Pl0CnUtncp4a1xRjcScZ+Y1aeDkcvFmD/+bLHPiRIgv7tZHB3ESItU4uwswU4HWH+nZ9Mc4SrY8kSuf+3NAu5+baP3/XLx7Fr3ULcj4+Gg7M7OvUZi26hk0q9rqhVhTi8YzXOHd2KjLQkuLh5o2WnUPQc8gLEYqlxvatn9yNs0zI8SIyFo4sHQjoPQc+h5uvYQqM6YgzrZgc/DxGycrU4FF6AsDNln19tGkkxsKMcHi4ipGZqsfuUEqeumo95h2ZS9GkrZ8dnWhZtNx8Hzz+5mZV0PNv3v8PixYuxadMmHDhw4D/5fY+CjRs34p133sH169efyPe/MbUGguoqsHpjMvLytRgb6oHP5tbCrI9ikJtnXYgIhcC8V2pBIRdi6e9JEIsEeH6EFz6eUxNzPo2FpqjZ5JFeGNzTDX9sfYAbt5Vo3dQBM8b6QKPRYc/RjDL7FXvjEpbNn41WHftj0JhZiI66gC2/fwetVoO+w6ZabfPHsnm4cv4whox7BV6+dXD68Fa2jVc+XI7ARiFm66anJOGHz16CMi8b/4ZZY1wRWEuKv3ZlIa9AixG9nPDeNA+89d19dnMvbfzemuTOxm/lpnQ2fmP6O+HtKR54b3GycfwMtG+uwHOhzkjP0tjcrwB/CV4b54IzV/Ox6WAO6teSYHQfByY0dxyzLgBbN5Jh+kgnhJ3Kw5VbhWjVUIZpw52h1uhw+qr5TcJOLsCrY12YSKwotbyFmDpQhou3NNh9ugB1fYUI7SCFUCDAgQvWRUazeiKM6yPD0ctqXL+jQdO6IoztJWN9o+2QeFq4oaQ469RUguBAEc5E2j7NV70aYrzyrDPOXivA5kO5qF9Tgmd627P9tuuEdQEY0lCKacMdse+0ElejC9EySIapQ52g1mThzLUCozicPsIJh84rselgLnsAGN7NHm9McMHHv6RDbfvuZcj9fdB2xwpIXJzKXddneF8Er12A2MVr8WDPUfgM7Y3glV9CW1CIxHU72TqKuv5ot3sV0k9dRPjYOXBoGICgT16DxM0FV2d9aFOf6viK8NIwO4RfV2H7iQIE+IkwtKscQqGACTprBNcX4/mBChwKL0TkYTWaB4oxob8d1Jo8nL+uPx7s5QIm/DYdViL6nvlAKQtsF35xNy9h5dcz0aLDAPQf9TJir4djx5/fQKtVo+eQaVbbbF77Bc4f24Y+w6ejZr1muBtzFWEbf0RGSiJGv/gJW+fGlRNY8/2raNG+P0LHvoak+FvY+df3yM1Ox/BJ79ncv7p+Iswe5YhzkYXYekSJQH8xRvRQsGNvzynrArBlkARThtjjwLkCXItRIri+BJMHOUCtyWHbITo1l2HiQHv2ABMRm4e6fmKM6mXHHuB2nazYg1tloaumbt//pOVvypQpeO655/6z3/coGDhwILp06fJEvjuongLtWjhi3qI7OH9NP/8qs/x9FojQbq5YtyvVarvOIU4IqCXHzHnRuJuov7jExOdjyf/qoXNrJxw+kwUvdwmG9nbDT38mYdcRvdC7fD0PHm4StGpsX6742/HPj/Cv2xDPv/w5e984uDM0ajX2blqO7gOfg1QqN1s/NTkBZ4/twKgp76Jrv2fZsgZN2yLm+gUc3fO3UfxptVqcObINm379Brp/efUh0RfSWIGvVqXg0g39je367UJ8/6Y3+rS3x5ZDOVbbtWumQN0aUiYQE5L1oiQuUYX5r3qhXXMFTlzUCwwneyGe6eOEXu3skV2KEC+NYd3tEZeoxs+bsth7EnMioQCDuthj76k8qKxooZG9HJjg+XOPvt8kYuwVQgzv4WAm/oKDZBg/wJHdOB6G/m0kSEjR4s/9RWN2V8NEaa8QCY5cVlkVQQPbSXE5WoOtxwuNbUiA9m8rxcVbSiaY79w3HyN/TyETfrtOFyI2yfbxG9rNHneS1Fi+Rf9gcDVaxazboZ3tsO+M0urYjehpj3MRBfg7rOg8ilHBXiFgFhyD+BvYyQ6Xbxbg153Fx0VSigbvT3VFiwZSnC+6UZeLQAD/CcPQ6Mv/g60x80GfzEXi+t2IfOML9j4l7Bgkrs4ImveqUfwFvDkN6uxcnBsxk1n6Huw+Ao0yH00XfoBb85ch/25iud8T2kGG+GQN1u7WH8ORt9Vs7Pq2leHQhQKrYze4kxwXbqiw8bBehETGqdm+De0oM4o/fy+9xe/SLTVSMit2LpiyZ/0S+NVphHEz57P3DVt0gUajxv4tv6BL/wmQWFxXcrMzcPrAPxj47Fz0GDyFLavftD173fnXdxj47GtwcHLD2cOb4OLui3GzvoRQKEKDZh2Rk5mKwzvXYMj4tyASS2zq3+DOdrh7X4NV24uOo1g69oABHRQ4cC7f6vgN62qH8KhC/LNf/1BH1mQ69oZ0URjF34COcpyPKsTGQ/r9EhWnhpebCD1C5E9M/FVX/pPTu9nb28PNze0/+32PArlcDk9Pzyfy3STClPlaXIjQX2iIrBwNrt7MQ0hThzLbxScVGIUfQf/HJxUy6x7RIdgRKpUOYSfMJ37/6pcEfPFTQpn9UqkKcevaWbRo28tsecv2fZCvzGVWQEucXD3x5hd/om3XUOMyoVAIoUjMtmfg3p0b+OuXT9C262A8P1svLB+W5vVlyC/Qshu6gexcLSJjCxEcJC+z3b1klVH4EfT/vQdqs3ZDejiieQMZvvstFRciy3Y5miIWAQ3rSBEeZX5RPxeRD4VMiAa1SrqhPFyE8PUQW23j4y6Gt5vewkc35VfGODP39oLfbHPfm0IiL6CGCFdjzBXe5RgNE5P1fEteGsml6+UqxJUY8zvfpWg1PF2E8HC2roBGdJHifroWhy+pKzR2QbUlCI8yt1KRsKOxIyugJe7OQjZGF66bi7fzkQXwdhezmyz1MCKmEIfDzcc3KVU/Dl4VsKA6NQ9C0x8+Qvxvm3Fx0lvlrq+oXQMOQXWRtCXMbHnixj2wr18HdoG12XvPPp2RvOuwmYs3acNuCEQiePbtbNPYkaWKBJopJOwUMgEC/EraPNycBOzYumzR5uINFRsT2r+Ev6eIWfj+jfAj92105Fk0a2N+XWneti8KlLnMCmhJvjIH7XuNRpOQHmbLvfzqsdfU5Hj2StcYqYwsdMX70c7BBRq1CgX5xdfX8savQS0xLtywOI6iCtn40dhaP/ZEbIwt29C40nlDLPknGxsOmlv8yQMjFj/ZGT60lfD3tPFIxF9QUBB+//13jB49Gs2aNcPgwYOxf/9+4+dk9fjpp5/Qr18/NG3aFK1atcILL7yAO3fuGNc5fPgwRowYgRYtWqBDhw54++23kZlZfANfsWIFevfuzdr37NkTP/zwg9GCQm5YWkZMmDABc+bMMevf2bNnWR/j4uLY+4MHD7Lvat68Ofr06YPvv/8ehYW2x+WYfl98fDzb9o4dOzBs2DD2+2nb0dHRrI8dO3ZE27Zt8dFHH5n1d+zYsezzdu3aoXXr1swFm5Nj3WJjjfLGlMZv1KhRZm0SEhLQsGFDnDhxgrl9qd8Gbty4genTp6NNmzZse7169cLKlSvxKKjpK0NSSmGJrKvE5EL4+5Qep+LvK7MaE3gvuRA1itrVrUkCpxBN69vh+/fqYtPShlj+WQD6dXEpt1+p9+OhVqvg5au/KRnw9KnFXpPv3S7RRiKRonZAEyjsHNk+Ibfu+tVfIiXpLjr3KR5/Vw9ffLhoO0Y+/yYkstIFmi1QLF1ymqaE++J+qhq+nqVfVf28JFZjAlk7j+J2+0/n4vUF93HuWsWezMkVKxELjMLCuP00/Xsfj5JCw/C95bUpUOnw7g+pWL45CzkVtEYS7s4C5uZ+YHETN9zUDTd7U7yLbmAPMswHOjVTV2obsvjV9hFhy7HCCrmXDGNn+N0GktOLxsHd9rFLTtca21AX1u3LxUWLG3vLIP35kvDAdp+v8k4iDjXsg8g350OTV/6xQe5bIvem+XmTF62/Djs0qAuhXAa7Ov7IvRlrtk5hSjpUmdlsnfIgIUJjZxgrAw8yigSuW8n95FP0UHG/RBut2b6v4aWPkXxhsB2+nuWEb2Y7YXKoAk72tt/8U5PvMjHm6VPHbLmHt+G6ElvyN3n5Y+SU/8HLz/z3Xz23HyKRGJ4++msUxQ2mJMXh0PZVUOZmMffy0d2/omFwVyYCbYEewNj4WRx7D4qOI8MDmCmG49HyeDWOX1GbpFQtiwU0PMCRG7h9UxkOhz/JmD9Uyt/TxiOz/C1YsABDhw7Fli1b0K1bN8yePRvh4fonmrVr1zLxRoJkz549TPTcvn0b8+frTeBpaWls/ZEjR2Lnzp1YsmQJE2xfffUV+5xi60jokIDau3cv3njjDfz444/YunVriX6Q8CJxZyqkaD0SR7Vr18aRI0eYOCShun37dnz44YfYtWsX3nzzzX/1+7/77ju8++67+Oeff5CVlcXEHf3GX3/9Fa+99hr++OMP1i8DV65cwbFjx5jAovGg32spWsuivDGlcbh8+bKZwN62bRt8fHzQvr3efWBAqVQyV7aLiwv++usvNi79+/fHl19+icjISFQ2dgohs/xZoizQQiEv3RJBrsC8UtrZyfWHtrODGO4uYrw+xQ97j2Xgw4V3cCEyF7PH+5YrAA1xeHKFufVRptAH9OfnlS3Ow7asxAcz++LQzt/RoedwNGxePM72Ds5wdfdBZUAxe/SbLSFrIFmJSsNOJrAap0TLaJsGEh+oS8T/2YJhH1h+R36h/j1ZEUq2EZTTRr9NjaakyKkIBlexYbsGCoo0kTVXsrzoOcSyjeG94XNTugdLEJuoQfS9ig2gYWxKjEPRe0qKKm3saL+bt9GWOt6Ep6sQo3s74E6SCldu2v7Qq0rPRH6C7Yk/Ymf9eaTOMj9vyMXLPndygMTZ0eo6hvVonfIw/M6K7NviNubL81XFCWkGy5+LgwB37muwbHMuNh5Wor6/GHNG20Nqo/XKcN2Qlbiu2Ov7qbTNQnfl7D6cP7oFHXqPgZ2DM1sW2KQdug+egu1/LMAH0zpg8YfjmDv4udn6e+e/OvbKOG+N41fq8Wrepp6fGN/NcWXxf/TAUV4iCecpEn8kNigOrl69ekyckQXst99+Y5/VqlWLCYkePXqgRo0azLJH4oKsTcT9+/eZ5c3Pz499HhISgmXLljErHkECRiqVss9oHYpXW716NbNSWUKWMHK77du3j72n7ZI4ov4RtF0Sfs8++yzrV+fOnZmo3L17N7PiPSwknsjCR5Y1sibm5eXh448/RkBAABOC7u7uuHnzpnF9yvAii2OTJk2Y9e9///sfjh49ipiYGJu+r7wxpbGpWbOmmUAm8UcCncbHUvxNnDiR9YH6W6dOHbzyyivss3+bEEKJbPR1Zn9lPDSXFQ8nKLOd/lUsFsDZUYylfyRh5+F0Fu/3w29JOH8thyWVlEV5sXgCi3GzpFlIN8yZtxKDn32Zxff9+sMH+LdUdPzKqmElKKOhrhKKX5W1f9h3WPmK0jIdi9tUziN2WWOm/55//3vq+AhR00uEg6Ukj5RF+d+lq5TxJovNmxNcoNHqsHR9FrMMPirKO190Wq3+gC5znfJ7WJ4N7t/s2z/DlPjmr1zsPVOA6AQNjl9RYfm2POYabtvYtmxana7sB4GyzksDV86E4fclb6JOUCuEjn3duHzDyo9xaNtK9B42HS+9vwpjpn+KvJxMLJ8/HYUFtoVslHcOWtsFFT32UrM0WPB7FlbvyIGzvRD/N8EJEvGTy/bVVcLf08YjG24SMKa0bNkSx48fZ/+Ti/TSpUtYuHAhYmNj2d+tW7fg7e3NPm/UqBEGDRqEl156icWhderUCd27d2ciihgyZAg2bNjAhF1gYCBzpdL/JAQtsbOzYyKIhA65YcmdTAJwwIAB7POIiAhmEVu/fn2JCyu5av39/R/q95NV0bQPHh4eUCgUZjF2pq5lEliG30+QZZIg8UYCujzKG1M6oen30ziQVZV+N32+dOnSEtui+MVx48Yxix+tR2I7KiqKfUauzNIg13BZkOv/2VAPjBtsHlt47HwWXBzFVi1HucrSvy9Pad2yZdqOLIparY6VgDEl/FoOQpo4sFIxGdnWLUgKO/2TuWWsDMX7mX5eGn616rPXwMatWXbwjnVLMXjsy3Dz8MXDMrynI0b2Ns+qPH1FCScHkXWLoBXLqAGympb2FJ9XgczFsrZvzdJi+E5rWcjKh2jzMBisGjKJ+ffIiu7fSgurkalVSN83nRUrovn6zeuJWX8j72geun+ljYNVi22+qVWweL8brISWY0cxhbNGOTGLzte/Zhrdeo8Kdabeki521Fu4DBiseerMHKPFz3Idw3qGbZSFYd9R+SNTDNan0qzdbB2LUEqDNdfwOVlxLYm5p2FjS4k9tiC3c7R6XSlQ6n+7XKH/vDSO7FyDbb8vQEDjNpg0dzEkUhlbnpl2nyWF9Bw6Df1H6x/WiZoBzbDgraE4c2gjOvcrPzHROBayhxg/G9tk5uiQmaPGzbtASoYWbzznxDLVLcvCPA60T6HLtkqLP7FFBKdGozFamH7++Wfmlhw+fDizUE2aNIkJA4qTM/DNN99g1qxZzC1LMWnkhiUL4Jo1a5g4IXfyhQsXmKAkdym5PV9++WUmbCwhK9/zzz+PlJQUJn4oVtDBwcEoZig2jvpiyb9JgLD8/ZbWNUskEkmJ8SJElGJlA7aMKX1GLnRyMZM73eD6tuTBgwcYM2YMG2cSlWQNJcstue//LZRde9ZCiLUPdmTJG/T0aPqE6OspRXxi6bEg8fcLEVCzZLwctbt5W/+US/F+VN6BLIAqdfHGKfPPEDtWGh7eNVng9IOkYlc5YXjvXaOkKE97cA9RV06hTedQ40WZ8K/biL1mpiX/K/F34EwuLlgkQ7RuLGfJG5bjR0H+CQ9KTzIgd24dv5KJA5Q0EB3/7y/CD9I1zKJkGSNEiQfs+63EGyYWuXKpDWW62tLmYUjN0rG+eTjTeVl8Q9e/L46TM8WwjOIFE1KKlxsSPSipw5TGdUS4GqtGGc9LpULxVtQ/w+8uOQ4lRUhSqn5sKLj+ThLKHDsq9zJ1qCPbzvd/ll7XsTLJuaGPZbMLqI2si8XhI/YB+mtQTlQ0NLl5UMYnsXVMkXq6QeLkwNYpDxITNHaWMZiG95Zxaab7jtaJf1A8FlSLjkhKo0QgKgcjQVySBompxesIipIkqE6kLbh76a8rKRbXFcN7LyvXFYNRYsvaL3Bsz+9o2XEgxrz0mVntvvSURLZOnQZ6w4EBH/9AFu9H9QQrct56sd9ebLU2JG1YC7e4X7SMxo+yhIvbGGL9NJBJKMlMitv31MZYQMJwnjs7PJn8U101FX+PbLRJYJhCQo1cmgZXKwm7efPmMZERHBzM4tMMFjeyYH3++efM4kUihoQNvT916hRSU1OZ6/LPP/9kYpDckevWrWPJDCRorEEJFOQKJcF46NAho8uXqF+/PrOSkQgy/CUlJbH4wtxc22IvKgPqQ3Z2ttl4EY0bN7apfXljStAYkEWW3N4U12g6DqaQxS8jI4ON8cyZM5nF1ZBsU5bbjcRmWX9EWqYat+Lyzf4uROTATiFiAtAAWbKa1Ldj8XmlQdnBlBBS07f4Akj/1/KTGTOHz13VC82ubcytZe2aOyL2bn6ZljESb4GNWuHi6f1mv/viqX0soaNOYFOr4o/q/F06U5zgRERdOgmxWAJvi4DtikI36dgEldnflZsFzMpHAtCAo72QZdpeuVl6LA19RsWDKWHEAP1fw1vCtvlvoXIQ1+NUCGlU3C+idSM5swrGJKisip7kdDUTtJZtSNzQjb0yoDIuMfe0rG6fKc3r6bM57yRrrQpGClZvEWD+YNc8QMxuZunZxceIQqa/EVaktItl/27Q2DU0HzsaSxo72u/WxCnduC3HmywqNHaGQPtmgVK8MMwRt+6qMH91xmMRfkRe9B3kxdyF74h+JWr/kTBUxumz71P2HYfXwO4QSosfTHxG9INWrUbKwVM2jd2teA2CA80fbEi4kYXudlJJ8ULHFf0FN7BsI2aJI2lZOrbd0T0VrFyMKc0CxJBKBLh517YHE7qu1G0Ygqtn95ldVy6fDWNWwVoBzay22/X390z4dR34PMbN+qpE0WYPn1pMVMZGnTdbTgkkeTkZcPOyzYtFv5N+iyEJyECrIKn+2LtX8nfS8U8JNXSsmbeRMLFNxx7FDU8cYI++7czP7cZ19WOekPzwMbycKmT5IwsdiTfKFCVxRrFin332GfvM19eXWezIqkQWMRJllLhBrlGCrHKUEEHWMIrHKygoYMKOXKOurq7sPcW3UYkVEnYk1ihBgv63hsHlSZYxsmaZJjhMmzaNJVaQRSw0NJRt67333mPu3sdZ+oRiAt966y2WDEIWSooPpFhGEmy2UN6Ymlr/aNtk8TS4vi2hJBCK+6O4RxLYFHf4xRf6ulwVyYK2lWs3lbh8PRevT62B1RuSkZWrwbhBHshValicnqmwoyy0mLt6YXL0XBZGD3DHvJdrYc2mZLbs+eFeiI3Px9Hz+rpyV2/k4fSlbLwwyhtyqRBx9wrQs70zGgUo8OmP5cd09hv5IpZ88iJWfvcG2vcYhtjrl7B/22oMGfcqK6mgzMtBUnw0PHxqwtHJDfUatkJQs/b4Z9V85h4m6+HV8MM4sucvhI6eCTuH8gvhVhQqdxIRXYCZY9zw565Mlv06orcTu9HtO5VrJuwow5Vq+RGnLisxtLsjK/T81x79eD3bzwl3ElU4dcX2ki5lse1IDt6c6IpZo5xx5IKSlSgZ0MkO/+zLQaFK7xaq4UnZympk5+lvhFsP5+KFYc7IUWpx8XoBK1RMM34s/afsmowVZd/5QkwfIsfEvjKciVKzGL3uLSXYeVLFhCtZKrzdhOzGlVukocPOqfBsLxmbyeFarL7Ic3CgGL/uNRfZvu4GK9PDC6vtx/Lw+nhnzBjphKMX8xFYU4x+HRTYsD8XhWq9S9jPU8TESU7R2G07kospQ52Qq9Th4o0CBDeQoW0TOZZt0O9fslBNGuTAAvGpyDa1NyU9i0Rs5YhBct06NA5koo+ydYmbn/2AFivmQ5WWgfvbDsB7SC/4jR6I8HHFyW3RC5azWUDabF+O2O9Xwb5BHVYf8O7ydTbV+CP2nM7H7GfsMWWQHXMlUtHiXq2l2HpUX6OOrHgU70iCL6fIYrfrVD4r6kxjR+V8SNSHBEmxcnueURTtPVuAQR3l7Fil2nc0+8XADnJcuqXCjbu2i5few6fj589fwK8L56JN9xGIu3EBh7evYvX66LpCSSH3E6Lh7l2TJWwk3I7EwW0rULNeU7Ro1w93bl022553jQC2XpcBE3Boxyq2rEGzDkhPuYe9G3+Eq4cf2vd8xub+7TyhxJxnHfHiMAccv1yAgBpi9Gknx6ZDSuP4+XqIWKiAYfx2HFdiUqgDe3/5pgot6ktYwfZfNucYx2/XSSUGd1Gw8bt+RwV/LxEGdVKwmoBXYyoeG1sZ6J7CMi1VWvxRAgUlYVDMGiU9UCYqvRJkVSMBQtm8JOConAslWZDV6t69eyzJgMqfkCAjEUhihgTbL7/8wv4nKx9ZpiheLTExEc7OzizmjxJLSsPg8qSkEVMXLMUDUmYuZQ+T9YwyXElAlbWtRwGJN4p1pCQZcvVSeZyK9KG8MTXEQ9I40Xqmrm9LaEyuXbvGMoUpS5oEKI05We/IoksJK5XN58vimUCj2TgEQiDylhJf/pJgNrsHzcpBRZtfeE/vvlCrdfjg+zuYNsYbs8bTjB1kDczB8nXJZq62L39OwNhBHqzYs7OjiNUC/GJZPM5eLr+UTlDTdnjh9W9ZvN4vX8+Bs5sXho2fy6Z3I+7GRmLRR1MxfuYnaN9dnzwz7Y3vsPOfHxG2eQUy0x/A07cWxk7/Hzr2tG5prQyoBh9N0zZuoDNz/96IK8TiP9LM4rwmDdXPhGGYmo0uxl+sTMXEQc6YOtyFjR9ZA3/bkflQrkprRMaqsOTvTDZF2SvPuiA9W4N1e3Ow+6T+hlrHV4y3J7lh+eZM49Rs9EoilaYf69pSwcTNzxszjUWKK4tbCVqs2V2Afm2lmDxAxuKQtp8oNNbjoxiumcMU+Gt/Ac4WTd9GrxSJQVm8bRuKmTXwj30FbHYPUxwVpcdH2UrUbRWW/pPFij3PHu3ELHT/7MvF3qLp3Wr7ivHWRBes3JLFbtAEvYrF2ejXXoHOwXJmCaRyOGcj9J8H1pSwOFfi9fEls923HM7F1iNlT71nK04tm6DD/l9xaerbiF+7iS2jV6FMinqvTYH/pJHMEkg1AhP/2WVsl3s9BqcHTGHTu7X6exETjrELV+PGvEU2fzcJMUrECO0gx7Qhdmzfbj6SjwNF07tRIs6rox3w6+484/Rt9CoWKZlI7NBUysr+rNmVh3CT2nV7ThUwod01WIrOLaRMKB67XIidFSxQXL9Je0yc8z32rv8Bq799Gc6u3ggd9wa6h07Sj9PtCCz7dDJL2GjTbTjL7CUrIc3qQRm8llByR2Djthg07g04u3nj5L51OLxzNZxcPFmh5wFjXoXC3vYHz+txavy0KQeDOyswY4QDMnK02HBQiX1FWbm1fMR4fZwTS9g4eUU/pvQqFuWyqduohAtZA1duy8G5qGKDwc4T+Wz8uofI2Hr0oHrkQgG2Hauch82HQVtN3b4CXWWlz5lA9eLIUlSaW5Hz35sezlYGT6/8UjGVxbafGiHs0pOrN1UWfVrI8Nw7ZRelfpL8/kUNTJpne9mPx83qed54fenjC+OoCN/MtMfUTx6gqrLiA0/skBTXAK1qhKquY/a35kXcqxJL5jpj2/nKiVWtbAaHiDF9fhqqKj+9/egnT1h/unKedJ9p93TNmfGfnN6Nw+FwOBwOpzx01dTyx8VfGVDSBdXrKwtyoxoKKf9X+8DhcDgczn8RHRd/lce/LQRcVaBM282bN5e5DsXX/VuoRA39Pck+cDgcDofDqR5wy18ZyGQyq3XwqlsfOBwOh8P5L6J9CmfnqAy4+ONwOBwOh1Mt0VVTt+/TlZ7C4XA4HA6Hw/lXcMsfh8PhcDicaomumlr+uPjjcDgcDodTLdFy8cfhcDgcDodTfdBV04QPHvPH4XA4HA6HU43gbl8Oh8PhcDjVEh13+3I4HA6Hw+FUH7TVVPxxty+Hw+FwOBzOE0Kr1WLRokXo0qULgoODMW3aNNy9e7fU9W/evIkXX3wR7dq1Q4cOHfDKK6/g3r17FfpOgU5XXY2eHA6Hw+FwqjOrDlbOdib3ePi2S5YswW+//Yb58+fDx8cHX3/9NeLj47Ft2zZIpVKzddPT0zF48GC0atUKs2fPRmFhIWuXlpaGTZs2sVnBbIHH/HEeK2/8mFdlR3zBDDsMm3kDVZHNSxvgx92osszoD7z0ZTqqKsv+zxXTPk9FVeSXd92Rv3kRqiryYa9g9reZqKosmeuMHZIgVFVCVdfx4VoVqiIfTZRg0rz7qKqsnuf9yL9D94TNXyTeVq5ciTfeeAPdu3dny7777jtmBdy7dy8GDRpktv6+ffuQl5eHr776CnK5nC0jsUhtw8PDmSXQFrjbl8PhcDgcDucJEBUVhdzcXDPR5uTkhMaNG+Ps2bMl1qf1li5dahR+hFCol3JZWVk2fy+3/HE4HA6Hw6mWaCvJ8terV68yP9+/f7/V5UlJSezV19fXbLmXl5fxM1P8/f3Znyk///wzE4Nt2rSxub/c8sfhcDgcDqdaotNVzt/DolQq2atlbB/F7hUUFJTb/tdff2XxguQ2dnNzs/l7ueWPw+FwOBwO519QmmWvPAzuW4r9M3XlkvBTKBSltqNc3YULF+LHH3/EjBkzMGHChAp9Lxd/HA6Hw+FwqiVa7ZP9foO7Nzk5GbVq1TIup/dBQdYTmVQqFd555x1s376dvU6aNKnC38vdvhwOh8PhcKolT9rt27BhQzg4OOD06dPGZZS4ERERUWoM31tvvYXdu3fjm2++eSjhR3DLH4fD4XA4nGqJ7gmXeqFYv/Hjx2PBggUsZq9GjRqsdAvV++vbty80Gg2r4efo6Mjcwhs3bsTOnTuZAGzbti0ePHhg3JZhHVvglj8Oh8PhcDicJwTN0PHMM8/g/fffx9ixYyESibBixQpIJBIkJiaic+fOTPAR5OolqM4fLTf9M6xjC9zyx+FwOBwOp1qirQJznJHYe/PNN9mfJVTW5fr168b3VBC6MuDij/PEaeAvxIB2Eni7CpGj1OH4VTUOX1KX2SY4UITeIRK4OwmQlq3DwQsqnLuuYZ+5Ogrw3vjSs6TORqnx98HCCvVRLhNg4jBPdAh2gFwmRMQtJVasT8a95LIr9zs7ijBlpCdaNraHSAScv5qLVRseID1L31eid0cnzB7vU6LtjkMZ+GVdcrl9i4s6hhPbv0Nq0i3YObqjRZfn0KrHFAgEgnLbJsdH4K9vRuH59/fA2d28dtS10xsRfmAlMlLiYO/shcZth6Ntn5cgFFXsstGojhhDuyrg5yFCVq4Why8UIOxM2SUMWjeSYGBHBTychUjN0mLPqXyculr6PhvVU4FebeQVnmWkcV0Jhnezg6+nCNm5Whw8n4+9p/PLbNO2sRShnRTwcBEhNVODXSfzcfKK+e/p2EyGvu3l8HQRIS1Lv90D58rerjVO3LiDJXtOI/p+GtwcFHi2QzNM7Bpc5r49Enkby/adxa2kVDjbydG7WQBe7t8edlKJcZ3Y5HR8t/MEzsUkQCQUIqSeH94I7QR/d+cK9a9hbTEGd5LB112ErDwdjl4swP7zZZ9bIUES9G8ng7uLEGmZWoSdLcDpCPPz6JNpjnB1LOmY+r+lWcjNr9jdWl7DG10vbse5kbOQduRMmev6jQlF4DszYFevJpS3E3Dr65+R8Otms3WcQ5qi0ZdvsVd1Vi7i127EjY+XQKeq+CweAb4C9GophKeLALlK4Mx1LU5E2JaB4OMGvDhQjEWb1MjIrfjn5dEkQIqRPR1Qw0uMrBwt9p/Nw+4TZc/Q1K6pHEO62sPTVYSUDA12HMvF8UvWj3u5VIBPZrhjy+EcHLtY8XOjstBVmt+3/OttVeKpE380rx1NbzJq1Cj2ntKbyUdOc9s9aWguPir0uHbtWjbh8ttvv42EhARWh6c8KrLuo4DiCChryPQJ43FQy1uIKQNluHRLg91nClDXV4TQDhJQwfKDF6wLwGb1RBjXW4pjl9WIuqtB07oiPNtTBrWmABdvaZCVq8OijSUvJp2aiNEiUITTkWULS2vMneyLBnXlWLspBXn5WowZ6I5P59TEy5/cRq7S+sWafsP/ZtWAnVyIZX/eh1gkwIRhHpj3sj/mfhEHTVGzuv5yxCcVYtFa84KeGVnl9zPx9kVs+fklNGg5AB1CX8W9mPM4uvVraDUatOnzYpltU+7dwJafXoRWW/J7Lhxag8ObPkf94H7oPPRNKHPScXLXIqQkXMegqYthK3X9RJj1jAPORRZi61ElAv3FGN5dAaEA2HPaugBs2UCCKYPtcfBcAa7FqtCivhSTQu2h1uhwLrLkDZa22aO1bfNZmlLPT4yXRzvibEQhNh/JQ/2aYozsacf22+6T1m9GrYKkmDrUAfvP5uNadB6Cg6SYMtiB9Y22Q3RuIcPzoQ7YfVKJa7G5qOcnwejeduxmt/OEvqaXLVyOS8LLq3egX/NAzOrbFhduJ+K7XSeg1moxtUeI1TaHImLx2tpdGNQqCK8O6ICY5DQs3n0K6blKzB/bl62TlJGN53/cgDoermxZvkrNBOZLK7Zi/WtjIZfYdluo4yvCS8PsEH5dhe0nChDgJ8LQrnIIhQIm6KwRXF+M5wcqcCi8EJGH1WgeKMaE/nZQa/Jw/rp+39rLBUz4bTqsRPS94ockQllQQeHn74O2O1ZA4uJU7ro+w/sieO0CxC5eiwd7jsJnaG8Er/wS2oJCJK7Tu9MUdf3RbvcqpJ+6iPCxc+DQMABBn7wGiZsLrs76sEJ98/cQYFxPEa7d1uHARQ1qeQnQJ0TIjr9jV8sWgF4uwHM9xRDRifQQn5dHgL8Er41zwZmr+dh0MAf1a0kwuo8DREJgxzHrArB1Ixmmj3RC2Kk8XLlViFYNZZg23JmdG6evmh8PdnIBXh3rwkQi58nw1Ik/8nOTyDKIv8WLFzOTaVXkvffeY8GaTwMDBw5kcwk+bvq1luBeihZ/HtDfOK/f1bILTK9WEhy9rIbayvCRlfBytAZbT+hvFjfuamEnE6BfGwkTfySq7tw3v3jW8BAw4bfrtAq3kyqW2x9UV462zR3w8ZJ4hEfoL3xk+fvp47oY0M0F63enWW3XqZUjAmrJMfvj20zcETHxBVj0fm10CnHEkbPZbFldfxluxeXjxu2KP/2e3LUYnv6N0H/C1+x9nUZdodGocTZsGVp2mwixtGTwr0ZdiItHfmNiTiwuKZq0Wg1O71mKWkGdEDq5eM5ZL//G+O3LwYiLOo7aDTvZ1L9BnRW4e1+D1TuKxi1WzW5I/TsocOB8AVRW9C1ZCcOjVPjngNLYhgTBkM6KEuJPJgGeH2iHjGwd3JwqdqMb0lWBO0lqrNyWw95fi1GxvpHFkcSdtb4N726H85GFWLdP/3tInFLfhna1M4o/an8usgAbDurXibqthrebED1ayysk/paGnUFDPw98/mwf9r5TUG2oNFqsOHgez3VuYVWkLdh+jFn6Phmtn22gXaA/tFod/jh+GcpCFRRSCX4MOwsHuQw/TRvC3hM13Jzw6uodiIhPRqu6fjb1L7SDDPHJGqzdrf9NkbfVEIkE6NtWhkMXrO/bwZ3kuHBDhY2H9cd6ZJyaCYHQjjKj+PP30lv8Lt1SIyXzIetwCATwnzAMjb78P5sNMkGfzEXi+t2IfOML9j4l7Bgkrs4ImveqUfwFvDkN6uxcnBsxk1n6Huw+Ao0yH00XfoBb85ch/26izV3sESxEUpoOG4/rL3K37unYta9LUyFORWqtXvvo83YNhejRQgi1tuKf28qw7vaIS1Tj50366cJIzNG5MaiLPfaeyrO6b0f2csDZawX4c4/+fLoaXQh7hRDDeziYib/gIBnGD3BkD0NVAV0VcPs+CZ66hA9LE62LiwvLcKmKUL+of08DlCHk6en5WL+TLlQBNYS4Emt+lSNhRxeGur4lD09y6Xq5CHHVShtPFyE8nK1fUEZ0leJ+ug5HLlfc6kcuW2W+Fhcji594s3I0uHYrDyFN7Etv18iOiT6D8CMM703b1akhRWx8+ZXcLVGrC5Fw8zQCm+nFgYH6LfqhsCAXCTHnrbaLjTiC07uXoG2f6eg85I0Sn+dlpyA/LwN1m+gnGTfg4dcACntXxEYcsql/YhHQoKYYF2+YuwHDrxdCIRMwi50l7k5C+LiLcPFmyTZebiJ4uZofEyN62DFLr6Xb1aa+1ZLggkXfzkcVQCETItBfUrJvzvq+lWxTCG+Tvi1al431B8ytI3Qjl1TgGbVQrWEu2Z5N6pkt79MsALkFKlyILSkyIhMe4G5qFsZ2bGa2nITijv+bwIQeXT/3X43GsNaNjMKPaOLvhX3vT7ZZ+NH40f4jgWYKCTvatwF+JfctiXMap8sWbS7eUMHLVcTOX8LfU8QsfA8t/Ghu1OZBaPrDR4j/bTMuTnqr3PUVtWvAIagukraEmS1P3LgH9vXrwC6wNnvv2aczkncdNnPxJm3YDYFIBM++nSt07avjLUDkXfP72bU4Hbv2kRXQGvVrCNCtuRBHr2oRdl5T4c9t3bcN60gRHmX+MHouIp+dGw1qmc9EQXi4COHrIbbaxsddzPY7QUL/lTHOiLpdiAW/VSxE41HW+dNWwt/TxhMRfzdu3MD06dNZDZumTZsyV6lpEOPRo0cxZswYtGjRAl27dsV3333HLGjkGt20aRPOnDljLH5Ibl9aThMjt2zZEn/88YfZdy1ZsgTdu3eHVqtlF75ffvmFfR9te+jQodi6dWuF+k7bWLNmDfr164fmzZsjNDTUmH1jCfXLtOp2XFwcq8QdEhLC3MJz585Famqq1bafffYZG5/Lly/b1C/6fT/99BPrF41pq1at8MILL+DOnTvGvhispQbIzUw1hk6cOMHcvqYFJcvbR5UBxeuRK/RBhvkF0HDRJ5Fniber/qL4IMP8bEvJ0r+n2Blr8YG1vUXYerzwoZ7y/H2kuJ+qKhEYnPhAhRre0jLb3UsuGf9k2s7HUwI7hQiBtWX44cM6WL+4Pnvt3q78B5qslLvQaFRw9apjttzFU3+jSk+OtdrOp1YzTPnwANr2nQGBsKQikSmcIBSKkZ12z2x5fl4m8pVZyEq9C1ugG4JELMD9dPN99aDoveGGYNY3D/0+v59WfhuKJWzfRIo1O3MrvF8pXo/1zeJ7kou+h0SeJRTXxvqWan5TTU7XmLVJStUgtegYppsduYE7NJPhULjtlt341Exm5avtaf7wWKsoJu92Sskb5/V7KexVJhFj9qrtaPveMnSZtxxfbT3KxCSRkJ6N7PxC+Lo64vPNh9nnbd5bhlfX7MD9DL3FxhZICNP4GX67gQcZ+vdebiXPXZ+ifXe/RJuifVsknmt4iZCXr8MLg+3w9SwnfDPbCZNDFXCyt91SpElhe/kAAI6XSURBVLyTiEMN+yDyzfnQ5JU/7uS+JXJv3jZbnhcdp/+8QV0I5TLY1fFH7k3z86owJR2qzGy2jq24OpLIEiA1y/zApfhlwqMUK3ZCig7fb1TjyBWt1USF8j63BXLF0r6l49iU+2lFx7mHlXPDQy/2y2tToNLh3R9SsXxzFnLynkLF9B/isYs/msduypQpzCL2119/MeHUv39/fPnll4iMjMSFCxfw4osvMoFEguTTTz9l6y1dupS5UQcMGMBE3rFjx8y2a29vz7ZjKcS2bdvGRJ5QKGQi8s8//8QHH3zAlk+cOBHz5s3D77//bnP/ly9fzrZDwoq+69lnn2X1dk6dOlVmOyra+Nxzz7EpXEg8rlq1igmzOXPmWHVtb9myha1DAtMWKM6QUsNJ5O3Zswc//PADbt++bYyFHDFiBBOSBjFoGBuqJdS+ffsK7aPKgpIoiIJC86tUQdFDtcyKrjK4CvItNFVB0XtrroTuwRLEJmoQfe/hLjYUs5dnJa6PrIEKeemnEIk6ig8s0a6guB25fAlvdwlLBPl0aQJzAc953hd9OpUdfF+Qr3cbS+UOZsulMr1VsTDf+s3cwcUbcvvSLdISqYLFEF46+huunVrPRF/a/RjsWjMXQqEIqgLbXJdkASLyLeK08ov2t7V9VX4bGF8nDLDHtmNKo2CrCHalfU/Re0M/zPom1y9TFtr2e+rVEGPhXDcW/5eQrCk3kcSUnKID3MHiJLArep9reQKQ2KeMAYDF/AV4u2HJlEGY0r0V1p++hv/9s99snYU7TyA5MxdfjuuLD0f2QGRCCl74eTPyCm1LWjDuJ8tzt4zzsLiN+fJ8lfn1gCx/Lg4C3LmvwbLNudh4WIn6/mLMGW0PqY2BSqr0TOQn3Lfd2uWsP4fUWebnDLl42edODpA4O1pdx7AerWMrcknRtc9iuA3DT+EM1shW0vFX+nbL+9zW6521+ErDvrZ2btBDTtlt9NukKChLgVjdizxXm5g/EhYkukgIkWAz1LghUUXJBkeOHGFWORJUREBAAD7++GNmITMUMKTaN9ZclMOHD2fbJosWJYGQ2CEBRMInLy8Pq1evxrfffsssgQRNpULrkmii/thq9aPvME04yc/Ph1pdtjuR6u+QdZK+39lZf1MnYbtjxw4mCA2QsNywYQPra+PGjW0eV/otJM569OjB3tPvJ8FGVcAJsuDVrFmTWTpnz55dQhhXZB81atQIlUF5z/HWTqjyElgt29T2FsLfU4hVu2xzC9L2Lb/DYngsvq/0s76svhqaRdxUMsF35UaeUQSTe5myhMcOckfY8cwytlG26BEIHv7ZrueYjyASSxH21/sI+/M9iCVytO49jbmTxdLSM6nNv7/sz62NXbnHRNErJVCkZ1EGYsXd5bb0Tfsv+maAMoG//i0THs4iDOumwNvPO+PTFRkotCHywNr3m/XFyg8gSyHRs0ldvDawI/u/bYA/29ai3afwUu+2UBVZAN0c7fDthAEsOcNgUZywdAN2XriBZ9o1eaLn7p9hyqK4XX1foxM0SEzVYu6zDizT+tjlf6lurCAo6ySnvpFfr9x1bFcA5Y4FnhwVvcbq2wgeU0btf7PUS7UQf1TBety4ccyaRNOXkCUqKirK6Lokd2OnTubB5OTKtAUSOFQTh7ZNLksSOuT+rF27NhOCNFHy66+/biZ2SLSR+CIBV15lbMo0pmraJE5NmTZtGnulRJTSoN9Vp04do/AjyOVKfwYuXryIs2fPsjEyzPdnKz179sSlS5fYRM+xsbHs79atW/D29jaenMOGDWOCj8QfjT19ThbViu6j0iDXcEUmvjY8FcosrAQGY4cV44bRMmNpFTRYhCwtEc0D9C6kyDu2PW1SFu+zoe5my46HZ8PZUWyzRdAAWf0MT7wl2+n7k5mjwbmrJeswUEmY4Eb2cHESIcOkLIwpMrneElGYb97eYPGTKmy3RFhC1sM+4z5Ht5HvMfevo5sfW3bt5Hq4eOjdyuVhsAJYWoEMFh5rmZu2tGkWIEHrhlJ8sTZLL9ZNblikZdiT+GPsm6LovdKiBElmjg6ZOWrcgJq5Q9+a4IyQhlKcLKNkjQGHogOa4vtMyS0yrTnKSybq2BeZi7o2Mg8D6BRUi4m/qHsPUNfTlS3rHFTLKPyI5rV94CiXsnVsQVnKuWvT+Emsn7uGz8lKb0nMPQ07j+lB7lGgztRb0cWO5jG8BmueOjPHaPGzXMewnmEbtmC4TllaMg0WP4MF9Ulg8FaUOM6L9i3tB2tekIq24VQz8UfiieL5SGCQYKGq1M2aNUO3bt30HRI/fJdMBQ65ZXft2mV0qxqePL7//nvUq2ceRG2YYqU8yOL4sNjyu+zs7LBs2TImUMkqSPP22crPP//MXL1k/ezQoQOb74/EFlkWDdBnFAN55coVZok0COOK7qPKguJdNFpdiSQNqu1GWHPnJRfFB3o4CXEvRVOiDSV1mNK4toglh9gakLvnWAbOXjF367Rr4cCSN0hgmD7A+npKzZI5LEm4X4h6RW5dU3w9JbhZlNnbOEABbw8JDp7WZ9UZkEoF0Gh0yMktXbQ6e9RiMXtUh8+UjBS9a9/NWx/H9DDEXD0IuZ0T/OqFwN23PluWl52K7MwklvVrCxSnR/vX0yJJw5AYkZRacqcYYvCozd1kTck2KVoM6iyHVCLAh1NLusWXvuXKkj/W7Cy7HhnFqlnvmz42KdHk2DKQVBS/ROtQBrOxTVEsW2Kqht28qTRNbKLaGKdIUFYx4Wyldp01aro7s+zKu6kZZsvvpOotwXW99CLOlFoe+vEwxPcZUBdZBCk7uKa7EzuOLddh62m1kNl4/U3JKNq3FnG5hveGWC9TDLGftE78g+KxoVqIhvElIRhcX4K4JL21z4CgKBEhW/loRETODX0cn11AbWRdLA5tsQ/QXx9zoqKhyc2DMj6JrWOK1NMNEicHto6tpGeDjR/FPZs+qrg5FsU0Zz45sfSg6NywjMk1HucpJU3XdOwT1MZwrJfXpqqgq6a69LHH/JE1KSMjg8XezZw5E3369EFmZqZRoJGbl8SJKeRqNbhZyzMvk8AhixbFqpGblWIECRJ8JMDu3bvHBI/h7/Dhw8zta+n6tAa5nb28vEr0j1yiX3yhLw9QGoGBgcwFnZ1d/HR47do1JtSSkvT13Ro0aMDiGSkOkcaJ6hnaConGWbNmsbYk3IKDg9n3mZrbyRVMiSYUE0jCmNzhD7OPSoPEZll/ltD9JzZRy+r0mdK8nj7b706y1qpgpKK/ZNGzrP1HgePpRQHThEKmv9HcTrI9xiQ9U4PoOwVmf+SGpfg9EoAGnBxEaByoMMsAtuRiZC5L+qA/A/R/TV+ZsV3TBgq8+rwP/LyKHyzoEO/Y0hFRMUqr5R4MiCUy1AhojVuXw8z2y81LeyBVOMKntm3xota4cvwvHNnyVYnaf0KBCHWb6kMLyoP6fvOuGi0bmD9Y0XuyLpBAsoT2IVnJqJ6eZRsSFLTvtx/Lx+drssz+qLgwQf/T5zb17Y66xPeQZY76dvuelb6la9mNkdYxhbZxvyjJg3TWxFAH9Gtv7hpvXE/fhkqj2AIlbVDm7f6rMWb7dt+VaGaha1rTq0SbkLp+UEjF2H3pptnyQxG3IRYK0byWD4sZDCnarqkAPH3rLpSFapuzfanprXgNggPNH4hJuJGVx9o5R4KR/oIbWLYRMzGelqVj2x3dU8HKxZjSLEDMBD8dT4+CvOg7yIu5C98R/UrU/iNhqIxL0P+GfcfhNbA7hCaZ0j4j+kGrViPlYNlx36ZQGZa4+zo0qmV+P2tcW8CsqpS48aSgMi7X41QIaWS+D1o3krNzIyahZFxocpoGyelqtG4sL9EmKVXN9ntVRafVVcrf08ZjF3+UYEAxZRSLRkKMEjco65Ug9ytZ7Mj9Se5LEi8kzsg1aYjTI+tYcnIy7t61nnFoEDhkNevduzccHByMwo2SM2i7lExB7devX88mUCZBZyuUjEJilLZB7lBKtCBhU57Lc/DgwczlS9O3kAv16tWr+PDDD5ngozExhTKcBw0axIScQXSVB7mJjx8/zoRvTEwMix3cu3evWTyhQRxTRjSJO4Mwrug+qkz2nVexQs8T+krRsJaQ1errFizG/nAVuwiRJYU+tze5poSdUyE4UIwRXSQIqinEiK4S9n73GfOLkq+bdWtgRaGafhST99pkXzYbB1kCP3rFH7lKDXYdyTATdoYEDuLY+Rw2AwgVeu7S2pH90f+3EwpwLFz/ELDnWCbSMtV4b0YNdApxQOum9nh/Rg3U8pVi9SZ99mZZtOs7A0lxl7Bz9auIjTiMEzu+x/kDK1gZF0rcKMjPYYWg83Ks1yIsjeBuE5B0+yIOb/wcd2+ewokd3+Hsvp/QqsdkuHjUsnk7u07ko46fCNOG2qNJPTEGd5GjTzsZK6JM+5csPVQI2kFRfBPceTwfrRtJMbaPAo3rijG2rx17T0WiCRKAd5I0Zn+ZOfqbC/1Pn9vCjuN5qFtDjOnDHdC0noTVF6RZOagWH8XlkQuLCkE72BX3bfsxJdo0lmFcP/o9EjzX3569pyLRBImXXSeU6BIsY9ujGTB6t5GzItURsYW4Gm37LBDTerbGlbv38ebve3AsKo4VYl5z5AIr8ExlWigphApBp+Xox4WE3cw+7bDr4k2WyUuC7qd9Z7HqcDjGdWrOZgghXunfAQ+ycjFr5Ta23S3nIvH2n2FoVtMb3Rubu4zLYs/pfNT2FWHKIDs0riNmtfp6tZZi75nifUuFoE337a5T+QgJkmJ0TznL1h7TS87ebz9eYBy/vWcL0KaRFCO6yRFUS4QeraSsEPSlWyrcuFs5yQLkunVp1wJSj2IL6s3PfoDf6IFouvhDePbtgqZL5rH3N+YtNK4TvWA5ZF7uaLN9OROBdedMQuMF7+Du8nUVqvFHUEYu1R8d3VWEQD8BegYL0bGJEEevaKHS6K99VAjaruL1y/81247koJ6/BLNGOaNZoBQjethjQCc7bDuay5JSyL1PhaAdTc6NrYdz2QwfE0IdWZuJoY7s/cYDtmeRPwm0usr5e9p47G5fSkIgixdloebk5DCxRlY9ElBkUaNJjcl9uWjRIlaWhYQZJR9QiRSC3LphYWFMHJG4sQZZtCj71tKyRTNYuLq6MgFIApIEE1ntSHDayvjx41l8IG2D3KMUx0dCq23btmXG/CkUCmZhJAshiVCKLyRB+3//939W1zdkNpP7lwRqeVCGMCXGjBw5kiVpUFziRx99xAQkCTg/Pz9j/CStZyqMH2YfVRa3ErRYu6cQfdtIMKm/DJm5Ouw4qTJO70YxPjOGyvHXgQLj9G30KhYVolsLMdo0FDOLwR/7C3Ap2vzGYLgw5VVwVgBrzP/pHqY844lJIzyZZS4qOh9fL082m93jpWe94OUuwYsf6F1IarUO8xbHY+ooT8wc580q3ZM1cOX6B0Y3dGa2Bu9+excThnpg2igvlgV8My4f/1sUb3QNl0XNBh0waPJinNq1CNuXz4K9ize6DHkLIT2nsM+T717DhiUT0WfcF2jSzrql1xq1G3ZG/4nf4MzeH3HlxN8s5q/7yPcR3LW4dJEtXL9DhWJzmav2peEOyMjRYuNBJfYVJWrU8hZj7jhHrNmRa4yFo1dy8fVpK0fH5jJmNVi1PRfnoyo+fVZZRMWpsWxDDiv2PPMZR2Rka7F+fx7CzujHvZaPCG+Od8aqbTk4UVRHkF7JM9q3nYKVcCEr5Yqt2WwGEwM7jitZGQsq6kzrZedpcTi8AFuPlu2KtoQKNH8zfgB+DDuDOWt3wsvZgSVyPN+1pbGuH2XofjyqJ4a21idh0dRvTgoZ1h69iI1nIuDpZI+ZfdpicrdWxu22qO2D5S8Ow+I9p/H6b7uZO7hHk7qYG9qJTfVmKyTElm/LQ2gHOaYNsWMxjpuP5ONA0fRuNb1EeHW0A37dnWecvo1exSIlE4kdmkpZWac1u/IQfqN43+45VYCcPB26BkvRuYUUuUodS/LYWcqsKw+DU8sm6LD/V1ya+jbi125iy+hVKJOi3mtT4D9pJLMEUo3AxH92GdvlXo/B6QFT2PRurf5exMq8xC5cjRvziouh20pskg5/H9KgR7AIY3vQ9HhA2Pni6d183QSY3E+MTcfVuBj9eNVFZKwKS/7OxPAe9njlWRekZ2uwbm8Odp/UH8N1fMV4e5Iblm/ONE7NRq9UvqZ/Rzt0balg1tyfN2bizLWHS8riPFoEuqqchsP5z/HGjxW7AT5OFsyww7CZN1AV2by0AX7UJ25XSWb0R4Xn1X2cLPs/V0z73HpNzSfNL++6I39zxcXD40I+7BXM/tY2D8STYMlcZ+yQFNcorWqEqq7jw7WV++BSWXw0UYJJ82wvifO4WT1Pn7D4KPlyfeW4pP/vmadrzoynbno3DofD4XA4nMpA+zT6bCsBLv6KIBeztbInprz77rslZsl41FDRayq4XBbkyjUUc+ZwOBwOh8MpCy7+ihg9ejT69u1b5mC5u5vXf3scUKHnzZs3l7mOoRAzh8PhcDgc29FVT8MfF38GKBPXtABzVUEmk1mtxcfhcDgcDuffoaum4u/pilDkcDgcDofD4fwruNuXw+FwOBxOtURbTU1/XPxxOBwOh8Opluiq7uQjjxTu9uVwOBwOh8OpRnDLH4fD4XA4nGqJjrt9ORwOh8PhcKoP2mrq9uWWPw6Hw+FwONUSXTW1/PGYPw6Hw+FwOJxqBLf8cTgcDofDqZZoq6fhDwJddbV5cjgcDofDqda8t7KgUrbz2RQZnia45Y/zWJn9bWaVHfElc53x6sJsVEUWvuqI6fPTUFX56W03/LgbVZYZ/YHP/9agKvLuGBHe/iUfVZX50+TYdl6NqsrgEDE+XKtCVeWjiRLskAShKhKquo6vNlTdjIe3RvLItEcFF38cDofD4XCqJbpq6vvk4o/D4XA4HE61RFtNg/64TZXD4XA4HA6nGsEtfxwOh8PhcKolumrq9+Xij8PhcDgcTrVEV3XzXR4p3O3L4XA4HA6HU43glj8Oh8PhcDjVEi13+3I4HA6Hw+FUH3Rc/HE4HA6Hw+FUH7TVtNQLd/tyqgQNa4sxuJMMvu4iZOXpcPRiAfafLyyzTUiQBP3byeDuIkRaphZhZwtwOsK80v8n0xzh6lgytPX/lmYhN9+2kz6olgiDOsrg4yZENvXtciEOhpc9o0CrBmL0bSuFu7MQaVla7DtXiLOR5rMkeLkKMaSzDPVriKDRAdHxamw+WoDUrIpdjBrVEWNYNzv4eYiQlavFofAChJ0pe8aINo2kGNhRDg8XEVIztdh9SolTV83Hu0MzKfq0lcPTRcR+w6HwfBw8X7GpkOKijuHE9u+QmnQLdo7uaNHlObTqMQUCgaDctsnxEfjrm1F4/v09cHb3N/vs2umNCD+wEhkpcbB39kLjtsPRts9LEIoqdkmr6w10ay6EpxOQmw+cv6XD6eu2jb+3CzCpjxDLdmiRmWf+WbM6ArRvKICLPZCVp9/uuZsVv8nUryFE3zZieLsKkKPU4eQ1DY5eKXumkhYBQvRsKYabowDp2TocuqRG+E3zqPaQ+iJ0aS6Cu5OAnW/hNzQ4eFFT4XlOr18+jl3rFuJ+fDQcnN3Rqc9YdAudVOr+VasKcXjHapw7uhUZaUlwcfNGy06h6DnkBYjFUuN6V8/uR9imZXiQGAtHFw+EdB6CnkPN17GFAF8BerUUwtNFgFwlcOa6FicibIvw93EDXhwoxqJNamTkVvxzW5HX8EbXi9txbuQspB05U+a6fmNCEfjODNjVqwnl7QTc+vpnJPy62Wwd55CmaPTlW+xVnZWL+LUbcePjJdCpKjYLSvzN4zi/93ukJ9+CwsEdjduPQ9POk206d1PuRWDr0jEY9fpuOLrWMPvsz/ndkZd1v0Sb5947Abm9a4X6yKnG4m/x4sXYtGkTDhw4gKpAz549MXz4cLz88svYuHEj3nnnHVy/fr3cdhVZ91EQHx+PXr16Ye3atWjXrt1j/e46viK8NMwO4ddV2H6iAAF+IgztKodQKGCCzhrB9cV4fqACh8ILEXlYjeaBYkzobwe1Jg/nr+svcvZyARN+mw4rEX3P/IapLLDtLlfbR4gXhyhw4YYaO04WoJ6fiAk2kVDABJ01WrC+yHHkogqRtwvQLECM8X0VUGuUbDuEi4MAc0bZITldizW7lZCKBRjYUYYZw+3w5W+5UNk4E1ldPxFmj3LEuchCbD2iRKC/GCN6KCAUAntOWReALYMkmDLEHgfOFeBajBLB9SWYPMgBak0O2w7RqbkMEwfaY88pJSJi81DXT4xRvewglwqw66RtU5El3r6ILT+/hAYtB6BD6Ku4F3MeR7d+Da1GgzZ9Xiyzbcq9G9jy04vQaktOK3bh0Boc3vQ56gf3Q+ehb0KZk46TuxYhJeE6Bk1dDFvxcwdGdxEi4q4OR67oUNNDgJ4tBBAKgJNRZR8fns7A6K5CdhxY0qKeAKFthDgZqUVskg5+7gL0DhZAKgZORNqurmp6CfB8Pwkux2gRdk6NOj5CDGgnZvv28CXrB0jTOkKM6SHBiasaXI/XokltIUZ3l0KtKWTbITo1EWFwR9quBjtPq+GgAPqESODrLsRv+2wXCHE3L2Hl1zPRosMA9B/1MmKvh2PHn9+wfdZzyDSrbTav/QLnj21Dn+HTUbNeM9yNuYqwjT8iIyURo1/8hK1z48oJrPn+VbRo3x+hY19DUvwt7Pzre+Rmp2P4pPds7p+/hwDjeopw7bYOBy5qUMtLgD4hQjZ+x66WLQC9XIDneoqt7l9bPrcVub8P2u5YAYmLU7nr+gzvi+C1CxC7eC0e7DkKn6G9EbzyS2gLCpG4bidbR1HXH+12r0L6qYsIHzsHDg0DEPTJa5C4ueDqrA9t7lfynYsIWzsDdZv1R0ifV5B0+zzO7F4ArVaDFt2s71sDaUk3ELbmJeisnLv5uelM+LUd8Ca8a7cy+0wqd8STQFc9DX9Pv/ibMmUKnnvuOVRFBg4ciC5duuBpwNfXF8eOHYOzs/Nj/+7QDjLEJ2uwdreSvY+8rYZIJEDftjIculAAlZVpRQd3kuPCDRU2HtYLkcg4NezkAoR2lBnFn7+X3uJ36ZYaKZkPl88/oL0M8Q+0+G2v/nui4jQQCYE+raU4fKHQqkijPly8qcamI3rhGnVHo+9bB5lR/A1oL4WyUIcfNuUZf19qlhbTBitQ01uEGAuxWhqDO9vh7n0NVm3Xmx6uxaogEgEDOihw4Fy+1bEb1tUO4VGF+Ge/3lwVEauCvUKAIV0URvE3oKMc56MKsfGQfp9Exanh5SZCjxC5zeLv5K7F8PRvhP4Tvmbv6zTqCo1GjbNhy9Cy20SIpfISbTTqQlw88hsTc2JxyYnS6eZzes9S1ArqhNDJi4zLvfwb47cvByMu6jhqN+xkU/+6NhEiKQPYdlp/9Y9J0jFh0LGxAGdv6qC2sgvo89b1BejaVGD1c6JjIwEi7+pw8LJ+u7eTdXBz1LeriPjrEyLGvVQd1h3SH8834rXs+3sEi3H8qsbq9/drI8aVGC22n9Lv+JvxWihkAvRtLcblmEKQ0aZnKzFuxGvwx/5ioZeQUojXnpEhsIYGtxJsO1f2rF8CvzqNMG7mfPa+YYsubP/u3/ILuvSfAInF/s3NzsDpA/9g4LNz0WPwFLasftP27HXnX99h4LOvwcHJDWcPb4KLuy/GzfoSQqEIDZp1RE5mKg7vXIMh49+CSCyxqX89goVIStNh43H9QN26p2PnbpemQpyK1FodP/q8XUMherQQQq2t+Oc2IxDAf8IwNPry/wAb9WPQJ3ORuH43It/4gr1PCTsGiaszgua9ahR/AW9Ogzo7F+dGzGSWvge7j0CjzEfThR/g1vxlyL+baNN3he9fAnffRug++iv23r9BFybqLx36CU06ToBYYv3cjTj5O8L3LYaoFAttamIke63duDec3GuhKqCrpm7fp77Ui729Pdzc3FAVkcvl8PT0xNOASCRifZVKK+ZW+beIRWDWKhJoppCwo5tWgF/J5xM3JwG83US4bNHm4g0VvFxF8HTRH9b+niJm4XtY4UciilyyV6LNv4f6KpcJUK+GqGTfHAXwdhXismWbm2rWL3I/Ec0DJTh9TWUmzu4ma/G/Fbk2Cz8auwa1xLhww9wCSaKNxo7G1RJyQ/u4i9j4WrahMSVXNLHkn2xsOGjuy9RodBDb+LioVhci4eZpBDbrY7a8fot+KCzIRULMeavtYiOO4PTuJWjbZzo6D3mjxOd52SnIz8tA3SbdzZZ7+DWAwt4VsRGHbOof3cRreZGgMr/wR8XrIJMI4O9hvV2gL9CliQAnIorFnSXrjmhx4KL5MafR6o8nW6H+1fMV4tpt82PhaoyGWV/JCmiJq4OAHWMl2sRq4OEsZC5esvKRRTzqjnn/7qfrmFu5YU3bbgnkvo2OPItmbXqZLW/eti8KlLnMCmhJvjIH7XuNRpOQHmbLvfzqsdfU5Hj2qlIVQioj63XxgNk5uECjVqEgP9fm8avjrRfhplyL07HxIyugNerXELAwgKNXtQg7r6nw57bi1DwITX/4CPG/bcbFSW+Vu76idg04BNVF0pYws+WJG/fAvn4d2AXWZu89+3RG8q7DZi7epA27IaDre9/ONvWNRFxizBnUbtLbbHndpv2gKsjF/dvWz927N47gwoEf0KL7i2jT/3Wr66QlRkEis4ejW02b+sKpwuIvKCgIv//+O0aPHo1mzZph8ODB2L9/v/FzrVaLn376Cf369UPTpk3RqlUrvPDCC7hz545xncOHD2PEiBFo0aIFOnTogLfffhuZmZnGz1esWIHevXuz9uRW/eGHH4wZOuT2pWXEhAkTMGfOHLP+nT17lvUxLi6OvT948CD7rubNm6NPnz74/vvvUVhYdmyZJUePHsWYMWNYf7t27YrvvvsOGo3GqiuXvttAbm4uPvnkE3Tu3BktW7bE+PHjcfXqVavfsXv3bvZ7//rrL5v7tW/fPowaNQrBwcFsX9DvpL4a+kLLsrKyzNrQuFL/ye1LfT19+jRbTuP//vvvM8tlkyZN2H6h90ql3hJUWZAYkYgFSE43H78HGfr3Xm4lD1EfN/1N4X6JNvobGokvooaXCHn5Orww2A5fz3LCN7OdMDlUASd72x61PZyEELO+aa1+j1eRyDTFu6i/DyzbFAlQElckXu1kAqRla/FMdxk+n+6ABbMc8MIgOZwdbHcjebgUjV2axTgUfTeJOUtI+BH300oZu6I2SalaFgtIkNWS3MDtm8pwONy2mL+slLvQaFRw9apjttzFU3+TSk+OtdrOp1YzTPnwANr2nQGByc3fgEzhBKFQjOy0e2bL8/Myka/MQlbqXZv6R7F4YhHtA3NxkJ6tf3V3tL4f7qUBP2zXMguetpRnitRsGGMA5VK9G5hiAMNv2W5hoGOE+peSad7GEA/q6Vyyf4YHi1LbuAiQX0BCVMeEoikKKaCQ6b/XFlKT7zIx5uljvn89vPXWnOR7Jfevu5c/Rk75H7z86potv3puP0QiMTx99McGxQ2mJMXh0PZVUOZmMffy0d2/omFwVyYCbcHVUb9/LeNnDfvbo5TfmZCiw/cb1ThyRWs1/rG8z21FeScRhxr2QeSb86HJK9+STu5bIvfmbbPledH6+5pDg7oQymWwq+OP3JvmY1+Ykg5VZjZbxxay0+5Cq1HB2V2/PwwYLHWZKeZ9MOBZoxnGvLkPwT1egkBo/SkxNTEKMoUzDvzxKtZ+1AZr5oXgwJ+vIS8rGU+y1Iu2Ev6qpeVvwYIFGDp0KLZs2YJu3bph9uzZCA/XP/lRDBmJNxJ0e/bsYcLt9u3bmD9f7ypIS0tj648cORI7d+7EkiVLmGD76iu9uZli+Ug8fvTRR9i7dy/eeOMN/Pjjj9i6dWuJfpDYIXGXk5NjXEbrkeCsXbs2jhw5wsQhCdXt27fjww8/xK5du/Dmm2/a/FsvXLiAF198ESEhIUxQffrpp0ygLV26tNy29N3Uhy+++AKbN29GzZo1mdvaVOgaRBz1ifr37LPP2tQvEpEUZxgaGopt27Zh3bp1zCL61ltvMXHbv39/iMVitg8M0D66e/cuGzdLaH9FRESw/UFtKB6R+vz333+jMiELFZFfaH7yFBTpcXpKL72N+fL8ooddssoZLH8UW3fnvgbLNudi42El6vuLMWe0PYu/Kg95kdex1L4VfY95m9J+j874exwU+nWGdJIxsbdmlxJ/7cuHv5cIL4+0s6lvpuNgGb9o+G7D59ba5Fu2KXpv+Zvq+Ynx3RxXFv+X8EBTbiKJ8ffm61WUVO5gtlwqs2evhfnF56gpDi7ekNuXfoOXSBUshvDS0d9w7dR6JvrS7sdg15q5zFKkKrDt4URWZOAusHCLG97LSvEs5ihLHnelUcMdmDtcxOL/kjNhcyKJQTSy/lh8V4HKvP9W26hKaSMBC1O4HK1FhyYitG4gYqLPw1mAZ3tKmJi19djLz9PvP5nCfP/KFPr9S9Y/W7hydh/OH92CDr3HwM5BH3IS2KQdug+egu1/LMAH0zpg8YfjmDv4udn6e4ItyCUCq2NRaDIW1shWAsoy9m95n9uKKj0T+Qklkx5KQ+ysH2d1lvl5Qy5e9rmTAyTOjlbXMaxH69hCYdG5K7E4dyXSonO3wPq5a+/sDZld2eI89V4kcrOS4V6jCfpO/BHtBv4fkmLPYccvE6EqtMiaeoxuX10l/FXLmD8SD4a4OxJnZ86cwW+//cZEV61atfDll1+iRw+9qb9GjRpMiJBli7h//z4TJ35+fuwz+lu2bJnRkkYWQnJF0nJah/68vLzYqyVkXfz444+ZeBo2bBjbLgkXg7ij7ZLwMwgq6huJyueff55Zvvz9zTMKrfHrr78yix+JKiIgIIB9Z2pqapntYmJimPAjIUyWP2LevHlwcnJCenq6cb1Dhw5h7ty5rF/WRFlZbtsPPvgA48aNMy6bOHEipk2bxvpGMX007iQMyTpI0P8GYUy/35ROnTqhTZs2RssljQ3t0xs3bpTaB0oYKQtTi7CB8uwM1h6oyks2M7T5M0zJ3G0k/ojoBA0SU7WY+6wD2jaW4tjlsq/itn6PKeXFf9M1giwSBGUOr9yeD52JdXDuGHuENJTg5NXyA+/Ly7qzdj2q6G9KzdJgwe9ZzMo4tIsd/m+CEz5dlWk1ltB8O2W72gWCh3/u7DnmIxZTFPbX+wj78z0Wf9S69zTmThZLFTZt42GOu4qSmQv8dkADZ3sBujUT4PleQqzYaz3WrDL6Z+u+3XRMBbVWjBFdxXimmwSFah0OX1Qzd3d5+9Xm/WtDIsSVM2H4/Ye3UCeoFULHFrsJN6z8GGcPbUTvYdMR2LQ90h8kYO+GpVg+fzqmv7eCuYTLo9yxwNOFgII9y0BHyr3cdXSVUvfu35y7nUd8zCz3nv7N2Hufuq3h6h2I7T89h1vhW9Co/diH3jbnCYg/y+xQcmkeP36c/U8u2UuXLmHhwoWIjY1lf7du3YK3tzf7vFGjRhg0aBBeeuklFnNGoqN79+7MJUsMGTIEGzZsYMIuMDAQHTt2ZP9bE392dnZGgUPij9zJJAAHDBjAPidL1uXLl7F+/foSB3p0dLRN4o/ED/XRFOqPLe0IcskakMlkzKJGGCylr776KuuzLX0xhcaRkjV+/vlnJjTJzR0VFcU+MwhpEpMkCElwk1WQrJ6vv249NoNEJFldKZOaLLW0z0gg1qunj8+pLCjpgZBZWPgMFihrWbmGZXKJdcuH4fPYxJJ3WYqnI1ewv2f5FzBykem3Kyjze6z1Tf97ij83bIMsbAbLHCWpmG4hLkmLvALb+mb6XZbWOpvGzsY2mTk6ZOaocfMukJKhxRvPOSGkobREWRhLZEWZe4UWMVoGi5/UwmJUEch62Gfc5+g28j3m/nV082PLrp1cDxcPc1dVaRgsQpaWLoNFyNJi9DDk5Ov/8ECHjFwdJvQUoWFNAa7eLv8mnF+Khc/w3pr10bDM0qpleG/4vFANbDiixrYTarg4CpCRrWPL2jQU21xmSG6n37+WMXgFSv3+lSvKztw8snMNtv2+AAGN22DS3MWQSPVm9sy0+ywppOfQaeg/+hXj+jUDmmHBW0Nx5tBGdO5XfoKf4Rwrdf9WgvXucaLO1FvjxI5665sBgzVPnZljtPhZrmNYz7CN8jBY6ym+zxRVkcVPKnv4c9e7VsuSy2q3Ypm+aUlPptKF7im02lUZ8UfuRFNIbAiLnkJIjJCrl8qfUNzYpEmTmAVox44dxvW/+eYbzJo1i1nGTpw4wSx15FZds2YNEynkTiZ3KwlKykglVzK5OMldbAkJHLLkpaSkMBFIMW0ODg7G+EOKN6S+WGJrYoblb7UVW9uRGzksLAzvvfcec1krFLZZMsjaOnXqVCacaewo9pLi82hcDbRu3ZpZUMnlTSIuPz/fKIxNoXGaPn06bt68yYQ5ZS1T3B9ZFitq2SsPEhQUg2RI0jBgeG8Zm8aWFcW00TqUiVvcpiheLY2C4qkcjARxSXprnwFBUaJEtrL8E54SRahv5BYzxcPYt5LWD0N8oKezEAkmfTNtk5OvjxExWABNoUW2Wl8epGtY/7zY7y5WK4akjaRUK2NXtIzGjrKEi9sYYv007AbZvL4Ut++pjbGAxJ0kfcecHcoXp84etVjMHtXhMyUjRR/r6+atj2F6GGKuHoTczgl+9ULg7lufLcvLTkV2ZhLL+rWF9Bx9cVd97FvxseBadF9LqWCtRQMSMVDfT4DENB37DgNJRcZ9x5JJklZJy9KxfUtJGqYY3j/IKNk/Q6wfrUNZwsY2zuZtGtYSMpEfd1+H5HT9Mns54GQP3EuxLTnK3asmc7OnJN0x70PRe68a1h8S6WF7y9ovcGzP72jZcSDGvPSZWe2+9JREtk6dBuZlQHz8A1m8H9UTtAWK3SweP51ZQhYbC4u4yKpOzg19HJ9dQG1kXdRnzBL2AfqHnZyoaGhy86CMT2LrmCL1dIPEyYGtYwuObvpzNyvVfN8a3rt4Pdy5S+7k21f3wsO/Gdx8GphZLSk++EnV+NM+XYdC1Yr5u3Llitl7EmokFgyuVhIg5OKkJAmyfJElyWBxI6vg559/zsQICUMSi/T+1KlTzF1JAujPP/9kguaVV15hsWzktqT4QGsYBA4JRnKhmrpO69evzyyP5OY0/CUlJbH4QkrGsAVy81r+XhKpBldqWe0sx0qtVjPLqMEFTpBoI5GVkZGBb7/9FraycuVKZoGlBBgaR7JOJibq0/oNY01uQhK+FDtJ4ttUGJsSGRnJhDhZa8mNT9ZXcpGTC76yp8IhF9iteA2CA83NFSTcyEJ3O0ljVTDSX3ADyzZiljhCN07a7uieClYuxhSquSeVCHDzbvkKi7ZBrmLKzLWs40cWurj7VvqWqc8ublFfXKINCUMKOKe4I7bdALFZBmiDmiJmMbQ125f6R7+jZZC5eahVkBR5+VrE3iv5G0nMUTINWe/M20iY0KYkD3KVTxxgj77tzJVK47r6cUhILr9/YokMNQJa49blMLNj5ualPZAqHOFTuzkelivH/8KRLV+VqP0nFIhQt6l5JmlpsHCAB0CQv7m4augvYFYjSux4GMj7FtpGX+DZlHp6RweSbRQdtG9vJ2nRpI550kvTuvoMdsoMt4SsdlQuiNYxa1NHxEIK0nP0392ukQgD25kf052biplbONIiC7g0yFJXt2EIrp7dZ7Z/L58NY1bBWgF6t54lu/7+ngm/rgOfx7hZX5Uo2uzhU4uJytgo84xSSiDJy8mAm5dtHhEqw0LitlEt8/3QuLaAeRsoceNpIi/6DvJi7sJ3RL8Stf9IGCrjEtj7lH3H4TWwO4TS4v3rM6IftGo1Ug6esum76Nz1qdMat6+Zn7ux1/YyC53BZVtRhCIpTmz7FJcP/2K2PC7qADSqfPjWe7z1Zas7lWL5I/FD4o2yU0mcUaHizz77jH1GsWZksSORQ9ZAEmUkPjw89LUUSHz88ccfkEgkLB6voKCACbs6derA1dWVvaeYQSrpQsKOxBolhND/1iCBQy5fsjaS1bB9e30dKYLi3yjpgpIYKDGCtkUWNnKx2mr5I8shJaeQMKIkF3KvUrIHuVPLom7duujbty+L5SMhTG5vErr0+9q2bcuEqgHqiyHhg9zYJHzLg8aZYh3PnTsHHx8flrVLfSRMs5lJ/NHYkBuaXq1B+4YsleQWpjEkIUoi/sGDBxXOjLaFPafzMfsZe0wZZMfciVS4uFdrKbYe1depIyseZamS4KNyFMSuU/msqHOuUocrMWompEKCpFi5Pc9489x7tgCDOspZbB3Vv6MZMAZ2kOPSLRVu3LVNYO09U4iZIxSYNFDOSrPU9RWhZ4gU244Xsr6RG45m/iDRR33R/54CPNdXwcQr9a1ZPTFaNZBg9c7iZITtxwtYcsdLQxU4cL4QjnYCVjz6dqKGtbGVnSeUmPOsI14c5oDjlwsQUEOMPu3k2HRIaRw7Xw8RywA2jN2O40pMCnVg7y/fVKFFfQlaN5Lhl805xrHbdVKJwV0UbOyu31GxZJRBnRSsJuDVGNt8ou36zsCGpZOxc/WraNxuJBJjL+D8gRXoPPh1lrhRkJ+DtKRbzEpo52B7uabgbhOw6cepOLzxc9Rr1hN3b5zE2X0/oXWvaXDxsL122PEILcZ1F2J4RyEuxWhZUWASbVTChcaAXIYezkBGDpBn48QmJCopE5jqANKMIXHJZJkVsPIwVPA52rYya4wDFzSYOlCCcb0kOHddg9reQnRtLsLuM2qWuEEWWi9XAXvYoe9ibcI1GNVdwh5OIuO0aFxbiBYBIvyxv/i8pQLQUwdKMai9GBFxWgTWEKJHSzEOXVSXyH4ui97Dp+Pnz1/Arwvnok33EYi7cQGHt69i9fooLo+SQu4nRMPduyZL2Ei4HYmD21agZr2maNGuH+7cumy2Pe8aAWy9LgMm4NCOVWxZg2YdkJ5yD3s3/ghXDz+07/mMzf2jjNyJfUQY3VWE8FtaVt6lYxMh9oVrjeNHWdP0m23dv48Lct06NA5koo+ydYmbn/2AFivmQ5WWgfvbDsB7SC/4jR6I8HHFFS6iFyxns4C02b4csd+vgn2DOqw+4N3l62yu8UdQxu6ulVNYJm6DkBFIvnMBV46uRJt+c1lcLYVvZCTfYlZChY3nLonKFl1fYDUE5Q7uqBnUFelJNxC+/wfUatQLfgHF9+rHia6amv4qRfxRAsXq1auZoGjYsCFLaqBXgqxqlBBBgokEHCVLGATQvXv3mEWMrFUkyEgEkkAkwfbLL7+w/8miRuKDBBZZsiiujWLsyCJVGiRwaHtU+sXgfiZISFFZE8oeJjHj4uLCRGlZ27IWW0eiadGiRayPlHxCwm/GjBnltiWLJo2HIa6PxoLGylqdQvrdZPV89913mWCmmoFlQVZRcnVT7CRB8ZH0fSQiydposDxSrCSJTbK+mgpjU0iYUjY27Rcq40NilNzJZFF8FDOpkBBbvi0PoR3kmDbEjsWZbT6Sz0QRUdNLhFdHO+DX3XnG6dvoVSxSMpHYoamUWdvW7MpDuEn9uj2nCpCTp0PXYCk6t5AycUZJHjttLFJM3IzXYNWOfFaU+YVBCha7tfVoAQ5e0H9PTU8RXn7GDr/vVeJM0fRt9CoW5TOR2K6xhFnTft2jxIWbxaKOrDqLN+ZhUAcZpoQqWNA91RPccrSgQskG1+PU+GlTDgZ3VmDGCAdk5Gix4aAS+4qycmv5iPH6OCes3pGDk1f040mvYlEum7qNSriQNXDlthyciyoWCDtP5LOx6x4iY+vl5Glx5EIBth2zvdRPzQYdMGjyYpzatQjbl8+CvYs3ugx5CyE99QV+k+9ew4YlE9Fn3Bdo0s725KbaDTuj/8RvcGbvj7hy4m8W89d95PsI7jrB9oEji0MysOG4Fl2bCvFMZyHL5Nx/SYczRVm5Pq7A+J4ibDutxRUb4vQMHI/Qiwkq6twuSMD+D4/W4ejVit1kou9p8fs+FXq3EmNiXwkyc3XYdVptnN6thocQLw6S4p9DKpy/qV9Gr2RNJpFI2bwkbP4+WDy7B3EzQYs/DxSyKeDaNhKxmL+tJ1Q4ca1idevqN2mPiXO+x971P2D1ty/D2dUboePeQPfQSezz+NsRWPbpZIyZ/inadBvOMnvJkkSzelAGryUvvb8KgY3bYtC4N+Ds5o2T+9bh8M7VcHLxZIWeB4x5FQr78mfCMEBi++9DGvQIFmFsD5o2Egg7Xzy9m6+bAJP7ibHpuBoXo6uWAHBq2QQd9v+KS1PfRvzaTWwZvQplUtR7bQr8J41klkCqEZj4zy5ju9zrMTg9YAqb3q3V34uYcIxduBo35hUXRLcFEmK9xi1kQm3fb7Nh7+SNtv3fRLMuk9nnqfcisHP58+gy8nM0CCkZRlUawT1mQG7vhohTfyDq9F8sO7hhuzFo1atkCNfjQvcUlmmpDAS6f/nLKRuUSpdUJDOVU32Z/a15WZuqxJK5znh1oW1B0Y+bha86Yvr8h/RFPgZ+etsNPxZHL1Q5ZvQHPv/74YvyPkreHSPC27/Y/kDyuJk/TY5t5223Rj9uBoeI8eHaSsjQeUR8NFGCHZLieq9ViVDVdXy14d9MVfJoeWvko5+HYtrnZVfqsJVf3nXH08RTP8MHh8PhcDgcDqcaze1bWVCSChVcLgtyNxuKUz9OKL7R2gwiBtzd3Vm8H4fD4XA4HNvRVVO3778Wf5Tc8V+gcePGbAaLsqCYxScBzSRS1gFKBZ45HA6Hw+FUDB1P+KjeUMFlKv1SFaEyKxwOh8PhcP57aLValqT6zz//IDs7m82u9b///Y9NAWsNmhWMagJTSTaqcELVS2jWMVvrAhM85o/D4XA4HE61RFcF5valaiZU7eSTTz7BX3/9ZZyQorTSalTdg8rMUZUVKulGs5lRBZWKwMUfh8PhcDicaolWp6uUv4eFBB5N0kCCjkqqUZk8KklHdYipJrK1/ASa0YvqH9NkGjRzGpXTo5JwNHWrrXDxx+FwOBwOh/MEiIqKYjOMkYgz4OTkxPIQaEILS2giB6q9a6jdS1DtXnL/nj9vPjNOWfBsXw6Hw+FwONUS3RNO+CALn2GWLlNoAgnDZ6aQdc9yXalUyiatMEzpagtc/HE4HA6Hw6mW6Cqp1EuvXr3K/Hz//v1WlyuVSqOAs0xCzczMtLq+5bqG9Wm6WFvhbl8Oh8PhcDicJ4Bh6lbL5A4Sctayd2l9a4kgtL6dnZ3N38stfxwOh8PhcKol2kpy+5Zm2SsPgws3OTnZrKwbvafpcy3x8fEpMakDicGMjAzmKrYVbvnjcDgcDodTLdE94VIvlN3r4OCA06dPG5dlZWUhIiKC1fuzhJZRLCCVejFA2b9ESEiIzd/LLX8cDofD4XCqJbonPL0bxe+NHz8eCxYsgJubG2rUqIGvv/6aWfj69u3LpnZNS0uDo6Mjc/m2aNECrVq1wmuvvcZq++Xl5bGC0MOGDYO3t7fN3yvQPelfzuFwOBwOh/MEGPd2fKVs54/5/g/dlgTet99+y6Zyzc/PN87w4e/vj/j4eJZM8sUXX2DEiBFs/dTUVHz00Uc4evQoS/To378/3nnnHfa/rXDxx3msrD5UdQd8Unfg3RW2Z0s9Tj6fKsOrC7NRVVn4qiNe/j4LVZXFc5zw7Zaq+Zw7d6gAw2ffRFVl05L6mD4/DVWVn952w6R5the3fdysnueNrzZoURV5a6QQOyQl48qqCqGq64/8O8a+dadStvPnV0/XNKzc7cvhcDgcDqdaon3Cdf6eFDzhg8PhcDgcDqcawS1/HA6Hw+FwqiW6apr2wMUfh8PhcDicaomOu305HA6Hw+FwOP91uOWPw+FwOBxOtURXTS1/XPxxOBwOh8Oplmh1VbMMz6OGiz8Oh8PhcDjVEl01tfzxUi8cDofD4XA41Qhu+eM8cWIijuHw5u+Qcu8W7J3cEdL9ObTtMwUCgcDq+mpVIc6ErcSVU5uRnZ4ER1dvNGk7GB36vwiRWGpcL/L8LpzasxxpSTGQ2TmhTsOO6DHiddg7eVSof4E1BOgbIoaXqwA5SuBUhAbHrmrKbNO8nhA9gkVwcxQgPUeHw5c0uHDL3L3Qqr4QXZrp18nOA8JvanDokgYVfRANqiXCoI4y+LgJkZ2nw9HLhTgYriqzTasGYvRtK4W7sxBpWVrsO1eIs5Fqs3W8XIUY0lmG+jVE0OiA6Hg1Nh8tQGpWxTrYkPVPDl93ff+OXCrEgfDCMtuEBInRr63M2L+ws4U4E2n+mz6e6gBXx5LPr28vy0Zuvm19vHvjGM7u/h7p929B4eCOJh3HoXnX0o89U1ISIrBp8Wg8+9ZuOLqZT+2UnhyD0zu+xr2YMxAKxfCt1wYdBv0fnNxroqLIpQJMHOaB9sEOkMuEiLilxMoND3Avuex97OwowuQRHmjV2B5CIRB+LQ+rNj5Aepb1Y9fdRYyF79XCtoMZ+HunbTN6NKojxrBudvDzECErV4tD4QUIO5NfZps2jaQY2FEODxcRUjO12H1KiVNXzY+HDs2k6NNWDk8XEdv/h8LzcfB8xWbfaRIgxcieDqjhJUZWjhb7z+Zh94m8Mtu0ayrHkK728HQVISVDgx3HcnH8Un6p++WTGe7YcjgHxy6W/ZutEX/zOM7v/R7pyfpjr3H7cWjaebJtx969CGxdOgajXt8NR9caZp/9Ob878rJKznjy3HsnILd3rXA/5TW80fXidpwbOQtpR86Uua7fmFAEvjMDdvVqQnk7Abe+/hkJv242W8c5pCkaffkWe1Vn5SJ+7Ubc+HgJdKqyj+dHha6aWv6eavFH8+DRfHbXrz/6KWAeN+np6di3bx9GjRr1WL7PMH/g2rVr0a5dOzwuEmIu4p8lL6FR6wHoOuRVxN86jwMbv4ZWq2Fizhr71n2Kq6e2olPoTPjWbobEuCs4tv0HZKbdQ+jEz9k6EWd3YMvyuWjZdQy6DXsNuZkpOLJ1If749nlMfm8jxBLb5kCs6SnAxD4SXInVIuy8GnV8hOjfVsRupkcuW7+JNqkjxOjuYpy4psHNeC0a1xZhVDcJNFoVLsfoBWDHJiIMai/GlVgNdp3RwF4O9G4lho+bAH8cMBdhZVHbR4gXhyhw4YYaO04WoJ6fiAk2kVDABJ01WgSKMaG/HEcuqhB5uwDNAsQY31cBtUbJtkO4OAgwZ5QdktO1WLNbCalYgIEdZZgx3A5f/pYLVdna10gdHxGmD7VD+A0VdpzMRz0/MYZ2of4BYWX0b2J/BQ5fKEREnBrNAySY0I/6p0N4Uf/s5QIm/DYdyUfMPfPOKAtsu5jfj7uI3atmIKDFALTu9yqSYs/j1M4F7Nhr2cP6sWcgLekGdq2cDq225L7KyUjElqVj4eJZF73GfQO1Kp8JzB3Lp2LU3K0QS+SoCK9N9kFQHTnWbE6BMl+L0QPc8cmr/njl0zjkKq3HK9Hx+cFMP9jJhVj2VzJEIgEmDHHHh7Nr4PX5d6Cx0mz2eG/YK0Q296uunwizRzniXGQhth5RItBfjBE9FOy795yyLoZaBkkwZYg9DpwrwLUYJYLrSzB5kAPUmhy2HaJTcxkmDrTHnlNKRMTmoa6fGKN62TGxteukbSIrwF+C18a54MzVfGw6mIP6tSQY3ceBHXc7jlkXgK0byTB9pBPCTuXhyq1CtGoow7Thzuy4O33VXHjayQV4dawLE4kPQ/KdiwhbOwN1m/VHSJ9XkHT7PM7s1h97LbpNK/fYC1vzEnRWjr383HQm/NoOeBPetVuZfSaVO1a4n3J/H7TdsQISF6dy1/UZ3hfBaxcgdvFaPNhzFD5DeyN45ZfQFhQicd1Oto6irj/a7V6F9FMXET52DhwaBiDok9cgcXPB1Vkf4kmg43X+OFWJr776igmyxyX+fH19cezYMTg7O+NxcnTbYnjXbIQhU75m7wOadoVWo8aJXcvQuudESKTmN8q8nHRcOLoOPYa/gfb9XmDL6jTqwF4PbfqGLbdzdGPtA5p2Q//nPja2dfOpi7XzR+PW5YNoGNLfpv71aiVGYqoO/xzWX2hvJmjYza17CxETd2orIqhviAhXY7XYeVr/4c0ENRQyEnciJv7owb5nsAg3E7T400To3UtV4dURUgT6aXDrnm0CZkB7GeIfaPHbXv1NMSpOw25wfVpLmXiyJtJCO8pw8aYam47ob2hRdzTsZhbaQWYUfwPaS6Es1OGHTXlQFXUxNUuLaYMVqOktKiG4SmNgB33/ft2j718k9U8E9Gkjw6FS+je4qH8bDf2LI3Gs759B/Pl76i1+l6NVSMl8uCf3c2GL4eHXCD2f/Yq9rxXUhYm5Cwd+QrPOE62KNI26EFeP/4ZzexdDJJGWst0l7EYbOm0VJFIFW+bkWgO7V8/Eg/ir8K3b2uY+BtWVo20zB3yyNAHhEXrREhGdj2Uf1cGArs5YvyfdaruOLR0QUFOOlz+NQ3ySXlTFxhdg4bu10KmVI46cM58nun8XZ/h7S1ARBne2w937GqzansveX4tVsX07oIMCB87lG48bU4Z1tUN4VCH+2V/0W2JVsFcIMKSLwij+BnSU43xUITYeUrL3UXFqeLmJ0CNEbrP4G9bdHnGJavy8ST/fNIk5eiAa1MUee08VH9OmjOzlgLPXCvDnnhz2/mp0IewVQgzv4WAm/oKDZBg/wJGJ0YclfP8SuPs2QvfR+mPPv4H+2Lt06Cc06Tih1GMv4uTvCN+32MzDYUpqYiR7rd24N5zc/8VcswIB/CcMQ6Mv/w+w8WcGfTIXiet3I/KNL9j7lLBjkLg6I2jeq0bxF/DmNKizc3FuxExm6Xuw+wg0ynw0XfgBbs1fhvy7iQ/fZ06F4DF/VZTH/TTy/+2dB3gU5fPHh1RCly69CKGY0JsgvfemSBVQREGUPwhiAUUQwR+igGChKojY6ALSpAgKSJNOqKEFQoBASE/2/3wn7Hk1HMW87yXzeZ6Dy14umezuvTs7850Zb29vypcvH/n5OV9U/guQvg09sZMCqzSz2R5YrQXFx97hKKA98bFRVKX+c1SmUmOb7XkKluL/b1w7T0ZyMpUsX5cqP/2s8+8Jd2+QN5yoUo9nosPnbMMkcOyw8Jco4Lgq5spGlC+XFx1x8p68Ob0oT45MlC0gJXJwLNT2e67cMOhOjEGBRd37WOJCi5TswVO2V7IDJxMps38mKlXYMSqBFHOBx7zoH/v3hCSy3flypfxNwU/40s7DCTYXyfNXk2nMnDtuO34+3kiZe9M/J23TOftDEijAlX05MlGB3N50wO49+0ISKP9j3mwjKJzPmyN8D+r44UJ66dQuKvFkU5vtpYJaUELcHY4COiP02Fbas2EGVWk8kGq1esPp5/bMwXVUrkYXi+MH8hUNot6jt92X4wcql89CMXHJtP/ov9GqW1FJdDgkhtO5rqhSPis7fabjB/jrK/FUtWIWm+8tkMeH+nTISzMXXXXbLhzbssV8aN8J2+gtnDYcW0QB7UEKv2Aeb9p3IsHhPTjmkBmAz3+6Tb/8bhudS0oyyMfHfdvKlfCjvcdsHcW/j8RSgL8XlS3muMblzeVFj+f1cfqegnl82D6Az+1r3XLSsbPxNHmhc8fbnXPv8uldVLyi7blX8smUc+/KWefn3vkTW2nfphlUqeFLVKPlcKffc/3yMfL1z0rZc9+/vMCaHMGB9OSMsXRh4TLa33fkPb8/oHhhyhZYksKWr7fZfnnJb5S1TAnK8kRx/jpfs3p0dc0WmxRv2C9rKROuP83rkQqSk5MfycPTUOb83bx5k8aOHUsNGjSg4OBgeu6552jnzp382vTp06lXr170f//3f1S1alUaN24cb1+/fj21a9eOgoKCqEePHnTp0iWbnxkfH0//+9//6Omnn6YqVarQs88+y9Es6zRxs2bNaPz48VStWjUaNGgQb58zZw41bdqUnnzySWrcuDHNmDHjvpyvEydO0MCBA6lGjRr8M5A+nTt3ruV1/D19+/alzz//nJ566im2bcyYMXT58mV+X6VKldiuzZs38/ePGjWKli5dSrt27aLAwEC37TDTxJUrV+Z91LlzZ9q2bZvlb8e2W7dS7oRN8Hd/+umnHGXE7zKPQWRkJL377ru8LytWrEh16tThr2NiUu7GHwU3r52npMQEyp2/hM32x/KlLBQRV844vCdX3qLUssf7FkfO5MT+jeTl7cs/K5OXFzV5ZhSVrWy7uJ7Yv4H/z1uojFv2wVHy8c5EEXYOhql5y5vT0fnLf9c5sXdKIm7/+57YOKKkZIMdRWsy+xFl9k/5ve6QN4cX+fhk4tSsNeE3k21ssaZA7pRt4fbvibz7nse82AHL4p+Jrt9Opq4N/WnCwGw0eXA2erFtZsqZzf1oR54cXuSbin1wQu0pePcia/+ea+bfdPc9iPxFxxn0QpsA+viV7DR5UHbq1zqAcmRxz75bEecpOSmBcua1Pfdy3o2W3Ax3PPf49xcNoh5vbaSqTV4mL3jfdty+cZHiY29TtlyFaNvSD2j+e7Vo9tvBHPWLuhlG90uRAn505VqCgw40LDyeChdwfaNWpKAfXQp3TKuHhSfYvA9R6CG9C9L2vbdpn5WDeS/gLPGxvW57I2CeV6azZA0cP3DF/j03bd8TFpHMWkDT2UIauPaT/rRlr3uaP6RiYVtYhO3vMX9vwbyOtsHxS/ndqb8nLsGgt2dE0Oxltygq+sEu+Lev3z338qSscyZmpC7y2lnnf1fhIOo2YgNVbvQyZfJy7glHXD5G/gE5adOi1+nbsTXom/er0abv/4+ib7nv2IOY0Mu0uVwzOjpiIiVF3zvaivQtuBNia3v0qXMpr5ctSV6Z/SlLiSJ0J8T2sxV/7QYlRN7m71Gl+TMewcPTUOL8JSUlUf/+/envv/9mZw2OSdmyZemFF16gf/75h79n9+7dlDdvXlq+fDn17t2b9u7dS0OGDKEWLVrQihUrqFOnTvT111/b/Fzo/7Zv306TJ09m56lVq1b08ssvW5wqEBoaSlevXqVly5axc7lp0yb66quv2BFdt24dvfHGG/TFF1/w73AHOEP4W3LlykWLFy+mVatWUcuWLWnSpEl09GhKCB7gbz1z5gx999137ET98MMP1LVrV7YRf3/p0qXZ6YPT+c477/B2OInWzmtqHDp0iPdPmzZtaOXKlfTjjz9S7ty5aeTIkewUwyYfHx/67bffLO/BPj1//jw7ifbAliNHjrDDivdg32Kfwe5HRVxMSurJL8DWC/LPnBLRiI9JSb/ci+P71tPBv5ZyRDAgq/O0NaJ9m36exCnmJ55s4NbPhTMGYhNsP9jxd29a/Z2kfSzvibd9T9zdrzP7Eqc6kf6tU8GbqpXx4vfAKXyukS/hBtLP1z0HBo6i899lvu7EvrvbXNrnh8hkyve0r+vPzt43a2Jo8YZYKpLfm4Z0yUJ+bkZgEAFK1b772H/m1+briPzlypqJzl9Noq+WR9OSrbEcZXz9Gffsg4MG/DLbnnuImvDrcc7Pvaw5C1DmLLlc/tzYqJRCiZ2rJ7P2qknPT6h+1/FcHLLyq+cpId59BwtkCfBinZ89iHoGZHa9fEPrF+NED4ifhddM2jXKxZG/eUuu3Zdd5rG111eax8l83dl7Yu3fc/dr+/MV+tBPhz7G+r+L4Un3LCQxMf+++7ENTmbq70n5mUlJjg7i/WKee772557fvc89/1TOPRBx6SjduXWV8hSuSM37fEG1Wr9JYWf+pl9n9bmvcy/hRiTFXnQsGnGFT86UvyXxlq3tSPHy6zmykW/O7E6/x/w+fI+Qzgs+4NAcPnyYnRQ4fQDO18GDBzkK98QTT/C21157jbJnTzlhpk2bxlHAV199lb8uWbIkR9xQoADOnTvHjhcclPLly/O2fv360bFjx/hnNmzY0PL7EfErWjQlLA5nEanOwoULU6FChfiRP39+/t9d569Pnz7Us2dPypo1q8Xu2bNncyGKaQvCwvgbs2XLxrbD6a1duzZ17NiRX+/evTv9/vvvFB4ezr8/c+bM5Ovry6lYd9O2o0eP5oioCewaMGAARUREsKYPDiD2uakjxHPs0+LFi3Pkz5q6detyJNOMPBYpUoQWLlzI+9wViHimxsaNG22+Nu7RXBMRvHtxfO86Wj5nOBUtXY0adxnh9Hsiwk7R4s9e4KrLTgOnufVz+fffwwdzFhy+l9tmvmX59kRKSvKhTk/7UJf6mSg+EVWwSeTv68XP/yv7vO7xHtzAItoJUJk7d1WsxWZEB4d1y0rVyvnSn4cS/pv95+Z7vt8YS8nJBoVeSTmHTl1KossRKfbVrOBLf/yTun33PPcyPdh9cVJSyu8NyJ6XmveebjnXEFFcNuM5Ctm7kirU7ubidzr+/akdr9SyE6md4maGqnABX+rRNg99PPsyRTtxMFPjXhWpzgIh93s+RNxKosnf3eIoY4ens9CbvXPQ+HmRTvV6D/N7Ut6TKc1kOPf6WQ967oF6nT/gdS5fkSD+umDJ6vRYgSdo1Vc96eTe5VS+dnf6L7jXmgopTqonpcKqW0OaPKcdcCDg1JmOn/nhq169OjuGcP7y5MljcfzM98AhsQaRMdP5Q5QKWDs/ICEhgXLksK1UKlHi31RP+/bt6ZdffuGIIn4v0rJ47q7zh+gaficcT9iAyCIcTmCtA8DfA8fPJEuWLFSs2L+CXDh7AFG6BwFOJoo1EA09ffo0O8OmHYi0AkT44BBeuXKF7V6zZg0NH+5cO4K/CVFRRFDPnj1LJ0+eZAexVCnbdOvD4B+Qcnyh77MmLjblztDfLiJoz64N8zmaV6xsTeoyaIbTCt5zx3fSki+HkJ9/Fuo5/Bt6LJ/7IujYu4fCnyNx/y5M/r620TKb99hEBf993YxymT8zPpFoyR+JtOqvlMram1EGb6se6O12KxWkj61/9r+/y3XVq7nNpX1xhiXacfRcotV3EJ0LS+ZUq1lscS9sf5cT+5ztP5u/yfX+O3vZMfpy5nIS21eYU3SpO39m5SM0VtaYUZcHqYzk992NHBYNfNrmgligeGX+mYjMuOLZVrnpudZ5bLbt2HubcmZ3vEdH1C/aRaUvQBWws8hgQIAXO3pwKof0KkA79kXR/mPRNtdlvIavU5MxxbiI1plfp3buufueyCiDIqMSKeR8Str/jZ45qFo5P4e2MPaYjqz958KM+EU7aQMU8wDveVDMaLP9uZdgnnv+Dx4BK1CsiuO24lX53Lse9t91xUiMTIlm+mS31aGa0bzEyChLxM/+e8zvM39GWmN4YMrWYyN/ru58sB2pSWtnyNo5tBdVIjJm/zORVjUjcCZedncc1j8bThBSy/v27eMoIJxPOJRIoZpRxtRApK5bt278c6AXrFevHmvroGV0Zasrux4G6AORNkeEE3pGaCMRlRw8eLDle+BcI8IJRxVOXGxsLKeX7cF+hhYxJCSE2rZtS61bt2bdHyKL9xPZuxdwxDJ5edONqym6EJMbV1MKMvIUTNGR2INjvf6HD2nP7wuoQo221LbvR06r3w7vWkWr5o+iPAVLUrchs7kf4P1w/bbB2jwUaVhjfn31puN5bOqX8mTPxFXCju9JeR1FHbjYhV41LD8H7V5yZEXVr3uL0bXIZLbPXnuISAm4ct3x6m1q6fLl9KKL4clO3xMVa1AyPot3I4DWYNO9Ii/29plFGibm12FO7LtyI8liD6qEHd+TxM5j5Sd86dyVlGifCaz18SKKirn3/oO+Cude5DXb4p9bd79+LP+D3eRwHz+sVYmODgraeHin0mJo3fZI+vuQrUNQKzgbF30gMGW9bD6ez5eLN1xx6Uo8lSzq+Lsez+tLIefiKM9jPhRYMoAfjWrZ3hyjlQweL405Q+HXnR/s8BtJfGzz57J1tE1NprPU6JW723AsUSX873tMrR8i30TBZfzo7KVEy2cJhIal2JEz273XTNM2e90hKobB5WuOf9Plu7bhPebvutd7HpTsuVPOvVsRdufe3a9z5Xe+7rmTTj57aB3lLRJEuQuWtYm6ISL9ID3+3CXqRIqOL0vp4nRr/783OFlLp+gao46doqQ70RRzIYy/xxq/fLnJN0c2/h4hnWv+kEq8ffu2TQoRF/Q9e/ZYUr72lCtXjh00e52bSZkyZSzOGNKY5gN6OjxcAW3f999/zw4T0rXQyiEtunp1Smn6vYAjheIV/Aykk1G4gWIJ8296UNxp9GkNCkzQn88sLkGUFAUl1nbgZ0IrCW3jr7/+ysUe1tFIE2gVt27dSlOnTmUNJKKjiFIiqvko0x+I1BUrU501e9Y/9/je3zgqWKhksNP3bVk2hR2/mk37UfsXJjt1/E4e3EIr542kIqWrUO8R39+34wfQxuVsmMF9+6ypWDLFcbsQ7rgvrt8mun7LoCdL2r2nhBc7Qzfvyl1qlfOi1rVs773qVvTmCzxar7hr36mLSVyZa98nDxEwOEf2oBAFdlQq4+PwHjiGcHihaeSfW9qHK4pNyhb15iieu9W+pn342Ta/q4xvin1hru2rUsb2b0I/uKs3knjf4uc+0ygzt4uxBv0KoZcMOZ/o1rmHytszh9bZnHunD63jKEm+os7PvXsBzWDKz13PVZ0mF0L+pMT46FSrfW9EJtGp0Dibx/6jdyhLgDdVKf9vhW6ObN5U4YkAmwpgexDNQ7EICj9M8Lzo4/782o3IRHrj41CHh+mE4jm+xxU4BtjPVQJtP3tVA/048nbmkuN74cyF30zi6J3te3y5sAJFHug/2KdVVmpey/bmv0LJlPPh4tV7n3u4OTl+LoGqlbc9P6qXz8y2nb7oGBVG4crVG4lUvUJmh/eERSRaCo4eBTj3CpaoTmcP2657Zw7fPffupmzvFy9vP9qxcjz9s2WWzfZzxzZRUkIsPV7qv+vfGn0qlKJPn6fHO7dw6P0HxzDm3EX++tqG7ZS/dUPy8vv3812wcwtKTkyka7//RSowMmjBh5LIH6JjSFMi5YhoElKipp7svffes1SoWoOiCjhlKKRAFS/0gXiPtfPXqFEjfj8qafH12rVruZjjo49S+g45Iy4ujn8mooWIjIWFhXGxCZ67Q8GCBTnCht8FBxIpV/P3PWgK10wLozAFBRmmPjE1oOlDtS8KS2ATqnbhvNnbAecP1czY1/jfGSi0QQQWaWFENOHcfvnll+xYP8zf5IynWr9C33/Wj5Z9/ToF1+1CF07to7/Wz6FGnYZzq4y4mCi6dvkkRwnRv+/K+aP052+z6PESQdyr79KZA7a2P/4Eefv40poF73DhyFOtXub3W5P9sYKU47GCbtn3+/5E6t/Kl7o39qE9J5KpWP5MPJXjt91JXLiBSEX+XKiMNejOXT36pv2J1LU+HJyUvnZo8hxcypu+3/TvRWfHkSTq39KPWtfy5pYvpQt5UcPKPrTlQCI7kO6yblc8DeocQH1bZ+bWLCUf96bG1fxo5fZ4vgj6+6GCFo5nShsZ8NvOOOrZPIBTWQdPJ1JQKR+qWtaX5q/+t5J71fY4Lu54uUMAbdoTT9mzZOLm0Ui34j3ugt81uEsW6t86gP46kmJfk2p+tOKPOLYPUTxU+MLhMyN2a3fGcdNp2HvwdAIFlfZl++atjrY4Huv/jqM2dTLT7ehkOnImkSdMoOch+v6duOCec1q1ySu0alY/2rBwKAXW6EJXzu2jA1vmUK1WKece2gph8geihAHZcrv9N9dsNYxWftmHVs99iSrV708xUddo5+pPKH+xSlS8gm2LonuBnn4HT0TT0OcL0rfLrtHtO0nUrXUeuhOdRGu3pdxkmo4dKlzRyw/8sTeKujTPzY2eFyxPKebo3SEvnb0Yx5W9SKLAuXTG9chEl69Zs3pHDA19Lju91DEbbf8njkoX9qFmtTLT0s0xlmP7eF5vrgA2j+2v22Oob5ts/PU/IQl8I4DmyrOWRVmO7Zo/Y6jd0wGsOT0emsCFRm3rBnBPwEOn3ZsCsXJrFI3o8xgNfiYnbd0XQ2WK+lKrulnopw1RfHODVHPhfD509Xoi/x6wYssderFjToqKSab9x+OoSqA/T/yY+dNNetSgYnfN3P5ciVu2Wme6GrqPDm6bSzVaDCOfu+fezasnOUro7rkHp7JS/Re5h2DmbHmoaGB9uhF2gvZunEHFyjehQqVrPzL7kbrNVuEJdvpQrQtCPpxBleZMpITrN+nKyk1UoH0TKvRsa9rbY6jlfacmz+YpIDVWzaYzn82jrGVLcH/A87N/VNbjL1k0f2kHihMQqYLThdQqHAq0SJk/fz63KXHm/MFZnDVrFhdKwOmDc4dKXlT2mqBlCR5w/hB9Q7Tqww8/ZIfHFXAo4dzMnDmTI2XQzUHzh4iXO6CIAsUrEydOpKioKE6r4mciBQoHFYUcDwIKQdDaBmlXROoKFEg9coWo5bVr13ifAERQJ0yYQCNGjGA7UE0MoGWsWbMm6/hQcOIM/C78PYgiIo2OohOkkxFRhA7wUVKiXB3qPHA6bVs5jX75YjBlz1WAGncZSbWa9efXw0IP06IpfajN8x9R8FOd6fi+dZz/unz2IH07yVE432PYtyzgjYoM568XT035OdbUa/sqPd1uiFv2nb5s0KKNidSkqjf1aupDt+4Qrd3173i3Qnky0YA2fvTz1gTaG5ISHcD/Pl4JVC8I1by+dOO2QT9uSeApISYnLxq0+PcEHgFXs5w3a/5W/plAfx65vwhDyIUkmvdrLDdlfrFtAN28Y9CKbXH0+76Ui2TRfN40pGsW+m5dDO26O74N//t4x7KTWKuCL0dcFvwWQ/tC/nXqzoYl0/Ql0dS2jj/1bxPARSjoJ7h8W5xTwbwr4IjNWRVDrWv7s32Rdwz+GeZ4N1zYX++alRaui6GdR1Jsxv/o1da4qh/VrujLjuG3a2MsDZ7Bbzvj2YF4OtiP6gX7saP4x8F4WvOn+yPACj9Rm5r3nsYNm3/7ZjBXU9ZuPYIqNUg5Z65dPMwVug2fnUCB1R0r4l1RsHgVajfwG57qsX7Ba9ywt0TFplS77Ujy8rr/iRCTZl2mfl3y0fOd8nL699jpWJo8N9xmusfAbvkof25fGvheSquNxESD3v/8Ir3YNR8N6l6Ap1Qg4jfvl/BUtXz3w/FzifTV0ihqVy+AXumcjW5GJdMvv8fQhrtVucUK+tDwHjlo/q9R9OfBlOON/3287/DoNrRwQTRw7soo+vvYvzeVq3fEUlS0QQ2r+fP3oaXK1n1xtPIP99tMHT2TQJ//EEmdGmWl157LRTduJ9GP66Jo7Z8pNxAlHvehUX1z0+xlkZbRbPgfUoeWT2Wh+lUCONL89ZJI2nX4/sbKuQMcsSY9prKjtmHhq5Q1RwGq2XIEBT3dj1+PuHSEVs9+np7uMoHKVnN9/bKncqNXKHPW3HTkr0V0bOdirg4uV6sbVW1ybwnT/ZCjSkWqs3EBHXhhFF34dilvw/9e/n5U6v/6U5G+XTgSiB6Bl39aY3nfneOnaWer/jzereoP09hxPDN1Pp14fxqpwvDAqN2jIJORUWebCEqY/2/XHe3o25Do7TmPfqF/FEx4wZ9en6pGEO0OU1/PTkM+s+0hqRPTh+agKcv1XOqGdchEnV4NIV1Z+nkZGjjRvVm/KvhqVG7q+777bUnSmvnvF6CPf9GzCfDILl70q6/7vWTTmjYJ//3o1ua9beVkD8q6BY7FNjrj0bN9BUEQBEEQHhTDA6dzPArE+UsFpFDNiReuQDEJ+vb9l0B/aLZrcQY0k9D7CYIgCILgPkYGTfuK85cKaMqMdiip4W4/wIcBDmZq2XloKAVBEARBENxBnL9UuFeRRVph3QxaEARBEIRHgyHVvoIgCIIgCBmH5Aya9lXS5FkQBEEQBEFQg6R9BUEQBEHIkBhS7SsIgiAIgpBxMCTtKwiCIAiCIKR3JO0rCIIgCEKGxJBqX0EQBEEQhIyDkUHTvhL5EwRBEAQhQ2Jk0IIPafUiCIIgCIKQgchkpDY3TBA0pUmTJvz/xo0bSUd0tk9n24DYJ/tOzj35XAj/LRL5EwRBEARByECI8ycIgiAIgpCBEOdPEARBEAQhAyHOnyAIgiAIQgZCnD9BEARBEIQMhDh/giAIgiAIGQhx/gRBEARBEDIQ0udPEARBEAQhAyGRP0EQBEEQhAyEOH+CIAiCIAgZCHH+BEEQBEEQMhDi/AmCIAiCIGQgxPkTBEEQBEHIQIjzJwiCIAiCkIEQ508QBEEQBCED4aPaAEFwxe7du93eOTVq1FCyIz///HO3v/fVV1+ltERn20CfPn3c/t5vv/2W0hKdbXNGYmIiRUREUFJSEn9tGAbFx8fTwYMHqX379qrNo2PHjtGJEycoOTnZwb7x48eLbS6Ii4ujH374gfedeWwB9t2hQ4fot99+U7rvdLdPcI04f4K29O7dmzJlysQXitTA9xw9epRUsGTJEre+DzamtYOls22gcOHCpCs622bPH3/8QW+++SZdv37d4bXMmTMrd/7mzZtHkyZN4ufWn2c8r169utiWCnCMly1bRhUqVGBHuUqVKnTu3Dl29Pv27at033mCfUIqGIKgKRcuXHD7IQgZlU6dOhkvvviisWXLFqNy5crGhg0bjG+//daoXr26sX79etXmGU2aNDEmT55sxMbGGnXq1DHCwsKMY8eOGW3atDHmzZsntqUC9tfKlSv5edOmTY1Tp04Z8fHxxuDBg41x48Yp3XeeYJ/gGtH8CVpHX+wf+fLl41RDgQIFKH/+/JbtuqWrFy9eTFFRUXTy5ElOyemCzrZdvXqVU9XDhw/nyMHatWvp9OnTpAM624bjCLvq169P5cuXpyxZsnDUfNSoUTRnzhzV5lFYWBg988wz5O/vT+XKleMIUWBgINv3888/i22pcOvWLapatSo/f+KJJ+jIkSPk6+tLAwcOpN9//13pvvME+wTXiPMneARIFU2ePJm1fW3btqXLly9zquudd96hhIQE0gE4VN26deML79ixY+nGjRtsM9JuV65cEdtSAamidu3a0dKlS1knFB0dTatXr6YuXbrQgQMHlO47nW0D3t7elD17dn5evHhx1l+B2rVr06lTpxRbR+yMmnqwYsWKsbMKSpcuTRcvXhTbUiF37tx8swFKlChhObaPPfYYXbt2jVSju32Ca8T5EzyCBQsW0PLly+m9994jPz8/3ta0aVPasGHDfRU2/JdMmTKFdUzr169nrRUYMWIERzw+/vhjsS0VJk6caDmeiByY+7Nx48bsQKtEZ9tAmTJlaNOmTfy8VKlStGfPHkvETQcQGfr6668pJiaGtWGwFYUfsDNr1qxiWyogmosbyZCQEKpWrRqtWrWKI6ffffcdFSxYUOm+8wT7hFRIJSUsCNrQunVrY926dfwcuqbQ0FB+jm2NGjUydKBhw4bGnj17HGzcu3cva2PENtfUrFnTCAkJcdh3J0+eNKpWrap03+lsG4Cur3z58sb3339vXLp0yQgKCjIGDBhg1K9f3xgyZIhq84zjx48bdevWNWbNmmVERUXx57VatWpGhQoVjE8++URsS4XIyEjjlVdeMRYuXGgkJyeztjMwMNCoWLGisWrVKqX7zhPsE1wj1b6CR3DhwgXWM9kDDVF4eDjpAKotoUm0J0eOHJwqVInOtgFEgsw2INbcuXOH05oq0dk2gKjkTz/9xLY8/vjjNHv2bK6wbdKkCb322muqzaOyZcty1BTnGSJ9P/74I61cuZJtbdmypdiWCvh8zpw50/I1IqjobJA3b17WPKtGd/sE14jzJ3gEKOpAOqFIkSI227du3UpFixYlHQgKCqI1a9bQSy+9ZLMdKRCku1Sis22gXr169NVXX9H//vc/y7abN2/y19CuiW2pU7FiRcvzmjVr8kMnIIMwpRBwDPr160e6oJttKMpCyxQfHx+XvU5x4wEtqor+prrbJ7hHJoT/ZGcJuvPLL7+wIzBo0CDWW7399tsUGhrKWkBUDXbv3l21ibR3717q378/OzJbtmzhIgEI7g8fPsxVl7Vq1RLbXICCGDRWvn37Njt90K6hGCBXrly0cOFCpRXdOtoGe6B1ReTF7IepUxNqROnRfzBPnjwcnU/NvrTu0amzbQA2bd++3cY+Z5dpVf1NdbdPcA9x/gSPAZ3kv/jiC4uQHZVmAwYMUH6nbj/JYO7cudzyAKlCiPHhEFaqVEm1aVrbBlAQAME4LhimfR06dKBs2bKpNk0729566y2udMfvx81Pag7MRx99RGkNKqPbtGnDxVl4nhqdOnWitERn2wBuLAoVKsTH9F7V0CpuPHS3T3CTVPSAgqANFy9eNJKSkvh5RESEce3aNX6ekJBgHDhwwNCBpUuXGnFxcQ7b79y5o7yZrc62gVGjRhm3b9922H7jxg0WlKtEZ9sAiih0ZseOHYau6Gwb+OyzzywFRjqiu32CayTyJ3gESNUg1YBonzVnz57lCIyqfmsopIiNjeXnENijaS16XFmDSNuwYcPon3/+EdusQKuP8+fPO0SyrEHaHKnVffv2pem+09k2e6C/at68OUepVOsjXX12UdzRsWNHtlEXja7utpnFPIiuoV1O586duUBGdXscT7JPcI04f4K2oBgBaUqABQaLtJeXl0OHeYi0UcygAsy1NNNu0L04S79he4MGDbigQWyz1Uj26NGDn7vSDaFBMFLTaT17WGfbnJ2DqJ7966+/ePKNbo4MPruwD2lzOMxwFGBfq1atlDsKOttmfS7CPqxxuNFs1qwZ21inTh3SAd3tE5wjzp+gLdBZoVACF94ZM2awts9+QcbXiHqo1Jag4g06sOeff56mT59OOXPmtLwGxwFOAtpdmA2CxTZHIByHCB+OvG7obJs1mKiAizCcGUSbzWgMJpHoAuyCfRiPh+IZfHYnTZpEOqCzbQCjGHEe/vrrr7Rx40YuODKbe+uA7vYJtojzJ3gEqGx84YUXKCAggHRl165dfMFFCwTd0Nk2Z6l02IlKVt3Q2TYTjDtELz1UxaO3nm4Vl6h+h4O1aNEivjn6+++/SRd0tg3zpeFYYcQg2l6hnQ/6OeqC7vYJtojzJ3gM6B21YsUKnh+JCzAqLlu3bq1FNajJoUOHOFpp2ohh54gIBgcHqzZNa9vMliRoEmvOCkWkDQ5/3759VZumtW0mcFTMyBVm6bZo0YIjfxi7pRroJ2EbHuj/hrZHSE/DRrPHntjmfF44nCnsN2QYUGWLlCoekMGoRnf7BNeI8yd4BJcuXaJevXrxxbdkyZKcZsVFBL2mcJeuwxxJRNegAUOKt3r16mwj9DBwtr755hulF2GdbQOLFy+mDz/8kHV2aAyLVD8uJtg+ZswY6tq1q9jmgk8++YQjLmiBhH2HCy+E96qdKpNnn33W0qDd1CPCSdABnW0DuDGDXAQpaKTv8dnVCd3tE1IhlUpgQdAGzCjt3r27ER4ebtmG5z179jSGDRtm6MBzzz1njBkzxmH7+++/b/Tq1ctQic62gRYtWhgLFixw2I6ZoW3btjVUorNtoEmTJsb06dONCxcuGDqCVjm7du0ydERn28CSJUuM6OhoQ1d0t09wjUT+BI8Ad5So/LVPUaJ9Cho979y5k1SDZslLliyh0qVL22xHFSEiVypbguhsG8BxRbFCsWLFbLZjikvbtm3TvE2Op9jm6SBaqUPUXmfbUEiBjAdS+QBR8fj4eI5Ytm/fXrV52tsnOEd/9bcgEPHQemfFHv7+/rzQ6AD6+924ccNpkQCmCahEZ9sAUm3QJNo7WLiAqK6y1dk2EBcXx9NvkMI3L8AAnwvYDU2War0fqmat7TMdBJx/qLIV25yD6tk333yT95M9SOurdq50t09wjW3TNEHQFFSqzpw5kysZTfD8yy+/5Nd0oFGjRjRu3DiOppmcPHmSxo8fT40bNxbbUuG5556jsWPHsn4TY+jwQJ/HDz74QHmrEp1tAzi/MPc6JCSEli9fzhHJbdu20erVq5WfdwD76fjx41zcgTnJGK1WsWJFbk3z/vvvi22pgIrtChUqcI9QOFPoeoC55ihywzFXje72CamQSkpYELTh5MmTRvXq1Y0GDRoYgwcP5kf9+vWNatWqGUePHjV04ObNm0anTp2McuXKGTVq1OAHnnfs2NG4fv262JYKGN03fvx4o2LFirzPAgMD+fm4ceMsY/1UobNtoE6dOsbKlSv5edOmTY1Tp04Z8fHx/BmBjaqpWrWq8ddff/HzDh06WMYxTpkyxRg0aJDYlgpBQUGW9Q2aZ3Mc3c8//8w6XtXobp/gGkn7Ch4BtGqYZIDoCyIcSBu1a9eOunfvrs3wcDR3xng3RF1MGwMDA6levXoOk0nENluwfzBC7fXXX6fTp0/ztlKlSmnRxkdn28wpN2b0G+17kEaFfQMHDqShQ4fSu+++q9Q+pHfNlDkq9REFhI4S1bW9e/cW2+4hd8mePTs/L168OKfOMTkDY/x0aECtu32Ca8T5EzwGOHkjRowgnYGjgFFueOiGzraZE13OnDnDzgIcZ+vmxGhhIrY5B/OuIbiHNrFEiRJ8ATZ1nkit6vC5hU3o+wbnzzyuaDeE3p1im2vQyxRTMuAkw6HHzGn05kQxig7obp/gGnH+BI8AMyNnzZrFAnY8t5+1iia8qkHfQURZTBvtUTlpQWfbwJYtWzhK5ezYYtKCSvt0tg3Ur1+fNYkfffQR92ucMGECz1eF5k+HalX0zhs5ciR9/PHH1LBhQ+rTpw87qtu3b+fIuNjmmpdeeolee+017qWHynKMj8Q2RE8RXVON7vYJrpFWL4JH8NZbb/HFrG7dujazc01w4VMNLmrh4eHUrVs3pzbiIqgKnW0DuHAgajV48GCno9NUpvZ1ts1M+44aNYo/G2iSjYsvpAeY4oLUGwosVAKHGY3EsQ/h/GFSCgoEEAlEUUD58uXFtnuMnEN6FTOm0awdI9Ow7+B0YX6uanS3T3BBKnpAQdAGFHZs2rTJ0Jng4GDj4MGDho7obBt48sknjbNnzxo6orNtzkhOTjYOHz5sXLlyxWY7RPhRUVGGrqDhckREhKEjOtsGmjVrZly8eNHQFd3ty4hIqxfBI0B6DWJ2ncFdLvoO6ojOtgFEhRCZ1BGdbXP1WUH7jfz589tsx/g8Z/3YdAH9CFVrAD3RNoDz07rHo27obl9GRJw/wSOAhgkTKnQGs4c//fRTio6OJt3Q0TbMazYf6KU3evRobhqLpsDWr+Ehtj089npF3dDZPp1tE4QHQQo+BK11fia46166dCnt2LGDIzH2rVNUaf7QRBeRFpOLFy9SrVq1ePKDvY0bN24U21LZd7jAvvjiiw7bVBRV6GybIAjCwyLOn6AtFy5ccJjvC1REglyBQglrh0AndLZNlwptT7RNEAThYRHnT9CWBQsW3Pd7fvnlF2rZsiVlzZqV0oIhQ4Y8UEQT/QrRny2j2gZq1qx53+9p3rw5zZ8/n1uFZFTbBEEQHhbR/AnpCt1F7bqLx3W2TXfhuM62CYIgWCPOn5Cu8ARhts426mybkL7RWaKgs21A7BPuF3H+BEEQBOXofOOho20Yg2iCJsu6Yd0eSUf7Mjri/AmCIKQTbt68Sbdv33b6GiaUqJy4cPbsWVq3bh1t2LCBLl++7PA6JkMUKFAgTW06ePCg0+3Yh2+++aZS28CPP/7odPu+ffuoQ4cOlq93795NRYsWpbQG01mcyWxQrAcNrGr7BNdIwYcgCIKHM3v2bK5QNqMtRYoUoQEDBtCzzz5r+R60qlFBVFQUDRs2jEfOmRE0pClbt27NLZr8/Px4W+XKldPcNuwTFOlYj5jbtGkTjRkzxka/qcI28MEHH/CYvs6dO/PXcXFxNGXKFC6GwxxnFfz888+0YsUKfo7jiZsKzPa15urVq05HIQr6IM6fIAiCB4NZuTNnzqTevXtTlSpVKDk5mfbs2UMTJkzg160dQFVFWGfOnGE7Tfv27t1L48aNY0cGc4lV0b59e+rbty/PHsY8Wti0atUqnuf89ttvk2omT55MI0eO5J6hcOhhE6K7Y8eOpWeeeUaJTU2bNuXzy6RgwYKUOXNmm+8pW7YsdezYUYF1gruI8ycIaYzO4mydbdPdPlW2fffdd/T+++/bXGxxgS5dujQ7XKqdP6R54ZzWqFHDsq1hw4Yc8XvjjTeUOn/vvPMOR63gACLCBptmzZpFTz/9NOkA2lbBruHDh1NCQgKnUt99911uIq8KSAesm+pjH2bLlk2ZPcKDIZo/QUhjdBSP62ybzsJ2HUTtkZGRVKlSJYftcLauXLlCqsF+yZ49u8P2fPnyUWJiIqkGkTWMF4R2DSMQdXH8rB35adOmsWMK50+l42cPnEA4fteuXXMYyahTM37BkUyGjqu9IKQC0h6uLijQPnXr1s3pa2kpbD9x4gSnaipWrMjpJGv2799PFSpUsGid0krYHhQU5FTYPn78eJo0aZIy20xhu7MIFYTtSHWtWbOGVAE92Pbt2x0aX0PU3q5dO7ZRJYgK5cyZk3Vq1nz++ed06tQpdmhUgqgf9t/UqVMtjgt0gCiowL599dVX09SePn36ON2Ocz9LliycslQ56aVcuXJOo8jmOEFrVI8W3LJlCzeGv3Hjhs12GX2oP5L2FTwGnUXtQITt6UfY7kmi9jx58tD333/POixMJsF+PHToEP3999/UpEkTmxnZKmZg//HHH3zzAVswlxv24QYJzcThvGBmd1rOvy5cuPB9bU9roNXUWd5gr+cMDg6mHj16OOj+BL0R50/wCHQXtQMRtqcfYbsnidrhQJnVqMeOHbOZhY2UMB4qeeqpp/ihC84cYEgLzGg3UuUq2rqYmDdA1tF5RNaKFSvGX6NdDpx8lW17rG+AvvzySypVqpRqU4T7BWlfQdCd+vXrG0uXLnXY/tNPPxnNmjUzdKB69erGrl27HLZv377dqFOnjqGaSZMmGbVq1TLq1q1rNGrUyNi6dauhE+vXrzeCg4ON8uXLG6+//roRHh5u6MCoUaOM27dvqzZD+A+IiIgwevfubUyZMsWyDZ/Vfv36GTdv3lS+zw8dOmTUrFnTmDhxomUbPrv4DJ84ccJQzcCBA40VK1aoNkN4AETzJ3gEiGwgPVSyZEmb7efOneN2DQcOHCDV1K5dm3uGQbNjTUhICPXs2ZN27dpFqvnss884ioo0obMiAdVAQ/T6669zRBd94HQConbr4hOTQoUKkWoQ3UMq1d4+pA8RAVTN5s2bWQfrzD6k1FXqJUNDQzlqb2r9Dh8+zNXTZcqUsWQWVIFMByLhiICbkUkUyYwePZojlHPnzlVqX1hYGHXt2pUju2jibJ+uTms9p+A+4vwJHoHuonYgwvb0KWzXXdT+yy+/sHOAViD29Xs62Ac956JFi1ib6O/v72BfWuj8XFGrVi3u8Wd/wwbN5EsvvUQ7duwglUDiAu2p/XQM9E2E02UtTVAB1mMUaz322GMUEBCg1bEVUkc0f4JHoLuoHYiwPX0K23UXtaMNCEZ9oVedjvb9+uuvHElDOxXdwBQPZw0vUNwTExNDqsmaNSudP3/ewfmD1i6tK/KdgYbYWG87deqk2hThPhHnT/AIdBe1AxG2p09hu+6i9lu3btELL7zAlbQ6ghs1RNh0BL0QUVWOzIHZqBhV+2hLY92UWhUtWrTgqC6cZ9yAAFROI5rarFkz1eZxtK9q1aqqzRAeAEn7CkIGAA1shw4dymmk//u//7M4q0h34cKHlLpKoLPq378/O4To/wYaN27MGrF58+ax/koVL7/8MrVp04Z7+unIiBEj6Mknn6Tnn3+edGTGjBmsq8PoNB2iVdbALuhx0XbGdJ6hncQNB1pLqXb4o6OjWQOLucjWUXI4foicq56sgWOLFDSOrX3aV9Abcf4Ej0F3UTsQYXv6E7brLmpHZBKOKca5IWpqb58qGYTJ6dOnqXv37uzIYKqHvX2qdWGIOCM1jcIsRCmfeOIJ3p86pdCxD1Ewg3Q0jrMuUd5+/frR7t27LdIc7D+djq3gGkn7Ch6B7qJ2d4TtKqsaoUeEsN16egGmj7z33nssbFcN9JuIZFhHhnAhgW1wvFQX8qDSF9EXZ6J21c4fJrQgcoWboosXL5KOkUk0w+7SpQtP0NANTAPSUY9oDSKQqqOQzkADdhVN2IWHR5w/wSPQXdQORNiePoXtuovat27dSl988YV2M2lNEFHDxBTrGw+VYLwbugTAIXU16k3leDeMvMPNGm4iXVXEm6i+6VV94yM8OOL8CR6B7qJ2IML29Cls113UjjYbOvQadAXSlPj86gLGuGGSDMB+063iHBFwcza5J1TEowAPKWlMXQLIzCAKjc8votKCnojmT/AIdBe1AxG2p09hu+6i9h9++IF+++031kdC8+ft7U06sXr1am4ujps32GevC9OhqlZ4MFCMNWnSJH6Oz60pyTF12JjNLeiJOH+CR6C7qB2IsD19Ctt1F7U3b96cLl26xD3rdEwN2jdQVq3XNY+lO6hwTJGSdgfVOmJzBnarVq04/duoUSOewoSZ3GjKD60uZDqCnkjaV/AIdBe1AxG2p09hu+6i9ldeeYV0RrVz7Kyy3DpK5QpVhWRLlizxGOcPlfDPPPMMF7jByUeqFw7hqFGjaOLEieL8aYw4f4JHoLuoHYiwPX0K23UXtetaiGKtsdMJ3ZxRezZt2kSeAqq3zYgzMjInT55k5w9Re11v0oUUxPkTPALdRe1AhO3pV9ium6gd4wzfeecd1kJajza0B/sU+zatwchFVPjic4tm3akd27R2xuyd0V27dnFPSfRxBNCwwX4deofiPIPmNG/evJZ2NN26deMUK5qPqwaFUF9//TXP+K1QoQIfc7RnwhhOVPAL+iLOn+ARYKHDjFVdRe1gwIAB9Pbbb2sjbLfWQSIFo3PEyn7UmyeJ2lVw4cIFiyOK5zoeW7MlE57r6tijPRMmymDqjen8IWIFrRqKVBDFUgnGzC1evJiLjUxat27NWRCg2gEcNmwYT+b57rvvuJE3xiBiJCPmImMdFPRFCj4Ej0B3UTsQYXv6FLanF1E7GqW3bNlS24gMIpjQzebOnTvNfieKyBBJ69Wrl0N/P+yv5cuXk0oaNmzIkeV69erZbN+yZQu3QdIhhR0bG8vV+jhuaIaOvpgFCxbkc83k3LlzPMFHx5v2jIpE/gSPQHdRO9BhIbZGhO2PhvQiakfkHFEZXZ0/tKsZNGhQmjp/mO3boEEDh+1w8j/55BNSDW4ynGkmUQUfHh5OOoAIrxnlRXra2ecB0V840vZN3AV1iPMneAS6i9qBCNvTp7A9vYja71XdmhHte/zxx7n1i71Tsm/fPp5DrBrcbKD6F1Fma+BIYQaxp6D7uZcREedP0BbdRe1AhO3pX9guovb0C3Rq0NMhAlipUiXehsgu5mAjCqkayB0GDhxIf//9N1WuXNli3/79+/nzIggPijh/grboLmoHImxP/8J2EbWnXzAxCFXb0PihWAHkz5+fC0DsdYAqQGsrFFMsXLiQ2yKhiAwRZ1TVpqYxFoR7YghCOuLnn382oqKiDJ0ZNWqUERERkaa/s23btsaCBQsctn/zzTdG+/btDdU0aNDA2LZtm8P2zZs3G40bNzZUExMTYzlm4eHhxrx584w1a9bYfM/Zs2eNxMREQ1cqV65shIaGGrqi2r7r168bt2/f9sh1RcWa4knHVnAkZbq1IKQTIGq/fv066QyE7ZhWkpakJmw/e/YsqUZ3YTsE7WYhgilqt65mNKPAqEgXPBP0JHQ1Q1r3dUXFmiJ4NuL8CekKTxAWqxS226ObsN0eTxK2e8K5pzO69gL0hGOru32CfojmTxAyACJsF3RHHBhBSDvE+ROEDIAI2zMGKF7w8/NzWTmaK1cuUgVS4qdOneJJN0hRYqaz/SSVAgUKKLNP+O+oVauWpRegoAfi/AlCBgHj5/C4ceMG+fr6OtU3qZwCUaVKFX7oNgXCE/j+++9p1qxZ3JAa+q/Zs2ezI2XdruTFF19U5pBihNqaNWvIy8uL7cO4PDiA06dPt5yHZisTwbNYuXIlO/SY6jFz5kxavXo1t0dCmy40RgdmJbWgD6L5E4QMhgjb09/FF9MoUHACpx6gHQguuHPnzlVtHrfrOXbsGPfOM50BTJ/ByK/JkyerNk94CODswclDVHfPnj00bdo0voHbuXOnHFvNEedPENIYEbY/OKILcwQOHi7AQ4YM4cga6NOnD40ZM4Z++OEHUs2vv/5Ko0eP5tSfCZ6jgla3kYieiqo1BZkCRHER6UNEF9Fb9OrEsV27dq0SmwT3EOdPENIYcWCER8mZM2eoevXqDtvhYF2+fFn5zr5y5QqPxXNWgR4ZGanEpvSGqjXl6tWrFqnGjh07qF69epZje+vWLSU2Ce4hzp/gcUBD5ArVonaAFMi2bdsoNjaWIiIiHF4XYXv6RJWoHX0H4QA6a+ODaRWqQQr6zz//dBoR1KmNj87riq5rCnR+OPeQwsfM67p16/J2jKPDa4K+SMGH4DHoLGoHImxPv+gsascM5A8++MAy//r06dM8Cuyzzz7jKm/VIB2NcWlwDpKSkmjp0qXsMOAz/Omnn6o2T+t1Rfc1BXO4hw4dyhXmgYGBHAXEOLqPP/6YXnvtNSU2Ce4hkT/BI9Bd1A5E2J4+0V3UjgpuzEHGDOKYmBgaOHAga67atWundCay9RQZ7LNDhw6Rt7c3zZkzh86fP8+OX4sWLZTapvu6ovua8sILL9DEiRPZOZ4/fz5vy5EjB2s88ZqgMU5GvgmCdnTs2NFYsmSJw5zIn376yWjevLmhA82aNTO2b9/uYOOOHTuMevXqGZ6A7jM4q1Spkub2Ybbw6tWr+fmHH35odOvWjZ/v3r1bq+MaHR1t/PPPP8aBAwdczqhVgc7nk+7riu5ryuDBg42TJ0+qNkN4ACTyJ3gEuovagQjb06ewXXdRe+PGjTmydu3aNQoKCqLg4GCXM2pV0KxZM+rZsydXhkZHR5NO6L6u6L6m/PXXX5aIpOBZiPMneAS6i9qBCNvTp7Bdd1F7586dWYPYvHlzi5MFTZguLFiwgD8b0IFh340cOdJpAYgKdF9XdF9TkC5H+jkkJCTVghlBQx4kXCgIac3XX39tNGnSxNiwYQOnPzZv3mwsWrTIqFmzpjFjxgwtDsimTZuMSpUqGRMmTDCCgoKMqVOnGkOHDjXKly9vrF27VrV5vL8aNWrE9iB9NGbMGG32XVxcHO+rwMBAi31IKfXt21d5CnP27Nl8niHN1r59e962cOFCIzg4mF/TBaR7x40bZ9StW5c/IyNHjjT+/PNPQxfi4+ONdevWGUOGDOF9h3MRnxGV6L6u6L6mIC2Nz2y5cuWcPgR9yYR/VDugguAOU6ZMYeFzXFwcf+3j48PVZm+//balua1qtm7dSl999RUdOXKEkpOTqUyZMizI10HYPnbsWK7+RDXjqlWr6Pfff+e7dlTr9e/fX6l9U6dO5aaw77//PhcprFixgqOAqGCtX78+b1cJ9lVoaCi1b9+eJ6Rgf+I87Nq1K+kGzjtUsOLzgjTr0aNHSSeuX79Oy5YtoxkzZnCE9/Dhw0rt0X1d0XVNAajcvldkUNATcf4EjwLVjEi94Z6lVKlSWmmbUMFYtGhR0hEswpj6gP+hX4NzBVt//vlnbnOBFhIqQcoSDt5TTz1lYx9SXkgTIhWsildffZVblSAFpzPQqMEpxePUqVNUs2ZNTgnDYVUNnND169ezbdCJFS5cmDp06MDnI/RrqtF1XdF5TRE8G+nzJ3gEELV37NiRLxYQtesIhO3VqlXjC26rVq0oS5Ys5AnCdvSIU43OwnbdRe2LFy/mSO7evXvZqTI/J4UKFSIdgOO8efNmHkHWsmVLbgni7FxUge7ris5rismWLVu4fQ/6S2Kc4JIlS/izDOde0Bf1MW1BSAeidiDC9vQpbNdd1I6mv4gOIXWJ6BqmUeji+AFUIb/33nu0fft2mjBhgjaOnyesKzqvKQDHFJFxnG+ofEdaOjExkeUaSO0L+iJpX8Gj+OeffzglCH0YFmks2rg4165dm3QhISGBIx1IceGuOE+ePBxdUNnxHqld3JVjUX7jjTd4+gM0deYUCOtpBqo0dYgQYVoF9GpoGms9BUKlvgnnGPR+iFw5Q7WmDilVHSNCnoTu64qOawqANhLR3L59+9rINbDe4DnsFfREnD/BI9Fd1A5E2J4+hO06itrhxGPqCLRp5lg3V3z00UeU1jRp0oT1pCiOQWrVleMMNm7cSLqg+7qi25oCh2/58uWc5rV2/qBVbNu2LR04cECpfYJrRPMneBSuRO264EzYjjFHOlS9YfzXK6+8oq2wHVW9eOiGDsfOngsXLrCjYj7XcZ9lzpzZ8jw1508HdF5XdF5TsmfPzk3Q7fW6WGNy5sypzC7h3kjkT/AIdBe1OxO24+Kho7Bdx+rBcuXKaS1s91RRe3h4OOXLl0+1Gdqi+7qi85oC/ve//7EGEVrOHj160KJFi9gZROU+UuejRo1SbaLgAnH+BI8AKQVz8atRowbpCAaud+nShdOUAQEBpBOff/45X+QwpaJq1aq8H7E/s2bNSjqwe/dujmxA44eiClQ54iJcp04dLUTt6D3Ypk0bLg5AEYrZIgcXPTgMKilfvjzbmDt3bpvtiAi2a9eOp1WoBscWn1tMRJk5cybvR5yHSF2rrKTWfV3ReU0xtYhw8PCZAHBSkVVo2LAh9+7UuUo+oyPOn+ARiKj90SDC9vQhaofzid8Ndu3axXb5+vrafA8iMOhfh6ilSuDsffnll9ziBY4BqmqfeeYZthtpfjiAqpB15dGAm0roIyFFKFu2rPIKfeHeiPMnaIvuonYgwvb0L2zXUdR+8+ZNbvFiFqQgVW5q7EwQ1UVU8sknnySV4DOCCnPYiEgpbkCQbsVsZKQ107qBt+7riqeuKYJnIQUfgrboLmoHImxP/8J2HUXtuXLlsnFMTGdGR7Dv4DSDHTt2cBTVbOCN3nBpje7riu5rCvS57tqkW7W08C8S+RM8HhG13xsRtqdfUTscGaRW8+bNyylqgH6JjRo1Yq2iaqDfxBQZFFFAu4ZWKmY0FXarHi3oCllXnINiJ9P5u3jxIssfcL6Z0oODBw/Sd999x50FcPMmaIohCB5AuXLljIiICIft58+fNypXrmzowooVK4zLly/z8xkzZhht2rQxRo8ebcTGxiq1C/to1KhRxq5duwwd6dWrl7F06VIjOjra0I34+Hhj2LBhRmBgID9wLuL/gQMHKj+u4NNPPzVq1aplrFu3zrJt/vz5vO2LL74wVDN79myjZs2aRr169Yz27dvztoULFxrBwcH8mko8YV3RdU0BPXv2NH766SeH7cuXLzc6d+6sxCbBPSTyJ2iLJ4nagQjb0ze6itobNGhAH374IdWrV89mOz4TiLjpoAvbtGkTayTbt2/PWjak9uPi4qhr165pbosnrSs6rykgODiYj2Xx4sVttp89e5bbIEmTZ30RzZ+gLU2bNqU9e/ZYvkabCHtROy7CqlttmGAuKET4aGGBFGHlypVp3LhxFmF7Wi/U1sJ22JEaImy/N7jA2V/kdCAyMpL1kfaUKFGCU5c6gMIFazCn1r41TVrhSeuKbmuKPfg8oM2L/XhI9MLU5eZIcI44f4K2eJKoHYiwPf0I2z1J1A5bocMaPny4zXZo6nS4AKOoA7rJXr16sT2Y24yCHjinX3/9dZo3HfekdUW3NcUezBbGA7YFBQVxVBx9JfGZgBZQ0Bdx/gSPAGktnUXtZgThzJkznM5CJSiiGwB36XgtrVmwYIHT5/aoig69+uqrludDhgwhnUCUxV1Ru2oGDx5MAwcO5PMMkSEA+/bv38+tclQDRwu2oU8iqrnx/OOPP+ZGz/h/+vTpymzTfV3RbU1xVsyDAqiFCxfSH3/8YWk6DrkBbkoEjXFTGygIStFd1A5E2J4+he2eIGrfu3cvF6W0bdvW6NixozF8+HDj6NGjhg7UqVOH7QNvvvkmF8qA48ePG9WrV1dqm+7ris5rChg3bpxx7tw51WYID4AUfAgegSeI2oEI29OfsN0TRO3Hjh2jEydOWPrXYR9iTB4igOPHj1dqG6KRa9eu5UjV008/TQMGDKA+ffpQaGgo6+owV1cVnrCu6LSm2IN53JAXFClSRLUpwn0iaV/BI/AEUTsQYXv6E7brLmqfN2+eZdqHOVvVfF69enXF1hGVLl2aNm/ezDo1fFbhzIMff/yRX1OJJ6wrOq0pzpxnpHwh4dBVNyk4R5w/wSPQXdQORNiePoXtuovaoT1ENA0XYGjVMO4N49/wWcGoMNVg30HTmZCQwOPw4FhBBwi7VWsSdV9XdFtT7IGDDO3mN998Q3ny5CF/f3+b13WInArOEedP8Ah0F7UDEbanT2G77qL2sLAwTpHjwgt78LlAOxNMHpk4cSIXWqiODiGNeuXKFcv+atOmDT377LPKI3+6rys6rymgVq1a/BA8D3H+BI8AWiFECswLsI+PD1840LBVhwswwAUOFwzYhYgQHJh27dpRYGAga9hUMm3aNB7xZt3vr3Xr1vTFF1/wc9WVjai0HDp0KPn5+fH+QhQQxxsXOESOVALNHDRqn3zyCelIlixZKCkpiZ9j/jCcZzh/OA9RqawD0KrhYa2jNB1Xlc697uuKzmsKQLT50KFDNGfOHNacYv8hQvn8889bjrGgJ+L8CR5DQEAARxGwYANomyC2x8KtWtQOoqOjOU0Jtm/fzqk4gF525sVZFUgFTp482UbYjgUa6SNEsFQ7f5gBWrJkSYuwHeTIkYNGjx6tXNiOfac6epYa0EkiBThmzBiqUKECOy4vvfQSNzLOmjWravP4mEKTCOfA/ByYBSnXr1+nI0eOKLVP53VF5zUFoCALn90yZcqwYwpJBAp4MAMbqWAUhAh6Is6f4BHoLmoHImxPn8J23UXtw4YNo/79+3MEq3v37lw1XbNmTR5PhguzanBzgcpo6DjxOYatSPEjjYnXVKL7uqLzmgI+/fRT6ty5M40dO9ZmO77+7LPPUu0vKijmQfrDCEJa06RJE2Py5Mnc8w19w8LCwoxjx45xL7h58+ZpcUA2b95sBAUF8bB49FkDEyZMMCpWrMivqaRbt268/+yZOnWq0alTJ0M1kZGRxrvvvsvHNDEx0ejbty/vx5YtWxqhoaFKbevVq5cRGBjI9tStW9do3LixzUMHYmJijIiICH4eHh7On4k1a9YYOlC1alXjr7/+4ucdOnQwDhw4wM+nTJliDBo0SKltuq8rOq8pAP0GT5486bAd2ypXrqzEJsE9JPIneAS6i9qBCNvTp7DdE0TtSAOao/IwrUKHz4MJ0rvQIgKk9o8fP856MPT46927t1LbdF9XdF5TAHScN27ccNiOdD70u4K+eKk2QBAeVNQOdBK1m4uhtVAcFznYiIuMSkxhe6FChVjYjnYRENpDH4YLjGpwgYOTZ6a5TGE7evzBVpUg3duwYUM6deoUrVmzhp1TpC2RgrMeUSc4B330oPcznT9zFjL0YXfu3FG62zxhXdF1TQFoLYQiMnw2TLAPoZW0l3EIeiGRP8Ej0F3UDkTYnj6F7SJqfzg6depEI0eOZOceTjQqp3ETguOMqlWV6L6u6L6moEK/X79+3L8xe/bsvO327dvsrOKYC/oizp/gEeguagcibE+fwnYRtT8ccKaQVoXTgqgVJqWgxRCONRoYq0T3dUXnNQXkzJmTHeZt27ZRSEgIH2M49Ogq4OUliUWtcVMbKAjK0VnUDkTYnj6F7SJqT9/ovK7ovKYIno1E/gSPQWdROxBhe/oUtouo/eHBxAy0/UD60tvbmypWrMifX/SHU43O64rOa4rg2UhcVhAeESJsT5/CdhG1PxybNm3ipr8XLlzgQp4aNWqwE4P+cKjqFjxzTRE8G4n8CcIjQoTt6VPYLqL2h9dMQj83fPhwm+043tD8/fDDDw/5G9IvOq8pgmcjzp8gPCJE2J4+he0ian84zp07R126dHHY3q1bN1q0aNFD/vT0jc5riuDZZILwT7URgiD898TGxnJLFYxMu3btGq1atYp7/cHhUg1mgM6cOZObKUPPBIcPFztEjdA3DMPtBc8ETh6OKapprcH5N3/+fK4WFQQhbZHInyA8QkTY/mCIsD390r59e5o8eTKdPn2anXsfHx+epPHNN9/Qc889R8uWLbN8L5xEwXPWFMFzkcifIDxCYTsmPgQFBVGVKlVYu7Zv3z4WtyOVqcOgeF1B9PGtt97iqt9p06bRzZs3ufEuJgd07dqV96PgmVgX8aRGpkyZLAUNQgqypgj/FeL8CcIjAuPIIMp2Jmzfu3evCNtT4auvvqK5c+eysB1VvxC2w5GGsB0NdxcvXiznqZDhkDVF+K+QtK8gPCJE2P7giLBdEGRNEdIOcf4E4RFRvnx5+vPPP6lEiRI22w8dOiT6HDdSftbNdeEM4iEIGRlZU4T/CnH+BOERIcL2h0OE7YIga4qQNojmTxAeESJsf3BE2C4IsqYIaYc4f4IgKEeE7YIgCGmHzPYVBEHrYpljx44psUkQBCG9Is6fIAjaCNvtkWIZQRCER48UfAiCoBwplhEEQUg7RPMnCIJypFhGEAQh7RDnTxAEQRAEIQMhmj9BEARBEIQMhDh/giAIgiAIGQhx/gRBEARBEDIQ4vwJgiAIgiBkIMT5EwRBEARByECI8ycIgiAIgpCBEOdPEARBEAQhAyHOnyAIgiAIAmUc/h8o9PlQTkflPwAAAABJRU5ErkJggg=="
- },
- "metadata": {},
- "output_type": "display_data",
- "jetTransient": {
- "display_id": null
- }
- }
- ],
- "execution_count": 31
- },
- {
- "cell_type": "code",
- "id": "ba233686-2962-483c-866f-6be6a7601c26",
- "metadata": {
- "ExecuteTime": {
- "end_time": "2025-12-15T10:38:25.918938Z",
- "start_time": "2025-12-15T10:38:25.889743Z"
- }
- },
- "source": [
- "summs.describe().T"
- ],
- "outputs": [
- {
- "data": {
- "text/plain": [
- " count mean std min 25% 50% 75% \\\n",
- "active_imp_ent 8,339.000 4.449 3.488 0.000 2.000 4.000 6.000 \n",
- "active_click_ent 8,339.000 3.406 2.943 0.000 1.000 3.000 5.000 \n",
- "active_imp_super 8,339.000 5.389 3.721 0.000 3.000 5.000 7.000 \n",
- "active_click_super 8,339.000 3.906 2.733 0.000 2.000 3.000 5.000 \n",
- "active_imp_transport 8,339.000 8.140 5.368 0.000 4.000 8.000 11.000 \n",
- "active_click_transport 8,339.000 6.278 4.312 0.000 3.000 6.000 9.000 \n",
- "active_imp_shopping 8,339.000 3.608 3.075 0.000 1.000 3.000 5.000 \n",
- "active_click_shopping 8,339.000 2.816 2.624 0.000 1.000 2.000 4.000 \n",
- "active_imp_hotel 8,339.000 2.001 2.007 0.000 0.000 2.000 3.000 \n",
- "active_click_hotel 8,339.000 0.500 0.722 0.000 0.000 0.000 1.000 \n",
- "active_imp_avia 8,339.000 2.734 2.143 0.000 1.000 2.000 4.000 \n",
- "active_click_avia 8,339.000 0.764 0.955 0.000 0.000 0.000 1.000 \n",
- "passive_imp_ent 8,339.000 7.827 8.861 0.000 2.000 5.000 10.000 \n",
- "passive_click_ent 8,339.000 0.386 1.227 0.000 0.000 0.000 0.000 \n",
- "passive_imp_super 8,339.000 3.962 5.069 0.000 1.000 2.000 5.000 \n",
- "passive_click_super 8,339.000 0.126 0.503 0.000 0.000 0.000 0.000 \n",
- "passive_imp_transport 8,339.000 11.248 9.650 0.000 5.000 9.000 15.000 \n",
- "passive_click_transport 8,339.000 0.289 0.708 0.000 0.000 0.000 0.000 \n",
- "passive_imp_shopping 8,339.000 9.761 12.923 0.000 3.000 6.000 12.000 \n",
- "passive_click_shopping 8,339.000 0.154 0.587 0.000 0.000 0.000 0.000 \n",
- "passive_imp_hotel 8,339.000 13.984 11.452 0.000 6.000 11.000 18.000 \n",
- "passive_click_hotel 8,339.000 0.815 1.322 0.000 0.000 0.000 1.000 \n",
- "passive_imp_avia 8,339.000 9.956 9.092 0.000 4.000 7.000 13.000 \n",
- "passive_click_avia 8,339.000 0.400 0.794 0.000 0.000 0.000 1.000 \n",
- "orders_amt_ent 8,339.000 0.127 0.492 0.000 0.000 0.000 0.000 \n",
- "orders_amt_super 8,339.000 0.290 0.938 0.000 0.000 0.000 0.000 \n",
- "orders_amt_transport 8,339.000 0.704 1.249 0.000 0.000 0.000 1.000 \n",
- "orders_amt_shopping 8,339.000 0.088 0.411 0.000 0.000 0.000 0.000 \n",
- "orders_amt_hotel 8,339.000 0.052 0.262 0.000 0.000 0.000 0.000 \n",
- "orders_amt_avia 8,339.000 0.106 0.407 0.000 0.000 0.000 0.000 \n",
- "\n",
- " max \n",
- "active_imp_ent 50.000 \n",
- "active_click_ent 26.000 \n",
- "active_imp_super 69.000 \n",
- "active_click_super 38.000 \n",
- "active_imp_transport 141.000 \n",
- "active_click_transport 64.000 \n",
- "active_imp_shopping 28.000 \n",
- "active_click_shopping 32.000 \n",
- "active_imp_hotel 18.000 \n",
- "active_click_hotel 5.000 \n",
- "active_imp_avia 20.000 \n",
- "active_click_avia 7.000 \n",
- "passive_imp_ent 125.000 \n",
- "passive_click_ent 25.000 \n",
- "passive_imp_super 98.000 \n",
- "passive_click_super 7.000 \n",
- "passive_imp_transport 94.000 \n",
- "passive_click_transport 9.000 \n",
- "passive_imp_shopping 268.000 \n",
- "passive_click_shopping 17.000 \n",
- "passive_imp_hotel 147.000 \n",
- "passive_click_hotel 20.000 \n",
- "passive_imp_avia 100.000 \n",
- "passive_click_avia 12.000 \n",
- "orders_amt_ent 9.000 \n",
- "orders_amt_super 21.000 \n",
- "orders_amt_transport 16.000 \n",
- "orders_amt_shopping 7.000 \n",
- "orders_amt_hotel 5.000 \n",
- "orders_amt_avia 7.000 "
- ],
- "text/html": [
- "\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " count | \n",
- " mean | \n",
- " std | \n",
- " min | \n",
- " 25% | \n",
- " 50% | \n",
- " 75% | \n",
- " max | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " | active_imp_ent | \n",
- " 8,339.000 | \n",
- " 4.449 | \n",
- " 3.488 | \n",
- " 0.000 | \n",
- " 2.000 | \n",
- " 4.000 | \n",
- " 6.000 | \n",
- " 50.000 | \n",
- "
\n",
- " \n",
- " | active_click_ent | \n",
- " 8,339.000 | \n",
- " 3.406 | \n",
- " 2.943 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 3.000 | \n",
- " 5.000 | \n",
- " 26.000 | \n",
- "
\n",
- " \n",
- " | active_imp_super | \n",
- " 8,339.000 | \n",
- " 5.389 | \n",
- " 3.721 | \n",
- " 0.000 | \n",
- " 3.000 | \n",
- " 5.000 | \n",
- " 7.000 | \n",
- " 69.000 | \n",
- "
\n",
- " \n",
- " | active_click_super | \n",
- " 8,339.000 | \n",
- " 3.906 | \n",
- " 2.733 | \n",
- " 0.000 | \n",
- " 2.000 | \n",
- " 3.000 | \n",
- " 5.000 | \n",
- " 38.000 | \n",
- "
\n",
- " \n",
- " | active_imp_transport | \n",
- " 8,339.000 | \n",
- " 8.140 | \n",
- " 5.368 | \n",
- " 0.000 | \n",
- " 4.000 | \n",
- " 8.000 | \n",
- " 11.000 | \n",
- " 141.000 | \n",
- "
\n",
- " \n",
- " | active_click_transport | \n",
- " 8,339.000 | \n",
- " 6.278 | \n",
- " 4.312 | \n",
- " 0.000 | \n",
- " 3.000 | \n",
- " 6.000 | \n",
- " 9.000 | \n",
- " 64.000 | \n",
- "
\n",
- " \n",
- " | active_imp_shopping | \n",
- " 8,339.000 | \n",
- " 3.608 | \n",
- " 3.075 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 3.000 | \n",
- " 5.000 | \n",
- " 28.000 | \n",
- "
\n",
- " \n",
- " | active_click_shopping | \n",
- " 8,339.000 | \n",
- " 2.816 | \n",
- " 2.624 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 2.000 | \n",
- " 4.000 | \n",
- " 32.000 | \n",
- "
\n",
- " \n",
- " | active_imp_hotel | \n",
- " 8,339.000 | \n",
- " 2.001 | \n",
- " 2.007 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 2.000 | \n",
- " 3.000 | \n",
- " 18.000 | \n",
- "
\n",
- " \n",
- " | active_click_hotel | \n",
- " 8,339.000 | \n",
- " 0.500 | \n",
- " 0.722 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 5.000 | \n",
- "
\n",
- " \n",
- " | active_imp_avia | \n",
- " 8,339.000 | \n",
- " 2.734 | \n",
- " 2.143 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 2.000 | \n",
- " 4.000 | \n",
- " 20.000 | \n",
- "
\n",
- " \n",
- " | active_click_avia | \n",
- " 8,339.000 | \n",
- " 0.764 | \n",
- " 0.955 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 7.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_ent | \n",
- " 8,339.000 | \n",
- " 7.827 | \n",
- " 8.861 | \n",
- " 0.000 | \n",
- " 2.000 | \n",
- " 5.000 | \n",
- " 10.000 | \n",
- " 125.000 | \n",
- "
\n",
- " \n",
- " | passive_click_ent | \n",
- " 8,339.000 | \n",
- " 0.386 | \n",
- " 1.227 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 25.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_super | \n",
- " 8,339.000 | \n",
- " 3.962 | \n",
- " 5.069 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 2.000 | \n",
- " 5.000 | \n",
- " 98.000 | \n",
- "
\n",
- " \n",
- " | passive_click_super | \n",
- " 8,339.000 | \n",
- " 0.126 | \n",
- " 0.503 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 7.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_transport | \n",
- " 8,339.000 | \n",
- " 11.248 | \n",
- " 9.650 | \n",
- " 0.000 | \n",
- " 5.000 | \n",
- " 9.000 | \n",
- " 15.000 | \n",
- " 94.000 | \n",
- "
\n",
- " \n",
- " | passive_click_transport | \n",
- " 8,339.000 | \n",
- " 0.289 | \n",
- " 0.708 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 9.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_shopping | \n",
- " 8,339.000 | \n",
- " 9.761 | \n",
- " 12.923 | \n",
- " 0.000 | \n",
- " 3.000 | \n",
- " 6.000 | \n",
- " 12.000 | \n",
- " 268.000 | \n",
- "
\n",
- " \n",
- " | passive_click_shopping | \n",
- " 8,339.000 | \n",
- " 0.154 | \n",
- " 0.587 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 17.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_hotel | \n",
- " 8,339.000 | \n",
- " 13.984 | \n",
- " 11.452 | \n",
- " 0.000 | \n",
- " 6.000 | \n",
- " 11.000 | \n",
- " 18.000 | \n",
- " 147.000 | \n",
- "
\n",
- " \n",
- " | passive_click_hotel | \n",
- " 8,339.000 | \n",
- " 0.815 | \n",
- " 1.322 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 20.000 | \n",
- "
\n",
- " \n",
- " | passive_imp_avia | \n",
- " 8,339.000 | \n",
- " 9.956 | \n",
- " 9.092 | \n",
- " 0.000 | \n",
- " 4.000 | \n",
- " 7.000 | \n",
- " 13.000 | \n",
- " 100.000 | \n",
- "
\n",
- " \n",
- " | passive_click_avia | \n",
- " 8,339.000 | \n",
- " 0.400 | \n",
- " 0.794 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 12.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_ent | \n",
- " 8,339.000 | \n",
- " 0.127 | \n",
- " 0.492 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 9.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_super | \n",
- " 8,339.000 | \n",
- " 0.290 | \n",
- " 0.938 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 21.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_transport | \n",
- " 8,339.000 | \n",
- " 0.704 | \n",
- " 1.249 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 1.000 | \n",
- " 16.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_shopping | \n",
- " 8,339.000 | \n",
- " 0.088 | \n",
- " 0.411 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 7.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_hotel | \n",
- " 8,339.000 | \n",
- " 0.052 | \n",
- " 0.262 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 5.000 | \n",
- "
\n",
- " \n",
- " | orders_amt_avia | \n",
- " 8,339.000 | \n",
- " 0.106 | \n",
- " 0.407 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 0.000 | \n",
- " 7.000 | \n",
- "
\n",
- " \n",
- "
\n",
- "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " id | \n",
+ " business_dt | \n",
+ " active_imp_ent | \n",
+ " active_click_ent | \n",
+ " active_imp_super | \n",
+ " active_click_super | \n",
+ " active_imp_transport | \n",
+ " active_click_transport | \n",
+ " active_imp_shopping | \n",
+ " active_click_shopping | \n",
+ " active_imp_hotel | \n",
+ " active_click_hotel | \n",
+ " active_imp_avia | \n",
+ " active_click_avia | \n",
+ " passive_imp_ent | \n",
+ " passive_click_ent | \n",
+ " passive_imp_super | \n",
+ " passive_click_super | \n",
+ " passive_imp_transport | \n",
+ " passive_click_transport | \n",
+ " passive_imp_shopping | \n",
+ " passive_click_shopping | \n",
+ " passive_imp_hotel | \n",
+ " passive_click_hotel | \n",
+ " passive_imp_avia | \n",
+ " passive_click_avia | \n",
+ " orders_amt_ent | \n",
+ " orders_amt_super | \n",
+ " orders_amt_transport | \n",
+ " orders_amt_shopping | \n",
+ " orders_amt_hotel | \n",
+ " orders_amt_avia | \n",
+ " gender_cd | \n",
+ " age | \n",
+ " device_platform_cd | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 7119 | \n",
+ " 2025-04-02 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 3.000 | \n",
+ " 1.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 2 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " F | \n",
+ " 40 | \n",
+ " iOS | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 1797 | \n",
+ " 2025-08-27 | \n",
+ " 1.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 3 | \n",
+ " 0 | \n",
+ " 2.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 5 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " M | \n",
+ " 38 | \n",
+ " IOS | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 8010 | \n",
+ " 2025-07-10 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " M | \n",
+ " 51 | \n",
+ " Android | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 2360 | \n",
+ " 2025-08-10 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " M | \n",
+ " 37 | \n",
+ " IOS | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 3457 | \n",
+ " 2025-05-23 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 3.000 | \n",
+ " 1.000 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 2 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " F | \n",
+ " 27 | \n",
+ " iOS | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " rows_per_key | \n",
+ " n_pairs | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1 | \n",
+ " 118189 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " missing | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | id | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | business_dt | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_ent | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_click_ent | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_super | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_click_super | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_transport | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_click_transport | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_shopping | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_click_shopping | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_hotel | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_click_hotel | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_avia | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | active_click_avia | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_ent | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_ent | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_super | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_super | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_transport | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_transport | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_shopping | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_shopping | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_hotel | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_hotel | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_avia | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_avia | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_ent | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_super | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_transport | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_shopping | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_hotel | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_avia | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | gender_cd | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | age | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | device_platform_cd | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " count | \n",
+ " mean | \n",
+ " std | \n",
+ " min | \n",
+ " 25% | \n",
+ " 50% | \n",
+ " 75% | \n",
+ " max | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | id | \n",
+ " 118,189.000 | \n",
+ " 4,131.899 | \n",
+ " 2,408.258 | \n",
+ " 1.000 | \n",
+ " 2,038.000 | \n",
+ " 4,121.000 | \n",
+ " 6,219.000 | \n",
+ " 8,339.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_ent | \n",
+ " 118,189.000 | \n",
+ " 0.314 | \n",
+ " 0.614 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 9.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_ent | \n",
+ " 118,189.000 | \n",
+ " 0.240 | \n",
+ " 0.483 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 6.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_super | \n",
+ " 118,189.000 | \n",
+ " 0.380 | \n",
+ " 0.809 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 11.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_super | \n",
+ " 118,189.000 | \n",
+ " 0.276 | \n",
+ " 0.542 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 9.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_transport | \n",
+ " 118,189.000 | \n",
+ " 0.574 | \n",
+ " 0.944 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 24.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_transport | \n",
+ " 118,189.000 | \n",
+ " 0.443 | \n",
+ " 0.645 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 11.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_shopping | \n",
+ " 118,189.000 | \n",
+ " 0.255 | \n",
+ " 0.565 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 6.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_shopping | \n",
+ " 118,189.000 | \n",
+ " 0.199 | \n",
+ " 0.450 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 5.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_hotel | \n",
+ " 118,189.000 | \n",
+ " 0.141 | \n",
+ " 0.483 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 7.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_hotel | \n",
+ " 118,189.000 | \n",
+ " 0.035 | \n",
+ " 0.185 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_avia | \n",
+ " 118,189.000 | \n",
+ " 0.193 | \n",
+ " 0.523 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 6.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_avia | \n",
+ " 118,189.000 | \n",
+ " 0.054 | \n",
+ " 0.227 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_ent | \n",
+ " 118,189.000 | \n",
+ " 0.552 | \n",
+ " 1.256 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 42.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_ent | \n",
+ " 118,189.000 | \n",
+ " 0.027 | \n",
+ " 0.190 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 11.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_super | \n",
+ " 118,189.000 | \n",
+ " 0.280 | \n",
+ " 0.859 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 26.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_super | \n",
+ " 118,189.000 | \n",
+ " 0.009 | \n",
+ " 0.118 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 5.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_transport | \n",
+ " 118,189.000 | \n",
+ " 0.794 | \n",
+ " 1.472 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 43.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_transport | \n",
+ " 118,189.000 | \n",
+ " 0.020 | \n",
+ " 0.155 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 7.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_shopping | \n",
+ " 118,189.000 | \n",
+ " 0.689 | \n",
+ " 1.768 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 83.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_shopping | \n",
+ " 118,189.000 | \n",
+ " 0.011 | \n",
+ " 0.128 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 7.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_hotel | \n",
+ " 118,189.000 | \n",
+ " 0.987 | \n",
+ " 1.811 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 44.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_hotel | \n",
+ " 118,189.000 | \n",
+ " 0.058 | \n",
+ " 0.242 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 8.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_avia | \n",
+ " 118,189.000 | \n",
+ " 0.702 | \n",
+ " 1.400 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 52.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_avia | \n",
+ " 118,189.000 | \n",
+ " 0.028 | \n",
+ " 0.182 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 8.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_ent | \n",
+ " 118,189.000 | \n",
+ " 0.010 | \n",
+ " 0.115 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 11.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_super | \n",
+ " 118,189.000 | \n",
+ " 0.022 | \n",
+ " 0.155 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_transport | \n",
+ " 118,189.000 | \n",
+ " 0.053 | \n",
+ " 0.242 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 5.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_shopping | \n",
+ " 118,189.000 | \n",
+ " 0.008 | \n",
+ " 0.114 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 11.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_hotel | \n",
+ " 118,189.000 | \n",
+ " 0.004 | \n",
+ " 0.067 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 3.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_avia | \n",
+ " 118,189.000 | \n",
+ " 0.009 | \n",
+ " 0.109 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 6.000 | \n",
+ "
\n",
+ " \n",
+ " | age | \n",
+ " 118,189.000 | \n",
+ " 42.360 | \n",
+ " 9.930 | \n",
+ " 15.000 | \n",
+ " 36.000 | \n",
+ " 41.000 | \n",
+ " 48.000 | \n",
+ " 80.000 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "numeric_cols = df.select_dtypes(include=['number']).columns\n",
+ "n_cols = len(numeric_cols)\n",
+ "\n",
+ "cols_per_row = 4 \n",
+ "n_rows = math.ceil(n_cols / cols_per_row)\n",
+ "\n",
+ "fig, axes = plt.subplots(nrows=n_rows, ncols=cols_per_row, figsize=(20, 5*n_rows))\n",
+ "fig.suptitle('Boxplot всех числовых полей', fontsize=16)\n",
+ "\n",
+ "\n",
+ "axes_flat = axes.flatten()\n",
+ "\n",
+ "for i, col in enumerate(numeric_cols):\n",
+ " if i < len(axes_flat):\n",
+ " df.boxplot(column=col, ax=axes_flat[i])\n",
+ " axes_flat[i].set_title(col, fontsize=12)\n",
+ " axes_flat[i].tick_params(axis='x', rotation=45)\n",
+ "\n",
+ "for i in range(len(numeric_cols), len(axes_flat)):\n",
+ " axes_flat[i].set_visible(False)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.subplots_adjust(top=0.95) # Добавляем место для заголовка\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f8a737fa",
+ "metadata": {},
+ "source": [
+ "### 01.11. Распределение заказов по категориям\n",
+ "\n",
+ "Считаем, сколько заказов встречается в день в каждой категории. \n",
+ "Цель — понять, что именно мы моделируем: количество заказов или факт заказа.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "43834078-3bb1-48a6-8fc8-8a0a01b41f75",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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4fYjRlziJ0R2+xFkf6igAhWLcdBP96ib6tTioo4BoMGbZI2f2yFk45M1e2vOcWS/R+eijj5qv2owYMaKh2wQAAOAk6igAAIBwqKMAAAAaeAZftieeeEKWLFnSkCYAAAC8RB0FAAAQDnUUAABAiDP4so+IeuaZZ+Tss8+WX/3qV1FvFwAAgHOoowAAAMKhjgIAAIjwDD7ANalUSnzgQ5w+xOhLnMToDl/iBICoMG66iX51E/0KIEkYs+yRM3vkLBzyZi/lcc6sz+DL5nPi4J7y8nIvLtjtQ5w+xOhLnMToDl/itEEdBaAujJtuol/dRL8WH3UUEB5jlj1yZo+chUPe7JV7njPrCb4ePXpUFVKZTEb69etX7fGPPvoouq0DAABwCHUUAABAONRRAAAADZzgu++++2xfAiRCZWWlLF26VFq2bGlm/l3lQ5w+xOhLnMToDl/irA91FIBCMW66iX51E/1aHNRRQDQYs+yRM3vkLBzyZq/S85xZT/D16dPH3C5evFi+/vpr2WijjWTFihXSunXrxtg+oOgDgg98iNOHGH2Jkxjd4UucdaGOAmCDcdNN9Kub6NfGRx0FRIcxyx45s0fOwiFv9io9zlmZ7Qu0eBo6dKgprA466CD54Ycf5LzzzpNjjz1WFixY0DhbCQAA4ADqKAAAgHCoowAAABo4wXf11VfLp59+Ko8++qg0a9bM3HfqqafKvHnz5IorrrBtDgAAwBvUUQAAAOFQRwEAADRwgu/ZZ5+VCy+8ULp37151n34/bNgweemll2ybAwAA8AZ1FAAAQDjUUQAAAA2c4FuyZIm0aNGixv3pdNrrtU6RfGVlZdKqVStz6zIf4vQhRl/iJEZ3+BJnfaijABSKcdNN9Kub6NfioI4CosGYZY+c2SNn4ZA3e2We58w66l122UXGjBljLmoc+Oabb8xyCDvttFPU2wcUTSqVkiZNmphbl/kQpw8x+hInMbrDlzjrQx0FoFCMm26iX91EvxYHdRQQDcYse+TMHjkLh7zZS3meM+sJvosvvtjMhupFjZctWyYDBgyQfv36Sdu2beWiiy5qnK0EikCP+lu+fLm5dZkPcfoQoy9xEqM7fImzPtRRAArFuOkm+tVN9GtxUEcB0WDMskfO7JGzcMibvbTnOauwfUGbNm1k7Nix5iipzz77TFatWiVdunSRrl27Ns4WAkWSyWTMYKAz/i7zIU4fYvQlTmJ0hy9x1oc6CkChGDfdRL+6iX4tDuooIBqMWfbImT1yFg55s5fxPGfWE3xvvvlm1fe6tqn66aefzJfq3bt3lNsHAADgDOooAACAcKijAAAAGjjBN3DgwKr1THV2NJve/9FHH9k2CQAA4AXqKAAAgHCoowAAABo4wTdy5EizJEKPHj3kzDPPZCkEAACAAlFHAQAAhEMdBQAAUF2ZWDrggAPkmWeeMUsfHHnkkeYix3PmzLFtBogdPeJP1+oNjgh0lQ9x+hCjL3ESozt8ibM+1FEACsW46Sb61U30a3FQRwHRYMyyR87skbNwyJu9lOc5s57gU5qwo446SiZPniwdOnSQ/fffX8aMGSOLFy+OfguBIikrKzPr+Outy3yI04cYfYmTGN3hS5yFoI4CUAjGTTfRr26iX4uHOgpoOMYse+TMHjkLh7zZK/M8Z9ZLdJ5//vk17tt0003l1ltvlQkTJshrr70W1bYBRaVr+OuXzva7POPvQ5w+xOhLnMToDl/irA91FIBCMW66iX51E/1aHNRRQDQYs+yRM3vkLBzyZi/jec4imdZca621pH///rLzzjtH0RxQEul0WhYuXGhuXeZDnD7E6EucxOgOX+IMgzoKQD6Mm26iX91Ev5YOdRRgjzHLHjmzR87CIW/20p7nzPoMvhEjRjTOlgAAADiOOgoAACAc6igAAIBGWKIzGwUXAABAftRRAAAA4VBHAQAANHCJzkcffVSWL19u+zIAAADvUUcBAACEQx0FAADQwDP41NChQ6VDhw5hXgoAAOA16igAAIBwqKMAAAAaOMEHuKisrEzatWsnrvMhTh9i9CVOYnSHL3ECQFQYN91Ev7qJfgWQJIxZ9siZPXIWDnmzV+Z5zkJN8L3zzjvVkqZJbN68uXTv3l0qKpgzRDKlUinxgQ9x+hCjL3ESozt8ibMQ1FEACsG46Sb61U30a/FQRwENx5hlj5zZI2fhkDd7Kc9zFqr6OeWUU/Imsk+fPnLvvfdGsV1A0VVWVsqyZcukRYsWUl5eLq7yIU4fYvQlTmJ0hy9xFoI6CkAhGDfdRL+6iX4tHuoooOEYs+yRM3vkLBzyZq/S85xZT/DNmDEj7/3/+c9/5JBDDolim4CSWbVqlfjAhzh9iNGXOInRHb7EWRfqKAA2GDfdRL+6iX5tfNRRQHQYs+yRM3vkLBzyZm+Vxzkrs33BF198IZlMpsb93bp1k8GDB0e1XQAAAM6hjgIAAAiHOgoAAKCBE3z777+//Pe//61232effSZnnXWW3HzzzbbNAQAAeIM6CgAAIBzqKAAAgAZO8J100kly+OGHyyWXXCILFy6UESNGmCJL1zf9xz/+YdscAACAN6ijAAAAwqGOAgAAaOA1+LSgOvDAA+WGG24whdTaa68tEydOlO7du9s2BcSKXpi7ZcuW5tZlPsTpQ4y+xEmM7vAlzvpQRwEoFOOmm+hXN9GvxUEdBUSDMcseObNHzsIhb/ZSnufMeoLvscceM7c9e/Y0hdSAAQPko48+Ml/qgAMOiH4rgSIoKyuTpk2biut8iNOHGH2Jkxjd4Uuc9aGOAlAoxk030a9uol+LgzoKiAZjlj1yZo+chUPe7JV5njPrCb7rr7++6vvOnTvLpEmTqn7WWVIKKiRVOp2WVatWSUVFhRkYXOVDnD7E6EucxOgOX+KsD3UUgEIxbrqJfnUT/Voc1FFANBiz7JEze+QsHPJmL+15zqwn+J5//vnG2RKgxDKZjCxdulTatGlT6k1pVD7E6UOMvsRJjO7wJc76UEcBKBTjppvoVzfRr8VBHQVEgzHLHjmzR87CIW/2Mp7nzL8pTQAAAAAAAAAAACDBmOADAAAAAAAAAAAAEoQJPgAAAAAAAAAAACBBmOADsujFOH3gQ5w+xOhLnMToDl/iBICoMG66iX51E/0KIEkYs+yRM3vkLBzyZq/C45yFivzDDz+UO++8Uz7//HOprKyULl26yOGHHy59+vSJfguBIikvL5fWrVuL63yI04cYfYmTGN3hS5yFoI4CUAjGTTfRr26iX4uHOgpoOMYse+TMHjkLh7zZK/c8Z9Zn8D333HNyyCGHSCaTkQMPPNB8pVIpOeaYY2TKlCmNs5VAEeh7OvhymQ9x+hCjL3ESozt8ibM+1FEACsW46Sb61U30a3FQRwHRYMyyR87skbNwyJu9jOc5sz6D729/+5ucddZZctRRR1W7/5577pGxY8fKbrvtFuX2AUWTTqdl0aJF0qZNGzPz7yof4vQhRl/iJEZ3+BJnfaijABSKcdNN9Kub6NfioI4CosGYZY+c2SNn4ZA3e2nPc2Z9Bt8333wjf/jDH2rcr/d98cUXUW0XAACAc6ijAAAAwqGOAgAAaOAEX9euXeWll16qcf+//vUvWW+99WybAwAA8AZ1FAAAQHLqqMcee0z22msv2XzzzWXvvfeWf/7zn1WPffvtt3LCCSfI1ltvLdtvv71cd9115rqA2R588EHZddddZYsttpA///nP5hqC2aJoAwAA+Mt6ic5TTz3VfL333nuy5ZZbmvveffddmTx5slx99dWNVlDddttt5mitDTbYQE455RT54x//WFUMDRs2TN58801p2bKlHHTQQWb7sk/H1GLorrvukjlz5shmm20mQ4cOlU022aTq8SjaAAAAqA91FHUUAABIRh31j3/8Qy688EK54IILZIcddpCnnnpKzjzzTOncubOpZ4499ljZcMMNZfz48fL111+b55aVlcmQIUPM6x999FGzXVonad2j9djRRx9tJgnbt28vK1eubHAbAADAb9Zn8OnSB7fffrv8/PPP8tBDD8mkSZPMBQzHjRtnjmpqrILq8MMPN8XUPvvsYwqqd955p6oYUloMXXrppWabbrzxxqrXB8XQaaedZrZ1/fXXN8XQTz/9ZB6Pog0AAIBCUEdRRwEAgPjXUdquXvPvL3/5i6mj9CCpk046SX7/+9/LG2+8YSYVv//+e1PjdOvWzVz/T2use++9V1asWGHauOWWW+SII46Q/fbbTzbaaCO58sorpUWLFvLII4+Yx6NoAwAA+M36DD617bbbmq+g6Jk3b16jHDmUW1ApLaimT59uCqrvvvvOFEMTJkyQdu3amYJo7ty5pjg68cQTpWnTptWKIaXFkBZNWgzpMghBQdWQNuAGPUqubdu2kkqlxGU+xOlDjL7ESYzu8CXOQlBHUUcBhWDcdBP96ib61b06Sq/pp7XSvvvuW+3+O++809zqQU2bbrqpqX8Cffv2lcWLF8tHH31kDmj68ssvq7ZVVVRUSK9evcyqB1oDaU3W0DaAMBiz7JEze+QsHPJmr8zznFmfwafLH/zpT3+S448/Xl599VXZY489ZLvttpM+ffrkXQu9sQqqQooh3cFUVzGkomgDbtBBQAcE1wcDH+L0IUZf4iRGd/gSZ32oo6ijgEIxbrqJfnUT/epmHaWWLl1qVivQWubggw+W559/3tw/a9Yss1Rnto4dO5rbmTNnmsfVOuusU+M5wWNRtAGEwZhlj5zZI2fhkDd7Kc9zZn0G30UXXWSWBdBrrAwaNMgUOGPHjpXHH39cRo4cKTvuuGOjFVR6IWE9gkmPPt9ll13qLYZ0B1JtxdCMGTPM91G0kY9eALk22q62l3vh5ODNqEehpdPpGq8LrmWT+zr1vzdxRpIpUy2uQmLVHGmuosqhWr58uTRr1izvgKCvra3dYJvytRtFv0YZqz5XlzTRv2EVZQ4bsr2F5DBfu8E2Zbert8uWLTNLl+jfcGO8XxrrfWjTbnacen/YdvPlMC7vb33dkiVLqmKMqt2ot7chOdTX6N9k8+bNazwWx1hLNfZEOUYUGmtjoI6q2Uac6qhivAdQU5D2JNRRxWw3+3NeXxe3MTIJOSxGu8FrC+0bm36NW6xxyWEcY437/x/UUfb0YCV17rnnmusXn3XWWWblgpNPPlnuvvtus+9AzxbIpvsSlNa8+n5QuppB7nP0cRVFG/mwP6q4Mqv3ZyVpjNTv9f3XqlWrqv+7bbYpLmNvVO0WksNVq1aZ/6vy7ZugjsrfbvDZqO8zfdzVGiDqdvUyGNn7+uprN3itzzlMr36vtW7dulHGtLjXURVhdhbdcMMNZgeRXtdFl33SAuvQQw8164RHKckFVX200xYtWlTtPv0dWqhqp+Y+ptZYYw1zq9ukHyzZ9HX6+qTul8qOWd/cQZ/ojv3cPwD9Y9V/mjT/uX1QVw71DyY4w0A/lHP/KHXnug6i+rxgvftAkyZNzAdSvn5TQbv5+kYHZH2/aNv6e7NpHBqPytdumzZtzECg79PcbdLt1S/9fZqnbNk51L+j7EEiGDR0u7TN3BzqtupjYXKoOdJcabu6zVHlMHh/BwVVfTkMBnZ9vv7d6Hbrz9oHheZQ8675z5fD7L7J9z4Mcqj5CcaxfDnM9/6uK4e57+/sOLXPCxkjgkKhvhxmC05z1+3JzWFd7+9Cc5jv/R3kUOPQbQpiLOUYUVcOG/L+DtrUuHK3txRjRH05DDtGBJPS+lqNt5RjRL73d74xQrcl6iPAqKNqthEGdZSbklBHNdYYma8GyP6c13bjNkYmvY7KVaw6KrtfdXsbs47Kl0PX6qi4jBHZ/aqPFWOMiCqH1FH5aU6VHiTVv39/8/1vf/tbc8CU1lH6/sh93wT9rTkNDt7L9xx9D6go2giDOipamdU5S9IYmXvwpYt1VFQ5zO6b3H0T1FF1jxHBZ6O2GewHSNL+qFLWUfp7s99rrtdRDR0j0lmTyT7WUdYTfLqxQQdq8MFOnOCNH6UkF1RTp06t92iqYKAJBJ2mb/Tcx7Ll+73BH3xSz0StLebgDzP3uUrfe7k7DAvNYVDEZAsGlOz3dS5t37Zvgm3Sdut6bb7Hglj1fZi7TUG7OljU1W4wkASCM6IaI4fB9mqbwd9vbrsNyWF9sQaPaYzanxp78FptN/cMqbA5zI61rhxmFxT51PX+riuHQd9kxxkc/RLEWlu72mZwRk0++bY3+L3BB3SY93ddOazr/a1x6eO5MZZijCgkh2He31qI6GeMtpu7vaUYIxorh9ljT6nHiHyvrWuMiBJ1VM028qGO8lMS6qjsdhu7jsr+nA8+d+I4Ria1jqpNY9dR+fq1MeuosDlMSh0VlzEiX13u6v9avtRRnTp1Mrd6feFsOqH44osvmmVBP/nkk2qPzZ49u+q1weoFel/Xrl2rPSdoW1dBaGgb+VBHFVdqdc6SNEbm/r24WEc1xhhZ174J6qiaOQw+G4O2krg/qhR1VHCwe/Z7zfU6qqE5rMxz0IRPdZT1BF9w7ZZg5v2+++4zs5i5M5S+F1SFyPeBEHRgbY/V9brVr5Zkyh9zXbFmnxIfRQ6DwUDbbYy+achro441e0BMwvaGaVe/1y/XYw3izI292Nvb2LHmxhhVu421vWHajeM2+TT21PXaqFFHxbeOaoydkahfkHbfx8h87Qaff//beRq/MTLuOYxju3HpV5fajcM2+fL/h+1rk1pH6TWGdefte++9Z64dHNC6Z4MNNpDevXvLY489Zs4+CHZQvv766+Y1PXr0MDsQu3TpItOmTau6FrHusNXrF//5z382P0fRRljsj4pOKmd/Vhz/vvO9NrfeKPY2JbHd2vZNUEfV3m4xPhfjEmuU7db2XiOHbo5pZQ2so6xfrQXI+++/bwqMnj17muun6Pf/93//V63oibqgypZdUOlR6Nmny2YXQx06dKgqhgJBMaSvDeJpaBsAAACFoI6ijgIAAPGvo/RIer3O34033ihPPvmkfP3113LzzTfLq6++KkcffbTstttusvbaa8vpp59utmPKlCkyevRoOeaYY6rOONDvddWERx99VD799FO54IILzLJgBx10kHk8ijYAAIDfrM/gu+qqq8zR2sU4Qiu7oNKjvLfYYgt56qmnTEF1zz33yFZbbSXXXXedKYb0ujLffvtt3mJo+PDh8utf/1o233xzue2222oUVA1tA27Q2XR9z7l+9L4PcfoQoy9xEqM7fImzPtRR1FFAoRg33US/uol+da+OUnrdYj1bcMyYMfLDDz+Y1QjGjh0rv/vd78zjd9xxh1x22WVyyCGHmDMJ9aw6fU1A79dr7mitNH/+fNlss83MZF379u2rlh9raBtAGIxZ9siZPXIWDnmzl/I8Z9YTfLpe9yuvvGKOyC4GCioUi/6TkLverYt8iNOHGH2Jkxjd4Uuc9aGOoo4CCsW46Sb61U30q5t1lNKz9fQrHz146a677qrz9XotZP2qTRRtALYYs+yRM3vkLBzyZq/M85xZT/DpxTGLPRtKQYVi0Pe2LhumF8V0ecbfhzh9iNGXOInRHb7EWR/qKACFYtx0E/3qJvrV3ToKcBFjlj1yZo+chUPe7GU8z5n1BJ8aPHiwNGnSJO9jepFjIInS6bQsWbJE2rRpU8+Fo5PNhzh9iNGXOInRHb7EWQjqKACFYNx0E/3qJvq1eKijgIZjzLJHzuyRs3DIm7205zkLNcGn12xp1apV9FsDAADgOOooAACAcKijAAAAGjjBN2jQoKKueQ4AAOAK6igAAIBwqKMAAAD+p0ws9e7du9blEAAAAFA76igAAIBwqKMAAAAaOMF3//33yxNPPCFPPvlk1X2nnHKKPPTQQ7ZNAbHjyzq9PsTpQ4y+xEmM7vAlzrpQRwGwwbjpJvrVTfRr46OOAqLDmGWPnNkjZ+GQN3vlHufMeoJvzJgxcsstt0jLli2r7uvTp4/cdNNNcuONN0a9fUBRBwIfLsbpQ5w+xOhLnMToDl/irA91FIBCMW66iX51E/1aHNRRQDQYs+yRM3vkLBzyZq/c85xZT/BNnDjRFFW77LJL1X1/+ctfZNSoUfLwww9HvX0AAADOoI4CAAAIhzoKAACggRN8y5Ytk9atW9e4f80115RFixbZNgfERmVlpSxYsMDcusyHOH2I0Zc4idEdvsRZH+ooAIVi3HQT/eom+rU4qKOAaDBm2SNn9shZOOTNXqXnObOe4Nthhx1k+PDh8v3331fd98MPP8hVV10l22+/fdTbBxRVJpMRH/gQpw8x+hInMbrDlzjrQh0FwAbjppvoVzfRr42POgqIDmOWPXJmj5yFQ97sZTzOmfUE38UXXywrV66UXXfdVfr27Wu+dt55Z0mn03LJJZc0zlYCAAA4gDoKAAAgHOooAACA6irEUvv27WX8+PHy8ccfyxdffCEVFRWy4YYbykYbbWTbFAAAgFeoowAAAMKhjgIAAGjgGXxK1zOdOXOmzJo1S/r06SNLlixhvXMAAIACUEcBAACEQx0FAADQgDP4tJA65phjzIUL9UuXRrjjjjvknXfekTvvvFO6d+9u2yQQC2VlZdKmTRtz6zIf4vQhRl/iJEZ3+BJnfaijABSKcdNN9Kub6NfioI4CosGYZY+c2SNn4ZA3e2We58w66ssvv1x69eolL7/8sjRt2tTcN3r0aPn9738vV1xxRWNsI1AUqVRKysvLza3LfIjThxh9iZMY3eFLnPWhjgJQKMZNN9GvbqJfi4M6CogGY5Y9cmaPnIVD3uylPM+Z9QTf9OnTzRFTmrRAkyZN5OSTT5b//Oc/UW8fUDR6Ye5ly5aZW5f5EKcPMfoSJzG6w5c460MdBaBQjJtuol/dRL8WB3UUEA3GLHvkzB45C4e82Ut7njPrCb7mzZvL3Llza9yvFzhu3bp1VNsFFF0mk5Gff/7Z3LrMhzh9iNGXOInRHb7EWR/qKACFYtx0E/3qJvq1OKijgGgwZtkjZ/bIWTjkzV7G85xZT/AdeuihcvHFF8uLL75YVUhNnDhRLrroIjnooIMaYxsBAACcQB0FAAAQDnUUAABAdRViafDgwdK2bVu59NJLzamPxx9/vHTo0EGOOuooOfbYY22bAwAA8AZ1FAAAQDjUUQAAAA2c4FMDBw40X0uXLpXKykpp06ZNmGYAAAC8Qx0FAAAQDnUUAABAAyb4brjhhjofP+WUU2ybBGIhlUpJs2bNzK3LfIjThxh9iZMY3eFLnPWhjgJQKMZNN9GvbqJfi4M6CogGY5Y9cmaPnIVD3uylPM+Z9QTftGnTqr6fP3++fP/997LJJpuYn31NItxQVlYmLVq0ENf5EKcPMfoSJzG6w5c460MdBaBQjJtuol/dRL8WB3UUEA3GLHvkzB45C4e82SvzPGfWE3z3339/1ffffPONHHjggXLfffdRTCHxMpmMWeKjvLzc6fezD3H6EKMvcRKjO3yJsz7UUQAKxbjpJvrVTfRrcVBHAdFgzLJHzuyRs3DIm72M5zkra8iLf/WrX5kLG8+ZMye6LQJKJJ1Oy+LFi82ty3yI04cYfYmTGN3hS5w2qKMA1IVx0030q5vo1+KjjgLCY8yyR87skbNwyJu9tOc5a9AE35NPPmlmRbmoMQAAgB3qKAAAgHCoowAAAEIs0bnLLruYImrJkiWycOFCOfPMM71e4xQAAKBQ1FEAAADhUEcBAAA0cILv1FNPNbd6lFT37t3NsggAAACoH3UUAABAONRRAAAADZzgW3/99au+nzVrlvnK1rt3b9smgdjw5UKcPsTpQ4y+xEmM7vAlzrpQRwGwwbjpJvrVTfRr46OOAqLDmGWPnNkjZ+GQN3spj3NmPcE3cODAqoRlMplqj+n9H330UXRbBxRReXm5tGvXTlznQ5w+xOhLnMToDl/irA91FIBCMW66iX51E/1aHNRRQDQYs+yRM3vkLBzyZq/c85xZT/CNHDlSxo4dKz169DDrnXft2rVxtgwAAMAx1FEAAADhUEcBAABUVyaWDjjgAHnmmWfM0gdHHnmkXHzxxTJnzhzbZoDYqaysNBfq1luX+RCnDzH6EicxusOXOOtDHQWgUIybbqJf3US/Fgd1FBANxix75MweOQuHvNmr9Dxn1hN8qkmTJnLUUUfJ5MmTpUOHDrL//vvLmDFjZPHixdFvIVBE6XRafOBDnD7E6EucxOgOX+KsD3UUgEIxbrqJfnUT/Voc1FFANBiz7JEze+QsHPJmL+1xzqyX6Dz//PNr3LfpppvKrbfeKhMmTJDXXnstqm0DAABwCnUUAABAONRRAAAADZzgy2ettdaS/v37R9EUAACAV6ijAAAAwqGOAgAAPrOe4BsxYkTjbAkAAIDjqKMAAADCoY4CAABohCU6s1FwIanKysqkVatW5tZlPsTpQ4y+xEmM7vAlzvpQRwEoFOOmm+hXN9GvxUEdBUSDMcseObNHzsIhb/bKPM+ZddSPPvqoLF++vHG2BiihVCplLtitty7zIU4fYvQlTmJ0hy9x1oc6CkChGDfdRL+6iX4tDuooIBqMWfbImT1yFg55s5fyPGehrsE3dOhQ6dChQ/RbA5RQOp2WFStWSNOmTZ2e8fchTh9i9CVOYnSHL3EWgjoKQCEYN91Ev7qJfi0e6iig4Riz7JEze+QsHPJmL+15zvyLGKhFJpMxRwPqrct8iNOHGH2Jkxjd4UucABAVxk030a9uol8BJAljlj1yZo+chUPe7GU8z1moM/jeeecdadeuXdXPOjPavHlz6d69u1RUhGoSAADAC9RRAAAA4VBHAQAA/E+o6ueUU06pcZ+ucdqnTx+59957wzQJAADgBeooAACAcKijAAAAGjDBN2PGjLz3/+c//5FDDjnEtjkAAABvUEcBAACEQx0FAABQXej1C5YtWyZfffWVWdv0V7/6lXTr1k1GjRoVtjmg5PSoP70Yp966zIc4fYjRlziJ0R2+xFko6igA9WHcdBP96ib6tbioo4CGYcyyR87skbNwyJu9lOc5s57gW7FihSmcxo0bJ6tWrfqlkYoK2XfffeWyyy5rjG0EikLX7m/ZsqW4zoc4fYjRlziJ0R2+xFkf6igAhWLcdBP96ib6tTioo4BoMGbZI2f2yFk45M1emec5K7N9wdVXXy0vvPCC3HzzzTJ9+nR544035MYbbzTfjxkzpnG2EigCPfqvsrLS3LrMhzh9iNGXOInRHb7EWR/qKACFYtx0E/3qJvq1OKijgGgwZtkjZ/bIWTjkzV7G85xZT/A9+eSTcsUVV8gOO+wgrVu3lrZt28pOO+0kw4YNkyeeeKJxthIognQ6LYsWLTK3LvMhTh9i9CVOYnSHL3HWhzoKQKEYN91Ev7qJfi0O6iggGoxZ9siZPXIWDnmzl/Y8Z9YTfDoT2qFDhxr3t2/fXpYsWRLVdgEAADiHOgoAACAc6igAAIAGTvD17dvXrHm+ePHiqvsWLlwoo0ePlt/97ne2zQEAAHiDOgoAACAc6igAAIDqKmxfcMEFF8hf/vIXsyRCly5dzH1ffPGFrL/++mYddAAAAORHHQUAABAOdRQAAEADJ/g6depk1j1/6aWX5PPPP5dmzZqZwmq77baTsjLrEwIBAAC8QR0FAAAQDnUUAABAdQVVQFos/fjjj1U/N2nSRHbddVc57rjjqo6e+vrrr83PQFKVl5fLGmusYW5d5kOcPsToS5zE6A5f4syHOgpAGD6Pmy6jX91EvzYe6iggeoxZ9siZPXIWDnmzV+55zgqa4GvZsqXcf//9smrVqhqPLV26VK655hrZZ5995LPPPpPGossu9OzZUyZNmlR130cffSRHHHGEbLXVVrLLLrvIfffdV+016XRarr/+elPw6XO04Pvmm2+qPSeKNgAAAOJcRwEAACRRHOoo9kcBAIBET/DpBYsfe+wxU1QMGzZMPvnkE3P/G2+8IXvttZc88MADcsIJJ8g///nPRtnIlStXyllnnWWKt8C8efPk6KOPlg022EAmTpwogwcPNhdb1u8DN910k4wbN85s8/jx401xNGjQIFmxYkVkbcAdlZWV5mLdeusyH+L0IUZf4iRGd/gSZxzrKMWOKSB5fB43XUa/uol+dbeOYn8UXMSYZY+c2SNn4ZA3e5We56ygCb7NN99cpkyZIhdddJFZ57x///5yxx13mJ00G2+8sTz99NNy6qmnmvXPG8PYsWOldevW1e6bMGGCWZrh8ssvl65du8qAAQPkqKOOkttuu808rgXPXXfdJUOGDJGdd95ZevToIWPGjJFZs2bJs88+G1kbcEu+owJd5EOcPsToS5zE6A5f4oxbHcWOKSC5fB03XUe/uol+dbOOYn8UXMWYZY+c2SNn4ZA3e6s8zlnBVyHWwkOPjrr77rtNUXHttdeaAuT222+X9dZbr9E28M0335SHH35YRo4cWe3+6dOnS58+faSioqLqvr59+8qXX35p1mefMWOGLFmyRLbddtuqx9u2bSubbLKJaTOqNgAAAOJaRyl2TAEAgCRjf1T+NgAAAP5XSdRBl0PIlslkJJVKyVprrVXjsQMOOCCyjVu4cKGcc845MnToUFlnnXWqPaY7h7p161btvo4dO5rbmTNnmsdV7uv0OcFjUbQBAAAQxzoqe8eU/h6dZAvUtlPp1ltvNTuVvv/++zp3Kum1bqJoAwAAoC7sj2J/FAAAaOAEn147JVfnzp3l73//e7X7tMiKsqC69NJLzfVi9t133xqPLV++XJo2bVrtvmBJhp9//lmWLVtmvs/3nAULFkTWRm123XXXWh/TYk2LtNx1YTV/ZWVlpmDVJaxylZeXm9t868nq6/T1IhlJpky1uAqJVXOkuYoqh0Fb+V4XvLa2doNtytduFP0aZaz6c3asUeawIdtbSA7ztRtsU3a72kbw1Vjvlzi0mx1nQ9rNl8M4vb+zY4yy3Si3tyE5DJ4fxBrVNrk29kQ5RhQaa1RKVUclecdUqeqoxnoPoG5B2pNQRxWz3ezP+TiOkUnIYTHaDV5baN/Y9GvcYo1LDuMYa9z//6COssf+KJ/2RzVMZvX+rCSNkfrc3J9ttikuY2+xx8ja9k1QR+VvN8hXXfsBXKgBGqPd3Pea63VUQ9utbOQxLe51VEETfM8//7wUmx6JpUeGP/HEE3kfb968eY3rt2gRpFq2bGkeV/qc4PvgOS1atIisjbC00xYtWlTtPi3c9Pdqp+Y+ptZYYw1zq4Ve7rqy+jp9fVL3S2XHrG9uPcJf6ZH/uX8AusyYni2g/RD0VyE51D+Ydu3ame/1OkS5f5Tap/pavV9/b+6SIK1atcrbbypoN1/faLtahOs1kLKvf6Q0jmDZtHzttmnTxgwEWvznvlf1Palf+vtytzc7h3qR0exBQr/X1+lztN3cHOq26jaHyaHmSHOl26ptR5XD4P2t9xeSQ/0d+qV50XZ1u7Vd7YNCc6h51/zny2F23+R7HwY5DC7yWlsO872/68ph7vs7O05tt5AxQnMQ/LNYVw6z6XtJ29ftyc1hXe/vQnOY7/0d5DA3xlKOEXXlsCHvb30PBmOPbd80xhhRXw7DjhH6OzR/+ru1zVKOEfne3/nGCN2W4H3XEKWoo5K+Y6o+1FFuSkId1VhjZL4aIPszUN+fcRsjk15H5SpWHZXdr9puY9ZR+XLoWh0VlzEiu1+13WKMEVHlkDqqJvZHUUfZyKzOWZLGyODvU8czV+uoqHIY9E2wAz573wR1VN1jRPDZqNuiuUra/qhS1VHB/wHZ7zXX66iGjhGZ1e+1YEzzrY4qaIKvFCZOnChz586ttpyUuuSSS8xFlPWIrdmzZ1d7LPi5U6dOVcnW+zbYYINqz+nevbv5Poo2ajN16tR6j6YKBppA9s7r3Mey5SvmgjdwBPVzSdQWs/5x5Xtu8Eedu9Ow0BzqH19ds+b6h52PPm7bN8E2aZt1vTbfY0GsOijmXjQ8u6Coq93c6y4F7errGyOHStvMzWHQbkNyWF+s+R4LXqvtZv9jFEUOVV05zC4o8qnr/V1XDhsyRmib2cvp2eQw+IAO8/6uK4f1vb/XXHPNWtst9hhRXw7Dvr+DI4Vs+6Yxx4jGHGeTNkYkUdJ3TFFH+SlJdZSijqKOinsd1ZAcJqmOCtpljIjnGJFE7I+ijrKRWp2zJI6RweOMkYXlsK59E9RRv6COavj7W9vNbZs6qrAcprImRH2qo2I7wTdq1Kgas6n9+vWTIUOGyH777Sf/+Mc/ZPz48WY2Njit8/XXX5cuXbpIhw4dTNL0TTJt2rSqYkiXqvrwww/liCOOMD/37t27wW00RPA7c2kH1vZYXa9b/WpJpvwx1xVr8IcZVQ51Yk93QuofeWP0TUNeG2Ws2XFGncPG2N4w7WqMeuSDxpg9+Jdymxqj3ew4s59fiu1trFh10kv/ua3t/RrXvrFpV/tRJzzqGnuKvU0+jj11vTaJkr5jqhCN9VmN4gvSnoQ6qpjt5vucj+MYGeccxrHdOPWrS+2Wept8+f8jzGuTiP1Rvu2PaphUzv6sOP595742GLOCg02TNuaUol1V274J6qj87eZ+NrpaA0Tdrj6eb19fY25v0nOYTviY1tA6KrZVmO4Y+vWvf13tS2mho48NGDDAnMZ54YUXyqeffiqTJk2Se+65R0444YSq2VgterQw06OXZsyYIWeccYbZGaWFmYqiDbhDJxL0lFjXr7/jQ5w+xOhLnMToDl/ijAutXXQiT8/kC76U7pgaPny42an01ltvVVu2InunUo8ePap2KgWCnUr6WhVFGwBqx7jpJvrVTfSrW9gfBdcxZtkjZ/bIWTjkzV7G85zF9gy++mhhdccdd5idVP3795e1115bzjnnHPN9QHdi6dEVQ4cONUdf6c6kO++8s+o0zCjaAAAAiBvd+ZRP9o4prYF0p9KgQYPk/fffNzuVLrvssho7ldq3by/rrbeeXHPNNTV2TDW0DQAAgKRhfxQAAIiLRE3wffzxx9V+3mKLLeThhx+u9fl66uPZZ59tvmoTRRsAAABJwo4pAACAwrE/CgAAxFG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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "fieldsToCount = [\"orders_amt_ent\", \"orders_amt_super\", \"orders_amt_transport\", \"orders_amt_shopping\", \"orders_amt_hotel\", \"orders_amt_avia\"]\n",
+ "\n",
+ "def countsOfOrdersByCategories():\n",
+ " rowsWithOrdersCount = {}\n",
+ " for field in fieldsToCount:\n",
+ " rowsWithOrdersCount.update({field: df[[\"id\", field]].groupby(field).count() })\n",
+ " \n",
+ " fig, axes = plt.subplots(2, 3, figsize=(18, 10))\n",
+ " fig.suptitle('Распределение количества заказов по категориям', fontsize=16, y=1.02)\n",
+ " \n",
+ " axes = axes.flatten()\n",
+ " \n",
+ " colors = plt.cm.Set3(np.linspace(0, 1, len(fieldsToCount)))\n",
+ " \n",
+ " for idx, (field, data) in enumerate(rowsWithOrdersCount.items()):\n",
+ " ax = axes[idx]\n",
+ " \n",
+ " plot_data = data.reset_index()\n",
+ " plot_data.columns = ['Количество заказов', 'Количество клиентов']\n",
+ " \n",
+ " x_pos = np.arange(len(plot_data))\n",
+ " bars = ax.bar(x_pos, \n",
+ " plot_data['Количество клиентов'], \n",
+ " color=colors[idx],\n",
+ " edgecolor='black',\n",
+ " linewidth=0.5)\n",
+ " \n",
+ " ax.set_title(field.replace('orders_amt_', '').upper(), fontsize=12, fontweight='bold')\n",
+ " ax.set_xlabel('Количество заказов', fontsize=10)\n",
+ " ax.set_ylabel('Количество клиентов', fontsize=10)\n",
+ " ax.set_xticks(x_pos)\n",
+ " ax.set_xticklabels(plot_data['Количество заказов'].astype(str))\n",
+ " \n",
+ " ax.grid(True, alpha=0.3, linestyle='--', which='both')\n",
+ " \n",
+ " for bar in bars:\n",
+ " height = bar.get_height()\n",
+ " ax.text(bar.get_x() + bar.get_width()/2., height + 0.1,\n",
+ " f'{int(height)}', ha='center', va='bottom', fontsize=9)\n",
+ " \n",
+ " plt.tight_layout()\n",
+ " plt.show()\n",
+ "\n",
+ "countsOfOrdersByCategories()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c60fe0bf",
+ "metadata": {},
+ "source": [
+ "### 01.12. Интерактивные графики распределений\n",
+ "\n",
+ "Сохраняем распределения заказов в HTML через Altair. \n",
+ "Так удобнее смотреть графики и использовать их в презентации.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "id": "3c64f410-1784-4f51-8e95-40f4f8c58409",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "График с группированными столбцами сохранен: orders_distribution_all_categories_grouped.html\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "[ Количество заказов Количество клиентов Количество заказов_str Категория\n",
+ " 0 0 117134 0 ENT\n",
+ " 1 1 958 1 ENT\n",
+ " 2 2 82 2 ENT\n",
+ " 3 3 9 3 ENT\n",
+ " 4 4 3 4 ENT\n",
+ " 5 5 2 5 ENT\n",
+ " 6 11 1 11 ENT,\n",
+ " Количество заказов Количество клиентов Количество заказов_str Категория\n",
+ " 0 0 115768 0 SUPER\n",
+ " 1 1 2281 1 SUPER\n",
+ " 2 2 129 2 SUPER\n",
+ " 3 3 9 3 SUPER\n",
+ " 4 4 2 4 SUPER,\n",
+ " Количество заказов Количество клиентов Количество заказов_str Категория\n",
+ " 0 0 112318 0 TRANSPORT\n",
+ " 1 1 5516 1 TRANSPORT\n",
+ " 2 2 311 2 TRANSPORT\n",
+ " 3 3 35 3 TRANSPORT\n",
+ " 4 4 8 4 TRANSPORT\n",
+ " 5 5 1 5 TRANSPORT,\n",
+ " Количество заказов Количество клиентов Количество заказов_str Категория\n",
+ " 0 0 117452 0 SHOPPING\n",
+ " 1 1 625 1 SHOPPING\n",
+ " 2 2 86 2 SHOPPING\n",
+ " 3 3 16 3 SHOPPING\n",
+ " 4 4 4 4 SHOPPING\n",
+ " 5 5 3 5 SHOPPING\n",
+ " 6 6 1 6 SHOPPING\n",
+ " 7 11 2 11 SHOPPING,\n",
+ " Количество заказов Количество клиентов Количество заказов_str Категория\n",
+ " 0 0 117759 0 HOTEL\n",
+ " 1 1 399 1 HOTEL\n",
+ " 2 2 28 2 HOTEL\n",
+ " 3 3 3 3 HOTEL,\n",
+ " Количество заказов Количество клиентов Количество заказов_str Категория\n",
+ " 0 0 117307 0 AVIA\n",
+ " 1 1 755 1 AVIA\n",
+ " 2 2 108 2 AVIA\n",
+ " 3 3 14 3 AVIA\n",
+ " 4 4 4 4 AVIA\n",
+ " 5 6 1 6 AVIA]"
+ ]
+ },
+ "execution_count": 36,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "combined_data_list = []\n",
+ "\n",
+ "for field in fieldsToCount:\n",
+ " data = df[[\"id\", field]].groupby(field).count().reset_index()\n",
+ " data.columns = ['Количество заказов', 'Количество клиентов']\n",
+ " data['Количество заказов_str'] = data['Количество заказов'].astype(str)\n",
+ " \n",
+ " category_name = field.replace(\"orders_amt_\", \"\").upper()\n",
+ " data['Категория'] = category_name\n",
+ " \n",
+ " combined_data_list.append(data)\n",
+ "\n",
+ "combined_data = pd.concat(combined_data_list, ignore_index=True)\n",
+ "\n",
+ "combined_data = combined_data[combined_data['Количество заказов'] != 0]\n",
+ "\n",
+ "if combined_data.empty:\n",
+ " print(\"Внимание: Все данные содержат нулевые значения или данные отсутствуют!\")\n",
+ "else:\n",
+ " chart_title = 'Распределение заказов по всем категориям'\n",
+ " \n",
+ " chart = alt.Chart(combined_data, background='#00000000').mark_bar(\n",
+ " cornerRadius=6,\n",
+ " opacity=0.8\n",
+ " ).encode(\n",
+ " x=alt.X('Количество заказов_str:N', title='Количество заказов', sort=None,\n",
+ " axis=alt.Axis(labelAngle=0)),\n",
+ " y=alt.Y('Количество клиентов:Q', title='Количество клиентов'),\n",
+ " color=alt.Color('Категория:N', title='Категория'),\n",
+ " column=alt.Column('Категория:N', header=alt.Header(title=None, labelOrient='bottom')),\n",
+ " tooltip=['Категория', 'Количество заказов_str', 'Количество клиентов']\n",
+ " ).properties(\n",
+ " width=100 # Ширина каждого подграфика\n",
+ " )\n",
+ " \n",
+ " chart = chart.configure_title(\n",
+ " fontSize=20,\n",
+ " font=\"Segoe UI Variable\",\n",
+ " fontWeight=600,\n",
+ " anchor='middle'\n",
+ " ).properties(\n",
+ " title=chart_title\n",
+ " ).configure_axis(\n",
+ " grid=True,\n",
+ " labelFont=\"Segoe UI Variable\",\n",
+ " titleFont=\"Segoe UI Variable\",\n",
+ " labelFontSize=14,\n",
+ " titleFontSize=16,\n",
+ " labelFontWeight=400,\n",
+ " titleFontWeight=600\n",
+ " ).configure_legend(\n",
+ " titleFont=\"Segoe UI Variable\",\n",
+ " labelFont=\"Segoe UI Variable\",\n",
+ " titleFontSize=14,\n",
+ " labelFontSize=12\n",
+ " )\n",
+ " \n",
+ " chart.save(\"orders_distribution_all_categories_grouped.html\")\n",
+ " print(f\"График с группированными столбцами сохранен: orders_distribution_all_categories_grouped.html\")\n",
+ "\n",
+ "combined_data_list"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7c9aaf2b-56ec-4496-a8bc-0d6843f3542d",
+ "metadata": {},
+ "source": [
+ "Большая часть записей содержит не более 1 заказа в день, также реклама влияет на то закажет ли что-то человек в сервисе, а не на то сколько заказов он сделает. Поэтому будем считать все заказы в 1 день как 1."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a93b981b",
+ "metadata": {},
+ "source": [
+ "### 01.13. Приведение заказов к бинарному виду\n",
+ "\n",
+ "Переходим от количества заказов к факту наличия заказа (0/1). \n",
+ "Логика: коммуникации скорее влияют на вероятность заказа, а не на число заказов в один день.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "id": "cf341e30-8d11-4aed-8e95-7f5d0ed5c0c3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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vt8SQi7HNMfxn+fGaXt87kklRuR6fF0MIloph8kIkfiqJObLKj+X03g+RQKomOVGcj1HxXmk4y0g8lX6HuC5feumlnKgonxeumM8rruHyJFat4vyJIf1CkTCJYQEjuRFJ/kIkVeI7xz2g+O7dSeTG9RbHNZJpUUYkZCNR/MEHH+ShIuO8KRJccR8qvc6j/H/961/p17/+ddscZJU+M1775S9/me9RkcQvHyI2kv2RGCodtjEaNsT5FXOclZfbnW2OhNjf//73fEy/+tWvdtimSMxEgqb0HOhKMXRsadKqtxTnVswn2VvXURyPuP/Efo+GIuVzC8ZxvOiii9rdh2Nu17iuovFCce5Vc/+K98a9sbP7ewwbHAnp0vd1JeYkjHM5rvHSxiCFuNfFsKOV9k1cIzGMbLniXOgqqRsJ4hhONO6j0VChXHFN1JLsjc+P8zWGOS1Ewi/O90rJRAAABgZz8AEADFAx/1zMg1SNSLpEUi4qKSOpU/RYKRJ4UeldKOb1WXDBBdP0FL1hKonPjYrQSNLFd41K21De46tc8b4QCcLSeQi7s14kssortSu9N+Yvq9Zrr72Wn+O4dfUZ0VMkKm5Lk1AxH1g8qhU9qGI+seipFEnemPNwen/vOG6RrIxESvQeKu+5VSRe47hWUvQi7M25paa1HyLpFj2SomdWzIVVOq9XcR5VOpaR6I5HZ2IettLvPL2up+hxG72qiqRWzMEXCcXolRe9ektF4u+WW27J74nvVvRarJTI745IBI0bNy7/HD0Zzz777HZJz5hn8dZbb837NXp1xj4pEnuV7j2FPffcMz/H8aqUMAmx/dHTN5JS8X3juplWuV1tc9wTY3/E3GydNQzo6vyMuQLjs+P7xf02ko2RgCw/33pDd6+j2I7uikYg8YieizHnXCXRMCR64Ubv3Oeffz7vh9jPpedPZ/u9kkiwFnNiVkrIdXZ/n9Z+6eq+39kxjERvJUWPvqLsSuIcin0Tx7pST+BIuF544YW5l1/ca6MRQJxn05rvMsT9KHp9xzUUjW5CzIUbvdMj+RdJdAAABh4JPgAA2nqbxDCA0fMvesetvPLKuTffMssskys7t9lmm3bvj54sM0JnlZtFBXEMIRqKHiHRg6SrCtHSnjLRSyiUDtHWmaL8GA6t6H3VmaK3V7WKpEYkmWK/VyOGbyxPwMWxLHoIdea8887Lw7lGcqvSsHDT43vH+RVDqsbQiTF0YCRgSnuOTqvyv9hP5T22emJa+yF6VEbPtkhq7L333rnHUOyTF198MScxOtvG6I3ZWZI6FEmP3uyRWUn0WKrU+zA+N5IOkSyObY7j8cc//jEntZZddtmc6IrzMXotRaKy6IVVjUg4RGKkSCpGgiOSGJEwjYRIJOhiKMRImEUidcMNN8znciRzdtppp7ZkabkLLrggJ8hiuMVI1pT3BL3jjjtyQi3uVXGNx1CFn//853NyKs6xOI7VbnN3ElPFsax0fsY2lYt7WDVJtu7q7nVUOnzstOy+++75Hhr7NXpNxjEovd/GPfUHP/hBHlI1klNxPKMHWRzP6H1XJJ+qUbo/O+vVO60EXKmeHMPi701nZXY2tGY0DLjppptyD9y4lir17oxz85RTTknHHHNM3r/ViHtq7OtoHBLHNRKicR3H8KHlQ6UCADBwSPABANA2t1EkhI499tg8h16pSkMvTms4sQcffDBXWkclfel8YtWK8ovPKlVU+hc9nuI9MVxnzDPYnUreEEPtxXrd6cFXJK+i11kMY1it7vR+Kj4jknvVfkbMe3XAAQe0ey2SJl0l+KK3VCTXotK8mI+tt793ZxZffPH005/+NPe4jMRZVH4XledxTCJxFscz5ngsV/SYi/kYy9XSy6w7+yHEdRGJsBi28R//+EceGjB6R0VCIxKWlfZb9FQsPy6VFO8vevSVi2spjmUkV2IOv2pFYqE4fpHwigRMJDVjWNK45mPowNtuuy0nBSIZE9+x/Lot5qysVvH943MjQRTDCMbwm7HfIqEa52lsX8w9GOdZec/KzkTSNealjCE647vFcKjF8KYxXGF8r7i3RRKqtMdliLnJatnm733vezkhFj0BY39U6sXX1fkZiZ5IAkUSJu63UW6c//F5cXzLe7P2RHHfLIYxrmY7OxPXaCTsondjnCPRA7c0sRoJ8Di3dttttzyvYmlCrOg9Wa1IpMc+j2MRCbCeJvantV9K90358ejs713x96h0br5SMRxx9KaL+Ti7Egn1VVddNZ9zcQ+M+18k2KPHX/TO60r01IvrIP6uxfZEks/wnAAAA5s5+AAAyMmDqNCcffbZOyT3QjFfVdHjIxTzEMU8P5VExX0MCVgM81mrYp6wUo8//ngeOi2SHUViJCr3O3t/iEr0GIqwSHhFJXQkBrpK6JSKXoyRCIwK3mLovlJRmfqtb30r77+ip1Tp/uqs50ep4jtEr6RiSLpS//u//5vn94q5xaoZ4q4zUVkeyYaueovU8r2r6XW45ZZbpqeffjqNGTOmw364++67K673u9/9rsNwfcW+7s5+rmU/FL7xjW+km2++OZ870Qsnfj7yyCM7vK/4DjFMYel5UJpgirKOP/74/HskCiOhFud17I9K74+EVaUeYNWK7xqfVQzZ+cADD7QN4xniOilP7kXCrFhe6fuUinMlyi6+W+nnrrfeevnnotdjUWYkhMqTe7GPi6RiZ58ZCd1DDz00L48hCkt7ksU2xzlWntwrvacV11F3tzkSTdG7OT6vUpIwklBFIqbSfHGF6PUWycG4niMJHPPUxTCivak4B++6665uX0fdFb29I/EWieG4l5bem4vl5ddicZ515xwqFQm9GPo31onrqVwcw5ij8rvf/W568sknp1le3M/ieoseu5XmH4zhiIttLfZhaWOASkPyFudCpV7OMXdmJN1+9KMfVWysUiqSvnF/j+Tedtttl6/3c845Jx1xxBHT/F7FPICxLbFeHJ9iLkEAAAYmCT4AANLw4cNzxXX0lhk7dmy7Zffcc0+eF6iYu6sQc3fFsIqRjIhK3tKEU/SGisr5qFyvdqjJcpdffnlbEiBEAqSYryqG7ytEBW9UKP/sZz/LvQdLxbyCUeEZlf5F76dIKMUwbNtuu223tyV6HIVIKPz73/9uez32SyQGYji/qKAt5m8qkhPR06s7YhjBGJ4wenFFj8rSHlNRiR6vRW+n6LVY63xohRgaMSqxo6dIZ3N01fq9qxGV3nHuxTkWCZkQxyR6Z8U8cPEoFT39oqdZLC+db7FYt7v7upb9UI1I7sS5Hz22zjjjjHbXThzD6NET81xGT8ZCDFUZ4vwuTYxHQqEYCjF6uvWWomdukVgr5nSMpH3pELyRCIkeZvFczJnXlSgnEjExD9tvf/vbttdjvSJpW5wrxWeW9zR99tln2/V26uozo7FBJFYiuVMks4pyI1ES+7kQ96m4H9xwww3tyq1mm4vrIY5rHN9C9LI64YQT8jUSjQ+iJ9a0RGIvtjGUJzh7KhLIkVCKJNZFF13U7h4dx/iyyy7L98xIJFUrkpPRcy+u+zg3C50dz2i0UJqALb0euqO410cZpT3KI+kXCbD4jtHAoHQI5q4UxzCutdKEXdxH4ryLe28Mb1l+T4h9GAn90ntzJHSjd2ck1L797W93+Ky4h8UwvcVndiV6scbf1BjaN+731YjPiB5/cf5Gz9DokVzN8KsAANQfQ3QCAJCTItH7IebY2nHHHXOvhejNFwmxqHwuejtEz4aokI73R7Lh7LPPzhWvMdRfJNAioReV21FBGfP+RC++nip6FUYvk0jqPPTQQ7kSNoYyK03wxLxaUfEaiZPYppg/LCrkY/vje0RF9plnnpmHXIueOjFXUVR+RqKvtPdYoUhmnH766bn3XyQzY99E4jIqUGPos6iEjUrdSCxEoiiGuot9EsOjxXPRS6l0frlpiQrsSADdeeedOfEUnxHJvEi8RmV6JDO6M+TjtERFdRzX6Dk1Ld393rWI3jSR0Iv5zWK4v3322Sf3Hov9HkP8xRCMMcdaJMLiWEYvwhjqLpIrsf2RlLn11lvbEtMxnN302g/ViGMW539U6sf3iuO53HLL5esntjWSQVEBXyT1wi677JITIZF8id44cc5HIiTeH+vFnIXFEJTViiR50WMvvnMkyqNXUSiuo6233jrfA6J3W/Qsi+2NREa8Lz4/9m30YJrWfHFxXUWPo+gRGedqJOkjKR3nUJwv8XORWI9rNXqunXvuuTkpFNds9KaL98Z9Jn6PxM20PjP2TZwLsc+jx96iiy6ah62N6zzuFbEvI4EWyaG4Psu/SzXbHOXHsbriiivy3KSRyIv55uK9kZyP8ym2o9JcoFF+kZyP+1j0yo1jEddBVz3+ahHXSTR42GOPPXISLK6TSIDF/o3zIe6JkUSq9ZyKczeuzUiWxnkeQyPvvPPO6dRTT83fM5Kl0cO6+JsQ94z4Pb5vPCoNb9qZ8n0e52YkL+N+EAm6+K5xDnV3+M5oEBL7IHoxbrLJJvn8iDLiWot7fwxTG8m2cvE3KD4zrs/4O1lcR3Guxj0rzoNyRVJwWttWJAqjrLi/1ZKci+0qGuQYnhMAYODTgw8AgCwqt2MIwKj4jsRNJBmiAjiGWouK4ah8jt4SpUNgRmVx9E6I5GD0dInK9Kg8jorF6GlVbbKlkughFhW7kSyLXgmf//zncwVyVKZWqnCORFFUckZFe8wnFkmxqMCNitNIqBRDpkXleiRZ4udKj1gvRNKhSAIUSc347EhyRUVvJEOiB2RUbMd+ikRU9IQsegxGRXRpz5VpiWRZVJjHXIJRgR0Jnxj2LsqNSuJIFkVFdG+ISvju9Hjr7veu1Z577pmTL5FUKYb7iwRTHLM4l+K1qPyO/RpJqDi3iuHoIukX+zrm94oeN3G+Tq/9UK3YJ7FvoqdTJAYiYRv7LpLRcQ7HPi0dxjCGg4yeVsccc0xOlkRP1Eg4xHUW8xXuvffeNW9LJMmKczv2V2xHJDHimi8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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "for field in fieldsToCount:\n",
+ " df.loc[df[field] > 0, field] = 1\n",
+ "\n",
+ "countsOfOrdersByCategories()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "id": "f65ed817-f16a-4561-ab1a-c0ab9146fd7a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data = {\"ent\": 1055, \"super\": 2421, \"transport\": 5871, \"shopping\": 737, \"hotel\": 430, \"avia\": 882}\n",
+ "\n",
+ "chart = save_horizontal_bar_chart(\n",
+ " data_dict=data,\n",
+ " chart_title=\"Расходы по категориям\",\n",
+ " file_name=\"horizontal_bar_chart.html\"\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a5b9f624",
+ "metadata": {},
+ "source": [
+ "### 01.14. Контроль качества признака age\n",
+ "\n",
+ "Проверяем распределение возраста и долю аномальных значений. \n",
+ "Это важно, чтобы не использовать сломанный признак в дальнейшей модели.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "id": "780634e5",
+ "metadata": {
+ "ExecuteTime": {
+ "end_time": "2025-12-05T18:56:36.258317Z",
+ "start_time": "2025-12-05T18:56:36.251836Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "count 118,189.000\n",
+ "mean 42.360\n",
+ "std 9.930\n",
+ "min 15.000\n",
+ "1% 22.000\n",
+ "25% 36.000\n",
+ "50% 41.000\n",
+ "75% 48.000\n",
+ "99% 68.000\n",
+ "max 80.000\n",
+ "Name: age, dtype: float64\n",
+ "Outlier share: 0.0\n"
+ ]
+ }
+ ],
+ "source": [
+ "age_check = df['age'].describe(percentiles=[0.01, 0.25, 0.5, 0.75, 0.99])\n",
+ "age_outliers = df[(df['age'] < 14) | (df['age'] > 100)]\n",
+ "print(age_check)\n",
+ "print('Outlier share:', len(age_outliers) / len(df))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5bfeadbb",
+ "metadata": {},
+ "source": [
+ "### 01.15. Данные во времени\n",
+ "\n",
+ "Смотрим, как распределено число записей по датам. \n",
+ "Так можно заметить провалы/пики, которые могут влиять на агрегированные выводы.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "id": "34341432",
+ "metadata": {
+ "ExecuteTime": {
+ "end_time": "2025-12-05T18:56:36.414766Z",
+ "start_time": "2025-12-05T18:56:36.317343Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "cnt_by_date = df.groupby('business_dt').size().reset_index(name='n_records')\n",
+ "fig, ax = plt.subplots(figsize=(12, 4))\n",
+ "sns.lineplot(data=cnt_by_date, x='business_dt', y='n_records', ax=ax)\n",
+ "ax.set_title('Количество записей по датам')\n",
+ "ax.set_ylabel('N')\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "id": "5e909c0c",
+ "metadata": {
+ "ExecuteTime": {
+ "end_time": "2025-12-05T18:56:36.596471Z",
+ "start_time": "2025-12-05T18:56:36.421563Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig, axes = plt.subplots(1, 1, figsize=(10, 4))\n",
+ "sns.boxplot(data=df, y='age')\n",
+ "axes.set_title('Возраст (boxplot)')\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2bcbe13a-b64c-4b1c-887c-687c6460c0c4",
+ "metadata": {},
+ "source": [
+ "Введем новую переменную (плотность заказов)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "09fae078",
+ "metadata": {},
+ "source": [
+ "### 01.16. Агрегация до уровня клиента\n",
+ "\n",
+ "Суммируем показатели по каждому клиенту. \n",
+ "Это переводит анализ с уровня “дня” на уровень “пользователя”, что удобно для сравнения поведения клиентов.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "id": "5b9e3d6a-9624-4a11-9984-de5b1a44b04d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " active_imp_ent | \n",
+ " active_click_ent | \n",
+ " active_imp_super | \n",
+ " active_click_super | \n",
+ " active_imp_transport | \n",
+ " active_click_transport | \n",
+ " active_imp_shopping | \n",
+ " active_click_shopping | \n",
+ " active_imp_hotel | \n",
+ " active_click_hotel | \n",
+ " active_imp_avia | \n",
+ " active_click_avia | \n",
+ " passive_imp_ent | \n",
+ " passive_click_ent | \n",
+ " passive_imp_super | \n",
+ " passive_click_super | \n",
+ " passive_imp_transport | \n",
+ " passive_click_transport | \n",
+ " passive_imp_shopping | \n",
+ " passive_click_shopping | \n",
+ " passive_imp_hotel | \n",
+ " passive_click_hotel | \n",
+ " passive_imp_avia | \n",
+ " passive_click_avia | \n",
+ " orders_amt_ent | \n",
+ " orders_amt_super | \n",
+ " orders_amt_transport | \n",
+ " orders_amt_shopping | \n",
+ " orders_amt_hotel | \n",
+ " orders_amt_avia | \n",
+ "
\n",
+ " \n",
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\n",
+ " \n",
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+ " | 1 | \n",
+ " 4.000 | \n",
+ " 2.000 | \n",
+ " 14.000 | \n",
+ " 8.000 | \n",
+ " 6.000 | \n",
+ " 1.000 | \n",
+ " 8.000 | \n",
+ " 3.000 | \n",
+ " 0 | \n",
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+ " 1 | \n",
+ " 0 | \n",
+ " 9.000 | \n",
+ " 0.000 | \n",
+ " 3.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 6.000 | \n",
+ " 2.000 | \n",
+ " 12 | \n",
+ " 1 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 5.000 | \n",
+ " 2.000 | \n",
+ " 13.000 | \n",
+ " 8.000 | \n",
+ " 7.000 | \n",
+ " 8.000 | \n",
+ " 2.000 | \n",
+ " 1.000 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 9.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 18.000 | \n",
+ " 0.000 | \n",
+ " 13.000 | \n",
+ " 0.000 | \n",
+ " 34 | \n",
+ " 2 | \n",
+ " 14 | \n",
+ " 2 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 3 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 3.000 | \n",
+ " 2.000 | \n",
+ " 13.000 | \n",
+ " 7.000 | \n",
+ " 25.000 | \n",
+ " 18.000 | \n",
+ " 11.000 | \n",
+ " 8.000 | \n",
+ " 3 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " 1 | \n",
+ " 43.000 | \n",
+ " 0.000 | \n",
+ " 18.000 | \n",
+ " 0.000 | \n",
+ " 59.000 | \n",
+ " 0.000 | \n",
+ " 60.000 | \n",
+ " 0.000 | \n",
+ " 22 | \n",
+ " 0 | \n",
+ " 34 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 2 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 6.000 | \n",
+ " 4.000 | \n",
+ " 2.000 | \n",
+ " 1.000 | \n",
+ " 2.000 | \n",
+ " 3.000 | \n",
+ " 5.000 | \n",
+ " 5.000 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 4 | \n",
+ " 1 | \n",
+ " 3.000 | \n",
+ " 1.000 | \n",
+ " 9.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 6.000 | \n",
+ " 0.000 | \n",
+ " 5 | \n",
+ " 0 | \n",
+ " 10 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " 2.000 | \n",
+ " 1.000 | \n",
+ " 8.000 | \n",
+ " 6.000 | \n",
+ " 4.000 | \n",
+ " 5.000 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 5 | \n",
+ " 1 | \n",
+ " 1.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 7 | \n",
+ " 0 | \n",
+ " 6 | \n",
+ " 2 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " | 8335 | \n",
+ " 7.000 | \n",
+ " 3.000 | \n",
+ " 5.000 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 3.000 | \n",
+ " 4 | \n",
+ " 0 | \n",
+ " 3 | \n",
+ " 1 | \n",
+ " 8.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 3 | \n",
+ " 2 | \n",
+ " 5 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | 8336 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 3.000 | \n",
+ " 6.000 | \n",
+ " 9.000 | \n",
+ " 4.000 | \n",
+ " 4.000 | \n",
+ " 1 | \n",
+ " 1 | \n",
+ " 5 | \n",
+ " 0 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 0.000 | \n",
+ " 12 | \n",
+ " 0 | \n",
+ " 12 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | 8337 | \n",
+ " 9.000 | \n",
+ " 8.000 | \n",
+ " 8.000 | \n",
+ " 8.000 | \n",
+ " 3.000 | \n",
+ " 2.000 | \n",
+ " 3.000 | \n",
+ " 3.000 | \n",
+ " 4 | \n",
+ " 2 | \n",
+ " 1 | \n",
+ " 1 | \n",
+ " 8.000 | \n",
+ " 0.000 | \n",
+ " 6.000 | \n",
+ " 0.000 | \n",
+ " 13.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 6 | \n",
+ " 3 | \n",
+ " 12 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 3 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " | 8338 | \n",
+ " 1.000 | \n",
+ " 3.000 | \n",
+ " 7.000 | \n",
+ " 4.000 | \n",
+ " 8.000 | \n",
+ " 7.000 | \n",
+ " 2.000 | \n",
+ " 2.000 | \n",
+ " 3 | \n",
+ " 0 | \n",
+ " 3 | \n",
+ " 1 | \n",
+ " 3.000 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ " 0.000 | \n",
+ " 7.000 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 3 | \n",
+ " 0 | \n",
+ " 13 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 3 | \n",
+ "
\n",
+ " \n",
+ " | 8339 | \n",
+ " 3.000 | \n",
+ " 2.000 | \n",
+ " 3.000 | \n",
+ " 1.000 | \n",
+ " 12.000 | \n",
+ " 6.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 2 | \n",
+ " 0 | \n",
+ " 4.000 | \n",
+ " 0.000 | \n",
+ " 3.000 | \n",
+ " 0.000 | \n",
+ " 22.000 | \n",
+ " 0.000 | \n",
+ " 70.000 | \n",
+ " 0.000 | \n",
+ " 3 | \n",
+ " 2 | \n",
+ " 21 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
8339 rows × 30 columns
\n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "corr_matrix = summs.corr()\n",
+ "\n",
+ "sns.heatmap(corr_matrix, \n",
+ " annot=False, # Показывать числа в ячейках\n",
+ " cmap='coolwarm', # Цветовая схема (синий - отрицательная, красный - положительная)\n",
+ " fmt='.2f', # Формат чисел (2 знака после запятой)\n",
+ " linewidths=0.5,\n",
+ " xticklabels=True, # <-- Показать все метки по X\n",
+ " yticklabels=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7d8f6f61",
+ "metadata": {},
+ "source": [
+ "### 01.18. Корреляции внутри категории\n",
+ "\n",
+ "Отдельно смотрим одну категорию (например, развлечения), чтобы увидеть связи:\n",
+ "показы → клики → заказы внутри одного сегмента.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "id": "0ec6c4bd-69e1-4ae0-a07a-a8af6ffa206d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 44,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "corr_matrix = summs[[\"active_imp_ent\", \"passive_imp_ent\", \"active_click_ent\", \"passive_click_ent\", \"orders_amt_ent\"]].corr()\n",
+ "\n",
+ "sns.heatmap(corr_matrix, \n",
+ " annot=True,\n",
+ " cmap='coolwarm',\n",
+ " fmt='.2f',\n",
+ " linewidths=0.5,\n",
+ " xticklabels=True,\n",
+ " yticklabels=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ea09a908",
+ "metadata": {},
+ "source": [
+ "### 01.19. Сравнение категорий\n",
+ "\n",
+ "Строим корреляции отдельно по каждой категории, чтобы сравнить,\n",
+ "где связь “коммуникации → заказ” сильнее/слабее и отличается ли структура связей.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "id": "a2050bc9-6c81-4b36-a54c-78394eb37dbb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "prefixes = [\"ent\", \"super\", \"transport\", \"shopping\", \"hotel\", \"avia\"]\n",
+ "\n",
+ "base_columns = [\"active_imp\", \"passive_imp\", \"active_click\", \"passive_click\", \"orders_amt\"]\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "id": "5921553a-f176-4ff9-b095-a1282b4665af",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def create_correlation_matrix(df, prefix):\n",
+ " columns_with_prefix = [f\"{col}_{prefix}\" for col in base_columns]\n",
+ " \n",
+ " existing_columns = [col for col in columns_with_prefix if col in df.columns]\n",
+ " \n",
+ " if len(existing_columns) < 2:\n",
+ " print(f\"Для приставки '{prefix}' недостаточно столбцов: {existing_columns}\")\n",
+ " return None\n",
+ " \n",
+ " corr_matrix = df[existing_columns].corr()\n",
+ " return corr_matrix\n",
+ "\n",
+ "def plot_all_correlation_matrices_1(summs):\n",
+ " n_prefixes = len(prefixes)\n",
+ " n_cols = 3\n",
+ " n_rows = (n_prefixes + n_cols - 1) // n_cols\n",
+ " \n",
+ " fig, axes = plt.subplots(n_rows, n_cols, figsize=(5*n_cols, 4*n_rows))\n",
+ " fig.suptitle('Корреляционные матрицы для разных приставок', fontsize=16, y=1.02)\n",
+ " \n",
+ " axes = axes.flatten() if n_rows > 1 or n_cols > 1 else [axes]\n",
+ " \n",
+ " for i, prefix in enumerate(prefixes):\n",
+ " ax = axes[i]\n",
+ " \n",
+ " corr_matrix = create_correlation_matrix(summs, prefix)\n",
+ " \n",
+ " if corr_matrix is not None:\n",
+ " sns.heatmap(corr_matrix,\n",
+ " annot=True,\n",
+ " cmap='coolwarm',\n",
+ " fmt='.2f',\n",
+ " linewidths=0.5,\n",
+ " xticklabels=True,\n",
+ " yticklabels=True,\n",
+ " ax=ax,\n",
+ " vmin=-1, vmax=1,\n",
+ " cbar_kws={'shrink': 0.7})\n",
+ " \n",
+ " ax.set_title(f'Приставка: {prefix}', fontsize=12, pad=10)\n",
+ " ax.set_xticklabels(ax.get_xticklabels(), rotation=45, ha='right')\n",
+ " ax.set_yticklabels(ax.get_yticklabels(), rotation=0)\n",
+ " else:\n",
+ " ax.text(0.5, 0.5, f'Нет данных\\nдля {prefix}', \n",
+ " ha='center', va='center', transform=ax.transAxes, fontsize=12)\n",
+ " ax.set_title(f'Приставка: {prefix}', fontsize=12, pad=10)\n",
+ " ax.set_xticks([])\n",
+ " ax.set_yticks([])\n",
+ " \n",
+ " for j in range(i+1, len(axes)):\n",
+ " axes[j].set_visible(False)\n",
+ " \n",
+ " plt.tight_layout()\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "id": "62f4f2d4-1e97-430a-8767-313cc5c77b04",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def save_all_correlation_matrices_altair(df, prefixes, base_columns):\n",
+ "\n",
+ " charts = []\n",
+ " \n",
+ " for prefix in prefixes:\n",
+ " columns_with_prefix = [f\"{col}_{prefix}\" for col in base_columns]\n",
+ " \n",
+ " existing_columns = [col for col in columns_with_prefix if col in df.columns]\n",
+ " \n",
+ " if len(existing_columns) < 2:\n",
+ " print(f\"Для приставки '{prefix}' недостаточно столбцов: {existing_columns}\")\n",
+ " continue\n",
+ " \n",
+ " corr_matrix = df[existing_columns].corr()\n",
+ " \n",
+ " chart_title = f\"Корреляционная матрица: {prefix}\"\n",
+ " chart = save_altair_correlation_matrix(\n",
+ " corr_matrix,\n",
+ " chart_title,\n",
+ " file_name=f\"correlation_matrix_{prefix}.html\"\n",
+ " )\n",
+ " \n",
+ " charts.append((prefix, chart))\n",
+ " \n",
+ " return charts"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "id": "44d8077f-78ae-43ab-aae0-13050941306a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "save_all_correlation_matrices_altair(summs, prefixes, base_columns)\n",
+ "plot_all_correlation_matrices_1(summs)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ebdceb39",
+ "metadata": {},
+ "source": [
+ "### 01.20. Краткие наблюдения\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f9171a75-688d-4b14-b26f-9ba9d08acdc0",
+ "metadata": {},
+ "source": [
+ "Фактически полученные значения корреляций это конверсии. \n",
+ "- Можем увидеть четкую взаимосвязь во всех категориях между показами и кликами в активных/пассивных коммуникациях\n",
+ "- В развлечениях, супермаркетах и транспорте пассивные коммуникации показывают большие конверсии в заказы, чем активные\n",
+ "- В шоппинге и отелях ситуация обратная\n",
+ "- В авиабилетах ситуация крайне странная\n",
+ "- корреляции между пассивными и активными кликами практически нет"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "id": "57f78e8d-e720-40e7-899a-47afc851629b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 49,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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yb8U4F22xb6OM+5YsvDb3rYcY523UsbtvO9O+NWDvWW2ZzovQYCkTaKaQsCMvQUiQ9Xnv5SZix/5ZizqnrxbAz1PC2kgE+0qYhe9ehB+5b29dPYLwZr3M5oe36IN8TQ6zAlqSr8lGs86Po26T7mbzvQPqsO+0lNsw6PWoHdEBTTuNtF0m+Va528x5RMTf1atX8cwzz7B31DVs2JC5E8kSJbBv3z6MGjWKvcaERq7+9ttv2StO3nrrLeaqpPfYhYeHF7lAaX5OTg6aNWuGP/74w2xdNBJ2165dodfrmeD55Zdf2Ppo2YMHD8batWvL1HZhfQRZznr16oW//vqLrYOW+dJLL+HOnTt4/fXXWXuo/f/8849Z/c8//xyvvvpq0fb9/PPPZRZjtL1vv/02WrZsyd7nR20iV65AVFQUnn32Weaipf+pXXFxcUXWS+oXmqZ+JEsq8e+//6Jfv35o3Lgx+16yZAnrt/uN+lYCdtfrhUtvzIAut/SYLXLfEjnXbprNz40yvuvQJaw2xEoFnGoFI+datFmZ/JQ0FGRksTKOQrFqSXe1sNxFialaBPmWLNCq+cmQmGLtnjOtd/56HhauTLO6eTWrp0LsHfuxXbEp6SjQ6lDTz9tsfg1fT/YdcyfVpvgj5DIpXpz3F9q8NAOdX5uFr5ZvZWJSgETgyg+exWcTBsPDpeQYNnuQK1YmFSEx1fyGeueucTrAx1rAkPAjSquTV2DAO/NSsWB1JrJLcC3aw9tdxFyNyRY3SeGmKdxMTaHYMSI53fxASM0wlFiHLH41AyRYsz/f6vixh4/QvnTb7SORZ9U+L6F9FnUK20t1SESQwEjLMmB4Fzk+n+KMr6c6Y3KkEu7OZbeAVA9UIDElH3qLbUtIykdwgLW4FwgOVNiMCYxPyke1wnq1qyvYdMO6Tvju3dpYNb8eFnwegj6dPOy2ieL1jH1nsN13NvetyHbfZQrHg8j2vvWXMCtwWfYtxWLSeZGUZn6MJ6cbp/0K96MpAYUPPXes6ujNjs1qfhLkagx4aqATvn7eDd+84IaJkSq4lWHfpqfchk5bAC+/WmbzPX2ND9Wpd8yvqYSHT3X0HfNRkZATuHp6B8QSGVuWSCxGjxFvIaxpT4sy29m3T1BdPAzEElGFfB41Hrj4U6vVmDRpErOgkWhav349+vbti5kzZ+LSpUs4deoUnn76aSZYSFx99tlnrNz8+fPx7rvvMlFComr//v1my3V2dmbLoeWZsm7dOibyxGIxE5F//vkn3n//fTb/ySefZK9E+f3338u9PfHx8di8eTMTcDTi9o4dOzBw4EA0aNCAiSnhtSsUqyhAbSDrIW0fvZ9v3rx5TJSWha1bt8LPz48tg1zh9OoXYRkk6kg8y+VyJuBIWNO7AceOHYvs7GzW//QJCAhg/RgYGIi///6bLeeFF17Ahg0b2CtjaHmzZs3C/aYgLQOauDsOl5e6Gy0D2kyjW1CAXLzsfzcXyNxdbZYRylEZR3FSilkskyVkDSQLVklQPJPaRoC1Js9gt96YSA8E+spKdCcLZKuNQtlZaX6TdVIa42ay1daxQ2nZxgcEsuqFBPli7vOPY2Kf9vh3/0l8sHRdUTmZVIJaAeaisqxQv9mKNdLkG6dJhFjXEZVSx7hMnc5aIJYFwVUsLFdA8HDbciUL3WxZR5i22A2Mrk1liE7QIaqMFrXi9qGE9pVhmwqE9ongojKWGdheDg8XMZZu1uCvnXnMNf3CMBXkZQwEclLRMW69bRQXq1KWHB5DbvzcEuoJx427ixTeHlK8NikIW/en48PZt3DqUg5eGBtoVwBSAgrbbqt+MH7byGlyoL9FFbZvheO+LMdecR3z+ZoC820myx/FdN66o8OPq3Owco8adYOlmDbS2eF9m6fOYt9ylfk1UqF0Zt/5autrqi2unNqGc4dXMYugytndZhmy9u38ZyZzMYc27IKHgUgsqpDPo4b0YYg/El0Ua0aCjSCr1IIFC9grTPbu3cssYtOnG91/ISEh+OSTT5CamsoEk1KphEwmg6+vr9Wyhw4dypZN4ocSIuilxzdv3sSwYcOYVWzx4sX43//+x6x0RI0aNVjZhQsXljv2TavVMjFJ7QwLC0O9evVY+yZOnMj+p+8VK1awdnh6Gi0ytWvXZoKQsqaoHlnpKJFiypQpdjM0TSHrHAlHYTs6dOiA8+fPs2myfjo5OTHhRgKQIGFKFs81a9awbaX/KXZR6EcS11OnTkVkZCSbrl69OhOKH3/8MV5++WVUJugJ0h7kXkCpZWw/qlP3W+4Ce7ukhMUwxOWoRxnF/Tu5Yd3uTBw7b504YL4M++YGCh63RFsY7NS9ST1MG9qD/W4VXotZnr9fvQtTB3RGTf97E30CpR3Ktppf2vFfUeEK4nK1rWx1agWIUd1PgkUby5aBXJ51OVqHrMoEZTYv2qCBsJiUdD1eGemEFuFSHLqgdfjcsNeP9vaVvbYK1aRSEdxdpfjix1gcOpVVFPPn6yVjSSUlxfyVdgWtiH1LyTgkmH/dZDs5wx73s31/bhPiTo3nOWVxJ6Tq8erjLmhdn5JZSo/fNRj093T9Ja6c3Io1C19D9ZAW6D78DZtlUhOj8Nd3kyEWSzH0me8dWi7nERZ/Xl5eGDNmDLPQXbx4Ebdu3cLly5fZf+RiJJcwCRlT+vTp49CyyY1M78GjZZNbmVy6zZs3R82aNZkQzMvLw2uvvcasgKbiLT8/HxqNhgnL8kDiS4BEFVnSBBQKoxWG1iFArljTmxxZMsnKRtZB6h9HqFXL3CTv7u5e5NalPiR3uiD8CBJ5JDrpP0vu3r2LxMREJoxnz55dNJ/2B/UZuYWF7bAHiUt7kFW0ItBmGG8EUlfjw4OAYM3TZmQXWfwsywjlhGVYMqynOx7rZf6UevhsLtxdrK0YZIWyZfUQIMuG8ERuVk8psqpHcUBTR3mjfVNnJvz+2FhyMLuAi8p4vFomZNDQLOx/G8ezYBXs1CjUbH77+iFM/JFbuKLEn2DZsbRkCFYMck9Zoi5HnfIgWBYVFmN8CVYhSoiwRLC6GNtmKNVq1LiOlLX30q2yWyiFZSlkJVgfbWRuCpYk4zbZap+hyPp1KUZnUoJCBPSsT8hyBNgWf49H+mDMQPOH7v0nMuHhan0bIetdjtrOuaG2bTU3rUfHgl5vYEPAmHLyQjZaNHBhQ8WkZ+lK7ge57X1ruZ/YPOF4kDtm7aWs6vLuW3UJ7ROuFbaycoV5yhKOB+F/skRaciNex9pKYtURFCqj14Ti+0zJ0xj3g8LCImjJ0e2LmTWvRlhrDH9uns0M3pgrR7DyxxchVzjhideWwNO3+B76oBEJT0RVjAcu/sj9SC5JEjndu3dHx44d0ahRI3TpYjT5SqXlbxIJqiFDhjCX7lNPPYVNmzYx96XpU+h3332HOnXM4xIIU6FUVsjSZ4qpuLSF5TYKcXVlySK2V7akJ25aj2VbTddPMYTt27e3+p/EbFJSEioL2VeNMSdOITWRefpS0XznEGNMSvblKOhycqGOTWRlTJH7ekHm5sLK2GLnkWycumRucWvZQMWSN0ivm3atv4+UJXSUBI0BWCvIur/9vWWIup1nJganT/RFWE0FlqxJw+YDtoWpJdV9PVnm7K0k85jBW8l32XftQGsRV8PP+HBBsYKmaAvH1lDYOD7KS3IaZUgaipI0BPwKpxNSrEVGQqErl+rcStQ6VKc80Hh21DYfdzpXi/vCOA0kpVkLF2EexQvGpRTPF5IBKKnDlPq1JDgfrUV5wmYpPs1m+wrj1SjJoKT2+XhYtq+wzl09sjUGZjGmhw1LyIpXoC1ZXJOl7ZiFEGvb1JUlb1ieG4G+csQmlGwVi72Tj5Dq1g8nVO/aTeP5R/F+ZL0mC6Bpuygr1tSdXfK+NRdXdvdtYXygj5sY8SnWx4Nlf9evSftWV759m27ct5YxosK0EN9qinBsUZnY5OKV+noYd2TiXUpmoeFgZIhJNFr7BKgXaH+TtdcRSIiJxBKkJRljqAXSkowJGd4BxphrW/edbX9/jhO7fkP9VgMwYMKXZuP7CVw4uh7rF78F74DaGPXiAjYe4MNE/AjG61UED1zyklUuPT2dxb0999xzLGEiIyOj6OAhN+i5c+fM6lDcmjC0S2luIXL9Xr9+ncUJUlIExQgSJPhIdFGMHlkChc+ePXuY27c0wVaRWG7fyZMnmcWSrHcVASVx0DpMrY0pKSmIiYlh/WvZj97e3kyM375926xvLly4wMSyo5Blz96nosiNuoXcG7cROKyP1dh/JAzVMUYLaMr2A/Dr3xVik+FOAob1gV6rRcquwzaXTePsUeat6YeyfMkiQQJQwNVZjIjaCrMMYEvovyA/GUsYEaDfwf6yonp02L0xwReh1RWY/XuKw8KPUMikaB5aAztPXzYT/DtOXYaLSoGGtapZ1WkRWgMqhQybjl2wGvtPKhajcR3rOuWF8keuxBSgRYT5k3/LCCWzCt6IsxbOSXd1SErTomV9pVUdSpShG2dFQNqXMltpbDdTGtcxZkveStLbFBWpGXo0CTF/eGscImWB95REIaBSGG/UZRnaxbJ95LKzXBdNU/tiCt16pqRkGLM8m4Za1AmVMMFDgxbnFwA34vTMKmlq8KgbLGGWKMux4Uy5m6HF9RiN2efUxWw4qSRMAAq4uUjQoK4Ti88rCcoOpoSQ6oHF4oB+1whSFGUOHz9vFJqdW5mP+9mmsSuib2tKtLpT30Un6Nk4fWXat5l6ZtEzhY6PkvbtzcTyxZxS+67H6tA01PxBi4QbWehsLZeOe/o0DbOsI2WJI3czDWy5I7ur2HAxZtsQIoVcJsK12449OJGlrkbdlixmz/S6cuXkFmYVDKrd2Ga9Pav/x4Rf654TMWjyLJvC7/q5PVj363QEhzTDuDf+fOjCryrzwC1/lGRAcX+UJEFJHTdu3MCXXxrHaiOxQha74cOHM/cjJWqQYKF4NIrlE9yqZIUioUJxaZZQrB+5Vb/55hv07NkTLi5GEzXFCz7++ONsuTSP3MFHjhzB119/zVzED5Ljx4+zGLxBgwax35RwQla3imL06NFMXL/xxhssjo/6lRJqKOZQiOmjfiTRHR0dzYQnxRtSQkxQUBBLUqH4S4pLJFfuvVhFKwJy3brUD2Wij7J1iWufz0OThTNQcDcdd9bthP+gHgga2R8nxxgtvUTUrAXsLSCt1i9A9He/wjmsFhsf8PaC5Q6P8SeM6XchSoMXRnszdywN80KuYXJP0TAtpsKOsvhuxhtFzaEzORjc3Y0N9PzXJqMb9/F+HriVkM9cyUTvdq6IqKNky7mboUOoxfAn12/Zj9GZ0q8jnvn+d7yxYCWGtGuCMzdisWTbIbw0pDvL2KWkjxsJyQj29YSXqzOclHI8N6ALvvl3O9yclOzNHlTn160HMaZ7a1amIlm3NxtvPOmJ50e4Y+8pNepWl6FfByes2J7NhAi5uqr5GrOp6Q0WxNo9OXhqiDuy1XqcvpKHZuEK9saP+StKd4WXBXrzxTODlHiytwJHL2tZjF7XZjJsPGQcBoVcrpRBS4Ivp1DjbztegMd7KNibEi5EGwcCJrH121bzh4BA72JrW3mhdU0dosSEvkocuVSAWgESdGsuw/qD+UXtozd/pJi0b+vRfIzppUSOGszqSIM8N6srw5LNxe1bfyiPJXfQttMbLFxVIjZ4NIkOy6FOSuPCNTXOXsnBa5OrYfG/ScjM0WHMAB/kqHXYuCfNTNjRuXGj0OK973gmRvbzxkcv1sCSVUavwvihfoiO1WDfCWOi0/mruThyJgtPjfCHUi5GTHweurd1R0SICp/9YByhoCS2nyjA0wMVGNdbzt68QVm5XZpKsfFwKfu2u4IJsAs3dWhQtG/NLZiBXiVbXx1lyxENXnjMGZMGOOHw+Xw2dE+PlnKs3adh7SMrXoA3vd1Gz95OQmw6rGGDOtOg8jTcED10tAiXY9F647WExN/WY3kY0F7JzqUL0QUI8pGgfzslzlwvwNXbju/b9v2n4s/vJmL1zy+jcYfhiI06hcPbFqLb0Ncgk6uQp85GSsJ1ZiWk8fvu3L6EQ1t+QWCtRmysvvjoM2bL8wkMhUQqw6bf3mWJI+37Pcvqm+LqGQA3zwA8aESPYLLGIyn+KCOXLEr0dgpKKCCxRlY9sgyRtYqEC2W/kjiiODjKaCXhRyKGILfutm3bMGDAAJbxagtK8Dh8+DD7NoUEFgkgEoAkIMmdSckmJDgfJCSoKMmDxB9tH7WLtruiIDG3bNkyJmyFrF+Ko6RpNzfjU3Tv3r2xfPly1gYqS9m/FNf322+/sX3j4+ODkSNHsv552Lg1a4B2O37DmclvIXbpKjaPvsUKOeq8MgnBE4YzSyCNEZiwYlNRvZwrN3Ck3yT2erfmf3/PhGP07MW4+tH3ZW7Dt0uTMXaAJ8b092TusSsxecxSZ/p2j0lDveDrKcVLM+KLLsZf/JKE8YM88dRwL/ZWArL40evdBHcRvc2D6NnWlX0sGT3d/thXNEDzN08/xgZ7fuWnFfBzd8Urw3qy17sRl24nYMq3y/DxkwOLXs02rmdbuDop8dv2I1h18DR83V0wdUAXTOxt7fK/Vy5FF2Du3xkY2s0ZLz3ugbQsHZZvzcbmQ8YbVq1AKd6a4IUFqzOKXs1G3zRUR9/2TujcTMUsGz+vzMDRC2UPrrfH9Tg9lmzOQ5/Wckzsp0BGtoEJK2E8PoqRem6ICn/tyMOxwte30TdFXFCmZ+t6UmYx+mO78Q0QppCgKutbFSy5FqvDrxs1bLBnGoolPdvAhhXZXfj2EUomIRH3xzYNE68EfUslGnRrLkeb+sb2Ldta/HYPggYjnrtSzd5mMrGfEvlaMDGxdn9emYYsEaCEDBJo9DYOkRi4dF2Nmb/Emb3dg97KQYM2P/WuMdxCqzXg/e9uYcoofzw/lt7YQdbAbCxYnmTmSp35cxxGD/Bhgz27u0rYWIBf/hiLY2ezS923S7fko3crGSb0VSAjx4ANhwrM9u3UwUqW6Sy8vo2+pZJ8dGkiRat6UmZN+2NHHs5YjJvo6lQYf3oP+5aE2IJ1uYhsp8SUQU7s2Fu9V4Odha93o3378kgX/LY5t+j1bfQtlaiZSGzXUM5E/5JNuTh5tdiCvuVwHrJzDejcVI6OTeTs+kRJHhsPlS3pqFa9dhj2zBzsW/c9/v3hebh6+KP78Olo02sS+z/x1gX88b8nETn+SzRuPwxXTm1lfv+Em+ewdOYoq+WNeXUpSyTJzkhm03/NNi7HlI4DXkCngS/iQSOuom5fkaEyjfZbBagMr4d7mGyQmQ9IXJmILLhSqth6WPz5VQ2od/6Gyoqq+zhM+Mjx4XoeNIs/8sdr80t2Qz5MvnnOGdPmODZ8xsPguxddMPCZ4tjaysa6nyLw+g+OvQf7YTBrqhNe+F/5Xo94v5n7qjsW70alZYJxYI77yvEuxjeR3Cst9xzCo0TVTHPhcDgcDofDqaI8cu/2vV+Qi5liC+3xzjvvFCWe/FfbwOFwOBxOVUFURccX5OKvEIpvozg4e1BW7L1CMXUPuw0cDofD4XDAEz6qOjTMSkUNtfIot4HD4XA4HM5/Gy7+OBwOh8PhVEnEVTTbl4s/DofD4XA4VRJRFXX7Vs1IRw6Hw+FwOJwqCrf8cTgcDofDqZKIeLYvh8PhcDgcTtVBxN2+HA6Hw+FwOJz/Otzyx+FwOBwOp0oi5tm+HA6Hw+FwOFUHURV1+3Lxx+FwOBwOp0oiqqIJHyKDwWB42I3gcDgcDofDedBcGt6rQpYT8e82PEpwyx/ngTJ6+i1UVv78qgY2yMJRGYksuIJJHyehsrLoQz/M3Vh5nyNf6C/C+A8SURlZ8kkAOg7cg8rK/nVdsO1MHiorvZooMOS5q6isrJ4fhpdnZ6EyMvtlV7yzsPLu2y8mK+77OkTc7cvhcDgcDodTdRBVUfFXNZ3dHA6Hw+FwOFUUbvnjcDgcDodTJRFVUcsfF38cDofD4XCqJKIqmu1bNbeaw+FwOBwOp4rCLX8cDofD4XCqJGL+hg8Oh8PhcDicqoOoisb8cbcvh8PhcDgcThWCW/44HA6Hw+FUSURVNOGDiz9OpUAhF2FMfw+0buQEpVyES9F5+G1dGhKStXbrubuIMXagJ5qEKSERi3D6iprVS8/Sm5UZ2ccDjcKUcHUSIz5Zi3V7MnH4TG6Z2qis5o/Op9fj+PDncXfvUbtlg0ZFIvTtqXCqUx3qm3G4/vXPiPtttXnbWzRExMzp7FubmYPYpStx9ZO5MBQUlKldDerIMay7M4L8pMjM1mPnsVxsOaS2W6dNQwUGdHKGr6cEKek6bDyQi4NnNLa3Wy7Cx896Ye2eHBwooYw9bl3ej0Mbv8PdxOtwcvVGo45j0KzrJIhEpbtbkmMvYvm3IzHu3c1w8wo2+y/q3HYc2zof6Uk34eTmg/AWg9Cy59OQSOUOt61hiBzDe7qimq8UmTk67Diai00H7B8XbRspMagL9Z2U9d36fdk4cNq8X2oFSfF4HzfUDpJCnWfA/tNqrNqVDZ0OZUalFGPqhDro0t4XKqUEZy6k4/sFUbgdZ38fm/LpW/Wh1ujwxXdXzOb7esvx/MQQtGjqAblMjBNn0jH/1xuITXBs2ZfOHMS6v+Yg4XYU3Ny90KnP4+gxcHyJ+7YgPw+b/vkRx/ZvRHZmGqrVDEP/EVNRv2kHm+XTUhPxxWvDMeWN7xDWoBXKilIhwpNDfNGuqQuUCjEuXldj4T9JiE+yf465u0owabgvmtV3hkQCnDifg1//TUZaZvEO7NneDS+MDbCqu2F3On5ZXvrbeMJrSDCgvQIBXmJk5Rqw72w+dp20367mYVL0bi2Ht7sYdzP12H48H8cumV8j/TzFGNRRgbrVJNAZgKhYLVbvy0NqZtnewBNaTYTeLaTw8xQhWw0cvqjD/vP2D+DGdcTo1lQCL1cR0rIN2HNGh1PX9ebbUFeMTo2MZbJygZPXdNh9Rgf9Q3pBkIi7fR9N5syZg+7du/9n13e/2kCvdF61ahVSU1MdrkPrpHXfD14c4402jZ3w58Z0zP87FV5uErz/jB+cVSWfmPTA9uZkP4RWl2PhyrtYuOouwmoq8PZTfpAUHtlSCfDWU35oVFeJf7Zm4H9LU3AjNg8vP+GDjs2dHG6fMjgArTcugszDrdSyAUN7o+nSWUjefoAJxdS9R9F00UwEjuxfVEZVOxhtNv8KnToPJ0dPw41vF6H2tIlo8N17KAt1qknx8hh3JKToMO/vDBw+p8GIXi7o36HkbWsRocCUYW64cCMfc/7OwJWYfDw1xA2tG1i/SslJKWLLJ5FYHhJvnsa6BVPh6VcH/SfOQViLgTiwbhZO7Pil1LqpCVex7pdnoNdbPwDcunIAG399ER6+tdB/0hw07vgETuz8BfvXzHS4bSHBMrzyhCd7wJjzVxoOndVgZC9XRHZyLrFOy/oKPDPcHeev52P2n2m4HJ2Pp4d5oE1DZVEZ6qvp471QoDVg3vJ0bD6Ygz7tnDG2f+nHji0+fD0C3Tr44sclN/DZt5fh663AnM+bwNW59Gd30mAvPRXC6ltCYui7z5ogtI4zvpl/DZ/MugwfbznmzmgCV5fSlx199Qx+nPEC/INqY8rr/0PLTpFY8/u32LZmUYl1/vjxI+zd8jd6DZ6IZ6Z/D9+AGmwZ1y+dsCqblpKIeZ89C3Vu+V+N9urEQLRv7oLf1qRg9tJEeHlI8dm06nBWie1eVz54vhrCainx45938NOfSYgIUeGjF4OLritE7WAlYhPzMf2rW2afNdvvltqumgFiPD1IhTt39Vi4QY3jVwqYYOvZsuQHlyahUozrq8SVWzosXKfG9VgdxvZWoVlY8b7ycBFh2ggnuChFWLJZjeU7NPD3lmDqUCfIynAKV/cV4cleMiRnGPD79gKcidKhb2sJOjcueSENaokxsqsU1+L0WLa9ANEJBozoImOCUKB9Awke6yxDUroBv+/QYscpLVqESfB4t4dnhxKJRRXyedR45C1/kyZNwhNPPPGfXd/94tixY3jrrbewY8eOh90U1K0hR4v6TpixMAlnrhgtKJej8/D9W0Ho1c4Vq3dm2qzXtrETaleT4/VZ8YhLMgqEmPh8fPVqINo2ccKBU7loFqFCrSA53v0+ETdi81mZc9c08PGQYlBXN+w/WYr1TyRC8LghiJj5JuDg+R3+6atI+GczLr3+JZtO2bYfMk93hH/0MhKWb2TzQt6YAm1WDo4Pe45Z+pI374VOrUHD2e/j+owfobmd4NC6hnR1xq0ELRasNvbR+ah8ZqmI7OSEbUdyUWDDcDq8uzOOX8jDX1uy2fSFqHw4K8UY2s0ZRy8Uv+ezaZgcY/q5MstfeTmyeQ58q0Wg99iv2HTNiE7Q67Q4vv0nNO38JKTyYtEkoNPm48y+ZayutAQr3qWjK+HqEYjeY7+GWCxBjfAOyM1Kwandi9FxyFuQSGSltm1odxfEJBbg55UZbPrc9Xx2cx/YyRlbD+XY7LvHerri2AUN/thsFCQkAukBZVgPFxw5bzx2Izs6Q5NvwHd/pDFL39lr+cgvMGBcpBvW7c3G3QxzS4g9GoS7oWMbH7z+0TkcPmEUFWcvZGD5gjYYGhmEpctLfld2SC1nTHsmFBF1XaHJs7bYdO3gi5rBThj3/DFE3zKeB1Ex2fhnYVt07+iLNZvtH4MbVvyA4Nr1MP7FL9h0/aYdodNqsXXVAnTt/wTkFvs2NSkOx/ZvwIhJ76Bzn8fZvLCGrXHjyins2/I3QiNasHl6vR5H967Dqt++YQ+p5SW8thKtG7vgk7mxOHnRuH1k+fvpk9ro18UD/2y2LdI6NHdFSA0lXvjkJhN3BD0wfv9eTXRo4Yq9x4z7vnawAtdjNLh6s+zW8H5tFYhN1mPZ1sLrXYyOHXu9Wsqx51Q+CmwY2CLbK3D6mhar9hrP0cu3dOzhLLKdAqeuGg/Wfm3lUOcbMG9V8bmfmqnHlIEqVPeX4Ea8Y6bnHs2lSEg1YMUe40KuxemYKO7aRIKDF3TQ2lhM7xYSnI/WY+MR45/X4rRQKYCezSU4e0PPHkS6N5UwcfjnzuKTKz61AC8PkyM0SIfr8ZX3/eD/NR55y5+zszO8vLz+s+u7X9zLRbWiaRyugiZPj7NXiy+iWTl6XLqRh6b1VCXXC1MiLqmgSPgR9JtcOkI9tUaP7YezioSfQHxyAfy9S3/2cWscjobzPkbsstU4PWF6qeVVNavBJbw2EtdsM5ufsHILnOvWglNoTTbt26sjkjbtMXPxJv67GSKJBL69O8IRyKoZXkuOk5fNX8x+/GIeVAox6tawFkDkLgrwkVrXuZTH+sPPy/hkr1KI8MIod1y5mY//LUtHeSARF3v9KOo06mk2P7RJHxTk5SA+2traQ9y8tBdHt8xDy57PoP3A122W0RbkQyZ3YsJPQOnsAb2uAAWaHIf6rl4tOU5cMu8HEnbkZg2raS06fTwkCPSRWte5qEGAtxT+hX3XMFSBM1fzzFy8tFyxWIRGoWV7UX2b5p7IVetw9FSxUEnPLMDp8+lo28L+dei9V+qxUIhnXj+FtHRrd+K+wyl49o1TRcKPIGslQS5gexQU5OP6hWNo0rqH2fxmbXtBo85B1OVTVnXcPH3xxpd/onXnyKJ5YrEYYomULU8g/tZV/PXLp2jdeSDGv2AUluWBXLZ0/p++VLx9mdk6XLieixYNSrbuNotwYqJPEH6EMG1ar1Y1OaJjzY8FR6CHM3LJnosyf7o4c13L3NR1qllb18hF6u8pxlnLOte08PUQw9fD+IDWOFSGIxcKzB5cbifp8cHCHIeFH4nQOoEiXIgxf0ghYUcPgrX8rR8GPVzA2nHRRh0fdzG83URwURk9CZdvmZe5k2ZAjtqA8OrihxbzJ6qAz6PGPbc4PDwcv//+O0aOHIlGjRph4MCBZtYkeor76aef0KdPHzRs2BDNmzfHU089hVu3ip9Y9+zZg2HDhqFJkyZo164ds0hlZBifxomFCxeiZ8+erD65HufNm1ckXkxdoOPGjcO0adOsLFzUxpiYGDa9a9cutq7GjRujV69e+O6775Cfby4M7GG6vtjYWLbsDRs2YMiQIWz7adlRUVGsje3bt0fr1q3x8ccfm7V39OjR7P82bdqgZcuWePvtt5GdbbTClIWff/4ZnTt3ZttC237z5s2i/9LT09l6u3Tpwv5//PHHceTIEfYffT/55JPsd48ePbBy5Ur2++TJk8yqSeW7du3K6penXWWlmp8USXe1sNSjialaBPmWLNCq+cmQmGJ9UzOtd/56HhauTLO6uDWrp0LsndJj69S3ErC7Xi9cemMGdLmlP+G71Ath3znXivcFkRtlPP5cwmpDrFTAqVYwcq5Fm5XJT0lDQUYWK+MI5F6USUVITDW/qCfdNU6TILFE6JeS6gR6G288ZKl6b/5dLFyThaxcxy1VpmSk3mZizMOvltl8d58a7DstyXz7BfyrN8KE93egVa9nzcSdKY07jkF6SgxO7lqIPHUmcy+f3rMUNSO6MBHocN+lmN9M7xT1g62+kxQdX2Z1CvuSRLVMaly2ZRmK6crV6Jl4LAs1qzshPlENvcUuiEtQo0aw/bCFT/93Gc+9eRpRN22L4ZxcHc5fNlqMpVIRsxS+N60e0jLysXN/st1lp96JhVZbAL9A48OMALlxiaR48+OfkMnkqBnSAConV3ZfILfuP4tnIiXxNjr2GlFUztMnEB9+vx7Dx78BmcLaMuwowQFy3EktsIolS0guQDV/ud168UnW9wTTegG+MjipJAitqcC8D2vhnzl12XfXNq6ltsvHTcz6OynNfKcmpxun/Tysb8v+XsZ5yZZ1Cq3IFOfn5SaCk0KEu1l6PNZVgS+eccGs513w1AAl3F0ct96T0JRKREjNMO84IWbQx916WUKbUyzrZBXX0eQBOr2BCUVTlHIKQTCu92EgqqJu3wqRq7NmzcLgwYOxZs0aJjZeeOEFJiSIpUuXMvFGgm7Lli1M9JBImTFjBvv/7t27rPzw4cOxceNGzJ07lwm2r74yuol27tzJxCMJka1bt+L111/HDz/8gLVr11q1g4QXiTtTwULlSHDWrFkTe/fuZeKQhOr69evx4YcfYtOmTXjjjTfuafu//fZbvPPOO1ixYgUyMzOZuKNt/O233/DKK6/gjz/+YO0SOHfuHPbv349Fixax/qDttRStpREXF8f6mATgsmXLkJycjHfffZf9p9PpmHv6+PHj+Prrr5m4CwsLw+TJk3H27Fk0a9asKHaP2ty/f39cvnwZEydORKdOnVif0T69cOECW879thI6KcXsxmgJWQPJglUSZKFRa6zbpskz2K03JtIDgb6yEt3JphSkZUATdweOInU3Xtm0meaimVy87H83F8jcXW2WEcpRGUcg65zQT5bbb/q/7Trm/SZMk+WB0OmtBWJZyVcb3WNyhfn2yBVG60m+xvaDhYuHf6kCLrhuWzTvPhkH1n6Nn99pjRWzH4eTizf6jJvl8DFHUDKGKeSuJZRKW31nvw71rbBcTYnHZdluEi5OUmb5s4TmOavsB3HdiCndAiow8/2GWDKnJZo39mAJH6lp9h+IhTg8pcp83ypURkGqybX/0Ehxge8/1xu7N/6Odt2Hol7jtkX/Obu4w9PbOpGiXNcVtfV1hayBdO0osZ5KYvN6pM4rrkcuX8LfW8YSQT6bH8dcwNPGB6JXB3e77SKhY3rcCOQVdrlwDprXEZVQp/B4lZNlzVhmUAcFE3tLNqnx13YNgv0keHG4E+QOPneQGGPrKjBfV35BcXJeiXVKap8MzJVN7t929SVoUVfM6pAofLybjD3cyGWPnoB6lKmQmD8SXUIcHImzo0ePMkFCoqtGjRqYOXMmunXrxv6vVq0a+vbti82bN7PpO3fuMMtbUFAQ+48+P/74IxMwBFkI5XI5m09l6OPn58e+LSHr4ieffILt27czSxwtlwSnIO5ouST8yApGUNtIVI4fP55Z8YKDzbMJHYUEEln4CLImkuijdqhUKoSEhDChde3atSKLIWXCkcXR39+fTX/wwQeYMmUKbty4gTp16ji0TplMxgSai4vx4kvbRCKUIGFJwm3dunVM9BG0nSQ6SYjPnj0b7u7GCxS5sJVKJZvfoUMHPPvss2x+rVq18M033zCLK+1PslJWBBT3YZkIaC/p014GmLgc9SijuH8nN6zbnYlj5x3PlnSU0sz/BrrKlVrGMbFdWrKsLc1enjrlxWCwbzEUicr/7Ll7xUe4eHQlWvWaiuCwtsi6G4cjm+di7U9PYchziyGTq0pZ9/3pu9LK2Nu1VNfymLbXRRWZHbnk7xj88e9t9O7qh3en1WMu6g3bEkssX9oDYWnnQaMWXRAS3pS5hzf9+xPLAhZiByvqumKvCfbab28fCtUuXlMzwXfuam6RwCH3MmUJjx7gjW0HMsq1fNN1mFKaYYmOBbLWCVbmRes1MJhYB18d5YwW9WQ4dL50b0e5zo1SlilUWXNAC51OiqGdpBjeWYR8rQF7z+igkInZ74eB6BF02VYa8WcpDMiydODAAfabBM+ZM2eY4IiOjmaf69evFwmfiIgIDBgwgIkOX19fJkDI5Ugiihg0aBD+/fdfJuxCQ0OZK5V+2xJ/Tk5OTFiS6CHxR+5kEoD9+vVj/1+8eJFZvv755x+riwC5assr/siqaNoGHx8fJvwESFyZupZJWAnbT5BIJq5eveqw+PP29i4SfoSbmxs0Gk3RclxdXYuEnyA4ycVMwtAW1DfkGqd9Zwn1jSPij1zI9qBwgGE93fFYL/Mn48Nnc+HuIrFpaaGn9JKgp3NbT8kqpciqHsV4TR3ljfZNnZnw+2Nj+eLYSkObYbSISF3NY4oEa542I7vI4mdZRignLKM0BAuUZR8I1qVcCwuVvTrCtKVV616QK40WTorvM0Ww+ClUpbvIbJGdfgfnDy9nMYFt+79cNN+/RmP8PnMALh75F006jbW7DMFibGmJE6ZtHXdFfScvoU6evsT+FcrZO54nPl4Tk8aYu8h37U+Gl4e1i9LJSYKcHPvDIJWFsxeNVvATZ9MR4KfE+JE17Io/lZPxeM6ziK+keD/T/0siqEZd9h1avyX0eh02LJ+PgaNfhJdPYLnaP6q/Nx6P9Dabd+BkFtxdpQ5bBE2vK7Y8B8Z6RqNERrYOx89bW1ZpSJimEc7wcJMg3WRYGFPI/WnrOBKsZ7bOQWGe0epW/L+wDLIqC1a3SzFakxJATKKeXQuCfR0TOZrCW5WCWeKKl6QoDCEWxK5ZHTOroI32FS4zXwus3K/F+sPGzOT0bAOb1zJcUuahaCoMUdW0OFaI+JNKzRdDVjsK5CXILUmuzaFDh7J4vgkTJjARQHFyAmRhev7555lb9uDBg8xS16JFCyxZsoRZpsidfOrUKSYoSbyQK/nFF19k7mJbVkiy5KWkpDARSJYrQSRRnAnFG1JbLCHhWVHbL2y7PaudKYKVU0KRwA5ir2xJT7U037KtAtQ3FK8pWP5MqcgEl51HsnHqkrnFrWUDFUveoHPQtOn+PlKW0FESNERHrSDrpAZyxUTdzjMTg9Mn+rJhYJasScPmA+UfOqI0sq8a49icQmoi8/SlovnOIcYHhOzLUdDl5EIdm8jKmCL39YLMzYWVcQSK06MYGj8v2qfFDxdC0oatMRITU3RFZW4lFv8vJCvQGIgVBcX2icQSZKSYZ6SmF057+jv2oGNJVno8O1ACaxsfmgS8AkKZu5jGEyyNpDSyQFDfmZ9H/qwvqR+sb9wJhfGBNHSGed8V16Eb490MndVyXZ3FzGVoa7kCa7Yk4MAx86GXOrf1QevmnlbnRnCgCjGxZRun0pJ6dV0R5K+0iu+7eiMbDSPsuy59/KuzeMzkRPN9K0z7V7Pet3eT43H53GG06hgJmbw48SW4dgT7zribVG7xt2V/Oo6dM3c1t2niwpI3LPsu0FdulsxhSdydfNQpdOuaQqEi1woze+uHqODvI8OuI+ahI3K5iB1X2Tkl7+eUDD07by1j53wK4+Zo+BdLhPhAX3cx4pL1NutkawzQ0zXexrtqaZat7HVb3M0ysPZRkoYpwjQN02KJEK/o7SpiWcLWdYz/U1IHCdlbSYai5TgrATdnyvqtPEmIVYEKsXeSO9EUEmoNGjQocrWSsPvoo48watQoNG3alMXDCQKFrIJffPEFs3iRMCSxSNOHDx9mY9BR/Nmff/7JxOBLL72E5cuXY8SIESw+0BZk3SIXMQnG3bt3MzEoULduXWZ5JEud8ElMTGTxhTk5jsfH3CvUhqysLLP+IurXr18hy6ckFFo+WQAFqL9PnDjBrKeE5SCs1DdkkTXtG61Wiy+//BIJCY4NO0Ki3t6HoEFSKfPW9ENZvvRUTQLQ9GYZUVthlgFsCf0X5CdjCSMC9DvYX1ZUj3T4GxN8EVpdgdm/p9xX4UfkRt1C7o3bCBzWx2rsPxKG6pg4Np2y/QD8+neFWF4sXgOG9YFeq0XKrsMOrYuGW7gaU4Dm9cxvVC3qK5j1IjrOWjgnpemQnKZDywiLOhEKlqSQWoZhSEpDKlOgWp2WiDq71eyBhKbJKkiWuvLg4VOTicr4G8fN5qcl3YAmJx3u3tVLXQbdCGl8w5b1lVbj+OWo9bgRl29TbFNiUisbdShxhAZ8Js5H5aFpuJJZmwVa1VcwUXAxuuTs0NS7+bhyPdvsc/RUGpydpGjTvPgBzMNNhiYNPNh/9wJlC3/wWj34+RQfC3S+UNxf1E37MXsk3kIjmuP0kR1m+/b04e0soaNWaEOb4o/G+Ttz1Hx4qctnDkEqlbHxAstLWoYOUbfyzD7khqX4PRKAAm4uEtQPVZllAFty+lIOS/qgjwD9rh6oKKrXMEyFl8cHsOuPAF1S2zdzxeUbaptDoQjQf1FxOpaZazmOH1noYu5YV6ZEChKNTepKreqQMCTBRjF5bLkhUpZRLBBWXcIsco5m+1L7biYa2Lh9pjSobRRuscnWIu1uFnA304CGtS3q1BKzdqcXHk5t6onRv435NnRoIGHinIaueRiIqmjCR4VY/shCR+KNsnFJnF25cgWff/45+y8wMJBZ7Mj9SxYxEmWUuEGuUYKscpQQQdYwisfLy8tjwo5co56enmyaYgZpiBUSdiTWKEGCftuCRA25fMnaSBartm2LA4kpro4SKyipJDIyki2LkiTI3Xsvlr+ykpubi+nTp7NkELJQUnwgJV2QaK0IOnbsyNzpr732Gt5//33mIqYYTBKDlOQiuKcJSvSgfhbGL6TYwLFjx7LEFfpNrmTaF/cTGtPvQpQGL4z2Zu5YGuaFXMN0E6ZhWkyFHWVo3ow3ippDZ3IwuLsbG+j5r01GN+7j/TxwKyGfuZKJ3u1cEVFHyZZDFpnQGuYutOu3HM/0tgW5bl3qhzLRR9m6xLXP56HJwhkouJuOO+t2wn9QDwSN7I+TY4qTeqJmLWBvAWm1fgGiv/sVzmG12PiAtxcsd3iMP2Ld3hy8/qQHpj7mhv2nNQitLkPf9k74Z3sOc6eQ24WyVEnwUSwQQW/qmDzEDdlqPU5fyUezenK0bqjED/+UHKdUXlr2norVP0zE5iXTENFmOBKjT7EM3faRr7G4PHIBk6WOrIQqF8cszFSOxgg8tdM4mHCNsPbISotnw8O4egahQbvizFF7UD9MH++J50d6YN+pXDZYeL8OzlixPZvdSMl1S2/+IMEn9N2a3TmYMswd2WoDTl3WoHk9Jdo0UrHBnAU27s9B20YqvDbOE5sP5iLAR4LHerhi9wl1mcb4I85cyMDJs+lMpM1ffAOZmQXMNZydo8XqjfFF5WpVd4JMJsa1G45n56/ZHI8hfQPx1QcNsejPGGi1egztH4SQms545QPzB3pb9Bn+NOZ++jQWffs62nYbgugrZ7Bj3WIMGvMy5AoV1LnZSIyNgk9Adbi6eaFOveYIb9QWK36dwdzDZD08f3IP9m75C5Ejn4OTS/kGwS4JGtOPYvJemRiIJauS2XWFXMM5ah027U03E3Z0XRGGbdl/IhuP9SlgAz3T4NDEuME+uBmXh/0njdejLfsz0LezB96dWg1/rE9BXp4B/Tp7oEagHO98G1tq27Yezcdzw1SY0F/JhmapHShB9xZyrDuQzx5MFHKwN3+Q6KNhUNg6j+Thid4q5GoMOHdDi0Z1pGgeJsPijcWelPUH8lhyx7ODVdh5Ih+uTiI2ePTNBB2r4yi7TmsxqZ8Mo7tLceKqHjX8ROytHFuO6VjiBrmA/Twos9iAnMLn852ntWwA59w8cj3rUL+mBI3rSPDnzuKH0IMXdZjUV47+bSRsyJeQIDG6NpVizxktE5APAxGP+Ss/lGywePFiJi7q1avHkgfomyCrGokbyuYlAUfDuZCoIEtgfHx8UUIECTISgSQQSbD98ssv7DdZ+WjYkvnz5zMLFCUqUMwfJZaUBLl1aXk0/ImpC5biASkpgrKHySLp4eHBRKm9Zd0PSBCTOCOxRe5bcrdWZBtomZRJTKKZXOMUb0jCnPYRWV4JigekzGwSw6+++ioTfwsWLGCxmdR/JA7JTf/mm2+yhJv7zbdLkzF2gCfG9Pdkwc1XYvKYpU648BGThnqxV2q9NCO+6An1i1+SMH6QJ54a7sUsK2Txo9e7CUNjtG5kjL3s2daVfSwZPb3kQXIdwa1ZA7Tb8RvOTH4LsUtXsXn0LVbIUeeVSQieMJxZAmmMwIQVm4rq5Vy5gSP9JrHXuzX/+3smHKNnL8bVj74v0/ov3yzA/OUZGNzVhY3LR6+1W7Etu+j1bjUDpXhzgicWrs4sejUbfZP3v287J3RqpmLC8JdVmThmMsBzRVG9blv0n/A9G7B5w8Ln4eLujw4D30DzbpPY/0mxF7Bq3nj0HP0FIloXW+lLo8Og6XDxCMC5g3/h1K5f4ezmywZ6bhf5ChQqx0TEpeh8zP07HUO7ueCl0Z7MKv331iwm2IhagTK8PckLv6zMYK9nI+ib+o5EotB3P/2bjqOFAzwT9LaVr5fexajernhhlAeyc/Vs0OiVO8s3bNK7X1zAC0+F4PmJddjD7blLGXh/5kVkmcT8vTa1LovVG/GUcTgnR6Cx/2goGHp13BvP1YVKJcHFK1l46d0zRTGA9ghv2AZPvfY/Fq/3y9fT4O7lhyFjX2WvdyNuR1/C9x9PxtjnPkXbroPZtXjK699i44ofsG31QmSkJcM3sAZGP/MB2nd3fN+XhRk/xWPSY76YMMyXWeYuR2nw9YIk9mAp8OzjfvDzluHp940hG1qtAR/NicXkEb54bow/tDoDswYu+ie56LqSkaXDO/+7zUThlBF+zKV/LUaDD76PLXIN2+NarA6/btCwQZmfGqBCeo4Ba/flYdcpo1Cq7ivBi4854fetahwtfH0bfUslGiYS29SXMSv9b1vUOHWt+Di4majHnJW5GNBOgUmRKpZEQeMJrtmXV6ZkrhsJBvyxQ4sezSUY25NefQhsPlr8ercgbxGmRMrxz94CnLxm7BT6looL0LERZfPKkJZlwPI9BTgXXdzX1+MM+GtXAXsFXOt6Ehbzt+5QAQ5drDiPA8cxRIZ7HMeDXIzkGjR1r3JKhoQuvVaNhrCpityr2Lqf/PlVDWyQhaMyEllwBZM+Lv19oQ+LRR/6Ye7Gyhuz80J/EcZ/UHICw8NkyScB6DhwDyor+9d1wbYzFf9gUFH0aqLAkOeKQ1wqG6vnh+Hl2Q/JrFUKs192xTsLK+++/WJy2QZFLw8Jr42pkOUEfvMHHiWqpr2Tw+FwOBxOlUdUCd7wQQmX33//PRtnl7xzFKJ2+/btEstTPgSFdZGXlEbioBAyGjavSr3bt6KgpAtyfdqD3M3C4NT/1TZwOBwOh1NVEFWCZA0Ka6OwN7q3BwQEsJcz0MgkNGKJrbArCteihMxff/2VJVxRKB0l1poOY3ffxR8ld/wXoEzb1atX2y1DMYv3Cg1RQ5+H2QYOh8PhcDgPH4rJpxh9ivunMY4Jyk0gKyAlx9I4yKZQMia9eIHedEa5A8TTTz+N5557juVHUC6DI3DLXyEKhcJssOaq2gYOh8PhcKoKoods+aMRN2ioOUqwNH1pAxmDaGQTS/FHL40gIxAZioQ3i9EoKrVr12b1HIWLPw6Hw+FwOFUTccWkPjjyhitb0JBzwiggptBrbIX/TCE3MLmH6bWwNOQdjQBAZWk4t9JeMGEKT/jgcDgcDofDeQio1cZhpCxj+8gTSOMcW0IxfpcuXWKvYv3999/ZOMv0ulty+2ZnOz6cFLf8cTgcDofDqZKIKujdviVZ9kqD3LhC7J/wmyDhp1IZx6k1ZdOmTczKt2vXrqJX19K4xd26dWMJH/SmNEfglj8Oh8PhcDhVEtFDHupFcPcmJZmP40rT/v7+VuWPHz/O4vsE4UfQyy9oXkxMjMPr5eKPw+FwOBwO5yFAb0MjIXfkyBGzjN6LFy+iVatWVuVpKBgSeaYuYXplbGxsbJlexcrFH4fD4XA4nCqb7SuqgE95oVi/sWPHYtasWcx1TNm/NGgzibzevXtDp9MhOTkZGo3xtYFDhgwpGuuPytKHXtFKMYJledMaF38cDofD4XCqJmJxxXzugZdeegmPPfYY3nvvPYwePRoSiQQLFy6ETCZDQkICOnbsiI0bN7KylNlLA0JT4sf48eMxceJEVo7mubpav7++JHjCB4fD4XA4HM5DgsTeG2+8wT6WBAcHW71MIyQkhCV53Atc/HE4HA6Hw6mSiCrB690eBiID2Q45HA6Hw+Fwqhhpn0+tkOV4vvsDHiW45Y/zQFHv/A2VFVX3cZj0sXm6fWVh0Yd+2CALR2UlsuAKnp2ZhsrKj2964pkZd1EZ+ektL3ywJB+VlU/Gy/HE23GorPz+ZTX8sBmVlql9UamPvZdnZ6GyMvtlx2PYyo24alr+eMIHh8PhcDgcThWCW/44HA6Hw+FUSUQV9G7fRw0u/jgcDofD4VRJRNzty+FwOBwOh8P5r8MtfxwOh8PhcKomoqppA+Pij8PhcDgcTpVExN2+HA6Hw+FwOJz/Otzyx+FwOBwOp2oirpo2MC7+OBwOh8PhVElEoqrp9uXij/PQOXgxCnPX7saN+GR4uTljVJeWeLJnW7sn5d5z1/DThn24Hp8Ed2cVejSrh5cGd4NKIbcqm6PJw4jPfsYzkZ0xuF2TMrevQR05hnV3RpCfFJnZeuw8losth9R267RpqMCATs7w9ZQgJV2HjQdycfCMxmZZpVyEj5/1wto9OThQQhlHUFbzR+fT63F8+PO4u/eo3bJBoyIR+vZUONWpDvXNOFz/+mfE/bbarIx7i4aImDmdfWszcxC7dCWufjIXhoKCMrUropYUgzurEOQjQWaOHntO5WHb0Ty7dVpGyNC/vQo+7mKkZuqx5bAGh8+X/BaMEd1V6NFKWea3jFDbhnRxKmrb7pPUNvv7oFWEHP3bK+HjIUFqhh6bD6ut2taukRy9Wivh6yHB3Uxarga7TtjfZluEBInQs5kEvh4i5KiBo1d0OHBB71DdAC8RnomUYvbKAqTnmP8X5C1Cn5YS9p1XAJy+rseuMzroHFu0GQq5CKP7uqFVQxU7li/fzMey9RlISNHarefmIsbYSHc0DlNCIgZOX9Hg9w0ZSM+y3Yje7ZzRv5MLpn11x6F2xVzej4Prv0Vq4nU4uXqjSacn0LzbJIdu9kmxF/HXNyMw/r0tcPcONvvvwpGVOLlzEdJTYuDs7of6rYeida9nIZZI/1PHXngNCQa0VyDAS4ysXAP2nc3HrpP2z/3mYVL0bi2Ht7uYrXv78Xwcu2R+HPh5ijGoowJ1q0mgMwBRsVqs3peH1Ez+ptkHSaW2d6alpWHFihVF0+PGjcNbb72FykBsbCzCw8Nx5MgRNk3tovY5QlnK2mLOnDno3r077gV6pfOqVauQmprqcB1aJ627Ijl7IxYvzf8btf298c0zI9C/VUN8t2oHft16sMQ6e85exbQfliMkyAdznhuFSX3aY+2hM/h42Qarspk5arw47y/Ep2aUq311qknx8hh3JKToMO/vDBw+p8GIXi7o38GpxDotIhSYMswNF27kY87fGbgSk4+nhrihdQOFVVknpYgtn0TivaAMDkDrjYsg83ArtWzA0N5ounQWkrcfYEIxde9RNF00E4Ej+xeVUdUORpvNv0KnzsPJ0dNw49tFqD1tIhp8916Z2lU7SILnH3NBYqoOP67KxtGL+RjaVYU+baz7QqBZmAyTBjrjUnQBq3P1lhYTIp2ZILRFaLAU3VqWvDx7bXthhKuxbSuzcfRCPoZ1U6FPW2XJbQuXYdIgZ1y8qcUPK6ltBZg4wAUtI4ofOjo0VmBCpAvORxVg3j9ZOHw+DyN6OKFfu5KXa4tgHxGe6C5FcoYBf+3S4my0Hr1aSNCpYemXbT8PEcb2kEJiI5jd0wUY31sKrRZYvkeLgxd0aNdAjP6ty3cMPj/KE60bqfD35kz8sCINnm4SvDvFhx3b9jxt0yd4I6S6HItWpeHX1ekIqynHW5N8mBC0pG1jFZ6IdHe4TQk3T2PNz8/C078OBkyeg3otB2Lf2q9xfPsvpdZNib+KNT89Db3eWrye2r0E2/54G14BtNy5aNv3RSYGNy5+Bf+lY69mgBhPD1Lhzl09Fm5Q4/iVAibYera0frgWaBIqxbi+Sly5pcPCdWpcj9VhbG8VmoUVi2IPFxGmjXCCi1KEJZvVWL5DA39vCaYOdYLs3i6B5UcsrpjPI0altvx99dVXTGSNGDGCTZPwkEge1hFin3fffRc6nQ6PCseOHWMidMeOHQ+1HT+s34t61QPw+cQhbLpDgxBo9Xos3HwAY7q1hlJufcOf9c829GwegU+eHMSmW9erDZ3egD93HYU6vwCqwjq7z1zFzOVbkJtX/vemDunqjFsJWixYncmmz0flgw7ByE5O2HYkFwU2jBvDuzvj+IU8/LUlm01fiMqHs1KMod2ccfRC8RN40zA5xvRzZdaSciMSIXjcEETMfBNwcDHhn76KhH8249LrX7LplG37IfN0R/hHLyNh+UY2L+SNKdBm5eD4sOeYpS95817o1Bo0nP0+rs/4EZrbCQ6ta0BHFW7f0WHxhlw2fTFaywRJ33Yq7DyRZ7P/yEp48nIBVuxUF9VxVoowqKMKxy+ZWx4UMmB8fyekZxng5Va2fhzY0Ym17df1RrPYhegCtm/7UduOa2y2bUhnJ5y8nI8VO4TtKYCzSoRBnahtxuOsX3slTlzOx8rdxvZfjtHCz0uCbi2U2HTIcctu96YSJN41YOV+43XleryOvYa0UyMJDl3SQ2vjckPCqU09Matr63+iY0MJ8guAP3ZpmaXvWpwBBTogsrUEe8/pkGFhJbRHaA05WtRX4atfU3DmqvHYvnIzH9+94Y9ebZ2xZrfxHLCkTSMValeTY/q3dxCXZOzomIQCzHjZD20aq3DwtLHv3JzFeKyXG3q0cUZWruNmyUOb5sA3OAJ9x33NpmtFdIZOp8WxbT+iWZcnIZVbiyGdNh+n9y7DoU3fQyq1fpjQ63U4smU+aoR3QOTE74vm+wXXx7KZAxFz+QBq1uvwnzj2+rVVIDZZj2VbjXUux+jYsdWrpRx7TuWz48WSyPYKnL6mxaq9xuPg8i0dewCIbKfAqavGDerXVg51vgHzVhVfO8myP2WgCtX9JbgR/+DvoSKe7Vv5IOuUKR4eHnB1fQAvei4H1C5q36OCZd8+DPILtDh+LQbdm4abze/ZLAI5mnycirptVefy7UTcTk7D6K4tzeY/0b011n/6QpHwy8zV4NWfVqBF3RqY/+LocrVPKgHCa8lx8rK5y+T4xTyoFGLUrWEtTMndEeAjta5zKQ/+3lJ2ISZUChFeGOXObpT/W5aO8uLWOBwN532M2GWrcXrC9FLLq2pWg0t4bSSu2WY2P2HlFjjXrQWn0Jps2rdXRyRt2mPm4k38dzNEEgl8e3d0uP/Cqktx+qq5+D55JZ9tP1nsLPF2EyPAW4LT16zrUN+Ry8iUYd2ckJljwKFzZXNrsbbVkOKURdvoxlli22jfektw6mqBVR1/k7bNXZGFf3cZb9ACOp0B0jI8atONtlaACJdumQueCzF69rBQ08/2DatuNRG6NjGKuK0nbd9IQ6uJcTVWb+bivXBTD7FYhNCgst0SGtdVQJOnx9lrxf2flaPHpeh8NA1X2q0Xn1RQJPwI+h2frDWrN6ibKxqHKfDtslScumQ/1EJAq81H3LUjCG3Uy2x+3SZ9kJ+Xg7gbJ2zWi764F0c2z0XrXs+g46DXrf7PzUqBJjcdtRt0NZvvExQGlbMnoi/u/m8cexI6jiQ4F2WuQM9c10KpEKFONWsDjJerCP6eYpy1rHNNC18PMQtbIBqHynDkQoGZuL2dpMcHC3MeivArGuevIj6PGPe9xVevXsUzzzyDVq1aoWHDhujRowcWLVpU9P++ffswatQoNGnSBJ07d8a3337LLGhklSK35NGjR5l71dTtm5OTg2bNmuGPP/4wW9fcuXPRtWtX6PV6Jm5++eUXtj5a9uDBg7F27doytZ2WsWTJEvTp0weNGzdGZGQk1q9f75ArNyYmBlOnTkWLFi3Qpk0bvPrqqyW6WD///HPWP2fPni1T+37++WfWZ9Q2WvfNmzeL/ktPT8fHH3+MLl26sP8ff/zxIhc1fT/55JPsN/XPypUr2e+TJ0/iiSeeYOWpH6l+drbtJ/eKIDYlHQVaHWr6eZvNr+Hryb5j7qTaFH+EXCZl7tw2L81A59dm4avlW5mYFCARuPKDZ/HZhMHwcCnZRWsPcsXKpCLmmjEl6a5xOsDb+ooa5GucV1KdQG/jhTO/wID35t/FwjVZZbJoWKK+lYDd9Xrh0hszoMst/cnepV4I+865VnysELlRMcb/w2pDrFTAqVYwcq5Fm5XJT0lDQUYWK+MIPh5i1n930sy3L7lwmm5algT4GC9J5G4qrQ7FTLVtIMeSjTko67OM0DZhvzjUtsJ9d8eyTrp5ncRUPYvHIsjyQa64tg0V2HPScYHq6UoiQYQUiziou1nGaW932+IvLtWAb/8twN5zeuj1toWHp4vIKr4qNw/Q5BvgU8JyS6Kan5T1oWX/30nVIrDwXLBFkJ/MZkwgq+dTXG/HkRy8NusOjl9w3GqVmXIbOl0BPP1qmc338DU+2KQlmR/XAgE1GmHShzvRuvdUiMTW+1+hcoNYLEXW3Xiz+ZrcDGjUmchMtX5YfRSPPR83MaTUPsvztnBdfh7WssHfS2y2DUV1CttC4pQs804KEe5m6fFYVwW+eMYFs553wVMDlHB3qZrWt/+s+FOr1Zg0aRKziP31119MOPXt2xczZ87EpUuXcOrUKTz99NNMIJEA+eyzz1i5+fPnMzdqv379mMjbv3+/2XKdnZ3ZciyF2Lp165jIE4vFTET++eefeP/999l8EjsfffQRfv/9d4fbv2DBAracp556iq2LBNT06dNx+PBhu/UyMzOZiMrPz2fi8ddff8WtW7cwbdo0m67tNWvWsDIkuhwlLi6OiTUSgMuWLUNycjLrM4LEM/X78ePH8fXXX7O+DQsLw+TJk5nApD4VYvcoprJ///64fPkyJk6ciE6dOjGRPGvWLFy4cIEt535ZCbPVxgu6s9I8jsRJaXS5ZKutL1hp2canWrLqhQT5Yu7zj2Nin/b4d/9JfLB0XVE5mVSCWgHmorKs0FM4QZYNUzR5BrP/bdcx7zNhmp6cCbK6WArE8lCQlgFNnGMB8ITU3YV9azPNRT25eNn/bi6QubvaLCOUozKOUGJf5Bf2hQ13d+l1UPQ9rp8z1u1XW92kytI2dQnruZd9K1AnSIpvp3niyf7OiEvWlRrMb4pSZlwWJWOYQu5a4/+262XlAmo7UQ5CPY2NuH1aF7nRy4JKKYba4vxgy8/TM+t4SZAIsOx7gubRMgUSko2u6bKQp8li33Kl+XEqVziz73yN7QdaFw9/KJ1L9t7I5CqENeuHM/uW4cLhf5jou3vnBjYteRVisQQFeer/xrGnMG+PgBA9Y7ku03nWdYrPdReVscygDgom9pZsUuOv7RoE+0nw4nAnyB9WEJpYVDGfRwzp/RZ/JLpICJFgI1566SUmqq5cuYK9e/cyqxwJKiIkJASffPIJs5CRG1WpVEImk8HX19dq2UOHDmXLJhFUrVo1JmrI8jVs2DDk5uZi8eLF+N///scsWESNGjVY2YULF7L2OGr1o3UIMYdkXdNoNNBSpLQdNm7cyKyTtH53d2OQMgnbDRs2MEEoQMLy33//ZW2tX79+mfqW+oUEmouL8QJHwpSWR5BYJuFGopdEH0FWvHPnzrHtnz17dlG7vLy8WD/T/A4dOuDZZ59l82vVqoVvvvkGPXv2ZNZXsl5WNPpSRCW5oSzRFgYydW9SD9OG9mC/W4XXYvvr+9W7MHVAZ9T0vzfRJ1BaUqCt5penzoNEVEpgsoHMRaWWcWwjSu8L6+WUdgkVaozs6YS0TD12HCt7FqOxbfbXpK+AfZuaqcOs3zOZpWdwJye8Oc4Nn/2aYTOe617X5Sj3slyqa1nf3j3P3mFiL87K0eOrxPoG+2pRdA8uuu6jPoZEKse2v97Dtj/fhVSmRMueU5g7WSpXVdljrzTtQ9tElmyCMocXrdcUnctkHXx1lDNa1JPh0PmyjSRQEYgeQZdtpRd/JCzGjBnDrGYXL15k1i+yMBHkmiWXMAkOU8jF6gjkJg0ODmbLJrcyWauaN2+OmjVrMiGYl5eH1157jVkBBUi0kfgiAUeCp7RMY7KmkTg1ZcqUKeybElFKgraLxJMgsIh69eqxj8Dp06dZ0gX1UWBgIMqKt7d3kfAj3Nzc2HYJ6yfxLAg/4YLTsmVLKyuqAO0fclWTVdCSqKgoh8QfuZDtYZlc4qIy7gPLhAwamoX9b2MfCVbBTo1Czea3rx/CxB+5hStK/AlP5pZPusJTeG4JlgtbdYRpW9aOB4k2w2gVkboaH8YEBGueNiO7yOJnWUYoJyyjNIr6Qu54XzhSp1GIDC3ryfHl0kyjIDG5YdFNiG5OpfVyefZTWetkZBuQka3FtdtASroerz/hhhb15HaHrBEQLHOWljiFHcudIwiWRFsWPpqnsdO0od1dMbyneTb5kXNquLlIbFsENSWLsFyNvkQLl63zqiwolEbLdb7GPHNFsPjJVY5Zrm1B1sNeY75Al+HvMvevq1cQm3fh0D/w8DG6lfGoH3uFz1NW52Ch1d1e+2jYH9OzT1gGWSgFq+ClGK3Z+RmTqGf7PNi3aoqw/6T4I/FE8XwkcGiYkI4dO6JRo0YsDo2tvCxRqBaQmBkyZAizbpFbdtOmTUVuVcGi8N1336FOnTpWdeXyktPVTS1r5cWR7XJycsKPP/7IBCpZBcnKVhbsZT2X5Kal+SW1jcT4wIEDiyx/ptD+ux9U9/VkmZ+3kszHZruVfJd91w60FnE1/IxtoVhBU7SFviHFPew3Sygmh7KI/byoz4ovmkLSBrmkLElM0RWVuZVY/L8Qk0MB7Q+T7KvGeCenkJrIPH2paL5ziPHGlX05CrqcXKhjE1kZU+S+XpC5ubAyjkDxP9R/vhZJGkJwOsUnWSLE+lGd20k66zopegzoqIRcJsKHk62H/pg/3ZMlfyzZmFtK2wr3rQftlwIbbbN2yd8pnEcB7JSpWVxHiLfSMQHVuK4cN+O1RTFShHAsuLs4doNLyzSw9lEgvenNVMhoTk4vn0DK1wIZOcJyi3FWGm/UNKxMSew8moNTl83dhy3rK1nyBolv08sOJTfF2TnW6dypFWR9rlIcbVRs+bPzCXefGixmj8bhMyU95Rb79vI3xr2Whxvnd0Hp5IagOi3gHViXzcvNSkVWRiLL+nWEyn7spWQYz1vL+E+yItqKxyWE0AtfdzHikvU262RrDMzbI1gATaFZjlgl7wviR89lWxHcV6lNVjlKPKDYu+eeew69evVCRkZGkRAhNy+5Ik0hV6vgZi3NPE6u3+vXr7M4QXKzUowgQYKPRE58fDyzBAqfPXv2MPemqTWwJMhy5ufnZ9U+clt/+aVxiIySCA0NZS7orKxiCwm5Ydu1a4fERGPCAlnlyMpGcYjUT9u3b0dFQQkytG6yAApQf584cYK1zVbf1q1bl/WlaX+RpZS2NSHBsWE9yLJn72OJQiZF89Aa2Hn6splg3XHqMlxUCjSsVc2qTovQGlApZNh07ILV2H9SsRiN61jXKS+kL6/GFKB5PfNhH1rUVzDLRXSctfklKU3HLu4tIyzqRCiQmKotCsZ+WORG3ULujdsIHNbHauw/EobqmDg2nbL9APz6d4XYZKidgGF9oNdqkbLLfsyraf9du61FszDzhy2aZv2XYH21p5tWcroOzcOt61CwOw0LsX6/Bl8syTT77DttNFfQb/rf4bZZrIfWy9oWX3LbyIJiXkdmbBu7aQJP9nNG7zbmVuv6tY39GGciaO22T08JTwbUr2F+raJpGiojLqX81rGoeD3Cg8Vm4+nVrylmN/zoxJKPTxp8mY5508+5a3nMykcCUMDVWYx6teQ4d63k/UD/UXIUJYwI0O9q/jK2zHtBKlOgWkhLXD+7zey6cu3MFshVrgio6XhstVW7D/yFvWu+shr7TyySoHbDbg4to9IfezogKk7HMnMtx/EjC12MifgUSMkwMNHYpK7Uqg4JQ0pUonhVttwQKcsoFgirLmEWw4eV7SsSiyvk86hxX1scEBDA4v42b97MhBi5HCnrlSD3K1nsyP1JMWgklkicUbKHEKdH1rGkpCTcvm07i4pi/cgdKcSmCW5QEm4UA0fLpWQKqv/PP/+w5AcSdI5CySgkRmkZ5LJeunQpEzGluTfJgkYu3zfeeIO5uc+fP48PP/yQCT7qE1MoW3fAgAFMBArC+F4hC2tERASzKlK8HrltKZaSxOD48eOL+pag9pFwpsQOcv1SbCCVp2Qcqk/7hVzY94sp/Tri3M04vLFgJfafv455a3djybZDmNy3A8vYpaQPGgj6bmFCgpNSjucGdMHm4xfwxZ+bcORyNH7euI8NCj2me2t42XBV3gvr9uagTrAUUx9zQ6NQORurr297J6zfl8usKGQtoYGgXZ2KxTS9qaN1QyXG9ndBwxA5xkW6sOlVu8owgFoFQa5bjzZNIPcxZlAT1z6fh6CR/dFwzofw7d0JDed+xKavfjS7qEzUrAVQ+Hmj1foFTATWnjYB9We9jdsLljs8xh+x6aAGtYIkmDLYGQ3qSDGwkxK92iiw+ZBxLDNyJdGAt0IwOLHxgIYNXDu6lwr1a0sxurcTm167zxhQTwLwVqLO7JORbRQt9Jv+d4SNB9WsbU8PcUGDOjI2XlqvNsbx0Epq24YDaibsqU0NasswhrVNgbV71UU3zk2H1OjYVMGWF15Tih6tFCzwnsZlO3/DcX/tnrM6VPMVYWQXKRvChcbu69BQjH1ndWycNbL00EDQTmUc33r/eR2z9I3rKUVYsAjt64vRt5UEJ67qyzTGH0Fv87gYlYfnRnmha0snZgl8e7IPcjUGbD+cYybsagYWi4nDZ9VITNGygZ7bNVGxD/2+lVCAw+ccS5ywR5veU5EYcwYbF7+M6It7cHDDdzixcyEbxoUSN/I02Wwg6Nxso5fBUZp2GYfEm6exZ+UXuH3tMA5u+BbHtv+E5t0mwsOnhsPLqezH3taj+Wyg5wn9lYioKUH/tnJ0byHHtmP5rH30IiX6n8YZFNhyJA/Nw2QY0U2BejUl7JumNx4qFvPrD+TB3VmEZwer2HJbR0jxZF8lbibocO7Gw/WKVDXuq9uXMnLJ4jVjxgw2ZAiJNbLqkYAii9ro0aMxb948fP/992xYFhJmlGBBQ6QQ5Nbdtm0bE0dbt261uQ5K8KDsW/o25e2334anpycTgCQgKa6OrHYkOB1l7NixLI6OlkEubBJBlFTRunVruzF/KpWKWRjJakYilOILSdC++eabNssLmc3k/iWBeq+QS5iG06Gs6hdeeIEJbRpmhxJLmjZtysqQECX3O7nKSZCT+KNEHNpWsqiSOCRLJbXZETd5eaEBmr95+jE22PMrP62An7srXhnWk73ejbh0OwFTvl2Gj58cWPRqtnE928LVSYnfth/BqoOn4evugqkDumBi7/YV3r7LNwswf3kGBnd1YePykfVjxbbsote71QyU4s0Jnli4OrPo1Wz0Td71vu2c0KmZilkCf1mViWMmAzw/KNyaNUC7Hb/hzOS3ELt0FZtH32KFHHVemYTgCcOZJZDGCExYsamoXs6VGzjSbxJ7vVvzv79nw7xEz16Mqx8VD27rCFduafHzqhzmqn12qAvSs/VYuUuN7YWJGjX8pXh1jCuWbMjBocJ4JPqmIUnoFVXtGytYzBINhnvicsUGg1+J0eKnVdkY2FGFqcOMbfuX2laYGVkjQIrXxrhh8YZsHDpX2LZz1LYc1jYaRoMsMovWZeP45WJX5caDGmTnGtC1hYKVy87VY++pPJaZXBaiEw34e7cW3ZpIMLqbFJm5wNbjOhy8aBS3gV4iTOorw8r9WpyOctyinJIJLN2mRe+WEozqKgWNEHTooh47T5XP8kJj8NFr2sb0d2fu36sx+Zjzx10mAAUmDPZgQycJr2YjofLlolQ8OcAdk4d6gMbHJ2vgsg0ZNoeoKSvVw9phwMQ5OLzpe6xf8DycPfzRadB0tOg+if2fdPsC/p37JHqN+RIN2pjfO+xRs15H9H3yGxzd+gPOHfybxfx1Hf4emnYe95869q7F6vDrBg0blPmpASqk5xiwdl8edp0ynoPVfSV48TEn/L5VjaOFr2+jb6lEw0Rim/oyZo38bYsap64Vi7qbiXrMWZmLAe0UmBSpQr7WwMYTXLMv7+Elw4mqpttXZKgMo/1yqgzqnb+hsqLqPg6TPk5CZWTRh37YIDMfDLsyEVlwpczv1X2Q/PimJ56ZUTYrz4Pip7e88MGSe4tzu598Ml6OJ942hgNURn7/shp+2IxKy9S+qNTH3suzHUvgehjMfvn+v9Qhd/HHFbIcpwkf4lHi0XNUczgcDofD4XD+m+/2vV+Qi5liC+3xzjvvFCWePCgozo7cr/agoXDIjc7hcDgcDuceEVVNt2+VFH8jR45E7969Sx1H70FDAz2vXr3abhlhsGwOh8PhcDj3hugRzNStCKqk+KNMXNMBmCsLCoWCDbHC4XA4HA7nASCqmuKvam41h8PhcDgcThWlSlr+OBwOh8PhcFBF3/DBxR+Hw+FwOJwqiYi7fTkcDofD4XA4/3W45Y/D4XA4HE7VRMzdvhwOh8PhcDhVB1HVdIBWza3mcDgcDofDqaJwyx+Hw+FwOJyqiYi7fTkcDofD4XCqDuKq6QAVGQwGw8NuBIfD4XA4HM6DRrNydoUsRznsZTxKcMsf54Ey4aM7qKws/sgfczdWzmehF/qL8OzMNFRWfnzTExtk4aisRBZcwdh341EZWfZ5EKZ8kYrKyi/veFf687aynxs/bEalZGpf4MXvMlFZmTPN7WE34T8LF38cDofD4XCqJmIe88fhcDgcDodTdRBVzZi/qrnVHA6Hw+FwOFUUbvnjcDgcDodTNRFxty+Hw+FwOBxO1UFcNR2gVXOrORwOh8PhcKoo3PLH4XA4HA6naiLibl8Oh8PhcDicqoOoajpAq+ZWczgcDofD4VRRuOWP89BpECLH8O4uqOYnRWa2HjuO5WLzwVy7ddo0VGJQZ2f4ekqQkq7Dhv05OHBGY7OsUi7Cp1O9sWZPNvaftl3GHrcu78ehjd/hbuJ1OLl6o1HHMWjWdRJEDrgLkmMvYvm3IzHu3c1w8wo2+y/q3HYc2zof6Uk34eTmg/AWg9Cy59OQSOVlal9ELSkGd1YhyEeCzBw99pzKw7ajeXbrtIyQoX97FXzcxUjN1GPLYQ0On88vsfyI7ir0aKW8pzcpKKv5o/Pp9Tg+/Hnc3XvUbtmgUZEIfXsqnOpUh/pmHK5//TPiflttVsa9RUNEzJzOvrWZOYhduhJXP5kLQ0FBmdqlkIvweB83tGqgZMfK5Zv5+H1jBhJSdHbruTmL8UR/NzQOU0IiBs5c0eD3TZlIz9KbxZIP6+6KTs2c4OIkws34AvyxKRNRsY61sX5tGYZ2cUKgrwRZOXrsOqHB1iP2j+HW9eWI7KCCj4cEqRk6bDqkwaFz5sdD+0YK9G6rhK+HBHczjcvdeVzznzp3K/t5EXN5Pw6u/xaphdeVJp2eQPNujl1XkmIv4q9vRmD8e1vg7m1+XblwZCVO7lyE9JQYOLv7oX7roWjd61mIJWW73derIcGA9koEeouRlWvA3jP52Hmy5L4gWoRL0ae1At7uYnZcbTuWj6OXzI/1Tya7wNPV2u701o9ZyNE8hDcsiaumDeyR2uo5c+age/fuqCxQW6hNxMqVKxEe7tjrrcpS1hZHjhxh9WNjY3EvnDhxAsePH3e4/FtvvYVx48ahIgkJluGVMR5ITNFi7t/pOHROjZG9XBDZ0anEOi0jFHhmuBvOR+Xh+7/S2c16ylB3tGmosCrrpBThlSc82I2mPCTePI11C6bC068O+k+cg7AWA3Fg3Syc2PFLqXVTE65i3S/PQK/XWv1368oBbPz1RXj41kL/SXPQuOMTOLHzF+xfM7NM7asdJMHzj7kgMVWHH1dl4+jFfAztqkKfNtZ9IdAsTIZJA51xKbqA1bl6S4sJkc7sxmeL0GApurUseXmOoAwOQOuNiyDzKP11TQFDe6Pp0llI3n6ACcXUvUfRdNFMBI7sX1RGVTsYbTb/Cp06DydHT8ONbxeh9rSJaPDde2Vu2/MjPdG6oRJ/b8nEj/+kw9NNgncm+7Bjx979YvoEL4RWl+PXNen4dU0G6taU480J3kwICjzRzw19Ozhj/b5szP07DTo98NYkb/h7lX481gmS4sWRrkhI1eGHf7Nw5EIehnd3Qt92yhLrNA+XY/JgF1yILsD8f7Jw5ZYWkwa6oFX94geKjk0UmDjQBeeuF2DOikwmDEf2dGKi579y7lb28yLh5mms+flZePrXwYDJc1Cv5UDsW/s1jm8v/bqSEn8Va3562uZ15dTuJdj2x9vwCqDlzkXbvi8yMbhx8Stlal+tAAmeGeyEO2k6LFifi2OXCzC4kwK9Wpb8YNokVIon+6pwOUaLX9bl4lqsDuP6qNA8rFh0OitFTPit2qvBN3/lmH3UeQ/p1ZoiUcV8HjEeKcvfpEmT8MQTT6Ay0r9/f3Tq1AmPEmPGjMGXX36Jli1bPrQ2DOnqjJgELX5eZXy/5Lnr+ZCIRRjQyRlbD+eiwPr6huE9XHDsQh7+3JLNps9H5cNZJcbQbi44cr74yb5puAJj+7ky60F5ObJ5DnyrRaD32K/YdM2ITtDrtDi+/Sc07fwkpHLrG7FOm48z+5axutISrHiXjq6Eq0cgeo/9GmKxBDXCOyA3KwWndi9GxyFvQSKxfcOxZEBHFW7f0WHxBqO15WK0lvVf33Yq7DyRZ7P/yBpy8nIBVuxUF9Whi/Kgjioct3hKV8iA8f2dkJ5lgJdbOfpRJELwuCGImPkm4GD18E9fRcI/m3Hp9S/ZdMq2/ZB5uiP8o5eRsHwjmxfyxhRos3JwfNhzzNKXvHkvdGoNGs5+H9dn/AjN7QSH1hVaXYbmEUp8tSQVZ68aj50rN/Px7et+6NnWGWt3G48xS9o0VKFWkBzTv0tCfLKxk2MSCjDjJV+0aaTCwTNqeLmL0aONM35bn4EdR43759y1PMx6xQ8DOrtg4eoMu20b1FmFW4laLFpnbMOFGwVs35JI23FMY3PfDu3qhBOX8rF8u3F9JAJp3w7u7IRjF41WG6p//FIe/t1lLHP5phb+XmJ0a6nExoPGY+JRP3cr+3lxaNMc+AZHoO+4r9l0rYjO0Om0OLbtRzTrUvJ15fTeZTi06XtIpdaiU6/X4ciW+exaEjnx+6L5fsH1sWzmQMRcPoCa9To41L7+7RSITdbjty1Ga+ulGB0kEqBXKwV2n8pHgQ2j+MD2Cpy+psXKvcb9eDlGx/ovsp0CJ68aOzzY1/hkdDaqACkZleQ96qJHygZWYTxSW+3s7AwvLy9URpRKJXx9fR92Mx4ppBKgXi05Tl42d+ccv6iBSiFGWA1r4eTjIUagj9RmnQBvaZFFhawGL41yZ5aFWcvK56qki23s9aOo06in2fzQJn1QkJeD+OgTNuvdvLQXR7fMQ8uez6D9wNdtltEW5EMmd2LCT0Dp7AG9rgAFmhyH+y+suhSnr5q7Yk5eyYdKIWKWCUu83cQI8Jbg9DXrOn5eEvh5ml8ShnVzQmaOwcpt6ChujcPRcN7HiF22GqcnTC+1vKpmNbiE10bimm1m8xNWboFz3VpwCq3Jpn17dUTSpj1mLt7EfzdDJJHAt3dHh9vXuK4Smjw9E2UCWbl6dtw0DSvZwtaorgLxyQVFwo+g3/RpEma8MTeoo4BUImLHpoBWB5y6kocm4SUvu2jf1pDhlMW+PXE5j50bocHWDwfkaqN9a10nn50Xwr79fnkW/tlp7pqldskk/41zt7KfF1ptPuKuHUFoo15m8+s26YP8vBzE3bB9XYm+uBdHNs9F617PoOMg6+sKPTxqctNRu0FXs/k+QWFQOXsi+uJuh/svtJoEZ6+bC97T1wpY/9WpZn2gkACm/XfGos6pawXw85TA18PYf9V8JczCV2mEXxWmTOKPXI2///47Ro4ciUaNGmHgwIHYsWNH0f96vR4//fQT+vTpg4YNG6J58+Z46qmncOvWraIye/bswbBhw9CkSRO0a9eOuRIzMoqfgBcuXIiePXuy+uRWnTdvHgwGg5Xbl9yP06ZNM2vfsWPHWBtjYmLY9K5du9i6GjdujF69euG7775Dfr79mAVL9u3bh1GjRrH2du7cGd9++y10Ol2prtycnBx8+umn6NixI5o1a4axY8fi/PnzNtexefNmtr1//fVXmdpGfTlgwABWNzIyErt3F5/c1MbFixezfUH7ir7//PPPov+Ftr799ttsHxB37tzBK6+8wiyBbdq0wbPPPoubN2/ifkHuHJlUxFwzpty5a5wO8LG+yNDNgyitTl6BAe/MS8WC1ZnIzi2OwSoLGam3mRjz8KtlNt/dpwb7TkuKtlnPv3ojTHh/B1pRnI2JuDOlcccxLCbn5K6FyFNnMvfy6T1LUTOiCxOBjkA3U+q/O2nm25dcOG3LtRjgYzzl79wtvQ7FTLVtIMeSjTkoPAXLjPpWAnbX64VLb8yALrf0mC2XeiHsO+ea+XGXG2U8p13CakOsVMCpVjByrpn3f35KGgoyslgZRwnylSIpTWe1fXdStQi0cfyZ1ku0ERN4564Wgb7GYzTITwq1Ro+MbL3Vsr3cJCzWsCQoXo/tW4v9lFS4n0ioWBJYOO+OxblB22dah86d1Ax9kdAiN3C7RgrsPqn5T5y7lf28yEy5DZ2uAJ4W1xUP35p2rysBNRph0oc70br3VIhsXFcUKjeIxVJk3Y03m6/JzYBGnYnM1NsOtY+EMPWfcKwJJKcX9oWFEGZtK+wfyzophXUE8UyWv9w8AyZHqvDVVFfMes4VE/ur4Ob0EN2moofv9iXt9P333zPvYdOmTTFlyhTcvl3y/iooKMA333xTVJ70xaVLl+6v5W/WrFkYPHgw1qxZgy5duuCFF17AyZMn2X9Lly5l4o3ExJYtW5hwI/EwY8YM9v/du3dZ+eHDh2Pjxo2YO3cuE2xffWV0qe3cuZOJx48//hhbt27F66+/jh9++AFr1661ageJOhJ32dnFbhkqR4KzZs2a2Lt3LxOHJFTXr1+PDz/8EJs2bcIbb7zh8LaeOnUKTz/9NFq0aMHE3WeffcYE2vz580utS+umNpBbdfXq1ahevTpzW5sKXWL79u2sTdS+xx9/HGWB+vv999/HunXrUKtWLbZOEp0E9Tm1k/qb/id3+eeff84EIbF//372/c477+Ddd99Fbm5uUTzfsmXL8Ntvv8HT05P1H4nC+4GT0nj4WcZ6aPKN0/SUaV1HVEod4zJJn1veZMpKvjqLfcsVLmbz5Qpn4/8a2y5BFw//UgVccN22aN59Mg6s/Ro/v9MaK2Y/DicXb/QZN8vh9gn9oymhL2y5zEqvg6Lvcf2csW6/2uqCXhYK0jKgiXP8+JG6G/tam2net+TiZf+7uUDm7mqzjFCOyjgKHU8k0Cyh40s4lkqsl2ddT2NSj45vW3FM9o7vouWXtJ/ySq6rEs6NwuWXdjzUqSbF7Fe9MD7SBXFJulITSR6Vc7eynxd5msLrirJirysyuQphzfqxkJMLh/9hou/unRvYtORV9hBakOeYS7+oLyyOo7xCu4mt/hP6x7KOZf+R5c/DWYTbSTr8tCYXK/dqmJXx5RFOkD+sIDSxuGI+9wDdq//44w9mMCKNQWKQDGclGas++ugjpkm++OIL/Pvvv8wjSoIxK8t4bDlCmbubRJcQd0fi7OjRo0wskOiqUaMGZs6ciW7durH/q1Wrhr59+zLLFkEigjYmKCiI/UefH3/8sciSRhZCuVzO5lMZ+vj5+bFvS8iS9cknnzDxNGTIELZcEpyCuKPlknARBBW1jUTl+PHjWaJEcLB5hpQtSACRxW/6dKO7KiQkhK0zNTXVbr0bN24w4UdCmCx/ws5yc3NDWlqxG4Msda+++iprF/VrWSHhRhY64vnnn2d9ERUVhTp16jArH4lwss4SJA5pu3/++WfWB4KL2tXVlX1WrFiBzMxMfP3115BKjYcFiUVKLlm+fDlefPFFVDSlPSzZeqouLRNOsBJXBAaD/Yu76B5iRXav+AgXj65Eq15TERzWFll345hLZ+1PT2HIc4vZhfze+8+6L0p7PhVqUAJAWiZlb5bP3VteRKVcRA16fakXWoPe9jFg6wHdXh+WsJjCeqJS+708x7cj7TK2rfz7VoAygb9elgEfdwmGdFHhrfHu+GxhOvJtxMM9SuduZT8v7ud1pfuoj9loAdv+eg/b/nwXUpkSLXtOYe5kqQPXFOP6y7NvHavz5w4N9HoDbt0x9kFUvA4JqXq8OsoZrevLsP9s2TL1/wvk5+dj0aJFTE917Wp02ZOHkax6ZAQj754pZBEkwUcaR8gzIMMU6SDyLpJH9b6IP0FsCJBL88CBA+w3uWTPnDmD2bNnIzo6mn2uX78Of39/9n9ERATbEHInkvjo0KED21hyyRKDBg1iG0XCLjQ0FO3bt2e/bYk/JycnJizJqkUbTS5Q6sR+/fqx/y9evIizZ8/in3/+sTrpSSA5Iv6uXr3K2mgKtceRegSZYwUUCgVzsRKCpfTll19mbXakLbaoXbvYvUXCktBoNEx8klmYLJamtG7dGkuWLGHi1cfHx+w/6i+ySrZq1cpsfl5eHusvR+jRo4fd/01DBIjcQouL5ZOk8OSZayPtX12OOuVFrjRamCi+zxThyVyhMv5fVrLT7+D84eUsJrBt/5eL5vvXaIzfZw7AxSP/okmnsaUuR7CgWPaFsrAvbFmdHKnTKESGlvXk+HJpplEwmVzcxSLjhfx+RexoM4xPrlJXoxVEQLDmaTOyiyx+lmWEcsIyLBnazRXDepjvsyPn1HBzsXah0fFky7JnehwKfWZeT1x0DKo1hhLKCMeq/oHsW1XhNLXHlIxsAzKytbgKLZLTdZg+zh0t6slxyM7QJo/CuVvZzwtF4XUlX2P7uiJXOW65toSsh73GfIEuw99l7l9XryA278Khf+DhY3Qrl4bQF5ZhCYL1ztKyTGgKtbCx/4r/F/pTU3hI3UywtuhGJ+iYK7gac/s/ePFneMiZupcvX2YeO1PRRvfz+vXrM8+opfgjvUUGGwpDMy1PntOyUGbxJ1iFBMhqJy58EierErl6hw4dyjZkwoQJ7Ia/YcOGovLkpyYrFVnGDh48yCx1JFJIlJDpktzJ5G6lDSTXJLk2yepE7ktLyFpGVqyUlBQmAilW0MXFeOIIZlNqiyWOJmZYbqujOFqP1Pq2bduY25Vc1ipV2YZaEPrdFBK4JT1BU5+U1D76j8QkudltCe37QXKaDjq9wSoGhwKsiYQUaxMEDXtBUB3KhHSkTnmh2D6KrclIKY5ZJdILp2mYhvKQlR7P7hSBtZubzfcKCGVuHRpP0BEoHon6z9ciBkeIr0lMtRYXQkwT1SHXi1WdFD0GdFRCLhPhw8nuVvXnT/dkQe5LNtofy628ZF81xjs5hdRE5uniGBbnEOONK/tyFHQ5uVDHJrIypsh9vSBzc2FlbLHzWA5OXTF3bbaIUKJxXQW7iZueNv7eUsQnlXws0XFWM9A66cLfW1I0hh+VIfeoqxONk6Y3W3ZymtZmxqlpnJ7tfSsc59Y30cTC2DkqQ5muVudGqo5lqTapK0d0grYono0QziV3G+OvPWrnbmU/L4TrCsX82rquePkb417Lw43zu6B0ckNQnRbwDqzL5uVmpSIrI5Fl/TpCSkZh/xUmaQgI04kWcZEEDQkjxFtSlrB1HR0Tj01DZYi5Y7T2CZD0koqBbPXDGupFjIdJYmIi+w4MDDSbT15P4T9TyKhGYWRkFSTNRR5VEork6SPvpKOUeavPnTtnNk1CrUGDBuw3mSFJ2JGLk5IkyPJFMX+CGCGrIPmoyS1JwpAaTtOHDx9m1igSQOSuJDH40ksvMXfjiBEjWHygLSgxgVzEJBjJhWrqOq1bty7rJIr/Ez7UkRRfKMTFlQZ1pOX2kkilNpVWz7KvtFots4wKLnCCXLIUs5eeno7//e9/DrXJ0XbLZDI2jp8pNKYfCV93d+uLV1hYGOLj49kThdBfZHElsU5PH45AQt/exxK6+V2JKUCLCPNhC1pGKJll4Uac9VNg0l0dktK0aFlfaVUnMVVbFGBcEUhlClSr0xJRZ7eaCWqaJqsgWerKAz2B08U//ob5GItpSTegyUmHu3d1h5ZDGZrXbmvRLMw8s5Kmqf/oBm8JBW2TlYfGg7OsQ4H3NLDt+v0afLEk0+yz77Tx0Z5+0//3i9yoW8i9cRuBw/pYjf1HwlAdE8emU7YfgF//rhDLiwVYwLA+0Gu1SNl12OayafDl6LgCs8+563lQKcUse1eAxBplstJ/JUHZwZT0QR8B+l3NT1aUOSzUpzEETTMpaRgTe8su2re3tFb7iSxztG9vxtvYt2l6JsqojCm0jDuFSR40zuCTkS7o09b8QbN+HWOdWBPhY4/KfO5W9vOCXVdCWuL62W1m15VrZ7ZArnJFQM3yXVeIcwf+wt41xhh607H/xCIJajc0hmM50n9RcTo2bp8pTerKmIUuJtH6GKHsXRKNzeqaPxA1rStjDzJ3Mw1suSO6KdlwMaY0CpEyUU377FGmR48edj8loVYbYzEp5M0U8haS580SynOgpFaKE6SwMTLYkEGHhm4rLSTNlDKbtkj8kHijDFMSZ1euXGGxYYJyJYsdiRyySpEoI3UquBjJKkdBjSRMKB6PNoyEHcWjUXIBTVPMIA3pQsKOxBoJj5LGoaMYEnL5krWRrIZt27Yt+o+CHykBgpJKKBOWlkUWNnKxOmr5I8shJaeQG5uSXIQOf/LJJ+3WIwta7969WSwfCWFye5PQpe0j16tpVi61RUj4IDe2pau2PFA/k/im7CEPDw+W7UtWVOp7OliE2Buy6JFLl+IQyeVObSTRTe2hZdC2koWW3NP3i3V7s/HGk554foQ79p5So251Gfp1cMKK7dnILzC6XapRRuZdLRtlnli7JwdPDXFHtlqP01fy0Cxcwd4aMH9FeoW3r2XvqVj9w0RsXjINEW2GIzH6FMvQbR/5GovLI1cNWeroaV7l4tgwRFSOxgg8tXMRm64R1h5ZafFseBhXzyA0aGf/4cKUTQc1ePlxF0wZ7IyD5/JYEH+vNgqs3q1mN2h62qasVRIGwpP1xgMajI90Ro5az4ZmIEtQywg5flljdDvRjS7VOHRbERkhxhvzLRsX/nuBXLcu9UOZ6KNsXeLa5/PQZOEMFNxNx511O+E/qAeCRvbHyTHF2f1Rsxawt4C0Wr8A0d/9CuewWmx8wNsLljs8xp8wpt/FG3l4boQn/tpizC4d2t2VuSC3H8kxE3YyKY3lZ7xBHT6nxqCuLpg+3gt/bzW6mUf1dsWtxAIcOW+8mKem67D3ZC6e6O/Obm5k2erXwQXOSjE27LUd1G/KhgO5eGWMG54Z6oIDZ/IQEixlb+VYuSuXxeWRS43eXpGUrkN24bmxfr+aDeBM+/rMNRquRo5W9RX4aZWxjXQD3nRQzcYQpDeGkIAL9pNiYCcVLkbn43xUwX/i3K3s50Wb3lPx7/yJ2Lj4ZdRvMxwJ0adwYudCdBxovK7kmVxXnBy8rhBNu4zDqh8mY8/KL1CnUXfcvnoIx7b/hJY9psCjcJQCR9hyJA/PD3fCpP4qHL5YgNqBEvRoIcfa/XlF/UcZviT4hP7bfCQPY3urkKM24NyNAuYmbx4mw6+F1lA69rYdz0NkOyWzhNM4inT89murYOP+XY2t2GvLo2L5UyqND0MUAib8Jkgv2PIGktAjAUhxgYKhiX5TAu6qVauYbrkv4o8SKChjlOLa6tWrx5Ia6JsgqxolRJBgIgFHyRKCACKrEjWUhmshQUZChAQiCbZffvmF/SaLGlnBSHQkJCQwCxXF2FEgZEmQW5eWR5mqpm5QElLUIZQ9TBZJEkEkSu0tyxKKUSRhSSKK2khmWBJ+U6dOLbUuWTSpP4S4PuoL6itb4xTSdpPVkxI4SDCbHgDlheILSVBTdja5xUlgf/DBB0x0C1D28YIFC5gApD6ixB1q8+TJk5k7nyy6FIhaFlNyWaHR9Of+nYGh3Zzx0uMeSMvSYfnWbGw+ZLxg1AqU4q0JXliwOqPo9U70TeOn9W3vhM7NVOzJ8ueVGTh6oeKTE6rXbYv+E75nAzZvWPg8XNz90WHgG+w1TERS7AWsmjcePUd/gYjWjiftdBg0HS4eATh38C+c2vUrnN182eCs7SJfYUM2OAq9weHnVTnMJfXsUBekZ+uxcpca2wsD0mv4S/HqGFcs2ZBTFMtF32SB6tVaifaNFczi8uv6HJy4/ODjbdyaNUC7Hb/hzOS3ELt0FZtH32KFHHVemYTgCcOZJZDGCExYsamoXs6VGzjSbxJ7vVvzv79nwjF69mJc/ah4cFtH+e73uxjb3x2j+7ox9+/VmHzM/euuWQzaxEHu8PGU4JVZSUU3shm/pmJcpDsmDXFnGapkzaPXwhVGVzAWrU5nYoIGdaYYqptxBayeMLyJPehNCT/+m82E2nOPuTLL5T87crHtqPE8qBEgwRtj3fHrumwmcAj6pqiO3m1UbAgXsmYtXJuF45eK4/g2HFAzkUuDOlM5uhHvOZmHtfty/zPnbmU/L6qHtcOAiXNweNP3WL/geTh7+KPToOlo0b3wunL7Av6d+yR6jfkSDdo4fl2pWa8j+j75DY5u/QHnDv7NYv66Dn8PTTuX7c1MJMQWrlejf1sFnhqgQkaOAWv25RW93i3YT4KXH3PGsq1qHLlo7B/6pv7r3lyOtg1kTBgu3awuGuCZ2HIkn4nFTo3l6NhYzoTi/nP52HTowSaW3Y+YP1veLUcQ3L1JSUksMVWApm29CSwgIIAJQNP7MmkGcgWX5a1fIkMZUqyoITR0SXkyUzkcYsJH92fYmIpg8Uf+mLuxcg4++kJ/0T29V/d+8+ObntggK/8rC+83kQVXMPZd8/HPKgvLPg/ClC8cd9c8aH55x7vSn7eV/dz4oTjap1IxtS/w4ncW5sxKxJxpjj8Il5fcPWUbX7cknLqUbag2ATIOCWMeCyFlNPIGZfKSEYk8l5bhWzTiCiWzkldPSPQkyx8l006cOPG/93o3DofD4XA4nP+K21cul7NBmslLR55BymOgIdfIwkfhY+SFozGSKR6fLHwUBkcjobz55pvM00peTfJOSiQSFp7mKFVS/FGSCrk87UHuZmFw6gcJ7VhbbxAR8Pb2ZuP5cTgcDofDuUdED3eoF4Ji7Skp9L333mNWPBpyjcLEKD+CXLmUMGLqdaXwORKLNAoKladxlmlklLK8/rZM4o+SO/4LUFo0vXXDHhSz+DCgUbvteeJJ3XM4HA6Hw6kAxA/X8ifc1ynR0tYbyChJ1VJ7UUIm5VLQp7xUScsfpVDTUCaVEdOATw6Hw+FwOJyKpkqKPw6Hw+FwOBxDJXD7Pgy4+ONwOBwOh1M1ET18t+/DoGpuNYfD4XA4HE4VhVv+OBwOh8PhVEkMVdTyx8Ufh8PhcDicqomoasb8VU3Jy+FwOBwOh1NF4ZY/DofD4XA4VRIDd/tyOBwOh8PhVCFE3O3L4XA4HA6Hw/mPIzLYe5cYh8PhcDgczn+UrOObK2Q5ri374lGCu305D5TX5uegsvLNc84Y/0EiKiNLPgnAMzPuorLy01teGPtuPCoryz4PwgZZOCojkQVXMPnTZFRWFr7vW+nP2ylfpKKy8ss73vjibx0qI++MkuB/ayqv/efVwfffJWuoom5fLv44HA6Hw+FUTURVM/qtam41h8PhcDgcThWFW/44HA6Hw+FUSQzgbl8Oh8PhcDicKoOBu305HA6Hw+FwOP91uOWPw+FwOBxO1URUNW1gXPxxOBwOh8Opkhiq6FAvVVPycjgcDofD4VRRuOWPw+FwOBxOlcTA3b4czsMhrLoE/drIEOApRpbagIPnC7D7tNZunWahEvRsKYe3mwh3swzYebIAx68Y63i6ivDeOKcS6x69VIC/d+U73L6GIXIM7+mKar5SZObosONoLjYdyLVbp20jJQZ1cYavpxQp6Tqs35eNA6c1ZmVqBUnxeB831A6SQp1nwP7TaqzalQ1dGV8GEFFLiiFdnBDkI0Fmjh67T+Zh21HzdVnSKkKO/u2V8PGQIDVDj82H1Th83rxP2jWSo1drJXw9JLibScvVYNeJPJQHhVzEtrVVAyWUchEu38zH7xszkJBif2PdnMV4or8bGocpIREDZ65o8PumTKRn6YvKiMXAsO6u6NTMCS5OItyML8AfmzIRFVvgcPuU1fzR+fR6HB/+PO7uPWq3bNCoSIS+PRVOdapDfTMO17/+GXG/rTYr496iISJmTmff2swcxC5diaufzIWhwPE2EQ3qyDC0mzOC6NjL1mPXcTW2HFbbrdO6gQIDOjmx/ZaSoWPH6sGz5vutZYQcfds7IdBbglyNARejC/Dvzmxk5hj+M+du/doyDO3ihEBfCbJy9Nh1QoOtR+yfF63ryxHZQVV4Xuiw6ZAGh86Z9137Rgr0blt8XtBydx63v1xb1PYHujQWw9cNyNEAJ64bcOSKY/3v7wFM6CXGjxv0yLC4FDWqJULbeiJ4OAOZucblHr9W9rd43L66H8c2f4e0O9ehcvFGg/Zj0LjzJIgccJOmxF3Eqjkj8fj0zXD1Cjb7Ly3pBo5s+BrxN45CLJYisE4rtBvwJty8q+OhIKqabt9HRvytXLkSb7/9Nq5cuYL/Gmlpadi+fTtGjBjhUPkjR47gySefxI4dOxAcbH5ilYUTJ06AXu3csmVLh8q/9dZbiIuLw2+//YaKooa/GJP7K3D6ug6bj+ShdqAYke3kEItE2HnK9o2yUR0JxvRSYN9ZLa7c0qFhbQlG91BAqzOw5dANbPa/1jfIDg1laBoqwdFL9m9OpoQEy/DKE544cl6DlTuyEFZTjpG9XCEWi7Bhn+1XXrWsr8Azw92x7XAuzl7PQot6Sjw9zANabTpbDuHrKcH08V5MoMxbns5u7sN7uMJZJcaSdZkOt692kAQvjHDF8Uv5WLtXjdBgKYZ1UzFBtOWw7RtSs3AZJg1yxs7jebhwQ42mdWWYOMAFWl02Ww7rq8YKPNnfmQmNi9G5TKCO6OHEhBvdEMvK8yM9EVJdhr82ZzKhO7S7K96Z7IM3Zycx8WEL2obpE7ygUojx65p0SMQijOrjijcneOO9ecnQFeq/J/q5oUtLJ/y9JQsp6Vr06+CCtyZ54725ybhzt3QlrQwOQOsNCyHzcCu1bMDQ3mi6dBai5yxF8pZ9CBjcE00XzYQ+Lx8JyzeyMqrawWiz+VekHT6Nk6OnwaVeCMI/fQUyLw+cf/5Dh/usTjUpXnrcHccu5GH17hzUrS7DYz2dWb9sOmhbALaoJ8eUoa7YfkSN81H5aBauwOTBbtDqMnH0Ql6ROHxmmBt2n6CHjRy4uYgxtIszXh/ngU9+SYNW9+ifu3WCpHhxpCuOXczH6r25qFtdiuHdnVjfbS7h+G0eLsfkwS7YcUyDC1G5aBoux6SBdF4Y2HKIjk0UGB/pgs2H1LgQnYM6QTKM7Gk8LzaWsE9sEeQNjOwkxsXbBuw9Z0B1HxG6NxFBLAIOXbYv1HzdgZGdxex8sKRJHREiW4lx6JIe0YkGBHmL0LOpCHIpcPCS4wLwTsxpbP51KkKa9EPLPi8jMfoEDm+cBb1eh2bdnrZb927iVWxa9Az0eut9lZ2egDXzR8PDtzZ6jPkG2gINE5gbFkzGiFfXQipTOtxGThURf/9lvvrqK8TGxjos/iqKMWPG4Msvv3RY/N0P+raSIS5Fjz93GG9MV27rmIWnRwsZ9p4tsHkj6t9GjrNROqw9kF9Ux0kpQt/Wcpy+rmai4NadYssQEewrZjePTUfyEZ1o/p89hnZ3QUxiAX5emcGmz13PZ+0b2MkZWw/loMDGveixnq44dkGDPzZnsenz1/PhrBJhWA+XIvEX2dEZmnwDvvsjjVn6zl7LR36BAeMi3bBubzbuZjjWxoEdnXD7jg6/rjcK0QvRBZBIgH7tVMwaYat9Qzo74eTlfKzYYTQZkNWH2jeok6pI/PVrr8SJy/lYudt4Q7sco4WflwTdWijLLP5Cq8vQPEKJr5ak4uzVwv18Mx/fvu6Hnm2dsXZ3ts16bRqqUCtIjunfJSE+2bghMQkFmPGSL9o0UuHgGTW83MXo0cYZv63PYBZZ4ty1PMx6xQ8DOrtg4WrjfrOJSITgcUMQMfNNODrOa/inryLhn8249PqXbDpl237IPN0R/tHLReIv5I0p0Gbl4Piw55ilL3nzXujUGjSc/T6uz/gRmtsJDq1rcBdn3ErUYsGawuMoivatCJEdnbD9qNrmvh3W3RnHL+bh722Fx8MN474ly7Ag/vp3cMLZa3n4bWNxvyem6PDeZE80CZPjROEx8Cifu4M6q1jfLVqXXdQPJJb6t1cxcWer74Z2dWLbvnx7btG55KwUYXBnpyLxR/WPX8rDv7uMZS7f1MLfS4xuLZVlEn+dG4iRmA6sO2IUZDcSDUyYtq8vwrFrBpt9R/+3rCtC54aiEgV6+wgRLt02YNdZ43JvJhng5WqsVxbxd3zbHPgERaD741+x6RrhnZiYO7XzJzTq+KRNkabT5uP8gWU4vnUOJDJ5CcudC7nSFZFTfoVMrmLz3DyrYfPi55Acex6BtR/8vchQRd2+VXOrKxlkfauK0I0ipJoE52+YX8nO3tCxJ+k6gdaHJ7mF/DzFOHfD/Op9JkoLXw8xfNxt38WHdZLjTpoee844bvWTSoB6tehmaO72IWGnUoqZFdASchcF+kit61zUIMBbCn8vCZtuGKrAmat5Zi5eWi5ZFBuFKhxuX1gNKU5dNb9Zk2hTKUTMCmiJt7sYAd4SnLpaYFWH2kZ9S8xdkVV0gxPQ6QyQluNxsXFdJTR5eibKBLJy9cz12zSs5Cf9RnUViE8uKBJ+BP2mT5MwYx81qKOAVCLC8YvFgpRujKeu5KFJuH0rglvjcDSc9zFil63G6QnTS90OVc1qcAmvjcQ128zmJ6zcAue6teAUWpNN+/bqiKRNe8xcvIn/boZIIoFv745wdN+G15Th5GXz44iEHVlCyQpoe99KceqKxfFwKQ/+3lIm3unsuHgjH3tOmgv4xFTjgejnaTw+H+Vz13heyGycF8a+Cw2W2Tkv8u2eF98vz8I/O83PCzreZI51W1Hf1fADrsaaX/cvxxqgkIkQ7GO7Xmgg0KmBCAcvFos7S5bv1WPnaXOBTIKaHggdhURcfNRR1GrY02x+nUZ9UJCXw6yAtrh1eS9ObJ+HZt2fQZt+r9u8z0Wf24p6rYYXCT/Ct3ojjHt/30MRfsIbPiri86jxQMRfeno6Pv74Y3Tp0gWNGzfG448/zlyXxJw5czB27Fi88soraN68OT799FM2f9u2bRg4cCAaNWrELFTx8fFmy8zPz8fXX3+NTp06oVmzZhg5ciT2799v5ibu1asXPvvsM7Ro0QLPPfccm79w4UL07NkTDRs2RPfu3TFv3rwyia+rV6/imWeeQatWrdgyevTogUWLFhX9T9szYcIEzJ07F+3bt2dt++CDD5CQkMDqNWnShLVr9+7dRa7UVatW4ejRowgPDy9Tv+7ZswcDBgxg7YiMjCxaJqHT6bB48WL06dOH9SF9//nnn0X/C+siVzq1gbhz5w7bD2QJbNOmDZ599lncvHkT9wtvdxG7cSdbWLlSCqfphmCJf+FFODndfJ+lZhhKrENWg5oBEqzZn4+y6GxyzcqkIiSmmN90BFdioLe1EgryNV5lE1Mt6hTeXAN8pJBJjcu2LJOVa0CuRs/EoyP4eIhZ+5IsXJvJacb+E4SmKXSDM92Gojrp5nUSU/UsFpAgywy5gds2VGDPybLH/JFLOylNZ9X3d1K1CPSR2K1HFilL7tzVItDX2EdBflKoNXpkZOutlu3lJmGxhiWhvpWA3fV64dIbM6DLLd2aSe5bIuea+TmRGxVj/D+sNsRKBZxqBSPnWrRZmfyUNBRkZLEyZTn2LPcT9aPpfjRFOG4EIVdcR19Uh3bB8u05OG0hcpqFGx9k4pJ1j/y5Sw9gxr7Tl9gPllDso+l5WlJ/U9+anhfkBm7XSMHiYR2FYvGo7yje0ZQ0o4EX3q62j9n4u8C89XpmwdOXYABNzUJRDKBSbnQDUwzgyeuOX/gyU29DryuAu08ts/nu3jXYd3qy+bEt4Fe9Eca8vQPNezwLsQ21mZUWh3xNFlw8grBv1SdY/GEbLHinMbP6Zacn4mFhEIkr5POocd9bTCJk0qRJOH78OBNrJMrCwsIwefJknD17lpU5duwYfHx8sGbNGowbNw4nT57Eiy++yATL2rVrMXToUPz8889myyXRcuDAAcyaNYuJp379+jGxYiqAbt26haSkJKxevZqJmp07d+Knn35iQnTr1q14/fXX8cMPP7B1OIJarWbb4uHhgb/++gvr169H3759MXPmTFy6dKmoHG1rdHQ0fv/9d7z33nv4+++/8dhjj7E20vaHhIQwwUWi891332XzSSSaildHWLp0Kd5//32sW7cOtWrVwrRp05CTY3T3zJgxA/Pnz8cLL7zA/n/iiSfw+eefM0FICOt65513WBtyc3NZ3xPLli1jcX2enp5MVJMovB+QhYAg96cpefnm/5vXgc06wrTwvyldm8oQnaBDVLzj7l7CSWk8PShGzea6lNbtI8uCvTpkkROWq7ER66bJM7AyjiCUs7eukurQeizXy7bJog7FTn07zZPF/5EwKC2RxBZ0kySBZgm1W+ivEuvl6UvoI2M96kvL7S+tDwQK0jKgiXP82Ja6u7Bvbaa5m5pcvOx/NxfI3F1tlhHKUZl72rdF+0lss7+MZcz7TJguqS98PcUY2dMFtxILcO5a/iN/7jqVcozbPC8K+05dYtsszotqUsx+1YvF/8Ul6UpNJDFFUbideRaGTGFaYW2YZGSrqT2OraOaN/DqUAmL/0vKgMOJJAQJNEKuND9WZQpn4/95tsM0nN39oXTyKHG5muy77PvIxlnIzbyDHk98g86PfcaSQ9b9NB4F+faT6DiPmPgjkXHhwgV88803aN26NUJDQ5n4qlu3LrPCCbz00kuoXr06EzEkPsgKSMKldu3aLBZu1KhRRWVjYmKY8KJ4NbJQUZ2JEycy65fpMgmy+NFyaX0kBuVyOapVq4agoCD079+fiSGy4jkq/ijRgix5JOBovdRuwjQRRa/Xs22ktg8fPpyJqLZt22LIkCGs3ujRo1mSR3JyMlxdXaFUKiGTyeDr61umviXhRttP63n++edZ+6KiopCdnc2sfNQ2sp5SO6ndZEElEU2iU1gXrZ8+GzZsQGZmJhPo9erVYwKdxKKLiwuWL1+O+4GNeGUzbD3pi8pYp1aAGNX9JNhVQgC6Pcq6LkfrlFZG7+B1urSsO1vLKes2pWbqMOv3TCzekA13ZzHeHOfGLJclt8kYm2T6sbdOe9tqb/sEa3159lF5EdHG2FsXmWNKLeNYg0rfLuvllKcvyKL1xjgP6PQGzP8nk1kGH/Vzt/Tzy0bflbJMyxqUCfz1sgz8ui4b7i4ivDXenSVVONQ+3P9jNiMHWLZTh3VH9HBRAuN7iJk73BEMBvtCW1ROK5dOZ9yPKlcf9B43B9XDOiKs+SD0GvsdMlNjcO3kOjwURKKK+Txi3PeED3KTkrggMWF6USfXIglDEoPe3t6sjGmdDh06mC2HLGNk6SIuXrzIvknMmFJQUAA3N/OMPRI+AoMGDcK///7LLIq0XnLL0m8Sgo7g5eXF1knCk9pAYvLy5ctFgk+AtodEk4CTkxNq1DCazAkSe4Lr+l4g0ScgbLdGo8GNGzdYX5C72xQS30uWLEFqaiqztJpC25ORkWElhPPy8pigdARygduDspNNEawaFOdi68nY8imcEJ58jU/iBhuWCPPyjetIWTbppVtlHD+F1q+xbSkossqUYM0ybY9VnTx9cZkSLHO2lmuzfSUsR5i2ZREra52MbAMysrW4dhtISdfj9SfcWEap5bAwAkO7uWJYj+JzmThyTg03F4ntbbVh2Stqq0ZfQh+JizKEaR+V1I8EudErCm2G0SIidTVaQAQEa542I7vI4mdZRignLKM0Sj+ObOxbjalVsHi7BSuhZVY1xRQ+P8KNWbe+/i2jKFygLO2rjOduSX3n0Hlh2d+F00LfWp4XV6FFcroO08e5s/PiUAnnhSl5hVrWUiwKFj/h/3shW2P8INmA9BwDxnWXoF51Ec7fLF1ZUkIGQfF9pggWP+H/siIvtBxWD+9k9iDlX7MpW2ZqfLH37EFiqKKpD/dd/JUUT0fzpYXR44IYMhWHpmKKIMuY5TLJrersbH6RFVs8eZsum8QbuZZPnTrFXMYkPklQkouZrIylQZY6skDScihesGPHjiyejmIZS2prSe2qCGwtk/qmpD4X+lTod8v/SEySG9wSEq/3g9RMA7M4+LjTdhRf4I3TxTE6pgjzKOYoLqV4vhAsToHhptSvJcH5aG2JMTL2SErTsiQHCpQ3xd/L2H/xNuKjEgrjA/29JSzb0FadvHwD7mborJbr6ixmiSS2lmuL5DQd6z8/D1pO8R1DCE63jP0yjWmi+CrKEi6uUxzTRDehxnXluBlPN7bijhO2x92l5GN557EcnLpi7gJrEaFE47oK9nBsemhSEkJ8UslB/NSXNQOtzyXqW2EMPypDrl9XJzFLIjFddnKa1mZWZ3nJvmqMdXIKqYnM08U3KucQY6JH9uUo6HJyoY5NZGVMkft6Qebmwso4AsVxsn1rcYwI07bGRxRiSGn/30q0Vae4M2i4l8mDXdlyvvszw2zcxEf93KU4PWobubNNEY5xm31XGFtJZczOC6HvCs+LJnXliE7QmgnlovPC1bFrfFo2XW8N8HQxF8GehfaClMzymf7IIl83SISEuwa2jqJtSzN+uzo4ioqbdw2IxBJkpNwym59ZOO3pV6dc7WPj+NG9XWstkGkIGYnMsUQ3TsVw3yUvJRZkZWUxa54AiRMaY46sb7YgtyMJNFPOnz9f9JtcuIIYq1mzZtGH4unoUxIU20fuULKIkUuU3JnkUt640ThEQ2mQxY+SV2gZ5E6mxA2ylgnbVF4cGTSzLJBrmQQo9bEpFItI7l53d3erOmSZpaQassAK/UkWUXLXU0ymI5Blz97HEsqSuxGvZ2N/mdK4joQ9id9K0tu86VDAdZMQcwHbOETKhEqaSRC1SmEUOWUZ2sUUEg5XYvLRsr7Sahy/HLUeN+Lybd60k+5q0cpGHUocoQGfifNReWgarjRzxbSqr2Bi82K0Y0kV1H/XbmuLgvVNxysji1d0vLXyoT4iSwVZKczryFhyAfUtZQc+2c8ZvdsorQbNJSjGqSRIRETHFZh9zl3PY6KWsncFSKxRJjX9VxKUHUxJH/QRoN/V/GRFmcNC/dYNi9tKfdo0XGF32eUhN+oWcm/cRuCwPlZj/5EwVMfEsemU7Qfg178rxPJi4RowrA/0Wi1Sdh12eN9ejSlAi3rmN8QWEQrjvo0rsCmu6IGAypjVqSdnwlBIVGgUKsdTQ1xx/XYBZixOL7Pwq+znLjsvbmnZeWDZD9R39FBjSbLQd1bnhZw9MBWdF5Eu6NO2OFOVqF/HWCfWznlhChvOJhkIDza/7tcLFjErLCV2lAcSyZGtjAM8m1LH3/idVJhYUxpSmYJl3kaf32p2X7txfiuz0PlWb1yu9lHMoHG521hGsUDstUPQ5uc+vGxfkahCPo8a9138kXUsIiICr732GstoJRfiJ598wsTg+PHjbdahpApyp1IiBSVOkGijOEBT8detWzd8+OGHLInj9u3b+OWX/7N3HmBNXe8f/2Yn7L3ECYpbFPfeC7dVq1XrqLWOttaOf+evdtvWDketbd3d1r0V9564AQcgCoLIXgGy/s97QkISAgSLiuV8nocn5Oaem5Nz1/e+6/zCkjlM3auWkAuTtkkJIFRXj8QQCRtyKduCj48Pi6vbvXs3E0pkOZw7d+6/duGSZY0SU+h3VAbkciYL5aJFi5hgpRhJspL+8ccfbGwNYpO+l/YHxR+SS5xEIYniS5cuseWUlHLkyJEKZyFXhH3nC1mx2Il9ZWhYS4T+bSXo3lKC/edVTHzR0zZ9bm+iQ8LOqRAcKMaIrlIE1RRhZFcpe7/7jPk+8HXXH96WWX8VYevhXNSrIcGs0S7MGjaipwMGdLLH9qO5KFTpXUlUCNrRrvjk33Iol9WhmzjIid1onx/kxN7TDAoGdh7LZbNXvD6BaqvJ0K+jHcb21xfetbXGH9vOCSXq+Inw4jAHNhsE1err005fi4/Gj4LoqRC0g6K4fzuOK9G6kQxj+9qhSV0JxvW1Y++pSLTh5rnrpBKdg2Vse0G1xejVRl/0mWoCXo2pmF+KavpFxBRg5ihXdG9tx8Q0FWEml96+07lmwq62b7EwOHVFyUQLFcPu0FzB/uh/Skw4fVXf19QMDY6E5+G5gc5sv5Doe/N5d9jLhdhxxHpguq2Q69alXQtIPVyNy25+9gP8Rg9E08UfwrNvFzRdMo+9vzFvoXGd6AXLIfNyR5vty5kIrDtnEhoveAd3l6+zucYfsf1YHurWEGPGSCc2y8yw7nbo10GBHcfyUMj2rYAlHtCsJga2HclF2yZyjB/ggKYBEvZK7zcfyjMK40mDHFjyA22HstNpG4Y/VxutV1X93N1xXD9204c7oGk9CYZ2VbBZOeh8MY6dn/nYbT+mZA9g4/rZs3Ppuf727D0ViTaeFyeU6BIsY9trWFuM3m3kmBRK50Uhq8NoK8cjtCwpY3hHIer5gNXuI9FGmbz0PeQSpkLQdhUwhpGopPbB9fS1AGt7AW0aCBDalkS0DtG2H3po1WsGku9exr7f5rASLmf3LMSlwytYGRcq01KYn8MKQSuLkjhspe2AucjNSsbOlS+y7V4/txEH/nwDXrVaoHbjnngS6Kpptu8jd/uKRCJWCoVEF7lWSSRRaRJKtAgODsbRo0dLtCGxSGKOkg9I9JHYo0xeyuw18N1337E/Sr4g6xuJPkpQoMzg0iArH1nuKAuWSq+Q2KGYP8r6tQXK7KXkFcqkpaQKShyhbZJV68qVKyyR42GgRBAqbUNlWygL2du76FHtX0DZ0JRoQmOWkpLCYh9prCh71wAJweXLlzOht2zZMjbWVHCaMrEpS7tJkyZs35El8VFxK0GLNbsL0K+tFJMHyFgszfYThcaaXlTgdeYwBf7aX4CzRVNA0StVEqBMwLYNxcyi8Me+AjZDgCmOitJjfGwlMrYQS/7OwPAeDnhlrCvSszT4e282dp/Q3xDq+ErwzhQ3/LIxk03PRtAredZJjHRpqWAWhZ82ZOBMUYFng+vp67VpGNPXEbPHuCAnT8uKRm80EYi2cD1OjZ825WBwZwVmjHBARo4WGw4qsa8oK7eWjxivj3NiCRsnr+hvsPQqFuWyqduohAtZXagY7rmo4hvwzhP5yMnToXuIjK1H/TtyoQDbjtleyNaU739Pw/iBzkzg0rPHjbhCLPkrzSwObfIQZ3i4ivDagmT2nm6C81elYkKoM6YMc2Y1EcmaR9PCmboCV27OYJZYKupMpV1uJ6hYO1tm9ygLp5ZN0GH/r7g09W3Er93EltGrUCZFvdemwH/SSGYJpBqBif/sMrbLvR6D0wOmsOndWv29iJV5iV24GjfmLarQ90fdVmHpP1ms2PPs0U7MQvfPvlzsLZrejYTyWxNdsHJLFo4XTd9Gr2JxNrNOdQ6Ws2Nv+eYsnI0oMBbcdnHUW+teH18yM3PL4VxsLRI7T/O5S0XJl23IYcWeZz7jyMZu/f48Y7Z6LR8R3hzvzBI2ThRN30avdN72badgJVzIQr5ia7ax8LnhwYnOBSrqTOtRqAGVP9p6tGKZqnHJwIbjWnRtKsQznWlqPGD/JR3OFGXl+rgC43uKWMLGFRvi9Awcj9Ahr0Bf1LldkID9Hx6tw9GrFRvHGoHt0XfCIlawec+aWSyTt/3AN9Gi2xT2eUrCNZah23305whqPcLm7frUbonB09ewWT3Cfn2FFYuu06Q32g96C0JhBYoRcv41Al11rTDMeSK8vtT6lGhVgW9m2uP5/z25elNlseZjH0yf/5D+oMfAT2+7Yfx75rU4qxK/feaHHZJHZ8H+N4SqrmPqJw9QVVnxgWeVP2+nfZ6Kqsov77rj87//3YPIo+LdMSJ8u6XqSoC5Qx+9OzUx6mKlbMe3YTCeJvj0bhwOh8PhcKoluqfQZVsZcPFXBLmVDbOOlAYlk5iWV3kUUAkccrmWBpWR2bdv3yPtA4fD4XA4nP8uXPwVQUWZqUZeWdhaD/DfQAKzLE88xVByOBwOh8P59+iewkzdyoCLvyIqI8miMigrW5nD4XA4HE7loSt3zpX/Jlz8cTgcDofDqZboqmnMX/X81RwOh8PhcDjVFG7543A4HA6HUy3Rcbcvh8PhcDgcTvVBx92+HA6Hw+FwOJz/Otzyx+FwOBwOp1qi425fDofD4XA4nOqDjrt9ORwOh8PhcDj/dbjlj8PhcDgcTrVEV03dvgJdWXOJcTgcDofD4fxHiY6JqZTtBNSrh6cJbvnjPFbmLM5BVeX7lx3QefBhVEWObeuG/60pRFXl4+elmPZ5Kqoqv7zrjqmfPEBVZMUHntghCUJVJVR1vcqOnWH88jcvQlVFPuwVvP1L2fPGPynmT5Nj+OybqKpsWlL/SXfhPwsXfxwOh8PhcKolOl31dPty8cfhcDgcDqdaoqumea9c/HE4HA6Hw6mW6Kppwkf1lLwcDofD4XA41RRu+eNwOBwOh1Mt0XHLH4fD4XA4HE71En+6Svj7N2i1WixatAhdunRBcHAwpk2bhrt379rUduvWrQgKCkJ8fHyFvpOLPw6Hw+FwOJwnxNKlS/HHH3/gk08+wV9//cXE4AsvvIDCwrLLeyUkJODjjz9+qO/k4o/D4XA4HE61RPeELX8k8FauXIlXXnkF3bt3R8OGDfHdd98hKSkJe/fuLbUdCcQ333wTTZo0eajv5eKPw+FwOBxOta3zp6uEv4clKioKubm56NChg3GZk5MTGjdujLNnz5babtmyZVCpVJg+ffpDfS9P+OA8cYJqihDaQQofNyGy83Q4dkWFgxdUZbZpVV+MPm0kcHcWIj1Lh33nC3E2Sm22jperAEM6yhDoL4JGC0QnaLDlWAFSsyo+o6FCLsSMSfXQraMnFHIRLl3LwKLl0biboLR5G5+83RjKfA0+//662XJPdylmTQ5ASLALpBIhzl/KwNJVMYhPtG3bAX4C9G4pgqeLALlK4Mx1DY5f09rU1sdNgOmhYizcqEJGrvlnfu4C9GstYq8FKuDiLS0OXtKwsawIjetKMLybHXw9RcjO1eLg+XzsPV32jAdtG0sR2kkBDxcRUjM12HUyHyevFJit07GZDH3by+HpIkJaln67B85VbCaFJvUkGN7DHn6eYmTlaHHwnBJ7TpU97m2byDCoix373hTq2/E8nLhs3rfWjaTo39EOvu4i5OXrEBGrwoYDOcjKfbjZNOU1vNH14nacGzkLaUfOlLmu35hQBL4zA3b1akJ5OwG3vv4ZCb9uNlvHOaQpGn35FntVZ+Uifu1G3Ph4CXSqss+7p2n8Tty4gyV7TiP6fhrcHBR4tkMzTOwaDIGg9Bv1kcjbWLbvLG4lpcLZTo7ezQLwcv/2sJNKjOvEJqfju50ncC4mASKhECH1/PBGaCf4uzujItSvIUTfNmJ4uwqQo9Th5DUNjl7RlNmmRYAQPVuK4eYoQHq2DocuqRF+0/yEDKkvQpfmIrg7CZCVp0P4DQ0OXtRA+xCHnlwqwMRhHmgf7AC5TIiIW0qs3PAA95LLPk6cHUWYPMIDrRrbQygEwq/lYdXGB0jPsv773F3EWPheLWw7mIG/d6bhaaRXr15lfr5//36ry8nCR/j6+pot9/LyMn5myeXLl5m1cP369bh//371tfylp6fjn3/+Mb6fMGEC3n777cf2/Y/7+x4F1H/6HY+b2t5CTBssx/10LVbuzMf5G2oM7iRFr5Dii60lzQNEGN9Phut3NFi5Ix+3EjR4ro8cLesXP8u4OAjw6kg72CsEWLsnH+sO5jNx+dJQBSSiivfzwzcaoUcnTyxbE4NPv4uCp7sMiz9rAUf78p+f6F7zygsBrL0ldEH9/tMWCKxnj2+W3sTHC6Lg4S7Fkvkt4OhQ/rb9PQR4rqcYDzJ1+OugGpdjtegTIkKXpuWf2l4uAozvJYZIWPJm6OoAPN9XDLUaWHdYjRPXNOjQRIiBbSs2ePX8xHh5tCMSUzX4cUM2Tl8rwMiedujfQV5qm1ZBUkwd6oBrsSosXZ+N63fUmDLYAW0aS43rdG4hw+TBDrhyS4XF/2QxYTi6tx0GdlTY3rcaYrzyrDOSUjRY+k8mTl/NxzO97TGgjG2ENJRi2nBHXIsuxJJ1mbh+W4WpQ52YoDFA/894xhlxiWosXZ+FjYdy0aiOBG9McIH4IY49ub8P2u5cCYmLU7nr+gzvi+C1C/Bg33EmFFOPnEHwyi/hO3qgcR1FXX+0270KGmUBwsfOQcx3K1F3zmQ0+f79CvWrKo/f5bgkvLx6B+p4uuDbCf0R2rIBvtt1AisPhZfa5lBELF5dsxMB3m5YPHkQpvRohS3nIvHxhoPGdZIysvH8jxuQkZuP+WP74oMR3RFzPx0vrdiKfJX5w2dZ1PQS4Pl+EjzI0OG3MBV7sBrQToxuLUr/gU3rCDGmhwQ347VYG6ZCTKIWo7tL0bxe8bneqYkIo7pLkJyhw69hKuwPV6N1kBjjepV+PS2L1yb7oGNLB/y6JQWL1ibBzVmMT171h72i9OsLib0PZvqhQR05lv2VjJ/+foCG9eT4cHYNiEppNnu8N+wVD3Fy/Afcvkql/mFJKi2+vhEymQwFBeYPRUReXh7eeOMN9lenTp2H/t7/hOXvq6++Ypkuo0aNYu8XL14MkejxHUiP+/seBe+99x40mrKfOh8FA9pJkfBAi9/D9Ad51B0Nu0D0aS3FkYsqqKx0aVAHGS7dUmPzsUJjGzs5MLC9FBdu6i/A/dtKoSzUYelmJQzX5LSsfLwQKkdNbyFi7tluvmoS5ITO7TzwxrwrOHVe/1R6+Vom1i1vh+Ghfli77k6pbQPq2GPO9EA0qu+I/IKSP6Z7J0/U9rfDhFlnEXsnjy2LjsvB+hXt0bOzJ7bsTiyzbz2DRUhK02HjMf22b93TgLRcl2YinIzUQm1l/Gh82zUUsrbWPic6NxWhUAX8cVDNLH03E3RsX4S2FeHIFQ0yLayEpTGkqwJ3ktRYuU0/p/O1GBUTmyTS9p/NN+4bU4Z3t8P5yEKs26cfDxKB9nIBhna1w9kI/T6n9uciC7DhoH6dqNtqeLsJ0aO1HDtP2GYxHdrNnvVt+ZZs9v5qtAoikQChne2w70zxcWPKiJ72OBdRgL/Dco2/hx4whnWzw5lr+mN4YCc7XL5ZgF93Fs9jTQLp/amuaNFAyn6bTQgE8J8wDI2+/D/Yem8J+mQuEtfvRuQbX7D3KWHHIHF1RtC8V5G4bidbFvDmNKizc3FuxExm6Xuw+wg0ynw0XfgBbs1fhvy7ZR9zT8P4LQ07g4Z+Hvj82T7sfaeg2lBptFhx8Dye69wCcknJW9+C7ceYpe+T0XoLTrtAf2i1Ovxx/DKUhSoopBL8GHYWDnIZfpo2hL0narg54dXVOxARn4xWdf1sGrs+IWLcS9Vh3SG9Be1GvJaJph7BYhy/qrF6XvZrI8aVGC22n9IPLIlAhUyAvq3FuBxTyB4ye7YS40a8Bn/sL7bMJaQU4rVnZAisocGtBNuve0F15WjbzAGfLE1AeIT+PIuIzseyj+pgQFdnrN+TbrUdicWAmnK8/Gkc4pP0+yo2vgAL362FTq0cceSc/ngx0L+LM/y9H06cVqVSL/tLseyVh1wuN8b+Gf4nSPgpFCUfpD799FPUrVsXzz777L/o7X/E8qfTmduzXVxc4Ojo+Ni+/3F/36OA+k+/43FCIoRcspdjzO8SF2+pmbuhrl9JQU3uDi9XIS5Ha0q08XQRwsNZfyK3CBTjdITK7AZ0N1mLD1flVUj4Ee1auSJPqcGZC8XuiIwsFS5ezUD7ELcy277/WkMmdqa/cQHpGSVdJUdPpeClNy8YhR+hUuuPZ3IBlzd+dXwEiLxj/nuuxWnZ+NX2sn5Rq19DgO4t9CJub7h19RdYQ8huSKYu3mu36QYlQKCfbZcNstI0qCXBhRvmN+vzUQVQyIQI9C95wSc3vo+7yEqbQni7idi+Jxaty8b6A8VjRtAN01arLvUtqLYE4VHmT9YkTKhv9WuW1jcxLly36FtkAbzdxfByE7HbSERMIQ6Hm7ufk1L14+zlavtDolPzIDT94SPE/7YZFye9Ve76ito14BBUF0lbwsyWJ27cA/v6dWAXWJu99+zTGcm7Dpu5eJM27IZAJIJn385P/fgVqjXMJduzST2z5X2aBSC3QIULsSXFbWTCA9xNzcLYjs3MlpNQ3PF/E5jQo/vM/qvRGNa6kVH4EU38vbDv/ck2Cz86b+v5CnHttvm5dzVGw87bOj4lzy9XBwG7vpVoE6uBh7OQuXgdFGAPSVEW14P76TrmVm5Ys2K3++BGdlAWaHExsvg8y8rR4NpNJXPnlkbLRvZM9BmEH8He3y9EqyZ2ZuvSfp841ANL/0hGdcW3yN2bnGw+BvTe29u7xPobNmzAiRMn0LJlS/ZHZWGIQYMGsTjAp0783bhxgwUutmnTBk2bNmX+c/JpGzh69CjGjBmDFi1aoGvXriwbhixV5K7ctGkTzpw5w2rdmLphKYiSBodSqE1ZsmQJy6qhbBk6oX/55Rf2fbTtoUOHsro5D+v23bhxI/r06cPStek7aJuUxUN+eTLTUn+o/+SrN23/2WefYe7cucbf9/PPP5cQtWWRmZmJ999/n9UJouwfCh6l92RSpu3Q7/v666/N2mzevJnVFMrJySnh9t23bx+zpNLnzZo1w4gRI9g+qExIqIlFAjzIML9YpWTq3xtu9KaQdYco0SZDZ2zj5iRgT8QUEzOymxSfTbPH1zPsMTVUDmf7ij/l1a5ph3tJSmgtNGNCohK1/M0vZpZ88m0UZv7fRUTftm4qy83T4GpUFvtfLBYwS+H7cxoiPbMQB449KHPbro50ExYgxSKGMS1b/969SAhbkpCqw3cbVDhyRVviN7F+iPQ3G8vYyLwCIL9QZxTY5UHxehKxAPfTzL8kOV3/nkSeJRTjRdwvutkXt9GYtSExkFp0nNjJBcwN3KGZDIcsRENpeLoa+lb295j1zUNsJkSs/R4asXX7cnHRQry2DNK7dBIe2G5dV95JxKGGfRD55nxo8sr/XQ4NA9hr7s3bZsvzouP0nzeoC6FcBrs6/si9GWu2TmFKOlSZ2Wydp3384lMzmZWvtqf5w2ytopi82yklLVbX76WwV5lEjNmrtqPte8vQZd5yfLX1KBOT7LvTs5GdXwhfV0d8vvkw+7zNe8vw6poduJ9RbKUsD7o+sfM20/z8MpxvnlbOL4rnJUpt4yJAfgGg0erYuWuKQgooZPrvrQj+3lLcT1GViBVMelCIGt7S0tv5SHHvQUnrbNIDlVk7slS+PMEHx8OzccFEYFY3t2/Dhg3h4OCA06dPG5dlZWUhIiKC6SFLKAN4+/bt7P5Nf2QJJEgzVMQaWCXEHwmUKVOmMMsTiSb6Yf3798eXX36JyMhIXLhwAS+++CJCQkKYuKIfS+tRbRxyVw4YMICJqmPHjplt197enm2HtmfKtm3bmMgTCoVMRP7555/44IMP2PKJEydi3rx5+P333x/699y7dw+7d+9mO4MKN5I5ePDgwUyUkWoncUffQbGKBqgPZH2j3/faa6/hhx9+YKLUVki80cFCwnbPnj1455132IHx999/swDn4cOHY+fOnWaCkkRu79692YFnytWrV/Hyyy8jNDSUjcm6devg5uaGt956q9y6QxWBnnKJfItNFhS9l0vLamN+RSpQ6YyfOyj06wzuKIWLgxBrd+fjrwMF8PcUYvYIBaQVDHZwsBMzy58ltKy8OJWYOBv9owC+/KAp1ixujVbNXVjCR2p62WMtl+h/JyVjmELuWv3n1ttl5wHKMjZtaJdvJaabvktmo4fGTla0rwrM95XhPQl0SxRy/TJy2Zu1KXpv2P+mcWcL57rh+VAHJCRryk0kMX5P0XcrS+kbxWKW+D1FfcsvMBezhvfWfg/h6SrE6N4OuJOkwpWbtp8/qvRM5CfYHswtdtafx+oscyFCLl72uZMDJM6OVtcxrEfrPO3jl1N0QXGQmV9A7Ire51pecChunDKlKMZt7S4W87dkyiBM6d4K609fw//+2W+2zsKdJ5CcmYsvx/XFhyN7IDIhBS/8vBl5hhOvHAzXNcN1zoDhPLbotnkbVSltJGBhGZejtejQRITWDURM9NGD2rM9Jewhr6LXPTuFEMr8kk+HtM8pAa7UdnIhlEor7fK17DMDg3u4MMvfqo164V1ds32lUinGjx+PBQsWMK1A2b+kAXx8fNC3b19m5Hrw4AHy8/XXttq1a5v9GayDfn5+FfLeiauK+CPR9dxzzzHBRpC1bPny5bh+/TqOHDnCLGIkPoiAgABW2DA1NZUJJvKTSyQSeHqWDKgn0UPbpmKINWrUYFkyt2/fZpYsCpxcvXo1vv32W2alI2rVqsXWXbFiBevPw6BWq5mYpH42aNCAKXvq3+TJk9nn9EoJKtQPV1dXtox8+CQISahRu+joaKxdu5aZdMvKTjPQqVMn9pRgsH76+/vjt99+YxZVYtiwYUwYnjt3jq1HB9OpU6fYGFtC8YvU/3HjxhmX0RhSX2jMLbOSHpbyfpY1w6ctbQxBxdlKHUsIMWwmJUOL10bbISRIjJPXrAdn0/Yt8x8EZTwiPUwGXWms+TsOf2y4i77dvfDenIbMxbojzHq2l6GvZVEBw/Ej2W5529Fa2VB5R7plC8oE/vq3THg4izCsmwJvP++MT1dkoFD9b3+jrlLGhaxZc59zZhYZSl6oxMOlBAIKGisDHSmActexrYdVefysHVfm/SjZEbIUEj2b1MVrAzuy/9sG+LNtLdp9Ci/1bgtVkQXQzdEO304YwM5Pg0VxwtIN2HnhBp5pV37NtXKP8Ye87hGbjqmg1ooxoqsYz3SToFCtw+GLasgkAqsxmKbbt/wOK3lgJt9X+hiXdYgZPA01vCUYN8gdXy1PRJ4Vgfk40VaB6d1I75BuIG8diTy6R5MGId1A+Qzkufviiy+YbqksqoT4I6sSCQ2y0JH16s6dO0z9EuSaJQFD4saUfv362bRtGkQSQrRtciuTtatVq1ZMMZMQpKDK119/nVkBDdBOIAsX7QTTAMyKQCLSgJ2dnZlgoiwewtSK1q5dO7OLElkyyfJH1kEan/Kg8Ttw4ABzgZOovHXrFjto6tXTx73QGLRt25ZZ8mhMduzYwVLJ27dvX2JbjRo1grOzM7NcxsTEIC4uzrg/ykoKqWiqu+EB3NKSZHjKtbQY6dvol9HFzFQKmFoEDU/DkXEas5tF3H0te2r19yRrnfUr4eRna2PKOPMMqoPHHsDNpeTjuJ2dCLm5tmf4lcflCL379/zlDPh4yfH86Fplij+DZc5y/GRlWO5swdSaYAkts2I4sYrBKmRprZOXYjUqq42i6L0y37xNZo4OmTlq3IAaDzI0eGuCM8soPXm17E6W+j1l9S3f1KpVfMMyWLmoJIkpFBM3a5QTOya//jUTD4rcm48KdaY+kF7saB6PZbDmqTNzjBY/y3UM6xm2UR5Vefwcii4gFN9nSm6Rqc1RXpxZbMC+6GDv2sj83O8UVIuJv6h7D1DXU/+g3jmollH4Ec1r+8BRLmXr2ILxvLW4pBjeWzu/SrtWGs/1os/poWfDETW2nVDDxVGAjGwdW9amobjMElejB7jh2YHuZstOhGfD2bGkRCCrX54Vy56BXKXWqmVQoRAyoUdD9/J4b5y4kIOLUXlmYpE+o/fWwlH+y4hEIlawmf4soXs3GcFKg7RDWZ9XafFHViiK5yOR07NnT3Tu3JnFmXXr1o19LhY/fDdJUJHVi0QPTZeya9cuzJkzx+zp5fvvvzeKJFMsU68rAil2U0zFpTUsfyOJXsKWLGJal4TtzZs3WdDnwIEDmYuZrHem0FPD559/zp4uSAQbXN+WUPzk1KlTmTWUXO3ksibr7KxZs1CZUGwfPdFTwDJQLCo9XITGQGVLDPFBHi4CJJh4C/TbAIsvy8nXsSd2a2Uh6OJiSKiwxpY9iTh+NtVsWdf2HmjbypU9GZs+8Pr7KhAX/+9iVRrWd4Sft7xEfN+NmBw0bVR23TCqb0jjR0kwpkLYENtDZSQeBrpZZOYatluMvVx/s6eyMrZA8V/UP3LbmWII2k9MKfkgkVQUQ0br3L1f/DklA7A2qRp2w2tRX4rYRLWZIKDMU8LZsfxoluQ0fd8M2y3xPdb6lqo2xpXeSbLWRm1WrmTqUEe2ne//zERG9qO/m+Xc0Mfx2QXURtbFSONy+wB9okdOVDQ0uXlQxiexdUyRerpB4uTA1rGFqjx+Nd2dWZLV3dQMs+V3UjPZa10vvYgzpZaH/lwzxPcZUBdZBCk7uKa7E7sGWK7D1tNqIbPxPpVWdN5SkoYp7mWct4ZYP1qHsoSNbZzN2zSsJWTCO+6+DslF1086b53sgXsppY/h3uOZOHfVPESlXXMHlvRhed3z9ZSw5I3SuHe/EHVrlhTYvh4S3IwrgLurGEF1FeyvRzvz8kWjB7izvxf/F4sHaZX3YP04sn2fNqpEzB9Z5TIyMljc28yZM1nCBCUwGAQauUGvXLli1mbNmjXG0i7luUXJ9UuWMIoTpCQQihEkSPCR6KIYPVMf+uHDh5nJtTzBVplY/r7w8HCm+MkCVx4UF0mu8YULF7KkkiFDhjDLI1lQTc3zZC0lqya5nK9du1aqCZkSbehpgkrYTJo0iVldExMTyzX3k2WvrD9L6BpKhZdbBJhfNOm9/gKmsXoRJNEYHGjRJlDEhCElO1DoTUyCFs3rUQ274nXq+4sgkwoQfa9062VqWiGu38ox+ztzIR32dmK0a1VsgXVxkqBFExf22b+BsoX/93pDeHkUXyzpsKO4v+jbZQeRq7VkzdShcS3z45TeU8xcQsrDOxmj72kR5C80G7/GtYXsphWbZNuNmPbvzTtqVrfPFLLMkQXg9r2SF3cScw/SNWwdU2gb94uSPOh+PDHUAf3am5dBaFxP3yY+WWNT327EqRDS0PwmFdJIxvoWm1DSbJps6FsjizYNpUzYGBJQmgVK8cIwR9y6q8L81RmPRfgRedF3kBdzF74j+pWo/UfCUBmXwN6n7DsOr4HdITTJWPUZ0Q9atRopB0/Z9F1VefwoaYMyb/dfjTG7Xu27Es0sdE1repVoE1LXDwqpGLsv3TRbfijiNsRCIZrX8mExgyFF2zUVgKdv3YWyUG1zti81vZ2kRZM65sK5aV0Ru+5RVQJLyGqXmqVl65i1qSPCg0wt0nP0v7NdIxEGtjM3PHRuKmbizbIqgCnpmRpE3ykw+7sYmQs7hQgtGxUntTk5iNA4UGGWAWwJWfMoWYQSPwzQ/zV9Zeyz9Ew13vjqTok/gwil/2md6hLz96SoEpY/CmwkyxIlSZCliVyN5N82uEbJYjdy5EgmbshaRW5ISvagODSDW5XSou/evYuaNWuW2D7F+pGY+eabb8wSHChekLJjaLu0jNzBlHFDWbEPO2XKw0KxeJQcQsKN/qeEE0rasAUPDw8mYsmqSdZTEtKU8k0WVVPXMtUMogQYGgeD69sa5KKmbF/qB+0bGhMaI6IyEz6IsHMqzBgmx6T+cpyOVKGOjwg9Wkmw/UQhi1EhKw8VZybBl1sUy7/3TCHG9ZGz2SyuxqrRrJ4YLetLsGZ3cbD/9pMFLLlj+hA5my3EUSFgxaNvJ2lYeYSKcOlaJsIvZzCRtnR1DLKyVMw1nJOrxuad94zr1alpB4lEiJsxtmf+bdl9D8P6++Kr/zXFyj/joFZrMXygHwJq2+O1/5k/EFjj8GUNK8Y8upsYF25pUNNTiE5Nhdh3XsMCwGn8KHuQRDFl69rKsasaNKsrxITeYpyI0MDDSYBerUQ4f0Nrc40/YsfxPLw2zgnThzvg+KUCBPiL2awcGw/mMQsjWRL9PERIztAgJ09/A9t+TMkKOFN5iks3CxHcQIo2jWX4aVO28ea564SS1RCkGUOux6ng7yXG4C4KRMQWsnpztrD9WB5eH++MGSOdcPRiPgJritGvgwIb9ucW982THiqK+7btSC6mDHVCrlKHizcKENxAhrZN5Fi2oShjWwRMGuTAQhZ2HMtj7U1Jz9IivZLEILluHRoHMtFH2brEzc9+QIsV86FKy8D9bQfgPaQX/EYPRPg4vbeDiF6wnM0C0mb7csR+vwr2Deqw+oB3l6+zucZfVR+/aT1bY/ryLXjz9z2sNMvFuCSsOXIBr/bvwMq0UFJIzP00NisHzf5Bwm5mn3b4ZsdxOClk6NW0Hi7eTsKqw+EY16k5W4d4pX8HTP1pE2at3Ibnu7ZEak4evt91Es1qeqN7Y9sL7h64oMHUgRJWfPncdQ0rdt+1uQi7z6iN5y3NUERWQsN170C4hhVwzivQITJOyx7GWgSI8Mf+4mvyiau0XSkGtRcjIk7LSjb1aCnGoYtqYxUAW6Gafldu5GHO8z5YuzkF2bkajBnozioU7D6qN84YhB1lflMtP+JYeA5G9nVjhZ6pODQxYagHbicUsMxecmqRuLRGWqa61M84/0HxR4KELFHz589nZUdIrJFVj6xFZBEbO3Ysy34lcURxcBSrRsJvxowZrD25dcPCwpjLs7SJkMnKRQkOltYuEliUdEHihgQkCR8KviTB+TiheDlK8iDxR7+P+kW/2xYo24fGjix1JBop8YVctmS1ozhAU+j3U8ZxWYGj9PtTUlLw0ksvsfeBgYHMXUzxCLQ/yBJbWdyM12DVznxW7JlKsWTk6LD1eCEOFU3vVtNLxETcH2H5OFM0fRu9ikX56NFKinaN9bEsv+3NNxZ4JujJeslGJZs2bvIAObsZXYlRY+uxgodKhHjv82uY/UIAZk2uxyzNVyIz8cGXEcg2ifl7fUZ9Fqs36oXilP3yoNp/VAqGpo57c2Z9KBQiRFzPxivvXTLGAJZFbJIOfx9So0cLEcb2ECMrD9h7ToMTEfobpK+bAFP6S7DxmBoXo20XHSlZwNowNfq2FmFMdzGo0sjJCC27aVWEqDg1lm3IYUJt5jOOzIqzfn8ews7o72i1fER4c7wzVm3LwYmi6dvolTxofdspWAkXiuVbsTUb50yK++44rkROnpYVdab1svO0OBxegK1HbXfDR91WYek/WaxY8ezRTqxv/+zLxd6i6clq+4rx1kQXrNySheNF04/Rq1iczayOnYPlzJK1fHMWzkboPw+sKYGLo16wvD6+ZObdlsO52HqkcspaOLVsgg77f8WlqW8jfu0mtoxehTIp6r02Bf6TRjJLINUITPxnl7Fd7vUYnB4whU3v1urvRUw4xi5cjRvzFlXo+6vy+FGB5m/GD8CPYWcwZ+1OeDk7sEQOEmyGun6UofvxqJ4Y2roRW0ZTv5HwW3v0IjaeiYCnkz1m9mmLyd1aGbfborYPlr84DIv3nMbrv+1m7uAeTepibmgnNtVbRSzrv+9ToXcrMSb2lbAwi12n1cbp3Wp4CPHiICn+OaTC+Zv6ZfRKUUAkEimbl8Tc3wcLcTmm+Ly+maDFnwcK2RRwbRuJWMzf1hMqNkPPw/DlL4mYPNITzw/3YO7fqJh8LFj5gMX1GZg+xhNebhJM/1BfYkit1mHekgS88IwnZo71hlqjYxa/VRseVMlYPl01dfsKdBUpJsd5JFB9PRK8JOD+68xZbLtV7HHz/csO6Dz4MKoix7Z1w//WVK7VtTL5+Hkppn1uHitZlfjlXXdM/cS2gPzHzYoPPLFDos/Sr4qEqq5X2bEzjF/+5ooJ18eJfNgrePuXis05/biYP02O4bPNXd1ViU1L6j/y7zh3/d+F7hhoHVQylrQqUyVi/jgcDofD4XA41cjtW1UhFzPFFpbFu+++a0w8+a/2gcPhcDic/yK6aur25eKvDEaPHs0qbJeFu7t5baSH4ddff33ifeBwOBwOp7qhewozdSsDLv7KgMqs2FJq5b/eBw6Hw+FwOP8duPjjcDgcDodTLdGiesLFH4fD4XA4nGqJjrt9ORwOh8PhcKoPumqa8MFLvXA4HA6Hw+FUI7jlj8PhcDgcTrVEx92+HA6Hw+FwONUHHXf7cjgcDofD4XD+63DLH4fD4XA4nGqJVodqCRd/HA6Hw+FwqiW6aur2Feh0umqqezkcDofD4VRnDl/Lq5TtdGtih6cJbvnjPFYGT49EVWXbT40QdqkAVZE+LWR47p0EVFV+/6IGJs27j6rK6nneeH1pLqoi38y0x9RPHqCqsuIDT+yQBKGqEqq6jtnfZqKqsmSuM7adV6MqMjhEjOnz01BV+eltt0f+HTqe7cvhcDgcDodTfdBVU98nz/blcDgcDofDqUZwyx+Hw+FwOJxqibaaJnxw8cfhcDgcDqdaouMxfxwOh8PhcDjVBx2P+eNwOBwOh8Ph/Nfhlj8Oh8PhcDjVEh2P+eNwOBwOh8OpPmi525fD4XA4HA6H81+HW/44VQK5TIBJI7zQsaUT5DIhrt3Mw/J/7iPhfmGZ7VwcRZg6yhutmthDJBLg3JUcrPgnGelZ5hX1h/dxQ/8urvBwEyM5VYVtB9Ox81C6TX2LvHQC2/5ajMS70XBydkOXfs+i1+DnIRBYdxeoCguwa/0ynD22EzlZ6ahRuwEGjpqBxsGdrK6fnpqEz18fiWlvfo8GTdrgYZBJBRjb3wltmioglwoQdbsQv23PRGJK2TMLODkIMT7UGc0byCESAhev5+P3HZnIyNZaXb9vB3sM7OKAOV/ZPptHkwApRvZ0QA0vMbJytNh/Ng+7T5Q9pVK7pnIM6WoPT1cRUjI02HEsF8cv5Vtdl37vJzPcseVwDo5dtL5OaTSoKcKAdhL4uAqRrdThxFUVDl0se8xaBorQu7UU7k4CpGXrcCBchXPX9W1cHQV4f0Lp0zydiVTh74NlH9OmNKknwfAe9vDz1I/dwXNK7DmlLLNN2yYyDOpiB08XEVIyNdh1PA8nLpvPXNO6kRT9O9rB112EvHwdImJV2HAgB1m5D2cGkdfwRteL23Fu5CykHTlT5rp+Y0IR+M4M2NWrCeXtBNz6+mck/LrZbB3nkKZo9OVb7FWdlYv4tRtx4+Ml0KlUNvepYW0xBneSsd+YlafD0YsF2H++7LEPCZKgfzsZ3F2ESMvUIuxsAU5HmH/nJ9Mc4epY0m7yf0uzkJtv+/hdv3wcu9YtxP34aDg4u6NTn7HoFjqp1OuKWlWIwztW49zRrchIS4KLmzdadgpFzyEvQCyWGte7enY/wjYtw4PEWDi6eCCk8xD0HGq+ji00qiPGsG528PMQIStXi0PhBQg7U/b51aaRFAM7yuHhIkJqpha7Tylx6qr5mHdoJkWftnJ2fKZl0XbzcfD8k5tZScezff87LF68GJs2bcKBAwf+k9/3KNi4cSPeeecdXL9+/Yl8/xtTayCorgKrNyYjL1+LsaEe+GxuLcz6KAa5edaFiFAIzHulFhRyIZb+ngSxSIDnR3jh4zk1MefTWGiKmk0e6YXBPd3wx9YHuHFbidZNHTBjrA80Gh32HM0os1+xNy5h2fzZaNWxPwaNmYXoqAvY8vt30Go16DtsqtU2fyybhyvnD2PIuFfg5VsHpw9vZdt45cPlCGwUYrZuekoSfvjsJSjzsvFvmDXGFYG1pPhrVxbyCrQY0csJ703zwFvf3Wc399LG761J7mz8Vm5KZ+M3pr8T3p7igfcWJxvHz0D75go8F+qM9CyNzf0K8JfgtXEuOHM1H5sO5qB+LQlG93FgQnPHMesCsHUjGaaPdELYqTxcuVWIVg1lmDbcGWqNDqevmt8k7OQCvDrWhYnEilLLW4ipA2W4eEuD3acLUNdXiNAOUggFAhy4YF1kNKsnwrg+Mhy9rMb1Oxo0rSvC2F4y1jfaDomnhRtKirNOTSUIDhThTKTt03zVqyHGK8864+y1Amw+lIv6NSV4prc922+7TlgXgCENpZg23BH7TitxNboQLYNkmDrUCWpNFs5cKzCKw+kjnHDovBKbDuayB4Dh3ezxxgQXfPxLOtS2716G3N8HbXesgMTFqdx1fYb3RfDaBYhdvBYP9hyFz9DeCF75JbQFhUhct5Oto6jrj3a7VyH91EWEj50Dh4YBCPrkNUjcXHB11oc29amOrwgvDbND+HUVtp8oQICfCEO7yiEUCpigs0ZwfTGeH6jAofBCRB5Wo3mgGBP620GtycP56/rjwV4uYMJv02Elou+ZD5SywHbhF3fzElZ+PRMtOgxA/1EvI/Z6OHb8+Q20WjV6Dplmtc3mtV/g/LFt6DN8OmrWa4a7MVcRtvFHZKQkYvSLn7B1blw5gTXfv4oW7fsjdOxrSIq/hZ1/fY/c7HQMn/Sezf2r6yfC7FGOOBdZiK1HlAj0F2NEDwU79vacsi4AWwZJMGWIPQ6cK8C1GCWC60sweZAD1Jocth2iU3MZJg60Zw8wEbF5qOsnxqheduwBbtfJij24VRa6aur2/U+KvylTpuC55577z37fo2DgwIHo0qXLE/nuoHoKtGvhiHmL7uD8Nf38q8zy91kgQru5Yt2uVKvtOoc4IaCWHDPnReNuov7iEhOfjyX/q4fOrZ1w+EwWvNwlGNrbDT/9mYRdR/RC7/L1PHi4SdCqsX254m/HPz/Cv25DPP/y5+x94+DO0KjV2LtpOboPfA5Sqdxs/dTkBJw9tgOjpryLrv2eZcsaNG2LmOsXcHTP30bxp9VqcebINmz69Rvo/uXVh0RfSGMFvlqVgks39De267cL8f2b3ujT3h5bDuVYbdeumQJ1a0iZQExI1ouSuEQV5r/qhXbNFThxUS8wnOyFeKaPE3q1s0d2KUK8NIZ1t0dcoho/b8pi70nMiYQCDOpij72n8qCyooVG9nJggufPPfp+k4ixVwgxvIeDmfgLDpJh/ABHduN4GPq3kSAhRYs/9xeN2V0NE6W9QiQ4clllVQQNbCfF5WgNth4vNLYhAdq/rRQXbymZYL5z33yM/D2FTPjtOl2I2CTbx29oN3vcSVJj+Rb9g8HVaBWzbod2tsO+M0qrYzeipz3ORRTg77Ci8yhGBXuFgFlwDOJvYCc7XL5ZgF93Fh8XSSkavD/VFS0aSHG+6EZdLgIB/CcMQ6Mv/w+2xswHfTIXiet3I/KNL9j7lLBjkLg6I2jeq0bxF/DmNKizc3FuxExm6Xuw+wg0ynw0XfgBbs1fhvy7ieV+T2gHGeKTNVi7W38MR95Ws7Hr21aGQxcKrI7d4E5yXLihwsbDehESGadm+za0o8wo/vy99Ba/S7fUSMms2Llgyp71S+BXpxHGzZzP3jds0QUajRr7t/yCLv0nQGJxXcnNzsDpA/9g4LNz0WPwFLasftP27HXnX99h4LOvwcHJDWcPb4KLuy/GzfoSQqEIDZp1RE5mKg7vXIMh49+CSCyxqX+DO9vh7n0NVm0vOo5i6dgDBnRQ4MC5fKvjN6yrHcKjCvHPfv1DHVmT6dgb0kVhFH8DOspxPqoQGw/p90tUnBpebiL0CJE/MfFXXflPxvzZ29vDzc3tP/t9jwK5XA5PT88n8t0kwpT5WlyI0F9oiKwcDa7ezENIU4cy28UnFRiFH0H/xycVMuse0SHYESqVDmEnzCd+/+qXBHzxU0KZ/VKpCnHr2lm0aNvLbHnL9n2Qr8xlVkBLnFw98eYXf6Jt11DjMqFQCKFIzLZn4N6dG/jrl0/QtutgPD9bLywflub1Zcgv0LIbuoHsXC0iYwsRHCQvs929ZJVR+BH0/70HarN2Q3o4onkDGb77LRUXIst2OZoiFgEN60gRHmV+UT8XkQ+FTIgGtUq6oTxchPD1EFtt4+Muhreb3sJHN+VXxjgz9/aC32xz35tCIi+ghghXY8wV3uUYDROT9XxLXhrJpevlKsSVGPM736VoNTxdhPBwtq6ARnSR4n66FocvqSs0dkG1JQiPMrdSkbCjsSMroCXuzkI2Rheum4u385EF8HYXs5ss9TAiphCHw83HNylVPw5eFbCgOjUPQtMfPkL8b5txcdJb5a6vqF0DDkF1kbQlzGx54sY9sK9fB3aBtdl7zz6dkbzrsJmLN2nDbghEInj27WzT2JGligSaKSTsFDIBAvxK2jzcnATs2Lps0ebiDRUbE9q/hL+niFn4/o3wI/dtdORZNGtjfl1p3rYvCpS5zApoSb4yB+17jUaTkB5my7386rHX1OR49krXGKmMLHTF+9HOwQUatQoF+cXX1/LGr0EtMS7csDiOogrZ+NHYWj/2RGyMLdvQuNJ5Qyz5JxsbDppb/MkDIxY/2Rk+tJXw97TxSMRfUFAQfv/9d4wePRrNmjXD4MGDsX//fuPnZPX46aef0K9fPzRt2hStWrXCCy+8gDt37hjXOXz4MEaMGIEWLVqgQ4cOePvtt5GZWXwDX7FiBXr37s3a9+zZEz/88IPRgkJuWFpGTJgwAXPmzDHr39mzZ1kf4+Li2PuDBw+y72revDn69OmD77//HoWFtsflmH5ffHw82/aOHTswbNgw9vtp29HR0ayPHTt2RNu2bfHRRx+Z9Xfs2LHs83bt2qF169bMBZuTY91iY43yxpTGb9SoUWZtEhIS0LBhQ5w4cYK5fanfBm7cuIHp06ejTZs2bHu9evXCypUr8Sio6StDUkphiayrxORC+PuUHqfi7yuzGhN4L7kQNYra1a1JAqcQTevb4fv36mLT0oZY/lkA+nVxKbdfqffjoVar4OWrvykZ8PSpxV6T790u0UYikaJ2QBMo7BzZPiG37vrVXyIl6S469ykef1cPX3y4aDtGPv8mJLLSBZotUCxdcpqmhPvifqoavp6lX1X9vCRWYwJZO4/idvtP5+L1Bfdx7lrFnszJFSsRC4zCwrj9NP17H4+SQsPwveW1KVDp8O4PqVi+OQs5FbRGEu7OAubmfmBxEzfc1A03e1O8i25gDzLMBzo1U1dqG7L41fYRYcuxwgq5lwxjZ/jdBpLTi8bB3faxS07XGttQF9bty8VFixt7yyD9+ZLwwHafr/JOIg417IPIN+dDk1f+sUHuWyL3pvl5kxetvw47NKgLoVwGuzr+yL0Za7ZOYUo6VJnZbJ3yICFCY2cYKwMPMooErlvJ/eRT9FBxv0Qbrdm+r+Glj5F8YbAdvp7lhG9mO2FyqAJO9rbf/FOT7zIx5ulTx2y5h7fhuhJb8jd5+WPklP/By8/89189tx8ikRiePvprFMUNpiTF4dD2VVDmZjH38tHdv6JhcFcmAm2BHsDY+Fkcew+KjiPDA5gphuPR8ng1jl9Rm6RULYsFNDzAkRu4fVMZDoc/yZg/VMrf08Yjs/wtWLAAQ4cOxZYtW9CtWzfMnj0b4eH6J5q1a9cy8UaCZM+ePUz03L59G/Pn603gaWlpbP2RI0di586dWLJkCRNsX331FfucYutI6JCA2rt3L9544w38+OOP2Lp1a4l+kPAicWcqpGg9Eke1a9fGkSNHmDgkobp9+3Z8+OGH2LVrF958881/9fu/++47vPvuu/jnn3+QlZXFxB39xl9//RWvvfYa/vjjD9YvA1euXMGxY8eYwKLxoN9rKVrLorwxpXG4fPmymcDetm0bfHx80L693n1gQKlUMle2i4sL/vrrLzYu/fv3x5dffonIyEhUNnYKIbP8WaIs0EIhL90SQa7AvFLa2cn1h7azgxjuLmK8PsUPe49l4MOFd3AhMhezx/uWKwANcXhyhbn1UabQB/Tn55UtzsO2rMQHM/vi0M7f0aHncDRsXjzO9g7OcHX3QWVAMXv0my0hayBZiUrDTiawGqdEy2ibBhIfqEvE/9mCYR9Yfkd+of49WRFKthGU00a/TY2mpMipCAZXsWG7BgqKNJE1V7K86DnEso3hveFzU7oHSxCbqEH0vYoNoGFsSoxD0XtKiipt7Gi/m7fRljrehKerEKN7O+BOkgpXbtr+0KtKz0R+gu2JP2Jn/XmkzjI/b8jFyz53coDE2dHqOob1aJ3yMPzOiuzb4jbmy/NVxQlpBsufi4MAd+5rsGxzLjYeVqK+vxhzRttDaqP1ynDdkJW4rtjr+6m0zUJ35ew+nD+6BR16j4GdgzNbFtikHboPnoLtfyzAB9M6YPGH45g7+LnZ+nvnvzr2yjhvjeNX6vFq3qaenxjfzXFl8X/0wFFeIgnnKRJ/JDYoDq5evXpMnJEF7LfffmOf1apViwmJHj16oEaNGsyyR+KCrE3E/fv3meXNz8+PfR4SEoJly5YxKx5BAkYqlbLPaB2KV1u9ejWzUllCljByu+3bt4+9p+2SOKL+EbRdEn7PPvss61fnzp2ZqNy9ezez4j0sJJ7IwkeWNbIm5uXl4eOPP0ZAQAATgu7u7rh586ZxfcrwIotjkyZNmPXvf//7H44ePYqYmBibvq+8MaWxqVmzpplAJvFHAp3Gx1L8TZw4kfWB+lunTh288sor7LN/mxBCiWz0dWZ/ZTw0lxUPJyiznf5VLBbA2VGMpX8kYefhdBbv98NvSTh/LYcllZRFebF4Aotxs6RZSDfMmbcSg599mcX3/frDB/i3VHT8yqphJSijoa4Sil+VtX/Yd1j5itIyHYvbVM4jdlljpv+ef/976vgIUdNLhIOlJI+URfnfpauU8SaLzZsTXKDR6rB0fRazDD4qyjtfdFqt/oAuc53ye1ieDe7f7Ns/w5T45q9c7D1TgOgEDY5fUWH5tjzmGm7b2LZsWp2u7AeBss5LA1fOhOH3JW+iTlArhI593bh8w8qPcWjbSvQeNh0vvb8KY6Z/irycTCyfPx2FBbaFbJR3DlrbBRU99lKzNFjwexZW78iBs70Q/zfBCRLxk8v21VXC39PGIxtuEjCmtGzZEsePH2f/k4v00qVLWLhwIWJjY9nfrVu34O3tzT5v1KgRBg0ahJdeeonFoXXq1Andu3dnIooYMmQINmzYwIRdYGAgc6XS/yQELbGzs2MiiIQOuWHJnUwCcMCAAezziIgIZhFbv359iQsruWr9/f0f6veTVdG0Dx4eHlAoFGYxdqauZRJYht9PkGWSIPFGAro8yhtTOqHp99M4kFWVfjd9vnTp0hLbovjFcePGMYsfrUdiOyoqin1GrszSINdwWZDr/9lQD4wbbB5beOx8FlwcxVYtR7nK0r8vT2ndsmXajiyKWq2OlYAxJfxaDkKaOLBSMRnZ1i1ICjv9k7llrAzF+5l+Xhp+teqz18DGrVl28I51SzF47Mtw8/DFwzK8pyNG9jbPqjx9RQknB5F1i6AVy6gBspqW9hSfV4HMxbK2b83SYvhOa1nIyodo8zAYrBoyifn3yIru30oLq5GpVUjfN50VK6L5+s3riVl/I+9oHrp/pY2DVYttvqlVsHi/G6yElmNHMYWzRjkxi87Xv2Ya3XqPCnWm3pIudtRbuAwYrHnqzByjxc9yHcN6hm2UhWHfUfkjUwzWp9Ks3Wwdi1BKgzXX8DlZcS2JuadhY0uJPbYgt3O0el0pUOp/u1yh/7w0juxcg22/L0BA4zaYNHcxJFIZW56Zdp8lhfQcOg39R+sf1omaAc2w4K2hOHNoIzr3Kz8x0TgWsocYPxvbZObokJmjxs27QEqGFm8858Qy1S3LwjwOtE+hy7ZKiz+xRQSnRqMxWph+/vln5pYcPnw4s1BNmjSJCQOKkzPwzTffYNasWcwtSzFp5IYlC+CaNWuYOCF38oULF5igJHcpuT1ffvllJmwsISvf888/j5SUFCZ+KFbQwcHBKGYoNo76Ysm/SYCw/P2W1jVLJBJJifEiRJRiZQO2jCl9Ri50cjGTO93g+rbkwYMHGDNmDBtnEpVkDSXLLbnv/y2UXXvWQoi1D3ZkyRv09Gj6hOjrKUV8YumxIPH3CxFQs2S8HLW7eVv/lEvxflTegSyAKnXxxinzzxA7Vhoe3jVZ4PSDpGJXOWF4712jpChPe3APUVdOoU3nUONFmfCv24i9ZqYl/yvxd+BMLi5YJEO0bixnyRuW40dB/gkPSk8yIHduHb+SiQOUNBAd/+8vwg/SNcyiZBkjRIkH7PutxBsmFrlyqQ1lutrS5mFIzdKxvnk403lZfEPXvy+OkzPFsIziBRNSipcbEj0oqcOUxnVEuBqrRhnPS6VC8VbUP8PvLjkOJUVIUqp+bCi4/k4Syhw7Kvcydagj2873f5Ze17Eyybmhj2WzC6iNrIvF4SP2AfprUE5UNDS5eVDGJ7F1TJF6ukHi5MDWKQ8SEzR2ljGYhveWcWmm+47WiX9QPBZUi45ISqNEICoHI0FckgaJqcXrCIqSJKhOpC24e+mvKykW1xXDey8r1xWDUWLL2i9wbM/vaNlxIMa89JlZ7b70lES2Tp0GesOBAR//QBbvR/UEK3LeerHfXmy1NiRtWAu3uF+0jMaPsoSL2xhi/TSQSSjJTIrb99TGWEDCcJ47OzyZ/FNdNRV/j2y0SWCYQkKNXJoGVysJu3nz5jGRERwczOLTDBY3smB9/vnnzOJFIoaEDb0/deoUUlNTmevyzz//ZGKQ3JHr1q1jyQwkaKxBCRTkCiXBeOjQIaPLl6hfvz6zkpEIMvwlJSWx+MLcXNtiLyoD6kN2drbZeBGNGze2qX15Y0rQGJBFltzeFNdoOg6mkMUvIyODjfHMmTOZxdWQbFOW243EZll/RFqmGrfi8s3+LkTkwE4hYgLQAFmymtS3Y/F5pUHZwZQQUtO3+AJI/9fykxkzh89d1QvNrm3MrWXtmjsi9m5+mZYxEm+BjVrh4un9Zr/74ql9LKGjTmBTq+KP6vxdOlOc4EREXToJsVgCb4uA7YpCN+nYBJXZ35WbBczKRwLQgKO9kGXaXrlZeiwNfUbFgylhxAD9X8Nbwrb5b6FyENfjVAhpVNwvonUjObMKxiSorIqe5HQ1E7SWbUjc0I29MqAyLjH3tKxunynN6+mzOe8ka60KRgpWbxFg/mDXPEDMbmbp2cXHiEKmvxFWpLSLZf9u0Ng1NB87GksaO9rv1sQp3bgtx5ssKjR2hkD7ZoFSvDDMEbfuqjB/dcZjEX5EXvQd5MXche+IfiVq/5EwVMbps+9T9h2H18DuEEqLH0x8RvSDVq1GysFTNo3drXgNggPNH2xIuJGF7nZSSfFCxxX9BTewbCNmiSNpWTq23dE9FaxcjCnNAsSQSgS4ede2BxO6rtRtGIKrZ/eZXVcunw1jVsFaAc2sttv19/dM+HUd+DzGzfqqRNFmD59aTFTGRp03W04JJHk5GXDzss2LRb+TfoshCchAqyCp/ti7V/J30vFPCTV0rJm3kTCxTccexQ1PHGCPvu3Mz+3GdfVjnpD88DG8nCpk+SMLHYk3yhQlcUaxYp999hn7zNfXl1nsyKpEFjESZZS4Qa5RgqxylBBB1jCKxysoKGDCjlyjrq6u7D3Ft1GJFRJ2JNYoQYL+t4bB5UmWMbJmmSY4TJs2jSVWkEUsNDSUbeu9995j7t7HWfqEYgLfeustlgxCFkqKD6RYRhJstlDemJpa/2jbZPE0uL4toSQQivujuEcS2BR3+MUX+rpcFcmCtpVrN5W4fD0Xr0+tgdUbkpGVq8G4QR7IVWpYnJ6psKMstJi7emFy9FwWRg9wx7yXa2HNpmS27PnhXoiNz8fR8/q6cldv5OH0pWy8MMobcqkQcfcK0LO9MxoFKPDpj+XHdPYb+SKWfPIiVn73Btr3GIbY65ewf9tqDBn3KiupoMzLQVJ8NDx8asLRyQ31GrZCULP2+GfVfOYeJuvh1fDDOLLnL4SOngk7h/IL4VYUKncSEV2AmWPc8OeuTJb9OqK3E7vR7TuVaybsKMOVavkRpy4rMbS7Iyv0/Nce/Xg9288JdxJVOHXF9pIuZbHtSA7enOiKWaOcceSCkpUoGdDJDv/sy0GhSu8WquFJ2cpqZOfpb4RbD+fihWHOyFFqcfF6AStUTDN+LP2n7JqMFWXf+UJMHyLHxL4ynIlSsxi97i0l2HlSxYQrWSq83YTsxpVbpKHDzqnwbC8Zm8nhWqy+yHNwoBi/7jUX2b7uBivTwwur7cfy8Pp4Z8wY6YSjF/MRWFOMfh0U2LA/F4VqvUvYz1PExElO0dhtO5KLKUOdkKvU4eKNAgQ3kKFtEzmWbdDvX7JQTRrkwALxqcg2tTclPYtEbOWIQXLdOjQOZKKPsnWJm5/9gBYr5kOVloH72w7Ae0gv+I0eiPBxxclt0QuWs1lA2mxfjtjvV8G+QR1WH/Du8nU21fgj9pzOx+xn7DFlkB1zJVLR4l6tpdh6VF+jjqx4FO9Igi+nyGK361Q+K+pMY0flfEjUhwRJsXJ7nlEU7T1bgEEd5exYpdp3NPvFwA5yXLqlwo27touX3sOn4+fPX8CvC+eiTfcRiLtxAYe3r2L1+ui6Qkkh9xOi4e5dkyVsJNyOxMFtK1CzXlO0aNcPd25dNtued40Atl6XARNwaMcqtqxBsw5IT7mHvRt/hKuHH9r3fMbm/u08ocScZx3x4jAHHL9cgIAaYvRpJ8emQ0rj+Pl6iFiogGH8dhxXYlKoA3t/+aYKLepLWMH2XzbnGMdv10klBndRsPG7fkcFfy8RBnVSsJqAV2MqHhtbGeiewjItVVr8UQIFJWFQzBolPVAmKr0SZFUjAULZvCTgqJwLJVmQ1erevXssyYDKn5AgIxFIYoYE2y+//ML+JysfWaYoXi0xMRHOzs4s5o8SS0rD4PKkpBFTFyzFA1JmLmUPk/WMMlxJQJW1rUcBiTeKdaQkGXL1UnmcivShvDE1xEPSONF6pq5vS2hMrl27xjKFKUuaBCiNOVnvyKJLCSuVzefL4plAo9k4BEIg8pYSX/6SYDa7B83KQUWbX3hP775Qq3X44Ps7mDbGG7PG04wdZA3MwfJ1yWauti9/TsDYQR6s2LOzo4jVAvxiWTzOXi6/lE5Q03Z44fVvWbzeL1/PgbObF4aNn8umdyPuxkZi0UdTMX7mJ2jfXZ88M+2N77Dznx8RtnkFMtMfwNO3FsZO/x869rRuaa0MqAYfTdM2bqAzc//eiCvE4j/SzOK8Jg3Vz4RhmJqNLsZfrEzFxEHOmDrchY0fWQN/25H5UK5Ka0TGqrDk70w2Rdkrz7ogPVuDdXtzsPuk/oZax1eMtye5YfnmTOPUbPRKIpWmH+vaUsHEzc8bM41FiiuLWwlarNldgH5tpZg8QMbikLafKDTW46MYrpnDFPhrfwHOFk3fRq8UiUFZvG0bipk18I99BWx2D1McFaXHR9lK1G0Vlv6TxYo9zx7txCx0/+zLxd6i6d1q+4rx1kQXrNySxW7QBL2Kxdno116BzsFyZgmkcjhnI/SfB9aUsDhX4vXxJbPdtxzOxdYjZU+9ZytOLZugw/5fcWnq24hfu4kto1ehTIp6r02B/6SRzBJINQIT/9llbJd7PQanB0xh07u1+nsRE46xC1fjxrxFNn83CTFKxAjtIMe0IXZs324+ko8DRdO7USLOq6Md8OvuPOP0bfQqFimZSOzQVMrK/qzZlYdwk9p1e04VMKHdNViKzi2kTCgeu1yInRUsUFy/SXtMnPM99q7/Aau/fRnOrt4IHfcGuodO0o/T7Qgs+3QyS9ho0204y+wlKyHN6kEZvJZQckdg47YYNO4NOLt54+S+dTi8czWcXDxZoecBY16Fwt72B8/rcWr8tCkHgzsrMGOEAzJytNhwUIl9RVm5tXzEeH2cE0vYOHlFP6b0KhblsqnbqIQLWQNXbsvBuahig8HOE/ls/LqHyNh69KB65EIBth2rnIfNh0FbTd2+Al1lpc+ZQPXiyFJUmluR89+bHs5WBk+v/FIxlcW2nxoh7NKTqzdVFn1ayPDcO2UXpX6S/P5FDUyaZ3vZj8fN6nneeH3p4wvjqAjfzLTH1E8eoKqy4gNP7JAU1wCtaoSqrmP2t+ZF3KsSS+Y6Y9v5yolVrWwGh4gxfX4aqio/vf3oJ09Yf7pynnSfafd0zZnxn5zejcPhcDgcDqc8dNXU8sfFXxlQ0gXV6ysLcqMaCin/V/vA4XA4HM5/ER0Xf5XHvy0EXFWgTNvNmzeXuQ7F1/1bqEQN/T3JPnA4HA6Hw6kecMtfGchkMqt18KpbHzgcDofD+S+ifQpn56gMuPjjcDgcDodTLdFVU7fv05WewuFwOBwOh8P5V3DLH4fD4XA4nGqJrppa/rj443A4HA6HUy3RcvHH4XA4HA6HU33QVdOEDx7zx+FwOBwOh1ON4JY/DofD4XA41RIdd/tyOBwOh8PhVB+01VT8cbcvh8PhcDgczhNCq9Vi0aJF6NKlC4KDgzFt2jTcvXu31PVv3ryJF198Ee3atUOHDh3wyiuv4N69exX6ToFOV12NnhwOh8PhcKozqw5WznYm93j4tkuWLMFvv/2G+fPnw8fHB19//TXi4+Oxbds2SKVSs3XT09MxePBgtGrVCrNnz0ZhYSFrl5aWhk2bNrFZwWyBu305j5U3fsxDVWXBDDsMm3kDVZHNSxvgx92osszoD7z0ZTqqKsv+zxXTPk9FVeSXd92Rv3kRqiryYa9g9reZqKosmeuMHZIgVFVCVdfx4VoVqiIfTZRg0rz7qKqsnuf9yL9D94TNXyTeVq5ciTfeeAPdu3dny7777jtmBdy7dy8GDRpktv6+ffuQl5eHr776CnK5nC0jsUhtw8PDmSXQFrjbl8PhcDgcDucJEBUVhdzcXDPR5uTkhMaNG+Ps2bMl1qf1li5dahR+hFCol3JZWVk2fy+3/HE4HA6Hw6mWaCvJ8terV68yP9+/f7/V5UlJSezV19fXbLmXl5fxM1P8/f3Znyk///wzE4Nt2rSxub/c8sfhcDgcDqdaotNVzt/DolQq2atlbB/F7hUUFJTb/tdff2XxguQ2dnNzs/l7ueWPw+FwOBwO519QmmWvPAzuW4r9M3XlkvBTKBSltqNc3YULF+LHH3/EjBkzMGHChAp9Lxd/HA6Hw+FwqiVa7ZP9foO7Nzk5GbVq1TIup/dBQdYTmVQqFd555x1s376dvU6aNKnC38vdvhwOh8PhcKolT9rt27BhQzg4OOD06dPGZZS4ERERUWoM31tvvYXdu3fjm2++eSjhR3DLH4fD4XA4nGqJ7gmXeqFYv/Hjx2PBggUsZq9GjRqsdAvV++vbty80Gg2r4efo6Mjcwhs3bsTOnTuZAGzbti0ePHhg3JZhHVvglj8Oh8PhcDicJwTN0PHMM8/g/fffx9ixYyESibBixQpIJBIkJiaic+fOTPAR5OolqM4fLTf9M6xjC9zyx+FwOBwOp1qirQJznJHYe/PNN9mfJVTW5fr168b3VBC6MuDij/PEaeAvxIB2Eni7CpGj1OH4VTUOX1KX2SY4UITeIRK4OwmQlq3DwQsqnLuuYZ+5Ogrw3vjSs6TORqnx98HCCvVRLhNg4jBPdAh2gFwmRMQtJVasT8a95LIr9zs7ijBlpCdaNraHSAScv5qLVRseID1L31eid0cnzB7vU6LtjkMZ+GVdcrl9i4s6hhPbv0Nq0i3YObqjRZfn0KrHFAgEgnLbJsdH4K9vRuH59/fA2d28dtS10xsRfmAlMlLiYO/shcZth6Ntn5cgFFXsstGojhhDuyrg5yFCVq4Why8UIOxM2SUMWjeSYGBHBTychUjN0mLPqXyculr6PhvVU4FebeQVnmWkcV0Jhnezg6+nCNm5Whw8n4+9p/PLbNO2sRShnRTwcBEhNVODXSfzcfKK+e/p2EyGvu3l8HQRIS1Lv90D58rerjVO3LiDJXtOI/p+GtwcFHi2QzNM7Bpc5r49Enkby/adxa2kVDjbydG7WQBe7t8edlKJcZ3Y5HR8t/MEzsUkQCQUIqSeH94I7QR/d+cK9a9hbTEGd5LB112ErDwdjl4swP7zZZ9bIUES9G8ng7uLEGmZWoSdLcDpCPPz6JNpjnB1LOmY+r+lWcjNr9jdWl7DG10vbse5kbOQduRMmev6jQlF4DszYFevJpS3E3Dr65+R8Otms3WcQ5qi0ZdvsVd1Vi7i127EjY+XQKeq+CweAb4C9GophKeLALlK4Mx1LU5E2JaB4OMGvDhQjEWb1MjIrfjn5dEkQIqRPR1Qw0uMrBwt9p/Nw+4TZc/Q1K6pHEO62sPTVYSUDA12HMvF8UvWj3u5VIBPZrhjy+EcHLtY8XOjstBVmt+3/OttVeKpE380rx1NbzJq1Cj2ntKbyUdOc9s9aWguPir0uHbtWjbh8ttvv42EhARWh6c8KrLuo4DiCChryPQJ43FQy1uIKQNluHRLg91nClDXV4TQDhJQwfKDF6wLwGb1RBjXW4pjl9WIuqtB07oiPNtTBrWmABdvaZCVq8OijSUvJp2aiNEiUITTkWULS2vMneyLBnXlWLspBXn5WowZ6I5P59TEy5/cRq7S+sWafsP/ZtWAnVyIZX/eh1gkwIRhHpj3sj/mfhEHTVGzuv5yxCcVYtFa84KeGVnl9zPx9kVs+fklNGg5AB1CX8W9mPM4uvVraDUatOnzYpltU+7dwJafXoRWW/J7Lhxag8ObPkf94H7oPPRNKHPScXLXIqQkXMegqYthK3X9RJj1jAPORRZi61ElAv3FGN5dAaEA2HPaugBs2UCCKYPtcfBcAa7FqtCivhSTQu2h1uhwLrLkDZa22aO1bfNZmlLPT4yXRzvibEQhNh/JQ/2aYozsacf22+6T1m9GrYKkmDrUAfvP5uNadB6Cg6SYMtiB9Y22Q3RuIcPzoQ7YfVKJa7G5qOcnwejeduxmt/OEvqaXLVyOS8LLq3egX/NAzOrbFhduJ+K7XSeg1moxtUeI1TaHImLx2tpdGNQqCK8O6ICY5DQs3n0K6blKzB/bl62TlJGN53/cgDoermxZvkrNBOZLK7Zi/WtjIZfYdluo4yvCS8PsEH5dhe0nChDgJ8LQrnIIhQIm6KwRXF+M5wcqcCi8EJGH1WgeKMaE/nZQa/Jw/rp+39rLBUz4bTqsRPS94ockQllQQeHn74O2O1ZA4uJU7ro+w/sieO0CxC5eiwd7jsJnaG8Er/wS2oJCJK7Tu9MUdf3RbvcqpJ+6iPCxc+DQMABBn7wGiZsLrs76sEJ98/cQYFxPEa7d1uHARQ1qeQnQJ0TIjr9jV8sWgF4uwHM9xRDRifQQn5dHgL8Er41zwZmr+dh0MAf1a0kwuo8DREJgxzHrArB1Ixmmj3RC2Kk8XLlViFYNZZg23JmdG6evmh8PdnIBXh3rwkQi58nw1Ik/8nOTyDKIv8WLFzOTaVXkvffeY8GaTwMDBw5kcwk+bvq1luBeihZ/HtDfOK/f1bILTK9WEhy9rIbayvCRlfBytAZbT+hvFjfuamEnE6BfGwkTfySq7tw3v3jW8BAw4bfrtAq3kyqW2x9UV462zR3w8ZJ4hEfoL3xk+fvp47oY0M0F63enWW3XqZUjAmrJMfvj20zcETHxBVj0fm10CnHEkbPZbFldfxluxeXjxu2KP/2e3LUYnv6N0H/C1+x9nUZdodGocTZsGVp2mwixtGTwr0ZdiItHfmNiTiwuKZq0Wg1O71mKWkGdEDq5eM5ZL//G+O3LwYiLOo7aDTvZ1L9BnRW4e1+D1TuKxi1WzW5I/TsocOB8AVRW9C1ZCcOjVPjngNLYhgTBkM6KEuJPJgGeH2iHjGwd3JwqdqMb0lWBO0lqrNyWw95fi1GxvpHFkcSdtb4N726H85GFWLdP/3tInFLfhna1M4o/an8usgAbDurXibqthrebED1ayysk/paGnUFDPw98/mwf9r5TUG2oNFqsOHgez3VuYVWkLdh+jFn6Phmtn22gXaA/tFod/jh+GcpCFRRSCX4MOwsHuQw/TRvC3hM13Jzw6uodiIhPRqu6fjb1L7SDDPHJGqzdrf9NkbfVEIkE6NtWhkMXrO/bwZ3kuHBDhY2H9cd6ZJyaCYHQjjKj+PP30lv8Lt1SIyXzIetwCATwnzAMjb78P5sNMkGfzEXi+t2IfOML9j4l7Bgkrs4ImveqUfwFvDkN6uxcnBsxk1n6Huw+Ao0yH00XfoBb85ch/26izV3sESxEUpoOG4/rL3K37unYta9LUyFORWqtXvvo83YNhejRQgi1tuKf28qw7vaIS1Tj50366cJIzNG5MaiLPfaeyrO6b0f2csDZawX4c4/+fLoaXQh7hRDDeziYib/gIBnGD3BkD0NVAV0VcPs+CZ66hA9LE62LiwvLcKmKUL+of08DlCHk6en5WL+TLlQBNYS4Emt+lSNhRxeGur4lD09y6Xq5CHHVShtPFyE8nK1fUEZ0leJ+ug5HLlfc6kcuW2W+Fhcji594s3I0uHYrDyFN7Etv18iOiT6D8CMM703b1akhRWx8+ZXcLVGrC5Fw8zQCm+nFgYH6LfqhsCAXCTHnrbaLjTiC07uXoG2f6eg85I0Sn+dlpyA/LwN1m+gnGTfg4dcACntXxEYcsql/YhHQoKYYF2+YuwHDrxdCIRMwi50l7k5C+LiLcPFmyTZebiJ4uZofEyN62DFLr6Xb1aa+1ZLggkXfzkcVQCETItBfUrJvzvq+lWxTCG+Tvi1al431B8ytI3Qjl1TgGbVQrWEu2Z5N6pkt79MsALkFKlyILSkyIhMe4G5qFsZ2bGa2nITijv+bwIQeXT/3X43GsNaNjMKPaOLvhX3vT7ZZ+NH40f4jgWYKCTvatwF+JfctiXMap8sWbS7eUMHLVcTOX8LfU8QsfA8t/Ghu1OZBaPrDR4j/bTMuTnqr3PUVtWvAIagukraEmS1P3LgH9vXrwC6wNnvv2aczkncdNnPxJm3YDYFIBM++nSt07avjLUDkXfP72bU4Hbv2kRXQGvVrCNCtuRBHr2oRdl5T4c9t3bcN60gRHmX+MHouIp+dGw1qmc9EQXi4COHrIbbaxsddzPY7QUL/lTHOiLpdiAW/VSxE41HW+dNWwt/TxhMRfzdu3MD06dNZDZumTZsyV6lpEOPRo0cxZswYtGjRAl27dsV3333HLGjkGt20aRPOnDljLH5Ibl9aThMjt2zZEn/88YfZdy1ZsgTdu3eHVqtlF75ffvmFfR9te+jQodi6dWuF+k7bWLNmDfr164fmzZsjNDTUmH1jCfXLtOp2XFwcq8QdEhLC3MJz585Famqq1bafffYZG5/Lly/b1C/6fT/99BPrF41pq1at8MILL+DOnTvGvhispQbIzUw1hk6cOMHcvqYFJcvbR5UBxeuRK/RBhvkF0HDRJ5Fniber/qL4IMP8bEvJ0r+n2Blr8YG1vUXYerzwoZ7y/H2kuJ+qKhEYnPhAhRre0jLb3UsuGf9k2s7HUwI7hQiBtWX44cM6WL+4Pnvt3q78B5qslLvQaFRw9apjttzFU3+jSk+OtdrOp1YzTPnwANr2nQGBsKQikSmcIBSKkZ12z2x5fl4m8pVZyEq9C1ugG4JELMD9dPN99aDoveGGYNY3D/0+v59WfhuKJWzfRIo1O3MrvF8pXo/1zeJ7kou+h0SeJRTXxvqWan5TTU7XmLVJStUgtegYppsduYE7NJPhULjtlt341Exm5avtaf7wWKsoJu92Sskb5/V7KexVJhFj9qrtaPveMnSZtxxfbT3KxCSRkJ6N7PxC+Lo64vPNh9nnbd5bhlfX7MD9DL3FxhZICNP4GX67gQcZ+vdebiXPXZ+ifXe/RJuifVsknmt4iZCXr8MLg+3w9SwnfDPbCZNDFXCyt91SpLyTiEMN+yxmQ2EAAI44SURBVCDyzfnQ5JU/7uS+JXJv3jZbnhcdp/+8QV0I5TLY1fFH7k3z86owJR2qzGy2jq24OpLIEiA1y/zApfhlwqMUK3ZCig7fb1TjyBWt1USF8j63BXLF0r6l49iU+2lFx7mHlXPDQy/2y2tToNLh3R9SsXxzFnLynkLF9B/isYs/msduypQpzCL2119/MeHUv39/fPnll4iMjMSFCxfw4osvMoFEguTTTz9l6y1dupS5UQcMGMBE3rFjx8y2a29vz7ZjKcS2bdvGRJ5QKGQi8s8//8QHH3zAlk+cOBHz5s3D77//bnP/ly9fzrZDwoq+69lnn2X1dk6dOlVmOyra+Nxzz7EpXEg8rlq1igmzOXPmWHVtb9myha1DAtMWKM6QUsNJ5O3Zswc//PADbt++bYyFHDFiBBOSBjFoGBuqJdS+ffsK7aPKgpIoiIJC86tUQdFDtcyKrjK4CvItNFVB0XtrroTuwRLEJmoQfe/hLjYUs5dnJa6PrIEKeemnEIk6ig8s0a6guB25fAlvdwlLBPl0aQJzAc953hd9OpUdfF+Qr3cbS+UOZsulMr1VsTDf+s3cwcUbcvvSLdISqYLFEF46+huunVrPRF/a/RjsWjMXQqEIqgLbXJdkASLyLeK08ov2t7V9VX4bGF8nDLDHtmNKo2CrCHalfU/Re0M/zPom1y9TFtr2e+rVEGPhXDcW/5eQrCk3kcSUnKID3MHiJLArep9reQKQ2KeMAYDF/AV4u2HJlEGY0r0V1p++hv/9s99snYU7TyA5MxdfjuuLD0f2QGRCCl74eTPyCm1LWjDuJ8tzt4zzsLiN+fJ8lfn1gCx/Lg4C3LmvwbLNudh4WIn6/mLMGW0PqY2BSqr0TOQn3Lfd2uWsP4fUWebnDLl42edODpA4O1pdx7AerWMrcknRtc9iuA3DT+EM1shW0vFX+nbL+9zW6521+ErDvrZ2btBDTtlt9NukKChLgVjdizxXm5g/EhYkukgIkWAz1LghUUXJBkeOHGFWORJUREBAAD7++GNmITMUMKTaN9ZclMOHD2fbJosWJYGQ2CEBRMInLy8Pq1evxrfffsssgQRNpULrkmii/thq9aPvME04yc/Ph1pdtjuR6u+QdZK+39lZf1MnYbtjxw4mCA2QsNywYQPra+PGjW0eV/otJM569OjB3tPvJ8FGVcAJsuDVrFmTWTpnz55dQhhXZB81atQIlUF5z/HWTqjyElgt29T2FsLfU4hVu2xzC9L2Lb/DYngsvq/0s76svhqaRdxUMsF35UaeUQSTe5myhMcOckfY8cwytlG26BEIHv7ZrueYjyASSxH21/sI+/M9iCVytO49jbmTxdLSM6nNv7/sz62NXbnHRNErJVCkZ1EGYsXd5bb0Tfsv+maAMoG//i0THs4iDOumwNvPO+PTFRkotCHywNr3m/XFyg8gSyHRs0ldvDawI/u/bYA/29ai3afwUu+2UBVZAN0c7fDthAEsOcNgUZywdAN2XriBZ9o1eaLn7p9hyqK4XX1foxM0SEzVYu6zDizT+tjlf6lurCAo6ySnvpFfr9x1bFcA5Y4FnhwVvcbq2wgeU0btf7PUS7UQf1TBety4ccyaRNOXkCUqKirK6Lokd2OnTubB5OTKtAUSOFQTh7ZNLksSOuT+rF27NhOCNFHy66+/biZ2SLSR+CIBV15lbMo0pmraJE5NmTZtGnulRJTSoN9Vp04do/AjyOVKfwYuXryIs2fPsjEyzPdnKz179sSlS5fYRM+xsbHs79atW/D29jaenMOGDWOCj8QfjT19ThbViu6j0iDXcEUmvjY8FcosrAQGY4cV44bRMmNpFTRYhCwtEc0D9C6kyDu2PW1SFu+zoe5my46HZ8PZUWyzRdAAWf0MT7wl2+n7k5mjwbmrJeswUEmY4Eb2cHESIcOkLIwpMrneElGYb97eYPGTKmy3RFhC1sM+4z5Ht5HvMfevo5sfW3bt5Hq4eOjdyuVhsAJYWoEMFh5rmZu2tGkWIEHrhlJ8sTZLL9ZNblikZdiT+GPsm6LovdKiBElmjg6ZOWrcgJq5Q9+a4IyQhlKcLKNkjQGHogOa4vtMyS0yrTnKSybq2BeZi7o2Mg8D6BRUi4m/qHsPUNfTlS3rHFTLKPyI5rV94CiXsnVsQVnKuWvT+Emsn7uGz8lKb0nMPQ07j+lB7lGgztRb0cWO5jG8BmueOjPHaPGzXMewnmEbtmC4TllaMg0WP4MF9Ulg8FaUOM6L9i3tB2tekIq24VQz8UfiieL5SGCQYKGq1M2aNUO3bt30HRI/fJdMBQ65ZXft2mV0qxqePL7//nvUq2ceRG2YYqU8yOL4sNjyu+zs7LBs2TImUMkqSPP22crPP//MXL1k/ezQoQOb74/EFlkWDdBnFAN55coVZok0COOK7qPKguJdNFpdiSQNqu1GWHPnJRfFB3o4CXEvRVOiDSV1mNK4toglh9gakLvnWAbOXjF367Rr4cCSN0hgmD7A+npKzZI5LEm4X4h6RW5dU3w9JbhZlNnbOEABbw8JDp7WZ9UZkEoF0Gh0yMktXbQ6e9RiMXtUh8+UjBS9a9/NWx/H9DDEXD0IuZ0T/OqFwN23PluWl52K7MwklvVrCxSnR/vX0yJJw5AYkZRacqcYYvCozd1kTck2KVoM6iyHVCLAh1NLusWXvuXKkj/W7Cy7HhnFqlnvmz42KdHk2DKQVBS/ROtQBrOxTVEsW2Kqht28qTRNbKLaGKdIUFYx4Wyldp01aro7s+zKu6kZZsvvpOotwXW99CLOlFoe+vEwxPcZUBdZBCk7uKa7EzuOLddh62m1kNl4/U3JKNq3FnG5hveGWC9TDLGftE78g+KxoVqIhvElIRhcX4K4JL21z4CgKBEhW/loRETODX0cn11AbWRdLA5tsQ/QXx9zoqKhyc2DMj6JrWOK1NMNEicHto6tpGeDjR/FPZs+qrg5FsU0Zz45sfSg6NywjMk1HucpJU3XdOwT1MZwrJfXpqqgq6a69LHH/JE1KSMjg8XezZw5E3369EFmZqZRoJGbl8SJKeRqNbhZyzMvk8AhixbFqpGblWIECRJ8JMDu3bvHBI/h7/Dhw8zta+n6tAa5nb28vEr0j1yiX3yhLw9QGoGBgcwFnZ1d/HR47do1JtSSkvT13Ro0aMDiGSkOkcaJ6hnaConGWbNmsbYk3IKDg9n3mZrbyRVMiSYUE0jCmNzhD7OPSoPEZll/ltD9JzZRy+r0mdK8nj7b706y1qpgpKK/ZNGzrP1HgePpRQHThEKmv9HcTrI9xiQ9U4PoOwVmf+SGpfg9EoAGnBxEaByoMMsAtuRiZC5L+qA/A/R/TV+ZsV3TBgq8+rwP/LyKHyzoEO/Y0hFRMUqr5R4MiCUy1AhojVuXw8z2y81LeyBVOMKntm3xota4cvwvHNnyVYnaf0KBCHWb6kMLyoP6fvOuGi0bmD9Y0XuyLpBAsoT2IVnJqJ6eZRsSFLTvtx/Lx+drssz+qLgwQf/T5zb17Y66xPeQZY76dvuelb6la9mNkdYxhbZxvyjJg3TWxFAH9Gtv7hpvXE/fhkqj2AIlbVDm7f6rMWb7dt+VaGaha1rTq0SbkLp+UEjF2H3pptnyQxG3IRYK0byWD4sZDCnarqkAPH3rLpSFapuzfanprXgNggPNH4hJuJGVx9o5R4KR/oIbWLYRMzGelqVj2x3dU8HKxZjSLEDMBD8dT4+CvOg7yIu5C98R/UrU/iNhqIxL0P+GfcfhNbA7hCaZ0j4j+kGrViPlYNlx36ZQGZa4+zo0qmV+P2tcW8CsqpS48aSgMi7X41QIaWS+D1o3krNzIyahZFxocpoGyelqtG4sL9EmKVXN9ntVRafVVcrf08ZjF3+UYEAxZRSLRkKMEjco65Ug9ytZ7Mj9Se5LEi8kzsg1aYjTI+tYcnIy7t61nnFoEDhkNevduzccHByMwo2SM2i7lExB7devX88mUCZBZyuUjEJilLZB7lBKtCBhU57Lc/DgwczlS9O3kAv16tWr+PDDD5ngozExhTKcBw0axIScQXSVB7mJjx8/zoRvTEwMix3cu3evWTyhQRxTRjSJO4Mwrug+qkz2nVexQs8T+krRsJaQ1errFizG/nAVuwiRJYU+tze5poSdUyE4UIwRXSQIqinEiK4S9n73GfOLkq+bdWtgRaGafhST99pkXzYbB1kCP3rFH7lKDXYdyTATdoYEDuLY+Rw2AwgVeu7S2pH90f+3EwpwLFz/ELDnWCbSMtV4b0YNdApxQOum9nh/Rg3U8pVi9SZ99mZZtOs7A0lxl7Bz9auIjTiMEzu+x/kDK1gZF0rcKMjPYYWg83Ks1yIsjeBuE5B0+yIOb/wcd2+ewokd3+Hsvp/QqsdkuHjUsnk7u07ko46fCNOG2qNJPTEGd5GjTzsZK6JM+5csPVQI2kFRfBPceTwfrRtJMbaPAo3rijG2rx17T0WiCRKAd5I0Zn+ZOfqbC/1Pn9vCjuN5qFtDjOnDHdC0noTVF6RZOagWH8XlkQuLCkE72BX3bfsxJdo0lmFcP/o9EjzX3569pyLRBImXXSeU6BIsY9ujGTB6t5GzItURsYW4Gm37LBDTerbGlbv38ebve3AsKo4VYl5z5AIr8ExlWigphApBp+Xox4WE3cw+7bDr4k2WyUuC7qd9Z7HqcDjGdWrOZgghXunfAQ+ycjFr5Ta23S3nIvH2n2FoVtMb3Rubu4zLYs/pfNT2FWHKIDs0riNmtfp6tZZi75nifUuFoE337a5T+QgJkmJ0TznL1h7TS87ebz9eYBy/vWcL0KaRFCO6yRFUS4QeraSsEPSlWyrcuFs5yQLkunVp1wJSj2IL6s3PfoDf6IFouvhDePbtgqZL5rH3N+YtNK4TvWA5ZF7uaLN9OROBdedMQuMF7+Du8nUVqvFHUEYu1R8d3VWEQD8BegYL0bGJEEevaKHS6K99VAjaruL1y/81247koJ6/BLNGOaNZoBQjethjQCc7bDuay5JSyL1PhaAdTc6NrYdz2QwfE0IdWZuJoY7s/cYDtmeRPwm0usr5e9p47G5fSkIgixdloebk5DCxRlY9ElBkUaNJjcl9uWjRIlaWhYQZJR9QiRSC3LphYWFMHJG4sQZZtCj71tKyRTNYuLq6MgFIApIEE1ntSHDayvjx41l8IG2D3KMUx0dCq23btmXG/CkUCmZhJAshiVCKLyRB+3//939W1zdkNpP7lwRqeVCGMCXGjBw5kiVpUFziRx99xAQkCTg/Pz9j/CStZyqMH2YfVRa3ErRYu6cQfdtIMKm/DJm5Ouw4qTJO70YxPjOGyvHXgQLj9G30KhYVolsLMdo0FDOLwR/7C3Ap2vzGYLgw5VVwVgBrzP/pHqY844lJIzyZZS4qOh9fL082m93jpWe94OUuwYsf6F1IarUO8xbHY+ooT8wc580q3ZM1cOX6B0Y3dGa2Bu9+excThnpg2igvlgV8My4f/1sUb3QNl0XNBh0waPJinNq1CNuXz4K9ize6DHkLIT2nsM+T717DhiUT0WfcF2jSzrql1xq1G3ZG/4nf4MzeH3HlxN8s5q/7yPcR3LW4dJEtXL9DhWJzmav2peEOyMjRYuNBJfYVJWrU8hZj7jhHrNmRa4yFo1dy8fVpK0fH5jJmNVi1PRfnoyo+fVZZRMWpsWxDDiv2PPMZR2Rka7F+fx7CzujHvZaPCG+Od8aqbTk4UVRHkF7JM9q3nYKVcCEr5Yqt2WwGEwM7jitZGQsq6kzrZedpcTi8AFuPlu2KtoQKNH8zfgB+DDuDOWt3wsvZgSVyPN+1pbGuH2XofjyqJ4a21idh0dRvTgoZ1h69iI1nIuDpZI+ZfdpicrdWxu22qO2D5S8Ow+I9p/H6b7uZO7hHk7qYG9qJTfVmKyTElm/LQ2gHOaYNsWMxjpuP5ONA0fRuNb1EeHW0A37dnWecvo1exSIlE4kdmkpZWac1u/IQfqN43+45VYCcPB26BkvRuYUUuUodS/LYWcqsKw+DU8sm6LD/V1ya+jbi125iy+hVKJOi3mtT4D9pJLMEUo3AxH92GdvlXo/B6QFT2PRurf5exMq8xC5cjRvziouh20pskg5/H9KgR7AIY3vQ9HhA2Pni6d183QSY3E+MTcfVuBj9eNVFZKwKS/7OxPAe9njlWRekZ2uwbm8Odp/UH8N1fMV4e5Iblm/ONE7NRq9UvqZ/Rzt0balg1tyfN2bizLWHS8riPFoEuqqchsP5z/HGjxW7AT5OFsyww7CZN1AV2by0AX7UJ25XSWb0R4Xn1X2cLPs/V0z73HpNzSfNL++6I39zxcXD40I+7BXM/tY2D8STYMlcZ+yQFNcorWqEqq7jw7WV++BSWXw0UYJJ82wvifO4WT1Pn7D4KPlyfeW4pP/vmadrzoynbno3DofD4XA4nMpA+zT6bCsBLv6KIBeztbInprz77rslZsl41FDRayq4XBbkyjUUc+ZwOBwOh8MpCy7+ihg9ejT69u1b5jru7ub13x4HVOh58+bNZa5jKMTM4XA4HA7HdnTV0/DHxZ8BysQ1LcBcVZDJZFZr8XE4HA6Hw/l36Kqp+Hu6IhQ5HA6Hw+FwOP8KbvnjcDgcDodTLdFWU9MfF38cDofD4XCqJbqqO/nII4W7fTkcDofD4XCqEdzyx+FwOBwOp1qi425fDofD4XA4nOqDtpq6fbn443A4HA6HUy3RVVPLH4/543A4HA6Hw6lGcMsfh8PhcDicaom2ehr+INBVV5snh8PhcDicas17KwsqZTufTZHhaYJb/jiPldnfZqKqsmSuM15dmI2qyMJXHTF9fhqqKj+97YYfd6PKMqM/8PnfGlRF3h0jwtu/5KOqMn+aHNvOq1FVGRwixodrVaiqfDRRgh2SIFRFQlXX8dWGqpvx8NZIHpn2qODij8PhcDgcTrVEV019n1z8cTgcDofDqZZoq2nQH7epcjgcDofD4VQjuOWPw+FwOBxOtURXTf2+XPxxOBwOh8Opluiqbr7LI4W7fTkcDofD4XCqEdzyx+FwOBwOp1qi5W5fDofD4XA4nOqDjos/DofD4XA4nOqDtpqWeuHij1MlaFhbjMGdZPB1FyErT4ejFwuw/3xhmW1CgiTo304Gdxch0jK1CDtbgNMR5pX+P5nmCFfHkqGt/7c0C7n5tp30QbVEGNRRBh83IbKpb5cLcTC87BkFWjUQo29bKdydhUjL0mLfuUKcjTSfJcHLVYghnWWoX0MEjQ6Ijldj89ECpGZV7GLUqI4Yw7rZwc9DhKxcLQ6FFyDsTNkzRrRpJMXAjnJ4uIiQmqnF7lNKnLpqPt4dmknRp60cni4i9hsOhefj4PmKTYUUF3UMJ7Z/h9SkW7BzdEeLLs+hVY8pEAgE5bZNjo/AX9+MwvPv74Gzu7/ZZ9dOb0T4gZXISImDvbMXGrcdjrZ9XoJQVLFLWl1voFtzITydgNx84PwtHU5ft238vV2ASX2EWLZDi8w888+a1RGgfUMBXOyBrDz9ds/drPhNpn4NIfq2EcPbVYAcpQ4nr2lw9ErZM5W0CBCiZ0sx3BwFSM/W4dAlNcJvmke1h9QXoUtzEdydBOx8C7+hwcGLmgrPc3r98nHsWrcQ9+Oj4eDsjk59xqJb6KRS969aVYjDO1bj3NGtyEhLgoubN1p2CkXPIS9ALJYa17t6dj/CNi3Dg8RYOLp4IKTzEPQcar6OLQT4CtCrpRCeLgLkKoEz17U4EWFbhL+PG/DiQDEWbVIjI7fin9uKvIY3ul7cjnMjZyHtyJky1/UbE4rAd2bArl5NKG8n4NbXPyPh181m6ziHNEWjL99ir+qsXMSv3YgbHy+BTlWxWVDibx7H+b3fIz35FhQO7mjcfhyadp5s07mbci8CW5eOwajXd8PRtYbZZ3/O7468rPsl2jz33gnI7V0r1EdONRZ/ixcvxqZNm3DgwAFUBXr27Inhw4fj5ZdfxsaNG/HOO+/g+vXr5baryLqPgvj4ePTq1Qtr165Fu3btHut31/EV4aVhdgi/rsL2EwUI8BNhaFc5hEIBE3TWCK4vxvMDFTgUXojIw2o0DxRjQn87qDV5OH9df5GzlwuY8Nt0WInoe+Y3TGWBbXe52j5CvDhEgQs31NhxsgD1/ERMsImEAiborNGC9UWOIxdViLxdgGYBYozvq4Bao2TbIVwcBJgzyg7J6Vqs2a2EVCzAwI4yzBhuhy9/y4XKxpnI6vqJMHuUI85FFmLrESUC/cUY0UMBoRDYc8q6AGwZJMGUIfY4cK4A12KUCK4vweRBDlBrcth2iE7NZZg40B57TikREZuHun5ijOplB7lUgF0nbZuKLPH2RWz5+SU0aDkAHUJfxb2Y8zi69WtoNRq06fNimW1T7t3Alp9ehFZbclqxC4fW4PCmz1E/uB86D30Typx0nNy1CCkJ1zFo6mLYip87MLqLEBF3dThyRYeaHgL0bCGAUACcjCr7+PB0BkZ3FbLjwJIW9QQIbSPEyUgtYpN08HMXoHewAFIxcCLSdnVV00uA5/tJcDlGi7BzatTxEWJAOzHbt4cvWT9AmtYRYkwPCU5c1eB6vBZNagsxursUak0h2w7RqYkIgzvSdjXYeVoNBwXQJ0QCX3chfttnu0CIu3kJK7+eiRYdBqD/qJcRez0cO/78hu2znkOmWW2zee0XOH9sG/oMn46a9ZrhbsxVhG38ERkpiRj94idsnRtXTmDN96+iRfv+CB37GpLib2HnX98jNzsdwye9Z3P//D0EGNdThGu3dThwUYNaXgL0CRGy8Tt2tWwB6OUCPNdTbHX/2vK5rcj9fdB2xwpIXJzKXddneF8Er12A2MVr8WDPUfgM7Y3glV9CW1CIxHU72TqKuv5ot3sV0k9dRPjYOXBoGICgT16DxM0FV2d9aHO/ku9cRNjaGajbrD9C+ryCpNvncWb3Ami1GrToZn3fGkhLuoGwNS9BZ+Xczc9NZ8Kv7YA34V27ldlnUrkjngS66mn4e/rF35QpU/Dcc8+hKjJw4EB06dIFTwO+vr44duwYnJ2dH/t3h3aQIT5Zg7W7lex95G01RCIB+raV4dCFAqisTCs6uJMcF26osPGwXohExqlhJxcgtKPMKP78vfQWv0u31EjJfLh8/gHtZYh/oMVve/XfExWngUgI9GktxeELhVZFGvXh4k01Nh3RC9eoOxp93zrIjOJvQHsplIU6/LApz/j7UrO0mDZYgZreIsRYiNXSGNzZDnfva7Bqu970cC1WBZEIGNBBgQPn8q2O3bCudgiPKsQ/+/XmqohYFewVAgzpojCKvwEd5TgfVYiNh/T7JCpODS83EXqEyG0Wfyd3LYanfyP0n/A1e1+nUVdoNGqcDVuGlt0mQiyVl2ijURfi4pHfmJgTi0tOlE43n9N7lqJWUCeETl5kXO7l3xi/fTkYcVHHUbthJ5v617WJEEkZwLbT+qt/TJKOCYOOjQU4e1MHtZVdQJ+3ri9A16YCq58THRsJEHlXh4OX9du9nayDm6O+XUXEX58QMe6l6rDukP54vhGvZd/fI1iM41c1Vr+/XxsxrsRosf2UfsffjNdCIROgb2sxLscUgow2PVuJcSNegz/2Fwu9hJRCvPaMDIE1NLiVYNu5smf9EvjVaYRxM+ez9w1bdGH7d/+WX9Cl/wRILPZvbnYGTh/4BwOfnYseg6ewZfWbtmevO//6DgOffQ0OTm44e3gTXNx9MW7WlxAKRWjQrCNyMlNxeOcaDBn/FkRiiU396xEsRFKaDhuP6wfq1j0dO3e7NBXiVKTW6vjR5+0aCtGjhRBqbcU/txmBAP4ThqHRl/8H2Kgfgz6Zi8T1uxH5xhfsfUrYMUhcnRE071Wj+At4cxrU2bk4N2Ims/Q92H0EGmU+mi78ALfmL0P+3USbvit8/xK4+zZC99Ffsff+DbowUX/p0E9o0nECxBLr527Eyd8Rvm8xRKVYaFMTI9lr7ca94eReC1UBXTV1+z71pV7s7e3h5uaGqohcLoenpyeeBkQiEeurVFoxt8q/RSwCs1aRQDOFhB3dtAL8Sj6fuDkJ4O0mwmWLNhdvqODlKoKni/6w9vcUMQvfwwo/ElHkkr0Sbf491Fe5TIB6NUQl++YogLerEJct29xUs36R+4loHijB6WsqM3F2N1mL/63ItVn40dg1qCXGhRvmFkgSbTR2NK6WkBvax13ExteyDY0puaKJJf9kY8NBc1+mRqOD2MbHRbW6EAk3TyOwWR+z5fVb9ENhQS4SYs5bbRcbcQSndy9B2z7T0XnIGyU+z8tOQX5eBuo26W623MOvART2roiNOGRT/+gmXsuLBJX5hT8qXgeZRAB/D+vtAn2BLk0EOBFRLO4sWXdEiwMXzY85jVZ/PNkK9a+erxDXbpsfC1djNMz6SlZAS1wdBOwYK9EmVgMPZyFz8ZKVjyziUXfM+3c/Xcfcyg1r2nZLIPdtdORZNGvTy2x587Z9UaDMZVZAS/KVOWjfazSahPQwW+7lV4+9pibHs1eVqhBSGVmviwfMzsEFGrUKBfm5No9fHW+9CDflWpyOjR9ZAa1Rv4aAhQEcvapF2HlNhT+3FafmQWj6w0eI/20zLk56q9z1FbVrwCGoLpK2hJktT9y4B/b168AusDZ779mnM5J3HTZz8SZt2A0BXd/7drapbyTiEmPOoHaT3mbL6zbtB1VBLu7ftn7u3r1xBBcO/IAW3V9Em/6vW10nLTEKEpk9HN1q2tQXThUWf0FBQfj9998xevRoNGvWDIMHD8b+/fuNn2u1Wvz000/o168fmjZtilatWuGFF17AnTt3jOscPnwYI0aMQIsWLdChQwe8/fbbyMzMNH6+YsUK9O7dm7Unt+oPP/xgzNAhty8tIyZMmIA5c+aY9e/s2bOsj3Fxcez9wYMH2Xc1b94cffr0wffff4/CwrJjyyw5evQoxowZw/rbtWtXfPfdd9BoNFZdufTdBnJzc/HJJ5+gc+fOaNmyJcaPH4+rV69a/Y7du3ez3/vXX3/Z3K99+/Zh1KhRCA4OZvuCfif11dAXWpaVlWXWhsaV+k9uX+rr6dOn2XIa//fff59ZLps0acL2C71XKvWWoMqCxIhELEByuvn4PcjQv/dyK3mI+rjpbwr3S7TR39BIfBE1vETIy9fhhcF2+HqWE76Z7YTJoQo42dv2qO3hJISY9U1r9Xu8ikSmKd5F/X1g2aZIgJK4IvFqJxMgLVuLZ7rL8Pl0ByyY5YAXBsnh7GC7G8nDpWjs0izGoei7ScxZQsKPuJ9WytgVtUlK1bJYQIKsluQGbt9UhsPhtsX8ZaXchUajgqtXHbPlLp76m1R6cqzVdj61mmHKhwfQtu8MCExu/gZkCicIhWJkp90zW56fl4l8ZRayUu/a1D+KxROLaB+Yi4P0bP2ru6P1/XAvDfhhu5ZZ8LSlPFOkZsMYAyiX6t3AFAMYfst2CwMdI9S/lEzzNoZ4UE/nkv0zPFiU2sZFgPwCEqI6JhRNUUgBhUz/vbaQmnyXiTFPH/P96+Gtt+Yk3yu5f929/DFyyv/g5VfXbPnVc/shEonh6aM/NihuMCUpDoe2r4IyN4u5l4/u/hUNg7syEWgLro76/WsZP2vY3x6l/M6EFB2+36jGkStaq/GP5X1uK8o7iTjUsA8i35wPTV75lnRy3xK5N2+bLc+L1t/XHBrUhVAug10df+TeNB/7wpR0qDKz2Tq2kJ12F1qNCs7u+v1hwGCpy0wx74MBzxrNMObNfQju8RIEQutPiamJUZApnHHgj1ex9qM2WDMvBAf+fA15Wcl4kqVetJXwVy0tfwsWLMDQoUOxZcsWdOvWDbNnz0Z4uP7Jj2LISLyRoNuzZw8Tbrdv38b8+XpXQVpaGlt/5MiR2LlzJ5YsWcIE21df6c3NFMtH4vGjjz7C3r178cYbb+DHH3/E1q1bS/SDxA6Ju5ycHOMyWo8EZ+3atXHkyBEmDkmobt++HR9++CF27dqFN9980+bfeuHCBbz44osICQlhgurTTz9lAm3p0qXltqXvpj588cUX2Lx5M2rWrMnc1qZC1yDiqE/Uv2effdamfpGIpDjD0NBQbNu2DevWrWMW0bfeeouJ2/79+0MsFrN9YID20d27d9m4WUL7KyIigu0PakPxiNTnv//+G5UJWaiI/ELzk6egSI/TU3rpbcyX5xc97JJVzmD5o9i6O/c1WLY5FxsPK1HfX4w5o+1Z/FV5yIu8jqX2reh7zNuU9nt0xt/joNCvM6STjIm9NbuU+GtfPvy9RHh5pJ1NfTMdB8v4RcN3Gz631ibfsk3Re8vfVM9PjO/muLL4v4QHmnITSYy/N1+voqRyB7PlUpk9ey3MLz5HTXFw8YbcvvQbvESqYDGEl47+hmun1jPRl3Y/BrvWzGWWIlWBbQ8nsiIDd4GFW9zwXlaKZzFHWfK4K40a7sDc4SIW/5ecCZsTSQyikfXH4rsKVOb9t9pGVUobCViYwuVoLTo0EaF1AxETfR7OAjzbU8LErK3HXn6efv/JFOb7V6bQ71+y/tnClbP7cP7oFnToPQZ2DvqQk8Am7dB98BRs/2MBPpjWAYs/HMfcwc/N1t8TbEEuEVgdi0KTsbBGthJQlrF/y/vcVlTpmchPKJn0UBpiZ/04q7PMzxty8bLPnRwgcXa0uo5hPVrHFgqLzl2JxbkrkRaduwXWz117Z2/I7MoW56n3IpGblQz3Gk3Qd+KPaDfw/5AUew47fpkIVaFF1tRjdPvqKuGvWsb8kXgwxN2RODtz5gx+++03Jrpq1aqFL7/8Ej166E39NWrUYEKELFvE/fv3mTjx8/Njn9HfsmXLjJY0shCSK5KW0zr05+XlxV4tIevixx9/zMTTsGHD2HZJuBjEHW2XhJ9BUFHfSFQ+//zzzPLl72+eUWiNX3/9lVn8SFQRAQEB7DtTU1PLbBcTE8OEHwlhsvwR8+bNg5OTE9LT043rHTp0CHPnzmX9sibKynLbfvDBBxg3bpxx2cSJEzFt2jTWN4rpo3EnYUjWQYL+Nwhj+v2mdOrUCW3atDFaLmlsaJ/euHGj1D5QwkhZmFqEDZRnZ7D2QFVespmhzZ9hSuZuI/FHRCdokJiqxdxnHdC2sRTHLpd9Fbf1e0wpL/6brhFkkSAoc3jl9nzoTKyDc8fYI6ShBCevlh94X17WnbXrUUV/U2qWBgt+z2JWxqFd7PB/E5zw6apMq7GE5tsp29UuEDz8c2fPMR+xmKKwv95H2J/vsfij1r2nMXeyWKqwaRsPc9xVlMxc4LcDGjjbC9CtmQDP9xJixV7rsWaV0T9b9+2mYyqotWKM6CrGM90kKFTrcPiimrm7y9uvNu9fGxIhrpwJw+8/vIU6Qa0QOrbYTbhh5cc4e2gjeg+bjsCm7ZH+IAF7NyzF8vnTMf29FcwlXB7ljgWeLgQU7FkGOlLu5a6jq5S6d//m3O084mNmuff0b8be+9RtDVfvQGz/6TncCt+CRu3HPvS2OU9A/Flmh5JL8/jx4+x/csleunQJCxcuRGxsLPu7desWvL292eeNGjXCoEGD8NJLL7GYMxId3bt3Zy5ZYsiQIdiwYQMTdoGBgejYsSP735r4s7OzMwocEn/kTiYBOGDAAPY5WbIuX76M9evXlzjQo6OjbRJ/JH6oj6ZQf2xpR5BL1oBMJmMWNcJgKX311VdZn23piyk0jpSs8fPPPzOhSW7uqKgo9plBSJOYJEFIgpusgmT1fP1167EZJCLJ6kqZ1GSppX1GArFePX18TmVBSQ+EzMLCZ7BAWcvKNSyTS6xbPgyfxyaWvMtSPB25gv09y7+AkYtMv11Bmd9jrW/631P8uWEbZGEzWOYoScV0C3FJWuQV2NY30++ytNbZNHY2tsnM0SEzR42bd4GUDC3eeM4JIQ2lJcrCWCIrytwrtIjRMlj8pBYWo4pA1sM+4z5Ht5HvMfevo5sfW3bt5Hq4eJi7qkrDYBGytHQZLEKWFqOHISdf/4cHOmTk6jChpwgNawpw9Xb5N+H8Uix8hvfWrI+GZZZWLcN7w+eFamDDETW2nVDDxVGAjGwdW9amodjmMkNyO/3+tYzBK1Dq969cUXbm5pGda7Dt9wUIaNwGk+YuhkSqN7Nnpt1nSSE9h05D/9GvGNevGdAMC94aijOHNqJzv/IT/AznWKn7txKsd48TdabeGid21FvfDBiseerMHKPFz3Idw3qGbZSHwVpP8X2mqIosflLZw5+73rVallxWuxXL9E1LejKVLnRPodWuyog/cieaQmJDWPQUQmKEXL1U/oTixiZNmsQsQDt27DCu/80332DWrFnMMnbixAlmqSO36po1a5hIIXcyuVtJUFJGKrmSycVJ7mJLSOCQJS8lJYWJQIppc3BwMMYfUrwh9cUSWxMzLH+rrdjajtzIYWFheO+995jLWqGwzZJB1tapU6cy4UxjR7GXFJ9H42qgdevWzIJKLm8Scfn5+UZhbAqN0/Tp03Hz5k0mzClrmeL+yLJYUcteeZCgoBgkQ5KGAcN7y9g0tqwopo3WoUzc4jZF8WppFBRP5WAkiEvSW/sMCIoSJbKV5Z/wlChCfSO3mCkexr6VtH4Y4gM9nYVIMOmbaZucfH2MiMECaAotstX68iBdw/rnxX53sVoxJG0kpVoZu6JlNHaUJVzcxhDrp2E3yOb1pbh9T22MBSTuJOk75uxQvjh19qjFYvaoDp8pGSn6WF83b30M08MQc/Ug5HZO8KsXAnff+mxZXnYqsjOTWNavLaTn6Iu76mPfio8F16L7WkoFay0akIiB+n4CJKbp2HcYSCoy7juWTJK0SlqWju1bStIwxfD+QUbJ/hli/WgdyhI2tnE2b9OwlpCJ/Lj7OiSn65fZywEne+Beim3JUe5eNZmbPSXpjnkfit571bD+kEgP21vWfoFje35Hy44DMealz8xq96WnJLJ16jQwLwPi4x/I4v2onqAtUOxm8fjpzBKy2FhYxEVWdXJu6OP47AJqI+uiPmOWsA/QP+zkREVDk5sHZXwSW8cUqacbJE4ObB1bcHTTn7tZqeb71vDexevhzl1yJ9++uhce/s3g5tPAzGpJ8cFPqsaf9uk6FKpWzN+VK1fM3pNQI7FgcLWSACEXJyVJkOWLLEkGixtZBT///HMmRkgYklik96dOnWLuShJAf/75JxM0r7zyCotlI7clxQdawyBwSDCSC9XUdVq/fn1meSQ3p+EvKSmJxRdSMoYtkJvX8veSSDW4UstqZzlWarWaWUYNLnCCRBuJrIyMDHz77bewlZUrVzILLCXA0DiSdTIxUZ/WbxhrchOS8KXYSRLfpsLYlMjISCbEyVpLbnyyvpKLnFzwlT0VDrnAbsVrEBxobq4g4UYWuttJGquCkf6CG1i2EbPEEbpx0nZH91SwcjGmUM09qUSAm3fLV1i0DXIVU2auZR0/stDF3bfSt0x9dnGL+uISbUgYUsA5xR2x7QaIzTJAG9QUMYuhrdm+1D/6HS2DzM1DrYKkyMvXIvZeyd9IYo6Sach6Z95GwoQ2JXmQq3ziAHv0bWeuVBrX1Y9DQnL5/RNLZKgR0Bq3LoeZHTM3L+2BVOEIn9rN8bBcOf4Xjmz5qkTtP6FAhLpNzTNJS4OFAzwAgvzNxVVDfwGzGlFix8NA3rfQNvoCz6bU0zs6kGyj6KB9eztJiyZ1zJNemtbVZ7BTZrglZLWjckG0jlmbOiIWUpCeo//udo1EGNjO/Jju3FTM3MKRFlnApUGWuroNQ3D17D6z/Xv5bBizCtYK0Lv1LNn19/dM+HUd+DzGzfqqRNFmD59aTFTGRplnlFICSV5OBty8bPOIUBkWEreNapnvh8a1BczbQIkbTxN50XeQF3MXviP6laj9R8JQGZfA3qfsOw6vgd0hlBbvX58R/aBVq5Fy8JRN30Xnrk+d1rh9zfzcjb22l1noDC7biiIUSXFi26e4fPgXs+VxUQegUeXDt97jrS9b3akUyx+JHxJvlJ1K4owKFX/22WfsM4o1I4sdiRyyBpIoI/Hh4aGvpUDi448//oBEImHxeAUFBUzY1alTB66uruw9xQxSSRcSdiTWKCGE/rcGCRxy+ZK1kayG7dvr60gRFP9GSReUxECJEbQtsrCRi9VWyx9ZDik5hYQRJbmQe5WSPcidWhZ169ZF3759WSwfCWFye5PQpd/Xtm1bJlQNUF8MCR/kxibhWx40zhTreO7cOfj4+LCsXeojYZrNTOKPxobc0PRqDdo3ZKkktzCNIQlREvEPHjyocGa0Lew5nY/Zz9hjyiA75k6kwsW9Wkux9ai+Th1Z8ShLlQQflaMgdp3KZ0Wdc5U6XIlRMyEVEiTFyu15xpvn3rMFGNRRzmLrqP4dzYAxsIMcl26pcOOubQJr75lCzByhwKSBclaapa6vCD1DpNh2vJD1jdxwNPMHiT7qi/73FOC5vgomXqlvzeqJ0aqBBKt3FicjbD9ewJI7XhqqwIHzhXC0E7Di0bcTNayNrew8ocScZx3x4jAHHL9cgIAaYvRpJ8emQ0rj2Pl6iFgGsGHsdhxXYlKoA3t/+aYKLepL0LqRDL9szjGO3a6TSgzuomBjd/2OiiWjDOqkYDUBr8bY5hNt13cGNiydjJ2rX0XjdiORGHsB5w+sQOfBr7PEjYL8HKQl3WJWQjsH28s1BXebgE0/TsXhjZ+jXrOeuHvjJM7u+wmte02Di4fttcOOR2gxrrsQwzsKcSlGy4oCk2ijEi40BuQy9HAGMnKAPBsnNiFRSZnAVAeQZgyJSybLrICVh6GCz9G2lVljHLigwdSBEozrJcG56xrU9haia3MRdp9Rs8QNstB6uQrYww59F2sTrsGo7hL2cBIZp0Xj2kK0CBDhj/3F5y0VgJ46UIpB7cWIiNMisIYQPVqKceiiukT2c1n0Hj4dP3/+An5dOBdtuo9A3I0LOLx9FavXR3F5lBRyPyEa7t41WcJGwu1IHNy2AjXrNUWLdv1w59Zls+151whg63UZMAGHdqxiyxo064D0lHvYu/FHuHr4oX3PZ2zuH2XkTuwjwuiuIoTf0rLyLh2bCLEvXGscP8qapt9s6/59XJDr1qFxIBN9lK1L3PzsB7RYMR+qtAzc33YA3kN6wW/0QISPK65wEb1gOZsFpM325Yj9fhXsG9Rh9QHvLl9nc40/gjJ2d62cwjJxG4SMQPKdC7hydCXa9JvL4mopfCMj+RazEipsPHdJVLbo+gKrISh3cEfNoK5IT7qB8P0/oFajXvALKL5XP0501dT0VynijxIoVq9ezQRFw4YNWVIDvRJkVaOECBJMJOAoWcIggO7du8csYmStIkFGIpAEIgm2X375hf1PFjUSHySwyJJFcW0UY0cWqdIggUPbo9IvBvczQUKKyppQ9jCJGRcXFyZKy9qWtdg6Ek2LFi1ifaTkExJ+M2bMKLctWTRpPAxxfTQWNFbW6hTS7yar57vvvssEM9UMLAuyipKrm2InCYqPpO8jEUnWRoPlkWIlSWyS9dVUGJtCwpSysWm/UBkfEqPkTiaL4qOYSYWE2PJteQjtIMe0IXYszmzzkXwmioiaXiK8OtoBv+7OM07fRq9ikZKJxA5NpczatmZXHsJN6tftOVWAnDwdugZL0bmFlIkzSvLYaWORYuJmvAarduSzoswvDFKw2K2tRwtw8IL+e2p6ivDyM3b4fa8SZ4qmb6NXsSificR2jSXMmvbrHiUu3CwWdWTVWbwxD4M6yDAlVMGC7qme4JajBRVKNrgep8ZPm3IwuLMCM0Y4ICNHiw0HldhXlJVby0eM18c5YfWOHJy8oh9PehWLctnUbVTChayBK7fl4FxUsUDYeSKfjV33EBlbLydPiyMXCrDtmO2lfmo26IBBkxfj1K5F2L58FuxdvNFlyFsI6akv8Jt89xo2LJmIPuO+QJN2tic31W7YGf0nfoMze3/ElRN/s5i/7iPfR3DXCbYPHFkckoENx7Xo2lSIZzoLWSbn/ks6nCnKyvVxBcb3FGHbaS2u2BCnZ+B4hF5MUFHndkEC9n94tA5Hr1bsJhN9T4vf96nQu5UYE/tKkJmrw67TauP0bjU8hHhxkBT/HFLh/E39MnolazKJRMrmJWHz98Hi2T2Imwla/HmgkE0B17aRiMX8bT2hwolrFatbV79Je0yc8z32rv8Bq799Gc6u3ggd9wa6h05in8ffjsCyTydjzPRP0abbcJbZS5YkmtWDMngteen9VQhs3BaDxr0BZzdvnNy3Dod3roaTiycr9DxgzKtQ2Jc/E4YBEtt/H9KgR7AIY3vQtJFA2Pni6d183QSY3E+MTcfVuBhdtQSAU8sm6LD/V1ya+jbi125iy+hVKJOi3mtT4D9pJLMEUo3AxH92GdvlXo/B6QFT2PRurf5exIRj7MLVuDGvuCC6LZAQ6zVuIRNq+36bDXsnb7Tt/yaadZnMPk+9F4Gdy59Hl5Gfo0FIyTCq0gjuMQNyezdEnPoDUaf/YtnBDduNQateJUO4Hhe6p7BMS2Ug0P3LX07ZoFS6pCKZqZzqy+xvzcvaVCWWzHXGqwttC4p+3Cx81RHT5z+kL/Ix8NPbbvixOHqhyjGjP/D53w9flPdR8u4YEd7+xfYHksfN/GlybDtvuzX6cTM4RIwP11ZChs4j4qOJEuyQFNd7rUqEqq7jqw3/ZqqSR8tbIx/9PBTTPi+7Uoet/PKuO54mnvoZPjgcDofD4XA41Whu38qCklSo4HJZkLvZUJz6cULxjdZmEDHg7u7O4v04HA6Hw+HYjq6aun3/tfij5I7/Ao0bN2YzWJQFxSw+CWgmkbIOUCrwzOFwOBwOp2LoeMJH9YYKLlPpl6oIlVnhcDgcDofz30Or1bIk1X/++QfZ2dlsdq3//e9/bApYa9CsYFQTmEqyUYUTql5Cs47ZWheY4DF/HA6Hw+FwqiW6KjC3L1UzoWonn3zyCf766y/jhBSllVaj6h5UZo6qrFBJN5rNjCqoVAQu/jgcDofD4VRLtDpdpfw9LCTwaJIGEnRUUo3K5FFJOqpDTDWRreUn0IxeVP+YJtOgmdOonB6VhKOpW22Fiz8Oh8PhcDicJ0BUVBSbYYxEnAEnJyeWh0ATWlhCEzlQ7V1D7V6CaveS+/f8efOZccqCx/xxOBwOh8OpluiecMIHWfgMs3SZQhNIGD4zhax7lutKpVI2aYVhSldb4OKPw+FwOBxOtURXSaVeevXqVebn+/fvt7pcqVQaBZxlEmpmZqbV9S3XNaxP08XaCnf7cjgcDofD4TwBDFO3WiZ3kJCzlr1L61tLBKH17ezsbP5ebvnjcDgcDodTLdFWktu3NMteeRhcuMnJyWZl3eg9TZ9riY+PT4lJHUgMZmRkMFexrXDLH4fD4XA4nGqJ7gmXeqHsXgcHB5w+fdq4LCsrCxEREazenyW0jGIBqdSLAcr+JUJCQmz+Xm7543A4HA6HUy3RPeHp3Sh+b/z48ViwYAHc3NxQo0YNfP3118zC17dvXza1a1paGhwdHZnLt0WLFmjVqhVee+01VtsvLy+PFYQeNmwYvL29bf5ege5J/3IOh8PhcDicJ8C4t+MrZTt/zPd/6LYk8L799ls2lWt+fr5xhg9/f3/Ex8ezZJIvvvgCI0aMYOunpqbio48+wtGjR1miR//+/fHOO++w/22Fiz/OY2X1IVRZJnUH3l1he7bU4+TzqTK8ujAbVZWFrzri5e+zUFVZPMcJ326pmpe6uUMFGD77Jqoqm5bUx/T5aaiq/PS2GybNs7247eNm9TxvfLVBi6rIWyOF2CEpGVdWVQhVXX/k3zH2rTuVsp0/v3q6pmHlbl8Oh8PhcDjVEu0TrvP3pOAJHxwOh8PhcDjVCG7543A4HA6HUy3RVdPINy7+OBwOh8PhVEt03O3L4XA4HA6Hw/mvwy1/HA6Hw+FwqiW6amr54+KPw+FwOBxOtUSrq5pleB41XPxxOBwOh8OpluiqqeWPx/xxOBwOh8PhVCO45Y/zxImJOIbDm79Dyr1bsHdyR0j359C2zxQIBAKr66tVhTgTthJXTm1GdnoSHF290aTtYHTo/yJEYqlxvcjzu3Bqz3KkJcVAZueEOg07oseI12Hv5FGh/gXWEKBviBhergLkKIFTERocu6ops03zekL0CBbBzVGA9BwdDl/S4MItc/dCq/pCdGmmXyc7Dwi/qcGhSxpU9EE0qJYIgzrK4OMmRHaeDkcvF+JguKrMNq0aiNG3rRTuzkKkZWmx71whzkaqzdbxchViSGcZ6tcQQaMDouPV2Hy0AKlZFetgQ9Y/OXzd9f07cqkQB8ILy2wTEiRGv7YyY//CzhbiTKT5b/p4qgNcHUs+v769LBu5+bb18e6NYzi7+3uk378FhYM7mnQch+ZdSz/2TElJiMCmxaPx7Fu74ehmPrVTenIMTu/4GvdizkAoFMO3Xht0GPR/cHKviYoilwowcZgH2gc7QC4TIuKWEis3PMC95LL3sbOjCJNHeKBVY3sIhUD4tTys2vgA6VnWj113FzEWvlcL2w5m4O+dts3o0aiOGMO62cHPQ4SsXC0OhRcg7Ex+mW3aNJJiYEc5PFxESM3UYvcpJU5dNT8eOjSTok9bOTxdRGz/HwrPx8HzFZt9p0mAFCN7OqCGlxhZOVrsP5uH3SfyymzTrqkcQ7raw9NVhJQMDXYcy8XxS/ml7pdPZrhjy+EcHLtY9m+2RvzN4zi/93ukJ+uPvcbtx6Fp58m2HXv3IrB16RiMen03HF1rmH325/zuyMsqOePJc++dgNzetcL9lNfwRteL23Fu5CykHTlT5rp+Y0IR+M4M2NWrCeXtBNz6+mck/LrZbB3nkKZo9OVb7FWdlYv4tRtx4+Ml0KnKPp4fFbpqavl7qsUfzYNH89ldv/7op4B53KSnp2Pfvn0YNWrUY/k+w/yBa9euRbt27fC4SIi5iH+WvIRGrQeg65BXEX/rPA5s/BparYaJOWvsW/cprp7aik6hM+FbuxkS467g2PYfkJl2D6ETP2frRJzdgS3L56Jl1zHoNuw15Gam4MjWhfjj2+cx+b2NEEtsmwOxpqcAE/tIcCVWi7DzatTxEaJ/WxG7mR65bP0m2qSOEKO7i3HimgY347VoXFuEUd0k0GhVuByjF4Adm4gwqL0YV2I12HVGA3s50LuVGD5uAvxxwFyElUVtHyFeHKLAhRtq7DhZgHp+IibYREIBE3TWaBEoxoT+chy5qELk7QI0CxBjfF8F1Bol2w7h4iDAnFF2SE7XYs1uJaRiAQZ2lGHGcDt8+VsuVGVrXyN1fESYPtQO4TdU2HEyH/X8xBjahfoHhJXRv4n9FTh8oRARcWo0D5BgQj/qnw7hRf2zlwuY8Nt0JB8x98w7oyyw7WJ+P+4idq+agYAWA9C636tIij2PUzsXsGOvZQ/rx56BtKQb2LVyOrTakvsqJyMRW5aOhYtnXfQa9w3UqnwmMHcsn4pRc7dCLJGjIrw22QdBdeRYszkFynwtRg9wxyev+uOVT+OQq7Qer0TH5wcz/WAnF2LZX8kQiQSYMMQdH86ugdfn34HGSrPZ471hrxDZ3K+6fiLMHuWIc5GF2HpEiUB/MUb0ULDv3nPKuhhqGSTBlCH2OHCuANdilAiuL8HkQQ5Qa3LYdohOzWWYONAee04pERGbh7p+YozqZcfE1q6TtomsAH8JXhvngjNX87HpYA7q15JgdB8HdtztOGZdALZuJMP0kU4IO5WHK7cK0aqhDNOGO7Pj7vRVc+FpJxfg1bEuTCQ+DMl3LiJs7QzUbdYfIX1eQdLt8zizW3/steg2rdxjL2zNS9BZOfbyc9OZ8Gs74E14125l9plU7ljhfsr9fdB2xwpIXJzKXddneF8Er12A2MVr8WDPUfgM7Y3glV9CW1CIxHU72TqKuv5ot3sV0k9dRPjYOXBoGICgT16DxM0FV2d9iCeBjtf541QlvvrqKybIHpf48/X1xbFjx+Ds7IzHydFti+FdsxGGTPmavQ9o2hVajRondi1D654TIZGa3yjzctJx4eg69Bj+Btr3e4Etq9OoA3s9tOkbttzO0Y21D2jaDf2f+9jY1s2nLtbOH41blw+iYUh/m/rXq5UYiak6/HNYf6G9maBhN7fuLURM3KmtiKC+ISJcjdVi52n9hzcT1FDISNyJmPijB/uewSLcTNDiTxOhdy9VhVdHSBHop8Gte7ZdkAa0lyH+gRa/7dXfFKPiNOwG16e1lIknayIttKMMF2+qsemI/oYWdUfDbmahHWRG8TegvRTKQh1+2JQHVVEXU7O0mDZYgZreohKCqzQGdtD379c9+v5FUv9EQJ82MhwqpX+Di/q30dC/OBLH+v4ZxJ+/p97idzlahZTMh7t4nwtbDA+/Ruj57Ffsfa2gLkzMXTjwE5p1nmhVpGnUhbh6/Dec27sYIom0lO0uYTfa0GmrIJEq2DIn1xrYvXomHsRfhW/d1jb3MaiuHG2bOeCTpQkIj9CLlojofCz7qA4GdHXG+j3pVtt1bOmAgJpyvPxpHOKT9KIqNr4AC9+thU6tHHHknPk80f27OMPfW4KKMLizHe7e12DV9lz2/lqsiu3bAR0UOHAu33jcmDKsqx3Cowrxz/6i3xKrgr1CgCFdFEbxN6CjHOejCrHxkJK9j4pTw8tNhB4hcpvF37Du9ohLVOPnTfr5pknM0QPRoC722Huq+Jg2ZWQvB5y9VoA/9+Sw91ejC2GvEGJ4Dwcz8RccJMP4AY5MjD4s4fuXwN23EbqP1h97/g30x96lQz+hSccJpR57ESd/R/i+xWYeDlNSEyPZa+3GveHk/i/mmhUI4D9hGBp9+X+AjT8z6JO5SFy/G5FvfMHep4Qdg8TVGUHzXjWKv4A3p0GdnYtzI2YyS9+D3UegUeaj6cIPcGv+Mvx/e+cBHkXZxPEhldB77y0UE3qT3ntH6QgoohTlA0EsIAgiKKKAYKEqiKDSEZQmRVBAeifU0AIhQEhIT/Z7/hP2uJocLfteMr/nObjslUxu996dnfnPTNSVG09us/BYiOZPUVL6asTd3Z1y585NXl72F5XnAdK3gWf3km/lZhbbfau2oJioBxwFtCYmKpwq1+9OpSs2ttieM18J/v/u7SukJSRQ8XJ1qFK9l+0/J9i5Qd5wokrkT0cnLluGSeDYYeEvltd2VcyWiSh3Njc6aec1ubK6Uc4s6SiTT2Lk4HSg5XNu3tXoQaRGvoWd+1riRIuU7LHzlmeyI+fiKL13OipR0DYqgRRz3uxudNT6NQFxbHfubIl/k38pT9p7ItbiJHnlVgKNm//AacfPwx0pc3c6es4ynXM4IJZ8HNmXJR3lzeFOR6xecygglvJkd2cbQcHc7hzhe1LHDyfS6+f3UbEXmlpsL+HXgmKjH3AU0B6Bp3fSgS2zqXLjQVSz1Tt2v7cXj22istW7mBw/kLuwH/UZu+uxHD9QqVwGioxOoMOnHkWr7ofH04mASE7nOqJyuYzs9OmOH+Cfb8ZQlQoZLJ6bN6cH9e2Qi+YsveW0Xdi3ZYp40KGzltFbOG3Yt4gCWoMUfr6c7nTobKzNa7DPITMAX/8aRiv+sozOxcdr5OHhvG1li3nRwdOWjuJ/J6PIx9uNyhSxXeNyZXOj/Lk87L4mX04Ptg/ge/tWt6x0+lIMTVti3/F25ti7cWEfFa1geewVfyHx2Lt5yf6xd+XsTjq0bTZVbPg6VW850u5z7tw4TZ7eGSlzjseXF5iTxd+XXpg9ga4uWU2H+41O9vk+RQtSJt/iFLRms8X2Gyv/pIyli1GGUkX559zN6tKtjTssUrxBK/6gdDj/NK9LRpCQkPBMbq6GYc7fvXv3aMKECdSgQQPy9/en7t270969e/mxWbNmUe/evel///sfValShSZOnMjbN2/eTO3atSM/Pz/q2bMnXb9+3eI9Y2Ji6PPPP6d69epR5cqV6eWXX+ZolnmauFmzZjRp0iSqWrUqDR48mLfPnz+fmjZtSi+88AI1btyYZs+e/VjO19mzZ2nQoEFUvXp1fg+kTxcsWGB6HH9Pv3796Ouvv6YXX3yRbRs3bhzduHGDX1exYkW2a/v27fz8MWPG0KpVq2jfvn3k6+vrtB16mrhSpUr8GXXu3Jl27dpl+tux7f79xCthHfzdX375JUcZ8bv0fRAaGkoffvghf5YVKlSg2rVr88+RkYlX48+Ce7evUHxcLOXIU8xie/bciQtFyM2LNq/Jlqswtew53uTI6Zw9vJXc3D35vdK5uVGTl8ZQmUqWi+vZw1v4/1wFSjtlHxwlD/d0FGLlYOiat1xZbZ2/PA+dE2unJCTs0WuiooniEzR2FM1J70WU3jvx9zpDrixu5OGRjlOz5gTfS7CwxZy8ORK3BVu/JvTha7K7sQOWwTsd3QlLoK4NvWnyoEw0bUgmeq1tesqayfloR84sbuSZhH1wQq3J9/Aka/2a2/rf9PA1iPxFRGv0ahsf+uzNzDRtcGbq39qHsmRwzr77IVcoIT6WsuayPPayPoyW3Au2Pfb49xf2o57vbaUqTd4gN3jfVoTdvUYxUWGUKVsB2rXqY1r0UU2a974/R/3C7wXR41IorxfdvB1rowMNCo6hgnkdX6gVyudF14Nt0+pBwbEWr0MUeliffLT7YBgdMnMwkwPOEu/bO5YXAvpxpTtL5sDxAzetX3PP8jVBIQmsBdSdLaSBa73gTTsOOqf5QyoWtgWFWP4e/ffmy2VrGxy/xN+d9GuiYzV6f3YIzVt9n8IjnuyEH3bn4bGXM3Gd09EjdaG3L9n/uwr6UbdRW6hSozconZt9Tzjkxmny9slK25a+TT9OqE4/jK9K237+H0Xcd96xB5GBN2h72WZ0atQUio9IPtqK9C14EGBpe8T5y4mPlylObum9KUOxQvQgwPK7FXP7LsWGhvFzjNL8ac/g5moY4vzFx8fTgAED6L///mNnDY5JmTJl6NVXX6WjR4/yc/bv30+5cuWiNWvWUJ8+fejgwYM0bNgwatGiBa1du5Y6depE33//vcX7Qv+3e/dumjZtGjtPrVq1ojfeeMPkVIHAwEC6desWrV69mp3Lbdu20XfffceO6KZNm+idd96hb775hn+HM8AZwt+SLVs2WrZsGa1fv55atmxJU6dOpVOnEkPwAH/rxYsX6aeffmInavny5dS1a1e2EX9/yZIl2emD0/nBBx/wdjiJ5s5rUhw/fpw/nzZt2tC6devol19+oRw5ctDo0aPZKYZNHh4e9Oeff5peg8/0ypUr7CRaA1tOnjzJDiteg88WnxnsflZERyamnrx8LL0g7/SJEY2YyMT0S3KcObSZjv27iiOCPhntp60R7dv221ROMZd6oYFT7wtnDETFWn6xYx5etHrbSfuYXhNj+Zrohz+n9yROdSL9W7u8O1Ut7cavgVPYvZEn4QLSy9M5BwaOov3fpT9ux76H2xza54XIZOJz2tfxZmfvh42RtGxLFBXK407DumQgLycjMIgAJWnfY3x++s/644j8ZcuYjq7ciqfv1kTQyp1RHGV8+yXn7IODBrzSWx57iJrw49H2j72MWfNS+gzZHL5vVHhiocTeDdNYe9Wk1xdUv+skLg5Z990rFBvjvIMFMvi4sc7PGkQ9fdI7Xr6h9Yu0owfEe+ExnXaNsnHkb+HK249ll75vrfWV+n7SH7f3mijr1zz82fp4hT70y+HZWf93LTg+2UISHf3vexzb4GQm/ZrE94yPt3UQHxf92PO0Pva8kj/2vJM49kDI9VP04P4tylmwAjXv+w3VbP0uBV38j36f2/exjr3Yu6EUdc22aMQRHlkT/5a4+5a2I8XLj2fJRJ5ZM9t9jv48PEdI5Zo/ODQnTpxgJwVOH4DzdezYMY7ClSpVire99dZblDlz4gEzc+ZMjgIOHTqUfy5evDhH3FCgAC5fvsyOFxyUcuXK8bb+/fvT6dOn+T0bNmxo+v2I+BUunBgWh7OIVGfBggWpQIECfMuTJw//76zz17dvX+rVqxdlzJjRZPe8efO4EEW3BWFh/I2ZMmVi2+H01qpVizp27MiP9+jRg/766y8KDg7m358+fXry9PTkVKyzaduxY8dyRFQHdg0cOJBCQkJY0wcHEJ+5riPEfXymRYsW5cifOXXq1OFIph55LFSoEC1ZsoQ/c0cg4pkUW7dutfhZS6a5JiJ4yXHm4CZaM38kFS5ZlRp3GWX3OSFB52nZV69y1WWnQTOdel/+/cn4YPaCw8m5bfpL1uyOo/h4D+pUz4O61E9HMXGogo0nb083vv+87HNL5jW4gEW0E6Ayd8H6KJPNiA6O6JaRqpb1pH+Oxz6fz8/J1/y8NYoSEjQKvJl4DJ2/Hk83QhLtq1Hek/4+mrR9yR576Z7sujg+PvH3+mTORc37zDIda4gorp7dnQIOrqPytbo5+J22f39S+yup7ERSh7ieoSqY15N6ts1Jn827QRF2HMykSK4i1V4g5HGPh5D78TTtp/scZexQLwO92ycLTVoYalev9zS/J/E16VJMhpPcez3psQfqdv6Y17nchfz453zFq1H2vKVo/Xe96NzBNVSuVg96HiS3pkKKk+RBaWDVrSZNnlMOOBBw6nTHT//yVatWjR1DOH85c+Y0OX76a+CQmIPImO78IUoFzJ0fEBsbS1myWFYqFSv2KNXTvn17WrFiBUcU8XuRlsV9Z50/RNfwO+F4wgZEFuFwAnMdAP4eOH46GTJkoCJFHgly4ewBROmeBDiZKNZANPTChQvsDOt2INIKEOGDQ3jz5k22e+PGjTRypH3tCP4mREURQb106RKdO3eOHcQSJSzTrU+Dt0/i/oW+z5zoqMQrQ2+riKA1+7Ys4mhekTI1qMvg2XYreC+f2Usrvx1GXt4ZqNfIHyh7budF0FEPd4U3R+IeLUzenpbRMovXWEQFHz2uR7n094yJI1r5dxyt/zexsvZeuMbbqvm6O91KBelj8/d+9LscV73q2xzaF62Zoh2nLseZPYPoclACp1r1YovksPxdduyz9/lZ/E2OP79LN2yjLxdvxLN9BTlFl7Tzp1c+QmNljh51eZLKSH7dw8hhYd96FifEvEUr8XsiMuOIl1vloO6tc1ps23MwjLJmtl2mEfWLcFDpC1AFbC8y6OPjxo4enMphvfPSnkPhdPh0hMV5GY/h56RkTJEOonX6z0kde86+JjRco9DwOAq4kpj2f6dXFqpa1sumLYw1uiNr/b3QI34RdtoART7Ba54UPdpsfezF6see95NHwPIWqWy7rWgVPvbuBD2/rhhxoYnRTI/MljpUPZoXFxpuivhZP0d/nv4eKY3mgilbl3X+HF35YDtSk+bOkLlzaC2qRGTM+j2RVtUjcDpuVlcc5u8NJwip5UOHDnEUEM4nHEqkUPUoY1IgUtetWzd+H+gF69aty9o6aBkd2erIrqcB+kCkzRHhhJ4R2khEJYcMGWJ6DpxrRDjhqMKJi4qK4vSyNficoUUMCAigtm3bUuvWrVn3h8ji40T2kgOOWDo3d7p7K1EXonP3VmJBRs58iToSa7CvNy//hA78tZjKV29Lbft9arf67cS+9bR+0RjKma84dRs2j/sBPg53wjTW5qFIwxz951v3bI9jXb+UM3M6rhK2fU3i4yjqwMku8JZmeh+0e8mSEVW/zi1Gt0MT2D5r7SEiJeDmHduzt66ly53Vja4FJ9h9TXiURgn4Lj6MAJqDTclFXqzt04s0dPSfg+zYd/NuvMkeVAnbviaencdKpTzp8s3EaJ8OrPVwIwqPTP7zg74Kx17obcvin/sPf86e58kucriPH9aqOFsHBW083JNoMbRpdyj9d9zSIajpn4mLPhCYMl828+f25OINR1y/GUPFC9v+rvy5PCngcjTlzO5BvsV9+NaopuXFMVrJ4Pb6uIsUfMf+zg6+G8/7Nk82S0db12TaS43efLgN+xJVwo9eo2v9EPkm8i/tRZeux5m+SyAwKNGOrJmSXzN126x1h6gYBjdu2/5NNx7ahtfovyu51zwpmXMkHnv3Q6yOvYc/Z8tjf91zJp186fgmylXIj3LkK2MRdUNE+kl6/DlL+NlEHV+GkkXp/uFHFzgZSybqGsNPn6f4BxEUeTWIn2OOV+4c5JklEz9HSOWaP6QSw8LCLFKIOKEfOHDAlPK1pmzZsuygWevcdEqXLm1yxpDG1G/Q0+HmCGj7fv75Z3aYkK6FVg5p0Q0bEkvTkwOOFIpX8B5IJ6NwA8US+t/0pDjT6NMcFJigP59eXIIoKQpKzO3Ae0IrCW3j77//zsUe5tFIHWgVd+7cSTNmzGANJKKjiFIiqvks0x+I1BUpXY01e+bve+bgnxwVLFDc3+7rdqyezo5fjab9qf2r0+w6fueO7aB1C0dToZKVqc+onx/b8QNo43IpSOO+feZUKJ7ouF0Ntv0s7oQR3bmv0QvFrV5TzI2doXsP5S41y7pR65qW1151KrjzCR6tV5y17/y1eK7Mte6ThwgYnCNrUIgCOyqW9rB5DRxDOLzQNPL7lvTgimKdMoXdOYrnbLWvbh/e2+J3lfZMtC/IsX2VS1v+TegHd+tuPH+2eN+XGqXndjHmoF8h9JIBV+KcOvZQeXvx+CaLY+/C8U0cJcld2P6xlxzQDCa+72au6tS5GvAPxcVEJFntezc0ns4HRlvcDp96QBl83KlyuUcVulkyuVP5Uj4WFcDWIJqHYhEUfujgfuH83vzY3dA4euezQJub7oTiPp7jCOwDfM6VfS2/e1V8vTjydvG67WvhzAXfi+foneVrPLmwAkUe6D/Yt1VGal7T8uK/fPHE4+HareSPPVycnLkcS1XLWR4f1cqlZ9suXLONCqNw5dbdOKpWPr3Na4JC4kwFR88CHHv5ilWjSycs172LJx4eew9Tto+Lm7sX7Vk3iY7umGux/fLpbRQfG0X5Szy//q0R5wMp4sIVyt+5hU3vPziGkZev8c+3t+ymPK0bkpvXo+93vs4tKCEujm7/9S8ZgZZGCz4MifwhOoY0JVKOiCYhJarryT766CNThao5KKqAU4ZCClTxQh+I15g7f40aNeLXo5IWP//xxx9czPHpp4l9h+wRHR3N74loISJjQUFBXGyC+86QL18+jrDhd8GBRMpV/31PmsLV08IoTEFBhq5PTApo+lDti8IS2ISqXThv1nbA+UM1Mz5r/G8PFNogAou0MCKacG6//fZbdqyf5m+yx4ut36Sfv+pPq79/m/zrdKGr5w/Rv5vnU6NOI7lVRnRkON2+cY6jhOjfd/PKKfrnz7mUv5gf9+q7fvGIpe35S5G7hydtXPwBF4682OoNfr05mbPnoyzZ8zll31+H42hAK0/q0diDDpxNoCJ50vFUjj/3x3PhBiIVebKhMlajBw/16NsOx1HX+nBwEvvaocmzfwl3+nnbo5POnpPxNKClF7Wu6c4tX0oWcKOGlTxox5E4diCdZdO+GBrc2Yf6tU7PrVmK53enxlW9aN3uGD4JenuhghaOZ2IbGfDn3mjq1dyHU1nHLsSRXwkPqlLGkxZteFTJvX53NBd3vNHBh7YdiKHMGdJx82ikW/EaZ8HvGtIlAw1o7UP/nky0r0lVL1r7dzTbhygeKnzh8OkRuz/2RnPTadh77EIs+ZX0ZPsWbogwOR6b/4umNrXTU1hEAp28GMcTJtDzEH3/zl51zjmt0uRNWj+3P21ZMpx8q3ehm5cP0ZEd86lmq8RjD22FMPkDUUKfTDmc/ptrtBpB677tSxsWvE4V6w+gyPDbtHfDF5SnSEUqWt6yRVFyoKffsbMRNPyVfPTj6tsU9iCeurXOSQ8i4umPXYkXmbpjhwpX9PIDfx8Mpy7Nc3Cj58VrEos5+nTIRZeuRXNlL5IocC7tcSc0zuFj5mzYE0nDu2em1ztmot1Ho6lkQQ9qVjM9rdoeadq3+XO5cwWwvm9/3x1J/dpk4p+PBsTyhQCaK89dHW7atxv/iaR29XxYc3omMJYLjdrW8eGegMcvODcFYt3OcBrVNzsNeSkr7TwUSaULe1KrOhno1y3hfHGDVHPB3B50604c/x6wdscDeq1jVgqPTKDDZ6Kpsq83T/yY8+s9etagYnfjggFciVumame6FXiIju1aQNVbjCCPh8fevVvnOEro7LEHp7Ji/de4h2D6TDmpsG99uht0lg5unU1FyjWhAiVrPTP7kbrNVL4UO32o1gUBn8ymivOnUOyde3Rz3TbK274JFXi5NR3sOdz0uvPT5vEUkOrr59HFrxZSxjLFuD/glXm/GNbjL0E0fykHihMQqYLThdQqHAq0SFm0aBG3KbHn/MFZnDt3LhdKwOmDc4dKXlT26qBlCW5w/hB9Q7Tqk08+YYfHEXAo4dzMmTOHI2XQzUHzh4iXM6CIAsUrU6ZMofDwcE6r4j2RAoWDikKOJwGFIGhtg7QrInV58yYduULU8vbt2/yZAERQJ0+eTKNGjWI7UE0MoGWsUaMG6/hQcGIP/C78PYgiIo2OohOkkxFRhA7wWVKsbG3qPGgW7Vo3k1Z8M4QyZ8tLjbuMpprNBvDjQYEnaOn0vtTmlU/J/8XOdObQJs5/3bh0jH6caiuc7zniRxbwhocG88/LZiS+jzl12w6leu2GOWXfhRsaLd0aR02quFPvph50/wHRH/sejXcrkDMdDWzjRb/tjKWDAYmLCP73cIulun6o5vWku2Ea/bIjlqeE6Jy7ptGyv2J5BFyNsu6s+Vv3Tyz9c/LxFqKAq/G08Pcobsr8WlsfuvdAo7W7oumvQ4knycK53WlY1wz006ZI2vdwfBv+93CPYiexZnlPjrgs/jOSDgU8cuouBSXQrJUR1La2Nw1o48NFKOgnuGZXtF3BvCPgiM1fH0mta3mzfaEPNH4PfbwbTuxvd81ISzZF0t6TiTbjf/Rqa1zFi2pV8GTH8Mc/Ik0NnsGfe2PYgajn70V1/b3YUfz7WAxt/Mf5EWAFS9Wi5n1mcsPmP38YwtWUtVqPoooNEo+Z29dOcIVuw5cnk28124p4R+QrWpnaDfqBp3psXvwWN+wtVqEp1Wo7mtzcHn8ixNS5N6h/l9z0SqdcnP49fSGKpi0ItpjuMahbbsqTw5MGfZTYaiMuTqPxX1+j17rmpsE98vKUCkT8Fq4ITlLL9zicuRxH360Kp3Z1fejNzpnoXngCrfgrkrY8rMotks+DRvbMQot+D6d/jiXub/zv4f6AR7ehhQuigQvWhdN/px9dVG7YE0XhERo1rOrNz0NLlZ2Homnd3863mTp1MZa+Xh5KnRplpLe6Z6O7YfH0y6Zw+uOfxAuIYvk9aEy/HDRvdahpNBv+h9Sh5YsZqH5lH440f78ylPadeLyxcs4AR6xJzxnsqG1ZMpQyZslLNVqOIr96/fnxkOsnacO8V6hel8lUpqrj85c1lRq9Sekz5qCT/y6l03uXcXVw2ZrdqEqT5CVMj0OWyhWo9tbFdOTVMXT1x1W8Df+7eXtRif8NoEL9unAkED0Cb/y60fS6B2cu0N5WA3i8W5XlM9lxvDhjEZ0dP5OMQnPBqN2zIJ2WVmebCIaw6FHXHeXo15Do/fnPfqF/Fkx+1ZvenmGMINoZZrydmYZ9ZdlDUiVmDc9C09eoudSN6JCOOg0NIFVZ9XVpGjTFuVm/RvDdmBzUb7zzbUlSmkXj89JnK9SMLo3u4ka/ezrfSzalaRP7/Ee3Nu9jKSd7UjYtti22URkZ7yYIgiAIQppEc8HpHM8Ccf6SAClUfeKFI1BMgr59zxPoD/V2LfaAZhJ6P0EQBEEQnEdLo2lfcf6SAE2Z0Q4lKZztB/g0wMFMKjsPDaUgCIIgCIIziPOXBMkVWaQU5s2gBUEQBEF4NmhS7SsIgiAIgpB2SEijaV9DmjwLgiAIgiAIxiCRP0EQBEEQ0iSaVPsKgiAIgiCkHTRJ+wqCIAiCIAipHYn8CYIgCIKQJtGk2lcQBEEQBCHtoKXRtK84f4IgCIIgpEm0NFrwIZo/QRAEQRCENEQ6Lam5YYKgKE2aNOH/t27dSiqisn0q2wbEvtRpGxD7UqdtrmCfYIlE/gRBEARBENIQ4vwJgiAIgiCkIcT5EwRBEARBSEOI8ycIgiAIgpCGEOdPEARBEAQhDSHOnyAIgiAIQhpCnD9BEARBEIQ0hPT5EwRBEARBSENI5E8QBEEQBCENIc6fIAiCIAhCGkKcP0EQBEEQhDSEOH+CIAiCIAhpCHH+BEEQBEEQ0hDi/AmCIAiCIKQhxPkTBEEQBEFIQ3gYbYAgOGL//v1OP7d69epkBF9//bXTzx06dCilJCrbBvr27ev0c3/88UdKSVS2zR5xcXEUEhJC8fHx/DPat8bExNCxY8eoffv2RptHp0+fprNnz1JCQoKNfZMmTRLbHBAdHU3Lly9n+/R9C2Df8ePH6c8//xT7hCdCnD9BWfr06UPp0qXjxTgp8JxTp06REaxcudKp58HGlHawVLYNFCxYkFRFZdus+fvvv+ndd9+lO3fu2DyWPn16w52/hQsX0tSpU/m++fcZ96tVqya2JQGcz9WrV1P58uXZGa1cuTJdvnyZHf1+/foZbZ7y9glJgAkfgqAiV69edfomCGmVTp06aa+99pq2Y8cOrVKlStqWLVu0H3/8UatWrZq2efNmo83TmjRpok2bNk2LiorSateurQUFBWmnT5/W2rRpoy1cuFBsSwLYtG7dOr7ftGlT7fz581pMTIw2ZMgQbeLEiUabp7x9gmNE8ycoHX2xvuXOnZtTDXnz5qU8efKYtquWrl62bBmFh4fTuXPnOCWnCirbduvWLU5Vjxw5kiMHf/zxB124cIFUQGXbsB9hV/369alcuXKUIUMGjpqPGTOG5s+fb7R5FBQURC+99BJ5e3tT2bJlOULk6+vL9v32229iWxLcv3+fqlSpwvdLlSpFJ0+eJE9PTxo0aBD99ddfRpunvH2CY8T5E1wCpGOmTZvG2r62bdvSjRs3ONX1wQcfUGxsLKkAHKpu3brxiXfChAl09+5dthlpt5s3b4ptSYBUUbt27WjVqlWsE4qIiKANGzZQly5d6MiRI2JbEri7u1PmzJn5ftGiRVl/BWrVqkXnz5832DpiZ1TXgxUpUoSdVVCyZEm6du2a2JYEOXLk4IsNUKxYMdO+zZ49O92+fdtg69S3T3CMOH+CS7B48WJas2YNffTRR+Tl5cXbmjZtSlu2bHmswobnyfTp01krtHnzZtZagVGjRnFU4bPPPhPbkmDKlCmm/YnIgW5z48aN2UkV2xxTunRp2rZtG98vUaIEHThwwBTVUgFEhr7//nuKjIxkbRhsRXEF7MyYMaPYlgSI5uJiLSAggKpWrUrr16/n6ORPP/1E+fLlM9o85e0TkiCJlLAgKEPr1q21TZs28X3omgIDA/k+tjVq1EhTgYYNG2oHDhywsfHgwYOsjRHbHFOjRg0tICDAxr5z585pVapUEduSALq+cuXKaT///LN2/fp1zc/PTxs4cKBWv359bdiwYUabp505c0arU6eONnfuXC08PJy/r1WrVtXKly+vffHFF2JbEoSGhmpvvvmmtmTJEi0hIYG1nb6+vlqFChW09evXG22e8vYJjpFqX8EluHr1KuuZrIFOJzg4mFQA1ZbQJFqTJUsWThUaicq2AURb9FYb5jx48IDTmkaism0AUclff/2VbcmfPz/NmzePq1ibNGlCb731ltHmUZkyZThqiuMM0bRffvmF1q1bx7a2bNlSbEsCfD/nzJlj+hlRSnQ2yJUrF2uejUZ1+wTHiPMnuAQo6kA6oVChQhbbd+7cSYULFyYV8PPzo40bN9Lrr79usR0pEKSUjERl20DdunXpu+++o88//9y07d69e/wztGtiW9JUqFDBdL9GjRp8UwlIDXS5ARyD/v37kyqoZhuKstAyxcPDw2GvU1x4QItqRH9T1e0TnCMdwn9GGyEIybFixQo+2Q4ePJj1Vu+//z4FBgayFhCVeT169DDaRDp48CANGDCAnYUdO3ZwkQAE9ydOnOCqy5o1a4ptDkDRCRorh4WFsWMF7RoE99myZaMlS5YYWtGtom2wB1pXRF70fpgqNaFGlB79B3PmzMnR+aTsS+kenSrbBmDT7t27Leyzd5o2qr+p6vYJziHOn+AyoJP8N998YxKyo9Js4MCBhl+pW08LWLBgAbc8QKoQYnw4XRUrVjTaNKVtAxDdQzCOE4ZuX4cOHShTpkxGm6acbe+99x5XuuP34+InKQfm008/pZQGldFt2rTh4izcT4pOnTpRSqKybQAXFgUKFOB9mlzFsREXHqrbJzhJEnpAQVCGa9euafHx8Xw/JCREu337Nt+PjY3Vjhw5oqnAqlWrtOjoaJvtDx48MLxhrMq2gTFjxmhhYWE22+/evcuCciNR2TaAQgWV2bNnj6YqKtsGvvrqK1OBkYqobp/gGIn8CS4BUjVINSDaZ86lS5c4AmNUvzUUUkRFRfF9COzRGBY9rsxBpG3EiBF09OhRsc0MtNO4cuWKTSTLHKSmkVo9dOiQ2OYA6K+aN2/OUSpVNIjW310UUHTs2JFtVEWjq7ptejEPomtoSdO5c2cuQlGhBY2r2Cc4Rpw/QVlQjIA0JcACg0Xazc3NpsM8RNooZjACzLXU0274KtlLv2F7gwYNuGhAbLPUIfbs2ZPvO9INoQkvUtMpPXtYZdvs7WdUqP777788+UY1RwbfXdiHtDkcZjgKsK9Vq1aGOwoq22Z+LMI+rHG4mGvWrBnbWLt2bVIB1e0T7CPOn6As0FmhGAGH6OzZs1nbZ70g42dEPYzUlqDiDTqwV155hWbNmkVZs2Y1PQbHAU4CWkroDYLFNlsgHIcIH468aqhsmzmYqICTMJwZRHT1aAwmkagC7IJ9GI+H4hl8d6dOnUoqoLJtAKMYcRz+/vvvtHXrVi440pt7q4Dq9gmWiPMnuASobHz11VfJx8eHVGXfvn18wkULBNVQ2TZ76WrYiUpW1VDZNh2MO0S/OlTFo3+dahWXqDCHg7V06VK+APnvv/9IFVS2DfOl4VhhxCDaXqGdD/o5qoLq9gmWiPMnuAzoHbV27VqeH4kTMCouW7durUQ1qM7x48c5WqnbiGHniLr5+/sbbZrStuktSdAkVp8VikgbHP5+/foZbZrStunAUdEjV5hX26JFC478YeyW0UA/CdtwQ/83tBZCeho26j32xDb7M7nhTME2RPFRZYuUKm6QwRiN6vYJjhHnT3AJrl+/Tr179+aTb/HixTmViYUavaZwla7CHElE16ABQxq1WrVqbCP0MHC2fvjhB0NPwirbBpYtW0affPIJ6+zQGBbLEk4m2D5u3Djq2rWr2OaAL774giMuaIEE+3DihfDeaMdF5+WXXzY1aNf1iHASVEBl2wAuzCDJQAoa6Xt8d1VCdfuEJEiiElgQlAEzSnv06KEFBwebtuF+r169tBEjRmgq0L17d23cuHE228ePH6/17t1bMxKVbQMtWrTQFi9ebLMdM0Pbtm2rGYnKtoEmTZpos2bN0q5evaqpCFrl7Nu3T1MRlW0DK1eu1CIiIjRVUd0+wTES+RNcAlxRovLXOkWJFiVo9Lx3714yGjRLXrlyJZUsWdJiO6oIER0ysiWIyrYB7FcUKxQpUsRiO6a4tG3b1pBWNK5gm6uDaKUKUXuVbUMhBTIeSOUDnLJjYmI4Ytm+fXujzVPePsE+6qu/BYGIh9bbK/bw9vbmhUYF0EPv7t27dosEME3ASFS2DSDVBk2itYOFE4jRVbYq2waio6N5+g1S+PoJGOB7AbuhyTJaU4eqWXP7dAcBxx+qbMU2+6B69t1332VbrEFa32jnSnX7BMdYNk0TBEVBpeqcOXO4klEH97/99lt+TAUaNWpEEydO5Giazrlz52jSpEnUuHFjsS0JunfvThMmTGD9JsbQ4YY+jx9//LHhrUpUtg1gH2LudUBAAK1Zs4Yjkrt27aINGzYosW/xOZ05c4YLKDAnGaPVKlSowK1pxo8fL7YlASq2y5cvz3044Uyh6wHmmqPIDfvcaFS3T0iCJFLCgqAM586d06pVq6Y1aNBAGzJkCN/q16+vVa1aVTt16pSmAvfu3dM6deqklS1bVqtevTrfcL9jx47anTt3xLYkwOi+SZMmaRUqVGC7fH19+f7EiRNNY/3ENvvUrl1bW7duHd9v2rSpdv78eS0mJoa/I7DRaKpUqaL9+++/fL9Dhw6mcYzTp0/XBg8eLLYlgZ+fn2l9g+ZZH0f322+/sY7XaFS3T3CMpH0FlwBaNUwyQPQFEQ6kZtq1a0c9evRQZng4GihjhBqiLrqNvr6+VLduXZvJJGKbJbABI9TefvttunDhAm8rUaKEEm18VLZNn3KjR7/RvgepStg3aNAgGj58OH344YeG2ocUqp4yR6U+Im3QUaK6tk+fPmJbMnKXzJkz8/2iRYtyehqTMzDGT4UG1KrbJzhGnD/BZYCTN2rUKFIZOAoYl4abaqhsmz7R5eLFi3xChnNq3pwYLUzENvtg3jUE99AmFitWjE/Aus4T6UsVvrewCX3f4GDpnx3aDaF3p9jmGPQyxZQMOKJw6DFzGr05UYyiAqrbJzhGnD/BJcDMyLlz57KAHfeti9TRhNdo0HcQURbdRmuMnLSgsm1gx44dHKWyt28xacFI+1S2DdSvX581iZ9++in3a5w8eTLPV4XmT4VqVfTOGz16NH322WfUsGFD6tu3Lzuqu3fv5uiz2OaY119/nd566y3upYfKcoxoxDZEKBFdMxrV7RMcI61eBJfgvffe45NZnTp1LObT6uDEZzQ4cQQHB1O3bt3s2ogTjVGobBvAiQNRqyFDhtgdnWZkal9l2/S075gxY/i7gUbUOPkivY8pLki9oYjBSHCKQSNxfIZwsDApBQUCiLahKKBcuXJiWzIj55BexYxpNGvHyDTYB6cL83ONRnX7BAckoQcUBGVAYce2bds0lfH399eOHTumqYjKtoEXXnhBu3TpkqYiKttmj4SEBO3EiRPazZs3LbZDhB8eHq6pChouh4SEaCqism2gWbNm2rVr1zRVUd2+tIjxSm9BcAKk1yBmVxlc5aLvoIqobBtA5AWRSRVR2TZH3xW038iTJ4/Fdoyos9ePTRXQj1AFnZ2r2QZwfJr3eFQN1e1Li4jzJ7gE0DBhQoXKYPbwl19+SREREaQaKtqGec36Db30xo4dy01j0XjX/DHcxLanR3WFj8r2qWybIDwJUvAhKK3z08FV96pVq2jPnj0cibFuT2KU5g9NdBFp0bl27RrVrFmTJz9Y27h161axLQn7cIJ97bXXbLYZUVShsm2CIAhPizh/grJcvXrVZr4vUCnagkIJc4dAJVS2TZUKbVe0TRAE4WkR509QlsWLFz/2a1asWEEtW7akjBkzUkowbNiwJ4pool8h+rOlVdtAjRo1Hvs1zZs3p0WLFnE7jrRqmyAIwtMimj8hVaG6qF118bjKtqkuHFfZNkEQBHPE+RNSFa4gzFbZRpVtE1I3KksUVLYNiH3C4yLOnyAIgmA4Kl94qGgbRg3qoMmyapi3R1LRvrSOOH+CIAiphHv37lFYWJjdxzChxMiJC5cuXaJNmzbRli1b6MaNGzaPYzJE3rx5U9SmY8eO2d2Oz/Ddd9811Dbwyy+/2N1+6NAh6tChg+nn/fv3U+HChSmlwQQUezIbFOtBA2u0fYJjpOBDEATBxZk3bx5XKOvRlkKFCtHAgQPp5ZdfNj0HrWqMIDw8nEaMGMEj5/QIGtKArVu35hZNXl5evK1SpUopbhs+ExTpmI9x27ZtG40bN85Cv2mEbeDjjz/mMX2dO3fmn6Ojo2n69OlcDIc5zkbw22+/0dq1a/k+9icuKjDb15xbt27ZHYUoqIM4f4IgCC4M5tHOmTOH+vTpQ5UrV6aEhAQ6cOAATZ48mR83dwCNKsK6ePEi26nbd/DgQZo4cSI7MphLbBTt27enfv368XxfzKOFTevXr+d5zu+//z4ZzbRp02j06NHclxMOPWxCdHfChAn00ksvGWJT06ZN+fjSyZcvH6VPn97iOWXKlKGOHTsaYJ3gLOL8CUIKo7L4WWXbVLfPKNt++uknGj9+vMXJFifokiVLssNltPOHNC+c0+rVq5u2NWzYkCN+77zzjqHO3wcffMBRKziAiLDBprlz51K9evVIBdC2CnaNHDmSYmNjOZX64YcfcqN2o4B0wLypPj7DTJkyGWaP8GSI5k8QUhgVxeMq26aysF0FUXtoaChVrFjRZjucrZs3b5LR4HPJnDmzzfbcuXNTXFwcGQ0iaxjhB+0aRiCq4viZO/IzZ85kxxTOn5GOnzVwAuH43b5922bsoUrN+AVb0mkqrvaCkARIezg6oUD71K1bN7uPpaSw/ezZs5yqqVChAqeTzDl8+DCVL1/epHVKKWG7n5+fXWH7pEmTaOrUqYbZpgvb7UWoIGxHqmvjxo1kFNCD7d6926bxNUTt7dq1YxuNBFGhrFmzsk7NnK+//prOnz/PDo2RIOqHz2/GjBkmxwU6QBRU4LMdOnRoitrTt29fu9tx7GfIkIFTlkZOeilbtqzdKLI+TtAco0cL7tixgxvD371712K7jD5UH0n7Ci6DyqJ2IML21CNsdyVRe86cOennn39mHRYmk+BzPH78OP3333/UpEkTixnZRszA/vvvv/niA7ZgLjfswwUSmonDOcDM7pScMV2wYMHH2p7SQKupsrzBWs/p7+9PPXv2tNH9CWojzp/gEqguagcibE89wnZXErXDgdKd9tOnT1vMwkZKGDcjefHFF/mmCvYcYEgL9IszpMqNaOuio18AmUfnEVkrUqQI/4x2OXDyjWzbY34B9O2331KJEiWMNkV4XJD2FQTVqV+/vrZq1Sqb7b/++qvWrFkzTQWqVaum7du3z2b77t27tdq1a2tGM3XqVK1mzZpanTp1tEaNGmk7d+7UVGLz5s2av7+/Vq5cOe3tt9/WgoODNRUYM2aMFhYWZrQZwnMgJCRE69OnjzZ9+nTTNnxX+/fvr927d08zmuPHj2s1atTQpkyZYtqG7y6+w2fPntWMZtCgQdratWuNNkN4AkTzJ7gEiGwgPVS8eHGL7ZcvX+ao1pEjR8hoatWqxalVaHbMCQgIoF69etG+ffvIaL766iuOTCJNaK9IwGigIXr77bc5oot0uUpA1G5efKJToEABMhpE95BKtbYP6UNEAI1m+/btrIO1Zx9S6kbqJQMDAzlqr2v9Tpw4wdXTpUuXNmUWjAKZDkTCEQHXI5Mokhk7dixHKBcsWGCofUFBQdS1a1eO7KKJs3W6OqX1nILziPMnuASqi9qBCNtTp7BddVH7ihUr2DlAKxDr5VwF+6DnXLp0KWsTvb29bexLCZ2fI2rWrMlSCOsLNmgmX3/9ddqzZw8ZCeQj0J5aT8eAvAROl7k0wQiwHqNYK3v27OTj46PUvhWSRjR/gkuguqgdiLA9dQrbVRe1ow0IRn1B06mifb///jtH0tBORTVQ7GQv/oHinsjISDKajBkz0pUrV2ycP2jtUroi3x7QDWO97dSpk9GmCI+JOH+CS6C6qB2IsD11CttVF7Xfv3+fXn31Vb7gUBFcBCHCpiLohYhiLGQO9EbFiNYjem/elNooWrRowVFdOM+4AAG4wEQ0tVmzZkabx9G+KlWqGG2G8ARI2lcQ0gBoYDt8+HBOI/3vf//jbXBUke7CiQ8pdSOBzmrAgAHsECJNDho3bszO6sKFC1l/ZRRvvPEGtWnThnv6qcioUaPohRdeoFdeeYVUZPbs2ayrQ4W5CtEqc2AX9LiIzuvOM6L1uOBAaymjHf6IiAjWwKJ9lHmUHI4fIudGT9bAvkUKGvvWOu0rqI04f4LLoLqoHYiwPfUJ21UXtSMyCccU49wQNbW2zygZhM6FCxeoR48e7Mhgqoe1fUbrwhBxRmoahVmIUpYqVYo/T5VS6PgMsa4gHY39rEqUt3///rR//36TNAefn0r7VnCMpH0Fl0B1UbszwnYjnT/oESFsNy/ywPSRjz76iIXtRgP9JhxQ88gQTiSwDY6X0YU8qPRF9MWeqN1o5w8TWhC5wgXHtWvXSMXIJJphd+nShQuNVAPTgFTUI5qDCKTRUUh7oAG7EU3YhadHnD/BJVBd1A5E2J46he2qi9p37txJ33zzjXIzaXUQUcPEFPMLDyNBFTy6BMAhdVQRb2QVPDoD4GINF5GOKuJ1jL7oNfrCR3hyxPkTXALVRe1AhO2pU9iuuqgdbTZU6DXoCKQp8f1VBVS7Y5IMwOemWsU5IuD6bHJXqIhHAR5S0phoBHCRiSg0vr+ISgtqIpo/wSVQXdQORNieOoXtqovaly9fTn/++SfrI6H5c3d3J5XYsGEDNxfHxRvss9aFqXDxITwZKMaaOnUq38f31nymOXTYmM0tqIk4f4JLoLqoHYiwPXUK21UXtTdv3pyuX7/OqX0VU4PWDZSN1uvq+9IZjHBMkZJ2BqN1xPoM7FatWnH6t1GjRtzLFDO5UWAGrS5kOoKaSNpXcAlUF7UDEbanTmG76qL2N998k1TGaOfYXmW5eZTKEUYVkq1cudJlnD9Uwr/00ktc4AYnH6leOIRjxoyhKVOmiPOnMOL8CS6B6qJ2IML21ClsV13UrmohimoTZVR1Rq3Ztm0buQq4yNUjzsjInDt3jp0/RO1VvUgXEhHnT3AJVBe1AxG2p15hu2qidowz/OCDD1gLaT7a0Bp8pkb0cMSIQ1wI4XuLZt1J7duUdsasndF9+/ZxT0l9Og80bLBfhd6hOM6gOcWscD1q361bN06xovm40aAQ6vvvv+cZv+XLl+d9jvZMGMOJCn5BXcT5E1wCLHRoUKyqqB0MHDiQ3n//fWWE7eY6SKRgVI5YWY96cyVRuxFcvXrV5Ijivor7VteS4r6qjj00sJgog6k3uvOHiBXSlShSQRTLSFCNv2zZMi420mndujVnQYDRDuCIESN4Ms9PP/3EemeMQcRIRrSPwjooqIsUfAgugeqidiDC9tQpbE8tonY0Sm/ZsqWyERlEMKGbzZEjR4r9ThQ8IZLWu3dvGxkEPq81a9aQkTRs2JAjy3Xr1rXYvmPHDm6DpEIKOyoqiovcsN/QDB19MfPly8fHms7ly5d5go+KF+1pFYn8CS6B6qJ2oMJCbI4I258NqUXUjsg5ojKqOn9oVzN48OAUdf7QAqlBgwY22+Hkf/HFF2Q0uMiwp5lEFXxwcDCpACK8epQX6Wl73wdEf+FIWzdxF4xDnD/BJVBd1A5E2J46he2pRdSuepLHCPvy58/PEXJrp+TQoUPcrslocLGBiyREmc2BI4VWTa6C6sdeWkScP0FZVBe1AxG2p35hu4jaUy/QqUFPhwhgxYoVeRsiu5iDjSik0SDiPWjQIPrvv/+oUqVKJvsOHz7M3xdBeFLE+ROURXVROxBhe+oXtouoPfWCiUGo2obGD/sV5MmTh78n1jpAI0BrKxx3S5Ys4bZIKCJDxBkXIElpjAUhWVDwIQiphd9++00LDw/XVGbMmDFaSEhIiv7Otm3baosXL7bZ/sMPP2jt27fXjKZBgwbarl27bLZv375da9y4sWY0kZGRpn0WHBysLVy4UNu4caPFcy5duqTFxcVpqlKpUiUtMDBQUxWj7btz544WFhbmkuuKEWuKK+1bwZbEJmCCkEqAqP3OnTukMhC2Y1pJSpKUsB0zfo1GdWE7ort6IYIuajevZtQjv6hIF1wTSDcczZBWfV0xYk0RXBtx/oRUhSsIi40UtlujmrDdGlcStrvCsacyqkomXGHfqm6foB6i+ROENIAI2wXVEQdGEFIOcf4EIQ0gwva0Afaxl5eXQwc7W7ZsZBRIiZ8/f54biiNFiZnO1pNU8ubNa5h9wvOjZs2apsI4QQ3E+ROENALGz+F29+5d8vT0tKtvMnIKROXKlfmm2hQIV+Dnn3+muXPnckNq6L/mzZvHjpR5VPe1114zzCFFpfnGjRt51jTsQ5shOICzZs0yHYd6xFdwLdatW8cOPaZ6zJkzhzZs2MDtkdCmC43RgX7BKaiDaP4EIY0hwvbUd/LFNAoUnMCpB4ia4oS7YMECo83jdj2nT59miYHuDGD6DEZ+TZs2zWjzhKcAzh6cPER10fdy5syZfAG3d+9e2beKI86fIKQwImxPvfYZARw8nICHDRvGkTXQt29fbkq9fPlyJXpMjh07llN/OriPCw3Vp9C4CkatKcgUIIqLSB8uzBC9hbYY+/aPP/4wxCbBOcT5E4QURhwY4Vly8eJFu1Na4GDduHGDjObmzZs8Fs9eBXpoaKghNqU2jFpTbt26ZZJq7Nmzh+rWrWvat/fv3zfEJsE5xPkTXA5oiBxhtKgdIAWya9cuioqKopCQEJvHRdieOjFK1I6+g3AA7bXxQVGP0SAF/c8//9iNCKrUxkfldUXVNQU6Pxx7SOFj5nWdOnV4O6r28ZigLlLwIbgMKovagQjbUy8qi9oxA/njjz82zb++cOECV0xjbB+qvI0G6WhUlcM5iI+Pp1WrVrHDgO/Hl19+abR5Sq8rqq8pmMM9fPhwrjD39fXlKCCq9j/77DN66623DLFJcA6J/AkugeqidiDC9tSJ6qJ2VHBjDjJmEGPeMPolQnPVrl07Q2cim0+RwWd2/Phxcnd3p/nz59OVK1fY8WvRooWhtqm+rqi+pmC29ZQpU9g5XrRoEW/LkiULazxl7rXi2Bn5JgjK0bFjR23lypU2cyJ//fVXrXnz5poKNGvWTNu9e7eNjXv27NHq1q2ruQKqz+CsXLlyituH2cIbNmzg+5988onWrVs3vr9//36l9mtERIR29OhR7ciRIw5n1BqByseT6uuK6mvKkCFDtHPnzhlthvAESORPcAlUF7UDEbanTmG76qL2xo0bc2Tt9u3b5OfnR/7+/g5b+RhBs2bNqFevXlwZGhERQSqh+rqi+pry77//miKSgmshzp/gEqguagcibE+dwnbVRe2dO3dmDWLz5s1NTpZKvRAXL17M3w3owPDZjR492u73xAhUX1dUX1OQLkf6OSAgIMl1RVCQJwkXCkJK8/3332tNmjTRtmzZwumP7du3a0uXLtVq1KihzZ49W1OBbdu2aRUrVtQmT56s+fn5aTNmzNCGDx+ulStXTvvjjz+MNo8/r0aNGrE9SB+NGzdOmc8uOjqaPytfX1+TfUgp9evXz/AU5rx58/g4Q5qtffv2vG3JkiWav78/P6YKSPdOnDhRq1OnDn9HRo8erf3zzz+aKsTExGibNm3Shg0bxp8djkV8R4xE9XVF9TUFaWl8Z8uWLWv3JqhLOvxjtAMqCM4wffp0Fj5HR0fzz5j/imqz999/39Tc1mh27txJ3333HZ08eZISEhKodOnSLMhXQdg+YcIErv5ENeP69evpr7/+4qt2VOsNGDDAUPtmzJjBTWHHjx/PRQpr167lKCAqWOvXr8/bjQSfVWBgILVv354npODzxHHYtWtXUg0cd6hgxfcFadZTp06RSmCCzOrVq2n27Nkc4T1x4oSh9qi+rqi6pgBUbicXGRTURJw/waVANSNSbzhsS5QooZS2CRWMhQsXJhXBIoypD/gf+jU4V7D1t99+4zYXaCFhJEhZwsF78cUXLexDygtpQqSCjWLo0KHcqgQpOJWBRg1OKW7nz5+nGjVqcEoYDqvRwAndvHkz2wadWMGCBalDhw58PEK/ZjSqrisqrymCayN9/gSXAKL2jh078skConYVgbC9atWqfMJt1aoVZciQgVxB2I4ecUajsrBddVH7smXLOJJ78OBBdqr070mBAgVIBeA4b9++nUeQtWzZkluC2DsWjUD1dUXlNUVnx44d3L4H/SUxTnDlypX8XYZzL6iL8TFtQUgFonYgwvbUKWxXXdSOpr+IDiF1iegainZUcfwAqpA/+ugj2r17N02ePFkZx88V1hWV1xSAfYrIOI43VL4jLR0XF8dyDaT2BXWRtK/gUhw9epRTgtCHYZHGoo2Tc61atUgVYmNjOdKBFBeuinPmzMnRBSM73iO1i6tyLMrvvPMOT3+Apk6fAmE+zcAoTR0iRJhWAb0amsaaT4EwUt+EYwx6P0Su7GG0pg4pVRUjQq6E6uuKimsKgDYS0dx+/fpZyDWw3uA+7BXURJw/wSVRXdQORNieOoTtKora4cRj6gi0afpYN0d8+umnlNI0adKE9aQojkFq1ZHjDLZu3UqqoPq6otqaAodvzZo1nOY1d/6gVWzbti0dOXLEUPsEx4jmT3ApHInaVcGesB1jjlSoesP4rzfffFNZYTuqenFTDRX2nTVXr15lR0W/r+Jnlj59etP9pJw/FVB5XVF5TcmcOTM3QbfW62KNyZo1q2F2CckjkT/BJVBd1G5P2I6Th4rCdhWrB8uWLau0sN1VRe3BwcGUO3duo81QFtXXFZXXFPD555+zBhFazp49e9LSpUvZGUTlPlLnY8aMMdpEwQHi/AkuAVIK+uJXvXp1UhEMXO/SpQunKX18fEglvv76az7JYUpFlSpV+HPE55kxY0ZSgf3793NkAxo/FFWgyhEn4dq1ayshakfvwTZt2nBxAIpQ9BY5OOnBYTCScuXKsY05cuSw2I6IYLt27biox2iwb/G9xUSUOXPm8OeI4xCpayMrqVVfV1ReU3QtIhw8fCcAnFS4FA0bNuTenSpXyad1xPkTXAIRtT8bRNieOkTtcD7xu8G+ffvYLk9PT4vnIAKD/nX4HI0Ezt63337LLV5wukFV7UsvvcR2I80PB9AoZF15NuCiEvpISBHKlCljeIW+kDzi/AnKorqoHYiwPfUL21UUtd+7d49bvOgFKUiV6xo7HUR14Ti/8MILZCT4jqDCHDYiUooLEKRbMRsZac2UbuCt+rriqmuK4FpIwYegLKqL2oEI21O/sF1FUXu2bNksHBPdmVERfHZwmsGePXs4iqo38EZvuJRG9XVF9TUF+lxnbVLtolJ4hET+BJdHRO3JI8L21CtqhyOD1CoaeSNFDdAvsVGjRqxVNBroNzFFBscatGuIOOvRVNht9GhBR8i6Yh8UO+nO37Vr11j+gONNlx4cO3aMfvrpJ+4sgIs3QVHg/AmC6pQtW1YLCQmx2X7lyhWtUqVKmiqsXbtWu3HjBt+fPXu21qZNG23s2LFaVFSUoXbhMxozZoy2b98+TUV69+6trVq1SouIiNBUIyYmRhsxYoTm6+vLNxyL+H/QoEGG71fw5ZdfajVr1tQ2bdpk2rZo0SLe9s0332hGM2/ePK1GjRpa3bp1tfbt2/O2JUuWaP7+/vyYkbjCuqLqmgJ69eql/frrrzbb16xZo3Xu3NkQmwTnkMifoCyuJGoHImxP3agqam/QoAF98sknVLduXYvt+E4g4qaCLmzbtm2skWzfvj1r2ZDaR7Pxrl27prgtrrSuqLymAH9/f96XRYsWtdh+6dIlboMkTZ7VRTR/grI0bdqUDhw4YPoZbSKsRe04CRvdakMHc0EhwkcLC6QIK1WqRBMnTjQJ21N6oTYXtsOOpBBhe/LgBGd9klOB0NBQTuVbU6xYMU5dqgD2rzmYU2vdmialcKV1RbU1xRp8H9DmxXo8JHphqnJxJNhHnD9BWVxJ1A5E2J56hO2uJGqHrdBhjRw50mI7NHUqnIBx7EM32bt3b7YHc5tR0APn9Pvvv0/xpuOutK6otqZYgxZMuME2Pz8/Xm/QVxLfCWgBBXUR509wCZDWUlnUrkcQLl68yOksVIIiugFwlY7HUprFixfbvW+NUdGhoUOHmu4PGzaMVAJRFmdF7UYzZMgQGjRoEB9niAwB2Hf48GFulWM0cLRgG/okopob9z/77DNu9Iz/Z82aZZhtqq8rqq0p9op5UAC1ZMkS+vvvv01NxyE3wEWJoDBOagMFwVBUF7UDEbanTmG7K4jaDx48yEUpbdu21Tp27KiNHDlSO3XqlKYCtWvXZvvAu+++y4Uy4MyZM1q1atUMtU31dUXlNQVMnDhRu3z5stFmCE+AFHwILoEriNqBCNtTn7DdFUTtp0+fprNnz5rS/PgMMSYPEcBJkyYZahuikZgog0hVvXr1aODAgdS3b18KDAxkXR3aDxmFK6wrKq0p1mAeN+QFhQoVMtoU4TGRtK/gEriCqB2IsD31CdtVF7UvXLjQNO1Dn62q31ehV2LJkiW5hyN0aviuwpkHv/zyCz9mJK6wrqi0pthznpHyhYRDVd2kYB9x/gSXQHVROxBhe+oUtqsuaof2ENE0nIChVcO4N4x/w3cFFdVGg88Omk7MbcY4PHwfcFzCbqM1iaqvK6qtKdbAQYZ284cffuA53N7e3haPqxA5Fewjzp/gEqguagcibE+dwnbVRe1BQUGcIseJF/bge4GoLyaPTJkyhY9Ho6NDSKPevHnT9Hm1adOGXn75ZcMjf6qvKyqvKaBmzZp8E1wPcf4ElwBaIUQK9BOwh4cHnziga1PhBAxwgsMJA3YhIgQHpl27duTr68saNiOZOXMmj3gz7/fXunVr+uabb/i+0Q4gHNLhw4eTl5cXf16IAmJ/4wSHyJGRQDMHjdoXX3xBKoLm3fHx8Xwf84fhPMP5w3GISmUVgFYNN3Mdpe64Guncq76uqLymAESbjx8/TvPnz2fNKT4/RChfeeUV0z4W1EScP8Fl8PHx4SgCFmwAbRPE9li4jRa161M0kKYEu3fv5lQcgM5OPzkbBVKB06ZNsxC2Y4FG+ggRLKOdP8wALV68uEnYDrJkyUJjx441XNiOz87o6FlSQCeJFOC4ceOofPny7Li8/vrrrPfMmDGj0ebxPoUmEc6B/j3QC1Lu3LlDJ0+eNNQ+ldcVldcUgIIsfHdLly7NjikkESjgwQxspIJRECKoiTh/gkuguqgdiLA9dQrbVRe1jxgxggYMGMARrB49enDVdI0aNbiKGydmo8HFBSqjoePE9xi2IsWPNCYeMxLV1xWV1xTw5ZdfUufOnWnChAkW2/HzV199lWR/UcFgnqQ/jCCkNE2aNNGmTZvGPd/QNywoKEg7ffo094JbuHChpgLbt2/X/Pz8uKce+qyByZMnaxUqVODHjKRbt278+VkzY8YMrVOnTprRhIaGah9++CHv07i4OK1fv378ObZs2VILDAw01LbevXtrvr6+bE+dOnW0xo0bW9xUIDIy0tTHMTg4mL8TGzdu1FSgSpUq2r///sv3O3TooB05coTvT58+XRs8eLChtqm+rqi8pgD0Gzx37pzNdmxTpX+oYB+J/AkugeqidiDC9tQpbHcFUTvSgHobHxT1qPB90EF6F1pEgNT+mTNnWA+GFkN9+vQx1DbV1xWV1xQAHefdu3dttiOdD/2uoC5uRhsgCE8qagcqidr1xdBcKI6THGzEScZIdGF7gQIFWNiOdhEQ2kMfhhOM0eAEBydPT3Ppwnb0+IOtRoJ0b8OGDen8+fO0ceNGdk6RtkQKznxEnWAfyA2g99OdP30WMvRhDx48MNQ2V1hXVF1TALoFoIgM3w0dfIbQSlrLOAS1kMif4BKoLmoHImxPncJ2EbU/HZ06daLRo0ezcw8nGpXTuAjBfkbVqpGovq6ovqagQr9///7cvzFz5sy8LSwsjJ1V7HNBXcT5E1wC1UXtQITtqVPYLqL2pwPOFNKqOOYQtcKkFLQYwr5GA2MjUX1dUXlNAVmzZmWHedeuXRQQEMD7GA49ugq4uUliUWkcaAEFQTlUFrUDEbanTmG7iNpTNyqvKyqvKYJrI5E/wWVQWdQORNieOoXtImp/elBYhAgp0pfu7u5UoUIFPuaQSjcaldcVldcUwbWRuKwgPCNE2J46he0ian86tm3bxvrIq1evsmayevXq7MQglY6qbsE11xTBtZHInyA8I0TYnjqF7SJqf3rNJPRzI0eOtNiO/Q3N3/Llyw2zTXVUXlME10acP0F4RoiwPXUK20XU/nRcvnyZunTpYrO9W7dutHTpUkNschVUXlME1yYdhH9GGyEIwvMnKiqKW6pgZNrt27dp/fr13OsPDpfRoF3KnDlzuJky9Exw+HCyQ9QIKVYVGlELTwacPOxTXHSYg+Nv0aJF7FgLgpCySORPEJ4hImx/MkTYnnpp3749TZs2jS5cuMDOvYeHBxccoUdi9+7dafXq1abnYn8LrrOmCK6LRP4E4RkK2zHxwc/PjypXrszatUOHDrEjg1SmCv30VAXRx/fee4+rfmfOnEn37t1jfSKKLLp27cqfo+CamBfxJAV6TuoFDUIisqYIzwtx/gThGYFxZBBl2xO2YyKECNsd891339GCBQtY2I6qXwjbcdKDsB26xGXLlhltoiCkOLKmCM8LSfsKwjNChO1PjgjbBcEWWVOE54U4f4LwjChXrhz9888/VKxYMYvtx48fF32OEyk/cw0inEHcBCEtI2uK8LwQ508QnhEibH86RNguCJbImiI8L0TzJwjPCBG2PzkibBcEW2RNEZ4X4vwJgmA4ImwXBEFIOaQ9vSAISgvbT58+bYhNgiAIqRVx/gRBUEbYbo0I2wVBEJ49UvAhCILhiLBdEAQh5RDNnyAIhiPCdkEQhJRDnD9BEARBEIQ0hGj+BEEQBEEQ0hDi/AmCIAiCIKQhxPkTBEEQBEFIQ4jzJwiCIAiCkIYQ508QBEEQBCENIc6fIAiCIAhCGkKcP0EQBEEQhDSEOH+CIAiCIAiUdvg/KPT5UETBh9cAAAAASUVORK5CYII=",
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+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "corr_matrix = summs[[\"active_imp_hotel\", \"passive_imp_hotel\", \"active_click_hotel\", \"passive_click_hotel\", \"orders_amt_hotel\", \"active_imp_avia\", \"passive_imp_avia\", \"active_click_avia\", \"passive_click_avia\", \"orders_amt_avia\"]].corr()\n",
+ "\n",
+ "\n",
+ "save_altair_correlation_matrix(\n",
+ " corr_matrix,\n",
+ " \"Авиабилеты + отели\",\n",
+ " file_name=f\"correlation_matrix_avia_hotels.html\"\n",
+ ")\n",
+ "sns.heatmap(corr_matrix, \n",
+ " annot=True,\n",
+ " cmap='coolwarm',\n",
+ " fmt='.2f',\n",
+ " linewidths=0.5,\n",
+ " xticklabels=True,\n",
+ " yticklabels=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "id": "ba233686-2962-483c-866f-6be6a7601c26",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " count | \n",
+ " mean | \n",
+ " std | \n",
+ " min | \n",
+ " 25% | \n",
+ " 50% | \n",
+ " 75% | \n",
+ " max | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | active_imp_ent | \n",
+ " 8,339.000 | \n",
+ " 4.449 | \n",
+ " 3.488 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ " 4.000 | \n",
+ " 6.000 | \n",
+ " 50.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_ent | \n",
+ " 8,339.000 | \n",
+ " 3.406 | \n",
+ " 2.943 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 3.000 | \n",
+ " 5.000 | \n",
+ " 26.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_super | \n",
+ " 8,339.000 | \n",
+ " 5.389 | \n",
+ " 3.721 | \n",
+ " 0.000 | \n",
+ " 3.000 | \n",
+ " 5.000 | \n",
+ " 7.000 | \n",
+ " 69.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_super | \n",
+ " 8,339.000 | \n",
+ " 3.906 | \n",
+ " 2.733 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ " 3.000 | \n",
+ " 5.000 | \n",
+ " 38.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_transport | \n",
+ " 8,339.000 | \n",
+ " 8.140 | \n",
+ " 5.368 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 8.000 | \n",
+ " 11.000 | \n",
+ " 141.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_transport | \n",
+ " 8,339.000 | \n",
+ " 6.278 | \n",
+ " 4.312 | \n",
+ " 0.000 | \n",
+ " 3.000 | \n",
+ " 6.000 | \n",
+ " 9.000 | \n",
+ " 64.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_shopping | \n",
+ " 8,339.000 | \n",
+ " 3.608 | \n",
+ " 3.075 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 3.000 | \n",
+ " 5.000 | \n",
+ " 28.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_shopping | \n",
+ " 8,339.000 | \n",
+ " 2.816 | \n",
+ " 2.624 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 2.000 | \n",
+ " 4.000 | \n",
+ " 32.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_hotel | \n",
+ " 8,339.000 | \n",
+ " 2.001 | \n",
+ " 2.007 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ " 3.000 | \n",
+ " 18.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_hotel | \n",
+ " 8,339.000 | \n",
+ " 0.500 | \n",
+ " 0.722 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 5.000 | \n",
+ "
\n",
+ " \n",
+ " | active_imp_avia | \n",
+ " 8,339.000 | \n",
+ " 2.734 | \n",
+ " 2.143 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 2.000 | \n",
+ " 4.000 | \n",
+ " 20.000 | \n",
+ "
\n",
+ " \n",
+ " | active_click_avia | \n",
+ " 8,339.000 | \n",
+ " 0.764 | \n",
+ " 0.955 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 7.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_ent | \n",
+ " 8,339.000 | \n",
+ " 7.827 | \n",
+ " 8.861 | \n",
+ " 0.000 | \n",
+ " 2.000 | \n",
+ " 5.000 | \n",
+ " 10.000 | \n",
+ " 125.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_ent | \n",
+ " 8,339.000 | \n",
+ " 0.386 | \n",
+ " 1.227 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 25.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_super | \n",
+ " 8,339.000 | \n",
+ " 3.962 | \n",
+ " 5.069 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 2.000 | \n",
+ " 5.000 | \n",
+ " 98.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_super | \n",
+ " 8,339.000 | \n",
+ " 0.126 | \n",
+ " 0.503 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 7.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_transport | \n",
+ " 8,339.000 | \n",
+ " 11.248 | \n",
+ " 9.650 | \n",
+ " 0.000 | \n",
+ " 5.000 | \n",
+ " 9.000 | \n",
+ " 15.000 | \n",
+ " 94.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_transport | \n",
+ " 8,339.000 | \n",
+ " 0.289 | \n",
+ " 0.708 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 9.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_shopping | \n",
+ " 8,339.000 | \n",
+ " 9.761 | \n",
+ " 12.923 | \n",
+ " 0.000 | \n",
+ " 3.000 | \n",
+ " 6.000 | \n",
+ " 12.000 | \n",
+ " 268.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_shopping | \n",
+ " 8,339.000 | \n",
+ " 0.154 | \n",
+ " 0.587 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 17.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_hotel | \n",
+ " 8,339.000 | \n",
+ " 13.984 | \n",
+ " 11.452 | \n",
+ " 0.000 | \n",
+ " 6.000 | \n",
+ " 11.000 | \n",
+ " 18.000 | \n",
+ " 147.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_hotel | \n",
+ " 8,339.000 | \n",
+ " 0.815 | \n",
+ " 1.322 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 20.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_imp_avia | \n",
+ " 8,339.000 | \n",
+ " 9.956 | \n",
+ " 9.092 | \n",
+ " 0.000 | \n",
+ " 4.000 | \n",
+ " 7.000 | \n",
+ " 13.000 | \n",
+ " 100.000 | \n",
+ "
\n",
+ " \n",
+ " | passive_click_avia | \n",
+ " 8,339.000 | \n",
+ " 0.400 | \n",
+ " 0.794 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 12.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_ent | \n",
+ " 8,339.000 | \n",
+ " 0.127 | \n",
+ " 0.492 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 9.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_super | \n",
+ " 8,339.000 | \n",
+ " 0.290 | \n",
+ " 0.938 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 21.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_transport | \n",
+ " 8,339.000 | \n",
+ " 0.704 | \n",
+ " 1.249 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 1.000 | \n",
+ " 16.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_shopping | \n",
+ " 8,339.000 | \n",
+ " 0.088 | \n",
+ " 0.411 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 7.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_hotel | \n",
+ " 8,339.000 | \n",
+ " 0.052 | \n",
+ " 0.262 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 5.000 | \n",
+ "
\n",
+ " \n",
+ " | orders_amt_avia | \n",
+ " 8,339.000 | \n",
+ " 0.106 | \n",
+ " 0.407 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 0.000 | \n",
+ " 7.000 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "