diff --git a/docker-compose.yml b/docker-compose.yml
index 2c2bc5e..5e739c2 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,5 +1,5 @@
---
-version: '3'
+version: '3.9'
services:
zookeeper:
image: confluentinc/cp-zookeeper:${CONF_VER}
@@ -13,7 +13,7 @@ services:
start_period: 15s
interval: 5s
timeout: 10s
- retries: 10
+ retries: 30
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
@@ -34,7 +34,7 @@ services:
start_period: 15s
interval: 5s
timeout: 10s
- retries: 20
+ retries: 30
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
@@ -67,18 +67,16 @@ services:
- "8081:8081"
healthcheck:
test: nc -z localhost 8081 || exit -1
- start_period: 15s
- interval: 5s
- timeout: 10s
- retries: 10
+ start_period: 30s
+ interval: 20s
+ timeout: 60s
+ retries: 300
environment:
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: 'broker:29092'
SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
connect:
- # image: cnfldemos/cp-server-connect-datagen:0.5.0-6.2.0
- # image: confluentinc/cp-server-connect:${CONF_VER}
build:
context: ./kafka-connect
dockerfile: Dockerfile
@@ -95,7 +93,7 @@ services:
start_period: 15s
interval: 5s
timeout: 10s
- retries: 10
+ retries: 30
environment:
CONNECT_BOOTSTRAP_SERVERS: 'broker:29092'
CONNECT_REST_ADVERTISED_HOST_NAME: connect
@@ -130,7 +128,6 @@ services:
condition: service_healthy
connect:
condition: service_healthy
- # - ksqldb-server
ports:
- "9021:9021"
healthcheck:
@@ -138,7 +135,7 @@ services:
start_period: 15s
interval: 5s
timeout: 10s
- retries: 10
+ retries: 30
environment:
CONTROL_CENTER_BOOTSTRAP_SERVERS: 'broker:29092'
CONTROL_CENTER_CONNECT_CONNECT-DEFAULT_CLUSTER: 'http://connect:8083'
@@ -180,77 +177,24 @@ services:
/usr/bin/mc policy set public minio/mastodon;
exit 0;
"
-
- # jupyter:
- # image: jupyter/scipy-notebook
- # ports:
- # - "8888:8888"
- # volumes:
- # - ./notebooks:/home/jovyan/
- # environment:
- # JUPYTER_ENABLE_LAB: "yes"
- # JUPYTER_RUNTIME_DIR: "/tmp"
- # command: "start-notebook.sh --NotebookApp.token='' --NotebookApp.password=''"
-
-
- # ksqldb-server:
- # image: confluentinc/cp-ksqldb-server:${CONF_VER}
- # platform: linux/amd64
- # hostname: ksqldb-server
- # container_name: ksqldb-server
- # depends_on:
- # - broker
- # - connect
- # ports:
- # - "8088:8088"
- # environment:
- # KSQL_CONFIG_DIR: "/etc/ksql"
- # KSQL_BOOTSTRAP_SERVERS: "broker:29092"
- # KSQL_HOST_NAME: ksqldb-server
- # KSQL_LISTENERS: "http://0.0.0.0:8088"
- # KSQL_CACHE_MAX_BYTES_BUFFERING: 0
- # KSQL_KSQL_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
- # KSQL_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
- # KSQL_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
- # KSQL_KSQL_CONNECT_URL: "http://connect:8083"
- # KSQL_KSQL_LOGGING_PROCESSING_TOPIC_REPLICATION_FACTOR: 1
- # KSQL_KSQL_LOGGING_PROCESSING_TOPIC_AUTO_CREATE: 'true'
- # KSQL_KSQL_LOGGING_PROCESSING_STREAM_AUTO_CREATE: 'true'
-
- # ksqldb-cli:
- # image: confluentinc/cp-ksqldb-cli:${CONF_VER}
- # platform: linux/amd64
- # container_name: ksqldb-cli
- # depends_on:
- # - broker
- # - connect
- # - ksqldb-server
- # entrypoint: /bin/sh
- # tty: true
-
-
- # elasticsearch:
- # image: docker.elastic.co/elasticsearch/elasticsearch:${ELST_VER}
- # platform: linux/amd64
- # container_name: elasticsearch
- # ports:
- # - 9200:9200
- # environment:
- # xpack.security.enabled: "false"
- # ES_JAVA_OPTS: "-Xms1g -Xmx1g"
- # discovery.type: "single-node"
-
-
- # kibana:
- # image: docker.elastic.co/kibana/kibana:${ELST_VER}
- # platform: linux/amd64
- # container_name: kibana
- # hostname: kibana
- # depends_on:
- # - elasticsearch
- # ports:
- # - 5601:5601
- # environment:
- # xpack.security.enabled: "false"
- # discovery.type: "single-node"
+ jupyter:
+ image: jupyter/scipy-notebook
+ ports:
+ - "8888:8888"
+ healthcheck:
+ test: nc -z localhost 8888 || exit -1
+ start_period: 15s
+ interval: 5s
+ timeout: 10s
+ retries: 10
+ volumes:
+ - ./notebooks:/home/jovyan/
+ user: root
+ environment:
+ JUPYTER_ENABLE_LAB: "yes"
+ JUPYTER_RUNTIME_DIR: "/tmp"
+ NB_USER: simonaubury
+ CHOWN_HOME: 'yes'
+ CHOWN_HOME_OPTS: '-R'
+ command: "start-notebook.sh --allow-root --ip=0.0.0.0 --NotebookApp.token='' --NotebookApp.password=''"
diff --git a/docs/app_usage.png b/docs/app_usage.png
index 8331e99..b24e92a 100644
Binary files a/docs/app_usage.png and b/docs/app_usage.png differ
diff --git a/docs/hr_of_day_usage.png b/docs/hr_of_day_usage.png
index e025d51..3240a0d 100644
Binary files a/docs/hr_of_day_usage.png and b/docs/hr_of_day_usage.png differ
diff --git a/duckdb/go.sql b/duckdb/go.sql
index f94fd8a..8e3f12a 100644
--- a/duckdb/go.sql
+++ b/duckdb/go.sql
@@ -87,6 +87,22 @@ select
, mastodon_text
from read_parquet('20230213/mastodon-topic/partition=0/*.parquet');
+insert into toots
+select
+ m_id
+, created_at
+, created_at_str
+, app
+, url
+, base_url
+, language
+, favourites
+, username
+, bot
+, tags
+, characters
+, mastodon_text
+from read_parquet('20230216/mastodon-topic/partition=0/*.parquet');
create table all_toots
diff --git a/kafka-connect/Dockerfile b/kafka-connect/Dockerfile
index 56f21c2..5421d31 100644
--- a/kafka-connect/Dockerfile
+++ b/kafka-connect/Dockerfile
@@ -1,6 +1,3 @@
-# FROM confluentinc/cp-server-connect-base:7.3.1
FROM confluentinc/cp-server-connect:7.1.0
RUN confluent-hub install --no-prompt confluentinc/kafka-connect-s3:10.3.0
-
-# ENTRYPOINT ["tail", "-f", "/dev/null"]
diff --git a/notebooks/mastodon-analysis.ipynb b/notebooks/mastodon-analysis.ipynb
index 0be6fa8..48d9d05 100644
--- a/notebooks/mastodon-analysis.ipynb
+++ b/notebooks/mastodon-analysis.ipynb
@@ -12,7 +12,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 108,
"metadata": {},
"outputs": [],
"source": [
@@ -23,7 +23,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 109,
"metadata": {},
"outputs": [
{
@@ -47,7 +47,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 110,
"metadata": {},
"outputs": [
{
@@ -84,7 +84,7 @@
"Index: []"
]
},
- "execution_count": 9,
+ "execution_count": 110,
"metadata": {},
"output_type": "execute_result"
}
@@ -97,7 +97,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 124,
"metadata": {},
"outputs": [
{
@@ -127,7 +127,7 @@
"
\n",
" \n",
" 0 | \n",
- " 1622149 | \n",
+ " 2292149 | \n",
"
\n",
" \n",
"\n",
@@ -135,10 +135,10 @@
],
"text/plain": [
" Count\n",
- "0 1622149"
+ "0 2292149"
]
},
- "execution_count": 10,
+ "execution_count": 124,
"metadata": {},
"output_type": "execute_result"
}
@@ -186,7 +186,7 @@
},
{
"cell_type": "code",
- "execution_count": 70,
+ "execution_count": 125,
"metadata": {},
"outputs": [
{
@@ -210,7 +210,7 @@
},
{
"cell_type": "code",
- "execution_count": 71,
+ "execution_count": 126,
"metadata": {},
"outputs": [
{
@@ -219,13 +219,13 @@
""
]
},
- "execution_count": 71,
+ "execution_count": 126,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": "iVBORw0KGgoAAAANSUhEUgAAArsAAAGwCAYAAACpTK3cAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/P9b71AAAACXBIWXMAAA9hAAAPYQGoP6dpAABTAklEQVR4nO3deVxV1f7/8fcBZJJRQQEDxQlxxjQzLDTti2bmUKmFJpqZqalppmal3UrMoZulOaVopWKZdutajoEWOSeOiEoadsOsVHAElP37wwf75wnMIZTcvJ6Px348PHutvfZnnUPwbp199rEZhmEIAAAAsCCHki4AAAAAuFkIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsy6mkCwBupfz8fP3yyy/y9PSUzWYr6XIAAMA1MAxDp06dUlBQkBwcrm+tlrCLUuWXX35RcHBwSZcBAABuwJEjR3THHXdc1zGEXZQqnp6eki79x+Ll5VXC1QAAgGuRnZ2t4OBg8+/49SDsolQpuHTBy8uLsAsAwG3mRi5B5ANqAAAAsCxWdlEq3ffyIjm6uJV0GQAAWMa2iU+WdAlFYmUXAAAAlkXYBQAAgGURdgEAAGBZhF0AAABYFmEXAAAAlkXYBQAAgGURdgEAAGBZhF0AAABYFmEXAAAAlkXYxW0hKSlJNptNJ0+eLOlSAADAbYSwi2I3Y8YMeXp66sKFC+a+06dPq0yZMmrRooVd34IQm56efourBAAApQFhF8WuZcuWOn36tLZu3Wru+/bbbxUQEKBNmzbp/Pnz5v7ExESFhISoWrVqJVEqAACwOMIuil1YWJgCAwOVlJRk7ktKSlKHDh0UGhqqjRs32u1v2bKl8vPzFRcXp9DQULm5ualBgwZasmRJobGTk5NVv359ubq66u6779bu3btvxZQAAMBtirCLm6Jly5ZKTEw0HycmJqpFixaKiooy9587d06bNm1Sy5YtFRcXpw8//FAzZszQnj179Pzzz6t79+5at26d3bjDhw/X5MmTtWXLFvn7+6t9+/bKy8u7Yh05OTnKzs622wAAQOnhVNIFwJpatmypIUOG6MKFCzp37py2b9+uqKgo5eXlacaMGZKkDRs2KCcnRy1atFDt2rW1Zs0aNWvWTJJUtWpVfffdd5o5c6aioqLMcceMGaMHHnhAkjR//nzdcccdWrZsmbp06VJkHXFxcXrttddu8mwBAMA/FWEXN0WLFi105swZbdmyRSdOnFDNmjXl7++vqKgo9erVS+fPn1dSUpKqVq2q06dP6+zZs2aILZCbm6uIiAi7fQVhWJLKlSunsLAwpaamXrGOUaNGaejQoebj7OxsBQcHF9MsAQDAPx1hFzdF9erVdccddygxMVEnTpwwV2eDgoIUHBys77//XomJibr//vt1+vRpSdLy5ctVqVIlu3FcXFz+Vh0uLi5/ewwAAHD7IuzipmnZsqWSkpJ04sQJDR8+3Nx/33336euvv9bmzZv17LPPqnbt2nJxcVFGRobdJQtF2bhxo0JCQiRJJ06c0P79+xUeHn5T5wEAAG5fhF3cNC1bttSAAQOUl5dnF2KjoqI0cOBA5ebmqmXLlvL09NQLL7yg559/Xvn5+WrevLmysrKUnJwsLy8v9ezZ0zz2X//6l8qXL6+KFStq9OjR8vPzU8eOHUtgdgAA4HZA2MVN07JlS507d061atVSxYoVzf1RUVE6deqUeYsySXr99dfl7++vuLg4/fjjj/Lx8VGjRo300ksv2Y05fvx4DR48WAcOHFDDhg315ZdfytnZ+ZbOCwAA3D5shmEYJV0EcKtkZ2fL29tbDZ6bIUcXt5IuBwAAy9g28cmbNnbB3++srCx5eXld17HcZxcAAACWRdgFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWRdgFAACAZRF2AQAAYFl8qQRKpfVvPH7d9+kDAAC3H1Z2AQAAYFmEXQAAAFgWYRcAAACWRdgFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWxX12USodGX+3PF0dS7qMUiPk1V0lXQIAoJRiZRcAAACWRdgFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWRdgFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWRdhFkcaOHauKFSvKZrPp888/L9axb8aYAAAARSHslpDY2Fh17NixpMsoUmpqql577TXNnDlTmZmZatu2bbGOX9SY//3vfxUVFSVPT0+5u7urSZMmmjdvXqFjly1bprvvvlve3t7y9PRUnTp1NGTIkGKtDwAAWAdh18Ly8vJu6Lj09HRJUocOHRQQECAXF5diPf+fx3zvvffUoUMHRUZGatOmTdq5c6e6deumfv366YUXXjD7rV27Vl27dtUjjzyizZs3a9u2bXrzzTdveJ4AAMD6CLv/ALNmzVJQUJDy8/Pt9nfo0EG9e/c2H0+fPl3VqlWTs7OzwsLC9NFHH9n1t9lsmj59uh5++GGVLVtWb7zxhqpXr65JkybZ9UtJSZHNZtPBgwcL1TJ27Fi1b99ekuTg4CCbzSZJys/P17/+9S/dcccdcnFxUcOGDbVixQrzuMOHD8tms2nx4sWKioqSq6urFixYUOR8L7+M4ciRIxo2bJiGDBmicePGqXbt2qpevbqGDRumiRMnavLkydq0aZMk6csvv1RkZKSGDx+usLAw1axZUx07dtS0adOu5WkGAAClEGH3H+Cxxx7TH3/8ocTERHPf8ePHtWLFCsXExEi69Pb94MGDNWzYMO3evVvPPPOMevXqZXeMdCmsdurUSbt27dJTTz2l3r17Kz4+3q5PfHy87rvvPlWvXr1QLS+88ILZPzMzU5mZmZKkKVOmaPLkyZo0aZJ27typ6OhoPfzwwzpw4IDd8SNHjtTgwYOVmpqq6Ojoq859yZIlysvLs1vBLfDMM8/Iw8NDixYtknRpRXjPnj3avXv3VcctkJOTo+zsbLsNAACUHoTdfwBfX1+1bdtWCxcuNPctWbJEfn5+atmypSRp0qRJio2NVf/+/VWzZk0NHTpUnTt3LrRq+8QTT6hXr16qWrWqQkJCFBsbq7S0NG3evFnSpUsLFi5caLdifDkPDw/5+PhIuhQuAwICzPOPGDFC3bp1U1hYmN566y01bNhQ77zzjt3xQ4YMUefOnRUaGqrAwMCrzn3//v3y9vYusq+zs7OqVq2q/fv3S5Kee+45NWnSRPXq1VOVKlXUrVs3zZ07Vzk5OVccPy4uTt7e3uYWHBx81ZoAAIB1EHb/IWJiYvTZZ5+ZwW3BggXq1q2bHBwuvUSpqamKjIy0OyYyMlKpqal2+xo3bmz3OCgoSO3atdPcuXMlXboUICcnR4899tg115adna1ffvnlhs5fnMqWLavly5fr4MGDevnll+Xh4aFhw4bprrvu0tmzZ4s8ZtSoUcrKyjK3I0eO3LT6AADAPw9h9x+iffv2MgxDy5cv15EjR/Ttt9+alzBcj7Jlyxba16dPHyUkJOjcuXOKj49X165d5e7uXhxlX9P5/0rNmjWVlZWlX375pVBbbm6u0tPTVbNmTbv91apVU58+ffTBBx/ohx9+0N69e7V48eIix3dxcZGXl5fdBgAASg/C7j+Eq6urOnfurAULFmjRokUKCwtTo0aNzPbw8HAlJyfbHZOcnKzatWtfdewHH3xQZcuW1fTp07VixYorXsJwJV5eXgoKCrrh8/+VRx55RGXKlNHkyZMLtc2YMUNnzpzR448/fsXjq1SpInd3d505c+Zv1QEAAKzJqaQLwP8XExOjhx56SHv27FH37t3t2oYPH64uXbooIiJCrVu31pdffqmlS5dqzZo1Vx3X0dFRsbGxGjVqlGrUqKFmzZpdd23Dhw/XmDFjVK1aNTVs2FDx8fFKSUm54h0XrlVISIgmTJigYcOGydXVVT169FCZMmX0n//8Ry+99JKGDRumpk2bSrr04buzZ8/qwQcfVOXKlXXy5Em9++67ysvL0wMPPPC36gAAANZE2P0Huf/++1WuXDmlpaXpiSeesGvr2LGjpkyZokmTJmnw4MEKDQ1VfHy8WrRocU1jP/XUUxo3bpx69ep1Q7UNGjRIWVlZGjZsmI4dO6batWvriy++UI0aNW5ovMsNGTJEVatW1aRJkzRlyhRdvHhRderU0fTp0+3qjYqK0rRp0/Tkk0/q119/la+vryIiIrRq1SqFhYX97ToAAID12AzDMEq6CNx83377rVq1aqUjR46oYsWKJV1OicnOzpa3t7d2jwqXp6tjSZdTaoS8uqukSwAA3MYK/n5nZWVd9+dvWNm1uJycHP32228aO3asHnvssVIddAEAQOnDB9QsbtGiReb1rRMmTCjpcgAAAG4pwq7FxcbG6uLFi9q2bZsqVapU0uUAAADcUoRdAAAAWBZhFwAAAJZF2AUAAIBlEXYBAABgWdx6DKVS8MiN132fPgAAcPthZRcAAACWRdgFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWRdgFAACAZRF2AQAAYFncZxel0gMzHpCTGz/+V5L8XHJJlwAAQLFgZRcAAACWRdgFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWRdgFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWRdgFAACAZRF2cVPFxsbKZrOpX79+hdoGDBggm82m2NjYW18YAAAoFQi7uOmCg4OVkJCgc+fOmfvOnz+vhQsXKiQkpAQrAwAAVkfYxU3XqFEjBQcHa+nSpea+pUuXKiQkRBEREea+nJwcDRo0SBUqVJCrq6uaN2+uLVu2mO0XL17UU089pdDQULm5uSksLExTpky5pXMBAAC3F8IubonevXsrPj7efDx37lz16tXLrs+LL76ozz77TPPnz9cPP/yg6tWrKzo6WsePH5ck5efn64477tCnn36qvXv36tVXX9VLL72kTz755IrnzcnJUXZ2tt0GAABKD8Iubonu3bvru+++008//aSffvpJycnJ6t69u9l+5swZTZ8+XRMnTlTbtm1Vu3ZtzZ49W25ubpozZ44kqUyZMnrttdfUuHFjhYaGKiYmRr169frLsBsXFydvb29zCw4OvulzBQAA/xxOJV0ASgd/f3+1a9dO8+bNk2EYateunfz8/Mz29PR05eXlKTIy0txXpkwZ3XXXXUpNTTX3TZs2TXPnzlVGRobOnTun3NxcNWzY8IrnHTVqlIYOHWo+zs7OJvACAFCKEHZxy/Tu3VsDBw6UdCm0Xq+EhAS98MILmjx5spo1ayZPT09NnDhRmzZtuuIxLi4ucnFxueGaAQDA7Y3LGHDLtGnTRrm5ucrLy1N0dLRdW7Vq1eTs7Kzk5GRzX15enrZs2aLatWtLkpKTk3XPPfeof//+ioiIUPXq1ZWenn5L5wAAAG4vrOzilnF0dDQvSXB0dLRrK1u2rJ599lkNHz5c5cqVU0hIiCZMmKCzZ8/qqaeekiTVqFFDH374oVauXKnQ0FB99NFH2rJli0JDQ2/5XAAAwO2BsItbysvL64pt48ePV35+vnr06KFTp06pcePGWrlypXx9fSVJzzzzjLZv366uXbvKZrPp8ccfV//+/fX111/fqvIBAMBtxmYYhlHSRQC3SnZ2try9vXXXW3fJyY3/17uS5OeSr94JAIBbpODvd1ZW1l8unBWFa3YBAABgWYRdAAAAWBZhFwAAAJZF2AUAAIBlEXYBAABgWYRdAAAAWBZhFwAAAJbFjUZRKq3ut/q679MHAABuP6zsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsi/vsolT6rk1blXXix78oUevXlXQJAAAUG1Z2AQAAYFmEXQAAAFgWYRcAAACWRdgFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWRdgFAACAZRF2AQAAYFmE3duMzWbT559/ftPPM2vWLAUHB8vBwUHvvPNOsY5dpUqVYh8TAACgKKUy7MbGxspms6lfv36F2gYMGCCbzabY2NhiO9+tCqjFJTs7WwMHDtSIESP0v//9T3379i3W8bds2VJozO+//14PPvigfH195erqqnr16untt9/WxYsX7fqtW7dO999/v8qVKyd3d3fVqFFDPXv2VG5ubrHWCAAArKFUhl1JCg4OVkJCgs6dO2fuO3/+vBYuXKiQkJASrKzkZWRkKC8vT+3atVNgYKDc3d1vaJy8vLwi9/v7+9uNuWzZMkVFRemOO+5QYmKi9u3bp8GDB+uNN95Qt27dZBiGJGnv3r1q06aNGjdurPXr12vXrl1677335OzsXCgUAwAASKU47DZq1EjBwcFaunSpuW/p0qUKCQlRRESEXd8VK1aoefPm8vHxUfny5fXQQw8pPT3dbM/NzdXAgQMVGBgoV1dXVa5cWXFxcZIuvWUvSZ06dZLNZjMfS9L06dNVrVo1OTs7KywsTB999JHdeQ8cOKD77rtPrq6uql27tlavXl1oHrt27dL9998vNzc3lS9fXn379tXp06fN9tjYWHXs2FGTJk1SYGCgypcvrwEDBlwxiM6bN0/16tWTJFWtWlU2m02HDx++pnptNpumT5+uhx9+WGXLltWbb75Z5Dkuv4zhzJkzevrpp/Xwww9r1qxZatiwoapUqaI+ffpo/vz5WrJkiT755BNJ0qpVqxQQEKAJEyaobt26qlatmtq0aaPZs2fLzc2tyHPl5OQoOzvbbgMAAKVHqQ27ktS7d2/Fx8ebj+fOnatevXoV6nfmzBkNHTpUW7du1dq1a+Xg4KBOnTopPz9fkvTuu+/qiy++0CeffKK0tDQtWLDADLVbtmyRJMXHxyszM9N8vGzZMg0ePFjDhg3T7t279cwzz6hXr15KTEyUJOXn56tz585ydnbWpk2bNGPGDI0YMaJQXdHR0fL19dWWLVv06aefas2aNRo4cKBdv8TERKWnpysxMVHz58/XvHnzNG/evCKfk65du2rNmjWSpM2bNyszM1PBwcFXrbfA2LFj1alTJ+3atUu9e/e+6muwatUq/fHHH3rhhRcKtbVv3141a9bUokWLJEkBAQHKzMzU+vXrrzpugbi4OHl7e5tbcHDwNR8LAABuf04lXUBJ6t69u0aNGqWffvpJkpScnKyEhAQlJSXZ9XvkkUfsHs+dO1f+/v7au3ev6tatq4yMDNWoUUPNmzeXzWZT5cqVzb7+/v6SJB8fHwUEBJj7J02apNjYWPXv31+SNHToUG3cuFGTJk1Sy5YttWbNGu3bt08rV65UUFCQJGncuHFq27atOcbChQt1/vx5ffjhhypbtqwkaerUqWrfvr3eeustVaxYUZLk6+urqVOnytHRUbVq1VK7du20du1aPf3004Wek4IV4oLaC2q+Wr0FnnjiiSL/h+FK9u/fL0kKDw8vsr1WrVpmn8cee0wrV65UVFSUAgICdPfdd6tVq1Z68skn5eXlVeTxo0aN0tChQ83H2dnZBF4AAEqRUr2y6+/vr3bt2mnevHmKj49Xu3bt5OfnV6jfgQMH9Pjjj6tq1ary8vIyV20zMjIkXbpUICUlRWFhYRo0aJBWrVp11XOnpqYqMjLSbl9kZKRSU1PN9uDgYDPoSlKzZs0KjdGgQQMz6BaMkZ+fr7S0NHNfnTp15OjoaD4ODAzUsWPHrlrj9dRboHHjxtc1boGC63L/iqOjo+Lj4/Xzzz9rwoQJqlSpksaNG6c6deooMzOzyGNcXFzk5eVltwEAgNKjVIdd6dKlDPPmzdP8+fOv+LZ7+/btdfz4cc2ePVubNm3Spk2bJMm8A0CjRo106NAhvf766zp37py6dOmiRx999JbN4WrKlClj99hms5mXYBS3y4P3tahZs6YkFQrNBVJTU80+BSpVqqQePXpo6tSp2rNnj86fP68ZM2bcWMEAAMDSSn3YbdOmjXJzc5WXl6fo6OhC7X/88YfS0tL08ssvq1WrVgoPD9eJEycK9fPy8lLXrl01e/ZsLV68WJ999pmOHz8u6VLY/PPdAsLDw5WcnGy3Lzk5WbVr1zbbjxw5YrdiuXHjxkJj7NixQ2fOnLEbw8HBQWFhYdf5TPy1q9V7o/7v//5P5cqV0+TJkwu1ffHFF+aq+pX4+voqMDDQ7jkAAAAoUKqv2ZUuvTVesKp4+Vv9BXx9fVW+fHnNmjVLgYGBysjI0MiRI+36vP322woMDFRERIQcHBz06aefKiAgQD4+PpIu3X1g7dq1ioyMlIuLi3x9fTV8+HB16dJFERERat26tb788kstXbrU/HBY69atVbNmTfXs2VMTJ05Udna2Ro8ebXfemJgYjRkzRj179tTYsWP122+/6bnnnlOPHj3M63WLy9XqvVFly5bVzJkz1a1bN/Xt21cDBw6Ul5eX1q5dq+HDh+vRRx9Vly5dJEkzZ85USkqKOnXqpGrVqpnXK+/Zs0fvvfdecUwTAABYTKlf2ZX0l9dyOjg4KCEhQdu2bVPdunX1/PPPa+LEiXZ9PD09NWHCBDVu3FhNmjTR4cOH9dVXX8nB4dLTO3nyZK1evVrBwcHmbc06duyoKVOmaNKkSapTp45mzpyp+Ph4tWjRwjzvsmXLdO7cOd11113q06dPoVt5ubu7a+XKlTp+/LiaNGmiRx99VK1atdLUqVOL+Rm6er1/x6OPPqrExERlZGTo3nvvVVhYmP79739r9OjRSkhIkM1mkyTdddddOn36tPr166c6deooKipKGzdu1Oeff66oqKi/XQcAALAem3EtnwwCLCI7O1ve3t5a3uwelXUq9W9sFClq/bqSLgEAADsFf7+zsrKu+8PmrOwCAADAsgi7AAAAsCzCLgAAACyLsAsAAADLIuwCAADAsgi7AAAAsCzCLgAAACyLG42iVGq+4uvrvk8fAAC4/bCyCwAAAMsi7AIAAMCyCLsAAACwLMIuAAAALIuwCwAAAMsi7AIAAMCyCLsAAACwLO6zi1Jp5ktfy83FvaTLuKUGTm5f0iUAAHDLsbILAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLs4h9l7NixatiwYUmXAQAALIKwi+tms9n+chs7dmxJlwgAACBJcirpAnD7yczMNP+9ePFivfrqq0pLSzP3eXh4lERZAAAAhbCyi+sWEBBgbt7e3rLZbObjGTNmqHnz5nb933nnHVWpUsV8nJSUpLvuuktly5aVj4+PIiMj9dNPPxV5rvT0dFWtWlUDBw7Ua6+9prp16xbq07BhQ73yyitFHp+Tk6Ps7Gy7DQAAlB6EXdxSFy5cUMeOHRUVFaWdO3dqw4YN6tu3r2w2W6G+O3fuVPPmzfXEE09o6tSpeuqpp5SamqotW7aYfbZv366dO3eqV69eRZ4vLi5O3t7e5hYcHHzT5gYAAP55CLu4pbKzs5WVlaWHHnpI1apVU3h4uHr27KmQkBC7ft9//71atGihF154QW+88YYk6Y477lB0dLTi4+PNfvHx8YqKilLVqlWLPN+oUaOUlZVlbkeOHLl5kwMAAP84hF3cUuXKlVNsbKyio6PVvn17TZkyxe4aYEnKyMjQAw88oFdffVXDhg2za3v66ae1aNEinT9/Xrm5uVq4cKF69+59xfO5uLjIy8vLbgMAAKUHYRfFysHBQYZh2O3Ly8uzexwfH68NGzbonnvu0eLFi1WzZk1t3LjRbPf399ddd92lRYsWFbrGtn379nJxcdGyZcv05ZdfKi8vT48++ujNmxAAALitEXZRrPz9/XX06FG7wJuSklKoX0REhEaNGqXvv/9edevW1cKFC802Nzc3/fe//5Wrq6uio6N16tQps83JyUk9e/ZUfHy84uPj1a1bN7m5ud3UOQEAgNsXYRfFqkWLFvrtt980YcIEpaena9q0afr666/N9kOHDmnUqFHasGGDfvrpJ61atUoHDhxQeHi43Thly5bV8uXL5eTkpLZt2+r06dNmW58+ffTNN99oxYoVf3kJAwAAAGEXxSo8PFzvv/++pk2bpgYNGmjz5s164YUXzHZ3d3ft27dPjzzyiGrWrKm+fftqwIABeuaZZwqN5eHhoa+//lqGYahdu3Y6c+aMJKlGjRq65557VKtWLTVt2vSWzQ0AANx+bMafL7AE/uEMw1CNGjXUv39/DR069LqOzc7Olre3tyYMSJCbi/tNqvCfaeDk9iVdAgAAN6Tg73dWVtZ1f9icb1DDbeW3335TQkKCjh49esV76wIAABS44bB78eJFLVu2TKmpqZIuvX3dsWNHOTmRn3HzVKhQQX5+fpo1a5Z8fX1LuhwAAPAPd0PJdM+ePXr44Yd19OhRhYWFSZLeeust+fv768svvyzyK12B4sBVNwAA4Hrc0AfU+vTpozp16ujnn3/WDz/8oB9++EFHjhxR/fr11bdv3+KuEQAAALghN7Sym5KSoq1bt9q9jezr66s333xTTZo0KbbiAAAAgL/jhlZ2a9asqV9//bXQ/mPHjql69ep/uygAAACgONxQ2I2Li9OgQYO0ZMkS/fzzz/r555+1ZMkSDRkyRG+99Zays7PNDQAAACgpN3SfXQeH/5+RbTabpP//waHLH9tsNl28eLE46gSKxd+5Tx8AACgZt/w+u4mJiTdyGAAAAHBL3VDYjYqKKu46AAAAgGJ3w98AceLECc2ZM8f8UonatWurV69eKleuXLEVBwAAAPwdN/QBtfXr16tKlSp69913deLECZ04cULvvvuuQkNDtX79+uKuEQAAALghN/QBtXr16qlZs2aaPn26HB0dJV36+uD+/fvr+++/165du4q9UKA48AE1AABuP3/n7/cNrewePHhQw4YNM4OuJDk6Omro0KE6ePDgjQwJAAAAFLsbCruNGjUyr9W9XGpqqho0aPC3iwIAAACKww19QG3QoEEaPHiwDh48qLvvvluStHHjRk2bNk3jx4/Xzp07zb7169cvnkqBYjTx6R5yLVOmpMu4JUZ/vKSkSwAAoMT87S+VKHJQm40vlcA/UsE1Py93eZiwCwDAbeKWf6nEoUOHbuQwAAAA4Ja6obBbuXJlSdLevXuVkZGh3Nxcs81ms6l9+/bFUx0AAADwN9xQ2P3xxx/VqVMn7dq1y7xkQboUdCVx6QIAAAD+EW7obgyDBw9WaGiojh07Jnd3d+3evVvr169X48aNlZSUVMwlAgAAADfmhlZ2N2zYoG+++UZ+fn5ycHCQo6Ojmjdvrri4OA0aNEjbt28v7joBAACA63ZDK7sXL16Up6enJMnPz0+//PKLpEvX8qalpRVfdQAAAMDfcEMru3Xr1tWOHTsUGhqqpk2basKECXJ2dtasWbNUtWrV4q4RAAAAuCE3FHZffvllnTlzRpL0r3/9Sw899JDuvfdelS9fXosXLy7WAgEAAIAbdUOXMURHR6tz586SpOrVq2vfvn36/fffdezYMd1///3FWuA/lc1m0+eff37TzzNr1iwFBwfLwcFB77zzzk0/X3GJjY1Vx44d//Y4LVq00JAhQ/6yT5UqVW6r5wYAANw6NxR2i1KuXDnz1mPXKjY2VjabTf369SvUNmDAANlsNsXGxhZThbcuoBaX7OxsDRw4UCNGjND//vc/9e3b96acZ9GiRXJ0dNSAAQNuyvh/x9KlS/X666+XdBkAAOA2VWxh90YFBwcrISFB586dM/edP39eCxcuVEhISAlWVvIyMjKUl5endu3aKTAwUO7u7jc0Tl5e3l+2z5kzRy+++KIWLVqk8+fP39A5rtflX0TyV8qVK2d+GBIAAOB6lXjYbdSokYKDg7V06VJz39KlSxUSEqKIiAi7vitWrFDz5s3l4+Oj8uXL66GHHlJ6errZnpubq4EDByowMFCurq6qXLmy4uLiJF16q1uSOnXqJJvNZj6WpOnTp6tatWpydnZWWFiYPvroI7vzHjhwQPfdd59cXV1Vu3ZtrV69utA8du3apfvvv19ubm4qX768+vbtq9OnT5vtBW/rT5o0SYGBgSpfvrwGDBhwxSA6b9481atXT5JUtWpV2Ww2HT58+Jrqtdlsmj59uh5++GGVLVtWb775ZpHnkC599fP333+vkSNHqmbNmnavQ0EdPj4+WrlypcLDw+Xh4aE2bdooMzPT7HPx4kUNHTrUfF1efPFF84tGCrRo0UIDBw7UkCFD5Ofnp+joaEnSunXrdNddd8nFxUWBgYEaOXKkLly4YHfc5ZcxHDt2TO3bt5ebm5tCQ0O1YMGCK85NknJycpSdnW23AQCA0qPEw64k9e7dW/Hx8ebjuXPnqlevXoX6nTlzRkOHDtXWrVu1du1aOTg4qFOnTsrPz5ckvfvuu/riiy/0ySefKC0tTQsWLDBD7ZYtWyRJ8fHxyszMNB8vW7ZMgwcP1rBhw7R7924988wz6tWrlxITEyVJ+fn56ty5s5ydnbVp0ybNmDFDI0aMKFRXdHS0fH19tWXLFn366adas2aNBg4caNcvMTFR6enpSkxM1Pz58zVv3jzNmzevyOeka9euWrNmjSRp8+bNyszMVHBw8FXrLTB27FjzW+569+59xec+Pj5e7dq1k7e3t7p37645c+YU6nP27FlNmjRJH330kdavX6+MjAy98MILZvvkyZM1b948zZ07V999952OHz+uZcuWFRpn/vz5cnZ2VnJysmbMmKH//e9/evDBB9WkSRPt2LFD06dP15w5c/TGG29csd7Y2FgdOXJEiYmJWrJkid5//30dO3bsiv3j4uLk7e1tbsHBwVfsCwAArMdm/HkJ7haKjY3VyZMnNXv2bAUHB5v36K1Vq5aOHDmiPn36yMfH54qB8Pfff5e/v7927dqlunXratCgQdqzZ4/WrFlT5PXDNptNy5Yts/vgVGRkpOrUqaNZs2aZ+7p06aIzZ85o+fLlWrVqldq1a6effvpJQUFBki6tMLdt29Yca/bs2RoxYoSOHDmismXLSpK++uortW/fXr/88osqVqyo2NhYJSUlKT09XY6OjuZ5HBwclJCQUOT8UlJSFBERoUOHDpmh/Wr1FsxzyJAh+ve///2Xz39+fr6qVKmi9957Tx06dNDvv/+uSpUqad++fQoNDZV0aWW3V69eOnjwoKpVqyZJev/99/Wvf/1LR48elSQFBQXp+eef1/DhwyVJFy5cUGhoqO68807zGukWLVooOztbP/zwg3n+0aNH67PPPlNqaqr5er3//vsaMWKEsrKy5ODgoBYtWqhhw4Z65513tH//foWFhWnz5s1q0qSJJGnfvn0KDw/Xv//97yI/yJaTk6OcnBzzcXZ2toKDg/Vyl4flWqbMXz4/VjH64yUlXQIAAH9Ldna2vL29lZWVJS8vr+s69h+xsuvv76927dpp3rx55kqjn59foX4HDhzQ448/rqpVq8rLy8sMgBkZGZIuheeUlBSFhYVp0KBBWrVq1VXPnZqaqsjISLt9kZGRSk1NNduDg4PNoCtJzZo1KzRGgwYNzKBbMEZ+fr7dl2zUqVPHDLqSFBgY+JerkjdSb4HGjRtfdazVq1frzJkzevDBByVd+oKQBx54QHPnzrXr5+7ubgbdP9edlZWlzMxMNW3a1Gx3cnIq8vx33nlnobk0a9bM7n9MIiMjdfr0af3888+Fjk9NTZWTk5PdOLVq1ZKPj88V5+ji4iIvLy+7DQAAlB43dJ/dm6F3797m2/7Tpk0rsk/79u1VuXJlzZ49W0FBQcrPz1fdunXNDzs1atRIhw4d0tdff601a9aoS5cuat26tZYs+WesbJX500qizWYzL8EobpcH7yuZM2eOjh8/Ljc3N3Nffn6+du7cqddee00ODpf+X6ioum/kDYFrqQkAAKA4/SNWdiWpTZs2ys3NVV5envnhpcv98ccfSktL08svv6xWrVopPDxcJ06cKNTPy8tLXbt21ezZs7V48WJ99tlnOn78uKRLoe3ixYt2/cPDw5WcnGy3Lzk5WbVr1zbbjxw5YveBrI0bNxYaY8eOHeYXbRSM4eDgoLCwsOt8Jv7a1eq9Vn/88Yf+85//KCEhQSkpKea2fft2nThx4ppWxSXJ29tbgYGB2rRpk7nvwoUL2rZt2zXNZcOGDXbBOTk5WZ6enrrjjjsK9a9Vq1ahsdPS0nTy5MlrqhUAAJQ+/5iVXUdHR/Ot+Mvf6i/g6+ur8uXLa9asWQoMDFRGRoZGjhxp1+ftt99WYGCgIiIi5ODgoE8//VQBAQHm29xVqlTR2rVrFRkZKRcXF/n6+mr48OHq0qWLIiIi1Lp1a3355ZdaunSp+eGw1q1bq2bNmurZs6cmTpyo7OxsjR492u68MTExGjNmjHr27KmxY8fqt99+03PPPacePXqoYsWKxfo8Xa3ea/XRRx+pfPny6tKlS6Hrmx988EHNmTNHbdq0uaaxBg8erPHjx6tGjRqqVauW3n777WsKoP3799c777yj5557TgMHDlRaWprGjBmjoUOHmqvKlwsLC1ObNm30zDPPaPr06XJyctKQIUPsVqYBAAAu949Z2ZX0l9dUFnyQa9u2bapbt66ef/55TZw40a6Pp6enJkyYoMaNG6tJkyY6fPiwvvrqKzM4TZ48WatXr1ZwcLB5W7OOHTtqypQpmjRpkurUqaOZM2cqPj5eLVq0MM+7bNkynTt3TnfddZf69OlT6FZe7u7uWrlypY4fP64mTZro0UcfVatWrTR16tRifoauXu+1mjt3rnkbtj975JFH9MUXX+j333+/prGGDRumHj16qGfPnmrWrJk8PT3VqVOnqx5XqVIlffXVV9q8ebMaNGigfv366amnntLLL798xWPi4+MVFBSkqKgode7cWX379lWFChWuqU4AAFD6lOjdGIBbreDTnNyNAQCA28dtfzcGAAAA4GYg7AIAAMCyCLsAAACwLMIuAAAALIuwCwAAAMsi7AIAAMCyCLsAAACwLO6zi1Ll79ynDwAAlAzuswsAAAAUgbALAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLKcSroAoCSkTVwnD9eyt+Rc4aPvvyXnAQAAhbGyCwAAAMsi7AIAAMCyCLsAAACwLMIuAAAALIuwCwAAAMsi7AIAAMCyCLsAAACwLMIuAAAALIuwCwAAAMsi7AIAAMCyCLsWFhsbK5vNpn79+hVqGzBggGw2m2JjY69prKSkJNlsNp08efK6ajh8+LBsNptSUlKu67iSGhcAAFgLYdfigoODlZCQoHPnzpn7zp8/r4ULFyokJKQEKwMAALj5CLsW16hRIwUHB2vp0qXmvqVLlyokJEQRERHmvvz8fMXFxSk0NFRubm5q0KCBlixZIunSKmrLli0lSb6+vnYrwitWrFDz5s3l4+Oj8uXL66GHHlJ6ero5bmhoqCQpIiJCNptNLVq0MNs++OADhYeHy9XVVbVq1dL7779vtvXu3Vv169dXTk6OJCk3N1cRERF68sknrzru5XJycpSdnW23AQCA0oOwWwr07t1b8fHx5uO5c+eqV69edn3i4uL04YcfasaMGdqzZ4+ef/55de/eXevWrVNwcLA+++wzSVJaWpoyMzM1ZcoUSdKZM2c0dOhQbd26VWvXrpWDg4M6deqk/Px8SdLmzZslSWvWrFFmZqYZuhcsWKBXX31Vb775plJTUzVu3Di98sormj9/viTp3Xff1ZkzZzRy5EhJ0ujRo3Xy5ElNnTr1L8f9s7i4OHl7e5tbcHDw339CAQDAbcOppAvAzde9e3eNGjVKP/30kyQpOTlZCQkJSkpKknRp9XPcuHFas2aNmjVrJkmqWrWqvvvuO82cOVNRUVEqV66cJKlChQry8fExx37kkUfszjV37lz5+/tr7969qlu3rvz9/SVJ5cuXV0BAgNlvzJgxmjx5sjp37izp0krt3r17NXPmTPXs2VMeHh76+OOPFRUVJU9PT73zzjtKTEyUl5eXJF1x3D8bNWqUhg4daj7Ozs4m8AIAUIoQdksBf39/tWvXTvPmzZNhGGrXrp38/PzM9oMHD+rs2bN64IEH7I4ruHTgrxw4cECvvvqqNm3apN9//91c0c3IyFDdunWLPObMmTNKT0/XU089paefftrcf+HCBXl7e5uPmzVrphdeeEGvv/66RowYoebNm1/33F1cXOTi4nLdxwEAAGsg7JYSvXv31sCBAyVJ06ZNs2s7ffq0JGn58uWqVKmSXdvVgmL79u1VuXJlzZ49W0FBQcrPz1fdunWVm5t7xWMKzjd79mw1bdrUrs3R0dH8d35+vpKTk+Xo6KiDBw9eZYYAAACFEXZLiTZt2ig3N1c2m03R0dF2bbVr15aLi4syMjIUFRVV5PHOzs6SpIsXL5r7/vjjD6WlpWn27Nm69957JUnffffdVY+rWLGigoKC9OOPPyomJuaKNU+cOFH79u3TunXrFB0drfj4ePNa46LGBQAA+DPCbinh6Oio1NRU89+X8/T01AsvvKDnn39e+fn5at68ubKyspScnCwvLy/17NlTlStXls1m03//+189+OCDcnNzk6+vr8qXL69Zs2YpMDBQGRkZ5gfKClSoUEFubm5asWKF7rjjDrm6usrb21uvvfaaBg0aJG9vb7Vp00Y5OTnaunWrTpw4oaFDh2r79u169dVXtWTJEkVGRurtt9/W4MGDFRUVpapVq15xXAAAgMtxN4ZSxMvLy/yA15+9/vrreuWVVxQXF6fw8HC1adNGy5cvN2/xValSJb322msaOXKkKlasqIEDB8rBwUEJCQnatm2b6tatq+eff14TJ060G9fJyUnvvvuuZs6cqaCgIHXo0EGS1KdPH33wwQeKj49XvXr1FBUVpXnz5ik0NFTnz59X9+7dFRsbq/bt20uS+vbtq5YtW6pHjx66ePHiFccFAAC4nM0wDKOkiwBulezsbHl7e2vzy1/Iw7XsLTln+Oj7b8l5AACwqoK/31lZWVdcuLsSVnYBAABgWYRdAAAAWBZhFwAAAJZF2AUAAIBlEXYBAABgWYRdAAAAWBZhFwAAAJbFN6ihVAobHnXd9+kDAAC3H1Z2AQAAYFmEXQAAAFgWYRcAAACWRdgFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWxX12USrFxcXJxcXlpp5j7NixN3V8AABwdazsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuyhxNptNn3/+eUmXAQAALIiwCx09elSDBw9W9erV5erqqooVKyoyMlLTp0/X2bNni+08Y8eOVcOGDQvtz8zMVNu2bYvtPAAAAAWcSroAlKwff/xRkZGR8vHx0bhx41SvXj25uLho165dmjVrlipVqqSHH374ptYQEBBwU8cHAAClFyu7pVz//v3l5OSkrVu3qkuXLgoPD1fVqlXVoUMHLV++XO3bt5d06VKDDz74QJ06dZK7u7tq1KihL774whxn3rx58vHxsRv7888/l81mM9tfe+017dixQzabTTabTfPmzTPHvvwyhiNHjqhLly7y8fFRuXLl1KFDBx0+fNhsLzj+8q1KlSpFzi8nJ0fZ2dl2GwAAKD0Iu6XYH3/8oVWrVmnAgAEqW7ZskX0Kwqokvfbaa+rSpYt27typBx98UDExMTp+/Pg1natr164aNmyY6tSpo8zMTGVmZqpr166F+uXl5Sk6Olqenp769ttvlZycLA8PD7Vp00a5ubmSZB6fmZmpgwcPqnr16rrvvvuKPG9cXJy8vb3NLTg4+JrqBQAA1kDYLcUOHjwowzAUFhZmt9/Pz08eHh7y8PDQiBEjzP2xsbF6/PHHVb16dY0bN06nT5/W5s2br+lcbm5u8vDwkJOTkwICAhQQECA3N7dC/RYvXqz8/Hx98MEHqlevnsLDwxUfH6+MjAwlJSVJknl8xYoVNXz4cHl7e2vmzJlFnnfUqFHKysoytyNHjlzjswMAAKyAa3ZRyObNm5Wfn6+YmBjl5OSY++vXr2/+u2zZsvLy8tKxY8eK9dw7duzQwYMH5enpabf//PnzSk9Pt9v30ksvacOGDdq6dWuRwVmSXFxc5OLiUqw1AgCA2wdhtxSrXr26bDab0tLS7PZXrVpVkgoFyDJlytg9ttlsys/PlyQ5ODjIMAy79ry8vOuu6fTp07rzzju1YMGCQm3+/v7mvz/++GP9+9//VlJSkipVqnTd5wEAAKUDlzGUYuXLl9cDDzygqVOn6syZM39rLH9/f506dcpunJSUFLs+zs7Ounjx4l+O06hRIx04cEAVKlRQ9erV7TZvb29J0oYNG9SnTx/NnDlTd99999+qGwAAWBtht5R7//33deHCBTVu3FiLFy9Wamqq0tLS9PHHH2vfvn1ydHS8pnGaNm0qd3d3vfTSS0pPT9fChQvNuy0UqFKlig4dOqSUlBT9/vvvdpdIFIiJiZGfn586dOigb7/9VocOHVJSUpIGDRqkn3/+WUePHlWnTp3UrVs3RUdH6+jRozp69Kh+++234ng6AACAxRB2S7lq1app+/btat26tUaNGqUGDRqocePGeu+99/TCCy/o9ddfv6ZxypUrp48//lhfffWV6tWrp0WLFmns2LF2fR555BG1adNGLVu2lL+/vxYtWlRoHHd3d61fv14hISHq3LmzwsPD9dRTT+n8+fPy8vLSvn379Ouvv2r+/PkKDAw0tyZNmhTH0wEAACzGZvz5QkvAwrKzs+Xt7a2RI0fe9A+u/TnsAwCAG1Pw9zsrK0teXl7XdSwruwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAy+I+uyhV/s59+gAAQMngPrsAAABAEQi7AAAAsCzCLgAAACyLsAsAAADLIuwCAADAsgi7AAAAsCynki4AKAlLl7WUu7tjsY3X5bHNxTYWAAAoPqzsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuwAAALAswm4pdvjwYdlsNqWkpJR0KQAAADcFYfcWiY2NVceOHYttvOzsbI0ePVq1atWSq6urAgIC1Lp1ay1dulSGYRTbeYrLzz//LGdnZ9WtW7ekSwEAAKUIYfc2dPLkSd1zzz368MMPNWrUKP3www9av369unbtqhdffFFZWVklXWIh8+bNU5cuXZSdna1NmzaVdDkAAKCUIOyWgPz8fE2YMEHVq1eXi4uLQkJC9Oabb5rtR44cUZcuXeTj46Ny5cqpQ4cOOnz4sNn+0ksv6fDhw9q0aZN69uyp2rVrq2bNmnr66aeVkpIiDw8PSZLNZtPnn39ud24fHx/NmzfPbt++fft0zz33yNXVVXXr1tW6devs2nfv3q22bdvKw8NDFStWVI8ePfT777+b7UuWLFG9evXk5uam8uXLq3Xr1jpz5ozZbhiG4uPj1aNHDz3xxBOaM2eO3fgFl1MkJCRcsY6kpCTZbDYtX75c9evXl6urq+6++27t3r37L5/rnJwcZWdn220AAKD0IOyWgFGjRmn8+PF65ZVXtHfvXi1cuFAVK1aUJOXl5Sk6Olqenp769ttvlZycLA8PD7Vp00a5ubnKz89XQkKCYmJiFBQUVGhsDw8POTk5XVc9w4cP17Bhw7R9+3Y1a9ZM7du31x9//CHp0iry/fffr4iICG3dulUrVqzQr7/+qi5dukiSMjMz9fjjj6t3795KTU1VUlKSOnfubHcpRWJios6ePavWrVure/fuSkhIsAvD11LH5X0mT56sLVu2yN/fX+3bt1deXt4V5xYXFydvb29zCw4Ovq7nBgAA3N4Iu7fYqVOnNGXKFE2YMEE9e/ZUtWrV1Lx5c/Xp00eStHjxYuXn5+uDDz5QvXr1FB4ervj4eGVkZCgpKUm///67Tpw4oVq1ahVbTQMHDtQjjzyi8PBwTZ8+Xd7e3ubq69SpUxUREaFx48apVq1aioiI0Ny5c5WYmKj9+/crMzNTFy5cUOfOnVWlShXVq1dP/fv3N1eXJWnOnDnq1q2bHB0dVbduXVWtWlWffvrpddVRYMyYMXrggQdUr149zZ8/X7/++quWLVt2xbmNGjVKWVlZ5nbkyJFietYAAMDtgLB7i6WmpionJ0etWrUqsn3Hjh06ePCgPD095eHhIQ8PD5UrV07nz59Xenr6TfnwWbNmzcx/Ozk5qXHjxkpNTTXrSUxMNGvx8PAwg3Z6eroaNGigVq1aqV69enrsscc0e/ZsnThxwhzv5MmTWrp0qbp3727u6969e6EQe7U6iupTrlw5hYWFFepzORcXF3l5edltAACg9Li+97vxt7m5uf1l++nTp3XnnXdqwYIFhdr8/f3l6ekpHx8f7du376rnstlshcLxX73lf6V62rdvr7feeqtQW2BgoBwdHbV69Wp9//33WrVqld577z2NHj1amzZtUmhoqBYuXKjz58+radOm5nGGYSg/P1/79+9XzZo1r6seAACA68HK7i1Wo0YNubm5ae3atUW2N2rUSAcOHFCFChVUvXp1u83b21sODg7q1q2bFixYoF9++aXQ8adPn9aFCxckXQrHmZmZZtuBAwd09uzZQsds3LjR/PeFCxe0bds2hYeHm/Xs2bNHVapUKVRP2bJlJV0K1ZGRkXrttde0fft2OTs7m5cWzJkzR8OGDVNKSoq57dixQ/fee6/mzp17zXUU1efEiRPav39/oT4AAAAFCLu3mKurq0aMGKEXX3xRH374odLT07Vx40bzbf2YmBj5+fmpQ4cO+vbbb3Xo0CElJSVp0KBB+vnnnyVJb775poKDg9W0aVN9+OGH2rt3rw4cOKC5c+cqIiJCp0+fliTdf//9mjp1qrZv366tW7eqX79+KlOmTKGapk2bpmXLlmnfvn0aMGCATpw4od69e0uSBgwYoOPHj+vxxx/Xli1blJ6erpUrV6pXr166ePGiNm3apHHjxmnr1q3KyMjQ0qVL9dtvvyk8PFwpKSn64Ycf1KdPH9WtW9due/zxxzV//nwzmF+tjgL/+te/tHbtWu3evVuxsbHy8/Mr1vsXAwAAa+EyhhLwyiuvyMnJSa+++qp++eUXBQYGql+/fpIkd3d3rV+/XiNGjFDnzp116tQpVapUSa1atTKvNy1Xrpw2btyo8ePH64033tBPP/0kX19f1atXTxMnTpS3t7ckafLkyerVq5fuvfdeBQUFacqUKdq2bVuhesaPH6/x48crJSVF1atX1xdffCE/Pz9JUlBQkJKTkzVixAj93//9n3JyclS5cmW1adNGDg4O8vLy0vr16/XOO+8oOztblStX1uTJk9W2bVs999xzql27dpEfpuvUqZMGDhyor776SvXr179qHZfXOnjwYB04cEANGzbUl19+KWdn5+J7cQAAgKXYjH/i122hVDl8+LBCQ0O1fft2NWzYsMg+SUlJatmypU6cOCEfH58bPld2dra8vb0VP6+R3N0db3icP+vy2OZiGwsAANgr+PudlZV13R825zIGAAAAWBZhFwAAAJbFNbsocVWqVLnq/YNbtGhxU+4xDAAArI2VXQAAAFgWYRcAAACWRdgFAACAZRF2AQAAYFl8QA2lUudOidd9nz4AAHD7YWUXAAAAlkXYBQAAgGURdgEAAGBZhF0AAABYFmEXAAAAlkXYBQAAgGVx6zGUSvd8vkaO7mWLZawdj0YXyzgAAKD4sbILAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuwAAALAswi4AAAAsi7ALAAAAyyLsAgAAwLIIuyg2LVq00JAhQyRJVapU0TvvvFOs49+MMQEAgLU5lXQBwLXasmWLypYtaz622WxatmyZOnbsWHJFAQCAfzTCLv6RcnNz5ezsbLfP39+/hKoBAAC3Ky5jwA05c+aMnnzySXl4eCgwMFCTJ0++Yt8nnnhCXbt2tduXl5cnPz8/ffjhh5IuXQIxcOBADRkyRH5+foqOji40zuWXMVSpUkWS1KlTJ9lsNvPxn+Xk5Cg7O9tuAwAApQdhFzdk+PDhWrdunf7zn/9o1apVSkpK0g8//FBk35iYGH355Zc6ffq0uW/lypU6e/asOnXqZO6bP3++nJ2dlZycrBkzZvzl+bds2SJJio+PV2Zmpvn4z+Li4uTt7W1uwcHB1ztVAABwGyPs4rqdPn1ac+bM0aRJk9SqVSvVq1dP8+fP14ULF4rsHx0drbJly2rZsmXmvoULF+rhhx+Wp6enua9GjRqaMGGCwsLCFBYW9pc1FFzS4OPjo4CAgCte4jBq1ChlZWWZ25EjR653ugAA4DZG2MV1S09PV25urpo2bWruK1eu3BUDqpOTk7p06aIFCxZIunQJxH/+8x/FxMTY9bvzzjuLvVYXFxd5eXnZbQAAoPTgA2q4JWJiYhQVFaVjx45p9erVcnNzU5s2bez6XH6nBQAAgOLAyi6uW7Vq1VSmTBlt2rTJ3HfixAnt37//isfcc889Cg4O1uLFi7VgwQI99thjKlOmzN+qo0yZMrp48eLfGgMAAFgbYRfXzcPDQ0899ZSGDx+ub775Rrt371ZsbKwcHP76x+mJJ57QjBkztHr16kKXMBSlVq1adtf5/lmVKlW0du1aHT16VCdOnLjueQAAAOsj7OKGTJw4Uffee6/at2+v1q1bq3nz5le95jYmJkZ79+5VpUqVFBkZedVzpKWlKSsr64rtkydP1urVqxUcHKyIiIjrngMAALA+m2EYRkkXAdwq2dnZ8vb2Vp35n8nRvXiuEd7xaOF7AgMAgOJT8Pc7Kyvruj9szsouAAAALIuwCwAAAMsi7AIAAMCyCLsAAACwLMIuAAAALIuwCwAAAMsi7AIAAMCynEq6AKAkfN+x9XXfpw8AANx+WNkFAACAZRF2AQAAYFlcxoBSpeDbsbOzs0u4EgAAcK0K/m4X/B2/HoRdlCp//PGHJCk4OLiEKwEAANfr1KlT8vb2vq5jCLsoVcqVKydJysjIuO7/WG5H2dnZCg4O1pEjR0rFB/JK03xL01wl5mt1pWm+pWmuUvHN1zAMnTp1SkFBQdd9LGEXpYqDw6XL1L29vUvFL5kCXl5ezNeiStNcJeZrdaVpvqVprlLxzPdGF6n4gBoAAAAsi7ALAAAAyyLsolRxcXHRmDFj5OLiUtKl3BLM17pK01wl5mt1pWm+pWmu0j9jvjbjRu7hAAAAANwGWNkFAACAZRF2AQAAYFmEXQAAAFgWYRcAAACWRdhFqTJt2jRVqVJFrq6uatq0qTZv3lzSJdlZv3692rdvr6CgINlsNn3++ed27YZh6NVXX1VgYKDc3NzUunVrHThwwK7P8ePHFRMTIy8vL/n4+Oipp57S6dOn7frs3LlT9957r1xdXRUcHKwJEyYUquXTTz9VrVq15Orqqnr16umrr74q9vnGxcWpSZMm8vT0VIUKFdSxY0elpaXZ9Tl//rwGDBig8uXLy8PDQ4888oh+/fVXuz4ZGRlq166d3N3dVaFCBQ0fPlwXLlyw65OUlKRGjRrJxcVF1atX17x58wrVczN/PqZPn6769eubN1Zv1qyZvv76a8vN80rGjx8vm82mIUOGmPusNOexY8fKZrPZbbVq1bLkXAv873//U/fu3VW+fHm5ubmpXr162rp1q9lupd9XVapUKfT62mw2DRgwQJK1Xt+LFy/qlVdeUWhoqNzc3FStWjW9/vrruvx+Brfda2sApURCQoLh7OxszJ0719izZ4/x9NNPGz4+Psavv/5a0qWZvvrqK2P06NHG0qVLDUnGsmXL7NrHjx9veHt7G59//rmxY8cO4+GHHzZCQ0ONc+fOmX3atGljNGjQwNi4caPx7bffGtWrVzcef/xxsz0rK8uoWLGiERMTY+zevdtYtGiR4ebmZsycOdPsk5ycbDg6OhoTJkww9u7da7z88stGmTJljF27dhXrfKOjo434+Hhj9+7dRkpKivHggw8aISEhxunTp80+/fr1M4KDg421a9caW7duNe6++27jnnvuMdsvXLhg1K1b12jdurWxfft246uvvjL8/PyMUaNGmX1+/PFHw93d3Rg6dKixd+9e47333jMcHR2NFStWmH1u9s/HF198YSxfvtzYv3+/kZaWZrz00ktGmTJljN27d1tqnkXZvHmzUaVKFaN+/frG4MGDzf1WmvOYMWOMOnXqGJmZmeb222+/WXKuhmEYx48fNypXrmzExsYamzZtMn788Udj5cqVxsGDB80+Vvp9dezYMbvXdvXq1YYkIzEx0TAMa72+b775plG+fHnjv//9r3Ho0CHj008/NTw8PIwpU6aYfW6315awi1LjrrvuMgYMGGA+vnjxohEUFGTExcWVYFVX9uewm5+fbwQEBBgTJ0409508edJwcXExFi1aZBiGYezdu9eQZGzZssXs8/XXXxs2m8343//+ZxiGYbz//vuGr6+vkZOTY/YZMWKEERYWZj7u0qWL0a5dO7t6mjZtajzzzDPFOsc/O3bsmCHJWLdunWEYl+ZXpkwZ49NPPzX7pKamGpKMDRs2GIZx6X8QHBwcjKNHj5p9pk+fbnh5eZlzfPHFF406derYnatr165GdHS0+bgkfj58fX2NDz74wNLzPHXqlFGjRg1j9erVRlRUlBl2rTbnMWPGGA0aNCiyzWpzNYxLvzOaN29+xXar/74aPHiwUa1aNSM/P99yr2+7du2M3r172+3r3LmzERMTYxjG7fnachkDSoXc3Fxt27ZNrVu3Nvc5ODiodevW2rBhQwlWdu0OHTqko0eP2s3B29tbTZs2NeewYcMG+fj4qHHjxmaf1q1by8HBQZs2bTL73HfffXJ2djb7REdHKy0tTSdOnDD7XH6egj43+7nKysqSJJUrV06StG3bNuXl5dnVUqtWLYWEhNjNuV69eqpYsaJdrdnZ2dqzZ881zedW/3xcvHhRCQkJOnPmjJo1a2bZeUrSgAED1K5du0J1WXHOBw4cUFBQkKpWraqYmBhlZGRYdq5ffPGFGjdurMcee0wVKlRQRESEZs+ebbZb+fdVbm6uPv74Y/Xu3Vs2m81yr+8999yjtWvXav/+/ZKkHTt26LvvvlPbtm0l3Z6vLWEXpcLvv/+uixcv2v2ikaSKFSvq6NGjJVTV9Smo86/mcPToUVWoUMGu3cnJSeXKlbPrU9QYl5/jSn1u5nOVn5+vIUOGKDIyUnXr1jXrcHZ2lo+PzxVr+Tvzyc7O1rlz527Zz8euXbvk4eEhFxcX9evXT8uWLVPt2rUtN88CCQkJ+uGHHxQXF1eozWpzbtq0qebNm6cVK1Zo+vTpOnTokO69916dOnXKcnOVpB9//FHTp09XjRo1tHLlSj377LMaNGiQ5s+fb1ezFX9fff755zp58qRiY2PN81vp9R05cqS6deumWrVqqUyZMoqIiNCQIUMUExNjV+/t9No6XVdvALhJBgwYoN27d+u7774r6VJumrCwMKWkpCgrK0tLlixRz549tW7dupIu66Y4cuSIBg8erNWrV8vV1bWky7npCla9JKl+/fpq2rSpKleurE8++URubm4lWNnNkZ+fr8aNG2vcuHGSpIiICO3evVszZsxQz549S7i6m2vOnDlq27atgoKCSrqUm+KTTz7RggULtHDhQtWpU0cpKSkaMmSIgoKCbtvXlpVdlAp+fn5ydHQs9OnYX3/9VQEBASVU1fUpqPOv5hAQEKBjx47ZtV+4cEHHjx+361PUGJef40p9btZzNXDgQP33v/9VYmKi7rjjDnN/QECAcnNzdfLkySvW8nfm4+XlJTc3t1v28+Hs7Kzq1avrzjvvVFxcnBo0aKApU6ZYbp7Spbfujx07pkaNGsnJyUlOTk5at26d3n33XTk5OalixYqWm/PlfHx8VLNmTR08eNCSr29gYKBq165tty88PNy8dMOqv69++uknrVmzRn369DH3We31HT58uLm6W69ePfXo0UPPP/+8+Q7N7fjaEnZRKjg7O+vOO+/U2rVrzX35+flau3atmjVrVoKVXbvQ0FAFBATYzSE7O1ubNm0y59CsWTOdPHlS27ZtM/t88803ys/PV9OmTc0+69evV15entln9erVCgsLk6+vr9nn8vMU9Cnu58owDA0cOFDLli3TN998o9DQULv2O++8U2XKlLGrJS0tTRkZGXZz3rVrl90v1tWrV8vLy8v8Y3y1+ZTUz0d+fr5ycnIsOc9WrVpp165dSklJMbfGjRsrJibG/LfV5ny506dPKz09XYGBgZZ8fSMjIwvdJnD//v2qXLmyJGv+vpKk+Ph4VahQQe3atTP3We31PXv2rBwc7OOho6Oj8vPzJd2mr+11fZwNuI0lJCQYLi4uxrx584y9e/caffv2NXx8fOw+HVvSTp06ZWzfvt3Yvn27Icl4++23je3btxs//fSTYRiXbvfi4+Nj/Oc//zF27txpdOjQocjbvURERBibNm0yvvvuO6NGjRp2t3s5efKkUbFiRaNHjx7G7t27jYSEBMPd3b3Q7V6cnJyMSZMmGampqcaYMWNuyq3Hnn32WcPb29tISkqyu63P2bNnzT79+vUzQkJCjG+++cbYunWr0axZM6NZs2Zme8Etff7v//7PSElJMVasWGH4+/sXeUuf4cOHG6mpqca0adOKvKXPzfz5GDlypLFu3Trj0KFDxs6dO42RI0caNpvNWLVqlaXm+VcuvxuD1eY8bNgwIykpyTh06JCRnJxstG7d2vDz8zOOHTtmubkaxqXbyTk5ORlvvvmmceDAAWPBggWGu7u78fHHH5t9rPb76uLFi0ZISIgxYsSIQm1Wen179uxpVKpUybz12NKlSw0/Pz/jxRdfNPvcbq8tYRelynvvvWeEhIQYzs7Oxl133WVs3LixpEuyk5iYaEgqtPXs2dMwjEu3fHnllVeMihUrGi4uLkarVq2MtLQ0uzH++OMP4/HHHzc8PDwMLy8vo1evXsapU6fs+uzYscNo3ry54eLiYlSqVMkYP358oVo++eQTo2bNmoazs7NRp04dY/ny5cU+36LmKsmIj483+5w7d87o37+/4evra7i7uxudOnUyMjMz7cY5fPiw0bZtW8PNzc3w8/Mzhg0bZuTl5dn1SUxMNBo2bGg4OzsbVatWtTtHgZv589G7d2+jcuXKhrOzs+Hv72+0atXKDLpWmudf+XPYtdKcu3btagQGBhrOzs5GpUqVjK5du9rdc9ZKcy3w5ZdfGnXr1jVcXFyMWrVqGbNmzbJrt9rvq5UrVxqSCs3BMKz1+mZnZxuDBw82QkJCDFdXV6Nq1arG6NGj7W4Rdru9tjbDuOwrMQAAAAAL4ZpdAAAAWBZhFwAAAJZF2AUAAIBlEXYBAABgWYRdAAAAWBZhFwAAAJZF2AUAAIBlEXYBAABgWYRdAAAAWBZhFwBQ6h0+fFg2m00pKSklXQqAYkbYBQAAgGURdgEAJS4/P18TJkxQ9erV5eLiopCQEL355puSpF27dun++++Xm5ubypcvr759++r06dPmsS1atNCQIUPsxuvYsaNiY2PNx1WqVNG4cePUu3dveXp6KiQkRLNmzTLbQ0NDJUkRERGy2Wxq0aLFTZsrgFuLsAsAKHGjRo3S+PHj9corr2jv3r1auHChKlasqDNnzig6Olq+vr7asmWLPv30U61Zs0YDBw687nNMnjxZjRs31vbt29W/f389++yzSktLkyRt3rxZkrRmzRplZmZq6dKlxTo/ACXHqaQLAACUbqdOndKUKVM0depU9ezZU5JUrVo1NW/eXLNnz9b58+f14YcfqmzZspKkqVOnqn379nrrrbdUsWLFaz7Pgw8+qP79+0uSRowYoX//+99KTExUWFiY/P39JUnly5dXQEBAMc8QQEliZRcAUKJSU1OVk5OjVq1aFdnWoEEDM+hKUmRkpPLz881V2WtVv3598982m00BAQE6duzYjRcO4LZA2AUAlCg3N7e/dbyDg4MMw7Dbl5eXV6hfmTJl7B7bbDbl5+f/rXMD+Ocj7AIASlSNGjXk5uamtWvXFmoLDw/Xjh07dObMGXNfcnKyHBwcFBYWJkny9/dXZmam2X7x4kXt3r37umpwdnY2jwVgLYRdAECJcnV11YgRI/Tiiy/qww8/VHp6ujZu3Kg5c+YoJiZGrq6u6tmzp3bv3q3ExEQ999xz6tGjh3m97v3336/ly5dr+fLl2rdvn5599lmdPHnyumqoUKGC3NzctGLFCv3666/Kysq6CTMFUBIIuwCAEvfKK69o2LBhevXVVxUeHq6uXbvq2LFjcnd318qVK3X8+HE1adJEjz76qFq1aqWpU6eax/bu3Vs9e/bUk08+qaioKFWtWlUtW7a8rvM7OTnp3Xff1cyZMxUUFKQOHToU9xQBlBCb8ecLnQAAAACLYGUXAAAAlkXYBQAAgGURdgEAAGBZhF0AAABYFmEXAAAAlkXYBQAAgGURdgEAAGBZhF0AAABYFmEXAAAAlkXYBQAAgGURdgEAAGBZ/w9LaMk/dgFADAAAAABJRU5ErkJggg==",
+ "image/png": "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",
"text/plain": [
"