diff --git a/README.md b/README.md index 6dd63fc..6a3a95d 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,7 @@ -## Introduction +# Unity GPU Efficiency Analytics Suite -This repository is a place to contain the tools developed over the course of the DS4CG 2025 summer -internship project with Unity. -## DS4CG Job Analytics - - -DS4CG Job Analytics is a data analytics and reporting platform developed during the DS4CG 2025 summer internship with Unity. It provides tools for analyzing HPC job data, generating interactive reports, and visualizing resource usage and efficiency. +This repository is a data analytics and reporting platform developed as part of the [Summer 2025 Data Science for the Common Good (DS4CG) program](https://ds.cs.umass.edu/programs/ds4cg/ds4cg-team-2025) in partnership with the Unity Research Computing Platform. It provides tools for analyzing HPC job data, generating interactive reports, and visualizing resource usage and efficiency. ## Motivation High-performance GPUs are a critical resource on shared clusters, but they are often underutilized due to inefficient job scheduling, over-allocation, or lack of user awareness. Many jobs request more GPU memory or compute than they actually use, leading to wasted resources and longer queue times for others. This project aims to address these issues by providing analytics and reporting tools that help users and administrators understand GPU usage patterns, identify inefficiencies, and make data-driven decisions to improve overall cluster utilization. @@ -14,59 +9,91 @@ High-performance GPUs are a critical resource on shared clusters, but they are o ## Project Overview This project includes: - Python scripts and modules for data preprocessing, analysis, and report generation -- Jupyter notebooks for interactive exploration and visualization +- Jupyter notebooks for interactive analysis and visualization - Automated report generation scripts (see the `feature/reports` branch for the latest versions) - Documentation built with MkDocs and Quarto ## Example Notebooks -The following notebooks demonstrate key analyses and visualizations: - -- `notebooks/Basic Visualization.ipynb`: Basic plots and metrics -- `notebooks/Efficiency Analysis.ipynb`: Efficiency metrics and user comparisons -- `notebooks/Resource Hoarding.ipynb`: Analysis of resource hoarding -- `notebooks/SlurmGPU.ipynb`: GPU job analysis +The following notebooks generate comprehensive analysis for two subsets of the data: -See the `notebooks/` directory for more examples. +- [`notebooks/analysis/No VRAM Use Analysis.ipynb`](notebooks/analysis/No%20VRAM%20Use%20Analysis.ipynb): Analysis of GPU jobs that end up using no VRAM. +- [`notebooks/analysis/Requested and Used VRAM.ipynb`](notebooks/analysis/Requested%20and%20Used%20VRAM.ipynb): Analysis of GPU jobs that request a specific amount of VRAM. -## Contributing to this repository +The following notebooks generate demonstrate key analyses, visualizations: -The following guidelines may prove helpful in maximizing the utility of this repository: +- [`notebooks/module_demos/Basic Visualization.ipynb`](notebooks/module_demos/Basic%20Visualization.ipynb): Basic plots and metrics +- [`notebooks/module_demos/Efficiency Analysis.ipynb`](notebooks/module_demos/Efficiency%20Analysis.ipynb): Calculation of efficiency metrics and user comparisons +- [`notebooks/module_demos/Resource Hoarding.ipynb`](notebooks/module_demos/Resource%20Hoarding.ipynb`): Analysis of CPU core and RAM overallocation -- Please avoid committing code unless it is meant to be used by the rest of the team. -- New code should first be committed in a dedicated branch (```feature/newanalysis``` or ```bugfix/typo```), and later merged into ```main``` following a code review. -- Shared datasets should usually be managed with a shared folder on Unity, not committed to Git. -- Prefer committing Python modules with plotting routines like ```scripts/gpu_metrics.py``` instead of Jupyter notebooks, when possible. +The [`notebooks`](notebooks) directory contains all Jupyter notebooks. -## Getting started on Unity -You'll need to first install a few dependencies, which include DuckDB, Pandas, and some plotting libraries. More details for running the project will need be added here later. +## Documentation -### Version Control -To provide the path of the git configuration file of this project to git, run: +This repository uses [MkDocs](https://www.mkdocs.org/) for project documentation. The documentation source files are located in the `docs/` directory and the configuration is in `mkdocs.yml`. - git config --local include.path ../.gitconfig +To build and serve the documentation locally: -To ensure consistent LF line endings across all platforms, run the following command when developing on Windows machines: + pip install -r dev-requirements.txt + mkdocs serve - git config --local core.autocrlf input +To build the static site: -### Jupyter notebooks + mkdocs build -You can run Jupyter notebooks on Unity through the OpenOnDemand portal. To make your environment -visible in Jupyter, run +To deploy the documentation (e.g., to GitHub Pages): - python -m ipykernel install --user --name "Duck DB" + mkdocs gh-deploy -from within the environment. This will add "Duck DB" as a kernel option in the dropdown. +See the [MkDocs documentation](https://www.mkdocs.org/user-guide/) for more details and advanced usage. + +### Documenting New Features + +For any new features, modules, or major changes, please add a corresponding `.md` file under the `docs/` directory. This helps keep the project documentation up to date and useful for all users and contributors. -By default, Jupyter Notebook outoputs are removed via a git filter before the notebook is committed to git. To add an exception and keep the output of a notebook, add the following line to [notebooks/.gitattributes](```notebooks/.gitattributes```): +## Dataset - .ipynb !filter=strip-notebook-output +The primary dataset for this project is a DuckDB database that contains information about jobs on +Unity. It is located under ```unity.rc.umass.edu:/modules/admin-resources/reporting/slurm_data.db``` and is updated daily. +The schema is provided below. In addition to the columns in the DuckDB file, this repository contains tools to add a number of useful derived columns for visualization and analysis. + +| Column | Type | Description | +| :--- | :--- | :------------ | +| UUID | VARCHAR | Unique identifier | +| JobID | INTEGER | Slurm job ID | +| ArrayID | INTEGER | Position in job array | +|ArrayJobID| INTEGER | Slurm job ID within array| +| JobName | VARCHAR | Name of job | +| IsArray | BOOLEAN | Indicator if job is part of an array | +| Interactive | VARCHAR | Indicator if job was interactive +| Preempted | BOOLEAN | Was job preempted | +| Account | VARCHAR | Slurm account (PI group) | +| User | VARCHAR | Unity user | +| Constraints | VARCHAR[] | Job constraints | +| QOS | VARCHAR | Job QOS | +| Status | VARCHAR | Job status on termination | +| ExitCode | VARCHAR | Job exit code | +| SubmitTime | TIMESTAMP_NS | Job submission time | +| StartTime | TIMESTAMP_NS | Job start time +| EndTime | TIMESTAMP_NS | Job end time | +| Elapsed | INTEGER | Job runtime (seconds) | +| TimeLimit | INTEGER | Job time limit (seconds) | +| Partition | VARCHAR | Job partition | +| Nodes | VARCHAR | Job nodes as compact string | +| NodeList | VARCHAR[] | List of job nodes | +| CPUs | SMALLINT | Number of CPU cores | +| Memory | INTEGER | Job allocated memory (bytes) | +| GPUs | SMALLINT | Number of GPUs requested | +| GPUType | DICT | Dictionary with keys as type of GPU (str) and the values as number of GPUs corresponding to that type (int) | +| GPUMemUsage | FLOAT | GPU memory usage (bytes) | +| GPUComputeUsage | FLOAT | GPU compute usage (pct) | +| CPUMemUsage | FLOAT | GPU memory usage (bytes) | +| CPUComputeUsage | FLOAT | CPU compute usage (pct) | ## Development Environment -To set up your development environment, use the provided `dev-requirements.txt` for all development dependencies (including linting, testing, and documentation tools). +To set up your development environment, use the provided [`dev-requirements.txt`](dev-requirements.txt) for all development dependencies (including linting, testing, and documentation tools). This project requires **Python 3.11**. Make sure you have Python 3.11 installed before creating the virtual environment. @@ -84,7 +111,27 @@ This project requires **Python 3.11**. Make sure you have Python 3.11 installed pip install -r requirements.txt pip install -r dev-requirements.txt -If you need to reset your environment, you can delete the `duckdb` folder and recreate it as above. +If you need to reset your environment, you can delete the `duckdb` directory and recreate it as above. + +### Version Control +To provide the path of the git configuration file of this project to git, run: + + git config --local include.path ../.gitconfig + +To ensure consistent LF line endings across all platforms, run the following command when developing on Windows machines: + + git config --local core.autocrlf input + +### Jupyter notebooks + +You can run Jupyter notebooks on Unity through the OpenOnDemand portal. To make your environment +visible in Jupyter, run + + python -m ipykernel install --user --name "Duck DB" + +from within the environment. This will add "Duck DB" as a kernel option in the dropdown. + +By default, Jupyter Notebook outputs are removed via a git filter before the notebook is committed to git. To add an exception and keep the output of a notebook, add the file name of the notebook to [`scripts/strip_notebook_exclude.txt`](```scripts/.strip_notebook_exclude```). ## Code Style & Linting @@ -142,29 +189,6 @@ All Python code should use [**Google-style docstrings**](https://google.github.i """ # ...function code... -## Documentation - -This repository uses [MkDocs](https://www.mkdocs.org/) for project documentation. The documentation source files are located in the `docs/` directory and the configuration is in `mkdocs.yml`. - -To build and serve the documentation locally: - - pip install -r dev-requirements.txt - mkdocs serve - -To build the static site: - - mkdocs build - -To deploy the documentation (e.g., to GitHub Pages): - - mkdocs gh-deploy - -See the [MkDocs documentation](https://www.mkdocs.org/user-guide/) for more details and advanced usage. - -### Documenting New Features - -For any new features, modules, or major changes, please add a corresponding `.md` file under the `docs/` directory. This helps keep the project documentation up to date and useful for all users and contributors. - ## Testing To run tests, use the provided test scripts or `pytest` (if available): @@ -172,50 +196,7 @@ To run tests, use the provided test scripts or `pytest` (if available): pytest -### Support - -The Unity documentation (https://docs.unity.rc.umass.edu/) has a lot of useful -background information about Unity in particular and HPC in general. It will help explain a lot of -the terms used in the dataset schema below. For specific issues with the code in this repo or the -DuckDB dataset, feel free to reach out to Benjamin Pachev on the Unity Slack. - -## The dataset +## Support -The primary dataset for this project is a DuckDB database that contains information about jobs on -Unity. It is contained under ```/modules/admin-resources/reporting/slurm_data.db``` and is updated daily. -A schema is provided below. In addition to the columns in the DuckDB file, ```scripts/gpu_metrics.py``` -contains tools to add a number of useful derived columns for plotting and analysis. - -| Column | Type | Description | -| :--- | :--- | :------------ | -| UUID | VARCHAR | Unique identifier | -| JobID | INTEGER | Slurm job ID | -| ArrayID | INTEGER | Position in job array | -|ArrayJobID| INTEGER | Slurm job ID within array| -| JobName | VARCHAR | Name of job | -| IsArray | BOOLEAN | Indicator if job is part of an array | -| Interactive | VARCHAR | Indicator if job was interactive -| Preempted | BOOLEAN | Was job preempted | -| Account | VARCHAR | Slurm account (PI group) | -| User | VARCHAR | Unity user | -| Constraints | VARCHAR[] | Job constraints | -| QOS | VARCHAR | Job QOS | -| Status | VARCHAR | Job status on termination | -| ExitCode | VARCHAR | Job exit code | -| SubmitTime | TIMESTAMP_NS | Job submission time | -| StartTime | TIMESTAMP_NS | Job start time -| EndTime | TIMESTAMP_NS | Job end time | -| Elapsed | INTEGER | Job runtime (seconds) | -| TimeLimit | INTEGER | Job time limit (seconds) | -| Partition | VARCHAR | Job partition | -| Nodes | VARCHAR | Job nodes as compact string | -| NodeList | VARCHAR[] | List of job nodes | -| CPUs | SMALLINT | Number of CPU cores | -| Memory | INTEGER | Job allocated memory (bytes) | -| GPUs | SMALLINT | Number of GPUs requested | -| GPUType | DICT | Dictionary with keys as type of GPU (str) and the values as number of GPUs corresponding to that type (int) | -| GPUMemUsage | FLOAT | GPU memory usage (bytes) | -| GPUComputeUsage | FLOAT | GPU compute usage (pct) | -| CPUMemUsage | FLOAT | GPU memory usage (bytes) | -| CPUComputeUsage | FLOAT | CPU compute usage (pct) | +The Unity documentation (https://docs.unity.rc.umass.edu/) has plenty of useful information about Unity and Slurm which would be helpful in understanding the data. For specific issues with the code in this repo or the DuckDB dataset, feel free to reach out to Benjamin Pachev on the Unity Slack. diff --git a/notebooks/.gitattributes b/notebooks/.gitattributes index 5a4e934..507e2f8 100644 --- a/notebooks/.gitattributes +++ b/notebooks/.gitattributes @@ -1,4 +1 @@ -# *.ipynb filter=strip-notebook-output -# # keep the output of the following notebooks when committing -# SlurmGPU.ipynb -filter=strip-notebook-output -# notebooks/SlurmGPU.ipynb -filter=strip-notebook-output \ No newline at end of file +*.ipynb filter=strip-notebook-output \ No newline at end of file diff --git a/notebooks/Basic Visualization.ipynb b/notebooks/Basic Visualization.ipynb deleted file mode 100644 index 1189b31..0000000 --- a/notebooks/Basic Visualization.ipynb +++ /dev/null @@ -1,119 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "0", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "from pathlib import Path" - ] - }, - { - "cell_type": "markdown", - "id": "1", - "metadata": {}, - "source": [ - "Jupyter server should be run at the notebook directory, so the output of the following cell would be the project root:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2", - "metadata": {}, - "outputs": [], - "source": [ - "project_root = str(Path.cwd().resolve().parent)\n", - "print(f\"Project root: {project_root}\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3", - "metadata": {}, - "outputs": [], - "source": [ - "if project_root not in sys.path:\n", - " sys.path.insert(0, project_root)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4", - "metadata": {}, - "outputs": [], - "source": [ - "%load_ext autoreload\n", - "# Reload all modules imported with %aimport every time before executing the Python code typed.\n", - "%autoreload 1\n", - "%aimport src.visualization.columns, src.database.database_connection, \\\n", - " src.visualization.models, src.preprocess.preprocess" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5", - "metadata": {}, - "outputs": [], - "source": [ - "from src.visualization import ColumnVisualizer\n", - "from src.preprocess import preprocess_data\n", - "from src.database import DatabaseConnection" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6", - "metadata": {}, - "outputs": [], - "source": [ - "db_connection = DatabaseConnection(\"../data/slurm_data.db\")\n", - "jobs_df = db_connection.fetch_all_jobs()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7", - "metadata": {}, - "outputs": [], - "source": [ - "clean_jobs_df = preprocess_data(jobs_df, min_elapsed_seconds=600)\n", - "clean_jobs_df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8", - "metadata": {}, - "outputs": [], - "source": [ - "visualizer = ColumnVisualizer(clean_jobs_df.sample(10000, random_state=42))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9", - "metadata": {}, - "outputs": [], - "source": [ - "visualizer.visualize(\n", - " output_dir_path=Path(\"../data/visualizations\"),\n", - " columns=None,\n", - ")" - ] - } - ], - "metadata": {}, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/Efficiency Analysis.ipynb b/notebooks/Efficiency Analysis.ipynb deleted file mode 100644 index 3cef967..0000000 --- a/notebooks/Efficiency Analysis.ipynb +++ /dev/null @@ -1,619 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "0", - "metadata": {}, - "source": [ - "# [Efficiency Analysis](#toc0_)\n", - "This notebook demonstrates the use of `EfficiencyAnalysis` class in `src/analysis/efficiency_analysis.py` for analyzing the efficiency of jobs, users, and PI groups." - ] - }, - { - "cell_type": "markdown", - "id": "1", - "metadata": {}, - "source": [ - "**Table of contents** \n", - "- [Efficiency Analysis](#toc1_) \n", - " - [Setup](#toc1_1_) \n", - " - [Example: Analyze workload efficiency of GPU users who set no VRAM constraints and used 0 GB of VRAM](#toc1_2_) \n", - " - [Job Efficiency Metrics](#toc1_2_1_) \n", - " - [Find most inefficient jobs with no VRAM constraints based on `vram_hours`](#toc1_2_1_1_) \n", - " - [User Efficiency Metrics](#toc1_2_2_) \n", - " - [Find Inefficient Users based on `expected_value_alloc_vram_efficiency`](#toc1_2_2_1_) \n", - " - [Find Inefficient Users based on `vram_hours`](#toc1_2_2_2_) \n", - " - [PI Group Efficiency Metrics](#toc1_2_3_) \n", - " - [Find Inefficient PIs based on `vram_hours`](#toc1_2_3_1_) \n", - " - [Example: Analyze all jobs with no VRAM constraints](#toc1_3_) \n", - " - [Job Efficiency Metrics](#toc1_3_1_) \n", - " - [Problem with duplicate JobIDs](#toc1_3_1_1_) \n", - " - [Top users with most number of jobs that have no VRAM constraints](#toc1_3_1_2_) \n", - " - [Find inefficient jobs with no VRAM Constraints based on `alloc_vram_efficiency_score`](#toc1_3_1_3_) \n", - "\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "id": "2", - "metadata": {}, - "source": [ - "## [Setup](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3", - "metadata": {}, - "outputs": [], - "source": [ - "# Import required modules\n", - "import sys\n", - "from pathlib import Path\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns" - ] - }, - { - "cell_type": "markdown", - "id": "4", - "metadata": {}, - "source": [ - "Jupyter server should be run at the notebook directory, so the output of the following cell would be the project root:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5", - "metadata": {}, - "outputs": [], - "source": [ - "project_root = str(Path.cwd().resolve().parent)\n", - "print(f\"Project root: {project_root}\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6", - "metadata": {}, - "outputs": [], - "source": [ - "# Add project root to sys.path for module imports\n", - "if project_root not in sys.path:\n", - " sys.path.insert(0, project_root)\n", - "\n", - "from src.analysis import efficiency_analysis as ea\n", - "from src.visualization import JobsWithMetricsVisualizer, UsersWithMetricsVisualizer\n", - "from src.utilities import load_and_preprocess_jobs\n", - "\n", - "# Automatically reload modules before executing code\n", - "# This is useful for development to see changes without restarting the kernel.\n", - "%load_ext autoreload\n", - "# Reload all modules imported with %aimport every time before executing the Python code typed.\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7", - "metadata": {}, - "outputs": [], - "source": [ - "# Load the jobs DataFrame from DuckDB\n", - "preprocessed_jobs_df = load_and_preprocess_jobs(\n", - " db_path=\"../data/slurm_data.db\",\n", - " table_name=\"Jobs\",\n", - ")\n", - "display(preprocessed_jobs_df.head(10))\n", - "print(preprocessed_jobs_df.shape)" - ] - }, - { - "cell_type": "markdown", - "id": "8", - "metadata": {}, - "source": [ - "## [Example: Analyze workload efficiency of GPU users who set no VRAM constraints and used 0 GB of VRAM](#toc0_)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9", - "metadata": {}, - "outputs": [], - "source": [ - "efficiency_analysis = ea.EfficiencyAnalysis(jobs_df=preprocessed_jobs_df)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "10", - "metadata": {}, - "outputs": [], - "source": [ - "filtered_jobs = efficiency_analysis.filter_jobs_for_analysis(\n", - " vram_constraint_filter=pd.NA, # No VRAM constraints\n", - " gpu_mem_usage_filter=0, # Used 0 GB of VRAM\n", - ")\n", - "filtered_jobs" - ] - }, - { - "cell_type": "markdown", - "id": "11", - "metadata": {}, - "source": [ - "Generate all metrics:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "12", - "metadata": {}, - "outputs": [], - "source": [ - "metrics_dict = efficiency_analysis.calculate_all_efficiency_metrics(filtered_jobs)\n", - "\n", - "jobs_with_metrics = metrics_dict[\"jobs_with_efficiency_metrics\"]\n", - "users_with_metrics = metrics_dict[\"users_with_efficiency_metrics\"]\n", - "pi_accounts_with_metrics = metrics_dict[\"pi_accounts_with_efficiency_metrics\"]" - ] - }, - { - "cell_type": "markdown", - "id": "13", - "metadata": {}, - "source": [ - "### [Job Efficiency Metrics](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14", - "metadata": {}, - "outputs": [], - "source": [ - "# Set option to display all columns\n", - "pd.set_option(\"display.max_columns\", None)\n", - "# Display the DataFrame\n", - "display(jobs_with_metrics.head(10))\n", - "# To revert to default settings (optional)\n", - "pd.reset_option(\"display.max_columns\")\n", - "\n", - "print(f\"Jobs found: {len(jobs_with_metrics)}\")" - ] - }, - { - "cell_type": "markdown", - "id": "15", - "metadata": {}, - "source": [ - "#### [Find most inefficient jobs with no VRAM constraints based on `vram_hours`](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "16", - "metadata": {}, - "outputs": [], - "source": [ - "inefficient_jobs_vram_hours = efficiency_analysis.sort_and_filter_records_with_metrics(\n", - " metrics_df_name_enum=ea.MetricsDataFrameNameEnum.JOBS,\n", - " sorting_key=\"vram_hours\",\n", - " ascending=False, # Sort by vram_hours in descending order\n", - " filter_criteria={\n", - " \"vram_hours\": {\"min\": 80 * 24, \"inclusive\": True}, # VRAM-hours threshold for identifying inefficient jobs\n", - " },\n", - ")\n", - "# Display top inefficient users by VRAM-hours\n", - "print(\"\\nTop inefficient Jobs by VRAM-hours:\")\n", - "display(inefficient_jobs_vram_hours.head(10))\n", - "\n", - "# Plot top inefficient jobs by VRAM-hours, with VRAM-hours as labels\n", - "jobs_with_metrics_visualizer = JobsWithMetricsVisualizer(inefficient_jobs_vram_hours.head(20))\n", - "jobs_with_metrics_visualizer.visualize(\n", - " column=\"vram_hours\",\n", - " bar_label_columns=[\"vram_hours\", \"job_hours\"],\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "17", - "metadata": {}, - "source": [ - "### [User Efficiency Metrics](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "18", - "metadata": {}, - "outputs": [], - "source": [ - "users_with_metrics" - ] - }, - { - "cell_type": "markdown", - "id": "19", - "metadata": {}, - "source": [ - "#### [Find Inefficient Users based on `expected_value_alloc_vram_efficiency`](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "20", - "metadata": {}, - "outputs": [], - "source": [ - "inefficient_users_alloc_vram_eff = efficiency_analysis.sort_and_filter_records_with_metrics(\n", - " metrics_df_name_enum=ea.MetricsDataFrameNameEnum.USERS,\n", - " sorting_key=\"expected_value_alloc_vram_efficiency\",\n", - " ascending=True, # we want to find users with low efficiency\n", - " filter_criteria={\n", - " \"expected_value_alloc_vram_efficiency\": {\"max\": 0.3, \"inclusive\": True},\n", - " \"job_count\": {\"min\": 5, \"inclusive\": True}, # Minimum number of jobs to consider a user\n", - " },\n", - ")\n", - "print(\"\\nTop inefficient users by allocated vram efficiency:\")\n", - "display(inefficient_users_alloc_vram_eff.head(20))\n", - "\n", - "# Plot top inefficient users by allocated vram efficiency, with allocated vram efficiency as labels\n", - "users_with_metrics_visualizer = UsersWithMetricsVisualizer(inefficient_users_alloc_vram_eff.head(20))\n", - "users_with_metrics_visualizer.visualize(\n", - " column=\"expected_value_alloc_vram_efficiency\",\n", - " bar_label_columns=[\"expected_value_alloc_vram_efficiency\", \"user_job_hours\"],\n", - " figsize=(8, 10),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "21", - "metadata": {}, - "outputs": [], - "source": [ - "inefficient_users = efficiency_analysis.sort_and_filter_records_with_metrics(\n", - " metrics_df_name_enum=ea.MetricsDataFrameNameEnum.USERS,\n", - " sorting_key=\"expected_value_alloc_vram_efficiency\",\n", - " ascending=True, # we want to find users with low efficiency\n", - " filter_criteria={\n", - " \"expected_value_alloc_vram_efficiency\": {\"max\": 0.3, \"inclusive\": True},\n", - " \"job_count\": {\"min\": 5, \"inclusive\": True}, # Minimum number of jobs to consider a user\n", - " },\n", - ")\n", - "\n", - "# Display top inefficient users by job count\n", - "print(\"\\nTop inefficient users by allocated vram efficiency:\")\n", - "display(inefficient_users.head(10))\n", - "\n", - "\n", - "# Plot top inefficient users by GPU hours, with efficiency as labels\n", - "top_users = inefficient_users.head(10)\n", - "\n", - "plt.figure(figsize=(8, 5))\n", - "barplot = sns.barplot(y=top_users[\"User\"], x=top_users[\"user_job_hours\"], orient=\"h\")\n", - "plt.xlabel(\"Job Hours\")\n", - "plt.ylabel(\"User\")\n", - "plt.title(\"Top 10 Inefficient Users by Allocated VRAM Efficiency Contribution\")\n", - "\n", - "# Annotate bars with expected_value_alloc_vram_efficiency, keeping text fully inside the plot's right spine\n", - "ax = barplot\n", - "xmax = top_users[\"user_job_hours\"].max()\n", - "# Add headroom for annotation space (20% extra)\n", - "xlim = xmax * 1.20 if xmax > 0 else 1\n", - "ax.set_xlim(0, xlim)\n", - "\n", - "# Calculate annotation x-position: place at 98% of xlim or just left of the right spine, whichever is smaller\n", - "for i, (job_hours, efficiency) in enumerate(\n", - " zip(\n", - " top_users[\"user_job_hours\"],\n", - " top_users[\"expected_value_alloc_vram_efficiency\"],\n", - " strict=True,\n", - " )\n", - "):\n", - " # Place annotation at min(job_hours + 2% of xlim, 98% of xlim)\n", - " xpos = min(job_hours + xlim * 0.02, xlim * 0.98)\n", - " # If bar is very close to right spine, nudge annotation left to avoid overlap\n", - " if xpos > xlim * 0.96:\n", - " xpos = xlim * 0.96\n", - " ax.text(xpos, i, f\"Eff: {efficiency:.2f}\", va=\"center\", ha=\"left\", fontsize=10, color=\"black\", clip_on=True)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "22", - "metadata": {}, - "source": [ - "#### [Find Inefficient Users based on `vram_hours`](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "23", - "metadata": {}, - "outputs": [], - "source": [ - "inefficient_users_vram_hours = efficiency_analysis.find_inefficient_users_by_vram_hours(\n", - " vram_hours_filter={\"min\": 200, \"inclusive\": True}, # VRAM-hours threshold for identifying inefficient users\n", - " min_jobs=5, # Minimum number of jobs to consider a user\n", - ")\n", - "# Display top inefficient users by VRAM-hours\n", - "print(\"\\nTop inefficient users by VRAM-hours:\")\n", - "display(inefficient_users_vram_hours.head(20))\n", - "\n", - "\n", - "# Plot top inefficient users by VRAM-hours, with VRAM-hours as labels\n", - "users_with_metrics_visualizer = UsersWithMetricsVisualizer(inefficient_users_vram_hours.head(20))\n", - "users_with_metrics_visualizer.visualize(\n", - " column=\"vram_hours\", bar_label_columns=[\"vram_hours\", \"user_job_hours\"], figsize=(8, 10)\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "24", - "metadata": {}, - "source": [ - "### [PI Group Efficiency Metrics](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "25", - "metadata": {}, - "outputs": [], - "source": [ - "pi_accounts_with_metrics" - ] - }, - { - "cell_type": "markdown", - "id": "26", - "metadata": {}, - "source": [ - "#### [Find Inefficient PIs based on `vram_hours`](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "27", - "metadata": {}, - "outputs": [], - "source": [ - "inefficient_pis_vram_hours = efficiency_analysis.sort_and_filter_records_with_metrics(\n", - " metrics_df_name_enum=ea.MetricsDataFrameNameEnum.PI_GROUPS,\n", - " sorting_key=\"pi_acc_vram_hours\",\n", - " ascending=False,\n", - " filter_criteria={\n", - " \"pi_acc_vram_hours\": {\"min\": 200, \"inclusive\": True}, # VRAM-hours threshold for identifying inefficient users\n", - " \"job_count\": {\"min\": 5, \"inclusive\": True}, # Minimum number of jobs to consider a PI account\n", - " },\n", - ")\n", - "# Display top inefficient users by VRAM-hours\n", - "print(\"\\nTop inefficient PI Groups by VRAM-hours:\")\n", - "display(inefficient_pis_vram_hours.head(20))\n", - "\n", - "top_pi_accounts = inefficient_pis_vram_hours.head(20)\n", - "\n", - "# Plot top inefficient users by VRAM-hours, with VRAM-hours as labels\n", - "plt.figure(figsize=(8, 8))\n", - "barplot = sns.barplot(\n", - " y=top_pi_accounts[\"pi_account\"],\n", - " x=top_pi_accounts[\"pi_acc_vram_hours\"],\n", - " order=top_pi_accounts[\"pi_account\"].tolist(), # Only show present values\n", - " orient=\"h\",\n", - ")\n", - "plt.xlabel(\"VRAM-Hours\")\n", - "plt.ylabel(\"PI Account\")\n", - "plt.title(\"Top Inefficient PI Accounts by VRAM-Hours\")\n", - "# Annotate bars with gpu_hours, keeping text fully inside the plot's right spine\n", - "ax = barplot\n", - "xmax = top_pi_accounts[\"pi_acc_vram_hours\"].max()\n", - "# Add headroom for annotation space (20% extra)\n", - "xlim = xmax * 1.6 if xmax > 0 else 1\n", - "ax.set_xlim(0, xlim)\n", - "# Calculate annotation x-position: place at 98% of xlim or just left of the right spine, whichever is smaller\n", - "for i, (vram_hours, pi_acc_job_hours) in enumerate(\n", - " zip(\n", - " top_pi_accounts[\"pi_acc_vram_hours\"],\n", - " top_pi_accounts[\"pi_acc_job_hours\"],\n", - " strict=True,\n", - " )\n", - "):\n", - " # Place annotation at min(vram_hours + 2% of xlim, 98% of xlim)\n", - " xpos = min(vram_hours + xlim * 0.02, xlim * 0.98)\n", - " ax.text(\n", - " xpos,\n", - " i,\n", - " f\"VRAM-Hours: {vram_hours:.2f}\\n Job Hours: {pi_acc_job_hours:.2f}\",\n", - " va=\"center\",\n", - " ha=\"left\",\n", - " fontsize=10,\n", - " color=\"black\",\n", - " clip_on=True,\n", - " )\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "28", - "metadata": {}, - "source": [ - "## [Example: Analyze all jobs with no VRAM constraints](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "29", - "metadata": {}, - "outputs": [], - "source": [ - "# Filter jobs where no VRAM constraint was set but a GPU was allocated\n", - "no_vram_constraint_efficiency_analysis = ea.EfficiencyAnalysis(jobs_df=preprocessed_jobs_df)\n", - "all_no_vram_constraint_jobs = no_vram_constraint_efficiency_analysis.filter_jobs_for_analysis(\n", - " vram_constraint_filter={\"min\": 0, \"inclusive\": False}, # No VRAM constraints\n", - " gpu_count_filter={\"min\": 1, \"inclusive\": True}, # At least one GPU allocated\n", - " gpu_mem_usage_filter={\"min\": 0, \"inclusive\": False}, # Used more than 0 GiB of VRAM\n", - ")\n", - "\n", - "display(all_no_vram_constraint_jobs.head(10))\n", - "print(all_no_vram_constraint_jobs.shape)" - ] - }, - { - "cell_type": "markdown", - "id": "30", - "metadata": {}, - "source": [ - "### [Job Efficiency Metrics](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "31", - "metadata": {}, - "outputs": [], - "source": [ - "no_vram_constraint_jobs_with_metrics = no_vram_constraint_efficiency_analysis.calculate_job_efficiency_metrics(\n", - " all_no_vram_constraint_jobs\n", - ")\n", - "\n", - "# Set option to display all columns\n", - "pd.set_option(\"display.max_columns\", None)\n", - "# Display the DataFrame\n", - "display(no_vram_constraint_jobs_with_metrics.head(10))\n", - "# To revert to default settings (optional)\n", - "pd.reset_option(\"display.max_columns\")\n", - "print(f\"Jobs found: {len(no_vram_constraint_jobs_with_metrics)}\")" - ] - }, - { - "cell_type": "markdown", - "id": "32", - "metadata": {}, - "source": [ - "#### [Problem with duplicate JobIDs](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "33", - "metadata": {}, - "outputs": [], - "source": [ - "# select jobs with specific job id\n", - "pd.set_option(\"display.max_columns\", None)\n", - "# Display the DataFrame\n", - "display(no_vram_constraint_jobs_with_metrics[no_vram_constraint_jobs_with_metrics[\"JobID\"] == 24374463])\n", - "pd.reset_option(\"display.max_columns\")" - ] - }, - { - "cell_type": "markdown", - "id": "34", - "metadata": {}, - "source": [ - "#### [Top users with most number of jobs that have no VRAM constraints](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "35", - "metadata": {}, - "outputs": [], - "source": [ - "# Plot top users by number of jobs with no VRAM constraints\n", - "if not all_no_vram_constraint_jobs.empty:\n", - " plt.figure(figsize=(10, 5))\n", - " user_counts = all_no_vram_constraint_jobs[\"User\"].value_counts().head(20)\n", - " sns.barplot(x=user_counts.values, y=user_counts.index, orient=\"h\")\n", - " plt.xlabel(\"Number of Jobs\")\n", - " plt.ylabel(\"User\")\n", - " plt.title(\"Top 20 Users: Jobs with no VRAM Constraints\")\n", - " plt.tight_layout()\n", - " plt.show()\n", - "else:\n", - " print(\"No jobs found without VRAM constraints.\")" - ] - }, - { - "cell_type": "markdown", - "id": "36", - "metadata": {}, - "source": [ - "#### [Find inefficient jobs with no VRAM Constraints based on `alloc_vram_efficiency_score`](#toc0_)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "37", - "metadata": {}, - "outputs": [], - "source": [ - "low_alloc_vram_score_jobs = no_vram_constraint_efficiency_analysis.sort_and_filter_records_with_metrics(\n", - " metrics_df_name_enum=ea.MetricsDataFrameNameEnum.JOBS,\n", - " sorting_key=\"alloc_vram_efficiency_score\",\n", - " ascending=True, # Sort by alloc_vram_efficiency_score in ascending order\n", - " filter_criteria={\n", - " \"alloc_vram_efficiency_score\": {\"max\": -10, \"inclusive\": True}, # score threshold\n", - " },\n", - ")\n", - "# Display top inefficient users by alloc_vram_efficiency_score\n", - "print(\"\\nTop inefficient Jobs by allocated VRAM efficiency score:\")\n", - "\n", - "display(low_alloc_vram_score_jobs.head(20))\n", - "\n", - "jobs_with_metrics_visualizer = JobsWithMetricsVisualizer(low_alloc_vram_score_jobs.head(20))\n", - "jobs_with_metrics_visualizer.visualize(\n", - " column=\"alloc_vram_efficiency_score\",\n", - " bar_label_columns=[\"alloc_vram_efficiency_score\", \"job_hours\"],\n", - " figsize=(10, 12),\n", - ")" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/analysis/No VRAM Use Analysis.ipynb b/notebooks/analysis/No VRAM Use Analysis.ipynb new file mode 100644 index 0000000..4359ca2 --- /dev/null +++ b/notebooks/analysis/No VRAM Use Analysis.ipynb @@ -0,0 +1,3181 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# [No VRAM Use Analysis](#toc0_)\n", + "This notebook generates the analysis for jobs run on partitions that their type is GPU but do not use any VRAM. It looks at these jobs, corresponding users, and PI groups." + ] + }, + { + "cell_type": "markdown", + "id": "1", + "metadata": {}, + "source": [ + "**Table of contents** \n", + "- [No VRAM Use Analysis](#toc1_) \n", + " - [Load the data](#toc1_1_) \n", + " - [Setup](#toc1_2_) \n", + " - [Generate all metrics used for analysis:](#toc1_2_1_) \n", + " - [Job Metrics](#toc1_2_2_) \n", + " - [Find most inefficient jobs with no VRAM constraints based on `vram_hours`](#toc1_2_2_1_) \n", + " - [User Metrics](#toc1_2_3_) \n", + " - [Find Inefficient Users based on `vram_hours`](#toc1_2_3_1_) \n", + " - [PI Group Metrics](#toc1_2_4_) \n", + " - [Find Inefficient PIs based on `vram_hours`](#toc1_2_4_1_) \n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "## [Load the data](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": {}, + "outputs": [], + "source": [ + "# Import required modules\n", + "import sys\n", + "from pathlib import Path\n", + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "id": "4", + "metadata": {}, + "source": [ + "Jupyter server should be run at the notebook directory, so the output of the following cell would be the project root:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Project root: ds4cg-job-analytics\n" + ] + } + ], + "source": [ + "project_root = Path.cwd().resolve().parent.parent\n", + "print(f\"Project root: {project_root.name}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6", + "metadata": {}, + "outputs": [], + "source": [ + "# Automatically reload modules before executing code (set this up BEFORE imports)\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "# Add project root to sys.path for module imports\n", + "if str(project_root) not in sys.path:\n", + " sys.path.insert(0, str(project_root))\n", + "\n", + "from src.analysis import efficiency_analysis as ea\n", + "from src.visualization import JobsWithMetricsVisualizer, UsersWithMetricsVisualizer, PIGroupsWithMetricsVisualizer\n", + "from src.config.enum_constants import MetricsDataFrameNameEnum\n", + "from src.config.paths import USERS_VISUALIZATION_DATA_DIR\n", + "from src.utilities import load_and_preprocess_jobs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connected to slurm_data.db\n", + "[Preprocessing] Running with new database format: GPU types as dictionary.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "UserWarning: 6545 duplicate JobIDs detected. Keeping only the latest entry for each JobID.\n", + " processed_data = Preprocess().preprocess_data(jobs_df, apply_filter=False, anonymize=anonymize)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 42 records with errors. Reporting them to a summary file preprocessing_errors.log.\n", + "Processing error log file already exists. Overwriting preprocessing_errors.log\n", + "Disconnected from slurm_data.db\n" + ] + }, + { + "data": { + "text/html": [ + "
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10 rows × 31 columns

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" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName IsArray Interactive \\\n", + "329493 41012953 -1 job.sh False non-interactive \n", + "329492 41012951 -1 job.sh False non-interactive \n", + "329491 41012949 -1 job.sh False non-interactive \n", + "329490 41012881 -1 job.sh False non-interactive \n", + "329489 41012877 -1 job.sh False non-interactive \n", + "329488 41012873 -1 job.sh False non-interactive \n", + "329487 41012869 -1 job.sh False non-interactive \n", + "329486 41012867 -1 job.sh False non-interactive \n", + "329485 41012866 -1 job.sh False non-interactive \n", + "329484 41012864 -1 job.sh False non-interactive \n", + "\n", + " Account User Constraints QOS ... GPUType \\\n", + "329493 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "329492 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "329491 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "329490 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "329489 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "329488 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "329487 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "329486 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "329485 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "329484 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "\n", + " GPUMemUsage GPUComputeUsage CPUMemUsage CPUComputeUsage \\\n", + "329493 0.0 0.0 176635904.0 99.950012 \n", + "329492 0.0 0.0 172380160.0 99.964767 \n", + "329491 0.0 0.0 171646976.0 99.970505 \n", + "329490 0.0 0.0 171102208.0 99.945618 \n", + "329489 0.0 0.0 171216896.0 99.963730 \n", + "329488 0.0 0.0 184594432.0 99.952988 \n", + "329487 0.0 0.0 160063488.0 99.963593 \n", + "329486 0.0 0.0 171073536.0 99.922615 \n", + "329485 0.0 0.0 172363776.0 99.959511 \n", + "329484 0.0 0.0 173252608.0 99.921066 \n", + "\n", + " Queued vram_constraint partition_constraint requested_vram \\\n", + "329493 0 days 00:35:47 11 11 \n", + "329492 0 days 00:36:02 11 11 \n", + "329491 0 days 00:37:20 11 11 \n", + "329490 0 days 00:36:56 11 11 \n", + "329489 0 days 00:36:48 11 11 \n", + "329488 0 days 00:33:03 11 11 \n", + "329487 0 days 00:34:07 11 11 \n", + "329486 0 days 00:32:46 11 11 \n", + "329485 0 days 00:32:19 11 11 \n", + "329484 0 days 00:33:00 11 11 \n", + "\n", + " allocated_vram \n", + "329493 11 \n", + "329492 11 \n", + "329491 11 \n", + "329490 11 \n", + "329489 11 \n", + "329488 11 \n", + "329487 11 \n", + "329486 11 \n", + "329485 11 \n", + "329484 11 \n", + "\n", + "[10 rows x 31 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(660508, 31)\n" + ] + } + ], + "source": [ + "# Load the jobs DataFrame from DuckDB\n", + "preprocessed_jobs_df = load_and_preprocess_jobs(\n", + " db_path=Path(project_root) / \"data/slurm_data.db\",\n", + " table_name=\"Jobs\",\n", + " anonymize=True,\n", + ")\n", + "display(preprocessed_jobs_df.head(10))\n", + "print(preprocessed_jobs_df.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "8", + "metadata": {}, + "source": [ + "## [Setup](#toc0_)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9", + "metadata": {}, + "outputs": [], + "source": [ + "efficiency_analysis = ea.EfficiencyAnalysis(\n", + " jobs_df=preprocessed_jobs_df, metrics_df_name_enum=MetricsDataFrameNameEnum\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "10", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOS...GPUTypeGPUMemUsageGPUComputeUsageCPUMemUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vram
32949341012953<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.01.766359e+0899.9500120 days 00:35:4711<NA>1111
32949241012951<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.01.723802e+0899.9647670 days 00:36:0211<NA>1111
32949141012949<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.01.716470e+0899.9705050 days 00:37:2011<NA>1111
32949041012881<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.01.711022e+0899.9456180 days 00:36:5611<NA>1111
32948941012877<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.01.712169e+0899.9637300 days 00:36:4811<NA>1111
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26939524117204<NA>-1sys/dashboard/sys/bc_jupyterFalsebc_jupyteraccount_189user_548['x86_64']normal...{'1080_ti': 1}0.00.04.177383e+090.1974260 days 00:00:12<NA><NA><NA>11
26939424117128<NA>-1sys/dashboard/sys/bc_vscodeFalsebc_vscodeaccount_07user_576['x86_64', 'gpu:a100']normal...{'a100': 1}0.00.05.710438e+080.4075260 days 00:00:2780<NA>8080
26937924109348<NA>-1cifar10_job.txtFalsenon-interactiveaccount_106user_681[]normal...{'1080_ti': 1}0.00.02.358433e+1078.7812120 days 00:00:10<NA><NA><NA>11
26675524028210<NA>-1interactiveFalseshellaccount_182user_513['amd1900x', 'amd7402', 'amd7543', 'amd7702', ...normal...{'2080': 6}0.00.01.555661e+070.0003940 days 00:00:03<NA>484848
26681523890375<NA>-1sys/dashboard/sys/bc_vscodeFalsebc_vscodeaccount_56user_989['x86_64']normal...{'a100': 1}0.00.05.203149e+070.00006211 days 07:06:20<NA><NA><NA>80
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196645 rows × 31 columns

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" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName IsArray \\\n", + "329493 41012953 -1 job.sh False \n", + "329492 41012951 -1 job.sh False \n", + "329491 41012949 -1 job.sh False \n", + "329490 41012881 -1 job.sh False \n", + "329489 41012877 -1 job.sh False \n", + "... ... ... ... ... ... \n", + "269395 24117204 -1 sys/dashboard/sys/bc_jupyter False \n", + "269394 24117128 -1 sys/dashboard/sys/bc_vscode False \n", + "269379 24109348 -1 cifar10_job.txt False \n", + "266755 24028210 -1 interactive False \n", + "266815 23890375 -1 sys/dashboard/sys/bc_vscode False \n", + "\n", + " Interactive Account User \\\n", + "329493 non-interactive account_98 user_732 \n", + "329492 non-interactive account_98 user_732 \n", + "329491 non-interactive account_98 user_732 \n", + "329490 non-interactive account_98 user_732 \n", + "329489 non-interactive account_98 user_732 \n", + "... ... ... ... \n", + "269395 bc_jupyter account_189 user_548 \n", + "269394 bc_vscode account_07 user_576 \n", + "269379 non-interactive account_106 user_681 \n", + "266755 shell account_182 user_513 \n", + "266815 bc_vscode account_56 user_989 \n", + "\n", + " Constraints QOS ... \\\n", + "329493 ['2080ti'] normal ... \n", + "329492 ['2080ti'] normal ... \n", + "329491 ['2080ti'] normal ... \n", + "329490 ['2080ti'] normal ... \n", + "329489 ['2080ti'] normal ... \n", + "... ... ... ... \n", + "269395 ['x86_64'] normal ... \n", + "269394 ['x86_64', 'gpu:a100'] normal ... \n", + "269379 [] normal ... \n", + "266755 ['amd1900x', 'amd7402', 'amd7543', 'amd7702', ... normal ... \n", + "266815 ['x86_64'] normal ... \n", + "\n", + " GPUType GPUMemUsage GPUComputeUsage CPUMemUsage \\\n", + "329493 {'2080_ti': 1} 0.0 0.0 1.766359e+08 \n", + "329492 {'2080_ti': 1} 0.0 0.0 1.723802e+08 \n", + "329491 {'2080_ti': 1} 0.0 0.0 1.716470e+08 \n", + "329490 {'2080_ti': 1} 0.0 0.0 1.711022e+08 \n", + "329489 {'2080_ti': 1} 0.0 0.0 1.712169e+08 \n", + "... ... ... ... ... \n", + "269395 {'1080_ti': 1} 0.0 0.0 4.177383e+09 \n", + "269394 {'a100': 1} 0.0 0.0 5.710438e+08 \n", + "269379 {'1080_ti': 1} 0.0 0.0 2.358433e+10 \n", + "266755 {'2080': 6} 0.0 0.0 1.555661e+07 \n", + "266815 {'a100': 1} 0.0 0.0 5.203149e+07 \n", + "\n", + " CPUComputeUsage Queued vram_constraint partition_constraint \\\n", + "329493 99.950012 0 days 00:35:47 11 \n", + "329492 99.964767 0 days 00:36:02 11 \n", + "329491 99.970505 0 days 00:37:20 11 \n", + "329490 99.945618 0 days 00:36:56 11 \n", + "329489 99.963730 0 days 00:36:48 11 \n", + "... ... ... ... ... \n", + "269395 0.197426 0 days 00:00:12 \n", + "269394 0.407526 0 days 00:00:27 80 \n", + "269379 78.781212 0 days 00:00:10 \n", + "266755 0.000394 0 days 00:00:03 48 \n", + "266815 0.000062 11 days 07:06:20 \n", + "\n", + " requested_vram allocated_vram \n", + "329493 11 11 \n", + "329492 11 11 \n", + "329491 11 11 \n", + "329490 11 11 \n", + "329489 11 11 \n", + "... ... ... \n", + "269395 11 \n", + "269394 80 80 \n", + "269379 11 \n", + "266755 48 48 \n", + "266815 80 \n", + "\n", + "[196645 rows x 31 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "filtered_jobs = efficiency_analysis.filter_jobs_for_analysis(\n", + " gpu_mem_usage_filter=0, # Used 0 GB of VRAM\n", + ")\n", + "filtered_jobs" + ] + }, + { + "cell_type": "markdown", + "id": "11", + "metadata": {}, + "source": [ + "### [Generate all metrics used for analysis:](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12", + "metadata": {}, + "outputs": [], + "source": [ + "metrics_dict = efficiency_analysis.calculate_all_efficiency_metrics(filtered_jobs)\n", + "\n", + "jobs_with_metrics = metrics_dict[\"jobs_with_efficiency_metrics\"]\n", + "users_with_metrics = metrics_dict[\"users_with_efficiency_metrics\"]\n", + "pi_accounts_with_metrics = metrics_dict[\"pi_accounts_with_efficiency_metrics\"]" + ] + }, + { + "cell_type": "markdown", + "id": "13", + "metadata": {}, + "source": [ + "### [Job Metrics](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "14", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOSStatusExitCodeSubmitTimeStartTimeElapsedTimeLimitPartitionNodeListgpu_countGPUTypeGPUMemUsageGPUComputeUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vramjob_hoursvram_hoursused_vram_giballoc_vram_efficiencyrequested_vram_efficiencyalloc_vram_efficiency_scorerequested_vram_efficiency_scoreused_cpu_mem_giballocated_cpu_mem_gibcpu_mem_efficiencycpu_core_count
32949341012953<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 07:03:022025-08-13 07:38:490 days 01:20:570 days 02:00:00gpu-preempt[ials-gpu005]1{'2080_ti': 1}0.00.099.9500120 days 00:35:4711<NA>11111.34916714.8408330.00.00.0-inf-inf0.1645058.00.0205631
32949241012951<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 07:02:172025-08-13 07:38:190 days 01:20:250 days 02:00:00gpu-preempt[ials-gpu022]1{'2080_ti': 1}0.00.099.9647670 days 00:36:0211<NA>11111.34027814.7430560.00.00.0-inf-inf0.1605428.00.0200681
32949141012949<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 07:00:592025-08-13 07:38:190 days 01:21:250 days 02:00:00gpu-preempt[ials-gpu009]1{'2080_ti': 1}0.00.099.9705050 days 00:37:2011<NA>11111.35694414.9263890.00.00.0-inf-inf0.1598598.00.0199821
32949041012881<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 07:00:222025-08-13 07:37:180 days 01:23:490 days 02:00:00gpu-preempt[ials-gpu029]1{'2080_ti': 1}0.00.099.9456180 days 00:36:5611<NA>11111.39694415.3663890.00.00.0-inf-inf0.1593518.00.0199191
32948941012877<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 06:58:592025-08-13 07:35:470 days 01:20:170 days 02:00:00gpu-preempt[ials-gpu012]1{'2080_ti': 1}0.00.099.9637300 days 00:36:4811<NA>11111.33805614.7186110.00.00.0-inf-inf0.1594588.00.0199321
32948841012873<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 06:58:392025-08-13 07:31:420 days 01:21:090 days 02:00:00gpu-preempt[ials-gpu008]1{'2080_ti': 1}0.00.099.9529880 days 00:33:0311<NA>11111.352514.87750.00.00.0-inf-inf0.1719178.00.0214901
32948741012869<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 06:55:342025-08-13 07:29:410 days 01:04:110 days 02:00:00gpu-preempt[ials-gpu007]1{'2080_ti': 1}0.00.099.9635930 days 00:34:0711<NA>11111.06972211.7669440.00.00.0-inf-inf0.1490718.00.0186341
32948641012867<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 06:54:532025-08-13 07:27:390 days 01:18:470 days 02:00:00gpu-preempt[ials-gpu005]1{'2080_ti': 1}0.00.099.9226150 days 00:32:4611<NA>11111.31305614.4436110.00.00.0-inf-inf0.1593258.00.0199161
32948541012866<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 06:54:502025-08-13 07:27:090 days 01:20:210 days 02:00:00gpu-preempt[ials-gpu005]1{'2080_ti': 1}0.00.099.9595110 days 00:32:1911<NA>11111.33916714.7308330.00.00.0-inf-inf0.1605268.00.0200661
32948441012864<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normalCOMPLETEDSUCCESS2025-08-13 06:54:092025-08-13 07:27:090 days 01:20:280 days 02:00:00gpu-preempt[ials-gpu001]1{'2080_ti': 1}0.00.099.9210660 days 00:33:0011<NA>11111.34111114.7522220.00.00.0-inf-inf0.1613548.00.0201691
\n", + "
" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName IsArray Interactive \\\n", + "329493 41012953 -1 job.sh False non-interactive \n", + "329492 41012951 -1 job.sh False non-interactive \n", + "329491 41012949 -1 job.sh False non-interactive \n", + "329490 41012881 -1 job.sh False non-interactive \n", + "329489 41012877 -1 job.sh False non-interactive \n", + "329488 41012873 -1 job.sh False non-interactive \n", + "329487 41012869 -1 job.sh False non-interactive \n", + "329486 41012867 -1 job.sh False non-interactive \n", + "329485 41012866 -1 job.sh False non-interactive \n", + "329484 41012864 -1 job.sh False non-interactive \n", + "\n", + " Account User Constraints QOS Status ExitCode \\\n", + "329493 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "329492 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "329491 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "329490 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "329489 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "329488 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "329487 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "329486 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "329485 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "329484 account_98 user_732 ['2080ti'] normal COMPLETED SUCCESS \n", + "\n", + " SubmitTime StartTime Elapsed \\\n", + "329493 2025-08-13 07:03:02 2025-08-13 07:38:49 0 days 01:20:57 \n", + "329492 2025-08-13 07:02:17 2025-08-13 07:38:19 0 days 01:20:25 \n", + "329491 2025-08-13 07:00:59 2025-08-13 07:38:19 0 days 01:21:25 \n", + "329490 2025-08-13 07:00:22 2025-08-13 07:37:18 0 days 01:23:49 \n", + "329489 2025-08-13 06:58:59 2025-08-13 07:35:47 0 days 01:20:17 \n", + "329488 2025-08-13 06:58:39 2025-08-13 07:31:42 0 days 01:21:09 \n", + "329487 2025-08-13 06:55:34 2025-08-13 07:29:41 0 days 01:04:11 \n", + "329486 2025-08-13 06:54:53 2025-08-13 07:27:39 0 days 01:18:47 \n", + "329485 2025-08-13 06:54:50 2025-08-13 07:27:09 0 days 01:20:21 \n", + "329484 2025-08-13 06:54:09 2025-08-13 07:27:09 0 days 01:20:28 \n", + "\n", + " TimeLimit Partition NodeList gpu_count GPUType \\\n", + "329493 0 days 02:00:00 gpu-preempt [ials-gpu005] 1 {'2080_ti': 1} \n", + "329492 0 days 02:00:00 gpu-preempt [ials-gpu022] 1 {'2080_ti': 1} \n", + "329491 0 days 02:00:00 gpu-preempt [ials-gpu009] 1 {'2080_ti': 1} \n", + "329490 0 days 02:00:00 gpu-preempt [ials-gpu029] 1 {'2080_ti': 1} \n", + "329489 0 days 02:00:00 gpu-preempt [ials-gpu012] 1 {'2080_ti': 1} \n", + "329488 0 days 02:00:00 gpu-preempt [ials-gpu008] 1 {'2080_ti': 1} \n", + "329487 0 days 02:00:00 gpu-preempt [ials-gpu007] 1 {'2080_ti': 1} \n", + "329486 0 days 02:00:00 gpu-preempt [ials-gpu005] 1 {'2080_ti': 1} \n", + "329485 0 days 02:00:00 gpu-preempt [ials-gpu005] 1 {'2080_ti': 1} \n", + "329484 0 days 02:00:00 gpu-preempt [ials-gpu001] 1 {'2080_ti': 1} \n", + "\n", + " GPUMemUsage GPUComputeUsage CPUComputeUsage Queued \\\n", + "329493 0.0 0.0 99.950012 0 days 00:35:47 \n", + "329492 0.0 0.0 99.964767 0 days 00:36:02 \n", + "329491 0.0 0.0 99.970505 0 days 00:37:20 \n", + "329490 0.0 0.0 99.945618 0 days 00:36:56 \n", + "329489 0.0 0.0 99.963730 0 days 00:36:48 \n", + "329488 0.0 0.0 99.952988 0 days 00:33:03 \n", + "329487 0.0 0.0 99.963593 0 days 00:34:07 \n", + "329486 0.0 0.0 99.922615 0 days 00:32:46 \n", + "329485 0.0 0.0 99.959511 0 days 00:32:19 \n", + "329484 0.0 0.0 99.921066 0 days 00:33:00 \n", + "\n", + " vram_constraint partition_constraint requested_vram allocated_vram \\\n", + "329493 11 11 11 \n", + "329492 11 11 11 \n", + "329491 11 11 11 \n", + "329490 11 11 11 \n", + "329489 11 11 11 \n", + "329488 11 11 11 \n", + "329487 11 11 11 \n", + "329486 11 11 11 \n", + "329485 11 11 11 \n", + "329484 11 11 11 \n", + "\n", + " job_hours vram_hours used_vram_gib alloc_vram_efficiency \\\n", + "329493 1.349167 14.840833 0.0 0.0 \n", + "329492 1.340278 14.743056 0.0 0.0 \n", + "329491 1.356944 14.926389 0.0 0.0 \n", + "329490 1.396944 15.366389 0.0 0.0 \n", + "329489 1.338056 14.718611 0.0 0.0 \n", + "329488 1.3525 14.8775 0.0 0.0 \n", + "329487 1.069722 11.766944 0.0 0.0 \n", + "329486 1.313056 14.443611 0.0 0.0 \n", + "329485 1.339167 14.730833 0.0 0.0 \n", + "329484 1.341111 14.752222 0.0 0.0 \n", + "\n", + " requested_vram_efficiency alloc_vram_efficiency_score \\\n", + "329493 0.0 -inf \n", + "329492 0.0 -inf \n", + "329491 0.0 -inf \n", + "329490 0.0 -inf \n", + "329489 0.0 -inf \n", + "329488 0.0 -inf \n", + "329487 0.0 -inf \n", + "329486 0.0 -inf \n", + "329485 0.0 -inf \n", + "329484 0.0 -inf \n", + "\n", + " requested_vram_efficiency_score used_cpu_mem_gib \\\n", + "329493 -inf 0.164505 \n", + "329492 -inf 0.160542 \n", + "329491 -inf 0.159859 \n", + "329490 -inf 0.159351 \n", + "329489 -inf 0.159458 \n", + "329488 -inf 0.171917 \n", + "329487 -inf 0.149071 \n", + "329486 -inf 0.159325 \n", + "329485 -inf 0.160526 \n", + "329484 -inf 0.161354 \n", + "\n", + " allocated_cpu_mem_gib cpu_mem_efficiency cpu_core_count \n", + "329493 8.0 0.020563 1 \n", + "329492 8.0 0.020068 1 \n", + "329491 8.0 0.019982 1 \n", + "329490 8.0 0.019919 1 \n", + "329489 8.0 0.019932 1 \n", + "329488 8.0 0.021490 1 \n", + "329487 8.0 0.018634 1 \n", + "329486 8.0 0.019916 1 \n", + "329485 8.0 0.020066 1 \n", + "329484 8.0 0.020169 1 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jobs found: 196645\n" + ] + } + ], + "source": [ + "# Set option to display all columns\n", + "pd.set_option(\"display.max_columns\", None)\n", + "# Display the DataFrame\n", + "display(jobs_with_metrics.head(10))\n", + "# To revert to default settings (optional)\n", + "pd.reset_option(\"display.max_columns\")\n", + "\n", + "print(f\"Jobs found: {len(jobs_with_metrics)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "15", + "metadata": {}, + "source": [ + "#### [Find most inefficient jobs with no VRAM constraints based on `vram_hours`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "16", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Top inefficient Jobs by VRAM-hours:\n" + ] + }, + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOS...vram_hoursused_vram_giballoc_vram_efficiencyrequested_vram_efficiencyalloc_vram_efficiency_scorerequested_vram_efficiency_scoreused_cpu_mem_giballocated_cpu_mem_gibcpu_mem_efficiencycpu_core_count
51344239728977<NA>-1ccc_scalingFalsenon-interactiveaccount_113user_688['1080ti', 'amd1900x', 'amd7402', 'amd7502', '...normal...652848.9244440.00.00.0-inf-inf124.94369523680.00.005276192
477038942820<NA>-1DGMR_GCR_36-AlekseiFinalThesisFalsenon-interactiveaccount_205user_97['a100-80g', 'ib', 'amd1900x', 'amd7402', 'amd...long...491612.4444440.00.00.0-inf-inf43.031731800.00.05379032
51242639729122<NA>-1ccc_scalingFalsenon-interactiveaccount_113user_688['1080ti', 'amd1900x', 'amd7402', 'amd7502', '...normal...433576.3911110.00.00.0-inf-inf96.79081723680.00.004087192
59137925094304<NA>-1trainunity.shFalsenon-interactiveaccount_17user_30[]normal...430086.0444440.00.00.0-inf-inf6.600376500.00.01320164
5430924689859<NA>-1BATCH_SCRIPTFalsenon-interactiveaccount_81user_214[]normal...410420.00.00.0<NA>-inf<NA>6.85630432.00.214260100
40611538777893<NA>-1trajGRU_norm-AlekseiFinalThesisFalsenon-interactiveaccount_205user_97['a100-80g', 'ib', 'amd1900x', 'amd7402', 'amd...normal...372101.6888890.00.00.0-inf-inf0.000000800.00.00000032
15795738149589<NA>-1glide-dock_chain_B.shFalsenon-interactiveaccount_292user_311[]normal...294966.6133330.00.0<NA>-inf<NA>2.984634160.00.018654120
51133239729136<NA>-1ccc_scalingFalsenon-interactiveaccount_113user_688['1080ti', 'amd1900x', 'amd7402', 'amd7502', '...normal...279835.3066670.00.00.0-inf-inf124.54820323680.00.005260192
27391939976257<NA>-1ccc_scalingFalsenon-interactiveaccount_113user_688['1080ti', 'amd1900x', 'amd7402', 'amd7502', '...normal...276631.3244440.00.00.0-inf-inf133.37384023680.00.005632192
19880529576693<NA>-1sys/dashboard/sys/bc_desktopFalsebc_desktopaccount_134user_752['x86_64']normal...236547.520.00.0<NA>-inf<NA>127.980667128.00.9998498
\n", + "

10 rows × 39 columns

\n", + "
" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName \\\n", + "513442 39728977 -1 ccc_scaling \n", + "4770 38942820 -1 DGMR_GCR_36-AlekseiFinalThesis \n", + "512426 39729122 -1 ccc_scaling \n", + "591379 25094304 -1 trainunity.sh \n", + "54309 24689859 -1 BATCH_SCRIPT \n", + "406115 38777893 -1 trajGRU_norm-AlekseiFinalThesis \n", + "157957 38149589 -1 glide-dock_chain_B.sh \n", + "511332 39729136 -1 ccc_scaling \n", + "273919 39976257 -1 ccc_scaling \n", + "198805 29576693 -1 sys/dashboard/sys/bc_desktop \n", + "\n", + " IsArray Interactive Account User \\\n", + "513442 False non-interactive account_113 user_688 \n", + "4770 False non-interactive account_205 user_97 \n", + "512426 False non-interactive account_113 user_688 \n", + "591379 False non-interactive account_17 user_30 \n", + "54309 False non-interactive account_81 user_214 \n", + "406115 False non-interactive account_205 user_97 \n", + "157957 False non-interactive account_292 user_311 \n", + "511332 False non-interactive account_113 user_688 \n", + "273919 False non-interactive account_113 user_688 \n", + "198805 False bc_desktop account_134 user_752 \n", + "\n", + " Constraints QOS ... \\\n", + "513442 ['1080ti', 'amd1900x', 'amd7402', 'amd7502', '... normal ... \n", + "4770 ['a100-80g', 'ib', 'amd1900x', 'amd7402', 'amd... long ... \n", + "512426 ['1080ti', 'amd1900x', 'amd7402', 'amd7502', '... normal ... \n", + "591379 [] normal ... \n", + "54309 [] normal ... \n", + "406115 ['a100-80g', 'ib', 'amd1900x', 'amd7402', 'amd... normal ... \n", + "157957 [] normal ... \n", + "511332 ['1080ti', 'amd1900x', 'amd7402', 'amd7502', '... normal ... \n", + "273919 ['1080ti', 'amd1900x', 'amd7402', 'amd7502', '... normal ... \n", + "198805 ['x86_64'] normal ... \n", + "\n", + " vram_hours used_vram_gib alloc_vram_efficiency \\\n", + "513442 652848.924444 0.0 0.0 \n", + "4770 491612.444444 0.0 0.0 \n", + "512426 433576.391111 0.0 0.0 \n", + "591379 430086.044444 0.0 0.0 \n", + "54309 410420.0 0.0 0.0 \n", + "406115 372101.688889 0.0 0.0 \n", + "157957 294966.613333 0.0 0.0 \n", + "511332 279835.306667 0.0 0.0 \n", + "273919 276631.324444 0.0 0.0 \n", + "198805 236547.52 0.0 0.0 \n", + "\n", + " requested_vram_efficiency alloc_vram_efficiency_score \\\n", + "513442 0.0 -inf \n", + "4770 0.0 -inf \n", + "512426 0.0 -inf \n", + "591379 0.0 -inf \n", + "54309 -inf \n", + "406115 0.0 -inf \n", + "157957 -inf \n", + "511332 0.0 -inf \n", + "273919 0.0 -inf \n", + "198805 -inf \n", + "\n", + " requested_vram_efficiency_score used_cpu_mem_gib allocated_cpu_mem_gib \\\n", + "513442 -inf 124.943695 23680.0 \n", + "4770 -inf 43.031731 800.0 \n", + "512426 -inf 96.790817 23680.0 \n", + "591379 -inf 6.600376 500.0 \n", + "54309 6.856304 32.0 \n", + "406115 -inf 0.000000 800.0 \n", + "157957 2.984634 160.0 \n", + "511332 -inf 124.548203 23680.0 \n", + "273919 -inf 133.373840 23680.0 \n", + "198805 127.980667 128.0 \n", + "\n", + " cpu_mem_efficiency cpu_core_count \n", + "513442 0.005276 192 \n", + "4770 0.053790 32 \n", + "512426 0.004087 192 \n", + "591379 0.013201 64 \n", + "54309 0.214260 100 \n", + "406115 0.000000 32 \n", + "157957 0.018654 120 \n", + "511332 0.005260 192 \n", + "273919 0.005632 192 \n", + "198805 0.999849 8 \n", + "\n", + "[10 rows x 39 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_jobs_vram_hours = efficiency_analysis.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=MetricsDataFrameNameEnum.JOBS,\n", + " sorting_key=\"vram_hours\",\n", + " ascending=False, # Sort by vram_hours in descending order\n", + " filter_criteria={\n", + " \"vram_hours\": {\"min\": 80 * 24, \"inclusive\": True}, # VRAM-hours threshold for identifying inefficient jobs\n", + " },\n", + ")\n", + "# Display top inefficient users by VRAM-hours\n", + "print(\"\\nTop inefficient Jobs by VRAM-hours:\")\n", + "display(inefficient_jobs_vram_hours.head(10))\n", + "\n", + "# Plot top inefficient jobs by VRAM-hours, with VRAM-hours as labels\n", + "jobs_with_metrics_visualizer = JobsWithMetricsVisualizer(inefficient_jobs_vram_hours.head(10))\n", + "jobs_with_metrics_visualizer.visualize(\n", + " column=\"vram_hours\", bar_label_columns=[\"vram_hours\", \"allocated_vram\"], figsize=(10, 6)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "17", + "metadata": {}, + "source": [ + "### [User Metrics](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "18", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Userjob_countuser_job_hourspi_accountavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_countvram_hours
0user_01367784.686667account_288<NA><NA>0.00.01.0091581.927880e+04
1user_0243319.341389account_252<NA><NA>0.00.01.0000001.516841e+04
2user_032804482.832222account_05<NA><NA>0.00.03.7092491.023562e+06
3user_0422.2875account_125<NA><NA>0.00.01.0000001.830000e+02
4user_0566283.2975account_111<NA><NA>0.00.01.0000008.409817e+03
.................................
904user_99446341.176944account_68<NA><NA>0.0<NA>1.0000005.862036e+03
905user_99546.508056account_111<NA><NA>0.00.01.0000003.971172e+02
906user_99749278.365278account_116<NA><NA>0.00.01.7241721.875558e+04
907user_99810.5075account_205<NA><NA>0.0<NA>1.0000008.120000e+00
908user_99947.897222account_112<NA><NA>0.0<NA>1.0000001.059911e+02
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909 rows × 10 columns

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" + ], + "text/plain": [ + " User job_count user_job_hours pi_account \\\n", + "0 user_01 367 784.686667 account_288 \n", + "1 user_02 43 319.341389 account_252 \n", + "2 user_03 280 4482.832222 account_05 \n", + "3 user_04 2 2.2875 account_125 \n", + "4 user_05 66 283.2975 account_111 \n", + ".. ... ... ... ... \n", + "904 user_994 46 341.176944 account_68 \n", + "905 user_995 4 6.508056 account_111 \n", + "906 user_997 49 278.365278 account_116 \n", + "907 user_998 1 0.5075 account_205 \n", + "908 user_999 4 7.897222 account_112 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "0 \n", + "1 \n", + "2 \n", + "3 \n", + "4 \n", + ".. ... ... \n", + "904 \n", + "905 \n", + "906 \n", + "907 \n", + "908 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 \n", + ".. ... \n", + "904 0.0 \n", + "905 0.0 \n", + "906 0.0 \n", + "907 0.0 \n", + "908 0.0 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \\\n", + "0 0.0 1.009158 \n", + "1 0.0 1.000000 \n", + "2 0.0 3.709249 \n", + "3 0.0 1.000000 \n", + "4 0.0 1.000000 \n", + ".. ... ... \n", + "904 1.000000 \n", + "905 0.0 1.000000 \n", + "906 0.0 1.724172 \n", + "907 1.000000 \n", + "908 1.000000 \n", + "\n", + " vram_hours \n", + "0 1.927880e+04 \n", + "1 1.516841e+04 \n", + "2 1.023562e+06 \n", + "3 1.830000e+02 \n", + "4 8.409817e+03 \n", + ".. ... \n", + "904 5.862036e+03 \n", + "905 3.971172e+02 \n", + "906 1.875558e+04 \n", + "907 8.120000e+00 \n", + "908 1.059911e+02 \n", + "\n", + "[909 rows x 10 columns]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users_with_metrics" + ] + }, + { + "cell_type": "markdown", + "id": "19", + "metadata": {}, + "source": [ + "#### [Find Inefficient Users based on `vram_hours`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Top inefficient users by VRAM-hours:\n" + ] + }, + { + "data": { + "text/html": [ + "
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Userjob_countuser_job_hourspi_accountavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_countvram_hours
16user_100536765862.13account_304<NA><NA>0.00.06.3270141.157176e+07
802user_8927630677.966667account_195<NA><NA>0.00.03.9999034.928355e+06
642user_732115239166749.4675account_98<NA><NA>0.00.01.0000002.166964e+06
597user_688432981.844444account_113<NA><NA>0.00.063.0698831.956617e+06
254user_3341012537.676389account_265<NA><NA>0.0<NA>55.9576281.916344e+06
333user_41364220399.521111account_272<NA><NA>0.0<NA>6.9541381.695459e+06
209user_288101849064.111389account_94<NA><NA>0.00.03.2723051.551612e+06
659user_752173520756.176944account_134<NA><NA>0.0<NA>7.6292261.347005e+06
2user_032804482.832222account_05<NA><NA>0.00.03.7092491.023562e+06
880user_97991947.043056account_205<NA><NA>0.00.07.5013149.385108e+05
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" + ], + "text/plain": [ + " User job_count user_job_hours pi_account \\\n", + "16 user_1005 367 65862.13 account_304 \n", + "802 user_892 76 30677.966667 account_195 \n", + "642 user_732 115239 166749.4675 account_98 \n", + "597 user_688 43 2981.844444 account_113 \n", + "254 user_334 101 2537.676389 account_265 \n", + "333 user_413 642 20399.521111 account_272 \n", + "209 user_288 1018 49064.111389 account_94 \n", + "659 user_752 1735 20756.176944 account_134 \n", + "2 user_03 280 4482.832222 account_05 \n", + "880 user_97 99 1947.043056 account_205 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "16 \n", + "802 \n", + "642 \n", + "597 \n", + "254 \n", + "333 \n", + "209 \n", + "659 \n", + "2 \n", + "880 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "16 0.0 \n", + "802 0.0 \n", + "642 0.0 \n", + "597 0.0 \n", + "254 0.0 \n", + "333 0.0 \n", + "209 0.0 \n", + "659 0.0 \n", + "2 0.0 \n", + "880 0.0 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \\\n", + "16 0.0 6.327014 \n", + "802 0.0 3.999903 \n", + "642 0.0 1.000000 \n", + "597 0.0 63.069883 \n", + "254 55.957628 \n", + "333 6.954138 \n", + "209 0.0 3.272305 \n", + "659 7.629226 \n", + "2 0.0 3.709249 \n", + "880 0.0 7.501314 \n", + "\n", + " vram_hours \n", + "16 1.157176e+07 \n", + "802 4.928355e+06 \n", + "642 2.166964e+06 \n", + "597 1.956617e+06 \n", + "254 1.916344e+06 \n", + "333 1.695459e+06 \n", + "209 1.551612e+06 \n", + "659 1.347005e+06 \n", + "2 1.023562e+06 \n", + "880 9.385108e+05 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_users_vram_hours = efficiency_analysis.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=MetricsDataFrameNameEnum.USERS,\n", + " sorting_key=\"vram_hours\",\n", + " ascending=False, # Sort by vram_hours in descending order\n", + " filter_criteria={\n", + " \"vram_hours\": {\"min\": 200, \"inclusive\": True}, # VRAM-hours threshold for identifying inefficient users\n", + " \"job_count\": {\"min\": 5, \"inclusive\": True}, # Job count threshold for identifying inefficient users\n", + " },\n", + ")\n", + "# Display top inefficient users by VRAM-hours\n", + "print(\"\\nTop inefficient users by VRAM-hours:\")\n", + "display(inefficient_users_vram_hours.head(10))\n", + "\n", + "\n", + "# Plot top inefficient users by VRAM-hours, with VRAM-hours as labels\n", + "users_with_metrics_visualizer = UsersWithMetricsVisualizer(inefficient_users_vram_hours.head(10))\n", + "users_with_metrics_visualizer.visualize(\n", + " column=\"vram_hours\", bar_label_columns=[\"vram_hours\", \"user_job_hours\"], figsize=(10, 6)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "21", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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16tTRG2+8IUk6cuSI1q5dqyFDhujGG2/M9xo9erT27dunLVu2FNrnyy+/rOeff173339/iT9XUV122WXq3bu3Pv30Uy1dujTf8aefflr//POPHnvsMccTGBaLRX369NG3336bLywfPnxY3377rfr06VPokw1neuyxx5Sbm6spU6Y42rZs2aKMjIx85/7yyy+yWq1q1qxZcT8mAKASKttfOwMAXGr58uXavXu3bDab4uLitGrVKv3444+qX7++vvnmm3PuEzxhwgStXbtW11xzjerXr6/4+Hi9//77qlOnjrp16ybpVAAOCgrSjBkz5O/vL19fX3Xq1ElRUVElqrdGjRrq1q2bRo8erbi4OL399ttq3Lix7rrrLsc5d955p77++mv17dtXQ4YM0f79+zV79mynhc2KW9vAgQN1xRVX6Omnn9bBgwfVpk0b/fDDD1qyZIkeeuihfH2X1JgxY/TBBx9o1KhR2rZtmxo0aKCvv/5aGzZs0Ntvv13sucZnGzlypD7//HN9//33GjFihOMXD0Xh7u6uBx98UOPHj9eKFSv0+++/O7ZSK0j//v3l5uamOXPmqFOnTgWe06NHjwv6RUJxff7557ryyit13XXXafjw4erevbuys7O1cOFCrVmzRjfffLPGjx/vdM2rr76qzp07q127dhozZowaNGiggwcP6sMPP5TJZNKrr75apHu3aNFC/fv310cffaRnn31WISEhmjVrlubMmaPrr79e7du3l4eHh3bt2qVPPvlEXl5e53wcHQBQhbh07XQAQJk4vWXY6ZeHh4cRHh5uXHXVVcY777zjtDXVaWdvGfbTTz8Z1113nREREWF4eHgYERERxrBhw4x//vnH6bolS5YYLVq0MNzc3Jy26OrRo4fRsmXLAusrbMuwefPmGU8++aQRFhZmeHt7G9dcc41x6NChfNe/+eabRmRkpOHp6Wl07drV2Lp1a74+z1Xb2VuGGYZhpKWlGQ8//LARERFhuLu7G02aNDEmTZpk2O12p/MkGffdd1++mgrbyuxscXFxxujRo42aNWsaHh4exsUXX1zgtmbF2TLsNJvNZtSuXduQZCxbtqzAc07/ORe0FVxKSooRGBho9OjRw7j44ouNevXqnfN+PXv2NMLCwozc3Nzzbr91WnG3DCtsy7rCvj9paWnGCy+8YLRs2dLw9vY2/P39ja5duxozZ87M92d52q5du4ybb77ZCAsLM9zc3IywsDBj6NChxq5du/Kde66/12vWrDEkGc8//7xhGIaxc+dOY/z48Ua7du2MGjVqGG5ubkbt2rWNm266ydi+fft5vwcAgKrBZBjsVwEAAAAAQFlgTjcAAAAAAGWE0A0AAAAAQBkhdAMAAAAAUEYI3QAAAACACilr4w4dH/G4DrYapP2h3ZWxbO35r9nwm470ul37I3vpUIehSp23rBwqLRyhGwAAAABQIdkzT8qjZWPVfOORIp2feyhGx4c/Ju9u7VR39ScKuvsmJTw8UZmrtpRxpYVjn24AAAAAQIXk27uzfHt3liTFFeH81M+WyK1ebdWcMFaS5NG0gU5u2ankGV/Jp1enMqy0cFU+dNtsNv3222+qVauWzGYG9gEAAADAVex2u2KPHFXbFi3l5vZfHDV5uMvk6XHB/Z/89S/5XH6pU5v3FR1lfebdC+67pKp86P7tt9/UsWNHV5cBAAAAAPjXuuBLVdvi5XgfPH60ajx2+wX3mxdvlSU02KnNElpD9rQM2bOyZfb2vOB7FFeVD921atWSJP3yyy+qXbu2i6sBAAAASs/JRT8pfcIHkt2QzCb5PnyL3Nu3kD0hSbb9R5X57lzJcL7GvWsbmbxOBQ/jZLZyN/yer9/T55T18bKs4XxMIUEyeXn8W0OODGtyoedc6PGyvIdHv65yb91MJneL0l/5SDLO+AM3mxW84n1ZaoUU9C1wiePHj6tjx46qs3626tWt42g3ebi7sKqyVeVD9+lHymvXrq06deqc52wAAACg/Nhi4pV74KjcG9aRW0RYkc4x7Hbl7j+izNW/KPulj+Qvy3/LI781V3n/fmkxm+VvcpNMzv15Zttl8TkVBPNOZinbnD8SnD6nrI+XZQ2B9w+XT/f2MsxmxQ555NQvJk6zmFV/zWeO77ktJl6HLrlJstsLPOdCj5fpPSY+5rhHamiYEh6dJOXZJYtZoZPHK6B9m3zfm4rALcBXZn/fUu/XEhaivIQTTm15CUky+/u6ZJRbqgahGwAAAHCVc4Xq1NlLlTBu0qkQZTYr9M3xChg5wOmclE8WKvHJt08FRpPk1rCu8uKsMtIzC71nzTfHy7dvNxnZ2Tp86dB8IS3805fPGwRPn1PWx8uyhqA7BzvuEfrmY/nC6Jl/Hm4RYQp9c3yh51zo8fK6R8DIAfLp1VG50cfkHhVZ6C9yqjKvDi2VuXKzU1vWz1vleWlLF1UkmQzDMM5/WuV19OhR1a1bV0eOHGGkGwAAAMVyvpHokobqnOijOtJ5uPPoq8kkn/7dZaSmyxZrlS0mXkZGlvMNTVLQAyPlfXl7WUJDdLTnqPwjn9vn/zfyOXtp/pHPs4L9+c4p6+PldQ9bTPx5w+j5zrnQ4+V1j4qsuPnMnp6p3Ohjp67tdbtCXhor767tZA4OkHudWrK+NEO22ETVmvaMpFNbhh25/DYF3n69/Idfo6x125X41DuqPfcNl61eTugGAABAtXS+QH2+keiCjvvf3Fd58VZl/7FXsbc+5Ty/VpJ743rKsybLfiK1wJrcL2ooj6YN5BYeIntWttI+/ybfORGLp8q76yX/1VAJwmZFqAEVQ3HzWdaG3xQz6IF87f4391XYe08rfuwryj0Sq8gl7zpdk/jMu8r556DcIkIV/MhtChjWv1Q/R3EQugEAAFAlFWcUuuYbD8unVyflxSbKFpuo7D0HlTzpE+dFyEySzzU9Zfbxkj3zpDKXril2TT79u8vrkoskTw8lPT/NOZSfNUpd6BzeM85xfE7CJiqJ6pjPmNMNAACASqnoodqkoAdHyqttc9lircrZe0ipHy3472S7XYnj33Tu3N0t36rfMqTc/UdkCfRTXkp6gTUF3jdM3t3aSRazYoc+mm/xrtDXHnLUavH3vaA5wGeeR9gGKi5GugEAAFDhFO3R74n/LjBmkt9NfeReP0K22ETlHjymk+u2F9yxm0XmIH/ZE5PzHarx/L3yubKz3MJryp6ZpcPthhQ6ylyUUejyevQbqEyqYz5jpBsAAADlrrgLkPlec7myf9+j7B27lbVpp7JWnbE6sWEo/avvZa4ZJPfIWqdGqQtQa+Yr8u3XTXmxiQUGZv8bev83Ch0cUC4rSRdllJqRbKByY6QbAAAA5aqwBcrsWdnK3vmPYgbel28BstPM/r6y1I9Q7p978x07vcBYaY1CSyzeBZS26pjPCN0AAAAodYWNZGfvitbRHrflC9WmAF8ZqRmF9hf08K3yv/lquUfVKXSkuiwe7QZQuqpjPuPxcgAAABRbkR8PN5nkO7CHTGazTu7YI9vBYwX253ddL3l3bi25uyn+ngn5FiALHHWdSx7tBoALRegGAABAsZwdqv2H95d7o7rKi7UqJ/qosn7c9N/JhqGMb9bIs21z+V59mdzqR8j6zNR8obrGo6McAdjIOHneFbsJ1QAqC0I3AAAAisSw25W+cKUSHn7jjEZDaXO+k8nfR24RYTJ5ehR4bcgL/yfvrpdIkszeXhc8Si0RqgFUDoRuAAAAODn70fG8xBNKnbdMqZ9/I9vBmAKvqT3r9XMuYuYeFel4yyg1gOqE0A0AAACHsx8d97ykubL/2CuT2Szf63rJb8JYxY56ptBQXZT51qfPI1QDqA4I3QAAAJB0aoQ7YdzE/+ZbG4ayt+9S0KOjFHTXjbLUCJSkUlnEDACqC0I3AABANXP24+OGYSj7t11KeuMT5wXO/uXTrZ0jcEs8Hg4AxUHoBgAAqEacHh83m+V341XK2XVAOX/slaV2qGQyOe+hfdZ87NMI1QBQNGZXFwAAAIDSZYuJV9b67bLFxOdrdwRuSbLblf7V9zLXCFT43Imq/9t8hU55TLL8+0/EQuZjAwCKjpFuAACAKuTskeyg+4fLrVaITu7YrayNO5wXQPtXjYdvdWznxXxsAChdhG4AAIBK5Oz52KcZ2TnK/HmrEh6Z+N/j4Xa7kt+ZLbm7yfPiJvK+7BKlz//+vI+P8+g4AJQeQjcAAEAl4TyKbZLfjX1k9vLUyR27lbPrgJRrK/C62nMnyqdnB0mSd5c2593OCwBQegjdgIsM/XDTOY9/MaZLOVUCAKhIChvJPrlj91mj2IbSv/pe7k3ry+vSVgoYOUBukbUUe8uT+fbQ9mha3/GWx8cBoHwRugEAACqIs+djBz9ym+RmVuaKDcresbvAa0InjnPMx5bOv4e2xOPjAFCeCN0AAAAVQEEri5+Y/Knk4yXfqy6T35CrZX1mqvM+2gXMx2YkGwAqFkI3AABAOTr78fG85DRlrtyk1FlLC1xZvPZnrzrmY5u9vYo0H5uRbACoOAjdAAAApaiwOdnSWY+Pm0xya1RXtuhjUl6ePFo0kkymfCuLMx8bACo3QjcAAEApOXtOduib4+U3qJey/9irzLVblTx55n8nG4Zs+w4r+Jm7FTDkarnVDj11PfOxAaBKIXQDAAAU0blGsQuak53w8BtKePiNU+893Avs0/vSlnKrHSqJkWwAqIoI3QAAAEVw9ih2zTcelmebZsresVvZO/Yoa+NvBc7JDhw7TP43XS2zn48OdxiabzuvsxdCYyQbAKoWQjcAAMB5FDSKnTj+zVNfu1nk0aKRvNq3VPqh4/nmZAfddaMjRBdlOy8AQNVC6AYAADiPjO83FDiKXXPSOPkP7Sezl6ckybtbu3OGah4fB4Dqh9ANAADwr7PnbGfv/EdJEz9R5vcb8p9sMcu3z2WOwC0VLVTz+DgAVC+EbgAAAJ09Z9skj5aNlfPHXrk3rKOw6c/KnnXy1CPl7JENACgGQjcAAKg2Clt9/NSc7YmS/d/52HZDOX/sVY0JYxV012CZ3E79k8n3ys48Gg4AKBZCNwAAqBbOXn08cOwwuYWFKPv33cra+Pt/gfsMXq2bOgK3xCg2AKD4CN0AAKBKKGwU234yW1lrflXCIxP/W1ncblfK1DmSh7s8L24i726XKP2r7/OtPH72dl4AABQXoRsAAFR6Z8/H9hvcRyZPd2Xv2KOc3QckW16B19WeO1E+PS6VJHl3bsN2XgCAUkfoBgAAlVr+PbQNpc//Xu5NG8irQ0sF3Hat3CLDFDvySedtvyxmeTSp53jLdl4AgLJA6AYAAJVazj+HCtxDO3TiI/Luesl/798cf96RbOZsAwBKG6EbAABUWnnWZCVN/CT/gQLmYzOSDQBwBbOrCwAAACiJ7L/26WifMco9cESBY4dLln//WXOePbS9u15C4AYAlBtGugEAQKVw5urkJ7f9rfixr8i9YV1FLJ4q97rhCrprMKPYAIAKh9ANAAAqPKfVyU0myTDke10vhb3zhMy+3pKYjw0UV15enjIzM5WXV/Dq/ig/JpNJXl5e8vT0dHUpKAOEbgAAUKHlW53cMCSTSSEv/p8jcAMouqysLK1evVr79+9XTk6Oq8vBv0wmkyIjI3XZZZepbt26ri4HpYjQDQAAKrSMHzbmX53cMGQ7GCP3yFquKQqopGw2m+bPn6/09HRdeumlCg8Pl8VicXVZ1Z5hGEpNTdUff/yhhQsX6qabblJERISry0IpIXQDAIAK4cw52+YAP6Uv+kmpny1R9u978p9cwOrkAM4vOjpaCQkJGjFihMLDw11dDs5y0UUXafbs2dq+fTuhuwohdAMAAJdznrMtmTw8ZOTkyueqLgqf84ZscYlKHP/mOffYBnB+hw4dUkhICIG7gnJzc1PTpk3122+/uboUlCJCNwAAcClbTLwSHpl4aq62JBmSkZOriGXT5X1pS8d5vld2ZnVy4AJlZ2fL19e33O538uRJDRs2TKtXr1bTpk31yy+/lNu9KytfX19lZ2e7ugyUIvbpBgAALpO1ZaeOj3ziv8B9mmFI2c4LPLHHNlA+br/9ds2aNUvSqcedo6OjS9zX119/rT179iguLq7AwL1mzRoFBQXla3/hhRc0aNCgEt+3rPTs2VOenp7y8/NzvGJiYhzHt23bpm7duikgIEANGzbU559/7nR9gwYN5O3t7bi2oM9uMpnK+mOgnBG6AQBAubDFxCtr/XbZYuJ1cttfihkyTjED7pORnXNqG7AzMWcbcJlff/1VHTp0UEpKiqxWq6KiokrcV3R0tJo2bVohtsIyDKNUtkd74403lJ6e7nidnnudnJys/v37a+TIkTpx4oTmzZun+++/X+vXr3e6ft68eY5rk5OTL7geVHyEbgAAUOZSZy/VoUtuUsz1D+pQm8E61vce2WLiVevjCaq77nOFTnlMsvz7zxLmbAMuk5GRoWPHjqlZs2b69ddf1b59+/NeM3v2bF100UUKCgpSt27dtH37dknSuHHj9NJLL2np0qXy8/PT888/X6KasrOzdfvtt6tmzZoKDAxUq1at9Ouvv0o6FaSnTp2q5s2bKygoSD179tSuXbsc1zZo0ECvvfaaOnfuLB8fH/3999+aM2eOmjRpIn9/f0VGRuqll14qUV1n27hxozw9PXXPPffIYrGoU6dOuuGGG/TRRx+VSv+ovAjdAACgTJ3aZ3ui87ZfZpNqz5sov2uvkMlsVsDIAaq/fb4iFk9V/e3zFTBygOsKBqqhhQsXKigoSLVq1VJaWpqCg4M1cOBAx+Pfr7zySoHXrV27Vvfee68++OADJSQk6MYbb1Tfvn2VkpKiN998U0899ZQGDBig9PR0vfjiiyWq7bPPPtPvv/+uffv2KTk5WQsXLnQsBDd9+nR9/PHH+vbbb5WYmKgbbrhBAwcOdNp/fObMmfrss8+Unp6uevXqadSoUfr444+Vlpamv/76S3379nWc27p1a82dO/ec9bz88suqUaOGLrnkEqfHx+12u4yzpsrY7Xbt3LnTqe3uu+9WzZo11aVLFy1btqxE3xNULoRuAABQZuwns2V9/SPJftacbbsh2+FYpybmbAOuc8MNNyg5OVmPPPKIXnjhBSUnJ+uyyy7TihUrlJycrKeffrrA62bNmqWRI0fq8ssvl7u7ux566CEFBwfru+++K7Xa3N3dlZaWpl27dskwDDVt2lR169aVJE2bNk0TJkxQkyZN5ObmpgceeEBZWVnasmWL4/p7771XzZo1k8VikZubm9zd3bVr1y6lpqYqKChIHTp0cJy7c+dODR8+vNBaXnvtNe3fv19xcXF6/fXXdf/992vRokWSpC5duigjI0PvvfeecnNztWHDBi1atEipqalO36/o6GgdO3ZM999/vwYPHuwYtUfVRegGAABlInP1LzraY5TSv/peOntdIOZsAxXSmjVr1KNHD+Xm5uq3335Tp06dznn+0aNH1aBBA6e2qKgoHT16tEj3c3d3V25ubr723Nxcubu7S5JuueUWjRo1Svfcc49q1qypUaNGKTExUZJ08OBBjRw5UkFBQY7XiRMnnO5fr149x9e+vr769ttvtWTJEtWtW1fdunXT6tWri1SrdCpYBwYGyt3dXVdffbXuvvtuffnll5KkkJAQffvtt5o7d67Cw8P1xBNPaPTo0QoJCXFc3717d/n4+MjT01PDhw/XwIEDtWDBgiLfH5UToRsAAFywMxdJsx1PUOydz+v4kHGy1A5V3Z9nKnTK48zZBiqo7OxsR2DdsGGDBgwYoBo1aig1NVXh4eHq3r17odfWqVNHBw8edGo7ePCg6tSpU6R7169fX5mZmYqPj3dq379/vyPMu7m56amnntLvv/+uXbt26fDhw45H1evWrav58+crOTnZ8crMzNSwYcMcfZnNzpHnyiuv1LJly5SYmKibbrpJgwYNkv3M6S/FcHbfXbt21caNG2W1WrVu3TrFxsaqR48eRb4eVRP7dAMAgAuSOnupEsZNOjVn22SS3N1kCfRX2PRn5Tf4KplMJnk0i5JPr47ssw1UQJ6enkpOTtb333+v999/X0uWLNFzzz0nHx8fPfHEE+e8duTIkRo4cKBGjhypTp06afr06bJarerfv3+R7l2nTh316NFD48aN09SpU+Xv768ffvhB33zzjWPV71WrVqlGjRpq1aqVfH195eXlJTe3UzHmvvvu03PPPaeoqCg1a9ZMqampWr16tXr16iV/f/9894uLi9PGjRvVu3dv+fn5KSAgwNHX+SQnJ2vjxo2ObcPWrFmjGTNm6H//+5/jnN9++00tWrSQ3W7X7NmztWbNGv3222+SpMOHD+vgwYPq1KmTzGazFi1apCVLlhRrpB2VE6EbAACU2KlF0ib9t0iaYUi5NtVe+LY8mztvM+QWEUbYBiqwRYsW6dprr5UkLVmyxPHY9Ln06NFD7777ru644w4dP35crVq10vLlywvcf7owX3zxhR577DG1atVKGRkZaty4sb744gu1a9dO0qmgfN999+nIkSPy9vZW7969HSuhjx07VhaLRTfccIOOHDkif39/devWTb169SrwXna7Xe+8845Gjx4tu92upk2b6uuvv3aMOLds2VJPPfWURowYke/a3Nxcvfjiixo6dKikUyujT5kyRTfddJPjnKlTp2rRokWy2Wy67LLLtGrVKseWYunp6XrggQe0b98+ubm5qWnTpvrqq6/UuXPnIn+vUDmZjLOX2Ktijh49qrp16+rIkSNFfswFKA9DP9x0zuNfjOlSTpUAQMllrd+umOsfzNcesXiqvLte4oKKAJzLd999p8zMTKegiIpl586dWrlypR555BFXl1ImqmM+YxIBAAAoEcNuV8bydfkPsEgaAAAOhG4AAFBs9rQMxd72tFL+t0C+11zOImkAABTCpaH7tddeU4cOHeTv76+wsDANGjRIe/bscTrn5MmTuu+++xQSEiI/Pz8NHjxYcXFxLqoYAADkHjiqo/3uUdb67Qqf/ZrCZ76i+tvnK2LxVNXfPl8BIwe4ukQAACoMl4bun3/+Wffdd582b96sH3/8Ubm5uerTp48yMjIc5zz88MP69ttvNX/+fP3888+KiYnRDTfc4MKqAQCofk5vCZb29Q862ucuKdemOt9/IN8+XSWdWiTNu+sljHADAHAWl65evmLFCqf3M2fOVFhYmLZt26bLL79cKSkp+vjjjzV37lzHCoSffvqpLrroIm3evJmV/gAAKAdOW4JJcm8epcil02QJzL8dDwAAcFah5nSnpKRIkmrUqCFJ2rZtm3Jzc9W7d2/HOc2bN1e9evW0aVPBKz9nZ2crNTXV8UpLSyv7wgEAqKLybQkmKXfvIRkZWS6sCkBZWb9+vfr166fg4GAFBQWpTZs2mjhxonJycsr0vj179tTbb79dpvcAXKXC7NNtt9v10EMPqWvXrmrVqpUkKTY2Vh4eHvn2+atVq5ZiY2ML7Oe1117Tiy++WNblAqhE2J4NKLncA0edArckKc+u3OhjPEoOVDFLly7VsGHD9NJLL2nWrFmqWbOmdu/erddff13Hjx9X/fr1XV0iUClVmJHu++67T3/++ae++OKLC+rnySefVEpKiuP1999/l1KFAABUP3lJKfkb2RIMqHIMw9ADDzygxx9/XA899JBq1qwp6dRTpjNnzlT9+vW1detWde3aVUFBQWrRooXmzZvnuH7UqFF66KGHHO+Tk5NlMpl08OBBx/G77rpLQ4cOlb+/v5o1a6Y1a9ZIksaNG6d169bp8ccfl5+fn/r16ydJmjJliurVqyd/f381aNBAH330Ubl8L4DSViFC99ixY7V06VKtXr3aaYP08PBw5eTkKDk52en8uLg4hYeHF9iXp6enAgICHC9/f+abAQBQErmHjyvhsTfl1rgeW4IBVdzevXsVHR2tYcOGFXg8OTlZffv21dChQ5WQkKDp06frrrvu0oYNG4p8jy+//FL33HOPkpOTdcstt2jUqFGSpDfffFPdu3fXG2+8ofT0dC1fvlz//POPnnnmGf3www9KS0vTli1b1LFjR0dfQUFBWr9+/QV9ZqC8uDR0G4ahsWPHatGiRVq1apWioqKcjrdv317u7u766aefHG179uzR4cOH1aULj4MCAFBW7OmZir31SZn9fFTnu/fZEgyo4hISEiRJkZEFP8Xy3XffKTQ0VPfff7/c3d3Vo0cPDR8+XJ999lmR79G/f3/17NlTFotFo0eP1qFDh2S1Wgs812KxyDAM/fXXX8rKylKtWrXUunVrx/Hk5GR169atGJ8QcB2Xhu777rtPs2fP1ty5c+Xv76/Y2FjFxsYqK+vU4iyBgYG644479Mgjj2j16tXatm2bRo8erS5durByOQAAZcSw2xU/9hXlHoxR+KzXZakRyJZgQBV3+nHyY8eOFXj86NGjatCggVNbw4YNdfTo0SLf48wnVX19fSWp0EWPGzVqpM8++0zvvfeeatWqpT59+mjHjh1FvhdQkbg0dE+fPl0pKSnq2bOnateu7Xh9+eWXjnPeeustDRgwQIMHD9bll1+u8PBwLVy40IVVAwBQtZ2YPFMZy9ap1ozn5HlRQ1eXA6AcNG3aVA0aNCh0faU6deo45mefdvDgQcfUUD8/P2VmZjqOHT9+vFj3N5vzx5IhQ4Zo9erViouLU5s2bXTLLbcUq0+gonD54+UFvU7P75AkLy8vTZs2TUlJScrIyNDChQsLnc8NAAAuTPo3q3Vi0qeq8eSd8u3Lo5tAdWEymfTuu+/q9ddf17vvvut47Puff/7RHXfcoW7duik+Pl7vv/++bDab1q1bpzlz5ujWW2+VJLVr107ff/+9jh8/rrS0tGLvJlSrVi3t37/f8X7Pnj368ccflZWVJQ8PD/n5+cnNrcJsvAQUS4VYSA0AALiWLSZeKZ9/o7j7XpHfoF4KeogRJaC6GTBggJYvX67vvvtOjRo1UlBQkG688UY1b95ctWvX1vLlyzV79myFhIRozJgxmj59umNe9ciRI9WjRw81b95cbdu21TXXXFOsez/00ENauXKlgoKCNGDAAOXk5OjZZ59VrVq1FBISolWrVmnmzJmO8/38/LRu3brS/PhAmeHXRQAAVHOps5cqYdxEyW5Ikry6tJXJZHJxVQBcoVu3blqxYkWBxzp27KiNGzcWeMzDw0Off/65U9uZj4OfGZilU6uPG4bheN+pUyft2rXL6ZzNmzcXWmd6enqhx4CKhpFuAACqMVtMvFPglqTEp96WLSbehVUBAFB1ELoBAKim7JknlThhhlPgliTl2ZUbXfAKxgAAoHh4vBwAgGoo4/sNSnzybdnirJLJJJ3xmKcsZrlHFbxXLwAAKB5CNwAA1YAtJl65B45Knh5KnjpHmSvWy/uKjor4+i1lbdyhhEcnSXl2yWJW6OTx7McNAEApIXQDAFDFnVoobZJkt0uSTIF+qvXxBPkO7CmTyST3hnXk06ujcqOPyT0qksANoFz069dPAwcO1P/93/8VeHzOnDmaNm1aoYu3AZUFc7oBAKjC/lsoze5oM9Iz5XVpS6cVyt0iwuTd9RICN4AC9ezZU56envLz81ONGjXUs2dPbdu27YL6XL58uSNwr1mzRkFBQU7HR4wYUW6Be82aNTKZTPLz83O8xo4d6zhus9n09NNPq27dugoICND111+v+Pj/FpycOXOmLBaL0/UTJ04sl9pR8RG6AQCoooy8PCW98QkLpQEoFW+88YbS09MVExOjSy65RNddd52rSypVgYGBSk9Pd7zee+89x7FJkybpu+++0+bNmxUXF6fAwECNHDnS6fqLL77Y6frHHnusvD8CKihCNwAAVVDukVjFDHpQaXO/O7VQ2plYKA3ABfDy8tIdd9yhY8eOyWq1Ki4uTkOGDFFoaKjq1aunp59+WjabTZKUlJSk66+/XsHBwQoKClL79u116NAhSadGz99++21ZrVb169dPKSkpjlHidevWaebMmWrbtq0k6a233lKvXr2c6vjyyy/VvHlzx/svvvhCrVu3VlBQkDp06FCqo+SLFi3SAw88oMjISHl7e+vFF1/Ujz/+qIMHD5baPVB1EboBAKhi0hat1NGeo2U7clwRS95V6JTHJMu/P/JZKA3ABcrMzNRHH32k+vXrKyQkRMOHD5e7u7uio6O1bt06LV682PFo9eTJk2Wz2RwB/eOPP5a/v79TfyEhIVq+fLnTSHP37t2dzhk+fLjWr1+vI0eOONpmzZqlW265RZK0bNkyPfroo5o5c6aSkpL05JNPauDAgbJarZKkuXPnqnXr1uf8XOnp6YqIiFCdOnU0YsQIHTv23xNBdrtdxhm7PNj/nbKzc+dOR9uePXsUFhamqKgo/d///Z+Sk5OL+i1FFUfoBgCgkrPFxCtr/Xbl/HNQcfe9rPgxL8qnV0fV+XmmvC9rq4CRA1R/+3xFLJ6q+tvnK2DkAFeXDKASevLJJxUUFKSGDRtq9+7d+uabb3Ts2DGtWrVKU6ZMkZ+fn+rXr6+nn35aM2fOlCS5u7vLarVq7969slgsatu2rWrUqFHse9eqVUu9e/fWnDlzJEnx8fH68ccfHaF72rRpGj9+vNq1ayez2awbbrhBzZs317JlyySdCu1nBuSzNW/eXDt27NCRI0e0detWGYahgQMHOsL1Nddco3feeUeHDx9Wenq6nnvuOZlMJqWmpkqSLr/8cv3xxx+KjY3VqlWr9M8//+i2224r9udE1cTq5QAAVGJnr0wuTw+FTXtafjddnW+hNEa3AVyI1157TQ899JBT25YtW+Tl5aVatWo52ho2bKijR49KksaPH6+TJ09qyJAhSklJ0c0336zXX39d3t7exb7/rbfeqpdeeklPPPGE5s2bp8suu0z16tWTJB08eFBPPfWUnn/+ecf5ubm5TqPV5xIeHq7w8HDH1x9++KECAwP1zz//qHnz5nryySeVlpam7t27Kzc3V+PGjdOSJUsUEhLi+MynRUVFaerUqbr44ouVmZkpHx+fYn9WVC2MdAMAUEmdWpl8ktPK5Mq1ybtbO6fADQBlpU6dOjp58qTi4uIcbQcPHlSdOnUkSX5+fnrjjTe0Z88ebdq0ST/99JPef//9fP2YzeePJdddd52OHj2qbdu2OT1aLkl169bVm2++qeTkZMcrIyNDTzzxRIk+19n/DfXy8tKUKVN06NAhxcTEqH///srJyVGnTp0KvP705znzkXRUX4RuAAAqqdwDR50DtyTZWZkcQPmJjIzUFVdcoUcffVQZGRk6fPiwXnnlFcej1UuXLtU///wju92ugIAAubu7y80t/8O2tWrVUlpamtM2XGfz9vbWjTfeqKefflp///23brrpJsex++67T5MmTdK2bdtkGIYyMzO1cuVKx4j7+axevVrR0dEyDENWq1X33nuvWrZsqSZNmkiSjh8/rkOHDskwDO3du1d33HGHHnnkEcej8suWLdPx48clSUePHtWDDz6ovn37ytfXt2jfSFRpPF4OAFXE0A83nfP4F2O6lFMlKC9u9Wrnb2RlcgDlbO7cuRo7dqzq168vb29vjRgxwrFd1r59+/TAAw8oLi5Ofn5+Gjx4sO699958fTRr1kx33HGHWrRoIZvNpqVLlxZ4r1tvvVU9e/bUsGHDnBZkGzhwoE6ePKm77rpLBw4ckKenpzp27Khp06ZJkubMmaNXX31Vf/31V4H9/vbbb7r11luVlJSkgIAAXXHFFVq6dKksFosk6fDhwxo+fLiOHz+u0NBQ3X333XryyScd169evVq33367UlNTFRISogEDBuiVV14p2TcUVY7JqOLPPBw9elR169bVkSNHHI+5ABUBAan8VJfvdXX5nPhP0uRPdWLip6e2BLPbHSuTs1AagMJ89913yszMdBolRsWyc+dOrVy5Uo888oirSykT1TGfMdINAEAldHLbXzox+TMFj7tNAbcMVG70MblHRbJYGgAAFQyhGwCASsaenqn4e1+WZ5umCn7kNpnc3QjbAABUUIRuAAAqmcTn3pMtLlF15k2UyZ0f5QAAVGT8pAYAoBLJWL5OabO+VeiU8fJoVNfV5QAAgPNgyzAAACoJW5xV8Q+/IZ++3eQ/cqCrywEAAEVA6AYAoBIwDEMJD74uk9misLcek8lkcnVJAKqJOXPmyM/PL9/LYrHoyiuvdFldubm5Gjt2rIKDg1WjRg3df//9stlsLqsHZSfl44U61O4mHahzpY5ePUYnt/99zvOTZ3ylw52H60DdK3WwzWAlPjNV9pPZ5VRtfoRuAAAqOFtMvBKfmarMnzYrdOqTstQMdnVJAKqRESNGKD093em1fPlyeXp66plnnilRn7m5uRdc18svv6z169fr77//1l9//aV169bp1VdfveB+UbGkL/pJic+9p+BHR6nOTx/Jo2VjHR8yTraEEwWen7bgRyW9/IGCx49W3Q2zFfb240pfvEpJr3xYzpX/h9ANAEAFljp7qQ5dcqNSP/xaMkl5sYmuLglANXfs2DHddNNNevXVV3XFFVc42leuXKmOHTsqKChILVu21DfffOM4NmrUKN1xxx0aMmSIAgICNGPGDKWlpWnMmDGqXbu2ateurXvuuUcZGRlFruOTTz7RM88847j+6aef1scff1yqnxWulzzjSwWMHKiA4dfIo1mUQic/KpO3l9Lmflfg+Sd/+VNeHVvJf/BVcq9XWz5XdJTfDb2VvX1XOVf+H0I3AAAVlC0mXgnjJkp241SDISU8Okm2mHjXFgag2srJydGNN96oq666Sg899JCjfefOnbrpppv0+uuvKykpSR988IFuueUW7dmzx3HOvHnzdMcddyg5OVl33HGHHnzwQe3bt09//vmn/vjjD+3evVsPP/yw4/wBAwbo9ddfL7COEydO6OjRo2rbtq2jrW3btjp8+LBSUlJK/XOj9NnTs2RPy3C8jOycfOcYObnK/v0f+fRo72gzmc3yvvxSndz6V4H9enVspezf/3E8gp57MEaZKzfLp3fnsvkgRcDq5QAAVFCZP//6X+A+Lc+u3Ohj7MsNwCXGjh2r7Oxsffih86O6H3zwgUaNGqVevXpJkrp166YBAwboq6++0rPPPitJ6tOnj66++mpJkpeXl+bMmaO1a9cqJCREkvTqq6+qV69emjFjhsxms5YuXVpoHenp6ZKkoKAgR9vpr9PS0hQYGFgqnxdlJ6nrrco1/xdHg8ePVo3Hbnc6Jy8pRcrLkyW0hlO7W1iwsvYdKrBf/8FXKc+aomMD7pMMQ7LlKWDUdQp++NbS/xBFROgGAKACOrn1LyU++17+Axaz3KMiy78gANXehx9+qIULF2rr1q3y9vZ2Onbw4EGtWrVKn376qaPNZrMpICDA8b5evXqOrxMSEpSTk6MGDRo42ho2bKjs7GwlJiYqLOzcv1j08/OTJKWkpKhmzZqOryXJ39+/ZB8Q5arGhs9VJzLC8d7k4V4q/WZt+E3Jb89S6BuPyLN9C+VGH5P16XeU9OZM1Rg3qlTuUVw8Xg4AQAWT+dMWxQx+SJ7NGyrk1Qcly78/ri1mhU4ezyg3gHK3efNmPfzww/ryyy+dgvJpdevW1YMPPqjk5GTHKz09XdOnT3ecYzb/Fz1CQ0Pl4eGhgwcPOtoOHjwoT09PR4g+l+DgYNWpU0c7duxwtO3YsUN169ZllLuSMPt5y+zv63iZPD3ynWOpEShZLMpLSHJqt8WfkCUspMB+k177SH5D+ijgloHybNFIftdcrhpPj1HyO7Nl2O1l8lnOh9ANAEAFkrZwpY6PfFze3dur9vwpCrrrRtXfPl8Ri6eq/vb5Chg5wNUlAqhmYmNjNXjwYE2YMKHQLcLuvvtuffrpp1q9erXy8vKUnZ2tTZs2adeughevMpvNGj58uJ5++mklJSXJarXqqaee0i233OIUzs9l9OjReuWVVxQbG6vY2Fi9+uqruvPOO0v8OVHxmDzc5dmmqTLXbnO0GXa7stZtk9elLQu8xp51Uqaz/w5ZLP9ebOS/oBwQugEAcDFbTLyy1m+XddKnir/7Rfnf2EfhM1+W2dtTkuQWESbvrpcwwg3AJT788EPFxMTo+eefL3C/bkm65JJLNG/ePD3zzDMKDQ1VZGSknn32WWVnF7438jvvvKMGDRqoRYsWatmypRo3bqwpU6Y4jvfr1++cW4A9++yz6tKliy666CJddNFF6tq1q5566qnS++CoEILuuVlps5cq9YvlyvnnoBLHvykjM0v+w/pLkuLue1nWl2Y4zve9uqtSPl2stEUrlXsoRplrflXSax/Jp09XmU6H73LGnG4AAFwodfZSJYybJP37yJt3r44KnfqkTCaTiysDgFOee+45Pffcc+c9r1evXo6F1M42c+bMfG0BAQH66KOPCu1v+fLl57yfu7u7pk2bpmnTpp23NlReftdfqTxrsk688bFs8UnybNVYtb+cLLewU4ur2Y7GOf3MDH7kVslkUtKrHykvNkGWkCD59OmqGk/f5aqPQOgGAMBVTm0J9l/glqSsn7cq73gCo9oAAPwr8M7BCrxzcIHHIpe86/Te5OamGuNHq8b40eVRWpHweDkAAC6Se+CoU+CW5NgSDAAAVA2EbgAAXCRzw2/5G9kSDEAZMplMsrtoBWcUTV5eXpEXk0PlwJ8mAAAukLZopZInz5R3r05sCQag3AQGBspqtSovL8/VpaAQCQkJTvubo/JjTjcAAOUsc902xd/3ivyGXK2w955W3vEE5UYfk3tUJIEbQJlq3LixNm/erK1bt6pjx44s2ljBxMXFac+ePWrTpo2rS0EpInQDAFCOsv/cp9hbn5J310sU9vYTMplMcosII2wDKBdhYWHq3Lmz1q9frz/++EPh4eGyuGgbJfzHbrcrNTVVx48fV3h4uDp16uTqklCKCN0AAJST3MPHdXzoo/JoVFfhn74skzs/hgGUL5PJpMsuu0x169bVnj17lJyczBzvCsLX11d9+vRR06ZN5eHh4epyUIr4aQ8AQBmyxcQr98BRmWsEKu6O52Ty9lT43Iky+/m4ujQA1ZTJZFK9evVUr149V5cCVAuEbgAAykjq7KVO+3CbfL1V56eP5RZWw8WVAQCA8sLq5QAAlAFbTLxT4JYkIytbZm9PF1YFAADKG6EbAIAykHvgqFPgliTZ7cqNPuaaggAAgEsQugEAKAPZuw7kb7SY5R4VWf7FAAAAlyF0AwBQivJS0hR3zwRZn3pHnpe2kMz//qi1mBU6eTxbgwEAUM2wkBoAABfg9Ork7g3rKPfQccXf97LsyWkKm/Gc/Adfdep49DG5R0USuAEAqIYI3QAAlJDT6uQmkyTJq+PFCls8Ve71akuS3CLCCNsAAFRjPF4OAEAJ5Fud3DAkSWHTn3EEbgAAAEI3AAAlkL0rOv/q5IYh2+FY1xQEAAAqJEI3AADFlLFysxIenZT/AKuTAwCAsxC6AQA4B1tMvLLWb5ctJl62Y3GKHf2MYoeNl0fDOgp+8i7JwurkAACgcCykBgBAIfItlObuJkuQv8I+fF5+g66UyWRSwNC+rE4OAAAKRegGAKAABS6UlmtT7YVvy7NZlOM8VicHAADnwuPlAAAUIPfA0QIXSrMnJrukHgAAUDkRugEAKIB7wzr5G1koDQAAFBOhGwCAAtiOJ5z6wmQ69b8slAYAAEqAOd0AAJzFsNuV+PRUebRsrPBZr8p2OJaF0gAAQIkQugEAOEv61z8oe9vfilg8Ve51a8u9bm1XlwQAACopQjcAAGewp2dq3xNTdahVaz3910npr035zvliTBcXVAYAACoj5nQDAHCGE+/MlndWllb0vcbVpQAAgCqA0A0AwL9yD8YoZfqXWte9p5KDg11dDgAAqAII3QAA/Mv6wjSZQ4K09vKeri4FAABUEYRuAAAkZa7dqozv1irk+XuV6+Hh6nIAAEAVQegGAFR7hs0m6zPvyqvjxfK7/kpXlwMAAKoQVi8HAFR7qZ9/q5zd0arz4/9kMplcXQ4AAKhCGOkGAFRr2bsOyPrSDPkOukKebZq5uhwAAFDFELoBANVW6uylOtrjNhnpmcpYslqps5e6uiQAAFDFELoBANWSLSZeCeMmSsa/DXZDCY9Oki0m3qV1AQCAqoXQDQColk7+vkeyG86NeXblRh9zTUEAAKBKInQDAKodw25XykcL8h+wmOUeFVn+BQEAgCqL0A0AqHaS3/9CJ9duU8BdN0qWf38UWswKnTxebhFhri0OAABUKWwZBgCoVrI271TSyx8q6IERCnn2HgWPHabc6GNyj4okcAMAgFJH6AYAVBt5iScUd9fz8urQSjWevFOS5BYRRtgGAABlhsfLAQDVgpGXp7h7X5Jhs6nW/16QyY3fOwMAgLLHvzgAANXCibdnKevnrao9f4rcwmu6uhwAAFBNMNINAKjyMtdt04k3PlHwo6Pk0+NSV5cDAACqEUa6AQBVli0mXie3/qWE8VPk3b2dgsfd5uqSAABANUPoBgBUSamzlyph3CTJbpckeffuIpPF4uKqAABAdcPj5QCAKscWE+8UuCUp6cX3ZYuJd2FVAACgOiJ0AwCqnJz9R5wCtyQpz67c6GOuKQgAAFRbhG4AQJViGIbSv/4x/wGLWe5RkeVfEAAAqNYI3QCAKsMwDFlfeF9pc7+T341XSZZ/f8xZzAqdPF5uEWGuLRAAAFQ7LKQGAKgSDMNQ0ksfKOX9L1Tz1QcVeNeNCnn2HuVGH5N7VCSBGwAAuAShGwBQ6RmGoaTXPlLyu3MU8tJYBd51oyTJLSKMsA0AAFyK0A0AqLRsMfHKPXBUGT9sVMr0LxXywv8p6J6bXV0WAACAA6EbAFApnb0Pt+81PRR03zAXVwUAAOCMhdQAAJVOQftwZ6xYxz7cAACgwiF0AwAqndwDR9mHGwAAVAqEbgBApWPy88nfyD7cAACgAiJ0AwAqFcNmk/WF92Xy95XM7MMNAAAqNhZSAwBUKicmzdTJTb8rYuHbco+KZB9uAABQoRG6AQCVRuZPW3Riymeq8dRd8u56iSQRtgEAQIXG4+UAgErBdixOcf/3krx7dVLQgyNdXQ4AAECRELoBABWekWtT3F0vyOTlqVrvPyOTmR9fAACgcuDxcgBAhWd95QOd/G2XIpe8K0tIkKvLAQAAKDJCNwCgwrLFxCv1i+VKmfaFQibcJ6+OF7u6JAAAgGIhdAMAKqTU2UuVMG6iZDck6dQWYQAAAJWMSyfFrV27VgMHDlRERIRMJpMWL17sdHzUqFEymUxOr759+7qmWABAubHFxDsFbklKfHSybDHxLqwKAACg+FwaujMyMtSmTRtNmzat0HP69u2r48ePO17z5s0rxwoBAOUt+4+9ir3reafALUnKsys3+phrigIAACghlz5e3q9fP/Xr1++c53h6eio8PLycKgIAlBdbTLxyDxyVe8M6cosIU/auAzox8RNlLP1ZljrhkskkGWcEb4tZ7lGRrisYAACgBCr8nO41a9YoLCxMwcHB6tWrl15++WWFhIS4uiwAwAU4NV97kmS3S2aTPFs3U/bve+RWN1yhbz8h/yFXK+3LFUp4dJKUZ5csZoVOHi+3iDBXlw4AAFAsFTp09+3bVzfccIOioqK0f/9+PfXUU+rXr582bdoki8VS4DXZ2dnKzs52vE9LSyuvcgEARXBqvva/gVuS7Iayd+xWjWfvUdA9Q2TycJckBYwcIJ9eHZUbfUzuUZEEbgAAUClV6NA9dOhQx9cXX3yxWrdurUaNGmnNmjW68sorC7zmtdde04svvlheJQIAiin3wNH/AvcZvNq3cATu09wiwgjbAACgUnPpQmrF1bBhQ9WsWVP79u0r9Jwnn3xSKSkpjtfff/9djhUCAM7HrX7t/I3M1wYAAFVUhR7pPtvRo0dltVpVu3YB/2D7l6enpzw9PR3vU1NTy6M0AEARGIah5HfnnlokzaRTK5QzXxsAAFRhLg3d6enpTqPW0dHR2rFjh2rUqKEaNWroxRdf1ODBgxUeHq79+/frscceU+PGjXX11Ve7sGoAQEklvzVLqZ8uVuiUx+RzZSfmawMAgCrPpaF769atuuKKKxzvH3nkEUnSbbfdpunTp2vnzp367LPPlJycrIiICPXp00cvvfSS00g2AKBySJ37nZJe+5+CH79dAbcMlCTCNgAAqPJcGrp79uwp48w9WM/y/fffl2M1AICykvHjJiU8MkkBt16r4HGjXF0OAABAualUc7oBAJWHLSZeuQeOyp6RpbgxL8inTxfVfONhmUwmV5cGAABQKMNuV270UeUlJOfbccX7srbF7o/QDQAodamzlzrtxe3WIEK1PnhBJjd+7AAAgIrr5Na/FHfPi7IdiZPOfirbZFKjuJ+L3Sf/+gEAlCpbTLxT4JYk2+FY2U+kyOzNHG4AAFBxJTw6WZ5tmqv23Imy1Ao5tePKBSJ0AwBKVe6Bo/kexZLdrtzoYyycBgAAKrTc6KMK/+QluTesU2p9mkutJwAApFM/pM7+rbDFLPeoSNcUBAAAUESe7VooN/pYqfbJSDcAoFTlWVMks0my69RcKItZoZPHM8oNAAAqvMA7Byvx+fcUFG+VZ4tGkpvF6bhny8bF7pPQDQAoNfasbMXdO0EezRsq/NOXZYuJl3tUJIEbAABUCnGjn5EkJTz4+n+NJtOpgQQWUgMAuFrSSzNkOxijOis/kntUJI+UAwCASqXetq9KvU9CNwCgVGSu2qKU/32tkFcelEfzKFeXAwAAUGzudcNLvU9CNwDgguVZkxV//6vy7tlBgXfe4OpyAAAASiw3+piSP/hKuXsPSZI8mjZQ4JibSvwEH6uXAwAuiGEYShg3WUauTWHvPiWTmR8tAACgcspctUWHu92i7N92yaNFI3m0aKST2//Wke63KnPNryXqk5FuAMAFSZu3TBnf/axan74st/Cari4HAACgxKwvfaCgu4co5Ll7nNsnzJB1wnT59OxQ7D4ZjgAAlIgtJl5p839QwhNvy39Yf/kN6OHqkgAAAC5I7t5D8h9xTb52/xH9lfvPoRL1yUg3AKDYUmcvVcK4SZLdLknybNPMxRUBAABcOHNIkHL+3CePRnWd2nP+2CdLzaAS9UnoBgAUiy0m3ilwS1Li0+/It1839uMGAAClLuXjhUqeNk958UnyaNlINV97SF7tWhR6fl5KmpJe+Z8yvvtZeclpcq9TSyEvPyDfq7qc914BtwxQwriJyj0UI68OrSRJJ3/5Q8nvzlHgvTeXqH5CNwCcx9APN533nC/GnP8/4lVF7oGjToFbkpRnV270MY1cuv+c11an71NZO9/fS77XAICqIH3RT0p87j2FThonr/YtlPzBfB0fMk51N82VW2hwvvONnFwdv/ERWWoGqdYnL8mtdqhsR2JlDvQv0v2Cx42S2c9Hye9/qaSXP5AkWcJrKnj87Qocc2OJPgOhGwBQLCd37M7faDGf2kbjr3OHbgAAgOJInvGlAkYOVMDwU/OsQyc/qswfNylt7ncKfnBkvvNT536nvORURS6bLpP7qbjrXq92ke9nMpkUdM/NCrrnZtnTMyVJZj+fC/oMLKQGACiy1HnLlDRhhry6tpUs//4IsZgVOnk8j5YDAIAis6dnyZ6W4XgZ2Tn5zjFycpX9+z/y6dHe0WYym+V9+aU6ufWvAvvNXLFBXpe2VMLjU3SwxbU63P1WnXjrcxl5ecWu0eznc8GBW2KkGwBQRGnzv1fCg68r4JaBqjlpnPJiE5UbfUzuUZEEbgAAUCxJXW9Vrvm/OBo8frRqPHa70zl5SSlSXp4soTWc2t3CgpW1r+CVxHMPxci2PlZ+g69S7XmTlHvgqBIenyLDlqca40cXeM2RXrcrYuE7sgT568gVt0umwuuuu+qTIn7CM+ot9hUAgGonbeFKxY99Vf7D+qvmpHEymc1yiwgjbAMAgBKpseFz1YmMcLw3ebiXTsd2uyw1gxQ6ZbxMFos82zSTLTZBye/NKzR0+/br7ri/b79ukukcqbsECN0AgHNKX7xK8fe+JP+b+ij0rcdkMjMzCQAAXBizn7fM/r7nPMdSI1CyWJSXkOTUbos/IUtYSMHX1AqRyd1NJovF0ebepIHy4pNk5OQWGO7PDONnj7aXBv7lBAAokC0mXkmTPlXc3S/K74YrFfrOEwRuAABQbkwe7vJs01SZa7c52gy7XVnrtsnr0pYFXuPV8WLlRh+TccZOK7n7j5wK40UYTT906ZBTj7WfJS8lTYcuHVKCT0HoBgAUIHX2Uh1qe6NOTPxEstvl1aWN02+MAQAAykPQPTcrbfZSpX6xXDn/HFTi+DdlZGbJf1h/SVLcfS/L+tIMx/mBowcp70SqEp96Rzn7Dyvjh41KfmeWAm+/oUj3sx2OlZFnz9duZOfKFpNQos/A4+UAACe2mHglPDJRMgxHW+JjU+TbuwtzuAEAQLnyu/5K5VmTdeKNj2WLT5Jnq8aq/eVkuYWdWlzNdjROpjPmYLtF1lLEV28q8dl3dbTHaFlq11TgXTcq6IER57xPxor1jq+zVm+ROcDP8d7Isytr7bZibT12JkI3AMBJxsrNToFbkpRnV270MUI3AAAod4F3DlbgnYMLPBa55N18bV4dWqnOig+KdY/YW5869YXJpPixrzofdHeTe91whUy4r1h9nkboBgA45B6KUdKr/8t/wGKWe1Rk+RcEAABQDhrFr5UkHWo/RHV++FCWkKBS65s53QAASVKeNVnHb35UlgA/1XhprGT590eExazQyeMZ5QYAAFVe/W1flWrglhjpBgBIsmee1PGRT8iemq7I76bLPSpS/tdeodzoY3KPiiRwAwCAaiHxybflFlVHQWNudGpP+WiBcqOPqeYrDxS7T0a6AaCaM2w2xd31vHL+PqDwuRMdj5G7RYTJu+slBG4AAFBtpC/9Wd6dLs7X7tWhldK/XVOiPhnpBoBqzDAMJYx/U5mrtqj2nDfk1ba5q0sCAABwGfuJVJn9ffO1m/19ZS9g/+6iIHQDQDVki4lX7oGjylixXmmzlyrsvafl06uTq8sCAABwKbeoSGWu2qLAhnWc2jN/2iy3+mwZBgAogtTZS5UwbpJkt0uSfK/pIf+b+7q4KgAAANcLuudmJT75lvKsyfLu1k6SlLVum5Knf6maL99foj4J3QBQjdhi4p0CtyRlrFgnW0w8c7cBAEC1FzDiGhk5OTrx1iydePMzSZJbvXCFThxX4kEKQjcAVCO5B446BW5JUp5dudHHCN0AAACSAkdfr8DR1ysv8YRMXp4y+/lcUH+EbgCoRgxTAY0Ws2PFcgAAAJxiqRlcKv0QugGgmrDFJiph7KuyhNdUXnzSqRFvi1mhk8czyg0AAPCv9G9WK33JatmOxcnIyXU6VnfVJ8Xuj9ANANWA58ksHR/6qAy7oTrffyBJyo0+JveoSAI3AADAv5I//FpJr34o/6H9lLFivQKG9VfuwWPK/m23Am6/vkR9ErpR4Qz9cNM5j38xpks5VYLq4nx/50qjD1f+vbXYbBox53PZrHGKXPq+I2RX1rB9od/r0vjzBgAAVVPqp4sUOuUx+d/QW2lfLFfQ2OFybxChpNc/Ut6JtBL1aS7lGgEAFYjJbteNX3+peocPKXzW6/JoHuXqkgAAACos27E4eXVoJUkyeXvKnp4pSfK76WqlL1pZoj4J3QBQBQWkJCtq/z5dt3iBWv25U18NGSbvLm1cXRYAAECFZgmrIfuJVEmSe2Qtndz2lyTJdvi4ZBgl6pPHywGgimm/9RcNWrxA5n9/MOxo01Z/t7zYxVUBAABUfN7d2inj+w3ybN1U/sP6y/rsu8r4do2yd+yW7zU9StQnoRsAqpCAlGSnwC1JrXf+ru+v7u/CqgAAACqH0CmPndrhRVLgHTfIXCNA2b/8Kd+ruyrgtutK1CehGwCqkBBrolPgliSzYSjEanVRRQAAAJWDYbPpxNuzFDD8GseCs/7X95b/9b0vqF/mdANAFWINqamzZxvZTSZZQ0JcUg8AAEBlYXJzU/K782TY8kq1X0I3AFQhOR6eynVzdwRvu8mkxYMGKzUwyJVlAQAAVArel7dX1sYdpdonj5cDQBXSdcNaySS9f+8D8szJljUkhMANAABQRD5XdlLSSzOUs+uAPNs0k9nHy+m4b99uxe6T0A0AVYRPRrq6blinzZ0vU0ydOq4uBwAAoNJJfGyKJCll+pf5D5pMahT3c7H7JHQDQBVx+do1Mkwmreve09WlAAAAVEqN4teWep/M6QaAKsAWm6jOmzdq42Xdlenr6+pyAAAAKpVDbQcrLynF8T7lowWyp2WUSt+EbgCoAk5M+Vy57u5a3627q0sBAACodGwxCTLy7I731lc+VJ415RxXFF2JQnfDhg1lLWDP1+TkZDVs2PCCiwIAFF3u4eNKnf2t1nXvqWwvb1eXAwAAUPkZZ2/CWnIlCt0HDx5UXl7+vcuys7N17NixCy4KAFB0JybPlCXIX5u6dHV1KQAAADhLsRZS++abbxxff//99woMDHS8z8vL008//aQGDRqUWnEAgHPL2XdYaV+uUMiEsco1ebi6HAAAgEorbfa3Mvn6nHqTl6e0L5bJXCPI6ZygMTcWu99ihe5BgwZJkkwmk2677TanY+7u7mrQoIHefPPNYhcBACiZExM/kSW8pgJuu1b6fLurywEAAKiU3OrUUurspY73lrAQpc3/wfkkUzmEbrv91MTyqKgo/frrr6pZs2axbwgAKB3Zf+1T+qKfFDplvMxenq4uBwAAoNKqv31+mfVdon26o6OjS7sOAEAx2GLilTD+TVnqhMt/aH9XlwMAAIBClCh0S9JPP/2kn376SfHx8Y4R8NM++eSTCy4MAFCw1NlLlTBuomQ3JJNJaV+uUMDIAa4uCwAAAAUo0erlL774ovr06aOffvpJiYmJOnHihNMLAFA2bDHxShg36VTgliTDUMKjk2SLiXdtYQAAAChQiUa6Z8yYoZkzZ+qWW24p7XoAVCJDP9x03nO+GNPlgvo43/VFrcPVSuNzSqdWK9dZTxcpz67caLZrROkrrb+3AABUZyUa6c7JydFll11W2rUAAM7BMAylfbE8/wGLWe5RkeVfEAAAAM6rRKH7zjvv1Ny5c0u7FgBAIQzDUOKTbyt9/g/yG9pPsvz7n2+LWaGTx8stIsy1BQIAAFQRudHHZH31f4ob84JsCaemT2es3Kyc3SVbULxEj5efPHlSH374oVauXKnWrVvL3d3d6fiUKVNKVAwAID/DMGR95l2lfrxQoVPGK+CWaxXy5J3KjT4m96hIAjcAAEApydrwm44PGy+vjhcra9PvqvHUGCk0WDl/7VPanKUK//TlYvdZotC9c+dOtW3bVpL0559/Oh0zmUwl6RIAUADDMGR94X2lfDhfNSeNU8At10qS3CLCCNsAAAClzPryB6rx5J0KuneoDjTo42j37t5OKR8vLFGfJQrdq1evLtHNAABFZxiGkl76QCnvf6Garz2kwFGDXF0SAABAlZbz9wH5znguX7ulZrDsSSkl6rPE+3QDAMqGLSZeOfuPKGPZOqV+tEAhL92vwDsHu7osAACAKs8c6Ke8OKvc60c4tWf/sVeW2jVL1GeJQvcVV1xxzsfIV61aVaJiAKC6S5299N99uE9tC+Z77RUKumeIi6sCAACoHvyuv1LWCTNU6+MJkskk2e3K2rJT1hemyX9I3xL1WaLQfXo+92m5ubnasWOH/vzzT912220lKgQAqjtbTLxT4JakjO9+li0mnvnbAAAA5SDk6TFKeHyKDrUdLOXZdbjbLVKeXX6Deyv4kVtL1GeJQvdbb71VYPsLL7yg9PT0EhUCANVd7oGjToFbkpRnV270MUI3AABAOTB5uCvsrccVPG6UcnYdkJGRJY+Lm8ijUd0S91mifboLM3LkSH3yySel2SUAVBuZa7flb7SY5R4VWf7FAAAAVENZm3dKktzr1JLvVV3kN6jXBQVuqZRD96ZNm+Tl5VWaXQJAtZA84yslv/W5vK/qIln+/U+zxazQyeMZ5QYAACgnMTc8qEPth8j68gfK2RNdKn2W6PHyG264wem9YRg6fvy4tm7dqmeffbZUCgOA6qLzpg2yLl2ioPtHqMazdyvveIJyo4/JPSqSwA0AAFCOGvyxSOmLflL6wpVKnjpHHi0aye/Gq+R/Q+8S/7usRKE7MDDQ6b3ZbFazZs00YcIE9enTp5CrAABn67hlkwYuXaLA/xuqGs/eLZPJJLeIMMI2AACAC1hCghR452AF3jlYuYdilL5gpdK+XKGklz+UV5c2ilz0TrH7LFHo/vTTT0tyGQBAUkBKskKsiYo8ekT9vl+uDZd10y0v/N85t2IEAABA+XKvH6GgB0fIo1UjJb32sU5u3FGifkoUuk/btm2bdu3aJUlq2bKlLrnkkgvpDgCqvPZbf9GgxQtkNgwZkvZHNdKy/gN1K4EbAACgwsjaslPpC35U+rdrZJzMkW+/bgp55u4S9VWi0B0fH6+hQ4dqzZo1CgoKkiQlJyfriiuu0BdffKHQ0NASFQMAVVlASrIjcEuSSVLUwQMKSE1xbWEAAACQJFlfmqH0xatki02UT49LVfOVB+Xbt5vMPiVfMLxEq5fff//9SktL019//aWkpCQlJSXpzz//VGpqqh544IESFwMAVVmINdERuE8zG4ZCrFYXVQQAAIAzndz0u4LuG6YGOxeq9tyJ8r+h9wUFbqmEI90rVqzQypUrddFFFznaWrRooWnTprGQGgAUItvDU4ZOjXCfZjeZZA0JcVVJAAAAOEPksuml3meJQrfdbpe7u3u+dnd3d9nt9gsuCgCqGrfcXF377WJleXvL6+RJmQ1DdpNJiwcNVmpgkKvLAwAAqLYyVqyXz5WdZXJ3U8aK9ec817dvt2L3X6LQ3atXLz344IOaN2+eIiIiJEnHjh3Tww8/rCuvvLIkXQJA1WUYGrR4gcJjj+vDMf+ndD8/hVitsoaEELgBAABcLPbWp1T/ryVyCw1W7K1PFX6iyaRGcT8Xu/8She733ntP1157rRo0aKC6detKko4cOaJWrVpp9uzZJekSAKqsbuvX6pId2/XFzcMVE1lHkgjbAAAAFUSj+LUFfl1aShS669atq+3bt2vlypXavXu3JOmiiy5S7969S7U4AKjsmu7Zpau/X6Y1PXrpj9ZtXVrL0A83XXAfX4zpUqY1XGj/lUVR/iyqy/cCAICKJO3LFfIb1EsmTw+ndiMnV+mLfpL/zX2L3WexVi9ftWqVWrRoodTUVJlMJl111VW6//77df/996tDhw5q2bKl1q1bV+wiAKAqqpkQr5u/nKc9zZprZW8WmQQAAKjo4h94TXmpGfna7emZin/gtRL1WazQ/fbbb+uuu+5SQEBAvmOBgYG6++67NWXKlBIVAgBVRUBKsprt+ku3zfxYKYGBmn/TMBnmEu3QCAAAgPJkGDKZ8jfbYhJkDvAtUZfFerz8999/1xtvvFHo8T59+mjy5MklKgQAqoL2W3/RoMULZDYMGZJ+uKqvsr0ubG9HAAAAlK0jV9x+al9Xk0kxgx+SLJb/Dtrtyj10XD69OpWo72KF7ri4uAK3CnN05uamhISEEhUCAJVdQEqyI3BLp/67fdXK77XjknYsnAYAAFCB+fbvLknK+XOfvK/oKLOvj+OYyd1NbvVqy29AjxL1XazQHRkZqT///FONGzcu8PjOnTtVu3btEhUCAJVdiDXREbhPMxuGQqxWQjcAAEAFVmP8aEmSW91w+Q3qJbOXZ6n1XaxJhv3799ezzz6rkydP5juWlZWl559/XgMGDCi14gCgMskzW2Sc1WY3mWQNCXFJPQAAACiegKH9SjVwS8Uc6X7mmWe0cOFCNW3aVGPHjlWzZs0kSbt379a0adOUl5enp59+ulQLBIDKwC03VwOXLlG6r698MzNlNgzZTSYtHjSYUW4AAIBKwsjLU8qMr5S+ZLVsR+Nk5OY6HY/au6zYfRYrdNeqVUsbN27UvffeqyeffFLG6XmLJpOuvvpqTZs2TbVq1Sp2EQBQ2V3z3TcKTYjXjHvGKtPHRyFWq6whIQRuAACASuTEpE+VOnupgv5vqJJe+5+CH7pVuUeOK2P5egWPG1WiPosVuiWpfv36WrZsmU6cOKF9+/bJMAw1adJEwcHBJSoAACq71r//po6/btGiQYMVWztCkgjbAAAAlVDagh8VOuUx+fa5TEkTP5HfDb3lHhWp5BZfK3vbX5JuLHafxQ7dpwUHB6tDhw4lvRwAqoSaCfEatHiBfmvbTlsv7ejqcgAAAHAB8uKT5NGikSTJ7Oste2q6JMm3z2U68fpHJeqzWAupAQD+456To+FzZyklMEjfXHu9ZDK5uiQAAABcALfaocqLS5QkuTeIVOaaXyVJ2b/tkjwL3z77XAjdAFBCA79drOATSZo3bKRyPEt3lUsAAACUP9/+lytr7TZJUuCdg5X0+kc63HGY4sa+ooBh15SozxI/Xg4A1VVASrK6bNqg9tu36uvBQxRfK9zVJQEAAKAUhDx3j+Nrv+uvlFudWjq59U+5N6wr36u7lqhPQjcAFEP7rb9o0OIFMhuGDElmu93VJQEAAKCMeHVoJa8OrS6oD0I3ABRRQEqyI3BLkknSoMULtLdJU1YrBwAAqKQyVqwv8rm+fbsVu39CNwAUUYg10RG4TzMbhkKsVkI3AABAJRV761NFO9FkUqO4n4vdv0tD99q1azVp0iRt27ZNx48f16JFizRo0CDHccMw9Pzzz+t///ufkpOT1bVrV02fPl1NmjRxXdEAqq3gpKR8bXaTSdaQEBdUAwAAgNLQKH5tmfbv0tXLMzIy1KZNG02bNq3A4xMnTtTUqVM1Y8YMbdmyRb6+vrr66qt18uTJcq4UQHXnl5amvt8vV0x4bdn/3RrMbjJp8aDBjHIDAACgUC4d6e7Xr5/69etX4DHDMPT222/rmWee0XXXXSdJ+vzzz1WrVi0tXrxYQ4cOLc9SAVRnhqEbFs6XYTJp5ui7ZMmzKcRqlTUkhMANAABQhSRN/vScx2s8OrrYfVbYOd3R0dGKjY1V7969HW2BgYHq1KmTNm3aROgGUG46/rJZzf7Zrc9vGa0MPz9JImwDAABUQRnfrXN6b9hssh0+LpPFIrcGEVUrdMfGxkqSatWq5dReq1Ytx7GCZGdnKzs72/E+LS2tbAoEUC3UTIhXv+VLtaVjF+1pfpGrywEAAEAZqrv6k3xt9rQMxd//qnz7dy9RnxU2dJfUa6+9phdffNHVZQCoAiw2m4Z8NU8pgUFa3u+aMr3X0A83lWn/paUy1FkZagQAAJWH2d9XwY/drtiRT8h/SN/iX18GNZWK8PBwSVJcXJxTe1xcnONYQZ588kmlpKQ4Xn///XeZ1gmg6uq1aqXCY49r/k1Dlevh4epyAAAA4CL21AzZU9NLdG2FHemOiopSeHi4fvrpJ7Vt21aSlJqaqi1btujee+8t9DpPT095eno63qemppZ1qQCqoPoHo3X52tVa2ftqHatT19XlAAAAoBwkf/i1c4NhKC/OqrT538vnys4l6tOloTs9PV379u1zvI+OjtaOHTtUo0YN1atXTw899JBefvllNWnSRFFRUXr22WcVERHhtJc3AJSmgJRk1T4eo2uXLNLhevW19vKeri4JAAAA5STlg6+cG8wmWUKC5H9zXwU/dEuJ+nRp6N66dauuuOIKx/tHHnlEknTbbbdp5syZeuyxx5SRkaExY8YoOTlZ3bp104oVK+Tl5eWqkgFUYe23/qJBixfIbBgyJG3ufJkMc4WdhQMAAIBSVn/bV+c/qZhcGrp79uwpwzAKPW4ymTRhwgRNmDChHKsCUB0FpCQ7ArckmST1+XGFfm97CduDAQAAoMQq7JxuAChPIdZER+A+zWwYCrFaCd0AAADVhP1ktlI+WqCT639TXuIJGXa70/G6q/JvKXY+hG4AkJQaEChDp0a4T7ObTLKGhLiqJAAAAJSzhIfeUOaaX+Q3sKc8210kmUznv+g8CN0AIOnytWuUZ7HIbLfLbBiym0xaPGgwo9wAAADVSOYPGxU+b6K8O7UutT4J3QCqvUu2b9Wl237Vghtu0r7GTRRitcoaEkLgBgAAqGYstWvK7OdTqn2yLC+Aai0sLlbXfrNI29pdqu3tOyg1MEjRDRsRuAEAAKqhkBfHyjphhnKPxJZan4x0A6i2PLKzNWzebCXVCNG3Awe5uhwAAAC4mFfbZkrOztHhS2+WydtTJnfnyBy1d1mx+yR0A6ieDEPXLVmowJRkvf9/DyjXw8PVFQEAAKAAKR8vVPK0ecqLT5JHy0aq+dpD8mrX4rzXpS1aqfgxL8qnXzfV/vy1It0r7u4XlXc8QTWeHiNLaDALqQFASV269Re1/f03fTlkmBJDw1xdDgAAAAqQvugnJT73nkInjZNX+xZK/mC+jg8Zp7qb5sotNLjQ63IPH5f1+ffl1blNse538tc/FblshjxbNb7Q0h2Y0w2gWglISdalv2zRgG8Xa0vHztrZ5hJXlwQAAIBCJM/4UgEjBypg+DXyaBal0MmPyuTtpbS53xV6jZGXp/h7JqjGY7fLvX7tYt3PvXE9GSezL7RsJ4x0A6g22m/9RYMWL5DZMGRIig0v3n+EAQAAUDrs6Vmyp2U43ps83GXydJ7uZ+TkKvv3fxT84Mj/zjOb5X35pTq59a9C+z4xeaYsocEKGDlAJzf/Xqy6Qp69R9bn3lONp8fI46KG+eZ0m/19i9WfROgGUE0EpCQ7ArckmSQN/Haxdje/iJXKAQAAyllS11uVa/4vjgaPH60aj93udE5eUoqUlydLaA2ndrewYGXtO1Rgv1mbdyp1znequ/qTEtV1/OZHJUkxNzzkfMAwJJNJjeJ+LnafhG4A1UKINdERuE8zG4ZCrFZCNwAAQDmrseFz1YmMcLw3ebhfcJ/29EzF3/eyQqc8JktIUIn6iFj0zgXXcTZCN4BqwRpSU4ZOjXCfZjeZZA0JcVVJAAAA1ZbZz/u8j2pbagRKFovyEpKc2m3xJ2QJy/9vuNzoY7IdPq7YkU/812i3S5L2h/dUvU1z5B4Vec57enct/fV+CN0AqgWz3S7DZJJhSGYZsptMWjxoMKPcAAAAFZTJw12ebZoqc+02+fa/XJJk2O3KWrdNgXfckO989yb1VGftZ05tSa/9T0Z6pkJeeVBukeffsSZr445zHve+rG2R6z+N0A2gWujx82plefvog7v/TwGpqbKGhBC4AQAAKrige25W/P2vyrNtc3m1u0gpH8yXkZkl/2H9JUlx970st/CaCnn2Hpm9POV5UUOn6y0BfsqT8rUXJmbQA/kbz9irmzndVdzQDzdd0PVfjOlSSpWU3IV+BvynKN/LivBnfqFK4+9MYHKy2m3fqpW9+8haM1TWmqGlUBlQtvjvJQAAkt/1VyrPmqwTb3wsW3ySPFs1Vu0vJ8st7NTiarajcTKZTOfppega7Fvm3JBrU/Yfe5X0+keq8dRdJeqT0A2gyrt87RrleHhqS6fK/0sIAACA6ibwzsEKvHNwgccil7x7zmvD3nu6WPeyBPjla/Pp2UEmdzclPveefH76uFj9SZK52FcAQCUSkJKiS7du0Yau3ZXj6eXqcgAAAFAJWcJqKHffkRJdy0g3gCqt2/qflevuoU1dLnN1KQAAAKjgsv/a59xgSHlxVp2YOluerRqXqE9CN4Aqyy8tTR1/2ay1l1+hbC9vV5cDAACACu7oFbefWjjNMJzaPS9tqbB3nijkqnMjdAOosrqt/1l5FjdtvKyrq0sBAABAJVBv21dO701mk8whQTJ7eZa4T0I3gCrJNz1dnbZs0oaul+ukt4+rywEAAEAl4F43vNT7ZCE1AFVS1w1rZZhM2tC1m6tLAQAAQAWXuW6bDncdKXtaRr5jeanpOtztFmVt+r1EfRO6AVQ5PhkZ6rx5ozZ37qosH19XlwMAAIAKLuWD+Qq4ZaDM/vn/7WgJ8FPArdcpZcaXJeqb0A2gyrls4zqZDEPru3V3dSkAAACoBHL+2iefXp0KPe5zRQdl/76nRH0TugFUKaFxx9V1wzr91radMn39XF0OAAAAKoG8hBMyuRW+5JnJYlGeNblEfRO6AVQZ7bf+ogenviWP3Fx12PqL2m/9xdUlAQAAoBKw1K6pnN0HCj2e/fd+WWqFlKhvQjeAKiEgJVmDFi+Q6d/3ZsPQoMULFJCS7MqyAAAAUAn4XNlZSa9/LPvJ7HzH7FnZOjHxE/ledVmJ+mbLMABVQsSxYzIbhlOb2TAUYrUqNTDINUUBAACgUgh+5DYd/W6tjnQeroA7bpBH43qSpJy9h5X6yUIZeXYFPXxrifomdAOo9Mx5eeq2/mcZkmOkW5LsJpOsISV7DAgAAADVh1tYDUUum67E8W8q6eUPpdODOSaTfK7oqJpvPCy3sBol67sU6wQAl+i74jvVO3JY67tdrq4b1slsGLKbTFo8aDCj3AAAACgS97rhqv3FJOUlpyk3+qhkGHJvWFeWIP8L6pfQDaBSa7/1F3XduF7fDBykLZ0v08bLuinEapU1JITADQAAgGKzBPnLcslFpdYfoRtApVXv0EFd+80i/dKhk7Z06iJJSg0MImwDAACgwmD1cgCVUmDyCY2Y87mO1K2npQOuk0ym818EAAAAlDNCN4BKxz0nRyNnf6Zcd3fNHX6L8tx4aAcAAAAVE/9SBVBpBKQkKyQxUV03rFXNxAR9cPd9yvT1c3VZAAAAQKEI3QAqhfZbf9GgxQsce3Fv7thZsbUjXFwVAAAAcG6EblQ6Qz/cdM7jX4zpUk6VlK3zfc7qJCAl2SlwS1LHX7fo5569WDQNcKGK8N/jovy3sqr8XAAAVE7M6QZQ4YUkJjoFbkkyG4ZCrFYXVQQAAAAUDaEbQIVmstvVbvvWfO12k0nWkBAXVAQAAAAUHaEbQIVlsdk05Ku5avv7b9retp3s/24LZjeZtHjQYB4tBwAAQIXHnG4AFZJH9kmNmDNLDQ4e0LxhI/V3y4v1Y5++CrFaZQ0JIXADAACgUiB0A6gwAlKSFWJNVKa3j25YtEA1E+M1c9Qdim7YWJKUGhhE2AYAAEClQugGUCGcuSWYISnbw1Mf3XWPjkdEuro0AAAAoMSY0w3A5c7eEswkySM3Rxm+vq4tDAAAALhAhG4ALhdiZUswAAAAVE2EbgAudyKohoyz2tgSDAAAAFUBoRuAy3XbsFaGycSWYAAAAKhyWEgNgEt1+GWzumzeqMXX3aA9zZqzJRgAAACqFEI3AJfJ2rhDA79drM2duujXjp0libANAACAKoXHywG4RO6RWMXe/owO1W+g76651tXlAAAAAGWC0A2g3NnTMxV7yxMy+/lo3rBbZLdYXF0SAAAAUCZ4vBxAubHFxCtn32Elv/+lcg/GKHL5DGWui3N1WQAAAECZIXQDKBeps5cqYdwkyW6XJAXccYM8L2ooEboBAABQhfF4OYAyZ4uJdwrckpQ6c7FsMfEurAoAAAAoe4RuAGUu/ZvVToFbkpRnV270MdcUBAAAAJQTHi8HUGbqHTqomMFfKmvttvwHLWa5R0VKf+0v/8IAAACAckLoBlBqAlKSFWJNlEd2jjpv2aime/9RXstGCv/sFdmSUpT46GQpzy5ZzAqdPF5uEWGSCN0AAACougjdAEpF+62/aNDiBTIbhiQpxT9Ac4eN1DNv3yWT+dRMFt9enZQbfUzuUZH/Bm4AAACgaiN0A9XY0A83nfP4F2O6FKmfgJRkp8AtSf7paTpSt54jcEuSW0QYYRvVwvn+v1VRaijq/8cBAEDJsZAagAvW8MB+p8AtSWbDUIjV6qKKAAAAgIqB0A3ggniezNIVq1bKOKvdbjLJGhLikpoAAACAioLQDaDETHa7hnw1T76ZGfqx99Wym0ySTgXuxYMGKzUwyLUFAgAAAC7GnG4AJXbVj9+r6T97NOuW0fqnWXP91q69QqxWWUNCCNwAAACACN0ASihtwY/qsXa1lvW7Rv80ay5JSg0MImwDAAAAZ+DxcgDFdvK3XUp46HVtv6S9NnS93NXlAAAAABUWI90AisUWm6jYW5+SR8vGWjLwBunfedwAAAAA8mOkG0CR2GLilbFqi44Pf0ySFD7zFdnc3V1cFQAAAFCxMdIN4LxSZy9VwrhJkt0uSQp6+Fa5hdeUtNe1hQEAAAAVHCPdAM7JFhOvhHETHYFbkpKnzpYtJt6FVQEAAACVA6EbQKGMnFwlTZ4p2Q3nA3l25UYfc0lNAAAAQGXC4+UAChR1YL+OXDFNufuOSCZJZ+Zui1nuUZHSX/tdVR4AAABQKRC6AUiSAlKSFWJNVJaXt7ptWKdLdmyXuUMr1fnpY2Xv2K2ERydJeXbJYlbo5PFyiwiTROgGAAAAzoXQDUDtt/6iQYsXyGwYMiTleHho4fU36dEZY2Uym+XZqrF8enVUbvQxuUdF/hu4AQAAAJwPoRuo5gJSkh2BWzr1JLl7bq72Nmkik/m/ZR/cIsII2wAAAEAxsZAaUJ0Zhjpt3ugI3KeZDUMhVquLigIAAACqDka6gWoqLyVNQ76aqzY7f5ehUyPcp9lNJllDQlxVGgAAAFBlMNINVENZG3foaM/RavrPHn1x83Atuv5G2U2nYrfdZNLiQYOVGhjk2iIBAACAKoCRbqCasMXEK+efQ8pYsV6pnyySV+fWenfY7UoJCpYk7W3SVCFWq6whIQRuAAAAoJQQuoFqIHX2UiWMmyjZT83d9r3mctX6eIJSPv7lv3MCgwjbAAAAQCkjdBfR0A83nfP4F2O6lFMlZYvPecr5Puf5rq9ITu7YrYRH3pDOWCstY8V65cWdf6G0yvQ5gfJUVf6/Udafoyj9V5WfKwAAFIbQDVRRfmlpSnxmqlI+WeQUuCVJeXblRh9zSV0AAABAdULoBqqIgJRkhVgTlento0t2bFenLZuU5u2pwDsHK+WDrxyPlkuSLGa5R0VKf+13XcEAAABANUDoBqqA9lt/0aDFC2Q2DBmSbG5uWte9h27/cJwsQf7yaNpACY9OkvLsksWs0Mnj5RYRJonQDQAAAJQlQjdQyQWkJDsCt3Rqv21LXp5+7dBJdwX5nzpn5AD59Oqo3Ohjco+K/DdwAwAAAChrhG6gkuv4y2ZH4D7NbBgKsTovlOYWEUbYBgAAAMqZ2dUFACi5LhvX64o1q/Ktk2Y3mWQNCXFJTQAAAAD+Q+gGKiPDUO8fV2jAd99obfceWjRosOwmk6RTgXvxoMHsuQ0AAABUADxeDlQyJrtd1y1ZqA5bf9Hyvv21vntPSdLeps0UYrXKGhJC4AYAAAAqCEI3UAmc3g4sJSBIV/+wTBft+ltfDx6i39pd6jgnNTCIsA0AAABUMIRuoII7ezuwPLNZc4ffqt0XtXB1aQAAAADOgzndQAVW0HZgZsNQTESEawsDAAAAUCSEbqACC7EmFmk7MAAAAAAVE6EbqMDC4uLYDgwAAACoxAjdQAVkstt19YplunbpEh2uW4/twAAAAIBKioXUgArGKytLN385V433/aPv+g/Qxsu6KyA1he3AAAAAgEqI0A1UAKe3BDNk0vWLF8gnM0MzR92h/Y2bSmI7MAAAAKCyqtCh+4UXXtCLL77o1NasWTPt3r3bRRUBpe/sLcFS/QM0/d77lRRS09WlAQAAALhAFTp0S1LLli21cuVKx3s3twpfMlBkBW0J5p+eJht/zwEAAIAqocL/y97NzU3h4eGuLgMoE+faEozHyQEAAIDKr8KvXr53715FRESoYcOGGjFihA4fPuzqkoBSYw2pyZZgAAAAQBVWoUe6O3XqpJkzZ6pZs2Y6fvy4XnzxRXXv3l1//vmn/P39C7wmOztb2dnZjvdpaWnlVS5QbOl+/sry9pZ3VpZMYkswAAAAoKqp0KG7X79+jq9bt26tTp06qX79+vrqq690xx13FHjNa6+9lm/xtYpg6IebXF0CiqG8/rxa/blTPllZ+mT0nbKbLaW+JVhF+HtXEWpA5cHfl+rnfH/mX4zpUk6VFK4y1AgAqLgq/OPlZwoKClLTpk21b9++Qs958sknlZKS4nj9/fff5VghUAyGoW7r12pfoyba37ipohs2YoQbAAAAqGIqVehOT0/X/v37Vbt27ULP8fT0VEBAgONV2GPogKs1OBityJhjWt/tcleXAgAAAKCMVOjQ/eijj+rnn3/WwYMHtXHjRl1//fWyWCwaNmyYq0sDLli39WsVF1ZLe5s0dXUpAAAAAMpIhZ7TffToUQ0bNkxWq1WhoaHq1q2bNm/erNDQUFeXBlyQkMQENduzS4sHDZZMJleXAwAAAFRYKR8vVPK0ecqLT5JHy0aq+dpD8mrXosBzU2d9o7Qvv1fO7gOSJM82zVTj6TGFnl8eKnTo/uKLL1xdAlAmum5Yr0wfX/3e5hJXlwIAAABUWOmLflLic+8pdNI4ebVvoeQP5uv4kHGqu2mu3EKD852ftWGH/G7oLa8OrWTy8lDy1Dk6ftM41V3/udxqu2bwtkI/Xg5URd6ZGbrkt63a3LmLbO7uri4HAAAAqLCSZ3ypgJEDFTD8Gnk0i1Lo5Edl8vZS2tzvCjy/1oznFHj79fK8uIk8mtRX6NuPy7DblbV2WzlX/h9CN1DOOm3ZLJNhaEsntpgBAABA9WRPz5I9LcPxMrJz8p1j5OQq+/d/5NOjvaPNZDbL+/JLdXLrX0W6j5GVLdlsMge7boHtCv14OVDVWGw2dd68Ub9d0l6Zvn6uLgcAAABwiaSutyrX/F8cDR4/WjUeu93pnLykFCkvT5bQGk7tbmHBytp3qEj3sU6YLkt4TXlffumFF11ChG6gHLXeuUP+6Wna0LW7q0sBAAAAXKbGhs9VJzLC8d7kUfrTLk+8M1vpi35SxOKpMnt5lnr/RUXoBsqLYajb+rXa3ay5EkPDXF0NAAAA4DJmP2+Z/X3PeY6lRqBksSgvIcmp3RZ/QpawkHNemzxtnpKnzlHtBW/Js2XjC673QjCnGygnjfbvVXhcrNZ3u9zVpQAAAAAVnsnDXZ5tmirzjEXQDLtdWeu2yevSloVed+LdOTrx5meq/eVkebVtXh6lnhMj3UA56bZ+nWJqRyg6qpGrSwEAAAAqhaB7blb8/a/Ks21zebW7SCkfzJeRmSX/Yf0lSXH3vSy38JoKefYeSdKJqXOU9MbHqjXjObnVDZctzipJMvt6y+zn45LPQOgGykHDfXvVdO8efXvNtZLJ5OpyAAAAgErB7/orlWdN1ok3PpYtPkmerRqr9peT5RZ2anE129E4mc7493XqzMVSTq7ibn/WqZ+CFmorL4RuoIy13/qLrl/0tSTpmmXfKtfDQ9su7ejiqgAAAIDKIfDOwQq8c3CBxyKXvOv0vv72+eVRUrEwpxsoQyGJCbp+0dc6/bs3s2Fo0OIFCkhJdmVZAAAAAMoJI91AWTAMXbTrL123eIHOfpjcbBgKsVqVGhjkisoAAAAAlCNCN1DKgpOsGrB0iZrv2a39UY3ke/CAzIbhOG43mWQNOfcWBwAAAACqBkI3cIECUpIVYk1UcmCw2uzcoZ5rflKGr59mj7hVuy5qqfbbftWgxQtkNgzZTSYtHjSYUW4AAACgmiB0Axeg/dZfHIHakGSYTFrfrYdWX3Glcjw9JUnbLu2ovU2aKsRqlTUkhMANAAAAVCOEbqCEAlKSHYFbkkySDEmbulzmCNynpQYGEbYBAACAaojVy4ESMOflqcfPq53makv/LZIGAAAAABIj3aVm6IebXF3CeZVHjZXh+3Ch6h4+pOuWLFSt2OMyJKfVyVkkDQBKV3X4uVJRlMb3+osxXUqhEgCoWgjdwHmcXigtw8dXl23aoA5bf9HRyDqace/9Co89ziJpAAAAAApF6AbO4eyF0nLd3LTk2uv1a4dOMsxmHatTl0XSAAAAABSK0A0UIiD5hAYtWiCz/lsozS0vT7ubXyTD/N9yCCySBgAAAKAwhG7gbIahJnv/0TXffeMI3KedXiiNkA0AAACgKAjdqPZOz9m21ghRaGKirvzpB9U/fEhHIyJlN5mcVihnoTQAAAAAxUHoRrV29pxtk6Qjderq01F3aF/jpmq/7VcWSgMAAABQYoRuVFsBKcmOQC2dCtx2k0lzh41UalCwJGnbpR1ZKA0AAABAiRG6US255+To6hXLnB4dl/6ds52U5AjdEgulAQAAACg5QjeqnYwV6/XgO2/KLy3V8Uj5aczZBgAAAFCaCN2o8mwx8co9cFTy9FDy1DnKXLFeCU2a6pPb71JU9AHmbAMAAAAoM4RuVGmps5cqYdwkyW6XJJkC/VTrk5f0dIyHZDIpKaQmc7YBAAAAlBlCNyo1x3ZfITUdgfn/27v3qKrq/P/jr3O4KSIQqBDeKBXvQomYWlJ5xct8dSyt9KeCadPMr2YWo/1ymqW1fpPOr/xOs359dfkrxct3KpW8pGPTN1ILJjFGFPui4iXJtBAFBRQK5Jz9+6M8dTikqJwb5/lY66wVe3/23u9Nn3Xo1f7sz8ewWFR3/LRqPv6XLi7+D/10qW3jSo1aDewjlXxh28Y72wAAAACchdANr9Vwua+T3boroL5exS8vklHzXeMHWay6Wvy1S+sEAAAA4LvM7i4AuBWNLffV/YuTqmndWhH/a45itv1fdf70PyVzgy7uZ1bAXR1dXzAAAAAAn0Tohlfq+mWxw3JfJkl7hw1X+K8fU+th9ygwLlbt/32B5PdDN/czq/2yBfKP6eD6ggEAAAD4JIaXw+vcdeoL/WL71iYt9xU6Y4KCH07S1eKvFXBXRwI3AAAAAJcidMN7GIYGf5ar8Tu3q/iuu1XUq7fGvf/3Gy735R/TgbANAAAAwC0I3fBo12Ynrwi7Q8nZezRof54+HXq/Phg7XlY/Px3u25/lvgAAAAB4LEI3PFbD2cmtJpPenTJVB+9NtLVhuS8AAAAAnoyJ1OCRGpud3CTpi27d3VoXAAAAANwMnnTjpjz2Rq5LrhNZXuYwO7nZMBRZXs6TbQBAi3O7f183zBvSTJUAAJobT7rhkS6FR8hosK2x2ckBAAAAwJMRuuGRkv71mQyTSVbT94uCXW92cgAAAADwVAwvh8eJO3ZUydl79MGYcToUn8Ds5AAAAAC8FqEbHiWs4pIezdyoop699c/7h8swmwnbAAAAALwWw8vhMfzq6/XYhrdUGxSodx+ZJsNM9wQAAADg3Ug18BijP/yHYr75Whsem6Fvg4PdXQ4AAAAA3DZCNzxCn8OFuv/THH0wdrzOdu7i7nIAAAAAoFnwTjfcKrSyQrHFp/SL7VtV2LefcocMc3dJAAAAANBsCN1wm4H78zRp22aZDUOGpFN33S39sEQYAAAAALQEDC+HW4RWVtgCtySZJE3YuUOhlRVurQsAAAAAmhOhG27R7sIFW+C+xmwYiiwvd1NFAAAAAND8CN1wOb/6eg3J/VRGg+1Wk0nlkZFuqQkAAAAAnIHQDZcKqKvTjL+tVdyJY/os6T5Zf3iH22oyadukKaoKC3dvgQAAAADQjJhIDS7TuqZaM9evUVTpOa2blaZT3XrokwcfVmR5ucojIwncAAAAAFocQjdcIqyiQrPXrlJwTbVWPfkrfdOxkySpKiycsA0AAACgxSJ0w2lCKysUWV4mGdIjmzfKMJn1xrxfq7xde3eXBgAAAAAuQeiGUzRcg7sqNFQrf/VrXQ4Nc3dpAAAAAOAyTKSGZtfYGtxtL1+WyWg4XzkAAAAAtGw86cYtuzZ8vDyynarCwmW2WNTz2FElf7z7Z9fg5v1tAAAAAL6E0I1b8tPh41aTSUU9e6njN98orKpSX98ZI0PfP+G+hjW4AQAAAPgiQjduWsPh42bDUO+ioyqIT9Cn9yerJKajQyhnDW4AAAAAvojQjZ/VcPh4aGWlehUd0T0H9jsMHzdJyk8crJKYjpKk/MQknegR55Y1uB97I9dl1wIAeD5n/13whL87nlBDU9yozg3zhtzW8U05R0txu79LAK5D6EajGs4+XhEWrjsqK2Qxm3WmU+cmDR9nDW4AAAAAvo7QDQe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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "distro_visualizer = UsersWithMetricsVisualizer(inefficient_users_vram_hours)\n", + "distro_visualizer.visualize_metric_distribution(\n", + " output_dir_path=USERS_VISUALIZATION_DATA_DIR, column=\"vram_hours\", figsize=(10, 6)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "22", + "metadata": {}, + "source": [ + "### [PI Group Metrics](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "23", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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pi_accountjob_countpi_acc_job_hoursuser_countpi_acc_vram_hoursavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_count
0account_19515731825.26666735.029849e+06<NA><NA>0.00.03.999101
1account_2559775.58222213.353134e+04<NA><NA>0.00.04.971382
2account_1601116.42444412.090100e+02<NA><NA>0.0<NA>1.000000
3account_245863.04944421.302067e+03<NA><NA>0.0<NA>1.811619
4account_2171673.56416724.501805e+03<NA><NA>0.00.01.000000
.................................
281account_233498.69888916.018791e+03<NA><NA>0.0<NA>4.000000
282account_0420.6515.200000e+01<NA><NA>0.00.01.000000
283account_2781311.86833337.423100e+02<NA><NA>0.00.03.027275
284account_301132771.99555635.505221e+04<NA><NA>0.00.01.006600
285account_4766566.82833317.355929e+04<NA><NA>0.00.02.290410
\n", + "

286 rows × 10 columns

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" + ], + "text/plain": [ + " pi_account job_count pi_acc_job_hours user_count pi_acc_vram_hours \\\n", + "0 account_195 157 31825.266667 3 5.029849e+06 \n", + "1 account_25 59 775.582222 1 3.353134e+04 \n", + "2 account_160 11 16.424444 1 2.090100e+02 \n", + "3 account_245 8 63.049444 2 1.302067e+03 \n", + "4 account_217 16 73.564167 2 4.501805e+03 \n", + ".. ... ... ... ... ... \n", + "281 account_233 4 98.698889 1 6.018791e+03 \n", + "282 account_04 2 0.65 1 5.200000e+01 \n", + "283 account_278 13 11.868333 3 7.423100e+02 \n", + "284 account_301 132 771.995556 3 5.505221e+04 \n", + "285 account_47 66 566.828333 1 7.355929e+04 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "0 \n", + "1 \n", + "2 \n", + "3 \n", + "4 \n", + ".. ... ... \n", + "281 \n", + "282 \n", + "283 \n", + "284 \n", + "285 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 \n", + ".. ... \n", + "281 0.0 \n", + "282 0.0 \n", + "283 0.0 \n", + "284 0.0 \n", + "285 0.0 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \n", + "0 0.0 3.999101 \n", + "1 0.0 4.971382 \n", + "2 1.000000 \n", + "3 1.811619 \n", + "4 0.0 1.000000 \n", + ".. ... ... \n", + "281 4.000000 \n", + "282 0.0 1.000000 \n", + "283 0.0 3.027275 \n", + "284 0.0 1.006600 \n", + "285 0.0 2.290410 \n", + "\n", + "[286 rows x 10 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pi_accounts_with_metrics" + ] + }, + { + "cell_type": "markdown", + "id": "24", + "metadata": {}, + "source": [ + "#### [Find Inefficient PIs based on `vram_hours`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Top inefficient PI Groups by VRAM-Hours:\n" + ] + }, + { + "data": { + "text/html": [ + "
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pi_accountjob_countpi_acc_job_hoursuser_countpi_acc_vram_hoursavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_count
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0account_19515731825.26666735.029849e+06<NA><NA>0.00.03.999101
257account_2653949896.42888962.804868e+06<NA><NA>0.0<NA>40.496052
140account_134449093312.96111162.461069e+06<NA><NA>0.0<NA>5.160440
104account_272537346900.354444112.245922e+06<NA><NA>0.00.05.606529
204account_98115239166749.467512.166964e+06<NA><NA>0.00.01.000000
181account_113603013.76194461.958376e+06<NA><NA>0.00.063.016433
231account_94110949827.53222251.569815e+06<NA><NA>0.00.03.258149
178account_50303715999.991111231.525129e+06<NA><NA>0.00.03.229896
38account_1716710454.79888941.265637e+06<NA><NA>0.00.05.169539
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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_pis_vram_hours = efficiency_analysis.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=MetricsDataFrameNameEnum.PI_GROUPS,\n", + " sorting_key=\"pi_acc_vram_hours\",\n", + " ascending=False,\n", + " filter_criteria={\n", + " \"pi_acc_vram_hours\": {\"min\": 200, \"inclusive\": True}, # VRAM-hours threshold for identifying inefficient users\n", + " \"job_count\": {\"min\": 5, \"inclusive\": True}, # Minimum number of jobs to consider a PI account\n", + " },\n", + ")\n", + "# Display top inefficient users by VRAM-hours\n", + "print(\"\\nTop inefficient PI Groups by VRAM-Hours:\")\n", + "display(inefficient_pis_vram_hours.head(10))\n", + "\n", + "# Plot top inefficient PI Groups by VRAM-hours, with VRAM-hours as labels\n", + "pi_accounts_with_metrics_visualizer = PIGroupsWithMetricsVisualizer(inefficient_pis_vram_hours.head(10))\n", + "pi_accounts_with_metrics_visualizer.visualize(\n", + " column=\"pi_acc_vram_hours\", bar_label_columns=[\"pi_acc_vram_hours\", \"pi_acc_job_hours\"], figsize=(10, 6)\n", + ")" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/analysis/Requested and Used VRAM.ipynb b/notebooks/analysis/Requested and Used VRAM.ipynb new file mode 100644 index 0000000..0308eee --- /dev/null +++ b/notebooks/analysis/Requested and Used VRAM.ipynb @@ -0,0 +1,2741 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# [Analysis of GPU Jobs that Requested and Used VRAM](#toc0_)\n", + "This notebook generates the analysis for jobs that requested some VRAM and run on partitions that their type is GPU and some GPU VRAM is used. It looks at these jobs, corresponding users, and PI groups." + ] + }, + { + "cell_type": "markdown", + "id": "1", + "metadata": {}, + "source": [ + "**Table of contents** \n", + "- [Analysis of GPU Jobs that Requested and Used VRAM](#toc1_) \n", + " - [Setup](#toc1_1_) \n", + " - [Data Digestion and Preprocessing](#toc1_2_) \n", + " - [Narrowing Dataset Down to the Relevant Partition](#toc1_3_) \n", + " - [Generate Baseline Metrics](#toc1_4_) \n", + " - [Job-Level Analysis](#toc1_5_) \n", + " - [Find most inefficient jobs with no VRAM constraints based on `requested_vram_efficiency_score`](#toc1_5_1_1_) \n", + " - [Generate all hoarding analysis metrics for jobs:](#toc1_5_2_) \n", + " - [Find most inefficient jobs hoarding node RAM based on `ram_hoarding_fraction_diff`](#toc1_5_2_1_) \n", + " - [Find most inefficient jobs hoarding CPU cores based on `core_hoarding_fraction_diff`](#toc1_5_2_2_) \n", + " - [User-Level Analysis](#toc1_6_) \n", + " - [Find Inefficient Users based on `avg_requested_vram_efficiency_score`](#toc1_6_1_) \n", + " - [Find Inefficient Users based on EV(alloc_vram_efficiency)](#toc1_6_2_) \n", + " - [Generate all hoarding analysis metrics for users:](#toc1_6_3_) \n", + " - [Find most inefficient users hoarding node RAM based on `expected_value_ram_hoarding_fraction_diff`](#toc1_6_3_1_) \n", + " - [Find most inefficient users hoarding CPU cores based on `expected_value_core_hoarding_fraction_diff`](#toc1_6_3_2_) \n", + " - [PI Group Analysis](#toc1_7_) \n", + " - [Find Inefficient PIs based on `avg_requested_vram_efficiency_score`](#toc1_7_1_1_) \n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "## [Setup](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": {}, + "outputs": [], + "source": [ + "# Import required modules\n", + "import sys\n", + "from pathlib import Path\n", + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "id": "4", + "metadata": {}, + "source": [ + "Jupyter server should be run at the notebook directory, so the output of the following cell would be the project root:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Project root: ds4cg-job-analytics\n" + ] + } + ], + "source": [ + "project_root = Path.cwd().resolve().parent.parent\n", + "print(f\"Project root: {project_root.name}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6", + "metadata": {}, + "outputs": [], + "source": [ + "# Automatically reload modules before executing code (set this up BEFORE imports)\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "# Add project root to sys.path for module imports\n", + "if str(project_root) not in sys.path:\n", + " sys.path.insert(0, str(project_root))\n", + "\n", + "from src.analysis import ResourceHoarding\n", + "from src.visualization import (\n", + " JobsWithMetricsVisualizer,\n", + " UsersWithMetricsVisualizer,\n", + " PIGroupsWithMetricsVisualizer,\n", + ")\n", + "from src.config.enum_constants import ResourceHoardingDataFrameNameEnum\n", + "from src.config.paths import (\n", + " JOBS_VISUALIZATION_DATA_DIR,\n", + " USERS_VISUALIZATION_DATA_DIR,\n", + " PI_GROUPS_VISUALIZATION_DATA_DIR,\n", + ")\n", + "from src.utilities import load_and_preprocess_jobs" + ] + }, + { + "cell_type": "markdown", + "id": "7", + "metadata": {}, + "source": [ + "## [Data Digestion and Preprocessing](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connected to slurm_data.db\n", + "[Preprocessing] Running with new database format: GPU types as dictionary.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "UserWarning: 6545 duplicate JobIDs detected. Keeping only the latest entry for each JobID.\n", + " processed_data = Preprocess().preprocess_data(jobs_df, apply_filter=False, anonymize=anonymize)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 42 records with errors. Reporting them to a summary file preprocessing_errors.log.\n", + "Disconnected from slurm_data.db\n" + ] + }, + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOS...GPUTypeGPUMemUsageGPUComputeUsageCPUMemUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vram
35499241012953<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0176635904.099.9500120 days 00:35:4711<NA>1111
35499141012951<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0172380160.099.9647670 days 00:36:0211<NA>1111
35499041012949<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0171646976.099.9705050 days 00:37:2011<NA>1111
35498941012881<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0171102208.099.9456180 days 00:36:5611<NA>1111
35498841012877<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0171216896.099.9637300 days 00:36:4811<NA>1111
35498741012873<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0184594432.099.9529880 days 00:33:0311<NA>1111
35498641012869<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0160063488.099.9635930 days 00:34:0711<NA>1111
35498541012867<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0171073536.099.9226150 days 00:32:4611<NA>1111
35498441012866<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0172363776.099.9595110 days 00:32:1911<NA>1111
35498341012864<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.00.0173252608.099.9210660 days 00:33:0011<NA>1111
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10 rows × 31 columns

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" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName IsArray Interactive \\\n", + "354992 41012953 -1 job.sh False non-interactive \n", + "354991 41012951 -1 job.sh False non-interactive \n", + "354990 41012949 -1 job.sh False non-interactive \n", + "354989 41012881 -1 job.sh False non-interactive \n", + "354988 41012877 -1 job.sh False non-interactive \n", + "354987 41012873 -1 job.sh False non-interactive \n", + "354986 41012869 -1 job.sh False non-interactive \n", + "354985 41012867 -1 job.sh False non-interactive \n", + "354984 41012866 -1 job.sh False non-interactive \n", + "354983 41012864 -1 job.sh False non-interactive \n", + "\n", + " Account User Constraints QOS ... GPUType \\\n", + "354992 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "354991 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "354990 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "354989 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "354988 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "354987 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "354986 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "354985 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "354984 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "354983 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "\n", + " GPUMemUsage GPUComputeUsage CPUMemUsage CPUComputeUsage \\\n", + "354992 0.0 0.0 176635904.0 99.950012 \n", + "354991 0.0 0.0 172380160.0 99.964767 \n", + "354990 0.0 0.0 171646976.0 99.970505 \n", + "354989 0.0 0.0 171102208.0 99.945618 \n", + "354988 0.0 0.0 171216896.0 99.963730 \n", + "354987 0.0 0.0 184594432.0 99.952988 \n", + "354986 0.0 0.0 160063488.0 99.963593 \n", + "354985 0.0 0.0 171073536.0 99.922615 \n", + "354984 0.0 0.0 172363776.0 99.959511 \n", + "354983 0.0 0.0 173252608.0 99.921066 \n", + "\n", + " Queued vram_constraint partition_constraint requested_vram \\\n", + "354992 0 days 00:35:47 11 11 \n", + "354991 0 days 00:36:02 11 11 \n", + "354990 0 days 00:37:20 11 11 \n", + "354989 0 days 00:36:56 11 11 \n", + "354988 0 days 00:36:48 11 11 \n", + "354987 0 days 00:33:03 11 11 \n", + "354986 0 days 00:34:07 11 11 \n", + "354985 0 days 00:32:46 11 11 \n", + "354984 0 days 00:32:19 11 11 \n", + "354983 0 days 00:33:00 11 11 \n", + "\n", + " allocated_vram \n", + "354992 11 \n", + "354991 11 \n", + "354990 11 \n", + "354989 11 \n", + "354988 11 \n", + "354987 11 \n", + "354986 11 \n", + "354985 11 \n", + "354984 11 \n", + "354983 11 \n", + "\n", + "[10 rows x 31 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(660508, 31)\n" + ] + } + ], + "source": [ + "# Load the jobs DataFrame from DuckDB\n", + "preprocessed_jobs_df = load_and_preprocess_jobs(\n", + " db_path=Path(project_root) / \"data/slurm_data.db\",\n", + " table_name=\"Jobs\",\n", + " anonymize=True,\n", + ")\n", + "display(preprocessed_jobs_df.head(10))\n", + "print(preprocessed_jobs_df.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "9", + "metadata": {}, + "source": [ + "## [Narrowing Dataset Down to the Relevant Partition](#toc0_)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "10", + "metadata": {}, + "outputs": [], + "source": [ + "analyzer = ResourceHoarding(jobs_df=preprocessed_jobs_df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "11", + "metadata": {}, + "outputs": [], + "source": [ + "filtered_jobs = analyzer.filter_jobs_for_analysis(\n", + " gpu_mem_usage_filter={\"min\": 0, \"inclusive\": False}, requested_vram_filter={\"min\": 0, \"inclusive\": False}\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "12", + "metadata": {}, + "source": [ + "## [Generate Baseline Metrics](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "13", + "metadata": {}, + "outputs": [], + "source": [ + "metrics_dict = analyzer.calculate_all_efficiency_metrics(filtered_jobs)\n", + "\n", + "jobs_with_metrics = metrics_dict[\"jobs_with_efficiency_metrics\"]\n", + "users_with_metrics = metrics_dict[\"users_with_efficiency_metrics\"]\n", + "pi_accounts_with_metrics = metrics_dict[\"pi_accounts_with_efficiency_metrics\"]" + ] + }, + { + "cell_type": "markdown", + "id": "14", + "metadata": {}, + "source": [ + "## [Job-Level Analysis](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "15", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOSStatusExitCodeSubmitTimeStartTimeElapsedTimeLimitPartitionNodeListgpu_countGPUTypeGPUMemUsageGPUComputeUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vramjob_hoursvram_hoursused_vram_giballoc_vram_efficiencyrequested_vram_efficiencyalloc_vram_efficiency_scorerequested_vram_efficiency_scoreused_cpu_mem_giballocated_cpu_mem_gibcpu_mem_efficiencycpu_core_count
35491041012486<NA>-1interactiveFalseshellaccount_177user_211['sm_80', 'vram80']shortCOMPLETEDSUCCESS2025-08-13 05:48:442025-08-13 05:48:450 days 00:31:510 days 01:00:00gpu[uri-gpu009]1{'h100': 1}2.090231e+1095.03.8479680 days 00:00:0180<NA>80800.53083342.46666719.4667970.2433350.243335-60.018834-60.01883423.69865040.00.59246612
35485041011725<NA>-1train_eval_gsm8k_Llama70b_assess-512_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.501327e+1097.023.8002680 days 00:00:1848<NA>48483.003611144.17333341.9218750.8733720.873372-19.520095-19.52009529.96966230.00.9989892
35484941011724<NA>-1train_eval_gsm8k_Llama70b_assess-512_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.504682e+1097.023.7478960 days 00:00:1848<NA>48483.003611144.17333341.9531250.8740230.874023-19.412664-19.41266429.96971530.00.9989912
35484841011723<NA>-1train_eval_gsm8k_Llama70b_assess-256_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.642256e+1097.021.2568860 days 00:00:1848<NA>48483.003611144.17333343.2343750.9007160.900716-15.075501-15.07550129.96989430.00.9989962
35484741011722<NA>-1train_eval_gsm8k_Llama70b_assess-256_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.457916e+1097.021.2345010 days 00:00:1848<NA>48483.003611144.17333341.5175780.8649500.86495-20.917259-20.91725929.96987930.00.9989962
\n", + "
" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID \\\n", + "354910 41012486 -1 \n", + "354850 41011725 -1 \n", + "354849 41011724 -1 \n", + "354848 41011723 -1 \n", + "354847 41011722 -1 \n", + "\n", + " JobName IsArray \\\n", + "354910 interactive False \n", + "354850 train_eval_gsm8k_Llama70b_assess-512_assess_sft False \n", + "354849 train_eval_gsm8k_Llama70b_assess-512_assess_sft False \n", + "354848 train_eval_gsm8k_Llama70b_assess-256_assess_sft False \n", + "354847 train_eval_gsm8k_Llama70b_assess-256_assess_sft False \n", + "\n", + " Interactive Account User Constraints QOS \\\n", + "354910 shell account_177 user_211 ['sm_80', 'vram80'] short \n", + "354850 non-interactive account_177 user_437 ['l40s'] normal \n", + "354849 non-interactive account_177 user_437 ['l40s'] normal \n", + "354848 non-interactive account_177 user_437 ['l40s'] normal \n", + "354847 non-interactive account_177 user_437 ['l40s'] normal \n", + "\n", + " Status ExitCode SubmitTime StartTime \\\n", + "354910 COMPLETED SUCCESS 2025-08-13 05:48:44 2025-08-13 05:48:45 \n", + "354850 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "354849 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "354848 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "354847 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "\n", + " Elapsed TimeLimit Partition NodeList gpu_count \\\n", + "354910 0 days 00:31:51 0 days 01:00:00 gpu [uri-gpu009] 1 \n", + "354850 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] 1 \n", + "354849 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] 1 \n", + "354848 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] 1 \n", + "354847 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] 1 \n", + "\n", + " GPUType GPUMemUsage GPUComputeUsage CPUComputeUsage \\\n", + "354910 {'h100': 1} 2.090231e+10 95.0 3.847968 \n", + "354850 {'l40s': 1} 4.501327e+10 97.0 23.800268 \n", + "354849 {'l40s': 1} 4.504682e+10 97.0 23.747896 \n", + "354848 {'l40s': 1} 4.642256e+10 97.0 21.256886 \n", + "354847 {'l40s': 1} 4.457916e+10 97.0 21.234501 \n", + "\n", + " Queued vram_constraint partition_constraint requested_vram \\\n", + "354910 0 days 00:00:01 80 80 \n", + "354850 0 days 00:00:18 48 48 \n", + "354849 0 days 00:00:18 48 48 \n", + "354848 0 days 00:00:18 48 48 \n", + "354847 0 days 00:00:18 48 48 \n", + "\n", + " allocated_vram job_hours vram_hours used_vram_gib \\\n", + "354910 80 0.530833 42.466667 19.466797 \n", + "354850 48 3.003611 144.173333 41.921875 \n", + "354849 48 3.003611 144.173333 41.953125 \n", + "354848 48 3.003611 144.173333 43.234375 \n", + "354847 48 3.003611 144.173333 41.517578 \n", + "\n", + " alloc_vram_efficiency requested_vram_efficiency \\\n", + "354910 0.243335 0.243335 \n", + "354850 0.873372 0.873372 \n", + "354849 0.874023 0.874023 \n", + "354848 0.900716 0.900716 \n", + "354847 0.864950 0.86495 \n", + "\n", + " alloc_vram_efficiency_score requested_vram_efficiency_score \\\n", + "354910 -60.018834 -60.018834 \n", + "354850 -19.520095 -19.520095 \n", + "354849 -19.412664 -19.412664 \n", + "354848 -15.075501 -15.075501 \n", + "354847 -20.917259 -20.917259 \n", + "\n", + " used_cpu_mem_gib allocated_cpu_mem_gib cpu_mem_efficiency \\\n", + "354910 23.698650 40.0 0.592466 \n", + "354850 29.969662 30.0 0.998989 \n", + "354849 29.969715 30.0 0.998991 \n", + "354848 29.969894 30.0 0.998996 \n", + "354847 29.969879 30.0 0.998996 \n", + "\n", + " cpu_core_count \n", + "354910 12 \n", + "354850 2 \n", + "354849 2 \n", + "354848 2 \n", + "354847 2 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jobs found: 326050\n" + ] + } + ], + "source": [ + "# Set option to display all columns\n", + "pd.set_option(\"display.max_columns\", None)\n", + "# Display the DataFrame\n", + "display(jobs_with_metrics.head(5))\n", + "# To revert to default settings (optional)\n", + "pd.reset_option(\"display.max_columns\")\n", + "\n", + "print(f\"Jobs found: {len(jobs_with_metrics)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "16", + "metadata": {}, + "source": [ + "#### [Find most inefficient jobs with no VRAM constraints based on `requested_vram_efficiency_score`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "17", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Minimum value for requested_vram_efficiency_score: -13304988.074955102\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_jobs_req_vram_score = analyzer.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=ResourceHoardingDataFrameNameEnum.JOBS,\n", + " sorting_key=\"requested_vram_efficiency_score\",\n", + " ascending=True, # Sort by requested_vram_efficiency_score in ascending order\n", + " filter_criteria={\n", + " \"alloc_vram_efficiency_score\": {\"max\": -10, \"inclusive\": True}, # score threshold\n", + " },\n", + ")\n", + "# Plot top inefficient jobs by requested VRAM efficiency score, with VRAM-hours as labels\n", + "jobs_with_metrics_visualizer = JobsWithMetricsVisualizer(inefficient_jobs_req_vram_score.head(10))\n", + "jobs_with_metrics_visualizer.visualize(\n", + " output_dir_path=JOBS_VISUALIZATION_DATA_DIR,\n", + " column=\"requested_vram_efficiency_score\",\n", + " bar_label_columns=[\"vram_hours\", \"allocated_vram\"],\n", + " figsize=(10, 6),\n", + " anonymize=True,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "18", + "metadata": {}, + "source": [ + "### [Generate all hoarding analysis metrics for jobs:](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "19", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOSStatusExitCodeSubmitTimeStartTimeElapsedTimeLimitPartitionNodeListgpu_countGPUTypeGPUMemUsageGPUComputeUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vramjob_hoursvram_hoursused_vram_giballoc_vram_efficiencyrequested_vram_efficiencyalloc_vram_efficiency_scorerequested_vram_efficiency_scoreused_cpu_mem_giballocated_cpu_mem_gibcpu_mem_efficiencycpu_core_counttotal_ram_of_nodes_gibtotal_gpu_count_of_nodesgpu_count_fractionallocated_ram_fractionram_hoarding_fraction_difftotal_cores_of_nodesallocated_cores_fractioncore_hoarding_fraction_diff
35491041012486<NA>-1interactiveFalseshellaccount_177user_211['sm_80', 'vram80']shortCOMPLETEDSUCCESS2025-08-13 05:48:442025-08-13 05:48:450 days 00:31:510 days 01:00:00gpu[uri-gpu009]1{'h100': 1}2.090231e+1095.03.8479680 days 00:00:0180<NA>80800.53083342.46666719.4667970.2433350.243335-60.018834-60.01883423.69865040.00.59246612100040.250.04-0.21640.1875-0.0625
35485041011725<NA>-1train_eval_gsm8k_Llama70b_assess-512_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.501327e+1097.023.8002680 days 00:00:1848<NA>48483.003611144.17333341.9218750.8733720.873372-19.520095-19.52009529.96966230.00.998989250040.250.06-0.19320.0625-0.1875
35484941011724<NA>-1train_eval_gsm8k_Llama70b_assess-512_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.504682e+1097.023.7478960 days 00:00:1848<NA>48483.003611144.17333341.9531250.8740230.874023-19.412664-19.41266429.96971530.00.998991250040.250.06-0.19320.0625-0.1875
35484841011723<NA>-1train_eval_gsm8k_Llama70b_assess-256_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.642256e+1097.021.2568860 days 00:00:1848<NA>48483.003611144.17333343.2343750.9007160.900716-15.075501-15.07550129.96989430.00.998996250040.250.06-0.19320.0625-0.1875
35484741011722<NA>-1train_eval_gsm8k_Llama70b_assess-256_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.457916e+1097.021.2345010 days 00:00:1848<NA>48483.003611144.17333341.5175780.8649500.86495-20.917259-20.91725929.96987930.00.998996250040.250.06-0.19320.0625-0.1875
\n", + "
" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID \\\n", + "354910 41012486 -1 \n", + "354850 41011725 -1 \n", + "354849 41011724 -1 \n", + "354848 41011723 -1 \n", + "354847 41011722 -1 \n", + "\n", + " JobName IsArray \\\n", + "354910 interactive False \n", + "354850 train_eval_gsm8k_Llama70b_assess-512_assess_sft False \n", + "354849 train_eval_gsm8k_Llama70b_assess-512_assess_sft False \n", + "354848 train_eval_gsm8k_Llama70b_assess-256_assess_sft False \n", + "354847 train_eval_gsm8k_Llama70b_assess-256_assess_sft False \n", + "\n", + " Interactive Account User Constraints QOS \\\n", + "354910 shell account_177 user_211 ['sm_80', 'vram80'] short \n", + "354850 non-interactive account_177 user_437 ['l40s'] normal \n", + "354849 non-interactive account_177 user_437 ['l40s'] normal \n", + "354848 non-interactive account_177 user_437 ['l40s'] normal \n", + "354847 non-interactive account_177 user_437 ['l40s'] normal \n", + "\n", + " Status ExitCode SubmitTime StartTime \\\n", + "354910 COMPLETED SUCCESS 2025-08-13 05:48:44 2025-08-13 05:48:45 \n", + "354850 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "354849 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "354848 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "354847 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "\n", + " Elapsed TimeLimit Partition NodeList gpu_count \\\n", + "354910 0 days 00:31:51 0 days 01:00:00 gpu [uri-gpu009] 1 \n", + "354850 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] 1 \n", + "354849 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] 1 \n", + "354848 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] 1 \n", + "354847 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] 1 \n", + "\n", + " GPUType GPUMemUsage GPUComputeUsage CPUComputeUsage \\\n", + "354910 {'h100': 1} 2.090231e+10 95.0 3.847968 \n", + "354850 {'l40s': 1} 4.501327e+10 97.0 23.800268 \n", + "354849 {'l40s': 1} 4.504682e+10 97.0 23.747896 \n", + "354848 {'l40s': 1} 4.642256e+10 97.0 21.256886 \n", + "354847 {'l40s': 1} 4.457916e+10 97.0 21.234501 \n", + "\n", + " Queued vram_constraint partition_constraint requested_vram \\\n", + "354910 0 days 00:00:01 80 80 \n", + "354850 0 days 00:00:18 48 48 \n", + "354849 0 days 00:00:18 48 48 \n", + "354848 0 days 00:00:18 48 48 \n", + "354847 0 days 00:00:18 48 48 \n", + "\n", + " allocated_vram job_hours vram_hours used_vram_gib \\\n", + "354910 80 0.530833 42.466667 19.466797 \n", + "354850 48 3.003611 144.173333 41.921875 \n", + "354849 48 3.003611 144.173333 41.953125 \n", + "354848 48 3.003611 144.173333 43.234375 \n", + "354847 48 3.003611 144.173333 41.517578 \n", + "\n", + " alloc_vram_efficiency requested_vram_efficiency \\\n", + "354910 0.243335 0.243335 \n", + "354850 0.873372 0.873372 \n", + "354849 0.874023 0.874023 \n", + "354848 0.900716 0.900716 \n", + "354847 0.864950 0.86495 \n", + "\n", + " alloc_vram_efficiency_score requested_vram_efficiency_score \\\n", + "354910 -60.018834 -60.018834 \n", + "354850 -19.520095 -19.520095 \n", + "354849 -19.412664 -19.412664 \n", + "354848 -15.075501 -15.075501 \n", + "354847 -20.917259 -20.917259 \n", + "\n", + " used_cpu_mem_gib allocated_cpu_mem_gib cpu_mem_efficiency \\\n", + "354910 23.698650 40.0 0.592466 \n", + "354850 29.969662 30.0 0.998989 \n", + "354849 29.969715 30.0 0.998991 \n", + "354848 29.969894 30.0 0.998996 \n", + "354847 29.969879 30.0 0.998996 \n", + "\n", + " cpu_core_count total_ram_of_nodes_gib total_gpu_count_of_nodes \\\n", + "354910 12 1000 4 \n", + "354850 2 500 4 \n", + "354849 2 500 4 \n", + "354848 2 500 4 \n", + "354847 2 500 4 \n", + "\n", + " gpu_count_fraction allocated_ram_fraction \\\n", + "354910 0.25 0.04 \n", + "354850 0.25 0.06 \n", + "354849 0.25 0.06 \n", + "354848 0.25 0.06 \n", + "354847 0.25 0.06 \n", + "\n", + " ram_hoarding_fraction_diff total_cores_of_nodes \\\n", + "354910 -0.21 64 \n", + "354850 -0.19 32 \n", + "354849 -0.19 32 \n", + "354848 -0.19 32 \n", + "354847 -0.19 32 \n", + "\n", + " allocated_cores_fraction core_hoarding_fraction_diff \n", + "354910 0.1875 -0.0625 \n", + "354850 0.0625 -0.1875 \n", + "354849 0.0625 -0.1875 \n", + "354848 0.0625 -0.1875 \n", + "354847 0.0625 -0.1875 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jobs found: 326050\n" + ] + } + ], + "source": [ + "memory_hoarding_jobs = analyzer.calculate_node_resource_hoarding_for_jobs(filtered_jobs)\n", + "\n", + "# Set option to display all columns\n", + "pd.set_option(\"display.max_columns\", None)\n", + "# Display the DataFrame\n", + "display(memory_hoarding_jobs.head(5))\n", + "# To revert to default settings (optional)\n", + "pd.reset_option(\"display.max_columns\")\n", + "\n", + "print(f\"Jobs found: {len(memory_hoarding_jobs)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "20", + "metadata": {}, + "source": [ + "#### [Find most inefficient jobs hoarding node RAM based on `ram_hoarding_fraction_diff`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "21", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_jobs_hoarding_ram = analyzer.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=ResourceHoardingDataFrameNameEnum.JOBS_WITH_RESOURCE_HOARDING_METRICS,\n", + " sorting_key=\"ram_hoarding_fraction_diff\",\n", + " ascending=False, # Sort in descending order\n", + " filter_criteria={\"ram_hoarding_fraction_diff\": {\"min\": 0, \"inclusive\": True}},\n", + ")\n", + "# Plot top inefficient jobs by RAM hoarding fraction, with RAM hoarding fraction as labels\n", + "jobs_with_metrics_visualizer = JobsWithMetricsVisualizer(inefficient_jobs_hoarding_ram.head(10))\n", + "jobs_with_metrics_visualizer.visualize(\n", + " column=\"ram_hoarding_fraction_diff\",\n", + " bar_label_columns=[\"cpu_mem_efficiency\", \"alloc_vram_efficiency\"],\n", + " figsize=(10, 6),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "22", + "metadata": {}, + "source": [ + "#### [Find most inefficient jobs hoarding CPU cores based on `core_hoarding_fraction_diff`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "23", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_jobs_hoarding_cpu_cores = analyzer.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=ResourceHoardingDataFrameNameEnum.JOBS_WITH_RESOURCE_HOARDING_METRICS,\n", + " sorting_key=\"core_hoarding_fraction_diff\",\n", + " ascending=False, # Sort in descending order\n", + " filter_criteria={\n", + " \"core_hoarding_fraction_diff\": {\"min\": 0, \"inclusive\": True},\n", + " },\n", + ")\n", + "\n", + "# Plot top inefficient jobs by CPU core hoarding fraction, with CPU core hoarding fraction as labels\n", + "jobs_with_metrics_visualizer = JobsWithMetricsVisualizer(inefficient_jobs_hoarding_cpu_cores.head(10))\n", + "jobs_with_metrics_visualizer.visualize(\n", + " column=\"core_hoarding_fraction_diff\",\n", + " bar_label_columns=[\"ram_hoarding_fraction_diff\", \"alloc_vram_efficiency\"],\n", + " figsize=(10, 6),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "24", + "metadata": {}, + "source": [ + "## [User-Level Analysis](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Userjob_countuser_job_hourspi_accountavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_countvram_hours
0user_013122013.829722account_288-376.436134-442.506960.4355770.3732031.31690793344.522222
1user_02701561.586389account_252-1725.032831-1674.6129620.3879950.3953041.41274583753.096944
2user_032303403.453889account_05-6831.720945-6835.9665560.213330.2131163.604804749146.912222
3user_04316553.818889account_125-36.18073-36.2688110.7793490.7790091.01441444560.546667
4user_052622910.031944account_111-994.735622-984.3029980.4863160.4904941.617360249461.198333
.................................
603user_9907733258.378333account_50-75.769932-51.6261910.8927471.0525121.000000147719.920278
604user_99127792711.629722account_272-13.756767-13.7567670.4189410.4189411.00000029827.926944
605user_99526.074444account_111-257.59135-320.2492210.2064670.1371641.000000322.408889
606user_99663.301111account_27-126.160798-117.0508650.0097060.0130951.000000161.798333
607user_9973361686.572222account_116-374.154363-377.967480.5830450.5807131.054270130653.915833
\n", + "

608 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " User job_count user_job_hours pi_account \\\n", + "0 user_01 312 2013.829722 account_288 \n", + "1 user_02 70 1561.586389 account_252 \n", + "2 user_03 230 3403.453889 account_05 \n", + "3 user_04 316 553.818889 account_125 \n", + "4 user_05 262 2910.031944 account_111 \n", + ".. ... ... ... ... \n", + "603 user_990 773 3258.378333 account_50 \n", + "604 user_991 2779 2711.629722 account_272 \n", + "605 user_995 2 6.074444 account_111 \n", + "606 user_996 6 3.301111 account_27 \n", + "607 user_997 336 1686.572222 account_116 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "0 -376.436134 -442.50696 \n", + "1 -1725.032831 -1674.612962 \n", + "2 -6831.720945 -6835.966556 \n", + "3 -36.18073 -36.268811 \n", + "4 -994.735622 -984.302998 \n", + ".. ... ... \n", + "603 -75.769932 -51.626191 \n", + "604 -13.756767 -13.756767 \n", + "605 -257.59135 -320.249221 \n", + "606 -126.160798 -117.050865 \n", + "607 -374.154363 -377.96748 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "0 0.435577 \n", + "1 0.387995 \n", + "2 0.21333 \n", + "3 0.779349 \n", + "4 0.486316 \n", + ".. ... \n", + "603 0.892747 \n", + "604 0.418941 \n", + "605 0.206467 \n", + "606 0.009706 \n", + "607 0.583045 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \\\n", + "0 0.373203 1.316907 \n", + "1 0.395304 1.412745 \n", + "2 0.213116 3.604804 \n", + "3 0.779009 1.014414 \n", + "4 0.490494 1.617360 \n", + ".. ... ... \n", + "603 1.052512 1.000000 \n", + "604 0.418941 1.000000 \n", + "605 0.137164 1.000000 \n", + "606 0.013095 1.000000 \n", + "607 0.580713 1.054270 \n", + "\n", + " vram_hours \n", + "0 93344.522222 \n", + "1 83753.096944 \n", + "2 749146.912222 \n", + "3 44560.546667 \n", + "4 249461.198333 \n", + ".. ... \n", + "603 147719.920278 \n", + "604 29827.926944 \n", + "605 322.408889 \n", + "606 161.798333 \n", + "607 130653.915833 \n", + "\n", + "[608 rows x 10 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users_with_metrics" + ] + }, + { + "cell_type": "markdown", + "id": "26", + "metadata": {}, + "source": [ + "### [Find Inefficient Users based on `avg_requested_vram_efficiency_score`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "27", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Minimum value for avg_requested_vram_efficiency_score: -264001.8796252523\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_users_avg_req_vram_eff_score = analyzer.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=ResourceHoardingDataFrameNameEnum.USERS,\n", + " sorting_key=\"avg_requested_vram_efficiency_score\",\n", + " ascending=True, # Sort by avg_requested_vram_efficiency_score in ascending order\n", + " filter_criteria={\n", + " \"avg_requested_vram_efficiency_score\": {\"max\": -10, \"inclusive\": True}, # score threshold\n", + " \"job_count\": {\"min\": 15, \"inclusive\": True}, # minimum job count threshold\n", + " },\n", + ")\n", + "# Plot top inefficient users by Avg Requested VRAM Efficiency Score, with avg_requested_vram_efficiency_score as labels\n", + "users_with_metrics_visualizer = UsersWithMetricsVisualizer(inefficient_users_avg_req_vram_eff_score.head(10))\n", + "users_with_metrics_visualizer.visualize(\n", + " column=\"avg_requested_vram_efficiency_score\",\n", + " bar_label_columns=[\"vram_hours\", \"job_count\"],\n", + " figsize=(10, 6),\n", + " anonymize=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "28", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "users_with_metrics_visualizer = UsersWithMetricsVisualizer(inefficient_users_avg_req_vram_eff_score)\n", + "users_with_metrics_visualizer.visualize_metric_distribution(\n", + " output_dir_path=USERS_VISUALIZATION_DATA_DIR, column=\"avg_requested_vram_efficiency_score\", figsize=(8, 5)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "29", + "metadata": {}, + "source": [ + "### [Find Inefficient Users based on EV(alloc_vram_efficiency)](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_users_avg_req_vram_eff_score = analyzer.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=ResourceHoardingDataFrameNameEnum.USERS,\n", + " sorting_key=\"expected_value_requested_vram_efficiency\",\n", + " ascending=True, # Sort by expected_value_requested_vram_efficiency in ascending order\n", + " filter_criteria={\n", + " \"job_count\": {\"min\": 15, \"inclusive\": True}, # minimum job count threshold\n", + " },\n", + ")\n", + "# Plot top inefficient users by Expected Value Requested VRAM Efficiency\n", + "users_with_metrics_visualizer = UsersWithMetricsVisualizer(inefficient_users_avg_req_vram_eff_score.head(10))\n", + "users_with_metrics_visualizer.visualize(\n", + " column=\"expected_value_requested_vram_efficiency\",\n", + " bar_label_columns=[\"vram_hours\", \"job_count\"],\n", + " figsize=(10, 6),\n", + " anonymize=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "31", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_users_ev_req_vram_eff = analyzer.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=ResourceHoardingDataFrameNameEnum.USERS,\n", + " sorting_key=\"expected_value_requested_vram_efficiency\",\n", + " ascending=True, # Sort by expected_value_requested_vram_efficiency in ascending order\n", + " filter_criteria={\n", + " \"job_count\": {\"min\": 5, \"inclusive\": True}, # minimum job count threshold\n", + " },\n", + ")\n", + "users_with_metrics_ev_visualizer = UsersWithMetricsVisualizer(inefficient_users_ev_req_vram_eff)\n", + "users_with_metrics_ev_visualizer.visualize_metric_distribution(\n", + " output_dir_path=USERS_VISUALIZATION_DATA_DIR, column=\"expected_value_requested_vram_efficiency\", figsize=(8, 5)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "32", + "metadata": {}, + "source": [ + "### [Generate all hoarding analysis metrics for users:](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Userjob_countuser_job_hourspi_accountavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_countvram_hoursexpected_value_ram_hoarding_fraction_diffexpected_value_core_hoarding_fraction_diff
0user_013122013.829722account_288-376.436134-442.506960.4355770.3732031.31690793344.522222-0.186721-0.164887
1user_02701561.586389account_252-1725.032831-1674.6129620.3879950.3953041.41274583753.0969440.083562-0.074742
2user_032303403.453889account_05-6831.720945-6835.9665560.213330.2131163.604804749146.912222-0.560113-0.371193
3user_04316553.818889account_125-36.18073-36.2688110.7793490.7790091.01441444560.546667-0.094646-0.134397
4user_052622910.031944account_111-994.735622-984.3029980.4863160.4904941.617360249461.198333-0.092769-0.132713
.......................................
603user_9907733258.378333account_50-75.769932-51.6261910.8927471.0525121.000000147719.920278-0.003888-0.20525
604user_99127792711.629722account_272-13.756767-13.7567670.4189410.4189411.00000029827.9269440.020978-0.082384
605user_99526.074444account_111-257.59135-320.2492210.2064670.1371641.000000322.408889-0.019613-0.194199
606user_99663.301111account_27-126.160798-117.0508650.0097060.0130951.000000161.798333-0.140497-0.139495
607user_9973361686.572222account_116-374.154363-377.967480.5830450.5807131.054270130653.915833-0.117550.006767
\n", + "

608 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " User job_count user_job_hours pi_account \\\n", + "0 user_01 312 2013.829722 account_288 \n", + "1 user_02 70 1561.586389 account_252 \n", + "2 user_03 230 3403.453889 account_05 \n", + "3 user_04 316 553.818889 account_125 \n", + "4 user_05 262 2910.031944 account_111 \n", + ".. ... ... ... ... \n", + "603 user_990 773 3258.378333 account_50 \n", + "604 user_991 2779 2711.629722 account_272 \n", + "605 user_995 2 6.074444 account_111 \n", + "606 user_996 6 3.301111 account_27 \n", + "607 user_997 336 1686.572222 account_116 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "0 -376.436134 -442.50696 \n", + "1 -1725.032831 -1674.612962 \n", + "2 -6831.720945 -6835.966556 \n", + "3 -36.18073 -36.268811 \n", + "4 -994.735622 -984.302998 \n", + ".. ... ... \n", + "603 -75.769932 -51.626191 \n", + "604 -13.756767 -13.756767 \n", + "605 -257.59135 -320.249221 \n", + "606 -126.160798 -117.050865 \n", + "607 -374.154363 -377.96748 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "0 0.435577 \n", + "1 0.387995 \n", + "2 0.21333 \n", + "3 0.779349 \n", + "4 0.486316 \n", + ".. ... \n", + "603 0.892747 \n", + "604 0.418941 \n", + "605 0.206467 \n", + "606 0.009706 \n", + "607 0.583045 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \\\n", + "0 0.373203 1.316907 \n", + "1 0.395304 1.412745 \n", + "2 0.213116 3.604804 \n", + "3 0.779009 1.014414 \n", + "4 0.490494 1.617360 \n", + ".. ... ... \n", + "603 1.052512 1.000000 \n", + "604 0.418941 1.000000 \n", + "605 0.137164 1.000000 \n", + "606 0.013095 1.000000 \n", + "607 0.580713 1.054270 \n", + "\n", + " vram_hours expected_value_ram_hoarding_fraction_diff \\\n", + "0 93344.522222 -0.186721 \n", + "1 83753.096944 0.083562 \n", + "2 749146.912222 -0.560113 \n", + "3 44560.546667 -0.094646 \n", + "4 249461.198333 -0.092769 \n", + ".. ... ... \n", + "603 147719.920278 -0.003888 \n", + "604 29827.926944 0.020978 \n", + "605 322.408889 -0.019613 \n", + "606 161.798333 -0.140497 \n", + "607 130653.915833 -0.11755 \n", + "\n", + " expected_value_core_hoarding_fraction_diff \n", + "0 -0.164887 \n", + "1 -0.074742 \n", + "2 -0.371193 \n", + "3 -0.134397 \n", + "4 -0.132713 \n", + ".. ... \n", + "603 -0.20525 \n", + "604 -0.082384 \n", + "605 -0.194199 \n", + "606 -0.139495 \n", + "607 0.006767 \n", + "\n", + "[608 rows x 12 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "memory_hoarding_users = analyzer.calculate_node_resource_hoarding_for_users(filtered_jobs)\n", + "display(memory_hoarding_users)" + ] + }, + { + "cell_type": "markdown", + "id": "34", + "metadata": {}, + "source": [ + "#### [Find most inefficient users hoarding node RAM based on `expected_value_ram_hoarding_fraction_diff`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "35", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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hSS8sLFS5/8obX7t378aTJ0/UGqb6PNQ9/upoa2tj6NChKC4uVjnMtZJMJsOwYcOQnp4uuWEGPJ0A8d69e5K/A+Dp5+jt7Q1ra2sEBgaisLAQO3bsqPtBPqfaPpu6qvy9ql+/viT99u3bOHjwIIYOHQrg6ZD/TZs2obS0VGU9hoaG6Nu3r+Sm0vnz53Hx4kUMGzaszu1SdYzPPvNcqfLcVx0KXcnMzAx9+/bFr7/+KrmRCDz9LAcMGAA9PT0MHToUV69excmTJ9VqX35+Pu7fv6903mpT+Tej7qNEw4YNg6OjI7744osaP+PK81B1eP/zevz4sdK5LykpqbVcdd+nkpISbN68WfJ9OnDgAHJyciT5duzYgWbNmsHT0/OFHEd10tLScP/+fQwbNqzaR7Mqv1Oq5gWYPHky6tevr5EJTO3s7NC9e3ccP34cBQUFteZX9ZtQda6J8vJypTxFRUUvvO30mniZ3exE9HyqDjXdtm2bAECYN2+eJF9AQIAgk8mE3377TUwDIAAQTp06JabduHFDMDAwEPr371/jflUN1aocFtizZ0/JUL6pU6cK2trawoMHDwRBEITCwkKhXr16wnvvvSepMycnRzAzM5OkVzfUsLqhed27dxe6d+8uvl+7dq0AQFi6dKnSMTzbRlQZVhcaGirY2NiIw44rBQYGCmZmZuLQxsrhac2bNxdKSkrEfF9//bUAQEhPTxfTNDm8/OzZs7UOk8vKyhK0tbWF+fPnS9LT09MFHR0dSXr37t0FAMLq1aslebdu3Vrt0M/aNGnSRAAgbN68WUzLz88XbGxsBHd3dzHt22+/FQAIly9fFtNKS0sFS0tLyXBhVSq/l9W9jh07plSmuLhYaNasmQBAaNeunfDkyROlPJXfw/379wt5eXnCzZs3hYSEBMHCwkKQy+XCrVu3BEH4/9+H6l537twRBOHp3wQA4ezZs3U5hYIgqDe8XJ3jr23IZOVn/fXXX9fYnosXLwoAhJkzZ0rSAwMDBQMDAyE/P19Mu3v3rqCjoyN89913Ypqnp6fQt29fpXo1Nby8ts+mtv3l5eUJeXl5wm+//SYsXrxYkMlkQqtWrZSGLy9evFiQy+VCQUGBIAiCcOXKFQGAsHXrVkm+Z4e4JicnCzKZTMjOzhYEQRA+/PBDoVmzZoIgqD/EddSoUTUeZ9XfFTc3N8HMzKzGOpcuXSoAEJKSksS0U6dOCQCEffv2CYLw9Pf0jTfeECZPnqxUHoAQGhoq5OXlCbm5ucKpU6cEPz8/lUOJaxpeXsnMzEzym1Hd8PLK70flY0pbtmyRtOnZ8+Du7i7Uq1dPaV9FRUXiZ56Xlyf5PlenuvMeHR2t1OaMjAwhLy9PyMrKEtauXSvI5XKhQYMGSo/zbNq0SQAgXL16VRAEQSgoKBAMDAwkj6fk5+cLAFT+PdWmrsPLly9frvL7/Kx79+6Jj05UevZ7XPmY2OnTpwVBeDHDyytNnjxZACCcP3++2rpr+k24fv26pM2q8tT2/xFRdTiRGtG/wK5du6CtrY1JkyZJ0qdPn45NmzZh9+7dkl7nTp06SSYysbOzQ9++fbFjxw6Ul5c/15DGsWPHSiYL6tq1K5YtW4YbN26gdevW2LdvHx48eIChQ4dKel60tbXRoUMHHDx4sM77rM7mzZthaWmJiRMnKm2rbkIjQRCwefNmDB48GIIgSNro6+uLhIQEnDlzRjIEMSQkBHp6euL7yiGC165dU2vG4b/KzMwMALB371706tVLMqlXpS1btqCiogKDBw+WHJO1tTUcHR1x8OBBcQg58HTSqJCQEEkdlUuzJScno02bNtVOslUdW1tbcZQCAJiammLkyJFYuHAhcnJyYG1tjcGDB2Py5MmIi4vD3LlzxeP6448/1O6FGjt2LAYNGqSU3qJFC6U0PT098fz16NGjxu981Qm/mjRpgri4OKWe8c8//1z8DjzL3NwcAMTeF1WTIL0IdTn+6lTOVKxqtuiqdbq7uyMhIQFffvklgKePuCQlJaF3794wNTUV8yYkJEBLS0syqdXQoUMxffr05+r1fB61fTY1efjwIRo0aCBJ69KlC9atW6f0exIXF4d3331X/IwdHR3Rrl07xMXFoV+/firrf/vtt2Fubo6EhASEh4cjISGh2h7omhgYGFQ7euCtt96SvK9uMq5nVW5/ttcwLi4OVlZW8Pb2BgBxRu0NGzZgyZIlSn9Ha9aswZo1a8T3urq6mDFjhtqTXT3L2Ni41u/ls4KCgjBv3jx88cUX6Nevn8rf/oKCApWzc3/66af4+uuvxffvvvturTO6A08fF6g6wqtly5ZK+ZydnSXvXV1dER0drfQbHhcXh/bt24uTn1U+khUXFyc+oqLp35VnVZ7/mval6nvzrMmTJ2P58uWYM2cOtm/f/kLbp+7vF6D6N+HZmeaBpxOrfffdd5I0TqJGz4tBN9G/wI0bN2Bra6v0H2HlbOY3btyQpDs6OirV4eTkhOLiYuTl5Sn9x6MOOzs7yfvKC+n79+8DeDrEGIDK5ZoASC7S/6rMzEw4OzvXaWbyvLw8PHjwAP/973+rXYosNzdX8r62Y9aUyovHpk2bYtq0aVi6dCni4uLQtWtX9OnTB8OHDxcDyqtXr0IQBJWfOQClALpRo0aSGwkA0L17dwwcOBBz5szBsmXL4OXlhX79+mHYsGHQ19evtb0ODg5KF7xOTk4Ang6rtLa2Rr169eDv74/4+Hgx6K4MbKv7zlTl6Oio9ozYX3/9Nc6ePYtWrVohKioK7733XrUzMP/nP/+Bk5MTdHR0YGVlBWdnZ2hpKT+d5erqWuP+K7/jdQkc6qIux1+dyqGT6lzABwUFITw8HEePHoWnpye2bduG4uJipaHlGzZswJtvvok///wTf/75J4CnM6qXlpYiMTFRfJzkRVEVXNX22dTk2WD21q1bWLRoEXJzc5Vmpb58+TLOnj2LkSNHKs3t8J///AcFBQUqf+cqZ4SPj4/Hm2++iZs3bz7X0HJtbW21j9HExETlsPNnVQ2wysvLkZCQAG9vb8l8Bh06dMCSJUuQkpKCt99+W1JHZRBaWlqKkydP4ssvv0RxcbHKv5/aFBUVoWHDhmrn19bWxmeffYZRo0Zh27Ztkht/lUxMTMTv5LPGjx8vLl1Xl6Hnb7zxhlqfwebNm2Fqaoq8vDxERUXh+vXrSt+nBw8eYNeuXQgLC5N8nzp37ozNmzfjypUrcHJy0vjvyrMqvws17au2wNzMzAxTpkzB7Nmzcfbs2Rd6060uv1/q/CYYGRn9rass0L8bg24ieiGq6ykU/u95uspnpWJjY1UG9Zpeuqs2le0bPny4ZCmpZ1Vdrqa2Y34e+vr64hJQVRUXFwOAZBmhJUuWIDg4GNu3b8dPP/2ESZMmITIyEsePH8cbb7yBiooKyGQy7N69W2V7q/byqFreRiaTYdOmTTh+/Dh27NiBvXv3YvTo0ViyZAmOHz9e4/rAdTFy5EgkJibi6NGjcHV1RVJSEsaPH/9cF+g1uXnzJmbPno1+/fph5cqVcHFxwYQJE7B3716V+d988020b9/+L+/XxcUFwNPljNzc3P5yfZpQOedBdTcgnjV06FDMmDED8fHx8PT0RHx8POrXry9ZtuzZ531V3fiJi4urU9BtYGCAkpISCIKgFFwLgoDHjx+/8GW2qgazvr6+cHFxwbhx45CUlCSmV07yNXXqVKXl0oCngVbVUSSVhg0bhtWrVyMiIgJt2rSp0+iE59G8eXOcO3cO2dnZSjcPK/3yyy8A/v9IiQMHDuDOnTtISEhQub55XFycUtD9bBDaq1cvWFpaIiwsDN7e3tXOyaHKrVu3kJ+fr9b38llBQUGYO3eu2NtdlYuLC86dO4fff/9dMnLFyclJvDGoiWXbunXrBktLSwBPJx9zdXVFUFAQTp8+Lf7eJSYmoqSkBEuWLMGSJUuU6oiLi8OcOXNgamoKW1vbvzQni7oqb+T/8ssv1Y7cqPq9UWXy5MlYtmwZ5syZ80LnOblw4QK0tbXRtGnTF1Yn0YvCidSI/gWaNGmC27dvK919/vXXX8Xtz6rsdX7WlStXYGhoqDSM8kWxt7cH8HSt5J49eyq9qs4+/lf3lZGRgbKyMrXLNGjQACYmJigvL1fZvp49e9apl6VSdcPZq9OkSRNkZGSo3FaZXvXzdHV1xWeffYb//e9/OHz4MH7//XesXr0awNNzIQgCmjZtqvKYOnbsqHbbOnbsiPnz5+PUqVOIi4vDxYsXVV58V/Xbb78p3Yi4cuUKAOm6qH5+fmjQoAHi4uKwdetWFBcXa2TSscrhn1FRUbCxscH8+fPx008/qXUsf8U777wDbW1ttWZgfhnKy8sRHx8PQ0NDdOnSpdb8tra28Pb2RmJiIu7evYt9+/YhICBAMlIiLi4Ourq6SEhIQGJiouQ1efJkHD58GNnZ2Wq3sUmTJnjy5InKWZ5/++03lJeXq1w7/EWysbERZ2GunExQEATEx8eL56Pqq3Xr1jXO8t2lSxfY2dkhNTX1uXq566qyF3f9+vUqtxcUFGD79u1wcXERA924uDg0bNhQ5fENHTpUnKG+JuPGjYO9vT0+++yzOt2crFyfXtXa3jWp7O0+d+6cyqHMleehLjOwv2jGxsaYPXs2zp07h40bN4rpcXFxaNWqlcrz3bNnT8nqAb1790ZmZiaOHTum0bZ26dIF9erVQ3x8PMrLy1XmqfxOVZ5bVSp7u7dv346zZ8++kLZlZ2fj0KFD6NSp098y1J6orhh0E/0L9OrVC+Xl5VixYoUkfdmyZZDJZErLnRw7dkyyZMfNmzexfft2vP322xpbosbX1xempqb48ssvVQbDqpYXe14DBw7EH3/8oXQ+gOp7obW1tTFw4EBxKZ0X1T4jI6Mal1+qqlevXjh+/DhOnz4tSX/w4AHi4uLg5uYmjhQoKChQmpna1dUVWlpa4oy5AwYMgLa2NubMmaN07IIgqBxaWdX9+/eVylb21KozM+/t27clS/cUFBRg/fr1kmMBno52GDp0KDZu3IiYmBi4uroqjS74q7Zu3YqkpCR88cUXaNy4MYCnQ0nbtWuHadOmqTXr7fNq3Lgx3nvvPfz000/45ptvlLZXVFRgyZIluHXrlsbaUJ3y8nJMmjQJly9fxqRJk9R+3CMoKAi5ubkYN24cysrKVM5a3rVrVwwZMgQBAQGS14cffggAdVoOrvK3TNXf9n/+8x9JHk2aOHEiDA0NsWDBAgDAkSNHkJWVhZCQEKXjDAgIwJAhQ3Dw4EHcvn1bZX0ymQxRUVGYPXu2xma3f1ZAQABatGiBBQsW4NSpU5JtFRUV+OCDD3D//n1xmcZHjx5hy5Yt6N27t8rjCwsLQ2FhoaTnXxUdHR1Mnz4dly9fVvt53gMHDmDu3Llo2rSp0vdLHcOHD4eDgwPmzJmjtG3w4MFo0aIF5s6dW+1qDH9l5JK6goKC8MYbb2DhwoUAnv6f/L///Q+DBw9Web5DQkLw22+/4eeffwYAzJgxA0ZGRhgzZgzu3r2rVH9mZqbkGfXnZWhoiPDwcGRkZODTTz9V2r5z507ExMTA19e31hu6U6ZMQb169fDFF1/85Xbdu3cPQ4cORXl5ucp2Eb0KOLyc6F/A398f3t7e+PTTT5GVlYU2bdrgp59+wvbt2zFlyhSxl7lSq1at4Ovri0mTJkFfXx8rV64EAJUXJS+KqakpVq1ahREjRqBt27YIDAxEgwYNkJ2djZ07d6Jz584qL6Sfx8iRI7F+/XpMmzYNJ06cQNeuXfHw4UPs378f48ePr3b5qQULFuDgwYPo0KED3nvvPbRo0QL37t3DmTNnsH//fty7d6/ObWnXrh1+/PFHTJs2DR4eHjA2Noa/v3+1+T/++GMkJiaiW7duGDduHFxcXHD79m3ExMTgzp07iI6OFvMeOHAAYWFhGDRoEJycnPDkyRPExsaKNxCApz3d8+bNw8yZM5GVlYV+/frBxMQE169fx9atWzF27FhxverqrFu3DitXrkT//v1hb2+PwsJCfPfddzA1NZUMJa6Ok5MTQkNDcfLkSVhZWWHt2rW4e/eu5FgqjRw5ElFRUTh48KB4AaquM2fOqOxFtre3R6dOnVBYWIhJkybB3d1dMumglpYWVq9ejQ4dOuDTTz9VGRCr4/DhwyrXnm7durV482DJkiXIzMzEpEmTxCCmfv36yM7ORmJiIn799VcEBgY+1/5rO/5K+fn5Yr7i4mL89ttv2LJlCzIzMxEYGCg+U6+OgQMHYvz48di+fTsaN26Mbt26idt+/vln/Pbbb0oTS1Vq1KgR2rZti7i4OHz00Udi+m+//YZ58+Yp5Xd3d8e7776LMWPG4Ouvv8bVq1fFCcL27duHXbt2YcyYMWjTpo1SWXU+m7qwsLBASEgIVq5cicuXLyMuLg7a2tp49913Vebv06cPPv30UyQkJFQ7iVjfvn3VWhrvRdDT08OmTZvQo0cPdOnSBSEhIWjfvj0ePHiA+Ph4nDlzBtOnTxe/i0lJSSgsLESfPn1U1texY0dxlMqQIUNq3HdwcDA+//xzLFy4UGmI8u7du/Hrr7/iyZMnuHv3Lg4cOIB9+/ahSZMmSEpKeq6h3tra2vj0009VDu3X1dXF1q1b4evriy5dumDAgAHo2rUrjIyM8PvvvyMpKQnZ2dnVfq4viq6uLiZPnowPP/wQe/bswfnz58WlQFXp1asXdHR0EBcXhw4dOsDe3h7x8fEYMmQImjdvjpEjR6JVq1YoLS3F0aNHkZiYiODg4BfS1o8//hhnz57FwoULcezYMQwcOBByuRxpaWnYsGEDmjdvjnXr1tVaj5mZGSZPnlzn644rV65gw4YNEAQBBQUFOH/+PBITE1FUVISlS5fCz8/veQ+NSLP+7unSieivU7V8UGFhoTB16lTB1tZW0NXVFRwdHYWvvvpKaUkb/N+SGxs2bBAcHR0FfX19wd3dXVyGqiY1LRlWdamXymU5qtZ78OBBwdfXVzAzMxMMDAwEe3t7ITg4WLKE2V9dMkwQni4J9emnnwpNmzYVdHV1BWtrayEgIEDIzMyUnIuqS6XcvXtXmDBhgtC4cWOxXI8ePYT//ve/SsdWdamuyvPz7BIxRUVFwrBhw4R69eoJANRaPuzWrVvCmDFjhEaNGgk6OjqCubm50Lt3b+H48eOSfNeuXRNGjx4t2NvbCwYGBoK5ubng7e0t7N+/X6nOzZs3C126dBGMjIwEIyMjwcXFRZgwYYKQkZEhOY+qlic6c+aMMHToUMHOzk7Q19cXGjZsKPTu3VvymVWncgmovXv3Cq1btxb09fUFFxeXGpc5a9mypaClpSUuyVWb2pbMqlziZfLkyYKWlpZw4sQJlfWEhYUJWlpa4nGps4yRINS+LFXV79iTJ0+E77//XujatatgZmYm6OrqCk2aNBFCQkKqXU7srywZ9uwSN1WXwTE2NhYcHR2F4cOHCz/99FONx1mdQYMGCQCEGTNmSNInTpwoAJD8zVUVEREhWeKncok5Va/Q0FBBEAShvLxc+Prrr4U2bdoIBgYGgoGBgdCmTRshKipKKC8vl9Rf18+mqpqWKMvMzBS0tbWFYcOGCRYWFkLXrl1rrKtp06biklfV/YZUVZclw2paSq3yd7+q3NxcYdq0aYKDg4Ogr68v1KtXT+jZs6dkmTBBEAR/f3/BwMBAaUmrZwUHBwu6urrikovV7VMQ/v/nXvn/Q+XfWuVLT09PsLa2Ft566y3h66+/Fpdge1ZtS4Y9q6ysTLC3t6+2TQ8ePBC++OILwd3dXTA2Nhb09PSExo0bCwEBAcKOHTuqPeZn1XS8NbW5Un5+vmBmZiZ0795dcHV1Fezs7Gqsy8vLS2jYsKFQVlYmpl25ckV47733BIVCIejp6QkmJiZC586dhW+++UZ4/PixUh11XTKsUnl5uRAdHS107txZMDU1FQwMDISWLVsKc+bMEYqKipTyV/c9vn//vmBmZlanJcMqX1paWkK9evUEd3d3YfLkycLFixeV8te0ZNiL+tsjUpdMEP6GcTNE9MqQyWSYMGHCC+tVJnrR3N3dYW5ujpSUlJfdFCIiIqK/jM90ExHRK+PUqVM4d+7cc61TTERERPQq4jPdRET00l24cAGnT5/GkiVLYGNjU+tzoURERET/FOzpJiKil27Tpk0ICQlBWVkZfvjhB42sjUtERET0MvCZbiIiIiIiIiINYU83ERERERERkYYw6CYiIiIiIiLSEE6k9oqqqKjA7du3YWJiAplM9rKbQ0RERERERM8QBAGFhYWwtbWFllb1/dkMul9Rt2/fRuPGjV92M4iIiIiIiKgGN2/exBtvvFHtdgbdrygTExMATz9AU1PTl9waIiIiIiIielZBQQEaN24sxm7VYdD9iqocUm5qasqgm4iIiIiI6BVV2+PAnEiNiIiIiIiISEMYdBMRERERERFpCIeXv+KcBn4JLV39l90MIiIiek3d3jXnZTeBiOgfjT3dRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWkIg24iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxEREREREZGGMOgmIiIiIiIi0hAG3UREREREREQawqCbiIiIiIiISEMYdBMRERERERFpCINuIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiOgfqVu3boiPj38hdSkUCixfvlx8L5PJsG3bthdS9+tm27ZtcHBwgLa2NqZMmaIyLSYmBvXq1VO7zqqfz6tsz549cHNzQ0VFxctuCr0iGHQTERER0d8iODgYMplM6eXn54fS0lJYWlpiwYIFKsvOnTsXVlZWKCsrAwAkJSXh7t27CAwMFPMoFAqkpqYiNTUVCoXi7zgkUmHcuHEICAjAzZs3MXfuXJVpQ4YMwZUrV9Su8+TJkxg7dqymmvxcvLy8EBMTg6ysLMhkMjHdz88Purq6iIuLq3Odjx8/xoQJE2BhYQFjY2MMHDgQd+/erbGMIAj4/PPPYWNjA7lcjp49e+Lq1auSPH369IGdnR0MDAxgY2ODESNG4Pbt23VuHz0fBt3PiImJUfpPwMDAQJJny5YtePvtt2FhYQGZTIZz584p1TNu3DjY29tDLpejQYMG6Nu3L3799de/6SiIiIiIXl1+fn64c+eO5PXDDz9AT08Pw4cPR3R0tFIZQRAQExODkSNHQldXFwAQFRWFkJAQaGm9fpezpaWlL7sJ1SoqKkJubi58fX1ha2sLExMTlWlyuRwNGzZUu94GDRrA0NBQgy1/sYKDgxEVFVXnclOnTsWOHTuQmJiIQ4cO4fbt2xgwYECNZRYtWoSoqCisXr0aP//8M4yMjODr64vHjx+Leby9vbFx40ZkZGRg8+bNyMzMREBAQJ3bR8/ntfmVKi8vV2uIh6mpqeQ/gRs3bki2P3z4EF26dMHChQurraNdu3aIjo7G5cuXsXfvXgiCgLfffhvl5eV/+TiIiIiI/sn09fVhbW0tedWvXx8AEBoaiitXriAtLU1S5tChQ7h27RpCQ0MBAHl5eThw4AD8/f3V2mdmZib69u0LKysrGBsbw8PDA/v3769Tu9PT0+Hj4wO5XA4LCwuMHTsWRUVFkjxr165Fy5Ytoa+vDxsbG4SFhdVa77BhwzBkyBBJWllZGSwtLbF+/XoAT3tUw8LCMGXKFFhaWsLX1xcAsHTpUri6usLIyAiNGzfG+PHjJW2qHMKdnJwMZ2dnGBoaIiAgAMXFxVi3bh0UCgXq16+PSZMmqX2dWlJSgvDwcDRq1AhGRkbo0KEDUlNTAQCpqakwMTEBAPj4+EAmk1Wbpmp4+Y4dO+Dh4QEDAwNYWlqif//+4raqw8sfPHiAMWPGoEGDBjA1NYWPjw/Onz8vbo+IiICbmxtiY2OhUChgZmaGwMBAFBYWinkqKiqwaNEiODg4QF9fH3Z2dpg/f77Y1qqfX15eHvT09JCSklLrefL398epU6eQmZlZ+0n9P/n5+VizZg2WLl0KHx8fMaY4evQojh8/rrKMIAhYvnw5PvvsM/Tt2xetW7fG+vXrcfv2bcnjEVOnTkXHjh3RpEkTeHp64uOPP8bx48fFkSOkWS816Fb1bIabmxsiIiIgCAIiIiJgZ2cHfX192NraYtKkSWK+mv7ggf//I5OUlIQWLVpAX18f2dnZtbZJJpNJ/hOwsrKSbB8xYgQ+//xz9OzZs9o6xo4di27dukGhUKBt27aYN28ebt68iaysLLXOCxEREdHryNXVFR4eHli7dq0kPTo6Gp6ennBxcQEApKWlwdDQEM2bN1er3qKiIvTq1QspKSk4e/Ys/Pz84O/vr9a1IfC008XX1xf169fHyZMnkZiYiP3790uCslWrVmHChAkYO3Ys0tPTkZSUBAcHh1rrDgoKwo4dOyTB8t69e1FcXCwJOtetWwc9PT0cOXIEq1evBgBoaWkhKioKFy9exLp163DgwAHMmDFDUn9xcTGioqKQkJCAPXv2IDU1Ff3798euXbuwa9cuxMbG4ttvv8WmTZvUOhdhYWE4duwYEhIS8Msvv2DQoEHw8/PD1atX4enpiYyMDADA5s2bcefOnWrTqtq5cyf69++PXr164ezZs0hJScGbb75ZbTsGDRqE3Nxc7N69G6dPn0bbtm3Ro0cP3Lt3T8yTmZmJbdu2ITk5GcnJyTh06JDk8YWZM2diwYIFmDVrFi5duoT4+Hjx2n/MmDGIj49HSUmJmH/Dhg1o1KgRfHx8aj1PdnZ2sLKywuHDh8W04OBgeHl5VVvm9OnTKCsrk8QZLi4usLOzw7Fjx1SWuX79OnJyciRlzMzM0KFDh2rL3Lt3D3FxcfD09BRHjpBm6bzsBlRn8+bNWLZsGRISEtCyZUvk5ORI7l6FhYXh0qVLSEhIgK2tLbZu3Qo/Pz+kp6fD0dERwNMfmYULF+L777+HhYWFWkNYioqK0KRJE1RUVKBt27b48ssv0bJly+c+jocPHyI6OhpNmzZF48aNn7seIiIion+D5ORkGBsbS9I++eQTfPLJJwCe9naHh4cjKioKxsbGKCwsxKZNmyRDdW/cuAErKyuloeXPdnA8++82bdqgTZs24vu5c+di69atSEpKUqs3Oj4+Ho8fP8b69ethZGQEAFixYgX8/f2xcOFCWFlZYd68eZg+fTomT54slvPw8Ki1bl9fXxgZGWHr1q0YMWKEuL8+ffqIPcQA4OjoiEWLFknKVk5SBjztzJo3bx7ef/99rFy5UkwvKyvDqlWrYG9vDwAICAhAbGws7t69C2NjY7Ro0QLe3t44ePCgUo97VdnZ2YiOjkZ2djZsbW0BAOHh4dizZw+io6Px5Zdfitfb5ubmsLa2BgCVaVXNnz8fgYGBmDNnjpj27Gf2rLS0NJw4cQK5ubnQ19cHACxevBjbtm3Dpk2bxGe/KyoqEBMTI57HESNGICUlBfPnz0dhYSG+/vprrFixAqNGjQIA2Nvbo0uXLgCAAQMGICwsDNu3b8fgwYMBPO3Uq5yXAICkw08QBKV22traSkbN2tjY1DjyNicnB3p6ekojAKysrJCTk1Ntmco8tZX56KOPsGLFChQXF6Njx45ITk6uti30Yr2yw8uzs7NhbW2Nnj17ws7ODm+++Sbee+89cVt0dDQSExPRtWtX2NvbIzw8HF26dJE8B1RWVoaVK1fC09NTHFJTE2dnZ6xduxbbt2/Hhg0bUFFRAU9PT9y6davO7V+5ciWMjY1hbGyM3bt3Y9++fdDT06s2f0lJCQoKCiQvIiIion8bb29vnDt3TvJ6//33xe1Dhw5FeXk5Nm7cCAD48ccfoaWlJQkIHz16pDTvTk2KiooQHh6O5s2bo169ejA2Nsbly5fV7um+fPky2rRpIwbcANC5c2dUVFQgIyMDubm5uH37Nnr06KF2myrp6Ohg8ODB4qRbDx8+xPbt2xEUFCTJ165dO6Wy+/fvR48ePdCoUSOYmJhgxIgR+PPPP1FcXCzmMTQ0FANu4GkwplAoJDc+rKyskJubW2tb09PTUV5eDicnJ/E619jYGIcOHarTMGpVzp07p/b5O3/+PIqKisTJxipf169fl7RDoVBIblzY2NiIx3n58mWUlJRUu08DAwOMGDFCHHVx5swZXLhwAcHBwWofk1wul3wWkZGR4iMDL8OHH36Is2fP4qeffoK2tjZGjhyp8mYBvXivbE/3oEGDsHz5cjRr1gx+fn7o1asX/P39oaOjI/mDf1ZJSQksLCzE93p6emjdurXa++zUqRM6deokvvf09ETz5s3x7bffijMvqisoKAhvvfUW7ty5g8WLF2Pw4ME4cuRItf9BREZGSu7sEREREf0bGRkZ1Tjs2tTUFAEBAYiOjsbo0aMRHR2NwYMHS4JES0tL3L9/X+19hoeHY9++fVi8eDEcHBwgl8sREBDwwiYkk8vlf6l8UFAQunfvjtzcXOzbtw9yuRx+fn6SPM8G/MDTnvzevXvjgw8+wPz582Fubo60tDSEhoaitLRU7GyqOnxYJpOpTFNn7qOioiJoa2vj9OnT0NbWlmyrOnqhrupyDouKimBjYyPpaa70bC9xTcepzv7GjBkDNzc33Lp1C9HR0fDx8UGTJk3Ubue9e/fQoEEDtfNbW1ujtLQUDx48kBzH3bt3qx0hUJl+9+5d2NjYSMq4ublJ8lpaWsLS0hJOTk5o3rw5GjdujOPHj0viH9KMl9rTraWlpXR3pfJh/saNGyMjIwMrV66EXC7H+PHj0a1bN5SVlUn+4J+9S3r58mV8/fXXYl1yuVwyfX9d6erqwt3dHb/99ludy5qZmcHR0RHdunXDpk2b8Ouvv2Lr1q3V5p85cyby8/PF182bN5+73URERET/ZKGhoUhLS0NycjKOHj0qTqBWyd3dHTk5OWoH3keOHEFwcDD69+8PV1dXWFtb12munebNm+P8+fN4+PChpE4tLS04OzvDxMQECoVCrQm2VPH09ETjxo3x448/Ii4uDoMGDar1WdvTp0+joqICS5YsQceOHeHk5KTxJaDc3d1RXl6O3NxcODg4SF7VBYXqat26tdrnr23btsjJyYGOjo5SOywtLdWqw9HREXK5vMZ9urq6on379vjuu+8QHx+P0aNHq1U38HTpr8zMTLi7u6tdpl27dtDV1ZW0KSMjA9nZ2dUGxk2bNoW1tbWkTEFBAX7++ecag+nKmw/PPrNOmvNSe7obNGiAO3fuiO8LCgpw/fp18b1cLoe/vz/8/f0xYcIEuLi4ID09XfIH37VrV421r7y8HOnp6ejVq9dfqkcQBAiCUOOXWl9fX3wmhYiIiOjfqqSkROlZUx0dHUmw1K1bNzg4OGDkyJFwcXFRmnjL3d0dlpaWOHLkCHr37l3rPh0dHbFlyxb4+/tDJpNh1qxZavXsVgoKCsLs2bMxatQoREREIC8vDxMnTsSIESPEZ2kjIiLw/vvvo2HDhnjnnXdQWFiII0eOYOLEiWrtY9iwYVi9ejWuXLmCgwcP1prfwcEBZWVl+Oabb+Dv7y+ZYE1TnJycEBQUhJEjR2LJkiVwd3dHXl4eUlJS0Lp1a7z77rvPXffs2bPRo0cP2NvbIzAwEE+ePMGuXbvw0UcfKeXt2bMnOnXqhH79+mHRokXiDYfKydjat29f6/4MDAzw0UcfYcaMGdDT00Pnzp2Rl5eHixcvSm7yjBkzBmFhYTAyMpJMbFeb48ePQ19fXxL4zpw5E7///nu1Q8zNzMwQGhqKadOmwdzcHKamppg4cSI6deqEjh07ivlcXFwQGRmJ/v37QyaTYcqUKZg3bx4cHR3RtGlTzJo1C7a2tujXrx8A4Oeff8bJkyfRpUsX1K9fH5mZmZg1axbs7e3Zy/03eak93T4+PoiNjcXhw4eRnp6OUaNGiUNVYmJisGbNGly4cAHXrl3Dhg0bIJfL0aRJE8kf/JYtW3D9+nWcOHECkZGR2Llz53O354svvsBPP/2Ea9eu4cyZMxg+fDhu3LiBMWPGiHnu3buHc+fO4dKlSwCe3n06d+6c+J/HtWvXEBkZidOnTyM7OxtHjx7FoEGDIJfL/3LwTkRERPRPt2fPHtjY2EhelZNXVZLJZBg9ejTu37+vsndRW1sbISEh4nPQtVm6dCnq168PT09P+Pv7w9fXF23btlW7zYaGhti7dy/u3bsHDw8PBAQEoEePHlixYoWYZ9SoUVi+fDlWrlyJli1bonfv3rh69ara+wgKCsKlS5fQqFEjdO7cudb8bdq0wdKlS7Fw4UK0atUKcXFxiIyMVHt/zys6OhojR47E9OnT4ezsjH79+uHkyZOws7P7S/V6eXkhMTERSUlJcHNzg4+PD06cOKEyr0wmw65du9CtWzeEhITAyckJgYGB4gR76po1axamT5+Ozz//HM2bN8eQIUOUnm0fOnQodHR0MHTo0DrNI/DDDz8gKChIMqfUnTt3ap1HYNmyZejduzcGDhyIbt26wdraGlu2bJHkycjIQH5+vvh+xowZmDhxIsaOHQsPDw8UFRVhz549YnsNDQ2xZcsW9OjRA87OzggNDUXr1q1x6NAhdvr9TWTCS3x6vqCgAGPHjsXu3bthZmaGuXPnYtmyZejXrx/c3NywYMECXL58GeXl5XB1dcW8efPEyQ7Kysowb948rF+/Hr///jssLS3RsWNHzJkzB66uroiJicGUKVPw4MEDtdszdepUbNmyBTk5Oahfvz7atWuHefPmSYaFxMTEICQkRKns7NmzERERgdu3b2PMmDE4ffo07t+/DysrK3Tr1g2ff/45nJ2d63RuzMzMYNXzI2jp8o+BiIiIXo7bu17NOWdycnLQsmVLnDlzpk7P2RLVRVZWFuzt7XHy5Em1b9T88ccfcHZ2xqlTp9C0aVMNt5BepsqYLT8/H6amptXme6lBN1WPQTcRERG9Cl7VoBsAtm3bBgsLC40+bkivp7KyMvz5558IDw/H9evXceTIEbXLnjp1CpmZmbUuwUb/fOoG3a/s7OVERERERDWpfGb1VRYXF4dx48ap3NakSRNcvHjxb25R9Q4fPox33nmn2u1FRUV/Y2teriNHjsDb2xtOTk7YtGlTncq2b99erefK6fXxWgXdNS1lsHv3bt4lJSIiIqIXqk+fPujQoYPKbbXNUP53a9++Pc6dO/eym/FK8PLy4hrW9MK8VkF3TT8ijRo1+vsaQkRERESvBRMTE5iYmLzsZqhFLpfXuIY6ET2f1yro5o8IERERERER/Z1e6pJhRERERERERP9mDLqJiIiIiIiINIRBNxEREREREZGGMOgmIiIiIiIi0hAG3UREREREREQawqCbiIiIiIiISEMYdBMRERERERFpCINuIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiIiIiDRE52U3gGp2ZfMnMDU1fdnNICIiIiIioufAnm4iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxEREREREZGGMOgmIiIiIiIi0hAG3UREREREREQawqCbiIiIiIiISEMYdBMRERERERFpCINuIiIiIiIiIg3RedkNoJq1ff87aOvJX3YziOgVkxEz/mU3gYiIiIjUwJ5uIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1EREREREREGsKgm4iIiIiIiEhDGHQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYioheqW7duiI+PfyF1KRQKLF++XHwvk8mwbdu2F1L362bbtm1wcHCAtrY2pkyZojItJiYG9erVU7vOqp/Pq2zPnj1wc3NDRUXFy24KERG9Zhh0ExG95oKDgyGTyZRefn5+KC0thaWlJRYsWKCy7Ny5c2FlZYWysjIAQFJSEu7evYvAwEAxj0KhQGpqKlJTU6FQKP6OQyIVxo0bh4CAANy8eRNz585VmTZkyBBcuXJF7TpPnjyJsWPHaqrJz8XLywsxMTHIysqCTCYT0/38/KCrq4u4uLg61/n48WNMmDABFhYWMDY2xsCBA3H37t0ay0RERMDFxQVGRkaoX78+evbsiZ9//lncnpqaqvLvTiaT4eTJk3VuIxERvboYdBMREfz8/HDnzh3J64cffoCenh6GDx+O6OhopTKCICAmJgYjR46Erq4uACAqKgohISHQ0nr9/nspLS192U2oVlFREXJzc+Hr6wtbW1uYmJioTJPL5WjYsKHa9TZo0ACGhoYabPmLFRwcjKioqDqXmzp1Knbs2IHExEQcOnQIt2/fxoABA2os4+TkhBUrViA9PR1paWlQKBR4++23kZeXBwDw9PRU+psbM2YMmjZtivbt2z/X8RER0avp9bsq+osuXryIgQMHQqFQQCaTqRxWV15ejlmzZqFp06aQy+Wwt7fH3LlzIQjC399gIiI16Ovrw9raWvKqX78+ACA0NBRXrlxBWlqapMyhQ4dw7do1hIaGAgDy8vJw4MAB+Pv7q7XPzMxM9O3bF1ZWVjA2NoaHhwf2799fp3anp6fDx8cHcrkcFhYWGDt2LIqKiiR51q5di5YtW0JfXx82NjYICwurtd5hw4ZhyJAhkrSysjJYWlpi/fr1AJ72qIaFhWHKlCmwtLSEr68vAGDp0qVwdXWFkZERGjdujPHjx0vaVDmEOzk5Gc7OzjA0NERAQACKi4uxbt06KBQK1K9fH5MmTUJ5ebla56GkpATh4eFo1KgRjIyM0KFDB6SmpgJ42qNqYmICAPDx8YFMJqs2TdXw8h07dsDDwwMGBgawtLRE//79xW1Vh5c/ePAAY8aMQYMGDWBqagofHx+cP39e3B4REQE3NzfExsZCoVDAzMwMgYGBKCwsFPNUVFRg0aJFcHBwgL6+Puzs7DB//nyxrVU/v7y8POjp6SElJaXW8+Tv749Tp04hMzOz9pP6f/Lz87FmzRosXboUPj4+aNeuHaKjo3H06FEcP3682nLDhg1Dz5490axZM7Rs2RJLly5FQUEBfvnlFwCAnp6e5O/NwsIC27dvR0hIiKSHnoiI/vkYdD+jvLy81me9iouL0axZMyxYsADW1tYq8yxcuBCrVq3CihUrcPnyZSxcuBCLFi3CN998o4lmExFplKurKzw8PLB27VpJenR0NDw9PeHi4gIASEtLg6GhIZo3b65WvUVFRejVqxdSUlJw9uxZ+Pn5wd/fH9nZ2WqVf/jwIXx9fVG/fn2cPHkSiYmJ2L9/vyQoW7VqFSZMmICxY8ciPT0dSUlJcHBwqLXuoKAg7NixQxIs7927F8XFxZKgc926ddDT08ORI0ewevVqAICWlhaioqJw8eJFrFu3DgcOHMCMGTMk9RcXFyMqKgoJCQnYs2cPUlNT0b9/f+zatQu7du1CbGwsvv32W2zatEmtcxEWFoZjx44hISEBv/zyCwYNGgQ/Pz9cvXoVnp6eyMjIAABs3rwZd+7cqTatqp07d6J///7o1asXzp49i5SUFLz55pvVtmPQoEHIzc3F7t27cfr0abRt2xY9evTAvXv3xDyZmZnYtm0bkpOTkZycjEOHDkkeX5g5cyYWLFiAWbNm4dKlS4iPj4eVlRUAYMyYMYiPj0dJSYmYf8OGDWjUqBF8fHxqPU92dnawsrLC4cOHxbTg4GB4eXlVW+b06dMoKytDz549xTQXFxfY2dnh2LFjte4TeDoK4r///S/MzMzQpk0blXmSkpLw559/IiQkRK06iYjon+OVD7pVTdLi5uaGiIgICIKAiIgI2NnZQV9fH7a2tpg0aZKYr6Y7/8D/721ISkpCixYtoK+vX+vFnoeHB7766isEBgZCX19fZZ6jR4+ib9++ePfdd6FQKBAQEIC3334bJ06ceO7zQESkScnJyTA2Npa8vvzyS3F7aGgoEhMTxSC0sLAQmzZtwujRo8U8N27cgJWVldLQ8qysLHh5ecHLywtZWVlieps2bTBu3Di0atUKjo6OmDt3Luzt7ZGUlKRWm+Pj4/H48WOsX78erVq1go+PD1asWIHY2Fjxedt58+Zh+vTpmDx5MpycnODh4SFOIlYTX19fGBkZYevWrZL99enTR+whBgBHR0csWrQIzs7OcHZ2BgBMmTIF3t7eUCgU8PHxwbx587Bx40ZJ/WVlZVi1ahXc3d3RrVs3BAQEIC0tDWvWrEGLFi3Qu3dveHt74+DBg7W2NTs7G9HR0UhMTETXrl1hb2+P8PBwdOnSBdHR0dDT0xOHjJubm8Pa2rratKrmz5+PwMBAzJkzB82bN0ebNm0wc+ZMle1IS0vDiRMnkJiYiPbt28PR0RGLFy9GvXr1JDcPKioqEBMTg1atWqFr164YMWKE2EtdWFiIr7/+GosWLcKoUaNgb2+PLl26YMyYMQAgDunevn27WF9MTIw4LwHwtGc/ODgYCoVC5QgzW1tb3LhxQ3xvY2MDOzu7as9vTk4O9PT0lEYAWFlZIScnp9pywP//uzIwMMCyZcuwb98+WFpaqsy7Zs0a+Pr64o033qixTiIi+ufRedkN+Cs2b96MZcuWISEhAS1btkROTo5kGFtYWBguXbqEhIQE2NraYuvWrfDz80N6ejocHR0BPO1tWLhwIb7//ntYWFjU6Vm26nh6euK///0vrly5AicnJ5w/fx5paWlYunRptWVKSkokd+4LCgr+cjuIiNTl7e2NVatWSdLMzc3Ffw8dOhRTp07Fxo0bMXr0aPz444/Q0tKSDMF+9OgRDAwM1N5nUVERIiIisHPnTty5cwdPnjzBo0eP1O7pvnz5Mtq0aQMjIyMxrXPnzqioqEBGRgZkMhlu376NHj16qN2mSjo6Ohg8eDDi4uIwYsQIPHz4ENu3b0dCQoIkX7t27ZTK7t+/H5GRkfj1119RUFCAJ0+e4PHjxyguLhaffzY0NIS9vb1YxsrKCgqFAsbGxpK03NzcWtuanp6O8vJyODk5SdJLSkpgYWFRp+Ou6ty5c3jvvffUynv+/HkUFRUp7fPRo0eS4dwKhUJy48LGxkY8zsuXL6OkpKTaz8zAwAAjRozA2rVrMXjwYJw5cwYXLlxQ+0YNAMjlchQXF4vvIyMj1S5bV97e3jh37hz++OMPfPfddxg8eDB+/vlnpWuNW7duYe/evUo3Z4iI6N/hHx10Z2dnw9raGj179oSuri7s7OzEYW+Vd/6zs7Nha2sLAAgPD8eePXsQHR0t9uCUlZVh5cqV1Q73eh4ff/wxCgoK4OLiAm1tbZSXl2P+/PkICgqqtkxkZCTmzJnzwtpARFQXRkZGNQ67NjU1RUBAAKKjozF69GhER0dj8ODBkiDR0tIS9+/fV3uf4eHh2LdvHxYvXgwHBwfI5XIEBAS8sAnJ5HL5XyofFBSE7t27Izc3F/v27YNcLoefn58kz7MBP/C0V79379744IMPMH/+fJibmyMtLQ2hoaEoLS0Vg+7KiecqyWQylWnqLG9VVFQEbW1tnD59Gtra2pJtz34+z6Mu57CoqAg2NjaSEWWVnu0lruk41dnfmDFj4Obmhlu3biE6Oho+Pj5o0qSJ2u28d+8eGjRooHZ+a2trlJaW4sGDB5LjuHv3brWPmVWq/LtycHBAx44d4ejoiDVr1iiNFoiOjoaFhQX69OmjdruIiOif45UfXl6TQYMG4dGjR2jWrBnee+89bN26FU+ePAEgvfP/7HDJQ4cOSe646+npoXXr1i+0XRs3bkRcXBzi4+Nx5swZrFu3DosXL8a6deuqLTNz5kzk5+eLr5s3b77QNhER/VWhoaFIS0tDcnIyjh49Kk6gVsnd3R05OTlqB95HjhxBcHAw+vfvD1dXV1hbW0uGn9emefPmOH/+PB4+fCipU0tLC87OzjAxMYFCoVBrgi1VPD090bhxY/z444+Ii4vDoEGDlALGqk6fPo2KigosWbIEHTt2hJOTE27fvv1c+1eXu7s7ysvLkZubKwZ4la/agsLatG7dWu3z17ZtW+Tk5EBHR0epHdUNqa7K0dERcrm8xn26urqiffv2+O677xAfHy95xKE2jx8/RmZmJtzd3dUu065dO+jq6kralJGRgezsbHTq1EnteoCnQ+ufHdUGPF0FIDo6WrIKABER/bu88j3dWlpaSs9kVa4H27hxY2RkZGD//v3Yt28fxo8fj6+++gqHDh1S+86/XC5/4bOEfvjhh/j444/FdWpdXV1x48YNREZGYtSoUSrL6OvrV/uMOBGRppWUlCg9n6qjoyMJlrp16wYHBweMHDkSLi4uShNvubu7w9LSEkeOHEHv3r1r3aejoyO2bNkCf39/yGQyzJo1S62e3UpBQUGYPXs2Ro0ahYiICOTl5WHixIkYMWKEOPFWREQE3n//fTRs2BDvvPMOCgsLceTIEUycOFGtfQwbNgyrV6/GlStX1Hq+2sHBAWVlZfjmm2/g7+8vmWBNU5ycnBAUFISRI0diyZIlcHd3R15eHlJSUtC6dWu8++67z1337Nmz0aNHD9jb2yMwMBBPnjzBrl278NFHHynl7dmzJzp16oR+/fph0aJF4g2HysnY1FkGy8DAAB999BFmzJgBPT09dO7cGXl5ebh48aLkJs+YMWMQFhYGIyMjycR2tTl+/Dj09fUlwfLMmTPx+++/i7PSV2VmZobQ0FBMmzYN5ubmMDU1xcSJE9GpUyd07NhRzOfi4oLIyEj0798fDx8+xPz589GnTx/Y2Njgjz/+wH/+8x/8/vvvGDRokKT+AwcO4Pr16+Jz60RE9O/zyvd0N2jQAHfu3BHfFxQU4Pr16+J7uVwOf39/REVFITU1FceOHUN6erpG7/zXpri4WGkiIW1t7TpdTBIR/Z327NkDGxsbyatLly6SPDKZDKNHj8b9+/dV9i5qa2sjJCQEcXFxau1z6dKlqF+/Pjw9PeHv7w9fX1+0bdtW7TYbGhpi7969uHfvHjw8PBAQEIAePXpgxYoVYp5Ro0Zh+fLlWLlyJVq2bInevXvj6tWrau8jKCgIly5dQqNGjdC5c+da87dp0wZLly7FwoUL0apVK8TFxWn0meFKlT2l06dPh7OzM/r164eTJ0/WOEGYOry8vJCYmIikpCS4ubnBx8en2klBZTIZdu3ahW7duiEkJAROTk4IDAwUJ9hT16xZszB9+nR8/vnnaN68OYYMGaL0bPvQoUOho6ODoUOH1mkegR9++AFBQUGStcXv3LlT6zwCy5YtQ+/evTFw4EB069YN1tbW2LJliyRPRkYG8vPzATz9W/j1118xcOBAODk5wd/fH3/++ScOHz6Mli1bSsqtWbNGsgoAERH9+8iEV3zx6JkzZyImJgYbN25EvXr18Pnnn2P//v2YPn06FAoFysvL0aFDBxgaGiI6OhpLlizBzZs3YWFhgeHDh+PIkSPV3vmPiYnBlClT8ODBA7XbU1paikuXLgEAevXqhaCgIAQFBcHY2Fh8HjI4OBj79+/Ht99+i5YtW+Ls2bMYO3YsRo8ejYULF6q1n4KCApiZmcF+6GJo6/215xKJ6N8nI2b8y26CSjk5OWjZsiXOnDlTp+dsieoiKysL9vb2OHnypNo3av744w84Ozvj1KlTaNq0qYZbSEREr4PKmC0/Px+mpqbV5nvlh5fPnDkT169fR+/evWFmZoa5c+eKPd316tXDggULMG3aNJSXl8PV1RU7duwQZ06Njo4Wl4v5/fffYWlpiY4dO6o17LE6t2/fljwLtnjxYixevBjdu3cXJ4/55ptvMGvWLIwfPx65ubmwtbXFuHHj8Pnnnz//iSAi+gewtrbGmjVrkJ2dzaCbXriysjL8+eef+Oyzz9CxY8c6jYzIysrCypUrGXATEdHf7pXv6X5dsaebiGryqvZ0/1PExcVh3LhxKrc1adIEFy9e/JtbVL3Dhw/jnXfeqXZ75drpr4PU1FR4e3vDyckJmzZtgqur68tuEhERvcb+NT3dREREL1qfPn3QoUMHldtetRmk27dvj3Pnzr3sZrwSvLy8lCZXJSIietUx6K6ipjVNd+/eja5du/6NrSEiIk0wMTGBiYnJy26GWuRyeY1rqBMREdGrjUF3FTX1JjRq1OjvawgRERERERH94zHoroK9CURERERERPSivPLrdBMRERERERH9UzHoJiIiIiIiItIQBt1EREREREREGsKgm4iIiIiIiEhDGHQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYbovOwGUM3OrH4PpqamL7sZRERERERE9BzY001ERERERESkIQy6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1EREREREREGsKgm4iIiIiIiEhDGHQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCE6L7sBVLOesxKho2/4sptBRH+To4uGvuwmEBEREdELxJ5uIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1EREREREREGsKgm4iIiIiIiEhDGHQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERUq27duiE+Pv6F1KVQKLB8+XLxvUwmw7Zt215I3a+bbdu2wcHBAdra2pgyZYrKtJiYGNSrV0/tOqt+Pq+yPXv2wM3NDRUVFS+7KURERNVi0E1E9C8UHBwMmUym9PLz80NpaSksLS2xYMEClWXnzp0LKysrlJWVAQCSkpJw9+5dBAYGinkUCgVSU1ORmpoKhULxdxwSqTBu3DgEBATg5s2bmDt3rsq0IUOG4MqVK2rXefLkSYwdO1ZTTX4uXl5eiImJQVZWFmQymZju5+cHXV1dxMXF1bnOx48fY8KECbCwsICxsTEGDhyIu3fv1lhGEAR8/vnnsLGxgVwuR8+ePXH16lVJnvnz58PT0xOGhoZ1utlBRET/Xgy6n7Flyxa0b98e9erVg5GREdzc3BAbGyvJo+pC1s/PT5KH/+ES0avAz88Pd+7ckbx++OEH6OnpYfjw4YiOjlYqIwgCYmJiMHLkSOjq6gIAoqKiEBISAi2t1++/jNLS0pfdhGoVFRUhNzcXvr6+sLW1hYmJico0uVyOhg0bql1vgwYNYGhoqMGWv1jBwcGIioqqc7mpU6dix44dSExMxKFDh3D79m0MGDCgxjKLFi1CVFQUVq9ejZ9//hlGRkbw9fXF48ePxTylpaUYNGgQPvjggzq3iYiI/p1emyuo8vLyWoefmZub49NPP8WxY8fwyy+/ICQkBCEhIdi7d68kX9UL2R9++EGynf/hEtGrQF9fH9bW1pJX/fr1AQChoaG4cuUK0tLSJGUOHTqEa9euITQ0FACQl5eHAwcOwN/fX619ZmZmom/fvrCysoKxsTE8PDywf//+OrU7PT0dPj4+kMvlsLCwwNixY1FUVCTJs3btWrRs2RL6+vqwsbFBWFhYrfUOGzYMQ4YMkaSVlZXB0tIS69evB/C0RzUsLAxTpkyBpaUlfH19AQBLly6Fq6srjIyM0LhxY4wfP17Spsoh3MnJyXB2doahoSECAgJQXFyMdevWQaFQoH79+pg0aRLKy8vVOg8lJSUIDw9Ho0aNYGRkhA4dOiA1NRUAkJqaChMTEwCAj48PZDJZtWmqhpfv2LEDHh4eMDAwgKWlJfr37y9uqzq8/MGDBxgzZgwaNGgAU1NT+Pj44Pz58+L2iIgI8Sa1QqGAmZkZAgMDUVhYKOapqKjAokWL4ODgAH19fdjZ2WH+/PliW6t+fnl5edDT00NKSkqt58nf3x+nTp1CZmZm7Sf1/+Tn52PNmjVYunQpfHx80K5dO0RHR+Po0aM4fvy4yjKCIGD58uX47LPP0LdvX7Ru3Rrr16/H7du3JY9HzJkzB1OnToWrq6va7SEion+3lxp0q3puzM3NDRERERAEAREREbCzs4O+vj5sbW0xadIkMV9NFyPA/78ASkpKQosWLaCvr4/s7Owa2+Pl5YX+/fujefPmsLe3x+TJk9G6dWuli9KqF7KVF7GV+B8uEb3qXF1d4eHhgbVr10rSo6Oj4enpCRcXFwBAWloaDA0N0bx5c7XqLSoqQq9evZCSkoKzZ8/Cz88P/v7+tf7+Vnr48CF8fX1Rv359nDx5EomJidi/f78kKFu1ahUmTJiAsWPHIj09HUlJSXBwcKi17qCgIOzYsUMSLO/duxfFxcWSoHPdunXQ09PDkSNHsHr1agCAlpYWoqKicPHiRaxbtw4HDhzAjBkzJPUXFxcjKioKCQkJ2LNnD1JTU9G/f3/s2rULu3btQmxsLL799lts2rRJrXMRFhaGY8eOISEhAb/88gsGDRoEPz8/XL16FZ6ensjIyAAAbN68GXfu3Kk2raqdO3eif//+6NWrF86ePYuUlBS8+eab1bZj0KBByM3Nxe7du3H69Gm0bdsWPXr0wL1798Q8mZmZ2LZtG5KTk5GcnIxDhw5JHl+YOXMmFixYgFmzZuHSpUuIj4+HlZUVAGDMmDGIj49HSUmJmH/Dhg1o1KgRfHx8aj1PdnZ2sLKywuHDh8W04OBgeHl5VVvm9OnTKCsrQ8+ePcU0FxcX2NnZ4dixYyrLXL9+HTk5OZIyZmZm6NChQ7VliIiIAEDnZTegOps3b8ayZcuQkJCAli1bIicnR3JnPSwsDJcuXUJCQgJsbW2xdetW+Pn5IT09HY6OjgCeXgAtXLgQ33//PSwsLOo0vE4QBBw4cAAZGRlYuHChZFtqaioaNmyI+vXrw8fHB/PmzYOFhcVfOt6SkhLJBUdBQcFfqo+IKDk5GcbGxpK0Tz75BJ988gmAp73d4eHhiIqKgrGxMQoLC7Fp0ybJUN0bN27AyspKaWh5VlaWyn+3adMGbdq0Ed/PnTsXW7duRVJSklq90fHx8Xj8+DHWr18PIyMjAMCKFSvg7++PhQsXwsrKCvPmzcP06dMxefJksZyHh0etdfv6+sLIyAhbt27FiBEjxP316dNH7CEGAEdHRyxatEhStnKSMuDpDeN58+bh/fffx8qVK8X0srIyrFq1Cvb29gCAgIAAxMbG4u7duzA2NkaLFi3g7e2NgwcPKvW4V5WdnY3o6GhkZ2fD1tYWABAeHo49e/YgOjoaX375pfh/mrm5OaytrQFAZVpV8+fPR2BgIObMmSOmPfuZPSstLQ0nTpxAbm4u9PX1AQCLFy/Gtm3bsGnTJvHZ74qKCsTExIjnccSIEUhJScH8+fNRWFiIr7/+GitWrMCoUaMAAPb29ujSpQsAYMCAAQgLC8P27dsxePBgAE9vnFc+zgVAclNdEASldtra2uLGjRviexsbmxpHt+Xk5EBPT09pBICVlRVycnKqLVOZR90yREREwCscdGdnZ8Pa2ho9e/aErq4u7OzsxDvx6lyMAE8vgFauXFntxYQq+fn5aNSoEUpKSqCtrY2VK1firbfeErf7+flhwIABaNq0KTIzM/HJJ5/gnXfewbFjx6Ctrf3cxxsZGSm5ACIi+qu8vb2xatUqSZq5ubn476FDh2Lq1KnYuHEjRo8ejR9//BFaWlqSgPDRo0cwMDBQe59FRUWIiIjAzp07cefOHTx58gSPHj1Su6f78uXLaNOmjRhwA0Dnzp1RUVGBjIwMyGQy3L59Gz169FC7TZV0dHQwePBgxMXFYcSIEXj48CG2b9+OhIQESb527dopld2/fz8iIyPx66+/oqCgAE+ePMHjx49RXFwsPv9saGgoBtzA02BMoVBIbnxYWVkhNze31ramp6ejvLwcTk5OkvSSkpK/fJP33LlzeO+999TKe/78eRQVFSnt89GjR5Lh3AqFQnLjwsbGRjzOy5cvo6SkpNrPzMDAACNGjMDatWsxePBgnDlzBhcuXEBSUpLaxySXy1FcXCy+j4yMVLssERGRpr2yQfegQYOwfPlyNGvWDH5+fujVqxf8/f2ho6Oj9sWInp4eWrduXaf9mpiY4Ny5cygqKkJKSgqmTZuGZs2aicPUnp2919XVFa1bt4a9vT1SU1Of6yKw0syZMzFt2jTxfUFBARo3bvzc9RERGRkZ1Tjs2tTUFAEBAYiOjsbo0aMRHR2NwYMHS4JES0tL3L9/X+19hoeHY9++fVi8eDEcHBwgl8sREBDwwiYkk8vlf6l8UFAQunfvjtzcXOzbtw9yuVxpMsxnA37gaU9+79698cEHH2D+/PkwNzdHWloaQkNDUVpaKgbdlRPPVZLJZCrT1FneqqioCNra2jh9+rTSDd2qoxfqqi7nsKioCDY2NpKe5krP9hLXdJzq7G/MmDFwc3PDrVu3EB0dDR8fHzRp0kTtdt67dw8NGjRQO7+1tTVKS0vx4MEDyXHcvXu32hEClel3796FjY2NpIybm5va+yYiotfPSw26tbS0lIaJVS5R07hxY2RkZGD//v3Yt28fxo8fj6+++gqHDh1S+2JELpdLlhZRt02VF6lubm64fPkyIiMjq302rFmzZrC0tMRvv/32l4JufX19cegeEdHfJTQ0FF5eXkhOTsbRo0fx1VdfSba7u7sjJycH9+/fV5q/QpUjR44gODhYfEa6qKhIMvy8Ns2bN0dMTAwePnwoBr9HjhyBlpYWnJ2dYWJiAoVCgZSUFHh7e6t/oP/H09MTjRs3xo8//ojdu3dj0KBBSgFjVadPn0ZFRQWWLFkiDrPfuHFjnfddF+7u7igvL0dubi66du36Qutu3bo1UlJSEBISUmvetm3bIicnBzo6Os+9NJyjoyPkcjlSUlIwZswYlXlcXV3Rvn17fPfdd4iPj8eKFSvUrv/x48fIzMyEu7u72mXatWsHXV1dpKSkYODAgQCAjIwMZGdno1OnTirLNG3aFNbW1khJSRGD7IKCAvz888+cOJWIiGr0UoPuBg0a4M6dO+L7goICXL9+XXwvl8vh7+8Pf39/TJgwAS4uLkhPT9foxUhVFRUVkmetq7p16xb+/PNPyV1vIqJXQUlJidKzpjo6OrC0tBTfd+vWDQ4ODhg5ciRcXFyUJt5yd3eHpaUljhw5gt69e9e6T0dHR2zZsgX+/v6QyWSYNWuWWj27lYKCgjB79myMGjUKERERyMvLw8SJEzFixAjxWdqIiAi8//77aNiwId555x0UFhbiyJEjmDhxolr7GDZsGFavXo0rV67g4MGDteZ3cHBAWVkZvvnmG/j7+0smWNMUJycnBAUFYeTIkViyZAnc3d2Rl5eHlJQUtG7dGu++++5z1z179mz06NED9vb2CAwMxJMnT7Br1y589NFHSnl79uyJTp06oV+/fli0aBGcnJxw+/ZtcTK29u3b17o/AwMDfPTRR5gxYwb09PTQuXNn5OXl4eLFi+Is+cDT3u6wsDAYGRlJJrarzfHjx6Gvry8JlmfOnInff/9dnJW+KjMzM4SGhmLatGkwNzeHqakpJk6ciE6dOqFjx45iPhcXF0RGRqJ///6QyWSYMmUK5s2bB0dHRzRt2hSzZs2Cra0t+vXrJ5bJzs7GvXv3kJ2djfLycpw7dw7A0+/RXx2lQERE/0wvdfZyHx8fxMbG4vDhw0hPT8eoUaPEnuuYmBisWbMGFy5cwLVr17BhwwbI5XI0adJEcjGyZcsWXL9+HSdOnEBkZCR27tz53O2JjIzEvn37cO3aNVy+fBlLlixBbGwshg8fDuBpj82HH36I48ePIysrCykpKejbty8cHBzEZWWAp//hnjt3TvIfbuWQdSKiv8uePXtgY2MjeVVOXlVJJpNh9OjRuH//PkaPHq1Uh7a2NkJCQhAXF6fWPpcuXYr69evD09MT/v7+8PX1Rdu2bdVus6GhIfbu3Yt79+7Bw8MDAQEB6NGjh6Tnc9SoUVi+fDlWrlyJli1bonfv3rh69ara+wgKCsKlS5fQqFEjdO7cudb8bdq0wdKlS7Fw4UK0atUKcXFxf8szw9HR0Rg5ciSmT58OZ2dn9OvXDydPnoSdnd1fqtfLywuJiYlISkqCm5sbfHx8cOLECZV5ZTIZdu3ahW7duiEkJAROTk4IDAwUJ9hT16xZszB9+nR8/vnnaN68OYYMGaL0bPvQoUOho6ODoUOH1mkegR9++AFBQUGStcXv3LlT6zwCy5YtQ+/evTFw4EB069YN1tbW2LJliyRPRkYG8vPzxfczZszAxIkTMXbsWHh4eKCoqAh79uyRtPfzzz+Hu7s7Zs+ejaKiIri7u8Pd3R2nTp1S+5iIiOjfRSaomgb0b1JQUICxY8di9+7dMDMzw9y5c7Fs2TL069cPbm5uWLBgAS5fvozy8nK4urpi3rx54hDusrIyzJs3D+vXr8fvv/8OS0tLdOzYEXPmzIGrqytiYmIwZcoUPHjwQO32fPbZZ/jxxx9x69YtyOVyuLi4YPLkyeKkQo8ePUK/fv1w9uxZPHjwALa2tnj77bcxd+5cycVHcHAw1q1bp1T/wYMHa1zCpOq5MTMzg8ek76Gjb1h7ASL6Vzi6aOjLboKSnJwctGzZEmfOnKnTc7ZEdZGVlQV7e3ucPHlS7Rs1f/zxB5ydnXHq1Ck0bdpUwy0kIiKSqozZ8vPzYWpqWm2+lxp0U/UYdBO9nl7FoBsAtm3bBgsLC40/0kOvn7KyMvz5558IDw/H9evXceTIEbXLnjp1CpmZmbUuwUZERKQJ6gbdr+zs5URE9Op49pnVV1VcXBzGjRuncluTJk1w8eLFv7lF1Tt8+DDeeeedare/To8jHTlyBN7e3nBycsKmTZvqVLZ9+/ZqPVdORET0Mr1WQXdNE5js3r2bPThERP9gffr0QYcOHVRuq22G8r9b+/btxQm2XndeXl5KK5kQERH9m7xWQXdNFziNGjX6+xpCREQvnImJCUxMTF52M9Qil8trXEOdiIiI/j1eq6CbFzhERERERET0d3qpS4YRERERERER/Zsx6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWkIg24iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxEREREREZGGMOgmIiIiIiIi0hCdl90Aqtn+uYNgamr6sptBREREREREz4E93UREREREREQawqCbiIiIiIiISEMYdBMRERERERFpCINuIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1EREREREREGqLzshtANRv2zV7oGhi+7GYQvRK2Tn/3ZTeBiIiIiKhO2NNNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWkIg24iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxEREREREZGGMOgmIiIiIiIi0hAG3UREL0C3bt0QHx//QupSKBRYvny5+F4mk2Hbtm0vpO7XzbZt2+Dg4ABtbW1MmTJFZVpMTAzq1aundp1VP59X2Z49e+Dm5oaKioqX3RQiIqLXFoNuInotBQcHQyaTKb38/PxQWloKS0tLLFiwQGXZuXPnwsrKCmVlZQCApKQk3L17F4GBgWIehUKB1NRUpKamQqFQ/B2HRCqMGzcOAQEBuHnzJubOnasybciQIbhy5YradZ48eRJjx47VVJOfi5eXF2JiYpCVlQWZTCam+/n5QVdXF3FxcXWu8/Hjx5gwYQIsLCxgbGyMgQMH4u7du9XmLysrw0cffQRXV1cYGRnB1tYWI0eOxO3btyX5FAqF0t9ddX9rRERE/wYMup+xZcsWtG/fHvXq1YORkRHc3NwQGxsryaPqIl0mk+Grr74S81y5cgV9+/aFpaUlTE1N0aVLFxw8ePDvPhwiqoWfnx/u3Lkjef3www/Q09PD8OHDER0drVRGEATExMRg5MiR0NXVBQBERUUhJCQEWlqv309qaWnpy25CtYqKipCbmwtfX1/Y2trCxMREZZpcLkfDhg3VrrdBgwYwNDTUYMtfrODgYERFRdW53NSpU7Fjxw4kJibi0KFDuH37NgYMGFBt/uLiYpw5cwazZs3CmTNnsGXLFmRkZKBPnz5Keb/44gvJ393EiRPr3D4iIqJ/itfmCrG8vLzW4XXm5ub49NNPcezYMfzyyy8ICQlBSEgI9u7dK+apeoG+du1ayGQyDBw4UMzTu3dvPHnyBAcOHMDp06fRpk0b9O7dGzk5ORo7PiKqO319fVhbW0te9evXBwCEhobiypUrSEtLk5Q5dOgQrl27htDQUABAXl4eDhw4AH9/f7X2mZmZib59+8LKygrGxsbw8PDA/v3769Tu9PR0+Pj4QC6Xw8LCAmPHjkVRUZEkz9q1a9GyZUvo6+vDxsYGYWFhtdY7bNgwDBkyRJJWVlYGS0tLrF+/HsDTHtWwsDBMmTIFlpaW8PX1BQAsXbpU7OFs3Lgxxo8fL2lT5RDu5ORkODs7w9DQEAEBASguLsa6deugUChQv359TJo0CeXl5Wqdh5KSEoSHh6NRo0YwMjJChw4dkJqaCgBITU2FiYkJAMDHxwcymazaNFXDy3fs2AEPDw8YGBjA0tIS/fv3F7dVHV7+4MEDjBkzBg0aNICpqSl8fHxw/vx5cXtERIR4E1ehUMDMzAyBgYEoLCwU81RUVGDRokVwcHCAvr4+7OzsMH/+fLGtVT+/vLw86OnpISUlpdbz5O/vj1OnTiEzM7P2k/p/8vPzsWbNGixduhQ+Pj5o164doqOjcfToURw/flxlGTMzM+zbtw+DBw+Gs7MzOnbsiBUrVuD06dPIzs6W5DUxMZH83RkZGandNiIion+alxp0q3ouzs3NDRERERAEAREREbCzs4O+vj5sbW0xadIkMV9NF1vA/7/AS0pKQosWLaCvr6/0n35VXl5e6N+/P5o3bw57e3tMnjwZrVu3llx0V71A3759O7y9vdGsWTMAwB9//IGrV6/i448/RuvWreHo6IgFCxaguLgYFy5c+OsnjYj+Fq6urvDw8MDatWsl6dHR0fD09ISLiwsAIC0tDYaGhmjevLla9RYVFaFXr15ISUnB2bNn4efnB39//1p/nyo9fPgQvr6+qF+/Pk6ePInExETs379fEpStWrUKEyZMwNixY5Geno6kpCQ4ODjUWndQUBB27NghCZb37t2L4uJiSdC5bt066Onp4ciRI1i9ejUAQEtLC1FRUbh48SLWrVuHAwcOYMaMGZL6i4uLERUVhYSEBOzZswepqano378/du3ahV27diE2NhbffvstNm3apNa5CAsLw7Fjx5CQkIBffvkFgwYNgp+fH65evQpPT09kZGQAADZv3ow7d+5Um1bVzp070b9/f/Tq1Qtnz55FSkoK3nzzzWrbMWjQIOTm5mL37t04ffo02rZtix49euDevXtinszMTGzbtg3JyclITk7GoUOHJEOqZ86ciQULFmDWrFm4dOkS4uPjYWVlBQAYM2YM4uPjUVJSIubfsGEDGjVqBB8fn1rPk52dHaysrHD48GExLTg4GF5eXtWWOX36NMrKytCzZ08xzcXFBXZ2djh27Fit+6yUn58PmUymdFNjwYIFsLCwgLu7O7766is8efJE7TqJiIj+aXRedgOqs3nzZixbtgwJCQlo2bIlcnJyJD0HYWFhuHTpEhISEmBra4utW7fCz88P6enpcHR0BPD0Am/hwoX4/vvvYWFhUafhg4Ig4MCBA8jIyMDChQtV5rl79y527tyJdevWiWkWFhZwdnbG+vXr0bZtW+jr6+Pbb79Fw4YN0a5du+c8G0SkCcnJyTA2NpakffLJJ/jkk08APO3tDg8PR1RUFIyNjVFYWIhNmzZJhureuHEDVlZWSkPLs7KyVP67TZs2aNOmjfh+7ty52Lp1K5KSktTqjY6Pj8fjx4+xfv16sXdwxYoV8Pf3x8KFC2FlZYV58+Zh+vTpmDx5sljOw8Oj1rp9fX1hZGSErVu3YsSIEeL++vTpI/YQA4CjoyMWLVokKVs5SRnw9IbqvHnz8P7772PlypViellZGVatWgV7e3sAQEBAAGJjY3H37l0YGxujRYsW8Pb2xsGDB5V63KvKzs5GdHQ0srOzYWtrCwAIDw/Hnj17EB0djS+//FL8zTc3N4e1tTUAqEyrav78+QgMDMScOXPEtGc/s2elpaXhxIkTyM3Nhb6+PgBg8eLF2LZtGzZt2iQ++11RUYGYmBjxPI4YMQIpKSmYP38+CgsL8fXXX2PFihUYNWoUAMDe3h5dunQBAAwYMABhYWHYvn07Bg8eDODpjeXKeQkASG46C4Kg1E5bW1vcuHFDfG9jY1Pj6K+cnBzo6ekpBctWVlZqj9p6/PgxPvroIwwdOhSmpqZi+qRJk9C2bVuYm5vj6NGjmDlzJu7cuYOlS5eqVS8REdE/zSsbdGdnZ8Pa2ho9e/aErq4u7OzsxJ4GdS62gKcXeCtXrqz2YkmV/Px8NGrUCCUlJdDW1sbKlSvx1ltvqcy7bt06mJiYSJ5xk8lk2L9/P/r16wcTExNoaWmhYcOG2LNnjzhsVZWSkhJJL0ZBQYHabSai5+Pt7Y1Vq1ZJ0szNzcV/Dx06FFOnTsXGjRsxevRo/Pjjj9DS0pIEhI8ePYKBgYHa+ywqKkJERAR27tyJO3fu4MmTJ3j06JHaPd2XL19GmzZtJMNxO3fujIqKCmRkZEAmk+H27dvo0aOH2m2qpKOjg8GDByMuLg4jRozAw4cPsX37diQkJEjyqbqBuH//fkRGRuLXX39FQUEBnjx5gsePH6O4uFh8/tnQ0FAMuIGnAZxCoZDc+LCyskJubm6tbU1PT0d5eTmcnJwk6SUlJbCwsKjTcVd17tw5vPfee2rlPX/+PIqKipT2+ejRI8lwboVCIblxYWNjIx7n5cuXUVJSUu1nZmBggBEjRmDt2rUYPHgwzpw5gwsXLiApKUntY5LL5SguLhbfR0ZGql32eZSVlWHw4MEQBEHpb2zatGniv1u3bg09PT2MGzcOkZGR4o0LIiKif5NXNugeNGgQli9fjmbNmsHPzw+9evWCv78/dHR01L7Y0tPTQ+vWreu0XxMTE5w7dw5FRUVISUnBtGnT0KxZM5XD8NauXYugoCDJBbcgCJgwYQIaNmyIw4cPQy6X4/vvv4e/vz9OnjwJGxsblfuNjIyU9KoQkeYZGRnVOOza1NQUAQEBiI6OxujRoxEdHY3BgwdLgkRLS0vcv39f7X2Gh4dj3759WLx4MRwcHCCXyxEQEPDCJiSTy+V/qXxQUBC6d++O3Nxc7Nu3D3K5HH5+fpI8VZ+/zcrKQu/evfHBBx9g/vz5MDc3R1paGkJDQ1FaWioG3ZUTz1WSyWQq09RZ3qqoqAja2to4ffo0tLW1Jduqjl6oq7qcw6KiItjY2Eh6mis920tc03Gqs78xY8bAzc0Nt27dQnR0NHx8fNCkSRO123nv3j00aNBA7fzW1tYoLS3FgwcPJMdx9+7dakcIVKoMuG/cuIEDBw5IerlV6dChA548eYKsrCw4Ozur3UYiIqJ/ipcadGtpaSkNg6tcgqdx48bIyMjA/v37sW/fPowfPx5fffUVDh06pPbFllwulyydom6bKi/C3dzccPnyZURGRioF3YcPH0ZGRgZ+/PFHSfqBAweQnJyM+/fvixcaK1euxL59+7Bu3Tp8/PHHKvc7c+ZMyd3/goICNG7cuE5tJ6IXLzQ0FF5eXkhOTsbRo0clKxUAgLu7O3JycnD//v0aR7NUOnLkCIKDg8VnpIuKiiTDz2vTvHlzxMTE4OHDh2Lwe+TIEWhpacHZ2RkmJiZQKBRISUmBt7e3+gf6fzw9PdG4cWP8+OOP2L17NwYNGqQUMFZ1+vRpVFRUYMmSJeIw+40bN9Z533Xh7u6O8vJy5ObmomvXri+07tatWyMlJQUhISG15m3bti1ycnKgo6Pz3EvDOTo6Qi6XIyUlBWPGjFGZx9XVFe3bt8d3332H+Ph4rFixQu36Hz9+jMzMTLi7u6tdpl27dtDV1UVKSoo4UWhGRgays7PRqVOnastVBtxXr17FwYMH1Rp1cO7cOXFUGBER0b/RSw26GzRogDt37ojvCwoKcP36dfG9XC6Hv78//P39MWHCBLi4uCA9PV2jF1tVVVRUSIZ9V1qzZg3atWunNHS9cvhe1ec7tbS0auy90dfX57A6or9ZSUmJ0vOpOjo6sLS0FN9369YNDg4OGDlyJFxcXJQm3nJ3d4elpSWOHDmC3r1717pPR0dHbNmyBf7+/pDJZJg1a5ZaPbuVgoKCMHv2bIwaNQoRERHIy8vDxIkTMWLECHHirYiICLz//vto2LAh3nnnHRQWFuLIkSNqL8s0bNgwrF69GleuXFFruUMHBweUlZXhm2++gb+/v2SCNU1xcnJCUFAQRo4ciSVLlsDd3R15eXlISUlB69at8e677z533bNnz0aPHj1gb2+PwMBAPHnyBLt27cJHH32klLdnz57o1KkT+vXrh0WLFsHJyQm3b98WJ2Nr3759rfszMDDARx99hBkzZkBPTw+dO3dGXl4eLl68KM6SDzzt7Q4LC4ORkZFkYrvaHD9+HPr6+pJgeebMmfj999/FWemrMjMzQ2hoKKZNmwZzc3OYmppi4sSJ6NSpEzp27Cjmc3FxQWRkJPr374+ysjIEBATgzJkzSE5ORnl5ufj3ZW5uDj09PRw7dgw///wzvL29YWJigmPHjmHq1KkYPny4WjetiIiI/ole6uzlPj4+iI2NxeHDh5Geno5Ro0aJPdcxMTFYs2YNLly4gGvXrmHDhg2Qy+Vo0qSJ5GJry5YtuH79Ok6cOIHIyEjs3LnzudsTGRmJffv24dq1a7h8+TKWLFmC2NhYDB8+XJKvoKAAiYmJKnskOnXqhPr162PUqFE4f/48rly5gg8//BDXr1//SxeBRPTi7dmzBzY2NpJX5eRVlWQyGUaPHo379+9j9OjRSnVoa2sjJCQEcXFxau1z6dKlqF+/Pjw9PeHv7w9fX1+0bdtW7TYbGhpi7969uHfvHjw8PBAQEIAePXpIej5HjRqF5cuXY+XKlWjZsiV69+6Nq1evqr2PoKAgXLp0CY0aNULnzp1rzd+mTRssXboUCxcuRKtWrRAXF6fxZ4aBpzPJjxw5EtOnT4ezszP69euHkydPws7O7i/V6+XlhcTERCQlJcHNzQ0+Pj44ceKEyrwymQy7du1Ct27dEBISAicnJwQGBooT7Klr1qxZmD59Oj7//HM0b94cQ4YMUXq2fejQodDR0cHQoUPrNI/ADz/8gKCgIMna4nfu3Kl1HoFly5ahd+/eGDhwILp16wZra2ts2bJFkicjIwP5+fkAgN9//x1JSUm4desW3NzcJH9XR48eBfD0BnNCQgK6d++Oli1bYv78+Zg6dSr++9//qn08RERE/zQyQdU0p3+TgoICjB07Frt374aZmRnmzp2LZcuWoV+/fnBzc8OCBQtw+fJllJeXw9XVFfPmzRMnmikrK8O8efOwfv16/P7777C0tETHjh0xZ84cuLq6IiYmBlOmTMGDBw/Ubs9nn32GH3/8Ebdu3YJcLoeLiwsmT56sNIvuf//7X0yZMgV37tyBmZmZUj2nTp3Cp59+ilOnTqGsrAwtW7bE559/jnfeeadO58bMzAzvztsIXQPD2gsQvQa2Tn81b1zl5OSgZcuWOHPmTJ2esyWqi6ysLNjb2+PkyZNq36j5448/4OzsjFOnTqFp06YabiEREdHrpTJmy8/Pr3EOk5cadFP1GHQTKXtVg24A2LZtGywsLDT+yAu9fsrKyvDnn38iPDwc169fx5EjR9Que+rUKWRmZta6BBsRERHVnbpB9ys7ezkR0T9Jv379XnYTahUXF4dx48ap3NakSRNcvHjxb25R9Q4fPlzj6KCioqK/sTUv15EjR+Dt7Q0nJyds2rSpTmXbt2+v1nPlREREpDmvVdBd0zIyu3fvZg8VEf2r9enTBx06dFC5rbYZyv9u7du3x7lz5152M14JXl5eSit9EBER0T/HaxV013QB16hRo7+vIUREL4GJiQlMTExedjPUIpfLa1xDnYiIiOif4rUKunkBR0RERERERH+nl7pkGBEREREREdG/GYNuIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1EREREREREGsKgm4iIiIiIiEhDGHQTERERERERaQiDbiIiIiIiIiIN0XnZDaCaxU/0hamp6ctuBhERERERET0H9nQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWmIzstuANUsPP4o9ORGL7sZRC/NilFdX3YTiIiIiIieG3u6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1EREREREREGsKgm4iIiIiIiEhDGHQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuI6Dl069YN8fHxL6QuhUKB5cuXi+9lMhm2bdv2Qup+3Wzbtg0ODg7Q1tbGlClTVKbFxMSgXr16atdZ9fN5le3Zswdubm6oqKh42U0hIiKi/8Ogm4heC8HBwZDJZEovPz8/lJaWwtLSEgsWLFBZdu7cubCyskJZWRkAICkpCXfv3kVgYKCYR6FQIDU1FampqVAoFH/HIZEK48aNQ0BAAG7evIm5c+eqTBsyZAiuXLmidp0nT57E2LFjNdXk5+Ll5YWYmBhkZWVBJpOJ6X5+ftDV1UVcXFyd63z8+DEmTJgACwsLGBsbY+DAgbh7926NZe7evYvg4GDY2trC0NAQfn5+uHr1ap33TURE9G/GoJuIXht+fn64c+eO5PXDDz9AT08Pw4cPR3R0tFIZQRAQExODkSNHQldXFwAQFRWFkJAQaGm9fj+hpaWlL7sJ1SoqKkJubi58fX1ha2sLExMTlWlyuRwNGzZUu94GDRrA0NBQgy1/sYKDgxEVFVXnclOnTsWOHTuQmJiIQ4cO4fbt2xgwYEC1+QVBQL9+/XDt2jVs374dZ8+eRZMmTdCzZ088fPjwrxwCERHRv8rrd8VYi+XLl8PZ2RlyuRyNGzfG1KlT8fjxY5V5FyxYAJlMJg5hrPTf//4XXl5eMDU1hUwmw4MHDzTfcCKqlb6+PqytrSWv+vXrAwBCQ0Nx5coVpKWlScocOnQI165dQ2hoKAAgLy8PBw4cgL+/v1r7zMzMRN++fWFlZQVjY2N4eHhg//79dWp3eno6fHx8IJfLYWFhgbFjx6KoqEiSZ+3atWjZsiX09fVhY2ODsLCwWusdNmwYhgwZIkkrKyuDpaUl1q9fD+Bpj2pYWBimTJkCS0tL+Pr6AgCWLl0KV1dXGBkZoXHjxhg/frykTZVDuJOTk+Hs7AxDQ0MEBASguLgY69atg0KhQP369TFp0iSUl5erdR5KSkoQHh6ORo0awcjICB06dEBqaioAIDU1FSYmJgAAHx8fyGSyatNUDS/fsWMHPDw8YGBgAEtLS/Tv31/cVnV4+YMHDzBmzBg0aNAApqam8PHxwfnz58XtERERcHNzQ2xsLBQKBczMzBAYGIjCwkIxT0VFBRYtWgQHBwfo6+vDzs4O8+fPF9ta9fPLy8uDnp4eUlJSaj1P/v7+OHXqFDIzM2s/qf8nPz8fa9aswdKlS+Hj44N27dohOjoaR48exfHjx1WWuXr1Ko4fP45Vq1bBw8MDzs7OWLVqFR49eoQffvhB7X0TERH92702QXd5eXmtz7jFx8fj448/xuzZs3H58mWsWbMGP/74Iz755BOlvCdPnsS3336L1q1bK20rLi6Gn5+fynJE9GpydXWFh4cH1q5dK0mPjo6Gp6cnXFxcAABpaWkwNDRE8+bN1aq3qKgIvXr1QkpKCs6ePQs/Pz/4+/sjOztbrfIPHz6Er68v6tevj5MnTyIxMRH79++XBGWrVq3ChAkTMHbsWKSnpyMpKQkODg611h0UFIQdO3ZIguW9e/eiuLhYEnSuW7cOenp6OHLkCFavXg0A0NLSQlRUFC5evIh169bhwIEDmDFjhqT+4uJiREVFISEhAXv27EFqair69++PXbt2YdeuXYiNjcW3336LTZs2qXUuwsLCcOzYMSQkJOCXX37BoEGDxOHMnp6eyMjIAABs3rwZd+7cqTatqp07d6J///7o1asXzp49i5SUFLz55pvVtmPQoEHIzc3F7t27cfr0abRt2xY9evTAvXv3xDyZmZnYtm0bkpOTkZycjEOHDkkeX5g5cyYWLFiAWbNm4dKlS4iPj4eVlRUAYMyYMYiPj0dJSYmYf8OGDWjUqBF8fHxqPU92dnawsrLC4cOHxbTg4GB4eXlVW+b06dMoKytDz549xTQXFxfY2dnh2LFjKstUts/AwEBM09LSgr6+vtLNKyIiotfZSw26VU1O4+bmhoiICAiCgIiICNjZ2UFfXx+2traYNGmSmK+mHg/g//eyJCUloUWLFtDX16/1Ivfo0aPo3Lkzhg0bBoVCgbfffhtDhw7FiRMnJPmKiooQFBSE7777Tuwle9aUKVPw8ccfo2PHjnU/KUSkMcnJyTA2Npa8vvzyS3F7aGgoEhMTxSC0sLAQmzZtwujRo8U8N27cgJWVldLQ8qysLHh5ecHLywtZWVlieps2bTBu3Di0atUKjo6OmDt3Luzt7ZGUlKRWm+Pj4/H48WOsX78erVq1go+PD1asWIHY2Fjxedt58+Zh+vTpmDx5MpycnODh4aE0AkcVX19fGBkZYevWrZL99enTR+whBgBHR0csWrQIzs7OcHZ2BvD0d87b2xsKhQI+Pj6YN28eNm7cKKm/rKwMq1atgru7O7p164aAgACkpaVhzZo1aNGiBXr37g1vb28cPHiw1rZmZ2cjOjoaiYmJ6Nq1K+zt7REeHo4uXbogOjoaenp64pBxc3NzWFtbV5tW1fz58xEYGIg5c+agefPmaNOmDWbOnKmyHWlpaThx4gQSExPRvn17ODo6YvHixahXr57k5kFFRQViYmLQqlUrdO3aFSNGjBB7qQsLC/H1119j0aJFGDVqFOzt7dGlSxeMGTMGAMQh3du3bxfri4mJEeclAJ727AcHB0OhUEAQBKV22tra4saNG+J7Gxsb2NnZVXt+c3JyoKenpzQCwMrKCjk5OSrLVAblM2fOxP3791FaWoqFCxfi1q1buHPnTrX7IiIiet28sj3dmzdvxrJly/Dtt9/i6tWr2LZtG1xdXcXtNfV4VCouLsbChQvx/fff4+LFi7U+w+fp6YnTp0+LQfa1a9ewa9cu9OrVS5JvwoQJePfddyU9An9VSUkJCgoKJC8ierG8vb1x7tw5yev9998Xtw8dOhTl5eVi8Pjjjz9CS0tLMgT70aNHkp692hQVFSE8PBzNmzdHvXr1YGxsjMuXL6vd03358mW0adMGRkZGYlrnzp1RUVGBjIwM5Obm4vbt2+jRo4fabaqko6ODwYMHi5NuPXz4ENu3b0dQUJAkX7t27ZTK7t+/Hz169ECjRo1gYmKCESNG4M8//0RxcbGYx9DQEPb29uJ7KysrKBQKGBsbS9Jyc3NrbWt6ejrKy8vh5OQkuWly6NChOg2jVuXcuXNqn7/z58+jqKhInGys8nX9+nVJOxQKheTGhY2NjXicly9fRklJSbX7NDAwwIgRI8RRF2fOnMGFCxcQHBys9jHJ5XLJZxEZGSk+MvCi6OrqYsuWLbhy5QrMzc1haGiIgwcP4p133nkt5zsgIiKqjs7LbkB1srOzYW1tjZ49e0JXVxd2dnbicL/KHo/s7GzY2toCAMLDw7Fnzx5ER0eLPVdlZWVYuXIl2rRpo9Y+hw0bhj/++ANdunSBIAh48uQJ3n//fckw8YSEBJw5cwYnT558occbGRmJOXPmvNA6iUjKyMioxmHXpqamCAgIQHR0NEaPHo3o6GgMHjxYEiRaWlri/v37au8zPDwc+/btw+LFi+Hg4AC5XI6AgIAXNiGZXC7/S+WDgoLQvXt35ObmYt++fZDL5fDz85PkeTbgB5726vfu3RsffPAB5s+fD3Nzc6SlpSE0NBSlpaXipGOVE89VkslkKtPUWd6qqKgI2traOH36NLS1tSXbnv18nkddzmFRURFsbGwkI6sqPdtLXNNxqrO/MWPGwM3NDbdu3UJ0dDR8fHzQpEkTtdt57949NGjQQO381tbWKC0txYMHDyTHcffuXVhbW1dbrl27djh37hzy8/NRWlqKBg0aoEOHDmjfvr3a+yYiIvq3e2VvRQ8aNAiPHj1Cs2bN8N5772Hr1q148uQJAPV7PPT09FQ+c12d1NRUfPnll1i5ciXOnPl/7N19XM33/z/wx6lUp0squjA50yVJhYZsqdinWKEJkRQ1bLLl4sPaZ5HRwuZizbAZJ6xELpOrKfJRGCJrWHyaZJTaUBJJnd8ffp2vt65O5sjF4367ndut83q/Xu/387w7dXs/36+L92ls27YNu3fvlj925urVq/jkk08QHx/frJ4uRURERKC0tFT+unr16jPdPxEpJiQkBBkZGUhJScHRo0flC6jVcnJyQlFRkcKJd2ZmJoKDg+Hr6wt7e3uYmJgIhp83pXPnzjh79qxgNejMzEyoqKjAxsYGurq6kEgkCi2wVR8XFxd06NABmzZtQnx8PIYPH14nYXxSVlYWampqsHjxYvTu3RvW1ta4fv36Ux1fUU5OTqiurkZxcTEsLS0Fr8aSQkV069ZN4fPXvXt3FBUVQU1NrU4cRkZGCu3DysoKYrG40WPa29ujZ8+eWL16NRISEgRTHJpy//595OXlwcnJSeE2PXr0QKtWrQQx5ebmoqCgAH369Gmyvb6+Ptq2bYtLly7h1KlTGDJkiMLHJiIietW1aE+3iopKnblotc/B7dChA3Jzc5GamooDBw7go48+wldffYXDhw8r3OMhFosFzy9tSmRkJAIDA+Xz6uzt7XH37l1MmDAB//nPf5CVlYXi4mJ0795d3qa6uhr//e9/sXz5clRWVtaJR1EaGhrQ0NB4qrZEpJjKyso681PV1NQEyZKrqyssLS0xduxY2Nra1ll4y8nJCUZGRsjMzIS3t3eTx7SyssK2bdvg4+MDkUiEyMhIhXp2awUEBGDOnDkICgpCVFQUSkpKMGXKFAQGBsoX3oqKisKkSZPQrl07DBw4EHfu3EFmZiamTJmi0DFGjx6NVatW4eLFiwrNr7a0tERVVRW+/fZb+Pj4CBZYUxZra2sEBARg7NixWLx4MZycnFBSUoK0tDR069YN77333lPve86cOejfvz8sLCzg7++Phw8fYs+ePZg1a1adugMGDECfPn0wdOhQLFq0SH7DoXYxNkV6eDU1NTFr1izMnDkT6urq6Nu3L0pKSnDu3DnBTZ7Q0FCEhYVBW1tbsLBdU44fPw4NDQ1BshwREYFr1641OMRcX18fISEhmDZtGgwMDKCnp4cpU6agT58+gvVJbG1tERMTI48nKSkJbdu2hbm5OXJycvDJJ59g6NCh+Ne//qVwvERERK+6Fu3pbtu2rWCxlbKyMly+fFn+XiwWw8fHB7GxsUhPT8exY8eQk5OjtB6PioqKOvPQapNomUyG/v37IycnRzAftGfPnggICEB2dvZTJ9xE9Hzs27cPpqamgtfbb78tqCMSiTB+/HjcunWr3t5FVVVVjBs3Tj4PuilLlixBmzZt4OLiAh8fH3h6egpu3DVFS0sL+/fvx82bN+Hs7Aw/Pz/0798fy5cvl9cJCgrCsmXLsGLFCtjZ2cHb21uwvkVTAgICcP78ebRv3x59+/Ztsr6DgwOWLFmChQsXomvXroiPj0dMTIzCx3taUqkUY8eOxfTp02FjY4OhQ4fi5MmTjS4Qpgg3NzckJSUhOTkZjo6O8PDwqLOAZi2RSIQ9e/bA1dUV48aNg7W1Nfz9/eUL7CkqMjIS06dPx+zZs9G5c2eMHDmyztz2UaNGQU1NDaNGjWrW6KqNGzciICBA8GzxwsLCJtcRWLp0Kby9vTFs2DC4urrCxMQE27ZtE9TJzc1FaWmpYL+BgYGwtbXFxx9/jMDAQD4ujIiI6AkiWX3Lnj4nERERiIuLw+bNm9G6dWvMnj0bqampmD59OiQSCaqrq9GrVy9oaWlBKpVi8eLFuHr1KgwNDTFmzBhkZmY22OMRFxeH8PDwZj0jOyoqCkuWLMEPP/yAXr164X//+x8+/PBD9OjRA5s2baq3jZubGxwdHQWrsBcVFaGoqAinTp3CBx98gP/+97/Q1dWFubk5DAwMFIqlrKwM+vr6+GDlXqiLtZtuQPSKWh70TkuHUEdRURHs7Oxw+vTpZs2zJWqO/Px8WFhY4OTJkwrfqPnrr79gY2ODU6dO4c0331RyhERERK+32pyttLQUenp6DdZr0eHlERERuHz5Mry9vaGvr4958+bJe7pbt26NBQsWYNq0aaiuroa9vT127doFQ0NDAI96PGofk3Pt2jUYGRmhd+/eCg33bMjnn38OkUiEzz//HNeuXUPbtm3h4+OD6OjoZu1n1apVgkXRXF1d5TE3Z/VZInoxmZiYYM2aNSgoKGDSTc9cVVUV/v77b3z++efo3bt3s0ZG5OfnY8WKFUy4iYiIXiAt2tNNDWNPN9EjL2JP98siPj4eEydOrHdbx44dce7cueccUcOOHDmCgQMHNri99tnpr4P09HS4u7vD2toaW7ZsETwuk4iIiF4cL0VPNxERKc/gwYPRq1everc1tUL589azZ09kZ2e3dBgvBDc3tzqLjBIREdHL67VKuht7luvevXvxzjvsUSOiV4euri50dXVbOgyFiMXiRp+hTkRERPSyeq2S7sZ6Udq3b//8AiEiIiIiIqLXwlMl3evWrYORkZH8uagzZ87EDz/8gC5dumDjxo0v7MJC7EUhIiIiIiKi5+mpntP95ZdfQiwWAwCOHTuG7777DosWLYKRkRGmTp36TAMkIiIiIiIielk9VU/31atX5b3GO3bswLBhwzBhwgT07dsXbm5uzzI+IiIiIiIiopfWU/V06+jo4O+//wYA/Pzzz3j33XcBAJqamrh3796zi46IiIiIiIjoJfZUPd3vvvsuQkND4eTkhIsXL2LQoEEAgHPnzkEikTzL+IiIiIiIiIheWk/V0/3dd9/BxcUFJSUl2Lp1KwwNDQEAWVlZGDVq1DMNkIiIiIiIiOhl1eye7ocPHyI2NhazZs3CG2+8Idg2d+7cZxYYERERERER0cuu2T3dampqWLRoER4+fKiMeIiIiIiIiIheGU81vLx///44fPjws46FiIiIiIiI6JXyVAupDRw4EJ9++ilycnLQo0cPaGtrC7YPHjz4mQRHRERERERE9DITyWQyWXMbqag03EEuEolQXV39j4IioKysDPr6+igtLYWenl5Lh0NERERERESPUTRne6qe7pqamqcOjIiIiIiIiOh18VRzuh93//79ZxEHERERERER0SvnqZLu6upqzJs3D+3bt4eOjg7++OMPAEBkZCTWrFnzTAMkIiIiIiIielk9VdIdHR2NuLg4LFq0COrq6vLyrl274scff3xmwRERERERERG9zJ4q6V6/fj1++OEHBAQEQFVVVV7u4OCA33///ZkFR0RERERERPQye6qk+9q1a7C0tKxTXlNTg6qqqn8cFBEREREREdGr4KmS7i5duuDIkSN1yrds2QInJ6d/HBQRERERERHRq+CpHhk2e/ZsBAUF4dq1a6ipqcG2bduQm5uL9evXIyUl5VnHSERERERERPRSeqqe7iFDhmDXrl1ITU2FtrY2Zs+ejQsXLmDXrl149913n3WMRERERERERC8lkUwmk7V0EFRXWVkZ9PX1UVpaCj09vZYOh4iIiIiIiB6jaM72VMPLr169CpFIhDfeeAMAcOLECSQkJKBLly6YMGHC00VM9Vr281loaum0dBj0Apo5iOsnEBERERG96J5qePno0aNx6NAhAEBRUREGDBiAEydO4D//+Q+++OKLZxogERERERER0cvqqZLu3377DW+99RYAYPPmzbC3t8fRo0cRHx+PuLi4ZxkfERERERER0UvrqZLuqqoqaGhoAABSU1MxePBgAICtrS0KCwufXXREREREREREL7GnSrrt7OywatUqHDlyBAcOHICXlxcA4Pr16zA0NHymARIRERERERG9rJ4q6V64cCG+//579OvXD6NGjYKDgwMAIDk5WT7snIiIiIiIiOh191Srl7u5ueGvv/5CWVkZ2rRpIy+fMGECtLS0nllwRERERERERC+zZiXdbdq0gUgkqlOur68Pa2trzJgxA+++++4zC46IiIiIiIjoZdaspHvZsmX1lt++fRtZWVnw9vbGli1b4OPj8yxiIyIiIiIiInqpNSvpDgoKanS7o6MjYmJimHQTERERERER4SkXUmuIt7c3fv/992e5SyIiIiIiIqKX1jNNuisrK6Gurv4sd0lERERERET00nqmSfeaNWvg6Oj4LHdJRERERERE9NJqVtI9bdq0el8hISFwcnLC6tWrER0draxYiegl4erqioSEhGeyL4lEIljEUSQSYceOHc9k36+bHTt2wNLSEqqqqggPD6+3LC4uDq1bt1Z4n0/+fl5k+/btg6OjI2pqalo6FCIiInqNNCvpPnPmTL2vv/76C++++y5+++039OjRQ1mxEpGSBAcHQyQS1Xl5eXnhwYMHMDIywoIFC+ptO2/ePBgbG6OqqgoAkJycjBs3bsDf319eRyKRID09Henp6ZBIJM/jI1E9Jk6cCD8/P1y9ehXz5s2rt2zkyJG4ePGiwvs8efIkJkyYoKyQn4qbmxvi4uKQn58veMyll5cXWrVqhfj4+Gbv8/79+5g8eTIMDQ2ho6ODYcOG4caNG422qe9vSiQS4auvvpLXiY6OhouLC7S0tJp1s4OIiIheHs1Kug8dOlTva+fOnVi0aBHefPNNZcX5XGzbtg09e/ZE69atoa2tDUdHR2zYsEFQp7y8HGFhYXjjjTcgFovRpUsXrFq1SlCnqKgIgYGBMDExgba2Nrp3746tW7c+z49C1GxeXl4oLCwUvDZu3Ah1dXWMGTMGUqm0ThuZTIa4uDiMHTsWrVq1AgDExsZi3LhxUFF5prNXXgoPHjxo6RAaVF5ejuLiYnh6esLMzAy6urr1lonFYrRr107h/bZt2xZaWlpKjPzZCg4ORmxsbLPbTZ06Fbt27UJSUhIOHz6M69ev4/3332+0zZN/T2vXroVIJMKwYcPkdR48eIDhw4fjww8/bHZMRERE9HJ4ba6Kq6urmxxSaGBggP/85z84duwYfv31V4wbNw7jxo3D/v375XWmTZuGffv24aeffsKFCxcQHh6OsLAwJCcny+uMHTsWubm5SE5ORk5ODt5//32MGDECZ86cUdrnI/qnNDQ0YGJiIni1adMGABASEoKLFy8iIyND0Obw4cP4448/EBISAgAoKSnBwYMHFX5sYF5eHoYMGQJjY2Po6OjA2dkZqampzYo7JycHHh4eEIvFMDQ0xIQJE1BeXi6os3btWtjZ2UFDQwOmpqYICwtrcr+jR4/GyJEjBWVVVVUwMjLC+vXrATzqUQ0LC0N4eDiMjIzg6ekJAFiyZAns7e2hra2NDh064KOPPhLEVDuEOyUlBTY2NtDS0oKfnx8qKiqwbt06SCQStGnTBh9//DGqq6sVOg+VlZWYMWMG2rdvD21tbfTq1Qvp6ekAgPT0dOjq6gIAPDw8IBKJGiyrb3j5rl274OzsDE1NTRgZGcHX11e+7cnh5bdv30ZoaCjatm0LPT09eHh44OzZs/LtUVFR8huaEokE+vr68Pf3x507d+R1ampqsGjRIlhaWkJDQwPm5ubyqUseHh51fn8lJSVQV1dHWlpak+fJx8cHp06dQl5eXtMn9f8rLS3FmjVrsGTJEnh4eKBHjx6QSqU4evQojh8/3mC7J/+edu7cCXd3d3Tq1EleZ+7cuZg6dSrs7e0VjoeIiIheLi2adNc3F9DR0RFRUVGQyWSIioqCubk5NDQ0YGZmho8//lher7ELTOD/LmqTk5PRpUsXaGhooKCgoNF43Nzc4Ovri86dO8PCwgKffPIJunXrJkg0jh49iqCgILi5uUEikWDChAlwcHDAiRMnBHWmTJmCt956C506dcLnn3+O1q1bIysr65+dMKIWYm9vD2dnZ6xdu1ZQLpVK4eLiAltbWwBARkYGtLS00LlzZ4X2W15ejkGDBiEtLQ1nzpyBl5cXfHx8mvxbrXX37l14enqiTZs2OHnyJJKSkpCamipIylauXInJkydjwoQJyMnJQXJyMiwtLZvcd0BAAHbt2iVIlvfv34+KigpB0rlu3Tqoq6sjMzNTPupFRUUFsbGxOHfuHNatW4eDBw9i5syZgv1XVFQgNjYWiYmJ2LdvH9LT0+Hr64s9e/Zgz5492LBhA77//nts2bJFoXMRFhaGY8eOITExEb/++iuGDx8OLy8vXLp0CS4uLsjNzQUAbN26FYWFhQ2WPWn37t3w9fXFoEGDcObMGaSlpeGtt95qMI7hw4ejuLgYe/fuRVZWFrp3747+/fvj5s2b8jp5eXnYsWMHUlJSkJKSgsOHDwumL0RERGDBggWIjIzE+fPnkZCQAGNjYwBAaGgoEhISUFlZKa//008/oX379vDw8GjyPJmbm8PY2BhHjhyRlwUHB8PNza3BNllZWaiqqsKAAQPkZba2tjA3N8exY8eaPCYA3LhxA7t375bfoCIiIqLXh1pLB9CQrVu3YunSpUhMTISdnR2KiooEvSVhYWE4f/48EhMTYWZmhu3bt8PLyws5OTmwsrIC8OiiduHChfjxxx9haGjYrCGTMpkMBw8eRG5uLhYuXCgvd3FxQXJyMsaPHw8zMzOkp6fj4sWLWLp0qaDOpk2b8N5776F169bYvHkz7t+/3+hFHVFLS0lJgY6OjqDss88+w2effQbgUW/3jBkzEBsbCx0dHdy5cwdbtmwRDNW9cuUKjI2N6wwtz8/Pr/dnBwcHODg4yN/PmzcP27dvR3JyskK90QkJCbh//z7Wr18PbW1tAMDy5cvh4+ODhQsXwtjYGPPnz8f06dPxySefyNs5Ozs3uW9PT09oa2tj+/btCAwMlB9v8ODB8h5iALCyssKiRYsEbWsXKQMe3VycP38+Jk2ahBUrVsjLq6qqsHLlSlhYWAAA/Pz8sGHDBty4cQM6Ojro0qUL3N3dcejQoTo97k8qKCiAVCpFQUEBzMzMAAAzZszAvn37IJVK8eWXX8r//xkYGMDExAQA6i17UnR0NPz9/TF37lx52eO/s8dlZGTgxIkTKC4uhoaGBgDg66+/xo4dO7Blyxb53O+amhrExcXJz2NgYCDS0tIQHR2NO3fu4JtvvsHy5csRFBQEALCwsMDbb78NAHj//fcRFhaGnTt3YsSIEQAe3WStXZcAgOAGrEwmqxOnmZkZrly5In9vamra6EiooqIiqKur1xkBYGxsjKKiogbbPW7dunXQ1dVtckg6ERERvXpe2KS7oKAAJiYmGDBgAFq1agVzc3N574oiF5jAo4vaFStWNHiBWJ/S0lK0b98elZWVUFVVxYoVK/Duu+/Kt3/77beYMGEC3njjDaipqUFFRQWrV6+Gq6urvM7mzZsxcuRIGBoaQk1NDVpaWti+fXujvWuVlZWCnpuysjKFYyZ6Ftzd3bFy5UpBmYGBgfznUaNGYerUqdi8eTPGjx+PTZs2QUVFRZAQ3rt3D5qamgofs7y8HFFRUdi9ezcKCwvx8OFD3Lt3T+Ge7gsXLsDBwUGecANA3759UVNTg9zcXIhEIly/fh39+/dXOKZaampqGDFiBOLj4xEYGIi7d+9i586dSExMFNSrb/HI1NRUxMTE4Pfff0dZWRkePnyI+/fvo6KiQj7/WUtLS55wA48SOIlEIrjxYWxsjOLi4iZjzcnJQXV1NaytrQXllZWVMDQ0bNbnflJ2djY++OADheqePXsW5eXldY557949wXBuiUQiuHFhamoq/5wXLlxAZWVlg78zTU1NBAYGYu3atRgxYgROnz6N3377TTDFpylisRgVFRXy9zExMQq3fVpr165FQEBAs/4+iIiI6NXwwibdw4cPx7Jly9CpUyd4eXlh0KBB8PHxgZqamsIXmOrq6ujWrVuzjqurq4vs7GyUl5cjLS0N06ZNQ6dOneS91N9++y2OHz+O5ORkdOzYEf/9738xefJkmJmZyYceRkZG4vbt20hNTYWRkRF27NiBESNG4MiRIw3O24uJiRH0JBE9b9ra2o3eGNLT04Ofnx+kUinGjx8PqVSKESNGCJJEIyMj3Lp1S+FjzpgxAwcOHMDXX38NS0tLiMVi+Pn5PbMFycRi8T9qHxAQgH79+qG4uBgHDhyAWCyGl5eXoM7jCT/wqCff29sbH374IaKjo2FgYICMjAyEhITgwYMH8qS7duG5WiKRqN4yRR5vVV5eDlVVVWRlZUFVVVWw7cnRC83VnHNYXl4OU1NTQU9zrcd7iRv7nIocLzQ0FI6Ojvjzzz8hlUrh4eGBjh07KhznzZs30bZtW4Xrm5iY4MGDB7h9+7bgc9y4caPBEQKPO3LkCHJzc7Fp0yaFj0lERESvjhZNulVUVOoM/at97FCHDh2Qm5uL1NRUHDhwAB999BG++uorHD58WOELTLFYLHhcjKIx1SYejo6OuHDhAmJiYuDm5oZ79+7hs88+w/bt2/Hee+8BALp164bs7Gx8/fXXGDBgAPLy8rB8+XL89ttvsLOzA/BoKOaRI0fw3Xff1VnpvFZERASmTZsmf19WVoYOHTo0K3YiZQsJCYGbmxtSUlJw9OhRwaOPAMDJyQlFRUW4deuWfBG2xmRmZiI4OFg+R7q8vFww/LwpnTt3RlxcHO7evStPfjMzM6GiogIbGxvo6upCIpEgLS0N7u7uin/Q/8/FxQUdOnTApk2bsHfvXgwfPrxOwvikrKws1NTUYPHixfJh9ps3b272sZvDyckJ1dXVKC4uxjvvvPNM992tWzekpaVh3LhxTdbt3r07ioqKoKam9tSPhrOysoJYLEZaWhpCQ0PrrWNvb4+ePXti9erVSEhIwPLlyxXe//3795GXlwcnJyeF2/To0QOtWrVCWlqafOXx3NxcFBQUoE+fPk22X7NmDXr06NGsUVdERET06mjRpLtt27YoLCyUvy8rK8Ply5fl78ViMXx8fODj44PJkyfD1tYWOTk5Sr3AfFJNTY182HdVVRWqqqrqzFdVVVWV99LUDllsrE59NDQ05HMgiVpCZWVlnfmpampqMDIykr93dXWFpaUlxo4dC1tb2zoLbzk5OcHIyAiZmZnw9vZu8phWVlbYtm0bfHx8IBKJEBkZqVDPbq2AgADMmTMHQUFBiIqKQklJCaZMmYLAwED5wltRUVGYNGkS2rVrh4EDB+LOnTvIzMzElClTFDrG6NGjsWrVKly8eBGHDh1qsr6lpSWqqqrw7bffwsfHR7DAmrJYW1sjICAAY8eOxeLFi+Hk5ISSkhKkpaWhW7du8puET2POnDno378/LCws4O/vj4cPH2LPnj2YNWtWnboDBgxAnz59MHToUCxatAjW1ta4fv26fDG2nj17Nnk8TU1NzJo1CzNnzoS6ujr69u2LkpISnDt3TrAIWWhoKMLCwqCtrS1Y2K4px48fh4aGhiBZjoiIwLVr1+Sr0j9JX18fISEhmDZtGgwMDKCnp4cpU6agT58+6N27t7yera0tYmJiBPGUlZUhKSkJixcvrnffBQUFuHnzJgoKClBdXY3s7GwAj75H/3SUAhEREb0YWnT1cg8PD2zYsAFHjhxBTk4OgoKC5D3XcXFxWLNmDX777Tf88ccf+OmnnyAWi9GxY0fBBea2bdtw+fJlnDhxAjExMdi9e/dTxxMTE4MDBw7gjz/+wIULF7B48WJs2LABY8aMAfBoeG2/fv3w73//G+np6bh8+TLi4uKwfv16+UWWra0tLC0tMXHiRJw4cQJ5eXlYvHgxDhw4gKFDh/7jc0akLPv27YOpqangVbt4VS2RSITx48fj1q1bGD9+fJ19qKqqYty4cYiPj1fomEuWLEGbNm3g4uICHx8feHp6onv37grHrKWlhf379+PmzZtwdnaGn58f+vfvL+j5DAoKwrJly7BixQrY2dnB29sbly5dUvgYAQEBOH/+PNq3b4++ffs2Wd/BwQFLlizBwoUL0bVrV8THxz+XOcNSqRRjx47F9OnTYWNjg6FDh+LkyZMwNzf/R/t1c3NDUlISkpOT4ejoCA8PD8HTGh4nEomwZ88euLq6Yty4cbC2toa/v798gT1FRUZGYvr06Zg9ezY6d+6MkSNH1pnbPmrUKKipqWHUqFHNmie9ceNGBAQECJ4tXlhY2OQ6AkuXLoW3tzeGDRsGV1dXmJiYYNu2bYI6ubm5KC0tFZQlJiZCJpNh1KhR9e539uzZcHJywpw5c1BeXg4nJyc4OTnh1KlTCn8mIiIierGJZPUt7fqclJWVYcKECdi7dy/09fUxb948LF26FEOHDoWjoyMWLFiACxcuoLq6Gvb29pg/f758cZ2qqirMnz8f69evx7Vr12BkZITevXtj7ty5sLe3R1xcHMLDw3H79m2F4/n888+xadMm/PnnnxCLxbC1tcUnn3wiWCiqqKgIERER+Pnnn3Hz5k107NgREyZMwNSpU+VD2S9duoRPP/0UGRkZKC8vh6WlJWbMmCFfAVnRc6Ovr4+5Sf+FphZ7O6iumYMUHx77PBUVFcHOzg6nT59u1jxboubIz8+HhYUFTp48qfCNmr/++gs2NjY4deoU3nzzTSVHSERERK+62pyttLQUenp6DdZr0aSbGsakm5ryoibdALBjxw4YGhoqffoHvX6qqqrw999/Y8aMGbh8+TIyMzMVbnvq1Cnk5eU1+Qg2IiIiIkUomnS/sKuXE9HL62WYShEfH4+JEyfWu61jx444d+7cc46oYUeOHMHAgQMb3F5eXv4co2lZmZmZcHd3h7W1NbZs2dKstj179lRoXjkRERHRs/RaJd2NLUqzd+9e9soRvUYGDx6MXr161butqRXKn7eePXvKF9h63bm5udV56gURERHRi+y1Srobu2ht37798wuEiFqcrq4udHV1WzoMhYjF4kafoU5EREREL67XKunmRSsRERERERE9Ty36yDAiIiIiIiKiVxmTbiIiIiIiIiIlYdJNREREREREpCRMuomIiIiIiIiUhEk3ERERERERkZIw6SYiIiIiIiJSEibdRERERERERErCpJuIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJVFr6QCoceH/coCenl5Lh0FERERERERPgT3dRERERERERErCpJuIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKotbSAVDjtp3Kg5aOTkuHQS+YEW9ZtXQIRERERESkAPZ0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRPVOurq5ISEh4JvuSSCRYtmyZ/L1IJMKOHTueyb5fNzt27IClpSVUVVURHh5eb1lcXBxat26t8D6f/P28yPbt2wdHR0fU1NS0dChERET0mmHSTfSaCw4OhkgkqvPy8vLCgwcPYGRkhAULFtTbdt68eTA2NkZVVRUAIDk5GTdu3IC/v7+8jkQiQXp6OtLT0yGRSJ7HR6J6TJw4EX5+frh69SrmzZtXb9nIkSNx8eJFhfd58uRJTJgwQVkhPxU3NzfExcUhPz8fIpFIXu7l5YVWrVohPj6+2fu8f/8+Jk+eDENDQ+jo6GDYsGG4ceNGg/Wrqqowa9Ys2NvbQ1tbG2ZmZhg7diyuX78uqBcdHQ0XFxdoaWk162YHERERvVyYdBMRvLy8UFhYKHht3LgR6urqGDNmDKRSaZ02MpkMcXFxGDt2LFq1agUAiI2Nxbhx46Ci8vr9a3nw4EFLh9Cg8vJyFBcXw9PTE2ZmZtDV1a23TCwWo127dgrvt23bttDS0lJi5M9WcHAwYmNjm91u6tSp2LVrF5KSknD48GFcv34d77//foP1KyoqcPr0aURGRuL06dPYtm0bcnNzMXjwYEG9Bw8eYPjw4fjwww+bHRMRERG9PF6/K+NGVFVV4YsvvoCFhQU0NTXh4OCAffv2Cer897//hY+PD8zMzBoc6lpeXo6wsDC88cYbEIvF6NKlC1atWvWcPgVR82loaMDExETwatOmDQAgJCQEFy9eREZGhqDN4cOH8ccffyAkJAQAUFJSgoMHD8LHx0ehY+bl5WHIkCEwNjaGjo4OnJ2dkZqa2qy4c3Jy4OHhAbFYDENDQ0yYMAHl5eWCOmvXroWdnR00NDRgamqKsLCwJvc7evRojBw5UlBWVVUFIyMjrF+/HsCjHtWwsDCEh4fDyMgInp6eAIAlS5bIezg7dOiAjz76SBBT7RDulJQU2NjYQEtLC35+fqioqMC6desgkUjQpk0bfPzxx6iurlboPFRWVmLGjBlo3749tLW10atXL6SnpwMA0tPToaurCwDw8PCASCRqsKy+4eW7du2Cs7MzNDU1YWRkBF9fX/m2J4eX3759G6GhoWjbti309PTg4eGBs2fPyrdHRUXB0dERGzZsgEQigb6+Pvz9/XHnzh15nZqaGixatAiWlpbQ0NCAubk5oqOj5bE++fsrKSmBuro60tLSmjxPPj4+OHXqFPLy8po+qf9faWkp1qxZgyVLlsDDwwM9evSAVCrF0aNHcfz48Xrb6Ovr48CBAxgxYgRsbGzQu3dvLF++HFlZWSgoKJDXmzt3LqZOnQp7e3uF4yEiIqKXz2uTdFdXVzc5l+/zzz/H999/j2+//Rbnz5/HpEmT4OvrizNnzsjr3L17Fw4ODvjuu+8a3M+0adOwb98+/PTTT7hw4QLCw8MRFhaG5OTkZ/Z5iJ4Xe3t7ODs7Y+3atYJyqVQKFxcX2NraAgAyMjKgpaWFzp07K7Tf8vJyDBo0CGlpaThz5gy8vLzg4+MjSEoac/fuXXh6eqJNmzY4efIkkpKSkJqaKkjKVq5cicmTJ2PChAnIyclBcnIyLC0tm9x3QEAAdu3aJUiW9+/fj4qKCkHSuW7dOqirqyMzM1N+Y01FRQWxsbE4d+4c1q1bh4MHD2LmzJmC/VdUVCA2NhaJiYnYt28f0tPT4evriz179mDPnj3YsGEDvv/+e2zZskWhcxEWFoZjx44hMTERv/76K4YPHw4vLy9cunQJLi4uyM3NBQBs3boVhYWFDZY9affu3fD19cWgQYNw5swZpKWl4a233mowjuHDh6O4uBh79+5FVlYWunfvjv79++PmzZvyOnl5edixYwdSUlKQkpKCw4cPC6YvREREYMGCBYiMjMT58+eRkJAAY2NjAEBoaCgSEhJQWVkpr//TTz+hffv28PDwaPI8mZubw9jYGEeOHJGXBQcHw83NrcE2WVlZqKqqwoABA+Rltra2MDc3x7Fjx5o8Zq3S0lKIRCIOIyciInoNtWjSXd8iPI6OjoiKioJMJkNUVBTMzc2hoaEBMzMzfPzxx/J6jfXsAP/Xm5ScnIwuXbpAQ0OjyYv5DRs24LPPPsOgQYPQqVMnfPjhhxg0aBAWL14srzNw4EDMnz9fcOH9pKNHjyIoKAhubm6QSCSYMGECHBwccOLEieadIKLnJCUlBTo6OoLXl19+Kd8eEhKCpKQkeRJ6584dbNmyBePHj5fXuXLlCoyNjesMLc/Pz4ebmxvc3NyQn58vL3dwcMDEiRPRtWtXWFlZYd68ebCwsFD45lRCQgLu37+P9evXo2vXrvDw8MDy5cuxYcMG+Xzb+fPnY/r06fjkk09gbW0NZ2dn+SJijfH09IS2tja2b98uON7gwYPlPcQAYGVlhUWLFsHGxgY2NjYAgPDwcLi7u0MikcDDwwPz58/H5s2bBfuvqqrCypUr4eTkBFdXV/j5+SEjIwNr1qxBly5d4O3tDXd3dxw6dKjJWAsKCiCVSpGUlIR33nkHFhYWmDFjBt5++21IpVKoq6vLh4wbGBjAxMSkwbInRUdHw9/fH3PnzkXnzp3h4OCAiIiIeuPIyMjAiRMnkJSUhJ49e8LKygpff/01WrduLbh5UFNTg7i4OHTt2hXvvPMOAgMD5b3Ud+7cwTfffINFixYhKCgIFhYWePvttxEaGgoA8iHdO3fulO8vLi5Ovi4B8KhnPzg4GBKJBDKZrE6cZmZmuHLlivy9qakpzM3NGzy/RUVFUFdXr5MsGxsbo6ioqMF2j7t//z5mzZqFUaNGQU9PT6E2RERE9OpQa+kAGrJ161YsXboUiYmJsLOzQ1FRkWCYYlhYGM6fP4/ExESYmZlh+/bt8PLyQk5ODqysrAA86k1auHAhfvzxRxgaGjY5V7GyshKampqCMrFYXGdYbVNcXFyQnJyM8ePHw8zMDOnp6bh48SKWLl3a6LEf770pKytr1jGJ/gl3d3esXLlSUGZgYCD/edSoUZg6dSo2b96M8ePHY9OmTVBRUREMwb53716dv5/GlJeXIyoqCrt370ZhYSEePnyIe/fuKdzTfeHCBTg4OEBbW1te1rdvX9TU1CA3NxcikQjXr19H//79FY6plpqaGkaMGIH4+HgEBgbi7t272LlzJxITEwX1evToUadtamoqYmJi8Pvvv6OsrAwPHz7E/fv3UVFRIZ//rKWlBQsLC3kbY2NjSCQS6OjoCMqKi4ubjDUnJwfV1dWwtrYWlFdWVsLQ0LBZn/tJ2dnZ+OCDDxSqe/bsWZSXl9c55r179wTDuSUSieDGhampqfxzXrhwAZWVlQ3+zjQ1NREYGIi1a9dixIgROH36NH777bdmjSISi8WoqKiQv4+JiVG47dOoqqrCiBEjIJPJ6vyNERER0evhhU26CwoKYGJiggEDBqBVq1YwNzeXD2us7dkpKCiAmZkZAGDGjBnYt28fpFKpvIeuqqoKK1asgIODg0LH9PT0xJIlS+Dq6goLCwukpaVh27ZtCs+rrPXtt99iwoQJeOONN6CmpgYVFRWsXr0arq6uDbaJiYnB3Llzm3UcomdFW1u70WHXenp68PPzg1Qqxfjx4yGVSjFixAhBkmhkZIRbt24pfMwZM2bgwIED+Prrr2FpaQmxWAw/P79ntiCZWCz+R+0DAgLQr18/FBcX48CBAxCLxfDy8hLUeTzhBx716nt7e+PDDz9EdHQ0DAwMkJGRgZCQEDx48ECedNcuPFdLJBLVW6bI463Ky8uhqqqKrKwsqKqqCrY9/vt5Gs05h+Xl5TA1NRWMOKr1eC9xY59TkeOFhobC0dERf/75J6RSKTw8PNCxY0eF47x58ybatm2rcH0TExM8ePAAt2/fFnyOGzduwMTEpNG2tQn3lStXcPDgQfZyExERvaZe2Dndw4cPx71799CpUyd88MEH2L59Ox4+fAhA2LPz+HDYw4cPC3pU1NXV0a1bN4WP+c0338DKygq2trZQV1dHWFjYU63E/O233+L48eNITk5GVlYWFi9ejMmTJze6SFRERARKS0vlr6tXrzbrmETKFhISgoyMDKSkpODo0aPyBdRqOTk5oaioSOHEOzMzE8HBwfD19YW9vT1MTEwEw8+b0rlzZ5w9exZ3794V7FNFRQU2NjbQ1dWFRCJRaIGt+ri4uKBDhw7YtGkT4uPjMXz48DoJ45OysrJQU1ODxYsXo3fv3rC2tq7zmKhnzcnJCdXV1SguLoalpaXg1VRS2JRu3bopfP66d++OoqIiqKmp1YnDyMhIoX1YWVlBLBY3ekx7e3v07NkTq1evRkJCgmCKQ1Pu37+PvLw8ODk5KdymR48eaNWqlSCm3NxcFBQUoE+fPg22q024L126hNTU1H886oCIiIheXi3a062iolJnzl3t8347dOiA3NxcpKam4sCBA/joo4/w1Vdf4fDhwwr37IjFYsFzWpvStm1b7NixA/fv38fff/8NMzMzfPrpp+jUqZPC+7h37x4+++wzbN++He+99x6ARxeu2dnZ+PrrrwWL8TxOQ0MDGhoaCh+H6FmqrKysMz9VTU1NkCy5urrC0tISY8eOha2tbZ2Ft5ycnGBkZITMzEx4e3s3eUwrKyts27YNPj4+EIlEiIyMVKhnt1ZAQADmzJmDoKAgREVFoaSkBFOmTEFgYKB84a2oqChMmjQJ7dq1w8CBA3Hnzh1kZmZiypQpCh1j9OjRWLVqFS5evKjQ/GpLS0tUVVXh22+/hY+Pj2CBNWWxtrZGQEAAxo4di8WLF8PJyQklJSVIS0tDt27d5P+HnsacOXPQv39/WFhYwN/fHw8fPsSePXswa9asOnUHDBiAPn36YOjQoVi0aJH8hkPtYmw9e/Zs8niampqYNWsWZs6cCXV1dfTt2xclJSU4d+6c4CZPaGgowsLCoK2t3ej6Gk86fvw4NDQ0BMlyREQErl27Jl+V/kn6+voICQnBtGnTYGBgAD09PUyZMgV9+vRB79695fVsbW0RExMDX19fVFVVwc/PD6dPn0ZKSgqqq6vlf18GBgby+fMFBQW4efMmCgoKUF1djezsbACPvkf/dJQCERERvThatKe7bdu2KCwslL8vKyvD5cuX5e/FYjF8fHwQGxuL9PR0HDt2DDk5OUrt2QEeXfi1b98eDx8+xNatWzFkyBCF21ZVVaGqqqpO77iqqmqzEgqi52nfvn0wNTUVvN5++21BHZFIhPHjx+PWrVv19i6qqqpi3LhxiI+PV+iYS5YsQZs2beDi4gIfHx94enqie/fuCsespaWF/fv34+bNm3B2doafnx/69++P5cuXy+sEBQVh2bJlWLFiBezs7ODt7Y1Lly4pfIyAgACcP38e7du3R9++fZus7+DggCVLlmDhwoXo2rUr4uPjlT5nGHi0kvzYsWMxffp02NjYYOjQoTh58mSjC4Qpws3NDUlJSUhOToajoyM8PDwaXBBSJBJhz549cHV1xbhx42BtbQ1/f3/5AnuKioyMxPTp0zF79mx07twZI0eOrDO3fdSoUVBTU8OoUaOatY7Axo0bERAQIHi2eGFhYZPrCCxduhTe3t4YNmwYXF1dYWJigm3btgnq5ObmorS0FABw7do1JCcn488//4Sjo6Pg7+ro0aPyNrNnz4aTkxPmzJmD8vJyODk5wcnJCadOnVL4MxEREdGLTySrb3nX5yQiIgJxcXHYvHkzWrdujdmzZyM1NRXTp0+HRCJBdXU1evXqBS0tLUilUixevBhXr16FoaEhxowZg8zMzAZ7duLi4hAeHo7bt28rHM8vv/yCa9euwdHREdeuXUNUVBQuX76M06dPy+fylZeX43//+x+ARz17S5Ysgbu7OwwMDOQXuG5ubvjrr7+wfPlydOzYEYcPH8aHH36IJUuW4MMPP1QolrKyMujr60Oadhpa7PGgJ4x4y6qlQ6hXUVER7OzscPr06WbNsyVqjvz8fFhYWODkyZMK36j566+/YGNjg1OnTuHNN99UcoRERET0OqjN2UpLSxtdu6VFh5dHRETg8uXL8Pb2hr6+PubNmyfv6W7dujUWLFiAadOmobq6Gvb29ti1a5d8XpxUKpU/DujatWswMjJC7969FRrW2pD79+/j888/xx9//AEdHR0MGjQIGzZsECyec+rUKbi7u8vfT5s2DcCjHrW4uDgAQGJiIiIiIhAQEICbN2+iY8eOiI6OxqRJk546NqKXgYmJCdasWYOCggIm3fTMVVVV4e+//8bnn3+O3r17N2tkRH5+PlasWMGEm4iIiJ67Fu3ppoaxp5sa86L2dL8s4uPjMXHixHq3dezYEefOnXvOETXsyJEjGDhwYIPba5+d/jpIT0+Hu7s7rK2tsWXLFtjb27d0SERERPQaeyl6uomIWsLgwYPRq1everc1tUL589azZ0/5AluvOzc3tzqLbxIRERG96F6rpLux1WD37t2Ld9555zlGQ0QtRVdXF7q6ui0dhkLEYnGjz1AnIiIiohfba5V0N9Zb1L59++cXCBEREREREb0WXqukm71FRERERERE9Dy16HO6iYiIiIiIiF5lTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJGotHQA17v2eFtDT02vpMIiIiIiIiOgpsKebiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESsKkm4iIiIiIiEhJ1Fo6AGrcL5duQFunoqXDoBeMi41JS4dAREREREQKYE83ERERERERkZIw6SYiIiIiIiJSEibdRERERERERErCpJuIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuInpmXF1dkZCQ8Ez2JZFIsGzZMvl7kUiEHTt2PJN9v2527NgBS0tLqKqqIjw8vN6yuLg4tG7dWuF9Pvn7eZHt27cPjo6OqKmpaelQiIiI6DXEpJvoNRYcHAyRSFTn5eXlhQcPHsDIyAgLFiyot+28efNgbGyMqqoqAEBycjJu3LgBf39/eR2JRIL09HSkp6dDIpE8j49E9Zg4cSL8/Pxw9epVzJs3r96ykSNH4uLFiwrv8+TJk5gwYYKyQn4qbm5uiIuLQ35+PkQikbzcy8sLrVq1Qnx8fLP3ef/+fUyePBmGhobQ0dHBsGHDcOPGjUbbyGQyzJ49G6amphCLxRgwYAAuXbokqDN48GCYm5tDU1MTpqamCAwMxPXr15sdHxEREb34mHQ3IDExESKRCEOHDhWUb9u2Df/6179gaGgIkUiE7OzsOm1/+OEHuLm5QU9PDyKRCLdv334uMRM9DS8vLxQWFgpeGzduhLq6OsaMGQOpVFqnjUwmQ1xcHMaOHYtWrVoBAGJjYzFu3DioqLx+/1YePHjQ0iE0qLy8HMXFxfD09ISZmRl0dXXrLROLxWjXrp3C+23bti20tLSUGPmzFRwcjNjY2Ga3mzp1Knbt2oWkpCQcPnwY169fx/vvv99om0WLFiE2NharVq3CL7/8Am1tbXh6euL+/fvyOu7u7ti8eTNyc3OxdetW5OXlwc/Pr9nxERER0Yvvtbk6rq6uVnhoYX5+PmbMmIF33nmnzra7d+/i7bffxsKFCxtsX1FRAS8vL3z22WdPHS/R86KhoQETExPBq02bNgCAkJAQXLx4ERkZGYI2hw8fxh9//IGQkBAAQElJCQ4ePAgfHx+FjpmXl4chQ4bA2NgYOjo6cHZ2RmpqarPizsnJgYeHB8RiMQwNDTFhwgSUl5cL6qxduxZ2dnbQ0NCAqakpwsLCmtzv6NGjMXLkSEFZVVUVjIyMsH79egCPelTDwsIQHh4OIyMjeHp6AgCWLFkCe3t7aGtro0OHDvjoo48EMdUO4U5JSYGNjQ20tLTg5+eHiooKrFu3DhKJBG3atMHHH3+M6upqhc5DZWUlZsyYgfbt20NbWxu9evVCeno6ACA9PR26uroAAA8PD4hEogbL6htevmvXLjg7O0NTUxNGRkbw9fWVb3tyePnt27cRGhqKtm3bQk9PDx4eHjh79qx8e1RUFBwdHbFhwwZIJBLo6+vD398fd+7ckdepqanBokWLYGlpCQ0NDZibmyM6Oloe65O/v5KSEqirqyMtLa3J8+Tj44NTp04hLy+v6ZP6/5WWlmLNmjVYsmQJPDw80KNHD0ilUhw9ehTHjx+vt41MJsOyZcvw+eefY8iQIejWrRvWr1+P69evC6ZHTJ06Fb1790bHjh3h4uKCTz/9FMePH5ePHCEiIqJXR4sm3fXNCXR0dERUVBRkMhmioqJgbm4ODQ0NmJmZ4eOPP5bXa+xCE/i/i9vk5GR06dIFGhoaKCgoaDKm6upqBAQEYO7cuejUqVOd7YGBgZg9ezYGDBjQ4D7Cw8Px6aefonfv3k2fBKIXmL29PZydnbF27VpBuVQqhYuLC2xtbQEAGRkZ0NLSQufOnRXab3l5OQYNGoS0tDScOXMGXl5e8PHxUehvFHh088vT0xNt2rTByZMnkZSUhNTUVEFStnLlSkyePBkTJkxATk4OkpOTYWlp2eS+AwICsGvXLkGyvH//flRUVAiSznXr1kFdXR2ZmZlYtWoVAEBFRQWxsbE4d+4c1q1bh4MHD2LmzJmC/VdUVCA2NhaJiYnYt28f0tPT4evriz179mDPnj3YsGEDvv/+e2zZskWhcxEWFoZjx44hMTERv/76K4YPHw4vLy9cunQJLi4uyM3NBQBs3boVhYWFDZY9affu3fD19cWgQYNw5swZpKWl4a233mowjuHDh6O4uBh79+5FVlYWunfvjv79++PmzZvyOnl5edixYwdSUlKQkpKCw4cPC6YvREREYMGCBYiMjMT58+eRkJAAY2NjAEBoaCgSEhJQWVkpr//TTz+hffv28PDwaPI8mZubw9jYGEeOHJGXBQcHw83NrcE2WVlZqKqqEvy/t7W1hbm5OY4dO1Zvm8uXL6OoqEjQRl9fH7169Wqwzc2bNxEfHw8XFxf5yBEiIiJ6dai1dAAN2bp1K5YuXYrExETY2dmhqKhI0GsSFhaG8+fPIzExEWZmZti+fTu8vLyQk5MDKysrAI8ubhcuXIgff/wRhoaGCg2d/OKLL9CuXTuEhIQILs6IXlUpKSnQ0dERlH322WfykRohISGYMWMGYmNjoaOjgzt37mDLli2CobpXrlyBsbFxnaHl+fn59f7s4OAABwcH+ft58+Zh+/btSE5OVqg3OiEhAffv38f69euhra0NAFi+fDl8fHywcOFCGBsbY/78+Zg+fTo++eQTeTtnZ+cm9+3p6QltbW1s374dgYGB8uMNHjxY3kMMAFZWVli0aJGgbe0iZcCjm4rz58/HpEmTsGLFCnl5VVUVVq5cCQsLCwCAn58fNmzYgBs3bkBHRwddunSBu7s7Dh06VKfH/UkFBQWQSqUoKCiAmZkZAGDGjBnYt28fpFIpvvzyS/n/PQMDA5iYmABAvWVPio6Ohr+/P+bOnSsve/x39riMjAycOHECxcXF0NDQAAB8/fXX2LFjB7Zs2SKf+11TU4O4uDj5eQwMDERaWhqio6Nx584dfPPNN1i+fDmCgoIAABYWFnj77bcBAO+//z7CwsKwc+dOjBgxAsCjm6u16xIAENx4lclkdeI0MzPDlStX5O9NTU0bHQFVVFQEdXX1OiMAjI2NUVRU1GCb2jpNtZk1axaWL1+OiooK9O7dGykpKQ3GQkRERC+vFzbpLigogImJCQYMGIBWrVrB3Nxc3suiyIUm8OjidsWKFQ1eKD4pIyMDa9asqXeetrJVVlYKenDKysqeewz0enJ3d8fKlSsFZQYGBvKfR40ahalTp2Lz5s0YP348Nm3aBBUVFUFCeO/ePWhqaip8zPLyckRFRWH37t0oLCzEw4cPce/ePYV7ui9cuAAHBwd5wg0Affv2RU1NDXJzcyESiXD9+nX0799f4ZhqqampYcSIEYiPj0dgYCDu3r2LnTt3IjExUVCvR48eddqmpqYiJiYGv//+O8rKyvDw4UPcv38fFRUV8vnPWlpa8oQbeJSMSSQSwY0PY2NjFBcXNxlrTk4OqqurYW1tLSivrKyEoaFhsz73k7Kzs/HBBx8oVPfs2bMoLy+vc8x79+4JhnNLJBLBjQtTU1P557xw4QIqKysb/J1pamoiMDAQa9euxYgRI3D69Gn89ttvSE5OVvgzicViVFRUyN/HxMQo3FYZ/v3vfyMkJARXrlzB3LlzMXbsWKSkpAgWgSMiIqKX3wubdA8fPhzLli1Dp06d4OXlhUGDBsHHxwdqamoKX2iqq6ujW7duCh3vzp07CAwMxOrVq2FkZPRMP4siYmJiBD1KRM+LtrZ2o8Ou9fT04OfnB6lUivHjx0MqlWLEiBGCJNHIyAi3bt1S+JgzZszAgQMH8PXXX8PS0hJisRh+fn7PbEEysVj8j9oHBASgX79+KC4uxoEDByAWi+Hl5SWo83jCDzzqyff29saHH36I6OhoGBgYICMjAyEhIXjw4IE86X5y+LBIJKq3TJE1KMrLy6GqqoqsrCyoqqoKtj05eqG5mnMOy8vLYWpqKuhprvV4L3Fjn1OR44WGhsLR0RF//vknpFIpPDw80LFjR4XjvHnzJtq2batwfRMTEzx48AC3b98WfI4bN240OEKgtvzGjRswNTUVtHF0dBTUNTIygpGREaytrdG5c2d06NABx48fR58+fRSOkYiIiF58LTqnW0VFpc4QwNpFZDp06IDc3FysWLECYrEYH330EVxdXVFVVSW40MzOzpa/Lly4gG+++Ua+L7FYrHCPQV5eHvLz8+WJvZqaGtavX4/k5GSoqak1a/GdpxEREYHS0lL56+rVq0o9HlFzhISEICMjAykpKTh69Kh8AbVaTk5OKCoqUjjxzszMRHBwMHx9fWFvbw8TExPB8POmdO7cGWfPnsXdu3cF+1RRUYGNjQ10dXUhkUgUWmCrPi4uLujQoQM2bdqE+Ph4DB8+vMm5tllZWaipqcHixYvRu3dvWFtbK/0RUE5OTqiurkZxcTEsLS0Fr4aSQkV169ZN4fPXvXt3FBUVQU1NrU4cit7EtLKyglgsbvSY9vb26NmzJ1avXo2EhASMHz9eoX0Djx79lZeXBycnJ4Xb9OjRA61atRLElJubi4KCggYT4zfffBMmJiaCNmVlZfjll18aTaZrbz48PuKJiIiIXg0t2tPdtm1bFBYWyt+XlZXh8uXL8vdisRg+Pj7w8fHB5MmTYWtri5ycHMGFZn0rjD+N2n0/7vPPP5fPM+zQocMzOU5DNDQ05HMhiZ6nysrKOnNN1dTUBMmSq6srLC0tMXbsWNja2tZZeMvJyQlGRkbIzMyEt7d3k8e0srLCtm3b4OPjA5FIhMjISIWfLgA86omeM2cOgoKCEBUVhZKSEkyZMgWBgYHyubRRUVGYNGkS2rVrh4EDB+LOnTvIzMzElClTFDrG6NGjsWrVKly8eBGHDh1qsr6lpSWqqqrw7bffwsfHR7DAmrJYW1sjICAAY8eOxeLFi+Hk5ISSkhKkpaWhW7dueO+9955633PmzEH//v1hYWEBf39/PHz4EHv27MGsWbPq1B0wYAD69OmDoUOHYtGiRfIbDrWLsfXs2bPJ42lqamLWrFmYOXMm1NXV0bdvX5SUlODcuXOCmzyhoaEICwuDtra2YGG7phw/fhwaGhqCxDciIgLXrl2Tr0r/JH19fYSEhGDatGkwMDCAnp4epkyZgj59+ggWyrS1tUVMTAx8fX0hEokQHh6O+fPnw8rKCm+++SYiIyNhZmYmfwTlL7/8gpMnT+Ltt99GmzZtkJeXh8jISFhYWLCXm4iI6BXUoj3dHh4e2LBhA44cOYKcnBwEBQXJh0jGxcVhzZo1+O233/DHH3/gp59+glgsRseOHQUXmtu2bcPly5dx4sQJxMTEYPfu3U8Vi6amJrp27Sp4tW7dGrq6uujatSvU1dUBPBqemJ2djfPnzwN41OuRnZ0tSFqKioqQnZ2N//3vfwAezbvMzs4WrOJL9KLYt28fTE1NBa/axatqiUQijB8/Hrdu3aq3d1FVVRXjxo1DfHy8QsdcsmQJ2rRpAxcXF/j4+MDT0xPdu3dXOGYtLS3s378fN2/ehLOzM/z8/NC/f38sX75cXicoKAjLli3DihUrYGdnB29vb1y6dEnhYwQEBOD8+fNo3749+vbt22R9BwcHLFmyBAsXLkTXrl0RHx//XOYMS6VSjB07FtOnT4eNjQ2GDh2KkydPwtzc/B/t183NDUlJSUhOToajoyM8PDxw4sSJeuuKRCLs2bMHrq6uGDduHKytreHv7y9fYE9RkZGRmD59OmbPno3OnTtj5MiRdea2jxo1Cmpqahg1alSz1hHYuHEjAgICBM8WLywsbHIdgaVLl8Lb2xvDhg2Dq6srTExMsG3bNkGd3NxclJaWyt/PnDkTU6ZMwYQJE+Ds7Izy8nLs27dPHq+Wlha2bduG/v37w8bGBiEhIejWrRsOHz7Mm69ERESvIJGsviVen5OysjJMmDABe/fuhb6+PubNm4elS5di6NChcHR0xIIFC3DhwgVUV1fD3t4e8+fPly+yU1VVhfnz52P9+vW4du0ajIyM0Lt3b8ydOxf29vaIi4tDeHg4bt++/dTxBQcH4/bt24Jnq8bFxWHcuHF16s6ZMwdRUVEAHvWw1Tc/WyqVIjg4WKFjl5WVQV9fHz+fughtHd2mG9BrxcXmnw0dVoaioiLY2dnh9OnTzZpnS9Qc+fn5sLCwwMmTJxW+UfPXX3/BxsYGp06dwptvvqnkCImIiOh1UZuzlZaWQk9Pr8F6LZp0U8OYdFNjXsSkGwB27NgBQ0PDZzbtg6hWVVUV/v77b8yYMQOXL19GZmamwm1PnTqFvLy8Jh/BRkRERNQciibdL+zq5UT08qmds/oii4+Px8SJE+vd1rFjR5w7d+45R9SwI0eOYODAgQ1uLy8vf47RtKzMzEy4u7vD2toaW7ZsaVbbnj17KjSvnIiIiEgZXquku7FH6Ozdu5e9c0SvgcGDB6NXr171bmtqhfLnrWfPnsjOzm7pMF4Ibm5udZ52QURERPQyeK2S7sYuXtu3b//8AiGiFqOrqwtd3ZdjyoZYLG70GepERERE9OJ7rZJuXrwSERERERHR89SijwwjIiIiIiIiepUx6SYiIiIiIiJSEibdRERERERERErCpJuIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhK1lg6AGtfLyhh6enotHQYRERERERE9BfZ0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpiVpLB0CNu3j9NnTu1LR0GPQCsG3fuqVDICIiIiKiZmJPNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESsKkm4iIiIiIiEhJmHQT0T/i6uqKhISEZ7IviUSCZcuWyd+LRCLs2LHjmez7dbNjxw5YWlpCVVUV4eHh9ZbFxcWhdevWCu/zyd/Pi2zfvn1wdHRETU1NS4dCRERErzkm3USvmeDgYIhEojovLy8vPHjwAEZGRliwYEG9befNmwdjY2NUVVUBAJKTk3Hjxg34+/vL60gkEqSnpyM9PR0SieR5fCSqx8SJE+Hn54erV69i3rx59ZaNHDkSFy9eVHifJ0+exIQJE5QV8lNxc3NDXFwc8vPzIRKJ5OVeXl5o1aoV4uPjm73P+/fvY/LkyTA0NISOjg6GDRuGGzduNNnuwoULGDx4MPT19aGtrQ1nZ2cUFBTUqSeTyTBw4EDeVCIiInpNMOkmeg15eXmhsLBQ8Nq4cSPU1dUxZswYSKXSOm1kMhni4uIwduxYtGrVCgAQGxuLcePGQUXl9ftX8uDBg5YOoUHl5eUoLi6Gp6cnzMzMoKurW2+ZWCxGu3btFN5v27ZtoaWlpcTIn63g4GDExsY2u93UqVOxa9cuJCUl4fDhw7h+/Tref//9Rtvk5eXh7bffhq2tLdLT0/Hrr78iMjISmpqadeouW7ZMcIOAiIiIXm2v35WyghITEyESiTB06FBBeVRUFGxtbaGtrY02bdpgwIAB+OWXXwR1Bg8eDHNzc2hqasLU1BSBgYG4fv36c4yeqHEaGhowMTERvNq0aQMACAkJwcWLF5GRkSFoc/jwYfzxxx8ICQkBAJSUlODgwYPw8fFR6Jh5eXkYMmQIjI2NoaOjA2dnZ6SmpjYr7pycHHh4eEAsFsPQ0BATJkxAeXm5oM7atWthZ2cHDQ0NmJqaIiwsrMn9jh49GiNHjhSUVVVVwcjICOvXrwfwqEc1LCwM4eHhMDIygqenJwBgyZIlsLe3h7a2Njp06ICPPvpIEFPtEO6UlBTY2NhAS0sLfn5+qKiowLp16yCRSNCmTRt8/PHHqK6uVug8VFZWYsaMGWjfvj20tbXRq1cvpKenAwDS09Ohq6sLAPDw8IBIJGqwrL7h5bt27YKzszM0NTVhZGQEX19f+bYnh5ffvn0boaGhaNu2LfT09ODh4YGzZ8/Kt0dFRcHR0REbNmyARCKBvr4+/P39cefOHXmdmpoaLFq0CJaWltDQ0IC5uTmio6PlsT75+yspKYG6ujrS0tKaPE8+Pj44deoU8vLymj6p/19paSnWrFmDJUuWwMPDAz169IBUKsXRo0dx/PjxBtv95z//waBBg7Bo0SI4OTnBwsICgwcPrnNTIzs7G4sXL8batWsVjomIiIhebq9N0l1dXa3w3L78/HzMmDED77zzTp1t1tbWWL58OXJycpCRkQGJRIJ//etfKCkpkddxd3fH5s2bkZubi61btyIvLw9+fn7P7LMQKZO9vT2cnZ3rJAVSqRQuLi6wtbUFAGRkZEBLSwudO3dWaL/l5eUYNGgQ0tLScObMGXh5ecHHx6fe4bf1uXv3Ljw9PdGmTRucPHkSSUlJSE1NFSRlK1euxOTJkzFhwgTk5OQgOTkZlpaWTe47ICAAu3btEiTL+/fvR0VFhSDpXLduHdTV1ZGZmYlVq1YBAFRUVBAbG4tz585h3bp1OHjwIGbOnCnYf0VFBWJjY5GYmIh9+/YhPT0dvr6+2LNnD/bs2YMNGzbg+++/x5YtWxQ6F2FhYTh27BgSExPx66+/Yvjw4fDy8sKlS5fg4uKC3NxcAMDWrVtRWFjYYNmTdu/eDV9fXwwaNAhnzpxBWloa3nrrrQbjGD58OIqLi7F3715kZWWhe/fu6N+/P27evCmvk5eXhx07diAlJQUpKSk4fPiwYPpCREQEFixYgMjISJw/fx4JCQkwNjYGAISGhiIhIQGVlZXy+j/99BPat28PDw+PJs+Tubk5jI2NceTIEXlZcHAw3NzcGmyTlZWFqqoqDBgwQF5ma2sLc3NzHDt2rN42NTU12L17N6ytreHp6Yl27dqhV69edYaOV1RUYPTo0fjuu+9gYmLSZPxERET0amjRpLu+RXkcHR0RFRUFmUyGqKgomJubQ0NDA2ZmZvj444/l9Rrr6QH+r3cpOTkZXbp0gYaGhkIX99XV1QgICMDcuXPRqVOnOttHjx6NAQMGoFOnTrCzs8OSJUtQVlaGX3/9VV5n6tSp6N27Nzp27AgXFxd8+umnOH78uHweLFFLS0lJgY6OjuD15ZdfyreHhIQgKSlJnoTeuXMHW7Zswfjx4+V1rly5AmNj4zpDy/Pz8+Hm5gY3Nzfk5+fLyx0cHDBx4kR07doVVlZWmDdvHiwsLJCcnKxQzAkJCbh//z7Wr1+Prl27wsPDA8uXL8eGDRvk823nz5+P6dOn45NPPoG1tTWcnZ3li4g1xtPTE9ra2ti+fbvgeIMHD5b3EAOAlZUVFi1aBBsbG9jY2AAAwsPD4e7uDolEAg8PD8yfPx+bN28W7L+qqgorV66Ek5MTXF1d4efnh4yMDKxZswZdunSBt7c33N3dcejQoSZjLSgogFQqRVJSEt555x1YWFhgxowZePvttyGVSqGuri7vXTUwMICJiUmDZU+Kjo6Gv78/5s6di86dO8PBwQERERH1xpGRkYETJ04gKSkJPXv2hJWVFb7++mu0bt1acPOgpqYGcXFx6Nq1K9555x0EBgbKe6nv3LmDb775BosWLUJQUBAsLCzw9ttvIzQ0FADkQ7p37twp319cXJx8XQLgUc9+cHAwJBIJZDJZnTjNzMxw5coV+XtTU1OYm5s3eH6Lioqgrq5eZwSAsbExioqK6m1TXFyM8vJyLFiwAF5eXvj555/h6+uL999/H4cPH5bXmzp1KlxcXDBkyJAGj09ERESvHrWWDqAhW7duxdKlS5GYmAg7OzsUFRUJhi2GhYXh/PnzSExMhJmZGbZv3w4vLy/k5OTAysoKwKNehYULF+LHH3+EoaGhQnMXv/jiC7Rr1w4hISGC3pH6PHjwAD/88AP09fXh4OBQb52bN28iPj4eLi4u8nmw9amsrBT05pSVlTUZK9HTcnd3x8qVKwVlBgYG8p9HjRqFqVOnYvPmzRg/fjw2bdoEFRUVwRDse/fu1TtftSHl5eWIiorC7t27UVhYiIcPH+LevXsK93RfuHABDg4O0NbWlpf17dsXNTU1yM3NhUgkwvXr19G/f3+FY6qlpqaGESNGID4+HoGBgbh79y527tyJxMREQb0ePXrUaZuamoqYmBj8/vvvKCsrw8OHD3H//n1UVFTI5z9raWnBwsJC3sbY2BgSiQQ6OjqCsuLi4iZjzcnJQXV1NaytrQXllZWVMDQ0bNbnflJ2djY++OADheqePXsW5eXldY557949wXBuiUQiuHFhamoq/5wXLlxAZWVlg78zTU1NBAYGYu3atRgxYgROnz6N3377TeEbNQAgFotRUVEhfx8TE6NwW0XVjqIaMmQIpk6dCuDRDeSjR49i1apV6NevH5KTk3Hw4EGcOXPmmR+fiIiIXmwvbNJdUFAAExMTDBgwAK1atYK5ubl8mGNtT09BQQHMzMwAADNmzMC+ffsglUrlPXZVVVVYsWJFgwnxk2p7nrKzsxutl5KSAn9/f1RUVMDU1BQHDhyAkZGRoM6sWbOwfPlyVFRUoHfv3khJSWl0nzExMZg7d65CcRL9U9ra2o0Ou9bT04Ofnx+kUinGjx8PqVSKESNGCJJEIyMj3Lp1S+FjzpgxAwcOHMDXX38NS0tLiMVi+Pn5PbMFycRi8T9qHxAQgH79+qG4uBgHDhyAWCyGl5eXoM7jCT/wqFff29sbH374IaKjo2FgYICMjAyEhITgwYMH8qT7yRtuIpGo3jJFpsCUl5dDVVUVWVlZUFVVFWx7/PfzNJpzDsvLy2FqaioYYVTr8V7ixj6nIscLDQ2Fo6Mj/vzzT0ilUnh4eKBjx44Kx3nz5k20bdtW4fomJiZ48OABbt++LfgcN27caHBIuJGREdTU1NClSxdBeefOneVrIxw8eBB5eXl1etCHDRuGd955p97zSERERK+GF3ZO9/Dhw3Hv3j106tQJH3zwAbZv346HDx8CEPb0PD489vDhw4IeFnV1dXTr1k2h4925cweBgYFYvXp1nQT6Se7u7sjOzsbRo0fh5eWFESNG1Omh+ve//40zZ87g559/hqqqKsaOHVvv0MdaERERKC0tlb+uXr2qUNxEyhISEoKMjAykpKTg6NGj8gXUajk5OaGoqEjhxDszMxPBwcHw9fWFvb09TExMBMPPm9K5c2ecPXsWd+/eFexTRUUFNjY20NXVhUQiUWiBrfq4uLigQ4cO2LRpE+Lj4zF8+PBGR6cAj+b/1tTUYPHixejduzesra2Vvmiik5MTqqurUVxcDEtLS8Hrn84T7tatm8Lnr3v37igqKoKamlqdOJr6H1rLysoKYrG40WPa29ujZ8+eWL16NRISEgRTHJpy//595OXlwcnJSeE2PXr0QKtWrQQx5ebmoqCgAH369Km3jbq6OpydneXz5mtdvHhRfoPg008/xa+//ors7Gz5CwCWLl1a79MCiIiI6NXRoj3dKioqdRLR2nnPHTp0QG5uLlJTU3HgwAF89NFH+Oqrr3D48GGFe3rEYrHCj2XJy8tDfn6+YCXm2t4YNTU15ObmyoeH1vYSWlpaonfv3rCyssKaNWsEcx+NjIxgZGQEa2trdO7cGR06dMDx48cbvGjT0NCAhoaGQrES/VOVlZV15qeqqakJkiVXV1dYWlpi7NixsLW1rbPwlpOTE4yMjJCZmQlvb+8mj2llZYVt27bBx8cHIpEIkZGRCi9uCDzqiZ4zZw6CgoIQFRWFkpISTJkyBYGBgfKFt6KiojBp0iS0a9cOAwcOxJ07d5CZmYkpU6YodIzRo0dj1apVuHjxokLzqy0tLVFVVYVvv/0WPj4+ggXWlMXa2hoBAQEYO3YsFi9eDCcnJ5SUlCAtLQ3dunXDe++999T7njNnDvr37w8LCwv4+/vj4cOH2LNnD2bNmlWn7oABA9CnTx8MHToUixYtkt9wqF2MrWfPnk0eT1NTE7NmzcLMmTOhrq6Ovn37oqSkBOfOnRPc5AkNDUVYWBi0tbUFC9s15fjx49DQ0BD8342IiMC1a9fkq9I/SV9fHyEhIZg2bRoMDAygp6eHKVOmoE+fPujdu7e8nq2tLWJiYuTx/Pvf/8bIkSPh6uoKd3d37Nu3D7t27ZL3YNc+JeBJ5ubmePPNNxX+TERERPTyadGe7rZt26KwsFD+vqysDJcvX5a/F4vF8PHxQWxsLNLT03Hs2DHk5OQopafH1tYWOTk5gl6IwYMHy3u1O3To0GDbmpoawXzs+rYDaLQO0fO0b98+mJqaCl5vv/22oI5IJML48eNx69atensXVVVVMW7cOMTHxyt0zCVLlqBNmzZwcXGBj48PPD090b17d4Vj1tLSwv79+3Hz5k04OzvDz88P/fv3x/Lly+V1goKCsGzZMqxYsQJ2dnbw9vbGpUuXFD5GQEAAzp8/j/bt26Nv375N1ndwcMCSJUuwcOFCdO3aFfHx8UqZM/wkqVSKsWPHYvr06bCxscHQoUNx8uTJRhcIU4SbmxuSkpKQnJwMR0dHeHh44MSJE/XWFYlE2LNnD1xdXTFu3DhYW1vD399fvsCeoiIjIzF9+nTMnj0bnTt3xsiRI+uMHBo1ahTU1NQwatSoZq0jsHHjRgQEBAieLV5YWNjkOgJLly6Ft7c3hg0bBldXV5iYmGDbtm2COrm5uSgtLZW/9/X1xapVq7Bo0SLY29vjxx9/xNatW+v8XREREdHrRyRrbMyzkkVERCAuLg6bN29G69atMXv2bKSmpmL69OmQSCSorq5Gr169oKWlBalUisWLF+Pq1aswNDTEmDFjkJmZ2WBPT1xcHMLDw3H79u2nji84OBi3b9+WP/bl7t27iI6OxuDBg2Fqaoq//voL3333HRISEpCVlQU7Ozv88ssvOHnyJN5++220adMGeXl5iIyMxI0bN3Du3DmFe7PLysqgr6+PkxeuQEdX76k/A706bNu3bukQ6igqKoKdnR1Onz7drHm2RM2Rn58PCwsLnDx5UuEbNX/99RdsbGxw6tQp9iQTERGRUtTmbKWlpdDTazhna9Ge7oiICPTr1w/e3t547733MHToUPkQ7tatW2P16tXo27cvunXrhtTUVOzatUu+Uq6yenoao6qqit9//x3Dhg2DtbU1fHx88Pfff+PIkSOws7MD8Kg3btu2bejfvz9sbGwQEhKCbt264fDhwxw+Tq8cExMTrFmzRuEVyImao6qqCkVFRfj888/Ru3fvZo2MyM/Px4oVK5hwExERUYtr0Z5uahh7uulJL2JP98siPj4eEydOrHdbx44dce7cueccUcOOHDmCgQMHNri99tnpr4P09HS4u7vD2toaW7Zsgb29fUuHRERERCSnaE/3C/vIMCKiZ2Xw4MHo1atXvduaWqH8eevZs2eTjy18Xbi5uTX61AciIiKil8FrlXQ39gzbvXv34p133nmO0RDR86KrqwtdXd2WDkMhYrG40WeoExEREdHL5bVKuhvrPWrfvv3zC4SIiIiIiIheC69V0s3eIyIiIiIiInqeWnT1ciIiIiIiIqJXGZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESsKkm4iIiIiIiEhJmHQTERERERERKYlaSwdAjbM2aw09Pb2WDoOIiIiIiIieAnu6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESsKkm4iIiIiIiEhJmHQTERERERERKQmTbiIiIiIiIiIlYdJNREREREREpCRMuomIiIiIiIiURK2lA6DG3bh9HxU16i0dBr0ATFprtnQIRERERETUTOzpJiIiIiIiIlISJt1ERERERERESsKkm4iIiIiIiEhJmHQTERERERERKQmTbiIiIiIiIiIlYdJNREREREREpCRMuomIiIiIiIiUhEk3ERERERERkZIw6SYiIiIiIiJSEibdRERERERERErCpJuIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJWHSTUT/iKurKxISEp7JviQSCZYtWyZ/LxKJsGPHjmey79fNjh07YGlpCVVVVYSHh9dbFhcXh9atWyu8zyd/Py+yffv2wdHRETU1NS0dChEREb3mmHQTvWaCg4MhEonqvLy8vPDgwQMYGRlhwYIF9badN28ejI2NUVVVBQBITk7GjRs34O/vL68jkUiQnp6O9PR0SCSS5/GRqB4TJ06En58frl69innz5tVbNnLkSFy8eFHhfZ48eRITJkxQVshPxc3NDXFxccjPz4dIJJKXe3l5oVWrVoiPj2/2Pu/fv4/JkyfD0NAQOjo6GDZsGG7cuNFg/aqqKsyaNQv29vbQ1taGmZkZxo4di+vXrwvqSSSSOn93Df2tERER0auDSfdjVq9ejXfeeQdt2rRBmzZtMGDAAJw4cUJQp75kRSQS4auvvgIApKenN1jn5MmTLfGxiOrw8vJCYWGh4LVx40aoq6tjzJgxkEqlddrIZDLExcVh7NixaNWqFQAgNjYW48aNg4rK6/ev5MGDBy0dQoPKy8tRXFwMT09PmJmZQVdXt94ysViMdu3aKbzftm3bQktLS4mRP1vBwcGIjY1tdrupU6di165dSEpKwuHDh3H9+nW8//77DdavqKjA6dOnERkZidOnT2Pbtm3Izc3F4MGD69T94osvBH93U6ZMaXZ8RERE9HJ5ba6Uq6urmxxmmJ6ejlGjRuHQoUM4duwYOnTogH/961+4du2avM6TicratWshEokwbNgwAICLi0udOqGhoXjzzTfRs2dPpX5GIkVpaGjAxMRE8GrTpg0AICQkBBcvXkRGRoagzeHDh/HHH38gJCQEAFBSUoKDBw/Cx8dHoWPm5eVhyJAhMDY2ho6ODpydnZGamtqsuHNycuDh4QGxWAxDQ0NMmDAB5eXlgjpr166FnZ0dNDQ0YGpqirCwsCb3O3r0aIwcOVJQVlVVBSMjI6xfvx7Aox7VsLAwhIeHw8jICJ6engCAJUuWyHs4O3TogI8++kgQU+0Q7pSUFNjY2EBLSwt+fn6oqKjAunXrIJFI0KZNG3z88ceorq5W6DxUVlZixowZaN++PbS1tdGrVy+kp6cDePR/TFdXFwDg4eEBkUjUYFl9w8t37doFZ2dnaGpqwsjICL6+vvJtTw4vv337NkJDQ9G2bVvo6enBw8MDZ8+elW+PioqCo6MjNmzYAIlEAn19ffj7++POnTvyOjU1NVi0aBEsLS2hoaEBc3NzREdHy2N98vdXUlICdXV1pKWlNXmefHx8cOrUKeTl5TV9Uv+/0tJSrFmzBkuWLIGHhwd69OgBqVSKo0eP4vjx4/W20dfXx4EDBzBixAjY2Nigd+/eWL58ObKyslBQUCCoq6urK/i709bWVjg2IiIiejm1aNJd3/xAR0dHREVFQSaTISoqCubm5tDQ0ICZmRk+/vhjeb3GLjqB/7vQTU5ORpcuXaChoVHn4udJ8fHx+Oijj+Do6AhbW1v8+OOPqKmpEVzcPZmo7Ny5E+7u7ujUqRMAQF1dXbDd0NAQO3fuxLhx4wRDH4leVPb29nB2dsbatWsF5VKpFC4uLrC1tQUAZGRkQEtLC507d1Zov+Xl5Rg0aBDS0tJw5swZeHl5wcfHp8m/y1p3796Fp6cn2rRpg5MnTyIpKQmpqamCpGzlypWYPHkyJkyYgJycHCQnJ8PS0rLJfQcEBGDXrl2CZHn//v2oqKgQJJ3r1q2Duro6MjMzsWrVKgCAiooKYmNjce7cOaxbtw4HDx7EzJkzBfuvqKhAbGwsEhMTsW/fPqSnp8PX1xd79uzBnj17sGHDBnz//ffYsmWLQuciLCwMx44dQ2JiIn799VcMHz4cXl5euHTpElxcXJCbmwsA2Lp1KwoLCxsse9Lu3bvh6+uLQYMG4cyZM0hLS8Nbb73VYBzDhw9HcXEx9u7di6ysLHTv3h39+/fHzZs35XXy8vKwY8cOpKSkICUlBYcPHxYMqY6IiMCCBQsQGRmJ8+fPIyEhAcbGxgCA0NBQJCQkoLKyUl7/p59+Qvv27eHh4dHkeTI3N4exsTGOHDkiLwsODoabm1uDbbKyslBVVYUBAwbIy2xtbWFubo5jx441ecxapaWlEIlEdW5qLFiwAIaGhnBycsJXX32Fhw8fKrxPIiIiejmptXQADdm6dSuWLl2KxMRE2NnZoaioSNCDEhYWhvPnzyMxMRFmZmbYvn07vLy8kJOTAysrKwCPLnQXLlyIH3/8EYaGhs0aRlnbvqqqCgYGBvVuv3HjBnbv3o1169Y1uI/k5GT8/fffGDduXLOOTaRMKSkp0NHREZR99tln+OyzzwA86u2eMWMGYmNjoaOjgzt37mDLli2CobpXrlyBsbFxnaHl+fn59f7s4OAABwcH+ft58+Zh+/btSE5OVqg3OiEhAffv38f69evlvYPLly+Hj48PFi5cCGNjY8yfPx/Tp0/HJ598Im/n7Ozc5L49PT2hra2N7du3IzAwUH68wYMHy3uIAcDKygqLFi0StK1dpAx4dCNx/vz5mDRpElasWCEvr6qqwsqVK2FhYQEA8PPzw4YNG3Djxg3o6OigS5cucHd3x6FDh+r0uD+poKAAUqkUBQUFMDMzAwDMmDED+/btg1QqxZdffin/X2dgYAATExMAqLfsSdHR0fD398fcuXPlZY//zh6XkZGBEydOoLi4GBoaGgCAr7/+Gjt27MCWLVvkc79ramoQFxcnP4+BgYFIS0tDdHQ07ty5g2+++QbLly9HUFAQAMDCwgJvv/02AOD9999HWFgYdu7ciREjRgB4dEO1dl0CAIKbrTKZrE6cZmZmuHLlivy9qalpo6OeioqKoK6uXidZNjY2RlFRUYPtHnf//n3MmjULo0aNgp6enrz8448/Rvfu3WFgYICjR48iIiIChYWFWLJkiUL7JSIiopfTC5t0FxQUwMTEBAMGDECrVq1gbm4u73FR5KITeHShu2LFigYvGpsya9YsmJmZCXo8Hrdu3Tro6uo2OtdvzZo18PT0xBtvvNHosSorKwW9OWVlZU8VM5Ei3N3dsXLlSkHZ4zeXRo0ahalTp2Lz5s0YP348Nm3aBBUVFUFCeO/ePWhqaip8zPLyckRFRWH37t0oLCzEw4cPce/ePYV7ui9cuAAHBwfBcNy+ffuipqYGubm5EIlEuH79Ovr3769wTLXU1NQwYsQIxMfHIzAwEHfv3sXOnTuRmJgoqNejR486bVNTUxETE4Pff/8dZWVlePjwIe7fv4+Kigr5/GctLS15wg08SuAkEongxoexsTGKi4ubjDUnJwfV1dWwtrYWlFdWVsLQ0LBZn/tJ2dnZ+OCDDxSqe/bsWZSXl9c55r179wTDuSUSieDGhampqfxzXrhwAZWVlQ3+zjQ1NREYGIi1a9dixIgROH36NH777TckJycr/JnEYjEqKirk72NiYhRu+zSqqqowYsQIyGSyOn9j06ZNk//crVs3qKurY+LEiYiJiZHfuCAiIqJXzwubdA8fPhzLli1Dp06d4OXlhUGDBsHHxwdqamoKX3Sqq6ujW7duT3X8BQsWIDExEenp6Q0mFmvXrkVAQECD2//880/s378fmzdvbvJ4MTExgt4lImXS1tZudNi1np4e/Pz8IJVKMX78eEilUowYMUKQJBoZGeHWrVsKH3PGjBk4cOAAvv76a1haWkIsFsPPz++ZLUgmFov/UfuAgAD069cPxcXFOHDgAMRiMby8vAR1npx/m5+fD29vb3z44YeIjo6GgYEBMjIyEBISggcPHsiT7tqF52qJRKJ6yxR5vFV5eTlUVVWRlZUFVVVVwbYnRy80V3POYXl5OUxNTQU9zbUe7yVu7HMqcrzQ0FA4Ojrizz//hFQqhYeHBzp27KhwnDdv3kTbtm0Vrm9iYoIHDx7g9u3bgs9x48aNBkcI1KpNuK9cuYKDBw8Kernr06tXLzx8+BD5+fmwsbFROEYiIiJ6ubTonG4VFZU6wwFrH0XUoUMH5ObmYsWKFRCLxfjoo4/g6uqKqqoqwUVndna2/HXhwgV888038n2JxeKnmkf99ddfY8GCBfj5558bTNqPHDmC3NxchIaGNrgfqVQKQ0PDelewfVJERARKS0vlr6tXrzY7bqJnKSQkBBkZGUhJScHRo0flC6jVcnJyQlFRkcKJd2ZmJoKDg+Hr6wt7e3uYmJgIhp83pXPnzjh79izu3r0r2KeKigpsbGygq6sLiUSi0AJb9XFxcUGHDh2wadMmxMfHY/jw4XUSxidlZWWhpqYGixcvRu/evWFtbV3nMVHPmpOTE6qrq1FcXAxLS0vBq6mksCndunVT+Px1794dRUVFUFNTqxOHkZGRQvuwsrKCWCxu9Jj29vbo2bMnVq9ejYSEBIwfP16hfQOPhnnn5eXByclJ4TY9evRAq1atBDHl5uaioKAAffr0abBdbcJ96dIlpKamKjTqIDs7GyoqKs2e+kREREQvlxbt6W7bti0KCwvl78vKynD58mX5e7FYDB8fH/j4+GDy5MmwtbVFTk6O4KLznXfeeaYxLVq0CNHR0di/f3+jq42vWbMGPXr0aHDoukwmg1QqFTxeqTEaGhocXkjPTWVlZZ35qWpqaoJkydXVFZaWlhg7dixsbW3rLLzl5OQEIyMjZGZmwtvbu8ljWllZYdu2bfDx8YFIJEJkZKRCPbu1AgICMGfOHAQFBSEqKgolJSWYMmUKAgMD5QtvRUVFYdKkSWjXrh0GDhyIO3fuIDMzU+HHMo0ePRqrVq3CxYsXcejQoSbrW1paoqqqCt9++y18fHwEC6wpi7W1NQICAjB27FgsXrwYTk5OKCkpQVpaGrp164b33nvvqfc9Z84c9O/fHxYWFvD398fDhw+xZ88ezJo1q07dAQMGoE+fPhg6dCgWLVokv+FQuxibIk9r0NTUxKxZszBz5kyoq6ujb9++KCkpwblz5wQ3eUJDQxEWFgZtbW3BwnZNOX78ODQ0NATJckREBK5duyZflf5J+vr6CAkJwbRp02BgYAA9PT1MmTIFffr0Qe/eveX1bG1tERMTA19fX1RVVcHPzw+nT59GSkoKqqur5X9fBgYGUFdXx7Fjx/DLL7/A3d0durq6OHbsGKZOnYoxY8bInxxAREREr6YW7en28PDAhg0bcOTIEeTk5CAoKEg+XDIuLg5r1qzBb7/9hj/++AM//fQTxGIxOnbsKLjo3LZtGy5fvowTJ04gJiYGu3fvfup4Fi5ciMjISKxduxYSiQRFRUUoKiqq80iisrIyJCUlNdrLffDgQVy+fLnROkQtZd++fTA1NRW8ahevqiUSiTB+/HjcunWr3t5FVVVVjBs3DvHx8Qodc8mSJWjTpg1cXFzg4+MDT09PdO/eXeGYtbS0sH//fty8eRPOzs7w8/ND//79sXz5cnmdoKAgLFu2DCtWrICdnR28vb1x6dIlhY8REBCA8+fPo3379ujbt2+T9R0cHLBkyRIsXLgQXbt2RXx8vNLnDAOQ39CbPn06bGxsMHToUJw8eRLm5ub/aL9ubm5ISkpCcnIyHB0d4eHhgRMnTtRbVyQSYc+ePXB1dcW4ceNgbW0Nf39/+QJ7ioqMjMT06dMxe/ZsdO7cGSNHjqwzt33UqFFQU1PDqFGjmrWOwMaNGxEQECB4tnhhYWGT6wgsXboU3t7eGDZsGFxdXWFiYoJt27YJ6uTm5qK0tBQAcO3aNSQnJ+PPP/+Eo6Oj4O/q6NGjAB7dWE1MTES/fv1gZ2eH6OhoTJ06FT/88IPCn4eIiIheTiJZfcu9PidlZWWYMGEC9u7dC319fcybNw9Lly7F0KFD4ejoiAULFuDChQuorq6Gvb095s+fL19wp6qqCvPnz8f69etx7do1GBkZoXfv3pg7dy7s7e0RFxeH8PBw3L59W+F4JBKJYJXbWnPmzEFUVJT8/Q8//IDw8HAUFhZCX1+/3n2NHj0aV65cQWZmZrPOSa2ysjLo6+vj4pUb0G1iXiC9HkxaK55sPC9FRUWws7PD6dOnmzXPlqg58vPzYWFhgZMnTyp8o+avv/6CjY0NTp06hTfffFPJERIREdHrqDZnKy0tbXQtlxZNuqlhTLrpSS9i0g0AO3bsgKGh4TOf6kFUVVWFv//+GzNmzMDly5ebdRPz1KlTyMvLa/IRbERERERPS9Gk+4VdvZyIXg5Dhw5t6RCaFB8fj4kTJ9a7rWPHjjh37txzjqhhR44cwcCBAxvc/uR0l1dZZmYm3N3dYW1tjS1btjSrbc+ePRWaV05ERESkbK9VT3djj9PZu3fvC9VTx55uetKL2tP9Mrhz5w5u3LhR77ZWrVq9UEPj7927h2vXrjW4vbFHvRERERHR88Oe7npkZ2c3uK19+/bPLxAieq50dXWhq6vb0mEoRCwWM7EmIiIieoW8Vkk3L2SJiIiIiIjoeWrRR4YRERERERERvcqYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESsKkm4iIiIiIiEhJmHQTERERERERKYlaSwdAjTNurQk9Pc2WDoOIiIiIiIieAnu6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISzul+QclkMgBAWVlZC0dCRERERERET6rN1Wpzt4Yw6X5B/f333wCADh06tHAkRERERERE1JA7d+5AX1+/we1Mul9QBgYGAICCgoJGf4FEL6KysjJ06NABV69ehZ6eXkuHQ9Qs/P7Sy4zfX3qZ8ftLLxuZTIY7d+7AzMys0XpMul9QKiqPptvr6+vznw69tPT09Pj9pZcWv7/0MuP3l15m/P7Sy0SRDlIupEZERERERESkJEy6iYiIiIiIiJSESfcLSkNDA3PmzIGGhkZLh0LUbPz+0suM3196mfH7Sy8zfn/pVSWSNbW+ORERERERERE9FfZ0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLpb0HfffQeJRAJNTU306tULJ06caLR+UlISbG1toampCXt7e+zZs+c5RUpUV3O+v3FxcRCJRIKXpqbmc4yW6P/897//hY+PD8zMzCASibBjx44m26Snp6N79+7Q0NCApaUl4uLilB4nUX2a+/1NT0+v8/9XJBKhqKjo+QRM9P/FxMTA2dkZurq6aNeuHYYOHYrc3Nwm2/H6l14FTLpbyKZNmzBt2jTMmTMHp0+fhoODAzw9PVFcXFxv/aNHj2LUqFEICQnBmTNnMHToUAwdOhS//fbbc46cqPnfXwDQ09NDYWGh/HXlypXnGDHR/7l79y4cHBzw3XffKVT/8uXLeO+99+Du7o7s7GyEh4cjNDQU+/fvV3KkRHU19/tbKzc3V/A/uF27dkqKkKh+hw8fxuTJk3H8+HEcOHAAVVVV+Ne//oW7d+822IbXv/Sq4OrlLaRXr15wdnbG8uXLAQA1NTXo0KEDpkyZgk8//bRO/ZEjR+Lu3btISUmRl/Xu3RuOjo5YtWrVc4ubCGj+9zcuLg7h4eG4ffv2c46UqHEikQjbt2/H0KFDG6wza9Ys7N69W3CR5+/vj9u3b2Pfvn3PIUqi+iny/U1PT4e7uztu3bqF1q1bP7fYiJpSUlKCdu3a4fDhw3B1da23Dq9/6VXBnu4W8ODBA2RlZWHAgAHyMhUVFQwYMADHjh2rt82xY8cE9QHA09OzwfpEyvI0318AKC8vR8eOHdGhQwcMGTIE586dex7hEv1j/P9LrwJHR0eYmpri3XffRWZmZkuHQ4TS0lIAgIGBQYN1+P+XXhVMulvAX3/9herqahgbGwvKjY2NG5xjVVRU1Kz6RMryNN9fGxsbrF27Fjt37sRPP/2EmpoauLi44M8//3weIRP9Iw39/y0rK8O9e/daKCoixZiammLVqlXYunUrtm7dig4dOsDNzQ2nT59u6dDoNVZTU4Pw8HD07dsXXbt2bbAer3/pVaHW0gEQ0auvT58+6NOnj/y9i4sLOnfujO+//x7z5s1rwciIiF5tNjY2sLGxkb93cXFBXl4eli5dig0bNrRgZPQ6mzx5Mn777TdkZGS0dChEzwV7uluAkZERVFVVcePGDUH5jRs3YGJiUm8bExOTZtUnUpan+f4+qVWrVnBycsL//vc/ZYRI9Ew19P9XT08PYrG4haIienpvvfUW//9SiwkLC0NKSgoOHTqEN954o9G6vP6lVwWT7hagrq6OHj16IC0tTV5WU1ODtLQ0QW/g4/r06SOoDwAHDhxosD6RsjzN9/dJ1dXVyMnJgampqbLCJHpm+P+XXjXZ2dn8/0vPnUwmQ1hYGLZv346DBw/izTffbLIN///Sq4LDy1vItGnTEBQUhJ49e+Ktt97CsmXLcPfuXYwbNw4AMHbsWLRv3x4xMTEAgE8++QT9+vXD4sWL8d577yExMRGnTp3CDz/80JIfg15Tzf3+fvHFF+jduzcsLS1x+/ZtfPXVV7hy5QpCQ0Nb8mPQa6q8vFzQy3f58mVkZ2fDwMAA5ubmiIiIwLVr17B+/XoAwKRJk7B8+XLMnDkT48ePx8GDB7F582bs3r27pT4Cvcaa+/1dtmwZ3nzzTdjZ2eH+/fv48ccfcfDgQfz8888t9RHoNTV58mQkJCRg586d0NXVlc/L1tfXl48a4vUvvbJk1GK+/fZbmbm5uUxdXV321ltvyY4fPy7f1q9fP1lQUJCg/ubNm2XW1tYydXV1mZ2dnWz37t3POWKi/9Oc7294eLi8rrGxsWzQoEGy06dPt0DURDLZoUOHZADqvGq/s0FBQbJ+/frVaePo6ChTV1eXderUSSaVSp973EQyWfO/vwsXLpRZWFjINDU1ZQYGBjI3NzfZwYMHWyZ4eq3V970FIPh/yutfelXxOd1ERERERERESsI53URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESsKkm4joJRYcHAyRSFTn5eXlBQC4fv062rRpg9jYWEG7X375Ba1atcLPP/8MAIiLi5O3VVFRwRtvvIFx48ahuLhY3qa+44hEIiQmJsrryGQy/PDDD+jVqxd0dHTQunVr9OzZE8uWLUNFRQUkEkmD+xGJRAgODlboWOnp6YJ49fX14eTkhJkzZ6KwsLDB85WVlQWRSITjx4/Xu71///54//335e///PNPqKuro2vXrvXWF4lE2LFjR53y/Px8iEQiZGdn19nm5uaG8PBw+fuGzsmCBQsa/Bxubm7yepqamrC2tkZMTAxkMlmduseOHYOqqiree++9BuNUVVXFtWvXBNsKCwuhpqYGkUiE/Pz8RmN5/PPUiouLQ+vWrQVl9+7dw5w5c2BtbQ0NDQ0YGRlh+PDhOHfuXL373rhxI1RVVTF58uQ62x7/DohEIrRt2xaDBg1CTk6OoN7jfyOtWrWCsbEx3n33XaxduxY1NTWCuhKJBMuWLRO8r+/7Eh4eDjc3N0FZWVkZIiMjYWdnB7FYDENDQzg7O2PRokW4detWvZ+v9jzV9/v/8ccf62xXUVGBqakpRo4ciYKCgnr3Z2trCw0NDRQVFdW7/dChQxg0aBAMDQ2hpaWFLl26YPr06bh27VqD/09qXxKJBED9v/Nz585hxIgRaNu2LTQ0NGBtbY3Zs2ejoqKizjlW9Jw+rva7WvvS1dWFnZ0dJk+ejEuXLtU5p49/95pzjuvbTkT0TzHpJiJ6yXl5eaGwsFDw2m5LOeoAABDKSURBVLhxIwDAzMwM3377LSIiIuQXpvfu3UNQUBBCQ0Pxr3/9S74fPT09FBYW4s8//8Tq1auxd+9eBAYGCo4llUrrHGvo0KHy7YGBgQgPD8eQIUNw6NAhZGdnIzIyEjt37sTPP/+MkydPyttt3boVAJCbmysv++abbxQ+Vm3b69ev4+TJk5g1axZSU1PRtWvXOolXrR49esDBwQFr166tsy0/Px+HDh1CSEiIvCwuLg4jRoxAWVkZfvnlFwV+G0/niy++qPNZp0yZ0mibDz74AIWFhcjNzUVERARmz56NVatW1am3Zs0aTJkyBf/9739x/fr1evfVvn17rF+/XlC2bt06tG/f/uk/1BMqKysxYMAArF27FvPnz8fFixexZ88ePHz4EL169ar3RsiaNWswc+ZMbNy4Effv3693v7Xfn/3796OyshLvvfceHjx4IKhT+zeSn5+PvXv3wt3dHZ988gm8vb3x8OHDRuPW1NTErFmzGq1z8+ZN9O7dG1KpFDNmzMAvv/yC06dPIzo6GmfOnEFCQkKj7Wv/9h5/BQQE1Nl+7do1bN26Fbm5uRg+fHid/WRkZODevXvw8/PDunXr6mz//vvvMWDAAJiYmGDr1q04f/48Vq1ahdLSUixevBjffPONIAZA+Hd48uTJeuM/fvw4evXqhQcPHmD37t24ePEioqOjERcXh3fffbfO70ORc9qQ1NRUFBYW4uzZs/jyyy9x4cIFODg4IC0trdF2ip7jhrYTEf0jMiIiemkFBQXJhgwZ0mQ9X19fmYuLi6y6ulr2ySefyDp16iS7c+eOfLtUKpXp6+sL2kRHR8tUVFRkFRUVMplMJgMg2759e4PH2LRpkwyAbMeOHXW21dTUyG7fvi0oO3TokAyA7NatW3XqN3WshtpWVFTIbGxsZH379m2wbWxsrExPT0929+5dQfmcOXNkZmZmsocPH8pj7tSpk2zfvn2yWbNmyT744AOF47x8+bIMgOzMmTN1tvXr10/2ySefyN937NhRtnTp0gbjrc+T+5DJZLLu3bvLfH19BWV37tyR6ejoyH7//XfZyJEjZdHR0fXG+fnnn8usrKwE26ytrWWRkZEyALLLly83KxaZrO53asGCBTKRSCTLzs4W1Kuurpb17NlT1qVLF1lNTY28/I8//pCJxWLZ7du3Zb169ZLFx8cL2tX3HUhOTpYBkJ09e1Ze1tDfSFpamgyAbPXq1fKyJ38XHTt2lH388ccydXV12e7du+Xln3zyiaxfv37y9xMnTpRpa2vLrl27Vuc4MplM8LmeVN/fXlPbY2NjZQBkpaWlgvLg4GDZp59+Ktu7d6/M2tpasO3q1asydXV1WXh4eL3Hac7f4eO/85qaGlmXLl1kPXv2lFVXVwvqZWdny0QikWzBggXyMkXP6ZMa+puqrq6Wubm5yTp27Cj/233ynD3NOSYiepbY001E9BpYtWoVLl26hICAACxfvhxSqRQ6OjqNthGLxaipqWmyJ7BWfHw8bGxsMGTIkDrbRCIR9PX1nyr25hCLxZg0aRIyMzMFQ+MfFxAQgMrKSmzZskVeJpPJsG7dOgQHB0NVVRXAo2G4FRUVGDBgAMaMGYPExETcvXtX6Z+huWQyGY4cOYLff/8d6urqgm2bN2+Gra0tbGxsMGbMGKxdu7beIeiDBw/GrVu3kJGRAeBRj+mtW7fg4+PzzOJMSEjAu+++CwcHB0G5iooKpk6divPnz+Ps2bPycqlUivfeew/6+voYM2YM1qxZ0+j+S0tL5dMPnjwP9fHw8ICDgwO2bdvWaL0333wTkyZNQkRERJ3h6ABQU1ODTZs2YcyYMTAzM6t3HyKRqMl4FFVcXIzt27dDVVVV/l0FgDt37iApKQljxozBu+++i9LSUhw5ckS+PSkpCQ8ePMDMmTPr3e+TUwEUlZ2djfPnz2PatGlQURFeVjo4OGDAgAHykTe1mjqnzaGiooJPPvkEV65cQVZW1j/aFxGRsjDpJiJ6yaWkpEBHR0fw+vLLLwV12rVrh3nz5iExMRETJkyAq6tro/u8dOkSVq1ahZ49e0JXV1dePmrUqDrHqp1beunSJdjY2Dyzz9XYsRpja2sLAA3OQzYwMICvr69giPmhQ4eQn5+PcePGycvWrFkDf39/qKqqomvXrujUqROSkpL+2YdqwKxZs+p81scTpvqsWLECOjo60NDQgKurK2pqavDxxx8L6qxZswZjxowB8GiIdWlpKQ4fPlxnX61atZIn5QCwdu1ajBkzBq1atVIo/tpYHn9NmjRJUOfixYvo3Llzve1ry/9fe/cf08T5xwH8TUXUIqhIN+bUhYnYqowtRjfZJjEjMyHqstVQq8tUBMl0ySKDqFMhZLNbFg1RF4lLSnAMApJBMCb+oZnzV9RqEPBHFUQiiYOIjOpCdLPw+f5h7uJ5bSmzZNs371dyf/Se5+6ee+4u8Lkfz6elpQXAk0C2rKxMbfvy5ctx+vRptLe365adPHmyOn5AZWUlli5dqp4DgzGbzQG/V1ds27YN7e3tqKio0JV1d3fD4/Hozv05c+aofWG32wOu//79+5q+i4uL81keGRmJF198EcePH8eGDRsQGRmp1qmqqsL06dMxa9YsjBgxAsuXL9fcqGhtbUV0dDReeumlQfd3KJRjFujYKnWeFqhPh2qwax4Ivo/9lRMRPY/wf7oBRET0fBYuXIiSkhLNvJiYGM3v/v5+lJWVwWg04ty5c/B6vQgP1/4JUP7pHBgYwKNHj/DOO+/oBhIqLi5GWlqaZp7ydM/XE9TnEWhbgSjtCPR0MTMzE4sWLUJbWxumTZuG0tJSpKamIiEhAQDg8XhQW1urPvkFoD5tVQZ7C6X8/Hzdegf7nnrlypXYunUrent7UVhYiJSUFKSkpKjlN27cgMvlQl1dHQAgPDwcNpsNTqfT54BVmZmZSElJgcPhQE1NDc6ePRv0Ww5KW55WW1uru/kT7Dly9OhR9PX1IT09HQAQGxurDn721VdfaeqeOnVKPa8dDofP79r9EZGgnkKbTCbk5eWhoKAANpstqHXX1dXhr7/+wqZNm/Dw4cOAdaOiotDQ0KD+fvaJsVL++PFjHDlyBBUVFdixY4emjnKjRPHxxx8jNTUVe/fuRVRUVND7+ncN9fr/O3062LYD7V+wfeyvnIjoeTDoJiL6j4uMjFSDRX927tyJW7du4eLFi0hNTYXD4UBBQYGmjvJPpzJC8pgxY3TriYuL87utxMREXL9+/e/vyBC2FYjb7QYAdaRlX9577z1MnToVZWVlyM/PR21tLfbv36+WV1ZW4tGjR3jzzTfVeSKCgYEBtLS0IDExMWAboqOjATy5kfEsj8eje9U+NjZ2yPs6btw4dZmDBw8iISEBb731lnqjwul0wuv1am5UiAhGjRqF77//XteGpKQkmM1m2O12WCwWzJ492+fo64O1RfHCCy9oficmJqrH5lnKfKVfnU4nfv/9d805ODAwgObmZhQVFWkCovj4eIwfPx4zZszA3bt3YbPZcPLkyaDa7Xa7ER8fH1Td3Nxc7Nu3D/v27dPMN5lMGD9+PG7cuKGZP3XqVABPriuPxxNw3QaDIeDxf7rcYrGgra0Nn376KcrLywEA165dw7lz5+ByuTQDlPX396OqqgrZ2dlITEzE/fv30dnZGdKn3coxc7vdeOONN3Tlbrfb7/Xir0+HSjl/Ah3LofQxEVGo8TYeEdH/uatXr6KwsBAlJSWwWCwoKSnB119/jebmZk095Z/OV1991WfAPZgVK1agpaUF9fX1ujIR8RmAhtrDhw/xww8/YMGCBTCZTH7rGQwGrFmzBgcOHEBlZSUiIiKwbNkytdzpdOKLL75AY2OjOjU1NeHdd9/1OfL5s2JiYhAbG6v7xvTBgwe4efPmoEH7UI0dOxaff/458vLyICLwer348ccfsWvXLt0+TJo0SfeNrSIzMxO//vorMjMzQ9o+4Mkr4seOHdN8tw08CaaLi4sxc+ZMJCcno6enB/X19aiqqtK0/dKlS+jt7VXT3PmyYcMGXLlyRX26H8gvv/yCy5cvw2q1BtX+sWPHYvv27dixYwf++OMPdb7BYEBGRgZ++uknv6PDh9rmzZtRXV2tPpl1Op1YsGABmpqaNH2Wm5urvmK+bNkyRERE4LvvvvO5zsFuDPjz+uuvw2w2o7i4WPd9dlNTE44dO+b39Xp/fToUAwMD2LNnD+Lj430G/URE/wYMuomI/uP+/PNPdHV1aaZ79+4BALxeL1atWoWPPvpIzT9ttVphtVqxevXqoF8fVng8Ht22lMHFMjIyYLPZYLfb4XA4cPHiRdy+fRuHDx9GWloajh8/HrJtKe7evYuuri60traiqqoKb7/9Nu7du6d73d6XNWvW4M6dO/jyyy9ht9vVGw2NjY1oaGhAVlYWZs+erZnsdjsOHDig6bf29nZNoNPY2Ii+vj7k5ubC4XCgoqICbW1tcLlcWLlyJUwmkyYXOPBkEKxn9/XBgwdD6q+cnBy0tLTg559/xuHDh9Hb24u1a9fq9sFqtfodlCw7Oxvd3d3Iysoa0raDsXHjRsybNw9LlixBTU0NOjo6cOHCBVitVrjdbjidToSFhaG8vBwTJ05ERkaGpt3JyclIT08POKCa0WhEdnY2CgsLNa87K9fInTt30NDQAIfDgQ8++ACLFy/GJ598EvQ+rFu3DuPGjdOlAHM4HHj55Zcxb948lJaWorm5GW1tbairq1PzpIfSlClT8OGHH6KgoACPHz9GeXk57Ha77lhnZWXh/PnzuHr1KqZMmYLi4mLs3r0ba9euxYkTJ3D79m2cOXMGOTk5utf2gxUWFgan04lr167BarXC5XKho6MDNTU1WLJkCebPn+8zj7vCX5/609PTg66uLty6dQuHDh1CWloaXC4XnE5nyPuZiChk/oER04mIKERWrVolAHTTjBkzRESkqKhI4uLipKenR7NcT0+PxMXFSVFRkYgElzLH13YAyDfffKPW6e/vl5KSEpk7d64YjUaJjo6WOXPmyO7du9XUY4rBUoYF2payLAAJCwuTqKgoSU5Olvz8fOns7Ay6/95//30BIC6XS5332WefycyZM33W7+zsFIPBIPX19QHbeerUKfF6vbJnzx5JSkoSo9EokydPFpvNpku/9corr/hcR05Ojt92+0vTlZOTI7NmzZLFixdLenq6z2XPnz+vptUKlNpMROTSpUshSxkmItLX1ydbt26VhIQEGTlypMTExIjVapXLly+rdZKSkmT9+vU+t1VdXS0RERHS3d3t9/zp6OiQ8PBwqa6uFhHtNRIeHi4mk0nS0tKktLRUl+LKV8qwZ9O5VVZWCgBdeiuPxyNbtmwRs9kso0aNkjFjxshrr70m27dv111/g/VTMOVnz54VAPLtt9+KwWCQrq4un8tbLBbZuHGj+vvo0aOyaNEimTBhgowePVrMZrPk5eXJb7/9plsWQaQMUzQ3N4vVapWYmBgZOXKkTJs2TbZt26ZLzTeUPn2acq4qk9FoFIvFIuvXr5fW1lZNXaYMI6J/mzCREI98Q0REREREREQA+Ho5ERERERER0bBh0E1EREREREQ0TBh0ExEREREREQ0TBt1EREREREREw4RBNxEREREREdEwYdBNRERERERENEwYdBMRERERERENEwbdRERERERERMOEQTcRERERERHRMGHQTURERERERDRMGHQTERERERERDRMG3URERERERETD5H+2t8nHxX+Q7AAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_users_hoarding_ram = analyzer.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=ResourceHoardingDataFrameNameEnum.USERS_WITH_RESOURCE_HOARDING_METRICS,\n", + " sorting_key=\"expected_value_ram_hoarding_fraction_diff\",\n", + " ascending=False, # Sort in descending order\n", + " filter_criteria={\"expected_value_ram_hoarding_fraction_diff\": {\"min\": 0, \"inclusive\": True}},\n", + ")\n", + "# Plot top inefficient users by RAM hoarding fraction, with RAM hoarding fraction as labels\n", + "users_with_metrics_visualizer = UsersWithMetricsVisualizer(inefficient_users_hoarding_ram.head(10))\n", + "users_with_metrics_visualizer.visualize(\n", + " column=\"expected_value_ram_hoarding_fraction_diff\",\n", + " bar_label_columns=[\n", + " \"expected_value_alloc_vram_efficiency\",\n", + " ],\n", + " figsize=(10, 6),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "36", + "metadata": {}, + "source": [ + "#### [Find most inefficient users hoarding CPU cores based on `expected_value_core_hoarding_fraction_diff`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "37", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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NDVVrPw2l7vHXRltbG8HBwSgtLcXhw4drzSeRSDBy5EhkZ2crPdObkZGBu3fvin4HwJPP0dvbG9bW1ggKCkJRURG2b9/e8IN8RvV9Nqpcu3YNly9fxuDBg2FsbFzvPuTHU3OYqZypqSkGDRqEy5cvi27OqSK/HjZr1kzl9rt37yodS83fcm0qKytVngtVN1rkw8PlQXBNnp6ekMlk2LFjhyj91q1bOHDgAIKDgwE8GT6/ceNGVFRUqNXG+o6/NqGhoRAEQa35CYAn1+jHjx+L5j1QJT09HQ4ODko3U56Vqu9jXc9qy8nnAKj5GMFPP/2EX375BcHBwdDV1cXQoUOVrqcN/T4/j/p+Czo6Ohg5ciTu3buHrKwspe1RUVG4c+dOvc+mP4uAgABIpVK1H0ur+Vu7d++eUp6ysjKlz7O8vLyxm05/Vy+0n52I6lRzqOnWrVsFAML8+fNF+QICAgSJRCL88ssvijQAAgDh5MmTirQbN24I+vr6wpAhQ+rcr6qhkPJhWX379hWqq6sV6dOmTRO0tbWF+/fvC4IgCEVFRULTpk2F9957T1Rnfn6+YGpqKkqvbRhZbcO9evfuLfTu3Vvxfs2aNQIAYcmSJUrH8HQbAQhz5sxRvA8PDxdsbGwUw47lgoKCBFNTU6G0tFQQhP8bvtamTRuhvLxcke+rr74SAAjZ2dmKNE0OLz9z5ky9QxVzc3MFbW1tITo6WpSenZ0t6OjoiNJ79+4tABBWrlwpyrtlyxa1hvWp0qpVKwGAsGnTJkXagwcPBBsbG8Hd3V2RtmrVKgGAcOnSJUVaRUWFYGFhIRourIr8e1nb6+jRo0plSktLhddff10AIHTq1EnlcE3593Dv3r1CYWGhcPPmTSElJUUwNzcXpFKp8NtvvwmC8H/fh9pet2/fFgThyW8CgHDmzJmGnEJBENQbXq7O8dc2vFxO/ll/9dVXdbbn4sWLAgBh1qxZovSgoCBBX19fePDggSLtzp07go6OjvDtt98q0rp37y4MGjRIqV5NDS+v77NRZdu2bbU+CqCKm5ubYGpqWmeeJUuWCACEtLQ0QRD+77ObO3euUFhYKOTn5wuHDh0SPDw8VP625ddAVS9nZ+d62yj/Pdb1ku/z/v37AgCVn9PTBg4cKAAQHj58qEhbtGiRIJVKFWlXr14VAAhbtmwRlZV/PmvWrBEKCwuFW7duCRkZGYKDg4MgkUiE48ePi/LX9/nLr4nTpk1TpNU2vFz+PRszZoygr6+vGG5cc3jygwcPBADC4MGDlfZ37949obCwUPGS/x9Rm7q+j08PB+/du7fg4uKiqPfy5cvCv/71LwGAyt9HRESE0LJlS8X/bz/++KPStaah3+enNXR4+eDBgwUAwr1792qtc/PmzQIAIS4uTpH29P9/3t7egrW1teKcNsbwcrkOHToIzZo1U7yva3h5zVfN/89r+zzj4+PrbCeRHCdSI3qF7Ny5E9ra2pgyZYoofcaMGdi4cSN27dol6nXu1q0bOnXqpHhvZ2eHQYMGYfv27aiqqlI5sUl9xo8fL5okp1evXli6dClu3LiB9u3bY8+ePbh//z6Cg4Pxxx9/KPJpa2ujS5cuOHDgQIP3WZtNmzbBwsJC5cy0tU3kIwgCNm3ahOHDh0MQBFEbfX19kZKSgtOnT6NHjx6K9DFjxkBXV1fxXt4b9OuvvyrNlqsJpqamAIDdu3ejf//+Kied2bx5M6qrqzF8+HDRMVlbW8PR0REHDhxQDCEHnkxSNGbMGFEd8l6V9PR0dOjQodZJtmpja2srmmjJxMQEo0aNwoIFC5Cfnw9ra2sMHz4cH374IZKSkjBv3jzFcf3xxx9499131drP+PHjERgYqJTetm1bpTRdXV3F+evTp0+d3/maE361atUKSUlJSj3jn3/+ucoeQTMzMwBPJpYCoLFepoYcf23kEwYVFRXVma9t27Zwd3dHSkoKvvjiCwBPHnFJS0vDgAEDRBNZpaSkQEtLC8OGDVOkBQcHY8aMGbh3716DezOfRX2fjSoN/byKiorqzSvfLq9bbs6cOYrHZ4Ann8PixYsREBCgsp5NmzYpTRZWcwLA2nTp0gXz589XSj937pzikQvg/74DDTkm+b+TkpLwzjvvKN47OjqiU6dOSEpKwuDBg5XqqPmoiqWlJRITE1VOflcXdb+/T/vss8+QmJiI2NhYfPXVV0rb5Z+VqonrvLy8cO7cOcX7L7/8UnQOa6Pq+1hzwrjLly8rDekfOHAgVq9eLUp7/Pgxvv/+e4wePVrx/5uPjw+aN2+OpKQkuLm5iY5D073cgHrfndp+C3JRUVHo3bs3Vq5cqTQp4/MyMjJS+ztS87emaoK0QYMGKY3sa9eu3fM1kv4xGHQTvUJu3LgBW1tbpf/g5LOM3rhxQ5Tu6OioVIeTkxNKS0tRWFj4TEtd2NnZid7L/5CWD8W6du0aANQ6Y6i6s82qIycnB87Ozg2ambywsBD379/HN998U+tSZDWfo6vvmDVF/odV69atMX36dCxZsgRJSUno1asXBg4ciHfffVcRUF67dg2CIKj8zAEoBdAtWrQQ3UgAgN69e2PYsGGYO3culi5dCi8vLwwePBgjR46Enp5eve11cHBQutnh5OQE4MlwSWtrazRt2hT+/v5ITk5WBN3ywFbdWWYdHR3VnhH7q6++wpkzZ/DGG28gLi4O7733nmhG/Kf997//hZOTE3R0dGBlZQVnZ2doaSk/heXq6lrn/uXf8YYEBA3RkOOvTXFxMQD1/jAPCQlBZGQkjhw5gu7du2Pr1q0oLS1VGlq+fv16vPnmm/jzzz/x559/Angyo3pFRQVSU1MVj5M0FlU31ur7bFRp6OdlbGwsurGlSm3BiPyGSVlZGfbv34+4uDhUVVXVWo+npycsLCzUaldNFhYWKs9FzeulvI31HX/NY7p06RLOnDmDUaNGKc1x8d///hcPHz5Uut7Lg9Di4mJs2bJFcaOmoRry/ZV7/fXXERoaim+++QYff/yx0nZ5XfK6n7Zq1SoUFRXhzp07at8cBNT7PspkMnz77beorq5GTk4OoqOjUVhYCH19fVG+H3/8EYWFhXjzzTdF59vb2xsbNmzAggULFMsDApq7/jzt6e9ObTPq1xeYe3p6wtvbGwsXLsT777/fqO0rLi5W+zuizm/ttdde+0tXY6C/FwbdRNQgtfUUCv//mUn582qJiYkqg3pNL91VH3n73n33XdFSUk+ruTxKfcf8LPT09GqdPKa0tBQARH90LV68GGFhYdi2bRt+/PFHTJkyBTExMTh27Bhee+01VFdXQyKRYNeuXSrbW7P3RtVdfPmatceOHcP27duxe/dujB07FosXL8axY8fqXDe5IUaNGoXU1FQcOXIErq6uSEtLw8SJE5/pj++63Lx5E3PmzMHgwYOxfPlyuLi4YNKkSdi9e7fK/G+++SY6d+783Pt1cXEBAGRnZyt6n1428jkParsB8bTg4GDMnDkTycnJ6N69O5KTk9GsWTPRsmXyZYwA1Tf7kpKSGhR06+vro7y8HIIgKAXXgiCgrKxMKSh5Vk9/Xupo06YNzp49i7y8PKUbcnLytZxrjj54+obJgAEDoK2tjY8//hje3t6N8t17FqamprCxsal3/enz58+jRYsWiqBu/fr1AIBp06ap7KHctGmT0miap4PQwYMHo7S0FO+99x569uzZoMnJGvL9fdqnn36KxMRELFiwQKknXn4eVM0HIn/GW/4MemMyNDQUBXI9evRAx44d8cknn4gmfZQ/uz18+HCV9Rw8eBDe3t4N/j4/jzZt2mDr1q04f/48PD09Veap7bfwtDlz5sDLy0sxCWFjqKysxNWrV/+S0WhE6uBEakSvkFatWuHWrVtKd7AvX76s2P40ea/z065evQoDAwOl4WyNxd7eHsCTtZL79u2r9Ko5+/jz7uvKlSuorKxUu4ylpSWMjY1RVVWlsn19+/ZF8+bNG9yW2oaz16ZVq1a4cuWKym3y9Jqfp6urKz777DP873//w6FDh/D7779j5cqVAJ6cC0EQ0Lp1a5XH1LVrV7Xb1rVrV0RHR+PkyZNISkrCxYsXkZKSUm+5X375RelGhHx24adnc/fz84OlpSWSkpKwZcsWlJaWamTSMfkwwLi4ONjY2CA6Oho//vijWsfyPPr16wdtbW1FUPKyqaqqQnJyMgwMDNCzZ89689va2sLb2xupqam4c+cO9uzZg4CAANFIiaSkJDRp0gQpKSlITU0VvT788EMcOnQIeXl5arexVatWePz4scpZrX/55RdUVVWptU6yOpycnODs7Ixt27ap7OWsST7r87p161Ruf/jwIbZt2wYXF5d6g8JPP/0UxsbG+Oyzzxre8EY0YMAAXL9+vdaJ9Q4dOoTc3FzFsQuCgOTkZMX3ouarffv2as1iHhsbi7KyMpXrUdclMTEREokEb731VoPK2dvb491338WqVatw+/Ztpe3vvPMOfvnlFxw/frxB9Tam9u3bK9oo/82UlJRg27ZtGDFihMrzbWNjozjfDf0+P4/6fgvya02zZs1Ej2zV1Lt3b3h5eamc5fxZbdy4EY8ePYKvr2+j1Ef0vBh0E71C+vfvj6qqKqUlMJYuXQqJRIJ+/fqJ0o8ePYrTp08r3t+8eRPbtm3D22+//UzPc6vD19cXJiYm+OKLL1QGw6qWF3tWw4YNwx9//KFySZDaeqG1tbUxbNgwxbI/jdU+Q0PDOpdfqql///44duwYTp06JUq/f/++4vk8+UiBhw8fKs1M7erqCi0tLcXMqUOHDoW2tjbmzp2rdOyCICiG+9bl3r17SmXlPbXqzNB669YtbNmyRfH+4cOHWLdunehYgCejHYKDg/HDDz8gISEBrq6uSqMLnteWLVuQlpaGf//734oetIkTJ6JTp06YPn16rc8XNoaWLVvivffew48//oj//Oc/Sturq6uxePFi/PbbbxprQ22qqqowZcoUXLp0CVOmTFH7cY+QkBAUFBRgwoQJqKysVDlrea9evTBixAgEBASIXv/6178AoEHLwcmvZap+2//9739FeRrD3Llz8eeff2LcuHEqZ4H/8ccfkZ6eDuDJrMht27ZFbGwsTp48KcpXXV2NDz74APfu3RM9u12bpk2bYsKECdi9ezfOnj3bKMfyLP71r39BKpViwoQJSteKu3fv4v3334eBgYHis8zKykJubi7GjBmj9HkHBARgxIgROHDgQL1LdNnb22PYsGFISEhAfn6+Wm2NjY3Fjz/+iBEjRtT6OE1dPvvsM1RWVqpc/mzmzJkwMDDA2LFjcefOHaXtzzO6qSFmzpyJyspKLFmyBMCT61lJSQkmTZqk8nwPGDAAmzZtUlynG/J9fh7du3dH3759ER8fr7K+Tz/9FFevXsXMmTNVjq56WlRUFPLz82t97Kshzp07h6lTp6JZs2aYNGnSc9dH1Bg4vJzoFeLv7w9vb298+umnyM3NRYcOHfDjjz9i27ZtmDp1qqKXWe6NN96Ar68vpkyZAj09PSxfvhzAk/+QNcXExAQrVqxAaGgoOnbsiKCgIFhaWiIvLw87duxAjx49Gm3dzFGjRmHdunWYPn06jh8/jl69eqGkpAR79+7FxIkTa11+KjY2FgcOHECXLl3w3nvvoW3btrh79y5Onz6NvXv34u7duw1uS6dOnfD9999j+vTp8PDwgJGREfz9/WvN//HHHyM1NRWenp6YMGECXFxccOvWLSQkJOD27duIj49X5N2/fz8iIiIQGBgIJycnPH78GImJiYobCMCTP17nz5+PWbNmITc3V7FczPXr17FlyxaMHz++3ol/1q5di+XLl2PIkCGwt7dHUVERvv32W5iYmIiGEtfGyckJ4eHhOHHiBKysrLBmzRrcuXNHdCxyo0aNQlxcHA4cOIAFCxbUW/fTTp8+rbIX2d7eHt26dUNRURGmTJkCd3d30aSDWlpaWLlyJbp06YJPP/1UZUCsjkOHDqlce7p9+/aKmweLFy9GTk4OpkyZgs2bN2PAgAFo1qwZ8vLykJqaisuXLyMoKOiZ9l/f8cs9ePBAka+0tBS//PILNm/ejJycHAQFBSmeqVfHsGHDMHHiRGzbtg0tW7YUDSWVL2NUc4IhuRYtWqBjx45ISkrCRx99pEj/5ZdfVE705e7ujnfeeQfjxo3DV199hWvXril6NPfs2YOdO3di3Lhx6NChg1JZdT4bVUaMGIHs7GxER0fjzJkzCA4ORqtWrfDnn38iIyMD+/btU6yHrKuri40bN6JPnz7o2bMnxowZg86dO+P+/ftITk7G6dOnMWPGDLU/3w8//BDLli1DbGys0iiMjRs3qnys46233oKVlZVa9avD0dERa9euRUhICFxdXREeHo7WrVsjNzcXq1evxh9//IENGzYo/o9JSkqCtrY23nnnHZX1DRw4EJ9++ilSUlJULmf5tH/961/44YcfFOdA7vHjx4rvb1lZGW7cuIG0tDScP38e3t7ezxycyXu7165dq/I8JCcnIzg4GM7OzggJCUGHDh0gCAKuX7+O5ORkaGlp4bXXXnumfaurbdu26N+/P7777jvMnj0bSUlJMDc3R/fu3VXmHzhwIL799lvs2LEDQ4cObdD3+XmtW7cOffr0waBBgzBy5Ej06tUL5eXl2Lx5MzIzMzFixAjFzZq69O7dG71798bBgwcbtH/5b76qqgp//vknsrKykJaWBlNTU2zZsuWZ5q4h0oi/fsJ0IlKXquWDioqKhGnTpgm2trZCkyZNBEdHR+HLL78ULZElCP+3JMf69esFR0dHQU9PT3B3d691KZCn1bVkWM1lPOTLdtSs98CBA4Kvr69gamoq6OvrC/b29kJYWJhoCbPnXTJMEJ4sCfXpp58KrVu3Fpo0aSJYW1sLAQEBQk5OjuhcPL1kmCA8Wd5o0qRJQsuWLRXl+vTpI3zzzTdKx1ZzSRL5+Xl6qZDi4mJh5MiRQtOmTVUuN6LKb7/9JowbN05o0aKFoKOjI5iZmQkDBgwQjh07Jsr366+/CmPHjhXs7e0FfX19wczMTPD29hb27t2rVOemTZuEnj17CoaGhoKhoaHg4uIiTJo0Sbhy5YroPKpaTur06dNCcHCwYGdnJ+jp6QnNmzcXBgwYIPrMaiNfSmb37t1C+/btBT09PcHFxaXO5VzatWsnaGlpKZbkqk99S2bJl5D68MMPBS0tLaVliOQiIiIELS0txXE1dIma2l41v2OPHz8WvvvuO6FXr16Cqamp0KRJE6FVq1bCmDFjal1O7HmWDHt6CS35snDyl5GRkeDo6Ci8++67wo8//ljncdYmMDBQACDMnDlTlD558mQBgOg3V1NUVJQAQDh37pwgCHUvaRUeHi4IgiBUVVUJX331ldChQwdBX19f0NfXFzp06CDExcUJVVVVovob+tnUZt++fcKgQYOE5s2bCzo6OoKlpaXg7+8vbNu2TSlvQUGBMH36dMHBwUHQ09MTmjZtKvTt21exTNjTVF1TnxYWFiZoa2srln2sa8kwVdfbmupakq2upZbOnz8vBAcHCzY2NorrYnBwsGh5xIqKCsHc3Fzo1atXnW1o3bq1YrnA+pZ38vLyEkxMTBRLT44ePVp0vAYGBoJMJhOGDRsmbNy4UenzF4T6lwx72rVr1wRtbe1a2/TLL78IH3zwgeDg4CDo6+sLUqlUcHFxEd5//33h7NmzdR63OsdbV5vlMjMzBQDCBx98IOjo6AihoaG11lNaWioYGBgoLQfakO+zIDR8yTC5oqIiISoqSmjXrp0glUoFY2NjoUePHkJCQoLS3yaCUPuSmU//jht6PW7SpIlgaWkpeHp6CtHR0UJBQYFSmbqWDKv594a6bSZSl0QQ/qKxMkT0l5JIJJg0aVKj9SoTNTZ3d3eYmZlh3759L7opRERERBrDZ7qJiOgvd/LkSZw9exajRo160U0hIiIi0ig+001ERH+ZCxcu4NSpU1i8eDFsbGwwYsSIF90kIiIiIo1iTzcREf1lNm7ciDFjxqCyshIbNmxotLWWiYiIiF5WfKabiIiIiIiISEPY001ERERERESkIQy6iYiIiIiIiDSEE6m9wqqrq3Hr1i0YGxtDIpG86OYQERERERG90gRBQFFREWxtbaGl1Th91Ay6X2G3bt1Cy5YtX3QziIiIiIiI/lZu3ryJ1157rVHqYtD9CjM2Ngbw5AthYmLygltDRERERET0anv48CFatmypiLUaA4PuV5h8SLmJiQmDbiIiIiIiokbSmI/vciI1IiIiIiIiIg1h0E1ERERERESkIRxe/jfgNOwLaDXRe9HNICIior+JWzvnvugmEBH9bbCnm4iIiIiIiEhDGHQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWkIg24iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxERERG9Ejw9PZGcnNwodclkMixbtkzxXiKRYOvWrY1S9z/N1q1b4eDgAG1tbUydOlVlWkJCApo2bap2nTU/n5dZRkYG3NzcUF1d/aKbQi8pBt1EREREpBFhYWGQSCRKLz8/P1RUVMDCwgKxsbEqy86bNw9WVlaorKwEAKSlpeHOnTsICgpS5JHJZMjMzERmZiZkMtlfcUikwoQJExAQEICbN29i3rx5KtNGjBiBq1evql3niRMnMH78eE01+Zl4eXkhISEBubm5kEgkinQ/Pz80adIESUlJDa6zrKwMkyZNgrm5OYyMjDBs2DDcuXOn3nKXLl3CwIEDYWpqCkNDQ3h4eCAvL0+xfcKECbC3t4dUKoWlpSUGDRqEy5cvN7h91DgYdDfQt99+i169eqFZs2Zo1qwZ+vbti+PHj4vyREVFwcXFBYaGhoo8P/30kyhPdHQ0unfvDgMDgwbd9SMiIiJ6lfj5+eH27dui14YNG6Crq4t3330X8fHxSmUEQUBCQgJGjRqFJk2aAADi4uIwZswYaGn98/58raioeNFNqFVxcTEKCgrg6+sLW1tbGBsbq0yTSqVo3ry52vVaWlrCwMBAgy1vXGFhYYiLi2twuWnTpmH79u1ITU3FwYMHcevWLQwdOrTOMjk5OejZsydcXFyQmZmJ8+fPY/bs2dDX11fk6dSpE+Lj43Hp0iXs3r0bgiDg7bffRlVVVYPbSM/vn3fVqkNVVVW9w0IyMzMRHByMAwcO4OjRo2jZsiXefvtt/P7774o8Tk5O+Prrr5GdnY3Dhw9DJpPh7bffRmFhoSJPRUUFAgMD8cEHH2jseIiIiIheND09PVhbW4tezZo1AwCEh4fj6tWrOHz4sKjMwYMH8euvvyI8PBwAUFhYiP3798Pf31+tfebk5GDQoEGwsrKCkZERPDw8sHfv3ga1Ozs7Gz4+PpBKpTA3N8f48eNRXFwsyrNmzRq0a9cOenp6sLGxQURERL31jhw5EiNGjBClVVZWwsLCAuvWrQPwpEc1IiICU6dOhYWFBXx9fQEAS5YsgaurKwwNDdGyZUtMnDhR1Cb5EO709HQ4OzvDwMAAAQEBKC0txdq1ayGTydCsWTNMmTJF7eCrvLwckZGRaNGiBQwNDdGlSxdkZmYCePJ3sbGxMQDAx8cHEomk1jRVw8u3b98ODw8P6Ovrw8LCAkOGDFFsqzm8/P79+xg3bhwsLS1hYmICHx8fnDt3TrE9KioKbm5uSExMhEwmg6mpKYKCglBUVKTIU11djYULF8LBwQF6enqws7NDdHS0oq01P7/CwkLo6upi37599Z4nf39/nDx5Ejk5OfWf1P/vwYMHWL16NZYsWQIfHx9FoHzkyBEcO3as1nKffvop+vfvj4ULF8Ld3R329vYYOHCg6KbG+PHj4enpCZlMho4dO2L+/Pm4efMmcnNz1W4fNZ6XPuhW9TyHm5sboqKiIAgCoqKiYGdnBz09Pdja2mLKlCmKfHVdJID/uzClpaWhbdu20NPTEw3LUCUpKQkTJ06Em5sbXFxc8N1336G6ulr0Yxw5ciT69u2L119/He3atcOSJUvw8OFDnD9/XpFn7ty5mDZtGlxdXZ/vBBERERG9olxdXeHh4YE1a9aI0uPj49G9e3e4uLgAAA4fPgwDAwO0adNGrXqLi4vRv39/7Nu3D2fOnIGfnx/8/f3r/TtPrqSkBL6+vmjWrBlOnDiB1NRU7N27VxSUrVixApMmTcL48eORnZ2NtLQ0ODg41Ft3SEgItm/fLgqWd+/ejdLSUlHQuXbtWujq6iIrKwsrV64EAGhpaSEuLg4XL17E2rVrsX//fsycOVNUf2lpKeLi4pCSkoKMjAxkZmZiyJAh2LlzJ3bu3InExESsWrUKGzduVOtcRERE4OjRo0hJScH58+cRGBgIPz8/XLt2Dd27d8eVK1cAAJs2bcLt27drTatpx44dGDJkCPr3748zZ85g3759ePPNN2ttR2BgIAoKCrBr1y6cOnUKHTt2RJ8+fXD37l1FnpycHGzduhXp6elIT0/HwYMHRY8vzJo1C7GxsZg9ezZ+/vlnJCcnw8rKCgAwbtw4JCcno7y8XJF//fr1aNGiBXx8fOo9T3Z2drCyssKhQ4cUaWFhYfDy8qq1zKlTp1BZWYm+ffsq0lxcXGBnZ4ejR4+qLFNdXY0dO3bAyckJvr6+aN68Obp06VLnfAQlJSWIj49H69at0bJly3qPhRqfzotuwPPYtGkTli5dipSUFLRr1w75+fmiO14RERH4+eefkZKSAltbW2zZsgV+fn7Izs6Go6MjgCcXpgULFuC7776Dubl5g4a9yMtXVlbCzMxM5faKigp88803MDU1RYcOHZ79YImIiIheQenp6TAyMhKlffLJJ/jkk08APOntjoyMRFxcHIyMjFBUVISNGzeKhureuHEDVlZWSkPLn+61e/rfHTp0EP3dNW/ePGzZsgVpaWlq9UYnJyejrKwM69atg6GhIQDg66+/hr+/PxYsWAArKyvMnz8fM2bMwIcffqgo5+HhUW/dvr6+MDQ0xJYtWxAaGqrY38CBAxU9xADg6OiIhQsXisrKJykDnnRMzZ8/H++//z6WL1+uSK+srMSKFStgb28PAAgICEBiYiLu3LkDIyMjtG3bFt7e3jhw4IBSj3tNeXl5iI+PR15eHmxtbQEAkZGRyMjIQHx8PL744gvF385mZmawtrYGAJVpNUVHRyMoKAhz585VpNX2t/Lhw4dx/PhxFBQUQE9PDwCwaNEibN26FRs3blQ8+11dXY2EhATFeQwNDcW+ffsQHR2NoqIifPXVV/j6668xevRoAIC9vT169uwJABg6dCgiIiKwbds2DB8+HMCTDjr5vAQARJ13giAotdPW1hY3btxQvLexsalzFG1+fj50dXWVRgBYWVkhPz9fZZmCggIUFxcjNjYW8+fPx4IFC5CRkYGhQ4fiwIED6N27tyLv8uXLMXPmTJSUlMDZ2Rl79uyBrq5ure0hzXmlg+68vDxYW1ujb9++aNKkCezs7BR3yNS5SABPLkzLly9/5oD4o48+gq2tregOFfDkP5igoCCUlpbCxsYGe/bsgYWFxXMc7ZOe+6fvvj18+PC56iMiIiLSNG9vb6xYsUKU9nRnRXBwMKZNm4YffvgBY8eOxffffw8tLS1RQPjo0SPR86r1KS4uRlRUFHbs2IHbt2/j8ePHePTokdo93ZcuXUKHDh0UATcA9OjRA9XV1bhy5QokEglu3bqFPn36qN0mOR0dHQwfPhxJSUkIDQ1FSUkJtm3bhpSUFFG+Tp06KZXdu3cvYmJicPnyZTx8+BCPHz9GWVkZSktLFc8/GxgYKAJu4EkAJ5PJRDc+rKysUFBQUG9bs7OzUVVVBScnJ1F6eXk5zM3NG3TcNZ09exbvvfeeWnnPnTuH4uJipX0+evRINJxbJpOJblzY2NgojvPSpUsoLy+v9TPT19dHaGgo1qxZg+HDh+P06dO4cOEC0tLS1D4mqVSK0tJSxfuYmBi1y6pLHsQPGjQI06ZNA/BkFPCRI0ewcuVKUdAdEhKCt956C7dv38aiRYswfPhwZGVlNei3RI3jlQ66AwMDsWzZMrz++uvw8/ND//794e/vDx0dHbUvErq6umjfvv0z7T82NhYpKSnIzMxU+vJ6e3vj7Nmz+OOPP/Dtt99i+PDh+Omnnxrck/60mJgY0d1AIiIiopedoaFhncOuTUxMEBAQgPj4eIwdOxbx8fEYPny4KEi0sLDAvXv31N5nZGQk9uzZg0WLFsHBwQFSqRQBAQGNNiGZVCp9rvIhISHo3bs3CgoKsGfPHkilUvj5+YnyPB3wA0968gcMGIAPPvgA0dHRMDMzw+HDhxEeHo6KigpF0C2feE5OIpGoTFNneavi4mJoa2vj1KlT0NbWFm2rOXqhoRpyDouLi2FjYyPqaZZ7upe4ruNUZ3/jxo2Dm5sbfvvtN8THx8PHxwetWrVSu513796FpaWl2vmtra1RUVGB+/fvi47jzp07tY4QsLCwgI6ODtq2bStKb9OmjdLcCKampjA1NYWjoyO6du2KZs2aYcuWLQgODla7jdQ4XvpnurW0tJSGb8iXjmjZsiWuXLmC5cuXQyqVYuLEifD09ERlZaXoInH27FnF69KlS/jqq68UdUmlUtGU/+patGgRYmNj8eOPP6oM2uX/wXTt2hWrV6+Gjo4OVq9e3eD9PG3WrFl48OCB4nXz5s3nqo+IiIjoZRAeHo7Dhw8jPT0dR44cUUygJufu7o78/Hy1A++srCyEhYVhyJAhcHV1hbW1dYMmkGrTpg3OnTuHkpISUZ1aWlpwdnaGsbExZDKZWhNsqdK9e3e0bNkS33//PZKSkhAYGKgUMNZ06tQpVFdXY/HixejatSucnJxw69atZ9q/utzd3VFVVYWCggI4ODiIXrUFhepq37692uevY8eOyM/Ph46OjlI71B1J6ujoCKlUWuc+XV1d0blzZ3z77bdITk7G2LFj1aobeLL0V05ODtzd3dUu06lTJzRp0kTUpitXriAvLw/dunVTWUZXVxceHh6K5+blrl69WucNAkEQIAiCaNQs/XVe+p5uS0tL3L59W/H+4cOHuH79uuK9VCqFv78//P39MWnSJLi4uCA7O1t0kejVq1ejtmnhwoWIjo7G7t270blzZ7XKVFdXP/eXXE9PT/EcCxEREdGroLy8XOn5VB0dHVGw5OnpCQcHB4waNQouLi5KE2+5u7vDwsICWVlZGDBgQL37dHR0xObNm+Hv7w+JRILZs2er1bMrFxISgjlz5mD06NGIiopCYWEhJk+ejNDQUMXEW1FRUXj//ffRvHlz9OvXD0VFRcjKysLkyZPV2sfIkSOxcuVKXL16FQcOHKg3v4ODAyorK/Gf//wH/v7+ognWNMXJyQkhISEYNWoUFi9eDHd3dxQWFmLfvn1o37493nnnnWeue86cOejTpw/s7e0RFBSEx48fY+fOnfjoo4+U8vbt2xfdunXD4MGDsXDhQsUNB/lkbOr8Pa6vr4+PPvoIM2fOhK6uLnr06IHCwkJcvHhRdJNn3LhxiIiIgKGhoWhiu/ocO3YMenp6omB51qxZ+P333xWz0tdkamqK8PBwTJ8+HWZmZjAxMcHkyZPRrVs3dO3aVZHPxcUFMTExivb861//wogRI+Dp6Qlvb29kZGRg+/btipEAv/76K77//nu8/fbbsLS0xG+//YbY2FhIpVL0799f7WOixvPS93T7+PggMTERhw4dQnZ2NkaPHq0Y3pKQkIDVq1fjwoUL+PXXX7F+/XpIpVK0atVKdJHYvHkzrl+/juPHjyMmJgY7dux45vYsWLAAs2fPxpo1ayCTyZCfn4/8/HzFDJQlJSX45JNPcOzYMdy4cQOnTp3C2LFj8fvvvyMwMFBRT15eHs6ePYu8vDxUVVUpeuJrLkVBRERE9CrLyMiAjY2N6CWfvEpOIpFg7NixuHfvnsreRW1tbYwZMwZJSUlq7XPJkiVo1qwZunfvDn9/f/j6+qJjx45qt9nAwAC7d+/G3bt34eHhgYCAAPTp0wdff/21Is/o0aOxbNkyLF++HO3atcOAAQNw7do1tfcREhKCn3/+GS1atECPHj3qzd+hQwcsWbIECxYswBtvvIGkpCSNPDNcU3x8PEaNGoUZM2bA2dkZgwcPxokTJ2BnZ/dc9Xp5eSE1NRVpaWlwc3ODj48Pjh8/rjKvRCLBzp074enpiTFjxsDJyQlBQUGKCfbUNXv2bMyYMQOff/452rRpgxEjRig92x4cHAwdHR0EBwc36NnnDRs2ICQkRLS2+O3bt+udR2Dp0qUYMGAAhg0bBk9PT1hbW2Pz5s2iPFeuXMGDBw8U74cMGYKVK1di4cKFcHV1xXfffYdNmzYpflf6+vo4dOgQ+vfvDwcHB4wYMQLGxsY4cuTIcz3qSs9OIqiaeu8l8vDhQ4wfPx67du2Cqakp5s2bh6VLl2Lw4MFwc3NDbGwsLl26hKqqKri6umL+/PmKCRIqKysxf/58rFu3Dr///jssLCzQtWtXzJ07F66urkhISMDUqVNx//59tdsjk8lEsxLKzZkzB1FRUSgrK8PIkSPx008/4Y8//oC5uTk8PDzw2WefiWa0DAsLw9q1a5XqOXDgQJ1LC9Q8N6amprDq+xG0mrAHnIiIiBrHrZ0v3xwy+fn5aNeuHU6fPt2g52yJGiI3Nxf29vY4ceKE2jdq/vjjDzg7O+PkyZNo3bq1hltImiaPsR48eAATE5NGqfOlD7qpdgy6iYiISBNexqAbALZu3Qpzc/NGf3SQqLKyEn/++SciIyNx/fp1ZGVlqV325MmTyMnJqXcJNno1aCLofumf6SYiIiIiAoDBgwe/6CbUKykpCRMmTFC5rVWrVrh48eJf3KLaHTp0CP369at1+z/pscesrCx4e3vDyckJGzdubFDZzp07qz3PE/0zMeiuoa7lD3bt2sU7q0RERERUq4EDB6JLly4qt9U3Q/lfrXPnzjh79uyLbsZLwcvLS2nFJKLGwqC7hrouPC1atPjrGkJERERErxxjY2MYGxu/6GaoRSqV1rmGOhE1DgbdNfDCQ0RERERERI3lpV8yjIiIiIiIiOhVxaCbiIiIiIiISEMYdBMRERERERFpCINuIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1EREREREREGsKgm4iIiIiIiEhDdF50A+j5Xd30CUxMTF50M4iIiIiIiKgG9nQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWmIzotuAD2/ju9/C21d6YtuBhEREb2CriRMfNFNICL6W2NPNxEREREREZGGMOgmIiIiIiIi0hAG3UREREREREQawqCbiIiIiIiISEMYdBMRERERERFpCINuIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1EREREREREGsKgm4iIiIiIiEhDGHQTERER0UvH09MTycnJjVKXTCbDsmXLFO8lEgm2bt3aKHX/02zduhUODg7Q1tbG1KlTVaYlJCSgadOmatdZ8/N5mWVkZMDNzQ3V1dUvuin0CmHQTURERETPLSwsDBKJROnl5+eHiooKWFhYIDY2VmXZefPmwcrKCpWVlQCAtLQ03LlzB0FBQYo8MpkMmZmZyMzMhEwm+ysOiVSYMGECAgICcPPmTcybN09l2ogRI3D16lW16zxx4gTGjx+vqSY/Ey8vLyQkJCA3NxcSiUSR7ufnhyZNmiApKanBdZaVlWHSpEkwNzeHkZERhg0bhjt37tRZRhAEfP7557CxsYFUKkXfvn1x7do1UZ7o6Gh0794dBgYGDbrZQX8dBt1ERERE1Cj8/Pxw+/Zt0WvDhg3Q1dXFu+++i/j4eKUygiAgISEBo0aNQpMmTQAAcXFxGDNmDLS0/nl/qlZUVLzoJtSquLgYBQUF8PX1ha2tLYyNjVWmSaVSNG/eXO16LS0tYWBgoMGWN66wsDDExcU1uNy0adOwfft2pKam4uDBg7h16xaGDh1aZ5mFCxciLi4OK1euxE8//QRDQ0P4+vqirKxMkaeiogKBgYH44IMPGtwm+mv8865kz2nz5s3o3LkzmjZtCkNDQ7i5uSExMVGUR9WdXj8/P1Ee3pEiIiKivxs9PT1YW1uLXs2aNQMAhIeH4+rVqzh8+LCozMGDB/Hrr78iPDwcAFBYWIj9+/fD399frX3m5ORg0KBBsLKygpGRETw8PLB3794GtTs7Oxs+Pj6QSqUwNzfH+PHjUVxcLMqzZs0atGvXDnp6erCxsUFERES99Y4cORIjRowQpVVWVsLCwgLr1q0D8KRHNSIiAlOnToWFhQV8fX0BAEuWLIGrqysMDQ3RsmVLTJw4UdQm+RDu9PR0ODs7w8DAAAEBASgtLcXatWshk8nQrFkzTJkyBVVVVWqdh/LyckRGRqJFixYwNDREly5dkJmZCQDIzMyEsbExAMDHxwcSiaTWNFXDy7dv3w4PDw/o6+vDwsICQ4YMUWyrObz8/v37GDduHCwtLWFiYgIfHx+cO3dOsT0qKkrxN7hMJoOpqSmCgoJQVFSkyFNdXY2FCxfCwcEBenp6sLOzQ3R0tKKtNT+/wsJC6OrqYt++ffWeJ39/f5w8eRI5OTn1n9T/78GDB1i9ejWWLFkCHx8fdOrUCfHx8Thy5AiOHTumsowgCFi2bBk+++wzDBo0CO3bt8e6detw69Yt0eMRc+fOxbRp0+Dq6qp2e+ivxaD7KVVVVfU+n2FmZoZPP/0UR48exfnz5zFmzBiMGTMGu3fvFuWread3w4YNou28I0VERET/JK6urvDw8MCaNWtE6fHx8ejevTtcXFwAAIcPH4aBgQHatGmjVr3FxcXo378/9u3bhzNnzsDPzw/+/v7Iy8tTq3xJSQl8fX3RrFkznDhxAqmpqdi7d68oKFuxYgUmTZqE8ePHIzs7G2lpaXBwcKi37pCQEGzfvl0ULO/evRulpaWioHPt2rXQ1dVFVlYWVq5cCQDQ0tJCXFwcLl68iLVr12L//v2YOXOmqP7S0lLExcUhJSUFGRkZyMzMxJAhQ7Bz507s3LkTiYmJWLVqFTZu3KjWuYiIiMDRo0eRkpKC8+fPIzAwEH5+frh27Rq6d++OK1euAAA2bdqE27dv15pW044dOzBkyBD0798fZ86cwb59+/Dmm2/W2o7AwEAUFBRg165dOHXqFDp27Ig+ffrg7t27ijw5OTnYunUr0tPTkZ6ejoMHD4oeX5g1axZiY2Mxe/Zs/Pzzz0hOToaVlRUAYNy4cUhOTkZ5ebki//r169GiRQv4+PjUe57s7OxgZWWFQ4cOKdLCwsLg5eVVa5lTp06hsrISffv2VaS5uLjAzs4OR48eVVnm+vXryM/PF5UxNTVFly5dai1DL6eXPuhWNbGCm5sboqKiIAgCoqKiYGdnBz09Pdja2mLKlCmKfHXdrQP+7w5hWloa2rZtCz09vXov0F5eXhgyZAjatGkDe3t7fPjhh2jfvr3SXduad3rld3nleEeKiIiI/m7S09NhZGQken3xxReK7eHh4UhNTVUEoUVFRdi4cSPGjh2ryHPjxg1YWVkpDS3Pzc2Fl5cXvLy8kJubq0jv0KEDJkyYgDfeeAOOjo6YN28e7O3tkZaWplabk5OTUVZWhnXr1uGNN96Aj48Pvv76ayQmJiqet50/fz5mzJiBDz/8EE5OTvDw8FBMIlYXX19fGBoaYsuWLaL9DRw4UNFDDACOjo5YuHAhnJ2d4ezsDACYOnUqvL29IZPJ4OPjg/nz5+OHH34Q1V9ZWYkVK1bA3d0dnp6eCAgIwOHDh7F69Wq0bdsWAwYMgLe3Nw4cOFBvW/Py8hAfH4/U1FT06tUL9vb2iIyMRM+ePREfHw9dXV3FkHEzMzNYW1vXmlZTdHQ0goKCMHfuXLRp0wYdOnTArFmzVLbj8OHDOH78OFJTU9G5c2c4Ojpi0aJFaNq0qejmQXV1NRISEvDGG2+gV69eCA0NVfRSFxUV4auvvsLChQsxevRo2Nvbo2fPnhg3bhwAKIZ0b9u2TVFfQkKCYrQq8KRnPywsDDKZDIIgKLXT1tYWN27cULy3sbGBnZ1drec3Pz8furq6SiMArKyskJ+fX2sZeR51y9DLSedFN+B5bNq0CUuXLkVKSgratWuH/Px80dCTiIgI/Pzzz0hJSYGtrS22bNkCPz8/ZGdnw9HREcCTO4QLFizAd999B3Nz8wY9fyIIAvbv348rV65gwYIFom2ZmZlo3rw5mjVrprhQmpubP9fxlpeXi+7IPXz48LnqIyIiImpM3t7eWLFihSjNzMxM8e/g4GBMmzYNP/zwA8aOHYvvv/8eWlpaoiHYjx49gr6+vtr7LC4uRlRUFHbs2IHbt2/j8ePHePTokdo93ZcuXUKHDh1gaGioSOvRoweqq6tx5coVSCQS3Lp1C3369FG7TXI6OjoYPnw4kpKSEBoaipKSEmzbtg0pKSmifJ06dVIqu3fvXsTExODy5ct4+PAhHj9+jLKyMpSWliqefzYwMIC9vb2ijJWVFWQyGYyMjERpBQUF9bY1OzsbVVVVcHJyEqWXl5c/99+wZ8+exXvvvadW3nPnzqG4uFhpn48ePRIN55bJZKIbFzY2NorjvHTpEsrLy2v9zPT19REaGoo1a9Zg+PDhOH36NC5cuKD2jRoAkEqlKC0tVbyPiYlRuyz987zSQXdeXh6sra3Rt29fNGnSBHZ2doqhKvK7dXl5ebC1tQUAREZGIiMjA/Hx8Yq7rpWVlVi+fDk6dOig9n4fPHiAFi1aoLy8HNra2li+fDneeustxXY/Pz8MHToUrVu3Rk5ODj755BP069cPR48ehba29jMfb0xMDObOnfvM5YmIiIg0ydDQsM5h1yYmJggICEB8fDzGjh2L+Ph4DB8+XBQkWlhY4N69e2rvMzIyEnv27MGiRYvg4OAAqVSKgICARpuQTCqVPlf5kJAQ9O7dGwUFBdizZw+kUqnSXD9PB/zAk179AQMG4IMPPkB0dDTMzMxw+PBhhIeHo6KiQhF0yyeek5NIJCrT1Fneqri4GNra2jh16pTS36tPfz7PoiHnsLi4GDY2NqLRqXJP9xLXdZzq7G/cuHFwc3PDb7/9hvj4ePj4+KBVq1Zqt/Pu3buwtLRUO7+1tTUqKipw//590XHcuXMH1tbWtZaR57GxsRGVcXNzU3vf9OK99MPL6xIYGIhHjx7h9ddfx3vvvYctW7bg8ePHAMR3654e4nTw4EHRXTJdXV20b9++Qfs1NjbG2bNnceLECURHR2P69OmiC0NQUBAGDhwIV1dXDB48GOnp6Thx4oTKi0dDzJo1Cw8ePFC8bt68+Vz1EREREf3VwsPDcfjwYaSnp+PIkSOKCdTk3N3dkZ+fr3bgnZWVhbCwMAwZMgSurq6wtrYWDT+vT5s2bXDu3DmUlJSI6tTS0oKzszOMjY0hk8nUmmBLle7du6Nly5b4/vvvkZSUhMDAQKWAsaZTp06huroaixcvRteuXeHk5IRbt2490/7V5e7ujqqqKhQUFMDBwUH0qi0oVFf79u3VPn8dO3ZEfn4+dHR0lNphYWGhVh2Ojo6QSqV17tPV1RWdO3fGt99+i+TkZNEjDvUpKytDTk4O3N3d1S7TqVMnNGnSRNSmK1euIC8vD926dVNZpnXr1rC2thaVefjwIX766aday9DL6aXv6dbS0lJ6jkK+hmPLli1x5coV7N27F3v27MHEiRPx5Zdf4uDBg2rfrZNKpaK199Rtk/wurpubGy5duoSYmJhaJ094/fXXYWFhgV9++eWZhibJ6enpQU9P75nLExEREWlSeXm50rOmOjo6omDJ09MTDg4OGDVqFFxcXJQm3nJ3d4eFhQWysrIwYMCAevfp6OiIzZs3w9/fHxKJBLNnz1arZ1cuJCQEc+bMwejRoxEVFYXCwkJMnjwZoaGhimdpo6Ki8P7776N58+bo168fioqKkJWVhcmTJ6u1j5EjR2LlypW4evWqWs9XOzg4oLKyEv/5z3/g7+8vmmBNU5ycnBASEoJRo0Zh8eLFcHd3R2FhIfbt24f27dvjnXfeeea658yZgz59+sDe3h5BQUF4/Pgxdu7ciY8++kgpb9++fdGtWzcMHjwYCxcuVNxwkE/G1rlz53r3p6+vj48++ggzZ86Erq4uevTogcLCQly8eFF0k2fcuHGIiIiAoaGhaGK7+hw7dgx6enqiwHfWrFn4/fffFbPS12Rqaorw8HBMnz4dZmZmMDExweTJk9GtWzd07dpVkc/FxQUxMTEYMmQIJBIJpk6divnz58PR0RGtW7fG7NmzYWtri8GDByvK5OXl4e7du8jLy0NVVRXOnj0L4Mn36HlHKVDjeOl7ui0tLXH79m3F+4cPH+L69euK91KpFP7+/oiLi0NmZiaOHj2K7Oxsjd6tq6m6ulr0rHVNv/32G/7880/RsBAiIiKiv5uMjAzY2NiIXj179hTlkUgkGDt2LO7du6eyd1FbWxtjxoxBUlKSWvtcsmQJmjVrhu7du8Pf3x++vr7o2LGj2m02MDDA7t27cffuXXh4eCAgIAB9+vTB119/rcgzevRoLFu2DMuXL0e7du0wYMAAXLt2Te19hISE4Oeff0aLFi3Qo0ePevN36NABS5YswYIFC/DGG28gKSnpL3lmOD4+HqNGjcKMGTPg7OyMwYMH48SJE3VOEKYOLy8vpKamIi0tDW5ubvDx8cHx48dV5pVIJNi5cyc8PT0xZswYODk5ISgoSDHBnrpmz56NGTNm4PPPP0ebNm0wYsQIpWfbg4ODoaOjg+Dg4AbNI7BhwwaEhISI1ha/fft2vfMILF26FAMGDMCwYcPg6ekJa2trbN68WZTnypUrePDggeL9zJkzMXnyZIwfPx4eHh4oLi5GRkaGqL2ff/453N3dMWfOHBQXF8Pd3R3u7u44efKk2sdEmiURVE3H9xKZNWsWEhIS8MMPP6Bp06b4/PPPsXfvXsyYMQMymQxVVVXo0qULDAwMEB8fj8WLF+PmzZswNzfHu+++i6ysrFrv1iUkJGDq1Km4f/++2u2JiYlB586dYW9vj/LycuzcuRMff/wxVqxYgXHjxqG4uBhz587FsGHDYG1tjZycHMycORNFRUXIzs5W9FTL70ilpaXhyy+/VCw50JA7Ug8fPoSpqSnsgxdBW/f5njciIiKif6YrCRNfdBOU5Ofno127djh9+nSDnrMlaojc3FzY29vjxIkTat+o+eOPP+Ds7IyTJ0+idevWGm4hvQjyGOvBgwcwMTFplDpf+uHls2bNwvXr1zFgwACYmppi3rx5ip7upk2bIjY2FtOnT0dVVRVcXV2xfft2xWyH8fHxiiUefv/9d1hYWKBr165qDVWqTUlJCSZOnIjffvsNUqkULi4uWL9+vWLWTW1tbZw/fx5r167F/fv3YWtri7fffhvz5s0TDQ3//PPPsXbtWsV7+TMhBw4cqHONPyIiIqK/O2tra6xevRp5eXkMuqnRVVZW4s8//8Rnn32Grl27NmhkRG5uLpYvX86Amxrkpe/pptqxp5uIiIie18vY0/2qSEpKwoQJE1Rua9WqFS5evPgXt6h2hw4dQr9+/WrdLl87/Z8gMzMT3t7ecHJywsaNG+Hq6vqim0QvkX9kTzcRERER0cto4MCB6NKli8pt9c1Q/lfr3LmzYoKtfzovLy+liZqJNIlBdw11PU+9a9cu9OrV6y9sDRERERG9rIyNjWFsbPyim6EWqVRa5xrqRKQ5DLprqOsOYIsWLf66hhAREREREdErj0F3DbwDSERERERERI3lpV+nm4iIiIiIiOhVxaCbiIiIiIiISEMYdBMRERERERFpCINuIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1EREREREREGqLzohtAz+/0yvdgYmLyoptBRERERERENbCnm4iIiIiIiEhDGHQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQ3RedAPo+fWdnQodPYMX3QwiIqJX2pGFwS+6CURE9DfEnm4iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxEREREREZGGMOgmIiIiIiIi0hAG3UREREREREQawqCbiIiIiIiISEMYdBMRERERERFpCINuIiIiIiIiIg1h0E1ERERERESkIQy6iYiIiIiIiDSEQTcRERERERGRhjDoJiIiIiIiItIQBt1ERERELzFPT08kJyc3Sl0ymQzLli1TvJdIJNi6dWuj1P1Ps3XrVjg4OEBbWxtTp05VmZaQkICmTZuqXWfNz+dllpGRATc3N1RXV7/ophC99Bh0ExERETWisLAwSCQSpZefnx8qKipgYWGB2NhYlWXnzZsHKysrVFZWAgDS0tJw584dBAUFKfLIZDJkZmYiMzMTMpnsrzgkUmHChAkICAjAzZs3MW/ePJVpI0aMwNWrV9Wu88SJExg/frymmvxMvLy8kJCQgNzcXEgkEkW6n58fmjRpgqSkpAbXWVZWhkmTJsHc3BxGRkYYNmwY7ty5U2eZO3fuICwsDLa2tjAwMICfnx+uXbvW4H0TvQgMup/BsmXL4OzsDKlUipYtW2LatGkoKytTmTc2NhYSiURxB1Tum2++gZeXF0xMTCCRSHD//n3NN5yIiIj+En5+frh9+7botWHDBujq6uLdd99FfHy8UhlBEJCQkIBRo0ahSZMmAIC4uDiMGTMGWlr/vD/ZKioqXnQTalVcXIyCggL4+vrC1tYWxsbGKtOkUimaN2+udr2WlpYwMDDQYMsbV1hYGOLi4hpcbtq0adi+fTtSU1Nx8OBB3Lp1C0OHDq01vyAIGDx4MH799Vds27YNZ86cQatWrdC3b1+UlJQ8zyEQ/SX+eVfwOlRVVdU7RCY5ORkff/wx5syZg0uXLmH16tX4/vvv8cknnyjlPXHiBFatWoX27dsrbSstLYWfn5/KckRERPRq09PTg7W1tejVrFkzAEB4eDiuXr2Kw4cPi8ocPHgQv/76K8LDwwEAhYWF2L9/P/z9/dXaZ05ODgYNGgQrKysYGRnBw8MDe/fubVC7s7Oz4ePjA6lUCnNzc4wfPx7FxcWiPGvWrEG7du2gp6cHGxsbRERE1FvvyJEjMWLECFFaZWUlLCwssG7dOgBPelQjIiIwdepUWFhYwNfXFwCwZMkSuLq6wtDQEC1btsTEiRNFbZIP4U5PT4ezszMMDAwQEBCA0tJSrF27FjKZDM2aNcOUKVNQVVWl1nkoLy9HZGQkWrRoAUNDQ3Tp0gWZmZkAgMzMTBgbGwMAfHx8IJFIak1TNbx8+/bt8PDwgL6+PiwsLDBkyBDFtprDy+/fv49x48bB0tISJiYm8PHxwblz5xTbo6Ki4ObmhsTERMhkMpiamiIoKAhFRUWKPNXV1Vi4cCEcHBygp6cHOzs7REdHK9pa8/MrLCyErq4u9u3bV+958vf3x8mTJ5GTk1P/Sf3/Hjx4gNWrV2PJkiXw8fFBp06dEB8fjyNHjuDYsWMqy1y7dg3Hjh3DihUr4OHhAWdnZ6xYsQKPHj3Chg0b1N430Yvy0gfdqp5tcXNzQ1RUFARBQFRUFOzs7KCnpwdbW1tMmTJFka+uCybwfxfptLQ0tG3bFnp6esjLy6uzPUeOHEGPHj0wcuRIyGQyvP322wgODsbx48dF+YqLixESEoJvv/1W8Z/s06ZOnYqPP/4YXbt2bfhJISIioleWq6srPDw8sGbNGlF6fHw8unfvDhcXFwDA4cOHYWBggDZt2qhVb3FxMfr37499+/bhzJkz8PPzg7+/f71/28iVlJTA19cXzZo1w4kTJ5Camoq9e/eKgrIVK1Zg0qRJGD9+PLKzs5GWlgYHB4d66w4JCcH27dtFwfLu3btRWloqCjrXrl0LXV1dZGVlYeXKlQAALS0txMXF4eLFi1i7di3279+PmTNniuovLS1FXFwcUlJSkJGRgczMTAwZMgQ7d+7Ezp07kZiYiFWrVmHjxo1qnYuIiAgcPXoUKSkpOH/+PAIDAxXDmbt3744rV64AADZt2oTbt2/XmlbTjh07MGTIEPTv3x9nzpzBvn378Oabb9bajsDAQBQUFGDXrl04deoUOnbsiD59+uDu3buKPDk5Odi6dSvS09ORnp6OgwcPih5fmDVrFmJjYzF79mz8/PPPSE5OhpWVFQBg3LhxSE5ORnl5uSL/+vXr0aJFC/j4+NR7nuzs7GBlZYVDhw4p0sLCwuDl5VVrmVOnTqGyshJ9+/ZVpLm4uMDOzg5Hjx5VWUbePn19fUWalpYW9PT0lG5eEb2MdF50A57Hpk2bsHTpUqSkpKBdu3bIz88X3f2LiIjAzz//jJSUFNja2mLLli3w8/NDdnY2HB0dATy5SC9YsADfffcdzM3N6x0C1L17d6xfvx7Hjx/Hm2++iV9//RU7d+5EaGioKN+kSZPwzjvvoG/fvpg/f36jHG95ebnoovjw4cNGqZeIiIgaV3p6OoyMjERpn3zyiWKEW3h4OCIjIxEXFwcjIyMUFRVh48aNoqG6N27cgJWVldLQ8tzcXJX/7tChAzp06KB4P2/ePGzZsgVpaWlq9UYnJyejrKwM69atg6GhIQDg66+/hr+/PxYsWAArKyvMnz8fM2bMwIcffqgo5+HhUW/dvr6+MDQ0xJYtWxR/MyUnJ2PgwIGKHmIAcHR0xMKFC0Vln35ETyaTYf78+Xj//fexfPlyRXplZSVWrFgBe3t7AEBAQAASExNx584dGBkZoW3btvD29saBAweUetxrysvLQ3x8PPLy8mBrawsAiIyMREZGBuLj4/HFF18o/l40MzODtbU1AKhMqyk6OhpBQUGYO3euIu3pz+xphw8fxvHjx1FQUAA9PT0AwKJFi7B161Zs3LhR8ex3dXU1EhISFOcxNDQU+/btQ3R0NIqKivDVV1/h66+/xujRowEA9vb26NmzJwBg6NChiIiIwLZt2zB8+HAATzql5PMSABB1WAmCoNROW1tb3LhxQ/HexsamzpGj+fn50NXVVRoBYGVlhfz8fJVl5EH5rFmzsGrVKhgaGmLp0qX47bffcPv27Vr3RfSyeKWD7ry8PFhbW6Nv375o0qQJ7OzsFHcL1blgAk8u0suXL6/1glfTyJEj8ccff6Bnz54QBAGPHz/G+++/LxomnpKSgtOnT+PEiRONerwxMTGiizQRERG9nLy9vbFixQpRmpmZmeLfwcHBmDZtGn744QeMHTsW33//PbS0tEQB4aNHj0Q9e/UpLi5GVFQUduzYgdu3b+Px48d49OiR2j3dly5dQocOHRQBNwD06NED1dXVuHLlCiQSCW7duoU+ffqo3SY5HR0dDB8+HElJSQgNDUVJSQm2bduGlJQUUb5OnTopld27dy9iYmJw+fJlPHz4EI8fP0ZZWRlKS0sVzz8bGBgoAm7gSQAnk8lENz6srKxQUFBQb1uzs7NRVVUFJycnUXp5eTnMzc0bdNw1nT17Fu+9955aec+dO4fi4mKlfT569Eg0nFsmk4luXNjY2CiO89KlSygvL6/1M9PX10doaCjWrFmD4cOH4/Tp07hw4QLS0tLUPiapVIrS0lLF+5iYGLXLqqtJkybYvHkzwsPDYWZmBm1tbfTt2xf9+vVTeSOA6GXzSgfdgYGBWLZsGV5//XX4+fmhf//+8Pf3h46OjtoXTF1dXZXPXNcmMzMTX3zxBZYvX44uXbrgl19+wYcffoh58+Zh9uzZuHnzJj788EPs2bOnQf9RqmPWrFmYPn264v3Dhw/RsmXLRt0HERERPT9DQ8M6h12bmJggICAA8fHxGDt2LOLj4zF8+HBRkGhhYYF79+6pvc/IyEjs2bMHixYtgoODA6RSKQICAhptQjKpVPpc5UNCQtC7d28UFBRgz549kEql8PPzE+V5OuAHnvTkDxgwAB988AGio6NhZmaGw4cPIzw8HBUVFYqgWz7xnJxEIlGZps7yVsXFxdDW1sapU6egra0t2lZz9EJDNeQcFhcXw8bGRtTTLPd0L3Fdx6nO/saNGwc3Nzf89ttviI+Ph4+PD1q1aqV2O+/evQtLS0u181tbW6OiogL3798XHcedO3dqHSEAPLkhc/bsWTx48AAVFRWwtLREly5d0LlzZ7X3TfSivPRBt5aWltIdLPkyGi1btsSVK1ewd+9e7NmzBxMnTsSXX36JgwcPqn3BlEqlouUP6jN79myEhoZi3LhxAJ48l1VSUoLx48fj008/xalTp1BQUICOHTsqylRVVeF///sfvv76a5SXlyu1R116enqK4UVERET0agsPD4eXlxfS09Nx5MgRfPnll6Lt7u7uyM/Px71791TOD1NTVlYWwsLCFM9IFxcXi4af16dNmzZISEhASUmJIvjNysqClpYWnJ2dYWxsDJlMhn379sHb21v9A/3/unfvjpYtW+L777/Hrl27EBgYqBQw1nTq1ClUV1dj8eLFimH2P/zwQ4P33RDu7u6oqqpCQUEBevXq1ah1t2/fHvv27cOYMWPqzduxY0fk5+dDR0fnmZeGc3R0hFQqxb59+xR/u9bk6uqKzp0749tvv0VycjK+/vprtesvKytDTk4O3N3d1S7TqVMnNGnSBPv27cOwYcMAAFeuXEFeXh66detWb3lTU1MATyZXO3nypGK5NqKX2UsfdFtaWoqe1Xj48CGuX7+ueC+VSuHv7w9/f39MmjQJLi4uyM7O1tgFs7S0VOnZKnkQLQgC+vTpg+zsbNH2MWPGwMXFBR999NEzB9xERET06igvL1d6PlVHRwcWFhaK956ennBwcMCoUaPg4uKiNPGWu7s7LCwskJWVhQEDBtS7T0dHR2zevBn+/v6QSCSYPXu2Wj27ciEhIZgzZw5Gjx6NqKgoFBYWYvLkyQgNDVVMvBUVFYX3338fzZs3R79+/VBUVISsrCxMnjxZrX2MHDkSK1euxNWrV3HgwIF68zs4OKCyshL/+c9/4O/vL5pgTVOcnJwQEhKCUaNGYfHixXB3d0dhYSH27duH9u3b45133nnmuufMmYM+ffrA3t4eQUFBePz4MXbu3ImPPvpIKW/fvn3RrVs3DB48GAsXLoSTkxNu3bqlmIxNnR5efX19fPTRR5g5cyZ0dXXRo0cPFBYW4uLFi4pZ8oEnvd0REREwNDQUTWxXn2PHjkFPT08ULM+aNQu///67Ylb6mkxNTREeHo7p06fDzMwMJiYmmDx5Mrp16yaaYNjFxQUxMTGK9qSmpsLS0hJ2dnbIzs7Ghx9+iMGDB+Ptt99Wu71EL8pLP3u5j48PEhMTcejQIWRnZ2P06NGKwDUhIQGrV6/GhQsX8Ouvv2L9+vWQSqVo1aqV6IK5efNmXL9+HcePH0dMTAx27NjxzO3x9/fHihUrkJKSguvXr2PPnj2YPXs2/P39oa2tDWNjY7zxxhuil6GhIczNzfHGG28o6snPz8fZs2fxyy+/AHjy/NDZs2dFs1ESERHRqykjIwM2Njail3zyKjmJRIKxY8fi3r17GDt2rFId2traGDNmDJKSktTa55IlS9CsWTN0794d/v7+8PX1FY28q4+BgQF2796Nu3fvwsPDAwEBAejTp4+o53P06NFYtmwZli9fjnbt2mHAgAG4du2a2vsICQnBzz//jBYtWqBHjx715u/QoQOWLFmCBQsW4I033kBSUpJGnhmuKT4+HqNGjcKMGTPg7OyMwYMH48SJE7Czs3uuer28vJCamoq0tDS4ubnBx8dHaQUcOYlEgp07d8LT0xNjxoyBk5MTgoKCFBPsqWv27NmYMWMGPv/8c7Rp0wYjRoxQerY9ODgYOjo6CA4ObtDjkRs2bEBISIhobfHbt2/XO4/A0qVLMWDAAAwbNgyenp6wtrbG5s2bRXmuXLmCBw8eiOoNDQ2Fi4sLpkyZgtDQUC4XRq8MifCSzz7w8OFDjB8/Hrt27YKpqSnmzZuHpUuXYvDgwXBzc0NsbCwuXbqEqqoquLq6Yv78+YrJIiorKzF//nysW7cOv//+OywsLNC1a1fMnTsXrq6uSEhIwNSpU3H//n212/P48WNER0cjMTERv//+OywtLeHv74/o6GilWRjlvLy84ObmJlr6LCoqSuWkaPHx8QgLC1P73JiamsJjynfQ0TOovwARERHV6sjC4BfdBCX5+flo164dTp8+3aDnbIkaIjc3F/b29jhx4oTaN2r++OMPODs74+TJk2jdurWGW0j015HHWA8ePICJiUmj1PnSB91UOwbdREREjedlDLoBYOvWrTA3N2/054uJKisr8eeffyIyMhLXr19HVlaW2mVPnjyJnJycepdgI3rVaCLofumf6SYiIiL6Jxs8ePCLbkK9kpKSMGHCBJXbWrVqhYsXL/7FLardoUOH0K9fv1q3FxcX/4WtebGysrLg7e0NJycnbNy4sUFlO3fuzJnDidTEoLuGupaC2LVrF+8yExEREdUwcOBAdOnSReW2+mYo/6t17twZZ8+efdHNeCl4eXlxnWuivwCD7hrqugi3aNHir2sIERER0SvC2NgYxsbGL7oZapFKpXWuoU5E1NgYdNfAizARERERERE1lpd+yTAiIiIiIiKiVxWDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWkIg24iIiIiIiIiDdF50Q2g57d3XiBMTExedDOIiIiIiIioBvZ0ExEREREREWkIg24iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxEREREREZGGMOgmIiIiIiIi0hAG3UREREREREQawqCbiIiIiIiISEMYdBMRERERERFpiM6LbgA9v5H/2Y0m+gYvuhlERESvtC0z3nnRTSAior8h9nQTERERERERaQiDbiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWkIg24iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxEREdFLzNPTE8nJyY1Sl0wmw7JlyxTvJRIJtm7d2ih1/9Ns3boVDg4O0NbWxtSpU1WmJSQkoGnTpmrXWfPzeZllZGTAzc0N1dXVL7opRC89Bt1EREREjSgsLAwSiUTp5efnh4qKClhYWCA2NlZl2Xnz5sHKygqVlZUAgLS0NNy5cwdBQUGKPDKZDJmZmcjMzIRMJvsrDolUmDBhAgICAnDz5k3MmzdPZdqIESNw9epVtes8ceIExo8fr6kmPxMvLy8kJCQgNzcXEolEke7n54cmTZogKSmpwXWWlZVh0qRJMDc3h5GREYYNG4Y7d+7UWUYQBHz++eewsbGBVCpF3759ce3aNVEemUym9Lur7bdG9Fdi0N1AXl5eKv8jfeedd0T5Ll26hIEDB8LU1BSGhobw8PBAXl6eUn2CIKBfv36800xERPQ34ufnh9u3b4teGzZsgK6uLt59913Ex8crlREEAQkJCRg1ahSaNGkCAIiLi8OYMWOgpfXP+5OtoqLiRTehVsXFxSgoKICvry9sbW1hbGysMk0qlaJ58+Zq12tpaQkDAwMNtrxxhYWFIS4ursHlpk2bhu3btyM1NRUHDx7ErVu3MHTo0DrLLFy4EHFxcVi5ciV++uknGBoawtfXF2VlZaJ8//73v0W/u8mTJze4fUSN7Z93Ba9DVVVVvUNkNm/eLPohX7hwAdra2ggMDFTkycnJQc+ePeHi4oLMzEycP38es2fPhr6+vlJ9y5YtE901JCIiolefnp4erK2tRa9mzZoBAMLDw3H16lUcPnxYVObgwYP49ddfER4eDgAoLCzE/v374e/vr9Y+c3JyMGjQIFhZWcHIyAgeHh7Yu3dvg9qdnZ0NHx8fSKVSmJubY/z48SguLhblWbNmDdq1awc9PT3Y2NggIiKi3npHjhyJESNGiNIqKythYWGBdevWAXjSsREREYGpU6fCwsICvr6+AIAlS5bA1dUVhoaGaNmyJSZOnChqk3wId3p6OpydnWFgYICAgACUlpZi7dq1kMlkaNasGaZMmYKqqiq1zkN5eTkiIyPRokULGBoaokuXLsjMzAQAZGZmwtjYGADg4+MDiURSa5qq4eXbt2+Hh4cH9PX1YWFhgSFDhii21Rxefv/+fYwbNw6WlpYwMTGBj48Pzp07p9geFRUFNzc3JCYmQiaTwdTUFEFBQSgqKlLkqa6uxsKFC+Hg4AA9PT3Y2dkhOjpa0daan19hYSF0dXWxb9++es+Tv78/Tp48iZycnPpP6v/34MEDrF69GkuWLIGPjw86deqE+Ph4HDlyBMeOHVNZRhAELFu2DJ999hkGDRqE9u3bY926dbh165ZSp5WxsbHod2doaKh224g05aUPulU92+Lm5oaoqCgIgoCoqCjY2dlBT08Ptra2mDJliiJfXRdM4P8u0mlpaWjbti309PRU9kY/zczMTPRD3rNnDwwMDERB96effor+/ftj4cKFcHd3h729PQYOHKh0p/Ps2bNYvHgx1qxZ8+wniIiIiF4prq6u8PDwUPr/Pz4+Ht27d4eLiwsA4PDhwzAwMECbNm3Uqre4uBj9+/fHvn37cObMGfj5+cHf37/ev23kSkpK4Ovri2bNmuHEiRNITU3F3r17RUHZihUrMGnSJIwfPx7Z2dlIS0uDg4NDvXWHhIRg+/btomB59+7dKC0tFQWda9euha6uLrKysrBy5UoAgJaWFuLi4nDx4kWsXbsW+/fvx8yZM0X1l5aWIi4uDikpKcjIyEBmZiaGDBmCnTt3YufOnUhMTMSqVauwceNGtc5FREQEjh49ipSUFJw/fx6BgYHw8/PDtWvX0L17d1y5cgUAsGnTJty+fbvWtJp27NiBIUOGoH///jhz5gz27duHN998s9Z2BAYGoqCgALt27cKpU6fQsWNH9OnTB3fv3lXkycnJwdatW5Geno709HQcPHhQNKR61qxZiI2NxezZs/Hzzz8jOTkZVlZWAIBx48YhOTkZ5eXlivzr169HixYt4OPjU+95srOzg5WVFQ4dOqRICwsLg5eXV61lTp06hcrKSvTt21eR5uLiAjs7Oxw9elRlmevXryM/P19UxtTUFF26dFEqExsbC3Nzc7i7u+PLL7/E48eP6z0OIk3TedENeB6bNm3C0qVLkZKSgnbt2iE/P1909y8iIgI///wzUlJSYGtriy1btsDPzw/Z2dlwdHQE8OQivWDBAnz33XcwNzdv0BAgAFi9ejWCgoIUd9Gqq6uxY8cOzJw5E76+vjhz5gxat26NWbNmYfDgwYpypaWlGDlyJP773//C2tr6+U8GERERvTTS09NhZGQkSvvkk0/wySefAHjS2x0ZGYm4uDgYGRmhqKgIGzduFA3VvXHjBqysrJSGlufm5qr8d4cOHdChQwfF+3nz5mHLli1IS0tTqzc6OTkZZWVlWLduneLvmq+//hr+/v5YsGABrKysMH/+fMyYMQMffvihopyHh0e9dfv6+sLQ0BBbtmxBaGioYn8DBw5U9BADgKOjIxYuXCgqK5+kDHjSGTN//ny8//77WL58uSK9srISK1asgL29PQAgICAAiYmJuHPnDoyMjNC2bVt4e3vjwIEDSj3uNeXl5SE+Ph55eXmwtbUFAERGRiIjIwPx8fH44osvFH8vyjtjAKhMqyk6OhpBQUGYO3euIu3pz+xphw8fxvHjx1FQUAA9PT0AwKJFi7B161Zs3LhR8ex3dXU1EhISFOcxNDQU+/btQ3R0NIqKivDVV1/h66+/xujRowEA9vb26NmzJwBg6NChiIiIwLZt2zB8+HAATzql5PMSABB1WAmCoNROW1tb3LhxQ/HexsamzpGj+fn50NXVVRoBYGVlhfz8/FrLyPPUVWbKlCno2LEjzMzMcOTIEcyaNQu3b9/GkiVLam0P0V/hlQ668/LyYG1tjb59+6JJkyaws7NT3C1U54IJPLlIL1++vNYLXl2OHz+OCxcuYPXq1Yq0goICFBcXIzY2FvPnz8eCBQuQkZGBoUOH4sCBA+jduzeAJ8+ydO/eHYMGDVJ7f+Xl5aI7kQ8fPmxwm4mIiEjzvL29sWLFClGamZmZ4t/BwcGYNm0afvjhB4wdOxbff/89tLS0RAHho0ePVD6aVpvi4mJERUVhx44duH37Nh4/foxHjx6p3dN96dIldOjQQTQct0ePHqiursaVK1cgkUhw69Yt9OnTR+02yeno6GD48OFISkpCaGgoSkpKsG3bNqSkpIjyderUSans3r17ERMTg8uXL+Phw4d4/PgxysrKUFpaqnj+2cDAQBFwA0+CMZlMJrrxYWVlhYKCgnrbmp2djaqqKjg5OYnSy8vLYW5u3qDjruns2bN477331Mp77tw5FBcXK+3z0aNHouHcMplMdOPCxsZGcZyXLl1CeXl5rZ+Zvr4+QkNDsWbNGgwfPhynT5/GhQsXkJaWpvYxSaVSlJaWKt7HxMSoXbaxTZ8+XfHv9u3bQ1dXFxMmTEBMTIzixgXRi/BKB92BgYFYtmwZXn/9dfj5+aF///7w9/eHjo6O2hdMXV1dtG/f/pn2v3r1ari6uoqGBcnv7A0aNAjTpk0D8GQ4/JEjR7By5Ur07t0baWlp2L9/P86cOdOg/cXExIjujBIREdHLydDQsM5h1yYmJggICEB8fDzGjh2L+Ph4DB8+XBQkWlhY4N69e2rvMzIyEnv27MGiRYvg4OAAqVSKgICARpuQTCqVPlf5kJAQ9O7dGwUFBdizZw+kUin8/PxEeWo+f5ubm4sBAwbggw8+QHR0NMzMzHD48GGEh4ejoqJCEXTLJ56Tk0gkKtPUWd6quLgY2traOHXqFLS1tUXbao5eaKiGnMPi4mLY2NiIeprlnu4lrus41dnfuHHj4Obmht9++w3x8fHw8fFBq1at1G7n3bt3YWlpqXZ+a2trVFRU4P79+6LjuHPnTq0jBOTpd+7cgY2NjaiMm5tbrfvq0qULHj9+jNzcXDg7O6vdRqLG9tI/062lpaU0lEW+jEbLli1x5coVLF++HFKpFBMnToSnpycqKytFF8yzZ88qXpcuXcJXX32lqEsqlT7TRGYlJSVISUlRTHYiZ2FhAR0dHbRt21aU3qZNG8Wd5v379yMnJwdNmzaFjo4OdHSe3PsYNmxYnc/AzJo1Cw8ePFC8bt682eB2ExER0cshPDwchw8fRnp6Oo4cOaL0N4W7uzvy8/PVDryzsrIQFhaGIUOGwNXVFdbW1qLh5/Vp06YNzp07h5KSElGdWlpacHZ2hrGxMWQymVoTbKnSvXt3tGzZEt9//z2SkpIQGBioFDDWdOrUKVRXV2Px4sXo2rUrnJyccOvWrWfav7rc3d1RVVWFgoICODg4iF7P+0hg+/bt1T5/HTt2RH5+PnR0dJTaYWFhoVYdjo6OkEqlde7T1dUVnTt3xrfffovk5GSMHTtWrbqBJ0t/5eTkwN3dXe0ynTp1QpMmTURtunLlCvLy8tCtWzeVZVq3bg1ra2tRmYcPH+Knn36qtQzwZGSBlpZWgx8fJWpsL31Pt6WlJW7fvq14//DhQ1y/fl3xXiqVwt/fH/7+/pg0aRJcXFyQnZ0tumD26tWr0duVmpqK8vJyvPvuu6J0XV1deHh4KCbTkLt69ariruHHH3+McePGiba7urpi6dKldc5Qqqenx6ExREREr4Dy8nKl51N1dHREwZKnpyccHBwwatQouLi4KE285e7uDgsLC2RlZWHAgAH17tPR0RGbN2+Gv78/JBIJZs+erVbPrlxISAjmzJmD0aNHIyoqCoWFhZg8eTJCQ0MVz9JGRUXh/fffR/PmzdGvXz8UFRUhKytL7WWZRo4ciZUrV+Lq1as4cOBAvfkdHBxQWVmJ//znP/D39xdNsKYpTk5OCAkJwahRo7B48WK4u7ujsLAQ+/btQ/v27ZWWiW2IOXPmoE+fPrC3t0dQUBAeP36MnTt34qOPPlLK27dvX3Tr1g2DBw/GwoULFTcc5JOxde7cud796evr46OPPsLMmTOhq6uLHj16oLCwEBcvXhTd5Bk3bhwiIiJgaGgomtiuPseOHYOenp4o8J01axZ+//13xaz0NZmamiI8PBzTp0+HmZkZTExMMHnyZHTr1g1du3ZV5HNxcUFMTAyGDBkCiUSCqVOnYv78+XB0dETr1q0xe/Zs2NraKuZMOnr0KH766Sd4e3vD2NgYR48exbRp0/Duu+8qVg4gelFe+qDbx8cHCQkJ8Pf3R9OmTfH5558rhvokJCSgqqoKXbp0gYGBAdavXw+pVIpWrVrB3NxcYxdM4MnQ8sGDB6t8tudf//oXRowYAU9PT3h7eyMjIwPbt29XDA+Sz3xek52dHVq3bv1c7SIiIqIXLyMjQzQMFgCcnZ1x+fJlxXuJRIKxY8fik08+waxZs5Tq0NbWxpgxY5CUlKRW0L1kyRKMHTsW3bt3h4WFBT766KMGzf9iYGCA3bt348MPP4SHhwcMDAwwbNgw0SRUo0ePRllZGZYuXYrIyEhYWFggICBA7X2EhIQgOjoarVq1Qo8ePerN36FDByxZsgQLFizArFmz4OnpiZiYGIwaNUrtfT6L+Ph4xaRxv//+OywsLNC1a1e1Poe6eHl5ITU1FfPmzUNsbCxMTEzg6empMq9EIsHOnTvx6aefYsyYMSgsLIS1tTU8PT2VJhSry+zZs6Gjo4PPP/8ct27dgo2NDd5//31RnuDgYEydOhXBwcENmkdgw4YNCAkJEa0tfvv27XrnEVi6dCm0tLQwbNgwlJeXw9fXVzQxHvCk9/vBgweK9zNnzkRJSQnGjx+P+/fvo2fPnsjIyFC0V09PDykpKYiKikJ5eTlat26NadOmiZ7zJnpRJIKqaQhfIg8fPsT48eOxa9cumJqaYt68eVi6dCkGDx4MNzc3xMbG4tKlS6iqqoKrqyvmz5+vmCyisrIS8+fPx7p160QXzLlz58LV1RUJCQmYOnUq7t+/36A2XblyBS4uLvjxxx/x1ltvqcyzZs0axMTE4LfffoOzszPmzp1b56RpEokEW7ZsEc1wXp+HDx/C1NQU78z/AU30DeovQERERLXaMuP5bshrQn5+Ptq1a4fTp0836DlboobIzc2Fvb09Tpw4gY4dO6pV5o8//oCzszNOnjzJTiP6W5HHWA8ePICJiUmj1PnSB91UOwbdREREjedlDLoBYOvWrTA3N9fI43L0z1ZZWYk///wTkZGRuH79OrKystQue/LkSeTk5NS7BBvRq0YTQfdLP7yciIiI6J+sIaPgXpSkpCRMmDBB5bZWrVrh4sWLf3GLanfo0CH069ev1u3FxcV/YWterKysLHh7e8PJyQkbN25sUNnOnTur9Vw5ETHoVlLXUhC7du3iXWYiIiKiGgYOHIguXbqo3FbfDOV/tc6dO+Ps2bMvuhkvBS8vL6VVgoio8THorqGui3CLFi3+uoYQERERvSKMjY1hbGz8opuhFqlUWuca6kREjY1Bdw28CBMREREREVFj0XrRDSAiIiIiIiL6u2LQTURERERERKQhDLqJiIiIiIiINIRBNxEREREREZGGMOgmIiIiIiIi0hAG3UREREREREQawqCbiIiIiIiISEMYdBMRERERERFpCINuIiIiIiIiIg1h0E1ERERERESkITovugH0/JIn+8LExORFN4OIiIiIiIhqYE83ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWkIg24iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxEREREREZGG6LzoBtDzi0w+Al2p4YtuBhER0XP7enSvF90EIiKiRsWebiIiIiIiIiINYdBNREREREREpCEMuomIiIiIiIg0hEE3ERERERERkYYw6CYiIiIiIiLSEAbdRERERERERBrCoJuIiIiIiIhIQxh0ExEREREREWkIg24iIiIiIiIiDWHQTURERERERKQhDLqJiIiIiIiINIRBNxEREREREZGGMOgmIiIiqoenpyeSk5MbpS6ZTIZly5Yp3kskEmzdurVR6v6n2bp1KxwcHKCtrY2pU6eqTEtISEDTpk3VrrPm5/Myy8jIgJubG6qrq190U4ioDgy6iYiI6G8nLCwMEolE6eXn54eKigpYWFggNjZWZdl58+bBysoKlZWVAIC0tDTcuXMHQUFBijwymQyZmZnIzMyETCb7Kw6JVJgwYQICAgJw8+ZNzJs3T2XaiBEjcPXqVbXrPHHiBMaPH6+pJj8TLy8vJCQkIDc3FxKJRJHu5+eHJk2aICkpqcF1lpWVYdKkSTA3N4eRkRGGDRuGO3fu1FlGEAR8/vnnsLGxgVQqRd++fXHt2jXF9tzcXISHh6N169aQSqWwt7fHnDlzUFFR0eD2Ef2dMOgmIiKivyU/Pz/cvn1b9NqwYQN0dXXx7rvvIj4+XqmMIAhISEjAqFGj0KRJEwBAXFwcxowZAy2tf96fTS9zsFRcXIyCggL4+vrC1tYWxsbGKtOkUimaN2+udr2WlpYwMDDQYMsbV1hYGOLi4hpcbtq0adi+fTtSU1Nx8OBB3Lp1C0OHDq2zzMKFCxEXF4eVK1fip59+gqGhIXx9fVFWVgYAuHz5Mqqrq7Fq1SpcvHgRS5cuxcqVK/HJJ58807ER/V388/73eE4JCQlKd8319fVFeTZv3oy3334b5ubmkEgkOHv2rGi7/C6lqldqaupfeDRERER/X3p6erC2tha9mjVrBgAIDw/H1atXcfjwYVGZgwcP4tdff0V4eDgAoLCwEPv374e/v79a+8zJycGgQYNgZWUFIyMjeHh4YO/evQ1qd3Z2Nnx8fCCVSmFubo7x48ejuLhYlGfNmjVo164d9PT0YGNjg4iIiHrrHTlyJEaMGCFKq6yshIWFBdatWwfgSY9qREQEpk6dCgsLC/j6+gIAlixZAldXVxgaGqJly5aYOHGiqE3yIdzp6elwdnaGgYEBAgICUFpairVr10Imk6FZs2aYMmUKqqqq1DoP5eXliIyMRIsWLWBoaIguXbogMzMTAJCZmQljY2MAgI+PDyQSSa1pqoaXb9++HR4eHtDX14eFhQWGDBmi2FZzePn9+/cxbtw4WFpawsTEBD4+Pjh37pxie1RUFNzc3JCYmAiZTAZTU1MEBQWhqKhIkae6uhoLFy6Eg4MD9PT0YGdnh+joaEVba35+hYWF0NXVxb59++o9T/7+/jh58iRycnLqP6n/34MHD7B69WosWbIEPj4+6NSpE+Lj43HkyBEcO3ZMZRlBELBs2TJ89tlnGDRoENq3b49169bh1q1biscj/Pz8EB8fj7fffhuvv/46Bg4ciMjISGzevFntthH9HTHofkpVVZVaz8SYmJiI7prfuHFDtL2kpAQ9e/bEggULVJZv2bKl0p33uXPnwsjICP369WuUYyEiIqLaubq6wsPDA2vWrBGlx8fHo3v37nBxcQEAHD58GAYGBmjTpo1a9RYXF6N///7Yt28fzpw5Az8/P/j7+yMvL0+t8iUlJfD19UWzZs1w4sQJpKamYu/evaKgbMWKFZg0aRLGjx+P7OxspKWlwcHBod66Q0JCsH37dlGwvHv3bpSWloqCzrVr10JXVxdZWVlYuXIlAEBLSwtxcXG4ePEi1q5di/3792PmzJmi+ktLSxEXF4eUlBRkZGQgMzMTQ4YMwc6dO7Fz504kJiZi1apV2Lhxo1rnIiIiAkePHkVKSgrOnz+PwMBA+Pn54dq1a+jevTuuXLkCANi0aRNu375da1pNO3bswJAhQ9C/f3+cOXMG+/btw5tvvllrOwIDA1FQUIBdu3bh1KlT6NixI/r06YO7d+8q8uTk5GDr1q1IT09Heno6Dh48KHp8YdasWYiNjcXs2bPx888/Izk5GVZWVgCAcePGITk5GeXl5Yr869evR4sWLeDj41PvebKzs4OVlRUOHTqkSAsLC4OXl1etZU6dOoXKykr07dtXkebi4gI7OzscPXpUZZnr168jPz9fVMbU1BRdunSptQzwJMA3MzOr9ziI/s5e+qBb1WQWbm5uiIqKgiAIiIqKgp2dHfT09GBra4spU6Yo8tV1hxT4v7uyaWlpaNu2LfT09NT6T1EikYjumssvmnKhoaH4/PPPRRelp2lrayvded+yZQuGDx8OIyMj9U8OERER1So9PR1GRkai1xdffKHYHh4ejtTUVEUQWlRUhI0bN2Ls2LGKPDdu3ICVlZXS0PLc3Fx4eXnBy8sLubm5ivQOHTpgwoQJeOONN+Do6Ih58+bB3t4eaWlparU5OTkZZWVlWLduHd544w34+Pjg66+/RmJiouJ52/nz52PGjBn48MMP4eTkBA8PD8UkYnXx9fWFoaEhtmzZItrfwIEDFT3EAODo6IiFCxfC2dkZzs7OAICpU6fC29sbMpkMPj4+mD9/Pn744QdR/ZWVlVixYgXc3d3h6emJgIAAHD58GKtXr0bbtm0xYMAAeHt748CBA/W2NS8vD/Hx8UhNTUWvXr1gb2+PyMhI9OzZE/Hx8dDV1VUMGTczM4O1tXWtaTVFR0cjKCgIc+fORZs2bdChQwfMmjVLZTsOHz6M48ePIzU1FZ07d4ajoyMWLVqEpk2bim4eVFdXIyEhAW+88QZ69eqF0NBQRS91UVERvvrqKyxcuBCjR4+Gvb09evbsiXHjxgGAYkj3tm3bFPUlJCQo5iUAnvTsh4WFQSaTQRAEpXba2tqKOoFsbGxgZ2dX6/nNz8+Hrq6u0ggAKysr5Ofn11pGnkfdMr/88gv+85//YMKECbW2heifQOdFN+B5bNq0CUuXLkVKSgratWuH/Px80XCfiIgI/Pzzz0hJSYGtrS22bNkCPz8/ZGdnw9HREcCTu7ILFizAd999B3Nzc7We+SkuLkarVq1QXV2Njh074osvvkC7du2e+ThOnTqFs2fP4r///W+d+crLy0V3QR8+fPjM+yQiIvq78/b2xooVK0RpT/e4BQcHY9q0afjhhx8wduxYfP/999DS0hINwX706JHSY2R1KS4uRlRUFHbs2IHbt2/j8ePHePTokdo93ZcuXUKHDh1gaGioSOvRoweqq6tx5coVSCQS3Lp1C3369FG7TXI6OjoYPnw4kpKSEBoaipKSEmzbtg0pKSmifJ06dVIqu3fvXsTExODy5ct4+PAhHj9+jLKyMpSWliqefzYwMIC9vb2ijJWVFWQymahDwcrKCgUFBfW2NTs7G1VVVXBychKll5eXw9zcvEHHXdPZs2fx3nvvqZX33LlzKC4uVtrno0ePRMO5ZTKZ6MaFjY2N4jgvXbqE8vLyWj8zfX19hIaGYs2aNRg+fDhOnz6NCxcuqH2jBgCkUilKS0sV72NiYtQuqym///47/Pz8EBgYqPb5Jvq7eqWD7ry8PFhbW6Nv375o0qQJ7OzsFMOD5HdI8/LyYGtrCwCIjIxERkYG4uPjFXe6KysrsXz5cnTo0EGtfTo7O2PNmjVo3749Hjx4gEWLFqF79+64ePEiXnvttWc6jtWrV6NNmzYqh0A9LSYmBnPnzn2mfRAREf3TGBoa1jns2sTEBAEBAYiPj8fYsWMRHx+vNOrMwsIC9+7dU3ufkZGR2LNnDxYtWgQHBwdIpVIEBAQ02oRkUqn0ucqHhISgd+/eKCgowJ49eyCVSuHn5yfK83TADzzp1R8wYAA++OADREdHw8zMDIcPH0Z4eDgqKioUQbd84jk5iUSiMk2dR/mKi4uhra2NU6dOQVtbW7TteUcFNuQcFhcXw8bGRjRSUu7pXuK6jlOd/Y0bNw5ubm747bffEB8fDx8fH7Rq1Urtdt69exeWlpZq57e2tkZFRQXu378vOo47d+7A2tq61jLyPDY2NqIybm5uory3bt2Ct7c3unfvjm+++UbtdhH9Xb30w8vrEhgYiEePHuH111/He++9hy1btuDx48cAxHdInx5WdvDgQdGdSV1dXbRv317tfXbr1g2jRo2Cm5sbevfujc2bN8PS0hKrVq16pmN49OgRkpOTFRO21GXWrFl48OCB4nXz5s1n2icRERE9ER4ejsOHDyM9PR1HjhxR+v/Y3d0d+fn5agfeWVlZCAsLw5AhQ+Dq6gpra2vR8PP6tGnTBufOnUNJSYmoTi0tLTg7O8PY2BgymUytCbZU6d69O1q2bInvv/8eSUlJCAwMVAoYazp16hSqq6uxePFidO3aFU5OTrh169Yz7V9d7u7uqKqqQkFBARwcHESv2oJCdbX/f+zdf1yN9/8/8MepVKefUvRrEv30IxUaYklsxYQmiVZKzbyHLdOb2YYM82N+rXlj740TVvKbNDIib4UhsobFIhklG0qiUuf7h2/Xx6Vfp9ZRzeN+u53bzXldr9d1Pc/VpdPzev24undX+Pz16NEDeXl5UFNTqxKHkZGRQvuwsbGBVCqt9ZgODg7o1asXvvvuO8TGxoqmONTlyZMnyMrKgrOzs8JtevbsiVatWoliyszMRE5ODvr27Vttm44dO8LExETUprCwED///LOoza1bt+Du7i4szvYqrvpP9KJm39OtoqJSZe5K5XMz27dvj8zMTBw+fBiHDh3CBx98gK+++grHjh1T+A6pVCoVPe+wvlq1agVnZ2f8/vvvDWq/Y8cOFBcXIygoqM66Ghoa0NDQaNBxiIiIXjUlJSVV5pqqqamJkiU3NzdYW1sjKCgI9vb2VUadOTs7w8jICKmpqRg2bFidx7SxscGuXbvg7e0NiUSC2bNnK9SzWykgIABz587F+PHjERkZibt372Lq1KkIDAwU5tJGRkZi0qRJaNeuHYYMGYKHDx8iNTUVU6dOVegY48aNw7p163DlyhWF5ldbW1ujrKwM33zzDby9vUULrCmLra0tAgICEBQUhOXLl8PZ2Rl3795FUlISunfvjrfffrvB+547dy4GDRoEKysr+Pv74+nTp9i/fz9mzpxZpe7gwYPRt29fjBw5EkuXLhVuOFQuxtarV686j6epqYmZM2dixowZUFdXR79+/XD37l1cvHhRdJMnLCwMU6ZMgba2tmhhu7qcOnUKGhoaosR31qxZuHXrlrAq/Yv09fURGhqKjz/+GG3atIGenh6mTp2Kvn37ok+fPkI9e3t7LFq0CD4+PpBIJAgPD8eCBQtgY2ODjh07Yvbs2TAzM8PIkSMB/F/C3aFDByxbtgx3794V9vV3b5YQtWTN/tZT27ZtkZubK7wvLCzE9evXhfdSqRTe3t6IiopCcnIyTp48iYyMDKXeIX1eeXk5MjIyRMNs6mP9+vUYPnx4vYYEERERUd0SExNhamoqevXv319URyKRYMKECbh//361vYuqqqoICQlBTEyMQsdcsWIFDAwM4OrqCm9vb3h6eqJHjx4Kx6ylpYWDBw/i3r17cHFxga+vLwYNGoTVq1cLdcaPH49Vq1ZhzZo16Nq1K4YNG4arV68qfIyAgABcunQJ5ubm6NevX531HR0dsWLFCixZsgTdunVDTEzMS5kzLJPJEBQUhOnTp8POzg4jR47EmTNnal0gTBHu7u7Yvn074uPj4eTkBA8PD5w+fbrauhKJBPv374ebmxtCQkJga2sLf39/YYE9Rc2ePRvTp0/HnDlz0LlzZ4wZM6bK3PaxY8dCTU0NY8eOrdc6Alu2bEFAQIDo2eK5ubl1riOwcuVKDBs2DKNGjYKbmxtMTEyqPNorMzMTBQUFwvsZM2Zg6tSpmDhxIlxcXFBUVITExEQh3kOHDuH3339HUlISXnvtNdH/PaJXmURe3RKIzcisWbMQHR2Nbdu2oXXr1pgzZw4OHz6M6dOnw9LSEuXl5ejduze0tLQgk8mwfPly3Lx5E4aGhnj33XeRmppa4x3S6OhohIeH48GDBwrH88UXX6BPnz6wtrbGgwcP8NVXX2HPnj1IS0tDly5dADybV5OTk4Pbt2/j7bffRlxcHOzs7ISVyiv9/vvvsLW1xf79+6vMp1JEYWEh9PX18d7aA1CXatfdgIiIqJlbPf6Npg6hiry8PHTt2hXnzp2r1zxbovrIzs6GlZUVzpw5o/CNmj///BN2dnY4e/YsOnbsqOQIiV4NlTlWQUEB9PT0GmWfzb6ne9asWRgwYACGDRuGt99+GyNHjhRWxmzdujW+++479OvXD927d8fhw4exb98+YYVJZdwhvX//Pt577z107twZQ4cORWFhIU6cOCEk3AAQHx8PZ2dnYeiTv78/nJ2dqwzF2rBhA1577TW89dZbDY6HiIiIlMvExATr169XeAVyovooKytDXl4ePv/8c/Tp06deIyOys7OxZs0aJtxEzVyz7+mmmrGnm4iI/mmaY093SxETE1Pj85A7dOiAixcvvuSIanb8+HEMGTKkxu2Vz05/FSQnJ2PgwIGwtbXFjh074ODg0NQhEb3SlNHT3ewXUiMiIiKiug0fPhy9e/eudltdK5S/bL169UJ6enpTh9EsuLu7V1k0mIj+WZh0v6C2Zz8eOHAAb7zBO/BERETU/Ojq6kJXV7epw1CIVCqt9RnqRET/JEy6X1DbXVdzc/OXFwgRERERERG1eA1Kujdu3AgjIyNhobAZM2bgv//9L7p06YItW7a06JU9edeViIiIiIiIGkuDVi//8ssvIZVKAQAnT57Ef/7zHyxduhRGRkaYNm1aowZIRERERERE1FI1qKf75s2bQo/wnj17MGrUKEycOBH9+vWDu7t7Y8ZHRERERERE1GI1qKdbR0cHf/31FwDgp59+wptvvgkA0NTUxOPHjxsvOiIiIiIiIqIWrEE93W+++SbCwsLg7OyMK1euYOjQoQCAixcvwtLSsjHjIyIiIiIiImqxGtTT/Z///Aeurq64e/cudu7cCUNDQwBAWloaxo4d26gBEhEREREREbVU9e7pfvr0KaKiojBz5ky89tprom3z5s1rtMCIiIiIiIiIWrp693Srqalh6dKlePr0qTLiISIiIiIiIvrHaNDw8kGDBuHYsWONHQsRERERERHRP0qDFlIbMmQIPvnkE2RkZKBnz57Q1tYWbR8+fHijBEdERERERETUkknkcrm8vo1UVGruIJdIJCgvL/9bQZFiCgsLoa+vj4KCAujp6TV1OERERERERC2aMnKsBvV0V1RUNMrBiYiIiIiIiP7JGjSn+3lPnjxpjDiIiIiIiIiI/nEalHSXl5dj/vz5MDc3h46ODq5duwYAmD17NtavX9+oARIRERERERG1VA1KuhcuXIjo6GgsXboU6urqQnm3bt3w/fffN1pwRERERERERC1Zg5LuTZs24b///S8CAgKgqqoqlDs6OuK3335rtOCIiIiIiIiIWrIGJd23bt2CtbV1lfKKigqUlZX97aCIiIiIiIiI/gkalHR36dIFx48fr1K+Y8cOODs7/+2giIiIiIiIiP4JGvTIsDlz5mD8+PG4desWKioqsGvXLmRmZmLTpk1ISEho7BiJiIiIiIiIWqQG9XSPGDEC+/btw+HDh6GtrY05c+bg8uXL2LdvH958883GjpGIiIiIiIioRZLI5XJ5UwdBDVNYWAh9fX0UFBRAT0+vqcMhIiIiIiJq0ZSRYzVoePnNmzchkUjw2muvAQBOnz6N2NhYdOnSBRMnTmyUwEhxq366AE0tnaYOg4iImsiMoVxPhYiIqLlq0PDycePG4ejRowCAvLw8DB48GKdPn8Znn32GL774olEDJCIiIiIiImqpGpR0//rrr3j99dcBANu2bYODgwNOnDiBmJgYREdHN2Z8RERERERERC1Wg5LusrIyaGhoAAAOHz6M4cOHAwDs7e2Rm5vbeNERERERERERtWANSrq7du2KdevW4fjx4zh06BC8vLwAALdv34ahoWGjBkhERERERETUUjUo6V6yZAm+/fZbDBgwAGPHjoWjoyMAID4+Xhh2TkRERERERPSqa9Dq5e7u7vjzzz9RWFgIAwMDoXzixInQ0tJqtOCIiIiIiIiIWrJ6Jd0GBgaQSCRVyvX19WFra4uIiAi8+eabjRYcERERERERUUtWr6R71apV1ZY/ePAAaWlpGDZsGHbs2AFvb+/GiI2IiIiIiIioRatX0j1+/Phatzs5OWHRokVMuomIiIiIiIjQwIXUajJs2DD89ttvjblLIiIiIiIioharUZPukpISqKurN+YuiYiIiIiIiFqsRk26169fDycnp8bcJREREREREVGLVa+k++OPP672FRoaCmdnZ3z33XdYuHChsmIlIiKiFsTNzQ2xsbGNsi9LS0vRgq4SiQR79uxplH2/avbs2QNra2uoqqoiPDy82rLo6Gi0bt1a4X2++PNpzhITE+Hk5ISKioqmDoWIXhH1SrrPnz9f7evPP//Em2++iV9//RU9e/ZUVqxERESkRMHBwZBIJFVeXl5eKC0thZGRERYvXlxt2/nz58PY2BhlZWUAgPj4eNy5cwf+/v5CHUtLSyQnJyM5ORmWlpYv4yNRNd5//334+vri5s2bmD9/frVlY8aMwZUrVxTe55kzZzBx4kRlhdwg7u7uiI6ORnZ2tuiRt15eXmjVqhViYmLqvc8nT55g8uTJMDQ0hI6ODkaNGoU7d+7U2kYul2POnDkwNTWFVCrF4MGDcfXqVVGd4cOHw8LCApqamjA1NUVgYCBu375d7/iIqHmqV9J99OjRal979+7F0qVL0bFjR2XF2Wzs2rULvXr1QuvWraGtrQ0nJyds3ry5Sp233noLhoaGkEgkSE9Pr7Kf//73v3B3d4eenh4kEgkePHjwcj4AERFRLby8vJCbmyt6bdmyBerq6nj33Xchk8mqtJHL5YiOjkZQUBBatWoFAIiKikJISAhUVBp1JluLUFpa2tQh1KioqAj5+fnw9PSEmZkZdHV1qy2TSqVo166dwvtt27YttLS0lBh54woODkZUVFS9202bNg379u3D9u3bcezYMdy+fRvvvPNOrW2WLl2KqKgorFu3Dj///DO0tbXh6emJJ0+eCHUGDhyIbdu2ITMzEzt37kRWVhZ8fX3rHR8RNU+v3jdhLcrLy+scatSmTRt89tlnOHnyJH755ReEhIQgJCQEBw8eFOo8evQI/fv3x5IlS2rcT3FxMby8vPDpp582WvxERER/l4aGBkxMTEQvAwMDAEBoaCiuXLmClJQUUZtjx47h2rVrCA0NBQDcvXsXR44cUfgRollZWRgxYgSMjY2ho6MDFxcXHD58uF5xZ2RkwMPDA1KpFIaGhpg4cSKKiopEdTZs2ICuXbtCQ0MDpqammDJlSp37HTduHMaMGSMqKysrg5GRETZt2gTgWY/qlClTEB4eDiMjI3h6egIAVqxYAQcHB2hra6N9+/b44IMPRDFVDuFOSEiAnZ0dtLS04Ovri+LiYmzcuBGWlpYwMDDAhx9+iPLycoXOQ0lJCSIiImBubg5tbW307t0bycnJAIDk5GTo6uoCADw8PCCRSGosq254+b59++Di4gJNTU0YGRnBx8dH2Pbi8PIHDx4gLCwMbdu2hZ6eHjw8PHDhwgVhe2RkpNBxYWlpCX19ffj7++Phw4dCnYqKCixduhTW1tbQ0NCAhYWFMI3Rw8Ojys/v7t27UFdXR1JSUp3nydvbG2fPnkVWVlbdJ/X/KygowPr167FixQp4eHigZ8+ekMlkOHHiBE6dOlVtG7lcjlWrVuHzzz/HiBEj0L17d2zatAm3b98WTY+YNm0a+vTpgw4dOsDV1RWffPIJTp06JYwcIaKWrdkn3dXNEXJyckJkZCTkcjkiIyNhYWEBDQ0NmJmZ4cMPPxTq1fbFA/zfl118fDy6dOkCDQ0N5OTk1BqPu7s7fHx80LlzZ1hZWeGjjz5C9+7dRX+ABAYGYs6cORg8eHCN+wkPD8cnn3yCPn361O+EEBERNREHBwe4uLhgw4YNonKZTAZXV1fY29sDAFJSUqClpYXOnTsrtN+ioiIMHToUSUlJOH/+PLy8vODt7V3nd3KlR48ewdPTEwYGBjhz5gy2b9+Ow4cPi5KytWvXYvLkyZg4cSIyMjIQHx8Pa2vrOvcdEBCAffv2iZLlgwcPori4WJR0bty4Eerq6khNTcW6desAACoqKoiKisLFixexceNGHDlyBDNmzBDtv7i4GFFRUYiLi0NiYiKSk5Ph4+OD/fv3Y//+/di8eTO+/fZb7NixQ6FzMWXKFJw8eRJxcXH45ZdfMHr0aHh5eeHq1atwdXVFZmYmAGDnzp3Izc2tsexFP/74I3x8fDB06FCcP38eSUlJeP3112uMY/To0cjPz8eBAweQlpaGHj16YNCgQbh3755QJysrC3v27EFCQgISEhJw7Ngx0fSFWbNmYfHixZg9ezYuXbqE2NhYGBsbAwDCwsIQGxuLkpISof4PP/wAc3NzeHh41HmeLCwsYGxsjOPHjwtlwcHBcHd3r7FNWloaysrKRH/f2dvbw8LCAidPnqy2zfXr15GXlydqo6+vj969e9fY5t69e4iJiYGrq6swcoSIWja1pg7g79i5cydWrlyJuLg4dO3aFXl5eaK7qFOmTMGlS5cQFxcHMzMz7N69G15eXsjIyICNjQ2AZ192S5Yswffffw9DQ8N6DaWSy+U4cuQIMjMza+3VJiIiaikSEhKgo6MjKvv000+FkVmhoaGIiIhAVFQUdHR08PDhQ+zYsUM0VPfGjRswNjauMrQ8Ozu72n87OjrC0dFReD9//nzs3r0b8fHxCvVGx8bG4smTJ9i0aRO0tbUBAKtXr4a3tzeWLFkCY2NjLFiwANOnT8dHH30ktHNxcalz356entDW1sbu3bsRGBgoHG/48OFCDzEA2NjYYOnSpaK2lYuUAc86ERYsWIBJkyZhzZo1QnlZWRnWrl0LKysrAICvry82b96MO3fuQEdHB126dMHAgQNx9OjRKj3uL8rJyYFMJkNOTg7MzMwAABEREUhMTIRMJsOXX34p/J3Tpk0bmJiYAEC1ZS9auHAh/P39MW/ePKHs+Z/Z81JSUnD69Gnk5+dDQ0MDALBs2TLs2bMHO3bsEOZ+V1RUIDo6WjiPgYGBSEpKwsKFC/Hw4UN8/fXXWL16NcaPHw8AsLKyQv/+/QEA77zzDqZMmYK9e/fCz88PwLPOlMp1CQCIOlrkcnmVOM3MzHDjxg3hvampaa0jHvPy8qCurl5lBICxsTHy8vJqbFNZp642M2fOxOrVq1FcXIw+ffogISGhxliIqGVp0Ul3Tk4OTExMMHjwYLRq1QoWFhbCXVdFvniAZ192a9asqfGLozoFBQUwNzdHSUkJVFVVsWbNGrz55puN/wFfUFJSIrqjW1hYqPRjEhHRq2XgwIFYu3atqKxNmzbCv8eOHYtp06Zh27ZtmDBhArZu3QoVFRVRQvj48WNoamoqfMyioiJERkbixx9/RG5uLp4+fYrHjx8r3NN9+fJlODo6Cgk3APTr1w8VFRXIzMyERCLB7du3MWjQIIVjqqSmpgY/Pz/ExMQgMDAQjx49wt69exEXFyeqV91CsocPH8aiRYvw22+/obCwEE+fPsWTJ09QXFwszH/W0tISEm7gWTJmaWkpuvFhbGyM/Pz8OmPNyMhAeXk5bG1tReUlJSUwNDSs1+d+UXp6Ot577z2F6l64cAFFRUVVjvn48WPRcG5LS0vRjQtTU1Phc16+fBklJSU1/sw0NTURGBiIDRs2wM/PD+fOncOvv/6K+Ph4hT+TVCpFcXGx8H7RokUKt1WGf//73wgNDcWNGzcwb948BAUFISEhQbQIHBG1TC066R49ejRWrVqFTp06wcvLC0OHDoW3tzfU1NQU/uJRV1dH9+7d63VcXV1dpKeno6ioCElJSfj444/RqVOnWockNYZFixaJ7jATERE1Nm1t7VqHXevp6cHX1xcymQwTJkyATCaDn5+fKEk0MjLC/fv3FT5mREQEDh06hGXLlsHa2hpSqRS+vr6NtiCZVCr9W+0DAgIwYMAA5Ofn49ChQ5BKpfDy8hLVeT7hB5715A8bNgz/+te/sHDhQrRp0wYpKSkIDQ1FaWmpkHS/OHxYIpFUW6bI462KioqgqqqKtLQ0qKqqira9OHqhvupzDouKimBqairqaa70fC9xbZ9TkeOFhYXByckJf/zxB2QyGTw8PNChQweF47x37x7atm2rcH0TExOUlpbiwYMHos9x586dGkcIVJbfuXMHpqamojZOTk6iukZGRjAyMoKtrS06d+6M9u3b49SpU+jbt6/CMRJR89Ts53SrqKhUGRJUuahE+/btkZmZiTVr1kAqleKDDz6Am5sbysrKRF886enpwuvy5cv4+uuvhX1JpdJ630FUUVGBtbU1nJycMH36dPj6+r6Uu6OzZs1CQUGB8Lp586bSj0lERPSi0NBQpKSkICEhASdOnBAWUKvk7OyMvLw8hRPv1NRUBAcHw8fHBw4ODjAxMRENP69L586dceHCBTx69Ei0TxUVFdjZ2UFXVxeWlpYKLbBVHVdXV7Rv3x5bt25FTEwMRo8eXedc27S0NFRUVGD58uXo06cPbG1tlf4IKGdnZ5SXlyM/Px/W1taiV01JoaK6d++u8Pnr0aMH8vLyoKamViUOIyMjhfZhY2MDqVRa6zEdHBzQq1cvfPfdd4iNjcWECRMU2jfw7NFfWVlZcHZ2VrhNz5490apVK1FMmZmZyMnJqTEx7tixI0xMTERtCgsL8fPPP9eaTFfefHh+hCMRtVzNvqe7bdu2yM3NFd4XFhbi+vXrwnupVApvb294e3tj8uTJsLe3R0ZGhuiL54033lBqjBUVFS/ll6KGhoYwN4qIiEgZSkpKqsw1VVNTEyVLbm5usLa2RlBQEOzt7assvOXs7AwjIyOkpqZi2LBhdR7TxsYGu3btgre3NyQSCWbPnq1Qz26lgIAAzJ07F+PHj0dkZCTu3r2LqVOnIjAwUJhLGxkZiUmTJqFdu3YYMmQIHj58iNTUVEydOlWhY4wbNw7r1q3DlStXcPTo0TrrW1tbo6ysDN988w28vb1FC6wpi62tLQICAhAUFITly5fD2dkZd+/eRVJSErp374633367wfueO3cuBg0aBCsrK/j7++Pp06fYv38/Zs6cWaXu4MGD0bdvX4wcORJLly4VbjhULsbWq1evOo+nqamJmTNnYsaMGVBXV0e/fv1w9+5dXLx4UXSTJywsDFOmTIG2trZoYbu6nDp1ChoaGqLEd9asWbh165awKv2L9PX1ERoaio8//hht2rSBnp4epk6dir59+4oWxrW3t8eiRYvg4+MDiUSC8PBwLFiwADY2NujYsSNmz54NMzMzjBw5EgDw888/48yZM+jfvz8MDAyQlZWF2bNnw8rKir3cRP8Qzb6n28PDA5s3b8bx48eRkZGB8ePHC0OmoqOjsX79evz666+4du0afvjhB0ilUnTo0EH0xbNr1y5cv34dp0+fxqJFi/Djjz82OJ5Fixbh0KFDuHbtGi5fvozly5dj8+bNePfdd4U69+7dQ3p6Oi5dugTg2V3Q9PR00R8xeXl5SE9Px++//w7g2Tys9PR00aqeREREL1tiYiJMTU1Fr8rFqypJJBJMmDAB9+/fr7Z3UVVVFSEhIYiJiVHomCtWrICBgQFcXV3h7e0NT09P9OjRQ+GYtbS0cPDgQdy7dw8uLi7w9fXFoEGDsHr1aqHO+PHjsWrVKqxZswZdu3bFsGHDcPXqVYWPERAQgEuXLsHc3Bz9+vWrs76joyNWrFiBJUuWoFu3boiJiXkpo+JkMhmCgoIwffp02NnZYeTIkThz5gwsLCz+1n7d3d2xfft2xMfHw8nJCR4eHjh9+nS1dSUSCfbv3w83NzeEhITA1tYW/v7+wgJ7ipo9ezamT5+OOXPmoHPnzhgzZkyVue1jx46Fmpoaxo4dW691BLZs2YKAgADRs8Vzc3PrXEdg5cqVGDZsGEaNGgU3NzeYmJhg165dojqZmZkoKCgQ3s+YMQNTp07FxIkT4eLigqKiIiQmJgrxamlpYdeuXRg0aBDs7OwQGhqK7t2749ixY+xsIfqHkMirW86xGSksLMTEiRNx4MAB6OvrY/78+Vi5ciVGjhwJJycnLF68GJcvX0Z5eTkcHBywYMECYdGNsrIyLFiwAJs2bcKtW7dgZGSEPn36YN68eXBwcEB0dDTCw8Px4MEDheP5/PPPsXXrVvzxxx+QSqWwt7fHRx99JFpAJjo6GiEhIVXazp07F5GRkQCe3XGvbn62TCZDcHCwwudGX18f87b/D5paf2+uFhERtVwzhio+RPZlycvLQ9euXXHu3Ll6zbMlqo/s7GxYWVnhzJkzCt+o+fPPP2FnZ4ezZ8+iY8eOSo6QiFqayhyroKAAenp6jbLPZp90U82YdBMREdA8k24A2LNnDwwNDZU+zYtePWVlZfjrr78QERGB69evIzU1VeG2Z8+eRVZWVp2PYCOiV5Myku5mP6ebiIiIWqbKOavNWUxMDN5///1qt3Xo0AEXL158yRHV7Pjx4xgyZEiN24uKil5iNE0rNTUVAwcOhK2tLXbs2FGvtr169VJoXjkRUWNh0v2C2h6pceDAAd6tJyIi+gcZPnw4evfuXe22ulYof9l69eqF9PT0pg6jWXB3d6/ydBsiouaKSfcLavsyMzc3f3mBEBERkdLp6upCV1e3qcNQiFQqrfUZ6kRE1Dwx6X4Bv8yIiIiIiIiosTT7R4YRERERERERtVRMuomIiIiIiIiUhEk3ERERERERkZIw6SYiIiIiIiJSEibdRERERERERErCpJuIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlEStqQOgvy/8LUfo6ek1dRhERERERET0AvZ0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpiVpTB0B/366zWdDS0WnqMIiIqIn4vW7T1CEQERFRDdjTTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERESkFG5uboiNjW2UfVlaWmLVqlXCe4lEgj179jTKvl81e/bsgbW1NVRVVREeHl5tWXR0NFq3bq3wPl/8+TRniYmJcHJyQkVFRVOHQkSvCCbdREREBAAIDg6GRCKp8vLy8kJpaSmMjIywePHiatvOnz8fxsbGKCsrAwDEx8fjzp078Pf3F+pYWloiOTkZycnJsLS0fBkfiarx/vvvw9fXFzdv3sT8+fOrLRszZgyuXLmi8D7PnDmDiRMnKivkBnF3d0d0dDSys7MhkUiEci8vL7Rq1QoxMTH13ueTJ08wefJkGBoaQkdHB6NGjcKdO3dqrF9WVoaZM2fCwcEB2traMDMzQ1BQEG7fvi2qt3DhQri6ukJLS6teNzuIqGVg0k1EREQCLy8v5Obmil5btmyBuro63n33Xchksipt5HI5oqOjERQUhFatWgEAoqKiEBISAhWVV+9PjdLS0qYOoUZFRUXIz8+Hp6cnzMzMoKurW22ZVCpFu3btFN5v27ZtoaWlpcTIG1dwcDCioqLq3W7atGnYt28ftm/fjmPHjuH27dt45513aqxfXFyMc+fOYfbs2Th37hx27dqFzMxMDB8+XFSvtLQUo0ePxr/+9a96x0REzd+r901Yi4sXL2LUqFGwtLSERCKpcZjUf/7zH1haWkJTUxO9e/fG6dOnRdv/+9//wt3dHXp6epBIJHjw4EG1+/nxxx/Ru3dvSKVSGBgYYOTIkY37gYiIiOpJQ0MDJiYmopeBgQEAIDQ0FFeuXEFKSoqozbFjx3Dt2jWEhoYCAO7evYsjR47A29tboWNmZWVhxIgRMDY2ho6ODlxcXHD48OF6xZ2RkQEPDw9IpVIYGhpi4sSJKCoqEtXZsGEDunbtCg0NDZiammLKlCl17nfcuHEYM2aMqKysrAxGRkbYtGkTgGc9qlOmTEF4eDiMjIzg6ekJAFixYoXQw9m+fXt88MEHopgqh3AnJCTAzs4OWlpa8PX1RXFxMTZu3AhLS0sYGBjgww8/RHl5uULnoaSkBBERETA3N4e2tjZ69+6N5ORkAEBycjJ0dXUBAB4eHpBIJDWWVTe8fN++fXBxcYGmpiaMjIzg4+MjbHtxePmDBw8QFhaGtm3bQk9PDx4eHrhw4YKwPTIyEk5OTti8eTMsLS2hr68Pf39/PHz4UKhTUVGBpUuXwtraGhoaGrCwsMDChQuFWF/8+d29exfq6upISkqq8zx5e3vj7NmzyMrKqvuk/n8FBQVYv349VqxYAQ8PD/Ts2RMymQwnTpzAqVOnqm2jr6+PQ4cOwc/PD3Z2dujTpw9Wr16NtLQ05OTkCPXmzZuHadOmwcHBQeF4iKjleGWS7vLy8jrn7hQXF6NTp05YvHgxTExMqq2zdetWfPzxx5g7dy7OnTsHR0dHeHp6Ij8/X7QfLy8vfPrppzUea+fOnQgMDERISAguXLiA1NRUjBs3rmEfjoiI6CVwcHCAi4sLNmzYICqXyWRwdXWFvb09ACAlJQVaWlro3LmzQvstKirC0KFDkZSUhPPnz8PLywve3t6ipKQ2jx49gqenJwwMDHDmzBls374dhw8fFiVla9euxeTJkzFx4kRkZGQgPj4e1tbWde47ICAA+/btEyXLBw8eRHFxsSjp3LhxI9TV1ZGamop169YBAFRUVBAVFYWLFy9i48aNOHLkCGbMmCHaf3FxMaKiohAXF4fExEQkJyfDx8cH+/fvx/79+7F582Z8++232LFjh0LnYsqUKTh58iTi4uLwyy+/YPTo0fDy8sLVq1fh6uqKzMxMAM/+DsnNza2x7EU//vgjfHx8MHToUJw/fx5JSUl4/fXXa4xj9OjRyM/Px4EDB5CWloYePXpg0KBBuHfvnlAnKysLe/bsQUJCAhISEnDs2DHR9IVZs2Zh8eLFmD17Ni5duoTY2FgYGxsDAMLCwhAbG4uSkhKh/g8//ABzc3N4eHjUeZ4sLCxgbGyM48ePC2XBwcFwd3evsU1aWhrKysowePBgocze3h4WFhY4efJkncesVFBQAIlEwmHkRK+QJk26q1t0w8nJCZGRkZDL5YiMjISFhQU0NDRgZmaGDz/8UKhX251c4P/uHsfHx6NLly7Q0NCo88vbxcUFX331Ffz9/aGhoVFtnRUrVuC9995DSEgIunTpgnXr1kFLS0v0B0h4eDg++eQT9OnTp9p9PH36FB999BG++uorTJo0Cba2tujSpQv8/PzqOGNERETKlZCQAB0dHdHryy+/FLaHhoZi+/btQhL68OFD7NixAxMmTBDq3LhxA8bGxlWGlmdnZ8Pd3R3u7u7Izs4Wyh0dHfH++++jW7dusLGxwfz582FlZYX4+HiFYo6NjcWTJ0+wadMmdOvWDR4eHli9ejU2b94szLddsGABpk+fjo8++gi2trZwcXERFhGrjaenJ7S1tbF7927R8YYPHy70EAOAjY0Nli5dCjs7O9jZ2QF49vfAwIEDYWlpCQ8PDyxYsADbtm0T7b+srAxr166Fs7Mz3Nzc4Ovri5SUFKxfvx5dunTBsGHDMHDgQBw9erTOWHNyciCTybB9+3a88cYbsLKyQkREBPr37w+ZTAZ1dXVhyHibNm1gYmJSY9mLFi5cCH9/f8ybNw+dO3eGo6MjZs2aVW0cKSkpOH36NLZv345evXrBxsYGy5YtQ+vWrUU3DyoqKhAdHY1u3brhjTfeQGBgoNBL/fDhQ3z99ddYunQpxo8fDysrK/Tv3x9hYWEAIAzp3rt3r7C/6OhoYV0C4FnPfnBwMCwtLSGXy6vEaWZmhhs3bgjvTU1NYWFhUeP5zcvLg7q6epVk2djYGHl5eTW2e96TJ08wc+ZMjB07Fnp6egq1IaKWT62pA6jJzp07sXLlSsTFxaFr167Iy8sTDUuaMmUKLl26hLi4OJiZmWH37t3w8vJCRkYGbGxsADy7e7xkyRJ8//33MDQ0rNfcpOqUlpYiLS1N9CWjoqKCwYMH1+sO57lz53Dr1i2oqKjA2dkZeXl5cHJywldffYVu3brV2K6kpER0R7ewsLBhH4SIiKgGAwcOxNq1a0Vlbdq0Ef49duxYTJs2Ddu2bcOECROwdetWqKioiIZgP378GJqamgofs6ioCJGRkfjxxx+Rm5uLp0+f4vHjxwr3dF++fBmOjo7Q1tYWyvr164eKigpkZmZCIpHg9u3bGDRokMIxVVJTU4Ofnx9iYmIQGBiIR48eYe/evYiLixPV69mzZ5W2hw8fxqJFi/Dbb7+hsLAQT58+xZMnT1BcXCzMf9bS0oKVlZXQxtjYGJaWltDR0RGVPT+iriYZGRkoLy+Hra2tqLykpASGhob1+twvSk9Px3vvvadQ3QsXLqCoqKjKMR8/fiwazm1paSm6cWFqaip8zsuXL6OkpKTGn5mmpiYCAwOxYcMG+Pn54dy5c/j1118VvlEDAFKpFMXFxcL7RYsWKdy2IcrKyuDn5we5XF7l/xgR/bM126Q7JycHJiYmGDx4MFq1agULCwthGFPlndycnByYmZkBACIiIpCYmAiZTCbckS8rK8OaNWvg6OjYKDH9+eefKC8vF4Y2VTI2NsZvv/2m8H6uXbsG4Nl8phUrVsDS0hLLly+Hu7s7rly5Ivrj5nmLFi3CvHnzGv4BiIiI6qCtrV3rsGs9PT34+vpCJpNhwoQJkMlk8PPzEyWJRkZGuH//vsLHjIiIwKFDh7Bs2TJYW1tDKpXC19e30RYkk0qlf6t9QEAABgwYgPz8fBw6dAhSqRReXl6iOs8n/MCzXv1hw4bhX//6FxYuXIg2bdogJSUFoaGhKC0tFZLuyoXnKkkkkmrLFHm8VVFREVRVVZGWlgZVVVXRtud/Pg1Rn3NYVFQEU1NT0QjESs/3Etf2ORU5XlhYGJycnPDHH39AJpPBw8MDHTp0UDjOe/fuoW3btgrXNzExQWlpKR48eCD6HHfu3KlxWmKlyoT7xo0bOHLkCHu5iV4xzXZO9+jRo/H48WN06tQJ7733Hnbv3o2nT58CEN/JfX7427Fjx0R3UNXV1dG9e/em+gg1qvxC+eyzzzBq1ChhIQ6JRILt27fX2G7WrFkoKCgQXjdv3nxZIRMREQlCQ0ORkpKChIQEnDhxQlhArVLlKC5FE+/U1FQEBwfDx8cHDg4OMDExEQ0/r0vnzp1x4cIFPHr0SLRPFRUV2NnZQVdXF5aWlgotsFUdV1dXtG/fHlu3bkVMTAxGjx5dJWF8UVpaGioqKrB8+XL06dMHtra2VR4T1dicnZ1RXl6O/Px8WFtbi151JYV16d69u8Lnr0ePHsjLy4OamlqVOIyMjBTah42NDaRSaa3HdHBwQK9evfDdd98hNjZWNMWhLk+ePEFWVhacnZ0VbtOzZ0+0atVKFFNmZiZycnLQt2/fGttVJtxXr17F4cOH//aoAyJqeZq0p1tFRaXKHJvK53u2b98emZmZOHz4MA4dOoQPPvgAX331FY4dO6bwnVypVCp6LuPfZWRkBFVV1SrPY1TkDufzTE1NAQBdunQRyjQ0NNCpU6dah9JpaGjUONeciIioMZSUlFSZn6qmpiZKltzc3GBtbY2goCDY29tXWXjL2dkZRkZGSE1NxbBhw+o8po2NDXbt2gVvb29IJBLMnj1boZ7dSgEBAZg7dy7Gjx+PyMhI3L17F1OnTkVgYKAwOi0yMhKTJk1Cu3btMGTIEDx8+BCpqamYOnWqQscYN24c1q1bhytXrig0v9ra2hplZWX45ptv4O3tLVpgTVlsbW0REBCAoKAgLF++HM7Ozrh79y6SkpLQvXt3vP322w3e99y5czFo0CBYWVnB398fT58+xf79+zFz5swqdQcPHoy+ffti5MiRWLp0qXDDoXIxtl69etV5PE1NTcycORMzZsyAuro6+vXrh7t37+LixYuimzxhYWGYMmUKtLW1RQvb1eXUqVPQ0NAQJcuzZs3CrVu3hFXpX6Svr4/Q0FB8/PHHaNOmDfT09DB16lT07dtXtI6Pvb09Fi1aBB8fH5SVlcHX1xfnzp1DQkICysvLhf9fbdq0EebP5+Tk4N69e8jJyUF5eTnS09MBPLuO/u4oBSJqek3a0922bVvk5uYK7wsLC3H9+nXhvVQqhbe3N6KiopCcnIyTJ08iIyNDqXdya6Ouro6ePXuK7nBWVFQgKSmp1jucL+rZsyc0NDSE1UKBZzcbsrOz6zUsioiIqLElJibC1NRU9Orfv7+ojkQiwYQJE3D//v1qexdVVVUREhKCmJgYhY65YsUKGBgYwNXVFd7e3vD09ESPHj0UjllLSwsHDx7EvXv34OLiAl9fXwwaNAirV68W6owfPx6rVq3CmjVr0LVrVwwbNgxXr15V+BgBAQG4dOkSzM3N0a9fvzrrOzo6YsWKFViyZAm6deuGmJgYpc8ZBp6tJB8UFITp06fDzs4OI0eOxJkzZ2pdIEwR7u7u2L59O+Lj4+Hk5AQPD48qj0ytJJFIsH//fri5uSEkJAS2trbw9/cXFthT1OzZszF9+nTMmTMHnTt3xpgxY6rMbR87dizU1NQwduzYeq0jsGXLFgQEBIieLZ6bm1vnOgIrV67EsGHDMGrUKLi5ucHExAS7du0S1cnMzERBQQEA4NatW4iPj8cff/wBJycn0f+rEydOCG3mzJkDZ2dnzJ07F0VFRXB2doazszPOnj2r8GciouZLIq9uOceXZNasWYiOjsa2bdvQunVrzJkzB4cPH8b06dNhaWmJ8vJy9O7dG1paWpDJZFi+fDlu3rwJQ0NDvPvuu0hNTa3xTm50dDTCw8NrfEZ2dUpLS3Hp0iUAwNChQxEQEICAgADo6OgI89u2bt2K8ePH49tvv8Xrr7+OVatWYdu2bfjtt9+EL5K8vDzk5eXh7NmzeO+99/C///0Purq6sLCwEOZrh4eHY8eOHdiwYQM6dOiAr776Cvv27cNvv/0mPA+1LoWFhdDX14cs6Ry0eBeUiOiV5fe6TVOHUEVeXh66du2Kc+fO8YYyKU12djasrKxw5swZhW/U/Pnnn7Czs8PZs2fRsWNHJUdIRC1NZY5VUFDQaOsvNOnw8lmzZuH69esYNmwY9PX1MX/+fKGnu3Xr1li8eDE+/vhjlJeXw8HBAfv27RPmwchkMuHxH7du3YKRkRH69Omj0DC2mty+fVs0t2fZsmVYtmwZBgwYICwGMmbMGNy9exdz5swRVh1PTEwU3bldt26daMEzNzc3Iebg4GAAwFdffQU1NTUEBgbi8ePH6N27N44cOaJwwk1ERNScmZiYYP369cjJyWHSTY2urKwMf/31Fz7//HP06dOnXiMjsrOzsWbNGibcRPTSNGlPN/097OkmIiKgefZ0txQxMTF4//33q93WoUMHXLx48SVHVLPjx49jyJAhNW6vfHb6qyA5ORkDBw6Era0tduzYAQcHh6YOiYj+If5xPd1ERERETWn48OHo3bt3tdvqWqH8ZevVq5ewwNarzt3dvcpivEREzdUrlXTXtvrjgQMH8MYbb7zEaIiIiKip6erqQldXt6nDUIhUKq31GepERNQ8vVJJd213h83NzV9eIERERERERPRKeKWSbt4dJiIiIiIiopepSZ/TTURERERERPRPxqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESqLW1AHQ3/dOLyvo6ek1dRhERERERET0AvZ0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpiVpTB0B/389X70Bbp7ipwyAioibiamfS1CEQERFRDdjTTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESsKkm4iIiJTCzc0NsbGxjbIvS0tLrFq1SngvkUiwZ8+eRtn3q2bPnj2wtraGqqoqwsPDqy2Ljo5G69atFd7niz+f5iwxMRFOTk6oqKho6lCI6BXBpJuIiIgAAMHBwZBIJFVeXl5eKC0thZGRERYvXlxt2/nz58PY2BhlZWUAgPj4eNy5cwf+/v5CHUtLSyQnJyM5ORmWlpYv4yNRNd5//334+vri5s2bmD9/frVlY8aMwZUrVxTe55kzZzBx4kRlhdwg7u7uiI6ORnZ2NiQSiVDu5eWFVq1aISYmpt77fPLkCSZPngxDQ0Po6Ohg1KhRuHPnTq1t5HI55syZA1NTU0ilUgwePBhXr14V1Rk+fDgsLCygqakJU1NTBAYG4vbt2/WOj4iaJybd9XTx4kWMGjUKlpaWkEgk1d7VffjwIcLDw9GhQwdIpVK4urrizJkzojqK/AImIiJ62by8vJCbmyt6bdmyBerq6nj33Xchk8mqtJHL5YiOjkZQUBBatWoFAIiKikJISAhUVF69PzVKS0ubOoQaFRUVIT8/H56enjAzM4Ourm61ZVKpFO3atVN4v23btoWWlpYSI29cwcHBiIqKqne7adOmYd++fdi+fTuOHTuG27dv45133qm1zdKlSxEVFYV169bh559/hra2Njw9PfHkyROhzsCBA7Ft2zZkZmZi586dyMrKgq+vb73jI6Lm6dX7JqxFeXl5nUONiouL0alTJyxevBgmJibV1gkLC8OhQ4ewefNmZGRk4K233sLgwYNx69YtoY4iv4CJiIheNg0NDZiYmIheBgYGAIDQ0FBcuXIFKSkpojbHjh3DtWvXEBoaCgC4e/cujhw5Am9vb4WOmZWVhREjRsDY2Bg6OjpwcXHB4cOH6xV3RkYGPDw8IJVKYWhoiIkTJ6KoqEhUZ8OGDejatSs0NDRgamqKKVOm1LnfcePGYcyYMaKysrIyGBkZYdOmTQCe9ahOmTIF4eHhMDIygqenJwBgxYoVcHBwgLa2Ntq3b48PPvhAFFPlEO6EhATY2dlBS0sLvr6+KC4uxsaNG2FpaQkDAwN8+OGHKC8vV+g8lJSUICIiAubm5tDW1kbv3r2RnJwMAEhOToauri4AwMPDAxKJpMay6oaX79u3Dy4uLtDU1ISRkRF8fHyEbS8OL3/w4AHCwsLQtm1b6OnpwcPDAxcuXBC2R0ZGwsnJCZs3b4alpSX09fXh7++Phw8fCnUqKiqwdOlSWFtbQ0NDAxYWFli4cKEQ64s/v7t370JdXR1JSUl1nidvb2+cPXsWWVlZdZ/U/6+goADr16/HihUr4OHhgZ49e0Imk+HEiRM4depUtW3kcjlWrVqFzz//HCNGjED37t2xadMm3L59WzQ9Ytq0aejTpw86dOgAV1dXfPLJJzh16pQwcoSIWrZmn3RXN0fIyckJkZGRkMvliIyMhIWFBTQ0NGBmZoYPP/xQqFfbFw/wf1928fHx6NKlCzQ0NJCTk1NrPC4uLvjqq6/g7+8PDQ2NKtsfP36MnTt3YunSpXBzc4O1tTUiIyNhbW2NtWvXAlD8FzAREVFz4uDgABcXF2zYsEFULpPJ4OrqCnt7ewBASkoKtLS00LlzZ4X2W1RUhKFDhyIpKQnnz5+Hl5cXvL296/xOrvTo0SN4enrCwMAAZ86cwfbt23H48GFRUrZ27VpMnjwZEydOREZGBuLj42FtbV3nvgMCArBv3z5Rsnzw4EEUFxeLks6NGzdCXV0dqampWLduHQBARUUFUVFRuHjxIjZu3IgjR45gxowZov0XFxcjKioKcXFxSExMRHJyMnx8fLB//37s378fmzdvxrfffosdO3YodC6mTJmCkydPIi4uDr/88gtGjx4NLy8vXL16Fa6ursjMzAQA7Ny5E7m5uTWWvejHH3+Ej48Phg4divPnzyMpKQmvv/56jXGMHj0a+fn5OHDgANLS0tCjRw8MGjQI9+7dE+pkZWVhz549SEhIQEJCAo4dOyaavjBr1iwsXrwYs2fPxqVLlxAbGwtjY2MAzzo4YmNjUVJSItT/4YcfYG5uDg8PjzrPk4WFBYyNjXH8+HGhLDg4GO7u7jW2SUtLQ1lZGQYPHiyU2dvbw8LCAidPnqy2zfXr15GXlydqo6+vj969e9fY5t69e4iJiYGrq6swcoSIWja1pg7g79i5cydWrlyJuLg4dO3aFXl5eaK7qFOmTMGlS5cQFxcHMzMz7N69G15eXsjIyICNjQ2AZ192S5Yswffffw9DQ8N6DaWqztOnT1FeXg5NTU1RuVQqFXoG6voF/Pz8NyIiopcpISEBOjo6orJPP/0Un376KYBnvd0RERGIioqCjo4OHj58iB07doiG6t64cQPGxsZVhpZnZ2dX+29HR0c4OjoK7+fPn4/du3cjPj5eod7o2NhYPHnyBJs2bYK2tjYAYPXq1fD29saSJUtgbGyMBQsWYPr06fjoo4+Edi4uLnXu29PTE9ra2ti9ezcCAwOF4w0fPlzoIQYAGxsbLF26VNS2cpEy4FknwoIFCzBp0iSsWbNGKC8rK8PatWthZWUFAPD19cXmzZtx584d6OjooEuXLhg4cCCOHj1apcf9RTk5OZDJZMjJyYGZmRkAICIiAomJiZDJZPjyyy+Fv3PatGkjjNirruxFCxcuhL+/P+bNmyeUPf8ze15KSgpOnz6N/Px8oYNi2bJl2LNnD3bs2CHM/a6oqEB0dLRwHgMDA5GUlISFCxfi4cOH+Prrr7F69WqMHz8eAGBlZYX+/fsDAN555x1MmTIFe/fuhZ+fH4BnnSmV6xIAEHW0yOXyKnGamZnhxo0bwntTU9NaRzzm5eVBXV29yggAY2Nj5OXl1dimsk5dbWbOnInVq1ejuLgYffr0QUJCQo2xEFHL0ux7umuTk5MDExMTDB48GBYWFnj99dfx3nvvCdtkMhm2b9+ON954A1ZWVoiIiED//v1F89HKysqwZs0auLq6CkO7/g5dXV307dsX8+fPx+3bt1FeXo4ffvgBJ0+eRG5uLoD6/QJ+XklJCQoLC0UvIiKixjRw4ECkp6eLXpMmTRK2jx07FuXl5di2bRsAYOvWrVBRURElhI8fP65y87k2RUVFiIiIQOfOndG6dWvo6Ojg8uXLCvd0X758GY6OjkLCDQD9+vVDRUUFMjMzkZ+fj9u3b2PQoEEKx1RJTU0Nfn5+wqJbjx49wt69exEQECCq17NnzyptDx8+jEGDBsHc3By6uroIDAzEX3/9heLiYqGOlpaWkHADz/4WsLS0FN34MDY2Rn5+fp2xZmRkoLy8HLa2ttDR0RFex44dq9cw6uqkp6crfP4uXLiAoqIiYbGxytf169dFcVhaWopuXJiamgqf8/LlyygpKanxmJqamggMDBRGXZw7dw6//vorgoODFf5MUqlU9LNYtGiRMGWgKfz73//G+fPn8dNPP0FVVRVBQUHV3iwgopanRfd0jx49GqtWrUKnTp3g5eWFoUOHwtvbG2pqaqIvnueVlJTA0NBQeK+uro7u3bs3alybN2/GhAkTYG5uDlVVVfTo0QNjx45FWlra39rvokWLRHeYiYiIGpu2tnatw6719PTg6+sLmUyGCRMmQCaTwc/PT5QkGhkZ4f79+wofMyIiAocOHcKyZctgbW0NqVQKX1/fRluQTCqV/q32AQEBGDBgAPLz83Ho0CFIpVJ4eXmJ6jyf8APPevKHDRuGf/3rX1i4cCHatGmDlJQUhIaGorS0VLjJ/+LwYYlEUm2ZIo+3KioqgqqqKtLS0qCqqira9uLohfqqzzksKiqCqampqKe50vO9xLV9TkWOFxYWBicnJ/zxxx+QyWTw8PBAhw4dFI7z3r17aNu2rcL1TUxMUFpaigcPHog+x507d2ocIVBZfufOHZiamoraODk5ieoaGRnByMgItra26Ny5M9q3b49Tp06hb9++CsdIRM1Ts+/pVlFRqXKXr3JRifbt2yMzMxNr1qyBVCrFBx98ADc3N5SVlYm+eJ6/W3/58mV8/fXXwr6kUqnoMRKNwcrKCseOHUNRURFu3ryJ06dPo6ysDJ06dQIg/gX8vNp+aQPP5jYVFBQIr5s3bzZq3ERERIoIDQ1FSkoKEhIScOLECWEBtUrOzs7Iy8tTOPFOTU1FcHAwfHx84ODgABMTE9Hw87p07twZFy5cwKNHj0T7VFFRgZ2dHXR1dWFpaanQAlvVcXV1Rfv27bF161bExMRg9OjRdc61TUtLQ0VFBZYvX44+ffrA1tZW6Y+AcnZ2Rnl5OfLz82FtbS161fb3hSK6d++u8Pnr0aMH8vLyoKamViUOIyMjhfZhY2MDqVRa6zEdHBzQq1cvfPfdd4iNjcWECRMU2jfw7NFfWVlZcHZ2VrhNz5490apVK1FMmZmZyMnJqTEx7tixI0xMTERtCgsL8fPPP9eaTFfefHh+zjoRtVzNPulu27atMCwbePaL6vr168J7qVQKb29vREVFITk5GSdPnkRGRoZSv3gUpa2tDVNTU9y/fx8HDx7EiBEjADT8F7CGhgb09PRELyIiosZUUlKCvLw80evPP/8U1alcKDQoKAj29vZVFt5ydnaGkZERUlNTFTqmjY0Ndu3ahfT0dFy4cAHjxo1TqGe3UkBAADQ1NTF+/Hj8+uuvOHr0KKZOnYrAwEBhKldkZCSWL1+OqKgoXL16FefOncM333yj8DHGjRuHdevW4dChQ1WGllfH2toaZWVl+Oabb3Dt2jVs3rxZWGBNWWxtbREQEICgoCDs2rUL169fx+nTp7Fo0SL8+OOPf2vfc+fOxZYtWzB37lxcvnwZGRkZWLJkSbV1Bw8ejL59+2LkyJH46aefkJ2djRMnTuCzzz7D2bNnFTqepqYmZs6ciRkzZmDTpk3IysrCqVOnsH79elG9sLAwLF68GHK5XLSwXV1OnToFDQ0N0d9ds2bNQlBQUI1t9PX1ERoaio8//hhHjx5FWloaQkJC0LdvX/Tp00eoZ29vj927dwN41nsfHh6OBQsWID4+HhkZGQgKCoKZmRlGjhwJAPj555+xevVqpKen48aNGzhy5AjGjh0LKysr9nIT/UM0+6Tbw8MDmzdvxvHjx5GRkYHx48cLQ6aio6Oxfv16/Prrr7h27Rp++OEHSKVSdOjQQWlfPKWlpUKveWlpKW7duoX09HT8/vvvQp2DBw8iMTER169fx6FDhzBw4EDY29sjJCQEgGK/gImIiJpCYmIiTE1NRa/KxasqSSQSTJgwAffv36+2d1FVVRUhISHCPOi6rFixAgYGBnB1dYW3tzc8PT3Ro0cPhWPW0tLCwYMHce/ePbi4uMDX1xeDBg3C6tWrhTrjx4/HqlWrsGbNGnTt2hXDhg3D1atXFT5GQEAALl26BHNzc/Tr16/O+o6OjlixYgWWLFmCbt26ISYmBosWLVL4eA0lk8kQFBSE6dOnw87ODiNHjsSZM2dgYWHxt/br7u6O7du3Iz4+Hk5OTvDw8MDp06errSuRSLB//364ubkhJCQEtra28Pf3FxbYU9Ts2bMxffp0zJkzB507d8aYMWOqzG0fO3Ys1NTUMHbs2HqtI7BlyxYEBASI1vLJzc2tcx2BlStXYtiwYRg1ahTc3NxgYmKCXbt2iepkZmaioKBAeD9jxgxMnToVEydOhIuLC4qKipCYmCjEq6WlhV27dmHQoEGws7NDaGgounfvjmPHjlX7pBwiankk8ma+QkNhYSEmTpyIAwcOQF9fH/Pnz8fKlSsxcuRIODk5YfHixbh8+TLKy8vh4OCABQsWCItulJWVYcGCBdi0aRNu3boFIyMj9OnTB/PmzYODgwOio6MRHh6OBw8eKBxPdnY2OnbsWKV8wIABwtylbdu2YdasWfjjjz/Qpk0bjBo1CgsXLoS+vr5QXy6XY+7cufjvf/+LBw8eoH///lizZk2VOeh1nRt9fX38dPYKtHV0625ARET/SK52L2cEV33k5eWha9euOHfuXL3m2RLVR3Z2NqysrHDmzBmFb9T8+eefsLOzw9mzZ6v9m46IXm2VOVZBQUGjjSxu9kk31YxJNxERAc0z6QaAPXv2wNDQEG+88UZTh0L/MGVlZfjrr78QERGB69evKzyVAQDOnj2LrKysOh/BRkSvJmUk3S169XIiIiJqvlrClKmYmBi8//771W7r0KEDLl68+JIjqtnx48cxZMiQGrcXFRW9xGiaVmpqKgYOHAhbW1vs2LGjXm179eqFXr16KSkyIqKqmHS/oLZHahw4cIB364mIiP5Bhg8fjt69e1e7ra4Vyl+2Xr16IT09vanDaBbc3d35DGsiajGYdL+gti8zc3PzlxcIERERKZ2uri50dVvGFC2pVFrrM9SJiKh5YtL9An6ZERERERERUWNp9o8MIyIiIiIiImqpmHQTERERERERKQmTbiIiIiIiIiIlYdJNREREREREpCRMuomIiIiIiIiUhEk3ERERERERkZIw6SYiIiIiIiJSEibdRERERERERErCpJuIiIiIiIhISZh0ExERERERESmJWlMHQH9fbxtj6OnpNXUYRERERERE9AL2dBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESsKkm4iIiIiIiEhJmHQTERERERERKYlaUwdAf9+V2w+g87CiqcMgIqImYm/euqlDICIiohqwp5uIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiISCnc3NwQGxvbKPuytLTEqlWrhPcSiQR79uxplH2/avbs2QNra2uoqqoiPDy82rLo6Gi0bt1a4X2++PNpzhITE+Hk5ISKioqmDoWIXhFMuomIiAgAEBwcDIlEUuXl5eWF0tJSGBkZYfHixdW2nT9/PoyNjVFWVgYAiI+Px507d+Dv7y/UsbS0RHJyMpKTk2FpafkyPhJV4/3334evry9u3ryJ+fPnV1s2ZswYXLlyReF9njlzBhMnTlRWyA3i7u6O6OhoZGdnQyKRCOVeXl5o1aoVYmJi6r3PJ0+eYPLkyTA0NISOjg5GjRqFO3fu1Nnu8uXLGD58OPT19aGtrQ0XFxfk5OQI27OysuDj44O2bdtCT08Pfn5+Cu2XiFoGJt1EREQk8PLyQm5urui1ZcsWqKur491334VMJqvSRi6XIzo6GkFBQWjVqhUAICoqCiEhIVBRefX+1CgtLW3qEGpUVFSE/Px8eHp6wszMDLq6utWWSaVStGvXTuH9tm3bFlpaWkqMvHEFBwcjKiqq3u2mTZuGffv2Yfv27Th27Bhu376Nd955p9Y2WVlZ6N+/P+zt7ZGcnIxffvkFs2fPhqamJgDg0aNHeOuttyCRSHDkyBGkpqaitLQU3t7e7I0n+od49b4J/6bo6OgqPQCVvzSrM2nSJEgkkipDru7du4eAgADo6emhdevWCA0NRVFRkZKjJyIiqp2GhgZMTExELwMDAwBAaGgorly5gpSUFFGbY8eO4dq1awgNDQUA3L17F0eOHIG3t7dCx8zKysKIESNgbGwMHR0duLi44PDhw/WKOyMjAx4eHpBKpTA0NMTEiROrfK9u2LABXbt2hYaGBkxNTTFlypQ69ztu3DiMGTNGVFZWVgYjIyNs2rQJwLMe1SlTpiA8PBxGRkbw9PQEAKxYsQIODg7Q1tZG+/bt8cEHH4hiqhzCnZCQADs7O2hpacHX1xfFxcXYuHEjLC0tYWBggA8//BDl5eUKnYeSkhJERETA3Nwc2tra6N27N5KTkwEAycnJ0NXVBQB4eHhAIpHUWFbd8PJ9+/bBxcUFmpqaMDIygo+Pj7DtxeHlDx48QFhYmNBz6+HhgQsXLgjbIyMj4eTkhM2bN8PS0hL6+vrw9/fHw4cPhToVFRVYunQprK2toaGhAQsLCyxcuFCI9cWf3927d6Guro6kpKQ6z5O3tzfOnj2LrKysuk/q/1dQUID169djxYoV8PDwQM+ePSGTyXDixAmcOnWqxnafffYZhg4diqVLl8LZ2RlWVlYYPny4cFMjNTUV2dnZiI6OhoODAxwcHLBx40acPXsWR44cUTg+Imq+mHQ/p7y8XKE7inp6eqIegBs3blRbb/fu3Th16hTMzMyqbAsICMDFixdx6NAhJCQk4H//+1+zG5ZFRET0PAcHB7i4uGDDhg2icplMBldXV9jb2wMAUlJSoKWlhc6dOyu036KiIgwdOhRJSUk4f/48vLy84O3tLRp+W5tHjx7B09MTBgYGOHPmDLZv347Dhw+LkrK1a9di8uTJmDhxIjIyMhAfHw9ra+s69x0QEIB9+/aJkuWDBw+iuLhYlHRu3LgR6urqSE1Nxbp16wAAKioqiIqKwsWLF7Fx40YcOXIEM2bMEO2/uLgYUVFRiIuLQ2JiIpKTk+Hj44P9+/dj//792Lx5M7799lvs2LFDoXMxZcoUnDx5EnFxcfjll18wevRoeHl54erVq3B1dUVmZiYAYOfOncjNza2x7EU//vgjfHx8MHToUJw/fx5JSUl4/fXXa4xj9OjRyM/Px4EDB5CWloYePXpg0KBBuHfvnlAnKysLe/bsQUJCAhISEnDs2DHR9IVZs2Zh8eLFmD17Ni5duoTY2FgYGxsDAMLCwhAbG4uSkhKh/g8//ABzc3N4eHjUeZ4sLCxgbGyM48ePC2XBwcFwd3evsU1aWhrKysowePBgocze3h4WFhY4efJktW0qKirw448/wtbWFp6enmjXrh169+4tWo+gpKQEEokEGhoaQpmmpiZUVFSq3OAiopap2Sfd1S3M4eTkhMjISMjlckRGRsLCwgIaGhowMzPDhx9+KNSr7W4v8H93mOPj49GlSxdoaGgo9AUvkUhEPQCVXwDPu3XrFqZOnYqYmBhhqF2ly5cvIzExEd9//z169+6N/v3745tvvkFcXBxu375dvxNERETUiBISEqCjoyN6ffnll8L20NBQbN++XUhCHz58iB07dmDChAlCnRs3bsDY2LjK0PLs7Gy4u7vD3d0d2dnZQrmjoyPef/99dOvWDTY2Npg/fz6srKwQHx+vUMyxsbF48uQJNm3ahG7dusHDwwOrV6/G5s2bhXmxCxYswPTp0/HRRx/B1tYWLi4uwiJitfH09IS2tjZ2794tOt7w4cOFHmIAsLGxwdKlS2FnZwc7OzsAQHh4OAYOHAhLS0t4eHhgwYIF2LZtm2j/ZWVlWLt2LZydneHm5gZfX1+kpKRg/fr16NKlC4YNG4aBAwfi6NGjdcaak5MDmUyG7du344033oCVlRUiIiLQv39/yGQyqKurC72rbdq0gYmJSY1lL1q4cCH8/f0xb948dO7cGY6Ojpg1a1a1caSkpOD06dPYvn07evXqBRsbGyxbtgytW7cW3TyoqKhAdHQ0unXrhjfeeAOBgYFCL/XDhw/x9ddfY+nSpRg/fjysrKzQv39/hIWFAYAwpHvv3r3C/qKjo4V1CYBnPfvBwcGwtLSEXC6vEqeZmZmo48TU1BQWFhY1nt+8vDyoq6tXGQFgbGyMvLy8atvk5+ejqKgIixcvhpeXF3766Sf4+PjgnXfewbFjxwAAffr0gba2NmbOnIni4mI8evQIERERKC8vR25ubo3xEFHL0eyT7trs3LkTK1euxLfffourV69iz549cHBwELbXdre3UnFxMZYsWYLvv/8eFy9eVGj+UlFRETp06ID27dtjxIgRuHjxomh7RUUFAgMD8e9//xtdu3at0v7kyZNo3bo1evXqJZQNHjwYKioq+Pnnn2s8bklJCQoLC0UvIiKixjRw4ECkp6eLXpMmTRK2jx07FuXl5ULyuHXrVqioqIiGYD9+/LjWqVcvKioqQkREBDp37ozWrVtDR0cHly9fVrin+/Lly3B0dIS2trZQ1q9fP1RUVCAzMxP5+fm4ffs2Bg0apHBMldTU1ODn5ycsuvXo0SPs3bsXAQEBono9e/as0vbw4cMYNGgQzM3Noauri8DAQPz1118oLi4W6mhpacHKykp4b2xsDEtLS+jo6IjK8vPz64w1IyMD5eXlsLW1Fd00OXbsWL2GUVcnPT1d4fN34cIFFBUVCYuNVb6uX78uisPS0lJ048LU1FT4nJcvX0ZJSUmNx9TU1ERgYKAw6uLcuXP49ddfERwcrPBnkkqlop/FokWLhCkDjaVyBOWIESMwbdo0ODk54ZNPPsGwYcOEERFt27bF9u3bsW/fPujo6EBfXx8PHjxAjx49Xsk1EYj+idSaOoC/IycnByYmJhg8eDBatWoFCwsLYahT5d3enJwcYXh3REQEEhMTIZPJhLv2ZWVlWLNmDRwdHRU6pp2dHTZs2IDu3bujoKAAy5Ytg6urKy5evIjXXnsNALBkyRKoqamJet2fl5eXVyW5V1NTQ5s2bWq8Uwo8+zKYN2+eQnESERE1hLa2dq3DrvX09ODr6wuZTIYJEyZAJpPBz89PlCQaGRnh/v37Ch8zIiIChw4dwrJly2BtbQ2pVApfX99GW5BMKpX+rfYBAQEYMGAA8vPzcejQIUilUnh5eYnqPJ/wA8969YcNG4Z//etfWLhwIdq0aYOUlBSEhoaitLRUWHTsxdFwEomk2jJFpr8VFRVBVVUVaWlpUFVVFW17/ufTEPU5h0VFRTA1NRWNLqz0fC9xbZ9TkeOFhYXByckJf/zxB2QyGTw8PNChQweF47x37x7atm2rcH0TExOUlpbiwYMHos9x584dmJiYVNvGyMgIampq6NKli6i8c+fOoqHjb731FrKysvDnn39CTU0NrVu3homJCTp16qRwfETUfLXo22ejR4/G48eP0alTJ7z33nvYvXs3nj59CkDxu73q6uro3r27wsfs27cvgoKC4OTkhAEDBmDXrl1o27Ytvv32WwDP5vt8/fXXwoJrjWnWrFkoKCgQXjdv3mzU/RMRESkiNDQUKSkpSEhIwIkTJ4QF1Co5OzsjLy9P4cQ7NTUVwcHB8PHxgYODA0xMTETDz+vSuXNnXLhwAY8ePRLtU0VFBXZ2dtDV1YWlpaVCC2xVx9XVFe3bt8fWrVsRExOD0aNHV0kYX5SWloaKigosX74cffr0ga2trdKnkDk7O6O8vBz5+fmwtrYWvWpKChXVvXt3hc9fjx49kJeXBzU1tSpxGBkZKbQPGxsbSKXSWo/p4OCAXr164bvvvkNsbKxoikNdnjx5gqysLDg7OyvcpmfPnmjVqpUopszMTOTk5KBv377VtlFXV4eLi4swb77SlStXqr1BYGRkhNatW+PIkSPIz8/H8OHDFY6PiJqvZt/TraKiUmUeTuUzQNu3b4/MzEwcPnwYhw4dwgcffICvvvoKx44dU/hur1Qq/VvJcatWreDs7Izff/8dAHD8+HHk5+eL5gSVl5dj+vTpWLVqFbKzs2FiYlJlmNjTp09x7969Wr8UNTQ0RItsEBERNbaSkpIqo67U1NREyZKbmxusra0RFBQEe3v7KgtvOTs7w8jICKmpqRg2bFidx7SxscGuXbvg7e0NiUSC2bNn1+tRSQEBAZg7dy7Gjx+PyMhI3L17F1OnTkVgYKCw7kpkZCQmTZqEdu3aYciQIXj48CFSU1MxdepUhY4xbtw4rFu3DleuXFFofrW1tTXKysrwzTffwNvbW7TAmrLY2toiICAAQUFBWL58OZydnXH37l0kJSWhe/fuePvttxu877lz52LQoEGwsrKCv78/nj59iv3792PmzJlV6g4ePBh9+/bFyJEjsXTpUuGGQ+VibM9Pr6uJpqYmZs6ciRkzZkBdXR39+vXD3bt3cfHiRdFNnrCwMEyZMgXa2tqihe3qcurUKWhoaIiS5VmzZuHWrVs1DjHX19dHaGgoPv74Y7Rp0wZ6enqYOnUq+vbtiz59+gj17O3tsWjRIiGef//73xgzZgzc3NwwcOBAJCYmYt++faKRADKZDJ07d0bbtm1x8uRJfPTRR5g2bZqwPgARtWzNvqe7bdu2okUkCgsLcf36deG9VCqFt7c3oqKikJycjJMnTyIjI0Opd3ufV15ejoyMDJiamgIAAgMD8csvv4jmwpmZmeHf//43Dh48COBZb/mDBw+QlpYm7OfIkSOoqKhA7969Gy02IiKi+kpMTISpqano1b9/f1EdiUSCCRMm4P79+9X2LqqqqiIkJESYB12XFStWwMDAAK6urvD29oanpyd69OihcMxaWlo4ePAg7t27BxcXF/j6+mLQoEFYvXq1UGf8+PFYtWoV1qxZg65du2LYsGGiNV7qEhAQgEuXLsHc3Bz9+vWrs76joyNWrFiBJUuWoFu3boiJicGiRYsUPl5DyWQyBAUFYfr06bCzs8PIkSNx5syZWhcIU4S7uzu2b9+O+Ph4ODk5wcPDA6dPn662rkQiwf79++Hm5oaQkBDY2trC399fWGBPUbNnz8b06dMxZ84cdO7cGWPGjKnSaTF27Fioqalh7Nix9VpHYMuWLQgICBA9Wzw3N7fOdQRWrlyJYcOGYdSoUXBzc4OJiQl27dolqpOZmYmCggLhvY+PD9atW4elS5fCwcEB33//PXbu3Cn6f5WZmYmRI0eic+fO+OKLL/DZZ59h2bJlCn8eImreJPLqlnNsRmbNmoXo6Ghs27YNrVu3xpw5c3D48GFMnz4dlpaWKC8vR+/evaGlpQWZTIbly5fj5s2bMDQ0xLvvvovU1NQa7/ZGR0cjPDwcDx48UDieL774An369IG1tTUePHiAr776Cnv27EFaWlqV+TqVLC0tER4eLloldciQIbhz5w7WrVuHsrIyhISEoFevXoiNjVU4lsLCQujr6+PM5RvQ0dVTuB0REf2z2Ju3buoQqsjLy0PXrl1x7ty5es2zJaqP7OxsWFlZ4cyZMwrfqPnzzz9hZ2eHs2fPomPHjkqOkIhamsocq6CgAHp6jZNjNfvh5bNmzcL169cxbNgw6OvrY/78+UJPd+vWrbF48WJ8/PHHKC8vh4ODA/bt2wdDQ0MAz+72Vj4i5NatWzAyMkKfPn0UGupWk/v37+O9995DXl4eDAwM0LNnT5w4caLGhLsmMTExmDJlCgYNGgQVFRWMGjUKUVFRDY6LiIioOTExMcH69euRk5PDpJsaXVlZGf766y98/vnn6NOnT71GRmRnZ2PNmjVMuInopWn2Pd1UM/Z0ExER0Dx7uluKmJgYvP/++9Vu69ChQ5XHgjal48ePY8iQITVur3x2+qsgOTkZAwcOhK2tLXbs2CF6ZCwR0d/xSvZ0ExERESnL8OHDa1xPpa4Vyl+2Xr16IT09vanDaBbc3d2rLLRLRNRcMel+QW3PsTxw4ADeeOONlxgNERERKZOuri50dXWbOgyFSKXSWp+hTkREzROT7hfUdgfZ3Nz85QVCRERERERELR6T7hfwDjIRERERERE1lmb/nG4iIiIiIiKilopJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJRErakDoL/P1qw19PT0mjoMIiIiIiIiegF7uomIiIiIiIiUhEk3ERERERERkZIw6SYiIiIiIiJSEibdRERERERERErCpJuIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlEStqQOgv+/OgycorlBv6jCIiP6xTFprNnUIRERE1EKxp5uIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSMOkmIiIiIiIiUhIm3URERERERERKwqSbiIiIiIiISEmYdBMREREREREpCZNuIiIiIiIiIiVh0k1ERERERESkJEy6iYiIiIiIiJSESTcREVEL5ebmhtjY2EbZl6WlJVatWiW8l0gk2LNnT6Ps+1WzZ88eWFtbQ1VVFeHh4dWWRUdHo3Xr1grv88WfT3OWmJgIJycnVFRUNHUoRETNApNuIiKilyQ4OBgSiaTKy8vLC6WlpTAyMsLixYurbTt//nwYGxujrKwMABAfH487d+7A399fqGNpaYnk5GQkJyfD0tLyZXwkqsb7778PX19f3Lx5E/Pnz6+2bMyYMbhy5YrC+zxz5gwmTpyorJAbxN3dHdHR0cjOzoZEIhHKvby80KpVK8TExNR7n0+ePMHkyZNhaGgIHR0djBo1Cnfu3Km1jVwux5w5c2BqagqpVIrBgwfj6tWrwvbk5ORq/99JJBKcOXOm3jESEdUXk24li4uLg0QiwciRI2usM2nSJEgkkhZzB5uIiBrOy8sLubm5oteWLVugrq6Od999FzKZrEobuVyO6OhoBAUFoVWrVgCAqKgohISEQEXl1fsqLy0tbeoQalRUVIT8/Hx4enrCzMwMurq61ZZJpVK0a9dO4f22bdsWWlpaSoy8cQUHByMqKqre7aZNm4Z9+/Zh+/btOHbsGG7fvo133nmn1jZLly5FVFQU1q1bh59//hna2trw9PTEkydPAACurq5V/s+FhYWhY8eO6NWrV4M+HxFRfbx639R/U3l5ucLDpbKzsxEREYE33nijxjq7d+/GqVOnYGZm1lghEhFRM6ahoQETExPRy8DAAAAQGhqKK1euICUlRdTm2LFjuHbtGkJDQwEAd+/exZEjR+Dt7a3QMbOysjBixAgYGxtDR0cHLi4uOHz4cL3izsjIgIeHB6RSKQwNDTFx4kQUFRWJ6mzYsAFdu3aFhoYGTE1NMWXKlDr3O27cOIwZM0ZUVlZWBiMjI2zatAnAsx7VKVOmIDw8HEZGRvD09AQArFixAg4ODtDW1kb79u3xwQcfiGKqHMKdkJAAOzs7aGlpwdfXF8XFxdi4cSMsLS1hYGCADz/8EOXl5Qqdh5KSEkRERMDc3Bza2tro3bs3kpOTATzrUdXV1QUAeHh4QCKR1FhW3fDyffv2wcXFBZqamjAyMoKPj4+w7cXh5Q8ePEBYWBjatm0LPT09eHh44MKFC8L2yMhIODk5YfPmzbC0tIS+vj78/f3x8OFDoU5FRQWWLl0Ka2traGhowMLCAgsXLhRiffHnd/fuXairqyMpKanO8+Tt7Y2zZ88iKyur7pP6/xUUFGD9+vVYsWIFPDw80LNnT8hkMpw4cQKnTp2qto1cLseqVavw+eefY8SIEejevTs2bdqE27dvC9Mj1NXVRf/fDA0NsXfvXoSEhIh66ImIlOUfkXRXN8/JyckJkZGRkMvliIyMhIWFBTQ0NGBmZoYPP/xQqFfblyfwf1/Y8fHx6NKlCzQ0NJCTk1NnTOXl5QgICMC8efPQqVOnauvcunULU6dORUxMjNBzQUREry4HBwe4uLhgw4YNonKZTAZXV1fY29sDAFJSUqClpYXOnTsrtN+ioiIMHToUSUlJOH/+PLy8vODt7a3Q9xkAPHr0CJ6enjAwMMCZM2ewfft2HD58WJSUrV27FpMnT8bEiRORkZGB+Ph4WFtb17nvgIAA7Nu3T5QsHzx4EMXFxaKkc+PGjVBXV0dqairWrVsHAFBRUUFUVBQuXryIjRs34siRI5gxY4Zo/8XFxYiKikJcXBwSExORnJwMHx8f7N+/H/v378fmzZvx7bffYseOHQqdiylTpuDkyZOIi4vDL7/8gtGjR8PLywtXr16Fq6srMjMzAQA7d+5Ebm5ujWUv+vHHH+Hj44OhQ4fi/PnzSEpKwuuvv15jHKNHj0Z+fj4OHDiAtLQ09OjRA4MGDcK9e/eEOllZWdizZw8SEhKQkJCAY8eOiaYvzJo1C4sXL8bs2bNx6dIlxMbGwtjYGAAQFhaG2NhYlJSUCPV/+OEHmJubw8PDo87zZGFhAWNjYxw/flwoCw4Ohru7e41t0tLSUFZWhsGDBwtl9vb2sLCwwMmTJ6ttc/36deTl5Yna6Ovro3fv3jW2iY+Px19//YWQkJA6PwcRUWNQa+oAlG3nzp1YuXIl4uLi0LVrV+Tl5YnuBE+ZMgWXLl1CXFwczMzMsHv3bnh5eSEjIwM2NjYAnn1hL1myBN9//z0MDQ0VGg72xRdfoF27dggNDRV94VSqqKhAYGAg/v3vf6Nr166N94GJiKhZS0hIgI6Ojqjs008/xaeffgrgWW93REQEoqKioKOjg4cPH2LHjh2iobo3btyAsbFxlaHl2dnZ1f7b0dERjo6Owvv58+dj9+7diI+PV6g3OjY2Fk+ePMGmTZugra0NAFi9ejW8vb2xZMkSGBsbY8GCBZg+fTo++ugjoZ2Li0ud+/b09IS2tjZ2796NwMBA4XjDhw8XeogBwMbGBkuXLhW1rVykDHh2A37BggWYNGkS1qxZI5SXlZVh7dq1sLKyAgD4+vpi8+bNuHPnDnR0dNClSxcMHDgQR48erdLj/qKcnBzIZDLk5OQII9QiIiKQmJgImUyGL7/8UvgboU2bNjAxMQGAastetHDhQvj7+2PevHlC2fM/s+elpKTg9OnTyM/Ph4aGBgBg2bJl2LNnD3bs2CHM/a6oqEB0dLRwHgMDA5GUlISFCxfi4cOH+Prrr7F69WqMHz8eAGBlZYX+/fsDAN555x1MmTIFe/fuhZ+fH4BnHRGV6xIAEHVSyOXyKnGamZnhxo0bwntTU9NaRwvm5eVBXV29yggAY2Nj5OXl1dimso6ibdavXw9PT0+89tprNcZCRNSY/vFJd05ODkxMTDB48GC0atUKFhYWwp1jRb48gWdf2GvWrKnxy+9FKSkpWL9+PdLT02uss2TJEqipqYl63etSUlIiuuNcWFiocFsiImoeBg4ciLVr14rK2rRpI/x77NixmDZtGrZt24YJEyZg69atUFFRESWEjx8/hqampsLHLCoqQmRkJH788Ufk5ubi6dOnePz4scI93ZcvX4ajo6OQcANAv379UFFRgczMTEgkEty+fRuDBg1SOKZKampq8PPzQ0xMDAIDA/Ho0SPs3bsXcXFxono9e/as0vbw4cNYtGgRfvvtNxQWFuLp06d48uQJiouLhfnPWlpaQsINPEvGLC0tRTc+jI2NkZ+fX2esGRkZKC8vh62trai8pKQEhoaG9frcL0pPT8d7772nUN0LFy6gqKioyjEfP34sGs5taWkpunFhamoqfM7Lly+jpKSkxp+ZpqYmAgMDsWHDBvj5+eHcuXP49ddfER8fr/BnkkqlKC4uFt4vWrRI4bbK8scff+DgwYPYtm1bU4dCRK+Qf3zSPXr0aKxatQqdOnWCl5cXhg4dCm9vb6ipqSn85amuro7u3bsrdLyHDx8iMDAQ3333HYyMjKqtk5aWhq+//hrnzp2r11yiRYsWie6AExFRy6OtrV3rsGs9PT34+vpCJpNhwoQJkMlk8PPzEyWJRkZGuH//vsLHjIiIwKFDh7Bs2TJYW1tDKpXC19e30RYkk0qlf6t9QEAABgwYgPz8fBw6dAhSqRReXl6iOs8n/MCznvxhw4bhX//6FxYuXIg2bdogJSUFoaGhKC0tFZLuF6dvSSSSassUWa+lqKgIqqqqSEtLg6qqqmjbi6MX6qs+57CoqAimpqainuZKz/cS1/Y5FTleWFgYnJyc8Mcff0Amk8HDwwMdOnRQOM579+6hbdu2Ctc3MTFBaWkpHjx4IPocd+7cqXGEQGX5nTt3YGpqKmrj5ORUpb5MJoOhoSGGDx+ucFxERH/XP2JOt4qKSpVhTZWPVGnfvj0yMzOxZs0aSKVSfPDBB3Bzc0NZWZnoyzM9PV14Xb58GV9//bWwL6lUqnBynJWVhezsbCGxV1NTw6ZNmxAfHw81NTVkZWXh+PHjyM/Ph4WFhVDnxo0bmD59eq2PeJk1axYKCgqE182bN+t/soiIqNkLDQ1FSkoKEhIScOLECWEBtUrOzs7Iy8tTOPFOTU1FcHAwfHx84ODgABMTE9Hw87p07twZFy5cwKNHj0T7VFFRgZ2dHXR1dWFpaanQAlvVcXV1Rfv27bF161bExMRg9OjRda51kpaWhoqKCixfvhx9+vSBra0tbt++3aDjK8rZ2Rnl5eXIz8+HtbW16FVTUqio7t27K3z+evTogby8PKipqVWJo6Yb/i+ysbGBVCqt9ZgODg7o1asXvvvuO8TGxmLChAkK7Rt49uivrKwsODs7K9ymZ8+eaNWqlSimzMxM5OTkoG/fvtW26dixI0xMTERtCgsL8fPPP1dpI5fLIZPJRE8BICJ6Gf4RPd1t27ZFbm6u8L6wsBDXr18X3kulUnh7e8Pb2xuTJ0+Gvb09MjIyRF+eta0wXh+V+37e559/Lsydat++PQIDA0ULfgDP5rQFBgbWuqiHhoaGMHeLiIhappKSkipzTdXU1ETJkpubG6ytrREUFAR7e/sqC285OzvDyMgIqampGDZsWJ3HtLGxwa5du+Dt7Q2JRILZs2cr/CQO4FlP9Ny5czF+/HhERkbi7t27mDp1KgIDA4W5tJGRkZg0aRLatWuHIUOG4OHDh0hNTcXUqVMVOsa4ceOwbt06XLlyBUePHq2zvrW1NcrKyvDNN9/A29tbtMCastja2iIgIABBQUFYvnw5nJ2dcffuXSQlJaF79+54++23G7zvuXPnYtCgQbCysoK/vz+ePn2K/fv3Y+bMmVXqDh48GH379sXIkSOxdOlS4YZD5WJsijwGS1NTEzNnzsSMGTOgrq6Ofv364e7du7h48aLoJk9YWBimTJkCbW1t0cJ2dTl16hQ0NDREie+sWbNw69YtYVX6F+nr6yM0NBQff/wx2rRpAz09PUydOhV9+/ZFnz59hHr29vZYtGgRfHx8IJFIEB4ejgULFsDGxgYdO3bE7NmzYWZmVuVxrUeOHMH169cRFham8OcgImoM/4ik28PDA9HR0fD29kbr1q0xZ84cYdhXdHQ0ysvL0bt3b2hpaeGHH36AVCpFhw4dYGho2OhfnpqamujWrZuorHKIVGW5oaFhlXlYrVq1gomJCezs7BpwBoiIqKVITEwUDYMFADs7O/z222/Ce4lEggkTJuDTTz/FrFmzquxDVVUVISEhiImJUSjpXrFiBSZMmABXV1cYGRlh5syZ9VoXREtLCwcPHsRHH30EFxcXaGlpYdSoUVixYoVQZ/z48Xjy5AlWrlyJiIgIGBkZwdfXV+FjBAQEYOHChejQoQP69etXZ31HR0esWLECS5YswaxZs+Dm5oZFixYhKChI4WM2hEwmExaNu3XrFoyMjNCnTx+Ffg61cXd3x/bt2zF//nwsXrwYenp6cHNzq7auRCLB/v378dlnnyEkJAR3796FiYkJ3NzcqiwoVpvZs2dDTU0Nc+bMwe3bt2FqaopJkyaJ6owdOxbh4eEYO3ZsvdYR2LJlCwICAkTPFs/Nza1zHYGVK1dCRUUFo0aNQklJCTw9PUUL4wHPer8LCgqE9zNmzMCjR48wceJEPHjwAP3790diYmKVeNevXy96CgAR0csikVe33GQLU1hYiIkTJ+LAgQPQ19fH/PnzsXLlSowcORJOTk5YvHgxLl++jPLycjg4OGDBggXCwiFlZWVYsGABNm3aJPrynDdvHhwcHBAdHY3w8HA8ePCgwfEFBwfjwYMHwvMiq2NpaYnw8HDRSqyKfG59fX1cuXEHunp6DY6PiIhqZ9Ja8WTjZcnLy0PXrl1x7ty5es2zJaqP7OxsWFlZ4cyZM+jRo4dCbf7880/Y2dnh7Nmz6Nixo5IjJCJqXJU5VkFBAfQaKcf6RyTdryom3UREL0dzTLoBYM+ePTA0NGy0KVJElcrKyvDXX38hIiIC169fR2pqqsJtz549i6ysrDofwUZE1BwpI+n+RwwvJyIiehW9OGe1OYqJicH7779f7bYOHTrg4sWLLzmimh0/fhxDhgypcXtRUdFLjKZppaamYuDAgbC1tcWOHTvq1bZXr14KzSsnInpVsKe7AWp7LMiBAwdeWo8De7qJiF6O5trT3RI8fPgQd+7cqXZbq1atmtXQ+MePH+PWrVs1bq/tUW9ERPTPwJ7uZiI9Pb3Gbebm5i8vECIiomZOV1cXurq6TR2GQqRSKRNrIiJqdEy6G4BfyERERERERKQIlaYOgIiIiIiIiOifikk3ERERERERkZIw6SYiIiIiIiJSEibdRERERERERErCpJuIiIiIiIhISZh0ExERERERESkJk24iIiIiIiIiJWHSTURERERERKQkTLqJiIiIiIiIlIRJNxEREREREZGSqDV1APT3GbfWhJ6eZlOHQURERERERC9gTzcRERERERGRkjDpJiIiIiIiIlISJt1ERERERERESsI53S2YXC4HABQWFjZxJERERERERC1fZW5VmWs1BibdLdhff/0FAGjfvn0TR0JERERERPTP8ddff0FfX79R9sWkuwVr06YNACAnJ6fRLgh6NRQWFqJ9+/a4efMm9PT0mjocakF47VBD8LqhhuK1Qw3Fa4caqqCgABYWFkKu1RiYdLdgKirPpuTr6+vzlwk1iJ6eHq8dahBeO9QQvG6ooXjtUEPx2qGGqsy1GmVfjbYnIiIiIiIiIhJh0k1ERERERESkJEy6WzANDQ3MnTsXGhoaTR0KtTC8dqiheO1QQ/C6oYbitUMNxWuHGkoZ145E3phroRMRERERERGRgD3dRERERERERErCpJuIiIiIiIhISZh0ExERERERESkJk+5m7j//+Q8sLS2hqamJ3r174/Tp07XW3759O+zt7aGpqQkHBwfs37//JUVKzU19rp3vvvsOb7zxBgwMDGBgYIDBgwfXea3RP1N9f+dUiouLg0QiwciRI5UbIDVb9b12Hjx4gMmTJ8PU1BQaGhqwtbXld9Yrqr7XzqpVq2BnZwepVIr27dtj2rRpePLkyUuKlpqL//3vf/D29oaZmRkkEgn27NlTZ5vk5GT06NEDGhoasLa2RnR0tNLjpOanvtfOrl278Oabb6Jt27bQ09ND3759cfDgwXodk0l3M7Z161Z8/PHHmDt3Ls6dOwdHR0d4enoiPz+/2vonTpzA2LFjERoaivPnz2PkyJEYOXIkfv3115ccOTW1+l47ycnJGDt2LI4ePYqTJ0+iffv2eOutt3Dr1q2XHDk1pfpeN5Wys7MRERGBN9544yVFSs1Nfa+d0tJSvPnmm8jOzsaOHTuQmZmJ7777Dubm5i85cmpq9b12YmNj8cknn2Du3Lm4fPky1q9fj61bt+LTTz99yZFTU3v06BEcHR3xn//8R6H6169fx9tvv42BAwciPT0d4eHhCAsLq3fyRC1ffa+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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_users_hoarding_cpu_cores = analyzer.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=ResourceHoardingDataFrameNameEnum.USERS_WITH_RESOURCE_HOARDING_METRICS,\n", + " sorting_key=\"expected_value_core_hoarding_fraction_diff\",\n", + " ascending=False, # Sort in descending order\n", + " filter_criteria={\"expected_value_core_hoarding_fraction_diff\": {\"min\": 0, \"inclusive\": True}},\n", + ")\n", + "# Plot top inefficient users by CPU core hoarding fraction, with CPU core hoarding fraction as labels\n", + "users_with_metrics_visualizer = UsersWithMetricsVisualizer(inefficient_users_hoarding_cpu_cores.head(10))\n", + "users_with_metrics_visualizer.visualize(\n", + " column=\"expected_value_core_hoarding_fraction_diff\",\n", + " bar_label_columns=[\n", + " \"expected_value_alloc_vram_efficiency\",\n", + " ],\n", + " figsize=(10, 6),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "38", + "metadata": {}, + "source": [ + "## [PI Group Analysis](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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4account_1396171156.08861117.794813e+04-162.267597-180.3232040.3731440.3412721.000000
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180 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " pi_account job_count pi_acc_job_hours user_count pi_acc_vram_hours \\\n", + "0 account_90 2 1.134444 1 9.075556e+01 \n", + "1 account_41 23 169.768889 1 8.328682e+03 \n", + "2 account_02 5 8.562222 1 4.026889e+02 \n", + "3 account_21 73 3968.218333 2 2.617335e+05 \n", + "4 account_139 617 1156.088611 1 7.794813e+04 \n", + ".. ... ... ... ... ... \n", + "175 account_268 2 25.034444 2 4.694364e+03 \n", + "176 account_59 41 184.175556 1 2.686353e+03 \n", + "177 account_237 2 16.006111 1 7.281631e+02 \n", + "178 account_278 107 194.784444 2 1.558672e+04 \n", + "179 account_307 797 12080.7375 2 1.994394e+06 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "0 -220.562838 -220.562838 \n", + "1 -1282.207141 -1362.21702 \n", + "2 -396.930467 -365.620992 \n", + "3 -5152.786369 -4610.007878 \n", + "4 -162.267597 -180.323204 \n", + ".. ... ... \n", + "175 -10203.742195 -11382.264586 \n", + "176 -216.874174 -216.874174 \n", + "177 -177.966109 -177.966109 \n", + "178 -104.899321 -117.506854 \n", + "179 -12232.922887 -11378.455018 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "0 0.007890 \n", + "1 0.082993 \n", + "2 0.007700 \n", + "3 0.296226 \n", + "4 0.373144 \n", + ".. ... \n", + "175 0.015735 \n", + "176 0.056281 \n", + "177 0.870793 \n", + "178 0.440610 \n", + "179 0.141636 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \n", + "0 0.007890 1.000000 \n", + "1 0.081051 1.000000 \n", + "2 0.011333 1.000000 \n", + "3 0.319388 1.000000 \n", + "4 0.341272 1.000000 \n", + ".. ... ... \n", + "175 0.010887 3.948761 \n", + "176 0.056281 1.885030 \n", + "177 0.870793 1.000000 \n", + "178 0.436566 1.050669 \n", + "179 0.144154 2.496610 \n", + "\n", + "[180 rows x 10 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pi_accounts_with_metrics" + ] + }, + { + "cell_type": "markdown", + "id": "40", + "metadata": {}, + "source": [ + "#### [Find Inefficient PIs based on `avg_requested_vram_efficiency_score`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "41", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Minimum value for avg_requested_vram_efficiency_score: -551714.4346574974\n" + ] + }, + { + "data": { + "image/png": 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sbGwQGxuLESNGYMOGDRg7diwSExPx8eNHANXPY5cuXfDXX3/By8sLK1asQElJCdzc3GrNpSGOd+/eoV+/fmjfvj2Cg4NhZmYGf39/dgy8ubk5li5dCgCYPHky+5zb29ujrKwMTk5OSE5OxowZM7Bp0yZMnjwZDx8+rDX+ua66nZ2d0bFjR6xduxYtW7bEtGnT2OCVgoICBg8ejP3796OyslLg2JiYGDAMI/DeqEtMTAzk5eXh4uICGxsbGBkZCQSTOBwORo8ejfT0dIHAHlA9sWxeXp5APceOHQOXy63zs/Kl+J9bFRUVoel5eXl4+/atwOPT55v/3qrZzZ5PWVkZAwcOREZGxmcHQfjKy8trteXt27coLi5m8+jr6yM+Ph7Pnj37orpqqqysFFq3sPH0dRk7diyAhoe08V//mkGsyspKttu8np5evWVUVFTg2bNnQl/Xo0ePoqioCCNHjoSWlhYcHBzqDHgCgL29PVq2bCnQnv3790NBQQEDBgyotx01ifIa8tV87717965WnpKSklpllZaW1ln/gwcPcP/+fQwaNAiKiopitb2mwsJCoedS86YCUP2/pKKiosGhTseOHYOhoSG6dOkiUhtWrVoFDQ0NTJkyBTdu3MCmTZswd+5cocO1PsUfXnbgwAH2e78uR48eBZfLxdChQxtsz6VLl/Du3TuMHj26zuGX/O+K48ePN1gef76JT4eU8X38+FHo819RUdFguYSIrUn7bxBCyP9AzS7Mhw8fZgAwy5cvF8g3dOhQhsPhMP/++y+7DwADgPn777/ZfU+ePGHk5OSYwYMH11uvsK6R/G7JvXv3Zqqqqtj9Pj4+jKSkJPP+/XuGYRimsLCQadasWa0uoTk5OYyysrLA/rq6OtfVdbdHjx5Mjx492O2IiAgGABMSElLrHD5tIwBm8eLF7Lanpyejra3NvH37VuCYkSNHMsrKymzXan7XWnNzc4Gu4GFhYQwAJj09nd33OUM8+vbty7x584Z58+YNc/v2bWbkyJEMAIEuvuIMO1i3bh3D5XKZgoIChmEY5p9//mEAMIcOHRLIZ29vzygqKjJPnjwR2P/pc+bh4cFISEgI7YbOzzd79mwGAHPx4kU2rbCwkGnVqhVjYGDAdh3mv86PHj0SKIf//CYkJAicLwAmMjKS3VdaWspoaWkxQ4YMYffV1d3+1q1bInerrolfd3BwsEDdVlZWTPPmzdlu3n/99RcDgDl16pTA8ZaWlgLvz/pYWFgw7u7u7Pavv/7KqKurM+Xl5ey+u3fvMgAEumYzTPX7VE5OjsnPz2f3qaioCO1eX1BQwL7H3rx5I7SL/qf4n/2goCDmzZs3TE5ODnPx4kXG2tpa6PPK/6wKe5iamrL5rKysGGVl5XrrDgkJYQAwR48eZRjm84d41NWeT4fL7Ny5kwHAyMjIMD179mQCAwOZixcv1tvdXZQhHnXVPWXKFDZffUM8+JSVlZkOHTrUmc5nbW3NtGzZUqDdp0+fZgAw27ZtE8hb8zsnPT2dGTt2bJ1DIFxcXJiuXbuy27///jsjJSXFvH79WiDfp9/Xc+fOZVq3bi3QvgkTJjAMI9pQC347RXkN63rv1fwerqusT1/Hmv9zjhw5wgBgQkNDG2wvw9Q/xKOux8uXLwXOmT+sZcKECYycnBw7dKPm5yA/P58BwAwcOFCktvH9+eefDABGVVWVMTQ0bHAIEZ+HhwcDgFFRUWEGDx7MrFu3TugQDhUVFaZ9+/Yilbl+/Xqh/5s+lZeXxw4d4uvRowdjZmbGvofv37/PzJs3jwFQa1gQ/zWp63H16lWR2kqIOGiSTELID+fkyZOQlJTEzJkzBfbPmTMHf/75J06dOiXQm8HOzo6dpAoA9PT0MHDgQBw7dgyVlZWQlJQUuw2TJ08WmHSxe/fuCA0NxZMnT2BpaYmzZ8/i/fv3GDVqlMCM6JKSkujcuTMSEhLErrMucXFxUFdXFzrzeV0TQzIMg7i4OAwfPhwMwwi00cnJCbGxsbh586ZAl9YJEyYIdAXnd3d/+PDhFy1LeebMGWhoaLDbkpKSGDt2LNasWfNZ5UVFRWHAgAHsHT9jY2N07NgRUVFRGDRoEADgzZs3SEpKwqxZs2rdXeU/Z1VVVTh8+DBcXV3RqVOnWvXw8508eRI2NjYCq00oKChg8uTJCAgIwL179z7r+VFQUMCYMWPYbRkZGdjY2ODhw4cNHsufjPCvv/6Cs7MzeDyeWHVLSUlhypQpAnVPmTIF06ZNw40bN2Bra4vevXtDR0cHUVFR7KoCd+7cQVpaGrZv395gHWlpaUhPTxfo2jxq1CisXLkSf/31F3u3uU2bNujQoQNiY2OxcuVKANVDvI4ePQoXFxcoKSmxxxcUFAidpHLs2LEC3fKnT5+O8PDwBtu4ePFigeEWCgoKCA4OrvPuaFxcnEB7AEBeXp79u7CwsME70fx0UVaxqE/nzp3ZCUc/ZWxszP49ceJEtGjRAiEhIUhISEBCQgKWLVsGQ0ND7N27V+Q70zUZGBgIfQ+0bNlSrHIUFBREeh7GjBmDWbNmISkpiR3+Fh0dDRkZGQwbNqxW/prfOUD199tvv/0msC83Nxd//fUXQkND2X1DhgzB9OnT8ccff2D69OlC2zN69GisW7cOKSkpUFFRQUpKCvveFYcoryFfzfeesMkvBw4cWKunX9u2beusv6CgAAC+uPcEACxatEhgUlU+VVVVofkXLlyIvXv3YvXq1QgLC2u0tg0ZMgTOzs44efIkoqKiRJokFAB27doFGxsbRERE4NChQ2xvwl69eiEyMhItWrRg2yVqm/jv7fry89P458t3//79Wu9hNzc37Ny5U2g5kydPFvpZaNOmjUhtJUQcFKAghPxwnjx5Ah0dnVr/1Pmrejx58kRgv7AfcyYmJvj48SPevHkjsMyaqGpe1PK7BvO71T548ABA9VhqYWpexHyJrKwsmJqairVCx5s3b/D+/Xv8/vvvdS5fWnMca0Pn/Ln4P8I5HA54PB7Mzc2FdlEVRUZGBm7dugUPD49a82Ns2rQJBQUFUFJSYi/y6wscvHnzBgUFBQ0GF548eVJrPgFA8P34OQGKli1b1gowqaiosMsl1qdVq1bw9fVFSEgIoqKi0L17d7i5uWHMmDFCV1KoSUdHR+DCGqj+zADV3YhtbW0hISEBd3d3bNmyBR8/fgSPx0NUVBTk5OSE/hCuad++fZCXl4ehoSH7WsnJybErJXzaHd7d3R1z587FlStX0KVLFxw+fBgfP36sNYxEUVERRUVFtepaunQpe2HWp0+fBtvGx/9RX1JSgvPnz2PDhg21hrR8yt7eHurq6nWmKyoqCl3C8VP8i5YvnQNCXV1dYPWNujg5OcHJyQkfP37EjRs3sH//fmzduhUuLi64f//+Z7VDXl5epLobUlRUJFL9I0eOhK+vL6Kjo+Hg4ICSkhIcOnQI/fv3Fzpsg/+dU1lZiTt37mD58uV49+5drbk49u/fj/LycnTo0EHg+6Rz586IioqqM0DRoUMHmJmZITo6Gs2aNYOWllad/wvqI+prCDT83gOqv1PEeV34/6e+NFgGABYWFmLVbWhoiLFjx+L333/H/PnzG7Vt1tbWOHnypNDAc10kJCQwffp0TJ8+Hbm5ubh8+TK2bt2KU6dOYeTIkbh48SLbLlHbJEowsq4gBj8IWFVVhaysLKxYsQJv3ryBnJyc0HKMjY0b5TNJiCgoQEEIIU2grl4XzP8fT8tfi3zv3r1CAyBfe7nPhvDbN2bMGHaSzppqLu/X0Dl/LnF+hDeEP6Gej4+PwNKTfHFxcZgwYUKj1CWuunqz1HXB+6XPd3BwMMaPH48jR47gzJkzmDlzJlatWoXk5GSx72TXxcPDA7/99hsOHz6MUaNGITo6Gi4uLg0GQRiGQUxMDD58+CD0Dt7r169RVFTE9oYYNWoU/Pz8EB0djS5duiA6OhoqKiq1ls0zMzPD7du3UV5eLjChX31LVdbn0x/1Li4ukJSUxPz589GzZ0+xLm742rRpg9TUVGRnZ9c5LwI/AGVoaAgA7AWHsHkHgOqx5XVdlIiDx+Ohe/fu6N69O9TV1REUFIRTp07V+f3wtT179gz5+fkCSyzXpXnz5ujTpw/i4uKwadMmHDt2DIWFhXXOg/Lpd46TkxPMzMzg4uKCsLAwgXmM+HNNCJscEajuPcZ/nWoaPXo0tmzZAkVFRYwYMaLeSRi/VfxJHtPT05uk/gULFmDv3r1Ys2YN2/uNT0lJCTo6Ol80l9TnUlNTg5ubG9zc3ODg4IDExER2KWQzMzOkpqairKxM6OSzn+IHsdPS0mqdHx//+6Dm92TNIGDXrl3x008/4ddff8WGDRu+4OwI+XL/vW87Qgj5Qvr6+njx4kWtuw78WdP5E1rx8XszfOqff/4Bj8er1UWysRgZGQGo/uHcu3fvWo+aq3B8aV2ZmZkoLy8X+RgNDQ0oKiqisrJSaPt69+79WXdO67oI/19gGAbR0dHo2bMnDhw4UOthaWnJXnDwLyrq+3GroaEBJSWlBn8A6+vrIzMzs9b+mu9H/p3cmpNU1uzxI46Gnm8LCwssXLgQSUlJuHjxIp4/fy6wGkddXrx4UWtCw3/++QcABFZmadeuHTp06ICoqChcvHgR2dnZ7OSG9UlMTMSzZ8+wdOnSWq/T77//jo8fP+Lw4cNsfh0dHfZ1ffXqFc6ePYuhQ4fWugBwcXFhV134GhYsWABFRUV2Fn5xubq6AgAiIyOFphcUFODIkSP46aef2Pco//0j7D3G31/zO+9L8YMvL1++bNRyxbF3714A1QEEUbi7uyMvLw+nTp1CdHQ0lJSU2Oe7IQMGDECPHj2wcuVK9n3PX1HG29u71nt0//79kJGREbq6DN/o0aPx8uVL/PPPP//J1TuA6l5TpqamOHLkiNCeSV+bkZERxowZg23btgl9L7q4uCArKwtXr179n7eNr+ZnxdXVFcXFxYiLi2vw2G7duqFZs2aIjo6uM1DN/65oaKUUS0tL9rnKzs4W5xQIaXQUoCCE/HCcnZ1RWVlZawx5aGgoOBwO+vfvL7D/6tWrAkvQPX36FEeOHEHfvn0/a/4JUTg5OUFJSQkrV64UGjgQtiTp5xoyZAjevn0rdEx9XXfbJSUlMWTIEHbZw8Zqn7y8vMjLWDa2y5cv4/Hjx5gwYQKGDh1a6zFixAgkJCTgxYsX0NDQgL29PSIiImr9mOM/ZxISEuyqHn///Xet+vj5nJ2dcf36dYEfyR8+fMDvv/8OAwMD9s4XP2j16RK3lZWVdQ6xEQV/GEbNoEdBQUGt2dktLCwgISFR76z9fBUVFdi2bRu7XVZWhm3btkFDQ0NgPhegen6HM2fOYP369VBTU6v1+ROGP7xj3rx5tV6nSZMmwdjYuNZKCe7u7nj9+jWmTJmC8vJyoXfHp02bBk1NTfj4+LABlU99aW+fZs2aYcqUKfjrr7+Qmpoq9vFDhgxB27ZtsXr16lrvqaqqKkybNg3v3r0TWOpWW1sbVlZW2LdvX63X+caNG0hOThbpORcmPj5e6P6TJ08CAExNTT+r3C91/vx5LFu2DK1atRJpNRgAGDRoEHg8HjZv3oxTp07h559/Fqtnib+/P3Jzc9m5M/jvPz8/v1rv0eHDh6NHjx71ruZhZGSE9evXY9WqVbCxsRG5Hd+aoKAg5Obm4pdffhG64sOZM2dEWmHicy1cuBDl5eUCSyzz+fn5QV5eHr/88gtevXpVKz0rK0vo/BXiysnJYZcm/VRZWRni4+MhISHB9vSZOnUqtLW1MWfOHKHfQa9fv2bnFeHxeJg7dy4yMzNrLW8NACdOnMDu3bvh5OQEW1vbBtvp5+eH8vJyhISEiHuKhDQqGuJBCPnhuLq6omfPnliwYAEeP36M9u3b48yZMzhy5Ahmz57NXgjytWvXDk5OTpg5cyZkZWWxefNmANU/vL4WJSUlbNmyBWPHjsVPP/2EkSNHQkNDA9nZ2Thx4gS6du0q0iR9ovDw8EBkZCR8fX1x/fp1dO/eHR8+fMC5c+fg5eWFgQMHCj1u9erVSEhIQOfOnTFp0iS0adMGeXl5uHnzJs6dO4e8vDyx29KxY0fs378fvr6+sLa2hoKCgsh3Mb9UVFQUJCUl61zKz83NDQsWLEBsbCx8fX2xYcMGdOvWDT/99BMmT56MVq1a4fHjxzhx4gR78bly5UqcOXMGPXr0wOTJk2Fubo6XL1/iwIEDuHTpEpo1a4b58+cjJiYG/fv3x8yZM6Gqqoo9e/bg0aNHiIuLY7t2t23bFra2tggICEBeXh5UVVURGxv7Rcu8GRkZoVmzZti6dSsUFRUhLy+Pzp074/bt2/D29sawYcNgYmKCiooK7N27lw1MNURHRwdr1qzB48ePYWJigv379yM1NRW///67wNAJoPpOsZ+fHw4dOoRp06bVSq+ptLQUcXFx6NOnT50XkG5ubggLC8Pr16/ZnjxDhgyBl5cXjhw5Al1dXdjb29c6TlVVFYcOHYKrqyvat2+PkSNHwtraGtLS0nj69CkOHDgAoPZ8KuKYNWsW1q9fj9WrVyM2NlYg7c8//xQ6SWefPn2gqakJaWlpxMXFoVevXujWrRsmTJiATp064f3794iOjsbNmzfx66+/1lomNSQkBE5OTrCyssL48eOho6ODjIwM/P7779DW1kZAQECtOp8/f84OefqUgoIC25184MCBaNWqFVxdXWFkZMR+bxw7dgzW1taf/dnNz88XWjcAgYlfAeDUqVO4f/8+Kioq8OrVK5w/fx5nz56Fvr4+jh49KnKQgX9e/F4NogY2+Pr374927dohJCQE06dPR1RUFKysrKCrqys0v5ubG2bMmIGbN2/ip59+Eppn1qxZYrWhJlFew69txIgRSE9Px4oVK3Dr1i2MGjUK+vr6yM3NxenTpxEfH19vTxK+ixcvoqSkpNZ+S0vLeodg8XtR7NmzR2hadHQ0RowYAXNzc3h4eKBdu3YoKyvDlStXcODAAYwfP16s8xXm2bNnsLGxQa9eveDo6AgtLS28fv0aMTExuH37NmbPns3O/6GiooJDhw7B2dkZVlZWGDNmDBvUvXnzJmJiYmBnZ8eWPX/+fNy6dQtr1qzB1atXMWTIEHC5XFy6dAn79u2Dubm50HMXpk2bNnB2dsaOHTsQGBgosFT3zZs3hb6XjIyMBNpDSKNootVDCCHkf0bYMnqFhYWMj48Po6Ojw0hLSzPGxsbMb7/9JrBEJMP835Ju+/btY4yNjRlZWVmmQ4cOAks61qW+ZUZrLo0nbKlI/n4nJydGWVmZkZOTY4yMjJjx48cLLHv6pcuMMgzDfPz4kVmwYAHTqlUrRlpamtHS0mKGDh3KZGVlCTwXny4zyjAM8+rVK2b69OmMrq4ue5yjoyPz+++/1zq3mssc8p+fT5epKyoqYkaPHs00a9ZM6FJ3NX26rFx9GlpmtKysjFFTU2O6d+9ebzmtWrUSWLbwzp07zODBg5lmzZoxcnJyjKmpKRMYGChwzJMnTxgPDw9GQ0ODkZWVZQwNDZnp06cLLLmalZXFDB06lC3HxsaGOX78eK36s7KymN69ezOysrKMpqYm8+uvvzJnz54VusyosPMdN25cref0yJEjTJs2bRgpKSn29Xj48CEzceJExsjIiJGTk2NUVVWZnj17MufOnav3+fm07r///puxs7Nj5OTkGH19fSY8PLzOY5ydnRkAzJUrVxosPy4ujgHA7Ny5s848Fy5cYAAwYWFhAvuHDRvGAGD8/PzqrePly5fMvHnzmDZt2jBcLpd93Tw8PJikpKQG2yjss/+p8ePHM5KSkuySxvUtMyrse+HNmzfMnDlzmNatWzMyMjJsvvqek+TkZMbFxYVRUVFhpKSkmBYtWjC//PIL8+zZs1p561ui8tP3T0xMDDNy5EjGyMiI4XK5jJycHNOmTRtmwYIF7DK9NX3JMqOffo/zv/f4DxkZGUZLS4vp06cPExYWVmf99Tlx4gQDgNHW1q5zqdT6vnN2797NANVL7AKo9V3wqcePHzMAGB8fH4Zh6v6+ron/P6khor6GjVlvfWXFx8czAwcOZJo3b85ISUkxGhoajKurK3PkyBE2z+csM/rp/6S6XpsHDx4wkpKSQv8PMUz1UtKTJk1iDAwMGBkZGUZRUZHp2rUrs3HjRqakpESs8xSmoKCACQsLY5ycnJiWLVsy0tLSjKKiImNnZ8ds37691u8OhmGYFy9eMD4+PoyJiQkjJyfH8Hg8pmPHjsyKFSsElkZmGIaprKxkdu3axXTt2pVRUlJi5OTkmLZt2zJBQUFCl0Su7/8h/7uT/7w2tMzouHHjRHoOCBEHh2G+sL8iIYR8xzgcjshLChJCPs/gwYORnp4usNIBEV16ejq6d+8OXV1dXLp0SaSVVgghhJBvEc1BQQghhJAm8/LlS5w4cUKkyTGJcBYWFjhy5AgePHiAQYMGoaysrKmbRAghhHwWmoOCEEIIIf9zjx49wuXLl7Fjxw5IS0tjypQpTd2k/7QePXoIHaNPCCGE/JdQDwpCCCGE/M8lJiZi7NixePToEfbs2QMtLa2mbhIhhBBCmhjNQUEIIYQQQgghhJAmRz0oCCGEEEIIIYQQ0uQoQEEIIYQQQgghhJAmR5Nkkm9eVVUVXrx4AUVFRXA4nKZuDiGEEEIIIYQQMTAMg8LCQujo6EBCou5+EhSgIN+8Fy9eQFdXt6mbQQghhBBCCCHkCzx9+hQtW7asM50CFOSbp6ioCKD6zaykpNTErSGEEEIIIYQQIo6CggLo6uqy13Z1oQAF+ebxh3UoKSlRgIIQQgghhBBC/qMaGrJPk2QSQgghhBBCCCGkyVGAghBCCCGEEEIIIU2OAhSEEEIIIYQQQghpchSgIIQQQgghhBBCSJOjAMUPyMDAAOvXr2/qZhBCCCGEEEIIISwKUPyAUlJSMHnyZJHylpSUYPr06VBTU4OCggKGDBmCV69esem3b9/GqFGjoKurCy6XC3Nzc4SFhX2tphNCCCGEEEII+U5RgOIHpKGhAR6PJ1JeHx8fHDt2DAcOHEBiYiJevHiBn3/+mU2/ceMGmjdvjn379uHu3btYsGABAgICEB4e/rWa/z/xX+llwuFwcPjwYZHzjx8/HoMGDfrs+hwcHDB79uzPPp4QQgghhBBC6kIBiu+Qg4MDvL294e3tDWVlZairqyMwMBAMwwAQ/eI7Pz8fO3fuREhICHr16oWOHTti165duHLlCpKTkwEAEydORFhYGHr06AFDQ0OMGTMGEyZMwMGDB7/mKX514vQyaUovX75E//79m7oZ/xkcDkfo47fffqvzmKSkJLi6ukJHR6fOgBDDMFi0aBG0tbXB5XLRu3dvPHjwQCCPm5sb9PT0ICcnB21tbYwdOxYvXrxo7FMkhBBCCCHkP4sCFN+pPXv2QEpKCtevX0dYWBhCQkKwY8cOscq4ceMGysvL0bt3b3afmZkZ9PT0cPXq1TqPy8/Ph6qq6me3/VsgTi+TpqSlpQVZWdmmbsZXV1ZW1ijlvHz5UuAREREBDoeDIUOG1HnMhw8f0L59e2zatKnOPGvXrsWGDRuwdetWXLt2DfLy8nByckJJSQmbp2fPnvjjjz+QmZmJuLg4ZGVlYejQoY1yXoQQQgghhHwPKEDxndLV1UVoaChMTU3h7u6OGTNmIDQ0VKwycnJyICMjg2bNmgns19TURE5OjtBjrly5gv3793/TvQ8a6mECiDfEIyQkBBYWFpCXl4euri68vLxQVFQkkOfy5ctwcHAAj8eDiooKnJyc8O7dOwBAVVUV1q5di9atW0NWVhZ6enpYsWKFSHXXvKOfnp6OXr16gcvlQk1NDZMnT67VFgAICgqChoYGlJSUMHXqVLECAFVVVfDz84Oqqiq0tLSwZMkSgfTs7GwMHDgQCgoKUFJSwvDhwwXmLRE2zGT27NlwcHBgt/mv0ezZs6Gurg4nJycwDIMlS5ZAT08PsrKy0NHRwcyZM0VuN1Ad0Pn0ceTIEfTs2ROGhoZ1HtO/f38sX74cgwcPFprOMAzWr1+PhQsXYuDAgbC0tERkZCRevHgh8Nr4+PjA1tYW+vr66NKlC+bPn4/k5GSUl5eLdQ6EEEIIIYR8ryhA8Z2ytbUFh8Nht+3s7PDgwQNUVlZ+tTrv3LmDgQMHYvHixejbt+9Xq6cxNEYPEz4JCQls2LABd+/exZ49e3D+/Hn4+fmx6ampqXB0dESbNm1w9epVXLp0Ca6uruxrERAQgNWrVyMwMBD37t1DdHQ0NDU1xW7Hhw8f4OTkBBUVFaSkpODAgQM4d+4cvL29BfLFx8cjIyMDFy5cQExMDA4ePIigoCCR69mzZw/k5eVx7do1rF27FkuXLsXZs2cBVAcvBg4ciLy8PCQmJuLs2bN4+PAhRowYIfb57NmzBzIyMrh8+TK2bt2KuLg4hIaGYtu2bXjw4AEOHz4MCwsLNv+SJUtgYGAgcvmvXr3CiRMn4OnpKXbbPvXo0SPk5OQI9DRSVlZG586d6+xplJeXh6ioKHTp0gXS0tJfVD8hhBBCCCHfC6mmbgD5dmlpaaGsrAzv378X6EXx6tUraGlpCeS9d+8eHB0dMXnyZCxcuPB/3FLx8XuYcDgcmJqaIj09HaGhoZg0aZLYZX06aaSBgQGWL1+OqVOnYvPmzQCqu/936tSJ3QaAtm3bAgAKCwsRFhaG8PBwjBs3DgBgZGSEbt26id2O6OholJSUIDIyEvLy8gCA8PBwuLq6Ys2aNWzQQ0ZGBhEREeDxeGjbti2WLl2KefPmYdmyZZCQaDhmaWlpicWLFwMAjI2NER4ejvj4ePTp0wfx8fFIT0/Ho0ePoKurCwCIjIxE27ZtkZKSAmtra5HPx9jYGGvXrmW3T5w4AS0tLfTu3RvS0tLQ09ODjY0Nm66urg4jIyORy9+zZw8UFRUFJn39HPzeRDWDSsJ6Gvn7+yM8PBwfP36Era0tjh8//kV1E0IIIYQQ8j2hHhTfqWvXrglsJycnw9jYGJKSkiKX0bFjR0hLSyM+Pp7dl5mZiezsbNjZ2bH77t69i549e2LcuHEiD01oao3Zw+TcuXNwdHREixYtoKioiLFjxyI3NxcfP34E8H89KITJyMhAaWlpneniyMjIQPv27dngBAB07doVVVVVyMzMZPe1b99eYH4NOzs7FBUV4enTpyLVY2lpKbCtra2N169fs23Q1dVlgxMA0KZNGzRr1gwZGRlinU/Hjh0FtocNG4bi4mIYGhpi0qRJOHToECoqKth0b29vgfdqQyIiIuDu7g45OTmx2vUl5s2bh1u3buHMmTOQlJSEh4eHwNAiQgghhBBCfmQUoPhOZWdnw9fXF5mZmYiJicHGjRsxa9YsscpQVlaGp6cnfH19kZCQgBs3bmDChAmws7ODra0tgOphHT179kTfvn3h6+uLnJwc5OTk4M2bN1/jtL45jx8/houLCywtLREXF4cbN26wkyny53Xgcrl1Hl9f2req5pAEDoeDqqoqkY+XkJCodVEubB6GTwMtQHWvl8zMTGzevBlcLhdeXl6wt7f/rDkcLl68iMzMTPzyyy9iH1sTvzfRp/Ns8Ldr9jRSV1eHiYkJ+vTpg9jYWJw8eZJdEYcQQgghhJAfHQUovlMeHh4oLi6GjY0Npk+fjlmzZn3WxJWhoaFwcXHBkCFDYG9vDy0tLYElRP/880+8efMG+/btg7a2NvsQpyt/U2iMHiZA9UonVVVVCA4Ohq2tLUxMTGotHWlpaVnnnX1jY2NwuVyx7vzXxdzcHLdv38aHDx/YfZcvX4aEhARMTU3Zfbdv30ZxcTG7nZycDAUFBYFeD1/ShqdPnwr0xrh37x7ev3+PNm3aAKheIeXly5cCx6WmpopUPpfLhaurKzZs2IALFy7g6tWrSE9PF7udO3fuRMeOHdG+fXuxj62pVatW0NLSEngNCwoKcO3aNYGeRjXxgzqlpaVf3AZCCCGEEEK+BxSg+E5JS0tjy5YtyM/PR15eHlasWMEOaXj8+LHAvAn1kZOTw6ZNm5CXl4cPHz7g4MGDAneFlyxZAoZhaj0eP378Fc6q8TRGDxMAaN26NcrLy7Fx40Y8fPgQe/fuxdatWwXyBAQEICUlBV5eXkhLS8P9+/exZcsWvH37FnJycvD394efnx8iIyORlZWF5ORk7Ny5U+y28IcrjBs3Dnfu3EFCQgJmzJiBsWPHCsyPUFZWBk9PT9y7dw8nT57E4sWL4e3tLdL8Ew3p3bs3LCws4O7ujps3b+L69evw8PBAjx490KlTJwBAr1698PfffyMyMhIPHjzA4sWLcefOnQbL3r17N3bu3Ik7d+7g4cOH2LdvH7hcLvT19QFUz7chylCZgoICHDhwQOTeE0VFRUhNTWWDKI8ePUJqaiqys7MBVPcgmT17NpYvX46jR48iPT0dHh4e0NHRYVcruXbtGsLDw5GamoonT57g/PnzGDVqFIyMjOoNYhBCCCGEEPIjoQAF+SE1Vg+T9u3bIyQkBGvWrEG7du0QFRWFVatWCeQxMTHBmTNncPv2bdjY2MDOzg5HjhyBlFT1HLWBgYGYM2cOFi1aBHNzc4wYMYKd00EcPB4Pf/31F/Ly8mBtbY2hQ4fC0dER4eHhAvkcHR1hbGwMe3t7jBgxAm5ubrWWCv1cHA4HR44cgYqKCuzt7dG7d28YGhpi//79bB4nJycEBgbCz88P1tbWKCwshIeHR4NlN2vWDNu3b0fXrl1haWmJc+fO4dixY1BTUwMAvH37FllZWQ2WExsbC4ZhMGrUKKHpDg4OGD9+PLv9999/o0OHDujQoQMAwNfXFx06dMCiRYvYPH5+fpgxYwYmT54Ma2trFBUV4fTp0+z8FjweDwcPHoSjoyNMTU3h6ekJS0tLJCYmQlZWtsE2E0IIIYQQ8iPgMDRD23fHwcEBVlZWWL9+fb35oqKiMGXKFKFp+vr6uHv37ldonfgKCgqgrKyM/Px8KCkpfXF5oj4/37rS0lLIycnh7NmzAktcki+jr6+PoKAggSAFIYQQQggh5POJek1Hy4x+hy5cuCBSPjc3N3Tu3FloWs2JEMm3paCgAAcPHoSEhATMzMyaujnfjbt370JZWVmkHh2EEEIIIYSQxkUBih+YoqIiFBUVm7oZ37Sm7GWycuVKrFy5UmiatbU17t27hzVr1qBly5aNUl92djY7kaUw9+7dg56eXqPU9a1q27Yt0tLSmroZhBBCCCGE/JBoiAf5ppSWltZa1aCgoAC6urqNNsRDHIWFhbWWj+STlpZmJ2j8GvLy8pCXlyc0jcvlokWLFo1aX0VFRb2TmxoYGLDzZhBCCCGEEEKIqEQd4kEBCvJNWbJkCYKCgoSmNUWAghBCCCGEEELIlxE1QEGreJBvSkBAAPLz8wUeT58+/Z+3w8DA4D8/iea3hsPh4PDhw03dDEIIIYQQQsg3igIU5JsiKysLJSWlWo//tZSUlM9adpR8v9zc3KCnpwc5OTloa2tj7NixePHiRb3HODg4gMPhCDymTp3Kpt++fRujRo2Crq4uuFwuzM3NERYW1mBb+GUlJycL7C8tLYWamho4HI7Ik+USQgghhBDyraAB5U2kvLwcERER+Oeff9C8eXP4+/s3dZPIJzQ0NJq6CV9FWVkZZGRkmroZ/1Pl5eWNsipNz5498euvv0JbWxvPnz/H3LlzMXToUFy5cqXe4yZNmoSlS5ey2zwej/37xo0baN68Ofbt2wddXV1cuXIFkydPhqSkJLy9vestV1dXF7t27YKtrS2779ChQ1BQUKhz7hJCCCGEEEK+ZdSDQgx79+7FtWvXAABBQUF4+/btZ5d18+ZNvHr1CqtXrxYanPjnn38wZ86cWvuPHz+OrVu3fna9X0NhYSF27dqFX3/9Fb6+vli5cuU3vRKCg4MDvL294e3tDWVlZairqyMwMBCfTscizhCPkJAQWFhYQF5eHrq6uvDy8kJRUZFAnsuXL8PBwQE8Hg8qKipwcnLCu3fvAABVVVVYu3YtWrduDVlZWejp6WHFihUN1tulS5da7503b95AWloaSUlJ7HksW7YMHh4eUFJSYnuF+Pv7w8TEBDweD4aGhggMDER5eTlbzpIlS2BlZYWIiAjo6elBQUEBXl5eqKysxNq1a6GlpYXmzZuL1M5PvX37FoMHDwaPx4OxsTGOHj0qkJ6YmAgbGxvIyspCW1sb8+fPR0VFBZsu7HWxsrLCkiVL2G0Oh4MtW7bAzc0N8vLyWLFiBd69ewd3d3doaGiAy+XC2NgYu3btEqvtPj4+sLW1hb6+Prp06YL58+cjOTlZ4HkThsfjQUtLi3182iNo4sSJCAsLQ48ePWBoaIgxY8ZgwoQJOHjwYIPtGTduHGJjY1FcXMzui4iIwLhx48Q6L0IIIYQQQr4VFKAQw5MnT6Cvr4/i4mJ8+PAB6urqn11Wbm4umjdv3ih3dr8UwzCoqqr67ONLS0vRsmVLzJs3D+vWrYOLiwsiIiLw8uXLRmxl49qzZw+kpKRw/fp1hIWFISQkBDt27PissiQkJLBhwwbcvXsXe/bswfnz5+Hn58emp6amwtHREW3atMHVq1dx6dIluLq6orKyEkD1vBurV69GYGAg7t27h+joaGhqajZYr7u7O2JjYwUCK/v374eOjg66d+/O7lu3bh3at2+PW7duITAwEED1ErO7d+/GvXv3EBYWhu3btyM0NFSg/KysLJw6dQqnT59GTEwMdu7ciQEDBuDZs2dITEzEmjVrsHDhQjZoJ4qgoCAMHz4caWlpcHZ2hru7O3u3//nz53B2doa1tTVu376NLVu2YOfOnVi+fLnI5fMtWbIEgwcPRnp6OiZOnMg+t6dOnUJGRga2bNki8Pl1cHDA+PHjRS4/Ly8PUVFR6NKlS4Of4aioKKirq6Ndu3YICAjAx48f682fn58PVVXVBtvQsWNHGBgYIC4uDkD1MrFJSUkYO3asyOdBCCGEEELIt4SGeIiotLQU79+/h6amJjIzM6Gnp9fgMdeuXcPp06dRUFAAHR0dDBs2DHp6eoiLi8OFCxfAMAx8fHzg6OgIFxcXsdtUXl6O2NhYpKWlobKyEioqKhg7diwMDAzAMAwuXLiApKQkFBQUoGXLlhg5ciS0tbUBAAsXLkS3bt2QlpaG58+fw8/PD8+fP8eJEydQUFAAOTk5dO/eHc7Ozg22Q11dHX369GG3LS0toampiUePHrH1fWt0dXURGhoKDocDU1NTpKenIzQ0FJMmTRK7rNmzZ7N/GxgYYPny5Zg6dSo2b94MAFi7di06derEbgNA27ZtAVT3PgkLC0N4eDh759vIyAjdunVrsN7hw4dj9uzZuHTpEhuQiI6OxqhRo8DhcNh8vXr1qtUbZ+HChQJtnjt3LmJjYwUCK1VVVYiIiICioiLatGmDnj17IjMzEydPnoSEhARMTU2xZs0aJCQkoHPnziI9V+PHj8eoUaMAACtXrsSGDRtw/fp19OvXD5s3b4auri7Cw8PB4XBgZmaGFy9ewN/fH4sWLYKEhOjx1NGjR2PChAnsdnZ2Njp06IBOnTqx5/wpPT09kd6r/v7+CA8Px8ePH2Fra4vjx4832A59fX3o6OggLS0N/v7+yMzMrLOHxJUrV7B//36cOHGiwbYA1T0wIiIiMGbMGOzevRvOzs7f7fAkQgghhBDy/aMARQNu3bqFffv2oaqqCuXl5Zg7dy7b5XzOnDno3bs3+vfvX+u4Bw8eIDY2Fl5eXjA0NERiYiLCw8MRFBSEIUOGQFZWFs+ePROYME9c165dw7NnzxAUFAQul4vXr1+zd3OTkpJw5coVTJs2DWpqakhKSsLWrVsRGBgIKanqlz05ORnTpk2DhoYGSktLsWrVKsyaNQvGxsb4+PEjXr9+zda1fPlyODk5wdrausF2FRYWIicnBy1atPjsc/vabG1tBS7i7ezsEBwcjMrKSkhKSopV1rlz57Bq1Srcv38fBQUFqKioQElJCT5+/Agej4fU1FQMGzZM6LEZGRkoLS2Fo6Oj2OegoaGBvn37IioqCt27d8ejR49w9epVbNu2TSAf/6L8U/v378eGDRuQlZWFoqIiVFRU1JqM1MDAAIqKiuy2pqYmJCUlBQIFmpqaAu+ThlhaWrJ/y8vLQ0lJiT0+IyMDdnZ2Aq9L165dUVRUhGfPnokUFOSrec7Tpk3DkCFDcPPmTfTt2xeDBg1Cly5d2PTIyEiRyp03bx48PT3x5MkTBAUFwcPDA8ePHxdo86c+nWjVwsIC2tracHR0RFZWFoyMjATy3rlzBwMHDsTixYvRt29fkdozZswYzJ8/Hw8fPsTu3buxYcMGkY4jhBBCCCHkW0RDPBrQoUMHBAcHo1evXhgwYACCg4NhaGiI6dOnIzg4WGhwAgCuX78OGxsbGBsbQ1JSEr169QKPx8OdO3carW2SkpIoLS1FTk4OGIaBpqYm2zU8KSkJLi4uaN68OSQlJdGzZ0+UlZXh8ePH7PH29vbQ1NSEhIQEJCQkICkpiZycHBQXF4PH4wncZV64cKFIwYmKigrs3LkTP/30E/T19RvtXL9Vjx8/houLCywtLREXF4cbN25g06ZNAKonpAQALpdb5/H1pYnC3d0df/75J8rLyxEdHQ0LCwtYWFgI5JGXlxfYvnr1Ktzd3eHs7Izjx4/j1q1bWLBgAdtevppDFzgcjtB94gwP+tLjJSQkBIa0ABA6B0TNc+7fvz+ePHkCHx8fvHjxAo6Ojpg7d67I9fKpq6vDxMQEffr0QWxsLE6ePFlrJY368Hua/PvvvwL77927B0dHR0yePFmgd0tD1NTU4OLiAk9PT5SUlNT5fUQIIYQQQsh/AfWgENGDBw/g5uaGyspKPH36FK1atao3/7t372BiYiKwT11dnZ0YsSGSkpLsHAWf+vQOv42NDfLz8xETE4N3797B0tISP//8MxQUFJCbm4vdu3cL3O2uqKgQqF9FRYX9W1ZWFtOmTUN8fDwOHTqEFi1awMXFBaampiK1l1/+9u3bISMjA3d3d5GPawo1501ITk5mg0niuHHjBqqqqhAcHMw+13/88YdAHktLS8THxyMoKKjW8cbGxuByuYiPj8cvv/wi5lkAAwcOxOTJk3H69GlER0fDw8OjwWOuXLkCfX19LFiwgN335MkTsetubObm5oiLiwPDMGyPhMuXL0NRUREtW7YEUN1r5NO5TQoKCvDo0SORytfQ0MC4ceMwbtw4dO/enZ0z5XPxAyulpaUiH5OamgoAAsNJ7t69i169emHcuHFiTzoKVA/zcHZ2hr+/v9jvX0IIIYQQQr4lFKCoR3l5OebPnw8AKCkpwZYtW9ihHvPnz4eOjo7QlTaA6ov/3NxcgX25ubkCQYH6qKqqoqysDIWFhQLd7N++fQs1NTUA1UGMfv36oV+/figoKEBERAROnDiBESNGQEVFBUOHDmXnOhCmZrd0MzMzmJmZobKyEomJidi2bRvWrVsn0tj/iooK7NixA5WVlZgyZQo7jORblZ2dDV9fX0yZMgU3b97Exo0bERwcLHY5rVu3Rnl5OTZu3AhXV1dcvny51iorAQEBsLCwgJeXF6ZOnQoZGRkkJCRg2LBhUFdXh7+/P/z8/CAjI4OuXbvizZs3uHv3Ljw9PRusX15eHoMGDUJgYCAyMjLY+R3qY2xsjOzsbMTGxsLa2honTpzAoUOHxD73xubl5YX169djxowZ8Pb2RmZmJhYvXgxfX1/2PdirVy/s3r0brq6uaNasGRYtWiTSRfmiRYvQsWNHtG3bFqWlpTh+/DjMzc3ZdA8PD7Ro0QKrVq0Sevy1a9eQkpKCbt26QUVFBVlZWQgMDISRkRHs7OwAVE/y6ejoiMjISNjY2CArKwvR0dFwdnaGmpoa0tLS4OPjA3t7e3aoy507d9CrVy84OTnB19cXOTk5AKo/26LOJdGvXz+8efOm1hAdQgghhBBC/mtoiEc9pKWlERwcDE9PT1hYWLBDPVxdXREcHFxncAIArK2tkZKSgqysLFRWViIhIQEfPnyoN2DwKRUVFRgbGyMuLg4fP35EZWUl7ty5g7S0NHZ8fWZmJp4+fYrKykrIyMhAWlqavVizt7fH8ePH8erVKwBAcXExbt++jZKSEqH1FRQUIDU1FSUlJZCQkACXyxX5bmxlZSV27NiB0tJSTJky5ZtYmaQhHh4eKC4uho2NDaZPn45Zs2YJzBcgqvbt2yMkJARr1qxBu3btEBUVVesi18TEBGfOnMHt27dhY2MDOzs7HDlyhA3iBAYGYs6cOVi0aBHMzc0xYsQIseZ1cHd3x+3bt9G9e3eR5mlwc3ODj48PvL29YWVlhStXrrCrezSlFi1a4OTJk7h+/Trat2+PqVOnwtPTU2DIQ0BAAHr06AEXFxcMGDAAgwYNqjWXgzAyMjIICAiApaUl7O3tISkpidjYWDY9Ozu73lVneDweDh48CEdHR5iamsLT0xOWlpZITEyErKwsgOqAZmZmJrtKh4yMDM6dO4e+ffvCzMwMc+bMwZAhQ3Ds2DG23D///BNv3rzBvn37oK2tzT5EGU7Fx+FwoK6uDhkZGZGPIYQQQggh5FvEYWoO6Ca1REdHQ19fH127dsWKFSvg6ekJLS2tBo9LTk7GX3/9hfz8fHYVD/68DMePH29wksz8/HwcOnQImZmZKCsrg4aGBpydndm7rykpKTh58iTev38PaWlpmJmZYeTIkeDxeGAYBklJSUhKSsK7d+8gKysLIyMjjBkzBnJycli4cCGGDh0KKysrtq6IiAg8e/YMDMOgefPmGDx4MDvEY9myZXBycoKNjU2tdv7zzz9Yv349pKWlBXpbODk5oV+/fiI/z3UpKCiAsrIy8vPzG+UusYODA6ysrLB+/fovLosQQgghhBBCSP1EvaajAAX55lGAghBCCCGEEEL+u0S9pqMhHoTUIyoqCgoKCkIfog7X+VwrV66ss+5vbbWGpnyeCCGEEEIIId8H6kFBvnmN3YNCHIWFhew8HjVJS0t/1aVU8/LykJeXJzSNy+WiRYsWX61ucTXl80QIIYQQQgj5tol6TfdtL7VASBNTVFQUWEXlf0lVVRWqqqpNUre4mvJ5IoQQQgghhHwfaIgHIYQQQgghhBBCmhwFKAghhBBCCCGEENLkKEBBCCGEEEIIIYSQJkcBCkIIIYQQQgghhDQ5ClAQQgghhBBCCCGkyVGAghBCCCGEEEIIIU2OAhSEEEIIIYQQQghpchSgIIQQQgghhBBCSJOjAAUhhBBCCCGEEEKaHAUoCCGEEEIIIYQQ0uQoQEEIIYQQQgghhJAmJ9XUDSBEVD9N3Q5JGW5TN4MQQsgPLnO3V1M3gRBCCPkuUQ8KQgghhBBCCCGENDkKUPyADAwMsH79+qZuBiGEEEIIIYQQwqIAxQ8oJSUFkydPFilvSUkJpk+fDjU1NSgoKGDIkCF49eqVQJ6ZM2eiY8eOkJWVhZWV1VdoMSGEEPJj+q/cVOBwODh8+LDI+cePH49BgwZ9dn0ODg6YPXv2Zx9PCCHk20QBih+QhoYGeDyeSHl9fHxw7NgxHDhwAImJiXjx4gV+/vnnWvkmTpyIESNGNHZTCSGEkB+aODcVmtLLly/Rv3//pm7Gf0J5eTn8/f1hYWEBeXl56OjowMPDAy9evBDIZ2BgAA6HI/BYvXp1vWXn5ORg7Nix0NLSgry8PH766SfExcWx6RcuXKhVJv+RkpICAFiyZInQdHl5+cZ/MgghpAaaJPM75ODggHbt2gEA9u7dC2lpaUybNg1Lly4Fh8OBgYEBZs+e3eCdh/z8fOzcuRPR0dHo1asXAGDXrl0wNzdHcnIybG1tAQAbNmwAALx58wZpaWlf78QIIYSQH4yGhkZTN0EkWlpaTd2E/4mysjLIyMh8URkfP37EzZs3ERgYiPbt2+Pdu3eYNWsW3Nzc8PfffwvkXbp0KSZNmsRuKyoq1lu2h4cH3r9/j6NHj0JdXR3R0dEYPnw4/v77b3To0AFdunTBy5cvBY4JDAxEfHw8OnXqBACYO3cupk6dKpDH0dER1tbWX3LahBAiEupB8Z3as2cPpKSkcP36dYSFhSEkJAQ7duwQq4wbN26gvLwcvXv3ZveZmZlBT08PV69ebewmE0IIIT8UBwcHeHt7w9vbG8rKylBXV0dgYCAYhmHziDPEIyQkhL0rr6urCy8vLxQVFQnkuXz5MhwcHMDj8aCiogInJye8e/cOAFBVVYW1a9eidevWkJWVhZ6eHlasWCFS3TWHeKSnp6NXr17gcrlQU1PD5MmTa7UFAIKCgqChoQElJSVMnToVZWVlItXHb6+fnx9UVVWhpaWFJUuWCKRnZ2dj4MCBUFBQgJKSEoYPHy4wTFXYMJPZs2fDwcGB3ea/RrNnz4a6ujqcnJzAMAyWLFkCPT09yMrKQkdHBzNnzhS53crKyjh79iyGDx8OU1NT2NraIjw8HDdu3EB2drZAXkVFRWhpabGPhnoxXLlyBTNmzICNjQ0MDQ2xcOFCNGvWDDdu3AAAyMjICJSnpqaGI0eOYMKECeBwOAAABQUFgTyvXr3CvXv34OnpKfI5EkLI56IAxXdKV1cXoaGhMDU1hbu7O2bMmIHQ0FCxysjJyYGMjAyaNWsmsF9TUxM5OTmN2FpCCCHkx9QYNxT4JCQksGHDBty9exd79uzB+fPn4efnx6anpqbC0dERbdq0wdWrV3Hp0iW4urqisrISABAQEIDVq1cjMDAQ9+7dQ3R0NDQ1NcVux4cPH+Dk5AQVFRWkpKTgwIEDOHfuHLy9vQXyxcfHIyMjAxcuXEBMTAwOHjyIoKAgkevZs2cP5OXlce3aNaxduxZLly7F2bNnAVQHLwYOHIi8vDwkJibi7NmzePjw4WcNR92zZw9kZGRw+fJlbN26FXFxcQgNDcW2bdvw4MEDHD58GBYWFmz+JUuWwMDAQKw68vPzweFwav3mWr16NdTU1NChQwf89ttvqKioqLecLl26YP/+/cjLy0NVVRViY2NRUlIiEHT51NGjR5Gbm4sJEybUWeaOHTtgYmKC7t27i3VOhBDyOWiIx3fK1taWjYQDgJ2dHYKDg9kfIYQQQghpevwbChwOB6ampkhPT0doaKhAt35RfTp008DAAMuXL8fUqVOxefNmAMDatWvRqVMndhsA2rZtCwAoLCxEWFgYwsPDMW7cOACAkZERunXrJnY7oqOjUVJSgsjISPaOf3h4OFxdXbFmzRo26CEjI4OIiAjweDy0bdsWS5cuxbx587Bs2TJISDR8D83S0hKLFy8GABgbGyM8PBzx8fHo06cP4uPjkZ6ejkePHkFXVxcAEBkZibZt2yIlJUWs4QrGxsZYu3Ytu33ixAloaWmhd+/ekJaWhp6eHmxsbNh0dXV1GBkZiVx+SUkJ/P39MWrUKCgpKbH7Z86ciZ9++gmqqqq4cuUKAgIC8PLlS4SEhNRZ1h9//IERI0ZATU0NUlJS4PF4OHToEFq3bi00/86dO+Hk5ISWLVvW2baoqCjMnz9f5PMhhJAvQT0oSJ20tLRQVlaG9+/fC+x/9erVDzPWlBBCCPmahN1QePDgwWfdUDh37hwcHR3RokULKCoqYuzYscjNzcXHjx8B/F8PCmEyMjJQWlpaZ7o4MjIy0L59e4HhCF27dkVVVRUyMzPZfe3btxeYtNvOzg5FRUV4+vSpSPVYWloKbGtra+P169dsG3R1ddngBAC0adMGzZo1Q0ZGhljn07FjR4HtYcOGobi4GIaGhpg0aRIOHTok0LPB29sb8fHxIpVdXl6O4cOHg2EYbNmyRSDN19cXDg4OsLS0xNSpUxEcHIyNGzeitLS0zvICAwPx/v17nDt3Dn///Td8fX0xfPhwpKen18r77Nkz/PXXX/UO3Th06BAKCwvZoBUhhHxtFKD4Tl27dk1gOzk5GcbGxpCUlBS5jI4dO0JaWlrgn2xmZiays7NhZ2fXaG0lhBBCyJd5/PgxXFxcYGlpibi4ONy4cQObNm0CAHZeBy6XW+fx9aV9q6SlpQW2ORwOqqqqRD5eQkJCYL4PoDpgUFPNeR90dXWRmZmJzZs3g8vlwsvLC/b29kKPrQ8/OPHkyROcPXtWoPeEMJ07d0ZFRQUeP34sND0rKwvh4eGIiIiAo6Mj2rdvj8WLF6NTp07se+FTu3btgpqaGtzc3Oqsc8eOHXBxcfmsoT6EEPI5KEDxncrOzoavry8yMzMRExODjRs3YtasWWKVoaysDE9PT/j6+iIhIQE3btzAhAkTYGdnx67gAQD//vsvUlNTkZOTg+LiYqSmpiI1NVWsia4IIYSQH1Fj3FAAqie2rqqqQnBwMGxtbWFiYlJr2UpLS8s67+wbGxuDy+WKfOe/Pubm5rh9+zY+fPjA7rt8+TIkJCRgamrK7rt9+zaKi4vZ7eTkZCgoKAj0eviSNjx9+lSgN8a9e/fw/v17tGnTBkD1Cik1V7RITU0VqXwulwtXV1ds2LABFy5cwNWrV4X2UqgLPzjx4MEDnDt3Dmpqag0ek5qaCgkJCTRv3lxoOr+nTM3hMZKSkrUCNwzDYNeuXfDw8KgV6OF79OgREhISaHJMQsj/FM1B8Z3y8PBAcXExbGxsICkpiVmzZn3WOuqhoaGQkJDAkCFDUFpaCicnJ4GxqwDwyy+/IDExkd3u0KEDgOp/bOJOEkUIIYT8SPg3FKZMmYKbN29i48aNCA4OFruc1q1bo7y8HBs3boSrqys7oeOnAgICYGFhAS8vL0ydOhUyMjJISEjAsGHDoK6uDn9/f/j5+UFGRgZdu3bFmzdvcPfuXbEvUN3d3bF48WKMGzcOS5YswZs3bzBjxgyMHTtW4E58WVkZPD09sXDhQjx+/BiLFy+Gt7e3SPNPNKR3796wsLCAu7s71q9fj4qKCnh5eaFHjx7scpq9evXCb7/9hsjISNjZ2WHfvn24c+cO+zumLrt370ZlZSU6d+4MHo+Hffv2gcvlQl9fH0D1fBuHDh2qM9hTXl6OoUOH4ubNmzh+/DgqKyvZycdVVVUhIyODq1ev4tq1a+jZsycUFRVx9epV+Pj4YMyYMVBRURFarpmZGVq3bo0pU6Zg3bp1UFNTw+HDh3H27FkcP35cIO/58+fx6NEj/PLLL3WeZ0REBLS1tdG/f/96nw9CCGlMFKD4TklLS2P9+vW1xjMCqLNroDBycnLYtGmT0K6BfBcuXPiMFhJCCCGksW4otG/fHiEhIVizZg0CAgJgb2+PVatWwcPDg81jYmKCM2fO4Ndff4WNjQ24XC46d+6MUaNGAaiev0BKSgqLFi3CixcvoK2tjalTp4rdFh6Ph7/++guzZs2CtbU1eDwehgwZUmtyR0dHRxgbG8Pe3h6lpaUYNWpUraVCPxeHw8GRI0cwY8YM2NvbQ0JCAv369cPGjRvZPE5OTggMDISfnx9KSkowceJEeHh4NNgTolmzZli9ejV8fX1RWVkJCwsLHDt2jO0F8fbtW2RlZdV5/PPnz3H06FEAgJWVlUBaQkICHBwcICsri9jYWCxZsgSlpaVo1aoVfHx84OvrW+s8d+3ahfHjx0NaWhonT57E/Pnz4erqiqKiIrRu3Rp79uyBs7OzwHE7d+5Ely5dYGZmJrSNVVVV2L17N8aPHy92bx5CCPkSHKbm4Dvyn+fg4AArKyuR103/1hUUFEBZWRlGo9ZBUua/N0aWEELI9yVzt1ejlPO9/L8uLS2FnJwczp49i969ezd1c34Yjx49gomJCe7duwdjY+Ombg4hhNSLf02Xn59f75w7NAfFDywqKgoKCgpCH/xlxwghhBBC6lJQUICYmBhISEjUeTeefB0nT57E5MmTKThBCPmu0BCP75CoQy7c3NzQuXNnoWl1TZhECCGEkP+9qKgoTJkyRWiavr4+7t69+9XqXrlyJVauXCk0zdraGvfu3cOaNWvQsmXLRqkvOzubnchSmHv37kFPT69R6vovmz59elM3gRBCGh0N8SDflNLS0lrrexcUFEBXV5eGeBBCCPkmNNYQD3EUFhbi1atXQtOkpaXZCRq/hry8POTl5QlN43K5aNGiRaPWV99SmgBgYGAAKSm6x0YIIf8log7xoG938k1ZtWoVgoKCmroZhBBCyDdFUVERioqKTVK3qqoqVFVV/2f1SUlJoXXr1v+z+gghhHw7aA4K8k0JCAhAfn6+wOPTNcwJIYQQQgghhHyfKEBBvimysrJQUlKq9SCEEEJ+RAYGBv/5VT6+NRwOB4cPH27qZhBCCBGCAhRNpLy8HNu2bcOcOXOwZs2apm4OIYQQQr5BKSkpmDx5clM3g3xDVqxYgS5duoDH46FZs2ZC86SkpMDR0RHNmjWDiooKnJyccPv27QbLvnr1Knr16gV5eXkoKSnB3t4excXFAIDHjx/D09MTrVq1ApfLhZGRERYvXoyysrJ6yzQwMACHw0FsbGyttLZt24LD4WD37t0Nto0Q8mOgAIUY9u7di2vXrgEAgoKC8Pbt288u6+bNm3j16hVWr14Nf3//Wun//PMP5syZU2v/8ePHsXXr1s+u92soLCzErl278Ouvv8LX1xcrV65EWlpaUzeLEEII+c/T0NAAj8dr6mY0uoYuar9H5eXljVJOWVkZhg0bhmnTpglNLyoqQr9+/aCnp4dr167h0qVLUFRUhJOTU71tuHr1Kvr164e+ffvi+vXrSElJgbe3NyQkqi8X7t+/j6qqKmzbtg13795FaGgotm7dil9//bXBNuvq6mLXrl0C+5KTk5GTkwN5eXkxzp4Q8r2jAIUYnjx5An19fRQXF+PDhw9QV1f/7LJyc3PRvHnzb2I5T4ZhUFVV9dnHl5aWomXLlpg3bx7WrVsHFxcXRERE4OXLl43YSkIIIeT74uDgAG9vb3h7e0NZWRnq6uoIDAzEpwusiTPEIyQkBBYWFpCXl4euri68vLxQVFQkkOfy5ctwcHAAj8dj76y/e/cOAFBVVYW1a9eidevWkJWVhZ6eHlasWNFgvV26dKl1s+XNmzeQlpZGUlISex7Lli2Dh4cHlJSU2F4h/v7+MDExAY/Hg6GhIQIDAwUuopcsWQIrKytERERAT08PCgoK8PLyQmVlJdauXQstLS00b95cpHZ+6u3btxg8eDB4PB6MjY1x9OhRgfTExETY2NhAVlYW2tramD9/PioqKth0Ya+LlZUVlixZwm5zOBxs2bIFbm5ukJeXx4oVK/Du3Tu4u7tDQ0MDXC4XxsbGtS7cGxIUFAQfHx9YWFgITb9//z7y8vKwdOlSmJqaom3btli8eDFevXqFJ0+e1Fmuj48PZs6cifnz56Nt27YwNTXF8OHDISsrCwDo168fdu3ahb59+8LQ0BBubm6YO3cuDh482GCb3d3dkZiYKDCvWEREBNzd3WlFFkKIAPpGEFFpaSnev38PTU1NZGZmirT+9rVr13D69GkUFBRAR0cHw4YNg56eHuLi4nDhwgUwDAMfHx84OjrCxcVF7DaVl5cjNjYWaWlpqKyshIqKCsaOHQsDAwMwDIMLFy4gKSkJBQUFaNmyJUaOHAltbW0AwMKFC9GtWzekpaXh+fPn8PPzw/Pnz3HixAkUFBRATk4O3bt3h7Ozc4PtUFdXR58+fdhtS0tLaGpq4tGjR2x9hBBCCKltz5498PT0xPXr1/H3339j8uTJ0NPTw6RJk8QuS0JCAhs2bECrVq3w8OFDeHl5wc/PD5s3bwYApKamwtHRERMnTkRYWBikpKSQkJCAyspKANUTVW/fvh2hoaHo1q0bXr58ifv37zdYr7u7O9auXYvVq1eDw+EAAPbv3w8dHR10796dzbdu3TosWrQIixcvZvcpKipi9+7d0NHRQXp6OiZNmgRFRUX4+fmxebKysnDq1CmcPn0aWVlZGDp0KB4+fAgTExMkJibiypUrmDhxInr37o3OnTuL9FwFBQVh7dq1+O2337Bx40a4u7vjyZMnUFVVxfPnz+Hs7Izx48cjMjIS9+/fx6RJkyAnJycQgBDFkiVLsHr1aqxfvx5SUlIIDAzEvXv3cOrUKairq+Pff/9lh1AA1UErAwODLxryYGpqCjU1NezcuRO//vorKisrsXPnTpibm8PAwEDoMa9fv8a1a9fg7u6OLl26ICsrC2ZmZlixYgW6detWZ135+fkirfCiqakJJycn7NmzBwsXLsTHjx+xf/9+JCYmIjIy8nNPlRDyHaIARQNu3bqFffv2oaqqCuXl5Zg7dy4bQZ8zZw569+6N/v371zruwYMHiI2NhZeXFwwNDZGYmIjw8HAEBQVhyJAhkJWVxbNnzzB16tTPbtu1a9fw7NkzBAUFgcvl4vXr12yPjKSkJFy5cgXTpk2DmpoakpKSsHXrVgQGBrKR6uTkZEybNg0aGhooLS3FqlWrMGvWLBgbG+Pjx494/fo1W9fy5cvh5OQEa2vrBttVWFiInJycRl8XnRBCCPne6OrqIjQ0FBwOB6ampkhPT0doaOhnBShmz57N/m1gYIDly5dj6tSpbIBi7dq16NSpE7sNVM8BAFT/7w4LC0N4eDjGjRsHADAyMqr34pRv+PDhmD17Ni5dusQGJKKjozFq1Cg2YAEAvXr1qjV8deHChQJtnjt3LmJjYwUCFFVVVYiIiICioiLatGmDnj17IjMzEydPnoSEhARMTU2xZs0aJCQkiBygGD9+PEaNGgUAWLlyJTZs2IDr16+jX79+2Lx5M3R1dREeHg4OhwMzMzO8ePEC/v7+WLRoETvkQRSjR4/GhAkT2O3s7Gx06NABnTp1Ys/5U3p6el98c0dRUREXLlzAoEGDsGzZMgCAsbEx/vrrrzp7Kzx8+BBAdUBl3bp1sLKyQmRkJBwdHXHnzh0YGxvXOubff//Fxo0bsW7dOpHaNXHiRMyZMwcLFizAn3/+CSMjI1hZWX3eSRJCvls0xKMBHTp0QHBwMHr16oUBAwYgODgYhoaGmD59OoKDg4UGJwDg+vXrsLGxgbGxMSQlJdGrVy/weDzcuXOn0domKSmJ0tJS5OTkgGEYaGpqslHspKQkuLi4oHnz5pCUlETPnj1RVlaGx48fs8fb29tDU1MTEhISkJCQgKSkJHJyclBcXAwejyfwT3PhwoUiBScqKiqwc+dO/PTTT9DX12+0cyWEEEK+R7a2tgIX8XZ2dnjw4AHbq0Ec586dg6OjI1q0aAFFRUWMHTsWubm5+PjxI4D/60EhTEZGBkpLS+tMr4+Ghgb69u2LqKgoAMCjR49w9epVuLu7C+TjX5R/av/+/ejatSu0tLSgoKCAhQsXIjs7WyCPgYEBFBUV2W1NTU20adNGIFCgqakpcGOlIZaWluzf/Akh+cdnZGTAzs5O4HXp2rUrioqK8OzZM5HrAGqf87Rp0xAbGwsrKyv4+fnhypUrAumRkZFYtWqVWHXUVFxcDE9PT3Tt2hXJycm4fPky2rVrhwEDBgj01vgUf6jvlClTMGHCBHTo0AGhoaEwNTVFRERErfzPnz9Hv379MGzYMJGDaQMGDEBRURGSkpIQERGBiRMnfv5JEkK+W9SDQkQPHjyAm5sbKisr8fTpU7Rq1are/O/evYOJiYnAPnV1dXacZ0MkJSWF/jiprKyEpKQkAMDGxgb5+fmIiYnBu3fvYGlpiZ9//hkKCgrIzc3F7t27Bf55V1RUCNSvoqLC/i0rK4tp06YhPj4ehw4dQosWLeDi4gJTU1OR2ssvf/v27ZCRkan1o4QQQgghX8/jx4/h4uKCadOmYcWKFVBVVcWlS5fg6emJsrIy8Hg8cLncOo+vL00U7u7umDlzJjZu3Ijo6GhYWFjUmiOh5mSI/CBGUFAQnJycoKysjNjYWAQHBwvkqzlfF4fDEbpPnPm0vvR4CQkJgblCAOGTYNY85/79++PJkyc4efIkzp49C0dHR0yfPl3kXgiiiI6OxuPHj3H16lX2d2B0dDRUVFRw5MgRjBw5stYx/F4bbdq0Edhvbm5eK2D04sUL9OzZE126dMHvv/8ucrukpKQwduxYLF68GNeuXcOhQ4fEPTVCyA+AAhT1KC8vx/z58wEAJSUl2LJlCzvUY/78+dDR0RG60gZQffGfm5srsC83N1cgKFAfVVVVlJWVobCwUOCuwdu3b6GmpgagOojRr18/9OvXDwUFBYiIiMCJEycwYsQIqKioYOjQoWzXTWE+vTMAAGZmZjAzM0NlZSUSExOxbds2rFu3TqSujBUVFdixYwcqKysxZcoUmvCIEEIIEQF/dTC+5ORktvelOG7cuIGqqioEBwez/7f/+OMPgTyWlpaIj49HUFBQreONjY3B5XIRHx+PX375RcyzAAYOHIjJkyfj9OnTiI6OhoeHR4PHXLlyBfr6+liwYAG7r75JHP9XzM3NERcXB4Zh2N9Kly9fhqKiIlq2bAmgutfIp5OBFxQU4NGjRyKVr6GhgXHjxmHcuHHo3r07O8l4Y/n48SMkJCQEfufxt+sKwhgYGEBHRweZmZkC+//55x+B3sLPnz9Hz5490bFjR+zatUus4S5A9TCPdevWsb9VCSGkJhriUQ9paWkEBwfD09MTFhYW7FAPV1dXBAcH1xmcAABra2ukpKQgKysLlZWVSEhIwIcPH+oNGHxKRUUFxsbGiIuLw8ePH1FZWYk7d+4gLS2N7S6YmZmJp0+forKyEjIyMpCWlmZ/0Njb2+P48eN49eoVgOrufrdv30ZJSYnQ+goKCpCamoqSkhJISEiAy+WK/OOosrISO3bsQGlpKaZMmfJNrExCCCGE/BdkZ2fD19cXmZmZiImJwcaNGzFr1iyxy2ndujXKy8uxceNGPHz4EHv37q21LHlAQABSUlLg5eWFtLQ03L9/H1u2bMHbt28hJycHf39/+Pn5ITIyEllZWUhOTsbOnTtFql9eXh6DBg1CYGAgMjIy2Pkd6mNsbIzs7GzExsYiKysLGzZs+Cbuqnt5eeHp06eYMWMG7t+/jyNHjmDx4sXw9fVlL8h79eqFvXv34uLFi0hPT8e4ceNE+t20aNEiHDlyBP/++y/u3r2L48ePw9zcnE338PBAQEBAvWVkZ2cjNTUV2dnZqKysRGpqKlJTU9kVW/r06YN3795h+vTpyMjIwN27dzFhwgRISUmhZ8+eAKoDDWZmZrh+/TqA6ptW8+bNw4YNG/Dnn3/i33//RWBgIO7fvw9PT0/2GAcHB+jp6WHdunV48+YNcnJykJOTI/Jza25ujrdv34q9cgkh5MdBt7lFkJqaynZTTEtLY7+o62NiYoLhw4dj3759yM/Ph46ODqZPny7WWuYTJ07EoUOHsGzZMpSVlUFDQwOenp7sCiIFBQWIjY3F+/fvIS0tDTMzM3bVDQcHB0hISOD333/Hu3fvICsrCyMjozqHbDAMg4SEBOzduxcMw6B58+b45Zdf2H/Ey5Ytg5OTE2xsbGodm5WVhbS0NEhLSwtMauXk5IR+/fqJfL6EEELIj8bDwwPFxcWwsbGBpKQkZs2axS7BKY727dsjJCQEa9asQUBAAOzt7bFq1SqBngwmJiY4c+YMfv31V9jY2IDL5aJz585sMIE/kfaiRYvw4sULaGtrizWZt7u7O5ydnWFvby/Samdubm7w8fGBt7c3SktLMWDAAAQGBoq9UkZja9GiBU6ePIl58+ahffv2UFVVhaenp8CEngEBAXj06BFcXFygrKyMZcuWidSDQkZGBgEBAXj8+DG4XC66d++O2NhYNj07O7vBXgmLFi3Cnj172O0OHToAABISEuDg4AAzMzMcO3YMQUFBsLOzg4SEBDp06IDTp0+zQznKy8uRmZnJzk8CVE+yWlJSAh8fH+Tl5aF9+/Y4e/YsjIyMAABnz57Fv//+i3///ZftScJXc7hLffg9gQkhRBgOI843CiFNoKCgAMrKyjAatQ6SMl82RpYQQgj5Upm7vRqlHAcHB1hZWWH9+vWNUh4hhBDyreJf0+Xn50NJSanOfDTEgxBCCCGEEEIIIU2OAhSEEEIIId+4qKgoKCgoCH2IOr/V51q5cmWddde13HpTacrniRBCyJejIR7km0dDPAghhHxLGmuIhzgKCwvZia9rkpaWhr6+/lerOy8vD3l5eULTuFwuWrRo8dXqFldTPk+EEELqJuoQD5okkxBCCCHkG6eoqCiw7Pj/kqqqKlRVVZukbnE15fNECCHky9EQD0IIIYQQQgghhDQ56kFB/jNubp1Ub3cgQgghhBBCCCH/XdSDghBCCCGEEEIIIU2OAhSEEEIIIYQQQghpchSgIIQQQgghhBBCSJOjAAUhhBBCCCGEEEKaHAUoCCGEEEIIIYQQ0uQoQEEIIYQQQgghhJAmRwEKQgghhBBCCCGENDkKUBBCCCGEEEIIIaTJUYCCEEIIIYQQQgghTU6qqRtAiKh6Bx6AlCyvqZtBCCGEfHVX1o5q6iYQQggh/3PUg4IQQgghhBBCCCFNjgIUPyADAwOsX7++qZtBCCGEEEIIIYSwKEDxA0pJScHkyZNFyltSUoLp06dDTU0NCgoKGDJkCF69eiWQJz4+Hl26dIGioiK0tLTg7++PioqKr9F0QgghhHwF/5WbFxwOB4cPHxY5//jx4zFo0KDPrs/BwQGzZ8/+7OMJIYSIhwIUPyANDQ3weKLN5eDj44Njx47hwIEDSExMxIsXL/Dzzz+z6bdv34azszP69euHW7duYf/+/Th69Cjmz5//tZpPCCGEkEYmzs2LpvTy5Uv079+/qZvxnzF+/HhwOByBR79+/QTyuLm5QU9PD3JyctDW1sbYsWPx4sWLest1cHCoVe7UqVMF8ohyA4thGKxbtw4mJiaQlZVFixYtsGLFisY5eULIfxIFKL5DDg4O8Pb2hre3N5SVlaGuro7AwEAwDANA9Lsk+fn52LlzJ0JCQtCrVy907NgRu3btwpUrV5CcnAwA2L9/PywtLbFo0SK0bt0aPXr0wNq1a7Fp0yYUFhZ+zdMkhBBCSCMR5+ZFU9LS0oKsrGxTN+OrKysra7Sy+vXrh5cvX7KPmJgYgfSePXvijz/+QGZmJuLi4pCVlYWhQ4c2WO6kSZMEyl27di2bJuoNrFmzZmHHjh1Yt24d7t+/j6NHj8LGxqZxTpwQ8p9EAYrv1J49eyAlJYXr168jLCwMISEh2LFjh1hl3LhxA+Xl5ejduze7z8zMDHp6erh69SoAoLS0FHJycgLHcblclJSU4MaNG19+IoQQQgj5Ig3duADEG+IREhICCwsLyMvLQ1dXF15eXigqKhLIc/nyZTg4OIDH40FFRQVOTk549+4dAKCqqgpr165F69atISsrCz09PZHvmtcc4pGeno5evXqBy+VCTU0NkydPrtUWAAgKCoKGhgaUlJQwdepUsQIAVVVV8PPzg6qqKrS0tLBkyRKB9OzsbAwcOBAKCgpQUlLC8OHDBYbDChtmMnv2bDg4OLDb/Ndo9uzZUFdXh5OTExiGwZIlS6CnpwdZWVno6Ohg5syZIrebT1ZWFlpaWuxDRUVFIN3Hxwe2trbQ19dHly5dMH/+fCQnJ6O8vLzecnk8nkC5SkpKbJooN7AyMjKwZcsWHDlyBG5ubmjVqhU6duyIPn36iH2OhJDvBwUovlO6uroIDQ2Fqakp3N3dMWPGDISGhopVRk5ODmRkZNCsWTOB/ZqamsjJyQEAODk54cqVK4iJiUFlZSWeP3+OpUuXAqjuhkkIIYSQptcYNy74JCQksGHDBty9exd79uzB+fPn4efnx6anpqbC0dERbdq0wdWrV3Hp0iW4urqisrISABAQEIDVq1cjMDAQ9+7dQ3R0NDQ1NcVux4cPH+Dk5AQVFRWkpKTgwIEDOHfuHLy9vQXyxcfHIyMjAxcuXEBMTAwOHjyIoKAgkevZs2cP5OXlce3aNaxduxZLly7F2bNnAVQHLwYOHIi8vDwkJibi7NmzePjwIUaMGCH2+ezZswcyMjK4fPkytm7diri4OISGhmLbtm148OABDh8+DAsLCzb/kiVLYGBg0GC5Fy5cQPPmzWFqaopp06YhNze3zrx5eXmIiopCly5dIC0tXW+5UVFRUFdXR7t27RAQEICPHz+yaaLcwDp27BgMDQ1x/PhxtGrVCgYGBvjll1+Ql5fX4DkRQr5fUk3dAPJ12NragsPhsNt2dnYIDg5mfxw0lr59++K3337D1KlTMXbsWMjKyiIwMBAXL16EhATFvwghhJBvAf/GBYfDgampKdLT0xEaGopJkyaJXdank0YaGBhg+fLlmDp1KjZv3gwAWLt2LTp16sRuA0Dbtm0BAIWFhQgLC0N4eDjGjRsHADAyMkK3bt3Ebkd0dDRKSkoQGRkJeXl5AEB4eDhcXV2xZs0aNughIyODiIgI8Hg8tG3bFkuXLsW8efOwbNkykX6rWFpaYvHixQAAY2NjhIeHIz4+Hn369EF8fDzS09Px6NEj6OrqAgAiIyPRtm1bpKSkwNraWuTzMTY2FhgmceLECWhpaaF3796QlpaGnp6ewPAHdXV1GBkZ1Vtmv3798PPPP6NVq1bIysrCr7/+iv79++Pq1auQlJRk8/n7+yM8PBwfP36Era0tjh8/Xm+5o0ePhr6+PnR0dJCWlgZ/f39kZmbi4MGDAKpvYK1fvx4xMTEYPnw4cnJyat3AevjwIZ48eYIDBw4gMjISlZWV8PHxwdChQ3H+/HmRnzdCyPeFriBJnbS0tFBWVob3798L7H/16hW0tLTYbV9fX7x//x7Z2dl4+/YtBg4cCAAwNDT8XzaXEEIIIXUQduPiwYMHn3Xj4ty5c3B0dESLFi2gqKiIsWPHIjc3l72Dzu9BIUxGRgZKS0vrTBdHRkYG2rdvzwYnAKBr166oqqpCZmYmu699+/YC82vY2dmhqKgIT58+FakeS0tLgW1tbW28fv2abYOuri4bnACANm3aoFmzZsjIyBDrfDp27CiwPWzYMBQXF8PQ0BCTJk3CoUOHBCaZ9Pb2Rnx8fL1ljhw5Em5ubrCwsMCgQYNw/PhxpKSk4MKFCwL55s2bh1u3buHMmTOQlJSEh4eHwBCgmiZPngwnJydYWFjA3d0dkZGROHToELKysgAI3sCSlZWFiYkJnJ2dAYANClVVVaG0tBSRkZHo3r07HBwcsHPnTiQkJAi8foSQHwsFKL5T165dE9hOTk6GsbGxQLS8IR07doS0tLTAP7/MzExkZ2fDzs5OIC+Hw4GOjg64XC5iYmKgq6uLn3766ctOghBCCCHflMePH8PFxQWWlpaIi4vDjRs3sGnTJgD/N7Ejl8ut8/j60r5VNYc6cDgcVFVViXy8hIRErYt9YfM7fBpoAap7vWRmZmLz5s3gcrnw8vKCvb19g3ND1MfQ0BDq6ur4999/Bfarq6vDxMQEffr0QWxsLE6ePMlOiC6Kzp07A4BAuQ3dwNLW1oaUlBRMTEzYY8zNzQFUz+tBCPkxUYDiO5WdnQ1fX19kZmYiJiYGGzduxKxZs8QqQ1lZGZ6envD19UVCQgJu3LiBCRMmwM7ODra2tmy+3377Denp6bh79y6WLVuG1atXY8OGDWIFQwghhBDy9TTGjQugegLtqqoqBAcHw9bWFiYmJrWWpLS0tKzzzr6xsTG4XG6Dd/5FYW5ujtu3b+PDhw/svsuXL0NCQgKmpqbsvtu3b6O4uJjdTk5OhoKCgkCvhy9pw9OnTwV6Y9y7dw/v379HmzZtAFSvkFJzXq7U1FSRyudyuXB1dcWGDRtw4cIFXL16Fenp6Z/d3mfPniE3Nxfa2tp15uEHX0pLS0Uul38+Ncut7wZW165dUVFRwfa6AIB//vkHAKCvry9y3YSQ7wsFKL5THh4eKC4uho2NDaZPn45Zs2Z91vrmoaGhcHFxwZAhQ2Bvbw8tLS12fCHfqVOn0L17d3Tq1AknTpzAkSNHas1WTQghhJCm0xg3LgCgdevWKC8vx8aNG/Hw4UPs3bsXW7duFcgTEBCAlJQUeHl5IS0tDffv38eWLVvw9u1byMnJwd/fH35+foiMjERWVhaSk5Oxc+dOsdvi7u4OOTk5jBs3Dnfu3EFCQgJmzJiBsWPHCky6WVZWBk9PT9y7dw8nT57E4sWL4e3t3ShzZfXu3Zsd5nDz5k1cv34dHh4e6NGjBzp16gQA6NWrF/7++29ERkbiwYMHWLx4Me7cudNg2bt378bOnTtx584dPHz4EPv27QOXy2Uv3sPDw+sdKlNUVIR58+YhOTkZjx8/Rnx8PAYOHIjWrVvDyckJQHXgKjw8HKmpqXjy5AnOnz+PUaNGwcjIqFZvWb6srCwsW7YMN27cwOPHj3H06FF4eHjA3t5eYDhMQzewevfujZ9++gkTJ07ErVu3cOPGDUyZMgV9+vQR6FVBCPmxUIDiOyUtLY0tW7YgPz8feXl5WLFiBTv29PHjxwITXNVHTk4OmzZtQl5eHj58+ICDBw8KzD8BAOfPn8f79+9RXFyM5ORk9O/fv7FPhxBCCCFfoLFuXLRv3x4hISFYs2YN2rVrh6ioKKxatUogj4mJCc6cOYPbt2/DxsYGdnZ2OHLkCKSkqudmDwwMxJw5c7Bo0SKYm5tjxIgR7JwO4uDxePjrr7+Ql5cHa2trDB06FI6OjggPDxfI5+joCGNjY9jb22PEiBFwc3OrtVTo5+JwODhy5AhUVFRgb2+P3r17w9DQEPv372fzODk5ITAwEH5+frC2tkZhYSE8PDwaLLtZs2bYvn07unbtCktLS5w7dw7Hjh2DmpoaAODt27cCvQ9qkpSURFpaGtzc3GBiYgJPT0907NgRFy9ehKysLIDq5/DgwYNwdHSEqakpPD09YWlpicTERDYP/zx3794NoHrS0XPnzqFv374wMzPDnDlzMGTIEBw7dkyg/oZuYElISODYsWNQV1eHvb09BgwYAHNzc8TGxjb43BBCvl8cpr4ZcMh/koODA6ysrERez/xbV1BQAGVlZVjP3AEpWV7DBxBCCCH/cVfWjmq0sr6X3wX8pSvPnj2L3r17N3VzfhiPHj2CiYkJ7t27B2Nj46ZuDiHkP4p/TZefnw8lJaU681EPih9YVFQUFBQUhD74y4ERQgghhDS1goICxMTEQEJCAmZmZk3dnB/KyZMnMXnyZApOEEL+J6SaugGk8dVcOqoubm5u7KzLNdWcsZoQQggh37+oqChMmTJFaJq+vj7u3r371epeuXIlVq5cKTTN2toa9+7dw5o1a9CyZctGqS87O5udyFKYe/fuQU9Pr1Hq+i+bPn16UzeBEPIDoSEe5JtSWlpaa9bogoIC6Orq0hAPQgghP4zGHOIhjsLCQrx69UpomrS09FddXSEvLw95eXlC07hcLlq0aNGo9VVUVODx48d1phsYGLDzZhBCCPkyog7xoG9d8k1ZtWoVgoKCmroZhBBCyA9JUVERioqKTVK3qqoqVFVV/2f1SUlJoXXr1v+z+gghhDSM5qAg35SAgADk5+cLPD5dW5wQQgghjc/AwOA/P4nmt4bD4eDw4cNN3QxCCPlPoQAF+abIyspCSUmp1oMQQgghX09KSspnLTtKvl8rVqxAly5dwOPx0KxZszrz7d69G5aWlpCTk0Pz5s0bnLPCwcEBHA5H4DF16lSheXNzc9GyZUtwOBy8f/++3nL5ZSUnJwvsLy0thZqaGjgcjsjztBFCmg4N8Wgi5eXliIiIwD///IPmzZvD39+/qZtECCGEkB+UhoZGUzfhqygrK4OMjExTN+N/qry8vFEmOy8rK8OwYcNgZ2eHnTt3Cs0TEhKC4OBg/Pbbb+jcuTM+fPhQ77wefJMmTcLSpUvZbR5P+Bxjnp6esLS0xPPnz0Vqs66uLnbt2gVbW1t236FDh6CgoFDn/CaEkG8L9aAQw969e3Ht2jUAQFBQEN6+ffvZZd28eROvXr3C6tWrhQYn/vnnH8yZM6fW/uPHj2Pr1q2fXe/Xsn37dsyfPx++vr4IDAzEqVOnmrpJhBBCCEH1HWtvb294e3tDWVkZ6urqCAwMxKfzpIszxCMkJAQWFhaQl5eHrq4uvLy8UFRUJJDn8uXLcHBwAI/Hg4qKCpycnPDu3TsAQFVVFdauXYvWrVtDVlYWenp6WLFiRYP1dunSpdZvpjdv3kBaWhpJSUnseSxbtgweHh5QUlJie4X4+/vDxMQEPB4PhoaGCAwMRHl5OVvOkiVLYGVlhYiICOjp6UFBQQFeXl6orKzE2rVroaWlhebNm4vUzk+9ffsWgwcPBo/Hg7GxMY4ePSqQnpiYCBsbG8jKykJbWxvz589HRUUFmy7sdbGyssKSJUvYbQ6Hgy1btsDNzQ3y8vJYsWIF3r17B3d3d2hoaIDL5cLY2Bi7du0Sq+1BQUHw8fGBhYWF0PR3795h4cKFiIyMxOjRo2FkZARLS0u4ubk1WDaPx4OWlhb7ENZbdsuWLXj//j3mzp0rcpvHjRuH2NhYFBcXs/siIiIwbtw4kcsghDQtClCI4cmTJ9DX10dxcTE+fPgAdXX1zy4rNzcXzZs3/yaW82QYBlVVVV9UhrOzM5YtW4aQkBD4+PggJSWFDeYQQgghpGnt2bMHUlJSuH79OsLCwhASEoIdO3Z8VlkSEhLYsGED7t69iz179uD8+fPw8/Nj01NTU+Ho6Ig2bdrg6tWruHTpElxdXVFZWQmger6p1atXIzAwEPfu3UN0dDQ0NTUbrNfd3R2xsbECgZX9+/dDR0cH3bt3Z/etW7cO7du3x61btxAYGAigevLP3bt34969ewgLC8P27dsRGhoqUH5WVhZOnTqF06dPIyYmBjt37sSAAQPw7NkzJCYmYs2aNVi4cKFYv2+CgoIwfPhwpKWlwdnZGe7u7uyd/OfPn8PZ2RnW1ta4ffs2tmzZgp07d2L58uUil8+3ZMkSDB48GOnp6Zg4cSL73J46dQoZGRnYsmWLwO9WBwcHjB8/Xux6PnX27FlUVVXh+fPnMDc3R8uWLTF8+HCR5g6LioqCuro62rVrh4CAAHz8+FEg/d69e1i6dCkiIyMhISH65UrHjh1hYGCAuLg4ANVLySYlJWHs2LHinRwhpMnQEA8RlZaW4v3799DU1ERmZqZI62Jfu3YNp0+fRkFBAXR0dDBs2DDo6ekhLi4OFy5cAMMw8PHxgaOjI1xcXMRuU3l5OWJjY5GWlobKykqoqKhg7NixMDAwAMMwuHDhApKSklBQUICWLVti5MiR0NbWBgAsXLgQ3bp1Q1paGp4/fw4/Pz88f/4cJ06cQEFBAeTk5NC9e3c4OzuL1JaaS39xOBy8efNG7HMihBBCSOPT1dVFaGgoOBwOTE1NkZ6ejtDQUEyaNEnssmbPns3+bWBggOXLl2Pq1KnYvHkzAGDt2rXo1KkTuw0Abdu2BVC9jGlYWBjCw8PZu9pGRkbo1q1bg/UOHz4cs2fPxqVLl9iARHR0NEaNGgUOh8Pm69WrV61eqAsXLhRo89y5cxEbGysQWKmqqkJERAQUFRXRpk0b9OzZE5mZmTh58iQkJCRgamqKNWvWICEhAZ07dxbpuRo/fjxGjapeMnblypXYsGEDrl+/jn79+mHz5s3Q1dVFeHg4OBwOzMzM8OLFC/j7+2PRokViXZiPHj0aEyZMYLezs7PRoUMHdOrUiT3nT+np6bG/CT/Xw4cPUVVVhZUrVyIsLAzKyspYuHAh+vTpg7S0tDqH1owePRr6+vrQ0dFBWloa/P39kZmZiYMHDwKo/s09atQo/Pbbb9DT08PDhw/FatfEiRMRERGBMWPGYPfu3XB2dv5uhzAR8j2iAEUDbt26hX379qGqqgrl5eWYO3cu2/Vuzpw56N27N/r371/ruAcPHiA2NhZeXl4wNDREYmIiwsPDERQUhCFDhkBWVhbPnj2rc1IgUVy7dg3Pnj1DUFAQuFwuXr9+zfbISEpKwpUrVzBt2jSoqakhKSkJW7duRWBgILumd3JyMqZNmwYNDQ2UlpZi1apVmDVrFoyNjfHx40e8fv2arWv58uVwcnKCtbV1ne2JiYlBcnIyysvLoaqqKjD+jxBCCCFNx9bWVuAi3s7ODsHBwaisrISkpKRYZZ07dw6rVq3C/fv3UVBQgIqKCpSUlODjx4/g8XhITU3FsGHDhB6bkZGB0tJSODo6in0OGhoa6Nu3L6KiotC9e3c8evQIV69exbZt2wTy8S/KP7V//35s2LABWVlZKCoqQkVFRa1hBQYGBgJLrGpqakJSUlIgUKCpqSnw+6ghlpaW7N/y8vJQUlJij8/IyICdnZ3A69K1a1cUFRXh2bNnIt0M46t5ztOmTcOQIUNw8+ZN9O3bF4MGDUKXLl3Y9MjISJHLrgv/t/GGDRvQt29fANW/BbW0tJCQkAAnJyehx306GauFhQW0tbXh6OiIrKwsGBkZISAgAObm5hgzZsxntWvMmDGYP38+Hj58iN27d2PDhg2fVQ4hpGnQEI8GdOjQAcHBwejVqxcGDBiA4OBgGBoaYvr06QgODhYanACA69evw8bGBsbGxpCUlESvXr3A4/Fw586dRmubpKQkSktLkZOTA4ZhoKmpya4fnpSUBBcXFzRv3hySkpLo2bMnysrKBCYusre3h6amJiQkJCAhIQFJSUnk5OSguLgYPB5PINq+cOHCeoMTADBq1CiEhobC398fnTt3rnPCI0IIIYT8Nz1+/BguLi6wtLREXFwcbty4gU2bNgGonlQRALhcbp3H15cmCnd3d/z5558oLy9HdHQ0LCwsas2RIC8vL7B99epVuLu7w9nZGcePH8etW7ewYMECtr18NYfdcjgcofvEGRb7pcdLSEgIDGkBIDB3Bl/Nc+7fvz+ePHkCHx8fvHjxAo6OjmLN5SAKfg+MNm3asPs0NDSgrq6O7Oxskcvh90b5999/AQDnz5/HgQMHICUlBSkpKTaYpa6ujsWLFzdYnpqaGlxcXODp6YmSkpI6f6sTQr5N1INCRA8ePICbmxsqKyvx9OlTtGrVqt787969g4mJicA+dXV1doKohkhKSrJjNT/16Z0OGxsb5OfnIyYmBu/evYOlpSV+/vlnKCgoIDc3F7t37xaI+ldUVAjUr6Kiwv4tKyuLadOmIT4+HocOHUKLFi3g4uICU1NTkdrLJyEhAX19ffzzzz84ePDgZ0e/CSGEENJ4as6bkJyczN5EEceNGzdQVVWF4OBg9jfGH3/8IZDH0tIS8fHxCAoKqnW8sbExuFwu4uPj8csvv4h5FsDAgQMxefJknD59GtHR0fDw8GjwmCtXrkBfXx8LFixg9z158kTsuhububk54uLiwDAM24vi8uXLUFRURMuWLQFUX/C/fPmSPaagoACPHj0SqXwNDQ2MGzcO48aNQ/fu3TFv3jysW7eu0drftWtXAEBmZibb3ry8PLx9+xb6+voil5Oamgrg/wIecXFxApNcpqSkYOLEibh48SKMjIxEKnPixIlwdnaGv7+/2O9xQkjTogBFPcrLyzF//nwAQElJCbZs2cJ2Z5s/fz50dHSErrQBVF/85+bmCuzLzc0VCArUR1VVFWVlZSgsLBTobvj27VuoqakBqA5i9OvXD/369UNBQQEiIiJw4sQJjBgxAioqKhg6dCg75lOYT7sUAoCZmRnMzMxQWVmJxMREbNu2DevWrRNrDCRfZWWlWF0gCSGEEPL1ZGdnw9fXF1OmTMHNmzexceNGBAcHi11O69atUV5ejo0bN8LV1RWXL1+utbpYQEAALCws4OXlhalTp0JGRgYJCQkYNmwY1NXV4e/vDz8/P8jIyKBr16548+YN7t69C09Pzwbrl5eXx6BBgxAYGIiMjAx2fof6GBsbIzs7G7GxsbC2tsaJEydw6NAhsc+9sXl5eWH9+vWYMWMGvL29kZmZicWLF8PX15f97dWrVy/s3r0brq6uaNasGRYtWiTSBfeiRYvQsWNHtG3bFqWlpTh+/DjMzc3ZdA8PD7Ro0QKrVq2qs4zs7Gzk5eUhOzsblZWVbCChdevWUFBQgImJCQYOHIhZs2bh999/h5KSEgICAmBmZoaePXsCqJ4I1NHREZGRkbCxsUFWVhaio6Ph7OwMNTU1pKWlwcfHB/b29uxwmJpBCP6qeebm5mjWrJlIz22/fv3w5s0boauDEEK+bTTEox7S0tIIDg6Gp6cnLCws2KEerq6uCA4OrjM4AQDW1tZISUlBVlYWKisrkZCQgA8fPtQbMPiUiooKjI2NERcXh48fP6KyshJ37txBWloaO84wMzMTT58+RWVlJWRkZCAtLc3+07K3t8fx48fx6tUrAEBxcTFu376NkpISofUVFBQgNTUVJSUlkJCQAJfLFTninJubi1u3bqGkpARVVVXIysrChQsXBLr8EUIIIaTpeHh4oLi4GDY2Npg+fTpmzZolMBeAqNq3b4+QkBCsWbMG7dq1Q1RUVK2LXBMTE5w5cwa3b9+GjY0N7OzscOTIEXYOrMDAQMyZMweLFi2Cubk5RowYIdZNDXd3d9y+fRvdu3cXaZ4GNzc3+Pj4wNvbG1ZWVrhy5Qq7ukdTatGiBU6ePInr16+jffv2mDp1Kjw9PQUm9AwICECPHj3g4uKCAQMGYNCgQSL1IpCRkUFAQAAsLS1hb28PSUlJxMbGsunZ2dkCPTOEWbRoETp06IDFixejqKgIHTp0QIcOHfD333+zeSIjI9G5c2cMGDAAPXr0gLS0NE6fPs0ObSkvL0dmZia7SoeMjAzOnTuHvn37wszMDHPmzMGQIUNw7NgxsZ67hnA4HKirq9c5USch5NvFYWoObCO1REdHQ19fH127dsWKFSvg6ekJLS2tBo9LTk7GX3/9hfz8fHYVD36Xt+PHjzc4SWZ+fj4OHTqEzMxMlJWVQUNDA87OzmyEOSUlBSdPnsT79+8hLS0NMzMzjBw5EjweDwzDICkpCUlJSXj37h1kZWVhZGSEMWPGQE5ODgsXLsTQoUNhZWXF1hUREYFnz56BYRg0b94cgwcPZod4LFu2DE5OTrCxsanVTv5wkhcvXoBhGCgrK8PGxgZOTk6f1fuipoKCAigrK8N65g5IydK8FoQQQr5/V9Y23DNAVA4ODrCyssL69esbrUxCCCFEHPxruvz8/Hp7N1GAgnzzKEBBCCHkR0MBCkIIId8TUQMUNMSDkP/H3p3H1Zj2Dxz/nPbTIqWUaLFEmMIgsjSRkZ15LDOmxz5IMraxNEQxlqKyL8+MbCPMPJgZy5ghS2MJD7Imu2zZydr++8Or++conEMmzPf9ep3Xy31f131d3/s0U+d872sRQgghBADLli3D3Ny8wJe201Rf18SJE1/Y97u2E0NRvk9CCPEhkxEU4p0nIyiEEEL80xTmCApd3L9/X1m/6nmGhoY67c6gq9u3b3P79u0Cy9RqNaVLl35rfeuqKN8nIYR4H2k7gkJ28RBCCCGEEABYWFho7B72d7K2tsba2rpI+tZVUb5PQgjxIZMpHkIIIYQQQgghhChykqAQQgghhBBCCCFEkZMpHuK9sXl8x5fOVxJCCCGEEEII8f6SERRCCCGEEEIIIYQocpKgEEIIIYQQQgghRJGTBIUQQgghhBBCCCGKnCQohBBCCCGEEEIIUeQkQSGEEEIIIYQQQogiJwkKIYQQQgghhBBCFDlJUAghhBBCCCGEEKLISYJCCCGEEEIIIYQQRc6gqAMQQltfzvwDQxPTog5DCCGE+EdYM7RlUYcghBDiH0ZGUAghhBBCCCGEEKLISYJCCCGEEEIIIYQQRU4SFP9ALi4uTJs2rajDEEIIIYQQQgghFJKg+Afat28fffr00arukydP6N+/PyVKlMDc3Jz27dtz7dq1AuveunWLMmXKoFKpuHv3biFGLIQQQogP3fvyAEWlUvHLL79oXb979+60a9futfvz8fFh0KBBr329EEK8TyRB8Q9ka2uLqal2i00OHjyYtWvX8vPPP7N9+3auXLnCv/71rwLr9urVCw8Pj8IMVQghhBD/ELo8QClKV69epXnz5kUdxntj9erVNG3alBIlSqBSqUhMTMxXx8fHB5VKpfEKCAh4abu5ubmMGTOGUqVKoVaradKkCadOnSqwbnp6OtWrV8/Xf3JyMo0aNcLOzg4TExPKlSvH6NGjyczMfJNbFkK8AUlQfIB8fHwICgoiKCgIS0tLbGxsCAkJITc3F9D+CcW9e/dYsGABUVFRNG7cmJo1a7Jw4UJ27dpFQkKCRt25c+dy9+5dvvnmm7dxS0IIIYT4wOnyAKUo2dvbY2xsXNRhvHUZGRmF0s7Dhw9p0KAB4eHhL63Xu3dvrl69qrwiIiJeWj8iIoIZM2Ywb9489uzZg5mZGX5+fjx58iRf3eHDh+Pg4JDvvKGhIV27duXPP/8kOTmZadOm8f333zN27FjdblIIUWgkQfGBWrx4MQYGBuzdu5fp06cTFRXFDz/8oFMb+/fvJzMzkyZNmijn3NzccHJyYvfu3cq548ePM27cOJYsWYKenvwnJYQQQghNr3p4ArpN8YiKisLd3R0zMzMcHR0JDAzkwYMHGnV27tyJj48PpqamWFlZ4efnx507dwDIyckhIiKCChUqYGxsjJOTExMmTNCq7+eneBw5coTGjRujVqspUaIEffr0yRcLQFhYGLa2thQrVoyAgACdEgA5OTkMHz4ca2tr7O3tCQ0N1ShPSUmhbdu2mJubU6xYMTp16qQxJbegaSaDBg3Cx8dHOc77GQ0aNAgbGxv8/PzIzc0lNDQUJycnjI2NcXBw4Ouvv9Y6boAuXbowZswYjc+TBTE1NcXe3l55FStW7IV1c3NzmTZtGqNHj6Zt27Z4eHiwZMkSrly5km/6ze+//86ff/7J1KlT87VTrlw5evToQbVq1XB2dqZNmzb4+/vz119/6XSPQojCI98mP1COjo5ER0dTqVIl/P39GTBgANHR0Tq1kZqaipGREcWLF9c4b2dnR2pqKvB0yFznzp2ZMmUKTk5OhRW+EEIIIT4whfHwJI+enh4zZszg2LFjLF68mC1btjB8+HClPDExEV9fX6pUqcLu3bvZsWMHrVu3Jjs7G4Dg4GAmT55MSEgIx48fJzY2Fjs7O53jePjwIX5+flhZWbFv3z5+/vlnNm/eTFBQkEa9uLg4kpKS2LZtG8uXL2f16tWEhYVp3c/ixYsxMzNjz549REREMG7cODZt2gQ8TV60bduW27dvs337djZt2sTZs2f5/PPPdb6fxYsXY2RkxM6dO5k3bx6rVq0iOjqa+fPnc+rUKX755Rfc3d2V+qGhobi4uOjcT0GWLVuGjY0NH330EcHBwTx69OiFdc+dO0dqaqpG0sPS0pI6depoPES7du0avXv3ZunSpVqNzjl9+jQbN27kk08+ebObEUK8NoOiDkC8HXXr1kWlUinHXl5eREZGKn+YC0twcDCVK1fm3//+d6G2K4QQQogPS97DE5VKRaVKlThy5AjR0dH07t1b57aeXTTSxcWF7777joCAAObMmQM8Hf5fq1Yt5RigatWqANy/f5/p06cza9YsunXrBkD58uVp0KCBznHExsby5MkTlixZgpmZGQCzZs2idevWhIeHK0kPIyMjYmJiMDU1pWrVqowbN45hw4Yxfvx4rUafenh4KNMOXF1dmTVrFnFxcXz66afExcVx5MgRzp07h6OjIwBLliyhatWq7Nu3j9q1a2t9P66urhpTK9avX4+9vT1NmjTB0NAQJycnPD09lXIbGxvKly+vdfsv8uWXX+Ls7IyDgwOHDx9mxIgRJCcns3r16gLr5z0oez6p9OxDtNzcXLp3705AQAC1atXi/PnzL+y/Xr16HDhwgPT0dPr06cO4cePe+J6EEK9HRlCIF7K3tycjIyPfjhzXrl3D3t4egC1btvDzzz9jYGCAgYEBvr6+wNM/WDJ/TwghhBB5Cnp4curUqdd6eLJ582Z8fX0pXbo0FhYWdOnShVu3bilP3fNGUBQkKSmJ9PT0F5brIikpiWrVqinJCYD69euTk5NDcnKycq5atWoaT/C9vLx48OABFy9e1Kqf5xchL1WqFNevX1dicHR0VJITAFWqVKF48eIkJSXpdD81a9bUOO7YsSOPHz+mXLly9O7dmzVr1pCVlaWUBwUFERcXp1MfBenTpw9+fn64u7vj7+/PkiVLWLNmDWfOnHntNmfOnMn9+/cJDg5+Zd2VK1dy4MABYmNjWb9+fYHTQYQQfw9JUHyg9uzZo3GckJCAq6sr+vr6WrdRs2ZNDA0NNf7wJCcnk5KSgpeXFwCrVq3i0KFDJCYmkpiYqAzV/Ouvv+jfv38h3IkQQgghxP87f/48rVq1wsPDg1WrVrF//35mz54N/P/Cjmq1+oXXv6zsXWVoaKhxrFKpyMnJ0fp6PT09jfU+gAJ3qng20QJPR70kJyczZ84c1Go1gYGBeHt7v/VdLurUqQM8nXJRkLwHZc+us5F3/OxDtN27d2NsbIyBgQEVKlQAoFatWsrImTyOjo5UqVKFzp07M3nyZEJDQwt91LEQQjuSoPhApaSkMGTIEJKTk1m+fDkzZ85k4MCBOrVhaWlJr169GDJkCFu3bmX//v306NEDLy8v6tatCzwdEvnRRx8pr7JlywJQuXJlSpYsWej3JYQQQoj3U2E8PIGni3jn5OQQGRlJ3bp1qVixIleuXNGo4+Hh8cIn+66urqjV6kJ58l+5cmUOHTrEw4cPlXM7d+5ET0+PSpUqKecOHTrE48ePleOEhATMzc01Rj28SQwXL17UGI1x/Phx7t69S5UqVYCnO6RcvXpV47qCtvssiFqtpnXr1syYMYNt27axe/dujhw58sZxv0xebKVKlSqwvGzZstjb22v8DNPS0tizZ4/yEG3GjBkaD9E2bNgAPB0t8bIFUXNycsjMzNQpASSEKDyyBsUHqmvXrjx+/BhPT0/09fUZOHDga+0tHh0djZ6eHu3btyc9PR0/Pz+N+ZxCCCGEENrIe3jSt29fDhw4wMyZM4mMjNS5nQoVKpCZmcnMmTNp3bq1sqDjs4KDg3F3dycwMJCAgACMjIzYunUrHTt2xMbGhhEjRjB8+HCMjIyoX78+N27c4NixY/Tq1UunWPz9/Rk7dizdunUjNDSUGzduMGDAALp06aKxPkJGRga9evVi9OjRnD9/nrFjxxIUFFQou581adJEmRoxbdo0srKyCAwM5JNPPqFWrVoANG7cmClTprBkyRK8vLz48ccfOXr0KDVq1Hhp24sWLSI7O5s6depgamrKjz/+iFqtxtnZGXi63saaNWtemuy5ffs2KSkpShIpb+pL3m4dZ86cITY2lhYtWlCiRAkOHz7M4MGD8fb2zje1JY9KpWLQoEF89913uLq6UrZsWUJCQnBwcFB2K3l+8XZzc3Pg6cO1MmXKAE8X5jQ0NMTd3R1jY2P+97//ERwczOeff55v1IoQ4u8hCYoPlKGhIdOmTWPu3Ln5yl62SNDzTExMmD17tjJ08lV8fHzyDSEUQgghhCishyfVqlUjKiqK8PBwgoOD8fb2ZtKkSXTt2lWpU7FiRf7880++/fZbPD09UavV1KlTh86dOwMQEhKCgYEBY8aM4cqVK5QqVYqAgACdYzE1NeWPP/5g4MCB1K5dG1NTU9q3b09UVJRGPV9fX1xdXfH29lZ2QHt+q9DXpVKp+PXXXxkwYADe3t7o6enRrFkzZs6cqdTx8/MjJCSE4cOH8+TJE3r27EnXrl1fORKiePHiTJ48mSFDhpCdnY27uztr166lRIkSANy8efOV60T89ttv9OjRQzn+4osvABg7diyhoaEYGRmxefNmpk2bxsOHD3F0dKR9+/aMHj1aox0XFxe6d++uvG/Dhw/n4cOH9OnTh7t379KgQQM2btyIiYmJ1u+dgYEB4eHhnDx5ktzcXJydnQkKCmLw4MFatyGEKFyqXPk2+cHx8fGhevXqWu8l/q5LS0vD0tKSlt/9hKHJq7eIEkIIIcSbWzO0ZaG19aF8NklPT8fExIRNmzZpbHEp3q5Hjx5RokQJfv/9d3x8fIo6HCHEa8j7Tnfv3j2KFSv2wnqyBsU/2LJlyzA3Ny/wlbcVlxBCCCGEePrhevny5ejp6eHm5lbU4fyjbN26lcaNG0tyQoh/AJni8QHatm2bVvXatGmjrJL8PJl3J4QQQoiisGzZMvr27VtgmbOzM8eOHXtrfU+cOJGJEycWWFa7dm2OHz9OeHi4sobBm0pJSVEWsizI8ePH862l8E/UsmVLWrYsvBE9Qoh3l0zxEO+U9PR00tPTNc6lpaXh6OgoUzyEEEKIv1FhTvHQxf379/NtH5nH0NBQWaDxbbh9+za3b98usEytVlO6dOlC7S8rK+ula4O5uLhgYCDPE4UQ7z9tp3jIbzzxTpk0aRJhYWFFHYYQQgghioiFhQUWFhZF0re1tTXW1tZ/W38GBgZUqFDhb+tPCCHedbIGhXinBAcHc+/ePY3Xs/t6CyGEEOLD5OLi8t4vovmuUalU/PLLL0UdhhBCaE0SFOKdYmxsTLFixfK9hBBCCPFh27dv32ttOyo+TOfPn6dXr16ULVsWtVpN+fLlGTt2LBkZGVpdn5ubS/PmzQtM0sTFxVGvXj0sLCywt7dnxIgRZGVlvbQ9FxcXVCoVK1asyFdWtWpVVCoVixYt0vb2hBAvIAmKIpKZmcn8+fMZOnQo4eHhRR2OEEIIIUSRsrW1xdT0w1trStsv1B+SzMzMN27jxIkT5OTkMH/+fI4dO0Z0dDTz5s3j22+/1er6adOmoVKp8p0/dOgQLVq0oFmzZhw8eJCVK1fy22+/MXLkyFe26ejoyMKFCzXOJSQkkJqaipmZmXY3JoR4KUlQ6GDp0qXs2bMHgLCwMG7evPnabR04cIBr164xefJkRowYka/85MmTDB06NN/5devWMW/evNfu9224f/8+Cxcu5Ntvv2XIkCFMnDiRw4cPF3VYQgghhHhH+Pj4EBQURFBQEJaWltjY2BASEsKza7XrMsUjKioKd3d3zMzMcHR0JDAwkAcPHmjU2blzJz4+PpiammJlZYWfnx937twBICcnh4iICCpUqICxsTFOTk5MmDDhlf3Wq1cv3+e2GzduYGhoSHx8vHIf48ePp2vXrhQrVkwZFTJixAgqVqyIqakp5cqVIyQkROOLfGhoKNWrVycmJgYnJyfMzc0JDAwkOzubiIgI7O3tKVmypFZxPuvmzZt89tlnmJqa4urqym+//aZRvn37djw9PTE2NqZUqVKMHDlSYzRBQT+X6tWrExoaqhyrVCrmzp1LmzZtMDMzY8KECdy5cwd/f39sbW1Rq9W4urrm+3L/Ms2aNWPhwoU0bdqUcuXK0aZNG7755htWr179ymsTExOJjIwkJiYmX9nKlSvx8PBgzJgxVKhQgU8++YSIiAhmz57N/fv3X9quv78/27dv15h+HBMTg7+/vyxmKkQhkQSFDi5cuICzszOPHz/m4cOH2NjYvHZbt27domTJku/Edp65ubnk5OS89vXp6emUKVOGYcOGMXXqVFq1akVMTAxXr14txCiFEEII8T5bvHgxBgYG7N27l+nTpxMVFcUPP/zwWm3p6ekxY8YMjh07xuLFi9myZQvDhw9XyhMTE/H19aVKlSrs3r2bHTt20Lp1a7Kzs4Gna15NnjyZkJAQjh8/TmxsLHZ2dq/s19/fnxUrVmgkVlauXImDgwMNGzZUzk2dOpVq1apx8OBBQkJCgKeLfy5atIjjx48zffp0vv/+e6KjozXaP3PmDL///jsbN25k+fLlLFiwgJYtW3Lp0iW2b99OeHg4o0ePVh6YaSMsLIxOnTpx+PBhWrRogb+/v7JTyeXLl2nRogW1a9fm0KFDzJ07lwULFvDdd99p3X6e0NBQPvvsM44cOULPnj2V9/b3338nKSmJuXPnanx29vHxoXv37jr1ce/evVcuYvro0SO+/PJLZs+ejb29fb7y9PR0TExMNM6p1WqePHnC/v37X9q2nZ0dfn5+LF68WOlr5cqV9OzZU6f7EEK8mKT6tJSens7du3exs7MjOTlZqz2p9+zZw8aNG0lLS8PBwYGOHTvi5OTEqlWr2LZtG7m5uQwePBhfX19atWqlc0yZmZmsWLGCw4cPk52djZWVFV26dMHFxYXc3Fy2bdtGfHw8aWlplClThi+++IJSpUoBMHr0aBo0aMDhw4e5fPkyw4cP5/Lly6xfv560tDRMTExo2LAhLVq0eGUcNjY2fPrpp8qxh4cHdnZ2nDt3TulPCCGEEP9sjo6OREdHo1KpqFSpEkeOHCE6OprevXvr3NagQYOUf7u4uPDdd98REBDAnDlzAIiIiKBWrVrKMTxdJwCejvycPn06s2bNolu3bgCUL1+eBg0avLLfTp06MWjQIHbs2KEkJGJjY+ncubPGdILGjRvnGwk7evRojZi/+eYbVqxYoZFYycnJISYmBgsLC6pUqUKjRo1ITk5mw4YN6OnpUalSJcLDw9m6dSt16tTR6r3q3r07nTt3BmDixInMmDGDvXv30qxZM+bMmYOjoyOzZs1CpVLh5ubGlStXGDFiBGPGjEFPT/tnmV9++SU9evRQjlNSUqhRowa1atVS7vlZTk5OOn1OPH36NDNnzmTq1KkvrTd48GDq1atH27ZtCyz38/Nj2rRpLF++nE6dOpGamsq4ceMAtHq41rNnT4YOHcqoUaP473//S/ny5alevbrW9yGEeDlJULzCwYMH+fHHH8nJySEzM5NvvvlGGfY2dOhQmjRpQvPmzfNdd+rUKVasWEFgYCDlypVj+/btzJo1i7CwMNq3b4+xsTGXLl0iICDgtWPbs2cPly5dIiwsDLVazfXr15URGfHx8ezatYt+/fpRokQJ4uPjmTdvHiEhIcoQtISEBPr164etrS3p6elMmjSJgQMH4urqyqNHj7h+/brS13fffYefnx+1a9d+ZVz3798nNTW10PcKF0IIIcT7q27duhpf4r28vIiMjCQ7Oxt9fX2d2tq8eTOTJk3ixIkTpKWlkZWVxZMnT3j06BGmpqYkJibSsWPHAq9NSkoiPT0dX19fne/B1taWpk2bsmzZMho2bMi5c+fYvXs38+fP16iX96X8WStXrmTGjBmcOXOGBw8ekJWVlW8hcBcXF40tVu3s7NDX19dIFNjZ2Wl8RnsVDw8P5d9mZmYUK1ZMuT4pKQkvLy+Nn0v9+vV58OABly5d0uqBXJ7n77lfv360b9+eAwcO0LRpU9q1a0e9evWU8iVLlmjd9uXLl2nWrBkdO3Z8aULrt99+Y8uWLRw8ePCFdZo2bcqUKVMICAigS5cuGBsbExISwl9//aVVQqZly5b07duX+Ph4YmJiZPSEEIVMpni8Qo0aNYiMjKRx48a0bNmSyMhIypUrR//+/YmMjCwwOQGwd+9ePD09cXV1RV9fn8aNG2NqasrRo0cLLTZ9fX3S09NJTU0lNzcXOzs7ZdhbfHw8rVq1omTJkujr69OoUSMyMjI4f/68cr23tzd2dnbo6emhp6eHvr4+qampPH78GFNTU41M9+jRo7VKTmRlZbFgwQI+/vhjnJ2dC+1ehRBCCCHg6e4OrVq1wsPDg1WrVrF//35mz54N/P+ClGq1+oXXv6xMG/7+/vz3v/8lMzOT2NhY3N3dcXd316jz/IKJu3fvxt/fnxYtWrBu3ToOHjzIqFGj8i2g+fzUX5VKVeA5Xabmvun1enp6GlNaoOBFMJ+/5+bNm3PhwgUGDx7MlStX8PX15ZtvvtG63zxXrlyhUaNG1KtXj//85z8vrbtlyxbOnDlD8eLFMTAwUB7KtW/fHh8fH6XekCFDuHv3LikpKdy8eVMZbVGuXLlXxmNgYECXLl0YO3Yse/bswd/fX+d7EkK8mIyg0NKpU6do06YN2dnZXLx4kbJly760/p07d6hYsaLGORsbG2VxplfR19dX5kk+69mnDJ6enty7d4/ly5dz584dPDw8+Ne//oW5uTm3bt1i0aJFGpngrKwsjf6trKyUfxsbG9OvXz/i4uJYs2YNpUuXplWrVlSqVEmrePPa//777zEyMpJf1kIIIYTQ8Py6CQkJCcqDHF3s37+fnJwcIiMjlc85P/30k0YdDw8P4uLiCAsLy3e9q6srarWauLg4vvrqKx3vAtq2bUufPn3YuHEjsbGxdO3a9ZXX7Nq1C2dnZ0aNGqWcu3Dhgs59F7bKlSuzatUqcnNzlVEUO3fuxMLCgjJlygBPR408O/UhLS2Nc+fOadW+ra0t3bp1o1u3bjRs2FBZr0xbly9fplGjRtSsWZOFCxe+coTDyJEj8/1M3d3diY6OpnXr1hrnVSoVDg4OACxfvhxHR0c+/vhjreLq2bMnU6dO5fPPP9f4PC2EeHOSoHiJzMxMZcuhJ0+eMHfuXGWqx8iRI3FwcChwpw14+uX/1q1bGudu3bql9S8xa2trMjIyuH//vsZQv5s3b1KiRAngaRKjWbNmNGvWjLS0NGJiYli/fr3yy7JDhw7KfMuCPL/1kpubG25ubmRnZ7N9+3bmz5/P1KlTtRrulpWVxQ8//EB2djZ9+/aVlYyFEEIIoSElJYUhQ4bQt29fDhw4wMyZM4mMjNS5nQoVKpCZmcnMmTNp3bo1O3fuzLfDWXBwMO7u7gQGBhIQEICRkRFbt26lY8eO2NjYMGLECIYPH46RkRH169fnxo0bHDt2jF69er2yfzMzM9q1a0dISAhJSUnK+g4v4+rqSkpKCitWrKB27dqsX7+eNWvW6HzvhS0wMJBp06YxYMAAgoKCSE5OZuzYsQwZMkT5/Ne4cWMWLVpE69atKV68OGPGjNEqqTRmzBhq1qxJ1apVSU9PZ926dVSuXFkp79q1K6VLl2bSpEkFXn/58mV8fHxwdnZm6tSp3LhxQynLW/zy8uXL+Pr6smTJEjw9PbG3ty9wYUwnJyeNh4tTpkyhWbNm6OnpsXr1aiZPnsxPP/2kdbKscuXK3Lx584PcFleIoibfIl/C0NCQyMhIjh8/Tnx8PAEBAaxduxYjIyP8/Pxeem3t2rWZN28enp6euLi4EB8fz8OHD1+aMHiWlZUVrq6urFq1ik6dOmFsbExSUhKHDx9WkiLJycmYmpri4OCAkZERhoaGyi9Wb29v1q1bh42NDXZ2djx+/JiTJ09SqVKlfCsXw9Ns+NmzZ3Fzc8PY2Bi1Wq31L+ns7Gx++OEH0tPTCQwMfCd2JhFCCCHEu6Vr1648fvwYT09P9PX1GThwoLIFpy6qVatGVFQU4eHhBAcH4+3tzaRJkzRGMlSsWJE///yTb7/9Fk9PT9RqNXXq1FGSCXlrco0ZM4YrV65QqlQpndYFy5uu4e3trdU6DW3atGHw4MEEBQWRnp5Oy5YtCQkJ0diqsyiULl2aDRs2MGzYMKpVq4a1tTW9evXSWNAzODiYc+fO0apVKywtLRk/frxWIyiMjIwIDg7m/PnzqNVqGjZsyIoVK5TylJSUlz4E27RpE6dPn+b06dPKaI48eVNOMjMzSU5O5tGjRzrd9++//86ECRNIT0+nWrVq/Prrry+ctv0ieQ8MhRCFS5X7/KQykU9sbCzOzs7Ur1+fCRMm0KtXrwKzs89LSEjgjz/+4N69e8ouHnnrMqxbt+6Vi2Teu3ePNWvWkJycTEZGBra2trRo0UJZ7Gjfvn1s2LCBu3fvYmhoiJubG1988QWmpqbk5uYSHx9PfHw8d+7cwdjYmPLly/Pvf/8bExMTRo8eTYcOHZRVh+/du0dMTAyXLl0iNzeXkiVL8tlnnylTPMaPH4+fnx+enp754jx58iTTpk3D0NBQ4w+Nn58fzZo10/p9fpG0tDQsLS1p+d1PGJpIploIIYT4O6wZ2rLQ2vLx8aF69epMmzat0NoUQgjx/sj7Tnfv3r18CwQ/SxIU4p0nCQohhBDi7ycJCiGEEIVF2wSF7OIhhBBCCCHeGcuWLcPc3LzAl7ZTZV/XxIkTX9i3rlMA3raifJ+EEOJtkREU4p0nIyiEEEKIv19hjqDQxf3797l27VqBZYaGhm91G/Pbt29z+/btAsvUajWlS5d+a33rqijfJyGE0JW2IyhkkUwhhBBCCPHOsLCw0NjB7O9kbW2NtbV1kfStq6J8n4QQ4m2RKR5CCCGEEEIIIYQocpKgEEIIIYQQQgghRJGTKR7ivRE7wO+l85WEEEIIIYQQQry/ZASFEEIIIYQQQgghipwkKIQQQgghhBBCCFHkJEEhhBBCCCGEEEKIIicJCiGEEEIIIYQQQhQ5SVAIIYQQQgghhBCiyEmCQgghhBBCCCGEEEVOEhRCCCGEEEIIIYQocpKgEEIIIYQQQgghRJEzKOoAhNDWN7G7MFKbFXUYQgghhHhDs7o1LOoQhBBCvINkBIUQQgghhBBCCCGKnCQo/oFcXFyYNm1aUYchhBBCCCGEEEIoJEHxD7Rv3z769OmjVd0nT57Qv39/SpQogbm5Oe3bt+fatWv52vP19aV48eJYWVnh5+fHoUOH3kboQgghhBBCCCE+UJKg+AeytbXF1NRUq7qDBw9m7dq1/Pzzz2zfvp0rV67wr3/9Syl/8OABzZo1w8nJiT179rBjxw4sLCzw8/MjMzPzbd2CEEIIIYTW3pfRoyqVil9++UXr+t27d6ddu3av3Z+Pjw+DBg167euFEKKwSYLiA+Tj40NQUBBBQUFYWlpiY2NDSEgIubm5gPZ/pO/du8eCBQuIioqicePG1KxZk4ULF7Jr1y4SEhIAOHHiBLdv32bcuHFUqlSJqlWrMnbsWK5du8aFCxfe5m0KIYQQQmhFl9GjRenq1as0b968qMN4b6xevZqmTZtSokQJVCoViYmJr7wmMzOTcePGUb58eUxMTKhWrRobN27UqBMaGopKpdJ4ubm5Fdhebm4uzZs31zm5JIQomCQoPlCLFy/GwMCAvXv3Mn36dKKiovjhhx90amP//v1kZmbSpEkT5ZybmxtOTk7s3r0bgEqVKlGiRAkWLFhARkYGjx8/ZsGCBVSuXBkXF5fCvCUhhBBCiNeiy+jRomRvb4+xsXFRh/HWZWRkFEo7Dx8+pEGDBoSHh2t9zejRo5k/fz4zZ87k+PHjBAQE8Nlnn3Hw4EGNelWrVuXq1avKa8eOHQW2N23aNFQq1RvdhxDi/+mcoFiyZAnp6en5zmdkZLBkyZJCCUq8OUdHR6Kjo6lUqRL+/v4MGDCA6OhondpITU3FyMiI4sWLa5y3s7MjNTUVAAsLC7Zt28aPP/6IWq3G3NycjRs38vvvv2NgILvYCiGEEOLtetXIUdBtikdUVBTu7u6YmZnh6OhIYGAgDx480Kizc+dOfHx8MDU1VdbfunPnDgA5OTlERERQoUIFjI2NcXJyYsKECVr1/fxT+CNHjtC4cWPUajUlSpSgT58++WIBCAsLw9bWlmLFihEQEKBTAiAnJ4fhw4djbW2Nvb09oaGhGuUpKSm0bdsWc3NzihUrRqdOnTTWIytomsmgQYPw8fFRjvN+RoMGDcLGxgY/Pz9yc3MJDQ3FyckJY2NjHBwc+Prrr7WOG6BLly6MGTNG42HaqyxdupRvv/2WFi1aUK5cOfr160eLFi2IjIzUqGdgYIC9vb3ysrGxyddWYmIikZGRxMTE6BS3EOLFdE5Q9OjRg3v37uU7f//+fXr06FEoQYk3V7duXY1srpeXF6dOnSI7O7tQ+3n8+DG9evWifv36JCQksHPnTj766CNatmzJ48ePC7UvIYQQQoiCFMbI0Tx6enrMmDGDY8eOsXjxYrZs2cLw4cOV8sTERHx9falSpQq7d+9mx44dtG7dWvmMFRwczOTJkwkJCeH48ePExsZiZ2encxwPHz7Ez88PKysr9u3bx88//8zmzZsJCgrSqBcXF0dSUhLbtm1j+fLlrF69mrCwMK37Wbx4MWZmZuzZs4eIiAjGjRvHpk2bgKfJi7Zt23L79m22b9/Opk2bOHv2LJ9//rnO97N48WKMjIzYuXMn8+bNY9WqVURHRzN//nxOnTrFL7/8gru7u1I/NDT0rYzGTU9Px8TEROOcWq3ON0Li1KlTODg4UK5cOfz9/UlJSdEof/ToEV9++SWzZ8/G3t6+0OMU4p9K50fcubm5BQ5junTpEpaWloUSlHg32Nvbk5GRwd27dzVGUVy7dk35RRwbG8v58+fZvXs3enp6yjkrKyt+/fVXvvjii6IIXQghhBD/IHkjR1UqFZUqVeLIkSNER0fTu3dvndt6dtFIFxcXvvvuOwICApgzZw4AERER1KpVSzmGp9MB4OkDu+nTpzNr1iy6desGQPny5WnQoIHOccTGxvLkyROWLFmCmZkZALNmzaJ169aEh4crSQ8jIyNiYmIwNTWlatWqjBs3jmHDhjF+/Hjls9nLeHh4MHbsWABcXV2ZNWsWcXFxfPrpp8TFxXHkyBHOnTuHo6Mj8HQ0ddWqVdm3bx+1a9fW+n5cXV2JiIhQjtevX4+9vT1NmjTB0NAQJycnPD09lXIbGxvKly+vdfva8vPzIyoqCm9vb8qXL09cXByrV6/WeIhXp04dFi1aRKVKlbh69SphYWE0bNiQo0ePYmFhATxdSL5evXq0bdu20GMU4p9M6xEUNWrU4OOPP0alUuHr68vHH3+svKpVq0bDhg11Gl4l3q49e/ZoHCckJODq6oq+vr7WbdSsWRNDQ0Pi4uKUc8nJyaSkpODl5QU8zR7r6elpJK3yjnNyct7wLoQQQgghXq0wR45u3rwZX19fSpcujYWFBV26dOHWrVs8evQI+P8RFAVJSkoiPT39heW6SEpKolq1akpyAqB+/frk5OSQnJysnKtWrZrG+hpeXl48ePCAixcvatWPh4eHxnGpUqW4fv26EoOjo6OSnACoUqUKxYsXJykpSaf7qVmzpsZxx44defz4MeXKlaN3796sWbOGrKwspTwoKEjjM2hhmT59Oq6urri5uWFkZERQUBA9evTQSOY0b96cjh074uHhgZ+fHxs2bODu3bv89NNPAPz2229s2bLlvdgZRoj3jdYJinbt2tG2bVtyc3Px8/Ojbdu2yuuLL75g/vz5/Pjjj28zVqGDlJQUhgwZQnJyMsuXL2fmzJkMHDhQpzYsLS3p1asXQ4YMYevWrezfv58ePXrg5eVF3bp1Afj000+5c+cO/fv3JykpiWPHjtGjRw8MDAxo1KjR27g1IYQQQoi34vz587Rq1QoPDw9WrVrF/v37mT17NvD/Czuq1eoXXv+ysneVoaGhxrGuD5n09PQ01vsACtxq/tlECzwd9ZKcnMycOXNQq9UEBgbi7e391rept7W15ZdffuHhw4dcuHCBEydOYG5uTrly5V54TfHixalYsSKnT58GYMuWLZw5c4bixYtjYGCgrLvWvn17jbU3hBC603qKR97QLxcXFz7//PN8c7fEu6Vr1648fvwYT09P9PX1GThw4GttrxUdHY2enh7t27cnPT0dPz8/jSGNbm5urF27lrCwMLy8vNDT06NGjRps3LiRUqVKFeYtCSGEEEIUqDBGjsLTHcxycnKIjIxUnqjnPTXP4+HhQVxcXIHrPLi6uqJWq4mLi+Orr77S8S40Va5cmUWLFvHw4UPly/3OnTvR09OjUqVKSr1Dhw7x+PFjJTmSkJCAubm5xqiHN4nh4sWLXLx4UWnv+PHj3L17lypVqgBPv/AfPXpU47rExMR8iY+CqNVqWrduTevWrenfvz9ubm4cOXKEjz/++I1jfxUTExNKly5NZmYmq1atolOnTi+s++DBA86cOUOXLl0AGDlyZL6fr7u7O9HR0bRu3fqtxi3Eh07nNSjy5tNlZGRw/fr1fBlWJyenwolMvBFDQ0OmTZvG3Llz85WdP39e63ZMTEyYPXu28vSgIJ9++imffvrp64QphBBCCPHG8kaO9u3blwMHDjBz5sx8uzJoo0KFCmRmZjJz5kxat26tLOj4rODgYNzd3QkMDCQgIAAjIyO2bt1Kx44dsbGxYcSIEQwfPhwjIyPq16/PjRs3OHbsGL169dIpFn9/f8aOHUu3bt0IDQ3lxo0bDBgwgC5dumgsupmRkUGvXr0YPXo058+fZ+zYsQQFBWm1/sSrNGnSBHd3d/z9/Zk2bRpZWVkEBgbyySefUKtWLQAaN27MlClTWLJkCV5eXvz4448cPXqUGjVqvLTtRYsWkZ2dTZ06dTA1NVV2hHN2dgaerrexZs2al07zuH37NikpKVy5cgVAmfqSt/NGQfbs2cPly5epXr06ly9fJjQ0VNnJJM8333xD69atcXZ25sqVK4wdOxZ9fX06d+780vadnJwoW7bsS+9bCPFyOv/mOnXqFA0bNlR+gZQtW5ayZcvi4uIi/0MKIYQQQoi/3bMjR/v37//aI0erVatGVFQU4eHhfPTRRyxbtoxJkyZp1KlYsSJ//vknhw4dwtPTEy8vL3799VdlmH9ISAhDhw5lzJgxVK5cmc8//1xZ00EXpqam/PHHH9y+fZvatWvToUMHfH19mTVrlkY9X19fXF1d8fb25vPPP6dNmzb5tgp9XSqVil9//RUrKyu8vb1p0qQJ5cqVY+XKlUodPz8/QkJCGD58OLVr1+b+/ft07dr1lW0XL16c77//nvr16+Ph4cHmzZtZu3YtJUqUAODmzZucOXPmpW389ttv1KhRg5YtWwLwxRdfUKNGDY2kUvfu3TWmXTx58oTRo0dTpUoVPvvsM0qXLs2OHTs0FoS/dOkSnTt3plKlSnTq1IkSJUqQkJCAra2tNm+bEOINqHKfnzT2CvXr18fAwICRI0dSqlSpfDt6VKtWrVADFLrz8fGhevXqr1y4Z9myZfTt27fAMmdnZ44dO/YWotNdWloalpaW9J77O0Zqs1dfIIQQQoh32qxuDQutLW0/97zr8ra/3LRpkyw8X4g++eQTGjVqVGhJGyHE68n7Tnfv3j2KFSv2wno6T/FITExk//79uLm5vVGA4u3Ztm2bVvXatGlDnTp1CizTZt6gEEIIIYR4c2lpaaxevRo9PT35jF2I7t27x5kzZ1i/fn1RhyKE0JLOCYoqVapw8+bNtxGL+JtZWFgoezkLIYQQQnzoinL06MSJE5k4cWKBZbVr1+b48eOEh4dTpkyZQukvJSVFWciyIMePH//g146ztLTk0qVLRR2GEEIHOk/x2LJlC6NHj2bixIm4u7vne9L+suEaQrxKeno66enpGufS0tJwdHSUKR5CCCHEB6Iwp3jo4v79+1y7dq3AMkNDQ2WBxrfh9u3b3L59u8AytVpN6dKlC7W/rKysly6M7uLioqybIYQQb9tbm+KRNyfO19dX43xubi4qlYrs7GxdmxRCMWnSpAK37RJCCCGEeFNFOXrU2toaa2vrv60/AwMDKlSo8Lf1J4QQhUHnBMXWrVvfRhxCAE+37hoyZIjGubwRFEIIIYQQr8PFxYVBgwYxaNCgog7lg6FSqVizZg3t2rUr6lCEEB8QnbcZ/eSTT176EuJNGBsbU6xYsXwvIYQQQojXtW/fvtfadlR8uFxcXFCpVBqvyZMnK+WhoaH5ylUqFWZmmtON7969S//+/SlVqhTGxsZUrFiRDRs2vLTvw4cP07BhQ0xMTHB0dCQiIiJfnWnTplGpUiXUajWOjo4MHjyYJ0+eKOXZ2dmEhIRQtmxZ1Go15cuXZ/z48eg4e1+Id47OIyji4+NfWu7t7f3awfyTZGZmEhMTw8mTJylZsiQjRowo6pCEEEIIIT5Itra2RR3CW5GRkYGRkVFRh/G3yszMLLTd5saNG0fv3r2V42en/3zzzTcEBARo1Pf19aV27drKcUZGBp9++iklS5bkv//9L6VLl+bChQsUL178hX2mpaXRtGlTmjRpwrx58zhy5Ag9e/akePHiShItNjaWkSNHEhMTQ7169Th58iTdu3dHpVIRFRUFQHh4OHPnzmXx4sVUrVqV//3vf/To0QNLS0u+/vrrwnh7hCgSOo+g8PHxyfdq1KiR8vqQLV26lD179gAQFhb2RruZHDhwgGvXrjF58uQCkxMnT55k6NCh+c6vW7eOefPmvXa/b8vatWv57rvvCAoK4ueffy7qcIQQQgjxD+Hj40NQUBBBQUFYWlpiY2NDSEiIxpNkFxcXpk2bplV7UVFRuLu7Y2ZmhqOjI4GBgTx48ECjzs6dO/Hx8cHU1BQrKyv8/Py4c+cOADk5OURERFChQgWMjY1xcnJiwoQJr+y3Xr16+T4T3rhxA0NDQ+UBoYuLC+PHj6dr164UK1ZM+UI7YsQIKlasiKmpKeXKlSMkJITMzEylndDQUKpXr05MTAxOTk6Ym5sTGBhIdnY2ERER2NvbU7JkSa3ifNbNmzf57LPPMDU1xdXVld9++02jfPv27Xh6emJsbEypUqUYOXIkWVlZSnlBP5fq1asTGhqqHKtUKubOnUubNm0wMzNjwoQJ3LlzB39/f2xtbVGr1bi6urJw4UKdYoenCQl7e3vl9ezoCHNzc42ya9eucfz4cXr16qXUiYmJ4fbt2/zyyy/Ur18fFxcXPvnkE6pVq/bCPpctW0ZGRgYxMTFUrVqVL774gq+//lpJPADs2rWL+vXr8+WXX+Li4kLTpk3p3Lkze/fu1ajTtm1bWrZsiYuLCx06dKBp06YadYR4H+mcoLhz547G6/r162zcuJHatWvz559/vo0Y3xkXLlzA2dmZx48f8/DhQ2xsbF67rVu3blGyZMlCywC/idzcXHJyct6oDVtbWz777DPc3d0LKSohhBBCCO0sXrwYAwMD9u7dy/Tp04mKiuKHH354rbb09PSYMWMGx44dY/HixWzZsoXhw4cr5YmJifj6+lKlShV2797Njh07aN26tbJQfHBwMJMnTyYkJITjx48TGxuLnZ3dK/v19/dnxYoVGomVlStX4uDgQMOG/7/rydSpU6lWrRoHDx4kJCQEePpFe9GiRRw/fpzp06fz/fffEx0drdH+mTNn+P3339m4cSPLly9nwYIFtGzZkkuXLrF9+3bCw8MZPXq08jBOG2FhYXTq1InDhw/TokUL/P39lZ1KLl++TIsWLahduzaHDh1i7ty5LFiwgO+++07r9vOEhoby2WefKaMN8t7b33//naSkJObOnavxudzHx4fu3bu/st3JkydTokQJatSowZQpUzSSJ8/74YcfqFixosbP4rfffsPLy4v+/ftjZ2fHRx99xMSJE1+6acDu3bvx9vbWGPni5+dHcnKykuSqV68e+/fvV5INZ8+eZcOGDbRo0UK5pl69esTFxXHy5EkADh06xI4dO2jevPkr71uId5nOUzwsLS3znfv0008xMjJiyJAh7N+/v1ACe9ekp6dz9+5d7OzsSE5O1mrf6D179rBx40bS0tJwcHCgY8eOODk5sWrVKrZt20Zubi6DBw/G19eXVq1a6RxTZmYmK1as4PDhw2RnZ2NlZUWXLl1wcXEhNzeXbdu2ER8fT1paGmXKlOGLL76gVKlSAIwePZoGDRpw+PBhLl++zPDhw7l8+TLr168nLS0NExMTGjZsqPGL8GXq1q0L8MH+/IUQQgjx7nJ0dCQ6OhqVSkWlSpU4cuQI0dHRGsP3tfXsQpouLi589913BAQEMGfOHAAiIiKoVauWcgxQtWpV4Ok2ptOnT2fWrFl069YNgPLly9OgQYNX9tupUycGDRrEjh07lC/BsbGxdO7cGZVKpdRr3LhxvlG2o0eP1oj5m2++YcWKFRqJlZycHGJiYrCwsKBKlSo0atSI5ORkNmzYgJ6eHpUqVSI8PJytW7dSp04drd6r7t2707lzZwAmTpzIjBkz2Lt3L82aNWPOnDk4Ojoya9YsVCoVbm5uXLlyhREjRjBmzBj09LR/Tvrll1/So0cP5TglJYUaNWpQq1Yt5Z6f5eTkpHzmfZGvv/6ajz/+GGtra3bt2kVwcDBXr17VGMmQ58mTJyxbtoyRI0dqnD979ixbtmzB39+fDRs2cPr0aQIDA8nMzGTs2LEF9puamkrZsmU1zuUlsFJTU7GysuLLL7/k5s2bNGjQgNzcXLKysggICODbb79Vrhk5ciRpaWm4ubmhr69PdnY2EyZMwN/f/6X3LcS7rtA2P8774v6hOXjwID/++CM5OTlkZmbyzTffKNnVoUOH0qRJkwIzladOnWLFihUEBgZSrlw5tm/fzqxZswgLC6N9+/YYGxtz6dKlfHPbdLFnzx4uXbpEWFgYarWa69evKyMy4uPj2bVrF/369aNEiRLEx8czb948QkJClD2vExIS6NevH7a2tqSnpzNp0iQGDhyIq6srjx494vr160pf3333HX5+fhrz7oQQQggh3gV169bV+BLv5eVFZGQk2dnZ6Ovr69TW5s2bmTRpEidOnCAtLY2srCyePHnCo0ePMDU1JTExkY4dOxZ4bVJSEunp6fj6+up8D7a2tjRt2pRly5bRsGFDzp07x+7du5k/f75Gvbwv5c9auXIlM2bM4MyZMzx48ICsrKx8i4y7uLhorLFgZ2eHvr6+RqLAzs5O4/Pfq3h4eCj/NjMzo1ixYsr1SUlJeHl5afxc6tevz4MHD7h06ZJWD/vyPH/P/fr1o3379hw4cICmTZvSrl076tWrp5QvWbLklW0+u2uch4cHRkZG9O3bl0mTJmFsbKxRd82aNdy/f19JOuXJycmhZMmS/Oc//0FfX5+aNWty+fJlpkyZ8sIEhTa2bdvGxIkTmTNnDnXq1OH06dMMHDiQ8ePHK6NmfvrpJ5YtW0ZsbCxVq1YlMTGRQYMG4eDgkC9OId4nOicoDh8+rHGcm5vL1atXmTx5MtWrVy+suN4ZNWrUoEaNGqxduxYDAwOaN2/O9OnTad68ORUrVnzhdXv37sXT0xNXV1fgabY7Pj6eo0ePFtqXfH19fdLT00lNTcXFxUVj+GB8fDxt2rShZMmSADRq1Ig///yT8+fPK3tie3t7K9fo6emhr69PamoqZcqUwdTUVCMb/WxmXgghhBDiQ3T+/HlatWpFv379mDBhAtbW1uzYsYNevXqRkZGBqakparX6hde/rEwb/v7+fP3118ycOZPY2Fjc3d3zTZ99fheJ3bt34+/vT1hYGH5+flhaWrJixQoiIyM16j0/rVilUhV4Tpdpv296vZ6eXr5dJ55dOyPP8/fcvHlzLly4wIYNG9i0aRO+vr7079+fqVOnat338+rUqUNWVhbnz5+nUqVKGmU//PADrVq1yjdVp1SpUhgaGmokwSpXrkxqauoLFzDNW8/iWXnH9vb2AISEhNClSxe++uorANzd3Xn48CF9+vRh1KhR6OnpMWzYMEaOHMkXX3yh1Llw4QKTJk2SBIV4r+mcoKhevToqlSrfL5O6desSExNTaIG9a06dOkWbNm3Izs7m4sWL+YZmPe/OnTv5Ehg2NjbK3LJXyRuq9bxnnwR4enpy7949li9fzp07d/Dw8OBf//oX5ubm3Lp1i0WLFmlkxbOysjT6t7KyUv5tbGxMv379iIuLY82aNZQuXZpWrVrl+wUthBBCCPGueX7dhISEBFxdXXUePbF//35ycnKIjIxUPkP99NNPGnU8PDyIi4sjLCws3/Wurq6o1Wri4uKUL5e6aNu2LX369GHjxo3ExsbStWvXV16za9cunJ2dGTVqlHLuwoULOvdd2CpXrsyqVavIzc1VRlHs3LkTCwsLypQpAzwdNXL16lXlmrS0NM6dO6dV+7a2tnTr1o1u3brRsGFDhg0b9kYJisTERPT09JSHe3nOnTvH1q1b8y0ACk9HhMTGxpKTk6P893Ly5ElKlSr1wt1VvLy8GDVqlMZuJJs2baJSpUrKZ/NHjx7lmwKT999y3newF9V503XlhChqOiconv+loaenh62tLSYmJoUW1LsiMzNTmWv25MkT5s6dq0z1GDlyJA4ODgXutAFPv/zfunVL49ytW7c0kgIvY21tTUZGBvfv39cYjnfz5k1KlCgBPP0l1KxZM5o1a0ZaWhoxMTGsX7+ezz//HCsrKzp06KDMiSzIs0PuANzc3HBzcyM7O5vt27czf/58pk6dqtMcQSGEEEKIv1tKSgpDhgyhb9++HDhwgJkzZ+YbQaCNChUqkJmZycyZM2ndujU7d+7Mt3tacHAw7u7uBAYGEhAQgJGREVu3bqVjx47Y2NgwYsQIhg8fjpGREfXr1+fGjRscO3ZMY/eHFzEzM6Ndu3aEhISQlJSkrO/wMq6urqSkpLBixQpq167N+vXrWbNmjc73XtgCAwOZNm0aAwYMICgoiOTkZMaOHcuQIUOUz5aNGzdm0aJFtG7dmuLFizNmzBitkkpjxoyhZs2aVK1alfT0dNatW0flypWV8q5du1K6dGkmTZpU4PW7d+9mz549NGrUCAsLC3bv3s3gwYP597//ne+zekxMDKVKlSpwSne/fv2YNWsWAwcOZMCAAZw6dYqJEye+dJvPL7/8krCwMHr16sWIESM4evQo06dP11jUtHXr1kRFRVGjRg1likdISAitW7dW3p/WrVszYcIEnJycqFq1KgcPHiQqKoqePXu+8v0T4l2mc4LC2dn5bcTxTjI0NCQyMpLjx48THx9PQEAAa9euxcjICD8/v5deW7t2bebNm4enpycuLi7Ex8fz8OHDlyYMnmVlZYWrqyurVq2iU6dOGBsbk5SUxOHDh5WkSHJyMqampjg4OGBkZKQxxMzb25t169ZhY2ODnZ0djx8/5uTJk1SqVKnAZFJaWhpnz57Fzc0NY2Nj1Gq1Tk8dsrOzycnJUV6ZmZnKtBEhhBBCiLepa9euPH78GE9PT/T19Rk4cKCyBacuqlWrRlRUFOHh4QQHB+Pt7c2kSZM0RjJUrFiRP//8k2+//RZPT0/UajV16tRRkgl5632NGTOGK1euUKpUKZ3WHPP396dFixZ4e3trtU5DmzZtGDx4MEFBQaSnp9OyZUtCQkI0tuosCqVLl2bDhg0MGzaMatWqYW1tTa9evTSmDQcHB3Pu3DlatWqFpaUl48eP12oEhZGREcHBwZw/fx61Wk3Dhg1ZsWKFUp6SkvLSB2zGxsasWLGC0NBQ0tPTKVu2LIMHD9ZYlwKerjGxaNEiunfvXuBnWkdHR/744w8GDx6Mh4cHpUuXZuDAgRrbxS5atIgePXooIx8sLS35888/6d+/PzVr1sTGxoYxY8Zo/Pc6evRoVCoVo0eP5vLly9ja2ioJiTwzZ84kJCSEwMBArl+/joODA3379mXMmDGvfP+EeJepcp+fq6GF7du3M3XqVJKSkgCoUqUKw4YN09h250MSGxuLs7Mz9evXZ8KECfTq1UuZI/YyCQkJ/PHHH9y7d0/ZxSMvwbNu3bpXLpJ579491qxZQ3JyMhkZGdja2tKiRQtlQaJ9+/axYcMG7t69i6GhIW5ubnzxxReYmpqSm5tLfHw88fHx3LlzB2NjY8qXL8+///1vTExMGD16NB06dFDWDbl37x4xMTFcunSJ3NxcSpYsyWeffaZM8Rg/fjx+fn54enoWGOuSJUtISEjQOFe3bl2thia+SlpaGpaWlvSe+ztGarNXXyCEEEKId9qsboX3mdHHx4fq1aszbdq0QmtTiMIyduxYtm/fzrZt24o6FCGKVN53unv37uVbxPdZOicofvzxR3r06MG//vUv6tevDzydT7ZmzRoWLVrEl19++WaRC/EcSVAIIYQQHxZJUIh/Ck9PT2bNmvXCh3xC/FNom6DQeXGBCRMmEBERwcqVK/n666/5+uuvWblyJZMnT2b8+PFvFLQQQgghhBBvy7JlyzA3Ny/wpe003Nc1ceLEF/Zd0PoGRako36cPTd7OfkII7eg8gsLY2Jhjx44pW1XmOX36NB999BFPnjwp1ACFkBEUQgghxIelMEdQ6OL+/fv5tnjMY2ho+FbXWrt9+za3b98usEytVlO6dOm31reuivJ9EkJ8mLQdQaHzIpmOjo7ExcXlS1Bs3rwZR0dH3SMVQgghhBDib2BhYaGxO9rfydraGmtr6yLpW1dF+T4JIf7ZdE5QDB06lK+//prExETq1asHPF2DYtGiRUyfPr3QAxRCCCGEEEIIIcSH77V28VizZg2RkZHKLh6VK1dm2LBhtG3bttADFELb4UBCCCGEEEIIId49b20XDyH+bpKgEEIIIYQQQoj311vbxWPfvn3s2bMn3/k9e/bwv//9T9fmhBBCCCGEEEIIIXRPUPTv35+LFy/mO3/58mX69+9fKEEJIYQQQgghhBDin0XnBMXx48f5+OOP852vUaMGx48fL5SghBBCCCGEEEII8c+ic4LC2Ni4wH2Rr169ioGBzpuCCCGEEEIIIYQQQuieoGjatCnBwcHcu3dPOXf37l2+/fZbPv3000INTgghhBBCCCGEEP8MOg95mDp1Kt7e3jg7O1OjRg0AEhMTsbOzY+nSpYUeoBBCCCGEEEIIIT58OicoSpcuzeHDh1m2bBmHDh1CrVbTo0cPOnfujKGh4duIUQghhBBCCCGEEB+411o0wszMjD59+hR2LEIIIYQQQgghhPiH0jlBMWnSJOzs7OjZs6fG+ZiYGG7cuMGIESMKLTghnjXtz0OYmJoXdRhCCCGEKGTDW9Qo6hCEEEK8A3ReJHP+/Pm4ubnlO1+1alXmzZtXKEEJIYQQQgghhBDin0XnBEVqaiqlSpXKd97W1parV68WSlDi7XJxcWHatGlFHYYQQgghhBBCCKHQOUHh6OjIzp07853fuXMnDg4OhRKUeLv27dun9RoiT548oX///pQoUQJzc3Pat2/PtWvXlPJbt27RrFkzHBwcMDY2xtHRkaCgINLS0t5W+EIIIYQQr+19eVCjUqn45ZdftK7fvXt32rVr99r9+fj4MGjQoNe+XgghCoPOCYrevXszaNAgFi5cyIULF7hw4QIxMTEMHjyY3r17v40YRSGztbXF1NRUq7qDBw9m7dq1/Pzzz2zfvp0rV67wr3/9SynX09Ojbdu2/Pbbb5w8eZJFixaxefNmAgIC3lb4QgghhBCvTZcHNUXp6tWrNG/evKjDeG+sXr2apk2bUqJECVQqFYmJifnq/Oc//8HHx4dixYqhUqm4e/fuK9t1cXFBpVLle/Xv3x+A8+fPF1iuUqn4+eeflXbi4uKoV68eFhYW2NvbM2LECLKysgrr9oX4YOi8SOawYcO4desWgYGBZGRkAGBiYsKIESMYOXJkoQcodOfj48NHH30EwNKlSzE0NKRfv36MGzcOlUqFi4sLgwYNemWW/N69eyxYsIDY2FgaN24MwMKFC6lcuTIJCQnUrVsXKysr+vXrp1zj7OxMYGAgU6ZMeWv3J4QQQgjxumxtbYs6BK3Y29sXdQh/i4yMDIyMjN64nYcPH9KgQQM6der0woemjx49olmzZjRr1ozg4GCt2t23bx/Z2dnK8dGjR/n000/p2LEj8HR0+fPT3P/zn/8wZcoUJcF06NAhWrRowahRo1iyZAmXL18mICCA7Oxspk6d+jq3K8QHS+cRFCqVivDwcG7cuEFCQgKHDh3i9u3bjBkzhpycnLcRo3gNixcvxsDAgL179zJ9+nSioqL44YcfdGpj//79ZGZm0qRJE+Wcm5sbTk5O7N69u8Brrly5wurVq/nkk0/eKH4hhBBCCF35+PgQFBREUFAQlpaW2NjYEBISQm5urlJHlykeUVFRuLu7Y2ZmhqOjI4GBgTx48ECjzs6dO/Hx8cHU1BQrKyv8/Py4c+cOADk5OURERFChQgWMjY1xcnJiwoQJWvX9/BSPI0eO0LhxY9RqNSVKlKBPnz75YgEICwvD1taWYsWKERAQoDxQ1EZOTg7Dhw/H2toae3t7QkNDNcpTUlJo27Yt5ubmFCtWjE6dOmlM/S1omsmgQYPw8fFRjvN+RoMGDcLGxgY/Pz9yc3MJDQ3FyckJY2NjHBwc+Prrr7WOG6BLly6MGTNG43Pr8wYNGsTIkSOpW7eu1u3a2tpib2+vvNatW0f58uWVz7r6+voa5fb29qxZs4ZOnTphbv5097mVK1fi4eHBmDFjqFChAp988gkRERHMnj2b+/fv63SfQnzodE5Q5DE3N6d27dp89NFHXLhwgREjRlCmTJnCjE28AUdHR6Kjo6lUqRL+/v4MGDCA6OhondpITU3FyMiI4sWLa5y3s7MjNTVV41znzp0xNTWldOnSFCtWTOdkiBBCCCFEYSiMhzR59PT0mDFjBseOHWPx4sVs2bKF4cOHK+WJiYn4+vpSpUoVdu/ezY4dO2jdurXyxD04OJjJkycTEhLC8ePHiY2Nxc7OTuc4Hj58iJ+fH1ZWVuzbt4+ff/6ZzZs3ExQUpFEvLi6OpKQktm3bxvLly1m9ejVhYWFa97N48WLMzMzYs2cPERERjBs3jk2bNgFPkxdt27bl9u3bbN++nU2bNnH27Fk+//xzne9n8eLFGBkZsXPnTubNm8eqVauIjo5m/vz5nDp1il9++QV3d3elfmhoKC4uLjr3U9gyMjL48ccf6dmzJyqVqsA6+/fvJzExkV69einn0tPTMTEx0ainVqt58uQJ+/fvf6sxC/G+0XmKR55Hjx6xcuVKYmJi2L17N7Vq1WLIkCGFGZt4A3Xr1tX4xenl5UVkZKTGELXCFB0dzdixYzl58iTBwcEMGTKEOXPmvJW+hBBCCCFeJO8hjUqlolKlShw5coTo6OjXWivt2emwLi4ufPfddwQEBCifcSIiIqhVq5bGZ56qVasCcP/+faZPn86sWbPo1q0bAOXLl6dBgwY6xxEbG8uTJ09YsmQJZmZmAMyaNYvWrVsTHh6uJD2MjIyIiYnB1NSUqlWrMm7cOIYNG8b48ePR03v1c0kPDw/Gjh0LgKurK7NmzSIuLo5PP/2UuLg4jhw5wrlz53B0dARgyZIlVK1alX379lG7dm2t78fV1ZWIiAjleP369djb29OkSRMMDQ1xcnLC09NTKbexsaF8+fJat/+2/PLLL9y9e5fu3bu/sM6CBQuoXLky9erVU875+fkxbdo0li9fTqdOnUhNTWXcuHEAsguiEM/ReQRFQkICX331FaVKlSIqKordu3ezdetWEhISGDZs2NuIURQRe3t7MjIy8i0gdO3atXzzIu3t7XFzc6NNmzbMnz+fuXPnyi9cIYQQQvztCnpIc+rUqdd6SLN582Z8fX0pXbo0FhYWdOnShVu3bvHo0SPg/0dQFCQpKYn09PQXlusiKSmJatWqKckJgPr165OTk0NycrJyrlq1ahoLoXt5efHgwQMuXryoVT8eHh4ax6VKleL69etKDI6OjkpyAqBKlSoUL16cpKQkne6nZs2aGscdO3bk8ePHlCtXjt69e7NmzRqNBSSDgoKIi4vTqY+3YcGCBTRv3vyFOxc+fvyY2NhYjdETAE2bNmXKlCkEBARgbGxMxYoVadGiBYBWiSMh/km0/j8iMjKSqlWr0qFDB6ysrIiPj+fIkSOoVCpKlCjxNmMUr2HPnj0axwkJCbi6uqKvr691GzVr1sTQ0FDjD0JycjIpKSl4eXm98Lq8tUjS09N1jFoIIYQQ4t1w/vx5WrVqhYeHB6tWrWL//v3Mnj0bQFnXQa1Wv/D6l5W9qwwNDTWOVSqVTmvM6enpaaz3AZCZmZmv3rOJFng66iU5OZk5c+agVqsJDAzE29u7wGuLyoULF9i8eTNfffXVC+v897//5dGjR3Tt2jVf2ZAhQ7h79y4pKSncvHmTtm3bAlCuXLm3FrMQ7yOtExQjRoygXbt2XLhwgSlTplCtWrW3GZd4QykpKQwZMoTk5GSWL1/OzJkzGThwoE5tWFpa0qtXL4YMGcLWrVvZv38/PXr0wMvLS1lcaMOGDSxcuJCjR49y/vx51q9fT0BAAPXr138n5goKIYQQ4p+lMB7SwNO1BHJycoiMjKRu3bpUrFiRK1euaNTx8PB44ZN9V1dX1Gp1oTz5r1y5MocOHeLhw4fKuZ07d6Knp0elSpWUc4cOHeLx48fKcUJCAubm5hqjHt4khosXL2qMxjh+/Dh3796lSpUqwNMFJZ8fQVvQdp8FUavVtG7dmhkzZrBt2zZ2797NkSNH3jjuwrJw4UJKlixJy5YtX1hnwYIFtGnT5oU7xahUKhwcHFCr1SxfvhxHR0c+/vjjtxWyEO8lrRMU48eP5+eff6Zs2bKMGDGCo0ePvs24xBvq2rUrjx8/xtPTk/79+zNw4MDX2vM7OjqaVq1a0b59e7y9vbG3t2f16tVKuVqt5vvvv6dBgwZUrlyZwYMH06ZNG9atW1eYtyOEEEIIoZXCeEgDUKFCBTIzM5k5cyZnz55l6dKlzJs3T6NOcHAw+/btIzAwkMOHD3PixAnmzp3LzZs3MTExYcSIEQwfPpwlS5Zw5swZEhISWLBggc6x+Pv7Y2JiQrdu3Th69Chbt25lwIABdOnSRWPRzYyMDHr16sXx48fZsGEDY8eOJSgoqFCmETRp0gR3d3f8/f05cOAAe/fupWvXrnzyySfUqlULgMaNG/O///2PJUuWcOrUKcaOHavVd4ZFixaxYMECjh49ytmzZ/nxxx9Rq9U4OzsDT9fbeNVUmdu3b5OYmMjx48eBp6N+ExMTNRZ2T01NJTExkdOnTwNPd0ZJTEzk9u3bL207JyeHhQsX0q1bNwwMCl7C7/Tp08THx79whMWUKVM4cuQIx44dY/z48UyePJkZM2bonDgT4kOn9W+r4OBgTp48ydKlS0lNTaVOnTpUq1aN3NxcZSsl8e4wNDRk7ty53Lt3j9u3bzNhwgRlPub58+c1Fn16GRMTE2bPns3t27d5+PAhq1ev1lh/olGjRuzatYu7d+/y+PFjTp48yeTJk/Pt/CGEEEII8XcorIc01apVIyoqivDwcD766COWLVvGpEmTNOpUrFiRP//8k0OHDuHp6YmXlxe//vqr8iU2JCSEoUOHMmbMGCpXrsznn3+urOmgC1NTU/744w9u375N7dq16dChA76+vsyaNUujnq+vL66urnh7e/P555/Tpk2bfFuFvi6VSsWvv/6KlZUV3t7eNGnShHLlyrFy5Uqljp+fHyEhIQwfPpzatWtz//79Aqc7PK948eJ8//331K9fHw8PDzZv3szatWuVaeQ3b97kzJkzL23jt99+o0aNGsoIhy+++IIaNWpoJJXmzZtHjRo1lAVTvb29qVGjBr/99ptSx8fHJ98imJs3byYlJYWePXu+sP+YmBjKlClD06ZNCyz//fffadiwIbVq1WL9+vX8+uuv+bZkFUKAKvf5iWJaun//PrGxscTExLB//348PT3p0KGD7OTxDvDx8aF69epa7/H9rktLS8PS0pKwn+MxMTUv6nCEEEIIUciGt6hRKO18KJ+B8ral3LRpE02aNCnqcP5RnJ2dCQsLe+lOHUII3eV9p7t37x7FihV7Yb3XHu9lYWFB37592bNnDwcPHsTT05PJkye/bnOiCCxbtgxzc/MCX3lbZAkhhBBCiL9PWloay5cvR09PDzc3t6IO5x/l2LFjWFpaajXqQwjxdhQ8iUpH7u7uTJs2jSlTphRGc+INbdu2Tat6bdq0oU6dOgWWPb+KsxBCCCHEh2TZsmX07du3wDJnZ2eOHTv21vqeOHEiEydOLLCsdu3aHD9+nPDwcMqUKVMo/aWkpCgLWRbk+PHjODk5FUpf77OqVaty+PDhog5DiH+0157iIcTfRaZ4CCGEEB+2wprioYv79+9z7dq1AssMDQ2VBRrfhtu3b79wYUa1Wk3p0qULtb+srCzOnz//wnIXF5cXLv4ohBCFQdspHvKbSLxT0tPTSU9P1ziXlpZWRNEIIYQQ4kNlYWGBhYVFkfRtbW2NtbX139afgYEBFSpU+Nv6E0KI1/Xmew4JUYgmTZqEpaWlxqsw9u4WQgghhBBCCPFukwSFeKcEBwdz7949jdfFixeLOiwhhBBCfCBcXFze+10+3jUqlYpffvmlqMMQQnwAtE5QpKWlafUS2snMzGT+/PkMHTqU8PDwog7nnWFsbEyxYsXyvYQQQgghCsO+ffvo06dPUYch3hHnz5+nV69elC1bFrVaTfny5Rk7diwZGRlaXZ+bm0vz5s0LTNJ8/fXX1KxZE2NjY6pXr65Vey4uLqhUKlasWJGvrGrVqqhUKhYtWqRVW0K8j7Reg6J48eKoVKoXlufm5qJSqcjOzi6UwN5FS5cupWLFitSpU4ewsDD69++PjY3Na7V14MABrl27xuTJkwvcMePkyZPMnz+fyMhIjfPr1q3j0qVLBAQEvFa/b8v333/PmTNnyMjIwMzMjHr16tG8efOiDksIIYQQQoOtrW1Rh/BWZGRkYGRkVNRh/K0yMzPfeOe5EydOkJOTw/z586lQoQJHjx6ld+/ePHz4kKlTp77y+mnTpr30O1LPnj3Zs2ePTruDODo6snDhQr744gvlXEJCAqmpqZiZmWndjhDvI61HUGzdupUtW7a88JVX/iG7cOECzs7OPH78mIcPH752cgLg1q1blCxZ8p3YzjM3N5ecnJw3aqNFixaMHz+eqKgoBg8ezL59+9izZ08hRSiEEEII8Wo+Pj4EBQURFBSEpaUlNjY2hISE8OymdbpM8YiKisLd3R0zMzMcHR0JDAzkwYMHGnV27tyJj48PpqamWFlZ4efnx507dwDIyckhIiKCChUqYGxsjJOTExMmTHhlv/Xq1WPEiBEa527cuIGhoSHx8fHKfYwfP56uXbtSrFgxZVTIiBEjqFixIqamppQrV46QkBAyMzOVdkJDQ6levToxMTE4OTlhbm5OYGAg2dnZREREYG9vT8mSJbWK81k3b97ks88+w9TUFFdXV3777TeN8u3bt+Pp6YmxsTGlSpVi5MiRZGVlKeUF/VyqV69OaGiocqxSqZg7dy5t2rTBzMyMCRMmcOfOHfz9/bG1tUWtVuPq6srChQu1jrtZs2YsXLiQpk2bUq5cOdq0acM333zD6tWrX3ltYmIikZGRxMTEFFg+Y8YM+vfvT7ly5bSOB8Df35/t27drTHOOiYnB399fdlsRHzyt/wv/5JNP3mYc77z09HTu3r2LnZ0dycnJWu0VvWfPHjZu3EhaWhoODg507NgRJycnVq1axbZt28jNzWXw4MH4+vrSqlUrnWPKzMxkxYoVHD58mOzsbKysrOjSpQsuLi7k5uaybds24uPjSUtLo0yZMnzxxReUKlUKgNGjR9OgQQMOHz7M5cuXGT58OJcvX2b9+vWkpaVhYmJCw4YNadGihVaxPL8dlkql4saNGzrfkxBCCCHEm1i8eDG9evVi7969/O9//6NPnz44OTnRu3dvndvS09NjxowZlC1blrNnzxIYGMjw4cOZM2cO8PQLqq+vLz179mT69OkYGBiwdetWZURxcHAw33//PdHR0TRo0ICrV69y4sSJV/br7+9PREQEkydPVp7Or1y5EgcHBxo2bKjUmzp1KmPGjGHs2LHKOQsLCxYtWoSDgwNHjhyhd+/eWFhYMHz4cKXOmTNn+P3339m4cSNnzpyhQ4cOnD17looVK7J9+3Z27dpFz549adKkCXXq1NHqvQoLCyMiIoIpU6Ywc+ZM/P39uXDhAtbW1ly+fJkWLVrQvXt3lixZwokTJ+jduzcmJiYaCQhthIaGMnnyZKZNm4aBgQEhISEcP36c33//HRsbG06fPs3jx4+V+j4+Pri4uOg0LeLevXuv3GXl0aNHfPnll8yePRt7e3ud7uFV7Ozs8PPzY/HixYwePZpHjx6xcuVKtm/fzpIlSwq1LyHeNVonKHJycpgyZQq//fYbGRkZ+Pr6MnbsWNRq9duMr8gdPHiQH3/8kZycHDIzM/nmm2+UbO/QoUNp0qRJgVMZTp06xYoVKwgMDKRcuXJs376dWbNmERYWRvv27TE2Nn7jqRp79uzh0qVLhIWFoVaruX79ujIiIz4+nl27dtGvXz9KlChBfHw88+bNIyQkRMm8JiQk0K9fP2xtbUlPT2fSpEkMHDgQV1dXHj16xPXr15W+vvvuO/z8/Khdu/YL41m+fDkJCQlkZmZibW1N3bp1X/vehBBCCCFeh6OjI9HR0ahUKipVqsSRI0eIjo5+rQTFoEGDlH+7uLjw3XffERAQoCQoIiIiqFWrlnIMT9cJALh//z7Tp09n1qxZdOvWDYDy5cvToEGDV/bbqVMnBg0axI4dO5SERGxsLJ07d9aYTtC4cWOGDh2qce3o0aM1Yv7mm29YsWKFRoIiJyeHmJgYLCwsqFKlCo0aNSI5OZkNGzagp6dHpUqVCA8PZ+vWrVonKLp3707nzp0BmDhxIjNmzGDv3r00a9aMOXPm4OjoyKxZs1CpVLi5uXHlyhVGjBjBmDFj0NPTft3+L7/8kh49eijHKSkp1KhRg1q1ain3/CwnJyflAZ02Tp8+zcyZM185vWPw4MHUq1ePtm3bat22Lnr27MnQoUMZNWoU//3vfylfvrzW61gI8T7TOkExYcIEQkNDadKkCWq1munTp3P9+vUXDmn6UNSoUYMaNWqwdu1aDAwMaN68OdOnT6d58+ZUrFjxhdft3bsXT09PXF1dgad/QOLj4zl69OhLv+TrQl9fn/T0dFJTU3FxccHOzk4pi4+Pp02bNpQsWRKARo0a8eeff3L+/HllH2xvb2/lGj09PfT19UlNTaVMmTKYmppq/IJ/9o/di3Tu3JnPP/+cixcvcvjwYUxNTQvlPoUQQgghtFW3bl2NL/FeXl5ERkaSnZ2Nvr6+Tm1t3ryZSZMmceLECdLS0sjKyuLJkyc8evQIU1NTEhMT6dixY4HXJiUlkZ6ejq+vr873YGtrS9OmTVm2bBkNGzbk3Llz7N69m/nz52vUy/tS/qyVK1cyY8YMzpw5w4MHD8jKysq34LiLiwsWFhbKsZ2dHfr6+hqJAjs7O42HVa/i4eGh/NvMzIxixYop1yclJeHl5aXxc6lfvz4PHjzg0qVLWo1MzvP8Pffr14/27dtz4MABmjZtSrt27ahXr55SrsuIg8uXL9OsWTM6duz40oTWb7/9xpYtWzh48KDWbeuqZcuW9O3bl/j4eGJiYujZs+db60uId4nW6colS5YwZ84c/vjjD3755RfWrl3LsmXL3njtgvfFqVOncHV1JTs7m4sXL1K2bNmX1r9z5w4lSpTQOGdjY6PMSXwVfX39AhccffaPq6enJ3Xr1mX58uUMHz6cJUuWKPMib926xaJFixg6dKjyevTokUb/VlZWyr+NjY3p168fhw8fZtSoUURGRpKcnKxVrM/S09PD2dkZExMTrebuCSGEEEK8i86fP0+rVq3w8PBg1apV7N+/n9mzZwMoOzy8bCTxm44y9vf357///S+ZmZnExsbi7u6Ou7u7Rp3nF0zcvXs3/v7+tGjRgnXr1nHw4EFGjRqVb0eK59dAU6lUBZ7T5XP+m16vp6ensVYIoLF2Rp7n77l58+ZcuHCBwYMHc+XKFXx9ffnmm2+07jfPlStXaNSoEfXq1eM///nPS+tu2bKFM2fOULx4cQwMDJTRye3bt8fHx0fnvgtiYGBAly5dGDt2LHv27MHf379Q2hXiXaf1CIqUlBSN9QiaNGmCSqXiypUrlClT5q0EV9QyMzMZOXIkAE+ePGHu3LnKVI+RI0fi4OCQb1hdHisrK27duqVx7tatWxpJgZextrYmIyOD+/fva2S4b968qSQ+9PX1adasGc2aNSMtLY2YmBjWr1/P559/jpWVFR06dFCGGRbk+RWH3dzccHNzIzs7m+3btzN//nymTp2q07C7PNnZ2Tpl3YUQQgghCsPzi3QnJCTg6uqq8+iJ/fv3k5OTQ2RkpPJZ6KefftKo4+HhQVxcHGFhYfmud3V1Ra1WExcXx1dffaXjXUDbtm3p06cPGzduJDY2lq5du77yml27duHs7MyoUaOUcxcuXNC578JWuXJlVq1apez6B08XF7WwsFC+R9ja2nL16lXlmrS0NM6dO6dV+7a2tnTr1o1u3brRsGFDhg0bptUOHHkuX75Mo0aNqFmzJgsXLnzlZ9+RI0fm+5m6u7sTHR1N69atte73VXr27MnUqVOVz/ZC/BNo/c0zKysLExMTjXOGhoYFZjY/FIaGhkRGRtKrVy/c3d2JjIykcePGtG7dmsjIyBcmJwBq167Nvn37OHPmDNnZ2WzdupWHDx++NGHwLCsrK1xdXVm1ahWPHj0iOzubo0ePcvjwYWVoW3JyMhcvXiQ7OxsjIyMMDQ2VP77e3t6sW7eOa9euAfD48WMOHTrEkydPCuwvLS2NxMREnjx5gp6eHmq1Wus/5Ldu3eLgwYM8efKEnJwczpw5w7Zt26hSpYpW1wshhBBCFJaUlBSGDBlCcnIyy5cvZ+bMmQwcOFDndipUqEBmZiYzZ87k7NmzLF26lHnz5mnUCQ4OZt++fQQGBnL48GFOnDjB3LlzuXnzJiYmJowYMUIZ5XrmzBkSEhJYsGCBVv2bmZnRrl07QkJCSEpKUtZ3eBlXV1dSUlJYsWIFZ86cYcaMGaxZs0bney9sgYGBXLx4kQEDBnDixAl+/fVXxo4dy5AhQ5RkQOPGjVm6dCl//fUXR44coVu3blp9Fh0zZgy//vorp0+f5tixY6xbt47KlSsr5V27diU4OPiF11++fBkfHx+cnJyYOnUqN27cIDU1ldTUVI06bm5u7N27FwB7e3s++ugjjRc8Xe/i2VHWp0+fJjExkdTUVB4/fkxiYiKJiYn5RrS8SOXKlbl586ZOu5II8b7TegRFbm4u3bt3x9jYWDn35MkTAgICNIZafYjD+hMTE5UhdYcPH6ZXr16vvKZixYp06tSJH3/8kXv37uHg4ED//v11WpehZ8+erFmzhvHjx5ORkYGtrS29evVS5umlpaWxYsUK7t69i6GhIW5ubsooFx8fH/T09PjPf/7DnTt3MDY2pnz58lSqVKnAvnJzc9m6dStLly4lNzeXkiVL8tVXXyl/NMaPH4+fnx+enp4FXr9lyxZ+/PFHcnNzsbS05JNPPqFp06Za36sQQgghRGHo2rUrjx8/xtPTE319fQYOHKhswamLatWqERUVRXh4OMHBwXh7ezNp0iSNkQwVK1bkzz//5Ntvv8XT0xO1Wk2dOnWUZELe4uRjxozhypUrlCpVSqcF0vOma3h7e2u1TkObNm0YPHgwQUFBpKen07JlS0JCQnTeKaOwlS5dmg0bNjBs2DCqVauGtbU1vXr10ljjLDg4mHPnztGqVSssLS0ZP368ViMojIyMCA4O5vz586jVaho2bMiKFSuU8pSUlJeOiNi0aROnT5/m9OnT+UaF5005yczMJDk5mUePHul031999RXbt29XjmvUqAHAuXPn8i3m+SLPTxkX4kOnyn1+stcLPLta7stIhk8UtrS0NCwtLQn7OR4TU/OiDkcIIYQQhWx4ixqF0o6Pjw/Vq1dn2rRphdKeEEKIwpH3ne7evXv5Fu59ltYjKCTxIIQQQgghhBBCiLdF99UPhRBCCCGEeM8tW7YMc3PzAl/arhn2uiZOnPjCvps3b/5W+9ZVUb5PQoh/Hq2neAhRVGSKhxBCCPFhK6wpHrq4f/++spj48wwNDXF2dn5rfd++fZvbt28XWKZWqylduvRb61tXRfk+CSE+HIU+xUMIIYQQQogPhYWFhcZW7n8na2trrK2ti6RvXRXl+ySE+OeRKR5CCCGEEEIIIYQocjKCQrw3BjWt9tLhQEIIIYQQQggh3l8ygkIIIYQQQgghhBBFThIUQgghhBBCCCGEKHKSoBBCCCGEEEIIIUSRkwSFEEIIIYQQQgghipwkKIQQQgghhBBCCFHkJEEhhBBCCCGEEEKIIicJCiGEEEIIIYQQQhQ5SVAIIYQQQgghhBCiyEmCQgghhBBCCCGEEEXOoKgDEEJbq/93BlNz86IOQwghhBDvoE6erkUdghBCiDckIyiEEEIIIYQQQghR5CRB8Q/k4uLCtGnTijoMIYQQQgghhBBCIQmKf6B9+/bRp08freo+efKE/v37U6JECczNzWnfvj3Xrl3TqKNSqfK9VqxY8TZCF0IIIYR4J7wvD3xUKhW//PKL1vW7d+9Ou3btXrs/Hx8fBg0a9NrXCyH+2SRB8Q9ka2uLqampVnUHDx7M2rVr+fnnn9m+fTtXrlzhX//6V756Cxcu5OrVq8rrTf6wCSGEEEK863R54FOUrl69SvPmzYs6jPdGaGgobm5umJmZYWVlRZMmTdizZ89Lr8nOziYkJISyZcuiVqspX74848ePJzc3t8D6AQEBqFSqfAmukydP0rZtW2xsbChWrBgNGjRg69athXVrQrwXJEHxAfLx8SEoKIigoCAsLS2xsbEhJCRE+SWpbcb/3r17LFiwgKioKBo3bkzNmjVZuHAhu3btIiEhQaNu8eLFsbe3V14mJiZv49aEEEIIId4JujzwKUr29vYYGxsXdRhvXUZGRqG0U7FiRWbNmsWRI0fYsWMHLi4uNG3alBs3brzwmvDwcObOncusWbNISkoiPDyciIgIZs6cma/umjVrSEhIwMHBIV9Zq1atyMrKYsuWLezfv59q1arRqlUrUlNTC+XehHgfSILiA7V48WIMDAzYu3cv06dPJyoqih9++EGnNvbv309mZiZNmjRRzrm5ueHk5MTu3bs16vbv3x8bGxs8PT2JiYl5YcZYCCGEEOJd96qHPaDbFI+oqCjc3d0xMzPD0dGRwMBAHjx4oFFn586d+Pj4YGpqipWVFX5+fty5cweAnJwcIiIiqFChAsbGxjg5OTFhwgSt+n5+iseRI0do3LgxarWaEiVK0KdPn3yxAISFhWFra0uxYsUICAjQKQGQk5PD8OHDsba2xt7entDQUI3ylJQU2rZti7m5OcWKFaNTp04aU4gLmmYyaNAgfHx8lOO8n9GgQYOwsbHBz8+P3NxcQkNDcXJywtjYGAcHB77++mut4wb48ssvadKkCeXKlaNq1apERUWRlpbG4cOHX3jNrl27aNu2LS1btsTFxYUOHTrQtGlT9u7dq1Hv8uXLDBgwgGXLlmFoaKhRdvPmTU6dOsXIkSPx8PDA1dWVyZMn8+jRI44eParTPQjxPpMExQfK0dGR6OhoKlWqhL+/PwMGDCA6OlqnNlJTUzEyMqJ48eIa5+3s7DQyuePGjeOnn35i06ZNtG/fnsDAwAIzxkIIIYQQ74vCeNiTR09PjxkzZnDs2DEWL17Mli1bGD58uFKemJiIr68vVapUYffu3ezYsYPWrVuTnZ0NQHBwMJMnTyYkJITjx48TGxuLnZ2dznE8fPgQPz8/rKys2LdvHz///DObN28mKChIo15cXBxJSUls27aN5cuXs3r1asLCwrTuZ/HixZiZmbFnzx4iIiIYN24cmzZtAp4mL9q2bcvt27fZvn07mzZt4uzZs3z++ec638/ixYsxMjJi586dzJs3j1WrVhEdHc38+fM5deoUv/zyC+7u7kr90NBQXFxctG4/IyOD//znP1haWlKtWrUX1qtXrx5xcXGcPHkSgEOHDrFjxw6NqTU5OTl06dKFYcOGUbVq1XxtlChRgkqVKrFkyRIePnxIVlYW8+fPp2TJktSsWVPrmIV43xkUdQDi7ahbty4qlUo59vLyIjIyUvlDV5hCQkKUf9eoUYOHDx8yZcoUnTPWQgghhBDviryHPSqVikqVKnHkyBGio6Pp3bu3zm09u2iki4sL3333HQEBAcyZMweAiIgIatWqpRwDypfY+/fvM336dGbNmkW3bt0AKF++PA0aNNA5jtjYWJ48ecKSJUswMzMDYNasWbRu3Zrw8HAl6WFkZERMTAympqZUrVqVcePGMWzYMMaPH4+e3qufb3p4eDB27FgAXF1dmTVrFnFxcXz66afExcVx5MgRzp07h6OjIwBLliyhatWq7Nu3j9q1a2t9P66urkRERCjH69evx97eniZNmmBoaIiTkxOenp5KuY2NDeXLl39lu+vWreOLL77g0aNHlCpVik2bNmFjY/PC+iNHjiQtLQ03Nzf09fXJzs5mwoQJ+Pv7K3XCw8MxMDB44edjlUrF5s2badeuHRYWFujp6VGyZEk2btyIlZWVNm+HEB8EGUEhXsje3p6MjAzu3r2rcf7atWvY29u/8Lo6depw6dIl0tPT33KEQgghhBBvR0EPe06dOvVaD3s2b96Mr68vpUuXxsLCgi5dunDr1i0ePXoE/P8IioIkJSWRnp7+wnJdJCUlUa1aNSU5AVC/fn1ycnJITk5WzlWrVk1jfQ0vLy8ePHjAxYsXterHw8ND47hUqVJcv35dicHR0VFJTgBUqVKF4sWLk5SUpNP9PD+yoGPHjjx+/Jhy5crRu3dv1qxZQ1ZWllIeFBREXFzcK9tt1KgRiYmJ7Nq1i2bNmtGpUycl/oL89NNPLFu2jNjYWA4cOMDixYuZOnUqixcvBp5Om54+fTqLFi3S+G/qWbm5ufTv35+SJUvy119/sXfvXtq1a0fr1q25evWqNm+HEB8ESVB8oJ5fbTghIQFXV1f09fW1bqNmzZoYGhpq/CJPTk4mJSUFLy+vF16XmJiIlZXVP2JBJiGEEEKIlzl//jytWrXCw8ODVatWsX//fmbPng38/8KOarX6hde/rOxd9fz6CiqVipycHK2v19PTy7eeWWZmZr56zyZa4Omol+TkZObMmYNarSYwMBBvb+8Cr30ZMzMzKlSoQN26dVmwYAEGBgYsWLDghfWHDRvGyJEj+eKLL3B3d6dLly4MHjyYSZMmAfDXX39x/fp1nJycMDAwwMDAgAsXLjB06FBlysmWLVtYt24dK1asoH79+nz88cfKfeQlOoT4J5AExQcqJSWFIUOGkJyczPLly5k5cyYDBw7UqQ1LS0t69erFkCFD2Lp1K/v376dHjx54eXlRt25dANauXcsPP/zA0aNHOX36NHPnzmXixIkMGDDgbdyWEEIIIcTfojAe9sDTp+c5OTlERkZSt25dKlasyJUrVzTqeHh4vPDJvqurK2q1Wqsn/69SuXJlDh06xMOHD5VzO3fuRE9Pj0qVKinnDh06xOPHj5XjhIQEzM3NNUY9vEkMFy9e1BiNcfz4ce7evUuVKlWApzukPD9qIDExUav21Wo1rVu3ZsaMGWzbto3du3dz5MiRN4o5JyfnpSODHz16lG/qi76+vpKU6dKlC4cPHyYxMVF5OTg4MGzYMP744w+lDSBfO3p6ejold4R438kaFB+orl278vjxYzw9PdHX12fgwIGvtVd3dHQ0enp6tG/fnvT0dPz8/DTmRxoaGjJ79mwGDx5Mbm4uFSpUICoq6rXmZwohhBBCvCvyHvb07duXAwcOMHPmTCIjI3Vup0KFCmRmZjJz5kxat26tLOj4rODgYNzd3QkMDCQgIAAjIyO2bt1Kx44dsbGxYcSIEQwfPhwjIyPq16/PjRs3OHbsGL169dIpFn9/f8aOHUu3bt0IDQ3lxo0bDBgwgC5dumgsupmRkUGvXr0YPXo058+fZ+zYsQQFBWm1/sSrNGnSBHd3d/z9/Zk2bRpZWVkEBgbyySefUKtWLQAaN27MlClTWLJkCV5eXvz4448cPXqUGjVqvLTtRYsWkZ2dTZ06dTA1NeXHH39ErVbj7OwMPF1vY82aNS9M9jx8+JAJEybQpk0bSpUqxc2bN5k9ezaXL1+mY8eOL+y3devWTJgwAScnJ6pWrcrBgweJioqiZ8+ewNMFMEuUKKFxjaGhIfb29kpiyMvLCysrK7p168aYMWNQq9V8//33nDt3jpYtW2r35grxAZAExQfK0NCQadOmMXfu3Hxl58+f17odExMTZs+erQxFfF6zZs1o1qzZ64YphBBCCPFOKqyHPdWqVSMqKorw8HCCg4Px9vZm0qRJdO3aValTsWJF/vzzT7799ls8PT1Rq9XUqVOHzp07A08XJDcwMGDMmDFcuXKFUqVKERAQoHMspqam/PHHHwwcOJDatWtjampK+/btiYqK0qjn6+uLq6sr3t7epKen07lz53xbhb4ulUrFr7/+yoABA/D29kZPT49mzZpp7ADn5+dHSEgIw4cP58mTJ/Ts2ZOuXbu+ciRE8eLFmTx5MkOGDCE7Oxt3d3fWrl2rJAdu3rzJmTNnXni9vr4+J06cYPHixdy8eZMSJUpQu3Zt/vrrL42dN3x8fHBxcWHRokUAzJw5k5CQEAIDA7l+/ToODg707duXMWPGaP2+2NjYsHHjRkaNGkXjxo3JzMykatWq/Prrry/dQUSID40q9/kJXuK95+PjQ/Xq1bXem/tdl5aWhqWlJQvjDmBqbl7U4QghhBDiHdTJ07XQ2vpQPkulp6djYmLCpk2baNKkSVGH88FwdnYmLCyM7t27F3UoQrw38r7T3bt3j2LFir2wnqxB8Q+2bNkyzM3NC3wVtD+zEEIIIYR4P6SlpbF8+XL09PRwc3Mr6nA+GMeOHcPS0lJjBIwQovDIFI8P0LZt27Sq16ZNG+rUqVNg2fOrLwshhBBCiPyWLVtG3759Cyxzdnbm2LFjb63viRMnMnHixALLateuzfHjxwkPD6dMmTKF0l9KSoqykGVBjh8/jpOTU6H09a6qWrUqhw8fLuowhPhgyRQP8U5JT0/Pt0pyWloajo6OMsVDCCGEEC9UmFM8dHH//n2uXbtWYJmhoaGyQOPbcPv2bW7fvl1gmVqtpnTp0oXaX1ZW1kvXMnNxccHAQJ5/CiHy03aKh/wGEe+USZMmERYWVtRhCCGEEEJoxcLCAgsLiyLp29raGmtr67+tPwMDAypUqPC39SeE+OeRNSjEOyU4OJh79+5pvJ7dJ1sIIYQQQgghxIdJEhTinWJsbEyxYsXyvYQQQggh3iUuLi7v/S4f7xqVSsUvv/xS1GEIIYqQJCiKSGZmJvPnz2fo0KGEh4cXdThCCCGEEEIH+/bto0+fPkUdhniHuLi4oFKpNF6TJ0/WqPPTTz9RvXp1TE1NcXZ2ZsqUKRrlq1ev5tNPP8XW1pZixYrh5eXFH3/88cq+c3NzmTp1KhUrVsTY2JjSpUszYcIEjTrp6emMGjUKZ2dnjI2NcXFxISYmRqPvWrVqUbx4cczMzKhevTpLly59g3dECN3JGhQ6WLp0KRUrVqROnTqEhYXRv39/bGxsXqutAwcOcO3aNSZPnlzgjhknT55k/vz5REZGapxft24dly5dIiAg4LX6fVuio6M5d+4c+vr6yrmxY8dSvHjxogtKCCGEEOItsbW1LeoQ3oqMjAyMjIyKOoy/VWZmZqHtYDdu3Dh69+6tHD+7Psnvv/+Ov78/M2fOpGnTpiQlJdG7d2/UajVBQUEAxMfH8+mnnzJx4kSKFy/OwoULad26NXv27KFGjRov7HfgwIH8+eefTJ06FXd39wIXUO3UqRPXrl1jwYIFVKhQgatXr5KTk6OUW1tbM2rUKNzc3DAyMmLdunX06NGDkiVL4ufnVyjvjxCvIiModHDhwgWcnZ15/PgxDx8+fO3kBMCtW7coWbLkO7GdZ25ursYvp9fVrl07oqOjlZckJ4QQQgjxPvLx8SEoKIigoCAsLS2xsbEhJCSEZze/02WKR1RUFO7u7piZmeHo6EhgYCAPHjzQqLNz5058fHwwNTXFysoKPz8/7ty5A0BOTg4RERFUqFABY2NjnJyc8j0dL0i9evUYMWKExrkbN25gaGhIfHy8ch/jx4+na9euFCtWTBkVMmLECCpWrIipqSnlypUjJCSEzMxMpZ3Q0FCqV69OTEwMTk5OmJubExgYSHZ2NhEREdjb21OyZEmt4nzWzZs3+eyzzzA1NcXV1ZXffvtNo3z79u14enpibGxMqVKlGDlyJFlZWUp5QT+X6tWrExoaqhyrVCrmzp1LmzZtMDMzY8KECdy5cwd/f39sbW1Rq9W4urqycOFCnWKHpwkJe3t75WVmZqaULV26lHbt2hEQEEC5cuVo2bIlwcHBhIeHK/9tTZs2jeHDh1O7dm1cXV2ZOHEirq6urF279oV9JiUlMXfuXH799VfatGlD2bJlqVmzJp9++qlSZ+PGjWzfvp0NGzbQpEkTXFxc8PLyon79+kodHx8fPvvsMypXrkz58uUZOHAgHh4e7NixQ+f3QYjXJSMotJSens7du3exs7MjOTlZqz2e9+zZw8aNG0lLS8PBwYGOHTvi5OTEqlWr2LZtG7m5uQwePBhfX19atWqlc0yZmZmsWLGCw4cPk52djZWVFV26dMHFxYXc3Fy2bdtGfHw8aWlplClThi+++IJSpUoBMHr0aBo0aMDhw4e5fPkyw4cP5/Lly6xfv560tDRMTExo2LAhLVq00DkuIYQQQoj33eLFi+nVqxd79+7lf//7H3369MHJyUnj6bi29PT0mDFjBmXLluXs2bMEBgYyfPhw5syZA0BiYiK+vr707NmT6dOnY2BgwNatW8nOzgaeLiL+/fffEx0dTYMGDbh69SonTpx4Zb/+/v5EREQwefJkVCoVACtXrsTBwYGGDRsq9aZOncqYMWMYO3ascs7CwoJFixbh4ODAkSNH6N27NxYWFgwfPlypc+bMGX7//Xc2btzImTNn6NChA2fPnqVixYps376dXbt20bNnT5o0aUKdOnW0eq/CwsKIiIhgypQpzJw5E39/fy5cuIC1tTWXL1+mRYsWdO/enSVLlnDixAl69+6NiYmJRgJCG6GhoUyePJlp06ZhYGBASEgIx48f5/fff8fGxobTp0/z+PFjpb6Pjw8uLi4sWrTope1OnjyZ8ePH4+TkxJdffsngwYOVrVfT09MxNTXVqK9Wq7l06RIXLlzAxcUlX3s5OTncv3//pbu1rF27luPzlewAAK45SURBVHLlyrFu3TqaNWtGbm4uTZo0ISIiQrnut99+o1atWkRERLB06VLMzMxo06YN48ePR61W52szNzeXLVu2kJycLNPRxd9KEhSvcPDgQX788UdycnLIzMzkm2++UbK0Q4cOpUmTJjRv3jzfdadOnWLFihUEBgZSrlw5tm/fzqxZswgLC6N9+/YYGxu/8VSNPXv2cOnSJcLCwlCr1Vy/fl0ZkREfH8+uXbvo168fJUqUID4+nnnz5hESEqL8kkxISKBfv37Y2tqSnp7OpEmTGDhwIK6urjx69Ijr168rfX333Xf4+flRu3btF8bz+++/s2HDBqytrWncuDF169Z97XsTQgghhChKjo6OREdHo1KpqFSpEkeOHCE6Ovq1EhSDBg1S/u3i4sJ3331HQECAkqCIiIigVq1ayjFA1apVAbh//z7Tp09n1qxZdOvWDYDy5cvToEGDV/bbqVMnBg0axI4dO5SERGxsLJ07d1YSFgCNGzdm6NChGteOHj1aI+ZvvvmGFStWaCQocnJyiImJwcLCgipVqtCoUSOSk5PZsGEDenp6VKpUifDwcLZu3ap1gqJ79+507twZgIkTJzJjxgz27t1Ls2bNmDNnDo6OjsyaNQuVSoWbmxtXrlxhxIgRjBkzBj097QeHf/nll/To0UM5TklJoUaNGtSqVUu552c5OTkpD/pe5Ouvv+bjjz/G2tqaXbt2ERwczNWrV4mKigLAz8+PwYMH0717dxo1asTp06eV6dxXr14tMEExdepUHjx4QKdOnV7Y79mzZ7lw4QI///wzS5YsITs7m8GDB9OhQwe2bNmi1NmxYwcmJiasWbOGmzdvEhgYyK1btzRGity7d4/SpUuTnp6Ovr4+c+bM0RiJIcTbJgmKV6hRowY1atRg7dq1GBgY0Lx5c6ZPn07z5s2pWLHiC6/bu3cvnp6euLq6Ak9/8cfHx3P06NGXfsnXhb6+Punp6aSmpuLi4oKdnZ1SFh8fT5s2bShZsiQAjRo14s8//+T8+fPK/tXe3t7KNXp6eujr65OamkqZMmUwNTXV+CX57B+pgrRt25ZSpUphZGREcnIyP/zwAyYmJlSvXr1Q7lUIIYQQ4u9Ut25djS/xXl5eREZGkp2drbHmljY2b97MpEmTOHHiBGlpaWRlZfHkyRMePXqEqakpiYmJdOzYscBrk5KSSE9Px9fXV+d7sLW1pWnTpixbtoyGDRty7tw5du/ezfz58zXq5X0pf9bKlSuZMWMGZ86c4cGDB2RlZeXbWc3FxUVjjQU7Ozv09fU1EgV2dnYaD71excPDQ/m3mZkZxYoVU65PSkrCy8tL4+dSv359Hjx4wKVLl7Qa4Zzn+Xvu168f7du358CBAzRt2pR27dpRr149pXzJkiWvbHPIkCEa92FkZETfvn2ZNGkSxsbG9O7dmzNnztCqVSsyMzMpVqwYAwcOJDQ0tMDkSmxsLGFhYfz666/KZ/qC5OTkkJ6ezpIlS5TvJwsWLKBmzZokJydTqVIlcnJyUKlULFu2DEtLS+Dp1KMOHTowZ84cZRSFhYUFiYmJPHjwgLi4OIYMGUK5cuXw8fF55f0LURhkDQotnTp1CldXV7Kzs7l48SJly5Z9af07d+5QokQJjXM2NjbKXMJX0dfXV4b1PevZP4qenp7UrVuX5cuXM3z4cJYsWaLMZ7x16xaLFi1i6NChyuvRo0ca/VtZWSn/NjY2pl+/fhw+fJhRo0YRGRlJcnKyVrEClCtXDrVajb6+PlWqVKFBgwbs379f6+uFEEIIIT5E58+fp1WrVnh4eLBq1Sr279/P7NmzgacLUgIFDrHP87Iybfj7+/Pf//6XzMxMYmNjcXd3x93dXaPOs+skAOzevRt/f39atGjBunXrOHjwIKNGjVLizfP8WmoqlarAc7qsdfam1+vp6WmsFQJorJ2R5/l7bt68ORcuXGDw4MFcuXIFX19fvvnmG637LUidOnXIysri/PnzwNN7CQ8P58GDB1y4cIHU1FQ8PT2Bp5+ln7VixQq++uorfvrpJ5o0afLSfkqVKoWBgYHGw9PKlSsDT0eG5NUpXbq0kpzIq5Obm8ulS5eUc3p6elSoUIHq1aszdOhQOnTowKRJk17/TRBCRzKC4iUyMzMZOXIkAE+ePGHu3LnKVI+RI0fi4OCQbzhcHisrK27duqVx7tatWxpJgZextrYmIyOD+/fva2Smb968qSQ+9PX1adasGc2aNSMtLY2YmBjWr1/P559/jpWVFR06dFCGBxbk2ewzgJubG25ubmRnZ7N9+3bmz5/P1KlTdRoul+d1rhFCCCGEeFfs2bNH4zghIQFXV1edR0/s37+fnJwcIiMjlc9HP/30k0YdDw8P4uLiCAsLy3e9q6srarWauLg4vvrqKx3v4uko1z59+rBx40ZiY2Pp2rXrK6/ZtWsXzs7OjBo1Sjl34cIFnfsubJUrV2bVqlXk5uYqn2N37tyJhYUFZcqUAZ6OGrl69apyTVpaGufOndOqfVtbW7p160a3bt1o2LAhw4YNY+rUqa8db2JiInp6evlGP+jr61O6dGkAli9fjpeXl8auMMuXL6dnz56sWLGCli1bvrKf+vXrk5WVxZkzZyhfvjzwdEdAAGdnZ6XOzz//zIMHDzA3N1fq6OnpKe9dQfJGZwjxd5FvkS9haGhIZGQkvXr1wt3dncjISBo3bkzr1q2JjIx8YXICoHbt2uzbt48zZ86QnZ3N1q1befjw4UsTBs+ysrLC1dWVVatW8ejRI7Kzszl69CiHDx9WhqQlJydz8eJFsrOzMTIywtDQUPmj6e3tzbp167h27RoAjx8/5tChQzx58qTA/tLS0khMTOTJkyfo6ekpoyG08ejRI44ePUpGRgY5OTmcOHGCv/7666VbIQkhhBBCvMtSUlIYMmQIycnJLF++nJkzZzJw4ECd26lQoQKZmZnMnDmTs2fPsnTpUubNm6dRJzg4mH379hEYGMjhw4c5ceIEc+fO5ebNm5iYmDBixAhltOyZM2dISEhgwYIFWvVvZmZGu3btCAkJISkpSVnf4WVcXV1JSUlhxYoVnDlzhhkzZrBmzRqd772wBQYGcvHiRQYMGMCJEyf49ddfGTt2LEOGDFGSP40bN2bp0qX89ddfHDlyhG7dumn1mXbMmDH8+uuvnD59mmPHjrFu3TplFAJA165dCQ4OfuH1u3fvZtq0aRw6dIizZ8+ybNkyBg8ezL///W/lAeXNmzeZN28eJ06cIDExkYEDB/Lzzz9r7DqSl0SKjIykTp06pKamkpqayr17917Yd5MmTfj444/p2bMnBw8eZP/+/fTt25dPP/1UGVXx5ZdfUqJECXr06MHx48eJj49n2P+xd99xVdX/A8dfl30B2SgOkFQQNVBTETQRR+JCS3OSmFqpiDlzJY7cA5xlljtR0lw5KkcqX7epCCqSuXDnBAciXM7vD3+cvIoKhl6x9/Px4FH3nM/5nPc58rjc+z6fz/vzxRd07txZHaUzbtw4Nm3axKlTp0hMTCQyMpIffviBjz766Ln3T4j8IiMociEuLk4dChcfH0+XLl2ee4ynpyetW7dm8eLFpKSkUKxYMXr06PFE5d5n6dy5M6tWrWLUqFE8ePAAZ2dnunTpos6vS01NJSYmhlu3bmFqaoqXl5e66kZgYCBGRkZ899133Lx5E3Nzc0qXLk3ZsmVzPJeiKGzdupUffvgBRVEoXLgwn3zyifpmP2rUKIKCgtRhaI/S6XRs2LCBefPmAQ9Hf7Rs2ZJ33nkn19cqhBBCCPE6CQ0NJS0tDV9fX4yNjenVq5e6BGdeVKxYkaioKCZMmMDgwYMJCAhg3LhxeiMZPD092bhxI0OGDMHX1xetVkv16tXVZEJ2kfNhw4Zx8eJFihYtmqdC69nTNQICAnJVp6FZs2b06dOH8PBw0tPTadKkCREREXleKSO/FS9enA0bNvDFF19QsWJFHBwc6NKli16ttMGDB3P69GmaNm2Kra0to0aNytUICjMzMwYPHsyZM2fQarXUqlWLmJgYdX9ycvIzRwibm5sTExPDiBEjSE9P56233qJPnz56dSng4eow/fv3R1EU/P392bZtm97n6++++47MzEx69OhBjx491O0dO3ZUVxBZsGABnTp1UqeyGBkZsXbtWnr27ElAQABWVlY0atRILcAJYG1tzaZNm+jZsydVq1bF0dGR1q1bM3r0aLXN3bt3CQsL4/z582i1Wry8vFi8eDFt2rR57v0TIr9olMcnaQnxmklNTcXW1pb5Ww5i+f9D0oQQQgghHtXa1yPf+goMDKRSpUp6T7aFeF0MHz6c7du3s23bNkOHIkSuZX+nS0lJeaLg7qNkBIUQQgghhBBCFBC//PILM2fONHQYQrwUUoNCCCGEEEKIFxQdHY21tXWOP7mtPfaixo4d+9RzN2rU6KWeO68MeZ/eNPv27ctx2rUQbwKZ4iFeezLFQwghhBDPk59TPPLi9u3balHyx5mamqqrKLwMN27c4MaNGznu02q16koRrwND3ichhOHJFA8hhBBCCCFeskKFCuktCf8qOTg44ODgYJBz55Uh75MQouCQKR5CCCGEEEIIIYQwOBlBIQqMFlVLP3M4kBBCCCGEEEKIgktGUAghhBBCCCGEEMLgJEEhhBBCCCGEEEIIg5MEhRBCCCGEEEIIIQxOEhRCCCGEEEIIIYQwOElQCCGEEEIIIYQQwuAkQSGEEEIIIYQQQgiDkwSFEEIIIYQQQgghDE4SFEIIIYQQQgghhDA4E0MHIERu7T1xBSvre4YOQwghhBCvqRplXQwdghBCiH9BRlAIIYQQQgghhBDC4CRBIYQQQgghhBBCCIOTBMV/kLu7O1OnTjV0GEIIIYQQQgghhEoSFP9B+/fv57PPPstV2/v379OjRw8cHR2xtramZcuWXLlyRd2/YMECNBpNjj9///33y7oEIYQQQgiDKygPfTQaDatXr851+48//pj333//hc8XGBhI7969X/h4IcR/lyQo/oOcnZ2xtLTMVds+ffqwdu1ali9fzvbt27l48SItWrRQ97dp04ZLly7p/QQFBVG7dm0KFy78si5BCCGEEMLg8vLQx5AuXbpEo0aNDB1GgTFixAi8vLywsrLC3t6e+vXrs3fvXr02zZo1w83NDQsLC4oWLUqHDh24ePGiXpv4+Hhq1aqFhYUFrq6uTJw48ZnnvX79Og0bNqRYsWKYm5vj6upKeHg4qampeu3S09P58ssvKVmyJObm5ri7uzNv3rz8uXghDEwSFG+gwMBAwsPDCQ8Px9bWFicnJyIiIlAUBch9tj8lJYW5c+cSFRVF3bp1qVKlCvPnz2fXrl3s2bMHAK1Wi4uLi/pjbGzM77//TpcuXV7mJQohhBBCGFxeHvoYkouLC+bm5oYO46V78OBBvvTj6enJzJkzSUhIYMeOHbi7u9OgQQOuXr2qtqlTpw7Lli0jKSmJFStWcPLkST788EN1f2pqKg0aNKBkyZIcOHCASZMmMWLECL777runntfIyIjmzZvz888/8+eff7JgwQI2b95Mt27d9Nq1bt2aLVu2MHfuXJKSkli6dClly5bNl2sXwtAkQfGGWrhwISYmJuzbt49p06YRFRXFnDlz8tTHgQMHyMjIoH79+uo2Ly8v3Nzc2L17d47HLFq0CEtLS703aCGEEEKIguZ5D3wgb1M8oqKi8Pb2xsrKCldXV8LCwrhz545em507dxIYGIilpSX29vYEBQVx8+ZNALKyspg4cSJlypTB3NwcNzc3xowZk6tzPz7FIyEhgbp166LVanF0dOSzzz57IhaAkSNH4uzsjI2NDd26dctTAiArK4sBAwbg4OCAi4sLI0aM0NufnJxM8+bNsba2xsbGhtatW+tNI85pmknv3r0JDAxUX2f/G/Xu3RsnJyeCgoJQFIURI0bg5uaGubk5xYoV4/PPP8913ADt27enfv36lCpVigoVKhAVFUVqairx8fFqmz59+uDn50fJkiWpUaMGgwYNYs+ePWRkZAAQHR3NgwcPmDdvHhUqVKBt27Z8/vnnREVFPfW89vb2dO/enapVq1KyZEnq1atHWFgY//vf/9Q2v/76K9u3b2fDhg3Ur18fd3d3/P39qVmzZp6uUYjXlSQo3lCurq5MmTKFsmXLEhISQs+ePZkyZUqe+rh8+TJmZmbY2dnpbS9SpAiXL1/O8Zi5c+fSvn17tFrti4YuhBBCCPFayI8HPtmMjIyYPn06R48eZeHChfz+++8MGDBA3R8XF0e9evUoX748u3fvZseOHQQHB6PT6QAYPHgw48ePJyIigmPHjrFkyRKKFCmS5zju3r1LUFAQ9vb27N+/n+XLl7N582bCw8P12m3ZsoXExES2bdvG0qVLWblyJSNHjsz1eRYuXIiVlRV79+5l4sSJfPXVV2zatAl4mLxo3rw5N27cYPv27WzatIlTp07Rpk2bPF/PwoULMTMzY+fOnXz77besWLGCKVOmMHv2bE6cOMHq1avx9vZW248YMQJ3d/dc9//gwQO+++47bG1tqVixYo5tbty4QXR0NDVq1MDU1BSA3bt3ExAQgJmZmdouKCiIpKQkNen0PBcvXmTlypXUrl1b3fbzzz9TtWpVJk6cSPHixfH09KR///6kpaXl+pqEeJ2ZGDoA8XL4+fmh0WjU1/7+/kRGRqp/5F6G3bt3k5iYyA8//PDSziGEEEII8apkP/DRaDSULVuWhIQEpkyZwqeffprnvh4tGunu7s7o0aPp1q0b33zzDQATJ06katWq6muAChUqAHD79m2mTZvGzJkz6dixIwClS5fm3XffzXMcS5Ys4f79+yxatAgrKysAZs6cSXBwMBMmTFCTHmZmZsybNw9LS0sqVKjAV199xRdffMGoUaMwMnr+M04fHx+GDx8OgIeHBzNnzmTLli289957bNmyhYSEBE6fPo2rqyvwcBRuhQoV2L9/P9WqVcv19Xh4eOjVdli/fj0uLi7Ur18fU1NT3Nzc8PX1Vfc7OTlRunTp5/a7bt062rZty7179yhatCibNm3CyclJr83AgQOZOXMm9+7dw8/Pj3Xr1qn7Ll++zFtvvaXXPvveXr58GXt7+6eeu127dqxZs4a0tDSCg4P1kmKnTp1ix44dWFhYsGrVKq5du0ZYWBjXr19n/vz5z70uIV53MoJCPJWLiwsPHjzg1q1betuvXLmCi4vLE+3nzJlDpUqVqFKlyiuKUAghhBDi5cnpgc+JEyde6IHP5s2bqVevHsWLF6dQoUJ06NCB69evc+/ePeCfERQ5SUxMJD09/an78yIxMZGKFSuqyQmAmjVrkpWVRVJSkrqtYsWKevU1/P39uXPnDufOncvVeXx8fPReFy1aVF3hLTExEVdXVzU5AVC+fHns7OxITEzM0/U8/rmzVatWpKWlUapUKT799FNWrVpFZmamuj88PJwtW7Y8t986deoQFxfHrl27aNiwIa1bt35ihbovvviCQ4cOsXHjRoyNjQkNDdWbAvSipkyZwsGDB1mzZg0nT56kb9++6r6srCw0Gg3R0dH4+vrSuHFjoqKiWLhwoYyiEG8ESVC8oR6vNLxnzx48PDwwNjbOdR9VqlTB1NRU7008KSmJ5ORk/P399dreuXOHZcuWSXFMIYQQQojHnDlzhqZNm+Lj48OKFSs4cOAAX3/9NfBPYcdnTY8tiFNns6c6ZNNoNGRlZeX6eCMjoye+7GfXd3jUo4kWeDjqJSkpiW+++QatVktYWBgBAQE5HvssVlZWlClTBj8/P+bOnYuJiQlz587Va+Pk5ISnpyfvvfceMTExbNiwQS0k7+LioldTA1Bf5/Sg71EuLi54eXnRrFkzZs+ezaxZs7h06RLwMNFTvHhxbG1t1fblypVDURTOnz+fp2sU4nUkCYo3VHJyMn379lUr+86YMYNevXrlqQ9bW1u6dOlC37592bp1KwcOHKBTp074+/vj5+en1/bHH38kMzOTjz76KD8vQwghhBDCYPLjgQ88LDyelZVFZGQkfn5+eHp6PrEkpY+Pz1Of7Ht4eKDVanP15P95ypUrx+HDh7l79666befOnRgZGemtBHH48GG9J/J79uzB2tpab9TDv4nh3LlzeqMxjh07xq1btyhfvjzwcIWU7C/l2eLi4nLVv1arJTg4mOnTp7Nt2zZ2795NQkLCv4o5KyuL9PT0Z+4H1Db+/v7ExsbqJUY2bdpE2bJlnzm943n91qxZk4sXL+oVNf3zzz8xMjKiRIkSub8gIV5TkqB4Q4WGhpKWloavry89evSgV69eL7RO95QpU2jatCktW7YkICAAFxcXVq5c+US7uXPn0qJFiycKagohhBBCFFT58cAHoEyZMmRkZDBjxgxOnTrFDz/8wLfffqvXZvDgwezfv5+wsDDi4+M5fvw4s2bN4tq1a1hYWDBw4EAGDBjAokWLOHnyJHv27HniiX5uhISEYGFhQceOHTly5Ahbt26lZ8+edOjQQa/o5oMHD+jSpQvHjh1jw4YNDB8+nPDw8FzVn3ie+vXr4+3tTUhICAcPHmTfvn2EhoZSu3ZtqlatCkDdunX5448/WLRoESdOnGD48OEcOXLkuX0vWLCAuXPncuTIEU6dOsXixYvRarWULFkSeFhv41lTZe7evcuQIUPYs2cPZ8+e5cCBA3Tu3JkLFy7QqlUr4GHiaubMmcTFxXH27Fl+//132rVrR+nSpdVRxu3bt8fMzIwuXbpw9OhRfvzxR6ZNm6Y3XWPVqlV4eXmprzds2MD8+fM5cuQIZ86cYf369XTr1o2aNWuqhT3bt2+Po6MjnTp14tixY8TGxvLFF1/QuXPnAjnSRojHSZHMN5SpqSlTp05l1qxZT+w7c+ZMrvuxsLDg66+/VochPs2uXbvyGqIQQgghxGvt0Qc+xsbGL/zAp2LFikRFRTFhwgQGDx5MQEAA48aNIzQ0VG3j6enJxo0bGTJkCL6+vmi1WqpXr067du0AiIiIwMTEhGHDhnHx4kWKFi1Kt27d8hyLpaUlv/32G7169aJatWpYWlrSsmXLJ5a/rFevHh4eHgQEBJCenk67du2eWCr0RWk0GtasWUPPnj0JCAjAyMiIhg0bMmPGDLVNUFAQERERDBgwgPv379O5c2dCQ0OfOxLCzs6O8ePH07dvX3Q6Hd7e3qxduxZHR0cArl27xsmTJ596vLGxMcePH2fhwoVcu3YNR0dHqlWrxv/+9z+1aKmlpSUrV65k+PDh3L17l6JFi9KwYUOGDh2Kubk58HAk8saNG+nRowdVqlTBycmJYcOG6f3+pKSk6NX90Gq1fP/99/Tp04f09HRcXV1p0aIFgwYNUttYW1uzadMmevbsSdWqVXF0dKR169aMHj06D/8CQry+NEp+VHIRr5XAwEAqVaqU63W5X3epqakP3+T/+BMr60KGDkcIIYQQr6kaZZ89tz8v3pTPU+np6VhYWLBp0ybq169v6HCEEP9R2d/pUlJSsLGxeWo7meLxHxYdHY21tXWOP9kZYiGEEEIIUTClpqaydOlSjIyM9KYSCCHE60qmeLyBtm3blqt2zZo1o3r16jnue7zyshBCCCGEyFl0dDRdu3bNcV/JkiU5evToSzv32LFjGTt2bI77qlWrxrFjx5gwYUK+FVBMTk5WC1nm5NixY7i5ueXLuYQQ/z0yxUO8VtLT05+okJyamoqrq6tM8RBCCCHEM+XnFI+8uH379hNLSmYzNTVVCzS+DDdu3ODGjRs57tNqtRQvXjxfz5eZmfnMembu7u6YmMgzUCGEvtxO8ZB3D/FaGTduHCNHjjR0GEIIIYQQuVaoUCEKFTLMQxQHBwccHBxe2flMTEwoU6bMKzufEOK/RWpQiNfK4MGDSUlJ0ft5dI1sIYQQQojXhbu7e4Evovm60Wg0rF692tBhCCEMRBIU4rVibm6OjY3NEz9CCCGEEK+b/fv3v9Cyo+LN5e7ujkaj0fsZP368un/btm00b96cokWLYmVlRaVKlYiOjn5uv4/3qdFoiImJUfevXLmS9957D2dnZ2xsbPD39+e3337T62PWrFn4+Pion6/9/f355Zdf8u/ihcgHMsXDQDIyMpg3bx5//vknhQsXZuDAgYYOSQghhBBC5IGzs7OhQ3gpHjx4gJmZmaHDeKUyMjLyrUj8V199xaeffqq+fnT6z65du/Dx8WHgwIEUKVKEdevWERoaiq2tLU2bNn1mv/Pnz6dhw4bqazs7O/X/Y2Njee+99xg7dix2dnbMnz+f4OBg9u7dS+XKlQEoUaIE48ePx8PDA0VRWLhwIc2bN+fQoUOygp94bcgIijz44Ycf2Lt3LwAjR47k2rVrL9zXwYMHuXLlCuPHj88xOfHnn3/Sr1+/J7avW7eOb7/99oXP+zLcvn2b+fPnM2TIEPr27cvYsWOJj483dFhCCCGEEC8sMDCQ8PBwwsPDsbW1xcnJiYiICB6tL5+XKR5RUVF4e3tjZWWFq6srYWFh3LlzR6/Nzp07CQwMxNLSEnt7e4KCgrh58yYAWVlZTJw4kTJlymBubo6bmxtjxox57nlr1KjxxGfNq1evYmpqSmxsrHodo0aNIjQ0FBsbG3VUyMCBA/H09MTS0pJSpUoRERFBRkaG2s+IESOoVKkS8+bNw83NDWtra8LCwtDpdEycOBEXFxcKFy6cqzgfde3aNT744AMsLS3x8PDg559/1tu/fft2fH19MTc3p2jRogwaNIjMzEx1f07/LpUqVWLEiBHqa41Gw6xZs2jWrBlWVlaMGTOGmzdvEhISgrOzM1qtFg8PD+bPn5+n2OFhQsLFxUX9sbKyUvcNGTKEUaNGUaNGDUqXLk2vXr1o2LAhK1eufG6/dnZ2ev1aWFio+6ZOncqAAQOoVq0aHh4ejB07Fg8PD9auXau2CQ4OpnHjxnh4eODp6cmYMWOwtrZmz549eb5GIV4WSVDkwdmzZylZsiRpaWncvXsXJyenF+7r+vXrFC5c+LVYzlNRFLKysl74+PT0dEqUKMEXX3zB5MmTadq0KfPmzePSpUv5GKUQQgghxKu1cOFCTExM2LdvH9OmTSMqKoo5c+a8UF9GRkZMnz6do0ePsnDhQn7//XcGDBig7o+Li6NevXqUL1+e3bt3s2PHDoKDg9HpdMDDOl3jx48nIiKCY8eOsWTJEooUKfLc84aEhBATE6OXWPnxxx8pVqwYtWrVUrdNnjyZihUrcujQISIiIoCHX7QXLFjAsWPHmDZtGt9//z1TpkzR6//kyZP88ssv/PrrryxdupS5c+fSpEkTzp8/z/bt25kwYQJDhw5VH/LlxsiRI2ndujXx8fE0btyYkJAQdaWSCxcu0LhxY6pVq8bhw4eZNWsWc+fOZfTo0bnuP9uIESP44IMPSEhIoHPnzuq9/eWXX0hMTGTWrFl6n/cDAwP5+OOPn9vv+PHjcXR0pHLlykyaNEkveZKTlJSUXBU67dGjB05OTvj6+jJv3jyetRhjVlYWt2/ffmq/Op2OmJgY7t69i7+//3PPLcSrIlM8cik9PZ1bt25RpEgRkpKScrW+8969e/n1119JTU2lWLFitGrVCjc3N1asWMG2bdtQFIU+ffpQr1695w7pyklGRgYxMTHEx8ej0+mwt7enQ4cOuLu7oygK27ZtIzY2ltTUVEqUKEHbtm0pWrQoAEOHDuXdd98lPj6eCxcuMGDAAC5cuMD69etJTU3FwsKCWrVq0bhx4+fG4eTkxHvvvae+9vHxoUiRIpw+fVo9nxBCCCFEQePq6sqUKVPQaDSULVuWhIQEpkyZojd8P7d69+6t/r+7uzujR4+mW7dufPPNNwBMnDiRqlWrqq8Bddj97du3mTZtGjNnzqRjx44AlC5dmnffffe5523dujW9e/dmx44dakJiyZIltGvXDo1Go7arW7fuE6N3hw4dqhdz//79iYmJ0UusZGVlMW/ePAoVKkT58uWpU6cOSUlJbNiwASMjI8qWLcuECRPYunUr1atXz9W9+vjjj2nXrh0AY8eOZfr06ezbt4+GDRvyzTff4OrqysyZM9FoNHh5eXHx4kUGDhzIsGHDMDLK/fPX9u3b06lTJ/V1cnIylStXpmrVquo1P8rNze25n20///xz3nnnHRwcHNi1axeDBw/m0qVLREVF5dh+2bJl7N+/n9mzZz+z36+++oq6detiaWnJxo0b1RE4n3/+eY7tJ0+ezJ07d2jdurXe9oSEBPz9/bl//z7W1tasWrWK8uXLP/PcQrxKkqB4jkOHDrF48WKysrLIyMigf//+aha0X79+1K9fn0aNGj1x3IkTJ4iJiSEsLIxSpUqxfft2Zs6cyciRI2nZsiXm5uacP3+ebt26vXBse/fu5fz584wcORKtVsvff/+tjsiIjY1l165ddO/eHUdHR2JjY/n222+JiIhQ16bes2cP3bt3x9nZmfT0dMaNG0evXr3w8PDg3r17/P333+q5Ro8eTVBQENWqVXtuXLdv3+by5cv5vu62EEIIIcSr5Ofnp/cl3t/fn8jISHQ6HcbGxnnqa/PmzYwbN47jx4+TmppKZmYm9+/f5969e1haWhIXF0erVq1yPDYxMZH09HTq1auX52twdnamQYMGREdHU6tWLU6fPs3u3buf+EKc/aX8UT/++CPTp0/n5MmT3Llzh8zMzCeKl7u7u+vVWChSpAjGxsZ6iYIiRYrofa58Hh8fH/X/rayssLGxUY9PTEzE399f79+lZs2a3Llzh/Pnz+fqIWK2x6+5e/futGzZkoMHD9KgQQPef/99atSooe5ftGjRc/vs27ev3nWYmZnRtWtXxo0bh7m5uV7brVu30qlTJ77//vvn1oDIHtUCULlyZe7evcukSZNyTFAsWbKEkSNHsmbNGgoXLqy3r2zZssTFxZGSksJPP/1Ex44d2b59uyQpxGtDpng8R+XKlYmMjKRu3bo0adKEyMhISpUqRY8ePYiMjMwxOQGwb98+fH198fDwwNjYWM14HjlyJN9iMzY2Jj09ncuXL6MoCkWKFFGHccXGxtK0aVMKFy6MsbExderU4cGDB5w5c0Y9PiAggCJFimBkZISRkRHGxsZcvnyZtLQ0LC0t9bLGQ4cOzVVyIjMzk7lz5/LOO+9QsmTJfLtWIYQQQoiC6syZMzRt2hQfHx9WrFjBgQMH+Prrr4GHBSkBtFrtU49/1r7cCAkJ4aeffiIjI4MlS5bg7e2Nt7e3XptH6yQA7N69m5CQEBo3bsy6des4dOgQX375pRpvtsenK2s0mhy35WU68b893sjI6InpD4/Wzsj2+DU3atSIs2fP0qdPHy5evEi9evXo379/rs+bk+rVq5OZman3GRwe1tEIDg5mypQphIaGvlC/58+fJz09XW97TEwMn3zyCcuWLaN+/fpPHGdmZkaZMmWoUqUK48aNo2LFikybNi3P5xfiZZERFLl04sQJmjVrhk6n49y5c7z11lvPbH/z5k08PT31tjk5OamFjp7H2NhYnXP4qEcz9r6+vqSkpLB06VJu3ryJj48PLVq0wNramuvXr7NgwQK97HVmZqbe+e3t7dX/Nzc3p3v37mzZsoVVq1ZRvHhxmjZtStmyZXMVb3b/33//PWZmZoSEhOT6OCGEEEKI19HjdRP27NmjPnzKiwMHDpCVlUVkZKT62WzZsmV6bXx8fNiyZQsjR4584ngPDw+0Wi1btmzhk08+yeNVQPPmzfnss8/49ddfWbJkSa6+EO/atYuSJUvy5ZdfqtvOnj2b53Pnt3LlyrFixQoURVFHUezcuZNChQpRokQJ4OGokUdroaWmpnL69Olc9e/s7EzHjh3p2LEjtWrVUmusvai4uDiMjIz0RjJs27aNpk2bMmHChBdepjYuLg57e3u9URlLly6lc+fOxMTE0KRJk1z1k5WV9USSQwhDkgTFM2RkZDBo0CAA7t+/z6xZs9SpHoMGDaJYsWI5rrQBD7/8X79+XW/b9evX9ZICz+Lg4MCDBw+4ffu23rC5a9eu4ejoCDxMYjRs2JCGDRuSmprKvHnzWL9+PW3atMHe3p4PP/zwmcPFHh0aB+Dl5YWXlxc6nY7t27cze/ZsJk+enKu5fJmZmcyZMwedTkfXrl3VaSRCCCGEEAVVcnIyffv2pWvXrhw8eJAZM2YQGRmZ537KlClDRkYGM2bMIDg4mJ07dz6xKtvgwYPx9vYmLCyMbt26YWZmxtatW2nVqhVOTk4MHDiQAQMGYGZmRs2aNbl69SpHjx6lS5cuzz2/lZUV77//PhERESQmJqr1HZ7Fw8OD5ORkYmJiqFatGuvXr2fVqlV5vvb8FhYWxtSpU+nZsyfh4eEkJSUxfPhw+vbtq35mrVu3LgsWLCA4OBg7OzuGDRuWq6TSsGHDqFKlChUqVCA9PZ1169ZRrlw5dX9oaCjFixdn3LhxOR6/e/du9u7dS506dShUqBC7d++mT58+fPTRR+p3gK1bt9K0aVN69epFy5YtuXz5MvBwZMPTClquXbuWK1eu4Ofnh4WFBZs2bWLs2LF6ozuWLFlCx44dmTZtGtWrV1f71Wq12NraAg9/xxo1aoSbmxu3b99myZIlbNu2jd9+++2590aIV0WmeDyDqakpkZGRdOnSBW9vb3WqR3BwMJGRkU9NTgBUq1aN/fv3c/LkSXQ6HVu3buXu3bu5XmPY3t4eDw8PVqxYwb1799DpdBw5coT4+Hh1vlxSUhLnzp1Dp9NhZmaGqamp+uYbEBDAunXruHLlCgBpaWkcPnyY+/fv53i+1NRU4uLiuH//PkZGRmi12lw/HdDpdMyZM4f09HS6du36WqxMIoQQQgjxb4WGhpKWloavry89evSgV69eL/TEu2LFikRFRTFhwgTefvttoqOjn/iS6+npycaNGzl8+DC+vr74+/uzZs0a9aFPREQE/fr1Y9iwYZQrV442bdrkqa5DSEgIhw8fplatWrmq09CsWTP69OlDeHg4lSpVYteuXXp1EAylePHibNiwgX379lGxYkW6detGly5d9Ap6Dh48mNq1a9O0aVOaNGnC+++/T+nSpZ/bt5mZGYMHD8bHx4eAgACMjY2JiYlR9ycnJz9zlTpzc3NiYmKoXbs2FSpUYMyYMfTp04fvvvtObbNw4ULu3bvHuHHjKFq0qPrTokULtc22bdvQaDTqtBBTU1O+/vpr/P39qVSpErNnzyYqKorhw4erx3z33XdkZmbSo0cPvX579eqltvn7778JDQ2lbNmy1KtXj/379/Pbb7/pFbsXwtA0yrPWpxHAw4xkyZIlqVmzJmPGjKFLly64uLg897g9e/bw22+/kZKSoq7ikV2XYd26dc8tkpmSksKqVatISkriwYMHODs707hxY7Vw0P79+9mwYQO3bt3C1NQULy8v2rZti6WlJYqiEBsbS2xsLDdv3sTc3JzSpUvz0UcfYWFhwdChQ/nwww+pVKmSeq558+Zx/vx5FEWhcOHCfPDBB+oUj1GjRhEUFISvr+8Tcf75559MnToVU1NTvdEWQUFBNGzYMNf3+WlSU1OxtbVl4x9/YmVd6PkHCCGEEOI/qUbZ538+y63AwEAqVarE1KlT861PIXJj/vz5jB07lmPHjsmDP/HGyP5Ol5KS8kSx3UdJgkK89iRBIYQQQojckASFeBO0atWK1q1bP3VVFyEKotwmKGSKhxBCCCGEEP9CdHQ01tbWOf7kdnrvixo7duxTz/201eYMxZD3qSBZvny5JCfEf5aMoBCvPRlBIYQQQojcyM8RFHlx+/Ztte7X40xNTV/q0us3btzgxo0bOe7TarUUL178pZ07rwx5n4QQhpXbERSy1IIQQgghhBD/QqFChfRWXXuVHBwcnrr6w+vGkPdJCFEwyBQPIYQQQgghhBBCGJwkKIQQQgghhBBCCGFwMsVDFBjVPYo8c76SEEIIIYQQQoiCS0ZQCCGEEEIIIYQQwuAkQSGEEEIIIYQQQgiDkwSFEEIIIYQQQgghDE4SFEIIIYQQQgghhDA4SVAIIYQQQgghhBDC4CRBIYQQQgghhBBCCIOTBIUQQgghhBBCCCEMThIUQgghhBBCCCGEMDgTQwcgRG79efEW1rezDB2GEEIIIQoQr+J2hg5BCCFELskICiGEEEIIIYQQQhicJCiEEEIIIYQQQghhcJKg+A9yd3dn6tSphg5DCCGEEEIIIYRQSYLiP2j//v189tlnuWr73XffERgYiI2NDRqNhlu3bj3R5saNG4SEhGBjY4OdnR1dunThzp07+Ry1EEIIIcTrraA8BNJoNKxevTrX7T/++GPef//9Fz5fYGAgvXv3fuHjhRD/HZKg+A9ydnbG0tIyV23v3btHw4YNGTJkyFPbhISEcPToUTZt2sS6deuIjY3NdQJECCGEEOJNkZeHQIZ06dIlGjVqZOgwCoSMjAwGDhyIt7c3VlZWFCtWjNDQUC5evJjrPsaPH49Go3kiSXP//n169OiBo6Mj1tbWtGzZkitXrui10Wg0T/zExMTkx6UJ8VqSBMUbKDAwkPDwcMLDw7G1tcXJyYmIiAgURQHylt3v3bs3gwYNws/PL8f9iYmJ/Prrr8yZM4fq1avz7rvvMmPGDGJiYvL0xi2EEEIIUdDl5SGQIbm4uGBubm7oMF66Bw8e/Os+7t27x8GDB4mIiODgwYOsXLmSpKQkmjVrlqvj9+/fz+zZs/Hx8XliX58+fVi7di3Lly9n+/btXLx4kRYtWjzRbv78+Vy6dEn9+TejWYR43UmC4g21cOFCTExM2LdvH9OmTSMqKoo5c+bk+3l2796NnZ0dVatWVbfVr18fIyMj9u7dm+/nE0IIIYQwhOc9AIK8PQSKiopSn8q7uroSFhb2xBTZnTt3EhgYiKWlJfb29gQFBXHz5k0AsrKymDhxImXKlMHc3Bw3NzfGjBmTq3M/PsUjISGBunXrotVqcXR05LPPPstxuu7IkSNxdnbGxsaGbt265SkBkJWVxYABA3BwcMDFxYURI0bo7U9OTqZ58+ZYW1tjY2ND69at9UYT5DTNpHfv3gQGBqqvs/+NevfujZOTE0FBQSiKwogRI3Bzc8Pc3JxixYrx+eef5zpuW1tbNm3aROvWrSlbtix+fn7MnDmTAwcOkJyc/Mxj79y5Q0hICN9//z329vZ6+1JSUpg7dy5RUVHUrVuXKlWqMH/+fHbt2sWePXv02trZ2eHi4qL+WFhY5Dp+IQoaSVC8oVxdXZkyZQply5YlJCSEnj17MmXKlHw/z+XLlylcuLDeNhMTExwcHLh8+XK+n08IIYQQwlDy8wGQkZER06dP5+jRoyxcuJDff/+dAQMGqPvj4uKoV68e5cuXZ/fu3ezYsYPg4GB0Oh0AgwcPZvz48URERHDs2DGWLFlCkSJF8hzH3bt3CQoKwt7env3797N8+XI2b95MeHi4XrstW7aQmJjItm3bWLp0KStXrmTkyJG5Ps/ChQuxsrJi7969TJw4ka+++opNmzYBD5MXzZs358aNG2zfvp1NmzZx6tQp2rRpk+frWbhwIWZmZuzcuZNvv/2WFStWMGXKFGbPns2JEydYvXo13t7eavsRI0bg7u6ep3OkpKSg0Wiws7N7ZrsePXrQpEkT6tev/8S+AwcOkJGRobfPy8sLNzc3du/e/UQ/Tk5O+Pr6Mm/ePL2kmBBvGhNDByBeDj8/PzQajfra39+fyMhI9Y+aEEIIIYTIm+wHQBqNhrJly5KQkMCUKVP49NNP89zXo/UI3N3dGT16NN26deObb74BYOLEiVStWlV9DVChQgUAbt++zbRp05g5cyYdO3YEoHTp0rz77rt5jmPJkiXcv3+fRYsWYWVlBcDMmTMJDg5mwoQJatLDzMyMefPmYWlpSYUKFfjqq6/44osvGDVqFEZGz3/m6ePjw/DhwwHw8PBg5syZbNmyhffee48tW7aQkJDA6dOncXV1BWDRokVUqFCB/fv3U61atVxfj4eHBxMnTlRfr1+/HhcXF+rXr4+pqSlubm74+vqq+52cnChdunSu+79//z4DBw6kXbt22NjYPLVdTEwMBw8eZP/+/Tnuv3z5MmZmZk8kOYoUKaL3kO+rr76ibt26WFpasnHjRnWkTV5GgQhRkMgICvGvuLi48Pfff+tty8zM5MaNG7i4uBgoKiGEEEKI/JfTA6ATJ0680AOgzZs3U69ePYoXL06hQoXo0KED169f5969e8A/IyhykpiYSHp6+lP350ViYiIVK1ZUkxMANWvWJCsri6SkJHVbxYoV9epr+Pv7c+fOHc6dO5er8zxeg6Fo0aLqZ8jExERcXV3V5ARA+fLlsbOzIzExMU/XU6VKFb3XrVq1Ii0tjVKlSvHpp5+yatUqMjMz1f3h4eFs2bIlV31nZGTQunVrFEVh1qxZT2137tw5evXqRXR09L+ejhEREUHNmjWpXLkyAwcOZMCAAUyaNOlf9SnE60wSFG+ox+s/7NmzBw8PD4yNjfP1PP7+/ty6dYsDBw6o237//XeysrKoXr16vp5LCCGEEOJNcObMGZo2bYqPjw8rVqzgwIEDfP3118A/hR21Wu1Tj3/WvteVqamp3muNRkNWVlaujzcyMnpiakNGRsYT7R5NtMDDUS9JSUl88803aLVawsLCCAgIyPHYZ8lOTpw9e5ZNmzY9c/TEgQMH+Pvvv3nnnXcwMTHBxMSE7du3M336dExMTNDpdLi4uPDgwQNu3bqld+yVK1ee+ZCvevXqnD9/nvT09DzFL0RBIQmKN1RycjJ9+/YlKSmJpUuXMmPGDHr16pXnfi5fvkxcXBx//fUX8LCIUlxcHDdu3ACgXLlyNGzYkE8//ZR9+/axc+dOwsPDadu2LcWKFcvXaxJCCCGEMKT8egB04MABsrKyiIyMxM/PD09PzydWP/Px8Xnqk30PDw+0Wm2un/w/S7ly5Th8+DB3795Vt+3cuRMjIyPKli2rbjt8+DBpaWnq6z179mBtba036uHfxHDu3Dm90RjHjh3j1q1blC9fHni4QsqlS5f0jouLi8tV/1qtluDgYKZPn862bdvYvXs3CQkJuY4vOzlx4sQJNm/ejKOj4zPb16tXT/3MnP1TtWpVQkJCiIuLw9jYmCpVqmBqaqr3b5iUlERycjL+/v5P7TsuLg57e/v/xCos4r9JalC8oUJDQ0lLS8PX1xdjY2N69er1Qutyf/vtt3oFkAICAoCHyx19/PHHAERHRxMeHk69evUwMjKiZcuWTJ8+PV+uQwghhBDidZH9AKhr164cPHiQGTNmEBkZmed+ypQpQ0ZGBjNmzCA4OFgt6PiowYMH4+3tTVhYGN26dcPMzIytW7fSqlUrnJyc1OH+ZmZm1KxZk6tXr3L06FG6dOmSp1hCQkIYPnw4HTt2ZMSIEVy9epWePXvSoUMHvaKbDx48oEuXLgwdOpQzZ84wfPhwwsPDc1V/4nnq16+Pt7c3ISEhTJ06lczMTMLCwqhdu7a6UlzdunWZNGkSixYtwt/fn8WLF3PkyBEqV678zL4XLFiATqejevXqWFpasnjxYrRaLSVLlgQe1ttYtWrVU5M9GRkZfPjhhxw8eJB169ah0+nUGhEODg6YmZk9cUyhQoV4++239bZZWVnh6Oiobre1taVLly707dsXBwcHbGxs6NmzJ/7+/vj5+QGwdu1arly5gp+fHxYWFmzatImxY8fSv3//PNxdIQoWSVC8oUxNTZk6dWqO8+POnDmT635GjBjxxDJQj3NwcGDJkiV5jFAIIYQQomDJrwdAFStWJCoqigkTJjB48GACAgIYN24coaGhahtPT082btzIkCFD8PX1RavVUr16ddq1awc8rE1gYmLCsGHDuHjxIkWLFqVbt255jsXS0pLffvuNXr16Ua1aNSwtLWnZsiVRUVF67erVq4eHhwcBAQGkp6fTrl27535GzC2NRsOaNWvo2bMnAQEBGBkZ0bBhQ2bMmKG2CQoKIiIiggEDBnD//n06d+5MaGjoc0dC2NnZMX78ePr27YtOp8Pb25u1a9eqoyCuXbvGyZMnn3r8hQsX+PnnnwGoVKmS3r6tW7eqy5wGBgbi7u7OggULcn3dU6ZMUR/upaenExQUpFcU1dTUlK+//po+ffqgKAplypQhKirqhYqyClFQaBRZp+aNExgYSKVKlXK9DvfrLjU1FVtbW/YnnsW60NPn+wkhhBBCPM6ruF2+9POmfL5KT09Xn8bntPyleDElS5Zk5MiR6ghjIYS+7O90KSkpz6zhIjUo/sOio6OxtrbO8Sd7GSshhBBCCPFmSE1NZenSpRgZGeHl5WXocN4YR48exdbWVm8EjBDixcgUjzfQtm3bctWuWbNmT11p4/FKy0IIIYQQIneio6Pp2rVrjvtKlizJ0aNHX9q5x44dy9ixY3PcV61aNY4dO8aECRMoUaJEvpwvOTlZLWSZk2PHjuHm5pYv53pdVahQgfj4eEOHIcQbQaZ4iNdKenr6E8smpaam4urqKlM8hBBCCJFn+TXFIy9u377NlStXctxnamqqFmh8GW7cuKGutvY4rVZL8eLF8/V8mZmZz6xv5u7ujomJPBMV4r8ut1M85N1CvFbGjRunt2qIEEIIIURBU6hQIQoVKmSQczs4OODg4PDKzmdiYkKZMmVe2fmEEG82qUEhXiuDBw8mJSVF7+fRNbGFEEIIIV5X7u7uBb6I5utGo9GwevVqQ4chhHhFJEEhXivm5ubY2Ng88SOEEEII8brbv3//Cy07Kt5cY8aMoUaNGlhaWmJnZ5djmy1btlCjRg0KFSqEi4sLAwcOJDMzU92/bds2mjdvTtGiRbGysqJSpUpER0fnOobr169TokQJNBoNt27dUrevXLmS9957D2dnZ2xsbPD39+e3337TO1an0xEREcFbb72FVquldOnSjBo1CqkSIF4WSVAYSEZGBrNnz6Zfv35MmDDB0OEIIYQQQoh/ydnZGUtLS0OHke8ePHhg6BBeuYyMjHzp58GDB7Rq1Yru3bvnuP/w4cM0btyYhg0bcujQIX788Ud+/vlnBg0apLbZtWsXPj4+rFixgvj4eDp16kRoaCjr1q3LVQxdunTBx8fnie2xsbG89957bNiwgQMHDlCnTh2Cg4M5dOiQ2mbChAnMmjWLmTNnkpiYyIQJE5g4cSIzZszI450QInckQZEHP/zwA3v37gVg5MiRXLt27YX7OnjwIFeuXGH8+PEMHDjwif1//vkn/fr1e2L7unXr+Pbbb1/4vC/L2rVrGT16NOHh4SxfvtzQ4QghhBBC5KvAwEDCw8MJDw/H1tYWJycnIiIi9J4k52WKR1RUFN7e3lhZWeHq6kpYWBh37tzRa7Nz504CAwOxtLTE3t6eoKAgbt68CUBWVhYTJ06kTJkymJub4+bmxpgxY5573ho1ajzx2fPq1auYmpoSGxurXseoUaMIDQ3FxsZGHRUycOBAPD09sbS0pFSpUkREROh9kR8xYgSVKlVi3rx5uLm5YW1tTVhYGDqdjokTJ+Li4kLhwoVzFeejrl27xgcffIClpSUeHh78/PPPevu3b9+Or68v5ubmFC1alEGDBumNQMjp36VSpUqMGDFCfa3RaJg1axbNmjXDysqKMWPGcPPmTUJCQnB2dkar1eLh4cH8+fPzFPvIkSPp06cP3t7eOe7/8ccf8fHxYdiwYZQpU4batWszceJEvv76a27fvg3AkCFDGDVqFDVq1KB06dL06tWLhg0bsnLlyueef9asWdy6dYv+/fs/sW/q1KkMGDCAatWq4eHhwdixY/Hw8GDt2rVqm127dtG8eXOaNGmCu7s7H374IQ0aNGDfvn15ug9C5JYkKPLg7NmzlCxZkrS0NO7evYuTk9ML93X9+nUKFy78WiznqSgKWVlZ/6oPZ2dnPvjgg6e++QohhBBCFHQLFy7ExMSEffv2MW3aNKKiopgzZ84L9WVkZMT06dM5evQoCxcu5Pfff2fAgAHq/ri4OOrVq0f58uXZvXs3O3bsIDg4GJ1OBzys2zV+/HgiIiI4duwYS5YsoUiRIs89b0hICDExMXqJlR9//JFixYpRq1YtddvkyZOpWLEihw4dIiIiAnhY/HPBggUcO3aMadOm8f333zNlyhS9/k+ePMkvv/zCr7/+ytKlS5k7dy5NmjTh/PnzbN++nQkTJjB06FD1oV9ujBw5ktatWxMfH0/jxo0JCQlRVyq5cOECjRs3plq1ahw+fJhZs2Yxd+5cRo8enev+s40YMYIPPviAhIQEOnfurN7bX375hcTERGbNmqX3+T8wMJCPP/44z+d5VHp6OhYWFnrbtFot9+/f58CBA089LiUl5bnFUI8dO8ZXX33FokWLMDJ6/te+rKwsbt++rddvjRo12LJlC3/++SfwcMTHjh07aNSo0XP7E+JFyCoeuZSens6tW7coUqQISUlJuVrPee/evfz666+kpqZSrFgxWrVqhZubGytWrGDbtm0oikKfPn2oV68eTZs2zXNMGRkZxMTEEB8fj06nw97eng4dOuDu7o6iKGzbto3Y2FhSU1MpUaIEbdu2pWjRogAMHTqUd999l/j4eC5cuMCAAQO4cOEC69evJzU1FQsLC2rVqkXjxo1zFYufnx/AM99IhRBCCCEKMldXV6ZMmYJGo6Fs2bIkJCQwZcoUPv300zz31bt3b/X/3d3dGT16NN26deObb74BYOLEiVStWlV9DVChQgXg4TKm06ZNY+bMmXTs2BGA0qVL8+677z73vK1bt6Z3797s2LFDTUgsWbKEdu3aodFo1HZ169Z9YjTv0KFD9WLu378/MTExeomVrKws5s2bR6FChShfvjx16tQhKSmJDRs2YGRkRNmyZZkwYQJbt26levXqubpXH3/8Me3atQNg7NixTJ8+nX379tGwYUO++eYbXF1dmTlzJhqNBi8vLy5evMjAgQMZNmxYrr6YZ2vfvj2dOnVSXycnJ1O5cmWqVq2qXvOj3Nzc1M/WLyooKIipU6eydOlSWrduzeXLl/nqq68AuHTpUo7HLFu2jP379zN79uyn9puenk67du2YNGkSbm5unDp16rmxTJ48mTt37tC6dWt126BBg0hNTcXLywtjY2N0Oh1jxowhJCQkj1cqRO5IguI5Dh06xOLFi8nKyiIjI4P+/furQ8b69etH/fr1c8wgnjhxgpiYGMLCwihVqhTbt29n5syZjBw5kpYtW2Jubs758+fp1q3bC8e2d+9ezp8/z8iRI9Fqtfz999/qiIzY2Fh27dpF9+7dcXR0JDY2lm+//ZaIiAh1Leo9e/bQvXt3nJ2dSU9PZ9y4cfTq1QsPDw/u3bvH33//rZ5r9OjRBAUFUa1atReOVwghhBCiIPPz89P7Eu/v709kZCQ6nQ5jY+M89bV582bGjRvH8ePHSU1NJTMzk/v373Pv3j0sLS2Ji4ujVatWOR6bmJhIeno69erVy/M1ODs706BBA6Kjo6lVqxanT59m9+7dT3zZzf5S/qgff/yR6dOnc/LkSe7cuUNmZuYTxczd3d31llgtUqQIxsbGeomCIkWK6H3OfJ5H6ydYWVlhY2OjHp+YmIi/v7/ev0vNmjW5c+cO58+fz9VDxWyPX3P37t1p2bIlBw8epEGDBrz//vvUqFFD3b9o0aJc9/00DRo0YNKkSXTr1o0OHTpgbm5OREQE//vf/3JMrmzdupVOnTrx/fffqwmrnAwePJhy5crx0Ucf5SqOJUuWMHLkSNasWUPhwoXV7cuWLSM6OpolS5ZQoUIF4uLi6N27N8WKFVOTY0LkJ5ni8RyVK1cmMjKSunXr0qRJEyIjIylVqhQ9evQgMjLyqcOb9u3bh6+vLx4eHhgbG1O3bl0sLS05cuRIvsVmbGxMeno6ly9fRlEUihQpog7Jio2NpWnTphQuXBhjY2Pq1KnDgwcPOHPmjHp8QEAARYoUwcjICCMjI4yNjbl8+TJpaWlYWlrqZYmHDh0qyQkhhBBCiHxw5swZmjZtqhY+PHDgAF9//TXwT0FKrVb71OOftS83QkJC+Omnn8jIyGDJkiV4e3s/MU3XyspK7/Xu3bsJCQmhcePGrFu3jkOHDvHll18+UUDz8enLGo0mx215mV78b483MjJ6YtWJnIpgPn7NjRo14uzZs/Tp04eLFy9Sr169HGs5/Ft9+/bl1q1bJCcnc+3aNZo3bw5AqVKl9Npt376d4OBgpkyZQmho6DP7/P3331m+fDkmJiaYmJioySwnJyeGDx+u1zYmJoZPPvmEZcuWUb9+fb19X3zxBYMGDaJt27Z4e3vToUMH+vTpw7hx4/7tZQuRIxlBkUsnTpygWbNm6HQ6zp07x1tvvfXM9jdv3sTT01Nvm5OTk1rY6Hmyh1A97tEMva+vLykpKSxdupSbN2/i4+NDixYtsLa25vr16yxYsEAv85qZmal3fnt7e/X/zc3N6d69O1u2bGHVqlUUL16cpk2bUrZs2VzFK4QQQgjxpnu8bsKePXvUh1F5ceDAAbKysoiMjFQ/qy1btkyvjY+PD1u2bGHkyJFPHO/h4YFWq2XLli188sknebwKaN68OZ999hm//vorS5Ysee6XXXhYLLFkyZJ8+eWX6razZ8/m+dz5rVy5cqxYsQJFUdRRFDt37qRQoUKUKFECeDhq5NHpEqmpqZw+fTpX/Ts7O9OxY0c6duxIrVq1+OKLL5g8eXK+X4dGo6FYsWIALF26FFdXV9555x11/7Zt22jatCkTJkzI1VK2K1asIC0tTX29f/9+OnfuzP/+9z9Kly6tbl+6dCmdO3cmJiaGJk2aPNHPvXv3nhjJYWxs/K/r1wnxNJKgeIaMjAx1iZ/79+8za9YsdarHoEGDKFasWI4rbcDDL//Xr1/X23b9+nW9pMCzODg48ODBA27fvq03TO7atWs4OjoCD98cGjZsSMOGDUlNTWXevHmsX7+eNm3aYG9vz4cffvjMoV+PDoUD8PLywsvLC51Ox/bt25k9ezaTJ0/O09w9IYQQQog3VXJyMn379qVr164cPHiQGTNmEBkZmed+ypQpQ0ZGBjNmzCA4OJidO3c+sUrb4MGD8fb2JiwsjG7dumFmZsbWrVtp1aoVTk5ODBw4kAEDBmBmZkbNmjW5evUqR48epUuXLs89v5WVFe+//z4REREkJiaq9R2excPDg+TkZGJiYqhWrRrr169n1apVeb72/BYWFsbUqVPp2bMn4eHhJCUlMXz4cPr27at+hq1bty4LFiwgODgYOzs7hg0blquk0rBhw6hSpQoVKlQgPT2ddevWUa5cOXV/aGgoxYsXf+ZoguTkZG7cuEFycjI6nY64uDjg4e+AtbU1AJMmTaJhw4YYGRmxcuVKxo8fz7Jly9QYt27dStOmTenVqxctW7bk8uXLAJiZmT21UOajSQhAXX2wXLly2NnZAQ+ndXTs2JFp06ZRvXp1tV+tVoutrS0AwcHBjBkzBjc3NypUqMChQ4eIioqic+fOz71/QrwI+eb5DKampkRGRtKlSxe8vb3VqR7BwcFERkY+NTkBUK1aNfbv38/JkyfR6XRs3bqVu3fvPjNh8Ch7e3s8PDxYsWIF9+7dQ6fTceTIEeLj49X5cUlJSZw7dw6dToeZmRmmpqbqG1lAQADr1q3jypUrAKSlpXH48GHu37+f4/lSU1OJi4vj/v37GBkZodVq8/Q0QKfTkZGRQVZWlprEyWkEiBBCCCFEQRUaGkpaWhq+vr706NGDXr165epp9uMqVqxIVFQUEyZM4O233yY6OvqJL7menp5s3LiRw4cP4+vri7+/P2vWrFFriUVERNCvXz+GDRtGuXLlaNOmTZ7qOoSEhHD48GFq1aqVqzoNzZo1o0+fPoSHh1OpUiV27dqlru5hSMWLF2fDhg3s27ePihUr0q1bN7p06aJX0HPw4MHUrl2bpk2b0qRJE95///0nvsDnxMzMjMGDB+Pj40NAQADGxsbExMSo+5OTk59ayDLbsGHDqFy5MsOHD+fOnTtUrlyZypUr88cff6htfvnlF2rVqkXVqlVZv349a9as4f3331f3L1y4kHv37jFu3DiKFi2q/rRo0UJts23bNjQajd507uf57rvvyMzMpEePHnr99urVS20zY8YMPvzwQ8LCwihXrhz9+/ena9eujBo1KtfnESIvNMrjE7LEE5YsWULJkiWpWbMmY8aMoUuXLri4uDz3uD179vDbb7+RkpKiruJRsmRJANatW/fcIpkpKSmsWrWKpKQkHjx4gLOzM40bN1YLBe3fv58NGzZw69YtTE1N8fLyom3btlhaWqIoCrGxscTGxnLz5k3Mzc0pXbo0H330ERYWFgwdOpQPP/yQSpUqqeeaN28e58+fR1EUChcuzAcffKBO8Rg1ahRBQUH4+vrmGOuiRYvYs2eP3jY/P79cDRl8ntTUVGxtbdmfeBbrQjbPP0AIIYQQ4v95FbfLl34CAwOpVKkSU6dOzZf+hMhP8+fPZ+zYsRw7duyJmh1CvA6yv9OlpKQ8UVz3UZKgEK89SVAIIYQQ4kVJgkL8F7Rq1YrWrVs/deUXIQwttwkKmeIhhBBCCCFEPoqOjsba2jrHn9xO931RY8eOfeq5n7b6nKEY8j69aZYvXy7JCfFGkBEU4rUnIyiEEEII8aLyawRFXty+fVutA/Y4U1NTdcrvy3Djxg1u3LiR4z6tVkvx4sVf2rnzypD3SQjxauV2BIWs4iGEEEIIIUQ+KlSokN4qbK+Sg4PDU1d2eN0Y8j4JIV5PMsVDCCGEEEIIIYQQBicJCiGEEEIIIYQQQhicTPEQBYZnMbtnzlcSQgghhBBCCFFwyQgKIYQQQgghhBBCGJwkKIQQQgghhBBCCGFwkqAQQgghhBBCCCGEwUmCQgghhBBCCCGEEAYnCQohhBBCCCGEEEIYnCQohBBCCCGEEEIIYXCSoBBCCCGEEEIIIYTBSYJCCCGEEEIIIYQQBmdi6ACEyK0rt+5zL8vM0GEIIYQQogBzsbMwdAhCCCGeQkZQCCGEEEIIIYQQwuAkQfEf5O7uztSpUw0dhhBCCCGEEEIIoZIExX/Q/v37+eyzz3LV9v79+/To0QNHR0esra1p2bIlV65ceaLdggUL8PHxwcLCgsKFC9OjR4/8DlsIIYQQQgghxBtMEhT/Qc7OzlhaWuaqbZ8+fVi7di3Lly9n+/btXLx4kRYtWui1iYqK4ssvv2TQoEEcPXqUzZs3ExQU9DJCF0IIIYQoUArKyFWNRsPq1atz3f7jjz/m/ffff+HzBQYG0rt37xc+XgjxZpIExRsoMDCQ8PBwwsPDsbW1xcnJiYiICBRFAXL/hzIlJYW5c+cSFRVF3bp1qVKlCvPnz2fXrl3s2bMHgJs3bzJ06FAWLVpE+/btKV26ND4+PjRr1uxlXqIQQgghRIGQl5GrhnTp0iUaNWpk6DAKjJUrV9KgQQMcHR3RaDTExcU90eby5ct06NABFxcXrKyseOedd1ixYsUz+42NjSU4OJhixYo9NWk0YsQIvLy8sLKywt7envr167N3794n2q1fv57q1auj1Wqxt7f/VwklIV4VSVC8oRYuXIiJiQn79u1j2rRpREVFMWfOnDz1ceDAATIyMqhfv766zcvLCzc3N3bv3g3Apk2byMrK4sKFC5QrV44SJUrQunVrzp07l6/XI4QQQghREOVl5Kohubi4YG5ubugwXroHDx7kSz93797l3XffZcKECU9tExoaSlJSEj///DMJCQm0aNGC1q1bc+jQoWf2W7FiRb7++uuntvH09GTmzJkkJCSwY8cO3N3dadCgAVevXlXbrFixgg4dOtCpUycOHz7Mzp07ad++/YtdrBCvkCQo3lCurq5MmTKFsmXLEhISQs+ePZkyZUqe+rh8+TJmZmbY2dnpbS9SpAiXL18G4NSpU2RlZTF27FimTp3KTz/9xI0bN3jvvffy7Q+AEEIIIcTr6HmjViFvUzyioqLw9vbGysoKV1dXwsLCuHPnjl6bnTt3EhgYiKWlJfb29gQFBXHz5k0AsrKymDhxImXKlMHc3Bw3NzfGjBmTq3M//rQ+ISGBunXrotVqcXR05LPPPnsiFoCRI0fi7OyMjY0N3bp1y9Pnv6ysLAYMGICDgwMuLi6MGDFCb39ycjLNmzfH2toaGxsbWrdurVcLLadpJr179yYwMFB9nf1v1Lt3b5ycnAgKCkJRFEaMGIGbmxvm5uYUK1aMzz//PNdxA3To0IFhw4bpPch73K5du+jZsye+vr6UKlWKoUOHYmdnx4EDB556TKNGjRg9ejQffPDBU9u0b9+e+vXrU6pUKSpUqEBUVBSpqanEx8cDkJmZSa9evZg0aRLdunXD09OT8uXL07p16zxdoxCGIAmKN5Sfnx8ajUZ97e/vz4kTJ9DpdPl6nqysLDIyMpg+fTpBQUH4+fmxdOlSTpw4wdatW/P1XEIIIYQQr5v8GLWazcjIiOnTp3P06FEWLlzI77//zoABA9T9cXFx1KtXj/Lly7N792527NhBcHCw+vlu8ODBjB8/noiICI4dO8aSJUsoUqRInuO4e/cuQUFB2Nvbs3//fpYvX87mzZsJDw/Xa7dlyxYSExPZtm0bS5cuZeXKlYwcOTLX51m4cCFWVlbs3buXiRMn8tVXX7Fp0ybg4WfM5s2bc+PGDbZv386mTZs4deoUbdq0yfP1LFy4EDMzM3bu3Mm3337LihUrmDJlCrNnz+bEiROsXr0ab29vtf2IESNwd3fP83keV6NGDX788Udu3LhBVlYWMTEx3L9/Xy+B8m89ePCA7777DltbWypWrAjAwYMHuXDhAkZGRlSuXJmiRYvSqFEjjhw5km/nFeJlMTF0AOL15eLiwoMHD7h165beKIorV67g4uICQNGiRQEoX768ut/Z2RknJyeSk5NfabxCCCGEEK9a9qhVjUZD2bJlSUhIYMqUKXz66ad57uvRopHu7u6MHj2abt268c033wAwceJEqlatqr4GqFChAgC3b99m2rRpzJw5k44dOwJQunRp3n333TzHsWTJEu7fv8+iRYuwsrICYObMmQQHBzNhwgQ16WFmZsa8efOwtLSkQoUKfPXVV3zxxReMGjUKI6PnPwf18fFh+PDhAHh4eDBz5ky2bNnCe++9x5YtW0hISOD06dO4uroCsGjRIipUqMD+/fupVq1arq/Hw8ODiRMnqq/Xr1+Pi4sL9evXx9TUFDc3N3x9fdX9Tk5OlC5dOtf9P82yZcto06YNjo6OmJiYYGlpyapVqyhTpsy/7nvdunW0bduWe/fuUbRoUTZt2oSTkxPwcIQzPEy0REVF4e7uTmRkJIGBgfz55584ODj86/ML8bLICIo31OOFcvbs2YOHhwfGxsa57qNKlSqYmpqyZcsWdVtSUhLJycn4+/sDULNmTXV7ths3bnDt2jVKliz5by5BCCGEEOK1l5+jVjdv3ky9evUoXrw4hQoVokOHDly/fp179+4B/4ygyEliYiLp6elP3Z8XiYmJVKxYUU1OwMPPfFlZWXqf+SpWrKhXX8Pf3587d+7kuhaZj4+P3uuiRYvy999/qzG4urqqyQl4+EDMzs6OxMTEPF1PlSpV9F63atWKtLQ0SpUqxaeffsqqVavIzMxU94eHh+t9/n1RERER3Lp1i82bN/PHH3/Qt29fWrduTUJCwr/uu06dOsTFxbFr1y4aNmxI69at1XuXlZUFwJdffknLli3VQvcajYbly5f/63ML8TJJguINlZycTN++fUlKSmLp0qXMmDGDXr165akPW1tbunTpQt++fdm6dSsHDhygU6dO+Pv74+fnBzws0tO8eXN69erFrl27OHLkCB07dsTLy4s6deq8jEsTQgghhHjjnDlzhqZNm+Lj48OKFSs4cOCAWigxu66DVqt96vHP2ve6MjU11Xut0WjUL9e5YWRkpFfvAyAjI+OJdo8mWuDhqJekpCS++eYbtFotYWFhBAQE5Hjsizp58iQzZ85k3rx51KtXj4oVKzJ8+HCqVq36zAKYuWVlZUWZMmXw8/Nj7ty5mJiYMHfuXCDnEc7m5uaUKlVKRjiL154kKN5QoaGhpKWl4evrS48ePejVq9cLLXE1ZcoUmjZtSsuWLQkICMDFxYWVK1fqtVm0aBHVq1enSZMm1K5dG1NTU3799dcn/ugIIYQQQrxp8mPUKjxcPS0rK4vIyEj8/Pzw9PTk4sWLem18fHye+mTfw8MDrVabL0/+y5Urx+HDh7l79666befOnRgZGVG2bFl12+HDh0lLS1Nf79mzB2tra71RD/8mhnPnzumNxjh27Bi3bt1Sv3g7Oztz6dIlveNyWu4zJ1qtluDgYKZPn862bdvYvXt3voxsyJY96uXxqS7GxsZ5SsLkVlZWFunp6cDDESPm5uZ6o10yMjI4c+aMjHAWrz2pQfGGMjU1ZerUqcyaNeuJfWfOnMl1PxYWFnz99dfPzPTa2Ngwd+5cNWsrhBBCCPFfkT1qtWvXrhw8eJAZM2YQGRmZ537KlClDRkYGM2bMIDg4WC3o+KjBgwfj7e1NWFgY3bp1w8zMjK1bt9KqVSucnJwYOHAgAwYMwMzMjJo1a3L16lWOHj1Kly5d8hRLSEgIw4cPp2PHjowYMYKrV6/Ss2dPOnTooFd088GDB3Tp0oWhQ4dy5swZhg8fTnh4eK7qTzxP/fr18fb2JiQkhKlTp5KZmUlYWBi1a9ematWqANStW5dJkyaxaNEi/P39Wbx4MUeOHKFy5crP7HvBggXodDqqV6+OpaUlixcvRqvVql/eZ86cyapVq56Z7Llx4wbJyclqEik7GeDi4oKLiwteXl6UKVOGrl27MnnyZBwdHVm9ejWbNm1i3bp1T+33zp07/PXXX+rr06dPExcXh4ODA25ubty9e5cxY8bQrFkzihYtyrVr1/j666+5cOECrVq1AlBXVBk+fDiurq6ULFmSSZMmAahthHhdyQgKIYQQQgghXlB+jVqtWLEiUVFRTJgwgbfffpvo6GjGjRun18bT05ONGzdy+PBhfH198ff3Z82aNZiYPHzmGBERQb9+/Rg2bBjlypWjTZs2al2CvLC0tOS3337jxo0bVKtWjQ8//JB69eoxc+ZMvXb16tXDw8ODgIAA2rRpQ7NmzZ5YKvRFaTQa1qxZg729PQEBAeqymj/++KPaJigoiIiICAYMGEC1atW4ffs2oaGhz+3bzs6O77//npo1a+Lj48PmzZtZu3Ytjo6OAFy7do2TJ08+s4+ff/6ZypUr06RJEwDatm1L5cqV1aSSqakpGzZswNnZmeDgYHx8fFi0aBELFy6kcePGaj+BgYF8/PHH6us//viDypUrq0mWvn37UrlyZYYNGwY8HIFx/PhxWrZsiaenJ8HBwVy/fp3//e9/asFUgEmTJtG2bVs6dOhAtWrVOHv2LL///jv29vbPvT9CGJJGeXzilijwAgMDqVSp0nPX3I6OjqZr16457itZsiRHjx59CdHlXWpqKra2tvx59gqFbGwMHY4QQgghCjAXO4t86yu3n7led+np6VhYWLBp0ybq169v6HD+U0qWLMnIkSP1khRCvImyv9OlpKRg84zvdDLF4w20bdu2XLVr1qwZ1atXz3Gf1I8QQgghhHjzpaamsnLlSoyMjPDy8jJ0OP8pR48exdbWNlejPoT4r5AExX9YoUKFKFSokKHDEEIIIYR44xly5OrYsWMZO3ZsjvuqVavGsWPHmDBhAiVKlMiX8yUnJ+utIPG4Y8eO4ebmli/nKsgqVKhAfHy8ocMQ4rUiUzzEayU9PV2tQJwtNTUVV1dXmeIhhBBCiH8tP6d45MXt27e5cuVKjvtMTU1f6uoKN27c4MaNGznu02q1FC9ePF/Pl5mZ+cyi7O7u7mrdDCHEf4NM8RAF0rhx4xg5cqShwxBCCCGEyFeGHLnq4OCAg4PDKzufiYkJZcqUeWXnE0K8OWQVD/FaGTx4MCkpKXo/j65/LYQQQghRkLi7uxf4IpqvG41Gw+rVqw0dhhDiJZAEhYFkZGQwe/Zs+vXrx4QJEwwdzmvD3NwcGxubJ36EEEIIIQqi/fv3v9Cyo+LNtG3bNjQaTY4/+/fvz/GYGzdu0LNnT8qWLYtWq8XNzY3PP/+clJSUJ9ouWLAAHx8fLCwsKFy4MD169HhmPO7u7mg0GmJiYp7YV6FCBTQaDQsWLHihaxXiRcgUjzz44Ycf8PT0pHr16owcOZIePXrg5OT0Qn0dPHiQK1euMH78+BxXzPjzzz+ZPXs2kZGRetvXrVvH+fPn6dat2wud92X5/vvvOXnyJA8ePMDKyooaNWrQqFEjQ4clhBBCCGFQzs7Ohg7hpXjw4AFmZmaGDuOVysjI+Ncr3dWoUYNLly7pbYuIiGDLli1UrVo1x2MuXrzIxYsXmTx5MuXLl+fs2bN069aNixcv8tNPP6ntoqKiiIyMZNKkSVSvXp27d+8+sxZINldXV+bPn0/btm3VbXv27OHy5ctYWVm92IUK8YJkBEUenD17lpIlS5KWlsbdu3dfODkBcP36dQoXLvxaLOepKApZWVn/qo/GjRszatQooqKi6NOnD/v372fv3r35FKEQQgghxOsnMDCQ8PBwwsPDsbW1xcnJiYiICB6tQZ+XKR5RUVF4e3tjZWWFq6srYWFh3LlzR6/Nzp07CQwMxNLSEnt7e4KCgrh58yYAWVlZTJw4kTJlymBubo6bmxtjxox57nlr1KjBwIED9bZdvXoVU1NTYmNj1esYNWoUoaGh2NjYqKNCBg4ciKenJ5aWlpQqVYqIiAgyMjLUfkaMGEGlSpWYN28ebm5uWFtbExYWhk6nY+LEibi4uFC4cOFcxfmoa9eu8cEHH2BpaYmHhwc///yz3v7t27fj6+uLubk5RYsWZdCgQWRmZqr7c/p3qVSpEiNGjFBfazQaZs2aRbNmzbCysmLMmDHcvHmTkJAQnJ2d0Wq1eHh4MH/+/FzHbWZmhouLi/rj6OjImjVr6NSpExqNJsdj3n77bVasWEFwcDClS5embt26jBkzhrVr16rXdPPmTYYOHcqiRYto3749pUuXxsfHh2bNmj03ppCQELZv3643rXrevHmEhIRIMVPxyslvXC6lp6dz69YtihQpQlJSUq6WRtq7dy+//vorqampFCtWjFatWuHm5saKFSvYtm0biqLQp08f6tWrR9OmTfMcU0ZGBjExMcTHx6PT6bC3t6dDhw64u7ujKArbtm0jNjaW1NRUSpQoQdu2bSlatCgAQ4cO5d133yU+Pp4LFy4wYMAALly4wPr160lNTcXCwoJatWrRuHHjXMXyePVnjUbD1atX83xNQgghhBAFycKFC+nSpQv79u3jjz/+4LPPPsPNzY1PP/00z30ZGRkxffp03nrrLU6dOkVYWBgDBgzgm2++ASAuLo569erRuXNnpk2bhomJCVu3bkWn0wEPa3l9//33TJkyhXfffZdLly5x/Pjx5543JCSEiRMnMn78ePVL8o8//kixYsWoVauW2m7y5MkMGzaM4cOHq9sKFSrEggULKFasGAkJCXz66acUKlSIAQMGqG1OnjzJL7/8wq+//srJkyf58MMPOXXqFJ6enmzfvp1du3bRuXNn6tevT/Xq1XN1r0aOHMnEiROZNGkSM2bMICQkhLNnz+Lg4MCFCxdo3LgxH3/8MYsWLeL48eN8+umnWFhY6CUgcmPEiBGMHz+eqVOnYmJiQkREBMeOHeOXX37BycmJv/76i7S0NLV9YGAg7u7uuZ4W8fPPP3P9+nU6deqUp7iyV0LITiBs2rSJrKwsLly4QLly5bh9+zY1atQgMjISV1fXZ/ZVpEgRgoKCWLhwIUOHDuXevXv8+OOPbN++nUWLFuUpLiH+LUlQPMehQ4dYvHgxWVlZZGRk0L9/fzVT2a9fP+rXr5/jVIYTJ04QExNDWFgYpUqVYvv27cycOZORI0fSsmVLzM3N//VUjb1793L+/HlGjhyJVqvl77//VkdkxMbGsmvXLrp3746joyOxsbF8++23REREqG9ke/bsoXv37jg7O5Oens64cePo1asXHh4e3Lt3j7///ls91+jRowkKCqJatWpPjWfp0qXs2bOHjIwMHBwc8PPze+FrE0IIIYQoCFxdXZkyZQoajYayZcuSkJDAlClTXihB0bt3b/X/3d3dGT16NN26dVMTFBMnTqRq1arqa3hYJwAeLmM6bdo0Zs6cSceOHQEoXbo077777nPP27p1a3r37s2OHTvUhMSSJUto166d3lP9unXr0q9fP71jhw4dqhdz//79iYmJ0UtQZGVlMW/ePAoVKkT58uWpU6cOSUlJbNiwASMjI8qWLcuECRPYunVrrhMUH3/8Me3atQNg7NixTJ8+nX379tGwYUO++eYbXF1dmTlzJhqNBi8vLy5evMjAgQMZNmwYRka5H0Tevn17veRBcnIylStXVqdjuLu767V3c3NTHwjmxty5cwkKCqJEiRK5PubatWuMGjVKr7bJqVOnyMrKYuzYsUybNg1bW1uGDh3Ke++9R3x8/HOn43Tu3Jl+/frx5Zdf8tNPP1G6dGkqVaqU65iEyC+SoHiOypUrU7lyZdauXYuJiQmNGjVi2rRpNGrUCE9Pz6cet2/fPnx9ffHw8AAevqHHxsZy5MiRZ37JzwtjY2PS09O5fPky7u7uFClSRN0XGxtLs2bNKFy4MAB16tRh48aNnDlzRl32KSAgQD3GyMgIY2NjLl++TIkSJbC0tNR7w330j8/TtGvXjjZt2nDu3Dni4+OxtLTMl+sUQgghhHhd+fn56X2J9/f3JzIyEp1Oh7GxcZ762rx5M+PGjeP48eOkpqaSmZnJ/fv3uXfvHpaWlsTFxdGqVascj01MTCQ9PZ169erl+RqcnZ1p0KAB0dHR1KpVi9OnT7N7925mz56t1y6nGgk//vgj06dP5+TJk9y5c4fMzMwnCpy7u7vrLbFapEgRjI2N9RIFRYoU0Xs49jw+Pj7q/1tZWWFjY6Men5iYiL+/v96/S82aNblz5w7nz5/P1UjobI9fc/fu3WnZsiUHDx6kQYMGvP/++9SoUUPdn5cRB+fPn+e3335j2bJluT4mNTWVJk2aUL58eb3RINkPU6dPn06DBg2Ahw8PXVxc2Lp1K0FBQc/st0mTJnTt2pXY2FjmzZtH586dcx2TEPlJalDk0okTJ/Dw8ECn03Hu3DneeuutZ7a/efMmjo6OetucnJzUOYLPY2xsrA7Xe9Sjf+x8fX3x8/Nj6dKlDBgwgEWLFqnzFK9fv86CBQvo16+f+nPv3j2989vb26v/b25uTvfu3YmPj+fLL78kMjKSpKSkXMX6KCMjI0qWLImFhQUrV67M8/FCCCGEEP9FZ86coWnTpvj4+LBixQoOHDjA119/DTwsSAmg1Wqfevyz9uVGSEgIP/30ExkZGSxZsgRvb2+8vb312jxeMHH37t2EhITQuHFj1q1bx6FDh/jyyy/VeLM9XnNNo9HkuC0vNdH+7fFGRkZ6tUIAvdoZ2R6/5kaNGnH27Fn69OnDxYsXqVevHv3798/1eR81f/58HB0dc1UnAh6OkmnYsCGFChVi1apVevcge9RG+fLl1W3Ozs44OTmRnJz83L5NTEzo0KEDw4cPZ+/evYSEhOTxaoTIHzKC4hkyMjIYNGgQAPfv32fWrFlqdnLQoEEUK1bsiWFu2ezt7bl+/bretuvXr+slBZ7FwcGBBw8ecPv2bb2M87Vr19TEh7GxMQ0bNqRhw4akpqYyb9481q9fT5s2bbC3t+fDDz9Uh/3l5PFCPF5eXnh5eaHT6di+fTuzZ89m8uTJeRoGl02n0+UpCy6EEEIIURA9XhR8z549eHh45Hn0xIEDB8jKyiIyMlL97PX4k3UfHx+2bNnCyJEjnzjew8MDrVbLli1b+OSTT/J4FdC8eXM+++wzfv31V5YsWUJoaOhzj9m1axclS5bkyy+/VLedPXs2z+fOb+XKlWPFihUoiqJ+3t25cyeFChVSp1I4OzvrraaRmprK6dOnc9W/s7MzHTt2pGPHjtSqVYsvvviCyZMn5ylGRVGYP38+oaGhuSqan5qaSlBQEObm5vz8889YWFjo7a9ZsyYASUlJ6jXeuHGDa9euUbJkyVzF1LlzZyZPnqx+lxDCEGQExTOYmpoSGRlJly5d8Pb2JjIykrp16xIcHExkZORTkxMA1apVY//+/Zw8eRKdTsfWrVu5e/fuMxMGj7K3t8fDw4MVK1Zw7949dDodR44cIT4+Xh1qlpSUxLlz59DpdJiZmWFqaqr+MQwICGDdunVcuXIFgLS0NA4fPsz9+/dzPF9qaipxcXHcv38fIyMjtFptrv+wXr9+nUOHDnH//n2ysrI4efIk27Zt08vgCiGEEEK8iZKTk+nbty9JSUksXbqUGTNm0KtXrzz3U6ZMGTIyMpgxYwanTp3ihx9+4Ntvv9VrM3jwYPbv309YWBjx8fEcP36cWbNmce3aNSwsLBg4cKA6qvbkyZPs2bOHuXPn5ur8VlZWvP/++0RERJCYmKjWd3gWDw8PkpOTiYmJ4eTJk0yfPp1Vq1bl+drzW1hYGOfOnaNnz54cP36cNWvWMHz4cPr27asmf+rWrcsPP/zA//73PxISEujYsWOuPvsOGzaMNWvW8Ndff3H06FHWrVtHuXLl1P2hoaEMHjz4uf38/vvvnD59Osdk0oULF/Dy8mLfvn3Aw8/pDRo04O7du8ydO5fU1FQuX77M5cuX1RHXnp6eNG/enF69erFr1y6OHDlCx44d8fLyok6dOrm6b+XKlePatWt5WpVEiPwmIyhyIS4uTh3iFh8fT5cuXZ57jKenJ61bt2bx4sWkpKRQrFgxevTokae6DJ07d2bVqlWMGjWKBw8e4OzsTJcuXdR5c6mpqcTExHDr1i1MTU3x8vJSV90IDAzEyMiI7777jps3b2Jubk7p0qUpW7ZsjudSFIWtW7fyww8/oCgKhQsX5pNPPlHfxEeNGkVQUBC+vr45Hv/777+zePFiFEXB1taW2rVrq/PfhBBCCCHeVKGhoaSlpeHr64uxsTG9evXSK16YWxUrViQqKooJEyYwePBgAgICGDdunN5IBk9PTzZu3MiQIUPw9fVFq9VSvXp1NZmQXQx92LBhXLx4kaJFi+apIHv2dI2AgIBc1Wlo1qwZffr0ITw8nPT0dJo0aUJERESeV8rIb8WLF2fDhg188cUXVKxYEQcHB7p06aJXU23w4MGcPn2apk2bYmtry6hRo3I1gsLMzIzBgwdz5swZtFottWrVIiYmRt2fnJycq9HHc+fOpUaNGnh5eT2xLyMjg6SkJO7duwfAwYMH1ZE62bXksp0+fVqtG7do0SL69OlDkyZNMDIyonbt2vz666+5GqGR7fEp6kK8ahrl8clXQrxmUlNTsbW15c+zVyj0WNElIYQQQoi8cLGzeH6jXAoMDKRSpUpMnTo13/oUQog3UfZ3uuwlcp9GpngIIYQQQgghhBDC4CRBIYQQQgghxEsWHR2NtbV1jj+5rVH2osaOHfvUczdq1OilnjuvDHmfhBCGJ1M8xGtPpngIIYQQIr/k5xSPvLh9+7ZavPxxpqamuV5p4UXcuHGDGzdu5LhPq9VSvHjxl3buvDLkfRJCvDy5neIhRTKFEEIIIYR4yQoVKqS3dPyr5ODggIODg0HOnVeGvE9CCMOTKR5CCCGEEEIIIYQwOBlBIQqMInYW2NgYZlimEEIIIYQQQoiXS0ZQCCGEEEIIIYQQwuAkQSGEEEIIIYQQQgiDkwSFEEIIIYQQQgghDE5qUIjXXvZKuKmpqQaORAghhBBCCCFEXmV/l8v+bvc0kqAQr73r168D4OrqauBIhBBCCCGEEEK8qNu3b2Nra/vU/ZKgEK+97HW7k5OTn/nLLPJPamoqrq6unDt3DhsbG0OH88aT+/1qyf1+teR+v1pyv18tud9CCJE7iqJw+/ZtihUr9sx2kqAQrz0jo4elUmxtbeWP/ytmY2Mj9/wVkvv9asn9frXkfr9acr9fLbnfQgjxfLl52CxFMoUQQgghhBBCCGFwkqAQQgghhBBCCCGEwUmCQrz2zM3NGT58OObm5oYO5T9D7vmrJff71ZL7/WrJ/X615H6/WnK/hRAif2mU563zIYQQQgghhBBCCPGSyQgKIYQQQgghhBBCGJwkKIQQQgghhBBCCGFwkqAQQgghhBBCCCGEwUmCQgghhBBCCCGEEAYnCQohhBAil9LT0w0dghBCCCHEG0sSFOKNduPGDa5du2boMIR4KRRF4fGFmGRhppcnKSmJYcOGkZmZaehQ/hMSExOJjY01dBj/KfL+IYQQwtBMDB2AEC/LqVOnaNCgAR999BFdu3alaNGihg7pjXbmzBlWr17N+fPn8fPz48MPPzR0SG+0xMREpk+fzvnz53nnnXeoW7cutWvXRqPRkJWVhZGR5J/zU3x8PNWrVyc9PZ06derQsGFDQ4f0Rjt8+DC+vr6MHj2agIAAQ4fzRkpOTmbfvn0kJydTr149vLy8MDc3N3RYBd5ff/3F2rVruXTpEnXq1OGdd96hSJEihg5LCCEKDI0i6XLxhpo1axY9evSgcuXKtGrVik6dOul9SFAUBY1GY8AI3xwJCQk0adIEDw8P7t27x969e4mMjKRPnz6GDu2NdPz4cfz8/KhXrx5OTk5s3ryZwoUL06hRI4YNGwbI73d+Onz4MP7+/nTq1Ilr165hbm7O7NmzsbCwkHv8EsTFxVGzZk3CwsKYNGmSocN5I2W/Z5cuXZq4uDhKlSrF559/TseOHeW94184cuQIAQEBVKhQgYyMDOLi4mjRogUdOnSgUaNGhg5PCCEKBHnEJt5Y/v7+hIaG0rx5c2bMmMHcuXNJSUlR98sHsPxx9uxZPvjgA9q1a8fGjRvZvXs33377LRMnTuTkyZOGDu+No9Pp+PbbbwkODmbFihXMnj2b2NhYateuzfLlyxk0aBDw8Pdb8s//3sGDB6lVqxZ9+/bl66+/pnr16qxdu5bLly/LPX4JTp48SbVq1ejXrx+TJk0iIyODpUuXMmHCBBYuXMipU6cMHWKBd+rUKZo1a0ZoaCjr1q3j77//pnTp0ixYsACQv40vKi0tjcGDB/PRRx+xbds29uzZw+rVq7l+/ToTJ05k1apVhg5RCCEKBJniId5YiqKwZ88eFixYgE6nY/bs2RQqVIht27ZRvnx5Ro0aZegQCzydTseSJUvw9PRkyJAhGBsbA+Dn54eJiQlZWVkGjvDNY2xsTHJyMjqdTt1WvHhx+vbti4WFBWvXrsXd3Z1u3brJF41/6datW7z77ruEhYUxevRoAHr06EF0dDSjRo1i7ty5co/zUVZWFitXrsTKygonJycAgoODuXTpEpmZmZw9e5ZatWrRo0cPmjZtauBoC6aMjAwWL16Mn58f/fv3x8LCAmNjY4YMGUKjRo1ITk7Gzc3N0GEWSGZmZly4cAE/Pz/1b2HDhg2xs7Nj3LhxfPfddxQrVozq1asbOFIhhHi9yQgK8caqXLkyJUuWJDk5mZEjR9K9e3eGDBnCli1bZE5zPjE2NsbPz4+KFStia2urbq9QoQLGxsZcunTJgNG9ebKf1lepUoV79+6RnJys7itcuDCffvopnp6erF69WlabyAd2dnbs2rWLyZMnAw/vv4mJCQ0aNOCPP/7g+vXr6nbx7xkZGdG+fXu++OILZs2ahZOTE2ZmZqxcuZKjR49y4MABUlNTmT17NhkZGYYOt0AyMjLC0tKSgIAA7Ozs1C/SWq2WO3fucOfOnSeOkUTz82VlZZGenk7RokXVwtzZSeTsZFBycjKrV68G5D1DCCGeRRIU4o12//59/ve//wEPC1dpNBq0Wi0JCQlcvnzZwNEVXFeuXCE5OZmsrCzq1KnDuHHjAP0PXUZGRnpfIn7//XdZUeVfyn5a36BBA/bs2cOsWbPURISiKBQvXpwBAwawceNGDh06ZMhQC7RHf08rVaqkt8/Y2JjPP/+cU6dO8f333wMyJD4/FS9enI4dO/Lhhx9Sq1YtRo0aRenSpQEoW7YsEyZMYP369SQkJBg40oLl1q1b3L59G2NjY3r27En37t2Bf5IPzs7OFC1aFCsrK/WY33//nbt370rB3VzITvw0btyYb775ho0bN2JsbKze31q1ahEeHs7XX3/N1atX5T1DCCGeQf7qiALv3r17TzxNy35yUb16dYyMjPj888/55ZdfiIuLo0ePHgwbNoyYmBi9YfIidxISEqhRowY///wzt27dAv5Z7lKj0ZCZmUlaWhpGRkbY2NgAMGTIEN577z0ePHhgwMgLppSUFG7fvg38c5+rVavGd999x8SJE5kwYQKpqanqB157e3sqVKiAVqs1ZNgF1uHDh/Hy8mLXrl1P7NNoNOh0OooWLcpnn33G+vXrOXfunAGifHOcPHmSadOmMXToUH7++Wdu3rxJiRIl6NatG/369aN8+fLAP7/7Dx48oGzZsri4uBg48oLj4MGDvPvuu5w+fRpFUdSVOhRFUZMP2SMAsv+Wfvnll3z22WekpqYaLO7X3fnz5/ntt99Yvnw5p0+fBh5OAWvXrh0ffvghO3fu1EvulClTBnd3d3XUihBCiJxJDQpRoB07doyePXvSp08fGjZsiInJw1/p7A8Anp6ehISE4OLiws8//0ypUqUYOnQoxsbGNGnSRD4o5NGff/5JnTp16NixIx999BF2dnbAP0+Qs5e3NDY2VofDjxo1iunTp7Nnzx6KFStmwOgLnmPHjvHxxx8TEhJCp06dsLGxUZ/ItWvXjrt37/LZZ59x/vx5PvjgA95++21mz55NSkoKhQsXNnD0BU/2ah09e/akRo0aObbJfs9o0KABc+bM4fDhw7i6ur7KMN8YR44coVatWvj7+3P8+HHWrVuHRqNhzZo1uLm5UaRIEfU9Pfs9ZtOmTTg7O0sCLpcOHz5MQEAAXbp0wcfHR2/fo0/x7927x/Xr11EUhVGjRhEZGcmOHTtkee6nSEhI4L333sPNzY2DBw9SuXJl/Pz81ILcaWlpNGjQgFmzZhEQEICrqyu//fYbRkZGMiJFCCGeRxGigDpz5ozi5eWlGBsbK+7u7srGjRuVjIwMRVEUJSsrS1EURfnzzz+VIUOGKIcOHVIURVF0Op2hwn0j9O/fX2nTpo2iKA/v8U8//aRERkYqK1asUG7duqW2y8rKUipVqqT4+voqZmZmyh9//GGokAuss2fPKj4+PoqDg4NSoUIFZfbs2UpKSoqiKP/8fiuKomzYsEGpVq2a4uLiopQtW1Zxd3dXDh48aKiwC6wjR44oFhYWyogRIxRFeXiPL168qN7L7PeOzMxM9ZgGDRootWvXVnQ6nd6/iXi++/fvK40aNVK6dOmiKMrD+7pp0yalbt26irOzs3LixAlFUf75XT906JAyaNAgxcbGRomPjzdY3AVJfHy8YmtrqwwcOFBRlIe/w2fOnFGSkpKUixcvKoryz/29cuWK4uPjo7Rq1UqxsLCQ9+xnuHXrllKxYkWld+/eyq1bt5Tz588ro0aNUipUqKA0bdpUbdevXz/FwcFBcXNzU6pWrao4OjrKe7MQQuSCJChEgfTgwQNlypQpyvvvv6+cPXtWadiwoeLi4qKXpMh27949A0X55mnevLkybdo0RVEUxc/PT6lVq5ZSsmRJpVKlSoqfn59y5coVRVEU5fLly0qhQoUUU1NT+TLxAnQ6nTJnzhylcePGSlJSktKlSxelTJkyekkKnU6nfmm+fPmycuTIEWXPnj3K5cuXDRl6gZSSkqLUrVtXcXR0VLe1atVK8fHxUYyMjBRfX19l7ty5SlpamqIo/yQrVqxYofz1118Gibmgu3v3rlK1alXl22+/VbfpdDrlr7/+Uho0aKCUKFFC+fvvvxVFUZTk5GSlWbNmyttvv63ExcUZKuQC5e7du4qdnZ1SqlQpdVvr1q2VqlWrKg4ODoqXl5fy008/qfvOnz+vmJubK3Z2dmpCX+Ts7Nmziqenp7Jr1y512+3bt5Vly5Ypnp6eSqtWrdTtO3fuVJYvX65ER0crp0+fNkC0QghR8GgURUoJi4JHp9Oxa9curl69SosWLYCHy3nFx8ezcOFCAgMDMTU11Tsme/qByDvl/+tLdOjQAVNTU8qVK8fmzZtZtGgRVlZW7Nmzh9GjR+Pg4MCSJUuwsLAgJiYGb29vKlSoYOjwC6Q///yTpKQkgoODAfjkk0/Yvn07X3zxBW3atMHW1pasrCw0Go0UXPuXMjIymDNnDkuWLMHZ2Zm///4bBwcHOnTogKenJ6NGjeLUqVMMHTqUFi1aoNPpZHpYPmjUqBGWlpasWLFCb/uRI0fo2rUrnp6ezJ49GzMzM/766y+0Wi3Fixc3ULQFz7JlywgNDSUsLIwDBw5gZmbG559/TmZmJtu2bWPGjBmsX7+eRo0acf/+ffr160fPnj3x8vIydOivtZs3b1KlShV69OhBv3791O3p6en8+OOPTJ48mW7duhEWFmbAKIUQouCSBIUoUE6ePMn169fx9fXN8UtCw4YNOXz4MIsWLaJu3boYGxuzfv16AgMD9aqTi9w5efIkN27coFq1agDMnDmTVatWYW1tja+vL19++aXadu7cuURFRbFx40b5EpEPckqoPZqkaNu2LTY2Nvzwww80b95cLUgqXkx6ejrR0dFMnToVR0dHoqOj1ZopiqJQs2ZNihQpwqpVqwwc6Ztj5syZLFiwgN69e9OuXTu99/Nx48YRExNDbGys3hLG4vke/du4bNky2rZtS40aNVi9ejVOTk7Aw1U9PvnkE3Q6HT/88APW1tZqIlo8W3p6Ol27duXKlStMnDgRb29vdd+9e/do164dlpaWLF261IBRCiFEwSVFMkWBcfToUQICAqhUqRJr1qzB2tpa3ZeZmYmJiQm//vorjRo1omPHjsydO5fVq1fz+++/ExsbKwmKPMrpfnfo0IHo6Gi2bt2qd/8BfHx80Ol0slLHCzp79iy//fYbaWlpVKtWTa9IY/YXjjlz5vDJJ58wadIksrKy+OOPP1i9ejUBAQGSoMij8+fPqyt1eHl54ePjQ/v27bG2tsbGxkZdJSL7vaV69erExcUZMOKC7fLlyyQlJWFmZkbhwoUpXbo0HTt2ZOPGjcyYMQOtVktwcDBmZmbAwxWY5syZQ2pqqiQocunmzZtkZGRw69YtPD09AWjdujVOTk789ddf2Nvbq0kIOzs7rKysuHTpkvpeLsmJ3DE3N6d///7Ur1+f0aNHM3bsWHUpXEtLS2rXrk10dDT37t3D0tLSwNEKIUTBIwkKUSDExcXh7++Pp6cnSUlJXLt2DWtra/Ups4mJifpF4pdffqFx48Y0adIES0tLtm/fLpXI8+hp99vW1pYNGzZQu3Zt1q9fz+TJk/n8888xMjJi9erV2NnZYW9vb+jwC5z4+HiaNm1KiRIlSE1NZdKkSaxevZqqVasCD1eOyP79njNnDp9++ilhYWFYWVmxfft2SpYsaeArKFji4+Np3rw59vb23Lx5k+LFizNnzhy8vLxo2bKl3uiV7FUkLl++zNtvv032oEP5Mpd7CQkJNGvWDEdHR27fvs3du3eJiIiga9eu/PDDD7Ro0YLIyEj++usvevfujU6n45dffsHOzk6SE7mUkJBAp06dyMrK4vr161SvXp3Bgwfz9ttvU7duXWrVqqWOqshOUmg0GipWrIhOp8PIyEh+p3MpKyuLt99+mzVr1lCvXj2ysrIICwujTp06ABw/fpwSJUqo7x1CCCHyyFDFL4TIrUOHDilWVlbK8OHDFUVRFG9vb+Wjjz7KsW12gczevXsrDg4OytGjR19VmG+MZ93v7IrvN27cUBo1aqR4eXkpjo6OSr169RQHBwcprvYCzp8/r7i5uSlffvmlcv/+fSUhIUHx9fVVfvnllyfaZq8g0atXL/n9fkFnzpxRihUrpgwZMkRJTU1VfvvtN8XLy0vZu3dvju3T0tKUIUOGKC4uLsrx48dfcbQFX/bv9+DBg5Vbt24pR48eVfr06aNoNBpl1KhRiqIoys2bN5VPPvlE8fHxUaysrJQaNWrIigd5cPLkSaVo0aJKRESEsmPHDmXHjh1K8eLFlUqVKilLlix5onD0zZs3lYiICMXZ2VlJTEw0UNSvP51Op7dqT/Y2RfnnvfiPP/5QKlWqpLzzzjtKxYoVlebNmys2NjZSzFUIIf4FSVCI11pSUpJiYWGhDBo0SFGUhx8Ohg8frlSsWFE5e/asoijKE8v7ff/994pGo5Fl0l5Abu53enq6oigPq8Tv3r1bmTx5shIdHS2rGbygNWvWKDVr1lTu3LmjbmvUqJEyePBgZdiwYcrq1av12i9ZskR+v/+FuXPnKvXr19dbcrhBgwbKtGnTlO+//17ZuXOnoij/LKPbuHFjpXjx4vJl+QX98ssvSp06dfRWU1q3bp1ibm6uGBkZKePHj1cU5eFqSydPnlS+//57ZfXq1cqpU6cMFXKBM2PGDKVx48ZKZmam+ns9depUxcjISKlRo4ZesjM2NlZp37694uLiIr/Tz3D06FElJCREqVevntKtWzdl3bp16r7s5ET2f8+ePausXLlSCQ8PVyZMmCBJHyGE+JckQSFea0uXLlVmzpypt+3MmTOKtbW1MmbMmByPOXHihCzn9YJye78ff6okXtzy5csVY2NjZd++fYqiKMq4ceMUY2NjpVmzZkqzZs0UjUajfPPNN2r7+/fvK8nJyYYKt8CbNWuW4uzsrI4+GTt2rKLRaJTAwEClZs2aikajUVauXKkoysPlR0eOHKkkJSUZMuQCLTo6WilUqJBy8uRJddu+ffuU9u3bK8OHD1fMzMyUHTt2GDDCgi88PFzx9/dXFOWfhP3ixYuVTp06KRUqVFACAgLUtocOHVJmzJghv9PPcPz4ccXW1lZp27atMmjQIKVixYpK1apVld69e6ttshP1jz8gEUII8e9JgkIUKNlfjAcPHqxUrlxZEhEvmdzvl+PKlSvq/586dUpp0aKFotFolObNmysajUZZt26d+sF3/PjxirOzs3Lu3Dn5MJwPdu3apdSvX19xdnZWWrVqpWg0GuXnn39WMjIylLt37yo9e/ZUKlWqpFy6dMnQob4R/vjjD6VmzZpKnz59lJ07dyp//PGH4uDgoAwaNEi5d++eUqtWLeX77783dJgF2rp16xQnJyflhx9+UBRFURITExVLS0slOjpaOX/+vGJtba38+uuvantJMD9dVlaWMmTIEKV169bqttTUVGX06NFKpUqVlE8//VSv/erVq/Xez4UQQvx7Rs+vUiGEYWRmZj6xLbvIV2BgIKdOneLIkSPAw6JV4sWkpaWRnp7OnTt31G3K/xcClPud/44dO4aLiwvDhw8H4K233mLatGn89ttvtGjRgubNm9OkSRO1ffHixSlSpAiWlpZSxO4FJCQksHjxYvX9xN/fn9GjRzNz5kzeeecd2rdvT3BwMCYmJlhaWuLm5oaxsTF2dnaGDbyAun79On/99Rf79u0DoEqVKjRr1ow//viDRo0a0bhxY0JDQxk3bhxarZZ79+5x+PBhA0dd8Dz6Hly5cmU6duxIt27dqFChAu+88w5dunShffv22NjYYGtry82bN9X2jy/PLf6h0Wi4ePEily9fVrcVKlSIzz//nI8++ohDhw4xfvx4ANavX094eDjTp0+Xv4lCCJGPJEEhXiunTp1i4cKFwMPq+U/7o9+gQQOCgoIYMWIEd+/eVSvui7w5cuQIbdq0oVatWrRt25ZRo0YB/6xQkJ2okPudP+Li4qhRowaFCxdmz549XLx4EYASJUrw3nvvYW5uzl9//cX169fVf4MjR47g7OwsXypewOHDh6lYsSInTpzAxMRE/X2uXr06rVu3xtbWlgsXLpCWlqYec+nSJYoWLYpOpzNU2AXWkSNHaNSoER988AF169alR48eAAwYMIAFCxawdetWNmzYwJQpU1AUhdTUVJydnalSpYqBIy84Tp8+zZkzZzAyMlL/PhYrVoyIiAg2bdrE4MGDWb16NdOnTwfg7t27lChRAmdnZ0OGXSBkvz+888476HQ6kpKS1H2FChWic+fOVK5cmbVr1/LgwQOaNGlC586d6dy5s/xNFEKI/GTQ8RtCPOLPP/9UnJyclBIlSigzZsxQtz9azE5R/pnzuWrVKsXZ2Vn5/fffX2mcb4rjx48rjo6OSr9+/ZTvvvtOGTt2rKLVapXQ0FC1IKaiyP3OL3FxcYpWq1VGjRql7NixQzExMVE2bNigKMo/v+O7d+9WfH19ldDQUGXq1KlKeHi4Ymdnpxw+fNiQoRdIhw8fVrRarVrwNSfLly9XypUrpwwfPlxZvHix0r9/f8XOzk6Jj49/hZG+GY4eParY2dkpgwYNUmJjY5WFCxcqtra2ypEjR3Jsf/XqVWXYsGFKkSJFpMBuLh0/flzRaDSKlZWVWkPiWdM1dDqdMmDAAOWtt95SLly48KrCLPD++usvxcnJSencubNy+/ZtRVH++TuYnJysaDQaZe3atYYMUQgh3miySLN4LVy/fp1evXrh7++Po6Mj0dHR6HQ6evXqpT4pyn5Ckf1kuUGDBpQtW5aSJUsaMvQCKSsri++++47333+fyZMnA5Cens7Bgwf54YcfuHPnDtHR0VhYWJCVlYWxsbHc73/hyJEjVK5cmSFDhjB06FAAPvjgA8aNG4efnx/29vYA+Pn5ERoaytq1a/n666/x8vIiNjYWb29vQ4Zf4Jw6dYpKlSrRu3dvxo0bh6IoTJs2jYSEBJydnalcuTJt2rThww8/ZN++faxZs4aUlBTc3d3Zvn273O88unLlCh999BFdu3Zl3LhxwMOpS1WrVuXu3bts3bqVd999F1NTUwDOnDnDkCFD2LJlC7/++iulS5c2ZPgFwrVr1+jTpw/NmjUjLS2Nd999l9jYWLy8vPT+PmaLjY1l3rx5rF27ls2bN1OsWDEDRV7wlC5dmmXLltGoUSO0Wi0jRozAyckJAFNTU3x8fHB0dDRwlEII8eaSBIV4bTg6OtKuXTvefvttxo4dS0xMDECOSYqMjAwsLS3Ztm2bDH1/AUZGRhw5ckT90KrT6TA3N6datWo4OzuzePFiBgwYwPTp0zE2Nkan08n9fkGZmZls3LiRr776Sk1OALz33nuMHj2as2fPYm9vz4MHDzAzM6NHjx506NCBrKwsTE1NsbKyMmD0BdPNmzfRaDRkZmaSkpJCcHAwGRkZ2NnZcerUKRYtWsTRo0f56quvmDhxIsnJyZiZmaHVarG1tTV0+AWOVquldu3atG7dWt02b948du7cSZcuXbh06RLly5dn0aJFuLu7U7JkST755BO++uorypQpY8DIC44zZ85QrFgxWrVqxdtvv03Xrl2pXbs227dvx8vLC51Op/feXKlSJUqVKsWuXbsoW7asASMvmOrUqcPy5ctp1aoVly5donXr1vj4+LBo0SL+/vtvXF1dDR2iEEK8sTSK8v+T7oQwsOvXr6tPJU6fPs348eOJj4+nbdu29OrVC3iYmMh+Cif+nWHDhrF3717GjBlD1apV1afOs2fP5u7du0yaNIlNmzbh5uZm6FALvJSUFPWLr6Io6iggb29vypUrx7JlywByfBIqci8tLQ1zc3OMjIzYuXMnjRs35v79+zRr1oyoqChcXV25evUqc+bM4fvvvyc6Ohp/f39Dh/1GuH//PhYWFgAsX76c7t27891331GtWjUsLS3x9vbmww8/VGsjiLzbv38/1apVA+DcuXN069aN/fv3642k0Gg0pKWlYWlpqfdeI17MwYMH6du3L2fOnMHExARjY2NiYmKoXLmyoUMTQog3lnwSFgZz6tQpNm7cqL7OTk5kZmby1ltvMWTIELy9vYmJiVE/1Hbv3p0xY8YYJN6C7vH7XbduXdLT0/noo49o0qQJb7/9Nh999BHt2rWjevXqnD9/nmvXrhkw4oLtxIkTREVFAeg9lddoNGoBxp49e5KQkMAff/wBIMmJf+Ho0aMEBwerv7M1a9Zkw4YNBAYG0rVrV/WJp7OzM82aNePKlStcunTJkCEXaCkpKZw8eZKrV6+SmZmpJicAihQpwqZNm2jRogWurq44OjpSp04dzp8/b8CIC77s5ASAq6srs2fPplq1agQEBHD8+HGMjIz46quvWLVqlawqkU/eeecdfv75Z7Zt28aqVavYuXOnJCeEEOIlk0/DwiDi4uLw9PTkwoULT+zLrrZfsmRJvvzyS3x8fPjxxx+pXr06ixYt4r333jNAxAVbTvc7MDCQiRMnEhYWhre3N7Nnz+abb74B4MGDB3h6euLg4GCokAu0+Pj4/2vvzqOaurY/gH+TMEoYLPhUBEUoggha61hxYJQ6UCsWBYuipQzOPhRRK6JU9FWhvEJttZZBqxZBtA7LYQkm+lpxqALVVkFBRIEWbWUQmULO7w9/uSUmIAiaB29/1srq4t5z79k53FDvzrn7YNy4cbhx44ZcJXj23PKtTk5OePjwIdLT01USZ1eRk5ODsWPH4uzZs1xSCHiWpEhMTMTYsWMB/D3+QqEQAwcORM+ePVUSb2d348YNuLq6wt3dHYMHD8bevXsB/D2+48ePl7uJk0gkqK2txVtvvaWKcDul/Px8bN++HSEhITh9+jTu37/P7ZMlOE1MTLhZKs7OzvD29sbGjRsxdOhQ8Pl8mj3RQfT09GBmZgY7OzuuFgUhhJBXhx7xIK9dTk4O7O3tERQUxBVobEr2LK1seuqdO3fg4uKCyspKKmD3El403soEBwdDLBYjPT2dkhRtVFJSAnt7e3h4eCA6OlppG8YYGGPg8/nYtm0boqOjIRaLYW1t/Zqj7fxycnIwevRoLFy4kHu0IyMjA9ra2s0es3btWhw5cgQZGRno1avXa4y288vLy4O9vT3mzJmD2bNnY+fOnThx4gTu3LnDjfnzjxaEhYUhMTERYrGYak60wo0bNzBhwgSMHj0a9fX1yMrKwjvvvIMlS5Zg4sSJACBXc+Lu3bvc7Ir09HRKBBFCCOnUqEgmea1u3bqF8ePHw8/PD1FRUWhsbERaWhpKS0uhpqaGhQsXcv/o4vF4qK+vx/bt2/Ho0SNkZmZScqKNWhpvgUCARYsWgcfjcTcUFy5cwI4dO3Ds2DGIRCJKTryE3NxcWFpaIjo6GhKJBMuXL8eDBw9QVlaGpUuXwsHBQe6m2MbGBn369IGBgYHqgu6krl69ivHjxyM4OBiRkZH47bff8Pnnn2Pv3r3w9/dXaP/zzz8jISEBycnJEIlElJxoo8bGRkRHR8PNzY2bqdKvXz+UlpaiqKgI3bp1g66uLncti0Qi7N69GydOnMDp06cpOdEKjx8/RmBgIBYtWoSIiAgAwIkTJ/Dee+/h7t27CA8Ph6enJ5fEZ4whKioKlZWVyMrKwqBBg1T8DgghhJD2oQQFea2+++47VFVVwdHREY8fP4anpyeqq6tRVlaGuro6xMbG4sSJE7CwsIBUKkVDQwN+++03iMViSk68hBeNd1xcHDfejY2NMDIyAmOMlrZshwcPHuD333/H06dPMWXKFAgEAkyYMAHZ2dnYsGEDZs2ahRUrVkBPTw8AMGXKFIwaNYqmDrdRTU0NVq1ahYCAAERGRkIqlcLKygq+vr44dOgQpk+fLjemJSUlOHXqFHJzcyEWizF48GAVRt85CQQCVFZWQkdHh1t1Ji4uDunp6XjvvfcgkUgwZswYbNy4Ef369UNNTQ14PB7EYjFsbGxUHX6nUFNTg+rqajg5OYExBqlUCjc3N9jb2wMAvvnmG1haWuKtt94Cj8fDrVu3UFxcjIsXL1JyghBCSJdAj3iQ187f3x9isRhqamqwsLBAbGwsDAwMUF1dDS8vL9TW1uLnn3/mpgg/v3waaZu2jjetlNI+J0+eRHBwML788kts374dO3bswD/+8Q8AwKeffopdu3bhzJkzsLKyolU72kEqlaKkpAQmJiZy2/fv3w9/f3+cPXsWo0aNknvcoLS0FFpaWujevbsqQu4SFi9ejKNHj2LmzJmorq5GYmIikpKSMG7cOGRkZCAuLg4BAQHw9/dHfX09pFKpXAFN0rLr169j7NixOHjwIFdv6fbt2/D29sbcuXMRFRWF4OBgLF++nDumqqoKurq6KoqYEEII6ViUoCCvXFFRETQ1NeUK0vn7+yM7Oxt79+6VW6NdJBLhgw8+wIkTJzBq1CgAis8zk5ZVVVVBXV1d7qagLeNN2m/o0KG4e/cuTExMIBaL5b7J79evHxYvXoyQkBAVRtg1NE3wNP07MXHiRPD5fPzwww90c9xBmo71woUL0a1bN2RmZsLV1RUbNmzg2o0dOxYmJiZITk5WUaSdn5+fHw4dOoR169ahW7duWLVqFebNm4e4uDh88sknyMjIwI8//gjgWVFpQgghpCuhr+7IK5WdnY1hw4bh3LlzAP6uPr5r1y589tln6NevH4C/q7/X19fDyMhILplByYnWu337NlxcXLBnzx48ffqU296W8Satl5+fj88++wx+fn44cuQInjx5AgCIjY2Fubk5/vjjDxQWFnLta2trYW5ujv79+6so4s7t/v37SE5ORlRUFG7cuAE+n89dy03/TkyZMgUFBQUoKioCAFpy8SVVVFSgoaEBwLMlcCUSCQDgq6++QlRUFExNTbnZQbK/7X369IGVlRXou4+2k43Z559/jnnz5uGrr77Crl27sHLlSsTFxQF4di3r6OhATU2NkhOEEEK6JEpQkFcmJycHY8aMga+vL2bOnAkAco9qODk5cd9uym4u0tPTqWBgO+zevRtXrlxBcnIy0tLSUFNTw+2j8e5Y169fx7hx4yAWi1FQUAAPDw9kZGQAAIYPH47169dDT08PPj4+SEtLw7lz57Blyxbk5eVh2LBhKo6+87l+/TocHR0RExODr7/+GiNGjIBIJOKKvDYVGBiIuro6rpAjPUbTdr/++issLCzw2WefcQke2RLQMurq6oiPj0dJSQkKCgoQERGBs2fPYvbs2ZRYfgk8Hg+NjY3Q19dHTEwMMjIycPbsWYSHh3NtysrKYGlpicbGRkoCEUII6ZoYIa/AzZs3maamJtuwYQNjjDGJRMIyMzPZ0aNH2c2bN5lEIpFrf+3aNRYSEsL09fVZTk6OKkLuEo4dO8Zmz57NvL29mZWVFUtKSmKNjY0K7Wi82+f27dusT58+bN26day2tpYxxtiMGTPY+vXrmVQq5drl5uYyZ2dnZmZmxiwsLNiQIUPYtWvXVBV2p5Wfn89MTU3Z6tWrWXl5OauurmYLFy5kNjY2rLy8XK6t7G/LmjVr2KhRo1hlZaXc74S82IMHD9jbb7/NbGxsmKamJouMjJQbQ9nflHv37jE7OzumpaXFbGxsmLW1NcvKylJR1J2f7Nq9c+cOMzMzY+np6dy+wsJCtmLFCqavr89+/fVXVYVICCGEvHI0P5B0uNraWoSHh0MoFMLDwwMA4OHhgTt37uD3339HVVUVV32/b9++yM/Px549e3Dy5EmcO3eOquu3A4/HQ1lZGc6cOYOZM2ciKioKBgYGSEtLg6urK+bMmYM7d+7QeLdDfX09du3ahWnTpmHt2rXQ1NQEAGhqaiIvLw9Tp06Fs7MzHBwc8PbbbyM9PR15eXnQ1NSEUCiEoaGhit9B59LQ0IAdO3ZgzJgxWL9+PbS1tQEA7u7uOH36tEJ72SwtLy8vBAYGUvHANpJKpTh//jz69++PDRs2IDMzE0FBQQCANWvWgMfjcTNS+vbtiytXriAlJYV7tKNPnz6qDL9TEwgEKCoqwjvvvAN3d3c4OTkBeFbc9bvvvkNGRgZEIhGtiEIIIaRLoyKZ5JVIT0/H119/jcePH6O4uBiWlpZYt24dLC0tkZaWhtDQUKxevRqhoaGoqanB/fv3oauri969e6s69E6tpqYG7u7uOHnyJNTV1eHj44MTJ05AKpXi1KlTGD16NGpra1FUVETj3Q5Xr15FXV0dxowZAwCIiIhAZGQkPv74Y/B4PJw8eRJjx45FbGws9PX1VRxt5xcfH4/8/Hxs3ryZ21ZWVobBgwdDJBJhwIABtNJPB8rNzUVBQQEmTZoE4NnSlgsWLMCnn36K1atXcwkKiURCdRA6kFQqRXR0NO7fv48vvvhC7jGZgoICCIVCruYHIYQQ0lXRvyxIh2L/X0nfxcUFAoEAmzdvhrm5OeLi4rjCgAEBASgtLUVUVBQCAwNhYGCAAQMGqDjyrqO4uBiXLl3C2LFjIRAIUFtbC2NjYxQWFsLOzg46Ojo03u3UtIbE/fv3kZWVhcOHD2PSpEng8XhISUnBhx9+iNDQUEpQdAA/Pz+FbVKpFAKBAGpqalxyIisrC1ZWVujWrdvrDrFLsbKy4lb7kUqlCAgIAI/Hk5tJIZFIkJqaCltbW5qF1UH4fD4WL17MzRIC/v5/qrm5uQojI4QQQl4fSlCQDiUrWMfj8eDo6AgdHR388ccf6Nu3L4Bnld4FAgEMDQ1hYmICoVCo4oi7DolEAm1tbdjb20NLSwsLFy5ERkYGLly4gG3btiE4OBg8Hg8zZ86kAnYdQHad9+nTB0lJSdDX1+eu7169esHGxoYeL+hArMkyolKpFPX19VBTU4OOjg4AIDQ0FImJibh58yYlKDqAbLxlsyX8/f0BAEFBQWCM4d69e0hNTUVOTo4qw+xymiYnAFrFihBCyP8eSlCQDsfj8VBfXw8NDQ0MHToUT5484b7hlP03NzcXlpaWkEgkEAgE9I+wdmpsbOSmWpubm2PkyJHo1asXjh49irfeegv79u3D/PnzMXz4cBrrDiBLRFRWVkIgEHCzJGTX9/Hjx2FoaAg9PT1VhtllyMa7qqoKPB4PQqEQmpqaaGhogFQqRVhYGLZv346zZ89SjY8O0HS8AXCJNn9/f0ilUixYsAD6+vpIT0/nks+EEEIIIR2B1l4jHa6xsREaGhq4e/cuBgwYgKysLG5fSUkJwsLCsHfvXmzYsAFaWlp0w9xOspuJgoICWFhYwMjICPPnz8fx48cxfPhwNDY2AgASExNhYWGh4mg7P9l4FxYWYsiQIbh8+TK3T3Z979q1i+pPdJCm4z148GBcuXIFwLMlLw0MDLBkyRJs3boV586dw8iRI1Ucbef3/Hj//PPP3L76+nrk5ORAX18fFy5coOVyCSGEENLhaAYF6XCySuSjRo2Cu7s7HB0dAQDXrl1DcHAw7t27h7Nnz1Il8g4iG+/Ro0fj/fffh5+fH7y9vblvPal4YMeSjffIkSPh7u4OBwcHAEB2djbWrFmDgoICiEQi2NraqjbQLkLZeDPG8Ndff+HWrVt48OABLl++jCFDhqg61C6huesbAEQiEdLS0nDmzBkMHDhQdUESQgghpMuiVTxIh2upEvmxY8cwaNAgKvjVgZqO9+eff05V9V+xlq7v06dPw8rKCmZmZqoLsItpabwjIiIwffp02NnZqTDCrqWl8S4pKYFAIEDPnj1VGCEhhBBCujJKUJBXoqamRmklcvJqPD/e5NWi6/v1ovF+vejvCSGEEEJUhRIUhBBCCCGEEEIIUTkqkkkIIYQQQgghhBCVowQFIYQQQgghhBBCVI4SFIQQQgghhBBCCFE5SlAQQgghhBBCCCFE5ShBQQghhBBCCCGEEJWjBAUhhBBCCCGEEEJUjhIUhBBCCCGEEEIIUTlKUBBCCCGEEEIIIUTlKEFBCCGEEEIIIYQQlaMEBSGEEEIIIYQQQlSOEhSEEEIIIYQQQghROUpQEEIIIe2QmZkJgUCAKVOmcNv++OMPqKurIzk5Wekxfn5+ePvtt7mfKysrERYWhkGDBkFbWxuGhoYYMWIEtm7disePHzfbd1JSEng8Hng8Hvh8Pnr37o1Zs2ahqKhIrp2DgwPXrukrKChIrt3x48cxYcIE6Orqolu3bhgxYgSSkpLk2ojFYvB4PJSXlyvEY2Zmhn//+9/cz8r65PF4cuOya9cuDBkyBEKhEAYGBhg6dCi2bNnCna+5c/B4PMybN69V/chilo2Tvr4+hg4dilWrVqG0tLTZ8b169Sp4PB4uXryodL+zszM8PDwAAPPmzeP6UFdXR//+/bFq1SrU1tYqHPfgwQNoaGjA1tZW6Xll53m+37q6OhgaGoLH40EsFjcbd9NYmr7effddro2ysTUxMWnT/qa/awDIysqCp6cnevbsCS0tLVhaWsLf3x95eXkAgMLCQvB4PGRnZ8v9rOwle++ya7xp7ABQXl6udBxEIhEmT54MQ0NDdOvWDTY2NlixYgWKi4vh5+cHOzs71NfXyx1z4sQJaGho4Nq1a0rH8+7du5g9ezaMjY2hpaUFExMTTJs2Dbdu3Wp13zKNjY2IiYmBnZ0dtLS00L17d0yaNAk//fST3Lk6+rNNCCGdBSUoCCGEkHaIj4/HkiVLcP78eZSUlAAAevbsiSlTpiAhIUGhfXV1NVJSUuDn5wcA+OuvvzB69GgkJiZi5cqVuHTpEq5du4bIyEhkZWVh//79Lfavp6eH0tJSFBcXIy0tDbm5ufD09FRo5+/vj9LSUrnX1q1buf1xcXGYNm0a7O3tcenSJfzyyy/w8vJCUFAQVq5c+dLjk5iYqNDv+++/DwBISEjA8uXLsXTpUmRnZ+Onn37CqlWr8OTJEwDAlStXuGPS0tIAALm5udy2L774olX9yOTm5qKkpARXrlxBaGgo0tPTYWtri+vXryuNfdiwYRgyZIjS32NhYSFEIhH3ewSAd999F6WlpSgoKEBMTAx27tyJ8PBwhWOTkpIwc+ZMVFZW4tKlS0r7NjU1RWJioty2w4cPQygUKm3/PFksTV/ff/+9XJuIiAi5/VlZWW3a39Tx48cxevRo1NXVYd++fbh58yb27t0LfX19hIWFtRhrenq6QqzDhg3j9qupqSE9PR0ikajF8+zcuRMuLi7o1asX0tLS8Ntvv2HHjh2oqKhAdHQ0YmJiUFVVJfc7KS8vh7+/P8LCwuSShjINDQ1wdXVFRUUFDh06hNzcXBw4cAB2dnZySboX9Q0AjDF4eXkhIiICy5Ytw82bNyEWi2FqagoHBwf88MMPcn131GebEEI6FUYIIYSQl1JVVcWEQiG7desWmzVrFouMjOT2HT16lPH5fHbv3j25YxITE5mWlhZ7/PgxY4yxwMBApqOjw4qLi5X2IZVKm+0/MTGR6evry22LjY1lAFhFRQW3bcKECWzZsmXNnqeoqIipq6uz4OBghX2y8128eJExxphIJGIAuPib6tevH4uJieF+BsAOHz7cbL/Tpk1j8+bNa3Z/Uy31+6J+mjv26dOnzMrKitnb2zd7bGxsLNPT02PV1dVy28PDw5mxsTGTSCSMMcZ8fX3ZtGnT5Np4eHiwoUOHym2TSqXM3NycnTp1ioWGhjJ/f3+l72fdunVMT0+PPX36lNvu6urKwsLCGAAmEomajVlZLM97/nfVnv3V1dXMyMiIvf/++0rbysb97t27DADLyspS+rMysmvc39+fjRw5Uu6cTcfh/v37TENDgy1fvrzFGM6ePcvU1dW569nX15eNGDGCNTQ0KD0uKyuLAWCFhYXNxtjavpOTkxkAdvToUYU2Hh4ezNDQkD158kTufTf1Mp9tQgjpbGgGBSGEEPKSUlJSYG1tDSsrK/j4+CAhIQGMMQDA5MmT0bNnT4VHJBITE+Hh4QEDAwNIpVIcOHAAPj4+MDY2VtoHj8drdTxlZWU4fPgwBAIBBAJBq487ePAgGhoalM6UCAwMhFAoVPj2vSP06tULFy9exL179zr83K2hra2NoKAg/PTTTygrK1Pa5sMPP0RdXR0OHjzIbWOMYffu3Zg3b16z43zjxg1cuHABGhoacttFIhGePn0KFxcX+Pj4IDk5GdXV1QrHDxs2DGZmZtzMkaKiIpw/fx5z5sx52bf7ypw+fRqPHj3CqlWrlO43MDBodx8bNmzA9evX5X4PTaWmpqK+vv6FMTg6OmLhwoXw9fVFamoqUlJSsGfPHqipqSk9rkePHuDz+Th48CAaGxvb1ff+/fsxYMAAuLu7K7RZsWIF/vzzT5w5c0bpOV72s00IIZ0NJSgIIYSQlxQfHw8fHx8Az6bUV1RU4Ny5cwAAgUAAX19fJCUlcUmL/Px8/Oc//8FHH30EAHj48CHKy8thZWUld95hw4ZBKBRCKBTC29u7xRgqKiogFAqho6ODnj17QiQSYdGiRdDR0ZFr99VXX3HnlL327dsHAMjLy4O+vj569+6tcH4NDQ2Ym5tzdQTaytvbW6Ff2XP04eHhMDAwgJmZGaysrDBv3jykpKRAKpV2aD8tsba2BvDskQ1l3njjDUyfPl3uMQ+RSITCwkLMnz9fru3x48chFAqhpaUFOzs7lJWVISQkRK5NfHw8vLy8IBAIYGtrC3Nzc6Smpirt+6OPPuL6TUpKwuTJk9GjR48XvqemsTR9bd68Wa5NaGio3P7Y2Ng27Ze5ffs2gL/Hsq3GjBmjEOvzjI2NsWzZMnzyySeQSCRKY9DT01N6DT9PVuPEy8sLmzdvbjHuPn36IDY2FuvXr0f37t3h5OSETz/9FAUFBW3uOy8vDwMHDlS6T7a96eesIz7bhBDS2ShPFxNCCCGkRbm5ubh8+TIOHz4M4Nlz8rNmzUJ8fDwcHBwAPLvB/Ne//gWRSAQnJyckJibCzMwMTk5OLZ778OHDqK+vR2hoKGpqalpsq6uri2vXrqGhoQEnT57Evn37EBkZqdDuww8/xCeffCK3rWfPnq1+v8/PBGitmJgYuLi4yG2TzRbp3bs3MjMzcePGDZw/fx4XLlyAr68vvv32W5w6dQp8fuu/R2mpn5bIkkctzVT56KOP4Obmhvz8fFhYWCAhIQETJkzAm2++KdfO0dERX3/9NaqrqxETEwM1NTXMmDGD219eXo5Dhw7hxx9/5Lb5+PggPj6eK/jZlI+PD1avXo2CggIkJSU1myBQRhZLU2+88YbczyEhIXL9GhkZtWm/jGwMX9aBAweavXFvKjQ0FDt37kRCQgJmzpypEENrZxtpa2tj5cqV+Oc//4lly5a9sP2iRYswd+5ciMViXLx4Eampqdi8eTOOHj0KV1fXNvXdlrF6XZ9tQgj5b0IJCkIIIeQlxMfHQyKRyN0EM8agqamJL7/8Evr6+rC0tMS4ceOQmJgIBwcH7NmzB/7+/tzNTI8ePWBgYIDc3Fy5c/ft2xfAsxsUZatlNMXn87kb5YEDByI/Px8LFizAd999J9dOX19f4YZaxtLSEhUVFSgpKVG4qa+vr0d+fj7c3NwAPCvcBzz7dvf5qfvl5eXQ19eX29arV69m+5WxtbWFra0tFi5ciKCgIIwbNw7nzp2Do6Nji8e1tR9lbt68CeDZqhTNcXZ2Rt++fZGUlISQkBAcOnQIO3fuVGino6PDxZCQkIAhQ4YgPj6eK6S5f/9+1NbWYtSoUdwxjDFIpVLk5eVhwIABcuczNDTE1KlT4efnh9raWkyaNAlVVVWtel9NY2mOkZFRi21etF9GFvetW7fwzjvvtCq+pkxNTVvVj4GBAda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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_pis_avg_req_vram_eff_score = analyzer.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=ResourceHoardingDataFrameNameEnum.PI_GROUPS,\n", + " sorting_key=\"avg_requested_vram_efficiency_score\",\n", + " ascending=True, # more negative first\n", + " filter_criteria={\n", + " \"avg_requested_vram_efficiency_score\": {\"max\": -10, \"inclusive\": True},\n", + " \"job_count\": {\"min\": 5, \"inclusive\": True}, # Minimum number of jobs to consider a PI account\n", + " },\n", + ")\n", + "pis_with_metrics_visualizer = PIGroupsWithMetricsVisualizer(inefficient_pis_avg_req_vram_eff_score.head(10))\n", + "pis_with_metrics_visualizer.visualize(\n", + " output_dir_path=PI_GROUPS_VISUALIZATION_DATA_DIR,\n", + " column=\"avg_requested_vram_efficiency_score\",\n", + " bar_label_columns=[\"pi_acc_job_hours\", \"pi_acc_vram_hours\"],\n", + " figsize=(10, 6),\n", + " anonymize=True,\n", + ")" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/module_demos/Attribute Visualization.ipynb b/notebooks/module_demos/Attribute Visualization.ipynb new file mode 100644 index 0000000..a50e9b0 --- /dev/null +++ b/notebooks/module_demos/Attribute Visualization.ipynb @@ -0,0 +1,824 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# [Attribute Visualization](#toc0_)\n", + "This notebook demonstrates the use of `ColumnVisualizer` class in `src/visualization/columns.py` for visualizing the attributes present in raw data." + ] + }, + { + "cell_type": "markdown", + "id": "1", + "metadata": {}, + "source": [ + "**Table of contents** \n", + "- [Attribute Visualization](#toc1_) \n", + " - [Setup](#toc1_1_) \n", + " - [Data Digestion and Preprocessing](#toc1_2_) \n", + " - [Visualization](#toc1_3_) \n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "## [Setup](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "from pathlib import Path" + ] + }, + { + "cell_type": "markdown", + "id": "4", + "metadata": {}, + "source": [ + "Jupyter server should be run at the notebook directory, so the output of the following cell would be the project root:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Project root: ds4cg-job-analytics\n" + ] + } + ], + "source": [ + "project_root = Path.cwd().resolve().parent.parent\n", + "print(f\"Project root: {project_root.name}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6", + "metadata": {}, + "outputs": [], + "source": [ + "if str(project_root) not in sys.path:\n", + " sys.path.insert(0, str(project_root))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "# Reload all modules imported with %aimport every time before executing the Python code typed.\n", + "%autoreload 1\n", + "%aimport src.visualization.columns, src.database.database_connection, \\\n", + " src.visualization.models, src.preprocess.preprocess" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8", + "metadata": {}, + "outputs": [], + "source": [ + "from src.visualization import ColumnVisualizer\n", + "from src.preprocess import Preprocess\n", + "from src.database import DatabaseConnection" + ] + }, + { + "cell_type": "markdown", + "id": "9", + "metadata": {}, + "source": [ + "## [Data Digestion and Preprocessing](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "10", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connected to slurm_data.db\n" + ] + } + ], + "source": [ + "db_path = Path(project_root) / \"data/slurm_data.db\"\n", + "db_connection = DatabaseConnection(str(db_path.resolve()), anonymize=True)\n", + "\n", + "jobs_df = db_connection.fetch_all_jobs()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "11", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[Preprocessing] Running with new database format: GPU types as dictionary.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "UserWarning: 6545 duplicate JobIDs detected. Keeping only the latest entry for each JobID.\n", + " clean_jobs_df = Preprocess().preprocess_data(jobs_df, min_elapsed_seconds=600, anonymize=True)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 42 records with errors. Reporting them to a summary file preprocessing_errors.log.\n", + "Processing error log file already exists. Overwriting preprocessing_errors.log\n" + ] + }, + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOS...GPUTypeGPUMemUsageGPUComputeUsageCPUMemUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vram
1172624641012953<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.000000e+000.01.766359e+0899.9500120 days 00:35:4711<NA>1111
1172624541012951<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.000000e+000.01.723802e+0899.9647670 days 00:36:0211<NA>1111
1172624441012949<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.000000e+000.01.716470e+0899.9705050 days 00:37:2011<NA>1111
1172624141012881<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.000000e+000.01.711022e+0899.9456180 days 00:36:5611<NA>1111
1172624041012877<NA>-1job.shFalsenon-interactiveaccount_98user_732['2080ti']normal...{'2080_ti': 1}0.000000e+000.01.712169e+0899.9637300 days 00:36:4811<NA>1111
..................................................................
1081945823946071<NA>-1sbatchFalsenon-interactiveaccount_21user_901['vram40']normal...{'rtx_8000': 1}1.913022e+1082.01.739481e+1049.9815640 days 00:02:1040<NA>4048
1084121523946070<NA>-1sbatchFalsenon-interactiveaccount_21user_901['vram40']normal...{'rtx_8000': 1}1.913022e+1082.01.402193e+1049.9770930 days 00:00:0740<NA>4048
1084121423946069<NA>-1sbatchFalsenon-interactiveaccount_21user_901['vram40']normal...{'rtx_8000': 1}1.915119e+1081.01.742611e+1049.9615250 days 00:00:1040<NA>4048
1089118923890375<NA>-1sys/dashboard/sys/bc_vscodeFalsebc_vscodeaccount_56user_989['x86_64']normal...{'a100': 1}0.000000e+000.05.203149e+070.00006211 days 07:06:20<NA><NA><NA>80
1089118723864844<NA>-1bashFalseshellaccount_13user_43[]normal...{'a40': 1}4.071621e+10100.01.122027e+101.3173820 days 00:00:00<NA>484848
\n", + "

660508 rows × 31 columns

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" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName IsArray \\\n", + "11726246 41012953 -1 job.sh False \n", + "11726245 41012951 -1 job.sh False \n", + "11726244 41012949 -1 job.sh False \n", + "11726241 41012881 -1 job.sh False \n", + "11726240 41012877 -1 job.sh False \n", + "... ... ... ... ... ... \n", + "10819458 23946071 -1 sbatch False \n", + "10841215 23946070 -1 sbatch False \n", + "10841214 23946069 -1 sbatch False \n", + "10891189 23890375 -1 sys/dashboard/sys/bc_vscode False \n", + "10891187 23864844 -1 bash False \n", + "\n", + " Interactive Account User Constraints QOS ... \\\n", + "11726246 non-interactive account_98 user_732 ['2080ti'] normal ... \n", + "11726245 non-interactive account_98 user_732 ['2080ti'] normal ... \n", + "11726244 non-interactive account_98 user_732 ['2080ti'] normal ... \n", + "11726241 non-interactive account_98 user_732 ['2080ti'] normal ... \n", + "11726240 non-interactive account_98 user_732 ['2080ti'] normal ... \n", + "... ... ... ... ... ... ... \n", + "10819458 non-interactive account_21 user_901 ['vram40'] normal ... \n", + "10841215 non-interactive account_21 user_901 ['vram40'] normal ... \n", + "10841214 non-interactive account_21 user_901 ['vram40'] normal ... \n", + "10891189 bc_vscode account_56 user_989 ['x86_64'] normal ... \n", + "10891187 shell account_13 user_43 [] normal ... \n", + "\n", + " GPUType GPUMemUsage GPUComputeUsage CPUMemUsage \\\n", + "11726246 {'2080_ti': 1} 0.000000e+00 0.0 1.766359e+08 \n", + "11726245 {'2080_ti': 1} 0.000000e+00 0.0 1.723802e+08 \n", + "11726244 {'2080_ti': 1} 0.000000e+00 0.0 1.716470e+08 \n", + "11726241 {'2080_ti': 1} 0.000000e+00 0.0 1.711022e+08 \n", + "11726240 {'2080_ti': 1} 0.000000e+00 0.0 1.712169e+08 \n", + "... ... ... ... ... \n", + "10819458 {'rtx_8000': 1} 1.913022e+10 82.0 1.739481e+10 \n", + "10841215 {'rtx_8000': 1} 1.913022e+10 82.0 1.402193e+10 \n", + "10841214 {'rtx_8000': 1} 1.915119e+10 81.0 1.742611e+10 \n", + "10891189 {'a100': 1} 0.000000e+00 0.0 5.203149e+07 \n", + "10891187 {'a40': 1} 4.071621e+10 100.0 1.122027e+10 \n", + "\n", + " CPUComputeUsage Queued vram_constraint \\\n", + "11726246 99.950012 0 days 00:35:47 11 \n", + "11726245 99.964767 0 days 00:36:02 11 \n", + "11726244 99.970505 0 days 00:37:20 11 \n", + "11726241 99.945618 0 days 00:36:56 11 \n", + "11726240 99.963730 0 days 00:36:48 11 \n", + "... ... ... ... \n", + "10819458 49.981564 0 days 00:02:10 40 \n", + "10841215 49.977093 0 days 00:00:07 40 \n", + "10841214 49.961525 0 days 00:00:10 40 \n", + "10891189 0.000062 11 days 07:06:20 \n", + "10891187 1.317382 0 days 00:00:00 \n", + "\n", + " partition_constraint requested_vram allocated_vram \n", + "11726246 11 11 \n", + "11726245 11 11 \n", + "11726244 11 11 \n", + "11726241 11 11 \n", + "11726240 11 11 \n", + "... ... ... ... \n", + "10819458 40 48 \n", + "10841215 40 48 \n", + "10841214 40 48 \n", + "10891189 80 \n", + "10891187 48 48 48 \n", + "\n", + "[660508 rows x 31 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(660508, 31)\n" + ] + } + ], + "source": [ + "clean_jobs_df = Preprocess().preprocess_data(jobs_df, min_elapsed_seconds=600, anonymize=True)\n", + "display(clean_jobs_df)\n", + "print(clean_jobs_df.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "12", + "metadata": {}, + "source": [ + "## [Visualization](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "13", + "metadata": {}, + "outputs": [], + "source": [ + "visualizer = ColumnVisualizer(clean_jobs_df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "14", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Summary file already exists. Overwriting columns_stats_summary.txt\n", + "Skipping visualization for column type 'ArrayJobID' in DataFrame.\n", + "Skipping visualization for column type 'JobName' in DataFrame.\n" + ] + }, + { + "data": { + "image/png": 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szL4jFy9ezDKvfv36WaZlnu+xsbF52ndUVBTkcjlsbGzyVtgC3v+ZM2egVquRlpaW7bl6+/ZtAMCNGzfQpUsXnXk5/e6FEFi7di3WrVuHq1evIi4uTqed+/Hjx9p/nz17FkIItGnTRu8mzJwMHDgQJ06cwObNmzF27FgAGcd1+vRpdO3aVad3/MmTJ2FlZYU1a9Zkuy2FQoEbN268cp92dnbo1q0btm3bhkuXLqF27doAgO3btyMtLU3nuufn54datWph8+bNePjwIXr06IHWrVujTp06kMny133NwcEBU6ZMwZQpU/DNN9/kOMQ787z29/fP0jwqk8nQqlUr3LhxAxcvXoSnp6fO/Fedf/k5p19n+3nB87tgzm9HR0cAGU0nr0vvMAEArq6u2c7P7E2fudyLclrH1dUVoaGhSEhIgJOTkz7FAwB06NABFSpUwPr16zFnzhyYmJhg9erVkCRJ22b+OmUDMjpRARltdACwadOmXMuQlJSU3+JnkXkCOzs757rc999/jwoVKmDt2rWYM2cO5syZAwsLC/Tp0weLFi167WFHOb0n+Vnn5fexqMTHx0Mmk2X73rm6ukKSpGzPVVtb2yzTMkNoXsdkKxQKqNVqKJXK177YFMT+M8/Vf/75J9eO0dmdqzn9Hj/++GMsW7YMnp6e6NatG9zd3WFubg4go0Pvix2fM3/XhTlUt2/fvhg3bhx++eUX7cV248aNAJDly0x0dDRUKhVmzZqV4/by+nc7cOBAbNu2Db/88os2TGzcuBFyuVynfdvExASHDx/GzJkzsXPnTnzyyScAMv6Wx4wZg2nTpkEul+f9gJ/L/D0sWrQIH374YbbL6HOtLojzLzc8v/OmKM7vlJQUABkjSl6XXqM5Mk+CnEY5RERE6Cz3opzWefLkCSRJ0jvtZpIkCe+99x4iIiKwd+9ePHjwAAcPHkS7du1y7BiZW9kAaIdCZh7X3r17ITKajLL98ff3L5BjuXv3Lh48eABnZ+cs99l4mYmJCSZOnIhr167h0aNH+PXXX9GyZUts2LAhX8N+8jP0LK/vIwDtNzOVSpVl+YIKHba2ttBoNHj69GmWeZGRkRBCZHuuFoTMAJN50Stqmcf1ySef5HquzpgxI8u62f3uIyMj8cMPP6BWrVq4ceMG1q1bh3nz5mHmzJkYNWpUluUzO/Q+evSoYA/sBY6OjujUqRPOnj2LmzdvAgB++eUX2NnZoWvXrjrL2trawsnJKdf34t69e3nab0BAAJydnbF582ZoNBqEhobi+PHjaN++Pdzc3HSWdXJywtKlS/Ho0SNcv34dy5Ytg6OjI2bMmIEFCxbk67gVCgVmzZqFxMTEHD889LlWlwQ8vwvm/M68Pr3qy2p29A4TFStWxJ07d7J9EzOHIGbXS/XYsWNZpoWFheHBgweoXr16gTRxZBo6dChMTU2xevVqrFmzBhqNJtdeyNmVLTExERcvXtQeMwA0btwYAHDixIkCK2tuvvzySwAZCfV1PtzLli2Lfv364cCBA/D19cVff/2lTaCZ34QK4hvGy+7fv5/tcLfM97du3braaZkjZF4+jzQaDS5dupRlG/kpd+b+sruVe27nakGoWbMmAGgvAoUht/ekYcOGkCSpwM7Vu3fvQgiB9u3bZ/kWk93fT4MGDSCTyXDkyBEolcpXbl8mk+XrnMz8hvbLL7/gn3/+wb1799C7d+8sI24aN26MqKgobfW3PkxMTPDOO+/g0aNHOHLkCDZt2gQhBN59990c15EkCX5+fhg9ejQOHToEIKP5Nb8GDx6M6tWrY9WqVdkO68s8r//++28IIXTmCSHw999/6yxXHPH8LvzzO/P6lHm9eh1632di8ODBUCqVmDp1qs5JevnyZaxbtw52dnbZDsfZsGEDLl++rH0thMBnn30GtVpd4DedcnV1RY8ePXDgwAH8+OOPKFOmTK7DEv/66y/8+eefOtO++uorxMbGYtCgQdpv0d27d0f58uWxePFi7R/ji5RKZbbjm19XYmIiPvnkE6xbtw7u7u747LPPcl0+LS0t22c/JCUlITExEaamptpjyGwje/Dggd7lfJlarcZnn32W5bzYuHEjnJ2d0alTJ+30hg0bAkCW+z0sXrw42wSdn3IPHjwYQEYV5YvVuXFxcdpvdJnLFLTM2qlTp04VyvaB3N8TNzc39OnTB//++y8WLlyY5QMls2x5vZNqZl+Yf//9V6cd+eHDh5g6dWqW5V1dXfHWW28hJCQk22/PkZGROrVSjo6O2vu/vI7OnTvDwcEBmzZtwoYNGwBkrQIGMqqwAWDYsGGIiorKMj8iIgLBwcF53m/mPjZu3IiNGzfCysoKPXv21FkmNDQ023uTZNYW5GWIcU7kcjnmzp2rvSfEy8qXL482bdrg2rVrWdrRf/rpJwQHB6Nt27ZZ+ksUJzy/C//8zrw+5ac2Xe/7THz66afYt28fNm7ciODgYLRr1w6RkZHYunUrVCoVVq1alW2TRceOHdG0aVO88847cHZ2RmBgIM6ePYsmTZrgo48+0rdYWYwaNQrbt2/HkydP8Mknn+Ra89GlSxd07doVvXv3hre3N06ePIkjR47Ax8cHs2fP1i5nbm6OHTt24M0334S/vz/atm2LmjVrQpIkhIWF4dixY3BycspTR65Mq1evxoEDByCEQEJCAm7fvo2goCAkJCSgevXq2LJlyyvv7JiSkoLmzZujcuXKqF+/PsqXL4/ExET88ccfiIiIwMSJE7Vtf1WrVkXZsmWxZcsWmJubo1y5cpAkCR999JHed7asVasWjh8/joYNG6J9+/ba+0yoVCr89NNPOp1Bhw4digULFmDmzJm4ePEifHx8cPbsWVy9ehX+/v4ICgrS2XZmZ9LvvvsOMTEx2mq5zz//PMfytGrVCh999BGWLl2KGjVq4K233oIQAjt37sTDhw/x8ccfo1WrVnodc07atWsHGxsbHDp0CJMmTSqUfbzqPVm+fDlu3ryJTz/9FBs3bkTTpk1hb2+PBw8e4OzZs7h9+zbCw8Pz1F7q7u6Ot956Czt37kSDBg3Qrl07PHnyBH/88QfatWuHkJCQLOssX74cV69exVdffYX9+/ejbdu2EELg1q1bOHjwIJ48eaKtLm7bti22bduGHj16oG7dupDL5ejWrVuWW8m/zNzcHH369MHKlSuxdu1a7b0gXhYQEIDp06fjyy+/hK+vLwICAuDl5YWoqCjcuXMHx44dw5w5c+Dn5/fK9wLICMNVqlTBr7/+CqVSiYEDB8LKykpnmYsXL6JXr15o1KgRqlWrBjc3Nzx69Ai7d++GTCbD+PHj87SvnHTr1g0tWrTI8QvMjz/+iBYtWmDkyJHYu3cvqlWrhmvXrmHPnj1wdnbGjz/+qNf+CxvP78I/vw8dOgQHB4f8XQdfZ+iHSqUSALIMg0pMTBTTp08XlStX1t5b4s033xTHjh3Lso3MIZxHjhwRq1atEtWrVxfm5ubC3d1djB07Nk9DjbKT09DQTBqNRpQvX14AEMHBwdku8+LQo927d4uGDRsKhUIhnJycxJAhQ0R4eHi26z18+FCMHTtWVKpUSZibmwtbW1vh5+cnRowYIQIDA/NU/syhUJk/crlc2Nvbi2rVqokBAwaI7du35zjk6OVhlenp6eLrr78WHTp0EOXKlRNmZmbC1dVVtGrVSvz6669ZhoadPHlS+Pv7CxsbG+3+M4dUZjfEMqf37EV4PvTpwYMHom/fvsLR0VFYWFiIpk2bioMHD2a7rYsXL4p27doJS0tLYWtrK7p37y5u376dYxn27dun/R1llvvl9zO7cq9Zs0Y0bNhQWFpaCktLS9GwYcNsh6flNmw2c7jby2P5c/PBBx8IuVyuM6b+xW3lNHQuu2N48e/oRbm9J0IIkZycLBYsWCDq168vrKyshEKhEBUqVBA9evQQGzZs0BkqndtwXSEyhkt/8sknwtvbW5ibm4tKlSqJL7/8UqSnp+c49C0uLk5Mnz5dVK1aVZibmws7OztRp04d8cUXX+ic3+Hh4aJPnz6iTJkyQiaT6ZxjrxrOfPz4ce2xT506NcfyCyHEoUOHRNeuXYWzs7MwNTUVbm5uomnTpuLLL7/UGSaZF3PmzNHu988//8wy/8GDB2LKlCmiSZMmwsXFRZiZmYny5cuLXr16vXJIeKaczpVM//zzj7YM2Z2boaGhYujQocLd3V2YmJgId3d3MXTo0GyHcL/ucO3XLTPP7+J1ft+7d09IkiTGjRuX6zZzIgmRTX1QDiIiIuDu7o42bdrg8OHDrxFZDC88PBzly5dH06ZNs22SADKq2IcOHYq1a9eW6Od7UPF08+ZN1KhRAzNnzsS0adMMXRwiIq3PP/8cCxYsQHBwMHx8fF57/dfqM/H7778D+K/jYUny3XffQaVS4YMPPjB0UchIValSBSNGjMC3335bYM+gISLSV0xMDJYuXYoPPvggX0ECyGOfiblz5+Lq1avYtm0brKys8P777+drZ0UtLi4OP/74I8LCwrB69WpUq1YNffr0MXSxyIjNmjVLey+V/PSYJiIqaPfu3cP48eP16q+YpzCxcOFCqNVqtGvXDnPmzHnlPQ6Ki5iYGEydOhUWFhZo0aIFVqxYka+bwhAVFBcXlxzvUkhEZAj16tVDvXr19NrGa/WZICIiInqZ3veZICIiIuPGMEFERER6YZggIiIivTBMEBERkV4YJoiIiEgvDBNERESkF4YJIiIi0gvDBBEREemFYYKIiIj0wjBBREREemGYICIiIr0wTBAREZFeGCaIiIhILwwTREREpBeGCSIiItILwwQRERHphWGCiIiI9MIwQURERHphmCAiIiK9MEwQERGRXhgmiIiISC8ME0RERKQXhgkiIiLSC8MEERER6YVhgoiIiPTCMEFERER6YZggIiIivTBMEBERkV4YJoiIiEgvDBNERESkF4YJIiIi0gvDBBEREemFYYKIiIj0wjBBREREemGYICIiIr0wTBAREZFeGCaIiIhILwwTREREpBeGCSIiItILwwQRERHphWGCiIiI9MIwQURERHphmCAiIiK9MEwQERGRXhgmiIiISC8ME0RERKQXhgkiIiLSC8MEERER6YVhgoiIiPTCMEFERER6YZggIiIivTBMEBERkV4YJoiIiEgvDBNERESkF4YJIiIi0gvDBBEREemFYYKIiIj0wjBBREREemGYICIiIr0wTBAREZFeGCaIiIhILwwTREREpBeGCSIiItILwwQRERHphWGCiIiI9MIwQURERHphmCAiIiK9MEwQERGRXhgmiIiISC8ME0RERKQXhgkiIiLSC8MEERER6YVhgoiIiPTCMEFERER6YZggIiIivTBMEBERkV4YJoiIiEgvDBNERESkF4YJIiIi0gvDBBEREemFYYKIiIj0wjBBREREemGYICIiIr0wTBAREZFeGCaIiIhILwwTREREpBeGCSIiItILwwQRERHphWGCiIiI9MIwQURERHphmCAiIiK9MEwQERGRXhgmiIiISC8ME0RERKQXhgkiIiLSC8MEERER6YVhgoiIiPTCMEFERER6YZggIiIivZgYugBEVDSEEFBrALUA1Jr//q0RAiYyCaZyCWZyQC6TDF1UIiphGCaISqh0tUBSmkBSmgaJ6Rn/TkzXIClNIE0lMoKCTmjI23ZlEmAmB0zl/wUM7b9NAHMTCdbmEqzNZbAxl6AwlSBJDCBExkwSQuTxEkNERS1VKRCdrEZsckZQSEwTSErPCBDpakOXLoNcBlibSbC1kMFOIYOdQoK9QgZbCxlM5QwZRMaAYYKomEhXCTxNVCMqSYPoZA2ikjRISi/Zf57WZhKcrGVwtZHDxUYGB4WMtRhEpRDDBJGBxKdq8DRBjchEDZ4mqhGbUvr/FM3kgLO1HK42GQHDyUoGGftoEJV4DBNERUStEYiIV+NBrBoPY9VILuG1DgVBLgPKWGXWXMjhYi2DCZtGiEochgmiQpSuEngYq8aDWBUex6qh1Bi6RMWbiQzwsJPDy8kE5ezkDBZEJQTDBFEBS0zT4EFMRoB4kqAB/8Lyx0QGeNjL4e1oAg97OUzYHEJUbDFMEBWApHQN7jxV4X60GjEprH4oaCYyoJy9HN5OJvCwk/NeGETFDMMEUT4JIfA4To1bkSo8jFWDf0hFw1SeESwqOpmgrJ2co0OIigGGCaLXlKoUuPNMiduRKiSk8c/HkGwtJPi5msKnjAn7VxAZEMMEUR49SVDjVqQSYdHqPN9NkoqGmRyo5GKKqq4msDLjI4eIihrDBFEulGqBkGcq3IpUGsV9IEo6SQK8HOTwczOFs7Xc0MUhMhoME0TZUKkFgp8ocS1cWWxuW02vp4yVDH5upvBylEPGfhVEhYphgugFao3ArUgVroQrkarkn0ZpYGkmoYa7KSo5m3AUCFEhYZggQsbTNe88U+HyYyXvTFlKWZtLqO1hiopOJhwBQlTAGCbIqAkhcDdKhUuPlEjkyAyjYK+QULecGTwdTAxdFKJSg2GCjJIQAmHRalx6lI64VP4JGCMXGxkaljeDkxU7ahLpi2GCjE5kghqnw9IRncw7VRLgU8YEdcuZwpJDSonyjWGCjEaaSuDcg3TceaoydFGomDGRATXcTVHN3ZTPACHKB4YJKvWEyLhXxLkH6UhjjqBc2JhLaFbRHK42bPogeh0ME1SqxadocCI0DU8S2KRBeSMBqOpqgrqeZqylIMojhgkqlTRC4HqEEpceKqHmGU75YGshoVkFc7iwloLolRgmqNSJSdbg33tpiEpibQTpRwLg52aCuuXMeMMrolwwTFCpIYTAlcdKXH6s5IO4qEDZWUhoXtEcZfi8D6JsMUxQqZCqFDgWkobweD5IgwqHBKCauynqeJiyloLoJQwTVOI9TVQj6E4ab4NNRcJeIaGljwUcLHlfCqJMDBNUogVHKHHuQTqbNahImciA5hXN4eXIW3ITAQwTVEIp1QL/3ktDWDSbNchwapU1RW0PUz44jIwewwSVOLHJGhy9k4p4PlODigFPezla+JjDVM5AQcaLYYJKlLvPVDgZmgYVR31SMWKnkNCmkgVsLdiPgowTwwSVCBohcDosHbcieT9sKp7M5EBLH3N42LMfBRkfhgkq9lQagaDbaXgUx/4RVLxJAOp6mqKGu5mhi0JUpBgmqFhLUwkcvpWKp4ls16CSo4KTHE0rmPPZHmQ0GCao2EpO1+Cvm6mITeEpSiWPq40MbStbsGMmGQWGCSqWElI1OHQzFYlpPD2p5HK2lqFdZQuYmTBQUOnGMEHFTnSSGn/dSkOqkqcmlXxOVjK0r2IBcwYKKsUYJqhYeZKgxuFbqVCyryWVIg6WMrxRxQIWpgwUVDoxTFCx8SBGhb9D0qBmX0sqhewUEjpUsYDCjPeioNKHYYKKhbvPVPjnXhp4NlJpZmMuoYOfBawYKKiU4RlNBvcgRoV/7jJIUOmXkCbwZ3AqEtNY/UalC8MEGVRkghp/h6SBOYKMRWKawIHgVMSnMlBQ6cEwQQYTk6zB4Vup7CNBRic5XeDgjVQkpfPkp9KBYYIMIjFNg8CbqUjnqA0yUsnpIuNvQMV6OSr5GCaoyKUqBf66mYpk3keCjFxsisCR26lQa/i3QCUbwwQVKaU641kb8am8eBIBwJMEzfMOyPyboJKLYYKKjEYjEHQnDc+S2E5M9KLQaDXOPVAauhhE+cYwQUVCCIF/7qXhMR8jTpSt6xFK3H7KQEElE8MEFYkLD5W4F8UgQZSbU6HpiIjn3wmVPAwTVOjColW4Gs5vXESvohFA0J1UJPAeFFTCMExQoYpL0eDfu2mGLgZRiZGmAg7f4pBRKlkYJqjQKNUCR++kQskvWUSvJS5V4N97DOFUcjBMUKH5914a4lL47YooP+7HqHE7ks2DVDIwTFChuPFEibBodiQj0seZ++mIS2HVHhV/DBNU4KKT1Th7P93QxSAq8VQa4FhIGu+QScUewwQVKKVa4O87aeC1j6hgRCdrcOEhwzkVbwwTVKBOh6XzVtlEBex6hIo3fKNijWGCCszdZyqEPFMZuhhEpdI/d9OQyofjUTHFMEEFIlUpcOY+h7IRFZYUJYeLUvHFMEEF4uz9dKSxUoKoUD2MVePGEw4XpeKHYYL0Fh6vxt0oJgmionCOw0WpGGKYIL2oNQInWfVKVGTUAjgdxr85Kl4YJkgvVx4rkZDGTmFERSk8XoP70awNpOKDYYLyLTZFw6eBEhnI2fvpUPGGLlRMMExQvgghcDKUN6ciMpTEdIGrjxnmqXhgmKB8ufNMhcgEdgIjMqRr4UokpvHvkAyPYYJeW4pS4ByfvUFkcGqR8TAwIkNjmKDXdu5+OtJ5Z1+iYuFBjBqP49gZkwyLYYJeS2yyBvd4TwmiYuV0WDo07MBEBsQwQa/l0qN08JJFVLzEpwpc550xyYAYJijPYpI1CIth+wZRcXTlkRIpfBAYGQjDBOXZxUfs6EVUXCk1QHAEayfIMBgmKE+iktR4wFoJomLtZqQS6SrWTlDRY5igPLn4kN94iIo7pRp8qigZBMMEvdLTRDUexbFWgqgkCH6ihErN2gkqWgwT9EqslSAqOdJUwK2nHL5NRYthgnIVmaBGeDxrJYhKkuvhSqh53wkqQgwTlCuO4CAqeZKVAiHPWDtBRYdhgnIUlaRGRDwfIkRUEl0LV0IjWDtBRYNhgnJ0O5LfbIhKqoQ0gbBoNlFS0WCYoGwp1YLP4CAq4a48Todg7QQVAYYJyta9KBWUbOEgKtFiUwTC2VRJRYBhgrJ1i00cRKXCnacc2k2Fj2GCsniWqEZ0Mr/NEJUG92PUSOUDwKiQlagw4e3tje+++87QxShwrVu3xrhx4wxdDC3e8Iao9NAIsP8TFTpJlKDeOU+fPoWVlRUsLS3ztPzRo0fRpk0bxMTEwN7evnALp0d5oqOjYWpqChsbG8MV7jmlWmD7hWSoWDFBVGrYKyR0q5m36yZRfpgYugCvw9nZ2SD7FUJArVbDxKRw3i5HR8dC2W5+3I1SMUgQlTKxKQLPEtUoYy03dFGolMpXM0fr1q3x8ccf49NPP4WjoyPc3Nwwc+ZM7fz79++je/fusLa2hq2tLfr06YMnT55o58+cORN16tTBxo0b4e3tDTs7O7zzzjtISEjIdb8vN3NIkoTVq1ejZ8+esLS0RKVKlbBnzx4AQGhoKNq0aQMAcHBwgCRJGDJkCABAo9Fg3rx5qFChAhQKBWrXro0dO3Zot3v06FFIkoT//e9/qF+/PszNzXH8+HGEhISge/fucHV1hbW1NRo2bIi//vpLp4xpaWmYPHkyPD09YW5uDl9fX/z888+5lufFZo7PPvsMjRs3znLstWvXxuzZs7WvV69eDT8/P1hYWKBq1apYvnx5ru9dXrHjJVHpdJdNHVSI8t1nYv369bCyssKpU6ewYMECzJ49G4cOHYJGo0H37t0RHR2NoKAgHDp0CHfv3kXfvn111g8JCcHu3bvxxx9/4I8//kBQUBDmz5//2uWYNWsW+vTpg8uXL6NTp04YMGAAoqOj4enpiZ07dwIAbt68ifDwcHz//fcAgHnz5mHDhg1YsWIFrl27hvHjx+Pdd99FUFCQzranTJmC+fPnIzg4GLVq1UJiYiI6deqEwMBAXLhwAQEBAejatSvu37+vXWfQoEHYvHkzlixZguDgYKxcuRLW1ta5ludFAwYMwOnTpxESEqKddu3aNVy+fBn9+/cHAGzatAlffPEFvvrqKwQHB2Pu3LmYPn061q9f/9rv34ueJaoRw46XRKVSaJSKd8SkQpPvevtatWphxowZAIBKlSph2bJlCAwMBABcuXIF9+7dg6enJwBgw4YNqF69Os6cOYOGDRsCyKgdWLdunbafwMCBAxEYGIivvvrqtcoxZMgQ9OvXDwAwd+5cLFmyBKdPn0ZAQIC2+cDFxUXbRyEtLQ1z587FX3/9haZNmwIAKlasiOPHj2PlypXw9/fXbnv27Nl44403tK8dHR1Ru3Zt7esvv/wSv/32G/bs2YMxY8bg1q1b2LZtGw4dOoT27dtrt/3i+i+X52XVq1dH7dq18euvv2L69OkAMsJD48aN4evrCwCYMWMGFi1ahF69egEAKlSogOvXr2PlypUYPHjwa71/L2InLaLSK1UFhMep4WFfolq3qYTId81ErVq1dF67u7sjMjISwcHB8PT01AYJAKhWrRrs7e0RHBysnebt7a3T4TBzfSDjw9Pa2lr7c+zYsTyVw8rKCra2ttrtZOfOnTtITk7GG2+8obOPDRs26NQGAECDBg10XicmJmLixInw8/ODvb09rK2tERwcrK2ZuHjxIuRyuU4gyY8BAwbg119/BZDRX2Pz5s0YMGAAACApKQkhISEYPny4TvnnzJmTpfyv634Mb71LVJrdi+LfOBWOfEdUU1NTndeSJEGjyXsVeW7rd+vWTaffgIeHR4GVIzExEQCwb9++LNs1NzfXeW1lZaXzeuLEiTh06BC++eYb+Pr6QqFQoHfv3khPz3iypkKhyHG/r6Nfv36YPHkyzp8/j5SUFDx48EDbTJRZ/lWrVmXpWyGX579zVVSSGknprAIlKs3ux6igUpvBRC4ZuihUyhR4fZefnx8ePHiABw8eaGsnrl+/jtjYWFSrVi1P27CxsSmQYZJmZmYAALX6vzRerVo1mJub4/79+69dg/DPP/9gyJAh6NmzJ4CMD/bQ0FDt/Jo1a0Kj0SAoKEjbzPGq8mSnXLly8Pf3x6ZNm5CSkoI33ngDLi4uAABXV1eULVsWd+/e1dZWFATWShCVfioN8DhejfIObOqgglXgZ1T79u1Rs2ZNDBgwAN999x1UKhU+/PBD+Pv7Z2k2KGxeXl6QJAl//PEHOnXqBIVCARsbG0ycOBHjx4+HRqNBixYtEBcXh3/++Qe2tra59jmoVKkSdu3aha5du0KSJEyfPl2nFsTb2xuDBw/GsGHDsGTJEtSuXRthYWGIjIxEnz59si2PtbV1tvsaMGAAZsyYgfT0dHz77bc682bNmoWPP/4YdnZ2CAgIQFpaGs6ePYuYmBhMmDAhX+/V/Rj2lyAyBo/jGCao4BX4HTAlScLvv/8OBwcHtGrVCu3bt0fFihWxdevWgt7VK3l4eGDWrFmYMmUKXF1dMWbMGAAZHSenT5+OefPmwc/PDwEBAdi3bx8qVKiQ6/YWL14MBwcHNGvWDF27dkXHjh1Rr149nWV+/PFH9O7dGx9++CGqVq2KkSNHIikpKdfyZKd3796IiopCcnIyevTooTNvxIgRWL16NdauXYuaNWvC398f69ate2X5cxKfqkFcCps4iIxBeBxrIanglag7YFLhCI5Q4sz9dEMXg4iKSM9aCthYlKinKVAxx7OJ8IjfVIiMyuN4/s1TwWKYMHIqjcATXliIjAqbOqigMUwYuYh4NdRs6CIyKuHxat4NkwoUw4SRexTLbyhExkapBp4l8tb5VHAYJozckwSGCSJj9JhNHVSAGCaMmFItOCSUyEgxTFBBYpgwYtFJGjBKEBmnqCQN0lW8AlDBYJgwYlFJbDMlMlYCbOakgsN7qhqxZ0mGv5CkJCVg18ovcS5oL+JjnsKrcm0MmLAAFavVB5Dx1NTffpqDo7+vQ3JiHCrVaoLBn34Ht/K+OW7zkx7V8Cz8fpbp7d4aiUGfZtya/NfvpuD4vk0wt7DE26Nno1lAX+1ypwN34Z/9mzF+0fYCPlqi4iU6WQNPB0OXgkoDhgkjVhxqJtbMHY2HIdfx3sxVcCjjjn8PbMGCMV0xd8tZOLqUxf6N3+LQthUY+cVKlCnrjV0rv8Q3Y3tg7pazMDO3yHabM9YG6Twz5VHIdSz4qCsatst4QNuFY/tx8s9tmLTkd0Tcv4Ofv/oQNZu0g419GSQnxmHHj7MxedneIjl+IkOKSTb8NYBKBzZzGKk0lUBCmmHbS9NTU3D2yO/oO2YOqtZtAVdPH/QcOQ0u5Sri8K5VEELgzy0/oOvQT1HPvwvKV6qB92b+hNhn4TgflPOHva2DM+ydXLU/F4//Dy7lKqJqvZYAgMehN1G1XktU8KuHph37QGFpg6ePwwAAW5d+jrZvjYCTm2eRvAdEhsQwQQWFYcJIRRWDJg61WgWNWg1Tc3Od6WbmCty+dAJPH4ciLuoJqjdqo51naW2HitUb4M6V03nah0qZjn8PbEGrrgMhSRIAoHylmrh34wKS4mNwL/gC0tNS4VquIm5d/BdhNy+hQ58PCu4giYqxxDQBFe9aRwWAzRxG6lkxaOJQWNnAt2Zj7FnzNcp6V4WdowtOHNyOO1dPwbWcD+KingAA7BxddNazdXRBXPSTPO3jXNBeJCfGoUXnd7XTajZpj2YBfTFzqD/MzC0wcsZKmCussH7BOIyYvhKBu1bhr20rYW3vhKFTl6BcxWoFd9BExYgAEJuiQRlruaGLQiUcw4SRiiomd797b+Yq/DznA4zrUgkyuRxeVeqgSYe3EXrjQoFs/+89G1CraQc4OLvrTO85chp6jpymff3b6rmo1rAN5Cam2LtmAeb8egoXjx/ATzPfw+wNxwukLETFUUwywwTpj80cRqo41EwAgGu5ivhsxZ/46egTfLvnJmauDYJapYRL2Qqwc3IFAMRFR+qsEx8dCTtH11du+1n4fVw7cwT+3Qbnutzj0Js48b+teOv96bhx/m9Urtsctg7OaNy+F8JuXkRKUkL+D5ComItJKR7XAirZGCaMUIpSIEVZvNpJzRVWsC/jhqT4GFw9GYi6rTrDuaw37Jxccf3MUe1yKYnxuHvtLHxrNnrlNo/9sRG2Ds6o3Twgx2WEEFg3/2P0GzcPFpbW0Gg0UKuUAADV8/9rNIbvX0JUWNgJkwoCmzmMUGJq8bl4XDn5F4QQcPeqhCcP7mLr0mlw96qMls87THZ8ZzT2rF0AV08fOJf1wq6Vc2Bfxh31/Ltqt/H16M6o17or3nh7lHaaRqPBsT9+QYvOAyA3yfk0D/p9HWzsy6Buy04AgEq1mmD3qrm4c+U0Lp84iLIVqsLKxr7Qjp/I0BgmqCAwTBihxPTiUyuRnBiH7ctnIibyEaxsHdCgTXf0/mAGTExMAQCdBo5HWkoS1s37KOOmVbWbYuL3v+ncYyLy0T0kxkbpbPfa6SOIiniAVl0H5rjvuKgn2LtuIT5fFaid5lO9AQL6f4TFE3rD1rEMRn7xUwEfMVHxkq4GktI1sDJjRTXlnyQEH2pvbK6FK3HuQbqhi0FExUTbyuYoZ8/vlpR/jKJGKCmd1ZpE9J9EA9/Ajko+hgkjlFSMmjmIyPBSi1mHbCp5GCaMUBK/hRDRCxgmSF8ME0Yomc0cRPSCFBXDBOmHYcLIqDUCqSpDl4KIihPWTJC+GCaMDPtLENHLittN7KjkYZgwMuwvQUQvY80E6YthwshwWCgRvUylAZR8FDnpgWHCyKSyoxURZYO1E6QPhgkjo2bFBBFlg180SB8ME0ZGw+sFEWWDnTBJHwwTRoY1E0SUHTZzkD4YJoyMhs91I6JssNaS9MEwYWQ0rJkgomwwTJA+GCaMDEd/EVF2WGlJ+mCYMDJs5iCi7AheG0gPDBNGhh0wiSg7vDSQPkwMXQAqWmwXpRfVVTyGpaUCqQpnQMr/dwuhASCe/2jEf/8WAhDSf6/x4gmYw8konn+sSS8uJ15Y5YX1pJy2kTFd0tnGS//OnJTtNnIrZ27L5/QHJv47nNfeZk6EdhEpyzGIHFbPppzP/2mvlJAcKct2HiBeeutfen909pWxrKWrN2Qyfl81FpJg3ZZROXQjFeHxakMXg4oJE6jQXnYazlEXINm6AQ7lAAcPwL4cYG6V84pqNZCWBqSnA+lpuv9WqwGZDJDLAZk84/9yOYRMDo0kh5DkEDKT//4NOTSSDAJyCMiggQxCSBCajA7D4vmP9t8C0Kif55Sclsnt3y9kk1JNyvafL714/vKlaS/OfOW6L02v0hQwMc1zKamUYM2EkWGfCXqRCiY4oGmGis6+aBr/J+Qh//w309IBsPd4HjDKATaugEyGFHUq4tSJUMpVsLSygJWtAyxkZi9sVAWkpDz/SX7+kwIpJQXy5//OnJbj8KJswgjk2UyTvTD9xXkmma+zmZcZbGQmEJDlL9gIQDwPNK8dZp4HIqEu5GCTXQVDlhcFv/uccgmVbqyZMDKHbqQgPJ6to5SVCdRoJzsNl8hTkEQ254jcFLBz1waMFDtnhEspeJz+FE+V0YhXJ8FUMoGVXAErmULn/5YyBaxkFrCSKyCX5P9tMy0VSH4hXGT5//N/p6UV3RvxstcONiYZ/9dZPudwU9qCTY3WGW8BGReGCSNz5HYqHsSwmYNy5i1/imYJf8IkKfLVCyvstc0iGnsPRFmaI1wVjcfpTxGufIoYVXyWVSwks/8CxsuBQ24BK5klrOQWUMgs/ltJrQZSn4eL5JyCx/P/q0vx+Z1DTUuW8JLbvPwEG0meEWYgh3gecDTZhRMBuHi92FeFjAXDhJE5HpKKu1Gl+GJLBUIONdrJzsA18mT2tRQ5kZm8VHvhgghZaka4SH+KCOUzpAtlHssgg+J5bcaLgcM6myBiolPbkZZ7LUfm69TU13xXSEdmGPGpBDRpZujSkIExTBiZk6FpuBWpMnQxqITwMnmG5vEH8lZLkRML24w+F/YeEPYeiLKyzKi9UGYEjGhVnN7lNJdMYflS80rW4JFR2yFlfm3WaDJqO3JtZnn+fxX/ZnJUpSrQtIWhS0EGxjBhZM7dT8e1iLx9MyQCMmop2srOwi3yxOvVUuREJgcyR47YeyDVzhUR8jSEK5/hcfpTRKQ/Q5pI138/2e0aUpbaDiuZ4r8g8sI0U9kLDf/K9ByaWF4KHqmpxncryeo1gIZNDF0KMjCGCSNz+VE6Lj5imKDXV14ehRaJB2CS+KTgN25ho20aEXYeiLa2Qrj6ed+L9GeIVsVl3umgyJhKJlkCh/WLweN5/w7LLLUdqbnXcmT+X1lK/g7r1Mv4IaPGMGFkbjxR4nRY4Xzro9JPBg3ays/B/cm/kEQh9r2RyQFb14z7XTh4IM3OFREmSoSnZ9ZePEVqIdVevC4JEhQy8+xrOnT6e1jA/OUhtMnJOffpeDF4FOfLdMMmGbUTZNQYJozMvSgVjoUYcJgdlQqe8ii0TPwTJokRRbdTc+v/ai/sPRBjbY1wdSzC05/icfpTRKlii7z24nWZSiawlFnkGDj+m24BWeYdSYXIGEKbl5Es6QYIWC1aAb6Vi36/VKwwTBiZx3Fq/HWTvdhJfzJo0EZ+HmUj/4GkMcAIIUmmU3uRbu+GCBMVwtOfIfz50NQUTckNzgqZhfbeHDqjV15qcsnLDcOyDR453TDsdbV7A/D0KphtUYnFMGFkopPV+OMqwwQVnHIm0WiZeBCmCY8NXZSMW4DbP78duEM5xFjbIFwdkxEwlE/xTBkDTTGvvXhdcsif99/IqXmlkG8Y1rkb4OxSuAdJxR7DhJFJTtdgx8UUQxeDShmZ0KC1yQV4RB43TC1FTiQZYOOibR5R2rshwlTzvOYiowYjWWM84Tq3G4b9N4z2NW8Y1qQZYJnLc1zIKDBMGBm1RmDT2WRDF4NKKQ95NFolHYJpwiNDFyVnZpbPay8yAkacjR0eq2MRrswYOfJUGQONkT+QWw4ZLOUWz2s1srtTaUYzi62JtaGLSsUEw4QR2nExGcnp/LVT4ZCEQGuTCygXeRySpgTc7EmSAGvn5/e9yKi9iDTD85tqZdReJGlYm/cyB7kthrr2MHQxqJhgmDBCfNgXFYWy8hi0Sj4Es/iHhi7K6zNVPK+5yOh/EW9jj8ciThsuniqjoTby2gtPMze8XaaDoYtBxQTDhBE6FZqGm7ylNhUBSQj4m1yEZ+SxklFLkSMJsCmj7dipsnNDpLmEx8pn2oCRqDGu5kM/RUW86cDbaFMGhgkjxBtXUVFzk8WidcrBkllLkRMTi+c1Fxl9LxJsHBAu4rV37YxURpXq2ouG1tXR0ra+oYtBxQTDhBHivSbIECQh0MrkEso/PQZJXUpuJf0y6zLa+16o7csi0lymfeZIuPIZEtRJhi5hgWlv1wS1rHizKsrAMGGEEtM02HWJHcrIMNzkcWidfBBm8Q8MXZTCZ2IO2JfVBoxEGyeEI+F5uHiKJ+nRUKMYDaV9Db2d3kB5c3dDF4OKCYYJIySEwOZzyVCV3hpYKu6EQCuTK/B6GlR6aylyYuWk7diptnfHUwsThCujtKNH4tWJhi5hnox0fQs2ct5fgjIwTBipvVdTEJPMNEGG5SKPR5uUQzCPCzN0UQxHbva89iKj70WSXRmEi0SEK5/icfozPFFGQSWKV+dVE0mOj9z6//e0VDJ6DBNG6u87qQiNLpnVq1TKCIGWplfhHRkESc2OwQAAS0dt7YXG3h1PLc0QrozSPjU1Tp1g0OK5mDriXecuBi0DFS8ME0bq4sN0XH5sZNXLVKy5yOLRJvUvmMeFGrooxY/cFLArqw0YyXbOCJeSMm4Lnv4MEcpnUBZh7QWHhdLLGCaMFB9FTsVVc5OrqBh5lLUUr2LpoG0a0diVxTNLc4SrorQBI0YdX2i7bmFTF41sahba9qnkYZgwUrEpGuy5whEdVDyVkSWgbdpfsIi9p9d2Zm46jFmbj+pMq1KuDG6s+Djb5ZUqNeZt/xvrAy/iUVQCqng44euhHRBQv5J2mU1HLmHK+kNITEnH0PZ1sXjkm9p5oU9i0GH6Bpz97n3YWlpkt4vCIzPR6XuRYuuMcFnK83DxFBHKKKSLgqmN7O7YBj4WngWyLSodTAxdADIMOwsJ5iZAWvHq10UEAHimscE2055o5n4NPk+PQlLlvxatenkX/PXVYO1rE5ksx2U/3xiIX45cwqqPuqOqZxn8ef4Oen61Gf8uHIm6Pu54FpeEEUt/x7pxPVHRzRGdZ/2CtrUrokujKgCAD5f/gflD3ij6IAEAGhUQfT/jB4ACQEWFHSo6lAPsPSDsq+GZpQXCVdHap6ZGq+LytSsXU8cCLDiVBgwTRkqSJLjayHE/hp0wqfj6V1UdN53Ko11aICxi7+ZrGyZyGdwcbPK07MYjlzCtTyt0aphxM6YPOjXCXxfvYtFv/+CXib1xNyIGdpYW6Nsqo4q/Ta0KCH7wFF0aVcHmoMswNZGjV7Nq+SpnoUiJy/h5fA0SAGeZCZzt3FDLvhzgUAmpTh4ZI0ee3/ciIv0Z0l5Re2ElU3BIKGXBMGHEGCaoJIjS2GCbaQ80db8O36dHXruW4vbjKJQdtBAWpiZoWtUT8wa3R3kX+2yXTVOqYGGme1lUmJng+PWMb/uVPJyQnKbEhZBweLnY4cytRxjWvi5iElMw/ZfDODJ3aL6OschoVEDMw4yfe4BFk0Go4OSFChYeADLuQROlitOGi/D0Z4hSxepsws3MyQAFp+KOfSaMWHSyGn9c5W21qeRwlCWiXXogFDEheVr+f2dvITE1HVU8yiA8OgGzNh/Fo6h4XP1hDGwszbMs33/hdly6F4Hd0/rDx90BgZfuovuczVCrNUjbPQMA8Nu/1/HFpsNISVfh3da1MHNAWwz/fjdqerugnk9ZjP1pP5QqDWb2b4PeLaoX6PEXKJkc6PApIM/9O2WaJh0R6c+e31TrKbzNPVDP2q+ICkklBcOEERNCYOv5ZKSzcoJKmCYmN1Dp6WFIqtcLw7GJKfAathiLRwRgeIesD6l6GpeEkUt/x97TNyFBgo+7A9rX8cGaQ+eRsuuLbLcZdOUeJq75E0HzhsH3ve+xeVJvuDnYoNGElbj901i42Fvn6xgLnYMn0GyIoUtBpQSbOYyYJElwsZHjYSzTBJUsJ1VVcdPJE+3TA6GIuZPn9eytFajs4YQ7j6Ozne9sZ4Xdn/dHaroSUfEpKOtkgynrDqGim0O2y6cpVfjwxz+wccJbuBMeDZVaA/+aFQAAlT2ccOrmQ3RtXPX1D7AoOHI0BhWcnLs1k1Fws5EbughE+RKjscJ2k2644d4JwlSRp3USU9IQEh4Dd8fcO2RamJnCo4wtVGoNdv57Hd1zCARztgQhoF4l1PMtC7VGQKX+7xb1SpUGak0xrvh1KG/oElApwpoJI+dqyzxJJdtpVVXcciyP9spAWEbf1pk38ecD6NqoCrxc7PE4OgEzNh2GXCahn3/GaIxBi3bCw8kW84a8AQA4dfMBHkUloE5FNzx6Fo+Zvx6BRiPw6VtZ7/Z4/X4kth67igtLPgAAVC1XBjKZhJ8PnoObgzVuPHyGhpU8Cvno80tizQQVKIYJI+dgKYOpHFCypYNKsFiNJXbIu6Kh+01UfXYYkjLjhmwPn8Wj38IdiIpPhrOdFVpUK4+Ti96Ds13G0Mb7T+Mgk/33sKrUdBU+3xiIuxExsFaYoVP9Stj4yVuwt9at+RBC4L1le7B4RACsLMwAAApzU6wb1xOjf/wDaUo1lo3qDI8ytkX0DrwmR0/A1AD3wqBSix0wCYE3U/EojmmCSgc7WTLaK4/AKvqmoYtSfFXrAFRobOhSUCnCOm6Cmy37TVDpEaexxE55Z1x37wphamno4hRPbsW0UyiVWAwTBC9Hhgkqfc6qKmGPwyAkOfKDU4edO6CwM3QpqJRhmCBYm8tQxoqnApU+ccISO+WdcM29G4QZbwENAHCtYugSUCnETxACAHg7sS8ulV7nVL7Y7TAIiU68cyObOKgwMEwQAMDbUQ7p1YsRlVgJGgV2yd7EVffuxltLYeUE2DgbuhRUCjFMEADA0kwGFxueDlT6nVf5YLfDICQ4FaOnexYV1kpQIeGnB2l5O7Kpg4xDgkaB32QBuOLew7hqKdzZzEOFg2GCtLwcTSCxrYOMyAVVReyyH4wEp2L8dM+CorDLGMlBVAgYJkjLwlTiszrI6CQJC/wm64hL7r2gMS+mT/gsCGzioELEMEE6KjgxTJBxuqTyxm92gxBfpoahi1I43I2wjwgVGYYJ0lHewQQyNnWQkUoSFtgtdcBF97egMc/9yaIliq0r4FDO0KWgUoxhgnSYmUjwsGPtBBm3yyov7LIbhLgytQxdlIJRvp6hS0ClHMMEZVHZhaM6iJKFOX6X2uO8e29ozIvp0z/zQm4GeNQ0dCmolGOYoCzK2slha8G2DiIAuKoqj512AxFXprahi5I/HjUAE/MC29yQIUPQo0cPvbaxbt062Nvba1/PnDkTderU0WubZFgME5SFJEmo6mpq6GIQFRspwhy/S+1wzr03NBYlrJaifH1Dl4CMAMMEZcunjAlMeXYQ6bimKo+dNoMQ61wHwtCFyQvH8oCdm6FLQUaAHxeULVO5BB9n9p0gelkKzLAHbXHO/W1oLIr5o7wrNM73qjt27EDNmjWhUCjg5OSE9u3bIykpSTv/m2++gbu7O5ycnDB69GgolUrtvLS0NEycOBEeHh6wsrJC48aNcfToUX2OhIo5hgnKkZ+rKR/+RZSD6ypP7LAZiBjnesWzlsLSId+PGw8PD0e/fv0wbNgwBAcH4+jRo+jVqxeEyDjSI0eOICQkBEeOHMH69euxbt06rFu3Trv+mDFjcOLECWzZsgWXL1/G22+/jYCAANy+fbsgjoyKIX71pBzZWMhQ3lGOsGi1oYtCVCylwgx70RpV3X3RIPYgZCmxhi7Sf7wbIb/3xw8PD4dKpUKvXr3g5eUFAKhZ878RIQ4ODli2bBnkcjmqVq2Kzp07IzAwECNHjsT9+/exdu1a3L9/H2XLlgUATJw4EQcOHMDatWsxd+5c/Y+Nih3WTFCuarizIybRq9xQlcN2m4GILi61FCbmgGedfK9eu3ZttGvXDjVr1sTbb7+NVatWISYmRju/evXqkMv/ux+Nu7s7IiMjAQBXrlyBWq1G5cqVYW1trf0JCgpCSEhIvstExRtrJihXTlZyuNvKEB6vMXRRiIq1NGGKP9AaVd0rPa+liHn1SoXFqz5gYpbv1eVyOQ4dOoR///0XBw8exNKlSzFt2jScOnUKAGBqqvslQ5IkaDQZ14jExETI5XKcO3dOJ3AAgLV1KX72iZFjmKBXqu5uhvD4VEMXg6hEuKHywD2bd9He5gQcI89BKuq6ChMLwKeZ3puRJAnNmzdH8+bN8cUXX8DLywu//fbbK9erW7cu1Go1IiMj0bJlS73LQSUDmznolcrayVHGiqcKUV6lCVPsE61wyr0v1ArHot25bzPAVKHXJk6dOoW5c+fi7NmzuH//Pnbt2oWnT5/Cz8/vletWrlwZAwYMwKBBg7Br1y7cu3cPp0+fxrx587Bv3z69ykXFFz8hKE/ql89/lSmRsbqlKovtNgMQ5dIQoijGRlnYAt75Hw6aydbWFn///Tc6deqEypUr4/PPP8eiRYvw5ptv5mn9tWvXYtCgQfjkk09QpUoV9OjRA2fOnEH58uX1LhsVT5LIHOtD9ApHb6fifgxHdhDlRyWTCDSK+xPy5KjC20nNLkD5uoW3faIcsGaC8qyepxkfT06UT7dVbthmNQBPXRoVTi2FdRnAs4Q+P4RKPIYJyjNbCxmq8ImiRPmmhAn+J1rgX/f+UFuWKdiNV2kDSLykk2HwzKPXUsvDDGbyVy9HRDkLUbliq1V/RLo0hsjnjaV0OJQD3Krqvx2ifGKYoNdibiKhVll2xiTSlwomOCCa4x+3/lBbOeu3sartCqZQRPnEMEGvrYqrCazN2XmCqCDcVbliq2V/PHFtCpGfZgqXShlPByUyIIYJem1ymYR6nqydICooKsjxp6YpjrkOgMrK5TXWlICqbQutXER5xTBB+eLtaAJna54+RAUpVO2MbZb9EOHaLG+1FF71AZvXCR9EhYOfBpRvDcqb8RHlRAVMBTkOaprgmNsAqKxzCQoWtqyVoGKDYYLyzdlaDj83DhUlKgyhKmdsVfRDuGvz7GspanTKeDooUTHAMEF6qVvODHYWrJ8gKgxqyHFI0xh/u70LlbXrfzPcqwGulQxXMKKX8HbapLdniWr8LzgVPJOICo8MGrSVn4V7zEVILd8DzK0MXSQiLYYJKhAXHqbjymOloYtBVOq1qSCDp7N+TwUlKmhs5qACUbusKRwteToRFabyDnIGCSqWePWnAiGTSWhe0ZwPAiMqJBamEpp4s8MlFU8ME1RgHCxlqO1hauhiEJVKTb3NYGHKtE7FE8MEFajq7qa8mRVRAfMpYwJPBw7DpuKLV30qUDIpo7nDhGcWUYGwV0ho5MXb11Pxxks+FThbCxka8uJHpDczOdC6kgVM5WzeoOKNYYIKRSVnU1RxYbUsUX5JAFr4mMPWgpdpKv54llKhaehlBjdbnmJE+VG7nCnK2TOQU8nAKz0VGpkkwd/XAtbmrKIleh3lHeSo6c6RUVRyMExQoTI3kdC2kgVMeaYR5Ym9IqMTsyQxhFPJwUs8FTp7Sxla+PBmO0Svwg6XVFIxTFCR8HQwQR3e0IooR+xwSSUZz1oqMrU8zODlKDd0MYiKJXa4pJKMYYKKVPMK5nwgGNFLfMqYsMMllWi8qlORMpFLaFPJHJZmbBMmAgAvRzmaVjBjh0sq0RgmqMhZmcvQoaoFFHxoERm5cvZytKxoDhmDBJVwDBNkELYWMrSvYgEzdqEgI+VuK4O/rzlkMgYJKvkYJshgHCwzAoUpAwUZGRcbGdpUsoCcQYJKCYYJMqgy1nK0rWzBp4yS0XCykqFdZQuY8F4SVIrwEk4G52ojR7sqDBRU+jkoMmvjGCSodOHlm4qFzEDB225TaWVnIaF9VQuYmzBIUOnDSzcVG9pAwT4UVMrYmEt4gyOYqBSThBDC0IUgetHTRDUCb6YiXW3okhDpz9k6o7OlBYMElWIME1QsxaVoEHgrFYlpPD2p5CrvIEdLH3OO2qBSj2GCiq1UpcCR26l4mqgxdFGIXpufqwkalOedLck4MExQsabWCPxzNw2h0WzzoJJBAtCgvBn83PisDTIeDBNU7AkhcOmREpcfKw1dFKJcyWVASx9zlHfg0z/JuDBMUIkR8kyJE/fSoeEZS8WQhQnQprIFnK05HImMD8MElShPEtQ4ejsVaSpDl4ToP7YWEtpVtoCNBUfbk3FimKASJz5Vg8O3UhGfylOXDM/dVoaWPhz6ScaNYYJKpDRVRsfMh7HsmEmGIQGo7WGKmmVNOWKDjB7DBJVoNyOVOHc/HSqOHqUipDCV0NLHHG627B9BBDBMUCkQl6LBsZA0RCczUVDhc7eVoYUPb41N9CKGCSoVNBqBC4+UuB6uBE9oKgwyCahbzgzV3EzYrEH0EoYJKlUi4tU4fjcNyek8rang2CsktPAxh6MlmzWIssMwQaVOmkrgZGgawnjXTCoAVV1NUN/TjM/XIMoFwwSVWneeKnEmLB1KdqWgfLC1kNDYyxzudqyNIHoVhgkq1RLTNDh3Px1hMayloLwxkQE1y5qimpspayOI8ohhgoxCRLwap8PSEJvC051y5uUgR4PyZrAy550siV4HwwQZDY0QuBWpwsWH6UhnRQW9wNZCQiMvc5RlkwZRvjBMkNFJVQpcfJSO25EqDiM1cmzSICoYDBNktKKT1TgTlo4nCeyhaYzYpEFUcBgmyOiFRqlw7kE6knhvCqPgaiNDLQ8zuPNW2EQFhmGCCIBaI3D7qQpXw5W84VUp5W4rRy0PU7jaMEQQFTSGCaIXqDUCIc9UuPpYiUSGilKhnL0ctcqaoow1QwRRYWGYIMqGRgjcfabCtXAl4lL5J1LSSAC8HOWoWdYMDpbsE0FU2BgmiHIhhMCjWDWuRSjZUbMEkCSgopMJaribwk7BEEFUVBgmiPIoKkmNa+FKhMWowb+a4sXCVEJFJzmquprCmqMziIocwwTRa0pJ1+BelBohUSrEJLO2wlBkEuBhL4dvGRN42Msh42PBiQyGYYJIDzHJGtx9psLdKBVSlPxTKgr2Cgm+zqao6GQCC1MGCKLigGGCqAAIIRAer8HdZ0rcj1FDxQqLAmUmByo4mcDX2QROVhyVQVTcMEwQFTClWuB+jAp3n6kQEa/hLbvzyVQGuNvJ4e1oAk8HOW93TVSMMUwQFaJUpUB4vDrjJ07Nu2y+go25hHL2cnjYm8DVRsYAQVRCMEwQFaH4VA3C4zLCRUS82uifXmoqB9xs5HC3k8PdVs7hnEQlFMMEkYFohEB0kgaPn9daPE3UQFPK/xotTAAHSzlcbWVwt5XDyUrGURhEpQDDBFExodYIxKZoEJuiQUzy838na5BcAkeJSABsLCQ4WsrgYCnT/t/SjDUPRKURwwRRMZem+i9YxDwPG7HJmmLRRCIh44ZR1uaSTmhwUMhgImeNA5GxYJggKqFSlQIpSoEUpQYp6QLJz1+nKgXS1RkhJF0lkKYSUKqRZVSJ9Pw/mR/50gv/lkmAuYkESzMJFqYSLE0z/q/I/DGToDCVwcIEkNhMQWT0GCaIjIAQAgIZYYEf/kRU0BgmiIiISC/sDUVERER6YZggIiIivTBMEBERkV4YJoiIiEgvDBNERESkF4YJIiIi0gvDBBEREemFYYKIiIj0wjBBREREemGYICIiIr0wTBAREZFeGCaIiIhILwwTREREpBeGCSIiItILwwQRERHphWGCiIiI9MIwQURERHphmCAiIiK9MEwQERGRXhgmiIiISC8ME0RERKQXhgkiIiLSC8MEERER6YVhgoiIiPTCMEFERER6YZggIiIivTBMEBERkV4YJoiIiEgvDBNERESkF4YJIiIi0gvDBBEREemFYYKIiIj0wjBBREREemGYICIiIr0wTBAREZFeGCaIiIhILwwTREREpBeGCSIiItILwwQRERHphWGCiIiI9MIwQURERHphmCAiIiK9MEwQERGRXhgmiIiISC8ME0RERKQXhgkiIiLSC8MEERER6YVhgoiIiPTCMEFERER6YZggIiIivTBMEBERkV4YJoiIiEgvDBNERESkF4YJIiIi0gvDBBEREemFYYKIiIj0wjBBREREemGYICIiIr0wTBAREZFeGCaIiIhILwwTREREpBeGCSIiItILwwQRERHphWGCiIiI9MIwQURERHphmCAiIiK9MEwQERGRXhgmiIiISC8ME0RERKQXhgkiIiLSC8MEERER6cXE0AUgw1Or1VAqlYYuBhGVUKamppDL5YYuBhkQw4QRE0IgIiICsbGxhi4KEZVw9vb2cHNzgyRJhi4KGQDDhBHLDBIuLi6wtLTkRYCIXpsQAsnJyYiMjAQAuLu7G7hEZAgME0ZKrVZrg4STk5Ohi0NEJZhCoQAAREZGwsXFhU0eRogdMI1UZh8JS0tLA5eEiEqDzGsJ+18ZJ4YJI8emDSIqCLyWGDeGCSIiItILwwRRCTFz5kxYW1u/1jqtW7dGly5dXns/kiTl+uPt7f1a2ySi0o0dMIlIx4gRIxAQEKB9vXr1avz66684fPiwdpq5ubkhikZExRTDBBHpKFeuHMqVK6d9feDAAchkMjRp0sSApSKi4ozNHEQlVHR0NIYNG4YyZcpAoVCgWbNm+Pvvv7NddsOGDfDx8YFCoUDr1q1x8+bNfO+3fv36GDBgQJbpkydPRtmyZaFWqxEaGgpJkrB+/XoMHz4cdnZ2cHR0xIQJE6BSqXTWe/jwId59913tcbRq1Qrnzp3Ld/mIqOgxTBCVQGq1Gm+++Sb27t2Lr7/+Gtu3b4e1tTXeeOONLB/E58+fx7x58zB//nxs2LAB4eHh6NixI9LS0vK175EjR+K3335DXFycTnk2btyIwYMH69xj4LPPPoNGo8G2bdswadIkLF26FJ9//rl2fkxMDFq0aIGLFy9i6dKl2LlzJ6ysrNC2bVvtTZCIqAQQZJRSUlLE9evXRUpKiqGLQnk0Y8YMYWVlJYQQ4vfffxcAxIEDB7Tz09PTRfny5UWvXr200/z9/YVMJhO3bt3STrt9+7aQyWRixYoVr71fIYSIi4sTlpaWYvny5dppe/bsEQC0+7l3754AIFq2bKmzrenTpwtLS0sRHR0thBDiiy++EHZ2duLJkyfaZVJTU0X58uXFpEmT8lQ+Kh54TTFurJkgKoGOHTsGW1tbdOzYUTvN1NQUvXr1wvHjx3WWrVGjBipVqqR97evri9q1a+PUqVP52retrS369u2LNWvWaKetXbsWLVu21NkPAPTs2VPnde/evZGcnIwrV64AAA4ePIg2bdrA0dERKpUKKpUKcrkc/v7+OHPmTL7KR0RFjx0wiUqgmJgYuLi4ZJnu6uqK6OhonWk5LRceHp7v/Y8cORLNmjXD5cuX4e7ujj/++AM//fRTluVe3rerqysAaPf97NkznDx5EqamplnW9fHxyXf5iKhoMUwQlUCOjo7Z9il48uQJHB0ddabltFydOnXyvf+mTZuievXqWLNmDcqXLw8LCwu8/fbbWZZ7ed9PnjwB8N/DoBwdHREQEIAvv/wyy7ocfkpUcrCZg6gEatGiBeLj43Hw4EHtNJVKhd9++w0tWrTQWfbq1au4c+eO9vWdO3dw6dIlNG7cWK8yjBw5Eps2bcLPP/+Mvn37wsrKKssyv/32m87rHTt2wNLSEjVr1gQAtG/fHtevX4efnx8aNGig85O5DBEVfwwTRCVI5vMPOnfujEaNGuHdd9/FmjVrsG/fPnTp0gXh4eH47LPPdNZxdXVF165dsX37dmzfvh1dunSBh4cHhgwZoldZBg4ciISEBFy/fh3Dhw/PdpmQkBAMHToUf/75J+bNm4d58+Zh9OjRcHBwAABMmDABkiTB398fGzduRFBQEHbs2IFJkybh22+/1at8RFR02MxBVEKkpKRoq/7lcjn279+PiRMnYtKkSUhKSkK9evVw8OBB1K9fX2e9evXq4a233sKnn36K8PBwNG7cGCtWrNC7GcHR0RH+/v54+PBhjje0+uqrr3D06FG8/fbbkMvlGD16NL766ivtfCcnJ5w8eRKff/45Jk+ejKioKLi4uKBJkyZZOm8SUfElCSGEoQtBRS81NRX37t1DhQoVYGFhYejiUB706tULYWFhxeaGTvHx8fDw8MDMmTPxySef6MwLDQ1FhQoVsH37dvTu3dtAJaSixGuKcWPNBFExd/HiRQQFBWHfvn2YOXOmoYujbdpYvnw5JEnC0KFDDV0kIjIwhgmiYm7YsGGIjo7GhAkTMGnSJEMXB+fOnUObNm3g6emJ9evXZxk9QkTGh2GCqJg7f/68oYugo3Xr1nhV66i3t/crlyGi0oOjOYiIiEgvDBNERESkF4YJIiIi0gvDBBEREemFYYKIiIj0wjBBREREemGYICIiIr3wPhOUxYbTSUW6v0GNsj5tsrjy9vbGuHHjMG7cOEMXpUC1bt0aderUwXfffWfoopRKUVFR8PPzw+nTp+Ht7W3o4ry2AwcOYMqUKTh//jxkMn4Hpax4VhC9hjNnzuC9997L8/JHjx6FJEmIjY0tvEK9hpzKs2vXLnz55ZdFXh5vb29IkqTzM3/+fJ1ltm3bhjp16sDS0hJeXl5YuHBhlu1s2rQJtWvXhqWlJdzd3TFs2DBERUVp5yuVSsyePRs+Pj6wsLBA7dq1ceDAgRzLNX/+fEiSlCU0hoSEoGfPnnB2doatrS369OmDJ0+evPI4v/rqK3Tv3l0nSAQGBqJZs2awsbGBm5sbJk+eDJVKpbPe5cuX0bJlS1hYWMDT0xMLFizIdT/r1q3L8n5m/kRGRgIALly4gLp168La2hpdu3ZFdHS0dn2VSoX69evj9OnTOtsNCAiAqakpNm3a9MpjJePEMEH0GpydnWFpaVnk+xVCZPmgKUiOjo6wsbEptO3nZvbs2QgPD9f+fPTRR9p5//vf/zBgwACMGjUKV69exfLly/Htt99i2bJl2mX++ecfDBo0CMOHD8e1a9ewfft2nD59GiNHjtQu8/nnn2PlypVYunQprl+/jlGjRqFnz564cOFClvKcOXMGK1euRK1atXSmJyUloUOHDpAkCYcPH8Y///yD9PR0dO3aFRqNJsfjS05Oxs8//6zzmPZLly6hU6dOCAgIwIULF7B161bs2bMHU6ZM0S4THx+PDh06wMvLC+fOncPChQsxc+ZM/PTTTznuq2/fvjrvZXh4ODp27Ah/f3+4uLgAAEaMGIG2bdvi/PnziIuLw9y5c7XrL1q0CM2bN0ejRo2ybHvIkCFYsmRJjvsmIyfIKKWkpIjr16+LlJSULPPWn0os0p/X5e/vLz766CMxadIk4eDgIFxdXcWMGTN0lgkLCxPdunUTVlZWwsbGRrz99tsiIiJCO3/GjBmidu3aYsOGDcLLy0vY2tqKvn37ivj4+Fz37eXlJb799lvtawBi1apVokePHkKhUAhfX1/x+++/CyGEuHfvngCg8zN48GAhhBBqtVrMnTtXeHt7CwsLC1GrVi2xfft27XaPHDkiAIj9+/eLevXqCVNTU3HkyBFx584d0a1bN+Hi4iKsrKxEgwYNxKFDh3TKmJqaKj799FNRrlw5YWZmJnx8fMTq1atzLY+/v78YO3asEEKIqVOnikaNGmU59lq1aolZs2ZpX69atUpUrVpVmJubiypVqogffvgh1/cuL+/ny/r16yd69+6tM23JkiWiXLlyQqPRCCGEWLhwoahYsWKWZTw8PLSv3d3dxbJly3SW6dWrlxgwYIDOtISEBFGpUiVx6NAhnfdECCH+/PNPIZPJRFxcnHZabGyskCQpy+/gRdu3bxfOzs4606ZOnSoaNGigM23Pnj3CwsJCew4uX75cODg4iLS0NO0ykydPFlWqVMlxXy+LjIwUpqamYsOGDdppCoVCBAcHa/fRqVMnIYQQISEholKlSjn+DYSFhQkA4s6dO9nOz+2aQqUfayaoRFq/fj2srKxw6tQpLFiwALNnz8ahQ4cAABqNBt27d0d0dDSCgoJw6NAh3L17F3379tXZRkhICHbv3o0//vgDf/zxB4KCgrJUsefFrFmz0KdPH1y+fBmdOnXCgAEDEB0dDU9PT+zcuRMAcPPmTYSHh+P7778HAMybNw8bNmzAihUrcO3aNYwfPx7vvvsugoKCdLY9ZcoUzJ8/H8HBwahVqxYSExPRqVMnBAYG4sKFCwgICEDXrl1x//597TqDBg3C5s2bsWTJEgQHB2PlypWwtrbOtTwvGjBgAE6fPo2QkBDttGvXruHy5cvo378/gIxmhS+++AJfffUVgoODMXfuXEyfPh3r16/XrtO6dWsMGTLkle/f/Pnz4eTkhLp162LhwoU6NTBpaWlZHmetUCjw8OFDhIWFAQCaNm2KBw8eYP/+/RBC4MmTJ9ixYwc6der0yu0cP35cZ9ro0aPRuXNntG/fPks509LSIEkSzM3NtdMsLCwgk8mybOdFx44dQ/369bNsK7vypKamah8xf+LECbRq1QpmZmbaZTp27IibN28iJiYmx/29aMOGDbC0tNR5DHzt2rVx6NAhqFQqBAYGamtgRo0ahQULFuRYQ1W+fHm4urri2LFjedo3GReGCSqRatWqhRkzZqBSpUoYNGgQGjRogMDAQAAZbdFXrlzBr7/+ivr166Nx48bYsGEDgoKCcObMGe02NBoN1q1bhxo1aqBly5YYOHCgdhuvY8iQIejXrx98fX0xd+5cJCYm4vTp05DL5donarq4uMDNzQ12dnZIS0vD3LlzsWbNGnTs2BEVK1bEkCFD8O6772LlypU62549ezbeeOMN+Pj4wNHREbVr18b777+PGjVqoFKlSvjyyy/h4+ODPXv2AABu3bqFbdu2Yc2aNejZsycqVqyIdu3aoW/fvjmW52XVq1dH7dq18euvv2qnbdq0CY0bN4avry8AYMaMGVi0aBF69eqFChUqoFevXhg/frxO+cuXLw93d/dc37uPP/4YW7ZswZEjR/D+++9j7ty5+PTTT7XzO3bsiF27diEwMBAajQa3bt3CokWLAADh4eEAgObNm2PTpk3o27cvzMzMtMf1ww8/6Gxn8eLFuH37NjQaDQ4dOoRdu3ZptwEAW7Zswfnz5zFv3rxsy9qkSRNYWVlh8uTJSE5ORlJSEiZOnAi1Wq2znZeFhYWhbNmyOtM6duyIf//9F5s3b4ZarcajR48we/ZsneOKiIiAq6urznqZryMiInJ9XzP9/PPP6N+/PxQKhXba6tWrsWPHDvj4+MDMzAxTp07Fxo0bYWlpiYYNG6Jjx47w9fXF559/nmV7ZcuW1YY4ohcxTFCJ9HJ7tru7u7aDWXBwMDw9PeHp6amdX61aNdjb2yM4OFg7zdvbW+db2Ivb2LRpE6ytrbU/uX0be7EsVlZWsLW11W4nO3fu3EFycjLeeOMNnX1s2LBBpzYAABo0aKDzOjExERMnToSfnx/s7e1hbW2N4OBgbc3ExYsXIZfL4e/vn+P+82LAgAHaMCGEwObNmzFgwAAAGX0HQkJCMHz4cJ3yz5kzR6f8GzZsyPGDOdOECRPQunVr1KpVC6NGjcKiRYuwdOlSpKWlAQBGjhyJMWPGoEuXLjAzM0OTJk3wzjvvAIB2VMH169cxduxYfPHFFzh37hwOHDiA0NBQjBo1Sruf77//HpUqVULVqlVhZmaGMWPGYOjQodptPHjwAGPHjsWmTZuy1BhkcnZ2xvbt27F3715YW1vDzs4OsbGxqFevXq4jHFJSUrJss0OHDli4cCFGjRoFc3NzVK5cWVuTUlCjJU6cOIHg4GCdvhpARlgMCgpCWFgYfv31VyiVSsyYMQPLli3DRx99hGbNmuHSpUvYtWsX9u7dq7OuQqFAcnJygZSPShcODaUSydTUVOe1JEm5doJ73W1069YNjRs31s7z8PAosLIkJiYCAPbt25dluy9WoQMZ4eRFEydOxKFDh/DNN9/A19cXCoUCvXv3Rnp6OgDofAPVR79+/TB58mScP38eKSkpePDggbaZKLP8q1at0nmPAEAul+u138aNG0OlUiE0NBRVqlSBJEn4+uuvMXfuXERERMDZ2Vlbe1SxYkUAGU1GzZs3x6RJkwBkhDsrKyu0bNkSc+bMgbu7O5ydnbF7926kpqYiKioKZcuWxZQpU7TbOHfuHCIjI1GvXj1tWdRqNf7++28sW7YMaWlpkMvl6NChA0JCQvDs2TOYmJjA3t4ebm5u2u1kp0yZMtk2S0yYMAHjx49HeHg4HBwcEBoaiqlTp2q35ebmlmWkSOZrNze3V76Xq1evRp06dbI0sWRXjnHjxqFcuXI4evQo5syZAysrK3Tu3BlHjx5F165dtctGR0fD2dn5lfsm48MwQaWOn58fHjx4gAcPHmhrJ65fv47Y2FhUq1YtT9uwsbEpkNENme3darVaO61atWowNzfH/fv3X7sG4Z9//sGQIUPQs2dPABkf7KGhodr5NWvWhEajQVBQULbt/tmVJzvlypWDv78/Nm3ahJSUFLzxxhva0QCurq4oW7Ys7t69q62tKCgXL16ETCbT7iuTXC7XBq/NmzejadOm2g+15ORkmJiYZFkeyKhVeZGFhQU8PDygVCqxc+dO9OnTBwDQrl07XLlyRWfZoUOHomrVqpg8eXKWkFSmTBkAwOHDhxEZGYlu3brleEx169bFL7/8ku08SZK0TSCbN2+Gp6enNtA0bdoU06ZNg1Kp1AbWQ4cOoUqVKnBwcMhxf0DGebFt27ZX1gwFBgYiODgYa9euBZBxXiiVSgDQ/j9TamoqQkJCULdu3Vy3ScaJYYJKnfbt26NmzZoYMGAAvvvuO6hUKnz44Yfw9/fP0mxQ2Ly8vCBJEv744w906tQJCoUCNjY2mDhxIsaPHw+NRoMWLVogLi4O//zzD2xtbTF48OAct1epUiXs2rULXbt2hSRJmD59uk4tiLe3NwYPHoxhw4ZhyZIlqF27NsLCwhAZGYk+ffpkWx5ra+ts9zVgwADMmDED6enp+Pbbb3XmzZo1Cx9//DHs7OwQEBCAtLQ0nD17FjExMZgwYQKAjI6gHh4eOX6gnThxAqdOnUKbNm1gY2ODEydOaDuiZn5YPnv2DDt27EDr1q2RmpqKtWvXYvv27TodVbt27YqRI0fixx9/RMeOHREeHo5x48ahUaNG2g/qU6dO4dGjR6hTpw4ePXqEmTNnQqPRaPtn2NjYoEaNGjrls7KygpOTk870tWvXws/PD87Ozjhx4gTGjh2L8ePHo0qVKjn+zjp27IipU6ciJiZGJwQsXLgQAQEBkMlk2LVrF+bPn49t27Zpg0v//v0xa9YsDB8+HJMnT8bVq1fx/fff6/wufvvtN0ydOhU3btzQ2efWrVuhUqnw7rvv5liu1NRUjBkzBps3b9Y2rTRv3hw//PADRo8ejZ07d2Lx4sXa5U+ePAlzc3M0bdo0x22SETPwaBIykJI8jOvlIXtCCNG9e3ftMEch8j409EXffvut8PLyynXf2Q0N/e2333SWsbOzE2vXrtW+nj17tnBzcxOSJGnLqNFoxHfffSeqVKkiTE1NhbOzs+jYsaMICgoSQvw3NDQmJkZn2/fu3RNt2rQRCoVCeHp6imXLlmV5P1JSUsT48eOFu7u7MDMzE76+vmLNmjW5lie79zQmJkaYm5sLS0tLkZCQkOW92LRpk6hTp44wMzMTDg4OolWrVmLXrl3a+f7+/jq/k5edO3dONG7cWNjZ2QkLCwvh5+cn5s6dK1JTU7XLPH36VDRp0kRYWVkJS0tL0a5dO3Hy5Mks21qyZImoVq2aUCgUwt3dXQwYMEA8fPhQO//o0aPCz89PmJubCycnJzFw4EDx6NGjHMuW03syefJk4erqKkxNTUWlSpXEokWLtENUc9OoUSOxYsUKnWlt2rTRHnvjxo3F/v37s6x36dIl0aJFC2Fubi48PDzE/PnzdeavXbtWZHcZb9q0qejfv3+uZZoyZYr45JNPdKbdvn1bNGzYUNja2ooPPvhAqNVq7bz33ntPvP/++zluryRfU0h/khAv1QOSUUhNTcW9e/dQoUKFHDucEVHB2LdvHyZNmoSrV6+WyNtRP3v2DFWqVMHZs2dRoUKFbJfhNcW4sZmDiKiQde7cGbdv38ajR490RhmVFKGhoVi+fHmOQYKINRNGit8iiKgg8Zpi3EpefRsREREVKwwTREREpBeGCSIiItILwwQRERHphWGCiIiI9MIwQURERHphmCAiIiK98KZVlNW+L4t2f52nF9imhgwZgtjYWOzevTvf21i3bh3GjRuH2NhYAMDMmTOxe/duXLx4sUDKWJL8/PPP2Lp1Kw4ePGjoomSxYsUK7Nu3L8tjsomo6LFmgqgQ7Nq1Cw0aNIC9vT2srKxQp04dbNy4UWeZxMREjBkzBuXKlYNCoUC1atWwYsWKLNs6ceIE2rZtCysrK9ja2qJVq1ZISUnRzr916xa6d++OMmXKwNbWFi1atMCRI0e086OiohAQEICyZcvC3Nwcnp6eGDNmDOLj43M9htTUVEyfPh0zZszQTlu3bh0kSdL5ycsNin744Qf4+flBoVCgSpUq2LBhg878Q4cOoXLlyrC1tcXAgQO1j1QHgLi4OFSuXBlhYWE66wwbNgznz5/HsWPHXrl/IipcDBNEhcDR0RHTpk3DiRMncPnyZQwdOhRDhw7Fn3/+qV1mwoQJOHDgAH755RcEBwdj3LhxGDNmDPbs2aNd5sSJEwgICECHDh1w+vRpnDlzBmPGjNF5vkOXLl2gUqlw+PBhnDt3DrVr10aXLl0QEREBAJDJZOjevTv27NmDW7duYd26dfjrr78watSoXI9hx44dsLW1RfPmzXWm29raIjw8XPvz8of8y3788UdMnToVM2fOxLVr1zBr1iyMHj1aW6Og0WjQv39/jBo1CidOnMDZs2fx008/adefMmUKRo0aBS8vL53tmpmZoX///liyZEmu+yeiwscwQSXOjh07ULNmTSgUCjg5OaF9+/ZISkrSWeabb76Bu7s7nJycMHr0aCiVSu28tLQ0TJw4ER4eHrCyskLjxo1x9OjRAi1j69at0bNnT/j5+cHHxwdjx45FrVq1cPz4ce0y//77LwYPHozWrVvD29sb7733HmrXro3Tp09rlxk/fjw+/vhjTJkyBdWrV0eVKlXQp08fmJubA8h4ANPt27cxZcoU1KpVC5UqVcL8+fORnJyMq1evAgAcHBzwwQcfoEGDBvDy8kK7du3w4YcfvvIb/ZYtW9C1a9cs0yVJgpubm/bH1dU11+1s3LgR77//Pvr27YuKFSvinXfewXvvvYevv/5aewzPnj3Dhx9+iOrVq6Nbt24IDg7WvkdnzpzB2LFjs912165dsWfPHp2aGiIqegwTVKKEh4ejX79+GDZsGIKDg3H06FH06tULLz5i5siRIwgJCcGRI0ewfv16rFu3DuvWrdPOHzNmDE6cOIEtW7bg8uXLePvttxEQEIDbt2/nqQxHjx6FJEkIDQ3N0/JCCAQGBuLmzZto1aqVdnqzZs2wZ88ePHr0CEIIHDlyBLdu3UKHDh0AAJGRkTh16hRcXFzQrFkzuLq6wt/fXyeQODk5aZsNkpKSoFKpsHLlSri4uKB+/frZlufx48fYtWsX/P39cy338ePH0aBBgyzTExMT4eXlBU9PT3Tv3h3Xrl3LdTtpaWlZmkIUCgVOnz4NpVIJZ2dnuLu74+DBg0hOTsaxY8dQq1YtKJVKfPDBB1i5ciXkcnm2227QoAFUKhVOnTqVaxmIqHAxTFCJEh4eDpVKhV69esHb2xs1a9bEhx9+CGtra+0yDg4OWLZsGapWrYouXbqgc+fOCAwMBADcv38fa9euxfbt29GyZUv4+Phg4sSJaNGiBdauXZunMlhaWqJKlSowNTXNdbm4uDhYW1vDzMwMnTt3xtKlS/HGG29o5y9duhTVqlVDuXLlYGZmhoCAAPzwww/awHH37l0AGR1AR44ciQMHDqBevXpo166dNvhIkoS//voLFy5cgI2NDSwsLLB48WIcOHAADg4OOuXp168fLC0t4eHhAVtbW6xevTrHssfGxiIuLg5ly5bVmV6lShWsWbMGv//+O3755RdoNBo0a9YMDx8+zHFbHTt2xOrVq3Hu3DkIIXD27FmsXr0aSqUSz549gyRJ2LZtG7788ktUr14ddevWxbBhwzB//ny0adMGFhYWaN68OapUqYJly5Zl+V3Y2dm9sqmFiAoXR3NQiVK7dm20a9cONWvWRMeOHdGhQwf07t1b54OzevXqOt9k3d3dceXKFQDAlStXoFarUblyZZ3tpqWlwcnJKU9laNSoEW7cuPHK5WxsbHDx4kUkJiYiMDAQEyZMQMWKFdG6dWsAGWHi5MmT2LNnD7y8vPD3339j9OjRKFu2LNq3bw+NRgMAeP/99zF06FAAQN26dREYGIg1a9Zg3rx5EEJg9OjRcHFxwbFjx6BQKLB69Wp07doVZ86cgbu7u7Y83377LWbMmIFbt25h6tSpmDBhApYvX55t2TObDV6uUWjatCmaNm2qfd2sWTP4+flh5cqV+PLL7EcBTZ8+HREREWjSpAmEEHB1dcXgwYOxYMECbd+PFi1a4MyZM9p1bt26hQ0bNuDChQto1aoVxo4dizfffBM1atRAq1atUKtWLe2yCoUCycnJr/x9EFHhYZigEkUul+PQoUP4999/cfDgQSxduhTTpk3DqVOnUKFCBQDIUmMgSZL2gzkxMRFyuRznzp3LUnX+Yu1GQZDJZPD19QUA1KlTB8HBwZg3bx5at26NlJQUfPbZZ/jtt9/QuXNnAECtWrVw8eJFfPPNN2jfvr02CFSrVk1nu35+frh//z4A4PDhw/jjjz8QExMDW1tbAMDy5ctx6NAhrF+/HlOmTNGul9nHoWrVqnB0dETLli0xffp0ncCRycnJCZIkISYmJtdjNDU1Rd26dXHnzp0cl1EoFFizZg1WrlyJJ0+ewN3dHT/99BNsbGzg7Oyc7Trvv/8+Fi1aBI1GgwsXLuDtt9+GpaUl/P39ERQUpBMmoqOjc9wOERUNNnNQiSNJEpo3b45Zs2bhwoULMDMzw2+//ZandevWrQu1Wo3IyEj4+vrq/Li5uRVquTUaDdLS0gAASqUSSqVSZ1QGkBGWMoOPt7c3ypYti5s3b+osc+vWLe3Ihsxv5C9vRyaTabeTU1kAaMvzMjMzM1SrVg3Xr1/P9ZjUajWuXLmSbSB5mampKcqVKwe5XI4tW7agS5cuWcoNZNzbwtHREd26dYNarQYAbQdapVKpnQYAISEhSE1NRd26dV+5fyIqPKyZoBLl1KlTCAwMRIcOHeDi4oJTp07h6dOn8PPzy9P6lStXxoABAzBo0CAsWrQIdevWxdOnTxEYGIhatWppawlyc/r0aQwaNAiBgYHw8PDIdpl58+ahQYMG8PHxQVpaGvbv34+NGzfixx9/BJAxvNLf3x+TJk2CQqGAl5cXgoKCsGHDBixevBhARmiaNGkSZsyYgdq1a6NOnTpYv349bty4gR07dgDIaHZwcHDA4MGD8cUXX0ChUGDVqlW4d++e9lj279+PJ0+eoGHDhrC2tsa1a9cwadIkNG/eHN7e3jkeZ8eOHXH8+HGMGzdOO2327Nlo0qQJfH19ERsbi4ULFyIsLAwjRozQLjN16lQ8evRIey+JW7du4fTp02jcuDFiYmKwePFiXL16FevXr8+yz8jISMyZMwf//PMPgIz+L35+fvjuu+/QoUMHBAYGYtq0adrljx07hooVK8LHx+dVvzYiKkyCjFJKSoq4fv26SElJMXRRXsv169dFx44dhbOzszA3NxeVK1cWS5cu1c4fPHiw6N69u846Y8eOFf7+/trX6enp4osvvhDe3t7C1NRUuLu7i549e4rLly8LIYRYu3atsLOz0y4/Y8YMUbt2be3rI0eOCADi3r17OZZz2rRpwtfXV1hYWAgHBwfRtGlTsWXLFp1lwsPDxZAhQ0TZsmWFhYWFqFKlili0aJHQaDQ6y82bN0+UK1dOWFpaiqZNm4pjx47pzD9z5ozo0KGDcHR0FDY2NqJJkyZi//792vmHDx8WTZs2FXZ2dsLCwkJUqlRJTJ48WcTExORYfiGEuHbtmlAoFCI2NlY7bdy4caJ8+fLCzMxMuLq6ik6dOonz58/rrDd48GCd9/v69euiTp06QqFQCFtbW9G9e3dx48aNbPf5zjvv6Pw+hRDi1KlTomrVqsLR0VHMmjVLZ16HDh3EvHnzcj0OKhol9ZpCBUMS4oUxdWQ0UlNTce/ePVSoUCFPdzAk4/T222+jXr16mDp1qqGLksW1a9fQtm1b3Lp1C3Z2doYujtHjNcW4sc8EEeVo4cKFBd4xtaCEh4djw4YNDBJExQBrJowUv0UQUUHiNcW4sWaCiIiI9MIwQURERHphmCAiIiK9MEwQERGRXhgmiIiISC8ME0RERKQXhgkqcVq3bq1zi+eCFBoaCkmScPHixULZPhW8gQMHYu7cuYYuRraaNGmCnTt3GroYRIWOz+agLBY/3lCk+5tQdlCR7i83np6eCA8PR5kyZYp0v+vWrcO4ceMQGxtbZPvctWsXVqxYgXPnziE6OhoXLlxAnTp1tPOjo6MxY8YMHDx4EPfv34ezszN69OiBL7/8UudGUYGBgZg+fTquXLkCKysrDB48GF999RVMTLJeXu7cuYO6detCLpdnOdbY2FhMmzYNu3btQnR0NLy8vPDdd9+hU6dOOR7DpUuXsH//fu0zT5RKJT7//HPs378fd+/ehZ2dHdq3b4/58+ejbNmyub4fP/zwAxYuXIiIiAjUrl0bS5cuRaNGjbTzJ0yYgHXr1sHKygrz58/HgAEDtPO2b9+ODRs2YO/evTrb/PzzzzF+/Hj07Nkz24eaEZUWPLuJXiCXy+Hm5pbtB2FJoFarc31a6IuSkpLQokULfP3119nOf/z4MR4/foxvvvkGV69exbp163DgwAEMHz5cu8ylS5fQqVMnBAQE4MKFC9i6dSv27Nmj8+jzTEqlEv369UPLli2zzEtPT8cbb7yB0NBQ7NixAzdv3sSqVatyfJBapqVLl+Ltt9/W3qUzOTkZ58+fx/Tp03H+/Hns2rULN2/eRLdu3XLdztatWzFhwgTMmDED58+fR+3atdGxY0dERkYCAPbu3Ytff/0VBw8exIIFCzBixAg8e/YMABAXF4dp06bhhx9+yLLdN998EwkJCfjf//6X6/6JSjqGCSqRVCoVxowZAzs7O5QpUwbTp0/HizdzTUtLw+TJk+Hp6Qlzc3P4+vri559/fuV2X27mWLduHezt7XWW2b17NyRJ0r6eOXMm6tSpg5UrV8LT0xOWlpbo06cP4uLiAAB///03TE1NERERobOdcePGoWXLljh69CiGDh2KuLg4SJIESZIwc+ZM7XFMnDgRHh4esLKyQuPGjXH06FHtNjLLt2fPHlSrVg3m5ua4f/9+nt7DgQMH4osvvkD79u2znV+jRg3s3LkTXbt2hY+PD9q2bYuvvvoKe/fuhUqlApDxIVyrVi188cUX8PX1hb+/PxYsWIAffvgBCQkJOtv7/PPPUbVqVfTp0yfLvtasWYPo6Gjs3r1b+zRTf39/1K5dO8fyq9Vq7NixA127dtVOs7Ozw6FDh9CnTx9UqVIFTZo0wbJly3Du3Llc35fFixdj5MiRGDp0KKpVq4YVK1bA0tISa9asAQAEBwejdevWaNCgAfr16wdbW1vcu3cPAPDpp5/igw8+QPny5bNsVy6Xo1OnTtiyZUuO+yYqDRgmqERav349TExMcPr0aXz//fdYvHgxVq9erZ0/aNAgbN68GUuWLEFwcDBWrlxZqM+YuHPnDrZt24a9e/fiwIEDuHDhAj788EMAQKtWrVCxYkVs3LhRu7xSqcSmTZswbNgwNGvWDN999x1sbW0RHh6O8PBwTJw4EQAwZswYnDhxAlu2bMHly5fx9ttvIyAgALdv39ZuKzk5GV9//TVWr16Na9euwcXFBTNnzsz18eL5FRcXB1tbW23NTVpaWpZbJysUCqSmpuLcuXPaaYcPH8b27duz/fYOAHv27EHTpk0xevRouLq6okaNGpg7dy7UanWOZbl8+TLi4uLQoEGDV5ZZkqQsoTBTeno6zp07pxOqZDIZ2rdvjxMnTgAAateujbNnzyImJgbnzp1DSkoKfH19cfz4cZw/fx4ff/xxjvtv1KgRjh07lmsZiUq6klmXS0bP09MT3377LSRJQpUqVXDlyhV8++23GDlyJG7duoVt27bh0KFD2g+IihUrFmp5UlNTsWHDBm21/NKlS9G5c2csWrQIbm5uGD58ONauXYtJkyYByKg2T01NRZ8+fWBmZgY7OztIkgQ3NzftNu/fv4+1a9fi/v372vb+iRMn4sCBA1i7dq2206FSqcTy5ct1vsWXKVMGPj4+BXqMz549w5dffon33ntPO61jx4747rvvsHnzZvTp0wcRERGYPXs2gIwHcQFAVFQUhgwZgl9++QW2trbZbvvu3bs4fPgwBgwYgP379+POnTv48MMPoVQqMWPGjGzXCQsLg1wuh4uLS45lTk1NxeTJk7W1CTkdl1qthqurq850V1dX3LhxQ3uc7777Lho2bAiFQoH169fDysoKH3zwAdatW4cff/wRS5cuRZkyZfDTTz+hevXq2u2ULVsWDx48gEajYb8JKrV4ZlOJ1KRJE52mhqZNm+L27dtQq9W4ePEi5HI5/P39i6w85cuX12nfb9q0KTQaDW7evAkAGDJkCO7cuYOTJ08CyGie6NOnD6ysrHLc5pUrV6BWq1G5cmVYW1trf4KCghASEqJdzszMDLVq1dJZd8yYMQgMDCyw44uPj0fnzp1RrVo1bRMMAHTo0AELFy7EqFGjYG5ujsqVK2s7TGZ+cI4cORL9+/dHq1atcty+RqOBi4sLfvrpJ9SvXx99+/bFtGnTsGLFihzXSUlJgbm5uc558CKlUok+ffpACKHtoKmPmTNn4s6dO7hy5Qp69uyJefPmoX379jA1NcWcOXNw/PhxjBgxAoMG6XYoVigU0Gg0SEtL07sMRMUVayao1FEoFAW2LZlMhpcfrKtUKl97Oy4uLujatSvWrl2LChUq4H//+59O34fsJCYmQi6X49y5c5DL5TrzXmyyUSgUOX6gFoSEhAQEBATAxsYGv/32G0xNTXXmT5gwAePHj0d4eDgcHBwQGhqKqVOnamuDDh8+jD179uCbb74BAAghoNFoYGJigp9++gnDhg2Du7s7TE1NdY7Tz88PERERSE9Ph5mZWZZylSlTBsnJydnOzwwSYWFhOHz4cI61EpnbkcvlePLkic70J0+e6NQUvejGjRv45ZdfcOHCBaxZswatWrWCs7Mz+vTpg2HDhiEhIQE2NjYAMkbFWFlZFeh5SVTcsGaCSqRTp07pvD558iQqVaoEuVyOmjVrQqPRICgoSO/9ODs7IyEhAUlJSdpp2d2D4v79+3j8+LFOeWQyGapUqaKdNmLECGzduhU//fQTfHx80Lx5c+08MzOzLP0D6tatC7VajcjISPj6+ur85PQhV9Di4+PRoUMHmJmZYc+ePTk+WlqSJJQtWxYKhQKbN2+Gp6cn6tWrBwA4ceIELl68qP2ZPXs2bGxscPHiRfTs2RMA0Lx5c9y5c0dnJMqtW7fg7u6ebZAAoB3Gev36dZ3pmUHi9u3b+Ouvv+Dk5JTrMZqZmaF+/fo6NTkajQaBgYFo2rRpluWFEHj//fexePFiWFtbQ61WawNm5v9f/F1evXoVdevWzbUMRCUdwwSVSPfv38eECRNw8+ZNbN68GUuXLsXYsWMBAN7e3hg8eDCGDRuG3bt34969ezh69Ci2bdv22vtp3LgxLC0t8dlnnyEkJAS//vor1q1bl2U5CwsLDB48GJcuXcKxY8fw8ccfo0+fPjof+h07doStrS3mzJmDoUOH6qzv7e2NxMREBAYG4tmzZ0hOTkblypUxYMAADBo0CLt27cK9e/dw+vRpzJs3D/v27cu13MuWLUO7du1yXSY6OhoXL17UfhjfvHkTFy9e1I46yQwSSUlJ+PnnnxEfH4+IiAhERETofFguXLgQV65cwbVr1/Dll19i/vz5WLJkibaWwc/PDzVq1ND+eHh4QCaToUaNGnBwcAAAfPDBB4iOjsbYsWNx69Yt7Nu3D3PnzsXo0aNzLL+zszPq1auH48ePa6cplUr07t0bZ8+exaZNm6BWq7VlTk9P1y7Xrl07LFu2TPt6woQJWLVqFdavX4/g4GB88MEHSEpKyvJ7AoDVq1fD2dlZO4qkefPmOHz4ME6ePIlvv/0W1apV0+nseezYMXTo0CHX3wVRSccwQSXSoEGDkJKSgkaNGmH06NEYO3asTsfAH3/8Eb1798aHH36IqlWrYuTIkTq1C3nl6OiIX375Bfv370fNmjWxefNmnT4DmXx9fdGrVy906tQJHTp0QK1atbB8+XKdZWQyGYYMGQK1Wp2lXb1Zs2YYNWoU+vbtC2dnZyxYsAAAsHbtWgwaNAiffPIJqlSpgh49euDMmTPZDkN80bNnz3T6VWRnz549qFu3Ljp37gwAeOedd1C3bl1tP4Xz58/j1KlTuHLlCnx9feHu7q79efDggXY7//vf/9CyZUs0aNAA+/btw++//44ePXrkuu+XeXp64s8//8SZM2dQq1YtfPzxxxg7dmy296t40YgRI7Bp0ybt60ePHmHPnj14+PAh6tSpo1Pmf//9V7tcSEiI9j4RANC3b1988803+OKLL1CnTh1cvHgRBw4cyNIp88mTJ/jqq6+wZMkS7bRGjRrhk08+QefOnbFt2zasXbtWpzz//vtvtqGEqDSRxMsNwmQUUlNTce/ePVSoUCHHqmtjdPPmTVStWhW3b9+Gr69vntaZOXMmdu/enadbcA8fPhxPnz7Fnj179CwpARmdMKtUqYKtW7dm2yRhaJMnT0ZMTAx++uknQxel0PGaYtzYAZPouejoaOzYsQO2trbw9PQs0G3HxcXhypUr+PXXXxkkCpBCocCGDRt0ahmKExcXF0yYMMHQxSAqdAwTZFRGjRqFX375Jdt5DRs2REhICH788UeYm5sX6H67d++O06dPY9SoUXjjjTcKdNvGrnXr1oYuQo4++eQTQxeBqEiwmcNIGWuVZGRkJOLj47OdZ2trm+sNkIgoZ8Z6TaEMrJkgo+Li4sLAQERUwDiag4iIiPTCMEFERER6YZggIiIivTBMEBERkV4YJoiIiEgvDBNU4rRu3Rrjxo0zdDGKjLEdb6b09HT4+vrq3Aa7uEhPT4e3tzfOnj1r6KIQFQscGkpZrVtdtPsbMqJo90cAMp5+uWjRIvz0008ICwtDmTJl8OGHH2LatGnaZX744QcsW7YMoaGhKF++PKZNm6bzXJFVq1Zhw4YNuHr1KgCgfv36mDt3Lho1aqSzr+DgYEyePBlBQUFQqVSoVq0adu7cmeszRlasWIEKFSqgWbNm2mlfffUV9u3bh4sXL8LMzAyxsbF5Os4ZM2Zg1apViI2NRfPmzfHjjz+iUqVKAIC0tLT/t3fvcT2e/wPHX5/OSSU62tJBSs45t2xpDpmNsWEOW84WGhPGkHLYnOZUOUsYlcx5zGGUr8gppVISon03aSYsHaTP/fvDo/vnXkXWvixdz8ejx3yu67rf13Xfrc/9/lz39blvRowYwZ49e7C0tGTlypV07txZ3n7RokVkZmYSFBQkl+no6DBp0iSmTJmieNqoIFRXYmZCEKqp8ePHs379er777jsuX77M3r17FUnAqlWr+PrrrwkICODSpUvMmjWLsWPHsm/fPrlNdHQ0AwYMICoqitjYWKytrenatSu//vqr3ObatWt06NCBhg0bEh0dTWJiIn5+fs+8sZEkSQQHBzN8+HBF+aNHj+jbty+jR4+u8H4uXLiQwMBAVq9ezZkzZzAwMMDT05OCggIA1q5dS1xcHLGxsYwaNYqBAwdSci+/jIwM1q1bxzfffFMq7qBBg4iJieHSpUsVHosgvK5EMiFUSY8fP8bHxwdjY2NMTU3x8/Pj6Zu5FhYWMmXKFKytrdHV1cXBwYGQkJBnxlSr1bz55pusWrVKUR4fH4+GhgY3b95EkiQCAgKoV68eurq61K1bl3HjxlW43+PHj9O2bVt0dXWxsrJi6tSpPH78WK5/+PAhXl5e1KxZEysrKxYvXlxqnIWFhUyaNIk33ngDAwMD2rVrR3R09Asdv9TUVFatWsWePXvo2bMndnZ2tGrVSnGr7++//57PP/+cTz75BHt7e/r378+oUaNYsGCB3Gbr1q2MGTOGFi1a0LBhQ9avX49arVZ8Wp8+fTrdu3dn4cKFuLi4UL9+fXr27PnMm4fFxcVx7do1+YmmJWbNmsWECRNo2rRphfZTkiSWLVvGjBkz+PDDD2nWrBmbN2/mt99+Y/fu3fKx6NmzJ40bN2bs2LH8/vvv8rM+Ro8ezYIFCzAyMioV28TEBDc3NyIiIio0FkF4nYlkQqiSNm3ahJaWFmfPnmX58uUsWbKE9ev///KMl5cX4eHhBAYGkpqaypo1a6hZs+YzY2poaDBgwADCwsIU5Vu3bsXNzQ0bGxt27NjB0qVLWbNmDenp6ezevVtxYntWv7/++ivdu3enTZs2XLx4kVWrVhESEsLcuXPl7SdPnszx48fZs2cPhw8fJjo6mgsXLijG4+PjQ2xsLBERESQmJtK3b1+6detGenq63EalUrFx48Zy93Xfvn3Y29vz448/Ymdnh62tLSNGjODu3btym8LCwlKzB/r6+pw9e5aioqIy4+bl5VFUVETt2rWBJwna/v37cXR0xNPTE3Nzc9q1ayefyMtz4sQJHB0dMTQ0fGa758nIyCArK0tx2cLY2Jh27doRGxsLQPPmzYmJiSE/P59Dhw5hZWWFqakpW7duRU9Pj969e5cbv23btpw4caJSYxSE14FYMyFUSdbW1ixduhSVSoWTkxNJSUksXbqUkSNHcuXKFSIjIzly5Ih8ErG3t69Q3EGDBrF48WIyMzOpV68earWaiIgIZsyYAUBmZiaWlpZ07twZbW1t6tWrJ18aeF6/K1euxNramuDgYFQqFQ0bNuS3335jypQpzJw5k7y8PEJCQtiyZQudOnUCniRNb775phwjMzOT0NBQMjMzqVu3LgCTJk3i4MGDhIaG8u233wLg5OSEsbFxuft5/fp1bt68yfbt29m8eTPFxcVMmDCBPn36cOzYMQA8PT1Zv349vXr1omXLlsTFxbF+/XqKioq4c+cOVlZWpeJOmTKFunXryvufnZ1Nbm4u8+fPZ+7cuSxYsICDBw/y0UcfERUVhbu7e5nju3nzprx/lZGVlQWAhYWFotzCwkKuGzZsGImJiTRq1AhTU1MiIyPJyclh5syZREdHM2PGDCIiIqhfvz4bNmzgjTfekOPUrVuXmzdvVnqcglDViWRCqJLat2+PSqWSX7u6urJ48WKKi4tJSEhAU1Oz3BPVs7Ro0QJnZ2fCwsKYOnUqx48fJzs7m759+wLQt29fli1bhr29Pd26daN79+706NEDLS2t5/abmpqKq6urYtxubm7k5uby3//+l5ycHB49ekS7du3k+tq1a+Pk5CS/TkpKori4GEdHR0XswsJC6tSpI7++fPnyM/dTrVZTWFjI5s2b5VghISG0atWKtLQ0nJyc8PPzIysri/bt2yNJEhYWFgwePJiFCxeioVF6UnP+/PlEREQQHR0tz2io1WrgyVNTJ0yYIB/jU6dOsXr16nKPVX5+/kt7WJS2tjYrVqxQlA0dOpRx48YRHx/P7t27uXjxIgsXLmTcuHHs2LFDbqevr09eXt5LGacg/JuJyxzCa0dfX79S2w8aNEi+1BEWFka3bt3kE7W1tTVpaWmsXLkSfX19xowZwzvvvENRUVGl+62I3NxcNDU1iYuLIyEhQf5JTU1l+fLlFY5jZWWFlpaWIilxdnYGnsx+wJPjuGHDBvLy8rhx4waZmZnY2tpiaGiImZmZIt53333H/PnzOXz4MM2aNZPLTU1N0dLSolGjRor2zs7Ocj9lMTU1JScnp8L7Ux5LS0sAbt++rSi/ffu2XPdXUVFRXLp0CR8fH6Kjo+nevTsGBgb069ev1NqUu3fvljoWglAdiWRCqJLOnDmjeH369GkaNGiApqYmTZs2Ra1Wc/z48b8Ve+DAgSQnJxMXF8cPP/zAoEGDFPX6+vr06NGDwMBAoqOjiY2NJSkp6bn9Ojs7Exsbq1goevLkSQwNDXnzzTepX78+2train3LycnhypUr8msXFxeKi4vJzs7GwcFB8VPeybEsbm5uPH78mGvXrsllJf3Y2Ngo2mpra/Pmm2+iqalJREQEH3zwgWJmYuHChcyZM4eDBw/SunVrxbY6Ojq0adOGtLQ0RfmVK1dK9fM0FxcXLl++rDhWf4ednR2WlpaKBaEPHjzgzJkzuLq6lmpfUFDA2LFjWbNmDZqamhQXF8vrQ4qKiiguLla0T05OxsXFpVJjFITXgUgmhCopMzMTX19f0tLSCA8PJygoiPHjxwNga2vL4MGDGTZsGLt37yYjI4Po6GgiIyMrFNvW1pa33nqL4cOHU1xcTM+ePeW6jRs3EhISQnJyMtevX2fLli3o6+tjY2Pz3H7HjBnDL7/8whdffMHly5fZs2cP/v7++Pr6oqGhQc2aNRk+fDiTJ0/m2LFjJCcnM2TIEMWJ29HRkUGDBuHl5cXOnTvJyMjg7NmzzJs3j/3798vtGjZsyK5du8rdx86dO9OyZUuGDRtGfHw8cXFxfP7553Tp0kWerbhy5QpbtmwhPT2ds2fP0r9/f5KTk+V1GQALFizAz8+PDRs2YGtrS1ZWFllZWeTm5sptJk+ezLZt21i3bh1Xr14lODiYffv2MWbMmHLH5+HhQW5ubqmvXWZmZpKQkEBmZqZ8SSshIUHR39P7rlKp+PLLL5k7dy579+4lKSkJLy8v6tatS69evUr1O2fOHLp37y4nCG5ubuzcuZPExESCg4Nxc3NTtD9x4gRdu3Ytdz8EoboQayaEKsnLy4v8/Hzatm2LpqYm48ePZ9SoUXL9qlWrmDZtGmPGjOGPP/6gXr16TJs2rcLxBw0axJgxY/Dy8lJcvqhVqxbz58/H19eX4uJimjZtyr59++TLIM/q94033uDAgQNMnjyZ5s2bU7t2bYYPHy4v7oQnN0jKzc2lR48eGBoaMnHiRO7fv68YW2hoKHPnzmXixIn8+uuvmJqa0r59ez744AO5TVpaWqntnqahocG+ffv44osveOeddzAwMOC9995TfBW1uLiYxYsXk5aWhra2Nh4eHpw6dQpbW1vFcX706BF9+vRRxPf39ycgIACA3r17s3r1aubNm8e4ceNwcnJix44ddOjQodzx1alTh969e7N161bmzZsnl8+cOZNNmzbJr0tO+lFRUXTs2LHMff/qq694+PAho0aN4t69e3To0IGDBw+WWpORnJxMZGQkCQkJclmfPn2Ijo7m7bffxsnJSfFNn9jYWO7fv19q3wWhOlJJlZ1HFKqkgoICMjIysLOze2kL3QThRSQmJtKlSxeuXbv23K/1vgqffPIJzZs3f6Ek9XUm3lOqN3GZQxCEf6VmzZqxYMECMjIyXvVQSnn06BFNmzaVv6EiCNWdmJmopqrrpwhvb2+2bNlSZt2nn37K6tWrX/KIBOH1UF3fU4QnRDJRTVXXP/zs7GwePHhQZp2RkdEzb/EsCEL5qut7ivCEWIApVCvm5uYiYRAEQfiHiTUTgiAIgiBUikgmBEEQBEGoFJFMCIIgCIJQKSKZEARBEAShUkQyIQiCIAhCpYhkQhAEQRCEShFfDRVKufjzy+2veecXa9+xY0datGjBsmXL/ifj+avo6Gg8PDzIycmhVq1alY73ssf/OgoJCWHbtm0cPnz4VQ+llKlTp/Lw4UOCgoJe9VAE4aURMxOC8C8zZMiQMp9o+bLMmzePNm3aYGhoiLm5Ob169VI8QvzGjRuoVKoyf7Zv3y63GzduHK1atUJXV5cWLVqU6qegoIAhQ4bQtGlTtLS0KrzPBQUF+Pn54e/vryjfvn07DRs2RE9Pj6ZNm3LgwIEK7/PJkyfR0tIqNc6tW7dibW2NiYkJvr6+irobN27g6OhY6iZokyZNYtOmTVy/fr3C/QtCVSeSCUEQFI4fP87YsWM5ffo0R44coaioiK5du/Lw4UMArK2tuXXrluJn1qxZ1KxZk/fee08Ra9iwYXzyySdl9lNcXIy+vj7jxo2jc+eKT0/98MMPGBkZKR4HfurUKQYMGMDw4cOJj4+nV69e9OrVi+Tk5OfGu3fvHl5eXnTq1ElRfufOHUaMGMF3333H4cOH2bJlCz/++KNcP2bMGObPn4+RkZFiO1NTUzw9PVm1alWF90kQqjqRTAhV0uPHj/Hx8cHY2BhTU1P8/Px4+s7whYWFTJkyBWtra3R1dXFwcCAkJKRCsQ8cOICjoyP6+vp4eHhw48aNUm1iYmJ4++230dfXx9ramnHjxsknW4CVK1fSoEED9PT0sLCweOZjqvfv34+xsTFbt24lICCATZs2sWfPHvnTfnR0NABJSUm8++676OvrU6dOHUaNGkVubq4cp2RGY9asWZiZmWFkZIS3tzePHj2q0H6XOHjwIEOGDKFx48Y0b96cjRs3kpmZSVxcHACamppYWloqfnbt2kW/fv0UT/cMDAxk7Nix2Nvbl9mPgYEBq1atYuTIkVhaWlZ4fBEREfTo0UNRtnz5crp168bkyZNxdnZmzpw5tGzZkuDg4OfG8/b2ZuDAgbi6uirKr1+/jrGxMZ988glt2rTBw8OD1NRUAMLDw9HW1uajjz4qM2aPHj2IiIio8D4JQlUnkgmhStq0aRNaWlqcPXuW5cuXs2TJEtavXy/Xe3l5ER4eTmBgIKmpqaxZs6ZCj7H+5Zdf+Oijj+jRowcJCQmMGDGCqVOnKtpcu3aNbt268fHHH5OYmMi2bduIiYnBx8cHgPPnzzNu3Dhmz55NWloaBw8e5J133imzv7CwMAYMGMDWrVsZNGgQkyZNol+/fnTr1k3+1P/WW2/x8OFDPD09MTEx4dy5c2zfvp2ff/5Z7rPE0aNHSU1NJTo6mvDwcHbu3MmsWbPk+o0bN6JSqSp8nAHu378PQO3atcusj4uLIyEhgeHDh79Q3L8rJiaG1q1bK8piY2NLzW54enoSGxv7zFihoaFcv3691CUTgAYNGpCXl0d8fDx3797l3LlzNGvWjJycHPz8/J6ZqLRt25b//ve/ZSaigvA6EgswhSrJ2tqapUuXolKpcHJyIikpiaVLlzJy5EiuXLlCZGQkR44ckU8w5X06/qtVq1ZRv359Fi9eDCDHXrBggdxm3rx5DBo0iC+//BJ4ctIJDAzE3d2dVatWkZmZiYGBAR988AGGhobY2Njg4uJSqq8VK1Ywffp09u3bh7u7OwA1a9ZEX1+fwsJCxaf1TZs2UVBQwObNmzEwMAAgODiYHj16sGDBAiwsLADQ0dFhw4YN1KhRg8aNGzN79mwmT57MnDlz0NDQwNjYGCcnpwofZ7VazZdffombmxtNmjQps01ISAjOzs689dZbFY77d927d4/79+9Tt25dRXlWVpZ8DEpYWFiQlZVVbqz09HSmTp3KiRMn0NIq/VZoYmLCpk2b8PLyIj8/Hy8vLzw9PRk+fDg+Pj5kZGTQs2dPioqKCAgIUMw+lYzv5s2b2NraVmKPBaFqEMmEUCW1b99e8Qnb1dWVxYsXU1xcTEJCApqamvIJ+kWkpqbSrl07Rdlfp78vXrxIYmIiW7dulcskSUKtVpORkUGXLl2wsbHB3t6ebt260a1bN3r37k2NGjXk9j/88APZ2dmcPHmSNm3aVGhczZs3lxMJADc3N9RqNWlpafKJtHnz5op+XF1dyc3N5ZdffsHGxobevXvTu3fvCh+PsWPHkpycTExMTJn1+fn5hIWF4efnV+GYlZGfnw9Q6adSFhcXM3DgQGbNmoWjo2O57f56vI4fP05iYiJBQUE4ODgQHh6OpaUlbdu25Z133pEfIqevrw9AXl5epcYpCFWFuMwhvHZK3sj/V3Jzc/n8889JSEiQfy5evEh6ejr169fH0NCQCxcuEB4ejpWVFTNnzqR58+bcu3dPjuHi4oKZmRkbNmxQrPX4N/Hx8eHHH38kKiqKN998s8w2P/zwA3l5eXh5eb2UMdWpUweVSkVOTo6i3NLSktu3byvKbt++Xe5ajD///JPz58/j4+ODlpYWWlpazJ49m4sXL6KlpcWxY8dKbVNYWMiYMWNYs2YNV69e5fHjx7i7u+Pk5ISjoyNnzpyR2969excAMzOzyu6yIFQJIpkQqqSn37gBTp8+TYMGDdDU1KRp06ao1WqOHz/+wnGdnZ05e/ZsqdhPa9myJSkpKTg4OJT60dHRAUBLS4vOnTuzcOFCEhMTuXHjhuIEVb9+faKiotizZw9ffPGFIr6Ojg7FxcWlxnXx4kXFIs+TJ0+ioaGhuGxx8eJF+dN7ydhr1qyJtbV1hY+BJEn4+Piwa9cujh07hp2dXbltQ0JC6Nmz50s7aero6NCoUSNSUlIU5a6urhw9elRRduTIkVKzSiWMjIxISkpSJITe3t44OTmRkJBQanYKYO7cuXTr1o2WLVtSXFzM48eP5bqioiLF7yw5ORltbW0aN25cmd0VhCpDJBNClZSZmYmvry9paWmEh4cTFBTE+PHjAbC1tWXw4MEMGzaM3bt3k5GRQXR0NJGRkc+N6+3tTXp6OpMnTyYtLY2wsDA2btyoaDNlyhROnTqFj48PCQkJpKens2fPHnkx5I8//khgYCAJCQncvHmTzZs3o1arS61VcHR0JCoqih07dsjrL0rGn5iYSFpaGnfu3KGoqIhBgwahp6fH4MGDSU5OJioqii+++ILPPvtMsVbg0aNHDB8+nJSUFA4cOIC/vz8+Pj5oaDz5U9+1axcNGzZ85jEYO3YsW7ZsISwsDENDQ7KyssjKylIkKQBXr17lP//5DyNGjCgzztWrV0lISJC3LTlpP/3tkpSUFBISErh79y7379+X2zyLp6dnqcsu48eP5+DBgyxevJjLly8TEBAgzzyU+Prrr+UZFA0NDZo0aaL4MTc3R09PjyZNmiguJ5WMc9u2bcyePRuAhg0boqGhQUhICPv37+fy5cuKy1UnTpyQv+0jCNWCJFRL+fn5UkpKipSfn/+qh/LC3N3dpTFjxkje3t6SkZGRZGJiIk2bNk1Sq9Vym/z8fGnChAmSlZWVpKOjIzk4OEgbNmyoUPx9+/ZJDg4Okq6urvT2229LGzZskAApJydHbnP27FmpS5cuUs2aNSUDAwOpWbNm0jfffCNJkiSdOHFCcnd3l0xMTCR9fX2pWbNm0rZt2xTjHz9+vPw6JSVFMjc3l3x9fSVJkqTs7Gw5NiBFRUVJkiRJiYmJkoeHh6SnpyfVrl1bGjlypPTnn3/KcQYPHix9+OGH0syZM6U6depINWvWlEaOHCkVFBTIbUJDQ6Xn/dkDZf6EhoYq2n399deStbW1VFxcXGYcd3f3MuNkZGTIbWxsbMps8yyXLl2S9PX1pXv37inKIyMjJUdHR0lHR0dq3LixtH//fkX94MGDJXd393Lj+vv7S82bNy9VrlarJTc3N2nfvn2K8n379kn16tWTLCwspHXr1inqnJycpPDw8Gfux+umKr+nCJWnkqR/6QVb4X+qoKCAjIwM7OzsKr2YTfh3GDJkCPfu3WP37t2veij/c3379qVly5Z8/fXXr3oopfz0009MnDiRxMTEMr8l8roS7ynVm7jMIQhClbNo0aIK3TfkVXj48CGhoaHVKpEQBJFMCNWKt7c3NWvWLPPH29v7VQ9PqCBbW9tSC1f/Lfr06VPmAk5BeJ2JyxzVVHWdkszOzi71YKYSRkZG8n0CBEF4MdX1PUV4QszDCdWKubm5SBgEQRD+YeIyhyAIgiAIlSKSCUEQBEEQKkUkE4IgCIIgVIpIJgRBEARBqBSRTAiCIAiCUCni2xxCKRk/r3+p/dl1LvvZDuXp2LEjLVq0YNmyZf+bAb1CN27cwM7Ojvj4eFq0aEF0dDQeHh7k5ORQq1atVz28f8zRo0fx8fEhOTkZTU3NVz0chdWrV7N//3727dv3qociCFWGmJkQhErauHHj/+xE/9Zbb3Hr1i2MjY3/sZhFRUVMmTKFpk2bYmBgQN26dfHy8uK3334r1Xb//v20a9cOfX19TExM6NWrl6L+3LlzdOrUiVq1amFiYoKnpycXL1587hi++uorZsyYoUgkoqOjadmyJbq6ujg4OJR6wFpZEhMTefvtt9HT08Pa2pqFCxcq6o8cOYKjoyNGRkZ89tlnioeM3b9/H0dHR27evKnYZtiwYVy4cIETJ048t39BEJ4QyYQgPIMkSYpHTb9sOjo6WFpaolKp/rGYeXl5XLhwAT8/Py5cuMDOnTtJS0ujZ8+einY7duzgs88+Y+jQoVy8eJGTJ08ycOBAuT43N5du3bpRr149zpw5Q0xMDIaGhnh6elJUVFRu/zExMVy7do2PP/5YLsvIyOD999/Hw8ODhIQEvvzyS0aMGMGhQ4fKjfPgwQO6du2KjY0NcXFxLFq0iICAANauXQuAWq1m4MCBeHt7Exsby/nz5+U6gKlTp+Lt7Y2NjY0iro6ODgMHDiQwMLBiB1QQBJFMCFXT48eP8fHxwdjYGFNTU/z8/Hj6Zq6FhYVMmTIFa2tr+ZNuSEjIc+NGR0ejUqn46aefaNWqFbq6usTExHDx4kU8PDwwNDTEyMiIVq1acf78eaKjoxk6dCj3799HpVKhUqkICAgAQKVSlXroVq1atRSfuM+ePYuLiwt6enq0bt2a+Pj4Msdz7949uWzHjh00btwYXV1dbG1tWbx48QsdO2NjY44cOUK/fv1wcnKiffv2BAcHExcXR2Zmpnx8x48fz6JFi/D29sbR0ZFGjRrRr18/Oc7ly5e5e/cus2fPxsnJicaNG+Pv78/t27dLfdp/WkREBF26dFHcJXH16tXY2dmxePFinJ2d8fHxoU+fPixdurTcOFu3buXRo0ds2LCBxo0b079/f8aNG8eSJUsAuHPnDnfu3GHMmDE0btyYnj17kpqaCsCpU6c4d+6c/Nj6v+rRowd79+4t9dh1QRDKJpIJoUratGkTWlpanD17luXLl7NkyRLWr///tR5eXl6Eh4cTGBhIamoqa9aseaEHQ02dOpX58+eTmppKs2bNGDRoEG+++Sbnzp0jLi6OqVOnoq2tzVtvvcWyZcswMjLi1q1b3Lp1i0mTJlWoj9zcXD744AMaNWpEXFwcAQEBz902Li6Ofv360b9/f5KSkggICMDPz0+RoAQEBGBra1vhfQXkZKjkcs2FCxf49ddf0dDQwMXFBSsrK9577z2Sk5PlbZycnKhTpw4hISE8evSI/Px8QkJCcHZ2fmb/J06coHXr1oqy2NhYOnfurCjz9PQkNja23DixsbG888476OjoKLZJS0sjJycHMzMzrKysOHz4MHl5eZw4cYJmzZpRVFTE6NGjWbNmTbnrNVq3bs3jx485c+ZMuf0LgvD/xAJMoUqytrZm6dKlqFQqnJycSEpKYunSpYwcOZIrV64QGRnJkSNH5BOUvb39C8WfPXs2Xbp0kV9nZmYyefJkGjZsCECDBg3kOmNjY1QqFZaWli/UR1hYGGq1mpCQEPT09GjcuDH//e9/GT16dLnbLFmyhE6dOuHn5weAo6MjKSkpLFq0iCFDhgBgampK/fr1KzyOgoICpkyZwoABAzAyMgLg+vXrwJPEZMmSJfIMSMeOHbly5Qq1a9fG0NCQ6OhoevXqxZw5c+TjcujQoWc+MfPmzZvUrVtXUZaVlYWFhYWizMLCggcPHpCfn4++vn6pOFlZWdjZ2ZXapqTOxMSEyMhIJkyYwPjx4+nevTvDhg1j/vz5eHh4oKenh5ubG3fu3OGLL77Ax8dHjlOjRg2MjY2fOcMiCML/EzMTQpXUvn17xToCV1dX0tPTKS4uJiEhAU1NTdzd3f92/L9+cvb19WXEiBF07tyZ+fPnc+3atb8du0TJrMfT0/2urq7P3cbNzU1R5ubmJu87gI+PD0ePHq3QGIqKiujXrx+SJLFq1Sq5XK1WAzB9+nQ+/vhjWrVqRWhoKCqViu3btwOQn5/P8OHDcXNz4/Tp05w8eZImTZrw/vvvP/PyQH5+/kt7EFSHDh04d+4cGRkZrFixgoyMDDZv3szcuXP57LPPGDVqFCdOnGD27NkkJiYqttXX1ycvL++ljFMQqjqRTAivnbI+xb4oAwMDxeuAgAAuXbrE+++/z7Fjx2jUqBG7du16ZgyVSsVfH8r7rIWJL1tJInHz5k2OHDkiz0oAWFlZAdCoUSO5TFdXF3t7e3ldRVhYGDdu3CA0NJQ2bdrQvn17wsLCyMjIYM+ePeX2a2pqSk5OjqLM0tKS27dvK8pu376NkZFRub/P8rYpqSvL559/zuLFi1Gr1cTHx9O3b1/Mzc1xd3fn+PHjirZ3797FzMys3P0QBOH/iWRCqJL+ei379OnTNGjQAE1NTZo2bYparS51cqgsR0dHJkyYwOHDh/noo48IDQ0Fnqz+L5kVeJqZmRm3bt2SX6enpys+6To7O5OYmEhBQYFiP57F2dmZkydPKspOnjyJo6PjC92voSSRSE9P5+eff6ZOnTqK+pLFp2lpaYptbty4IX/7IS8vDw0NDcUMUcnrkpmNsri4uJCSkqIoc3V1LTWbcuTIkWfO1Li6uvKf//xHkaAdOXIEJycnTExMSrUPCQmhdu3a9OzZU/59lWxbVFSk+B1eu3aNgoICXFxcyu1fEIT/J5IJoUrKzMzE19eXtLQ0wsPDCQoKklfm29raMnjwYIYNG8bu3bvJyMggOjqayMjIv9VXfn4+Pj4+REdHc/PmTU6ePMm5c+dwdnaW+8vNzeXo0aPcuXNHThjeffddgoODiY+P5/z583h7e6OtrS3HHThwICqVipEjR5KSksKBAwf47rvvnjmWiRMncvToUebMmcOVK1fYtGkTwcHBioWbwcHBdOrUqdwYRUVF9OnTh/Pnz7N161aKi4vJysoiKytLvg+DkZER3t7e+Pv7c/jwYdLS0uS1HH379gWgS5cu5OTkMHbsWFJTU7l06RJDhw5FS0sLDw+Pcvv39PQkJiZGUebt7c3169f56quvuHz5MitXrpTXO5S3XwMHDkRHR4fhw4dz6dIltm3bxvLly/H19S3VZ3Z2NnPnziUoKAgAExMTnJ2dWbZsGbGxsRw9elRx+ejEiRPY29u/0NoTQajWJKFays/Pl1JSUqT8/PxXPZQX5u7uLo0ZM0by9vaWjIyMJBMTE2natGmSWq2W2+Tn50sTJkyQrKysJB0dHcnBwUHasGHDc2NHRUVJgJSTkyOXFRYWSv3795esra0lHR0dqW7dupKPj4/i2Hl7e0t16tSRAMnf31+SJEn69ddfpa5du0oGBgZSgwYNpAMHDkjGxsZSaGiovF1sbKzUvHlzSUdHR2rRooW0Y8cOCZDi4+PLHc8PP/wgNWrUSNLW1pbq1asnLVq0SLEP/v7+ko2NTbn7mJGRIQFl/kRFRcntHj16JE2cOFEyNzeXDA0Npc6dO0vJycmKWIcPH5bc3NwkY2NjycTERHr33Xel2NjYZx7jP/74Q9LT05MuX76sKI+KipJatGgh6ejoSPb29orjVN5+Xbx4UerQoYOkq6srvfHGG9L8+fPL7LN///5SUFCQouzMmTNSw4YNpdq1a0uzZs1S1HXt2lWaN2/eM/dDUKrK7ylC5akk6S8XdYVqoaCggIyMDOzs7F7aYjhBKDF58mQePHjAmjVrXvVQSrl06RLvvvsuV65c+UfvPPq6E+8p1Zu4zCEIwks3ffp0bGxsnrm24lW5desWmzdvFomEILwAMTNRTVXXTxHe3t5s2bKlzLpPP/2U1atXv+QRCcLrobq+pwhPiGSimqquf/jZ2dk8ePCgzDojIyPMzc1f8ogE4fVQXd9ThCfEHTCFasXc3FwkDIIgCP8wsWZCEARBEIRKEcmEIAiCIAiVIpIJQRAEQRAqRSQTgiAIgiBUikgmBEEQBEGoFPFtDqGUoj2/vtT+tD9844Xad+zYkRYtWrBs2bL/zYBeoiFDhnDv3j12795dofY3btzAzs6O+Ph4WrRo8T8dW2V89tlnODs7M23atFc9lFLat2/P5MmT+fjjj1/1UAThtSFmJgThJbhx4wYqlYqEhIRXPRQALl68yIABA7C2tkZfXx9nZ2eWL1+uaLNz5066dOmCmZkZRkZGuLq6cujQoQrFPnDgAOPGjZPLJEli5syZWFlZoa+vT+fOnUlPT39urBUrVmBra4uenh7t2rXj7NmzinpfX19q166NtbU1W7duVdRt376dHj16lIo5Y8YMpk6d+q+8+6YgVFUimRCEaiguLg5zc3O2bNnCpUuXmD59Ol9//TXBwcFym//85z906dKFAwcOEBcXh4eHBz169CA+Pv6ZsYOCgujbty81a9aUyxYuXEhgYCCrV6/mzJkzGBgY4OnpqXj8+l9t27YNX19f/P39uXDhAs2bN8fT05Ps7GwA9u3bR1hYGIcPH2bhwoWMGDGCO3fuAHD//n2mT5/OihUrSsV97733+PPPP/npp59e6JgJglA+kUwIVdLjx4/x8fHB2NgYU1NT/Pz8ePpmroWFhUyZMgVra2t0dXVxcHAgJCTkuXGjo6NRqVQcOnQIFxcX9PX1effdd8nOzuann37C2dkZIyMjBg4cKD9qHODgwYN06NCBWrVqUadOHT744AOuXbsm19vZ2QHg4uKCSqWiY8eOZfb/vDglLl++zFtvvYWenh5NmjTh+PHjFT10AAwbNozly5fj7u6Ovb09n376KUOHDmXnzp1ym2XLlvHVV1/Rpk0bGjRowLfffkuDBg3Yt29fuXGLi4v54YcfFDMCkiSxbNkyZsyYwYcffkizZs3YvHkzv/322zMv7yxZsoSRI0cydOhQGjVqxOrVq6lRowYbNmwAIDU1lY4dO9K6dWsGDBiAkZERGRkZAHz11VeMHj2aevXqlYqrqalJ9+7diYiIeKFjJghC+UQyIVRJmzZtQktLi7Nnz7J8+XKWLFnC+vXr5XovLy/Cw8MJDAwkNTWVNWvWKD4pP09AQADBwcGcOnWKX375hX79+rFs2TLCwsLYv38/hw8fJigoSG7/8OFDfH19OX/+PEePHkVDQ4PevXvLU+kl0/M///wzt27dUpy0n/a8OCUmT57MxIkTiY+Px9XVlR49evDHH3/I9ba2tgQEBFR4f+HJp/natWuXW69Wq/nzzz+f2SYxMZH79+/TunVruSwjI4OsrCw6d+4slxkbG9OuXTtiY2PLjPPo0SPi4uIU22hoaNC5c2d5m+bNm3P+/HlycnKIi4sjPz8fBwcHYmJiuHDhguIyy1+1bduWEydOlFsvCMKLEQswhSrJ2tqapUuXolKpcHJyIikpiaVLlzJy5EiuXLlCZGQkR44ckU9G9vb2LxR/7ty5uLm5ATB8+HC+/vprrl27Jsfp06cPUVFRTJkyBaDUYr4NGzZgZmZGSkoKTZo0wczMDIA6depgaWlZbr/Pi1PCx8dHbrtq1SoOHjxISEgIX331FQD169fH1NS0wvt76tQptm3bxv79+8tt891335Gbm0u/fv3KbXPz5k00NTUVtyzPysoCwMLCQtHWwsJCrvurO3fuUFxcXOY2ly9fBsDT05NPP/2UNm3aoK+vz6ZNmzAwMGD06NFs3LiRVatWERQUhKmpKWvXrqVx48ZynLp16/LLL7+gVqvR0BCfqQShssRfkVAltW/fHpVKJb92dXUlPT2d4uJiEhIS0NTUxN3d/W/Hb9asmfxvCwsLatSooUhILCws5Gv3AOnp6QwYMAB7e3uMjIywtbUFIDMz84X6rWgcV1dX+d9aWlq0bt2a1NRUuezo0aP4+PhUqM/k5GQ+/PBD/P396dq1a5ltwsLCmDVrFpGRkc98tkl+fj66urqK383/UkBAAFevXiUpKYnevXszb948OnfujLa2NnPnziUmJoYRI0bg5eWl2E5fXx+1Wk1hYeFLGacgvO5EMiG8dvT19SsdQ1tbW/63SqVSvC4pe/rSQ48ePbh79y7r1q3jzJkznDlzBngyXf8i/qk4FZWSkkKnTp0YNWoUM2bMKLNNREQEI0aMIDIyUnHZoSympqbk5eUpxlsyE3P79m1F29u3b5c7S2NqaoqmpuYLbXP58mW2bNnCnDlziI6O5p133sHMzIx+/fpx4cIF/vzzT7nt3bt3MTAw+Ef+XxEEQSQTQhVVcpItcfr0aRo0aICmpiZNmzZFrVa/8KLEv+uPP/4gLS2NGTNm0KlTJ5ydncnJyVG00dHRAZ4sUKxMnBKnT5+W//348WPi4uJwdnZ+oXFfunQJDw8PBg8ezDfffFNmm/DwcIYOHUp4eDjvv//+c2OW3PsiJSVFLrOzs8PS0pKjR4/KZQ8ePODMmTOKGZan6ejo0KpVK8U2arWao0ePlrmNJEl8/vnnLFmyhJo1a1JcXExRURGA/N+nj31ycjIuLi7P3R9BECpGJBNClZSZmYmvry9paWmEh4cTFBTE+PHjgSeLDwcPHsywYcPYvXs3GRkZREdHExkZ+T8Zi4mJCXXq1GHt2rVcvXqVY8eO4evrq2hjbm6Ovr4+Bw8e5Pbt29y/f/9vxSmxYsUKdu3axeXLlxk7diw5OTkMGzZMru/UqZPia55/lZycjIeHB127dsXX15esrCyysrL4/fff5TZhYWF4eXmxePFi2rVrJ7cpa+wlzMzMaNmyJTExMXKZSqXiyy+/ZO7cuezdu5ekpCS8vLyoW7cuvXr1KnfMvr6+rFu3jk2bNpGamsro0aN5+PAhQ4cOLdXv+vXrMTMzk79F4ubmxrFjxzh9+jRLly6lUaNG1KpVS25/4sSJci/pCILwN0hCtZSfny+lpKRI+fn5r3ooL8zd3V0aM2aM5O3tLRkZGUkmJibStGnTJLVaLbfJz8+XJkyYIFlZWUk6OjqSg4ODtGHDhufGjoqKkgApJydHLgsNDZWMjY0V7fz9/aXmzZvLr48cOSI5OztLurq6UrNmzaTo6GgJkHbt2iW3WbdunWRtbS1paGhI7u7ukiRJ0uDBg6UPP/ywwnEyMjIkQAoLC5Patm0r6ejoSI0aNZKOHTumGJ+NjY3k7+9f7n76+/tLQKkfGxsbuY27u3uZbQYPHvzMY7hy5Uqpffv2ijK1Wi35+flJFhYWkq6urtSpUycpLS3tuWMOCgqS6tWrJ+no6Eht27aVTp8+Xaq/rKwsycbGRvr1118V5bNmzZJq164tNWzYUDpz5oxc/t///lfS1taWfvnll2fuh/BiqvJ7ilB5Kkl66sv5QrVRUFBARkYGdnZ26OnpverhCK+R/Px8nJyc2LZtW7mXMV6lKVOmkJOTw9q1a1/1UF4r4j2lehNfDRUE4R+lr6/P5s2b5btR/tuYm5uXe/lIEIS/R8xMVFPV9VOEt7c3W7ZsKbPu008/ZfXq1S95RILweqiu7ynCEyKZqKaq6x9+dnY2Dx48KLPOyMjomfdQEAShfNX1PUV4QlzmEKoVc3NzkTAIgiD8w8RXQwVBEARBqBSRTAiCIAiCUCkimRAEQRAEoVJEMiEIgiAIQqWIZEIQBEEQhEoRyYRQ5XTs2JEvv/zyVQ/jHzFkyBDF8ymqgqp2/N955x3CwsJe9TBKefToEba2tpw/f/5VD0UQKk18NVQoJSEh4aX2V/KkydfZjRs3sLOzIz4+vsrsb3R0NB4eHuTk5CgekrVz585Sj2T/X9u5cyfffvstV69epaioiAYNGjBx4kQ+++yzZ263d+9ebt++Tf/+/eWygoICJk6cSEREBIWFhXh6erJy5UosLCzKjSNJEv7+/qxbt4579+7h5ubGqlWraNCgAQCFhYWMGDGCPXv2YGlpycqVKxWPa1+0aBGZmZkEBQXJZTo6OkyaNIkpU6Yono4qCFWRmJkQBOGF1K5dG0NDw5fe5/Tp04mNjSUxMZGhQ4cydOhQDh069MztAgMDGTp0KBoa//9WN2HCBPbt28f27ds5fvw4v/32Gx999NEz4yxcuJDAwEBWr17NmTNnMDAwwNPTk4KCAgDWrl1LXFwcsbGxjBo1ioEDB1JyP8CMjAzWrVtX5mPeBw0aRExMDJcuXXrRQyII/yoimRCqpMePH+Pj44OxsTGmpqb4+fnx9M1cCwsLmTJlCtbW1ujq6uLg4EBISMhz40ZHR6NSqTh06BAuLi7o6+vz7rvvkp2dzU8//YSzszNGRkYMHDiQvLw8ebuDBw/SoUMHatWqRZ06dfjggw+4du2aXG9nZweAi4sLKpWKjh07Kvr97rvvsLKyok6dOowdO5aioiLFvkyaNIk33ngDAwMD2rVrR3R0tFy/ceNGatWqxY8//oiTkxM1atSgT58+5OXlsWnTJmxtbTExMWHcuHEUFxfL233//fe0bt0aQ0NDLC0tGThwINnZ2cCTmRQPDw/gyaPRVSoVQ4YMAUpf5njWsS4uLmb48OHY2dmhr6+Pk5MTy5cvf+7v4a86duxI7969cXZ2pn79+owfP55mzZopHnX+V7///jvHjh2TH0sOcP/+fUJCQliyZAnvvvsurVq1IjQ0lFOnTnH69Oky40iSxLJly5gxYwYffvghzZo1Y/Pmzfz222/s3r0bgNTUVHr27Enjxo0ZO3Ysv//+u/xsktGjR7NgwQKMjIxKxTYxMcHNzY2IiIgXPiaC8G8ikgmhStq0aRNaWlqcPXuW5cuXs2TJEtavXy/Xe3l5ER4eTmBgIKmpqaxZs4aaNWtWOH5AQADBwcGcOnWKX375hX79+rFs2TLCwsLYv38/hw8fVkxZP3z4EF9fX86fP8/Ro0fR0NCgd+/eqNVqAM6ePQvAzz//zK1bt9i5c6e8bVRUFNeuXSMqKopNmzaxceNGNm7cKNf7+PgQGxtLREQEiYmJ9O3bl27dupGeni63ycvLIzAwkIiICA4ePEh0dDS9e/fmwIEDHDhwgO+//541a9bwww8/yNsUFRUxZ84cLl68yO7du7lx44acMFhbW7Njxw4A0tLSuHXrVrlJwLOOtVqt5s0332T79u2kpKQwc+ZMpk2bRmRkpLx9SQJ348aNCv1uJEni6NGjpKWl8c4775TbLiYmhho1auDs7CyXxcXFUVRUpLgE0bBhQ+rVq0dsbGyZcTIyMsjKylJsY2xsTLt27eRtmjdvTkxMDPn5+Rw6dAgrKytMTU3ZunUrenp69O7du9xxtm3blhMnTlRo3wXh30qsmRCqJGtra5YuXYpKpcLJyYmkpCSWLl3KyJEjuXLlCpGRkRw5ckQ+Adjb279Q/Llz5+Lm5gbA8OHD+frrr7l27Zocp0+fPkRFRTFlyhQAPv74Y8X2GzZswMzMjJSUFJo0aYKZmRkAderUwdLSUtHWxMSE4OBgNDU1adiwIe+//z5Hjx5l5MiRZGZmEhoaSmZmJnXr1gVg0qRJHDx4kNDQUL799lvgSWKwatUq6tevL4/v+++/5/bt29SsWZNGjRrh4eFBVFQUn3zyCQDDhg2Tx2Bvb09gYCBt2rQhNzeXmjVrUrt2beDJLcifXjPxtOcda21tbWbNmiW/trOzIzY2lsjISPr16wdAjRo1cHJyeu46jPv37/PGG29QWFiIpqYmK1eupEuXLuW2v3nzJhYWFopLHFlZWejo6JTaHwsLC7KyssqMU1L+1zUVT28zbNgwEhMTadSoEaampkRGRpKTk8PMmTOJjo5mxowZREREUL9+fTZs2MAbb7whx6lbty43b9585r4Lwr+dmJkQqqT27dujUqnk166urqSnp1NcXExCQgKampq4u7v/7fjNmjWT/21hYUGNGjUUJ0kLCwv5kgBAeno6AwYMwN7eHiMjI2xtbQHIzMx8bl+NGzdGU1NTfm1lZSXHTkpKori4GEdHR2rWrCn/HD9+XHEZpUaNGnIiUTI+W1tbxWzMX8ccFxdHjx49qFevHoaGhvLxqsiYS1TkWK9YsYJWrVphZmZGzZo1Wbt2raKPtm3bcvnyZcUJtiyGhoYkJCRw7tw5vvnmG3x9fRWXe/4qPz//pT1wSltbmxUrVpCRkcG5c+fo0KEDEydOZNy4ccTHx7N7924uXrxI+/btGTdunGJbfX19xSUzQaiKxMyE8NrR19evdIynPyWrVKpSn5pVKpV8CQOgR48e2NjYsG7dOurWrYtaraZJkyY8evTohfr6a+zc3Fw0NTWJi4tTJByAIlEoK8az4j58+BBPT088PT3ZunUrZmZmZGZm4unpWaExl3jesY6IiGDSpEksXrwYV1dXDA0NWbRoEWfOnKlwHyU0NDRwcHAAnnwDKDU1lXnz5pVaf1LC1NSUnJwcRZmlpSWPHj3i3r17itmJ27dvl5oxenqbkjZWVlaKbcr7Zk5UVBSXLl1i/fr1TJ48me7du2NgYEC/fv0IDg5WtL179648cyUIVZWYmRCqpL+ejE6fPk2DBg3Q1NSkadOmqNVqjh8//lLG8scff5CWlsaMGTPo1KkTzs7OpU5iOjo6AIoFkBXh4uJCcXEx2dnZODg4KH7KO/lVxOXLl/njjz+YP38+b7/9Ng0bNlTMWlR0zM871idPnuStt95izJgxuLi44ODgoJhRqQy1Wk1hYWG59S4uLmRlZSl+F61atUJbW1vxVcy0tDQyMzNxdXUtM46dnR2WlpaKbR48eMCZM2fK3KagoICxY8eyZs0aNDU1KS4ulhfUFhUVlTqeycnJuLi4VGynBeFfSiQTQpWUmZmJr68vaWlphIeHExQUxPjx4wGwtbVl8ODBDBs2jN27d5ORkUF0dLRi0d8/ycTEhDp16rB27VquXr3KsWPH8PX1VbQxNzdHX1+fgwcPcvv2be7fv1+h2I6OjgwaNAgvLy927txJRkYGZ8+eZd68eezfv/9vj7levXro6OgQFBTE9evX2bt3L3PmzFG0sbGxQaVS8eOPP/L777+Tm5tbKs7zjnWDBg04f/48hw4d4sqVK/j5+XHu3DlFjLNnz9KwYUN+/fXXcsc7b948jhw5wvXr10lNTWXx4sV8//33fPrpp+Vu4+LigqmpKSdPnpTLjI2NGT58OL6+vkRFRREXF8fQoUNxdXWlffv2cruGDRuya9cu4MmMzpdffsncuXPZu3cvSUlJeHl5Ubdu3TJvODZnzhy6d+8uJwhubm7s3LmTxMREgoOD5bU4JU6cOEHXrl3L3Q9BqBIkoVrKz8+XUlJSpPz8/Fc9lBfm7u4ujRkzRvL29paMjIwkExMTadq0aZJarZbb5OfnSxMmTJCsrKwkHR0dycHBQdqwYcNzY0dFRUmAlJOTI5eFhoZKxsbGinb+/v5S8+bN5ddHjhyRnJ2dJV1dXalZs2ZSdHS0BEi7du2S26xbt06ytraWNDQ0JHd3d0mSJGnw4MHShx9+qIg9fvx4uV6SJOnRo0fSzJkzJVtbW0lbW1uysrKSevfuLSUmJlZ4fGX1FRYWJtna2kq6urqSq6urtHfvXgmQ4uPj5TazZ8+WLC0tJZVKJQ0ePFiSpCfHf/z48XKbZx3rgoICaciQIZKxsbFUq1YtafTo0dLUqVMVYys55hkZGVJ5pk+fLjk4OEh6enqSiYmJ5OrqKkVERJTbvsRXX30l9e/fX1GWn58vjRkzRjIxMZFq1Kgh9e7dW7p165aiDSCFhobKr9VqteTn5ydZWFhIurq6UqdOnaS0tLRS/SUlJUkODg5Sbm6uXFZcXCyNHj1aMjIyktq0aSOlp6fLdadOnZJq1aol5eXlPXdf/u2q8nuKUHkqSXrqy/lCtVFQUEBGRgZ2dnYvbZGaILxsWVlZNG7cmAsXLmBjY/Oqh1PKJ598QvPmzZk2bdqrHkqlifeU6k1c5hAE4bVlaWlJSEjIC31D5WV59OgRTZs2ZcKECa96KIJQaWJmopqqrp8ivL292bJlS5l1n376KatXr37JIxKE10N1fU8RnhDJRDVVXf/ws7OzefDgQZl1RkZGmJubv+QRCcLrobq+pwhPiPtMCNWKubm5SBgEQRD+YWLNRDUnJqYEQfgniPeS6k0kE9VUyd0RxW18BUH4J5S8lzzvGSvC60lc5qimNDU1qVWrlnzXwxo1aiiedSEIglARkiSRl5dHdnY2tWrVKnXbd6F6EAswqzFJksjKyuLevXuveiiCIFRxtWrVwtLSUnwoqaZEMiEonh0gCILworS1tcWMRDUnkglBEARBECpFLMAUBEEQBKFSRDIhCIIgCEKliGRCEARBEIRKEcmEIAiCIAiVIpIJQRAEQRAqRSQTgiAIgiBUikgmBEEQBEGolP8DiH9HW9UDLwEAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipping visualization for column type 'Account' in DataFrame.\n", + "Skipping visualization for column type 'User' in DataFrame.\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipping visualization for column type 'SubmitTime' in DataFrame.\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipping visualization for column type 'CPUs' in DataFrame.\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipping visualization for column type 'GPUComputeUsage' in DataFrame.\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skipping visualization for column type 'CPUComputeUsage' in DataFrame.\n", + "Skipping visualization for column type 'Queued' in DataFrame.\n", + "Skipping visualization for column type 'vram_constraint' in DataFrame.\n", + "Skipping visualization for column type 'partition_constraint' in DataFrame.\n", + "Skipping visualization for column type 'requested_vram' in DataFrame.\n", + "Skipping visualization for column type 'allocated_vram' in DataFrame.\n" + ] + } + ], + "source": [ + "visualizer.visualize(\n", + " output_dir_path=Path(Path(project_root) / \"data/visualizations\"),\n", + " columns=None,\n", + ")" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/module_demos/Efficiency Analysis.ipynb b/notebooks/module_demos/Efficiency Analysis.ipynb new file mode 100644 index 0000000..aef0520 --- /dev/null +++ b/notebooks/module_demos/Efficiency Analysis.ipynb @@ -0,0 +1,5462 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# [Efficiency Analysis](#toc0_)\n", + "\n", + "\n", + "This notebook demonstrates the use of `EfficiencyAnalysis` class in `src/analysis/efficiency_analysis.py` for analyzing the efficiency of jobs, users, and PI groups." + ] + }, + { + "cell_type": "markdown", + "id": "1", + "metadata": {}, + "source": [ + "**Table of contents** \n", + "- [Efficiency Analysis](#toc1_) \n", + " - [Setup](#toc1_1_) \n", + " - [Example: Analyze Workload Efficiency Across Jobs that Use some VRAM](#toc1_2_) \n", + " - [Job Efficiency Metrics](#toc1_2_1_) \n", + " - [Find most inefficient jobs with no VRAM constraints based on `alloc_vram_efficiency`](#toc1_2_1_1_) \n", + " - [User Efficiency Metrics](#toc1_2_2_) \n", + " - [Find Inefficient Users based on `expected_value_alloc_vram_efficiency`](#toc1_2_2_1_) \n", + " - [Distribution of `expected_value_requested_vram_efficiency`](#toc1_2_2_2_) \n", + " - [Find Users with Highest `vram_hours`](#toc1_2_2_3_) \n", + " - [PI Group Efficiency Metrics](#toc1_2_3_) \n", + " - [Find PIs with Highest `vram_hours`](#toc1_2_3_1_) \n", + " - [Example: Analyze all jobs with no VRAM constraints](#toc1_3_) \n", + " - [Job Efficiency Metrics](#toc1_3_1_) \n", + " - [Top users with most number of jobs that have no VRAM constraints](#toc1_3_2_) \n", + " - [Find inefficient jobs with no VRAM Constraints based on `alloc_vram_efficiency_score`](#toc1_3_3_) \n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "## [Setup](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": {}, + "outputs": [], + "source": [ + "# Import required modules\n", + "import sys\n", + "from pathlib import Path\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "markdown", + "id": "4", + "metadata": {}, + "source": [ + "Jupyter server should be run at the notebook directory, so the output of the following cell would be the project root:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Project root: ds4cg-job-analytics\n" + ] + } + ], + "source": [ + "project_root = Path.cwd().resolve().parent.parent\n", + "print(f\"Project root: {project_root.name}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6", + "metadata": {}, + "outputs": [], + "source": [ + "# Automatically reload modules before executing code (set this up BEFORE imports)\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "# Add project root to sys.path for module imports\n", + "if str(project_root) not in sys.path:\n", + " sys.path.insert(0, str(project_root))\n", + "\n", + "from src.analysis import efficiency_analysis as ea\n", + "from src.utilities import load_and_preprocess_jobs\n", + "from src.visualization import (\n", + " JobsWithMetricsVisualizer,\n", + " UsersWithMetricsVisualizer,\n", + " PIGroupsWithMetricsVisualizer,\n", + ")\n", + "from src.config.enum_constants import MetricsDataFrameNameEnum\n", + "from src.config.paths import (\n", + " DATA_DIR,\n", + " JOBS_VISUALIZATION_DATA_DIR,\n", + " USERS_VISUALIZATION_DATA_DIR,\n", + " PI_GROUPS_VISUALIZATION_DATA_DIR,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connected to slurm_data.db\n", + "[Preprocessing] Running with new database format: GPU types as dictionary.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "UserWarning: 6545 duplicate JobIDs detected. Keeping only the latest entry for each JobID.\n", + " processed_data = Preprocess().preprocess_data(jobs_df, apply_filter=False, anonymize=anonymize)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 42 records with errors. Reporting them to a summary file preprocessing_errors.log.\n", + "Processing error log file already exists. Overwriting preprocessing_errors.log\n", + "Disconnected from slurm_data.db\n" + ] + }, + { + "data": { + "text/html": [ + "
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10 rows × 31 columns

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" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName IsArray Interactive \\\n", + "482648 41012953 -1 job.sh False non-interactive \n", + "482647 41012951 -1 job.sh False non-interactive \n", + "482646 41012949 -1 job.sh False non-interactive \n", + "482645 41012881 -1 job.sh False non-interactive \n", + "482644 41012877 -1 job.sh False non-interactive \n", + "482643 41012873 -1 job.sh False non-interactive \n", + "482642 41012869 -1 job.sh False non-interactive \n", + "482641 41012867 -1 job.sh False non-interactive \n", + "482640 41012866 -1 job.sh False non-interactive \n", + "482639 41012864 -1 job.sh False non-interactive \n", + "\n", + " Account User Constraints QOS ... GPUType \\\n", + "482648 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "482647 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "482646 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "482645 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "482644 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "482643 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "482642 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "482641 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "482640 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "482639 account_98 user_732 ['2080ti'] normal ... {'2080_ti': 1} \n", + "\n", + " GPUMemUsage GPUComputeUsage CPUMemUsage CPUComputeUsage \\\n", + "482648 0.0 0.0 176635904.0 99.950012 \n", + "482647 0.0 0.0 172380160.0 99.964767 \n", + "482646 0.0 0.0 171646976.0 99.970505 \n", + "482645 0.0 0.0 171102208.0 99.945618 \n", + "482644 0.0 0.0 171216896.0 99.963730 \n", + "482643 0.0 0.0 184594432.0 99.952988 \n", + "482642 0.0 0.0 160063488.0 99.963593 \n", + "482641 0.0 0.0 171073536.0 99.922615 \n", + "482640 0.0 0.0 172363776.0 99.959511 \n", + "482639 0.0 0.0 173252608.0 99.921066 \n", + "\n", + " Queued vram_constraint partition_constraint requested_vram \\\n", + "482648 0 days 00:35:47 11 11 \n", + "482647 0 days 00:36:02 11 11 \n", + "482646 0 days 00:37:20 11 11 \n", + "482645 0 days 00:36:56 11 11 \n", + "482644 0 days 00:36:48 11 11 \n", + "482643 0 days 00:33:03 11 11 \n", + "482642 0 days 00:34:07 11 11 \n", + "482641 0 days 00:32:46 11 11 \n", + "482640 0 days 00:32:19 11 11 \n", + "482639 0 days 00:33:00 11 11 \n", + "\n", + " allocated_vram \n", + "482648 11 \n", + "482647 11 \n", + "482646 11 \n", + "482645 11 \n", + "482644 11 \n", + "482643 11 \n", + "482642 11 \n", + "482641 11 \n", + "482640 11 \n", + "482639 11 \n", + "\n", + "[10 rows x 31 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(660508, 31)\n" + ] + } + ], + "source": [ + "# Load the jobs DataFrame from DuckDB\n", + "preprocessed_jobs_df = load_and_preprocess_jobs(\n", + " db_path=Path(DATA_DIR) / \"slurm_data.db\", table_name=\"Jobs\", anonymize=True\n", + ")\n", + "display(preprocessed_jobs_df.head(10))\n", + "print(preprocessed_jobs_df.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "8", + "metadata": {}, + "source": [ + "## [Example: Analyze Workload Efficiency Across Jobs that Use some VRAM](#toc0_)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9", + "metadata": {}, + "outputs": [], + "source": [ + "efficiency_analysis = ea.EfficiencyAnalysis(\n", + " jobs_df=preprocessed_jobs_df, metrics_df_name_enum=MetricsDataFrameNameEnum\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "10", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOS...GPUTypeGPUMemUsageGPUComputeUsageCPUMemUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vram
48263641012771410127680sbatchTruenon-interactiveaccount_279user_973['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90']normal...{'2080_ti': 1}4.404019e+0892.01.075294e+0912.5414770 days 00:00:23<NA><NA><NA>11
482627410008024100061522census_paper_kappa_betaTruenon-interactiveaccount_219user_57[]normal...{'a16': 1}1.048576e+0888.01.533571e+0939.2996060 days 00:02:28<NA><NA><NA>16
482623410007974100061521census_paper_kappa_betaTruenon-interactiveaccount_219user_57[]normal...{'a16': 1}1.048576e+0887.01.508696e+0940.0321540 days 00:02:08<NA><NA><NA>16
482591410007754100061518census_paper_kappa_betaTruenon-interactiveaccount_219user_57[]normal...{'a16': 1}1.048576e+0883.01.275314e+0938.2117920 days 00:02:28<NA><NA><NA>16
48258341012510410125090sbatchTruenon-interactiveaccount_279user_973['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90']normal...{'2080_ti': 1}4.424991e+0893.01.112781e+0912.5694670 days 00:00:04<NA><NA><NA>11
..................................................................
27371223988975<NA>-1simQuad.shFalsenon-interactiveaccount_63user_604['gpu:a100']normal...{'a100': 1}1.388105e+1098.05.944361e+0819.7900090 days 00:00:0280808080
26709123946071<NA>-1sbatchFalsenon-interactiveaccount_21user_901['vram40']normal...{'rtx_8000': 1}1.913022e+1082.01.739481e+1049.9815640 days 00:02:1040<NA>4048
26727823946070<NA>-1sbatchFalsenon-interactiveaccount_21user_901['vram40']normal...{'rtx_8000': 1}1.913022e+1082.01.402193e+1049.9770930 days 00:00:0740<NA>4048
26727723946069<NA>-1sbatchFalsenon-interactiveaccount_21user_901['vram40']normal...{'rtx_8000': 1}1.915119e+1081.01.742611e+1049.9615250 days 00:00:1040<NA>4048
21688623864844<NA>-1bashFalseshellaccount_13user_43[]normal...{'a40': 1}4.071621e+10100.01.122027e+101.3173820 days 00:00:00<NA>484848
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463863 rows × 31 columns

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" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName IsArray \\\n", + "482636 41012771 41012768 0 sbatch True \n", + "482627 41000802 41000615 22 census_paper_kappa_beta True \n", + "482623 41000797 41000615 21 census_paper_kappa_beta True \n", + "482591 41000775 41000615 18 census_paper_kappa_beta True \n", + "482583 41012510 41012509 0 sbatch True \n", + "... ... ... ... ... ... \n", + "273712 23988975 -1 simQuad.sh False \n", + "267091 23946071 -1 sbatch False \n", + "267278 23946070 -1 sbatch False \n", + "267277 23946069 -1 sbatch False \n", + "216886 23864844 -1 bash False \n", + "\n", + " Interactive Account User \\\n", + "482636 non-interactive account_279 user_973 \n", + "482627 non-interactive account_219 user_57 \n", + "482623 non-interactive account_219 user_57 \n", + "482591 non-interactive account_219 user_57 \n", + "482583 non-interactive account_279 user_973 \n", + "... ... ... ... \n", + "273712 non-interactive account_63 user_604 \n", + "267091 non-interactive account_21 user_901 \n", + "267278 non-interactive account_21 user_901 \n", + "267277 non-interactive account_21 user_901 \n", + "216886 shell account_13 user_43 \n", + "\n", + " Constraints QOS ... \\\n", + "482636 ['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90'] normal ... \n", + "482627 [] normal ... \n", + "482623 [] normal ... \n", + "482591 [] normal ... \n", + "482583 ['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90'] normal ... \n", + "... ... ... ... \n", + "273712 ['gpu:a100'] normal ... \n", + "267091 ['vram40'] normal ... \n", + "267278 ['vram40'] normal ... \n", + "267277 ['vram40'] normal ... \n", + "216886 [] normal ... \n", + "\n", + " GPUType GPUMemUsage GPUComputeUsage CPUMemUsage \\\n", + "482636 {'2080_ti': 1} 4.404019e+08 92.0 1.075294e+09 \n", + "482627 {'a16': 1} 1.048576e+08 88.0 1.533571e+09 \n", + "482623 {'a16': 1} 1.048576e+08 87.0 1.508696e+09 \n", + "482591 {'a16': 1} 1.048576e+08 83.0 1.275314e+09 \n", + "482583 {'2080_ti': 1} 4.424991e+08 93.0 1.112781e+09 \n", + "... ... ... ... ... \n", + "273712 {'a100': 1} 1.388105e+10 98.0 5.944361e+08 \n", + "267091 {'rtx_8000': 1} 1.913022e+10 82.0 1.739481e+10 \n", + "267278 {'rtx_8000': 1} 1.913022e+10 82.0 1.402193e+10 \n", + "267277 {'rtx_8000': 1} 1.915119e+10 81.0 1.742611e+10 \n", + "216886 {'a40': 1} 4.071621e+10 100.0 1.122027e+10 \n", + "\n", + " CPUComputeUsage Queued vram_constraint partition_constraint \\\n", + "482636 12.541477 0 days 00:00:23 \n", + "482627 39.299606 0 days 00:02:28 \n", + "482623 40.032154 0 days 00:02:08 \n", + "482591 38.211792 0 days 00:02:28 \n", + "482583 12.569467 0 days 00:00:04 \n", + "... ... ... ... ... \n", + "273712 19.790009 0 days 00:00:02 80 80 \n", + "267091 49.981564 0 days 00:02:10 40 \n", + "267278 49.977093 0 days 00:00:07 40 \n", + "267277 49.961525 0 days 00:00:10 40 \n", + "216886 1.317382 0 days 00:00:00 48 \n", + "\n", + " requested_vram allocated_vram \n", + "482636 11 \n", + "482627 16 \n", + "482623 16 \n", + "482591 16 \n", + "482583 11 \n", + "... ... ... \n", + "273712 80 80 \n", + "267091 40 48 \n", + "267278 40 48 \n", + "267277 40 48 \n", + "216886 48 48 \n", + "\n", + "[463863 rows x 31 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "filtered_jobs = efficiency_analysis.filter_jobs_for_analysis(\n", + " gpu_mem_usage_filter={\"min\": 0, \"inclusive\": False}, elapsed_seconds_min=600\n", + ")\n", + "filtered_jobs" + ] + }, + { + "cell_type": "markdown", + "id": "11", + "metadata": {}, + "source": [ + "Generate all metrics:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12", + "metadata": {}, + "outputs": [], + "source": [ + "metrics_dict = efficiency_analysis.calculate_all_efficiency_metrics(filtered_jobs)\n", + "\n", + "jobs_with_metrics = metrics_dict[\"jobs_with_efficiency_metrics\"]\n", + "users_with_metrics = metrics_dict[\"users_with_efficiency_metrics\"]\n", + "pi_accounts_with_metrics = metrics_dict[\"pi_accounts_with_efficiency_metrics\"]" + ] + }, + { + "cell_type": "markdown", + "id": "13", + "metadata": {}, + "source": [ + "### [Job Efficiency Metrics](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "14", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOSStatusExitCodeSubmitTimeStartTimeElapsedTimeLimitPartitionNodeListgpu_countGPUTypeGPUMemUsageGPUComputeUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vramjob_hoursvram_hoursused_vram_giballoc_vram_efficiencyrequested_vram_efficiencyalloc_vram_efficiency_scorerequested_vram_efficiency_scoreused_cpu_mem_giballocated_cpu_mem_gibcpu_mem_efficiencycpu_core_count
48263641012771410127680sbatchTruenon-interactiveaccount_279user_973['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90']normalCOMPLETEDSUCCESS2025-08-13 06:45:102025-08-13 06:45:330 days 00:29:392 days 00:00:00gpu[gypsum-gpu162]1{'2080_ti': 1}4.404019e+0892.012.5414770 days 00:00:23<NA><NA><NA>110.4941675.4358330.4101560.037287<NA>-17.879067<NA>1.001446128.00.0078248
482627410008024100061522census_paper_kappa_betaTruenon-interactiveaccount_219user_57[]normalCOMPLETEDSUCCESS2025-08-13 06:32:582025-08-13 06:35:260 days 00:51:360 days 10:00:00gpu-preempt[gpu049]1{'a16': 1}1.048576e+0888.039.2996060 days 00:02:28<NA><NA><NA>160.8613.760.0976560.006104<NA>-70.160731<NA>1.428249200.00.00714120
482623410007974100061521census_paper_kappa_betaTruenon-interactiveaccount_219user_57[]normalCOMPLETEDSUCCESS2025-08-13 06:18:042025-08-13 06:20:120 days 00:52:490 days 10:00:00gpu-preempt[gpu048]1{'a16': 1}1.048576e+0887.040.0321540 days 00:02:08<NA><NA><NA>160.88027814.0844440.0976560.006104<NA>-71.815038<NA>1.405083200.00.00702520
482591410007754100061518census_paper_kappa_betaTruenon-interactiveaccount_219user_57[]normalCOMPLETEDSUCCESS2025-08-13 05:55:572025-08-13 05:58:250 days 00:51:570 days 10:00:00gpu-preempt[gpu048]1{'a16': 1}1.048576e+0883.038.2117920 days 00:02:28<NA><NA><NA>160.86583313.8533330.0976560.006104<NA>-70.636628<NA>1.187729200.00.00593920
48258341012510410125090sbatchTruenon-interactiveaccount_279user_973['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90']normalCOMPLETEDSUCCESS2025-08-13 05:54:182025-08-13 05:54:220 days 00:43:202 days 00:00:00gpu[gypsum-gpu191]1{'2080_ti': 1}4.424991e+0893.012.5694670 days 00:00:04<NA><NA><NA>110.7222227.9444440.4121090.037464<NA>-26.09243<NA>1.036358128.00.0080978
48256641012486<NA>-1interactiveFalseshellaccount_177user_211['sm_80', 'vram80']shortCOMPLETEDSUCCESS2025-08-13 05:48:442025-08-13 05:48:450 days 00:31:510 days 01:00:00gpu[uri-gpu009]1{'h100': 1}2.090231e+1095.03.8479680 days 00:00:0180<NA>80800.53083342.46666719.4667970.2433350.243335-60.018834-60.01883423.69865040.00.59246612
48254641012428410124260sbatchTruenon-interactiveaccount_279user_973['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90']normalCOMPLETEDSUCCESS2025-08-13 05:40:492025-08-13 05:41:090 days 00:13:152 days 00:00:00gpu[gypsum-gpu164]1{'2080_ti': 1}4.362076e+0893.012.6777050 days 00:00:20<NA><NA><NA>110.2208332.4291670.4062500.036932<NA>-8.013048<NA>1.000870128.00.0078198
48253741012392410123910sbatchTruenon-interactiveaccount_279user_973['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90']normalCOMPLETEDSUCCESS2025-08-13 05:36:292025-08-13 05:36:350 days 00:45:492 days 00:00:00gpu[gypsum-gpu162]1{'2080_ti': 1}4.424991e+0892.012.5196440 days 00:00:06<NA><NA><NA>110.7636118.3997220.4121090.037464<NA>-27.587726<NA>1.026287128.00.0080188
48250241011721<NA>-1train_eval_gsm8k_Llama70b_assess-128_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu025]1{'l40s': 1}4.512652e+1091.021.4348950 days 00:00:1848<NA>48483.003611144.17333342.0273440.8755700.87557-19.157834-19.15783429.96978430.00.9989932
48250541011724<NA>-1train_eval_gsm8k_Llama70b_assess-512_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.504682e+1097.023.7478960 days 00:00:1848<NA>48483.003611144.17333341.9531250.8740230.874023-19.412664-19.41266429.96971530.00.9989912
\n", + "
" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID \\\n", + "482636 41012771 41012768 0 \n", + "482627 41000802 41000615 22 \n", + "482623 41000797 41000615 21 \n", + "482591 41000775 41000615 18 \n", + "482583 41012510 41012509 0 \n", + "482566 41012486 -1 \n", + "482546 41012428 41012426 0 \n", + "482537 41012392 41012391 0 \n", + "482502 41011721 -1 \n", + "482505 41011724 -1 \n", + "\n", + " JobName IsArray \\\n", + "482636 sbatch True \n", + "482627 census_paper_kappa_beta True \n", + "482623 census_paper_kappa_beta True \n", + "482591 census_paper_kappa_beta True \n", + "482583 sbatch True \n", + "482566 interactive False \n", + "482546 sbatch True \n", + "482537 sbatch True \n", + "482502 train_eval_gsm8k_Llama70b_assess-128_assess_sft False \n", + "482505 train_eval_gsm8k_Llama70b_assess-512_assess_sft False \n", + "\n", + " Interactive Account User \\\n", + "482636 non-interactive account_279 user_973 \n", + "482627 non-interactive account_219 user_57 \n", + "482623 non-interactive account_219 user_57 \n", + "482591 non-interactive account_219 user_57 \n", + "482583 non-interactive account_279 user_973 \n", + "482566 shell account_177 user_211 \n", + "482546 non-interactive account_279 user_973 \n", + "482537 non-interactive account_279 user_973 \n", + "482502 non-interactive account_177 user_437 \n", + "482505 non-interactive account_177 user_437 \n", + "\n", + " Constraints QOS Status \\\n", + "482636 ['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90'] normal COMPLETED \n", + "482627 [] normal COMPLETED \n", + "482623 [] normal COMPLETED \n", + "482591 [] normal COMPLETED \n", + "482583 ['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90'] normal COMPLETED \n", + "482566 ['sm_80', 'vram80'] short COMPLETED \n", + "482546 ['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90'] normal COMPLETED \n", + "482537 ['sm_70', 'sm_80', 'sm_86', 'sm_89', 'sm_90'] normal COMPLETED \n", + "482502 ['l40s'] normal TIMEOUT \n", + "482505 ['l40s'] normal TIMEOUT \n", + "\n", + " ExitCode SubmitTime StartTime Elapsed \\\n", + "482636 SUCCESS 2025-08-13 06:45:10 2025-08-13 06:45:33 0 days 00:29:39 \n", + "482627 SUCCESS 2025-08-13 06:32:58 2025-08-13 06:35:26 0 days 00:51:36 \n", + "482623 SUCCESS 2025-08-13 06:18:04 2025-08-13 06:20:12 0 days 00:52:49 \n", + "482591 SUCCESS 2025-08-13 05:55:57 2025-08-13 05:58:25 0 days 00:51:57 \n", + "482583 SUCCESS 2025-08-13 05:54:18 2025-08-13 05:54:22 0 days 00:43:20 \n", + "482566 SUCCESS 2025-08-13 05:48:44 2025-08-13 05:48:45 0 days 00:31:51 \n", + "482546 SUCCESS 2025-08-13 05:40:49 2025-08-13 05:41:09 0 days 00:13:15 \n", + "482537 SUCCESS 2025-08-13 05:36:29 2025-08-13 05:36:35 0 days 00:45:49 \n", + "482502 SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 0 days 03:00:13 \n", + "482505 SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 0 days 03:00:13 \n", + "\n", + " TimeLimit Partition NodeList gpu_count \\\n", + "482636 2 days 00:00:00 gpu [gypsum-gpu162] 1 \n", + "482627 0 days 10:00:00 gpu-preempt [gpu049] 1 \n", + "482623 0 days 10:00:00 gpu-preempt [gpu048] 1 \n", + "482591 0 days 10:00:00 gpu-preempt [gpu048] 1 \n", + "482583 2 days 00:00:00 gpu [gypsum-gpu191] 1 \n", + "482566 0 days 01:00:00 gpu [uri-gpu009] 1 \n", + "482546 2 days 00:00:00 gpu [gypsum-gpu164] 1 \n", + "482537 2 days 00:00:00 gpu [gypsum-gpu162] 1 \n", + "482502 0 days 03:00:00 gpu [gpu025] 1 \n", + "482505 0 days 03:00:00 gpu [gpu026] 1 \n", + "\n", + " GPUType GPUMemUsage GPUComputeUsage CPUComputeUsage \\\n", + "482636 {'2080_ti': 1} 4.404019e+08 92.0 12.541477 \n", + "482627 {'a16': 1} 1.048576e+08 88.0 39.299606 \n", + "482623 {'a16': 1} 1.048576e+08 87.0 40.032154 \n", + "482591 {'a16': 1} 1.048576e+08 83.0 38.211792 \n", + "482583 {'2080_ti': 1} 4.424991e+08 93.0 12.569467 \n", + "482566 {'h100': 1} 2.090231e+10 95.0 3.847968 \n", + "482546 {'2080_ti': 1} 4.362076e+08 93.0 12.677705 \n", + "482537 {'2080_ti': 1} 4.424991e+08 92.0 12.519644 \n", + "482502 {'l40s': 1} 4.512652e+10 91.0 21.434895 \n", + "482505 {'l40s': 1} 4.504682e+10 97.0 23.747896 \n", + "\n", + " Queued vram_constraint partition_constraint requested_vram \\\n", + "482636 0 days 00:00:23 \n", + "482627 0 days 00:02:28 \n", + "482623 0 days 00:02:08 \n", + "482591 0 days 00:02:28 \n", + "482583 0 days 00:00:04 \n", + "482566 0 days 00:00:01 80 80 \n", + "482546 0 days 00:00:20 \n", + "482537 0 days 00:00:06 \n", + "482502 0 days 00:00:18 48 48 \n", + "482505 0 days 00:00:18 48 48 \n", + "\n", + " allocated_vram job_hours vram_hours used_vram_gib \\\n", + "482636 11 0.494167 5.435833 0.410156 \n", + "482627 16 0.86 13.76 0.097656 \n", + "482623 16 0.880278 14.084444 0.097656 \n", + "482591 16 0.865833 13.853333 0.097656 \n", + "482583 11 0.722222 7.944444 0.412109 \n", + "482566 80 0.530833 42.466667 19.466797 \n", + "482546 11 0.220833 2.429167 0.406250 \n", + "482537 11 0.763611 8.399722 0.412109 \n", + "482502 48 3.003611 144.173333 42.027344 \n", + "482505 48 3.003611 144.173333 41.953125 \n", + "\n", + " alloc_vram_efficiency requested_vram_efficiency \\\n", + "482636 0.037287 \n", + "482627 0.006104 \n", + "482623 0.006104 \n", + "482591 0.006104 \n", + "482583 0.037464 \n", + "482566 0.243335 0.243335 \n", + "482546 0.036932 \n", + "482537 0.037464 \n", + "482502 0.875570 0.87557 \n", + "482505 0.874023 0.874023 \n", + "\n", + " alloc_vram_efficiency_score requested_vram_efficiency_score \\\n", + "482636 -17.879067 \n", + "482627 -70.160731 \n", + "482623 -71.815038 \n", + "482591 -70.636628 \n", + "482583 -26.09243 \n", + "482566 -60.018834 -60.018834 \n", + "482546 -8.013048 \n", + "482537 -27.587726 \n", + "482502 -19.157834 -19.157834 \n", + "482505 -19.412664 -19.412664 \n", + "\n", + " used_cpu_mem_gib allocated_cpu_mem_gib cpu_mem_efficiency \\\n", + "482636 1.001446 128.0 0.007824 \n", + "482627 1.428249 200.0 0.007141 \n", + "482623 1.405083 200.0 0.007025 \n", + "482591 1.187729 200.0 0.005939 \n", + "482583 1.036358 128.0 0.008097 \n", + "482566 23.698650 40.0 0.592466 \n", + "482546 1.000870 128.0 0.007819 \n", + "482537 1.026287 128.0 0.008018 \n", + "482502 29.969784 30.0 0.998993 \n", + "482505 29.969715 30.0 0.998991 \n", + "\n", + " cpu_core_count \n", + "482636 8 \n", + "482627 20 \n", + "482623 20 \n", + "482591 20 \n", + "482583 8 \n", + "482566 12 \n", + "482546 8 \n", + "482537 8 \n", + "482502 2 \n", + "482505 2 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jobs found: 463863\n" + ] + } + ], + "source": [ + "# Set option to display all columns\n", + "pd.set_option(\"display.max_columns\", None)\n", + "# Display the DataFrame\n", + "display(jobs_with_metrics.head(10))\n", + "# To revert to default settings (optional)\n", + "pd.reset_option(\"display.max_columns\")\n", + "\n", + "print(f\"Jobs found: {len(jobs_with_metrics)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "15", + "metadata": {}, + "source": [ + "#### [Find most inefficient jobs with no VRAM constraints based on `alloc_vram_efficiency`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "16", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Top inefficient Jobs by Allocated VRAM Efficiency:\n" + ] + }, + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOS...vram_hoursused_vram_giballoc_vram_efficiencyrequested_vram_efficiencyalloc_vram_efficiency_scorerequested_vram_efficiency_scoreused_cpu_mem_giballocated_cpu_mem_gibcpu_mem_efficiencycpu_core_count
16260838558388<NA>-1sys/dashboard/sys/bc_jupyterFalsebc_jupyteraccount_07user_313['vram48']normal...384.3733330.0014690.0000310.000031-3995.409713-3995.4097138.98464632.00.2807703
22762738865983<NA>-1sys/dashboard/sys/bc_jupyterFalsebc_jupyteraccount_07user_313['vram48']normal...384.0666670.0029870.0000620.000062-3719.577193-3719.5771938.93181632.00.2791193
22718238867161<NA>-1sys/dashboard/sys/bc_jupyterFalsebc_jupyteraccount_07user_313['vram48']normal...384.2933330.0029870.0000620.000062-3721.772395-3721.7723958.88780232.00.2777443
22832238904435<NA>-1sys/dashboard/sys/bc_jupyterFalsebc_jupyteraccount_07user_313['vram48']normal...384.0933330.0029870.0000620.000062-3719.835452-3719.8354528.94651832.00.2795793
12526838301425<NA>-1sys/dashboard/sys/bc_jupyterFalsebc_jupyteraccount_07user_313['vram48']normal...384.080.0029870.0000620.000062-3719.706322-3719.7063228.91761032.00.2786753
51253030811020<NA>-1interactiveFalseshellaccount_106user_755['gpu:m40']normal...23.1086110.0015790.0000690.000069-221.525559-221.5255593.90684964.00.0610456
51258330814523<NA>-1interactiveFalseshellaccount_106user_755['gpu:m40']normal...23.1086110.0015790.0000690.000069-221.525559-221.5255593.88271764.00.0606676
65130526339347<NA>-1bashFalseshellaccount_50user_416['a100']normal...179.8222220.0136720.0000850.000085-1684.500543-1684.5005431.298977200.00.00649532
37500328602240<NA>-1sys/dashboard/sys/bc_desktopFalsebc_desktopaccount_155user_46['x86_64']normal...92.0447220.0025560.000111<NA>-838.054839<NA>5.99097132.00.1872184
46456925831431<NA>-1sys/dashboard/sys/bc_desktopFalsebc_desktopaccount_117user_935['x86_64', 'gpu:l40s']normal...1785.00.0067330.0001400.00014-15836.420561-15836.42056163.94983764.00.9992168
\n", + "

10 rows × 39 columns

\n", + "
" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName IsArray \\\n", + "162608 38558388 -1 sys/dashboard/sys/bc_jupyter False \n", + "227627 38865983 -1 sys/dashboard/sys/bc_jupyter False \n", + "227182 38867161 -1 sys/dashboard/sys/bc_jupyter False \n", + "228322 38904435 -1 sys/dashboard/sys/bc_jupyter False \n", + "125268 38301425 -1 sys/dashboard/sys/bc_jupyter False \n", + "512530 30811020 -1 interactive False \n", + "512583 30814523 -1 interactive False \n", + "651305 26339347 -1 bash False \n", + "375003 28602240 -1 sys/dashboard/sys/bc_desktop False \n", + "464569 25831431 -1 sys/dashboard/sys/bc_desktop False \n", + "\n", + " Interactive Account User Constraints QOS \\\n", + "162608 bc_jupyter account_07 user_313 ['vram48'] normal \n", + "227627 bc_jupyter account_07 user_313 ['vram48'] normal \n", + "227182 bc_jupyter account_07 user_313 ['vram48'] normal \n", + "228322 bc_jupyter account_07 user_313 ['vram48'] normal \n", + "125268 bc_jupyter account_07 user_313 ['vram48'] normal \n", + "512530 shell account_106 user_755 ['gpu:m40'] normal \n", + "512583 shell account_106 user_755 ['gpu:m40'] normal \n", + "651305 shell account_50 user_416 ['a100'] normal \n", + "375003 bc_desktop account_155 user_46 ['x86_64'] normal \n", + "464569 bc_desktop account_117 user_935 ['x86_64', 'gpu:l40s'] normal \n", + "\n", + " ... vram_hours used_vram_gib alloc_vram_efficiency \\\n", + "162608 ... 384.373333 0.001469 0.000031 \n", + "227627 ... 384.066667 0.002987 0.000062 \n", + "227182 ... 384.293333 0.002987 0.000062 \n", + "228322 ... 384.093333 0.002987 0.000062 \n", + "125268 ... 384.08 0.002987 0.000062 \n", + "512530 ... 23.108611 0.001579 0.000069 \n", + "512583 ... 23.108611 0.001579 0.000069 \n", + "651305 ... 179.822222 0.013672 0.000085 \n", + "375003 ... 92.044722 0.002556 0.000111 \n", + "464569 ... 1785.0 0.006733 0.000140 \n", + "\n", + " requested_vram_efficiency alloc_vram_efficiency_score \\\n", + "162608 0.000031 -3995.409713 \n", + "227627 0.000062 -3719.577193 \n", + "227182 0.000062 -3721.772395 \n", + "228322 0.000062 -3719.835452 \n", + "125268 0.000062 -3719.706322 \n", + "512530 0.000069 -221.525559 \n", + "512583 0.000069 -221.525559 \n", + "651305 0.000085 -1684.500543 \n", + "375003 -838.054839 \n", + "464569 0.00014 -15836.420561 \n", + "\n", + " requested_vram_efficiency_score used_cpu_mem_gib allocated_cpu_mem_gib \\\n", + "162608 -3995.409713 8.984646 32.0 \n", + "227627 -3719.577193 8.931816 32.0 \n", + "227182 -3721.772395 8.887802 32.0 \n", + "228322 -3719.835452 8.946518 32.0 \n", + "125268 -3719.706322 8.917610 32.0 \n", + "512530 -221.525559 3.906849 64.0 \n", + "512583 -221.525559 3.882717 64.0 \n", + "651305 -1684.500543 1.298977 200.0 \n", + "375003 5.990971 32.0 \n", + "464569 -15836.420561 63.949837 64.0 \n", + "\n", + " cpu_mem_efficiency cpu_core_count \n", + "162608 0.280770 3 \n", + "227627 0.279119 3 \n", + "227182 0.277744 3 \n", + "228322 0.279579 3 \n", + "125268 0.278675 3 \n", + "512530 0.061045 6 \n", + "512583 0.060667 6 \n", + "651305 0.006495 32 \n", + "375003 0.187218 4 \n", + "464569 0.999216 8 \n", + "\n", + "[10 rows x 39 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_jobs_alloc_vram_eff = efficiency_analysis.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=MetricsDataFrameNameEnum.JOBS,\n", + " sorting_key=\"alloc_vram_efficiency\",\n", + " ascending=True, # Sort by alloc_vram_efficiency in ascending order\n", + " filter_criteria={\n", + " # \"alloc_vram_efficiency\": {\"min\": 80 * 24, \"inclusive\": True},\n", + " },\n", + ")\n", + "# Display top inefficient users by allocated VRAM efficiency\n", + "print(\"\\nTop inefficient Jobs by Allocated VRAM Efficiency:\")\n", + "display(inefficient_jobs_alloc_vram_eff.head(10))\n", + "\n", + "# Plot top inefficient jobs by allocated VRAM efficiency, with efficiency as labels\n", + "jobs_with_metrics_visualizer = JobsWithMetricsVisualizer(inefficient_jobs_alloc_vram_eff.head(10))\n", + "jobs_with_metrics_visualizer.visualize(\n", + " output_dir_path=JOBS_VISUALIZATION_DATA_DIR,\n", + " column=\"alloc_vram_efficiency\",\n", + " bar_label_columns=[\"job_hours\", \"vram_hours\"],\n", + " figsize=(10, 6),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "17", + "metadata": {}, + "source": [ + "### [User Efficiency Metrics](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "18", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Userjob_countuser_job_hourspi_accountavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_countvram_hours
0user_013122013.829722account_288-376.436134-442.506960.4355770.3732031.31690793344.522222
1user_02701561.586389account_252-1725.032831-1674.6129620.3879950.3953041.41274583753.096944
2user_032313411.456667account_05-6803.585527-6835.9665560.2133080.2130913.604497749234.942778
3user_04316553.818889account_125-36.18073-36.2688110.7793490.7790091.01441444560.546667
4user_052622910.031944account_111-994.735622-984.3029980.4863160.4904941.617360249461.198333
.................................
776user_9911405815732.148889account_272-36.057322-13.7567670.1973130.0573291.000000217972.611944
777user_99211117.076944account_245-434.342233<NA>0.24206<NA>1.8638062548.665556
778user_99537.253056account_111-240.610427-320.2492210.1795150.1166891.000000378.982222
779user_99663.301111account_27-126.160798-117.0508650.0097060.0130951.000000161.798333
780user_9973371687.5775account_116-373.20391-377.967480.5829930.580661.054265130665.979167
\n", + "

781 rows × 10 columns

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" + ], + "text/plain": [ + " User job_count user_job_hours pi_account \\\n", + "0 user_01 312 2013.829722 account_288 \n", + "1 user_02 70 1561.586389 account_252 \n", + "2 user_03 231 3411.456667 account_05 \n", + "3 user_04 316 553.818889 account_125 \n", + "4 user_05 262 2910.031944 account_111 \n", + ".. ... ... ... ... \n", + "776 user_991 14058 15732.148889 account_272 \n", + "777 user_992 11 117.076944 account_245 \n", + "778 user_995 3 7.253056 account_111 \n", + "779 user_996 6 3.301111 account_27 \n", + "780 user_997 337 1687.5775 account_116 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "0 -376.436134 -442.50696 \n", + "1 -1725.032831 -1674.612962 \n", + "2 -6803.585527 -6835.966556 \n", + "3 -36.18073 -36.268811 \n", + "4 -994.735622 -984.302998 \n", + ".. ... ... \n", + "776 -36.057322 -13.756767 \n", + "777 -434.342233 \n", + "778 -240.610427 -320.249221 \n", + "779 -126.160798 -117.050865 \n", + "780 -373.20391 -377.96748 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "0 0.435577 \n", + "1 0.387995 \n", + "2 0.213308 \n", + "3 0.779349 \n", + "4 0.486316 \n", + ".. ... \n", + "776 0.197313 \n", + "777 0.24206 \n", + "778 0.179515 \n", + "779 0.009706 \n", + "780 0.582993 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \\\n", + "0 0.373203 1.316907 \n", + "1 0.395304 1.412745 \n", + "2 0.213091 3.604497 \n", + "3 0.779009 1.014414 \n", + "4 0.490494 1.617360 \n", + ".. ... ... \n", + "776 0.057329 1.000000 \n", + "777 1.863806 \n", + "778 0.116689 1.000000 \n", + "779 0.013095 1.000000 \n", + "780 0.58066 1.054265 \n", + "\n", + " vram_hours \n", + "0 93344.522222 \n", + "1 83753.096944 \n", + "2 749234.942778 \n", + "3 44560.546667 \n", + "4 249461.198333 \n", + ".. ... \n", + "776 217972.611944 \n", + "777 2548.665556 \n", + "778 378.982222 \n", + "779 161.798333 \n", + "780 130665.979167 \n", + "\n", + "[781 rows x 10 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users_with_metrics" + ] + }, + { + "cell_type": "markdown", + "id": "19", + "metadata": {}, + "source": [ + "#### [Find Inefficient Users based on `expected_value_alloc_vram_efficiency`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Top inefficient users by allocated vram efficiency:\n" + ] + }, + { + "data": { + "text/html": [ + "
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Userjob_countuser_job_hourspi_accountavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_countvram_hours
377user_53035944.06account_304-55192.298478-59678.6107410.0016730.0015254.0000003.020992e+05
107user_19615218.518611account_179-30454.599654<NA>0.003467<NA>7.0778036.487870e+04
442user_60526314784.038056account_17-22459.685004-6237.5964470.0044660.0008426.7112431.035941e+06
645user_843510.715833account_266-3300.821225-3380.3451960.0055430.0046965.1572883.105187e+03
86user_172591954.228056account_297-50892.684746-51123.4569610.0056870.0054943.9990545.760878e+05
367user_5181948.045833account_61-1030.167376-1030.1673760.0061440.0061441.0000003.843667e+03
448user_61354.331667account_133-148.482691-143.9421550.0067240.0076151.0000001.436325e+02
617user_8101486.796667account_261-4505.252536-6940.3927630.0068170.0061443.7600051.237934e+04
166user_26758.562222account_02-396.930467-365.6209920.00770.0113331.0000004.026889e+02
75user_156810.616111account_43-96.759961<NA>0.008421<NA>1.0000001.610253e+02
412user_572102313.101389account_197-649.762113-1355.4460520.0084210.0026011.0000001.364440e+04
343user_485821.647778account_57-615.102434-644.5803590.0085880.0112071.0000001.022376e+03
556user_73265589152266.486944account_98-493.859603-515.5853490.0086040.0063831.0000006.615882e+06
648user_846125734.554167account_296-3802.896367-3946.4834240.008610.0078422.7266459.437423e+04
193user_3058367891.600833account_17-52543.681108-70376.4203470.0091140.0025195.2506365.549345e+06
760user_97456.835833account_27-460.961636-460.9616360.0091630.0091631.0000004.900950e+02
157user_254720.519444account_138-1077.810094-1077.8100940.0091750.0091751.0000001.607669e+03
435user_5981833.398056account_14-719.757303-719.7573030.0092310.0092311.0000002.671844e+03
214user_326511.071944account_263-2088.001115-3081.7997730.0092570.0028623.6851191.656796e+03
145user_2401252272.859444account_220-6235.569027-1856.2569240.0093950.000526.9308861.555163e+05
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" + ], + "text/plain": [ + " User job_count user_job_hours pi_account \\\n", + "377 user_530 35 944.06 account_304 \n", + "107 user_196 15 218.518611 account_179 \n", + "442 user_605 263 14784.038056 account_17 \n", + "645 user_843 5 10.715833 account_266 \n", + "86 user_172 59 1954.228056 account_297 \n", + "367 user_518 19 48.045833 account_61 \n", + "448 user_613 5 4.331667 account_133 \n", + "617 user_810 14 86.796667 account_261 \n", + "166 user_267 5 8.562222 account_02 \n", + "75 user_156 8 10.616111 account_43 \n", + "412 user_572 102 313.101389 account_197 \n", + "343 user_485 8 21.647778 account_57 \n", + "556 user_732 65589 152266.486944 account_98 \n", + "648 user_846 125 734.554167 account_296 \n", + "193 user_30 583 67891.600833 account_17 \n", + "760 user_974 5 6.835833 account_27 \n", + "157 user_254 7 20.519444 account_138 \n", + "435 user_598 18 33.398056 account_14 \n", + "214 user_326 5 11.071944 account_263 \n", + "145 user_240 125 2272.859444 account_220 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "377 -55192.298478 -59678.610741 \n", + "107 -30454.599654 \n", + "442 -22459.685004 -6237.596447 \n", + "645 -3300.821225 -3380.345196 \n", + "86 -50892.684746 -51123.456961 \n", + "367 -1030.167376 -1030.167376 \n", + "448 -148.482691 -143.942155 \n", + "617 -4505.252536 -6940.392763 \n", + "166 -396.930467 -365.620992 \n", + "75 -96.759961 \n", + "412 -649.762113 -1355.446052 \n", + "343 -615.102434 -644.580359 \n", + "556 -493.859603 -515.585349 \n", + "648 -3802.896367 -3946.483424 \n", + "193 -52543.681108 -70376.420347 \n", + "760 -460.961636 -460.961636 \n", + "157 -1077.810094 -1077.810094 \n", + "435 -719.757303 -719.757303 \n", + "214 -2088.001115 -3081.799773 \n", + "145 -6235.569027 -1856.256924 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "377 0.001673 \n", + "107 0.003467 \n", + "442 0.004466 \n", + "645 0.005543 \n", + "86 0.005687 \n", + "367 0.006144 \n", + "448 0.006724 \n", + "617 0.006817 \n", + "166 0.0077 \n", + "75 0.008421 \n", + "412 0.008421 \n", + "343 0.008588 \n", + "556 0.008604 \n", + "648 0.00861 \n", + "193 0.009114 \n", + "760 0.009163 \n", + "157 0.009175 \n", + "435 0.009231 \n", + "214 0.009257 \n", + "145 0.009395 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \\\n", + "377 0.001525 4.000000 \n", + "107 7.077803 \n", + "442 0.000842 6.711243 \n", + "645 0.004696 5.157288 \n", + "86 0.005494 3.999054 \n", + "367 0.006144 1.000000 \n", + "448 0.007615 1.000000 \n", + "617 0.006144 3.760005 \n", + "166 0.011333 1.000000 \n", + "75 1.000000 \n", + "412 0.002601 1.000000 \n", + "343 0.011207 1.000000 \n", + "556 0.006383 1.000000 \n", + "648 0.007842 2.726645 \n", + "193 0.002519 5.250636 \n", + "760 0.009163 1.000000 \n", + "157 0.009175 1.000000 \n", + "435 0.009231 1.000000 \n", + "214 0.002862 3.685119 \n", + "145 0.00052 6.930886 \n", + "\n", + " vram_hours \n", + "377 3.020992e+05 \n", + "107 6.487870e+04 \n", + "442 1.035941e+06 \n", + "645 3.105187e+03 \n", + "86 5.760878e+05 \n", + "367 3.843667e+03 \n", + "448 1.436325e+02 \n", + "617 1.237934e+04 \n", + "166 4.026889e+02 \n", + "75 1.610253e+02 \n", + "412 1.364440e+04 \n", + "343 1.022376e+03 \n", + "556 6.615882e+06 \n", + "648 9.437423e+04 \n", + "193 5.549345e+06 \n", + "760 4.900950e+02 \n", + "157 1.607669e+03 \n", + "435 2.671844e+03 \n", + "214 1.656796e+03 \n", + "145 1.555163e+05 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_users_alloc_vram_eff = efficiency_analysis.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=MetricsDataFrameNameEnum.USERS,\n", + " sorting_key=\"expected_value_alloc_vram_efficiency\",\n", + " ascending=True, # we want to find users with low efficiency\n", + " filter_criteria={\n", + " \"expected_value_alloc_vram_efficiency\": {\"max\": 0.3, \"inclusive\": True},\n", + " \"job_count\": {\"min\": 5, \"inclusive\": True}, # Minimum number of jobs to consider a user\n", + " },\n", + ")\n", + "print(\"\\nTop inefficient users by allocated vram efficiency:\")\n", + "display(inefficient_users_alloc_vram_eff.head(20))\n", + "\n", + "# Plot top inefficient users by allocated vram efficiency, with allocated vram efficiency as labels\n", + "users_with_metrics_visualizer = UsersWithMetricsVisualizer(inefficient_users_alloc_vram_eff.head(10))\n", + "users_with_metrics_visualizer.visualize(\n", + " column=\"expected_value_alloc_vram_efficiency\",\n", + " bar_label_columns=[\"vram_hours\", \"user_job_hours\"],\n", + " figsize=(10, 6),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "21", + "metadata": {}, + "source": [ + "#### [Distribution of `expected_value_requested_vram_efficiency`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "22", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inefficient_users_ev_req_vram_eff = efficiency_analysis.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=MetricsDataFrameNameEnum.USERS,\n", + " sorting_key=\"expected_value_requested_vram_efficiency\",\n", + " ascending=True, # Sort by expected_value_requested_vram_efficiency in ascending order\n", + " filter_criteria={\n", + " \"job_count\": {\"min\": 5, \"inclusive\": True}, # minimum job count threshold\n", + " },\n", + ")\n", + "users_with_metrics_ev_visualizer = UsersWithMetricsVisualizer(inefficient_users_ev_req_vram_eff)\n", + "users_with_metrics_ev_visualizer.visualize_metric_distribution(\n", + " output_dir_path=USERS_VISUALIZATION_DATA_DIR, column=\"expected_value_requested_vram_efficiency\", figsize=(8, 5)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "23", + "metadata": {}, + "source": [ + "#### [Find Users with Highest `vram_hours`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "24", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Top users by VRAM-hours:\n" + ] + }, + { + "data": { + "text/html": [ + "
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Userjob_countuser_job_hourspi_accountavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_countvram_hours
15user_1005697105835.925account_304<NA>-252348.011786<NA>0.0013334.9763223.359777e+07
401user_55831722338.849167account_103-262449.296581-264001.8796250.0228360.02298340.1781591.833773e+07
556user_73265589152266.486944account_98-493.859603-515.5853490.0086040.0063831.0000006.615882e+06
755user_9731714992.952222account_205-47282.412613-47882.5952770.1416350.141637.6622426.481426e+06
183user_2882313105744.081111account_94-7949.804762-3131.5547730.0632530.0194674.9921456.091622e+06
193user_3058367891.600833account_17-52543.681108-70376.4203470.0091140.0025195.2506365.549345e+06
219user_33132815125.453056account_116<NA>-25000.095453<NA>0.1668374.9462784.946089e+06
749user_96482814059.644722account_262-9001.544762-9186.435090.2121720.2121494.3549374.398083e+06
19user_101217116493.559722account_116-3830.378555-3823.7510030.2837030.2875365.8458853.920441e+06
327user_466147085.508889account_108-1083110.355128-1083110.3551280.0161870.0161878.1942643.505422e+06
732user_9461709265.395833account_114-31186.08237-31186.082370.2010740.2010744.4242463.156931e+06
96user_183568710821.507222account_187-1101.252258-1102.2850.2138050.2138546.6479103.131337e+06
74user_15549110592.109444account_165-13080.960303-13081.0979380.1316980.1316944.3230452.952817e+06
6user_08626553465.328056account_101-464.392151-1990.8724550.4399470.3764451.9185512.886238e+06
598user_78712766741.909444account_184-5427.837867-5436.144210.0736740.0736747.8759552.532412e+06
687user_8923414718.606667account_195-135127.140226-135127.1402260.1664090.1664094.0000002.425092e+06
553user_731555677.371389account_08-60571.803698-22803.5772760.0603480.0593617.8057362.326738e+06
269user_392108117343.934167account_116-2430.449891-2510.9977460.3550660.3455282.1083182.296620e+06
165user_2651763770.697222account_26-8552.31856-8554.8438220.6571540.6570787.2613902.005787e+06
530user_704328821087.202778account_260-1532.60993-2458.9635920.1005150.0677252.9970102.000897e+06
\n", + "
" + ], + "text/plain": [ + " User job_count user_job_hours pi_account \\\n", + "15 user_1005 697 105835.925 account_304 \n", + "401 user_558 317 22338.849167 account_103 \n", + "556 user_732 65589 152266.486944 account_98 \n", + "755 user_97 317 14992.952222 account_205 \n", + "183 user_288 2313 105744.081111 account_94 \n", + "193 user_30 583 67891.600833 account_17 \n", + "219 user_331 328 15125.453056 account_116 \n", + "749 user_964 828 14059.644722 account_262 \n", + "19 user_101 2171 16493.559722 account_116 \n", + "327 user_466 14 7085.508889 account_108 \n", + "732 user_946 170 9265.395833 account_114 \n", + "96 user_183 5687 10821.507222 account_187 \n", + "74 user_155 491 10592.109444 account_165 \n", + "6 user_08 6265 53465.328056 account_101 \n", + "598 user_787 1276 6741.909444 account_184 \n", + "687 user_892 34 14718.606667 account_195 \n", + "553 user_73 155 5677.371389 account_08 \n", + "269 user_392 1081 17343.934167 account_116 \n", + "165 user_265 176 3770.697222 account_26 \n", + "530 user_704 3288 21087.202778 account_260 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "15 -252348.011786 \n", + "401 -262449.296581 -264001.879625 \n", + "556 -493.859603 -515.585349 \n", + "755 -47282.412613 -47882.595277 \n", + "183 -7949.804762 -3131.554773 \n", + "193 -52543.681108 -70376.420347 \n", + "219 -25000.095453 \n", + "749 -9001.544762 -9186.43509 \n", + "19 -3830.378555 -3823.751003 \n", + "327 -1083110.355128 -1083110.355128 \n", + "732 -31186.08237 -31186.08237 \n", + "96 -1101.252258 -1102.285 \n", + "74 -13080.960303 -13081.097938 \n", + "6 -464.392151 -1990.872455 \n", + "598 -5427.837867 -5436.14421 \n", + "687 -135127.140226 -135127.140226 \n", + "553 -60571.803698 -22803.577276 \n", + "269 -2430.449891 -2510.997746 \n", + "165 -8552.31856 -8554.843822 \n", + "530 -1532.60993 -2458.963592 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "15 \n", + "401 0.022836 \n", + "556 0.008604 \n", + "755 0.141635 \n", + "183 0.063253 \n", + "193 0.009114 \n", + "219 \n", + "749 0.212172 \n", + "19 0.283703 \n", + "327 0.016187 \n", + "732 0.201074 \n", + "96 0.213805 \n", + "74 0.131698 \n", + "6 0.439947 \n", + "598 0.073674 \n", + "687 0.166409 \n", + "553 0.060348 \n", + "269 0.355066 \n", + "165 0.657154 \n", + "530 0.100515 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \\\n", + "15 0.001333 4.976322 \n", + "401 0.022983 40.178159 \n", + "556 0.006383 1.000000 \n", + "755 0.14163 7.662242 \n", + "183 0.019467 4.992145 \n", + "193 0.002519 5.250636 \n", + "219 0.166837 4.946278 \n", + "749 0.212149 4.354937 \n", + "19 0.287536 5.845885 \n", + "327 0.016187 8.194264 \n", + "732 0.201074 4.424246 \n", + "96 0.213854 6.647910 \n", + "74 0.131694 4.323045 \n", + "6 0.376445 1.918551 \n", + "598 0.073674 7.875955 \n", + "687 0.166409 4.000000 \n", + "553 0.05936 17.805736 \n", + "269 0.345528 2.108318 \n", + "165 0.657078 7.261390 \n", + "530 0.067725 2.997010 \n", + "\n", + " vram_hours \n", + "15 3.359777e+07 \n", + "401 1.833773e+07 \n", + "556 6.615882e+06 \n", + "755 6.481426e+06 \n", + "183 6.091622e+06 \n", + "193 5.549345e+06 \n", + "219 4.946089e+06 \n", + "749 4.398083e+06 \n", + "19 3.920441e+06 \n", + "327 3.505422e+06 \n", + "732 3.156931e+06 \n", + "96 3.131337e+06 \n", + "74 2.952817e+06 \n", + "6 2.886238e+06 \n", + "598 2.532412e+06 \n", + "687 2.425092e+06 \n", + "553 2.326738e+06 \n", + "269 2.296620e+06 \n", + "165 2.005787e+06 \n", + "530 2.000897e+06 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "users_with_highest_vram_hours = efficiency_analysis.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=MetricsDataFrameNameEnum.USERS,\n", + " sorting_key=\"vram_hours\",\n", + " ascending=False, # Sort by vram_hours in descending order\n", + ")\n", + "# Display top users by VRAM-hours\n", + "print(\"\\nTop users by VRAM-hours:\")\n", + "display(users_with_highest_vram_hours.head(20))\n", + "\n", + "\n", + "# Plot top users by VRAM-hours, with VRAM-hours as labels\n", + "users_with_metrics_visualizer = UsersWithMetricsVisualizer(users_with_highest_vram_hours.head(10))\n", + "users_with_metrics_visualizer.visualize(\n", + " column=\"vram_hours\", bar_label_columns=[\"vram_hours\", \"user_job_hours\"], figsize=(10, 6)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "25", + "metadata": {}, + "source": [ + "### [PI Group Efficiency Metrics](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "26", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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236 rows × 10 columns

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" + ], + "text/plain": [ + " pi_account job_count pi_acc_job_hours user_count pi_acc_vram_hours \\\n", + "0 account_101 11316 76485.67 5 4.676935e+06 \n", + "1 account_36 2774 25349.388056 9 1.492300e+06 \n", + "2 account_238 37 529.387222 2 2.938982e+04 \n", + "3 account_303 20 100.200278 2 5.590667e+03 \n", + "4 account_246 62 613.028889 1 3.393105e+04 \n", + ".. ... ... ... ... ... \n", + "231 account_14 1096 8144.030278 7 1.447648e+06 \n", + "232 account_72 3 1.029444 1 2.367722e+01 \n", + "233 account_274 2 6.008056 1 1.401914e+02 \n", + "234 account_120 239 1027.653611 4 6.478232e+04 \n", + "235 account_108 18 7102.757778 2 3.516462e+06 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "0 -793.054498 -1106.770109 \n", + "1 -349.595223 -611.819708 \n", + "2 -3304.07409 \n", + "3 -2631.77737 -758.026297 \n", + "4 -2094.999836 -2143.993324 \n", + ".. ... ... \n", + "231 -9397.564303 -9400.080703 \n", + "232 -17.827113 \n", + "233 -194.653964 -320.633675 \n", + "234 -1260.808055 -1028.495733 \n", + "235 -551714.434657 -551714.434657 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "0 0.396305 \n", + "1 0.256006 \n", + "2 0.053941 \n", + "3 0.084939 \n", + "4 0.058255 \n", + ".. ... \n", + "231 0.127788 \n", + "232 0.143856 \n", + "233 0.090539 \n", + "234 0.261716 \n", + "235 0.016138 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \n", + "0 0.383152 1.668918 \n", + "1 0.249356 3.501491 \n", + "2 4.021917 \n", + "3 0.075065 2.906421 \n", + "4 0.052113 1.475564 \n", + ".. ... ... \n", + "231 0.125943 3.282858 \n", + "232 1.000000 \n", + "233 0.024415 1.000000 \n", + "234 0.231884 2.710185 \n", + "235 0.016138 8.193654 \n", + "\n", + "[236 rows x 10 columns]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pi_accounts_with_metrics" + ] + }, + { + "cell_type": "markdown", + "id": "27", + "metadata": {}, + "source": [ + "#### [Find PIs with Highest `vram_hours`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "28", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Top inefficient PI Groups by VRAM-hours:\n" + ] + }, + { + "data": { + "text/html": [ + "
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pi_accountjob_countpi_acc_job_hoursuser_countpi_acc_vram_hoursavg_alloc_vram_efficiency_scoreavg_requested_vram_efficiency_scoreexpected_value_alloc_vram_efficiencyexpected_value_requested_vram_efficiencyexpected_value_gpu_count
32account_3041039113545.03833333.413163e+07-29404.285819-106864.7583510.0000790.0013614.940680
131account_103136726715.89194421.862981e+07-131355.383761-132199.4374470.0297220.02949839.563923
127account_116509575156.922778181.407608e+07-2805.9248-4914.3644570.1899030.2470234.399423
23account_1871001637249.653056118.677847e+06-2575.51016-2548.8460310.2270400.2255125.277519
54account_20566218418.2747.266607e+06-16597.454176-19866.6724250.1270550.1375417.525455
158account_1792385200.95277837.070270e+06-37096.104471-47391.0587460.0086700.0026925.358943
139account_9865589152266.48694416.615882e+06-493.859603-515.5853490.0086040.0063831.000000
199account_947068132313.49638976.420683e+06-2433.145357-4612.7984570.0646390.0230774.787546
64account_2621007236170.31111145.090398e+06-2381.178527-2887.5267360.2121020.2062213.903893
0account_1011131676485.6754.676935e+06-793.054498-1106.7701090.3963050.3831521.668918
94account_177619830451.329444213.857700e+06-792.667714-1851.7652960.3082150.2975782.974527
63account_1841357445212.682222153.742947e+06-796.531586-1173.8057810.2198700.1709465.744786
171account_11459914646.66166793.719097e+06-6441.421084-6391.0773870.2171040.2123884.108325
216account_239126217176.74666783.641284e+06-2939.789786-2944.5870160.3807780.3807224.192590
235account_108187102.75777823.516462e+06-551714.434657-551714.4346570.0161380.0161388.193654
153account_165271716084.62722233.263009e+06-4583.402977-4586.8543920.1382890.1370814.060050
17account_254153423907.842532.744991e+06-1958.655939-1856.7864740.2792780.3595732.628489
82account_50781441130.022222222.620480e+06-1090.604181-770.7754980.3036590.2609911.905410
31account_082636842.63305632.603138e+06-24171.762438-11582.3536310.0740700.07318716.281405
83account_1955015055.05522.490368e+06-72954.201736-73711.3850050.1644690.164463.999841
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" + ], + "text/plain": [ + " pi_account job_count pi_acc_job_hours user_count pi_acc_vram_hours \\\n", + "32 account_304 1039 113545.038333 3 3.413163e+07 \n", + "131 account_103 1367 26715.891944 2 1.862981e+07 \n", + "127 account_116 5095 75156.922778 18 1.407608e+07 \n", + "23 account_187 10016 37249.653056 11 8.677847e+06 \n", + "54 account_205 662 18418.27 4 7.266607e+06 \n", + "158 account_17 923 85200.952778 3 7.070270e+06 \n", + "139 account_98 65589 152266.486944 1 6.615882e+06 \n", + "199 account_94 7068 132313.496389 7 6.420683e+06 \n", + "64 account_262 10072 36170.311111 4 5.090398e+06 \n", + "0 account_101 11316 76485.67 5 4.676935e+06 \n", + "94 account_177 6198 30451.329444 21 3.857700e+06 \n", + "63 account_184 13574 45212.682222 15 3.742947e+06 \n", + "171 account_114 599 14646.661667 9 3.719097e+06 \n", + "216 account_239 1262 17176.746667 8 3.641284e+06 \n", + "235 account_108 18 7102.757778 2 3.516462e+06 \n", + "153 account_165 2717 16084.627222 3 3.263009e+06 \n", + "17 account_254 1534 23907.8425 3 2.744991e+06 \n", + "82 account_50 7814 41130.022222 22 2.620480e+06 \n", + "31 account_08 263 6842.633056 3 2.603138e+06 \n", + "83 account_195 50 15055.055 2 2.490368e+06 \n", + "\n", + " avg_alloc_vram_efficiency_score avg_requested_vram_efficiency_score \\\n", + "32 -29404.285819 -106864.758351 \n", + "131 -131355.383761 -132199.437447 \n", + "127 -2805.9248 -4914.364457 \n", + "23 -2575.51016 -2548.846031 \n", + "54 -16597.454176 -19866.672425 \n", + "158 -37096.104471 -47391.058746 \n", + "139 -493.859603 -515.585349 \n", + "199 -2433.145357 -4612.798457 \n", + "64 -2381.178527 -2887.526736 \n", + "0 -793.054498 -1106.770109 \n", + "94 -792.667714 -1851.765296 \n", + "63 -796.531586 -1173.805781 \n", + "171 -6441.421084 -6391.077387 \n", + "216 -2939.789786 -2944.587016 \n", + "235 -551714.434657 -551714.434657 \n", + "153 -4583.402977 -4586.854392 \n", + "17 -1958.655939 -1856.786474 \n", + "82 -1090.604181 -770.775498 \n", + "31 -24171.762438 -11582.353631 \n", + "83 -72954.201736 -73711.385005 \n", + "\n", + " expected_value_alloc_vram_efficiency \\\n", + "32 0.000079 \n", + "131 0.029722 \n", + "127 0.189903 \n", + "23 0.227040 \n", + "54 0.127055 \n", + "158 0.008670 \n", + "139 0.008604 \n", + "199 0.064639 \n", + "64 0.212102 \n", + "0 0.396305 \n", + "94 0.308215 \n", + "63 0.219870 \n", + "171 0.217104 \n", + "216 0.380778 \n", + "235 0.016138 \n", + "153 0.138289 \n", + "17 0.279278 \n", + "82 0.303659 \n", + "31 0.074070 \n", + "83 0.164469 \n", + "\n", + " expected_value_requested_vram_efficiency expected_value_gpu_count \n", + "32 0.001361 4.940680 \n", + "131 0.029498 39.563923 \n", + "127 0.247023 4.399423 \n", + "23 0.225512 5.277519 \n", + "54 0.137541 7.525455 \n", + "158 0.002692 5.358943 \n", + "139 0.006383 1.000000 \n", + "199 0.023077 4.787546 \n", + "64 0.206221 3.903893 \n", + "0 0.383152 1.668918 \n", + "94 0.297578 2.974527 \n", + "63 0.170946 5.744786 \n", + "171 0.212388 4.108325 \n", + "216 0.380722 4.192590 \n", + "235 0.016138 8.193654 \n", + "153 0.137081 4.060050 \n", + "17 0.359573 2.628489 \n", + "82 0.260991 1.905410 \n", + "31 0.073187 16.281405 \n", + "83 0.16446 3.999841 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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Kubm50qlTJ3U74+8pIiJCuX37tnL9+nVly5YtSunSpRWNRqMcPXpU6/jhw4crgGJubq40atRIGTt2rHLixIlcz10I8e6SHhRCCCH+VZs2bUJfX58vv/xSa//AgQNRFEV9wpzBx8eHSpUqqduOjo40a9aMrVu3Znr6q6vu3btrTbpYq1Yt0tLSuHz5MgDbt2/n/v37dOjQQeupor6+PlWrVmX37t2vVW9WVq5ciY2NDV988UWmtOwmhlQUhZUrVxIYGIiiKFpt9Pf358GDB/z2229ax3z++eda819kdJm+ePHiG7V/27Zt2NraYmtri6enJytWrKBjx445juvPSWRkJI0bN1afjru4uFCpUiWtJ8q3b99m3759dOnSBUdHR63jM65Zeno6a9asITAwkMqVK2eqJyPfpk2b8Pb21ur+X6BAAbp37058fDznzp17rfMoUKCA1hwERkZGeHt763S9CxYsCMDWrVvVnh55YWBgQI8ePbTq7tGjB3///TcnTpwAoH79+hQrVkzruv7++++cPn1a5/liFi5ciK2tLUWKFKFq1arq0Km8TLKaITU1lZ9++ol27dqp7029evUoUqSIVhuTkpIAdOo9kZFf17zZ0dfXp3379hw6dEhriE9UVBRFixbFz88v0zEvX5vKlSuzc+dOBg8enKmX2OnTpzlz5ozaYwhQP3e2bt2abZs+/fRT9uzZw82bN9m1axc3b958reEdzZo1Y/v27ZlegwYN0sqXsYpJbtfSwsJCfY/eRJcuXbC1taVYsWI0bNiQBw8esHTpUnVYVIZRo0YRFRWFl5cXW7du5ZtvvqFSpUp8/PHH2a76IYR4t0mAQgghxL/q8uXLFCtWLNMX3YxVPTKCBBlcXFwylVGmTBmePHmS5bwRunj1pjaj2/C9e/eAF93I4cUNUsbNd8Zr27Ztb3XytQsXLuDq6pqnFTpu377N/fv3mTdvXqb2ff7550DmCeJyO+fXVbVqVbZv386OHTs4ePAgd+7cYcmSJbl2ec9KbGwsJ0+epEaNGvz111/qy9fXlw0bNqg3Phk3+TktXXr79m2SkpJyXd708uXLuLq6Ztqf3e+jrkqUKJEpwGRlZaXT9f7oo48YMGAACxYswMbGBn9/f2bNmqXz/BPFihXD3Nxca1+ZMmWA/+sqr6enR1BQEGvWrFGDIBmrQLRp00anejJubnfs2MGRI0e4c+cO4eHh6Onl/evltm3buH37Nt7e3ur7funSJerWrcvy5ctJT08HXswZAeS47OfLLC0tdc6bk4whLxlzYly9elWdN0JfXz9T/oxrs3HjRkaOHIlGo+HJkyeZrs2yZcswNzenZMmS6nmbmJioq5hkJyAgAAsLC3766SciIyOpUqWK1mpBuipRogT169fP9CpXrpxWvozP69yu5cOHD/McEMoqEDt8+HC2b9+urp7y4MGDbH+vOnTowK+//sq9e/fYtm0bn376KSdPniQwMPAfXdFECPHPkFU8hBBCfHCyuqEA1Ek6M26Gli5dqrWkXYZ/ernP3GS077PPPlMn6XyVh4eH1nZu5/y6bGxstJZXfRPLli0DoH///vTv3z9T+sqVK9UAzL8tu94s2fXiedPrHR4eTufOnVm7di3btm3jyy+/ZPz48Rw+fJgSJUro1uhcBAcHM3nyZNasWUOHDh2IiopSJ6fURcbN7duQcTP+6soUGfbu3UvdunUpW7YsAGfOnNGp3LJly3Ly5EmuXLmCg4PDa7evUqVKlC1bluXLl/P111/nOlfHy9cmICAAGxsbQkJCqFu3rjofjaIoLF++nMePH2cKCMCLIOOjR48oUKBApjRjY2NatmzJ4sWLuXjxYqYJdN+20qVLY2BgwOnTp7PNk5ycTFxcnFaPJRMTE5KTk1EUJdPfkKIoPHv2LMsVitzd3dXr17x5c548eUK3bt2oWbNmtu+jpaUlDRo0oEGDBhgaGrJ48WKOHDkiKwAJ8Z6RAIUQQoh/lZOTEzt27Mj0pO2PP/5Q01+W0ZvhZX/++SdmZmbY2tr+I20sVaoU8GIStrd1A5ZTXUeOHCElJSXLFQmyYmtri4WFBWlpaW+1fdndhP8bFEUhKiqKunXr0rt370zpY8aMITIyks8//5ySJUsC5DiJqK2tLZaWlrlOpurk5ERcXFym/a/+Pmb0OHl1ksrX7WEBuV9vd3d33N3dGTZsGAcPHqRGjRrMnTs32yUoM1y/fp3Hjx9r9aL4888/AbRWZqlQoQJeXl5ERkZSokQJEhIS+P7771/7fF7X48ePWbt2Le3atdNaWjLDl19+SWRkJHXr1qVMmTK4urqydu1aZsyYkeXN+8sCAwNZvnw5y5YtIzQ09I3aGRQURFhYGKdPnyYqKgoXF5dMQw6y06NHD6ZNm8awYcNo0aIFGo2GvXv3cvXqVUaPHq322Mlw7949unfvzpo1a7IdcvPpp58SERGBnp4e7du3f6Nzy425uTl169Zl165dXL58OdPnNMDPP/9McnKyuoIKvPj7SU1N5cKFC5l6ePz111+kpaVlWdarMib5HTt2rNaKNNmpXLkyixcv5saNGzqcnRDiXSJDPIQQQvyrAgICSEtLY+bMmVr7p02bhkajoVGjRlr7Dx06pDWfwpUrV1i7di2ffPJJtk+p35S/vz+WlpaMGzeOlJSUTOmvO7QkK61ateLOnTuZrgdk/7RdX1+fVq1asXLlyixvwF+3febm5joPI3jbDhw4QHx8PJ9//jmtW7fO9GrXrh27d+/m+vXr2NraUrt2bSIiIkhISNAqJ+Oa6enpqat6HD9+PFN9GfkCAgI4evQohw4dUtMeP37MvHnzcHZ2Vp9sZwStXl7iNi0tjXnz5r32OWcEEF4NeiQlJZGamqq1z93dHT09PZKTk3MtNzU1VWupx+fPn/PDDz9ga2urNZ8LvFjdYtu2bUyfPp3ChQtn+vv7N6xevZrHjx/Tp0+fLN/7Jk2asHLlSvXcR40axd27d/nf//6X6TrBi+EiGStJtG7dGnd3d8aOHav1Hmd4+PBhpqVps5PRW2L48OHExMTkaaUTAwMDBg4cSGxsLGvXrgX+b3jHoEGDMp1zt27dcHFxyXGYR926dRkzZgwzZ87MsqfX2zZs2DAURaFz5848ffpUK+3SpUsMHjwYe3t7rflPMn6fsvp8mzVrllaenJQqVYpWrVqxaNEibt68CbxYWSSr9xRQ5zLKaviWEOLdJj0ohBBC/KsCAwOpW7cu33zzDfHx8Xh6erJt2zbWrl1Lv3791BvBDBUqVMDf358vv/wSY2NjZs+eDby4SfmnWFpaMmfOHDp27MjHH39M+/btsbW1JSEhgY0bN1KjRo0sv3C/juDgYJYsWcKAAQM4evQotWrV4vHjx+zYsYPevXvTrFmzLI+bMGECu3fvpmrVqnTr1o1y5cqRmJjIb7/9xo4dO15r2b1KlSrx008/MWDAAKpUqUKBAgUIDAx801PUSWRkJPr6+jRu3DjL9KZNm/LNN98QHR3NgAED+O6776hZsyYff/wx3bt356OPPiI+Pp6NGzcSExMDwLhx49i2bRt16tShe/fuuLm5cePGDVasWMH+/fspVKgQQ4cOZfny5TRq1Igvv/wSa2trFi9ezKVLl1i5cqU67r18+fJUq1aN0NBQEhMTsba2Jjo6OssbZF2VKlWKQoUKMXfuXCwsLDA3N6dq1aqcOnWKkJAQ2rRpQ5kyZUhNTWXp0qVqYCo3xYoVY+LEicTHx1OmTBl++uknYmJimDdvXqZeOp9++imDBw9m9erV9OrVS+dePG9TZGQkhQsXpnr16lmmN23alPnz57Nx40ZatmxJu3btOHPmDGPHjuXkyZN06NABJycn7t69y5YtW9i5c6c6V4ShoSGrVq2ifv361K5dm7Zt21KjRg0MDQ05e/YsUVFRWFlZMXbs2Fzb+dFHH1G9enU1wJDXpVg7d+7M8OHDmThxIo0aNWLlypU0aNAgyyEOGec9Y8YM/v77b4oUKZIpXU9Pj2HDhuWpDW+idu3aTJkyhQEDBuDh4UHnzp2xt7fnjz/+YP78+aSnp7Np0yatpUArVqzI//73P2bMmMH58+dp0KAB8GIi4k2bNvG///0PT09PneofNGgQP//8M9OnT2fChAk8efKE6tWrU61aNRo2bIiDgwP3799nzZo1/PrrrzRv3hwvL69/5FoIIf5B+bByiBBCiA/Iq8uMKsqLZRz79++vFCtWTDE0NFRcXFyUyZMnay0RqSgvlsHr06ePsmzZMsXFxUUxNjZWvLy8tJZ0zE5Oy4y+uuxkVktFZuz39/dXChYsqJiYmCilSpVSOnfurLXs6ZsuM6ooivLkyRPlm2++UT766CPF0NBQsbOzU1q3bq1cuHBB61q8vMyooijKrVu3lD59+igODg7qcX5+fsq8efMyndurS1ZmXJ+Xl7h89OiR8umnnyqFChVSgFyXHNV1Ccnclhl9/vy5UrhwYaVWrVo5lvPRRx8pXl5e6vbvv/+utGjRQilUqJBiYmKiuLq6KmFhYVrHXL58WQkODlZsbW0VY2NjpWTJkkqfPn20lly9cOGC0rp1a7Ucb29vZcOGDZnqv3DhglK/fn3F2NhYKVq0qPL1118r27dvz3KZ0azOt1OnTpmu6dq1a5Vy5copBgYG6vtx8eJFpUuXLkqpUqUUExMTxdraWqlbt66yY8eOHK/Py3UfP35c8fHxUUxMTBQnJydl5syZ2R4TEBCgAMrBgwdzLT9Dxt9mbnL7Hbl165ZiYGCgdOzYMds8T548UczMzDItLbxz506lWbNmSpEiRRQDAwPF1tZWCQwMVNauXZupjHv37inDhw9X3N3dFTMzM8XExESpUKGCEhoaqty4cSPX88gwa9YsBVC8vb2zzZPTtRk5cqQCKCtXrlQAZeHChdmWs2fPHgVQZsyYoShK7kt2KkrWn3uv087sPtcURVH27dunNGvWTLGxsVEMDQ0VR0dHpVu3bkp8fHyWZaWlpSkzZsxQPD09FRMTE8XExETx9PRUvvvuO3UZ3wzZfV5l8PX1VSwtLZX79+8rKSkpyvz585XmzZsrTk5OirGxsWJmZqZ4eXkpkydP1vobF0K8PzSK8oazYwkhhBD/EI1GQ58+fd5abwUhRGYtWrTgzJkz/PXXX/ndFCGEEB84mYNCCCGEEOIDdePGDTZu3EjHjh3zuylCCCGEzEEhhBBCCPGhuXTpEgcOHGDBggUYGhpqTWwohBBC5BfpQSGEEEII8YHZu3cvHTt25NKlSyxevPhfWQVCCCGEyI3MQSGEEEIIIYQQQoh8Jz0ohBBCCCGEEEIIke8kQCGEEEIIIYQQQoh8J5Nkivdeeno6169fx8LCAo1Gk9/NEUIIIYQQQgjx/ymKwsOHDylWrBh6ejn3kZAAhXjvXb9+HQcHh/xuhhBCCCGEEEKIbFy5coUSJUrkmEcCFOK9Z2FhAbz4hbe0tMzn1gghhBBCCCGEyJCUlISDg4N635YTCVCI917GsA5LS0sJUAghhBBCCCHEO0iX4fgySaYQQgghhBBCCCHynQQohBBCCCGEEEIIke9kiIf4zyjTahx6hsb53QwhhBBCfKCubxqV300QQoj3mvSgEEIIIYQQQgghRL6TAIUQQgghhBBCCCHynQQohBBCCCGEEEIIke8kQPEBcXZ2Zvr06Trnj4uLo27duhQtWhQTExNKlizJsGHDSElJ0cq3YsUKypYti4mJCe7u7mzatCnbMnv27IlGo8lTO4QQQgghhBBC/PdJgEJky9DQkODgYLZt20ZcXBzTp09n/vz5jBgxQs1z8OBBOnToQNeuXTl58iTNmzenefPm/P7775nKW716NYcPH6ZYsWL/5mkIIYQQQvzn5PXBk8idRqNhzZo1+d0MIT5oEqDQ0ZYtW6hZsyaFChWicOHCNGnShAsXLqjpV69epUOHDlhbW2Nubk7lypU5cuSImr5+/XqqVKmCiYkJNjY2tGjRQk27d+8ewcHBWFlZYWZmRqNGjTh//ryaPnLkSCpWrKjVnunTp+Ps7Kxud+7cmebNmzNlyhTs7e0pXLgwffr0UXs7+Pr6cvnyZfr3749Go0Gj0eR6ziVLluTzzz/H09MTJycnmjZtSlBQEL/++quaZ8aMGTRs2JBBgwbh5ubGmDFj+Pjjj5k5c6ZWWdeuXeOLL74gMjISQ0PDXOsWQgghhBDZO3bsGN27d8/vZoh3SNOmTXF0dMTExAR7e3s6duzI9evXs8z7119/YWFhQaFChXIt98svv6RSpUoYGxtnuicB3Xtdvyw+Ph6NRoO+vj7Xrl3TSrtx4wYGBgZoNBri4+NzbZ/4b5EAhY4eP37MgAEDOH78ODt37kRPT48WLVqQnp7Oo0ePqFOnDteuXWPdunWcOnWKwYMHk56eDsDGjRtp0aIFAQEBnDx5kp07d+Lt7a2W3blzZ44fP866des4dOgQiqIQEBCQ4x91Vnbv3s2FCxfYvXs3ixcvZtGiRSxatAiAVatWUaJECUaPHs2NGze4ceNGnq/BX3/9xZYtW6hTp46679ChQ9SvX18rn7+/P4cOHVK309PT6dixI4MGDaJ8+fJ5rlcIIYQQQmiztbXFzMwsv5vx1j1//jy/m/Cvy+t3/uzUrVuXn3/+mbi4OFauXMmFCxdo3bp1lvV16NCBWrVq6Vx2ly5daNeuXZZpuvS6zk7x4sVZsmSJ1r7FixdTvHhxndsm/lskQKGjVq1a0bJlS0qXLk3FihWJiIjgzJkznDt3jqioKG7fvs2aNWuoWbMmpUuXpm3btvj4+AAwduxY2rdvz6hRo3Bzc8PT05PQ0FAAzp8/z7p161iwYAG1atXC09OTyMhIrl27lucuZlZWVsycOZOyZcvSpEkTGjduzM6dOwGwtrZGX18fCwsL7OzssLOz07nc6tWrY2JigouLC7Vq1WL06NFq2s2bNylatKhW/qJFi3Lz5k11e+LEiRgYGPDll1/m6XyEEEIIIT5Evr6+hISEEBISQsGCBbGxsSEsLAxFUdQ8eRniMXXqVNzd3TE3N8fBwYHevXvz6NEjrTwHDhzA19cXMzMzrKys8Pf35969e8CLh02TJk2idOnSGBsb4+joyNixY3Ott3r16gwZMkRr3+3btzE0NGTfvn3qeYwZM4bg4GAsLS3VXiFDhgyhTJkymJmZUbJkScLCwrRu5DN6GEdERODo6EiBAgXo3bs3aWlpTJo0CTs7O4oUKaJTO192584dWrRogZmZGS4uLqxbt04rfe/evXh7e2NsbIy9vT1Dhw4lNTVVTc/qfalYsSIjR45UtzUaDXPmzKFp06aYm5szduxY7t27R1BQELa2tpiamuLi4sKPP/6Yp7b379+fatWq4eTkRPXq1Rk6dCiHDx/OFAAZNmwYZcuWpW3btjqV+91339GnTx9KliyZZbouva6z06lTp0zn+eOPP9KpUyed2ib+eyRAoaPz58/ToUMHSpYsiaWlpTq8IiEhgZiYGLy8vLC2ts7y2JiYGPz8/LJMi42NxcDAgKpVq6r7ChcujKurK7GxsXlqY/ny5dHX11e37e3t+fvvv/NURlZ++uknfvvtN6Kioti4cSNTpkzR+dgTJ04wY8YMFi1apNOwEiGEEEII8eIpsoGBAUePHmXGjBlMnTqVBQsWvFZZenp6fPfdd5w9e5bFixeza9cuBg8erKZnfFctV64chw4dYv/+/QQGBpKWlgZAaGgoEyZMICwsTH049+oDqqwEBQURHR2tFVj56aefKFasmNbT+ylTpuDp6cnJkycJCwsDwMLCgkWLFnHu3DlmzJjB/PnzmTZtmlb5Fy5cYPPmzWzZsoXly5ezcOFCGjduzNWrV9m7dy8TJ05k2LBhWsOuczNq1Cjatm3L6dOnCQgIICgoiMTERODFkOWAgACqVKnCqVOnmDNnDgsXLuTbb7/VufwMI0eOpEWLFpw5c4YuXbqo13bz5s3ExsYyZ84cbGxs1Py+vr507txZ5/ITExOJjIykevXqWsOrd+3axYoVK5g1a1ae26yrrHpdZ6dp06bcu3eP/fv3A7B//37u3btHYGDgP9Y+8W4zyO8GvC8CAwNxcnJi/vz5FCtWjPT0dCpUqMDz588xNTXN8djc0nOjp6en9cEOWXcFe3VuB41Gow4zeRMODg4AlCtXjrS0NLp3787AgQPR19fHzs6OW7duaeW/deuW2kPj119/5e+//8bR0VFNT0tLY+DAgUyfPl3GlQkhhBBCZMHBwYFp06ah0WhwdXXlzJkzTJs2jW7duuW5rH79+qk/Ozs78+2339KzZ09mz54NwKRJk6hcubK6DajDch8+fMiMGTOYOXOm+lS7VKlS1KxZM9d627ZtS79+/di/f78akIiKiqJDhw5aD67q1avHwIEDtY4dNmyYVpu/+uoroqOjtQIr6enpREREYGFhQbly5ahbty5xcXFs2rQJPT09XF1dmThxIrt379Z6GJiTzp0706FDBwDGjRvHd999x9GjR2nYsCGzZ8/GwcGBmTNnotFoKFu2LNevX2fIkCEMHz4cPT3dn/1++umnfP755+p2QkICXl5eVK5cWT3nlzk6OmJvb59ruUOGDGHmzJk8efKEatWqsWHDBjXt7t27dO7cmWXLlmFpaalzW3VVvXp1fvvtN5KTk+nevbtWr+vsGBoa8tlnnxEREUHNmjWJiIjgs88+kznrPmDSg0IHd+/eJS4ujmHDhuHn54ebm5va5Q3Aw8ODmJgYNbr6Kg8PD3Woxavc3NxITU3Viuxm1FeuXDngxRjDmzdvagUpYmJi8nweRkZGaiT8daWnp5OSkqIGPnx8fDKd2/bt29XhLR07duT06dPExMSor2LFijFo0CC2bt36Rm0RQgghhPivqlatmtZNvI+PD+fPn3+t73I7duzAz8+P4sWLY2FhQceOHbl79y5PnjwBcu/tm5ycnG16Tmxtbfnkk0+IjIwE4NKlSxw6dIigoCCtfBk35S/76aefqFGjBnZ2dhQoUIBhw4aRkJCglcfZ2RkLCwt1u2jRopQrV04rUFC0aNE89Sj28PBQfzY3N8fS0lI9PjY2Fh8fH633pUaNGjx69IirV6/qXAdkPudevXoRHR1NxYoVGTx4MAcPHtRKX7JkCePHj8+13EGDBnHy5Em2bduGvr4+wcHB6j1Et27d+PTTT6ldu3ae2qqr1+113aVLF1asWMHNmzdZsWIFXbp0+UfaJ94PEqDQgZWVFYULF2bevHn89ddf7Nq1iwEDBqjpHTp0wM7OjubNm3PgwAEuXrzIypUr1YkiR4wYwfLlyxkxYgSxsbGcOXOGiRMnAuDi4kKzZs3o1q0b+/fv59SpU3z22WcUL16cZs2aAS+6dN2+fZtJkyZx4cIFZs2axebNm/N8Hs7Ozuzbt49r165x586dXPNHRkby888/Exsby8WLF/n5558JDQ2lXbt2alSzb9++bNmyhfDwcP744w9GjhzJ8ePHCQkJAV4MV6lQoYLWy9DQEDs7O1xdXfN8DkIIIYQQQnfx8fE0adIEDw8PVq5cyYkTJ9Tu/RkTUubU2/dNewIHBQXxyy+/kJKSQlRUFO7u7ri7u2vlMTc319rOCGIEBASwYcMGTp48yTfffJNpAs2seg+/aY/iNz1e157Pr55zo0aN1BX3rl+/jp+fH1999ZXO9WawsbGhTJkyNGjQgOjoaDZt2sThw4eBF8M7pkyZgoGBAQYGBnTt2pUHDx5gYGBAREREnut6lYODA+XKlaNDhw5MmDCBkSNH6hRQc3d3p2zZsnTo0AE3NzcqVKjwxm0R7y8JUOhAT0+P6OhoTpw4QYUKFejfvz+TJ09W042MjNi2bRtFihQhICAAd3d3JkyYoM4H4evry4oVK1i3bh0VK1akXr16HD16VD3+xx9/pFKlSjRp0gQfHx8URWHTpk3qB6SbmxuzZ89m1qxZeHp6cvTo0df6wBo9ejTx8fGUKlUKW1vbXPMbGBgwceJEvL298fDwYNSoUYSEhGiNf6xevTpRUVHMmzcPT09PfvnlF9asWSMfLEIIIYQQb+DVeRMOHz6Mi4uL1nxjujhx4gTp6emEh4dTrVo1ypQpk2npyZx6+7q4uGBqapptem6aNWvGs2fP2LJlC1FRUZl6T2Tl4MGDODk58c0331C5cmVcXFy4fPnya9X/Nrm5uakr7mU4cOAAFhYWlChRAnjRa+Tl1fKSkpK4dOmSTuXb2trSqVMnli1bxvTp05k3b94btTcjsJKcnAy8CPy83Kt59OjRWFhYEBMTQ4sWLd6orqzqfrnXdW66dOnCnj17pPeEkDkodFW/fn3OnTunte/lDycnJyd++eWXbI9v2bIlLVu2zDLNysoq0/I6r+rZsyc9e/bU2vf111+rP2csJ/qyV2cQrlatGqdOncqxnpe1a9cu2+WEXtamTRvatGmjc7ky74QQQgghRM4SEhIYMGAAPXr04LfffuP7778nPDw8z+WULl2alJQUvv/+ewIDAzlw4ABz587VyhMaGoq7uzu9e/emZ8+eGBkZsXv3btq0aYONjQ1Dhgxh8ODBGBkZUaNGDW7fvs3Zs2fp2rVrrvWbm5vTvHlzwsLCiI2NVed3yImLiwsJCQlER0dTpUoVNm7cyOrVq/N87m9b7969mT59Ol988QUhISHExcUxYsQIBgwYoA4rqVevHosWLSIwMJBChQoxfPhwnYJKw4cPp1KlSpQvX57k5GQ2bNiAm5ubmh4cHEzx4sWzHeZx5MgRjh07Rs2aNbGysuLChQuEhYVRqlQpdej1y+UBHD9+HD09Pa0Hi6tXryY0NJQ//vhD3ffXX3/x6NEjbt68ydOnT9Wh5uXKlcPIyIjIyEgMDQ1xd3fH2NiY48ePZ+p1nZtu3brRpk0bChUqpFN+8d8lAQohhBBCCCHeMcHBwTx9+hRvb2/09fXp27evugRnXnh6ejJ16lQmTpxIaGgotWvXZvz48QQHB6t5ypQpw7Zt2/j666/x9vbG1NSUqlWrqsGEsLAwDAwMGD58ONevX8fe3j7Tg7OcZAzXqF27ttbE6dlp2rQp/fv3JyQkhOTkZBo3bkxYWJjWUp35oXjx4mzatIlBgwbh6emJtbU1Xbt21ZrQMzQ0lEuXLtGkSRMKFizImDFjdOpBYWRkRGhoKPHx8ZiamlKrVi2io6PV9ISEhBwn4TQzM2PVqlWMGDGCx48fY29vT8OGDRk2bBjGxsY6n+ODBw+Ii4vT2ve///2PvXv3qtteXl7AizlFnJ2d1V7Xf/75J4qi4OTkREhICP3799e5XgMDA61VS8SHS6O8OkhKfDAaNWqU7frEX3/9tVYPjXdZUlISBQsWpGj9IegZ6v4BLIQQQgjxNl3fNOqtlOPr60vFihUz9YYVQoj3Ucb92oMHD3JdQUZ6UHzAFixYwNOnT7NMs7a2/pdbI4QQQgghhBDiQyaTZH7AihcvTunSpbN8SYBCCCGEEOLdFxkZSYECBbJ8lS9f/h+te9y4cdnW3ahRo3+07rzKz+skhNCdDPEQ7z0Z4iGEEEKId8HbGuKRFw8fPuTWrVtZphkaGuLk5PSP1Z2YmEhiYmKWaaamphQvXvwfqzuv8vM6CfGhkyEe4j8rOTlZXSopQ1JSUj61RgghhBAif1lYWGBhYZEvdVtbW783vW7z8zoJIXQnQzzEe2X8+PEULFhQ6+Xg4JDfzRJCCCGEEEII8YYkQCHeK6GhoTx48EDrdeXKlfxulhBCCCHEv8rZ2fm9WOVDo9GwZs0anfN37tyZ5s2bv3Z9vr6+9OvX77WPF0LkLwlQiPeKsbExlpaWmV5CCCGEEB+SY8eO0b179/xuRq5u3Ljxzk2Y+S5btWoVn3zyCYULF0aj0RATE5Mpz7x58/D19cXS0hKNRsP9+/cz5WnatCmOjo6YmJhgb29Px44duX79eo51+/r6otFotF49e/bMMu/du3cpUaJEpvr37NmTqQyNRsPNmzfzchnEB0wCFO+olJQUfvjhBwYOHMjEiRPzuzlCCCGEEOIdYmtri5mZWX43I1d2dnYYG//3JzF//vz5Wynn8ePH1KxZM8fv/0+ePKFhw4Z8/fXX2eapW7cuP//8M3FxcaxcuZILFy7QunXrXOvv1q0bN27cUF+TJk3KMl/Xrl3x8PDItpy4uDitcooUKZJr3UKABCjeqqVLl3LkyBEARo0axZ07d167rN9++41bt24xYcIEhgwZkin9zz//ZODAgZn2b9iwgblz5752vf+U+fPnM3ToUAYMGEBYWBibN2/O7yYJIYQQQryTfH19CQkJISQkhIIFC2JjY0NYWBgvL76XlyEeU6dOxd3dHXNzcxwcHOjduzePHj3SynPgwAF8fX0xMzPDysoKf39/7t27B0B6ejqTJk2idOnSGBsb4+joyNixY3Wq+9UhHmfOnKFevXqYmppSuHBhunfvnqkt8OK7tK2tLZaWlvTs2TNPAYD09HQGDx6MtbU1dnZ2jBw5Uis9ISGBZs2aUaBAASwtLWnbtq3WCh9ZDTPp168fvr6+6nbGe9SvXz9sbGzw9/dHURRGjhyJo6MjxsbGFCtWjC+//FLndgN07NiR4cOHU79+/Wzz9OvXj6FDh1KtWrVs8/Tv359q1arh5ORE9erVGTp0KIcPHyYlJSXH+s3MzLCzs1NfWfVUnjNnDvfv3+err77KtpwiRYpolaOnJ7edQjfym/IWXb58GScnJ54+fcrjx4+xsbF57bLu3r1LkSJFMDQ0fIstfD2KopCenv5GZQQEBDBmzBimTp1K//79OXbsmBrMEUIIIYQQ2hYvXoyBgQFHjx5lxowZTJ06lQULFrxWWXp6enz33XecPXuWxYsXs2vXLgYPHqymx8TE4OfnR7ly5Th06BD79+8nMDCQtLQ04MUcYBMmTCAsLIxz584RFRVF0aJF89yOx48f4+/vj5WVFceOHWPFihXs2LGDkJAQrXw7d+4kNjaWPXv2sHz5clatWsWoUbov4bp48WLMzc05cuQIkyZNYvTo0Wzfvh14Ebxo1qwZiYmJ7N27l+3bt3Px4kXatWuX5/NZvHgxRkZGHDhwgLlz57Jy5UqmTZvGDz/8wPnz51mzZg3u7u5q/pEjR+Ls7Jznet5UYmIikZGRVK9ePdd7i8jISGxsbKhQoQKhoaE8efJEK/3cuXOMHj2aJUuW5Bh0qFixIvb29jRo0IADBw68lfMQHwZZZvQtSU5O5v79+xQtWpS4uDgcHR1zPebIkSNs2bKFpKQkihUrRps2bXB0dGTlypXs2bMHRVHo378/fn5+NGnSJM9tSklJITo6mtOnT5OWloaVlRUdO3bE2dkZRVHYs2cP+/btIykpiRIlStC+fXvs7e0BGDZsGDVr1uT06dNcu3aNwYMHc+3aNTZu3EhSUhImJibUqlWLgIAAndry6jrYGo2G27dv5/mchBBCCCE+BA4ODkybNg2NRoOrqytnzpxh2rRpdOvWLc9lvTxppLOzM99++y09e/Zk9uzZAEyaNInKlSur2wDly5cH4OHDh8yYMYOZM2fSqVMnAEqVKkXNmjXz3I6oqCiePXvGkiVLMDc3B2DmzJkEBgYyceJENehhZGREREQEZmZmlC9fntGjRzNo0CDGjBmj05N4Dw8PRowYAYCLiwszZ85k586dNGjQgJ07d3LmzBkuXbqkrgS3ZMkSypcvz7Fjx6hSpYrO5+Pi4qI1BGLjxo3Y2dlRv359DA0NcXR0xNvbW023sbGhVKlSOpf/poYMGcLMmTN58uQJ1apVY8OGDTnm//TTT3FycqJYsWKcPn2aIUOGEBcXx6pVq4AX9zsdOnRg8uTJODo6cvHixUxl2NvbM3fuXCpXrkxycjILFizA19eXI0eO8PHHH/8j5yn+WyRA8YZOnjzJsmXLSE9PJyUlha+++orU1FQABg4cSP369bOcGOj8+fNER0fTu3dvSpYsyd69e5k5cyajRo2iVatWGBsbc/Xq1WwnptHFkSNHuHr1KqNGjcLU1JS///5bjZru27ePgwcP0qtXLwoXLsy+ffuYO3cuYWFhGBi8+LU4fPgwvXr1wtbWluTkZMaPH0/fvn1xcXHhyZMn/P3332pd3377Lf7+/jl+qC9fvlztWmZtbZ1jtzQhhBBCiA9ZtWrV0Gg06raPjw/h4eGkpaWhr6+fp7J27NjB+PHj+eOPP0hKSiI1NZVnz57x5MkTzMzMiImJoU2bNlkeGxsbS3JyMn5+fm90PhlleXp6qsEJgBo1apCenk5cXJwaoPD09NSaX8PHx4dHjx5x5coVnJyccq3n1bkR7O3t1e+tsbGxODg4aC1TX65cOQoVKkRsbGyeAhSVKlXS2m7Tpg3Tp0+nZMmSNGzYkICAAAIDA9Xv1hnDdv4tgwYNomvXrly+fJlRo0YRHBzMhg0btH6vXvbypKvu7u7Y29vj5+fHhQsXKFWqFKGhobi5ufHZZ59lW6erqyuurq7qdvXq1blw4QLTpk1j6dKlb+/kxH+WDPF4Q15eXoSHh1OvXj0aN25MeHg4JUuWpE+fPoSHh2c7a/HRo0fx9vbGxcUFfX196tWrh5mZGb///vtba5u+vj7JycncvHkTRVEoWrQo1tbWwIsARZMmTShSpAj6+vrUrVuX58+fEx8frx5fu3ZtihYtip6eHnp6eujr63Pz5k2ePn2KmZmZVhe1YcOG5fqB3qFDB6ZNm8aQIUOoWrXqezGxkxBCCCHE+yw+Pp4mTZrg4eHBypUrOXHiBLNmzQL+b2JHU1PTbI/PKe1d9eowBo1Gk6fhynp6elrzfQBZzt3wcqAFXvR6iYuLY/bs2ZiamtK7d29q166d67wP/xQbGxvKlClDgwYNiI6OZtOmTRw+fFjn46tWrQrAX3/9BcCuXbtYsWIFBgYGGBgYqEErGxsbtcdKVry9vdUyhMiN9KB4S86fP0/Tpk1JS0vjypUrfPTRRznmv3fvHmXKlNHaZ2Njo05GlBt9fX11XODLXo6qe3t78+DBA5YvX869e/fw8PCgZcuWFChQgLt377Jo0SKtbnKpqala9VtZWak/Gxsb06tXL3bu3Mnq1aspXrw4TZo00YqQ6kJPTw8nJyf+/PNPVq1alWMEVgghhBDiQ/XqXF2HDx9WH2zlxYkTJ0hPTyc8PFz93vfzzz9r5fHw8GDnzp1ZzvPg4uKCqakpO3fu5H//+18ez0Kbm5sbixYt4vHjx+rN/YEDB9DT09P6Tnnq1CmePn2qBkcOHz5MgQIFtHo9vEkbrly5wpUrV9Tyzp07x/379ylXrhzwYoWUVx8axsTE6DQ3nKmpKYGBgQQGBtKnTx/Kli3LmTNn8n14Q0aAJjk5WedjMpY4zRgCvnLlSp4+faqmHzt2jC5duvDrr7/mOHQlJiZGLUOI3EiA4g2kpKQwdOhQAJ49e8acOXPUoR5Dhw6lWLFiWa60AS9u/u/evau17+7du1pBgZxYW1vz/PlzHj58iIWFhbr/zp07FC5cGHgRxGjYsCENGzYkKSmJiIgINm7cSLt27bCysqJ169bq+MKsvNr9q2zZspQtW5a0tDT27t3LDz/8wJQpU15rVt60tDStISJCCCGEEOL/JCQkMGDAAHr06MFvv/3G999/T3h4eJ7LKV26NCkpKXz//fcEBgaqEzq+LDQ0FHd3d3r37k3Pnj0xMjJi9+7dtGnTBhsbG4YMGcLgwYMxMjKiRo0a3L59m7Nnz9K1a9c8tSUoKIgRI0bQqVMnRo4cye3bt/niiy/o2LGj1qSbz58/p2vXrgwbNoz4+HhGjBhBSEjIW1kJon79+ri7uxMUFMT06dNJTU2ld+/e1KlTh8qVKwNQr149Jk+ezJIlS/Dx8WHZsmX8/vvveHl55Vj2okWLSEtLU3sKL1u2DFNTU3VYysyZM1m9ejU7d+7MtozExEQSEhK4fv068GK5TkBdDQPg5s2b3Lx5U+2VcObMGSwsLHB0dMTa2pojR45w7NgxatasiZWVFRcuXCAsLIxSpUrh4+OTZb0XLlwgKiqKgIAAChcuzOnTp+nfvz+1a9dWh8y8GoTIWLHQzc2NQoUKATB9+nQ++ugjypcvz7Nnz1iwYAG7du1i27ZtOV47ITLIEI83YGhoSHh4OF27dsXd3V0d6hEYGEh4eHi2wQmAKlWqcOzYMS5cuEBaWhq7d+/m8ePHOQYMXmZlZYWLiwsrV67kyZMnpKWl8fvvv3P69Gn1wzUuLo4rV66QlpaGkZERhoaGatS9du3abNiwQV1S6enTp5w6dYpnz55lWV9SUhIxMTE8e/YMPT09TE1NdY7g3717l5MnT/Ls2TPS09O5cOECe/bsUaPUQgghhBBCW3BwME+fPsXb25s+ffrQt29frTkCdOXp6cnUqVOZOHEiFSpUIDIykvHjx2vlKVOmDNu2bePUqVN4e3vj4+PD2rVr1bkTwsLCGDhwIMOHD8fNzY127dq91oMmMzMztm7dSmJiIlWqVKF169b4+fkxc+ZMrXx+fn64uLhQu3Zt2rVrR9OmTTMtFfq6NBoNa9euxcrKitq1a1O/fn1KlizJTz/9pObx9/cnLCyMwYMHU6VKFR4+fEhwcHCuZRcqVIj58+dTo0YNPDw82LFjB+vXr1cfHt65c4cLFy7kWMa6devw8vKicePGALRv3x4vLy+toNLcuXPx8vJSJ0ytXbs2Xl5erFu3DnhxnVetWoWfnx+urq507doVDw8P9u7di7Gxsda1WLRoEfBiYtIdO3bwySefULZsWQYOHEirVq1Yv369Dlf1/zx//pyBAwfi7u5OnTp1OHXqFDt27Hgrc5iID4NGeXWAlcizqKgonJycqFGjBmPHjqVr165qhDMnhw8fZuvWrTx48EBdxSMjwrphw4ZcJ8l88OABq1evJi4ujufPn2Nra0tAQIAa5Tx27BibNm3i/v37GBoaUrZsWdq3b4+ZmRmKorBv3z727dvHvXv3MDY2plSpUnz22WeYmJgwbNgwWrduTcWKFdW6IiIiuHr1KoqiUKRIEVq0aKF2xxszZgz+/v5aMxVnyBhOcv36dRRFoWDBgnh7e+Pv7/9WIuFJSUkULFiQovWHoGdonPsBQgghhBD/gOubdF8KMye+vr5UrFiR6dOnv5Xy8ktycjImJiZs376d+vXr53dzxEsuXbpEmTJlOHfuHC4uLvndHPEfl3G/9uDBAywtLXPMKwEK8d6TAIUQQggh3gUSoPg/SUlJrFq1Sl1FokSJEvndJPGSWbNmce7cOXXCVCH+SXkJUMgcFEIIIYQQQrynIiMj6dGjR5ZpTk5OnD179h+re9y4cYwbNy7LtCpVqnDu3DkmTpz41oITCQkJOQ4RPnfuHI6Ojm+lrv+6Pn365HcThMiS9KAQ7z3pQSGEEEKId8Hb6kGRFw8fPlTnFHuVoaGhOnz4n5CYmEhiYmKWaaamphQvXvyt1peamkp8fHy26c7Ozuq8GUKId4f0oBBCCCGEEOIDYGFhobWi27/J2toaa2vrf60+AwMDSpcu/a/VJ4T498kqHkIIIYQQQgghhMh3EqAQQgghhBBCCCFEvpMAhRBCCCGEEEIIIfKdzEEh/jP+XPl1rpOuCCGEEEIIIYR4N0kPCiGEEEIIIYQQQuQ7CVAIIYQQQgghhBAi30mAQgghhBBCCCGEEPlOAhRCCCGEEEIIIYTIdxKgEEIIIYQQQgghRL6TAIUQQgghhBBCCCHynQQohBBCCCGEEEIIke8kQCGEEEIIIYQQQoh8JwEKIYQQQgghhBBC5DuD/G6AEG/Lxz3no29kmt/NEEKIbMUt6p3fTRBCCCGEeGdJDwohhBBCCCGEEELkOwlQCCGEEEIIIYQQIt9JgEIIIYQQQgghhBD5TgIUHxBnZ2emT5+uc/5nz57RuXNn3N3dMTAwoHnz5lnm27NnDx9//DHGxsaULl2aRYsWaaXPmTMHDw8PLC0tsbS0xMfHh82bN7/+iQghhBBCCCGE+M+RAIXIVlpaGqampnz55ZfUr18/yzyXLl2icePG1K1bl5iYGPr168f//vc/tm7dquYpUaIEEyZM4MSJExw/fpx69erRrFkzzp49+2+dihBCfHDyGpQWudNoNKxZsya/myGEEEL8Z0mAQkdbtmyhZs2aFCpUiMKFC9OkSRMuXLigpl+9epUOHTpgbW2Nubk5lStX5siRI2r6+vXrqVKlCiYmJtjY2NCiRQs17d69ewQHB2NlZYWZmRmNGjXi/PnzavrIkSOpWLGiVnumT5+Os7Ozut25c2eaN2/OlClTsLe3p3DhwvTp04eUlBQAfH19uXz5Mv3790ej0aDRaHI9Z3Nzc+bMmUO3bt2ws7PLMs/cuXP56KOPCA8Px83NjZCQEFq3bs20adPUPIGBgQQEBODi4kKZMmUYO3YsBQoU4PDhw7m2QQghxOs5duwY3bt3z+9miHfI2LFjqV69OmZmZhQqVCjLPMeOHcPPz49ChQphZWWFv78/p06dyrXsQ4cOUa9ePczNzbG0tKR27do8ffpUTW/atCmOjo6YmJhgb29Px44duX79eo5lOjs7o9FoiI6OzpRWvnx5NBpNpl6bQggh3m8SoNDR48ePGTBgAMePH2fnzp3o6enRokUL0tPTefToEXXq1OHatWusW7eOU6dOMXjwYNLT0wHYuHEjLVq0ICAggJMnT7Jz5068vb3Vsjt37szx48dZt24dhw4dQlEUAgIC1OCCrnbv3s2FCxfYvXs3ixcvZtGiReo/7lWrVlGiRAlGjx7NjRs3uHHjxlu5LocOHcrUu8Lf359Dhw5lmT8tLY3o6GgeP36Mj4/PW2mDEEKIzGxtbTEzM8vvZrx1z58/z+8m/Ovy+n0gO8+fP6dNmzb06tUry/RHjx7RsGFDHB0dOXLkCPv378fCwgJ/f/8c23Do0CEaNmzIJ598wtGjRzl27BghISHo6f3f18y6devy888/ExcXx8qVK7lw4QKtW7fOtc0ODg78+OOPWvsOHz7MzZs3MTc31/HMhRBCvC8kQKGjVq1a0bJlS0qXLk3FihWJiIjgzJkznDt3jqioKG7fvs2aNWuoWbMmpUuXpm3btuoN+NixY2nfvj2jRo3Czc0NT09PQkNDATh//jzr1q1jwYIF1KpVC09PTyIjI7l27Vqeu5FaWVkxc+ZMypYtS5MmTWjcuDE7d+4EwNraGn19fSwsLLCzs8u2R0Re3bx5k6JFi2rtK1q0KElJSVpPTs6cOUOBAgUwNjamZ8+erF69mnLlyr2VNgghxIfG19eXkJAQQkJCKFiwIDY2NoSFhaEoiponL0M8pk6diru7O+bm5jg4ONC7d28ePXqklefAgQP4+vpiZmamPlm/d+8eAOnp6UyaNInSpUtjbGyMo6MjY8eOzbXe6tWrM2TIEK19t2/fxtDQkH379qnnMWbMGIKDg7G0tFR7hQwZMoQyZcpgZmZGyZIlCQsL07qJzuh9GBERgaOjIwUKFKB3796kpaUxadIk7OzsKFKkiE7tfNmdO3do0aIFZmZmuLi4sG7dOq30vXv34u3tjbGxMfb29gwdOpTU1FQ1Pav3pWLFiowcOVLd1mg0zJkzh6ZNm2Jubs7YsWO5d+8eQUFB2NraYmpqiouLS6Yb99yMGjWK/v374+7unmX6H3/8QWJiIqNHj8bV1ZXy5cszYsQIbt26xeXLl7Mtt3///nz55ZcMHTqU8uXL4+rqStu2bTE2NtbKU61aNZycnKhevTpDhw7l8OHDuQZfgoKC2Lt3L1euXFH3RUREEBQUhIGBQZ7OXwghxLtPAhQ6On/+PB06dKBkyZJYWlqqwysSEhKIiYnBy8sLa2vrLI+NiYnBz88vy7TY2FgMDAyoWrWquq9w4cK4uroSGxubpzaWL18efX19ddve3p6///47T2X8U1xdXYmJieHIkSP06tWLTp06ce7cufxulhBCvLcWL16MgYEBR48eZcaMGUydOpUFCxa8Vll6enp89913nD17lsWLF7Nr1y4GDx6spmf8HytXrhyHDh1i//79BAYGkpaWBkBoaCgTJkwgLCxMDdy/GrzOSlBQENHR0VqBlZ9++olixYpRq1Ytdd+UKVPw9PTk5MmThIWFAWBhYcGiRYs4d+4cM2bMYP78+VrDCwEuXLjA5s2b2bJlC8uXL2fhwoU0btyYq1evsnfvXiZOnMiwYcO0hmTmZtSoUbRt25bTp08TEBBAUFAQiYmJAFy7do2AgACqVKnCqVOnmDNnDgsXLuTbb7/VufwMI0eOpEWLFpw5c4YuXbqo13bz5s3ExsYyZ84cbGxs1Py+vr507tw5z/W8zNXVlcKFC7Nw4UKeP3/O06dPWbhwIW5ublrDSl/2999/c+TIEYoUKUL16tUpWrQoderUYf/+/dnWk5iYSGRkJNWrV8fQ0DDHNhUtWhR/f38WL14MwJMnT/jpp5/o0qXLa5+nEEKId5eEnnUUGBiIk5MT8+fPp1ixYqSnp1OhQgWeP3+Oqalpjsfmlp4bPT09rS9vkHV3z1f/yWs0GnWYyT/Fzs6OW7duae27desWlpaWWudtZGRE6dKlAahUqRLHjh1jxowZ/PDDD/9o+4QQ4r/KwcGBadOmodFocHV15cyZM0ybNo1u3brluax+/fqpPzs7O/Ptt9/Ss2dPZs+eDcCkSZOoXLmyug0vguIADx8+ZMaMGcycOZNOnToBUKpUKWrWrJlrvW3btqVfv37s379fDUhERUXRoUMHrbmS6tWrx8CBA7WOHTZsmFabv/rqK6Kjo7UCK+np6URERGBhYUG5cuWoW7cucXFxbNq0CT09PVxdXZk4cSK7d+/WelCQk86dO9OhQwcAxo0bx3fffcfRo0dp2LAhs2fPxsHBgZkzZ6LRaChbtizXr19nyJAhDB8+XGvIQ24+/fRTPv/8c3U7ISEBLy8vKleurJ7zyxwdHbG3t9e5/KxYWFiwZ88emjdvzpgxYwBwcXFh69at2fZWuHjxIvAioDJlyhQqVqzIkiVL8PPz4/fff8fFxUXNO2TIEGbOnMmTJ0+oVq0aGzZs0KldXbp0YeDAgXzzzTf88ssvlCpVKtPcXEIIIf4bpAeFDu7evUtcXBzDhg3Dz88PNzc3tVsrgIeHBzExMeoTlFd5eHioQy1e5ebmRmpqqtbTm4z6MoZA2NracvPmTa0gRUxMTJ7Pw8jISH3a9bb4+PhkOrft27fnOr9Eeno6ycnJb7UtQgjxIalWrZrWTbyPjw/nz59/rc/5HTt24OfnR/HixbGwsKBjx47cvXuXJ0+eALn3BExOTs42PSe2trZ88sknREZGAi9Whjp06BBBQUFa+TJuyl/2008/UaNGDezs7ChQoADDhg0jISFBK4+zszMWFhbqdtGiRSlXrpxWoKBo0aJ56m3o4eGh/pwxIWTG8bGxsfj4+Gi9LzVq1ODRo0dcvXpV5zog8zn36tWL6OhoKlasyODBgzl48KBW+pIlSxg/fnye6njV06dP6dq1KzVq1ODw4cMcOHCAChUq0LhxY61hmy/LeBDSo0cPPv/8c7y8vJg2bRqurq5ERERo5R00aBAnT55k27Zt6OvrExwcnOkBTFYaN27Mo0eP2LdvHxEREdJ7Qggh/sMkQKEDKysrChcuzLx58/jrr7/YtWsXAwYMUNM7dOiAnZ0dzZs358CBA1y8eJGVK1eqE0WOGDGC5cuXM2LECGJjYzlz5gwTJ04EXjyZaNasGd26dWP//v2cOnWKzz77jOLFi9OsWTPgRbfN27dvM2nSJC5cuMCsWbPYvHlzns/D2dmZffv2ce3aNe7cuaPTMefOnVODLw8ePCAmJkYrONKzZ08uXrzI4MGD+eOPP5g9ezY///wz/fv3V/OEhoayb98+4uPjOXPmDKGhoezZsyfTF1AhhBD/vvj4eJo0aYKHhwcrV67kxIkTzJo1C/i/CSlz6gn4pr0Eg4KC+OWXX0hJSSEqKgp3d/dMcyS8OhliRhAjICCADRs2cPLkSb755ptME2hm1bPwTXsbvunxuvaKfPWcGzVqpK7Gdf36dfz8/Pjqq690rlcXUVFRxMfH8+OPP1KlShWqVatGVFQUly5dYu3atVkek9Fr49V5pdzc3DIFjGxsbChTpgwNGjQgOjqaTZs26bSil4GBAR07dmTEiBEcOXJEvj8IIcR/mAQodKCnp0d0dDQnTpygQoUK9O/fn8mTJ6vpRkZGbNu2jSJFihAQEIC7uzsTJkxQ54Pw9fVlxYoVrFu3jooVK1KvXj2OHj2qHv/jjz9SqVIlmjRpgo+PD4qisGnTJvVLkJubG7Nnz2bWrFl4enpy9OjR1/pSMnr0aOLj4ylVqhS2trY6HRMQEICXlxfr169nz549eHl54eXlpaZ/9NFHbNy4ke3bt+Pp6Ul4eDgLFizA399fzfP3338THByMq6srfn5+HDt2jK1bt9KgQYM8n4MQQogXXp034fDhw7i4uGjNRaSLEydOkJ6eTnh4ONWqVaNMmTKZln/MqSegi4sLpqam2abnplmzZjx79owtW7YQFRWl083nwYMHcXJy4ptvvqFy5cq4uLjkOInjv8XNzU1djSvDgQMHsLCwoESJEsCLXiMvr6SVlJTEpUuXdCrf1taWTp06sWzZMqZPn868efPeavufPHmCnp6eVg+QjO3sgjDOzs4UK1aMuLg4rf1//vknTk5O2daVUZ6uvSm7dOnC3r17adasGVZWVjodI4QQ4v0jc1DoqH79+pkmdXz5C4iTkxO//PJLtse3bNmSli1bZplmZWXFkiVLcqy/Z8+e9OzZU2vf119/rf6c1Trgr84SXq1aNZ3WMn9ZfHx8rnl8fX05efJktukLFy7MU51CCCFyl5CQwIABA+jRowe//fYb33//PeHh4Xkup3Tp0qSkpPD9998TGBjIgQMHmDt3rlae0NBQ3N3d6d27Nz179sTIyIjdu3fTpk0bbGxsGDJkCIMHD8bIyIgaNWpw+/Ztzp49S9euXXOt39zcnObNmxMWFkZsbKw6v0NOXFxcSEhIIDo6mipVqrBx40ZWr16d53N/23r37s306dP54osvCAkJIS4ujhEjRjBgwAB1WEm9evVYtGgRgYGBFCpUiOHDh+sUVBo+fDiVKlWifPnyJCcns2HDBtzc3NT04OBgihcvnuMwj4SEBBITE0lISCAtLU3tEVm6dGkKFChAgwYNGDRoEH369OGLL74gPT2dCRMmYGBgQN26dYEXE4H6+fmxZMkSvL290Wg0DBo0iBEjRuDp6UnFihVZvHgxf/zxh/q96MiRIxw7doyaNWtiZWXFhQsXCAsLo1SpUjovOe7m5sadO3f+k0vnCiGE+D8SoBBCCCHeQ8HBwTx9+hRvb2/09fXp27evugRnXnh6ejJ16lQmTpxIaGgotWvXZvz48QQHB6t5ypQpw7Zt2/j666/x9vbG1NSUqlWrqsGEsLAwDAwMGD58ONevX8fe3j5TUD0nGcM1ateujaOjY675mzZtSv/+/QkJCSE5OZnGjRsTFhamtVRnfihevDibNm1i0KBBeHp6Ym1tTdeuXbUm9AwNDeXSpUs0adKEggULMmbMGJ16UBgZGREaGkp8fDympqbUqlWL6OhoNT0hISHXSTiHDx+uroYBqD0id+/eja+vL2XLlmX9+vWMGjUKHx8f9PT08PLyYsuWLepQjpSUFOLi4tT5SeDFJKvPnj2jf//+JCYm4unpyfbt2ylVqhQAZmZmrFq1ihEjRvD48WPs7e1p2LAhw4YN01qKNDeFCxfWOa8QQoj3k0bRZXYi8Z/UqFEjfv311yzTvv76a60eGu+ypKQkChYsSKkOU9A3erOx0EII8U+KW9T7rZTj6+tLxYoVM/WUE0IIIYR412Tcrz148ABLS8sc80oPig/YggULsp2V29ra+l9ujRBCCCGEEEKID5lMkvkBK168OKVLl87yJQEKIYT4b4iMjKRAgQJZvsqXL/+P1j1u3Lhs627UqNE/Wnde5ed1EkIIIcQLMsRDvFeSk5MzzfidlJSEg4ODDPEQQrzz3tYQj7x4+PAht27dyjLN0NAwx5UW3lRiYiKJiYlZppmamlK8ePF/rO68ys/rJIQQQvyXyRAP8Z81fvx4Ro0ald/NEEKI94aFhQUWFhb5Ure1tfV70yMvP6+TEEIIIV6QIR7ivRIaGsqDBw+0XleuXMnvZgkhxDvH2dn5vZhEU6PRsGbNGp3zd+7cmebNm792fb6+vvTr1++1jxdCCCHEP0cCFOK9YmxsjKWlZaaXEEIIbceOHXutZUf/bTdu3Hjn5qN4V6WkpDBkyBDc3d0xNzenWLFiBAcHc/369Ux5N27cSNWqVTE1NcXKyirXoI5Go8nyNXnyZDXP2LFjqV69OmZmZhQqVCjbshYtWoSHhwcmJiYUKVKEPn36vO4pCyGE+MDIEA8hhBDiP8jW1ja/m6ATOzu7/G7Cv+L58+cYGRm9URlPnjzht99+IywsDE9PT+7du0ffvn1p2rQpx48fV/OtXLmSbt26MW7cOOrVq0dqaiq///57jmXfuHFDa3vz5s107dqVVq1aaZ1DmzZt8PHxYeHChVmWM3XqVMLDw5k8eTJVq1bl8ePHxMfHv/5JCyGE+KBID4p3VEpKCj/88AMDBw5k4sSJ+d0cIYQQ7xBfX19CQkIICQmhYMGC2NjYEBYWxsvzXudliMfUqVPVp/IODg707t2bR48eaeU5cOAAvr6+mJmZYWVlhb+/P/fu3QMgPT2dSZMmUbp0aYyNjXF0dGTs2LE61f3qEI8zZ85Qr149TE1NKVy4MN27d8/UFoBRo0Zha2uLpaUlPXv25Pnz5zrVl9HewYMHY21tjZ2dHSNHjtRKT0hIoFmzZhQoUABLS0vatm2rNYFmVsNM+vXrh6+vr7qd8R7169cPGxsb/P39URSFkSNH4ujoiLGxMcWKFePLL7/Uud0FCxZk+/bttG3bFldXV6pVq8bMmTM5ceIECQkJAKSmptK3b18mT55Mz549KVOmDOXKlaNt27Y5lm1nZ6f1Wrt2LXXr1qVkyZJqnlGjRtG/f3/c3d2zLOPevXsMGzaMJUuW8Omnn1KqVCk8PDxo2rSpzucohBDiwyYBirdo6dKlHDlyBHjxT/zOnTuvXdZvv/3GrVu3mDBhAkOGDMmU/ueffzJw4MBM+zds2MDcuXNfu95/wsOHD/nxxx/5+uuvGTBgAOPGjeP06dP53SwhhHivLV68GAMDA44ePcqMGTOYOnUqCxYseK2y9PT0+O677zh79iyLFy9m165dDB48WE2PiYnBz8+PcuXKcejQIfbv309gYCBpaWnAi/mBJkyYQFhYGOfOnSMqKoqiRYvmuR2PHz/G398fKysrjh07xooVK9ixYwchISFa+Xbu3ElsbCx79uxh+fLlrFq1Kk8TKC9evBhzc3OOHDnCpEmTGD16NNu3bwdeBC+aNWtGYmIie/fuZfv27Vy8eJF27drl+XwWL16MkZERBw4cYO7cuaxcuZJp06bxww8/cP78edasWaN1sz9y5EicnZ3zVMeDBw/QaDTqkIvffvuNa9euoaenh5eXF/b29jRq1CjXHhQvu3XrFhs3bqRr1655asv27dtJT0/n2rVruLm5UaJECdq2bStzRQkhhNCZDPF4iy5fvkyDBg14+vQpjx8/xsbG5rXLunv3LkWKFMHQ0PAttvD1KIqCoijo6b1ePCs5OZkSJUrQvHlzChYsyO+//05ERARDhgzB3t7+LbdWCCE+DA4ODkybNg2NRoOrqytnzpxh2rRpdOvWLc9lvTxppLOzM99++y09e/Zk9uzZAEyaNInKlSur2wDly5cHXgShZ8yYwcyZM+nUqRMApUqVombNmnluR1RUFM+ePWPJkiWYm5sDMHPmTAIDA5k4caIa9DAyMiIiIgIzMzPKly/P6NGjGTRoEGPGjNHpf5WHhwcjRowAwMXFhZkzZ7Jz504aNGjAzp07OXPmDJcuXcLBwQGAJUuWUL58eY4dO0aVKlV0Ph8XFxcmTZqkbm/cuBE7Ozvq16+PoaEhjo6OeHt7q+k2NjaUKlVK5/KfPXvGkCFD6NChgzof08WLF4EXwY6pU6fi7OxMeHg4vr6+/PnnnzqtqrJ48WIsLCxo2bKlzm3JqDs9PZ1x48YxY8YMChYsyLBhw2jQoAGnT59+4yEuQggh/vskQPGWJCcnc//+fYoWLUpcXByOjo65HnPkyBG2bNlCUlISxYoVo02bNjg6OrJy5Ur27NmDoij0798fPz8/mjRpkuc2paSkEB0dzenTp0lLS8PKyoqOHTvi7OyMoijs2bOHffv2kZSURIkSJWjfvr0aMBg2bBg1a9bk9OnTXLt2jcGDB3Pt2jU2btxIUlISJiYm1KpVi4CAgFzbYWNjQ4MGDdRtDw8PihYtyqVLlyRAIYQQr6latWpoNBp128fHh/DwcNLS0tDX189TWTt27GD8+PH88ccfJCUlkZqayrNnz3jy5AlmZmbExMTQpk2bLI+NjY0lOTkZPz+/NzqfjLI8PT3V4ARAjRo1SE9PJy4uTg1QeHp6YmZmpubx8fHh0aNHXLlyBScnp1zr8fDw0Nq2t7fn77//Vtvg4OCgBicAypUrR6FChYiNjc1TgKJSpUpa223atGH69OmULFmShg0bEhAQQGBgIAYGL76OZQzb0UVKSgpt27ZFURTmzJmj7k9PTwfgm2++UeeP+PHHHylRogQrVqygR48euZYdERFBUFAQJiYmOrXl5bpTUlL47rvv+OSTTwBYvnw5dnZ27N69G39//zyVJ4QQ4sMjAYo3dPLkSZYtW6b+U/7qq69ITU0FYODAgdSvXz/L2cnPnz9PdHQ0vXv3pmTJkuzdu5eZM2cyatQoWrVqhbGxMVevXqVnz56v3bYjR45w9epVRo0ahampKX///bfaI2Pfvn0cPHiQXr16UbhwYfbt28fcuXMJCwtTvygdPnyYXr16YWtrS3JyMuPHj6dv3764uLjw5MkT9cscwLfffou/v79OX9wePnzIzZs3KV68+GufmxBCiLcjPj6eJk2a0KtXL8aOHYu1tTX79++na9euPH/+HDMzM0xNTbM9Pqe0d9WrvRM1Go16Y68LPT09rfk+4EXA4FUvB1rgRa+XuLg4duzYwfbt2+nduzeTJ09m7969eeoxmRGcuHz5Mrt27dJazSoj8F+uXDl1n7GxMSVLllTnqcjJr7/+SlxcHD/99JPO7cmpbltbW2xsbHSqWwghhJA5KN6Ql5cX4eHh1KtXj8aNGxMeHk7JkiXp06cP4eHh2S6ddvToUby9vXFxcUFfX5969ephZmaWpzGiudHX1yc5OZmbN2+iKApFixZVu3bu27ePJk2aUKRIEfT19albty7Pnz/Xmmm7du3aFC1aFD09PfT09NDX1+fmzZs8ffoUMzMzrXGyw4YN0yk4kZqaysKFC/n44491esolhBAiaxlzHmU4fPiw+j8lL06cOEF6ejrh4eFUq1aNMmXKZFq20sPDg507d2Z5vIuLC6amptmm54WbmxunTp3i8ePH6r4DBw6gp6eHq6uruu/UqVM8ffpU3T58+DAFChTQ6vXwJm24cuWK1rwJ586d4/79++qNt62tbaZVL2JiYnQq39TUlMDAQL777jv27NnDoUOHOHPmjM7tywhOnD9/nh07dlC4cGGt9EqVKmFsbExcXJzWMfHx8Tr93124cCGVKlXC09NT5zZlqFGjBoBW3YmJidy5c0f+5wshhNCJ9KB4S86fP0/Tpk1JS0vjypUrfPTRRznmv3fvHmXKlNHaZ2Njo86Inht9fX11crKXvdy119vbmwcPHrB8+XLu3buHh4cHLVu2pECBAty9e5dFixZpjdVNTU3Vqt/Kykr92djYmF69erFz505Wr15N8eLFadKkidYXxtykpqYyf/58jIyMCAoK0vk4IYQQmSUkJDBgwAB69OjBb7/9xvfff094eHieyyldujQpKSl8//33BAYGqhM6viw0NBR3d3d69+5Nz549MTIyYvfu3bRp0wYbGxuGDBnC4MGDMTIyokaNGty+fZuzZ8/meZLFoKAgRowYQadOnRg5ciS3b9/miy++oGPHjlqTbj5//pyuXbsybNgw4uPjGTFiBCEhIa89V9LL6tevj7u7O0FBQUyfPp3U1FR69+5NnTp1qFy5MgD16tVj8uTJLFmyBB8fH5YtW8bvv/+Ol5dXjmUvWrSItLQ0qlatipmZGcuWLcPU1FS9eZ85cyarV6/ONtiTkpJC69at+e2339iwYQNpaWncvHkTAGtra4yMjNRVTUaMGIGDgwNOTk5MnjwZINthOhmSkpJYsWJFtr9HCQkJJCYmkpCQQFpamhqUKV26NAUKFKBMmTI0a9aMvn37Mm/ePCwtLQkNDaVs2bLUrVs3x7qFEEIIkADFG0lJSWHo0KHAi4mq5syZow71GDp0KMWKFctypQ14cfN/9+5drX13797VCgrkxNramufPn/Pw4UMsLCzU/Xfu3FGfpujr69OwYUMaNmxIUlISERERbNy4kXbt2mFlZUXr1q3VSc6y8vLYZoCyZctStmxZ0tLS2Lt3Lz/88ANTpkzR6QthamoqCxYsIC0tjR49eqjDSIQQQrye4OBgnj59ire3N/r6+vTt25fu3bvnuRxPT0+mTp3KxIkTCQ0NpXbt2owfP57g4GA1T5kyZdi2bRtff/013t7emJqaUrVqVTp06ACgDg8cPnw4169fx97e/rWGKJqZmbF161b69u1LlSpVMDMzo1WrVkydOlUrn5+fHy4uLtSuXZvk5GQ6dOiQaanQ16XRaFi7di1ffPEFtWvXRk9Pj4YNG/L999+refz9/QkLC2Pw4ME8e/aMLl26EBwcnGtPiEKFCjFhwgQGDBhAWloa7u7urF+/Xv2/fefOHS5cuJDt8deuXWPdunUAVKxYUStt9+7d6jKnkydPxsDAgI4dO/L06VOqVq3Krl27tL5jODs707lzZ63rFh0djaIo6vv6quHDh7N48WJ1OyMg83LdS5YsoX///jRu3Bg9PT3q1KnDli1b3olJv4UQQrz7NMqrgyhFnp07d459+/bRs2dP1q9fj5GRUa4TQf3555/MnTuXPn364OzszL59+9i8eTMjR47EzMyMDRs25DoHxbRp07CysqJt27YYGxsTGxvL/PnzGThwII6OjsTFxWFmZkaxYsVISUlh4cKFFC1alNatW7N7926OHj1K586dKVq0KE+fPuXPP//E1dUVExMThg0bRuvWrdUvQElJSVy8eJGyZctibGzM4cOHWbVqFRMnTsw1QJGWlsb8+fNJTk6md+/eb/1LSlJSEgULFqRUhynoG71/Y6GFEB+OuEW930o5vr6+VKxYkenTp7+V8vJLcnIyJiYmbN++nfr16+d3cz4YT548oXDhwmzevFkNLAghhBD/lIz7tQcPHmjNm5QVeYz9FsTExKjrmJ8+fVqnLq1lypShbdu2LFu2jAcPHlCsWDH69OmjNSt5brp06cLq1asZM2YMz58/x9bWlq5du6oriCQlJREdHc39+/cxNDSkbNmy6qobvr6+6OnpMW/ePO7du4exsTGlSpXKdsiGoijs3r2bpUuXoigKRYoU4X//+58anBgzZgz+/v5ay6VluHDhAqdPn8bQ0JDBgwer+/39/WnYsKHO5yuEEOK/IykpiVWrVqGnp0fZsmXzuzkflN27d1OvXj0JTgghhHjnSA8K8d6THhRCiPdFfvSgiIyMzHZpSScnJ86ePftW2pSVcePGMW7cuCzTqlSpwrlz5xg0aBBfffXVW6kvISFBawWJV507d06nZcCFEEII8fbkpQeFBCjEe08CFEKI98XbClDkxcOHD7l161aWaYaGhv/o6gqJiYkkJiZmmWZqavrWl5tOTU3VWo3qVc7OzjIHkhBCCPEvkyEeQgghhADAwsJCazLlf5O1tbW6vPW/wcDAgNKlS/9r9QkhhBDi7Xrz9biEEEIIIYQQQggh3pAEKIQQQgghhBBCCJHvJEAhhBBCCCGEEEKIfCdzUIj/jN/mdst10hUhhBBCCCGEEO8m6UEhhBBCCCGEEEKIfCcBCiGEEEIIIYQQQuQ7CVAIIYQQQgghhBAi30mAQgghhBBCCCGEEPlOAhRCCCGEEEIIIYTIdxKgEEIIIYQQQgghRL6TAIUQQgghhBBCCCHynQQohBBCCCGEEEIIke8kQCGEEEIIIYQQQoh8Z5DfDRDibakftgIDY7P8boYQH6yDkzrkdxOEEEIIIcR7THpQCCGEEEIIIYQQIt9JgEIIIYQQQgghhBD5TgIUQgghhBBCCCGEyHcSoPhAODs7M336dJ3zP3v2jM6dO+Pu7o6BgQHNmzfPlOfGjRt8+umnlClTBj09Pfr165dlWffv36dPnz7Y29tjbGxMmTJl2LRp0+udiBBCCCGEEEKI/yQJUIgspaWlYWpqypdffkn9+vWzzJOcnIytrS3Dhg3D09MzyzzPnz+nQYMGxMfH88svvxAXF8f8+fMpXrz4P9l8IcR/XF6DriJ3Go2GNWvW5HczhBBCCPEBkwCFDrZs2ULNmjUpVKgQhQsXpkmTJly4cEFNv3r1Kh06dMDa2hpzc3MqV67MkSNH1PT169dTpUoVTExMsLGxoUWLFmravXv3CA4OxsrKCjMzMxo1asT58+fV9JEjR1KxYkWt9kyfPh1nZ2d1u3PnzjRv3pwpU6Zgb29P4cKF6dOnDykpKQD4+vpy+fJl+vfvj0ajQaPR5HrO5ubmzJkzh27dumFnZ5dlHmdnZ2bMmEFwcDAFCxbMMk9ERASJiYmsWbOGGjVq4OzsTJ06dbINaAghhC6OHTtG9+7d87sZ4h0yduxYqlevjpmZGYUKFcox7927dylRogQajYb79+/nmDcxMZGgoCAsLS0pVKgQXbt25dGjR1p5tm7dSrVq1bCwsMDW1pZWrVoRHx+fY7kZ/48PHz6stT85OZnChQuj0WjYs2dPjmUIIYQQ/zUSoNDB48ePGTBgAMePH2fnzp3o6enRokUL0tPTefToEXXq1OHatWusW7eOU6dOMXjwYNLT0wHYuHEjLVq0ICAggJMnT7Jz5068vb3Vsjt37szx48dZt24dhw4dQlEUAgIC1OCCrnbv3s2FCxfYvXs3ixcvZtGiRSxatAiAVatWUaJECUaPHs2NGze4cePGW7s2uVm3bh0+Pj706dOHokWLUqFCBcaNG0daWtq/1gYhxH+Pra0tZmb/vWWFnz9/nt9N+Nfl9f9ddp4/f06bNm3o1atXrnm7du2Kh4eHTuUGBQVx9uxZtm/fzoYNG9i3b59WcOzSpUs0a9aMevXqERMTw9atW7lz5w4tW7bMtWwHBwd+/PFHrX2rV6+mQIECOrVNCCGE+K+RAIUOWrVqRcuWLSldujQVK1YkIiKCM2fOcO7cOaKiorh9+zZr1qyhZs2alC5dmrZt2+Lj4wO8eKLTvn17Ro0ahZubG56enoSGhgJw/vx51q1bx4IFC6hVqxaenp5ERkZy7dq1PHeztbKyYubMmZQtW5YmTZrQuHFjdu7cCYC1tTX6+vpYWFhgZ2eXbY+If8LFixf55ZdfSEtLY9OmTYSFhREeHs633377r7VBCPF+8fX1JSQkhJCQEAoWLIiNjQ1hYWEoiqLmycsQj6lTp+Lu7o65uTkODg707t070xPwAwcO4Ovri5mZGVZWVvj7+3Pv3j0A0tPTmTRpEqVLl8bY2BhHR0fGjh2ba73Vq1dnyJAhWvtu376NoaEh+/btU89jzJgxBAcHY2lpqd74DhkyhDJlymBmZkbJkiUJCwvTupHP6F0XERGBo6MjBQoUoHfv3qSlpTFp0iTs7OwoUqSITu182Z07d2jRogVmZma4uLiwbt06rfS9e/fi7e2NsbEx9vb2DB06lNTUVDU9q/elYsWKjBw5Ut3WaDTMmTOHpk2bYm5uztixY7l37x5BQUHY2tpiamqKi4tLphv33IwaNYr+/fvj7u6eY745c+Zw//59vvrqq1zLjI2NZcuWLSxYsICqVatSs2ZNvv/+e6Kjo7l+/ToAJ06cIC0tjW+//ZZSpUrx8ccf89VXXxETE5Nr8KVTp05ER0fz9OlTdV9ERASdOnXS4YyFEEKI/x4JUOjg/PnzdOjQgZIlS2JpaakOr0hISCAmJgYvLy+sra2zPDYmJgY/P78s02JjYzEwMKBq1arqvsKFC+Pq6kpsbGye2li+fHn09fXVbXt7e/7+++88lfFPSE9Pp0iRIsybN49KlSrRrl07vvnmG+bOnZvfTRNCvMMWL16MgYEBR48eZcaMGUydOpUFCxa8Vll6enp89913nD17lsWLF7Nr1y4GDx6spmd8TpcrV45Dhw6xf/9+AgMD1Z5eoaGhTJgwgbCwMDUwXbRo0VzrDQoKIjo6Wiuw8tNPP1GsWDFq1aql7psyZQqenp6cPHmSsLAwACwsLFi0aBHnzp1jxowZzJ8/n2nTpmmVf+HCBTZv3syWLVtYvnw5CxcupHHjxly9epW9e/cyceJEhg0bpjXkMDejRo2ibdu2nD59moCAAIKCgkhMTATg2rVrBAQEUKVKFU6dOsWcOXNYuHDhawWcR44cSYsWLThz5gxdunRRr+3mzZuJjY1lzpw52NjYqPl9fX3p3Llznut51blz5xg9ejRLlixBTy/3r0CHDh2iUKFCVK5cWd1Xv3599PT01OtaqVIl9PT0+PHHH0lLS+PBgwcsXbqU+vXrY2homGP5lSpVwtnZmZUrVwIvvlfs27ePjh07vsFZCiGEEO8vg/xuwPsgMDAQJycn5s+fT7FixUhPT6dChQo8f/4cU1PTHI/NLT03enp6Wl9uIevusK9+CdJoNOowk/xkb2+PoaGhVvDEzc2Nmzdv8vz5c4yMjPKxdUKId5WDgwPTpk1Do9Hg6urKmTNnmDZtGt26dctzWS+vMOTs7My3335Lz549mT17NgCTJk2icuXK6ja8CPoCPHz4kBkzZjBz5kz1qXapUqWoWbNmrvW2bduWfv36sX//fjUgERUVRYcOHbTmAqpXrx4DBw7UOnbYsGFabf7qq6+Ijo7WCqykp6cTERGBhYUF5cqVo27dusTFxbFp0yb09PRwdXVl4sSJ7N69WysQnpPOnTvToUMHAMaNG8d3333H0aNHadiwIbNnz8bBwYGZM2ei0WgoW7Ys169fZ8iQIQwfPlynG/4Mn376KZ9//rm6nZCQgJeXlxoIeHmeJQBHR0fs7e11Lj8rycnJdOjQgcmTJ+Po6MjFixdzPebmzZsUKVJEa5+BgQHW1tbcvHkTgI8++oht27bRtm1bevToQVpaGj4+PjqvVtWlSxciIiL47LPPWLRoEQEBAdja2ub9BIUQQoj/AOlBkYu7d+8SFxfHsGHD8PPzw83NTe32C+Dh4UFMTIz6hOlVHh4e6lCLV7m5uZGamqr1dCujvnLlygEvxlnfvHlTK0gRExOT5/MwMjLKl3kfatSowV9//aUVLPnzzz+xt7eX4IQQIlvVqlXTuon38fHh/Pnzr/U5tmPHDvz8/ChevDgWFhZ07NiRu3fv8uTJEyD3nm7JycnZpufE1taWTz75hMjISODFXAWHDh0iKChIK9/LT+cz/PTTT9SoUQM7OzsKFCjAsGHDSEhI0Mrj7OyMhYWFul20aFHKlSunFSgoWrRonnrTvTwvg7m5OZaWlurxsbGx+Pj4aL0vNWrU4NGjR1y9elXnOiDzOffq1Yvo6GgqVqzI4MGDOXjwoFb6kiVLGD9+fJ7qeFVoaChubm589tlnb1TOq27evEm3bt3o1KkTx44dY+/evRgZGdG6detMDxiy8tlnn3Ho0CEuXrzIokWL6NKly1ttnxBCCPE+kQBFLqysrChcuDDz5s3jr7/+YteuXQwYMEBN79ChA3Z2djRv3pwDBw5w8eJFVq5cyaFDhwAYMWIEy5cvZ8SIEcTGxnLmzBkmTpwIgIuLC82aNaNbt27s37+fU6dO8dlnn1G8eHGaNWsGvOjWevv2bSZNmsSFCxeYNWsWmzdvzvN5ODs7s2/fPq5du8adO3d0OubcuXNq8OXBgwfExMRkCo5k7Hv06BG3b98mJiaGc+fOqem9evUiMTGRvn378ueff7Jx40bGjRtHnz598nwOQgiRV/Hx8TRp0gQPDw9WrlzJiRMnmDVrFvB/E1Lm1NPtTXvBBQUF8csvv5CSkkJUVBTu7u6Z5kgwNzfX2s4IYgQEBLBhwwZOnjzJN998k2kCzax6zr1pb7o3PV7XXn+vnnOjRo3U1aauX7+On5+fTnNE5MWuXbtYsWIFBgYGGBgYqEEnGxsbRowYkeUxdnZ2mQI8qampJCYmqvM5zZo1i4IFCzJp0iS8vLyoXbs2y5YtY+fOnToNr8lYHaxr1648e/aMRo0aveGZCiGEEO8vCVDkQk9Pj+joaE6cOEGFChXo378/kydPVtONjIzYtm0bRYoUISAgAHd3dyZMmKAOafD19WXFihWsW7eOihUrUq9ePY4ePaoe/+OPP1KpUiWaNGmCj48PiqKwadMm9Uuim5sbs2fPZtasWXh6enL06NHX+tI2evRo4uPjKVWqlM5dRwMCAvDy8mL9+vXs2bMHLy8vvLy8tPJk7Dtx4gRRUVF4eXkREBCgpjs4OLB161aOHTuGh4cHX375JX379mXo0KF5PgchxIfj1Ru7w4cP4+LiojVcTBcnTpwgPT2d8PBwqlWrRpkyZdTJDTPk1NPNxcUFU1PTbNNz06xZM549e8aWLVuIiorK1HsiKwcPHsTJyYlvvvmGypUr4+LiwuXLl1+r/rfJzc1NXW0qw4EDB7CwsKBEiRLAi14jL68UlZSUxKVLl3Qq39bWlk6dOrFs2TKmT5/OvHnz3mr7V65cyalTp9TAesacJr/++mu2QXMfHx/u37/PiRMn1H27du0iPT1dHTbz5MmTTMNbMn5PdQ3udOnShT179hAcHJzn33EhhBDiv0TmoNBB/fr1tXoFAFpf0JycnPjll1+yPb5ly5bZLjdmZWXFkiVLcqy/Z8+e9OzZU2vf119/rf6csZzoy16dRb1atWqcOnUqx3peldsa7oBO3Vd9fHwyrfMuhBA5SUhIYMCAAfTo0YPffvuN77//nvDw8DyXU7p0aVJSUvj+++8JDAzkwIEDmSbpDQ0Nxd3dnd69e9OzZ0+MjIzYvXs3bdq0wcbGhiFDhjB48GCMjIyoUaMGt2/f5uzZs3Tt2jXX+s3NzWnevDlhYWHExsaq8zvkxMXFhYSEBKKjo6lSpQobN25k9erVeT73t613795Mnz6dL774gpCQEOLi4hgxYgQDBgxQb9Dr1avHokWLCAwMpFChQgwfPlynG+7hw4dTqVIlypcvT3JyMhs2bMDNzU1NDw4Opnjx4jkO80hISCAxMZGEhATS0tLUHn+lS5emQIEClCpVSit/Rm9CNzc3ChUqBMDRo0cJDg5m586dFC9eHDc3Nxo2bEi3bt2YO3cuKSkphISE0L59e4oVKwZA48aNmTZtGqNHj6ZDhw48fPiQr7/+Gicnp0xB/ew0bNiQ27dvY2lpqVN+IYQQ4r9KelAIIYR45wQHB/P06VO8vb3p06cPffv2VZfgzAtPT0+mTp3KxIkTqVChApGRkZlucsuUKcO2bds4deoU3t7e+Pj4sHbtWgwMXsTww8LCGDhwIMOHD8fNzY127drlaV6HoKAgTp06Ra1atXB0dMw1f9OmTenfvz8hISFUrFiRgwcPqqt75KfixYuzadMmjh49iqenJz179qRr165aE3qGhoZSp04ddbnr5s2bZwoMZMXIyIjQ0FA8PDyoXbs2+vr6REdHq+kJCQlaPTOyMnz4cLy8vBgxYgSPHj1Se/gdP35c53N88uQJcXFxWsNSIiMjKVu2LH5+fgQEBFCzZk2t3h316tUjKiqKNWvW4OXlRcOGDTE2NmbLli06DxHSaDTY2NjI3ExCCCE+eBpFl0fg4j+nUaNG/Prrr1mmff3111o9NN51SUlJFCxYkCpfLsDA2Cy/myPEB+vgpNx7B+jC19eXihUrZuoJJoQQQggh3j8Z92sPHjzItbegDPH4QC1YsICnT59mmWZtbf0vt0YIIYQQQgghxIdOhnh8oIoXL07p0qWzfEmAQgjxvoiMjKRAgQJZvsqXL/+P1j1u3Lhs637XVmLIz+skhBBCCKErGeIh3ivJyckkJydr7UtKSsLBwUGGeAiRz97WEI+8ePjwIbdu3coyzdDQECcnp3+s7sTERBITE7NMMzU1pXjx4v9Y3XmVn9dJCCGEEB82GeIh/rPGjx/PqFGj8rsZQoh3hIWFBRYWFvlSt7W19XvT4yw/r5MQQgghhK5kiId4r4SGhvLgwQOt15UrV/K7WUIIIYQQQggh3pAEKMR7xdjYGEtLy0wvIcSHxdnZ+b1Y5UOj0bBmzRqd83fu3JnmzZu/dn2+vr7069fvtY8XQgghhMhPEqAQQgjx3jl27Bjdu3fP72bk6saNG+/chJnvMo1Gk+Vr8uTJah5nZ+dM6RMmTMix3Hnz5uHr64ulpSUajYb79+9nypNbuSNHjsyybebm5m/t/IUQQogPncxBkU9SUlKIiIjgzz//pEiRIgwZMiS/mySEEO8NW1vb/G6CTuzs7PK7Cf+K58+fY2Rk9Mbl3LhxQ2t78+bNdO3alVatWmntHz16NN26dVO3c5tf48mTJzRs2JCGDRsSGhqabb6cyv3qq6/o2bOnVn4/Pz+qVKmSY91CCCGE0J30oMiDpUuXcuTIEQBGjRrFnTt3Xrus3377jVu3bjFhwoQsgxN//vknAwcOzLR/w4YNzJ0797Xr/aesX7+eb7/9lpCQEFasWJEp/a+//mLSpEkMGDCA0NBQ1qxZQ3p6ej60VAjxrvP19SUkJISQkBAKFiyIjY0NYWFhvLzoVF6GeEydOhV3d3fMzc1xcHCgd+/ePHr0SCvPgQMH8PX1xczMDCsrK/z9/bl37x4A6enpTJo0idKlS2NsbIyjoyNjx47Vqe5Xh3icOXOGevXqYWpqSuHChenevXumtsCL/zG2trZYWlrSs2dPnj9/rlN9Ge0dPHgw1tbW2NnZMXLkSK30hIQEmjVrRoECBbC0tKRt27ZaK3xkNcykX79++Pr6qtsZ71G/fv2wsbHB398fRVEYOXIkjo6OGBsbU6xYMb788kud2w0vAjovv9auXUvdunUpWbKkVj4LCwutfLn1YujXrx9Dhw6lWrVqOebLqdwCBQpopd26dYtz587RtWvXPJ2jEEIIIbInAYo8uHz5Mk5OTjx9+pTHjx9jY2Pz2mXdvXuXIkWKYGho+BZb+HoURXnjYIGtrS0tWrTA3d09U1p6ejo//PADHh4eTJkyha+++ooTJ05w4MCBN6pTCPHftXjxYgwMDDh69CgzZsxg6tSpLFiw4LXK0tPT47vvvuPs2bMsXryYXbt2MXjwYDU9JiYGPz8/ypUrx6FDh9i/fz+BgYGkpaUBLybnnTBhAmFhYZw7d46oqCiKFi2a53Y8fvwYf39/rKysOHbsGCtWrGDHjh2EhIRo5du5cyexsbHs2bOH5cuXs2rVqjytXrR48WLMzc05cuQIkyZNYvTo0Wzfvh148XncrFkzEhMT2bt3L9u3b+fixYu0a9cuz+ezePFijIyMOHDgAHPnzmXlypVMmzaNH374gfPnz7NmzRqt/wkjR47E2dlZ5/Jv3brFxo0bswwATJgwgcKFC+Pl5cXkyZNJTU3Nc/uzkpdyFyxYQJkyZahVq9ZbqVsIIYQQMsRDZ8nJydy/f5+iRYsSFxeHo6NjrsccOXKELVu2kJSURLFixWjTpg2Ojo6sXLmSPXv2oCgK/fv3x8/PjyZNmuS5TSkpKURHR3P69GnS0tKwsrKiY8eOODs7oygKe/bsYd++fSQlJVGiRAnat2+Pvb09AMOGDaNmzZqcPn2aa9euMXjwYK5du8bGjRtJSkrCxMSEWrVqERAQoFNbMp5KnThxIlNaRkCnWrVq6OnpUbhwYcqWLcv169fzfM5CiA+Dg4MD06ZNQ6PR4OrqypkzZ5g2bZpW93tdvTxppLOzM99++y09e/Zk9uzZAEyaNInKlSur2wDly5cH4OHDh8yYMYOZM2fSqVMnAEqVKkXNmjXz3I6oqCiePXvGkiVL1CfzM2fOJDAwkIkTJ6pBDyMjIyIiIjAzM6N8+fKMHj2aQYMGMWbMGPT0cn+u4OHhwYgRIwBwcXFh5syZ7Ny5kwYNGrBz507OnDnDpUuXcHBwAGDJkiWUL1+eY8eO5Wm4gouLC5MmTVK3N27ciJ2dHfXr18fQ0BBHR0e8vb3VdBsbG0qVKqVz+YsXL8bCwoKWLVtq7f/yyy/5+OOPsba25uDBg4SGhnLjxg2mTp2qc9lZyUu5z549IzIykqFDh75RnUIIIYTQJgGKXJw8eZJly5aRnp5OSkoKX331lfpEZeDAgdSvXz/LCdDOnz9PdHQ0vXv3pmTJkuzdu5eZM2cyatQoWrVqhbGxMVevXs00njUvjhw5wtWrVxk1ahSmpqb8/fffao+Mffv2cfDgQXr16kXhwoXZt28fc+fOJSwsDAODF2/74cOH6dWrF7a2tiQnJzN+/Hj69u2Li4sLT5484e+//1br+vbbb/H393+tsbbm5ub4+Phw8OBB/P39SUxM5I8//qB9+/avfe5CiP+2atWqodFo1G0fHx/Cw8NJS0tDX18/T2Xt2LGD8ePH88cff5CUlERqairPnj3jyZMnmJmZERMTQ5s2bbI8NjY2luTkZPz8/N7ofDLK8vT01Bo2UKNGDdLT04mLi1MDFJ6enpiZmal5fHx8ePToEVeuXMHJySnXejw8PLS27e3t1c/z2NhYHBwc1OAEQLly5ShUqBCxsbF5+oyvVKmS1nabNm2YPn06JUuWpGHDhgQEBBAYGKj+z8kYtqOriIgIgoKCMDEx0do/YMAA9WcPDw+MjIzo0aMH48ePx9jYWOfyX5WXclevXs3Dhw/VoJUQQggh3g4Z4pELLy8vwsPDqVevHo0bNyY8PJySJUvSp08fwsPDs52d/ejRo3h7e+Pi4oK+vj716tXDzMyM33///a21TV9fn+TkZG7evImiKBQtWhRra2vgRYCiSZMmFClSBH19ferWrcvz58+Jj49Xj69duzZFixZFT08PPT099PX1uXnzJk+fPsXMzEyrK+6wYcPeaCKwSpUqsX//fvr27cuIESOoUKEC5cqVe+3yhBBCF/Hx8TRp0gQPDw9WrlzJiRMnmDVrFoA6r4OpqWm2x+eU9q56deigRqPJ0zA+PT09rfk+4EWPvVe9Ou+Dg4MDcXFxzJ49G1NTU3r37k3t2rWzPDY3v/76K3Fxcfzvf//LNW/VqlVJTU3V+v/2NuRU7oIFC2jSpMlrDfURQgghRPakB4WOzp8/T9OmTUlLS+PKlSt89NFHOea/d+8eZcqU0dpnY2OjTrqWG319fXX888tefnro7e3NgwcPWL58Offu3cPDw4OWLVtSoEAB7t69y6JFi7S6A6empmrVb2Vlpf5sbGxMr1692LlzJ6tXr6Z48eI0adIEV1dXndqbk1u3bjF37lw6d+6Mp6cnjx49YtGiRaxZs4YWLVq8cflCiP+ejAmJMxw+fFgN+ObFiRMnSE9PJzw8XP08/Pnnn7XyeHh4sHPnzizneXBxccHU1JSdO3fqdLOcEzc3NxYtWsTjx4/Vm/sDBw6gp6en9Vl76tQpnj59qgZHDh8+TIECBbR6PbxJG65cucKVK1fU8s6dO8f9+/fVoLGtrW2mYHpMTIxOcyaZmpoSGBhIYGAgffr0oWzZspw5c4aPP/44T+1cuHAhlSpVwtPTM9e8MTEx6OnpUaRIkTzV8brlXrp0id27d7Nu3bq3Wp8QQgghJECRo5SUFHV86bNnz5gzZ4461GPo0KEUK1Ysy5U24MXN/927d7X23b17VysokBNra2ueP3/Ow4cPtZY5u3PnDoULFwZeBDEylk1LSkoiIiKCjRs30q5dO6ysrGjdurU6jjorL3efBihbtixly5YlLS2NvXv38sMPPzBlyhSdxjzn5Nq1a1hZWalfUAsWLEi1atXYtm2bBCiEEFlKSEhgwIAB9OjRg99++43vv/+e8PDwPJdTunRpUlJS+P777wkMDFQndHxZaGgo7u7u9O7dm549e2JkZMTu3btp06YNNjY2DBkyhMGDB2NkZESNGjW4ffs2Z8+ezfPqDUFBQYwYMYJOnToxcuRIbt++zRdffEHHjh21nsQ/f/6crl27MmzYMOLj4xkxYgQhISFv/FkMUL9+fdzd3QkKCmL69OmkpqbSu3dv6tSpQ+XKlQGoV68ekydPZsmSJfj4+LBs2f9j797jer7/x//fXh29Suio0GEUhQ6GyLHJZ5FynNMQY6aR47awydnI5DA5bEh5kzZzmPNGorezmYh6xww5jDmWY1L9/vDr+fVS6vWyrLH79XJ5XS49n4/H8/F8PF/p5fW8P++Px2MlJ0+epF69esW2HRMTQ25uLo0aNcLExISVK1eiVquVYSlRUVGsX7+ehISEYtvJyspizZo1Rf6+Dxw4wKFDh3jnnXcwMzPjwIEDjBw5kt69exf7/+vVq1e5evUqv/32G/B0NRUzMzMcHBywsLDQqd3o6Gjs7OxemEEphBBCiJcnQzyKYWhoSGRkJAMGDMDd3V0Z6hEUFERkZOQLgxMADRs25MiRI5w9e5bc3FwSExO5f/9+sQGDZ5mbm+Pi4sLatWt58OABubm5nDx5khMnTihfItPT07l48SK5ubkYGRlhaGioPF1s0aIFmzdvVpaOe/jwIcePH+fRo0dFni8rK4vk5GQePXqEnp4earVapyeVubm55OTkkJeXpwRxCjJAHBwcuHPnDsnJyeTl5XH37l0OHTpUKk8DhRBvpuDgYB4+fIi3tzdDhgxh+PDhfPTRRzq34+npyezZs4mIiKBu3bqsWrWK6dOna9SpWbMmP//8M8ePH8fb2xsfHx9+/PFHZe6E8PBwPvnkE8aPH4+bmxvdu3fXmKNHWyYmJvz000/cunWLhg0b8t577+Hn50dUVJRGPT8/P1xcXGjRogXdu3enffv2hZYKfVkqlYoff/wRc3NzWrRoQevWralevTrfffedUsff35/w8HDCwsJo2LAhd+/eJTg4uMS2K1WqxJIlS2jatCkeHh7s3LmTTZs2KUH1GzducPbs2RLbiY+PJz8/n549exYqMzY2Jj4+npYtW1KnTh2mTZvGyJEj+fbbbwtdZ0xMjLK9ePFi6tWrp0yy2qJFC+rVq6dkQWjbbl5eHjExMfTr10/nbB4hhBBClEyV//xAU1FIXFwcjo6ONG3alGnTpjFgwABsbW1LPO7gwYP89NNPZGZmKqt4FDxJ2rx5c4mTZGZmZrJ+/XrS09N5/Pgx1tbWBAQEKBOgHTlyhK1bt3Lnzh0MDQ1xdXWlR48emJiYkJ+fT1JSEklJSdy+fRtjY2Nq1KhB7969KVeuHOPGjeO9997Dy8tLOVd0dDSXLl0iPz8fGxsbOnXqpKQdT5kyBX9/f40Z2Z+1YsUKDh48qLGvcePGypfaEydOsGXLFq5fv670tWvXrpQvX77E97EkWVlZVKxYkYbDlmJgbFLyAUKIV2L/zMI3lC/D19cXLy8v5s6dWyrtlZXs7GzKlSvHjh07aN26dVl351/j3Llz1KxZk9TUVFxcXMq6O0IIIcS/XsH9WmZmJhUqVCi2rgQoxGtPAhRC/DNIgOL/ycrKYt26dQwYMIALFy5QrVq1su7Sv8aCBQtITU1VJkMVQgghRNnSJUAhc1AIIYR4ba1atYpBgwYVWebo6MipU6de2bm//PJLvvzyyyLLGjZsSGpqKhEREaUWnMjIyCh29aPU1FQcHBxK5VyvsyFDhpR1F4QQQgjxkiSDQrz2JINCiH+G0sqg0MXdu3eVuXaeZ2hoqAyrexVu3brFrVu3iixTq9VUrVq1VM9X0lKaTk5OyrwZQgghhBD/FJJBIYQQ4l/BzMxMY6Wjv5OFhQUWFhZ/2/kMDAxwdnb+284nhBBCCPF3k1U8hBBCCCGEEEIIUeYkQCGEEEIIIYQQQogyJwEKIYQQQgghhBBClDmZg0K8MXZO6VripCtCCCGEEEIIIf6ZJINCCCGEEEIIIYQQZU4CFEIIIYQQQgghhChzEqAQQgghhBBCCCFEmZMAhRBCCCGEEEIIIcqcBCiEEEIIIYQQQghR5iRAIYQQQgghhBBCiDInAQohhBBCCCGEEEKUOQlQCCGEEEIIIYQQosxJgEIIIYQQQgghhBBlzqCsOyBEaXl//k8YljMp626If7j1n7Qr6y4IIYQQQgghiiAZFEIIIYQQQgghhChzEqAQQgghhBBCCCFEmZMAhRBCCCGEEEIIIcqcBCj+RZycnJg7d67W9R89ekS/fv1wd3fHwMCAjh07Fllv1apVeHp6YmJigp2dHf379+fmzZtKua+vLyqVqtCrXTuZC0AIIYQQQgghxFMSoBAvlJubi1qtZtiwYbRu3brIOvv27SM4OJgBAwZw6tQp1qxZw+HDhxk4cKBSZ926dfzxxx/K6+TJk+jr69O1a9e/61KEKDO6BgZFyVQqFRs2bCjrbgghhBBCiFImAQotbd++nWbNmlGpUiUsLS0JDAzk7NmzSvmlS5fo2bMnFhYWmJqa0qBBAw4dOqSUb9q0iYYNG1KuXDmsrKzo1KmTUnb79m2Cg4MxNzfHxMSEtm3bcubMGaV84sSJeHl5afRn7ty5ODk5Kdv9+vWjY8eOzJo1Czs7OywtLRkyZAg5OTnA0yyGCxcuMHLkSCWDoSSmpqYsWrSIgQMHYmtrW2SdAwcO4OTkxLBhw3jrrbdo1qwZgwYN4vDhw0odCwsLbG1tldeOHTswMTGRAIX4Vzhy5AgfffRRWXdD/IOcPn2aDh06YGVlRYUKFWjWrBmJiYklHpeWlkb79u2pWLEipqamNGzYkIyMDKX86tWr9OnTB1tbW0xNTXn77bdZu3ZtsW3269cPlUpFSEhIobIhQ4agUqno16+fztcohBBCCPEyJEChpfv37zNq1Ch++eUXEhIS0NPTo1OnTuTl5XHv3j1atmzJ5cuX2bhxI8ePHycsLIy8vDwAtmzZQqdOnQgICODYsWMkJCTg7e2ttN2vXz9++eUXNm7cyIEDB8jPzycgIEAJLmgrMTGRs2fPkpiYSGxsLDExMcTExABPsxiqVavG5MmTlUyG0uDj48PFixfZunUr+fn5XLt2jR9++IGAgIAXHrNs2TJ69OiBqalpqfRBiH8ya2trTEzevOVvHz9+XNZd+Nvp+pn8IoGBgTx58oRdu3Zx9OhRPD09CQwM5OrVqy885uzZszRr1gxXV1d2797NiRMnCA8Pp1y5ckqd4OBg0tPT2bhxIykpKXTu3Jlu3bpx7NixYvtjb29PfHw8Dx8+VPY9evSIuLg4HBwc/voFCyGEEEJoSQIUWurSpQudO3fG2dkZLy8voqOjSUlJITU1lbi4OK5fv86GDRto1qwZzs7OdOvWDR8fHwCmTZtGjx49mDRpEm5ubnh6ejJ27FgAzpw5w8aNG1m6dCnNmzfH09OTVatWcfnyZZ1TmM3NzYmKisLV1ZXAwEDatWtHQkIC8DSLQV9fHzMzMyWToTQ0bdqUVatW0b17d4yMjLC1taVixYosWLCgyPqHDx/m5MmTfPjhh6VyfiHKkq+vL6GhoYSGhlKxYkWsrKwIDw8nPz9fqaPLEI/Zs2fj7u6Oqakp9vb2DB48mHv37mnU2bdvH76+vpiYmGBubo6/vz+3b98GIC8vj5kzZ+Ls7IyxsTEODg5MmzatxPM2adKE0aNHa+y7fv06hoaGJCUlKdcxZcoUgoODqVChgpIVMnr0aGrWrImJiQnVq1cnPDxc40a+IAMsOjoaBwcHypcvz+DBg8nNzWXmzJnY2tpiY2OjVT+fdePGDTp16oSJiQkuLi5s3LhRo3zPnj14e3tjbGyMnZ0dY8aM4cmTJ0p5Ub8XLy8vJk6cqGyrVCoWLVpE+/btMTU1Zdq0ady+fZtevXphbW2NWq3GxcWF5cuX69TvM2fOMGbMGDw8PHBxcWHGjBk8ePCAkydPvvC4L774goCAAGbOnEm9evWoUaMG7du3x8bGRqmzf/9+hg4dire3N9WrV2fcuHFUqlSJo0ePFtunt99+G3t7e9atW6fsW7duHQ4ODtSrV0/raxNCCCGE+KskQKGlM2fO0LNnT6pXr06FChWU4RUZGRkkJydTr149LCwsijw2OTkZPz+/IsvS0tIwMDCgUaNGyj5LS0tq1apFWlqaTn2sU6cO+vr6yradnR1//vmnTm3oKjU1leHDhzN+/HiOHj3K9u3bOX/+fJHpwvA0e8Ld3V0jg0SI11lsbCwGBgYcPnyYefPmMXv2bJYuXfpSbenp6fH1119z6tQpYmNj2bVrF2FhYUp5wWdJ7dq1OXDgAHv37iUoKIjc3FwAxo4dy4wZMwgPD1eCp5UrVy7xvL169SI+Pl4jsPLdd99RpUoVmjdvruybNWsWnp6eHDt2jPDwcADMzMyIiYkhNTWVefPmsWTJEubMmaPR/tmzZ9m2bRvbt29n9erVLFu2jHbt2nHp0iX27NlDREQE48aN0xgWV5JJkybRrVs3Tpw4QUBAAL169eLWrVsAXL58mYCAABo2bMjx48dZtGgRy5YtY+rUqVq3X2DixIl06tSJlJQU+vfvr7y327ZtIy0tjUWLFmFlZaXU9/X1LXZIRMHn+4oVK7h//z5Pnjzhm2++wcbGhvr16xd5TF5eHlu2bKFmzZr4+/tjY2NDo0aNCgWxmzRpwnfffcetW7fIy8sjPj6eR48e4evrW+J19u/fXyPQEh0dzQcffFDicUIIIYQQpcmgrDvwuggKCsLR0ZElS5ZQpUoV8vLyqFu3Lo8fP0atVhd7bEnlJdHT09O4cYCiU40NDQ01tlUqlTLM5FWZPn06TZs25bPPPgPAw8MDU1NTmjdvztSpU7Gzs1Pq3r9/n/j4eCZPnvxK+yTE38ne3p45c+agUqmoVasWKSkpzJkzR2OiWG2NGDFC+dnJyYmpU6cSEhLCwoULAZg5cyYNGjRQtuFpYBLg7t27zJs3j6ioKPr27QtAjRo1aNasWYnn7datGyNGjGDv3r1KQCIuLo6ePXtqzFfTqlUrPvnkE41jx40bp9HnTz/9lPj4eI3ASl5eHtHR0ZiZmVG7dm3eeecd0tPT2bp1K3p6etSqVYuIiAgSExM1grXF6devHz179gTgyy+/5Ouvv+bw4cO0adOGhQsXYm9vT1RUFCqVCldXV65cucLo0aMZP348enrax+bff/99jRv1jIwM6tWrR4MGDZRrfpaDg4PG597zVCoVO3fupGPHjpiZmaGnp4eNjQ3bt2/H3Ny8yGP+/PNP7t27x4wZM5g6dSoRERFs376dzp07k5iYSMuWLQH4/vvv6d69O5aWlhgYGGBiYsL69etxdnYu8Tp79+7N2LFjuXDhAvA0Uyc+Pp7du3eXeKwQQgghRGmRDAot3Lx5k/T0dMaNG4efnx9ubm5KSjU8vSlPTk5Wnt49z8PDQxlq8Tw3NzeePHmi8eSw4Hy1a9cGno5hv3r1qkaQIjk5WefrMDIyUp60lpYHDx4U+rJfkMXxfFBlzZo1ZGdn07t371LtgxBlqXHjxho38T4+Ppw5c+al/tZ27tyJn58fVatWxczMjD59+nDz5k0ePHgAlJyNlZ2d/cLy4lhbW/Puu++yatUqAM6dO8eBAwfo1auXRr2Cm/JnfffddzRt2hRbW1vKly/PuHHjNCZuhKc38WZmZsp25cqVqV27tsZnR+XKlXXK+PLw8FB+NjU1pUKFCsrxaWlp+Pj4aPxemjZtyr1797h06ZLW54DC1/zxxx8THx+Pl5cXYWFh7N+/X6N8xYoVTJ8+/YXt5efnM2TIEGxsbPjvf//L4cOH6dixI0FBQS+cG6gg0NyhQwdGjhyJl5cXY8aMITAwkMWLFyv1wsPDuXPnDjt37uSXX35h1KhRdOvWjZSUlBKv09ramnbt2hETE8Py5ctp166dRmaIEEIIIcTfQQIUWjA3N8fS0pJvv/2W3377jV27djFq1CilvGfPntja2tKxY0f27dvH77//ztq1azlw4AAAEyZMYPXq1UyYMIG0tDRSUlKIiIgAwMXFhQ4dOjBw4ED27t3L8ePH6d27N1WrVqVDhw7A05Th69evM3PmTM6ePcuCBQvYtm2bztfh5OREUlISly9f5saNG1odk5qaqgRfMjMzSU5O1giOBAUFsW7dOhYtWsTvv//Ovn37GDZsGN7e3lSpUkWjrWXLltGxY0csLS117rsQb7rz588TGBiIh4cHa9eu5ejRo8pcLgUTUhaXjfVXM7V69erFDz/8QE5ODnFxcbi7u+Pu7q5R5/mJbQuCGAEBAWzevJljx47xxRdfFJpAs6jsrr+a8fVXj9c2M+35a27btq2yItKVK1fw8/Pj008/1fq8u3btYvPmzcTHx9O0aVPefvttFi5ciFqtJjY2tshjrKysMDAwUILWBdzc3JRg0NmzZ4mKiiI6Oho/Pz88PT2ZMGECDRo0eOGcQM/r378/MTExxMbG0r9/f62vSQghhBCitEiAQgt6enrEx8dz9OhR6taty8iRI/nqq6+UciMjI37++WdsbGwICAjA3d2dGTNmKJkEvr6+rFmzho0bN+Ll5UWrVq00luFcvnw59evXJzAwEB8fH/Lz89m6davyBdzNzY2FCxeyYMECPD09OXz4sE5fiAtMnjyZ8+fPU6NGDaytrbU6JiAggHr16rFp0yZ2795NvXr1NCZN69evH7NnzyYqKoq6devStWtXatWqpTHZGkB6ejp79+5lwIABOvdbiH+y5+dNOHjwIC4uLhrzwWjj6NGj5OXlERkZSePGjalZsyZXrlzRqFNcNpaLiwtqtfqF5SXp0KEDjx49Yvv27cTFxRXKnijK/v37cXR05IsvvqBBgwa4uLgoQwTKkpubm7IiUoF9+/ZhZmZGtWrVgKcZA89mLGRlZXHu3Dmt2re2tqZv376sXLmSuXPn8u2332rdt4JsmOczz/T09F4YYDEyMqJhw4akp6dr7D99+jSOjo7Ftquvr6914KZNmzY8fvyYnJwc/P39tTpGCCGEEKI0yRwUWmrdujWpqaka+5798uvo6MgPP/zwwuM7d+5M586diywzNzdnxYoVxZ4/JCSk0MSTn3/+ufJzwXKiz3p+hvrGjRtz/PjxYs/zvPPnz5dYZ+jQoQwdOrTYOrVq1Sr0tFKIN0FGRgajRo1i0KBB/Prrr8yfP5/IyEid23F2diYnJ4f58+cTFBTEvn37NNL34ekkmO7u7gwePJiQkBCMjIxITEyka9euWFlZMXr0aMLCwjAyMqJp06Zcv36dU6dOaRUYNDU1pWPHjoSHh5OWlqbM71AcFxcXMjIyiI+Pp2HDhmzZsoX169frfO2lbfDgwcydO5ehQ4cSGhpKeno6EyZMYNSoUcoNfKtWrYiJiSEoKIhKlSoxfvx4rYJK48ePp379+tSpU4fs7Gw2b96Mm5ubUh4cHEzVqlVfOMzDx8cHc3Nz+vbty/jx41Gr1SxZsoRz587Rrl07pZ6rqyvTp0+nU6dOAHz22Wd0796dFi1a8M4777B9+3YlcFxQ39nZmUGDBjFr1iwsLS3ZsGEDO3bsYPPmzVq9b/r6+srkzLoG2IQQQgghSoNkUAghxF8QHBzMw4cP8fb2ZsiQIQwfPlxZglMXnp6ezJ49m4iICOrWrcuqVasK3eTWrFmTn3/+mePHj+Pt7Y2Pjw8//vgjBgZPY83h4eF88sknjB8/Hjc3N7p3767TvA69evXi+PHjNG/eHAcHhxLrt2/fnpEjRxIaGoqXlxf79+9XVvcoS1WrVmXr1q0cPnwYT09PQkJCGDBggMaEnmPHjqVly5bKkswdO3akRo0aJbZtZGTE2LFj8fDwoEWLFujr6xMfH6+UZ2RkvHAuCXg6XGP79u3cu3ePVq1a0aBBA/bu3cuPP/6Ip6enUi89PZ3MzExlu1OnTixevJiZM2fi7u7O0qVLWbt2rTIJqqGhIVu3bsXa2pqgoCA8PDxYsWIFsbGxBAQEaP3eVahQgQoVKmhdXwghhBCiNKny5bH2v1bbtm3573//W2TZ559/rpGh8U+WlZVFxYoVaTf1ewzLmZR1d8Q/3PpP2pVcSUu+vr54eXkVylYSQgghhBBCPFVwv5aZmVnigxAZ4vEvtnTpUh4+fFhkmYWFxd/cGyGEEEIIIYQQ/2YyxONfrGrVqjg7Oxf5kgCFEKVr1apVlC9fvshXnTp1Xum5v/zyyxeeu23btq/03Loqy/dJCCGEEEKULRniIV4r2dnZZGdna+zLysrC3t5ehngIrZTmEA9d3L17l2vXrhVZZmhoqKzG8CrcunWLW7duFVmmVqupWrXqKzu3rsryfRJCCCGEEKVPhniIN9b06dOZNGlSWXdDCJ2ZmZlhZmZWJue2sLB4bbKiyvJ9EkIIIYQQZUuGeIjXytixY8nMzNR4Xbx4say7JcQLOTk5vRaTaKpUKjZs2KB1/X79+tGxY8eXPp+vry8jRox46eOFEEIIIcSbRwIU4rVibGysLIP37EuIf6ojR4681LKjf7c//vjjHzcfxT/ZxIkTcXV1xdTUFHNzc1q3bs2hQ4eU8t27d6NSqYp8HTlypMg2b926xdChQ6lVqxZqtRoHBweGDRumsdwoUGSbzy51WnD+t99+G2NjY5ydnYmJiSn190AIIYQQorTJEI8ykpOTQ3R0NKdPn8bGxobRo0eXdZeEEK+AtbV1WXdBK7a2tmXdhb/F48ePMTIy+svt1KxZk6ioKKpXr87Dhw+ZM2cO7777Lr/99hvW1tY0adKEP/74Q+OY8PBwEhISaNCgQZFtXrlyhStXrjBr1ixq167NhQsXCAkJ4cqVK/zwww8adZcvX06bNm2U7UqVKik/nzt3jnbt2hESEsKqVatISEjgww8/xM7ODn9//7987UIIIYQQr4pkUOjgP//5j/KEbNKkSdy4ceOl2/r111+5du0aM2bMKDI4cfr0aT755JNC+zdv3szixYtf+ryvyqZNm5g6dSqhoaGsWbOmUPmqVauYOHEiQ4YMYdeuXWXQQyFKn6+vL6GhoYSGhlKxYkWsrKwIDw/n2bmHdRniMXv2bNzd3TE1NcXe3p7Bgwdz7949jTr79u3D19cXExMTzM3N8ff35/bt2wDk5eUxc+ZMnJ2dMTY2xsHBgWnTpml17ueHeKSkpNCqVSvUajWWlpZ89NFHhfoCTz8Lra2tqVChAiEhITx+/Fir8xX0NywsDAsLC2xtbZk4caJGeUZGBh06dKB8+fJUqFCBbt26aUygWdQwkxEjRuDr66tsF/yORowYgZWVFf7+/uTn5zNx4kQcHBwwNjamSpUqDBs2TOt+A7z//vu0bt2a6tWrU6dOHWbPnk1WVhYnTpwAwMjICFtbW+VlaWnJjz/+yAcffIBKpSqyzbp167J27VqCgoKoUaMGrVq1Ytq0aWzatIknT55o1K1UqZJG++XKlVPKFi9ezFtvvUVkZCRubm6Ehoby3nvvMWfOHJ2uUQghhBDi7yYBCh1cuHABR0dHHj58yP3797Gysnrptm7evImNjQ2Ghoal2MOXk5+fT15e3l9qw9ramk6dOuHu7l5kebVq1ejRo4fMwC/eOLGxsRgYGHD48GHmzZvH7NmzWbp06Uu1paenx9dff82pU6eIjY1l165dhIWFKeXJycn4+flRu3ZtDhw4wN69ewkKCiI3Nxd4OkfLjBkzCA8PJzU1lbi4OCpXrqxzP+7fv4+/vz/m5uYcOXKENWvWsHPnTkJDQzXqJSQkkJaWxu7du1m9ejXr1q3TaRLb2NhYTE1NOXToEDNnzmTy5Mns2LEDeBq86NChA7du3WLPnj3s2LGD33//ne7du+t8PbGxsRgZGbFv3z4WL17M2rVrmTNnDt988w1nzpxhw4YNGp9dEydOxMnJSev2Hz9+zLfffkvFihXx9PQsss7GjRu5efMmH3zwgU59L5jt2sBAM+FxyJAhWFlZ4e3tTXR0tEZQ7MCBA7Ru3Vqjvr+/PwcOHNDp3EIIIYQQfzcZ4qGl7Oxs7ty5Q+XKlUlPT8fBwaHEYw4dOsT27dvJysqiSpUqdO3aFQcHB9auXcvu3bvJz89n5MiR+Pn5ERgYqHOfcnJyiI+P58SJE+Tm5mJubk6fPn1wcnIiPz+f3bt3k5SURFZWlhIgsLOzA2DcuHE0a9aMEydOcPnyZcLCwrh8+TJbtmwhKyuLcuXK0bx5cwICArTqS+PGjQE4evRokeUtW7YEYNu2bTpfpxD/ZPb29syZMweVSkWtWrVISUlhzpw5DBw4UOe2np000snJialTpxISEsLChQsBmDlzJg0aNFC2AerUqQM8XZ5z3rx5REVF0bdvXwBq1KhBs2bNdO5HXFwcjx49YsWKFZiamgIQFRVFUFAQERERStDDyMiI6OhoTExMqFOnDpMnT+azzz5jypQp6OmVHP/28PBgwoQJALi4uBAVFUVCQgL/93//R0JCAikpKZw7dw57e3sAVqxYQZ06dThy5AgNGzbU+npcXFyYOXOmsr1lyxZsbW1p3bo1hoaGODg44O3trZRbWVlRo0aNEtvdvHkzPXr04MGDB9jZ2bFjx44XBq6XLVuGv78/1apV07rfN27cYMqUKYXmMJk8eTKtWrXCxMSEn3/+Wcm0KcgCuXr1aqHAVOXKlcnKyuLhw4eo1Wqt+yCEEEII8XeSAEUJjh07xsqVK8nLyyMnJ4dPP/1USbX95JNPaN26dZETy505c4b4+HgGDx5M9erV2bNnD1FRUUyaNIkuXbpgbGzMpUuXCAkJeem+HTp0iEuXLjFp0iTUajV//vmnkpGRlJTE/v37+fjjj7G0tCQpKYnFixcTHh6uPIk7ePAgH3/8MdbW1mRnZzN9+nSGDx+Oi4sLDx484M8//1TONXXqVPz9/XW6KRDi36Bx48YaKfs+Pj5ERkaSm5uLvr6+Tm3t3LmT6dOn87///Y+srCyePHnCo0ePePDgASYmJiQnJ9O1a9cij01LSyM7Oxs/P7+/dD0FbXl6eirBCYCmTZuSl5dHenq6cvPr6emJiYmJUsfHx4d79+5x8eJFrbKlPDw8NLbt7OyUz520tDTs7e2V4ARA7dq1qVSpEmlpaTp9FtWvX19ju2vXrsydO5fq1avTpk0bAgICCAoKUj4bC4btlOSdd94hOTmZGzdusGTJErp168ahQ4ewsbHRqHfp0iV++uknvv/+e637nJWVRbt27ahdu3ahoS/h4eHKz/Xq1eP+/ft89dVXOg9TEUIIIYT4p5EhHiWoV68ekZGRtGrVinbt2hEZGUn16tUZMmQIkZGRL5z1/vDhw3h7e+Pi4oK+vr7ytOvkyZOl1jd9fX2ys7O5evUq+fn5VK5cGQsLC+BpgCIwMBAbGxv09fV55513ePz4MefPn1eOb9GiBZUrV0ZPTw89PT309fW5evUqDx8+xMTERCPFedy4cRKcEOIVOn/+PIGBgXh4eLB27VqOHj3KggULAJR5HYp78v06PhV/foibSqXSabiZnp6extAGeJpZ9rxnAy3wNOslPT2dhQsXolarGTx4MC1atCjy2OKYmpri7OxM48aNWbZsGQYGBixbtqxQveXLl2NpaUn79u21avfu3bu0adMGMzMz1q9fX+JQwEaNGnHp0iWys7OBpxOePjtXB8C1a9eoUKHCa/nvRAghhBD/HpJBoaUzZ87Qvn17cnNzuXjxIm+99Vax9W/fvk3NmjU19llZWSmT2ZVEX19fGVf+rGefynp7e5OZmcnq1au5ffs2Hh4edO7cmfLly3Pz5k1iYmI00qyfPHmicX5zc3PlZ2NjYz7++GMSEhJYv349VatWJTAwkFq1amnVXyH+rZ5dWhKeZiYVBCZ1cfToUfLy8oiMjFT+bp9/4u7h4UFCQkKR8zy4uLigVquVFRv+Cjc3N2JiYrh//75yc79v3z709PQ0PhOOHz+uMWTg4MGDlC9fXiPr4a/04eLFi1y8eFFpLzU1lTt37lC7dm3g6dw3zwd9k5OTtZrbR61WExQURFBQEEOGDMHV1ZWUlBTefvvtl+5zXl6eEiQokJ+fz/LlywkODtaqX1lZWfj7+2NsbMzGjRs1Jr98keTkZMzNzTE2NgaeZrJs3bpVo86OHTvw8fHR4WqEEEIIIf5+EqAoRk5ODmPGjAHg0aNHLFq0SBnqMWbMGKpUqVLkShvw9Ob/5s2bGvtu3rypERQojoWFBY8fP+bu3buYmZkp+2/cuIGlpSXwNIjRpk0b2rRpQ1ZWFtHR0WzZsoXu3btjbm7Oe++9p4xPL8rzM8m7urri6upKbm4ue/bs4ZtvvmHWrFlajSUX4t8qIyODUaNGMWjQIH799Vfmz59PZGSkzu04OzuTk5PD/PnzCQoKUiZ0fNbYsWNxd3dn8ODBhISEYGRkRGJiIl27dsXKyorRo0cTFhaGkZERTZs25fr165w6dYoBAwbo1JdevXoxYcIE+vbty8SJE7l+/TpDhw6lT58+GnMbPH78mAEDBjBu3DjOnz/PhAkTCA0NLZXPjNatW+Pu7k6vXr2YO3cuT548YfDgwbRs2VJZprNVq1Z89dVXrFixAh8fH1auXMnJkyepV69esW3HxMSQm5tLo0aNMDExYeXKlajVamVYSlRUFOvXrychIaHI4+/fv8+0adNo3749dnZ23LhxgwULFnD58uVCQ3B27drFuXPntAoaZWVl8e677/LgwQNWrlxJVlYWWVlZwNNgjL6+Pps2beLatWs0btyYcuXKsWPHDr788ks+/fRTpZ2QkBCioqIICwujf//+7Nq1i++//54tW7aU2AchhBBCiLIkd57FMDQ0JDIykgEDBuDu7q4M9QgKCiIyMvKFwQmAhg0bcuTIEc6ePUtubi6JiYncv3+/2IDBs8zNzXFxcWHt2rU8ePCA3NxcTp48yYkTJ5Qv5+np6Vy8eJHc3FyMjIwwNDRUntq2aNGCzZs3K2m+Dx8+5Pjx4zx69KjI82VlZZGcnMyjR4/Q09NDrVbr9AQ4NzeXnJwc8vLylCDOsxkgT548IScnh/z8fKVuURkiQrxugoODefjwId7e3gwZMoThw4cXmtRQG56ensyePZuIiAjq1q3LqlWrmD59ukadmjVr8vPPP3P8+HG8vb3x8fHhxx9/VOZOCA8P55NPPmH8+PG4ubnRvXt3jblktGViYsJPP/3ErVu3aNiwIe+99x5+fn5ERUVp1PPz88PFxYUWLVrQvXt32rdvX2i+hJelUqn48ccfMTc3p0WLFsqSnt99951Sx9/fn/DwcMLCwmjYsCF3794lODi4xLYrVarEkiVLaNq0KR4eHuzcuZNNmzYpwd8bN25w9uzZFx6vr6/P//73P7p06ULNmjUJCgri5s2b/Pe//y30Gb9s2TKaNGmCq6vrC68zJiYGeLr89KFDh0hJScHZ2Rk7OzvldfHiReDp/0sLFizAx8cHLy8vvvnmG2bPnq1MNgrw1ltvsWXLFnbs2IGnpyeRkZEsXboUf3//Et8bIYQQQoiypMp/fgCvKCQuLg5HR0eaNm3KtGnTGDBgALa2tiUed/DgQX766ScyMzOVVTwKntBt3ry5xEkyMzMzWb9+Penp6Tx+/Bhra2sCAgKUieWOHDnC1q1buXPnDoaGhri6utKjRw9MTEzIz88nKSmJpKQkbt++jbGxMTVq1KB3796UK1eOcePG8d577+Hl5aWcKzo6mkuXLpGfn4+NjQ2dOnVS0rmnTJmCv7+/xkz3z1qxYgUHDx7U2Ne4cWPlZmHOnDmcOXNGozwgIOClVi95XlZWFhUrVqTd1O8xLGdS8gHiX239J+1KrS1fX1+8vLyYO3duqbVZFrKzs5Wn8c8vTylenXPnzlGzZk1SU1NxcXEp6+4IIYQQQrwSBfdrBcunF0cCFOK1JwEKoQsJUGjKyspi3bp1DBgwgAsXLui0DKb4axYsWEBqaqoyGaoQQgghxJtIlwCFzEEhhBB/g1WrVjFo0KAiyxwdHTl16tQrO/eXX37Jl19+WWRZw4YNSU1NJSIiotSCExkZGcpElkVJTU3FwcGhVM71OhsyZEhZd0EIIYQQ4h9FMijEa08yKIQuSjODQhd3794ttPRjAUNDQ2X416tw69Ytbt26VWSZWq2matWqpXq+J0+eaCxp/DwnJydl3gwhhBBCCPFmkwwKIYT4hzEzM9NYkefvZGFhgYWFxd92PgMDA5ydnf+28wkhhBBCiDeDrOIhhBBCCCGEEEKIMicBCiGEEEIIIYQQQpQ5CVAIIYQQQgghhBCizMkcFOKNETfUv8RJV4QQQgghhBBC/DNJBoUQQgghhBBCCCHKnAQohBBCCCGEEEIIUeYkQCGEEEIIIYQQQogyJwEKIYQQQgghhBBClDkJUAghhBBCCCGEEKLMSYBCCCGEEEIIIYQQZU4CFEIIIYQQQgghhChzEqAQQgghhBBCCCFEmZMAhRBCCCGEEEIIIcqcQVl3QIjS8mncfozUpmXdDVFKovo2L+suCCGEEEIIIf5GkkEhhBBCCCGEEEKIMicBCiGEEEIIIYQQQpQ5CVAIIYQQQgghhBCizEmA4l/EycmJuXPnal1/9+7ddOjQATs7O0xNTfHy8mLVqlWF6q1ZswZXV1fKlSuHu7s7W7du1Sjv168fKpVK49WmTZu/ejlCCCGEEEIIId4gEqAQL7R//348PDxYu3YtJ06c4IMPPiA4OJjNmzdr1OnZsycDBgzg2LFjdOzYkY4dO3Ly5EmNttq0acMff/yhvFavXv13X44QL6Rr8E6UTKVSsWHDhrLuhhBCCCGEeI1IgEJL27dvp1mzZlSqVAlLS0sCAwM5e/asUn7p0iV69uyJhYUFpqamNGjQgEOHDinlmzZtomHDhpQrVw4rKys6deqklN2+fZvg4GDMzc0xMTGhbdu2nDlzRimfOHEiXl5eGv2ZO3cuTk5Oyna/fv3o2LEjs2bNws7ODktLS4YMGUJOTg4Avr6+XLhwgZEjRypZDCX5/PPPmTJlCk2aNKFGjRoMHz6cNm3asG7dOqXOvHnzaNOmDZ999hlubm5MmTKFt99+m6ioKI22jI2NsbW1VV7m5uYlnl+Iv8uRI0f46KOPyrob4h9i9+7dhbK+Cl5Hjhwp8phbt24xdOhQatWqhVqtxsHBgWHDhpGZmanUiYmJeWG7f/755wv7U1Dn4MGDGvuzs7OxtLREpVKxe/fuUrl2IYQQQoiyJAEKLd2/f59Ro0bxyy+/kJCQgJ6eHp06dSIvL4979+7RsmVLLl++zMaNGzl+/DhhYWHk5eUBsGXLFjp16kRAQADHjh0jISEBb29vpe1+/frxyy+/sHHjRg4cOEB+fj4BAQFKcEFbiYmJnD17lsTERGJjY4mJiSEmJgaAdevWUa1aNSZPnqxkMbyMzMxMLCwslO0DBw7QunVrjTr+/v4cOHBAY9/u3buxsbGhVq1afPzxx9y8efOlzi/Eq2BtbY2JiUlZd6PUPX78uKy78LfT9XOzKE2aNNHI+Prjjz/48MMPeeutt2jQoEGRx1y5coUrV64wa9YsTp48SUxMDNu3b2fAgAFKne7duxdq19/fn5YtW2JjY1Nsn+zt7Vm+fLnGvvXr11O+fPm/fL1CCCGEEP8UEqDQUpcuXejcuTPOzs54eXkRHR1NSkoKqampxMXFcf36dTZs2ECzZs1wdnamW7du+Pj4ADBt2jR69OjBpEmTcHNzw9PTk7FjxwJw5swZNm7cyNKlS2nevDmenp6sWrWKy5cv65webW5uTlRUFK6urgQGBtKuXTsSEhIAsLCwQF9fHzMzMyWLQVfff/89R44c4YMPPlD2Xb16lcqVK2vUq1y5MlevXlW227Rpw4oVK0hISCAiIoI9e/bQtm1bcnNzde6DELry9fUlNDSU0NBQKlasiJWVFeHh4eTn5yt1dBniMXv2bNzd3TE1NcXe3p7Bgwdz7949jTr79u3D19cXExMTzM3N8ff35/bt2wDk5eUxc+ZMnJ2dMTY2xsHBgWnTppV43iZNmjB69GiNfdevX8fQ0JCkpCTlOqZMmUJwcDAVKlRQskJGjx5NzZo1MTExoXr16oSHh2vcyBdkaUVHR+Pg4ED58uUZPHgwubm5zJw5E1tbW2xsbLTq57Nu3LhBp06dMDExwcXFhY0bN2qU79mzB29vb4yNjbGzs2PMmDE8efJEKS/q9+Ll5cXEiROVbZVKxaJFi2jfvj2mpqZMmzaN27dv06tXL6ytrVGr1bi4uBS6uS+OkZGRRsaXpaUlP/74Ix988MELs8/q1q3L2rVrCQoKokaNGrRq1Ypp06axadMm5ZrUarVGu/r6+uzatUsjiPEiffv2JT4+nocPHyr7oqOj6du3r9bXJYQQQgjxTycBCi2dOXOGnj17Ur16dSpUqKAMr8jIyCA5OZl69eppZBY8Kzk5GT8/vyLL0tLSMDAwoFGjRso+S0tLatWqRVpamk59rFOnDvr6+sq2nZ1dsWnDukhMTOSDDz5gyZIl1KlTR6dje/ToQfv27XF3d6djx45s3ryZI0eOSEqy+NvExsZiYGDA4cOHmTdvHrNnz2bp0qUv1Zaenh5ff/01p06dIjY2ll27dhEWFqaUF/y9165dmwMHDrB3716CgoKUgNzYsWOZMWMG4eHhSoDz+SBfUXr16kV8fLxGYOW7776jSpUqNG/eXNk3a9YsPD09OXbsGOHh4QCYmZkRExNDamoq8+bNY8mSJcyZM0ej/bNnz7Jt2za2b9/O6tWrWbZsGe3atePSpUvs2bOHiIgIxo0bpzF0rSSTJk2iW7dunDhxgoCAAHr16sWtW7cAuHz5MgEBATRs2JDjx4+zaNEili1bxtSpU7Vuv8DEiRPp1KkTKSkp9O/fX3lvt23bRlpaGosWLcLKykqp7+vrS79+/bRuf+PGjdy8eVMjOKuNzMxMKlSogIGBQZHlK1aswMTEhPfee6/EturXr4+TkxNr164Fnv7fk5SURJ8+fXTqkxBCCCHEP1nR35qKsWLFCrp3746xsbHG/sePHxMfH09wcHCpde6fJCgoCEdHR5YsWUKVKlXIy8ujbt26PH78GLVaXeyxJZWXRE9PT+OmBIpOYzY0NNTYVqlUyjCTv2LPnj0EBQUxZ86cQr9fW1tbrl27prHv2rVrxWZoVK9eHSsrK3777bcXBm6EKE329vbMmTMHlUpFrVq1SElJYc6cOQwcOFDntkaMGKH87OTkxNSpUwkJCWHhwoUAzJw5kwYNGijbgBLUu3v3LvPmzSMqKkp58l2jRg2aNWtW4nm7devGiBEj2Lt3rxKQiIuLo2fPnhpP9Vu1asUnn3yicey4ceM0+vzpp58SHx+vEVjJy8sjOjoaMzMzateuzTvvvEN6ejpbt25FT0+PWrVqERERQWJiokZAtTj9+vWjZ8+eAHz55Zd8/fXXHD58mDZt2rBw4ULs7e2JiopCpVLh6urKlStXGD16NOPHj0dPT/v4+fvvv68RPMjIyKBevXrKcIxn5+sBcHBwwM7OTuv2ly1bhr+/P9WqVdP6mBs3bjBlypRi5zZZtmwZ77//vtb/R/Tv35/o6Gh69+5NTEwMAQEBWFtba90nIYQQQoh/Op0zKD744AONSb8K3L17V+enS6+Lmzdvkp6ezrhx4/Dz88PNzU1J1wbw8PAgOTlZeTL4PA8PD2WoxfPc3Nx48uSJxlPJgvPVrl0beDo+/urVqxpBiuTkZJ2vw8jISOdhFbt376Zdu3ZEREQU+UXbx8en0LXt2LFDGd5SlEuXLnHz5k2dbhCE+CsaN26scRPv4+PDmTNnXmqY0c6dO/Hz86Nq1aqYmZnRp08fbt68yYMHD4CSM6ays7NfKjBnbW3Nu+++qyz1e+7cOQ4cOECvXr006hU1R8J3331H06ZNsbW1pXz58owbN46MjAyNOk5OTpiZmSnblStXpnbt2hqBgsqVK+uUleXh4aH8bGpqSoUKFZTj09LS8PHx0fi9NG3alHv37nHp0iWtzwGFr/njjz8mPj4eLy8vwsLC2L9/v0b5ihUrmD59ulZtX7p0iZ9++kmrYRgFsrKyaNeuHbVr19YYjvKsAwcOkJaWplO7vXv35sCBA/z+++/ExMTQv39/rY8VQgghhHgd6BygyM/PL3IM7qVLl6hYsWKpdOqfxtzcHEtLS7799lt+++03du3axahRo5Tynj17YmtrS8eOHdm3bx+///47a9euVSaKnDBhAqtXr2bChAmkpaWRkpJCREQEAC4uLnTo0IGBAweyd+9ejh8/Tu/evalatSodOnQAnqYjX79+nZkzZ3L27FkWLFjAtm3bdL4OJycnkpKSuHz5Mjdu3CixfmJiIu3atWPYsGF06dKFq1evcvXqVY1AzPDhw9m+fTuRkZH873//Y+LEifzyyy+EhoYCcO/ePT777DMOHjzI+fPnSUhIoEOHDjg7O+Pv76/zNQhRls6fP09gYKCy/O7Ro0dZsGAB8P8mpCzuafhfzabq1asXP/zwAzk5OcTFxeHu7o67u7tGHVNTU43tgiBGQEAAmzdv5tixY3zxxReFJtAsKgPrr2Zl/dXjtc0ee/6a27Ztq6xadOXKFfz8/Pj000+1Pu+zli9fjqWlJe3bt9eq/t27d2nTpg1mZmasX7++0HtQYOnSpXh5eVG/fn2t+1KwgtSAAQN49OgRbdu21fpYIYQQQojXgdYBinr16vH222+jUqnw8/Pj7bffVl6enp40b9680GoObwo9PT3i4+M5evQodevWZeTIkXz11VdKuZGRET///DM2NjYEBATg7u7OjBkzlPkgfH19WbNmDRs3bsTLy4tWrVpx+PBh5fjly5dTv359AgMD8fHxIT8/n61btypfbN3c3Fi4cCELFizA09OTw4cPv9SX7cmTJ3P+/Hlq1KihVVpwbGwsDx48YPr06djZ2Smvzp07K3WaNGlCXFwc3377LZ6envzwww9s2LCBunXrAqCvr8+JEydo3749NWvWZMCAAdSvX5///ve/hYYJCfGqPD9vwsGDB3FxcdGYs0UbR48eJS8vj8jISBo3bkzNmjW5cuWKRp3iMqZcXFxQq9UvLC9Jhw4dePToEdu3bycuLq5Q9kRR9u/fj6OjI1988QUNGjTAxcWFCxcuvNT5S5Obm5uyalGBffv2YWZmpgylsLa21lhxKCsri3PnzmnVvrW1NX379mXlypXMnTuXb7/9Vuc+5ufns3z5coKDg18YaHhWVlYW7777LkZGRmzcuJFy5coVWe/evXt8//33OmVPFOjfvz+7d+8mODhY53+/QgghhBD/dFrPQdGxY0fgafqyv7+/xtJmRkZGODk50aVLl1Lv4D9F69atSU1N1dj37BdrR0dHfvjhhxce37lzZ40b+2eZm5uzYsWKYs8fEhJCSEiIxr7PP/9c+blgOdFnPT/7fePGjTl+/Hix53nWs8uUFqdr16507dq1yDK1Ws1PP/2k9TmFeBUyMjIYNWoUgwYN4tdff2X+/PlERkbq3I6zszM5OTnMnz+foKAg9u3bx+LFizXqjB07Fnd3dwYPHkxISAhGRkYkJibStWtXrKysGD16NGFhYRgZGdG0aVOuX7/OqVOntLpZNTU1pWPHjoSHh5OWlqbM71AcFxcXMjIyiI+Pp2HDhmzZsoX169frfO2lbfDgwcydO5ehQ4cSGhpKeno6EyZMYNSoUcqwklatWhETE0NQUBCVKlVi/PjxWt2Ujx8/nvr161OnTh2ys7PZvHkzbm5uSnlwcDBVq1YtcZjHrl27OHfuHB9++GGhssuXL+Pn58eKFSvw9vZWghMPHjxg5cqVZGVlkZWVBTwNljzb7++++44nT57Qu3dvrd6rZ7Vp04br169ToUIFnY8VQgghhPin0zpAMWHCBODpMIHu3bu/8MmQEEL80wQHB/Pw4UO8vb3R19dn+PDhxU5e+CKenp7Mnj2biIgIxo4dS4sWLZg+fbrG5LE1a9bk559/5vPPP8fb2xu1Wk2jRo2UYEJ4eDgGBgaMHz+eK1euYGdnVyj4WJyC4RotWrTAwcGhxPrt27dn5MiRhIaGkp2dTbt27QgPD3/h3Ah/l6pVq7J161Y+++wzPD09sbCwYMCAARoTeo4dO5Zz584RGBhIxYoVmTJlilYZFEZGRowdO5bz58+jVqtp3rw58fHxSnlGRoZWk3AuW7aMJk2a4OrqWqgsJyeH9PR0Ze6RX3/9VcnUcXZ21qh77tw5jYk6ly1bRufOnalUqVKJfXieSqXSWJFECCGEEOJNosp/foCvlh4/fsyff/5ZaDyxNl+YxT9D27Zt+e9//1tk2eeff66RofFPlpWVRcWKFRm4aBtGatOSDxCvhai+zUuupAVfX1+8vLwKZRQJIYQQQgghXr2C+7WCJdiLo/Myo2fOnKF///6FZkUvmDzzZWbFF2Vj6dKlPHz4sMgyCwuLv7k3QgghhBBCCCH+zXQOUPTr1w8DAwM2b96MnZ1dkSt6iNdD1apVy7oLQvyjrFq1ikGDBhVZ5ujoyKlTp17Zub/88ku+/PLLIsuaN2/+Uiv3vCpl+T4JIYQQQog3l85DPExNTTl69GiRY3KFeNWys7PJzs7W2JeVlYW9vb0M8XjDlNYQD13cvXuXa9euFVlmaGiIo6PjKzv3rVu3NJbwfZZarf5HBRTL8n0SQgghhBCvl1c6xKN27drcuHHjpTsnxF8xffp0Jk2aVNbdEG8oMzMzzMzMyuTcFhYWr83QqrJ8n4QQQgghxJur5GnMnxMREUFYWBi7d+/m5s2bylJqzy6pJsSrMnbsWDIzMzVeFy9eLOtuCSGEEEIIIYT4i3QOULRu3ZqDBw/i5+eHjY0N5ubmmJubU6lSJczNzV9FH4VQGBsbU6FChUIvIf4KJyen12KVD5VKxYYNG7Su369fPzp27PjS5/P19WXEiBEvfbwQQgghhBC60DlAkZiYSGJiIrt27dJ4FewTQojXzZEjR/joo4/Kuhsl+uOPP2jbtm1Zd+O1sW7dOt59910sLS1RqVQkJycXqnP16lX69OmDra0tpqamvP3226xdu1brc8yYMQOVSlUokPPtt9/i6+tLhQoVUKlU3Llzp9Cxp0+fpkOHDlhZWVGhQgWaNWtGYmKijlcphBBCCPHm0HkOipYtW76Kfojn5OTkEB0dzenTp7GxsWH06NFl3SUh3ljW1tZl3QWt2NralnUX/haPHz/GyMjoL7dz//59mjVrRrdu3Rg4cGCRdYKDg7lz5w4bN27EysqKuLg4unXrxi+//EK9evWKbf/IkSN88803eHh4FCp78OABbdq0oU2bNowdO7bI4wMDA3FxcWHXrl2o1Wrmzp1LYGAgZ8+e/df8roUQQgghnqVzBkVSUlKxr3+z//znPxw6dAiASZMm/aXJRH/99VeuXbvGjBkzigxOnD59mk8++aTQ/s2bN7N48eKXPu+rlpWVxaeffvrC5RSFKG2+vr6EhoYSGhpKxYoVsbKyIjw8nGcXMNJliMfs2bNxd3fH1NQUe3t7Bg8ezL179zTq7Nu3D19fX0xMTDA3N8ff35/bt28DkJeXx8yZM3F2dsbY2BgHBwemTZum1bmfH+KRkpJCq1atUKvVWFpa8tFHHxXqCzz9PLK2tqZChQqEhITw+PFjrc5X0N+wsDAsLCywtbVl4sSJGuUZGRl06NCB8uXLU6FCBbp166axwkdRw0xGjBiBr6+vsl3wOxoxYgRWVlb4+/uTn5/PxIkTcXBwwNjYmCpVqjBs2DCt+w3Qp08fxo8fT+vWrV9YZ//+/QwdOhRvb2+qV6/OuHHjqFSpEkePHi227Xv37tGrVy+WLFlS5PDGESNGMGbMGBo3blzk8Tdu3ODMmTOMGTMGDw8PXFxcmDFjBg8ePODkyZM6XacQQgghxJtC5wCFr69vodc777yjvP7NLly4gKOjIw8fPuT+/ftYWVm9dFs3b97ExsYGQ0PDUuzhy8nPzycvL69U2vruu++wt7cvlbaE0FZsbCwGBgYcPnyYefPmMXv2bJYuXfpSbenp6fH1119z6tQpYmNj2bVrF2FhYUp5cnIyfn5+1K5dmwMHDrB3716CgoLIzc0Fnk70OmPGDMLDw0lNTSUuLo7KlSvr3I/79+/j7++Pubk5R44cYc2aNezcuZPQ0FCNegkJCaSlpbF7925Wr17NunXrdFoJJzY2FlNTUw4dOsTMmTOZPHkyO3bsAJ4GLzp06MCtW7fYs2cPO3bs4Pfff6d79+46X09sbCxGRkbs27ePxYsXs3btWubMmcM333zDmTNn2LBhA+7u7kr9iRMn4uTkpPN5ntekSRO+++47bt26RV5eHvHx8Tx69EgjgFKUIUOG0K5du2KDH8WxtLSkVq1arFixgvv37/PkyRO++eYbbGxsqF+//ku1KYQQQgjxutN5iEfBU8ACOTk5HDt2jPDwcK2fAr6JsrOzuXPnDpUrVyY9PR0HB4cSjzl06BDbt28nKyuLKlWq0LVrVxwcHFi7di27d+8mPz+fkSNH4ufnR2BgoM59ysnJIT4+nhMnTpCbm4u5uTl9+vTBycmJ/Px8du/eTVJSEllZWVSrVo0ePXpgZ2cHwLhx42jWrBknTpzg8uXLhIWFcfnyZbZs2UJWVhblypWjefPmBAQEaN2f48eP8+DBA7y9vWWctfhb2dvbM2fOHFQqFbVq1SIlJYU5c+a8MO2/OM/ONeDk5MTUqVMJCQlh4cKFAMycOZMGDRoo2wB16tQB4O7du8ybN4+oqCj69u0LQI0aNWjWrJnO/YiLi+PRo0esWLECU1NTAKKioggKCiIiIkIJehgZGREdHY2JiQl16tRh8uTJfPbZZ0yZMgU9vZJj1B4eHkyYMAEAFxcXoqKiSEhI4P/+7/9ISEggJSWFc+fOKYHHFStWUKdOHY4cOULDhg21vh4XFxdmzpypbG/ZsgVbW1tat26NoaEhDg4OeHt7K+VWVlbUqFFD6/Zf5Pvvv6d79+5YWlpiYGCAiYkJ69evx9nZ+YXHxMfH8+uvv3LkyJGXPq9KpWLnzp107NgRMzMz9PT0sLGxYfv27TLhtBBCCCH+tXQOUFSsWLHQvv/7v//DyMiIUaNGlZgW+6Y5duwYK1euJC8vj5ycHD799FOePHkCwCeffELr1q2LnNTuzJkzxMfHM3jwYKpXr86ePXuIiopi0qRJdOnSBWNjYy5dukRISMhL9+3QoUNcunSJSZMmoVar+fPPP5WMjKSkJPbv38/HH3+MpaUlSUlJLF68mPDwcAwMnv6zOHjwIB9//DHW1tZkZ2czffp0hg8fjouLCw8ePODPP/9UzjV16lT8/f1feEPy8OFD1q5dS2hoKGfPnn3paxLiZTRu3BiVSqVs+/j4EBkZSW5uLvr6+jq1tXPnTqZPn87//vc/srKyePLkCY8ePeLBgweYmJiQnJxM165dizw2LS2N7Oxs/Pz8/tL1FLTl6empBCcAmjZtSl5eHunp6UqAwtPTExMTE6WOj48P9+7d4+LFizg6OpZ4nufnV7Czs1P+9tPS0rC3t9fIiqpduzaVKlUiLS1NpwDF81kDXbt2Ze7cuVSvXp02bdoQEBBAUFCQ8vlUMGznrwoPD+fOnTvs3LkTKysrNmzYQLdu3fjvf/+rkbFR4OLFiwwfPpwdO3ZQrly5lz5vfn4+Q4YMwcbGhv/+97+o1WqWLl1KUFAQR44cUYLFQgghhBD/JjoP8XiRgsyBf5t69eoRGRlJq1ataNeuHZGRkVSvXp0hQ4YQGRn5whn3Dx8+jLe3Ny4uLujr69OqVStMTExKdeyxvr4+2dnZXL16lfz8fCpXroyFhQXwNEARGBiIjY0N+vr6vPPOOzx+/Jjz588rx7do0YLKlSujp6eHnp4e+vr6XL16lYcPH2JiYqKRXj1u3Lhib0bWr19P48aNsbGxKbXrE+Lvdv78eQIDA/Hw8GDt2rUcPXqUBQsWACjzOqjV6hceX1zZP9Xzw8xUKpVOQ7709PQ05vuAp9ldz3s20AJPs17S09NZuHAharWawYMH06JFiyKPfVlnz54lKiqK6Oho/Pz88PT0ZMKECTRo0ED5vT7v6NGj/Pnnn7z99tsYGBhgYGDAnj17+PrrrzEwMFCG8pRk165dbN68mfj4eJo2bcrbb7+tXGtsbGypXaMQQgghxOtE5wyKEydOaGzn5+fzxx9/MGPGDLy8vEqrX6+dM2fO0L59e3Jzc7l48SJvvfVWsfVv375NzZo1NfZZWVkVGkLzIvr6+kV+EX72ibC3tzeZmZmsXr2a27dv4+HhQefOnSlfvjw3b94kJiZGI8X7yZMnGud/Ns3Y2NiYjz/+mISEBNavX0/VqlUJDAykVq1aJfb1t99+4+zZsy+cyV6IV61g8toCBw8eVIKDujh69Ch5eXlERkYqfzvff/+9Rh0PDw8SEhKKnOfBxcUFtVpNQkICH374oY5XocnNzY2YmBju37+v3Nzv27cPPT09jb/L48eP8/DhQyU4cvDgQcqXL18qc8G4ublx8eJFLl68qLSXmprKnTt3qF27NvB0hZTnA6/Jyclaza+jVqsJCgoiKCiIIUOG4OrqSkpKCm+//fZf7js8XWkDKDTURV9f/4VBGD8/P1JSUjT2ffDBB7i6ujJ69Git/0296Nx6enqlNuePEEIIIcTrRucAhZeXFyqVqtATscaNGxMdHV1qHXsd5OTkMGbMGAAePXrEokWLlKEeY8aMoUqVKkWutAFPb/5v3rypse/mzZtajz22sLDg8ePH3L17FzMzM2X/jRs3sLS0BJ5+yS5Y5i4rK4vo6Gi2bNlC9+7dMTc357333lPGxhfl2ZR4AFdXV1xdXcnNzWXPnj188803zJo1q8Rx7P/73/+4ceOGEqB48uQJOTk5fPbZZ4wbN67IYUNClKaMjAxGjRrFoEGD+PXXX5k/fz6RkZE6t+Ps7ExOTg7z588nKChImdDxWWPHjsXd3Z3BgwcTEhKCkZERiYmJdO3aFSsrK0aPHk1YWBhGRkY0bdqU69evc+rUKQYMGKBTX3r16sWECRPo27cvEydO5Pr16wwdOpQ+ffpoTLr5+PFjBgwYwLhx4zh//jwTJkwgNDRUq/knStK6dWvc3d3p1asXc+fO5cmTJwwePJiWLVvSoEEDAFq1asVXX33FihUr8PHxYeXKlZw8ebLEJTxjYmLIzc2lUaNGmJiYsHLlStRqtTIsJSoqivXr15OQkPDCNm7dukVGRgZXrlwBULL8bG1tsbW1xdXVFWdnZwYNGsSsWbOwtLRkw4YN7Nixg82bNxfZppmZGXXr1tXYZ2pqiqWlpcb+q1evcvXqVX777Tfg6YorZmZmODg4YGFhgY+PD+bm5vTt25fx48ejVqtZsmQJ586do127dsW+N0IIIYQQbyqdAxTnzp3T2NbT08Pa2vovjcV9XRkaGhIZGUlqaipJSUmEhISwadMmjIyM8Pf3L/bYhg0bsnjxYry9vXFyciIpKYn79+8XGzB4lrm5OS4uLqxdu5Zu3bphbGxMWloaJ06cUIIi6enpmJiYUKVKFYyMjDA0NFSe7rVo0YLNmzdjZWVF5cqVefjwIadPn6ZWrVpF/i6zsrL4/fffcXV1xdjYGLVarfWTQj8/P5o2baps//rrr+zfv5/Q0FCN4IoQr0pwcDAPHz7E29sbfX19hg8fzkcffaRzO56ensyePZuIiAjGjh1LixYtmD59OsHBwUqdmjVr8vPPP/P555/j7e2NWq2mUaNG9OzZE0CZ52X8+PFcuXIFOzu7l5prxsTEhJ9++onhw4fTsGFDTExM6NKlC7Nnz9ao5+fnh4uLCy1atCA7O5uePXsWWir0ZalUKn788UeGDh1KixYt0NPTo02bNsyfP1+p4+/vT3h4OGFhYTx69Ij+/fsTHBxcKAvheZUqVWLGjBmMGjWK3Nxc3N3d2bRpkxKAvXHjRonz2WzcuJEPPvhA2e7RowcAEyZMYOLEiRgaGrJ161bGjBlDUFAQ9+7dw9nZmdjYWI0JgH19fXFyciImJkbr92bx4sUaWTQtWrQAYPny5fTr1w8rKyu2b9/OF198QatWrcjJyaFOnTr8+OOPeHp6an0eIYQQQog3iSr/+VQIobO4uDgcHR1p2rQp06ZNY8CAAdja2pZ43MGDB/npp5/IzMxUVvEoeDq4efPmEifJzMzMZP369aSnp/P48WOsra0JCAhQJrU7cuQIW7du5c6dOxgaGuLq6kqPHj0wMTEhPz+fpKQkkpKSuH37NsbGxtSoUYPevXtTrlw5xo0bx3vvvacM28nMzCQ6OppLly6Rn5+PjY0NnTp1UlLJp0yZgr+/v8Ys+y9y4MABEhMT+fzzz0usq42srCwqVqzIwEXbMFKblnyAeC1E9W1eKu34+vri5eXF3LlzS6W9spKdnU25cuXYsWPHSy9tKV6Oo6MjkyZNol+/fmXdFSGEEEKI107B/VpmZiYVKlQotu5LBSj27NnDrFmzSEtLA57O2v7ZZ5/RvHnp3FAIoQsJULyZJEDx/2RlZbFu3ToGDBjAhQsXqFatWll36V/j1KlT9OzZk+Tk5FIZFiOEEEII8W+jS4BC529bK1eupHXr1piYmDBs2DCGDRuGWq3Gz8+PuLi4l+60EEKUtVWrVlG+fPkiX9oOv3pZX3755QvP3aFDB0aPHk1ERESpBScyMjJeeL7y5cuTkZFRKud53dWpU4cTJ05IcEIIIYQQ4m+gcwaFm5sbH330ESNHjtTYP3v2bJYsWaJkVQjxd5EMijdTaWVQ6OLu3btcu3atyDJDQ0NlCNarcOvWLW7dulVkmVqtpmrVqqV6vidPnmgsK/w8JycnDAx0nqZICCGEEEIIDbpkUOj87fP3338nKCio0P727duX2pwCQghRFszMzMps4lYLCwssLCz+tvMZGBjg7Oz8t51PCCGEEEKIkuics2pvb1/ksm47d+7E3t6+VDolhBBCCCGEEEKIfxedMyg++eQThg0bRnJyMk2aNAFg3759xMTEMG/evFLvoBBCCCGEEEIIId58L7WKx/r164mMjFTmm3Bzc+Ozzz6jQ4cOpd5BIUqiy5gmIYQQQgghhBB/n1e+zKgQ/yQSoBBCCCGEEEKIf6ZXuszokSNHOHToUKH9hw4d4pdfftG1OSGEEEIIIYQQQgjdAxRDhgzh4sWLhfZfvnyZIUOGlEqnhBBCCCGEEEII8e+ic4AiNTWVt99+u9D+evXqkZqaWiqdEkIIIYQQQgghxL+LzgEKY2Njrl27Vmj/H3/8gYGBzouCCCGEEEIIIYQQQugeoHj33XcZO3YsmZmZyr47d+7w+eef83//93+l2jkhhBBCCCGEEEL8O+ic8jBr1ixatGiBo6Mj9erVAyA5OZnKlSvzn//8p9Q7KIQQQgghhBBCiDefzgGKqlWrcuLECVatWsXx48dRq9V88MEH9OzZE0NDw1fRRyGEEEIIIYQQQrzhXmrSCFNTUz766KPS7osQQgghhBBCCCH+pXSeg2L69OlER0cX2h8dHU1ERESpdEoIIYQQQgghhBD/LjpnUHzzzTfExcUV2l+nTh169OjB6NGjS6VjQuhq7s/HKWdSvqy7IV5SWEC9su6CEEIIIYQQogzpnEFx9epV7OzsCu23trbmjz/+KJVOCSGEEEIIIYQQ4t9F5wCFvb09+/btK7R/3759VKlSpVQ6JYQQQgghhBBCiH8XnYd4DBw4kBEjRpCTk0OrVq0ASEhIICwsjE8++aTUOyiEEEIIIYQQQog3n84ZFJ999hkDBgxg8ODBVK9enerVqzN06FCGDRvGmDFjXkUfxd/EycmJuXPnal3/0aNH9OvXD3d3dwwMDOjYsWOhOv369UOlUhV61alTp/Q6LoQQQgghhBDitadzgEKlUhEREcH169c5ePAgx48f59atW4wfP568vLxX0UfxD5Wbm4tarWbYsGG0bt26yDrz5s3jjz/+UF4XL17EwsKCrl27/s29FUKTrgE5UTKVSsWGDRvKuhtCCCGEEOI1pXOAokD58uVp2LAhdevW5cKFC4wePZpq1aqVZt9eK9u3b6dZs2ZUqlQJS0tLAgMDOXv2rFJ+6dIlevbsiYWFBaampjRo0IBDhw4p5Zs2baJhw4aUK1cOKysrOnXqpJTdvn2b4OBgzM3NMTExoW3btpw5c0YpnzhxIl5eXhr9mTt3Lk5OTsp2v3796NixI7NmzcLOzg5LS0uGDBlCTk4OAL6+vly4cIGRI0cqWQ4lMTU1ZdGiRQwcOBBbW9si61SsWBFbW1vl9csvv3D79m0++OCDEtsX4lU6cuQIH330UVl3Q/xD7N69u8hsL5VKxZEjR1543KNHjxgyZAiWlpaUL1+eLl26cO3aNaU8Jibmhe3++eefL2y3oM7Bgwc19mdnZ2NpaYlKpWL37t1/+bqFEEIIIf5JXjpA8eDBA5YvX07z5s2pXbs2e/bsYdSoUaXZt9fK/fv3GTVqFL/88gsJCQno6enRqVMn8vLyuHfvHi1btuTy5cts3LiR48ePExYWpmScbNmyhU6dOhEQEMCxY8dISEjA29tbabtfv3788ssvbNy4kQMHDpCfn09AQIASXNBWYmIiZ8+eJTExkdjYWGJiYoiJiQFg3bp1VKtWjcmTJyvZDq/CsmXLaN26NY6Ojq+kfSG0ZW1tjYmJSVl3o9Q9fvy4rLvwt9P1s7AoTZo00cj2+uOPP/jwww956623aNCgwQuPGzlyJJs2bWLNmjXs2bOHK1eu0LlzZ6W8e/fuhdr19/enZcuW2NjYFNsne3t7li9frrFv/fr1lC8vyykLIYQQ4s2kc4Di4MGDfPjhh9jZ2TF79mwOHDhAYmIiBw8e5LPPPnsVfXwtdOnShc6dO+Ps7IyXlxfR0dGkpKSQmppKXFwc169fZ8OGDTRr1gxnZ2e6deuGj48PANOmTaNHjx5MmjQJNzc3PD09GTt2LABnzpxh48aNLF26lObNm+Pp6cmqVau4fPmyzqnU5ubmREVF4erqSmBgIO3atSMhIQEACwsL9PX1MTMzU7IdStuVK1fYtm0bH374Yam3LcSzfH19CQ0NJTQ0lIoVK2JlZUV4eDj5+flKHV2GeMyePRt3d3dMTU2xt7dn8ODB3Lt3T6POvn378PX1xcTEBHNzc/z9/bl9+zYAeXl5zJw5E2dnZ4yNjXFwcGDatGklnrdJkyaMHj1aY9/169cxNDQkKSlJuY4pU6YQHBxMhQoVlKyQ0aNHU7NmTUxMTKhevTrh4eEaN/IFmVfR0dE4ODhQvnx5Bg8eTG5uLjNnzsTW1hYbGxut+vmsGzdu0KlTJ0xMTHBxcWHjxo0a5Xv27MHb2xtjY2Ps7OwYM2YMT548UcqL+r14eXkxceJEZVulUrFo0SLat2+Pqakp06ZN4/bt2/Tq1Qtra2vUajUuLi6Fbu6LY2RkpJHtZWlpyY8//sgHH3zwwoyyzMxMli1bxuzZs2nVqhX169dn+fLl7N+/X8l8UKvVGu3q6+uza9cuBgwYUGKf+vbtS3x8PA8fPlT2RUdH07dvX62vSwghhBDidaJ1gCIyMpI6derw3nvvYW5uTlJSEikpKahUKiwtLV9lH18LZ86coWfPnlSvXp0KFSoowysyMjJITk6mXr16WFhYFHlscnIyfn5+RZalpaVhYGBAo0aNlH2WlpbUqlWLtLQ0nfpYp04d9PX1lW07O7tiU4xLW2xsLJUqVSpyMk0hSltsbCwGBgYcPnyYefPmMXv2bJYuXfpSbenp6fH1119z6tQpYmNj2bVrF2FhYUp5wd9w7dq1OXDgAHv37iUoKIjc3FwAxo4dy4wZMwgPD1eClpUrVy7xvL169SI+Pl4jsPLdd99RpUoVmjdvruybNWsWnp6eHDt2jPDwcADMzMyIiYkhNTWVefPmsWTJEubMmaPR/tmzZ9m2bRvbt29n9erVLFu2jHbt2nHp0iX27NlDREQE48aN0xiOVpJJkybRrVs3Tpw4QUBAAL169eLWrVsAXL58mYCAABo2bMjx48dZtGgRy5YtY+rUqVq3X2DixIl06tSJlJQU+vfvr7y327ZtIy0tjUWLFmFlZaXU9/X1pV+/flq3v3HjRm7evFnscLSjR4+Sk5OjMQePq6srDg4OHDhwoMhjVqxYgYmJCe+9916Jfahfvz5OTk6sXbsWePr/SVJSEn369NH6OoQQQgghXidaLzM6evRoRo8ezeTJkzVucsVTQUFBODo6smTJEqpUqUJeXh5169bl8ePHqNXqYo8tqbwkenp6GjcwUHTKs6Ghoca2SqX62yY2zc/PJzo6mj59+mBkZPS3nFP8u9nb2zNnzhxUKhW1atUiJSWFOXPmMHDgQJ3bGjFihPKzk5MTU6dOJSQkhIULFwIwc+ZMGjRooGwDyko1d+/eZd68eURFRSlPvmvUqEGzZs1KPG+3bt0YMWIEe/fuVQIScXFx9OzZU+OpfqtWrQot8zxu3DiNPn/66afEx8drBFby8vKIjo7GzMyM2rVr884775Cens7WrVvR09OjVq1aREREkJiYqBEkLU6/fv3o2bMnAF9++SVff/01hw8fpk2bNixcuBB7e3uioqJQqVS4urpy5coVRo8ezfjx49HT0z6p7/3339cIHmRkZFCvXj1lOMazc/AAODg4YGdnp3X7y5Ytw9/fv9i5la5evYqRkRGVKlXS2F+5cmWuXr36wnbff/99rT/3+/fvT3R0NL179yYmJoaAgACsra21vg4hhBBCiNeJ1t8Gp0yZwpo1a3jrrbcYPXo0J0+efJX9eq3cvHmT9PR0xo0bh5+fH25ubkpqN4CHhwfJycnKU8TneXh4KEMtnufm5saTJ080nmAWnK927drA07H0V69e1QhSJCcn63wdRkZGyhPf0rZnzx5+++03rdKahSgNjRs31riJ9/Hx4cyZMy/1b3znzp34+flRtWpVzMzM6NOnDzdv3uTBgwdAyVlQ2dnZLywvjrW1Ne+++y6rVq0C4Ny5cxw4cIBevXpp1CtqjoTvvvuOpk2bYmtrS/ny5Rk3bhwZGRkadZycnDAzM1O2K1euTO3atTUCBZUrV9Yp08rDw0P52dTUlAoVKijHp6Wl4ePjo/F7adq0Kffu3ePSpUtanwMKX/PHH39MfHw8Xl5ehIWFsX//fo3yFStWMH36dK3avnTpEj/99FOpf14dOHCAtLQ0ndrt3bs3Bw4c4PfffycmJob+/fuXap+EEEIIIf5JtA5QjB07ltOnT/Of//yHq1ev0qhRIzw9PcnPz9e4Gf83Mjc3x9LSkm+//ZbffvuNXbt2aUwY2rNnT2xtbenYsSP79u3j999/Z+3atUoK8IQJE1i9ejUTJkwgLS2NlJQUIiIiAHBxcaFDhw4MHDiQvXv3cvz4cXr37k3VqlXp0KED8DR1+fr168ycOZOzZ8+yYMECtm3bpvN1ODk5kZSUxOXLl7lx44ZWx6SmpirBl8zMTJKTk4sMjixbtoxGjRpRt25dnfslRFk6f/48gYGBeHh4sHbtWo4ePcqCBQuA/zchZXFPw/9qhlSvXr344YcfyMnJIS4uDnd3d9zd3TXqmJqaamwXBDECAgLYvHkzx44d44svvig0gWZRWVV/NdPqrx6vbUbY89fctm1bZSWiK1eu4Ofnx6effqr1eZ+1fPlyLC0tad++fbH1bG1tefz4MXfu3NHYf+3atSLn8Vm6dCleXl7Ur19f674UrAo1YMAAHj16RNu2bbU+VgghhBDidaPzJJktW7YkNjaWq1evMnjwYOrXr0/Lli1p0qQJs2fPfhV9/MfT09MjPj6eo0ePUrduXUaOHMlXX32llBsZGfHzzz9jY2NDQEAA7u7uzJgxQxkq4+vry5o1a9i4cSNeXl60atWKw4cPK8cvX76c+vXrExgYiI+PD/n5+WzdulW5EXBzc2PhwoUsWLAAT09PDh8+/FJfzCdPnsz58+epUaOG1inEAQEB1KtXj02bNrF7927q1atHvXr1NOpkZmaydu1ayZ4Qf6vn5004ePAgLi4uOg9RO3r0KHl5eURGRtK4cWNq1qzJlStXNOoUlwXl4uKCWq1+YXlJOnTowKNHj9i+fTtxcXGFsieKsn//fhwdHfniiy9o0KABLi4uXLhw4aXOX5rc3NyUlYgK7Nu3DzMzM2UohbW1tcYqQllZWZw7d06r9q2trenbty8rV65k7ty5fPvttzr3MT8/n+XLlxMcHFwo2PK8+vXrY2hoqPG7TU9PJyMjQ5kEucC9e/f4/vvvX+pzsH///uzevZvg4GAZYimEEEKIN5rWc1A8z8zMjEGDBjFo0CBSUlJYtmwZM2bM+NcuNdq6dWtSU1M19j37JdzR0ZEffvjhhcd37txZY2m6Z5mbm7NixYpizx8SEkJISIjGvs8//1z5uWA50Wc9P1N+48aNOX78eLHned758+dLrFOxYkUlFV6Iv0tGRgajRo1i0KBB/Prrr8yfP5/IyEid23F2diYnJ4f58+cTFBTEvn37WLx4sUadsWPH4u7uzuDBgwkJCcHIyIjExES6du2KlZUVo0ePJiwsDCMjI5o2bcr169c5deqUVjerpqamdOzYkfDwcNLS0pT5HYrj4uJCRkYG8fHxNGzYkC1btrB+/Xqdr720DR48mLlz5zJ06FBCQ0NJT09nwoQJjBo1ShlW0qpVK2JiYggKCqJSpUqMHz9eq5vy8ePHU79+ferUqUN2djabN2/Gzc1NKQ8ODqZq1aolDvPYtWsX586dK3K1ocuXL+Pn58eKFSvw9vamYsWKDBgwgFGjRmFhYUGFChUYOnQoPj4+NG7cWOPY7777jidPntC7d29t3ioNbdq04fr161SoUEHnY4UQQgghXic6Z1AUxd3dnblz53L58uXSaE4IIf6y4OBgHj58iLe3N0OGDGH48OHKEpy68PT0ZPbs2URERFC3bl1WrVpV6Ca3Zs2a/Pzzzxw/fhxvb298fHz48ccfMTB4GgMODw/nk08+Yfz48bi5udG9e3ed5nXo1asXx48fp3nz5jg4OJRYv3379owcOZLQ0FC8vLzYv3+/srpHWapatSpbt27l8OHDeHp6EhISwoABAzQm9Bw7diwtW7ZUlkLu2LEjNWrUKLFtIyMjxo4di4eHBy1atEBfX5/4+HilPCMjQyMz40WWLVtGkyZNcHV1LVSWk5NDenq6RsB1zpw5BAYG0qVLF1q0aIGtrS3r1q0rst3OnTsXmlBTGyqVCisrK5lgWAghhBBvPFX+84N9hfj/tW3blv/+979Fln3++ecaGRplKSsri4oVKzJpTRLlTMqXdXfESwoLqFdyJS35+vri5eVVKEtICCGEEEII8fcquF/LzMwsMSP0pYd4iDff0qVLefjwYZFlFhYWf3NvhBBCCCGEEEK8yUpliId4M1WtWhVnZ+ciXxKgEG+KVatWUb58+SJfderUeaXn/vLLL1947n/aag1l+T4JIYQQQoh/BxniIV4r2dnZZGdna+zLysrC3t5ehni85kpziIcu7t69y7Vr14osMzQ0xNHR8ZWd+9atW9y6davIMrVaTdWqVV/ZuXVVlu+TEEIIIYR4fb2SIR5ZWVla1ZNZxsWrNH36dCZNmlTW3RBvEDMzM8zMzMrk3BYWFq9NNlJZvk9CCCGEEOLfQeshHpUqVcLc3PyFr4JyIV6lsWPHkpmZqfG6ePFiWXdLvIacnJxei0k0VSoVGzZs0Lp+v3796Nix40ufz9fXlxEjRrz08UIIIYQQQrwsrTMoEhMTX2U/hNCKsbExxsbGZd0N8QY4cuQIpqamZd2NEv3xxx8S/NXBvXv3GDNmDBs2bODmzZu89dZbDBs2jJCQEKWOr68ve/bs0Thu0KBBLF68uMg2c3JyGDduHFu3buX333+nYsWKtG7dmhkzZlClShWl3q1btxg6dCibNm1CT0+PLl26MG/ePMqXfzr07NGjR4SEhHD06FHS0tIIDAzUKfgkhBBCCPGm0zpA0bJly1fZD/GcnJwcoqOjOX36NDY2NowePbqsuyTEG8Xa2rqsu6AVW1vbsu7C3+Lx48cYGRn95XZGjRrFrl27WLlyJU5OTvz8888MHjyYKlWq0L59e6XewIEDmTx5srJtYmLywjYfPHjAr7/+Snh4OJ6enty+fZvhw4fTvn17fvnlF6Ver169+OOPP9ixYwc5OTl88MEHfPTRR8TFxQGQm5uLWq1m2LBhrF279i9fqxBCCCHEm0brIR55eXlERETQtGlTGjZsyJgxY164BOW/1X/+8x8OHToEwKRJk7hx48ZLt/Xrr79y7do1ZsyYUWRw4vTp03zyySeF9m/evPmFTwHL0pIlSxgzZgyjRo0iPDycbdu2lXWXxBvM19eX0NBQQkNDqVixIlZWVoSHh/PsnMC6DPGYPXs27u7umJqaYm9vz+DBg7l3755GnX379uHr64uJiQnm5ub4+/tz+/Zt4Onn58yZM3F2dsbY2BgHBwemTZum1bmfH+KRkpJCq1atUKvVWFpa8tFHHxXqCzz9DLK2tqZChQqEhITw+PFjrc5X0N+wsDAsLCywtbVl4sSJGuUZGRl06NCB8uXLU6FCBbp166YxgWZRw0xGjBiBr6+vsl3wOxoxYgRWVlb4+/uTn5/PxIkTcXBwwNjYmCpVqjBs2DCt+w2wf/9++vbti6+vL05OTnz00Ud4enpy+PBhjXomJibY2toqr+LmT6pYsSI7duygW7du1KpVi8aNGxMVFcXRo0fJyMgAIC0tje3bt7N06VIaNWpEs2bNmD9/PvHx8Vy5cgUAU1NTFi1axMCBA/81gSchhBBCCF1oHaCYNm0an3/+OeXLl6dq1arMmzePIUOGvMq+vXYuXLiAo6MjDx8+5P79+1hZWb10Wzdv3sTGxgZDQ8NS7OHLyc/PJy8v7y+1ERAQwJQpU5g9ezYjR47kyJEjSjBHiFchNjYWAwMDDh8+zLx585g9ezZLly59qbb09PT4+uuvOXXqFLGxsezatYuwsDClPDk5GT8/P2rXrs2BAwfYu3cvQUFB5ObmAk/nTpkxYwbh4eGkpqYSFxdH5cqVde7H/fv38ff3x9zcnCNHjrBmzRp27txJaGioRr2EhATS0tLYvXs3q1evZt26dTpNLhsbG4upqSmHDh1i5syZTJ48mR07dgBPgxcdOnTg1q1b7Nmzhx07dvD777/TvXt3na8nNjYWIyMj9u3bx+LFi1m7di1z5szhm2++4cyZM2zYsAF3d3el/sSJE3Fyciq2zSZNmrBx40YuX75Mfn4+iYmJnD59mnfffVej3qpVq7CysqJu3bqMHTuWBw8e6NT3zMxMVCoVlSpVAuDAgQNUqlSJBg0aKHVat26Nnp6efNYJIYQQQmhJ6yEeK1asYOHChQwaNAiAnTt30q5dO5YuXYqentZxjjdWdnY2d+7coXLlyqSnp+Pg4FDiMYcOHWL79u1kZWVRpUoVunbtioODA2vXrmX37t3k5+czcuRI/Pz8CAwM1LlPOTk5xMfHc+LECXJzczE3N6dPnz44OTmRn5/P7t27SUpKIisri2rVqtGjRw/s7OwAGDduHM2aNePEiRNcvnyZsLAwLl++zJYtW8jKyqJcuXI0b96cgIAArfry/HKJKpWK69ev63xNQmjL3t6eOXPmoFKpqFWrFikpKcyZM4eBAwfq3Nazk0Y6OTkxdepUQkJCWLhwIQAzZ86kQYMGyjZAnTp1gKfLc86bN4+oqCj69u0LQI0aNWjWrJnO/YiLi+PRo0esWLFCmT8jKiqKoKAgIiIilKCHkZER0dHRmJiYUKdOHSZPnsxnn33GlClTtPq89vDwYMKECQC4uLgQFRVFQkIC//d//0dCQgIpKSmcO3cOe3t74On/D3Xq1OHIkSM0bNhQ6+txcXFh5syZyvaWLVuwtbWldevWGBoa4uDggLe3t1JuZWVFjRo1im1z/vz5fPTRR1SrVg0DAwP09PRYsmQJLVq0UOq8//77ODo6UqVKFU6cOMHo0aNJT09n3bp1WvX70aNHjB49mp49eyqZF1evXsXGxkajnoGBARYWFly9elWrdoUQQggh/u20DlBkZGRo3Iy2bt0alUrFlStXqFat2ivp3Ovg2LFjrFy5kry8PHJycvj000958uQJAJ988gmtW7embdu2hY47c+YM8fHxDB48mOrVq7Nnzx6ioqKYNGkSXbp0wdjYmEuXLmlM7KarQ4cOcenSJSZNmoRarebPP/9UMjKSkpLYv38/H3/8MZaWliQlJbF48WLCw8MxMHj6z+LgwYN8/PHHWFtbk52dzfTp0xk+fDguLi48ePCAP//8UznX1KlT8ff3L/bmZPXq1Rw8eJCcnBwsLCxo3LjxS1+bECVp3LgxKpVK2fbx8SEyMpLc3Fz09fV1amvnzp1Mnz6d//3vf2RlZfHkyRMePXrEgwcPMDExITk5ma5duxZ5bFpaGtnZ2fj5+f2l6yloy9PTU2Nyz6ZNm5KXl0d6eroSoPD09NSYU8HHx4d79+5x8eJFHB0dSzyPh4eHxradnZ3y956Wloa9vb0SnACoXbs2lSpVIi0tTacARf369TW2u3btyty5c6levTpt2rQhICCAoKAg5TOpYNhOcebPn8/BgwfZuHEjjo6OJCUlMWTIEKpUqULr1q0B+Oijj5T67u7u2NnZ4efnx9mzZ0sMgOTk5NCtWzfy8/NZtGiR1tcqhBBCCCFKpnWA4smTJ5QrV05jn6GhITk5OaXeqddJvXr1qFevHps2bcLAwIC2bdsyb9482rZtS82aNV943OHDh/H29sbFxQWAVq1akZSUxMmTJ3X6gl8cfX19srOzuXr1Kk5OThop5UlJSbRv31554vfOO+/w888/c/78eZydnQFo0aKFcoyenh76+vpcvXqVatWqYWJiopFqPW7cuBL707NnT7p3787Fixc5ceJEsZPSCfFPcf78eQIDA/n444+ZNm0aFhYW7N27lwEDBvD48WNMTExQq9UvPL64sn+q54eWqVQqnYZ56enpacz3ART5f8Xzq6jY29uTnp7Ozp072bFjB4MHD+arr75iz549Wg13e/jwIZ9//jnr16+nXbt2wNNgS3JyMrNmzVICFM9r1KgRAL/99luxAYqC4MSFCxfYtWuXxrwVtra2GkFbePr/5q1bt2S+CSGEEEIILWkdoMjPz6dfv34aSzwWLJn27JdMbVNk3zRnzpyhffv25ObmcvHiRd56661i69++fbtQAMPKykqZVK8k+vr6yvj2Zz37dNjb25vMzExWr17N7du38fDwoHPnzpQvX56bN28SExOjke795MkTjfM/u7ShsbExH3/8MQkJCaxfv56qVasSGBhIrVq1tOpvAT09PRwdHTl9+jTr1q2jd+/eOh0vhLaeH/d/8OBBXFxcdM6eOHr0KHl5eURGRip/L99//71GHQ8PDxISEoqc58HFxQW1Wk1CQgIffvihjlehyc3NjZiYGO7fv6987u7btw89PT2Nv8Xjx4/z8OFDJThy8OBBypcvr5H18Ff6cPHiRS5evKi0l5qayp07d6hduzbwdIWUkydPahyXnJysVZBBrVYTFBREUFAQQ4YMwdXVlZSUFN5+++0Sj83JySEnJ6fQMBZ9ff1iAyzJyckAyhC3F7XdrVs3zpw5Q2JiIpaWlhrlPj4+3Llzh6NHjyqZIbt27SIvL08JgAghhBBCiOJpHaAoGDv9rH/7zWVOTg5jxowBngZrFi1apAz1GDNmDFWqVClypQ14evN/8+ZNjX03b97UCAoUx8LCgsePH3P37l3MzMyU/Tdu3FC+OOvr69OmTRvatGlDVlYW0dHRbNmyhe7du2Nubs57772njJMvyrPp8QCurq64urqSm5vLnj17+Oabb5g1a9ZLzUGSm5tb6GmjEKUpIyODUaNGMWjQIH799Vfmz59PZGSkzu04OzuTk5PD/PnzCQoKUiZ0fNbYsWNxd3dn8ODBhISEYGRkRGJiIl27dsXKyorRo0cTFhaGkZERTZs25fr165w6dYoBAwbo1JdevXoxYcIE+vbty8SJE7l+/TpDhw6lT58+GhlSjx8/ZsCAAYwbN47z588zYcIEQkNDS2W+oNatW+Pu7k6vXr2YO3cuT548YfDgwbRs2VKZILJVq1Z89dVXrFixAh8fH1auXMnJkyepV69esW3HxMSQm5tLo0aNMDExYeXKlajVamVYSlRUFOvXrychIaHI4ytUqEDLli357LPPlOP27NnDihUrmD17NgBnz54lLi6OgIAALC0tOXHiBCNHjqRFixaFhrYUyMnJ4b333uPXX39l8+bN5ObmKvNKWFhYYGRkhJubG23atGHgwIEsXryYnJwcQkND6dGjB1WqVFHaSk1N5fHjx9y6dYu7d+8qwREvLy+tfwdCCCGEEG8qrQMUy5cvf5X9eC0ZGhoSGRlJamoqSUlJhISEsGnTJoyMjPD39y/22IYNG7J48WK8vb1xcnIiKSmJ+/fvFxsweJa5uTkuLi6sXbuWbt26YWxsTFpaGidOnFCCIunp6ZiYmFClShWMjIwwNDRUnh63aNGCzZs3Y2VlReXKlXn48CGnT5+mVq1ahYbyAGRlZfH777/j6uqKsbExarVa6yfRN2/eJCMjAzc3N4yMjDh37hy7d+/WWHJQiNIWHBzMw4cP8fb2Rl9fn+HDh2vMPaAtT09PZs+eTUREBGPHjqVFixZMnz6d4OBgpU7NmjX5+eef+fzzz/H29katVtOoUSN69uwJoMztMn78eK5cuYKdnd1LzS9jYmLCTz/9xPDhw2nYsCEmJiZ06dJFufku4Ofnh4uLCy1atCA7O5uePXsWWir0ZalUKn788UeGDh1KixYt0NPTo02bNsyfP1+p4+/vT3h4OGFhYTx69Ij+/fsTHBxMSkpKsW1XqlSJGTNmMGrUKHJzc3F3d2fTpk1K0PXGjRucPXu22Dbi4+MZO3YsvXr14tatWzg6OjJt2jTl/TYyMmLnzp3MnTuX+/fvY29vT5cuXQoNU3NycqJfv35MnDiRy5cvs3HjRqBwICExMVH5LFu1ahWhoaH4+fmhp6dHly5d+PrrrzXqBwQEcOHCBWW7IGjz/JAYIYQQQoh/I1W+fCv6y+Li4nB0dKRp06ZMmzaNAQMGaDXm+ODBg/z0009kZmYqq3gUPCncvHlziZNkZmZmsn79etLT03n8+DHW1tYEBAQoTwGPHDnC1q1buXPnDoaGhri6utKjRw9MTEzIz88nKSmJpKQkbt++jbGxMTVq1KB3796UK1eOcePG8d577ylfxjMzM4mOjubSpUvk5+djY2NDp06dlLTyKVOm4O/vrzHjfoGC4SRXrlwhPz+fihUr4u3tjb+/f6k80c3KyqJixYpMWpNEOZPyf7k9UTbCAop/uq4LX19fvLy8mDt3bqm1WRays7MpV64cO3bseOH8CaL0PXjwAEtLS7Zt2yaBVCGEEEKIv6jgfi0zM1NjDq+iSIBCvPYkQPFmkACFpqysLNatW8eAAQO4cOHCv3q1pL/bli1bWLhwIVu2bCnrrgghhBBCvPZ0CVD89cfXQgjxGlu1ahXly5cv8qXtkKuX9eWXX77w3B06dGD06NFERESUWnAiIyPjhecrX748GRkZpXKe1127du0kOCGEEEIIUQYkg0K89iSD4s1QmhkUurh79y7Xrl0rsszQ0FAZdvUq3Lp1i1u3bhVZplarqVq1aqme78mTJ5w/f/6F5U5OThgYaD01kRBCCCGEECXSJYNCvokKIf7VzMzMNFbC+TtZWFhgYWHxt53PwMAAZ2fnv+18QgghhBBC6EKGeAghhBBCCCGEEKLMSYBCCCGEEEIIIYQQZU4CFEIIIYQQQgghhChzMgeFeGOMeNezxElXhBBCCCGEEEL8M0kGhRBCCCGEEEIIIcqcBCiEEEIIIYQQQghR5iRAIYQQQgghhBBCiDInAQohhBBCCCGEEEKUOQlQCCGEEEIIIYQQosxJgEIIIYQQQgghhBBlTgIUQgghhBBCCCGEKHMSoBBCCCGEEEIIIUSZkwCFEEIIIYQQQgghypxBWXdAiNKy7pezmJQvX9bdEMXo5u1S1l0QQgghhBBC/ENJBoUQQgghhBBCCCHKnAQohBBCCCGEEEIIUeYkQCGEEEIIIYQQQogyJwEKoXBycmLu3Lk6HfP999/j5eWFiYkJjo6OfPXVV4XqrFq1Ck9PT0xMTLCzs6N///7cvHmzlHothBBCCCGEEOJNIAEK8dK2bdtGr169CAkJ4eTJkyxcuJA5c+YQFRWl1Nm3bx/BwcEMGDCAU6dOsWbNGg4fPszAgQPLsOfi3+Jlgm6ieCqVig0bNpR1N4QQQgghxBtIAhSlZPv27TRr1oxKlSphaWlJYGAgZ8+eVcovXbpEz549sbCwwNTUlAYNGnDo0CGlfNOmTTRs2JBy5cphZWVFp06dlLLbt28THByMubk5JiYmtG3bljNnzijlEydOxMvLS6M/c+fOxcnJSdnu168fHTt2ZNasWdjZ2WFpacmQIUPIyckBwNfXlwsXLjBy5EhUKhUqlarEa/7Pf/5Dx44dCQkJoXr16rRr146xY8cSERFBfn4+AAcOHMDJyYlhw4bx1ltv0axZMwYNGsThw4d1en+FeBlHjhzho48+KutuiH+YLVu20KhRI9RqNebm5nTs2LHEY9LS0mjfvj0VK1bE1NSUhg0bkpGRAcCtW7cYOnQotWrVQq1W4+DgwLBhw8jMzCy2TV9fX1QqFTNmzChU1q5dO1QqFRMnTnyZSxRCCCGEeC1JgKKU3L9/n1GjRvHLL7+QkJCAnp4enTp1Ii8vj3v37tGyZUsuX77Mxo0bOX78OGFhYeTl5QFPvyx36tSJgIAAjh07RkJCAt7e3krb/fr145dffmHjxo0cOHCA/Px8AgIClOCCthITEzl79iyJiYnExsYSExNDTEwMAOvWraNatWpMnjyZP/74gz/++KPE9rKzsylXrpzGPrVazaVLl7hw4QIAPj4+XLx4ka1bt5Kfn8+1a9f44YcfCAgI0KnvQrwMa2trTExMyrobpe7x48dl3YW/na6fdy+ydu1a+vTpwwcffMDx48fZt28f77//frHHnD17lmbNmuHq6sru3bs5ceIE4eHhyufflStXuHLlCrNmzeLkyZPExMSwfft2BgwYUGJ/7O3tlc/hApcvXyYhIQE7O7uXvk4hhBBCiNeRBChKSZcuXejcuTPOzs54eXkRHR1NSkoKqampxMXFcf36dTZs2ECzZs1wdnamW7du+Pj4ADBt2jR69OjBpEmTcHNzw9PTk7FjxwJw5swZNm7cyNKlS2nevDmenp6sWrWKy5cv65xmbW5uTlRUFK6urgQGBtKuXTsSEhIAsLCwQF9fHzMzM2xtbbG1tS2xPX9/f9atW0dCQgJ5eXmcPn2ayMhIACXA0bRpU1atWkX37t0xMjLC1taWihUrsmDBAp36LsTzfH19CQ0NJTQ0lIoVK2JlZUV4eLiSvQO6DfGYPXs27u7umJqaYm9vz+DBg7l3755GnX379uHr64uJiQnm5ub4+/tz+/ZtAPLy8pg5cybOzs4YGxvj4ODAtGnTSjxvkyZNGD16tMa+69evY2hoSFJSknIdU6ZMITg4mAoVKihZIaNHj6ZmzZqYmJhQvXp1wsPDNW7kC7KroqOjcXBwoHz58gwePJjc3FxmzpyJra0tNjY2WvXzWTdu3KBTp06YmJjg4uLCxo0bNcr37NmDt7c3xsbG2NnZMWbMGJ48eaKUF/V78fLy0sgWUKlULFq0iPbt22Nqasq0adO4ffs2vXr1wtraGrVajYuLC8uXL9e630+ePGH48OF89dVXhISEULNmTWrXrk23bt2KPe6LL74gICCAmTNnUq9ePWrUqEH79u2xsbEBoG7duqxdu5agoCBq1KhBq1atmDZtGps2bdK47qIEBgZy48YN9u3bp+yLjY3l3XffVdoXQgghhPi3kABFKTlz5gw9e/akevXqVKhQQRlekZGRQXJyMvXq1cPCwqLIY5OTk/Hz8yuyLC0tDQMDAxo1aqTss7S0pFatWqSlpenUxzp16qCvr69s29nZ8eeff+rUxrMGDhxIaGgogYGBGBkZ0bhxY3r06AGAnt7Tf1qpqakMHz6c8ePHc/ToUbZv38758+cJCQl56fMKUSA2NhYDAwMOHz7MvHnzmD17NkuXLn2ptvT09Pj66685deoUsbGx7Nq1i7CwMKW84O+0du3aHDhwgL179xIUFERubi4AY8eOZcaMGYSHhyuBycqVK5d43l69ehEfH68RWPnuu++oUqUKzZs3V/bNmjULT09Pjh07Rnh4OABmZmbExMSQmprKvHnzWLJkCXPmzNFo/+zZs2zbto3t27ezevVqli1bRrt27bh06RJ79uwhIiKCcePGaQw5K8mkSZPo1q0bJ06cICAggF69enHr1i3g6dP/gIAAGjZsyPHjx1m0aBHLli1j6tSpWsk+oRYAAJuASURBVLdfYOLEiXTq1ImUlBT69++vvLfbtm0jLS2NRYsWYWVlpdT39fWlX79+L2zv119/5fLly+jp6VGvXj3s7Oxo27YtJ0+efOExeXl5bNmyhZo1a+Lv74+NjQ2NGjUqMUCcmZlJhQoVMDAwKLaekZERvXr10gi0xMTE0L9//2KPE0IIIYR4ExX/zUloLSgoCEdHR5YsWUKVKlXIy8ujbt26PH78GLVaXeyxJZWXRE9PT+PmBopOhzY0NNTYVqlUyjCTl6FSqYiIiODLL7/k6tWrWFtbKxkZ1atXB2D69Ok0bdqUzz77DAAPDw9MTU1p3rw5U6dOlRRm8ZfY29szZ84cVCoVtWrVIiUlhTlz5rzUJKwjRoxQfnZycmLq1KmEhISwcOFCAGbOnEmDBg2UbXga9AO4e/cu8+bNIyoqir59+wJQo0YNmjVrVuJ5u3XrxogRI9i7d68SkIiLi6Nnz54ac8G0atWKTz75ROPYcePGafT5008/JT4+XiOwkpeXR3R0NGZmZtSuXZt33nmH9PR0tm7dip6eHrVq1SIiIoLExESNQGhx+vXrR8+ePQH48ssv+frrrzl8+DBt2rRh4cKF2NvbExUVhUqlwtXVlStXrjB69GjGjx+vBC+18f777/PBBx8o2xkZGdSrV48GDRoo1/wsBweHYj9Tfv/9d+Bp4GP27Nk4OTkRGRmJr68vp0+fLjKI/Oeff3Lv3j1mzJjB1KlTiYiIYPv27XTu3JnExERatmxZ6JgbN24wZcoUrec/6d+/P82bN2fevHkcPXqUzMxMAgMDZf4JIYQQQvzrSAZFKbh58ybp6emMGzcOPz8/3NzclLRveHpTnpycrDxhfJ6Hh4dyY/88Nzc3njx5ovF0s+B8tWvXBp6Os7969apGkCI5OVnn6zAyMlKeButCX1+fqlWrYmRkxOrVq/Hx8cHa2hqABw8eFLohKcjieD6oIoSuGjdurHET7+Pjw5kzZ17q3/HOnTvx8/OjatWqmJmZ0adPH27evMmDBw+AkjOdsrOzX1heHGtra959911WrVoFwLlz5zhw4AC9evXSqFdwU/6s7777jqZNm2Jra0v58uUZN26cMnFjAScnJ8zMzJTtypUrU7t2bY2/y8qVK+uUTeXh4aH8bGpqSoUKFZTj09LS8PHx0fi9NG3alHv37nHp0iWtzwGFr/njjz8mPj4eLy8vwsLC2L9/v0b5ihUrmD59+gvbKwjIfvHFF3Tp0oX69euzfPlyVCoVa9asKfaYDh06MHLkSLy8vBgzZgyBgYEsXry4UP2srCzatWtH7dq1tQ4weHp64uLiwg8//EB0dDR9+vQpMfNCCCGEEOJNJAGKUmBubo6lpSXffvstv/32G7t27WLUqFFKec+ePbG1taVjx47s27eP33//nbVr13LgwAEAJkyYwOrVq5kwYQJpaWmkpKQQEREBgIuLCx06dGDgwIHs3buX48eP07t3b6pWrUqHDh2Ap2nN169fZ+bMmZw9e5YFCxawbds2na/DycmJpKQkLl++zI0bN0qsf+PGDRYvXsz//vc/kpOTGT58OGvWrNEYWx4UFMS6detYtGgRv//+O/v27WPYsGF4e3tTpUoVnfsoxKtw/vx5AgMD8fDwYO3atRw9elSZJ6VgQsriMp3+ahZUr169+OGHH8jJySEuLg53d3fc3d016piammpsFwQxAgIC2Lx5M8eOHeOLL74oNIFmUZlTfzWb6q8er23W1/PX3LZtW2W1oStXruDn58enn36q9XkLsisKgrsAxsbGVK9evVBgp4CVlRUGBgYax8DT4PHzx9y9e5c2bdpgZmbG+vXrC71Pxenfvz8LFizghx9+kOEdQgghhPjXkgBFKdDT0yM+Pp6jR49St25dRo4cyVdffaWUGxkZ8fPPP2NjY0NAQADu7u7MmDFDySTw9fVlzZo1bNy4ES8vL1q1aqWxDOfy5cupX78+gYGB+Pj4kJ+fz9atW5Uvv25ubixcuJAFCxbg6enJ4cOHdfrSXmDy5MmcP3+eGjVqKBkQJYmNjaVBgwY0bdqUU6dOsXv37kIrkMyePZuoqCjq1q1L165dqVWrFuvWrdO5f0I87/l5Ew4ePIiLi4vGXCvaOHr0KHl5eURGRtK4cWNq1qzJlStXNOoUl+nk4uKCWq1+YXlJOnTowKNHj9i+fTtxcXGFsieKsn//fhwdHfniiy9o0KABLi4uyuo5ZcnNzU1ZbajAvn37MDMzo1q1asDTrJFnVwrKysri3LlzWrVvbW1N3759WblyJXPnzuXbb7/Vum/169fH2NiY9PR0ZV9OTg7nz5/H0dGxyGOMjIxo2LChxjEAp0+f1jgmKyuLd999FyMjIzZu3FhohaOSvP/++6SkpFC3bt1CwRAhhBBCiH8LySEtJa1btyY1NVVj37Nf0B0dHfnhhx9eeHznzp3p3LlzkWXm5uasWLGi2POHhIQUmnjy888/V35+fhk7oNAs+o0bN+b48f+PvXuPy/n+Hz/+6OwqReeSDqMQ62CIllkrEymnjc3MYXxsSeYcbVLOQg7TsM2Qj0M+GzZzGhLN2ZBjiyGRwxDlkM6/P/x6f12kA21hz/vtdt1urvfr9X69Xu+rq0vv5/V8vV5HS+3nUWZmZkoWSGkGDRrEoEGDyt2uEOWVlpbGsGHD+Oyzzzh8+DBz585VdpKpCEdHR/Ly8pg7dy6BgYHs3r37ifT9sLAwXFxcCA4OJigoCF1dXRISEujatStmZmaMGjWK0NBQdHV18fLy4vr165w8ebJcW00aGBjQqVMnwsPDSU5OVtZ3KI2TkxNpaWnExcXRrFkzNmzYwNq1ayt87ZUtODiY2bNnM2jQIEJCQkhJSSEiIoJhw4Yp00p8fHxYsmQJgYGB1KxZk7Fjx5YrqDR27FiaNGlCo0aNyMnJYf369Tg7OyvlvXr1wsbG5qnTPIyMjAgKCiIiIgJbW1vs7e2VYHLXrl2Veg0aNGDKlCl07twZgJEjR/LBBx/QqlUr3nnnHTZv3swvv/zCjh07gP8LTty/f59ly5aRlZVFVlYW8DCgUp5rMzY25sqVKxXKuhBCCCGEeNVIgEII8dLq1asX2dnZeHh4oKWlxeDBg8u9MOGj3NzcmDlzJlFRUYSFhdGqVSumTJlCr169lDr16tVjy5YtfPHFF3h4eKBSqWjevLkSTAgPD0dbW5uxY8dy+fJlrK2tK7RbTfF0jVatWmFnZ1dm/Q4dOjB06FBCQkLIycmhffv2hIeHV/nCijY2NmzcuJGRI0fi5uaGiYkJ/fr1U1vQMywsjPPnzxMQEECNGjWYMGFCuTIodHV1CQsLIzU1FZVKxVtvvUVcXJxSnpaWVuYinNOnT0dbW5uePXuSnZ1N8+bN2b59O8bGxkqdlJQUMjMzleedO3dmwYIFTJkyhc8//5z69euzevVqZRHUw4cPK9k8jo6Oav2dP3/+icU8n6ZmzZrlqieEEEII8arSKJKVCsVTtGvXjt9++63Esi+++EItQ6MqZWVlUaNGDRbHH0a/evWqHo4oRTcPp0pry9vbG3d39ycygYQQQgghhBAvjuL7teJt2EsjGRTiqRYuXEh2dnaJZSVtxyeEEEIIIYQQQjwrWSRTPJWNjQ2Ojo4lPiRAIV4my5cvp3r16iU+GjVq9Lf2PXny5Kf23a5du7+174qqytdJCCGEEEIImeIhXio5OTnk5OSoHcvKysLW1lameLwEKnOKR0XcuXOHa9eulVimo6Pz1B0cKkNGRgYZGRkllqlUKmxsbP62viuqKl8nIYQQQgjxapIpHuKVNWXKFMaNG1fVwxAvGUNDQwwNDaukbxMTk5cm46gqXychhBBCCCFkiod4qYSFhZGZman2uHjxYlUPS7ygHBwcXopFNDU0NPjpp5/KXb9Pnz506tTpmfvz9vZmyJAhz3y+EEIIIYQQfwcJUIiXip6eHkZGRk88hCjJwYMHn2nb0X/alStXXrj1KF5ka9asoU2bNpiamqKhoUFSUtITdby9vdHQ0FB7PLrt69GjR+nevTu2traoVCqcnZ2ZM2dOqf2mpqbSr18/XnvtNVQqFXXr1iUiIoLc3Fy1ekVFRcyYMYN69eqhp6eHjY0NkyZNUquTk5PDl19+ib29PXp6ejg4OLBo0aJnf1GEEEIIIV4BMsVDCPHKMjc3r+ohlIuVlVVVD+EfkZubi66u7nO3c+/ePVq2bEm3bt3o37//U+v179+f8ePHK8/19fWVfx86dAgLCwuWLVuGra0te/bs4dNPP0VLS4uQkJAS2/vjjz8oLCzkm2++wdHRkRMnTtC/f3/u3bvHjBkzlHqDBw9my5YtzJgxAxcXlxLXIenWrRvXrl3j+++/x9HRkStXrlBYWPisL4kQQgghxCtBMiheUHl5eXzzzTcMHz6cqKioqh6OEC8cb29vQkJCCAkJoUaNGpiZmREeHs6j6/5WZIrHzJkzcXFxwcDAAFtbW4KDg7l7965and27d+Pt7Y2+vj7Gxsb4+flx69YtAAoLC5k2bRqOjo7o6elhZ2f3xLfmT/P4FI/jx4/j4+ODSqXC1NSUTz/99ImxAIwbNw5zc3OMjIwICgp64pv80hQWFhIaGoqJiQlWVlZERkaqlaelpdGxY0eqV6+OkZGRckNdrKRpJkOGDMHb21t5XvwzGjJkCGZmZvj5+VFUVERkZCR2dnbo6elRq1YtPv/883KPG6Bnz56MHTuW1q1bl1pPX18fKysr5fFotlXfvn2ZM2cOb7/9NnXq1OHjjz/mk08+Yc2aNU9tr23btixevJg2bdpQp04dOnTowIgRI9TOSU5OZv78+fz888906NCB1157jSZNmvDuu+8qdTZv3szOnTvZuHEjrVu3xsHBAU9PT7y8vCr0OgghhBBCvGokQFGJ/vvf/7J//37g4Y3DjRs3nrmtw4cPc+3aNaZOncqoUaOeKD99+jTDhw9/4vj69etZsGDBM/f7d/nll1+YOHEiISEh/PDDD1U9HPGKiI2NRVtbmwMHDjBnzhxmzpzJwoULn6ktTU1NvvrqK06ePElsbCzbt28nNDRUKU9KSsLX15eGDRuyd+9edu3aRWBgIAUFBcDD9VGmTp1KeHg4p06dYsWKFVhaWlZ4HPfu3cPPzw9jY2MOHjzIDz/8wLZt2574Vj8+Pp7k5GR27NjBypUrWbNmTYUWkI2NjcXAwID9+/czbdo0xo8fz9atW4GHwYuOHTuSkZHBzp072bp1K+fOneODDz6o8PXExsaiq6vL7t27WbBgAatXr2bWrFl88803nDlzhp9++gkXFxelfmRkJA4ODhXupyTLly/HzMyM119/nbCwMO7fv19q/czMzAovaPr4Ob/88gt16tRh/fr1vPbaazg4OPCf//xHLYNi3bp1NG3alGnTpmFjY0O9evUYMWIE2dnZFbtAIYQQQohXjEzxqEQXLlzg3XffJTs7m3v37mFmZvbMbd28eRMLCwt0dHQqcYTPpqioiKKiIjQ1nz2eZW5uTufOndm1a1cljkz829na2jJr1iw0NDSoX78+x48fZ9asWaWm/T/No4tGOjg4MHHiRIKCgpg3bx4A06ZNo2nTpspzgEaNGgEPt+ecM2cOMTEx9O7dG4C6devSsmXLCo9jxYoVPHjwgKVLl2JgYABATEwMgYGBREVFKUEPXV1dFi1ahL6+Po0aNWL8+PGMHDmSCRMmlOt31dXVlYiICACcnJyIiYkhPj6ed999l/j4eI4fP8758+extbUFYOnSpTRq1IiDBw/SrFmzcl+Pk5MT06ZNU55v2LABKysrWrdujY6ODnZ2dnh4eCjlZmZm1K1bt9ztP81HH32Evb09tWrV4tixY4waNYqUlJSnZkjs2bOHVatWsWHDhnL38eeffzJ37ly16R3nzp3jwoUL/PDDDyxdupSCggKGDh3K+++/z/bt25U6u3btolq1aqxdu5YbN24QHBzMzZs3Wbx48fNduBBCCCHES0wCFJUkJyeH27dvY2lpSUpKCnZ2dmWes3//fjZv3kxWVha1atWia9eu2NnZsXr1anbs2EFRURFDhw7F19eXgICACo8pLy+PuLg4jh07RkFBAcbGxvTs2RMHBweKiorYsWMHiYmJZGVlUbt2bT788EOsra0BGDNmDC1btuTYsWOkp6cTGhpKeno6GzZsICsri2rVqvHWW2/h7+9frrG0aNECeDjvW4jK0qJFCzQ0NJTnnp6eREdHU1BQgJaWVoXa2rZtG1OmTOGPP/4gKyuL/Px8Hjx4wP3799HX1ycpKYmuXbuWeG5ycjI5OTn4+vo+1/UUt+Xm5qYEJwC8vLwoLCwkJSVFCVC4ubmprang6enJ3bt3uXjxIvb29mX24+rqqvbc2tqav/76SxmDra2tEpwAaNiwITVr1iQ5OblCAYomTZqoPe/atSuzZ8+mTp06tG3bFn9/fwIDA9HWfvjfUfG0nef16OKoLi4uWFtb4+vry9mzZ58IgJw4cYKOHTsSERFBmzZtytV+eno6bdu2pWvXrmoBscLCQnJycli6dCn16tUD4Pvvv6dJkyakpKRQv359CgsL0dDQYPny5dSoUQN4OMXo/fffZ968eahUque9fCGEEEKIl5IEKJ7TkSNHWLZsGYWFheTl5TFixAjy8/MBGD58OK1bty5xdf4zZ84QFxdHcHAwderUYefOncTExDBu3Djee+899PT0uHTpktqq8xW1f/9+Ll26xLhx41CpVPz1119KRkZiYiJ79uxhwIABmJqakpiYyIIFCwgPD1duFPbt28eAAQMwNzcnJyeHKVOmMHjwYJycnLh//75yMwMwceJE/Pz8KnTjIsSLIjU1lYCAAAYMGMCkSZMwMTFh165d9OvXj9zcXPT19Uu9aXwZbygfz87S0NCo0CKNmpqaaut9wMOg6OMeDbTAw6yXlJQUtm3bxtatWwkODmb69Ons3Lnzb80Ya968OfAw6+HRAMWpU6fw9fXl008/ZcyYMeVq6/Lly7zzzju8+eabfPvtt2pl1tbWaGtrK8EJAGdnZ+Dhuh7169fH2toaGxsbJThRXKeoqIhLly7h5OT0zNcphBBCCPEykzUonlPjxo2Jjo7Gx8eH9u3bEx0dTZ06dRg4cCDR0dFP3TrwwIEDeHh44OTkhJaWFj4+Pujr63PixIlKG5uWlhY5OTlcvXqVoqIiLC0tlbnSiYmJBAQEYGFhgZaWFu+88w65ubmkpqYq57dq1QpLS0s0NTXR1NRES0uLq1evkp2djb6+vto88TFjxkhwQvzjitd8KbZv3z7ld6oiDh06RGFhIdHR0bRo0YJ69epx+fJltTqurq7Ex8eXeL6TkxMqleqp5RXh7OzM0aNHuXfvnnJs9+7daGpqUr9+feXY0aNH1dYs2LdvH9WrV1fLenieMVy8eJGLFy8qx06dOsXt27dp2LAh8HDa1pUrV9TOK2m7z5KoVCoCAwP56quv2LFjB3v37uX48ePPPe7SFI+tOEsM4OTJk7zzzjv07t273Auapqen4+3tTZMmTVi8ePET02m8vLzIz8/n7NmzyrHTp08DKJktXl5eXL58WW3h09OnT6OpqUnt2rWf6fqEEEIIIV4FkkFRSc6cOUOHDh0oKCjg4sWLvPbaa6XWv3Xrlto3bPBw7nXxjgBl0dLSUhbne9Sjqe0eHh5kZmaycuVKbt26haurK126dKF69ercvHmTJUuWqP1xnZ+fr9a/sbGx8m89PT0GDBhAfHw8a9euxcbGhoCAALUbJiH+aWlpaQwbNozPPvuMw4cPM3fuXKKjoyvcjqOjI3l5ecydO5fAwEBlQcdHhYWF4eLiQnBwMEFBQejq6pKQkEDXrl0xMzNj1KhRhIaGoquri5eXF9evX+fkyZP069evQmPp0aMHERER9O7dm8jISK5fv86gQYPo2bOn2qKbubm59OvXjzFjxpCamkpERAQhISHPtVZMsdatW+Pi4kKPHj2YPXs2+fn5BAcH8/bbb9O0aVMAfHx8mD59OkuXLsXT05Nly5Zx4sQJGjduXGrbS5YsoaCggObNm6Ovr8+yZctQqVTKzXtMTAxr164tNdiTkZFBWlqaEkRKSUkBUHbrOHv2LCtWrMDf3x9TU1OOHTvG0KFDadWqlTK15cSJE/j4+ODn58ewYcO4evUq8PCz9Wnb0xYHJ+zt7ZkxYwbXr19Xyoq3im3dujVvvPEGffv2Zfbs2RQWFjJw4EDeffdd5TP/o48+YsKECXzyySfKgsojR46kb9++L2U2jhBCCCFEZZEAxXPIy8tj9OjRADx48ID58+crUz1Gjx5NrVq1StxpAx7e/N+8eVPt2M2bN9WCAqUxMTEhNzeXO3fuYGhoqBy/ceMGpqamwMM/tNu2bUvbtm3Jyspi0aJFbNiwgQ8++ABjY2Pef/99ZZG/kjw6tx+gQYMGNGjQgIKCAnbu3Mk333zDjBkzKuWGSIhn0atXL7Kzs/Hw8EBLS4vBgwerrT1QXm5ubsycOZOoqCjCwsJo1aoVU6ZMoVevXkqdevXqsWXLFr744gs8PDxQqVQ0b96c7t27AyjTo8aOHcvly5extrZ+pila+vr6/PrrrwwePJhmzZqhr6/Pe++9x8yZM9Xq+fr64uTkRKtWrcjJyaF79+5PbBX6rDQ0NPj5558ZNGgQrVq1QlNTk7Zt2zJ37lyljp+fH+Hh4YSGhvLgwQP69u1Lr169ysyEqFmzJlOnTmXYsGEUFBTg4uLCL7/8onxu3bhxQy37oCTr1q3jk08+UZ5/+OGHAERERBAZGYmuri7btm1j9uzZ3Lt3D1tbW9577z21KRw//vgj169fZ9myZSxbtkw5bm9vr2SSpaam8tprr5GQkIC3tzdbt27lzz//5M8//3wi06F4uoumpia//PKL8toZGBjQrl07tcBZ9erV2bp1K4MGDaJp06aYmprSrVs3Jk6cWOp1CyGEEEK86jSKHp9ELCrs1KlTJCYmEhQUxC+//IKuri5+fn6lnnP69GkWLFjAwIEDcXBwIDExkU2bNhEZGYm+vj7r168vcw2KWbNmYWxsTLdu3dDT0yM5OZnvvvuO4cOHY2dnR0pKCvr6+tSqVYu8vDy+//57LC0tef/990lISODAgQP06dMHS0tLsrOzOX36NPXr16datWqMGTOG999/H3d3dwCysrI4d+4cDRo0QE9Pj3379rFmzRqioqLKFaAoKCigsLCQ5cuXo1Kp6NKlizJt5HllZWVRo0YNFscfRr969eduT/x9unlU3tx6b29v3N3dmT17dqW1WRVycnKoVq0aW7dupXXr1lU9HPGIhIQEunTpwrlz58odPBZCCCGEEOqK79cyMzMxMjIqta5kUFSCpKQkXFxcADh27Fi5Urrr1atHt27dWLZsGZmZmdSqVYuBAweqrcpflr59+7J27VomTJhAbm4u5ubm9OvXT9lBJCsri7i4OG7fvo2Ojg4NGjRQdt3w9vZGU1OTb7/9llu3bqGnp0fdunWfOmWjqKiIhIQE/vvf/1JUVISFhQX/+c9/lODEhAkT8PPzU9su8FHLly9n3759yvOdO3fSokULtW+ohfi3ycrKYs2aNWhqatKgQYOqHo54zMaNG/niiy8kOCGEEEII8Q+RDArx0pMMipdHVWVQLF++nM8++6zEMnt7e06ePFlp43rc5MmTmTx5collzZo149SpU4wcOZIRI0ZUSn9paWnKQpYlOXXqVLm2QRZCCCGEEKIyVCSDQgIU4qUnAYqXR2UGKCrizp07XLt2rcQyHR0dZYHGv0NGRgYZGRkllqlUKmxsbCq1v/z8fLXdeB7n4OCgbCUshBBCCCHE302meAghxCMMDQ3VFpP9J5mYmCjb+/4TtLW1cXR0/Mf6E0IIIYQQorLI9gtCCCGEEEIIIYSochKgEEIIIYQQQgghRJWTAIUQQgghhBBCCCGqnKxBIV4ZXZrWLXPRFSGEEEIIIYQQLybJoBBCCCGEEEIIIUSVkwCFEEIIIYQQQgghqpwEKIQQQgghhBBCCFHlJEAhhBBCCCGEEEKIKicBCiGEEEIIIYQQQlQ5CVAIIYQQQgghhBCiykmAQgghhBBCCCGEEFVOAhRCCCGEEEIIIYSochKgEEIIIYQQQgghRJXTruoBCFFZ9p+5hkH1+1U9DPGYN+tbVfUQhBBCCCGEEC8ByaAQQgghhBBCCCFElZMAhRBCCCGEEEIIIaqcBCiEEEIIIYQQQghR5SRAIYQQQgghhBBCiConAQqhcHBwYPbs2RU653//+x/u7u7o6+tjb2/P9OnTn1p39+7daGtr4+7u/nwDFUIIIYQQQgjxypEAhXhmmzZtokePHgQFBXHixAnmzZvHrFmziImJeaLu7du36dWrF76+vlUwUvFv8iyBNlE6DQ0Nfvrpp6oehhBCCCGEeMVJgKKSbN68mZYtW1KzZk1MTU0JCAjg7NmzSvmlS5fo3r07JiYmGBgY0LRpU/bv36+U//LLLzRr1oxq1aphZmZG586dlbJbt27Rq1cvjI2N0dfXp127dpw5c0Ypj4yMfCIrYfbs2Tg4OCjP+/TpQ6dOnZgxYwbW1taYmpoycOBA8vLyAPD29ubChQsMHToUDQ0NNDQ0yrzm//73v3Tq1ImgoCDq1KlD+/btCQsLIyoqiqKiIrW6QUFBfPTRR3h6epbr9RTiWR08eJBPP/20qochXjAbNmygefPmqFQqjI2N6dSpU7nPDQoKQkNDQy3wlZqaSr9+/XjttddQqVTUrVuXiIgIcnNzS23LwcEBDQ0N4uLinihr1KgRGhoaLFmypNxjE0IIIYR4lUiAopLcu3ePYcOG8fvvvxMfH4+mpiadO3emsLCQu3fv8vbbb5Oens66des4evQooaGhFBYWAg//cO7cuTP+/v4cOXKE+Ph4PDw8lLb79OnD77//zrp169i7dy9FRUX4+/srwYXySkhI4OzZsyQkJBAbG8uSJUuUP4TXrFlD7dq1GT9+PFeuXOHKlStltpeTk0O1atXUjqlUKi5dusSFCxeUY4sXL+bcuXNERERUaLxCPAtzc3P09fWrehiVrqwb31dRRT/jnmb16tX07NmTTz75hKNHj7J7924++uijcp27du1a9u3bR61atdSO//HHHxQWFvLNN99w8uRJZs2axYIFC/jiiy/KbNPW1pbFixerHdu3bx9Xr17FwMCg/BcmhBBCCPGKkQBFJXnvvffo0qULjo6OuLu7s2jRIo4fP86pU6dYsWIF169f56effqJly5Y4OjrSrVs3JZtg0qRJfPjhh4wbNw5nZ2fc3NwICwsD4MyZM6xbt46FCxfy1ltv4ebmxvLly0lPT69wyrWxsTExMTE0aNCAgIAA2rdvT3x8PAAmJiZoaWlhaGiIlZUVVlZWZbbn5+fHmjVriI+Pp7CwkNOnTxMdHQ2gBDjOnDnD6NGjWbZsGdra2hUarxCP8/b2JiQkhJCQEGrUqIGZmRnh4eFqGTsVmeIxc+ZMXFxcMDAwwNbWluDgYO7evatWZ/fu3Xh7e6Ovr4+xsTF+fn7cunULgMLCQqZNm4ajoyN6enrY2dkxadKkMvt98803GTVqlNqx69evo6OjQ2JionIdEyZMoFevXhgZGSlZIaNGjaJevXro6+tTp04dwsPD1W7kizOqFi1ahJ2dHdWrVyc4OJiCggKmTZuGlZUVFhYW5Rrno27cuEHnzp3R19fHycmJdevWqZXv3LkTDw8P9PT0sLa2ZvTo0eTn5yvlJf1c3N3diYyMVJ5raGgwf/58OnTogIGBAZMmTeLWrVv06NEDc3NzVCoVTk5OT9zclyY/P5/Bgwczffp0goKCqFevHg0bNqRbt25lnpuens6gQYNYvnw5Ojo6amVt27Zl8eLFtGnThjp16tChQwdGjBjBmjVrymy3R48e7Ny5k4sXLyrHFi1aRI8ePeRzUgghhBD/ahKgqCRnzpyhe/fu1KlTByMjI2V6RVpaGklJSTRu3BgTE5MSz01KSnrq2gzJycloa2vTvHlz5ZipqSn169cnOTm5QmNs1KgRWlpaynNra2v++uuvCrXxqP79+xMSEkJAQAC6urq0aNGCDz/8EABNTU0KCgr46KOPGDduHPXq1XvmfoR4VGxsLNra2hw4cIA5c+Ywc+ZMFi5c+ExtaWpq8tVXX3Hy5EliY2PZvn07oaGhSnnx72bDhg3Zu3cvu3btIjAwkIKCAgDCwsKYOnUq4eHhSjDS0tKyzH579OhBXFycWmBl1apV1KpVi7feeks5NmPGDNzc3Dhy5Ajh4eEAGBoasmTJEk6dOsWcOXP47rvvmDVrllr7Z8+eZdOmTWzevJmVK1fy/fff0759ey5dusTOnTuJiopizJgxatPMyjJu3Di6devGsWPH8Pf3p0ePHmRkZAAPb+T9/f1p1qwZR48eZf78+Xz//fdMnDix3O0Xi4yMpHPnzhw/fpy+ffsqr+2mTZtITk5m/vz5mJmZKfW9vb3p06fPU9s7fPgw6enpaGpq0rhxY6ytrWnXrh0nTpwodRyFhYX07NmTkSNH0qhRo3KNPTMz86mf84+ytLTEz8+P2NhYAO7fv8+qVavo27dvufoRQgghhHhVyVc1lSQwMBB7e3u+++47atWqRWFhIa+//jq5ubmoVKpSzy2rvCyamppPrPlQUmr0498AamhoKNNMnoWGhgZRUVFMnjyZq1evYm5urmRk1KlThzt37vD7779z5MgRQkJCgId/9BcVFaGtrc2WLVvw8fF55v7Fv5OtrS2zZs1CQ0OD+vXrc/z4cWbNmkX//v0r3NaQIUOUfzs4ODBx4kSCgoKYN28eANOmTaNp06bKc0C5Wb1z5w5z5swhJiaG3r17A1C3bl1atmxZZr/dunVjyJAh7Nq1SwlIrFixgu7du6ut/+Lj48Pw4cPVzh0zZozamEeMGEFcXJxaYKWwsJBFixZhaGhIw4YNeeedd0hJSWHjxo1oampSv359oqKiSEhIUAt+lqZPnz50794dgMmTJ/PVV19x4MAB2rZty7x587C1tSUmJgYNDQ0aNGjA5cuXGTVqFGPHjkVTs/yx8I8++ohPPvlEeZ6Wlkbjxo1p2rSpcs2PsrOzw9ra+qntnTt3DngY+Jg5cyYODg5ER0fj7e3N6dOnnxpQiIqKQltbm88//7xc4/7zzz+ZO3cuM2bMKFf9vn37Mnz4cL788kt+/PFH6tatKzscCSGEEOJfTzIoKsHNmzdJSUlhzJgx+Pr64uzsrKSAA7i6upKUlKR82/g4V1dX5cb+cc7OzuTn56t901ncX8OGDYGHc+6vXr2qFqRISkqq8HXo6uoq3wxXhJaWFjY2Nujq6rJy5Uo8PT0xNzfHyMiI48ePk5SUpDyCgoKoX78+SUlJ5b4xEuJRLVq0ULuJ9/T05MyZM8/03t22bRu+vr7Y2NhgaGhIz549uXnzJvfv3wfKzm7Kycl5pp1pzM3NadOmDcuXLwfg/Pnz7N27lx49eqjVK74pf9SqVavw8vLCysqK6tWrM2bMGNLS0tTqODg4YGhoqDy3tLSkYcOGaoECS0vLCmVQubq6Kv82MDDAyMhIOT85ORlPT0+1n4uXlxd3797l0qVL5e4DnrzmAQMGEBcXh7u7O6GhoezZs0etfOnSpUyZMuWp7RUHYb/88kvee+89mjRpwuLFi9HQ0OCHH34o8ZxDhw4xZ84clixZUq4Fg9PT02nbti1du3Ytd6Csffv23L17l8TERBYtWiTZE0IIIYQQSICiUhgbG2Nqasq3337Ln3/+yfbt2xk2bJhS3r17d6ysrOjUqRO7d+/m3LlzrF69mr179wIQERHBypUriYiIIDk5mePHjxMVFQWAk5MTHTt2pH///uzatYujR4/y8ccfY2NjQ8eOHYGHKc7Xr19n2rRpnD17lq+//ppNmzZV+DocHBxITEwkPT2dGzdulFn/xo0bLFiwgD/++IOkpCQGDx7MDz/8oMwz19TU5PXXX1d7WFhYUK1aNV5//XVZDE5UqdTUVAICAnB1dWX16tUcOnSIr7/+Gvi/BSlLy2563synHj168OOPP5KXl8eKFStwcXHBxcVFrc7jvyPFQQx/f3/Wr1/PkSNH+PLLL59YQLOkbKnnzaB63vPLm+n1+DW3a9dO2WHo8uXL+Pr6MmLEiHL3W5xdURzQBdDT06NOnTpPBHaK/fbbb/z111/Y2dmhra2NtrY2Fy5cYPjw4U9kcFy+fJl33nmHN998k2+//bbc49LW1qZnz55ERESwf//+J4JTQgghhBD/RhKgqASamprExcVx6NAhXn/9dYYOHcr06dOVcl1dXbZs2YKFhQX+/v64uLgwdepUZT0Ib29vfvjhB9atW4e7uzs+Pj4cOHBAOX/x4sU0adKEgIAAPD09KSoqYuPGjcoNg7OzM/PmzePrr7/Gzc2NAwcOVOgP+GLjx48nNTWVunXrYm5uXq5zYmNjadq0KV5eXpw8eZIdO3ao7UAiRGV7fN2Effv24eTkpLa+SnkcOnSIwsJCoqOjadGiBfXq1ePy5ctqdUrLbnJyckKlUj21vCwdO3bkwYMHbN68mRUrVpTrBnXPnj3Y29vz5Zdf0rRpU5ycnNR2zKkqzs7Oyg5DxXbv3o2hoSG1a9cGHmaNPLo7UFZWFufPny9X++bm5vTu3Ztly5Yxe/bsCgUCmjRpgp6eHikpKcqxvLw8UlNTsbe3L/Gcnj17cuzYMbXsr1q1ajFy5Eh+/fVXpV56ejre3t5KVkZFprLAw2keO3fupGPHjhgbG1foXCGEEEKIV5GsQVFJWrduzalTp9SOPfrHur29PT/++ONTz+/SpQtdunQpsczY2JilS5eW2n9QUBBBQUFqxx7d7q54O9FHPb6ifosWLTh69Gip/TzKzMxMyQIpr8jISLVV+4WoqLS0NIYNG8Znn33G4cOHmTt3rrJ7TEU4OjqSl5fH3LlzCQwMZPfu3SxYsECtTlhYGC4uLgQHBxMUFISuri4JCQl07doVMzMzRo0aRWhoKLq6unh5eXH9+nVOnjxJv379yuzfwMCATp06ER4eTnJysrK+Q2mcnJxIS0sjLi6OZs2asWHDBtauXVvha69swcHBzJ49m0GDBhESEkJKSgoREREMGzZMuWn38fFhyZIlBAYGUrNmTcaOHVuuoNLYsWNp0qQJjRo1Iicnh/Xr1+Ps7KyU9+rVCxsbm6dO8zAyMiIoKIiIiAhsbW2xt7dXAshdu3ZV6jVo0IApU6bQuXNnTE1NMTU1VWtHR0cHKysr6tevD/xfcMLe3p4ZM2Zw/fp1pW55dkGCh4GdGzduvJLb4gohhBBCPAsJUAghXiq9evUiOzsbDw8PtLS0GDx4sLIFZ0W4ubkxc+ZMoqKiCAsLo1WrVkyZMoVevXopderVq8eWLVv44osv8PDwQKVS0bx5cyWYEB4ejra2NmPHjuXy5ctYW1s/ESgsTfF0jVatWmFnZ1dm/Q4dOjB06FBCQkLIycmhffv2hIeHV3nQz8bGho0bNzJy5Ejc3NwwMTGhX79+agt6hoWFcf78eQICAqhRowYTJkwoVwaFrq4uYWFhpKamolKpeOutt4iLi1PK09LSysxcmD59ujKlIjs7m+bNm7N9+3a1rIWUlBQyMzPLfc1bt27lzz//5M8//1SyRIo9PpWlNI8HQoQQQggh/s00iiryl5T4V2nXrh2//fZbiWVffPGFWoZGVcrKyqJGjRps+f00BtUNyz5B/KPerF++b5PLw9vbG3d39yeyf4QQQgghhBAvpuL7tczMTIyMjEqtKxkU4qkWLlxIdnZ2iWVP25pPCCGEEEIIIYR4FrJIpngqGxsbHB0dS3xIgEK86JYvX0716tVLfDRq1Ohv7Xvy5MlP7btdu3Z/a98VVZWvkxBCCCGEEI+SKR7ipZKTk0NOTo7asaysLGxtbWWKxwuqMqd4VMSdO3e4du1aiWU6OjpP3cGhMmRkZJCRkVFimUqlwsbG5m/ru6Kq8nUSQgghhBCvPpniIV5ZU6ZMYdy4cVU9DPESMDQ0xNCwagJWJiYmL02WUVW+TkIIIYQQQjxKpniIl0pYWBiZmZlqj4sXL1b1sMQLxMHB4aVYRFNDQ4Offvqp3PX79OlDp06dnrk/b29vhgwZ8sznCyGEEEII8XeTAIV4qejp6WFkZPTEQ4hiBw8efKZtR/9pV65ceeHWo3iRrVmzhjZt2mBqaoqGhgZJSUlP1Pnss8+oW7cuKpUKc3NzOnbsyB9//KGUHz16lO7du2Nra4tKpcLZ2Zk5c+aU2XeHDh2ws7OjWrVqWFtb07NnTy5fvqyUP3jwgD59+uDi4oK2tnaJgaRdu3bh5eWFqakpKpWKBg0aMGvWrGd6LYQQQgghXlUyxeMFlZeXx6JFizh9+jQWFhaMGjWqqockxEvB3Ny8qodQLlZWVbM2xz8tNzcXXV3d527n3r17tGzZkm7dutG/f/8S6zRp0oQePXpgZ2dHRkYGkZGRtGnThvPnz6OlpcWhQ4ewsLBg2bJl2NrasmfPHj799FO0tLQICQl5at/vvPMOX3zxBdbW1qSnpzNixAjef/999uzZA0BBQQEqlYrPP/+c1atXl9iGgYEBISEhuLq6YmBgwK5du/jss88wMDB4KQJqQgghhBD/BMmgqET//e9/2b9/PwDjxo3jxo0bz9zW4cOHuXbtGlOnTi0xOHH69GmGDx/+xPH169ezYMGCZ+7375CRkcHQoUPVHiEhIcyfP7+qhyZeMt7e3oSEhBASEkKNGjUwMzMjPDycR9f6rcgUj5kzZ+Li4oKBgQG2trYEBwdz9+5dtTq7d+/G29sbfX19jI2N8fPz49atWwAUFhYybdo0HB0d0dPTw87OjkmTJpWr78eneBw/fhwfHx9UKhWmpqZ8+umnT4wFHn62mJubY2RkRFBQELm5ueXqr3i8oaGhmJiYYGVlRWRkpFp5WloaHTt2pHr16hgZGdGtWze1BTRLmmYyZMgQvL29lefFP6MhQ4ZgZmaGn58fRUVFREZGYmdnh56eHrVq1eLzzz8v97gBevbsydixY2nduvVT63z66ae0atUKBwcH3njjDSZOnMjFixdJTU0FoG/fvsyZM4e3336bOnXq8PHHH/PJJ5+wZs2aUvseOnQoLVq0wN7enjfffJPRo0ezb98+8vLygIfBh/nz59O/f/+nBp4aN25M9+7dadSoEQ4ODnz88cf4+fnx22+/Veh1EEIIIYR4lUmAohJduHABe3t7srOzuXfvHmZmZs/c1s2bN7GwsEBHR6cSR/hsioqKKCwsfObzTUxMmDVrlvKYPn06KpWKpk2bVuIoxb9FbGws2traHDhwgDlz5jBz5kwWLlz4TG1pamry1VdfcfLkSWJjY9m+fTuhoaFKeVJSEr6+vjRs2JC9e/eya9cuAgMDKSgoAB6uiTJ16lTCw8M5deoUK1aswNLSssLjuHfvHn5+fhgbG3Pw4EF++OEHtm3b9sS3+vHx8SQnJ7Njxw5WrlzJmjVrKrRobGxsLAYGBuzfv59p06Yxfvx4tm7dCjwMXnTs2JGMjAx27tzJ1q1bOXfuHB988EGFryc2NhZdXV12797NggULWL16NbNmzeKbb77hzJkz/PTTT7i4uCj1IyMjcXBwqHA/pbl37x6LFy/mtddew9bW9qn1MjMzK7SgaUZGBsuXL+fNN998rs/nI0eOsGfPHt5+++1nbkMIIYQQ4lUjUzwqSU5ODrdv38bS0pKUlBTs7OzKPGf//v1s3ryZrKwsatWqRdeuXbGzs2P16tXs2LGDoqIihg4diq+vLwEBARUeU15eHnFxcRw7doyCggKMjY3p2bMnDg4OFBUVsWPHDhITE8nKyqJ27dp8+OGHWFtbAzBmzBhatmzJsWPHSE9PJzQ0lPT0dDZs2EBWVhbVqlXjrbfewt/fv8LjOnr0KEVFRbi7u1f4XCFsbW2ZNWsWGhoa1K9fn+PHjzNr1qynpv2X5tFFIx0cHJg4cSJBQUHMmzcPgGnTptG0aVPlOUCjRo2Ah9tzzpkzh5iYGHr37g1A3bp1admyZYXHsWLFCh48eMDSpUsxMDAAICYmhsDAQKKiopSgh66uLosWLUJfX59GjRoxfvx4Ro4cyYQJE9DULDve7OrqSkREBABOTk7ExMQQHx/Pu+++S3x8PMePH+f8+fPKDf3SpUtp1KgRBw8epFmzZuW+HicnJ6ZNm6Y837BhA1ZWVrRu3RodHR3s7Ozw8PBQys3MzKhbt2652y/NvHnzCA0N5d69e9SvX5+tW7c+dYrJnj17WLVqFRs2bCiz3VGjRhETE8P9+/dp0aIF69evf6bx1a5dm+vXr5Ofn09kZCT/+c9/nqkdIYQQQohXkQQontORI0dYtmwZhYWF5OXlMWLECPLz8wEYPnw4rVu3LnEhvDNnzhAXF0dwcDB16tRh586dxMTEMG7cON577z309PS4dOkSQUFBzzy2/fv3c+nSJcaNG4dKpeKvv/5SvvFLTExkz549DBgwAFNTUxITE1mwYAHh4eFoaz98W+zbt48BAwZgbm5OTk4OU6ZMYfDgwTg5OXH//n3++usvpa+JEyfi5+dXrpuYPXv20KxZsxciO0S8fFq0aIGGhoby3NPTk+joaAoKCtDS0qpQW9u2bWPKlCn88ccfZGVlkZ+fz4MHD7h//z76+vokJSXRtWvXEs9NTk4mJycHX1/f57qe4rbc3NyU4ASAl5cXhYWFpKSkKAEKNzc39PX1lTqenp7cvXuXixcvYm9vX2Y/rq6uas+tra2V3+Pk5GRsbW3Vsg0aNmxIzZo1SU5OrlCAokmTJmrPu3btyuzZs6lTpw5t27bF39+fwMBA5bOmeNpOZejRowfvvvsuV65cYcaMGXTr1o3du3dTrVo1tXonTpygY8eORERE0KZNmzLbHTlyJP369ePChQuMGzeOXr16sX79erX3Ynn89ttv3L17l3379jF69GgcHR3p3r17hdoQQgghhHhVSYDiOTVu3JjGjRvzyy+/oK2tTbt27ZgzZw7t2rWjXr16Tz3vwIEDeHh44OTkBICPjw+JiYmcOHGiQjcCpdHS0iInJ4erV6/i4OCglnqemJhIhw4dsLCwAB4uArdlyxZSU1NxdHQEoFWrVso5mpqaaGlpcfXqVWrXro2+vr5aSvaYMWPKNaabN2/yxx9/0Llz50q5RiGeVWpqKgEBAQwYMIBJkyZhYmLCrl276NevH7m5uejr66NSqZ56fmllL6rHg4IaGhoVmr6lqamptt4HoKzD8KhHAy3wMOslJSWFbdu2sXXrVoKDg5k+fTo7d+6s9EBljRo1qFGjBk5OTrRo0QJjY2PWrl2rFgQ4deoUvr6+fPrpp+X+7DIzM8PMzIx69erh7OyMra0t+/btw9PTs0Lje+211wBwcXHh2rVrREZGSoBCCCGEEOL/kwBFJTlz5gwdOnSgoKCAixcvKn+EPs2tW7eeCGCYmZkpi++VRUtLS5kH/6hHv0X28PAgMzOTlStXcuvWLVxdXenSpQvVq1fn5s2bLFmyRC0tPD8/X61/Y2Nj5d96enoMGDCA+Ph41q5di42NDQEBAdSvX79c4y22d+9ebG1tqV27doXOE6JY8UK0xfbt24eTk1OFsycOHTpEYWEh0dHRyu/B//73P7U6rq6uxMfHl7jOg5OTEyqVivj4+OdO03d2dmbJkiXcu3dPubnfvXs3mpqaar9jR48eJTs7WwmO7Nu3j+rVq5e6xkJFxnDx4kUuXryotHfq1Clu375Nw4YNgYc7pJw4cULtvKSkpHIFGVQqFYGBgQQGBjJw4EAaNGjA8ePHeeONN5577E9TVFREUVEROTk5yrGTJ0/i4+ND7969y72g6eOKgzqPtvus7TxvG0IIIYQQrxIJUDyHvLw8Ro8eDcCDBw+YP3++MtVj9OjR1KpVq8SdNuDhzf/NmzfVjt28eVMtKFAaExMTcnNzuXPnDoaGhsrxGzduYGpqCjwMYrRt25a2bduSlZXFokWL2LBhAx988AHGxsa8//77ynz6kjyeutygQQMaNGhAQUEBO3fu5JtvvmHGjBnlmvsOD/8Y37dvX7nSqYV4mrS0NIYNG8Znn33G4cOHmTt3LtHR0RVux9HRkby8PObOnUtgYKCyoOOjwsLCcHFxITg4mKCgIHR1dUlISKBr166YmZkxatQoQkND0dXVxcvLi+vXr3Py5En69etXobH06NGDiIgIevfuTWRkJNevX2fQoEH07NlTLfMpNzeXfv36MWbMGFJTU4mIiCAkJKTcv4Olad26NS4uLvTo0YPZs2eTn59PcHAwb7/9trKgrY+PD9OnT2fp0qV4enqybNkyTpw4QePGjUtte8mSJRQUFNC8eXP09fVZtmwZKpVKmZYSExPD2rVriY+Pf2obGRkZpKWlcfnyZQBSUlKAh9u1WllZce7cOVatWkWbNm0wNzfn0qVLTJ06FZVKpayVc+LECXx8fPDz82PYsGFcvXoVePhZ+bTtaffv38/Bgwdp2bIlxsbGnD17lvDwcOrWrauWPXHq1Clyc3PJyMjgzp07JCUlAShr7Xz99dfY2dnRoEED4GEW24wZMyq8m4kQQgghxKtMdvF4Djo6OkRHR9OvXz9cXFyIjo7Gx8eHwMBAoqOjnxqcAGjWrBkHDx7k7NmzFBQUkJCQwL1790oNGDzK2NgYJycnVq9ezf379ykoKODEiRMcO3ZMuZlISUnh4sWLFBQUoKuri46OjvItc6tWrVi/fr2yhWB2djZHjx7lwYMHJfaXlZVFUlISDx48QFNTE5VKVeFvrP/44w/u3r1baVNYxL9Tr169yM7OxsPDg4EDBzJ48GA+/fTTCrfj5ubGzJkziYqK4vXXX2f58uVMmTJFrU69evXYsmULR48excPDA09PT37++Wdl7YTw8HCGDx/O2LFjcXZ25oMPPlBbm6W89PX1+fXXX8nIyKBZs2a8//77+Pr6EhMTo1bP19cXJycnWrVqxQcffECHDh2e2Cr0WWloaPDzzz9jbGxMq1ataN26NXXq1GHVqlVKHT8/P8LDwwkNDaVZs2bcuXOHXr16ldl2zZo1+e677/Dy8sLV1ZVt27bxyy+/KMHUGzducPbs2VLbWLduHY0bN6Z9+/YAfPjhhzRu3FgJKlWrVo3ffvsNf39/HB0d+eCDDzA0NGTPnj3KVLYff/yR69evs2zZMqytrZXHo59JqampaGhosGPHDuDhz2bNmjX4+vpSv359+vXrh6urKzt37kRPT085z9/fX5nut2PHDmX6X7HCwkLCwsJwd3enadOmfP3110RFRTF+/PgyXz8hhBBCiH8LjaLHJxSLCluxYgX29vZ4eXkxadIk+vXrh5WVVZnn7du3j19//ZXMzExlF4/ibxTXr19f5iKZmZmZrF27lpSUFHJzczE3N8ff319ZCO/gwYNs3LiR27dvo6OjQ4MGDfjwww/R19enqKiIxMREEhMTuXXrFnp6etStW5ePP/6YatWqMWbMGN5//33l27/MzEwWLVrEpUuXKCoqwsLCgs6dOyvp5xMmTMDPz09tZf7HLVy4EB0dHWXHg8qSlZVFjRo12PL7aQyqG5Z9gvhHvVm/7N+F8vL29sbd3Z3Zs2dXWptVIScnh2rVqrF161Zat25d1cMRj0hISKBLly6cO3eu3BltQgghhBDi6Yrv1zIzMzEyMiq1rgQoxEtPAhQvNglQqMvKymLNmjXKjhCyHsuLZeTIkVhYWDBy5MiqHooQQgghxCuhIgEKWYNCCPFKWr58OZ999lmJZfb29pw8efJv63vy5MlMnjy5xLJmzZpx6tQpoqKiKi04kZaWpixkWZJTp05hZ2dXKX296qZPn17VQxBCCCGE+NeSDArx0pMMihdbZWZQVMSdO3eUNVYep6Ojo0yn+jtkZGSQkZFRYplKpcLGxqZS+8vPzyc1NfWp5Q4ODsq6GUIIIYQQQvyTJINCCPGvZ2hoqLbDzT/JxMQEExOTf6w/bW1tHB0d/7H+hBBCCCGE+DvILh5CCCGEEEIIIYSochKgEEIIIYQQQgghRJWTAIUQQgghhBBCCCGqnKxBIV4ZzZ0sy1x0RQghhBBCCCHEi0kyKIQQQgghhBBCCFHlJEAhhBBCCCGEEEKIKicBCiGEEEIIIYQQQlQ5CVAIIYQQQgghhBCiykmAQgghhBBCCCGEEFVOAhRCCCGEEEIIIYSochKgEEIIIYQQQgghRJWTAIUQQgghhBBCCCGqnAQohBBCCCGEEEIIUeW0q3oAQlSW05dvU/1OYVUP46XWwKZmVQ9BCCGEEEII8S8lGRRCCCGEEEIIIYSochKgEEIIIYQQQgghRJWTAIUQQgghhBBCCCGqnAQo/kUcHByYPXt2uevv2LGDjh07Ym1tjYGBAe7u7ixfvvyJerdv32bgwIFYW1ujp6dHvXr12Lhxo1I+ZcoUmjVrhqGhIRYWFnTq1ImUlJTKuCQhhBBCCCGEEK8ICVCIp9qzZw+urq6sXr2aY8eO8cknn9CrVy/Wr1+v1MnNzeXdd98lNTWVH3/8kZSUFL777jtsbGyUOjt37mTgwIHs27ePrVu3kpeXR5s2bbh3715VXJZ4QVQ0YCbKpqGhwU8//VTVwxBCCCGEEOKZSICinDZv3kzLli2pWbMmpqamBAQEcPbsWaX80qVLdO/eHRMTEwwMDGjatCn79+9Xyn/55ReaNWtGtWrVMDMzo3PnzkrZrVu36NWrF8bGxujr69OuXTvOnDmjlEdGRuLu7q42ntmzZ+Pg4KA879OnD506dWLGjBlYW1tjamrKwIEDycvLA8Db25sLFy4wdOhQNDQ00NDQKPOav/jiCyZMmMCbb75J3bp1GTx4MG3btmXNmjVKnUWLFpGRkcFPP/2El5cXDg4OvP3227i5uam9dn369KFRo0a4ubmxZMkS0tLSOHToUNkvvHhlHTx4kE8//bSqhyFeIA4ODsrnU/Fj6tSppZ7z4MEDBg4ciKmpKdWrV+e9997j2rVranXi4+N58803MTQ0xMrKilGjRpGfn1+uscTFxT1R1qhRIzQ0NFiyZEmFr1EIIYQQQjydBCjK6d69ewwbNozff/+d+Ph4NDU16dy5M4WFhdy9e5e3336b9PR01q1bx9GjRwkNDaWw8OGWlxs2bKBz5874+/tz5MgR4uPj8fDwUNru06cPv//+O+vWrWPv3r0UFRXh7++vBBfKKyEhgbNnz5KQkEBsbCxLlixR/oBes2YNtWvXZvz48Vy5coUrV6480+uQmZmJiYmJ8nzdunV4enoycOBALC0tef3115k8eTIFBQWltgGotSP+fczNzdHX16/qYVS63Nzcqh7CP66in1WlefQz6sqVKwwaNKjU+kOHDuWXX37hhx9+YOfOnVy+fJkuXboo5UePHsXf35+2bdty5MgRVq1axbp16xg9enSZY7G1tWXx4sVqx/bt28fVq1cxMDB4tgsUQgghhBBPJQGKcnrvvffo0qULjo6OuLu7s2jRIo4fP86pU6dYsWIF169f56effqJly5Y4OjrSrVs3PD09AZg0aRIffvgh48aNw9nZGTc3N8LCwgA4c+YM69atY+HChbz11lu4ubmxfPly0tPTK5yqbWxsTExMDA0aNCAgIID27dsTHx8PPAwGaGlpKd8gWllZVfg1+N///sfBgwf55JNPlGPnzp3jxx9/pKCggI0bNxIeHk50dDQTJ04ssY3CwkKGDBmCl5cXr7/+eoXHIF4O3t7ehISEEBISQo0aNTAzMyM8PJyioiKlTkWmeMycORMXFxcMDAywtbUlODiYu3fvqtXZvXs33t7e6OvrY2xsjJ+fH7du3QIevu+mTZuGo6Mjenp62NnZMWnSpDL7ffPNNxk1apTasevXr6Ojo0NiYqJyHRMmTKBXr14YGRkpWSGjRo2iXr166OvrU6dOHcLDw9Vu5IszoxYtWoSdnR3Vq1cnODiYgoICpk2bhpWVFRYWFuUa56Nu3LhB586d0dfXx8nJiXXr1qmV79y5Ew8PD/T09LC2tmb06NFq2QQl/Vzc3d2JjIxUnmtoaDB//nw6dOiAgYEBkyZN4tatW/To0QNzc3NUKhVOTk5P3NyXx6OfUVZWVqUGAjIzM/n++++ZOXMmPj4+NGnShMWLF7Nnzx727dsHwKpVq3B1dWXs2LE4Ojry9ttvM23aNL7++mvu3LlT6lh69OjBzp07uXjxonJs0aJF9OjRA21t7QpfmxBCCCGEKJ0EKMrpzJkzdO/enTp16mBkZKRMr0hLSyMpKYnGjRs/NSMgKSkJX1/fEsuSk5PR1tamefPmyjFTU1Pq169PcnJyhcbYqFEjtLS0lOfW1tb89ddfFWrjaRISEvjkk0/47rvvaNSokXK8sLAQCwsLvv32W5o0acIHH3zAl19+yYIFC0psZ+DAgZw4caLEtGnxaomNjUVbW5sDBw4wZ84cZs6cycKFC5+pLU1NTb766itOnjxJbGws27dvJzQ0VCkv/h1r2LAhe/fuZdeuXQQGBiqZPGFhYUydOpXw8HAlqGhpaVlmvz169CAuLk4tsLJq1Spq1arFW2+9pRybMWMGbm5uHDlyhPDwcODhjfaSJUs4deoUc+bM4bvvvmPWrFlq7Z89e5ZNmzaxefNmVq5cyffff0/79u25dOkSO3fuJCoqijFjxqhNFyvLuHHj6NatG8eOHcPf358ePXqQkZEBQHp6Ov7+/jRr1oyjR48yf/58vv/++6cGFEsTGRlJ586dOX78OH379lVe202bNpGcnMz8+fMxMzNT6nt7e9OnT58y2506dSqmpqY0btyY6dOnlzoV49ChQ+Tl5dG6dWvlWIMGDbCzs2Pv3r0A5OTkUK1aNbXzVCoVDx48KHOamaWlJX5+fsTGxgJw//59Vq1aRd++fcu8DiGEEEIIUXHyFVA5BQYGYm9vz3fffUetWrUoLCzk9ddfJzc3F5VKVeq5ZZWXRVNTU+0GCUpOqdbR0VF7rqGhoUwzeR47d+4kMDCQWbNm0atXL7Uya2trdHR01AIjzs7OXL16ldzcXHR1dZXjISEhrF+/nsTERGrXrv3c4xIvNltbW2bNmoWGhgb169fn+PHjzJo1i/79+1e4rSFDhij/dnBwYOLEiQQFBTFv3jwApk2bRtOmTZXngBJIu3PnDnPmzCEmJobevXsDULduXVq2bFlmv926dWPIkCHs2rVLCUisWLGC7t27q63j4uPjw/Dhw9XOHTNmjNqYR4wYQVxcnFpgpbCwkEWLFmFoaEjDhg155513SElJYePGjWhqalK/fn2ioqJISEhQC2KWpk+fPnTv3h2AyZMn89VXX3HgwAHatm3LvHnzsLW1JSYmBg0NDRo0aMDly5cZNWoUY8eORVOz/DHrjz76SC2bKi0tjcaNG9O0aVPlmh9lZ2eHtbV1qW1+/vnnvPHGG5iYmLBnzx7CwsK4cuUKM2fOLLH+1atX0dXVpWbNmmrHLS0tuXr1KgB+fn7Mnj2blStX0q1bN65evcr48eMByjXVrW/fvgwfPpwvv/ySH3/8kbp16z6xJpAQQgghhKgckkFRDjdv3iQlJYUxY8bg6+uLs7OzkjoO4OrqSlJSkvIt5eNcXV2VqRaPc3Z2Jj8/X+0b0uL+GjZsCDycq3/16lW1IEVSUlKFr0NXV7fUtSFKsmPHDtq3b09UVFSJCxp6eXnx559/qgVCTp8+jbW1tRKcKCoqIiQkhLVr17J9+3Zee+21Co9dvHxatGihdhPv6enJmTNnKvweBNi2bRu+vr7Y2NhgaGhIz549uXnzJvfv3wfKzlLKycl5anlpzM3NadOmjbK97vnz59m7dy89evRQq1d8U/6oVatW4eXlhZWVFdWrV2fMmDGkpaWp1XFwcMDQ0FB5bmlpScOGDdUCBZaWlhXKhHJ1dVX+bWBggJGRkXJ+cnIynp6eaj8XLy8v7t69y6VLl8rdBzx5zQMGDCAuLg53d3dCQ0PZs2ePWvnSpUuZMmVKqW0OGzYMb29vXF1dCQoKIjo6mrlz55KTk1OhsT2qTZs2TJ8+naCgIGUbZH9/f4ByBWTat2/P3bt3SUxMZNGiRZI9IYQQQgjxN5IARTkYGxtjamrKt99+y59//sn27dsZNmyYUt69e3esrKzo1KkTu3fv5ty5c6xevVpJMY6IiGDlypVERESQnJzM8ePHiYqKAsDJyYmOHTvSv39/du3axdGjR/n444+xsbGhY8eOwMPU6OvXrzNt2jTOnj3L119/zaZNmyp8HQ4ODiQmJpKens6NGzfKrJ+QkED79u35/PPPee+997h69SpXr15VC8QMGDCAjIwMBg8ezOnTp9mwYQOTJ09m4MCBSp2BAweybNkyVqxYgaGhodJOdnZ2ha9B/PukpqYSEBCgbHl76NAhvv76a+D/FqQsLUvpeTOYevTowY8//kheXh4rVqzAxcUFFxcXtTqPr5NQHMTw9/dn/fr1HDlyhC+//PKJBTRLynp63kyo5z2/vBlbj19zu3btlJ2CLl++jK+vLyNGjCh3vyVp3rw5+fn5pKamllhuZWVFbm4ut2/fVjt+7do1tXV2hg0bxu3bt0lLS+PGjRvKZ2udOnXKHIO2tjY9e/YkIiKC/fv3PxGcEkIIIYQQlUcCFOWgqalJXFwchw4d4vXXX2fo0KFMnz5dKdfV1WXLli1YWFjg7++Pi4sLU6dOVaY9eHt788MPP7Bu3Trc3d3x8fHhwIEDyvmLFy+mSZMmBAQE4OnpSVFRERs3blRuNJydnZk3bx5ff/01bm5uHDhw4Jn+8B8/fjypqanUrVsXc3PzMuvHxsZy//59pkyZgrW1tfJ4dIV8W1tbfv31Vw4ePIirqyuff/45gwcPVlshf/78+WRmZuLt7a3WzqpVqyp8DeLl8fi6Cfv27cPJyUltOlB5HDp0iMLCQqKjo2nRogX16tXj8uXLanVKy1JycnJCpVI9tbwsHTt25MGDB2zevJkVK1aU6wZ1z5492Nvb8+WXX9K0aVOcnJy4cOHCM/VfmZydnZWdgort3r0bQ0NDZdqVubm52tSHrKwszp8/X672zc3N6d27N8uWLWP27Nl8++23zzXepKQkNDU1sbCwKLG8SZMm6OjoqP1sU1JSSEtLUxYpLqahoUGtWrVQqVSsXLkSW1tb3njjjXKNo2/fvuzcuZOOHTtibGz87BckhBBCCCFKJWtQlFPr1q05deqU2rFH/8i3t7fnxx9/fOr5Xbp0Ubuxf5SxsTFLly4ttf+goCCCgoLUjn3xxRfKv4u3E33U4yvxt2jRgqNHj5baz6Me3aa0NJ6ensqK+SV5/NtY8e+QlpbGsGHD+Oyzzzh8+DBz584lOjq6wu04OjqSl5fH3LlzCQwMZPfu3U8swhoWFoaLiwvBwcEEBQWhq6tLQkICXbt2xczMjFGjRhEaGoquri5eXl5cv36dkydP0q9fvzL7NzAwoFOnToSHh5OcnKys71AaJycn0tLSiIuLo1mzZmzYsIG1a9dW+NorW3BwMLNnz2bQoEGEhISQkpJCREQEw4YNU6Y7+Pj4sGTJEgIDA6lZsyZjx44tV1Bp7NixNGnShEaNGpGTk8P69etxdnZWynv16oWNjc1Tp3ns3buX/fv3884772BoaMjevXsZOnQoH3/8sRIUSE9Px9fXl6VLl+Lh4UGNGjXo168fw4YNw8TEBCMjIwYNGoSnpyctWrRQ2p4+fTpt27ZFU1OTNWvWMHXqVP73v/+VO1jm7OzMjRs3XsltcYUQQgghXiQSoBBC/C169epFdnY2Hh4eaGlpMXjw4BLXMSmLm5sbM2fOJCoqirCwMFq1asWUKVPUFmytV68eW7Zs4YsvvsDDwwOVSkXz5s2VYEJ4eDja2tqMHTuWy5cvY21t/UTArzTF0zVatWqFnZ1dmfU7dOjA0KFDCQkJIScnh/bt2xMeHq62VWdVsLGxYePGjYwcORI3NzdMTEzo16+f2oKeYWFhnD9/noCAAGrUqMGECRPKlUGhq6tLWFgYqampqFQq3nrrLbXdetLS0kpd80FPT4+4uDgiIyPJycnhtddeY+jQoWrT6fLy8khJSVHWHgGYNWsWmpqavPfee+Tk5ODn56e2WCrApk2bmDRpEjk5Obi5ufHzzz/Trl27cr1mxUxNTStUXwghhBBCVJxGkXy9/a/Vrl07fvvttxLLvvjiC7UMjRdZVlYWNWrU4GDyBaobGlX1cF5qDWxqVko73t7euLu7P5HFI4QQQgghhPh3Kb5fy8zMxMio9Ps1yaD4F1u4cOFTF6o0MTH5h0cjhBBCCCGEEOLfTBbJ/BezsbHB0dGxxIcEKMQ/Zfny5VSvXr3ER6NGjf7WvidPnvzUvis6BeDvVpWvkxBCCCGEEP8EmeIhXio5OTnk5OSoHcvKysLW1lameFSCypriURF37tzh2rVrJZbp6Ohgb2//t/WdkZGhtm3uo1QqFTY2Nn9b3xVVla+TEEIIIYQQz0qmeIhX1pQpUxg3blxVD0NUIkNDQwwNDaukbxMTk5cmW6gqXychhBBCCCH+CTLFQ7xUwsLCyMzMVHtcvHixqoclnoGDg8NLsYimhoYGP/30U7nr9+nTh06dOj1zf97e3gwZMuSZzxdCCCGEEOJlJQEK8VLR09PDyMjoiYd4+Rw8ePCZth39p125cuWFW4/iRRYZGUmDBg0wMDDA2NiY1q1bs3///ifqbdiwgebNm6NSqTA2Ni4zqLNmzRratGmDqakpGhoaJCUlqZWnpqaioaFR4uOHH35Q6qWlpdG+fXv09fWxsLBg5MiR5OfnV8alCyGEEEKI5yQBCiFElTA3N0dfX7+qh1EmKysr9PT0qnoYf7vc3NxKaadevXrExMRw/Phxdu3ahYODA23atOH69etKndWrV9OzZ08++eQTjh49yu7du/noo49KbffevXu0bNmSqKioEsttbW25cuWK2mPcuHFqC54WFBTQvn17cnNz2bNnD7GxsSxZsoSxY8dWyrULIYQQQojnIwGKF1ReXh7ffPMNw4cPf+of5EK8qLy9vQkJCSEkJIQaNWpgZmZGeHg4j67JW5EpHjNnzsTFxQUDAwNsbW0JDg7m7t27anV2796Nt7c3+vr6GBsb4+fnx61btwAoLCxk2rRpODo6oqenh52dHZMmTSpX349P8Th+/Dg+Pj6oVCpMTU359NNPnxgLwLhx4zA3N8fIyIigoKAKBQAKCwsJDQ3FxMQEKysrIiMj1crT0tLo2LEj1atXx8jIiG7duqktoFnSNJMhQ4bg7e2tPC/+GQ0ZMgQzMzP8/PwoKioiMjISOzs79PT0qFWrFp9//nm5xw3w0Ucf0bp1a+rUqUOjRo2YOXMmWVlZHDt2DID8/HwGDx7M9OnTCQoKol69ejRs2JBu3bqV2m7Pnj0ZO3YsrVu3LrFcS0sLKysrtcfatWvp1q0b1atXB2DLli2cOnWKZcuW4e7uTrt27ZgwYQJff/11pQVohBBCCCHEs5MARSX673//q6Qyjxs3jhs3bjxzW4cPH+batWtMnTqVUaNGPVF++vRphg8f/sTx9evXs2DBgmfu9++WlZXFiBEjmDx5clUPRfzNYmNj0dbW5sCBA8yZM4eZM2eycOHCZ2pLU1OTr776ipMnTxIbG8v27dsJDQ1VypOSkvD19aVhw4bs3buXXbt2ERgYSEFBAfBw7ZKpU6cSHh7OqVOnWLFiBZaWlhUex7179/Dz88PY2JiDBw/yww8/sG3bNkJCQtTqxcfHk5yczI4dO1i5ciVr1qyp0OKusbGxGBgYsH//fqZNm8b48ePZunUr8DB40bFjRzIyMti5cydbt27l3LlzfPDBBxW+ntjYWHR1ddm9ezcLFixg9erVzJo1i2+++YYzZ87w008/4eLiotSPjIzEwcGh3O3n5uby7bffUqNGDdzc3ICHn23p6eloamrSuHFjrK2tadeuHSdOnKjw+Etz6NAhkpKS6Nevn3Js7969uLi4qP3s/fz8yMrK4uTJk5XavxBCCCGEqDjZxaMSXbhwgXfffZfs7Gzu3buHmZnZM7d18+ZNLCws0NHRqcQRPpuioiKKiorQ1Hz+eNaqVauwtbXl3r17lTAy8SKztbVl1qxZaGhoUL9+fY4fP86sWbPo379/hdt6dNFIBwcHJk6cSFBQEPPmzQNg2rRpNG3aVHkO0KhRI+Dh9pxz5swhJiaG3r17A1C3bl1atmxZ4XGsWLGCBw8esHTpUgwMDACIiYkhMDCQqKgo5cZXV1eXRYsWoa+vT6NGjRg/fjwjR45kwoQJ5fo9cnV1JSIiAgAnJydiYmKIj4/n3XffJT4+nuPHj3P+/HlsbW0BWLp0KY0aNeLgwYM0a9as3Nfj5OTEtGnTlOcbNmzAysqK1q1bo6Ojg52dHR4eHkq5mZkZdevWLbPd9evX8+GHH3L//n2sra3ZunWr8nl47tw54GGwY+bMmTg4OBAdHY23tzenT5+utF1Vvv/+e5ydnXnzzTeVY1evXn0iMFX8/OrVq5XSrxBCCCGEeHYSoKgkOTk53L59G0tLS1JSUrCzsyvznP3797N582aysrKoVasWXbt2xc7OjtWrV7Njxw6KiooYOnQovr6+BAQEVHhMeXl5xMXFcezYMQoKCjA2NqZnz544ODhQVFTEjh07SExMJCsri9q1a/Phhx9ibW0NwJgxY2jZsiXHjh0jPT2d0NBQ0tPT2bBhA1lZWVSrVo233noLf3//co/n6NGj3L9/Hw8PDxISEip8PeLl0qJFCzQ0NJTnnp6eREdHU1BQgJaWVoXa2rZtG1OmTOGPP/4gKyuL/Px8Hjx4wP3799HX1ycpKYmuXbuWeG5ycjI5OTn4+vo+1/UUt+Xm5qYEJwC8vLwoLCwkJSVFudl1c3NTW1/D09OTu3fvcvHiRezt7cvsx9XVVe25tbU1f/31lzIGW1tbJTgB0LBhQ2rWrElycnKFAhRNmjRRe961a1dmz55NnTp1aNu2Lf7+/gQGBqKt/fC/iuJpO2V55513SEpK4saNG3z33Xd069aN/fv3Y2FhQWFhIQBffvkl7733HgCLFy+mdu3a/PDDD3z22WflHv/TZGdns2LFCsLDw5+7LSGEEEII8c+RAMVzOnLkCMuWLaOwsJC8vDxGjBihrAg/fPhwWrduXeIOAGfOnCEuLo7g4GDq1KnDzp07iYmJYdy4cbz33nvo6elx6dIlgoKCnnls+/fv59KlS4wbNw6VSsVff/2lZGQkJiayZ88eBgwYgKmpKYmJiSxYsIDw8HDlZmTfvn0MGDAAc3NzcnJymDJlCoMHD8bJyYn79+8rN0wAEydOxM/P76k3R9nZ2axevZqQkBDOnj37zNck/n1SU1MJCAhgwIABTJo0CRMTE3bt2kW/fv3Izc1FX18flUr11PNLK3tRPZ45paGhodzYl4empqbaeh/wMGD5uEcDLfAw6yUlJYVt27axdetWgoODmT59Ojt37qxQNpeBgQGOjo44OjrSokULnJyc+P777wkLC1OCoA0bNlTq6+npUadOHdLS0srdR2l+/PFH7t+/T69evdSOW1lZceDAAbVjxWt3WFlZVUrfQgghhBDi2ckaFM+pcePGREdH4+PjQ/v27YmOjqZOnToMHDiQ6Ojop25PeODAATw8PHByckJLSwsfHx/09fUrdR62lpYWOTk5XL16laKiIiwtLZX06cTERAICArCwsEBLS4t33nmH3NxcUlNTlfNbtWqFpaUlmpqaaGpqoqWlxdWrV8nOzkZfX19tLvqYMWNK/eZ27dq1tGjRAgsLi0q7PvFie3xryX379inv94o4dOgQhYWFREdH06JFC+rVq8fly5fV6ri6uhIfH1/i+U5OTqhUqqeWV4SzszNHjx5Vm6K0e/duNDU1qV+/vnLs6NGjZGdnK8/37dtH9erV1bIenmcMFy9e5OLFi8qxU6dOcfv2beWm39zcnCtXrqid9/i2nE+jUqkIDAzkq6++YseOHezdu5fjx48/15gLCwvJyckBHmZt6OnpkZKSopTn5eWRmpparuyS8vj+++/p0KED5ubmasc9PT05fvy4WnB169atGBkZqQVMhBBCCCFE1ZAMikpy5swZOnToQEFBARcvXuS1114rtf6tW7eoV6+e2jEzMzNl14GyaGlpKQsAPurR9HkPDw8yMzNZuXIlt27dwtXVlS5dulC9enVu3rzJkiVL1ObD5+fnq/VvbGys/FtPT48BAwYQHx/P2rVrsbGxISAgQO2m7Gn+/PNPzp49S1hYWLmuTbwa0tLSGDZsGJ999hmHDx9m7ty5REdHV7gdR0dH8vLymDt3LoGBgcqCjo8KCwvDxcWF4OBggoKC0NXVJSEhga5du2JmZsaoUaMIDQ1FV1cXLy8vrl+/zsmTJ9UWUCyPHj16EBERQe/evYmMjOT69esMGjSInj17qq1tkJubS79+/RgzZgypqalEREQQEhJSKeu4tG7dGhcXF3r06MHs2bPJz88nODiYt99+m6ZNmwLg4+PD9OnTWbp0KZ6enixbtowTJ07QuHHjUttesmQJBQUFNG/eHH19fZYtW4ZKpVICBzExMaxdu/apwZ579+4xadIkOnTogLW1NTdu3ODrr78mPT1dmYJTvKtJREQEtra22NvbM336dICnTtMByMjIIC0tTQlOFQc4infsKPbnn3+SmJjIxo0bn2ijTZs2NGzYkJ49ezJt2jSuXr3KmDFjGDhw4L9iK1khhBBCiBedBCieQ15eHqNHjwbgwYMHzJ8/X5nqMXr0aGrVqlXiThvw8Ob/5s2basdu3rypFhQojYmJCbm5udy5cwdDQ0Pl+I0bNzA1NQUeBjHatm1L27ZtycrKYtGiRWzYsIEPPvgAY2Nj3n//fWUhwZI8un4AQIMGDWjQoAEFBQXs3LmTb775hhkzZpR50/XHH39w48YNJUCRn59PXl4eI0eOZMyYMdSoUaNc1yxeLr169SI7OxsPDw+0tLQYPHgwn376aYXbcXNzY+bMmURFRREWFkarVq2YMmWKWvp+vXr12LJlC1988QUeHh6oVCqaN29O9+7dAZSpS2PHjuXy5ctYW1s/0/QpfX19fv31VwYPHkyzZs3Q19fnvffeY+bMmWr1fH19cXJyolWrVuTk5NC9e/cntgp9VhoaGvz8888MGjSIVq1aoampSdu2bZk7d65Sx8/Pj/DwcEJDQ3nw4AF9+/alV69eZWZC1KxZk6lTpzJs2DAKCgpwcXHhl19+UT5Tbty4UeoULS0tLf744w9iY2OVz6JmzZrx22+/qX3WTJ8+HW1tbXr27El2djbNmzdn+/btap9/Dg4O9OnTR3nd1q1bxyeffKKUf/jhhwBERESovbaLFi2idu3atGnTpsTxrV+/ngEDBuDp6YmBgQG9e/dm/Pjxpb4uQgghhBDin6FR9PhEZVFhp06dIjExkaCgIH755Rd0dXXx8/Mr9ZzTp0+zYMECBg4ciIODA4mJiWzatInIyEj09fVZv359mWtQzJo1C2NjY7p164aenh7Jycl89913DB8+HDs7O1JSUtDX16dWrVrk5eXx/fffY2lpyfvvv09CQgIHDhygT58+WFpakp2dzenTp6lfvz7VqlVjzJgxvP/++7i7uwMPtwc9d+4cDRo0QE9Pj3379rFmzRqioqLKDFBkZ2fz4MED5fnhw4fZs2cPISEh1KhR47m/Vc7KyqJGjRocTL5AdUOj52rr366BTc1Kacfb2xt3d3dmz55dKe1VlZycHKpVq8bWrVtp3bp1VQ/nX+P+/fuYmpqyadMmvL29q3o4QgghhBDiORTfr2VmZmJkVPr9mmRQVIKkpCRcXFwAOHbsWLnSxuvVq0e3bt1YtmwZmZmZ1KpVi4EDB6qt/F+Wvn37snbtWiZMmEBubi7m5ub069dP2UEkKyuLuLg4bt++jY6ODg0aNFB23fD29kZTU5Nvv/2WW7duoaenR926dZ86ZaOoqIiEhAT++9//UlRUhIWFBf/5z3+U4MKECRPw8/NT25KwmEqlUluoUF9fHy0trXJniwhRFbKyslizZg2ampo0aNCgqofzr5KQkICPj48EJ4QQQggh/mUkg0K89CSDovJURQbF8uXLn7q1pL29PSdPnqyUMZVk8uTJTJ48ucSyZs2acerUKUaOHMmIESMqpb+0tLRSF2M8depUubYoFkIIIYQQ4mVRkQwKCVCIl54EKCpPZQUoKuLOnTvKVo+P09HRqbSdHUqSkZFBRkZGiWUqlQobG5tK7S8/P19tp5zHOTg4KNv8CiGEEEII8SqQKR5CiJeGoaGh2kKv/yQTExNl691/gra2No6Ojv9Yf0IIIYQQQrxMnn/POyGEEEIIIYQQQojnJAEKIYQQQgghhBBCVDkJUAghhBBCCCGEEKLKyRoU4pVRr1bNMhddEUIIIYQQQgjxYpIMCiGEEEIIIYQQQlQ5CVAIIYQQQgghhBCiykmAQgghhBBCCCGEEFVOAhRCCCGEEEIIIYSochKgEEIIIYQQQgghRJWTAIUQQgghhBBCCCGqnAQohBBCCCGEEEIIUeUkQCGEEEIIIYQQQogqJwEKIYQQQgghhBBCVDntqh6AEJXl2u0H3C/UrephvPCsalar6iEIIYQQQgghxBMkg0IIIYQQQgghhBBVTgIUQgghhBBCCCGEqHISoBBCCCGEEEIIIUSVkwDFv4iDgwOzZ88ud/0HDx7Qp08fXFxc0NbWplOnTiXW27FjB2+88QZ6eno4OjqyZMkStfLExEQCAwOpVasWGhoa/PTTT898DUIIIYQQQgghXk0SoBBPVVBQgEql4vPPP6d169Yl1jl//jzt27fnnXfeISkpiSFDhvCf//yHX3/9Valz79493Nzc+Prrr/+poYsXSEUDY6JsEugTQgghhBCvIglQlNPmzZtp2bIlNWvWxNTUlICAAM6ePauUX7p0ie7du2NiYoKBgQFNmzZl//79Svkvv/xCs2bNqFatGmZmZnTu3Fkpu3XrFr169cLY2Bh9fX3atWvHmTNnlPLIyEjc3d3VxjN79mwcHByU53369KFTp07MmDEDa2trTE1NGThwIHl5eQB4e3tz4cIFhg4dioaGBhoaGmVes4GBAfPnz6d///5YWVmVWGfBggW89tprREdH4+zsTEhICO+//z6zZs1S6rRr146JEyeqXbP49zh48CCffvppVQ9DvIBycnJwd3dHQ0ODpKSkMuvv3bsXHx8fDAwMMDIyolWrVmRnZyvlp0+fpmPHjpiZmWFkZETLli1JSEgotU1vb280NDSYOnXqE2Xt27dHQ0ODyMjIil6aEEIIIYR4BhKgKKd79+4xbNgwfv/9d+Lj49HU1KRz584UFhZy9+5d3n77bdLT01m3bh1Hjx4lNDSUwsJCADZs2EDnzp3x9/fnyJEjxMfH4+HhobTdp08ffv/9d9atW8fevXspKirC399fCS6UV0JCAmfPniUhIYHY2FiWLFmiTLdYs2YNtWvXZvz48Vy5coUrV65Uyuuyd+/eJ7Ir/Pz82Lt3b6W0L15+5ubm6OvrV/UwKl1ubm5VD+EfV9HPpLKEhoZSq1atctXdu3cvbdu2pU2bNhw4cICDBw8SEhKCpub//TcWEBBAfn4+27dv59ChQ7i5uREQEMDVq1dLbdvW1vaJqWnp6enEx8djbW1d4esSQgghhBDPRgIU5fTee+/RpUsXHB0dcXd3Z9GiRRw/fpxTp06xYsUKrl+/zk8//UTLli1xdHSkW7dueHp6AjBp0iQ+/PBDxo0bh7OzM25uboSFhQFw5swZ1q1bx8KFC3nrrbdwc3Nj+fLlpKenVziF29jYmJiYGBo0aEBAQADt27cnPj4eABMTE7S0tDA0NMTKyuqpGREVdfXqVSwtLdWOWVpakpWVpfbNpng1eXt7ExISQkhICDVq1MDMzIzw8HCKioqUOhWZ4jFz5kxcXFwwMDDA1taW4OBg7t69q1Zn9+7deHt7o6+vj7GxMX5+fty6dQuAwsJCpk2bhqOjI3p6etjZ2TFp0qQy+33zzTcZNWqU2rHr16+jo6NDYmKich0TJkygV69eGBkZKVkho0aNol69eujr61OnTh3Cw8PVbuSLM6AWLVqEnZ0d1atXJzg4mIKCAqZNm4aVlRUWFhblGuejbty4QefOndHX18fJyYl169aple/cuRMPDw/09PSwtrZm9OjR5OfnK+Ul/Vzc3d3VsgU0NDSYP38+HTp0wMDAgEmTJnHr1i169OiBubk5KpUKJycnFi9eXKGxA2zatIktW7YwY8aMctUfOnQon3/+OaNHj6ZRo0bUr1+fbt26oaenp7weZ86cYfTo0bi6uuLk5MTUqVO5f/8+J06cKLXtgIAAbty4we7du5VjsbGxtGnTBgsLiwpfmxBCCCGEeDYSoCinM2fO0L17d+rUqYORkZEyvSItLY2kpCQaN26MiYlJiecmJSXh6+tbYllycjLa2to0b95cOWZqakr9+vVJTk6u0BgbNWqElpaW8tza2pq//vqrQm0IUVGxsbFoa2tz4MAB5syZw8yZM1m4cOEztaWpqclXX33FyZMniY2NZfv27YSGhirlxb9LDRs2ZO/evezatYvAwEAKCgoACAsLY+rUqYSHhyvBw8cDaCXp0aMHcXFxaoGVVatWUatWLd566y3l2IwZM3Bzc+PIkSOEh4cDYGhoyJIlSzh16hRz5szhu+++U5viBHD27Fk2bdrE5s2bWblyJd9//z3t27fn0qVL7Ny5k6ioKMaMGaM2Laws48aNo1u3bhw7dgx/f3969OhBRkYG8PDbf39/f5o1a8bRo0eZP38+33//PRMnTix3+8UiIyPp3Lkzx48fp2/fvspru2nTJpKTk5k/fz5mZmZKfW9vb/r06VNqm9euXaN///7897//LVd2zV9//cX+/fuxsLDgzTffxNLSkrfffptdu3YpdYo/N5cuXcq9e/fIz8/nm2++wcLCgiZNmpTavq6uLj169FALtCxZsoS+ffuWOTYhhBBCCFF5tKt6AC+LwMBA7O3t+e6776hVqxaFhYW8/vrr5ObmolKpSj23rPKyaGpqqt04Qcmp1jo6OmrPNTQ0lGkmfxcrKyuuXbumduzatWsYGRk993WLl4OtrS2zZs1CQ0OD+vXrc/z4cWbNmkX//v0r3NaQIUOUfzs4ODBx4kSCgoKYN28eANOmTaNp06bKc3gYmAO4c+cOc+bMISYmht69ewNQt25dWrZsWWa/3bp1Y8iQIezatUsJSKxYsYLu3burrdfi4+PD8OHD1c4dM2aM2phHjBhBXFycWmClsLCQRYsWYWhoSMOGDXnnnXdISUlh48aNaGpqUr9+faKiokhISFALVpamT58+dO/eHYDJkyfz1VdfceDAAdq2bcu8efOwtbUlJiYGDQ0NGjRowOXLlxk1ahRjx45VmxZRlo8++ohPPvlEeZ6Wlkbjxo1p2rSpcs2PsrOzK3VaRFFREX369CEoKIimTZuSmppa5hjOnTsHPAyWzJgxA3d3d5YuXYqvry8nTpzAyckJDQ0Ntm3bRqdOnTA0NERTUxMLCws2b96MsbFxmX307duXt956izlz5nDo0CEyMzMJCAiQ9SeEEEIIIf5BkkFRDjdv3iQlJYUxY8bg6+uLs7OzklIO4OrqSlJSkvLt5eNcXV2VqRaPc3Z2Jj8/X+2b0+L+GjZsCDycw3/16lW1IEV5FpR7nK6urvJNc2Xx9PR84tq2bt2qTG8Rr74WLVqo3cR7enpy5syZZ3qvbdu2DV9fX2xsbDA0NKRnz57cvHmT+/fvA2VnI+Xk5Dy1vDTm5ua0adOG5cuXAw93p9m7dy89evRQq1d8U/6oVatW4eXlhZWVFdWrV2fMmDGkpaWp1XFwcMDQ0FB5bmlpScOGDdUCBZaWlhXKeHJ1dVX+XbxoZPH5ycnJeHp6qv1cvLy8uHv3LpcuXSp3H/DkNQ8YMIC4uDjc3d0JDQ1lz549auVLly5lypQpT21v7ty53LlzR5nmVh7FgdbPPvuMTz75hMaNGzNr1izq16/PokWLgIeBj4EDB2JhYcFvv/3GgQMH6NSpE4GBgeVac8fNzQ0nJyd+/PFHFi1aRM+ePdHWlhi+EEIIIcQ/SQIU5WBsbIypqSnffvstf/75J9u3b2fYsGFKeffu3bGysqJTp07s3r2bc+fOsXr1amWhyIiICFauXElERATJyckcP36cqKgoAJycnOjYsSP9+/dn165dHD16lI8//hgbGxs6duwIPEyZvn79OtOmTePs2bN8/fXXbNq0qcLX4eDgQGJiIunp6dy4caNc55w6dUoJvmRmZpKUlKQWHAkKCuLcuXOEhobyxx9/MG/ePP73v/8xdOhQpc7du3fVzjt//jxJSUlP3MSJf7fU1FQCAgJwdXVl9erVHDp0SNmatnhBytKycp43Y6dHjx78+OOP5OXlsWLFClxcXHBxcVGrY2BgoPa8OIjh7+/P+vXrOXLkCF9++eUTC2iWlN30vBlPz3t+eTOzHr/mdu3aKTsCXb58GV9fX0aMGFHufrdv387evXvR09NDW1sbR0dH4GEgpDjz5XHFGRnFQdtizs7OyufI9u3bWb9+PXFxcXh5efHGG28wb948VCoVsbGx5Rpb3759+frrr/nxxx9leocQQgghRBWQAEU5aGpqEhcXx6FDh3j99dcZOnQo06dPV8p1dXXZsmULFhYW+Pv74+LiwtSpU5X1ILy9vfnhhx9Yt24d7u7u+Pj4cODAAeX8xYsX06RJEwICAvD09KSoqIiNGzcqNyDOzs7MmzePr7/+Gjc3Nw4cOFChG4Ji48ePJzU1lbp162Jubl6uc/z9/WncuDG//PILO3bsoHHjxjRu3Fgpf+2119iwYQNbt27Fzc2N6OhoFi5ciJ+fn1Ln999/Vztv2LBhNG7cmLFjx1b4GsSL5/F1E/bt24eTk5PaeijlcejQIQoLC4mOjqZFixbUq1ePy5cvq9UpLRvJyckJlUr11PKydOzYkQcPHrB582ZWrFjxRPZESfbs2YO9vT1ffvklTZs2xcnJiQsXLjxT/5XJ2dlZ2RGo2O7duzE0NKR27drAw6yRRzMLsrKyOH/+fLnaNzc3p3fv3ixbtozZs2fz7bfflntsX331FUePHlWClhs3bgQeZqI8baFQBwcHatWqRUpKitrx06dPY29vD6Bk2Tw+fUVTU7PcgZuPPvqI48eP8/rrrz8RDBFCCCGEEH8/yV8tp9atW3Pq1Cm1Y4/+8W9vb8+PP/741PO7dOlCly5dSiwzNjZm6dKlpfYfFBREUFCQ2rEvvvhC+ffjW+QBT6zQ36JFC44ePVpqP48rz/xwb29vjhw5Umr549/UildHWloaw4YN47PPPuPw4cPMnTuX6OjoCrfj6OhIXl4ec+fOJTAwkN27d7NgwQK1OmFhYbi4uBAcHExQUBC6urokJCTQtWtXzMzMGDVqFKGhoejq6uLl5cX169c5efIk/fr1K7N/AwMDOnXqRHh4OMnJycr6DqVxcnIiLS2NuLg4mjVrxoYNG1i7dm2Fr72yBQcHM3v2bAYNGkRISAgpKSlEREQwbNgw5Qbex8eHJUuWEBgYSM2aNRk7dmy5gkpjx46lSZMmNGrUiJycHNavX4+zs7NS3qtXL2xsbJ46zcPOzk7tefXq1YGH64UUB0/S09Px9fVl6dKleHh4oKGhwciRI4mIiMDNzQ13d3diY2P5448/lM9dT09PjI2N6d27N2PHjkWlUvHdd99x/vx52rdvX67XzdjYmCtXrjyRnSKEEEIIIf4ZEqAQQjyXXr16kZ2djYeHB1paWgwePFjZgrMi3NzcmDlzJlFRUYSFhdGqVSumTJlCr169lDr16tVjy5YtfPHFF3h4eKBSqWjevLkSTAgPD0dbW5uxY8dy+fJlrK2tnwjslaZ4ukarVq2euJEuSYcOHRg6dCghISHk5OTQvn17wsPDq3xhRRsbGzZu3MjIkSNxc3PDxMSEfv36qS3oGRYWxvnz5wkICKBGjRpMmDChXBkUurq6hIWFkZqaikql4q233iIuLk4pT0tLq9AinCXJy8sjJSVFyYqAhwuoPnjwgKFDh5KRkYGbmxtbt26lbt26AJiZmbF582a+/PJLfHx8yMvLo1GjRvz888+4ubmVu++aNWs+19iFEEIIIcSz0yiSr7b/tdq1a8dvv/1WYtkXX3yhlqHxIsvKyqJGjRqcvnANQyOjqh7OC8+qZrVKa8vb2xt3d/cnsnWEEEIIIYQQAv7vfi0zMxOjMu7XJIPiX2zhwoVkZ2eXWGZiYvIPj0YIIYQQQgghxL+ZLJL5L2ZjY4Ojo2OJDwlQiMq2fPlyqlevXuKjUaNGf2vfkydPfmrf7dq1+1v7rqiqfJ2EEEIIIYSoSjLFQ7z0ZIpHxVTmFI+KuHPnDteuXSuxTEdHR9mN4e+QkZFBRkZGiWUqlQobG5u/re+KqsrXSQghhBBCiMomUzzEKysnJ4ecnBy1Y1lZWVU0GlERhoaGGBoaVknfJiYmL01WUFW+TkIIIYQQQlQlmeIhXipTpkyhRo0aag9bW9uqHpYQQgghhBBCiOckAQrxUgkLCyMzM1PtcfHixaoeliiFg4PDS7HLh4aGBj/99FO56/fp04dOnTo9c3/e3t4MGTLkmc8XQgghhBDiVSMBCvFS0dPTw8jI6ImHeHEdPHiQTz/9tKqHUaYrV668cAtmvsg0NDRKfEyfPl2t3oYNG2jevDkqlQpjY+MKBXWCgoLQ0NB4IsB1+vRpOnbsiJmZGUZGRrRs2ZKEhIQnzl+yZAmurq5Uq1YNCwsLBg4c+CyXKoQQQggh/iGyBsULKi8vj0WLFnH69GksLCwYNWpUVQ9JiGdibm5e1UMoFysrq6oewj8iNzcXXV3d527nypUras83bdpEv379eO+995Rjq1evpn///kyePBkfHx/y8/M5ceJEudpfu3Yt+/bto1atWk+UBQQE4OTkxPbt21GpVMyePZuAgADOnj2r/BxnzpxJdHQ006dPp3nz5ty7d4/U1NRnv2AhhBBCCPG3kwyKSvTf//6X/fv3AzBu3Dhu3LjxzG0dPnyYa9euMXXq1BKDE6dPn2b48OFPHF+/fj0LFix45n7/LrNmzeLzzz9n6NChyuP27dtVPSzxnLy9vQkJCSEkJIQaNWpgZmZGeHg4j24OVJEpHjNnzsTFxQUDAwNsbW0JDg7m7t27anV2796Nt7c3+vr6GBsb4+fnx61btwAoLCxk2rRpODo6oqenh52dHZMmTSpX349P8Th+/Dg+Pj6oVCpMTU359NNPnxgLPPxdNzc3x8jIiKCgIHJzc8vVX/F4Q0NDMTExwcrKisjISLXytLQ0OnbsSPXq1TEyMqJbt25qO3yUNM1kyJAheHt7K8+Lf0ZDhgzBzMwMPz8/ioqKiIyMxM7ODj09PWrVqsXnn39e7nHDw4DOo4+ff/6Zd955hzp16gCQn5/P4MGDmT59OkFBQdSrV4+GDRvSrVu3MttOT09n0KBBLF++HB0dHbWyGzducObMGUaPHo2rqytOTk5MnTqV+/fvK8GPW7duMWbMGJYuXcpHH31E3bp1cXV1pUOHDhW6RiGEEEII8c+SAEUlunDhAvb29mRnZ3Pv3j3MzMyeua2bN29iYWHxxB/nVaGoqIjCwsLnbqdTp07MmjVLedSsWfP5ByeqXGxsLNra2hw4cIA5c+Ywc+ZMFi5c+ExtaWpq8tVXX3Hy5EliY2PZvn07oaGhSnlSUhK+vr40bNiQvXv3smvXLgIDAykoKAAerlEydepUwsPDOXXqFCtWrMDS0rLC47h37x5+fn4YGxtz8OBBfvjhB7Zt20ZISIhavfj4eJKTk9mxYwcrV65kzZo1jBs3rtz9xMbGYmBgwP79+5k2bRrjx49n69atwMPgRceOHcnIyGDnzp1s3bqVc+fO8cEHH1T4emJjY9HV1WX37t0sWLCA1atXM2vWLL755hvOnDnDTz/9hIuLi1I/MjISBweHcrd/7do1NmzYQL9+/ZRjhw8fJj09HU1NTRo3boy1tTXt2rUrM4OisLCQnj17MnLkSBo1avREuampKfXr12fp0qXcu3eP/Px8vvnmGywsLGjSpAkAW7dupbCwkPT0dJydnalduzbdunWT9WqEEEIIIV5wMsWjkuTk5HD79m0sLS1JSUnBzs6uzHP279/P5s2bycrKolatWnTt2hU7OztWr17Njh07KCoqYujQofj6+hIQEFDhMeXl5REXF8exY8coKCjA2NiYnj174uDgQFFRETt27CAxMZGsrCxq167Nhx9+iLW1NQBjxoyhZcuWHDt2jPT0dEJDQ0lPT2fDhg1kZWVRrVo13nrrLfz9/Ss8LvFqsbW1ZdasWWhoaFC/fn2OHz/OrFmz6N+/f4XbenTRSAcHByZOnEhQUBDz5s0DYNq0aTRt2lR5Dig3sXfu3GHOnDnExMTQu3dvAOrWrUvLli0rPI4VK1bw4MEDli5dioGBAQAxMTEEBgYSFRWlBD10dXVZtGgR+vr6NGrUiPHjxzNy5EgmTJiApmbZ8V9XV1ciIiIAcHJyIiYmhvj4eN59913i4+M5fvw458+fV3aqWbp0KY0aNeLgwYM0a9as3Nfj5OTEtGnTlOcbNmzAysqK1q1bo6Ojg52dHR4eHkq5mZkZdevWLXf7sbGxGBoa0qVLF+XYuXPngIfBjpkzZ+Lg4EB0dDTe3t6cPn36qdu+RkVFoa2t/dSMDg0NDbZt20anTp0wNDREU1MTCwsLNm/ejLGxsdJ3YWEhkydPZs6cOdSoUYMxY8bw7rvvcuzYsUqZ4iKEEEIIISqfBCie05EjR1i2bBmFhYXk5eUxYsQI8vPzARg+fDitW7cuceG9M2fOEBcXR3BwMHXq1GHnzp3ExMQwbtw43nvvPfT09Lh06RJBQUHPPLb9+/dz6dIlxo0bh0ql4q+//lIyMhITE9mzZw8DBgzA1NSUxMREFixYQHh4ONraD98W+/btY8CAAZibm5OTk8OUKVMYPHgwTk5O3L9/n7/++kvpa+LEifj5+ZV607Rp0yY2btyIiYkJPj4+tGjR4pmvTbw4WrRogYaGhvLc09OT6OhoCgoK0NLSqlBb27ZtY8qUKfzxxx9kZWWRn5/PgwcPuH//Pvr6+iQlJdG1a9cSz01OTiYnJwdfX9/nup7ittzc3JTgBICXlxeFhYWkpKQoAQo3Nzf09fWVOp6enty9e5eLFy9ib29fZj+urq5qz62trZXfq+TkZGxtbdW20W3YsCE1a9YkOTm5QgGK4syCYl27dmX27NnUqVOHtm3b4u/vT2BgoPK7Xzxtp7wWLVpEjx49qFatmnKsOOvqyy+/VNalWLx4MbVr1+aHH37gs88+e6KdQ4cOMWfOHA4fPqz2nnpUUVERAwcOxMLCgt9++w2VSsXChQsJDAzk4MGDWFtbK5/HX331FW3atAFg5cqVWFlZkZCQgJ+fX7mvTQghhBBC/HNkisdzaty4MdHR0fj4+NC+fXuio6OpU6cOAwcOJDo6+qm7Ahw4cAAPDw+cnJzQ0tLCx8cHfX39ci8gVx5aWlrk5ORw9epVioqKsLS0VL61TExMJCAgAAsLC7S0tHjnnXfIzc1VW0SuVatWWFpaoqmpiaamJlpaWly9epXs7Gz09fXVUsDHjBlT6g1Tx44dGT9+PFFRUXTq1In//e9/JCUlVdq1ipdfamoqAQEBuLq6snr1ag4dOsTXX38NoKzroFKpnnp+aWUvqsencGloaFRoOpWmpqbaeh/wMHPqcY8GWuBh1ktKSgrz5s1DpVIRHBxMq1atSjy3LL/99hspKSn85z//UTtenI3VsGFD5Zienh516tQhLS3tqW399ddf2NnZoa2tjba2NhcuXGD48OHK58327dtZv349cXFxeHl58cYbbyjXERsb+9S+zc3NMTMze2rfQgghhBCi6kkGRSU5c+YMHTp0oKCggIsXL/Laa6+VWv/WrVvUq1dP7ZiZmZmy2F9ZtLS0lHn3j3r0W2sPDw8yMzNZuXIlt27dwtXVlS5dulC9enVu3rzJkiVL1NLQ8/Pz1fovTpeGhzcWAwYMID4+nrVr12JjY0NAQAD169cv13iLF86DhzcNLVu25NChQ7i7u5frfPHiKl4Ytti+ffuUwFtFHDp0iMLCQqKjo5X35f/+9z+1Oq6ursTHx5e4zoOTkxMqlYr4+PgnbpYrytnZmSVLlnDv3j3l5n737t1oamqqveePHj1Kdna2EhzZt28f1atXV8t6eJ4xXLx4kYsXLyrtnTp1itu3bys33ubm5k8ENZOSksq1do1KpSIwMJDAwEAGDhxIgwYNOH78OG+88UaFxvn999/TpEkT3Nzc1I43adIEPT09UlJSlGk2eXl5pKamPjW7pGfPnrRu3VrtmJ+fHz179uSTTz4B4P79+wBPTKHR1NRUgjteXl4ApKSkULt2bQAyMjK4ceNGuTJbhBBCCCFE1ZAAxXPIy8tj9OjRADx48ID58+crqcWjR4+mVq1aJe60AQ9v/m/evKl27ObNm2pBgdKYmJiQm5vLnTt3MDQ0VI7fuHEDU1NT4GEQo23btrRt25asrCwWLVrEhg0b+OCDDzA2Nub9998vcRG6Yo+nWDdo0IAGDRpQUFDAzp07+eabb5gxY0a55to/7lnOES+mtLQ0hg0bxmeffcbhw4eZO3cu0dHRFW7H0dGRvLw85s6dS2BgoLKg46PCwsJwcXEhODiYoKAgdHV1SUhIoGvXrpiZmTFq1ChCQ0PR1dXFy8uL69evc/LkSbXFG8ujR48eRERE0Lt3byIjI7l+/TqDBg2iZ8+eaotu5ubm0q9fP8aMGUNqaioRERGEhIRUyvu7devWuLi40KNHD2bPnk1+fj7BwcG8/fbbNG3aFAAfHx+mT5/O0qVL8fT0ZNmyZZw4cYLGjRuX2vaSJUsoKCigefPm6Ovrs2zZMlQqlXLzHhMTw9q1a4mPjy+1naysLH744YcSf97Fu5pERERga2uLvb0906dPB3jqNB1TU1Pl86uYjo4OVlZWSmDI09MTY2NjevfuzdixY1GpVHz33XecP3+e9u3bA1CvXj06duzI4MGD+fbbbzEyMiIsLIwGDRrwzjvvlHpNQgghhBCi6shd4nPQ0dEhOjqafv364eLiokz1CAwMJDo6+qnBCYBmzZpx8OBBzp49S0FBAQkJCdy7d6/UgMGjjI2NcXJyYvXq1dy/f5+CggJOnDjBsWPHlJuXlJQULl68SEFBAbq6uujo6Cjfardq1Yr169crWxZmZ2dz9OhRHjx4UGJ/WVlZJCUl8eDBAzQ1NVGpVOX+hrx4+7/c3FwKCwv5448/+O2338q8iRIvh169epGdnY2HhwcDBw5k8ODBfPrppxVux83NjZkzZxIVFcXrr7/O8uXLmTJlilqdevXqsWXLFo4ePYqHhweenp78/PPPytoJ4eHhDB8+nLFjx+Ls7MwHH3ygtlZKeenr6/Prr7+SkZFBs2bNeP/99/H19SUmJkatnq+vL05OTrRq1YoPPviADh06PLFV6LPS0NDg559/xtjYmFatWtG6dWvq1KnDqlWrlDp+fn6Eh4cTGhpKs2bNuHPnDr169Sqz7Zo1a/Ldd9/h5eWFq6sr27Zt45dfflGCAzdu3ODs2bNlthMXF0dRURHdu3cvsXz69Ol8+OGH9OzZk2bNmnHhwgW2b9+uFoh1cHCo0GtmZmbG5s2buXv3Lj4+PjRt2pRdu3bx888/q2VxLF26lObNm9O+fXvefvttdHR02Lx58wuxM5IQQgghhCiZRtHjE5hFha1YsQJ7e3u8vLyYNGkS/fr1w8rKqszz9u3bx6+//kpmZqayi0fxN5jr168vc5HMzMxM1q5dS0pKCrm5uZibm+Pv768svHfw4EE2btzI7du30dHRoUGDBnz44Yfo6+tTVFREYmIiiYmJ3Lp1Cz09PerWrcvHH39MtWrVGDNmDO+//74yBSMzM5NFixZx6dIlioqKsLCwoHPnzsq3mhMmTMDPz09tJ4Bid+7cYf78+Vy9ehVAWSTzzTffrNDr/DRZWVnUqFGD0xeuYWhkVCltvsqsalYru1I5eXt74+7uzuzZsyutzaqQk5NDtWrV2Lp16xNTDMTf5/79+5iamrJp0ya8vb2rejhCCCGEEOJvUHy/lpmZiVEZ92sSoBAvPQlQVIwEKNRlZWWxZs0a+vXrx4ULF5Q1C8Tfb8OGDcybN48NGzZU9VCEEEIIIcTfpCIBCpniIYT4Ryxfvpzq1auX+Cjv1KZnNXny5Kf23bFjR0aNGkVUVFSlBSfS0tKe2l/16tVlJ4n/r3379hKcEEIIIYQQCsmgEC89yaComMrMoKiIO3fuKGuePE5HR+dv3V0hIyODjIyMEstUKhU2NjaV2l9+fr7alr2Pc3BwUNbNEEIIIYQQ4lVWkQwK+QtZCPGPMDQ0VNtx5p9kYmKCiYnJP9aftrY2jo6O/1h/QgghhBBCvApkiocQQgghhBBCCCGqnAQohBBCCCGEEEIIUeUkQCGEEEIIIYQQQogqJ2tQiFeGZc1qGBlVzQKQQgghhBBCCCGej2RQCCGEEEIIIYQQospJgEIIIYQQQgghhBBVTgIUQgghhBBCCCGEqHKyBoV46RUVFQGQlZVVxSMRQgghhBBCCPGo4vu04vu20kiAQrz0bt68CYCtrW0Vj0QIIYQQQgghREnu3LlDjRo1Sq0jAQrx0jMxMQEgLS2tzDe8EH+HrKwsbG1tuXjxIkZGRlU9HPEvI+8/UZXk/SeqmrwHRVWS91/5FBUVcefOHWrVqlVmXQlQiJeepubDpVRq1KghHwyiShkZGcl7UFQZef+JqiTvP1HV5D0oqpK8/8pW3i+SZZFMIYQQQgghhBBCVDkJUAghhBBCCCGEEKLKSYBCvPT09PSIiIhAT0+vqoci/qXkPSiqkrz//l97dx9UU/7HAfx9tSp6lFLaSuWqlh48x5IVKUnYTYhGEQaFJmHNzipti2Xt2hlt2251s+shoayxo5aokEZlry1bFhPZdUnWU6HSvb8/THfc7S7Kw/nlvl8zZ6bO93u+3/c57sy9fZzzvSQkvv5IaHwNkpD4+nv1RIoX+a4PIiIiIiIiIqLXiHdQEBEREREREZHgWKAgIiIiIiIiIsGxQEFEREREREREgmOBgjq8hIQE2NraQldXF+7u7jh9+rTQkUhDFBQUwN/fH5aWlhCJRNi/f7/QkUiDrF+/HkOGDIGBgQF69OiBKVOm4Pz580LHIg2RmJgIV1dXGBoawtDQEMOHD8ehQ4eEjkUaasOGDRCJRIiMjBQ6CmmI2NhYiEQilc3JyUnoWG8FFiioQ9u9ezeioqIQExODM2fOwM3NDT4+PqipqRE6GmmA+vp6uLm5ISEhQegopIHy8/MRHh6OoqIiHD58GE1NTfD29kZ9fb3Q0UgDWFlZYcOGDSgtLUVJSQnGjBmDyZMn49y5c0JHIw1TXFyMpKQkuLq6Ch2FNEy/fv0gk8mU24kTJ4SO9Fbgt3hQh+bu7o4hQ4Zg69atAAC5XA5ra2ssWbIEH3/8scDpSJOIRCJkZWVhypQpQkchDXXz5k306NED+fn5GDVqlNBxSAOZmJhg06ZNCAsLEzoKaYi6ujoMHDgQ3377LeLj49G/f39s2bJF6FikAWJjY7F//35IpVKho7x1eAcFdViNjY0oLS2Fl5eXcl+nTp3g5eWFU6dOCZiMiOjNu3v3LoAnfyQSvUnNzc1IT09HfX09hg8fLnQc0iDh4eHw8/NT+SxI9KZcuHABlpaWsLe3x6xZs1BdXS10pLfCO0IHIGqv2tpaNDc3w9zcXGW/ubk5KisrBUpFRPTmyeVyREZGYsSIEXB2dhY6DmmIsrIyDB8+HI8ePYK+vj6ysrLQt29foWORhkhPT8eZM2dQXFwsdBTSQO7u7khLS4OjoyNkMhnWrl0LDw8PlJeXw8DAQOh4HRoLFERERB1ceHg4ysvL+fwrvVGOjo6QSqW4e/cu9u7di5CQEOTn57NIQa/d1atXsWzZMhw+fBi6urpCxyEN5Ovrq/zZ1dUV7u7u6NWrFzIyMviY20tigYI6LFNTU2hpaeHGjRsq+2/cuAELCwuBUhERvVkRERE4ePAgCgoKYGVlJXQc0iDa2toQi8UAgEGDBqG4uBjffPMNkpKSBE5Gb7vS0lLU1NRg4MCByn3Nzc0oKCjA1q1b0dDQAC0tLQETkqYxNjaGg4MDLl68KHSUDo9rUFCHpa2tjUGDBiE3N1e5Ty6XIzc3l8/AEtFbT6FQICIiAllZWTh69Cjs7OyEjkQaTi6Xo6GhQegYpAHGjh2LsrIySKVS5TZ48GDMmjULUqmUxQl64+rq6nDp0iX07NlT6CgdHu+goA4tKioKISEhGDx4MIYOHYotW7agvr4ec+bMEToaaYC6ujqVSnlVVRWkUilMTExgY2MjYDLSBOHh4di5cyd+/vlnGBgY4Pr16wAAIyMjdOnSReB09LZbvXo1fH19YWNjg/v372Pnzp3Iy8tDTk6O0NFIAxgYGLRab0dPTw/du3fnOjz0RkRHR8Pf3x+9evXCtWvXEBMTAy0tLQQFBQkdrcNjgYI6tOnTp+PmzZtYs2YNrl+/jv79+yM7O7vVwplEr0NJSQk8PT2Vv0dFRQEAQkJCkJaWJlAq0hSJiYkAgNGjR6vsl0gkCA0NffOBSKPU1NRg9uzZkMlkMDIygqurK3JycjBu3DihoxERvXZ//fUXgoKCcOvWLZiZmWHkyJEoKiqCmZmZ0NE6PJFCoVAIHYKIiIiIiIiINBvXoCAiIiIiIiIiwbFAQURERERERESCY4GCiIiIiIiIiATHAgURERERERERCY4FCiIiIiIiIiISHAsURERERERERCQ4FiiIiIiIiIiISHAsUBARERERERGR4FigICIiIiIiItJgBQUF8Pf3h6WlJUQiEfbv39+m42NjYyESiVptenp6bRqHBQoiIiISRGhoqPIDjLa2NsRiMeLi4vD48WMAQF5eHkQiEe7cufPcsdavXw8tLS1s2rRJbfv169exZMkS2NvbQ0dHB9bW1vD390dubq5Kv99++w2BgYEwNzeHrq4u+vTpg/nz5+PPP/9UO66LiwsWLlyotu2nn36Cjo4OamtrlefSspmZmWHChAkoKytTe6yPjw+0tLRQXFzcqq3luqmbNzw8HCKRCKGhoWrHBZ59XW1tbbFlyxaVfYWFhZgwYQK6desGXV1duLi44KuvvkJzc7Oyz+XLlyESiSCVSluNOXr0aERGRqrM0XIdunbtChcXFyQnJ7c67ocffoCbmxv09fVhbGyMAQMGYP369f95XkRE1H719fVwc3NDQkJCu46Pjo6GTCZT2fr27YvAwMA2jcMCBREREQlm/PjxkMlkuHDhApYvX47Y2Nj/LDI8S2pqKlauXInU1NRWbZcvX8agQYNw9OhRbNq0CWVlZcjOzoanpyfCw8OV/Q4ePIhhw4ahoaEBO3bsQEVFBbZv3w4jIyN8+umnaucNCwtDeno6Hj582KpNIpFg0qRJMDU1Ve47f/48ZDIZcnJy0NDQAD8/PzQ2NqocV11djcLCQkRERKg9HwCwtrZuNe+jR4+wc+dO2NjYPPtitUFWVhY++OADWFlZ4dixY6isrMSyZcsQHx+PGTNmQKFQtGvcuLg4yGQylJeXIzg4GPPnz8ehQ4eU7ampqYiMjMTSpUshlUpx8uRJrFy5EnV1da/q1IiI6Cm+vr6Ij4/Hhx9+qLa9oaEB0dHRePfdd6Gnpwd3d3fk5eUp2/X19WFhYaHcbty4gT/++ANhYWFtysECBREREQlGR0cHFhYW6NWrFxYtWgQvLy8cOHCgTWPk5+fj4cOHiIuLw71791BYWKjSvnjxYohEIpw+fRoBAQFwcHBAv379EBUVhaKiIgDAgwcPMGfOHEyYMAEHDhyAl5cX7Ozs4O7uji+//BJJSUlq5w4ODsbDhw+xb98+lf1VVVXIy8tr9cGsR48esLCwwMCBAxEZGYmrV6+isrJSpY9EIsHEiROxaNEi7Nq1S23xY+DAgbC2tkZmZqZyX2ZmJmxsbDBgwIAXv3jPUF9fj/nz52PSpEn4/vvv0b9/f9ja2mLevHnYtm0b9u7di4yMjHaNbWBgAAsLC9jb22PVqlUwMTHB4cOHle0HDhzAtGnTEBYWBrFYjH79+iEoKAiff/75Kzk3IiJqm4iICJw6dQrp6en4/fffERgYiPHjx+PChQtq+ycnJ8PBwQEeHh5tmocFCiIiIvq/0aVLl1Z3FDxPSkoKgoKC0LlzZwQFBSElJUXZ9s8//yA7Oxvh4eFqn4M1NjYGAOTk5KC2thYrV65UO0dLv38zNTXF5MmTW93pkJaWBisrK3h7e6s97u7du0hPTwcAaGtrK/crFApIJBIEBwfDyckJYrEYe/fuVTvG3LlzIZFIlL+npqZizpw5avu2x6+//opbt24hOjq6VZu/vz8cHBywa9eul5pDLpdj3759uH37tsp1sLCwQFFREa5cufJS4xMR0currq6GRCLBnj174OHhgd69eyM6OhojR45UeR9q8ejRI+zYsaPNd08ALFAQERHR/wGFQoEjR44gJycHY8aMeeHj7t27h7179yI4OBjAkzsaMjIylI8CXLx4EQqFAk5OTs8cp+V/gJ7XT52wsDDk5eWhqqpKeS7btm1DSEgIOnVS/ahlZWWlXFNh586dmDRpksqcR44cwYMHD+Dj46M8n6cLLk8LDg7GiRMncOXKFVy5cgUnT55UXocX0ZLl6a26ulrZ3rLuxnvvvaf2eCcnp/9cm+N5Vq1aBX19fejo6GDq1Kno1q0b5s2bp2yPiYmBsbExbG1t4ejoiNDQUGRkZEAul7drPiIiar+ysjI0NzfDwcFB5T0jPz8fly5datU/KysL9+/fR0hISJvneudVBCYiIiJqj4MHD0JfXx9NTU2Qy+WYOXMmYmNjX/j4Xbt2oXfv3nBzcwMA9O/fH7169cLu3bsRFhb2wmsktHctBQAYN24crKysIJFIEBcXh9zcXFRXV6u9m+H48ePo2rUrioqKsG7dOnz33Xcq7ampqZg+fTreeefJR7SgoCCsWLECly5dQu/evVX6mpmZwc/PD2lpaVAoFPDz81NZ7+J5jh8/DgMDA5V9o0ePbtXvZa7Nf1mxYgVCQ0Mhk8mwYsUKLF68GGKxWNnes2dPnDp1CuXl5SgoKEBhYSFCQkKQnJyM7OzsVoUfIiJ6ferq6qClpYXS0lJoaWmptOnr67fqn5ycjIkTJ8Lc3LzNc7FAQURERILx9PREYmIitLW1YWlpqfzD/EWlpKTg3LlzKsfJ5XKkpqYiLCwMffr0gUgkarXOw785ODgAACorKzF8+PA2ZejUqRNCQ0Oxbds2xMbGQiKRwNPTE/b29q362tnZwdjYGI6OjqipqcH06dNRUFAA4MnjKFlZWWhqakJiYqLymObmZqSmpqpdf2Hu3LmIiIgAgDavvN6S5WlPX8eWa1JRUYH333+/1fEVFRXo27cvAMDQ0BDAk0dX/u3OnTswMjJS2WdqagqxWAyxWIw9e/bAxcUFgwcPVo7XwtnZGc7Ozli8eDEWLlwIDw8P5Ofnw9PTs03nSkRE7TdgwAA0NzejpqbmuWtKVFVV4dixY21eT6oFy89EREQkGD09PYjFYtjY2LS5OFFWVoaSkhLk5eVBKpUqt7y8PJw6dQqVlZUwMTGBj48PEhISUF9f32qMlq/a9Pb2hqmpKTZu3Kh2rud91emcOXNw9epVZGZmIisr64Weuw0PD0d5eTmysrIAADt27ICVlRXOnj2rcj6bN29GWlqaytd6thg/fjwaGxvR1NSkfCzkVfH29oaJiQk2b97cqu3AgQO4cOECgoKCAAAmJiYwNTVFaWmpSr979+7h4sWLymKHOtbW1pg+fTpWr179zDwtxQt1/45ERPRy6urqlO87wJNCg1QqRXV1NRwcHDBr1izMnj0bmZmZqKqqwunTp7F+/Xr88ssvKuOkpqaiZ8+e8PX1bVcO3kFBREREHVJKSgqGDh2KUaNGtWobMmQIUlJSsGnTJiQkJGDEiBEYOnQo4uLi4OrqisePH+Pw4cNITExERUUF9PT0kJycjMDAQEyaNAlLly6FWCxGbW0tMjIyUF1drVzUUh07OzuMGTMGCxYsgI6ODj766KPn5u/atSvmz5+PmJgYTJkyBSkpKZg6dSqcnZ1V+llbW2P16tXIzs6Gn5+fSpuWlhYqKiqUP79Kenp6SEpKwowZM7BgwQJERETA0NAQubm5WLFiBaZOnYpp06Yp+0dFRWHdunUwNzfHsGHDcOvWLXz22WcwMzN77vVYtmwZnJ2dUVJSgsGDB2PRokWwtLTEmDFjYGVlBZlMhvj4eJiZmbX5DhciInq+kpISlbvToqKiAAAhISFIS0uDRCJBfHw8li9fjr///humpqYYNmwYJk6cqDxGLpcjLS0NoaGh7X5P4h0URERE1OE0NjZi+/btCAgIUNseEBCAH3/8EU1NTbC3t8eZM2fg6emJ5cuXw9nZGePGjUNubq7KoxSTJ09GYWEhOnfujJkzZ8LJyQlBQUG4e/cu4uPjn5spLCwMt2/fxsyZM6Grq/tC5xEREYGKigps3LgRZ8+eVXs+RkZGGDt27H8ulmloaKh8xOJVmzp1Ko4dO4bq6mp4eHjA0dERX3/9NT755BOkp6dDJBIp+65cuRIxMTH44osv4OrqioCAAOjp6eHYsWPo0qXLM+fp27cvvL29sWbNGgCAl5cXioqKEBgYCAcHBwQEBEBXVxe5ubno3r37azlXIiJNNnr0aCgUilZbWloaAKBz585Yu3Ytqqqq0NjYiGvXriEzMxMuLi7KMTp16oSrV6++1FdCixSvY+UjIiIiIiIiIqI24B0URERERERERCQ4FiiIiIiIiIiISHAsUBARERERERGR4FigICIiIiIiIiLBsUBBRERERERERIJjgYKIiIiIiIiIBMcCBREREREREREJjgUKIiIiIiIiIhIcCxREREREREREJDgWKIiIiIiIiIhIcCxQEBEREREREZHgWKAgIiIiIiIiIsH9D3WAzbQMiNTcAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "top_pi_groups_by_vram_hours = efficiency_analysis.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=MetricsDataFrameNameEnum.PI_GROUPS,\n", + " sorting_key=\"pi_acc_vram_hours\",\n", + " ascending=False,\n", + " filter_criteria={\n", + " \"pi_acc_vram_hours\": {\"min\": 200, \"inclusive\": True}, # VRAM-hours threshold for identifying inefficient users\n", + " \"job_count\": {\"min\": 5, \"inclusive\": True}, # Minimum number of jobs to consider a PI account\n", + " },\n", + ")\n", + "# Display top inefficient users by VRAM-hours\n", + "print(\"\\nTop inefficient PI Groups by VRAM-hours:\")\n", + "display(top_pi_groups_by_vram_hours.head(20))\n", + "\n", + "pi_group_visualizer = PIGroupsWithMetricsVisualizer(top_pi_groups_by_vram_hours.head(10))\n", + "pi_group_visualizer.visualize(\n", + " output_dir_path=PI_GROUPS_VISUALIZATION_DATA_DIR,\n", + " column=\"pi_acc_vram_hours\",\n", + " bar_label_columns=[\"pi_acc_vram_hours\", \"pi_acc_job_hours\"],\n", + " figsize=(10, 6),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "29", + "metadata": {}, + "source": [ + "## [Example: Analyze all jobs with no VRAM constraints](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOS...GPUTypeGPUMemUsageGPUComputeUsageCPUMemUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vram
48256641012486<NA>-1interactiveFalseshellaccount_177user_211['sm_80', 'vram80']short...{'h100': 1}2.090231e+1095.02.544623e+103.8479680 days 00:00:0180<NA>8080
48250241011721<NA>-1train_eval_gsm8k_Llama70b_assess-128_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normal...{'l40s': 1}4.512652e+1091.03.217981e+1021.4348950 days 00:00:1848<NA>4848
48250541011724<NA>-1train_eval_gsm8k_Llama70b_assess-512_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normal...{'l40s': 1}4.504682e+1097.03.217974e+1023.7478960 days 00:00:1848<NA>4848
48250141011720<NA>-1train_eval_gsm8k_Llama70b_assess-128_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normal...{'l40s': 1}4.733272e+1089.03.217993e+1021.3853800 days 00:00:1848<NA>4848
48250641011725<NA>-1train_eval_gsm8k_Llama70b_assess-512_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normal...{'l40s': 1}4.501327e+1097.03.217968e+1023.8002680 days 00:00:1848<NA>4848
48250341011722<NA>-1train_eval_gsm8k_Llama70b_assess-256_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normal...{'l40s': 1}4.457916e+1097.03.217991e+1021.2345010 days 00:00:1848<NA>4848
48250441011723<NA>-1train_eval_gsm8k_Llama70b_assess-256_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normal...{'l40s': 1}4.642256e+1097.03.217993e+1021.2568860 days 00:00:1848<NA>4848
48249141011409<NA>-1llada_math500_miFalsenon-interactiveaccount_177user_211['vram80', 'bf16']normal...{'a100': 1}3.720138e+10100.01.581539e+0919.9235020 days 00:09:0780808080
48249041011408<NA>-1llada_math500_miFalsenon-interactiveaccount_177user_211['vram80', 'bf16']normal...{'a100': 1}3.720138e+10100.01.574261e+0919.9609740 days 00:08:0880808080
48248941011407<NA>-1llada_math500_miFalsenon-interactiveaccount_177user_211['vram80', 'bf16']normal...{'a100': 1}3.096235e+10100.01.862136e+1018.7331390 days 00:00:3280<NA>8080
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10 rows × 31 columns

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" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID \\\n", + "482566 41012486 -1 \n", + "482502 41011721 -1 \n", + "482505 41011724 -1 \n", + "482501 41011720 -1 \n", + "482506 41011725 -1 \n", + "482503 41011722 -1 \n", + "482504 41011723 -1 \n", + "482491 41011409 -1 \n", + "482490 41011408 -1 \n", + "482489 41011407 -1 \n", + "\n", + " JobName IsArray \\\n", + "482566 interactive False \n", + "482502 train_eval_gsm8k_Llama70b_assess-128_assess_sft False \n", + "482505 train_eval_gsm8k_Llama70b_assess-512_assess_sft False \n", + "482501 train_eval_gsm8k_Llama70b_assess-128_assess_sft False \n", + "482506 train_eval_gsm8k_Llama70b_assess-512_assess_sft False \n", + "482503 train_eval_gsm8k_Llama70b_assess-256_assess_sft False \n", + "482504 train_eval_gsm8k_Llama70b_assess-256_assess_sft False \n", + "482491 llada_math500_mi False \n", + "482490 llada_math500_mi False \n", + "482489 llada_math500_mi False \n", + "\n", + " Interactive Account User Constraints QOS \\\n", + "482566 shell account_177 user_211 ['sm_80', 'vram80'] short \n", + "482502 non-interactive account_177 user_437 ['l40s'] normal \n", + "482505 non-interactive account_177 user_437 ['l40s'] normal \n", + "482501 non-interactive account_177 user_437 ['l40s'] normal \n", + "482506 non-interactive account_177 user_437 ['l40s'] normal \n", + "482503 non-interactive account_177 user_437 ['l40s'] normal \n", + "482504 non-interactive account_177 user_437 ['l40s'] normal \n", + "482491 non-interactive account_177 user_211 ['vram80', 'bf16'] normal \n", + "482490 non-interactive account_177 user_211 ['vram80', 'bf16'] normal \n", + "482489 non-interactive account_177 user_211 ['vram80', 'bf16'] normal \n", + "\n", + " ... GPUType GPUMemUsage GPUComputeUsage CPUMemUsage \\\n", + "482566 ... {'h100': 1} 2.090231e+10 95.0 2.544623e+10 \n", + "482502 ... {'l40s': 1} 4.512652e+10 91.0 3.217981e+10 \n", + "482505 ... {'l40s': 1} 4.504682e+10 97.0 3.217974e+10 \n", + "482501 ... {'l40s': 1} 4.733272e+10 89.0 3.217993e+10 \n", + "482506 ... {'l40s': 1} 4.501327e+10 97.0 3.217968e+10 \n", + "482503 ... {'l40s': 1} 4.457916e+10 97.0 3.217991e+10 \n", + "482504 ... {'l40s': 1} 4.642256e+10 97.0 3.217993e+10 \n", + "482491 ... {'a100': 1} 3.720138e+10 100.0 1.581539e+09 \n", + "482490 ... {'a100': 1} 3.720138e+10 100.0 1.574261e+09 \n", + "482489 ... {'a100': 1} 3.096235e+10 100.0 1.862136e+10 \n", + "\n", + " CPUComputeUsage Queued vram_constraint partition_constraint \\\n", + "482566 3.847968 0 days 00:00:01 80 \n", + "482502 21.434895 0 days 00:00:18 48 \n", + "482505 23.747896 0 days 00:00:18 48 \n", + "482501 21.385380 0 days 00:00:18 48 \n", + "482506 23.800268 0 days 00:00:18 48 \n", + "482503 21.234501 0 days 00:00:18 48 \n", + "482504 21.256886 0 days 00:00:18 48 \n", + "482491 19.923502 0 days 00:09:07 80 80 \n", + "482490 19.960974 0 days 00:08:08 80 80 \n", + "482489 18.733139 0 days 00:00:32 80 \n", + "\n", + " requested_vram allocated_vram \n", + "482566 80 80 \n", + "482502 48 48 \n", + "482505 48 48 \n", + "482501 48 48 \n", + "482506 48 48 \n", + "482503 48 48 \n", + "482504 48 48 \n", + "482491 80 80 \n", + "482490 80 80 \n", + "482489 80 80 \n", + "\n", + "[10 rows x 31 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(314996, 31)\n" + ] + } + ], + "source": [ + "# Filter jobs where no VRAM constraint was set but a GPU was allocated\n", + "no_vram_constraint_efficiency_analysis = ea.EfficiencyAnalysis(\n", + " jobs_df=preprocessed_jobs_df, metrics_df_name_enum=MetricsDataFrameNameEnum\n", + ")\n", + "all_no_vram_constraint_jobs = no_vram_constraint_efficiency_analysis.filter_jobs_for_analysis(\n", + " vram_constraint_filter={\"min\": 0, \"inclusive\": False}, # No VRAM constraints\n", + " gpu_count_filter={\"min\": 1, \"inclusive\": True}, # At least one GPU allocated\n", + " gpu_mem_usage_filter={\"min\": 0, \"inclusive\": False}, # Used more than 0 GiB of VRAM\n", + ")\n", + "\n", + "display(all_no_vram_constraint_jobs.head(10))\n", + "print(all_no_vram_constraint_jobs.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "31", + "metadata": {}, + "source": [ + "### [Job Efficiency Metrics](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "32", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOSStatusExitCodeSubmitTimeStartTimeElapsedTimeLimitPartitionNodeListgpu_countGPUTypeGPUMemUsageGPUComputeUsageCPUComputeUsageQueuedvram_constraintpartition_constraintrequested_vramallocated_vramjob_hoursvram_hoursused_vram_giballoc_vram_efficiencyrequested_vram_efficiencyalloc_vram_efficiency_scorerequested_vram_efficiency_scoreused_cpu_mem_giballocated_cpu_mem_gibcpu_mem_efficiencycpu_core_count
48256641012486<NA>-1interactiveFalseshellaccount_177user_211['sm_80', 'vram80']shortCOMPLETEDSUCCESS2025-08-13 05:48:442025-08-13 05:48:450 days 00:31:510 days 01:00:00gpu[uri-gpu009]1{'h100': 1}2.090231e+1095.03.8479680 days 00:00:0180<NA>80800.53083342.46666719.4667970.2433350.243335-60.018834-60.01883423.69865040.00.59246612
48250241011721<NA>-1train_eval_gsm8k_Llama70b_assess-128_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu025]1{'l40s': 1}4.512652e+1091.021.4348950 days 00:00:1848<NA>48483.003611144.17333342.0273440.8755700.87557-19.157834-19.15783429.96978430.00.9989932
48250541011724<NA>-1train_eval_gsm8k_Llama70b_assess-512_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.504682e+1097.023.7478960 days 00:00:1848<NA>48483.003611144.17333341.9531250.8740230.874023-19.412664-19.41266429.96971530.00.9989912
48250141011720<NA>-1train_eval_gsm8k_Llama70b_assess-128_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu025]1{'l40s': 1}4.733272e+1089.021.3853800 days 00:00:1848<NA>48483.003611144.17333344.0820310.9183760.918376-12.276181-12.27618129.96989830.00.9989972
48250641011725<NA>-1train_eval_gsm8k_Llama70b_assess-512_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.501327e+1097.023.8002680 days 00:00:1848<NA>48483.003611144.17333341.9218750.8733720.873372-19.520095-19.52009529.96966230.00.9989892
48250341011722<NA>-1train_eval_gsm8k_Llama70b_assess-256_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.457916e+1097.021.2345010 days 00:00:1848<NA>48483.003611144.17333341.5175780.8649500.86495-20.917259-20.91725929.96987930.00.9989962
48250441011723<NA>-1train_eval_gsm8k_Llama70b_assess-256_assess_sftFalsenon-interactiveaccount_177user_437['l40s']normalTIMEOUTSUCCESS2025-08-13 05:26:382025-08-13 05:26:560 days 03:00:130 days 03:00:00gpu[gpu026]1{'l40s': 1}4.642256e+1097.021.2568860 days 00:00:1848<NA>48483.003611144.17333343.2343750.9007160.900716-15.075501-15.07550129.96989430.00.9989962
48249141011409<NA>-1llada_math500_miFalsenon-interactiveaccount_177user_211['vram80', 'bf16']normalCOMPLETEDSUCCESS2025-08-13 05:23:212025-08-13 05:32:280 days 02:19:291 days 00:00:00superpod-a100[gpu019]1{'a100': 1}3.720138e+10100.019.9235020 days 00:09:07808080802.324722185.97777834.6464840.4330810.433081-155.631854-155.6318541.47292340.00.0368235
48249041011408<NA>-1llada_math500_miFalsenon-interactiveaccount_177user_211['vram80', 'bf16']normalCOMPLETEDSUCCESS2025-08-13 05:23:212025-08-13 05:31:290 days 02:55:251 days 00:00:00superpod-a100[gpu020]1{'a100': 1}3.720138e+10100.019.9609740 days 00:08:08808080802.923611233.88888934.6464840.4330810.433081-195.725327-195.7253271.46614540.00.0366545
48248941011407<NA>-1llada_math500_miFalsenon-interactiveaccount_177user_211['vram80', 'bf16']normalCOMPLETEDSUCCESS2025-08-13 05:23:212025-08-13 05:23:530 days 01:23:091 days 00:00:00gpu-preempt[umd-cscdr-gpu002]1{'a100': 1}3.096235e+10100.018.7331390 days 00:00:3280<NA>80801.385833110.86666728.8359380.3604490.360449-113.128812-113.12881217.34249540.00.4335625
\n", + "
" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID \\\n", + "482566 41012486 -1 \n", + "482502 41011721 -1 \n", + "482505 41011724 -1 \n", + "482501 41011720 -1 \n", + "482506 41011725 -1 \n", + "482503 41011722 -1 \n", + "482504 41011723 -1 \n", + "482491 41011409 -1 \n", + "482490 41011408 -1 \n", + "482489 41011407 -1 \n", + "\n", + " JobName IsArray \\\n", + "482566 interactive False \n", + "482502 train_eval_gsm8k_Llama70b_assess-128_assess_sft False \n", + "482505 train_eval_gsm8k_Llama70b_assess-512_assess_sft False \n", + "482501 train_eval_gsm8k_Llama70b_assess-128_assess_sft False \n", + "482506 train_eval_gsm8k_Llama70b_assess-512_assess_sft False \n", + "482503 train_eval_gsm8k_Llama70b_assess-256_assess_sft False \n", + "482504 train_eval_gsm8k_Llama70b_assess-256_assess_sft False \n", + "482491 llada_math500_mi False \n", + "482490 llada_math500_mi False \n", + "482489 llada_math500_mi False \n", + "\n", + " Interactive Account User Constraints QOS \\\n", + "482566 shell account_177 user_211 ['sm_80', 'vram80'] short \n", + "482502 non-interactive account_177 user_437 ['l40s'] normal \n", + "482505 non-interactive account_177 user_437 ['l40s'] normal \n", + "482501 non-interactive account_177 user_437 ['l40s'] normal \n", + "482506 non-interactive account_177 user_437 ['l40s'] normal \n", + "482503 non-interactive account_177 user_437 ['l40s'] normal \n", + "482504 non-interactive account_177 user_437 ['l40s'] normal \n", + "482491 non-interactive account_177 user_211 ['vram80', 'bf16'] normal \n", + "482490 non-interactive account_177 user_211 ['vram80', 'bf16'] normal \n", + "482489 non-interactive account_177 user_211 ['vram80', 'bf16'] normal \n", + "\n", + " Status ExitCode SubmitTime StartTime \\\n", + "482566 COMPLETED SUCCESS 2025-08-13 05:48:44 2025-08-13 05:48:45 \n", + "482502 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "482505 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "482501 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "482506 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "482503 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "482504 TIMEOUT SUCCESS 2025-08-13 05:26:38 2025-08-13 05:26:56 \n", + "482491 COMPLETED SUCCESS 2025-08-13 05:23:21 2025-08-13 05:32:28 \n", + "482490 COMPLETED SUCCESS 2025-08-13 05:23:21 2025-08-13 05:31:29 \n", + "482489 COMPLETED SUCCESS 2025-08-13 05:23:21 2025-08-13 05:23:53 \n", + "\n", + " Elapsed TimeLimit Partition NodeList \\\n", + "482566 0 days 00:31:51 0 days 01:00:00 gpu [uri-gpu009] \n", + "482502 0 days 03:00:13 0 days 03:00:00 gpu [gpu025] \n", + "482505 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] \n", + "482501 0 days 03:00:13 0 days 03:00:00 gpu [gpu025] \n", + "482506 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] \n", + "482503 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] \n", + "482504 0 days 03:00:13 0 days 03:00:00 gpu [gpu026] \n", + "482491 0 days 02:19:29 1 days 00:00:00 superpod-a100 [gpu019] \n", + "482490 0 days 02:55:25 1 days 00:00:00 superpod-a100 [gpu020] \n", + "482489 0 days 01:23:09 1 days 00:00:00 gpu-preempt [umd-cscdr-gpu002] \n", + "\n", + " gpu_count GPUType GPUMemUsage GPUComputeUsage \\\n", + "482566 1 {'h100': 1} 2.090231e+10 95.0 \n", + "482502 1 {'l40s': 1} 4.512652e+10 91.0 \n", + "482505 1 {'l40s': 1} 4.504682e+10 97.0 \n", + "482501 1 {'l40s': 1} 4.733272e+10 89.0 \n", + "482506 1 {'l40s': 1} 4.501327e+10 97.0 \n", + "482503 1 {'l40s': 1} 4.457916e+10 97.0 \n", + "482504 1 {'l40s': 1} 4.642256e+10 97.0 \n", + "482491 1 {'a100': 1} 3.720138e+10 100.0 \n", + "482490 1 {'a100': 1} 3.720138e+10 100.0 \n", + "482489 1 {'a100': 1} 3.096235e+10 100.0 \n", + "\n", + " CPUComputeUsage Queued vram_constraint \\\n", + "482566 3.847968 0 days 00:00:01 80 \n", + "482502 21.434895 0 days 00:00:18 48 \n", + "482505 23.747896 0 days 00:00:18 48 \n", + "482501 21.385380 0 days 00:00:18 48 \n", + "482506 23.800268 0 days 00:00:18 48 \n", + "482503 21.234501 0 days 00:00:18 48 \n", + "482504 21.256886 0 days 00:00:18 48 \n", + "482491 19.923502 0 days 00:09:07 80 \n", + "482490 19.960974 0 days 00:08:08 80 \n", + "482489 18.733139 0 days 00:00:32 80 \n", + "\n", + " partition_constraint requested_vram allocated_vram job_hours \\\n", + "482566 80 80 0.530833 \n", + "482502 48 48 3.003611 \n", + "482505 48 48 3.003611 \n", + "482501 48 48 3.003611 \n", + "482506 48 48 3.003611 \n", + "482503 48 48 3.003611 \n", + "482504 48 48 3.003611 \n", + "482491 80 80 80 2.324722 \n", + "482490 80 80 80 2.923611 \n", + "482489 80 80 1.385833 \n", + "\n", + " vram_hours used_vram_gib alloc_vram_efficiency \\\n", + "482566 42.466667 19.466797 0.243335 \n", + "482502 144.173333 42.027344 0.875570 \n", + "482505 144.173333 41.953125 0.874023 \n", + "482501 144.173333 44.082031 0.918376 \n", + "482506 144.173333 41.921875 0.873372 \n", + "482503 144.173333 41.517578 0.864950 \n", + "482504 144.173333 43.234375 0.900716 \n", + "482491 185.977778 34.646484 0.433081 \n", + "482490 233.888889 34.646484 0.433081 \n", + "482489 110.866667 28.835938 0.360449 \n", + "\n", + " requested_vram_efficiency alloc_vram_efficiency_score \\\n", + "482566 0.243335 -60.018834 \n", + "482502 0.87557 -19.157834 \n", + "482505 0.874023 -19.412664 \n", + "482501 0.918376 -12.276181 \n", + "482506 0.873372 -19.520095 \n", + "482503 0.86495 -20.917259 \n", + "482504 0.900716 -15.075501 \n", + "482491 0.433081 -155.631854 \n", + "482490 0.433081 -195.725327 \n", + "482489 0.360449 -113.128812 \n", + "\n", + " requested_vram_efficiency_score used_cpu_mem_gib \\\n", + "482566 -60.018834 23.698650 \n", + "482502 -19.157834 29.969784 \n", + "482505 -19.412664 29.969715 \n", + "482501 -12.276181 29.969898 \n", + "482506 -19.520095 29.969662 \n", + "482503 -20.917259 29.969879 \n", + "482504 -15.075501 29.969894 \n", + "482491 -155.631854 1.472923 \n", + "482490 -195.725327 1.466145 \n", + "482489 -113.128812 17.342495 \n", + "\n", + " allocated_cpu_mem_gib cpu_mem_efficiency cpu_core_count \n", + "482566 40.0 0.592466 12 \n", + "482502 30.0 0.998993 2 \n", + "482505 30.0 0.998991 2 \n", + "482501 30.0 0.998997 2 \n", + "482506 30.0 0.998989 2 \n", + "482503 30.0 0.998996 2 \n", + "482504 30.0 0.998996 2 \n", + "482491 40.0 0.036823 5 \n", + "482490 40.0 0.036654 5 \n", + "482489 40.0 0.433562 5 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Jobs found: 314996\n" + ] + } + ], + "source": [ + "no_vram_constraint_jobs_with_metrics = no_vram_constraint_efficiency_analysis.calculate_job_efficiency_metrics(\n", + " all_no_vram_constraint_jobs\n", + ")\n", + "\n", + "# Set option to display all columns\n", + "pd.set_option(\"display.max_columns\", None)\n", + "# Display the DataFrame\n", + "display(no_vram_constraint_jobs_with_metrics.head(10))\n", + "# To revert to default settings (optional)\n", + "pd.reset_option(\"display.max_columns\")\n", + "print(f\"Jobs found: {len(no_vram_constraint_jobs_with_metrics)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "33", + "metadata": {}, + "source": [ + "### [Top users with most number of jobs that have no VRAM constraints](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "34", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot top users by number of jobs with no VRAM constraints\n", + "if not all_no_vram_constraint_jobs.empty:\n", + " plt.figure(figsize=(10, 5))\n", + " user_counts = all_no_vram_constraint_jobs[\"User\"].value_counts().head(20)\n", + " sns.barplot(x=user_counts.values, y=user_counts.index, orient=\"h\")\n", + " plt.xlabel(\"Number of Jobs\")\n", + " plt.ylabel(\"User\")\n", + " plt.title(\"Top 20 Users with the Most Jobs with no VRAM Constraints\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + "else:\n", + " print(\"No jobs found without VRAM constraints.\")" + ] + }, + { + "cell_type": "markdown", + "id": "35", + "metadata": {}, + "source": [ + "### [Find inefficient jobs with no VRAM Constraints based on `alloc_vram_efficiency_score`](#toc0_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Top inefficient Jobs by allocated VRAM efficiency score:\n" + ] + }, + { + "data": { + "text/html": [ + "
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JobIDArrayJobIDArrayIDJobNameIsArrayInteractiveAccountUserConstraintsQOS...vram_hoursused_vram_giballoc_vram_efficiencyrequested_vram_efficiencyalloc_vram_efficiency_scorerequested_vram_efficiency_scoreused_cpu_mem_giballocated_cpu_mem_gibcpu_mem_efficiencycpu_core_count
56552536489998<NA>-1train-14M-aoa-dec-300B-seed1Falsenon-interactiveaccount_103user_558['2080ti']normal...2162950.8266671.5000000.0021310.002131-13304988.074955-13304988.0749553.7570117040.00.000534128
62093537845053<NA>-1train-14M-RVV-dec-300B-seed2Falsenon-interactiveaccount_103user_558['2080ti']normal...2162888.2488891.5000000.0021310.002131-13304603.139442-13304603.1394423.62479810560.00.000343128
62281237710003<NA>-1train-14M-RVV-dec-300B-seed2Falsenon-interactiveaccount_103user_558['2080ti']normal...2162888.2488899.6328120.0136830.013683-9282257.950467-9282257.9504678.6613816336.00.001367128
26715124009623<NA>-1ADISeNFalsenon-interactiveaccount_108user_466['amd1900x', 'amd7402', 'amd7543', 'amd7702', ...normal...755894.0444445.7285160.0044750.004475-4088751.007772-4088751.00777245.5872691024.00.044519224
23685034087298<NA>-1pythiaFalsenon-interactiveaccount_103user_558['2080ti']normal...656966.5422221.5000000.0021310.002131-4041206.994697-4041206.9946975.06874113376.00.00037964
\n", + "

5 rows × 39 columns

\n", + "
" + ], + "text/plain": [ + " JobID ArrayJobID ArrayID JobName IsArray \\\n", + "565525 36489998 -1 train-14M-aoa-dec-300B-seed1 False \n", + "620935 37845053 -1 train-14M-RVV-dec-300B-seed2 False \n", + "622812 37710003 -1 train-14M-RVV-dec-300B-seed2 False \n", + "267151 24009623 -1 ADISeN False \n", + "236850 34087298 -1 pythia False \n", + "\n", + " Interactive Account User \\\n", + "565525 non-interactive account_103 user_558 \n", + "620935 non-interactive account_103 user_558 \n", + "622812 non-interactive account_103 user_558 \n", + "267151 non-interactive account_108 user_466 \n", + "236850 non-interactive account_103 user_558 \n", + "\n", + " Constraints QOS ... \\\n", + "565525 ['2080ti'] normal ... \n", + "620935 ['2080ti'] normal ... \n", + "622812 ['2080ti'] normal ... \n", + "267151 ['amd1900x', 'amd7402', 'amd7543', 'amd7702', ... normal ... \n", + "236850 ['2080ti'] normal ... \n", + "\n", + " vram_hours used_vram_gib alloc_vram_efficiency \\\n", + "565525 2162950.826667 1.500000 0.002131 \n", + "620935 2162888.248889 1.500000 0.002131 \n", + "622812 2162888.248889 9.632812 0.013683 \n", + "267151 755894.044444 5.728516 0.004475 \n", + "236850 656966.542222 1.500000 0.002131 \n", + "\n", + " requested_vram_efficiency alloc_vram_efficiency_score \\\n", + "565525 0.002131 -13304988.074955 \n", + "620935 0.002131 -13304603.139442 \n", + "622812 0.013683 -9282257.950467 \n", + "267151 0.004475 -4088751.007772 \n", + "236850 0.002131 -4041206.994697 \n", + "\n", + " requested_vram_efficiency_score used_cpu_mem_gib allocated_cpu_mem_gib \\\n", + "565525 -13304988.074955 3.757011 7040.0 \n", + "620935 -13304603.139442 3.624798 10560.0 \n", + "622812 -9282257.950467 8.661381 6336.0 \n", + "267151 -4088751.007772 45.587269 1024.0 \n", + "236850 -4041206.994697 5.068741 13376.0 \n", + "\n", + " cpu_mem_efficiency cpu_core_count \n", + "565525 0.000534 128 \n", + "620935 0.000343 128 \n", + "622812 0.001367 128 \n", + "267151 0.044519 224 \n", + "236850 0.000379 64 \n", + "\n", + "[5 rows x 39 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Minimum value for alloc_vram_efficiency_score: -13304988.074955102\n" + ] + }, + { + "data": { + "image/png": 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DA0WOOTU1leXl5TE5OTkWHBwsVM774eVTpkwRez/XprKykrVt25ZpaWmJvWckuX79OlNSUuLC3ydNmsT27dsn8hpFze+vvXv3SlWuhoYGs7OzqzVNcHAwA8AyMjIYY//3u3Pjxo3s77//Zg8fPmRHjhxhFhYWjMfjsUuXLgnl9/Pzk3j+3dzcpGonIV87mkiNEEIaicOHD0NWVhbBwcFC26dNm4bdu3fjzz//FBp17tq1K9q3b899NzExgZeXFw4ePIiqqqqPmqBm3LhxQuGITk5OWLFiBe7cuQNbW1skJibixYsX8PHxEZr9WFZWFp07d8apU6fqXackCQkJ0NHRETuBj7iQSeDdiHJCQgK8vb3BGBNqo5ubG7Zv344rV67A0dGR2z569GihCadqQiT/+uuvzxaK2xDXVkNDAxcvXsTDhw9hZGRU7zZNnDhR6PsPP/yA33//HYcPH4atrS3U1dXh5eWFbdu2YfHixeDxeKiqqsKOHTswYMAA8Pn8Wst/+/YtduzYAT8/P+569ejRA3p6eoiPj0fbtm3r3ebavHz5EgDEhoi/T1VVlRtdq/lvXXnq4urqCl1dXWzdupWLFsjPz8eFCxcwffp0yMiIBha+P7kg8G4UdMuWLVwoco34+Hjo6+vjm2++AfDu3h86dCi2bNmCyMhIsT/nmpqacHd3x7Zt2zBy5Ehs3boVDg4OYkOT67J69Wq0atVKaJu4Or28vESiYqytrUXSJSQkQE1NjfsubrK195WUlHzy9QHend/169eLbP/wfNdo0aIFfH19sW7dOsycOROGhoZi2wbU7/6Rk5PDunXr0KlTJ3Tp0gVjx46VKp+1tTXS09OxcOFCHDp0COnp6YiKioKKigqWL1/OlVPfNr18+VKqn5n3y64xZswYoe+6urrYvHkzOnbsKFKGoqIiDh48KLJdR0dHqnYS8rWjTjchhDQSd+7cgZGRkcgfQDWzmd+5c0doe8uWLUXKaNWqFcrLy/H333+LzB4rjQ9DbGvCBGtCQHNzcwG86zyJ8/4f058qLy8PAoGgXjOT//3333jx4gXWrVsncSmyJ0+eCH2v65g/h4a4thEREfDz84OxsTHat2+Pvn37YtSoUWjRooVUbfqwDnNzc8jIyHAhogAwatQo7NixA8nJyXB2dsbx48fx+PFjqcJpjx07hr///hudOnUSekf+m2++wbZt27BkyRKxndGPVXNuazrfkrzfyai5X+vKUxc5OTkMHToUv//+Ox48eICmTZty71RLCi2v6cwWFxdj48aNOHPmjMh731VVVdi+fTu++eYb5Ofnc9s7d+6MyMhInDhxAq6urmLLHz58OHx9fXH37l3s27cPERERH3VsnTp1QocOHepM16xZM5EHCeI4OzvXq6OlpqaGv/76S+r0kvD5fKna976ffvoJmzdvRnh4OKKiosS2Daj//VPTKW3fvr3EB4jitGrVCps3b0ZVVRVu3ryJQ4cOISIiAuPGjUPz5s3Rq1everdJVVVVqp+ZmrTvmzt3LpycnFBaWoq9e/di+/btEn+mZWVl633+Cfk3oU43IYQQjqTRcfb/J/uqrq4G8O69bnGd+oZeuqsuNe0bOXIkN5Hbh2xtbYW+13XMjZW3tzecnJywd+9eHDt2DEuXLsWSJUuwZ8+eOidlEkfcH/9ubm7Q19fHli1b4OzsjC1btsDAwECqP55r3t2W9K7o6dOnudHbz8HCwgJycnLIyMiQmKaiogLZ2dlcJ7ImT2Zm5ifXP3LkSKxatQrbtm3D9OnTsW3bNrRu3VriiP77ndkBAwagW7duGD58OLKzs7kltU6ePInCwkJs374d27dvFykjPj5eYqfb09MTCgoK8PPzQ0VFhcTr0NhZWlri6tWruHfvHoyNjf/Rulu0aIGRI0dyo93i2gYAmZmZnz1yozaysrKwsbGBjY0Nunbtim+++Qbx8fHo1auXUJsGDBhQZ1lWVla4evUqKioqJE72l5GRAXl5eZEHdTY2NtzvggEDBqC8vBxjx45Ft27d/vFrRUhjRxOpEUJII2FqaoqHDx+KjDrcunWL2/++mlHn9+Xk5EBZWRm6uroN0saa2W319PTQq1cvkc+Hs49/al3Z2dmorKyUOo+uri5UVVVRVVUltn29evUSmulXWvUZjRKnoa6toaEhJkyYgH379iE/Px/a2tpSz+T8YR23b99GdXW10MzssrKyGD58OHbv3o2ioiLs27cPPj4+db66UFZWhv3792Po0KHYtWuXyMfQ0PCzT6jG5/PxzTff4MyZMyKRAzV27tyJiooK9O/fHwCgrKyMHj164MyZM7h3794n1d+5c2eYm5tj69atuHbtGm7cuCHVBGrAu/O8ePFiPHz4EKtWreK2x8fHQ09PT+w59PHxwd69eyVObqWkpIQBAwYgKSkJvXv3/mrDeD08PAAAW7Zs+SL1//TTT3j79i2WLFkisq9Pnz6QlZX9Ym0DwD24KSwsBAB069YNmpqa2LZtG6qqqurM379/f7x+/Rq7du0Su7+goADJycno0aNHna8ChIeH4/Xr1599NnlC/g2o000IIY1E3759UVVVJfRHNwCsWLECPB5PZPTy/PnzQstD3bt3D/v374erq+tHvc8tDTc3N6ipqeGXX34R2xkWt7zYxxo8eDCePn0qcj4AyaPQsrKyGDx4MBISEsTOcP6x7ePz+SguLv6ovMDnv7ZVVVUi7dHT04ORkZHYGaPFWb16tdD33377DQBE2uLr64uioiIEBgaitLRUqlnL9+7di7KyMkycOBFDhgwR+fTv3x8JCQlSt1VaP/30Exhj8Pf3F+mM5ufnY8aMGTA0NERgYCC3fd68eWCMwdfXl5vt+31paWmIi4uTqv4RI0bg6tWrmDdvHng8Xr1mC+/evTs6deqElStX4vXr13j16hX27NmD/v37iz2HQUFBePnyJTe7tzjTp0/HvHnzMGfOHKnb0dgMGTIENjY2WLRoEc6fPy+y/+XLl/jxxx8brH5zc3OMHDmSW1rrfcbGxhg7diyOHTvG/fy8r7q6GpGRkbh///4ntyM5OVns79zDhw8DeLeMH/DuQVJoaCiysrIQGhoq9nflli1bcOnSJQBAYGAg9PT0EBISIhLG//r1a4wePRqMMcydO7fONpqbm2Pw4MGIjY0VOVeE/NdReDkhhDQSHh4e+Oabb/Djjz+ioKAAdnZ2OHbsGPbv34/JkyeLrKHapk0buLm5ITg4GAoKCvj9998BvFt3uKGoqakhOjoavr6+aNeuHYYNGwZdXV3cvXsX//vf/+Do6Ci2k/wxRo0ahU2bNmHq1Km4dOkSnJycUFZWhuPHj2PChAnw8vISmy88PBynTp1C586dMXbsWLRu3RrPnz/HlStXcPz4cZFlnaTRvn177NixA1OnTkXHjh2hoqLCjcBJ43Nf25cvX6JZs2YYMmQI7OzsoKKiguPHjyM1NRWRkZFStSk/Px+enp5wd3fH+fPnsWXLFgwfPlxkbW57e3u0adMGu3btgpWVFdq1a1dn2fHx8dDW1oaDg4PY/Z6enli/fj3+97//CS0Zt3HjRhw5ckQk/aRJk7h/nzhxQmg98RoDBgyAs7Mzli1bhqlTp8LW1hb+/v4wNDTErVu3sH79elRXV+Pw4cNCSxo5ODhg9erVmDBhAiwtLeHr64uWLVvi5cuXSEpKwoEDB/Dzzz/XecwAuCXe9u/fD0dHx3qv5x4SEoJvv/0WsbGx0NTUxMuXL+Hp6Sk2bZcuXaCrq4v4+HgMHTpUbBo7OzuJa61L688//+QiMt7n4OAg9fwBn0JeXh579uxBr1694OzsDG9vbzg6OkJeXh43btzA1q1boampWefoanFxscQR6boeJP3444/YvHkzsrOzRSaHi4yMRF5eHoKDg7mHJJqamrh79y527dqFW7duYdiwYfU7aDGWLFmCtLQ0DBo0iHtF5sqVK9i0aRO0tLSE1gkPCQnBjRs3EBkZiVOnTmHIkCEwMDDAo0ePsG/fPly6dAnnzp0DAGhra2P37t3o168f2rVrh++++w6tW7fGo0ePEBsbi9u3byMqKkriz/KHQkJCsHPnTqxcuVJonfO3b99KPP81a90T8q/2xeZNJ4SQ/7gPlwxj7N2SXFOmTGFGRkZMXl6etWzZki1dulRoiSzG/m9ZnS1btrCWLVsyBQUFZm9vz06dOlVnvbUtGfbhkk01S8N8WO6pU6eYm5sbU1dXZ4qKiszc3Jz5+/sLLXP1qUuGMcZYeXk5+/HHH1nz5s2ZvLw8MzAwYEOGDGF5eXlC5+L9JcMYY+zx48ds4sSJzNjYmMvXs2dPtm7dOpFj27Vrl9jz8/5yR6WlpWz48OFMQ0ND7DJHHzIxMRFZkutzXtuKigoWEhLC7OzsmKqqKuPz+czOzo79/vvvtbaLsf87/zdv3mRDhgxhqqqqTFNTkwUFBbFXr16JzRMREcEAsF9++aXO8h8/fszk5OSYr6+vxDTl5eVMWVmZWwKttuWpALB79+5x10XSp2Z5LMYYO3PmDPPy8mI6OjpMXl6emZiYsLFjx7KCggKJbUpLS2PDhw/nro+mpibr2bMni4uLE1ryqy4dO3ZkACRei9qWR6uqqmLm5ubM3Nyc9e/fnykqKoosCfU+f39/Ji8vzy2PV3Pv1OZzLBn24c/H56xXUllFRUVs7ty5zMbGhikrKzNFRUXWpk0bNmvWLFZYWMilq++SYe//Dq7t2tQse/X+kmE13r59y/744w/m5OTE1NXVmby8PDM1NWWjR4+WuJyYNOfsfSkpKWzixImsTZs2XB0mJibM399f6Pfh+3bv3s1cXV2ZlpYWk5OTY4aGhmzo0KEsKSlJJG1+fj4bO3YsMzExYfLy8kxHR4d5enqy5ORkkbSSfnfW6N69O1NTU+OWmqxtyTAALD8/X+rzQMjXisdYI58phhBCiAgej4eJEyd+tlFl8nlpaWmhX79+2Lx585duymcRFRWFKVOmoKCgQGS2d0IIIYTUjt7pJoQQQj6jvLw8FBUVoXXr1l+6KZ8FYwwbNmyAi4sLdbgJIYSQj0DvdBNCCCGfwV9//YXDhw8jOjoaTZo0+SzvcX5JZWVlOHDgAE6dOoXMzEzs37//SzeJEEII+SpRp5sQQgj5DM6cOYOpU6fC2toa+/fvR/Pmzb90kz7J33//jeHDh0NDQwOzZ8+WOKEXIYQQQmpH73QTQgghhBBCCCENhN7pJoQQQgghhBBCGgh1ugkhhBBCCCGEkAZC73STr0Z1dTUePnwIVVVV8Hi8L90cQgghhBBCyH8YYwwvX76EkZERZGQkj2dTp5t8NR4+fAhjY+Mv3QxCCCGEEEII4dy7dw/NmjWTuJ863eSroaqqCuDdTa2mpvaFW0MIIYQQQgj5LyspKYGxsTHXT5GEOt3kq1ETUq6mpkadbkIIIYQQQkijUNerrzSRGiGEEEIIIYQQ0kCo000IIYQQQgghhDQQ6nQTQgghhBBCCCENhDrdhBBCCCGEEEJIA6FONyGEEEIIIYQQ0kCo002IGAUFBeDxeEhPTwcAJCUlgcfj4cWLF1+0XV+rsLAw6Ovrg8fjYd++fWK3+fv7Y8CAAVKV9+H1IYQQQgghpLGiTjchpEFlZWVh/vz5WLt2LQoLC9GnTx+x26KiohAbGytVmcbGxigsLESbNm0atvFErHXr1qF79+5QU1OT+DDK09MTJiYmUFRUhKGhIXx9ffHw4cNayw0MDIS5uTmUlJSgq6sLLy8v3Lp1q9Y83bt3B4/HQ3h4uMi+fv36gcfjISwsrD6HRwghhBDyWVGnm5B/gcrKyi/dBIny8vIAAF5eXjAwMICCgoLYberq6tDQ0JCqTFlZWRgYGEBOTq6hmv1Ve/PmTYOWX15eDnd3d8yePVtimm+++QY7d+5EdnY2EhISkJeXhyFDhtRabvv27RETE4OsrCwcPXoUjDG4urqiqqqq1nzGxsYiD2wePHiAEydOwNDQUOrjIoQQQghpCF9tp5vCfb9+4kKO/ylHjhxBt27doKGhAW1tbfTv35/rCEorISEB1tbWUFBQgJmZGSIjI4X2V1RUIDQ0FMbGxlBQUICFhQU2bNhQa5nV1dVo1qwZoqOjhbZfvXoVMjIyuHPnDgCAx+MhOjoanp6e4PP5WLRoEaqqqhAQEIDmzZtDSUkJAoEAUVFRQuXUhHD/8ssv0NfXh4aGBhYsWIC3b98iJCQEWlpaaNasGWJiYqQ+D/fu3YO3tzc0NDSgpaUFLy8vFBQUAHh3jT08PAAAMjIy3Kjjh9veb9v75yIiIgIWFhZQUFCAiYkJFi1aBEB8ePn169fRp08fqKioQF9fH76+vnj69Cm3v3v37ggODsaMGTOgpaUFAwMDkRHQFy9eIDAwEPr6+lBUVESbNm1w6NAhlJWVQU1NDbt37xZKv2/fPvD5fLx8+bLWc/TmzRsEBQXB0NAQioqKMDU1xeLFi+ust0Zd95qZmRkWLlyIUaNGQU1NDePGjQMAnD17Fk5OTlBSUoKxsTGCg4NRVlZWa1ulMXnyZMycORNdunSRmGbKlCno0qULTE1N4eDggJkzZ+LChQu1PiAaN24cnJ2dYWZmhnbt2uHnn3/GvXv3uPtJkv79++Pp06dISUnhtsXFxcHV1RV6enr1Pj5CCCGEkM+pUXW66/NOpzQ+7JjXfOfxeJCRkYG6ujrs7e0xY8YMFBYW1lrWs2fP4O7uDiMjIygoKMDY2BhBQUEoKSkRSldRUYEff/wRpqam3B/IGzduFFvm9u3bwePxRI65tLQUQUFBaNasGZSUlNC6dWusWbNGKE1eXh4GDhwIXV1dqKmpwdvbG48fPxZKc+XKFfTu3ZvrWI4bNw6lpaVCaU6cOAEHBweoqqrCwMAAoaGhePv2rVCao0ePokuXLlBVVYWuri4GDx5c5x/BdREXXvxPKisrw9SpU3H58mWcOHECMjIyGDhwIKqrq6XKn5aWBm9vbwwbNgyZmZkICwvDnDlzhEbbRo0ahW3btuHXX39FVlYW1q5dCxUVlVrLlZGRgY+PD7Zu3Sq0PT4+Ho6OjjA1NeW2hYWFYeDAgcjMzMSYMWO4DvuuXbtw8+ZNzJ07F7Nnz8bOnTuFyjp58iQePnyIM2fOYPny5Zg3bx769+8PTU1NXLx4EePHj0dgYCDu379f53morKyEm5sbVFVVkZycjJSUFKioqMDd3R1v3rzB9OnTuQ58YWEhCgsLxW4TZ9asWQgPD8ecOXNw8+ZNbN26Ffr6+mLTvnjxAj169IC9vT0uX76MI0eO4PHjx/D29hZKFxcXBz6fj4sXLyIiIgILFixAYmIigHed/D59+iAlJQVbtmzBzZs3ER4eDllZWfD5fAwbNkzkYURMTAyGDBkCVVXVWs/Tr7/+igMHDnAjv/Hx8TAzM6uzXkC6ew0Ali1bBjs7O1y9ehVz5sxBXl4e3N3dMXjwYGRkZGDHjh04e/YsgoKCuDxhYWFcOxrS8+fPER8fDwcHB8jLy0uVp6ysDDExMWjevDmMjY1rTdukSROMGDFC6PrExsZizJgxn9RuQgghhJDPgjUifn5+zMvLS6q0p06dYgBYUVGR1GlqvmdnZ7PCwkKWnZ3Ntm3bxuzt7ZmWlhbLyMiQWNbz58/Z77//zlJTU1lBQQE7fvw4EwgEzMfHRyidp6cn69y5M0tMTGT5+fns3Llz7OzZsyLl5efns6ZNmzInJyeRYx47diwzNzdnp06dYvn5+Wzt2rVMVlaW7d+/nzHGWGlpKWvRogUbOHAgy8jIYBkZGczLy4t17NiRVVVVMcYYe/DgAdPU1GTjx49nt27dYpcuXWIODg5s8ODBXD3p6emsSZMmbP78+Sw3N5clJSUxS0tLNm3aNC7NX3/9xRQUFNisWbPY7du3WVpaGnN2dmb29vYSz5U0Dh48yACw6upqqfMUFxczAKy4uPiT6hbn77//ZgBYZmYmY+zd9QHArl69yhgTvZeGDx/OevfuLVRGSEgIa926NWOMsezsbAaAJSYm1rstV69eZTwej925c4cxxlhVVRVr2rQpi46O5tIAYJMnT66zrIkTJwpdcz8/P2ZqasrdJ4wxJhAImJOTE/f97du3jM/ns23bttVZ/ubNm5lAIBC6jhUVFUxJSYkdPXqUMcbY3r172Ye/asRte//nv6SkhCkoKLD169eLrffD67Nw4ULm6uoqlObevXvczztjjLm4uLBu3boJpenYsSMLDQ1ljDF29OhRJiMjw6X/0MWLF5msrCx7+PAhY4yxx48fMzk5OZaUlCQ2/ft++OEH1qNHD7H3e1311nWvMcaYqakpGzBggFCagIAANm7cOKFtycnJTEZGhr169Yoxxthvv/3GevToUWf7Janr9/CMGTOYsrIyA8C6dOnCnj59WmeZq1evZnw+nwFgAoGA3b59u9b0Li4ubNKkSSw9PZ2pqqqy0tJSdvr0aaanp8cqKyuZnZ0dmzdv3kccHSGEEEJI7aTtnzSqke73VVRUIDg4GHp6elBUVES3bt2Qmpoqki4lJQW2trZQVFREly5dcP369TrL1tPTg4GBAVq1aoVhw4YhJSUFurq6+P777yXm0dTUxPfff48OHTrA1NQUPXv2xIQJE5CcnMylOXLkCE6fPo3Dhw+jV69eMDMzQ9euXeHo6ChUVlVVFUaMGIH58+ejRYsWInWdO3cOfn5+6N69O8zMzDBu3DjY2dnh0qVL3DEXFBQgNjYWNjY2sLGxQVxcHC5fvoyTJ08CAA4dOgR5eXmsXr0aAoEAHTt2xJo1a5CQkIDbt28DAHbs2AFbW1vMnTsXFhYWcHFxQUREBFavXs2Fy6alpaGqqgo///wzzM3N0a5dO0yfPh3p6em1holmZmaiR48eUFJSEhlllxRe/E/Kzc2Fj48PWrRoATU1NW607+7du1Llz8rKErmujo6OyM3NRVVVFdLT0yErKwsXF5d6t61t27awsrLiRrtPnz6NJ0+e4NtvvxVK16FDB5G8q1evRvv27aGrqwsVFRWsW7dO5Jisra0hI/N/P/r6+vqwsbHhvsvKykJbWxtPnjyps63Xrl3D7du3oaqqChUVFaioqEBLSwuvX7+ud7j++7KyslBRUYGePXtKlf7atWs4deoU1wYVFRVYWloCgFA7bG1thfIZGhpyx5meno5mzZqhVatWYuvo1KkTrK2tERcXBwDYsmULTE1N4ezsXGf7/P39kZ6eDoFAgODgYBw7dozbV1e9dd1rNT68H65du4bY2Fihc+Lm5obq6mrk5+cDAIKCgnDixAmJ7f7ll1+E8kv781EjJCQEV69exbFjxyArK4tRo0aBMVZrnhEjRuDq1as4ffo0WrVqBW9vb7x+/brOuuzs7NCyZUvs3r0bGzduhK+vL73zTwghhJBGodF2umfMmIGEhATExcXhypUrsLCwgJubG54/fy6ULiQkBJGRkUhNTYWuri48PDzqPamUkpISxo8fj5SUFKk6GgDw8OFD7NmzR6hTdeDAAXTo0AERERFo2rQpWrVqhenTp+PVq1dCeRcsWAA9PT0EBASILdvBwQEHDhzAgwcPwBjDqVOnkJOTA1dXVwDvHkjweDwoKChweRQVFSEjI4OzZ89yaZo0aSLUuVJSUgIAoTSKiooi5+L169dIS0sD8G5iIxkZGcTExKCqqgrFxcXYvHkzevXqJTFMtKysDG5ubtDU1ERqaip27dqF48ePc2Gt0oYXNyQPDw88f/4c69evx8WLF3Hx4kUAn28Cqppz/bFGjBjBdbq3bt0Kd3d3aGtrC6Xh8/lC37dv347p06cjICAAx44dQ3p6OkaPHi1yTB9eNx6PJ3abNKH2paWlaN++PdLT04U+OTk5GD58uNTH+6H6nr/S0lJ4eHiItCM3N1eoU1zbcUpT53fffceFdcfExGD06NFSPTRq164d8vPzsXDhQrx69Qre3t7cpGKfeq/U+PB+KC0tRWBgoND5uHbtGnJzc2Fubi5VmePHjxfKb2RkVK826ejooFWrVujduze2b9+Ow4cP48KFC7XmUVdXR8uWLeHs7Izdu3fj1q1b2Lt3r1T1jRkzBqtXr8bu3bsptJwQQgghjUaj7HSXlZUhOjoaS5cuRZ8+fdC6dWusX78eSkpKIhNRzZs3D7179+ZGex8/fiz1H2jvqxkVq+tdZR8fHygrK6Np06ZQU1PDH3/8we3766+/cPbsWVy/fh179+7FypUrsXv3bkyYMIFLc/bsWWzYsAHr16+XWMdvv/2G1q1bo1mzZmjSpAnc3d2xevVqrvPQpUsX8Pl8hIaGory8HGVlZZg+fTqqqqq4DmyPHj3w6NEjLF26FG/evEFRURFmzpwJAFwaNzc3nDt3Dtu2bUNVVRUePHiABQsWCKVp3rw5jh07htmzZ0NBQQEaGhq4f/++yHvC79u6dStev36NTZs2oU2bNujRowdWrVqFzZs34/Hjx1BRUeFmqTYwMICBgUGt5/xze/bsGbKzs/HTTz+hZ8+esLKyQlFRUb3KsLKyEpq0CXgXgdCqVSvIysrCxsYG1dXVOH369Ee1cfjw4bh+/TrS0tKwe/dujBgxos48KSkpcHBwwIQJE2Bvbw8LC4tPGm2WRrt27ZCbmws9PT1YWFgIfdTV1T+63JYtW0JJSanWUdgP23Hjxg2YmZmJtOPDzqgktra2uH//PnJyciSmGTlyJO7cuYNff/0VN2/ehJ+fn1RlA4CamhqGDh2K9evXY8eOHUhISMDz58/rrLeue02Sdu3a4ebNmyLnw8LCAk2aNJGqzVpaWkL5PmXkuObhRkVFhdR5GGNgjEmdZ/jw4cjMzESbNm3QunXrj2onIYQQQsjn1ig73Xl5eaisrBQKqZSXl0enTp2QlZUllLZr167cv7W0tCAQCETSSKMm5LGuUasVK1bgypUr2L9/P/Ly8jB16lRuX3V1NXg8HuLj49GpUyf07dsXy5cvR1xcHF69eoWXL1/C19cX69evh46OjsQ6fvvtN1y4cAEHDhxAWloaIiMjMXHiRBw/fhwAoKuri127duHgwYNQUVGBuro6Xrx4gXbt2nEj2zVhsJGRkVBWVoaBgQGaN28OfX19Lo2rqyuWLl2K8ePHQ0FBAa1atULfvn0BgEvz6NEjjB07Fn5+fkhNTcXp06fRpEkTDBkyRGKYaFZWFuzs7IQ6O46OjqiurkZ2dnat5/efoKmpCW1tbaxbtw63b9/GyZMnha6jNKZNm4YTJ05g4cKFyMnJQVxcHFatWoXp06cDeDebtJ+fH8aMGYN9+/YhPz8fSUlJtT6seJ+ZmRkcHBwQEBCAqqoqeHp61pmnZcuWuHz5Mo4ePYqcnBzMmTNH7CsZn9OIESOgo6MDLy8vJCcnc8cZHBws1URskigqKiI0NBQzZszApk2bkJeXhwsXLkic/X3ixIl4/vw5fHx8kJqairy8PBw9ehSjR4+uc7mpGi4uLnB2dsbgwYORmJiI/Px8/Pnnnzhy5AiXRlNTE4MGDUJISAhcXV3RrFkzqcpevnw5tm3bhlu3biEnJwe7du2CgYEBNDQ06qy3rntNktDQUJw7dw5BQUHcqP/+/fuFJlJbtWqV1CH873v06BHS09O5V1UyMzORnp7ORSJdvHgRq1atQnp6Ou7cuYOTJ0/Cx8cH5ubm3O/sBw8ewNLSkntt5q+//sLixYuRlpaGu3fv4ty5c/j222+hpKTE/V6qi6amJgoLC6V+WEMIIYQQ8k9olJ3uL6Gmo17XTL4GBgawtLSEp6cn1q5di+joaG5U2NDQEE2bNhUa4bOysgJjDPfv30deXh4KCgrg4eEBOTk5yMnJYdOmTThw4ADk5OSQl5eHV69eYfbs2Vi+fDk8PDxga2uLoKAgDB06FMuWLePKdXV1RV5eHp48eYKnT59i8+bNePDggdA74sOHD8ejR4/w4MEDPHv2DGFhYfj777+F0kydOhUvXrzA3bt38fTpU3h5eQEAl2b16tVQV1dHREQE7O3t4ezsjC1btuDEiRNcSPbXRkZGBtu3b0daWhratGmDKVOmYOnSpfUqo127dti5cye2b9+ONm3aYO7cuViwYAH8/f25NNHR0RgyZAgmTJgAS0tLjB07tl7LNY0YMQLXrl3DwIEDpQpBDgwMxKBBgzB06FB07twZz549E4qyaAjKyso4c+YMTExMMGjQIFhZWSEgIACvX7+GmpraJ5U9Z84cTJs2DXPnzoWVlRWGDh0q8fUPIyMjpKSkoKqqCq6urrCxscHkyZOhoaEh9IpFXRISEtCxY0f4+PigdevWmDFjhkinPSAgAG/evKlX+LKqqioiIiLQoUMHdOzYEQUFBTh8+DDXttrqleZeE8fW1hanT59GTk4OnJycYG9vj7lz5wqFiD99+vSjoiHWrFkDe3t7jB07FgDg7OwMe3t7HDhwAMC7+2LPnj3o2bMnBAIBAgICuPbUvBZTWVmJ7OxslJeXA3j3oCU5ORl9+/aFhYUFhg4dClVVVZw7d65ey35paGhIHd1ACCGEEPKPaOgZ3eqjZvbi0tJS1qRJExYfH8/te/PmDWvatClbunQpY+z/Zs3dsWMHl+b58+dMWVmZ2yZp9vIPZ9otLy9nAoGAOTs716u9p0+fZgBYfn4+Y4yxtWvXMiUlJfby5Usuzb59+5iMjAwrLy9nr169YpmZmUIfLy8v1qNHD5aZmckqKiq4GfAOHz4sVNe4ceNEZjB+34kTJxiPx2O3bt2SmGbDhg1MWVm51hnf58yZw4yNjdnbt28ZY4xNnTqVderUSSjNw4cPGQCWkpIitox169YxTU1NVlpaym373//+x2RkZNijR48YY+Jnr65LQ85eToi0Nm3axLS1tVlFRcWXbgohhBBCCPmCpO2fNMqpXfl8Pr7//nuEhIRAS0sLJiYmiIiIQHl5ucjkYwsWLIC2tjb09fXx448/QkdHp861vp88eYLXr1/j5cuXSEtLQ0REBJ4+fYo9e/ZIzHP48GE8fvwYHTt2hIqKCm7cuIGQkBA4Ojpyo+PDhw/HwoULMXr0aMyfPx9Pnz5FSEgIxowZw41UtmnTRqjcmneba7Y3adIELi4uCAkJgZKSEkxNTXH69Gls2rQJy5cv5/LFxMTAysoKurq6OH/+PCZNmoQpU6ZAIBBwaVatWgUHBweoqKggMTERISEhCA8P5+oEgKVLl8Ld3R0yMjLYs2cPwsPDsXPnTu5d0X79+mHFihVYsGABfHx88PLlS8yePRumpqawt7cXe65GjBiBefPmwc/Pjxtd/+GHH+Dr6ytxnWVCGrvy8nIUFhYiPDwcgYGBUr8XTQghhBBC/uP+oYcAUvH19eXWFH716hX74YcfmI6ODlNQUGCOjo7s0qVLXNqaUeuDBw8ya2tr1qRJE9apUyd27do1kTQfjnQDYDwej6mqqjI7OzsWEhLCCgsLa23byZMnWdeuXZm6ujpTVFRkLVu2ZKGhoSKjxllZWaxXr15MSUmJNWvWjE2dOpWVl5dLLFfc2uSFhYXM39+fGRkZMUVFRSYQCFhkZKTQGr+hoaFMX1+fycvLs5YtW4rsrzmfWlparEmTJszW1pZt2rRJpP5vvvmGO6bOnTuLjLAzxri1zPl8PtPV1WWenp4sKyur1vOVkZHBvvnmG6aoqMi0tLTY2LFjhSIA/ssj3YGBgYzP54v9BAYGfunmCVm0aJHEtrq7u3/p5v2j5s2bx+Tk5FiPHj2E7mXG6DwRQgghhPwXSds/4TFWx6Kp/yB3d3dYWFhg1apVX7oppBGoqKgQmrW4pKQExsbGKC4u/uT3hb+kJ0+eoKSkROw+NTW1er2/2tCeP38uskxfDSUlJTRt2vQfblHjROeJEEIIIeS/p6SkBOrq6nX2TxpFeHlRURFSUlKQlJSE8ePHf+nmkEZi8eLFmD9//pduxmenp6fXqDrWtdHS0oKWltaXbkajR+eJEEIIIYRI0ihmLx8zZgzGjx+PadOmcbNnEzJr1iwUFxdzn3v37n22sv39/et8979GUlISeDweXrx48VF1xcbGCr1HTwghhBBCCPnvaBSd7r179+L+/ftYtGhRnetkk/8OBQUFqKmpCX0+l6ioKMTGxn628v7Nzp49C0dHR2hra0NJSQmWlpZYsWJFnfkyMjLg5OQERUVFGBsbIyIiQmh/9+7dwePxRD79+vUD8G5JqdDQUNjY2IDP58PIyAijRo3Cw4cPG+Q4CSGEEEIIaQiNIryckH/a+2up/1tVVVWBx+PVa51qcfh8PoKCgmBraws+n4+zZ88iMDAQfD4f48aNE5unpKQErq6u6NWrF9asWYPMzEyMGTMGGhoaXJ49e/bgzZs3XJ5nz57Bzs4O3377LYB3s4VfuXIFc+bMgZ2dHYqKijBp0iR4enri8uXLn3RMhBBCCCGE/FMaxUg3If+098PLKyoqEBwcDD09PSgqKqJbt25ITU0VyZOSkgJbW1soKiqiS5cuuH79er3qPHr0KKysrKCiogJ3d3cUFhZy+6qrq7FgwQI0a9YMCgoKaNu2LY4cOcLtFxfinp6eDh6Ph4KCAgD/F8Z+4MABtG7dGgoKCrh79y6SkpLQqVMn8Pl8aGhowNHREXfu3JG63fb29vDx8YG1tTXMzMwwcuRIuLm5ITk5WWKe+Ph4vHnzBhs3boS1tTWGDRuG4OBgoWXvtLS0YGBgwH0SExOhrKzMdbrV1dWRmJgIb29vCAQCdOnSBatWrUJaWhru3r0rdfsJIYQQQgj5kqjTTWoVGxsrEv6rqKgolMbf318kjbu7u1CanJwceHl5QUdHB2pqaujWrRtOnTr1Tx6KRDNmzEBCQgLi4uJw5coVWFhYwM3NTWQ26pCQEERGRiI1NRW6urrw8PBAZWWlVHWUl5dj2bJl2Lx5M86cOYO7d+9i+vTp3P6oqChERkZi2bJlyMjIgJubGzw9PZGbm1uvYykvL8eSJUvwxx9/4MaNG9DS0sKAAQPg4uKCjIwMnD9/HuPGjeNe4ygoKACPx0NSUpLUdVy9ehXnzp2Di4uLxDTnz5+Hs7Oz0FrWbm5uyM7ORlFRkdg8GzZswLBhw8Dn8yWWW1xcDB6PR+/IE0IIIYSQrwZ1uv/DqqqqUF1dXWc6NTU1FBYWch9xo6Q1I7c1n23btgnt79+/P96+fYuTJ08iLS0NdnZ26N+/Px49evTZjudjlJWVITo6GkuXLkWfPn3QunVrrF+/HkpKStiwYYNQ2nnz5qF3796wsbFBXFwcHj9+jL1790pVT2VlJdasWYMOHTqgXbt2CAoKwokTJ7j9y5YtQ2hoKIYNGwaBQIAlS5agbdu2WLlyZb2Op7KyEr///jscHBwgEAjw9u1bFBcXo3///jA3N4eVlRX8/PxgYmICAJCXl4dAIICysnKdZdeMwnfo0AETJ07Ed999JzHto0ePoK+vL7St5ru4a37p0iVcv3691jJfv36N0NBQ+Pj4fNVLxhFCCCGEkP8W6nQ3MmZmZiIdrbZt2yIsLAyMMYSFhcHExAQKCgowMjJCcHAwl66iogLTp09H06ZNwefz0blzZ6ERTEnhx3Xh8XhCYcAfdqaAd5OevZ9GU1OT2/f06VPk5uZi5syZsLW1RcuWLREeHo7y8vJ6h2h/bnl5eaisrISjoyO3TV5eHp06dUJWVpZQ2q5du3L/1tLSgkAgEEkjibKyMszNzbnvhoaGePLkCYB37z8/fPhQqA0A4OjoKHX5NZo0aQJbW1uhdvr7+8PNzQ0eHh6IiooSCmtv2rQpbt26hU6dOtVZdnJyMi5fvow1a9Zg5cqVIg9WPsWGDRtgY2MjsR2VlZXw9vYGYwzR0dGfrV5CCCGEEEIaGnW6vyIJCQlYsWIF1q5di9zcXOzbtw82Njbc/qCgIJw/fx7bt29HRkYGvv32W7i7uwuFKH8YfizNetGlpaUwNTWFsbExvLy8cOPGDZE0SUlJ0NPTg0AgwPfff49nz55x+7S1tSEQCLBp0yaUlZXh7du3WLt2LfT09NC+fftPPCtfB3l5eaHvPB4PjDGp89dMhvZ+HnGh7UpKSiIrAMTExOD8+fNwcHDAjh070KpVK1y4cKE+zQcANG/eHDY2Nhg7diymTJmCsLAwiWkNDAzw+PFjoW013w0MDIS2l5WVYfv27QgICBBbVk2H+86dO0hMTKRRbkIIIYQQ8lWhTvdX5O7duzAwMECvXr1gYmKCTp06YezYsdy+mJgY7Nq1C05OTjA3N8f06dPRrVs3xMTEcGV8GH5cV1ixQCDAxo0bsX//fmzZsgXV1dVwcHDA/fv3uTTu7u7YtGkTTpw4gSVLluD06dPo06cPqqqqALzrYB4/fhxXr16FqqoqFBUVsXz5chw5ckRoRPxLMDc3R5MmTZCSksJtq6ysRGpqKlq3bi2U9v2OalFREXJycmBlZfXJbVBTU4ORkZFQG4B3E7fVtEFXVxcAhEap09PTpa7D3t4es2bNwrlz59CmTRts3br1k9pcXV2NiooKifu7du2KM2fOCD0YSExMhEAgELnmu3btQkVFBUaOHClSTk2HOzc3F8ePH4e2tvYntZsQQgghhJB/Gi0Z9hX59ttvsXLlSrRo0QLu7u7o27cvPDw8ICcnh8zMTFRVVaFVq1ZCeSoqKoQ6Kh+GH9ela9euQmHVDg4OsLKywtq1a7Fw4UIAwLBhw7j9NjY2sLW1hbm5OZKSktCzZ08wxjBx4kTo6ekhOTkZSkpK+OOPP+Dh4YHU1FQYGhp+7Cn5ZHw+H99//z1CQkKgpaUFExMTREREoLy8XGTkdcGCBdDW1oa+vj5+/PFH6OjocDOgf6qQkBDMmzcP5ubmaNu2LWJiYpCeno74+HgAgIWFBYyNjREWFoZFixYhJycHkZGRdZabn5+PdevWwdPTE0ZGRsjOzkZubi5GjRoFAHjw4AF69uyJTZs2SQztXr16NUxMTGBpaQkAOHPmDJYtWyb0asOHhg8fjvnz5yMgIAChoaG4fv06oqKixK7vvWHDBgwYMECkQ11ZWYkhQ4bgypUrOHToEKqqqrj3wbW0tIQmaSOEEEIIIaSxok53IyMjIyMSdlwzWmhsbIzs7GwcP34ciYmJmDBhApYuXYrTp0+jtLQUsrKySEtLg6ysrFB+FRUV7t/iwo/rQ15eHvb29rh9+7bENC1atICOjg5u376Nnj174uTJkzh06BCKioq40ODff/8diYmJiIuLw8yZMz+6PZ9DeHg4qqur4evri5cvX6JDhw44evSoyIhseHg4Jk2ahNzcXLRt2xYHDx78bB2/4OBgFBcXY9q0aXjy5Alat26NAwcOoGXLlgDenfdt27bh+++/h62tLTp27Iiff/6ZW15LEmVlZdy6dQtxcXF49uwZDA0NMXHiRAQGBgJ4d29lZ2ejvLxcYhnV1dWYNWsW8vPzIScnB3NzcyxZsoQrA3g3X8Do0aO5e1ddXR3Hjh3DxIkT0b59e+jo6GDu3Lki63pnZ2fj7NmzOHbsmEi9Dx48wIEDBwC8m9fgfadOnUL37t1rPXZCCCGEEEIaAx6rz4ulpMF17twZLi4uiIiIAPBuki0DAwPMmDFD5B3a7OxsWFpaIi0tDSoqKhAIBDhz5gycnJzElh0bG4vJkycLrfVcX1VVVbC2tkbfvn2F1lx+3/3792FiYoJ9+/bB09MTBw8exIABA1BcXCz0AEAgEMDPzw+zZ8+Wqu6SkhKoq6ujuLj4k9/r9fHxgaysLLZs2fJJ5ZB35s2bh9OnT9dr6TFCCCGEEEK+ZtL2T2iku5Hp0aMHYmNj4eHhAQ0NDcydO5cbuY6NjUVVVRU6d+4MZWVlbNmyBUpKSjA1NYW2tjZGjBiBUaNGITIyEvb29vj7779x4sQJ2Nraol+/fh/VngULFqBLly6wsLDAixcvsHTpUty5c4db2qm0tBTz58/H4MGDYWBggLy8PMyYMYNb6xp4F6KuqakJPz8/zJ07F0pKSli/fj3y8/M/ul0f6+3bt8jJycH58+eFRmrJp/nzzz+xatWqL90MQgghhBBCGh2aSK2RmTVrFlxcXNC/f3/069cPAwYM4Jaa0tDQwPr16+Ho6AhbW1scP34cBw8e5N6FjYmJwahRozBt2jQIBAIMGDAAqamp3JrMH6OoqAhjx46FlZUV+vbti5KSEpw7d46b4EtWVhYZGRnw9PREq1atEBAQgPbt2yM5ORkKCgoAAB0dHRw5cgSlpaXo0aMHOnTogLNnz2L//v2ws7P7xDNWP9evX0eHDh1gbW2N8ePHf5Yy+/TpAxUVFbGfX3755bPU0dhdunRJqmXHCCGEEEII+a+h8HLy1fic4eWf04MHD/Dq1Sux+7S0tKClpfUPt4gQQgghhBDS0Ci8nJB/SNOmTb90EwghhBBCCCGNFIWX/8dJCotWUVFBcnLyl24eIYQQQgghhHzVaKT7Py49PV3iPhrBJYQQQgghhJBPQ53u/zgLC4sv3QRCCCGEEEII+dei8HJCCCGEEEIIIaSBUKebEEIIIYQQQghpINTpJoQQQgghhBBCGgh1ugkhhBBCCCGEkAZCnW5CCCGEEEIIIaSBUKebEEIIIYQQQghpINTpJoQQQgghhBBCGgh1ugkhhBBCCCGEkAZCnW5CCCGEEEIIIaSBUKebEEIIIYQQQghpINTpJoQQQgghhBBCGgh1ugkRo6CgADweD+np6QCApKQk8Hg8vHjx4ou262sVFhYGfX198Hg87Nu3T+w2f39/DBgwQKryPrw+hBBCCCGENFbU6SaENKisrCzMnz8fa9euRWFhIfr06SN2W1RUFGJjY6Uq09jYGIWFhWjTpk3DNp6ItW7dOnTv3h1qamoSH0Z5enrCxMQEioqKMDQ0hK+vLx4+fFhruYGBgTA3N4eSkhJ0dXXh5eWFW7du1Zqne/fu4PF4CA8PF9nXr18/8Hg8hIWF1efwCCGEEEI+q6+2000jj1+3lJQU2NjYQF5eXurRTSJZZWXll26CRHl5eQAALy8vGBgYQEFBQew2dXV1aGhoSFWmrKwsDAwMICcn11DN/qq9efOmQcsvLy+Hu7s7Zs+eLTHNN998g507dyI7OxsJCQnIy8vDkCFDai23ffv2iImJQVZWFo4ePQrGGFxdXVFVVVVrPmNjY5EHNg8ePMCJEydgaGgo9XERQgghhDSERtXprk94qTQ+7JjXfOfxeJCRkYG6ujrs7e0xY8YMFBYW1lrWs2fP4O7uDiMjIygoKMDY2BhBQUEoKSkRan9N+e9/rK2tuTRVVVWYM2cOmjdvDiUlJZibm2PhwoVgjImtd/z48eDxeFi5cqXQdjMzM5F6PhzpycjIgJOTExQVFWFsbIyIiAih/bGxsSJlKCoqCqUJCwuDpaUl+Hw+NDU10atXL1y8eLHWcyWNqVOnom3btsjPz5d6dPNzOnLkCLp16wYNDQ1oa2ujf//+XEdQWgkJCbC2toaCggLMzMwQGRkptL+iogKhoaEwNjaGgoICLCwssGHDhlrLrK6uRrNmzRAdHS20/erVq5CRkcGdO3cAADweD9HR0fD09ASfz8eiRYtQVVWFgIAA7t4SCASIiooSKqfmZ+yXX36Bvr4+NDQ0sGDBArx9+xYhISHQ0tJCs2bNEBMTI/V5uHfvHry9vaGhoQEtLS14eXmhoKAAwLv7x8PDAwAgIyPDjTp+uO39tr1/LiIiImBhYQEFBQWYmJhg0aJFAMSHl1+/fh19+vSBiooK9PX14evri6dPn3L7u3fvjuDgYMyYMQNaWlowMDAQGQF98eIFAgMDoa+vD0VFRbRp0waHDh1CWVkZ1NTUsHv3bqH0+/btA5/Px8uXL2s9R2/evEFQUBAMDQ2hqKgIU1NTLF68uM56a9R1r5mZmWHhwoUYNWoU1NTUMG7cOADA2bNn4eTkBCUlJRgbGyM4OBhlZWW1tlUakydPxsyZM9GlSxeJaaZMmYIuXbrA1NQUDg4OmDlzJi5cuFDrA6Jx48bB2dkZZmZmaNeuHX7++Wfcu3ePu58k6d+/P54+fYqUlBRuW1xcHFxdXaGnp1fv4yOEEEII+ZwaVaf7n5KdnY2HDx8iNTUVoaGhOH78ONq0aYPMzEyJeWRkZODl5YUDBw4gJycHsbGxOH78OMaPH8+liYqKQmFhIfe5d+8etLS08O2333JplixZgujoaKxatQpZWVlYsmQJIiIi8Ntvv4nUuXfvXly4cAFGRkZi27RgwQKh+n744QduX0lJCVxdXWFqaoq0tDQsXboUYWFhWLdunVAZampqQmXUdOpqtGrVCqtWrUJmZibOnj0LMzMzuLq64u+//679JNchLy8PPXr0QLNmzaQe3fycysrKMHXqVFy+fBknTpyAjIwMBg4ciOrqaqnyp6WlwdvbG8OGDUNmZibCwsIwZ84coQcIo0aNwrZt2/Drr78iKysLa9euhYqKSq3lysjIwMfHB1u3bhXaHh8fD0dHR5iamnLbwsLCMHDgQGRmZmLMmDFch33Xrl24efMm5s6di9mzZ2Pnzp1CZZ08eRIPHz7EmTNnsHz5csybNw/9+/eHpqYmLl68iPHjxyMwMBD379+v8zxUVlbCzc0NqqqqSE5ORkpKClRUVODu7o43b95g+vTpXAe+5h4Tt02cWbNmITw8HHPmzMHNmzexdetW6Ovri0374sUL9OjRA/b29rh8+TKOHDmCx48fw9vbWyhdXFwc+Hw+Ll68iIiICCxYsACJiYkA3nXy+/Tpg5SUFGzZsgU3b95EeHg4ZGVlwefzMWzYMJGHETExMRgyZAhUVVVrPU+//vorDhw4wI38xsfHw8zMrM56AenuNQBYtmwZ7OzscPXqVcyZMwd5eXlwd3fH4MGDkZGRgR07duDs2bMICgri8oSFhXHtaEjPnz9HfHw8HBwcIC8vL1WesrIyxMTEoHnz5jA2Nq41bZMmTTBixAih6xMbG4sxY8Z8UrsJIYQQQj4L1oj4+fkxLy8vxhhjr1+/Zj/88APT1dVlCgoKzNHRkV26dIlLe+rUKQaAHTp0iNnY2DAFBQXWuXNnlpmZKZKmqKhI7Pca5eXlTCAQMEdHx3q1NyoqijVr1kzi/r179zIej8cKCgq4bf369WNjxowRSjdo0CA2YsQIoW33799nTZs2ZdevX2empqZsxYoVQvvFbXvf77//zjQ1NVlFRQW3LTQ0lAkEAu57TEwMU1dXr+UIRRUXFzMA7Pjx4xLT1Hbt8vPzGQChT0xMTL3qLi4urlebpfH3338zANz9U9POq1evMsZE753hw4ez3r17C5UREhLCWrduzRhjLDs7mwFgiYmJ9W7L1atXGY/HY3fu3GGMMVZVVcWaNm3KoqOjuTQA2OTJk+ssa+LEiWzw4MHcdz8/P2Zqasqqqqq4bQKBgDk5OXHf3759y/h8Ptu2bVud5W/evJkJBAJWXV3NbauoqGBKSkrs6NGjjLF3Pwcf/qoRt+39n/+SkhKmoKDA1q9fL7beD6/PwoULmaurq1Cae/fuMQAsOzubMcaYi4sL69atm1Cajh07stDQUMYYY0ePHmUyMjJc+g9dvHiRycrKsocPHzLGGHv8+DGTk5NjSUlJYtO/74cffmA9evQQOk816qq3rnuNsXe/DwYMGCCUJiAggI0bN05oW3JyMpORkWGvXr1ijDH222+/sR49etTZfkkk/U6tMWPGDKasrMwAsC5durCnT5/WWebq1asZn89nAJhAIGC3b9+uNb2LiwubNGkSS09PZ6qqqqy0tJSdPn2a6enpscrKSmZnZ8fmzZv3EUdHCCGEEFI7afsnjXake8aMGUhISEBcXByuXLkCCwsLuLm54fnz50LpQkJCEBkZidTUVOjq6sLDw6Pe77cqKSlh/PjxSElJwZMnT6TK8/DhQ+zZswcuLi4S02zYsAG9evUSGp10cHDAiRMnkJOTAwC4du0azp49iz59+nBpqqur4evri5CQEKHQ9A+Fh4dDW1sb9vb2WLp0Kd6+fcvtO3/+PJydndGkSRNum5ubG7Kzs1FUVMRtKy0thampKYyNjeHl5YUbN25IrO/NmzdYt24d1NXVYWdnJzFdbdeuZgIsNTU1rFy5EoWFhRg6dKjEshpKbm4ufHx80KJFC6ipqXGjfXfv3pUqf1ZWFhwdHYW2OTo6Ijc3F1VVVUhPT4esrGyt94ckbdu2hZWVFTfaffr0aTx58kQoYgIAOnToIJJ39erVaN++PXR1daGiooJ169aJHJO1tTVkZP7vR19fXx82Njbcd1lZWWhra0v1s3Dt2jXcvn0bqqqqUFFRgYqKCrS0tPD69et6h+u/LysrCxUVFejZs6dU6a9du4ZTp05xbVBRUYGlpSUACLXD1tZWKJ+hoSF3nOnp6WjWrBlatWolto5OnTrB2toacXFxAIAtW7bA1NQUzs7OdbbP398f6enpEAgECA4OxrFjx7h9ddVb171W48P74dq1a4iNjRU6J25ubqiurkZ+fj4AICgoCCdOnJDY7l9++UUov7Q/HzVCQkJw9epVHDt2DLKyshg1apTEV2lqjBgxAlevXsXp06fRqlUreHt74/Xr13XWZWdnh5YtW2L37t3YuHEjfH196Z1/QgghhDQKjfIvkrKyMkRHRyM2NpbrjK5fvx6JiYnYsGEDQkJCuLTz5s1D7969AbwLHW3WrBn27t0rElZal5o/0AsKCmp9B9DHxwf79+/Hq1ev4OHhgT/++ENsuocPH+LPP/8UCROeOXMmSkpKYGlpCVlZWVRVVWHRokUYMWIEl2bJkiWQk5NDcHCwxHYEBwejXbt20NLSwrlz5zBr1iwUFhZi+fLlAIBHjx6hefPmQnlqQnMfPXoETU1NCAQCbNy4Eba2tiguLsayZcvg4OCAGzduoFmzZly+Q4cOYdiwYSgvL4ehoSESExOho6Mjtl3SXDsDAwPweDyoq6vDwMBA4jE2JA8PD5iammL9+vUwMjJCdXU12rRp89kmoFJSUvqk/CNGjMDWrVsxc+ZMbN26Fe7u7tDW1hZKw+fzhb5v374d06dPR2RkJLp27QpVVVUsXbpU5B38D8N7eTye2G3ShNqXlpaiffv2iI+PF9mnq6tbZ35J6nv+SktL4eHhgSVLlojse38irdqOU5o6v/vuO6xevRozZ85ETEwMRo8ezb2TXpt27dohPz8ff/75J44fPw5vb2/06tULu3fv/uR7pcaH90NpaSkCAwPF/h4xMTGRqszx48cL/S6V9KqLJDo6OtDR0UGrVq1gZWUFY2NjXLhwAV27dpWYR11dHerq6mjZsiW6dOkCTU1N7N27Fz4+PnXWN2bMGKxevRo3b97EpUuX6tVWQgghhJCG0ig73Xl5eaisrBQa3ZGXl0enTp2QlZUllPb9P960tLQgEAhE0kijZvSlrj+gV6xYgXnz5iEnJwezZs3C1KlT8fvvv4uki4uLg4aGhsjEcDt37kR8fDy2bt0Ka2trpKenY/LkyTAyMoKfnx/S0tIQFRWFK1eu1NqWqVOncv+2tbVFkyZNEBgYiMWLF0NBQUGqY+7atavQ+XNwcICVlRXWrl2LhQsXctu/+eYbpKen4+nTp1i/fj28vb1x8eJFsQ8n6nPtvpRnz54hOzsb69evh5OTE4B3E07Vh5WVldCkTcC7GdlbtWoFWVlZ2NjYoLq6GqdPn0avXr3q3cbhw4fjp59+QlpaGnbv3o01a9bUmSclJQUODg6YMGECt+1TRpul0a5dO+zYsQN6enpQU1P7bOW2bNkSSkpKOHHiBL777jup2pGQkAAzM7OPHt20tbXF/fv3kZOTI3HUeeTIkZgxYwZ+/fVX3Lx5E35+flKXr6amhqFDh2Lo0KEYMmQI3N3d8fz58zrrretek6Rdu3a4efMmLCwspG7jh7S0tKClpfXR+d9X83CjoqJC6jyMMTDGpM4zfPhwTJ8+HXZ2dmjduvVHtZMQQggh5HNrtOHl/7SaDmFdkwoZGBjA0tISnp6eWLt2LaKjo0UmgmKMceGN74d3A+/CLWfOnIlhw4bBxsYGvr6+mDJlCjeTcXJyMp48eQITExPIyclBTk4Od+7cwbRp02ptW+fOnfH27Vtull8DAwM8fvxYKE3Nd0mjy/Ly8rC3t8ft27eFtvP5fFhYWKBLly7YsGED5OTk6pyFuzHT1NSEtrY21q1bh9u3b+PkyZNCDzGkMW3aNJw4cQILFy5ETk4O4uLisGrVKkyfPh3Au/vIz88PY8aMwb59+5Cfn4+kpCSRSc0kMTMzg4ODAwICAlBVVQVPT88687Rs2RKXL1/G0aNHkZOTgzlz5iA1NbVex1VfI0aMgI6ODry8vJCcnMwdZ3BwsFQTsUmiqKiI0NBQzJgxA5s2bUJeXh4uXLgg8b6bOHEinj9/Dh8fH6SmpiIvLw9Hjx7F6NGj61xuqoaLiwucnZ0xePBgJCYmciPTR44c4dJoampi0KBBCAkJgaurq1BESG2WL1+Obdu24datW8jJycGuXbtgYGAADQ2NOuut616TJDQ0FOfOnUNQUBDS09ORm5uL/fv3C02ktmrVKqlD+N/36NEjpKenc78rMjMzkZ6ezr3+c/HiRaxatQrp6em4c+cOTp48CR8fH5ibm3MP+h48eABLS0tuRPqvv/7C4sWLkZaWhrt37+LcuXP49ttvoaSkhL59+0rVLk1NTRQWFtYaMk8IIYQQ8k9rlJ1uc3NzNGnSRGh0p7KyEqmpqSKjFxcuXOD+XVRUhJycHFhZWdWrvlevXmHdunVwdnauV0ispJGb06dP4/bt2wgICBDJU15eLvQ+LfDuHdqasnx9fZGRkYH09HTuY2RkhJCQEBw9elRiW9LT0yEjI8ONPnft2hVnzpwRer89MTERAoEAmpqaYsuoqqpCZmZmnevaVldXSxx5qs+1+1JkZGSwfft2pKWloU2bNpgyZQqWLl1arzLatWuHnTt3Yvv27WjTpg3mzp2LBQsWwN/fn0sTHR2NIUOGYMKECbC0tMTYsWPrtVzTiBEjcO3aNQwcOFCqEOTAwEAMGjQIQ4cORefOnfHs2TOhUe+GoKysjDNnzsDExASDBg2ClZUVAgIC8Pr1608e+Z4zZw6mTZuGuXPnwsrKCkOHDpX4nrmRkRFSUlJQVVUFV1dX2NjYYPLkydDQ0BD5eatNQkICOnbsCB8fH7Ru3RozZswQ6bQHBATgzZs39ZoZW1VVFREREejQoQM6duyIgoICHD58mGtbbfVKc6+JY2tri9OnTyMnJwdOTk6wt7fH3LlzhULEnz59+lHREGvWrIG9vT3Gjh0LAHB2doa9vT0OHDgA4N19sWfPHvTs2RMCgQABAQFce2oicSorK5GdnY3y8nIA7x60JCcno2/fvrCwsMDQoUOhqqqKc+fO1WvZLw0NDZFQe0IIIYSQL6rh53ST3vuzF0+aNIkZGRmxP//8k924cYP5+fkxTU1N9vz5c8bY/82aa21tzY4fP84yMzOZp6cnMzEx4WbsljR7eXZ2NissLGQ5OTls27ZtzN7enmlra7MbN25IbNv//vc/tnHjRpaZmcny8/PZoUOHmJWVldgZz0eOHMk6d+4s8RibNm3KDh06xPLz89mePXuYjo4OmzFjhsS6P5yp/Ny5c2zFihUsPT2d5eXlsS1btjBdXV02atQoLs2LFy+Yvr4+8/X1ZdevX2fbt29nysrKbO3atVya+fPns6NHj7K8vDyWlpbGhg0bxhQVFbnzUFpaymbNmsXOnz/PCgoK2OXLl9no0aOZgoICu379usT21nXtGGNMXV1d6lnLazTk7OWESGvTpk1MW1tbaGUAQgghhBDy3yNt/6RRvdNdXV3NvY8ZHh7OzeL98uVLdOjQAUePHhUZpQ0PD8ekSZOQm5uLtm3b4uDBgyIh3R8SCATg8XhQUVFBixYt4OrqiqlTp9Y6qZeSkhLWr1+PKVOmoKKiAsbGxhg0aBBmzpwplK64uBgJCQmIiooSW85vv/2GOXPmYMKECXjy5AmMjIwQGBiIuXPnSnOKAAAKCgrYvn07wsLCUFFRgebNm2PKlClCIdLq6uo4duwYJk6ciPbt20NHRwdz587FuHHjuDRFRUUYO3YsN7Fa+/btce7cOW5EWlZWFrdu3UJcXByePn0KbW1tdOzYEcnJyXXOqi7NtSPka1JeXo7CwkKEh4cjMDCwzt8zhBBCCCGEAACPsTrWb/kHubu7w8LCAqtWrfrSTSGNUElJCdTV1VFcXPxZJ+36p40fPx5btmwRu2/kyJFSTZr2T/nll1/wyy+/iN3n5OSEP//88x9u0ZcTFhaGRYsWwdnZGfv374eKigq3j84TIYQQQsh/j7T9k0bR6S4qKkJKSgqGDBmC7du3i8z4Tf6bKioqhN4dLykpgbGx8Vff6X7y5AlKSkrE7lNTU6vX+6sN7fnz59zkWB9SUlJC06ZN/+EWNU50ngghhBBC/nu+qk73wIEDkZqaCj8/P/z8889SrXtL/v3CwsIwf/58ke1fe6ebEEIIIYQQ8vX7qjrdhIjTkCPd/v7+ePHiBfbt21dn2qSkJHzzzTcoKiqChoZGveuKjY3F5MmT8eLFi3rnJYQQQgghhDRO0na6G+WSYYQA7yaMU1NTE/p8LlFRUYiNjf1s5f2bnT17Fo6OjtDW1oaSkhIsLS2xYsWKOvNlZGTAyckJioqKMDY2RkREhND+7t27g8fjiXz69esH4N2SUqGhobCxsQGfz4eRkRFGjRqFhw8fNshxEkIIIYQQ0hAa1ezlhPxT1NXVv3QTGlxVVRV4PF691qkWh8/nIygoCLa2tuDz+Th79iwCAwPB5/OFZsN/X0lJCVxdXdGrVy+sWbMGmZmZGDNmDDQ0NLg8e/bswZs3b7g8z549g52dHb799lsA72YLv3LlCubMmQM7OzsUFRVh0qRJ8PT0xOXLlz/pmAghhBBCCPmn0Eg3+U/y9/fnJuyrqKhAcHAw9PT0oKioiG7duiE1NVUkT0pKCmxtbaGoqIguXbrg+vXr9arz6NGjsLKygoqKCtzd3VFYWMjtq66uxoIFC9CsWTMoKCigbdu2OHLkCLc/KSkJPB5PKEQ9PT0dPB4PBQUFAN6FsWtoaODAgQNo3bo1FBQUcPfuXSQlJaFTp07g8/nQ0NCAo6Mj7ty5I3W77e3t4ePjA2tra5iZmWHkyJFwc3NDcnKyxDzx8fF48+YNNm7cCGtrawwbNgzBwcFYvnw5l0ZLSwsGBgbcJzExEcrKylynW11dHYmJifD29oZAIECXLl2watUqpKWl4e7du1K3nxBCCCGEkC+JOt2kVrGxsSLhv4qKikJp/P39RdK4u7sLpcnJyYGXlxd0dHSgpqaGbt264dSpU//koUg0Y8YMJCQkIC4uDleuXIGFhQXc3NxEZqMOCQlBZGQkUlNToaurCw8PD1RWVkpVR3l5OZYtW4bNmzfjzJkzuHv3LqZPn87tj4qKQmRkJJYtW4aMjAy4ubnB09MTubm59TqW8vJyLFmyBH/88Qdu3LgBLS0tDBgwAC4uLsjIyMD58+cxbtw4brLCgoIC8Hg8JCUlSV3H1atXce7cObi4uEhMc/78eTg7OwutZe3m5obs7GwUFRWJzbNhwwYMGzYMfD5fYrnFxcXg8Xgf9W49IYQQQgghXwJ1uv/DqqqqUF1dXWc6NTU1FBYWch9xo6Q1I7c1n23btgnt79+/P96+fYuTJ08iLS0NdnZ26N+/Px49evTZjudjlJWVITo6GkuXLkWfPn3QunVrrF+/HkpKStiwYYNQ2nnz5qF3796wsbFBXFwcHj9+jL1790pVT2VlJdasWYMOHTqgXbt2CAoKwokTJ7j9y5YtQ2hoKIYNGwaBQIAlS5agbdu2WLlyZb2Op7KyEr///jscHBwgEAjw9u1bFBcXo3///jA3N4eVlRX8/PxgYmICAJCXl4dAIICysnKdZdeMwnfo0AETJ07Ed999JzHto0ePoK+vL7St5ru4a37p0iVcv3691jJfv36N0NBQ+Pj40Oz1hBBCCCHkq0Gd7kbGzMxMpKPVtm1bhIWFgTGGsLAwmJiYQEFBAUZGRggODubSVVRUYPr06WjatCn4fD46d+4sNIIpKfy4LjweTygM+MPOFPBu0rP302hqanL7nj59itzcXMycORO2trZo2bIlwsPDUV5eXu8Q7c8tLy8PlZWVcHR05LbJy8ujU6dOyMrKEkrbtWtX7t9aWloQCAQiaSRRVlaGubk5993Q0BBPnjwB8O7954cPHwq1AQAcHR2lLr9GkyZNYGtrK9ROf39/uLm5wcPDA1FRUUJh7U2bNsWtW7fQqVOnOstOTk7G5cuXsWbNGqxcuVLkwcqn2LBhA2xsbCS2o7KyEt7e3mCMITo6+rPVSwghhBBCSEOjTvdXJCEhAStWrMDatWuRm5uLffv2wcbGhtsfFBSE8+fPY/v27cjIyMC3334Ld3d3oRDlD8OP9fT06qy3tLQUpqamMDY2hpeXF27cuCGSJikpCXp6ehAIBPj+++/x7Nkzbp+2tjYEAgE2bdqEsrIyvH37FmvXroWenh7at2//iWfl6yAvLy/0ncfjoT6r9dVMhvZ+HnGh7UpKSiLr3MfExOD8+fNwcHDAjh070KpVK1y4cKE+zQcANG/eHDY2Nhg7diymTJmCsLAwiWkNDAzw+PFjoW013w0MDIS2l5WVYfv27QgICBBbVk2H+86dO0hMTKRRbkIIIYQQ8lWhTvdX5O7duzAwMECvXr1gYmKCTp06YezYsdy+mJgY7Nq1C05OTjA3N8f06dPRrVs3xMTEcGV8GH5cV1ixQCDAxo0bsX//fmzZsgXV1dVwcHDA/fv3uTTu7u7YtGkTTpw4gSVLluD06dPo06cPqqqqALzrYB4/fhxXr16FqqoqFBUVsXz5chw5ckRoRPxLMDc3R5MmTZCSksJtq6ysRGpqKlq3bi2U9v2OalFREXJycmBlZfXJbVBTU4ORkZFQG4B3E7fVtEFXVxcAhEap09PTpa7D3t4es2bNwrlz59CmTRts3br1k9pcXV0ttIb6h7p27YozZ84IPRhITEyEQCAQuea7du1CRUUFRo4cKVJOTYc7NzcXx48fh7a29ie1mxBCCCGEkH8aLRn2Ffn222+xcuVKtGjRAu7u7ujbty88PDwgJyeHzMxMVFVVoVWrVkJ5KioqhDoqH4Yf16Vr165CYdUODg6wsrLC2rVrsXDhQgDAsGHDuP02NjawtbWFubk5kpKS0LNnTzDGMHHiROjp6SE5ORlKSkr4448/4OHhgdTUVBgaGn7sKflkfD4f33//PUJCQqClpQUTExNERESgvLxcZOR1wYIF0NbWhr6+Pn788Ufo6OhwM6B/qpCQEMybNw/m5uZo27YtYmJikJ6ejvj4eACAhYUFjI2NERYWhkWLFiEnJweRkZF1lpufn49169bB09MTRkZGyM7ORm5uLkaNGgUAePDgAXr27IlNmzZJDO1evXo1TExMYGlpCQA4c+YMli1bJvRqw4eGDx+O+fPnIyAgAKGhobh+/TqioqLEru+9YcMGDBgwQKRDXVlZiSFDhuDKlSs4dOgQqqqquPfBtbS0hCZpI4QQQgghpLGiTncjIyMjIxJ2XDNaaGxsjOzsbBw/fhyJiYmYMGECli5ditOnT6O0tBSysrJIS0uDrKysUH4VFRXu3+LCj+tDXl4e9vb2uH37tsQ0LVq0gI6ODm7fvo2ePXvi5MmTOHToEIqKirjQ4N9//x2JiYmIi4vDzJkzP7o9n0N4eDiqq6vh6+uLly9fokOHDjh69KjIiGx4eDgmTZqE3NxctG3bFgcPHvxsHb/g4GAUFxdj2rRpePLkCVq3bo0DBw6gZcuWAN6d923btuH777+Hra0tOnbsiJ9//plbXksSZWVl3Lp1C3FxcXj27BkMDQ0xceJEBAYGAnh3b2VnZ6O8vFxiGdXV1Zg1axby8/MhJycHc3NzLFmyhCsDeDdfwOjRo7l7V11dHceOHcPEiRPRvn176OjoYO7cuSLremdnZ+Ps2bM4duyYSL0PHjzAgQMHALyb1+B9p06dQvfu3Ws9dkIIIYQQQhoDHqvPi6WkwXXu3BkuLi6IiIgA8G6SLQMDA8yYMUPkHdrs7GxYWloiLS0NKioqEAgEOHPmDJycnMSWHRsbi8mTJwut9VxfVVVVsLa2Rt++fYXWXH7f/fv3YWJign379sHT0xMHDx7EgAEDUFxcLPQAQCAQwM/PD7Nnz5aq7pKSEqirq6O4uPiT3+v18fGBrKwstmzZ8knlkHfmzZuH06dP12vpMUIIIYQQQr5m0vZPaKS7kenRowdiY2Ph4eEBDQ0NzJ07lxu5jo2NRVVVFTp37gxlZWVs2bIFSkpKMDU1hba2NkaMGIFRo0YhMjIS9vb2+Pvvv3HixAnY2tqiX79+H9WeBQsWoEuXLrCwsMCLFy+wdOlS3Llzh1vaqbS0FPPnz8fgwYNhYGCAvLw8zJgxg1vrGngXoq6pqQk/Pz/MnTsXSkpKWL9+PfLz8z+6XR/r7du3yMnJwfnz54VGasmn+fPPP7Fq1aov3QxCCCGEEEIaHZpIrZGZNWsWXFxc0L9/f/Tr1w8DBgzglprS0NDA+vXr4ejoCFtbWxw/fhwHDx7k3oWNiYnBqFGjMG3aNAgEAgwYMACpqancmswfo6ioCGPHjoWVlRX69u2LkpISnDt3jpvgS1ZWFhkZGfD09ESrVq0QEBCA9u3bIzk5GQoKCgAAHR0dHDlyBKWlpejRowc6dOiAs2fPYv/+/bCzs/vEM1Y/169fR4cOHWBtbY3x48d/ljL79OkDFRUVsZ9ffvnls9TR2F26dEmqZccIIYQQQgj5r6HwcvLV+Jzh5Z/TgwcP8OrVK7H7tLS0oKWl9Q+3iBBCCCGEENLQKLyckH9I06ZNv3QTCCGEEEIIIY0UhZf/x0kKi1ZRUUFycvKXbh4hhBBCCCGEfNVopPs/Lj09XeI+GsElhBBCCCGEkE9Dne7/OAsLiy/dBEIIIYQQQgj516LwckIIIYQQQgghpIFQp5sQQgghhBBCCGkg1OkmhBBCCCGEEEIaCHW6CSGEEEIIIYSQBkKdbkIIIYQQQgghpIFQp5sQQgghhBBCCGkg1OkmhBBCCCGEEEIaCK3TTb46zj9tg6yC0pduBvmXSls66ks3gRBCCCGE/IvQSDchhBBCCCGEENJAqNNNCCGEEEIIIYQ0EOp0E0LIP6ygoAA8Hg/p6ekAgKSkJPB4PLx48eKLtutrFRYWBn19ffB4POzbt0/sNn9/fwwYMECq8j68PoQQQgghn4I63YQQQr5aWVlZmD9/PtauXYvCwkL06dNH7LaoqCjExsZKVaaxsTEKCwvRpk2bhm08ESsvLw8DBw6Erq4u1NTU4O3tjcePH9eaZ/HixejYsSNUVVWhp6eHAQMGIDs7WyjNo0eP4OvrCwMDA/D5fLRr1w4JCQm1luvv7w8ej4fx48eL7Js4cSJ4PB78/f3rfYyEEEL+W6jTTQghpFaVlZVfugkS5eXlAQC8vLxgYGAABQUFsdvU1dWhoaEhVZmysrIwMDCAnBzNNSrOmzdvGqzssrIyuLq6gsfj4eTJk0hJScGbN2/g4eGB6upqiflOnz6NiRMn4sKFC0hMTERlZSVcXV1RVlbGpRk1ahSys7Nx4MABZGZmYtCgQfD29sbVq1drbZOxsTG2b9+OV69ecdtev36NrVu3wsTE5NMPmhBCyL/eV9vppnDMr1tKSgpsbGwgLy8vdcgnIV+LI0eOoFu3btDQ0IC2tjb69+/PdQSllZCQAGtraygoKMDMzAyRkZFC+ysqKhAaGgpjY2MoKCjAwsICGzZsqLXM6upqNGvWDNHR0ULbr169ChkZGdy5cwcAwOPxEB0dDU9PT/D5fCxatAhVVVUICAhA8+bNoaSkBIFAgKioKKFyakK4f/nlF+jr60NDQwMLFizA27dvERISAi0tLTRr1gwxMTFSn4d79+7B29sbGhoa0NLSgpeXFwoKCgC8CyH38PAAAMjIyIDH44nd9n7b3j8XERERsLCwgIKCAkxMTLBo0SIA4sPLr1+/jj59+kBFRQX6+vrw9fXF06dPuf3du3dHcHAwZsyYAS0tLRgYGCAsLEzoWF68eIHAwEDo6+tDUVERbdq0waFDh1BWVgY1NTXs3r1bKP2+ffvA5/Px8uXLWs/RmzdvEBQUBENDQygqKsLU1BSLFy+us94add1rZmZmWLhwIUaNGgU1NTWMGzcOAHD27Fk4OTlBSUkJxsbGCA4OFurkfoyUlBQUFBQgNjYWNjY2sLGxQVxcHC5fvoyTJ09KzHfkyBH4+/vD2toadnZ2iI2Nxd27d5GWlsalOXfuHH744Qd06tQJLVq0wE8//QQNDQ2hNOK0a9cOxsbG2LNnD7dtz549MDExgb29/ScdLyGEkP+GRtXprs87d9L4sGNe853H40FGRgbq6uqwt7fHjBkzUFhYWGtZz549g7u7O4yMjKCgoABjY2MEBQWhpKREqP015b//sba25tKYmZmJTTNx4kQuzbp169C9e3eoqalJfLDw/PlzjBgxAmpqatDQ0EBAQABKS0uF0mRkZMDJyQmKioowNjZGRESESDm7du2CpaUlFBUVYWNjg8OHDwvtDwsLg6WlJfh8PjQ1NdGrVy9cvHix1nMljalTp6Jt27bIz8+XOuSTkK9FWVkZpk6disuXL+PEiROQkZHBwIEDax2pe19aWhq8vb0xbNgwZGZmIiwsDHPmzBH6WRk1ahS2bduGX3/9FVlZWVi7di1UVFRqLVdGRgY+Pj7YunWr0Pb4+Hg4OjrC1NSU2xYWFoaBAwciMzMTY8aM4Trsu3btws2bNzF37lzMnj0bO3fuFCrr5MmTePjwIc6cOYPly5dj3rx56N+/PzQ1NXHx4kWMHz8egYGBuH//fp3nobKyEm5ublBVVUVycjJSUlKgoqICd3d3vHnzBtOnT+c68IWFhSgsLBS7TZxZs2YhPDwcc+bMwc2bN7F161bo6+uLTfvixQv06NED9vb2uHz5Mo4cOYLHjx/D29tbKF1cXBz4fD4uXryIiIgILFiwAImJiQDedfL79OmDlJQUbNmyBTdv3kR4eDhkZWXB5/MxbNgwkYcRMTExGDJkCFRVVWs9T7/++isOHDiAnTt3Ijs7G/Hx8TAzM6uzXkC6ew0Ali1bBjs7O1y9ehVz5sxBXl4e3N3dMXjwYGRkZGDHjh04e/YsgoKCuDxhYWFcO6RVUVEBHo8HBQUFbpuioiJkZGRw9uxZqcspLi4GAGhpaXHbHBwcsGPHDjx//hzV1dXYvn07Xr9+je7du9dZ3pgxY4Suz8aNGzF69Gip20MIIeS/7T8ZO5ednQ01NTWUlJTgypUriIiIwIYNG5CUlAQbGxuxeWRkZODl5YWff/4Zurq6uH37NiZOnIjnz59zf8BGRUUhPDycy/P27VvY2dnh22+/5balpqaiqqqK+379+nX07t1bKE15eTnc3d3h7u6OWbNmiW3PiBEjUFhYyIXRjR49GuPGjePaUlJSAldXV/Tq1Qtr1qzh/nDW0NDgRinOnTsHHx8fLF68GP3798fWrVsxYMAAXLlyhXuXsVWrVli1ahVatGiBV69eYcWKFXB1dcXt27ehq6v7MacfwLuQ0PHjx6NZs2YfXQYhjdXgwYOFvm/cuBG6urq4efOmVO8JL1++HD179sScOXMAvPs5vHnzJpYuXQp/f3/k5ORg586dSExMRK9evQAALVq0kKptI0aMQGRkJO7evQsTExOu8/HTTz8JpRs+fLhIp2L+/Pncv5s3b47z589j586dQp1PLS0t/Prrr5CRkYFAIEBERATKy8sxe/ZsAP/X2T179iyGDRtWa1t37NiB6upq/PHHH9yIdUxMDDQ0NJCUlARXV1cuZNzAwIDLJ27b+16+fImoqCisWrUKfn5+AABzc3N069ZNbPpVq1bB3t4ev/zyC7dt48aNMDY2Rk5ODlq1agUAsLW1xbx58wAALVu2xKpVq3DixAn07t0bx48fx6VLl5CVlcWlf/+afffdd3BwcEBhYSEMDQ3x5MkTHD58GMePH6/1HAHA3bt30bJlS3Tr1g08Hk/o4Uld9dZ1r9Xo0aMHpk2bJtTeESNGYPLkydzx/vrrr3BxcUF0dDQUFRWho6MDc3PzOtv/vi5duoDP5yM0NBS//PILGGOYOXMmqqqq6nw4XqO6uhqTJ0+Go6Oj0M/bzp07MXToUGhra0NOTg7KysrYu3cvLCws6ixz5MiRmDVrFhcNkpKSgu3btyMpKalex0cIIeS/qVGNdL+voqICwcHB0NPTg6KiIrp164bU1FSRdCkpKbC1tYWioiK6dOmC69ev11m2np4eDAwM0KpVKwwbNgwpKSnQ1dXF999/LzGPpqYmvv/+e3To0AGmpqbo2bMnJkyYgOTkZC6Nuro6DAwMuM/ly5dRVFQk9Ierrq6uUJpDhw7B3NwcLi4uXJrJkydj5syZ6NKli9i2ZGVl4ciRI/jjjz/QuXNndOvWDb/99hu2b9+Ohw8fAng3cvXmzRts3LgR1tbWGDZsGIKDg7F8+XKunKioKLi7uyMkJARWVlZYuHAh2rVrh1WrVnFphg8fjl69eqFFixawtrbG8uXLUVJSgoyMDInnqrZrVxO2+ezZM4wZMwY8Ho9Gusm/Tm5uLnx8fNCiRQuoqalxo313796VKn9WVhYcHR2Ftjk6OiI3NxdVVVVIT0+HrKys0O8NabVt2xZWVlbcA7rTp0/jyZMnQg/+AKBDhw4ieVevXo327dtDV1cXKioqWLduncgxWVtbQ0bm//7Xoq+vL/QwU1ZWFtra2njy5Emdbb127Rpu374NVVVVqKioQEVFBVpaWnj9+nW9w/Xfl5WVhYqKCvTs2VOq9NeuXcOpU6e4NqioqMDS0hIAhNpha2srlK+m8wwA6enpaNasGdfx/VCnTp1gbW2NuLg4AMCWLVtgamoKZ2fnOtvn7++P9PR0CAQCBAcH49ixY9y+uuqt616r8eH9cO3aNcTGxgqdEzc3N1RXVyM/Px8AEBQUhBMnTkhs9y+//CKU/+7du9DV1cWuXbtw8OBBqKioQF1dHS9evEC7du2E7qvaTJw4EdevX8f27duFts+ZMwcvXrzA8ePHcfnyZUydOhXe3t7IzMyss0xdXV3069cPsbGxiImJQb9+/aCjoyNVewghhJBG2+meMWMGEhISEBcXhytXrsDCwgJubm54/vy5ULqQkBBERkYiNTUVurq68PDwqPekP0pKShg/fjxSUlKk+kMQAB4+fIg9e/bU+kfvhg0b0KtXL6FRh/e9efMGW7Zs4Tqf0jp//jw0NDSE/gjq1asXZGRkuNDv8+fPw9nZGU2aNOHSuLm5ITs7G0VFRVyamlGy99OcP39eYnvXrVsHdXV12NnZSWxfbdeuZlZgNTU1rFy5EoWFhRg6dKjUx07I18DDwwPPnz/H+vXrcfHiRe7n8nNNQKWkpPRJ+UeMGMF1urdu3Qp3d3doa2sLpeHz+ULft2/fjunTpyMgIADHjh1Deno6Ro8eLXJM8vLyQt95PJ7YbdKE2peWlqJ9+/ZIT08X+uTk5GD48OFSH++H6nv+SktL4eHhIdKO3NxcoU5xbccpTZ3fffcd9xAyJiYGo0ePlur/De3atUN+fj4WLlyIV69ewdvbG0OGDJG6Xml8eD+UlpYiMDBQ6Hxcu3YNubm5Uo9ujx8/Xii/kZERAMDV1RV5eXl48uQJnj59is2bN+PBgwdSRXMEBQXh0KFDOHXqlFAkVV5eHlatWoWNGzeiZ8+esLOzw7x589ChQwesXr1aqvaOGTMGsbGxiIuLw5gxY6TKQwghhACNtNNdVlaG6OhoLF26FH369EHr1q2xfv16KCkpiUwUNG/ePPTu3ZubbOXx48fYu3dvveusGbWomaBHEh8fHygrK6Np06ZQU1PDH3/8ITbdw4cP8eeff+K7776TWNa+ffvw4sWLei838ujRI+jp6Qltk5OTg5aWFh49esSl+fD9xJrvdaWp2V/j0KFDUFFRgaKiIlasWIHExESJT/jrunY1swLzeDwuMuBz/VFISGPw7NkzZGdn46effkLPnj1hZWXFPeiSlpWVFVJSUoS2paSkoFWrVpCVlYWNjQ2qq6tx+vTpj2rj8OHDcf36daSlpWH37t0YMWJEnXlSUlLg4OCACRMmwN7eHhYWFp802iyNdu3aITc3F3p6erCwsBD6qKurf3S5LVu2hJKSUq2jsB+248aNGzAzMxNpx4edUUlsbW1x//595OTkSEwzcuRI3LlzB7/++itu3rzJhb5LQ01NDUOHDsX69euxY8cOJCQk4Pnz53XWW9e9Jkm7du1w8+ZNkfNhYWEh9LC3NlpaWkL5PpwtXkdHBxoaGjh58iSePHkCT09PiWUxxhAUFIS9e/fi5MmTaN68udD+8vJyABAZLZeVlZV6roWauQRq5hoghBBCpNUoO915eXmorKwUCnmTl5dHp06dkJWVJZS2a9eu3L+1tLQgEAhE0kiDMQYAdY4qrFixAleuXMH+/fuRl5eHqVOnik0XFxcHDQ2NWieG27BhA/r06cM93W+svvnmG6Snp+PcuXNwd3eHt7e3xIiA+lw7Qv6NNDU1oa2tjXXr1uH27ds4efKkxN8TkkybNg0nTpzAwoULkZOTg7i4OKxatQrTp08H8G5CRj8/P4wZMwb79u1Dfn4+kpKSRCY1k8TMzAwODg4ICAhAVVVVrZ2ZGi1btsTly5dx9OhR5OTkYM6cOWJf+fmcRowYAR0dHXh5eSE5OZk7zuDgYKkmYpNEUVERoaGhmDFjBjZt2oS8vDxcuHBB4uzvNfN3+Pj4IDU1FXl5eTh69ChGjx4tFIJdGxcXFzg7O2Pw4MFITExEfn4+/vzzTxw5coRLo6mpiUGDBiEkJASurq5Sz3mxfPlybNu2Dbdu3UJOTg527doFAwMDaGho1FlvXfeaJKGhoTh37hyCgoK4Uf/9+/cLTaS2atUqqUP43xcTE4MLFy4gLy8PW7ZswbfffospU6ZAIBBwaXr27Cn0KtTEiROxZcsWbN26Faqqqnj06BEePXrELfNlaWkJCwsLBAYG4tKlS8jLy0NkZCQSExOlnsBVVlYWWVlZuHnzZq0PJAghhJAPNcpO95dQ0yGsa6ZVAwMDWFpawtPTE2vXrkV0dLTI5C6MMWzcuBG+vr4Sn/jfuXMHx48fr3UkvLY2fNjpffv2LZ4/f85NHGRgYIDHjx8Lpan5XleaDycf4vP5sLCwQJcuXbBhwwbIycnVuTQRIf9VMjIy2L59O9LS0tCmTRtMmTIFS5curVcZ7dq1w86dO7F9+3a0adMGc+fOxYIFC4SiYqKjozFkyBBMmDABlpaWGDt2bL2WaxoxYgSuXbuGgQMHShVtEhgYiEGDBmHo0KHo3Lkznj17hgkTJtTruOpLWVkZZ86cgYmJCQYNGgQrKysEBATg9evXUFNT+6Sy58yZg2nTpmHu3LmwsrLC0KFDJT5MNDIyQkpKCqqqquDq6gobGxtMnjwZGhoaUr9nDLxbmqtjx47w8fFB69atMWPGDJFOe0BAAN68eVOv8GVVVVVERESgQ4cO6NixIwoKCnD48GGubbXVK829Jo6trS1Onz6NnJwcODk5wd7eHnPnzhV6iPz06dOPiobIzs7GgAEDYGVlhQULFuDHH3/EsmXLhNLk5eUJLdkWHR2N4uJidO/eHYaGhtxnx44dAN49/D18+DD3GpqtrS02bdqEuLg49O3bV+q2qampffK9Rwgh5L+Hx2qGeBsBf39/vHjxAvHx8dDS0kJMTAz33l5lZSWaN2+OyZMnY/r06UhKSsI333yDHTt2cDPnFhUVcWvAent7c2mKioq42W7f/17j1atXsLe3h76+fr3CNc+cOQMXFxfk5+cLddZr6snMzJQ4U3FYWBjWrl2Le/fuiYTUfVjOh+3NyspC69atcfnyZbRv3x4AcOzYMbi7u+P+/fswMjJCdHQ0fvzxRzx+/Jh7z3D27NnYs2cPbt26BQAYOnQoysvLcfDgQa5sBwcH2NraYs2aNRKP29zcHL6+viJr0ALvwsvrunbAu9mFV65cWa/Q+pKSknfvk/+wBrIKFJJOGkba0lFfugnkP2zz5s2YMmUKHj58KHWYNiGEEEK+jJr+SXFxca0PZRvlkmF8Ph/ff/89QkJCoKWlBRMTE27ZmYCAAKG0CxYsgLa2NvT19fHjjz9CR0enzlCxJ0+e4PXr13j58iXS0tIQERGBp0+fYs+ePRLzHD58GI8fP0bHjh2hoqKCGzduICQkBI6OjiKj4xs2bEDnzp0ldrirq6sRExMDPz8/sR3umrC427dvAwAyMzOhqqoKExMTaGlpwcrKCu7u7hg7dizWrFmDyspKBAUFYdiwYdwow/DhwzF//nwEBAQgNDQU169fR1RUFFasWMHVM2nSJLi4uCAyMhL9+vXD9u3bcfnyZaxbtw7Auw70okWL4OnpCUNDQzx9+hSrV6/GgwcPRGY6rlGfa0cIIeSd8vJyFBYWIjw8HIGBgdThJoQQQv5FGlV4eXV1NdcJDQ8Px+DBg+Hr64t27drh9u3bOHr0KDQ1NYXyhIeHY9KkSWjfvj0ePXqEgwcP1vnHikAggJGREdq3b4/w8HD06tUL169fR+vWrSXmUVJSwvr169GtWzdYWVlhypQp8PT0xKFDh4TSFRcXIyEhodYO5vHjx3H37l2J4YNr1qyBvb09xo4dCwBwdnaGvb09Dhw4wKWJj4+HpaUlevbsib59+6Jbt25cZxl4t3zZsWPHkJ+fj/bt23NhlDVrdAPvRrW3bt2KdevWwc7ODrt378a+ffu4hwWysrK4desWBg8ejFatWsHDwwPPnj1DcnIyrK2tJR6ftNeOEPL5jR8/XmgZpvc/48eP/9LNE/LhklHvf/r06fOlm/ePioiIgKWlJQwMDDBr1iyhfXSeCCGEkK9bowovd3d3h4WFhdDkKOS/q6KiAhUVFdz3kpISGBsbU3g5aVBfe3j5kydPUFJSInafmpqayMoHX9Lz589FloGsoaSkhKZNm/7DLWqc6DwRQgghjdNXFV5eVFSElJQUJCUlNbqRGPLlLF68GPPnz//SzSDkq6Knp9eoOta10dLSgpaW1pduRqNH54kQQgj5ujWK8PIxY8Zg/PjxmDZtGry8vL50c0gjMWvWLBQXF3Ofe/fufekmESI1f39/qZciSkpKAo/Hw4sXLz6qrtjYWKHJFgkhhBBCSOPRKDrde/fuxf3797Fo0aI618km/x0KCgrc8iy0TAv52kRFRSE2NvZLN+OrcPbsWTg6OkJbWxtKSkqwtLQUmvRRkoyMDDg5OUFRURHGxsaIiIgQ2t+9e3fweDyRT79+/QC8W1khNDQUNjY24PP5MDIywqhRo/Dw4cMGOU5CCCGE/Dc1ivByQgj5t1FXV//STWhwVVVV4PF49VqrWhw+n4+goCDY2tqCz+fj7NmzCAwMBJ/PF5r88X0lJSVwdXVFr169sGbNGmRmZmLMmDHQ0NDg8uzZswdv3rzh8jx79gx2dnbc6gvl5eW4cuUK5syZAzs7OxQVFWHSpEnw9PTE5cuXP+mYCCGEEEJqNIqRbkII+bd5P7y8oqICwcHB0NPTg6KiIrp164bU1FSRPCkpKbC1tYWioiK6dOmC69ev16vOo0ePwsrKCioqKnB3d0dhYSG3r7q6GgsWLECzZs2goKCAtm3b4siRI9x+cSHu6enp4PF4KCgoAPB/YewHDhxA69atoaCggLt37yIpKQmdOnUCn8+HhoYGHB0dcefOHanbbW9vDx8fH1hbW8PMzAwjR46Em5sbkpOTJeaJj4/HmzdvsHHjRlhbW2PYsGEIDg7G8uXLuTRaWlowMDDgPomJiVBWVuY63erq6khMTIS3tzcEAgG6dOmCVatWIS0tDXfv3pW6/YQQQgghtaFON6lVbGysSGimoqKiUBp/f3+RNO7u7kJpcnJy4OXlBR0dHaipqaFbt244derUP3kohHwxM2bMQEJCAuLi4nDlyhVYWFjAzc1NZEbqkJAQREZGIjU1Fbq6uvDw8EBlZaVUdZSXl2PZsmXYvHkzzpw5g7t372L69Onc/qioKERGRmLZsmXIyMiAm5sbPD09kZubW69jKS8vx5IlS/DHH3/gxo0b0NLSwoABA+Di4oKMjAycP38e48aN414VKigoAI/HQ1JSktR1XL16FefOnYOLi4vENOfPn4ezs7PQEpFubm7Izs5GUVGR2DwbNmzAsGHDwOfzJZZbXFwMHo9H78gTQggh5LOhTvd/WFVVFaqrq+tMp6amhsLCQu4jbgSrZlSt5rNt2zah/f3798fbt29x8uRJpKWlwc7ODv3798ejR48+2/EQ0hiVlZUhOjoaS5cuRZ8+fdC6dWusX78eSkpK2LBhg1DaefPmoXfv3rCxsUFcXBweP36MvXv3SlVPZWUl1qxZgw4dOqBdu3YICgrCiRMnuP3Lli1DaGgohg0bBoFAgCVLlqBt27ZYuXJlvY6nsrISv//+OxwcHCAQCPD27VsUFxejf//+MDc3h5WVFfz8/GBiYgIAkJeXh0AggLKycp1l14zCd+jQARMnTsR3330nMe2jR4+gr68vtK3mu7jfK5cuXcL169drLfP169cIDQ2Fj48PzSFBCCGEkM+GOt2NjJmZmcgfwW3btkVYWBgYYwgLC4OJiQkUFBRgZGSE4OBgLl1FRQWmT5+Opk2bgs/no3PnzkKjS5JCQ+vC4/GEQjQ//EMXeDfp2ftpNDU1uX1Pnz5Fbm4uZs6cCVtbW7Rs2RLh4eEoLy+vd/gsIV+bvLw8VFZWwtHRkdsmLy+PTp06ISsrSyht165duX9raWlBIBCIpJFEWVkZ5ubm3HdDQ0M8efIEwLv3nx8+fCjUBgBwdHSUuvwaTZo0ga2trVA7/f394ebmBg8PD0RFRQmFtTdt2hS3bt1Cp06d6iw7OTkZl/8fe3cel1P6P378dRctSqWoRIkiSSnryDoYlZHsW2Pfl7FnmbE01uzyYeySNYxh8JlhbFliSCa7SiJL+NhCRlL9/vDrfN3a7pLBzPv5eNyPh/uc61znfc596z7Xud7nuk6fZunSpSxYsCDTzbv3sWrVKpydnbONIyUlhfbt25Oens6SJUsKbL9CCCGEENLo/oxs27aN+fPns2zZMmJiYtixYwfOzs7K+sGDB3PixAlCQkI4d+4c7dq1w9PTUy199N3UUE3m833+/DllypTB2toaHx8fLl68mKlMaGgo5ubmODg4MGDAAB4+fKisMzMzw8HBgbVr15KUlMTr169ZtmwZ5ubmVKtW7T3PihAC3jTk36ZSqUhPT9d4+4zB0N7eJqvUdn19/UyzTAQFBXHixAnc3d3ZvHkzFSpU4I8//shL+ACULVsWZ2dn+vTpw/Dhw/H398+2rKWlJffu3VNblvHe0tJSbXlSUhIhISH06tUry7oyGtw3btxg37590ssthBBCiAIlje7PSHx8PJaWljRp0gQbGxtq1qxJnz59lHVBQUFs3bqVevXqYWdnx6hRo6hbty5BQUFKHe+mhuaW8ung4MDq1av55ZdfWL9+PWlpabi7u3Pr1i2ljKenJ2vXruXAgQPMnDmTw4cP4+XlRWpqKvDm4n///v38+eefFC1aFD09PebNm8eePXvUesSF+Ceys7NDR0eHsLAwZVlKSgrh4eFUqlRJrezbDdXHjx8THR2No6Pje8dgZGSElZWVWgzwZuC2jBhKlCgBoNZLHRkZqfE+3NzcGDduHMePH6dy5cps3LjxvWJOS0sjOTk52/W1a9fmyJEjajcG9u3bh4ODQ6a/K1u3biU5OZlvvvkmUz0ZDe6YmBj279+PmZnZe8UthBBCCPEumTLsM9KuXTsWLFhAuXLl8PT0pFmzZnh7e1OoUCHOnz9PamoqFSpUUNsmOTlZ7SLy3dTQ3NSuXVst5dXd3R1HR0eWLVvGlClTAOjYsaOy3tnZGRcXF+zs7AgNDaVx48akp6czaNAgzM3NOXr0KPr6+qxcuRJvb2/Cw8MpWbJkfk+JEJ88AwMDBgwYgJ+fH6amptjY2DBr1ixevHiRqed18uTJmJmZYWFhwffff0/x4sWVEdDfl5+fH5MmTcLOzg5XV1eCgoKIjIxkw4YNANjb22NtbY2/vz/Tpk0jOjqauXPn5lpvXFwcy5cvp0WLFlhZWREVFUVMTAxdu3YF4Pbt2zRu3Ji1a9dmm9q9ePFibGxsqFixIgBHjhxhzpw5ao/PvKtz58788MMP9OrVizFjxnDhwgUCAwOznN971apVtGzZMlODOiUlhbZt23LmzBl2795Namqq8jy4qamp2iBtQgghhBD5JY3uT4yWllamlNCMnhxra2uioqLYv38/+/btY+DAgcyePZvDhw/z/PlztLW1iYiIQFtbW217Q0ND5d9ZpYbmReHChXFzc+Pq1avZlilXrhzFixfn6tWrNG7cmIMHD7J7924eP36spG3++OOP7Nu3j+DgYMaOHZvveIT4HAQEBJCWlkaXLl149uwZ1atXZ+/evZl6ZAMCAhg6dCgxMTG4urqya9euAmv4DRkyhMTEREaOHMn9+/epVKkSO3fupHz58sCb/9ubNm1iwIABuLi4UKNGDaZOnapMr5WdIkWKcOXKFYKDg3n48CElS5Zk0KBB9OvXD3jz9ysqKooXL15kW0daWhrjxo0jLi6OQoUKYWdnx8yZM5U64M2YFD169FD+PhobG/P7778zaNAgqlWrRvHixZk4cWKmeb2joqI4duwYv//+e6b93r59m507dwJvxs5426FDh2jYsGGOxy6EEEIIoQlpdH9iSpQooZbe+fTpU+Li4pT3+vr6eHt74+3tzaBBg6hYsSLnz5/Hzc2N1NRU7t+/T7169T5YfKmpqZw/f55mzZplW+bWrVvKxTegXGxnPDOaQUtLS6PR04X4HCUnJys3vPT09Fi4cCELFy7MsmzDhg2VxmTz5s3zvK/u3bvTvXt3tWUtW7ZUu4GnpaXFpEmTmDRpUrb11KlTh3Pnzqkte7uOrPZjYWGR4wjrtra2uT5b/u233/Ltt9/mWCYuLi7TFGIuLi45zuUNbx6RyW7/msQmhBBCCPG+pNH9iWnUqBFr1qzB29sbExMTJk6cqPRcr1mzhtTUVGrVqkWRIkVYv349+vr6lClTBjMzM3x9fenatStz587Fzc2N//3vfxw4cAAXFxe+/vrrfMUzefJkvvjiC+zt7Xny5AmzZ8/mxo0byrQ7z58/54cffqBNmzZYWloSGxvL6NGjlXmI4U2KerFixejWrRsTJ05EX1+fFStWEBcXl++4hPhUvX79mujoaE6cOKHWUyvez2+//caiRYs+dhhCCCGEEHkmA6l9YsaNG0eDBg1o3rw5X3/9NS1btlSmATIxMWHFihXUqVMHFxcX9u/fz65du5TnFIOCgujatSsjR47EwcGBli1bEh4ersyXmx+PHz+mT58+ODo60qxZM54+fcrx48eVwZe0tbU5d+4cLVq0oEKFCvTq1Ytq1apx9OhRdHV1AShevDh79uzh+fPnNGrUiOrVq3Ps2DF++eUXqlSp8p5nTIhPy4ULF6hevTpOTk7079+/QOr08vLC0NAwy9f06dMLZB+fulOnTmk07ZgQQgghxKdGlS65deIz8fTpU4yNjany7VK0dfU/djjiHypidtePHUImt2/f5q+//spynampKaampn9zREIIIYQQIqN9kpiYmOOUo5JeLoQQn7hSpUp97BCEEEIIIUQ+SXr5v1x2KauGhoa5DlAkhBBCCCGEECJn0tP9LxcZGZntuk+1d+3I1E45pm8IIYQQQgghxKdCGt3/cvb29h87BCGEEEIIIYT4x5L0ciGEEEIIIYQQ4gORRrcQQgghhBBCCPGBSKNbCCGEEEIIIYT4QKTRLYQQQgghhBBCfCDS6BZCCCGEEEIIIT4QaXQLIYQQQgghhBAfiDS6hRBCCCGEEEKID0Tm6RafnfrjN6Gtq/+xwxBCiH+FiNldP3YIQgghxGdNerqFEEIIIYQQQogPRBrdQgghhBBCCCHEByKNbiGEEEIIIYQQ4gORRrcQQgghPqrr16+jUqmIjIwEIDQ0FJVKxZMnTz5qXJ8rf39/LCwsUKlU7NixI8tl3bt3p2XLlhrV9+7nI4QQIm+k0S2EEEII8Q9x+fJlfvjhB5YtW0ZCQgJeXl5ZLgsMDGTNmjUa1WltbU1CQgKVK1f+sMGLHKWnp+Pl5aV2MyWnshMnTqRkyZLo6+vTpEkTYmJi1MqcOXOGr776ChMTE8zMzOjbty/Pnz/Psd6GDRuiUqkICAjItO7rr79GpVLh7++f10MT4h/vs210y13wz9uVK1f44osv0NPTw9XV9WOHI4QQQmgsJSXlY4eQrdjYWAB8fHywtLREV1c3y2XGxsaYmJhoVKe2tjaWlpYUKiST3mTl1atXf8t+FixYgEql0qjsrFmzWLhwIUuXLuXkyZMYGBjg4eHBy5cvAbhz5w5NmjTB3t6ekydPsmfPHi5evEj37t1zrdva2jrTDZvbt29z4MABSpYsmdfDEuJf4ZNqdOcl1UkT7zbMM96rVCq0tLQwNjbGzc2N0aNHk5CQkGNdZ8+epVOnTlhbW6Ovr4+joyOBgYHZlg8LC6NQoUJZNigXL16Mra0tenp61KpVi1OnTqmtf/nyJYMGDcLMzAxDQ0PatGnDvXv31MocOHAAd3d3ihYtiqWlJWPGjOH169dqZdLT05kzZw4VKlRAV1eXUqVKMW3aNGX9zz//zFdffUWJEiUwMjKidu3a7N27V62OJUuW4OLigpGRkVLmt99+y/FcaWLSpEkYGBgQFRXFgQMH3rs+IYQQn649e/ZQt25dpUetefPmSkNQU9u2bcPJyQldXV1sbW2ZO3eu2vrk5GTGjBmDtbU1urq62Nvbs2rVqhzrTEtLo3Tp0ixZskRt+Z9//omWlhY3btwAQKVSsWTJElq0aIGBgQHTpk0jNTWVXr16UbZsWfT19XFwcMh0XZBxXTN9+nQsLCwwMTFh8uTJvH79Gj8/P0xNTSldujRBQUEan4ebN2/Svn17TExMMDU1xcfHh+vXrwNvUsi9vb0B0NLSUnod3132dmxvn4tZs2Zhb2+Prq4uNjY2yjVDVunlFy5cwMvLC0NDQywsLOjSpQsPHjxQ1jds2JAhQ4YwevRoTE1NsbS0zNQD+uTJE/r164eFhQV6enpUrlyZ3bt3k5SUhJGRET/99JNa+R07dmBgYMCzZ89yPEevXr1i8ODBlCxZEj09PcqUKcOMGTNy3W+G3L5rtra2TJkyha5du2JkZETfvn0BOHbsGPXq1UNfXx9ra2uGDBlCUlJSjrFqKjIykrlz57J69epcy6anp7NgwQLGjx+Pj48PLi4urF27ljt37ig95Lt376Zw4cIsXrwYBwcHatSowdKlS9m2bRtXr17Nsf7mzZvz4MEDwsLClGXBwcE0bdoUc3Pz9zpOIf6pPqlG998lKiqKO3fuEB4ezpgxY9i/fz+VK1fm/Pnz2W4TERGBubk569ev5+LFi3z//feMGzeORYsWZSr75MkTunbtSuPGjTOt27x5MyNGjGDSpEmcOXOGKlWq4OHhwf3795Uyw4cPZ9euXWzdupXDhw9z584dWrduraw/e/YszZo1w9PTkz///JPNmzezc+dOxo4dq7avoUOHsnLlSubMmcOVK1fYuXMnNWvWVNYfOXKEr776il9//ZWIiAi+/PJLvL29+fPPP5UypUuXJiAggIiICE6fPk2jRo3w8fHh4sWLmp3sbMTGxlK3bl3KlCmDmZnZe9UlhBDi05aUlMSIESM4ffo0Bw4cQEtLi1atWpGWlqbR9hEREbRv356OHTty/vx5/P39mTBhglpvW9euXdm0aRMLFy7k8uXLLFu2DENDwxzr1dLSolOnTmzcuFFt+YYNG6hTpw5lypRRlvn7+9OqVSvOnz9Pz549lQb71q1buXTpEhMnTuS7775jy5YtanUdPHiQO3fucOTIEebNm8ekSZNo3rw5xYoV4+TJk/Tv359+/fpx69atXM9DSkoKHh4eFC1alKNHjxIWFoahoSGenp68evWKUaNGKQ34hIQEEhISslyWlXHjxhEQEMCECRO4dOkSGzduxMLCIsuyT548oVGjRri5uXH69Gn27NnDvXv3aN++vVq54OBgDAwMOHnyJLNmzWLy5Mns27cPeNPI9/LyIiwsjPXr13Pp0iUCAgLQ1tbGwMCAjh07ZroZERQURNu2bSlatGiO52nhwoXs3LmTLVu2EBUVxYYNG7C1tc11v6DZdw1gzpw5VKlShT///JMJEyYQGxuLp6cnbdq04dy5c2zevJljx44xePBgZRt/f38ljrx48eIFnTt3ZvHixVhaWuZaPi4ujrt379KkSRNlmbGxMbVq1eLEiRPAm5tUOjo6aGn9X1NAX18feHPzICc6Ojr4+vqqfT5r1qyhZ8+eeTouIf5NVOnp6ekfO4gM3bt358mTJ+zYsYPk5GT8/PwICQnh6dOnVK9enfnz51OjRg3gTa/1l19+ye7duxk3bhzR0dG4urqycuVK5ZmjjDKPHz/GxMQk0/sMf/31F25ubhQvXjzXPzRvGzRoEJcvX+bgwYNqyzt27Ej58uXR1tZmx44daneGa9WqRY0aNZTGelpaGtbW1nz77beMHTuWxMRESpQowcaNG2nbti3wJhXb0dGREydO8MUXX/Ddd9+xb98+wsPDlXp37dpF+/btuX//PkWLFuXy5cu4uLhw4cIFHBwcND4mJycnOnTowMSJE7MtY2pqyuzZs+nVq1eW69PS0pg6dSrLly/nf//7H46OjgQEBODp6QmQKTVq0qRJGj3/8/TpU4yNjany7VK0dfU1PiYhhBD5FzG7a4HX+eDBA0qUKMH58+epXLky169fp2zZsvz555+4urpm+r329fXlf//7H7///rtSx+jRo/nvf//LxYsXiY6OxsHBgX379qk1NDQRGRlJ1apVuX79OjY2NqSlpWFjY8P48ePp378/8OZ3a9iwYcyfPz/HugYPHszdu3eVHtru3bsTGhrKtWvXlMZNxYoVMTc358iRIwCkpqZibGzMypUr6dixY471r1+/nqlTp3L58mXlt/TVq1eYmJiwY8cOmjZtyo4dO2jVqhVvX95ltezta65nz55RokQJFi1aRO/evTPt993PZ+rUqRw9elQtO+7WrVtYW1sTFRVFhQoVaNiwIampqRw9elQpU7NmTRo1akRAQAC///678rx5hQoVMu3z1KlTuLu7c/PmTUqWLMn9+/cpVaoU+/fvp0GDBjmepyFDhnDx4kX279+f6Zojt/3m9l2DNz3dbm5ubN++XSnTu3dvtLW1WbZsmbLs2LFjNGjQgKSkJPT09Fi0aBHbt2/Pc4Zfv379SE1NZeXKlcCb7+P27duzzQ49fvw4derU4c6dO2rp3u3bt0elUrF582YuXryIq6sr06dPZ+jQoSQlJdGnTx+2bdvG9OnTGTduXJZ1N2zYEFdXV3r06EG9evVISEggIiKCdu3acfv2bapXr07Lli3luW7xr5HRPklMTMTIyCjbcp9sT/fo0aPZtm0bwcHBnDlzBnt7ezw8PHj06JFaOT8/P+bOnUt4eDglSpTA29s7z89a6evr079/f8LCwtR6nHOTmJiIqamp2rKgoCCuXbvGpEmTMpV/9eoVERERahcEWlpaNGnSRLnzGBERQUpKilqZihUrYmNjo3Z3Uk9PL9MxvHz5koiICOBNI7xcuXLs3r2bsmXLYmtrS+/evTOdv7elpaXx7NmzTMeUITU1lZCQEJKSkqhdu3a29QQGBjJ37lzmzJnDuXPn8PDwoEWLFsoAHgkJCTg5OTFy5EjlLrwQQoh/rpiYGDp16kS5cuUwMjJSevvi4+M12v7y5cvUqVNHbVmdOnWIiYkhNTWVyMhItLW1c22MZcXV1RVHR0elt/vw4cPcv3+fdu3aqZWrXr16pm0XL15MtWrVKFGiBIaGhixfvjzTMTk5Oan1JlpYWODs7Ky819bWxszMTKPrj7Nnz3L16lWKFi2KoaEhhoaGmJqa8vLlyzyn67/t8uXLJCcnZ5mhl10chw4dUmIwNDSkYsWKAGpxuLi4qG2X0XiGNzc7SpcunWXDF9400J2cnAgODgbe3HAoU6YM9evXzzW+7t27ExkZiYODA0OGDFFrQOe239y+axne/T6cPXuWNWvWqJ0TDw8P0tLSiIuLA97clMmpwT19+nS17ePj49m5cycHDx5kwYIFuR53XmSc27lz51KkSBEsLS0pW7YsFhYWat/X7FSpUoXy5cvz008/sXr1arp06SLP/AuRg0+y0Z2UlMSSJUuYPXs2Xl5eVKpUiRUrVqCvr5/p+axJkybx1Vdf4ezsTHBwMPfu3VO786ipjB+LjOeicnP8+HE2b96sPMcDby4qxo4dy/r167P8w/PgwQNSU1MzpWtZWFhw9+5dAO7evYuOjk6mwU3eLuPh4cHx48fZtGkTqamp3L59m8mTJwMoaWPXrl3jxo0bbN26lbVr17JmzRoiIiKU3vOszJkzh+fPn2dKDzt//jyGhobo6urSv39/tm/fTqVKlXKsZ8yYMXTs2BEHBwdmzpyJq6ur8oORMRiLoaEhlpaWuab/CSGE+Lx5e3vz6NEjVqxYwcmTJzl58iRQcANQZaTF5pevr6/S6N64cSOenp6ZHn0yMDBQex8SEsKoUaPo1asXv//+O5GRkfTo0SPTMRUuXFjtvUqlynKZJqn2z58/p1q1akRGRqq9oqOj6dy5s8bH+668nr/nz5/j7e2dKY6YmBi1RnFOx6nJPnv37q2kdQcFBdGjRw+NBhKrWrUqcXFxTJkyhb/++ov27dsr1z/v+13J8O734fnz5/Tr10/tfJw9e5aYmBjs7Ow0qrN///5q21tZWXHw4EFiY2MxMTGhUKFCyvVlmzZtaNiwYZb1ZKSgvzse0L1799TS0zt37szdu3e5ffs2Dx8+xN/fn//973+UK1dOo3h79uzJ4sWL+emnnyS1XIhcfJKN7tjYWFJSUtTuNBYuXJiaNWty+fJltbJv97iampri4OCQqYwmMlKuNPljfuHCBXx8fJg0aRJNmzYF3vQCd+7cmR9++CHbu6cFpWnTpsyePZv+/fujq6tLhQoVaNasGYBydzItLY3k5GTWrl1LvXr1aNiwIatWreLQoUNERUVlqnPjxo388MMPbNmyJdMgGA4ODkRGRnLy5EkGDBhAt27duHTpUpaxPX36lDt37mR5lzg/n4sQQojP28OHD4mKimL8+PE0btwYR0dHHj9+nKc6HB0d1QZtgjcDllaoUAFtbW2cnZ1JS0vj8OHD+Yqxc+fOXLhwgYiICH766Sd8fX1z3SYsLAx3d3cGDhyIm5sb9vb279XbrImqVasSExODubk59vb2ai9jY+N811u+fHn09fU1TnuuWrUqFy9exNbWNlMc7zZGs+Pi4sKtW7eIjo7Otsw333zDjRs3WLhwIZcuXaJbt24a1Q1gZGREhw4dWLFiBZs3b2bbtm08evQo1/3m9l3LTtWqVbl06VKm82Fvb4+Ojo5GMZuamqptV6hQIcaOHcu5c+fUGuMA8+fPz3YAvrJly2Jpaan2eT59+pSTJ09mmaloYWGBoaEhmzdvRk9Pj6+++kqjeDt37qw8IpJTZ4wQ4hNtdH8MGQ3C3Aa4uHTpEo0bN6Zv376MHz9eWf7s2TNOnz7N4MGDlTuRkydP5uzZsxQqVIiDBw9SvHhxtLW1c7zzaGlpyatXrzJNhfbu3ckRI0bw5MkT4uPjefDgAT4+PgDK3cmSJUtSqFAhtRsAjo6OQOZ0vpCQEHr37s2WLVuyfBZOR0cHe3t7qlWrxowZM6hSpUqOI7cLIYQQGYoVK4aZmRnLly/n6tWrHDx4kBEjRuSpjpEjR3LgwAGmTJlCdHQ0wcHBLFq0SHk8ydbWlm7dutGzZ0927NhBXFwcoaGhmQY1y46trS3u7u706tWL1NRUWrRokes25cuX5/Tp0+zdu5fo6GgmTJigNtbKh+Dr60vx4sXx8fHh6NGjynEOGTJEo4HYsqOnp8eYMWMYPXo0a9euJTY2lj/++CPb0d8HDRrEo0eP6NSpE+Hh4cTGxrJ371569OihloKdkwYNGlC/fn3atGnDvn37iIuL47fffmPPnj1KmWLFitG6dWv8/Pxo2rQppUuX1qjuefPmsWnTJq5cuUJ0dDRbt27F0tISExOTXPeb23ctO2PGjOH48eMMHjxY6fX/5Zdf1AZSW7RokcYp/BksLS2pXLmy2gvAxsaGsmXLKuUqVqyoZHpmjEEwdepUdu7cyfnz5+natStWVlZqz4EvWrSIM2fOEB0dzeLFixk8eDAzZszQeCq5YsWKkZCQILPQCKGBT7LRbWdnh46OjtqdxpSUFMLDwzPdSfvjjz+Ufz9+/Jjo6Gilcampv/76i+XLl1O/fn1KlCiRbbmLFy/y5Zdf0q1bN7Wpt+DNHdXz58+r3Yns37+/0ktcq1YtdHR0qFatmtofp7S0NA4cOKDceaxWrRqFCxdWKxMVFUV8fHymu5MqlQorKyv09fXZtGkT1tbWVK1aFXjTs/z69Wu1u+4Zd3XfHo1106ZN9OjRg02bNvH1119rdL4yetGzYmRkhJWVVZZ3ieUuqBBC/PtoaWkREhJCREQElStXZvjw4cyePTtPdVStWpUtW7YQEhJC5cqVmThxIpMnT1abU3jJkiW0bduWgQMHUrFiRfr06ZOn6Zp8fX05e/YsrVq10igFuV+/frRu3ZoOHTpQq1YtHj58yMCBA/N0XHlVpEgRjhw5go2NDa1bt8bR0ZFevXrx8uXLHAfw0cSECRMYOXIkEydOxNHRkQ4dOmT7nHnG73xqaipNmzbF2dmZYcOGYWJiotHzwBm2bdtGjRo16NSpE5UqVWL06NGZGu29evXi1atXeUpfLlq0KLNmzaJ69erUqFGD69ev8+uvvyqx5bRfTb5rWXFxceHw4cNER0dTr1493NzcmDhxIlZWVkqZBw8efLBsiKioKBITE5X3o0eP5ttvv6Vv377UqFGD58+fs2fPHrUxgU6dOqU8orl8+XKWLVvGkCFD8rRfExMTjbMbhPg3+2RHLx82bBhbt25l1apV2NjYMGvWLHbu3ElsbCzFihVTRjZ1cnIiMDAQCwsLvv/+e+Xuoo6OTrajl0dFRWFkZMSzZ8+IiIhg1qxZxMfHc+TIkWwbhhcuXKBRo0Z4eHioXSxoa2tn21D39/fPNHr55s2b6datG8uWLaNmzZosWLCALVu2cOXKFeVZ7wEDBvDrr7+yZs0ajIyM+Pbbb4E3z5FnmD17Np6enmhpafHzzz8zZcoUtmzZotzBTEtLo0aNGhgaGrJgwQLS0tIYNGgQRkZGyoAiGzdupFu3bgQGBqpNSaavr6+kqY0bNw4vLy9sbGx49uwZGzduZObMmezduzfb9KMFCxYwadIkli9fjqurK0FBQcybN4+LFy9Svnx54M3ANXkd3VJGLxdCiL/fhxi9XAhNrVu3juHDh3Pnzh2N07SFEOLvouno5Z/UMINpaWnKABEBAQGkpaXRpUsXnj17RvXq1dm7dy/FihVT2yYgIIChQ4cSExODq6sru3btyvWPsoODAyqVCkNDQ8qVK0fTpk0ZMWJEjnMf/vTTT/zvf/9j/fr1rF+/XllepkwZjQdfA+jQoQP/+9//mDhxInfv3sXV1ZU9e/aoDa42f/58tLS0aNOmDcnJyXh4ePDjjz+q1fPbb78xbdo0kpOTqVKlCr/88gteXl7Kei0tLXbt2sW3335L/fr1MTAwwMvLi7lz5yplli9fzuvXrxk0aBCDBg1Slnfr1k0ZuOT+/ft07dqVhIQEjI2NcXFxybHBDW+m6khMTGTkyJHcv3+fSpUqsXPnTqXBLYQQQgiRkxcvXpCQkEBAQAD9+vWTBrcQ4rP2Xj3dKSkp3L17lxcvXlCiRIlsp5rSlKenJ/b29soc1kK8TXq6hRDi7/e593T3799f7Wb527755huWLl36N0eUvenTpzN9+vQs19WrV4/ffvvtb47o4/H392fatGnUr1+fX375RW2mEzlPQohPhaY93XludD979oz169cTEhLCqVOnePXqFenp6ahUKkqXLk3Tpk2V50c09fjxY8LCwmjbti0hISFqgzyIf6/k5GS1Z8efPn2KtbW1NLqFEOJv9Lk3uu/fv8/Tp0+zXGdkZJRpxo6P6dGjRzx69CjLdfr6+pQqVepvjujTJOdJCPGp+CDp5fPmzWPatGnY2dnh7e3Nd999pwzk9ejRIy5cuMDRo0dp2rQptWrV4j//+Y9GKcU9e/YkPDyckSNHKqNwCzFjxgx++OGHjx2GEEKIz5i5ufkn1bDOiamp6XtnDf4byHkSQnxu8tTT3alTJ8aPH4+Tk1OO5ZKTkwkKCkJHRydPo00K8Tbp6RZCiI+voHq63x4sNTfvDoSaV2vWrGHYsGGZpt8UQgghCpKmPd15mjJs06ZNuTa4AXR1denfv780uMV70dXVxcjISO0lhBDi8xQYGKgM0ilyFhoaikqlyvS6e/euUubZs2cMGzaMMmXKoK+vj7u7e6Z5wtPT05k4cSIlS5ZEX1+fJk2aEBMTk+O+/f39M+23YsWKamUaNmyYqUz//v0L7gQIIcQ/TL7n6a5Xr16mEbWFEEIIIbJibGycr17rz0lqaippaWkFVl9UVBQJCQnK6+00+d69e7Nv3z7WrVvH+fPnadq0KU2aNOH27dtKmVmzZrFw4UKWLl3KyZMnMTAwwMPDg5cvX+a4XycnJ7X9Hjt2LFOZPn36qJWZNWtWgR23EEL80+S70X369GmaNm1akLEIIYQQ4h+qe/fuykCpycnJDBkyBHNzc/T09Khbt26mXlqAsLAwXFxc0NPT44svvuDChQt52ufevXtxdHTE0NAQT09PEhISlHVpaWlMnjyZ0qVLo6urq0zhmSGjt/ntFPXIyEhUKpUyVeiaNWswMTFh586dVKpUCV1dXeLj4wkNDaVmzZoYGBhgYmJCnTp1uHHjRp5ihzfPo1taWiovLa03l21//fUX27ZtY9asWdSvXx97e3v8/f2xt7dnyZIlwJte7gULFjB+/Hh8fHxwcXFh7dq13LlzJ9cU/0KFCqntt3jx4pnKFClSRK2MZKMJIUT28t3otra25v79+wUZi/jEhYSEoFKpshxd/vLly7Ro0QJjY2MMDAyoUaMG8fHxamVOnDhBo0aNMDAwwMjIiPr16/PXX3/9TdELIYT4VIwePZpt27YRHBzMmTNnsLe3x8PDI9OI1H5+fsydO5fw8HBKlCiBt7c3KSkpGu3jxYsXzJkzh3Xr1nHkyBHi4+MZNWqUsj4wMJC5c+cyZ84czp07h4eHBy1atMg1/Tqr/cycOZOVK1dy8eJFTE1NadmyJQ0aNODcuXOcOHGCvn37olKpALh+/ToqlYrQ0NBc63Z1daVkyZJ89dVXhIWFKctfv35Namoqenp6auX19fWVXum4uDju3r1LkyZNlPXGxsbUqlWLEydO5LjfmJgYrKysKFeuHL6+vpl+zwE2bNhA8eLFqVy5MuPGjePFixe5Ho8QQvxb5bvRPWvWLMaOHavc7RWfn7ykwV2/fp1Ro0ZRr169TOtiY2OpW7cuFStWJDQ0lHPnzjFhwgS1i4ETJ07g6elJ06ZNOXXqFOHh4QwePFi5ay+EEOLfISkpiSVLljB79my8vLyoVKkSK1asQF9fn1WrVqmVnTRpEl999RXOzs4EBwdz7949tm/frtF+UlJSWLp0KdWrV6dq1aoMHjyYAwcOKOvnzJnDmDFj6NixIw4ODsycORNXV1cWLFiQp+NJSUnhxx9/xN3dHQcHB16/fk1iYiLNmzfHzs4OR0dHunXrho2NDQCFCxfGwcGBIkWKZFtnyZIlWbp0Kdu2bWPbtm1YW1vTsGFDzpw5A0DRokWpXbs2U6ZM4c6dO6SmprJ+/XpOnDih9OZnPP9tYWGhVreFhYXas+HvqlWrFmvWrGHPnj0sWbKEuLg46tWrx7Nnz5QynTt3Zv369Rw6dIhx48axbt06vvnmmzydNyGE+DfJd4tnwoQJXLlyBXt7e2xsbHBxcVF7ifyxtbXN9IPv6uqKv78/6enp+Pv7Y2Njg66uLlZWVgwZMkQpl5yczKhRoyhVqhQGBgbUqlVL7U56dmlwuUlNTcXX15cffviBcuXKZVr//fff06xZM2bNmoWbmxt2dna0aNFC7dmz4cOHM2TIEMaOHYuTkxMODg60b98eXV3dvJ8kIYQQn63Y2FhSUlKoU6eOsqxw4cLUrFmTy5cvq5WtXbu28m9TU1McHBwylclOkSJFsLOzU96XLFlSydB7+vQpd+7cUYsBoE6dOhrXn0FHR0ftusfU1JTu3bvj4eGBt7c3gYGBamntpUqV4sqVK9SsWTPbOh0cHOjXrx/VqlXD3d2d1atX4+7uzvz585Uy69atIz09nVKlSqGrq8vChQvp1KnTe9/M9vLyol27dri4uODh4cGvv/7KkydP2LJli1Kmb9++eHh44OzsjK+vL2vXrmX79u3Exsa+176FEOKfKt9/mdu2bcugQYOYMGECvXr1ok2bNmovUfC2bdvG/PnzWbZsGTExMezYsQNnZ2dl/eDBgzlx4gQhISGcO3eOdu3a4enpqZYq924anCZzl06ePBlzc3N69eqVaV1aWhr//e9/qVChAh4eHpibm1OrVi2158Xu37/PyZMnMTc3x93dHQsLCxo0aJDlwCxCCCFEQShcuLDae5VKRR5mSVUar29vk1Vqu76+vpI6niEoKIgTJ07g7u7O5s2bqVChAn/88Udews+kZs2aXL16VXlvZ2fH4cOHef78OTdv3uTUqVOkpKQoN8ctLS0BuHfvnlo99+7dU9ZpwsTEhAoVKqjt+121atUCyLGMEEL8mxXK74aTJk0qyDiEBuLj47G0tKRJkyYULlwYGxsb5U55fHw8QUFBxMfHY2VlBcCoUaPYs2cPQUFBTJ8+Hfi/NLgqVapotM9jx46xatUqIiMjs1x///59nj9/TkBAAFOnTmXmzJns2bOH1q1bc+jQIRo0aMC1a9eAN9OQzJkzB1dXV9auXUvjxo25cOEC5cuXf88zI4QQ4nNhZ2eHjo4OYWFhlClTBnjz2xQeHs6wYcPUyv7xxx9KWvbjx4+Jjo7G0dHxvWMwMjLCysqKsLAwGjRooCwPCwtTfldLlCgBQEJCAsWKFQPI9rcwK25ubri5uTFu3Dhq167Nxo0b+eKLL/Idc2RkJCVLlsy03MDAAAMDAx4/fszevXuVUcTLli2LpaUlBw4cwNXVFXjTw3/y5EkGDBig8X6fP39ObGwsXbp0yTE2IMv4hBBCvEejW/z92rVrx4IFCyhXrhyenp40a9YMb29vChUqxPnz50lNTaVChQpq2yQnJ2NmZqa8fzcNLifPnj2jS5curFixIsuRSwHlmXAfHx+GDx8OvEmHP378OEuXLqVBgwZKmX79+tGjRw/gzcXIgQMHWL16NTNmzMjbiRBCCPHZMjAwYMCAAfj5+WFqaoqNjQ2zZs3ixYsXmTKqJk+ejJmZGRYWFnz//fcUL148y8E888PPz49JkyZhZ2eHq6srQUFBREZGsmHDBgDs7e2xtrbG39+fadOmER0dzdy5c3OtNy4ujuXLl9OiRQusrKyIiooiJiaGrl27AnD79m0aN27M2rVrs00xX7BgAWXLlsXJyYmXL1+ycuVKDh48yO+//66U2bt3L+np6Tg4OHD16lX8/PyoWLGi8jurUqkYNmwYU6dOpXz58pQtW5YJEyZgZWWldg4bN25Mq1atGDx4MPDmhr23tzdlypThzp07TJo0CW1tbTp16gS8eTxg48aNNGvWDDMzM86dO8fw4cOpX7++PF4ohBDZkEb3J0ZLSytT+ltGOpu1tTVRUVHs37+fffv2MXDgQGbPnq2kl2lraxMREYG2trba9oaGhsq/s0qDy05sbCzXr1/H29tbWZbRgC5UqBBRUVFYW1tTqFAhKlWqpLato6Ojkj6ecec7qzKaPFMuhBDinyUgIIC0tDS6dOnCs2fPqF69Onv37lV6lN8uN3ToUGJiYnB1dWXXrl3o6OgUSAxDhgwhMTGRkSNHcv/+fSpVqsTOnTuV7KvChQuzadMmBgwYgIuLCzVq1GDq1Km0a9cux3qLFCnClStXCA4O5uHDh5QsWZJBgwbRr18/4M1velRUVI6jfb969YqRI0dy+/ZtihQpgouLC/v37+fLL79UyiQmJjJu3Dhu3bqFqakpbdq0Ydq0aWpp9aNHjyYpKYm+ffvy5MkT6taty549e9QGOo2NjeXBgwfK+1u3btGpUycePnxIiRIlqFu3Ln/88YfS86+jo8P+/ftZsGABSUlJWFtb06ZNG8aPH5+Hsy+EEP8uqvS8POD0jlu3brFx40auXbvG1KlTKV68OAcPHqRMmTJqg5cIzdWqVYsGDRoo6WFPnz7F0tKS0aNH4+/vr1Y2KiqKihUrEhERgaGhIQ4ODhw5ciTLEcbhzUBqw4YNU5tzNCcvX77M9HzW+PHjefbsGYGBgVSoUAEdHR3c3d2xs7Nj3bp1SrlWrVqhr6/Pxo0bSU9Pp3Tp0vTs2ZMpU6YoZdzc3PDy8lJS33Pz9OlTjI2NqfLtUrR19TXaRgghxPuJmN21QOrp1KkT2trarF+/vkDqE0IIIT62jPZJYmIiRkZG2ZbLd093aGgozZs3x8XFhdOnTzN69GiKFy/O3r17iY+PZ9OmTfmt+l+tUaNGrFmzBm9vb0xMTJg4caLSc71mzRpSU1OpVasWRYoUYf369ejr61OmTBnMzMzw9fWla9euzJ07Fzc3N/73v/9x4MABXFxc+Prrr/Mci56eHpUrV1ZbZmJiAqC23M/Pjw4dOlC/fn2+/PJL9uzZw65du5SR01UqlZLGV6VKFVxdXQkODubKlSv89NNP+TtRQgghPguvX78mOjqaEydOKL29QgghxL9JvkcvHz16NDNnzuT48eNq0z75+PjIqNTvYdy4cTRo0IDmzZvz9ddf07JlSyVrwMTEhBUrVlCnTh0l1WzXrl3KM9tBQUF07dqVkSNH4uDgQMuWLQkPD1cGoflQWrVqxdKlS5k1axbOzs6sXLmSbdu2UbduXaXMsGHDGDduHMOHD6dKlSocOHCAffv2SUaEEEL8w124cIHq1avj5ORE//79C6ROLy8vDA0Ns3xpmj0lhBBC/F3ynV5uYGDAxYsXsbW1pWjRopw9e5Zy5cpx7do1KlWqxMuXLws6VvEvJ+nlQgjx9yuo9PKCdPv2bf76668s15mammJqavo3RySEEOLf6IOnl1tZWXHhwgVsbW3VloeGhipzRAohhBBCFLRSpUp97BCEEEIIjeU7vXz48OH06dOHFStWkJaWxsmTJwkICGDEiBEMHTq0IGMUH1B26XmGhoYcPXr0Y4cnhBBCCCGEEJ+19xq9fM2aNUyePJnr168DUKZMGSZOnKjMESk+fe+OTv62UqVKoa//6aRxa5q+IYQQQgghhBAfmqbtk/dqdGd4/vw5oD4ftBAFTRrdQgghhBBCiE/FB3+m+20Zje1Xr16ho6NTEFUKIYQQQgghhBCfvXw/0/3jjz+ydu1aAFJSUvj666/R19fH0dGRS5cuFViAQgghhBBCCCHE5yrfje7AwEBl/uctW7Zw4sQJQkJCqFSpEiNGjCiwAIUQQgghhBBCiM9VvtPL4+PjlanBDh8+TK9evWjXrh3Ozs7Url27wAIUQgghhBBCCCE+V/nu6S5RogQXL14kLS2NgwcP0rBhQwDS09MpgLHZhBBCCCGEEEKIz16+e7q7detGmzZtMDU1JT09ncaNGwNw4sQJHB0dCyxAIYQQQgghhBDic5XvRveUKVNwdXXlxo0btGrVCj09PQB0dHT47rvvCixAIYQQQgghhBDic1Ug83QL8XfImAevyrdL0dbV/9jhCCHEv0rE7K4fOwQhhBDik/LB5un++eefs1xeuHBhTE1NqVq1Kvr60iASQgghhBBCCCHy3Ohu27ZtjuvNzMzYt28frq6u+Y1JCCGEEEIIIYT4R8jz6OVpaWnZvp4+fUrr1q3x8/P7ELEKIYQQ4h/s+vXrqFQqIiMjAQgNDUWlUvHkyZOPGtfnyt/fHwsLC1QqFTt27MhyWffu3WnZsqVG9b37+QghhNBMvqcMy4qhoSHDhw8nPDy8IKsVQgghhBB5cPnyZX744QeWLVtGQkICXl5eWS4LDAxkzZo1GtVpbW1NQkIClStX/rDBixylp6fj5eWldjMlp7ITJ06kZMmS6Ovr06RJE2JiYrIsm5ycjKurq0Y3VmxtbVGpVISEhGRa5+TkhEql0vh7JcS/QYE2ugESExMpUqRIQVcrhBBCCPFJSUlJ+dghZCs2NhYAHx8fLC0t0dXVzXKZsbExJiYmGtWpra2NpaUlhQrle/Kbf7RXr179LftZsGABKpVKo7KzZs1i4cKFLF26lJMnT2JgYICHhwcvX77MVHb06NFYWVlpHIe1tTVBQUFqy/744w/u3r2LgYGBxvUI8W+Q50b3zz//nO1r/fr19O3bV+M0pfchKWeft7t37/LVV19hYGCg8Y+9EEKIz9uePXuoW7cuJiYmmJmZ0bx5c6UhqKlt27bh5OSErq4utra2zJ07V219cnIyY8aMwdraGl1dXezt7Vm1alWOdaalpVG6dGmWLFmitvzPP/9ES0uLGzduAKBSqViyZAktWrTAwMCAadOmkZqaSq9evShbtiz6+vo4ODgQGBioVk9GCvf06dOxsLDAxMSEyZMn8/r1a/z8/DA1NaV06dKZGjA5uXnzJu3bt8fExARTU1N8fHy4fv068CaF3NvbGwAtLS1UKlWWy96O7e1zMWvWLOzt7dHV1cXGxoZp06YBWaeXX7hwAS8vLwwNDbGwsKBLly48ePBAWd+wYUOGDBnC6NGjMTU1xdLSEn9/f7VjefLkCf369cPCwgI9PT0qV67M7t27SUpKwsjIiJ9++kmt/I4dOzAwMODZs2c5nqNXr14xePBgSpYsiZ6eHmXKlGHGjBm57jdDbt81W1tbpkyZQteuXTEyMqJv374AHDt2jHr16qGvr4+1tTVDhgwhKSkpx1g1FRkZydy5c1m9enWuZdPT01mwYAHjx4/Hx8cHFxcX1q5dy507dzL1kP/222/8/vvvzJkzR+NYfH19OXz4MDdv3lSWrV69Gl9fX7kxI8Q78tzobtu2bZavjh07MnLkSCpXrkxAQEC+gsnLc0WaeLdhnvFepVKhpaWFsbExbm5ujB49moSEhBzrevjwIZ6enlhZWaGrq4u1tTWDBw/m6dOnWZYPCwujUKFCWQ4ot3jxYmxtbdHT06NWrVqcOnVKbf3du3fp0qULlpaWGBgYULVqVbZt25bpuLJ6ZaT2h4aG4uPjQ8mSJTEwMMDV1ZUNGzao7SclJYXJkydjZ2eHnp4eVapUYc+ePWplUlNTmTBhgnIxYWdnx5QpU3jfmebmz59PQkICkZGRREdHv1ddQgghPg9JSUmMGDGC06dPc+DAAbS0tGjVqhVpaWkabR8REUH79u3p2LEj58+fx9/fnwkTJqilsXbt2pVNmzaxcOFCLl++zLJlyzA0NMyxXi0tLTp16sTGjRvVlm/YsIE6depQpkwZZZm/vz+tWrXi/Pnz9OzZU2mwb926lUuXLjFx4kS+++47tmzZolbXwYMHuXPnDkeOHGHevHlMmjSJ5s2bU6xYMU6ePEn//v3p168ft27dyvU8pKSk4OHhQdGiRTl69ChhYWEYGhri6enJq1evGDVqlNKAT0hIICEhIctlWRk3bhwBAQFMmDCBS5cusXHjRiwsLLIs++TJExo1aoSbmxunT59mz5493Lt3j/bt26uVCw4OxsDAgJMnTzJr1iwmT57Mvn37gDeNfC8vL8LCwli/fj2XLl0iICAAbW1tDAwM6NixY6abEUFBQbRt25aiRYvmeJ4WLlzIzp072bJlC1FRUWzYsAFbW9tc9wuafdcA5syZQ5UqVfjzzz+ZMGECsbGxeHp60qZNG86dO8fmzZs5duwYgwcPVrbx9/dX4siLFy9e0LlzZxYvXoylpWWu5ePi4rh79y5NmjRRlhkbG1OrVi1OnDihLLt37x59+vRh3bp1ecpWtbCwwMPDg+DgYCW+zZs307NnzzwclRD/Dnm+DaXpD+OnLCoqCiMjI54+fcqZM2eYNWsWq1atIjQ0FGdn5yy30dLSwsfHh6lTp1KiRAmuXr3KoEGDePToUaYf6SdPntC1a1caN27MvXv31NZt3ryZESNGsHTpUmrVqsWCBQvw8PAgKioKc3Nz4M0Fw5MnT9i5cyfFixdn48aNtG/fntOnT+Pm5oa7u3umH8sJEyZw4MABqlevDsDx48dxcXFhzJgxWFhYsHv3brp27YqxsTHNmzcHYPz48axfv54VK1ZQsWJF9u7dS6tWrTh+/Dhubm4AzJw5kyVLlhAcHIyTkxOnT5+mR48eGBsbM2TIkHx/BrGxsVSrVo3y5cvnuw4hhBCflzZt2qi9X716NSVKlODSpUsaPSc8b948GjduzIQJEwCoUKECly5dYvbs2XTv3p3o6Gi2bNnCvn37lIZGuXLlNIrN19eXuXPnEh8fj42NDWlpaYSEhDB+/Hi1cp07d6ZHjx5qy3744Qfl32XLluXEiRNs2bJFrfFpamrKwoUL0dLSwsHBgVmzZvHixQu+++474P8au8eOHaNjx445xrp582bS0tJYuXKl0mMdFBSEiYkJoaGhNG3aVMkie7txltWytz179ozAwEAWLVpEt27dALCzs6Nu3bpZll+0aBFubm5Mnz5dWbZ69Wqsra2Jjo6mQoUKALi4uDBp0iQAypcvz6JFizhw4ABfffUV+/fv59SpU1y+fFkp//Zn1rt3b+W6p2TJkty/f59ff/2V/fv353iOAOLj4ylfvjx169ZFpVKp3TzJbb+5fdcyNGrUiJEjR6rF6+vry7Bhw5TjXbhwIQ0aNGDJkiXo6elRvHhx7Ozsco3/XcOHD8fd3R0fHx+Nyt+9excg000TCwsLZV16ejrdu3enf//+VK9eXcmW0FTPnj0ZOXIk33//PT/99BN2dnYyg5EQWSjwZ7oLSnJyMkOGDMHc3Bw9PT3q1q2b5QBtYWFhuLi4oKenxxdffMGFCxdyrdvc3BxLS0sqVKhAx44dCQsLo0SJEgwYMCDbbYoVK8aAAQOoXr06ZcqUoXHjxgwcOJCjR49mKtu/f386d+5M7dq1M62bN28effr0oUePHlSqVImlS5dSpEgRtTSh48eP8+2331KzZk3KlSvH+PHjMTExISIiAgAdHR0sLS2Vl5mZGb/88gs9evRQfny/++47pkyZgru7O3Z2dgwdOhRPT0+1edbXrVvHd999R7NmzShXrhwDBgygWbNmaulTx48fx8fHh6+//hpbW1vatm1L06ZNM/XOv2vJkiXY2dmho6ODg4MD69atU9bZ2tqybds21q5di0qlUvvxEkII8c8VExNDp06dKFeuHEZGRkpvX3x8vEbbX758mTp16qgtq1OnDjExMaSmphIZGYm2tjYNGjTIc2yurq44OjoqN9IPHz7M/fv3adeunVq5jJvbb1u8eDHVqlWjRIkSGBoasnz58kzH5OTkhJbW/112WVhYqN3o19bWxszMjPv37+ca69mzZ7l69SpFixbF0NAQQ0NDTE1NefnyZZ7T9d92+fJlkpOTady4sUblz549y6FDh5QYDA0NqVixIoBaHC4uLmrbZTSe4U26dOnSpZWG77tq1qyJk5OT0pu6fv16ypQpQ/369XONr3v37kRGRuLg4MCQIUP4/ffflXW57Te371qGd78PZ8+eZc2aNWrnxMPDg7S0NOLi4gAYPHgwBw4cyDbu6dOnq20fHx/Pzp07OXjwIAsWLMj1uPPiP//5D8+ePWPcuHH52v7rr7/m+fPnHDlyhNWrV0svtxDZ+GQb3aNHj2bbtm0EBwdz5swZ7O3t8fDw4NGjR2rl/Pz8mDt3LuHh4ZQoUQJvb+88D2yir69P//79CQsL0+jHDuDOnTv8/PPPmX7Yg4KCuHbtmnJH922vXr0iIiJCLc1HS0uLJk2aqKX5uLu7s3nzZh49eqTcaX/58iUNGzbMMpadO3fy8OHDTHfe35WYmIipqanyPjk5GT09PbUy+vr6HDt2TC2WAwcOKCngZ8+e5dixY3h5eWW7n+3btzN06FBGjhzJhQsX6NevHz169ODQoUMAhIeH4+npSfv27UlISMj07JsQQoh/Jm9vbx49esSKFSs4efIkJ0+eBApuACp9ff332t7X11dpdG/cuBFPT0/MzMzUyrw7QFRISAijRo2iV69e/P7770RGRtKjR49Mx1S4cGG19yqVKstlmmQUPn/+nGrVqhEZGan2io6OpnPnzhof77vyev6eP3+Ot7d3pjhiYmLUGsU5Hacm++zdu7eS1h0UFKTWyZCTqlWrEhcXx5QpU/jrr79o3749bdu21Xi/mnj3+/D8+XP69eundj7Onj1LTEyMxr3b/fv3V9veysqKgwcPEhsbi4mJCYUKFVKemW7Tpk2214cZGQ3vZl3eu3dPWXfw4EFOnDiBrq4uhQoVwt7eHnhzMyEj2yEnhQoVokuXLkyaNImTJ0/i6+ur0TEK8W/zSTa6k5KSWLJkCbNnz8bLy4tKlSqxYsUK9PX1Mw2GMmnSJL766iucnZ0JDg7m3r17bN++Pc/7zLgzm1taTadOnShSpAilSpXCyMiIlStXKutiYmIYO3Ys69evz3IAiQcPHpCamppjmg/Ali1bSElJwczMDF1dXfr168f27duVP4TvWrVqFR4eHpQuXTrbuLds2UJ4eLhaw9zDw4N58+YRExNDWloa+/bt4+eff1ZLXR87diwdO3akYsWKFC5cGDc3N4YNG5bjH9U5c+bQvXt3Bg4cSIUKFRgxYgStW7dWBucoUaIEurq66OvrY2lpibGxcbZ1CSGE+Gd4+PAhUVFRjB8/nsaNG+Po6Mjjx4/zVIejoyNhYWFqy8LCwqhQoQLa2to4OzuTlpbG4cOH8xVj586duXDhAhEREfz0008aNSDCwsJwd3dn4MCBuLm5YW9v/169zZqoWrUqMTExmJubY29vr/Z6n9/U8uXLo6+vn2Mv7LtxXLx4EVtb20xxaDp6tYuLC7du3cpxfJdvvvmGGzdusHDhQi5duqRRYzCDkZERHTp0YMWKFWzevJlt27bx6NGjXPeb23ctO1WrVuXSpUuZzoe9vT06OjoaxWxqaqq2XaFChRg7diznzp1Ta4zDmzFyshuAr2zZslhaWqp9nk+fPuXkyZNKNubChQs5e/asUuevv/4KvHmEIWMAvdz07NmTw4cP4+PjQ7FixTTaRoh/m0+y0R0bG0tKSopaWk/hwoWpWbMmly9fViv7dgq3qakpDg4OmcpoImNgsNzunM6fP58zZ87wyy+/EBsby4gRI4A3A4517tyZH374IdtUJU1NmDCBJ0+esH//fk6fPs2IESNo374958+fz1T21q1b7N27l169emVb36FDh+jRowcrVqzAyclJWR4YGEj58uWpWLEiOjo6DB48mB49eqilv23ZsoUNGzawceNGzpw5Q3BwMHPmzFHSvLKSXUpWfj4XIYQQ/wzFihXDzMyM5cuXc/XqVQ4ePKj8hmpq5MiRHDhwgClTphAdHU1wcDCLFi1i1KhRwJvHl7p160bPnj3ZsWMHcXFxhIaGZhrULDu2tra4u7vTq1cvUlNTadGiRa7blC9fntOnT7N3716io6OZMGFClo/DFSRfX1+KFy+Oj48PR48eVY5zyJAhGg3Elh09PT3GjBnD6NGjWbt2LbGxsfzxxx/Zjv6eMbZNp06dCA8PJzY2lr1799KjRw+1FOycNGjQgPr169OmTRv27dtHXFwcv/32m9rArsWKFaN169b4+fnRtGnTHDsZ3jZv3jw2bdrElStXiI6OZuvWrVhaWmJiYpLrfnP7rmVnzJgxHD9+nMGDByu9/r/88ovaQGqLFi3SOIU/g6WlJZUrV1Z7AdjY2FC2bFmlXMWKFZXOJ5VKxbBhw5g6dSo7d+7k/PnzdO3aFSsrK2XgYhsbG7U6M65h7ezsND7Pjo6OPHjwIE+j7wvxb5OnRve5c+f+EQOpZSWjQZjbaJKWlpZUrFiRFi1asGzZMpYsWUJCQgLPnj3j9OnTDB48WEn7mTx5MmfPnqVQoUIcPHiQ4sWLo62tnWOaT2xsLIsWLWL16tU0btyYKlWqMGnSJKpXr87ixYszxRMUFISZmVm2FwaHDx/G29ub+fPn07VrV7V1JUqUYMeOHSQlJXHjxg2uXLmCoaGh2kAifn5+Sm+3s7MzXbp0Yfjw4WpTbgghhBC50dLSIiQkhIiICCpXrszw4cOZPXt2nuqoWrUqW7ZsISQkhMqVKzNx4kQmT56sNjbIkiVLaNu2LQMHDqRixYr06dMnT9M1+fr6cvbsWVq1aqVRCnK/fv1o3bo1HTp0oFatWjx8+JCBAwfm6bjyqkiRIhw5cgQbGxtat26No6MjvXr14uXLlxgZGb1X3RMmTGDkyJFMnDgRR0dHOnTokO2jd1ZWVoSFhZGamkrTpk1xdnZm2LBhmJiYqN3Az822bduoUaMGnTp1olKlSowePTpTo71Xr168evUqT88MFy1alFmzZlG9enVq1KjB9evX+fXXX5XYctqvJt+1rLi4uHD48GGio6OpV68ebm5uTJw4UW3+6wcPHnywbIioqCgSExOV96NHj+bbb7+lb9++1KhRg+fPn7Nnz55Mjxe+LzMzswJL2Rfin0iVnoe5n7S1tUlISMDc3Jxy5coRHh6e6Vmn99G9e3eePHnChg0bMDU1JSgoSHk2KSUlhbJlyzJs2DBGjRpFaGgoX375JZs3b1ZGB338+LEyz2X79u2VMo8fP1ZG9Hz7fYa//voLNzc3LCws8pSSduTIERo0aEBcXBw2NjZcunRJbf2PP/7IwYMH+emnnyhbtiwGBgbUqlWLmjVr8p///Ad4Mxq8jY0NgwcPZuzYsZw/fx4XFxcuXbqEo6OjUpeHhwdlypRh+fLlyrL09HTs7OzUUrffFhoaSvPmzZk5cyaDBg3K9XhSUlJwdHSkffv2ykikZmZmTJ06VW2QuRkzZhAUFJRtSladOnVwcnJSi7V9+/a8ePFCmf+yZcuWmJiYZJp6IydPnz7F2NiYKt8uRVtX/rALIcTfKWJ219wLCfGBrFu3juHDh3Pnzh2N07SFEOJDy2ifJCYm5njTM09ThpmYmBAXF4e5uTnXr1//YL3eBgYGDBgwAD8/P0xNTbGxsVGm1ng3jXry5MmYmZlhYWHB999/T/HixXOd6/v+/fu8fPmSZ8+eERERwaxZs3jw4IHayN7v+vXXX7l37x41atTA0NCQixcv4ufnR506dZTe8XenO8kYef3t5SNGjKBbt25Ur16dmjVrsmDBApKSkpRnrStWrIi9vT39+vVjzpw5mJmZsWPHDvbt26c0WDMcPHiQuLg4evfunSneQ4cO0bx5c4YOHUqbNm2UZ8Z1dHSUwdROnjzJ7du3cXV15fbt2/j7+5OWlsbo0aOVery9vZk2bRo2NjY4OTnx559/Mm/evBzvNPv5+dG+fXvc3Nxo0qQJu3bt4ueff9Zoeg8hhBBCiAwvXrwgISGBgIAA+vXrJw1uIcRnKU+N7jZt2tCgQQNKliyJSqWievXq2Q4mce3atTwHk5aWpgxAFhAQQFpaGl26dOHZs2dUr16dvXv3ZhqgISAggKFDhxITE4Orqyu7du3K9Q+yg4MDKpVKSaVu2rQpI0aMyHbeSngzyuWKFSsYPnw4ycnJWFtb07p1a8aOHZunY+zQoQP/+9//mDhxInfv3sXV1ZU9e/Yog6sVLlyYX3/9lbFjx+Lt7c3z58+xt7cnODiYZs2aqdW1atUq3N3dlUHg3hYcHMyLFy+YMWOGWip4gwYNCA0NBeDly5eMHz+ea9euYWhoSLNmzVi3bp1aFsB//vMfJkyYwMCBA7l//z5WVlb069ePiRMnZnuMLVu2JDAwkDlz5jB06FDKli1LUFBQtqNrCiGEEB9a//79Wb9+fZbrvvnmG5YuXfo3R5S96dOnq819/bZ69erx22+//c0RfTyzZs1i2rRp1K9fP9O0VnKehBCfizyllwPs2bOHq1evMmTIECZPnkzRokWzLDd06NA8B+Pp6Ym9vT2LFi3K87binyc5OZnk5GTl/dOnT7G2tpb0ciGE+Ag+9/Ty+/fv8/Tp0yzXGRkZYW5u/jdHlL1Hjx5lmiI1g76+PqVKlfqbI/o0yXkSQnxsHyS9HN40jAEiIiIYOnRoto3uvHj8+DFhYWGEhobSv3//965P/DPMmDGDH3744WOHIYQQ4h/A3Nz8k2pY58TU1FR5FExkT86TEOJzke8pw4KCgkhNTWXu3Ln07t2b3r17M3/+fLUREzXVs2dP+vfvz8iRI/Hx8clvSOIfZty4cSQmJiqvmzdvfuyQhBBCvKfu3bvnOvZKhtDQUFQqFU+ePMnXvtasWaP2yJQQQgjxMeS70X369Gns7OyYP3++kt4zb9487OzsOHPmTJ7q2r59O7du3WLatGm5zpMt/j10dXUxMjJSewkhhPi8BQYG5mnmin+7xYsX4+joiL6+Pg4ODqxdu1Zt/c8//0z16tUxMTHBwMAAV1dX1q1bp1bG39+fihUrYmBgQLFixWjSpAknT57Mcb8zZsygRo0aFC1aFHNzc1q2bElUVFSBH58QQvwb5Dm9PMPw4cNp0aIFK1asUAY/e/36Nb1792bYsGEcOXKkwIIUQgghxD+DsbHxxw7hg0tNTUWlUuVpruqsLFmyhHHjxrFixQpq1KjBqVOn6NOnD8WKFcPb2xt4k2L9/fffU7FiRXR0dNi9ezc9evTA3NwcDw8PACpUqMCiRYsoV64cf/31F/Pnz6dp06ZcvXqVEiVKZLnvw4cPM2jQIGrUqMHr16/57rvvaNq0KZcuXcLAwOC9jksIIf5t3qune8yYMUqDG6BQoUKMHj2a06dPF0hwQgghhPhneTu9PDk5mSFDhihTbNatW5fw8PBM24SFheHi4oKenh5ffPEFFy5cyNM+9+7di6OjI4aGhnh6epKQkKCsS0tLY/LkyZQuXRpdXV1lVpEMWaW4R0ZGolKpuH79OvB/aew7d+6kUqVK6OrqEh8fT2hoKDVr1sTAwAATExPq1KnDjRs3NI573bp19OvXjw4dOlCuXDk6duxI3759mTlzplKmYcOGtGrVCkdHR+zs7Bg6dCguLi4cO3ZMKdO5c2eaNGlCuXLlcHJyYt68eTx9+pRz585lu+89e/bQvXt3nJycqFKlCmvWrCE+Pp6IiAiN4xdCCPFGvhvdRkZGxMfHZ1p+8+bNAhlcTXwa1qxZg0qlUnvp6emplenevXumMhkD7mWIjo7Gx8eH4sWLY2RkRN26dTl06NDfeShCCCE+MaNHj2bbtm0EBwdz5swZ7O3t8fDwyDQitZ+fH3PnziU8PJwSJUrg7e1NSkqKRvt48eIFc+bMYd26dRw5coT4+HhGjRqlrA8MDGTu3LnMmTOHc+fO4eHhQYsWLYiJicnTsbx48YKZM2eycuVKLl68iKmpKS1btqRBgwacO3eOEydO0LdvX+UxuuvXr6NSqZRpPLOSnJyc6TdXX1+fU6dOZXn86enpHDhwgKioKOrXr59lna9evWL58uUYGxtTpUoVjY8vY8weGbhMCCHyLt+N7g4dOtCrVy82b97MzZs3uXnzJiEhIfTu3ZtOnToVZIziA0lNTSUtLS3XckZGRiQkJCivrO7SZ/QcZLw2bdqktr558+a8fv2agwcPEhERQZUqVWjevDl3794tsOMRQgjx+UhKSmLJkiXMnj0bLy8vKlWqxIoVK9DX12fVqlVqZSdNmsRXX32Fs7MzwcHB3Lt3j+3bt2u0n5SUFJYuXUr16tWpWrUqgwcP5sCBA8r6OXPmMGbMGDp27IiDgwMzZ87E1dWVBQsW5Ol4UlJS+PHHH3F3d8fBwYHXr1+TmJhI8+bNsbOzw9HRkW7dumFjYwNA4cKFcXBwoEiRItnW6eHhwcqVK4mIiCA9PZ3Tp0+zcuVKUlJSePDggVIuMTERQ0NDdHR0+Prrr/nPf/7DV199pVbX7t27MTQ0RE9Pj/nz57Nv3z6KFy+u0bGlpaUxbNgw6tSpQ+XKlfN0XoQQQrxHo3vOnDm0bt2arl27Ymtri62tLd27d6dt27ZqaU8ib2xtbTP90Lu6uuLv7096ejr+/v7Y2Nigq6uLlZUVQ4YMUcolJyczatQoSpUqhYGBAbVq1VK7g55d+ltuVCoVlpaWysvCwiJTGV1dXbUyxYoVU9Y9ePCAmJgYxo4di4uLC+XLlycgIIAXL17kOUVQCCHEP0NsbCwpKSnUqVNHWVa4cGFq1qzJ5cuX1crWrl1b+bepqSkODg6ZymSnSJEi2NnZKe9LlizJ/fv3gTfzq965c0ctBoA6depoXH8GHR0dXFxc1OLs3r07Hh4eeHt7ExgYqJbWXqpUKa5cuULNmjWzrXPChAl4eXnxxRdfULhwYXx8fOjWrRuA2vPiRYsWJTIykvDwcKZNm8aIESMy9aB/+eWXREZGcvz4cTw9PWnfvr1yHnIzaNAgLly4QEhIiEblhRBCqMt3o1tHR4fAwEAeP35MZGQkkZGRPHr0iPnz56Orq1uQMYr/b9u2bcyfP59ly5YRExPDjh07cHZ2VtYPHjyYEydOEBISwrlz52jXrh2enp5qKXLvpr9pMmfp8+fPKVOmDNbW1vj4+HDx4sVMZUJDQzE3N8fBwYEBAwbw8OFDZZ2ZmZky4mpSUhKvX79m2bJlmJubU61atfc8K0IIIUT2ChcurPZepVKRnp6u8fYZjdu3t8kqtVtfXz/TDCxBQUGcOHECd3d3Nm/eTIUKFfjjjz803re+vj6rV6/mxYsXXL9+nfj4eGxtbSlatKjaAGhaWlrY29vj6urKyJEjadu2LTNmzFCry8DAAHt7e7744gtWrVpFoUKFMmUUZGXw4MHs3r2bQ4cOUbp0aY1jF0II8X/eb1hN3txBdnZ2xtnZOccUKfH+4uPjsbS0pEmTJtjY2FCzZk369OmjrAsKCmLr1q3Uq1cPOzs7Ro0aRd26dQkKClLqeDf9LbfPzMHBgdWrV/PLL7+wfv160tLScHd359atW0oZT09P1q5dy4EDB5g5cyaHDx/Gy8uL1NRU4M0Fzv79+/nzzz8pWrQoenp6zJs3jz179qj1iAshhPj3sLOzQ0dHh7CwMGVZSkoK4eHhVKpUSa3s2w3Vx48fEx0djaOj43vHYGRkhJWVlVoM8GbgtowYMhq3b/dSR0ZGarwPNzc3xo0bx/Hjx6lcuTIbN27Mc5yFCxemdOnSaGtrExISQvPmzXMcGT0tLY3k5OQc68ytTHp6OoMHD2b79u0cPHiQsmXL5jluIYQQb+R7yjDx92vXrh0LFiygXLlyeHp60qxZM7y9vSlUqBDnz58nNTWVChUqqG2TnJyMmZmZ8v7d9Lfc1K5dWy2tz93dHUdHR5YtW8aUKVMA6Nixo7Le2dkZFxcX7OzsCA0NpXHjxqSnpzNo0CDMzc05evQo+vr6rFy5Em9vb8LDwylZsmR+T4kQQojPlIGBAQMGDMDPzw9TU1NsbGyYNWsWL168oFevXmplJ0+ejJmZGRYWFnz//fcUL15cGQH9ffn5+TFp0iTs7OxwdXUlKCiIyMhINmzYAIC9vT3W1tb4+/szbdo0oqOjmTt3bq71xsXFsXz5clq0aIGVlRVRUVHExMTQtWtXAG7fvk3jxo1Zu3Zttinm0dHRnDp1ilq1avH48WPmzZvHhQsXCA4OVsrMmDGD6tWrY2dnR3JyMr/++ivr1q1jyZIlwJtn56dNm0aLFi0oWbIkDx48YPHixdy+fZt27dop9TRu3JhWrVoxePBg4E1K+caNG/nll18oWrSoMgaLsbEx+vr6+TjTQgjx7yWN7k+MlpZWprS3jDQ2a2troqKi2L9/P/v27WPgwIHMnj2bw4cP8/z5c7S1tYmIiEBbW1tte0NDQ+XfWaW/5UXhwoVxc3Pj6tWr2ZYpV64cxYsX5+rVqzRu3JiDBw+ye/duHj9+jJGREQA//vgj+/btIzg4mLFjx+Y7HiGEEJ+vgIAA0tLS6NKlC8+ePaN69ers3bs3UxZUQEAAQ4cOJSYmBldXV3bt2oWOjk6BxDBkyBASExMZOXIk9+/fp1KlSuzcuZPy5csDb373Nm3axIABA3BxcaFGjRpMnTpVrcGalSJFinDlyhWCg4N5+PAhJUuWZNCgQfTr1w9489seFRXFixcvsq0jNTWVuXPnEhUVReHChfnyyy85fvw4tra2SpmkpCQGDhzIrVu30NfXp2LFiqxfv54OHToAoK2trcTx4MEDzMzMqFGjBkePHsXJyUmpJzY2Vm1wtoxGe8OGDdViCgoKonv37rmeVyGEEP9HlZ6XB5vEB1erVi0aNGjArFmzgDeDvFhaWjJ69Gj8/f3VykZFRVGxYkUiIiIwNDTEwcGBI0eOUK9evSzrXrNmDcOGDVObazSvUlNTcXJyolmzZsybNy/LMrdu3cLGxoYdO3bQokULdu3aRcuWLZXRVTM4ODjQrVs3vvvuO432/fTp0zdTnHy7FG1ducsuhBB/p4jZXQuknk6dOqGtrc369esLpD4hhBDiY8lonyQmJiqdi1l572e6RcFq1KgR69at4+jRo5w/f55u3bopPddr1qxh1apVXLhwgWvXrrF+/Xr09fUpU6YMFSpUwNfXl65du/Lzzz8TFxfHqVOnmDFjBv/973/zHc/kyZP5/fffuXbtGmfOnOGbb77hxo0b9O7dG3gzyJqfnx9//PEH169f58CBA/j4+ChzrcKbFPVixYrRrVs3zp49S3R0NH5+fsTFxfH111+//0kTQgjxyXv9+jWXLl3ixIkTaj2sQgghxD9dvtPLb9++TWhoKHfu3CE9PZ1SpUrRoEEDGdnyPY0bN464uDiaN2+OsbExU6ZMIS4uDgATExMCAgIYMWIEqampODs7s2vXLuWZ7aCgIKZOncrIkSO5ffs2xYsX54svvqB58+b5jufx48f06dOHu3fvUqxYMapVq8bx48eVAWa0tbU5d+4cwcHBPHnyBCsrK5o2bcqUKVOUUeyLFy/Onj17+P7772nUqBEpKSk4OTnxyy+/UKVKlfc8Y0IIIT4HFy5cwN3dnS+//JL+/fsXSJ1eXl4cPXo0y3XfffedxplUQgghxIeUr/TyYcOGsXjxYmV06gza2toMGjQo0zzTQhQESS8XQoiPp6DSywvS7du3+euvv7JcZ2pqiqmp6d8ckRBCiH8TTdPL89zTvWjRIoKDg1m0aBFeXl6ULFkSlUpFQkIC//3vfxk3bhzly5dn0KBB73UAQgghhBA5KVWq1McOQQghhMhVnhvdq1evZvbs2cozvRmsra3p378/2traLF26VBrdn4m3BzZ712+//ZbtoGxCCCGEEEIIIXKX5/RyQ0NDzp49i52dXZbrY2NjcXFxISkpqUACFB9WTlN/lSpV6pOai1PT9A0hhBBCCCGE+NA+WHr5ixcviIuLIzExMcv1Dx484OXLl3mtVnwk9vb2HzsEIYQQQgghhPjHytfo5R4eHuTUQa5SqfIdkBBCCCGEEEII8U+R50Z3xvRVQgghhBBCCCGEyFmeG91lypT5EHEIIYQQQgghhBD/OFp53UBbW5v79+9nu/7evXtoa2u/V1BCCCGEEEIIIcQ/QZ4b3enp6bk+s53HAdGFEEIIIYQQQoh/pHwNpNagQQMKFcp609evX8tAakIIIYQQQgghBPlsdH/99dcYGhpmue7Zs2dERUW9V1BCCCGEEEIIIcQ/gSo9j7ngWlpa3L17F3Nz8yzX3717FysrK9LS0gokQCEyZEw+X+XbpWjr6n/scIQQQnxEEbO7fuwQhBBC/MtltE8SExMxMjLKtlyen+nu1q0b+vrZN3iKFClCt27d8lqtEEIIIYQQQgjxj5Pn9PKgoKAc1xsZGeVaRgghhBBCCCGE+DfIc0+3EEIIIYQQQgghNPNeje7Xr1+ze/duAgMDWbhwIb/++iupqakFFZsQQgghxEdz/fp1VCoVkZGRAISGhqJSqXjy5MlHjetz5e/vj4WFBSqVih07dmS5rHv37rRs2VKj+t79fIQQ4lOV70b3yZMnsbW1pV27dixevJhFixbRpk0bypUrR0REREHGKIQQQgghPmOXL1/mhx9+YNmyZSQkJODl5ZXlssDAQNasWaNRndbW1iQkJFC5cuUPG7zIUr9+/bCzs0NfX58SJUrg4+PDlStXctzm559/pmnTppiZmWl8w8Tf3x+VSoWnp2emdbNnz0alUtGwYcN8HoUQf498N7r79u2Lp6cn9+/fJzo6mujoaO7du0eTJk3o1atXQcaYJbnb/HkLCwvD2dmZwoULa3xHWwghhBDZS0lJ+dghZCs2NhYAHx8fLC0t0dXVzXKZsbExJiYmGtWpra2NpaUlhQrlawbcf7xXr1590PqrVatGUFAQly9fZu/evaSnp9O0adMcs16TkpKoW7cuM2fOzNO+SpYsyaFDh7h165ba8tWrV2NjY5Ov+IX4O+W70R0dHc2YMWMoWrSosszIyIgxY8bke57uvKQUaeLdhnnGe5VKhZaWFsbGxri5uTF69GgSEhJyrOvhw4d4enpiZWWFrq4u1tbWDB48mKdPn6rFn1H/2y8nJyeljK2tbZZlBg0apJRp2LBhpvX9+/dXi2fIkCFUq1YNXV1dXF1dM8WbcVfw3ZeBgUGO+1GpVHz99dfAmx/vMWPG4OzsjIGBAVZWVnTt2pU7d+5o/BlkZ8SIEbi6uhIXF6fxHW0hhBCiIO3Zs4e6detiYmKCmZkZzZs3VxqCmtq2bRtOTk7o6upia2vL3Llz1dYnJyczZswYrK2t0dXVxd7enlWrVuVYZ1paGqVLl2bJkiVqy//880+0tLS4ceMGACqViiVLltCiRQsMDAyYNm0aqamp9OrVi7Jly6Kvr4+DgwOBgYFq9WRcb02fPh0LCwtMTEyYPHkyr1+/xs/PD1NTU0qXLp2ngXFv3rxJ+/btMTExwdTUFB8fH65fvw68uSbx9vYG3kw9q1Kpslz2dmxvn4tZs2Zhb2+Prq4uNjY2TJs2Dcg6vfzChQt4eXlhaGiIhYUFXbp04cGDB8r6hg0bMmTIEEaPHo2pqSmWlpb4+/urHcuTJ0/o168fFhYW6OnpUblyZXbv3k1SUhJGRkb89NNPauV37NiBgYEBz549y/EcvXr1isGDB1OyZEn09PQoU6YMM2bMyHW/GXL7rtna2jJlyhS6du2KkZERffv2BeDYsWPUq1cPfX19rK2tGTJkCElJSTnGqom+fftSv359bG1tqVq1KlOnTuXmzZvK556VLl26MHHiRJo0aZKnfZmbm9O0aVOCg4OVZcePH+fBgwfKdasQn7J8N7obN27Mnj17Mi3//fffady48XsF9aFFRUVx584dwsPDGTNmDPv376dy5cqcP38+2220tLTw8fFh586dREdHs2bNGvbv36/WGA4MDCQhIUF53bx5E1NTU9q1a6eUCQ8PVyuzb98+ALUyAH369FErN2vWrEwx9ezZkw4dOmQZ76hRo9S2T0hIoFKlSmr7+fnnn9XWX7hwAW1tbaXMixcvOHPmDBMmTODMmTP8/PPPREVF0aJFCw3Ocs5iY2Np1KgRpUuX1viOthBCCFGQkpKSGDFiBKdPn+bAgQNoaWnRqlUr0tLSNNo+IiKC9u3b07FjR86fP4+/vz8TJkxQu5nctWtXNm3axMKFC7l8+TLLli3D0NAwx3q1tLTo1KkTGzduVFu+YcMG6tSpQ5kyZZRl/v7+tGrVivPnz9OzZ0+lwb5161YuXbrExIkT+e6779iyZYtaXQcPHuTOnTscOXKEefPmMWnSJJo3b06xYsU4efIk/fv3p1+/fpl6FrOSkpKCh4cHRYsW5ejRo4SFhWFoaIinpyevXr1i1KhRSgM+45ojq2VZGTduHAEBAUyYMIFLly6xceNGLCwssiz75MkTGjVqhJubG6dPn2bPnj3cu3eP9u3bq5ULDg7GwMCAkydPMmvWLCZPnqxcj6WlpeHl5UVYWBjr16/n0qVLBAQEoK2tjYGBAR07dsx0MyIoKIi2bduqdURlZeHChezcuZMtW7YQFRXFhg0bsLW1zXW/oNl3DWDOnDlUqVKFP//8kwkTJhAbG4unpydt2rTh3LlzbN68mWPHjjF48GBlG39/fyWO/EpKSiIoKIiyZctibW39XnVlp2fPnmrHu3r1anx9fdHR0fkg+xOiIOUpH2fIkCHKv4sVK8bIkSNZv3698izNxYsXOXPmDJ06dXrvwJKTk/Hz8yMkJISnT59SvXp15s+fT40aNdTKhYWFMW7cOKKjo3F1dWXlypW5Pttjbm6OiYkJlpaWVKhQAR8fH9zc3BgwYADHjh3LcptixYoxYMAA5X2ZMmUYOHAgs2fPVpYZGxtjbGysvN+xYwePHz+mR48eyrISJUqo1RsQEICdnR0NGjRQW16kSBEsLS2zPYaFCxcC8L///Y9z585lWm9oaKj2o3727FkuXbrE0qVLlWWmpqZq24SEhFCkSBGl0W1sbKz8CGVYtGgRNWvWJD4+Ptt0npw+u+vXr1O2bFngzR/Pnj17EhQURPfu3bM9ViGEEOJDaNOmjdr71atXU6JECS5duqTRc8Lz5s2jcePGTJgwAYAKFSpw6dIlZs+eTffu3YmOjmbLli3s27dP6dkrV66cRrH5+voyd+5c5fc2LS2NkJAQxo8fr1auc+fOatcZAD/88IPy77Jly3LixAm2bNmi1vg0NTVl4cKFaGlp4eDgwKxZs3jx4gXfffcd8H+N3WPHjtGxY8ccY928eTNpaWmsXLlS6bEOCgrCxMSE0NBQmjZtqtxgf/vaJqtlb3v27BmBgYEsWrSIbt26AWBnZ0fdunWzLL9o0SLc3NyYPn26smz16tVYW1sTHR1NhQoVAHBxcWHSpEkAlC9fnkWLFnHgwAG++uor9u/fz6lTp7h8+bJS/u3PrHfv3ri7u5OQkEDJkiW5f/8+v/76K/v378/xHAHEx8dTvnx56tati0qlUrt5ktt+c/uuZWjUqBEjR45Ui9fX15dhw4Ypx7tw4UIaNGjAkiVL0NPTo3jx4tjZ2eUaf1Z+/PFHRo8eTVJSEg4ODuzbt++DNYKbN29O//79OXLkCNWqVWPLli0cO3aM1atXf5D9CVGQ8tTTff78eeV169Yt6tSpQ5EiRbh27RrXrl1DX1+fOnXqcPPmzfcObPTo0Wzbto3g4GDOnDmDvb09Hh4ePHr0SK2cn58fc+fOJTw8nBIlSuDt7Z3nZ5r09fXp378/YWFh3L9/X6Nt7ty5w88//5ypsfy2VatW0aRJE7U/qm979eoV69evp2fPnsqPVIYNGzZQvHhxKleuzLhx43jx4oXmB5SFlStXUqFCBerVq5djvB07dlRLQX9XYmIiKpUqx97pnD67jEFPjIyMWLBgAQkJCdn21gshhBAfUkxMDJ06daJcuXIYGRkpvX3x8fEabX/58mXq1KmjtqxOnTrExMSQmppKZGQk2traOV4rZMfV1RVHR0elt/vw4cPcv38/U2Zc9erVM227ePFiqlWrRokSJTA0NGT58uWZjsnJyQktrf+7DLSwsMDZ2Vl5r62tjZmZmUbXRWfPnuXq1asULVpUuelvamrKy5cv85yu/7bLly+TnJyscQbl2bNnOXTokBKDoaEhFStWBFCLw8XFRW27jMYzQGRkJKVLl1Yavu+qWbMmTk5OSprz+vXrKVOmDPXr1881vu7duxMZGYmDgwNDhgzh999/V9bltt/cvmsZ3v0+nD17ljVr1qidEw8PD9LS0oiLiwNg8ODBHDhwINu4p0+frrb9298lX19f/vzzTw4fPkyFChVo3749L1++zPVc5EfhwoX55ptvCAoKYuvWrVSoUCHTZynEpypPPd2HDh36UHGoSUpKYsmSJaxZswYvLy8AVqxYwb59+1i1ahV+fn5K2UmTJvHVV18Bb9KFSpcuzfbt2zOlEuUm44/y9evXMTc3z7Zcp06d+OWXX/jrr7/w9vZm5cqVWZa7c+cOv/32W6bUsLft2LGDJ0+eZOrl7dy5M2XKlMHKyopz584pz8n//PPPeTqmDC9fvmTDhg2MHTs22zKnTp3iwoULOT5n9vLlS8aMGUOnTp0wMjLKsowmn52lpSUqlQpjY+Mce/OFEEKID8nb25syZcqwYsUKrKysSEtLo3LlygU2AJW+vv57be/r68vGjRsZO3YsGzduxNPTEzMzM7Uy794oDwkJYdSoUcydO5fatWtTtGhRZs+ezcmTJ9XKFS5cWO29SqXKcpkmqfbPnz+nWrVqbNiwIdO6dzP88iKv5+/58+d4e3tnOUhXyZIllX/ndJya7LN3794sXryYsWPHEhQURI8ePTJ1nmSlatWqxMXF8dtvv7F//37at29PkyZN+Omnn977u5Lh3e/D8+fP6devn1q2agZNByDr37+/2nW1lZWV8u+MLM/y5cvzxRdfUKxYMbZv314gWa9Z6dmzJ7Vq1eLChQv07Nnzg+xDiA/hvYd7vHTpElevXgXepKw4Ojq+d1CxsbGkpKSo3dErXLgwNWvW5PLly2pla9eurfzb1NQUBweHTGU0kZ6eDpDrH8358+czadIkoqOjGTduHCNGjODHH3/MVC44OBgTE5McB4ZbtWoVXl5ean+8AGXgCwBnZ2dKlixJ48aNiY2NzVf6z/bt23n27JmSmpVdLM7OztSsWTPL9SkpKbRv35709PRMA7u8LS+fnRBCCPGxPHz4kKioKFasWKFkgWX3iFl2HB0dCQsLU1sWFhZGhQoV0NbWxtnZmbS0NA4fPpzngaPgzU348ePHExERwU8//aT2iFh2wsLCcHd3Z+DAgcqy9+lt1kTVqlXZvHkz5ubm2d6Uz4/y5cujr6/PgQMH6N27t0ZxbNu2DVtb23yPaO7i4sKtW7fU0tHf9c033zB69GgWLlzIpUuXcry+epeRkREdOnSgQ4cOtG3bFk9PTx49epTrfnP7rmWnatWqXLp0CXt7e41jfJepqWmmRxKzkp6eTnp6OsnJyfneV26cnJxwcnLi3LlzdO7c+YPtR4iClu+B1G7evEn9+vWpXLkybdu2pW3btlSuXJn69etrnJb1KcloEOY2kISlpSUVK1akRYsWLFu2jCVLlmQa/CM9PZ3Vq1fTpUuXbJ9ruXHjBvv379foR6RWrVoAys2NvFq5ciXNmzfPduCRpKQkQkJCsp3qLaPBfePGDfbt21egP6hCCCHEx1CsWDHMzMxYvnw5V69e5eDBg4wYMSJPdYwcOZIDBw4wZcoUoqOjCQ4OZtGiRYwaNQp4c03RrVs3evbsyY4dO4iLiyM0NDTToGbZsbW1xd3dnV69epGamqrRQKbly5fn9OnT7N27l+joaCZMmEB4eHiejiuvfH19KV68OD4+Phw9elQ5ziFDhmg0EFt29PT0GDNmDKNHj2bt2rXExsbyxx9/ZJuVN2jQIB49ekSnTp0IDw8nNjaWvXv30qNHjxynsXpbgwYNqF+/Pm3atGHfvn1Kz/TbgwcXK1aM1q1b4+fnR9OmTSldurRGdc+bN49NmzZx5coVoqOj2bp1K5aWlpiYmOS639y+a9kZM2YMx48fZ/DgwURGRhITE8Mvv/yiNpDaokWL8jwI8rVr15gxYwYRERHEx8dz/Phx2rVrh76+Ps2aNVPKVaxYke3btyvvHz16RGRkJJcuXQLeDG4cGRnJ3bt3Nd73wYMHSUhIkIF4xWcl343u/v37o62tzfnz53n16hWvXr3i7NmzaGtrqw04lh92dnbo6Oio3dFLSUkhPDycSpUqqZX9448/lH8/fvyY6OjoPPe2//XXXyxfvpz69evnKQ0qIxXp3Tt6hw8f5urVqznOVx4UFIS5ublG0xxkTIXxdmqUpuLi4jh06FCOsWzdupXk5GS++eabTOsyGtwxMTHs378/U1rbu/Ly2QkhhBAfi5aWFiEhIURERFC5cmWGDx+uNjiqJqpWrcqWLVsICQmhcuXKTJw4kcmTJ6s9NrZkyRLatm3LwIEDqVixIn369MnTdE2+vr6cPXuWVq1aaZSC3K9fP1q3bk2HDh2oVasWDx8+VOv1/hCKFCnCkSNHsLGxoXXr1jg6OtKrVy9evnz53jfqJ0yYwMiRI5k4cSKOjo506NAh2+fMraysCAsLIzU1laZNm+Ls7MywYcMwMTFRe349N9u2baNGjRp06tSJSpUqMXr06EyN9l69evHq1as8pTgXLVqUWbNmUb16dWVw2V9//VWJLaf9avJdy4qLiwuHDx8mOjqaevXq4ebmxsSJE9WyLB88eJDnbAg9PT2OHj1Ks2bNsLe3p0OHDhQtWpTjx4+rPaYZFRVFYmKi8n7nzp24ubkp178dO3bEzc1NoyyODAYGBtLgFp8dVXpGXnUeZUy18O7onufOnaN27dr5mv+ve/fuPHnyhB07djBs2DC2bt3KqlWrsLGxYdasWezcuZPY2FiKFStGaGgoX375JU5OTgQGBmJhYcH333+v3MXT0dFRyjx+/FgZQfPLL78kKioKIyMjnj17RkREBLNmzSI+Pp4jR45k2zD89ddfuXfvHjVq1MDQ0JCLFy8qc1m+m47WpUsXYmJi1G4IvC0tLY2yZcvSqVMnAgIC1NbFxsayceNGmjVrhpmZGefOnWP48OGULl2aw4cPK+WuXr3K8+fPWbp0KYcOHWLz5s0AVKpUSa13fcKECaxevZr4+Phs04/q1atHqVKlCAkJUVuekpJC27ZtOXPmDLt371brKTc1Nc22Fz+3zw7ejFi6YMGCPI1a/vTpU4yNjany7VK0dQvm2SchhBCfp4jZXT92COJfbN26dQwfPpw7d+7IlFVC/ItltE8SExNzvMmY72e69fX1efjwYablDx8+RE9PL191pqWlKc/gBAQEkJaWRpcuXXj27BnVq1dn7969SqMtQ0BAAEOHDiUmJgZXV1d27dqV6x8/BwcHVCoVhoaGlCtXjqZNmzJixIgcB/XS19dnxYoVDB8+nOTkZKytrWndunWmwckSExPZtm0bgYGB2da1f/9+4uPjs7w7qqOjw/79+1mwYAFJSUlYW1vTpk2bTFOE9O7dW60R7ubmBrzp2X57zsc1a9bQvXv3bBvcUVFRHDt2TG0EzQy3b99m586dwJtRVN926NAhGjZsmGWdmn52QgghhBCfkxcvXpCQkEBAQAD9+vWTBrcQQiP57ukeMGAAu3fvZty4cUpv9/nz5wkICODrr7/OU5pIBk9PT+zt7Vm0aFF+QhL/cNLTLYQQIsPn3tPdv39/1q9fn+W6b775Jl/XUR/K9OnT1ea+flu9evX47bff/uaIPh5/f3+mTZtG/fr1+eWXXzA0NFTWyXkS4t9H057ufDe6k5OT8ff3Z8WKFcrc2cWKFaNPnz74+/vnqbf78ePHhIWF0bZtW0JCQnIc8Vv8eyQnJ6s9L//06VOsra2l0S2EEOKzb3Tfv3+fp0+fZrnOyMgox+lL/26PHj1SrvXepa+vT6lSpf7miD5Ncp6E+Pf54I3utz158gQg34MatGrVivDwcLp168bUqVM1mutQ/PP5+/vzww8/ZFoujW4hhBCfe6NbCCHE50/TRne+Ry9/m4mJyXuNIrh9+3Zu3brFtGnTpMEtFOPGjSMxMVF53bx582OHJIQQ4h+ke/fuGmfXhYaGolKplI6GvFqzZo2MuCyEEP9SeW50z5s3L8vXggULWLNmDTExMR8iTvEvpKuri5GRkdpLCCGEKCiBgYGsWbPmY4fxWejevTsqlSrTy8nJSa3c7du3+eabbzAzM0NfXx9nZ2dOnz6trH/+/DmDBw+mdOnS6OvrU6lSJY2eX9+6dSsVK1ZET08PZ2dnfv31V7X1+a1XCCH+DnkevXzUqFGULl0602jYaWlpPHz4kOTkZNatW0fHjh0LLEghhBBCiIJmbGz8sUP44FJTU1GpVHmapzorgYGBatOcvn79mipVqtCuXTtl2ePHj6lTpw5ffvklv/32GyVKlCAmJkZt9pIRI0Zw8OBB1q9fj62tLb///jsDBw7EysqKFi1aZLnv48eP06lTJ2bMmEHz5s3ZuHEjLVu25MyZM8pgvvmpVwgh/i75+gt8+vRp4uLi1F43btzg2bNn/PDDD0ydOrWg4xRCCCGEKFBvp5cnJyczZMgQzM3N0dPTo27duoSHh2faJiwsDBcXF/T09Pjiiy+4cOFCnva5d+9eHB0dMTQ0xNPTk4SEBGVdWloakydPpnTp0ujq6uLq6sqePXuU9VmluEdGRqJSqbh+/Trwf2nsO3fupFKlSujq6hIfH09oaCg1a9bEwMAAExMT6tSpw40bNzSO29jYGEtLS+V1+vRpHj9+TI8ePZQyM2fOxNramqCgIGrWrEnZsmVp2rQpdnZ2Spnjx4/TrVs3GjZsiK2tLX379qVKlSqcOnUq230HBgbi6emJn58fjo6OTJkyhapVq6rNdpOfeoUQ4u9SIM90Z1CpVPj6+hIXF1eQ1YqPaM2aNZlSyd4dmT6rlDNPT0+1MtHR0fj4+FC8eHGMjIyoW7cuhw4d+jsPRQghhMjW6NGj2bZtG8HBwZw5cwZ7e3s8PDwyjUbt5+fH3LlzCQ8Pp0SJEnh7e5OSkqLRPl68eMGcOXNYt24dR44cIT4+nlGjRinrAwMDmTt3LnPmzOHcuXN4eHjQokWLPD+69+LFC2bOnMnKlSu5ePEipqamtGzZkgYNGnDu3DlOnDhB3759lXF0rl+/jkqlIjQ0VON9rFq1iiZNmlCmTBll2c6dO6levTrt2rXD3NwcNzc3VqxYobadu7s7O3fu5Pbt26Snp3Po0CGio6Np2rRptvs6ceIETZo0UVvm4eHBiRMn3qteIYT4u+S50T179uwcn629c+eODBTymUhNTSUtLS3XckZGRiQkJCivrO6MZ9ytz3ht2rRJbX3z5s15/fo1Bw8eJCIigipVqtC8eXPu3r1bYMcjhBBC5EdSUhJLlixh9uzZeHl5UalSJVasWIG+vj6rVq1SKztp0iS++uornJ2dCQ4O5t69e2zfvl2j/aSkpLB06VKqV69O1apVGTx4MAcOHFDWz5kzhzFjxtCxY0ccHByYOXMmrq6uLFiwIE/Hk5KSwo8//oi7uzsODg68fv2axMREmjdvjp2dHY6OjnTr1g0bGxsAChcujIODA0WKFNGo/jt37vDbb7/Ru3dvteXXrl1jyZIllC9fnr179zJgwACGDBlCcHCwUuY///kPlSpVonTp0ujo6ODp6cnixYupX79+tvu7e/cuFhYWasssLCzUriHyU68QQvxd8tzoHjlyZI5zcC9evJh69eq9V1D/Zra2tpl+XF1dXfH39yc9PR1/f39sbGzQ1dXFysqKIUOGKOWSk5MZNWoUpUqVwsDAgFq1aqndtc4u5Sw3KpVKLaXs3R8+eDPo2dtl3n5+68GDB8TExDB27FhcXFwoX748AQEBvHjxIs9peUIIIURBi42NJSUlhTp16ijLChcuTM2aNbl8+bJa2dq1ayv/NjU1xcHBIVOZ7BQpUkQt1bpkyZLcv38feDPtzJ07d9RiAKhTp47G9WfQ0dHBxcVFLc7u3bvj4eGBt7c3gYGBamntpUqV4sqVK9SsWVOj+oODgzExMck08ntaWhpVq1Zl+vTpuLm50bdvX/r06aM2oNl//vMf/vjjD3bu3ElERARz585l0KBB7N+/P0/H+K4PVa8QQhSEAk0vT01NpW/fvsydO7cgqxX/37Zt25g/fz7Lli0jJiaGHTt24OzsrKwfPHgwJ06cICQkhHPnztGuXTs8PT3V0tLeTTkzNzfPdb/Pnz+nTJkyWFtb4+Pjw8WLFzOVCQ0NxdzcHAcHBwYMGMDDhw+VdWZmZjg4OLB27VqSkpJ4/fo1y5Ytw9zcnGrVqr3nWRFCCCE+D4ULF1Z7r1KpSE9P13j7jMHQ3t4mq9R2fX39TFOwBgUFceLECdzd3dm8eTMVKlTgjz/+yEv4yr5Xr15Nly5d0NHRUVtXsmRJKlWqpLbM0dFRucH/119/8d133zFv3jy8vb1xcXFh8ODBdOjQgTlz5mS7T0tLS+7du6e27N69e1haWr5XvUII8Xcp0Ea3trY29evXp1SpUgVZrfj/4uPjsbS0pEmTJtjY2FCzZk369OmjrAsKCmLr1q3Uq1cPOzs7Ro0aRd26dQkKClLqeDflLLdUMgcHB1avXs0vv/zC+vXrSUtLw93dnVu3billPD09Wbt2LQcOHGDmzJkcPnwYLy8vUlNTgTcXFfv37+fPP/+kaNGi6OnpMW/ePPbs2aPWIy6EEEJ8DHZ2dujo6Mr44sEAAOJ2SURBVBAWFqYsS0lJITw8PFMj8u2G6uPHj4mOjsbR0fG9YzAyMsLKykotBngzcFtGDCVKlABQ66WOjIzUeB9ubm6MGzeO48ePU7lyZTZu3JjnOA8fPszVq1fp1atXpnV16tQhKipKbVl0dLTy3HdKSgopKSmZRlLX1tbO8XG32rVrq6XhA+zbt0/JOshvvUII8XfJ05Rh8fHxyvM/mrh9+7Y0wAtQu3btWLBgAeXKlcPT05NmzZrh7e1NoUKFOH/+PKmpqVSoUEFtm+TkZMzMzJT376ac5aZ27dpqqXTu7u44OjqybNkypkyZAqA2PZyzszMuLi7Y2dkRGhpK48aNSU9PZ9CgQZibm3P06FH09fVZuXIl3t7ehIeHU7JkyfyeEiGEEOK9GRgYMGDAAPz8/DA1NcXGxoZZs2bx4sWLTI3LyZMnY2ZmhoWFBd9//z3FixfPlGadX35+fkyaNAk7OztcXV0JCgoiMjKSDRs2AGBvb4+1tTX+/v5MmzaN6OhojbIL4+LiWL58OS1atMDKyoqoqChiYmLo2rUr8OZ6rXHjxqxduzbXFPNVq1ZRq1YtZaqutw0fPhx3d3emT59O+/btOXXqFMuXL2f58uXAmxsLDRo0wM/PD319fcqUKcPhw4dZu3Yt8+bNU+rp2rUrpUqVYsaMGQAMHTqUBg0aMHfuXL7++mtCQkI4ffp0nusVQoiPJU+N7ho1atCyZUt69+5NjRo1siyTmJjIli1bCAwMpG/fvmrPHIvcaWlpZUo1y0gds7a2Jioqiv3797Nv3z4GDhzI7NmzOXz4MM+fP0dbW5uIiIhMc6gbGhoq/84q5SwvChcujJubG1evXs22TLly5ShevDhXr16lcePGHDx4kN27d/P48WNlEL4ff/yRffv2ERwczNixY/MdjxBCCFEQAgICSEtLo0uXLjx79ozq1auzd+/eTBlZAQEBDB06lJiYGFxdXdm1a1emNOv8GjJkCImJiYwcOZL79+9TqVIldu7cSfny5YE3v8GbNm1iwIABuLi4UKNGDaZOnao2V3ZWihQpwpUrVwgODubhw4eULFmSQYMG0a9fP+DNdUZUVBQvXrzIsZ7ExES2bdtGYGBglutr1KjB9u3bGTduHJMnT6Zs2bIsWLAAX19fpUxISAjjxo3D19eXR48eUaZMGaZNm0b//v2VMvHx8Wq91u7u7mzcuJHx48fz3XffUb58eXbs2KHW8NekXiGE+FhU6Xl4mOjhw4dMmzaN1atXo6enR7Vq1bCyskJPT4/Hjx9z6dIlLl68SNWqVZkwYQLNmjX7kLH/I9WqVYsGDRowa9Ys4M3AKpaWlowePRp/f3+1slFRUVSsWJGIiAgMDQ1xcHDgyJEj2Q5kt2bNGoYNG6Y2v2depaam4uTkRLNmzbK9e3zr1i1sbGzYsWMHLVq0YNeuXbRs2ZLExES1GwAODg5069aN7777TqN9P336FGNjY6p8uxRtXf18H4MQQojPX8Tsru9dR6dOndDW1mb9+vUFEJEQQoh/m4z2SWJiYo4zfOXpmW4zMzPmzZtHQkICixYtonz58srI1AC+vr5ERERw4sQJaXDnU6NGjVi3bh1Hjx7l/PnzdOvWTem5XrNmDatWreLChQtcu3aN9evXK2lUFSpUwNfXl65du/Lzzz8TFxfHqVOnmDFjBv/973/zHc/kyZP5/fffuXbtGmfOnOGbb77hxo0byjQhz58/x8/Pjz/++IPr169z4MABfHx8lPlN4U2KerFixejWrRtnz54lOjoaPz8/4uLi+Prrr9//pAkhhBB58Pr1ay5dusSJEydwcnL62OEIIYT4h8tTenkGfX192rZtS9u2bQs6nn+9cePGERcXR/PmzTE2NmbKlCnExcUBYGJiQkBAACNGjCA1NRVnZ2d27dqlPLMdFBTE1KlTGTlyJLdv36Z48eJ88cUXNG/ePN/xPH78mD59+nD37l2KFStGtWrVOH78uDKoi7a2NufOnSM4OJgnT55gZWVF06ZNmTJlCrq6ugAUL16cPXv28P3339OoUSNSUlJwcnLil19+oUqVKu95xoQQQoi8uXDhAu7u7nz55ZcFln7s5eXF0aNHs1z33XffaZzVJYQQ4p8nT+nlQnxMkl4uhBAiQ0Gklxek27dv89dff2W5ztTUFFNT0785IiGEEB+apunl+erpFkIIIYQQ/0dmaxFCCJGdAp2nW3x+DA0Ns31llyYnhBBCCCGEEEIz0tP9LxcZGZntuk/1rv2RqZ1yTN8QQgghhBBCiE9Fvhvdf/31F+np6RQpUgSAGzdusH37dipVqkTTpk0LLEDxYdnb23/sEIQQQgghhBDiHyvf6eU+Pj6sXbsWgCdPnlCrVi3mzp2Lj48PS5YsKbAAhRBCCCGEEEKIz1W+G91nzpyhXr16APz0009YWFhw48YN1q5dy8KFCwssQCGEEEIIIYQQ4nOV70b3ixcvKFq0KAC///47rVu3RktLiy+++IIbN24UWIBCCCGEEEIIIcTnKt+Nbnt7e3bs2MHNmzfZu3ev8hz3/fv3ZZArIYQQQgghhBCC92h0T5w4kVGjRmFra0vNmjWpXbs28KbX283NrcACFEIIIYQQQgghPleq9PT09PxufPfuXRISEqhSpQpaWm/a76dOncLIyIiKFSsWWJBCADx9+hRjY2MSExMlm0IIIYQQQgjxUWnaPnmvebotLS2xtLQkPT2d9PR0VCoVNWvWfJ8qhRBCCCGEEEKIf4z3anSvWrWK+fPnExMTA0D58uUZNmwYvXv3LpDghMhK/fGb0NbV/9hhCCGE+IgiZnf92CEIIYQQGsl3o3vixInMmzePb7/9Vnme+8SJEwwfPpz4+HgmT55cYEEKIYQQQgghhBCfo3w3upcsWcKKFSvo1KmTsqxFixa4uLjw7bffSqNbCCGEEEIIIcS/Xr5HL09JSaF69eqZllerVo3Xr1+/V1BCCCGEEB/b9evXUalUREZGAhAaGopKpeLJkycfNa7Plb+/PxYWFqhUKnbs2JHlsu7du9OyZUuN6nv38xFCiE9VvhvdXbp0YcmSJZmWL1++HF9f3/cKSgghhBBC/HNcvnyZH374gWXLlpGQkICXl1eWywIDA1mzZo1GdVpbW5OQkEDlypU/bPAiS/369cPOzg59fX1KlCiBj48PV65cyXGbn3/+maZNm2JmZqbxDRN/f39UKhWenp6Z1s2ePRuVSkXDhg3zeRRC/D3ylF4+YsQI5d8qlYqVK1fy+++/88UXXwBw8uRJ4uPj6dpVBjcRQgghhPg7paSkULhw4Y8dRpZiY2MB8PHxQaVSZbtMV1dX4zq1tbWxtLQs4Ej/OV69eoWOjs4Hq79atWr4+vpiY2PDo0eP8Pf3p2nTpsTFxaGtrZ3lNklJSdStW5f27dvTp08fjfdVsmRJDh06xK1btyhdurSyfPXq1djY2Lz3sQjxoeWpp/vPP/9UXufPn6datWqUKFGC2NhYYmNjKV68OFWrVuXixYsfKl41kub1eduxYwf29vZoa2szbNiwjx2OEEKIf5k9e/ZQt25dTExMMDMzo3nz5kpDUFPbtm3DyckJXV1dbG1tmTt3rtr65ORkxowZg7W1Nbq6utjb27Nq1aoc60xLS6N06dKZMgr//PNPtLS0uHHjBvCmA2TJkiW0aNECAwMDpk2bRmpqKr169aJs2bLo6+vj4OBAYGCgWj0ZKdzTp0/HwsICExMTJk+ezOvXr/Hz88PU1JTSpUsTFBSk8Xm4efMm7du3x8TEBFNTU3x8fLh+/Trwpqfy/7F353E1pv/jx1+nUCmVUFlKtMkSWUfWwbQg2bcGyU6fxlaYGTQMkmXkY6bBkIx9GcvMxzK2QoxJZCuVLDHC1xaypfr94dH9c7SdLCMz7+fjcR6Pzn1f93W/7/uczjnXdb3v6/bw8ABAS0sLlUqV57JXY3v1XAQHB2NjY4OOjg6WlpbMmDEDyDu9/OzZs7i7u2NgYICZmRn9+vXj9u3byvrWrVvj5+dHQEAAJiYmmJubExgYqHYs9+/fZ9iwYZiZmaGrq0vt2rX57bffSE9Px9DQkE2bNqmV37p1K/r6+jx8+LDAc/T8+XN8fX2pWLEiurq6VK1alVmzZhW63xyFvdesrKyYPn06/fv3x9DQkKFDhwJw+PBhWrRogZ6eHhYWFvj5+ZGenl5grJoYOnQoLVu2xMrKivr16/Ptt99y9epV5XXPS79+/ZgyZQrt2rUr0r5MTU1xcXEhPDxcWXbkyBFu375Nhw4d3vQQhPjbFKnRfeDAAY0e+/fvf+OAinItjyZeb5jnPFepVGhpaWFkZISTkxMBAQGkpqYWWNedO3dwc3OjUqVK6OjoYGFhga+vLw8ePFCLP6f+Vx+1atVSylhZWeVZZtSoUUqZ1q1b51o/fPhwtXhSUlLo0KEDpUuXxtTUFH9//3yvp4+KiqJEiRLUq1dPbfmsWbNo1KgRZcqUwdTUlM6dO5OQkKBWRpNY3sSwYcPo3r07V69eZfr06W9dnxBCCFEU6enpjB07luPHj7Nv3z60tLTo0qULWVlZGm0fExNDz5496d27N2fOnCEwMJDJkyerpUf379+ftWvXsnDhQuLj41m8eDEGBgYF1qulpUWfPn1Ys2aN2vLVq1fTrFkzqlatqiwLDAykS5cunDlzBh8fH6XBvnHjRuLi4pgyZQpffvklGzZsUKtr//79XL9+nYMHDzJ//nymTp1Kx44dKVu2LMeOHWP48OEMGzaMa9euFXoeMjIycHV1pUyZMhw6dIioqCgMDAxwc3Pj+fPnjB8/XmnAp6amkpqamueyvEyaNImgoCAmT55MXFwca9aswczMLM+y9+/fp02bNjg5OXH8+HF27drFzZs36dmzp1q58PBw9PX1OXbsGMHBwUybNo09e/YALxv57u7uREVFsWrVKuLi4ggKCkJbWxt9fX169+6dqzMiLCyM7t27U6ZMmQLP08KFC9m+fTsbNmwgISGB1atXY2VlVeh+QbP3GsDcuXOpW7cuJ0+eZPLkySQnJ+Pm5ka3bt04ffo069ev5/Dhw/j6+irbBAYGKnG8qfT0dMLCwqhWrRoWFhZvVVd+fHx81I53+fLleHl5vdfRfCHelbe6T/fHLCEhAUNDQx48eMCJEycIDg5m2bJlREREUKdOnTy30dLSwtPTk2+//ZYKFSpw4cIFRo0axd27d5UvxpCQEIKCgpRtXrx4Qd26denRo4eyLDo6mszMTOX52bNn+eyzz9TKAAwZMkRtFvjSpUsrf2dmZtKhQwfMzc05cuQIqamp9O/fn5IlSzJz5ky1eu7fv0///v1p27YtN2/eVFsXGRnJqFGjaNSoES9evODLL7/ExcWFuLg49PX1NYrlTTx69Ihbt27h6upKpUqV3qouIYQQ4k1069ZN7fny5cupUKECcXFxGl0nPH/+fNq2bcvkyZMBsLOzIy4ujjlz5uDt7U1iYiIbNmxgz549yshe9erVNYrNy8uLefPmkZKSgqWlJVlZWaxbt46vv/5arVzfvn0ZOHCg2rJvvvlG+btatWocPXqUDRs2qDU+TUxMWLhwIVpaWtjb2xMcHMzjx4/58ssvgf/f2D18+DC9e/cuMNb169eTlZXFTz/9pIxYh4WFYWxsTEREBC4uLhgbGwOopYPntexVDx8+JCQkhEWLFjFgwAAArK2tad68eZ7lFy1ahJOTk9rvoOXLl2NhYUFiYiJ2dnYAODo6MnXqVABsbW1ZtGgR+/bt47PPPmPv3r38+eefxMfHK+Vffc0GDx6Ms7MzqampVKxYkVu3brFjxw727t1b4DmCl4Mltra2NG/eHJVKpdZ5Uth+C3uv5WjTpg3jxo1Ti9fLy0vJKLS1tWXhwoW0atWK0NBQdHV1KV++PNbW1oXGn5cffviBgIAA0tPTsbe3Z8+ePe+tEdyxY0eGDx/OwYMHadCgARs2bODw4cMsX778vexPiHfpjSdSg5eNuXnz5jF48GAGDx7M/PnzSUtLe1ex8ezZM/z8/DA1NUVXV5fmzZsTHR2dq1xUVBSOjo7o6uryySefcPbs2ULrNjU1xdzcHDs7O3r37k1UVBQVKlRgxIgR+W5TtmxZRowYQcOGDalatSpt27Zl5MiRHDp0SCljZGSEubm58jh+/Dj37t1T+0KsUKGCWpnffvsNa2trWrVqpba/0qVLq5UzNDRU1v3+++/ExcWxatUq6tWrh7u7O9OnT+f777/n+fPnavUMHz6cvn37KvdTf9WuXbvw9vamVq1a1K1blxUrVpCSkkJMTIzGseTl3r179O/fn7Jly1K6dGnc3d1JSkoCXmYb5PQGt2nTBpVKRURERIH1CSGEEO9aUlISffr0oXr16hgaGiqjfSkpKRptHx8fT7NmzdSWNWvWjKSkJDIzM4mNjUVbWzvX97sm6tWrh4ODg9KpHxkZya1bt3J10Od1J5nvv/9euQTQwMCAJUuW5DqmWrVqoaX1/38GmpmZqQ06aGtrU65cOW7dulVorKdOneLChQuUKVMGAwMDDAwMMDEx4enTp0VO139VfHw8z549o23bthqVP3XqFAcOHFBiMDAwoEaNGgBqcTg6Oqptl9N4BoiNjaVKlSpKw/d1jRs3platWkqa86pVq6hatSotW7YsND5vb29iY2Oxt7fHz8+P33//XVlX2H4Le6/leP39cOrUKVasWKF2TlxdXcnKyuLSpUsA+Pr6sm/fvnzjnjlzptr2r76XvLy8OHnyJJGRkdjZ2dGzZ0+ePn1a6Ll4EyVLluTzzz8nLCyMjRs3Ymdnl+u1FKK4euNG9/Hjx7G2tua7777j7t273L17l++++w5ra2tOnDjxToILCAhg8+bNhIeHc+LECWxsbHB1deXu3btq5fz9/Zk3bx7R0dFUqFABDw8PMjIyirQvPT09hg8fTlRUlEZfMADXr1/nl19+KfDLdNmyZbRr106tN/NVz58/Z9WqVfj4+Ci9wzlWr15N+fLlqV27NpMmTeLx48fKuqNHj1KnTh21FCtXV1cePHigdk19WFgYFy9eVHp0C5PTaWJiYqJxLHnx9vbm+PHjbN++naNHj5KdnU379u3JyMjA2dlZSWHfvHkzqampODs7axSfEEII8a54eHhw9+5dli5dyrFjxzh27BhArs7rN6Wnp/dW23t5eSmN7jVr1uDm5ka5cuXUyryalQawbt06xo8fz6BBg/j999+JjY1l4MCBuY7p9QnXVCpVnss0SbV/9OgRDRo0IDY2Vu2RmJhI3759NT7e1xX1/D169AgPD49ccSQlJak1igs6Tk32OXjwYCXNOSwsjIEDB+b6DZeX+vXrc+nSJaZPn86TJ0/o2bMn3bt313i/mnj9/fDo0SOGDRumdj5OnTpFUlKSxqPbw4cPV9v+1QxFIyMjbG1tadmyJZs2beL8+fNs2bLlnRxLXnx8fNi4cSPff/89Pj4+720/Qrxrb5xePmbMGDp16sTSpUspUeJlNS9evGDw4MGMHj2agwcPvlVg6enphIaGsmLFCtzd3QFYunQpe/bsYdmyZfj7+ytlp06dymeffQa8vE6nSpUqbNmyJdc1PIXJ6Q29fPkypqam+Zbr06cP27Zt48mTJ3h4ePDTTz/lWe769evs3Lkz1zVZr9q6dSv3799XSw2Cl+liVatWpVKlSpw+fZoJEyaQkJDAL7/8AsCNGzdyXdOU8/zGjRvAyx78iRMncujQIeU1KkhWVhajR4+mWbNmaml1hcXyuqSkJLZv305UVJTSmF69ejUWFhZs3bqVHj16KOc3ZxITIYQQ4u90584dEhISWLp0KS1atABeTjhVFA4ODkRFRakti4qKws7ODm1tberUqUNWVhaRkZFFnjgKXn7/fv3118TExLBp0yZ+/PHHQrfJ+e4dOXKksuxtRps1Ub9+fdavX4+pqWmhmXBFYWtri56eHvv27WPw4MEaxbF582asrKw0+t2TF0dHR65du6aWjv66zz//nICAABYuXEhcXJyS+q4JQ0NDevXqRa9evejevTtubm7cvXu30P0W9l7LT/369YmLi8PGxkbjGF9nYmKSazAmL9nZ2WRnZ/Ps2bM33ldhatWqRa1atTh9+vRbdegI8Xd7q5HuCRMmqH2olShRgoCAAI4fP/7WgSUnJ5ORkaGWSlOyZEkaN25MfHy8WtlX06ZNTEywt7fPVUYT2dnZAIX2Vn733XecOHGCbdu2kZycrHYrtVeFh4djbGxc4MRwy5Ytw93dPdd1zUOHDsXV1ZU6derg5eXFypUr2bJli8ZfnJmZmfTt25dvvvkm3y+N140aNYqzZ8+ybt26t4olPj6eEiVK0KRJE2VZuXLl3vh1EUIIId61smXLUq5cOZYsWcKFCxfYv39/vt/n+Rk3bhz79u1j+vTpJCYmEh4ezqJFixg/fjzwcuLUAQMG4OPjw9atW7l06RIRERG5JjXLj5WVFc7OzgwaNIjMzEw6depU6Da2trYcP36c3bt3k5iYyOTJk/O8NO9d8vLyonz58nh6enLo0CHlOP38/DSaiC0/urq6TJgwgYCAAFauXElycjJ//PFHvrO/58yz06dPH6Kjo0lOTmb37t0MHDhQLQW7IK1ataJly5Z069aNPXv2cOnSJXbu3MmuXbuUMmXLlqVr1674+/vj4uKidgurgsyfP5+1a9dy/vx5EhMT2bhxI+bm5hgbGxe638Lea/mZMGECR44cwdfXVxn137Ztm9pEaosWLdI4hT/HxYsXmTVrFjExMaSkpHDkyBF69OiBnp4e7du3V8rVqFFDbeT77t27xMbGEhcXB7ycYyk2NlYZMNLE/v37SU1NVeYEEOJj8MaNbkNDwzyvebp69WqhszcWVzkNwsJmcDQ3N6dGjRp06tSJxYsXExoammvWzezsbJYvX06/fv3ynVDiypUr7N27V6Pe25wG7IULF5QYXp8ULee5ubk5Dx8+5Pjx4/j6+lKiRAlKlCjBtGnTOHXqFCVKlMg1w7yvry+//fYbBw4cKPTL4/VYhBBCiI+NlpYW69atIyYmhtq1azNmzBjmzJlTpDrq16/Phg0bWLduHbVr12bKlClMmzZNLXstNDSU7t27M3LkSGrUqMGQIUOKdLsmLy8vTp06RZcuXTRKQR42bBhdu3alV69eNGnShDt37qiNer8PpUuX5uDBg1haWtK1a1ccHBwYNGgQT58+feuR78mTJzNu3DimTJmCg4MDvXr1yvcywEqVKhEVFUVmZiYuLi7UqVOH0aNHY2xsrHb9emE2b95Mo0aN6NOnDzVr1iQgICBXo33QoEE8f/68SCnOZcqUITg4mIYNG9KoUSMuX77Mjh07lNgK2q8m77W8ODo6EhkZSWJiIi1atMDJyYkpU6aoDfbcvn27yNkQurq6HDp0iPbt22NjY0OvXr0oU6YMR44cUcsWTUhIUJvvafv27Tg5OSm3+erduzdOTk4aZXHk0NfXlwa3+OiosnOGd4vIz8+PLVu2MHfuXCWFOCoqCn9/f7p168aCBQveKCBvb2/u37/P6tWrMTExISwsTEkfycjIoFq1aowePZrx48cTERHBp59+yvr165VU8nv37in3luzZs6dS5t69e8osmq8+z/HkyROcnJwwMzMjMjJS43gPHjxIq1atuHTpklpjPWc/Z86cyXcG1MDAQBYvXszVq1cLTYOKioqiefPmnDp1CkdHR3bu3EnHjh1JTU1VPtyWLFmCv78/t27domTJkkovYo4ffviB/fv3s2nTJqpVq4a+vj7Z2dn85z//YcuWLURERGBra1voMb8ey+uSkpKws7NTSy+/c+cOFhYWrFy5ku7du3P//n3Kli3LgQMHaN26daH7BHjw4AFGRkbU/c+PaOu8m2ufhBBCfJxi5vT/0CGIf7Gff/6ZMWPGcP36dblllRD/Yjntk7S0tAI7Gd/4mu65c+eiUqno37+/cm/okiVLMmLECLVbZr0pfX19RowYgb+/PyYmJlhaWiq3sxg0aJBa2WnTplGuXDnMzMz46quvKF++fKH3+r516xZPnz7l4cOHxMTEEBwczO3bt/O9Thlgx44d3Lx5k0aNGmFgYMC5c+fw9/enWbNmuUbHly1bRpMmTfJtcGdlZREWFsaAAQNyNbiTk5NZs2YN7du3p1y5cpw+fZoxY8bQsmVLpZHr4uJCzZo16devH8HBwdy4cYOvv/6aUaNGoaOjA5Br3zmzwL+6fNSoUaxZs4Zt27ZRpkwZJb3HyMgIPT09jWJ5na2tLZ6engwZMoTFixdTpkwZJk6cSOXKlfH09Mz3/AohhBBCFGePHz8mNTWVoKAghg0bJg1uIYRG3ji9vFSpUoSEhHDv3j1lNsOcGcxzGn1vIisrS2mEBgUF0a1bN/r160f9+vW5cOECu3fvpmzZsmrbBAUF8cUXX9CgQQNu3LjBr7/+WuiHoL29PZUqVaJBgwYEBQXRrl07zp49S82aNfPdRk9Pj6VLl9K8eXMcHByUyeR+++03tXJpaWls3rw5V+fAq/bu3UtKSkqeaUmlSpVi7969uLi4UKNGDcaNG0e3bt349ddflTLa2tr89ttvaGtr07RpUz7//HP69++vdi9tTYSGhpKWlkbr1q2pWLGi8li/fr3GseQlLCyMBg0a0LFjR5o2bUp2djY7duzINWOoEEII8W80fPhwtdswvfoYPnz4hw5Pzeu3jHr1kTPZ7b9FcHAwNWrUwNzcnEmTJqmtk/MkhMjPG6eXvy9ubm7Y2NiwaNGiDx2K+MCePXumNgPmgwcPsLCwkPRyIYQQH316+a1bt3jw4EGe6wwNDQu8i8rfLefWsHnR09OjcuXKf3NExZOcJyH+fd5bennXrl0LLVOiRAnMzc357LPP8PDw0Kjee/fuERUVRURERLHr4RUfxqxZs/jmm28+dBhCCCHEO2dqalqsGtYF0fSWUf92cp6EEPkpcnq5kZFRoQ89PT2SkpLo1asXU6ZM0aheHx8fhg8fzrhx4+S6XwHApEmTSEtLUx5Xr1790CEJIYT4h/H29i50HpgcERERqFQq7t+//0b7WrFihcy6LIQQ/0JFHukOCwvTuOxvv/3GyJEjNbrO+NV7+AkBoKOj81bzAwghhBCFCQkJoZhdaVdseXt7Ex4enmt5zZo1OXfunPL8r7/+YsKECezcuZPHjx9jY2NDWFgYDRs2BODRo0dMnDiRrVu3cufOHapVq4afn1+BmY7nzp1jypQpxMTEcOXKFb777jtGjx6tVmbWrFn88ssvnD9/Hj09PZydnZk9ezb29vbv5gQIIcQbeuOJ1DTRvHlz5QNWCCGEEKK4MTIy+sePPmdmZpKVlfXW9YSEhJCamqo8rl69iomJCT169FDK3Lt3j2bNmlGyZEl27txJXFwc8+bNU5sEd+zYsezatYtVq1YRHx/P6NGj8fX1Zfv27fnu+/Hjx1SvXp2goCDMzc3zLBMZGcmoUaP4448/2LNnDxkZGbi4uBTpvuhCCPE+vNdGt7GxcYG34BJCCCGE+JBeTS9/9uwZfn5+yi02mzdvTnR0dK5toqKicHR0RFdXl08++YSzZ88WaZ+7d+/GwcEBAwMD3NzcSE1NVdZlZWUxbdo0qlSpgo6ODvXq1WPXrl3K+rxS3GNjY1GpVFy+fBn4/2ns27dvp2bNmujo6JCSkkJERASNGzdGX18fY2NjmjVrxpUrVzSO28jICHNzc+Vx/Phx7t27x8CBA5Uys2fPxsLCgrCwMBo3bky1atVwcXHB2tpaKXPkyBEGDBhA69atsbKyYujQodStW5c///wz3303atSIOXPm0Lt373yz4Hbt2oW3tze1atWibt26rFixgpSUFGJiYjQ+RiGEeB/ea6NbfPxWrFiBSqVSe+jq6qqV8fb2zlXGzc1NrUxiYiKenp6UL18eQ0NDmjdvzoEDB/7OQxFCCCEKFBAQwObNmwkPD+fEiRPY2Njg6uqaa0Zqf39/5s2bR3R0NBUqVMDDw4OMjAyN9vH48WPmzp3Lzz//zMGDB0lJSWH8+PHK+pCQEObNm8fcuXM5ffo0rq6udOrUiaSkpCIdy+PHj5k9ezY//fQT586dw8TEhM6dO9OqVStOnz7N0aNHGTp0KCqVCoDLly+jUqmIiIjQeB/Lli2jXbt2VK1aVVm2fft2GjZsSI8ePTA1NcXJyYmlS5eqbefs7Mz27dv566+/yM7O5sCBAyQmJuLi4lKkYyxMWloagExuJoT44KTR/S+mabqZoaGhWjpZXr3iOT31OY+1a9eqre/YsSMvXrxg//79xMTEULduXTp27MiNGzfe2fEIIYQQbyo9PZ3Q0FDmzJmDu7s7NWvWZOnSpejp6bFs2TK1slOnTuWzzz6jTp06hIeHc/PmTY3npsnIyODHH3+kYcOG1K9fH19fX/bt26esnzt3LhMmTKB3797Y29sze/Zs6tWrx4IFC4p0PBkZGfzwww84Oztjb2/PixcvSEtLo2PHjlhbW+Pg4MCAAQOwtLQEoGTJktjb21O6dGmN6r9+/To7d+5k8ODBassvXrxIaGgotra27N69mxEjRuDn56d2Lfh///tfatasSZUqVShVqhRubm58//33tGzZskjHWJCsrCxGjx5Ns2bNqF279jurVwgh3oQ0uosZKyurXF+s9erVIzAwkOzsbAIDA7G0tERHR4dKlSrh5+enlHv27Bnjx4+ncuXK6Ovr06RJE7Ue6/zSzQqjUqnU0snMzMxyldHR0VEr8+q1W7dv3yYpKYmJEyfi6OiIra0tQUFBPH78uMgpeUIIIcT7kJycTEZGBs2aNVOWlSxZksaNGxMfH69WtmnTpsrfJiYm2Nvb5yqTn9KlS6ulWlesWJFbt24BL+/3ev36dbUYAJo1a6Zx/TlKlSqFo6OjWpze3t64urri4eGhXJ+do3Llypw/f57GjRtrVH94eDjGxsa5Zn7Pysqifv36zJw5EycnJ4YOHcqQIUP48ccflTL//e9/+eOPP9i+fTsxMTHMmzePUaNGsXfv3iIdY0FGjRrF2bNnWbdu3TurUwgh3pQ0uj8imzdv5rvvvmPx4sUkJSWxdetW6tSpo6z39fXl6NGjrFu3jtOnT9OjRw/c3NzUUtJeTzfT5B6hjx49omrVqlhYWODp6ak2Q2mOiIgITE1Nsbe3Z8SIEdy5c0dZV65cOezt7Vm5ciXp6em8ePGCxYsXY2pqSoMGDd7yrAghhBAfj5IlS6o9V6lURZo9XUvr5U+3V7fJK7VdT09PSR3PERYWxtGjR3F2dmb9+vXY2dnxxx9/FCV8Zd/Lly+nX79+lCpVSm1dxYoVqVmzptoyBwcHpZP/yZMnfPnll8yfPx8PDw8cHR3x9fWlV69ezJ07t8ix5MXX15fffvuNAwcOUKVKlXdSpxBCvA1pdH9EUlJSMDc3p127dlhaWtK4cWOGDBmirAsLC2Pjxo20aNECa2trxo8fT/PmzdVu8/Z6ullhaWT29vYsX76cbdu2sWrVKrKysnB2dubatWtKGTc3N1auXMm+ffuYPXs2kZGRuLu7k5mZCbz8QbF3715OnjxJmTJl0NXVZf78+ezatUttRFwIIYT4UKytrSlVqhRRUVHKsoyMDKKjo3M1Il9tqN67d4/ExEQcHBzeOgZDQ0MqVaqkFgO8nLgtJ4YKFSoAqI1Sx8bGarwPJycnJk2axJEjR6hduzZr1qwpcpyRkZFcuHCBQYMG5VrXrFkzEhIS1JYlJiYq131nZGSQkZGhdB7k0NbWfusZ1rOzs/H19WXLli3s37+fatWqvVV9QgjxrhT5Pt3iw+nRowcLFiygevXquLm50b59ezw8PChRogRnzpwhMzMTOzs7tW2ePXtGuXLllOevp5sVpmnTpmppdM7Ozjg4OLB48WKmT58OQO/evZX1derUwdHREWtrayIiImjbti3Z2dmMGjUKU1NTDh06hJ6eHj/99BMeHh5ER0dTsWLFNz0lQgghxDuhr6/PiBEj8Pf3x8TEBEtLS4KDg3n8+HGuxuW0adMoV64cZmZmfPXVV5QvXz5XmvWb8vf3Z+rUqVhbW1OvXj3CwsKIjY1l9erVANjY2GBhYUFgYCAzZswgMTGRefPmFVrvpUuXWLJkCZ06daJSpUokJCSQlJRE//79gZf31m7bti0rV64sNMV82bJlNGnSJM9rpceMGYOzszMzZ86kZ8+e/PnnnyxZsoQlS5YALzsWWrVqhb+/P3p6elStWpXIyEhWrlzJ/PnzlXr69+9P5cqVmTVrFgDPnz8nLi5O+fuvv/4iNjYWAwMDbGxsgJcp5WvWrGHbtm2UKVNGmTfGyMgIPT29Qs+REEK8L9LoLma0tLRypZnlpI1ZWFiQkJDA3r172bNnDyNHjmTOnDlERkby6NEjtLW1iYmJQVtbW217AwMD5e+80s2KomTJkjg5OXHhwoV8y1SvXp3y5ctz4cIF2rZty/79+/ntt9+4d+8ehoaGAPzwww/s2bOH8PBwJk6c+MbxCCGEEO9KUFAQWVlZ9OvXj4cPH9KwYUN2796dKysrKCiIL774gqSkJOrVq8evv/6aK836Tfn5+ZGWlsa4ceO4desWNWvWZPv27dja2gIvv4fXrl3LiBEjcHR0pFGjRnz77bdq98rOS+nSpTl//jzh4eHcuXOHihUrMmrUKIYNGwa8/K2RkJDA48ePC6wnLS2NzZs3ExISkuf6Ro0asWXLFiZNmsS0adOoVq0aCxYswMvLSymzbt06Jk2ahJeXF3fv3qVq1arMmDGD4cOHK2VSUlLURsOvX7+Ok5OT8nzu3LnMnTuXVq1aKfPXhIaGAtC6dWu1mMLCwvD29i7wuIQQ4n1SZRflQiLx3jVp0oRWrVoRHBwMvJxUxdzcnICAAAIDA9XKJiQkUKNGDWJiYjAwMMDe3p6DBw/SokWLPOtesWIFo0ePVru3Z1FlZmZSq1Yt2rdvr9Yj/apr165haWnJ1q1b6dSpE7/++iudO3cmLS1NrQPA3t6eAQMG8OWXX2q07wcPHmBkZETd//yIto70WAshxL9ZzJz+76SePn36oK2tzapVq95JfUIIIf49ctonaWlpyuBiXuSa7mKmTZs2/Pzzzxw6dIgzZ84wYMAAZeR6xYoVLFu2jLNnz3Lx4kVWrVqlpGbZ2dnh5eVF//79+eWXX7h06RJ//vkns2bN4n//+98bxzNt2jR+//13Ll68yIkTJ/j888+5cuWKcouQR48e4e/vzx9//MHly5fZt28fnp6eyr1N4WWKetmyZRkwYACnTp0iMTERf39/Ll26RIcOHd7+pAkhhBBF9OLFC+Li4jh69Ci1atX60OEIIYT4B5NGdzEzadIkWrVqRceOHenQoQOdO3dWbi1ibGzM0qVLadasGY6Ojuzdu5dff/1VuWY7LCyM/v37M27cOOzt7encuTPR0dHKPTjfxL179xgyZAgODg60b9+eBw8ecOTIEWVCF21tbU6fPk2nTp2ws7Nj0KBBNGjQgEOHDqGjowNA+fLl2bVrF48ePaJNmzY0bNiQw4cPs23bNurWrfuWZ0wIIYQourNnz9KwYUNq1aqlltb8Ntzd3TEwMMjzMXPmzHeyDyGEEB8fSS8XHw1JLxdCCJHjXaWXv0t//fUXT548yXOdiYkJJiYmf3NEQggh3idN08tlIjUhhBBCiHegcuXKHzoEIYQQxZCkl//L5ZcGZ2BgwKFDhz50eEIIIYQQQgjxUZOR7n+52NjYfNcV1x77g9/2KTB9QwghhBBCCCGKC2l0/8vZ2Nh86BCEEEIIIYQQ4h9L0suFEEIIIYQQQoj3RBrdQgghhBBCCCHEeyKNbiGEEEIIIYQQ4j2RRrcQQgghhBBCCPGeSKNbCCGEEEIIIYR4T6TRLYQQQgghhBBCvCfS6BZCCCGEEEIIId4TaXQLIYQQQgghhBDvSYkPHYAQRdXy67Vo6+h96DCEEEIUEzFz+n/oEIQQQoh8yUi3EEIIIYQQQgjxnkijWwghhBBCCCGEeE+k0S2EEEIIUYjLly+jUqmIjY0FICIiApVKxf379z9oXB+rwMBAzMzMUKlUbN26Nc9l3t7edO7cWaP6Xn99hBCiOJFGtxBCCCGE+NvEx8fzzTffsHjxYlJTU3F3d89zWUhICCtWrNCoTgsLC1JTU6ldu/b7DV7kadiwYVhbW6Onp0eFChXw9PTk/PnzBW6TnZ3NlClTqFixInp6erRr146kpCS1MjNmzMDZ2ZnSpUtjbGysUSytW7dGpVIRFBSUa12HDh1QqVQEBgZqemhCvBMfbaNbepg/bjdu3OCzzz5DX19f4w9RIYQQQmgmIyPjQ4eQr+TkZAA8PT0xNzdHR0cnz2VGRkYa/0bQ1tbG3NycEiVkjuC8PH/+/L3W36BBA8LCwoiPj2f37t1kZ2fj4uJCZmZmvtsEBwezcOFCfvzxR44dO4a+vj6urq48ffpULe4ePXowYsSIIsVjYWGRq8Pmr7/+Yt++fVSsWLFIdQnxLhSrRndR0og08XrDPOe5SqVCS0sLIyMjnJycCAgIIDU1tcC67ty5g5ubG5UqVUJHRwcLCwt8fX158OCBWvw59b/6qFWrllLGysoqzzKjRo3Ktc/s7Gzc3d3VUq9y7Nu3D2dnZ8qUKYO5uTkTJkzgxYsXyvqcNKvXH3/88YdaPffv32fUqFFUrFgRHR0d7Ozs2LFjh7I+MzOTyZMnU61aNfT09LC2tmb69OlkZ2cXev4L8t1335GamkpsbCyJiYlvVZcQQgjxtnbt2kXz5s0xNjamXLlydOzYUWkIamrz5s3UqlULHR0drKysmDdvntr6Z8+eMWHCBCwsLNDR0cHGxoZly5YVWGdWVhZVqlQhNDRUbfnJkyfR0tLiypUrAKhUKkJDQ+nUqRP6+vrMmDGDzMxMBg0apHyH29vbExISolZPzm+vmTNnYmZmhrGxMdOmTePFixf4+/tjYmJClSpVCAsL0/g8XL16lZ49e2JsbIyJiQmenp5cvnwZeJlC7uHhAYCWlpYy6vj6sldje/VcBAcHY2Njg46ODpaWlsyYMQPIO7387NmzuLu7Y2BggJmZGf369eP27dvK+tatW+Pn50dAQAAmJiaYm5vnGgG9f/8+w4YNw8zMDF1dXWrXrs1vv/1Geno6hoaGbNq0Sa381q1b0dfX5+HDhwWeo+fPn+Pr60vFihXR1dWlatWqzJo1q9D95ijsvWZlZcX06dPp378/hoaGDB06FIDDhw/TokUL9PT0sLCwwM/Pj/T09AJj1cTQoUNp2bIlVlZW1K9fn2+//ZarV68qr/vrsrOzWbBgAV9//TWenp44OjqycuVKrl+/rvab95tvvmHMmDHUqVOnSPF07NiR27dvExUVpSwLDw/HxcUFU1PTNzlEId5KsWp0/10SEhK4fv060dHRTJgwgb1791K7dm3OnDmT7zZaWlp4enqyfft2EhMTWbFiBXv37mX48OFKmZCQEFJTU5XH1atXMTExoUePHkqZ6OhotTJ79uwBUCuTY8GCBcoXz6tOnTpF+/btcXNz4+TJk6xfv57t27czceLEXGX37t2rtr8GDRoo654/f85nn33G5cuX2bRpEwkJCSxdupTKlSsrZWbPnk1oaCiLFi0iPj6e2bNnExwczH//+99CznLBkpOTadCgAba2tvLhJ4QQ4oNLT09n7NixHD9+nH379qGlpUWXLl3IysrSaPuYmBh69uxJ7969OXPmDIGBgUyePFlttK1///6sXbuWhQsXEh8fz+LFizEwMCiwXi0tLfr06cOaNWvUlq9evZpmzZpRtWpVZVlgYCBdunThzJkz+Pj4KA32jRs3EhcXx5QpU/jyyy/ZsGGDWl379+/n+vXrHDx4kPnz5zN16lQ6duxI2bJlOXbsGMOHD2fYsGFcu3at0POQkZGBq6srZcqU4dChQ0RFRWFgYICbmxvPnz9n/PjxSgM+57dJXsvyMmnSJIKCgpg8eTJxcXGsWbMGMzOzPMvev3+fNm3a4OTkxPHjx9m1axc3b96kZ8+eauXCw8PR19fn2LFjBAcHM23aNOW3WVZWFu7u7kRFRbFq1Sri4uIICgpCW1sbfX19evfunaszIiwsjO7du1OmTJkCz9PChQvZvn07GzZsICEhgdWrV2NlZVXofkGz9xrA3LlzqVu3LidPnmTy5MkkJyfj5uZGt27dOH36NOvXr+fw4cP4+voq2wQGBipxvKn09HTCwsKoVq0aFhYWeZa5dOkSN27coF27dsoyIyMjmjRpwtGjR99q/wClSpXCy8tL7fVZsWIFPj4+b123EG+i2ObgPHv2DH9/f9atW8eDBw9o2LAh3333HY0aNVIrFxUVxaRJk0hMTKRevXr89NNPhV7PY2pqirGxMebm5tjZ2eHp6YmTkxMjRozg8OHDeW5TtmxZtdSWqlWrMnLkSObMmaMsMzIywsjISHm+detW7t27x8CBA5VlFSpUUKs3KCgIa2trWrVqpbY8NjaWefPmcfz48VxpMOvXr8fR0ZEpU6YAYGNjQ3BwMD179mTq1KlqH/TlypXD3Nw8z2Navnw5d+/e5ciRI5QsWRIg1wftkSNH8PT0pEOHDsr6tWvX8ueff+ZZZ47Q0FDmzp3L1atXqVatGl9//TX9+vVT6sjpmV+5ciUDBgzQ+JotIYQQ4n3o1q2b2vPly5dToUIF4uLiNLpOeP78+bRt25bJkycDYGdnR1xcHHPmzMHb25vExEQ2bNjAnj17lIZG9erVNYrNy8uLefPmkZKSgqWlJVlZWaxbt46vv/5arVzfvn3VfnPAy5HCHNWqVePo0aNs2LBBrfFpYmLCwoUL0dLSwt7enuDgYB4/fsyXX34J/P/G7uHDh+ndu3eBsa5fv56srCx++uknZeAgLCwMY2NjIiIicHFxUVLGX/19kteyVz18+JCQkBAWLVrEgAEDALC2tqZ58+Z5ll+0aBFOTk7MnDlTWbZ8+XIsLCxITEzEzs4OAEdHR6ZOnQqAra0tixYtYt++fXz22Wfs3buXP//8k/j4eKX8q6/Z4MGDcXZ2JjU1lYoVK3Lr1i127NjB3r17CzxHACkpKdja2tK8eXNUKpVa50lh+y3svZajTZs2jBs3Ti1eLy8vRo8erRzvwoULadWqFaGhoejq6lK+fHmsra0LjT8vP/zwAwEBAaSnp2Nvb8+ePXsoVapUnmVv3LgBkKvTxMzMTFn3tnx8fGjRogUhISHExMSQlpZGx44d5Xpu8UEU25HugIAANm/eTHh4OCdOnMDGxgZXV1fu3r2rVs7f35958+YRHR1NhQoV8PDwKPJ1THp6egwfPpyoqChu3bql0TbXr1/nl19+ydVYftWyZcto166d2gfpq54/f86qVavw8fFRG9F+/Pgxffv25fvvv8/zy+fZs2fo6urmOoanT58SExOjtrxTp06YmprSvHlztm/frrZu+/btNG3alFGjRmFmZkbt2rWZOXOm2vU3zs7O7Nu3T0kBP3XqFIcPH8bd3T3f496yZQtffPEF48aN4+zZswwbNoyBAwdy4MAB4OVov5ubGz179iQ1NTVXqpsQQgjxd0tKSqJPnz5Ur14dQ0NDpRM6JSVFo+3j4+Np1qyZ2rJmzZqRlJREZmYmsbGxaGtrF/i7IT/16tXDwcFBGe2OjIzk1q1bubLkGjZsmGvb77//ngYNGlChQgUMDAxYsmRJrmOqVasWWlr//yehmZmZWjqvtrY25cqV0+g30qlTp7hw4QJlypTBwMAAAwMDTExMePr0aZHT9V8VHx/Ps2fPaNu2rUblT506xYEDB5QYDAwMqFGjBoBaHI6Ojmrb5TSe4eUASJUqVZSG7+saN25MrVq1CA8PB2DVqlVUrVqVli1bFhqft7c3sbGx2Nvb4+fnx++//66sK2y/hb3Xcrz+fjh16hQrVqxQOyeurq5kZWVx6dIlAHx9fdm3b1++cc+cOVNt+1ffS15eXpw8eZLIyEjs7Ozo2bOn2vXZf7e6detia2vLpk2bWL58Of369ZNr/sUHUywb3enp6YSGhjJnzhzc3d2pWbMmS5cuRU9PL9e1T1OnTuWzzz6jTp06hIeHc/PmTbZs2VLkfeZ8EOd37UmOPn36ULp0aSpXroyhoSE//fRTnuWuX7/Ozp07GTx4cL51bd26lfv376v1SgKMGTMGZ2dnPD0989zO1dWVI0eOsHbtWjIzM/nrr7+YNm0agJKSZWBgwLx589i4cSP/+9//aN68OZ07d1ZreF+8eJFNmzaRmZnJjh07mDx5MvPmzePbb79VykycOJHevXtTo0YNSpYsiZOTE6NHj8bLyyvf45o7dy7e3t6MHDkSOzs7xo4dS9euXZk7dy7wcrRfR0cHPT09zM3N1bIDhBBCiA/Bw8ODu3fvsnTpUo4dO8axY8eAdzcBlZ6e3ltt7+XlpTS616xZg5ubG+XKlVMro6+vr/Z83bp1jB8/nkGDBvH7778TGxvLwIEDcx1TTrZbDpVKlecyTVLtHz16RIMGDYiNjVV7JCYm0rdvX42P93VFPX+PHj3Cw8MjVxxJSUlqjeKCjlOTfQ4ePFjJ1gsLC2PgwIF5Xhr4uvr163Pp0iWmT5/OkydP6NmzJ927d9d4v5p4/f3w6NEjhg0bpnY+Tp06RVJSksaj28OHD1fbvlKlSso6IyMjbG1tadmyJZs2beL8+fP5/ibPGVS6efOm2vKbN2/mm+3wJnx8fPj+++/ZtGmTpJaLD6pYNrqTk5PJyMhQ68UrWbIkjRs3Jj4+Xq1s06ZNlb9NTEywt7fPVUYTORODFfZB+d1333HixAm2bdtGcnIyY8eOzbNceHg4xsbGBU4Mt2zZMtzd3dU+sLZv387+/ftZsGBBvtu5uLgwZ84chg8frkx+1r59ewClp7p8+fKMHTuWJk2a0KhRI4KCgvj888/V0uGzsrIwNTVlyZIlNGjQgF69evHVV1/x448/KmU2bNjA6tWrWbNmDSdOnCA8PJy5c+cqvbp5ya8H9k1eFyGEEOJ9u3PnDgkJCXz99de0bdsWBwcH7t27V6Q6HBwc1CZtgpeXwNnZ2aGtrU2dOnXIysoiMjLyjWLs27cvZ8+eJSYmhk2bNhXY+f3q/p2dnRk5ciROTk7Y2Ni81WizJurXr09SUhKmpqbY2NioPd6mk93W1hY9Pb0CR2Ffj+PcuXNYWVnliuP1xmh+HB0duXbtWoETvn7++edcuXKFhQsXEhcXp6S+a8LQ0JBevXqxdOlS1q9fz+bNm7l7926h+y3svZaf+vXrExcXl+t82NjY5JsG/joTExO17fIbOc7OziY7O5tnz57lub5atWqYm5urvZ4PHjzg2LFjar/t31bfvn05c+YMtWvXpmbNmu+sXiGKqlg2uj+EnAZhYZNHmJubU6NGDTp16sTixYsJDQ3NNeFHdna2ksaS34fYlStX2Lt3b66R8P3795OcnIyxsTElSpRQPsy6detG69atlXJjx47l/v37pKSkcPv2bWVUvKDrw5o0acKFCxeU5xUrVsz1Ae3g4MCNGzeUXnB/f39ltLtOnTr069ePMWPGqM2wKYQQQnzMypYtS7ly5ViyZAkXLlxg//79+Xaq52fcuHHs27eP6dOnk5iYSHh4OIsWLWL8+PHAy98XAwYMwMfHh61bt3Lp0iUiIiJyTWqWHysrK5ydnRk0aBCZmZl06tSp0G1sbW05fvw4u3fvJjExkcmTJxMdHV2k4yoqLy8vypcvj6enJ4cOHVKO08/PT6OJ2PKjq6vLhAkTCAgIYOXKlSQnJ/PHH3/kO/v7qFGjuHv3Ln369CE6Oprk5GR2797NwIEDC7yN1atatWpFy5Yt6datG3v27OHSpUvs3LmTXbt2KWXKli1L165d8ff3x8XFhSpVqmhU9/z581m7di3nz58nMTGRjRs3Ym5ujrGxcaH7Ley9lp8JEyZw5MgRfH19lVH/bdu2qU2ktmjRIo1T+HNcvHiRWbNmERMTQ0pKCkeOHKFHjx7o6ekpg0LwMqs0Z+RbpVIxevRovv32W7Zv386ZM2fo378/lSpVUhuwSklJITY2lpSUFOUyjdjYWB49eqRRbGXLliU1NVXjzhoh3pdi2ei2tramVKlSar14GRkZREdH5+qlevUWWPfu3SMxMREHB4ci7e/JkycsWbKEli1b5prorCA56Uev9+JFRkZy4cIFBg0alO+2YWFhmJqaKhOU5Zg4cSKnT59WS92BlyPsr8+QqVKpqFSpEnp6eqxduxYLCwvq16+f7z5jY2PVJmVr1qwZFy5cUEsXS0xMpGLFikpnwePHj9Wu84KX13YVlGKWXw+s9DAKIYQojrS0tFi3bh0xMTHUrl2bMWPGqGWGaaJ+/fps2LCBdevWUbt2baZMmcK0adPULiELDQ2le/fujBw5kho1ajBkyJAi3a7Jy8uLU6dO0aVLF41SkIcNG0bXrl3p1asXTZo04c6dO4wcObJIx1VUpUuX5uDBg1haWtK1a1ccHBwYNGgQT58+xdDQ8K3qnjx5MuPGjWPKlCk4ODjQq1evfK8zr1SpElFRUWRmZuLi4kKdOnUYPXo0xsbGuX7XFGTz5s00atSIPn36ULNmTQICAnI12gcNGsTz58+LlL5cpkwZgoODadiwIY0aNeLy5cvs2LFDia2g/WryXsuLo6MjkZGRJCYm0qJFC5ycnJgyZYpaxuXt27eLnA2hq6vLoUOHaN++PTY2NvTq1YsyZcpw5MgRtTvUJCQkkJaWpjwPCAjgP//5D0OHDqVRo0Y8evSIXbt2qc1bNGXKFJycnJg6dSqPHj3CyclJmZFeU8bGxhpnNwjxvqiy3/aGy++Qt7c39+/fZ+vWrYwePZqNGzeybNkyLC0tCQ4OZvv27SQnJ1O2bFkiIiL49NNPqVWrFiEhIZiZmfHVV18pPXelSpVSyty7d0+ZNfPTTz8lISEBQ0NDHj58SExMDMHBwaSkpHDw4MF8G4Y7duzg5s2bNGrUCAMDA86dO6fcv/L1Gc/79etHUlJSrnti58jKyqJatWr06dOHoKCgQs+LSqViy5Ytaj1/c+bMwc3NDS0tLX755RemT5/Ohg0blDLh4eGUKlUKJycnAH755RcmT57MTz/9pMxsevXqVWrVqsWAAQP4z3/+Q1JSEj4+Pvj5+fHVV18pr8nevXtZvHgxtWrV4uTJkwwdOhQfHx9mz56dZ7xbt26lZ8+ehISE0K5dO3799VcCAgLYu3evMlrfuXNnjI2NizRr+YMHDzAyMqLuf35EW+fdXO8khBDi4xczp/+HDkH8i/3888+MGTOG69eva5ymLYT4Z8hpn6SlpRXYsVispvDLyspS0qmDgoLIysqiX79+PHz4kIYNG7J7927Kli2rtk1QUBBffPEFSUlJ1KtXj19//bXQDzx7e3tUKhUGBgZUr14dFxcXxo4dW+DEDXp6eixdupQxY8bw7NkzLCws6Nq1a657Y6elpbF58+YCZ+Teu3cvKSkpbzWhw86dO5kxYwbPnj2jbt26bNu2LdeM4tOnT+fKlSuUKFGCGjVqsH79emWSDgALCwt2797NmDFjcHR0pHLlynzxxRdMmDBBKfPf//6XyZMnM3LkSG7dukWlSpUYNmyYcruyvHTu3JmQkBDmzp3LF198QbVq1QgLC1NLjxdCCCGE+Jg9fvyY1NRUgoKCGDZsmDS4hRD5KlYj3W5ubtjY2LBo0aIPHYoohmSkWwghRF4+9pHu4cOHs2rVqjzXff7552oTnH5oM2fOVLv39atatGjBzp07/+aIPpzAwEBmzJhBy5Yt2bZtGwYGBso6OU9C/DtoOtJdLBrd9+7dIyoqiu7du7Nu3boCZ/wW/x7Pnj1Tu17+wYMHWFhYSKNbCCGEmo+90X3r1i0ePHiQ5zpDQ0O162I/tLt373L37t081+np6VG5cuW/OaLiSc6TEP8OH1V6uY+PD9HR0YwbNy7fe1OLf59Zs2bxzTfffOgwhBBCiPfK1NS0WDWsC2JiYoKJicmHDqPYk/MkhHhVsZi9fMuWLVy7do0ZM2YUep9s8e8xadIk0tLSlMfVq1c/dEhCCCH+wby9vTXOtouIiEClUnH//v032teKFSswNjZ+o22FEEJ8XIpFo1uIvOjo6GBoaKj2EEIIId6XkJCQIt1V49/M29sblUqV61GrVq08ywcFBSn3Zn5V69atc9UxfPjwAvd98+ZNvL29qVSpEqVLl8bNzY2kpCS1MsOGDcPa2ho9PT0qVKiAp6cn58+ff6tjFkKINyWNbiGEEEIIwMjI6B8/+pyZmUlWVtZb1xMSEkJqaqryuHr1KiYmJvTo0SNX2ejoaBYvXoyjo2OedQ0ZMkStruDg4Hz3m52dTefOnbl48SLbtm3j5MmTVK1alXbt2qnd87xBgwaEhYURHx/P7t27yc7OxsXFJdc9toUQ4u8gjW4hhBBCCNTTy589e4afnx+mpqbo6urSvHlzoqOjc20TFRWFo6Mjurq6fPLJJ5w9e7ZI+9y9ezcODg4YGBjg5uZGamqqsi4rK4tp06ZRpUoVdHR0qFevHrt27VLW55XiHhsbi0ql4vLly8D/T2Pfvn07NWvWREdHh5SUFCIiImjcuDH6+voYGxvTrFkzrly5onHcRkZGmJubK4/jx49z7949Bg4cqFbu0aNHeHl5sXTp0ly3fc1RunRptboKymxLSkrijz/+IDQ0lEaNGmFvb09oaChPnjxh7dq1SrmhQ4fSsmVLrKysqF+/Pt9++y1Xr15VzosQQvydpNEtCrRixYpcaV+6urpqZfJKMXNzc1Mrk5iYiKenJ+XLl8fQ0JDmzZtz4MCBv/NQhBBCCI0FBASwefNmwsPDOXHiBDY2Nri6uuaakdrf35958+YRHR1NhQoV8PDwICMjQ6N9PH78mLlz5/Lzzz9z8OBBUlJSGD9+vLI+JCSEefPmMXfuXE6fPo2rqyudOnXKlUqtyX5mz57NTz/9xLlz5zAxMaFz5860atWK06dPc/ToUYYOHarMq3P58mVUKhUREREa72PZsmW0a9eOqlWrqi0fNWoUHTp0oF27dvluu3r1asqXL0/t2rWZNGkSjx8/zrdszl1NXv0toqWlhY6ODocPH85zm/T0dMLCwqhWrRoWFhYaH5MQQrwr0uj+F9M0xczQ0FAt7SuvnvCc3vmcx6u9zQAdO3bkxYsX7N+/n5iYGOrWrUvHjh25cePGOzseIYQQ4l1IT08nNDSUOXPm4O7uTs2aNVm6dCl6enosW7ZMrezUqVP57LPPqFOnDuHh4dy8eZMtW7ZotJ+MjAx+/PFHGjZsSP369fH19WXfvn3K+rlz5zJhwgR69+6Nvb09s2fPpl69eixYsKBIx5ORkcEPP/yAs7Mz9vb2vHjxgrS0NDp27Ii1tTUODg4MGDAAS0tLAEqWLIm9vT2lS5fWqP7r16+zc+dOBg8erLZ83bp1nDhxglmzZuW7bd++fVm1ahUHDhxg0qRJ/Pzzz3z++ef5lq9RowaWlpZMmjSJe/fu8fz5c2bPns21a9fUsgQAfvjhBwwMDDAwMGDnzp3s2bOHUqVKaXRMQgjxLkmju5ixsrLK9WVar149AgMDyc7OJjAwEEtLS3R0dKhUqRJ+fn5KuWfPnjF+/HgqV66Mvr4+TZo0Ueulzi/FrDAqlUot7cvMzCxXGR0dHbUyr6aQ3b59m6SkJCZOnIijoyO2trYEBQXx+PHjIqfhCSGEEO9bcnIyGRkZNGvWTFlWsmRJGjduTHx8vFrZpk2bKn+bmJhgb2+fq0x+SpcujbW1tfK8YsWK3Lp1C3h579fr16+rxQDQrFkzjevPUapUKbXrqU1MTPD29sbV1RUPDw/l+uwclStX5vz58zRu3Fij+sPDwzE2Nlab+f3q1at88cUXrF69OleG3KuGDh2Kq6srderUwcvLi5UrV7JlyxaSk5PzLF+yZEl++eUXEhMTMTExoXTp0hw4cAB3d3e0tNR/1np5eXHy5EkiIyOxs7OjZ8+ePH36VKNjEkKId0ka3R+RzZs3891337F48WKSkpLYunUrderUUdb7+vpy9OhR1q1bx+nTp+nRo0euGT1fTzHT5L6gjx49omrVqlhYWODp6cm5c+dylYmIiMDU1BR7e3tGjBjBnTt3lHXlypXD3t6elStXkp6ezosXL1i8eDGmpqY0aNDgLc+KEEII8XEqWbKk2nOVSkV2drbG2+c0Ml/dJq/Udj09vVy3ZA0LC+Po0aM4Ozuzfv167Ozs+OOPP4oSvrLv5cuX069fP7VR5JiYGG7dukX9+vUpUaIEJUqUIDIykoULF1KiRIl8JzRr0qQJABcuXMh3nw0aNCA2Npb79++TmprKrl27uHPnDtWrV1crZ2RkhK2tLS1btmTTpk2cP39e4ywEIYR4l6TR/RFJSUnB3Nycdu3aYWlpSePGjRkyZIiyLiwsjI0bN9KiRQusra0ZP348zZs3JywsTKnj9RSzwlLH7O3tWb58Odu2bWPVqlVkZWXh7OzMtWvXlDJubm6sXLmSffv2MXv2bCIjI3F3d1e+UFUqFXv37uXkyZOUKVMGXV1d5s+fz65du/KdVEUIIYT4UKytrSlVqhRRUVHKsoyMDKKjo6lZs6Za2Vcbqvfu3SMxMREHB4e3jsHQ0JBKlSqpxQAvJ27LiaFChQoAaqPUsbGxGu/DycmJSZMmceTIEWrXrs2aNWuKHGdkZCQXLlxg0KBBasvbtm3LmTNniI2NVR4NGzbEy8uL2NhYtLW186wvJ/6KFSsWum8jIyMqVKhAUlISx48fx9PTM9+y2dnZZGdnK9eECyHE36nEhw5AaK5Hjx4sWLCA6tWr4+bmRvv27fHw8KBEiRKcOXOGzMxM7Ozs1LZ59uwZ5cqVU56/nmJWmKZNm6qlzjk7O+Pg4MDixYuZPn06AL1791bW16lTB0dHR6ytrYmIiKBt27ZkZ2czatQoTE1NOXToEHp6evz00094eHgQHR2t0RerEEII8XfR19dnxIgR+Pv7Y2JigqWlJcHBwTx+/DhX43LatGmUK1cOMzMzvvrqK8qXL6+WZv02/P39mTp1KtbW1tSrV4+wsDBiY2NZvXo1ADY2NlhYWBAYGMiMGTNITExk3rx5hdZ76dIllixZQqdOnahUqRIJCQkkJSXRv39/AP766y/atm3LypUrC00xX7ZsGU2aNKF27dpqy8uUKZNrmb6+PuXKlVOWJycns2bNGtq3b0+5cuU4ffo0Y8aMoWXLlmq/VWrUqMGsWbPo0qULABs3bqRChQpYWlpy5swZvvjiCzp37oyLiwsAFy9eZP369bi4uFChQgWuXbtGUFAQenp6tG/fvtDzI4QQ75o0uosZLS2tXKllOaliFhYWJCQksHfvXvbs2cPIkSOZM2cOkZGRPHr0CG1tbWJiYnL1HhsYGCh/55ViVhQlS5bEycmpwLSv6tWrU758eS5cuEDbtm3Zv38/v/32G/fu3VNuA/LDDz+wZ88ewsPDmThx4hvHI4QQQrwPQUFBZGVl0a9fPx4+fEjDhg3ZvXt3rgytoKAgvvjiC5KSkqhXrx6//vrrO5usy8/Pj7S0NMaNG8etW7eoWbMm27dvx9bWFnj5nbx27VpGjBiBo6MjjRo14ttvv83zXtmvKl26NOfPnyc8PJw7d+5QsWJFRo0axbBhw4CXvzsSEhIKnEUcIC0tjc2bNxMSEvJGx1eqVCn27t3LggULSE9Px8LCgm7duvH111+rlUtISCAtLU15npqaytixY7l58yYVK1akf//+TJ48WVmvq6vLoUOHWLBgAffu3cPMzIyWLVty5MgRjS6rE0KId02VXZSLh8R716RJE1q1akVwcDDwciIVc3NzAgICCAwMVCubkJBAjRo1iImJwcDAAHt7ew4ePEiLFi3yrHvFihWMHj1a7X6eRZWZmUmtWrVo37498+fPz7PMtWvXsLS0ZOvWrXTq1Ilff/2Vzp07k5aWptYBYG9vz4ABA/jyyy812veDBw8wMjKi7n9+RFtH742PQQghxD9LzJz+76SePn36oK2tzapVq95JfUIIIf7ZctonaWlpyuBiXuSa7mKmTZs2/Pzzzxw6dIgzZ84wYMAAZeR6xYoVLFu2jLNnz3Lx4kVWrVqFnp4eVatWxc7ODi8vL/r3788vv/zCpUuX+PPPP5k1axb/+9//3jieadOm8fvvv3Px4kVOnDjB559/zpUrV5Tbgjx69Ah/f3/++OMPLl++zL59+/D09FTuZwovU9TLli3LgAEDOHXqFImJifj7+3Pp0iU6dOjw9idNCCGEeAsvXrwgLi6Oo0ePUqtWrQ8djhBCiH8YaXQXM5MmTaJVq1Z07NiRDh060LlzZ+V2IsbGxixdupRmzZrh6OjI3r17+fXXX5VrtsPCwujfvz/jxo3D3t6ezp07Ex0drdx3803cu3ePIUOG4ODgQPv27Xnw4AFHjhxRJnHR1tbm9OnTdOrUCTs7OwYNGkSDBg04dOgQOjo6AJQvX55du3bx6NEj2rRpQ8OGDTl8+DDbtm2jbt26b3nGhBBCiLdz9uxZGjZsSK1atRg+fPg7qdPd3V25R/Trj5kzZ76TfQghhPg4SHq5+GhIerkQQoi8vKv08nfpr7/+4smTJ3muMzExwcTE5G+OSAghxLumaXq5TKQmhBBCCPGOVa5c+UOHIIQQopiQ9PJ/ufxS3wwMDDh06NCHDk8IIYQQQgghPmoy0v0vFxsbm++64tpLf/DbPgWmbwghhBBCCCFEcSGN7n85GxubDx2CEEIIIYQQQvxjSXq5EEIIIYQQQgjxnkijWwghhBBCCCGEeE+k0S2EEEIIIYQQQrwn0ugWQgghhBBCCCHeE2l0CyGEEEIIIYQQ74k0uoUQQgghhBBCiPdEGt1CCCGEEEIIIcR7IvfpFh+dll+vRVtH70OHIYQQopiImdP/Q4cghBBC5EtGuoUQQgghhBBCiPdEGt1CCCGEEEIIIcR7Io1uIYQQQggNXL58GZVKRWxsLAARERGoVCru37//QeP6WAUGBmJmZoZKpWLr1q15LvP29qZz584a1ff66yOEEMWFNLqFEEIIIcTfKj4+nm+++YbFixeTmpqKu7t7nstCQkJYsWKFRnVaWFiQmppK7dq132/wIk/Dhg3D2toaPT09KlSogKenJ+fPny9wm9atW6NSqQgKCsq1rkOHDqhUKgIDA99TxEL8faTRLYQQQgjxD5SRkfGhQ8hXcnIyAJ6enpibm6Ojo5PnMiMjI4yNjTWqU1tbG3Nzc0qUkHmC8/L8+fP3Wn+DBg0ICwsjPj6e3bt3k52djYuLC5mZmQVuZ2Fhkatj5a+//mLfvn1UrFjxPUYsxN/no210S0rXxy0qKoo6depQsmRJjdPGhBBCiPdp165dNG/eHGNjY8qVK0fHjh2VhqCmNm/eTK1atdDR0cHKyop58+aprX/27BkTJkzAwsICHR0dbGxsWLZsWYF1ZmVlUaVKFUJDQ9WWnzx5Ei0tLa5cuQKASqUiNDSUTp06oa+vz4wZM8jMzGTQoEFUq1YNPT097O3tCQkJUasnJ4V75syZmJmZYWxszLRp03jx4gX+/v6YmJhQpUoVwsLCND4PV69epWfPnhgbG2NiYoKnpyeXL18GXqaQe3h4AKClpaWMZr6+7NXYXj0XwcHB2NjYoKOjg6WlJTNmzADyTi8/e/Ys7u7uGBgYYGZmRr9+/bh9+7ayvnXr1vj5+REQEICJiQnm5ua5Rlbv37/PsGHDMDMzQ1dXl9q1a/Pbb7+Rnp6OoaEhmzZtUiu/detW9PX1efjwYYHn6Pnz5/j6+lKxYkV0dXWpWrUqs2bNKnS/OQp7r1lZWTF9+nT69++PoaEhQ4cOBeDw4cO0aNECPT09LCws8PPzIz09vcBYNTF06FBatmyJlZUV9evX59tvv+Xq1avK656fjh07cvv2baKiopRl4eHhuLi4YGpq+tZxCVEcFKtGd1Gu29HE6w3znOcqlQotLS2MjIxwcnIiICCA1NTUAus6deoUffr0wcLCAj09PRwcHHJ9ab0qKiqKEiVKUK9ePbXloaGhODo6YmhoiKGhIU2bNmXnzp3K+pwvjLweGzduzLWfO3fuUKVKlQI7IPKLBV72JH7++eeUK1cOPT096tSpw/Hjx4GXPeQTJkygTp066OvrU6lSJfr378/169cLPFeaGDt2LPXq1ePSpUsap40JIYQQ71N6ejpjx47l+PHj7Nu3Dy0tLbp06UJWVpZG28fExNCzZ0969+7NmTNnCAwMZPLkyWrfc/3792ft2rUsXLiQ+Ph4Fi9ejIGBQYH1amlp0adPH9asWaO2fPXq1TRr1oyqVasqywIDA+nSpQtnzpzBx8dHabBv3LiRuLg4pkyZwpdffsmGDRvU6tq/fz/Xr1/n4MGDzJ8/n6lTp9KxY0fKli3LsWPHGD58OMOGDePatWuFnoeMjAxcXV0pU6YMhw4dIioqCgMDA9zc3Hj+/Dnjx49XGvCpqamkpqbmuSwvkyZNIigoiMmTJxMXF8eaNWswMzPLs+z9+/dp06YNTk5OHD9+nF27dnHz5k169uypVi48PBx9fX2OHTtGcHAw06ZNY8+ePcDLRr67uztRUVGsWrWKuLg4goKC0NbWRl9fn969e+fqjAgLC6N79+6UKVOmwPO0cOFCtm/fzoYNG0hISGD16tVYWVkVul/Q7L0GMHfuXOrWrcvJkyeZPHkyycnJuLm50a1bN06fPs369es5fPgwvr6+yjaBgYFKHG8qPT2dsLAwqlWrhoWFRYFlS5UqhZeXl9p5XLFiBT4+Pm8VgxDFyb8y/yYhIQFDQ0MePHjAiRMnCA4OZtmyZURERFCnTp08t4mJicHU1JRVq1ZhYWHBkSNHGDp0KNra2mofVPDyQ75///60bduWmzdvqq2rUqUKQUFB2Nrakp2dTXh4OJ6enpw8eZJatWop1yO9asmSJcyZMwd3d/dccQ0aNAhHR0f++uuvPOMuKJZ79+7RrFkzPv30U3bu3EmFChVISkqibNmyADx+/JgTJ04wefJk6taty7179/jiiy/o1KmT0jB/U8nJyQwfPpwqVaq8VT1CCCHEu9KtWze158uXL6dChQrExcVpdJ3w/Pnzadu2LZMnTwbAzs6OuLg45syZg7e3N4mJiWzYsIE9e/bQrl07AKpXr65RbF5eXsybN4+UlBQsLS3Jyspi3bp1fP3112rl+vbty8CBA9WWffPNN8rf1apV4+jRo2zYsEGt8WliYsLChQvR0tLC3t6e4OBgHj9+zJdffgn8/8bu4cOH6d27d4Gxrl+/nqysLH766SdlxDosLAxjY2MiIiJwcXFRUsbNzc2V7fJa9qqHDx8SEhLCokWLGDBgAADW1tY0b948z/KLFi3CycmJmTNnKsuWL1+OhYUFiYmJ2NnZAeDo6MjUqVMBsLW1ZdGiRezbt4/PPvuMvXv38ueffxIfH6+Uf/U1Gzx4MM7OzqSmplKxYkVu3brFjh072Lt3b4HnCCAlJQVbW1uaN2+OSqVS6zwpbL+FvddytGnThnHjxqnF6+XlxejRo5XjXbhwIa1atSI0NBRdXV3Kly+PtbV1ofHn5YcffiAgIID09HTs7e3Zs2cPpUqVKnQ7Hx8fWrRoQUhICDExMaSlpdGxY0e5nlv8YxSrke5XPXv2DD8/P0xNTdHV1aV58+ZER0fnKhcVFYWjoyO6urp88sknnD17ttC6TU1NMTc3x87Ojt69exMVFUWFChUYMWJEvtv4+PgQEhJCq1atqF69Op9//jkDBw7kl19+yVV2+PDh9O3bl6ZNm+Za5+HhQfv27bG1tcXOzo4ZM2ZgYGDAH3/8Afz/65FefWzZsoWePXvm6gkPDQ3l/v37jB8/Pt+4C4pl9uzZWFhYEBYWRuPGjalWrRouLi7KB62RkRF79uyhZ8+e2Nvb88knn7Bo0SJiYmJISUnJd58FvXY5I/l37tzBx8cHlUolI91CCCGKhaSkJPr06UP16tUxNDRURvsK+s57VXx8PM2aNVNb1qxZM5KSksjMzCQ2NhZtbW1atWpV5Njq1auHg4ODMtodGRnJrVu36NGjh1q5hg0b5tr2+++/p0GDBlSoUAEDAwOWLFmS65hq1aqFltb//1loZmamNhChra1NuXLluHXrVqGxnjp1igsXLlCmTBkMDAwwMDDAxMSEp0+fFjld/1Xx8fE8e/aMtm3balT+1KlTHDhwQInBwMCAGjVqAKjF4ejoqLZdTuMZIDY2lipVqigN39c1btyYWrVqER4eDsCqVauoWrUqLVu2LDQ+b29vYmNjsbe3x8/Pj99//11ZV9h+C3uv5Xj9/XDq1ClWrFihdk5cXV3Jysri0qVLAPj6+rJv37584545c6ba9q++l7y8vDh58iSRkZHY2dnRs2dPnj59Wui5qFu3Lra2tmzatInly5fTr18/uTZf/KMU20Z3QEAAmzdvJjw8nBMnTmBjY4Orqyt3795VK+fv78+8efOIjo6mQoUKeHh4FHniED09PYYPH05UVJRGXyY50tLSMDExUVsWFhbGxYsXlR7TgmRmZrJu3TrS09PzbBTDyxH22NhYBg0apLY8Li6OadOmsXLlSrUvyaLEsn37dho2bEiPHj0wNTXFycmJpUuXFhhzWloaKpWqwElNCnrtckbyDQ0NWbBgAampqfTq1avAfQohhBB/Bw8PD+7evcvSpUs5duwYx44dA97dBFR6enpvtb2Xl5fS6F6zZg1ubm6UK1dOrYy+vr7a83Xr1jF+/HgGDRrE77//TmxsLAMHDsx1TCVLllR7rlKp8lymSar9o0ePaNCgAbGxsWqPxMRE+vbtq/Hxvq6o5+/Ro0d4eHjkiiMpKUmtUVzQcWqyz8GDBysDCGFhYQwcOFAZ4S9I/fr1uXTpEtOnT+fJkyf07NmT7t27a7xfTbz+fnj06BHDhg1TOx+nTp0iKSlJ49Ht4cOHq21fqVIlZZ2RkRG2tra0bNmSTZs2cf78ebZs2aJRvT4+Pnz//fds2rRJUsvFP06xbHSnp6cTGhqqpFTXrFmTpUuXoqenl2uykalTp/LZZ59Rp04dwsPDuXnzpsb/3K/K6fksbLKHHEeOHGH9+vXKpBTwsod84sSJrFq1qsDeuTNnzmBgYICOjg7Dhw9ny5Yt1KxZM8+yy5Ytw8HBAWdnZ2XZs2fP6NOnD3PmzMHS0jLP7TSJ5eLFi4SGhmJra8vu3bsZMWIEfn5+Sm/t654+fcqECRPo06cPhoaGeZYp7LXLGclXqVQYGRlhbm7+zr5YhBBCiDd1584dEhIS+Prrr2nbti0ODg7cu3evSHU4ODioTQYFLzPy7Ozs0NbWpk6dOmRlZREZGflGMfbt25ezZ88SExPDpk2b8PLyKnSbqKgonJ2dGTlyJE5OTtjY2LzVaLMm6tevT1JSEqamptjY2Kg9jIyM3rheW1tb9PT0ChyFfT2Oc+fOYWVllSuO1xuj+XF0dOTatWskJibmW+bzzz/nypUrLFy4kLi4OCX1XROGhob06tWLpUuXsn79ejZv3szdu3cL3W9h77X81K9fn7i4uFznw8bGRqM0cHh5KcKr2+X3OzM7O5vs7GyePXumUb19+/blzJkz1K5dO9/fxUJ8rIplozs5OZmMjAy1tJmSJUvSuHFj4uPj1cq+OkJsYmKCvb19rjKayM7OBtCoZ/Ls2bN4enoydepUXFxcgJej1n379uWbb77JNxUoh729PbGxsRw7dowRI0YwYMAA4uLicpV78uQJa9asyTXKPWnSJBwcHPj888/zrF/TWLKysqhfvz4zZ87EycmJoUOHMmTIEH788cdcZTMyMujZsyfZ2dm5Zk99VVFeOyGEEKK4KFu2LOXKlWPJkiVcuHCB/fv3M3bs2CLVMW7cOPbt28f06dNJTEwkPDycRYsWKZeBWVlZMWDAAHx8fNi6dSuXLl0iIiIi16Rm+bGyssLZ2ZlBgwaRmZlJp06dCt3G1taW48ePs3v3bhITE5k8eXKel+u9S15eXpQvXx5PT08OHTqkHKefn59GE7HlR1dXlwkTJhAQEMDKlStJTk7mjz/+yHf291GjRnH37l369OlDdHQ0ycnJ7N69m4EDBxZ6G6scrVq1omXLlnTr1o09e/Zw6dIldu7cya5du5QyZcuWpWvXrvj7++Pi4qLxfDXz589n7dq1nD9/nsTERDZu3Ii5uTnGxsaF7rew91p+JkyYwJEjR/D19VVG/bdt26Y2P9GiRYs0TuHPcfHiRWbNmqVcgnjkyBF69OiBnp4e7du316iOsmXLkpqaqnGnihAfk2LZ6P4QchqEhc3WGBcXR9u2bRk6dKja5CUPHz7k+PHj+Pr6UqJECUqUKMG0adM4deoUJUqUYP/+/UrZUqVKYWNjQ4MGDZg1axZ169bNcyb0TZs28fjxY/r376+2fP/+/WzcuFHZT84HY/ny5Zk6darGsVSsWDFXT6KDg0Ou67xyGtxXrlxhz549+Y5yCyGEEB8rLS0t1q1bR0xMDLVr12bMmDHMmTOnSHXUr1+fDRs2sG7dOmrXrs2UKVOYNm2a2sRWoaGhdO/enZEjR1KjRg2GDBlSpNs1eXl5cerUKbp06aJRptiwYcPo2rUrvXr1okmTJty5c4eRI0cW6biKqnTp0hw8eBBLS0u6du2Kg4MDgwYN4unTp2/9G2Ly5MmMGzeOKVOm4ODgQK9evfK9NLBSpUpERUWRmZmJi4sLderUYfTo0RgbG+d7aV5eNm/eTKNGjejTpw81a9YkICAgV6N90KBBPH/+vEhp0WXKlCE4OJiGDRvSqFEjLl++zI4dO5TYCtqvJu+1vDg6OhIZGUliYiItWrTAycmJKVOmqKWI3759u8jZELq6uhw6dIj27dtjY2NDr169KFOmDEeOHCnSbb+MjY01zkIQ4mOiys4Z4i0GvL29uX//PqtXr8bExISwsDDl2p+MjAyqVavG6NGjGT9+PBEREXz66aesX79emX3z3r17yn0ke/bsqZS5d++eMmPmq89zPHnyBCcnJ8zMzApM+Tp37hxt2rRhwIABBAcHq63LysrKNVr9ww8/sH//fjZt2kS1atXy/RBp06YNlpaWuSYUa926NeXLl891/8fk5GSePHmiPI+OjsbHx4cjR45gbW1N+fLlNYqlb9++XL16lUOHDinlxowZw7Fjxzhy5Ihy3nv27ElSUhIHDhygQoUK+Z4feJleXthrBy8/VBcsWFDol8OrHjx4gJGREXX/8yPaOpKSLoQQ4qWYOf0LLyTEe/Tzzz8zZswYrl+/rnGathDi45fTPklLSyuwU7FYTguor6/PiBEj8Pf3x8TEBEtLS+XWFa+nWk+bNo1y5cphZmbGV199Rfny5Qu91/etW7d4+vQpDx8+JCYmhuDgYG7fvp3nTOQ5zp49S5s2bXB1dWXs2LHcuHEDeDmbZ4UKFdDS0sp1O5Gc2btfXT5p0iTc3d2xtLTk4cOHrFmzhoiICHbv3q227YULFzh48CA7duzIFcvrE13cvn0beDlKndOZoEksY8aMwdnZmZkzZ9KzZ0/+/PNPlixZwpIlS4CXjeXu3btz4sQJfvvtNzIzM5XjNjExyfNLpSivnRBCCCHEx+zx48ekpqYSFBTEsGHDpMEthMhTsUovz8rKUiZjCAoKolu3bvTr14/69etz4cIFdu/erdxDOkdQUBBffPEFDRo04MaNG/z666+FfuDZ29tTqVIlGjRoQFBQEO3atePs2bMFTtqwadMm/u///o9Vq1ZRsWJF5dGoUaMiHeOtW7fo378/9vb2tG3blujoaHbv3s1nn32mVm758uVUqVJFuWb8fWjUqBFbtmxh7dq11K5dm+nTp7NgwQJlYpa//vqL7du3c+3aNerVq6d23Dkj4XnR9LUTQgghxEvDhw9Xuw3Tq4/hw4d/6PDUvH7LqFcf7u7uHzq8v1VwcDA1atTA3NycSZMmqa2T8ySEyFGs0svd3NywsbFh0aJFHzoUUQw8e/ZMbcbLBw8eYGFhIenlQggh1PwT0stv3brFgwcP8lxnaGhYpOti37e7d+/muoVrDj09PSpXrvw3R1Q8yXkS4p/vo0ovv3fvHlFRUURERBS73lzx4cyaNYtvvvnmQ4chhBBCvHempqbFqmFdEBMTE0xMTD50GMWenCchRI5ikV7u4+PD8OHDGTduHJ6enh86HFFMTJo0ibS0NOVx9erVDx2SEEKIfzBvb+9C54XJERERgUql4v79+2+0rxUrVqhN6iqEEOKfq1g0urds2cK1a9eYMWOGRvfJFv8OOjo6GBoaqj2EEEKI9yUkJCTXnURE3lJTU+nbty92dnZoaWkxevRojbZLSUmhQ4cOlC5dGlNTU/z9/Xnx4oVamdWrV1O3bl1Kly5NxYoV8fHx4c6dO8r6pUuX0qJFC8qWLUvZsmVp164df/7557s8PCGEeKeKRaNbCCGEEOJDMzIy+sePPmdmZpKVlfXW9Tx79owKFSrw9ddfU7duXY333aFDB54/f86RI0cIDw9nxYoVTJkyRSkTFRVF//79GTRoEOfOnWPjxo38+eefDBkyRCkTERFBnz59OHDgAEePHsXCwgIXFxf++uuvtz4uIYR4H6TRLYQQQgiBenr5s2fP8PPzU2652bx5c6Kjo3NtExUVhaOjI7q6unzyySecPXu2SPvcvXs3Dg4OGBgY4ObmRmpqqrIuKyuLadOmUaVKFXR0dKhXrx67du1S1ueV4h4bG4tKpeLy5cvA/09j3759OzVr1kRHR4eUlBQiIiJo3Lgx+vr6GBsb06xZM65cuaJx3FZWVoSEhNC/f3+MjIw02ub3338nLi6OVatWUa9ePdzd3Zk+fTrff/89z58/B+Do0aNYWVnh5+dHtWrVaN68OcOGDVMbyV69ejUjR46kXr161KhRg59++omsrCz27duncfxCCPF3kka30Ni6detQqVR5Xu8WHx9Pp06dMDIyQl9fn0aNGpGSkqJW5ujRo7Rp0wZ9fX0MDQ1p2bIlT548+ZuiF0IIITQXEBDA5s2bCQ8P58SJE9jY2ODq6pprNmp/f3/mzZtHdHQ0FSpUwMPDg4yMDI328fjxY+bOncvPP//MwYMHSUlJYfz48cr6kJAQ5s2bx9y5czl9+jSurq506tSJpKSkIh3L48ePmT17Nj/99BPnzp3DxMSEzp0706pVK06fPs3Ro0cZOnSoconf5cuXUalUREREFGk/hTl69Ch16tTBzMxMWebq6sqDBw84d+4cAE2bNuXq1avs2LGD7Oxsbt68yaZNm2jfvn2Bx5eRkSGTlgkhii1pdP+LFSXF7PLly4wfP54WLVrkWpecnEzz5s2pUaMGERERnD59msmTJ6Orq6uUOXr0KG5ubri4uPDnn38SHR2Nr68vWlryFhRCCFG8pKenExoaypw5c3B3d6dmzZosXboUPT09li1bplZ26tSpfPbZZ9SpU4fw8HBu3rzJli1bNNpPRkYGP/74Iw0bNqR+/fr4+vqqjdbOnTuXCRMm0Lt3b+zt7Zk9ezb16tVjwYIFRTqejIwMfvjhB5ydnbG3t+fFixekpaXRsWNHrK2tcXBwYMCAAVhaWgJQsmRJ7O3tKV26dJH2U5gbN26oNbgB5fmNGzcAaNasGatXr6ZXr16UKlUKc3NzjIyM+P777/Otd8KECVSqVIl27dq903iFEOJdkRZPMWNlZZXry7RevXoEBgaSnZ1NYGAglpaW6OjoUKlSJfz8/JRyz549Y/z48VSuXBl9fX2aNGmi1kudX4pZYTIzM/Hy8uKbb76hevXqudZ/9dVXtG/fnuDgYJycnLC2tqZTp05qtz4ZM2YMfn5+TJw4kVq1amFvb0/Pnj3R0dEp+kkSQggh3qPk5GQyMjJo1qyZsqxkyZI0btyY+Ph4tbJNmzZV/jYxMcHe3j5XmfyULl0aa2tr5XnFihW5desW8PLer9evX1eLAV42SjWtP0epUqVwdHRUi9Pb2xtXV1c8PDwICQlRS2uvXLky58+fp3HjxkXaz7sQFxfHF198wZQpU4iJiWHXrl1cvnw531vKBgUFsW7dOrZs2aLW2S+EEMWJNLo/Ips3b+a7775j8eLFJCUlsXXrVurUqaOs9/X15ejRo6xbt47Tp0/To0cP3Nzc1NLQXk8x0+SeoNOmTcPU1JRBgwblWpeVlcX//vc/7OzscHV1xdTUlCZNmrB161alzK1btzh27BimpqY4OztjZmZGq1atOHz48NudECGEEOIjVrJkSbXnKpWK7OxsjbfPyRZ7dZu8Utv19PRy3R0mLCyMo0eP4uzszPr167Gzs+OPP/4oSvhFZm5uzs2bN9WW5Tw3NzcHYNasWTRr1gx/f38cHR1xdXXlhx9+YPny5WodA/AyEyAoKIjff/9drVNBCCGKG2l0f0RSUlIwNzenXbt2WFpa0rhxY2U2z5SUFMLCwti4cSMtWrTA2tqa8ePH07x5c8LCwpQ6Xk8xKyx17PDhwyxbtoylS5fmuf7WrVs8evSIoKAg3Nzc+P333+nSpQtdu3YlMjISgIsXLwIQGBjIkCFD2LVrF/Xr16dt27ZFvi5NCCGEeN+sra0pVaoUUVFRyrKMjAyio6OpWbOmWtlXG6r37t0jMTERBweHt47B0NCQSpUqqcUALyduy4mhQoUKAGqN0djYWI334eTkxKRJkzhy5Ai1a9dmzZo1bx13QZo2bcqZM2eU0XyAPXv2YGhoqBzT48ePc116pq2tDah3LgQHBzN9+nR27dpFw4YN32vcQgjxtqTR/RHp0aMHT548oXr16gwZMoQtW7Yo97Y8c+YMmZmZ2NnZYWBgoDwiIyNJTk5W6ng9xawgDx8+pF+/fixdupTy5cvnWSbnmnBPT0/GjBlDvXr1mDhxIh07duTHH39UKzNs2DAGDhyIk5MT3333Hfb29ixfvvyNz4cQQgjxPujr6zNixAj8/f3ZtWsXcXFxDBkyhMePH+fK+po2bRr79u3j7NmzeHt7U758+TwnHH0T/v7+zJ49m/Xr15OQkMDEiROJjY3liy++AMDGxgYLCwsCAwNJSkrif//7H/PmzSu03kuXLjFp0iSOHj3KlStX+P3330lKSlI6C/766y9q1KhR6L2vY2NjiY2N5dGjR/zf//0fsbGxxMXF5VvexcWFmjVr0q9fP06dOsXu3bv5+uuvGTVqlHK5mYeHB7/88guhoaFcvHiRqKgo/Pz8aNy4MZUqVQJg9uzZTJ48meXLl2NlZcWNGze4ceMGjx490ui8CiHE363Ehw5AqNPS0sqVWpaTKmZhYUFCQgJ79+5lz549jBw5kjlz5hAZGcmjR4/Q1tYmJiZG6RHOYWBgoPydV4pZfpKTk7l8+TIeHh7KspwGdIkSJUhISMDCwoISJUrk6vl3cHBQ0scrVqwIkGcZTa4pF0IIIf5uQUFBZGVl0a9fPx4+fEjDhg3ZvXs3ZcuWzVXuiy++ICkpiXr16vHrr79SqlSpdxKDn58faWlpjBs3jlu3blGzZk22b9+Ora0t8DI9fe3atYwYMQJHR0caNWrEt99+S48ePQqst3Tp0pw/f57w8HDu3LlDxYoVGTVqFMOGDQNe/u5ISEjg8ePHBdbj5OSk/B0TE8OaNWuoWrWqcruyiIgIPv30Uy5duoSVlRXa2tr89ttvjBgxgqZNm6Kvr8+AAQOYNm2aUo+3tzcPHz5k0aJFjBs3DmNjY9q0acPs2bOVMqGhoTx//pzu3burxTN16lQCAwMLPa9CCPF3U2UX5eIh8d41adKEVq1aERwcDLycSMXc3JyAgIBcXyQJCQnUqFGDmJgYDAwMsLe35+DBg3nOMA4vJ1IbPXq02v08C/L06VMuXLigtuzrr7/m4cOHhISEYGdnR6lSpXB2dsba2pqff/5ZKdelSxf09PRYs2YN2dnZVKlSBR8fH6ZPn66UcXJywt3dnZkzZ2oUz4MHDzAyMqLuf35EW0dPo22EEEL888XM6f9O6unTpw/a2tqsWrXqndT3bxcWFsbMmTOJi4vLdf26EEL8E+S0T9LS0jA0NMy3nIx0FzNt2rRhxYoVeHh4YGxszJQpU5SR6xUrVpCZmUmTJk0oXbo0q1atQk9Pj6pVq1KuXDm8vLzo378/8+bNw8nJif/7v/9j3759ODo60qFDhyLHoqurS+3atdWWGRsbA6gt9/f3p1evXrRs2ZJPP/2UXbt28euvvyozp6tUKvz9/Zk6dSp169alXr16hIeHc/78eTZt2vRmJ0oIIYR4R168eEFiYiJHjx5VRnvF29uxYwczZ86UBrcQ4l9PGt3FzKRJk7h06RIdO3bEyMiI6dOnc+nSJeBlgzcoKIixY8eSmZlJnTp1+PXXXylXrhzwskf522+/Zdy4cfz111+UL1+eTz75hI4dO77XmLt06cKPP/7IrFmz8PPzw97ens2bN9O8eXOlzOjRo3n69Cljxozh7t271K1blz179qjdKkUIIYT4EM6ePYuzszOffvppvremKip3d3cOHTqU57ovv/ySL7/88p3spzjbuHHjhw5BCCGKBUkvFx8NSS8XQgiRl3eVXv4u/fXXXzx58iTPdSYmJpiYmPzNEQkhhHjXJL1cCCGEEOIDqVy58ocOQQghRDEhtwz7l3v19mKvP/JLixNCCCGEEEIIoRkZ6f6Xi42NzXddce2lP/htnwLTN4QQQgghhBCiuJBG97+cjY3Nhw5BCCGEEEIIIf6xJL1cCCGEEEIIIYR4T6TRLYQQQgghhBBCvCfS6BZCCCGEEEIIId4TaXQLIYQQQgghhBDviTS6hRBCCCGEEEKI90Qa3UIIIYQQQgghxHsijW4hhBBCCCGEEOI9kUa3EEIIIYQQQgjxnpT40AEIUVQtv16Lto7ehw5DCCHERyJmTv8PHYIQQoh/MRnpFkIIIYQQQggh3hNpdAshhBBCCCGEEO+JNLqFEEIIId7S5cuXUalUxMbGAhAREYFKpeL+/fsfNK6PVWBgIGZmZqhUKrZu3ZrnMm9vbzp37qxRfa+/PkII8XeSRrcQQgghhCg24uPj+eabb1i8eDGpqam4u7vnuSwkJIQVK1ZoVKeFhQWpqanUrl37/QYvcrl79y7/+c9/sLe3R09PD0tLS/z8/EhLSytwu0ePHuHr60uVKlXQ09OjZs2a/Pjjj2pllixZQuvWrTE0NNS4k8vb2xuVSsXw4cNzrRs1ahQqlQpvb++iHKIQhfpoG93Sg/xxi4qKok6dOpQsWVLjXmohhBBCvBsZGRkfOoR8JScnA+Dp6Ym5uTk6Ojp5LjMyMsLY2FijOrW1tTE3N6dECZlDOC/Pnz9/b3Vfv36d69evM3fuXM6ePcuKFSvYtWsXgwYNKnC7sWPHsmvXLlatWkV8fDyjR4/G19eX7du3K2UeP36Mm5sbX375ZZFisrCwYN26dTx58kRZ9vTpU9asWYOlpWXRDlAIDRSrRndR0oQ08XrDPOe5SqVCS0sLIyMjnJycCAgIIDU1tcC67ty5g5ubG5UqVUJHRwcLCwt8fX158OCBWvw59b/6qFWrllLGysoqzzKjRo1SyrRu3TrX+ld7406dOkWfPn2wsLBAT08PBwcHQkJCcsX87NkzvvrqK6pWrYqOjg5WVlYsX75cWb9ixYpc+9HV1VWrIzs7mylTplCxYkX09PRo164dSUlJmr0ABRg7diz16tXj0qVLGvdSCyGEEB/Krl27aN68OcbGxpQrV46OHTsqDUFNbd68mVq1ainfyfPmzVNb/+zZMyZMmICFhQU6OjrY2NiwbNmyAuvMysqiSpUqhIaGqi0/efIkWlpaXLlyBQCVSkVoaCidOnVCX1+fGTNmkJmZyaBBg6hWrRp6enrY29vn+j2R89ts5syZmJmZYWxszLRp03jx4gX+/v6YmJhQpUoVwsLCND4PV69epWfPnhgbG2NiYoKnpyeXL18GXqaQe3h4AKClpYVKpcpz2auxvXougoODsbGxQUdHB0tLS2bMmAHknV5+9uxZ3N3dMTAwwMzMjH79+nH79m1lfevWrfHz8yMgIAATExPMzc0JDAxUO5b79+8zbNgwzMzM0NXVpXbt2vz222+kp6djaGjIpk2b1Mpv3boVfX19Hj58WOA5ev78Ob6+vlSsWBFdXV2qVq3KrFmzCt1vjsLea1ZWVkyfPp3+/ftjaGjI0KFDATh8+DAtWrRAT08PCwsL/Pz8SE9PLzDWwtSuXZvNmzfj4eGBtbU1bdq0YcaMGfz666+8ePEi3+2OHDnCgAEDaN26NVZWVgwdOpS6devy559/KmVGjx7NxIkT+eSTT4oUU/369bGwsOCXX35Rlv3yyy9YWlri5ORU9IMUohDFqtH9d0lISOD69etER0czYcIE9u7dS+3atTlz5ky+22hpaeHp6cn27dtJTExkxYoV7N27V60xHBISQmpqqvK4evUqJiYm9OjRQykTHR2tVmbPnj0AamUAhgwZolYuODhYWRcTE4OpqSmrVq3i3LlzfPXVV0yaNIlFixap1dGzZ0/27dvHsmXLSEhIYO3atdjb26uVMTQ0VNtPzpdzjuDgYBYuXMiPP/7IsWPH0NfXx9XVladPn2p4tvOWnJxMmzZtqFKlisa91EIIIcSHkp6eztixYzl+/Dj79u1DS0uLLl26kJWVpdH2MTEx9OzZk969e3PmzBkCAwOZPHmyWsdz//79Wbt2LQsXLiQ+Pp7FixdjYGBQYL1aWlr06dOHNWvWqC1fvXo1zZo1o2rVqsqywMBAunTpwpkzZ/Dx8VEa7Bs3biQuLo4pU6bw5ZdfsmHDBrW69u/fz/Xr1zl48CDz589n6tSpdOzYkbJly3Ls2DGGDx/OsGHDuHbtWqHnISMjA1dXV8qUKcOhQ4eIiorCwMAANzc3nj9/zvjx45UGfM5vk7yW5WXSpEkEBQUxefJk4uLiWLNmDWZmZnmWvX//Pm3atMHJyYnjx4+za9cubt68Sc+ePdXKhYeHo6+vz7FjxwgODmbatGnKb7esrCzc3d2Jiopi1apVxMXFERQUhLa2Nvr6+vTu3TtXZ0RYWBjdu3enTJkyBZ6nhQsXsn37djZs2EBCQgKrV6/Gysqq0P2CZu81gLlz51K3bl1OnjzJ5MmTSU5Oxs3NjW7dunH69GnWr1/P4cOH8fX1VbYJDAxU4ngbaWlpGBoaFph54OzszPbt2/nrr7/Izs7mwIEDJCYm4uLi8tb7B/Dx8VF7fZYvX87AgQPfSd1CvK7Y5tg8e/YMf39/1q1bx4MHD2jYsCHfffcdjRo1UisXFRXFpEmTSExMpF69evz000+FXq9jamqKsbEx5ubm2NnZ4enpiZOTEyNGjODw4cN5blO2bFlGjBihPK9atSojR45kzpw5yjIjIyOMjIyU51u3buXevXtq/8AVKlRQqzcoKAhra2tatWqltrx06dKYm5vnGYuPj4/a8+rVq3P06FF++eUX5YNx165dREZGcvHiRUxMTADy/JBUqVT57ic7O5sFCxbw9ddf4+npCcDKlSsxMzNj69at9O7dO8/tCnrtLl++TLVq1ZTjyPnAk2tnhBBCFGfdunVTe758+XIqVKhAXFycRtcJz58/n7Zt2zJ58mQA7OzsiIuLY86cOXh7e5OYmMiGDRvYs2cP7dq1A15+v2vCy8uLefPmkZKSgqWlJVlZWaxbt46vv/5arVzfvn1zNSq++eYb5e9q1apx9OhRNmzYoNb4NDExYeHChWhpaWFvb09wcDCPHz9WUnpzGruHDx/O97dBjvXr15OVlcVPP/2kjFiHhYVhbGxMREQELi4uSmf8q79P8lr2qocPHxISEsKiRYsYMGAAANbW1jRv3jzP8osWLcLJyYmZM2cqy5YvX46FhQWJiYnY2dkB4OjoyNSpUwGwtbVl0aJF7Nu3j88++4y9e/fy559/Eh8fr5R/9TUbPHgwzs7OpKamUrFiRW7dusWOHTvYu3dvgecIICUlBVtbW5o3b45KpVLrPClsv4W913K0adOGcePGqcXr5eXF6NGjleNduHAhrVq1IjQ0FF1dXcqXL4+1tXWh8Rfk9u3bTJ8+XRldz89///tfhg4dSpUqVShRogRaWlosXbqUli1bvtX+c3z++edMmjRJGXCKiopi3bp1REREvJP6hXhVsR3pDggIYPPmzYSHh3PixAlsbGxwdXXl7t27auX8/f2ZN28e0dHRVKhQAQ8PjyJfp6Snp8fw4cOJiori1q1bGm1z/fp1fvnll1yN5VctW7aMdu3aqX1Qvur58+esWrUKHx8f5Ysnx+rVqylfvjy1a9dm0qRJPH78uMB40tLSlMY1wPbt22nYsCHBwcFUrlwZOzs7xo8fr3btCrycpKJq1apYWFjg6enJuXPnlHWXLl3ixo0bypc/vOxYaNKkCUePHs03loJeu5yJTAwNDVmwYAGpqan06tWrwGMTQgghPrSkpCT69OlD9erVMTQ0VDqyU1JSNNo+Pj6eZs2aqS1r1qwZSUlJZGZmEhsbi7a2doG/K/JTr149HBwclNHuyMhIbt26lSuLrmHDhrm2/f7772nQoAEVKlTAwMCAJUuW5DqmWrVqoaX1/38ympmZUadOHeW5trY25cqV0+g31KlTp7hw4QJlypTBwMAAAwMDTExMePr0aZHT9V8VHx/Ps2fPaNu2rUblT506xYEDB5QYDAwMqFGjBoBaHI6Ojmrb5TSeAWJjY6lSpYrS8H1d48aNqVWrFuHh4QCsWrWKqlWratRo9Pb2JjY2Fnt7e/z8/Pj999+VdYXtt7D3Wo7X3w+nTp1ixYoVaufE1dWVrKwsLl26BICvry/79u3LN+6ZM2eqbf/6e+nBgwd06NCBmjVr5krVf91///tf/vjjD7Zv305MTAzz5s1j1KhRGnVaaKJChQp06NCBFStWEBYWRocOHShfvvw7qVuI1xXLke709HRCQ0NZsWIF7u7uACxdupQ9e/awbNky/P39lbJTp07ls88+A16mAFWpUoUtW7bkSg8qTM4H7eXLlzE1Nc23XJ8+fdi2bRtPnjzBw8ODn376Kc9y169fZ+fOnbnSvV61detW7t+/n2uUt2/fvlStWpVKlSpx+vRpJkyYQEJCgtp1J686cuQI69ev53//+5+y7OLFixw+fBhdXV22bNnC7du3GTlyJHfu3FFSaezt7Vm+fDmOjo6kpaUxd+5cnJ2dOXfuHFWqVOHGjRsAuVKzzMzMlHWv0+S1Mzc3R6VSYWRklG+PtRBCCFGceHh4ULVqVZYuXUqlSpXIysqidu3a72wCKj09vbfa3svLizVr1jBx4kTWrFmDm5sb5cqVUyujr6+v9nzdunWMHz+eefPm0bRpU8qUKcOcOXM4duyYWrmSJUuqPVepVHku0yTV/tGjRzRo0IDVq1fnWvd6NmBRFPX8PXr0CA8PD2bPnp1rXcWKFZW/CzpOTfY5ePBgvv/+eyZOnEhYWBgDBw7MNdCSl/r163Pp0iV27tzJ3r176dmzJ+3atWPTpk1v/V7J8fr74dGjRwwbNgw/P79cZTWdXGz48OFqv8ErVaqk/P3w4UPc3NwoU6YMW7ZsyXVuX/XkyRO+/PJLtmzZQocOHYCXHSCxsbHMnTtXbUDobfj4+ChZot9///07qVOIvBTLRndycjIZGRlqvXQlS5akcePGxMfHq5Vt2rSp8reJiQn29va5ymgiOzsboNAPwu+++46pU6eSmJjIpEmTGDt2LD/88EOucuHh4RgbGxc4MdyyZctwd3dX+0AC1NJt6tSpQ8WKFWnbti3Jycm5UnrOnj2Lp6cnU6dOVbvGJSsrC5VKxerVq5WU9/nz59O9e3d++OEH9PT0aNq0qdr5c3Z2xsHBgcWLFzN9+vQCz0N+ivLaCSGEEB+DO3fukJCQwNKlS2nRogVAvpej5cfBwYGoqCi1ZVFRUdjZ2aGtrU2dOnXIysoiMjLyjRoUffv25euvvyYmJoZNmzblurVSXqKionB2dmbkyJHKsrcZbdZE/fr1Wb9+PaamphgaGr6zem1tbdHT02Pfvn0MHjxYozg2b96MlZXVG89o7ujoyLVr19TS0V/3+eefExAQwMKFC4mLi1NS3zVhaGhIr1696NWrF927d8fNzY27d+8Wut/C3mv5qV+/PnFxcdjY2Ggc4+tMTEzUMi9zPHjwAFdXV3R0dNi+fXuuiXtfl5GRQUZGhlqGBbzMqtB0HgVN5MwloFKpcHV1fWf1CvG6Ypte/nfLaRAWNjmEubk5NWrUoFOnTixevJjQ0NBcE3pkZ2ezfPly+vXrR6lSpfKs58qVK+zdu1ejL4YmTZoAcOHCBbXlcXFxtG3blqFDh+a6bqtixYpUrlxZ7RpzBwcHsrOz853opGTJkjg5OSn7yRmFvnnzplq5mzdvygi1EEKIf42yZctSrlw5lixZwoULF9i/fz9jx44tUh3jxo1j3759TJ8+ncTERMLDw1m0aBHjx48HXv7+GDBgAD4+PmzdupVLly4RERGRa1Kz/FhZWeHs7MygQYPIzMykU6dOhW5ja2vL8ePH2b17N4mJiUyePJno6OgiHVdReXl5Ub58eTw9PTl06JBynH5+fhpNxJYfXV1dJkyYQEBAACtXriQ5OZk//vgj39nfR40axd27d+nTpw/R0dEkJyeze/duBg4cqJaCXZBWrVrRsmVLunXrxp49e5SR6V27dillypYtS9euXfH398fFxYUqVapoVPf8+fNZu3Yt58+fJzExkY0bN2Jubo6xsXGh+y3svZafCRMmcOTIEXx9fYmNjSUpKYlt27apTaS2aNEijVP4czx48AAXFxfS09NZtmwZDx484MaNG9y4cUPtXNeoUYMtW7YALzscWrVqhb+/PxEREcrdblauXEmXLl2UbW7cuEFsbKzy2/XMmTPExsbmuhw1P9ra2sTHxxMXF1dgh4QQb6tYNrqtra0pVaqUWi9dRkYG0dHR1KxZU63sH3/8ofx97949EhMTcXBwKNL+njx5wpIlS2jZsmWRUptyetqePXumtjwyMpILFy4UeP/BsLAwTE1NlZSZguTc3uLVdKdz587x6aefMmDAAOV2GK9q1qwZ169f59GjR8qyxMREtLS08v3Az8zM5MyZM8p+qlWrhrm5udq1Ow8ePODYsWNqI+SvKsprJ4QQQnwMtLS0WLduHTExMdSuXZsxY8aoTaSqifr167NhwwbWrVtH7dq1mTJlCtOmTVO7xCw0NJTu3bszcuRIatSowZAhQ4p0uyYvLy9OnTpFly5dNEpBHjZsGF27dqVXr140adKEO3fuqI16vw+lS5fm4MGDWFpa0rVrVxwcHBg0aBBPnz5965HvyZMnM27cOKZMmYKDgwO9evXK9zrzSpUqERUVRWZmJi4uLtSpU4fRo0djbGyca3S1IJs3b6ZRo0b06dOHmjVrEhAQkKvRPmjQIJ4/f55rItyClClThuDgYBo2bKhMRLtjxw4ltoL2q8l7LS+Ojo5ERkaSmJhIixYtcHJyYsqUKWoZmbdv3y5yNsSJEyc4duwYZ86cwcbGhooVKyqPq1evKuUSEhJIS0tTnq9bt45GjRrh5eVFzZo1CQoKYsaMGWp3Dvrxxx9xcnJiyJAhALRs2RInJye1e3kXxtDQ8J1mXQiRF1V2Tl51MeDt7c39+/fZunUro0ePZuPGjSxbtgxLS0uCg4PZvn07ycnJlC1bloiICD799FNq1apFSEgIZmZmfPXVV0rPXKlSpZQy9+7dU2bF/PTTT0lISMDQ0JCHDx8SExNDcHAwKSkpHDx4MN+G4Y4dO7h58yaNGjXCwMCAc+fOKfenfD3FrF+/fiQlJal1CLwqKyuLatWq0adPH4KCgtTWJScns2bNGtq3b0+5cuU4ffo0Y8aMoUqVKkRGRgIvU8rbtGmDq6ur2pe+tra20mnw6NEjHBwc+OSTT/jmm2+4ffs2gwcPplWrVixduhSAadOm8cknn2BjY8P9+/eZM2cOW7duJSYmRjkPs2fPJigoiPDwcKpVq8bkyZM5ffo0cXFx+aYGFfbawctZSBcsWFCkWcsfPHiAkZERdf/zI9o67+Z6JiGEEP98MXP6f+gQxL/Yzz//zJgxY7h+/Xq+GZBCiI9TTvsk5zZ4+SlW13RnZWUp19UEBQWRlZVFv379ePjwIQ0bNmT37t1Koy1HUFAQX3zxBUlJSdSrV49ff/210A80e3t7VCoVBgYGVK9eHRcXF8aOHVtgyrSenh5Lly5lzJgxPHv2DAsLC7p27crEiRPVyqWlpbF582ZCQkLyrWvv3r2kpKTk2eNZqlQp9u7dy4IFC0hPT8fCwoJu3bqppY9v2rSJ//u//2PVqlWsWrVKWV61alUuX74MgIGBAXv27OE///kPDRs2pFy5cvTs2ZNvv/1WKX/v3j2GDBnCjRs3KFu2LA0aNODIkSNqHQ8BAQGkp6czdOhQ7t+/T/Pmzdm1a1eB1+Jo+toJIYQQQvxTPX78mNTUVIKCghg2bJg0uIX4FytWI91ubm7Y2NiwaNGiDx2KKIZkpFsIIcSb+NhHuocPH67Wyf6qzz//XKNJ0/4uM2fOVLv39atatGjBzp07/+aIPpzAwEBmzJhBy5Yt2bZtGwYGBso6OU9C/DNoOtJdLBrd9+7dIyoqiu7du7Nu3boCZ/wW/x7Pnj1Tu17+wYMHWFhYSKNbCCFEkXzsje5bt27x4MGDPNcZGhoWeKvTv9vdu3fzncRKT0+PypUr/80RFU9ynoT4Z/io0st9fHyIjo5m3LhxeHp6fuhwRDExa9Ysvvnmmw8dhhBCCPFBmZqaFquGdUHyu2WUUCfnSYh/l2Ixe/mWLVu4du0aM2bMKPQ+2eLfY9KkSaSlpSmPV2e4FEIIIf5u3t7eGmfjRUREoFKpuH///hvta8WKFRgbG7/RtkIIIYqXYtHoFiIvOjo6ym0c5HYOQgghPrSQkBBWrFjxocP4KBw+fJhmzZpRrlw59PT0qFGjBt99951amdDQUBwdHZXv+KZNm+a6lvnGjRv069cPc3Nz9PX1qV+/Pps3by5w3wcPHsTDw4NKlSqhUqnYunXruz48IYQokmKRXi6EEEIIUdwZGRl96BDeu8zMTFQqVZHuVZ0XfX19fH19cXR0RF9fn8OHDzNs2DD09fUZOnQoAFWqVCEoKAhbW1uys7MJDw/H09OTkydPUqtWLQD69+/P/fv32b59O+XLl2fNmjX07NmT48eP4+TklOe+09PTqVu3Lv+vvTuPqyn94wD+ud3qtu+kKFRakCIiRIkWpCxZU5ax70t2Yx0MGTJ2sjR2Q/axV7YsSVOhhYQSkva9e5/fH/064yqEuMX3/Xr1mrnnPOee733cW/d7nud8n2HDhqFXr15f9ToIIaQq0Eg3IYQQQkglvDu9vLCwEBMnTkTt2rUhJyeH9u3b486dO+WOuX79Opo1awY5OTm0adMG0dHRn3XOc+fOwczMDEpKSnB2dkZKSgq3TyQSYfHixahXrx4EAgEsLS1x9uxZbn9FU9wjIiLA4/G4JUbLprGfOHECjRs3hkAgwLNnzxAcHAxra2soKipCTU0N7dq1w9OnTysdd/PmzTFgwAA0adIEDRo0gKenJ5ycnHD16lWujaurK7p27YpGjRrB2NgYv/32G5SUlHDz5k2uzY0bNzBhwgRYW1vDwMAA8+bNg5qaGu7evfvBc7u4uGDp0qXo2bNnpeMlhJBviZJu8lG7du0Cj8cT+3l/je4hQ4aUa+Ps7CzWJi4uDm5ubtDS0oKKigrat2+PoKCg7/lSCCGEkCozY8YMHDlyBLt370Z4eDiMjIzg5ORUriK1j48PVq9ejTt37qBWrVpwdXVFcXFxpc6Rl5cHX19f/PXXX7hy5QqePXuG6dOnc/v9/PywevVq+Pr6IjIyEk5OTujRowfi4+M/67Xk5eXh999/x/bt23H//n1oaGjA3d0dHTt2RGRkJEJDQzFy5Eiu7k5iYiJ4PB6Cg4MrfY579+7hxo0b6NixY4X7hUIhDhw4gNzcXNjY2HDb27Zti4MHD+Lt27cQiUQ4cOAACgoKYGdn91mvkRBCJImml//EKjuFTEVFBbGxsdzjiordOTs7Y+fOndxjgUAgtr979+5o1KgRLl++DHl5eaxduxbdu3fH48ePUadOna98JYQQQsj3k5ubi02bNmHXrl1wcXEBAGzbtg0XLlyAv78/fHx8uLYLFixAly5dAAC7d+9GvXr1EBgYiL59+37yPMXFxdi8eTMMDQ0BAOPHj8fixYu5/b6+vpg5cyb69+8PAPj9998RFBSEtWvXYsOGDZV+PcXFxdi4cSMsLCwAlC5nlZmZie7du3PnNjMz49rLyMjAxMQECgoKn3zuevXqITU1FSUlJVi4cCF++eUXsf1RUVGwsbFBQUEBlJSUEBgYiMaNG3P7Dx06hH79+kFTUxPS0tJQUFBAYGAgjIyMKv36CCFE0miku5pp0KAB1q5dK7bN0tISCxcuBGMMCxcuhL6+PgQCAXR1dTFx4kSuXWFhIaZPn466detCUVERrVu3FrsK/aEpZJ/C4/FQp04d7kdbW7tcG4FAINZGXV2d2/fmzRvEx8dj1qxZaNasGRo1aoQVK1YgLy/vs6fZEUIIIZL2+PFjFBcXo127dtw2GRkZWFtb4+HDh2Jt3x211dDQgImJSbk2H6KgoMAlvQCgo6OD169fAyhdG/bFixdiMQBAu3btKv38ZWRlZdGsWTOxOIcMGQInJye4urrCz89PbFp73bp1ERMTA2tr608+99WrVxEWFobNmzdj7dq12L9/v9h+ExMTRERE4NatWxgzZgy8vb3x4MEDbv/8+fORkZGBixcvIiwsDFOnTkXfvn0RFRX1Wa+REEIkiZLuGuTIkSNYs2YNtmzZgvj4eBw7dgzm5ubc/vHjxyM0NBQHDhxAZGQkPDw84OzsLDbN7P0pZJVZ9zMnJwf169eHnp4e3NzccP/+/XJtgoODUbt2bZiYmGDMmDFIS0vj9mlqasLExAQBAQHIzc1FSUkJtmzZgtq1a8PKyuore4UQQgj5McnIyIg95vF4YIxV+viymWzvHlPR1HZ5eflys9h27tyJ0NBQbnq3sbGx2L3WldWwYUOYm5tjxIgRmDJlChYuXCi2X1ZWFkZGRrCyssLy5cthYWEBPz8/AKUXN9avX48dO3bAwcEBFhYWWLBgAVq2bPlZI/mEECJplHTXIM+ePUOdOnXQuXNn6Ovrw9raGiNGjOD27dy5E4cPH4atrS0MDQ0xffp0tG/fXmzad9kUsrZt21ZqapiJiQl27NiB48ePY8+ePRCJRGjbti2SkpK4Ns7OzggICMClS5fw+++/IyQkBC4uLhAKhQBKvyRcvHgR9+7dg7KyMuTk5PDHH3/g7NmzYiPihBBCSE1gaGgIWVlZXL9+ndtWXFyMO3fuiE2NBiCWqKanpyMuLk5sqvaXUlFRga6urlgMQGnhtrIYatWqBQBio9QRERGVPkfz5s0xe/Zs3LhxA02bNsW+ffu+KmaRSITCwsJKt8nLywOAcrfB8fl8iESir4qFEEK+J7qnuwbx8PDA2rVrYWBgAGdnZ3Tt2hWurq6QlpZGVFQUhEIhjI2NxY4pLCyEpqYm9/j9KWSfYmNjU66giZmZGbZs2YIlS5YAAHcvGQCYm5ujWbNmMDQ0RHBwMBwcHMAYw7hx41C7dm1cvXoV8vLy2L59O1xdXXHnzh3o6Oh8aZcQQggh352ioiLGjBkDHx8faGhoQF9fHytXrkReXh6GDx8u1nbx4sXQ1NSEtrY25s6dCy0tLa4C+tfy8fHBggULYGhoCEtLS+zcuRMRERHYu3cvAMDIyAh6enpYuHAhfvvtN8TFxWH16tWffN4nT55g69at6NGjB3R1dREbG4v4+Hh4eXkBAJKTk+Hg4ICAgIAPTjHfsGED9PX1YWpqCqB07WxfX1+x2+Jmz54NFxcX6OvrIzs7G/v27UNwcDDOnTsHADA1NYWRkRFGjRoFX19faGpq4tixY7hw4QJOnTrFPY+DgwN69uyJ8ePHAyidoffo0SOx1xMREcH9WxFCyPdGSXc1IyUlVW7qWNlUMD09PcTGxuLixYu4cOECxo4di1WrViEkJAQ5OTng8/m4e/cu+Hy+2PFKSkrc/1c0hexzyMjIoHnz5mJ/zN5nYGAALS0tPHr0CA4ODrh8+TJOnTqF9PR0qKioAAA2btyICxcuYPfu3Zg1a9YXx0MIIYRIwooVKyASiTB48GBkZ2ejZcuWOHfuXLkZXCtWrMCkSZMQHx8PS0tLnDx5ErKyslUSw8SJE5GZmYlp06bh9evXaNy4MU6cOIFGjRoBKP2bvX//fowZMwbNmjVDq1atsHTpUnh4eHz0eRUUFBATE4Pdu3cjLS0NOjo6GDduHEaNGgWg9HtJbGwsNxJdEZFIhNmzZ+PJkyeQlpaGoaEhfv/9d+45AOD169fw8vJCSkoKVFVV0axZM5w7d44rPCcjI4MzZ85g1qxZcHV1RU5ODoyMjLB792507dqVe57Hjx/jzZs33OOwsDDY29tzj6dOnQoA8Pb2xq5duyrZu4QQUnV47HNuDiLfXOvWrdGxY0esXLkSQGmhlDp16mDGjBnl7oOKjY2Fqakp7t69CyUlJZiYmODKlSuwtbWt8Ll37dqFyZMni63X+bmEQiGaNGmCrl274o8//qiwTVJSEvT19XHs2DH06NEDJ0+ehLu7OzIzM8UuAJiYmMDb2xtz5syp1LmzsrKgqqoKiwmbwRfIf/FrIIQQ8nO5u8qrSp5nwIAB4PP52LNnT5U8HyGEkJqtLD/JzMzkBhcrQvd0VzOdOnXCX3/9hatXryIqKgre3t7cyPWuXbvg7++P6OhoJCQkYM+ePZCXl0f9+vVhbGyMQYMGwcvLC0ePHsWTJ09w+/ZtLF++HKdPn/7ieBYvXozz588jISEB4eHh8PT0xNOnT7klP3JycuDj44ObN28iMTERly5dgpubG7deKVA6RV1dXR3e3t74999/ERcXBx8fHzx58gTdunX7+k4jhBBCvqGSkhI8ePAAoaGhaNKkiaTDIYQQUsNQ0l3NzJ49Gx07dkT37t3RrVs3uLu7c8uFqKmpYdu2bWjXrh2aNWuGixcv4uTJk9w92zt37oSXlxemTZsGExMTuLu7486dO191/1J6ejpGjBgBMzMzdO3aFVlZWbhx4wZXpIXP5yMyMhI9evSAsbExhg8fDisrK1y9epVbq1tLSwtnz55FTk4OOnXqhJYtW+LatWs4fvw4tyYoIYQQUl1FR0ejZcuWaNKkCUaPHl0lz+ni4gIlJaUKf5YtW1Yl5yCEEFI90PRyUmPQ9HJCCCFfoqqml1el5ORk5OfnV7hPQ0MDGhoa3zkiQgghn6uy08upkBohhBBCyHdWt25dSYdACCHkO6Hp5T+5D01tU1JSwtWrVyUdHiGEEEIIIYTUaDTS/ZOLiIj44L7qehX+ytIBH52+QQghhBBCCCHVBSXdPzkjIyNJh0AIIYQQQgghPyyaXk4IIYQQQgghhHwjlHQTQgghhBBCCCHfCE0vJzVG2ep2WVlZEo6EEEIIIYQQ8rMry0s+tQo3Jd2kxkhLSwMA6OnpSTgSQgghhBBCCCmVnZ0NVVXVD+6npJvUGBoaGgCAZ8+effRNTSovKysLenp6eP78OVWErwLUn1WL+rNqUX9WLerPqkX9SQipiRhjyM7Ohq6u7kfbUdJNagwpqdISBKqqqvQHuYqpqKhQn1Yh6s+qRf1Ztag/qxb1Z9Wi/iSE1DSVGQykQmqEEEIIIYQQQsg3Qkk3IYQQQgghhBDyjVDSTWoMgUCABQsWQCAQSDqUHwb1adWi/qxa1J9Vi/qzalF/Vi3qT0LIj4zHPlXfnBBCCCGEEEIIIV+ERroJIYQQQgghhJBvhJJuQgghhBBCCCHkG6GkmxBCCCGEEEII+UYo6SaEEEIIIYQQQr4RSroJ+T+qKVi1qD+/DvUfqa5EIhEAeo9WNepPQgj5cVHSTX5az58/x/Hjx7Fp0yYUFBSAx+PRl56v8Pr1a9y/fx9hYWEAAB6PJ+GIap6srCy8ePECycnJ1H9V5Pnz5wgLC4NQKJR0KD+EmJgYTJ8+HZmZmfQerQLp6el4/PgxfeYJIeQHR0k3+SlFRkaiQ4cOWLp0KXx8fNC6dWsUFRXRl54vFBkZCVtbW7i6uqJ79+5o1aoVQkNDkZ+fL+nQaoz79+/D2dkZzs7OMDU1xdKlS5GWlibpsGq05ORkNGnSBKNGjUJYWBhdVPtKUVFRaN++PbKysvDs2TNuO/Xrl4mOjkbnzp3h5uYGAwMDbN++HQD1Z5lHjx5hzZo1mDFjBv755x+8evVK0iERQsgXo6Sb/HSePn2K7t27Y/jw4Th9+jQePHiAtLQ0BAcHSzq0Gunly5dwd3dHnz59cPToUZw4cQLKysrw8PDAgQMHkJOTI+kQq72YmBjY29ujffv2WLduHRYtWoQVK1YgNDRU0qHVaHl5edDV1UVSUhKGDBmCO3fuoLi4GMB/U6RJ5aSmpqJfv37w9PTE9u3bYW5uDgDIycmhi5VfIC4uDp06dYKDgwN27tyJGTNmYPLkycjIyKBZVyi9IGFtbY2jR4/iypUr6NmzJ6ZMmYJ//vlH0qERQsgXoaSb/HRu3rwJfX19TJgwAbVr14a+vj4aN26MxMRE/Pbbb4iOjkZeXp6kw6wxnj9/Dj6fjyFDhsDS0hLW1ta4fPkyHBwcsGjRIpw+ffqn/wL5MVlZWZg9ezZ69+6NlStXws7ODlOnTkX37t2xbds2ADTy9SUYY9DS0oK1tTWio6OhoqKCIUOG4P79+wBKR21J5b148QIaGhpYuXIlRCIRvLy84ODgABMTE6xYsYLrV/JpjDGsW7cOdnZ2WLlyJVq1aoWxY8fC3t4eqampiI+PR3Z2tqTDlJj8/HzMnj0bnp6eCA4Oxs2bN3Hs2DGkpaVh5cqVCAwMlHSIhBDy2SjpJj+dpKQkxMbGgs/nAwBWr16N4OBgBAYGYu/evejcuTPOnj0LgJKdysjOzkZGRgZkZGQAgLtgsXv3brRu3RrTpk3D27dvAVB/ViQtLQ3FxcVwd3cHAO7eYzMzM+Tm5gKg++O/BI/Hg7q6Op4/f47Y2FiEhIRARkYG3t7e6NatGyZMmEAX1z7D27dv8erVK2RmZsLFxQWvX79Gv379MHToUOzcuRN+fn5ISkqSdJg1Ao/Hw8uXL6Gqqsr9Tty2bRvOnTuH3r17o3Xr1pgyZQpiY2MlHKlkyMrKIjk5Gdra2tzfaWdnZyxatAgqKirYunUrbt26JeEoCSHk81DSTX46Xl5eUFZWhomJCXr06IHZs2fj9OnTOH78OB48eABbW1ssXrwYQqGQkp1K6NixIzQ1NTF9+nQAgIKCAgoLCwEABw8ehJKSEpYuXQqAkseKNGzYENOmTYOTkxOA/y5M6OvrcxcyyqSmpn73+GqqsosXOjo6uHLlCuTk5PDvv/8iOTkZ586dw4gRI6CgoCDhKGsOVVVV5ObmIiQkBJqamti6dStGjhyJpUuXYsmSJTh27BiNdn8GMzMz7N+/HzNmzMAvv/yCZcuWYe/evbhw4QJ27tyJoKAghISESDrM704kEqGwsBA6Ojp48+YNgP8+y23atMH06dPx7NkzHDt2DABdyCWE1ByUdJMf3rvVYQGgVq1auH37NlasWAE7Ozu4urqiU6dOKCkpAQB069YNAH7q6X0fk5+fD8YYl1jz+XysWrUKt2/fxtSpUwEAAoEARUVFAAALCwtkZGRIKtxqqaCgADk5OVwf2dvbAyj9wiktLc21SUlJ4e49Xrp0KRYvXsz1O/m4shGyjh07cu+/YcOGQVZWFoaGhvjjjz9w48YN+tJeSS1atICtrS369++PS5cucffGA0Dfvn3RqFEjut/2MyxZsgQTJkyASCTCo0ePMGXKFHh4eEBbWxtubm4wNjbmZlz9TKSkpKCgoICuXbti48aNOH/+PPh8Pvd70NbWFuPHj8eGDRuQmppKF3IJITWGtKQDIORbio6Ohre3NwoLCxEfH4/169djxIgR0NLSwuDBg7FixQq8fPkSfD6fG/W6c+cOdHR0ICsrK+Hoq5/o6GhMnToVJSUlSElJwZQpU+Dq6goXFxdMmDABW7duRX5+PjZt2sT1H4/Hg0AggEgkAo/H++m/JEVHR2P27NlISkpCgwYN0KRJE24mgJTUf9dBpaSkwOfzISUlhQULFmDJkiW4e/cuBAKBpEKvtmJjYxEQEICkpCQ0b94c9vb2sLCwAFA6Qnv37l14enri0qVLuH79OgwMDFC/fn1MmzYNQUFBkJOTk/ArqF4ePXqEwMBAvHnzBk2bNoWjoyO0tbWxfPly5Obm4sKFC4iIiIChoSGA0tFGNTU17jER935/Ojk5oXbt2li+fDkAwMPDA3p6egCAoqIiyMrKQlFREWZmZmCM/fC/M5OSknD//n1kZWWhZcuWaNiwIcaNG4c7d+6gT58++Oeff9CuXTuuvZGRERo0aMBdWCOEkBqBEfKDio2NZbVq1WI+Pj7s9u3bbN68eUxRUZGlp6dzbe7cucN0dHTYyJEj2ZEjR9jEiROZpqYmi4qKklzg1VRsbCzT0tJikyZNYgcPHmTz5s1jPB6P9e7dm0VFRbHCwkK2YcMGVqdOHdayZUs2btw45unpyRQUFNj9+/clHX61EBMTwzQ0NNiUKVNYQEAAmz9/PtPS0mJubm4sIyODMcZYYWEhY4yx3bt3s169erElS5YwgUDA7t69K8nQq63o6GimpqbG+vTpw0aOHMnq1avHrKys2KZNmxhjjKWkpLCGDRuyRo0asfDwcO44oVDIHj9+LKmwq62oqCimqanJXFxcWK9evZisrCyzt7dnp0+fZowxFh4ezuzt7ZmioiLz9fVlAQEBbPbs2ax27dosLi5OwtFXPxX1Z6dOndixY8e4NmPGjGF6enrs2bNnLDY2li1atIjVqlWLxcTESDDy7yMyMpJpa2uzVq1aMT6fz1q2bMnGjx/PGGOspKSE9e3blykoKLDdu3ezJ0+esJKSEjZt2jRmYWEh9recEEKqO0q6yQ9JJBKxcePGMQ8PD27bixcvWPfu3VlcXByLi4tj2dnZrLi4mG3atIkZGBgwU1NTZmdnxyIjIyUYefUkEonYhAkT2IABA8S2e3l5MXl5eda7d2/28OFDxhhj8fHxbPDgwax3797M09OTLmD8X0lJCZs6dSobOXIkty0/P5/17t2b8Xg81qlTJ7H2/v7+jMfjMRUVFRYWFva9w60RsrOzmaOjI5s5cya37enTp0xdXZ3VqVOHrVy5kjHG2KFDh7j3J2OMFRcXf/dYa4L09HTWtm1bNmfOHG5bVFQU4/P5rHnz5mz//v2MMcYyMjLYlClTWNOmTVnjxo2Zra0tu3fvnoSirr4+1p9WVlZs165djLHSC5odOnRgPB6PNWnShJmamv4U/ZmRkcEsLCzY5MmTWUZGBktKSmJLlixhTZo0Yd27d+faTZs2jWloaDB9fX3WsmVLpqmpKXYBjRBCagKaXk5+SGXVYdXV1bnpee9Wh01KSoK7uzsWLlyI0aNHY9CgQcjJyYGSkhKUlZUlHX61w+PxkJycjHr16gEoXeZKRUUFRkZGaN++PaKiorB//34sWrQIRkZGCAgIAFBaAIemAJbi8/l49OgR9/4SiUSQk5ND+/btoaWlhdOnT3OVoIHS2gO1atVCcHAwzMzMJBl6tcXj8ZCeno7mzZsDKK03oK+vj06dOiEjIwNHjhyBtbU1PDw8xI4ru2+eiCsuLkZ+fj4cHR0hEolQUFAAU1NTtG3bFtnZ2di+fTssLCxgZmaGP/74Ay9fvoSioiIYY1BRUZF0+NXOp/pzz549aNOmDUxMTHD27FmcO3cOWlpaMDAwgK6urqTD/+YyMzORn5+Pvn37QlVVFaqqqpg8eTJMTEwwb9489O3bF4cOHYKvry969eqFFy9eoKioCG3btkWDBg0kHT4hhHwWKqRGfliVqQ5bVvhHWVkZOjo6lHB/RN26dXH06FEUFhZCRUUFL1++xNq1azFz5kyMHz8eq1evxosXL8SOefce5Z+ZUChESUkJjI2NkZWVhXv37kFKSgqJiYlYsmQJrKysMHPmTERERODly5cAAFdXVzx8+JAS7g8QCoXIzs7G8+fPkZKSAgCQl5fH8+fPERMTg8GDByMvLw/79u2TcKQ1R3Z2Nh4+fIjXr19zBa2Sk5NRVFQEHx8f3L17F4cPH+baa2trQ1lZmRLuCjDGPtmfYWFhOHDgAIDS9667uzvat2//UyTcQOnf3eLiYty4cYPbpqSkhB49emDu3LmIiYnBxo0bAQBt27ZFnz59MHDgQEq4CSE1En0jJj+sT1WHNTExwblz5yQdZrX16tUrPH36lHs8YcIE6OvrQ11dHd26dYOhoSF69eoFBwcHDBgwAGpqamLtAVoijP2/MraUlBSkpaXRq1cvPHnyBEOHDkXnzp3RuHFjeHh4YMSIEejWrRvu37+PxMRErlKvurq6JMOvlsrWLufz+ahTpw5mzZqFqVOnYuTIkViwYAEaN26Mdu3awdvbG3PnzsXFixeRnp7O9Sn5MAMDA4wdOxaDBw/GwoUL8eeff8LCwgKWlpYYOHAg5s6di/PnzyMvL++nKPD1JQoKCgCU/u4zMDDA+PHjP9qfFy5cQF5e3k/5/lRQUECHDh1w8eJFREVFcdsFAgH69OmDhg0b4urVqxKMkBBCqg7NsSM/BKoOW7WePXsGa2trODo6Ys6cOTA1NYWRkRECAwOxa9culJSUYMCAAfD09OTaKygo0IjXO+Li4hAQEICMjAzo6upiyJAhsLGxwb59+3DhwgWkpaXB29sbgwcPBmMMb968QePGjaGrq8vNEKD3pbiHDx9i6NChGDNmDLy9vQEA48aNg5KSEjZt2gRNTU3MmzcPM2fOBFB64UhNTY0uXnzAixcv8OLFC6SkpKBz584QCARYsGABlJWVERAQAG1tbUydOhW//vorAODt27cAQOubf0BMTAzmzZuH4cOHw8XFBQAwadIkqKioYOfOndSf7xEIBJg+fTo6d+6MpUuXYtmyZVwFfAUFBXTs2BF79+5FXl7eT9tHhJAfByXdpMaLjo6GnZ0drK2tIS8vj7Vr16J9+/aYOHEi3NzcAJTeH7tixQq4uroiPz8fBw4cwNWrV7Fs2TJKbCoQGRmJ169fIyUlBevWrcPEiRNhamqK2rVrY8aMGRCJRGJTxw8ePAglJSXUqVNHglFXH9HR0ejQoQN69OiBzMxMREVFYc2aNdi7dy8cHR1hbm4u1p7H4+Hw4cOQkpKCoqKihKKu/gICAhATE4P9+/cDALy9vSEtLY3hw4dj0KBB3PJ0ZeLj42FoaIiCggIIBAL6rL8jMjISrq6u0NPTQ1RUFAwNDTFo0CCMHj0aCxcuxIQJE8Dn86GmpsYdk5aWBjMzMxQXF0NaWpr68x0lJSVYtmwZzpw5A3l5efD5fDg6OqJevXqYP38+Jk6cyC2tVuZn70+RSISmTZvi+PHjcHBwgEgkwtixY2Fvbw+g9CJGvXr1qAYDIeTHILkaboR8PaoO+208ffqUubi4sFWrVjELCws2atQolpiYWK7d1atX2cSJE5mysjL15//l5OQwBwcHNnXqVG7bgwcPmKamJtPV1WVHjx5ljJVWM2esdAkmb29vpqamRn34CcuWLWPNmzdnnp6erG3btmznzp0Vtnv48CGbPHkyU1FRodUIKpCUlMSMjY3ZggUL2OvXr1l+fj7r2bMnEwgEbOTIkeWWYoqPj2czZsxgKioqLDo6WjJB1wAzZ85kbdq0Ye3bt2c9evRg//zzj9h+oVDIGPv5+lMoFHK/797dxth/vwfDwsKYpaUla9GiBbOwsGBubm5MRUWFRUREfPd4CSHkW6B7ukmN9n512Ly8PK46rFAoxJ49exAbGwtjY2OcPXsWR48exebNm3Hp0iVYWlpKOvxqSSgUAgCePn2KESNGYNy4cQgLC4Ofnx86duyIMWPGcG0ZYygqKkJoaCj15//l5eUhJSUFXbp0AVA6mmNmZoa2bdtCV1cX3t7eiI+PB5/P50a4BAIBrly5Qn34CVZWVujcuTMWL14MPT097NixAydPnsSMGTMQHh4OoLQi8vnz5xEREYGQkJByswpI6Si3qqoqxo8fD3V1dcjJyWHOnDlQU1NDWFgYFi1ahMLCQgClU6B3796Ny5cvIzg4GE2aNJFw9NUP+3/tBmNjY/Tq1QsbN25Eamoqtm3bhvDwcMyaNYsrppaenv5T9eeDBw/g5eUFJycnjBkzBqdPnwZQWueibHULoVAIKysrHD9+HPPmzYOtrS3atm2LW7duwcLCQsKvgBBCqoiks35CvpRIJGKPHz9mcnJy7NChQ9z2xMRE1rp1a7Z3716mpqbGFi5cKMEoa4ayUYey/zLGWM+ePVloaChjjLHdu3czLS0tpqSkxA4ePCh2bH5+/vcLtAbIyMhgVlZWYrMvEhMTmZ6eHrt8+TLr2LEj69Wrl9jIT1FRkSRCrXEiIyOZpaUlKygoYFFRUWzo0KFMR0eH8Xg89uTJE67dmzdv2Nu3byUXaDW3fft2pq+vL/bZDQ4OZvb29mzUqFHMzMyMRUVFcfuSk5PZq1evJBFqtScSibj/v3r1KnNwcOD+387OjjVo0IDxeDz2+PFjrt3P0p8xMTFMVVWV9e/fn82aNYtZWFiwli1bssmTJ3NtCgsLGWPi/UgIIT8iGukmNQ5Vh61aMTExGDBgALKzsyElJcWN2pSUlHCVY0NCQlBcXIx69erh+vXrePjwIXe8nJycROKurhQUFNCpUycEBwfDw8MD69evh7m5Obp37w57e3u4uroiKSlJ7BgZGRkJRVtzCIVCaGpqgsfjoaSkBE2bNkVqaioyMzNhaWmJW7ducW01NTWpeNpHODs7Izs7G1OnTkVERARCQ0PRvXt3ODs7Y/PmzcjPz8fRo0cBlI7i6urqonbt2hKOunp5/Pgx7ty5w92Hzf6/VvmrV6/AGEP79u0hEAiQkpICOzs7sc/8z9CfjDEEBATAyckJ+/fvx/Lly3H16lW4u7sjODgYI0eOBADIysoCAE6cOIHXr19LMmRCCPmmKOkmNUpMTAw8PT259bWB0uqwc+fORUBAAPbt24epU6di8+bNAMSrw9Ka0eVFRESgbdu2OHz4MCIiIgCUJttA6RdzgUCAsWPH4uzZs7hz5w6mT5+OEydOwN/fH8XFxRKMvPpISkrCsWPHcPz4cdy9excyMjL49ddf0bNnT7x9+xZHjx7FnDlzuPVmFRUVUVxcTP33EW/fvsX9+/cRExOD9PR0AKVLhOnq6qJBgwZISEiAl5cXwsPDsWPHDjRr1gxLlizBoUOHJBx59RQXFwc/Pz/uglrdunWxf/9+HD16FN26dUP37t0xatQozJgxAwDQqFEjZGdnA6AK+hW5f/8+rK2tMWvWLG4JOx6PB3NzczRs2BAZGRnw8vJCdHQ0NmzYAABYuHAhQkJCJBn2d8Xj8fDixQu8fPmS26asrIyJEyfC09MT9+7dw4oVKwAAp0+fxvjx47Fu3Tq6OE4I+WFRSUhSY1B12Kr177//wsbGBlOmTMHFixexYcMG2NracqOuOjo66N27N7S1tXHq1Ck0atQIjRo1Ao/Hg729PY3OAoiKioKLiwv09PSQn5+P2NhY+Pj4YNq0aZg+fTqmT5+OzMxMqKqqcsfcuXMHjRo1Ap/Pl2Dk1Vd0dDS8vLxQWFiI169fo1u3bpg9ezZMTEwgEokgFArRqlUr1K5dGydPnkSLFi1gbGyMjRs3wtraWtLhVzu5ublwdHREYWEh0tLSsGjRIvB4PDg5OSE2NhYJCQmQkpLi7p0tu5e7fv36AEBLKr4nIiICNjY2MDY2RmxsLFJTU6GoqAiRSISSkhKkp6fD0NAQ8vLy3PuzYcOGWLVqFbcc1o+u7D3TokULxMfHIzY2FiYmJgBKE+9hw4YhNjYWJ0+exNSpU9GtWzcMGzYM3t7edHGcEPLjktjEdkK+AFWHrRr37t1jcnJybNasWYwxxvbs2cP09PRYcHAw1yYzM5P5+flxFbXfvd+bMPby5UvWqFEjNnfuXFZQUMDS0tLYH3/8waSkpNjYsWNZfHw8Y+y/exVv3brFpk2bxlRUVMTulyX/iY2NZdra2mz69OksOjqabd26lbVp04Zt3bqVa3P9+nXm4uLC7ty5I3ZsQUHB9w63RsjMzGRNmjRhbm5uzNbWls2dO/eDNQQyMjLYrFmzmLa2ttg9yKTUvXv3mKKiIluwYAFjjDFzc3Pm6ekp1ubAgQOsS5cuLCwsTGx7Xl7e9wqz2nj06BHT0tJiw4YNY9nZ2Yyx/34fPnv2jPF4PHby5ElJhkgIId8NJd2kRij7Q+3v789WrlzJIiMjmY2NDevVqxe7e/cumzlzJleY5u3bt2zevHmsZcuWLDw8XJJhV0svX75kxsbGbObMmdy2hw8fsoYNG7JFixYxxv7r7+LiYonEWBPcunWLtW3bVqwg0u3bt1mdOnWYlJQUmzRpEmOstC8LCwvZ1q1bWdOmTWkJnA/Izs5mAwYMYMOGDRPbPmzYMNamTRvuoo9IJGI5OTmSCLHGGjt2LNu7dy+bO3cus7Ky4j7n165d49pERESwKVOmsDp16tDvzQrExsaKXagUCoVswYIFzMLCgj19+pRrl5mZKVbEr+x36c9aKOzy5ctMIBCwcePGsdTUVG57SkoKs7CwYDdu3JBgdIQQ8v3QPB5SI5RNbzQ2Nsa5c+dgbm6OlStX4u3bt+jduzdWrlyJnJwcAIC6ujq3NEnz5s0lGXa1pKKigo0bN3L30zHGYGpqipEjR2LNmjVISEjg+ltamu5A+ZD09HTcvHkTr1694rbJycmhc+fO8PPzw7p163D27FnweDzIysril19+QUhICC2B8wHZ2dnQ0NBAt27dAPxXW6BLly5iU055PB4UFRUlEmNNU3Z/bEZGBpKSkjB//nx06dIF58+fh4mJCXr37o38/HwAgJmZGTp16oTQ0FD6vVmB8PBw+Pr6Yvny5QBKl7waOnQoHj9+jD179nDtVFRUxIr4lf0u/Vmn6Nvb2+Pw4cPYvn07Ro0ahYMHD+Lhw4fw8/PD69evoaenJ+kQCSHku6Ckm9QYIpGIqsNWAXl5eTg4OJTb7uzsjDp16uD8+fMAQAVtKlB2YQcALCws4OzsjLlz5+LEiRMICgpCx44doaWlhfHjx8Pd3R3Xrl0D8N89jhoaGpIKvdoqW41AR0cHnp6e6NWrFwBwibaGhgaKi4shEom4QmDvFmci5ZX1U9lnuFu3bnj06BEEAgGWL1+OjIwMJCcno1u3bpCXlwdQWkW6e/fuaNCggaTCrtb69++PcePGcY+FQiHq16+PCRMm4O+//0ZiYqLkgqvmXF1dcePGDaSlpWHmzJlwdXXF0aNHcfr0adSrV0/S4RFCyHdBSTepltLS0hAZGYnHjx9z1YulpKTQpEkTqg77BRISErBy5UrMmDED586dA/DfF/OyERhLS0uYm5tzVbapoI24+/fvo0ePHjh79iwAoE6dOvD29oa0tDQGDBgAb29vDB8+HGvWrAFQWsCq7Iv4zzrK9SmRkZGYPn06UlJSAABt2rQBUPreLHv/ZWRkIDU1FSUlJeDxeFi0aBEGDRqE/Px87j1MSuXk5CArK4tbeqlspoqGhgbCwsIAAMOHD0daWhr69OmDuLg4TJs2jfrxE8pmXbyrrBCinZ0dEhISEB0dDYAuVn5IixYtcOLECQQHByMwMBDXr1+nGRWEkJ8Kfasm1U5kZCRsbGzg4eGBNm3aoG/fvtzoa3FxMdLS0mBoaIhLly7hxIkTGD58OObNmweBQPDTVIf9HFFRUbC1tcXZs2dx9epVdO3aFZcuXRJLBIVCIQBgzpw5yMnJwfbt2yUVbrV0//59tGvXDubm5tDX1+e29+3bF7t27cLdu3dx4cIFrFq1CkDp6K2SkhJatGghqZCrvX///ReWlpZQU1ODjo4OAFSY/CkoKEBBQQFycnJYsGABfvvtN6xatQry8vJ0MeMd9+/fh4eHB9q1a4c+ffrA39+f22dmZgZ1dXX06tULZ8+eRUhICDZs2IBmzZohMjISb968kWDk1VNCQgJ2794NoPTixYeSaUdHRzg5OWHhwoXIzc2li5UfoaKiggYNGsDc3BxaWlqSDocQQr4vSd1MTkhFUlJSmJ6eHps6dSqLjY1l+/fvZ4MHD2YyMjLsr7/+YowxtnfvXubg4EDVYSshJSWFNWrUiM2fP58JhUL25s0b5ujoyAICAipsn5WVxZo2bco8PT2piNr/5eXlMScnJzZ27Fhu29OnT7kiVO9XdX/+/Dn79ddfmaamJouNjf2usdYUkZGRTF5ens2ZM4fbJhKJuArHjP3Xr8HBwczBwYFNmzaNCQSCcp97wlh0dDRTU1NjU6ZMYVu2bGEjR45kHTt2ZOnp6VwbKysrpqurK1YkLSMjQ6wQICkVFxfHtLS0WL169diff/7JbX//s15WHC0wMJDVqlWLXb58+bvGSQghpOagKkmkWklOToaGhgamTp2KunXrwtjYGHZ2dtDR0YGXlxeUlJQwcOBAODk5QVNTE8B/98vKyclJOPrqJyEhASoqKhg3bhykpKSgqakJeXl5XL16FZcvX0bbtm3Rv39/KCsrQyQSQVlZGRs3boSmpiYVUfu/goICvHr1CsuWLQMAuLi44OXLl9w65yNGjMCgQYMgIyODlJQUTJ48GTdv3sSFCxdgbGws4eirn6SkJNjY2MDR0RG//fYbAGDWrFmIiIhAXl4eOnTogKVLl3Ijhm/fvsXly5dx8+ZN3Lhxg2YPvCc5ORkeHh4YM2YM9x49d+4c/Pz8kJ+fj4yMDDRo0AAnTpxAbm4uGjVqBKB0GvS768eTUmlpaZg0aRJsbGygqamJvXv3QigUYtKkSZCSkoJIJOLem2UzLRwdHWFiYsKtbU4IIYS8j+ZBkWolPz8fkZGRSE1N5bbVqVMHs2bNwsSJEzF69GiEh4dzCTdA1WE/pqioCOHh4Xjw4AEAYMWKFThz5gwKCgrA5/MxatQorhovj8cDYwy2trZo3LixJMOuVsq+ZBcWFuKXX34Bj8fDhg0b8ODBA2hra2Pz5s0ICgoCUFoMbN68ebh69Srdr/gB8vLyqF+/PkpKSnDmzBm0bdsWd+7cgampKWxsbODn5wcPDw+uvY6ODjp06ICwsDBKuCvw6tUrdOnSBcOHD+e2Xbt2Dffu3UPbtm3h5OSEcePGQVdXl0u4AarZ8DGampoYPXo0Fi1aBAsLCxw4cAB+fn4AwCXeZYqLi6GgoIDg4GAYGBhIKmRCCCHVnaSH2glh7L9pem/fvmUODg5s1KhRLCUlRazNgwcPmK2tLfPz8xM7hpRX1je5ublsyJAhjMfjsa5duzIpKSl28uRJrt2+ffuYtLQ0i4mJkVSo1V5+fj5r1qwZ8/T0ZL/88gu7dOkSt6+goIC1adOGDRo0SIIR1jwvX75k1tbWTE5Ojrm7u7OXL19y+65du8bk5OTY1q1buW3vrntMxBUUFLCkpCTu8dq1a5mKigoLCAhgly5dYgcOHGACgYBt27ZNglHWDGXTx9+8ecNtS0hIYCNHjmRt2rRha9eu5bYXFRV99/gIIYTUXHSpm0hURkYGXr16hfj4eACla2w7Ojri6tWr2L9/P96+fcu1NTMzg6KiIq5cuQKARrYrkp6ejlevXiEhIQFAaREqf39/hIaGYuLEiXBwcECXLl0gFArBGEOtWrXQqFEjKCgoSDjy6iMzMxOPHz9GamoqioqKICcnh9WrV+PkyZPw9/dHZmYmgNLicwKBAG5ubnj58iVVgP6ImJgY/PrrrygsLARjDNra2jh58iT69OmDYcOGQVtbm2traWkJAwMDrqI5ALF1j0npFOjc3FwAgEAgQN26dbl9CgoKOH78OAYPHoxOnTqha9euMDU1FVtSkVSsbPRfTU0NQGnV8oYNG2LOnDkwNzfHgQMHsG7dOgDAmDFjuNsjCCGEkE+hpJtITHR0NNzc3ODg4AAXFxcsWbIEADBjxgw4ODhg48aN2Lx5s9iXbw0NDTRo0ICWZalAZGQkHBwc0L59e9jb28PLywtPnjwBALRu3Ro8Hg8xMTFITU0Fn88Hj8dDcHAwlJWVoaioKOHoq4fo6Gh06dIFrq6uaNasGfbt2wegtP8WLVoEBQUFHDx4kOtDAHj06BF0dHToPfkBUVFR6NChA548eYLExETweDwIhULUrl0bW7ZsQefOncXai0Qi1K5dm+6P/YBHjx5BX18fc+fORV5eHre97KLPiBEjYGdnJ7YkYK1atdCwYUOxdqTU48ePsWTJEkyaNAkrVqwAULocmEgkgrS0NBhjqF+/PubOnYtmzZrh4MGDaN26NQICAtClSxcJR08IIaSm4DH6C0wkoGwJppEjR8LGxgb379/HX3/9hfPnz3Nftn18fHDp0iXw+XzY2tri9evXOHHiBEJDQ9GkSRMJv4Lq5fnz52jdujW8vb3Rvn175OXlYfLkyahbty4WLVqELl264OXLl/Dy8kJJSQk6dOiAlJQUHDt2DJcvX4aFhYWkX4LExcXFoV27dhg8eDAGDhyILVu24PTp03j8+DHk5eXx5s0bHDx4ED4+PrCysoKBgQGkpaVx9OhRXL16FU2bNpX0S6h2Xr16hY4dO8LFxYVbv1wkEkEoFEJGRgbAf4UQy8ydOxf79u1DSEiI2PJspNSxY8cwYMAAMMbg7e0NPz8/CAQC8Hg87sLPu/drz5s3D/v378fly5fpQsZ7oqKi0LlzZ9ja2iI1NRVv3rzhRrTfVfYeffToETp37oysrCyEhITA3NxcQpETQgipaag8MfnuUlJSMGDAAIwePZobWWjQoAGuXLmCwsJC3L17F1ZWVli1ahVOnjyJa9euISwsDPr6+rh+/Tol3BWIiIiAuro6fHx8oKGhAQBwdnaGo6MjFixYABUVFbRr1w4TJ05EYGAgTp06hcaNGyMkJISSRZROFV+9ejWcnJzwxx9/AADq16+PlJQUPH36FIqKilBXV8e4ceNgZ2eHVatWITc3F6qqqrh27Rq9Jz/g5cuX0NXVxcqVK1FSUoIRI0YgKSkJSUlJGDJkCHr37g0jIyMAwKVLl7Bz506cO3cO58+fp4T7A+rVq4eePXtizJgxcHFxAQBs2bIFQOm081q1agEAwsPDsWPHDuzfvx+XLl2ihPs9z58/R9++fTF06FCsWLEC+fn5OH78OFauXInY2FiYmJhwbXk8HoqKirBhwwa8efMGoaGhlHATQgj5LJR0k++usLAQnTp1wuDBg7ltx48fx+3bt9G9e3fk5OSgdevWCAwMhKurK1xdXVFSUgIpKSmquPsBOTk5yM7O5pb5ys/Ph7KyMs6ePYsOHTpg5syZuHbtGtzd3eHq6oqCggJIS0tDIBBIOPLqgc/nIysrC4qKiigqKoKsrCz+/PNPXLx4EW5ubiguLka7du3w66+/okmTJvD39wefz0dJSQktrfYRz549Q3x8PDIzM+Hl5YXi4mL07dsX9+7dw9GjR/HgwQMsW7YMGhoayMnJQUlJCYKDg+kixkcYGRnhwYMHMDY2xp49ezBgwAAoKioiOzsbCgoK8PX1RWpqKi5duoSnT58iODiYEsT3MMZw4cIF1K1bF5MnTwZjDPLy8rCzs8P48ePx9OlTsaQbKK1S/uDBA+pPQgghX4S+LZLvrkGDBliwYAFXHGnHjh1Yt24dtmzZAlNTUxQVFaFz585YunQp5s2bBwCU2HxC+/btkZ6ejnXr1mHevHmQl5dHUVERVFVVcebMGZiammLDhg0YN24c+Hw+3cP9jrKpo+rq6jh16hTmzJmD3Nxc7Ny5E7t27YKtrS0uXbqEP//8E8HBwWLLLpXd100qpqenBy0tLQQFBUFGRgabNm3iRlx37NiBVatW4fHjx6hbty5cXFzg6OgIeXl5CUddfYlEIsjKyoLP5yMuLg7u7u64dOkS7OzswOPxcO3aNcjIyEBXVxdeXl4YOXIkrcVdAR6PBxMTE3h4eKBOnToASoumaWlpQUNDA4WFheWOUVRUxJkzZ+gzTwgh5IvQsCH5LgoLC1FUVMQ9frcasbq6Os6cOYN+/frBwsICrVq1grW1NZ4/fy6JUGuMsvs3RSIR9PT0sHTpUqxfvx7btm0DAMjKyqKkpATa2tqwsrJCcnKyJMOtdoqKilBSUgKhUAgA2LhxI7p16wagtCjdrFmz0L9/f9StWxdeXl4QCAS4fPkygP+SbaqgLy4xMRFhYWFcsS5LS0toaGjA09MT4eHhYjNVhg0bBikpKZw8eRJA6fuVEm5x2dnZKCgoAFB6cUhKSgoKCgqwtLTEq1evAJROLVdRUQGPx8OePXu44mra2tqUcH9EixYtMGrUKADgiqZJS0tDWVmZ63MACAgI4P6fEm5CCCFfipJu8s3FxMRg4MCB6NSpE9q3b4+nT58C+C9p7NmzJ9q0acO1LywshJycHDfFlGr9iSurAi0lJQWRSMQlMu7u7ujXrx+WL1+OjRs3AgD3RVIgEHCzBag/gYcPH2LkyJHo0KEDZs2ahVu3bgEANm3aBF9fX+jp6aF27doAwCXldevWhbGxMfXfB0RGRsLGxgb79u1DWloa9/kOCAiAjY0NXr16hVu3bqG4uBhA6fvQyMio3DReUio+Ph6dO3dGQEAA8vLyuKrvQOkqDmFhYRg7dizOnz+Pa9eu4dSpU/jzzz8xf/58eo9W4Pnz5zhw4AB8fX0RFRUldoFHSkqK67P8/Hzu/xcsWIAhQ4ZwS1oSQgghX4rm7JJvKioqCnZ2dujduzc6dOiAgwcPol+/frh58yakpKQgFAohJSUlNmK4ZMkSREZGcuuh0mjif2JjY2FmZgYFBQWEh4fD2NgYQqEQfD4f9evXx/jx4yEvLw8fHx+EhobCzMwMycnJuHHjBvXn/0VHR6NDhw7o3bs3rK2tcfbsWaioqKB169bcVHM+nw9/f3+4u7sjNzeXq/68ePHin77/KpKQkAAnJyd4eXlh6dKlXGVyoPRihZ+fH4YOHYqJEyciMTERhoaGuH37NkJDQ+Hr6yvByKuv3bt3486dO1BUVIS8vDz69OnDJYrt2rXDwIEDUadOHe72EVNTU5w/fx716tWj9+h7oqKi0LNnT2hqauLNmzeYP38+zpw5A3t7e+4zX1ZVv+y2nDVr1sDX1xdhYWFit5QQQgghX4KWDCPfzNOnT9G1a1e4urpyVcoDAwPx999/Y9u2bVBQUBBrHxoail27duHIkSO4cOECmjdvLomwq603b97Ay8sLsrKyyM/Px71793DlyhWYmppyiTcAZGZm4tatW1iyZAmkpaWhoKCA5cuXo1mzZhJ+BZKXlZUFd3d3WFtbc+/JxYsX4+nTp1i/fj34fD5kZWWRlJQEJycnJCQkwMDAACKRCPv374elpaVkX0A1tXXrVvzzzz8IDAxESUkJNm7ciOjoaBgbG8Pa2hodOnRAfn4+fvnlFzx8+BDZ2dmoXbs2NmzYQH36AadOncL+/fvBGEN4eDhmz56NwYMHQ0pKCpmZmVi+fDkGDhxIn+tPSEhIgJ2dHQYNGoRZs2ZBRkYGPj4+CA4Oxo0bN8pNwe/QoQNevXqF58+f48qVK2jZsqWEIieEEPIjoZFu8s3cvHkTrVq1wrRp07ht169fx+XLl2FjYwORSITJkyejf//+KCwsRGxsLDIyMhASEkLViyuQmJgIXV1deHh4oGnTphg1ahQ6duyIkJAQmJqacpW0VVVV4ejoCHt7e8jIyKCgoABycnKSDr9aEAqFSEtLQ+PGjbltb968wYMHD9C8eXO0aNECTk5O8Pb2RkREBA4ePAhdXV2YmJigbt26Eoy8egsLC+Muojk4OIAxBmVlZYSHh2Pfvn2YOHEihgwZgr179yI1NRWMMcjJyUFFRUXCkVdfPB4Pr1+/xoULF9C3b1/4+vpCVVUVf//9Nzw8PLBs2TJazeETiouLsXnzZrRt2xa//vorN1PA1dUV586dK9deKBQiMzMTCQkJCA8PpyrlhBBCqgyNdJNvKioqivvi8ueff2LSpElYs2YNrKyssHfvXvz999/cEkHZ2dmQkpKiytofERYWxo28PH/+HKNHj8adO3e4EW+RSAQej4f8/HwuCSqbPvmzY4whOTkZbm5uaNeuHVxdXXHjxg2sXLkSv//+O4DS+5IjIiKwfv16WFtbSzjimmPbtm04c+YMHB0dERgYiN27d0NHRwcxMTFYu3YtHj16hF27dqFevXqSDrXGyM/Ph6urK/755x/IyMjA09MTZ86cgVAoxNmzZ2FjY0Of7Urw9/fH48ePsWzZMm7b69ev0axZMwQFBcHY2FisQNrRo0dhYWEBQ0NDSYRLCCHkB0Uj3eSbKCvwVZZwZ2dnQyQSISgoCB07dgRQuszVoUOHcOrUKTRp0gTKysqSDLlaK+vPd6c66unpYcuWLRg1ahQ6dOjAJd6LFi2CkZERBg4cCB6PR1/K/4/H46FevXoYO3YsNm3ahISEBNy9exc7d+5E3759AQD37t2Do6Mjnjx5Qkn3Z9DT08PNmzeRkZGBBg0aQEdHBwBgamqKQYMGwcnJCcnJyZR0f6bk5GTcunUL7du3B5/PR0FBAXR1dfHs2TNYWFiUu0WHlDd8+PBy20QiEfh8PqSlpbmEOzw8HM2aNUPPnj3pdyYhhJAqR3PTSJXJzMzkKhO/P+1RWVkZY8aM4RJuoVCIZ8+ewdjYGBYWFt891prgY/1Zpl69eti6dStatWoFBwcHDBgwAIsWLULz5s3pi+N7yib1DB8+HGfPnsWOHTugqanJrdMLAAYGBjAwMKClgT6Ts7Mzxo4di5CQEPz777948uQJt69x48Zo2rQpVz2ffFpJSQnk5eXRrl07yMnJYezYsbh06RJu3LiB1q1bY8qUKTh58iRVKa+kd/tJJBKhqKgI0tLS3KyqmTNnwtnZGZmZmfR7kxBCyDdBSTepEvfv34ehoSF+//13bqmg971b0ZjP52P79u3Izc2l++YqUJn+LFO3bl2sX78ehYWFuHDhAsLDw8XuWSaleDwet1a8jIwM0tPTAZTe011UVATGGFatWoVXr16hdevWkgy1RiksLAQA+Pj4YM6cOYiIiICvry838u3r64u0tDQa5a4koVDIXaAwMDCAtbU1jh07hmPHjsHS0hJ79+6Fk5MTWrZsSQliJQiFQvB4PGRnZyMnJwdSUlIQCAQoLi6GSCTC/PnzsWHDBpw6dQqampqSDpcQQsgPioYeyFdLTk6Gl5cXtLW1sXTpUkhJSWH27NnlvhCWPb527RpOnDiBLVu2ICQkhApUvaey/VlGJBLB19cXWVlZuHfvHhWh+wChUAhZWVkkJibC3t4ep06dQrdu3dCvXz/Y2NhAXl4eUVFROH36NPT09CQdbo0gFAohEAiQkJCAzp074/Tp01BSUkJAQAD++usvGBkZITU1FSdOnIC2trakw632ylYhSEhIQJcuXTBz5kwMHToU48aNQ4sWLbj9O3fulHSoNUJZf5V95nfs2AF7e3tIS0tDTU0NEyZMwJkzZ3Djxg1YWVlJOlxCCCE/MEq6yVcRiUS4cuUKGjZsiIULFyI0NBSjR48GgAoTxbS0NJw9exYhISG4du0ajXK/53P7EwBiYmKQnJyMmzdvUsL9EXw+H8+ePYO1tTW6du2KJk2a4Pfff0fDhg0RHR3NLWFlZGQk6VBrjLI+bdOmDbp27QozMzOYmZmhd+/eSEpKAgCYmJhAV1dXwpHWDO/2p7u7O4YPH44BAwZw9S7otofP8+5n3tXVFXZ2dmCM4e3bt4iJiUFSUhJu375NtzgRQgj55qh6OflqsbGxSEhIgIuLC4DSNXvHjBmDJUuWYNasWeXuR87MzERRURFq1aoliXCrvcr257uVi7Ozs6kQ3SeIRCKsXr0az58/x9q1a2m5pSrwfp9S4b6v825//vHHH3Qf/Fd6tz/9/PzE3puLFy9Gz5496cIvIYSQ74KSblKlyqpsb9u2DaNHj8aSJUswe/ZslJSU4NChQzA3N0ezZs0kHWaN8bH+PHz4MBo3bgxLS0tJh1lj5Ofnc2v1ArScWlV4v0/J16H+rFr0mSeEEFId0GV0UiXKvsiUjR6OGDECADB69GgwxvD06VMcPnwY//77ryTDrDGoP7+N95MZ+vL99ShBrFrUn1WLPvOEEEKqA0q6yVcrK1aTnZ0NANw05xEjRkAkEmHMmDFQVVXFxYsXoa+vL8lQawTqT0IIIYQQQn4cdFMj+SrvVodt1qwZwsLCuH1FRUX4999/oaqqStVhK4n6kxBCCCGEkB8LJd3kq7xbHbZTp06ws7Pj9gUFBeHIkSO4cOECzMzMJBdkDUL9SQghhBBCyI+FCqmRr/Kx6rAvXrwAn8+n9Xk/A/UnIYQQQgghPxZKuslXo2q7VYv6kxBCCCGEkB8HJd2EEEIIIYQQQsg3Qvd0E0IIIYQQQggh3wgl3YQQQgghhBBCyDdCSTchhBBCCCGEEPKNUNJNCCGEEEIIIYR8I5R0E0IIIYQQQggh3wgl3YQQQgghhBBCyDdCSTchhBBCCCGEEPKNUNJNCCGEEEIIIYR8I5R0E0IIIYQQQggh3wgl3YQQQgghhBBCyDdCSTchhBDyFUJDQ8Hn89GtW7dy+xITE8Hj8RAREVHhsbt27YKamtpHn3/37t1o1aoVFBQUoKysjI4dO+LUqVPl2jHGsHXrVrRu3RpKSkpQU1NDy5YtsXbtWuTl5ZVrf/fuXfB4PNy8ebPC8zo4OKBXr14AgCFDhoDH44HH40FGRgYNGzbEjBkzUFBQUO64pKQkyMrKomnTphU+b9nzvH/ewsJCaGpqgsfjITg4+IP98W4s7/44OztzbRo0aFBuf7169T5r/9q1a8XOe+/ePXh4eEBbWxtycnJo1KgRRowYgbi4OADl/63LHlf0U/bad+3aVS52AMjIyKiwH4KCgtC1a1doampCQUEBjRs3xrRp05CcnIzhw4fD3NwcRUVFYsecOXMGsrKyCA8Pr7A/nzx5goEDB0JXVxdycnKoV68e3NzcEBMTU+lzlxEKhVizZg3Mzc0hJycHdXV1uLi44Pr162LPVfa6eTwepKSkoKOjg379+uHZs2di7ezs7Crsv9GjR1f4WgghpLqipJsQQgj5Cv7+/pgwYQKuXLmCFy9eVOlzT58+HaNGjUK/fv0QGRmJ27dvo3379nBzc8P69evF2g4ePBiTJ0+Gm5sbgoKCEBERgfnz5+P48eM4f/58uee2srKChYUFduzYUW5fYmIigoKCMHz4cG6bs7MzUlJSkJCQgDVr1mDLli1YsGBBuWN37dqFvn37IisrC7du3arwdenp6WHnzp1i2wIDA6GkpFSpfimL5d2f/fv3i7VZvHix2P579+591v53nTp1Cm3atEFhYSH27t2Lhw8fYs+ePVBVVcX8+fM/GuvFixfLxWplZcXtl5aWxsWLFxEUFPTR59myZQs6d+6MOnXq4MiRI3jw4AE2b96MzMxMrF69GmvWrEF2drbYv0lGRgZGjBiB+fPno0WLFuWes7i4GF26dEFmZiaOHj2K2NhYHDx4EObm5sjIyKj0uYHSiz79+/fH4sWLMWnSJDx8+BDBwcHQ09ODnZ0djh07JnZuFRUVpKSkIDk5GUeOHEFsbCw8PDzKxThixIhy/bdy5cqP9hUhhFQ7jBBCCCFfJDs7mykpKbGYmBjWr18/9ttvv4ntf/LkCQPA7t27V+HxO3fuZKqqqhXuCw0NZQDYunXryu2bOnUqk5GRYc+ePWOMMXbw4EEGgB07dqxcW5FIxDIyMio8x7p165iKigrLzc0V275gwQKmq6vLSkpKGGOMeXt7Mzc3N7E2vXr1Ys2bNy93LgMDA3b27Fk2c+ZMNmLEiHLnBMDmzZvHVFRUWF5eHre9S5cubP78+QwACwoKqjDeD8Xyvvr167M1a9ZUyf7c3FympaXF3N3dK2ybnp7OGCv/b/2pf3vG/vv3HzFiBLO2thZ7znf74fnz50xWVpZNnjz5ozFcvnyZycjIsJs3bzLGSvuqVatWrLi4uMLj7t27xwCwxMTED8ZY2XMfOHCAAWAnTpwo16ZXr15MU1OT5eTkiL3ud61bt44BYJmZmdy2jh07skmTJn0wNkIIqSlopJsQQgj5QocOHYKpqSlMTEzg6emJHTt2gDFWJc+9f/9+KCkpYdSoUeX2TZs2DcXFxThy5AgAYO/evTAxMYGbm1u5tjweD6qqqhWeY9CgQSgsLMTff//NbWOMYffu3RgyZAj4fH6Fx0VHR+PGjRuQlZUV2x4UFIS8vDx07twZnp6eOHDgAHJzc8sdb2VlhQYNGnDxP3v2DFeuXMHgwYM/0BuSc+7cObx58wYzZsyocP+nbg+ojIULFyIqKkrs3+Fdhw8fRlFR0SdjsLe3x9ixY+Ht7Y3Dhw/j0KFDCAgIgLS0dIXH1apVC1JSUvj7778hFAq/6tz79u2DsbExXF1dy7WZNm0a0tLScOHChQqf4/Xr1wgMDASfz//ge44QQmoySroJIYSQL+Tv7w9PT08ApVOeMzMzERISUiXPHRcXB0NDw3KJLQDo6upCRUWFu584Pj4eJiYmn30ODQ0N9OzZU2yKeVBQEBITEzF06FCxtqdOnYKSkhLk5ORgbm6O169fw8fHR6yNv78/+vfvDz6fj6ZNm8LAwACHDx+u8NzDhg3jzrtr1y507doVtWrVqlTcZbG8+7Ns2TKxNjNnzhTbv27dus/aXyY+Ph4AYGpqWqnY3te2bdtysb5PV1cXkyZNwty5c1FSUlJhDCoqKtDR0fnk+ZYvXw4A6N+/P5YtW/bRuOvWrYt169bh119/hbq6Ojp16oQlS5YgISHhs88dFxcHMzOzCveVbS97vwJAZmYmlJSUoKioCG1tbQQFBWHcuHFQVFQUO3bjxo3l+m/v3r0f7wRCCKlmKr70SQghhJCPio2Nxe3btxEYGAig9N7cfv36wd/fH3Z2dlVyjsqOmn/N6PqwYcPg5OSEx48fw9DQEDt27EDHjh1hZGQk1s7e3h6bNm1Cbm4u1qxZA2lpafTu3Zvbn5GRgaNHj+LatWvcNk9PT/j7+2PIkCHlzuvp6YlZs2YhISEBu3bt+mDSW5GyWN6loaEh9tjHx0fsvFpaWp+1v8zXzlw4ePDgB5PRd82cORNbtmzBjh070Ldv33Ix8Hi8Sp1PXl4e06dPx5QpUzBp0qRPth83bhy8vLwQHByMmzdv4vDhw1i2bBlOnDiBLl26fNa5P6evlJWVER4ejuLiYvzzzz/Yu3cvfvvtt3LtBg0ahLlz54pt09bWrvR5CCGkOqCkmxBCCPkC/v7+KCkpga6uLreNMQaBQID169d/cEp3ZRkbG+PatWsoKioqN9r94sULZGVlwdjYmGv7frXpynJwcIC+vj527doFHx8fHD16FFu2bCnXTlFRkUvEd+zYAQsLC/j7+3PF1vbt24eCggK0bt2aO4YxBpFIhLi4OC7WMpqamujevTuGDx+OgoICuLi4IDs7u1IxvxvLh2hpaX20zaf2lymLOyYmBjY2NpWK7116enqVOo+amhpmz56NRYsWoXv37uViyMzMREpKSqVGu6WlpcHn8yudLCsrK8PV1RWurq5YunQpnJycsHTpUnTp0qXS5zY2NsbDhw8r3Fe2/d33gJSUFNcvZmZmePz4McaMGYO//vpL7FhVVdVK9R8hhFRnNL2cEEII+UwlJSUICAjA6tWrERERwf38+++/0NXVLVdJ+0v0798fOTk5FSbAvr6+kJGR4UaaBw4ciLi4OBw/frxcW8YYMjMzP3geKSkpDB06FLt378a+ffsgKyuLPn36fDQ2KSkpzJkzB/PmzUN+fj6A0osQ06ZNK9cftra2FVZIB0pH2YODg+Hl5VVt7+V1dHSElpbWBytmv1vl+2tNmDABUlJS8PPzE9vep08fyMrKfpcYeDweTE1NuXvxK3vu/v37Iz4+HidPnizXZvXq1dDU1ESXLl0+eN5Zs2bh4MGDH1zajBBCajIa6SaEEEI+06lTp5Ceno7hw4eXG9Hu3bs3/P39xdYSjo2NLfccTZo0AVC6tvH763gLBALY2Nhg0qRJ8PHxQVFREdzd3VFcXIw9e/bAz88Pa9euhZ6eHgCgb9++CAwMxIABAzBv3jw4OjqiVq1aiIqKwpo1azBhwgS4u7t/8PUMHToUixcvxpw5czBgwADIy8t/sg88PDzg4+ODDRs2oHPnzggPD8fevXvL3UM8YMAALF68GEuXLi1X0MvZ2RmpqalQUVH55PneVVhYiJcvX4ptk5aW/uAU8a+hqKiI7du3w8PDAz169MDEiRNhZGSEN2/e4NChQ3j27BkOHDjwwePT0tLKxaqmpgY5OblybeXk5LBo0SKMGzdObLuenh7WrFmD8ePHIysrC15eXmjQoAGSkpIQEBAAJSUlbumuzxEREYEFCxZg8ODBaNy4MWRlZRESEoIdO3Zg5syZn3Xu/v374/Dhw/D29saqVavg4OCArKwsbNiwASdOnMDhw4fL3a/9/mvs2bMnfv31V7F16PPy8sr1n0AggLq6+me/XkIIkRgJVU0nhBBCaqzu3buzrl27Vrjv1q1bDAD7999/uWWjKvp5/vw527lzZ4X7DA0Nuefz9/dnVlZWTE5OjikqKjJbW9sKl2USCoVs06ZNrFWrVkxBQYGpqKgwKysr5ufnJ7Y014c4OjoyAOz27dvl9n1oma7ly5ezWrVqsV9++YU1bty4wudNSUlhUlJS7Pjx44yx0iXDAgMDK2z7/lJZFfH29q6wz0xMTLg2VblkWJk7d+6wXr16sVq1ajGBQMCMjIzYyJEjWXx8PGPsw0uGVfSzf/9+xljFS2eVlJSwxo0bV9gPFy5cYE5OTkxdXZ3JyckxU1NTNn36dPbixQuxdh9biu5dqampbOLEiaxp06ZMSUmJKSsrM3Nzc+br68uEQuFnn7u4uJitWrWKNWnShMnKyjIVFRXm5OTErl27Vqn4ypbJu3XrFmOsdMmwivrPycnpk6+NEEKqEx5jVbS2CSGEEEIIIYQQQsTQPd2EEEIIIYQQQsg3Qkk3IYQQQgghhBDyjVDSTQghhBBCCCGEfCOUdBNCCCGEEEIIId8IJd2EEEIIIYQQQsg3Qkk3IYQQQgghhBDyjVDSTQghhBBCCCGEfCOUdBNCCCGEEEIIId8IJd2EEEIIIYQQQsg3Qkk3IYQQQgghhBDyjVDSTQghhBBCCCGEfCOUdBNCCCGEEEIIId/I/wD+63GxyICLUAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "low_alloc_vram_score_jobs = no_vram_constraint_efficiency_analysis.sort_and_filter_records_with_metrics(\n", + " metrics_df_name_enum=MetricsDataFrameNameEnum.JOBS,\n", + " sorting_key=\"alloc_vram_efficiency_score\",\n", + " ascending=True, # Sort by alloc_vram_efficiency_score in ascending order\n", + " filter_criteria={\n", + " \"alloc_vram_efficiency_score\": {\"max\": -10, \"inclusive\": True}, # score threshold\n", + " },\n", + ")\n", + "# Display top inefficient users by alloc_vram_efficiency_score\n", + "print(\"\\nTop inefficient Jobs by allocated VRAM efficiency score:\")\n", + "\n", + "display(low_alloc_vram_score_jobs.head(5))\n", + "\n", + "jobs_with_metrics_visualizer = JobsWithMetricsVisualizer(low_alloc_vram_score_jobs.head(10))\n", + "jobs_with_metrics_visualizer.visualize(\n", + " column=\"alloc_vram_efficiency_score\",\n", + " bar_label_columns=[\"alloc_vram_efficiency_score\", \"job_hours\"],\n", + " figsize=(10, 6),\n", + ")" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/Resource Hoarding.ipynb b/notebooks/module_demos/Resource Hoarding.ipynb similarity index 97% rename from notebooks/Resource Hoarding.ipynb rename to notebooks/module_demos/Resource Hoarding.ipynb index 4fcd882..120fa0a 100644 --- a/notebooks/Resource Hoarding.ipynb +++ b/notebooks/module_demos/Resource Hoarding.ipynb @@ -77,7 +77,7 @@ "metadata": {}, "outputs": [], "source": [ - "project_root = str(Path.cwd().resolve().parent)\n", + "project_root = str(Path.cwd().resolve().parent.parent)\n", "print(f\"Project root: {project_root}\")\n", "os.environ[\"OUTPUT_MODE\"] = \"\"" ] @@ -112,7 +112,7 @@ "source": [ "# Load the jobs DataFrame from DuckDB\n", "preprocessed_jobs_df = ea.load_preprocessed_jobs_dataframe_from_duckdb(\n", - " db_path=\"../data/slurm_data.db\",\n", + " db_path=Path(project_root) / \"data/slurm_data.db\",\n", " table_name=\"Jobs\",\n", ")\n", "display(preprocessed_jobs_df.head(10))\n", @@ -218,9 +218,19 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "id": "16", "metadata": {}, + "outputs": [], + "source": [ + "inefficient_jobs_hoarding_ram[:10]" + ] + }, + { + "cell_type": "markdown", + "id": "17", + "metadata": {}, "source": [ "#### [Find most inefficient jobs hoarding CPU cores based on `core_hoarding_fraction_diff`](#toc0_)" ] @@ -228,7 +238,7 @@ { "cell_type": "code", "execution_count": null, - "id": "17", + "id": "18", "metadata": {}, "outputs": [], "source": [ @@ -253,7 +263,7 @@ }, { "cell_type": "markdown", - "id": "18", + "id": "19", "metadata": {}, "source": [ "## [Analyze Users Hoarding Resources:](#toc0_)\n" @@ -261,7 +271,7 @@ }, { "cell_type": "markdown", - "id": "19", + "id": "20", "metadata": {}, "source": [ "#### [Generate all hoarding analysis metrics for users:](#toc0_)" @@ -270,7 +280,7 @@ { "cell_type": "code", "execution_count": null, - "id": "20", + "id": "21", "metadata": {}, "outputs": [], "source": [ @@ -280,7 +290,7 @@ }, { "cell_type": "markdown", - "id": "21", + "id": "22", "metadata": {}, "source": [ "#### [Find most inefficient users hoarding node RAM based on `expected_value_ram_hoarding_fraction_diff`](#toc0_)" @@ -289,7 +299,7 @@ { "cell_type": "code", "execution_count": null, - "id": "22", + "id": "23", "metadata": {}, "outputs": [], "source": [ @@ -319,7 +329,7 @@ }, { "cell_type": "markdown", - "id": "23", + "id": "24", "metadata": {}, "source": [ "#### [Find most inefficient users hoarding CPU cores based on `expected_value_core_hoarding_fraction_diff`](#toc0_)" @@ -328,7 +338,7 @@ { "cell_type": "code", "execution_count": null, - "id": "24", + "id": "25", "metadata": {}, "outputs": [], "source": [ diff --git a/notebooks/SlurmGPU.ipynb b/notebooks/mvp/SlurmGPU.ipynb similarity index 99% rename from notebooks/SlurmGPU.ipynb rename to notebooks/mvp/SlurmGPU.ipynb index a25eec5..8023e5a 100644 --- a/notebooks/SlurmGPU.ipynb +++ b/notebooks/mvp/SlurmGPU.ipynb @@ -2,8 +2,8 @@ "cells": [ { "cell_type": "code", - "execution_count": 13, - "id": "40e2ae10", + "execution_count": null, + "id": "0", "metadata": {}, "outputs": [], "source": [ @@ -16,24 +16,6 @@ " print(f\"Added {parent_dir} to sys.path\")" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "0", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "from pathlib import Path\n", - "\n", - "project_root = str(Path.cwd().resolve().parent)\n", - "print(f\"Project root: {project_root}\")\n", - "\n", - "if project_root not in sys.path:\n", - " sys.path.append(project_root)\n", - " print(f\"Added project root to sys.path: {project_root}\")" - ] - }, { "cell_type": "code", "execution_count": null, @@ -68,8 +50,8 @@ }, { "cell_type": "code", - "execution_count": 15, - "id": "ac722fed-aeee-4dc5-8322-784842481ab1", + "execution_count": null, + "id": "3", "metadata": {}, "outputs": [], "source": [ @@ -79,8 +61,8 @@ }, { "cell_type": "code", - "execution_count": 16, - "id": "11480943-6fa5-4685-9c5a-5c1213e46387", + "execution_count": null, + "id": "4", "metadata": {}, "outputs": [ { @@ -119,8 +101,8 @@ }, { "cell_type": "code", - "execution_count": 17, - "id": "2feec163-848c-4510-942e-b0150ed8e708", + "execution_count": null, + "id": "5", "metadata": {}, "outputs": [ { @@ -153,8 +135,8 @@ }, { "cell_type": "code", - "execution_count": 18, - "id": "78b09a34-fb43-4be2-9585-21eac1bca739", + "execution_count": null, + "id": "6", "metadata": {}, "outputs": [ { @@ -182,8 +164,8 @@ }, { "cell_type": "code", - "execution_count": 19, - "id": "3f30cf45-a64f-496b-94e1-4dcfd744540a", + "execution_count": null, + "id": "8", "metadata": {}, "outputs": [ { @@ -237,8 +219,8 @@ }, { "cell_type": "code", - "execution_count": 20, - "id": "e7098f34-ebc5-44ad-8453-831fb3e4133f", + "execution_count": null, + "id": "9", "metadata": {}, "outputs": [ { @@ -258,8 +240,8 @@ }, { "cell_type": "code", - "execution_count": 21, - "id": "2d91abc3-8f36-44fa-895b-e0e91b2e0bc9", + "execution_count": null, + "id": "10", "metadata": {}, "outputs": [ { @@ -296,4 +278,4 @@ }, "nbformat": 4, "nbformat_minor": 5 -} \ No newline at end of file +} diff --git a/pyproject.toml b/pyproject.toml index 9f49ca7..ab31e3d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -75,7 +75,7 @@ ignore = [ # Ignore some rules in Benjamin's file "mvp_scripts/*" = ["N", "NPY", "PD", "D100", "TD", "ANN"] -"notebooks/SlurmGPU.ipynb" = ["N", "NPY", "PD", "D100", "TD", "ANN"] +"notebooks/mvp/SlurmGPU.ipynb" = ["N", "NPY", "PD", "D100", "TD", "ANN"] [tool.ruff.lint.isort] # Combine multiple 'as' imports on a single line (e.g., import foo as bar, baz as qux) @@ -131,5 +131,5 @@ exclude = [ "mvp_scripts/cpu_metrics.py", "mvp_scripts/gpu_metrics.py", "mvp_scripts/zero_gpu_usage_list.py", - "notebooks/SlurmGPU.ipynb" + "notebooks/mvp/SlurmGPU.ipynb" ] diff --git a/scripts/clean_notebook.sh b/scripts/clean_notebook.sh index f238d15..883c890 100755 --- a/scripts/clean_notebook.sh +++ b/scripts/clean_notebook.sh @@ -16,33 +16,47 @@ tmpnotebook=$(mktemp) # Ensure temp files are cleaned up on exit or error trap 'rm -f "$tmpjson" "$tmpnotebook"' EXIT -# Check if the notebook is in the exclude list +# Always strip metadata. Only strip outputs if notebook NOT in exclude list. + +# Check if input file is empty +if [ ! -s "$fname" ]; then + echo "Error: Input file $fname is empty" >&2 + exit 1 +fi + +# Convert notebook to JSON and assign sequential cell IDs with jq (array-safe) +if ! cat "$fname" | \ + jq 'if .cells then .cells |= [ range(0; length) as $i | .[$i] as $cell | ($cell | (if has("execution_count") then .execution_count = null else . end) + {id: ($i|tostring)}) ] else . end' > "$tmpjson"; then + echo "Error: jq failed for $fname" >&2 + exit 2 +fi + +# Validate JSON +if [ ! -s "$tmpjson" ] || ! jq empty "$tmpjson" 2>/dev/null; then + echo "Error: $tmpjson is not valid JSON after jq for $fname" >&2 + exit 3 +fi + +BASE_NBCONVERT_ARGS=(--to=notebook --stdin --stdout --log-level=ERROR) + if grep -Fxq "$(basename "$fname")" "$EXCLUDE_FILE" 2>/dev/null; then - cat "$fname" -else - # Check if input file is empty - if [ ! -s "$fname" ]; then - echo "Error: Input file $fname is empty" >&2 - exit 1 - fi - # Convert notebook to JSON and assign sequential cell IDs with jq (array-safe) - if ! cat "$fname" | \ - jq 'if .cells then .cells |= [ range(0; length) as $i | .[$i] as $cell | ($cell + {id: ($i|tostring)}) ] else . end' > "$tmpjson"; then - echo "Error: jq failed for $fname" >&2 - exit 2 - fi - # Check if tmpjson is valid and not empty - if [ ! -s "$tmpjson" ] || ! jq empty "$tmpjson" 2>/dev/null; then - echo "Error: $tmpjson is not valid JSON after jq for $fname" >&2 - exit 3 + # Excluded: keep outputs, strip metadata only + if ! jupyter nbconvert "${BASE_NBCONVERT_ARGS[@]}" < "$tmpjson" | \ + jupyter nbconvert --ClearMetadataPreprocessor.enabled=True \ + --TagRemovePreprocessor.enabled=True --ClearMetadataPreprocessor.preserve_cell_metadata_mask='[("tags")]' \ + "${BASE_NBCONVERT_ARGS[@]}" > "$tmpnotebook"; then + echo "Error: nbconvert (metadata-only) failed for $fname" >&2 + exit 4 fi - # Convert JSON back to notebook and strip outputs/metadata - if ! jupyter nbconvert --to=notebook --stdin --stdout --log-level=ERROR < "$tmpjson" | \ +else + # Not excluded: strip outputs and metadata + if ! jupyter nbconvert "${BASE_NBCONVERT_ARGS[@]}" < "$tmpjson" | \ jupyter nbconvert --ClearOutputPreprocessor.enabled=True --ClearMetadataPreprocessor.enabled=True \ --TagRemovePreprocessor.enabled=True --ClearMetadataPreprocessor.preserve_cell_metadata_mask='[("tags")]' \ - --to=notebook --stdin --stdout --log-level=ERROR > "$tmpnotebook"; then - echo "Error: nbconvert failed for $fname" >&2 + "${BASE_NBCONVERT_ARGS[@]}" > "$tmpnotebook"; then + echo "Error: nbconvert (outputs+metadata) failed for $fname" >&2 exit 4 fi - cat "$tmpnotebook" fi + +cat "$tmpnotebook" diff --git a/scripts/strip_notebook_exclude.txt b/scripts/strip_notebook_exclude.txt index 05299ee..fb44d93 100644 --- a/scripts/strip_notebook_exclude.txt +++ b/scripts/strip_notebook_exclude.txt @@ -1 +1,5 @@ SlurmGPU.ipynb +Requested and Used VRAM.ipynb +No VRAM Use Analysis.ipynb +Efficiency Analysis.ipynb +Attribute Visualization.ipynb \ No newline at end of file diff --git a/src/__init__.py b/src/__init__.py index 12bffbd..3299824 100644 --- a/src/__init__.py +++ b/src/__init__.py @@ -1 +1 @@ -from .preprocess.preprocess import preprocess_data as preprocess_data +from .preprocess import Preprocess as Preprocess diff --git a/src/analysis/__init__.py b/src/analysis/__init__.py index 3e2ecee..68d7c89 100644 --- a/src/analysis/__init__.py +++ b/src/analysis/__init__.py @@ -1,5 +1,5 @@ from .efficiency_analysis import ( - EfficiencyAnalysis as EfficiencyAnalysis, - load_preprocessed_jobs_dataframe_from_duckdb as load_preprocessed_jobs_dataframe_from_duckdb + EfficiencyAnalysis as EfficiencyAnalysis, + load_preprocessed_jobs_dataframe_from_duckdb as load_preprocessed_jobs_dataframe_from_duckdb, ) from .hoarding import ResourceHoarding as ResourceHoarding diff --git a/src/analysis/efficiency_analysis.py b/src/analysis/efficiency_analysis.py index bd0f134..a27e9c9 100644 --- a/src/analysis/efficiency_analysis.py +++ b/src/analysis/efficiency_analysis.py @@ -12,7 +12,7 @@ from src.config.enum_constants import FilterTypeEnum, MetricsDataFrameNameBase, MetricsDataFrameNameEnum from pydantic import validate_call, AfterValidator, SkipValidation from src.database import DatabaseConnection -from src.preprocess.preprocess import preprocess_data +from src.preprocess import Preprocess def load_preprocessed_jobs_dataframe_from_duckdb( @@ -20,6 +20,7 @@ def load_preprocessed_jobs_dataframe_from_duckdb( table_name: str = "Jobs", sample_size: int | None = None, random_state: pd._typing.RandomState | None = None, + anonymize: bool = False, ) -> pd.DataFrame: """ Load jobs DataFrame from a DuckDB database and preprocess it. @@ -29,6 +30,7 @@ def load_preprocessed_jobs_dataframe_from_duckdb( table_name (str, optional): Table name to query. Defaults to 'Jobs'. sample_size (int, optional): Number of rows to sample from the DataFrame. Defaults to None (no sampling). random_state (pd._typing.RandomState, optional): Random state for reproducibility. Defaults to None. + anonymize (bool, optional): Whether to anonymize the DataFrame. Defaults to False. Returns: pd.DataFrame: DataFrame containing the table data. @@ -39,11 +41,15 @@ def load_preprocessed_jobs_dataframe_from_duckdb( if isinstance(db_path, Path): db_path = db_path.resolve() try: - db = DatabaseConnection(str(db_path)) + db = DatabaseConnection(str(db_path), anonymize=anonymize) jobs_df = db.fetch_all_jobs(table_name=table_name) - processed_data = preprocess_data( - jobs_df, min_elapsed_seconds=0, include_failed_cancelled_jobs=False, include_cpu_only_jobs=False + processed_data = Preprocess().preprocess_data( + jobs_df, + min_elapsed_seconds=0, + include_failed_cancelled_jobs=False, + include_cpu_only_jobs=False, + anonymize=anonymize, ) if sample_size is not None: processed_data = processed_data.sample(n=sample_size, random_state=random_state) @@ -213,7 +219,9 @@ def apply_numeric_filter( def filter_jobs_for_analysis( self, + requested_vram_filter: int | float | list | set | tuple | dict | pd.api.typing.NAType | None = None, vram_constraint_filter: int | float | list | set | tuple | dict | pd.api.typing.NAType | None = None, + partition_constraint_filter: int | float | list | set | tuple | dict | pd.api.typing.NAType | None = None, gpu_mem_usage_filter: int | float | dict | None = None, allocated_vram_filter: int | float | list | set | tuple | dict | None = None, gpu_count_filter: int | float | list | set | tuple | dict | None = None, @@ -223,12 +231,24 @@ def filter_jobs_for_analysis( Filter jobs based on VRAM constraints, GPU allocation, and usage criteria. Args: + requested_vram_filter: + - None: no filtering on requested_vram + - int | float : select rows where requested_vram == value + - list/set/tuple: select rows where requested_vram is in the values provided + - dict with 'min'/'max' and required 'inclusive' (bool): select rows in the range + - pd.NA or : select rows where requested_vram is Nullable Int64 (i.e., pd.NA) vram_constraint_filter: - None: no filtering on vram_constraint - int | float : select rows where vram_constraint == value - list/set/tuple: select rows where vram_constraint is in the values provided - dict with 'min'/'max' and required 'inclusive' (bool): select rows in the range - pd.NA or : select rows where vram_constraint is Nullable Int64 (i.e., pd.NA) + partition_constraint_filter: + - None: no filtering on partition_constraint + - int | float : select rows where partition_constraint == value + - list/set/tuple: select rows where partition_constraint is in the values provided + - dict with 'min'/'max' and required 'inclusive' (bool): select rows in the range + - pd.NA or : select rows where partition_constraint is Nullable Int64 (i.e., pd.NA) gpu_mem_usage_filter: the unit is bytes to match the GPUMemUsage column - None: no filtering on GPUMemUsage - int | float : select rows where GPUMemUsage == value @@ -254,6 +274,30 @@ def filter_jobs_for_analysis( mask = pd.Series([True] * len(self.jobs_df), index=self.jobs_df.index) + # requested_vram + if requested_vram_filter is not None: + try: + mask &= EfficiencyAnalysis.apply_numeric_filter( + self.jobs_df["requested_vram"], + requested_vram_filter, + set(FilterTypeEnum.__members__.values()), + "requested_vram_filter", + ) + except ValueError as e: + raise ValueError("Invalid requested_vram_filter.") from e + + # partition_constraint + if partition_constraint_filter is not None: + try: + mask &= EfficiencyAnalysis.apply_numeric_filter( + self.jobs_df["partition_constraint"], + partition_constraint_filter, + set(FilterTypeEnum.__members__.values()), + "partition_constraint_filter", + ) + except ValueError as e: + raise ValueError("Invalid partition_constraint_filter.") from e + # vram_constraint if vram_constraint_filter is not None: try: @@ -338,9 +382,9 @@ def calculate_job_efficiency_metrics( filtered_jobs["used_vram_gib"] / filtered_jobs["allocated_vram"] ) - # Compute vram_constraint_efficiency, a nullable float in the range [0, 1]. Set to NA if vram_constraint is NA - filtered_jobs.loc[:, "vram_constraint_efficiency"] = ( - filtered_jobs["used_vram_gib"] / filtered_jobs["vram_constraint"] + # Compute requested_vram_efficiency, a nullable float in the range [0, 1]. Set to NA if requested_vram is NA + filtered_jobs.loc[:, "requested_vram_efficiency"] = ( + filtered_jobs["used_vram_gib"] / filtered_jobs["requested_vram"] ) # Calculate job allocated VRAM efficiency score @@ -350,15 +394,15 @@ def calculate_job_efficiency_metrics( np.log(alloc_vram_eff.where(alloc_vram_eff > 0)) * filtered_jobs["vram_hours"] ).where(alloc_vram_eff > 0, -np.inf) - # Calculate vram_constraint_efficiency score - vram_constraint_eff = filtered_jobs["vram_constraint_efficiency"] + # Calculate requested_vram_efficiency score + requested_vram_eff = filtered_jobs["requested_vram_efficiency"] # Avoid log(0) and propagate pd.NA: if NA, score is NA; if 0, score is -np.inf score = pd.Series(pd.NA, index=filtered_jobs.index, dtype=pd.Float64Dtype()) - mask_valid = vram_constraint_eff.notna() & (vram_constraint_eff > 0) - mask_zero = vram_constraint_eff.notna() & (vram_constraint_eff == 0) - score[mask_valid] = np.log(vram_constraint_eff[mask_valid]) * filtered_jobs.loc[mask_valid, "vram_hours"] + mask_valid = requested_vram_eff.notna() & (requested_vram_eff > 0) + mask_zero = requested_vram_eff.notna() & (requested_vram_eff == 0) + score[mask_valid] = np.log(requested_vram_eff[mask_valid]) * filtered_jobs.loc[mask_valid, "vram_hours"] score[mask_zero] = -np.inf - filtered_jobs.loc[:, "vram_constraint_efficiency_score"] = score + filtered_jobs.loc[:, "requested_vram_efficiency_score"] = score # Add CPU memory metrics if available if {"CPUMemUsage", "Memory", "CPUs"}.issubset(self.jobs_df.columns): @@ -401,8 +445,8 @@ def calculate_user_efficiency_metrics(self) -> pd.DataFrame: user_job_hours=("job_hours", "sum"), pi_account=("Account", "first"), avg_alloc_vram_efficiency_score=("alloc_vram_efficiency_score", EfficiencyAnalysis.avg_non_inf), - avg_vram_constraint_efficiency_score=( - "vram_constraint_efficiency_score", + avg_requested_vram_efficiency_score=( + "requested_vram_efficiency_score", EfficiencyAnalysis.avg_non_inf, ), ) @@ -421,14 +465,14 @@ def calculate_user_efficiency_metrics(self) -> pd.DataFrame: .to_numpy() ) - self.jobs_with_efficiency_metrics.loc[:, "weighted_vram_constraint_efficiency"] = ( - self.jobs_with_efficiency_metrics["vram_constraint_efficiency"] + self.jobs_with_efficiency_metrics.loc[:, "weighted_requested_vram_efficiency"] = ( + self.jobs_with_efficiency_metrics["requested_vram_efficiency"] * self.jobs_with_efficiency_metrics["vram_hours"] / user_vram_hours_per_job ).astype(pd.Float64Dtype()) - users_w_efficiency_metrics.loc[:, "expected_value_vram_constraint_efficiency"] = ( - self.jobs_with_efficiency_metrics.groupby("User", observed=True)["weighted_vram_constraint_efficiency"] + users_w_efficiency_metrics.loc[:, "expected_value_requested_vram_efficiency"] = ( + self.jobs_with_efficiency_metrics.groupby("User", observed=True)["weighted_requested_vram_efficiency"] .apply(lambda series: series.sum() if not series.isna().all() else pd.NA) .to_numpy() ) @@ -454,111 +498,12 @@ def calculate_user_efficiency_metrics(self) -> pd.DataFrame: ) self.jobs_with_efficiency_metrics = self.jobs_with_efficiency_metrics.drop( - columns=["weighted_alloc_vram_efficiency", "weighted_vram_constraint_efficiency", "weighted_gpu_count"] + columns=["weighted_alloc_vram_efficiency", "weighted_requested_vram_efficiency", "weighted_gpu_count"] ) self.users_with_efficiency_metrics = users_w_efficiency_metrics return self.users_with_efficiency_metrics - def find_inefficient_users_by_alloc_vram_efficiency( - self, alloc_vram_efficiency_filter: int | float | dict | None, min_jobs: int = 5 - ) -> pd.DataFrame: - """ - Identify users with low expected allocated VRAM efficiency across their jobs compared to others - - Args: - alloc_vram_efficiency_filter: - - int | float : select rows where expected_value_alloc_vram_efficiency == value - - dict with 'min'/'max' and required 'inclusive' (bool): select rows in the range - min_jobs (int): Minimum number of jobs a user must have to be included in the analysis - - Returns: - pd.DataFrame: DataFrame with users and their average VRAM efficiency - - Raises: - ValueError: If the filter for expected_value_alloc_vram_efficiency is invalid. - """ - if self.users_with_efficiency_metrics is None: - self.calculate_user_efficiency_metrics() - print( - "Users DataFrame with efficiency metrics was not available. " - "Calculated it using the DataFrame of jobs with efficiency metrics." - ) - - mask = pd.Series( - [True] * len(self.users_with_efficiency_metrics), index=self.users_with_efficiency_metrics.index - ) - - if alloc_vram_efficiency_filter is not None: - try: - mask &= EfficiencyAnalysis.apply_numeric_filter( - self.users_with_efficiency_metrics["expected_value_alloc_vram_efficiency"], - alloc_vram_efficiency_filter, - {FilterTypeEnum.NUMERIC_SCALAR, FilterTypeEnum.DICTIONARY}, - filter_name="expected_value_alloc_vram_efficiency", - ) - except ValueError as e: - raise ValueError("Invalid filter for expected_value_alloc_vram_efficiency.") from e - - col = self.users_with_efficiency_metrics["job_count"] - mask &= col.ge(min_jobs) - - inefficient_users = self.users_with_efficiency_metrics[mask] - - # Sort by the metric ascending (lower is worse) - inefficient_users = inefficient_users.sort_values("expected_value_alloc_vram_efficiency", ascending=True) - return inefficient_users - - def find_inefficient_users_by_vram_hours( - self, vram_hours_filter: int | float | dict = 200, min_jobs: int = 5 - ) -> pd.DataFrame: - """ - Identify users with high VRAM-hours across their jobs compared to others. - - Args: - vram_hours_filter: - - None: no filtering on vram_hours - - int | float: select rows where vram_hours == value - - dict with 'min'/'max' and required 'inclusive' (bool): select rows in the range - min_jobs (int): Minimum number of jobs a user must have to be included in the analysis - - Returns: - pd.DataFrame: DataFrame with users and their total VRAM hours - - Raises: - ValueError: If the filter is invalid - """ - if self.users_with_efficiency_metrics is None: - self.calculate_user_efficiency_metrics() - print( - "Users DataFrame with efficiency metrics was not available. " - "Calculated it using the DataFrame of jobs with efficiency metrics." - ) - - mask = pd.Series( - [True] * len(self.users_with_efficiency_metrics), index=self.users_with_efficiency_metrics.index - ) - - if vram_hours_filter is not None: - try: - mask &= EfficiencyAnalysis.apply_numeric_filter( - self.users_with_efficiency_metrics["vram_hours"], - vram_hours_filter, - {FilterTypeEnum.NUMERIC_SCALAR, FilterTypeEnum.DICTIONARY}, - filter_name="vram_hours_filter", - ) - except ValueError as e: - raise ValueError("Invalid filter for vram_hours.") from e - - col = self.users_with_efficiency_metrics["job_count"] - mask &= col.ge(min_jobs) - - inefficient_users = self.users_with_efficiency_metrics[mask] - - # Sort by the metric descending (higher is worse) - inefficient_users = inefficient_users.sort_values("vram_hours", ascending=False) - return inefficient_users - def calculate_all_efficiency_metrics( self, filtered_jobs: pd.DataFrame, @@ -615,7 +560,7 @@ def calculate_pi_account_efficiency_metrics(self) -> pd.DataFrame: user_count=("User", "nunique"), pi_acc_vram_hours=("vram_hours", "sum"), avg_alloc_vram_efficiency_score=("avg_alloc_vram_efficiency_score", "mean"), - avg_vram_constraint_efficiency_score=("avg_vram_constraint_efficiency_score", "mean"), + avg_requested_vram_efficiency_score=("avg_requested_vram_efficiency_score", "mean"), ) .reset_index() ) @@ -639,15 +584,15 @@ def calculate_pi_account_efficiency_metrics(self) -> pd.DataFrame: .to_numpy() ) - self.users_with_efficiency_metrics.loc[:, "weighted_ev_vram_constraint_efficiency"] = ( - self.users_with_efficiency_metrics["expected_value_vram_constraint_efficiency"] + self.users_with_efficiency_metrics.loc[:, "weighted_ev_requested_vram_efficiency"] = ( + self.users_with_efficiency_metrics["expected_value_requested_vram_efficiency"] * self.users_with_efficiency_metrics["vram_hours"] / pi_acc_vram_hours ) - pi_efficiency_metrics.loc[:, "expected_value_vram_constraint_efficiency"] = ( + pi_efficiency_metrics.loc[:, "expected_value_requested_vram_efficiency"] = ( self.users_with_efficiency_metrics.groupby("pi_account", observed=True)[ - "weighted_ev_vram_constraint_efficiency" + "weighted_ev_requested_vram_efficiency" ] .apply(lambda series: series.sum() if not series.isna().all() else pd.NA) .to_numpy() @@ -667,7 +612,7 @@ def calculate_pi_account_efficiency_metrics(self) -> pd.DataFrame: self.users_with_efficiency_metrics = self.users_with_efficiency_metrics.drop( columns=[ "weighted_ev_alloc_vram_efficiency", - "weighted_ev_vram_constraint_efficiency", + "weighted_ev_requested_vram_efficiency", "weighted_ev_gpu_count", ] ) @@ -675,63 +620,12 @@ def calculate_pi_account_efficiency_metrics(self) -> pd.DataFrame: self.pi_accounts_with_efficiency_metrics = pi_efficiency_metrics return self.pi_accounts_with_efficiency_metrics - def find_inefficient_pis_by_vram_hours( - self, vram_hours_filter: int | float | dict = 200, min_jobs: int = 5 - ) -> pd.DataFrame: - """ - Identify inefficient PI accounts based on VRAM hours. - - Args: - vram_hours_filter: - - None: no filtering on vram_hours - - int | float: select rows where pi_acc_vram_hours == value - - dict with 'min'/'max' and required 'inclusive' (bool): select rows in the range - min_jobs (int): Minimum number of jobs a PI account must have to be included in the analysis - - Returns: - pd.DataFrame: DataFrame with PI accounts and their VRAM hours - - Raises: - ValueError: If the filter is invalid - """ - if self.pi_accounts_with_efficiency_metrics is None: - self.calculate_pi_account_efficiency_metrics() - print( - "PI accounts with efficiency metrics DataFrame was not available. " - "Calculated it using the DataFrame of users with efficiency metrics." - ) - - mask = pd.Series( - [True] * len(self.pi_accounts_with_efficiency_metrics), - index=self.pi_accounts_with_efficiency_metrics.index, - ) - - if vram_hours_filter is not None: - try: - mask &= EfficiencyAnalysis.apply_numeric_filter( - self.pi_accounts_with_efficiency_metrics["pi_acc_vram_hours"], - vram_hours_filter, - {FilterTypeEnum.NUMERIC_SCALAR, FilterTypeEnum.DICTIONARY}, - filter_name="pi_acc_vram_hours_filter", - ) - except ValueError as e: - raise ValueError("Invalid filter for pi_acc_vram_hours.") from e - - col = self.pi_accounts_with_efficiency_metrics["job_count"] - mask &= col.ge(min_jobs) - - inefficient_pi_accounts = self.pi_accounts_with_efficiency_metrics[mask] - - # Sort by the metric descending (higher is worse) - inefficient_pi_accounts = inefficient_pi_accounts.sort_values("pi_acc_vram_hours", ascending=False) - return inefficient_pi_accounts - def sort_and_filter_records_with_metrics( self, metrics_df_name_enum: MetricsDataFrameNameEnum, sorting_key: str, ascending: bool, - filter_criteria: dict[str, int | float | dict | pd.api.typing.NAType], + filter_criteria: dict[str, int | float | dict | pd.api.typing.NAType] | None = None, ) -> pd.DataFrame: """ Sort and filter records based on specified criteria. @@ -756,7 +650,7 @@ def sort_and_filter_records_with_metrics( if not isinstance(metrics_df_name_enum, self.metrics_df_name_enum): raise ValueError( f"Invalid efficiency metric type: {metrics_df_name_enum}. " - f"Must be a member of MetricsDataFrameNameEnum." + f"Must be a member of {self.metrics_df_name_enum.__name__}." ) metrics_df = getattr(self, metrics_df_name_enum.value) @@ -776,17 +670,17 @@ def sort_and_filter_records_with_metrics( [True] * len(getattr(self, metrics_df_name_enum.value)), index=getattr(self, metrics_df_name_enum.value).index, ) - - for column, filter in filter_criteria.items(): - try: - mask &= EfficiencyAnalysis.apply_numeric_filter( - getattr(self, metrics_df_name_enum.value)[column], - filter, - {FilterTypeEnum.NUMERIC_SCALAR, FilterTypeEnum.DICTIONARY, FilterTypeEnum.PD_NA}, - filter_name=f"{column}_filter", - ) - except ValueError as e: - raise ValueError(f"Invalid filter for {column}.") from e + if filter_criteria is not None: + for column, filter in filter_criteria.items(): + try: + mask &= EfficiencyAnalysis.apply_numeric_filter( + getattr(self, metrics_df_name_enum.value)[column], + filter, + {FilterTypeEnum.NUMERIC_SCALAR, FilterTypeEnum.DICTIONARY, FilterTypeEnum.PD_NA}, + filter_name=f"{column}_filter", + ) + except ValueError as e: + raise ValueError(f"Invalid filter for {column}.") from e filtered_records = getattr(self, metrics_df_name_enum.value)[mask] diff --git a/src/config/paths.py b/src/config/paths.py index e53fd4d..2d1a6ac 100644 --- a/src/config/paths.py +++ b/src/config/paths.py @@ -3,21 +3,37 @@ """ from pathlib import Path +import os +import tempfile # Get the project root directory (3 levels up from this config file) PROJECT_ROOT = Path(__file__).parent.parent.parent # Data directory paths -DATA_DIR = PROJECT_ROOT / "data" -PREPROCESSING_DATA_DIR = DATA_DIR / "preprocessing" -VISUALIZATION_DATA_DIR = DATA_DIR / "visualizations" -REPORTS_DATA_DIR = DATA_DIR / "reports" +DATA_DIR = (PROJECT_ROOT / "data").resolve() +PREPROCESSING_DATA_DIR = (DATA_DIR / "preprocessing").resolve() +VISUALIZATION_DATA_DIR = (DATA_DIR / "visualizations").resolve() +JOBS_VISUALIZATION_DATA_DIR = (VISUALIZATION_DATA_DIR / "jobs").resolve() +USERS_VISUALIZATION_DATA_DIR = (VISUALIZATION_DATA_DIR / "users").resolve() +PI_GROUPS_VISUALIZATION_DATA_DIR = (VISUALIZATION_DATA_DIR / "pi_groups").resolve() +REPORTS_DATA_DIR = (DATA_DIR / "reports").resolve() # Specific file paths -PREPROCESSING_ERRORS_LOG_FILE = PREPROCESSING_DATA_DIR / "preprocessing_errors.log" +_default_preprocess_log = PREPROCESSING_DATA_DIR / "preprocessing_errors.log" + +# If running in test environment, redirect preprocessing errors log to a temporary file. +if os.getenv("RUN_ENV") == "TEST": + # NamedTemporaryFile is not used as a context manager to keep file accessible during tests. + _tmp_dir = tempfile.mkdtemp(prefix="preprocess_logs_") + PREPROCESSING_ERRORS_LOG_FILE = Path(_tmp_dir) / "preprocessing_errors.log" +else: + PREPROCESSING_ERRORS_LOG_FILE = _default_preprocess_log # Ensure data directories exist when imported DATA_DIR.mkdir(exist_ok=True) PREPROCESSING_DATA_DIR.mkdir(exist_ok=True) VISUALIZATION_DATA_DIR.mkdir(exist_ok=True) +JOBS_VISUALIZATION_DATA_DIR.mkdir(exist_ok=True) +USERS_VISUALIZATION_DATA_DIR.mkdir(exist_ok=True) +PI_GROUPS_VISUALIZATION_DATA_DIR.mkdir(exist_ok=True) REPORTS_DATA_DIR.mkdir(exist_ok=True) diff --git a/src/config/snapshots/node_info.json b/src/config/snapshots/node_info.json index 9bc68d6..7d55485 100644 --- a/src/config/snapshots/node_info.json +++ b/src/config/snapshots/node_info.json @@ -18,9 +18,11 @@ "bf16", "fp64", "gh200", + "grace_a02", "gracehopper", "ib", "localscratch", + "neoverse_v2", "sm_52", "sm_61", "sm_70", @@ -43,7 +45,7 @@ ], "cores": 72, "ram": 560, - "cpus": "1x NVIDIA Grace Hopper Superchip (72 core)", + "cpus": "1x Grace A02 (72 core)", "general_use": true, "gpu_model": "NVIDIA Grace Hopper Superchip", "gpu_count": 1, @@ -2057,7 +2059,7 @@ "node_group": "ials-gpu", "partitions": [ "gpu-preempt", - "ials-gpu" + "gpupod-l40s" ], "features": [ "10gbps", @@ -2122,6 +2124,7 @@ "altivec", "fp64", "p923", + "power9", "power9le", "ppc64le", "sm_52", @@ -2165,6 +2168,7 @@ "altivec", "fp64", "p923", + "power9", "power9le", "ppc64le", "sm_52", @@ -2216,6 +2220,7 @@ "fp64", "ib", "p922", + "power9", "power9le", "ppc64le", "sm_52", @@ -2327,6 +2332,7 @@ ], "node_group": "umd-cscdr-arm", "partitions": [ + "arm", "arm-preempt", "umd-cscdr-arm" ], @@ -2334,12 +2340,13 @@ "10gbps", "25gbps", "aarch64", + "ampere_altra_q80_30", "arm64", - "armn1" + "neoverse_n1" ], "cores": 80, "ram": 250, - "cpus": "1x Neoverse-N1 (80 core)", + "cpus": "1x Ampere Altra Q80-30 (80 core)", "general_use": false, "gpu_model": null, "gpu_count": 0, @@ -2628,8 +2635,62 @@ "bf16", "fp64", "gh200", + "grace_a02", "gracehopper", "localscratch", + "neoverse_v2", + "sm_52", + "sm_61", + "sm_70", + "sm_75", + "sm_80", + "sm_86", + "sm_87", + "sm_89", + "sm_90", + "vram102", + "vram11", + "vram12", + "vram16", + "vram23", + "vram32", + "vram40", + "vram48", + "vram8", + "vram80" + ], + "cores": 72, + "ram": 560, + "cpus": "1x Grace A02 (72 core)", + "general_use": true, + "gpu_model": "NVIDIA Grace Hopper Superchip", + "gpu_count": 1, + "vram": 80, + "open_hardware": null, + "owner": "", + "owner_email": "" + }, + { + "nodes_folded": "uri-arm-gpu002", + "count": 1, + "nodes": [ + "uri-arm-gpu002" + ], + "node_group": "uri-arm-gpu", + "partitions": [ + "arm-gpu" + ], + "features": [ + "10gbps", + "25gbps", + "aarch64", + "arm64", + "bf16", + "fp64", + "gh200", + "grace_a02", + "gracehopper", + "neoverse_v2", "sm_52", "sm_61", "sm_70", @@ -2652,7 +2713,7 @@ ], "cores": 72, "ram": 560, - "cpus": "1x NVIDIA Grace Hopper Superchip (72 core)", + "cpus": "1x Grace A02 (72 core)", "general_use": true, "gpu_model": "NVIDIA Grace Hopper Superchip", "gpu_count": 1, @@ -2661,6 +2722,40 @@ "owner": "", "owner_email": "" }, + { + "nodes_folded": "uri-arm[001-006]", + "count": 6, + "nodes": [ + "uri-arm001", + "uri-arm002", + "uri-arm003", + "uri-arm004", + "uri-arm005", + "uri-arm006" + ], + "node_group": "uri-arm", + "partitions": [ + "arm" + ], + "features": [ + "10gbps", + "25gbps", + "aarch64", + "arm64", + "grace_a02", + "neoverse_v2" + ], + "cores": 144, + "ram": 470, + "cpus": "2x Grace A02 (144 core)", + "general_use": false, + "gpu_model": null, + "gpu_count": 0, + "vram": null, + "open_hardware": null, + "owner": "", + "owner_email": "" + }, { "nodes_folded": "uri-cpu[001-005]", "count": 5, @@ -3056,6 +3151,83 @@ "owner": "URI", "owner_email": "" }, + { + "nodes_folded": "uri-cpu[062-067]", + "count": 6, + "nodes": [ + "uri-cpu062", + "uri-cpu063", + "uri-cpu064", + "uri-cpu065", + "uri-cpu066", + "uri-cpu067" + ], + "node_group": "uri-cpu", + "partitions": [ + "cpu-preempt", + "uri-cpu" + ], + "features": [ + "10gbps", + "25gbps", + "avx512", + "intel", + "intel6730p", + "sapphirerapids", + "x86_64", + "x86_64_v2", + "x86_64_v3", + "x86_64_v4" + ], + "cores": 64, + "ram": 250, + "cpus": "2x Intel(R) Xeon(R) 6730P (64 core)", + "general_use": false, + "gpu_model": null, + "gpu_count": 0, + "vram": null, + "open_hardware": true, + "owner": "URI", + "owner_email": "" + }, + { + "nodes_folded": "uri-cpu[068-073]", + "count": 6, + "nodes": [ + "uri-cpu068", + "uri-cpu069", + "uri-cpu070", + "uri-cpu071", + "uri-cpu072", + "uri-cpu073" + ], + "node_group": "uri-cpu", + "partitions": [ + "cpu" + ], + "features": [ + "10gbps", + "25gbps", + "avx512", + "intel", + "intel6730p", + "sapphirerapids", + "x86_64", + "x86_64_v2", + "x86_64_v3", + "x86_64_v4" + ], + "cores": 64, + "ram": 250, + "cpus": "2x Intel(R) Xeon(R) 6730P (64 core)", + "general_use": true, + "gpu_model": null, + "gpu_count": 0, + "vram": null, + "open_hardware": true, + "owner": "URI", + "owner_email": "" + }, { "nodes_folded": "uri-gpu[001-002]", "count": 2, @@ -3402,6 +3574,7 @@ "25gbps", "altivec", "p923", + "power9", "power9le", "ppc64le" ], diff --git a/src/config/snapshots/partition_info.json b/src/config/snapshots/partition_info.json index edfff1d..b6e1ca1 100644 --- a/src/config/snapshots/partition_info.json +++ b/src/config/snapshots/partition_info.json @@ -1,8 +1,17 @@ [ + { + "name": "arm", + "type": "cpu", + "node_count": 9, + "maxtime": "14 days", + "deftime": "1 hour", + "max_ram": 470, + "max_cpus": 144 + }, { "name": "arm-gpu", "type": "gpu", - "node_count": 3, + "node_count": 4, "maxtime": "14 days", "deftime": "1 hour", "max_ram": 560, @@ -83,7 +92,7 @@ { "name": "cpu", "type": "cpu", - "node_count": 147, + "node_count": 153, "maxtime": "2 days", "deftime": "1 hour", "max_ram": 1510, @@ -92,7 +101,7 @@ { "name": "cpu-preempt", "type": "cpu", - "node_count": 138, + "node_count": 144, "maxtime": "2 days", "deftime": "1 hour", "max_ram": 1510, @@ -155,7 +164,7 @@ { "name": "gpupod-l40s", "type": "gpu", - "node_count": 10, + "node_count": 13, "maxtime": "14 days", "deftime": "1 hour", "max_ram": 500, @@ -164,11 +173,11 @@ { "name": "ials-gpu", "type": "gpu", - "node_count": 31, + "node_count": 28, "maxtime": "14 days", "deftime": "1 hour", - "max_ram": 500, - "max_cpus": 32 + "max_ram": 180, + "max_cpus": 24 }, { "name": "jdelhommelle", @@ -272,7 +281,7 @@ { "name": "uri-cpu", "type": "cpu", - "node_count": 43, + "node_count": 49, "maxtime": "30 days", "deftime": "1 hour", "max_ram": 1000, diff --git a/src/database/database_connection.py b/src/database/database_connection.py index dbbe028..59afb00 100644 --- a/src/database/database_connection.py +++ b/src/database/database_connection.py @@ -1,4 +1,5 @@ import os +from pathlib import Path import duckdb import pandas as pd @@ -13,20 +14,22 @@ class DatabaseConnection: """ - def __init__(self, db_url: str, read_only: bool = True) -> None: + def __init__(self, db_url: str, read_only: bool = True, anonymize: bool = False) -> None: """ Initialize the DatabaseConnection object. Args: db_url (str): The URL of the DuckDB database. read_only (bool): If True, the connection will be read-only. Defaults to True. + anonymize (bool): If True, printed logs will be anonymized. Defaults to False. Returns: None """ self.db_url = db_url self.connection: duckdb.DuckDBPyConnection | None = self._connect(read_only=read_only) - print(f"Connected to {self.db_url}") + self.anonymize = anonymize + print(f"Connected to {self.db_url if not self.anonymize else Path(self.db_url).name}") def _connect(self, read_only: bool) -> duckdb.DuckDBPyConnection: """Establish a connection to the DuckDB database. @@ -42,11 +45,15 @@ def _connect(self, read_only: bool) -> duckdb.DuckDBPyConnection: def disconnect(self) -> None: """Close the connection to the DuckDB database.""" - if self.connection is not None: + if hasattr(self, "connection") and self.connection is not None: self.connection.close() self.connection = None - if os.getenv("RUN_ENV") != "TEST": - print(f"Disconnected from {self.db_url}") + + def __del__(self) -> None: + """Ensure the connection is closed when the object is deleted.""" + self.disconnect() + if os.getenv("RUN_ENV") != "TEST": + print(f"Disconnected from {self.db_url if not self.anonymize else Path(self.db_url).name}") def is_connected(self) -> bool: """ diff --git a/src/preprocess/__init__.py b/src/preprocess/__init__.py index 9749b6d..3299824 100644 --- a/src/preprocess/__init__.py +++ b/src/preprocess/__init__.py @@ -1 +1 @@ -from .preprocess import preprocess_data as preprocess_data +from .preprocess import Preprocess as Preprocess diff --git a/src/preprocess/preprocess.py b/src/preprocess/preprocess.py index ff0f380..9f756ed 100644 --- a/src/preprocess/preprocess.py +++ b/src/preprocess/preprocess.py @@ -1,6 +1,8 @@ +from typing import TextIO import warnings from collections.abc import Callable +import sys import numpy as np import pandas as pd from pandas.api.typing import NAType @@ -26,283 +28,391 @@ from ..config.paths import PREPROCESSING_ERRORS_LOG_FILE from .errors import JobPreprocessingError -processing_error_logs: list = [] -error_indices: set = set() +class Preprocess: + """Preprocessing class for job data. -def _validate_gpu_type( - gpu_type_value: NAType | np.ndarray | list | dict, include_cpu_only_jobs: bool -) -> list | dict | NAType: + The preprocessing class method is preprocess_data(). """ - Validate and process GPU type value. - Args: - gpu_type_value (list | dict | np.ndarray): The GPU type value from the DataFrame. - include_cpu_only_jobs (bool): Whether CPU-only jobs are allowed. - - Returns: - list | dict | NATpe: Processed GPU type value for GPU jobs or pd.NA for CPU-only jobs. - - Raises: - JobPreprocessingError: If GPU type is null and CPU-only jobs are not allowed. - """ - - # Handle dict and list types first (these are never NA) - if isinstance(gpu_type_value, (dict, list)): - return gpu_type_value - - # Handle numpy arrays - elif isinstance(gpu_type_value, np.ndarray): - return gpu_type_value.tolist() - - # Handle missing/empty values (now only NAType remains) - elif pd.isna(gpu_type_value): - if not include_cpu_only_jobs: - raise JobPreprocessingError( - error_type=PreprocessingErrorTypeEnum.GPU_TYPE_NULL, - info="GPU Type is null but include_cpu_only_jobs is False", - ) - return pd.NA - - -def _safe_apply_function( - func: Callable, *args: object, job_id: int | None = None, idx: int | None = None -) -> int | NAType: - """ - Safely apply calculation functions, catching JobPreprocessingError and logging it. - - This function wraps calculation functions to catch JobPreprocessingError exceptions - that may occur during column or metric processing, logs the error details for - later review, and returns pd.NA instead of allowing the error to propagate. - - Args: - func (Callable): The calculation function to call with the provided arguments. - *args: Variable length argument list to pass to the metric function. - job_id (int | None, optional): Job ID associated with the row being processed, - used for error logging and tracking. Defaults to None. - idx (int | None, optional): DataFrame index of the row being processed, - used for error tracking and row removal. Defaults to None. - - Returns: - int | NAType: The result of calling func(*args) if successful, or pd.NA if a - JobPreprocessingError occurs. - - Note: - When a JobPreprocessingError is caught, the function: - - Adds the index to error_indices for later row removal - - Logs error details to processing_error_logs for summary reporting - - Returns pd.NA to maintain DataFrame structure - """ - try: - return func(*args) - except JobPreprocessingError as e: - if idx is not None: - error_indices.add(idx) - processing_error_logs.append({ - "job_id": job_id, - "index": idx, - "error_type": e.error_type, - "info": e.info, - }) - return pd.NA - - -def _fill_missing(res: pd.DataFrame, include_cpu_only_jobs: bool) -> None: - """ - Intended for internal use inside preprocess_data() only. Fill missing values in the DataFrame with default values. - - Args: - res (pd.DataFrame): The DataFrame to fill missing values in. - include_cpu_only_jobs (bool): Whether to include CPU-only jobs in the DataFrame. - - Returns: - None: The function modifies the DataFrame in place. - """ + anonymize: bool = False + error_indices: set = set() + processing_error_logs: list = [] + + @classmethod + def _validate_gpu_type( + cls, gpu_type_value: NAType | np.ndarray | list | dict, include_cpu_only_jobs: bool + ) -> list | dict | NAType: + """ + Validate and process GPU type value. + + Args: + gpu_type_value (list | dict | np.ndarray): The GPU type value from the DataFrame. + include_cpu_only_jobs (bool): Whether CPU-only jobs are allowed. + + Returns: + list | dict | NATpe: Processed GPU type value for GPU jobs or pd.NA for CPU-only jobs. + + Raises: + JobPreprocessingError: If GPU type is null and CPU-only jobs are not allowed. + """ + + # Handle dict and list types first (these are never NA) + if isinstance(gpu_type_value, (dict, list)): + return gpu_type_value + + # Handle numpy arrays + elif isinstance(gpu_type_value, np.ndarray): + return gpu_type_value.tolist() + + # Handle missing/empty values (now only NAType remains) + elif pd.isna(gpu_type_value): + if not include_cpu_only_jobs: + raise JobPreprocessingError( + error_type=PreprocessingErrorTypeEnum.GPU_TYPE_NULL, + info="GPU Type is null but include_cpu_only_jobs is False", + ) + return pd.NA + + @classmethod + def _safe_apply_function( + cls, func: Callable, *args: object, job_id: int | None = None, idx: int | None = None + ) -> int | NAType: + """ + Safely apply calculation functions, catching JobPreprocessingError and logging it. + + This function wraps calculation functions to catch JobPreprocessingError exceptions + that may occur during column or metric processing, logs the error details for + later review, and returns pd.NA instead of allowing the error to propagate. + + Args: + func (Callable): The calculation function to call with the provided arguments. + *args: Variable length argument list to pass to the metric function. + job_id (int | None, optional): Job ID associated with the row being processed, + used for error logging and tracking. Defaults to None. + idx (int | None, optional): DataFrame index of the row being processed, + used for error tracking and row removal. Defaults to None. + + Returns: + int | NAType: The result of calling func(*args) if successful, or pd.NA if a + JobPreprocessingError occurs. + + Note: + When a JobPreprocessingError is caught, the function: + - Adds the index to error_indices for later row removal + - Logs error details to processing_error_logs for summary reporting + - Returns pd.NA to maintain DataFrame structure + """ + try: + return func(*args) + except JobPreprocessingError as e: + if idx is not None: + cls.error_indices.add(idx) + cls.processing_error_logs.append({ + "job_id": job_id, + "index": idx, + "error_type": e.error_type, + "info": e.info, + }) + return pd.NA + + @classmethod + def _fill_missing(cls, res: pd.DataFrame, include_cpu_only_jobs: bool) -> None: + """ + Intended for internal use inside class only. Fill missing values in the DataFrame with default values. + + Args: + res (pd.DataFrame): The DataFrame to fill missing values in. + include_cpu_only_jobs (bool): Whether to include CPU-only jobs in the DataFrame. + + Returns: + None: The function modifies the DataFrame in place. + """ + # all NaN values are np.nan + # fill default values for specific columns + fill_map = { + "ArrayID": lambda col: col.fillna(-1), + "Interactive": lambda col: col.fillna("non-interactive"), + "Constraints": lambda col: col.fillna("").apply( + lambda x: [] if isinstance(x, str) and x == "" else list(x) + ), + "GPUs": lambda col: col.fillna(0), + "NodeList": lambda col: col.fillna("").apply(lambda x: [] if isinstance(x, str) and x == "" else list(x)), + } - # all NaN values are np.nan - # fill default values for specific columns - fill_map = { - "ArrayID": lambda col: col.fillna(-1), - "Interactive": lambda col: col.fillna("non-interactive"), - "Constraints": lambda col: col.fillna("").apply(lambda x: [] if isinstance(x, str) and x == "" else list(x)), - "GPUs": lambda col: col.fillna(0), - "NodeList": lambda col: col.fillna("").apply(lambda x: [] if isinstance(x, str) and x == "" else list(x)), - } - - res.loc[:, "GPUType"] = res.apply( - lambda row: _safe_apply_function( - _validate_gpu_type, row["GPUType"], include_cpu_only_jobs, job_id=row["JobID"], idx=row.name - ), - axis=1, - ) - - for col, fill_func in fill_map.items(): - if col in res.columns: - res.loc[:, col] = fill_func(res[col]) - - -def _validate_columns_and_filter_records( - data: pd.DataFrame, - min_elapsed_seconds: int, - include_failed_cancelled_jobs: bool, - include_cpu_only_jobs: bool, - include_custom_qos_jobs: bool, -) -> pd.DataFrame: - """ - Validate required columns and filter records based on specified criteria. + res.loc[:, "GPUType"] = res.apply( + lambda row: cls._safe_apply_function( + cls._validate_gpu_type, row["GPUType"], include_cpu_only_jobs, job_id=row["JobID"], idx=row.name + ), + axis=1, + ) - This function performs two main operations: - 1. Validates that all required columns are present and warns about missing optional columns - 2. Applies filtering conditions to remove unwanted records based on various criteria + for col, fill_func in fill_map.items(): + if col in res.columns: + res.loc[:, col] = fill_func(res[col]) - Args: - data (pd.DataFrame): The input dataframe to validate and filter. - min_elapsed_seconds (int): Minimum elapsed time in seconds to keep a job record. - include_failed_cancelled_jobs (bool): Whether to include jobs with status FAILED or CANCELLED. - include_cpu_only_jobs (bool): Whether to include jobs that do not use GPUs (CPU-only jobs). - include_custom_qos_jobs (bool): Whether to include entries with custom qos values. + @classmethod + def _write_preprocessing_error_logs(cls, preprocessing_error_logs: list[dict]) -> None: + """ + Write preprocessing error logs to a log file. - Returns: - pd.DataFrame: The validated and filtered dataframe. + Args: + preprocessing_error_logs (list[dict]): List of error records to write to file. - Raises: - KeyError: If any columns in RequiredColumnsEnum do not exist in the dataframe. + Returns: + None: Writes the error summary to PREPROCESSING_ERRORS_LOG_FILE. + """ + if not preprocessing_error_logs: + return - Notes: - # Handling missing columns logic: - - columns in REQUIRED_COLUMNS are columns that are must-have for basic metrics calculation. - - columns in OPTIONAL_COLUMNS are columns that are involved in preprocessing logics. - - For any columns in REQUIRED_COLUMNS that do not exist, a KeyError will be raised. - - For any columns in OPTIONAL_COLUMNS but not in REQUIRED_COLUMNS, a warning will be raised. - - _fill_missing, records filtering, and type conversion logic will happen only if columns involved exist + print( + f"Found {len(preprocessing_error_logs)} records with errors. " + f"Reporting them to a summary file " + f"{PREPROCESSING_ERRORS_LOG_FILE if not cls.anonymize else PREPROCESSING_ERRORS_LOG_FILE.name}." + ) - """ - qos_values = set([member.value for member in QOSEnum]) - exist_column_set = set(data.columns.to_list()) - - # Ensure required columns are present - for required_col in RequiredColumnsEnum: - if required_col.value not in exist_column_set: - raise KeyError(f"Column {required_col.value} does not exist in dataframe.") - - # raise warnings if optional columns are not present - for optional_col in OptionalColumnsEnum: - if optional_col.value not in exist_column_set: - warnings.warn( - ( - f"Column '{optional_col.value}' is missing from the dataframe. " - "This may impact filtering operations and downstream processing." - ), - UserWarning, - stacklevel=2, + if PREPROCESSING_ERRORS_LOG_FILE.exists(): + print(f"Processing error log file already exists. Overwriting {PREPROCESSING_ERRORS_LOG_FILE.name}") + + summary_lines = [ + "Records causing processing errors that were ignored:\n", + "=" * 30 + "\n", + f"Generated on: {pd.Timestamp.now().strftime('%Y-%m-%d %H:%M:%S')}\n", + f"Total errors: {len(preprocessing_error_logs)}\n\n", + ] + + for record in preprocessing_error_logs: + summary_lines.append( + f"Job ID: {record['job_id']}\n" + f"Error Type: {PreprocessingErrorTypeEnum(record['error_type']).value}\n" + f"Info: {record['info']}\n" + f"{'-' * 40}\n\n" ) - # filtering records - mask = pd.Series([True] * len(data), index=data.index) - - # Get partition info for GPU filtering - partition_info = PartitionInfoFetcher().get_info() - gpu_partitions = [p["name"] for p in partition_info if p["type"] == PartitionTypeEnum.GPU.value] - - filter_conditions = { - "Elapsed": lambda df: df["Elapsed"] >= min_elapsed_seconds, - "Account": lambda df: df["Account"] != AdminsAccountEnum.ROOT.value, - "Partition": lambda df: (df["Partition"] != AdminPartitionEnum.BUILDING.value) - & (include_cpu_only_jobs | df["Partition"].isin(gpu_partitions)), - "QOS": lambda df: (df["QOS"] != QOSEnum.UPDATES.value) - & (include_custom_qos_jobs | df["QOS"].isin(qos_values)), - "Status": lambda df: include_failed_cancelled_jobs - | ((df["Status"] != StatusEnum.FAILED.value) & (df["Status"] != StatusEnum.CANCELLED.value)), - } - - for col, func in filter_conditions.items(): - if col not in exist_column_set: - continue - mask &= func(data) - - return data[mask].copy() - - -def _cast_type_and_add_columns(data: pd.DataFrame) -> None: - """ - Cast existing columns to appropriate data types and add derived metrics as new columns. - - Handles both empty and non-empty dataframes by applying type casting to existing columns - and either adding empty columns with correct dtypes or calculating actual derived values. - - Raises a warning if the dataframe is empty after preprocessing operations. - - Args: - data (pd.DataFrame): The dataframe to modify. Must contain the required columns for processing. - - Returns: - None: The function modifies the DataFrame in place. + # Add all job IDs in one line for easy copying + job_ids = [str(record["job_id"]) for record in preprocessing_error_logs if record["job_id"] is not None] + if job_ids: + summary_lines.append(f"All Job IDs: {', '.join(job_ids)}\n") + + with open(PREPROCESSING_ERRORS_LOG_FILE, "w", encoding="utf-8") as f: + f.writelines(summary_lines) + + @classmethod + def anonymize_str_column(cls, column: pd.Series, prefix: str) -> pd.Series: + """Anonymize a DataFrame column by replacing its values with a unique identifier. + + Args: + column (pd.Series): The column to anonymize. + prefix (str): The prefix to add to the anonymized values. + + Returns: + pd.Series: The anonymized column. + """ + return prefix + column.rank(method="dense").astype(int).astype(str).str.zfill(2) + + @staticmethod + def showwarning_preprocess( + message: Warning | str, + category: type[Warning], + filename: str, + lineno: int, + file: TextIO | None = None, + line: str | None = None, + ) -> None: + """ + Custom warning formatter for preprocessing warnings to avoid printing the full traceback. + + Args: + message (Warning | str): The warning message. + category (type[Warning]): The warning category. + filename (str): The name of the file where the warning occurred. + lineno (int): The line number where the warning occurred. + file (TextIO | None, optional): The file to write the warning message to. + line (str | None, optional): The line of code where the warning occurred. + + Returns: + str: The formatted warning message as a string. + """ + parts = warnings.formatwarning(message, category, filename, lineno, line).split(":")[2:] + msg = ":".join(parts).strip() + if file: + file.write(msg + "\n") + else: + sys.stderr.write(msg + "\n") + + @staticmethod + def _validate_columns_and_filter_records( + data: pd.DataFrame, + min_elapsed_seconds: int, + include_failed_cancelled_jobs: bool, + include_cpu_only_jobs: bool, + include_custom_qos_jobs: bool, + ) -> pd.DataFrame: + """ + Validate required columns and filter out records based on specified criteria. + + This function performs two main operations: + 1. Validates that all required columns are present and warns about missing optional columns + 2. Applies filtering conditions to remove unwanted records based on various criteria + + Args: + data (pd.DataFrame): The input dataframe to validate and filter. + min_elapsed_seconds (int): Minimum elapsed time in seconds to keep a job record. + include_failed_cancelled_jobs (bool): Whether to include jobs with status FAILED or CANCELLED. + include_cpu_only_jobs (bool): Whether to include jobs that do not use GPUs (CPU-only jobs). + include_custom_qos_jobs (bool): Whether to include entries with custom qos values. + + Returns: + pd.DataFrame: The validated and filtered dataframe. + + Raises: + KeyError: If any columns in RequiredColumnsEnum do not exist in the dataframe. + + Notes: + # Handling missing columns logic: + - columns in REQUIRED_COLUMNS are columns that are must-have for basic metrics calculation. + - columns in OPTIONAL_COLUMNS are columns that are involved in preprocessing logics. + - For any columns in REQUIRED_COLUMNS that do not exist, a KeyError will be raised. + - For any columns in OPTIONAL_COLUMNS but not in REQUIRED_COLUMNS, a warning will be raised. + - _fill_missing, records filtering, and type conversion logic will happen only if columns involved exist + + """ + qos_values = set([member.value for member in QOSEnum]) + exist_column_set = set(data.columns.to_list()) + + # Ensure required columns are present + for required_col in RequiredColumnsEnum: + if required_col.value not in exist_column_set: + raise KeyError(f"Column {required_col.value} does not exist in dataframe.") + + # raise warnings if optional columns are not present + for optional_col in OptionalColumnsEnum: + if optional_col.value not in exist_column_set: + warnings.warn( + ( + f"Column '{optional_col.value}' is missing from the dataframe. " + "This may impact filtering operations and downstream processing." + ), + UserWarning, + stacklevel=2, + ) + + # filtering records + mask = pd.Series([True] * len(data), index=data.index) + + # Get partition info for GPU filtering + partition_info = PartitionInfoFetcher().get_info() + gpu_partitions = [p["name"] for p in partition_info if p["type"] == PartitionTypeEnum.GPU.value] + + filter_conditions = { + "Elapsed": lambda df: df["Elapsed"] >= min_elapsed_seconds, + "Account": lambda df: df["Account"] != AdminsAccountEnum.ROOT.value, + "Partition": lambda df: (df["Partition"] != AdminPartitionEnum.BUILDING.value) + & (include_cpu_only_jobs | df["Partition"].isin(gpu_partitions)), + "QOS": lambda df: (df["QOS"] != QOSEnum.UPDATES.value) + & (include_custom_qos_jobs | df["QOS"].isin(qos_values)), + "Status": lambda df: include_failed_cancelled_jobs + | ((df["Status"] != StatusEnum.FAILED.value) & (df["Status"] != StatusEnum.CANCELLED.value)), + } + + for col, func in filter_conditions.items(): + if col not in exist_column_set: + continue + mask &= func(data) + + return data[mask].copy() + + @classmethod + def _cast_type_and_add_columns(cls, data: pd.DataFrame) -> None: + """ + Cast existing columns to appropriate data types and add derived metrics as new columns. + + Handles both empty and non-empty dataframes by applying type casting to existing columns + and either adding empty columns with correct dtypes or calculating actual derived values. + + Raises a warning if the dataframe is empty after preprocessing operations. + + Args: + data (pd.DataFrame): The dataframe to modify. Must contain the required columns for processing. + + Returns: + None: The function modifies the DataFrame in place. + + Warnings: + UserWarning: If the dataframe is empty after filtering and preprocessing operations. + """ + exist_column_set = set(data.columns.to_list()) + + # Anonymize user and account information + if cls.anonymize: + data.loc[:, "User"] = cls.anonymize_str_column(data["User"], "user_") + data.loc[:, "Account"] = cls.anonymize_str_column(data["Account"], "account_") + + # Convert columns to categorical + for col, enum_obj in ATTRIBUTE_CATEGORIES.items(): + if col not in exist_column_set: + continue + enum_values = [e.value for e in enum_obj] + unique_values = data[col].unique().tolist() + all_categories = list(set(enum_values) | set(unique_values)) + data[col] = pd.Categorical(data[col], categories=all_categories, ordered=False) + + if data.empty: + # Raise warning for empty dataframe + warnings.warn("Dataframe results from database and filtering is empty.", UserWarning, stacklevel=3) + + # Type casting for columns involving time + time_columns = ["StartTime", "SubmitTime"] + for col in time_columns: + if col not in exist_column_set: + continue + data[col] = pd.to_datetime(data[col], errors="coerce") + + duration_columns = ["TimeLimit", "Elapsed"] + for col in duration_columns: + if col not in exist_column_set: + continue + target_col = data[col] * 60 if col == "TimeLimit" else data[col] # convert TimeLimit to seconds + data[col] = pd.to_timedelta(target_col, unit="s", errors="coerce") + + # Convert columns to categorical + for col, enum_obj in ATTRIBUTE_CATEGORIES.items(): + if col not in exist_column_set: + continue + enum_values = [e.value for e in enum_obj] + unique_values = data[col].unique().tolist() + all_categories = list(set(enum_values) | set(unique_values)) + data[col] = pd.Categorical(data[col], categories=all_categories, ordered=False) + + if data.empty: + # Add new columns with correct types for empty dataframe + data["Queued"] = pd.Series([], dtype="timedelta64[ns]") + data["vram_constraint"] = pd.Series([], dtype=pd.Int64Dtype()) + data["partition_constraint"] = pd.Series([], dtype=pd.Int64Dtype()) + data["requested_vram"] = pd.Series([], dtype=pd.Int64Dtype()) + data["allocated_vram"] = pd.Series([], dtype=pd.Int64Dtype()) + return - Warnings: - UserWarning: If the dataframe is empty after filtering and preprocessing operations. - """ - exist_column_set = set(data.columns.to_list()) - - if data.empty: - # Raise warning for empty dataframe - warnings.warn("Dataframe results from database and filtering is empty.", UserWarning, stacklevel=3) - - # Type casting for columns involving time - time_columns = ["StartTime", "SubmitTime"] - for col in time_columns: - if col not in exist_column_set: - continue - data[col] = pd.to_datetime(data[col], errors="coerce") - - duration_columns = ["TimeLimit", "Elapsed"] - for col in duration_columns: - if col not in exist_column_set: - continue - target_col = data[col] * 60 if col == "TimeLimit" else data[col] - data[col] = pd.to_timedelta(target_col, unit="s", errors="coerce") - - # Convert columns to categorical - for col, enum_obj in ATTRIBUTE_CATEGORIES.items(): - if col not in exist_column_set: - continue - enum_values = [e.value for e in enum_obj] - unique_values = data[col].unique().tolist() - all_categories = list(set(enum_values) | set(unique_values)) - data[col] = pd.Categorical(data[col], categories=all_categories, ordered=False) - - if data.empty: - # Add new columns with correct types for empty dataframe - data["Queued"] = pd.Series([], dtype="timedelta64[ns]") - data["vram_constraint"] = pd.Series([], dtype=pd.Int64Dtype()) - data["partition_constraint"] = pd.Series([], dtype=pd.Int64Dtype()) - data["requested_vram"] = pd.Series([], dtype=pd.Int64Dtype()) - data["allocated_vram"] = pd.Series([], dtype=pd.Int64Dtype()) - # Only add user_jobs/account_jobs if columns exist - if "User" in data.columns: - data["user_jobs"] = pd.Series([], dtype=pd.Int64Dtype()) - if "Account" in data.columns: - data["account_jobs"] = pd.Series([], dtype=pd.Int64Dtype()) - else: # Calculate queue time data.loc[:, "Queued"] = data["StartTime"] - data["SubmitTime"] # Apply all metrics using the single safe function data.loc[:, "vram_constraint"] = data.apply( - lambda row: _safe_apply_function( + lambda row: cls._safe_apply_function( _get_vram_constraint, row["Constraints"], row["GPUs"], job_id=row["JobID"], idx=row.name ), axis=1, ).astype(pd.Int64Dtype()) data.loc[:, "partition_constraint"] = data.apply( - lambda row: _safe_apply_function( + lambda row: cls._safe_apply_function( _get_partition_constraint, row["Partition"], row["GPUs"], job_id=row["JobID"], idx=row.name ), axis=1, ).astype(pd.Int64Dtype()) data.loc[:, "requested_vram"] = data.apply( - lambda row: _safe_apply_function( + lambda row: cls._safe_apply_function( _get_requested_vram, row["vram_constraint"], row["partition_constraint"], @@ -313,7 +423,7 @@ def _cast_type_and_add_columns(data: pd.DataFrame) -> None: ).astype(pd.Int64Dtype()) data.loc[:, "allocated_vram"] = data.apply( - lambda row: _safe_apply_function( + lambda row: cls._safe_apply_function( _get_approx_allocated_vram, row["GPUType"], row["NodeList"], @@ -325,163 +435,125 @@ def _cast_type_and_add_columns(data: pd.DataFrame) -> None: axis=1, ) - if error_indices: - data = data.drop(index=list(error_indices)).reset_index(drop=True) - - # Add derived columns for user_jobs and account_jobs only if the source columns exist - if "User" in exist_column_set: - data.loc[:, "user_jobs"] = data.groupby("User", observed=True)["User"].transform("size") - if "Account" in exist_column_set: - data.loc[:, "account_jobs"] = data.groupby("Account", observed=True)["Account"].transform("size") - - -def _check_for_infinity_values(data: pd.DataFrame) -> None: - """ - Check for infinity values in memory usage columns and raise warnings if found. - - Args: - data (pd.DataFrame): The dataframe to check for infinity values. - - Returns: - None: The function only raises warnings if infinity values are found. - """ - mem_usage_columns = ["CPUMemUsage", "GPUMemUsage"] - exist_column_set = set(data.columns.to_list()) - for col_name in mem_usage_columns: - if col_name not in exist_column_set: - continue - filtered = data[data[col_name] == np.inf].copy() - if len(filtered) > 0: - message = f"Some entries in {col_name} having infinity values. This may be caused by an overflow." - warnings.warn(message=message, stacklevel=2, category=UserWarning) - - -def _write_preprocessing_error_logs(preprocessing_error_logs: list[dict]) -> None: - """ - Write preprocessing error logs to a log file. - - Args: - preprocessing_error_logs (list[dict]): List of error records to write to file. - - Returns: - None: Writes the error summary to PREPROCESSING_ERRORS_LOG_FILE. - """ - if not preprocessing_error_logs: - return - - print( - f"Found {len(preprocessing_error_logs)} records with errors. " - f"Reporting them to a summary file {PREPROCESSING_ERRORS_LOG_FILE}." - ) - - if PREPROCESSING_ERRORS_LOG_FILE.exists(): - print(f"Processing error log file already exists. Overwriting {PREPROCESSING_ERRORS_LOG_FILE.name}") - - summary_lines = [ - "Records causing processing errors that were ignored:\n", - "=" * 30 + "\n", - f"Generated on: {pd.Timestamp.now().strftime('%Y-%m-%d %H:%M:%S')}\n", - f"Total errors: {len(preprocessing_error_logs)}\n\n", - ] - - for record in preprocessing_error_logs: - summary_lines.append( - f"Job ID: {record['job_id']}\n" - f"Error Type: {PreprocessingErrorTypeEnum(record['error_type']).value}\n" - f"Info: {record['info']}\n" - f"{'-' * 40}\n\n" - ) - - # Add all job IDs in one line for easy copying - job_ids = [str(record["job_id"]) for record in preprocessing_error_logs if record["job_id"] is not None] - if job_ids: - summary_lines.append(f"All Job IDs: {', '.join(job_ids)}\n") - - with open(PREPROCESSING_ERRORS_LOG_FILE, "w", encoding="utf-8") as f: - f.writelines(summary_lines) - + if cls.error_indices: + data = data.drop(index=list(cls.error_indices)).reset_index(drop=True) + + @staticmethod + def _check_for_infinity_values(data: pd.DataFrame) -> None: + """ + Check for infinity values in memory usage columns and raise warnings if found. + + Args: + data (pd.DataFrame): The dataframe to check for infinity values. + + Returns: + None: The function only raises warnings if infinity values are found. + """ + mem_usage_columns = ["CPUMemUsage", "GPUMemUsage"] + exist_column_set = set(data.columns.to_list()) + for col_name in mem_usage_columns: + if col_name not in exist_column_set: + continue + filtered = data[data[col_name] == np.inf].copy() + if len(filtered) > 0: + message = f"Some entries in {col_name} having infinity values. This may be caused by an overflow." + warnings.warn(message=message, stacklevel=2, category=UserWarning) + + @classmethod + def preprocess_data( + cls, + input_df: pd.DataFrame, + apply_filter: bool = True, + min_elapsed_seconds: int = DEFAULT_MIN_ELAPSED_SECONDS, + include_failed_cancelled_jobs: bool = False, + include_cpu_only_jobs: bool = False, + include_custom_qos_jobs: bool = False, + anonymize: bool = False, + ) -> pd.DataFrame: + """ + Preprocess dataframe, filtering out unwanted rows and columns, filling missing values and converting types. + + This function will take in a dataframe to create a new dataframe satisfying given criteria. + + Args: + input_df (pd.DataFrame): The input dataframe containing job data. + apply_filter (bool, optional): Whether to apply filtering operations and columns removal to the data. + Defaults to True. + min_elapsed_seconds (int, optional): Minimum elapsed time in seconds to keep a job record. Defaults to 600. + include_failed_cancelled_jobs (bool, optional): Whether to include jobs with status FAILED or CANCELLED. + include_cpu_only_jobs (bool, optional): Whether to include jobs that do not use GPUs (CPU-only jobs). + include_custom_qos_jobs (bool, optional): Whether to include entries with custom qos values. + anonymize (bool, optional): Whether to anonymize user and account information. + + Returns: + pd.DataFrame: The preprocessed dataframe + + Notes: + - The function supports two formats for the 'GPUType' column in the dataframe: + 1. Old format: list of GPU type strings, e.g. ['a100', 'v100'] + 2. New format: dict mapping GPU type to count, e.g. {'a100': 2, 'v100': 1} + - Both formats are automatically detected and handled for all VRAM calculations and downstream processing. + - The output DataFrame will have missing values filled, time columns converted, + and new columns added for VRAM and job statistics. + """ + cls.anonymize = anonymize + cols_to_remove = [col for col in ["UUID", "EndTime", "Nodes", "Preempted"] if col in input_df.columns] + data = input_df.drop(columns=cols_to_remove, axis=1, inplace=False) + + if apply_filter: + # Drop unnecessary columns, ignoring errors in case any of them is not in the dataframe + data = input_df.drop( + columns=[member.value for member in ExcludedColumnsEnum if member.value in input_df.columns], + axis=1, + inplace=False, + ) + # Perform column validation and filtering + data = cls._validate_columns_and_filter_records( + data, + min_elapsed_seconds, + include_failed_cancelled_jobs, + include_cpu_only_jobs, + include_custom_qos_jobs, + ) -def preprocess_data( - input_df: pd.DataFrame, - min_elapsed_seconds: int = DEFAULT_MIN_ELAPSED_SECONDS, - include_failed_cancelled_jobs: bool = False, - include_cpu_only_jobs: bool = False, - include_custom_qos_jobs: bool = False, - apply_filter: bool = True, -) -> pd.DataFrame: - """ - Preprocess dataframe, filtering out unwanted rows and columns, filling missing values and converting types. + # Log the format of GPUType being used + if not data.empty: + first_non_null = data["GPUType"].dropna().iloc[0] + if isinstance(first_non_null, dict): + print("[Preprocessing] Running with new database format: GPU types as dictionary.") + elif isinstance(first_non_null, list): + print("[Preprocessing] Running with old database format: GPU types as list.") - This function will take in a dataframe to create a new dataframe satisfying given criteria. + cls._fill_missing(data, include_cpu_only_jobs) + cls._cast_type_and_add_columns(data) - Args: - input_df (pd.DataFrame): The input dataframe containing job data. - min_elapsed_seconds (int, optional): Minimum elapsed time in seconds to keep a job record. Defaults to 600. - include_failed_cancelled_jobs (bool, optional): Whether to include jobs with status FAILED or CANCELLED. - include_cpu_only_jobs (bool, optional): Whether to include jobs that do not use GPUs (CPU-only jobs). - include_custom_qos_jobs (bool, optional): Whether to include entries with custom qos values or not. - Default to False - apply_filter (bool, optional): Whether to apply filtering operations and columns removal to the data. - Defaults to True. + cls._check_for_infinity_values(data) - Notes: - - The function supports two formats for the 'GPUType' column in the dataframe: - 1. Old format: list of GPU type strings, e.g. ['a100', 'v100'] - 2. New format: dict mapping GPU type to count, e.g. {'a100': 2, 'v100': 1} - - Both formats are automatically detected and handled for all VRAM calculations and downstream processing. - - The output DataFrame will have missing values filled, time columns converted, - and new columns added for VRAM and job statistics. + old_sw = warnings.showwarning # store previous function... + warnings.showwarning = cls.showwarning_preprocess # override showwarning function - Returns: - pd.DataFrame: The preprocessed dataframe + # Identify and handle duplicate JobIDs + duplicate_rows = data[data["JobID"].duplicated(keep=False)] + if not duplicate_rows.empty: + duplicate_message = ( + f"{len(duplicate_rows['JobID'].unique().tolist())} duplicate JobIDs detected. " + "Keeping only the latest entry for each JobID." + ) + warnings.warn(message=duplicate_message, stacklevel=2, category=UserWarning) + data_sorted = data.sort_values( + by="SubmitTime", ascending=False + ) # Sort by SubmitTime to keep the latest entry + data = data_sorted.drop_duplicates(subset=["JobID"], keep="first") # Keep the latest entry for each JobID - """ - data = input_df.copy() - if apply_filter: - # Drop unnecessary columns, ignoring errors in case any of them is not in the dataframe - data = input_df.drop( - columns=[member.value for member in ExcludedColumnsEnum if member.value in input_df.columns], - axis=1, - inplace=False, - ) - # Perform column validation and filtering - data = _validate_columns_and_filter_records( - data, - min_elapsed_seconds, - include_failed_cancelled_jobs, - include_cpu_only_jobs, - include_custom_qos_jobs, - ) - # Log the format of GPUType being used - if not data.empty: - first_non_null = data["GPUType"].dropna().iloc[0] - if isinstance(first_non_null, dict): - print("[Preprocessing] Running with new database format: GPU types as dictionary.") - elif isinstance(first_non_null, list): - print("[Preprocessing] Running with old database format: GPU types as list.") - _fill_missing(data, include_cpu_only_jobs) - _cast_type_and_add_columns(data) - - # Check for infinity values in memory usage columns - _check_for_infinity_values(data) - - # Identify and handle duplicate JobIDs - duplicate_rows = data[data["JobID"].duplicated(keep=False)] - if not duplicate_rows.empty: - duplicate_message = ( - f"{len(duplicate_rows['JobID'].unique().tolist())} duplicate JobIDs detected. " - "Keeping only the latest entry for each JobID." - ) - warnings.warn(message=duplicate_message, stacklevel=2, category=UserWarning) - data_sorted = data.sort_values(by="SubmitTime", ascending=False) # Sort by SubmitTime to keep the latest entry - data = data_sorted.drop_duplicates(subset=["JobID"], keep="first") # Keep the latest entry for each JobID + # Restore the original showwarning function + warnings.showwarning = old_sw - # Save preprocessing error logs to a file. - _write_preprocessing_error_logs(processing_error_logs) + # Save preprocessing error logs to a file. + cls._write_preprocessing_error_logs(cls.processing_error_logs) - # Reset the error logs after writing to file - processing_error_logs.clear() - error_indices.clear() + # Reset the error logs after writing to file + cls.processing_error_logs.clear() + cls.error_indices.clear() - return data \ No newline at end of file + return data diff --git a/src/utilities/load_and_preprocess_jobs.py b/src/utilities/load_and_preprocess_jobs.py index 49764fc..f742276 100644 --- a/src/utilities/load_and_preprocess_jobs.py +++ b/src/utilities/load_and_preprocess_jobs.py @@ -1,6 +1,6 @@ import pandas as pd from pathlib import Path -from src.preprocess.preprocess import preprocess_data +from src.preprocess import Preprocess from src.database import DatabaseConnection from src.config.constants import DEFAULT_MIN_ELAPSED_SECONDS from src.config.enum_constants import ( @@ -18,13 +18,14 @@ def load_and_preprocess_jobs( db_path: str | Path, table_name: str = "Jobs", - dates_back: int | None = None, + days_back: int | None = None, include_failed_cancelled_jobs: bool = False, include_cpu_only_jobs: bool = False, include_custom_qos_jobs: bool = False, min_elapsed_seconds: int = DEFAULT_MIN_ELAPSED_SECONDS, random_state: pd._typing.RandomState | None = None, sample_size: int | None = None, + anonymize: bool = False, ) -> pd.DataFrame: """ Load jobs DataFrame from a DuckDB database with standard filtering and preprocess it. @@ -35,7 +36,7 @@ def load_and_preprocess_jobs( Args: db_path (str or Path): Path to the DuckDB database. table_name (str, optional): Table name to query. Defaults to 'Jobs'. - dates_back (int, optional): Number of days back to filter jobs based on StartTime. + days_back (int, optional): Number of days back to filter jobs based on StartTime. Defaults to None. If None, will not filter by startTime. include_failed_cancelled_jobs (bool, optional): If True, include jobs with FAILED or CANCELLED status. Defaults to False. @@ -46,6 +47,8 @@ def load_and_preprocess_jobs( Defaults to DEFAULT_MIN_ELAPSED_SECONDS. random_state (pd._typing.RandomState, optional): Random state for reproducibility. Defaults to None. sample_size (int, optional): Number of rows to sample from the DataFrame. Defaults to None (no sampling). + anonymize (bool, optional): Whether to anonymize the DataFrame. Defaults to False. + Returns: pd.DataFrame: Preprocessed DataFrame containing the filtered job data. @@ -59,7 +62,7 @@ def load_and_preprocess_jobs( if isinstance(db_path, Path): db_path = db_path.resolve() try: - db = DatabaseConnection(str(db_path)) + db = DatabaseConnection(str(db_path), anonymize=anonymize) qos_values = "(" + ",".join(f"'{obj.value}'" for obj in QOSEnum) + ")" excluded_columns = "(" + ", ".join(f"{obj.value}" for obj in ExcludedColumnsEnum) + ")" @@ -74,8 +77,8 @@ def load_and_preprocess_jobs( f"Partition != '{AdminPartitionEnum.BUILDING.value}'", f"QOS != '{QOSEnum.UPDATES.value}'", ] - if dates_back is not None: - cutoff = datetime.now() - timedelta(days=dates_back) + if days_back is not None: + cutoff = datetime.now() - timedelta(days=days_back) conditions_arr.append(f"StartTime >= '{cutoff}'") if not include_custom_qos_jobs: conditions_arr.append(f"QOS in {qos_values}") @@ -87,7 +90,7 @@ def load_and_preprocess_jobs( query = f"SELECT * EXCLUDE {excluded_columns} FROM {table_name} WHERE {' AND '.join(conditions_arr)}" jobs_df = db.fetch_query(query=query) - processed_data = preprocess_data(jobs_df, apply_filter=False) + processed_data = Preprocess().preprocess_data(jobs_df, apply_filter=False, anonymize=anonymize) if sample_size is not None: processed_data = processed_data.sample(n=sample_size, random_state=random_state) return processed_data @@ -101,6 +104,7 @@ def load_and_preprocess_jobs_custom_query( custom_query: str | None = None, random_state: pd._typing.RandomState | None = None, sample_size: int | None = None, + anonymize: bool = False, ) -> pd.DataFrame: """ Load jobs DataFrame from a DuckDB database using a custom SQL query and preprocess it. @@ -115,6 +119,7 @@ def load_and_preprocess_jobs_custom_query( custom_query (str, optional): Custom SQL query to execute. If None, defaults to "SELECT * FROM {table_name}". random_state (pd._typing.RandomState, optional): Random state for reproducibility. Defaults to None. sample_size (int, optional): Number of rows to sample from the DataFrame. Defaults to None (no sampling). + anonymize (bool, optional): Whether to anonymize the DataFrame. Defaults to False. Returns: pd.DataFrame: Preprocessed DataFrame containing the data returned by the custom query. @@ -135,7 +140,7 @@ def load_and_preprocess_jobs_custom_query( if isinstance(db_path, Path): db_path = db_path.resolve() try: - db = DatabaseConnection(str(db_path)) + db = DatabaseConnection(str(db_path), anonymize=anonymize) if custom_query is None: custom_query = f"SELECT * FROM {table_name}" @@ -143,15 +148,16 @@ def load_and_preprocess_jobs_custom_query( jobs_df = db.fetch_query(custom_query) # Use permissive preprocessing settings to preserve all data from the custom query. - processed_data = preprocess_data( + processed_data = Preprocess().preprocess_data( jobs_df, min_elapsed_seconds=0, include_failed_cancelled_jobs=True, include_cpu_only_jobs=True, include_custom_qos_jobs=True, + anonymize=anonymize, ) if sample_size is not None: processed_data = processed_data.sample(n=sample_size, random_state=random_state) return processed_data except Exception as e: - raise RuntimeError(f"Failed to load jobs DataFrame: {e}") from e + raise RuntimeError(f"Failed to load jobs DataFrame. {e}") from e diff --git a/src/visualization/__init__.py b/src/visualization/__init__.py index 157049e..759f0be 100644 --- a/src/visualization/__init__.py +++ b/src/visualization/__init__.py @@ -2,3 +2,4 @@ from .columns import ColumnVisualizer as ColumnVisualizer from .efficiency_metrics import JobsWithMetricsVisualizer as JobsWithMetricsVisualizer from .efficiency_metrics import UsersWithMetricsVisualizer as UsersWithMetricsVisualizer +from .efficiency_metrics import PIGroupsWithMetricsVisualizer as PIGroupsWithMetricsVisualizer diff --git a/src/visualization/columns.py b/src/visualization/columns.py index 85186b9..dee35b5 100644 --- a/src/visualization/columns.py +++ b/src/visualization/columns.py @@ -18,6 +18,7 @@ from matplotlib.container import BarContainer from matplotlib.gridspec import GridSpec from matplotlib.patches import Patch +from matplotlib.lines import Line2D from pydantic import ValidationError from .models import ColumnVisualizationKwargsModel @@ -293,7 +294,7 @@ def _generate_start_time_histogram( max_time = col_data.max() total_days = (max_time - min_time).days + 1 - plt.figure(figsize=(7, 7)) + plt.figure(figsize=(10, 5)) plt.tight_layout() # If jobs span more than 2 days, plot jobs per day if total_days > 2: @@ -320,6 +321,26 @@ def _generate_start_time_histogram( ax.set_xticklabels(shown_labels, rotation=45, ha="right") else: plt.xticks(rotation=45, ha="right") + + # --- Legend with average, median, and first date --- + mean_count = float(jobs_per_day.mean()) + median_count = float(jobs_per_day.median()) + # Horizontal reference lines + ax.axhline(mean_count, color="red", linestyle="--", linewidth=1, alpha=0.8) + ax.axhline(median_count, color="purple", linestyle=":", linewidth=1, alpha=0.8) + legend_handles = [ + Line2D([0], [0], color="red", linestyle="--", label=f"Avg: {mean_count:.1f}"), + Line2D([0], [0], color="purple", linestyle=":", label=f"Median: {median_count:.1f}"), + Patch(facecolor="none", edgecolor="none", label=f"Days span: {total_days}"), + ] + ax.legend( + handles=legend_handles, + loc="best", + frameon=True, + fontsize=9, + title="Summary", + title_fontsize=10, + ) if output_dir_path is not None: plt.savefig(output_dir_path / f"{col}_days_lineplot.png", bbox_inches="tight") else: @@ -331,7 +352,7 @@ def _generate_start_time_histogram( plt.gca().xaxis.set_major_locator(plt.MaxNLocator(12)) plt.xlabel("Hour") plt.ylabel("Number of jobs") - plt.title(f"Histogram of Numer of Jobs per hour for {col}") + plt.title(f"Histogram of Number of Jobs per hour for {col}") plt.grid(True, which="both", axis="both", linestyle="--", alpha=0.5) # Set x-axis labels: show date at midnight, hour otherwise @@ -348,6 +369,25 @@ def _generate_start_time_histogram( ax.set_xticks(tick_locs[::step]) ax.set_xticklabels([tick_labels[i] for i in range(0, len(tick_labels), step)], rotation=45, ha="right") + # --- Legend with average, median, and first date --- + mean_count = float(jobs_per_hour.mean()) + median_count = float(jobs_per_hour.median()) + ax.axhline(mean_count, color="red", linestyle="--", linewidth=1, alpha=0.8) + ax.axhline(median_count, color="purple", linestyle=":", linewidth=1, alpha=0.8) + legend_handles = [ + Line2D([0], [0], color="red", linestyle="--", label=f"Avg: {mean_count:.1f}"), + Line2D([0], [0], color="purple", linestyle=":", label=f"Median: {median_count:.1f}"), + Patch(facecolor="none", edgecolor="none", label=f"Days span: {total_days}"), + ] + ax.legend( + handles=legend_handles, + loc="upper right", + frameon=True, + fontsize=9, + title="Summary", + title_fontsize=10, + ) + if output_dir_path is not None: plt.savefig(output_dir_path / f"{col}_hourly_lineplot.png", bbox_inches="tight") plt.show() @@ -472,24 +512,14 @@ def _generate_status_pie_chart(self, jobs_df: pd.DataFrame, col: str, output_dir for label, p in zip(exit_code_counts.index, pct_values, strict=True) ] - plt.figure(figsize=(5, 7)) - # Prepare legend labels for all slices legend_labels = [ f"{label}: {count} ({p:.1f}%)" for label, count, p in zip(exit_code_counts.index, exit_code_counts, pct_values, strict=True) ] - # Create a gridspec to reserve space for the legend above the pie - fig = plt.gcf() - fig.clf() - - # Use 3 rows: title, legend, pie - gs = GridSpec(3, 1, height_ratios=[0.05, 0.75, 0.25], hspace=0.0) - ax_title = fig.add_subplot(gs[0]) - ax_pie = fig.add_subplot(gs[1]) - ax_legend = fig.add_subplot(gs[2]) - + # Create figure with extra horizontal space for legend on the right + fig, ax_pie = plt.subplots(figsize=(10, 6)) wedges, *_ = ax_pie.pie( exit_code_counts, labels=labels, @@ -498,33 +528,29 @@ def _generate_status_pie_chart(self, jobs_df: pd.DataFrame, col: str, output_dir colors=sns.color_palette("pastel")[0 : len(exit_code_counts)], explode=explode, ) - ax_pie.axis("equal") + # Use a figure-level title so it spans the entire figure width (including legend space) + fig.suptitle(f"Job Status Distribution ({col})", fontsize=14, y=0.98) - # Hide the legend and title axes - ax_legend.axis("off") - ax_title.axis("off") - - ax_title.text( - 0.5, - 0.5, - f"Job Status Distribution ({col})", - ha="center", - va="center", - fontsize=14, - ) - plt.grid(axis="y", linestyle="--", alpha=0.5) - # Add a legend below the pie chart - ax_legend.legend( + # Place legend to the right of the pie chart + legend = ax_pie.legend( wedges, legend_labels, title="Job Status", - loc="center", - bbox_to_anchor=(0.5, 0.5), + loc="center left", + bbox_to_anchor=(1.02, 0.5), fontsize=10, title_fontsize=11, + borderaxespad=0.0, + frameon=True, ) - plt.tight_layout() + # Slight transparency for legend background for readability + legend.get_frame().set_alpha(0.9) + + # Adjust layout so legend isn't clipped + plt.subplots_adjust(right=0.78, top=0.88) + # tight_layout with rect leaves space for suptitle + fig.tight_layout(rect=(0, 0, 0.98, 0.90)) if output_dir_path is not None: plt.savefig(output_dir_path / f"{col}_piechart.png", bbox_inches="tight") plt.show() @@ -735,26 +761,21 @@ def _generate_gpu_count_pie_chart( str(label) if p >= threshold_pct else "" for label, p in zip(gpu_counts.index, pct_values, strict=True) ] - plt.figure(figsize=(5, 7)) - - # Prepare legend labels for all slices + # Prepare legend labels for all slices (limit to top 10 for readability) legend_labels = [ f"{label} GPU{'s' if int(label) != 1 else ''}: {count} ({p:.1f}%)" for label, count, p in zip(gpu_counts.index, gpu_counts, pct_values, strict=True) - ] + ][:10] - # Create a gridspec to reserve space for the legend above the pie - fig = plt.gcf() - fig.clf() + # Build figure with room on right for legend + fig, ax_pie = plt.subplots(figsize=(9, 5)) - # Use 3 rows: title, legend, pie - gs = GridSpec(3, 1, height_ratios=[0.05, 0.75, 0.25], hspace=0.0) - ax_title = fig.add_subplot(gs[0]) - ax_pie = fig.add_subplot(gs[1]) - ax_legend = fig.add_subplot(gs[2]) + # Format labels as "x GPU(s)" for each wedge (suppress small slices label text per earlier threshold rule) + formatted_labels = [ + f"{label} GPU{'s' if int(label) != 1 else ''}" if lab != "" else "" + for label, lab in zip(gpu_counts.index, labels, strict=True) + ] - # Format labels as "x GPU(s)" for each wedge - formatted_labels = [f"{label} GPU{'s' if int(label) != 1 else ''}" if label != "" else "" for label in labels] wedges, *_ = ax_pie.pie( gpu_counts, labels=formatted_labels, @@ -764,29 +785,27 @@ def _generate_gpu_count_pie_chart( explode=explode, ) ax_pie.axis("equal") - # Hide the legend and title axes - ax_legend.axis("off") - ax_title.axis("off") - ax_title.text( - 0.5, - 0.5, - f"GPU Count Distribution ({col})", - ha="center", - va="center", - fontsize=14, - ) - plt.grid(axis="y", linestyle="--", alpha=0.5) - # Add a legend below the pie chart - ax_legend.legend( + + # Figure-level title spanning entire width + fig.suptitle(f"GPU Count Distribution ({col})", fontsize=14, y=0.97) + + # Legend to the right + legend = ax_pie.legend( wedges, legend_labels, title="GPU Count", - loc="center", - bbox_to_anchor=(0.5, 0.5), + loc="center left", + bbox_to_anchor=(0.7, 0.5), fontsize=10, title_fontsize=11, + frameon=True, + borderaxespad=0.0, ) - plt.tight_layout() + legend.get_frame().set_alpha(0.9) + + # Adjust layout so legend not clipped + plt.subplots_adjust(right=0.78, top=0.88) + fig.tight_layout(rect=(0, 0, 0.98, 0.90)) if output_dir_path is not None: plt.savefig(output_dir_path / f"{col}_piechart.png", bbox_inches="tight") plt.show() @@ -1130,8 +1149,9 @@ def _generate_gpu_memory_usage_histogram_categorical_bins( # Bin the data by closest category (floor to the largest category <= value) bins = [-0.1] + VRAM_CATEGORIES # -0.1 to include 0 exactly - binned = pd.cut(col_data, bins=bins, labels=vram_labels, right=True, include_lowest=True) + binned = pd.cut(col_data, bins=bins, labels=vram_labels, right=False, include_lowest=True) binned[col_data == 0] = "0" + binned[col_data > max(VRAM_CATEGORIES)] = str(max(VRAM_CATEGORIES)) bin_counts = binned.value_counts(sort=False, dropna=False) bin_percents = bin_counts / bin_counts.sum() * 100 @@ -1168,8 +1188,8 @@ def _generate_gpu_memory_usage_histogram_categorical_bins( ax.set_xticks(x_ticks) ax.set_xticklabels(vram_labels) ax.set_xlabel("GPU Memory (GiB)") - ax.set_ylabel("Percent of Jobs") - ax.set_title(f"Histogram of GPU VRAM Usage ({col})") + ax.set_ylabel("Percentage of Jobs") + ax.set_title("Histogram of GPU VRAM Usage") plt.grid(axis="y", linestyle="--", alpha=0.5) # --- Bar labels with gap above tallest label --- diff --git a/src/visualization/efficiency_metrics.py b/src/visualization/efficiency_metrics.py index 57bdb3f..809c8a2 100644 --- a/src/visualization/efficiency_metrics.py +++ b/src/visualization/efficiency_metrics.py @@ -3,16 +3,24 @@ """ from abc import ABC +import math from pathlib import Path -from typing import Any +from typing import Any, cast import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from pydantic import ValidationError +from matplotlib.transforms import blended_transform_factory +from .models import ( + EfficiencyMetricsKwargsModel, + JobsWithMetricsKwargsModel, + UsersWithMetricsKwargsModel, + UsersWithMetricsHistKwargsModel, + PIGroupsWithMetricsKwargsModel, +) -from .models import EfficiencyMetricsKwargsModel, UsersWithMetricsKwargsModel from .visualization import DataVisualizer @@ -52,10 +60,79 @@ def validate_visualize_kwargs( ) from e self.validate_column_argument(col_kwargs.column, validated_jobs_df) - self.validate_columns(col_kwargs.bar_label_columns, validated_jobs_df) + if hasattr(col_kwargs, "bar_label_columns") and col_kwargs.bar_label_columns is not None: + self.validate_columns(col_kwargs.bar_label_columns, validated_jobs_df) self.validate_figsize(col_kwargs.figsize) return col_kwargs + @staticmethod + def _human_readable_value(val: object) -> str: + """Format numeric values human-readably. + + Rules (assumptions where unspecified): + - "Small" numbers (abs(value) < 1_000) -> always show two decimals, rounding UP (toward +infinity) + e.g. 1.234 -> 1.24, 0.001 -> 0.01, -1.231 -> -1.23 (up toward +inf makes negative less negative) + - Thousands (>= 1_000 and < 1_000_000) -> comma separated with no decimals (123,456) + - Millions and above use suffix with two decimals: 12.35 M, 3.40 B, 1.00 T + - Handles ints, floats, numpy numeric types; returns original repr for non-numerics. + - NA/None -> 'NA' + + Args: + val (object): The value to format. + + Returns: + str: Human-readable formatted representation. + """ + if val is None or (isinstance(val, float) and math.isnan(val)): + return "NA" + # numpy / pandas NA + try: + import pandas as _pd # local import to avoid circular issues + + try: + _tmp_val = val # help type checkers + isna_func = getattr(_pd, "isna", None) + if callable(isna_func) and isna_func(_tmp_val): # type: ignore[call-arg] + return "NA" + except TypeError: # Non-array-like objects may raise + pass + except Exception: # pragma: no cover - defensive + pass + if not isinstance(val, (int, float, np.integer, np.floating)): + return str(val) + # Cast to float for magnitude / operations + fval = float(val) + abs_val = abs(fval) + # Small number branch + if abs_val < 1_000: + if fval >= 0: + up = math.ceil(fval * 100) / 100.0 + else: + # Up toward +infinity for negatives makes value less negative + up = -math.ceil(-fval * 100) / 100.0 + if abs(up - int(up)) < 1e-9: + return f"{int(up)}" + return f"{up:.2f}".rstrip("0").rstrip(".") + # Large number branches with suffixes + suffixes = [ + (1_000_000_000_000, "T"), + (1_000_000_000, "B"), + (1_000_000, "M"), + ] + for threshold, suffix in suffixes: + if abs_val >= threshold: + scaled = fval / threshold + formatted = f"{scaled:.2f}" + if formatted.endswith(".00"): + formatted = formatted[:-3] + else: + # Trim a single trailing 0 if present (e.g., 1.50 -> 1.5) but keep at least one decimal + if formatted.endswith("0"): + formatted = formatted[:-1] + return f"{formatted} {suffix}" + # Thousands (no suffix) -> comma separated, no decimals + return f"{int(round(fval)):,}" + class JobsWithMetricsVisualizer(EfficiencyMetricsVisualizer): """Visualizer for jobs with efficiency metrics. @@ -81,11 +158,15 @@ def visualize(self, output_dir_path: Path | None = None, **kwargs: dict[str, Any None: Displays the bar plot of jobs ranked by the specified efficiency metric. """ jobs_with_metrics_df = self.validate_dataframe() - validated_kwargs = self.validate_visualize_kwargs(kwargs, jobs_with_metrics_df, EfficiencyMetricsKwargsModel) + validated_kwargs = self.validate_visualize_kwargs(kwargs, jobs_with_metrics_df, JobsWithMetricsKwargsModel) + validated_kwargs = cast(JobsWithMetricsKwargsModel, validated_kwargs) column = validated_kwargs.column bar_label_columns = validated_kwargs.bar_label_columns figsize = validated_kwargs.figsize output_dir_path = self.validate_output_dir(output_dir_path) + if validated_kwargs.anonymize: + jobs_with_metrics_df["User"] = self.anonymize_str_column(jobs_with_metrics_df["User"], "user_") + jobs_with_metrics_df["Account"] = self.anonymize_str_column(jobs_with_metrics_df["Account"], "pi_") # Create y-tick labels with JobID and User # Only include idx in the label if there are duplicate JobID values @@ -120,16 +201,16 @@ def visualize(self, output_dir_path: Path | None = None, **kwargs: dict[str, Any "job_index_and_username": yticklabels, }) - # barplot = sns.barplot(y=yticklabels, x=jobs_with_metrics_df[column], orient="h") barplot = sns.barplot( data=plot_df, y="job_index_and_username", x="col_height", orient="h", ) - plt.xlabel(column.upper()) + readable_column = column.replace("_", " ") + plt.xlabel(readable_column.upper()) plt.ylabel(r"Jobs ($\mathtt{JobID}$ of $\mathtt{User})$") - plt.title(f"Top Inefficient Jobs by {column.upper()}") + plt.title(f"Top Inefficient Jobs by {readable_column.upper()}") ax = barplot xmax = jobs_with_metrics_df[column].max() @@ -153,8 +234,20 @@ def visualize(self, output_dir_path: Path | None = None, **kwargs: dict[str, Any strict=True, ) ): + + def _format_col(col: str) -> str: + prefix = "expected_value_" + if col.startswith(prefix): + return f'EV("{col[len(prefix) :]}")' + return col + label_lines = [ - f"{col}: {val:.2f}" for col, val in zip(bar_label_columns, label_values_columns, strict=True) + f"{_format_col(col)}: {EfficiencyMetricsVisualizer._human_readable_value(val)}" + for col, val in zip( + bar_label_columns, + label_values_columns, + strict=True, + ) ] label_text = "\n".join(label_lines) # Calculate x position for label text @@ -194,35 +287,76 @@ def visualize(self, output_dir_path: Path | None = None, **kwargs: dict[str, Any users_with_metrics_df = self.validate_dataframe() validated_kwargs = self.validate_visualize_kwargs(kwargs, users_with_metrics_df, UsersWithMetricsKwargsModel) column = validated_kwargs.column + validated_kwargs = cast(UsersWithMetricsKwargsModel, validated_kwargs) bar_label_columns = validated_kwargs.bar_label_columns figsize = validated_kwargs.figsize output_dir_path = self.validate_output_dir(output_dir_path) + if validated_kwargs.anonymize: + users_with_metrics_df["User"] = self.anonymize_str_column(users_with_metrics_df["User"], "user_") + users_with_metrics_df["pi_account"] = self.anonymize_str_column(users_with_metrics_df["pi_account"], "pi_") + + xmin = users_with_metrics_df[column].min() + # If the minimum value is negative, we need to adjust the heights of the bars + # to ensure they start from zero for better visualization. + # This is particularly useful for metrics like allocated VRAM efficiency score. + if xmin < 0: + col_heights = pd.Series( + [abs(xmin)] * len(users_with_metrics_df[column]), index=users_with_metrics_df[column].index + ) - abs(users_with_metrics_df[column]) + print(f"Minimum value for {column}: {xmin}") + else: + col_heights = users_with_metrics_df[column] - yticklabels = users_with_metrics_df["User"] plt.figure(figsize=figsize) - barplot = sns.barplot(y=yticklabels, x=users_with_metrics_df[column], orient="h") - plt.xlabel(column.upper()) + plot_df = pd.DataFrame({ + "col_height": col_heights.to_numpy(), + "job_hours": users_with_metrics_df["user_job_hours"], + "username": users_with_metrics_df["User"], + }) + barplot = sns.barplot( + data=plot_df, y="username", x="col_height", orient="h", palette="Blues_r", hue="username" + ) + readable_column = column.replace("_", " ") + plt.xlabel(readable_column.upper()) plt.ylabel(f"{'Users'}") - plt.title(f"Top Inefficient Users by {column.upper()}") + plt.title(f"Top Inefficient Users by {readable_column.upper()}") ax = barplot xmax = users_with_metrics_df[column].max() # Set x-axis limit to 1.6 times the maximum value # This ensures that the bars do not touch the right edge of the plot xlim_multiplier = 1.6 - xlim = xmax * xlim_multiplier if xmax > 0 else 1 + xlim = abs(xmin) * xlim_multiplier if xmin < 0 else (xmax * xlim_multiplier if xmax > 0 else 1) ax.set_xlim(0, xlim) + # If the minimum value is negative, we need to adjust the x-ticks accordingly + if xmin < 0: + num_xticks = max(4, min(12, int(abs(xmin) // (xlim * 0.10)) + 1)) + xticks = np.linspace(xmin, 0, num=num_xticks) + ax.set_xticks([abs(xmin) - abs(val) for val in xticks]) + ax.set_xticklabels([f"{val:.2f}" if -1 < val < 1 else f"{val:.0f}" for val in xticks], rotation=45) if bar_label_columns is not None: for i, (*label_values_columns, column_value) in enumerate( zip( *(users_with_metrics_df[col] for col in bar_label_columns), - users_with_metrics_df[column], + plot_df["col_height"], strict=True, ) ): + + def _format_col(col: str) -> str: + prefix = "expected_value_" + if col.startswith(prefix): + return f'EV("{col[len(prefix) :]}")' + return col + label_lines = [ - f"{col}: {val:.2f}" for col, val in zip(bar_label_columns, label_values_columns, strict=True) + f"{_format_col(col)}: {EfficiencyMetricsVisualizer._human_readable_value(val)}" + for col, val in zip( + bar_label_columns, + label_values_columns, + strict=True, + ) ] label_text = "\n".join(label_lines) # Calculate x position for label text @@ -233,5 +367,405 @@ def visualize(self, output_dir_path: Path | None = None, **kwargs: dict[str, Any plt.tight_layout() if output_dir_path is not None: - plt.savefig(output_dir_path / f"jobs_ranked_by_{column}_barplot.png", bbox_inches="tight") + plt.savefig(output_dir_path / f"users_ranked_by_{column}_barplot.png", bbox_inches="tight") + plt.show() + + def visualize_metric_distribution(self, output_dir_path: Path | None = None, **kwargs: dict[str, Any]) -> None: + """Visualize the distribution of efficiency metrics for users. + + Args: + output_dir_path (Path | None): Path to save the output plot. + **kwargs (dict[str, Any]): Keyword arguments for visualization. + This can include: + - column (str): The efficiency metric to visualize. + - figsize (tuple[int | float, int | float]): Size of the figure. + + Returns: + None: Displays the distribution plot of the specified efficiency metric. + """ + users_with_metrics_df = self.validate_dataframe() + validated_kwargs = self.validate_visualize_kwargs( + kwargs, + users_with_metrics_df, + UsersWithMetricsHistKwargsModel, + ) + column = validated_kwargs.column + figsize = validated_kwargs.figsize + output_dir_path = self.validate_output_dir(output_dir_path) + + # Distribution of Avg Requested VRAM Efficiency Score (actual values; all are <= 0) + # We keep scores as-is (negative or zero) and construct bins that respect the skew while + # still giving higher resolution near zero using log-spaced absolute values mapped back to negatives. + values = users_with_metrics_df[column].dropna() + max_val = users_with_metrics_df[column].max() + min_val = users_with_metrics_df[column].min() + + if values.empty: + print(f"No values to plot for column '{column}'.") + print(f"{users_with_metrics_df[column].isna().sum()} NaN values found.") + return + # If all scores are exactly zero, a histogram is not informative + if (values != 0).sum() == 0: + print(f"All values are zero for column '{column}'; histogram not informative.") + return + + fig, ax = plt.subplots(figsize=figsize) + + # Calculate bins and set the span of x-axis limits + min_abs = None # initialize so later symlog logic is safe for both branches + use_log = False # Will be determined based on the distribution + xlim_multiplier_right = 1.6 + xlim_multiplier_left = 0.8 + xlim_threshold = 2 + if max_val < 0: + left, right = ax.get_xlim() + if right < 0: + ax.set_xlim(left, 0) + # All values strictly negative (or zero filtered out earlier). Build log-spaced bins on abs values. + neg_scores = values[values < 0] + if not neg_scores.empty: + n_bins = 100 + min_abs = neg_scores.abs().min() + max_abs = neg_scores.abs().max() + if min_abs == max_abs: + # Degenerate: every negative value identical. + bins = np.linspace(neg_scores.min(), 0, 20) + else: + abs_edges = np.logspace(np.log10(min_abs), np.log10(max_abs), n_bins) + # Convert absolute edges to negative edges (descending), then append 0 as the last edge + neg_edges = -abs_edges[::-1] + bins = np.unique(np.concatenate([neg_edges, [0]])) + use_log = True + else: + # Fallback (should not normally happen because zeros-only handled earlier) + bins = np.linspace(-1, 0, 20) + else: + # All scores are non-negative (>= 0). Decide between linear and log bins heuristically. + # We'll set the upper x-limit now, and defer the lower x-limit until after we decide + # whether a log-like scale is used so we can avoid an unnecessary empty span from 0 + # to a much larger minimum positive value. + non_negative_values = values[values >= 0] + if non_negative_values.empty: + # All zeros already handled above, but keep a safe fallback. + bins = np.linspace(0, 1, 20) + else: + # Heuristics: + # - Use log bins if dynamic range spans many orders of magnitude OR high dispersion. + # - Keep linear if range is modest or very few unique values. + min_non_negative = non_negative_values.min() + max_val = non_negative_values.max() + xlim_right = max_val * xlim_multiplier_right if max_val > xlim_threshold else 1 + xlim_left = min_val * xlim_multiplier_left if min_val > 0 else 0 + ax.set_xlim(xlim_left, xlim_right) + + # Guard: if min_non_negative == max_non_negative, just create narrow linear bins. + if min_non_negative == max_val: + center = min_non_negative + width = center * 0.05 if center != 0 else 1.0 + bins = np.linspace(center - width, center + width, 20) + else: + dynamic_range = max_val / min_non_negative + range_span = max_val - min_non_negative + mean_pos = non_negative_values.mean() + coef_var = non_negative_values.std() / mean_pos if mean_pos != 0 else 0 + unique_count = non_negative_values.nunique() + use_log = ( + (dynamic_range >= 50 and range_span > xlim_threshold) # wide dynamic range + or (dynamic_range >= 20 and coef_var > 1.0) # moderately wide but highly dispersed + ) and unique_count >= 5 + # Choose number of bins scaling sublinearly with sample size but capped. + est_bins = max(20, min(100, int(np.sqrt(len(non_negative_values)) * 10))) + if use_log: + bins = np.logspace( + np.log10(min_non_negative) if min_non_negative > 0 else 0, + np.log10(max_val), + est_bins, + ) + else: + bins = np.linspace(values.min(), values.max(), est_bins) + + # plot and get height of tallest bin + sns.histplot(values, bins=bins, color="#1f77b4", ax=ax) + ax.set_xlabel(column.replace("_", " ").upper()) + ax.set_ylabel("Count") + ax.set_title(f"Distribution of {column.replace('_', ' ').upper()}") + + # Apply symmetrical log scale to x-axis to compress the long negative tail while keeping zero. + # linthresh defines the range around zero that stays linear; choose smallest non-zero magnitude. + + # Ensure endpoint ticks (user request): when the distribution has non-negative values (max_val >= 0), + # guarantee that the left-most and right-most x-limits are explicitly represented as ticks. + if use_log: + if min_abs is not None and min_abs > 0: + linthresh = min_abs + else: + # Fallback: adapt threshold to data sign & scale + if max_val < 0: + # Negative-only distribution: scale threshold to magnitude of most negative value + linthresh = max(1e-6, abs(values.min()) * 0.01) + else: + # Positive distribution: base on smallest positive value (if any) + non_negative_values = values[values > 0] + if not non_negative_values.empty: + linthresh = max(1e-6, non_negative_values.min() * 0.1) + else: + linthresh = 1e-6 + ax.set_xscale("symlog", linthresh=linthresh, linscale=1.0, base=10) + + # Annotation: counts (negative & zero) and total + neg_count = (values < 0).sum() + zero_count = (values == 0).sum() + positive_count = (values > 0).sum() + count = neg_count if neg_count > 0 else positive_count + total = len(values) + annotation_text = ( + f"# of Users: {total}\n" + f"Counts:\n" + f" {'Negative' if neg_count > 0 else 'Positive'}: {count}\n" + f" Zero: {zero_count}" + ) + + # Automatic placement similar in spirit to legend(loc='best'): + # Choose left/right based on where the data mass (mean) lies; choose top/bottom based on headroom. + data_min, data_max = bins[0], bins[-1] + midpoint = (data_min + data_max) / 2 + mean_val = values.mean() + # Horizontal placement: opposite side of main mass + place_right = mean_val < midpoint # mass on left -> annotate on right + x_pos = 0.82 if place_right else 0.02 + + # Ensure limits are updated (draw figure canvas if needed) + ax.figure.canvas.draw_idle() + + ax.text( + x_pos, + 0.90, + annotation_text, + transform=ax.transAxes, + ha="left", + va="top", + fontsize=9, + bbox=dict(boxstyle="round,pad=0.3", fc="white", ec="gray", alpha=0.9), + ) + + # Cumulative distribution (CDF) over actual score values + counts, bin_edges = np.histogram(values, bins=bins) + cdf = np.cumsum(counts) / counts.sum() + mids = (bin_edges[1:] + bin_edges[:-1]) / 2 + ax2 = ax.twinx() + ax2.plot(mids, cdf, color="crimson", marker="o", linestyle="-", linewidth=1, markersize=3) + ax2.set_ylim(0, 1) + ax2.set_ylabel("Cumulative Fraction", color="crimson") + ax2.tick_params(axis="y", colors="crimson") + + # Notes: + # - We plot the actual (negative/zero) scores instead of absolute values. + # - symlog x-scale provides a log-like compression for large negative magnitudes while keeping zero. + # - linthresh picks the smallest non-zero magnitude so near-zero structure is visible. + # - CDF is computed over actual values to show accumulation from most negative toward zero. + + plt.tight_layout() + plt.setp(ax.get_xticklabels(), visible=True) + if output_dir_path is not None: + plt.savefig(output_dir_path / f"user_{column}_distribution.png", bbox_inches="tight") + plt.show() + + +class PIGroupsWithMetricsVisualizer(EfficiencyMetricsVisualizer): + """Visualizer for PI groups with efficiency metrics. + + Visualizes PI groups ranked by selected efficiency metric. + """ + + def __init__(self, data: pd.DataFrame) -> None: + super().__init__(data) + + def visualize(self, output_dir_path: Path | None = None, **kwargs: dict[str, Any]) -> None: + """Visualize the efficiency metrics for PI groups. + + Args: + output_dir_path (Path | None): Path to save the output plot. + **kwargs (dict[str, Any]): Keyword arguments for visualization. + This can include: + - column (str): The efficiency metric to visualize. + - bar_label_columns (list[str] | None): Columns to use for bar labels. + - figsize (tuple[int | float, int | float]): Size of the figure. + + Returns: + None: Displays the bar plot of PI groups ranked by the specified efficiency metric. + """ + pi_groups_with_metrics_df = self.validate_dataframe() + validated_kwargs = self.validate_visualize_kwargs( + kwargs, + pi_groups_with_metrics_df, + PIGroupsWithMetricsKwargsModel, + ) + column = validated_kwargs.column + validated_kwargs = cast(PIGroupsWithMetricsKwargsModel, validated_kwargs) + bar_label_columns = validated_kwargs.bar_label_columns + figsize = validated_kwargs.figsize + output_dir_path = self.validate_output_dir(output_dir_path) + if validated_kwargs.anonymize: + pi_groups_with_metrics_df["pi_account"] = self.anonymize_str_column( + pi_groups_with_metrics_df["pi_account"], "pi_" + ) + + xmin = pi_groups_with_metrics_df[column].min() + # If the minimum value is negative, we need to adjust the heights of the bars + # to ensure they start from zero for better visualization. + # This is particularly useful for metrics like allocated VRAM efficiency score. + if xmin < 0: + col_heights = pd.Series( + [abs(xmin)] * len(pi_groups_with_metrics_df[column]), index=pi_groups_with_metrics_df[column].index + ) - abs(pi_groups_with_metrics_df[column]) + print(f"Minimum value for {column}: {xmin}") + else: + col_heights = pi_groups_with_metrics_df[column] + + plt.figure(figsize=figsize) + plot_df = pd.DataFrame({ + "col_height": col_heights.tolist(), + "job_hours": pi_groups_with_metrics_df["pi_acc_job_hours"].tolist(), + "pi_account": pi_groups_with_metrics_df["pi_account"].tolist(), + "user_count": pi_groups_with_metrics_df.get( + "user_count", ["-"] * len(pi_groups_with_metrics_df["user_count"]) + ), + }) + barplot = sns.barplot( + data=plot_df, y="pi_account", x="col_height", orient="h", palette="Blues_r", hue="pi_account" + ) + + # We'll replace the default tick labels with custom two-line labels placed OUTSIDE the left spine. + + readable_column = column.replace("_", " ") + plt.xlabel(readable_column.upper()) + plt.ylabel("PI Accounts") + plt.title(f"Top Inefficient PI Accounts by {readable_column.upper()}") + + ax = barplot + ax.set_yticks(range(len(plot_df["pi_account"]))) + ax.set_yticklabels([]) # clear built-in labels + + transform = blended_transform_factory(ax.transAxes, ax.transData) # x in axes fraction, y in data coords + x_outside = -0.02 # negative x fraction places text just left of spine; adjust if needed + line_gap = 0.4 # vertical separation between the two lines + # Collect created text objects so we can measure their rendered widths and + # place the y-axis label far enough to the left dynamically. + label_text_objs: list[Any] = [] + for y_pos, (pi, uc) in enumerate(zip(plot_df["pi_account"], plot_df["user_count"], strict=True)): + # First line (PI account) slightly above center + t1 = ax.text( + x_outside, + y_pos - line_gap / 2, + pi, + ha="right", + va="center", + transform=transform, + fontsize=10, + clip_on=False, + ) + # Second line (Users) slightly below center + t2 = ax.text( + x_outside, + y_pos + line_gap / 2, + f"# of Users: {uc}", + ha="right", + va="center", + transform=transform, + fontsize=9, + color="dimgray", + clip_on=False, + ) + label_text_objs.extend([t1, t2]) + + # Y-axis label: place further left than custom tick labels. + ax.set_ylabel("PI Account", rotation=90, labelpad=20) + # Dynamically determine how far left the ylabel should go based on the + # widest of the custom y-axis labels we just drew. We measure text in display + # coordinates then convert width to an axes-fraction offset. + try: + fig = ax.figure + # Ensure renderer exists (needed for text bounding boxes) + fig.canvas.draw() # force a draw so extents are up-to-date + # Some backends expose get_renderer; otherwise use _get_renderer (Agg) or derive via draw + renderer = getattr(fig.canvas, "get_renderer", None) + if renderer is not None: + renderer = renderer() + else: + # Agg / fallback + renderer = getattr(fig.canvas, "_get_renderer", None) + if renderer is not None: + renderer = renderer() + else: + # Last resort: trigger draw which returns a renderer for some backends + fig.canvas.draw() + renderer = getattr(fig.canvas, "renderer", None) + min_left_axes = 0.0 # track furthest left (most negative) axes-fraction coordinate reached by labels + for txt in label_text_objs: + # Position given is in axes fraction for x (because of blended transform); get right edge in display + x_axes, _ = txt.get_position() + right_disp_x = ax.transAxes.transform((x_axes, 0))[0] + bbox = txt.get_window_extent(renderer=renderer) + left_disp_x = right_disp_x - bbox.width + left_axes = ax.transAxes.inverted().transform((left_disp_x, 0))[0] + if left_axes < min_left_axes: + min_left_axes = left_axes + # Add a small margin (in axes fraction) beyond the furthest left label + margin = 0.04 + ylabel_x = min_left_axes - margin + ax.yaxis.set_label_coords(ylabel_x, 0.5) + except Exception: + # Fallback to a reasonable static offset if measurement fails + ax.yaxis.set_label_coords(x_outside - 0.30, 0.5) + + # Hide y-axis tick labels (already blank) but keep small outward ticks if desired + ax.tick_params(axis="y", which="both", direction="out", length=4, pad=2) + plt.subplots_adjust(left=0.7) + + xmax = pi_groups_with_metrics_df[column].max() + # Set x-axis limit to 1.6 times the maximum value + # This ensures that the bars do not touch the right edge of the plot + xlim_multiplier = 1.6 + xlim = abs(xmin) * xlim_multiplier if xmin < 0 else (xmax * xlim_multiplier if xmax > 0 else 1) + ax.set_xlim(0, xlim) + # If the minimum value is negative, we need to adjust the x-ticks accordingly + if xmin < 0: + num_xticks = max(4, min(12, int(abs(xmin) // (xlim * 0.10)) + 1)) + xticks = np.linspace(xmin, 0, num=num_xticks) + ax.set_xticks([abs(xmin) - abs(val) for val in xticks]) + ax.set_xticklabels([f"{val:.2f}" if -1 < val < 1 else f"{val:.0f}" for val in xticks], rotation=45) + + if bar_label_columns is not None: + for i, (*label_values_columns, column_value) in enumerate( + zip( + *(pi_groups_with_metrics_df[col] for col in bar_label_columns), + plot_df["col_height"], + strict=True, + ) + ): + + def _format_col(col: str) -> str: + prefix = "expected_value_" + if col.startswith(prefix): + return f'EV("{col[len(prefix) :]}")' + return col + + label_lines = [ + f"{_format_col(col)}: {EfficiencyMetricsVisualizer._human_readable_value(val)}" + for col, val in zip( + bar_label_columns, + label_values_columns, + strict=True, + ) + ] + label_text = "\n".join(label_lines) + # Calculate x position for label text + label_offset_fraction = 0.02 # Use a small offset to avoid overlap with the bar + label_max_fraction = 0.98 # To prevent the text from being clipped at the right edge + xpos = min(column_value + xlim * label_offset_fraction, xlim * label_max_fraction) + ax.text(xpos, i, label_text, va="center", ha="left", fontsize=10, color="black", clip_on=True) + + plt.tight_layout() + if output_dir_path is not None: + plt.savefig(output_dir_path / f"pi_groups_ranked_by_{column}_barplot.png", bbox_inches="tight") plt.show() diff --git a/src/visualization/models.py b/src/visualization/models.py index 7c146d9..656a4aa 100644 --- a/src/visualization/models.py +++ b/src/visualization/models.py @@ -15,6 +15,15 @@ class ColumnVisualizationKwargsModel(BaseModel): class EfficiencyMetricsKwargsModel(BaseModel): """Model for keyword arguments used in efficiency metrics visualizations.""" + model_config = ConfigDict(strict=True, extra="allow") + column: str + figsize: tuple[int | float, int | float] = Field(default=(8, 10)) + anonymize: bool = Field(default=False) + + +class JobsWithMetricsKwargsModel(EfficiencyMetricsKwargsModel): + """Model for keyword arguments used in jobs with metrics visualizations.""" + model_config = ConfigDict(strict=True, extra="forbid") column: str bar_label_columns: list[str] | None @@ -28,3 +37,20 @@ class UsersWithMetricsKwargsModel(EfficiencyMetricsKwargsModel): column: str bar_label_columns: list[str] | None figsize: tuple[int | float, int | float] = Field(default=(8, 8)) + + +class UsersWithMetricsHistKwargsModel(EfficiencyMetricsKwargsModel): + """Model for keyword arguments used in user metrics histogram visualizations.""" + + model_config = ConfigDict(strict=True, extra="forbid") + column: str + figsize: tuple[int | float, int | float] = Field(default=(8, 5)) + + +class PIGroupsWithMetricsKwargsModel(EfficiencyMetricsKwargsModel): + """Model for keyword arguments used in PI group metrics visualizations.""" + + model_config = ConfigDict(strict=True, extra="forbid") + column: str + bar_label_columns: list[str] | None + figsize: tuple[int | float, int | float] = Field(default=(8, 8)) diff --git a/src/visualization/visualization.py b/src/visualization/visualization.py index bdb33a2..4ded771 100644 --- a/src/visualization/visualization.py +++ b/src/visualization/visualization.py @@ -47,6 +47,19 @@ def validate_dataframe(self) -> pd.DataFrame: raise ValueError("DataFrame has no columns.") return self.df + @staticmethod + def anonymize_str_column(column: pd.Series, prefix: str) -> pd.Series: + """Anonymize a DataFrame column by replacing its values with a unique identifier. + + Args: + column (pd.Series): The column to anonymize. + prefix (str): The prefix to add to the anonymized values. + + Returns: + pd.Series: The anonymized column. + """ + return prefix + column.rank(method="dense").astype(int).astype(str).str.zfill(2) + @staticmethod def validate_sampling_arguments(sample_size: int | None, random_seed: int | None) -> tuple[int | None, int | None]: """Validate the sample size and random seed for visualization. diff --git a/tests/conftest.py b/tests/conftest.py index 9cb47b6..9b47f20 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,5 +1,6 @@ import shutil import tempfile +import os from collections.abc import Generator import pandas as pd @@ -9,6 +10,7 @@ from .mock_data.convert_csv_to_db import convert_csv_to_db from src.config.enum_constants import QOSEnum, AdminPartitionEnum, AdminsAccountEnum, PartitionTypeEnum, StatusEnum from src.config.remote_config import PartitionInfoFetcher +from src.config.paths import PREPROCESSING_ERRORS_LOG_FILE def preprocess_mock_data( @@ -117,3 +119,29 @@ def mock_data_frame(mock_data_path: str) -> Generator[pd.DataFrame]: finally: if mem_db is not None: mem_db.disconnect() + + +@pytest.fixture(scope="session", autouse=True) +def _cleanup_preprocess_log_after_tests() -> Generator[None, None, None]: + """Automatically remove the temporary preprocessing log file created during tests. + + This fixture only performs cleanup when RUN_ENV=TEST and the log file path points to + a temporary directory (created in paths.py). The file and its directory are removed + after the entire test session if tests complete successfully. + """ + run_env = os.getenv("RUN_ENV") + is_test_env = run_env == "TEST" + try: + yield + finally: + if is_test_env and PREPROCESSING_ERRORS_LOG_FILE.exists(): + tmp_dir = PREPROCESSING_ERRORS_LOG_FILE.parent + try: + # Remove the log file and its parent temp directory + PREPROCESSING_ERRORS_LOG_FILE.unlink(missing_ok=True) # type: ignore[arg-type] + # Only remove directory if empty + if not any(tmp_dir.iterdir()): + tmp_dir.rmdir() + except Exception: + # Silently ignore cleanup errors to not interfere with test results + pass diff --git a/tests/test_load_and_preprocess_jobs.py b/tests/preprocess/test_load_and_preprocess_jobs.py similarity index 97% rename from tests/test_load_and_preprocess_jobs.py rename to tests/preprocess/test_load_and_preprocess_jobs.py index 8724dce..e9b93b7 100644 --- a/tests/test_load_and_preprocess_jobs.py +++ b/tests/preprocess/test_load_and_preprocess_jobs.py @@ -1,7 +1,7 @@ import pytest import pandas from src.utilities import load_and_preprocess_jobs, load_and_preprocess_jobs_custom_query -from .conftest import preprocess_mock_data +from ..conftest import preprocess_mock_data from src.config.enum_constants import OptionalColumnsEnum, RequiredColumnsEnum from datetime import datetime, timedelta @@ -35,7 +35,7 @@ def test_filter_date_back(mock_data_path: str, dates_back: int) -> None: Test with multiple different dates_back for higher test coverage. """ temp = preprocess_mock_data(mock_data_path, min_elapsed_seconds=0) - res = load_and_preprocess_jobs(db_path=mock_data_path, dates_back=dates_back) + res = load_and_preprocess_jobs(db_path=mock_data_path, days_back=dates_back) cutoff = datetime.now() - timedelta(days=dates_back) ground_truth_jobs = temp[(temp["StartTime"] >= cutoff)].copy() expect_job_ids = ground_truth_jobs["JobID"].to_numpy() @@ -50,7 +50,7 @@ def test_filter_min_elapsed(mock_data_path: str) -> None: Test for filtering by days back and minimum elapsed time. """ temp = preprocess_mock_data(mock_data_path, min_elapsed_seconds=13000) - res = load_and_preprocess_jobs(db_path=mock_data_path, min_elapsed_seconds=13000, dates_back=90) + res = load_and_preprocess_jobs(db_path=mock_data_path, min_elapsed_seconds=13000, days_back=90) cutoff = datetime.now() - timedelta(days=90) ground_truth_jobs = temp[(temp["StartTime"] >= cutoff)].copy() expect_job_ids = ground_truth_jobs["JobID"].to_numpy() @@ -73,7 +73,7 @@ def test_filter_date_back_include_all(mock_data_path: str) -> None: ) res = load_and_preprocess_jobs( db_path=mock_data_path, - dates_back=90, + days_back=90, min_elapsed_seconds=0, include_cpu_only_jobs=True, include_failed_cancelled_jobs=True, @@ -101,7 +101,7 @@ def test_missing_required_columns_error_raised(mock_data_path: str, missing_col: col_str = ", ".join(col_names) query = f"SELECT {col_str} FROM Jobs" with pytest.raises( - RuntimeError, match=f"Failed to load jobs DataFrame: 'Column {missing_col} does not exist in dataframe.'" + RuntimeError, match=f"Failed to load jobs DataFrame. 'Column {missing_col} does not exist in dataframe.'" ): _res = load_and_preprocess_jobs_custom_query(db_path=mock_data_path, custom_query=query) diff --git a/tests/preprocess/test_preprocess.py b/tests/preprocess/test_preprocess.py index 18368e8..ece7775 100644 --- a/tests/preprocess/test_preprocess.py +++ b/tests/preprocess/test_preprocess.py @@ -2,7 +2,6 @@ import pytest from pandas.api.typing import NAType - from src.config.enum_constants import ( AdminsAccountEnum, ExitCodeEnum, @@ -14,18 +13,18 @@ RequiredColumnsEnum, OptionalColumnsEnum, ) -from src.preprocess import preprocess_data +from src.preprocess import Preprocess from src.preprocess.preprocess import _get_partition_constraint, _get_requested_vram, _get_vram_constraint from ..conftest import preprocess_mock_data @pytest.mark.parametrize("mock_data_path", [False, True], ids=["false_case", "true_case"], indirect=True) @pytest.mark.parametrize("column", [member.value for member in ExcludedColumnsEnum]) -def test_preprocess_data_filtred_columns(mock_data_frame: pd.DataFrame, column: str) -> None: +def test_preprocess_data_filtered_columns(mock_data_frame: pd.DataFrame, column: str) -> None: """ Test that the preprocessed data does not contain irrelevant columns. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) assert column not in data.columns @@ -34,7 +33,7 @@ def test_preprocess_data_filtered_gpu(mock_data_frame: pd.DataFrame) -> None: """ Test that the preprocessed data does not contain null GPUType and GPUs. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) is_gpu_type_null = data["GPUType"].isna() is_gpu_null = data["GPUs"].isna() assert not any(is_gpu_type_null) @@ -46,7 +45,7 @@ def test_preprocess_data_filtered_status(mock_data_frame: pd.DataFrame) -> None: """ Test that the preprocessed data does not contain FAILED or CANCELLED jobs. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) status_failed = data["Status"] == StatusEnum.FAILED.value status_cancelled = data["Status"] == StatusEnum.CANCELLED.value assert not any(status_failed) @@ -58,7 +57,7 @@ def test_preprocess_data_filtered_min_elapsed_1(mock_data_frame: pd.DataFrame) - """ Test that the preprocessed data does not contain jobs with elapsed time below the threshold (300 seconds). """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=300) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=300) elapsed_below_threshold = data["Elapsed"] < pd.to_timedelta( 300, unit="s" ) # final version of Elapsed column is timedelta so convert for comparison @@ -70,7 +69,7 @@ def test_preprocess_data_filter_min_elapsed_2(mock_data_path: str, mock_data_fra """ Test that the preprocessed data contains only jobs with elapsed time above the threshold (700 seconds). """ - data = preprocess_data( + data = Preprocess().preprocess_data( input_df=mock_data_frame, min_elapsed_seconds=700, include_cpu_only_jobs=True, @@ -92,7 +91,7 @@ def test_preprocess_data_filtered_root_account(mock_data_frame: pd.DataFrame) -> """ Test that the preprocessed data does not contain jobs with root account, partition building, or qos updates. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) partition_building = data["Partition"] == AdminPartitionEnum.BUILDING.value qos_updates = data["QOS"] == QOSEnum.UPDATES.value account_root = data["Account"] == AdminsAccountEnum.ROOT.value @@ -106,7 +105,7 @@ def test_preprocess_data_include_cpu_job(mock_data_path: str, mock_data_frame: p """ Test that the preprocessed data includes CPU-only jobs when specified. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600, include_cpu_only_jobs=True) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600, include_cpu_only_jobs=True) ground_truth = preprocess_mock_data(mock_data_path, include_cpu_only_jobs=True) expected_cpu_type = len(ground_truth[ground_truth["GPUType"].isna()]) expected_gpus_count_0 = len(ground_truth[ground_truth["GPUs"].isna()]) @@ -122,7 +121,9 @@ def test_preprocess_data_include_failed_cancelled_job(mock_data_path: str, mock_ """ Test that the preprocessed data includes FAILED and CANCELLED jobs when specified. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600, include_failed_cancelled_jobs=True) + data = Preprocess().preprocess_data( + input_df=mock_data_frame, min_elapsed_seconds=600, include_failed_cancelled_jobs=True + ) ground_truth = preprocess_mock_data(mock_data_path, min_elapsed_seconds=600, include_failed_cancelled_jobs=True) expect_failed_status = len(ground_truth[(ground_truth["Status"] == StatusEnum.FAILED.value)]) expect_cancelled_status = len(ground_truth[(ground_truth["Status"] == StatusEnum.CANCELLED.value)]) @@ -132,7 +133,9 @@ def test_preprocess_data_include_failed_cancelled_job(mock_data_path: str, mock_ @pytest.mark.parametrize("mock_data_path", [False, True], ids=["false_case", "true_case"], indirect=True) def test_preprocess_data_include_custom_qos_values(mock_data_path: str, mock_data_frame: pd.DataFrame) -> None: - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600, include_custom_qos_jobs=True) + data = Preprocess().preprocess_data( + input_df=mock_data_frame, min_elapsed_seconds=600, include_custom_qos_jobs=True + ) ground_truth = preprocess_mock_data(mock_data_path, min_elapsed_seconds=600, include_custom_qos_jobs=True) filtered_ground_truth = ground_truth[ (ground_truth["Status"] != "CANCELLED") & (ground_truth["Status"] != "FAILED") @@ -150,7 +153,7 @@ def test_all_boolean_args_being_true(mock_data_path: str, mock_data_frame: pd.Da """ Test that the preprocessed data includes all jobs when both CPU-only and FAILED/CANCELLED jobs are specified. """ - data = preprocess_data( + data = Preprocess().preprocess_data( input_df=mock_data_frame, min_elapsed_seconds=600, include_failed_cancelled_jobs=True, @@ -185,7 +188,7 @@ def test_preprocess_data_fill_missing_interactive(mock_data_path: str, mock_data """ Test that the preprocessed data fills missing interactive job types with 'non-interactive' correctly. """ - data = preprocess_data( + data = Preprocess().preprocess_data( input_df=mock_data_frame, min_elapsed_seconds=100, include_cpu_only_jobs=True, @@ -208,7 +211,7 @@ def test_preprocess_data_fill_missing_array_id(mock_data_path: str, mock_data_fr """ Test that the preprocessed data fills missing ArrayID with -1 correctly. """ - data = preprocess_data( + data = Preprocess().preprocess_data( input_df=mock_data_frame, min_elapsed_seconds=100, include_cpu_only_jobs=True, @@ -229,7 +232,7 @@ def test_preprocess_data_fill_missing_gpu_type(mock_data_path: str, mock_data_fr """ Test that the preprocessed data fills missing GPUType with pd.NA correctly. """ - data = preprocess_data( + data = Preprocess().preprocess_data( input_df=mock_data_frame, min_elapsed_seconds=100, include_cpu_only_jobs=True, @@ -256,7 +259,7 @@ def test_preprocess_data_fill_missing_constraints(mock_data_path: str, mock_data """ Test that the preprocessed data fills missing Constraints with empty numpy array correctly. """ - data = preprocess_data( + data = Preprocess().preprocess_data( input_df=mock_data_frame, min_elapsed_seconds=100, include_cpu_only_jobs=True, @@ -279,7 +282,7 @@ def test_category_interactive(mock_data_path: str, mock_data_frame: pd.DataFrame Test that the preprocessed data has 'Interactive' as a categorical variable and check values contained within it. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) ground_truth = preprocess_mock_data(mock_data_path, min_elapsed_seconds=600) expected = set(ground_truth["Interactive"].dropna().to_numpy()) | set([e.value for e in InteractiveEnum]) @@ -292,7 +295,7 @@ def test_category_qos(mock_data_path: str, mock_data_frame: pd.DataFrame) -> Non """ Test that the preprocessed data has 'QOS' as a categorical variable and check values contained within it. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) ground_truth = preprocess_mock_data(mock_data_path, min_elapsed_seconds=600) expected = set(ground_truth["QOS"].dropna().to_numpy()) | set([e.value for e in QOSEnum]) @@ -305,7 +308,7 @@ def test_category_exit_code(mock_data_path: str, mock_data_frame: pd.DataFrame) """ Test that the preprocessed data has 'ExitCode' as a categorical variable and check values contained within it. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) ground_truth = preprocess_mock_data(mock_data_path, min_elapsed_seconds=600) expected = set(ground_truth["ExitCode"].dropna().to_numpy()) | set([e.value for e in ExitCodeEnum]) @@ -319,7 +322,7 @@ def test_category_partition(mock_data_path: str, mock_data_frame: pd.DataFrame) """ Test that the preprocessed data has 'Partition' as a categorical variable and check values contained within it. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) ground_truth = preprocess_mock_data(mock_data_path, min_elapsed_seconds=600) expected = set(ground_truth["Partition"].dropna().to_numpy()) | set([e.value for e in AdminPartitionEnum]) @@ -333,7 +336,7 @@ def test_category_account(mock_data_path: str, mock_data_frame: pd.DataFrame) -> """ Test that the preprocessed data has 'Account' as a categorical variable and check values contained within it. """ - data = preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) + data = Preprocess().preprocess_data(input_df=mock_data_frame, min_elapsed_seconds=600) ground_truth = preprocess_mock_data(mock_data_path, min_elapsed_seconds=600) expected = set(ground_truth["Account"].dropna().to_numpy()) | set([e.value for e in AdminsAccountEnum]) @@ -347,7 +350,7 @@ def test_preprocess_timedelta_conversion(mock_data_path: str, mock_data_frame: p """ Test that the preprocessed data converts elapsed time to timedelta. """ - data = preprocess_data( + data = Preprocess().preprocess_data( input_df=mock_data_frame, min_elapsed_seconds=600, include_cpu_only_jobs=True, @@ -370,7 +373,7 @@ def test_preprocess_gpu_type(mock_data_frame: pd.DataFrame) -> None: """ Test that the GPUType column is correctly filled and transformed during preprocessing. """ - data = preprocess_data( + data = Preprocess().preprocess_data( input_df=mock_data_frame, include_cpu_only_jobs=True, ) @@ -419,7 +422,7 @@ def test_partition_constraint_and_requested_vram_on_mock_data(mock_data_frame: p Test that the partition_constraint and requested_vram columns are correctly computed in the preprocessed data. """ # Run preprocess_data on the mock data - processed = preprocess_data( + processed = Preprocess().preprocess_data( mock_data_frame, min_elapsed_seconds=0, include_cpu_only_jobs=True, include_failed_cancelled_jobs=True ) @@ -456,7 +459,7 @@ def test_preprocess_missing_required_columns(mock_data_frame: pd.DataFrame, miss """ cur_df = mock_data_frame.drop(missing_col, axis=1, inplace=False) with pytest.raises(KeyError, match=f"Column {missing_col} does not exist in dataframe."): - _res = preprocess_data(cur_df) + _res = Preprocess().preprocess_data(cur_df) @pytest.mark.parametrize("mock_data_path", [False, True], ids=["false_case", "true_case"], indirect=True) @@ -475,7 +478,7 @@ def test_preprocess_missing_optional_columns( f"Column '{missing_col}' is missing from the dataframe. " "This may impact filtering operations and downstream processing." ) - _res = preprocess_data(cur_df) + _res = Preprocess().preprocess_data(cur_df) # Check that a warning was raised with the expected message assert len(recwarn) == 1 @@ -494,7 +497,7 @@ def test_preprocess_empty_dataframe_warning(mock_data_frame: pd.DataFrame, recwa empty_df = mock_data_frame.copy() empty_df = empty_df.iloc[0:0] # Should trigger the warning since the dataframe is empty - result = preprocess_data(empty_df) + result = Preprocess().preprocess_data(empty_df) # Check that the result is still empty assert result.empty