From 49823a2483fe171178f14e90abcc30e834cf2ac0 Mon Sep 17 00:00:00 2001 From: Henry Zou Date: Thu, 9 Apr 2026 21:11:46 -0400 Subject: [PATCH 01/30] Revise transpilation-optimizations-with-sabre tutorial Restructure the tutorial to match the standard template format with learning outcomes, prerequisites, and the four-step Qiskit patterns workflow. Key changes: - Remove qiskit_serverless content (runtime performance issues, will revisit separately) - Add small-scale simulator section using qiskit_aer with noise model from real backend, running 10 trials with error bars for statistical reliability - Add large-scale hardware section comparing basic, decay, and lookahead SABRE heuristics across multiple seeds - Improve plots with percentage annotations, value labels, and side-by-side fidelity bar charts - Use consistent "2Q depth" labeling throughout - Add analysis commentary connecting transpilation quality to execution fidelity - Update requirements to Qiskit SDK v2.0+ and add qiskit-aer - Add next steps with links to custom transpiler pass, transpiler plugins, and DAG representation guides - Ran tox -e fix --- ...anspilation-optimizations-with-sabre.ipynb | 1636 +++++++---------- ...280b0b9-6320-43e5-8396-f82f9e718319-0.avif | Bin 0 -> 26319 bytes ...cf9588b-8ea6-4761-b544-14bef8f0be85-0.avif | Bin 12141 -> 0 bytes ...cf9588b-8ea6-4761-b544-14bef8f0be85-1.avif | Bin 11841 -> 0 bytes ...18a8997-d2c7-4661-a6ea-f58eac376bf8-0.avif | Bin 7951 -> 0 bytes ...6dac5ed-a963-458a-ada1-89c915f036e0-0.avif | Bin 0 -> 16693 bytes ...c6cb36f-4bf2-4275-baf5-9557fcba520a-0.avif | Bin 17658 -> 0 bytes ...f75c45a-2c3e-4ef6-8336-0b3f69e6e8fb-0.avif | Bin 0 -> 15983 bytes ...ead9bd2-17e0-4f5b-80bc-eb9b30af052e-0.avif | Bin 0 -> 15367 bytes 9 files changed, 630 insertions(+), 1006 deletions(-) create mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/0280b0b9-6320-43e5-8396-f82f9e718319-0.avif delete mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/4cf9588b-8ea6-4761-b544-14bef8f0be85-0.avif delete mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/4cf9588b-8ea6-4761-b544-14bef8f0be85-1.avif delete mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/818a8997-d2c7-4661-a6ea-f58eac376bf8-0.avif create mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/a6dac5ed-a963-458a-ada1-89c915f036e0-0.avif delete mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/bc6cb36f-4bf2-4275-baf5-9557fcba520a-0.avif create mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/bf75c45a-2c3e-4ef6-8336-0b3f69e6e8fb-0.avif create mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/eead9bd2-17e0-4f5b-80bc-eb9b30af052e-0.avif diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 8dcc3c665cd..97ed5ed9d0b 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -2,63 +2,63 @@ "cells": [ { "cell_type": "markdown", - "id": "316f2558-4976-4bc2-b346-a66256f622a6", + "id": "1ed79d34-1831-47cb-9985-5bb7dacc70e0", "metadata": {}, "source": [ "---\n", "title: Transpilation optimizations with SABRE\n", - "description: SABRE is an optimization tool for layout and routing. It is especially effective with large-scale circuits and complex coupling maps,\n", + "description: Optimize quantum circuits using SABRE layout and routing for large-scale hardware execution.\n", "---\n", "\n", "\n", "{/* cspell:ignore ylabel xlabel fontsize sharex edgecolor */}\n", "\n", "# Transpilation Optimizations with SABRE\n", - "*Usage estimate: under one minute on a Heron r2 processor (NOTE: This is an estimate only. Your runtime might vary.)*" + "*Usage estimate: 1 minute on a Heron r2 processor. (NOTE: This is an estimate only. Your runtime may vary.)*" ] }, { "cell_type": "markdown", - "id": "e10fe088-c914-4c6b-be7a-d83dc6166245", + "id": "d6834016-1525-42d7-aa21-0fef9d957ecd", "metadata": {}, "source": [ - "## Background\n", - "Transpilation is a critical step in Qiskit that converts quantum circuits into forms compatible with specific quantum hardware. It involves two key stages: **qubit layout** (mapping logical qubits to physical qubits on the device) and **gate routing** (ensuring multi-qubit gates respect device connectivity by inserting SWAP gates as needed).\n", - "\n", - "SABRE (*SWAP-Based Bidirectional heuristic search algorithm*) is a powerful optimization tool for both layout and routing. It is especially effective for **large-scale circuits** (100+ qubits) and devices with complex coupling maps, like the **IBM® Heron**, where the exponential growth in possible qubit mappings demands efficient solutions.\n", + "## Learning outcomes\n", + "After going through this tutorial, you should understand:\n", + "- How to configure SABRE parameters (`layout_trials`, `swap_trials`, `max_iterations`) to improve transpilation quality\n", + "- The trade-offs between transpilation runtime and circuit quality (depth and gate count)\n", + "- How to customize the SABRE routing heuristic (`basic`, `decay`, `lookahead`) and compare their performance on hardware\n", "\n", - "### Why use SABRE?\n", + "## Prerequisites\n", + "We suggest that you are familiar with the following topics before going through this tutorial:\n", + "- [Transpile circuits](/docs/guides/transpile): overview of transpilation in Qiskit\n", + "- [Transpiler stages](/docs/guides/transpiler-stages): layout and routing stages\n", + "- [Configure preset pass managers](/docs/guides/configure-preset-pass-managers): customizing optimization levels\n", "\n", - "SABRE minimizes the number of SWAP gates and reduces circuit depth, improving circuit performance on real hardware. Its heuristic-based approach makes it ideal for advanced hardware and large, complex circuits. Recent improvements introduced in the [LightSABRE](https://arxiv.org/abs/2409.08368) algorithm further optimize SABRE’s performance, offering faster runtimes and fewer SWAP gates. These enhancements make it even more effective for large-scale circuits.\n", + "## Background\n", "\n", - "### What you’ll learn\n", + "Transpilation converts quantum circuits into forms compatible with specific quantum hardware. Two key stages are **qubit layout** (mapping logical qubits to physical qubits) and **gate routing** (inserting SWAP gates so multi-qubit gates respect device connectivity).\n", "\n", - "This tutorial is divided into two parts:\n", - "1. Learn to use SABRE with **Qiskit patterns** for advanced optimization of large circuits.\n", - "2. Leverage **qiskit_serverless** to maximize SABRE’s potential for scalable and efficient transpilation.\n", + "**SABRE** (*SWAP-Based Bidirectional heuristic search algorithm*) optimizes both layout and routing. It is especially effective for large-scale circuits (100+ qubits) on devices with complex coupling maps, like IBM® Heron processors. SABRE minimizes SWAP gates and reduces circuit depth, improving execution fidelity. Recent improvements in the [LightSABRE](https://arxiv.org/abs/2409.08368) algorithm further reduce runtimes and gate counts.\n", "\n", - "You will:\n", - "- Optimize SABRE for circuits with 100+ qubits, surpassing default transpilation settings like `optimization_level=3`.\n", - "- Explore **LightSABRE enhancements** that improve runtime and reduce gate counts.\n", - "- Customize key SABRE parameters (`swap_trials`, `layout_trials`, `max_iterations`, `heuristic`) to balance **circuit quality** and **transpilation runtime**." + "In this tutorial, you will first configure `SabreLayout` with different parameters to optimize a small GHZ circuit and observe the impact on execution fidelity. Then, you will compare SABRE's routing heuristics at scale on real hardware." ] }, { "cell_type": "markdown", - "id": "b6099f09-341e-4895-9d38-48538836e155", + "id": "50cf9d9f-c875-49d5-83b0-c691363615ab", "metadata": {}, "source": [ "## Requirements\n", "\n", "Before starting this tutorial, be sure you have the following installed:\n", - "- Qiskit SDK v1.0 or later, with [visualization](/docs/api/qiskit/visualization) support\n", - "- Qiskit Runtime v0.28 or later (`pip install qiskit-ibm-runtime`)\n", - "- Serverless (`pip install qiskit-ibm-catalog qiskit_serverless`)" + "- Qiskit SDK v2.0 or later, with [visualization](/docs/api/qiskit/visualization) support\n", + "- Qiskit Runtime v0.22 or later (`pip install qiskit-ibm-runtime`)\n", + "- Qiskit Aer (`pip install qiskit-aer`)" ] }, { "cell_type": "markdown", - "id": "131313f1-cad4-4b80-b60d-981ece02295a", + "id": "6d9ad2c3-1b10-4a22-8b75-608869be0ac7", "metadata": {}, "source": [ "## Setup" @@ -66,221 +66,139 @@ }, { "cell_type": "code", - "execution_count": 1, - "id": "208d379b-10ee-4d7c-9062-35b15fd18d94", + "execution_count": null, + "id": "6d93c123-b92e-434d-8361-8115509e6d5f", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using backend: ibm_pittsburgh\n" + ] + } + ], "source": [ "from qiskit import QuantumCircuit\n", "from qiskit.quantum_info import SparsePauliOp\n", - "from qiskit_ibm_catalog import QiskitServerless, QiskitFunction\n", "from qiskit_ibm_runtime import QiskitRuntimeService\n", "from qiskit_ibm_runtime import EstimatorOptions\n", "from qiskit_ibm_runtime import EstimatorV2 as Estimator\n", + "from qiskit_aer.primitives import EstimatorV2 as AerEstimator\n", "from qiskit.transpiler import CouplingMap\n", "from qiskit.transpiler.passes import SabreLayout, SabreSwap\n", "from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", - "import time" + "import time\n", + "\n", + "seed = 42\n", + "\n", + "service = QiskitRuntimeService(\n", + " channel=\"ibm_cloud\",\n", + " token=\"\", # Replace with your actual API token\n", + " instance=\"\", # Replace with your instance name if needed\n", + ")\n", + "backend = service.least_busy(operational=True, simulator=False)\n", + "\n", + "\n", + "print(f\"Using backend: {backend.name}\")" ] }, { "cell_type": "markdown", - "id": "c2ac52a8-697e-49bb-9780-fa30213c44fe", + "id": "c34842c6-5e1b-4658-8e91-15149280c783", "metadata": {}, "source": [ - "## Part I. Using SABRE with Qiskit patterns\n", - "\n", - "SABRE can be used in Qiskit to optimize quantum circuits by handling both the qubit layout and gate routing stages. In this section, we’ll guide you through the **minimal example** of using SABRE with Qiskit patterns, with the primary focus on step 2 of optimization.\n", - "\n", - "To run SABRE, you need:\n", - "- A **DAG** (Directed Acyclic Graph) representation of your quantum circuit.\n", - "- The **coupling map** from the backend, which specifies how qubits are physically connected.\n", - "- The **SABRE pass**, which applies the algorithm to optimize the layout and routing.\n", + "## Small-scale simulator example\n", "\n", - "For this part, we’ll focus on the **SabreLayout** pass. It performs both layout and routing trials, working to find the most efficient initial layout while minimizing the number of SWAP gates needed. Importantly, `SabreLayout`, just by itself, internally optimizes both the layout and routing by storing the solution that adds the least number of SWAP gates. Note that when using just **SabreLayout**, we cannot change the heuristic of SABRE, but we are able to customize the number of `layout_trials`." + "In this section, we use a **noisy simulator** based on the real backend's noise model to demonstrate how different `SabreLayout` configurations affect both transpilation quality and execution fidelity. Using `qiskit_aer` with a noise model derived from actual hardware calibration data lets us iterate quickly without consuming hardware credits." ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "888f597b-cce4-48df-b75c-773170260f24", + "id": "a2bcc2b2-727b-447f-b680-a23e3b9e0c3c", "metadata": {}, "source": [ "### Step 1: Map classical inputs to a quantum problem\n", "\n", - "A **GHZ (Greenberger-Horne-Zeilinger)** circuit is a quantum circuit that prepares an entangled state where all qubits are either in the `|0...0⟩` or `|1...1⟩` state. The GHZ state for $n$ qubits is mathematically represented as:\n", - "$$ |\\text{GHZ}\\rangle = \\frac{1}{\\sqrt{2}} \\left( |0\\rangle^{\\otimes n} + |1\\rangle^{\\otimes n} \\right) $$\n", + "We construct a **star-topology GHZ circuit** with 15 qubits. The first qubit is the hub, with CNOT gates connecting it directly to every other qubit. This topology creates a challenging layout problem because it does not map trivially to the device's coupling map.\n", "\n", - "It is constructed by applying:\n", - "1. A Hadamard gate to the first qubit to create superposition.\n", - "2. A series of CNOT gates to entangle the remaining qubits with the first.\n", + "We also define `ZZ` operators to measure entanglement correlations $\\langle Z_0 Z_i \\rangle$ across qubit pairs.\n", "\n", - "For this example, we intentionally construct a **star-topology GHZ circuit** instead of a linear-topology one. In the star topology, the first qubit acts as the \"hub,\" and all other qubits are entangled directly with it using CNOT gates. This choice is deliberate because, while the **linear topology GHZ state** can theoretically be implemented in $ O(N) $ depth on a linear coupling map without any SWAP gates, SABRE would trivially find an optimal solution by mapping a 100-qubit GHZ circuit to a subgraph of the backend's heavy-hex coupling map.\n", - "\n", - "The **star topology GHZ circuit** poses a significantly more challenging problem. Although it can still theoretically be executed in $ O(N) $ depth without SWAP gates, finding this solution requires identifying an optimal initial layout, which is much harder due to the non-linear connectivity of the circuit. This topology serves as a better test case for evaluating SABRE, as it demonstrates how configuration parameters impact layout and routing performance under more complex conditions.\n", - "\n", - "![ghz_star_topology.png](/docs/images/tutorials/transpilation-optimizations-with-sabre/ghz_star_topology.avif)\n", - "\n", - "Notably:\n", - "- The **HighLevelSynthesis** tool can produce the optimal $ O(N) $ depth solution for the star topology GHZ circuit without introducing SWAP gates, like shown in the image above.\n", - "- Alternatively, the **StarPrerouting** pass can reduce the depth further by guiding SABRE's routing decisions, though it may still introduce some SWAP gates. However, StarPrerouting increases runtime and requires integration into the initial transpilation process.\n", - "\n", - "For the purposes of this tutorial, we exclude both HighLevelSynthesis and StarPrerouting to isolate and highlight the direct impact of SABRE configuration on runtime and circuit depth. By measuring the expectation value $ \\langle Z_0 Z_i \\rangle $ for each qubit pair, we analyze:\n", - "- How well SABRE reduces SWAP gates and circuit depth.\n", - "- The effect of these optimizations on the fidelity of the executed circuit, where deviations from $ \\langle Z_0 Z_i \\rangle = 1 $ indicate loss of entanglement.!" + "![ghz_star_topology.png](/docs/images/tutorials/transpilation-optimizations-with-sabre/ghz_star_topology.avif)" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "1d77f7e1-8815-4aec-ab54-93efd735ae38", + "execution_count": 13, + "id": "08a8c4df-b1a5-45b7-9808-ca4e5d7631d8", "metadata": {}, "outputs": [], "source": [ - "# set seed for reproducibility\n", - "seed = 42\n", - "num_qubits = 110\n", + "num_qubits_sim = 15\n", "\n", - "# Create GHZ circuit\n", - "qc = QuantumCircuit(num_qubits)\n", - "qc.h(0)\n", - "for i in range(1, num_qubits):\n", - " qc.cx(0, i)\n", + "# Create star-topology GHZ circuit\n", + "qc_sim = QuantumCircuit(num_qubits_sim)\n", + "qc_sim.h(0)\n", + "for i in range(1, num_qubits_sim):\n", + " qc_sim.cx(0, i)\n", + "qc_sim.measure_all()\n", "\n", - "qc.measure_all()" - ] - }, - { - "cell_type": "markdown", - "id": "24018506-2ab5-4ff3-94b8-f173fb8b2673", - "metadata": {}, - "source": [ - "Next, we will map the operators of interest to evaluate the behavior of the system. Specifically, we will use `ZZ` operators between qubits to examine how the entanglement degrades as the qubits become farther apart. This analysis is critical because inaccuracies in the expectation values $\\langle Z_0 Z_i \\rangle$ for distant qubits can reveal the impact of noise and errors in the circuit execution. By studying these deviations, we gain insight into how well the circuit preserves entanglement under different SABRE configurations and how effectively SABRE minimizes the impact of hardware constraints." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9df28ec1-e572-47d7-bb84-457394129659", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['ZZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 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'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZIII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZII', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZI', 'ZIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIZ']\n", - "109\n" - ] - } - ], - "source": [ - "# ZZII...II, ZIZI...II, ... , ZIII...IZ\n", - "operator_strings = [\n", - " \"Z\" + \"I\" * i + \"Z\" + \"I\" * (num_qubits - 2 - i)\n", - " for i in range(num_qubits - 1)\n", + "# ZZ operators: Z on qubit 0 and qubit i, identity elsewhere\n", + "operator_strings_sim = [\n", + " \"Z\" + \"I\" * i + \"Z\" + \"I\" * (num_qubits_sim - 2 - i)\n", + " for i in range(num_qubits_sim - 1)\n", "]\n", - "print(operator_strings)\n", - "print(len(operator_strings))\n", - "\n", - "operators = [SparsePauliOp(operator) for operator in operator_strings]" + "operators_sim = [SparsePauliOp(op) for op in operator_strings_sim]" ] }, { "cell_type": "markdown", - "id": "15400bae-af90-40d8-87c1-1637b8f226e2", + "id": "25ac8d92-6362-4d4e-a133-2914703df658", "metadata": {}, "source": [ "### Step 2: Optimize problem for quantum hardware execution\n", "\n", - "In this step, we focus on optimizing the circuit layout for execution on a specific quantum hardware device with 127 qubits. This is the main focus of the tutorial, as we perform **SABRE optimizations and transpilation** to achieve the best circuit performance. Using the `SabreLayout` pass, we determine an initial qubit mapping that minimizes the need for SWAP gates during routing. By passing the `coupling_map` of the target backend, `SabreLayout` adapts the layout to the device's connectivity constraints.\n", + "We create three pass managers with `optimization_level=3`, each with different `SabreLayout` configurations:\n", "\n", - "We will use `generate_preset_pass_manager` with `optimization_level=3` for the transpilation process and customize the `SabreLayout` pass with different configurations. The goal is to find a setup that produces a transpiled circuit with the **lowest size and/or depth**, demonstrating the impact of SABRE optimizations.\n", + "| Config | `max_iterations` | `layout_trials` | `swap_trials` |\n", + "|--------|----------------:|----------------:|--------------:|\n", + "| `pm_1` (default) | 4 | 20 | 20 |\n", + "| `pm_2` | 4 | 200 | 200 |\n", + "| `pm_3` | 8 | 200 | 200 |\n", "\n", - "#### Why Are Circuit Size and Depth Important?\n", + "**Key parameters:**\n", + "- **`layout_trials` / `swap_trials`**: Control how many candidate layouts and routing solutions SABRE explores. More trials means SABRE samples a wider search space, increasing the chance of finding a better solution.\n", + "- **`max_iterations`**: Controls how many forward-backward routing refinement cycles SABRE performs on each candidate. More iterations let SABRE iteratively improve the layout by learning from routing feedback.\n", "\n", - "- **Lower size (gate count):** Reduces the number of operations, minimizing opportunities for errors to accumulate.\n", - "- **Lower depth:** Shortens the overall execution time, which is critical for avoiding decoherence and maintaining quantum state fidelity.\n", - "\n", - "By optimizing these metrics, we improve the circuit’s reliability and execution accuracy on noisy quantum hardware." - ] - }, - { - "cell_type": "markdown", - "id": "21bb1821-ebcd-43f2-b48b-a93db99d872b", - "metadata": {}, - "source": [ - "Select the backend." + "Both come at the cost of longer transpilation time, but the resulting circuits are shorter and use fewer gates, which directly reduces decoherence and gate errors on real hardware." ] }, { "cell_type": "code", - "execution_count": 4, - "id": "6bb232e5-cb6c-45b3-9bfa-ec027046bfab", + "execution_count": 14, + "id": "fd52f8dd-862b-46e2-b93d-0b35f47a3d83", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Using backend: ibm_boston\n" + "pm_1 (4,20,20): 2Q Depth 38, Size 183, Time 0.01s\n", + "pm_2 (4,200,200): 2Q Depth 36, Size 183, Time 0.12s\n", + "pm_3 (8,200,200): 2Q Depth 30, Size 158, Time 0.12s\n", + "\n", + "Improvement vs. default (pm_1):\n", + " pm_2 (4,200,200): 2Q depth +5.3%, size +0.0%\n", + " pm_3 (8,200,200): 2Q depth +21.1%, size +13.7%\n" ] } ], "source": [ - "service = QiskitRuntimeService()\n", - "# backend = service.least_busy(\n", - "# operational=True, simulator=False, min_num_qubits=127\n", - "# )\n", - "backend = service.backend(\"ibm_boston\")\n", - "print(f\"Using backend: {backend.name}\")" - ] - }, - { - "cell_type": "markdown", - "id": "e17c1fd9-7d62-4c33-b5ff-c9d4e0596651", - "metadata": {}, - "source": [ - "To evaluate the impact of different configurations on circuit optimization, we will create three pass managers, each with unique settings for the `SabreLayout` pass. These configurations help analyze the trade-off between circuit quality and transpilation time.\n", - "\n", - "#### Key parameters\n", - "- **`max_iterations`**: The number of forward-backward routing iterations to refine the layout and reduce routing costs.\n", - "- **`layout_trials`**: The number of random initial layouts tested, selecting the one that minimizes SWAP gates.\n", - "- **`swap_trials`**: The number of routing trials for each layout, refining gate placement for better routing.\n", - "\n", - "Increase `layout_trials` and `swap_trials` to perform more thorough optimization, at the cost of increased transpilation time.\n", - "\n", - "#### Configurations in this tutorial\n", - "1. **`pm_1`**: Default settings with `optimization_level=3`.\n", - " - `max_iterations=4`\n", - " - `layout_trials=20`\n", - " - `swap_trials=20`\n", - "\n", - "2. **`pm_2`**: Increases the number of trials for better exploration.\n", - " - `max_iterations=4`\n", - " - `layout_trials=200`\n", - " - `swap_trials=200`\n", - "\n", - "3. **`pm_3`**: Extends `pm_2` by increasing the number of iterations for further refinement.\n", - " - `max_iterations=8`\n", - " - `layout_trials=200`\n", - " - `swap_trials=200`\n", - "\n", - "By comparing the results of these configurations, we aim to determine which achieves the best balance between circuit quality (for example, size and depth) and computational cost." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "2c1535af-a7ea-4439-b7f4-fd0aa9285930", - "metadata": {}, - "outputs": [], - "source": [ - "# Get the coupling map from the backend\n", "cmap = CouplingMap(backend().configuration().coupling_map)\n", "\n", - "# Create the SabreLayout passes for the custom configurations\n", + "# Custom SabreLayout passes\n", "sl_2 = SabreLayout(\n", " coupling_map=cmap,\n", " seed=seed,\n", @@ -296,7 +214,7 @@ " swap_trials=200,\n", ")\n", "\n", - "# Create the pass managers, need to first create then configure the SabreLayout passes\n", + "# Create pass managers and customize SabreLayout (index 2 in the layout stage)\n", "pm_1 = generate_preset_pass_manager(\n", " optimization_level=3, backend=backend, seed_transpiler=seed\n", ")\n", @@ -305,128 +223,63 @@ ")\n", "pm_3 = generate_preset_pass_manager(\n", " optimization_level=3, backend=backend, seed_transpiler=seed\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "d899d9fd-b72d-4930-b337-e67c98307b76", - "metadata": {}, - "source": [ - "Now we can configure the `SabreLayout` pass in the custom pass managers. To do this we know that for the default `generate_preset_pass_manager` on `optimization_level=3`, the `SabreLayout` pass is at index 2, as `SabreLayout` occurs after `SetLayout` and `VF2Laout` passes. We can access this pass and modify its parameters." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "98d7901c-bc20-434b-881d-ac0e841907f8", - "metadata": {}, - "outputs": [], - "source": [ - "pm_2.layout.replace(index=2, passes=sl_2)\n", - "pm_3.layout.replace(index=2, passes=sl_3)" - ] - }, - { - "cell_type": "markdown", - "id": "26e8bcee-a8ef-4603-a5ec-92ca7cea6799", - "metadata": {}, - "source": [ - "With each pass manager configured, we will now execute the transpilation process for each. To compare results, we will track key metrics, including the transpilation time, the depth of the circuit (measured as the two-qubit gate depth), and the total number of gates in the transpiled circuits" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "06dda879-4eb8-4e78-a433-5aaefcd780b0", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pass manager 1 (4,20,20) : Depth 439, Size 2346, Time 0.5775 s\n", - "Pass manager 2 (4,200,200): Depth 395, Size 2070, Time 3.9927 s\n", - " - Depth improvement: 10.02%\n", - " - Size improvement: 11.76%\n", - " - Time increase: 591.43%\n", - "Pass manager 3 (8,200,200): Depth 375, Size 1873, Time 2.3079 s\n", - " - Depth improvement: 14.58%\n", - " - Size improvement: 20.16%\n", - " - Time increase: 299.67%\n" - ] - } - ], - "source": [ - "# Transpile the circuit with each pass manager and measure the time\n", - "t0 = time.time()\n", - "tqc_1 = pm_1.run(qc)\n", - "t1 = time.time() - t0\n", - "t0 = time.time()\n", - "tqc_2 = pm_2.run(qc)\n", - "t2 = time.time() - t0\n", - "t0 = time.time()\n", - "tqc_3 = pm_3.run(qc)\n", - "t3 = time.time() - t0\n", - "\n", - "# Obtain the depths and the total number of gates (circuit size)\n", - "depth_1 = tqc_1.depth(lambda x: x.operation.num_qubits == 2)\n", - "depth_2 = tqc_2.depth(lambda x: x.operation.num_qubits == 2)\n", - "depth_3 = tqc_3.depth(lambda x: x.operation.num_qubits == 2)\n", - "size_1 = tqc_1.size()\n", - "size_2 = tqc_2.size()\n", - "size_3 = tqc_3.size()\n", - "\n", - "# Transform the observables to match the backend's ISA\n", - "operators_list_1 = [op.apply_layout(tqc_1.layout) for op in operators]\n", - "operators_list_2 = [op.apply_layout(tqc_2.layout) for op in operators]\n", - "operators_list_3 = [op.apply_layout(tqc_3.layout) for op in operators]\n", - "\n", - "# Compute improvements compared to pass manager 1 (default)\n", - "depth_improvement_2 = ((depth_1 - depth_2) / depth_1) * 100\n", - "depth_improvement_3 = ((depth_1 - depth_3) / depth_1) * 100\n", - "size_improvement_2 = ((size_1 - size_2) / size_1) * 100\n", - "size_improvement_3 = ((size_1 - size_3) / size_1) * 100\n", - "time_increase_2 = ((t2 - t1) / t1) * 100\n", - "time_increase_3 = ((t3 - t1) / t1) * 100\n", - "\n", - "print(\n", - " f\"Pass manager 1 (4,20,20) : Depth {depth_1}, Size {size_1}, Time {t1:.4f} s\"\n", - ")\n", - "print(\n", - " f\"Pass manager 2 (4,200,200): Depth {depth_2}, Size {size_2}, Time {t2:.4f} s\"\n", - ")\n", - "print(f\" - Depth improvement: {depth_improvement_2:.2f}%\")\n", - "print(f\" - Size improvement: {size_improvement_2:.2f}%\")\n", - "print(f\" - Time increase: {time_increase_2:.2f}%\")\n", - "print(\n", - " f\"Pass manager 3 (8,200,200): Depth {depth_3}, Size {size_3}, Time {t3:.4f} s\"\n", ")\n", - "print(f\" - Depth improvement: {depth_improvement_3:.2f}%\")\n", - "print(f\" - Size improvement: {size_improvement_3:.2f}%\")\n", - "print(f\" - Time increase: {time_increase_3:.2f}%\")" + "\n", + "pm_2.layout.replace(index=2, passes=sl_2)\n", + "pm_3.layout.replace(index=2, passes=sl_3)\n", + "\n", + "# Transpile and collect metrics\n", + "results_sim = {}\n", + "for name, pm in [\n", + " (\"pm_1 (4,20,20)\", pm_1),\n", + " (\"pm_2 (4,200,200)\", pm_2),\n", + " (\"pm_3 (8,200,200)\", pm_3),\n", + "]:\n", + " t0 = time.time()\n", + " tqc = pm.run(qc_sim)\n", + " elapsed = time.time() - t0\n", + " depth = tqc.depth(lambda x: x.operation.num_qubits == 2)\n", + " size = tqc.size()\n", + " ops_mapped = [op.apply_layout(tqc.layout) for op in operators_sim]\n", + " results_sim[name] = {\n", + " \"tqc\": tqc,\n", + " \"ops\": ops_mapped,\n", + " \"depth\": depth,\n", + " \"size\": size,\n", + " \"time\": elapsed,\n", + " }\n", + " print(f\"{name}: 2Q Depth {depth}, Size {size}, Time {elapsed:.2f}s\")\n", + "\n", + "# Print improvement relative to default (pm_1)\n", + "baseline = results_sim[\"pm_1 (4,20,20)\"]\n", + "print(\"\\nImprovement vs. default (pm_1):\")\n", + "for name in [\"pm_2 (4,200,200)\", \"pm_3 (8,200,200)\"]:\n", + " r = results_sim[name]\n", + " depth_pct = (baseline[\"depth\"] - r[\"depth\"]) / baseline[\"depth\"] * 100\n", + " size_pct = (baseline[\"size\"] - r[\"size\"]) / baseline[\"size\"] * 100\n", + " print(f\" {name}: 2Q depth {depth_pct:+.1f}%, size {size_pct:+.1f}%\")" ] }, { "cell_type": "markdown", - "id": "f187b5db-24a0-4080-a6bb-f949f72354ba", + "id": "0c27cbdb-c065-4a36-a0ef-6c9572c7a4a5", "metadata": {}, "source": [ - "The results demonstrate that increasing the number of trials (`layout_trials` and `swap_trials`) can significantly improve circuit quality by reducing both depth and size. However, this improvement often comes at the cost of increased runtime due to the additional computation required to explore more potential layouts and routing paths.\n", + "The more optimized pass managers produced circuits with lower 2Q depth and fewer gates. While this improvement is not guaranteed on every run, it is the general trend: exploring more candidates and refining them with additional iterations gives SABRE a better chance of finding a high-quality layout.\n", "\n", - "Increasing the `max_iterations` can further enhance optimization by refining the layout through more forward-backward routing cycles. In this case, increasing `max_iterations` resulted in the most significant reduction in circuit depth and size, even reducing runtime compared to `pm_2`, likely by streamlining subsequent optimization stages. It’s important to note, however, that the effectiveness of increasing `max_iterations` can vary significantly depending on the circuit. While more iterations may yield better layout and routing choices, they provide no guarantees and depend heavily on the circuit’s structure and the complexity of the connectivity constraints" + "Note that this is a small circuit (15 qubits), so the room for improvement is limited. With larger circuits (100+ qubits), the search space grows dramatically and the benefits of increased trials and iterations become much more pronounced." ] }, { "cell_type": "code", - "execution_count": 8, - "id": "818a8997-d2c7-4661-a6ea-f58eac376bf8", + "execution_count": 15, + "id": "bf75c45a-2c3e-4ef6-8336-0b3f69e6e8fb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\"Output" + "\"Output" ] }, "metadata": {}, @@ -434,147 +287,180 @@ } ], "source": [ - "# Plot the results of the metrics\n", - "times = [t1, t2, t3]\n", - "depths = [depth_1, depth_2, depth_3]\n", - "sizes = [size_1, size_2, size_3]\n", - "pm_names = [\n", - " \"pm_1 (4 iter, 20 trials)\",\n", - " \"pm_2 (4 iter, 200 trials)\",\n", - " \"pm_3 (8 iter, 200 trials)\",\n", - "]\n", - "colors = plt.cm.viridis(np.linspace(0.2, 0.8, len(pm_names)))\n", - "\n", - "# Create a figure with three subplots\n", - "fig, axs = plt.subplots(3, 1, figsize=(6, 9), sharex=True)\n", - "axs[0].bar(pm_names, times, color=colors)\n", - "axs[0].set_ylabel(\"Time (s)\", fontsize=12)\n", - "axs[0].set_title(\"Transpilation Time\", fontsize=14)\n", - "axs[0].grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n", - "axs[1].bar(pm_names, depths, color=colors)\n", - "axs[1].set_ylabel(\"Depth\", fontsize=12)\n", - "axs[1].set_title(\"Circuit Depth\", fontsize=14)\n", - "axs[1].grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n", - "axs[2].bar(pm_names, sizes, color=colors)\n", - "axs[2].set_ylabel(\"Size\", fontsize=12)\n", - "axs[2].set_title(\"Circuit Size\", fontsize=14)\n", - "axs[2].set_xticks(range(len(pm_names)))\n", - "axs[2].set_xticklabels(pm_names, fontsize=10, rotation=15)\n", - "axs[2].grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n", - "\n", - "# Add some spacing between subplots\n", + "pm_names = list(results_sim.keys())\n", + "depths = [results_sim[n][\"depth\"] for n in pm_names]\n", + "sizes = [results_sim[n][\"size\"] for n in pm_names]\n", + "times = [results_sim[n][\"time\"] for n in pm_names]\n", + "colors = [\"#404080\", \"#2a9d8f\", \"#a8d05e\"]\n", + "x = np.arange(len(pm_names))\n", + "\n", + "fig, axs = plt.subplots(1, 3, figsize=(14, 5))\n", + "\n", + "# 2Q Depth\n", + "bars = axs[0].bar(x, depths, color=colors)\n", + "axs[0].set_ylabel(\"2Q Depth\", fontsize=11)\n", + "axs[0].set_title(\"Two-Qubit Gate Depth\", fontsize=13)\n", + "axs[0].set_ylim(0, max(depths) * 1.2)\n", + "for bar, val in zip(bars, depths):\n", + " axs[0].text(\n", + " bar.get_x() + bar.get_width() / 2,\n", + " bar.get_height() + max(depths) * 0.02,\n", + " str(val),\n", + " ha=\"center\",\n", + " va=\"bottom\",\n", + " fontsize=11,\n", + " fontweight=\"bold\",\n", + " )\n", + "for i in range(1, len(depths)):\n", + " pct = (depths[0] - depths[i]) / depths[0] * 100\n", + " if pct != 0:\n", + " axs[0].text(\n", + " bars[i].get_x() + bars[i].get_width() / 2,\n", + " bars[i].get_height() / 2,\n", + " f\"{pct:+.0f}%\",\n", + " ha=\"center\",\n", + " va=\"center\",\n", + " fontsize=10,\n", + " color=\"white\",\n", + " fontweight=\"bold\",\n", + " )\n", + "\n", + "# Size\n", + "bars = axs[1].bar(x, sizes, color=colors)\n", + "axs[1].set_ylabel(\"Gate Count\", fontsize=11)\n", + "axs[1].set_title(\"Circuit Size\", fontsize=13)\n", + "axs[1].set_ylim(0, max(sizes) * 1.2)\n", + "for bar, val in zip(bars, sizes):\n", + " axs[1].text(\n", + " bar.get_x() + bar.get_width() / 2,\n", + " bar.get_height() + max(sizes) * 0.02,\n", + " str(val),\n", + " ha=\"center\",\n", + " va=\"bottom\",\n", + " fontsize=11,\n", + " fontweight=\"bold\",\n", + " )\n", + "for i in range(1, len(sizes)):\n", + " pct = (sizes[0] - sizes[i]) / sizes[0] * 100\n", + " if abs(pct) > 0.1:\n", + " axs[1].text(\n", + " bars[i].get_x() + bars[i].get_width() / 2,\n", + " bars[i].get_height() / 2,\n", + " f\"{pct:+.0f}%\",\n", + " ha=\"center\",\n", + " va=\"center\",\n", + " fontsize=10,\n", + " color=\"white\",\n", + " fontweight=\"bold\",\n", + " )\n", + "\n", + "# Time\n", + "bars = axs[2].bar(x, times, color=colors)\n", + "axs[2].set_ylabel(\"Time (s)\", fontsize=11)\n", + "axs[2].set_title(\"Transpilation Time\", fontsize=13)\n", + "axs[2].set_ylim(0, max(times) * 1.3)\n", + "for bar, val in zip(bars, times):\n", + " axs[2].text(\n", + " bar.get_x() + bar.get_width() / 2,\n", + " bar.get_height() + max(times) * 0.03,\n", + " f\"{val:.2f}s\",\n", + " ha=\"center\",\n", + " va=\"bottom\",\n", + " fontsize=11,\n", + " fontweight=\"bold\",\n", + " )\n", + "\n", + "for ax in axs:\n", + " ax.set_xticks(x)\n", + " ax.set_xticklabels(pm_names, fontsize=9, rotation=15)\n", + " ax.grid(axis=\"y\", linestyle=\"--\", alpha=0.5)\n", + "\n", + "plt.suptitle(\n", + " \"Transpilation quality vs. SABRE configuration\",\n", + " fontsize=14,\n", + " fontweight=\"bold\",\n", + " y=1.02,\n", + ")\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", - "id": "13a9127a-aee2-447c-8921-f6d26caac84c", + "id": "6a233965-1358-420b-8823-5f4e206090b4", "metadata": {}, "source": [ "### Step 3: Execute using Qiskit primitives\n", "\n", - "In this step, we use the `Estimator` primitive to calculate the expectation values $\\langle Z_0 Z_i \\rangle$ for the `ZZ` operators, evaluating the entanglement and execution quality of the transpiled circuits. To align with typical user workflows, we submit the job for execution and apply error suppression using **dynamical decoupling**, a technique that mitigates decoherence by inserting gate sequences to preserve qubit states. Additionally, we specify a resilience level to counteract noise, with higher levels providing more accurate results at the cost of increased processing time. This approach assesses the performance of each pass manager configuration under realistic execution conditions." + "We run each transpiled circuit **10 times** using the Aer `EstimatorV2` with a noise model derived from the real backend. Since noisy simulation results vary between runs, averaging over multiple runs gives more reliable fidelity estimates and lets us quantify the statistical uncertainty with error bars." ] }, { "cell_type": "code", - "execution_count": 9, - "id": "4ca2c383-f58c-457e-9394-2e0e8ef38d5a", + "execution_count": null, + "id": "a91b9887-c8cf-48fd-a6fb-a5506d201f8d", "metadata": {}, "outputs": [], "source": [ - "options = EstimatorOptions()\n", - "options.resilience_level = 2\n", - "options.dynamical_decoupling.enable = True\n", - "options.dynamical_decoupling.sequence_type = \"XY4\"\n", + "# Create a noisy estimator from the real backend's noise model\n", + "noisy_estimator = AerEstimator.from_backend(backend)\n", "\n", - "# Create an Estimator object\n", - "estimator = Estimator(backend, options=options)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "bde39e77-e4f2-43bf-a9c4-8b9d444a6e82", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "d5k0qs7853es738dab6g\n", - "d5k0qsf853es738dab70\n", - "d5k0qsf853es738dab7g\n" - ] - } - ], - "source": [ - "# Submit the circuit to Estimator\n", - "job_1 = estimator.run([(tqc_1, operators_list_1)])\n", - "job_1_id = job_1.job_id()\n", - "print(job_1_id)\n", - "\n", - "job_2 = estimator.run([(tqc_2, operators_list_2)])\n", - "job_2_id = job_2.job_id()\n", - "print(job_2_id)\n", - "\n", - "job_3 = estimator.run([(tqc_3, operators_list_3)])\n", - "job_3_id = job_3.job_id()\n", - "print(job_3_id)" + "num_runs = 10\n", + "# sim_all_runs[name] = list of arrays, one per run\n", + "sim_all_runs = {name: [] for name in results_sim}\n", + "\n", + "for run in range(num_runs):\n", + " for name, r in results_sim.items():\n", + " job = noisy_estimator.run([(r[\"tqc\"], r[\"ops\"])])\n", + " evs = list(job.result()[0].data.evs)\n", + " sim_all_runs[name].append(evs)\n", + " print(f\"Run {run + 1}/{num_runs} done\")\n", + "\n", + "# Compute mean and std across runs for each config\n", + "sim_stats = {}\n", + "for name in results_sim:\n", + " all_evs = np.array(sim_all_runs[name]) # shape (num_runs, num_operators)\n", + " sim_stats[name] = {\n", + " \"mean\": np.mean(all_evs, axis=0),\n", + " \"std\": np.std(all_evs, axis=0),\n", + " \"overall_mean\": np.mean(all_evs),\n", + " \"overall_std\": np.std(\n", + " np.mean(all_evs, axis=1)\n", + " ), # std of per-run averages\n", + " }\n", + " print(\n", + " f\"{name}: mean fidelity = {sim_stats[name]['overall_mean']:.4f} +/- {sim_stats[name]['overall_std']:.4f}\"\n", + " )" ] }, { - "cell_type": "code", - "execution_count": 11, - "id": "a5d36e34-c725-414d-af94-ff48fc139b81", + "cell_type": "markdown", + "id": "89e6c70f-4da4-470f-b0fa-2e2521c82f6f", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Job 1 done\n", - "Job 2 done\n", - "Job 3 done\n" - ] - } - ], "source": [ - "# Run the jobs\n", - "result_1 = job_1.result()[0]\n", - "print(\"Job 1 done\")\n", - "result_2 = job_2.result()[0]\n", - "print(\"Job 2 done\")\n", - "result_3 = job_3.result()[0]\n", - "print(\"Job 3 done\")" + "Because this is a small circuit, we expect the fidelity values to be relatively close across all three configurations. The circuits are short enough that hardware noise does not heavily penalize even the least optimized version. Still, we can see a consistent improvement in mean fidelity for the configurations that produced lower 2Q depth and gate count, confirming that transpilation quality has a measurable impact even at small scale." ] }, { "cell_type": "markdown", - "id": "30899adf-e2a1-4ca0-867c-1ac994bb2206", + "id": "e601648b-8f5f-4111-ba35-f64af63da909", "metadata": {}, "source": [ "### Step 4: Post-process and return result in desired classical format\n", "\n", - "Once the job completes, we analyze the results by plotting the expectation values $\\langle Z_0 Z_i \\rangle$ for each qubit. In an ideal simulation, all $\\langle Z_0 Z_i \\rangle$ values should be 1, reflecting perfect entanglement across the qubits. However, due to noise and hardware constraints, the expectation values typically decrease as `i` increases, revealing how entanglement degrades over distance.\n", - "\n", - "In this step, we compare the results from each pass manager configuration to the ideal simulation. By examining the deviation of $\\langle Z_0 Z_i \\rangle$ from 1 for each configuration, we can quantify how well each pass manager preserves entanglement and mitigates the effects of noise. This analysis directly assesses the impact of SABRE optimizations on execution fidelity and highlights which configuration best balances optimization quality and execution performance.\n", - "\n", - "\n", - "The results will be visualized to highlight differences across pass managers, showcasing how improvements in layout and routing influence the final circuit execution on noisy quantum hardware." + "We plot the entanglement correlations $\\langle Z_0 Z_i \\rangle$ as a function of qubit distance, along with the **mean correlation** as a single fidelity metric. In an ideal (noiseless) case, all correlations would be 1. With realistic noise, each additional gate introduces error and each additional time step allows decoherence, so a transpiled circuit with lower depth and fewer gates (especially two-qubit gates) should preserve entanglement better." ] }, { "cell_type": "code", - "execution_count": 12, - "id": "bc6cb36f-4bf2-4275-baf5-9557fcba520a", + "execution_count": 17, + "id": "a6dac5ed-a963-458a-ada1-89c915f036e0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\"Output" + "\"Output" ] }, "metadata": {}, @@ -582,765 +468,503 @@ } ], "source": [ - "data = list(range(1, len(operators) + 1)) # Distance between the Z operators\n", - "\n", - "values_1 = list(result_1.data.evs)\n", - "values_2 = list(result_2.data.evs)\n", - "values_3 = list(result_3.data.evs)\n", + "data_sim = list(range(1, len(operators_sim) + 1))\n", + "markers = [\"o\", \"s\", \"^\"]\n", + "colors_line = [\"#404080\", \"#2a9d8f\", \"#a8d05e\"]\n", "\n", - "plt.plot(\n", - " data,\n", - " values_1,\n", - " marker=\"o\",\n", - " label=\"pm_1 (iters=4, swap_trials=20, layout_trials=20)\",\n", + "fig, (ax1, ax2) = plt.subplots(\n", + " 1, 2, figsize=(14, 5), gridspec_kw={\"width_ratios\": [2.5, 1]}\n", ")\n", - "plt.plot(\n", - " data,\n", - " values_2,\n", - " marker=\"s\",\n", - " label=\"pm_2 (iters=4, swap_trials=200, layout_trials=200)\",\n", + "\n", + "# Left: correlations vs distance with error bars (mean +/- 1 std)\n", + "for (name, stats), marker, color in zip(\n", + " sim_stats.items(), markers, colors_line\n", + "):\n", + " ax1.errorbar(\n", + " data_sim,\n", + " stats[\"mean\"],\n", + " yerr=stats[\"std\"],\n", + " marker=marker,\n", + " label=name,\n", + " color=color,\n", + " linewidth=2,\n", + " capsize=3,\n", + " capthick=1,\n", + " elinewidth=1,\n", + " )\n", + "\n", + "ax1.set_xlabel(\"Distance between qubits $i$\", fontsize=11)\n", + "ax1.set_ylabel(r\"$\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", + "ax1.set_title(\n", + " \"Entanglement correlations vs. qubit distance (avg. of 10 runs)\",\n", + " fontsize=12,\n", ")\n", - "plt.plot(\n", - " data,\n", - " values_3,\n", - " marker=\"^\",\n", - " label=\"pm_3 (iters=8, swap_trials=200, layout_trials=200)\",\n", + "ax1.legend(fontsize=9)\n", + "ax1.grid(alpha=0.3)\n", + "\n", + "# Right: mean correlation bar chart with error bars\n", + "names = list(sim_stats.keys())\n", + "means = [sim_stats[n][\"overall_mean\"] for n in names]\n", + "stds = [sim_stats[n][\"overall_std\"] for n in names]\n", + "x_bar = np.arange(len(names))\n", + "bars = ax2.bar(\n", + " x_bar, means, yerr=stds, color=colors_line, capsize=5, ecolor=\"gray\"\n", ")\n", - "plt.xlabel(\"Distance between qubits $i$\")\n", - "plt.ylabel(r\"$\\langle Z_i Z_0 \\rangle / \\langle Z_1 Z_0 \\rangle $\")\n", - "plt.legend()\n", + "ax2.set_ylabel(r\"Mean $\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", + "ax2.set_title(\"Average fidelity\", fontsize=13)\n", + "y_range = max(means) - min(means) if max(means) != min(means) else 0.01\n", + "ax2.set_ylim(min(means) - y_range * 0.8, max(means) + y_range * 0.8)\n", + "for bar, val, std in zip(bars, means, stds):\n", + " ax2.text(\n", + " bar.get_x() + bar.get_width() / 2,\n", + " bar.get_height() + std + y_range * 0.08,\n", + " f\"{val:.4f}\",\n", + " ha=\"center\",\n", + " va=\"bottom\",\n", + " fontsize=10,\n", + " fontweight=\"bold\",\n", + " )\n", + "# Annotate % improvement vs pm_1\n", + "baseline_mean = means[0]\n", + "for i in range(1, len(means)):\n", + " pct = (means[i] - baseline_mean) / baseline_mean * 100\n", + " if abs(pct) > 0.01:\n", + " mid_y = (means[i] + ax2.get_ylim()[0]) / 2\n", + " ax2.text(\n", + " bars[i].get_x() + bars[i].get_width() / 2,\n", + " mid_y,\n", + " f\"{pct:+.1f}%\",\n", + " ha=\"center\",\n", + " va=\"center\",\n", + " fontsize=10,\n", + " color=\"white\",\n", + " fontweight=\"bold\",\n", + " )\n", + "ax2.set_xticks(x_bar)\n", + "ax2.set_xticklabels(names, fontsize=8, rotation=15)\n", + "ax2.grid(axis=\"y\", linestyle=\"--\", alpha=0.5)\n", + "\n", + "fig.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", - "id": "38a1d768-aa3e-41dc-8af6-e6806f58a85c", + "id": "05235ab1-b473-4267-a34c-5f56e728550b", "metadata": {}, "source": [ - "### Analysis of Results\n", - "\n", - "The plot shows the expectation values $\\langle Z_0 Z_i \\rangle / \\langle Z_0 Z_0 \\rangle$ as a function of the distance between qubits for three pass manager configurations with increasing levels of optimization. In the ideal case, these values remain close to 1, indicating strong correlations across the circuit. As the distance increases, noise and accumulated errors lead to a decay in correlations, revealing how well each transpilation strategy preserves the underlying structure of the state.\n", + "The results show a clear connection between transpilation quality and execution fidelity:\n", "\n", - "Among the three configurations, `pm_1` clearly performs the worst. Its correlation values decay rapidly as the distance increases and approach zero much earlier than the other two configurations. This behavior is consistent with its larger circuit depth and gate count, where accumulated noise quickly degrades long-range correlations.\n", + "- **`pm_1` (default)**: Baseline. With only 20 trials and 4 iterations, SABRE has limited room to optimize, resulting in the deepest circuit.\n", + "- **`pm_2` (more trials)**: Exploring 10x more candidates finds layouts comparable to or slightly better than the default. The improvement depends on how much the search space benefits from broader sampling.\n", + "- **`pm_3` (more trials + more iterations)**: Doubling `max_iterations` to 8 gives SABRE more refinement cycles, producing the shallowest and smallest circuit. This translates to higher mean fidelity because the circuit runs faster (less decoherence) and uses fewer two-qubit gates (fewer error opportunities).\n", "\n", - "Both `pm_2` and `pm_3` represent significant improvements over `pm_1` across essentially all distances. On average, `pm_3` exhibits the strongest overall performance, maintaining higher correlation values over longer distances and showing a more gradual decay. This aligns with its more aggressive optimization, which produces shallower circuits that are generally more robust to noise accumulation.\n", - "\n", - "That said, `pm_2` shows noticeably better accuracy at short distances compared to `pm_3`, despite having a slightly larger depth and gate count. This suggests that circuit depth alone does not fully determine performance; the specific structure produced by the transpilation, including how entangling gates are arranged and how errors propagate through the circuit, also plays an important role. In some cases, the transformations applied by `pm_2` appear to better preserve local correlations, even if they do not scale as well to longer distances.\n", - "\n", - "Taken together, these results highlight a trade-off between circuit compactness and circuit structure. While increased optimization generally improves long-range stability, the best performance for a given observable depends on both reducing circuit depth and producing a structure that is well matched to the noise characteristics of the hardware." + "Note that increasing `max_iterations` does not always have a positive impact. In this case it helped significantly, but for other circuits or backends the additional iterations may not yield further improvement, or may even slightly hurt performance due to over-optimization of a local minimum. In general, you should increase `layout_trials` and `swap_trials` as much as your time budget allows, since more trials always increases the chance of finding a better layout. Increasing `max_iterations` is worth testing but should be validated for your specific use case." ] }, { "cell_type": "markdown", - "id": "33b1f4dd-5d8b-4282-9f69-ced86cc2530b", + "id": "c2b60e42-4aa2-4dc1-8a11-022072e79776", "metadata": {}, "source": [ - "## Part II. Configuring the heuristic in SABRE and using Serverless\n", + "## Large-scale hardware example\n", "\n", - "In addition to adjusting trial numbers, SABRE supports customization of the routing heuristic used during transpilation. By default, `SabreLayout` employs the decay heuristic, which dynamically weights qubits based on their likelihood of being swapped. To use a different heuristic (such as the `lookahead` heuristic), you can create a custom `SabreSwap` pass and connect it to `SabreLayout` by running a `PassManager` with `FullAncillaAllocation`, `EnlargeWithAncilla`, and `ApplyLayout`. When using `SabreSwap` as a parameter for `SabreLayout`, only one layout trial is performed by default. To efficiently run multiple layout trials, we leverage the serverless runtime for parallelization. For more about serverless, see the [Serverless documentation](/docs/guides/serverless).\n", + "In addition to adjusting trial numbers, SABRE supports customizing the **routing heuristic**. SABRE offers three heuristics:\n", + "- **`basic`**: A simple greedy approach that selects the swap minimizing the immediate distance to the next gate.\n", + "- **`decay`** (default): Dynamically weights qubits based on recent activity, discouraging repeated swaps on the same qubits.\n", + "- **`lookahead`**: Evaluates future routing costs by looking ahead at upcoming gates, potentially finding better swap sequences.\n", "\n", - "### How to Change the Routing Heuristic\n", - "1. Create a custom `SabreSwap` pass with the desired heuristic.\n", - "2. Use this custom `SabreSwap` as the routing method for the `SabreLayout` pass.\n", + "To use a custom heuristic, create a `SabreSwap` pass and connect it to `SabreLayout` via the `routing_pass` parameter.\n", "\n", - "While it is possible to run multiple layout trials using a loop, serverless runtime is the better choice for large-scale and more vigorous experiments. Serverless supports parallel execution of layout trials, significantly speeding up the optimization of larger circuits and large experimental sweeps. This makes it especially valuable when working with resource-intensive tasks or when time efficiency is critical.\n", - "\n", - "This section focuses solely on step 2 of optimization: minimizing circuit size and depth to achieve the best possible transpiled circuit. Building on the earlier results, we now explore how heuristic customization and serverless parallelization can further enhance optimization performance, making it suitable for large-scale quantum circuit transpilation." + "Here we compare all three heuristics at scale on a 100-qubit GHZ circuit. We run multiple layout trials with different seeds, select the best transpiled circuit from each heuristic, and submit them to real hardware." ] }, { "cell_type": "markdown", - "id": "38876eac-253f-4882-b468-7618ef0c6ba9", + "id": "d755fafa-bbbc-4191-9ad9-a77f2af1bedc", "metadata": {}, "source": [ - "### Results without serverless runtime (1 layout trial):" + "### Steps 1-4 compress into single code block\n", + "Here we put the full workflow together at a larger scale. When using `SabreSwap` as the `routing_pass` for `SabreLayout`, only one layout trial is performed per call, so we loop over seeds to explore the layout space." ] }, { "cell_type": "code", - "execution_count": 17, - "id": "95a5fb2f-8bca-4418-ad1a-c8da533c111f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Default (heuristic='decay') : Depth 443, Size 3115, Time 1.034372091293335\n", - "Custom (heuristic='lookahead'): Depth 432, Size 2856, Time 0.6669301986694336\n" - ] - } - ], - "source": [ - "swap_trials = 1000\n", - "\n", - "# Default PassManager with `SabreLayout` and `SabreSwap`, using heuristic \"decay\"\n", - "sr_default = SabreSwap(\n", - " coupling_map=cmap, heuristic=\"decay\", trials=swap_trials, seed=seed\n", - ")\n", - "sl_default = SabreLayout(\n", - " coupling_map=cmap, routing_pass=sr_default, seed=seed\n", - ")\n", - "pm_default = generate_preset_pass_manager(\n", - " optimization_level=3, backend=backend, seed_transpiler=seed\n", - ")\n", - "pm_default.layout.replace(index=2, passes=sl_default)\n", - "pm_default.routing.replace(index=1, passes=sr_default)\n", - "\n", - "t0 = time.time()\n", - "tqc_default = pm_default.run(qc)\n", - "t_default = time.time() - t0\n", - "size_default = tqc_default.size()\n", - "depth_default = tqc_default.depth(lambda x: x.operation.num_qubits == 2)\n", - "\n", - "\n", - "# Custom PassManager with `SabreLayout` and `SabreSwap`, using heuristic \"lookahead\"\n", - "sr_custom = SabreSwap(\n", - " coupling_map=cmap, heuristic=\"lookahead\", trials=swap_trials, seed=seed\n", - ")\n", - "sl_custom = SabreLayout(coupling_map=cmap, routing_pass=sr_custom, seed=seed)\n", - "pm_custom = generate_preset_pass_manager(\n", - " optimization_level=3, backend=backend, seed_transpiler=seed\n", - ")\n", - "pm_custom.layout.replace(index=2, passes=sl_custom)\n", - "pm_custom.routing.replace(index=1, passes=sr_custom)\n", - "\n", - "t0 = time.time()\n", - "tqc_custom = pm_custom.run(qc)\n", - "t_custom = time.time() - t0\n", - "size_custom = tqc_custom.size()\n", - "depth_custom = tqc_custom.depth(lambda x: x.operation.num_qubits == 2)\n", - "\n", - "print(\n", - " f\"Default (heuristic='decay') : Depth {depth_default}, Size {size_default}, Time {t_default}\"\n", - ")\n", - "print(\n", - " f\"Custom (heuristic='lookahead'): Depth {depth_custom}, Size {size_custom}, Time {t_custom}\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "25d4519b-e41b-4d9f-9d3c-54e8252409d9", - "metadata": {}, - "source": [ - "Here we see that the `lookahead` heuristic performs better than the `decay` heuristic in terms of circuit depth, size, and time. This improvements highlights how we can improve SABRE beyond just trials and iterations for your specific circuit and hardware constraints. Note that these results are based on a single layout trial. To achieve more accurate results, we recommend running multiple layout trials, which can be done efficiently using the serverless runtime." - ] - }, - { - "cell_type": "markdown", - "id": "eff72eda-87e7-48db-93d5-94d06fe57c80", - "metadata": {}, - "source": [ - "### Results with serverless runtime (multiple layout trials)" - ] - }, - { - "cell_type": "markdown", - "id": "0d6b162b-8a78-4b7b-a497-def00672a816", + "execution_count": 7, + "id": "4feb0fcf-d305-4741-82a7-b0fe0f0894fc", "metadata": {}, - "source": [ - "Qiskit Serverless requires setting up your workload’s `.py` files into a dedicated directory. The following code cell is a Python file in the `source_files` directory named `transpile_remote.py`. This file contains the function that runs the transpilation process." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "0ba37113-8e9b-4797-8e13-915310933100", - "metadata": { - "tags": [ - "remove-cell" - ] - }, "outputs": [], "source": [ - "# This cell is hidden from users, it makes sure the `source_files` directory exists\n", - "from pathlib import Path\n", + "# -------------------------Step 1-------------------------\n", "\n", - "Path(\"source_files\").mkdir(exist_ok=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "7fc69c04-42c4-48f0-9ad5-736343b9d316", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting source_files/transpile_remote.py\n" - ] - } - ], - "source": [ - "%%writefile source_files/transpile_remote.py\n", - "import time\n", - "from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager\n", - "from qiskit.transpiler.passes import SabreLayout, SabreSwap\n", - "from qiskit.transpiler import CouplingMap\n", - "from qiskit_serverless import get_arguments, save_result, distribute_task, get\n", - "from qiskit_ibm_runtime import QiskitRuntimeService\n", + "num_qubits = 100\n", "\n", - "@distribute_task(target={\n", - " \"cpu\": 1,\n", - " \"mem\": 1024 * 1024 * 1024\n", - "})\n", - "def transpile_remote(qc, optimization_level, backend_name, seed, swap_trials, heuristic):\n", - " \"\"\"Transpiles an abstract circuit into an ISA circuit for a given backend.\"\"\"\n", - "\n", - " service = QiskitRuntimeService()\n", - " backend = service.backend(backend_name)\n", - "\n", - " pm = generate_preset_pass_manager(\n", - " optimization_level=optimization_level,\n", - " backend=backend,\n", - " seed_transpiler=seed\n", - " )\n", + "# Create star-topology GHZ circuit\n", + "qc = QuantumCircuit(num_qubits)\n", + "qc.h(0)\n", + "for i in range(1, num_qubits):\n", + " qc.cx(0, i)\n", + "qc.measure_all()\n", "\n", - " # Changing the `SabreLayout` and `SabreSwap` passes to use the custom configurations\n", - " cmap = CouplingMap(backend().configuration().coupling_map)\n", - " sr = SabreSwap(coupling_map=cmap, heuristic=heuristic, trials=swap_trials, seed=seed)\n", - " sl = SabreLayout(coupling_map=cmap, routing_pass=sr, seed=seed)\n", - " pm.layout.replace(index=2, passes=sl)\n", - " pm.routing.replace(index=1, passes=sr)\n", - "\n", - " # Measure the transpile time\n", - " start_time = time.time() # Start timer\n", - " tqc = pm.run(qc) # Transpile the circuit\n", - " end_time = time.time() # End timer\n", - "\n", - " transpile_time = end_time - start_time # Calculate the elapsed time\n", - " return tqc, transpile_time # Return both the transpiled circuit and the transpile time\n", - "\n", - "\n", - "# Get program arguments\n", - "arguments = get_arguments()\n", - "circuit = arguments.get(\"circuit\")\n", - "backend_name = arguments.get(\"backend_name\")\n", - "optimization_level = arguments.get(\"optimization_level\")\n", - "seed_list = arguments.get(\"seed_list\")\n", - "swap_trials = arguments.get(\"swap_trials\")\n", - "heuristic = arguments.get(\"heuristic\")\n", - "\n", - "# Transpile the circuits\n", - "transpile_worker_references = [\n", - " transpile_remote(circuit, optimization_level, backend_name, seed, swap_trials, heuristic)\n", - " for seed in seed_list\n", + "# ZZ operators\n", + "operator_strings = [\n", + " \"Z\" + \"I\" * i + \"Z\" + \"I\" * (num_qubits - 2 - i)\n", + " for i in range(num_qubits - 1)\n", "]\n", - "\n", - "results_with_times = get(transpile_worker_references)\n", - "\n", - "# Separate the transpiled circuits and their transpile times\n", - "transpiled_circuits = [result[0] for result in results_with_times]\n", - "transpile_times = [result[1] for result in results_with_times]\n", - "\n", - "# Save both results and transpile times\n", - "save_result({\"transpiled_circuits\": transpiled_circuits, \"transpile_times\": transpile_times})" - ] - }, - { - "cell_type": "markdown", - "id": "fefed67d-3499-4049-a3fa-0920a8fe796d", - "metadata": {}, - "source": [ - "The following cell uploads the `transpile_remote.py` file as a Qiskit Serverless program under the name `transpile_remote_serverless`." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "c467b63b-364f-4bdd-8e65-7a0c013e5d2c", - "metadata": {}, - "outputs": [], - "source": [ - "serverless = QiskitServerless()\n", - "\n", - "transpile_remote_demo = QiskitFunction(\n", - " title=\"transpile_remote_serverless\",\n", - " entrypoint=\"transpile_remote.py\",\n", - " working_dir=\"./source_files/\",\n", - ")\n", - "serverless.upload(transpile_remote_demo)\n", - "transpile_remote_serverless = serverless.load(\"transpile_remote_serverless\")" - ] - }, - { - "cell_type": "markdown", - "id": "1571a9ab-aeff-4033-b33f-0c4c6e760808", - "metadata": {}, - "source": [ - "Generate 20 different seeds to represent 20 different layout trials." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "6bc1561c-e057-4247-9425-c29dfe7cc555", - "metadata": {}, - "outputs": [], - "source": [ - "num_seeds = 20 # represents the different layout trials\n", - "seed_list = [seed + i for i in range(num_seeds)]" - ] - }, - { - "cell_type": "markdown", - "id": "d2a3f146-49e9-468a-9793-2559a9182e1b", - "metadata": {}, - "source": [ - "Run the uploaded program and pass inputs for lookahead heuristic." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "95bad790-86e8-4cca-bfd5-b57b1e6a26c1", - "metadata": {}, - "outputs": [], - "source": [ - "job_lookahead = transpile_remote_serverless.run(\n", - " circuit=qc,\n", - " backend_name=backend.name,\n", - " optimization_level=3,\n", - " seed_list=seed_list,\n", - " swap_trials=swap_trials,\n", - " heuristic=\"lookahead\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "51409259-e359-4b20-90f6-e5c432c3d01a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'15767dfc-e71d-4720-94d6-9212f72334c2'" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "job_lookahead.job_id" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "61049219-0189-4d0c-b717-3e74a1dd7455", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'QUEUED'" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "job_lookahead.status()" - ] - }, - { - "cell_type": "markdown", - "id": "1254e7f4-f2b7-47a1-8373-36dfc4ef8752", - "metadata": {}, - "source": [ - "Receive the logs and results from the serverless runtime." + "operators = [SparsePauliOp(op) for op in operator_strings]" ] }, { "cell_type": "code", - "execution_count": 21, - "id": "46504d93-a0c8-4077-8075-07271f6c93b0", + "execution_count": 8, + "id": "43ec98c6-f4c6-4584-8ba0-edfb4e99f04a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "No logs yet.\n" + "basic:\n", + " 2Q depth — min: 524, mean: 570.5, std: 39.9\n", + " size — min: 3821, mean: 4230.0, std: 358.1\n", + " best seed: 51 (2Q depth=524, size=3853)\n", + "decay:\n", + " 2Q depth — min: 387, mean: 436.4, std: 41.7\n", + " size — min: 2704, mean: 3186.4, std: 457.2\n", + " best seed: 45 (2Q depth=387, size=2786)\n", + "lookahead:\n", + " 2Q depth — min: 364, mean: 424.6, std: 36.5\n", + " size — min: 2335, mean: 3017.2, std: 388.3\n", + " best seed: 51 (2Q depth=364, size=2485)\n" ] } ], "source": [ - "logs_lookahead = job_lookahead.logs()\n", - "print(logs_lookahead)" - ] - }, - { - "cell_type": "markdown", - "id": "a1d4c23a-7f11-491b-b61c-1aadc7351df6", - "metadata": {}, - "source": [ - "Once a program is `DONE`, you can use `job.results()` to fetch the result stored in `save_result()`." - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "61ce55f7-abec-458d-a0b8-f34d1e79f838", - "metadata": {}, - "outputs": [], - "source": [ - "# Run the job with lookahead heuristic\n", - "start_time = time.time()\n", - "results_lookahead = job_lookahead.result()\n", - "end_time = time.time()\n", - "\n", - "job_lookahead_time = end_time - start_time" - ] - }, - { - "cell_type": "markdown", - "id": "5c7d6447-2492-4b7d-83a7-62052c6c982a", - "metadata": {}, - "source": [ - "Now perform the same for decay heuristic." - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "cc400305-3f34-46fe-95bf-fb672ae00954", - "metadata": {}, - "outputs": [], - "source": [ - "job_decay = transpile_remote_serverless.run(\n", - " circuit=qc,\n", - " backend_name=backend.name,\n", - " optimization_level=3,\n", - " seed_list=seed_list,\n", - " swap_trials=swap_trials,\n", - " heuristic=\"decay\",\n", - ")" + "# -------------------------Step 2-------------------------\n", + "\n", + "num_seeds = 10\n", + "seed_list = [seed + i for i in range(num_seeds)]\n", + "swap_trials = 200\n", + "\n", + "heuristic_results = {}\n", + "\n", + "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", + " trials = []\n", + " for s in seed_list:\n", + " sr = SabreSwap(\n", + " coupling_map=cmap, heuristic=heuristic, trials=swap_trials, seed=s\n", + " )\n", + " sl = SabreLayout(coupling_map=cmap, routing_pass=sr, seed=s)\n", + " pm = generate_preset_pass_manager(\n", + " optimization_level=3, backend=backend, seed_transpiler=s\n", + " )\n", + " pm.layout.replace(index=2, passes=sl)\n", + " pm.routing.replace(index=1, passes=sr)\n", + "\n", + " t0 = time.time()\n", + " tqc = pm.run(qc)\n", + " elapsed = time.time() - t0\n", + " depth = tqc.depth(lambda x: x.operation.num_qubits == 2)\n", + " size = tqc.size()\n", + " trials.append(\n", + " {\n", + " \"tqc\": tqc,\n", + " \"depth\": depth,\n", + " \"size\": size,\n", + " \"time\": elapsed,\n", + " \"seed\": s,\n", + " }\n", + " )\n", + "\n", + " heuristic_results[heuristic] = trials\n", + " depths = [t[\"depth\"] for t in trials]\n", + " sizes = [t[\"size\"] for t in trials]\n", + " best = min(trials, key=lambda t: t[\"depth\"])\n", + " print(f\"{heuristic}:\")\n", + " print(\n", + " f\" 2Q depth: min: {min(depths)}, mean: {np.mean(depths):.1f}, std: {np.std(depths):.1f}\"\n", + " )\n", + " print(\n", + " f\" size : min: {min(sizes)}, mean: {np.mean(sizes):.1f}, std: {np.std(sizes):.1f}\"\n", + " )\n", + " print(\n", + " f\" best seed: {best['seed']} (2Q depth={best['depth']}, size={best['size']})\"\n", + " )" ] }, { "cell_type": "code", - "execution_count": 34, - "id": "da60e3e8-a65e-456c-988b-65ba6d16f65a", + "execution_count": 9, + "id": "eead9bd2-17e0-4f5b-80bc-eb9b30af052e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'00418c76-d6ec-4bd8-9f70-05d0fa14d4eb'" + "\"Output" ] }, - "execution_count": 34, "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "job_decay.job_id" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "b32d4bd0-6ffa-42b2-a827-e606cc79791d", - "metadata": {}, - "outputs": [ + "output_type": "display_data" + }, { "name": "stdout", "output_type": "stream", "text": [ - "No logs yet.\n" + "basic: best 2Q depth=524, size=3853 (seed=51)\n", + "decay: best 2Q depth=387, size=2786 (seed=45)\n", + "lookahead: best 2Q depth=364, size=2485 (seed=51)\n" ] } ], "source": [ - "logs_decay = job_decay.logs()\n", - "print(logs_decay)" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "2552cd11-8283-47c5-86c9-58541ee31a12", - "metadata": {}, - "outputs": [], - "source": [ - "# Run the job with the decay heuristic\n", - "start_time = time.time()\n", - "results_decay = job_decay.result()\n", - "end_time = time.time()\n", + "hw_colors = {\"basic\": \"#ff7f0e\", \"decay\": \"#d62728\", \"lookahead\": \"#1f77b4\"}\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(13, 5))\n", + "\n", + "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", + " trials = heuristic_results[heuristic]\n", + " depths = [t[\"depth\"] for t in trials]\n", + " sizes = [t[\"size\"] for t in trials]\n", + " seeds = [t[\"seed\"] for t in trials]\n", + " color = hw_colors[heuristic]\n", + "\n", + " ax1.scatter(\n", + " seeds,\n", + " depths,\n", + " label=heuristic,\n", + " color=color,\n", + " alpha=0.8,\n", + " edgecolor=\"k\",\n", + " s=60,\n", + " )\n", + " ax1.axhline(np.mean(depths), color=color, linestyle=\"--\", alpha=0.5)\n", + "\n", + " ax2.scatter(\n", + " seeds,\n", + " sizes,\n", + " label=heuristic,\n", + " color=color,\n", + " alpha=0.8,\n", + " edgecolor=\"k\",\n", + " s=60,\n", + " )\n", + " ax2.axhline(np.mean(sizes), color=color, linestyle=\"--\", alpha=0.5)\n", + "\n", + "ax1.set_xlabel(\"Seed\", fontsize=11)\n", + "ax1.set_ylabel(\"2Q Depth\", fontsize=11)\n", + "ax1.set_title(\"Two-Qubit Gate Depth per Seed\", fontsize=13)\n", + "ax1.legend(fontsize=10)\n", + "ax1.grid(alpha=0.3)\n", + "\n", + "ax2.set_xlabel(\"Seed\", fontsize=11)\n", + "ax2.set_ylabel(\"Gate Count\", fontsize=11)\n", + "ax2.set_title(\"Circuit Size per Seed\", fontsize=13)\n", + "ax2.legend(fontsize=10)\n", + "ax2.grid(alpha=0.3)\n", + "\n", + "plt.suptitle(\n", + " \"Transpilation variability across seeds: basic vs. decay vs. lookahead\",\n", + " fontsize=14,\n", + " fontweight=\"bold\",\n", + " y=1.02,\n", + ")\n", + "plt.tight_layout()\n", + "plt.show()\n", "\n", - "job_decay_time = end_time - start_time" + "# Summary comparison\n", + "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", + " best = min(heuristic_results[heuristic], key=lambda t: t[\"depth\"])\n", + " print(\n", + " f\"{heuristic}: best 2Q depth={best['depth']}, size={best['size']} (seed={best['seed']})\"\n", + " )" ] }, { "cell_type": "code", - "execution_count": 37, - "id": "fa620c66-c6bd-4e8e-9fe1-46fd614b24fc", + "execution_count": null, + "id": "5ad47245-41d0-4d90-ba94-dda4cd63705d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "=== Total Transpilation Time (Serial Execution) ===\n", - "Decay Heuristic : 112.37 seconds\n", - "Lookahead Heuristic: 85.37 seconds\n", - "\n", - "=== Serverless Job Time (Parallel Execution) ===\n", - "Decay Heuristic : 5.72 seconds\n", - "Lookahead Heuristic: 5.85 seconds\n", - "\n", - "=== Average Time Per Transpilation ===\n", - "Decay Heuristic (Serial) : 5.62 seconds\n", - "Decay Heuristic (Serverless): 0.29 seconds\n", - "Lookahead Heuristic (Serial) : 4.27 seconds\n", - "Lookahead Heuristic (Serverless): 0.29 seconds\n", - "\n", - "=== Serverless Improvement ===\n", - "Decay Heuristic : 94.91%\n", - "Lookahead Heuristic: 93.14%\n" + "Best basic: 2Q depth=524, size=3853\n", + "Best decay: 2Q depth=387, size=2786\n", + "Best lookahead: 2Q depth=364, size=2485\n", + "basic job: d7c23795a5qc73do4s0g\n", + "decay job: d7c237j0g7hs73dq7rjg\n", + "lookahead job: d7c237p5a5qc73do4s1g\n", + "basic job done\n", + "decay job done\n", + "lookahead job done\n" ] } ], "source": [ - "# Extract transpilation times\n", - "transpile_times_decay = results_decay[\"transpile_times\"]\n", - "transpile_times_lookahead = results_lookahead[\"transpile_times\"]\n", - "\n", - "# Calculate total transpilation time for serial execution\n", - "total_transpile_time_decay = sum(transpile_times_decay)\n", - "total_transpile_time_lookahead = sum(transpile_times_lookahead)\n", - "\n", - "# Print total transpilation time\n", - "print(\"=== Total Transpilation Time (Serial Execution) ===\")\n", - "print(f\"Decay Heuristic : {total_transpile_time_decay:.2f} seconds\")\n", - "print(f\"Lookahead Heuristic: {total_transpile_time_lookahead:.2f} seconds\")\n", - "\n", - "# Print serverless job time (parallel execution)\n", - "print(\"\\n=== Serverless Job Time (Parallel Execution) ===\")\n", - "print(f\"Decay Heuristic : {job_decay_time:.2f} seconds\")\n", - "print(f\"Lookahead Heuristic: {job_lookahead_time:.2f} seconds\")\n", - "\n", - "# Calculate and print average runtime per transpilation\n", - "avg_transpile_time_decay = total_transpile_time_decay / num_seeds\n", - "avg_transpile_time_lookahead = total_transpile_time_lookahead / num_seeds\n", - "avg_job_time_decay = job_decay_time / num_seeds\n", - "avg_job_time_lookahead = job_lookahead_time / num_seeds\n", - "\n", - "print(\"\\n=== Average Time Per Transpilation ===\")\n", - "print(f\"Decay Heuristic (Serial) : {avg_transpile_time_decay:.2f} seconds\")\n", - "print(f\"Decay Heuristic (Serverless): {avg_job_time_decay:.2f} seconds\")\n", - "print(\n", - " f\"Lookahead Heuristic (Serial) : {avg_transpile_time_lookahead:.2f} seconds\"\n", - ")\n", - "print(\n", - " f\"Lookahead Heuristic (Serverless): {avg_job_time_lookahead:.2f} seconds\"\n", - ")\n", + "# -------------------------Step 3: Execute on hardware-------------------------\n", "\n", - "# Calculate and print serverless improvement percentage\n", - "decay_improvement_percentage = (\n", - " (total_transpile_time_decay - job_decay_time) / total_transpile_time_decay\n", - ") * 100\n", - "lookahead_improvement_percentage = (\n", - " (total_transpile_time_lookahead - job_lookahead_time)\n", - " / total_transpile_time_lookahead\n", - ") * 100\n", - "\n", - "print(\"\\n=== Serverless Improvement ===\")\n", - "print(f\"Decay Heuristic : {decay_improvement_percentage:.2f}%\")\n", - "print(f\"Lookahead Heuristic: {lookahead_improvement_percentage:.2f}%\")" - ] - }, - { - "cell_type": "markdown", - "id": "5296f4b5-1ac7-497e-979f-ea5eaea7448a", - "metadata": {}, - "source": [ - "These results demonstrate the substantial efficiency gains from using serverless execution for quantum circuit transpilation. Compared to serial execution, serverless execution dramatically reduces overall runtime for both the `decay` and `lookahead` heuristics by parallelizing independent transpilation trials. While serial execution reflects the full cumulative cost of exploring multiple layout trials, the serverless job times highlight how parallel execution collapses this cost into a much shorter wall-clock time. As a result, the effective time per transpilation is reduced to a small fraction of that required in the serial setting, largely independent of the heuristic used. This capability is particularly important for optimizing SABRE to its fullest potential. Many of SABRE’s strongest performance gains come from increasing the number of layout and routing trials, which can be prohibitively expensive when executed sequentially. Serverless execution removes this bottleneck, enabling large-scale parameter sweeps and deeper exploration of heuristic configurations with minimal overhead.\n", + "best_circuits = {}\n", + "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", + " best_circuits[heuristic] = min(\n", + " heuristic_results[heuristic], key=lambda t: t[\"depth\"]\n", + " )\n", + " b = best_circuits[heuristic]\n", + " print(f\"Best {heuristic}: 2Q depth={b['depth']}, size={b['size']}\")\n", "\n", - "Overall, these findings show that serverless execution is key to scaling SABRE optimization, making aggressive experimentation and refinement practical compared to serial execution." - ] - }, - { - "cell_type": "markdown", - "id": "e4f41118-cfb9-4aa3-8aba-201ceadd2195", - "metadata": {}, - "source": [ - "Obtain the results from the serverless runtime and compare the results of the lookahead and decay heuristics. We will compare the sizes and depths." + "options = EstimatorOptions()\n", + "options.resilience_level = 2\n", + "options.dynamical_decoupling.enable = True\n", + "options.dynamical_decoupling.sequence_type = \"XY4\"\n", + "estimator = Estimator(backend, options=options)\n", + "\n", + "hw_jobs = {}\n", + "hw_ops = {}\n", + "for heuristic, best in best_circuits.items():\n", + " hw_ops[heuristic] = [\n", + " op.apply_layout(best[\"tqc\"].layout) for op in operators\n", + " ]\n", + " hw_jobs[heuristic] = estimator.run([(best[\"tqc\"], hw_ops[heuristic])])\n", + " print(f\"{heuristic} job: {hw_jobs[heuristic].job_id()}\")\n", + "estimator.options.environment.job_tags = [\"TUT_TOWS\"]\n", + "\n", + "hw_results = {}\n", + "for heuristic, job in hw_jobs.items():\n", + " hw_results[heuristic] = job.result()[0]\n", + " print(f\"{heuristic} job done\")" ] }, { "cell_type": "code", - "execution_count": 38, - "id": "4cf9588b-8ea6-4761-b544-14bef8f0be85", + "execution_count": 11, + "id": "0280b0b9-6320-43e5-8396-f82f9e718319", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\"Output" + "\"Output" ] }, "metadata": {}, "output_type": "display_data" }, - { - "data": { - "text/plain": [ - "\"Output" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Extract sizes and depths\n", - "sizes_lookahead = [\n", - " circuit.size() for circuit in results_lookahead[\"transpiled_circuits\"]\n", - "]\n", - "depths_lookahead = [\n", - " circuit.depth(lambda x: x.operation.num_qubits == 2)\n", - " for circuit in results_lookahead[\"transpiled_circuits\"]\n", - "]\n", - "sizes_decay = [\n", - " circuit.size() for circuit in results_decay[\"transpiled_circuits\"]\n", - "]\n", - "depths_decay = [\n", - " circuit.depth(lambda x: x.operation.num_qubits == 2)\n", - " for circuit in results_decay[\"transpiled_circuits\"]\n", - "]\n", - "\n", - "\n", - "def create_scatterplot(x, y1, y2, xlabel, ylabel, title, labels, colors):\n", - " plt.figure(figsize=(8, 5))\n", - " plt.scatter(\n", - " x, y1, label=labels[0], color=colors[0], alpha=0.8, edgecolor=\"k\"\n", - " )\n", - " plt.scatter(\n", - " x, y2, label=labels[1], color=colors[1], alpha=0.8, edgecolor=\"k\"\n", - " )\n", - " plt.xlabel(xlabel, fontsize=12)\n", - " plt.ylabel(ylabel, fontsize=12)\n", - " plt.title(title, fontsize=14)\n", - " plt.legend(fontsize=10)\n", - " plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n", - " plt.tight_layout()\n", - " plt.show()\n", - "\n", - "\n", - "create_scatterplot(\n", - " seed_list,\n", - " sizes_lookahead,\n", - " sizes_decay,\n", - " \"Seed\",\n", - " \"Size\",\n", - " \"Circuit Size\",\n", - " [\"lookahead\", \"Decay\"],\n", - " [\"blue\", \"red\"],\n", - ")\n", - "create_scatterplot(\n", - " seed_list,\n", - " depths_lookahead,\n", - " depths_decay,\n", - " \"Seed\",\n", - " \"Depth\",\n", - " \"Circuit Depth\",\n", - " [\"lookahead\", \"Decay\"],\n", - " [\"blue\", \"red\"],\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "9f905f0d-f439-4a7c-9006-be7f292713fc", - "metadata": {}, - "source": [ - "Each point in the scatter plots above represents a layout trial, with the x-axis indicating the circuit depth and the y-axis indicating the circuit size. The results reveal that the lookahead heuristic generally outperforms the decay heuristic in minimizing circuit depth and circuit size. In practical applications, the goal is to identify the optimal layout trial for your chosen heuristic, whether prioritizing depth or size. This can be achieved by selecting the trial with the lowest value for the desired metric. Importantly, increasing the number of layout trials improves the chances of achieving a better result in terms of size or depth, but it comes at the cost of higher computational overhead." - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "e0db89b9-171a-473b-bcb4-19a65b75155c", - "metadata": {}, - "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Lookahead: Min Depth 399 Min Size 2452\n", - "Decay: Min Depth 415 Min Size 2611\n" + "\n", + "Mean fidelity:\n", + " basic: 0.0247\n", + " decay: 0.3731\n", + " lookahead: 0.2837\n" ] } ], "source": [ - "min_depth_lookahead = min(depths_lookahead)\n", - "min_depth_decay = min(depths_decay)\n", - "min_size_lookahead = min(sizes_lookahead)\n", - "min_size_decay = min(sizes_decay)\n", - "print(\n", - " \"Lookahead: Min Depth\",\n", - " min_depth_lookahead,\n", - " \"Min Size\",\n", - " min_size_lookahead,\n", + "# -------------------------Step 4: Post-process-------------------------\n", + "\n", + "data = list(range(1, len(operators) + 1))\n", + "hw_markers = {\"basic\": \"D\", \"decay\": \"o\", \"lookahead\": \"s\"}\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(\n", + " 1, 2, figsize=(14, 5), gridspec_kw={\"width_ratios\": [2.5, 1]}\n", + ")\n", + "\n", + "# Left: correlations vs distance\n", + "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", + " evs = list(hw_results[heuristic].data.evs)\n", + " b = best_circuits[heuristic]\n", + " ax1.plot(\n", + " data,\n", + " evs,\n", + " marker=hw_markers[heuristic],\n", + " color=hw_colors[heuristic],\n", + " linewidth=2,\n", + " label=f\"{heuristic} (2Q depth={b['depth']}, size={b['size']})\",\n", + " markersize=4,\n", + " )\n", + "\n", + "ax1.set_xlabel(\"Distance between qubits $i$\", fontsize=11)\n", + "ax1.set_ylabel(r\"$\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", + "ax1.set_title(\n", + " \"Entanglement correlations vs. qubit distance (hardware)\", fontsize=12\n", + ")\n", + "ax1.legend(fontsize=9)\n", + "ax1.grid(alpha=0.3)\n", + "\n", + "# Right: mean fidelity bar chart\n", + "hw_heuristics = [\"basic\", \"decay\", \"lookahead\"]\n", + "hw_means = [np.mean(list(hw_results[h].data.evs)) for h in hw_heuristics]\n", + "hw_bar_colors = [hw_colors[h] for h in hw_heuristics]\n", + "x_bar = np.arange(len(hw_heuristics))\n", + "bars = ax2.bar(x_bar, hw_means, color=hw_bar_colors)\n", + "ax2.set_ylabel(r\"Mean $\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", + "ax2.set_title(\"Average fidelity\", fontsize=13)\n", + "y_range = (\n", + " max(hw_means) - min(hw_means) if max(hw_means) != min(hw_means) else 0.01\n", ")\n", - "print(\"Decay: Min Depth\", min_depth_decay, \"Min Size\", min_size_decay)" + "ax2.set_ylim(min(hw_means) - y_range * 0.8, max(hw_means) + y_range * 0.8)\n", + "for bar, val in zip(bars, hw_means):\n", + " ax2.text(\n", + " bar.get_x() + bar.get_width() / 2,\n", + " bar.get_height() + y_range * 0.08,\n", + " f\"{val:.4f}\",\n", + " ha=\"center\",\n", + " va=\"bottom\",\n", + " fontsize=11,\n", + " fontweight=\"bold\",\n", + " )\n", + "ax2.set_xticks(x_bar)\n", + "ax2.set_xticklabels(hw_heuristics, fontsize=10)\n", + "ax2.grid(axis=\"y\", linestyle=\"--\", alpha=0.5)\n", + "\n", + "fig.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\nMean fidelity:\")\n", + "for h, m in zip(hw_heuristics, hw_means):\n", + " print(f\" {h}: {m:.4f}\")" ] }, { "cell_type": "markdown", - "id": "762c6b28-a968-4d0d-8a06-7e5a19197d0d", + "id": "151e5fe9-872a-4b89-92f9-85bb883de17b", "metadata": {}, "source": [ - "In our initial comparison using a single layout trial, the lookahead heuristic showed slightly better performance in both circuit depth and size. By extending this study to multiple layout trials using `QiskitServerless`, we were able to explore a much broader space of SABRE initializations, enabling a more representative comparison between heuristics.\n", + "### Analysis\n", "\n", - "From the scatter plots and the best observed results, it is clear that performance varies significantly with the random seed used by SABRE. Both heuristics exhibit a wide spread in circuit depth and size across seeds, indicating that a single run is often insufficient to capture near-optimal results. This variability highlights the importance of running many trials with different seeds when aiming to minimize depth and/or gate count. Across the full set of trials, both the `lookahead` and `decay` heuristics were capable of producing competitive results. In some cases, the `decay` heuristic matched or even outperformed `lookahead` for specific seeds. However, for this particular circuit, the best overall results were obtained using the lookahead heuristic, albeit by a modest margin. This suggests that while lookahead provided the strongest outcome here, its advantage over decay is not absolute.\n", + "The scatter plots show significant variability across seeds for all three heuristics, which underscores the importance of running multiple layout trials rather than relying on a single transpilation.\n", "\n", - "Overall, these results reinforce two key points. First, leveraging many seeds is essential for extracting the best possible performance from SABRE, regardless of the heuristic used. Second, while heuristic choice matters, circuit structure plays a dominant role, and the relative performance of `lookahead` and `decay` may differ for other circuits. As such, large-scale, multi-seed experimentation is critical for robust and effective quantum circuit transpilation." - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "42343aca-1327-4ac8-bbd0-880aa916a091", - "metadata": { - "tags": [ - "remove-cell" - ] - }, - "outputs": [], - "source": [ - "# This cell is hidden from users, it cleans up the `source_files` directory\n", - "from pathlib import Path\n", + "From the transpilation results, both the `decay` and `lookahead` heuristics consistently outperform `basic` by a wide margin in terms of 2Q depth and circuit size. The `basic` heuristic, while fast, uses a simple greedy strategy that often leads to substantially deeper circuits. For this type of star-topology GHZ circuit, `lookahead` tends to produce the lowest 2Q depth and gate count overall, since its forward-looking cost function is well suited to circuits with long-range connectivity patterns.\n", + "\n", + "However, lower 2Q depth and gate count do not always translate directly to higher fidelity. In this example, `decay` achieved a higher average fidelity than `lookahead` despite having a slightly higher 2Q depth. This illustrates that fidelity depends on more than just depth and gate count. The specific circuit structure, how gates are arranged relative to the device's noise profile, and which physical qubits are used all play a role. Notably, while `decay` had a higher average fidelity overall, `lookahead` consistently achieved better fidelity at longer distances (beyond qubit distance ~60), where the impact of circuit depth becomes more dominant.\n", "\n", - "Path(\"source_files/transpile_remote.py\").unlink()\n", - "Path(\"source_files\").rmdir()" + "**Key takeaways:**\n", + "- The `decay` and `lookahead` heuristics are substantially better than `basic` for non-trivial circuits. Always prefer one of the two for production workloads.\n", + "- The best heuristic depends on your circuit and hardware. Testing multiple heuristics with multiple seeds is the most reliable strategy.\n", + "- For even broader exploration of the layout space, consider parallelizing seed trials with [Qiskit Serverless](/docs/guides/serverless)." ] }, { "cell_type": "markdown", - "id": "b2c5e4ad-cc9f-4090-a513-164bc4a46b85", + "id": "65c2cebe-50b9-4304-9123-bf4cea7ecff6", "metadata": {}, "source": [ - "## Conclusion\n", - "\n", - "In this tutorial, we explored how to optimize large circuits using SABRE in Qiskit. We demonstrated how to configure the `SabreLayout` pass with different parameters to balance circuit quality and transpilation runtime. We also showed how to customize the routing heuristic in SABRE and use the `QiskitServerless`runtime to parallelize layout trials efficiently for when `SabreSwap` is involved. By adjusting these parameters and heuristics, you can optimize the layout and routing of large circuits, ensuring they are executed efficiently on quantum hardware." + "## Next steps\n", + "If you found this work interesting, you might be interested in the following material:\n", + "\n", + "- [SabreLayout API reference](/docs/api/qiskit/qiskit.transpiler.passes.SabreLayout): full parameter documentation\n", + "- [Write a custom transpiler pass](/docs/guides/custom-transpiler-pass): build your own transpilation logic\n", + "- [Transpiler plugins](/docs/guides/transpiler-plugins): extend Qiskit's transpilation pipeline with third-party passes\n", + "- [DAG representation](/docs/guides/DAG-representation): understand the directed acyclic graph used internally by the transpiler\n", + "" ] }, { "cell_type": "markdown", - "id": "b21ac273-966f-41c2-a54e-1bb76072b2fe", + "id": "42d1c053-1683-4c32-be1b-a36602207f74", "metadata": {}, "source": [ "## Tutorial survey\n", diff --git 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z?%zXE@c%v(9mr?m{YNMSp6(E~>&WeL6l%uS_->)@r=Buovkie0K4~?F^rI6Hw@qvI ZLyM&v2)8y&F<*9{=LD literal 0 HcmV?d00001 From 6e917f386920f24104e8934a0fa27009f542ce07 Mon Sep 17 00:00:00 2001 From: Henry Zou Date: Fri, 10 Apr 2026 06:35:39 -0400 Subject: [PATCH 02/30] npm run check --- ...anspilation-optimizations-with-sabre.ipynb | 32 +++++++++---------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 97ed5ed9d0b..718a3a2b762 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -11,7 +11,7 @@ "---\n", "\n", "\n", - "{/* cspell:ignore ylabel xlabel fontsize sharex edgecolor */}\n", + "{/* cspell:ignore ylabel xlabel fontsize sharex edgecolor, fontweight, elinewidth, ecolor */}\n", "\n", "# Transpilation Optimizations with SABRE\n", "*Usage estimate: 1 minute on a Heron r2 processor. (NOTE: This is an estimate only. Your runtime may vary.)*" @@ -30,9 +30,9 @@ "\n", "## Prerequisites\n", "We suggest that you are familiar with the following topics before going through this tutorial:\n", - "- [Transpile circuits](/docs/guides/transpile): overview of transpilation in Qiskit\n", - "- [Transpiler stages](/docs/guides/transpiler-stages): layout and routing stages\n", - "- [Configure preset pass managers](/docs/guides/configure-preset-pass-managers): customizing optimization levels\n", + "- [Transpile circuits](https://quantum.cloud.ibm.com/docs/en/guides/transpile): overview of transpilation in Qiskit\n", + "- [Transpiler stages](https://quantum.cloud.ibm.com/docs/en/guides/transpiler-stages): layout and routing stages\n", + "- [Configure preset pass managers](https://quantum.cloud.ibm.com/docs/en/guides/transpile-with-pass-managers): customizing optimization levels\n", "\n", "## Background\n", "\n", @@ -51,7 +51,7 @@ "## Requirements\n", "\n", "Before starting this tutorial, be sure you have the following installed:\n", - "- Qiskit SDK v2.0 or later, with [visualization](/docs/api/qiskit/visualization) support\n", + "- Qiskit SDK v2.0 or later, with [visualization](https://quantum.cloud.ibm.com/docs/en/api/qiskit/visualization) support\n", "- Qiskit Runtime v0.22 or later (`pip install qiskit-ibm-runtime`)\n", "- Qiskit Aer (`pip install qiskit-aer`)" ] @@ -625,16 +625,16 @@ "output_type": "stream", "text": [ "basic:\n", - " 2Q depth — min: 524, mean: 570.5, std: 39.9\n", - " size — min: 3821, mean: 4230.0, std: 358.1\n", + " 2Q depth \u2014 min: 524, mean: 570.5, std: 39.9\n", + " size \u2014 min: 3821, mean: 4230.0, std: 358.1\n", " best seed: 51 (2Q depth=524, size=3853)\n", "decay:\n", - " 2Q depth — min: 387, mean: 436.4, std: 41.7\n", - " size — min: 2704, mean: 3186.4, std: 457.2\n", + " 2Q depth \u2014 min: 387, mean: 436.4, std: 41.7\n", + " size \u2014 min: 2704, mean: 3186.4, std: 457.2\n", " best seed: 45 (2Q depth=387, size=2786)\n", "lookahead:\n", - " 2Q depth — min: 364, mean: 424.6, std: 36.5\n", - " size — min: 2335, mean: 3017.2, std: 388.3\n", + " 2Q depth \u2014 min: 364, mean: 424.6, std: 36.5\n", + " size \u2014 min: 2335, mean: 3017.2, std: 388.3\n", " best seed: 51 (2Q depth=364, size=2485)\n" ] } @@ -944,7 +944,7 @@ "**Key takeaways:**\n", "- The `decay` and `lookahead` heuristics are substantially better than `basic` for non-trivial circuits. Always prefer one of the two for production workloads.\n", "- The best heuristic depends on your circuit and hardware. Testing multiple heuristics with multiple seeds is the most reliable strategy.\n", - "- For even broader exploration of the layout space, consider parallelizing seed trials with [Qiskit Serverless](/docs/guides/serverless)." + "- For even broader exploration of the layout space, consider parallelizing seed trials with [Qiskit Serverless](https://quantum.cloud.ibm.com/docs/en/guides/serverless)." ] }, { @@ -955,10 +955,10 @@ "## Next steps\n", "If you found this work interesting, you might be interested in the following material:\n", "\n", - "- [SabreLayout API reference](/docs/api/qiskit/qiskit.transpiler.passes.SabreLayout): full parameter documentation\n", - "- [Write a custom transpiler pass](/docs/guides/custom-transpiler-pass): build your own transpilation logic\n", - "- [Transpiler plugins](/docs/guides/transpiler-plugins): extend Qiskit's transpilation pipeline with third-party passes\n", - "- [DAG representation](/docs/guides/DAG-representation): understand the directed acyclic graph used internally by the transpiler\n", + "- [SabreLayout API reference](https://quantum.cloud.ibm.com/docs/en/api/qiskit/qiskit.transpiler.passes.SabreLayout): full parameter documentation\n", + "- [Write a custom transpiler pass](https://quantum.cloud.ibm.com/docs/en/guides/custom-transpiler-pass): build your own transpilation logic\n", + "- [Transpiler plugins](https://quantum.cloud.ibm.com/docs/en/guides/transpiler-plugins): extend Qiskit's transpilation pipeline with third-party passes\n", + "- [DAG representation](https://quantum.cloud.ibm.com/docs/en/guides/DAG-representation): understand the directed acyclic graph used internally by the transpiler\n", "" ] }, From 9fe34bb7a7a66cf716409bacec36d25dc193d7d6 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:32:33 -0400 Subject: [PATCH 03/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 718a3a2b762..955c290ad4f 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -6,7 +6,7 @@ "metadata": {}, "source": [ "---\n", - "title: Transpilation optimizations with SABRE\n", + "title: Transpilation optimization with SABRE\n", "description: Optimize quantum circuits using SABRE layout and routing for large-scale hardware execution.\n", "---\n", "\n", From 3f5d9d3f445fcc44296e80bd1c4a5df50abdbfb2 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:32:41 -0400 Subject: [PATCH 04/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 955c290ad4f..9b0071a38d1 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -13,7 +13,7 @@ "\n", "{/* cspell:ignore ylabel xlabel fontsize sharex edgecolor, fontweight, elinewidth, ecolor */}\n", "\n", - "# Transpilation Optimizations with SABRE\n", + "# Transpilation Optimization with SABRE\n", "*Usage estimate: 1 minute on a Heron r2 processor. (NOTE: This is an estimate only. Your runtime may vary.)*" ] }, From 183df2a63ef27a52539cad0ee494c5c132d50254 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:32:53 -0400 Subject: [PATCH 05/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 9b0071a38d1..a348daa3765 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -36,7 +36,7 @@ "\n", "## Background\n", "\n", - "Transpilation converts quantum circuits into forms compatible with specific quantum hardware. Two key stages are **qubit layout** (mapping logical qubits to physical qubits) and **gate routing** (inserting SWAP gates so multi-qubit gates respect device connectivity).\n", + "Transpilation converts quantum circuits into forms compatible with specific quantum hardware. Two key stages are choosing a **qubit layout** (mapping logical qubits to physical qubits) and **gate routing** (inserting SWAP gates so multi-qubit gates respect device connectivity).\n", "\n", "**SABRE** (*SWAP-Based Bidirectional heuristic search algorithm*) optimizes both layout and routing. It is especially effective for large-scale circuits (100+ qubits) on devices with complex coupling maps, like IBM® Heron processors. SABRE minimizes SWAP gates and reduces circuit depth, improving execution fidelity. Recent improvements in the [LightSABRE](https://arxiv.org/abs/2409.08368) algorithm further reduce runtimes and gate counts.\n", "\n", From 4f22731c78e9799d51bfccd2e69ca1c17e32cf97 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:33:03 -0400 Subject: [PATCH 06/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index a348daa3765..46259b3a30d 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -112,7 +112,7 @@ "source": [ "## Small-scale simulator example\n", "\n", - "In this section, we use a **noisy simulator** based on the real backend's noise model to demonstrate how different `SabreLayout` configurations affect both transpilation quality and execution fidelity. Using `qiskit_aer` with a noise model derived from actual hardware calibration data lets us iterate quickly without consuming hardware credits." + "In this section, a **noisy simulator** based on the real backend's noise model is used to demonstrate how different `SabreLayout` configurations affect both transpilation quality and execution fidelity. Using `qiskit_aer` with a noise model derived from actual hardware calibration data allows you to test the transpilation without consuming hardware credits." ] }, { From d2ea841fd47fecdc110cf967da33efec7f47f2d1 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:33:13 -0400 Subject: [PATCH 07/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 46259b3a30d..c8fdfc14eda 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -160,7 +160,7 @@ "source": [ "### Step 2: Optimize problem for quantum hardware execution\n", "\n", - "We create three pass managers with `optimization_level=3`, each with different `SabreLayout` configurations:\n", + "The following cell creates three pass managers with `optimization_level=3`, each with different `SabreLayout` configurations:\n", "\n", "| Config | `max_iterations` | `layout_trials` | `swap_trials` |\n", "|--------|----------------:|----------------:|--------------:|\n", From 7be59feb41709c20a545f6491122409c3f00f068 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:33:22 -0400 Subject: [PATCH 08/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index c8fdfc14eda..03f598ba5c7 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -438,7 +438,7 @@ "id": "89e6c70f-4da4-470f-b0fa-2e2521c82f6f", "metadata": {}, "source": [ - "Because this is a small circuit, we expect the fidelity values to be relatively close across all three configurations. The circuits are short enough that hardware noise does not heavily penalize even the least optimized version. Still, we can see a consistent improvement in mean fidelity for the configurations that produced lower 2Q depth and gate count, confirming that transpilation quality has a measurable impact even at small scale." + "Because this is a small circuit, we expect the fidelity values to be relatively close across all three configurations. The circuits are short enough that hardware noise does not heavily penalize even the least optimized version. Still, there is a consistent improvement in mean fidelity for the configurations that produced lower 2Q depth and gate count, confirming that transpilation quality has a measurable impact even at a small scale." ] }, { From b93208bd60a24fda4ad9bdc011fccac745d07bfc Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:33:30 -0400 Subject: [PATCH 09/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 03f598ba5c7..00669ee59a4 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -448,7 +448,7 @@ "source": [ "### Step 4: Post-process and return result in desired classical format\n", "\n", - "We plot the entanglement correlations $\\langle Z_0 Z_i \\rangle$ as a function of qubit distance, along with the **mean correlation** as a single fidelity metric. In an ideal (noiseless) case, all correlations would be 1. With realistic noise, each additional gate introduces error and each additional time step allows decoherence, so a transpiled circuit with lower depth and fewer gates (especially two-qubit gates) should preserve entanglement better." + "Next plot the entanglement correlations $\\langle Z_0 Z_i \\rangle$ as a function of qubit distance, along with the **mean correlation** as a single fidelity metric. In an ideal (noiseless) case, all correlations would be 1. With realistic noise, each additional gate introduces error and each additional time step allows decoherence, so a transpiled circuit with lower depth and fewer gates (especially two-qubit gates) should preserve entanglement better." ] }, { From e3ed6d205f667142586acfd340fccc5e8ff85dd6 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:33:39 -0400 Subject: [PATCH 10/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 00669ee59a4..357f516557e 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -585,7 +585,7 @@ "metadata": {}, "source": [ "### Steps 1-4 compress into single code block\n", - "Here we put the full workflow together at a larger scale. When using `SabreSwap` as the `routing_pass` for `SabreLayout`, only one layout trial is performed per call, so we loop over seeds to explore the layout space." + "Here the full workflow is put together at a larger scale. When using `SabreSwap` as the `routing_pass` for `SabreLayout`, only one layout trial is performed per call, so the following code cell loops over seeds to explore the layout space." ] }, { From cdea417aa7d7e6f2957e745f671ac47c2b5b84f1 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:33:46 -0400 Subject: [PATCH 11/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 357f516557e..4376b8c38a6 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -584,7 +584,7 @@ "id": "d755fafa-bbbc-4191-9ad9-a77f2af1bedc", "metadata": {}, "source": [ - "### Steps 1-4 compress into single code block\n", + "### Steps 1-4 compressed into a single code block\n", "Here the full workflow is put together at a larger scale. When using `SabreSwap` as the `routing_pass` for `SabreLayout`, only one layout trial is performed per call, so the following code cell loops over seeds to explore the layout space." ] }, From 819ac3e04b0855f10b47224b6da97e32d2a705ce Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:34:15 -0400 Subject: [PATCH 12/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Kaelyn Ferris <43348706+kaelynj@users.noreply.github.com> --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 4376b8c38a6..dbe864ccd28 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -942,7 +942,7 @@ "However, lower 2Q depth and gate count do not always translate directly to higher fidelity. In this example, `decay` achieved a higher average fidelity than `lookahead` despite having a slightly higher 2Q depth. This illustrates that fidelity depends on more than just depth and gate count. The specific circuit structure, how gates are arranged relative to the device's noise profile, and which physical qubits are used all play a role. Notably, while `decay` had a higher average fidelity overall, `lookahead` consistently achieved better fidelity at longer distances (beyond qubit distance ~60), where the impact of circuit depth becomes more dominant.\n", "\n", "**Key takeaways:**\n", - "- The `decay` and `lookahead` heuristics are substantially better than `basic` for non-trivial circuits. Always prefer one of the two for production workloads.\n", + "- The `decay` and `lookahead` heuristics are substantially better than `basic` for non-trivial circuits. It is generally helpful to prefer one of the two for production workloads.\n", "- The best heuristic depends on your circuit and hardware. Testing multiple heuristics with multiple seeds is the most reliable strategy.\n", "- For even broader exploration of the layout space, consider parallelizing seed trials with [Qiskit Serverless](https://quantum.cloud.ibm.com/docs/en/guides/serverless)." ] From 63ba18d8ccbf99f73ff805c31191437d49da267d Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 13:37:04 -0400 Subject: [PATCH 13/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: Matthew Treinish --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index dbe864ccd28..cac040b5e7a 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -196,7 +196,7 @@ } ], "source": [ - "cmap = CouplingMap(backend().configuration().coupling_map)\n", + "cmap = backend.coupling_map\n", "\n", "# Custom SabreLayout passes\n", "sl_2 = SabreLayout(\n", From 0427db79f26b079423638e40e151ba0e263290a7 Mon Sep 17 00:00:00 2001 From: abbycross Date: Tue, 12 May 2026 14:53:00 -0400 Subject: [PATCH 14/30] Update index.mdx to fix lint --- docs/tutorials/index.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/index.mdx b/docs/tutorials/index.mdx index b43bc5297fb..0c7f98b14a1 100644 --- a/docs/tutorials/index.mdx +++ b/docs/tutorials/index.mdx @@ -85,7 +85,7 @@ Workload optimization focuses on either efficient orchestration of classical and * [Qiskit AI-powered transpiler service introduction](/docs/tutorials/ai-transpiler-introduction) -* [Transpilation optimizations with SABRE](/docs/tutorials/transpilation-optimizations-with-sabre) +* [Transpilation optimization with SABRE](/docs/tutorials/transpilation-optimizations-with-sabre) * [Compilation methods for Hamiltonian simulation circuits](/docs/tutorials/compilation-methods-for-hamiltonian-simulation-circuits) From b45c8dbe30ba246aed3b753262060d457062f7b8 Mon Sep 17 00:00:00 2001 From: abbycross Date: Tue, 12 May 2026 14:53:36 -0400 Subject: [PATCH 15/30] Update _toc.json --- docs/tutorials/_toc.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/_toc.json b/docs/tutorials/_toc.json index 06feca701a3..ba84f1d2659 100644 --- a/docs/tutorials/_toc.json +++ b/docs/tutorials/_toc.json @@ -107,7 +107,7 @@ "url": "/docs/tutorials/ai-transpiler-introduction" }, { - "title": "Transpilation optimizations with SABRE", + "title": "Transpilation optimization with SABRE", "url": "/docs/tutorials/transpilation-optimizations-with-sabre" }, { From 21ae126e4334be1f504fa4e7fb6310e16fe61a47 Mon Sep 17 00:00:00 2001 From: Henry Zou Date: Tue, 12 May 2026 16:06:57 -0400 Subject: [PATCH 16/30] Address review feedback on transpilation-optimizations-with-sabre tutorial MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Step 1: Add note about StarPreRouting as a specialized alternative for star-topology GHZ circuits, with link to the API reference. - Step 2: Split the monolithic pass-manager construction cell into inspect → modify → run cells, and visualize the layout stage with `pm.layout.draw()` so readers can see where SabreLayout sits and how the structure changes after replacement. - Step 2 (small + large scale): Re-wrap the custom SabreLayout (and the custom SabreSwap in the large-scale loop) in the same `ConditionalController` + `BarrierBeforeFinalMeasurements` that the default preset uses. This preserves the `_vf2_match_not_found` / `_swap_condition` gating and the protective barrier, so the only behavioral difference from the default is the SABRE configuration itself rather than silently disabling VF2's perfect-layout fallback. - Analysis: Drop the Qiskit Serverless seed-parallelization recommendation; bumping `swap_trials`/`layout_trials` locally is more efficient since SABRE already parallelizes trials across threads. - Next steps: Add links to the SABRE and LightSABRE papers. Note will expand on StarPreRouting in a latter commit --- ...anspilation-optimizations-with-sabre.ipynb | 301 ++++++++++++++---- 1 file changed, 234 insertions(+), 67 deletions(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index cac040b5e7a..3fb51b724f9 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -66,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "6d93c123-b92e-434d-8361-8115509e6d5f", "metadata": {}, "outputs": [ @@ -74,7 +74,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Using backend: ibm_pittsburgh\n" + "Using backend: ibm_fez\n" ] } ], @@ -86,21 +86,28 @@ "from qiskit_ibm_runtime import EstimatorV2 as Estimator\n", "from qiskit_aer.primitives import EstimatorV2 as AerEstimator\n", "from qiskit.transpiler import CouplingMap\n", - "from qiskit.transpiler.passes import SabreLayout, SabreSwap\n", + "from qiskit.transpiler.passes import (\n", + " SabreLayout,\n", + " SabreSwap,\n", + " BarrierBeforeFinalMeasurements,\n", + ")\n", + "from qiskit.transpiler.passes.layout.vf2_layout import VF2LayoutStopReason\n", "from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager\n", + "from qiskit.passmanager.flow_controllers import ConditionalController\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import time\n", "\n", "seed = 42\n", "\n", - "service = QiskitRuntimeService(\n", - " channel=\"ibm_cloud\",\n", - " token=\"\", # Replace with your actual API token\n", - " instance=\"\", # Replace with your instance name if needed\n", - ")\n", - "backend = service.least_busy(operational=True, simulator=False)\n", - "\n", + "#service = QiskitRuntimeService(\n", + "# channel=\"ibm_cloud\",\n", + "# token=\"\", # Replace with your actual API token\n", + "# instance=\"\", # Replace with your instance name if needed\n", + "#)\n", + "#backend = service.least_busy(operational=True, simulator=False)\n", + "service = QiskitRuntimeService()\n", + "backend = service.backend(\"ibm_fez\")\n", "\n", "print(f\"Using backend: {backend.name}\")" ] @@ -126,12 +133,16 @@ "\n", "We also define `ZZ` operators to measure entanglement correlations $\\langle Z_0 Z_i \\rangle$ across qubit pairs.\n", "\n", - "![ghz_star_topology.png](/docs/images/tutorials/transpilation-optimizations-with-sabre/ghz_star_topology.avif)" + "![ghz_star_topology.png](/docs/images/tutorials/transpilation-optimizations-with-sabre/ghz_star_topology.avif)\n", + "\n", + "\n", + "SABRE is a general-purpose algorithm and makes no assumptions about circuit structure. For this star-topology GHZ circuit, an optimal routing is actually known: the [`StarPreRouting`](https://quantum.cloud.ibm.com/docs/en/api/qiskit/qiskit.transpiler.passes.StarPreRouting) pass detects star sub-circuits and rewrites them into a linear chain that maps directly onto any backend with a long enough linear path. This tutorial focuses on SABRE because it works for arbitrary circuits, but if you know your circuit has a clear special structure, applying a specialized pass like `StarPreRouting` before routing can outperform any heuristic search.\n", + "" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 2, "id": "08a8c4df-b1a5-45b7-9808-ca4e5d7631d8", "metadata": {}, "outputs": [], @@ -160,7 +171,14 @@ "source": [ "### Step 2: Optimize problem for quantum hardware execution\n", "\n", - "The following cell creates three pass managers with `optimization_level=3`, each with different `SabreLayout` configurations:\n", + "The default `optimization_level=3` preset pass manager already uses `SabreLayout`, but with conservative defaults. To explore the impact of stronger settings, we replace that pass with a custom `SabreLayout` configured for more aggressive search, while leaving every other pass in the layout stage untouched.\n", + "\n", + "The workflow is:\n", + "1. **Inspect** the default pass manager to see where `SabreLayout` sits inside the `layout` stage.\n", + "2. **Replace** that pass with a custom `SabreLayout` instance using `PassManager.replace(index, passes=...)`.\n", + "3. **Run** all three pass managers and compare metrics.\n", + "\n", + "We compare three configurations:\n", "\n", "| Config | `max_iterations` | `layout_trials` | `swap_trials` |\n", "|--------|----------------:|----------------:|--------------:|\n", @@ -172,33 +190,76 @@ "- **`layout_trials` / `swap_trials`**: Control how many candidate layouts and routing solutions SABRE explores. More trials means SABRE samples a wider search space, increasing the chance of finding a better solution.\n", "- **`max_iterations`**: Controls how many forward-backward routing refinement cycles SABRE performs on each candidate. More iterations let SABRE iteratively improve the layout by learning from routing feedback.\n", "\n", - "Both come at the cost of longer transpilation time, but the resulting circuits are shorter and use fewer gates, which directly reduces decoherence and gate errors on real hardware." + "Both come at the cost of longer transpilation time, but the resulting circuits are shorter and use fewer gates, which directly reduces decoherence and gate errors on real hardware.\n", + "\n", + "**Step 2a: Inspect the default pass manager.** A `StagedPassManager` is composed of stages (`init`, `layout`, `routing`, `translation`, `optimization`, `scheduling`), each itself a `PassManager`. Calling `.draw()` on a stage renders its passes as a graph so we can see where `SabreLayout` lives." ] }, { "cell_type": "code", - "execution_count": 14, - "id": "fd52f8dd-862b-46e2-b93d-0b35f47a3d83", + "execution_count": 3, + "id": "b40fe1e0-41cd-4e8b-acb9-801872d35f1f", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "pm_1 (4,20,20): 2Q Depth 38, Size 183, Time 0.01s\n", - "pm_2 (4,200,200): 2Q Depth 36, Size 183, Time 0.12s\n", - "pm_3 (8,200,200): 2Q Depth 30, Size 158, Time 0.12s\n", - "\n", - "Improvement vs. default (pm_1):\n", - " pm_2 (4,200,200): 2Q depth +5.3%, size +0.0%\n", - " pm_3 (8,200,200): 2Q depth +21.1%, size +13.7%\n" - ] + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Build the default pass manager (no modifications yet)\n", + "pm_1 = generate_preset_pass_manager(\n", + " optimization_level=3, backend=backend, seed_transpiler=seed\n", + ")\n", + "\n", + "# Visualize the layout stage to see where SabreLayout sits\n", + "pm_1.layout.draw()" + ] + }, + { + "cell_type": "markdown", + "id": "8f9e5393-af3b-4d3d-a0d8-d20585b02895", + "metadata": {}, + "source": [ + "In the diagram above, the `SabreLayout` pass we want to customize lives inside the `ConditionalController` at position **[2]** of the layout stage. That controller does two things:\n", + "\n", + "- It gates `SabreLayout` so it only runs when `VF2Layout` at [1] failed to find a perfect mapping (otherwise the perfect VF2 layout is kept).\n", + "- It precedes `SabreLayout` with a `BarrierBeforeFinalMeasurements` pass that protects measurements from being reordered during SabreLayout's internal routing.\n", + "\n", + "If we just `replace(index=2, passes=sl_2)`, both behaviors are dropped. To keep them, we re-wrap our custom `SabreLayout` in the same `ConditionalController` (with the same condition and the protective barrier) before swapping it in.\n", + "\n", + "**Step 2b: Build custom `SabreLayout` passes and replace the default.**" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "79075a21-8f36-4fd9-9d0d-bd0e97395b60", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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7B6aRia9fv4K5goKCYHqUGPpgdHHZ0I/DUR+MhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGAF1CQEJCAmzPvXv3wDQyAVtwJioqiiw8yh7CYHRx2RCOvFGnj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgA9Q0BNTY2BkZGRAdvisosXL4KdYm5uDqZHiaEPRheXDf04HPXBaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjILREBgNgdEQGA2B0RAYDYHREBgNgdEQoEsISElJMdjZ2TEcOnSI4e7du3A7f//+zbBs2TIGaWlpBmNjY7j4KGNog9HFZUM7/kZdPxoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgJ0DYGqqioG0GKysLAwhnXr1jHs37+fwdfXF3ya2ezZs8Enm9HVQaOW0Qyw0MzkUYNHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhl0IuLm5MSxevJghJSWFITg4GOw/AQEBhr6+PgZPT08wf5QYHmB0cdnwiMdRX4yGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYA3UIgIiKCISQkhOHMmTMM//79YzA3N2dgZmamm/2jFtEHjC4uGwWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCJIcACwsLg4WFBcn6RjUMHcA0dJw66tLREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BeofAhQsXGMLCwhj6+/uJtnr+/PlgPQcPHiRaz6jCwQdGTy4bfHEy6qLREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGBQh4ObmxvD48WPw1Zf///8n2k0gtaDrMk1MTBh4eXmJ1jeqcHCB0cVlgys+Rl0zGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCo2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEBk0IkHJaGbKjk5KSGEAYWWyUPfTA6LWYQy/ORl08GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCNAeji8toHsSjFoyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDQA6OLy4ZenI26eDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgI0ByMLi6jeRCPWjAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgJDD4wuLht6cTbq4tEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREKA5GF1cRvMgHrVgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhh4YXVw2CkZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BDDA6OIyjCAZFRgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYFRMLq4bDQNjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIYIDRxWUYQTIqMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMApGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERsHo4rLRNDAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIYABRheXYQTJqMBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMApbRIBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCoyEwGgKjITAaAsMhBP7+/cvw8uVLMP7w4QMDiP/582eGP3/+MHBxcTGws7MzcHJyMggICDBISkoyCAkJDQdv0wyMLi6jWdCOGjwaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAixD4/v07w+nTpxkuXbrEcOXKFYarV68y3L17l+HVq1fgBWXE2snBwcEgIyPDoK6uzqCjo8Ogra3NYGRkxKClpcXAyMhIrDHDVt3o4rJhG7WjHhsNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B4REC//79Yzh58iTDtm3bGA4cOABeWPbz50/wyWOgRWG6uroMISEh4NPIpKSkGMTFxcFyTExMDLy8vAwsLCwM3759YwDp+fHjB8O7d+8Ynj17xvD8+XOGx48fM1y7do1hx44dDP39/Qy/fv1iEBUVZbC1tWVwdHRk8PPzY5CTkxseAUmiL0YXl5EYYKPKR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BOgTAkePHmVYunQpw8aNG8GLwZSVlRkcHBwY0tLSGOzt7Ula9AW6FhOEQS4HXYkJOqUMxEbGoOszL1y4wHDo0CGGgwcPMtTU1DDk5eUxGBsbMwQHBzPExcUxgBavIesZzmym4ey5Ub+NgtEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYWiHw5csXhmnTpjHo6ekx2NjYMIAWmKWnp4OvwLxz5w7DnDlzGGJjY0laWEZsCIBOODMxMWEoKioCL2gDXbMJOi0NdFVmb28vg7y8PENQUBDD7t27iTVySKsbXVw2pKNv1PGjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMDxCALSobOLEiQyqqqoMxcXFDBoaGuBFXBcvXmSoq6tjAF19SW+fsrGxMXh4eDDMnDmT4enTpwzLli1j+Pz5M4O7uzuDvr4+w+rVqxn+//9Pb2fRzb7RxWV0C+pRi0ZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNATQQ+Dfv38M06dPZ1BQUAAvIktJSQEv5Fq1ahWDi4sLuvIB44MWmoWGhoIXvJ05cwbs3vDwcAYLCwuG06dPD5i7aGnx6OIyWobuqNmjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARwhsC5c+fAi7Py8/MZEhMTGe7fv8/Q3NzMICQkhFPPYJAAXZO5ceNGhrNnzzJwcXGB/ZCZmcnw4cOHweA8qrlhdHEZ1YJy1KDREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BYkIAdJVkV1cXeFEWJycnw/nz5xm6u7sH/aIydGBoaMiwb98+hoULFzJs2LCBwcDAgOHYsWPoyoYsf3Rx2ZCNulGHj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDQC4H3798zeHh4MNTU1DC0trYyHDhwgEFbW3voeQQKGBkZGWJiYhguX77MoKOjw2Bvbw9eKAeVHtIUy5B2/ajjR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAiMhsBoCIyGwGgIDJkQePz4MYOnpyfDp0+fGI4ePcpgamo6ZNxOCIiIiDBs3ryZob+/n6GsrAx8xefkyZMZmJmZCWkdtPKji8sGbdSMOmw0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhk8I3Llzh8HR0ZFBUFCQ4fjx4wzS0tLDx3NQADrFrKioiEFJSYkhKiqK4fXr1wzLly9nYGEZmsu0Rq/FhEbsKDUaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAmxB4/vw5g7u7O4OUlBTDoUOHhuXCMmQQEBDAsHPnToZt27YxpKenM/z//x9ZesiwRxeXDZmoGnXoaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAy9EPj27Rv4Kkw2NjaGrVu3MggICAw9T5ABbG1tGVavXs2wePFihsbGRjJMGHgto4vLBj4ORl0wCkZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhm0IFBcXMzx69Ihhx44dDCIiIsPWn9iAl5cXw+TJkxmam5sZDhw4gE3JoBYbXVw2qKNn1HGjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMHRDYPPmzQwzZ85kmD17NoO8vPzQ9QgFAHQtZlBQEENsbCzDhw8fKDCJ/lpHF5fRP8xHbRwNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BYR8Cv379YigsLGSIiopiCA4OHvb+xQdmzZrF8PPnT4a2tjZ8ygad3OjiskEXJaMOGg2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAkM/BKZNm8bw7Nkzhvb29qHvGQqBoKAgQ21tLfiKzIcPH1JoGv20jy4uo19Yj9o0GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAiMiBP79+8fQ39/PkJmZySArKzsi/EwIgK7HFBMTY5g6dSohpYNGfnRx2aCJilGHjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDwCIE9e/YwPHr0iCE1NXV4eIgKgI2NjSExMZFh0aJFDL9//6aCibQ3YnRxGe3DeNSG0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYBaMhMBoCoyEwGgKjITAaAqMhMKJCYMWKFQyWlpYMGhoaFPn748ePDAUFBQzfv3+nyJzBohm0uOzVq1cM+/fvHyxOwuuO0cVleINnVHI0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOA1BA4fPgwg6urK6naMNR/+fKFYeLEiQw/f/7EkKOHgLa2NlUXgsnLyzOoqKgwHDlyhB7Op9iO0cVlFAfhqAGjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCsBB48+YNw927d8Enl8HEqE2/ffuW4f///yQZC1L/8OFDkk5Be/fuHcOvX79IsoeQYisrK4bjx48TUjYo5EcXlw2KaBh1xGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMjxAALeACLeRSV1enuod27twJvmoTZLa4uDhDUVER2I7Q0FCG1NRUMBtE/Pnzh0FSUpJh7dq1IC7D1q1bGUDqzc3NGQQEBBjy8/MZ/v79y3D9+nUGDg4OlJPRfHx8GCZNmsRgYGDA8PLlSwZ/f3+GBQsWgM2hBqGmpsbw4MEDahhFczNGF5fRPIhHLRgFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjJwRAJ5eBfCssLAyiqIqrqqoYGhsbGV6/fs1w4cIFhjlz5jCcO3eOISwsjGHdunUMv3//Btu3b98+hm/fvjF4e3szPH36lAG0+GzevHkML168YLh//z7D5s2bGaZOnQo+/Qz9yk3QSWWghWcg80EL0jZu3MiQkJAANpcaBChcQCevUcMsWpsxuriM1iE8av5oCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjKAQ+P79O9i3nJycYJpaxL9//xiWLVsGXkgGWlx269YtBnZ2doYbN24w+Pr6MoBOKwMtKgPZt2bNGobg4GDwqWQrVqwAn1oGOpEMJCclJcUQGRnJsH79ehCX7piHh4fh69evdLeXHAtHF5eRE2qjekZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASwhoCgoCBY/P3792CaWgQTExMD6BQxBQUFBtD1lhMmTGBgZmYGGw+62jIkJIQBtKgMtMgMtHAsJiYGLAe6ghKkHsyBEiAznj9/DuWhUrDTz2gFQKeWCQkJ0cp4qprLQlXTRg0bDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwokMAdO0jKABAp4uJiYmBmFTBoOsva2trGU6fPs2gp6cHNlNZWRlMgwjQYjLQ9ZigE8tAp6Y5ODiAhBlEREQYDh8+DGbDCNCVl3JycgyMjIxgIdA1mGAGAwPD3bt3YUyaAFC4wMKIJhZQ0dDRk8uoGJijRo2GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbASA8BVVVV8HWU58+fp2pQPHz4kAF0Kpq6ujrYXNDpZPfu3WP4//8/mG9vbw+2t7i4mCE6OpoBdNIZSMLb25vh8uXLDJs3bwZxGd69e8ewdetWhoiICAZFRUUGFhYWhlWrVoHlVq9ezfD48WMwGwRYWVkZPn36BGJSDYMWyenq6lLNPFoaNLq4jJahO2r2aAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIywEGBnZ2cwNDRkOHbsGFV97uvry6ChocEgKysLXhQGWgiWlpbGUFpayvD06VPwYrKoqCiGa9euMSQmJsLtNjExYejs7GQICgpiUFFRAev18PBgiIuLgy9GS0pKYhAVFWWYN28eg7u7O1wv6KrN+Ph4hqVLl8LFKGGAFsKdOHGCwdLSkhJj6KaX8T/IxXSzbtSi0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgFoyEwGgKjITAaAqMhMBoCAxUCoaGhYKtBC7PADBoRoOsrFyxYwPDgwQMGZmZmqtoCMlNAQIABhEEGP3v2jEFSUhJ8xeWUKVMY1q1bx7Bv3z6QFAr+8OEDw+3btxmUlJQY0K+l/PjxI8Pv37/BV2iiaGJgYADp4+HhAZ9wBuJTgg8ePMgAuq4TdJKajo4OJUYR1Au68nPlypUMoKtCCSrGrmD16Mll2ANmVHQ0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOAzBAAnRwGOk1s9+7dZJqAW5uCggJ8YRlIlZSUFANocdjx48cZJk2axFBYWAgSxsCgxWimpqYYC8tACvn5+bEuLAMBkD7Q1ZkgNqV47ty5DCA30HphGaXuhOkfXVwGC4lRejQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ4AqIQA6HczOzo6hv7+fKuYRMuTRo0cMeXl5DDk5OQyg6zMJqR8I+SdPnjCsWbOGISUlZSCsJ8tOFrJ0jWoaDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BPCHQ1NTEYG9vz7Br1y4GNzc3PCopl9LT02M4ffo05QbR0ATQVaHi4uIM8fHxNLSFukaPnlxG3fAcNW0UjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgADAwPo5DLQKWJFRUUMP378GNFhcuLECYbFixcztLa2MrCzsw+ZsBhdXDZkomrUoaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwtEJg6tSpDM+ePWMoKysbWg6nomu/fPnCEBcXx+Di4sIQGRlJRZNpb9To4jLah/GoDaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwIkNAVlaWYdq0aQxTpkxhWLly5YgLg3///oGvwfz8+TPDwoULGRgZGYdUGLAMKdeOOnY0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsCQCoGIiAiGkydPghdZiYiIMDg7Ow8p91MCcnJyGLZt28awa9cuBnFxcUqMGhC9oyeXDUiwj1o6GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAiMnBHp7exlCQkIYAgMDGfbv3z/sPf7//3+GkpIShlmzZjEsX76cwdbWdkj6eXRx2ZCMtlFHj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDQCQEmJiaG+fPnM3h7ezN4enoyrFixYug4nkTw69cvhpiYGIbJkyczLFq0iCEgIIBEEwaP8tHFZYMnLkZdMhoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwCkZDYDQERkNgNARGQ2A0BIZtCLCysjIsXbqUITs7myEqKoqhoqKC4ffv38PKvw8fPmRwdHRk2LJlC8PWrVvB/hzKHhxdXDaUY2/U7aMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwhEIAdIIZ6IrMOXPmMEyZMoXBzs6O4e7du0PIB7jBmjVrGAwNDRk+fvzIcOzYMQYXFxfcioeIzOjisiESUaPOHA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHhEgJJSUkMp0+fZvj+/TuDrq4uQ3NzM8PPnz+HpPfu37/P4OvryxAaGgrGIH9pa2sPSb+gO3p0cRl6iIzyR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BGgeApqamuAFZo2NjQxdXV0MOjo6DEuWLGH4+/cvze2mhgWvX78GX+0JWkh27949hv379zPMnDmTgZOTkxrGDwozRheXDYpoGHXEaAiMgtEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGHkhwMrKylBaWspw/fp1Bmtra4bExEQG0GKtBQsWMPz48WNQBsjjx48ZysrKGJSUlBjmz5/P0NbWxnDhwgUGBweHQeleShw1uriMktAb1TsaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAcQjIyMgwgBaUgRaZWVpaMqSnpzNIS0szFBYWMly9epVi8yk14Pfv3wxbtmxh8PPzY1BUVGRYvHgxQ0NDA/hKzIKCAgbQIjlK7RiM+kcXlw3GWBl102gIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMwBBQUVEBnwb26NEjhpKSEoaNGzeCr8sEXaFZU1PDcObMGbpdm/n582eGTZs2MSQkJDBISEiAF5Z9+/aNYfny5QwPHz5kKC4uZuDi4hrWscT4/////8Pah6OeGw2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYBaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhAA6B0NBQML169WowPdiJf//+MRw9epRh3bp1DOvXrwcv6uLn52ewsbEBYyMjI/DiMykpKYq88ufPH4bbt28zXLlyheHEiRMMhw8fZjh//jwDyH7QSWpBQUEMIKygoECRPfTUzMjIyLBy5UqGsLAwcq1dzUKuzlF9oyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQMsQYGJiYrC1tQXj/v5+8OKvgwcPMhw6dIhh8uTJDM+ePQNbLyQkxKCmpgY+YUxWVpZBTEyMAbQIjZ2dHXy6GIgGnUQGWkQGoj99+sTw+PFjhpcvXzKATkm7desWw69fvxhYWFgYQKek2dvbM5SWljLY2dkxiIuLg+0YicTo4rKRGOujfh4NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BIRgCOjo64JPKsrOzwa5/+/Ytw+XLlxmuXr3KcOfOHYYXL14wXLhwAbxoDLSA7OfPnwxfvnxh+P37NwMPDw8DKysrAy8vLwMfHx+DtLQ0eDGaoaEhg4aGBoO2tjaDlpYWA2ghGtjwUcAwurhsNBGMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwCgYDYHREBgNgdEQGA2B0RAYkiEgLCzM4ODgAMa4PLBq1SqG8PBwBtCJZbjUjIpjB0zYhUdFR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERjIYXVw2kmN/1O+jITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyGAA4wuLsMRMKPCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMJLB6OKykRz7o34fDYFRMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgI4wOjiMhwBMyo8GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCIxmMLi4bybE/6vfREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RDAAUYXl+EImFHh0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYFRMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwksHo4rKRHPujfh8NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQEcgAWH+KjwaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAzLEAgNDR2W/hr11GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCKxevXo0EEZDgKpg9OQyqgbnqGGjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAoM9BNasWcPw5MmTwe7MUfeNhsBoCIyGwGgIjIbAKBgNgdEQGA2B0RAYDQGiQwDUxwH1dYjWMKpwNASIBKMnlxEZUKPKRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGTwgUFhYyhIWFDR8PjfpkNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYESHwKpVqxjCw8NHdBiMep42YPTkMtqE66ipoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMKTB6OKyIR19o44fDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0B2oDRxWW0CddRU0dDYDQERsFoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwJAGo4vLhnT0jTp+NARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEaANGF5fRJlxHTR0NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYEhDUYXlw3p6Bt1/GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAKBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQoA0YXVxGm3AdNXU0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGNGAZ0q4fdfxoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgI0DgEZs2axfD69WuwLZqamgxBQUFgNiFi165dDKdPnwYr4+TkZCgqKgKzCRGnTp1iOHz4MMO5c+cYvn79yqCmpsbg4ODA4OXlRUgrTeQvXbrEsH//foa4uDgGQUFBho0bNzL8/PmTISwsDKd9xKjBqZmKEtu2bWP49OkTQ0REBIapgy2cMRxIggC6P9H5JBg1qnQ0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARQAOP/////o4iMckZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgGIcAIyMjw8qVK/EujkL2vra2NsODBw8YpKSkGDw9PRkmTZqELA1mq6qqgheAzZ49G8wHEc3NzQyLFi1iePnyJQMrKyvD27dvQcI48Z8/fxgqKysZenp6wGpAC7lAQ/gfPnwA8z08PBiWLVsGXuAFFqATMW3aNIbs7GyGa9euMYAW15mamoL9cu/ePbALjh07xrBv3z6G1NRUBnFxcbAYuhqw4AAQoEV5d+/eZXj8+DHc9oEOZ2zhBXccmQx0f6LzyTR2VNtoCIyGwCgYDYHREBgNgdEQGA2BIRQCq1atYggPD2cA9SEIOTs0NBSsZPXq1WB6JBCkhM9wCg9S+79Y/L569FpMLKEyKjQaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCyCFgZ2fHcPv2bawLyxYsWMBw584dZOVgdm1tLVhPYGAgmE+IAJ0EBlpYBloYdOPGDYZ3796BT0w7cOAAQ0xMDMOOHTvAp4cRM1lEyC5K5HNychjKysrgRoBOWQP59fnz53AxdDVwiUHAGOhwxhZegyBYRp0wGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCWMHotZhYg2VUcDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARwh8CTJ08YGhsbwddeXrx4EbdCImVAJ3+tX7+ewdHRkWHPnj0MTEyQveEsLCwM9vb2DFZWVgxnzpxh2LJlC8ORI0cYbG1tMUz+9+8fXB+GJBUF4uPjCZpGSA293Iru0KEUzuhuB/EHKtxAdo/i0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgZEJIL3Tken3UV+PhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGAFkh8PnzZ4Zbt24x8PPzM4CugCTLECRNoCs0Qdy2tjasC8RA12rOmjULfHIZ7JpMkPrr168zeHl5MYiKijJwc3OD3bJ27VqQFByDrqsEnST27NkzhqioKAZ5eXkGZWVlhqSkJIavX7/C1YEYp0+fZgBdkaOkpMTg4uLCMGXKFIxrdfLy8hgSExNByhnS0tIYZsyYAWaDzAPJgTggGqYGxAdharsVdKIb6LpONTU1BllZWYbIyEiwW/7+/QuyDise6HDGF17JyckMoEWLID+B4hPmAWLCDaYWHw1KN1lZWQw6OjoMEhISDEFBQQzbtm1D0QKKN1zuQFE4yhkNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYMWD05LIRE9WjHh0NgVEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFArRDQ1NRkOHjwINg40JWYqqqqYDa5xPnz5xnExMQYLCwscBoBOq0MhGEKQCeYeXh4gBeWpaenM3BycjJs3ryZISQkhKGpqYkBdFUlSO2FCxcY3rx5w7BhwwYGRUVFhoiICIaTJ08yzJ8/n+Hjx48MsMVooMVa3t7eDBwcHOCFR6DT00BmCAgIgIyB4+PHjzO8ffsWzAct7Lpy5QrDgwcPGEBsFRUVsDiyGpAAtd26f/9+BldXV/DiPtCCOREREYbdu3czZGZmMty7d4+hq6sLZC0GHuhwBoURtvC6dOkSw4sXLxhA4Q9iGxkZgd1ObLiBFeMhQIvWQGnn9evX4AWKoEWRO3fuZPD19WXo7e1lKCgoAOsG2Y3NHWDJUWI0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgRILRxWUjMtpHPT0aAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMFhCALTgB7TIy8zMjGgn/f//nyE/P5+BnZ2d4ejRowxSUlJgvWVlZQygBWctLS0M4eHh4AVfIAnQ4q/y8nKG9vZ2BkZGRgbQ9YqgE9f27t0LkgZj0AIjkHlnz55lUFBQAIuVlJQwGBgYgNnYCJA86KQw0GKyiooKrGpp4dbly5czgK4MvXv3LgNs8RvIf6AT10AL7LAtLhsM4YwvvG7evMng7u7OsHLlSgYNDQ3wiXGkxDG2+IGJgeIGlAZOnDjBYG5uDhYGXevq6enJAAq3uLg4BiEhIbA4ujvAgqPEaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwIgFo9dijtioH/X4aAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBgCIFv376BnQE6uQzMIII4d+4cAwg7OTnBF5aBtIGuz0xISGD49esX+CQvkBgIg041a2hoAC8sA/FBp5JZW1uDTy4DnWoFWnR08eJFBtC1ibCFZSB1oBPZYmNjQUyyMcidIEwtt4IcUlRUxAC6whO2sAwkBvIziP/p0ycQFwMPhnDGcBSaAOjaTtDCMpAwKMxAmNhwA+nBht+9e8ewbNky8JWpsIVlIHVsbGwMoCtTQeG2bt06kBAcI7sDLjjKGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBiRYPTkshEZ7aOeHg2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYBaMhMBoCoyEwGgKjITBYQkBWVhZ8FeWzZ8+IdtLt27fBau3t7cE0MgG7UvHWrVtwYdDCNdB1l3ABBgYGQUFBMPfLly8MN27cALOxnVKmra0NliOXoLZbQe4ALcACXc0JutIRdGoa6FQukD2ghWWwU9xA6pDxYAhnZPegs0VFRcELwGDiIP+A2MTGMUgtNgw6iQx0ehwonkGn2SGrAYUXiA86AQ5EgzC6O0Bio3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNg5ILRk8tGbtyP+nw0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYBCEAOgUMdAJYaAFPr9//8bpItD1lyIiIgyVlZUMb968AatDPmUMLMDAwPDz508wk5mZGUyDCNDJZSAaGwYtPAKdbgWSQ9YD4oMw+qI0kBgpmNpuBdnd3d3NICMjwwA6YQsUZi4uLgwLFixgAJ3GBpLHhgdDOGNzF0wMdCUpjA2iSQ03kB5sGLQIDyQOMh90sh0yFhYWZoiOjmZAXkAIUgdSP4pHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkMABEZPLgOFwigeDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgQEMARMTE4bLly8zLF68mCEpKQmrS+bMmcMAWihkamrKAFsAdPjwYQYfHx8U9aCTvEACSkpKIIoorKioCFZ38OBBhsDAQDAbRoBOBYOxyaFhZlPLra9fv2aoqKhgAJ2wBTrdi5eXF+6s1tZWOBsbY6DDGZubcIlRK9xg6QC0gHHJkiUo1v39+5fh8+fPDFxcXCjio5zREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RCAgdGTy2AhMUqPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwACFQEtLC4OAgABDXV0dw5UrVzBcsXv3boYVK1YwgK6D9Pb2ZjA0NGRgY2NjAImjKz5w4AAD6AQyd3d3dCmcfNCiK9CJVvv27UNR8+fPH4Zly5ahiJHKobZbHz58yPDv3z+GoKAgBuSFZY8fP2a4cOECXucNdDjjdRyaJLXCTUVFBbwQb+fOnQygU96QrWlvbwdfj3rq1Clk4VH2aAiMhsBoCIyC0RAYDYHREBgNgdEQGA2B0RCAg9HFZfCgGGWMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwMCEgJSUFEN/fz/D06dPGSwtLRlKSkrAi7qWL1/OkJubywBaUAY6rWzhwoXgU8tA6nNychjOnz/PkJWVBV6QdvPmTYb6+nqGNWvWMMTExDCATqoi1jeysrIM2dnZ4NPTkpOTGc6dOwc2OyQkhOHjx494jZGXlwfLz5o1i+H06dNgNjJBbbeqq6sz8PDwMKxcuZJh8+bNDKDTy0BXYlpZWTHw8fExfPnyhQEUFshugLFBbhnIcAa5g1B4gdSAMMit1Ihj0CJE0CKyT58+gdMFKG7v3LnD0NvbywBabOfq6or3OlGQW0bxaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwMgFo9dijty4H/X5aAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAgCoGEhAQGcXFxhry8PPDCH5jTGBkZGZydnRnmzp3LICcnBxNmAC0YAl1rOHHiRIbp06fDxTMyMhhAYnABIhkdHR0MX79+ZZg9ezbDvHnzwLpA9k6aNIkhNjYWzMdGgBYnWVhYgN1w/fp1hv3792Moo6ZbQaeVgdwHuj7Uz88PbJeQkBB4cR43NzdDfHw8g46ODsYpXWCFDAwMAx3OxIQXzK3UCjfQgsFv374xlJWVMaxatQpsPAsLC0NKSgoD6CpRUBoDC44SoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhgAYY/////x9NbJQ7GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAsM2BEALaUCnXoWFhRHlR21tbfCiru3btxOlHl0RaLHTli1bGN6+fYsuhZUPGrYHXf0IWqjFz8/PoKuri3L9I7qmV69ega+DBJ1spqenB77mEF0NKXzQ9ZKXL19m0NTUZFBUVCRa67Nnz8DuBC3+wqWJmm4FhSfo5DZJSUkGLS0tBlC8guwFib9//54BdB0kiI8LD3Q4ExNeMLdTK9w+f/4MPpEOdLobKF2BTqyD2TFKj4bAaAiMhsBoCIyGwGgIjIbAaAgM7RAAbSIIDw9nALVzCfkkNDQUrGT16tVgeiQQpITPcAoPUD+JlP4vFr+vHj25DEuojAqNhsBoCIyGwCgYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BgQoB0OC/goICAwgT4wYxMTEGNzc3YpQSpQa04AiEiVKMpAh0jSMSFyuTmm4VFhZmcHFxwbAHJA7CGBJoAgMdzsSEF8zJ1Ao30MI/Ozs7mLGj9GgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMyxD4+PEjw+nTp1H8BtpAAxLYs2cPiIJj0CYdW1tbOH+UgQlGF5dhhsmoyGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAighMCFCxcYQCedWVpaMhQWFqLI4eLMnz+fAXTa2alTp3ApGRUfDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RCgcggwMzMz+Pn5MXz//h3DZNA19ciCISEhDKOLy/CD0cVl+MNnVHY0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYISHAOhUMNBVkf/+/SPqihlYcIGuowHpMTExAV8XCRMfpUdDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BGgXAjw8PAy+vr4M69atY/jz5w9Oi0CnGUdGRuKUH5WAgNHFZZBwGCVHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgIjIYA1hDo7+/HKk5IMCkpiQGECakblR8NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREKBuCERHRzOsWrUKr6GcnJwMnp6eeNWMAgYGptFAGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgeESAqBFY3x8fDi9w8rKyhAWFsYAWmCGU9GoBBiMLi4DB8MoMRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAcQgC2eAxEY/PP79+/GaKiorBJjYqhgdHFZWgBMsodDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCoyEwtEMAtHgMtIgMmy8EBQUZHB0dsUmNiqGB0cVlaAEyyh0NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAY2iFgb2/PICYmhuEJNjY2htjYWAYWFhYMuVEBTDC6uAwzTEZFRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BIZwCDAxMTFER0czoF+N+evXL4bIyMgh7DP6gtHFZfQN71HbRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BOgQAqBFZOhXY8rIyDCYm5vTwfbhAUYXlw2PeBz1xWgIjIbAKBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAaQQMDU1ZVBUVISLgK7EjI+PZ2BkZISLjTLwg9HFZfjDZ1R2NARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYIiGQGxsLPxqTNCVmBEREUPUJwMDRheXDUy4j9o6GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQOMQQL4aU11dnUFHR4fGNg4vMLq4bHjF56hvRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2AUjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIQENAQ0MDvqAsISEBKjpKEQtGF5cRG1Kj6kZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGXAjExcUxMDIyMoxeiUk6GF1cRnqYjeoYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGCIhAFpUZm1tzaCgoDBEXDx4AMvgccqoS0ZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARoFQKfPn1i+PjxI4OQkBADNzc3TmtOnz7N8PbtWwYWFsgUAisrKwMPDw8Y8/PzMwgKCjKws7Pj1D8qMTJC4Nu3bwzXr19n+Pr1K8OvX7/gnn7//j2YzcvLy+Dh4QFmYyP+/fvH8OPHDwYuLi5s0qNiQygEfv/+zXDw4EEGJiYmcPkgLi7OAMLMzMxDyBfDy6mg8n7nzp0MsPIb5Ds+Pj4GEAbFDagcB4mN4oEFoPLzzZs3DCD8+fNnhj9//jCAykYQOzg4eGAdN2o7WSEAilN8bSyQoaC8CSsfQXkR1MYSFhZmAGHQiUogNaN4cITAaP0GjYerVxkYQBjKHcqULAMDwwRvbwaGVauGsjdQAai9zceHKkYDHqRnSAODR40cDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQoH8IzJ8/n2Hz5s0ML168YHj58iUDaLEPaFEZaMIa5JoFCxYwxMfHg5hY8eTJkxkWL16MVQ4kuHDhQgbQlTIgNjZ89uxZBtBknKqqKniiFJuaUbHBFQI/f/5kuHfvHhiD0szTp0/BiwsrKytxOvThw4cMJiYmOOW1tLTwLi67ceMGg7a2NnjxC2jBi4CAAHhBkpiYGIOMjAyDhoYGQ3Z2Nk7zRyVoEwL///9nuHr1KsP58+cZrly5AsagMuTYsWM4LQQtRnV1dUWRBy2cAMWlsrIyOJ309/ejyI9yiA8B0EKxc+fOMdy6dYvh9u3bDHfu3GH4+/cvw6ZNm3AaAsrHYWFhOOVB+Qu0OBSnglEJmoYAqI4ELdb+/v07VntA+Qe00AyrJAMDeBGaqKgoAyiPycnJMYDymZKSEgMIa2pqgstPkBm49I+Kkx8CoLy3a9cuhvv374PxgwcPwPTz58/BC/NBbS1QnYprkRgo7nEtvAbpAS3+fPbsGfjaPvJdOaoTWwiM1m/YQoVIsdWrGRgaG4lUPPiVGQ9+J5IGrlxhYNDWJk0PGapHF5eREWijWkZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOAniEAmowELQQALfjQ0dFhMDbGPS3y5csX8IIdc3Nz8GId0ElloIU7oIlsEFZRUcHr9EWLFjFMmjSJATQJB1IIOl0KNAEOMhe0SE1dXR0kjBM3NzczbNy4ESwPOoUDtMhMTU2NAYR1dXUZ7OzsGEDuASsYJQYsBF69esUQGRnJcPfuXYbHjx+DT8sBOQZ04oq0tDQDKJ2B+LgwKF5Bejk4OBg4OTnhykALxYhZ1ABaQLZlyxYG0MIZULp69+4dA8hNoEWRFy9eZHj9+jXexWUg9WfOnGHQ09NjkJCQgNs/yiA9BP78+cMwffp0hv379zMcPnwYfIoS6HRC0CIV0AJAW1tbvIaCFriA4gNkzocPH8CLWkELFEGLLUALokBlB14DRiUxQgB0clVWVhYDKI2DwhC0YAWUt0DlNyjvGRgYYOhBFgCpAZXhsPIbJAeKG5C5oDwGkgOJ4cKgvA1aaGxlZcXg5OTEICIigkvpqDg0BEDpHxRfoDwEWgwIWugNKh+h0igU6ES5OXPmgOtCUD0JCl/Q6VVsbGxgdaDTrMAMHAQoPXR1dYEXkYMW+t68eZNh+/btDE+ePAGX5aAyEZT/cGgfFaYgBEAnNIKu1QPFIehaPUVFRQZHR0cGUL0JiksQBuUv0EIxbNaA9IEW7ILUgBaqgepAUL4ELdIF1Xugk89w6QWZB5IHLbwGlQGgq/0MDQ3Bi8FBcqMYMwRA+XK0fsMMF7JENDUZGK5dI0vrqCYaAdBpcjo6NDIc09jRxWWYYTIqMhoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIDFgKgCUfQQjLQBDXoFDDQJDXoBCHQSRigBR/d3d14F5fl5uYygDAlHqBk8deaNWvAi5VAJ+yAMGjSG0QfOXIEfLoH6Po8QotVKHH7qF5ICIAWFkhKSkI4WEhQHINOuXFzc2MALVgBYRAfdJ0lFuUYQqBrU0HqMSSIFAAtlPEGXUtEpHp0ZSdOnGCA6QctbtLX12cAYdDCSxsbG/DpZ+h6RvnYQwAUl6BFpVJSUgyg0+pAC0BBCxdA4th1oIqCFlvAFsOATlMCLWxCVYGfBzoBCLTgydLSEr/CESQLWmgEWpQHuhrR1NQUfPobaPEKqUEAWtwEwiB9sDgCLcgE8fFh0ELPo0ePMkydOhW8WAm0gMXFxYXB39+fwcLCYvRUJWjggepq0EmhoIWZoDoOFGegk6dApzqCFhDhK4OjoqKgppBOgRahpaamYmgEXVEMOnkQtLgTQ3JUgGAIgBbnbd26lQF06h8sv6BrAi38AtWvlFzpDKp/YeaCFhbC2MTQoIW8oJPNQIuzQQvSQGUFqOwEtas8PT3B7UOQG4kxaySoAdVjo/XbSIjpUT/SAzD+B/VS6WHTqB2jITAaAqMhMBoCo2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgEIQAaNJt5cqV4MnDQeAcDCdMmzYNfGITaJGPkZERA2hSH7TQA0SDThICnXqBoWmICIBOqAJNyOLzw86dO8F+Bi0YGiLeGhTOBC1ABC3cA11fCFqYCFpcADoFBXRy3aBwIA0c8ebNGwbQKWcgfOnSJQYQvnz5MvjKONCpT6CFMTSwdtRIKocA6MrMoqIi8OLA9PR0htjYWAbQggkqWzOojAOdRgmqi0ALHwaVw9AcAyqzQQun9uzZwwAqm0FXcsrLyzN0dnYyhIeHo6keWVzQ4rDly5czgBZUgk53s7e3Z3BwcGAA1dODPSR2797NAFqoHhQUxABawAjyw2B3M63cB6o/NmzYAL5OHLSYH9RGAV17CTq1j1Z2UsNc0BIP0OJGUH0PWth44MAB8Ml1oPgELfKnhh2jZlAeAgNRv61atQpcPoPSCCEfhIaGgpWsBl17CWbhIBoaGBhWrRo9uWywAdjJZURciwlqc1DY/109urhssCWAUfeMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCNA0BKgwuE5T94FO8AFdUwhaTDbYFx5QOyBAp66ATgsBXeVmZmbG4OvrCz6dCnQiFbXtGg7mgU5YAU2K79ixAzypDLr2FDQhDsKg07tANOiEm+HgV2L9ALoy7NSpU+DFSaATn4jVN5zVgSaYQSfckHpCDj3D5OTJkwwzZ85kAE18ghZ3lJSUgBfZDrdFZqATh2bNmsUAwj09PQygBUr0DGdK7bpw4QLDihUrGNzd3cFXAVJq3lDWv2/fPvB1hKCrCYm5Cngw+RWU30CLy0BXaYKuDfTz82NISUlhcHV1ZQCdRDiY3EoLt7x8+ZJh6dKlDAsXLgQvSgZd0+zj48MACgfQFZew0/5oYTctzQTlT1D7CXS6IC3tGUxmj9ZvmLExurgMM0yGrQidF5cxDduAHPXYaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAyiEABN4G7bto2htrYWr6skJCQYQItiRtrCMlCggBZCgSZ9QaduaGlpMUyaNIkBdGqbgoICQ1VVFQPolA6QulEMCQHQxDjoxLK0tDQG0IIq0HVZoDRWU1MDPkEHFJ4QlSOH5ObmBi96AeUhfL4GLe6ZN28ew4cPH/ApG/JyoEUkoIWaoBOKBrNnzM3NGUDx8fDhQwbQdX+tra0MioqK4AVn//79G8xOJ8ptoBO/4uLiGEBl2fTp0xkSExMZQNePEqV5ECkClccdHR3gPDaInDUgTgGdVgaKw6G2sAwUWKD8BqpnQadbzp49mwG0qN3Dw4NBWVmZYcqUKQzfv38HKRu2GOT3pqYmBlA4gE79evToEQMoX4KulRyqC8tAkQXKnyNpYdlo/QaK9VE8GgL0A6OLy+gX1qM2jYbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyC0RAYDYHREBiBIQC6pg905ZusrCwD6GQM0NWFw33ilpJoBp1UFBgYyDB37lwG0Ck/oMnDyMhI8CkjhYWFlBg97PSCThA6fvw4eMEiaDHVSDhxhlqRCLoKLTs7mwG0mDMgIIBh1apVDD9//qSW8QNuzvv37xlAV0yCTq8DXbELWqg54I4iwgGg09Xa2toY7t+/zwBajAVa8PH3718idA5OJaBTKEEnQoGuSgQtAAWVa6CFLKDFc6DTkganqyl3FejaT8pNGTgTbt68ydDe3j5wDqCTzaBTAkH5DHS1ImjxNqiNUlFRwQBa5EknJwyINaDFnc+fPwefIAg6eQ50ou2AOGQALAWdztbV1cXw+fPnAbCdOlaO1m/UCcdRU0ZDgFQwuriM1BAbVT8aAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCBEIAdNLO5s2bGZydnRn09PQYQOzMzEwG0Ok1hw4dYuDk5CRgwqg0KARAi6VApy6BJvlBi02WLFkCEh4RGLQAZdeuXXj9CgofvApGJXGGwNSpUxlAp+SBrmIELSqLjo5mkJOTYwCd+gZaEIRT4xCQAJ3EAzrBZtOmTQyLFi1iAF3fB+IPAafDnSgsLMzQ29vLcPr0aQZWVla4+FBifPnyBXzy4v79+xnmzJnDcPXqVYbY2FgGdnb2oeQNkt0KWqgJusr4wIEDJOsdaA2gRSsFBQUMurq6DIsXL2YA8QfaTfSyX0NDg2Hy5MkMoEVXIDa97B0Ie0CL6kZiOwxU16mpqTGAFreqqqqCT2sbagtBR+u3gcgxo3aOhgAEjC4ug4TDKDkaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCVAsB0OS0v78/A+hawp07dzLcunWLoa6ujkFJSYlqdow0g0ALqUCnGg13f4NONwKd3AZKK+Xl5cPduwPqPz4+Pob4+HiG7du3g0/qycjIAF/NCFoUOqAOo8By2JWFoEWtoFMTQYvmKDBuwLUO1YVloIADncK4bt06hmvXroHT2VC8PhHkD1IxaEEw6HpF0LWRCQkJDJ8+fSLViAFRDzpVDrTwZvny5eCrIUH5R1BQcEDcMpCWgk46HEj7qWE3aIEw6KpPapg1nMwALWzt6elhuHfvHgPoRFhQWxW0kJLQQvbBEgaj9dtgiYlRd4xUMLq4bKTG/Ki/R0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARoFgI5OTngBQWgRStubm4MI+nKJZoFKgGDQafFFRcXM9y4cYOAysEpff78eQbQdVXm5uYMoEnxZcuWMYAWmg1O1w4/V0lJSTE0NjaCF5mBThocij68ffs2+EQa0JVnoFPLRsJizMEeT/b29sP+pDL0OFBQUACf1rl27VqGHTt2MBgbGzOAyjd0dYOF//r1awbQ1bhpaWngk+VAi8FB7JGyGHCwxAM13PH//3/wldqgBVPNzc3UMHJYmgE6GbK/v58BdBWqjo4Og4eHB0NqauqgXgg6Wr8Ny6Q46qkhBkYXlw2xCBt17mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbA4A8B0Oknw/1aqcEWC6CrvECnb4AmlbOzswf1JCly2D19+pQhPDwcvAAD5IetW7cyHD9+nCEsLGzIXgeI7L+hxgadlKWurj7UnA12L+iaM9CJNIWFhaMLWsEhMkoMZAiATmC8cOECg6ysLIOVlRX4msmBdA82u9+8eQO+uhrkTtD1sX19fQz8/PzYlI6KMTAwgK56TUlJGZTXhYKuMPXx8WFIT09nALkRdELXaKThDwHQCalr1qxhAF1lCzpl98mTJ/g1DKDsaP02gIE/avVoCEDB6OIyaECMUqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgJDNwSkpaUZLl68yDB79mzwRClokRlosnSw+2jx4sUMZ8+eZQBdnwc6qczLy2uwO3nUfYM4BERFRQex66jntGfPnoFPm3r58iX1DB01ieohICEhwbB7926GvLw88NWg69evp7odlBgIOt1vwoQJ4LoDdMocJWaNBL2gBdCgRdygxYKghayDxc+gE7hAp35eunSJ4dChQwyghWWcnJyDxXmD3h0hISEMd+/eZdDS0hrUbh2t3wZ19Iw6bgSA0cVlIyCSR704GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIUDdEABNwoFOOaGuqaOmURoCTExMDAkJCQxXr15lAE00e3p6MmRlZTH8+vWLUqNpph90lefly5fBC2VGr0+lWTBTzWDQCUcODg4Mg/mEF6p5dhAbxMLCAr56GLQY88ePHwPmUtBJTlOnTh0w+4eCxaDrJTs7OxmWLFnC4O7uPuicDDo5cvS0MuKiBXR61IkTJxhAC7csLS0ZQHUXcTppp+rgwYMMILeAFh6dPn0afEoe7WwbviaDTu0cvr4bWj4bLPXb0Aq1UdfSA4wuLqNHKI/aMRoCoyEwGgKjYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2DYhABoIhO0cKmlpWXY+Gm4eURMTAx8etnKlSvBCxpAC1D+/fs3KL0JmtAFTdQPSseNOgojBNjY2Bhev34Nvsb0wIEDGPKjAvQJAVAe37FjBwPo9KSSkhL6WIpmy9+/fxkiIyMZmpqaGN69e4cmO8pFD4GoqCgGLi4udOFR/hALASkpKfDpYJqamuDFgqA8OFBeAF1r6ufnx+Dq6soAWvAPOilvoNwyau9oCFArBAZD/UYtv4yaM7zA6OKy4RWfo74ZDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREKBhCIBOXnFzc2NwcnJi2LJlCw1tGjWaGiEQGhrKcPToUfB1bKBTzahh5qgZIzsEQNeGgU7usbW1BS9omDlz5sgOkAH0vZKSEgMo/KdNm8awdetWurukvLycYc+ePQwbNmxgEBISorv9oxaOhsBAhQAPDw/Dxo0bGUCLuUCn0Q3U4krQtaZr165lWLZsGQM7O/tABceovaMhQPUQGOj6jeoeGjVwWIDRxWXDIhpHPTEaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQOsQ2LRpE0NiYiJDfn4+A+hErNETWGgd4tQxX1dXlyE2NpY6ho2aMhoCDAwMvLy8DKtXr2aoqalhyMzMZJg7dy7dw+Xs2bMMg/U0PnoGRlhYGAPoWsOCggKG379/081q0AmW/f39DDNmzABfyUc3i0ctGg2BQRICoKtEt2/fzvD9+3dwOThQznJxcWEAnQA6UPaPBHtfvHhBV2+O1m+Q4B6o+g1i+yg5GgKYYHRxGWaYjIqMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjILREBgNgdEQGA0BlBA4fPgwQ0REBENycjJDV1cXAyMjI4r8KGc0BPCFAOhUlW3btuFTMio3xEIAVAbU19cz1NXVMaSlpTGsWLGCbj64f/8+g7W1NcPy5cvpZudgtqi9vZ3h8ePH4IVe9HAnaDFNSkoKA+i63fj4eHpYOWoHFULg8uXLVDBl1AjkEBAXF2eYP38++DRXZPFR9vAJge7ubgYLCwuGDx8+0MVTo/UbajDTu35DtX2UNxoCqGB0cRlqeIzyRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQwAlBL58+cIQExMDvgJv6tSpKHKjnNEQIBQCt27dYkhNTWU4cOAAIaWj8kMwBBoaGhjy8vIYSkpKGH7+/EkXH0yZMoVBSkqKAXSqCV0sHOSWKCgoMKSnpzNMmDCB4f///zR37bx58xiePXtGt8VsNPfQCLAAdH2poaEhw4MHD0aAb+nrRVdXV3D+o6+to7bRKwRAJ/Z++/aNAbTIiR52jtZvqKFM7/oN1fZR3mgIoILRxWWo4THKGw2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQGUEHjy5Al4IcesWbMYmJmZUeRGOaMhgC8E/v79C75KVV1dnaG1tRWf0lG5IRwCoNMMT548ycDOzk5zX/z69Yth8eLFDElJSaNXwSGFdnl5OQNoARHoRDkkYaozQXm6r6+PAXRimbS0NNXNH2kG7t69m2HOnDk093ZzczODs7MzA2ihBs0tG7VgNASGUQiIiIgwlJWVMUyePBm8qJaWXhut37CHLr3qN+y2Uyb68OFDBlD5GxcXxxAcHAxeiL9r1y7KDEXTffz4cfD15C9fvkSTGeVSG4wuLqN2iI6aNxoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwrEJAQ0ODATRxAbr+aah57OPHjwwFBQUMoGvc3rx5A2bT63SloRZWtHAv6NrC06dPMyxYsGB0IRAtAniQmMnKyspAr4VG+/btYwDlZdDipkHifZKcAcoT69atI0kPMYpBJ7kpKioSo5QiNaDFZTk5OQzFxcUUmUOOZuTyHJmNzyxkdaB0A6oPSK0DyNWHz10wOVD5CFo48efPH5gQ1enz588zHDp0iKG6upqqZtMyXLA5dLDHJTY3j4oNjxDIzs5m4OfnZ5g5cyZNPTTU6zdaBQ696jdqu3/u3LkMoD4U6PrwnTt3Mhw9epSht7eXwd3dncHKyorh06dPJFt57NgxhpaWFgbkhWSgq+dBV1Xfvn2bZPMGiwZs/hosbkN2x+jiMuTQGGWPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwDAKAdCVnhMnTgRf1wdaUHD27FmGf//+DSMfkucV0GI70EKD69evk2cAkbpAE7EBAQEMenp6ROqgTJm2tjbD/v37sRry9OlTBltbW/BCQ6wKkATxmYOkDCsTNAkNOuWEFPuwGoRDENlttLIDh9WDQvjw4cMMoJPwZGVlB4V7SHXEkSNHGE6cOEGqtkGjno2NjaGwsJBBWVmZ7m5CLs+R2fgcgqyO3DoAXR9yHsRnNzFygYGBDO/evWMALTIjRj05ajZv3swgKSkJLv/I0Y+sB9nv6OGCrI4W7MEel7TwM7qZ165dYwAtskMXH4p85LSE7n5i6zaQOtBpjR8+fEA3gqp8Tk5OhpCQEIaNGzdS1Vx0w2hRv+ELZ3T7qcUfCDup5XZqmXP16lWGrKwsBlVVVQbQoi/QYrAXL16AF8eDTl4FbdoB0aTaB0ojtbW1DM+fPydV66BWP1T8Nbq4bFAno1HHjYbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMxxAALfACXbeJzW////9nAF0jA1oAhU0enxjoSiFcJwGATlYCTV6AJgmRzQCdxINrYpIcN4DMBp1Cg6wXNAn/9etXkBQGfvv2LQPIzxgSDAwM+PyDTT2xYhwcHAzLly9nmD9/PrFaSFZ348YNBtBCmrS0NJL1EtIASj+gSTp0daBFGqAwQxf/8eMHg7CwMHjyCjn+QeZgS4e4zEE3F5n/7ds3ZC74JC9s6Q3kFhCGKQalPZA7YHwYDRIj5DZsaRqUlvDlH3zpHWb3YKZBC7MsLS1p5kRQuGNLWzALccUXSB6fHHr6AKkf6RgU1tjSOCxc8JWNMDWk0NjyC0g/ofIaXR855QPIHmxYU1OTAbRQEnSlKTZ5aojt2LGDwdvbmwG0CIdS85D9jh4uMLMJhSdMHYjGl2dA8rgwuXaj60P2Dy67BpN4YmIi+IpGarqJlPiiZp7EFfag+hFbfQ3yMzH2g8oVfGU4yBxysJ+fH8PFixcZHj16RI52ovTQon7DFc74whIUByAMczRyexYmBqOx5WFcdsL0jAR6w4YN4DY8aCGYiooK3MugtA26CllOTo5h69atDKD8B5ccwgxQvhvCzifa6aOLy4gOqlGFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIUB5CIAmXERFRRlgk+qgK2JgpoImWkDXb5qbmzMICAgw5OfnM4AWw4BO2AItiAIt0oKp9fHxYZg0aRLDyZMnwScDlJSUMMjIyDAICQkxREREYJxQdf/+fbCZoNNP7t69y8DHx8cwZcoUBpBbQJM9oFOtYAvTNm3aBD7pBeQGJycnBtDpAl1dXTCrsdIgM0Fu7O7uBusFmVlRUQG+ikxQUBB8pVJubi5cL+iKHNB1OaBTmEB+LioqAssR6x+wYjIJ0CIDLy8v8GIrMo0gqA10DRsvLy8DKPwIKiZBQVNTEwPo+j9QuIEWCoAWsIG0GxgYgK8J8vf3B1/D+ezZMwZQfIAW0IHUgWhQfILiH6QeVzpENwekFh8GnWQCOhUIZDZo0dPjx4/BypHTG7pbDhw4wHDu3DkGHR0dBtB1T6C0ApqABC0MA2km1m3IdoD04co/oLSJL72D9A4V/ODBAwY1NTWaOBdX2gJZhi++8MnhSh8gM0cyxpXGQWGCq2wEyVGCkfMLKE+AygdiymtkfaSWD8S4F3SyI+hkG2LUkqPm1q1bDIaGhuRoRdGD7nfkcCElPEGG4sszIHlCmFy7kfWh+4eQnYNBHrRo28TEhCpOITb9gyzDlSdB+UdCQgJc94LUga7ABtW3hBZ3oYc9eh2JXl/jsh9kJzLGV4YjqyOHDQt3UByQo58YPdSu39DDGeQGXGGJHgegdgq+tjCuPIzNTpC9Iw3D2oKgdj6630FtcFDfJy8vD+VqTNBCPdBpZ6C2IShfBQUFMWzbtg2uHbRZY8aMGWA+qF8C0g/mkECA4hV0wi6oHQVa2BwZGckAMhPU1wIZA7rCE9QfunfvHoiLgkHXkYOu9IQtiAP1zUB9CVA/ipubm8HU1JRh7dq1KHri4uIYYmJiUMRAnI6ODvBpmiCzqOEvkJl0wf9HwWgIjIbAaAiMhsBoCIyC0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBhBIcDAwPB/5cqVA+LjR48e/efk5Py/fPlysP07duz4z8jI+P/u3bv/nzx5ApbbvHkzWO7p06f/FRUV/0+cOPH/1atX/4Pc/ePHD7AciHB1df3f19f3/8iRI2C57Ozs/z9//vwP09fU1AQ2E6Tv/fv3/+/cuQNW9/nzZzg7LCzs/5cvX/6fPn36v7i4+P/Fixf/h7lxyZIl/79+/fp/5syZYH21tbUga3FimPmxsbH/X79+/X/hwoVgfb6+vv9fvnz5f9euXWA+SA5kiJGR0f8VK1b8//fvH9jNvLy8/8+ePYvXPyB91MKgcJWQkKCWcRjmzJ079390dDSGOKUCgoKC/z98+PD/169f/zs6Ov5bWVnBjQT5B5SmQAKg9ASKe2tr6/8gsStXroDDHxT/sDjGlg5BepHNAfFx4W/fvoHTbHt7O9hNsDgvLS2FpzGQfehuAaUBSUnJ/3V1deA09vDhQ3BaB6U1UtwGS3MwO0B5C1v+ganDlt5x+W2wioPy/LFjx6juPFAY4UpboPDFFV/45PClD6p7YAgZSCiN4yobYfkIVJ4js/F5HVkdKI5BZQIozmBsYsprmFqQPpBdxJYPILXE4OTk5P9ubm7EKCVZDahOBNWxa9euJVkvNg3IfkcOFxibmPAEhSOu/ITNTpjYUIhLUN0ESt8wN1OTBrVVQOkXVsZTajbILGLiC2QPrjz558+f/+bm5v+Dg4PB7RgBAYH/S5cuBWkhiJHTEixusdXXIINw2Q/TByoTQGkQVxkOMoMaeMKECeD2KjXMwmYGLeo35HAG2UkoLGFxcPv2bXD7BltbmFAeRrcTZC89MaiPA0rfxNgZEhLyH4QJqq2v//9fU5OgMpgCUHsO5AZjY+P/+/fv///792+YFFb68ePH/xUUFP5zc3P/z8zM/F9RUfHf0NDwPxMT0//+/n6wnu7u7v+Wlpbgtmx4eDi4fwSSyMnJAYsdPnwYxMWJ9+3b95+Zmfm/kJDQf5CehoaG/6D4BrkT1G4FaQTlXxAf1L4G8WH4wYMHYDtA9oLEQHaB3Apyc3V19f+WlhZwWQDSC+p/gdSAsJaW1n8NDQ0QEwUnJSWBzQPVUbj8haIBF+fKlf//GRj+/wfRuNRAxUFuA6UNKJccahXoqGlyNI7qGQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYEhGQJUGFwn2989PT3/1dTUUPSDJr1Bk7EgOdAkBbJkVVXVfwcHB6IWl4EW7MD0giYqzMzMCC4uA02WwPQEBgb+B02Q9Pb2/gfphYmDaHV19f/ELi67d+8eSMv/d+/egSdOtm/fDuaDCFZW1v9Hjx79//fv3/83btwALywDLTwDTTyJiIiAJ2Vhi+Ww+QdkBrXw7Nmz//Pz81PLOLqZw8bG9h8Uv8+ePQOHH/KCQ+QJTdik86FDh8BuA008g9I+aFIUlNZwpUOQYmRzQHxceMuWLf9BiySQ5fX09P6DJumQ7UN3C2iyVlhY+D9oQhy0YACEQWnd3d39PyluQ7YDpA9X/oGpw5bekd1ODTZoQnTBggXUMIquZoAm0nGlLXzxhU8OX/qghedAk9egcuzUqVO0MJ5qZoLSKq78h69shOUjUL5BZuNzGLI6WD4AlQEwNjHlNUwtSB/ILmLLB5BaYnB+fj54wQAxaklVA3IzyHzQAm5S9WJTj+x35HCBsYkJT3x5BpudMLGhEJcpKSn/XVxcYE6mKg2q80B12MGDB6liLsgsYuILX54EOeTmzZv/ubi4/oPaSbCFJyBxQhg5LcHiFlt9jc9+mD5QmYCvDCfkFmLlQYvxtm3bRqzyQaEOOZyJCUtYHOBrCxPKw8h2UisQSKnfQAuIQOmbGLtBC8tAmKBaEheXgTZAeHp6gvsBILfw8fH99/Ly+t/a2greSIJuH2gzBkjdiRMn4FKghVdOTk7/QW2Tt2/fgsVBi75A6s6fPw/mgwjQQjGQGGjBF4iPC6empv5nZ2cHtz1har5//w5ux8IWgIHaozw8PP9NTExgSsA0KD2A7AAtbgVtigEtUgQtUgNt6AEr+P8fvOkD5l5QuQASJ2ZxGUgdNn+BxAli0KIyOi4uG70Wky7nw41aMhoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIMDKArf0DXYSKHBejaF9DVLCA50HWYyHIKCgoMz58/RxaCs3///g1n8/PzM4iIiMD5oOsx37x5A+fjYoiJicGlODk5GX79+sXw8OFDBmVlZbg4iGFhYQGiiMKgq2xACllYWEAU+MpOMIOBgQF0FQ7o6hkmJiYG0HV5IP+B/DxhwgQGZmZmmDLwFZrk+AduABEMUPiAruskQumgUrJw4UKGVatWMYCu3gJdJ4d8ZRA2h+rq6mIIg9IarnSIoRiPwO7duxmsra1RVIDiE0UAiQNzC+i6IdD1nCA+6MokEF60aBE4fZDrNpA+dLtB6Qs5/2BL70jOowpz/fr14DxEFcPoaIiKigoDrrSFL77wyZGaPij1LihPg8L/+/fvlBpFU/2gtIor/xEqG6ntMGLKa2rbiW7e69evGZDzJro8JXweHh4GUP2ipKREiTFE6yUmPPHlGaItwqKQGLuxaKOq0MuXLxlA11xT1VCoYaCr50D5A2QHVIhiipgwA9mJr70Cul4PdB31zZs3GSorKylyE6hORDeAkP0w9fjKcJgaSmhQ223ZsmUo1xhSYt5A6CUmLGFxgK8tTKs8jC9Mhkr9BvMDKysrA+iqchBOSUkB91FA7dXq6moGY2Nj8BWSoCsqQerfvXvHAEpboGslkdtxbGxsDKmpqeC+ybp160BKKcJFRUUMp0+fZgBd4w4zCNTvAfE/ffoEFgJdbxkYGMhw5swZcJ8NLMjAwLB69WqwH0DXYoKuRAVh0LX3oKvdYWpAfk5ISAC7F9T+gYkPJxrSsxtOPhr1y2gIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyC0RAYDYHREKBCCPz584chODiYISsriwE0mUAFI8ETE/v370cxaurUqQygiUnQYqrDhw+jyF24cIFBTk4OvOgGJAGa3APRIHz37l0QBcafP39mAC2oAC0QAwmcOHGCgZjJdNBEG0g9CP8HXazCwMAAmsA9dOgQSAiOQXaB3AEXwMNANhNdGcwO0KRMbW0teJIHtEAKpA55QRu5/gGZQywGhS36Ag9i9Q6kOhsbG4aIiAgG0IKMmTNnMmRkZDB4eHgwwOKeGLeB0hqudAhamEiMGSA1vLy8DNevXwcx4fj8+fMMjo6OcD42BmghiZCQEMOjR4/gafvVq1cMX79+ZQAtMiPHbSA/4co/MDcgp01YWoTJUYMGTU7euXOHQVtbmxrG0dUM0CI8XGkLX3zt2rWLAVdczps3j6z0Qa7HQXkCpBeUFkD0YMUg9+FK46B8gK9spLafkPMEutm0yCPodoD4z549YwAt0AGxhzomJjzx5SdK/E+M3ZSYT4zep0+f0iwuQQvWQe2TJ0+eEOMUotQQE2aE2ivHjx9nAC1qtbKyYgAtXtmzZw+8XiPKEQQUEbIfph1fGU5K+wBmHjoNyqegNijyYhp0NYOdT2xYgvwBSmu42sK0ysMge3HhoVK/IbsftKHEy8uLAYRB4qCFoZs3bwa3844cOQLu+4Da4i9evADdtsgA2nQQHh4OUgrHoHYViAPqh4BoSjBoI8Pbt28Zent7GUD5FrTQ+/bt2+AFk8jpOiYmhmHx4sUMa9asYSgpKWF4/Pgxw8mTJ8H9QdACMpAekDvs7e1BFAo2MjIC82/dugWmhxsxenLZcIvRUf+MhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCFAlBEATme/fv2cALZCgioEMDOCJFNBiHNApGCAzQROSoEkO0OkZ3t7eDJcvX2YATbyA5EA7+UE7/kELiRQVFRlA7lm1ahVICryDHjTZAeYwMDD8+/ePAbTQCMQHTWhs2rSJ7AVxbm5uDJcuXWLYsmULeLIHdFrAsWPHQEZTDYNOhACdGqaurg42ExQOoJMgYIsZqOkfsAVoBGgCCxS2Pj4+aDKDn+vn58cAShugiU/QhB0orGCuBk16wSbiYGLYaNBiRlzpEKSeWHN8fX0Zrl27Bp6AA8Ud6BQK0OQtyAx8GJTGQHlr6dKl4DQGWmQG8suKFSvw5hGQmbjchi//gPTRA4PyHWixAqHFdfRwC6l2nD17lgFX2sIXX/jkyE0fpLodph6U9tjZ2TFOXoTJU4Pu6+sDTzZTYha+/EeobKTEXmrpxZUHyTH/58+f4EXGsAl5csygpx5q+B1fnqGnX0B2UcM/IHNAGFSmg9oOyCcPgcSpiS0tLRn27dtHTSMJmoUvT3779o0hLi6Oobi4mGHt2rUMoIUykyZNImgmSAGxYY/PfpA5MIyvDIepoYQGLZoDla8GBgaUGEN3vcjhTGxYghwJyqeg9IytLQySA6V3bG0YkF5kO0F8amB61G/UcCfIDNDJyqC+A+iUMBAfhkGnGoJOMQMt2gP1bUDtVVBbHLTgC6QGlL5AYYeMhYWFGaKjo6myaL+7u5sBtIGiubmZAeRGFxcXhgULFmCcwOvs7MwA6peBFpeB3AWiQW1ckDtAfNApciAadDouiEbGoDoNxEc+jRnER8egdjy62FDgj55cNhRiadSNoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIDEgJJSUngk6FAEwmg02YodQRoUg50RVdoaCj4tB/QAqv+/n7wwjETExOGzs5OBtA1mfLy8uCTqSIjI8ETl6CFZaDJS5B7SktLGUBqkU9TA13jAjpBCGQW6HQD0JUuhYWFDKDTAEh1s5mZGQNocjQ2Nha88AfkZtBEGgcHB6lG4VQPWnQyceJEBtB1oCC3gyaM09LSGEB+mzZtGgNIDJt/cBpIogRoERPoZDpQ+JKodcCVc3FxMUhKSjKATnwDTW62tbXBTy0LCQlhiI+PB1/J4+DggNOtoDjFlQ5BmpDNgU2mgcTRMSitgOwHnTQBmjQEnY5CTJiCFkvOnTuXARTnVVVV4HQKsgeUxkHXIBHrNuTrWkF5Alf+AU0oo7ud2nzQxCMo34DSNugkL2qbT2vzPD09GTo6OrCmLULxhS8uyUkf5PoVdBIJKB2AJqjJNYOQPtAVWkuWLGEATVKDTmUhpB6bPL78B0o/uMpG2MJjbGbSU4zY8oEYN4EWLoNOLATVMcSoH2g1yH5HLn9IcRe+/ESKOdRQi+wfUBlMiZk7d+4Ea3d1dQXTtCBAC1L27t1LC6NxmokvT4KuygMtIgGdNggqd0B1V3p6OnhxP+iUJJyGMjAwIIc9vvoan/0bNmyAW4GvDIcrooABKn9Ai25AJ5ZSYAzdtSKHM6itQmz5CmrfgOp0bG1hQnkY2U5K8xUswOhRv8HsopQG9VlAbVHQ9e03btzAahzodLDly5czgE7rBF0vCVKkqqrKAKpfQWwYBp2WBzrNGNT2hYmRQ4P6RhUVFeDTmUEnjyGn49bWVhQjQXkaVNaA0gpoIw8on4NOVwb1VUAKQfEPokGn5aJvUgHFE0gOdno0qJ2AvAkEJAfCoGt0QfSQw/9HwWgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMoBBgYGD4v3LlSqJ8/OXLl/9iYmL/09PTiVJPrKJv3779v3//Plbl79+//3/q1Kn/b968wZD/8OHD/9evX6OIHzly5D8/Pz9Y7NGjR//fvXsHZpNLfP78+f/jx4////v37//379/Bxri6uv7fsGEDmE1NAhQGIP/CzHz69On/w4cPU9U/MLNh9KdPn/7Lysr+T0pKggkNKRoUL9evX/9//vx5cByhOx4Unr9//0YXxsonlA6JNefVq1f/L1269P/Pnz9Y7cElCMpfp0+fBqc3dDXkug3kf1z5B90OavJnzZr1n5mZ+f+ZM2eoaSxdzSKUtvDFFz45ctMHKZ4HpVUpKan/dXV1pGgjWe3Vq1f/MzIy/t+6dSvJetE14Evj2MpGUPygmzFQfFA+A4U5pfbHxcX919XVpdQYuuqnlt/x5Rl6eoha/nFwcPjv4eFBT6fT1S5a5ElSwp4Y+0FlBL72AbkBdvfu3f+srKz/FyxYQK4RA6oPPZyJCUti2sL48jC6nZQEAKisJaV+A/VxQH0dYuwMCQn5D8IE1dbX//+vqUlQGUwBqDwAueHQoUMwIRS6rKzsP0ge1Lf4+fPnf1FR0f98fHz/f/36haKuubkZrA7UNwBJdHR0gPmgNjCID8I5OTlgMZgakBg6BrU1QfZlZmaiSIH6TaC2Gyh8kSVAbTmQ+qKiInCd39DQAJcG9VXY2Nj+GxoawsVgDFBYgsy7desWWMjb2/s/SC2yv65cuQLOTyDzQX4HKcTmL5A4QXzlyv//DAz//4NoAopB9oHSBgFl+KRXjZ5cNuSWA446eDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOAXiEAOkELdBIF6OSBsLAwBtjuekrtB53whO06FZC5AgICDKampiAmBubn58cQQxYAnQSGzCeHDTpFBnQqFug0IhsbG/AVnOfPn2cAXXUF2smPy8zk5GQGUk8sQQ8DKSkphvv378OtoIZ/4IZBGaCTC75//87Q3t4OFaE9BTrVCnQVJ/JJCeTaCjoFAd+JKKD0Q6zZhNIhyBxi4hx0RScIg9STgkH5C3TSFDY9xLgNmz6Q/3HlH2zqqSH24MED8LVooJPXjI2NqWHkgJhBKG3hiy98cqC0AcK09NT27dsZnj9/zgA6ZYaW9mhpaYFPJerp6WEAXeVKiV340ji2shGXXcTkUVx6yRUH5TNy9cL0PXnyhAF0iuSsWbNgQkOCpobfQR7FlmeGalyCTqADXYt88OBBkNeGJSYlT4ICgJi4JCUtEWM/oTIc5C5ycGNjIwPoRF1QW5gc/QOtBz2ciQlLfG1hmH+w5WGYHLqdMHFyaHrVb+S4DZce0KlvoLYYqF8AaneDTnoEnbp79+5dBtCVmaArRUHyoKspQSfWgtrkoCszQSealZeXM/Dx8TFs3LiRoaWlBdy3sLa2BlsFSocgBqjeSExMROkvgepl9JPPQGpBGHSyLQ8PD8PKlSsZQKf8gdrRR48eZQCdOgiyC9RGB50mpq6uDlLOAGrLgdSA+oAgAdD1tzAA6qvk5OQwgK7JzsrKYgBh0FWey5YtA18TDzq1DXQKG0g9qO8EuvozISGBITU1leHOnTvgU6pB/bk3b96AlIAxPn+BFQwSYnRx2SCJiFFnjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMzhAAXfMHmjAATQyAJiJoseCJEp+DFiyBJmgoMQNZL+h6w9mzZzOAJm7y8vIYdHV1GbZs2cIgISEBXgiArJYWbGr7B9mNoEVez549YwBddSMmJoYsRVN2bm4uA+iqHNB1XtSccKSpo6GGgxZ/QJmjFI4QAF1PamhoyNDU1IRDBXWFL168yABazLlp0yYG0CQndU0fmqaBrq0CLf5VUVGhuQfKysrAC41B1wAiX09Mc4txWDBU8+i2bdsYQPUNqI7F4TWqC4OuOBtsdTiyJ4dqXIIWgTg6OjLY2dkhe2dEs4dqXKJHGmgx/pEjRxiam5vBV7ijy1ObP1jqN1DZhKstTG0/EzKPnvUbIbcQKw/qO4DavPn5+QygxYnI+kALq0F9qt7eXgbQAj2QHKhN8+3bNwZQ/bpq1SqQEDi9gRacga6tBC2cBAmCFquBFqpNnz6d4fr16wz79+8HCYMxqBwCM7AQU6ZMYZg3bx5DUlISg5+fH1gF6Arz/v5+sBtAC8J0dHQYfv/+DZYDEaCFbjU1NQyga5thV2HCAGgxHOjKTlB/AuQWmHhGRga4jwHjgzYdgNr/oH4kCIOuCoUtggddRQ5Th89fMDWDgWYEnWs2GBwy6obREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQoEcIgCYoQDvXQSeREWsfaPGIvb09A2hC5MSJEwwgM4jVO6pucIXAv3//GJiYmOjqKNBpbKBJd9Cihl27djGATk+gqwNGLaN5CIAWLtKrXPjx4wcD6HQN0GTknDlzaO63oWDBr1+/GF6+fMkAymP0cC+o/jh16hTDlStXRvMzBQH++vVrBlqfagdz3p49exh8fX3BC30NDAxgwqM0lUIA1E4SFBSkkmmjxgymEPj8+TO4nKNHHTdav2HGPKn1G2hxVnh4OAOoXYJpGqpIaGgoWAC0gA3MwEU0NDAwgBZ9XbuGSwVWcZAbQKd13b59m+Hjx4/gOhq0iAvXRgtQWgOdlgw6SQy0QA1XnQ7aKALajALCWC3GIfj27VsGkPmgU9RAJ5HC0jRIHFSGIS9QX79+PUNQUBDD2rVrwTQ28OrVK4YLFy4wsLOzM4BOfcZVBoLquqdPnzLo6+vj7UOS7K+rVxkYdHQYGK5cYWDQ1sbmRLgYyK+k9n/hmiGM1aOLyyABMUqOhsBoCIyGwGgIjILREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGCEhQO7gOmjA/8WLFwxGRkYjJKRGvUnNEABdtwNaoAg6/WDNmjUMoNMLqGn+qFkjKwQWL17MALoSCnQdnZmZ2cjy/CDwLWhCGTQx7ePjw7BgwYJB4KJRJxAKAdDCYgcHBwbQJD/oJCZhYWFCWkblR0NgNAQGIARG6zfKAn0wLS6jzCcDqxtUv4MWjoGuPmdhGaQXQtJ5cRl9t+YMbPyP2j4aAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCZIcA6Pq50YVlZAffiNcIOmnqwIEDDKCTEUxMTBgOHz484sNkNADIDwHQdU3Ozs4M0dHRDKCTPsg3aVQnOSEAulYXtAACdBIWOfpH9dA/BEAnVi5fvpwBdDKSt7c3w9evX+nviFEbaRICnz59oom5o4YOTAiM1m8DE+6jtkJCAHQNZ1ZWFgPo6uaKigrw9ZwQmVEwurhsNA2MhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYAHUJAQ0ODAXSVnoWFBQNoYVBjYyMdbB21YjiGAOgExoULFzKAFlUkJyczgE5lGo7+HMx+8vT0ZAgODh7MThx1G1oIgE6M3LlzJwPoqmLQwsAPHz6gqRjlDrUQWLJkCYO2tjb4arqh5vZR92IPgdH6DXu4jIrSJwRmzZrFALo+MiUlhSEtLY0+lg4RMLq4bIhE1KgzR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgIEBcCoNNpQFfZEKeavqr4+PgY1q1bx9DZ2ckwurCBvmFPiW379+9nAJ1kQYkZ1NYrISHBsGLFCoZNmzYxFBQUUNv4UfNGQ2BYhoCamhrD7t27GW7dusVgY2PD8PDhw2Hpz5HiKdApdKCTQUFxCbpyeqT4e7j7c7R+G+4xPHj9B6oT3r59ywBaZMbGxjZ4HToAYHRx2QAE+qiVoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgLDKwT+/PkDXiwEuvJwePlsaPnm4sWLDB4eHuCrAvfs2TNoHQ86laOwsJChv79/0Lpx1GGQELh27RpDWFgY+KS5Z8+eMXz79g0iMUhIR0dHBtDJPaBFFS9fvhwkrqKtM75//05bC0ZNp2oI3Lx5k2Hr1q1UNZNSw/T09BhOnjzJwMrKylBeXk6pcSNC/69fvxhqamoYzp07N6j8KygoyLBjxw6GxMREcFkNWmg72MrpQRVgOBwDOqkJdBLj79+/caigv/Bo/Ub/MB+1cTQE8IHRxWX4QmdUbjQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASICIHr168z9PT0MKioqDB0d3czjC5+ICLQqKjk3r17DDExMQxGRkYM7969Yzhw4ABDSUkJFW0YNWqkhQDoVCNQmtLV1WUA5e8NGzYwgDAXF9egC4qQkBCwG8XFxQed26jtoKVLlzKATikCLfSjttmj5lE/BJYtW8ZgamrK0NfXR33DKTQRdEXmoUOHGCZMmEChScNfO6gMtLS0BIcVaLHgYPMxCwsLw+TJkxlAVwWDsIGBAcORI0cGmzMHpXtAi5JBi8oiIyMZREVFGUCbJQaTQ0frt8EUG6NuGelgdHHZSE8Bo/4fDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREKA4BEALUO7evQu+Nq+xsZFBUVGRAUSDJu0oNnzUAJwhcPr0aYaoqCgGDQ0NBhAbdPIG6DQaOzs7nHqGisSnT58Y9u7dy/D///+h4uRh4c7Lly8zBAYGMmhpaTGcPXuWAbSYCXQinp+f36D2Hz8//6B2H6WOA52mAzphKjY2liE8PJxBUlKSUiNpqh+02Li3t3fQLdSgqaeRDAct/gPFE2iBZlJSEsP27duRZAcPk5eXlwF0/d7gcdHgcsnXr1/Bp5WBFm6DFnCdP3+eAbQIaXC5EuEaUPlw5coVBlVVVQZ7e3uG9evXIyRHWSgh8PPnT/CmCE1NTfBpdLt27WKYMWMGAycnJ4q6wcAZrd8GQyyMumEUMDCMLi4bTQWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQIUQ4OPjY2hubmYALTJLSUlhmDJlCoO8vDwDaGIdNNFOBStGjUALgdbWVgbQKSpz585luHr1KgPohAvQlZNoyoYkF3TNl4uLC3iRE+hEljdv3gxJfww1R4MWMYGut12+fDkDaJFCREQEAxPT6HTaQMYjqEy1tbVlmDp1KsO8efPAp0MO9nwOOv0HdIWgiYnJiDpBCZR/QOUVaMHKmTNnGLZt2wY+7YqNjW0gk9Co3SSGwN+/fxkWLVoEPiUQlO/a2toYjh49Cl60RaJRdFcOOpEOdA0raLG5q6sr3e0f7BaCyibQVcqgRfn19fUMmZmZDJcuXWIAtTcGu9uHo/uGYv02HONh1E/EgdHWMHHhNKpqNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BIgKAdDVdC0tLQyPHj0CX9N07tw5BmZmZqL0jioiLQQWL14MPl0KdFoJ6FQV0nQPbtVhYWEMoBOzQKewVVZWMkhJSTF4eXkxgPwMOtVscLt+6LoOdEIP6FrV0NDQYZNvh+rpdz9+/ACfAKmjo8MAOmUHtFgpISFhSCSuiooK8IIN0DVzoIVxnp6e4NMVh4TjyXQkaIEv6MpS0JXEOTk54MWZHh4eZJo2OLRt3rwZvKhqcLiGfq4oKCgAL4z39vZmAF0RXFhYyDDU6ljQYnMeHh76BdoQsenp06cMoA0Qjo6O4MX5oEX6oBP8hojzMZw5Wr9hBMmowGgI0AyMLi6jWdCOGjwaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMJJDAHS1UGpqKsOFCxcYQAvORnJYkON30Ak4t2/fxqt1KE+I4vUYVFJPT49h5syZDKDrVRcuXAie3AdNCoOucTt06BBU1ShFbAg8ePCAYfr06Qzv3r0jVsuQVweaeAct8AEtUBxqp9+BFoeArpYEnQh56tQp8PW3QylCQFfz7d69mwF03dyHDx8YzM3NwQtEDx8+PJS8QbRblZWVwVfKgspt0IIVUB1ItOZBqhB0La6NjQ0DCIMW9n7//n2QupS6zgItLgOdCgqqf0ALJKlr+sCa9vjxY4ZXr16B64Ffv34NrGMGwHbQibpPnjwBnwIpIyMzAC6gnpWj9Rv1wnLUpNEQIAaMLi4jJpRG1YyGwGgIjIbAaAiMhsAoGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQEahcCNGzcYiouLGbZv384w0k+kun//PgNoERXoKkIxMTHwhP7oIioGBm5ubobIyEiGTZs2Mbx48QJ8Ip6uri6NUuTwMRa0iGzLli3g/AW6pk9RUZGhqKgIfFXf8PElfp/8+/ePwc3NjQF0dSzI/6ATtUALC/DrGhyyoGslr1+/zgA6CYuVlXVwOIoMV4Cu5jt+/DgDKC2CFrOArqAjw5hBr4WDg4MBtBhQTk5u0LuVWAeuWLGC4eDBgwygBb3JycngEyRBp7KBrogE5S1izRlq6kALBUF4qLkbn3tBCzxB5R/odL2enh6Guro6cHzm5uYygBZ8gq4Cxad/KMkR8ouIiMhQ8g5Ot378+JHh69evDLNmzWIYrd9wBtOoxGgIUA2MLi6jWlCOGjQaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCpIfA8+fPGXbu3Ak+0UZISIjBxMSEAXQF1YYNGxhA1xeRbuLQ0QE6dQI0KRgTE8MgKyvLoKSkxJCeng4+UaSxsZHB3t4ejC0tLRnWrVvHMJwn84mNNUFBQQbQIgcQjUsPKJzy8vIYFi1axABavEhoohmXOUNVfM6cOQza2toMoAl0Pz8/8MlRPj4+DHv27GHQ0tJiiI+PZwgPDwdfOzpU/Uisu0FX8oIWr4IWboIWUyxYsIBBQUGBwd/fn2Hr1q0Mf/78IdYouquzsLBgkJaWpru9tLIQdK0tKA1mZ2fTygqamQsqU06fPg0uT2hmySA1GHQ18Zo1axhAizKrqqoY9u7dC174bGpqOkhdjNtZoMXJoIWmwcHBDKBrZ3GrHD4yoFNQQe0M0KKy2bNnM9TX1zM0NTUxgBaagcpGUHyC4hh0wmxcXBzD6tWrGd6+fTukAgC0aBW0QK68vBxcx4GuZh9SHiDDsSD/Ghsbg6/2BJ0qOFq/kRGIo1pGQ4BEMLq4jMQAG1U+GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAtQMAUdHR4YrV66AT6QCnZJiZWXFsH//fgbQ5C/oyqKGhgZqWjeozGJkZGSYNm0a+Ioq0KIy0AkxoNNFQNfIgRZHrVq1iuHMmTMMoOvlwsLCwPTEiRMZvn37Nqj8MdgcAzqx6/z58+CFeqATu/j4+MBX8qWlpYHD+8SJE4PNySS5h9CiCNiiMtBJb69fv2a4fPkyQ3d3N4OzszMDaIEMaOHmvXv3GAwMDBhAp0odO3aMJPuHomLQ6XelpaUMjx49Yli2bBnDly9fGHx9fcELWentH9BiR1A8gE4PQrYbtHBnwoQJyEIjkg26BhS08O/9+/cD6v+7d++CT7wDnSQJWnhjZmYG5g+oowbQctBpmqA8BDpND1SmwBbwgNIy6PSkAXQaTqtBV0CCFkuBFjSCFtZKSkoygE5eAy24GmrX5OL0JA4J0OJ1kN9BdSDodDJQOgaladACLNApe6D2Fei64GvXroEXKIEWm4HKR9ApoaCrQEF1BA6jB1wYlN5AV+6CFsqB2pACAgIMoAVy69evB29UAC2mHnBH0sgBoLQLaheD/A1qG168eBHsZ1DeBMXfYK3faBQco8aOhgBdAeN/UMlKVytHLRsNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgFoyEwGgIDFwKgBU0rV65kAC1WGjhXELYZdN3P2bNnwSf3gE7cwKVj48aN4AUjoJO/QFd3gWjQQgAWFhZcWqguDlrsBTrVBXQqCmgyGzTBd/v2bQYQBi0eo8YVjqBJ4UmTJjGATh7h4eFhyMrKYgBNGAsLC1PdP8PFwJ8/f4IXLl64cIEBdBUfaBIWhEHXR507dw6nN0GLt0AL1ECLKeiZjmAO+vz5M3iyH3Sq37NnzxhAp27duXOHAZQGQDg0NJQqi1xAp0iBTjsBXVlobW3NAFp0AFpwBXPHcKcfPHgAPg0QdGIgLf0KOoHx6tWrDKDy7MiRIwwgDLoCGHSCGmjxKCwPgxaOgk5tnD59OnhhJC3dNFjNBi36A6VF0OIl0BSuiooK+DRL0Ak9oMVBampqDCAxWrkfVC6AFtyA4gVUBnBycjLY2tqCF2GCFmLq6+vTyuohaS5ogU9AQAAD6ApXULghewK0sAl04pmhoSEDqA4HXTMJymug+gtZHa3YoDYOyA2gMhyUfhwcHBhAC3JsbGzAVy3Tyt7BYC5owXBZWRkDqGwHLdTv7OwEX5tIjNtAizpB1556e3szgNqLuPSAFsGD6lJ5eXkGNjY2XMpoIg46tQu0mAyUnkA0DIPSGE0sHCSGgjZigE6Xu3nzJkNbWxsDaBMCrjgabPUbPYMQtDEDdDorqA4hZC+oPQVSAyorQDRODNrosmoVA8O1aziVjEoMALh6lYFBR4eB4coVBgZtbbwOAOUVCvu/q+nXs8TrlVHJ0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAeQQ4OfnZ3ByckIWwsoGTYKCrroDndAEU8DExMQAWmAGwr29vXjNAU2OP3z4kAFkH0g/6FQh0MIPEBuEQac94ZuwBF2vBzohCqQWhFlZWcEL4kAnSujp6TGATggBiVOKQW4ALT4BnW4EWmQGwqCTjxISEsATjKBFF5TaMdz0s7OzM4AWFYAwst9Ai0aQ+ehs0MQ8KN5B6Qi0wAyUjkAno4DSCAgbGRkxFBQUoGuD81++fMlw6NAhBtDiNtDCQ5gEaNIexAadGBMdHQ1iYsWgRV9BQUFgOZB9oAl8UPy7u7szgGh0/4AVkkG4uLgwgDBosRNo8QHoCk3QaWagBU6gq1pB/ifD2CGjBbS4i5BjQQtUQCc1ycnJgcsUUNyBTsIDYdCVm6DFeKA0gssc0EmMoAUeIHlpaWnwdYKgRQGgK291QBOiIAkozs/PB1+JC1o4ysvLyxAVFQWVGTkUaOERaAHoq1evwKfsgU7FAi306uvrYwAttgQtJgEtsMQVIqA8BlokAAo/0KIiUP4D5UPQaT+ghWugfAw6JRKXfpD9oPwOOhEJdO0jaGEUtcpwXHYOVfFt27aBTxgNDAxkAJ2ahO4P0MK879+/M4AWS4IWXcMWeoDCF5SfQOUM6JQsdH0wPuj0SdCiYFD8gfSCTvUEmQc6cQyEY2NjGUALoGDq0WlQGQ06sQwUh6D8ii4/HPmgsgqUdkF5AFS2gxa0gsp0UvwKunKa0MlfoPwJqo9A5oLqCVDZBsKghbIgDFrkDzvZDqQGHYMWUC9fvhx8NSkoTkFxC4pTEAZdyQmq9zZv3oyuDc43NzdnAC28Bp1EBxccxgzQtZ+gOhoUpiC/gxaZgdoF+Lw82Oo3fG4dMnKfPjEwgBaYDRkHjwCHPnlCV0+OLi6ja3CPWjYaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoC1A2Brq4uBhAGTUCDFh+ATgkCYRAbtMgHNJGNz8aFCxcygE4/Ay08gKkDTa7C2EuWLAEv6IHx0WnQBHZKSgp4QZmUlBR4AQpodzy6OmrxQf5pbW1lAJ0SM3fuXAbQIjPQ5L2npycDaHEKaEKZlvZTyx8DaY6QkBBe601MTBhAJ6OAJq9B6Qg0kQ46SQ+EQZPgoMlvfAaAJvRBi5JACw1Bi1VgakELHEALktzc3BjwLS4DxSHopDJQegIt0IDppxUNOskHhEEnvIEW8SQmJoKv0QQtGAEtcAIt0qGV3YPdXNAiu1OnTjGATiYElSsgNmjxKai8AC1YAp3IhG9xGWihB2iRI+j0QtCiC0L+bWxsBC+4AJ1OA0o/sFNVCOkbbvKgMAUtHAJhmN9A4Q7KizA+NhoUR6Dr/UB59d+/f+DFvaA8BMp3oPwHOnkM3+Iy0CLdRYsWYTN6VAwpBEALf0BpE5ROZ8yYwQBaYIQkDWaCFiiBMIgDOg0SdM0iCIMWB4IWmxFaGLR48WLwNcZcXFwgIxhACwNBcQm69heEQfkDLIGDAC3sxCE17IRB6b6pqQl8oqWGhgbDli1b8C68ozQAQPkTtEgbdKomDIPqSlDdCMKgayvx2QFaXAbKp6ATz0BXFoMWk4Gu4gSVkaA8Clqchk8/SB+h9INP/1CSA13jnZqaygDKO6CFyaBFmdjyGzl+onf9Ro4bB5Wep08ZGMLDsTrpJQMDw3IGBoZ8BgYGRqwqRgWHAxi9FnM4xOKoH0ZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEiA4B0MIjCq8FIdquUYW0DwHQAop9+/YxgE4127p1K/jKONBpLaAFb6BJW9q7YNSG4RYCoFNRQAs2QSfLgCb5QYsWQQtyRk9wok9Mg05pAp1eNm/ePIYNGzYwgBaO0sfm4WMLKdeiDR9f08cnK1asYACdGgZa8DJlyhSsC8vo45JRW0CLXKdOncoAWnAOWnwHup40OTmZAbSYcjR0hnYIgE5dBC0YBJ1QC1r8PWvWLAbQ4teh7Sv6uJ6U8h+0SBbkKtBpfyCaVHzr1i0G0AnJoEXJoAXMoJNvQSfMkmrOqHraAyr0f1cz0d6ZozaMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYAbUIAdIIF6KQr0EkyoGvEHB0dGUBXZ4KuqAItCnr06BFtLB41ddiGAOi6RtBEKWjSFHTtI+iEGdAVW6BruUAT3sPW44PEY6AJ0GnTpjGATpUJCQkBX7E6SJw26owRHgJz5swBn7oIOj0JlEZB9c8ID5IB8T7omkTQqaWga2JB5XJdXR0DqLxOS0sbXVg2IDFCXUtBV85qamoygBaUgfLZ/v37RxeWUTeIKTbt3LlzDKCTG7W0tBhAV5l3dHQwgE7xG11YNrzB6OKy4R2/o74bDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgRETAqDrpGbOnAme4CopKWEAncSgoqLCEB4ezgCanASdiDRiAmPUoxSHgKKiIvhEvAcPHjAkJCQwgE5RkZeXZ2hoaGB4//49xeaPGoA7BEALzEALC0DXQoIW+J05cwa34lGZ0RCgQwiArr8EnWAIui4XdLIhHawctQItBP78+QO++hJ0glV5eTlDfHw8A+iaUVB9P3qyJFpgDUHuw4cPGUAnaYHKfdBpZTdu3GAALRgE1QdD0DvDzsmgq7BBJz9bW1szGBsbgxd0gvi3b98GX0sPu8J32Hl81ENwMLq4DB4Uo4zREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B4RACYmJiDKDrsUCLgubPn8/w+PFjBicnJwbQCQv9/f0M7969Gw7eHPUDnUJAXFycAXQqB2jiG3TlKugKVtAiM9DJeC9evKCTK0aeNaCr7ZYsWcIAWmTg6urKcOHChZEXCKM+HhQhALqaLzMzE7ywFFQWDApHjSBHgK6/Bi0W19bWZgDFg52dHcO1a9cYuru7GQQFBUdQSAxPr379+pUBdPoc6LSyixcvMoBOLlu6dCkDqC03PH08tHz1+vVrhra2NgbQgvvo6GgGCQkJhoMHDzKcOHGCITg4ePRq4BEERheXjaDIHvXqaAiMhsBoCIyGwCgYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGEkhwMbGBr7C7NixYwzXr19n8Pf3Z2hubmaQkpJiCAsLA1/lM5LCY9SvlIWAiIgIeHEJ6KpVUDpatWoVA+hkPNAisydPnlBm+KhurCEAysNr1qxhAJ1K6O7uzgA6yQarwlHB0RCgUQiArl0sKytjAC1Mrq2tpZEto8biCgHQlXugU5IiIiLA5cDVq1cZQNcWgxa64NIzKj40QgB0mixs0SAof4Hy2eXLlxk8PT2HhgeGuStBV18mJSUxyMnJMfT29jJERUWBTwpcu3YtA2iB5zD3/qj3sIDRxWVYAmVUaDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2B4hYCGhgb49Klnz54xgK7bu3PnDgPoNCTQaWagxQOj1xwOr/impW94eXnBV0CB0lBrayvDunXrGJSVlRni4uLA10TR0u6RaDYnJyfDpk2bGECnxbm5uTGATiQcieEw6mf6h0B9fT1DZWUlw6RJkxgKCgro74ARbCNoUZmpqSkDKM/LyMgwgBa6gBb0qqqqjuBQGT5eB111bGtrywBaNAhaqASqT0FXTrOzsw8fTw5Bn3z+/Bm8eBPUPgYt6jx69Ci47QxaVA+6DhhUDw9Bb406mUpgdHEZlQJy1JjREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BwR8CHBwc4EVAoIlq2OQm6BQq2GlmmzdvZvj79+/g98ioCwc8BLi5ucGLzO7evcswe/ZshpMnTzKArvXy9fUFL4QYcAcOIwfw8fEx7Nq1iwF0ehxo0vv58+fDyHejXhlsIQA6UamoqIgBtHh03rx5DDk5OYPNicPWPaDFLI6OjuDF3wICAgynT59mANXLoNMLh62nR5DHrly5whAaGspgZmbGwMLCwnD27FnwYibQ9dMjKBgGnVdB8ZCeng4+2TctLQ183ezu3bvBp4WCTmcFtXcGnaNHHUR3MLq4jO5BPmrhaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAKBgNgdEQGA2BwRACoFMZZs6cyfD48WOG7u5u8IlIfn5+4FOo6urqGEAnaQwGd466YXCHAOjqRtCpZaCrV1esWMFw7949BhMTEwbQIjPQgrPB7fqh4zrQQpMdO3aAFySATjN6+/bt0HH8qEuHTAiAFpaBFlNMnjyZYcGCBQwJCQlDxu1D2aGgshJUZtrY2DD8/v2b4eDBgwygxS2genoo+2vU7ZAQAC0qA11HDlokePv2bfCJnwcOHGAwMDCAKBgl6R4CoJN8b926Bc5noDYLaGFnS0sLA2jxNuiUQBcXFwZGRka6u2vUwsELRheXDd64GXXZaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGAB1CQFBQEHwyzalTpxhAC4RAiwkWLVrEALp+CzThNnHiRIbRhSx0iIghbgUTExP4RBbQJPrGjRsZXr9+zWBhYcEAWiwBOnlniHtvUDhfTEwMPBH+5csXBtDE9+h1toMiWoaNI0CnViYnJzOAFh2DFlfExMQMG78NVo9cvXqVAbToyNLSkuHNmzcMoOswjxw5wgC6KnGwunnUXcSHwLVr18CnxYIWkYHaV/Pnzwef7BkQEEC8IaMqqRYCsGsvQQu05eTkwG1eISEhBlCeA7VdQAtrQW1iqlk4atCwAizDyjejnhkNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQEKQkBDQ4OhoaGBoba2FnwNH2iRWUVFBUNlZSUDaDI0MjKSATQpx87OToEto1qHcwiATvoAncADwqAJ287OTgbQiXjW1tYM5eXlDD4+PqOngVCQAGRkZMALzOzt7Rm8vb3B+ZSHh4cCE0e1joYAA/g65MTERIa1a9cybNq0icHd3X00WGgYApcuXWIAnZK0Zs0aBiMjI4atW7cyeHp60tDGUaPpGQKgxfo9PT3g/KSjo8MAWqwZGBg4WvfRMxKgdn379o1h+/bt4LgALXz/8+cPOK+BTlpdtmwZ+OrZCRMmMIAwVMsoNRoCWMHoyWVYg2VUcDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2AkhwAzMzN48m358uXgK4L6+/vB12eCFphJSkoygE632bVrF3hBwkgOp1G/4w8B2KlloEVmoNNA/P39wdeAgRYtgk5Jwq97VBZXCKioqDDs27cPfAUpaMHCjx8/cCkdFR8NAYIh8OvXL/DpWevWrRtdWEYwtChTcPr0aQZYOXjz5k0G0OIykNjowjLKwnUw6AbVaatXr2YALaQ2NzcHl8+gRWUXLlxgCAoKGl1YRudIArVfQ0JCGERFRcHl29OnTxlAC/5A115u2LCBASQHaqOATlils9NGrRsAAIpvWVlZimxm/A+6OJoiI0Y1j4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDQCQHQqUIrV64ET7QMHVePunSwhABocg40GQ6aQD127BgDaMEQ6PSk0NBQ8GI0FpbRS2MGS1wNRneATusBTe6CTgtRUFBgKCsrYwCdlsTKyjoYnTvo3QRatODk5AS+Qg+UL0fzHyTKQAs6wsPDGUangSHhgY/8+fMnuD1w8OBBhm3btjFYWVnhUz4qR2YIgBbYgk5xBJ1Qpq+vz1BVVQVe3AJqk5Fp5Ki2QRICoKsW582bBz756tGjRwxeXl4MoOsVQVcXDxInjghngK6JBl3BPX36dIYTJ04wgDZJgBaOgdqnICwlJTUiwmHUkzQDq0dPLqNZ2I4aPBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITDcQkBaWho8aQqaKL9//z5DXV0d+HQO0LWHoMVCoAlVkNzooo7hFvPU8Y+enh4D6NQy0Ik9zs7ODNnZ2QyqqqoMEydOZPj+/Tt1LBlBphgYGICv09u7dy8D6Mpa0Mk5I8j7o16lMARA18WBrqk9fPgww86dO0cXllEYnti0g+pDV1dXBltbWwbQ4hfQtXznzp1jAC12GV1Yhi3Eho7YvXv3GEDXhsvJyTHU1NSArwy/evUqA2iB0+jCMvrE49u3b8FtCtA13BISEgxJSUngfAayHbQZApT/QO3S0YVloBAZxZSC0cVllIbgqP7REBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BERkC8vLy8IVmoAnVlJQU8AIF0CQ68kKzERk4o57GGwLKysoMM2fOZLhz5w74irjKykoGUJppaGhg+PjxI169o5KoIWBpackAuuJry5YtDKmpqaOndaEGzygPRwh8+fKFAbSwDHSa4P79+xlA1/jhUDoqTEYI7NmzhwF0ahKoPgQtnAXxQQtdQItgRheVkRGgg0gLKB7DwsIY1NXVGRYvXgxuB4FOLAPVaRoaGoPIpcPTKa9fv4YvKANd056eng726OzZsxlAi82amprAfHFxcTA9SoyGALXA6OIyaoXkqDmjITAaAqMhMBoCoyEwCkZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGbAhoaWkxgBYG3bhxg+HMmTMMoCvpQAteQBPrILnGxkaGK1eujNjwGfU49hAALVAEnVr24MEDhszMTPC1YqCFZ6C09O7dO+yaRkUxQgB0ChzouuMlS5YwFBQUYMiPCoyGAHIIfPjwgQF0stL169cZQKfega5pRJYfZZMXAv/+/QOfWmViYgI+xUpUVBR8PR9oMRIoj5Jn6qiuwRACv379YgBdBw5azAtq14BOLZs7dy7Dw4cPwW0f0BXhg8Gdw9UNoMV7oLaCjY0NA+iEMlB7AeTXOXPmMLx69Qqc7+Li4hj4+flBwqN4NARoAkYXl9EkWEcNHQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBipIWBsbMzQ1dXFAFowBJpUBy1imDVrFoOuri6DpqYm+PqoCxcujNTgGfU3lhAQExMDT9DfvXuXIScnh2Hy5MkMoIVnoOusnj17hkXHqBB6CICupl22bBnD1KlTwWGJLj/KHw0BUAiAFmI4ODgwPH/+nAF0HaaOjg5IeBRTEAKgRWWghUegsAwICGAAnaZ0+vRp8IKX0RPhKAjYQaAVVP+ATsICnawZHR3NoKioyHDq1CnwInrQYiYWFpZB4Mrh6QTQ1euwBWWg8AdtUlBSUmJYsWIFyoIyXl7e4RkAo74adGB0cdmgi5JRB42GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMhxAAXf1lbW3NMGnSJIbHjx+DJ2NBJ5qBTlgyNDQEX4MIWjwEWoD2////4eDlUT9QGALCwsLghVGg02BaWloY1qxZwwCaTAZN4oOu0KTQ+GGvPSQkhAF0kgtoMURnZ+ew9++oB0kLgZcvXzKATtACXT0LugpTRUWFNANGVaOEAOg0q0WLFjGArkKMiIhgAC0uA10RvXnzZgbQImsUxaOcIRMCoPYI6BpTUHkKWuQ8ZcoUhvj4eAbQaWWgBbympqZDxi9DyaF///5lOHr0KENFRQWDtrY2uO5vbW1lAJ1+u337dgZQ+QXKb6GhoQzc3NxDyWujbh0mYHRx2TCJyFFvjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjILREBgNgdEQGLwhwMTEBJ5sB113ePv2bfAVmQkJCQw7duxgAF0xBTqVYnSh2eCNP3q7jIeHhwGUHkCT+aBT744dOwaeYAYtMgNdvUpv9wwl+0D5CnTaS2VlJcP06dOHktNH3UrDEABdKwcqa3///s0AWtALWrRJQ+uGtdE/f/5kAJVLoCt8U1NTGSwsLBhA5dKqVavAC82GteeHsedAiy5B8Qo6ZdXV1RV8+iroJEjQYuf29nYGGRmZYez7gfHap0+fwIvIQYv3QNddgq69XLt2LYO7uzsDaAEs6IRFUJyA+KysrAPjyFFbR0MACkbPKYQGxCg1GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoC9AoB0KkUIAxabAY66QV0pRjoRDPQKWegCVwvLy8GHx8fBk9PT4bRa6foFSuDzx52dnYG0IKyyMhIhuXLlzOAJvhB6QaUPurr6xlMTEwGn6MHgYtyc3MZPnz4wJCdnc3AxsbGkJycPAhcNeqEgQoB0BXFoBPLODg4GEAnMoGubRwotwxle798+cIwd+5cBtCpgO/evQOfZlVbWzu66GgoRyoDA8PZs2fBiwWXLFnCwMzMzACqb5YuXcqgr68/xH02OJ0PWqy3c+dO8LWxu3fvZgAteAWdZguqr3x9fcEbEQany0ddNdLB6OKykZ4CRv0/GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMKAhAFosBMKghWYXL15kAJ1aAboOEXRaBWgRhL+/P0NgYCCDg4MDeKHMgDp21PIBCQHQiSWgRWYxMTEMW7duZQBd+wi6mszFxQXMtrS0HBB3DWZLQYtevn79ypCens7Ay8vLEBYWNpidO+o2GoXAzZs3GUD5RExMjAG0oENERIRGNg1fY0GnK4FOAezq6mIAXYWZlJQEvroPVD8NX18Pb5/9+PGDAXTSHOiUx3PnzoFPnKurq2NIS0tjEBQUHN6ep7Pv/v37x3D+/HnwYrItW7YwgMKbk5OTwcnJCXxtup+fHwPo1DI6O2vUutEQIBmMLi4jOchGNYyGwOAJAVClHx4ePngcNOqS0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGMAQCAkJYQCd/jSAThi1ejQEKA4B0EkhIAxaPAQ60Qy00Gz9+vUMM2bMYODn52cAnVgFWmjm4eEBXjBDsYWjBgypEABdrwo62QSEQScwgRYDWFlZMVhbWzOUl5czgMSHlIdo7NiOjg7wYpjY2FgGbm5uBm9vbxrbOGr8YAqB69evgxeWSUtLg68gFhISGkzOG/Ruef36NQPoWkTQAiTQApnMzEyGsrIyhtFwHLrg1q1bDPPmzWOYPXs2A2jxLWhhE+gkOtACzKHrq8Hn8m/fvjHs3buXAbSYDISfPXvGALr+3M3NjQF06iiIBp1MOvhcPuqi0RDADUYXl+EOm1GZ0RAYMiEAOip9yDh21KGjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAgxDo7++ngamjRo6GwMCGAOg0MxAGLSBCvkYpOjqaAbTIyNbWFnx1ZmhoKIOUlNTAOnbUdrqHAGgxAAgfOXIEfE0daJEA6GqtyspKBtBiW0ZGRrq7aTBa2NvbywA6eQmUT7Zt2wY+AXAwunPUTdQNAdBJQaAFHJqamuDT/kCn11HXhuFr2qNHjxj6+vrAC5BA4QYqU0ALy0Ds4evr4esz0HWmoANLQIvKjh49yqCsrAw+eS4xMZFh9CQ/6sU7KN/s2LEDfEIZ8nWXqamp4IXfxsbG1LNs1KTREBgAMLq4bAACfdTK0RCgdgiMHuVM7RAdNW80BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgqIXA6IllQy3GRt1LagjIy8uDr6sCXVn17t07+GkYNTU1DEVFRQygRUU+Pj4MERER4OutSDV/VP3QDQEbGxsGEAYtpmlvb2cA3XgCWpRYWlrKEBUVxcDCMrKnA0GL7GbOnMkAWmAByiOgqxFBJ70N3RgfdTmhEDhz5gyDu7s7A+gUyE2bNjHw8PAQ0jIqz8DAcOXKFYbu7m6G5cuXg6/pA5UnoIUxoCv8RgNoaIXA////GUALyUALykBt5N+/fzOArtgGLX5ydXUFL1AfWj4afK4Fhenx48fBpyKCFi6DrjUHLcAElT2gOgd00qyoqOjgc/ioi0ZDgEzARKa+UW2jITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIDEAKgK8ni4uIYQCeRvHr1imHDhg0MoBMxQFdngk7pAZ1Kkp+fzwA60Qo0wTwAThy1cgBCALTAEJQmLl26BF5smJyczKCmpsYAutLux48fA+CiwWMlMzMzw+LFi8GnloEWmIEW4g0e1426hJohcPjwYQZnZ2cGS0tLBtCCj9GFZYRDF1RXgK7U1dPTYwAtlgEtMANdn5iXl8cwurCMcPgNJhXPnz8Hl/mghZWg001PnjzJAFqE/vjxYwbQTVighU+gk08Hk5uHklvu378PvqYcdD056NQ3e3t7cFsMFNaghcugq2RBi/ni4+MZRheWDaWYHXUrMWB0cRkxoTSqZjQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDMIQAE38gxYFgE7JePr0KQNoYQXo+r/t27czgCY7JSQkGEAL0UCTnaCTmwahF0adROUQ0NHRYVi0aBEDaHEIKG1UVFQwKCoqgq/O/PbtG5VtGzrGsbKyMoDygYGBAfhUq+vXrw8dx4+6lKgQOHDgAAPotCDQApr169czcHBwEKVvJCr69+8f+Po+0Cl+oLri/fv3DBs3bmS4efMmA2hx8mjYDZ1U8evXL3Bcgm66kpOTY2hoaAAvrgS1B65evcpQXl4+utCJzOj8/v07w549e8DXiJqYmDAoKSkxFBcXg0/CrKqqYgCF7507dxgmT57MALqGl52dnUybRrWNhsDgB6OLywZ/HI26cDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BAiGAOh0JtD1iB0dHeCFRWfPnmXIzMwET36CrkoELTQDnbYxd+5chpcvXxI0b1TB0A4B0IIy0KlloMUioEUHTU1NDAoKCuCFBx8+fBjaniPT9aDFmFu2bGFQV1cHLwQAnUJDplGj2gZZCIBOKfP09GQALahctmwZA2gx4SBz4qBwDmghEmjxqa6uLviaRNBJmKCTy0AYFHaga2QHhUNHHUEwBEALZEGLh2VlZRkCAgIYQAsEQfU7aKE5aME5qD1A0JBRBRghcO/ePYZZs2aByxJQ/gBdIwpamAxaiLl7924G0NXkIBq0aE9LSwtD/6jAaAgMVzC6uGy4xuyov0ZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGdAgYGRmBFxKBFpm9ePGCYdq0aeAFFwUFBQyghWba2tpw+dHrM4dvUgGdZANaZPbgwQOGrKws8JVpIDHQ6USgdDF8fY7dZ9zc3AygBWZiYmIMoEUDz549w65wVHTIhMDmzZsZgoKCGGJjYxmWLFnCwMLCMmTcTi+Hfv78GZz3Qdcmp6amgq9SvnLlCvjEK9CiGXq5Y9QeykIAdO3ilClTGExNTRlAC5vWrFnDkJuby/Dw4UMG0IIn0EmlXFxclFkywnSDTnUFlSHp6ekMoLoRlEdAp5KBFiOD6k7QlaJ3794F5x8XFxeG0dPJRlgCGfUuHIwuLoMHxShjNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAgMzxAALaQBTTqvWrWK4dWrV+BJaNAk6Zw5cxhAVz2BTrkCTayCJlh//vw5PANhhPtKVFQUvJjw0aNHDM3NzQygtKCiogK+Au/JkycjKnT4+fkZduzYwcDGxsbg5OQ0epLfEI79FStWgBeWJSYmMsyYMYOBiWl0+hs5OkHlPeiaRHl5eYba2lpwWIEWyoBOLwMtTkJWO8oenCEAus54+fLlDD4+PgzS0tIMlZWV4IVloGtgb9++zVBTU8MgIyMzOB0/CF319+9fBtCi+87OTvACY9DpZKBTXUFiUVFR4PYRaOE1qI5MS0sbDdtBGIejThoYMFq7Dky4j9o6GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCAxICoNM4QAvLQCdygBYanTx5Enziz6lTpxj8/PwYREREGEJCQhgWLFgwuuhmQGKItpby8vKCF5TduXOHobW1lWHdunUMoJNaQIsPQQsVaGv74DEdtNgOdNIP6JpAd3d38JVyg8d1oy4hJgRAi2Ojo6MZCgsLGaZPnz66sAwp0EALyECnE4KuwgWFTV5eHvh0K1C5P7oQCSmgBinz379/DKCrSkGLvkEnjYJO5QMt/Aal+efPnzMsXLiQwd7enmH0GlPiIhBUt4GuCgVdEQ0q+0GL6kGnuYIW1oMW7r1584bhzJkzDKBrxUHto9HTD4kL11FVIwuMngk6suJ71LejIQC+Ixp0ZCooKDQ1NcE7FEBsZAw6/pOHhwdZiGHXrl0Mp0+fBouBBh6KiorAbEIEaDDi8OHDDOfOnWP4+vUrg5qaGoODgwODl5cXIa00kb906RLD/v37GUCdZEFBQYaNGzcygBpjoMYELguJUYNLLzXFt23bxvDp0yeGiIgIDGMHWzhjOJAEAXR/ovNJMGpU6WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGAIEQAJ3yY2ZmxgDCoNOsQIvNQFcGbtq0iSEzMxM8fmpsbMzg6enJ4O3tDb6KC6SHgLGj0kMgBEDXQ4IWn4DiGXT6U0tLC4OGhgZDcHAw+ISzkXCqEegUINACMzs7O/C8BYiNPj8yBKJyRDoRdEpZdnY2Q2lpKXhByIgMBCyeBs3HTZgwgWHZsmUMoNPK2tvbGUCnL4Hm9rAoHxUaZCFw9epVhsWLFzOATpYDLSIDlcPV1dUMCQkJDOLi4oPMtYPXOaDrjvfu3cuwb98+BhANutoSVLbb2tqCT/Dz8PBgAM2TD14fjLpsNAQGH2D8/////8HnrFEXjYbAaAgQEwKg4zjDw8MZSMnG2traDA8ePGCQkpICDwZMmjQJbBWosQk6RhW0gOz9+/fgBoq/vz9Dd3c3Ax8fH/iIbFBD5uXLlwysrKwMb9++BevDRfz58wd8LGtPTw9YCWghF8idHz58APNBlTaoYQsSBwvQiQCtQgd1Nq5duwZuNIDuJAf55d69e2AXHDt2DNzQAN03D2ukoasBKxwAArQoD7TTBNQAglk/0OGMLbxgbiOXRvcnOp9cc0f1jYbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgM7xAIDQ0Fe3D16tVgGh8BOuVh5cqVDPg2HOLTPyo3GgIjJQS+f//OcPToUQbQVZmgTbgPHz5kEBYWBl8jCDrZA3TKGehElZESHsPdn6CTctauXQteWHbjxg3wYivQNXqghYfD3e+3bt1iAC0w09HRYQAtruTg4BjSXiZn/mgoeRg091RWVsbQ2NgIXigylNxOK7eCTrkCXfMHSr+GhoYMBQUFDKBT3ZiZmWll5ai5VAKgeT/QCZKg00IvXLgAXhQIOmgiKSkJfGgHlawZ1sZ8/vyZAXQK6549exhAGDTvDUr7+vr6DKD2CgiDFpaxs7MP63AAeW64l/8gP47iAQGrR6/FHJBwH7V0NAQGNgRAHSTQ8Z+whWWgYz6dnJzA90uD7pIGdRb5+fnBp5yBKltQhxIkBtIDunOaGNeDBuZAjXvQwiBQJ/Tdu3cMoBPTQPd/x8TEMOzYsQN8ehhowRkx5tFKTU5ODgOoAwIzH3TKGsivoN0AMDF0NTDxwUAPdDhjC6/BEC6jbhgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREKA8BEAn3YDGiEHXqIE2LYM2v4LGT0EblHNzcxlApz6BrpaqqKgAX9810OO9lPt4ZJsAOpEOtFD38uXLDBs2bGB49eoVg7m5OYONjQ14sn44hw7o1pWdO3cynD9/ngG0qf/379/D2btD2m+gBVSgeZ2+vr4Rv7AMlE5Bi+pBhySAFs6AymbQqZOghTWgG3xAi2uGdGQPY8eDylfQgRig8hV0wlxbWxsDKA5PnDgBPiQEdD0jqFwaxkFAkde+ffsGrpdA7Q9QO0RAQIABdL0xaGGZtbU1A2gTCehwEdAcOCgsQW2ZkbCwjKJAHdU8GgIEwOi1mAQCaFR6NARGQghMmTKFAbQDDbSi28DAAOzlpqYm8Epu0FGhoJ1KoA4lWIIIAnTE6Pr16xkcHR3BFTuoQwrSBrqfGnT/t5WVFfje6i1btoAHHECNJZA8MgYtaIPpQxanNjs+Pp6gkYTU0Mut6A4dSuGM7nYQf6DCDWT3KB4NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHRECA9BJSUlBhA1yiC8NevX8G3QIDGeZcuXcoAWvAhKirKANpw7OPjwwA61Qw02Uu6LaM6BjoEQGPzvr6+DCAMOg2poaGBwdXVlQE0YV9eXs4Ail/QCZAD7U5q2w864Wbr1q1gv0ZGRjKArgoFzWtQ255R88gPgfr6evBNO6DDE0AHA5Bv0tDWCSp/58yZwwBaYPfkyRPwKYOgm4lAi2yGts+Gt+tBh3CA5lxBCwIPHjzIADohMSAggAF07SWojB0tb3DHP+gmp4sXL4LnnUELyECHX/z8+ZMB1C4BLRwD1U3Ozs4MQkJCuA0ZlRkNgdEQoAiMnlxGUfCNah4NgeERAqCrDUGLykAY2UeJiYlg7qlTp8A0sURzczNYKWiVPagTCuYgEaBrNWfNmgU+uQx2TSZI+vr16+AGMGgAgpubmwG00wLUyALJwTDoukpQhwF0VzbolDXQan5lZWUG0NGwoMY0TB2IBjWkQYviYA0L0CI69J1zeXl5DDB/gu6cnzFjBkgr2DyQHIgDomFqQHwQprZbQSe6ga7rBO1CkJWVZQB1XEFu+fv3L8g6rHigwxlfeCUnJzOAOjQgP4HiE+YBYsINphYfDUo3WVlZDKAjykHH7gcFBTFs27YNRQso3nC5A0XhKGc0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ4DkEACN4YIWH82cOZPh0aNH4JsxQIvOnj59Ch5fFRMTAy80a29vZwCdooM+NkuyhaMaBiQEQKfqwCbyBQUFGfz9/RlAV+4tWrSIAd/49YA4lgqWWlhYMICugAUtMktJSWEAbZKmgrGjRlAYAqDyo6ioiKG1tZVh3rx5DKB5IgqNHJLaX758CT6tTU5ODrwgCXTb0L1798BXF48uLBucUQq62QlUXoLqS9Bpn6B0zMXFBU7HL168YFiyZAmDp6cnw+jCMtT4A9UvZ8+eZejq6mLw8PBgAC1WB6Xx6dOnM4DmUefOncsAmisGnagKaoeA5oNHF5ahhuEobzQEqA1GTy6jdoiOmjcaAkMsBEBH5oKOCTUzM8NwOeiOb5AgqZUx6Nho0MABqBMG0o8Ng04rA2GYHGj3E6hxAFqIlJ6ezgA6bn3z5s0MISEhDKBT1EBHrYPUgu4af/PmDfhIbkVFRQbQneOgE9fmz5/P8PHjRwbYYjTQYi1vb2/wqn/QwiPQIjeQGaDGB8gcGD5+/DgD6FhUEB+0sOvKlSvg42ZBbBUVFZAwA7IakAC13bp//37wTijQVaSgBXMiIiIMu3fvZsjMzGQAdQpADSeQveh4oMMZFEbYwuvSpUsMoAYxKPxBbCMjI7DTiQ03sGI8BGjRGijtgHZ4gI51BoUb6LhyUMO8t7eXoaCgAKwbZDc2d4AlR4lRMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAlQLAdApVqBxQBAGncACGnPdtWsXw44dOxhAJwxVVVUxgMaM3dzcwNdWgWgQn2oOGDWI5iEAWmQGwqCTY0DjsKAN36Cxe9D1hCD2cFoY4eTkBF5gBjp9j5eXl2Hy5Mk0D99RC3CHAGhhGWjhKugKwQULFjDExMTgVjxMZa5evQo+pQx0SiRoTgQUHqDN/cLCwsPUx0PbW6AFZaBTPUEnlIHmr0DXk4JO1wKdNgdaEAgqV4a2D6nvetBiMtAcMGgu8ejRowygm7VA4QiaNwadiApaWAqqg4yNjalv+aiJoyEwGgLEgf+jYDQERkNgyIbAypUr/zMwMJDkfi0trf8eHh4E9bx8+fK/jIzMf1ZW1v+XLl2Cq4+Li/svJCQE56MzXr16BXaTmZkZuhRO/r9///4bGRmBzX369Clc3a9fv/47OTn9Z2Nj+3/z5k2wuImJCdj88vLy/yB9IMG/f/+C9fPz84O4YKyvr/9fUFDw//3798F8EHHr1q3/XFxcYP3Xrl0DCf0HmaeoqAhmg4iOjg6w/Pnz50FcMEZWA7KT2m5NTU39z87O/v/9+/dg+0DE9+/f/0tKSv7X0NAAccHY3t4eHCcgzmAJZ2zhBXInKF26u7v/v379Osi54LgiNtxA+kFpD6zx////6Pzo6GhwHJ04cQKm5P/Pnz/haeXt27dgcZA+dHeAJUaJ0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYFhGQIhISH/QZgYz4HGDEBja8SoHVUzGgKjIUB5CNy9e/f/hAkT/ru4uIDHQkF5EDRWDRrn3b179/8fP35QbsmoCXQNgdu3b/9PS0v7z8LC8l9BQQEcv9++faOrG2ht2dq1a8H+q6mpobVVVDcfVMeB8hnVDaazgX/+/PmfmJgInidat24dnW0feOsOHz7838fH5z8jI+N/FRUVcD77+vXrwDts1AUYIfDu3bv/CxcuBMcXaG6Vg4MDzAaJffr0CUP9SBcA1RcHDhz439jY+N/Z2fk/Nzc3eO5PXFz8f2ho6P9JkyaB56dB87IjPaxI9f9wKf9J9feoepqDVaPXYhK3Bm9U1WgIjKgQAK2m19XVZQAdX97T08MAYhMbAN++fQMrJWXXGehIdBAG7QaSkpIC6wcRoOszExISGH79+gU+yQskBsKgU80aGhoYQLvhQHzQqWTW1tbgk8tAp1qdOHGCAbR7CnRtooKCAkgJGKuqqjLExsaC2eQSIHeCMLXcCnIH6Ahc0BWeyKeqgfwM4n/69AmkBAMPhnDGcBSaAOjaTg0NDbAoKMxAmNhwA2vCQoB2KSxbtgx8Zaq5uTlcBRsbGwPoylRQuK1btw4uDmIguwPEH8WjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgL0DQElJSUG0Ek7oBsbQGN8IBp0EwHo9gpXV1cG0O0ZILqzs5Ph+vXr9HXcqG1khQDo5g/QVWS3b99mAJ3wVVlZyQAajweN3eMa1ybLogHUBLoVBXTSUFtbG0NHR8cAumRkWg06ySgxMZFhxYoVDJs2bWIAnfg0EkICNM8BukZRT0+PAXSLy/v37xlWrlzJcOPGDXA5CrpScSSEw1DwI+ia0tmzZ4OvbQTNi2ZkZDCA5qsWL17M8ObNG/B1paAbeEZPKmNg+Pr1KwPoimVQHQGq70H1PuhEshkzZoDbAKCTyc6cOcPw/PlzhlWrVjHk5uaC56dhc8FDIT2MunE0BIY7GL0Wc7jH8Kj/RkOAhBAA3UtdWFgIbuyAOoag43VBx7SSYAT4nmsODg7wPdfE6gN1PkFq7e3tQRQKBh2jDhK4desWiAJjUAMNZAeYAyUEBQXBrC9fvoAb2CCOgYEBiELB2traKHxSOdR2K8h+0AIs0DHxoKPEQVdwPnjwgAFkD6gDjrzYDqQWhkH3iYPCAHSfOEyMEA0yE6SGWuEMMgsXBh1Ta2pqCpcm1W64RjTGzZs3QUf1MYDiOTw8HEUWFF4gAVA6BtEgjO4OkNgoHg2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BUTAaAqMhMBoCoyEwcCEAWhgBGncGYdCCnTt37jCArg0D4ZaWFoaKigoG0EZh0NWZIDWgyWfQRtyBc/GozfhCALSgbOLEiQyg61BB1xb29/czTJ06lQF0ZR9oQSFs7B6fGYNZLj4+HjwenZOTA140AtosPpjdO1zcBlpgFRkZCS4bQAvLQGXBcPEbLn98/PiRAXTtJ+jQB9CipYCAAAbQwiXkjfa49I6K0y8E7t27x7B+/XqGDRs2MBw7dowBNFfn4eHBAFoQCFo0zcPDQz/HDGKbPn/+zHDy5EnwgjLQVZegQzZA+Rq02Bx0YAio3gDRlM7bDuIgGHXaaAgMOzC6uGzYRemoh0ZDgLwQWLJkCUNmZib4NLCuri6GvLw8BnZ2dpINA50iBur4gxb4/P79mwF0+hg2Q0D3Zfv7+4NPm5KWlgYrAXVCwQwk4ufPn2Ae6D5yMIOBgQF0chmMjU7///+fAbTzDSSOrAfEB2FQIw9Ek4tBOw1AeqnlVpBZ3d3dDHV1deDwBi38AnWSQB1x0GKz+/fvg5Rg4MEQzhiOQhJATzukhhuSUShM0CI8kADIfPS0JSwszBAdHc2A3BAFqQOpH8WjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKDMwRAG51BGLQYCTTxDBo7Bi00A51uNn36dPCYtYmJCQNo3NTZ2ZnBysoKPJY6OH0zcl0F2hQOOpEGtAhrypQpDJMmTWIAjXEnJSUxlJeXM+DaSD0UQgyUNkELf0pKShj4+PgYUlJShoKzh6wbQfNCYWFhDAcPHmTYtWsXOM8PWc8Q4XDQfBoov8ydO5cBNK8FutEHlNZAhwwQoX1UCR1C4OrVqwygW59Ap22CFpSBFjyD6qT58+eDT9QbPZmMgQG0IPLUqVMMoDocdELZ+fPnGf79+8cAWkwGCqu0tDQG0GJxOTk5OsTYqBWjITAaArQAo4vLaBGqo2aOhsAQCwFQgwh0LKulpSXD8uXLGSit2EEd/cuXLzOAjn0FdRyxBQfoKGnQQiHQ6VawBUCHDx9m8PHxQVEOOskLJABqfIBoYrCioiJYGajjgX5MMuhUMLAkmQTMbGq59fXr1+CdeKATtkCneyE3QEFHwOJz5kCHMz63octRK9xg6QC0gBG0IBLZHtAR2aCdEKCdj8jio+zREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYGhEQKg68QcHR0ZQBh0qhloDBk0kQ+arN6xYwcDaMwUtPkYdNoJaLIahA0NDRlAm3GHhg+HvytFREQYQIvMQItjQItlQFedgq7PBJ0AVlNTA779ZCiGQlVVFfgEM9C1d6CTiSIiIoaiNwa9m799+8YAOpjg7Nmz4FPLhvOpXaDTnECLytatWweel6utrWUApS9+fv5BH0/D3YGgRVGgxVGgxWSgeVPQ7UqgeTzQCWWgxbLu7u7gkwyHezjg8h8ofEBXWIPqZxAG1dGgOU4WFhYG0I1UoEVkoEM1bGxswFde4jJnVHw0BEZDYGgBpqHl3FHXjobAaAjQIgRAnSJQY3XNmjXgBiyldoCOLget2gc1HK5cuYJhHGjH2YoVKxhA10F6e3szgDr/oEEDkDi64gMHDoB3aoAaauhyuPigRVegU6327duHouTPnz8My5YtQxEjlUNttz58+BC8cj8oKIgBeWHZ48ePGS5cuIDXeQMdzngdhyZJrXAD7WAENeBBOxdBJ+MhW9Pe3s4AOmIdtDMCWXyUPRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMDRDAHRbAeiaMdBCszNnzjA8e/aMYeHCheCTUCZPnswAGgsWFxdnAJ1yNGvWLAbQ6TJD06fDz9WgBVigazFBt3OAFtBs376dQVlZmQG00f3mzZtD0sNtbW0MBQUFYD+ANu0PSU8MYkd/+fIFfADBpUuXGPbv388wHBeWgRblgBYsgU5gtLW1ZQBdsThv3jwG0OIl0KIl0FzdII6iYe000Il5oBO3QOWWjIwMuH4BHaIBWlAGOnACdDIX7OpL0JzmsA4MNADKm6A51+bmZgYvLy8GUN2so6PDUFhYyACa5wwPDwcvBn3//j34KkzQ1a5+fn6jC8vQwnGUOxoCQx2Mnlw21GNw1P2jIUBhCIAqetACMNDiH9AR1diMA60wRz9RDJs6mBjoeOv+/n6GxMREBtBpaOnp6eCV6oyMjOD7x0G7lECnS4EGAUCnloHUg47K7uvrY8jKygJj0OIw0EIw0II30I4m0ElVMPMJ0aCjgkHHVE+YMIEhOTmZAcQG2d3Y2MgAOroan355eXmwNGggAuR+0MlqYAEoQW23qqurM4A62StXrmTw9PQEL7gDrfAH7VABHa8NarCBOtogdVAnwCmQWwYynEEOIRReIDUgDHIrNeIY1GAHLSIDHTseExMDPk4dFE4bN25kAC22c3V1ZQDtWgTZOYpHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGVwhISkoyhIaGgjHIZ6CFGaDFACBcVlYGHv8FqQGdlgI61Qw0rg0amwSpHcUDEwKgOQDQdWig8XbQCUCgBVpaWlrgBQqgE86MjY0HxmFk2trd3c3w6dMn8ILGrVu3gk/ZI9OoUW1IIfDhwwfwHAno9pm9e/cygBauIEkPeSbo1hXQIjLQnA7ocAHQAh3QXBBokdmQ99wQ9sCbN2/ACxlBC/42bdoErkNA5ROozAItWgaxh7D3yHY6aCE36PRAUBoFnbB3+vRpBtC11aD6FVRmV1RUgOfizMzMRvQJbmQH8KjG0RAYomB0cdkQjbhRZ4+GALVCANQw+P//P8O5c+fAGJu5oIVZoE44NjlcYqA74UE7xvLy8hiQF62BzHJ2dmYAHYeNfP0maMEQ6FrDiRMnMkyfPh1uLOgIYJAYXIBIBmgn29evXxlmz57NAGqwg7SB7AXtkIqNjQVxsWLQ4iQLCwuwG0BHuoJ2x6ArpKZbQaeVgdwHuj4UtIofZJeQkBADqIPBzc3NAFpYB+pEoZ/SBVIHwgMdzsSEF8idIEytcAMtGAQdjQ0aLFq1ahXIaAbQUbugBWegY/FBaQwsOEqMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgM6xBQUlJiAC0CAGHQzRUXL15kAC00A+Hc3FwG0MZnkBrQQjMQBt2QAdqsOqwDZZB6DrShHHRqGWjTMGhRFmgzOOjkOVC8gE7DAY3LD1KnozgLNP4MmsMALRYCzZuAbtkALWZEUTTKISkEXr9+zQCaawAdhgA6IQp0gwlJBgxixaDFcjNmzGAAHboAKqOioqIYiouLGdTU1Aaxq4ev00DzoaDrLkFlEGhBGWgBFWgBLOgqZtAcFmieTlpaevgGABafgdIl6JAL0HwxaCEZKA+C0i1o3g2UTkHlG6iOBZ20p6ioiMWEUaHREBgNgZECGP+DStGR4ttRf46GwDALAdDCGtBRo6RkY21tbfDVl6AjqMkJDtBiJ9Bxz2/fviVKO8htoCNRQQu1QMf56urqolz/iG7Iq1evwNdBghpzenp64GsO0dWQwgftALl8+TKDpqYmAymNHtCqfNDCLxDGZR813QoKT1CDFrTqH7QTAtRBBdkLEgd1qAh1pgY6nIkJL5B/QJha4QbqvIPCDHS6GyhdgU6sA5k/ikdDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERmYIgE4zAvl89erVIAovBo29gE6SB51KgVfhqORoCIyGwJANAdDm4+PHj8MXm4E2WDMzMzPo6+szgBY0gbC9vT0DaNHTkPXkEHY4aEwbNNcAOsnsxIkT4FNwQNcCgq5BHQreAm0IDwoKYgAtxACdtAU6zWcwuZuc+aOBcD/oqkHQwjLQeD8oHEGLQQfCHdS2E1TegG7XAZ3WJyoqCl4EC7puUVBQkNpWjZpHIAS+f//OAFo4BVpMtn79egbQvKGYmBgDaLExqLwBXXuJby6QgPFDThp08uKpU6cYQAvJQOECwqAwAi28Bp1EBrodCLSgDHSqHugWqiHnwVEHMwyV8n80qoYcWD26uGzIxdmog0dDABEC5FQO9F5chnDtKGs0BEZDYDQERsFoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCNAuBEYXl9EubEdNHg2B4RACoE2vBw8eBC82A502BdoUzcPDwwA6MQu00AyEjYyMGECLT4eDf4eSH0CLHDo7OxlAi80MDQ0ZKisrGUJCQgZ9XICuifP392cAnX504MABBtDG8cES7uTMH9Hb7aBFPqAbZ5iYmBhAC8uG+olR//79Y9iwYQNDX18feDET6GS+oqIi8DW+oFOg6B2+I9k+0KJFUDkPKlNAh22ADikA5U/QYjLQiYOgBVQjoaz/+fMn+EAP0GIyGL516xa4bAUdymFpaQle2Aui1dXVweIjOd0MF78PhfJ/uIT1CAOrR6/FHGExPurd0RAAhcCFCxcYQLsyQY2FwsJCkBBBPH/+fAZQAwzU+CCoeFTBaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAyiEACdVANahArCIGeBbtsALWgBXaEJug6toqKCAbS4BbTYBXRFGuhUM1JuwwCZOYrJCwHQKTkgDLqpAhQXoBtbdHR0GEpKShhA1wgO1oU5bGxsDGvXrmUAnXzk5ubGcOjQIYaBOHnr+fPnDA0NDSiBf+/ePTAfdDUsmAElpKSkGOrr66G8gaNA1+6BFnSCbrEB5UHQrS4D5xrKbAadugY6oay/v58BtHDHycmJYdOmTQyghUyUmTyqm9gQAJ0keOzYMQbQgrJt27YxgK5IBi0eBp2KBzpBztvbm0FCQoJY44akOtBpkLdv32YAzeOC8MmTJ8ELy0CLYAUEBBhAp5KB5oZBC6pBp5KNnqI3JKN51NGjITCgYHRx2YAG/6jloyFA/xAAdXBAu0FAOyhADQ1iXQBSC9ID2mkxko6HJTZ8RtWNhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAydEACd2gLCOTk5DH///mU4ffo0+PQk0IKzrKwsBtA1YXJycgwODg5gDFpsNhALh4ZOiFLuUtCpZatWrWK4fPkyQ3d3N0NSUhJDY2MjQ15eHkNGRgYDaCES5bZQ1wTQtXGg6/ZgixJBC8zk5eVRLHn27BnDsmXLwIvlUCSoxAEtmgG5AXRaE+jqV5CxoDkd0KI80MEBID4IgxbggE7SArFpjUFuAR10ALp6EN2umzdvgq+mBS34BC0GEhERQVcyJPh37txhmDRpEsOCBQsYQOGdkJAAXlSmqqo6JNw/1B0JOn0SlH527NgBLrtB1z2qqKgweHp6MnR1dTGAyuzBWGZQK9w/fvwIrrdAJz+CTk8EXS/85s0bBlC+V1NTYwBd1ZucnAw+mQxU14FOCKSW3aPmjIbAaAiMTDB6LebIjPdRXw+TEAB1skA7eECN1mHipVFvjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIwCskIAdhrR6tWrCeoHXYW0cuVK8On+BBWPKhgNgdEQGHEh8OfPH/DJN6ATlUAT96AFQ6CFC6DTlUAnbIFOXAJdqwa6Zg1Unoy4AKKTh0Gnb02cOJFh5syZDOLi4gyghVGpqakMoAVddHIC0daAFnWAFrOAFnCB0gtowRdI8/3798GLE1+8eMEA2vgPWlAFEqc2Bp28B7qOEWQ/PrPPnDkDXnSCTw015IqLixmmTp0KvhEHdBIgzEzQiYGg/AM6JRC0KEhISAgmNWRoUJkAWlS2bt06BtACVNDpcKB0ORT9MmQCnYGB4cePHwygsAeVyyB87tw5Bg4ODvDiKVCaAp0UByqTh5KfiHUrKF9funQJ7H/QQjIQBuUl0PwwqF4CLSQD1U2gegnE5uTkJNboUXXDMARG1w8Mw0gdHGD16OKywRERo64YDQGyQmC0ciAr2EY1jYbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAzDEBhdXDYMI3XUS6MhMEhCANdiM9ACIltbW/DiBtDEvpGREcPoYjPqR9qjR48Yent7GebMmcPAzc3NADpZrqCggAF01Rv1bSPfRNAJZaD0ALqOb//+/QyvX78Gn5707t07BtAikKqqKvBJbOTbgFsn6BpAAwMD3AoYGBhAJ6qBrqPEq4gKkqCFdCC7QAtiQCdHgRYCgRa9gK49Bd2uAzpFaevWrQxD6Zacnz9/MoAWpff09IBP1gMt4AGdqDeYr22lQlQOuBGgBaag9APCoMWIoCtIQSdIghaT+fj4MICuvQQtMBtwh1LRAaCTNEELx0ALQUFXW4Iw6DRHUD0kKioKvt4SdMUlDI8uaqRi4A8To0bXDwyTiBx8YHRx2eCLk1EXjYYA8SEwWjkQH1ajKkdDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGdwiMLi4b3vE76rvREBhMIQCa5Act5gEteACdpHP48GEG0BVloNO17OzsRheb0SiyQIu1QKdhgU4z+/fvH0NmZiZDaWkpg7CwMEEbDxw4wGBqagpenEZQMQUKQAvhQGmAn5+f4enTp+B0AUovICP5+PgYQAvQQAvkQHxqY9BVeLdv38ZqLBsbG0NlZSVDQ0MDVnlqCoIW/k2bNo0BtLgMdE0naIHZ9OnTGQoLCxn09PQYQFd4ghbgUdNOWpkFWig3Y8YM8ClsoNML/f39wSfoWVhY0MrKEW0uaCEmaGEmqGwFXXkJOvkPtIgUtJgMdMWqh4cHg4yMzLAJI9BCshs3bjCATiKDYdB1sl+/fmVgZWUF5xfQwkzQYkYQBp3MNrqAedhEP808Mrp+gGZBO9LB6OKykZ4CRv0/tENgtHIY2vE36vrREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0B6oXA6OIy6oXlqEmjITAaAqSFAGiBAGhBAGih2dGjRxl2797N8OHDB/BVjqCFRqDFAaMnm5EWpvhUgxb5gBYrdXd3g6/KS05OZigrK2MAXbWITR9ocZeysjKDrKwsA2jBCq0Wd8HsXrt2LUNERAT4tDJQ2oCJgxZaTZkyhSEjIwMmRFW6paWFoampCbyoC5vB165dYwCdGoZNjlpiz58/Z1BQUGD49esX3EiQv0GLAUGnuu3atYsBtNgMLkknBujENpC7iLUOtNAHtIhxxYoVDIKCggyJiYkMubm5ONMYseaOqkMNAdBVl6AyE7SYDIRBp9uBVIBOgQSdcgdaTAZayMfCwgISHtIYVBbgW0imqqoKvrIWtIgMhEGLYQcir4yCoR8Co+sHhn4cDlIwurhskEbMqLNGQ4CoEBitHIgKplFFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAiMgBEYXl42ASB714mgIDJEQAC0iwLbYTExMDHylGWihGegkHtACitFTaMiPVNDpPqCrMkGLzECnmoWHhzPU1tYygBZpIJu6ZMkShvj4eAYmJiZw+IMWONFqgdmhQ4cYPD09GUDXKILSAbI7QHENui7y7t27YLcgy1GDDTIX5HfQFZzI5oHs1dXVZQCdtocsTgs26KpI0ElfoFPLkM0HLTADXYMJWoCpra2NLEVzNmghYk1NDQPoVDl88Q5aAAe6rnPSpEkMoIVOhoaG4IWAsbGxDJycnDR350iwABTGoAVkoPAFpYWDBw8yIF91CSoXnZ2dGYbDVY+gUwpBC+dA/gQtVgTVCaAyC3QiGSifghaQwbCJiQnDcLvecySk58Hqx9H1A4M1ZoY8GF1cNuSjcNQDIzoERiuHER39o54fDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQQAqB0cVlSIExyhwNgdEQGFQhADo5C7S4ALSQAoRB12iCFlSAFpvZ29szwDDoyjPQAqhB5fgh4BjQKVmgE6ZAJ3eBFlgFBwczNDY2gk/pAi20Ap3WBbouErSwBbSwA7SoD3S6HGixEzW9t337doaAgAAGUHyD7MJmNmih1/r16xlA1ytik6dUDOQ30CIyZPtBfm5vb2coLi6m1Hi8+rGdWoasAXT6FOhqUNCCGw0NDWQpmrFBJ7nBrgIFLTJLT0/HsAt0pe2CBQsY+vr6GJ48ecLg5eXFkJ+fzwBa6ISheFSA5BC4d+8eeLEeaEHZvn37GN6+fcsgKirK4ODgAA5j0AllpJwqR7ID6KABtJAMVMbDMCiNv3//ngGU5kHX1cIWkYHo0YVkdIiQEW7F6PqBEZ4AaAdGF5fRLmxHTR4NAdqHwGjlQPswHrVhNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYGiEwOjisqERT6OuHA2B0RBgYACdaAU6xQZ0og1oEQJo0QVoIQJosZO5uTkD7BpN0Alno6fZEJ9iQAuqQFdS1tfXM9y8eRO8SAh0FWN5eTmKIaDFVqBFWNRcYLZlyxaGoKAgnFdSwhwAOsHLzMyM4dixYzAhqtITJkxgKC0tBS9wgxkMWtAGOrVLRkYGJkQTOjs7m2H27Nl4wwC02Aa0sAjkf1ouKAItKgQtpgOFB4gNCgMVFRVwugCxQQFw69YthqlTpzLMnTuXARQvCQkJDIWFheBrPUHyo5i8EACltQMHDjCAMGgx2cOHDxl4eHjAi2hBp5KBFu3p6OgwwOKBPFsGRhfoRD5QuoEtIgPRoLIcdCIZKG2PLiQbmHgZtRU1BEbXD6CGxyiPamB0cRnVgnLUoNEQGIAQGK0cBiDQR60cDYHREBgNgVEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwKENgdHHZoIyWUUeNhsBoCBARAuiLzUCLzkCnQIEWlpmamjKAFpmBFpyBsICAABEmjmwloEVm69atY2hra2MAXcEHWjgECmPkUKH2AjPQ4pLJkyczgE4I+/btG8riLmR7YeyTJ0+Cr+iE8alFv3jxgkFaWpoBFAYgM0En4VlaWjKA0hSITysMOvFLSUkJ78IykN2guODi4mIAXWWK7RQxkBpKMegkO9BVlmvWrIGHA8xM0EJO0GKziRMnMoCuwFRWVmbIyclhSE5OBi+AgqkbpYkPAVDc79+/H7yYDLSgDHRSGTs7OwNooayjoyP4dDIQG5TniDd14FWCrtoFLRwDlSEgGnQiIGjRKqgsAS0E1tPTYzAwMGDQ19dnAC1WBV09y8bGNvAOH3XBiA+B0fUDIz4J0AqsZqGVyaPmjobAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAjgDwHQghvQdWkgDLqOD6QadM0a6FQz0KKgXbt2MXR0dDCAFsWAFvCAFpmBFpyBTgAC8UHqRzEiBEALqkJCQsCLhTw9PcEnxSFkISzQCUTnzp0DL3wBLTgCLRaByJBHcnNzM1RUVIAXKoFOwwJd0fnz50+si61Ai2y6uroYQIufyLMNty4JCQkG0GltoHQDWgQDOh0qLi4OtwYqybS2tuI0CRQfoLQrKSnJkJeXx5CRkcHAz8+PUz0lEqBFfoGBgQygE7NgC+xg5oHyGejaUpAaV1dXBtBpcx4eHgwg98HUjNKEQwC0gBF0tS8o34DS2bVr18DXP4IWWYEW+oPKJVAZxcnJSdiwQaICVN6CTiGDYZCfQIvkQM4TFBRkAF1ZDPIX6BREUDkNump3NN2AQmcUj4bAaAiMJMD4H1SbjyQfj/p1NASGUQiMrjweRpE56pXREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BikIANKEJMmD16tUgCi8GTbavXLmSISwsDK+6UcnREBgNgdEQGCwh8OnTJ4ZTp06BT6ACLToDLe4ALV4CLdgBLTQDLeYA0YaGhqOLZaCRZmVlxXD69Gm8p4iBFnqBwgy0UIbSBWZQa8HU58+fGaZNm8bQ3NzMAIqnP3/+gMVhBGhhCuh6PdDJWTAxatGgax5Bp4KBFpeBFlS9fPmSQVhYmFrGY5jz+PFjBpA/QAv2kCVB1wSC/A1aiANaeBcZGckACm9kNdRkv3v3jgG0WAx0yhS6W2D2gOr/HTt2MLi5ucGERmkCIfD06VOGgwcPwk8mu337NjgeQde7gk4mc3BwYACdjgc6kY6AUQMuDcqLV65cYQClERgGnUgGyq+gvAK61hK0SA5UJoBOJQNhMTGxAXf3qANGQ4CUEBhdP0BKaI2qJQGMnlxGQmCNKh0NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCdA8BPj4+8ClboNNzQJaDrl4EnbwFWmgGOj2osbGR4f379wygBVKgK+hgi81A9FA6QQjkN2rg48ePM4AwIbNAi5BA196BwnX37t0MoHAmpIcYeVA8gE45SklJAV8BOWHCBPAJaqDFViD9oIUsoGs0QeIgPjVxUFAQQ2ZmJvhKSNAJXbRcWAZyN+iUNhANw6AFZKBwBZ3wVF1dzeDj48MAWtQFk6cF/ejRIwYnJycGEA2yG5cdoAVvoIWEo4vLcIUQAwPoxC5QmQIrW0CneIHSK2ihFShtgcoUOzs7mp0+h9tlpMmATiMDuf3q1asMoBPJQGzQwjLQAjPQ9ZUqKioMoDQKOuUQRIMWlIFOICTNllHVoyEwGgKjITBywOjJZSMnrkd9OgxDYHTl8TCM1FEvjYbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCJAVAqMnl5EVbKOaRkNgNASGSQiATqm6ceMGA2xBCOhkswcPHsCvqwMtCAGdbAZagEPrxUaDIUjd3d0ZQIvFiL3ACbQgysjICKwHtDCM2n54/vw5Q1tbG8PMmTPBC61+/frFAFr0B1oAIyAgQG3rGPz8/Bg2b97MsHTpUoaoqCiqmw8z8OHDhwygRTqgRXOghVugqyhBi3VAJ5WBFuvA1NGSvn79Onhh2du3b7FeQ4puNyh+QfExupCIAbzgEXRyF6i8AGHQojLQSXegU8hAi1RBV6yCMOhkssEaXh8+fGC4fPkyA2jhGMgvMDbotEdQ3CsqKjLo6uoy6OjoMIBOJdPT02NQVVVlAC2YA8mP4tEQGG4hMLp+YLjF6KABoyeXDZqoGHXIaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiQEQKghRLa2toMIJyWlgY24f79++BrNEELRkCnNYFOygKdIKWlpcUAWmgGujbSwsICvNACrGGYEN+/f2cA+RF0Chlo8RMIv3nzBnySF8iLoDAAnVwEYoNOuQItiALRJ0+eZHB2dmYAhRVIL0ieWhh0fSko/EtLS8FXZc6fP58B5E7QYjPQCWfUsgdmTnR0NMPevXvBi8xgYrSgQaeWgRaWcXBwMIDSXWFhIYOCggItrMJqJuh0OtBVmKCwBMUhVkVogqArEJctW8aQmpqKJjP8uaC4Ai3AAqVxULkAWoyKfOJhRkYGuGwALShjZ2cfVAECcjvoZDrkk8hAbNDiQtAiUlCeBS0aA+V90LXnoLIQdNqaiIjIoPLHqGNGQ2A0BEZDYKiC0ZPLhmrMjbp7NAQYGBhWrVrFEB4ezgBqNI0GyGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIzkEBg9uWwkx/6o30dDYDQEiAkB0MlOoMUksEUloKviQFfEiYqKMoAWmYFOJwItODMxMWEYrKcUEeNPbGpAC1NevHgBvjbxyZMnDE+fPoWzQSe8gRagvXv3DnySEygcduzYQbUrMrG5B3T1YENDA8PBgwcZbt++zQBb7IZNLTlioGtTQQu9QIvXyNFPjB7Q4kXQ9Yjp6ekMWVlZDEJCQsRoo5qa7du3M4Cuafzx4wfcTNDpaaCFliAB2KJBEBsdg9wNCnt08eHGB51CBlqAB8r3x44dA18PCcrzMjIyDKAwAJ1oCKJBC7KYmJgGhfdBc56g/Ai7E36A9wABAABJREFUxhJ2EhmIDzrxD3TKoLq6Ovg0MtApZLq6umC2nJzcoHD/qCNGwUCHwOj6gYGOgWELVo8uLhu2cTvqsZEQAqOVw0iIZfr4EXRk+t27dxmkpaXxDhr09fUx3Lx5E9ypBh2dLiUlxQDCoEa7srLy6DHC9ImuUVtGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BLCEwOjiMiyBMio0GgKjITAaAnhCALTgCjTeC1p4AltwBlr0BFqcA1q8YWxsDD7FCLQABbT4BHTiFx7jhqbU6tWgnfxgt//9/5/hxY8fDI++fWMQYmNjUOflBYvTkrjx+TMDBxMTgwI3N9Wt+fD7N4MAKyvVzYUZeP/rVwZJDg4GDmZmmBDd6CW2tgwFTU3gRXmga0VB8xWgRZIgWlBQkAEdgxa+IYsNx7QMmucBneQFys+gBWWgxWSgeR/QojHQKV6gfAxaPAo6lYyep8vhSxSgk8hAJ4+BFpCBaNDVliAadLocSB9oERzoOkvkRWSamprgeAfJj+LREBgNAcwQGF0/gBkmoyJUAaPXYlIlGEcNGQ2B0RAYDYEhFAKgXR+gBjpoV86JEycYQLs9QBi0W2XXrl0Mrq6uOH3z+PFjBtDgAugOe9Ax4s+fP2cA6QNpAB2RfPjwYQZTU1MQdxSPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAziEACd8gRadALCoCsNQU599uwZ+HQj0AIV0IKz1atXM4BOhuLn5weP/YIWqIAWnYFOOwKJgfQMaXz1KgPDzp0MDO7uDMyMjAzSnJxgTC8/adBwARstF5aBwkeRBgviQObixZ8+MTDs2sUQVVfHEJOXh1fpcJf88uULw4ULFxhgeRW0mAx0+h4PDw+Dvr4+Q0hICAMov4IwaHHdQIYH6OpN0MI30FwUjAZdz/n69Wuws0AL/0ALWEHXWEZFRYGv9wUtKBMTEwPLjxKjITAaAqMhMBoCAw9YBt4Joy4YDYHREBgNgdEQoFcItLa2MvT39zOAjj8HdfxBx3uDFpMVFBQwgHZ/gHZ84HMLSC+6PGiRGeiIYlCHQE1NDV16lD8aAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMERCAHRTBQj7+vqCXQw63Qy0CAS00Ax0jeaiRYsYGhsbwbdYDJvTzWRkGBhAJ5iBfTxKDOoQAC0G1NFhAJ3GNajdSWXHgfIhaA7m1KlTDCdPnmQA0aCFWqDTyhQVFcGLyJqbm8E0aK4HdPoglZ1AlHGgxakgd4EOOADRIDeDaNCBBSADJCQkwAvHQAvJQIvfQAtbQRi0uAwkP4pHQ2A0BEZDYDQEBi8YXVw2eONm1GWjITAaAqMhQPUQAO30qK6uZrC3twfvXKFGB0NERIQBhEG71fA5GHTCWUJCAkN8fDyDm5vbiOv84QubUbnREBgFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBhDAHS6GWjsF4Rh7gMtIAEtNIOdmAQ73UxcXBx8uhlIrY2NDQPoCj4uLi6YtlF6NARGQ4DIEADdIANaQHb69GnwQrJz584xfPv2jYGbm5sBlL9AcywNDQ0MoAMEJCUliTSVOspAC91A11mC3AhbPAZiX7p0ieHVq1dgS0CLxUALyEAL3cLCwsALykBs0OIysIJRYjQERkNgNARGQ2DIgdHFZUMuykYdPBoCoyEwGgLkhwBstxn5JpCvE3Ra2osXLxi8vLwYFBQUGLKyshgyMjIYQEc0k2/qqM7REBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAXqGAOhkMxCGjTeDrs08c+YMw4kTJxhAV/PNmjULfLoZKysreJMzaAGMmZkZAwirqqoyMDIyUt25Dx48AI87U93gUQNHQ4DGIfDx40eGy5cvw6+3BC0qAy3SAh0OADsdEHTKF2hRGSgPsbGx0dhFEONBi9lu3LjBcPPmTQbQ6WMgNgjfunWL4devX2BFcnJyDBoaGuDFYyA3gtwLWkQGOpAArGCUGA2B0RAYDYHREBg2YHRx2bCJylGPjIbAaAiM9BD48uULA2iHWGJi4qAMCtBgw/79+xlAnY+ZM2eCBxe6uroYiouLGbKzs0cXmQ3KWBt11GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgI4A8BDg4OBtBJZSAMU/nw4UPwQjPQgjMQBo0JgxakgE40Ai2QQcZiYmIwbWTRoKsBdXV1GaKiohja29sZhISEyDJnVNNoCNA6BH7//s0AOuELds0s6ATA69evM/z//58BdAIZaAFZZmYmOD/R6+S/9+/fM4BOHkM+hQzEBs3l/Pv3jwF0eiFoERnoJDJvb2+G3NxcBhBbX1+fgZeXl9ZBNmr+aAiMhsBoCIyGwCABo4vLBklEjDpjNARGQ2A0BCgJgVWrVjEUFRUxfP78mcHR0XFQ79AC7WLp7+9nAF3P2dfXx9Da2sowZcoUhvXr1zOYmJhQEgyjekdDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERsFoCIyGwGgIjIbAaAgMghCQl5dnAOHIyEiwa0BX6YFOQIJdpbl27Vrw2DBo8QpsUQ1oYQ1ogRqpi2pApyqBNl/PnTuXYeXKlQygTc0pKSkMTExMYLtHidEQGIgQAC16BC3QAi0gg2HQCX8/f/5k4OfnZwCd8AU6/a+jo4PB3NycgdJFlvj8CLLzzp074BPIQAvJYBi0iOz58+dgrezs7AzKysrgU8hCQ0PBtJKSEpgGLSAFKxolRkNgNARGQ2A0BEYsGF1cNmKjftTjoyEwGgLDIQSePHnCkJyczLB7924G0IllnZ2dDEPluGGQO9va2hgKCgoYmpubwZ2W4RAno34YDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREEANAdDpR9ra2uCFKmlpaWDJT58+gU9xAi28AS06mzFjBvjGC+TrAGELzgwMDBhA4mCNaMTp06fBcqDFPKArBkEnP4E2NINOSwNdyYmmfJQ7QkPg2bNnDD09PQygTe/UDgLQIsm7d+8ynDt3jgGUHkEYlK6/fv3KwM3NzWBkZAReQAY69Qt0ap+ioiK1ncAAup729u3bDOgYtKjz5cuXYPtA+VBBQYEBdD0tKD8GBAQwqKmpga+2lJWVBasZJUZDYDQERkNgNARGQwAbGF1chi1URsVGQ2A0BEZDYAiEwMaNG8ELy0RFRRkOHz7MYG1tPQRcjelE0G6cyZMnY0qMioyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDNsQ4OPjA1//BzqtLD8/H+xP0AIg0KIcEAYtOKuqqmL49u0bAw8PDwPoGj7QYjMYBi2OAWkCnQYFWngGWlwG4oMW+oCuGgSNmUdHRzP09vbS9FQokJ2jePCGACj9gBaVga5MBS3AKisrY5CQkCDbwaCrLUEnfp0/f54Bhi9evAi+WQa0eAuULkELyGJjYxlANOgKSZA42RYiaQSdAPjo0SPwNZbIp4+BTu8DXUULywOg62dB9oLc4uXlxQA6gQyEQWKcnJxIJo4yR0NgNARGQ2A0BEZDgDgwuriMuHAaVTUaAqMhMBoCgyYE/v//D75SEnRUMui0skmTJoF3vgwaB446ZDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNATICAEpKSkGEAZdFwjSDlpMc+XKFYaTJ08ynDp1imHfvn0MU6dOZQAtogGpAy3eAYn/+vULpByOQfpAnFWrVjGANmqDbs/IyckBn3AGEh/Fwz8EQIsMlyxZwgBaTPb27VsGWJq4fPky0YvLQOkKdBIYaLEjDINOJ/v+/TsDKysr+AQw0GLHkJAQBhANOqGMi4uL4sB9//49A2gBG2jRGGwRGYgGiYEWyIEsAC0gAy0YA2HQQjbQQjIQW11dHbwYE6RmFI+GwGgIjILREBgNAWqB0cVl1ArJUXNGQ2A0BEZDgE4hwMjIyADaGTNv3jyGhIQEOtk6as1oCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgI0DcEQCc+ga7EBOH09HSw5Z8/f2YALfQBLTg7ceIEw4sXL8Di2AjQ4iAQLioqYpgzZw4D6KpMKysrbEpHxYZRCIDSRV5eHgPoVDuQt0Cb9kE0aEHY3r17GVxdXUFcFAy6UhW08AyUtmAYdKUkaCEj6JQ9XV1d8AIy0LWuoIVcID4bGxuKGaRwQAvIYAvGkBeR3bhxgwF0nSbILOQFZC4uLgwgu0Gnj+np6TGA3ARSM4pHQ2A0BEZDYDQERkOAHmB0cRk9QnnUjtEQGA2B0RCgcgh0d3dT2cTBa9yHDx/AnSQmJqbB68hRl42GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgI0CUEeHl5GRwcHMAYtAhow4YNBO0FnWKFflWmuLg4QX2jCoZWCIBOGausrGRYt24d+JQ62KIymC9AG/cPHDjAALt+FbSoC3QaGCgdgdIHSD1oQRdoARdoMVd5eTl4QRmID9r4DzOHGBq0qBH5Csv79++Dr7O8e/cuA8idX758ARsDuvJVVVUVfAqah4cHA2hRnJqaGpgvLCwMVjNKjIbAaAiMhsBoCIyGwECD0cVlAx0Do/aPhsBoCIyGwGgI4AwB0I4gJycnBgsLC4Zp06bhVDcqMRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEw8kIAtCgIdLoZ7MpDfCEAGm8GyS9dupRh06ZNDO3t7QwZ//8zMIMER/GQDgHQKWCdnZ0MfX19YH+AFonhShOnT59mkJaWZgAtFlNWVmYwNDRkiImJAdMgNimLDl++fMkAWzQGo0GnkYHYT548AV/fCnKQgIAAA+jKSkVFRfCpaVlZWeDFY6BFZJKSkiAlo3g0BEZDYDQERkNgNAQGNRhdXDaoo2fUcaMhMBoCoyEwskOAmZmZoa6ujiEkJIRBU1OTITc3d2QHyKjvR0NgFIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCMBDALRQCLRICC6AxAAtOgPdiAE6rQq02Agkxc/PzwBa4AMabwZdp3n+5UsGE5DEKB6SIQCK2/nz5zNUVFQwgK5LxbWgDNlzoLSwb98+8IlkhK6WBJ0+BlokBlowho5Bp499+vQJbDTouk1ZWVnwAjLQgjHQCWSgxWSghWNSUlJgcbDCUWI0BEZDYDQERkNgNASGKBhdXDZEI27U2aMhMBoCoyEwUkIgICCAob6+nqG0tJTB1taWwcDAYKR4fdSfoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgJ4QuDEiRMMoAVGMCWgDcsSEhIMoAU+IAw6mQq0yAdGYywmamiAaR2lh1gIbNy4kaGoqIgBtOiLFKeDFpeBFn3B0gLo1DOQGdjwgwcPGEBXqoLMB12XCUpLIAy6MjMtLQ28aAzEl5OTYwAtZgSpG8WjITAaAqMhMBoCoyEwHMHo4rLhGKujfhoNgdEQGA2BYRYCVVVVDHv27GGIi4tjOH/+PANogGCYeXHUO6MhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCJIQAaJGQr68vQ3Z2NniRD2gBGWiRD+gUKRKMGVU6BENg/d69DNO3bGH4+vUr3PWgE+xAaQIugIcRFRXF8O3bNwbQ4rGfP3+CVXJwcIDTEexkO29vb/Apd6DFYyAxHh4esLpRYjQERkNgNARGQ2A0BEYiGF1cNhJjfdTPoyEwGgJDJgRWr17NAOoIg07vGjKOpoFDQYvJZs+ezaCjo8MAOuI6JSWFBraMGjkaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMApGQ2A0BEZDYDQERkNgqIQAaDFRW1vbUHHuqDupGAKBzs4MgXl5DMeOHQPffLJ3714G0BWof//+JcoW0PWZoAVmoEVjoMVjIAw6zYwozaOKRkNgNARGQ2A0BEZDYAQCphHo51Evj4bAaAiMhsCQCIEfP34w5OXlMezfv39IuJfWjgQdYQ46Zhp0RSZsJxGt7Rw1fzQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2BwhcChM2cYQFdTWltbg289AZ1YRuzCMpBPxMXFGerq6hhiY2MZQGaMLiwDhcooHg2B0RAYDYHREBgNAdxg9OQy3GEzKjMaAqMhMBoCAxoC69evZ3j79i1DZWXlgLpjMFkOCouNGzcy3Lp1i0FXV3cwOW3ULaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCwzgELl++zHDq1Cnw2LSZmRlOny5evJjh169fDNHR0eBrF48ePYpTLUiCm5ubISIiAsREwV++fGHAdhXj8ePHGa5du8bg4+PDAFokhaJphHB01dQYiouLGWxsbMCnl4HCBBReoFtQQCeY/f79G29IJCQk4JUflRwNgdEQGA2B0RAYDYHREEAFo4vLUMNjlDcaAqMhMBoCgyYE5s2bx+Dl5cUgISExaNw00A6RlpZmePjwIfh464F2y6j9oyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjJwRAC8ZSUlIYLCwsGECLmbD5/OrVqwxxcXEMWlpaDMnJyQwHDx5kyMjIwKYULiYrKwtfXHbu3DnwhvPTp08zvH//Hrx4zN/fn6G7u5uBj48PrGfZsmUMU6ZMYTh8+DBYHiw4xAjQdZb79u1jSE1NJcsPgnx8DJ6Wlgyenp5gn4NOLrtx4wbDyZMnGU6cOMFw6NAhhps3bzL8+/ePgY2NjQF0qhkIgxSDFqCBbo4BsUfxaAiMhsBoCIyC0RAYDQHiwOjiMuLCaVTVaAiMhsBoCNA1BEA7bA4cOMCwZMkSqtv78eNHBtDVku3t7QycnJw4zb979y7DzJkzGbq6unCqwSZBrPnY9BIjBtp1RIy6UTWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQK0QMDY2ZtDU1AQvYAJtgpaXl8cwevXq1WAx0HWLYAaUKCwsZPDz84PyUCkODg6wwJkzkKseWVhYGKKiohiEhIQYVq5cyTBr1iyG8+fPgxdNDZfxcdDCuNraWqqdvsbIyAiOG1D8wE4lA82zgBbpgRabgRazgfC7d+/AC81A8QcO9FFiNARGQ2A0BEZDYDQERkOAKMBElKpRRaMhMBoCoyEwGgJ0DQFQZ+fPnz/gI52pbTGoQzVx4kSGnz9/4jX6xYsXDIsWLcKrBpskseZj0zsqNhoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKDNQRAi8ZAp2TBFpGhu3PVqlXgmzdiYmJQpNTU1BgcHBywYtBJaCDFoNPIvn//zrBnzx7wyWRNTU3g07ecnZ0ZQIuk1q5dC1I2KDDoRLBB4RA8jgBdKero6Ag+CW7z5s0Mb9++Zbh37x7D0qVLGQwMDPDoHJUaDYHREBgNgdEQGA2B0RBAB6OLy9BDZJQ/GgKjITAaAoMgBM6ePcsAOgobdA0kvZwD6liBOsXY7Pv06RMD6EQybHIfPnwAHy2NTW5UbDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGSwhER0czgE7JAi0iQ/cT6ErM69evgxeQycjIoEsT5INO1gItegJhZMWJiYlg7qlTp8A0KQTohpTs7GwG0OI20JxDZGQkw4wZM8Cnd4HMqaurY7C1tQUvugLxkXF8fDyDu7s7A2gjPEgc5DcvLy8GUVFRBm5ubgZTU1MG9AVvoCtB0RfWgfR2dHSA7QGZlZaWBnYDSDwpKYkhLy8PxKQLVlRUBJ8KFxQURBf7Ri0ZDYHREBgNgdEQGA2B4QJGF5cNl5gc9cdoCIyGwLAKAdCpYeR0PskJhJ07dzJoaGgwqKurM4iLizMUFRXBjQF19FJSUsDigoKCDKAOF+hkMpCCc+fOMejo6DBISUkxCAsLM4COsMa1OA2kfhSPhsBoCIyGwCgYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BoRwCcnJy4MVjoJPE7t+/j+IV2GlmoAVWKBJEcH7//g1eyJWTk4Oh+vHjx2Ax0DWZYAaRxP79+xlcXFwYVqxYATYbNNYPMiszMxN8mhfIGNDcwJEjRxhgbgeJgTDo2kjQzSageQHQNZ0gNaDFZKAFZunp6Qw1NTUMzMzMDCEhIQzNzc0gLWAM2jgPwmAOEnH79m0GkBmgE89AC90kJSXBsiC2iooKmD1KjIbAaAiMhsBoCIyGwGgIDF7AMnidNuqy0RAYDYHREBi5IVBdXc0AOhGMHiFQVVXF0NjYyBAWFsbw/Plz8EIz2M4i0GlmoF1YT548Ybhx4wYDSLyrq4uhrKyMwcfHhyE1NZWhvLyc4c2bN+AONWjnk7e3N82dDVr0BurQ0tyiUQtGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDACkEQFdjghZugU4vA42Pw6RAfC4uLvAmbZgYjAadFgba6A3jw2jQODdoYRcrKyvD5MmTYcJw+tWrVwxTp05lAMmDxuThEkQwli9fzgAy/+7duwwCAgJgHSD3KikpMYCuiQSN9fv7+zOAro9cs2YNeKwfrIiBAX4iGWhOALSpPD8/n4GdnZ3h6NGj4A3nIHWgeQIPDw+GlpYWhvDwcPDpaCBxQrikpAR8ctrx48cZKioqRq+oJBRgo/KjITAaAqMhMBoCoyEwCMDoyWWDIBJGnTAaAqMhMBoC6CEgIiLCQI/dOqBdQsuWLQMvLHv9+jXDrVu3wB1E0EIymJtAi89AJ5NZW1uDO4g7duxg2LhxI8OvX78YCgsLGUAdS5A86DjtdevWwbTRlA4ICGBISEigqR2jho+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYAeggEBwczcHJyMoAWk8HkYFdigsaueXl5YcJw+t69ewygay/RMWiBFVwRGmPLli0Murq6DE+fPmXo6ekBs9GU4OWCbikBnbAGW1gGUgwa1wfxP336BOKCr7cMDAxkOHPmDMODBw/AYiACtOANNE8BuhYTdIsJCDs5OcEXloHUgBa8gcbpQWbu3r0bJDSKR0NgNARGQ2A0BEZDYDQEhikYXVw2TCN21FujITAaAqMhQEwIMDExgReKKSgoMJibmzNMmDABfJQ1TC/oyktFRUUYl0FPT48BtAgN1BEGXY8J6tiCjs0GYdAR2aBTzuCKacgAuUFUVJSGNowaPRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjYDQERkNgNARGQ2A0BDBDgI+PjwF04hdowdWdO3fACkCLsUAMXFdigk4Je/nyJQM6Bt0aAtKHjEEnjfn5+TH4+voygOzatWsXQ15eHrISotigcXvQGH9vby/4+koTExMG0O0joKstkQ0AnU4G4oNOLwPRoKszT548Cd5sDlpABrrSEiRub28PolCwkZERmA/auA5mjBKjITAaAqMhMBoCoyEwGgLDEowuLhuW0TrqqdEQGA2B0RAgLgRAnd/a2lrwEdj3799n2LBhA3inEkw36Mjt379/w7gMFy5cYJCTk2MQExNjEBISYnj06BEDqKMJwmfPnmWYNm0aXC0tGaCdWuLi4rS0YtTs0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREMAaAqCrMUESsNPLQLSkpCSDi4sLSJhsvGTJEvA1kQcOHGAALUi7cuUK2WZ2d3czyMjIMDQ3NzOAxvlBbluwYAED6JYSZAc6OzszSEhIMMAWl4Fo0I0l0dHRYGVv3rwB06BN6mAGEvHz508wj5mZGUzjIt69e4dLalR8NARGQ2A0BEZDYDQERkNgCIDRxWVDIJJGnTgaAqMhMBoCtAqBhw8fMggKCjKoq6uDrVi/fj0D6FQyUMcRJPDnzx/waWYg9sWLFxlA115GREQwuLm5Mbx//55h6dKl4GsxQYvMvLy8GFasWAFSSlMMsgu0uMzU1JSm9owaPhoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgLYQgA0Rg7aAA1aVAa7EjMyMhLlZhBs+vCJga7BBJ18BrpBBLSorLS0lIGdnR2fFpxyoNs/KioqGPj5+cEbxDdu3MjQ0dHBALoC88ePHyj6QAvDQOP+p06dAqsFncKmrKzMYGlpCVYHu93k8OHDYD4yAbvWU0lJCSwMut3k379/YDYycfPmTWTuKHs0BEZDYDQERkNgNARGQ2CIgdHFZUMswkadOxoCoyEwGgLUDAHQsdqgo7FBR2GDOoigTmNaWhoDqNMK6nzKy8szgHZIgXYtgY63trCwYEhJSWEAqZ07dy5DRkYGA0iNiooKA+iKzOLiYmo6D6tZR44cYQAdxQ06whurglHB0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREKBhCLCwsDCAFpOBNmW3tLSAbQItDAMzyCSqqqrAi8FAJ4eBbhAh0xiwNtDGctAir6CgIAZeXl6wGIgA3UICuqEExEbGoKsxQZvOJ0yYwHDixAkG2MlsIDWGhoYMbGxsDLt37wZxUTBo/gC0OM3d3R0sDjrd7MGDB+CT0sACDAwMoMV3sOtDYWKj9GgIjIbAaAiMhsAoGA2BoQVYhpZzR107GgKjITAaAqMhQGkISEtLg08bg5kD6vyBOnsCAgIMIAwSr6+vZwAd4R0QEADiMoBOCgMt6AJdhwkWYGBgiIqKYvD392e4fv06+Mhs0PHaIDl080Fi1MSg09KcnJxQru+kpvmjZo2GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDI8QAC2wAl3rCMOgTdUvX75kgPFtX7xgCCXTq6AFWKDFWKAbPUCbr/X19ck0iQF8UwjotDLQQq7e3l6s5jg4ODD4+PjA5Xp6ehhA12jCBZAYnZ2dDDw8PAwrV65k8PT0ZABtMj969ChDbW0tAx8fH8OXL18YQKeJwW41MTY2BqsB+QdkDPJCOSkpKYacnByGvr4+hqysLDAGzRcsW7YMfJVmfHw8g6qqKkgbg7m5OcPWrVsZEhISGFJTUxlAi8pAbgGdoAYKc7AiBgbwpnUQe9asWQyJiYkMozeVgEJjFI+GwGgIjIbAaAiMhsDgBaOLywZv3Iy6bDQERkNgNAQY3r17x8DExARf9EWrIAHtJkI2G9RZROaDFowh82Fsbm5uBnqeIPbkyROGnTt3MixfvhzmhFF6NARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2CEhMCvX7/gC8NevXrFAMKgRUswDFs4BlpEBhMDnciFHDwiIiIMMKwjIIAsRRIbdNuHlpYWw7Vr1xiQF2ORZAhUMWjhF8id586dYwBhqDAKBbpyEnlxGeiqSxQFSJwpU6YwzJs3jyEpKYnBz88PLCMkJMTQ398P3rgNWhCmo6ODcsIY6PSympoaBtCVn6DbS8CaoER7ezvD379/GSZOnMgwffp0qCgD+HYTkBhMAHS7CeiqTNDCMxAGzS2AFuGB5EHXcoJoEHZ1dWUA3ZQCMgu0gX3//v0g4VE8GgKjITAaAqMhMBoCoyEwSAHjf1BLZZA6btRZoyEwGgL4Q2DVqlUM4eHhKKdQ4dcxKjuUQgDUUQNdNwnqLE6ePHkoOZ1mbj127BgDqHN68OBB8DHcNLNo1ODREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgSEXAqGhkLNnVq9eTdDtoAl60GkuYWFhBNWOKhgNgdEQGA2B0RCgXQj8+PEDvMn6/fv34NO7nj9/zvDs2TMwGySGzgctHgOdRobsIg4ODgbQhmnQbRyCgoIMIIyLLyoqygA6dQuuv6GBgWHVKgaGa9fgQsOJ8fbtW4bz58+DbyoBLYQD1X8g/4HEQeELmoMA8UF4/fr1DKBrNNeuXQumQWLoGLSYD3StJjs7O4Oenh44rNHVgPigxX2gG1FAp7nB7ASJo2NQXIOu7QRhdDms/KtXGRh0dBgYrlxhYNDWxqpkVHA0BEZDYDQERnIIjK4fGMmxT1OwevTkMpqG76jhoyEwGgKjIUB+CDAzMzNUVlaCj5vOy8uDHytNvolDX6eVlRUDaNfT0PfJqA9GQ2A0BEbBaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwPALge/fv+NcGIa+UAy0uAkkhhwKoEVLoBO2QAvEYFhbWxu8OArGR144Ji4uzgAaS0c2Y5SNCAFhYWEGFxcXhACUBRIHYSgXTM2dO5cBdNIY7KQzsCAaISYmBj7ZDE0YgwtaxAfCGBJoAqC4RBMa5Y6GwGgIjIbAaAiMhsBoCAxCMLq4bBBGyqiTRkNgNARGQwAWAqAjq0GnlqWmpjLs3bt3tJMMC5hRejQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOA5iEAWywGWgQGOmUKtCAMhLHxQSdV/fz5E8VNoFPFYIvCQDRoMZGSkhL4xCsYH/nEMRAb30lXKIaPcqgSAq2trQyguNu2bRvDpEmTGFhYRqePqRKwo4aMhsBoCIyGwGgIjIbAMAKjrYNhFJmjXhkNgdEQGH4hAOrELV++nMHU1JSho6ODobq6evh5ctRHoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgJ0CQHQwjDkRWIgPraFYiA1b968Yfj9+zeKu2CLxUCLxEALwUALxGCLxZDFQOKgU7AEBARQ9I9yBl8IzJo1i+HLly8MKSkpDGlpaYPPgaMuGg2B0RAYDYHREBgNgdEQGHAwurhswKNg1AGjITAaAqMhgD8EdHR0wAvLiouLGUBsf39//BpGZUdDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAgM+xD4+vUrw9u3bxlev34NxiA2aEEYiP/q1SuwGIgPwiAxkDxyoDAxMTGIiIjAMegaQzk5OQYjIyO4GOjaSZA4TB0rKyuyEaPsYRACDx8+HAa+GPXCaAiMhsBoCIyGwGgIjIYALcHo4jJahu6o2aMhMBoCoyFApRDIz89nuHHjBkNERATDzp07Gezs7Khk8qgxoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIDHQI/fvxgePfuHQPoJDFkjH6qGEwOdLLYhw8fMJwNOjEMdqIYiK2lpcWAzAeJwU4YExMTG70CESMERwVGQ2A0BEZDYDQERkNgNARGQ2A0BNDB6OIy9BAZ5Y+GwGgIjIbAIA2BKVOmMPz9+5dBWFh4kLqQus46fPgwg5mZGQM7Ozt1DR41bTQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEaBwCoEVgoAVgIBoZ41osBhJHdxLoCkrYQjDQojAQxnUFJUhOQkKCAXQaGbo5o/zREBgNgdEQGA2B0RAYDYHREBgNgdEQoASMLi6jJPRG9Y6GwGgIjIYAHUOAmZmZYdasWXS0ceCsmj17NkNWVhbD1KlTGdLS0gbOIaM2j4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjPgQ+P79OwNo8Rexi8VevHjB8P//f5RwAy0UAy0AQ14sBlsohi4O4oOuowSNCaMYMsoZDYHREBgNgdEQGA2B0RAYDYFRMBoCAwBGF5cNQKCPWjkaAqMhMBoCoyGAPQS+fPnCkJOTw7Bo0SKGuro6htTUVOwKR0VHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ4CMEAAtFAOdJEbsYrFXr16Bb5RAtgq2UAy0CAy2WAx5oRiyOIg9ev0kcuiNskdDYDQERkNgNARGQ2A0BEZDYDQEhhoYXVw21GJs1L2jITAaAqMhMExDAHQNJmgx2du3bxk2b97M4O3tPUx9Ouqt0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BaoQAoYVi6IvIXr9+zfDnzx8Uq5EXioEWgoEWixkbGzOA2MgYJC4pKckgKirKwMrKimLGKGc0BEZDYDQERkNgNARGQ2A0BEZDYDQEhjMYXVw2nGN31G+jITAaAiMqBN68ecPw798/BtAuuKHk8ZcvXzKUlZUxLF68mMHDw4Nh7969DNLS0kPJC6NuHQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQoDAEYAvF0BeEgfgwjHzaGGg89Pfv3yi2oi8UAy0OA50oZm1tjXWxmIyMDAMbGxuKGaOc0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAVQwurgMNTxGeaMhMBoCoyEwZEOgubmZYd68eeBrJYuLixlERESGhF8OHDjAAMJr1qxhCAoKGhJuHnXkaAiMhsBoCIyC0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQHcIYC8UAy0MAx5URiID8MwcdBtBr9+/UIxENtCMdDJYaBTxUA0aOEYMgYtFOPn50cxY5QzGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQDkYXVxGeRiOmjAaAqMhMBoCgyIE2trawCd+9fT0MEyZMoUhOTmZIT09nUFTU3NQuA+XI0JDQxl8fX0ZuLi4cCkZFR8NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBiAEADdlABa+PXu3TsGEA3CMDaMBp0gBhKH0SD2z58/UVzLzs4O3gwrLCzMAMKg2xfk5eUZjIyMwHzQRlmYOIw9Ol6IEoSjnNEQGA2B0RAYDYHREBgNgdEQGA2B0RAYMDC6uGzAgn7U4tEQGA2B0RCgbghwc3ODr5fMzs5mmDFjBsO0adMYJk6cyGBnZ8cQFxfHkJSUxMDIyEhdS6lgGhMT0+jCMiqE46gRoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhgC8Evnz5Al4gBloUhrwQDMQHLQiD0chskBi6maBFX0JCQuBFYSAatBhMQ0MDzActEAPxYbSoqCh4URkPDw+6MaP80RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgSECRheXDZGIGnXmaAiMhsBoCBAbAqBFZqBrMQsLCxn27NnDMGvWLIaZM2eCTzIj1gxK1f3584fh/PnzDIcOHWLYunUrQ2VlJYOrqyulxo7qHw2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgFoyHAwMAAunYSdqUk7IpJXDRI3dOnTxnQTxMDBSTy1ZNSUlIMoOsmVVRUGJCvm0Rmg9SA+CC9o3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgZIDRxWUjI55HfTkaAqMhMAJDAHQimJubGwMI////H28IwAaY5OTkGEBH0uNVjEXy3r17DAcPHmS4evUqw8WLFxlOnjzJ8PnzZwbQzkRnZ2fwYBQWbaNCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMKJDALRIDNuiMNB43bNnzxiwyb18+ZIBdF0lcsAhLxIDLf6CYSUlJQbQgjDQojGYGIwWFxdnYGZmRjZmlD0aAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIYYHRxGUaQjAqMhsBoCIyGwPALAULXYa5bt44hJycH7HE2NjYGCQkJ8MIwfn5+BtAitbCwMIbU1FSwPDZi48aNDNXV1QxaWloMOjo6DF1dXeDrODU1NQflVZzY/DAqNhoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAuSGAGgRGOgKSXSMSxx29SToBgBkO0Fjc6CrJkHXSsJo0CIw0Dgb7LpJZDmYGpA+ZHNG2aMhMBoCJITAkycMDKGhJGgYVTpgIfDp04BZPWrxaAiMhsBoCIyGwGgIjGQwurhsJMf+qN9HQ2A0BEZDABoCGRkZDO7u7gyPHj1iAB2RD9oZCRoIAw1+gZQcPXqUAXT6WVpaGoiLgTMzMxny8vJGdzpihMyowGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBQCQHQQi/QmBgIg8bFQDQ6xiUOGjtD9ifoRDDQwi90rKioyIC8OAzERsa8vLzIxoyyR0NgNARoHQLa2gwM7u60tmXUfGqFAB8fA0NICAMDPz+1TBw1ZzQERkNgNARGQ2AUjIYAEWB0cRkRgTSqZDQERkNgNASGewiABrtUVFQYQBibX0Enl+3Zs4cB1+IyDg4ObNpGxUZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ4DuIfDjxw8G0KIw0EIwUjC26yZBjgddI4l8rSToBDFVVVUGkDguDDptDDTmBtI/ikdDYDQEBnEIgE4sA+FB7MRRp42GwGgIjIbAaAiMhsBoCIyGwECD0cVlAx0Do/aPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIYITA9+/fGUhZHAZTCzqVH90w0OZIbAvBlJSU8C4SAy0qY2RkRDdulD8aAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjBowuLhsxUT3q0dEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RCgbwh8+vQJvkDsw4cPcDZsIRguMdDJY79//8ZwLGiBGPpVk/Ly8gwGBgYM6OIgPkw9GxsbhlmjAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAoTB6OIywmE0qmI0BEZDYDQERkNgNARGQ2A0BEZDYDQERsFoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiM2BCALQQD0bgWg4HkkDFM3d+/fzHCjZeXF3xamICAAJgGLQCTkJBg0NTUZEAWAy0OQ8ejp4hhBOeowGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCNAUjC4uo2nwjho+GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAgMfAuReMfn69WuGP3/+YHgA2zWT4uLiDBoaGvAFY6BFY+hYRESEYfQUMYzgHBUYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BQQtGF5cN2qgZddhoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIQELgy5cvDB8/fgRj0KlgIDa2k8KwiYGupoSYgiCZmJjAi8CQTwoDLQSTlpZm0NbWBsuB+MgYWe3oCWKIsBxljYbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwHAGo4vLhnPsjvptNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2BQhAC+k8N+/PjBgE/+3bt3DD9//sTqD2wniMnKyjLo6elhXSAGWywGOmWMmZkZq5mjgqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhAAOji8tgITFKj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgCWEPj69Sv4xDDQaWGwU8NgbBAfhGF8EA3CMDEQ+/Pnz1hMZWDg5uZmAJ0Gxs/PzwDCMDby6WEgcRCGySGzeXh4sJo7KjgaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAtQCo4vLqBWSo+aMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAzKEEA/FQzkyEOHDjGAFoChyyFfKwlik3pqmLCwMIOKigoDJycnA7ZTxWAnh4HUsbOzg5wyikdDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYNCC0cVlgzZqRh02GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjNwT+/v3L8OnTJwbQAi/QyV8gNogGYdBpYKCFYSA2TPzEiRMMv379YjAzM2NAFgexsYXi1KlTsQmTJAa6zvL58+cMIEySxlHFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCo2CIgNHFZUMkokadORoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCQyEEQAu8QAu+QBh9ARhIDLQwDIRBi75AfBgNUovM//btG1bvMjMzM/Dx8YGvkwTRvLy8DCDMyMjIALom0sHBASwPEgNh0DWSIAw6MQxEg66X3L17NwPIHKwWjAqOhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCMDB6OIyeFCMMkZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYGSGAOh0sC9fvjCA8NevX8HXRYIWfYHYIDHYYjAQG4RBi8BAGMQGqQGxQWpA/J8/f2INRDY2NvAiMNACLxCGLQwD0WJiYvDFYiA+aFEYjAYtCkPmc3NzYzU/NDQULN7V1QWm8RGRkZH4pEflRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASgYHRxGTQgRqnREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgKIfD//3/w4i/Qoq7v37+Dr44ELe4CLewCYdCiMNhCL5AaEB90KhiIDZIHYdBiMhgfROPyNwcHBwNoMRdsMRjoZDAQH7TwS1ZWFiwHEgMt/gKpAbFBciA+iAadEgaiQXyQWbjsGRUfDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBicYHRx2eCMl1FXjYbAaAiMhsBoCIyGwGgIjIbAaAiMhsAoGA2B0RAYDYHREBgNgdEQGA2B0RAYBiEAWvz148cPBhANWtCFi41PDl0PaOHYv3//cIYOaBEX6LQvTk5OBhgbxOfi4mIQEhJiALFhGF0NMl9YWJiBnZ0dpz2jEqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCwx+MLi4b/nE86sPREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQEcIQA7BQx0leO3b9/Ap4CB2KDTvkAneoHYoFO/QDQ2eZAYSC0IgxaQgU4FA50iBhIHYRzWgoVBi71AGHSyF+jEL9DCLtAJXyA+iA1aAKalpcUAYoMwiA9SD2KDTgkDnSAG4oP0gPggM0YXg4GDdpQYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREKASGF1cRqWAHDVmNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOAuiEAOp0LdErXnz9/GECLt37//s0AWrwFW+iFvPgLdroXaGEXSB6knhj5X79+EXQ06GpHNjY2BtDiLRAGLeACLeYCLfICLe5SUlICXw8JYoMWeoEwSA6kFlkdyByQGpAciE3Q4lEFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITDAYHRx2QBHwKj1oyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMJRCAHQ6F2whF/JVjjAxSml0M4kJG9DVj6AFW8g06JQvmJikpCT49C9c8shqYXpgYqDFYUxMTMQ4Y1TNaAiMhsAoGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGHZgdHHZsIvSUQ+NhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDPcQgC3gAvkTdGUj6GpH0IleoJO9QCd3/f37lwF04hfo5C/QYi2QPEgdSBwkDzsJDHRqF+x0L9AVjrCFYyA26PQvkBxIDegUMJAekH2EMDMzMwPoWkcWFhYG0AleoBO/QNc3gk77Ap3aBVvgBWKDFnCB5EBqQGpBekB6QWaATvZiZGRkAKkBLe4CLfICiYPkWVlZwaeIwRaCEXLTqPxoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYAeWB0cRl54TaqazQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2AEhQBs0RWMBnkdxobR9BIDLQ4DLRID2Ucshi3oAtGgxVqwRVnINGjxFjIfpJZYPsxMmHpi3TWqbjQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2Bwg9HFZYM7fkZdNxoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgLDJgRgp2fBPAQ7FQvEB524BTp5C8QGYdipWyA28ildoJO4QHIgcRAG6QHpBbFBNIgPYoMwSB1IPYgNO3kLdPoWiI0shqwPJAdSgywGUksKBp2+BTqFC6SHh4eHAXTKFrIYSA7EB2EQG6QORIMWaIHUgvTAxEBqkMVAp3aBTu/CJgY6CQx0OhhIP0geZCZIP8isUTwaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwCsgBo4vLyAm1UT2jITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQIUQAC18Ai2AQjYKdh0hTAx9QRZIHPmkLBAfhEFXH4JoGEZekAUTA12LCDIPxgddewiyD8YH0SD3gNwFYiPLg/SB9IPEQRh5YRhoMRZoURZIHISRT9bC5g6QGkow7LpEkBnIJ2XBrk4EiYMw8uIq2MIr0PWLSkpKIGkG2HWMyPpgYqAFXKCFXCCF2MRgC7iQ1cHEQHpG8WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAwHMLq4bDjE4qgfRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNggEMAeRESslPQFzyB5ECLmUDqQWwYBl3xB1qQBOPDaNCCJdDCJRgfRIP0gswAsZHxQNsFOjELdNoVzE3Y/IS8IAumjlY06OQq0GInZPORF1uBxEGnWoHEQGwYBukB6QXxQTSID2IzMjIyKCgoMIAWYoH4sCsTQWyQGOhKRRAbhEF6QHpBbBAN4oPYIAxSB1IPYuNbGAbSA9ILUgdaEAZa4AVij+LREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQH6gdHFZfQL61GbRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhngIgBY5gRY7IXsDfUETSB6kDqYG/dQmkBxIDUweRINOgwKdCgVigzD6IiX0xVTYFi2BzASZDdIPw79+/WIALWaC8WE0uptB4qDFWiB7QGwYxmYPSA6bXSBxemHkk6KQ7QQtkgItlkIWw7UoCfnkK5h62MlWMD6IBolJSEiAmCgYm13IC6VgikHXHMLYIBp5QRaID8LobgFdawiyFyQHw8gLskBi2PwFOmULFDYg+VE8GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgLUAKOLy6gRiqNmjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyC0RAgKgSQFyUhL6BCZoMWQ4EWRYEMRGYjL35CvhIQmY28kAuZDVo0BdIPMhOZDbIHZAdIHISR3QfiI5sN4tMKoy9UQl+kBFowBVKDbD/6oiV0PSC1IDFxcXEQEwWDzAKZiSyIbbESSB594RNIDGQuaJEUiA3DoEVNoMVNMD6MpoVdMLNH6dEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0B2oLRxWW0Dd9R00dDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2BAQwC0cAq0gAq20Ap0shVoARXolCzQaVkgx338+JHh379/DLAFXrAFVSB9IP0gOZAakFqQHpBekBkgs0ALtkCLtUByIDUgtSA26HpD0KlX6GwQn1wMWswEWtQE0o98shPyoihkNug6PdC1eiD1IBp2+hRoURVowRNIHJkN4oNOiwKZDWKDMLJ5ID7oWkDQYisQG4ZBC6pAC6tgfJAbQW6F8ZHdARLDZgZIfBSPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGADo4vLBluMjLpnNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYFiFAGixFWjRFWyhFmwxFmzxFfqCrt+/f4MXecH0gQID14Iu0KIukHmgRVwg80BqYdcdgvggcZAYsRi2sAq0uArEBi2YAi2cAumHnZIF4oPEQQu1QAuvQIuoQIupQGpAC7hAC6nQ2dzc3AwgtSBxZDbIDpBdIHGQGSCz0NkgMZAcSHwUj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCNAXjC4uo294j9o2GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMIhCAHT6FuhELxANWuQFYoMWZYFo0OldIDHQYi/Q4i7QKV0gOdiCLtCJXqAFY6CFYyA5EA3ig8RBC75A6kBioEVixHgZtPgKtPAKtHALtIALpAd9QRdIHqROSEiIAbTgCnbqFvJJWPz8/AxMTEwMsIVeIHWgBVogfSD9IDmQGpD5oBO4QHpBp3iBzAKJjeLREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BUTAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIQADo4vLYCExSo+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMyhAALdQCLfQCLdQCsUELv0CLvUBiIDbopC4QDeKDxEFskDqQehAbtNgLtCgMxAYtFkNmE/Iw7GQt0GIv0OIr0GIs0MlcoIVbsEVbMjIyDCA50EIwEA1aqAVazAWSB7FBYtjkQGaAzILZQcgto/KjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAbzC6uIzeIT5q32gIjIbAaAiMhsBoCIyGwGgIjIbAaAgM8xAALfYCLegCYdBiLtCCLxAbtOALtLALhEF8EAYtAAOdGgaSA/Gx6f3//z/eEAMt3IIt5gIt/gKxQQu2QKdzgRZwiYuLM4AWh4HEQXwQBrFBYqCTvEBskFqQHhAbZAbslC+8Fo9KjobAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwDAHo4vLhnkEj3pvNARGQ2A0BEZDYDQERkNgNARGQ2A0BIgJAdCiLtCiL9BCLxAGsUEYtDAMxgfRIAwSA8mBFoOBMGyBGIgNWiSGyz7QCV6gk7xAC7lAi7pAGLTACyQGwhISEgyghV2gxV8gORAG8UE06BQwkD7kBWAgMdBiMFz2jYqPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAhQBkYXl1EWfqO6R0NgNARGQ2DYhcCbN28YQAsGkD0GWiwA4t+7dw9EwTFoQYCIiAicP8oYDYHREBgNgdEQoG8I/Pv3jwG0sIvYhWGg8h2kHoRBi8RAfBANwrhcDlrcBSrvQYu/YDRokZesrCwDaNEXaLEXiA+SB/FBGKQH2wIxdnZ2XNaMio+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAxCMLq4bBBGyqiTRkNgNARGQ2AgQ2DLli0MiYmJWJ2wbds2FPH58+czJCQkoIiNckZDYDQERkNgNASID4Hv378zgBaG/fjxgwHGBvFxYXR1r169Yvj79y9WC0EneoGuiwRh2AlfILakpCSDlpYWA4iNLA7iwzBMXExMjAF02hhWC0YFR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhj0YXVw27KN41IOjITAaAqMhQFoIBAUFMaSlpTH8/v0br0ZWVlYGkFq8ikYlR0NgNARGQ2CYhwDo5C/khWCg6yJBp4LBaGxskBwIg+T+/PmDEULMzMwMoJPAQKd/gTCMDTopEsYG0TAMUgPCsFPFQDToNDEMg0cFRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOARDC6uIzEABtVPhoCoyEwGgLDPQRAixJ8fHwYNm/ezIBt0QPI/6BTbEBqQGpB/FE8GgKjITAaAkM5BIg5MQx5ARmM/fbtW4Zfv35heB12Yhjs9C/YaWBSUlIM2tra4BPDYGIwGlmthIQEAxMTE4a5owKjYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDgN5gdHEZvUN81L7REBgNgdEQGAIhEB0dzbBhwwacLgVdwRYTE4NTflRiNARGQ2A0BOgdAl++fGF49+4dA2jBF2zxF7H0v3//MJwLWjwLW/gFo8XFxRk0NDSwLg6DqQGdIAZagIth4KjAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMQTC6uGwIRtqok0dDYDQERkOA1iHg7e3NALpS7evXr1itAp2w4+npiVVuVHA0BEZDYDQEKAkBUk4Re/78OcOzZ8/Ai8p+/vyJYS3sBDHYwi8QTcwCMdD1k2xsbBjmjQqMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBIA6OLy0ZajI/6dzQERkNgNASICAHQgoyQkBCGZcuWMfz+/RtFBysrK0NoaCgDaIEZisQoZzQERkNgNASQQgC0SAx0khgMg04UA7FBNAiD2CCMzAbxf/z4gWQKhAlaFCYsLMwgJCQExiC2oqIig7GxMZwPk4PRID2jV0tCwm+UHA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgLkgtHFZeSG3Ki+0RAYDYHREBjmIRAVFcWwcOFCDF+CFpuBrs3EkBgVGA2B0RAYtiHw7ds3hjdv3oCvnHz16hWYhvFBi8NAbJg4aIEYSAy0uAw9QPj5+eGLwUALxEALwXR1deFiID4Mw+RB/NFFYughOcofDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQH6gNHFZfQJ51FbRkNgNARGQ2DIhYCzszN4wQdooQiy40GnATk6OiILjbJHQ2A0BIZQCIBOBgMt/gItCAPh169fwxeOoYvD+OgLxUAnGIIWf4Ew6ApJEK2urs4AYoMWg8EwSBzGBtEsLKNNzyGUVEadOhoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMAoYRmf4RhPBaAiMhsBoCIyGANYQYGZmZgCdUDZz5kyGX79+gdWwsbExxMbGMowuEAEHxygxGgIDHgJ//vwBLwwDLRADLQQD0aAFYyAM4iPTMLmvX7+iuBt0KhhoURhoIRiMlpeXZzAxMQEvFkMWB7HFxMQYQCeQoRgyyhkNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGJZgdHHZsIzWUU+NhsBoCIyGAHVCIDIykmHy5Mlww0CLzEBicIFRxmgIjIYA1UPg/fv3DM+ePWMA0SD8/PlznHzQVZR///5FcQMHBwcD6IRBKSkpBklJSQZRUVEGNTU1sBiyOIgNwqDFYqMLRlGCcJQzGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIQAFo4vLoAExSo2GwGgIjIbAaAhghoCFhQWDjIwMw5MnT8CSoMUq5ubmYPYoMRoCtA6B////M+zatYth0aJFDEuXLqW1dTQx//fv3+CTxUAniIEWgr18+RKFDxKDnSgGokGnjSE7BHSCIGhxGOhEMRCWkJBg0NTUZLC1tQWfKgbig8RBakCnioHYoJPIkM0YZY+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYAuWB0cRm5ITeqbzQERkNgNARGQAgwMjKCr8Hs6elhALHj4+PB9Ajw+qgXBzAEQAuyli9fztDR0cFw/fp1BtACq8WLFzMMhkVToFPCQIvAQBi0UAy0OAy0cAzEB7FBGMYHib179w4lJEEnhIEWgIEwaEEYaHGYoaEheKEYiC8uLg4+aQwmD6JRDBjljIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgAdwejiMjoG9qhVoyEwGgKjITAUQyAmJoahvb0d7PSoqCgwPUqMhgAtQuDTp08Ms2bNYgAtZgQtzAItaATZA1rQBTrRC7T4CsSnNv758ycDyHz0KyiRr6OEsUHu+vPnD4oTBAUFwddPgmgQ1tLSQuGDTvwDXU8JkgMtHgMtlkMxYJQzGgKjITAKRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEBikYXVw2SCNm1FmjITAaAqMhMFhCALRQRl1dHewcHR0dMD1KjIYANUMAdALY9OnTGfr6+hi+f//OgL54C2TXixcvwCd6gdjEYNBCNdCCMNBiMBB+9uwZA4gGYZg46JQxEPvz588oRnJzczOAThQDLQQDLWgDLQ4DnS4mJibGABIDYZA4iA+6ihJF8yhnNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BIYRGF1cNowic9QroyEwGgKjIUCrEIiLixu9DpNWgTuCzb19+zbD5MmTGWbOnMnw//9/BtB1mLiCA7QATUVFhQG0GAy0UAzfKWNPnjxhAC0uQzaLg4ODAbRIDHaCGGjRpLOzMwPoNDFkcWlpaQYBAQFkraPs0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBixYHRx2YiN+lGPj7QQKCpiYHj8eKT5etS/1AqBr18jwUadOwemRonRECA5BGRlGRj6+iDajhw5wtDa2sqwc+dOBtAVkdhOKoOohJCg6zHd3NzAC9AgIgwMrKys4JPMQCeIgRaMgU4Rs7CwAF9HCRIDYdCiMRANwiD1ML2Dif727RvD48ePGd69e8fw8eNHhg8fPsBp0AK6X79+MXz9+hXuZNCiOdA1oSABUNjx8fGBmGDMw8MDDhfQgjnQAjl+fn7wQjkQDTphTUZGhoGLiwusdpQYniEAWnjZ2NgI99yXL1/gizbZ2NgY1NTUGOrq6uDy6IwfP34w3LlzhwG0yBKUjtDlR/m0DwFQ/r579y44DkCnKOKyEXTS482bNxlAZQAof4PKOxCWk5NjUFZWBpetuPSOig+eENi1axfDvn37wOX+v3//wA4D1YmwEzWDg4MZwsPDweLYiAsXLjBcv36dAVTOg9ICqOwHnbwpIiKCTfmo2BANgaVLl4JPXwW1FUDtBlj6AJUXoHbBggUL8NbvGzduZAAtsgelC1A5AUojoLbVEA2OEeFsUNvv4cOH4PYhKN5BbULQ6b4ZGRk4/Q9qM4LkYW1eTk5OBhAG1edCQkIMIBwUFIRT/6jE4A2B0fQweONm1GWjITAKRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYCSB0cVlIym2R/06okNgxw4GBkZGBgYtrREdDKOeJzMEuLkVydQ5qm00BBgYrl1jYLhy5Q+Dmdkahvb2doZLly4xMDExgReLgSbRCYURCwsLeHI9JSUFvKAMtJAMNEFKSN9gkActFgOd0AbCoIUg9+/fZwAtAAKdwIbthDVQuIAWCYAmAkE0yO8gGuYX0GIT0CIhEB80yfjmzRsQE4xBi9NA4QmiQZOQIBq2WAGsgIEBvAABtHAINLkMwoqKiuAFR6qqqmAa2S6YnlGaviHw8+dPBlBauXHjBpgGLfYCpZWnT5+CFwueOHECp4NAiw5AaQ208BCkCLSYkJ2dHcQEn+YHSntgDg7i6tWrDCYmJmBZkF7QQiVQOgEtTASlEWNjYwZPT0+w/ChBeQiATmy8cuUKw8GDBxlA8Xrt2jUGEAalAdCiI1dXV5yWgBal3rt3D7wgFVQOgMoUkD6QBlCcHz58mMHU1BTEHcU0DAFQGQvKn6B8CsMgPii/gq5ejo2NZaiqqsLpApC6PXv2MPDy8jKAynuQQtCiH9AiMRAbVCeAaFx4+/bt4AWjoLIfWQ0oDYDqyurqaob09HRkqVH2IAkBUH4FLQwElbuhoaEMsLodm/NA8QiKY9DiINAiMVhdDUsroEVm2PTBxEAnEIMWocH4oPQhKyvLACrjQXjKlCkMoPYFTH6UHpgQAKUJULkNKkNA7ThkV4DqZFCeBi0eQxZHZoPSAaieB9EgcdACc9CCM9jiNJAYvsVlIH2bNm1i0NbWZlBSUoKXSSB9o5j+ITCaHugf5qM2jobAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAjgB4z/QbMa+NWMyo6GwGgIDNIQWLVqFXjBBTHZGLSoLCyMgaGhYZB6ZtRZoyEwGgLDNgRA5c6yZc8Y8vPXMxw4cAB8Sgtoogs2kQ6aMMXnedAkaF5eHkNXVxc+ZQMqB5q8A00Qnz9/ngF0kgwIgxYHvX79Guwu0KQxaKIOdLUn6KQ12AIvEBu0cAd08hBoshh08gxYA5UI0GQyaJEZaPEJaBEDaAEKiAZNPoIw6IQk0AIVkPtBVoImLjU0NBj09fUZDA0NwRg0yQg7BQOkZhTTLgRAE8oKCgoMoAle0AIx0OI/0KIuUBoBpRl1dXWGiIgImjkAdHIZKE2A3AFKJ6AFTDAatGgN5BbQYhaaOWAEGQw6vbG/v5/h7du34EWflpaWDHp6euBJfR0dHQZNTU3wiTOkBAkon4NOugGVRf7+/mBzSdE/qpb0EJg4cSJDQUEBWCOo/AadGgdarAPKr+Li4gxOTk4MNjY2YHlaEqCFpaCyHlS3vnjxAryIGUSD0hU++xcuXMhw+fJlcJkPSn+gK6NHy3vqxxSonQNaWH/s2DHwQtKzZ8+CT4kEiYPaB6A4AJ0sSX2bESaC0geojAC1Ax48eMDw6NEjMAalk/Xr1zOAFqohVI+yqB0CoLbWqVOnGMLCwsAbLHCZ39DQwAAqO2CL/0Cn74I2HIAWFeLSQy1x0AYIUBkGGlsApUtQmwPUFjQ3N2cwMzMDlxOj5QN1Qns0PVAnHPGZAlq0C5JfvXo1iBrFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKUg9Wji8soD8RRE0ZDYMBCYHRx2YAF/ajFoyEwGgIkhABocdmqVZATzGDaQJMqoNNaQKfrgE7oAZ3wAlpMA5rcBE22wtSBaJB4dHQ0A2gSHMQfDPjly5cMhw4dAuOjR48ygE4f+v37N/haKl1dXfCiLNDiENBkMWhBDmjBEMgfg8Ht6G4AhTdoQQpo8dCtW7fAJyeBFseBJsJBp6OBJhhBi12sra0Z7OzswBi0CA3dnFE+4RAALdoCLRTDpRJ0CtK6desYQBO6oLQDWliJS+1AiIMmnEF5FJfdu3fvZli0aBF4QQ1oUY28vDwupSNefPPmzeDFJfb29uAJe3qWD6DTUBISEhji4+MZQFcOEzodayRGFujUINBCINBCTz8/P5xBAFqACcKghcNDsVwELY4D5VlQHQZaZAxaOAJaYAa6ZhpU5oNOKhwqJ4XijKRBIOHg4AA+oRC0iBy2UAfUVgDVraA2AijcB4EzsToBtBAddJoWqP4HpQd3d3fw4iesikcF4SEAOoEU1L4F1YvHjx9nAC3sA8Uz6LQ60AIuuMJBxgAtVAW5EYRBC5VPnz7NcObMGfDVvaAFZidPnhxkLh4azhlND/SPp9HFZfQP81EbR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhj0YXVw27KN41IPDOgRGF5cN6+gd9dxoCAybEMC2uAzZc6AFK6Cr4EBXw+3fvx/ryWaghSp79+5F1kZX9tevXxlAE4SgU5tAi8pAp5KBFoOATnSwtbVlAF0XCGKDFgWBxOnqOBpZBlpUAfIn6DQ20CkroIWAoEVnIHHQwjnQohgPDw8G0NV9oOuaaOSMIW0s6CQwULoBLSTat28fA+hUMNBCPtDJRkPaYzgcD/JjW1sbA2hRDmhhImgC3dnZmcHHxwecTuhx8goOp40KI4UAaLEIaMEuqMwFLXzNyspiAF21xsPDg6RqZDFBpzyCFjyD8uuRI0fAi2xBdVNAQAADaMHncA8N0OJo0OKHixcvgk/fBC2GAS0o2blzJwOorB/u/qe1/0DX3oKuPgXVnUNtMSfoBNa5c+cygNpgoHYAaBEiqL3j7e0NPkkTtBiR1uE3lMyvr69nWLBgAfhUONBiQkdHR3AeAi3MAoUbJyfnUPIO2K2ghe+g8gF0+h1o4SlYcJQgKgRG0wNRwUQTRaOLy2gSrKOGjobAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjGwwurhsZMf/qO+HegiMLi4b6jE46v7REBgZIUBocRl6KIAm9EEnJsCu0AQtWAGd9gQ6SQtdLS35oFOmQIuCQBi06A00oQo6vQM0UQg6wQN01RhospiWbhhsZoMWYIAWXoAW2IHCBLT4AHSyGWjxH2gBEeiEH9B1cIPN3fR0z+fPnxm2bNnCALpmDLQYEbQwETSpDDohChROVlZWDKAwo6eb6G0XaFEdaHEKKO+CTm4BnXzCzc3NsHjxYgbQYh16u4fe9n358oUBdA1TYmIiva0myT7Q4tGZM2cyzJkzB3wFZ3FxMUN2djbDSFpkBjpNCDQBDTqBErSAwsTEBHw6I6h8B+XVkXxqFygfg66vBmFcCQtUX+M7zRCXvuEiDvI/aMEVaNE1qG0wXPyFyx+g+gxU94Pqtk2bNjGA2kmFhYUMfX19uLSMOPEZM2YwgK4aBdX5oLofX/4ZboEDavuA0kRISAjDSC47keN1ND08YRio9ACq20FxAWqPgehRPBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAMRhdXEZxEI4aMBoCAxgCo4vLBjDwR60eDYHRECA6BEhdXIbNYNA1mkpKStikqCoGOm0JNDkGuiZsx44d4EVAoAVBvr6+4NOXpKSkqGrfUDcMtDADNNEMWoC3ceNGBtCiGktLS4a4uDiGyMhIhpG2+A4Un6CrBpctW8YAugYtMDCQwd/fn2GkL7h7+vQpw4YNGxi8vLwYFBUVQcE0bDGobVZUVMQAWmQIOgUKdDLYYPcsKB+DFodMmTKFAXTSDmhhJGiR1WB3NzXcB1ocBDq5DbRgGHQK4+iCCOJDFbTQCHQSF+iqRFB5DwrDoXYqF/G+RVUJyt+gdgIoz4AWaYLqvMF0dTeqa2nDAy3GBC02By1GNTIyoo0lo6YOqRBoaWlhaG9vZwAttgwKCmJIT08HL9YdyQtQh1QEUtmxA50eRheXUTlCR40bDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYBQwMq5lGQ2E0BEZDYDQERkNgNARGQ2A0BAZ7CNB6YdnJkycZYmNjwSctgGjQyVJr1qxhePfuHQNo4VRaWhrD6MIyzFQCWogBmrwBTbK/evWKYe3atQxiYmIMeXl5DJKSkuBFZqdOncLUOIxFmpubGV6+fAm+RhW0aGWkLywDRTUoDEAnYg3nhWWg01rc3d3B18SBaNAVqENhYRkofkD5GHSd6Z07d8Any4GuMwWJjwQMWvQwffp08GJYUDiMBD9Ty4+gxUU5OTkMoDIedGoX6Lrf0tJS8PW/1LJjsJnz/PlzBtBJXaDTVMvKyhhA12KDFpGOtIVloHgBLSQELSgcSQvLQCfqgspKkP9HMWYI1NTUMICuUQWVqaBNIaBF9tra2gyg07t+/vyJqWGIi4ymB/wRONLSA/7QGJUdDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHhAUYXlw2PeBz1xWgIjIbAaAiMhsBoCIyGAIkh8OfPHwbQKUOgq88sLCwYQKeP9Pb2MoAmj0GLpEAnTrGzs5No6shVDgor0JWH69atY3j27BlDT08Pw7Vr1xjMzc0ZQGEMCmtQmA/3EAItsBASEhru3qS6/0AL8lpbWxnev39PdbNpbSDo1D4DAwOGR48eMYCuyJs7dy54oSqt7aW2+aCFoZMnT2YQFBSkttEDYh7oeuXc3FzwAuEBccAwtxR0MiVogdX58+cZQGGdnJwMrlPV1NQYvL29wXlhOAVBVVUVA2jhJeiKtbq6OvCC0lmzZjHo6ekNJ29S1S+gBYgrV65kGOp1/86dO8ELCUGLKEELikAnc1E1oIaRYVxcXAygK6FPnDjBACobQAswQQsyQYvMfv/+PSx8OpoeiI/GkZAeiA+NUZWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITD0wejisqEfh6M+GA2B0RAYDYHREBgNgdEQICEEQJOdoFNGVFRUGKKiosAnkoEWhJw+fZohIyNj2CysICFIqK4UtLgKFJZnzpxhOHToEPgUM1BYq6qqMoBOOQPFAdUtpYOB3759Y5g4cSLDcJkgpUOQEW0F6PQf0IJEeXl5BtDJMKAraonWPEAKQVcqghacwK4/BaV3a2vrAXLNqLWwEADFA2hxE2gxA+h64+F4Yg7Mr4OF1tDQYGhsbGQAnVYEWpz969cvhqtXrw4W51HFHWxsbAwdHR0MoBP+iouLR9sKRIQqqF0FOg1WV1eXAbQoiwgtg0oJaHGUjY0Ng4eHB/iab9A1oLt27WJgZmYeVO4crI4BLbqeOXMm+DTDrq4uBlZW1sHqVKLcNZoeiAomnIqGW3rA6dFRidEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGMZgdHHZMI7cUa+NhsBoCIyGwGgIjIbAaAighsCWLVsY9PX1GVJSUhjc3NwYbt++zQC6/hI0eYiqcpRHrRAAnVoBWmxw69YtBmdnZ4akpCQG0ATT1q1bqWUFzc0BLSJavnw5g6amJkNtbS3DhQsXaG7nSLMAlB9BJ3+Vl5cztLe3g8MadOINKOwHa1iArlQELTScN28eA+i0Mm5u7sHq1BHhrkuXLoGv9TQzM2N4+/Yt+MSymzdvMoSEhIwI/w8GT4IW3YBOsNy9ezd4sfZgcBO13NDQ0AC+8pmDg4NaRg57c0Anl4JOtQMtLHdycmJISEhgePPmzaD3N+hKdNC11qampgygOgh09eu2bdsYRhcPkxd1oGvlg4KCyNM8CHSNpgfqRsJQTw/UDY1R00ZDYBSMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbA0AKji8uGVnyNunY0BEZDYDQERkNgNARGQ4CMEABddQk6XcjX15dBQkKC4dy5cwyg66wUFRXJMG1UCzkhoKSkxDBnzhyGK1euMIBOuQHFhZeXF8Pjx4/JMY5uep4+fcrg7u7OEBMTw+Dq6soAWiQHmnCmmwNGkEWga/aqq6vBYQxaiAA67c7T0xN8Ve1gDYbu7m7wgonB6j5quuvDhw8Mg/HUQdDij+zsbAZDQ0Pw1aSbNm1iAF3JBjq9jIlptLtLzTQwatZoCJAaAqCrREF5ErSQf+/evQygEwVBNKnm0FM96ISy9evXM4AWDoPYo3U+PUN/8NkFSgOj6WHwxcuoi0ZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQE6A9GR9vpH+ajNo6GwGgIjIbAaAiMhsBoCNApBECLDmbPng0+BenatWvgKxpBJ6qArmiikxNGrUELAdDCslWrVoGvyAJdL6anpweewAXFFZrSAeeC3Aly38OHDxmOHTsGXhwHWpw44A4b5g6QlJQEpwnQhO7du3cZfHx8wKfHDHNvD2rv/f37lwG04C8nJ2fQuRN0ghw/Pz8D6Lrjs2fPgtPLoHPkqINQQuDVq1cMoGuGUQRHOcM6BEAnV4GuSrW3twcv2AZdfzxYPezn58dw//59hri4OAZQ+TJY3Tlc3PX161eGJ0+eDFrvjKYH+kbNYE8P9A2NUdtGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2BwgdHFZYMrPkZdMxoCoyEwGgKjITAaAqMhQKUQ+PHjB0NsbCz4aq7w8HDwaWWgKxqpZPyoMRSGgJ2dHcPFixcZ0tPTGdLS0hhAcTSYFhtUVFQwREREMISGhoLTDuh6Lwq9PKqdxBCwtLRkOH/+PMOiRYtGJ/hJDDtqKwddd1hXVwc+8XHy5MnUNp5i80ALVUCnC44uBKE4KOliQG5uLgPoNCjQSZB0sZAIS0ALWWfMmEGEylEl5IYAHx8fA2jRdl9fH7lG0E3f6PWndAtq8FXYJiYm4PqefraSZtNoeiAtvChRDboafbCnB0r8N6p3NARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGMhhdXDYKRkNgNARGQ2A0BEZDYDQEhl0IgK4yBC0k27FjBwPo+qWZM2cycHNzDzt/DnUPcXJyMnR0dDDs3LkTHE8ODg4Mz549GxTeUlFRYViyZAkDaLHBaNoZuCjh4eEBX6M2cC4YtRkWAgEBAQz19fUMpaWlDBcuXIAJj9KjIUByCPT09IDrZDMzMwbQlYkkG0BlDTdv3mQAnag1d+5chl+/flHZ9FHj0EMgLy+PoaqqCl14lD9CQ6C8vJxBR0eHwdHRkeHgwYMjNBRGvQ0LgdH0AAuJUXo0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BAYfGF1cNvjiZNRFoyEwGgKjITAaAqMhMBoCFITAo0ePGEAnHoGuVTl58iQDaMESBcaNaqVDCDg7OzOcOHGC4fPnz+C4e/z4MR1sxW9FSkoKQ1RUFH5Fo7KjITDCQgC0IAR0ih/oujjQVZkjzPuj3qVSCMjKyjIcPnyYISQkhAG0aBG0iJdKRpNsDGhBM2hRC8hNoGuz2djYSDZjVMNoCIyGAPkhwMvLy7B161YGFxcXBg8PD4bjx4+Tb9ioziEfAqPpYchH4agHRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhjEYXVw2jCN31GujITAaAqMhMBoCoyEw0kLg9evXDG5ubgxCQkIMx44dY1BWVh5pQTBk/auqqgqOM35+fgZ3d3eGt2/fDlm/jDp8+IXA6tWrGTZs2DD8PEaij0DXY86ePZvhxo0bDPPnzydRN2XKf//+TZkBo7oHVQiws7MzzJkzh6G5uZkhOzubYeHChXR3H+iUMtACN9B1jaCTTgUEBOjuhlELByYE/v37x7B///6BsXzUVowQAJUHK1euBC8wCwoKYqD3JoPR9IARJQMqMNDpYUA9P2r5aAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMYjC6uGwQR86o00ZDYDQERkNgNARGQ2A0BIgPgT9//jD4+voygOjRSWLiw20wqRQUFGQAxd2PHz/gcTmY3DfqlpEZAqD0CLrGbXQhAiT+1dTUGNLS0sBXZP78+RMiSGPyzZs34OtRR+OAxgE9AMZXV1czVFZWMiQnJ4NPL6KnE0DXr125coVh/fr1DKCFzfS0e9SugQ2B1tZWBk9PT7ovYhpYXw9u20GLl5cuXQreIAJaYAZqz9PLxaPpgV4hTbw9A5keiHflqMrREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBhZgGVkeXfUt6MhMBoCxIbAoUOHGG7fvo2hHDTxr6Ojw6CiosLAxET79akbN25kAE1choWFYbiFHAFa+uvatWvgU01AJ2vU19eT4zyy9IBODzl69Chevdzc3AwREREM1A5PdEu3bdvG8OnTJ7BdIDnk8I6Pj2dgYcFe7YDCDnYFir+/P4OIiAhI+ygeDQGSQqC3t5fh0qVLDBcuXGCQkJAgSe+o4sETAlJSUuAFBkZGRgz9/f0MpaWlg8dxoy4ZNCHw8eNHhpqaGgbQwhRa53fQwhPQSXqgBTCDJgAG2CGgsAC1KW7dusWgq6tLc9eATrYCLfLT19enuV2jFtA/BFpaWhhevHjBcOfOHbpZfvPmTYYpU6YwgK7k1NTUpJu9oxYNfAg8ePCAoa2tjQG0oAh0HerAu2jUBbAQAJ0iuHbtWgZQWb9p0yYG0CIzmByt6NH0QKuQpdzcgUgPlLt61ITREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBi+gPH/////h6/3Rn02GgLDOwRWrVrFEB4ezkBMNtbSYmAArc9qaCAuTBITExkWLFiAU7GTkxMD6OoKWi8CMjU1BV+Ndu/ePZxuIUWCVv569eoVg4KCAsP379/BJ2uATkEgxV2UqJ05cyZDRkYGXiNAEyePHj1ioHZ4olvq4ODAcPfuXfgpAMjhvXPnTvB1heh6QHxQOl61ahWIyXDq1CmwO8GcUYJuIQC6QnLfvn0MqampDOLi4lS1F1TugKL32jWqGotiGGhCWk9PD3ySDugkEhTJUc6QDAHQpC9o8he0YHD0etMhGYU0dfS3b98YtLS0GOzs7BgWLVpEU7tcXV0ZQIu0R6/FRA1m0DVi9NhoALqSFNROAJ1qCLr2GNUVo7zRECAvBAoKCsDXIp47d44BdEIOeaaM6qJmCICuSRUVFWUAbTShprnoZoE2LYHaFpcvX2ZgZWVFlx7lD4IQAG08AtXx9HDKaHqgRyhTZgc56SE0NBRsKagNAWaMEqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoClILVtD92iFInjuofDYHREBjQENi7dy8DaDcvCIN2+G/fvh28oA20CKWsrIzmbsvJyWGghT3U9hfo5DDQwrL29nYGei4sQ46AwsJC8CQZ6MoodAxbuEWr8ER2BzY2aNIOtBgRmxxogcCWLVtGJ/awBQ4dxQ4fPsxQW1vL8Pz5czraSj2rJkyYwCAnJ8dQXFxMPUPpaBLoFCbQRDeoHAFd/wZig05tpKMTBp1VoLJfWlqaYeLEiTR127Nnz8AnpH39+pWm9lBq+Gi6QA1BLi4u8Mkzy5YtYwDFIaos9XhfvnxhOHDgAENkZCT1DKWzScuXL2dYt24d1W2lx8IykKObmpoYYmJicC5QB6kZSngg8vJA2DnY4wR02unWrVtHbPuT2DSB3D6hdZyC+mc9PT00tebp06cMoJOxQKflUWNhGai9Bmq70dTRNDZ8MKYFei0so3Z6wBVVoJMZQe1abPLEhj82vbQWGyxuo1d6oHV4jpo/GgKjITAKRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BIY6GF1cNtRjcNT9oyFA4xAATezLy8szgLCamhqDh4cHw4oVKxjExMQYQAuCQKdW0NIJoKsUCZ3KRY791PbX+/fvwc4AXeMGZmAhaB1WoPgBnRyGDVtYWIBdRKvwBBuOhwC5CXSt2K9fvzBUgdIRaIGZvb09htyowGgIEBMCoKvSQAtMUlJScF69Sow5A6kGtIAFtIgKtKAMhM+ePctA6zJjIP1LjN2gSd/k5GSGpUuXgq9HJkYPOWqWLFnC0NzcPCjTjra2NnjRMMhfo+kCFAqoGHRdFi8vLwNo8RSqDPV4J06cYPjz5w+DjY0N9Qyls0lHjhxhAPmDztZSxTrQ4n3Qov38/HyqmDcYDEHPy8j5nJruQzYX3U5q2jNUzQJtfJCRkRmqzifK3chpAF0DsWkCuX2Cbga1+REREQygk3RpuWAY1I8FXbXn6+tLFefD2m5UMYxEQ/DFL7pR+NQOxrSA7n5a8amdHnC58927dwxTp07FKk1s+GPVTANB5LQy2NxGA++OGjkaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQAIYXVxGQmCNKh0NgdEQQISAkJAQAz8/PwPyqRWgkz2ys7MZQIucQNcwgk75mDFjBsPfv3/hGvPy8hhAiwWePHnCAFILuvoEJIlPHHS1IkgNDH/48IEhKyuLQUdHh0FCQoIBNLm8bds2mDSYxmUeWBIPgc1fhOyrqKgAn3oDMrampoYhISEBxATj69evM3h5eTGA/Am6Ugt0LSVotzxYEkrgcyshu6FGEE2B7EIOT9AViKDTzECTOFFRUeBFhKDr55KSkhjQT/EhJn5xOSQkJIQBtABv9+7dGEpAp6qB4tHW1hZDDiRAbBgQ4z7QIqT6+noGkB/Z2dkZVFVVGdLT0xk+f/4MsgqM4+LiwCekgDlIREdHBwPIjaBFBiBhUFhiS8sgOWLcDAp70GI/0HWOoEVRoDwDum4WtNAFZEZfXx+DsbExeCGnp6cnw+3bt0HCKJhYewjFcVpaGgMor4IMB8U9yG8gNjHhBVI30Bh05eqnT58YYmNjqe4U0AIvUHmFzWDQlcQPHz5kIOfECtBCS5CbsZkLWvwKOkmOk5MTRRpUloLiHEUQyiHHDSCtoPSMrBc0iYSe90HqQPjt27c4r2HG5x+QXnIxKI+A/Iyt7CDXTHR9mzZtYggMDGQAlQnocpTyQXkIhEHmkJNeQJORoLAF6adnugDZiSt94koHoLwCOpkD5FZ0jE8OXS0pfA4ODnDcbdy4kRRtJKkFLfQElc+g8CdJIwmKCYUPKA+A1GAzEp8caOE2Nj1DSQy0uNTQ0BBcH9LC3dQqA0lxGygtIZfxyPkc2Rx8cQsqV0AYph5bvkQ2F91OkD5CZRKuOgeUFnHldZC5IxVTK1ywxSUsTPGVzTA1yDRyGkAWB6UdYWFhBuR0CJPHZz9MDbX8CjMPRru7uzOAynXQFbgwMWrToNPq/Pz8aFLnw9xKTBjC1MJoQvkRpg6ZxhW/yGpgbFxqB2tagLmb1jQt0gOp+QNb+QzyN6n5HaQHhEFxCsIgNqXpCpfbcNUPIDuR+xUg/igeDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBg+YHRx2fCJy1GfjIYA3UJgw4YNDDdv3kS5Igp0DaOLiwv4VDPQxABosczjx48ZMjMzGSorK+Fuu3TpEgPoFApvb2+GadOmga+xA0niEj9+/DjDwYMHQUrAGLTIAzTJuGjRIgY7OzsG0EIp0JWdoN3noGvxwIoYGBhwmQeTx0Zj8xcx9klJSYEXAIHMBE1Ag055A7FBJ4WAFpOBFpiBFjCBFp6BTkkALbQCnZIDUgPCuNxKjN0g/aRg9PC8cOECA2hQ3czMjAEUX6ATA0B+mD9/PgNokRXMbGLjF6YenXZzc2Pg4eFhQL8aE3QaAmhhYHBwMNZFK8SGAbHuAy1KbG1tBaed7u5u8MK/xYsXM4DSLMzNoIUEIAzjw2jQ4i5QnIImDEBilMYbKOx37drFADqxDRQvjo6O4LwBCnfQgsTy8nIG0IkaoNNyQNfQgvIXzG6Q/cSGDcgeQnEMWhAqKSkJMha8OFRFRQXMJia8wAoHmDh//jx4oaC4uDhVXQIqE0ALQzU1NRlA+QJ0hRbMAlCYguwzNzdnEBAQYACdqgOaaAHld9DEKGiRFkytj48Pw6RJkxhOnjwJdmdJSQk4bkGLWUF5Dn0S5v79+2AzQfnj7t27DKATNqZMmQJepAqaDAYtcoQt/AEtjALFHcgNoMWJoMWBXV1dMKux0iAzQW4E5QGQXpCZoEWy1dXVDIKCguCFw7m5uXC9oMV7GhoaDOrq6gwgPxcVFYHliPUPWDGZBGjhKSg9YsuTZBqJoQ20wFNXVxdDnFwB0GJdUPiCylHQpBxo4Ss56cXAwIDh5cuXDP7+/gwLFixgoHW6IBSfuNIBKJxA1xYqKiqC0wjIz6CyEiQOwvjkQPKUYlDcgdI0pebg0g9aRAMqi3HJUyqOL3zOnTsHXkgPameA8ino6mLQRDHITnxyoMV2oLwNKhcsLS3B9TtIz1DEZ86cYQCdfkpNt4PSCyiPUloGgvSDyihQPgW5D5RPQekflGZAfFwYOS+j53OQHlxxi61swZUv0c1FthNkB64yCRQ2+OocfOkVZO5IxbjCBXTiM2hTAyhcQIs9QSctVlVVgbhgDGpbgPpFIA6uuCRUNoP0YsPoaQA9/YDqKFAZAWprgPTjsh8kh4xx+RVZDblsUL4E1SWg9EquGYT0gdI46GQmQurIkccVhqGhoQygTSUwM0GLWkFlNGzDEa78iK9NiR6/MLOx0ehqh0JawOYPWohROz0Qmz9A9TkoHYKu5QSld1heJDe/o8fpUGl70iJOR80cDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREKAh+D8KRsFoCAzZEFi5cuV/BgbQmhzCXtDU/P+/vp6wOpiKhIQEsNlWVlb/XV1dwdjOzu6/qKgoWDwgIOD/ly9fYMr/p6am/mdnZ////v17uNj379//S0pK/tfQ0ICL2dvbg/W7u7v/v379OkFxExOT/4qKinB10dHRYP0nTpyAi/38+fO/k5PTfzY2tv9v374Fi+Oyh1R/EWvf3Llzwe46fPgw2P5///79NzIy+i8kJPT/6dOnYDEQ8evXL7hbb968CRL6j8utxNo9Y8YMsN36+vr/QfGCjkNCQsD2gAj08ATxQWmovLz8P8jNIDV///4Fu52fnx/EBWNS4ldGRgasB0TAwvvJkyf/o6Ki/vPx8f3/8eMHSAqMly9fDnb7oUOH/tfU1IDZp06dAsuBCGLDgBj3gexlZWX97+fnBzIajidOnAi2FxYfWlpaKGkWpjApKQmsDpTeQGKUxhss7FtaWkDGgfG2bdvAdnBycv6HuQckER8fDxZHFiM2bGD2EIrjjo4OsB3nz58HWQmOJ2LCC6yYAAEqe0BlEAFlZEunp6f/d3Z2Jls/No2PHj36D4oHUBoFye/YseM/IyPj/7t37/4HpWeQ3ObNm0FS4DwOKqdAaenq1avgcASlN7Dk///g8rOvr+//kSNHwHLZ2dn/QekIVDaA9DU1NYHNBOVFUBl6584dsLrPnz//h7HDwsLAZe7p06f/i4uL/1+8ePF/mBuXLFny/+vXr/9nzpwJ1ldbWwuzGisNMzM2Nvb/69ev/y9cuBCsz9fX9//Lly//79q1C8wHyYEMAJVlK1asAJcRIDfz8vL+P3v2LF7/gPRRC4PK94yMDGoZh2IOKJ5A8bp27VoUcUo4oPQBiktra+v/oHQDSjPkpBeQGyQkJMBmgNiweKNVusCXPkH240oHIHcJCgr+//Dhw39QHQcqS0BtB5AefHIgeWpgUNwxMTGByyxqmIduBigf3L59G12YKnx84QOKZ1Abqq6uDpy/Hz58CG4PgfI5Prlv376By6729nZwnMDyd2lpKVXcjG7I79+/0YWoygeVdchtPmoYDgp3UB6ltAz88+fPf3Nz8//BwcHgekBAQOD/0qVLCToRZj8oHkGKkfM5SAxXvKOXLaB2Nq58iW4usp0gc3CVSTB12OockByuvA6yj1oY1B4FtUWpZR6tzcEXLl1dXf9tbW3BTtizZ89/Li4ucJoBCVy+fPk/KM3A8hCuuCRUNoPMwoWR0xYo3kHpHlY3XblyBVzXg9IcSD8u+2H6YO0TWqcBUB8R1H8AuYkWGNSOAZXr1DIbFKagsAGZhysMV61aBe4TgupIkLqdO3eC+0SgPAwKX1z5EV+bEmQOcvyC+PgwslqQnSB3D/a0APIPqJ0GommFqZke8JUFoLgE5X+QPyoqKv6rqamB2/4gPkgfKD5AeZHc/I4ep0Ol7QnyPymYlPQAGgMBYVLMH1U7GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIYAXrBo9uYyGC/dGjR4NgeEQAqCTkmAYdOoWaFctCwsLA+jEpYkTJ8K9CDrJ5vTp0+DTdmCCoKscQOphJ+zAxEE06OQu0Ek4IDYyxiUOUgO6zmPZsmUMoNPAQKcFgcRAmI2NDbwbHGTfunXrQEJwjMs8mJ9ANC5/kWMfzGLQqRMgDDpJCHTiCEyclZUVfG0myK3o17whu5Ucu+/du8dw7NgxDAw6FQtmPzYadPVeQ0MDAyMjI1gadNWptbU1w8ePHxlAp2OBBEmNX5AedBweHs4ASgvbt2+HS4FOMgOFD8g+uCCUQUoYEOM+0KlSIKNBO7lBJ12B2CAMujISdGoD6KpMEJ9UTEm8gdJeaWkp3Ep9fX0wG5RuQKeJgTkMDPBTW65duwYWIiVsQBqIiWOQOmRMq/BCtoNabFjapZZ5IHNWrVoFPq0MdLIYiA863W7NmjUMoDy8YsUK8AleoBPJQHKgNAy6Bnj9+vUgLkEMym+gcgukD3Q63JYtWwjqAZ1GBrpa18TEhMHKyorhxo0bDKtXr2YAndoUHR3NwMXFxQC63hR0uhhBw6AKGhsbGURERBhAJz+ChEBuERMTY3B1dQX789atWwygMhJU7oaFhTG8fv2aASQGuj4SZD9IDwiT4x+QPmIxyA2gcolY9aSqA6UfECZVHyH17e3t4FMRQekCdOIbuekFnz20SBfY4hMUB7jSAegkLdBVqrNnz2Z48+YNQ1lZGQPotEWQu/HJgeSHAgblEdDpebRwK77wAZ0+BmorFBYWgnYRMIBOLgOVM6B2Dj45UNiD2l6g0whB15eDTsPU09OjhfPBZgYEBIDbNWAODYiYmBgG5DYfNa2gtAwE1eGgk3RB7RpQvQ2qJ0BXjFPiRnxxCzMXVraA6hFc+RKmFhtNTB2GrWzBl16x2UOu2KNHjxhAYQs6wYdcM+ipD1+4gE6iPXXqFAPoijrQScygE51BJ8qCrmPfu3cvA+hkX1C/Cl8ZC/MLtrIZJkcKDUs/oFPCYPqIsR+kFp9fQfJDAYPaXqByndpuxReGoHYW6LQyUPkMshfUngSd2gyKA2LyI0gPLfBgTwugU4BBfRhQvUcL/4PMpGZ6ICZ/gNpIU6dOZQD1R0EnXYLcgA2Tm99hcTrU2p7YwgBdjB7pAd3OUf5oCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGACpgQeWO8kZDYDQERkMANQRAV/ygL1Z4+/YtA+hqR9AVaqDr4gIDAxlAC8VA4qBr40CLmUBXVYKuEQQtJgIN2iKbCrpmDrRADFkMxMYlDpIDYdBVnKBBW9BCINBCJZAYDIPsAbFBV1uAaBDGZx4x/gJddUSKfSA7YRjkdxAbdOUhiEbGRkZGYC5okQaYwcAAvu4OOUxI9SvIHNBEYEZGBohJEgYtJgFNbiBrAl2NB+KDwhpEkxK/IPXYMOhqINBEN2hBGWgyGjSxtmPHDgbQlaHYFo6QEgbEuA+0+AZ0NRHoelJQHIDSrqOjI/hqTNCEMGgiE5u78YmhpzFS3AwyF5Q3QJPDIDYIw+IBJA7iwzDMbaCFBiAxUu0hJo5B5iJjWoQXsvnUZIMW7oAmaahpJqgMA6URZDODgoLAXJAc+mIHBQUFBtj1RmBFSMTv37/hPFAeQJ7UBF23B1qQA1eAgwGKQ5gUaKINlBYePnzIgL4o0sLCAqaMIA0q40CKQBPbIFpVVRVEgTFosRVogSEob4IWO4AmwkBs0AJIWHoEKSTXPyC9xGLQVT+gvEqselLUgRbKgcIWtJiBFH3EqAUt/AOpoyS9gPTjwyC3w+SpkS5wxSco7nGlA9DCq4ULFzL09fWBF5aBrnkCXQsFahvgk4O5m1IalA9AaRkUl5SaRW/9+MIHtGAcVAfD0hHMbTo6Ogz45EAL19EXbKOXVzCzqEGDFp2il5XUMJceZoDSDcgeSspA0EJw0NW1y5cvx7j6G2Q2qRhf3MLMgqUJfPkSphYbTUyZhK1swZdesdlDrhjomnaQXvS2EEhsMGJ84QIqD0FtFNBCOVA7pa2tjQF0bTAIgxaXgRYYgfxEKC5xlc0gvaRiWPpB1kfIfphafH6FqaGUBsW/mZkZpcbQXT++MAS170F9Z9CiMmdnZwbQwh9QfwjkSGLyI0gdDCO3KWFi5NKDPS2A2magvricnBy5XqSrPkL5A3Q1LmgxMqiNvX//fgZci5Epye+wOKVlusJWP4DaYpT0SYiJqKGWHojx06ia0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYamD05LKhFmOj7h0NgUEQAqDTM0CnPYCcsm3bNhDF0N3dzQBaJAE6xQk06O3i4sIAWsCFPsEJUoxrAhiXOEgPCIMWr4FokDrQ6UHIGOQm0Ok9oEkckBoQBqkD0cRikBnI/iLVPmR7YItFQAtOkMVBbNCuWxCNvEAD3a2U2A0ymxQMWpCASz1oQB8kR0r8gtRjw6BFVKDFBps3b2YADa5v2rQJfJID+kJBmF5SwoBY94EWRN65c4ehtrYWfNLTjBkzGECnCYHSzYsXL2BWY6VBp4WhS1Aab6CTqNDNBPFBE1QgGhcmJWxAZhATxyB16JiS8EI3i5Z80GJB0IJOQnFIihtAC8BAaQVZD2iBFeg0P5Ac8sldIDWgk0hAk1+gCSMQH7QwC0SDMPKiV9Ciyu/fv4OEwfjEiRMMSkpKYDY+AjlNwPIlaHHj9evXUbQh24UigYWDbCa6NMwO0AmMoPwCyrf3799n2LBhAwNyuiXXP+j24eI/f/6cARQPoDjGpYZScdBk4KVLlyg1Bqd+StILTkOhEshxCIszStIFrvjElw5AcWRjY8MAOp3n5cuXDKAyHbTQGZTO8clBvUAxBYo79AlNig2lkwH4wgc0eSskJMQAmkwFLbYA4bNnzzJMmzaNAZ8cLy8vA3q5gHxaJ7W99vTpU/BJjtQ2lx7mIecfdPtg+Qlf2gfpAW2oAC0UAZ0oCTpFFaYPJEcOxhe36OYRchu6ehgfX5kEU4McNjA/4UuvMH3UoEELr0DhICsrSw3jsJoBKutAp/1ilSRRkFC4gE4v27lzJ8OVK1cYQIumQH0k0MKyw4cPM3h6eoJtIxSXIPeCylSwYgYGBmLbDjD1hGhC9sP0E/IrTB25NOiEN9CiGEVFRXKNGDB9hMIQdAojqA21Z88eBlC73MHBAexWfPmRUJsSbACVCUL+gFlH67QAsgd0YjOoLBoq6YFQmID6wqB839LSwpCfnw8+7RXkT3RMjfxOy3QFihOYm2H1AyVtT5hZhOihlh4I+WdUfjQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhiIYXVw2FGNt1M2jITAIQgB0tQfIGaCFUqBTK2DXL4EmP0Gnm3R0dDCAFhKBJglA6qiBYQswQKfrLFmyhAEZg05NmTJlCgPo6jZK7EL2FyX2wQbBQQPI6O4BTUSCxGDmg9joGCZHS7+i24mLT834BS06AF2ftnXrVvAJH6CJQ1wnLREbBsS6D3TS04cPHxhAC/5Ap+qcOXOGATQpDroWE3SK3OTJk8FBAJrIAV1tA+YgEaDTwpC4WJnEuhmrZhIE6WEPseFFgrNpphR0Kh7otL3FixdTzQ7QSTSgBRqg8gxkKGjxAOhkRtBJN97e3gyXL19mAC24AsmBFh6C0jToCk1Q3gedggO6VhMkB7q6ElQugtggDEpbM2fOBDHBV0yCFlmCTs4DC5BIgK7TAi2sAV2rCZrcAV0bRK3JcphTQCcRgMIWdoIlKBxAJ+uA7AOpoaZ/QOahY1DZDrIfdFUnuhy1+KBFlPHx8dQyDsMcStILaBE17GRODINxCFCSLnDFJ750AFrw5OfnxwDKB6DJRdBCCpA5IOfhkwPJU4pBbQxQmgSdhkmpWQOhH1/4gOLx/fv3DEuXLgVfiwlaZAYKW9AVavjkQNevgSZgQSfkgPIp6LQk0GIBWvgP5CZQPYp88iot7BlIM/GlfdBCedC1o8XFxeCTK0GLjCdNmkSyc5HzOb64RTcYn9tAapHNBfFhGF+ZBFODjcaXXrGpJ0cMlGZBV32C6mBy9BOrZ/78+QygtgOoDCFWDy51hMIFlG9BmxlA11qDFpeATq6aM2cOA6iND1pEBzKXUFyCylRy2g640gDITmRMyH6YWkJ+hakjlwad6gSKE3LbReTaSw19hMIQdJo16AQzUHkB2hAFW6CDLz8SalMSG78g/xGrlpA/QGaBMK3TAsgOUBsatFENtAEMxB/smFCYgPoHoGurs7OzGeTl5cELzLD5idz8jmwWvdIVzE5Q3UXrPslQSw+wsBmlR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgOIHRxWXDKTZH/TIaAnQKAdDJZKCTM0DWgXZdgwahQYOgoCvjQCdmgMRBGLSgAjTRBmJTA4NOlwFNXIN2/4PcgGxme3s7g6CgIPjkFGRxUtggM5H9RYl9hoaGDKAJJND1VOhuAE30gk4twzdxQond6PZRyqdm/IJOawBNEMyaNYsBFI+gxYCgxVzY3EhsGBDrvn379oHTCOjqKph9oIVCpaWlYC5oEh/EAC0+A52aAEoPID4IX716FXx6EoiNDxPrZnxmECNHD3uIDS9i3EtrNaC8Blq4CJqsRY43Suw1MDBgmDBhAkNoaCgDKJ1UVVUx9Pf3M4AmhkATxJ2dnQygMg8UF6DJP9AkNWiRAWziMCkpCXzd7bx58xiQ8zro1K9du3aBJ5VAdlhaWjIUFhaS5VTQCSighQyxsbHgtA1igyZ3QG4gy0AsmkALVUDXzoIWgoL8CZrYSUtLYwDlG9DCTmr6B916UFzOnTsXfG0Q+imB6Gop4YPizs7OjhIj8OqlJL2ArtECLXwDLTDCawmSJCXpAld84ksHenp64JMgJSUlGUCLjEDlOujqN9DJLKBTeUBX7GKTQ3Iy2UzQVbSgqyMjIyPJNmMgNeILH1B+A6V/0ClwoEloUFkDuu4KtDABnxwo/kHhDyoTpaWlGZKTkxloFT6gE6ZACxZAaXwgw5GWduNL+6ArzUDtOdDpjqB6AlRnVFZWMqCfbEnIfcj5HF/copuDz22gRX/I5iLrBcUXrjoMWR06G196RVdLLh+0aBu0eDszM5NcI4jSB7qOElR2wE5gJkoTDkWEwsXJyQl8Yi/semfQKXegBfygRWcwIwnFJa6yGaYfF40rDaCrJ2Q/TD0hv8LUkUuDrooELSYaKleiIvuTUBiCFpOBygzQ4t/ExES4Vnz5EdSeA5X5uNqUxMYvyDJi1RLyB8gsEKZ1Wvj48SMDaAMGqE0Bsm8oYGLDBJQWQAtOQekdWxlEbn5HDiN6pSuYnaC2B6gfQqs+yVBMD7CwGaVHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2BYgf+jYDQERkNgyIbAypUr/zMwgA60IOwFTc3//+vrCauDqUhISACbnZiY+L+4uBiOQeJqampgOU9Pz/9//vz5/+nTp/88PDz/hYSE/m/atOn/rVu3/s+fP/+/jIzMf0FBwf98fHz/b9y4ATba3t4eLA7mIBG4xE1MTP4rKirCVc6ZMwdsd1hY2P+zZ8/+v3379v+enp7/7Ozs/11dXf//+/cPrBaXeSD3g8KMGH+BDCLWvrlz54LddfjwYZA2MC4qKgKLZWZm/r98+TI4DOrq6sBi8fHxYDUgApdbibV7xowZYDOnT58OMg4vRg9PEF9DQwNDD8yd165doyh+YeH95MkTuB2pqalg94Li4eTJk3DxmpoasPipU6fgYsSEAbHpD6ROTEzsv6qq6v/9+/f///Dhw/8zZ878DwwMBNu7ZcsWsL1NTU1gflRUFFjd7Nmz/6uoqPwXEREBi//8+ROsjtJ4wxb2b9++BduRnp4OtgNGLFq0CCwOyvMwMWLCBqQWmz0gceQ4BvGXL18OtgOUXkFxQGx4gfQSwqCyB1QGEVJHifydO3f+c3Jy/m9ra6PEGAy93759+3///n0McZDA+/fv/4PC6s2bNyAuCgalr9evX6OIHTly5D8/Pz9Y7NGjR//fvXsHZpNLfP78+f/jx4/B5d7379/BxoDKwQ0bNoDZ1CRAYQDyL8zMp0+f/geVd9T0D8xsGN3c3Pyfi4vr/927d2FCQ5oGhR8p6QXmWZC+379/w7gEaXLTBTHpE1s6ANW7IHz9+vX/58+fB6dHZEfik0NWRyr7y5cv/+Xk5P7HxcWRqnVQqScUPiB/nj59GpzX0R2OT+7Vq1f/L126BG6noeujFt/Ly+u/u7s7tYwb1ObgSvvUcjR6PscXt+h24nMburnIekFyuMokZHXIbELpFVktqWyQe6Slpf9HRkaSqpUs9aD2n46ODlXyCLXCBVtcUlrXgsKV2DoEm/0gvyEHMIiPq7xHVkcqG1R/MDEx/V+xYgWpWgeVenxhOHny5P+Ojo5Y3QuKJ1z5EVubEmYISB+x8UuKWnz+gNlNq7QAMr+wsBDc96K0rQwyi56Y0jAhpi1Gin9AcU7rdAVyD7ltT5BeYjA56SEkJOQ/CBNj/qia0RAYDYHREBgFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAkSBVSzDaqXcqGdGQ2A0BKgeAqBrY5ANFRERYdDR0WEAnaRRUFDAADp1CnRaGeh0HtCuatDVWCD1QkJC4FN+QDtvQaeugPSATqEByVGCQSdwgK4hKisrY4BdOwc6SSglJYWhtbUV7B5izCfGXyBzKLEPdJra379/GSZOnMgwffp0kHFgDAo7kBiYg4egxG48xpIsRe34BV0dOHv2bAbQ6RygXc74HERMGJDiPtDpP6D0CDs9AmQ36FQAUNoBXR8C4oNOCABdXQq6lgmEQSe/gHZhg+RA172CaHyYGDfj00+sHLXtAV07CLqiFJRWQddB7t+/n4GY8CLWvbRWp6yszNDQ0MBQX1/PALoiT1NTkypWgk5fAp1mh80w0NU2oJOasMnx8/NjE4aLgU4Cg3PIZICumAWdGgU63cjGxoYBdKrY+fPnGczNzRlA+QyXsaC0A4pvXPLYxNHDAHSqyP379+FKqeEfuGEMDAyg0wJbWlrA5TrsGlhk+aHIJje9gPSR4l9y0wUo/8PswRWf2NIBTA/ohDsYG5kGtRNwySGrI5UNut4YdGVoV1cXqVrJUg+69hN02gip8UHIMkLhA2pHgU4gwWYOPjnQSa8gjE0fNcSePHkCPoEU+TRQapiLzwzQiaegsACdgIpPHS3k8KV9bPaRWgajpyt8cYtuHz63oZuLrBckh6sOQ1aHzCaUXpHVksoGte1BJyHDriknVT+p6kHtdNBpgKA+TGpqKqnaUdRTK1ywxSW+upaYdAaKZxTH4uFgsx9dObX8imwu6DrUkpIS+OmXyHK0YoNOGAS1NUCn2FHTDmxh+OHDBwZQ2xp0shPoinVs9oHiCVd+xNemBOkDmTdc0gLIL6DT3aZMmQLuQwsKCoKEaI6plR6omT/Q22LExDF6QIHSByXpCt08XHx8bU9ceogVH4j0QKzbRtWNhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBIA4ygNWgjzdOj/h0NgeESAqDFVaBrj0AD8oT8pKXFwBAWxsDQ0EBIJfnyb9++ZQAtbABdf6WlpQVf6AUSB105CLrSiXzTUXV+/vwZbBfoShvQxBD64Cuqasp5lNj36tUrBtD1oKBr3UALQUgdJKfEbsp9jjABFI/0il+ErRAWMWFArPtAixMvXbrE8OjRIwbYYkkxMTGIRUgk6Mo/0LVS+vr68LSMJE2QSYybCRpChAJq2/Ps2TMG0II9EAZZT2x4gdTiwqByZ9UqBoZr13CpoI74nz9/GEDXG7548YLh6NGjDKCyiDomU8cUULoDLV7Edl0uuTaArgUEXQd65coVBlBZCFpcB1pcRq55pOijhX9A9oPyHehaLFC5DrtGGCQ+iokPAXLSBa3ik3hXk6YSlDZA12/DFv+Spps01aCF4qA2jI+PDwO9Fr6Q5kL6qz527BgDqDw7ePAg+BpwWrsAVBdpa2uD6+29e/cy8PHx0drKUfPpHAJnz55lALXlQNc708tq0IKmmTNnMpw4cYIBlL7oZS8p9gy1spkUv8HUghYVNjc3M4DiHnRdOEycljTo+uDGxkaGPXv2MNja2tLSKgZQHIIW9oPqq7y8PJraNRwMB/XBQAvIQVcNg64epoef6Jke8PkHlFZAdSs1+wr47KOmHDltT2LsJzc9hIaGgo0Hbb4BM0aJ0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQFKwerRxWWUBuGo/tEQGMAQGGyLywYwKEatHg2B0RAYxCFAr8VloCB48+YNeIEZKysrA2jxCamLOUFmjOKBCwHQ6VD29vag+54ZDh06xAA6BXPgXDNq82gIIEJg1qxZDDk5OeBT9VRVVRESoyy6hcDdu3fB5TvoNMPt27cz8PDw0M3uUYuGZwj8+vWLAXSaLajtcOrUKQZ8J0QNzxAYub4Cbc4CnVp25MgRBlDco584NnJDZmT6fDQ9DL94H11cNvzidNRHoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCAw5WMw24E0YdMApGQ2A0BEZDYDQERkNgNASoFAKg0+h27NjBALqCCHT61Z07d6hk8qgxtA6B27dvM1hZWTGATuMDxeFALiwDnZ4GuhqW1n4eNX/ohADo6m91dXUG0PV5oJPMho7Lh49LQdcfg04ZunXrFgPodKPR8n34xO1A+YSNjQ18pTToylvk6ycHyj2j9tIvBEDXFy5atIhBWlqawcHBgQFUrtDP9lGbBlsIjKaHwRYjo+4ZDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBiMYHRx2WCMlVE3jYbAaAiMhsBoCIyGwGgIkB0CcnJyDMePHwefagO6InLfvn1kmzWqkT4hAFowAoorAQEBcNzJyMjQx2IctoCuSfPw8GBYvHgxDhWjwiMtBFhYWBiWL1/OcPLkSYaOjo6R5v1B419NTU2G06dPM4CuGjc1NWXYsmXLoHHbqEOGZghISUkxgK6WNjAwGJoeGHU12SEAOv0Q1P6QkJAAX40JupqVbMNGNQ75EBhND0M+Ckc9MBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAYzC6uIzGATxq/GgIjIbAaAiMhsBoCIyGAP1DADRZfPjwYQZvb28GV1dXhvT0dIYvX77Q3yGjNuINge/fvzNUVFQwgBZyubm5MYBOC5OUlMSrhx6SjY2NDAUFBQxxcXEMaWlpo2mHHoE+BOzQ0dEBLyyrr69n2Lhx4xBw8fB0ImgBMegqu4CAAAY/Pz+GqVOnDk+PDkNf/fv3jwFU7g82rzEzMw82J426h04hICwszABaYKavrw9eYLZkyRI62TxqzWAMgdH0MBhjZdRNoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKDBYwuLhssMTHqjtEQGA2B0RAYDYHREBgNAaqGAOhkG9CVR3PmzGFYtWoVg6GhIcPBgwepaseoYeSHwIEDBxh0dXUZZs2axTB37lyGFStWMHBycpJvIBV1gq5H6uzsZFizZg3DunXrwGkHdBoeFa0YNYqIEDh27BgDaCEXEUrppiQ/Px98NWZERATDoUOH6GbvKEANAQ4ODob58+eDrzQELTBDlR3lDcYQuHDhAvjq45KSksHovFE30SEEPn78yABa+E8Hq0iyAnRi1bZt28CLysXExEjSO6qYvBD4//8/w4wZMxhev35NngE01DWaHmgYuDiMHszpAYeTR4VHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2BEgtHFZSMy2kc9PRoCoyEwGgKjITAaAiMnBBITExmuX78OXsjk4OAAPsns0qVLIycABplPQXERFhbG4OTkxKCurs4Aiov4+PhB5kqIc4KDg8HuU1ZWZrCxsWEApaXnz59DJEdJmoXA06dPGRISEsCnyICuQPz16xfN7CLH4ClTpjDExsYygE44IUf/UNMDWgzy8+fPQelsUB6VlZUdlG4bdRQkBG7cuMEAWoxpbGzMALpeNisrCyIxSo6oEAAt1tbS0mJISkpi+PPnz6DzOyhttrW1MYBOUR10jhtmDgJdP2plZcWQm5sLPrF2MHpvND3QL1aGQnqgX2iM2jQaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAoMbjC4uG9zxM+q60RAYDYHREBgNgdEQGA0BKoSAhIQE+ASqrVu3gk9JMDIyYkhOTma4d+8eFUwfNYKYELhz5w54cRbotLJbt24xgOIChGVkZIjRPmBqQFesbt++nWHZsmXgk6pevXo1YG4Z7hZ/+vSJoampCbzoEHQq2MqVKxlAp8mwsbENKq+DrtADnbinra09qNxFC8fMnj0bvBB04cKFtDB+1MxhHALXrl0DXy0Muk72ypUrDKD8DFqoONTyDeh6ZNBVyV+/fh3GsUU7r92+fRt8RTloUbm7uzvDiRMnwIsMaWfjqMmDNQRevHjBkJGRwWBmZgZOA6DF46B0MVjdO+ou2obAaHqgbfiOmj4aAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaArQAo4vLaBGqo2aOhsBoCIyGwGgIjIbAaAgMyhDw8vJiOHfuHMOCBQsYQNcyqqqqMgQFBYEXDQ1KBw8DR4GuIg0ICIAvGAItUgHFgaen55DxHeiazPDwcAbQojh9ff0h4+6h4lDQgr2qqioGeXl5ht7eXoaamhoG0MKUkJCQoeKFYefOL1++gE+PS09PZ6iurgZfBToUPQlaHNfd3c3w7t27oej8Ievm7OxsBtCiMtDiEdD11KATKkH5GVSWDiVPga5qExcXZwCdaKWoqMgwYcIEhu/fvw8lLwyYWx88eABexA86rezhw4fgNte8efOG3ImPoEWFoBNXQQEJWgANokcxaSHw5MkTBtCV0kpKSgybN29mALUDQQvIDQwMSDNokKgGlQsgp4ymB1AokI6HW3ogPQRGdYyGwGgIjIbAKBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BoQtGF5cN3bgbdfloCIyGwGgIjIbAaAiMhgAZIcDExMQQExMDXigEOkkFtLDF3t6eAXRl1/Tp00cXIZARpuha3r59yzBt2jQG0EIs0FWkb968AZ9aA1qcFR0dzQCKA3Q9Q4EPOrFqKLhzqLkRtPBkzpw54Mln0IKEiooKBg4OjqHmjWHjXtDpUiYmJuDTBUELARoaGhiG2qIgWGS8fv2aobW1lQF0QiLoqtWdO3cOyiv5YO4dLjRoQTHoxMerV68yREVFDbkyH1SHga6/BZ2w1NPTwyAmJga+LhG00FJFRYUBJDa6YBF3agUtKgddew1axD937lyGixcvMtjZ2eHWMMhkPn/+zLB8+XIG0LW7oLgHXesKcqKLiwuDo6Mjw9q1axl+//4NEhrFRISAt7c3w/r16xm6uroY7t69C26DD7U65e/fvwxHjhwBt1Pk5OQYzp8/zzCaHoiIfCxKhkN6wOKtUaHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgRYHRx2YiI5lFPjobAaAiMhsBoCIyGwGgIoIcAaKEQ6CQV0GTRqVOnGEBXdZWWljJISkoyBAYGgq/R/PHjB7q2UT6OEACFFWjCFbSoAHSVZFlZGQPoyhvQaVSgCTjQJD0ozHFoHxbCoMnoiRMnMoAW0w0LD9HJE6D08ejRIwbQIiZBQUE62Uo7a0DxD1q0SjsbaGPyy5cvGeLj4xlAi21BJ8xcuHABfJ0dbWyjj6mgE/FAp6T09fUx3Lhxg8HDw4NBWlqaAXSyFmgRHewEGvq4ZuTY4urqygC6AnEoLSQGLR7Zs2cP+CpPWVlZBlAdBjqtbNOmTQygRa9LliwBL4wBnWLZ0tICXrAIWoA2cmKVeJ+CFqeCFpiD8hzoWtGhUPd/+PCBYfXq1eD4B7UDY2NjGUBlIujUOtCiVJDvQacgcnNzM4CucgS1bUCnbILSBkhuFOMOgTVr1jCArkbPyckZUgvHQe1a0ALrpKQkBtAJhra2tgz79+9nAPFFREQYRtMD7jjHJzNU0wM+P43KjYbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbASAGM/0dH1EdKXI/6cxiGwKpVqxhAExzEZGMtLQaGsDAGhoaGYRgQo14aDYHREBjUIQAqd1atYmC4dm1QOxPsONB1V1u2bGEAXeO1Y8cOBlZWVgZra2sGHx8fBtBCNNCiBLDCUQIcAqBTgUCn04DCDBReoOujLC0twZOzkZGRDKAFQ4sXL2YAnVwCOuXFycmJIS0tjcHf35+BjY0NbMZwIkAnJHV2djJ8+/YNfEoLaJEiaLEdaKHCcPInqX55/Pgxg6io6JCaVCbVj8jqQdd/ga5/A02kFxcXM4AmoZHlBysbdJIjaEFNf38/+LrgwepOStx17949hhUrVoBPJQItAnz27NmQPZWNknAgR+/Pnz/BV0iDynrQghrQYmJyzBlsekCnq4HqKdB12aA6DbkO4+Xlxepc0LWxID2gqz9BC06wKhoVHPQh8P79e/A1jaBFZbt37wafamhhYcEQGhrKADqtDLSgCJsnQNd8gk7bBLVtQIvozc3NwQtzMzIysCkf9mKgsYihdhIZrkgBtd/27t0LXmi4ceNGBtDVl6CrXWFpQkNDA0PraHpADZLBkh5AcQZyGSh/g+hRPBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAMVg9uriM4jAcBaMhMHAhMLq4bODCftTm0RAYDQHiQ2AoLS5D9hVo0QHoxAIQ3rdvHwNoYh10dSboSiTQZLKNjQ2DgIAAspZhzwad7AE66e3QoUPg0xvOnj0LXjAEOnkKtADP19cXfPIbekCAwg50+gts0R5owh406ZOens5gZGSErnxI80EL7LZu3Qo++W7btm0MoEUIoFNcQCf5gBbu8PPzD2n/EeN40CLNo0ePgtPIrl27GEDpBLQQBbTYjhj9Q10NKA1MnToVfHUeKCySk5MZQGldU1NzUHvt379/DKCTWri4uAa1O6nlONCpRLgWj1DLjqFsDijtnj59GnwVHCg/g646BKVt0Cmfnp6eDB0dHQxD4UQqbHEAWuwMOj1n5syZDOfOnWMAXXMHWhCdmprKoKysjE3LqBgDA7g+Ay28AS0wBIXVUKy/QYvBQO06UJ0EatuBTtdzc3MDbyAAtWFIOT0TdDUmaFEaaPEKDw8Pw+TJk0dMOrl58yYDyO8gDFqQBaKHqudBJ42CFpKBru4EpQlQXQi60h3UZgFthgCdxkuM30bTw25wmhgs6QHUzwDFGyh/guhRPBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAMRhdXEZxEI4aMBoCAxgCo4vLBjDwR60eDYHRECA6BIbq4jJkD4ImSkDXZYFO6QItrLp+/Tr4tBs9PT3wCVWgRWeGhoYMoMUjLCwsyFqHLPvPnz8M165dYzh//jx4cRDI35cvX2YAnUgAOsUBdHUeaIGBs7MzAycnJ9H+fPr0KQPoejHQqR+ga5JAZoGuzQJdMwQ63Ypog4aAQtCiOlC6AU1knzhxggF0/epwPLENFBWgBRqgyVnQAhSQX0F+V1NTYwCdVgeasAelE3Z2dpDSEYNBC3FmzJjBALoeDnRilp2dHfhUP1BaHy6nvAznyARdc1tfXw8+vRK0iEZfX58BhEfCAlFQvIIWXIFOHZSRkQGHAWhhNajMB4mD5IcaBpVJoMWuoBPHNmzYAK63QAtHQPUPqHyidp4ELVDR1dUFpxlQ3reysgJfvz2UFuSBFkeD6q1jx44xgBbdgBYZgtoGoDZPU1MT+JrZoZAOQG0XUD0MWuQOWjAJqotAV+QGBwczgOonPj4+mnsDtIAJdKUmCNPcMipbAGr3gU74A6UF0AYD0AJD0Mm0oHADlQt+fn7gqyKpbC3NjANdgQu69hnWPjt+/Dj4NF3QRglQegCdOCsmJkYz+0EGj6YHUCjQFo8uLqNt+I6aPhoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMCLB6OKyERnto54eNiEwurhs2ETlqEdGQ2BYh8BwWFyGHkGgq7NAE2yghTSgSddLly6BTzbj4OBgAC04gy00Ay2uUVVVZVBQUGAYrIvOQCctgK44u337NsOtW7cYbty4AT7JBTQZCzrFCOYn0MQ4aEEZ6MQ2al3zBzrRatasWQzLli1jALkDdLoXaKIfdFrEYA0v9LRALT7o6qWJEycyqKurwzEo7KllPi3NAZ3yN2HCBAbQgg1QOgEtKANh0KIUWto7VMwGLTIBTWKD0jpoQh40QU8vt4MWgoAWiIIWh4JO1KusrGQA5TN62T+U7QEtpgBdFQoq40FhCDrtCuQfSUlJBjMzMwbQyU3e3t4goSGDP3/+zABa1Hv37l0G0Amc+E5uA6UZUN01VBeTwSIFFI+gBWWgq2rfvn3LALv2Mjo6moGWC31Ai9lAJ1mBFrSBFq+AFmqBTu0EXaEIwqAFi0FBQTBnDjp69uzZDJmZmQyghTigq51BJzmBFmSByo/BvhAc5GZQmIOu7AbVS6BTtkDtFtDiSNDiIZA/QHFBz0AHXQk+f/58BtBVqqDyA7RQFXTFImiBvYSEBD2dQrJdoPAEndQLqstACwtBizFB6QDkj6HSVrt//z7Dzp07wRi0UBLU5lJRUWFwd3cHY5Cf6Hlq52h6IDkZkqxhdHEZyUE2qmE0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BAiB0cVlhEJoVH40BAZzCIwuLhvMsTPqttEQGA0BWAgMx8VlML/BaNDCKNBpZqDTm0CLEC5evAhepAW6dg2khpWVlUFRURF83RZoYQJo0Q2IlpaWZgBdtwOa9ASdhgOavAOppxYGXWP58eNHhjdv3jCAFgA9efKEAXQlFOg0mufPnzOAFhiAFpaB3A+yE7TQAHT6GmjSE7RADjT5DeLTevIQtOABdB0RaAEA6EQMUNjExsYygK4TBC3OA7ltuOMrV64wgE7LAMUHaCIXdFWXvLw8A8j/oPRiamrKkJGRQbNg+PXrFzidgBbQgBZAgU6YA2EQG5RuQBPK7e3tWO3Py8tjAE2ag06kA50EhFXRqCA4BEAnwOA7IQmUL0HhDlrQQ87JKaAT0kCLXkELakDl0MmTJxlA+Qu0GAQ0eV5cXMwAuqYV7JhRQFIIgK65TUhIYACV59bW1gygRbCgqxRxGQIqy0ALuUBlPGjxCKicB5XxIIwvDeAyj1RxUD8BdNIUKE2B8jCovAedlgMyB1S+gE4aBF1nDOIPNwyq70BXoS1YsIABdEIRaNFuREQEAyj+QAvm6O1fUJkOKuNB8QE62fHMmTPgk9NAC6xxuQVUJoPaEEJCQlRZBPf+/XtwGQ8Km4cPHzKA2hz4ymvQYnNQGQJajAeqg3C5c7CIg/wHWsQLOqEMhEHtHyUlJQZQGgctKAMtjqN1WwZfWIDyICj+QYuLQaengcpoUH0L0gO6ihOUXkFlNIhPKwxabAwKJ1CbEOQeEAbV8SDc0tKC9VpzmFtAGxBA7diBDEOYW4ihQdf6gsIblCZAGJTXQIvHQAvgYSeUgRb2EWMWLdSAwh7kvtH0QIvQhZg5urgMEg6j5GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIUBGMLi6jYmCOGjUaAnQPAdCkUXh4OPiKMkKWa2kxMDAyMjCAaEJqR+VHQ2A0BEZDgJohcO0aA8P//wwMIJqa5g4Fs0AnI4Am5GAYNLkPWtwFmlQCTfCCJvnQ/QGaZARN+oIwaBIPdO0Q7Bot0MQY6DonkB7QqSig6zpBbNDENcgu0MQhaDEZaFIVhEFyyBg0SQ1a6ABa1AZawAWaeAUtXoJhkF3I6geCDZrQBp1kBloUAJoABy1qAp3wAFrEQe+TRgbC/6B4BaUX0AlyoLAAsUGLjUBxBbpiEZebQJPVoFNmQFeUwk48A9EgPkgP6LSUuro6EBMrBp3wApqAh0ny8PAwgBY4gdIKaGEBaGIedKocTB6ZBqW7goIC8PWPIDsaQCtKkRWMsokOgalTpzLk5OSA1YOuUAUtSgItDAOVB6AFQWFhYeATs8AKsBD9/f0M1dXVDKBJc1CcW1hYgK/uBS0SpceCJixOGhZCS5cuZQCVQ6BFnqD2NzEL/yoqKhhAeRZUJqMHAqgsmzJlCviaVHQ5GH/69OkM+/fvZwCdeAVbAAyiQXxQmQ/KZ/gWB5WXlzOAFi+AFg2D8jCoDAGd1KOsrAxe7AyrS2D2DXUaVHaCrj1ctGgRw44dOxhAZRioTAOVW6BFO4Mt/RNaaHr48GFw3gXFCyiuQPU3CIPKdVBdDVoA3tvbC5LGikGL2OLj4xlAC5hAJ7aB7IMpBJkREhLCAFrQDRMbajTIP6BTY0Enw4GuLAeFFyiOQVeQgq5pBMU9aDHUYPYXaPEg6PpxUH0Pci8on+JyL+i0NZB/QW1EUL0OOnUPVEeA1IPYHR0dDKCT0EB8bBh08izoNEJkOZA5oEXsoJPpQOUR6LRdZPmhxAblf1A7CLS4GlRugk4XBi3QNDAwAJ9MBjqhDLQoGLQ4eLD6azQ9UDdmRheXUTc8R00bDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQEGBobRxWWgUBjFoyEwVEMANLlF7OKyoiIGhsePh6pPR909GgKjIUDNEPjz5wvDtm3yDLy8mgyCgsZwzMenTU1rUMySlWVg6OtDERrlMDAwgE5WAC0cAk38ghYggBaEIWPQFUTIC9BAiwpAiwtAgQeaIANNnoPYIAyacAQtQgMtQgGdjAPiw9jCwsLgE9JAE4kgtUMBg/wOuroItFBgzZo1YCeDTiABLfAYjAsFwA4cQAJ0ct7ChQtRFqKAFh+CJlxBzgKdQgda7AJiY8OgdAY6SQWUbkAT3KC0g00dPjHQtY/Z2dkMoAk90BV0oAUM+NSPymGGAGjREOj6LtBJMqCyAXTqFGhxCCh+QKpB8Qk6eQWUD0B8dAy6yhZUNoDKAnS5UT7pIQBaOFlTU8PQ1dXFkJubywBazANa9EuKSaByHhaPoPIdVNaDMGgRDGixFy6zQAsNQQslQOU2LC+BFhiC8iYofkH5DLRwApf+kSIOOpEIVE+AFgCCwtfR0ZEBdPIlaPEUaEH2UA0H0IJx0MIjUP5HxqA8DvIn6DS2wsJCnN4DLc4GnSYJWpAGwqB2AAiDFpaDFq3i1DiIJUAnbu3evZsBtKAMdMUhKF+BFt+6ubkxgBZngRZggfLHIPYC2U4DLQAHnUwJqgtAZQoofYDqC5CBIHZTUxP4pFMQHxsGLcADpR1QHQ9KD6CNBqDTFLGpHQpioPYNaAElaMEcqJwEndIJChdQ+wW0GB6UJkAYtLh2KPiHVDeOpgfCIQaqI0GqQKcCguhRPBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAMRhdXEZxEI4aMBoCAxgCq1atYiB2cdkAOnPU6tEQGA2BQRYCoElt0MIP0IQsCINORwIt5AFNwIBOiQJh0LVpIBp0atEgc/6oc0ZgCIAm0kF1HmjxEijNgk7UAp1kBromciCuOBuBUUC0l0ET/qC2iba2NgPoqlNiTngi2vBRhQygk8tAwQDKDyB6FNMuBF6/fg1uZ4NOwwHVmbCJatrZOGoysSEAWngJWjg1d+5cBtDpjqCT+kAnlIFO6hqqC6eI9ftIUgdaPAW61hR0rSEIHzhwAHxiN2hRJehqQ9CCc9BiW9Ciy5EULiPRr1+/fmU4fvw4A+hEMtCJjCAatFgOtFjSxsaGAZQeQCeTgdoeIzF8Rv2MGQKwOnt0cRlm2IyKjIbAaAiMgtEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQEywejiMjIDblTbaAgMihAATSyCJnBB14IMCgeNOmI0BEZDYEiGAOg0LNDkHWjRDgyDrugBLTgDnXAAmrQFLTQDYdAEDuhqrSHp0VFHD4sQAJ2uBbrKC7TYA3Tim5OT07A4pWZYRA7UE1euXGEAXUsGuqIMdE3d6GQvNGCoQI0uLqNCIBJhxJkzZxiCg4MZQNfOgRZJgq4YJULbqBIahgBoIcnmzZsZQKeUgU5hAl0NCVo8ADqlDNQ2oaHVo0bTMQRAV4eDTiYDncwEWlAGOqkLdL2lq6sreAERiAadzkpHJ41aNQAhAOqbgE4mA6UB0EIy0CJf0DWXoD4IaBEZKM+DTiYb3WAwAJEzRKwE1Q8gp44uLgOFwigeDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQGqgNHFZVQJxlFDRkNggEJgdHHZAAX8qLWjITACQuDz588MFy9eZIAtNgPRsAVnoFMCQAvNYBh0yhlIbAQEy6gXB1EIgCYZQadkgRaagRZ/gK4IBS28GV1oMDgiCbTwD7Q459y5cwyg6+pAV5YNDpcNbVeA0jjIB6A2IIgexdQPAdAJiaArMEEn4YBOxxIUFKS+JaMmEh0CoPYHKE6WL1/OALoKD3TtJehaWH9/f/DiP6INGlU4KEMAdJUh6CQq0CIiEAbFN+g6U9CJZKA8CMKg9uagdPyoo6gWAqCTIkGLyWBp4fz58wygTS6gxWSgNABaUAbK+7KyslSzc9Sg4R0Co4vLhnf8jvpuNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgQMDo4rIBCfZRS0dDgEohAJpYHD25jEqBOWrMaAiMhgDBECBlwZmpqSnD6NVUBIN0VAGVQuDZs2cMoJMJQFekXb58mQF02h7oirTExESG0WsZqRTIZBjz8+dPhvT0dAbQAp3W1laG8vJyMkwZ1YIcAqOLy5BDg7psUHrNyclhAJUjZWVlDG1tbQyj1+1RN4yJNe3x48cMy5YtY5g9ezbD3bt3R8t0YgNuiKi7d+8eA2ghGegkOhANOpUOtIgIdM0laCGyra0tAzs7+xDxzagzyQmBly9fMpw6dYoBeTEZ6LRTdXV1BtCpZKAFZaDFZCIiIuQYP6pnNAQYRheXjSaC0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RCgOhhdXEb1IB01cBTQMQRGF5fRMbBHrRoNgdEQwBoCnz59Yrh06RLKCWfXr19nAF3XCzrNDHTaBAybmZkxiIuLYzVnVHA0BKgVAqBTT2Cn3IAWi4CuTQItNAsICGBgZWWlljWj5pAQAhMnTmQoKipiSE5OZpg6depoPJAQduhKRxeXoYcIdfhPnz4FX4N57do1hoULFzIEBgZSx+BRU4gOAVB7YsOGDQyg0yj37t0LXqAOWhyQkJDAYGhoSLQ5owoHXwiATrLct28feEEZ6EpT0OJBYWFhBtC11qBFRF5eXgwyMjKDz+GjLqJaCNy6dYvh2LFjDEeOHGE4dOgQw+3btxlYWFgYQKcf29nZMYAwaFEZPz8/1ewcNWhkhwCo/gCFAGjzCYgexaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCFIPRxWUUB+GoAaMhMIAhMLq4bAADf9Tq0RAYDQGcIQCaIB5dcIYzeEYl6BQCoJNQQKeigBaaIS9UAC1w0tPTo5MrRq2BhcC6desYQIv8LC0tGUDtl9GrBmEhQxo9uriMtPAiRvXhw4cZQOEKWtQAumJXU1OTGG2jaqgQAqBr70ALTkALykAnlf3+/ZvB1dUVXFaMLgimQgAPkBF///5luHDhAngxGehksgMHDoA3HRgYGDCAFpOBsIODA3hx0QA5cdRaGoYAaGE/aKE/KG+DTiYD0a9evWLg4OBgAJ1sbG9vzwA6nQ509SnoSnMaOmXU6BEcAqOLy0Zw5I96fTQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDgFZgdHEZrUJ21NzREKBHCIAmZ0evxaRHSI/aMRoCoyFAaQh8/PiRAXRdIWiyCYZxnXBmbm4+epUhpQE+qh8lBECnpIAWLsycOZPh/v37DKDT9GJjYxlAWEhICEXtKId2IQBadAq68oyNjY0BtPBPQ0ODdpYNU5NBi6BAXgO1AUH0KKYsBECLT0FXYXp4eIBPzAItMKPMxFHdxITAzZs3GZYvX86waNEilDI5OjqaYfQaPGJCcPCpefHiBcOuXbsYtmzZAl5U9v79e/Dpc6DFgqByH0QLCAgMPoePuojiEABtKgFdcQk6lQy0mAyEv3//Dj6tGLSYDNTmAp1KBsKgBWYUWzhqwGgIEBECo4vLiAikUSWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIUAaGF1cRlp4jaoeDYHBFQKgicXRxWWDK05GXTMaAqMhQHwIkLLgzMLCgkFUVJR4w0dVjoYAlhBAPiVnyZIlDCA+aNI7LS2NwdnZmYGRkRGLrlEhaobA8+fPGfz9/Rnu3r3LALqqCHQtGjXNH+5mjS4uow4AnWyYmZkJXlBWU1PDUFdXx8DExEQdw0dNwRoCoDp/48aN4DAHnSYJujo7JCQEfF3u6GmSWINsUAuC4hN0IhkoLnfv3s1w48YNBi4uLgbQiWTu7u4MIKyurj6o/TDqOPJC4N69e+DrLUGbRUALyc6dOwc+mU5JSYnB2tqaAbSIDERraWmNtqvIC+JRXVQIgdHFZVQIxFEjRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkMAFYwuLkMNj1HeaAgMrRAYXVw2tOJr1LWjITAaAoRD4MOHDwxXrlxhAE1YwfC1a9fAGkET0aDTD2B4dMEZOFhGCTJDADQxvnLlSvDJOaDJURkZGQbQqTmghWagCVIyjR3VRkQIgBb2pKSkMIDCf8KECQzZ2dlE6BpVAgqB0cVloFCgDINOMgwKCmIALZAAnZ7l5uZGmYGjunGGAGgB7759+8Dl7Nq1a+ELekGnRnp6eo5ei4gz5AafBKjcBl1vCFpMBsJnzpwBLyjS19cHX3UJykegqw7Z2dkHn+NHXUR2CICuqgWdOgo7lQy0oPD169cMrKysDKBFoaBFZKDFZI6OjqOnDpIdyqMaaRECo4vLaBGqo2aOhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMcEDZ4jJQZ33NmjUjPAxHvT8aArQJAdCEK2wCEZcNo4vLcIXMqPhoCIyGwHAKAVIWnFlaWo5Obg2nyKeTX0BXtC5cuJBh/vz5DG/evGEApaO4uDjwYjNubm46uWJkWfP//3+Grq4uhsrKSobU1FSGqVOnji40ISIJwNqGoDYgEcpHlaCFAGhhBOjUX9Bi5XXr1jGMLiRFCyAqcWFlKqhcBV2XCFoUDlpQBsKjVxFTKZBpbAxoYeD58+fBV1yCFhYdPHiQ4fPnz+A84+LiAj6hCkRLSUnR2CWjxtMzBF6+fMkAuuIStMEDtPAeFPeghYUSEhIMJiYm8FPJQNddji4kpGfMjNpFagiAxqtBekCn5ILoUTwaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQDGgfHHZkydPGAoLCyl2yagBoyEwGgKIEABNeo0uLkOExyhrNARGQ2A0BNBD4P379wxXr16Fn3AGmgADnUIDUgdaNACayIZhKysrBmFhYZDUKB4NAbwh8PfvX4b9+/czzJo1i2HDhg3gK778/PwYQAvNQJPoeDWPSpIVAqBFUgkJCQx2dnbgk8z4+fnJMmekaBpdXEZeTMMWM1ZXVzOAwnDOnDng/E2eaaO6sIUAqF4GTeIvWrSIAVQnw06DBJ1SqKKigk3LqNggCwFQO2rPnj3gBWWg08nevXvHICYmxmBvbw8/nUxBQWGQuXrUOeSGAOxUspMnTzKA8PHjxxlu374NviJYW1sbvIAQ1IYGnU42uhCX3FAe1TdQITC6uGygQn7U3tEQGA2BUTAaAqMhMBoCoyEwGgKjITAaAqMhMBoCwxisZqHUc6BBY9AAPaXmjOofDYHREECEAGhxGYI3yhoNgdEQGA2B0RBADwFBQUHw6Qmgq3hgcs+ePYMvNgOduABaIPT8+XOwNPqCM9BE2ejpKeCgGSWQQoCZmRk8gQ5aSAY6bQe00Bt0mpmrqyuDhoYGA2gRFAiLi4sj6RplUhICoH6EnJwcQ2BgIDhPb9q0iUFRUZESI0f1joYASgh8+fKFITExEbxgtLW1laG8vBxFfpRDfgggL8jduHEjA6gM9fHxYdi9ezeDs7MzAyMjI/mGj+qkeQiATqk6dOgQeDHZzp07GR4+fMgAOq0TdHpnWVkZuD40MjIajUeaxwR9LABdCXzixAkGEIadTvb9+3cGPj4+BtBJZBEREeCTW0ELykYXetMnTkZtGQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYGhBCheXDaUPDvq1tEQGA2B0RAYDYHREBgNgeEbAqCrmUDY19cX7kn0BWczZ85kAC0aAikYXXAGCoVRjCsEQFdA5efnM4AwaLEi6DSe7u5uBtDJR46OjgxpaWkMAQEBDKysrLiMGBUnMgQsLCwYzpw5wwA6JQ40wb127VrwSTlEah9VNhoCOEMAdApPUFAQuNzfsWMHeMETTsWjEkSHAOjk0MWLF6NcJTx58mSGqKgoBh4eHqLNGVVI3xAALbQELSyCnU527tw58IJAfX19BtDCItDCatApkmxsbPR12KhtVA+Br1+/MoCuNQW1X0AYdL3l/fv3wfGtrq7OADrdNyQkBLyo29DQEHxaGdUdMWrgaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwLACo4vLhlV0jnpmNARGQ2A0BEZDYDQERkMAOQRAi81AGN+CsxkzZjCATu8A6UNfcAY6GQ10ShpIbhSP3BAATcKCcGdnJ8PmzZsZQAvNIiMjwad9gK7dyczMZDAwMBi5AUQFn0tLSzMcPHiQITY2lsHd3Z0BtBA0Pj6eCiaPGjFSQ2Dr1q0MMTExDKDr3ECLF+Xl5UdqUFDF36ArEtesWQPOm6BFSaATB0EnwoEW2oLCmCqWjBpC1RAAnUoFuqIUtLAIRIPKWNBpc6DFRKATXEGn+Hl4eDDw8vJS1d5Rw+gfAqArTUHxDFpIBsKnT59m+PXrFwOsXQu63hvUjhlt19I/bkZtHA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHhAkYXlw2XmBz1xygYDYHREBgNgdEQGA0BokIAtNgMhIldcAaaNAdNwoIm5UAYNCkLujaKKMtGFQ2rEODg4GAALSYD4SdPnjAsXbqUYfbs2QygK1hBaQO0MCo6OppBRERkWPmbXp4BnXi0bt06hsbGRvAVpKAFLP39/aMnqtArAoaJPf///2fo6upiqKqqYgDlR9BCRU5OzmHiO/p64+fPnwy7du1iWLx4MfhaUS4uLvAJg6CFtqPXXtI3LoixDbRw7MKFC+BrLkGnk4EWG/348QO8wBJ0KhloISAo3kavBScmNAevmo8fPzKAFo+B4he0kOzYsWMMoMWfoJNU9fT0GEBtVlBcg9ol2trag9cjoy4bDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGFJgdHHZkIquUceOhsBoCIyGwGgIjIbAaAjQIgRAi81AGN+Cs7a2NoZXr16hXCkEmrgDYSMjIwbQpDst3DZq5uAMARkZGQbQqS+lpaUMoIld0OIL0JWZIDHQ9Y6ghWaenp4MLCyjzW1SYpCRkZGhoaGBAXQqEuhEONAiPtBJcaMLOkkJxZGr9tOnTwygE++2bNnCACqzQflx5IYG+T4HLVgB5btly5aBF604OTkxzJkzhyE4OJhhNC+SH67U1glaSHnt2jWGvXv3gjHoZDLQwiPQSZCgRWSghZUgGsSntt2j5tEnBECLA0ELBk+ePMkAwqBrTUHXW4LqSjU1NQZzc3OG5uZmBtD10qCFZaNtDvrEy6gtoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITASwehs10iM9VE/j4bAaAiMhsBoCIyGwGgIEAwB0GIzEMa34Ky1tZXh9evXowvOCIbm8FXAxMTEALpmCoS7u7vBp/uAFpr5+/szgNIP6Fq+lJQUBhUVleEbCDTwWVJSEoO6ujpDUFAQ+BSWTZs2gRec0cCqUSOHSQjcvHmTITAwkAG0uObQoUMMlpaWw8Rn9PHGs2fPGFavXs0wf/58hosXLzJoaGgwZGdng08RVFBQoI8jRm0hGAKg6w9hp5Lt37+fAbQAF3TqI2hxUWVlJQPohDLQgnfQ4iOCho0qGFQh8OfPHwZQOQZa3ImMQQvM+Pj4GHR1dRnCwsLAdSKofBs9JXVQRd+oY0ZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNg2IPRxWXDPopHPTgaAqMhMBoCoyEwGgKjIUCtEAAtFgJhYhacgU6PAJ0qATrZDBmPXs9GrdgYfOaAJn/j4uIYQPjGjRsMK1asAC/UAF0hB0oDoGuqoqKiGEALAQaf6wefi0BXex0/fpwBlN9ACyc2btzIYGpqOvgcOuqiAQ8B0OJD0GmBoMUXoFOcJCUlB9xNQ8EBoEUrmzdvZgCdUrZjxw5w2QRavDJlyhTwotmh4Ifh7EbYyWQHDhxgAGHQoknQCaqgusbOzo4hPz+fwcHBgQF0XTczM/NwDoph57d///4xgNoJZ86cYYBh0All379/B+dDUJyamZkxZGVlges9VVXVYRcGox4aDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGFqArovLZs2aBT7dAxREmpqa4JMIQGwYBu3UBO2wRR8Y3bVrF8Pp06fBykATskVFRWA2IeLUqVMMhw8fZjh37hzD169fGUATvKDBVy8vL0JaaSJ/6dIlBtDuYtCEo6CgIANoguznz5/g3ae4LCRGDS691BTftm0bA+iamYiICAxjB1s4YziQBAF0f6LzSTBqVOloCIyGwGgIjIbACAkB0GIzEAYtgIF5GXQCDPKpEy0tLQxv3rwBX5EIao+AFhohY1D7BqZ3lB4eIQA69Qd0vWNtbS24/QdqB+fm5jKArtEEnWoGag+CrisDtX2Hh49p4wslJSUG0DVgoEV5oMUUc+fOZQCxaWPbqKlDLQT+/v3LALqOtquriyE1NZVh8uTJDGxsbEPNG3R3L6h+Ai0oW7p0KcOHDx8YHB0dGUB5KzQ0lGG0PqJ7dKBYiO9kMtA4CGjRLegqRFZWVhR9o5zBHQLo7ULQddrv3r1jAMUjaOEYqE0YHh7OAKJBi8pGy7HBHZ+jrhsNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BkQgY/4O2w5Lpc9DgM0gr6PoMEE0Ia2trMzx48AB8RZCnpyfDpEmTwFpAg9pTp05lOH/+PANogZmysjJDTk4OeJcm6Kqh5uZm8G7qly9fggff3r59C9aHiwCZAboSoqenB6wEtJAL5E3QwDlIwMPDg2HZsmUMIHEQn1542rRp4KtFrl27xgBaXAc6eQHkF9AAMsgNoAHGffv2gSdGxMXFQULgXarIasCCA0CAFuXdvXuX4fHjx3DbBzqcsYUX3HFkMtD9ic4n01iStYEmmleuXIl34SHI0FWrVjGABqFB6RvEH8WjITAaAqMhMBoCgzcE0CcWQScyger40RPOBm+cUdtl79+/B187N2PGDHC7F7TQMDIykiExMZFBXl6e2tYNK/OQFxGVlZUxtLe3M4DaS8PKk0R4BnSqFEgZqA0IokcyBpWfoIWGBw8eZAD1JZOTk0dycBD0O+j6RFC/G7SI7Pbt2wxaWlrgUxYTEhIYYH1PgoaMKqB6CIDGAnBdcwm64nJ0MRnVg5zmBqK3906ePAneZImtvWdiYsLAwcFBczeNWjAaAiMtBEgdrx5p4TPq39EQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQIAOspuvJZSAHgk4c2L59O4gJxqAd06ABbXV1dfC1DqBrANauXcsAOtkBtBispqaGAXTiAwjHx8czbNmyBawPHwGadFm/fj34igjQ5B3IbNBCqKNHjzLMmTOHYcmSJeCBdND1KQM5KQVaQAfyL8wvoFPWQP708fGBD/Cjq4GpHQz0QIcztvAaDOEy6obREBgNgdEQGA2B0RDAFgKg081AGN8JZ01NTQygkyxGJyCxheDQFwNtbABdjQnCV69eZVi8eDF4UQxoI4WTkxNDbGwsA2gybPTkIMy4Bp1s3NHRwQA6yQzUPr5//z7DggULRk9ZwgyqESECuj4uKCiI4ffv3wygqwJBJ/2MCI+T6ElQXxPUfwb1uUF9cNB1iqAyZt68eaPXXpIYltRSjryYDLSx7OnTp+BrEEFX/4LKttHFZNQKafqYAxqzunLlCgPoNEDQeBNojOLFixdgy0HX89rY2IBPVwSdSGZkZMTAxcUFlhslRkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAiMhsBoCIyGwGgIjIbAUAN0X1yGHkC9vb0MoGsAQLs5QYPdIPny8nIGRUVF8GQbaHEZSIxYDBqgBS0sA13tAdoBDDr5DKQXNElrb2/PYGVlxXDmzBnwIrUjR44w2NragqRR8L9//xhg+lAkqMwBLZYjZCQhNfRyK7o7h1I4o7sdxB+ocAPZPYpHQ2A0BEZDYDQERkMAFgKgxWYgPLrgDBYiI4cGnegLWizV2NjIANrwAFr8ATp5KT8/H3xyaXp6OgNoInrkhAhxPgUtzAP1E0CbHEAL8kDtfgkJCeI0j6oaFiEAOoEadAUm6MQf0Aluo6duoUYrqJ8DOuEZtHh1+fLlDD9//mRwc3NjALEDAgLAJ4Gj6hjl0TIEYIvJQGMT+/fvB1+RzcPDwwBaTAbaUDe6mIyWoU9ds0Enkp07dw588ijo1H3QgrJHjx6BLVFRUWEAlUklJSVgGlR/8/LyguVGidEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgOgGkgPfHx40cG0C5P0BWZsIVlIPeAJllBk0WgkztAu9FBYsRi0MkPILVtbW1YF4ixsrIyzJo1C3xyGWiXKUgtCF+/fp3By8uLQVRUlIGbmxt8HSXoBDWQHAyDJjFAu4lBg4qgK1hA1xeBrvBMSkpi+Pr1K0wZmD59+jT45AnQ6Qqg6yymTJnCgH51YV5eHvgaJJAG0EQZ6JQ1EBtkHkgOxAbRoKuSQGwYprZbDxw4AL6uE3Q1k6ysLAPoeiaQW0DXD8HsRKcHOpzxhRdoYhZ07Ut2djY4PmFuJybcYGrx0aB0k5WVxaCjo8MAmswEnZqwbds2FC2geMPlDhSFo5zREBgNgdEQGA2B0RBACwFQOwi02KyhoYFh8+bNDKCr30Anm6xbtw7ctgBdrQhakARaIA9qP4EWKcXFxTFMnDiRAbRwHrSQAM3IUe4gDgF2dnZwvILi+uHDhwwVFRUMoEX8oFNOQHHb2dkJvk5rEHuB7k5zdXVlALW1QXkBNJkPmuynuyNGLaR7CIBOogblj+joaIaYmBgG0GKd0YVliGgALXIBlRegjVug+gFUH1RXVzM8fvwYXJeATiwD9YUROkZZtAgB0GIy0HgDaAEsaGwBNF5QXFzMACqvQAuPQCdbgcY5du/ezQDaVAc62Wo0XmgRE5SZCYrHNWvWgE8dA40Tgfr90tLSDKD2GejUTNBpmhkZGQy7du0CnzgLumoWtIATFNegTY2jC8soC/9R3aMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKDDwzoyWWg08RA15iAFmAhBw1o0dmlS5fAO6xJHWgF7SAVExMD7wRGNhOZDRpsB2GYGGjg3cPDA7wQCXRKBOgqItAEX0hICAPoeirQVZUgtaDrV968ecOwYcMG8MlqERERDKAT1+bPn88AcjNsMRposZa3tzcDBwcHA2jhEegUNJAZAgICIGPg+Pjx4+AJY5AAaGEXaKHdgwcPGEBs0M5XkDiyGhCf2m4F7Z4GTdDx8/MzgBbMiYiIMIAGujMzMxlAA6pdXV0gazHwQIczKIywhRco3YCuoQCFP4gN2jEMcjyx4QZSiw+DFq2B0s7r16/BCxRB4bZz507wIDPoFL6CggKwdpDd2NwBlhwlRkNgNARGQ2A0BEZDgMQQAC04A2HQpCZMK6ieBtVvoJMzQBi0+Ay02B3UdgItLgAtToJhU1NTBtAiJpjeUXpwhgAojkGLDUAYFKegBQotLS0M9fX1DKD2GmgRYWBgIAOoDT04fUA/V4HayqDTmUDtddBEPujae39/f/o5YNQmuoYAqA8WHh7OAOobLVy4ENwOp6sDBqllnz59AvdNQaeU7d27F7zxBbSIDLQ5ycDAYJC6eng5C1QXgxY6gjCobw1Kq7CTyUCLyUZPJhvc8Q3aUAda2A26qhpU74IwaIwH1N8HLSADbSjU0tJiAC0kA7WpLC0tGUBjJoPbV6OuGw2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNARqA/xSAkJCQ/yBMrBFaWlr/PTw8cCrv7+//X1BQ8F9VVfW/uLj4/6NHj6KojYuL+y8kJIQihsx59erVfwYGhv9mZmbIwnjZ//79+29kZAQ29+nTp3C1v379+u/k5PSfjY3t/82bN8HiJiYmYPPLy8v/g/SBBP/+/QvWz8/PD+KCsb6+/n9BQcH/9+/fB/NBxK1bt/5zcXGB9V+7dg0k9B9knqKiIpgNIjo6OsDy58+fB3HBGFkNyE5quzU1NfU/Ozv7//fv34PtAxHfv3//Lykp+V9DQwPEBWN7e/v/MjIyYPZgCWds4QVyJygNuLu7/79+/TrYvaSEG0g/zJ8gzej86OhocBydOHECJA3GP3/+hKeVt2/fgsVA+tDdAZYgkgDpXblyJUHVIDUgtQQVjioYDYHREBgNgdEQGPYh8OfPn/9Xrlz5v3Dhwv95eXn/ra2t4W0PVlbW/6B2WGxs7P8JEyb8P3z48H9Q/TXsA2UYePDbt2//V61a9d/FxeU/IyPjfykpKXD8Xrp0aRj4jnIv/P79+39WVhY4bOrr6yk3cJCbEBoa+h+EB7kzqeq8s2fP/peXl/+vrKz8fzTd//8P6n+CyvC0tLT/3Nzc4L6cj48PuJwA5QeqBv6oYSghAArfkydP/u/t7f3v7+//X1hYGNw3FBAQ+O/r6wsWB6VXUH2MonGUMyhCABR/6O0kUB4C9adZWFgw2klfvnwZFO4edcRoCIyGAOkhABqrBmHSdY7qGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RDAAVYN6Mll6GvlQNd2fPv2DSwMugYIdIIYmEMkAdMLOrmMSC0MoGt0QBh06gHotAiYPtCpHwkJCeBriUAneYFOygLJgdwEuqaKkZERxAVfvQnajQwyA3SqFQhfvHgRfH2CgoICWA2IAJ0gEhsbyzBz5kwQlywMsgOEqeVWGRkZhqKiIobc3FwGAaRT1X79+gXmg05jw+bQwRDOILdjcxtMDHRtp4aGBpgLCjMQJjbcwJqwEKDrS5YtWwa+MtXc3Byugo2NjQF0ZSroCivQqTEpKSlwOWR3wAVHGaMhMBoCoyEwGgKjIUCDEACdsAFqP4Ew6IQrkBWgEzlu3LjBADqJA4ZBJ62C6nJQWwfUPgGdxAHDZmZmDKB6DaR3FA+OEAC1PUEnEYHwrVu3GEBtEdDJTZMmTWIAxRvoqnDQleYj9Qou0CluU6dOBZ/8C7qODHQF4PTp00fT8eBIvhS7YtGiReATgxwcHBiWLl3KICgoSLGZQ9UAUFm+YsUKBlD+B512Dcr/ra2tDKBrQkdPUqJNrH7//h18UjnotHXQdZYnTpxg+PLlC/jkKtB1lqDxC9DJifr6+gygOpg2rhg1lZwQAI1pgK6qhLV9YPSPHz/A9QPo9EtQHgLVrSAadMUy6OR5cuwa1TMaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjAQyqxWWgq5xAA4CgK56qqqoYQAt4Hj16BL7eg5jIkJWVBV9F+ezZM2KUg9WA7AMxQIPCIBoZw65UBE3kwcRBC9fQBx1hkxyggWbQoD9ILbZrSECTvSA5cjG13QpyB2gB1tu3bxlAVzqCrpkBTVSA7AFdsYK82A6kFoYHQzjD3IKNFhUVBS8Ag8mB/ANiExvHILXY8M2bNxn+//8PnlAAXcuDrAYUXiD+3bt3QRQYo7sDLDhKjIbAaAiMhsBoCIyGAB1DADTZDWp/gDBswdmfP38YQHUabKIVRK9Zs4YBNIkOWlimq6vLAFo4D5psBWFQWwFkDh2dPWoVjhAAbXYAbXKoq6sDb4AALbwBXcmdn58PvqIbtNDM2dmZAbYJAocxw1IYFAbq6uoMoGvrQekbtOAf1G4flp4dAZ76+fMnQ15eHsPs2bMZysrKGNra2sCbekaA11G8+OHDB4ZVq1YxgPI66BpYUP8sJiaGISkpCbygEkXxKIfiEPj8+TN4MRloPOLo0aMMoAVloLQoKSnJAFpMBrqmGEQbGhqOyPRIcQDTyIDnz58zgDb4gfCFCxfAbNAYDmiBPWgTHSi+LCwsGDIzMxlAbFBdMdquoVFkjBo7GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMGzBgC4uAy3UAWEmJiZ4AINO0ABhkBjo5LBt27aBB8/hCvAwQHpAekELfH7//s0AOpEDm3LQQLG/vz/4tClpaWmwEuRTxsACDAwMoIFkEBt54BF0egRIDBsG+QV0uhVIDlkPiA/C6IvSQGKk4Ddv3oCVU8utIMO6u7sZQBOU7OzsDKDFVy4uLuBT10CLze7fvw9SgoEHQzhjOApJAOQXJC4DqeGGrBeZDVqEB+KDzEdPW8LCwuBTA0CT9yA1IAxSB6JH8WgIjIbAaAiMhsBoCAymEACd9ASqr0AY34Iz0KIO0IIzHh4eBtCpLKCFZjCsqak5OrE+gJEKaouB2mwgDDrBDLb4xNXVlQG0CSAqKoohPT2dQVFRcQBdSX+rPTw8wItB/Pz8GCwtLRk2b97MoKWlRX+HjNpIUQg8ffqUAXTi8NWrVxlWr17NEBwcTJF5Q00zaEHM/v37wQvKQCdN/vv3D7x4dOPGjQyenp4MoDJ8qPlpsLr3xYsXDKdPn2YAjQ/s2bOH4fz58wyg8FZSUgIvsgaVr6ByFsQfrH4YSe4CjfGANvOBFpFdunSJAbaQ7NWrV+BgAJ1uDmqvBAYGMoA2CoIWko3GHThoRonREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RCgGAzo4rKOjg4G0AllW7duZfDy8kLxDOxqD9DVNigSBDig6wwuX77MsHjxYpyL0ubMmcMAWihkamrKAFsABNqV7OPjg2I66CQvkAApA5KwSbyDBw8ygAY1QfphGHQqGIxNDg0zm1puff36NUNFRQUD6IQt0OleyNcpga5YwefGgQ5nfG5Dl6NWuMHSAWgB45IlS1CsAU0CgXa6c3FxoYiPckZDYDQERkNgNARGQ2AohABosQJosRkIjy44GwoxhnAj6FQW0IllIHzt2jXwgpT58+czgDYQODk5MYCuZQct1BkpbRTQyXugxSKgBUmgk2pA14iit/ERoTfKGmwhADoxCnRNHR8fHwOoLwYqkwabG2nlHlj+BV17CVr0BFrM29/fzzCSr72ldliDTjiHLSQDpbXr16+DF0qDTrICnUhWXl7OALqCFdQ/prbdo+aRFgIfP35kAI3rgPIFaKEp6JTVc+fOMYAWvYPaLKCTPEHlA+g0MlBeAV3rLS4uTpolo6pHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASIBogjw4jWQj2FoMkfkGm7d+8GUSgYdFoGSAC08xREE4tBV1WAJtlAp3FduXIFQxvIrhUrVjCArnjy9vYGX4sAugIKJI6u+MCBAwygE8jc3d3RpXDyQYuuQKda7du3D0UN6Aoq0OQWiiCJHNDOW2q69eHDh+Cd2UFBQQzIC8tAC/pAu4DxOW+gwxmf29DlqBVuKioq4IV4O3fuZADtmka2p729nQF0PeqpU6eQhUfZoyEwGgKjITAaAqMhMGRDADR5C5q4BS02mzhxIgNoIh50DTSofTV16lQG0GQuaLIXdEKWjo4OA6j9BZqcB11PCLrCDTQZDDoBZsgGwBB0OOiULtDmDVBbbsOGDeC2SXJyMgPoKj1QPIHicAh6i2Qngzap7Nq1C7zRIyAggKGzs5NkM0Y10D8EZs2axQC61hXUnwK1qUHlD/1dQV8b379/zwDyN6jsBPkX1F+Mj49nAG38OXPmDANo0ShyP42+rhvatoHqH1A9BApfUD0mLy/PADq1PDo6mgFUd/n6+jKAToMDnXINUjdz5kwG0MLG0YVl9I930KI/0EmToGufw8LCGEB5AdS3trW1ZQAt+APFF6jNMWHCBPDplKBNXaA4W7VqFQNIDyguRxeW0T/eRm0cDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGFlgQE8uA51WBlpgNnnyZPCEJGgRF+gaFND1J6DBRdDJYqSeNACaPAPt8E5MTARfhwOaSANdicDIyMhw7NgxBtCgMejkBtCOcNCpZSD1OTk5DH19fQxZWVlgDFocBhrYX7NmDQNocB90UhWxyQJ0FVF2djYDaOATNJkHYoPsbmxsZADtvsVnDmjAGyQPGgAHuR/kfxAfhqntVtAObdBVVytXrgRfsQJacAfayV1bW8sAOi3gy5cvDDdv3mQAqYO5AUaD3DKQ4QxyB6HwAqkBYZBbqRHHoIV9oEVkKSkpDDExMeCBblA4gSYlQIvtQFdRWVtbg6wcxaMhMBoCoyEwGgKjITAsQwC24Aw08QuarAd5ErSAHtReAE3+wjCoLfPjxw/w4nU9PT3wQjTQxDAIj16pCQo12mJQmwU02Q7Cz58/ZwBNwM+dOxe8iAUU/qD2LaitKSYmRluHDKDpoHY+qL0P6gcUFRUx3Lt3j2HKlCkMoHb+ADpr1GosIQAqK0B9JtCJe2VlZQxtbW3g06SwKB0WQqATj0HXXoLKSVA/ArSZCdTnBW12Ai2uA/Udh4VH6ewJUF0Eui4RtIgW1Kfdu3cvw7t37xhA/V3QKYagMg+0iA+EOTg46Oy6UetAIfDr1y/wwklYWwF0KhnoNDJQPIHkJSUlwe0F0CI/UHsB1NYAnUI+midAoTOKR0NgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAiMhsBoCIyGwGgIjIbAwIIBXVzGxMTEADpVAbRQB7TjFIRhwQE6TWvSpEkMoElMmBixdEJCAgNo52peXh5Db28vXBtoUBI0YA+aXJOTk4OLgxYMgQb5QadyTJ8+HS6ekZHBABKDCxDJAJ0Y8fXrVwbQ6Wvz5s0D6wLZC/IP6GoisAAWArQ4CTTwDXID6IoO0KQDujJquhW0Cx7kvqSkJAY/Pz+wVUJCQgygRWPc3NzghXWgk0jQT+kCK2RgYBjocCYmvGBupVa4gRYMfvv2jQE08QWaqAWZD0qjoAVnoKtEQWkMJDaKR0NgNARGQ2A0BEZDYKSEAKgeBE0AgzBswRmo7XDr1i3w6TCwSWTQAv+fP3+CF7CDNheAJo5hGHTi1mgdSpsUA5qsB50mB8KguAAtaAG1WaqrqxkcHR3BJyOBTvcarouuQP6WkZFhAKXN+/fvgxfagU7Zo01oj5pKagiATtkDXWEKWqC6fv16Bn9/f1KNGDLqQSctLV68mAG0iA50WpalpSUDaJNVVFQUeAHUkPHIIHEoqL99/vx5BtBCsj179oBp0JWJoHEA0CYtUH/NxcUFfFI5aNxhkDh7RDgDNLYCOiUdlOZBC8hANKj+AeVzkBxoHAJ0rSWo7gedOA9qC4BOGweNQYyIABr15GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAxBwPj/////5LobtKMUpBd00hiIJoRBk46gRV3bt29HUQq6sgI02XPjxg0GTk5O8ElZoCsrUBQxMIAXO23ZsoXh7du36FJY+SCvgQY1QQu1+Pn5GUATmaCBTKyKGRgYXr16xQC6DhJ00gHolA3QVQy41BIjDposuXz5MgPohAjQjlti9IDUgK6FALkThEF8bJiabgWFJ2hgHjT5CBrghU3ugsRBV7WAroPE5gaY2ECHMzHhBXMrtcINdBUHKMxAp7uB0hXoxDqYHdSgQXEAOlEOdC0IPvNAC9zCw8MZQHGAT92o3GgIjIbAaAiMhsBoCAx0CGBbcAa69m10wRn9YwZ0UhTolGDQQjPQ6T6gxRigNgdowwGpV9LT3/Xk2Qg60Qi0mQLUzgf5HdvJvOSZTF9doHgC2QhqA4LooYwPHjzIAPKPhIQEw7p16xiUlZWHsnewuh12ciDoFD1Q3wG0oCYyMhLcryWlf4jV8BEmCOrzgRYogRaTgU4nO336NAPoJCxQHxZ0GhloIRnoFGnk/uwIC6IB8S4oXkDXZV+6dIkBRIPGP0ALykD1DOhUPlC+Bo2tgPrMoI1roDpGSUmJAdTfHRAHj1o6GgKjITAiQoDU8eoRESijnhwNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAcrA6kGxuIxYP4Cu8CFlcRmx5o6qGw2BwRYCoMH20cVlgy1WRt0zGgKjITAaAqMhQO0QwLbgDLZgAHT1NGgyGnSiCQyPLhqgdgwwMIA2Q4CugwedLAfa7AEKa9BJu6CThYWFhalv4QCaCFoEATql7e7duwxr1qwBn9w2gM4hy2rQYiyQxqG+uAy0sBF0FWZISAjDnDlzGIbTiUWgBbO7du1iAJ1SBjqlm4uLC3xKNOj0PNBp1qB2PigORzHuEABdcQlarARaSHbs2DHwqWSgsgp0UibohCsrKysG0EIy0KIy0OIy3CaNylArBECbq0AnkoJOIQMtHgPRoAXiL168AFsB2pgHqqNBdQhoUyGIDYqr4ZS3wR4dJUZDYDQEhkQIjC4uGxLRNOrI0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BoQXov7js3bt3DLa2tgyga0AKCwuJCi7Q1SGg085OnTrFABrUBJ2oRZTGUUWjITBEAWjSaXRx2RCNvFFnj4bAaAiMhsBoCFAUAvgWnIFOogWdfAKavIZh0AQ2qN6kyNJRzQygk4RBizhAC2KWLl3KALq6zNfXlwG00MzLy4sBdALNcAgm0Gk6oGvOQYuzJk6cyJCVlTVovQU6YQ20sQbZgaDr/0B80ClNIBqGfXx8GEDxBeMPVhp06i/ohDzQSWWg61lBVxcOl/wLOlVr0aJFDKDFmqA+r5OTEzj/gK79HF1ggz9FgtIF6ARx0GIy0KlkIPzhwwcG0Ene5ubm4IVkoDLfzs6OAVQP4DdtVJaSEAAt7Hv06BEDaPEYKE3DFpKBTpkH1ROgOAGdwAeqe2GLyEDXkIJOIKTE3lG9oyEwGgKjIUDNEBhdXEbN0Bw1azQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEwGA1C5iiE+Hm5gY+HQE0KEnKNX4gtSA9JiYm4AFmOjl31JrREBgNgdEQGA2B0RAYDYHREBgNATqHACsrKwNowhqEQSf9gKwHXX0GumoLtOAANNkNWmAzdepU8AIo0EKD0QVnoFCiDDMxMTGATgEC4a6uLgbQInfQQhnQVZIyMjIM0dHRDGlpaQyg68wos2lgdXNwcDAsWbKEQVVVlSEnJ4fh5s2bDH19fYNy8ZyIiAgD6IQv0MI+UPyAQg7ULwLRoM03IBrURwItBExISABxBzW+c+cOQ1BQEAPoBLkdO3YwoC+QG9SOx+G4p0+fgk/BmzdvHgPopC1NTU0G0IlsiYmJDPLy8jh0jQqD0gBsIRmoTAdtIgMtLAadQgYqgxoaGsDlEejkK1jaHw016oYAqCx58OABeBEZaCEZqI4FXWt5/fp18HWjoFPiQNcHg+pXUPkPokGniSooKIxeaUndqBg1bTQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BIYEoOu1mEMiREYdORoCgyAEQCc4gCZ1YVcf4XIS6NSN8PBwBtDkAC41o+KjITAaAqMhMBoCoyEwHEMAdtINaGECDMNOVhEQEAAvUAOddAPDoMVqwzEcaO0n0EKDhQsXMixYsIDh9evX4NOHQYv+QIsNhvppTKC2FmgRkL29PcOKFSuwnogEWsQIun7PwMCA1kGNYT6ofScnJ8fw5MkTDDlkASkpKbAaUPsRWZyebNCVhc+fP2cwMzPDai3oFGpQmgEtTAGdWgaisSocAoKg0+9Ap8qBFl+CFsnx8PAwgNrsoFP+QAujhoAX6OpE0ElYoEWcsMVkhw8fZgAtagItXtLX14efSubg4MAASu90ddwIsAxUjjx8+JABdgIZiIYtIvv69Ss4BEDhDqoj9fT0GEALyEALyUALJdnY2MDyo8RoCIyGwGgIDLUQGD25bKjF2Kh7R0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhgCg77WYQyBARp04GgKDIgRAk4OgCU/QRBU+B40uLsMXOqNyoyEwGgKjITAaAiMtBEYXnNEuxkGnY+3fvx98ktaGDRsYODk5Gfz9/RlAC82cnZ2H7Ek2J06cYAgICGAQExNj2LRpEwPyoifQwiFvb28G0JVvx48fHxA/VldXM3R3dzOATnXCFrugxR+lpaUMLS0t2KTpJga6lvPMmTMMFy9eZBAXF4fbC1rYAjoJr6qqiiEyMhKcfri4uODyQ4kBWsQKOkkOtBARtCjH0dERfO0laAIblB+Gkl9oCT5//sxw8uRJBthJk6DFZB8/fmTg4+MDLz4ELdYELcID0aPhRt2YeP/+PfgkMlBaBS0iA51IBjpRDxQnIJsEBQUZkK+zBC0oAy3wExUVBUmP4tEQGA2B0RAYNiEAqptBnlm9ejWIGsWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaApSD0cVllIfhqAmjIUD9EBhdXEb9MB01cTQERkNgNARGQ2BkhgBoUh204AU02Q7DsBPOYBPtsIUOoCvYQdeyjcyQIt7X7969A18FOH36dIYLFy4waGhoMICuZYyPj2eQkJAg3qBBohJ0MhhoodyjR48Y1q5dy2BnZwc+5Qd0Ctf379/BJ8SCTm8DnUxFbyeDTo4DLQbBZy/oOjvQSUP41NBSDhRmISEh4KtFQWF28OBBBtD1tqC8B0oXoEV7oMVv5eXltHQGTcwGnci2bNkyhjlz5jCArvUExQVoQSXIX8iL6Ghi+RAxFPmKS9DpZOfPn2cAXdcKukIXtIAMdHokqIw1MjIakAWaQyQYSXImbBEZbAEZiAbVc6DTJUEGweo20OIxUJoF0aBTyUCLaEHyo3g0BEZDYDQEhnsIjC4uG+4xPOq/0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BAQCji8sGINBHrRwNAYIhMLq4jGAQjSoYDYHREBgNgdEQGA0BskMAtOgFNBEPW2wGomELzkCLy0CLIWAYdGrVUFwwRXbgkKgRFHag6wGXLl3K8OHDBwbQaU5paWngU81Ap2oRaxzoJKhXr14xKCoqEquFqupAp97FxMQwgE4r6+vrYwCdtgVaNAM6MQzULgMt1rh37x7WqzOp6hAshoGupwOlTyxS4IV9oAVo2OToIfbp0ycGVVVVhjdv3oAXFIGuOszIyGDIzc1lCAwMBF+lCjqNF5Qu6OEeZDtAp6aBruoEXRuKLE6IDVpQuGXLFvApa3v37mUAxT1o8Vx6ejoDaIEUIf3DWR4UNqAT6kAn/h07dowBdKLfy5cvGTg4OBhAi3NBi8lA2NLSkkFERGQ4BwVd/Pb06VMGUP4GnUAGw6CFZKCyFuQA0AJH0MJS2AIy0CIyEAalWZD8KB4NgdEQGA2BkRoCo4vLRmrMj/p7NARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOAhmA1Cw0NHzV6NARGQ2A0BEZDYDQERkNgNARGQ2A0BAZdCPDy8jKATtIBYZjjQItkQNeHgRZLgTDoGp2mpibwqVWjC85goYRJwxbhgRZjgU6oAi00A11/CLoCDzSxB1poZGhoiKkRTQR0+lVRURHDxo0bGUCLU9Ckac7l4eEBn1pWUlLCkJ2dzQBaJPXnzx+wvaBFSqAFic3NzQw9PT1gMXoSoJOy6uvrMa7GBJ0OBjotjp5uQbcLdBoZ6CQ70ElVIDlQmE2ZMgV80hdoIdbu3bsZSF3cBTKHUgxarBgdHQ2+vnX58uUEjQO5H7RYavHixQygk8pAiwpdXV0ZQAvjQNemgsKaoCHDUMH9+/cZQAvIQIvJQDRoUS4obEBlooWFBQPoSlYrKysGUDlAymLSYRhUFHkJtJAVtGgMtIAMRIMWsoLqI9CCW5DBoMVioAVkoIVkYWFhDKAFZCD26MJnUOiM4tEQGA2B0RAYDYHREBgNgdEQGA2B0RAYBaMhMBoCoyEwGgKjITAaAqMhMBoC9ACM/0GzJWTaBJowAmkFTb6B6FE8GgKjIUCdEACdkAGazAJNHuAzcdWqVQzh4eHgiW986kblRkNgNARGQ2A0BEZDYDQESA8B9AVnoEVnoFNkQM1n0OIK0IIKGAZdBwg6RYZ0W4afDtBpO0uWLGGYPXs2w927dxlAiyJAC6SSk5NxnmZka2vLALpSj5mZmWHevHkMA3EFJSgmUlJSGObPnw8+hQvER8Ygt4Gu/NPV1UUWpjn74cOH4BPdQOkO2TJQexEUvgN12tvJkycZQCdUobsL5EYmJiaGI0eOgOVBfHpi0PWmXl5e4KtNQYvCQAt0+Pn5sToBpBa0+GzWrFkMoAU9sLSalJTEICoqilXPcBUELRoDLWgCxRuorDt06BADKO2BFlqqqamBF+SCFn6CyjzQ4qbhGg608tePHz8YQCcQ3rx5E5w2QXUJiH/r1i2Gnz9/gq2Vk5MDn0YIOq0QhEFXDoPCevQUOHDwjBKjITAaAqMhQHQIjI5XEx1UowpHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ4BYMHotJrEhNapuNAToGQKgycLRxWX0DPFRu0ZDYDQERkNgNARGQ4C4ECBlwZm5uTmDmJgYcQYPU1WgRSqghTuw06D8/PzAC8c8PT3Bp4OBvA06HUlZWRllsXxeXh5Df38/A2iREkgNPXBnZydDZWUlijuQ7QUtVAItpjp48CCyMF3YoMWLoOsIYQu5QG1F0JWtoAVedHEAmiW/fv1iAC2yAy3IAp1WhiYNjlvQ4izQSVcgGl2eVnzQCVu+vr4MHz9+BJ/0BloQOGPGDAbQokGYnSA50Al5oFPKQNdeghaKgq69TExMZDAwMIApG/Y06LQsUP4ELeoELSgDpS/QIifQaVigKy5Bi8hApzuCFpRxcnIO+/CglgdB6evOnTvgxYqwk8hANGhR2d+/f8F5A7SITElJCbzwFrR4DLSoUV9fnwF0qia13DFqzmgIjIbAaAiM5BAYXVw2kmN/1O+jITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgI0AqPXYtIoYEeNHQ2B0RAYDYHREBgNgdEQGA2B0RAYhiEAuu4RtOAChGHeAy0muHz5MgNooQYIg071xXWl5khbcAZaoDJz5kyG7u5uhg0bNjCAFvT4+/uDr0qMiYkBL/oBXaUJOh0JdHISLExBVyuCTpVaunQpAxcXF0yYZjTIbfgWloEsBrkPdJoT6ORYQqfLgtRTE4NOfgOdmgZbyAVaNAUSo6YdpJgFWogHOjUNtFgGmz6QO9+8ecMAmtzds2cPeEENNnXUFFuxYgUD6JpQkJtAGGQ2aDHenDlzGEAnke3bt48BlNbWrVvHAHIfaKEjaJEZ8kJHkJ7hiEFpl9CpZGlpaeDrLUGLnYZjGFDbT48fP2YALRgDnT4GusoSxAbRL168AFsFKrdAJ4+pq6szREVFwU8kU1FRYRi9QhQcRKPEaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAEAKj12IOocgaderICQHQaRSjJ5eNnPge9eloCIyGwGgIjIbA8AsB9AVnoEVnoGvQQItdQCclgRZdwbCFhcWIuoIPFA4LFiwALzQDLcRgZ2dnAF0Zh54KQCeFga7j2759O4OsrCy6NNX4Hz58YNDR0WEAXecJWrQFW5iEzQLQSWqg0+hAJxNxc3NjU0ITsdevXzOA0g3MbSB3gtw7EFexgq7xA4UXaMESMZ4tKytjAC1GI0YtOWpAeaqhoYGhubkZrB3EBzOQCFCcgcLQysoKvAANtDgQ11WZSNqGLHP0VDLqRB3ohL4nT54wgE4eAy0cA53UB2KDFup9/vwZbImAgAAD6ORF0OljoIV5sBPJQNdagsoLsKJRYjQERkNgNARGQ4CuIQBa3A6yELThA0SP4tEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BisHoyWUUB+GoAaMhMBoCoyEwGgKjITAaAqMhMBoCoyGAFgKghSug081AGCYFWsR05coVlBPOGhsbwdKghUOwxWYgGnT9ooiICFhuuBGgRRegxUatra0MHR0dDLW1tVi9CFq8BDoNCBQe27ZtYwBd1YdVIYWCoMUhoFO4du3axQBa9AY6zQq00B90uhW60f/+/WMAncjV1tbGAHI/ujyt+KCrJe3t7RlAV3KCFk85ODgwDMTCMpDdyFdMYvMv6BQ60CI40FWKwcHBDE5OTtiUUUXsy5cv4FOhQOkD5DZshoLiEnR6FOjqR1VVVWxKhrQYKJ+AFjuB/AdaxAo6Xe/hw4fg0+JAizNBZdDoqWT4oxh0Chlo0SSovAGdRAaiQRh0eiIoXYHStIKCAvj0MdBiYNAJeaA0BSrLQHkTv+mjsqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMPQBy9D3wqgPRkNgNARGQ2A0BEZDYDQERkNgNARGQ2DwhwBoERNooQcIw1w7khecgRZsgE4BAp1QBlogAwsTZBq0wOvdu3cMtra2DMuWLWMIDAxElqYaG3R6mq+vLwMIg059Ap10MWPGDAbQQhN094Hc1NXVxQC6lhK0wIRqjiBgUGxsLMOBAwfAqkBXioIZdCbmz5/PAFrEBFpwg2w16CQ1kBiIdnFxYYiIiGAALSyj5eluoBOlvLy8GEAn4YEWsyG7B5kNchdo8SDodClk8aHIBvkFtOjp5MmTDKdOnWI4ceIEA2hhGShNghaoghY+5eTkMIBo0KJM0AK/oehPWriZlFPIQKePJSQkMMBOIgMtIgNdc0kLd42aORoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCQwGMXos5FGJp1I0jLgRAJyyMXos54qJ91MOjITAaAqMhMBoCoyEADoH379+Dr2E7evQoeCEP6DSi58+fg+VAC0hAi0ZgGHTNn7CwMFhuqBGgq0NB1xWCFn0QcjuobQRSU1dXxwC6AhHEpgcGhf3ChQsZQBh0DR7omjvQQibQwjjQSWJ79uyhhzPAdnz69Al8fSpogRHoikfQ6XhgCToRoBPbQCd/geIN5AZQnIDCA8Q2MzNjSExMBC8q4+Pjo7mLjh07xuDn58cAChNcCxPRHbFv3z4GR0dHdOFBzQfFM2whGYwGLUjl4OBgMDQ0ZACFu7m5OQOoHJCXlx/UfqEHAOVN0Kltt2/fZgBdXQtaiAfD2E4h09DQYACd7gZaJApig8ojerhz1I7REBgNgdEQGA0B2obA6LWYtA3fUdNHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGJBi9FnNERvuop0dDYDQERkNgNARGQ2A0BEZDYDQEBm0ICAoKMoBONwPh8vJysDtBp2mBFjrB8MyZMxlevHgBlkNfcGZtbc0gJCQElhvMBOgkMmIXBoEWMIH80tTUxHD//n2G2bNnM7CxsYGEaIphi/hA13euXbsWbC/o5C7QSVF79+5l2LRpE3iRE00dATUctGgLdFIXiEvvhWUgO3NzcxlAC5tAC8pAfNDVraDT1EATuPRc4Ai6uhR0zSPoilLQYiKQWwhh0GJAkL7BvLgMlKZAC6GQF5WCTmUDpX1QHgeVB6CFlaA0CboiFrTAjJC/h6M8KN5B11jCFpCBaBAGXWsJKhtgi1VBaRK0GBK0aAwU76BFZCC2iooKXcqO4Rj2o34aDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYuWD05LKRG/ejPh/EIQA6CWL05LJBHEGjThsNgdEQGA2B0RAYDYFBEALoC87OnDmDc8EZaGEKaNHaIHA23AmgE5dAV/vBBUhg2NnZMYAWe4mIiJCgizpKHzx4AD7JbM6cOeBFKqCrPem10AfkZ1A7MSgoiDqeIdKUnTt3Mnh4eDAYGBgwgBaUhYeHM0hLSxOpmzrKQAvJKioqGHp6esAGghaMgRZegcTBAgQI0BWdoAWZPDw8BFTSRxqUf5EXkoEWjv748YMBtIhQV1cXvMAUtFAUdMWlqKgofRw1iGwBneB479498CmO165dYwCxQRh0Ve3Xr1/BLgVdNQy67hR0jSUyBl1nCVqQB1Y0SoyGwGgIjIbAaAiMuBAALXwHeRp0zTmIHsWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAhSD1aOLyygOw8FjAOjkh5cvXzKAMGgwHnSyAOjaGhgN2sUNEoe5GDR58f37dxgXPJHBzMwM5oNOggBNwIAmX0AnI4AG7mE0aGISNFg/EJN5YMeNAAI0aTi6uGwERPSoF0dDYDQERkNgNARGQ4DKIQBasAJapALDp0+fBrcNQdaA2m+gU49AC81Ai1ZA1+qB2nsguYHAyG1RUHsVtFDo58+fDN++fQM7B9SOBZ1ShE3s5s1fDMeOSTDIyISA1Q4M8Z/h9esDDCwsfAyCgsZ0ccLfvz/A9jAzc4BpehGPHi1hEBKyYODhUaGXlRj2eHmdYXj1ai8DFxcXAzs7O1getBkreaYAANszSURBVMCMl5cXzAYRoD4LqB0NYmNTB1oQB9MLUkMvDLq+89KlSwywxWSgKy5BV16C3A86UQs5X2ppaTHA/EAv9w2UPaC+KWjBGAiDFmnCFpGBTiEDXUMLchcovkDxBgoX0KIx5EVkioqKIyasQGExikdDYDQERkNgNASIC4HRxWXEhdOoqtEQGA2B0RAYDYFRMBoCoyEwGgKjITAaAqMhMBoCoyFAAhi9FpOEwBpwpaDFYaCBd9B1KaCrP+7cucPw9OlTMH7+/Dl44hA0KYfsUNBkC2xRGGhgHrQTHn0BGUz9w4cPYUwG0KIz0IQfaFAfNLEHmvADTezBFTAwgCd1QJOUoMF+KSkpBjk5OQbQ1SMgDJokkZGRQVY+yh4NgdEQGA2B0RAYDYHREBgNgdEQoHEIgNpkIOzr6wu3CX3BWV9fHwPoBChQm1BdXZ0BtLAFhum54Ax02hcIgxwK2rwAoonFq1YxMPT1MTCEDOTaMgZGBlFRR2KdTBV19F5UBnO0nFwMjDkg9Jo1DAyhoSYM5eUmA2I/KZbCrrcELfCELSYDnbYFWigJ6juB8lpxcTEDaIEniM3JyUmK8UNOLfICMlBfFraIDNSfBS26A3kItLEJ1HcELRwDhQvo2lMQG4RHF5CBQmgUj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAwAKWgbV+1HZcIXD//n2G8+fPM1y4cAFMg3ZxgxZ/wa59kZWVZVBRUWEADcKDdnCDJhFBi7xAExbi4uIMoAk60M59JiYmXFaQLA5abAZaaPbu3TsG0GI20MI20GQlCIPYhw4dYgBdDwRSAzIcdFoAaJEZ6FoX0EQl6BodEA1yF0h+FI+GwGgIjIbAaAiMhsBoCIyGwGgI0D4EQO1EEMa34KytrY3h1atXDNgWnBkZGYFPi6KFS48fP85gaWlJttGrV5OtdVTjEAoBRkbyHQvaLAPacEO+Cbh1gjb2gBZJgU4IBGHQNa+gPhyo3wTq85iZmTEEBwczgGjQNbDD9XpL9AVkoEVkIHzlyhX4Vb3IC8hAi+pA16uC+rGgBWQKCgoM1Oy34o6xUZnREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAXLA6OIyckKNynpAp4SBrkY5ePAgw+HDhxlAu9xBJ4WBBthBp4CBFmQlJyeDTwUDLdYCiYEWblHZGQSNA50sAcKgxWuampo41YMmJkFXmcAwaIFcR0cHeMISpAm0+xw0uWJnZ8cAwqArTkbK1S8g/4/i0RAYDYHREBgNgdEQGA2B0RAY6BAALTYDYXwLzlpbWxlAV/fRasEZaGGOh4cHg56eHsP06dMZdHR0BjpYRu0fRiEAOkFsypQpDO3t7QxPnjxhYGVlpdh3oE01oEVkMAxaTAbqt4HM1tfXBy8iS09PZwD1dUCnAg6nPg5owdzdu3cZQJueQAvH0DEocEHhANoEBVowBsIuLi4MoL4eaBGZvLw8ePEqSN0oHg2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYWmB0cdkAxBfoSpQzZ84wbNmyhWH//v0MoMkJ0JWToAF3e3t7hsDAQAbQgjLQRBsPD88AuJAyK8XExBhA2MbGBsUg0GTMuXPnwCexHTt2jKG8vJwBdJIAaAe/ra0tg6urK4O3tzcDaEICReMoZxSMhsBoCIyGwGgIjIbAaAiMhgDNQwC02AyE8S04a2lpYXjz5g0DCwsLA2jTA+gEImRMyhV/oIUqoGvxQO1C0MKcnJwchsbGRgbQiU809+yoBcM6BEAnKoMWed28eZMBtIjx8uXLDKAT+EjxNKifcvHiRfDGH9DmHxAGLawCmQE6LRrU12loaIBfK0tK2geZMRgxqL8GWjQGypsgGobv3LkD3ygEWkAGOmkMtOEJtGgsICAAvAkKxJeTkxtdQDYYI3bUTaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQCEYXVxGYQASqx10OtmOHTsYtm7dCl5U9vLlSwbQYjLQbu60tDTwCV4gPrHmDUV1oMlKEPbx8QE7H3SaAOjaGNBpbQcOHGAoKSlhyMzMBC+sAy0y8/PzYzA1NQWrHSVGQ2A0BEZDYDQERkNgNARGQ2A0BOgfAqC2GwjTYsEZaLMF6GQn0MYLkM+mTZvGsHDhQvACs9zc3NFr8kCBMopJCoHnz58zlJaWMixbtgycfkALy0ALIUFpDd/ist+/fzOATl0GLSA7evQow5EjRxhu3LjBAEqboIVkoAWUoaGh4IVkVlZWDMLCwiS5a7AoBp0+Blswhr6ADCQOkge5FXRaNei0adDpYyC/h4eHwxeQgRaWgcIUpG4Uj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMDDC6uIyG8QyajACdxLB48WKGFStWMHz58gW8cCojI4MBNEEHmuAATajR0AmD2mjQpARo8RgIFxUVMYAWm504cQK8+G7VqlUMoJMxQLvfIyMjGVJSUhhUVFQGtX9GHTcaAqMhMBoCoyEwGgKjITAaAiMhBECLzUAY1J6F+Rd04hFoYQ4MNzc3M7x9+xbrCWcmJiYMoMUrILWgU5B+/foFNgbUFvz48SNDYWEhw/z58xlmzJjBYGFhAZYbJUZDAF8IgNLO1KlTGaqqqhhAC8VAi8r+/v0L1wJaXAba0AMTAC2kAi0gA6VBGAYtrOLj42PQ1dVlAG0AAp2yDDpdGbTICqZvKNDv379nAPkPG37w4AF4wRzIH4KCggygxWMgDMrLIBqGQZueQNfhgtSN4tEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BUTC6uIwGaeDFixcM06dPZ1iwYAHDo0ePGEATaKAJtoiICPB1kTSwclgYCVpsBrpeBoQ7OjoYQFdoghbmgU6w6OrqYrC2tmYAXW8TFhbGwMbGNiz8POqJ0RAYDYHREBgNgdEQGA2B0RAYDiEAWmwGwqBFKiD/gDZZ3L59G3ylIGhhD2gBz4YNG8BXooPacaDr3588ecIAW1gG0gPDoIVBV69eZQCdEBUdHc3Q29s72oaGBc4ojRECBw8eBPcRQOkNlO7QFYAWnm3fvp2hrKyM4dSpU+A+BujKS9A1loaGhuCTkkGnJ5uZmYE3swz2zT+gPAPKO9gWj4FOXwP5DRQGoIWbsrKy8AVkoAVzsMVjoCssQQvpQOpG8SgYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHRECAERheXEQohEuRBi6EmTpwIPqVMQECAISkpiSE2NpZBS0uLBFNGlcJCAHSyGwh3d3cz7N69G3xNEihMQRND2dnZDKDTB0RFRWHKR+nREBgNgdEQGA2B0RAYDYHREBgNgUESAkxMTAzq6upgHBUVBXYVaOEPaPELbLHZ5MmTweLYCNCCIJD4ypUrGTZu3MgA2qiRk5PDMHqaEihURjEoBNCvwASlL5A4Nvz06VPw6cigTT+BgYHg6y1Bpyezs7NjUz7gYvhOH3v48CED7FQ25NPHQIvHQP0j2AKy0dPHBjwaRx0wGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgLDBowuLqNCVIJOYgBdwbJr1y4G0CkMoFPLQKcsDNbJCip4ma5GgE408/T0ZABh0C79KVOmMPT19TG0trYyZGVlMVRWVjIICwvT1U2jlo2GwGgIjIbAaAiMhsBoCIyGwGgIkBYCoAVnGhoaDCAMOiVqwoQJBA0AXXEIwqAr1GfPng2+KhN0yi1BjaMKhm0IgNLDtGnTwFdgghYhgk66gy22wuVpkJp58+YNmmtWf/78yQC6ovL+/fvgKyzv3r0LpmGnkX358gXsFdApf6BFYqAFY6DTxtzd3cEnkSkrK4NpXl5esLpRYjQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARoCUYXl1EQunfu3GGora1lAJ2oYG5uDj5dC7RjnAIjR7USCAEZGRkG0JWZoHCfM2cOeIHZ3Llzwdfc5OfnM3BxcREwYVR6NARGQ2A0BEZDYDQERkNgNARGQ2CgQwB04i9osRm+06aQ3QhSB7oq087OjiEmJobB2rqTgYFBElnJKHsEhMDevXsZMjIyGED9MFK8CzrxDnRinoWFBSnayFaLfHXls2fPGECnrMEWjoFoXKePgTbTgBaSwbCcnBwDaKMN2Q4Z1TgaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqNgNARGQ2A0BEZDYDQERkNgNASoAEYXl5ERiKAd8r29vQz19fUMCgoK4MVlISEhDIyMjGSYNqqFnBDg5uZmAC0mS0lJYQCdZNbW1sYwc+ZMBtCJFq6uruQYOapnNARGQ2A0BEZDYDQERkNgNARGQ4BOIQA6+Re04Ae0aAzZStCCM5A4qL0NOm0KJMfPzw8+pQl01Tzo9CbQqU0vXrwZXVwGCpwRhB88uMCwZctCBiEhITB+9+4d3PegE75A6QV0qhlcEIkBkjt16hSSCGXMHz9+MIAWiIFOH4PRMDboNDLQYjKYDaD0C+ozgk4gA6Vhb29vBhAbJAZaRAaSh6kdpUdDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgMILRxWUkxsr58+cZEhMTGW7fvs0AWtCUl5c3upucxDCkpnLQIrPy8nKG+Ph4hpycHAbQVTHJyckMPT09DKMTNdQM6VGzRkNgNARGQ2A0BEZDYDQERkOAeiFw+vRpBthCINAGDVFRUQbQwjHQlZkqKioMoAVkIAxi8/HxYVi8ahWG0KjAMA8BBQUDhrKyRXBffvv2jQF2nSSIvnDhAsO+ffsYnj59ClcDY4AWlx0/fhzGJUgTOnkMtJAMtjCSg4ODQUpKCrwAUkdHh8HPzw/MBi0ck5SUBMsRtHBUwWgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMYjC6uIyEyAFdv5iVlcVgamrKALrKR11dnQTdo0ppGQISEhIMa9asYdi8eTP4qhzQxNKmTZsYtLW1aWntqNmjITAaAqMhMBoCoyEwGgKjITAaAmSEAOhqy6KiIvgiMtACHTKMGdUygkOAi4uLQVdXlwF02t3q1asZVqxYAWZjCxIREREGExMT8IJGVlZWBnIXj4EWjLm4uIwuHsMWyKNioyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgLDFowuLiMiav/+/ctQWlrKMGHCBIba2lrwdZigSQwitI4qoXMI+Pr6MpibmzMEBQUxWFtbMyxfvpzB09OTzq4YtW4UjIbAaAiMhsBoCIyGwGgIjIYAvhAAXW2OT35UbjQECIXA5cuXGTo7O8HtfdBVqqA+Gwhj0/flyxcG0Al59vb2DKBTx5CvrRQQEGAAXVEJuqoStDHFx8cHzgeJg+SxmTkqNhoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjBYwuLiMQ06AJiqioKPCJWKCFSuHh4QR0jEoPdAiIiYkx7N27F3yCGWix2ZIlSxgiIiIG2lmj9o+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAhQGAIXL15kaGxsZNiwYQMDCwsLA+h6ShDGZ+z3798ZQAvMzMzMGED9OdCiMRAGLSgbXTyGL+RG5UZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERgEDw+jiMgKpICcnB7ywbPv27Qygne4ElI9KD5IQYGdnZ5g/fz6DkJAQQ3x8PJh2c3MbJK4bdcZoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYAKSFw8+ZRBk/PFoYdO3bAtf3+/RvOJsQAnXKmqalJSNmo/GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgAaYELjj3KRQqCjo4Nhzpw5DCtWrBhdWIYULkOJ2dPTAz61LDg4mOHKlStDyemjbh0NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RCAhoCMjDZDfn4+Q11dHYOzszMDNzc3WAZ0ehkrKyuYjY94+PAhPulRudEQGAWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAjjA6MllOALm+vXrDA0NDQygHe5+fn44VI0KD/YQYGRkBC8QvHXrFkNKSgrD0aNHGZiZmQe7s0fdNxoCoyEwGgKjITAaAqMhMBoCoyFAoxAALTJatGgRw+3btxm+fv3KoKioyAA64RaEybFy1qxZDDIyMgxeXl7kaCdaz/HjxxmuXbvG4OPjwyAuLk60vuGikJtbgMHDwwOMQX4CXYUJCo8TJ04wHDt2jOHIkSMMd+7cYfj//z8D6BTjX79+gdkgtaAFaI8ePQIxR/FoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYAiWD05DIsAQaakEhNTWXQ19cH747HomRUaAiFAOgkA9AJdOfPn2eYMmXKEHL5qFNHQ2A0BEZDYDQERkNgNARGQ2A0BKgZAnPnzmXQ0NAAn361c+dO8MaD3t5eBnd3dwYrKyuGT58+kWxdVVUV+Dp2kjWSqGHZsmXgzRKgRXEkah00ykGLwFpaWhhevnxJsZuYmJgYdHR0wGEyb948BtBmkrdv3zJs27aNoby8nMHBwYGBi4sLbM+fP38YHj9+DGaPEqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKkgdHFZVjC6+DBg+CJpmnTpg3JU64+fvzIUFBQwPD9+3eGN2/egNk/f/7E4tORI6StrQ0Oh66uLoa/f/+OHI+P+nQ0BEZDYDQERkNgNARGQ2A0BEZDABwCV69eZcjKymJQVVUFn1oGWuD04sULcHs5KSmJAXQyGIgGKx4laBIChw8fZqitrWV4/vw5TcwXFBRk8PT0ZGhsbGTYt28fw+fPnxkuX77MADpdTlNTkyZ2jho6GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAKRkNgNARGQ2A0BEZDYDQEhjsYXVyGJYbnz5/PYG5uzmBsbIxFdvALffnyhWHixIkMoAVlIHz27FkG0LUxg9/ltHVhRkYGA2gCEXRKBW1tGjV9NARGQ2A0BEZDYDQERkNgNARGQ2CwhcCGDRsYQFclghY3qaiowJ0nLCwMvkZdTk6OYevWrQygU67gkqMMlBAYan0K2OlmoFOpo6KiUPwyyhkNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAgDowuLkMLp9+/fzOsXbuWIT4+Hk2Gci5oMubJkydYDQJdxfnw4UPwaWNYFeARBE2S4brCR1pamgF0QgAnJyeKCaDTuz58+IAiBuOATjyDsUmhQRNxyHpBC9u+fv2K1QjQlTUgP2OTxOcfbOqJFVNUVGSws7NjWLFiBbFaRtWNhsBoCIyGwGgIjIbAaAiMhsBoCAyTEIBdiwi6FhPdS4yMjAyg6zHz8vJQrsY8cOAAQ3Z2NoOamhqDrKwsQ2RkJMOMGTOwnoQL2sBgbW3NwM3NzQA6JaupqQlloRrI7OTkZAZQfwBkpqioKNwZoHY56FQ10DWPEhISDEFBQeDrHeEKSGQQcnddXR2Dra0tw7179zBMBvWDQNeEgtr2IMnr168zeHl5MYDcy83NzWBqagruL4HkYDguLo4hJiYGxoXTHR0dYHtAZqWlpYHDDiQJOiEOFB4g9igeDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGNxgdHEZWvzcvHmTAbQgysbGBk2GMi7opATQhAxoogk0MQWavIKZCDohQVxcHHxamoCAAEN+fj54wgo0kcPBwQE+gQym1sfHh2HSpEkMJ0+eBF/pU1JSwiAjI8MgJCTEEBERgbE47f79+wwgM0Gnmd29e5eBj4+PYcqUKeDJIdApDaBJJdjCtE2bNjFISkqC1Ts5OTGAJn1A10jC7MZGg8wEubG7uxusF2RmRUUFQ3V1NQPoWhp+fn6G3NxcuFbQpBtoQk9dXZ0B5OeioiKwHLH+ASumgABN+J07d44CE0a1jobAaAiMhsBoCIyGwGgIjIbAaAgMxRAwMjICOzsxMZEBtPgKtOAJLAAlQkJCGDo7O8HtapDQ/v37GVxcXMAbE0CLrVJSUhhAC9QyMzMZKisrQUrg+MiRIwy+vr4MoNPPQO1zUNu8vr4eZcHVpUuXGI4ePcrg7e3NMG3aNLBakAGgxWaGhoYMixYtAm+EALnvwYMHYPMmTJgAUkISJsbdoPY4yM2rV69GMRu02QXkDlA7noWFhQGkBrSYDNQvSU9PZ6ipqWFgZmZmAIVVc3MzXC/opGQQhgtAGbdv3wabAdpkA1qgB+prgKRAbOTT40Bio3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgcILRxWVo8QK6NhEkBDrxC0RTA4MmoUDXsEydOpXh8+fP4Gt3SktLwScFPH36lCE0NJRh3rx54CsbQYvBNm/ezABSCzrZC3T6F7IbQKd6gU4dA02G3blzh+HHjx/g0w8ePXrEcOrUKYaenh5k5eDrMD9+/AgXA9kPOskM5CbQgi7QhA9oURmID1qcBtL//v178EI10PWgoEVpcM04GCA3Xr58mQE06QQ6yQE0KQfigybFtm/fDl7M9ubNG7DuqqoqhsbGRobXr18zXLhwARwWoMVexPoHbAgFBGgh3vPnzykwYVTrKBgNgdEQGA2B0RAYDYHREBgNgaEYAqBFW56engygRVCOjo4MoE0RoIVebW1tDKD2KLqfli9fzgBaYAXaTDF58mQG0GKxPXv2gDdUgNrryOpBfYhly5YxgPSA2rqHDh0CL0xbuXIlw4kTJ+BKQRtZQAusQO1mkDtAEqCNGaB28969e8GLztrb28F6HBwcGMrLyxnevXsHUkY0BrmBkLv9/f0ZeHh4GNasWYNiLugEZ5AA6BQyUF8EtOmFnZ0dvCiupaUFvIEE1JcAbUQB8W/dugVSThQGLboD2QtSDPLz6MlloJAYxaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEw+MHo4jK0OAJdiYMmRDF31apV4Gt0QIu3QIaBTj4ATeSwsrKCT0IAneAFOpEMJCclJQW+bmf9+vUgLkHc0NDAwMbGxgDSB7pKZ8uWLQT1gE4jA11pY2JiwmBlZcVw48YNBtCpBbq6ugzR0dEMXFxcDKBra0CnixE0DKoANIkmIiICPmEBJARyi5iYGIOrqysDyJ+giSfQiQWgSbewsDDw4jKQGGiyCmQ/SA8Ik+MfkD5iMWiSjIlpNNkTG16j6kZDYDQERkNgNARGQ2A0BEZDYLiEAKhNCjoxGIRBp5CB2q7btm0DL5gyNjYGX/cIOtEM5l/QCbunT58Gn+oLEwNt9ACdCgw7+RcmDjp5DHSaF4wPOt0L1OYF8UGLxkA0DINO/AKdHAbigxaOgdrHoNPBzM3NQUJgDGrfp6amMoDsW7duHViMWIIYd4P6AoGBgQxnzpxhAC1sg5kN6hOAwgXUXwEtuANh0EIyUF8DpgYUjgkJCWC37d69GyY8So+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMU8AyTP1FtrckJCTAekEnioGuswFzKCRAEzag6zCRjQkKCgJzQXLIE0kgQQUFBQbYqQEgPjL+/fs3nAu6chI0+QMTAJ3KBTshDCaGjQYt+oKJc3JygieGQFfgKCsrw4TBtIWFBZgmhoCFG+iUBJB6VVVVEAXGoAV7oNPWQIu6Nm7cCD6VDcTW19cHX6sDVsTAwECuf2D6iaFB8QpazEeM2lE1oyEwGgKjITAaAqMhMBoCoyEwGgLDKwRA7VIvLy8GEAb57OXLlwygU8hAV0GCroAEnawFOl1XUVGRAbQA7O3btwyg6+yPHz8OXoQFOvUXtLAMebEVyBz0tj5IDLQoC0SDTiYG0SAsKioKXsQGYoMw6CQz0OYH0GnB4eHhICE4BtkD4oBOTgPRxGJi3Q06nWzx4sXg08tAp4qBTjIGnWwM2iQCWkAG8ivITnt7exCFgmFXjII2i6BIjHJGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhh0YPcIJLUpBp3WBdvKDrntBkyKbC1oABrrCEtkA0LWXT548YQDJIZ/cBVIDmtCSk5NjAE1+gfighVkgGoSRJ5dAV1x+//4dJAzGoCt3lJSUwGx8BGhhF0weNJkFYoMmukDX84DYMIxsF0wMF41sJroamB2gkw9qa2vBE3igSbYNGzYwgMIapp5c/8D0E0ODJg1BJ1MQo3ZUzWgIjIbAaAiMhsBoCIyGwGgIjIbA8AgB0AYN0AlgoJPIkH0E2nQAOsUMdI0l6JRh0IIu0MlmIDXd3d0MoM0boJPGQPpdXFwYFixYwGBtbQ2SRsGgE3pRBBgYwFdqgsRgmy9AbNCpvSAahkGL10BskDhoQRcyBl3bCTpVWFtbG6SEaEysu52dnRlAG0RAJyqDDAfRoHY7yE4QH7ZpBbTxBcRHxj9//gRzQSe0gRk4CNDJbDikRoVHQ2A0BEbBaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMETC6uAwtokCTP6ArbRYuXIgmQz4XdAICaOEW6NQukCmgKy9BJyCAJnO8vb0ZLl++DF5wBZIDTcCAJrRAk1ugExNA7gFdqwmSA11TAzpRAMQGYdAk1syZM0FMBtCpAZs2bWIAXWEDFiCRcHNzY7h06RID6FpN0KQSaPLt2LFjJJqCXznodDRBQUEG0AI+kEpQONy7d48BZB+IT03/gMxDx6AFbbCJQ3S5Uf5oCIyGwGgIjIbAaAiMhsBoCIyGwPANAVCbOj4+niE2NhanJ0EneYEkX716Bb7CvaKiAnyyLqj9DWrHd3R0MICukvzx4wdIGQpG3ywCkgRtagDR+DZ/wORAp/4uWbKEARmD+iNTpkxhgF2vCTKLEH79+jUDse4GLQwD9TlOnTrFAPIjqK8BOsnY0tISbA2oLwJiYNt0AzrJDSQHcz9oUwyoLQ8SQ8agk9mQ+aPs0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgaEHRheXYYmzxMREBtAky9mzZ7HIki5kYGDAMGHCBIbQ0FDw6QBVVVUM/f394NMMTExMGDo7OxlA12SqqKgwgCZxPDw8GOLi4hg4ODgYiouLGZKSkhhAJ4vNmzcPZfEY6NSvXbt2McjLyzOA7ABNBBUWFpLuQAYGBjMzM4ZJkyaBJ9xAC8BAbNCCM5AbyDIQiyZfX1/w9UKysrJgf4ImsNLS0hhKS0vBE3jU9A8W6xmmT5/OALrCCOQvbPKjYqMhMBoCoyEwGgKjITAaAqMhMBoCwzMEQIufQO1u0GInbIulQL4+ePAgiGIAnXIL2hQBWiwFaqPz8vKCxUEEaBEW6JRhEBsZX7t2jQGEkcX2798PPonY09MTWRiFDWr/g9r5O3fuZACdjoYs2d7ezgBql4P6Jcji+Nikuhu0oA600QPUVwGdgoy8+M7Q0JCBjY2NYffu3RhWHjhwAHy9PWxjC+h0swcPHqD44erVqwzopzdjGDQqMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITDoAcugd+EAONDOzo7BxsaGISMjgwE0yQLa1U+pM3JzcxlAV+68fPmSATT5gmxeSUkJWO727dsMoN3/oCtwYPKgExIqKyvBEzWgKzRh4kePHgUvTtu2bRv4pAEeHh7w5BNIXlpaGn4amICAAJwNUgOaPAKpgeFly5aBmV++fGEAnbCWlZXFALrmBrSoDLQIi9A1PKDTDZDNBE2+IfNBhv/69QtEgTFoIgo08QRyFwiDBOvr6xlAJ5iBTpTA5h+QGkrxlStXGCZOnMjQ09MDngij1LxR/aMhMBoCoyEwGgKjITAaAqMhMBoCQysEQJsnTE1NGVxdXcGne1lYWDBISkoygK6CB53au3TpUgaQPOj6S9DCMlDbeeXKlQygxWEaGhoMoPY36Ip3Pj4+BlDbGbRQDXYiL2jxGuhUs+rqagYtLS2G7du3M4A2hgQHBzPo6uriDCjQ4i3QIjJQPwG00Ku8vJwBZD7opLSWlhawW9Gv4QS1Z0EnnGEzFLRphRR3gxbSgfwGWlwGMg+0wQVEgzBoU0ZOTg5DX18fA6iPAMKgaztB/QfQFZqgk+BAJ66B1JqbmzOATl9OSEhgSE1NBS8qA7mFn5+fAXa9JkgdaFMMiJ41axYDaEMPKLxB/FE8GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqNgNARGQ2A0BEZDYDQERkNg8ILRxWVY4gY0OTR79mzwaWCgyRTQyVpYlJEsxMnJibGwDGYIaKEVrskV0KQMTB02GnQSGDZxUsS+fv3KoKenxzB37lzwwjrQqWLnz59nAE0Uga7LwWVWcnIyeNILlzw2cfTFdaCJK9CVlTC11PAPzCwQDToFAjRhB5o8y87OBgmN4tEQGA2B0RAYDYHREBgNgdEQGA2BERYCoEVee/fuZcjPz2dobGxE8T2onQ5aGAW6uh50mi5IErQ4DHSCsJ+fH4jLICQkBD59GCQPWlilo6MD3gACkgQtygJdlwlqG//58wckBD61GHS1JZiDhwDp+fbtG0NZWRnDqlWrwCpBmy5A7dfW1lbw6WdgQSgBWngGZWJQoGs0SXE3yADQoraamhoG0MYS0CnKIDEYBi18+/v3L3iTBugUYJg4aBMOaOMGjA86bRl0VSZo4RkIgza7wE5BA22WgakDLewDLeoDmXX9+nUG0OluMLlRejQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2BwAsb/6MdMkeBO0DWPIOWghUggerjh7u5uBtCpYaCd+QEBAYPKe5cuXQJfmYntmhpyHbp27VqGOXPmMIBO+QJNvoFOFAMtLiPXPFL00cI/IPtByRs02QeahAOdQgc6SQIkPtgxaIEj6KSMsLAwvE4FTUCGh4fDT6fDq3hUcjQERkNgNARGQ2A0BEZDYDQEhkkIgNZghYczMPz/T7qHQO1D0HWNoFODP378yADa2ABaKAba7IFu2tu3bxlAGy5AJ5yB2pGgNhpIDUj8/fv3DKBrLUF8GAaZB7o2E6QWdN0lTJwY+vPnz2C7QKeigdriIHcRow+bGpD7iHX3+vXrGUDXf4L6AiAam3mvXr1iAPmLnZ0dvCEFdF0nNnWvX79mePr0KYO+vj7Gojhk9c+ePWMAnXgMwsjiuNiMjAwMK1cyMBBoGuPSPio+GgKjITAaAqMhMBoCoyEwgkJguI9Xj6CoHPXqaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbA4AGrRxeXEYgM0ElXoN3/oKttHBwcCKgelR5sIVBUVMQwdepUBtB1m87OzoPNeTjdA5q4HF1chjN4RiVGQ2A0BEZDYDQERkNgNARGWAi8e/eO4eHDhwyg69VB9LFjHxlWr64na3HZCAs6gt718fEBLxwDhS3oxDSCGgZAwejisgEI9FErR0NgNARGQ2A0BEZDYIiGwOjisiEacaPOHg2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGMxg9ei1mASiZ/LkyQygnf9eXl7gKyMjIyMJ6BiVHgwh8PPnT4b09HSGJUuWMICu5hlKC8sGQ/iNumEUjIbAaAiMhsBoCIyGwGgI0DMEQO1t0OIm0MIxGA26Nh3G/vTpE9g5oAX4oFPEBATUGBgY6sFiowR5IQC6chN0yhhoE8akSZMYBuvCMvJ8N6prNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDgFpgdHEZgZBkYmJiWLp0KUN5eTlDdHQ0w7Vr1xgaGxsZQOIEtI5KD1AIvHz5Eny1Dyiutm7dyuDu7j5ALhm1djQERkNgNARGQ2A0BEZDYDQERkMAFAKgKyRBVyE+f/6c4d69eygYdEUl6DpJkDoQFhQUZFBSUgJj0AYP0GIyKSkpMF9dXZ2Bh4eHAXYtJkj9KCYvBGbNmsUAuoIzJSWFIS0tjTxDRnWNhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDHswuriMiChmZmZm6OnpYTAyMmJITk5m2LdvH/gUMw0NDSJ0jyqhZwisXr2aAXSVKR8fH8PRo0cZtLS06Gn9qF2jITAaAqMhMBoCoyEwGgKjITAiQwC0eAy0aAzbAjJ8i8dcXFzAC5tgC8hA7Wtubu4RGYb09jTolDh62zlq32gIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDQA6OLy0iIs6ioKAZtbW2GpKQk8EKzpqYmhoKCgtErZEgIQ1opBZ2CAVpUtmHDBvB1mF1dXQy8vLy0sm7U3NEQGA2B0RAYDYHREBgNgdEQGFEhAFs8hm0B2e3btxlg11aCAgX55DHY4jHQSWSgBWSKiooMXFxcIGWjeDQERkNgNARGQ2AUjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAEACji8tIjCR9fX2GkydPMvT29jLU1NQwzJ49m6GlpYUhJCSEgZGRkUTTRpVTGgKgq3ymTp3K0NbWxiAkJMSwa9cuBtAkJqXmjuofDYHREBgNgdEQGA2B0RAYDYGRFAL4Fo/dunWL4fPnz/DgwLd4DLSIjJOTE652lDEaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITC0wejiMjLij4WFhaG8vJwhNDSUoba2liEiIoLBxMSEAXSSmZub2+giMzLClFQtoEVls2bNYmhvb2f4+/cvQ1VVFUNeXh7D6GQmqSE5qn40BEZDYDQERkNgNARGQ2AkhADy4jH008du3rzJAGpbwcIB1+Ix0MIxOTm50VN7YQE1So+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAIAKOLyyiIZNAE29KlSxlKS0vBi5s8PDwYdHR0wFdlRkdHM3BwcFBg+qhWbCHw+PFjhsmTJ4NPjPv16xdDTk4OQ0VFBQNoEhSb+lGx0RAYDYHREBgNgdEQGA2B0RAYCSFA7OIxVlZWBhEREQYpKSkGUFsWdOJrWloamA3ijy4eGwmpZdSPoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqNgNARGQ2A0BEZDYDQERkOAeDC6uIz4sMKp0sDAgGHbtm0MFy9eZJgwYQJDdnY2Q2VlJUNSUhJDbGwsg7a2Nk69oxKEQ+DPnz8MO3fuZFi4cCHD+vXrGcTFxRnKysoYQBOhwsLChA0YVTEaAqMhMBoCoyEwGgKjITAaAkM8BNAXjyGfPnbjxg2Gr1+/gn0IWjwmKyvLICkpCV5ANrp4DBwso8RoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgCZYHRxGZkBh02bvr4+w/z58xk6OjoYZsyYAWZ3dnYyGBkZgReZhYeHgyf6sOkdFcMMgdOnTzMsWbKEYcWKFQyvX79msLGxYViwYAFDWFgYA2jiFFPHqMhoCIyGwGgIjIbAaAiMhsBoCAzNEMC2eAy2gOzBgwcM3759A3uMjY2NQUZGBtymBJ0+hr54TF5enoGZmRmsdpQYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQFKwejiMkpDEIt+0Mla9fX1DCB89uxZhkWLFjG0tLQwFBYWMmhpaTH4+voy+Pj4MFhbWzMwMjJiMWFkCv348YPhyJEjDJs3bwafUAa6AlNdXZ0hMzMTvDhPWVl5ZAbMqK9HQ2A0BEZDYDQERkNgNASGfAjgWzx2//59hu/fv4P9CFs8BrqiEnT6mLGxMfzKSpDY6OIxcDCNEqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAnQCo4vLaBzQoAlBEAadYLZr1y6GLVu2gBebgfigK4tAp03Y29sz2NragicOaeycQWU86LrLM2fOMBw+fJjh4MGDDPv37wdPrIJOegNdKern5wc+9W1QOXrUMaMhMApGQ2A0BEZDYDQERkMASwjgWjwGOn3s0aNHDKB2D0jb6OIxUCiM4tEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgaECRheX0SmmODg4GECLpUD4////DKATzUALzUALqpYvX84AOrVLWlqaAbTQzMzMDLyoCnTNJh8fH51cSHtrQCeRnTt3juH8+fMMR48eZTh+/DjD169fGUAnvYEW1/X394NPdANd8UR714zaMBoCoyEwGgKjITAaAqMhMBoCxIXA79+/wVd0P3/+nAG0WAwdIy8eY2dnZwC16UCnjIEw6KRaUNsGxAZhBQUFBiYmJuIsHlU1GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIDDEYXlw1ABICuwjQxMWEA4YaGBoafP38ynDp1Cnx6F+hayObmZoa3b9+Cr8xUUVEBLzTT1dVlUFVVhWMeHp4BcDlxVr548YLh1q1bDLdv3wbTFy5cYAAtKnvz5g3cT+bm5gygxWSgRWUaGhrEGTyqajQERkNgNARGQ2A0BEZDYDQEaBACoMVjoEXwz549Y8C2gAzf4jHQKbSg6ythC8hGF4/RIIJGjRwNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgwMLq4bMCCHmEx6IQL0CIrEIaJgiYxQSd8gTBoYdb8+fMZHj58CL9SCTSBqayszCAnJ8cAmtAEnZABEgNh0ElggoKCDAICAgwsLNSL4m/fvjF8+PCBAXTtE2jyFYSfPn0KnoR98uQJA8jNoAVlnz9/BnsDtAAOtCAOtDCupqaGwdDQkMHAwIBhOJ3GBvboKDEaAqMhMBoCoyEwGgKjITCoQ+DXr18MoLYKqO2CbfEYqI319+9fsB9A7TJQuwp0yhgIoy8eU1RUBC+WByseJUZDYDQERkNgNARGQ2A0BEbBaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAMAfUW3k0zAOK3t4DLRoDYX9/f7jVoFM1QNcwgRZwgU4GA7FBp2yA2KBFXi9fvmSATYzCNHFzczPw8/ODF5pxcnIygK7nBNEgedDCM15eXhCT4d+/fwwfP34Es0HEp0+fwGaBxEALykA0yH6QHAyDzAFNvoIWt8nIyDA4OzszZGRkgE9XU1NTYwAtdIOpHaVHQ2A0BEZDYDQERkNgNARGQ4BWIQBbPAZqG2FbQIa8eAzUFgK1UUALx0AYtHgMRIPaMyDx0cVjtIol2pgbGkobc0dNHQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQgIDRxWWQcBgSJCsrK4O6ujoYY3MwaGEZaIEZCINOFwMtCIMtDAPRP378YPj69SsDaAIWpB9Eg07xAE3EGhsbMyBPpoJOHQPZBzplDLY4DUaDTkUDTcAKCQmBjBnFoyEwGgKjITAaAqMhMBoCoyFA0xBAbrOMLh6jaVAPGcNlZRkYQkKGjHNHHUphCIDiGhTnFBozqn00BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOADDC6uIyMQBusWpiZmcGnhYFO3SDWjatWrWIIDw9nuHv3LrFaRtWNhsBoCIyGwGgIjIbAaAiMhgBVQ+Dnz58MoFNYQQveQRh9AdmDBw/Ap6yCLMV18hjy6WMgdaN4eIeApSUDw+rVw9uPo74bDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCoyEwGgKDAYwuLhsMsTDqhtEQGA2B0RAYDYHREBgNgdEQGMYhgL54DH0BGbGLx0ALyEAnqA7joBr12mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDCowurhsUEXHqGNGQ2A0BEZDYDQERkNgNARGQ2DohQChxWP3799n+P//P9hjoMVhoOu1QSetghaLubi4MIBoEFZWVmYQEBAAqxslRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNAQGHowuLhv4OBh1wWgIjIbAaAiMhsBoCIyGwGgIDOoQ+PHjBwPoqkrQiWPIGCT2/PlzBmIXj6moqDDw8/MPar+OOm40BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDAAFGF5chwmKUNRoCoyEwGgKjITAKRkNgNARGZAiQungMdMoY6PQxbW1tBl9fX/jJY6OLx0Zk8hn19GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwDAGo4vLhnHkjnptNARGQ2A0BEZDYDQERkNgNARAIfD9+3cG0AljyKeOwdiw08dA6kAYdG0laPEYCBsbGzPArq8E8VVVVRn4+PhAykbxaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAIAKOLy0ZAJI96cTQERkNgNARGQ2A0BEZDYHiHAL7FY6BFZO/fv4cHAPLiMWtra5TFY2pqagy8vLxwtaOM0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYGRDUYXl43s+B/1/WgIjIbAaAiMhsBoCIyGwBAIAdDiMNgJY6DFYsj47t27DB8+fID7AnnxmIuLCwPo+krY6WOji8fgwTTKGA2B0RAYDYHREBgNgdEQGA2BUTAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIUAEGF1cRkQgjSoZDYHREBgNgdEQGA2B0RAYDQFahgC+xWN37txh+PjxI9x69MVjsbGx8NPH1NXVGXh4eOBqRxmjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQAkYXVxGSeiN6h0NgUESAoyMjIPEJaPOGA2B0RAYDYHREKB1CIAWop09e5YBhGlt16j5oyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMNRCICQkZKg5edS9oyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwqMHo4rJBHT2jjhsNAfwhYGVlxbBy5Ur8ikZlR0NgNARGQ2A0BGgeAl+/fmV4+fIlA2jhFwi/evUKzAfRz58/Z/j+/TvcDdzc3Azi4uIMYmJicBp0GhkIS0tLM7Czs8PVjjJGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARICwFZWVnSNIyqHg2B0RAYDYHREBgNgdEQGA2BUTAaAqMhMBoCoyEwGgKjIYAXjC4uwxs8o5KjITC4Q0BGRoYhLCxscDty1HWjITAaAqMhMAxCALRg7N69ewwg/OzZMwbQgjEQG4Rv3brF8PnzZ7gvQYvElJSUGEDY3t4eTIPYkpKSDIqKigxcXFxwtaOM0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBjMYHRx2WCOnVG3jYbAaAiMhsBoCIyGwGgI0CUEkBePgRaMIS8gw7d4zMXFhSEtLQ2+gExOTo6BhWW0eUWXSBu1ZDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOA5mB09pPmQTxqwWgIjIbAaAiMhsBoCIyGwECHAL7FYzdv3mT48uUL2ImsrKwMIiIiDFJSUuAFY6OLx8DBMkqMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIxQMLq4bIRG/Ki3R0NgNARGQ2AUjIbAcAoB9MVjyKeP3bhxg+Hr169g744uHgMHwygxGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAkSB0cVlRAXTqKLREBgNgdEQGA2B0RAYDYGBDAF8i8euX7/O8O3bN7Dz2NjYGGRkZBgkJSXBp4+hnzwmLy/PwMzMDFY7SoyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAjgB6OLy/CHz6jsaAiMhsBoCIyGwGgIjIYAHUIA2+Ix2OljDx48wFg8pqSkBF5Apq2tzZCWlga+whIkNrp4jA6RNWrFaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsCIAaOLy0ZMVI96dDQERkNgNARGQ2A0BAYuBHAtHgMtIHv06BHDnz9/wI6DnTwGWigGOn3M2NgYvnAMJDa6eAwcTKPEaAiMhsBoCIyGwGgIjIbAaAiMhsAoGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQoAsYXVxGl2AetWQ0BEZDYDQERkNgNASGbwj8/v2b4fXr1wzPnz9nAC0WQ8fIi8fY2dkZpKWl4QvGrK2twddXghaOgbCCggIDExPT8A2sUZ+NhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwBACo4vLhlBkjTp1NARGQ2A0BEZDYDQEBiIERhePDUSoj9o5GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAgMPRheXDXwcjLpgNARGQ2A0BEZDYDQEBjQEfv36xfDkyROGZ8+eYT197OHDhwx///4FuxH95DEXFxcG0PWVUlJS4NPIRk8eAwfTKDEaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCo2A0BEZDYDQERkNgNASGBRhdXDYsonHUE6MhMBoCoyEwGgKjIYA7BGCLx0DXVWJbQIa8eIyDgwPlmkrQ4jHQdZWwBWSKiooMjIyMuC0blRkNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYNmB0cdmwicpRj4yGwGgIjIbAaAiM1BAYXTw2UmN+1N+jITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQFswuriMtuE7avpoCIyGwGgIjIbAaAhQHAI/f/5kePr0KQPo5DEQRj997MGDBwz//v0D24Pr5DHk08fACkeJ0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQIABGF5cRCKBR6dEQGA2B0RAYDYFRQOsQGF08RusQHjV/NARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDgBwwuriMnFAb1TMaAqMhMBoCoyEwGgIkhAD64jH008eQTx4TFBRkkJSUZJCSkmIAnTbm4uICpkFsZWVlBgEBARJsHlU6GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoC5IPRxWXkh92oztEQGA2B0RAYDYHREACHwI8fPxhAV1WCFo0hY5DY8+fPGe7fv8/w//9/sNrRxWPgYBglRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BIYAGF1cNgQiadSJoyEwGgKjITAaAgMbAqQuHgOdMgY6fUxbW5vB19cXfvKYiooKAz8//8B6ZtT20RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgVEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFAJBhdXEZkQI0qGw2B0RAYDYHREBi+IYBr8RjoFDLY6WMw34NOHsO1eExVVZWBj48PpnSUHg2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgSENRheXDenoG3X8aAiMhsBoCIyGADEh8P37dwbQ9ZSgxWLoGNfiMdACMmtrawYpKSn4yWNqamoMvLy8xFg5qmY0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGPBhdXDbko5B4D8BO5kHW8fLlSzAXtNgCzIASzMzMDPLy8lDeKDUaAqMhMBoCgzsE3r9/zwBbJAYqz5Dx3bt3GT58+AD3AOzkMdDiMRcXFwbQ9ZWwBWSji8fgwTTKGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgVEwGgKjITAaAqMhMAoYRheXjaBEADq5R1NTk+HXr18YvlZWVkYR8/b2ZtiyZQuK2ChnNARGQ2A0BAYqBChZPBYbGws/fUxdXZ2Bh4dnoLwxau9oCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMKTC6uGxIRRdljgWd1uPu7s6wbds2hr9//+I1LDIyEq/8qORoCIyGwGgIUDMEQIvHQKeNYTt97M6dOwwfP36EWwcqy0CnjoEw6OSxtLQ0+OljGhoaDNzc3HC1o4zREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQHywejiMvLDbkjqjI6OJngiGTs7O4O/v/+Q9N+oo0dDYDQEBmcI4Fs8dvv2bYZPnz7BHT66eAweFKOM0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGFAwurhsQIOf/paDFo1xcnIyfPv2DavlLCwsDAEBAaPXxmENnVHB0RAYDQFcIQBbPIbt9LFbt24xfP78Ga4V2+Ix0ClkkpKSDIqKigxcXFxwtaOM0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BgQOji8sGLuwHxGYODg6GwMBAhlWrVjH8/v0bww2g6zJBp5thSIwKjIbAaAiM6BCg1uIx0CIy0ALXER2Yo54fDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BIQJGF5cNkYiipjOjoqIYli5ditVIHh4eBjc3N6xyo4KjITAaAsM3BJAXj6GfPnbz5k2GL1++gD3PysrKICIiwiAlJcUAWijm4uLCkJaWBmaD+HJycgygExDBikeJ0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BIQ1GF5cN6egjz/GgxWOCgoLga+yQTQAtGgkPD2dgZ2dHFh5lj4bAaAgMgxBAXzyGvIDsxo0bDF+/fgX7ElQOjC4eAwfFKDEaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEY8GF1cNgKTAOhUIdAisnnz5jH8+vULHgKgazJBp5rBBUYZoyEwGgJDJgRIWTwmKyvLICkpCT59DP3kMXl5eQZmZuYh4+9Rh46GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCNAOjC4uo13YDmqTIyMjGWbMmIHiRlFRUQY7OzsUsVHOaAiMhsDgCAFsi8dgp489ePCA4du3b2CHsrGxMcjIyIwuHgOHxigxGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyFACRhdXEZJ6A1hvba2tuDFJ8+fPwf7AnQVXmxs7OiJReDQGCVGQ4D+IYBv8dj9+/cZvn//DnYUbPGYkpISOA8bGxszgNgwPHryGDiYRonREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgFoyEwGgKjITAaAlQAo4vLqBCIQ9EIRkZGhpiYGIaJEyeCr8YEXYkJOs1sKPpl1M2jITDYQwCUv16/fs0AWswJOm0MHT969Ijhz58/YG+ws7MzSEtLwxeMWVtbg6+vhC0eU1BQYGBiYgKrHSVGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ4CWYHRxGS1Dd5CbDVpM1t3dDXYl6LQjExMTMHuUGA2B0RAgLQRGF4+RFl6jqkdDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BIYGGF1cNjTiiSauNDQ0ZFBRUWG4c+cOQ0JCAk3sGDV0NASGQwiAFo89fvyY4dmzZ1hPH3v48CHD379/wV5FP3nMxcUFfH2llJQU+DSy0ZPHwME0SoyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAwBMLq4bAhEEi2dGBsby1BfX88QERFBS2tGzR4NgUEdAr9+/WJ48uQJUYvHODg4UK6pRF88pqioyAC6dnZQe3jUcaNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOACDC6uIyIQBrOSqKjoxk2btzIoKGhMZy9Oeq3ER4CsMVj9+7dw7qADPnkMWyLx5SUlOCnj40uHhvhiWnU+6MhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITCCwOBdXBYaOoKiYeC8qszAwNDNw8PAMBre9IkES0sGhqIi+tg1gmz5+fMnw9OnTxlAi8dAGP36ygcPHjD8+/cPHCK4Fo/BFpBJSkqOnjwGDqlRYjQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYKSDwbu4bM0aBgYLCwYGGZmRHkc097+TmBjN7Ri1gIGB4cSJ0WAgMwSouXhMSkqKTFeMahsNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCIwsM3sVloHgoLGRgCAsDsUbxaAgM/RAYPR0OZxyiLx5DP32M2JPHQKePCQoK4rRnVGI0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDgHgwuBeXEe+PUZWjITAaAoM4BH78+MEAuqoStGgMhkH858+fg6+yvH//PsP////BPgAtDgNdTQk6YQy0WMzFxYUBRIOwsrIyg4CAAFjdKDEaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQFswuriMtuE7avpoCFAtBECne7Gzs1PNPGoahG3xGGgRGWwBGfriMdBCMdACMhCNvHhMRUWFgZ+fn5pOGzVrNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEbBaAiMhsBoCIyGAJlgdHEZmQE3qm00BOgVArt372ZobGxkSE1NZYiPj6eXtSj24Fo8BltA9uLFC5STx0CLxkCLx7S1tRl8fX3hJ4+pqqoy8PHxoZg9yhkNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGJxgdHHZ4IyXUVeNhgDDxYsXGXp7exlOnTrFwMjIyODm5kazUPn+/TsD7IpK0IIxZAw7fQxmOejaStDiMRC2trZmgF1fCeKPLh6DhdIoPRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCQx+MLi4b+nE46oNhFgJ79uwB+6itrY2BmZkZzAbRDx8+BLPJIfAtHgMtJHv//j3cWHyLx9TU1Bh4eXnhakcZoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgLDF4wuLhu+cTvqsyEWAqBFZRUVFQxnz56Fu/zv379g9p8/fxhu374NZmMjQIvDYCeMgRaLIeO7d+8yfPjwAa4NefGYi4sLA+j6StjpY+rq6gw8PDxwtaOM0RAYDYFRMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAiMXjC4uG7lxP+rzQRICoEVl5eXlDOfOnWNgYcGdJW/evMmwZs0aBtAJZg8ePGBAxl++fAH7homJCbxYTEFBgQGEPTw8GOTl5cFsEA3C7OzsYLWjxGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAjgA7hXsuDTNSo3GgKjIUBxCIAWlZWVlTGcP38efv0l6IQyXAa/evWKITQ0lAH55DFvb28GJSUl8IIy0OljGhoaDNzc3LiMGBUfDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAaLB6OIyooNqVOFoCFAeAv8ZGBg2rF/PUFdXx3DlyhX4ojLY9ZeEbLhz5w6DsrIyIWWj8qMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwCkZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ4BiwESxCaMGjIbAaAgQHQLbnj9nWLhwIcPz58/Bev79+8fAxsYGZhNDPH36lBhlo2pGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDgGIwuriM4iAcNWA0BIgPAW9JSYYNGzYwvHnzhgG0UGzjxo0MlZWVDA4ODgzs7Oxgg1hYsB8oyMTExPDgwQOwmlFiNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BGgNsK9iobWto+aPhsBoCDBISUmBsa+vLzg0fv/+zXDx4kWGkydPMuTk5DCIiYkxvHr1CizHwcHB8PPnz9HFZeDQGCVGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgI0AOMnlxGj1AetWM0BIgIAVZWVgYTExOG7OxssOrJkyczvH37lmHbtm0M5eXlDK6urgyfPn0Cy40SoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIUBrMHpyGa1DeNT80RCgIASEhIQYPD09wZgCY0a1jobAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgDJYPTkMpKDbFTDaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDH8wbE4uu3HjBsPRo0fxxhg3NzdDREQEXjXIkqDrCEHXEML0oPOR1YLYW7duZXjx4gWDhYUFg7a2NkiIZnjjxo0MP3/+ZAgLCwPbge42dD5YERkEIT+h24POJ8NKmmhBDy+aWDJq6GgIjIbAaAiMhsAoGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBhGgPH/////yfVPaGgoWOvq1avBNFUJRkYGhpUrGRigi6cImT1z5kyGjIwMvMpkZWUZHj16hFcNsqSDgwPD3bt3GR4/fgwWRueDBaHEx48fGSQlJRm+f//O4O/vz7BhwwaoDG0oU1NThrdv3zLcu3cPbAG629D5YEUkEsT4Cd0edD6JVlJF+bFjxxj27dvHkJqayiAuLg42Ez28wIL0JqD5hYGI/MLIyMiwcuVK+OJBejt11L7REBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgREPVg+bk8tgUVlYWMjg5+cH46LQHBwcKHxqckALgUALy/j4+Bi2b98OXvglLCxMTStQzMrJyQEvZEMRpDKH3n6ilvMPHz7MUFtby+Dj4wNfXEaP8KKW+0fNGQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHBAIbd4jI1NTUG0OlZ9A7cBQsWMIiJiTGUl5czFBcXM6xatYohMzOTYmfADpYDnWSFbFh8fDwylyZsWvjp379/DExMTHjdi8vPeDURkCQUXsS4i4AVo9KjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCo2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgWAH8q3yGlVcRnomLi2OIiYlBCEBZHR0dDLa2tgx//vyBihBH3bx5k+H48eMMERERDFFRUeDFU4sXL8bQDLqmEXSC1rNnz8Dq5OXlGZSVlRmSkpIYvn79iqL+4sWLDC4uLgwCAgIMXFxcDObm5uAT0WCK8vLyGBITE2FcougDBw4wZGdnM4AW4IGuCI2MjGSYMWMGw9+/fzH0E+snDI1YBK5fv87g5eXFICoqysDNzc0AuqJy7dq1GCoJ+RmkgZAf0tLSwH4CqQWFKyicQGwQjR5exLiLlDgD2TOKR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2C4gBG5uOzs2bMMIIweibdv32Y4cuQIA+gUK3Q5fPyFCxeCpUGL1iQkJMAnp4EWm925cwcsDiMuXLjAsHXrVgYzMzOGx48fgxejgRZ5zZ8/nwGkF6YOtIDKwsKC4caNGwzJycnghWg3b94EX/d57NgxsDKQ+QcPHgSziSH2798PXqy2YsUKBnd3d4aUlBSwG0Cnq1VWVmIYQayfMDSiCYDCE7SYDLSQKz09naGmpoaBmZmZISQkhKG5uRmumhg/E+MH0MI5SUlJsLkgtoqKCpiNHl7EuovYOANbMkqMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwDACw+5aTNBJXDt37sSIIhYWFobVq1djiFMqAFqItmjRIgYtLS0GY2NjsHGgE8z27dvHsGTJEoaGhgawGIx48OAB+OrM9vZ2BtBVlyD9oMVXe/fuBSsB8QsKChjY2dkZQAuuYIujSktLwXZMmzaNwcrKCqyWFGL58uUMoDC4e/cu+DQ0kF7QFZ5KSkoMmzdvZujq6gIJgTHIDaT4CawJCwG63jI/Px/sl6NHjzJISUmBVZWVlTF4eHgwtLS0MISHhzOA/EiMn4nxQ0lJCfgkNtBisoqKCgYDAwOwncgEse4CLU4D6SMUZyA1o3g0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAgMNzDsTi67d+8eA+h0L3QMWmxEi8jbvXs3w9OnTxliY2PhxgcFBTGwsrKCF5fBBaEMTk5O8IIz0MIykBATExODtbU1w8ePHxmePHnCcP78eQbQ9ZABAQHgRVcgNSCsoaHBMGnSJPCpZyA+qbioqIjh9OnT8IVlIP2/fv0C8z99+gTiwjGpfoJrRGOcO3eOAYSdnJzgC8tASkBhk5CQwACyH2QXsX4mxQ8ge3BhkJtAmJC7YPoJxRlM3Sg9GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAsMJDLuTy0AncGVkZNAtjhYsWAC269GjR+CTuMAcBgYGMTExBtApYaBFbsgnjYHEOTg4YMrAtKCgIJj+8uULA+wqTV1dXbAYMpGTk4PMJYkNWpz29u1bht7eXgbQQjvQaVyga0BBC8tgJ4rBDCTVTzB96DTIfJCYvb09iELBRkZGYP6tW7cYREREwGxCfibFD2ADcRDEugumnVCcwdSN0qMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwnMCwW1xGSeS8e/eOJO0fPnxg2LBhA/h6y5kzZ2LVu3jxYpRrLEGnYGFVyMDAALqu8fXr12BpaWlpME0toru7m6Gurg58RSVosZeLiwtDdXU1eLHZ/fv34daQ4ye4ZjTGmzdvwCIKCgpgGpn4+fMnmMvMzMxArJ+J9QPYYDwEse6CGUEozmDqRunREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGE5g2F2LSUzkgK6k/PfvH4bSmzdvYojhE1ixYgXDjx8/GEALy/7+/cuAjEHiQkJCDKtWrQJf/4jPHGQ52EKskydPIguD2YsWLWKAnSoGFiCSAC3eqqioYODn52d4/Pgxw8aNGxk6OjoYAgMDwe5HNoaaflJUVAQbffjwYTCNTIBOTwPxlZSUGIjxMyl+AJmLDxPrLnxmjMqNhsBoCIyGwGgIjILREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B4Q5G5OIy0GIm0LWQv3//hsfv1atX4VdSwgUJMEALvdjZ2RlCQ0MxVLKysoIXb4FOQ9u2bRuGPC4BU1NTBtBJWfv27UNRcu3aNYaEhASGgwcPoogTw3n48CEDaDFdUFAQAy8vL1wLaKHZhQsX4HwQg5p+MjQ0ZGBjY2PYvXs3yGgUfODAAQbQqWXu7u4MxPiZFD+gWISFQ6y7sGgdFRoNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BEQNG5OIyc3Nz8GlioMVaoEVOc+bMYQgICACf7EVszF+/fp0BdLqYj48Pg4CAAFZt4eHhYHHQ1ZhgBhGEuLg4Q0FBAcOlS5cYMjIyGM6cOcMAOrEsMjKSgYWFBSxGhDEoStTV1Rl4eHgYVq5cybB582aG27dvg09As7KyYuDj42P48uULA+jUNmr7SUpKiiEnJ4fh/PnzDFlZWQxXrlwB21NfX8+wZs0ahpiYGAZVVVUGYvxMrB9AHpeXlwdRDLNmzWI4ffo0mI1MEOsuZD2j7NEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYaYBlpHkY5N/i4mIG0LWMy5YtYwBhaWlphtjYWJAU+LpIMIMAATrhC6QEtEAKRGPDjo6ODCIiIgxbtmxheP/+PTYlWMWam5sZ/v//z9Dd3Q2+chOkSFJSkmHp0qUMoIVxID4pGHRa2bx58xiSkpIY/Pz8wFpBV3b29/czcHNzM8THxzPo6OgwFBUVgeWo6af29nbwdaETJ05kmD59Oth8EAFaOAcSA7FBmBg/E+MH0Gl0rq6uDBYWFmD7QAvm9u/fD7ICBRPrLhRNo5zREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYBaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwggDjf9AqJjI9DLsOcvXq1WSagEcbIyMDw8qVDAxhYXgUUSb1+vVrhqdPnzLo6+szMILso8w4quv++vUr+AQz0OlioBO+QFdMUmLJ27dvwaeIgRaqaWlpwf0MEgctflNRUaHEeLx6X716xQC6ghN0jaienh6DoKAgVvWE/AxyK+gkNGL88OzZM/A1oKDFdVgtY2BgINZduPSTJA67PpWI/AJKj6CT5sJomP5Jcvuo4tEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BkQZWj+jFZSMttkf9O8AhMLq4bIAjYNT60RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQESwGomEhSPKh0NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BUTAaAqMhMELA6OKyERLRo94cDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BUsDo4jJSQmtU7WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIwQMLq4bIRE9Kg3R0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDgBQwuriMlNAaVTsaAqMhMBoCoyEwGgKjITAKRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEYIGF1cNkIietSboyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhQAoYXVxGSmiNqh0NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYERAkYXl42QiB715mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwCgYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQIAWMLi4jJbRG1Y6GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAIAaOLy0ZIRI96czQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEgBo4vLSAmtUbWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqNgNARGQ2CEgNHFZSMkoke9ORoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqSA0cVlpITWqNrREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYIWB0cdkIiehRb46GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgApgIUUxXRX29/PwLB6Nd2tHbVwNARoEgInTjAwWFjQxOhRQ0dDYDQERkNgNARGwWgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgC1weA9uSwkhIFBRoba/h01Dy0Ezr5/z5B+7hya6CiXJiEAWlhmaUkTo0cNHQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQFqg8F7ctnoiWXUjmus5t1dtYphVng4w8y7d7HKjwqOhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjEwweE8uG5nxMerr0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYBaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwKMDo4rJBEQ2jjhgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHBBUYXlw2u+Bh1zWgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAwKMLq4bFBEw6gjRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbA4AKji8sGV3yMumY0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNAQGBRhdXDYoomHUEaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITC4wOjissEVH6OuGQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgUEBRheXDYpoGHXEaAiMhsBoCIyGwGgIjIbAaAiMgtEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYXGB0cdngio9R14yGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsCgAKOLywZFNIw6YjQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BAYXGF1cNrjiY9Q1oyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgUIDRxWWDIhpGHTEaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKDC4wuLhtc8THqmtEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgUYHRx2aCIhlFHjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMgtEQGA2BwQVGF5cNrvgYdc1oCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMCjC6uGxQRMOoI0ZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2BwgdHFZYMrPkZdMxoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAoMCjC4uGxTRMOqI0RAYDYHREBgNgdEQGA2B0RAYBaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwuMDo4rLBFR+jrhkNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYFBAUYXlw2KaBh1xGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAwuMLq4bHDFx6hrRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAoACji8sGRTSMOmI0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNAQGFxhdXDa44mPUNaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAowOjiskERDaOOGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYFRMBoCgwuMLi4bXPEx6prREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYFGB0cdmgiIZRR4yGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDgAqOLywZXfIy6ZjQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BAYFGF1cNiiiYdQRoyEwGgKjITAaAqMhMBoCoyEwCkZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgcIHRxWWDKz5GXTMaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKDArAMCleMOoIuIfDjxw+GZ8+eodj18uVLMP/evXtgGkYwMzMzyMvLw7ij9GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAIA6OLy0ZQhH///p1BU1OT4devXxi+VlZWRhHz9vZm2LJlC4rYKGc0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDIAaPXYo6cuGYQFBRkcHd3ZwCdSkbI25GRkYSUjMqPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDGMwurhsGEcuNq9FR0cz/Pv3D5sUXIydnZ3B398fzh9ljIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIw8MLq4bITFOWjRGCcnJ05fs7CwMAQEBDDw8PDgVDMqMRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwCkZDYPiD0cVlwz+OUXzIwcHBEBgYyMDKyooiDuP8/fuXAXS6GYw/So+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMTDC6uGwExntUVBTD79+/sfocdGKZm5sbVrlRwdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYGRA0YXl42cuIb7FLR4TFBQEM6HMUCnmYWHhzOws7PDhEbp0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgREKRheXjcCIZ2FhYQAtImNjY0PxPeg0M9CpZiiCo5zREBgNgdEQGA2B0RAYDYHREBgFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjEowuLhuR0c7AEBkZyfDr1y8U34uKijLY2dmhiI1yRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEYmGF1cNjLjncHW1pZBUlIS7nvQlZixsbEMzMzMcLFRxmgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDIBaOLy0Zo3DMyMjLExMQwwK7GBF2JCTrNbIQGx6i3R0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgFIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIoIHRxWVoATKSuKDFZLCrMeXl5RlMTExGkvdH/ToaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyGAB4wuLsMTOMNdytDQkEFFRQXszYSEBDA9SoyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgAIjC4uA4XCCMaxsbFg30dERIDpUWI0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERsFoCIDA6OIyUCiMYBwdHc1gZGTEoKGhMYJDYdTroyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAuiABV1gsPJDQwery4a6u5QZeHi6GUbDlzbxaGnJwFBURBuzR00dDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAVqCIbO4bM0aBgYLCwYGGRlaBsfINFtMzGlkepzGvj5xgsYWjBo/GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAjQEQ2ZxGSgMCgsZGMLCQKxRPBoCgz8ERk+DG/xxNOrC0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaArgBE26pUZnREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYGRCkYXl43UmB/192gIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCOABo4vL8ATOqNRoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjILREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBipYHRx2UiN+VF/j4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGAB4wurgMT+CMSo2GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBIBaOLy0ZqzI/6ezQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgI4AGji8vwBM6o1GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIxUMLq4bKTG/Ki/R0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDAA8YXVyGJ3BGpUZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2CkgtHFZSM15kf9PRoCoyEwGgKjITAaAqMhMBoCoyEwCkZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQE8IDRxWV4AmdUajQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEYqGF1cNlJjftTfoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhgAeMLi7DEzijUqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYKSC0cVlIzXmR/09GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCeMDo4jI8gTMqNRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAiMVsAxXj9+4cYPh6NGjBL3n4ODAoKysTFAdTMG2bdsYPn36xBAREQETGjT0kSNHGG7evMmAzU9v375l2LBhAwMPDw9DeHg4hpv37dvHcP/+fQYXFxcGeXl5ho0bNzL8/PmTISwsDEMtTGDFihUMv3//ZoiNjYUJEUVv3bqV4cWLFwwWFhYM2traROkhVxG6P9DjD51Prj2j+kZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERsFwA4z/////T66nQkNDwVpXr14NpmlJMDIyMKxcycCAZ60TivUzZ85kyMjIQBHDxlmyZAlDdHQ0NimsYqCFW3fv3mV4/PgxVvmBFJw8eTJDXl4eQ01NDUNzczOKU+bMmcOQmprKwMTExPDy5UsGERERFHkdHR2Gq1evMty7d49BUVGRwdTUlAG0IA3EByk8duwYA2gBGsgMcXFxkBBYzZcvXxiuX78O5hNDfPz4kUFSUpLh+/fvDP7+/uAFb8ToI1cNuj/Q4w+dT6492PRBswcDOdmDkZGRYeXKlXgX92Gzc1RsNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BKgEVg/bk8tgAVRVVcXg6uoK42LQWlpaGGJDVcDJyQnsdGwntu3cuRMs9+/fP4bdu3czREZGgvkg4v379wzXrl1jUFJSAi8sA4nl5OSAF4CB2CB8+PBhhtraWgYfHx8G2OIykDipGLRgCrSwjI+Pj2H79u3gBWzCwsKkGkO0enR/EK1xVOFoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjHAw7BeXaWpqgq+JHAnxDLpiUkJCguHkyZMMf/78YWBhgUTv379/Gfbs2cPg5eXFcPDgQYYdO3agLC4DnUoGOsDO2dkZHkzx8fFwNjUZCxYsYBATE2MoLy9nKC4uZli1ahVDZmYmxVaA3A8yBHTiF4iGYVr5A2b+KD0aAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCwxUwDVePkeov0HWPoFOunj17xhAVFcUgLy/PoKyszJCUlMTw9etXvMYdOHCAITs7m0FNTY1BVlYWvHBrxowZDKBFXTCNoOsqk5OTGZ48eQJWKyoqCpNiuHTpEkNQUBD41DDQVZELFy4ELwYDXTsKupoSpvDDhw8MWVlZDKArLEGLyEB6tm3bBpMG06DTy759+8Zw/vx5MB9EnDp1igGkF2Q26BpI0MllsMVYIHnYSWfIi8tA7k1MTARJM6SlpTGA/APigMIDJAdiwzDoOs3Y2FgGaWlp8OlnKSkpDKDTyWDyMPrmzZsMx48fZ4iIiACHMeiKzsWLF8Ok4TQpcXHx4kUGFxcXBgEBAQYuLi4Gc3Nz8IloMMNAboX5AyZGiCYmPgmZMSo/GgKjITAaAqMhMBoCoyEwGgKjYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEhjoYXVwGjcELFy4wbN26lcHMzIzh8ePH4AVQoIVi8+fPZ4iLi4OqwqT2798PXty0YsUKBnd3dwbQwiqQftBpXJWVlXANoAVkoEVc3t7eDNOmTWOQk5MDyx06dIjB0tKSAXTtpI2NDYOgoCADaJFbbm4uw5o1axhAC8VACkGL0gwNDRkWLVrEYGdnxwBaMPXgwQMGX19fhgkTJoCUgDFsgRjILrAAAwMD7EpMkPs8PDwYnj9/Dl7QBpMHqQWd+AVamAYTAy0CA51yBuKDFs1JSkqCmOAFdCoqKmA2iHj9+jWDo6Mj+LS06OhoBpDc3Llzwe4DySNj0KI5EB8UnqDFcaCFbiB77ty5AxKGY2LjArQIzMLCguHGjRsMoIV7oEWBoAVsfn5+DKDT2EAGgsyH+QPEJ4SJjU9C5ozKj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBQB5B7E4e6L/C4H7Twau3atVhVgK6RbGlpgcuBFmuBrmtsb29nAC22+vfvH4OpqSnD3r174WrQGcuXLwdfP3n37l3w6VkgeZAZSkpKDJs3b2bo6uoCCYExaOETaIHXypUrGTQ0NBhA5oNO1mJnZ2c4c+YM+LQ0kELQdZEmJiYgJhxXVFQwgNx34sQJ8OlcIInGxkYGT09P8BWToAVbQkJCDMiLywoKCkDKwIvLQPaBTmMD2Q8SBC0409fXZ/j16xcD6GQzPT09BuTT1EBqYLikpAR8ChtooRbIHQYGBjApBtDJag0NDQz19fVwMdDpYbt27YLzQQyQX0EL47S0tBiMjY1BQuAFfPv27WNYsmQJA8gMsCCUAPkVFI644gJkHsh/oLADLTIDLWoDaS0tLWUA2QFawGdlZQUSIgmTEp8kGTyqeDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGGBj2J5c9evQIfEoX6OQwdAxaEIYcX5ycnOBFTqCFZSBx0LWN1tbWDB8/fgRfZwkSQ8dFRUUMp0+fhi8sA8mDFmyBrmn89OkTiIuCm5ubwQvLQIKgqytB1zqmp6fDF5aBxHV1dRnCw8NBTDB+9+4dw7Jly8AL3UALt8CCDAwMbGxsDKArJEH2rVu3DiwMWkAGus4TdBoZSOD9+/dg94FOLAPxVVVVwddvghaXgfjnzp1j+PHjB3xRGkiMFAwKI9CCM2Q9oMVjIHtBp63BxEFXcT59+pQBdH0mTAx0rScrKyt4cRlMDEYTigtY2AUEBIBPS4PpAy2imzRpEvgEOpgYKTSp8UmK2aNqR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwFACw/7ksr6+PoaYmBii4kRMTIyBg4MDRS3omkqQwJcvX0AUBgYtZgKd3tXb28sAOtkLdOLW7du3GUALy6SkpFDUg04GA52EBhOELW5TV1eHCcFp0KlqMA7oxLP///8zgNyAvOgMJA+yB0TDzAKxQaeXzZo1i+HevXsMZ8+eBZ86BjuxDCQPYs+bN4/h69evDLBFaCA9IDlSsbS0NAPo9DBkfaCFdSA+yL0gGoQXLFgAohhAi/2QT4sDhTnI7aBrLJFPGgOJ44sL2FWaoIV4YIORCNC1okhckpikxCdJBo8qHg2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYEhBob9yWWkxAfotCxc6kGLu7DJdXd3M8jIyDCATiT7/fs3g4uLCwNoIRXoxDN09eiLsECne4HUCAsLgygU/PfvXzgftHgNxAHpB530hYxBeqOjoxmQF6PBFoqBFo6BTigDLdKyt7cHGQHGoFPMQKedga6TPHLkCAPIPDs7O7AcqQQ3NzdOLbAw+/DhA8OGDRvAV43OnDkTfIUm6BpNEH7+/DlY/+LFi8E0jCAUF69fvwYrBS1uAzOoRJASn1SyctSY0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBiUYNifXEbLUActcAJdCQk6kQx0WhkvLy/cutbWVjgbF0NBQQEsBVoE5uvrC2bDCNC1jzC2kpISmAm60nLJkiVgNowALUL7/PkzAxcXF0yIwdHREbyQC7RwDLS4DLSwDHmxlpOTE3hB2Y4dOxhAJ4aBrtrk4eGB66c2Y8WKFeCrN0GnqYGu8UQ2H7QgT0JCgmHVqlUMEydOBF/1iSyPiw0Lu5MnTzJERESgKFu0aBHDv3//GBISElDECXEojU9C5o/Kj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBQAqMnl1EQWw8fPgQvYgoKCmJAXlj2+PFjhgsXLhA0WUdHh4GFhYVh9+7dKGpB11nu2bMHLqaiosIAWsAGWigGWowFl2BgYGhvb2cAXd156tQpuDBILei6SNCCrSdPnjCArsGESzIwgN1qaWnJAFqo9urVKwbYSWfIaqjJBp3kBjp1LTQ0FMNY0KlpgYGBDO/evWPYtm0bhjwuAdD1oqAFc/v27UNRcu3aNfCisoMHD6KIE8OhND6JsWNUzWgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMFTDsF5fNnz+fISMjAyfeunUr2XGlrq7OADrxa+XKlQybN29mAJ1eBlpIZWVlxcDHx8fw5csXhps3b+I0H3SlY35+PsO5c+fAC6K2b9/OMGnSJAZPT08UPWxsbOBFZJ8+fWKIiYkBq79z5w5Db28vQ0tLC4OrqysD+jWcoAVjoOsoQQaBrsEE0cgYtOAMJg9SiyyHjS0vLw8WBp0+dvr0aTCbGOL69esMoNPFfHx8GAQEBLBqCQ8PB4ujX40JFsRBiIuLMxQUFDBcunQJHLdnzpxhAJ1YFhkZCV6wB4pzHFpxClManzgNHpUYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgSEIhv21mKCTrUAYV9xISUkxeHt745LGKw46rWzevHkMSUlJDH5+fmC1QkJCDP39/Qzc3NwM8fHxDKDTydBPGwMrhBIdHR3gRVcTJkxgWLhwIYOwsDBDdHQ0WKypqQm8SA2kNDk5meHbt28MZWVl4CskQWKgU89SUlIYQFdwMjIygoTgGLRgDOQOOTk5Bk1NTbg4jAFacFZdXQ12p4WFBUwYJw1awAZSN336dAbQgrH9+/fjVIssAVpsB+KDFsWBaGwYdI2niIgIw5YtWxjev3+PTQlWsebmZob///8zdHd3M8ycOROsRlJSkmHp0qUMoKs+wQIkENSITxKsG1U6GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAoMaMP4Hrc4h04mwaw5Xr15NpgnEawOtnVq5koEhLIx4PfRS+fbtW4bz588zgBY2aWlpMcAWeoHEQYulQNdaEuMWkFpBQUGw0tzcXPBiq/v374P5MOLz589gu0CnooGuvpSVlYVJ0YV+9uwZ+FpN0EIsulhIhCVfv34Fn2AGOi1OVVWVAXTSGxHacCoBxRs14hN2Cyg52QOUhkAn4oUNxgSPM+RGJUZDYDQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMI7B62J9cRo/IAp025uLigmEVSByEMSSgAt+/f2dwcnJiAJ0IBjplDLawDLRYaufOnQwGBgZQlQgKtKjLzs4OIUBnFuikNzpbSdA60ClxlpaWBNURqwAUZ+TEJ7Hmj6obDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgaEARheXDWAscXJyMoCu0Zw8eTLDx48fGXx8fMDXQs6fP5/h6dOnDHPmzBlA141aPRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITCSwejisgGO/WXLljG0tbUx7N69m2HBggUMoFO4jIyMGDZv3swwkCeUDXCwjFo/GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNggMHo4rIBjgB+fn6Gzs5OMAadXga69pKJiWmAXTVq/WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBIB6OLywZRCgAtNBtEzhl1ymgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAIBqNHZI3gyB/1+mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAowAVGF5fhCplR8dEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBjBYHRx2QiO/FGvj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGAC4wurgMV8iMio+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAIBqOLy0Zw5I96fTQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgI4AKji8twhcyo+GgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIxgMLq4bARH/qjXR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDABcYXVyGK2RGxUdDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2AUjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwAgGo4vLRnDkj3p9NARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEcIHRxWW4QmZUfDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEYwYBlKfu/vZ2BYvXoouXjUrSM5BE6cYGCwsBjJITDq99EQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BoQyGzMllISEMDDIyQzmoB6fb378/y3DuXPrgdNwQdxVoYZml5RD3xKjzR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGLBgyJ5eNnlhGmzS6atVdhvDwWQx3786kjQWjpo6GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMSTBkTi4bkqE76ujREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYomB0cdkQjbhRZ4+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMgtEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAVqC0cVltAzdUbNHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgiILRxWVDNOJGnT0aAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgK0BKOLy2gZuqNmj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwCgYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BIQpGF5cN0YgbdfZoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAjQEowuLqNl6I6aPRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAkMUjC4uG6IRN+rs0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQoCUYXVxGy9AdNXs0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNASGKBhdXDZEI27U2aMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIUBLMLq4jJahO2r2aAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDFEwurhsiEbcqLNHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERsFoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhgAtwejiMlqG7qjZoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMETB6OKyIRpxo84eDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BWoLRxWW0DN1Rs0dDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2AUjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwBAFo4vLhmjEjTp7NARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEaAlGF5fRMnRHzR4NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYEhCkYXlw3RiBt19mgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCNASjC4uo2Xojpo9GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCQxSMLi4bohE36uzREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RCgJRhdXEbL0B01ezQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BIYoGF1cNkQjbtTZoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMApGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOAlmB0cRktQ3fU7NEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBiiYHRx2RCNuFFnj4bAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGAC3B6OIyWobuqNmjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2CIgtHFZUM04kadPRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaArQEo4vLaBm6o2aPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAEAWji8uGaMSNOns0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARoCUYXl42C0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BDMCCITIqMGxD4MePHwzPnj1D8d/Lly/B/Hv37oFpGMHMzMwgLy8P447SoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAiMMjC4uG0ER/v37dwZNTU2GX79+YfhaWVkZRczb25thy5YtKGKjnNEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYGRA0avxRw5cc0gKCjI4O7uzgA6lYyQtyMjIwkpGZUfDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwjMHo4rJhHLnYvBYdHc3w798/bFJwMXZ2dgZ/f384f5QxGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMPLA6OKyERbnoEVjnJycOH3NwsLCEBAQwMDDw4NTzajEaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwPAHo4vLhn8co/iQg4ODITAwkIGVlRVFHMb5+/cvA+h0Mxh/lB4NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYFRMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAywejishEY71FRUQy/f//G6nPQiWVubm5Y5UYFR0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEYOGF1cNnLiGu5T0OIxQUFBOB/GAJ1mFh4ezsDOzg4TGqVHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERigYXVw2AiOehYWFAbSIjI2NDcX3oNPMQKeaoQiOckZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGJBhdXDZCQWRkJMOvX79QfC8qKspgZ2eHIjbKGQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBiZYHRx2ciMdwZbW1sGSUlJuO9BV2LGxsYyMDMzw8VGGaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIjF4wuLhuhcc/IyMgQExPDALsaE3QlJug0sxEaHKPeHg2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREEADo4vL0AJkJHFBi8lgV2PKy8szmJiYjCTvj/p1NARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYAHjC6uAxP4Ax3KUNDQwYVFRWwNxMSEsD0KDEaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgIgMLq4DBQKIxjHxsaCfR8REQGmR4nREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAAgdHFZaBQGME4OjqawcjIiEFDQ2MEh8Ko10dDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2AUjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCKADFnSBkc5fvZqBYdWqkRQKygw8PN0MoaEjyc8MDP39DAwyMiPLz6O+HQ2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQFSwOjJZWihdfUqA8POnWiCw5wrJuY0zH2I8N6nTwwMa9YwMHz8iBAbZY2GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAhggtGTyzDDBHyiFegEMyxSo0JDPARAiwd1dIa4J0adPxoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgJ0AKMnl9EhkEfBaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDDUwurhsqMXYqHtHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOADmB0cRkdAnnUitEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBhqYHRx2VCLsVH3jobAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjILREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BOoDRxWV0CORRK0ZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2CogdHFZUMtxkbdOxoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAnQAo4vL6BDIo1aMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsAoGA2B0RAYDYHREBgNgdEQGA2B0RAYDYGhBkYXlw21GBt172gIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCNABjC4uo0Mgj1oxGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCQw2MLi4bajE26t7REBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RCgAxhdXEaHQB61YhSMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIDDUwurhsqMXYqHtHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkOADmB0cRkdAnnUitEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBhqYHRx2VCLsVH3jobAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjILREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA0BOoDRxWV0CORRK0ZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2CogdHFZVSOsa1btzLMnTuX4erVq1Q2Gbtx27ZtY1ixYgV2SRyix48fB7vx5cuXOFSMCo+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMdDC6uIyKKeDjx48MoaGhDCkpKQzV1dVUNBm3UV1dXQylpaW4FWCRWbZsGdiNt2/fxiI7NISOHTvG0NLSwjC6QG5oxNeoK0dDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGwWgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMPTC6uIyKcbZy5UqG79+/M/Dx8TFs376d4e3bt1Q0fdQo5BA4fPgwQ21tLcPz58+RhUfZoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAlQCo4vLqBSQIGMWLFjAICYmxlBfX8/w69cvhlWrVoGERzGWEPj37x8W0VGh0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgcECRheXUSkmbt68yXD8+HGGiIgIhqioKAYmJiaGxYsXY5geHh7O0NbWxgC61hHEFhUVZdDW1mbo7OxkQF5wBZIjRh2yBXV1dQy2trYM9+7dQxYGs+Pj4xnc3d0Z/vz5A+YTSxw4cIAhOzubQU1NjUFWVpYhMjKSYcaMGQx///4FG0GKndevX2fw8vJiAPmZm5ubwdTUlGHt2rVgc2BEXFwcQ0xMDIwLpzs6OsB+A7k/LS0N7AaQZFJSEkNeXh6IOYpHQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEqAhGF5dRKTAXLlwINgm0OEpCQoLBwcEBvNjszp07YHEYsXfvXoZ58+aBF1mBTjcDLZTi4uJiqKioYACxSVUHUw+iNTQ0GI4cOcKwevVqEBeOHz58yLBo0SIGQUFBBhYWFrg4Icb+/fsZXFxcGFasWAFemJaSksLw+PFjhszMTIbKykqwdmLtBLkLtJgMtMAsPT2doaamhoGZmZkhJCSEobm5GWwWiDh79iwDCIPYyPj27dtgv4EW4IEWuklKSoKlQWwVFRUwe5QYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQoB4YXVxGhbAELXgCLd7S0tJiMDY2BpsIOsEMxFiyZAmIQsF3794FX525fv16htbWVoaTJ08yODo6ghedIS+sIlYdzHB/f38GHh4ehjVr1sCEwDTsdDBsJ4KBFeAgli9fDl6MBnLH5MmTwW7es2cPA2hh1+bNm8G6iLHz////DPn5+Qzs7OwMR48eZWhpaWGorq5mOHz4MIOTkxOYf+vWLbB5xBAlJSUMIHtBakGL8kZPLgOFxCgeDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNAeqC0cVlVAjP3bt3Mzx9+pQhNjYWblpQUBADKysrA7bFZQICAgwFBQVwtaArNKuqqhhAi7B27doFFydWHUwD6KrJwMBAhjNnzjA8ePAAJgw+yUxERAR8+hhckAhGUVERw+nTpxlA7oApB522BuJ/+vQJLESMnefOnWMAYdBCMikpKbA+EAEKn4SEBAaQmaAwBImN4tEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHBAUYXl1EhHhYsWAA25dGjR+BTuEAnc02fPp1BTEyMAXTq17Fjx8DyMEJVVZWBkZERxgXT2traYBqkHsxgYGAgVh1MPYiGnU4GO70MdI0l6GS08PBw8GI3kBpiMejKS9BisN7eXvD1lSYmJgyysrIMoKstkc0gZCfoSkuQent7exCFgo2MjMB8Uk4uA2sYJUZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2AUjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCNAUjC4uozB4P3z4wLBhwwbwYrGZM2eCr46sr68H08+fPwebvnjxYjANI0DXSsLYMBp0AhiIzcHBAaLAmFh1YMVQwtnZmUFCQgJ+NSZokRnoRLTo6GioCuKp7u5uBhkZGYbm5maG379/M7i4uDCAFtJZW1ujGELIzjdv3oDVKygogGlk4ufPn2AuMzMzmMZFvHv3DpfUqPhoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIYADcDo4jIKA3XFihUMP378YAAtLPv79y8DMgaJCwkJMaxatQp89SPMqjt37sCYcBp2jaW6ujpcjFh1cA0MDAygRVoREREMp06dYgCdWrZ69WoGZWVlBktLS2RlBNmvX79mqKioYODn5webs3HjRoaOjg4G0LWbIH8hG0DITkVFRbDyw4cPg2lk4vjx42CukpISmAad6Pbv3z8wG5m4efMmMneUPRoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjIUBjMLq4jMIABp3kxc7OzhAaGophEisrK3gxFujUrW3btsHlQVdAwq6KhAnOnz8fzDQwMADTIIJYdSC1yBh0TSXotLIJEyYwnDhxgiE2NhZZmij2w4cPGUCLvIKCghh4eXnhekAL1i5cuADnwxj47DQ0NGRgY2Nj2L17N0w5nD5w4AB4QZy7uztYDHS6GWihHeikNLAAAwPD1atXGbAttIPJj9KjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjYDQERkNgNARGQ2A0BEZDYDQERkNgNASoD0YXl1EQptevX2c4efIkg4+PD4OAgABWk8LDw8HiyFdjgk43CwgIYFi/fj144RTo2slJkyYxhIWFMdja2oLVgwhi1YHUImNjY2MGDQ0NBtDiMpB4XFwciMLAPT09DBkZGVixqqoqAw8PD8PKlSsZNm/ezABaDAdaSGdlZcXAx8fH8OXLFwbk08Tw2SklJcWQk5PDcP78eYasrCyGK1eugPWCrg8FXdsJWpgGsg/kQHNzc/ApbwkJCQyghWdz5sxhAIUV6AQ1kDwMy8vLg5mzZs1iOH36NJg9SoyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAhQD7BQz6iRZxJosRXI16DFUSAaG3Z0dGQQERFh2LJlC8P79+/BSpydnRmkpaUZQkJCwKeDgQQdHBwYpk2bBmLCMbHq4BqQGCA31dTUMLi5uTHArqVEkgYzQVddghlYiClTpjDMmzePISkpicHPzw+sAnTFZ39/PwM3NzdDfHw8g46ODgPyCWP47GxvbwdfGTpx4kSG6dOng80DEaDFbSAxEBuEi4uLGUBXZS5btowBhEHhBDt5DXQtJ0gNCLu6ujJYWFiAzQIt8tu/fz9IeBSPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIUAkw/gfdn0imYbCrIFevXk2mCYNPW0MDA8OqVQwM167Rxm2ghWampqYM27dvBy82O3PmDHihmZaWFoqFxKpD0YTEAZ2KBrrScu3atQwgGkmKJObbt2/BJ45JSkoygNzIyMgI1g8SBy2WU1FRAfNBBDF2vnr1igF0rSboKlE9PT0GQUFBkFYM/Pr1a4anT58y6OvrM8DsxFDEwMDw7Nkz8LWdyFd3YlMHE7t6lYFBR4eB4coVBgZtbZjo4KNBfgadGgc6zW7wuW7URaMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCIwCsHj25bABjGbSwCnQCFyEnEKsO2Zy5c+eCF63BTh1DliOFLSwszODi4oKhBSQOwsgSxNgpJiYGPk0NWR82tqioKAMIY5NDFgNduYnMH2WPhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIUAeMLi6jTjgOGlNaW1vBJ35t27aNYdKkSQwsLLSP4oGwc9AE+KhDRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2CYAtqvPBqmAUeut0DXS4KuvCSkn1h16ObMmjWL4cuXLwwpKSkMaWlp6NI04Q+EnTTxyKihoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAnAwurgMHhT0YVy+fJkoi4hVh27Yw4cP0YVozh8IO2nuqVELRkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYBSMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwAgHTCPc/6PeHw2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQwAJGF5dhCZRRodEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBjpYHRx2UhPAaP+Hw2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BUTAaAqMhMBoCoyEwGgKjITAaAqMhMBoCWMDo4jIsgTIqNBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAiMdjC4uG+kpYNT/oyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhgAWMLi7DEiijQqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITDSwejispGeAkb9PwpGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQEsIDRxWVYAmVUaDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEY6GF1cNtJTwKj/R0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDAAsYXVyGJVBGhUZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERsFoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwEgHo4vLRnoKGPX/aAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIYAEsWMRGvNCTJwwMoaEjPhiGZQB8+jQsvTXqqdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RCgOhg9uQwtSLW1GRjc3dEER7nDJgT4+BgYQkIYGPj5h42XRj0yGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwCkZDYDQERkNgNARGQ2A0BEZDYDQEaAJGTy5DC1bQiWUgjCY8yh0NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYERBUZPLhtR0T3q2dEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHRECAOjC4uIy6cRlWNhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAiAKji8tGVHSPenYUjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCBAHRheXERdOo6pGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgRIHRxWUjKrpHPTsaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgLEgdHFZcSF06iq0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYFRMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwosDo4rIRFd2jnh0NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDQHiwOjiMuLCaVTVaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjCjAQqlv16xZw8DIyEipMaP6R0NgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2A0BEZDYDQERkNgNARGQ2AUjIbAaAiMhsBoCIyGwGgIjIbAaAgMIsD4/////+S65/jx4wyPHz8mV/uovtEQGA0BPCFgZWXFICMjg0fFqNRoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgI0AyspmhxGc2cNWrwaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAQILVTANp+6jdoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCgxOMLi4bnPEy6qrREBgFoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITCgYHRx2YAG/6jloyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMDjB6OKywRkvo64aDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BAQWji8sGNPhHLR8NgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGAWjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAoMTjC4uG5zxMuqq0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGFAwurhsQIN/1PLREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYnGB0cdngjJdRV42GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAKBgNgdEQGA2B0RAYDYHREBgNgQEFo4vLBjT4Ry0fDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2B0RAYDYHREBgNgdEQGA2BwQlGF5cNzngZddVoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAgMKBhdXDagwT9q+WgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCAxOMLq4bHDGy6irRkNgNARGwWgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAgILRxWUDGvyjlo+GwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsBoCIyGwGgIjIbAaAiMhsDgBCwMDAyrB6fTRl01GgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEwGgKjITAaAqMhMBoCoyEA2ACFwAkAQhjY+lF9DwcAAAAASUVORK5CYII=", + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "cmap = backend.coupling_map\n", "\n", - "# Custom SabreLayout passes\n", + "# Custom SabreLayout passes with more aggressive search\n", "sl_2 = SabreLayout(\n", " coupling_map=cmap,\n", " seed=seed,\n", @@ -214,21 +275,77 @@ " swap_trials=200,\n", ")\n", "\n", - "# Create pass managers and customize SabreLayout (index 2 in the layout stage)\n", - "pm_1 = generate_preset_pass_manager(\n", - " optimization_level=3, backend=backend, seed_transpiler=seed\n", - ")\n", + "\n", + "# Same condition the preset uses: only run SabreLayout when VF2Layout did not\n", + "# find a perfect mapping. This preserves any perfect layout VF2 produced at [1].\n", + "def _vf2_match_not_found(property_set):\n", + " if property_set[\"layout\"] is None:\n", + " return True\n", + " return (\n", + " property_set[\"VF2Layout_stop_reason\"] is not None\n", + " and property_set[\"VF2Layout_stop_reason\"]\n", + " is not VF2LayoutStopReason.SOLUTION_FOUND\n", + " )\n", + "\n", + "\n", + "def wrap_sabre(sabre_pass):\n", + " \"\"\"Re-wrap a SabreLayout in the original ConditionalController + barrier.\"\"\"\n", + " return ConditionalController(\n", + " [\n", + " BarrierBeforeFinalMeasurements(\n", + " \"qiskit.transpiler.internal.routing.protection.barrier\"\n", + " ),\n", + " sabre_pass,\n", + " ],\n", + " condition=_vf2_match_not_found,\n", + " )\n", + "\n", + "\n", + "# Build two fresh pass managers and swap in the wrapped custom SabreLayout at index 2\n", "pm_2 = generate_preset_pass_manager(\n", " optimization_level=3, backend=backend, seed_transpiler=seed\n", ")\n", "pm_3 = generate_preset_pass_manager(\n", " optimization_level=3, backend=backend, seed_transpiler=seed\n", ")\n", + "pm_2.layout.replace(index=2, passes=wrap_sabre(sl_2))\n", + "pm_3.layout.replace(index=2, passes=wrap_sabre(sl_3))\n", "\n", - "pm_2.layout.replace(index=2, passes=sl_2)\n", - "pm_3.layout.replace(index=2, passes=sl_3)\n", + "# Visualize pm_3 after replacement (pm_2 has the same structure, only max_iterations differs)\n", + "pm_3.layout.draw()" + ] + }, + { + "cell_type": "markdown", + "id": "378a5829-b18b-4359-827f-b052c7cc1b89", + "metadata": {}, + "source": [ + "Position **[2]** is now a `ConditionalController` again — identical in shape to the default, but the inner `SabreLayout` is our custom one (with `layout_trials=200`, `swap_trials=200`, and `max_iterations=8` for `pm_3`; `pm_2` is identical apart from `max_iterations=4`). The protective barrier and the `_vf2_match_not_found` gating are preserved, so the only difference from `pm_1` is the SABRE configuration itself.\n", "\n", - "# Transpile and collect metrics\n", + "**Step 2c: Run each pass manager and compare.**" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "fd52f8dd-862b-46e2-b93d-0b35f47a3d83", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pm_1 (4,20,20): 2Q Depth 38, Size 187, Time 0.01s\n", + "pm_2 (4,200,200): 2Q Depth 36, Size 184, Time 0.15s\n", + "pm_3 (8,200,200): 2Q Depth 30, Size 157, Time 0.18s\n", + "\n", + "Improvement vs. default (pm_1):\n", + " pm_2 (4,200,200): 2Q depth +5.3%, size +1.6%\n", + " pm_3 (8,200,200): 2Q depth +21.1%, size +16.0%\n" + ] + } + ], + "source": [ "results_sim = {}\n", "for name, pm in [\n", " (\"pm_1 (4,20,20)\", pm_1),\n", @@ -272,14 +389,15 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 6, "id": "bf75c45a-2c3e-4ef6-8336-0b3f69e6e8fb", "metadata": {}, "outputs": [ { "data": { + "image/png": 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", "text/plain": [ - "\"Output" + "

" ] }, "metadata": {}, @@ -397,10 +515,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "a91b9887-c8cf-48fd-a6fb-a5506d201f8d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Run 1/10 done\n", + "Run 2/10 done\n", + "Run 3/10 done\n", + "Run 4/10 done\n", + "Run 5/10 done\n", + "Run 6/10 done\n", + "Run 7/10 done\n", + "Run 8/10 done\n", + "Run 9/10 done\n", + "Run 10/10 done\n", + "pm_1 (4,20,20): mean fidelity = 0.9341 +/- 0.0082\n", + "pm_2 (4,200,200): mean fidelity = 0.9381 +/- 0.0059\n", + "pm_3 (8,200,200): mean fidelity = 0.9497 +/- 0.0071\n" + ] + } + ], "source": [ "# Create a noisy estimator from the real backend's noise model\n", "noisy_estimator = AerEstimator.from_backend(backend)\n", @@ -453,14 +591,15 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 8, "id": "a6dac5ed-a963-458a-ada1-89c915f036e0", "metadata": {}, "outputs": [ { "data": { + "image/png": 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ffzb4nhdnnnmmKSEhwXL/5ZdfVvPJ/qWprKw09ezZ0+n6PJbGfi8J2c7H8xmR/7H/zrF+zPo9Wu9vslxyvDga7Tvd0Xz2xyRnnzlZb/IcvXr1stlec+bMsfnu2LRpk7ov+++xZGRkqHlfeOGFY85LRESuT463cr1hfVzRzvd+//13y7Tt27eraffff7/N/8s1l0y//fbbLdPk3ESmyfmGteLiYlNMTIzDY1VISIgpOzu7wfKVlZU5PJZ2795dHd+sDR06VF2H7tu3z+bYP2rUqAbXP3JtI9PkfNqaXJvJtVNcXJzlfMoZ7RzW0XWVTLdep8nJySadTqfO0a3PJTdu3KimW19viHPOOUddQx48eNDmedevX6+ujaxfU7tesT5f0tar9bm5o2n21xW//fabzfSnn35aTZfzcmr9WB6BqB2SZiyS2WU9SHN+e5dccon61VOj/bonmbaNIU1crLPQ5NdaeQ7JFrQnGZDW2XaSSSpNOrTXkgw1yUKVJtLWHclIiQMti+1oJFtLXlvej2SdaoO8rjy3/HpsTTIerX8JlUxYIb9YW9fnlOnya6r8oilkXUqWk2SzWb+O/Pop8zrKQrOvPSnL2dh17MgPP/ygmhTLL8j2tGbq0oGc/CIuy6mRLDvJ6pNMXWmmZE1+xXeWyWa//PIrtzQlkl/XrdeBvJ5k5B4rE68p+01jyH4j20hKY0jmgUayAmQfkybW1iRrQbazRrINJdPOeptIFoBkLVuXC2kM+UVf9h/JrNVIhqU0q5fPm/XzS1aENH/+t2Rby2tKhrFG9kfJzvu35PMoZQA0sp5kP5fXbC7yXJJdLxkVGsle1LJ0j0bWo2SEHm9ZCet9UTJTZT+WfVGy5yWDpKn7jXw2JavF0brXPpvyXSXfPZIxYv35kWwKeY1jfX4km8X6e9t6m2uZs/L5lBYEkhUqWTPWny3JnpVltN5H5XMo69B6H5XyNbLtrTNapNmgfK6OV1O/l5qbZPo66sBQqy8njzeG9WfteEn2kHWms/3xVzs+SSaN7I9Ho+0P9i1siIiodZJzbbnesG41JWV55FzduvWfZNfK+YNkolqXg5MsW2H9/1LWrGfPnmp+6/MPOYfWyuzYHwel9JqUR7Jnnd0pxyg5N5FbOceQFk/S+kcrHSbn0tIizDpzVY799q3+tGWUFply/mm9jLIupIyDlEpqjnNn67JJEsuVbFvrTFZpxWjf8k2uV6S1i5wXyXmD9fJJK0u5Zv3f//6H5iQZy3JuKFnXGlle2QekpZfWUohaN5ZHIGqH5Au8MR2RSQkBRxd+jamrKOTA9fTTT6t6S9b1Jx3Vn7V/Le31tNeSpihyoiAHPHuOptmTA7g0X3cWeLSvM2S/PNoFstbsx366tpzaiYKclDgiQUJrclC3Xybr9308pJ6iBFmPRmpRSgDVOohp3TxIHrcmzZSdsX9M1oGcMMjzO3Ks2pJN2W8aQ3svPXr0sJkuARE5QbR/r9Lk2v61ZJvI/qORZu8SDJbPkux/0qxLTpyk+djRSDBMmupLsy+pjSokOCZBVa2JlpBmTnICK7XApHaWNFeT5mBHK4txtPcvQU/7jiHs18fxcLSNZZnl/TUXWX5Zx/bbpDHLL+VWZFnkhx0JMMp2kh8TZH02hgTOH330UVUWQbvA0NjXDW3MfiOfTVnuo3XMJp8feW5HF0GiMTXRtDIl9qQJnZRfkYCzNIN09BmWZZPvDyl1IJ8/CWLKxaHMbx20le0iP7TZv+fGfB831/dSc5MgvaNayVL6Q3v8WGT9yb7wbx3r+CvbTC4iX3nlFXUxLkFduVCUHw7sm15q+8PxfocSEZFrkSCdXD/I8ca63rmc58iPvxIolHNOLTArP37Keas8LscECX5qAV2NBFPlWuto5Ybkea2vheScz9m5ipw/SdDT0XmLBFnlmkjKPzk7p3M0TZZRfkR3VoJLCwQ7W66m0n4olWC2Panjax2EldJrEhiXbWMdRLXW3J3Eybm9/NAtJbWkFJ1sOynjJ8ttX/qPWi8GbYnIKWe9ZDsLCFhbvny5uoCUWjzSAZQEjSRYJ7VRHXXW9G9eqzHkICq/iD7wwAMOH7c/uDtbnmMtp/YrttRclIwxe/bBmqb2RN5SjhassH9M1oEEByR729H7O1qvsk3db06ExuyLEkSSkzMJMEvGoWRQyvJKvVNHHY1Zk5qgkkUnQWmpqyVBRQnkaifXQt6/BPjkZFdOCKUWqXT49c4776h6sCeKbDdHnzn7jrdaCwl8ynqWbETZH2WQfUkyQ+w73XN0QSE1iOWiQoLoEqCUH1kkK1WC9tYZK835HSbPK8vtrJOLY9VulRrgjn70kQs0qQ0r2Sn333+/eg1ZZqmdbN0JmraPSk1bWV8yv+yjcsEiGfxtmXzfSCazbDPrAKfU7RXWrTyckSC3fdD5aAFT+Ww52ncasz9JAF62qfY9IRflsj3XrFljEzjW9gfr7xgiImqdJNCpHaucBSflmC8tzIQE9aT+u2TXStBWMmYlqKfV+tfI80l2pvwY6Iz9OYijuu3yPPI6EmCVbFlJFJIfE+W4pp3P259DNZY8tyzD0a4JJNmhJWjHZ/nx1Fm/EY358beppOWZ1B2W7SvbWQLGci4iyR7UNjBoS0T/irMLUQliSYBDgiXWzU3lYH08JMAgz2ffe7ZwNM2eBFykea19j+rNTSvxIMvbXK/V1OwoWQZpcn800imAZADKSZN1gEFr8q31rHo85PXlxEUywZr6S3dT9pvGrhftvUiQ1foXbmnuJSe+x7udpOmXZB7KIM8lmbLSAZt0bqc1p3ZEgmDSEYLW/HzPnj3qf+xJZ28S3JVB9l0J5EoHZU0N2sr7l46v5DmsA+ayPuxJNp+j0hzOMhwdNUGT92Pd2d6/3adl+WV/tg+kOVp+RySjWprMySD7u2TfSkBSOspzlMGrkUwFac4nWaay7jVaVsjxfjakIynJWnWWcS7zSDaMZG0fz8m9BFcl4CvZutYZl9Ixmuz/8n6s37N9p3hC3q8EMGUflQ61JNPYvndi2S5S1sN+uzTm+7glvpcaQ35EkR9I5EJTMmg0Wudf8vjxks+W/BDg6LP1bzJv5AJbBsloks5jZL+RH3ektYL9Pnu0jlaIiKh1kHNiOfZKoM5Rx75yPJDm8VrQVn6wk9IJ0jmYnAtKcE+OsdYlnYS0dJFsTWkt6OjHx8aS4/iWLVscJjLIMdaadr7o6JzO0TRZRjnPHDFixFGTQJqLdnyW8xD7TnPlHMiadk4p1wTNeb15rHNmCYpLp2QSrJXOz+RaSq41rDuNptaNNW2J6F/RahbZX4zKr6lykLHO0JM6Q9ID+fGQ55MDoPx/RkaGTYDAUT1ee9IkevXq1SoYaE+WXWo7NgfpzVsy86SXT+vmxxo5GWoq7VdsRxf8jkjTZjlZkpMzZ78Cy8lbVlaWTd1KWQdvvPGGOgmSDMPjJcFL2V5yomafZSj3JRDmTFP2G9n3GrNOZL+RwN3rr79uszxyciOBLa3X3Kawfw/y/BLkked3tN2tyQm27CeSvfj111+r/5WTq6M9v2wTORm0brotyy4nkfbN9O3JtpZtKz3XamT9yra2Jyek8pzW+6nsS8568JXtotVzFuvWrVMBrmPVmW7sttOWXz7zEnTUSF20995775j/a78e5SJEKzGhrcujfYcJ631GTsQlo/p4yWdTmha++eabDR7TXke+q2T7aOUzrMl2PNZ6k16L5bk2btx4zPcj20q+F+3JepIawvPnz1etBuR1rUsjCNmHZdv/8ssvNmUE5CLSnrxn2a+OVXv1RH4vNYaUJJFguvU2lvUlQVAprzFq1Kjjfm75bEkGrOxDGsnUP3jw4HE9n5TrsD9uSfBWtp19iQfZF+R7VfYNIiJqveRHTWkKL9/38iO+HKvtB8ms3bZtm02/C5L5KcdgycCV8gnS+tC+9Yi0QpJjsLNMWyk70BiOzjeE/ABvf20irRIl6CgtRqyTBuRces6cOQ2eW5ZR1oGjZIemLGNjSes/OX7KOrG+NpFWV/IDu31LJzmPkR/H5XhvT9bH8VwHasFp6YvAGelPQH5wlj4T5FzsRLbKo5OPmbZE7ZAEOe070RFyQdrUjB+tFpI0y5SLeDlQS9NaCYTJAU5qR0qtT6lnJB2gSeDJusZjU0iWoTQBlUwi6ehFDp4S/JBmMNIE+mikObAEF8466yzVnFSWWzookpMaCQZJYLA5mo5KwFaCY9IkRYrUy7qQZjzp6emqwytZdkcBm6ORbDsJCEogQzJX5ZdTec/Omv/Ie5X3JJ2pXXfddeq9yoFe3r8EH6SJszSlkWxDWRdyQS+/dMv/SHBOaiBJkf9/E5yQLC85oZL1KgFJeT7J9pKTNXnt++67z+H/NmW/kfclJ0wyv5x4Smav1mGcNVn/siwSRJbnlRMw+fVeAjNDhw5tkGnQGNLsS040ZXtKXS05UZLtKsvfmHUnATB5XVkG+dzYZ0rI9p4wYYJ6j7K9N2zYoLbP9OnTLfPIupQsXMm4kO3ojGSYynI+9NBDanvIc8sJpaNgr+wvsj5lmeTXeln/ss9I3TP7mq5CtotkYsrnUQJFsu/ISauzMiRN3XbaiaisWzlRl31VMkAlkOioSZ49OWmVfV+yRqS5uGQ1SgBQMia1rEMZl+8taSYo60QyvGV++T6U7EitFpyctMvr/puSLfIeJMNFapFKgFvqkMr3kKwLyQCWoKEEJiUTW5q5y/ea7GsSSJSsZrnQkosY607Z7Mn2kG0gz2ldW1u++2S7SweFsp/K51G2rewPknnjaB+VdSWZuHJxaJ+lKcso20UuDqX5o2wXyfDVssytM0NkPvn8SXNO2a+dOVHfS/LdoQWX5Yc+2c5aJqp8H8pnRMg+IplJL730krpglO8H+WFCyrbIe/s35WxkX5T3It9BEpiXkhRy8WyfudNYkv0s3wfyPS/HBQngyv4py2hf01w6kZPvANkviIio9ZLrIPmxT87RnJFjgFwzSXKCHMeEHPflGCDlneR8zlHzfTmWy/FCriPkGCPnEHJdI9cw0mJLju/H6gxVyPmCnDe++OKLKlAstWklO1aO73I+Yf+j8uzZs1UQWc675FxIWglJYoP2I6f1+YSc/8i5r5xXSOBUzm3k+k06B5YfoeUY/286c3bUeum2225TryfrQ9atnBvLfTl/2LRpk838cg0o52HSYknO+SQDVoLMskwSmJZpsm2aQs7T5PxHrhnk3FeuGaRFp/U53hVXXKG2m5xXyDm1lF2jNsRERO3Gxx9/LNEGp4M8LlJTU9X9l156qcFzyPSZM2da7tfV1Zluv/12U0REhEmn06nHNR9++KGpW7duJi8vL1PPnj3V88v/2n/1yP3bbrutwWt16dLFNG3aNJtpixYtMg0cONDk6elpSkxMNH3wwQeme++91+Tt7X3M/y0tLTXNmDHD1LVrV/X/4eHhplGjRplmz55tqqmpOep7X7x4sZr+3XffOVyn69evbzD/6aefbgoKClLLJst6zTXXmDZs2GCZR5bPz8+vwft2tI5WrVplGjx4sFpu+23gSH5+vmn69Omm6Oho9T+dO3dWr5eXl2eZJzs723Tttdeq9SDz9O3b17IPaI62L2jLmZub63AZfvjhB9OYMWPUe5RB9gHZzrt377ZZB7KtrDV2v0lOTjaNGzfO5OPjox7Ttre2TWTZrb355pvq+Tw8PEwdOnQw3XLLLabCwkKbecaPH2/q3bt3g/div5zvvvuueu2wsDC1nLJ977//flNxcbGpMUpKSizL/fnnnzd4/OmnnzYNGzbMFBwcrOaT5X7mmWcs+6n1+7TfZs72h6uuusoUGBio9kkZ37Rpk8P/l+VJSEhQ+8SAAQNMf/75Z4P3b71fvPzyy6aYmBi1HsaOHWvasmWLzfM1Zds5c+DAAdM555xj8vX1VfvrnXfeaVqwYIH6X/msaeyX8/vvvzeddtpppsjISPV+YmNjTTfddJMpMzPT5vnff/999Z7d3NxsnnPlypWmESNGqOWMiooyPfDAA2p92L9uY/cbUVFRYXrkkUdM8fHxal/s2LGj6T//+Y9p3759NvO999576jMvrx0QEKA+n/L6GRkZpmO544471PecNaPRaHr22WfV8si2ku/RX3/91eEyavPLdpX3KvujI/v37zdNnTpVLaMcA+S7WD738j9r1qxpsA9YrzNnGvO9JGSZ5bX/7bHPft8zGAyW9SSvL9vV0WfUEWff6Rr5rMh3sqz/0aNHq+OB7DsyHOtYo33mtHUh6/66665T3z1yjAkNDTVNnDjRtHDhQpv/KyoqUu9DjpVERNS6yfmCHAu2bt161Pm6d++uzvfknEMj1wXyv3IuaD3dWm1trWnOnDmmIUOGqHMuGeR84vLLL1fnP/bHKmfnoGlpaWpZ5Vgu5whDhw41/fjjj5bzAftzdLm+Gz58uDo+yjm6nMfIeYTM+8ILLzR4/k8//VRdY8j5kfyPHLPPP/9809dff33MdagdTx1dSzk7L5DzIDmHtD4vcPZe5Lrovvvus1zLyHbo06ePek87duxocG5ifW7kbL3+9ttv6rxNnk8etz5v0Mg5gTz25JNPHnMdUOuikz8tHTgmIvo3JJNTenl3VF+TiByTrFv5Nf5YmbrU+khGh2SHSKuKk51tIRmxd999t8p6kZIC1LJke0i2k2T2nogOUIiIiE4Eqc0qmbVfffWVarlIRydZylI6TM7vrTsjpdaPNW2JqFWprKy0uS+B2t9///2oTW6JiNoTKXMjTSeff/75k/p9LHXUpPmjdBTCgG3LkxIPUoJEOqVhwJaIiFyR5BDK+YOj45e7uzuv8RpByj5JaQTpU4IB27aHNW2JqNUFIyQrUG6lPqXUDpKOnI5VQ5OIqD2x7njuRJFOB2NjY1VdYO2CQeqlS/1XanlSC1lqERIREbkq6ROhS5cuqi6r1L+VTmSlHw+pRy81eKUPCXJMOneTurpz585V/RM8/PDDXFVtEIO2RNSqSCcu0kxGejeVDoOkN+xnn31WZXYREdHJIx3WffDBBypIKx1DSmcZX3/9terEjIiIiKgxPzBKR2nSUVdmZqbKvJXgrXRELE3+yTnp4FQ6epXWTdJRmVwXU9vDmrZERERERERERERELoQ1bYmIiIiIiIiIiIhcCIO2RERERERERERERC6ENW0byWg0IiMjAwEBAdDpdCd2qxAREREREZENqXdZWlqKqKgo6PXMP2puvOYlInKt4xmDto0kAduYmJjm2j5ERERERER0HA4ePIjOnTtz3TUzXvMSEbnW8YxB20aSDFtthQYGBjbP1qF/9Stwbm4uIiIi+Ct7G8bt3PZxG7cP3M5tH7dx+8Dt3Pa5+jYuKSlRiTTatRk1L17zEhG51vGMQdtG0koiSMCWQVvXOKGsqqpS28IVTyipeXA7t33cxu0Dt3Pbx23cPnA7t32tZRuzXN2JXa+85iUico3jmeseiYmIiIiIiIiIiIjaIQZtiYiIiIiIiIiIiFwIg7ZERERERERERERELoRBWyIiIiIiIiIiIiIXwqAtERERERERERERkQth0JaIiIiIiIiIiIjIhTBoS0RERERERERERORCGLQlIiIiIiIiIiIiciEM2hIRERERERERERG5EAZtiYiIiIiIiIiIiFwIg7ZERERERERERERELsTlgrbLli3D2WefjaioKOh0OsybN++Y/7NkyRIMGjQIXl5e6Nq1Kz755JMG87z11luIi4uDt7c3hg8fjnXr1p2gd0BERERERERERETUhoK25eXl6N+/vwqyNkZqaiqmTp2KiRMnYvPmzbjrrrtw/fXX488//7TM88033+Cee+7BzJkz8c8//6jnP/3005GTk3MC3wkRERERERERERFR07nDxZxxxhlqaKx33nkH8fHxePnll9X9Xr16YcWKFXj11VdVYFa88soruOGGG3Dttdda/ue3337DRx99hIceeugEvRMiIiIiIiIiIiKiNhC0barVq1fjlFNOsZkmwVrJuBU1NTXYuHEjZsyYYXlcr9er/5H/daa6uloNmpKSEnVrNBrVQC1LtoHJZOK2aOO4nds+buP2gdu57eM2bh+4ndumytoiVNUVqXGj0YSSmkK4lZdDr9epad7uwfDxCIYraE3XYdJy9KWXXkJWVpZq6fnGG29g2LBhDuetra3Fc889h7lz5+Lw4cPo0aMHXnjhBUyZMsVmPnnswQcfxB9//IGKigpVGvDjjz/GkCFD1ONyfSStS99//30UFRVh9OjRePvtt9GtW7eT8p6JiKh5tfqgrRwEO3ToYDNN7kuQtbKyEoWFhTAYDA7nSU5Odvq8ctCcNWtWg+m5ubmoqqpqxndAx3vCVlxcrE5MJAhPbRO3c9vHbdw+cDu3fdzG7QO3c9uUVvYXDpQvtJ1YWD/axe8UxPmfCldQWlqK1kArzyctPKU/lddee00lFu3evRuRkZEN5n/00Ufx+eefq2Brz549Vam/888/H6tWrcLAgQPVPHJdK0FYKQsoQduIiAjs3bsXISEhlud58cUX8frrr6vgr7RGfeyxx9Tr7ty5U/XtQkRErUurD9qeKJKZKwdajQSBY2Ji1MExMDCwRZeNzBcN0lGdbA8Gbdsubue2j9u4feB2bvu4jdsHbue2KSBkKrrVjVbjxZUZWH/4fQyNvgFBPlEul2nbWgKPTS3P99lnn+GRRx7BmWeeqe7fcsstWLhwoSoBKMFcIZm3cj0qmbUaCcxqJJlFgsMSAD733HPVtE8//VQlK0nn3pdeeukJf99ERNS8Wn3QtmPHjsjOzraZJvclsOrj4wM3Nzc1OJpH/tcZLy8vNdiTACGDhK5BgrbcHm0ft3Pbx23cPnA7t33cxu0Dt3Pb4+cVqgZrErAN80uAq2kN12HHU55PyvLZB6TlWlb6atH88ssvKmv2oosuwtKlSxEdHY1bb71VBYe1DrqlFap16cCgoCCV6Suvy6AtEVHr0+qDtiNHjsTvv/9uM+2vv/5S04WnpycGDx6MRYsW4bzzzrNkCcj96dOnt8gyExERERERUduTl5fX5PJ8EoyV7Nxx48YhMTFRXav++OOP6nk0+/fvV/VppTXoww8/jPXr1+OOO+5Q17vTpk1TAVvtdexfV3ussf24yOtqr639UKPVtNY4my7T5DFn063fkzbdUb1iZ9MlIcu+bxNtWZxNb+yy8z1xO3Hf4+fpZH1HWM/XqoK2ZWVlSElJsdyXXww3b96M0NBQxMbGql8spQC7NPUQN998M95880088MADuO666/D333/j22+/Vc1PNHJgkwOZFGiX4u/SbKS8vNzSXIWIiIiIiIioJcyZM0dlzEo9W7nAl8CtXKtKOQWNBAPkevbZZ59V96XW7fbt21XpBbnWPR7O+nHZt28f/P39Ldm6nTp1Ui1VpU8RTXh4uBrk2lyurTXSmjU4OBhpaWkq61jTuXNn9Zzy3NaBVSnx4O7ururzWpPO0+rq6lQ8wDrQ0b17d/V6hw4dskyXwHVCQoJaPusAtZ+fnyopUVBQoILpGr4nbifue/w8tfR3RGM71tSZGhvePUmWLFmiiqvbkwPRJ598gmuuuUatCJnP+n/uvvtuVWBdVooUXJf5rElgV+u9c8CAAapAuzQVaSz51VE2nGww1rRtebKD5+TkqEL+raGZFB0fbue2j9u4feB2bvu4jdsHbue2L798PxamzMIpXWe6ZHmE1nBNJhfsvr6++P777y0tPbXr2aKiIvz8889O/1c6vM7Pz0dUVJSqffvrr79ix44d6rEuXbrg1FNPxQcffGCZXzJvn376aRVAkExcCfZu2rRJXe9qxo8fr+5LYLgxmbZaAENbv8xKZfawYEY0s7yZuY5mzbSV71sJ9B7reOZymbYTJkw4apqwBG4d/Y8cnI5GSiGwHAIRERERERGdKP+mPJ/UtZVatbW1tfjhhx9w8cUXWx4bPXo0du/ebTP/nj17VDBXy9ySbC95HS1oK0GBtWvXqo7NmtKPi9YvjDVniTJNnW7/vMczXYIgTZneXMvO98TtxH2Pn6fm+o6QfakxXC5oS0RERERERCdffsV+y60rZtq2Fscqz3f11Ver4KyUJxASWJVsWQm2yu0TTzyhAr1SAlAjLUtHjRqlyiNIMHfdunV477331KAFAO666y6VeSulBSSIKy1QJWvXOuOXiIhaDwZtiYiIiIiI2jlp7ZiSv0iNy2238MmNzgQiW5dccglyc3Px+OOPW8rzLViwwNJJWHp6uk1GlpRFePTRR1WJA6l/eOaZZ+Kzzz5TTWc1Q4cOxU8//aT6eHnyySdVUFaCwVdccYVlHgnySnD4xhtvVKUYxowZo15XMniJiKj1cbmatq6qNdRPak9YU6194HZu+7iN2wdu57aP27h94HZu2zJLtmFZ6mzL/XHx96JTYD+4El6Tcf0SEbUFjT2esQcnIiIiIiKidkzyeLZmfmczbVvWj0fta4SIiNqPr7/+GoMGDYKPjw9CQ0Pxn//8B/v27Tvq/0iLgzvvvFN1kigZ/3Fxcaq1gHUHiNakryqpsy2tPGRITk62PCbHI+njSsrOSJBTWiKcc8452Llzp2WeJUuWWP7X0eCojyxXx/IIRERERERE7VhW6XYUVR2wmVZYmaqmdwrs22LLRURELe/DDz/E9ddfr8alNEt+fr7qLHH58uXYsmWL6gTRngRmx44dqzpQlEBsz5491fjzzz+vgrFS7sVaZWUlLr/8ctTU1DhchlmzZqlBdO/eHaWlpZg/f75aBgn2SkBYgrnDhw+3+b/s7GykpaWp8U6dOqG1YaYtERERERFROyXZS9uyfmgwXQe9ms5sWyKi9kuCqA899JAav/DCC1Xt7V27diEgIAA5OTmqc0RHFi1apIK0QgK8mzdvxi+//KLuz5s3D6tWrWrQgaMEcy+66CKHz/ff//5X3UqGrzyvBGIlUCv1u7VlkEzgNWvW2Ay9e/dWj/Xo0QOnnXYaWhsGbYmIiIiIiNopyaaVrFp7Jhgt2bZERNQ+rV+/Hnl5eZagrYiKisKIESPUuHR26KwOvkbreNG6A8aFCxdaxiVj9p133sHtt9+uOmI82vPpjzyHVvLA/rmsSXD5999/V+P33ntvq+xck0FbIiIiIiKidp1l6+xCVsdsWyKiduzgwYOW8cjISMt4hw4d1G16errD/xszZoylHMEFF1yAgQMH4uyzz7Y8fvjwYXWblZWF//u//0Pfvn3x4osvOl2Oiy++WN1+++23qtSCZNmmpqbaPJe92bNnq+OcLPfVV1+N1ohBWyIiIiIionbIaKpDRW2+yqt1zITK2gI1HxERkeXocIyOKqWjMMmAlUCtn5+fKmdw3nnnqenCw8ND3d50002qPu2XX36pOitz5pVXXsHDDz+saupKoFgCwpMmTbJ5LmsSDP7iiy/UuGTwSl3d1ogdkREREREREbVDbnoPnNbtCWzK+AqHitdbpg/rfCOCfKLVuLd7oJqPiIjan5iYGMu41LC1H4+NjXX6v0lJSZY6tiIjIwNfffWVpcaskI7MpG6uVm6hrq7+R8LBgwdj+vTpeOGFF1RA95lnnlGD5vTTT7d5LmtvvPGG6gxNAsa33norWitm2hIREREREbVTvp5hKKkyNy3VHSmTEOjdCaG+cWrw9Qxt4SUkIqKWMnToUISFhVk6FNOCr9LJl5gyZYq6lZIFMrz55puW/5V5JHAqKisrVcarlhkrJROs69WWl5erQZtfVFRUWO5LKYQDBw5YHvvmm2/wv//9T41feumlNsssz/P222+r8WuvvRahoa33OMagLRERERERUTtVVVuMkuoMNR7gFdXSi0NERC7E09MTzz77rCVom5CQgF69eqmSBuHh4XjooYfUY7t371aD1mmZePrpp9U8/fr1U+UMfvzxRzX9pZdeQnS0uTWHlE2QUgva8PHHH9t0JPbaa6+p8Y0bN6rX7t69uyqRoAVqhw8fjjvuuMNmmT/88EMUFhbCzc0N99xzD1ozBm2JiIiIiIjaqZzyZMt4iE+XFl0WIiJyPTfeeCM+//xzDBgwQGXZ6nQ6lSm7atUqREU5/7Fv/Pjx6NixI/bu3avKHkjnZD/99BPuvPPOJi9DQkIChg0bpsoySMdjiYmJqsbtokWLbOrVGgwGS6BXllECvK2ZznSs6sGklJSUICgoCMXFxQgMDGzxtVJZW6QGZ3w8gtXQVkn6vHxYpRdAvZ6/PbRV3M5tH7dx+8Dt3PZxG7cP3M5t05r093CgcKUa7x5+Bvbk/WFT09aVritc7ZqsreH6JSJyre9bdkTWSu3LX4wd2fOcPt67w3no0/H8k7pMRERERETUumSWbLGMS8BWrDv0nmUaryuIiIhaBoO2rVRi2EREBQ5U4yVVGVh78F0Mj7kJgd7m1HRX+TWciIiIiIhcU2VtIWoMZWo8yDsGQztfh4KCQoSGhkCnM7dm43UFERFRy2DQtpWybqaUX7FP3dYaK1UPr0RERERERMeSU1ZfzzYqcABCfOJQ6+GLEB+WICMiImppLAbayklJ4pS8hWpcblmimIiIiIiIGiOnbJdlPNK/F1caERGRC2HQtpXLKt2OkuoMNS63cp+IiIiIiKixQVu9zg3hfl25woiIiFwIg7atmGTVbs36zmbatqwfmG1LRERERERHVVGTj7KaHDUe5psId70X1xgREZELYdC2FZOs2qLKAzbTCitTkVla3wMsERERERHR0erZsjQCERGR62HQthVn2UpWrc7BJlxz4B3UGqpaZLmIiIiIiKh11bONYD1bIiIil+Pe0gtAx59lK1m1jtQaK/HX3idwStfH4Onux1VMREREREQ2csqP1LOFOwoP+6FYlwmj0YjCwgIUFRmg15uTQ8LC/BEWFsC1R0REdJIxaNuKs2wBndxzOE9pdSYWpTyDCYkPwMcj+KQvIxERERERuabymlyU1+Sp8drScNxy18dO5502bTyuuWbCSVw6IiIiEgzatkJGUx0qavOdBmw1JdWHsSjlaUxIuB/+Xh1O2vIREREREZHryrYqjRDdoS8eeHmgGs/IKMTHHy/GtddORFRUiJqW0CG8xZaTiIioPWPQthVy03vgtG5PoKquVN0vqcrA2oPvYnjMTQj0jlIB3Y2HPkNVXaH6FV0ybscn3Idgn9iWXnQiIiIiInKherbJpb54ffNf9Q9ODcArORuAHPPdWwcMR49oJoAQERGdbAzatlI6nZvTx3w9wjA2/i6sTX8XJdUZqKorxt8pz2Fswt2I8Ot+UpeTiIiIiIhcq9RaTlmyGnfTeeK87pMwNrZG3V+xMwVzUtbhzq7DMCapq5oW4cs+MoiIiFoCg7at1L78xdiRPc9mmmTbanp3OA+Tuj6CZamvoKBiH2qNFVi67yWMipuOqMD+LbDERERERETU0spqclBZW6DGw/26oYN/MDr4mx9L8zWn13b2DURSeGRLLiYREbUxpaWlKCsra/L/+fv7IyCgfXaIyaBtK5UYNhFRgebaU45I52Ne7v6YkPAAVqa9juyyHTCYarAidQ6GxV6PuJBRJ3V5iYiIiIjItUojRPr3atFlISKi9mPjxo1YunRpk/9v/PjxmDChfXaIyaBtKyVBWRmOxcPNG2Pj71alEg4Wr4cJBjVeayhHt/BTT8qyEhERERGRa9BKIwgGbYmI6GQZPHgwevToYTOttrYWH3/8sRq/9tpr4eHh4TDTtr1i0LaddFw2osut8Dz8qSqrIP45/Dmq68pUGQWdTtfSi0hERERERCelnq0509Zd74VQ3ziucyIiOimkxIF9mYOaGnNNddGxY0d4enpya1hh0Lad0Ov0GBw9DV5u/tiZM19Nk5q4ErgdFH0FdDo9XF1+finy8831T4xGIwoLC1BUZIBeb172sDB/hIW1zzonRERERETHUlqdhaq6IjUe7tcdeh0vB4mIiFwVj9LtiGTU9u30H3i6+2NzxldqWkr+QtQYyjA89gaXP2mbP38j5s51Xv9k2rTxuOaa9lnnhIiIiIjo39SzNRiMSN+XC6/UGqT75cIw0Ag3N9dP7CAiImqrXDtKRydEj4gp8HTzx/qDH8IEI9KL1qDWUIFRcdNVMylXdfbZgzFqlLn+SVpaDp57bh5mzDgPcXGRlkxbIiIiIiJqTNC2p2V82bJdePPNBcjNLUEQgG9WLMPfP2zG9OlTMG4cOysjIiJqCQzatlPxoWPg6eaLVQf+C6OpFpmlW7Fk34sYF38PPN394Iqk9IFW/kDKI4jY2HB0796phZeMiIiIiKgV1LMtN3dC5q73RoiPuZ7tvEX/YPZ/fzPPFFqfWZthKMPDc77HfbVTcd7kQS2z0ERERO0Yg7btWHTQIIxPuA8rUl9DrbES+RUp+HvfsxifcD98PIJbevGIiIiIiKiZlFQfRnVdiRqP8OsBvc4Nh4qL8ej+pTBNdd4vhDw+ZEgiOgdJDi4RERGdLCxS1M5Js6iJiTPg5R6o7hdXHcKilKdRVp3d0otGREREREQnsJ7t+h2pMLnpjvp/8rjMR0RERCcXg7aEEN8umNz1Efh6hKu1UV6Ti0Upz6CoMp1rh4iIiIioDcgpM5dGsA7aFheVN+p/GzsfERERNR8GbUkJ8OqIyd0eQaBXlLpfVVeMv1OeQ27ZHq4hIiIiIqJWzGQyWoK2Hm6+CPaJVeNBwY3ry6Kx8xEREVHzYdCWLHw9QjGp6yMI9U1U92uNFVi6/yVklGxxibWUW1GOnXk5athfVojaUL261abJ40REREREZEtKoNUYyqzq2ZovA7t27dioVdXY+YiIiKj5sCMysuHl7o8JCQ9gZdrryC7bAYOpBitS52BY7PWICxnVomvr2+St+O/mtfUTpgbg/q0Lga3mu7cOGI7bBo1sseUjIiIiImotpRGEm75xOTyNnY+IiIiaD4O21ICHmzfGxt+Ntenv4WDxOphgwNr0d1FTV47uEae22Bq7uGc/TIw1ZwGv2JmCOSnrcGfXYRiT1FVNi/Blsy0iIiIiosZ0QkZERESujT+ZkkNueg+M6HILEsMmWqZtyvgc27N+gslkapG1JkHZpPBINXT2DVTT5FabxqAtEREREZEto9SzLTdn2nq6+SPYuzNX0Unw1ltvIS4uDt7e3hg+fDjWrVvndN7a2lo8+eSTSExMVPP3798fCxYssJnniSeegE6nsxl69uxpM8+ECRMazHPzzTefsPdIREQnFjNtySmpdTU4ehq83PyxM2e+mrYjex6q68owKPoK6I7UwiIiIiIiItdUVJmOWkOFGo/072lzDh/s7Q1PNzfUGAxO/18el/mo8b755hvcc889eOedd1TA9rXXXsPpp5+O3bt3IzIyssH8jz76KD7//HO8//77KhD7559/4vzzz8eqVaswcOBAy3y9e/fGwoULLffd3Rtezt9www0qAKzx9fXlpiMiaqUYtKWjkl9n+3b6Dzzd/bE54ys1LSV/oerIYFjMDXDTcxciIiIiImodpRFsMzOj/APx24XTcO37X+JQUJWapqs04I6+Iy0lyCRgK/NR473yyisqeHrttdeq+xK8/e233/DRRx/hoYceajD/Z599hkceeQRnnnmmun/LLbeo4OzLL7+sgrnWQdqOHY/eKZwEaY81DxERtQ769tCUxGAw4LHHHkN8fDx8fHzUvE899VSLNfNvjXpETFFBWt2RXSa9aA1Wps1BnbH6pC1DRlkJdublqOFQRYmaJrfaNHmciIiIiIgaX8+2k18Aco3mTFxh8tbblCBjwLZpampqsHHjRpxyyimWaXq9Xt1fvXq1w/+prq5W17LW5Lp1xYoVNtP27t2LqKgoJCQk4IorrkB6enqD5/riiy8QHh6OPn36YMaMGaioqN+2jl63pKTEZtCun7XBaDSqaXLbmOnaNbaz6dbTtOkyNHa6sJ+uLYuz6Y1ddr4nbifuey3zebLWnr4jGsO9PTQleeGFF/D2229j7ty5qknJhg0b1K+eQUFBuOOOO1rgXbZO8aFj4Onmi1UH/gujqRaZpVuxZN+LGBd/DzzdT2wnYBKQnfrD3AZNt6QzMhm0pluSKdCWTiwra4vU4IyPR7AaiIiIiIjsGU0G5JXvUeNe7oEI9IpuME9yahaqg3Rq3LdChwq2pv9X8vLy1EV5hw4dbKbL/eRkc21he3K9K9m548aNUwlGixYtwo8//mgTzJBr408++QQ9evRAZmYmZs2ahbFjx2L79u0ICAhQ81x++eXo0qWLCuxu3boVDz74oLqOludy5LnnnlPPY2/fvn3w9/dX43LN3KlTJ2RnZ6O4uNgyjwSGZTh8+DDKy8st0yXLNzg4GGlpaSqArencubN6TnluLfAhJLFKMoglIG2tW7duqKurQ2pqqk3wu3v37ur1Dh06ZJnu6empAtmyfFlZWZbpfn5+iImJQUFBgdouGr4nbifue67zeZLPuf33T3v4jjBa3T8ancnF0k3lYDR06FC8+eab6r68EVmJt99+u8OmJHJAkqYkt912m2XahRdeqH6Z1JqSnHXWWeog+eGHHzqd51jkV0fZcLLBAgPbTlDweOSUJWNF6muoNVaq+0HenTE+4f4TGjyUTNqLfvnymPN9d87lKiOgrZCO36SOsDO9O5yHPh3PR1sln/+cnBz1g418AVPbw23cPnA7t33cxu0Dt3Prk1+xHwv3moNyMUHDMCqu/ppJM3veQnxcsF2NJ1b4Y59vGV7qdwrOHNIHrqY1XJNlZGQgOjpaJRGNHDnSMv2BBx7A0qVLsXbt2gb/k5ubq8opzJ8/X5Wnk8CtZOZKOYXKSvM1l72ioiIVoJVg7//93/85nOfvv//G5MmTkZKSop7TUaatDNbrVwtgaOtXlkfOw+Xzbx06cDZdpsljzqbbZ9Vp5/j2AQxn093c3NTzWk/XlsXZ9MYuO98TtxP3vZP/eZIg54svvqgek9YB8hlvD98RJSUlKtB7rOOZuys2JZEN1ZxNSUaNGoX33nsPe/bsUVH3LVu2qMflAEdNJ7WwJibOwNLU2aiuK0Fx1SEsSnkaExLuh7+X7S/K9O8khk1EVKA5Y7ykKgNrD76L4TE3IdA7Sk1jli0RERERHU89W826jIPAkcupHsFh2FdTxhX6L0gWlgQNJEPLmtx3Vms2IiIC8+bNQ1VVFfLz81VikiQsSWaYM3KxL9e2EpA9WkKUcBa09fLyUoM9WX5ngRN7TZ1u/7zHM12CIE2Z3lzLzvfE7cR9r/k/T/af2fbyHaHTmVu4HIt7e2hKIgc8iWJL+QRZWfLYM888o+oAOePoV0chkfPGpjG3ZUHeMZiYMAPLUmejojYf5TW5WJTyDMbG3Ytgn5hmf72aWtuUeWckPb4tbR8vt0A1CJPJ/L4CvDoi2DvWMk9ber/2tF+q2vJ7bO+4jdsHbue2j9u4feB2bn1ySuuDtuG+PR2eU6UajvQLYTJhYOdO+H3/AXXe6YrnX664TPakGe7gwYPVdel5551nWW65P3369KP+ryQjSZau9Nvyww8/4OKLL3Y6b1lZmWpye9VVVzmdZ/PmzepWmvkSEVHr41JB2+MxZ84c1ZREArJaUxKpVytNSTTffvutKsj+5Zdfqpq2cvC666671C+Y06ZNa1J9H2m6Ir+AktCjX9BN2Fr4ISoM2aiqK8bf+55F3+BrEOQZ/69XkQTrUkqKsCgjDb+n7mvU/7yydAluHjQYcQFBbW4TldYWqtuCgkLUerSPYmNygivNBWRfYHmEtonbuH3gdm77uI3bB27n1lfPNqd8txr31AegsliPqpIcm3myiktR4WduyulbppPeUtR4cUmpKlHlakpLS9EaSB8tcp05ZMgQDBs2TPXTIvUP5TpVXH311So4K9ecQkomSI3EAQMGqNsnnnhCfd6kpILmvvvuw9lnn61KIkgJhpkzZ6qEpMsuu0w9LgFcud4988wzERYWpmra3n333Sq5qV+/fi20JoiIqM0EbU9UU5L7779fTbv00kvV/b59++LAgQPqIOksaCslGuRga1/fR17PFeon5VaUI7eyvvCxvQgfP0T4ntjOwcwi0SHiUSxPexUFlfthMFVhW9FHGBl7KzoF9j+uZzxYUoSfkndg/t5kZNU6f4+OrC/PwfrlfyDRLwQX9e6LMxN6IMTbB22BR2UFUACEhoYgxKft1O09GjlZlR9j5HPHoG3bxG3cPnA7t33cxu0Dt3Prkl+eAmOOuUOUDgFJDVozink76jt2iTb6obLCHLSV26Ii83hYmD/CwswdXbU0+7J4ruqSSy5RyT6PP/646vRGgrELFiywbIP09HSbc1u5lpUOtvfv3686rZHA62effaZKIGikUx0J0Mo1r5wbjxkzBmvWrFHjWobvwoULLQFiuXaVflzkeYmIqHVybw9NSSoqKhoEfCQ4fLTmNc7q+8jzuELw6NMt/+CT3ZucPn5Nj4G4f/T4k7Is3p6BmJD4IFalvYGssu0wmGqw8sAbGBZ7PeJCRjXqObJKSvHp2vX438EUZKKi4QxGE6BvXM0Psa+8EM+vW4YX1y5Dv4AOuHLgIExO6ApPJ3VQWgOdTm+5dYV98GTRin23p/fc3nAbtw/czm0ft3H7wO3ceuRWmLNstaCto3OplQfTLeOZ23Px/tYcYKwf3v9xOT4uWaqmX3rWCEy/9lS4gtZ0PijXr86uYZcsWWJzf/z48di5c+dRn+/rr78+6uMSpJWOzoiIqO1wqaDtiWpKIs1IpIZtbGysKo+wadMmVQf3uuuuQ2vls6cGIb+ZmwfVBepROtYPAcvL4V5iDkT76GqA0SdveTzcvDEm/m6sTX8XB4vXwQSDGq+pK0f3iIYnedLcPTk1E1+u+wcrctOR41PtMCjrkV0Hv/Q6JIaFY2PCsTtF8NlehdpO7qgLM+/aRh2wuSwbm5f/Ac/FOgz274hpQ4ZgTLeERhd+JiIiIiJq3Z2Q9XI4z56qAsDTnCBR0ccLxiBzgoNcW2gqu8sMREREhPYetD0RTUneeOMNPPbYY7j11ltVbSYpoXDTTTep12itLjtnBE4b3UeNr0zZj9lZ63HTRRMwumuCpRnTyeamd8eILrfA87Af9uUvVtM2ZXyOGkMZenc4DyUllVizIQXzt23HxvJslEhLHncdoM4J6wOo7gUGdCr2xIRO8Zg0uSf69o1FoaEKZ3z3CeqOdMbliLtOj0/uvBr7t2Tgz407saEiCxVd3GH0Ne8vNe4mrK7KxOoV8+HzPx2G+nbAVYOHYETfROibkMXbUvIr9lluQ33jWnpxiIiIiMhFGYy1yCs3lz7w8QiFv2fD0lq55WUo8zSXQPAqMuGzaVfCBBMKCgoQGhoK/ZFWXien5BoRERG5fND2RDQlCQgIUBm7MrQVUldKqy21r6wAyAI6dgxG9+4t2zOonNwNjp4GL7cA7Mz5RU3bkT0PvyxdjR83h6Eq1gOmQD0QaBsk9agwobsxCFMTemLqOX0RHm5bN8sHnvjjomvw96pd+ObbVSgsrM+6DQnxxyUXj8KkUb0Q5R+IPl2icM45Q1BVVYv1G1Pw44atWFOagZLII0FiyRjwNWEZsrBs/Xz4/WHCYO8O+M/A/hg1rDt8fFwnm0DVLq4oV5nJe3P+VNN2ZP+JGlMfc61X35NVu5iIiIiIWouCilRVskxE+ps7bLb3585ky3iMyR+9IzqoFos5BiAyLLJVlSIgIiJqi1wyaEutkwQW09JysXHjfqzfUImqiEiMOsXc62xiz2xMiazBz2mxMJk7qIVnnQ79vSNwYe9+OHNAEtzcjn5iKAHZK08bjssmD8X73y/Fe9vX48Y+Q3HDf8Y7/F9vbw+MHd1LDbJsm3el47O1G7C65DBKAo5k7Op1KI/UYRlysXzXX/D53x/o7x6OM/snYdSoHioQ3pK+Td6K/25ei8TAElzRzdxBX3VdNmYsfRf7SgJx64DhuG3QyBZdRiIiIiJyLTnlxy6NsHi/uRWXGBTRsokfRERE1BCDtvSvFBaWqyDthg371G1WVTmq4z1QFe8BQ1A0clK9cU5cuipX2ze0EL5uBhzIH41L+g/B2Lh4eOib3jGYBGhjEyNQXe6pbo8V7BWSXTAwqYsaxJYDh/HhmrVYXXQIFR7mAK7JU4eKRA+sRjHWpa+A95LF6FYbiAmDemDkyO7o1Su6Ua/VXIwmA0aEAp0GuqFWl2aZLkHvq7qWw894ARI7mHuLJSIiIiJyWM/Wz3HQdmdJHiCn4gYTTu3bgyuPiIjIxTBoS01SU1OHbdvSsX69OUibkpIFo7cOVV08UDXEA3URtmUNthaEodrgjv8kpsFNZ0RiUAmGddqLMbFnNzlgW1lbpAZhQDY6+lSo24IKc/1eH49gNTRG/y7ReL3LBTCaTFh98ADmbtiAtYWHUaczpwEbAt1QPsANm1GDHVmb8OGraxFZ5IGRQ7ph5MhuGDq0K/z8vNDcpOO2zNKtyCjZrG5rDRWAXZxYWrcZkYWv3v8Mk4efgR7XmOs9ExEREREZjDXIK09RK8LXIxz+Xg1/5M8sK0WJW60a98gzoP+RxAYiIiJyHQza0lFJWYH9+3NUJu2GDfuxdesBFbg1egDVMR6onuyLmo7uqsyAvSEdojE1sQdOi+uGmroDWJH6GmqNlcivSMHf+57F+IT7Gx1kFVuz/kRawe/mOx7AjUlABXbjL3MfC4gLPRPDYy5p0hbV63QYHRunhoraWvyVthdfb9uCrUXmUgSitqO7GkrrTDh8YA9+fXc7fJ4xoX+/LioDV4bo6FAc7/otrc5CRskmZJRsQV75HpjgvLM1axfdosOoqEHH9bpERERE1DZJp7VGU62lnq0jK9JTLeOR1V4nJBmBiIiI/h0GbamB/PxSFaDVyh5ICQRh0gM1Ue6oivdBdWcPS6de1nqEhqvOxM5I6K5q0NbriYmJM7A0dTaq60pQXHUIi1KexoSE++Hv1bhM0Y25Yfhht7npVph3FS5MOIAf9ndBfpW3mnZhjzAMjzn+Derr4YFzuyWpIaOsBL/uS8aPu3fgYFmxeQZ3HaoSPdVQUm7Esv0ZWPfZAbz11p/o0iUcI0Z0x6hR3dG7d8xRyygYTXXILdtjCdSW1dQHiK156H0R5BODvPLdDh+vNGWiyl2yKBi4JSIiIiIHpRGc1LP9e485E1f0C2arLSIiIlfEoC2hqqpWZdBq2bSpqebOw4QUC6jt4IaqeE9Ux3rA5NUwUBvtH4ipCT0wNbEnuoaEOV2jIb5dMLnrI1iy7yVU1OahvCYXi1KewbiE+xDiE3vMLXFRz5GYENtPje9L24YKfIqrYsYjMa6vmhbh69dsW1MCzjf2H4Yb+g3F1tws/JyyE7/v34PSmmr1uNFPj4q+3mpwz61Dxf4SpP60Ct98swqBgT4YNqyrysAdOjQRAQE+qK4rQ2bJFlX2IKt0m8o4dsTfswOiggYiKnAAwn27qvUDyDo/0nubnXUH30OnwDfhpudHmYiIiIhsg7YdHARtVQe9BVnmO3UmjO+eyNVGRETkghjpaYeMRpOqRbtx4z6sX78f27eno7bWYHlcwoN1IXoVqK2J94TBt2GgNsTbB1Piu6tg7YDITqqjr8YI8OqIyd0ewdL9s1FSdRhVdcVYnPIcxsbfjQj/7kf9XwnKaoHZqpwA7K0Fon0DkBQeiRNF3lf/yE5qeHDYeCw5uB8/p+zCikNpMEiPYLKuItxRJsMQb3gdqkP1vhr8tWgrNm7fiLjVFeg11IDAyBLgSL1cm+eHHhF+3dEpcACigwaq9aMxGGtRUZvvNGArJPi74dDHGBZzfaO3ARERERG1TXXGalUeQfh7RsLXs2FCxaHSEpSgRo175BrQfwrr2RIREbkiBm1bOYPBiPSUHHil1iDdPweG/r0cNs3PzS2xZNJK2YPi4ooG89T561GT4AFDdx9U+jQMFPq4e+CULokqUDsiOrbJHYlpfD1CMSnxYSxPfUWdVNYaK7B0/0sYFTcdUYH94aq83N1xenx3NeRWlOO3/bvx896d2FOYpx53czchuk8luo0pQffAYoR4m0+G7RlrPRHk3gO9YkYhOqg/PN0dZwi76T1wWrcnUFVXqu4vT16HKrff4G2Yit5dIvDPoc9gggFphSvUOu3b6cIT+O6JiIiIyNVJB2RGk+GopRHWZqZbxv0LgM6dnbeUIyIiopbDoG0rtmzZLrz55gIVkA0C8PWKZVj0/WZMnz5FNcvfvDlNBWolSHvggDmwaM/orYNn30DUdvVCgbu56b91Zqe7To8xneNUh2ITYhJU3dfm4OXujwkJD2Jl2uvIKtsOg6kGK1LnYFjs9YgLGQVXJxm/1/QZhEt7dMXGzOXYnbcWHjgITzfHnYjlF3oifasv0rf4ICvNGyZjOfz8lmHYsAxVRkHKKQQF+Tb4P8mOkEGC8xkpG5Ff5ocwfzec1X88PN18sfrA22p77cz5Bd4ewegWPvkkvHsiIiIickW5jahnu2T/fst4L/9w6B10KExEREQtj0HbVhywnTnz2wbTJYAr0+XkS8ogOOIT5IXwkR1Q3EmH/XXFMKogrRawNRvcIRpnJfbAaXHdEOztc0Leg7ubF8bE3421B9/DwaK1Kmt0bfq7qKkrR/eIU+GKpAZYUdVBZJZsxuGSzSiokJNeE/zsko4NJh0OlPphT3EQ9hYHobDaCzo/wLNLLbzqalQZhfLyaixevEMNsr2kAzMJ4MogHZtp5Q6sg/OAdBSxHYu/T1fB+YG9rsCmjM/VfP8c/gw+7kHoHDykJVYNEREREbWwbJugbU+H57Ibsw+rcV2tCSPj407q8hEREVHjMWjbCknW5SsfLEBtaMMyCBp9lQluRyogSECwR1I0QgaFIyukBpuKs3DAUAzU2f5Pj9BwTE3oiTMSuquOuE4G6UBrROzNKmt0X/5iNU2CkDWGMvTucJ5L1Gk1GGtUhw4SpJVgbUVtgcP5vNwC0Cmwn+pEzNuzGxYeSMeWwp0orM5Wj5t0QHVnDzV4GvXwTquF2+5KuOcZVIB927Z0Nbz33kJERYVgxIhu8Pf3xqefLnManJ8162L06jYVu3J+U8Hj1envYLz7fQ5P0omIiIio7ao1VKGgIlWNSz8JPh4hDeZJKylEifFIPducOvSdEnPSl5OIiIgah0HbVmjxxmTsHSsRzwDnMxlMOPVQOPqOTsA+j1IsPpyKkppUwC7eGO0fqGrUTk3sia4hLVPPSq/TY3D0NBX0lGb+Ykf2PFTXlWJQ9JXQ6ZwHp0+UytoiZKgg7RZz+YYjJ7f2grw7qyCtDKG+ieq9aC7rFYLLevXH/qIC/JyyE/NTkpFdUaYeq9EbUZPgBiT4I8TkCZ/UOlRvKoJbhTk7OiOjED/+uE51Amc8SnBegvfff3SHWt60wpUwmmpVmYlJXR9GsA9PwomIiIjai7zyvarl2lHr2WYctIx7ZtehV6/ok7Z8RERE1DQM2rZCh/IKAbdjZKC66bA6vgR/HVrf4KEQbx9Mie+ugrUDIju5RDarLIN0pOXp7o/NGV+qaSn5i1BjKMewmBtURu6JJE3FCisPIKNkEzJKtqCw0pylYE+vc1cnwdJhmgRq/TwjjvncCcGhuHvIGNwxaBTWZh7Ezym7sDAtBVUGc6pzoa4GhQmALiEQ8W6B8EszIGdVFurcTcg/L+Co27rQYMKSf3Zj0tDrUFVXgqzSbapjt2WpL2Ny18fg56DHYCIiIiJqe6RlmCbSz3HQdvWh+k7IYnUBqlUXERERuSYGbVuhoGA/IOvY85UZay3jPu4eOKVLogrUjoiOhYfergiri+gRcTq83Pyx7uAHMMGI9KI1qDVUYFTcdBQX1iA/35ypmpVVBISZb/e4Z6ppYWH+CAs7SvaxnTpjNbJLdx7JqN2Myroih/N5uQciKqA/ooIGoIN/b3i4HV+NXze9HqOiu6ihbGQ1/peWojJwN2SZ64pJju1+QwkQA/heEYqISk/ku5Uf40l1KogvweRRXaZjyb7nUVCZisraQizbPxuTuj6iOn0jIiIiorYtp/zo9WyNJhPWZZozbXU1JgyJZassIiIiV8agbSvUtWtHIPnY87lBh7Ex8Zia2AMTYhLg6+GB1iAudDQ83Hyx+sBbMJhqkVm6FUv2vYhDa4Zh7kdr1Dzhnavxn/uAjz9egrxDq9W0adPG45prJhz1uStqClSQVoacsp3q+R0J9o61KnsQ3+wlGvw9vXBB995qOFRajF9SdqnhYGmxeTnranHAw/GyOQziS10yN2+MTbgHi/Y+jbKabJRUZ2B56quYkPgg3PWezbr8REREROQ6ag2VKKxIU+OBXlHw9ghqME9KYT5K6o7Us82uQ58hDNoSERG5MgZtWyHJ2GyM96ecj+FRsWiNooMGYlzCfViR+hpqjZXIr0hB+KByvDnsWnjoAlFWdxB7a9/CjBnnwd89xpJpa89kMqrMUyl5kFG8CUVV9U3CrOl1Hujgn3QkUNsfviexrEDngCDcOnAEbhkwHP9kZ6jyCX+m7kFZreM6ug6D+Ed4uwdifMJ9WJTyNKrqitV6W33gvxgddzv0OtfMriYiIiKifye3fLdqpXa0erZalq1Wz7Z3bwZtiYiIXBmDtm1YgGfrrlElzbomdp2Bpftno7quBOV1mUjVv48JCfcjo6QEyAD8I0rQPaJTg55zs8u2q0CtdCQmwUtHvN2DLbVppeyBu5sXWrqu7+CO0WqYMWI8Pt3+D17/x5xFfDR1teYOJzT+XpEYF38v/t73LOqMVapO78ZDn2JI52tcon4xERERETWvnLL6ZnhOOyHLPGQZDyzWIzY2nJuBiIjIhTFoSy4txKcLJnd9BEv3v4TymjyU1+Ri4d6n4a73snRW1i18Mipq863KHuyC0VTn5PniLGUP5Lmbu+xBc5EaxGM7xzcqaPvuu3/hjceugodHfSZtiG8XjI67A8tTX4bRZMD+giXw8QhGn47nn+AlJyIiIqIW7YTMQT1bg9GIdRlH6tlWGdE/Kgp6PX/MJyIicmUM2pLLC/DqiMldH8WS/S+hpOowqg0lqD6SXFpanYFfd92Hito8h//rpvNEh4DelrIHPh4haGu27ziI55+fh0ceucDm5LtjQG8Mi7kBa9LfUfd3ZM9TgdvEsIktuLRERERE1JxqDOUoqjygxoO8O8PLvWHHvLsL8lB2pJ6tZ7YBfVgagYiIyOUxaNsKBXt7w9PNDTUG22bx1uRxma+tkGDrpMSHsWz/yyio3G/zmH3A1scj9EjZg4GqeVh76ITr77+3IzDQB3fccYZNCYQuISNVeYjNGV+p+xsPzYW3exCigwa14NISERERUXPJLZN6tqZG17P1yKpD0tTO3ABEREQujkHbVijKPxC/XTgNRVVV6v7K5H14bc9a3NV9OEb3TFTTJGAr87UlXu7+6BV5NlYemNPgMX+vTogLGakyaoO9Y9tE7dbGBOfddXq4H+mvbN689QgK8sU110ywmadHxBRU1hZhd+4f6oReOiYbn/gAIvy6n+i3QEREREQntTSCs3q2tp2Q9eoVze1CRETk4lyzoCcdkwRkk8Ij1dDZ1xyclVttWlsL2AqTyYSdOb9AB/uArA4eem8kRZ5zpE5t6w/YWgfnvzvncjVIUF70CYqwzDOsU2fMmH6O5f7cuUvx00/rGjxX/04Xo0vwSDVuMNViReprKK46fFLeBxERERGdjE7IdIj0a1jPts5oxMYs83mfvtKIhOAQBAT4cJMQERG5OAZtqdXIKt2OwspUS/OveiY1XR5vD8H5i2N6I8zHV42vykiHWw8/3Hbb6Zb/ef31P7Bw4Tab55EO14bGXI8O/r0ttc+W7Z+NipqCk/p+iIiIiKj5VNeVoagqXY0H+8TC092vwTw787JRXldrKY3QOymGm4CIiKgVYNCWWk2W7basH1QGgWM69bjM15bk55diz55MNWRlFalpJXnluDa2v2WeZ9YsxunnDMSVV461TJOOydau3WvzXG56d4yOu11lI4uK2gIsS30ZNXXlJ+39EBEREVHzybVk2Ta+NEJSEuvZEhERtQYM2lKrYDTVoaI2X2XVOmZCZW2Bmq8tmT9/I2666T01fPjh32qa3M59dAE8D5kzJnIqyvHahpW47rqJOPvswWqawWDEzJnfYvv2+pN04eHmg3Hx98LP01xiobjqEFakvQaD8UhhXCIiIiJqNbKt6tl2cNoJ2SHLuEeWAb17M9OWiIioNWBHZK04AzM/v0yNaxmYcisZmSIszB9hYQFoK9z0Hjit2xOoqitV94srD2PdofcwrPONCPIxd6Tg7R6o5mtLJAg7alQPNb6vrAD3bf4LjzxyARL9Q5FTVY47Ny1AlaEO3yRvxdlde+LOO89ESUklli7dierqOsyY8SXmzLkGCQkdLM/p7RGE8Qn3Y1HKU6iuK0Vu+R6sSX8XI7vcBr2Ov+MQERERtRa55eZMW+nzIdxBJ7PSoe0/2RlqXF9uRKDRA1261PePQERERK6LEZo2loGpTZPH2xpfzzCE+sapIdC7k5omt9o0X89QtDUSeO/evZMausSaT7DlVu6P6dcVdwwepaZJ/vETKxfBABMefvh8DB6coKaXlVXhgQc+R2Zmoc3zBnh1UBm37novdf9Q8QZsOvx5mysvQURERNRWVdWVqFZTIsQnDp5u5j4PrG3LzVI/8AvPrDr06hkNvb5tdNpLRETU1jFo24ozMN9990Y1SOalkFttmtZMntq2K5IGICksUo3vLczHJ9s3wtPTHU89dQl69jRnIEtG9n33fYaCAnNmtibUNx6jutwOHdzU/ZT8RdiVM78F3gURERERneh6th6sZ0tERNSqMGjbBjMwZWhLpRHIOXe9HrNGnwK9zpwx8fbmtThQXAgfH088//zliI0NV9MzMgpVxq1k3lrrFNgXw2L+z3JfOnPbn7+Mq5yIiIioFdWzjfTvecx6tpJp27s3OyEjIiJqLRi0JWrlksIjcXXvgZa6ZbNW/a3KHAQF+eKll65EZGSgemzfvmw88sjXqK42d2CmiQsdjf6dLrHc33DoY2SUbD7J74KIiIiImiLnSNBWB73DerZVdXXYnGPu70JfaoRbuQm9ejFoS0RE1FowaEvUBtw2cCSi/AMszeB+TjGfxEdGBuGll65SAVyxdesBPPnk9zAYjDb/3yPiDHQPP02Nm2DEqrS3kFeectLfBxEREREdW2VtEUqrMy0lrzzcfBrMIwHbWqNBjXtm1yEmJgyBgQ3nIyIiItfEoC1RG+Dr4YHHRk6y3H9p3TIUVFaocSmR8MILV6iSCWLVqj146aVfYDTWdzqm0+kwIOoyxAQPV/cNphosT30FJVXm3oaJiIiIyPWybI9Wz3adVT1bc2mEmJOybERERNQ8GLQlcmG5FeXYmZejhv1FBWqa3GrT5HHNuJh4nBFvbhpXVF2Fl9YttzzWo0cUnn76Unh4mDsd+/PPLXjnnf+pMgoanU6P4TE3INI/Sd2vMZRj6f6XUVlbeNLeL7Wf7KCCijQ1FFamobT2sLrVpsnjRERE9O+CtjadkGXVISmJpRGIiIhaE/eWXgAicu7b5K347+a1NtMeXLbAMn7rgOG4bdBIy/2HRozHysMHUFJTjV/27cLZXXtiVHQX9digQfF49NELMWvWdyrL9rvv1iA42A+XXz7G8v9ueg+MibsDf6c8i6KqdFTU5qnA7aSuD8PTzVxigejf2pe/GDuy59lONP8mofTucB76dDyfK5qIiMiJnLJkdavXuSHcr1uDx8tra7A9N1uNuxUb4FZpYtCWiIiolWHQtpWSDEsty9I6A1MT4eunBmrdLu7ZDxNjE50+br+Nw338cO/QsZi5cqG6/+Sqv/HT+VfCx91D3R83rhfuuecszJ49X91///1FqrbZWWcNtjyH1EQbl3AvFqU8hfKaPBRXHcTK1DkYl3CfCuoS/VuJYRMRFWjuPK+48jDWHXoPwzrfiCCfaDXNxyOYK5mIiMiJipoClNWYA7Khvolw13s1mGdTdgbqTEZLaQRfX0/ExUVwnRIREbUiLI/QijMwL/rlSzVomZdyq02Tx6n1k6BsUnik08FRYP6C7r0xpKM5+HWwtBjv2GXqTp06CDfeONly/9VXf8PSpTtt5pGg2fiE++HlZu7cLKc8GWvT34XpyMk/0b8h+1eob5waAr07qWlyq01j0JaIiMi5nPImlkbINqBnz2i4ufHS72R66623EBcXB29vbwwfPhzr1q1zOm9tbS2efPJJJCYmqvn79++PBQvqW9eJJ554QvVDYT307NnTZp6qqircdtttCAsLg7+/Py688EJkZ5sD/ERE1Pow07adZGBS+6HX6TBz1GRcMO8L1WPwJ9v+wZkJPdAjtD674tJLR6OoqALffrtalUp45pkf4e/vjcGDEyzzBHh1xNj4u7F4//MwGGtwsHg9vDO+xMCoK9RJIhERERG1XGkEEelnG7TTrMs8ZBn3zK5D0ljWsz2ZvvnmG9xzzz145513VMD2tddew+mnn47du3cjMjKywfyPPvooPv/8c7z//vsqEPvnn3/i/PPPx6pVqzBwoLl1kujduzcWLjS3qBPu7raX83fffTd+++03fPfddwgKCsL06dNxwQUXYOXKlSf4HRMR0YnAn1vbUQZmW+q8qKQqU02TW3Ze1FBCcChu7D9UjUvTuCdWLoLBWJ8lK0HXm28+FVOmDFD3a2sNeOyxb5CcfNjmecL8EjGqy3TojnxV7M37C8m5v5/ArUxEREREjemETK9zR5hf1waPl9ZUY2d+jhp3KzRAX8V6tifbK6+8ghtuuAHXXnstkpKSVPDW19cXH330kcP5P/vsMzz88MM488wzkZCQgFtuuUWNv/zyyzbzSZC2Y8eOliE8PNzyWHFxMT788EP12pMmTcLgwYPx8ccfq8DvmjVrTvh7JiKi5sdMW2rVnRdJLUwNOy+ydX2/Ifhj/27sLy7E1twsfJ28FVckmYO0WuD2vvvORklJJVat2o3Kyho8+OAXeOON6xAbW38CGBXYH0NjrsO6gx+o+1szv4W3exDiQ+s7MCMiIiKiE0/6GyivyVXjYb5d4a73bDDPhqzDMJpMlixbkZTETNuTpaamBhs3bsSMGTMs0/R6PU455RSsXr3a4f9UV1ersgjWfHx8sGLFCptpe/fuRVRUlJp35MiReO655xAbG6sek9eUMgvyOhrJ2pXH5XVHjBjh8HVl0JSUlKhbg8GgBu2aQZbfaDTCdGS/Otp0mSaPOZuuPa/1dCHzN2a6m5ubel7r6dqyOJve2GXne+J24r538j9P9t8J7eU7wmQ139EwaEutsvMiqa1aUFCI0NAQ6HTmDyvrYNrydHPHE6NPwdW/f6fuz9m4CpO7JKKjn7lOrZDaZo8/fqEK1m7ZckAFcO+77zMVuO3QIcgyX3zoWJXpvC3re3V//cEP4e0egE6B/U/CliciIiIi6yxbEenvrDRCfT1b6YQsJiYMQUG+XIEnSV5enrpA79Chg810uZ+cXF/awpqUTpAM2XHjxqm6tosWLcKPP/5oc6EvZRY++eQT9OjRA5mZmZg1axbGjh2L7du3IyAgAFlZWfD09ERwcHCD15XHHJGgrzyPvX379qmauELKLHTq1EnVxpVsXo1k+cpw+PBhlJebO8gWkgEsy5CWlqYC2JrOnTur55Tntg6axMfHqwxiCUhb69atG+rq6pCammoT6Ojevbt6vUOHrEqAeHqqDGVZPuv36ufnh5iYGBQUFKjtouF74nbivuc6nyf5nNt//7SH7wijXbDZGZ2pseHddk5+dZQNJxssMDCwpRen3ZMdPCcnR9WE0n5hIcdmrliI7/dsV+OTYxPx+ilnN5inrKwKd989Fykp5i8wObmXwK31Cb58Vfxz+HOk5JvraLnpPTEx8SGE+TqvrXw8JDgsw9GC8wzQtx355fuxMGUWTuk6E2F+9TWVqW3hd3bbx23cPnA7t7y16e8hrdBcn3Ri4gyHgdsL532B5IJcOZFC+LelmDKhH2bMOK9NbOPWcE2WkZGB6OhoVZZAsmE1DzzwAJYuXYq1a207CRa5ubmqnML8+fNVVpYEbiVjVsopVFZWOnydoqIidOnSRQV7/+///g9ffvmlKsdgnTkrhg0bhokTJ+KFF15oVKatFsDQ1i+zUpk93JazHfmeWn47SZDzxRdfVI9JCwXZd9rDdiopKVGB3mMdz5hpS9TG3TN0DBYf3I/8ygosSt+HhWkpOCXOtv6ZdEL2wgtX4I47PsbhwwU4eDAfDz30BV5++Wr4+nqpeeTLZmD0FaiqK8ah4vWqc7Ll+1/F5G6Pqk7LTmQZDBTUj7IMBhEREbVHciGoZdq66Twc/nBeVFVpDtjKhV6BEfoaE3r3ZmmEk0mysCRoIBla1uS+ZGM5EhERgXnz5qGqqgr5+fmqBMJDDz2kMsOckYt9yShLSUlR9+W5JfghwVzrbNujva6Xl5ca7MnyOwuc2GvqdPvnPZ7pcl3SlOnNtex8T9xO3Pea//Nk/5ltL98RukZ27s6gLVEbF+TljRnDx+O+JX+o+8+sWYwRUTHw97Q9QQsN9cfs2Vfh9ts/Ql5eKZKTM1TnZM89dzk8Pc1fFXqdHiNib8TS/aXILU9GtaEUS/fPxuSujzZb9qt1GYziysOqbvGwzjciyCdaTWOWLREREbVHUsu2otb8S3a4Xze46T0azLM+q75TWQ/Ws20R0gxXOgGTEgfnnWfOcJbsK7k/ffr0o/6v1KqVLF2pTfvDDz/g4osvdjpvWVmZanJ71VVXqfvymh4eHup1LrzwQjVt9+7dSE9Pt8n4JaK275st09BaGOskeBmvxn/YdiP07q2nGMAl/eee8NdwvTYvRNTspsR3x7jOcWo8p6Icr21c5XC+jh2D8eKLVyIgwNwRwj//pOKZZ6SeVn0TAimLMCb+DgR5d7ZcQCxLfQW1BsdNt5pKgrKhvnFqCPTupKbJrTaNQVsiIiJqj2zr2fZqVD1bb28PxMdHnpTlo3r33HMP3n//fcydOxe7du3CLbfcouofSvkCcfXVV9t0VCYlE6SG7f79+7F8+XJMmTJFBXqlpILmvvvuU+UVpGailF44//zzVfbWZZddph6XshFSJkFee/HixapjMnk9Cdg66oSMiIhcH4O2RO2ApN4/NmoSfNzNGbNf79qCzTkZDueVE3vJrpWTfLFs2S68+upvNrVZPN38MC7hXvh6hKn7RZUHsDLtdRiMtkXEiYiIiOjkBW3XakFbowkeOXXo1StadTxLJ9cll1yC2bNn4/HHH8eAAQOwefNmLFiwwNI5mWS/SmdiGimL8OijjyIpKUkFYyXbdsWKFTZlDqRTHQnQSkdkkoEbFhaGNWvWqNIKmldffRVnnXWWyrSVTs2kLIIEg4mIqHVyySP4W2+9hbi4ONU8RHrJXLdundN5penIk08+qYq1y/z9+/dXB0R70rvblVdeqQ5uPj4+6Nu3LzZs2HCC3wmR64jyD8T0QaPUuIRfn1i5CLVG24LYmt69YzBr1sWWk/zffvsHH374t808vh6hGJ9wnwrgiuyynVh38H3VeRgRERERnaB6tnpPhPiYm5Jay6ssx74ic/kE9wID9LVAUhLr2bYUKYVw4MAB1dGXZNLKda1myZIl+OSTTyz3x48fj507d6rgrfRg/umnn6q6tta+/vpr1cmZPJ8EcOW+XANbk+thuZaWjsQks1cCts7q2RIRketzuaDtN998o5p0zJw5E//8848Kwp5++umqF1NH5BfJd999F2+88YY60N18883q18lNmzZZ5iksLMTo0aNVjZ8//vhDzffyyy8jJCTkJL4zopZ3ZdIAJIWZm8jtLczHJ9s2Op132LCuqqdhrT72F1+swLffrraZJ9A7CmPj74GbzlPdTy9ag82Z35zIt0BERETU7pTVZKOyrkiNR/h2h5u+Ydck6zMP2ZRGEAzaEhERtV4uF7R95ZVXcMMNN6j6O9I85J133oGvry8++ugjh/N/9tlnePjhh3HmmWeq3jWlXpCMS1BW88ILLyAmJgYff/wxhg0bhvj4eJx22mkNfpkkauvc9XrMGn0K9Ecisf/dvBYHSswXAI5MntwXd9xxpuX+22//DwsWbLaZJ9yvK0Z2uRU6mJ9zT+4CJOeYOz0jIiIion8vuymlEaQTsixzayoGbYmIiFovlwra1tTUqILpp5xyimWaXq9X91evts3w00jzEGkGYk3KH0gNIM0vv/yCIUOG4KKLLkJkZCQGDhyoCsMTtUdJ4ZG4KmmgGq8xGPDkykU29WrtnXfeUFxzzXjL/Zde+gWrVu22mSc6aCAGd77Gcn9L5tdIK3Tc2RnZqqwtQkFFmtNBHiciIqL2rXGdkB3JtDWY4Jlbh+joUAQHm8tYERERUevTsF1NC5L6PQaDwVKgXSP3k5OTHf6PlE6Q7FwptC6Zs4sWLVK1e+R5NNIL59tvv63KLkhW7vr163HHHXfA09MT06ZNcxoMlkFTUlKibqUXTxmoZck2kEAjt8XxuXXAMPyVthcZ5aVYk3kQP+/diXO6Or4AEFdeORZFRRWYN289jEYTZs36Hi+8cDn69etimSc+ZBwqa4qwI+cndX9d+gfw1PujY0Cff7GdTZbbtrqtU/L+xs6cn50+nhR5Lnp3OA9tVXvYxkKC71VHmrU64u0eDB+P+s5G2hp+Z7d93MbtA7dzy9ezddd7I8g7tsExM6u81NJ6yiPPAF0dVCdkTT22uvo2dtXlIiIiavNB2+MxZ84cVU6hZ8+e0Ol0KnArpRWsyynIwV0ybZ999ll1XzJtt2/frkovOAvaPvfcc5g1a1aD6bm5uapAPLUs2abFxcXqpFKysanppvcaiIc3LFPjL6xdil7e/gjy9HI6/0UXDUROTiFWrUpBTU0dHn74azz++NmIiwu3zBOG4ejkk4nMyjUwwYBVB95A/5CbEOBxfJ1glFSbO9MoLCiAobxtZoqYChPQsfIqNV6ry0e+9+8IqzoTHqawI4+HI0fnuKZ3W9AetrFIK/sLB8oXOn28i98piPM/FW0Vv7PbPm7j9oHbuWWU12Wjus6cQBLoHoe83PwG8yw6nGoZ98g217ONiQly2i9Ia93GpaWlLb0IRERE7TNoGx4eDjc3N2RnZ9tMl/vOer2MiIjAvHnzVCA1Pz9f9bL50EMPqfq2mk6dOqn6uNZ69eqFH374wemyzJgxQ2XmWmfaSl1ceb3AwMB/8S6pOcgJpQTpZXu44glla3B2ZCSW5WViQdpelNTW4JPUXXhm7GlH/Z/HH78Yjz/+LdatS0FlZQ1eeGEB5syZhs6dzQFGERl5A1al1yCj5B8YTDXYUTIXkxIegb+XuQO0pnArLweKgJDQUIT5Nf3/W4M//tiFTz9dqcbDO1fjP/cB7765BXmHzAH0q68eh2nT+qGtag/bWASETEW3utFqvKQqE+sOvYdhnW9EoHendpNpy+/sto3buH3gdm4ZKfnbLeOdQ/shMqLh8TJ5z9YGnZANH95TlYZrS9vYviweERFRW+ZSQVspVzB48GBV4uC8886znDjI/enTpx/zAB4dHY3a2loVjL344ostj40ePRq7d9vW4NyzZw+6dKlv2m3Py8tLDfbk5MUVT2DaIzmh5Pb4dx4aMQGrMtJRUlONX/Yl45yuSRgZHet0fi8vPWbNuhj33fcZduw4iKKicjz44Jd4443rEB4ecGQuPUZ2uQVL97+EvPI9KjNkedrLmNz1MXh7NO0HD71eZ7ltq5+7c84ZgtGje6rx/Rk7UIzP8H//NwkJUb3VtLAw/zb73tvLNhZ+XqFqEDqd+X0G+UQj1DcO7QW/s9s+buP2gdv55Mstry8T1yEgyeHxcn2WuZ6tzgB45Brg7e2Brl07Hdex1ZW3sSsuExER0Ynickc9yW6VTsLmzp2LXbt24ZZbbkF5ebkqeSCuvvpqlQWrWbt2raphK3Vrly9fjilTpqhA7wMPPGCZ5+6778aaNWtUeYSUlBR8+eWXeO+993Dbbbe1yHskchURvn64d+hYy/1Zqxahqs6cneGMXAQ899xliI83Z25kZRXhgQc+R2lppWUed70nxsbdhUDvaHW/rCYHy1JfRq2BpUXshYUFoHv3Tmro2NGcaSm32jR5nIiIiNonk8mI3DJz0NZD74tgn4ZJJ4dKi3G4zFw+wT23Djoj0KNHFNzcXO5Sj4iIiJrA5Y7kl1xyCWbPno3HH38cAwYMwObNm7FgwQJL52Tp6enIzMy0zC9lER599FFV/uD8889X2bYrVqxAcHB9M9OhQ4fip59+wldffYU+ffrgqaeewmuvvYYrrriiRd4jkSu5oHtvDO5gDq4eLC3GO5vXHvN/AgJ88OKLV1qCjKmpOZgx4ytVMkHj6e6H8fH3wsfDnF1YWJmGVWlvwGA8elCYiIiIiMyKqw6j2mCu4xrh3x36I601rK3LPNSgNELv3sfXnwARERG5DpcL2gophXDgwAFUV1erTNrhw4dbHluyZAk++eQTy/3x48dj586dKnibl5eHTz/9VNW1tXfWWWdh27Ztaj7J4JXOy4gI0Ot0mDl6Mjz0bmp1fLxtI3YX5B5z1Ug5hNmzr0JIiLnzKCmX8MQT36G21mCZx9czDOMT7oWHm6+6n1W2HesPfaiyRoiIiIjo6HLKdlnGI/17OZxnXeZBy7jHkaBtUlIMVy0REVEr55JBWyI6uRKDQ3Fj/6FqvM5kxBMrF8FgPHZgNTo6VGXc+vmZ6z9LB2XPPz8PRqPJMk+Qd2eMjbsbbjoPdf9A4SpszfzuhL2X1ia3ohw783LUcKiiWE2TW22aPN7W5OeXYs+eTDUcOJCnpsmtNk0eJyIiomMHbU0mE9YeCdrqpZ5tvvnH86QkZtoSERG1di7VERkRtZzr+w3BH/t3Y39xIbbmZuGb5G24PKn/Mf+va9eOeOaZy1Rd25qaOvz993YEBfng9tvPUB1ZaM35RnS5RZVHMMGE5Nzf4e0RjB4Rp6O9+zZ5K/57pCRFR58K3JgEvLp7LbI2b1PTbh0wHLcNGom2ZP78jZg7d6kaD+9cjf/cBzz33DzkHTIH/6dNG49rrpnQwktJRETkAvVsy82dKXu6+SHYu2H27IGSIuQc+YHXI8dczzYqKsTSEoqIiIhaLwZtiUjxdHNXZRKm/f69uv/axpWY1CUBHf2O3RFW//5d8Pjj/8Hjj3+jsmx/+mk9goL8VPBN0zloMAZFX42Nh+eq+5szvoSPexBiQ0bYPJdkWebnl6nxsrr6LMx8dx81Hhbm36Y657q4Zz9MjE1U46v3rAGwG5d36YOR3UdYOotra84+ezBGjeqhxpOz/4dKHMZVN/ZAzw6nWbYxERFRe1dUeRA1BnNANsK/J3QO69nWl0Zwz6xVt8yyJSIiahsYtCUiiyEdO+PC7n3ww57tKK+twbOrl+D1U85u1BoaPboHHnjgXFUeQXzyyRIEBvrg/POHWebpGj4JVXVF2JH9s7q/9uB78HIPRIeApHabhSlBWS0wuz/dD3Jp1sHbD0nhkWirJOgugzTp3Fm5XU0zBm5Ht25XW7KziYiI2ruccqvSCH6O69lqpRGEZxZLIxAREbUlDNoSkY17h47BkoP7kV9ZgUXp+7AwLQWnxHVt1Fo6/fT+KCmpwH//+z91/403/lCB28mT+1rm6d3hfFTWFmF/wVIYTQasSJuDSV0fRohPlwZZmCmHtqEUX+Daayega2fzczALs22oqMlHcu4CVCNH3Zfb5Nw/0D38VLjpzfWPiYiI2rPG1LNdn3lYjbsbdXAvYNCWiIioLWHQlohsBHl5Y8bw8bhvyR/q/jNrFmNEVAz8Pc2Zrsdy0UUjUVRUgS+/XAGTyZwlGxDgg2HDzIFfyaQc3HkaquqKkVGyGXXGKizb/zImd30M/l4RlixMUVZ3EKW1QMeOwejevRO3VCtmMNYgt3wvskq3IrN0G0qqzBeZ1rZmfoPtmT8iMqAnOvgnIdI/CSE+sQ6bgxIREbVlRqlnW7ZHjXu5ByDIO7rBPPuKCpBfVaHGffJN0JkALy93JCZ2OOnLS0RERM2PQVsiamBKfHf8nLILyw+lqc4tXtu4Co+OnNjoNXX99ZNQXFyB3377BwaDETNnfovZs69C797mDjT0OjeM7HIrlux7EfkVKSqAu3T/S5jc7VF4uwdyi7QBkv1TVpONzJJtyCrdprKFDKaaY/6fEbVqfhm0jlcku0iCuB0CesPfswNLKBARUZtXVHkAtUZzQDbSr6fD8kHWpRFMByrVbY8eUXB3dzuJS0pEREQnCoO2RNSAXBg8NnIizv3pM1TW1eHrXVtwdmJP9I/s1Oj/v/vuqSgtrcSyZbtQVVWLGTO+xJw51yI+3lyr1V3vhbHxd2NRytMorc5UAb7lqa9iYsJDcHdrXFYvuZZaQ6UKzmaVbkdm6VaU1+Q6nddN5wWDqbrBdB3cYIK5eaeQDlgOFW9Qg/D1CFUZuFIHuYN/b/h4BJ+gd0NEROQapREiHJRGsO+EzCOrTt2yEzIiIqK2g0FbInIoOiAI0weNwkvrlsEEYObKhfju3MvhoW9c9oabmx6PPHIBysq+xD//pKK0tAoPPPA53njjOlXuQHi5+2N8wn1YtPcpVNYVoaBiP1YdeAtj4u+AXsevp9aQTVtcdVCVO5DM2LzyPapOsSPe7sHoFNAXHQP6SlQfqw+85fg5YcCQztfBaKpDdtkOddFaazBnGomK2gKkFa5Qgwj0ilIZuJKJKz1re7r5nqB3S0RE1DJB2w4OgrZGkwnrMg+pcS+TG9wLjWpca9VERERErR+jIkTk1JVJA/DbvmTszM/B3sJ8fLJtI27oP6zRa8zT0x1PPXUJ7r33UyQnZyAvrxT33fcZXn/9WoSG+qt5/DzDMS7hPvyd8qxqBphZugXrD36MYTHXc8u4oOq6MmSX7lCZtJJRW1VX5HA+KYER7tddBWklWBvkHaMysCXQ+9feWSqnVkK0DemwL38xTu02E93CJ6uaftJENLtsp3pdCQwbTLWWuUuqM9SwN+8v6KBDiG+8uZSCf2+E+3WFm97zBK4NIiKi5ic/XOaWm+vZersHIcCrYUun3QW5KKkxt1gJLJYjoBkzbYmIiNoOBm2JyPkXhF6PJ0ZPxqXzv1YZHW9vXovT4rujS2Djm6T7+nrh+eevwO23f4SDB/Nx+HABHnroC7zyyjT4+3ureYJ9YjAm/k5V11YuVCSL0scjBBVG8yVIhVGa/zU+WEzNR4KmkgGt1ZmVcZPDYKsE4CPQKaCfCtRKHVoPN28Hz1eHitp8JwFbYUJlbYGaz03nAb1Oj1DfeDX0ipyqOjTLq9iHnNIdKpBbUJEKE8zZRbJcsnwy7Mr5Vf1/uF83SzmFEJ949XxERESurKAiTXXUKiL9ndWzNWfZitr95ZCfKKUlk/ajOBEREbV+DNoS0VH1Du+Aq5IGYu6Of1BtMODJlYvwwZQLmtQZVFCQr+qITAK3OTkl2Ls3C4888jVefPEKeHl5WC5KRsTerMojSPhtV858uMN84ZFnWAOTqWmvScevsrZIBWil7EF26XZVV9YRN52nCs6qbNrAvo3qJMxN74HTuj2BqrpSdT85dQcO1n2LGPeL0TO+t5omndHJfI7/31M1E5Whr6p5W4Hcst2qlIIEcUuqDlvmlYxclaFbthPbsgAPN1/VmYtWD1cyl7hPERGRK5dGkOPsserZ6g+ZO/pkli0REVHbwqAtER3TbYNG4H9pe5FZXoo1mQfxS8ounNstqUlrLjIyCC+9ZA7clpRUYuvWA3jyyR/w5JMXq/q3IiZ4KAbVXYF/Dn+u7tehTN1WIwf7C5YiLmS002AeHT+DsQ55FXuRVbJVBWqlTq0zgd7RR2rT9kOEX7fjKj/g6xmmBuGtyzlyG4FQ37gmP5fUsI0OGqgGLeAsF7taOQVzVq+Z1MY9XPKPGoSPezAijwRwpaSCr2dok1+fiIioueWWJR81aFtnNGJDlvlHSj+dB9yKtXq2nbkxiIiI2hAGbYnomPw8PPH4qEm45a+f1f0X1y3DuJh4hHj7NGntxcaG44UXrsDdd89FVVUtVq3ajdmz5+OBB86xZDx2Cz8VFTVFSM791eZ/Nxz6WA1SA1cyOgO8OsLfS27N4zK9NXdeZjAYcTClCPllfgjzL4Khv9ESzD4RyqpzLNm0EuTUmmHa89D7qo6+zIHaPpZgq6vy8QhGl5CRapD6uWU1OSqAay6nsAs1BvMPAUI6vztQuEoNQvYjVUrBP0ldJEtHeURERCf7h9TcCnM9WykVJec89qSvgfJac3ZtWIUHtCM4M22JiIjaltYb4SCik0qCtGfEd8cfqXtQVF2lArfPjTu9yc/Ts2c0nn76UsyY8SVqaw1YsGAzAgN9cPPNp1oCt5H+PRoEbTXlNXlqkObw1nTQq5qqEsTVgrn+nh3Vra8K6LpuLdNly3bhzTcXIDe3RPqIBrAdi79Px/TpUzBunONmkU1VZ6xGTlmyOVBbshVlNdlO5tQhxCfOHKQN7Isw30TVqVhrJPuTOajfAV3DJsIknZpVHUR2qZRM2IHc8t2qRq6mtDpLDfvy/z6yHrqYOzULSFKdqrnrvVr0/RARUdtXULnfcmySHxAdlfGxLo1gTKuwdP6amNjxJC4pERERnWgM2hJRoz04fDxWHj6geiuWEgnnJPbCyOjYJq/BwYMT8MgjF+DJJ7+H0WjCt9+uRnCwLy67bIzKjtyW9aMKwmodTFnXUNXBDXWmygbPKfNKIFIFI83lUi0k6OjnGXkkkHskoOt1JKDrEQpdCwZ0JWA7c+a3DaZLAFemz5p18XEFbmU9llQfRmaJuQMx6YXaaKp1OK+Xe6DKopVOxCSrVmrKtkWynSUQK0PPyDNUNlNBxT5L3dv88n0wwXBkbhMKK9PUkJz7u8riDvPtaqmHKx2jtdZgNhERtZJ6tn6Oj/9rrYK2FbtL1QVdjx5R8PDgcYmIiKgtYdCWiBotwtcP9wwdgydWLlL3Z61ahHnnXwVv96Z/lYwfn4S7756Kl182Z9S+994iBAb6YtBYDxRWpjr8H4OpBuPi70WIbxzKqrNRWp2NMpUdmY1SCdhWZ6mMUntGkwGl1ZlqsKfXecBfZehq5RbMwVwZ93EPafaOqqQMQnFxBQoKypCfX4rZs3856vxz5vyugtx+fsfO8pQOwySLVCt7UFlb4HA+CYiH+3VTHYjJEOIT26KB65bipndHhH8PNfTB+ag1VKnsW3M5hZ0oqkq3zGs01SG3PFkN2/Ej3PXeqvM8rZxCkHdndmpGRET/mrSK0chxxl6NwYBN2RlqPNjNC26lxWo8KSmaa5+IiKiNYdCWiJrkwu59MD8lGRuzD+NgaTHe2bwWdw0ZfVxr8ayzBqsA5gcfSHN04JVX5uO2jhWAuwRKTQ7+Q6eycE/tNhPefoEq8GifXVpVV6yauFuCujXZR+7nqKCvPck+LanOUIM96WRLy8y1LrcgAV1v9yBLkE4CsUVF5SgsLFfBWLktLCyzGjffl1t5v5Jd3FjyHGed9TzCwvwRFRWKqKgQdOoUom6jooLhH16GMtNeFajNr9jXIDtZ4+sRpgK0nQL7qkCjdOBFtjzcvBEV2F8NoqquxNypmaqHuxPlNbmWeaUGcEbJZjVo2cqqlMKRcgpSqoOIiKgpDMZa5JfvtRy3HR1Ltudlo7KuTo13rPWG9vNsUlIMVzYRuayvv/4aL774Inbt2gUfHx9MmjQJL7zwAhITE53+T25uLp5++mn8+uuvOHz4MDp27IjLLrsMTzzxBLy8zAktMv3GG2/Eli1b1Pzy3F26dMGVV16Je++9F3q9OTHFYDDg+eefx1dffYUDBw6o68bOnTvjggsuwMyZMy3P9+OPP+Ktt97Chg0bUFIipeuAP/74A1OmTDkp64nIHoO2RNQkep0OM0dPxgXzPle9F3+8bSPOTOiB7qHhx7UmL798jApkfvfdGkBnQnFlLnwDnAU1TSp7VLIe3XQeDR6VIKp0RCWDfXaK1DOtrC2yZOSas3SPBHRrch2WDpCacsVVB9XQ4LEaN5QXeaEoxx15GXoU5Xqg+MhQVS4nB43L0DX46mD0dj6vvsoEtwoT8vMlM7cMKan70blnJWLqKhHjWwGfOsdBWp3JDcGe3RAbNhBRQf0Q4NWJmaBNJGUiYoOHq0FI0NZcD9c8VNeZT+SEjKcXrVGDkAttcwC3t6pJaF1yQoLr2m2ob1xTF4uIiNooOS4YjpyPOKtna10aQXe4/sfo3r07n6SlJCJqmg8//BDXX3+9Go+Pj0d+fj5++OEHLF++XAVbJRhrr7q6GmPHjsXu3btVQLVnz55qXAKvycnJ+Omnn9R8Eqj9+++/VaBWnictLQ1bt27FAw88oAK1Dz30kJrvqaeewqxZs9R4t27dYDQa1fM999xz6rVefvll9diyZcuwcuVKFdDVgrZELYlBWyJqssTgUNzYbyj+u3kt6kxGzFy5EJ9PvRhuR37JbAq5ILn55tNQUlKJP//cgh9ejkZgCODt7YnS0vratSEhfrjk4lEYOaw/3PQex/E6enjqg6CvdIehMBjVhZ1RasmELUFJZT6qTfkwuhfCzbsEPkFVCIqoRUBYLdwclIhz8zQgMLICgZFAbB/bx6or9JYAbnGeu7otK/SGvi4I/j7BCA31V++nsK4SP4dnSLFe9X/xASWYEnMICw52RmqpOcinNxox/nA1wsLyERFXjIiYhtnCmsJsDxzc5YODyb7I3OeNutoa6PXr0LHjniOZuTKEWjJ1o6ND4ePj2eR12V5JIDYhbLwa5Nf54qpD5lIKakhW2bcaCfDuL1iqBhHsHYvIgCRVn3Bv3l9qWkreQnQNm8RgOhERNaxn6++4nq11J2RFW/PVbYcOQQgLC+BaJCKXU1NTYwmcXnjhhfj++++RkZGhgrA5OTl49tln8frrrzf4v0WLFqmgqpAA79SpU/HXX3/htNNOw7x587Bq1SqMGjUKffr0QWlpKdyPlOuTcQneVlRUqOCrZsWKFepWXleyfeVcPiEhQQV5JfNWM2PGDJURLM8/ceLEE75+iI6FQVsiOi439B+KP1L3ILW4EFtzs/BN8jZcnmRuVt5Uer0O999/DkpLq7Bq1W6UF8lUySCtr+Oad6gOT29bhlmzOmLcuFDL9NpagypNIGUErEsTWJcl0KZLYLgRSyMhNss9nd6EgJA6FcC1GcJrERBaB72DgK6XrxGRXarVYOsgPN38LSUWKmr9kLK1CAXVXsiv8sSk6AxE+FTj1M6HsSG3GomBpYgPLIX3UMfZtMY6dxRnhCB9lw92rtehOK/hwkgphoyMQjU4IsHj+nIL5qCuNi7B5eau6dtWyHoJ9olRQ4+I01X2d0FFGrLLdqhs3PyKFDVNI/VxZdiTu8AyTUpyHC7ehM7Bg9AWSWa7DFqme2ltITwqKyz1k7WseCIialzQtrquDptzzPX5I738YCjQ6tkyy/bfkgCPNIHesWMHzjzzTAwZMoS7JVEzWL9+PfLy8ixBWxEVFYURI0aoIOyCBfXnxtYkE1ajlTjQbsXChQtV0FYL1kpQNzs7WwVh5fMsxowZY5lfsnYlECxZut27d1fPL/P27dtXZeFqOnTowO1OLoVBWyI6Lp5u7nhi9GRM+/17df+1jSsxuUsiOvj5H9fzubnp8cgj5+O8815SgVhnnn32R/zwQxSKiipUQFYCvc3J09PdkgkbEmK+DQ01j9tP9/ZxQ2VdviqxYF1uQcYraiX7pWGZhxpDGfIryixN5C9MaLgMHX2rcFaXQw6XL9inCzod6UAs3K8r9IPdgbPNdXVzcootAdqMjAKb8YoKxxm6WnB7586Gr+ft7WEJ6Fpn58pthw7B/7qXalnmlD352FvgB11oPvr3MKr9oDXS69zV9pChd4dzVYd4eeV7jpRT2IHCynSH+8PKA68jrmQMEsLGIdy3W5sKku/LX4wd2fNsJ1r1jde7w3no0/H8k75cRESuqM5YYzk3kJYdfp5hDebZnJupOiITnU1+0I7cDNoen4KCAvzyyy+qmbUEgPz8/FQWntTQlMDNueeeq+pdjh8/Hm6Oml0R0TEdPFjfOiAyMrJBcDQ9vb7jX2sScO3UqRMyMzPV51Arj6CRWrbWNm7cqIK2GimPIIPmscceQ1VVlSqvsHevuXa4nHdLpq6j8gxEroJBWyI6bkM6dlYdk/2wZzvKa2vw7JrFmDP57ON+vj17Mo8asBXV1XXYutXxwd0ZCT5aB1u1cS0Iax2M9fX1bFLgLMBNOifr6LAertTKtQ7kmjtFy1Z1eRuros4NnQL6oUf4EHQM6OM0M1GCnRJYlWHwYNvHpPmPZBkfPmwO5GZm2gZ28/JKHT5nVVUtUlNz1OAoOzoiItAmM9c6U9ff3/uo72vZsl14880FyM2VWlEdsAjr8P2XyZg+fQrGjXPcJLQ1cdd7qcC6DKK6rgy7cxdgV858uzlNSCtcrgbZj+JDxiIudDR8PELQ2iWGTURU4EA1Xlx5GOsOvYdhnW9EkI+5h3Nm2RIR1csvr2+h4bw0Qv0PrF459edLvXuzE7Km2Lx5M+666y7V/Dk6OhrnnXeeyrKVIJFk8hUVFWH+/PmqCfY555yj6mmeddZZmDt3LndZomYi1ydHExwcrH5MkdIK8lmVrFjtsyqfUQ8P23J5WVlZKsN28eLFuPTSSzF79mxVu1arpfvll1+qurUyTTJ85Xrv1FNPVR2Tyf/J553IFTFoS0T/yr1Dx2DJwf3Ir6zAwgP7sDAtBafEdT2u58rPdxw8dBaItQ62atmwthmy5sBsS9RtddN7Isg7Wg32JAuzrDoHf6dtwB/716FLQCm6BTV873+kR2NDboQKhMeHOu9Z9VjkpCQoyFcNjrJxqqtrkZlZZJedaw7qZmUVOQykS9mF7OxiNWzalNrg8cBAH5sgrnWmrmT1PvHEdw3+RwK4M2d+i1mzLm4TgVtrnm5+yCrdDh30MKnSHw1JcH9r1nfYlvW9CvbGh45DVOCA46rh7Aqsyx9IeQQR6N2Jna8RETVDPdvi7eYfgKXVS9euzBJrisLCQpU9++qrr2LgQPOPi/bBoquuukoNkpn3559/MqBDdJxiYup/VJIatvbjsbGxTv83KSlJZcNrpBauBFlFjx49Gszv6+uryiRIMFYy6B9//HFL0PbBBx9EbW0tzjjjDNVpmZgyZQr27NmjgsNEropBWyL6V4K8vPHQ8PG4f8kf6v6za5ZgRFQM/D3r69E2VmM70Xj++csxfHg3tFY5FdV4dcN2/L5fit5HoldIIYwmaWJfP4/c7xdWgPW5Ebj7719xRdIA3DxguFrfzc3LywNxcRFqcFTCQILpEsR1lKnrrDyFZPbKkJyc0eTlkQzc0aN7tNpSCY5IwLawsmFwWxPk1RnF1eYMKhNMyCzdqgYJ9nYJGYX40LEI8TGfYBIRUVsP2vZs8HhFba3qQ0B09gtEXqo5gNu9e9S/LlfU3kjnQo3tYMjb21uVSZCBiJpu6NChCAsLQ35+vupQ7LLLLlPB1zVr1lgCp0LKH4jp06erQcg88sOKZLtXVlbi9ttvV9Mly1ZKJgjJkJXgrtSp1YLBGzZsUOPl5eWW5SguLrZk2huOlJnZtGmTupXSKESuikFbIvrXzojvjl9SdmH5oTRkV5RhzsZVeGRk03vb7Ns3VjW5NzeZd0weHzLk+LNOW1JZTTU+2LoBc3f8Y6lJJ52NRfs17CBNArgyXR7fVxKIT3dsws8pu3DrgOG4pFc/eDjqAe0EkMBpZGSQGgYMiGvweGlpZYM6ulpQV2rsHqPlk0Oy/bdtS3f4eq21+de2rB8k59lhXVuZrtd74MweL+JA0UqkFqw4UhNZaiCXY2/eX2oI9o5VwVsJ4nq5H1/taCIicj11hmoUVO5X4/6eHeDrUd/hqmZTTgbqjnTMk+ARhGSYg7a9e7MTsuZy9dVX49NPP8Vnn32mAkW9evViLVuif8nT0xPPPvssbrrpJhW0TUhIUAHc0tJShIeHq/IHQqtXq3VaJqS+9NKlSxEfH69q32qB15deekmVNtGCtueff77q3EyeTzJnJUNeTJs2zfJc0gmafL6XLVumnk9aImr1dK3ne/3119UgQWLNddddp7J45TleeOEF7hN0UjFoS0T/mhz0Hhs5Eef+9Bkq6+rw1a4tOCuxJ/pHdmpygFBqmkoTeWfk8daWgSkXWT/u2Y43/1mD/Cpzb6bC38MDE6IyGmTZamS6PJ5eFoRaownF1VV4bu1SfLVrqypLMTE2ocU7rgoI8EGPHjJENXispqZOlVewzszdsuUA9u41Zwo1V6kMVyc1Cp11TGdmUnWOfT1D0afjBaqDruyyXUgtWI7DxRtgMNWquYqq0rEp4wtsyfwaUYGDVABX6hzrdcywIiJqzfIq9sBoMjS6NIKfVWl8dkLWfGbNmmVe1+vW4d1331XBH2lGLQHcAQMG4NZbb23GVyNqP2688UaVzSp1Znft2qUy2CVTVjoFk2CrM1LGRIK50nGYdAYodafvvfdeVdtWc8opp6jHZb4dO3ao4Gq/fv1wxRVXWDJ2hXympaSC1LaVYK1cQ/Xv3x//93//Z/PZlg4K9+0zdwqpkc7QhHVHZ0Qni850rArQpJSUlCAoKEj9uhMYGMi10sKMRqNq+iA9UEqHAeQaPtm2ES+tX67Gu4eE49tzLzuujFDbTqrqM2xbYydVkn08e91ypBSZMyeFrJMrew/AWQldsTL1Ufh7mDsecaSs1h0DOz+B73bvxC/76ptOiqEdO+OBYeOQFF7fE6ur27w5DXfffeyOPF59dVqbybQVFTX5qKozB6JLqjKw9uC7GB5zEwK9zSeq3u6BKmhrTzJt0wvXIrVwOQoqzFlY1nzcg1XHZVL/1lGHeK4iv3w/FqbMwildZyLML6GlF4dOAB6X2wdu5xNja+a32JXzmxofGXsLYkNGNJjn0l++wrY8c8Bg/K4g7NpgzhD79tu71TlSe9nGzXFNdu2116qs2mOVSJDL5JSUFNWEWobnnnsObR2veYnahm+21GcPuzpjnQ57fo1X493PSoXevfWEKC/pP/eEf9+63pGYiFqtK3sPRK8wc13UPYV5+GTbP8f1PBKY/eqrO3HLncMw+apsdSv3W1PAdm9hHm788yfc/L95NgHb0+O6Yf4FV+O+oWPRM6wTJnV9HF0j7lRDafkpyK30UrfaNHl8UMcYPDf+dHxzzmUY3KG+Y7P1WYdw8S9f4uFlfyK7vAytgVYC42ik8ziZry3x9QxTHXDJoAVq5Vab5ihgK6SmbdfwSTi120xM6fEMekRMgZd7/fqrrCtSF/q/Jz+IhXufwr78Jag1NCy3QUREriu7LNkyHuGgnm1pTTV25Js77UkMCkXqdnPWV2RkYLMGbNuLuXPnqjqan3/++VHnk0w86Wn+4osvPq6A7VtvvYW4uDiVVTh8+HCVweuMdJD05JNPIjExUc0vGYALFixwOr9kKMry3XXXXTbTJ0yYoKZbDzfffHOTl52IiFwDg7ZE1Gzc9XrMGn0K9Eea7L+9eQ3SS4qO67mkBELX7mHoNrhc3baWkgh5leV4YuVCXDDvC6w8LB2NmfWL6IjPp16MVyZNRUxgkGV6fHAXDI4apIaO3lGI8KlWt9o0eVzTJ7wD5p75H7w26SzEBJifQ36HlFq3Z37/Cd78ZzXKa2vgyrQSGMeap7raXBKA6gV5d8aAqMtwTtKrGBN3J6IDB0GH+kz2/IoUbDj0MX7eeQfWpr+nOrUxmcz1D4mIyDXJD22FFeaOKgO9ouDjEdxgno1Zh2E80jiyp18YqqrMx8hevVjP9nhJj/VSx1KaazsjnRlJB0fH45tvvsE999yDmTNn4p9//lFB2NNPP11lMTvy6KOPqubbb7zxBnbu3KkCrVKnU+soydr69evVvNIE3JEbbrhBNefWhhdffPG43gMREbW81hEFIaJWo3d4B1yZNECNVxsMeHLV36p5WVtXVVeH97aswxnffYLvdm+3XFx18gvASxPOwJdnXYKBHZzXbGosyZg4Na4rfrngajw4fBwCPb3Mr2+ow9ub12Lq93Px054dMBzprMQVScb0rFkXN8gO0gLzUhbj+efnwShFfakBvc4d0UGDMCb+TpyT9JoK5AZ612dgG4w1SCtcicX7nsdvyQ9gR/bPKK+pz/amE6OytggFFWlOB3mciMheXvkemGA8Rj3bQ5bxoJL6H+vYCdnx+/jjj1UG7YMPPqhqZDoiPcxrnSM11SuvvKKCp1KKQQK/77zzjqq1+dFHHzmcXzo/e/jhh3HmmWeqjppuueUWNf7yyy/bzFdWVqZqdb7//vsICQlx+FzyOh07drQMLO1HRNR6sSMyImp20weNxF9pKcgsL8XqjHTM35eMc7q2ntIGTSHB2d/378arG1Yiq7y+8yw/D0/c0G8oruo9EN7uzf9V6+nmhqt7D8I5ib1UsPbrXVtRZzIit7Icj674C5/t3KTq3Y6IinXZwO3o0T3ww/w/sadgPrqHno0Rg4bgtts+QllZFZYvT8Znny3FtGkTWnpRXZq3R6AqmdA9/HQUVKaqzsvSC9eg1mju8K68Jhfbs37E9qyf0ME/SXVeFh00GO56z5Ze9DZnX/5i7Mie5/Rx6WCuT8fzT+oyEZHry7EqjeA0aJtl7oRM2jHV7Ksvh9S7d8xJWMK226P9V199hQ4dOuDVV19VHQx98skncG+Gc7aamhps3LgRM2bMsEyT+sDSYdLq1asd/k91dbUqi2DNx8cHK1assJl22223YerUqeq5nn76aYfP9cUXX6jSDxKwPfvss/HYY4+pQC4REbU+DNoSUbOTgOXjoybhlr9+VvdfWLsUYzvHIcTbp02tbWmu+OK6Zdh+pGMQIaUhLurRB7cNHIkwnxN/ghzs7YMZIybgsl798cr6FViUbu7tdHdBHv5vwY8YHxOv6ucmBDuumdqStBIYptpydPUIQ2xsBB577ELMmPGlyrL95JOlSEjogLFj22bAvzlJBnaYb4IaJPP2cPFGFcDNLtt5pIiGCdllO9TgofdFbMhw1XlZqE+8+l/69xLDJiIqcKDTzuYcNXkmIsouq+9kNNJBPdui6iok5+eq8R6hEdi/2FzP1sPDDV27um4HlK3Fa6+9poKbkuWal5eHH374QfVy/2/I80iWrgSErcn95OT6IL01KZ0g2bnjxo1TdW0XLVqEH3/8UT2P5uuvv1alFqQ8gjOXX345unTpgqioKGzdulVlEku2sDyXs2CxDNYd4wh5Xe215TxBgs7SSZ116zln02WaPOZsuvV70qYLmb8x093c3NTzWk/XlsXZ9MYuO98Tt1Nb2fdgsm9Ury2b3XSd0XypYDPdBOhMR5ku1w66fzHdaL6rTVe31v/WyGVHy78nbf0fz3ZqbGtkBm2J6IQYFxOPKfHdsCB1r7rgeGndMjw77vQ2sbalTq9k1v4vba/NdAlMS4C0a0jYSV+muKAQvH7K2VifeUgFknce6bBk6cFUrDiUhkt69sOtA0e4ROA8t6JcDeJwRSngYb71zsuBf0IgLr9mHD7/aKl6/Nlnf8Jbb4Wq4C01jmTRdgkZqQYpi5BWuEIFcCXrVkgWrmSFyiBlFeJDxiIuZBS8PeprLVPTSVDWPjCrdTZHRORIjaECRZVplrrlXu4BDebZkHnIfI0JoH9oRyw+lKLGu3XrBE9PXso1h4ceekgFbm+88UZMnDgRv//+O8LDw0/qTjtnzhxVTqFnz57qAl8Ct1JaQSuncPDgQdx5553466+/GmTkWpP3oOnbty86deqEyZMnY9++feo57UkHa7NmzWowXeb39/dX49K7uTyPZCNLL+caWUcyHD58GOXl5vM6IesyODgYaWlpKutY07lzZ/Wc8tzWwa34+HiV4bx3r+15tXQCV1dXh9RUc81nLdDRvXt39XqHDh2yyZyWshKyfFlZWZbpEoCPiYlBQUGBCqZr+J64ndr6vude1MPmPdUF7waMHnAvSbBMM+kMMATvga7OD25l9a0zTW7VMATuh64mGG4VnSzTjR5lMPofhL4qDPqqiPrpXkUw+mZCX9kR+ur6c2Gjdy6MPnnQl3eGvtb8fSIMvpkweRXBrTQeOoMXjAY5ytW/N7firtCZ6ksB1QXuB/S1LvmetH3neLaT/Y8CzvBIT0QnzEPDJ6jOuEpralRnWVIiwVWb6zdGcXWVqlv7+c7NqLP6ku0WEqaCtWM6t3xwZminzvjmnMswP2UX5mxcheyKMhhMJny5awvm79uFm/oPxxVJ/eHp1nJf/98lr8YPu809KId5V+HCBOCzg0uRv3etmnZB0lCcckpfLFy4TXW28uijX+Ptt29AUBCb9jWVn2cYenc4F0mRZyO3fI8K3h4sXqfq3oqSqsPYkvk1tmZ+h6jA/qp8QqfAfqpuLhERnVi5ZbthOhKSdV4aoT44EFFVX9omKYmdkDWna665RgVMLr30UowePRr/+9//jvu55HkkI0+CMtbkvlzYOxIREYF58+ahqqoK+fn5KlNWgskSDBJSbkE6MRs0aJDlfyRza9myZXjzzTdVtqy8pr3hw4er25SUFIdBWynhIB2mWWfaSqBJ5tVq4WotciRTODIy0jKvNj06OrpBZpmIi4tzON1+ObTpEiizny4BMZkuHbtJp3G7du1SZSMmTZqEZ5991vJc2rJIQCwgwPzjR25urprnt99+U4EwWfeXXHKJ6hxOC3xLYE7ev2Qly/zy3JKpLHWD7777bsuyWb+n+++/X2VFa+t3zZo1luX46aef8N///ldtLy1r+ddff8WUKVMavCd7EuSznu7oPVlPDw0Ntalr7Arbie/JdbaTCmjaMAL6agfTAZN7ud108+uYPItQ51nSYLrROx9G74KG032yYPTJbjjd7xCM9pm28h0WIEFxHYx18lh959uGIPOPk/bz17nge9L2++PZTvJ93xi8KiOiEybC1w/3Dh2LJ1YuUvfldt75V52QGq8nUq3RgG+Tt+GtTWtU4FYT5u2L2wePxPndesNda4riAqREw7ndknBafDd8sv0ffLh1PSrr6lTwfPb65fh61xbcM3QMTovr1iJN4wdH5CPMzfbgemHCAct4XGgiBtx3AdLT87Bnj/R8XIQnn/weL754paWzMmoanU6vmt3KMMhwJQ4WrVMB3LwK86/DJhhwuOQfNXi5B6rMWwngSuYXERGdGDnHKI0g1mYctBzbTQfrz0HYCVnzO+uss1Qmq9yOGjVK1YI9HhLAGjx4sCpxcN5556lpklEl96dPn37U/5VgogRtamtrVakG6SxNSLbstm3bbOaVTFzJzJUSCI4CtmLz5s3qVjL7HPHy8lKDPXk+++e0NLu209TpzpbV2XSpNXz99ddbstMkqC3rZvny5diyZYtNIFzOa+V5JIg9YcIEVRpC3p+sJxl/8cUXsWfPHhVcFfJcixcvVoFaeR7JkpMArgyyzSRwbm3JkiWqBrKzZZcaxKtWrVLZdVrQ1tG6dPRetWVv7PTm2h7NtZ34nlxrO6kSAQ45mK5r6nRz6bVmm25/PdqUZW/h99TY70lnn4/G4NUvEZ1QF3bvg0EdzDUdD5YW493N5mzK1kB+Jfs7fR/O+/FzPLtmiSVg6+Xmhhv7D8MfF12Di3r0damArTUfdw/cMmA4fv/PNbigW2/L75uHykpwz+LfceVv32Jrjrk23snUr+PpOLXbLDX41l6N93b2ULfaNHncy8sDTz99KUJCzHXl/vknFe+8c/xZL1TPw80HCWHjMbnbozijx/PoFTkVPu71zX6q60qwO3cBFux+BH/teQIpeX+jxlDfTIuIiJo7aKtDhF/DoG1+ZQVSivLVeFJYJFJ21B+zmWl7/DIyMtC7d2+Hj40cOVIF3uQC+1gB1qOR7M33338fc+fOVdmht9xyi2ryLIFWcfXVV9t0VLZ27VpVd3b//v0qGCmZmRI0fOCBB9TjkmnZp08fm0EyM8PCwtS4kOa3Tz31lMrylODjL7/8ol5H6uT269cPrZE0M9YCpxdeeKFaP7I+ZX1I5rFk0joiAXIJ0goJ8ErwWtaHkIxmCawKWXelpaWq1vCGDRtUc3it07aVK1faPKc0c5f1KdnP1hnP1mSbSrD2gw8+aMa1QETtmWtGGoiozZDMkCdGn2IJbH60bSP2FNTX9XFVu/JzcN2CH3D7wvlIKym0TD8rsSd+vXAa7hw8SnW41hpE+vrjqbGn4vtzr8CITvU9TW/OycRlv36D+5f8gYwy62YiJ5bU/ZQ6nzK4oQOyKn3VrTZNqwsaERGIWbMuhru7ed/5/vu1WLDAnDFCzSPQuxP6dboYZyW9gnHx96Bz0FDodfW/BBdUpmLj4bn4ZcedWH3gbWSV7oDJ1Lj6S0RE5Fx1XRmKqsxZtMHeMfByr6/3p5E69ZqhHTsjOfmwGg8PD0BkJOuQHy/JqDxaZ2O9evVSQT3Jzjxe0gxfmvM//vjjGDBggAoaLliwwNI5WXp6OjIz64Pw0kz20UcfRVJSEs4//3yVbSvBY6mR2JQM34ULF+K0005Ty37vvfeqQOf8+fPRWkmna1o9UHkvQkpHjBgxQo3LOnXEulakfYkDIetJqNqf7u6YOnUqhgwZojJ5Kyoq1GNjxoxpUC9YSlx88cUXNuUKrMn2le1ARNRcWlcbZSJqlRKDQ3Fjv6H47+a1qDMZ8cTKhfj8rEtUQNfVZJeX4fV/VuHnvTttGkJItvADw8ahb0Tr7am5Z1gEPphyAZYdSsPsdcuwv9gcjP59/24sPJCCq3sPxA39hsLfs2EzuZbSt28s7rzzTLz88q/q/iuv/IrY2HBmGDUzCdR2CuyvBgkkHChcjdSCZSiqSlePG0y1SC9aowZfjzDEhY5BfMgY+HvV1+I6Wodz5dXmfW1/USGyK3Ms5VNkICJqj3LLJQvw6PVs12aag7oiFv6orDTXI+/du/4HWDoxpHn7unXrVAbs8ZJMXWfZutLM3tr48eOxc+fOJj2//XNILdqlS80dubYV0gGbxrr+p3Xw2xEJuEpJCAmMX3DBBZbyCBqpcWtNspOtaxBLhrOW5Sw+/PBDlbH79NNPW+oEExGdDMy0JaKT4ob+QxEfZC7CviU3C98kb3WpNV9RW4u3/lmNqT98gnlWAduYgCC8NuksfHrmRSckYJufX6rqtsqQl1+mpsmtNk0eb05SO2d8TDx+PP9KPDJiIkK8fdT0GoMBH2zdgDO+/wTfJm+16WitpZ111mCcd95QNV5ba8Djj3+DvLzmXS9UT7K9ukecitN7PIXTuj+JbuGnwtOtPgOsojYfO7N/xm/J92NxynNILViBOkN1g1Uo+9FFv3yphoeW/ammya02TR4nImqvbOvZOumE7EimrbtOD11mfW/USUnRJ2EJ27fCwkJVF3XixIktvSjkgHVHP45IhrJk05599tkqq1rKRUh9YS1z2cPDw2b+rKwsVb5COg2Tnt4lS1oCtVrg+K677lJlJqxLWhARnQzMtCWik8LTzR0zR03GNX98r+6/umElJsUmooNfw+aAJ5PRZMLPKTvx+sZVyDmSFSgCPb1w04DhuLxXP7XsJ8r8+Rsxd645KyI4qQaX3gj8PG8d5u40lwGYNm08rrlmQrO/rofeDZcn9cdZiT3w3tb1+HzHZtXhWkFVJWat+huf79yM+4eNw9jOcXAFt912OlJTc7BlywHk55fhsce+wZw518DTk4exEynEpwtCorugf6dLkFGyWXVellW61dLbeU55shr+OfwZYoOHq87Lwny7qh8HLu75/+zdB3hTdfcH8G8zuvfedNHSlj0FlC0CiooDfNW/iL6oCC5UFEUEF44XARVxK6IoooIKAirI3nuUtnTRvfdIm/V/zi9NmnTRQnfP53l+T25+9za5yW2b5OTcc/pirL+uU2ps3nlUKmLwxMDrEOqiq73HWbaMse5MH7Q1o3q2tmH1nvmjL8/U280D8eeN69lypm1roExLaupFTaqsrKxEYJACtxTse/vtt00aXrG2QdnDelTDtvayv79/gz9LpSb0dWz1tYx/+OEHsRwWVvdvjmrZUpmEG2+8UfwOUGkLaoBGtYJLS0tF1rW9vb3YtqKiwlC+gYK8hw4dQp8+fVrkMTPGmDHOtGWMtZkhXr64M1TX+KFMWYW3Dv9bZxs6nToqN1uMtHJdNiVd6uf0p1u3hMPpKbj7t/VYtO9vQ8CWslnuj+iPbXc9iAd7D2zVgC2ZOnUQPv30ETEefnicmKNL/Rytb032FpZ4bsgN2HLnA5gU2NMwH1+Yj8f+2oxHdmzCpYL2r0Esk0mxZMnd8PDQ1fCjun5UKuFKmRasZUglcvg5DsGooPmYGrECfT3vhp1FzYdXlUaBhPw92Bn3BrbFLMTF7K2wlVchwtVdDCfzIrEdXernOGjLGOuuFKpiFCl0WbSOVgEwl+oaHxk7alQaYZiXH6KiqrNuZRKEhnq14d52H/fdd59oMEXBPcq8pCAunUY/YMAAsY61vSFDhohma4TKExA6PocPHxbL1LCNUPkDGh999JHhZ2kbCrrrg6xPPPGEIcuWSibom5LFxsaaBIOpIRmhzFtjdFs0R0NfM5cu6bparW7FZ4Ex1p1xihJjrE3NH3IDdicnIk9Rjn8ux2Pn5TiM7xFiWL8x+hB+iTkqll0sFbgzCFiXsgd5l3Q1xe4MG4rHB064pn1ILMrH8mP78W9ygsn8OP8gPDvkBgRUl3FoCy4udmKQkvQMxOUAXp5OCPVu2w9kvnYOWD72ZtwfkY53j+7F2ZxMMX8g7TIObU4WwfZ5A4fD1ar9apA6OtrgjTfuwRNPfAWFQokdO84gJMQTd92la0bB2oaV3AnhHregl/vNyCuPE9m3yYVHROCWlFRm4GzGTziXsRGedn0R4HQ98st0HZjzyw5Cq71dZOIyxlh3lVNaU1vT3bZXo6URSKS9Gzal5InlkBAvPsuklaSmpuLJJ580maNT65966il8/PHHrXW3rBHU1Outt97Co48+KoK2QUFByMvLQ0lJCVxdXfHiiy+K7fT1avVNywjVn6Uav9RcjGrfFhXpvkB+7733RKM3fdCWGr9RczO6PQrgUlM4MnPmTHE5ZsyYOkkCNEe3TfVt9QFk8sEHH4ihz8QlDz30kMjipUZq77zzDh/va0DHnbKem4uyoRtqHsdYlw/aUnfFbdu24cKFC5gyZYrousgYYw1xtLDEi9eNxvO7t4nrbx7aLTJI9M2vImwz4BJR82GG3Bl02bDsYXX1pwQWKipEM7QNF8+Khmh64S5uosnYUK+2P93QuFlTakmx4dIqt32aNQ3w8Mb6W2ZgW2IsVhzfj/TSElFCYmPMeWyNjxG1iR+IHAhLWft850dB2hdeuA1Ll+rKbKxZ8xcCA90xaFBQu+xPd0aBV1ebnmIM8L4PKUXHkJS/T5RLIFRCIaPkjBh6VepsXMjajACnEbAxd4OZGZ/wwxjrfppWzzbFUM5InlOTxRcZ6dsGe9g90anvVNP0lltuMZmnU+z1p8WztvfII4+I4DnVmb148SIsLS1FpiyVrKBga0OouRsFcy9dugSpVCqakz377LOi3IXehAkTxHrajuIZFFzt27evyKxuqIlcY/Lz80U5BWPUDI0YNzpjV4caxl1Nsz36XaBAO2Od0VV96qZ/RvTiRbVeqMA3/ROl0xHo2yzq5HjbbbeJf6T0x0H/IBljzNjkwFD8dikK+9MuI6u8FKtOHMTLw3WNHpKOumDrDt233yp7MxRfbwP7/WWQFeu+4b75JhcgtHnPZ5VahfVRZ/DpmaMorqppmORubYOnBo3ErSHhkLRT5h81Y6JAMvG0KscjEcAHJw8is0JX0/bx/sMwd+DwNg/GTQkKw3j/YKyLOoXPzhwT5SzKVUpxrDZEn8Mzg0eKbdrjeRszJhLx8Vn47rt90Gi0WLp0I9asmQ0fH+c23xemI5NaIND5ejFKK7ORWLAfSfn7RdOy2ihoS0MqMYe9hQ8cLGn46oaVD6xkTpyJyxjrJvVsJXCzqfumJq2kCKmlui9y+7t7IS463bAuIoKDtq3l22+/xWOPPSaGvpYqNaEKCQnB2rVrW+1+2ZVRELWxEhX1lct6/vnnxWjM/fffL0Zz7d69u975JUuWiMFax6BBg+rUI1Yqlfj666/F8qxZs+o0mdNn2jLWLYK2p0+fFp0TDx48KE4poG+pKMuWvrWSSCQoLCzEH3/8IU4zuPXWW2FhYSG+qeQXOcZY7aDgKyPG4fZN61ChUuGHi2cwNbgX+rp7YerkGzBi6ACxXVxxHp4/+w+enXUrQux19axcXJr+oktv4P5KihMZoyklulOiiJVMhof6DMaDvQfBup4X9rZk3KypoioVcTkxeHf0JFiZ6z6UtWfdTwuZDP/tOwTTekZi9alDItuWsm4zy0rwwp7tWHfhlMhQHuTZ9l2sZ80ai4SELBw8GIuSEgUWLfoRq1c/DGtrXcY2az+2Fu7o43kHvGTjEZW1FRmqHfVup9ZUoaAiUQxjcql1dRDXKJhr6QsLGb/hZox1fhXKQhRX6oKwTtaBkEutGi2NMNTLF1G7LhmuR0ZyE7JrRYGdBx54AGPH6hIG9CgJiYJxVNeUSiUQX19fuLu7X/N9MsauHZU4qF3moKqqyrBMzQKppAZjXUmzzkssKCgQ2bPUOTExMRErVqzAqFGjRMCWODo64v/+7/9EvRmqJ/PVV18Z1jXH6tWrERAQIE59oDoxR4/q6lvWh75Zee211xAcHCy279evH7Zv397g9nQaBQWMKPjMGGs/VEN13gBdBil9N/7qgZ1QatSivis12KDh38NVrKdL/Zy+/uuVUE3W/9u6EfP/3WoI2FJO6B09I/HnXQ/i8QHXtXvAVh+U1TdmCnTUZYrSZUdq1uRiZY3FI8Zj0+334wbfAMP8+dwsPPDnRjy9awuSiwvbdJ8kEjO89NId6FH9O5KUlINlyzaLzFvWMWzZchJnEv5Fda8OA6pMUlluBo2CgrB1M7WV6nLklsUiPu9fnExbh3/jl2Hzhbn47cKT2B3/Lk6lfY+EvD3IK4uHUl1TM44xxjqDnFJdCRni0YR6toM9fHDxYqrhi2t3dz5N/1pRQhE1sPruu+/qXU9BWmpIRoMDtowxxjpNpi19G1n7G8mGUACVyiTQaI4NGzZg/vz5+OSTT0TAduXKlbjppptEnZn6XjQXLVokXnA///xz8e3ojh07RDFxygamTp/Gjh07hk8//VTUqWGMtb/7IwdgS0I0LublILYgF9+cOylqpl6L9NJirDx+AFsTTOviUt3c54fegHAXzpa4WiFOLvhk4u2iOdl7R/fiUoHu1Pe/k+JEU7f7I/rjkX5D4WBhibZgY2MhGpPNmfMFSksV2L8/Gt9+uwcPPsg1qzqCETda41RuTfaDHpWxtbDWYoDrAwjy6o9iRTqKFGmik7pupKFCmV/n5xSqIihKi5BVesFk3sbc1ZCZa1+dlWtv4QWppP2/lGGMsdr0db8bqmdLZwkdqa5naymVwaFcivJy3f/SiAg/Lh/TQvz9/UWjqczMTDz33HP1bnP8+HGRkRsVFcW/yIwxxtpFi3SSoRczqgG0bt06ESgNDw+/6lq277//PmbPni1OWyEUvN26davI2tV3hzRG9/nyyy+LJmhkzpw5os7u8uXLTb49pS6DVAeHgrtUe5cx1v5kEgmWjJyA//zxozjtfs3pw7gpsCf87R2bfVtUc/WLM8ew9sJJVKprGnYEOjjhuSE3YLRfIH/QaSEjfXrgutvuw6+XLuDDk4eQV1EOlUaDb86fxKZLUZg74DpM79VHNE9pbb6+LnjllTuxcOF6kWW7du0eBAV5YNSo+hu7tOfpsDQIBSmNL4mV3FGMroKCDkll26ozaevLfjYT63uaDYWzdaAYxqrUZdWB3DQUVaSiWJGKQkUqqtR1OwaXVeWKkV582ujWJbC18KhTZoHmJNz8jDHWAerZSsykcLWuW8+Wzlyhev9koIc3LkXrmhgRbkLWcqgGJp3d+cILL4hGUfTZsTa1Wi0ShxhjjLFOHbRdunSpuKQyBpTJGhsbix49eogAbv/+/fH444836XaoHgl1BFy4cKFhjsorUFfHQ4cO1fszlZWVIqvXmJWVFfbv328yN3fuXNx8883itpoStKXbpaFXXKxrBqDRaMRg7YuOAQUF+Fh0fhHObrgvvB/WRZ0WwdalB3bis4m3iwCrtvpvjS4bOtYULKRA4UenDiFfUXOqtKOFpWjidVdYbxE8pN+X+poUdCRaOm+8+rKj/25TKO7OnpGYFNATX547gW+rg+VFlQq8dXg31kedxvzB12PMFYLlLfGYBw8OwuzZ4/Hpp/+I68uWbYK3t6MI3nYUcbm7EJX9m8nckZRPDcsR7rch0qOmm3Fnp9Yoq5uQNfQ3pxXZtCp1Vb0ZsTIzK7hYhYgBp+qf0GpRqSpGUWWaCOLqg7rFlWlQaRS1bl2DksoMMVKLjhnmJWYy2Ft467JxKZgrGqH5wkru3KJf6nSmv+WWwq/L3QMf52tToSxASWWmWHayCoLETF7nf8ThdF2WLRni6YMLO2qu9+rl3er/Uzr6MW6p/aK6lz/88INook0l/7KysvDNN99AJmuRj8eMMcZYi2iRV6XAQF2GzIcffigu6YU+Li4Op06dEqOpqA4ufaNJL57G6Hp0dM2pRMaodAJl51JtXapru3PnTvz666/idvR+/PFHnDx5UpRHaKply5YZgtHGcnJyoFCYfjhk7fOGraioSPyuXU3dZNaxzPANxo6EWGQrynE4IwXrTx/FjT6ByC8oEOvz8wuQra17nI/lZOCTi6eRVFrTZEwukWBaj1DcFxIBW7k5CnLrdq/vqEqUNY9XKbdGZ3GPbzDGunjiq5iz+Cf9sphLKi7Ek7u2oL+LOx7rNQA9HZyM6qOXobCwXCzHXdZlm8bFp+OIShc0c3S0hpNT82r5jh4dhPPnQ3DgQBwUCiVefvkHvPHGHbCza5tSDVdir+mNgc49GlxvrrETjU+6kv6Oc6HUlInlY0nnILX/F+risRgS0EfMmUtskJer+51vDjO4woGGeX/AvDqYqylEmSoTZaoscVkuLrOhhcrkZzVaFQoVyWIYk5pZwEbmARuZJ6xlnoZlc4ltt/pbvhb8utw98HG+NlkVNZ+LbMz86v2/vzcpzrDc09IWX5zVva5KpRI4Ocla/bWiox/jkpKSFr09KsVHzYteeukl8VmUerPY2LR/PwHGGGOs2UHbhjpt1kbZKj179hRj+vTprfpMr1q1SpRToHq2dL8UuKX9pHIKJCUlBU899RT+/vvvOhm5jaFsX6qta5xp6+fnBzc3N9jbcwOA9kZvKOl40/HoiG8oWfO9OnI85u78Qyx/Gn0GU8L7wtlMl03h7OwEd7eaWrRxBXn43/H9oraqsYkBIXh60Ej42Tl0mkNAp8wrVLrT5mX0hVA+ILNWQG6pC2payjrHafN0dFb0CBTNyd47tg8ns3TB2NN52ZhzYAduDQnHEwOGw8PGFtu27cG33+4V65XOEuBmO2zceAyb84+IuQceGIWZM0c3ex9efvkuPP30WsTGZiA7uwRr1uzBO+/cJz7otr/uWEu55jFfzMoH5cHbWvkg2Me03nzLoC97w0xmNFo1yqqyDfVyi+myMq06y800A1itrUSxMlkMYxZSO11Grr5mrsjM9YFc2nggtjjvvLjUWhbA3aU1Hm/Hw6/L3QMf52uTnJpmWA5wHwR3W9PXBgqUnivIFcs2cjn6uPsjPV33HiEkxBO+vt7o7se4OZ/nmopK8FHg9pFHHhGfc//880+4uuoanTLGGGOdJmhLnTbXr1+PL7/8Evfff3+L7wy9OFItXDo9xRhdpxfS+tAbis2bN4vs17y8PHh7e4sX3qCgILGeyi3QN9LU/VOPsnD37t2Ljz76SJRAqK/+roWFhRi10ZuXjvgGpjuiN5R8PLqOMT2CMSmwJ7YnXkJBpQKv7P8bkwJ1td4SiwshlcpQWFmBzZeisC0xVtTA1evj6oEFw0aL2m+dTWLBHlzI2mwydzT1M8MynTLf23MaOou+7l74dsrd+OdyPJYf24eUkiIRHvst7iL+SrqEWb0HYfjYYCzop/ugmlJahFVxR/HAU+PhZ6sLtvdwc76q/7NWVrrGZI8++pnI5j11KkmUTJg3b1KLP07WPFRjVn/ZVq+hEkjgYOUjBjDUMK/WVKG4MrM6kKsvs5Aq6uLWVqkuQU5ZtBjGrOXOhjq5+qCuvaU3ZBJzEXSJz9sptqPLnq7ju009bX5d7h74OF97EzIq1eJmG1rn/yF9KZ2n0H1pO8jDBwlxNZ+JIiJ82+z/Z0c+xq21Tw8++KD4LHrPPfdg5MiR+Ouvv1rlfhhjjLFWLY/Qmp02qbbQoEGDRImD22+/3fBtL12fN2/eFb919fHxgVKpFKe16DN8x48fj3PnzplsS5m4lJlLheevtmEaY6zlzeo9WARtyZ7UJDHIwn31v3H2srHDM4NHYnJQGCSdNCgS7DIW3vYNZ+J1hizb+j7s3RgQgtF+AVh/8Sw+PX0ExVWVqFCp8PHpI/i4np+hwK2euVSKrXfOhLdt889qcHOzx9Kl0zF//lqoVBr88ssRBAd7YPLk7pHtyK5MKjGHk5W/GMaU6grRHI4CuEVGwVyFqqb8il65Ml+MjJKzRrNmsDV3h4XMDsWV1c3mKtORWXIeXva6khCMse6rrCoPZVU5YtnFOlh8yVPbkYya+rXDvPxw4XjNdW5C1vpuueUWcXYmXY4YMQKvvPJKG9wrY4wx1oJB29butEklCSgoPHjwYAwdOlTUGSorKxOBVkLBYArOUs1ZcuTIEaSlpYmGZ3S5ZMkSEehdsGCBWG9nZ4fevXub3AfVKXJxcakzzxhrX00NvFrKZHis3zD8X+QAsdyZUVC2MwZmm8JcKsODvQfi9pBwrDl9BD9ePAtVdYOmxlSp1ShUKK4qaEv69PHHU09NwfLlW8T1FSu2okcPN5GlxFhD5FIruNgEi2GsUlViCOCKUaEL6Co1umy4GlqUVmWJYexsxgZ42vXuNtm2jLH6ZZdeNCy724bXu83RjFTD8lAvP3wdtcNwPTLSj5/aFpKeni4+I9Zn+PDhoqE19U25UtIQY4wx1tpkHa3T5owZM0Szr8WLF4tsXgrGbt++3dCcLDk52eS0GCqLsGjRIiQkJMDW1hZTpkzBunXr4OjYNYMgjDHgw/G3YoSPaZYc67gcLa2w8Lox+E94Pyw58A+OZdbU9Gstt9wyCPHxWdi8+RiUSjUWL96ATz55BK6u9X9IY6whlDnrbttLDD0qgUBd4Gtn5VJAV1Or+VmhIgVJBQcQ6Hw9P8mMdWNXCtpS2adjmbqgrb25BXo6uuDiRd3rJTXn9PDoPPX6O7qGyu7phYeH4+DBg5g0aRIuXqw5bowxxlhbk3XETpv0rWZD32zu3r3b5Pro0aObXYah9m0wxjoXR4uWb0LBWl+AgxMWDB2Nu39ff8VtKSh2rebOvQmJidk4c+Yy8vJK8corG7Bq1YMwN+/c2dms/VHWrLW5sxhe9n0Nv7N/X1qKggoq62L6+3ss5Ss4WQXA0YqzvRnrrrJLdfVspWZyUR6htpj8HBRVKsTyEE9fpKbkoays0pBly9n6bcvX1xdHjx4VZ3UyxhhrGSqFVAxjGnXN2WiKInNIpHU/B8os1WJ0R9dUyZ0afn311VfYtWuX6LRJwVvGGGPsWs3953esPH5ANGW5WjKZFEuW3G3IToqOTsP7729pkYAwY7VR7dqCisQ6AVuihRo7415HXnkCP3GMdUOllTkoV+o+J7nY9IRUIr9CaQRfREXVXOfyPi1r3759osQfnanZGGtra5EgRAk/Tz31VAvvBWOMdT8FifZI2u1rMpL3UdNgHVquvT5pt6/4ue7qmtONuNMmY4yxlpZTUYbPzx4TI9TJFTcHh2FKUFiz69w6OtrgjTfuwRNPfAWFQokdO84gJMQTd911HR801mLoi4Bzmb+IZmT1BW2JSqPAv3Fv44agZ+DRQD1Lxlh3KI1QU2qlsXq2v/150HCdm5C1LGpgvX79etEDJTIyEtOmTRODyvKRyspK7NixA5s2bcKWLVtQXl4uatyyzq2kpASlpaXN/jkqwdhQDWTGWPM4BRbDzqus2U+brJtm2ZIWOUeUO20yxhhr6dNA9C3LYgtyEXs8FyuOH8AgDx8RwL0poKeoldsUFKR94YXbsHTpz+L6mjV/ITDQHYMGBfFBYy1Co1WhXElZ4Y1ncau1ldibsBwjejwOH4eB/Owz1k1klzVez1al0eB4dT1bZ0srhDi54MIF3XWpVILQUO823Nuub8iQIThx4gQuX76M3377TQRn33rrLfj5+SEiIgJ79uwRfVxuvvlmfPbZZ6K2rZVV095zsI6Ljjkd2+aibOsxY8a0yj4x1t105zIHbRK05U6bjDHG2sKnN01DYlEB/kyIwensDMP8iaw0Md46tBsjfXvg5qAwjPUPhrW87qmmxsaMiRSNyb77bh80Gi2WLt2INWtmw8fHuQ0eDevq6FTniT2XQKEqEdeLFek4kvIphvk9CntLb6i1SlzI/BVZpVHQaJU4kPQhhvr9FwHOI9t71xljbZCJr8+0lUrM4WxV9wvDi3nZKFVWGerZlpdV4vLlHHE9ONgDlpaNv8axq9OjRw88+eSTYuTl5YkALvVKeeaZZ0SQTio1rbvIOrdBgwYhLCzMZE6pVOLrr78Wy7NmzYK8nveTlGnLGGOdImjLnTYZY63J0dIS5lIpqtQNf/tG62k71rWPMTUtG+HTA/dF9EdKcZEI3m5JiEZCYb7YRqXVYE9KohhWMjnG9wgWAdzhPv6QS+r/kDVr1lgkJGTh4MFYlJQosGjRj1i9+mFYW1u02uNl3Ye1uYsYxihg62wdIJZHBT2LI8lfILnwELTQ4EjKZ6hSlyPU7cZ22mPGWFsorcpChbJALLtaUz1b2RXr2V68mGa4zqUR2oaLiwseeuihNro31h6oxEHtMgdVVbovS/SxDsqwZoyxjqTFW2jb2Njg77//RkxMTEvfNGOsi6N6pVvvnIlCha57clxBLhbu+wvLbpiIECdXQ9CvuXVNWec+xn72Dni0/1A80m8IovNzsDUhBtsSYpBZpqtLVqFSYkt8tBhOllaidMLNwb3Q390LErOabqQSiRleeukOzJ37BS5fzkVSUg6WLduMpUuni3WMtSaJmQzX+T8Cc6k14vJ2irlT6d9BqS5DhMdt3BmesW5Rz7b+etZHMlIMy8O8/bB381nD9fBw31beQ8YYY4x16aBtVlYWXnjhBVEPSF/vR6FQ4Pbbb8fbb799xQxdxhjTo2CdPmCn0eqqmgY5OiPC1Z2fpG5+jM3MzBDu4i7G/MHX40RmGrYmRGNH4iUUV1WKbQoUFfgx+qwY3rZ2uDmol6iB27M6IGxjYyEak82Z8wVKSxXYvz8a3367Bw8+yLXKWOszM5NgoM//wVxqg6js38Xc+axNqFKXob/3f8R6xlj3CtoqNWqczEoXy25WNgiwd8Ka6nq2JDLSr432lDHGGGMdTYt8OrjvvvswcOBAUfM2MzNTjLS0NAwYMECsY4wxxloSZdAO8fLFkpETsOc/s/HhhKmYHBgKC6P6c+mlJfj87DHcvuk7TNv0Hb44ewzppcXw9XXBK6/caciuXbt2D/burflQ3RpyyssQlZvd4KD1rHugLx/6eN0pgrR6sbl/4WjKl9BouTEDY12vnm20WJZJLA3lUoydz8kSZ4zoSyNotUBUlC5o6+RkAy8vxzbea8YYY4x1qUzb1NRUUcC9dpmEp556Ch9//HFL3AVjjDFWL3OpDOP8g8UoU1Zh5+V4bI2PxqH0ZKjp0y8FxQpyEXs8FyuOH8AgDx+RfXv/7NH49tPdYv2yZZvg6+uMoCCPVnmWvzl1HN/EnGpw/YNhA/D8yNF8hLuRMLdJkEuscTz1K2ihRVLBfijV5RjeY45oVsQY6/xKKjOgUBWJZTebUFEm5UqlEVJSclFWVmkojUBf9DDGGGOse2qRTFt7e3ts2bKlzvzvv/8u1jHGGGNtwUZujltDwvHpTdOw657/4qXrxojatsZOZKXhtYO7sLLiDGR3e0ARIBdZTtSYrKiovFX2yyq2Ck5bS8Sw26fLqqVL/RytZ91PkMsoDO8x1xDISSs+iX2JK6BUV7T3rjHG2qierUkTMk8/XDApjcD1bBljjLHurEUybb/99ls89thjYvj56eoupaSkICQkBGvXrm2Ju2CMMcaaxdXKBvdF9BcjpbgIfybEYEtCNBIK88V6lVaDdEsFcIM1zJRaFKdUYt7y9fj8lZmwlMtb9Nn+z63XYeLI3mL5QFwC/pd5DI/ePQYjQ4LEnIuLbZc7ulSKQt9wLq28Agq5FSyVFaIcBOGmgjp+jkMgl1phf9IqqDVVyCqNwu6EdzEq8FlYyLre7wXrfCqUhWIQrVaDEmUB5BXlhhrMVnJHMVjzg7aVKhVOZ+vq2XrZ2MHXzh4bomoybyMiOGjLGGOMdWctErTt1asXdu/ejezsbFEqgfj6+sLdnRsHMcYYa39+9g54tP9QPNJvCKLzc7A1IQbbEmKQWVYq1mvlZqgMMsdJlGLkt5/g9vBI3BzcS2TpUv3ca+XiYicGiS/NBzIBT09HhIaaZgF3pYDtzT+vRZXGuEZrLwBx+DAuTlwzl0ix9a6ZhqZ03ZmnXW+MCXoBexOXixIJ+eUJ2BX/FsYEPQ8ruVN77x7r5uLz/sWFrM2mk7rvvoRIj9vR23Nam+9Xp6hnW6arZyuXWMHRqkedbc7kZKBSrTaURqBSCFFRaeI61V0PC/Nu473untRqNY4cOSI+x1Iz7doeeOCBdtkvxhhjrFlB21mzZokXrbFjx9a7noK0HKhljDHWUdEH4nAXdzHmD74eJzLTsDUhGn/GxaBMrWsEozBT48fos2J429rh5qBeogZuTyfX9t79ToMybE0DtnXRetqOg7Y6rjYhGBf8EvYkvCdqYBYr0rAz7k0RuLW1aJ1ay4w1RbDLWHjbDxDLRRVpOJr6GYb6PgIHKx8xx1m29StSpKFSVSKW3WzDIKnOTG64NIIvSksVSErSnY0QHOwBKyuub93aTp48iTvuuEOcJUqB9vreN3DQljHGWKeoaUulDiZNmoTvvvuu9faIMcYYawOUQTvEyxdLRk7A/vsfxUyHCFgkVVHdBMM26aUl+PzsMdy+6TtM2/Qdvjh7TGSRMtYaHK38MD7kZdiYu4nrZVU5InBbWFET2GGsrVFQ1tk6QAx7S93ZAXSpn+OgbQvVs/XyQ3R0GvRxQy6N0DbmzJkDBwcH7Nq1C1lZWSgoKDAZ+flGaeWMMcZYRy+P4O/vj5kzZyIzMxPPPfdcvdscP35cfCMZFRXVEvvIGOtGcsrLxCD62qN0qc9QcbO2EYOxlmQulWHBnRNhkarCrxuPodJPDk2oFRQeEqirP0HHFuQi9nguVhw/gIEe3rgluBcmBvSEk6VVtzoYlIlUUlWJ7PIy5FaUiUv6m80uLxXXc8rLkVqi65bOmo+yaseFvIQ98e+huDJdZN3+G/8WbgicL7JxWcep71ofru/K9LLLjIK2NnWDttQAk8ojEH97R3jZ2uHvqJOG9ZGRuj4hrHVduHABGzduxOjRo/mpZowx1vmDtl9//TVWr16NF154ARkZGVi+fHm9dYFiYmJaah8ZY93IT9Fn8fHpIyZzC/f9ZVh+vP8wzB04vB32jHUHc+fehMTEbJw5cxlIVKJPby+MfmQwdly+hNPZug/X5GRWuhhvHdqNkb49cHNQGMb6B8O6hRuYtXUwtriq0vDFCQVhc0QQVn9dH6QtNdRgZK3DWu6McSEvixq3VN+2Sl2GPQnvYmTAU/C0i+SnvaPVdzXC9V2ZvmFbTqmunq251EZk0dd2KisdKo3GUBqBREXVZN5ypm3bCA0NRXExn0HDGGOsiwRtzc3N8cMPP8DDwwMrVqwQp5F88803kMlapKcZY6ybm96rrwh+EY1WI05Lc3Z2Nsm0Zay1yGRSLFlyNx577HNkZRUh4XwGem5NxncvTEdqSTH+TIjBloRoQxa4SqvBnpREMaxkMozzDxYZuMN9/CGXSA23SyUVqH4rSS0vNlxG5epqFzpaWrZabVcKxhZVKkQAVp8VmyMCsuU1GbJ0WVGGqhYKxtrI5ChT6WoEs6tjIbPFmKAF2J/0AbJLo6DSVGJf4vsY7j8Hvo6D+WntAPVdixXpOJLyKYb5PQp7S13DKC4VwEihIlV82ULcbMJgdqV6tl6+0Gi0hqCtg4M1vL25CWFboM+zTz31FPr16yeaazPGGGMdyVVHWleuXAlPT0+89NJLyM3NxS+//AIbGw6mMMaujXH5A41Gg2w14O7iDomkWSW4Gbtqjo42eOONe/DEE19BoVBix44zCAnxxF13XYdH+w/FI/2GIDo/B1sTYrAtIQaZZaXi5ypUKjFHw9HCEjcFhooAroe1DW759ds6AdGVsUfEIOZSKbbeObNZgVsKxhZSMPYKWbFUrkB5haZgTWVvbgF3a1vD36mblQ3c9cs0b6VbpqD23b+vv+LtXSrIQYSre4vsW1ckl1phVOAzOHR5DdKKT0KjVeHg5Y8wWPMQgpxHdahSAZRZWKIsgLyi3BCg6oqlAup7TBSwpdqujDWnnu2RjBSTerapqXkoKdF9uRcZ6SsaYLHWN2/ePFH2r3fv3vD29oajo+nfNx2HM2fO8KFgjDHWLq4pPfbFF18UgdtHHnkEY8eOxZ9//glXV+6uzRhjrHOjIO0LL9yGpUt/FtfXrPkLgYHuGDQoSHyAC3dxF2P+4OtxIjMNWxOisSPxkigvQCiYuiH6rBiuVtZXzGCl9ZSJS0FbDQVjFRW6rFiTQKyuZqw+Wza3ouWCsQ4Wlrrga3XQlQYFZ12Ng7JWNrBo4bNqXtn/D8qUKvwnvC8HKBoglZhjRMA8HEv5CkkF+6GFFsdSvoRSXY4wt0nocKUCjHr2cKkA1l1dKWhbpqzChdwssRzk6Cz+x26PumRYHx6uK5fAWt+gQYP49YcxxliHdc2fvh588EERqL3nnnswcuRI/PVXTe1JxhhjrLMaMyYS8fFZ+O67feK01aVLN2LNmtnw8XE2bCMxM8MQL18xXrpuLPanJeHP+Bj8m5wAhVoltqHgalMs3LsdpUqlKFVAZRdaAjVJMwnEWtnAtTog62ZtLda5tkIwlso9yMwkV3wc1OTtzcP/4lR2OpaMHA8buXmL7kdXITGTYqjfw5BLrXEpV/c+63T6D6hSlaG35x3tFnAwLhVQVJGGo6mfYajvI3Cw8hFzXS3LlrGmoNJOOaW63h4WUjs4WOr+HozRl336Jpf6erYXLtRk3lKmLWsbVOaPMcYY66ha5FPaLbfcgr///ltcjhgxAq+88kpL3CxjjDHWrmbNGouEhCwcPBgrTltdtOhHrF79MKytLepsSyUOqKYtDcqi2nk5Hlvjo3Ew7TKaEoKNq66T2xTOllamWbDVpQlqruuCsbRP7cHDyhaB/6qRW106ojYtxRh726LQXxdspFrBVHJi5bhbEOxYExRnNajkwADve2EhtcH5rE1iLir7d1SpyzHQ5756a2a2ZakAKo9A7C29uFQA69YKKy5DqdF9Wedm26vev03j0gjDvHVNyvT1bCUSM/TqVTfQyzofat793nvvifILVDP3ww8/xNChQ+vdVqlUYtmyZVi7di3S0tIQFhaGd955B5Mm1X9Gxdtvv42FCxeKerxUtlBPoVDg2WefxY8//ojKykrcdNNN+Pjjj0U/GsYYY108aJueng47O7t61w0fPhz79+8XLwxUG4gxxhirj/50f6Jv6EWXxs3mOkrDOfrw/NJLd2Du3C9w+XIukpJysGzZZixdOl2sawhljN4aEi4GBW1n79AF2a7ExdIartbWukxYk1IF+tIFtnCxsm63YGxTUFby5s1HUZRSDHljG+4pxlOLJ+CL1DMiyE2/AzN+/wGvXT8BU4LC0NkY13elBlXGly1V35UyaiM9bxcZt6fSvxdzcXn/QKkuw1D//0Jixk1hGWtvpqUR6m9sZdyEbIinL8rLK5GYqGtMSaV4rKz4rIO2tG7dOnz66aeIjY0VQc/aiot1DUSbY8OGDZg/fz4++eQTDBs2TARW6XNyTEwM3N3r1nJftGgRvvvuO3z++eeiIdqOHTswbdo0HDx4EAMG6M5o0Dt27JjY3759+9a5nWeeeQZbt27Fxo0b4eDgID6X33HHHThw4ECzHwNjjLH216x391S/tjHh4eHihYW+Ebx4seYNC2OMMab3U/RZfHxa14BLb+G+mtI6j/cfhrkDh3eYJ8zGxkI0Jpsz5wuUliqwf380vv12Dx58cEyTft7RwqpJ2/0wdQb6unmhs0pOzsXff5/FP/+cQ2amLnh5JcEae/x063/wzK6tiC3IRYVKied3b8OprHQ8P3RUhw5ON6W+65GUT1ulvmuo20QRuKXatlpocLnwEJSaCgzvMRcyCQd7GGtP2aXRjdazLapU4GKeLkAb6uQqyticOJGA6moJXBqhjVGgdPbs2aLkH32Ofeihh6BWq/HHH3+IpmQPPPDAVd3u+++/L2531qxZ4joFbymY+tVXX4m+MPUFjl9++WVMmTJFXJ8zZw7++ecfLF++XOyjXmlpKe677z4R3H3jjTdMbqOoqAhffvkl1q9fj3Hjxom5r7/+WnxGP3z4MK677rqreiyMMcY6SdB23759OHr0qPjWLygoqN5tfH19xTb0bd7u3buxadMmrFq1qqX2lzHGWCc3vVdfjPUPNtT+y8/Ph7Ozs0mmbUfj6+uCV165EwsXrheZpGvX7kFQkAdGjaq/K/jVkJl1ngClXkFBGXbtOi+CtTExNVmlTeXiYocAByesnzoDrx3chd/jdF/4rr94Budzs7B87BTRnK0zMK7vWp+Wru8a6Hw9zKXWOHj5Y2i0SqQXn8behOW4IfBpyKVN+6KAMdayNFo1csp09WwtZQ6wt/Cus83xzFRoGyiNQCIidHOsbVBQlEr7USD1s88+w+OPP46BAweipKQEEydOhK2tbbNvs6qqCidOnBDlC/QkEgkmTJiAQ4cO1fszVMrA0tLSZM7KykqcyWps7ty5uPnmm8Vt1Q7a0n1SmQVap0dZu/7+/uJ+OWjLGGNdPGhLLyT0zd2CBQsQGRkpgrc0+vfvb3ixoVM5KFC7ZcsWlJeXi9NAGGOMMT3j8gcajQbZasDdxV18oOnIhg4NwSOPTMAnn/wtri9btgm+vs4ieNudVFYqceBAjAjUHj0aJ4LYxqhsxMCBgSKIS3WAG5ORUQh6C2Elk+OtGyZioIc33jq8G1VqNc7mZOLu39bj3TGTMdKnBzq6lih/0Fw+DgMxKuhZ7E9cCZVGgZyyaPwb/zZGBz0HC1n95awYY62noCJJ/C3W1LM1a7Q0wlAv3zpBW25C1rYuXbokmmlLpVIx9KUQqCTgCy+8gKefflqUOWiO3Nxcka1bu44sXY+OrsnENkafmSk7d9SoUQgODsbOnTvx66+/itvRozq1J0+eFOUR6kO1c83NzUWGcO37pXX1oc/vNPT0j5/uV3/f9HtM79HoPZtWnxLeyDzN0bqG5o0fk36e0PZNmafjRLdrPK/fl4bmG9t3Pdovut4VHlNXPE4NzRvvp36bzv6YWuI4QVv7c5V+32rNm2mg+ybReF4LmGkbmafXNrNrmNforjY438R9R/s/Jv3zfzXHyXi7FgvaDhkyRHyDd/nyZfz2228iOPvWW2/Bz88PERER2LNnj3ihoG//6JtKKpNA3xAyxhhjXcH06cMRF5cpSgAoFErRmGzNmtlwcLBu8GccLS3Faf4UiGwIraftOioKzJ4+nSQCtXv3RqG8vKrONj17euLGG/ti/Pg+cHa2xd69F/Hqqz81ervvvvsbEhOz8OijN0IqleDusD6IcHEX5RLSSotRWKnAozs24fEB1+Gx/sMgqScA0t152IZjTPACkWVbpS4TQaOdcW9iTNACWJtzUzfGOlJpBOOgLf0/G+zhIz606YO29vZW8PHhv9u2RHVf9UFLHx8fREVFYcwYXfkj+pCdl5fXJvtBZ6ZSOQXKjKUP+BS4pdIKVE6BpKSkiKZj1Py7dkbutaDmZ0uXLq0zHx8fb8gypufIy8sLWVlZogSDnqurqxjUOK2sTNerQF9SkQLHSUlJIuvY+Ixcuk26bePgVmBgIGQymQigG+vZsydUKhUSExNNAh2hoaHi/lJTa77soBgEnQlM+2ccoLaxsRGxCjqri4LpevrHlJ2dbfKYad87+2PqisepscdkPE9fOri5uXX6x9QSx0lWaNofQuUYA2jkkBXXnDGvNVND7RgLM5UNpKX+NfPSSqjtE2BW5QhpeU3pNo28FBrbFEgULpAo3GrmLQqhsc6ApMITksqaL400ljnQWOVCUuYLibLmrAW1dQa0FoWQlgTCTF3T3FltmwytvAzSohCYaWvOQFTZJwASZYd8TPrfnas5TrW/FGiImbap4d0G0AsZBXDpBW7y5MniRY6+gehq6B8A/YHRH5a9fec4VbMrE9l52dmikH9Hz85jV4+Pc9fXGY8xZZo++eTXiI3NENcHDAjEu+/eB5ms4de+dApAVjc3ORAdj5WxR/B06DCM7KUrE0EB245YBoAa4/z11xns3HkeOTl1G7G4u9tjwoQ+mDChr2ieUxsFbj/6aLvJz7q52aNHD1ccP55gmBs8OBiLF98JOzvdF70UrH1p7w7sSal5s0zZtu+MniTqP7K6ihRp2BP/LipUunrC1nIXEcy1s2i8H0FLyStLwD9xSzEh5FW42NRfQquryS9Pwt+XXsWNPZfC2ToA3UF3PM7NsSfhf8gsOSeWp/R6p87fX35FOW744TOxHOnqIWp6p6Tk4YEHPhJz113XE8uW3Yv21NFfl1v6M9ltt92G66+/Hs8//zyefPJJ0UCMyiXI5XK8/fbbCAkJEYHS5qAP7NbW1vj5559x++23G+ZnzpyJwsJC8dm5IdQIjT5fe3t7i5INdPbqhQsXsHnzZnGGq/HnbAoq67PzKPBMCVTjx49HQUGBSbZtjx49RMYwNSlrSqatPtCkf367cgYnPd/vvPOOmKOziS0sLDr9Y+qKx6mxefr9fffdd8U8/c3QMezsj6kljtNPZx7qcFmpXTHT9q4+X1z1caL/t/S/+kqvZ9fcZtjFxUUUbGeMMca6AwsLuWhM9uijn4marqdOJWLNmr/wxBOTG/wZCsjqg7KXrXPEpa+1PSJc6wY621teXgl27jyHv/8+J7KK62vMRrV8J07sh759e4hyCA2h7UaODMPnP+/BZ+eP4ZHeQzD7rtEiq/b334/jgw+2Qa3W4PjxeNHojZ7XgAA3OFpY4qMJt+LLs8fwwclD0Gi1OJB2GXf9th4rxk5BX/fO27CttThY+mBcyCLsSXgXpVXZKFfmiYzb0UHPw8mqJtOAMdY6NFoVcstixbKVzBG25nVL5xzL5NIIHQ3VnaWzSMlrr70mlinASR+86SzTTz+taSjZVJR5N2jQIFHiQB+0pduj6/PmzWv0ZymLljJ+qTbtL7/8gunTp4t5CsaeO6f7QkCPMnEpM5fKOFAwie6Tgs10P3feeafYJiYmBsnJyRg+vP4GrxTgolGbvlyEsYaC+M2dbyjBqznzFARpznxT9pF+Tn+9qzyma5nvLI/J+Hb0JWk6+2NqznyDCZMUuKxXPfNmzZ2noKS2Feebse/t/Jia+n+yod+ZprjmoC1jjDHW3VC26NKl0zF//lqoVBr8+utRBAd7YsqUhhtRdWQVFVXYvz8af/11FidPJtSpU0tBVqrpS+UPRowIFYHrpqKf9Q92Q2WZubik6+TWWwejRw83LFnyEwoLy5GWlo+5c7/Ayy/fgREjwsSpw7P7DUUfNy8s2L0NeYpyZJaV4P/+3IgFQ0fh3vB+TX6z013YWrhhXMjL2JPwHooUqahUFePfuGW4IegZuNmEtvfuMdal5ZcnQqWpNJRGqO//0xGjerbDPPX1bFMMc+HhujnWdqg5l75BF2U8URasPvv0WjJ5qQ4uZdYOHjwYQ4cOxcqVK8UpzxRoJQ888IAIzlJ5AnLkyBFxWjT1iqHLJUuWiEAvZX/qa+z27t3b5D7o9GtKoNLPUwbyww8/LO6bGrzS/j/xxBMiYMtNyBhjrHPioC1jjDF2Ffr08cdTT03B8uVbxPWVK7eK0/4jIztH52/KcD15MlHUqd2376Ko0Vtbr14+mDixL8aOjYSjo655XEvq16+HqAn8yisbRFYv1cqlOsEPPTQO9913vQh6XOfth4233Ytn//0Tp7LTodJoRLOyU1npWHr9BNjIzVt8vzozaoY2Lvgl7E18H3nlcVBqyrEn/j2MDHgCXvZ923v3GOuysksvNqGerS5AKzOTYKCnj1i+cKG6xq3EDOHhujnW9rZv3y4afFHt2EWLFsHf3x979+4V5RGoVEFzzZgxAzk5OVi8eLGoc0nBWLoPfXMyyn41zsii0/TpfhMSEkT9wylTpmDdunV1mopdyYoVK8TtUqYtBZ6pwdnHH3/c7P1njDHWMXDQljHGGLtKt9wyCPHxWdi8+RiUSjUWL/4Jn3wyW2TidkRUY4mCoxSopTq1+fmldbbx9HTEjTfq6tT6+7u2+j7R/X3wwSy8++7v2L37AqgM1Jdf7hLP64IFt8LKyhweNrb4esqdWHHsANZeOCl+bltiLGIKcrFy3C0IduTGPcbMZTaiEdmBpA+QWXoeam0V9ietxDD/R+HvOKzVjylj3ZFp0LZX3fXlpUgsKhDLvd08xBdO5eWVonY4CQhwh7V13dPUWeuiwCqVMDh8+LCo5UpB28cee0wEbakJGGWzrl69+qpum0ohNFQOYffu3SbXR48eLXrENEft29CXV6D9vdp9Zowx1rFw0JYxxhi7BnPn3iQ+dJ85c1kEQRcv3oBVq2bB3LzjvMRmZxeJOrVU/iApSVdT15itraXIpqXyB717+7V52QEKzFIjspAQDxGwpcAtBXBTU/Pw+uszRGBXLpFiwbBR6O/hhUX7/kaZsgoJhfmY8fsPeO36CZgSZNpRtruTSS1wfeDTOJz8KVKLjkGjVePQ5TVQqisQ7KLrjM4YaxlqjRK5ZboO0tZyZ9iY161XftSoNMLQ6tIIMTHphnI0ERGcZdseqH4tBW7Pnz8vOsZTPVq9CRMm4I033miX/WKMMcZIx/lEyRhjjHVCMpkUS5bcjcce+xxZWUWIjk7H//73BxYuvL1da66WlVVi794okVV7+nSSCIQak8kkGD48VGTUUsfy9g4y03N13303IDDQHW+++asolUBZwXPmfI4lS6aLUgpkYkBPhDq54pldWxFbkIsKlRLP794myiU8P3QUzBtqyNDKcsrLxGiIm7WNGG1JKpFjeI/HcTz1ayTm7xUNE2i5Sl2GcPeb23RfGOvK8srjodYqG61nqy+NQIZ5+5mURiCdpbROV7N161Z8/vnnCA8Pr9PdmzJvU1NrjhFjjDHW1jhoyxhjjF0jqvf6xhv34IknvhK1YSlQ2rOnJ+6+u/5uza1FpVLj2LF4cf8HDsSgqkpVZxvKpKWM2jFjImFvb4WOhpqQrV79X1HblpqTUZOyZ5/9Fk8+OVk0LyMBDk5YP3UGXju4C7/H6U5JXn/xDM7nZmH52Cnwtm378hQ/RZ/Fx6ePNLj+8f7DMHdg2/4+EImZBEN8H4K51AYxOdvE3NmMn6BUl6GP593czI2xFpBTGt2Eera64B+dNdDfXVcjNSqqJiAYEcFNyNqDSqUSJRDqU1BQYJJ5yxhjjLU1DtoyxhhjLSAkxBMvvHAbli79WVz/5JO/Rdbo4MHBJlmYqeXFhsuo3OxrzsKkOrV0ii2VPvj33/MiyFmbj4+zCNTS8PZ2QkcXEOCGNWv+i9de+wXHj8eLpmkrVmwVmbdPPDEZcrkUVjI53rphIgZ6eIvGZFVqNc7mZOLu39bjndGTcL1vQJvu8/RefTHWP1gsU9mGF/ZuxzujJiGout5uW2fZGqOsv35eM0Tg9lym7vfzYvZWVKnLMdDnARHYZYy1XhOy9NJipJQUieV+7p6wlMnE/2590NbOzhK+vi58CNrBsGHDRO1aavxV248//oiRI0fycWGMMdZuOGjLGGOMtRDKXqUGWt99t0/UKXzttZ+xZs1sbM6KqZOFuTL2iBhXm4WZmVkoMmpppKTk1VlPWbTjxvUWgVrqSN6epRquhp2dFd5++1589tk/+OmnQ2Lujz9O4PLlHFEuwcnJRjymu8P6IMLFXZRLSCstRmGlAo/9tRmPD7gOj/UfBkkbPe76Au8UsI1wrVvbsj3QcxXhMRXmUmucSFsnSiXE5/0rArfD/B6BVMJvCRm7GmpNFXLL48WyjbkbbMzrNnA8YlwawUtXBiE9vQBFReWGLFuJpHP9j+4qqGbt2LFjMWrUKNx1113if+XmzZuxbNkyUTph//797b2LjDHGujF+h84YY4y1oFmzxiIhIQsHD8aipESBl1/+Ea/97z+GLMzLyTmiZuvLL9+BHv5uzcrCLCmpwO7dujq1584l11lPGahUXmDixL4YMiREXO/MpFIJ5syZiKAgDyxf/geUSjXOnk0WdW6pQVnPnl5iu0hXD2y87V4s3LsDe1ISQeV7V586jNPZGSLr1smy45WBaC8hruMhl1rjSPLn0EKNlMIjUKkrMCJgHmSS5nWuN84gL6ssEJcJhQXIqrj2DHLGOgsK2GqM6tnWx6QJmZeuDMKFCzWBXC6N0H6GDx+Of//9Fy+++CKeffZZkQH95ptvivmdO3di4MCB7bh3jDHGujsO2jLGGGMtiLKlXnrpDsyd+wUuX84VmaGfrdyB116bIdbJ8tWQ52sQbOuM0CZkYVKg8siRSyJQe+hQrLheGzXpooza0aMjYGtr2eWO50039YO/vysWL96A3NwS0fCN6gcvWHCbyCYmDhaW+GjCrfjy7DF8cPIQNFotDqRdxl2/rceKsVPQ110X4GVAD6fhkEutcDDpI9E8KaPkLPYk/A83BD4tSihcTR1fT6tyPBIBvLh3BzIrrNu1ji9j7VcaoVed9RQE1AdtLaUy9HXzrFPPlpuQtS8K0O7ZswcVFRWijq2joyOsrXX/xxhjjLH2xEFbxhhjrIXZ2FiIxmRz5nyB0lKFaAq2du1ukYXbFPQhn7qKU6B29+4LKC6uqLNNjx6uIlA7YUJfeHg4dPljSCUePvlkNhYv/kkEOyorVXj99V9EVvNDD40TAXEqhTC731ARoH3+323IU5Qjs6wE//fnRiwYOgr3hvfrdGUiWou3fX+MCnoO+xNXQqmpQG5ZLP6Nexujg56Hpdy+2XV8Y/POo1IRgycGXodQF10gnbNsWbcL2trUzbRNLikS/4fIAA9vmEtlJkFb+pfUq5dPm+0va5iVlZUYjDHGWEfBQVvGGGOsFVBTmVdeuRMLF64X9W2//XYvAgLcRRCXUPOw4GAPUQJALy0t31Cnluod1kZ1XMeP7y0CtaGhXt0uAOniYocVK2aKpmTbt58Wc99/vx8JCdmi3AQFy/U1I6lcwrP//olT2elQaTSiWdmprHQsvX4CbOTcDVyfFTgm+EXsTfgfKtUlKFQkY1f8mxgdtAA25lduimRc/qCs0gEJCsDH1qHD1PFtbXnVdUzp0tm6bRvfsY5BpalEfvXvga25B6zNdY0HjR01qmerL41QUVEl6p8Tel3Q/+9ibeOhhx5q8rb0Ovvll1+26v4wxhhjDeGgLWOMMdZKhg4NwaOPTsCaNX+L69SYTO/997dg3bq9eOihsVAolCJQa3y6rJ6FhQzXXx+OG2/sg8GDg02CvN2RubkMCxbcKgLea9b8JQLiVDaCylFQdrO+A7uHjS2+nnInVhw7gLUXToq5bYmxiCnIxcpxtyDYsW5wpTuiYOO4kJewJ+E9lCvzUVKZiZ1xb2BM0POwt/Ru793rsCgbPi73H7FMlyEu47rdlygMyC27BI1W3WBphNr1bPVNyOhLO/rfRbiebdv75ptvYGdnh+DgYPG33Bj+u2aMMdaeOGjLGGOMtaK77x6OAwdicfbs5TrrcnKK8c47v9WZp9jPwIFBmDChD0aNCoe1NWdhmT4/ZrjrrusQGOiOpUs3ioZvVD+YylFQdjMFy4lcIsWCYaPEKckv7/sLZcoqJBTmY8bvP+C16ydgSlBYKx75zoOCs+NCFmFPwrsiaFuhzMeuuLdE+QTOIK0f1QEurkwXy3SZVHBAlJygZm4SMxkHerplPdu6pREoIHikOtPWWiY3ZKEbf0HHQdv2qWF7+PBhqNVq3HvvvbjnnnvQo0ePdtgTxhhjrHEctGWMMcZaEWVTpafnN2nboCB3Uad2/Pg+cHNrWl3R7mzQoCCsWTMbixb9iKSkHFF6gspRUHYzBcv1GVI3BoQg1MkFT+/aitiCXFSolHh+9zZRLuH5oaNgLpVe877k5ZUgL69ULF8u1R3vy8k5ovEccXGxFeUdOioqhzAu+GWRcUtlEqhcwr/xy3BD4DMNZhB2FypNFYoUqSisuIyCimQUlCchvyLRZJujKZ8bls0ggUxiCZnEHDKpJaQSC8glFmKOlmWGYQmZ1Gi5kXX0c1IzebsHg/PKEwyXLjZB6KoqlIViNMRK7ihGdml0o0HbhKIC5FWUi+VBnj7iiyRCNcv1IiN1JRNY2zlw4ACSk5Px448/Yv369XjppZdEIJcCuNOnT4erqysfDsYYYx0CB20ZY4yxVnTuXDJyc3VNaBrz3HNTcfPNA/lYNJOPjzNWr34Yb721STR8oyA5laOIi8sSzymVUyA9HJywfuoMvH5wF36L02XHrb94Budzs7B87BR4215bkPyPP05g7do9YlnpLAFutsObb/4Keb5GzM2cORoPPjimQx9fakA2NmQh9iWuEI3JVBqFqHc7ImCeyCLtDipVpSisSBaB6wIRpL2MEkUGtNAdx6agbZWacjGgarl9M4NZ3cCv1DjYWyvwW71OFzQ2/rnq7aqDwlIz8yYFg0VJiLydYpkue7qOb/cgcmuJz/sXF7I2N7g+0uN2hLlNRn65LnhvZ+ElgriN1bPVl0ag5zEqSjdva2sJPz8OELYHf39/LFiwQIyoqCj88MMPWLlyJZ5++mmMHz8eTz75JCZPntwu+8YYY4zpcdCWMcYYa0WUgdkUlpZyPg5XicpHvPbaDKxdu1s0fCNUIzglJVfM67OWrWRyvHnDRFEugRqTVanVOJuTibt/W493Rk/C9b5X30xq6tRBGDFCV27hQFwC/pd5DA8/PA4jQ4IMmbadgbnUGqODnsPBpI9ECQC1Von9iR9gmP9s9HAajq6CAmdUw1eXPXtZBGrpslyZd9W3KZdYwcHSD2ptpWhQJYaaLhXNCvo2uM/QQqmpEKNlmTUp8FupKkFJdUkIuswsOQ8v+z7oioJdxsLbfoBYLlak40jKpxjm96ihzjMFaOmLDS3UDWbZEn1pBOMmZBkZhSgs1GXfhof7QCLpmoHvziQiIgKvv/46Xn75ZSxevBjvv/8+rKysOGjLuq3Ir1ais5BqtLizennwt6uh7kT/Uy889HR77wLrBDpk0Hb16tV47733kJmZiX79+uHDDz/E0KFD691WqVRi2bJlWLt2LdLS0hAWFoZ33nkHkyZNMmxD63/99VdER0eLF+ARI0aIbWhbxhhjrDU19ZT4jnzqfGdAgY9Zs8YiKMgDb7+9WTR3i45Ox2OPfY7XX59hqBtJmYF3h/VBpIsHnt61BWmlxSisVOCxvzZjTv9heKz/MEglzW/2RsdPfwzjqTxCJuDp6YjQUC90NhSkGxnwFI6kfIaUwiMiMHU4+VMo1eUIcR2PzoYaRZVUZojSBvoSB3RZpS674s+aQQoHSx84WvnDyaoH1FoVzmZsqHdbCqZGeNxaJ5BJAWKNVlUTyNUoDMtqEdhV1LtO1cg68XMahaEJ1rXRVt+2AkBRk3/qRNpaTLZ9G1JJh/w4cU305Q+MUcDWuMZzbM4Ow7JHPUFbjVaLY9VNyOzNLdDL2U0sX7hQE8jl0gjtj+ra/vXXX6JUwm+//QaZTIaHH34Y//3vf9t71xhjjLGOF7TdsGED5s+fj08++QTDhg0Tp6ncdNNNiImJgbu7rni/sUWLFuG7777D559/jl69emHHjh2YNm0aDh48iAEDdN+Q79mzB3PnzsWQIUOgUqlE3aKJEyeKU2FsbGza4VEyxhjrLvr08ReZntR0rCG0nrZj12706AhRMuGVVzYgM7MQ+fmlePrpbzB//i2YNKnmFH9qCLTxtnuxcO8O7ElJBPUP//j0EZzOycC7oyfDydKqWx8OCsRd5/+YyLylU8UpsHci7VsR6Ax3n9phT4ungGZRRaqhtAGVOSiqSBEZw1dCWaaOln5wtOohArQUqKWArVQiNwRf/760VIRy6fmoywznMn+Bp11vk+eHlqkeLd2OBVo241qtURkCuCbBXv11df3r1PUGhfXbVkHThOerrCoHf1ycj94etyPQ+XpIJebork3I3Oqp+3ypIFd8IUQGe/oYvgwybUKmK5nA2t7evXtFSYSNGzeisrISt912G77//nvxuZMCt4wxxlhH0OFekeh0lNmzZ2PWrFniOgVvt27diq+++govvvhine3XrVsnTmWZMmWKuD5nzhz8888/WL58uQjmku3bt5v8zDfffCMCwCdOnMCoUaPa5HExxhjrnqRSCebNm4RXX/2pwW1oPW3HWkZIiCc++WQ2lizZiNOnk6BUqvHOO78hLi4Tc+ZMNDzXDhaW+GjCrfjy7DF8cPKQyIw7mJaMu35bjxVjp6Cve+fLkm1JEjMJBvnMhLnUBhezt4g5CkpS4Laf1z3tHril+rO60gY12bOUUUtlBK7EUuZgyJ7VX9qau8PMrOG/Q8qW1ZVPaOj2tahQ5ovtKEjbVsF1GuZo2SQE48xgpUqBg5c/RHFlRp3HXqkqEhm3VP811O0mhLiMg1za9b/wqFKXo6AiSSw7WPrCUmZ/hdIINcFZfdCW/nyoPAJre35+fsjNzRXlD9asWYOpU6fC0tKSDwVjjLEOp0MFbauqqkQgdeHChYY5iUSCCRMm4NChQ/X+DH0zWvtFlkog7N+/v8H7KSrSnfrl7OzcYvvOGGOMNWTUqHAsXTodH3203STjljJsKWBL67uanPIyMUhqebHhMio3Wyy7WduI0VocHKzx3nv3Y/XqHdi8+ZiY++WXI0hMzMbixXeJ9URiZobZ/YaKAO3z/25DnqIcmWUl+L8/N2LB0FG4N7xfuwcn2xM99r5ed0MutcbZDN0XDzE520XQarDvLBHYbZv6s7kmtWcpSEsB0qawNfeAk5V/dQat7rK+plFXQpmyE3sugUJV0mCtUwre6TNzOzOJmQzmUho2yKg4h+LqWrYNUaiKxO/HxawtCHEdh1DXibCUO6Cr0tWz1QWw3WzqZtmSo9WlEYzr2VLZlvj4LLHs7+8mGpGxtkcl9eRyOf7++2+R7HOl/4H6z46MMcZYtw7a0jeeVFfIw8PDZJ6uUz3a+tApLJSdSxmzwcHB2Llzp6hfS7dTH41GI7qCjhw5Er17925wXygYTEOvuLjY8PM0WPuiYyBqxPGx6NL4OHd93ekYX399GIYP74lt205hxYo/8cwzUzB58gCR9dkVH/+Gi2ew5sxRk7lVcUfFIHP6DcXjA65r9Tq3TzwxCUFB7vjgg21QqTQ4eTIRc+Z8gTfemI6AgJqyS0M8fPDTrffg+d3bcTI7HSqNRjQrO5WVjiUjxsFa3vRTv7UareGyqxzbMNfJkEusRVYlZVsm5u9Flaocw/weEUFKrVb3OOnyWh4zZXjW1J9NFuUN6FKp0TVuaoyZmRQOFlR/tgccLSl7lsob+NWb+Xm1+2gpcxKD6B+znYWnuL9rve2OiP4/U3Z1wyUhqAGbteH40CVlZcfk7ECg0w0Ic5sEG3NdLdfOqr7f7aySKMN6N5uwOsdcrdHgeHXQ1snCEsEOzmKb6OhUqNW6bSMifDrk70pHf11uif169dVXW2RfGGOMsW4VtL0aq1atEuUUqJ4tfRNKgVsqrUDlFOpDtW3Pnz/faCauvnnZ0qVUt8xUTk4OFApdfSrWvm/Y6FtvelNJ2disa+Lj3PV1x2Ps5mZpuMzLy0VXNdbFC31HThTLqakF+PjjXXj88XHw9dUFvFwsrJCdrcu6bW1Dhvji5ZdvwYoVf6O4uAIZGQWYO/crPP74WAwZEmiy7bKB1+OLmDPYmBgjrm9LjMWFnEwsGTgSPWybljlYXFxkuGyrx9gWbBGOCId7cbHoR9GcLK34OP69VIRIxwdQXKT7cpsus2VNe8xUV7VUlVE90lCqTEeZKovaYl3xZ6VmFrCVecNW7q27lHnDWuYuMkQFDaApAwrKKCtWlxnb0kqUBeIyP78ASrkuc7uroSB6aWVOIyUhiASDnJ9GWvkBZClOit8Nqokbn78L8fm74W7ZD37Wo2Er75zlRuo7zumF56vXmsGswgXZlaa/8zGF+ShRVonlPk5uyM2h5xA4elT3f4X4+Tl0yP8PHf11uaTk2v+eOWjLGGOss+hQQVtXV1dIpVJkZelOG9Kj656envX+jJubGzZvpi7RCuTl5cHb21vUvg0KCqqz7bx587BlyxZReN7XV3eaUkOoRAM1RDPOtKX6R3R/9vZ161axtn9DSUF6Oh4d8Q0laxl8nLu+7niMCwt1Z4I4OTnX22CzqzB+ZDGaNMjzNRjg7Y+wnu1Tw5Ge67CwAFFb+NKlTHGa8vvv/4WZM0fj/vtvEFm5eos9PTEiIBiL9v+NMqUSyaXFmHvwH5FxOyUo7Ir3ZZ+qC8bb2zt0uWPsjglwKfHAwcsfQa2tQkHVJVws/QZSy1CgFJBbFdX7mBWq4urM2cuGDNqSSnq/15T6s4662rPVTcKoBq2N3LXR+rNtQV5RDuRTuS0nOFl1reNsbKLTElSqdYGyoop0HEv7HEN8ZsPBSlcSwkJmD2u5M4LQDxXKAsTm7hDBWgrKU/Q8W3FKDC+7fujldjNcbXqiM6l9nKmmc2lWuqGerY+n6Rc/ZGt2TT3bGwKCDX8TycmFhvlhw3p1yP8PHf11mWvPMsYY6046VNDW3NwcgwYNEiUObr/9dsMbB7pOAdcrvYD7+PhAqVTil19+wfTp0w3r6JviJ554Aps2bcLu3bsRGFj3zVVtFhYWYtRGb1464huY7ojeUPLx6Pr4OHd93e0Y6x9nd3rM+uAaXbbnY/bycsIHHzyE9977Hbt26TLl1q7dI+rcvvji7bCyqimBMDEwFGHObnh611bEFuSiQqXEC3t34ExOJp4fOgrmUmmD92NWHQCmy654jL0d+mF08PPYl7BCnA6fVx4PM+iaMuWXH0JZ1cjqsgY1DcIqVDXBqoaZ6UoNVDcGE/VnLXvAUt4xvyzvKL/Xrc3W0g22MC1xQAFbF5u6CRI2Fi4Y4HMvIjxuRVzeTsTm/IUqdalYl1FyRgw3m1D0cr8FXnZ9O0W96NrHOa/kkuHLBg/b8HqPvXE92+u8/cU29HlE34TMxsYCAQEeJl8WdSQd+XW5I+4TY4wx1i2CtoSyW2fOnInBgwdj6NChWLlyJcrKykTJA/LAAw+I4CyVLyBHjhwRxeT79+8vLpcsWSICvQsWLDApibB+/Xr89ttvsLOzQ2Zmpph3cHAQTcsYY4wx1rLy8kqQl6cL1iQn5xou9R+4XVxs4eJi1+ZPu6WlHIsW3YGQEA98/vlOaLXA3r0XkZqajzfemCECu3o9HJywfuoMvH5wF36Luyjm1l88g/O5WVg+dgq8bTtmMLEtUOBtbMhC7El4D5WqYnFKPKlSZ+PPmJr3YA2RmMlFlmJNg7Ae4rpcyo2ZugILmS0iPW5DmOskJOTvQUzONpRXN47LKYtFTuL7ot5wuPvN8HMcColZw1+CdDRZpbr/BcTdtm4TSaVGjRPVmbiuVtYIdND9T8nMLERBga45Y3i4b4cN2DLGGGOs4+hwQdsZM2aIurGLFy8WwVUKxm7fvt3QnCw5OdnkG1Yqi7Bo0SIkJCTA1tYWU6ZMwbp16+DoWNMVeM2aNeJyzJgxJvf19ddf48EHH2yzx8YYY4x1F3/8cUJksRpbtmyzYZnKEjz4oOnrcltmkf3nP9eLRmRvvvkrysoqkZCQhcce+xxLltyNAQNqzsixksnx5g0TMcDDWzQmq1KrcTYnE3f/th7vjJ6E630D0F1RwHVc8EvYHvOyIWhbH7nUGk6WNcFZyqS1t/SqqT/LuiyZ1AKhbhMR4joOlwsOIzp7K4ordQHNIkUKDid/Ihqd9XKbgkDn6yGVNL3hX3vJrg7amsEMbrZ1y6VcyM0SmflkqJefIZtYn2Wrb0LGGGOMMXYlHfLdMpVCaKgcApU3MDZ69GhERdV0cK0PnY7EGGOMsbYzdeogjBihC2jQGTAFBfmijq9xpm17Gz48FB9//F8sWvQjUlLyRJOy555bh3nzJuH224cYgi10eXdYH0S6eOCZXVuQWlqMwkoFHvtrM+b0H4bH+g+DtJuesltWlVtvwLaH43D4Og4WQVprUX+Wswo7q5zyMjFIWaWuKVdCYQGyKnRNtNysbcRoDAXoKSgb4DQCacWncDF7C/LLE3S3WZWDE2lrcSFrM0LdbkKIyzjIpR3zTLhKVYkINhP6EsJcWvdxH0mvCc4O8/IzLF+4UDMfGVkzzxhjjDHWqYK2jDHGGOvcqPSBvvwBBW2zs6Wi6U5Hq0fo7+8qArevv/4Ljh6Ng0ajxQcfbEN8fBaeemoK5PKa07YjXN3x02334qW9f2F3SoKoavnx6SM4nZOBd0dPhpNlxww0tRb6UpyyJM0ggRYawzxdL67MhI/9IA7WdgE/RZ8Vv+fE06ocj0QAL+7dgcwKazH3eP9hmDtweJNui+rC+joMgo/9QGSXRSM6awsyS3X1pRWqIpzN+AkXs7aIzNxQ14mwlDugI8kujW60NAI5mlHThGyoV03jY+NM2/BwzrRljDHG2JVx0JYxxhhj3ZqtrSXeeus/osbthg0HxdzWrSdx+XIOli6dDmfnmqxgBwtLfDhhKr48exwfnDwIjVaLg2nJmLbpOzwzeAR6OrkhtbxYbEuXUbm6bERHS8suVwM3s+Q8CioS68xTAJfmab2XfZ922TfWcqb36oux/sFiOTbvPCoVMXhi4HUIdekt5q6UZVsfyrymJl408ssTRdmElKLj4reHmttRJm5szg4EOo9CmNtk2FqYNkJr79IIxN22V531VWoVTmXryj942tjBz04XdK6sVCIuLtPwRZGdXff6gocxxhhjV4eDtowxxhjr9qRSCR577EYEB3vgf//7A1VVKpw/nyLq3L7++gyEhXkbniOJmRlm9xuCvu6eeP7fbchTlCOnogwv7fvb5HlcGXtEDGIulWLrnTO7TOBWn2VLebUUaKvLTKz3tOvN2badnHH5g7JKByQoAB9bB5F53hKcrQMxImAeSiozEZ39J5IK9kOjVUOtVSIubyfi8/6Fv+Mw9HK/GY5Wfh2knq0EbjZ169meyc5EpVpXLmSYl6/hdz82NgNqtS4bPSKiJvuWMcYYY6wxHescRcYYY4yxdnTjjX3xwQez4OqqK+2Qk1OMJ5/8Gjt3nquzLdWr/Pn2e9HL2fWKt0sNzAoVCnQVGq0K5cq8BgK2RIsKZb7YjrGmsLPwxBC/h3Bz+P8Q5jYJMolF9W+SBpcLD2FH7CLsTXgfOWWx7fKEVqlKDU3UnKwD6q27a1oawbiebc18ZCQHbRljjDHWNJxpyxhjjDFmhLJqP/30ESxevEE0D6Ks2zfe+FXUuX344XEiK1fP3doWr44cj//8saFbPYdSiRwTey6BQlUirkflXERa4Y/wcbwHEW66Wp+WMnuxXVdtylVRlS8uEwvzkVlu3eSmXKxx1nJn9Pf+D8Ldp4pM29icv1ClLhXrMkrOiOFqE4pw91vgZde3zTK58yuSDMvuNg3Us81MbaCebZphmZuQMcYYY6ypOGjLGGOMMVYL1bF9//2ZWLXqT/z55ykx98MPB5CQkI1Fi+4QdXANb6bMapqVNealvTvEKeWBDk4IdHBGgIMT/O0dRemEzsja3EUMYiHLq750h7N1ALpTU64Fe7ZfVVMu1jgLmS0iPW5DmOskJOTvQUzONpQrdYHy3LJY7Et8Hw6Wfgh3vxl+jkMhaeLf4dUyrt9cXxOyCpUSp7MzxDLVstWXQqFSIlFRukxba2tzUdOWMcYY68oi3G+Ft8MAOFr6Gb7A33j2v9BolY3+XKTH7ejtOa3B9X9EPYtyZS687Pqhn/cM2Ji7oliRhhNp65BfnmDYbpDPA6KM0Y7YxdBCV7aos+KgLWOMMcZYPczNZXjuuakICfHERx9th0ajxZEjl/D441/gjTfuaXbw5VJhnhjGpGZm8LFzqA7kOolArj6o62xpxfVgO3BTrkt5UVAoYvDkwBHo6RIh5jjLtuXJpBYIdZuIENdxuFxwWDQt05cpKFKk4HDyJ6J+ci+3KQh0vh5SiXkr7AWQX67LtDWDFK42PeusP52VAZVGU6c0QlZWEfLydJnC4eBb6ZYAAIu6SURBVOG+Jpn6jDHGWGc1o99aJObvw9GUL+qs83UcLAKqlaoSWJs7N/k2K5QFyCuLM5mztfAUX+SqNVVQqssgl1hjeI/HkVcej11xb2J8yCKM7PEE/rj4jNje1bonglxGY1fcW50+YEs4aMsYY4wx1gA69XratKHo0cMNS5duRHFxBVJS8kTg9pVX7sSwYXWDN82h1mqRXFwoxp6Umkw+Ym9uUSeQ29mzczs74/IHFVWpiFMAvnb2LdaUizVMYiYTQdkApxFIKz6Fi9lbDFk1ZVU5OJG2FheyNiPU7SYEu4yFuVSX/dxSKLNH3zhNLq3JtK+/nq1xaYSakgnchIwxxlh3sC9xhQjAXilztjY6s4aGntRMjlvC3xfLSQUHodRUwNlK9zqcXx6PKnUZCiouo4fTcJhLbaHSVGCw3yzE5e4SQd2ugIO2jDHGGGNXMHBgINasmY1XXvlRlEgoK6vEwoXr8cgjE9BnfEiTnr91U6bDSi5DYlEBkooKxGViUb5YrlDVbdhVXFWJMzmZYhiTmJnBl7NzWTdlZiaBr8Mg+NgPRHZZNKKztiCz9LxYp1AV4WzGT7iY9QdCXMcj1HUiLOUOLXr/HvWURiBHjIK21KRQj4O2jDHGuhsK2LaEAOfrYSm3h1arEWWSSElVFpRqBZytg2EutYGTVQ+UV+WL+veRHtNEI9NzmT+jq+CgLWOMMcZYE3h7O+Gjjx7GsmWbsG9fNLRa4NNP/8GAyymA25V/3lImQ7iLuxjGNFotsspK6wRyE4oKkFmma/RVe/vGsnNrMnONs3MdYC7lt32sa2XBUwCVRn55oiibkFJ0nKrIikwcysSNzdmBQOdRCHObDFuLJvyRNkF99WzLlFU4n5slloMcnEzKZFAzQz3OtGWMMcaaygxhbpPEUnrxaZRU6pIYlOpyHLr8sahpOzViBYoV6aJEg72Ft6hzfyDpA4S4jEeI6wRR7z654BDOZPwELXQljDobfvfOGGOMMdZEVlbmWLJkOtat24NvvtGdvnV8byzMptlD20ipSipn4GhZ95Rqfeasl62dGMN9/E3WlSuVuFxc0Kzs3LM5mWK0dnZuemkxChUKsZxUXIqMcitIikthY5Et5ujx6psxMdaaqGTBiIB54gNddPafSCrYD41WDbVWibi8nYjP+xf+jsPQy/1mOFrVZME2F334c7Gpm1l/MjNNlDohQ4yybKuqVIiLq25O5ucCe3urq75vxhhjrD3VV+og0PkGMWo3CmsJdEaNnYWnWI7O+dNkXUbJGWTEnDGaMcP4kJeRWnQc9GpMAd1Luf+IjN++XneL7Fx6L9AZcdCWMcYYY6wZJBIzzJw5BkFBHnjrrU1QlCvhvKkYFk4WkMkkKCnRBTKJk5MtZkwfgXEjwq8qgGktl9ebnUsd6bPKS5FYaBrIpeWMa8zODXBwFpeNZedSwPbmX9aiSm3c4KEXgFPVQxeo3nrnTA7csjZDH+6G+D2ESM/bRZYtfUBTaSpFds3lwkNiUMfpcI9b4GYT2qTbVCiLDMsu1sHitMvajmSk1lsaITY2AyqVLrOHs2wZY4x1ZrWbhNGXmApVMcoqdV/WE41W2WL318t9srjMLYtDbtmlRrelzFp6D7A/cZXItiX0HqCsKlcEbT1sIzloyxhjjDHWndxwQzhWr3bGokU/IiOjEKpyBSj3VW60TWl+Mb5cth3+S+3hParlsk4pM9bTxk6MtsjODbB3QqBjTXZuQUVFrYBtXbSeMnE525a1NWu5M/p7/wfh7lNFpm1szl+i1p0hO6fkDFxtQhHufgu87Po2mmmeX5HUaGmExpuQ1cxz0JYxxlhnVrtJ2Ix+a5FRfEaUJrgazlZBGOY/WywfSf4c+RW65qLExToErja6Zr/6WrYNsZI7oa/XXTiZtg6V6hJ6kyzmNVqVOOums+NMW8YYY4yxq0TZtlTn9p57VkKpbPiN4UcfbcfIkWGQShupodBCWiU7F6bZuTYy49A0Yx2ThcwWkR63Icx1kvigSR/8ypX5Yl1uWSz2Jb4PB0s/kZXj5zhUlD8gOeVlYpDkomjD7ZWrvRCVmy1q1urr1hZVKnAxP0cshzq5wsnSqt56tpGRV1+WgTHGGOtMrvN/1NAoTG9y2FvQQoszGRuQVnQCUok57C29xTpaNtbLTZdlW1KZidSiE43e1yCfmcgtj0NSwQFxPavkgqiFS1/K6l/zs0uj0Fm1/icHxhhjjLEuLDk5t9GALcnJKca5c8loT/rsXMrMvTeiH14ePhafT7oD/8x4GMf+by5+vu1evDdmMuYOuA5TgsIQ7uIGK1n93++XqVru9LfOpEJZiPzyJDEUSt3pgHSpn6P1rOORSS0Q6jYRN4e/h6F+s0WzEr0iRQoOJ3+CP6NfQFzuLqg1Vfgp+izu/n29GGnFulMyVRoz/PevQ2KO1uudyEwTX3DUzrIlUVGphlrYAQEt0wiNdR6rV69GQEAALC0tMWzYMBw9erTBbZVKJV577TUEBweL7fv164ft27ebbLNmzRr07dsX9vb2YgwfPhzbtplmoI0ZM0b8rzcejz32WKs9RsYYayj71c7CQ3x5qmdr4S7m5JLG67vbmrvD22GgWI7N2SEajDbEz2EoPGwjcCL1G8NcRslZnM34WdSxH+z7oDjbJj5vd6c9UJxpyxhjjDF2DfLySlp0u/bQ3Ozc2Pxc5CrKr3i78YV5iHA1vc3OjOqjXcjabDKXWvgDUgsbbtLBOg6JmQyBztcjwGkE0opP4WL2FuSX607HLKvKwYm0teL4DnMfi1G3TINaU4GYLF2NZrnUET9OvV8s67NsyRGj0gjG9Wyzs4uQm6v7m+/Vy6dNsuxZx7FhwwbMnz8fn3zyiQjYrly5EjfddBNiYmLg7l73f+KiRYvw3Xff4fPPP0evXr2wY8cOTJs2DQcPHsSAAQPENr6+vnj77bfRs2dP8b957dq1uO2223Dq1ClERkYabmv27NkiAKxnbW3dRo+aMdadbDgzs8F1/8a/fcWfzymLrvc2SquysfHsrCbtQ0rRUTFqu5j9hxhdAQdtGWOMMcaugYuLXYtu15E0VDuXThGnjMMreXHvDqy9cBJ3h/XBzUFhsDWv28SpMwl2GQtve10AJbEwHwv2bMe7oych0NFZzFnJHdt5D1lTmJlJ4OswSHSmzi6LRnTWFmSWnhfrFKoixOdthlyyA05WgYafkaBKZJ/Xrn97tLoJGc0O8vRpoDSCaQYu6/ref/99ETydNUsXeKDg7datW/HVV1/hxRdfrLP9unXr8PLLL2PKlCni+pw5c/DPP/9g+fLlIphLpk6davIzb775psi+PXz4sEnQloK0np66juuMMcY6Nw7aMsYYY4xdgz59/OHmZi9KIDT4hksmgb+/a7d8ni/m5eC1g7vw3tG9ouzCXWF90MfVo9HmTx0VBWX1gdnMcmtkVljDytwXztZdJ5u4O6HfQQ/bcDHyyxMRnb0VKUXHxamYSk0FsstqauCptWXILDkPL/s+hrn8inLEFuSK5QgXdzhYWNYpjSDWRXDQtjupqqrCiRMnsHDhQsOcRCLBhAkTcOjQoXp/prKyUpRFMGZlZYX9+/fXu71arcbGjRtRVlYmyiQY+/7770WglwK3FOh95ZVXGsy2pfuloVdcXGy4fRr6vxPaf41GIzJ89Rqapzla19C8/naN5wlt35R5qVQqbtd4Xr8vDc03tu/Gzyld7wqP6VqPk9gnkz0EaA+09czTI6dXc0kLzNOc8TsDbfX9NjQvrbU/+m2auu/t/ZiMf29a+u8J2tp7o/8dqjVvpqmuPmA8rwXMtI3Mm9V9VM2a1+iuNjjfxH1H+z8m/fN/NcfJeLvGcNCWMcYYY+wa0GnP8+ZNwquv/tTgNiqVBs8++y3+97//65QZt1cr2NEZ8YW6JhAVKhV+ib0gRpizq8i+vSW4F+w6efYt6xqcrQMxImCeaHoSnf0nEvP3QWv4QEjMcC7zF3ja9TZ84XAsM82wdqhRaQTCQdvuKzc3V3xA9/DwMJmn69HRNY3tjFHpBMrOHTVqlKhru3PnTvz66691PuifO3dOBGkVCgVsbW2xadMmREREGNbfe++96NGjB7y9vXH27Fm88MILoiQD3VZ9li1bhqVLl9aZj4+PF7dPHBwc4OXlhaysLBQVFRm2cXV1FSMtLU0Ej/UoWOzo6IikpCQRwNaj8g50m3TbxkHIwMBAyGQyXLqkqx+tR2UgVCoVEhMTTQIdoaGh4v5SU2u+GDE3N0dQUJDYv8zMTMO8jY0N/Pz8kJ+fL46Lnv4xZWdnmzxm2vfO/pha4jiR6y0dIDP6cvWwohgKrQZjrEzPKNldUQhLMwmus7Q3zKm0WuxRFMFJIsMAi5qapmUaNQ5XlsBLao5w85ovEvLUKpyuKkUPmSWC5DVfXqSpqhCtLEeo3Bo+sppGVQlKBRJVCvQxt4WLGQXgdF82eErNkapVYoiFHWwkNaHYU5WlyNeoOtxjMv79aOm/J1lhmMljUjnGABo5ZMVBhjmtmRpqx1iYqWwgLa05m0orrYTaPgFmVY6QlnsZ5jXyUmhsUyBRuECiqKnTrrEohMY6A5IKT0gqa55LjWUONFa5kJT5QqKsec7U1hnQWhRCWhIIM3XNe0C1bTK08jJIi0Jgpq05fir7BECi7JCPSX8Mr+Y41f7ypiEctGWMMcYYu0ajRoVj6dLp+Oij7SYZt87OtlAqVSgpUSApKQdPP/0Nli9/AO7uDp36OXe0tIS5VIqqWgEFY7T+k4m3o6hSgY0x57ElPhplSt0b2Zj8XLxx6F8sP7YPkwJDRQC3r5tnp8y+ZV2LnYUnhvg9BDfbXjiS/KnRGi0KKhJNsm2PGtWzNW5CVlWlwqVLGWLZ19cZDg5cU5Q1btWqVaKcAtWzpf+DFLil0gpUTsFYWFgYTp8+LYJyP//8M2bOnIk9e/YYArePPPKIYds+ffqIIN748eNFwIBuszbKBqbau8aZthQQpG2p2RnR/1+moLNxPV79vI+PT72ZmtSErb752vuhn6eAZu15ClzWntcHLo3n9ftCgUs7O7s6887OznBycqozb/x4aL8sLCw6/WNqqeO0X1ET+DXOSqWApjF6F1Cu1dSZJwUaVb3zGeoqZFXUBLb0LqsUSFYpDNf1exWrLMclZXmd+XNVpZBqtLi9+nqmuoqKl+NYpWkPAX1orKM9pvqOd0v97omAZu1HK6msZx7QyspqzevuR2teCJV5cZ15jWUeNJb5deetMqGxyqo7b5MKTe2MWnqe7ejLi3rmHeLq7js65mPSH8OrOU705VtTcNCWMcYYY6yFArcjR4bhi1/24NNzx/BonyH4752jkZlZKLJss7KKkJqajyef/FoEbn18dHVQOyNvW3tsvXMmCqvfcF7IuYi0wh/g4/gfRLqFGwK7tB2NxSPG4bkhN2B7Yiw2xpzD2ZxMQ/btpktRYoQ6ueKusN6YGtwL9kanmTPW1ugDF3WbNoPEJNuWrhtn2+qDtlIzM5N6tnFxmVAqdV9oRESYZuCyro+y5eh0d8p4NEbXG6o16+bmhs2bN4sP8Xl5eSJTlmrfUqalMQr4hYSEiOVBgwbh2LFjIuD76afGXzDUoCZoJC4urt6gLQUp9YFKY7T/NOo97bqW5s7Xvt2rmae/v+bMN2Uf6ef017vKY7qW+Ya+kq1vXttC8w3lHTY0X/s2tFex7+35mFriuDb0OyZKBDR4z7W3be48PVptK8439zdBU89tNHf+6va9qf8nG/rbbgpuY8oYY4wx1oKlEvxD3FEZaC4u6ToFZz/4YJbIuCMUvKWM2+TkmtMaOyMKxka4uosRYG8LL+sKcamfo/XGrOVy3BEaiR+m3oNfbrsP/wnvB1t5zemOVBv0rcO7MfbHL/DS3h04lZXe5HpfjLUkyqalrFrT8gj08UxjyLbNKS9DQlGBmO/t6gEbo9/lCxdqMnAjImqCuax7oMAqBVSpxIEenQZL12vXn62N6tpSph2dQv/LL7/gtttua3R7ul3jmrS1UVYuoYxbxhhjnQ9n2jLGGGOtLC+vBHl5pWJZH6gzDti5uNh2qzqn3RGVQ1i1apbIuKUyCbm5JXjqqa/x3nv/h5CQ7tflu5eLGxYNH4v5g6/HjqRY/BxzHqezdaeTK9Qq/BZ3UYwQRxfcHdYbt4SEw5Gzb1kboC8KKJu2uhtKPVvoattWSWY0WM/2woWaupSRkZxp2x1RyQEqXTB48GAMHToUK1euFHUqqeQBeeABOtvCR9SUJUeOHBG1LPv37y8ulyxZIgKyCxYsMCllMHnyZPj7+6OkpATr16/H7t27sWPHDrGeSiDQ3JQpU+Di4iJq2j7zzDOiTm7fvn3b6ZlgjDF2LThoyxhjjLWyP/44gbVr95jMvflmTVOQmTNH48EHx/Bx6OKovu3KlQ/i+ee/E/UuCwvLMX/+Wrzzzv0ID++e2XiUfTutZ6QYsfm5+Dn2PP6Iu4jiKl3mWFxhHpYd2YPlx/fjpoCeovbtQA9vrn3bhiqUhWKQSlW24TK/PEksW8kdxegqNFoVypV5DQRsiRYVynycLEg2zAxroAmZpaUcgYE1tSVZ9zFjxgzk5ORg8eLFookUBWO3b99uaE6WnJxschotlUVYtGgREhISRNMaCryuW7dONLbRo6ZZFOzNyMgQdU4pEEsB2xtvvNGQ4fvPP/8YAsRUm/bOO+8Ut8sYY6xz4qAtY4wx1sqmTh2EESNMO54ao0xb1j1QQ6L3338AL774vcjGowZlzz33LZYtuxd9+/ZAdxbq7IqXrhsjsm//Srokat+ezEoX66jh2R/x0WIEOTjhrrA+uI2yby2t2nu3u7wjqX/jdGbNad6AFTLKf8Px9N/Etf6e4zEm8O5227+WJpXIMbHnEihUukY2F3OikVr4A3wd/4Nwt15izlJmjzW/6R6/TCJBf4+aU8+pEaG+GWGvXj6iRArrnubNmydGfShD1tjo0aMRFRXV6O19+eWXja6nIC01JWOMMdZ1cNCWMcYYa2VU+oDLHzA9W1tLURbhpZd+wOnTSSgvr8ILL3yPN964B4MGmTad6Y4sZTLcGhIuRlxBnsi+/e1SlCH7luqIvnt0L1YcP4CJASEi+3awpw9n37aC9NJiPLMnE1UaXbCyPuYxmdjqVlynhnFnZm3uIgaxlOu6SVvK3eFsHWB4XlJKdF3I+7l5wUomr5NlSyIifNt4zxljjDHWlfBXv4wxxhhjbczKyhxvv30vhg7VdQFXKJRYuHA9Dh2K5WNhJMTJBS8OG43d98zGO6MnieCsnlKjxtaEGDy47Wfc8su3+ObcCRQoKvj5a0GFCgWqNA3129ah9bRdd3I0oyYwO8zLNDBr3IQsMpKDtowxxhi7epxpyxhjjDHWDiws5Hj99Rl4/fVfsH9/NJRKNV55ZQNeeeVOjB4d0aka7GUWFwJyIDOjELFlGS3eYM9CJsMtwb3ESCjMF43LfouLQmGlLliYVFyA947tw8oTBzGhRzDu7tUHQz19OfuWtYqjGSkNNiGLikozLHOmLeuOxo5dis6CygqPGqVbnjx5GTQadBr//vtqe+8CY6wNcNCWMcYYY6ydmJvL8Oqrd2HZss3Ytes81GoNXnvtZ7zwwm2YOLFfp2mw5xhRhXseAb76ehcKo/a3aoO9IEdnLBg2Ck8NGoF/LsdhY8x5HMtMNWTfbkuMFcPf3hF3hfbG7T0j4GJl3eL70RWVK5WIL8wTZSkuFeThVHVNYVZDq9UaMm0tpFL0c/c0rKMvXmJjdc+Zt7cTHB1t+KljjDHG2FXjoC1jjDHGWDuSyaR46aVpsLCQYdu209BotHj77c2orFSJJnadocHegcQjAFJx661DMPKpYW3SYI+yb28O7iVGUlGBqH27+VKUoURCcnEh3j++Hx+cPIjx/sGi9u0wbz9IzMzQ3VFjN3rOLhXk6gK01YFafZ3W5tqdkoAABydYy2tqu3ZV9BxllOmalA1w94a5tObj1KVLGSJwSyIjTTNwGWOMMcaai4O2jDHGGGPtjDrMP/fcrbC0lGPTpmPQaoH339+Cykol7rrrOnT0BnsxxXYoB+DqYofQUK823xcKGD435AY8OXA4dl1OwMaYczhcfQq7SqPBjqRLYvjZOeDO6uxbN+uunwWp1miQWlIksmZ1gdlcsXy5qBAqbcudB7z61GF8c/4kJgWG4o7QCNGcy6yLBseN69nWLY3ATcgYY4wx1nI4aMsYY4wx1gFIJGZ44onJotbtjz8eFHOrV++AQlGF+++vLrrHGkVZj5OCQsW4XFyIX2J02bd5inJDluTKEwfw0clDGNsjSGTfDvf27/TZt3TKfmZZqS4oW6grbUCZs1TqoFLdeCMxPSuZHCGOzujp5CoawPV0chFfHjzy16Ym/XyZsgq/xJ4XI9DBSQTGbw0Jh7t162Zct289W9NGYxy0ZYwxxlhL4qAtY4wxxlgHQdmJjzwyAZaW5vjmm91i7ssv/4VCocTDD4/rstmLraGHvSPmD7ke8wYOx7/JCfg55hwOpieLdZRl+ndSnBg+tva4K6w3pvWM7BTZt/kV5YZyBlTeQB+gLVVWNennZRIJghwoOKsLzIY4uYpLb1v7OsHrqNzsJt3mWL8gHMlIQblKKa4nFhVgxfEDWHXiIG7wDRAB3DF+QTCXStHZg+P0OPVB7t5uHvUGbSljPjjYdB1jjDHGWHNx0JYxxhhjrAOhwCw18aLAzyef/C3mvv9+vwjczp17Ewdum4kChTcF9hQjpbhIZIL+eukC8ip02bdppcUiuCiyb/2DcFdYH4zw9oeU2oq3o9KqSsQZZc3qL/VZw1dCAVh/O0dD1qw+QOtv7wC5pGnBU0dLS/H8UQ3chtD6l4aPgYOFpQiCb750Accy08Q6jVaLPSmJYjhaWOKW4F4iON7LxQ2dEQWjc6t/bwZ5eJs8j7m5JcjK0tUEDgvzFiVPGGOMMcauBQdtGWOMMcauUU55mRgktbzYcKnPVKQMzuZmcc6YMUKUSli16k9x/Zdfjogat888c4sopcCaz8/eAU8PHom5A6/D7uREUfv2YNplaKn+q1aLfy7Hi+Ftaydq31KA0cOm5vT+9NJiFCoUYjmhMN/kUh/kpIzV5lCoVEgsytfVndU3BivIMzS7agovG7vqoCwFZ3WZs4EOzrCUXdtbfXosW++caXjMVH5h4b6/sOyGiSIAXPsxU0YtDWoCR2Upfou7iMzqx1FYqcB3UafFCHdxE88tNZGjYG7nLI3A9WwZY4wx1ro4aMsYY4wxdo1+ij6Lj08fMZlbGXtEDPJ4/2GYO3B4s2/39tuHwMJChv/97w9oNFps2XISlZUqvPDCbe2eyVehLBSDaJBnuMwvTxLLVnJHMToiypC8MSBEDGrU9UvsBWyKvYCcCl3gPb20BB+ePISPTx3GKL9AUfs22MEZUzd9Wyfr9IW9202yTinIWV/glhqiUZ1dfTMwfeZsckmhyEhtChdLa0PmrP4y2NEFduYWaC30WPSPR1PdvCzI0RkRru4N/oy/vSOeHDQCcwdcJxrC0XO7Mzne8NxdzMvBxbzdeO/oPozzD8K0nhEY4dOj3bObr+SIUROyYd61g7Y1Ad2ICNNat4wxxhhjV4ODtowxxhhj12h6r74Y6x8sli8n5+DNN3/Fyy/fgR7+utPAr6VW6uTJA0TGLd0mBW7//vssqqpU4vbl8varERqf9y8uZG3WXZHrLhTyrfj70laxHOlxO3p7TkNH52vngKcGjcDjA4Zhb0oifo45j32pSYbsW6qHS4MCpo2VCSC0Pr+iQtQ+1WfO6gO0dGq9UtO0pmC2cnOjsga6xmAhji5wsbJGZ0JB2JE+PcQoqlRgW0IMfr0UhQu5WWI9PR87ki6J4WFtKxqXUQC3h4MTOhoKrB/L1AVt7czNEe5sWuLhwoWagC4HbRljjDHWEjhoyxhjjDF2jYzLH8jy1ZDnaxBs64zQRrIRm2PcuN4wN5fhtdd+hlKpxp49UaJUwtKl08V8ewh2GQtv+wFi+UBUPFZeOoKnew7DyAhd8LqjZtk2ln07vkeIGFQG4dfYC2JklZeK9U2tJTvzz41QqFVN2tZCKhWZsoYArVh2haeNbZerXUw1b+8J7ycGBbM3xUbhj/iLyFdUiPX0PH9+9pgYAz28RfkEqkNsIzdHR5BWWo6C6n0d5OFrkhVMf5OxsRli2cvLEc7ONSU1GGOMMcauFgdtGWOMMcY6geuv74U33rgHr7yyQWTaHj58CS+99ANef30GrKzaPrBlXP5AilJkVlhDCg84Wwegs6NyAPMGDsdj/YeJrFuqfUtZuE0pYlBfwFZqZoYABydDMzAKztIyZfl29JIArYGyhxcMGyXqC+9LTcSmS1Hi+aXMZnIyK12Mtw7vFoFbyr4d5OHTroHsqDxdKRAyzNu0/EF8fKb4myQREaZlExhjjDHGrhYHbRljjDHGOomhQ0Pwzjv3YeHC9VAolDhxIgEvvPA9li27FzY2rVfXtLuSSSQY6x8kBgUV5/z92xV/hk7zp3qvuqxZXXmDAAdHmEv5bXdtVANYn91Mjfy2xEdj06ULiK9u7lahUoqGZjT87BxEk7PbQiLgZWuHtnYxvyZoO9TTr8HSCJGRXM+WMcYYYy2D3z0yxhhjjHUi/fsHYPnyB7BgwXcoK6vEuXPJePbZb/Huu/fD3t6qvXevy3K1alpd4o8m3Npoky5WPyovMqvPIDzYeyDO5WSK7Ns/E2JQqqwS61NKikRzuI9OHsJwH39RPmG8fzAsZK3/cUajBaLzi8Syo4UlQp1dTdZHRXE9W8YYY4y1vO53PhZjjDHGWCdHjY7ef3+mIUgbE5OOZ55Zi4KCsvbeNcauCZVA6OvuhVdHjsee/zyCd0ZPwnVeftAXRqACCgfTkvH87m0Y8+PneP3gLpzPzRLN31pLZrkVylW68gdDvHwhqVWmQR+0tbCQITjYo9X2gzHGGGPdCwdtGWOMMcY6odBQL6xc+aCh6VFCQhaeeupr5OQUt/euMdYiLGUy3BLcC19OvhN/TX8IcwdcB19be8P64qpK/Bh9FjN+/wF3bP4ea8+fRH5F0xrGNUdSiV2DpRHy80uRmakrnRAW5g2ZTNri988YY4yx7omDtowxxhhj1ygvr0R0j6eRnJwr5uhSP0frW0NgoDtWrXoQ7u66QFZKSh6efvobQxCJtRxHS0tRg7UxtJ62Y63THO7xAddh292z8NXkO3FrcDgsjeoExxbk4t2jezH2xy/w1M4/8G9yAlQazTX/PWdkFiCpRPfFCPGosjD5e+bSCIwxxhhrLVzTljHGGGPsGv3xxwmsXbvHZO7NN381LM+cORoPPjimVZ5nX18XrFo1S9S1TU8vEOPJJ78WdW/9/Fxa5T67a9Bw650zUahQiOsHouOxMvYIng4dhpG9gsUcBWxpO9Z6qDTBMC8/MV4ePgbbEmNFo7LT2RlivUqrwT+X48VwsbIWwV1qYEZN4a7m79khogrJQ5x1912hwevPbMCDRn/PFy6kmJQtYYwx1jos1RpYqk1L4Uip6Hg1xyo11BLT8jVEITWDQsr5iqxz6pBB29WrV+O9995DZmYm+vXrhw8//BBDhw6td1ulUolly5Zh7dq1SEtLQ1hYGN555x1MmjTpqm+TMcYYY6w5pk4dhBEjwhpc7+JSk6nXGjw9HUWphOeeWycyfKlEApVKoMAtZeOylkEBWX1Q9rJ1jrj0tbbnxmPtxNbcAneH9REjoTBfBG9/i4tCbnWJhLyKcnx9/oQYfd08Ma1nBCYHhcHO3KLJf88/x+7FpeqA8Ai/ADz76XCTv2fjTNvISNPSCYwxxlpOcGkVIosrG1w/Pqf+uv4X7C1wwYHPgmGdU4cL2m7YsAHz58/HJ598gmHDhmHlypW46aabEBMTA3f3uh86Fi1ahO+++w6ff/45evXqhR07dmDatGk4ePAgBgwYcFW3yRhjjDHWHC4udmK0Jzc3e0PglurbUlMyKpXw3nv/J+rfMtaVBTk6Y/6Q6/HkoBE4kHYZmy5dMCmRcDYnU4y3j+zBjQE9RQB3qJdfnaZitf+e8+JrSiyMD+1p8rekUqlFE0D9Fyf6+tKMMcZaXrytOdKs5M3+Ocq0Zayz6nA54u+//z5mz56NWbNmISIiQgRara2t8dVXX9W7/bp16/DSSy9hypQpCAoKwpw5c8Ty8uXLr/o2GWOMMcY6IycnG6xYMRO9enmL68XFFZg/f63JKdyMdWUyiQSj/QKxctwt2H3PbLw4bDTCnF0N6yvVamyJj8bD23/FTRu/wuqTh5BWUmRyG+mlxYjKzRbjfGFNYz8qt0BztJ7Ex2ehslIllrk0AmOMtS4qcVBoLm324NIIrDPrUJm2VVVVOHHiBBYuXGiYk0gkmDBhAg4dOlTvz1RWVsKyVsMHKysr7N+//6pvkzHGGGOss7K3t8L//vcAFi5cj3PnklFWVimyb5ctuxf9+we02P3klJeJQVLLiw2XFNQibtY2YjDWXpwsrfB/kQPEuJiXjV9jL4iAbXGV7vTa9NISfHz6iBhUI5eyb3u7euCO375HlVpd5/ae3PmHoeEc1TfmJmSMMcYY6zZB29zcXKjVanh4eJjM0/Xo6Oh6f4bKHFAm7ahRoxAcHIydO3fi119/FbdztbepDwbT0Csu1n0Y0Wg0YrD2RcdAq9Xyseji+Dh3fXyMuwc+zm3PykqOZcv+g8WLf8LJk4lQKJR44YXvsXTp3Rg6NKRF7mPDxTNYc+aoydyquKNikDn9huLxAdehq9JWNz+hy+7y3lBb/TjpsrM95jAnVywcNhrPDh6Jf1MSselSFA6lJ0Oj1R3HIxkpYljJZPUGbI3R+vyKcpMM9vBwn073nHTG/9cddb8YY4yxLh+0vRqrVq0SpQ+onq2ZmZkI3FIZhGstfUDNzZYuXVpnPicnB4rqrsGsfd+wFRUViTeVlDnNuiY+zl0fH+PugY9z+3nqqXFYtepvnDyZjKoqFRYt2oCnnpqAIUMCr/m2x7p4oe/IiWI5NbUAH3+8C48/Pg6+vk5izsXCCtnZuqzbrqi4uMhw2ZUfp7H8ggLdZX4BsrWd9/3XAGsHDOg3HDlh/fB3ahK2pyYirbxErKtQ6codXEl+fr7IZCdyuRT29mZd4vego/+/LinRHSfGGGOsO+hQQVtXV1dIpVJkZWWZzNN1T0/Pen/Gzc0NmzdvFoHUvLw8eHt748UXXxT1ba/2NgmVU6DmZcaZtn5+fuL+7O11XYNZ+76hpCA9HY+O+IaStQw+zl0fH+PugY9z+3rrrfuxbNkm7NlzEWq1BitX/o2FC2/HuHG9r+l2jVu5xmjSIM/XYIC3P8J6+qA7sE/N1V3aO3SbxrY5ZrosR2dnJ7i7df7HTI8g0j8AT2lH41R2BjbHRWFbQiwU6isHbmUy+lJCdyZeWJg3vL27RrO/jv7/unZZPMYYY6wr61BBW3NzcwwaNEiUOLj99tsNbxzo+rx58674Au7j4wOlUolffvkF06dPv6bbtLCwEKM2evPSEd/AdEf0hpKPR9fHx7nr42PcPfBxbj8WFhK88spdMDf/DX//fRYajRZvvbUJVVVqTJkyoEXuw8xMYrjsLu+TzCRmhsuu/Jjz8kqQl1cqllOK83WXKfmwKNI9fhcXW7i42KGzG+zlK8a0npF44M+NV9w+KbEmqzYy0rdL/Q505P/XHXGfGGOMsW4RtCWU3Tpz5kwMHjwYQ4cOxcqVK1FWViZKHpAHHnhABGepfAE5cuQI0tLS0L9/f3G5ZMkSEZRdsGBBk2+TMcYYY6wrk0olePHF22FpKccff5wAlfF8773fUVmpxLRpQ9t791gHRr8va9fuEctKZwlwsx3eWrZJZFaTmTNH48EHx6CrsJLJm7RdolHQNiLCrxX3iDHGGGPdVYcL2s6YMUPUjV28eDEyMzNFMHb79u2GRmLJyckm37BSWYRFixYhISEBtra2mDJlCtatWwdHR8cm3yZjjDHGWFcnkZjhmWduhoWFDD//fETMffDBNtGk7D//Gdneu8c6qKlTB2HEiDCxvC82Hu9nH8esWWNxQ2iwIdO2O4pPqCm9FhHh2677whhjjLGuqcMFbQmVLWiodMHu3btNro8ePRpRUVHXdJuMMcYYY90Bnfb8+OM3wdLSHN99t0/MffbZPyLjljImaT1jxqj0gb78QVxxHpANeHk6IjS0a9RwvVqXk3LEpYeHA1xdO395CMYYY4x1PFwUiDHGGGOsG6HA7MMPjxNDj05///TTf0THeMa6M0dLS5hLpY1uIzeTQFmsFMucZcsYY4yxbpVpyxhjjDHGWtf9998gatyuXr1DXN+w4aDIuH3iicmilAJjJKe8TAySWl5suIzK1dV0dbO2EaOr8La1x9Y7Z6JQoRDXD0THY2XsETwdOgwje+lKQhzdE4u15TvFMgdtGWOMMdZaOGjLGGOMMdZN3XXXdbCwkGPFii2iOdnmzcdEjdvnnpsqmpcx9lP0WXx8WlcDWW9V3FExyOP9h2HuwOFd6omiwC0NctlaVwbB19oeEa7uYnlzzAHDthy0ZYwxxlhr4aAtY4wxxlg3bzRFGbdvv70ZGo0W27efRlWVCgsX3g6ZrPHTxFnXN71XX4z112WYJiVl461lm/DSwmkICNAFMLtSlm1TXbiQIi7lcil69uzetX0ZY4wx1no4aMsYY4wx1s3deGNfmJvL8Prrv0Ct1mDXrvOiVMLixXeJedZ9GZc/kOQqIc/XIMjWCb2qs067m8LCMqSnF4hlasZGgVvGGGOMsdbA570xxhhjjDGMHh2B11+fYQhCHTgQg0WLfhTlEhhjOlFRqYangksjMMYYY6w1cdCWMcYYY4wJw4eHYtmye0W5BHLsWDxefPF7lJdX8jPEmCiNUBO0jYz04+eEMcYYY62Gg7aMMcYYY8xg0KAgvPvu/bC2NhfXz5y5jOef/w6lpQp+lli3d/EiZ9qyplm9ejUCAgJgaWmJYcOG4ehRXfO++iiVSrz22msIDg4W2/fr1w/bt2832WbNmjXo27cv7O3txRg+fDi2bdtmso1CocDcuXPh4uICW1tb3HnnncjKyuJDxjoda5kcLwwdhZ0zHsbpmU9g210PYk7/YZCamTX5Nno5u+HUzHm48NDTYgQ6OBnWjfINwG/T/g/HH5iLDVPvQR83T5OffWX4WGyedj9kZhwyY+2LfwMZY4wxxpiJPn38sXz5A7CzszScEj5//loUFZXzM8W6Lar3fPFimlh2c7MXg7H6bNiwAfPnz8err76KkydPiiDsTTfdhOzs7Hq3X7RoET799FN8+OGHiIqKwmOPPYZp06bh1KlThm18fX3x9ttv48SJEzh+/DjGjRuH2267DRcuXDBs88wzz+CPP/7Axo0bsWfPHqSnp+OOO+7gg8Q6JAqkvnnDxDrzFJZdfeNteKD3QLhYWiOlpAg+tvaYN3A4Xr/hxibdtoVUinfHTIa5tG5dfjtzCywfOwU5FWUY/+MXsJabY+W4mw3rB7h74c6w3li8/x+otJprfJSMXRsO2jLGGGOMsTp69fLBihUPwtHRWly/dCkTTz31DfLySvjZYt1SYmK2ocYz17NljXn//fcxe/ZszJo1CxEREfjkk09gbW2Nr776qt7t161bh5deeglTpkxBUFAQ5syZI5aXL19u2Gbq1KlirmfPnggNDcWbb74psmkPHz4s1hcVFeHLL78U900B3UGDBuHrr7/GwYMHDdsw1hmM7xGMoV6+YvmpXVsw9ddv8faRPeL6bSERCHdxu+JtLBg6GsGOztieGFtnXQ97RxGoPZuTiaKqSlzMy4anjR0cLSwhl0iwdOQEbLh4VqxnrL1x0JYxxhhjjNUrONgDq1bNgqurnbh++XIOnn76G2RnF/Ezxrp1E7LISF1AgbHaqqqqRDbshAkTDHMSiURcP3ToUL1PWGVlpSiLYMzKygr79++vd3u1Wo0ff/wRZWVlokwCofukMgvG99urVy/4+/s3er/FxcUmQ3/7+qHR6DIN6bIp8/qz1yUSM0ilNUPPeK6l5um+CN130+b1+1jzXEilaHDfO+JjaurxaGheq9U2Oi+tNfR7WXte7ONVztdellQvU+kCUqFSYm9KopjflRRneJ5u8AlodB/H+QXinvC++P7CKexPSTL8nP72U4sLUa6sQl83TziYWyDCxR1ZZSUoqVTgsX5DYSWXY9WJgy3yWPX3qR/6Xzm6bInjZDynnxfrtJJaA9Wj1jzqmze7wrzZNc7jCvNN3Hdt+z+maz5OTVA3V5wxxhhjjLFq/v6uWLnyQTz77LfIyipCamo+nnzya1E+wcfHmZ8n1i2bkHGmLWtIbm6u+FDu4eFhMk/Xo6Oj6/0ZKp1AGbKjRo0SdW137tyJX3/9VdyOsXPnzokgLdWupSzbTZs2iUxekpmZCXNzczg6Ota5X1pXn2XLlmHp0qV15uPj48XtEwcHB3h5eYnauJTNq+fq6ipGWlqaCB7XzFshJ6cCvXu7wNq6Jtxw8WI+ioqqMHCgG6TSmmjpmTO5qKpSY8gQ0+fr2LEsmJtL0a+fq0mJkmPHsuHgYI7w8JrXn/JyFc6ezRX3HRzsYJgvLKxEdHQBfHxs4eurezwkO7scCQnF6NGDvpDUnT0yaJA7UlPLkZpaitBQRzg6Whg9H0Ud7jHl5+eL3zW95h4nT09P8buSlJQkvmgwLsNBrrd0gMyofuxhRTEUWg3GWJn+fu2uKISlmQTXWdaUi1FptdijKIKTRIYBFjXPe5lGjcOVJfCSmiPcXHcWj6fUHH3MbXG6qhQ9ZJYIklsiwl73PJRVVooYW5jcGr5mujr7JNROtw/0cy5G5Q8uVpWjylwmSi6kFebjxPnzGNgj0LB+kIUdAqx0gbJvD+7FxH4DsfOe/yKnqAjfH92Lezx64L99h+DJnX9gZkR/3BveD1KJBCcuJ+DXU8fxb0Vhkx4TyVOrTB6TXpqqCtHKcoTKrXHp0qVrOk70N0p/q/qALwkMDIRMJoOsMMzkOKkcYwCNHLLiIMOc1kwNtWMszFQ2kJb618xLK6G2T4BZlSOk5V6GeY28FBrbFEgULpAoarKdNRaF0FhnQFLhCUllze+HxjIHGqtcSMp8IVHWPGdq6wxoLQohLQmEmbrm70xtmwytvAzSohCYafVhb0BlnwBIlB3yMemP4dUcJ+PrjeGgLWOMMcYYaxQFZz/4YJYI3FLQloK3lHGrD9zGxqaL7eiyZ08vkw+vjHUVUVEp4lIul4rfc8ZayqpVq0Q5BcqMNTMzE4FbKq1Qu5xCWFgYTp8+LYJyP//8M2bOnClq1+oDt821cOFCUXtXjzJt/fz8xP1TszNC+6MP/rq7uxu21c/7+PiYZIzl5laIy/Pn8wwZqkSt1m1z8mSOyT7o5ymgWXu+okJVZ55QoNR4Xn/3dN/5+Yo682lppcjIqAmE6ff38uUS+Pnp5k6cyIZKpVuOjS002XeNRtvhHpOzszOcnGoaazX3OFH2N6FmefXN71eYnlFD4SVtdZDW5DFRgFmrqTNPCjQqk/k5A67DlwOuM9lmWFAIvg8KMVyf9NNXyFcrDcFfEqssR4JK93tFSrS6LzPOVZXW2ccPRtwEc5kcT+z6GXFlebCuqgmcn6gsQVL1/uyOL8RH8efFY9Jn6X5z83T8lXRJPKZ5g0fix4tnkF1WiicHj8SBvCwgprDOY9LLUFchq6ImWKd3WaVAssro+FVf0mOiUifXepzob9WYfl4ENGs/O5LKeuYBrays1rzufrTmhVCZF9eZ11jmQWOZX3feKhMaq6y68zap0BjyoKv3hX537BKN8qON5h1qsqqN5zviY9Ifw6s5TvTlW1Nw0JYxxhhjjF2Ru7uDKJVAgdukpBzk5pZgzpzPYWEhR0GB7sPwihV/4rvv9mPevEkYNSqcn1XWZVSUVYovLAgFbM3N+WMUqx9ly0mlUpHxaIyuUzZWfdzc3LB582bxIT4vLw/e3t548cUXRX1bY5RJGxKiC3BRzdpjx46JgC81MaPbpgyvwsJCk2zbxu7XwsJCjNpo/2kY0wcfaqs9r49X6AOdtekDmq0xT/fdnHnjRDdKar7Svnekx9TU43G186Y53o3Pa5s4n1FWgjPZGYbr/dy9kF9RLhqN6VWoVWI74mhpJUJ6dJgcLGuyWNNLdevru88wZzdRl/a7qTPEdalZzeP78dZ78cPFM3j/uGnZEbodyqoNcHDCEzv/wH/7DtZtH30WaSXFImh7nY8/fow51+THqtdQLiXN1/4bu5rjVN9tCGaN3XPtbZs7r69L0Frzzdj3dn5MTf0/Wd9x0gfqr4TTIBhjjDHGWJM4O9uKUgk9e+oCAOXlVYaArV5OTjFeffUn7N17kZ9V1mWkX67JwImI8GnXfWEdGwVWKaBKJQ706DRYuq6vP9sQqmtLmXYqlQq//PILbrvttka3p9ulurSE7lMul5vcb0xMDJKTk694v4y1hV9iL+DeLRsMg+xNTTKZy60ox/7Uy2KdpUyGUX668gY3BtRk4+5PSzI0LPvjjgfEcLe2MaynkgbUaIyGhazmCzZruRzm9QTPPKxt8dSgEXj36F4UKCpgVp39qVRroNI27RR2xloLf0XMGGOMMcaazMHBGu+993+46673oVI1lIsDfPTRdowcGcalEliXkH45z7AcEVF9PjVjDaCSA1S6YPDgwRg6dChWrlwp6lRSyQPywANUWsZH1JQlR44cEbUs+/fvLy6XLFkiArILFiwwKWUwefJk0VispKQE69evx+7du7Fjxw5DTdOHH35Y3DedOk/lDZ544gkRsL3uOtNT0hnryHYmx+NEZhoGefpg1bhbkFxShAB7Xfb4lvhoXMzTlaOwk1sgyFFX/1Ym0QVjJ240LSlye0gE3hw1USzf8staJBYV1Lm/V0aMxZnsTPwep/uy+VB6Mmb2HogbfAOQWZ31ezhdVx6HsbbGQVvGGGOMMdYsiYnZjQZs9Rm3FLjt08dfZOg6OdnAyckWdnaWTT4ljLGOIi2pJmgbGalr1MNYQ2bMmIGcnBwsXrxYNAGjYOz27dsNzcko+9X4NFoqi7Bo0SIkJCSIpjVTpkzBunXrTMocZGdni2BvRkaGCND27dtXBGxvvPFGwzYrVqwQt3vnnXeKDFxqcPbxxx/zgWKdikarxZy/f8MTA4djYkBP+Ns5iJIJFFT99PTRFr2vmwJ7YpiXP27ftM4wty81CatOHMDDfQdDJpFg3YVT2BhzrkXvl7Gm4qAtY4wxxhhrlrw8XebJlWzefEwMkzefMokI3uqDuHTp7KxbNg7u0qW9vVWHCvDmlJeJQVLLiw2XUbnZYtnN2kYM1sVotMhI0WVnubrawc2tpks6Yw2ZN2+eGPWhDFljo0ePRlRUVKNP5pdffnnFJ5vKK6xevVoMxjq6yK9WNriuTFmFt4/sEaMhm+OixGjMlbbZkXhJjNo+O3NMDMbaGwdtGWOMMcZYs7i42F31M6ZSaUQWLo0rkUopwKsP6BoHeWsHfSmD1woSSesGeH+KPouPTx8RQTx5thoWFRqszjyAldGHAYkZHu8/DHMHcu3IrkZapIGyUtdWPiLCt0N9kcAYY4yxrouDtowxxhhjrFmo5AFlGzYWeHV0tMajj96IoqJyFBSUIj+/TDQt0y2XivmGOnHrqdUa5OaWiNH0AG9NMLcm4Gsa7LW3t76qAO/0Xn3hlGGGjV/vR2FeTQM2Rxcb3D3retzYq0+zb5N1fPIcXcCWcGkExhhjjLUVDtoyxhhjjLFmoQDpvHmT8OqrPzW4zTPP3IJRo8IbDcgWF1eIIC4FcymQWzu4a3zZkgFeCtiaBncbLtNAJRro8ZKLx5Px+f90TX+MUQCX5n3tHODWyGNmnZM8t6Z+MzchY4wxxlhb4aAtY4wxxhhrNgrILl06XTQbM864pQxcCug2FrCtnRl7JRSwLS4uNwru1mTs6paNg7xlIoB7pdvLyysVoykBXgcHa7GfKSk1zajqQ8/FyJFhhiAv6xrkOWpDPebQUK/23h3GGGOMdRMctGWMMcYYY1eFArMUpNy69QRWrPgTzzwzBTffPKjFg5YUOHV0tBEjMND9igHZkpIKk+BuTZDX9LKpAV59MPhKKHi9adNR3HzzQFhZmTf7cbKOp6K8CrJi3e9ISIgXzM354xNjjDHG2ga/62CMMcYYY1eNArShod5imS7bO8tUnxlLIzCw8W21WgrwKgylGYwzeWsHffPySq5YooGsXr0Da9b8haAgD0RE+CA83Fc0r/L1dWn1Rmms5WVcrsmu5nq2jDHGGGtLHLRljDHGGGPdkpmZmahZSyMgwK3RbU+dSsT8+d826XYpuBsXlynG77+fEHO2tpbo1ctHBHIpiEvLFFhmHVva5XzDMh03xhhjjLG2wkHbFkKZGiqVCmp1TaMC1no0Gg2USiUUCgUkku5TN04qlUImk4kPmYwxxhhrO3379hD1eo3r99ZmZ2eJG27ohejodCQmZkNrlJhbWqrA8ePxYuj5+jqLTNzwcF0gNzjYAzKZtLUfCmuG9KSaTFsO2jLGGGOsLXHQtgVUVVUhIyMD5eXlLXFzrIlBcgrclpSUdLsAprW1Nby8qKYa18pjjDHG2gqVfaAGa6+++lOD2zz33K2GBmzl5ZWIiUlHVFQqLl5ME5e16+KmpuaL8fffZ8V1qpdKja70QVwK6Lq723e79zodRVWVCmlJuWLZ0loOV1e79t4lxhhjjHUjHLS9RhQ4TExMFBmQ3t7eIpDGb6zbLrO5O2Wd0mOmLwhycnLE71zPnj27VZYxY4wx1t4oILt06XR89NF2k4xbysClgK4+YEusrS0wYECgGPrX8aysouogri6QGxubAaVSbRIkPH8+RQw9Fxfb6gCurj5uWJg3NzlrA3v3XsTKlVuhUuqakCnKlbj33g/qHGfGGGOMsdbCQdtrREE0Ctz6+fmJDEjWNrpj0JZYWVlBLpfj8uXL4nfP0tKyvXeJMcYY61YoYDdyZBj+/PMU3n9/C+bPvwVTpgy4YgM2er/i6ekoxrhxvQ1B2vj4LBHEjYpKE5fp6QUmP5eXV4p9+6LFINTMLDDQ3RDIpUs/P1ductbCAdv6MqopUE/zFLjnwC1jjDHGWhsHbVvI1WQ8UhdieiPeEMqscHHh07DYtf+uMcYYY6zlUICWMl4JXV4pYNsQKoegy6D1wR136OYKC8tEFq4+kBsdnYayskqTJmcU6KXxxx+6Jmc2NhaGTFx9IJebnDU9EaCkRIGCglJRviI3t0Rk2DaGMq0pcH+1x50xxhhjrCk4aNuO6I322rV7Glw/c+ZoPPjgmDbdJ8YYY4wx1n4cHW0wfHioGPogbXJyrqGsAgVyk5KyxbweBXWPH08QQ8/b20kEb/UZucHBnpDLu0eTM3puSkoqkJ+vC8TqA7J0mZ9Pl2XV60pFkFyl0pVAaCrKuD13Lhn9+we02mNgjDHGGOOgbTuaOnUQRowIE8v0ZvzNN3/Fyy/fAX9/V0OmbXdw+PBhPP300+Kys0tKSsKkSZNw5swZWFhYtPfuMMYYY6yTo3IIAQFuYlAZBlJRUVWnyRkFIY1RmQUa//xzTlyngK2uyVlNINfDw6HJZabUag1iY9PFMl327OnVppmmFIgtLi43CrjWBGPrBmfLxP62JjpjjjHGGGOsNXHQth1R6QMa9KaS3njr34QHB3t02tOt/v33X7z22ms4efKk+BBQWFh4xZ954YUX8PLLL9eZr6ioQJ8+fZCbm9vg7WRnZ2P+/PnYs2cPiouLERwcjKVLl+LWW281bJOeno7//ve/YhsXFxe88sormD17dr23FxsbK/bn0KFDUCgUiIyMxLvvvouRI0catrl48aK4vVOnTsHX1xf/+9//DPcXEBCA4cOH45NPPsFTTz3VpOeMMcYYY6w5rKzMRZanPtNT3+RMH8DVNTlLN2lyRssXLqSKoefsbGsop0CjoSZnVOPVuPnaihV/4rvv9l9zUy56D1xcXFEn+FpfhixdGmcXt0QwnLKanZxo2IpLZ2cb8V789991ZScawyXMGGOMMdbaOGjbzmq/CaaGFuvW7e20nWltbGzw0EMP4f7778ezzz57xe3Pnz+PmJgYTJkypc66xYsXo0ePHiJo25DS0lIMGDAA77zzDry9vbF161bcc889OHbsGCIiIsQ2//nPf0QwlwK8dH833XQTQkNDMXr06Dq3R8HhyZMn47PPPoOzszO++uorsW/x8fFwdXWFUqnE1KlTce+992Lnzp34559/xP2dPn0aISEh4jZmzpwpgsIctGWMMcZYWzBucjZ2bKQhSJuQkCWCuPpAblpavsnPUXD0wIEYMWqyet1NArmXL+dgyZKNTW7KRYHYoqJyo3IEdUsT6Odpu5YOxJoGYW0bvG5vb1VvkgTt/4GDMcjLbaTvhKsd+vTxb7H9ZowxxhirDwdtu0lnWsoApUDiL7/8gri4OJEN+vXXX4tAp/7N/ocffoiPP/4Yly9fxh133IEPPvgAjz32GLZt2yaCnj/88AN69erV6P0MHTpUjN27dzdpv37//XeMGjUKUqlpjbUTJ05g+/btWL58OaZPn97gzwcFBeG5554zXKeAalhYmCi1QEFbCrbu378fP/30kwgoDxs2DPfdd58IxtYXtNXvvx49Z5R5e/bsWYwbNw579+5FXl6eyNaVy+W45ZZbxO2sW7dOZPgSyspNTaUPRxcRHt75Au+MMcYY6/yoHAJlztKYNk333oaCpDXZuLpAbu0mZxTopbF160kxd6XqCW+9tQm//37MUJagpQOxFFjVB1opE1YfgK0djKVhZ2clArfXen+hNwfj4Noz4rrxrekfVejNQZ32rDjGGGOMdR4ctG0n9C0+Zdi2ZWfaL774QgRg/f39MWfOHJENu2vXLsP63377TQQ4qSwAZa9SMJKCuN9//70IXi5YsEAEWVsSZajWDgSrVCpxf6tXr4ZG07x6ZJRNS8HSvn37iusUbPXy8oKHh4dhm/79+4vH1RTnzp1DSUmJIWuXbo9KJlDA1vj2aF6P1lHWLT02DtoyxhhjrKNwcLDGddf1FINQcDUlRd/kTBfMTUw0bXKmvUL8tbJSiRMnEpu1HzIZBWJrZ8HqA7Om8y0RiG2uZ6bfiN5untj49X4U5pUZ5p1dbHHXrJG4cWyfNt0fxhhjjHVPHLT9//bOBV6mcn/j73a/X6OLyCWXJIUkEupEpRxOQiLUEUqUSjenJKmjOkWknG7oeup00710oZCcboiiixRyv9+2vff8P9+f/ztmj5m9Z7O3mT37+X4+s2dmrTVrrVnvzJ53Pet5n5/LfQYO/PcBxSDCSU1NswyvrMBxe9FFD7hixaI3Ex3byZMHxLRfCLVeICWn9aijjjJHKLmsgGOVSABAsMX92rp1a3verVs3N2BAbNvJCZs2bXLlypXLNO3+++830RgHbqyOXUhNTbWoApy5p556ajA+oUKFCpmW4zlCbHYQlcD6brvtNjtWOVkf74n3JoQQQgiRqCCGHndcFbudf37mImeIuDNnLg7WXYjF2Rsqtu6PIzgwmqBs2RIxF0CLB1VKlXaXXnC663Heae6dd76x+LLrr7/QCsHJYSuEEEKIw4VE2zwAwXb9+typKJudsJsTyIf14DwtXry4W7lyZVC0DXWjlipVKpM4yXMEy9ymYsWKVkDMQ3QDRbwo8pUTEGwvvvhi28/HH388OL1MmTJuy5YtmZbledmyZbNcH8uQfYtofeedd+Z4fbwn3psQQgghRH4tcka27bBhU7N9zT339DT3biILsQcDAi3xEsC9BFshhBBCHE4k2uYBOAmyIxanLVAkITunbayQVRsaI7Bnzx5XrVo1F0+IFiBGwEM8w5o1a6xQGFD4CxcrRcAoMkYmbSTBFicw90Q8FCu2v+oxMQmrVq2y91u1alWbxvZOOumkbAVbYhAQkENPQFjf6NGjbb98RALra9q0aXAZ5iE+896EEEIIIfIrFNuqUqVcsGBuJJh/2mnHJ51gK4QQQggRbyTa5gGxxBWQaduz5/hsO8EvvHBtrl3Vnzx5suvcubNl2lJci/gB77LNLcigRTzlBuTjQokSJSIuTyEvCqClp6dbHAPRBuecc05w/ty5c13//v1NGPWia79+/eweRy0CKa/ZsWOHe+utt8w9HAoF1CgMRsQBhdUWLVpkGb2vv/56cJl27drZDUctDtnzzjvPRGMygMNPQDhmREiMGTPG3Xrrre6jjz6yCIdx48YFl5kzZ46J4cqzFUIIIUR+hj7oNdecF7Fwrof5cqAKIYQQQuQ+Knsa505wVuR2J/iKK65wPXv2tBgEYhEQL3ObWbNmuZIlS5pTFccqj7lFA+dq3bp1rUAaEG+AkOxvVapUMeGUx95Bu2LFCteqVaugQIq7dvbs2ebGJb6A2z333BPcxgsvvGDvl3V17drV8nzJ7PWwPoRdeO2119wXX3zhXnnlFcul9evzxwp3LcXYPvzwQ4uPuPbaa20ehcc806ZNc4MHD871YyuEEEIIcbhp0+YEN2pUdzMThMJzpjNfCCGEEELkPnLaJkAneOLE9zI5bukEI9jmdieY4f4jRoyIOC8QVhp4ypQpmZ7jRKUwV3awXPi6smPs2LFu2LBh5rqNtL7Q7RLpgADr3baIr9ltD9erF4UjRUYgYrdv396e9+3b125Z0bBhQxOJo60PIXnSpElZrkMIIYQQIr9An/SMM+q7t9/+yj300Dtu2LCO7oILmslhK4QQQgiRh0i0jSMbNmxzRx1Vwd11V3c3e/aP7tlnP3O9e59pneJChQrZ/MqVsy6YlQy0bNnS3K2xQPzBjz/+aEJtWlparhRnI4Iht2B9S5YsybX1CSGEEEIkAoz+qldvX1Eu7hWJIIQQQgiRt0i0jSNvvvmVmzp1ZqZpCLfcoG/ftq5fv3YukSBKAKdptMzcXr16HfZ9EkIIIYQQQgghhBAimZBoG0c6dWrmWrWqH3V+5cplcm1by5cvz5X1UMRs+/btubIuIYQQQgghhBBCCCHEgUi0jSNEHxSE+AMhhBBCCCGEEEIIIUTsFHIJyCOPPOJq1qzpSpQo4Vq0aOG+/PLLLJcfN26cq1+/vitZsqSrXr26FbXavXt3cH56erq7/fbbXa1atWyZOnXquNGjR+e4YJYQQgghhBBCCCGEEEIUOKftf/7zH3f99de7xx57zARbBNlzzz3Xik9VrVr1gOWff/55d8stt7innnrKtWrVyi1dutT169fPpaSkuAcffNCWGTt2rHv00Ufd1KlT3Yknnuj+97//ucsvv9yVL1/eDR06NA7vUgghhBBCCCGEEEIIIfKJ0xah9corrzRRlYJXiLelSpUyUTYSc+bMcWeccYa79NJLzZ3boUMH17Nnz0zuXJbp3Lmzu+CCC2yZiy++2JbLzsErhBBCCCGEEEIIIYQQBdppm5qa6r766it36623BqcVKlTInXPOOW7u3LkRX4O79tlnnzUB9rTTTnO//PKLe+edd9xll12WaZl///vf5sKtV6+e++6779znn38edOJGYs+ePXbzbN261e4zMjLs5uExMQv+lhPW7dxht2hUKVXabiIy/ngXtJgL/1kL/ywmI/77lezvsyCjNi4YqJ2Tn0AgI3hfUP5n+/dZEH6PPWrn5G/nRP9/naj7JYQQQiS9aLt+/XrLnz3yyCMzTef5Dz/8EPE1OGx5XevWra2DkZaW5gYNGuRuu+224DLEJyC6NmjQwBUuXNi2MWbMGNerV6+o+3Lvvfe6UaNGHTB93bp1mfJy9+7da50HtsstJ7y45Ds3ecH8qPMHNm7urjr5NJfszJs3z91www0mpMcKbU07AlEYycLy5cvdhRdeaBcvihcvHnEZPmd85jZs2OCKFi3qkhne55YtW6y9uYAjkg+1ccFA7Zz8bNy4KXi/dm1y/zZ5Nm3aGLxfu7awKwionZO/nRP9//W2bdvivQtCCCFEwRRtD4ZPP/3U3XPPPW7SpEmWgfvTTz+5a6+91gqNUXwMXnrpJffcc89Z/i2Ztt9++6277rrr3DHHHOP69u0bcb24fcnW9SD6UuSsSpUqrly5csHpCLh0HooUKWK3nHBWjTquVvlK9njl9q1uwjdz3ZAmLV21MvvWX7N8xRyvM9488MAD7plnnjHxkePUo0cPa59ixYpFfc2IESPsFv5ed+3a5Ro3bmyi/KZN+04Gw2E67TRz5kxrI4rM3Xnnne6vf/1rcJlVq1ZZ5AbLVK5c2f3jH/+w57HODwW3NhcBcH7T9nyeyEwmosOzZMkSe/0333zjjj32WHf//fdn2p+s5h9//PHmDH/iiSfscxwJjhOdaPaVYn3JfuKAKM/3LhFPHMShozYuGKidk59Nm/bafaVKFSPWIEhGNm/ed/G4YsVKBeY9q52Tv50T/f91svd9Rd7B6Wj4KWnoR7xMGT7/B74uNXXfTQgh4kFCKYJHHHGEOWHXrFmTaTrPjzrqqIivQZglCqF///72/KSTTnI7duxwAwYMMCGQzsbw4cNNaLvkkkuCy/z222/mpo0m2uJyjOR0ZH2hHRge07Hxt1hZtX2r6/Puyy71/92iHoRbT7HChd3bXfu6Y/5fxM0vHb0nn3zSnXLKKdZuXbp0Mccywm0kFi1aZEXmyBsOP34jR450xx13nIm24fO4+s+07du3uyZNmphwigj/9ttvWzvPnz/fMpG9Gxsxd+3atbY9CtvVr1/ftW3bNqb5oeA8OP/88y1uo1KlSpa1zL7//PPP9vnFeY0Ayzo/+ugjN2PGDNsfLhQgyGY3H/hMIupyYSES/rMW/llMVgrSey2oqI0LBmrn5CYlpVDwvqD8v/bvsyD9RqmdC0o7J27fKxH3SeQPjjnGuZo1o89v2jTy9OXL992EECIeJNSvHm7MZs2amZgVKgLyvGXLlhFfs3PnzgN+vBF+Q7NOoy0Tz0ykzbt3HyDYhsN8lssNKMBGJETTpk3NAYswicM0tHM2ceJEEzpLly5tQjguVpyyLI8wGi2iIpSbb77ZNW/e3Ibt4yLt06dPlrEH06dPd23atAm2mYd4gPfee8/WlxW1a9d2N954o22LNu7UqZMJrl988YXNR0xl+wj0vC/c2MRi+MJ22c0Ph9xkLgjgPmCfEVe5X7Bggc2fNWuWxRZwMQEnAFEHiL+4j2OZD7h2//jjD3PkCiGEEEIIIYQ4NDj1/d//cn4LOWUWQoiCLdoCQ90ff/xxN3XqVBOtrrrqKnPOXn755TYfETC0UBki3aOPPupefPFF9+uvv7oPP/zQBDGmeyGQxwiWuDAZtv/aa69ZEbK//e1vriDBkHsiIv78809zLvfu3TvT/DfeeMMEzGXLlrkPPvjAxMQhQ4a4jRs3mnP2pptuyvE2iRwg4iAaOEzJGg7PbEUMfeSRR7KMVYgEblk+N36biKlHH310ppxk3osXWbObnx0LFy60eAzv6uV1RCaEZs2Gby+r+cA8XLccGyGEEEIIIYQQhwYRB9u35/ymaAQhRDxJqHgEwNlJsa877rjDxEUELRyXXlRbsWJFJtcs+aO4RLlfuXKlOSC9SOuZMGGCCblXX321iXoMox84cKBtIy/o/sbzbv2unVkuszcja5etZ+AHr7mihaIXPTiiZCn3UudLY1oXArgXSO+77z4TbnF04lIFHKsM+QcEW0RvCrxBt27dzGGaExDfZ8+ebdmt0cDNG5oRDGS84uzFgUtmcaykpqZa1ED37t3dqaeeatOIT6hQoUKm5XjuixhkNz8rNm/ebNuj6J2P78it7XFMouX4CiGEEEIIIYQQQojkJuGctnDNNddY5uyePXvcvHnzbMi6BxFvypQpmYoykX1KATIKVyHq4tAMFcbKli3rxo0bZ+tkGYbE33333Tl2ccYKgu2anduzvG3cvSumdbFcVuvJThwOhXxYDyI4mb0I3aHTPKVKlTrgOYJjrFD4DSEdxy5O1mhUrFjRCoh5aMfHHnvMhNucgGB78cUX234iFnvKlCljObSh8JzPRCzzo8EyREwgalP4LLe3xzHh2AghhBBCCCHyH5yTElFHJBrns19++WXUZal7cdddd1mdDZY/+eSTzbgUCnFuxNBx3kDxQ2qHUBsklHbt2mWqt8Jt0KBBefYehRBCFEDRNr+D+/XIUmWyvFUqUTKmdbFcVuthW7GCaO3BcYwoXq1aNZfbINhSRIuORlbRCICTOjQrl3gGCpjVq1fPCnt17tzZBEweI+BHE2xxAnP/yiuvZBLj2T7ZvbxfD7EDFKOLZX5Wgi0xBwjMoUXSWN/3339vHa9o28tqPjAP8ZpjI4QQQgghhMhf/Oc//7HYP8xFX3/9tYmwnD+EnnOEgtll8uTJNkJ08eLFJrQS5Rc6YpHYucGDB1vtDiIBOWfo0KGDRQmGQszc6tWrgzdGWAohhMifJFw8QjIQS1zB4vVrXbfpz2e73OQOf3MNj6iaK/tFRwARtEaNGlbgi/gBH42QW7zwwgtu6NCh7v3337eIg+ygEBedk/T0dItjINrgnHPOCc6fO3eu69+/vwmbXFGGfv362T2OWjorvIbOyltvvWXu4VC4Wk1hLyIMHn74Ybdo0SITlV9//fWY5vsr1txw1CIgn3feeSYqkxEcKtgCx5SICeI5yF6miB7ucJzescyHOXPmmJh+wgknHGQrCCGEEEIIIeIF9VMQT31dFowe1Feh2PEtt9xywPIUJR4xYoTr2LFjMNZuxowZ7l//+pd79tlnbVq485bRp5wfUcCZcwwPIw99dJsQQoj8jZy2BYgrrrjC9ezZ02IPiEVAnMxtED8RNhE5iQLghiM1GjhP69at6959991gJwMh2d/IKEYY5bF30BKB0apVq6DASQE1snNx4/pt3nPPPZmEZJ933LVrV7vaTGZvrPPZHsIuUMSOq9s4esmd9dvzx5IiYtOnT7er30R0XHvttTaPwmKxzIdp06bZVXQhhBBCCCFE/oLRfwipoUYUarLwHENKJBgBSSxCKCVLlrRRiNHwkWu+JomHcwvOixo1amQmkZ07Y4/TE0IIkVjIaRsnKpQo4YoVLuxS06MXJGM+y+UWiKdcwY1EIBDI9Dw0NxgQYSm8lR2//vprjvdr7NixbtiwYea6DSd8u3RoEFi92xZxNXzfw8G16kXhnM4nUgKRu3379va8b9++dsuKhg0bmoh8MPPZHkL0pEmTstyGEEIIIYQQIvFYv369jSIMrQ8CPA+NhQuF6ATcuThmGQnIaLxXX33V1hOJjIwMi6PDWII467n00kutjgmFtxcsWGCjK8m9ZV2R4NyKm8fXGmG7ftsYaBCd2WboeVf06ZxbIlSTqbt/W+np+5YpXDjzSMXcmM72MjICtj22m/30gMvIYNq+97H/uAYi7nu06fF8T7G3R+TpTGNepOm2L5n20LkMth1hOp+SlAhuwIOZzrTQIxP4/+1Gmx7rPuZ0+uF6T6Hf74NpJ6aH/4/w7ecC4XuT4ZfIPDklY99OZZoecC4lkMX0lAPfVY6mZ+x7GnV6jPvu4v+e/PE/mHbKTsfySLSNE8eUKeee6djdLd+yyZ6v3LbFPfzNXDe0SUtXrWx5m1azfEVbLtlp2bKluVdjgfgDOh58wNPS0vJ83+j0RLsinlfbW7JkyWHbnhBCCCGEECK+jB8/3uIUGjRoYCf4CLdEKxCnEAlG5RHrFu7EHTBgQPAxNTMoCP2Xv/zFCnGzznAobjZq1KgDprM8owmhfPnyth7qjoQWVMbNyw1DTWiu7hFHlHTr1u1yjRpVdqVK7ZcblizZ6LZsSXVNm1ZxhQvvF02++269S01Nd82bZxa5589f44oVK+xOPvmI4LT09Aw3f/5aV758MXfCCfsdxjt3prkFC9bbtuvU2XcuDZs373E//LDJVatWxh177L73A2vX7nS//LLV1axZzlWtur9GzB9/bLdbvXoVXIUK+2P3fv55S8K9p40bN9oFAk9O24kIDUZ+Ll++3NzhHh+f2LpEeVckRKH+YvdWtzuQ4dqV3F/wHT7dtdmVSCnkTi+xX7dICwTczN1bXMVCRVyT4vuP+46MdPfFnm3u6MLF3AnF9h/3Delp7tvU7e64IiVc7aL7TWsr01LdD3t3unpFS7lqRfbXrfll7273a9pud1KxMq5y4ZD2SN3pVqWnuubFy7rShfZLsd/s2e42ZqQl3HtatmzZIbUT31G+qwiFnlq1arkiRYq4IpvrZ3pPaRV+dC6jqCuytXZwWiAl3aVXWOpS0kq7wttr7J9eeI9LL/eLS0mt4Arv3F9UPqPodpdR5ndXaHdlV2h3lf3Ti292GaVWu0K7jnKF9uw/lhkl1rmMkutdoR3HukJ79x+z9FKrXaD4Zld4Wy2Xkr7/e5ZeZoULFN3hCm853qUE9rdfWrlfnCu0NyHfk2/Dg2mn0OdZIdE2jsz8/Rc36dvMxbUQbj1Xn9LCNaqS+R99vCEqAKdotMzcXr16HfZ9EkIIIcThZ8OGbW7Dhu32eMWK9cF77/KoXLmMq1y5rJpGCFGgQHihVgfiWSg8j5Y1S0wbNTV2797tNmzYYE5Zsm9r194vRniuueYaq+Uxa9asbOuTtGjRwu4pchxJtCU+gYJpoU7b6tWr27JEwYF3ouIU9jVGQqczajHUMbZ+/S67X7RoQ0RX6tdfr8u0D346gmb49F270g6YDgilodP95tn2xo27D5i+cuV2t3r1fiHM7+/y5Vvdb79tC07HwQpLl24+wGmbaO+JWIyKFSsGp+e0nfxvdc2aNSNO/3z3fuHXjsH/u0QRNDO9JwTmQMYB02FTRlrE6avTU92aXfuFLc9vabvdirSQ9/r/90v37nTL9u48YPrC1O0H7CPM37Mt4vREe0/ERB5qO4V/r/10EzTD322hPRGmOxcosiNs+r7tBIptdmnFth4wPaPEBpdRYuOB00v+6TJKrjlweuk/XEa4o5bjXJZR2hGml//pwH13ifmefBseTDvx/z4WJNrGke4NGruzahz44+mpUqp0rm0LxT83oIjZ9u2Z/zkKIYQQouDx5ptfualTZ2aadu+9+wt59u3b1vXr184VBKHaI6FaCEEdjmbNmlnEQZcuXeyA4KjiOYJrVpBri2hDsWVqaFBw2YMQMGTIEKuxQSFjnFrZQTFnwIEZbRRjeCFnQHTmFnHYdRjh071e4YXOcLygmRfT2XZOpu8zukWaHnmbifSeYm2Pg50eLcQx0vRALk2P5juMNj09D6cfjvcU/h07mHaKtI5gREDULYcvm9PpvNtAHk7P6SchI8I6cjr94PY91v+TkdopvKh9NCTaxhFE2dwUZoUQQgghDhedOjVzrVrVDwoSmzZtdBUrVsrktC0IQvWYMa8mtVAthMg5uFepg3Hqqae60047zY0bN86GPBN5AH369DFxlngCmDdvng2LPuWUU+z+zjvvtP+rN910U6ZIhOeff96KMJctW9b9+eefwWHxFC1j+C3zO3bs6CpXrmyZttQNISeX4s9CCCHyHxJthRBCCCFEjiH6wMcfIC6sXVvYhmRGcxkkm1AdiWQUqoUQOadHjx5u3bp17o477jBxFTH2vffeCxYnI3Iu9H8lw2T/8Y9/uF9++cXyDxFen3nmGctI9Dz66KPBQs2hPP3001akGYfvjBkzggIxMQddu3a19QohhMifSLQVQgghhBAih0K1EEJkBVEI0eIQiDcIpW3btm7x4sVZri+7SuOItDNnZh4JIIQQIn+TvFYIIYQQQgghhBBCCCGEyIfIaRtHdu3dbLdolCxawW5CCCGEEEIIIYQQQoiCg0TbOPLzhk/c92v2V1kO58Qju7hGR/3NJTtffPGFu+666+y+oLNt2zbLvKIYwRFHHBHv3RFCCCGEEEIIIYQQcUDxCHGkTuWzXPu6o+zWovpAm8a9n8b8/AZB+PXr17cqpoiOF110kQXtZ8XNN9/sRowYEXxOxdQuXbpY1VPW0b17dwvyj8SePXvclVde6WrVqmVVVBs0aOCeeuqpTMts3brVXXrppa5cuXIW/j969OgczQ9l7dq1rlevXu7YY4+15Zs0aeKmT5+eaZlVq1ZZ8YDSpUu7GjVquMcffzzm+bwHqsmOGTMmy2MmhBBCCCGEEEIIIZIXibZxhOiDSqVq2m1vxi6bxr2flh+jEc4++2w3e/Zst2XLFvfHH3+4OnXquCuuuCLq8osWLXI//vijiZiewYMH2/1vv/3mfv31V6umOnTo0IivT0tLc0cffbRVSkV8nTJlirvhhhvcBx98EFxmyJAhbuPGjSYef/bZZyaSTps2Leb5oWzfvt2EWlzBmzdvdnfddZfr2bNnpsIBPD/qqKNM4H355Zfd8OHDMxUFyG5+3759TfzeuXNnDEdcCCGEEEIIIYQQQiQbEm0TACqB/rR+hj3mPrvKoAdDzZo1zb3ZtGlTc4iee+655vj0pKSkuIkTJ7qGDRuaA/Syyy5zmzZtcj169Ag6Sn/44Ydst3PccccFh/XzPgoVKuSWLVsWdXlcqm3atHGFCxcOTvvll1/MXVumTBlznrIPCxcujPh69hXhFHGY93D66ae7s846y33++ec2H+HzxRdfdHfffberUKGCq1evnom0Tz75ZEzzw6ldu7a78cYbzWnLe+vUqZM5i320w88//2zbvvfee23fWrRoYc5c7/7Nbr5vK1zGqv4qhBBCCHH42bBhm1u6dLXdVqxYb9O499OYL4QQQgiR10i0TQD+3LbIbd2zT0Dlnud5wRNPPOGef/559+eff5rTs3fv3pnmv/HGGyYoIrLiVG3btm3QhUrO6k033RTTdlgHAmipUqXcgw8+mCn6IJxvv/3WIg1Cuf76682BilsXN+sLL7xg4mgs4Mr98ssvXePGje05Lt7U1FTbfw+PFyxYENP87MAtu2TJkuD2eB3OX2IWIq0vu/kexHOOjRBCCCGEOLy8+eZXbuDAf9ttzJhXbRr3fhrzhRBCCCHyGhUiywM+WDrS7U7bEtOyuFH3pGW+Wv/Zrw+54kXKmnM0O0oUKe861BsV07auuuqqoEB63333mXBLhAGuUcBBWqlSJXuMYIv7tXXr1va8W7dubsCAATFth9cgtq5fv96EYgTIaODmxckbyhlnnGERBRUrVrTnLVu2dLfeemtMx7J///6ubt26lqXr4wxwtBYpsv+jjqBMwa9Y5mcFYu8ll1xiruBTTz01uD5eH0r49rKa7+GYcGyEEEIIIcThpVOnZq5Vq/pR51euXOaw7o8QQgghCiYSbfMABNtdew9ecAu4dLc7bbPLbYgu8OD0LF68uBX98qJtqPsTl2youMhzBMecQEzC3//+dxNR2Q7iaDgIs2TRejIyMlz79u1NCP3www9t2p133uk6dOgQjCCIJtheffXV5pwl35boAiBigQgEsm+9MIuDl9iFWOZnJdhefPHFdlxCC4mxPl4fSvj2sprv4Zg0atQoy30QQgghhMhriALYsGFfHzA0KsD3tRAwK1fOut+U3+D9JNt7EkIIIUT+Q6JtHoD7NScuW0TacFJc4ZjctrFuyxf2Ch3Wv2fPHletWjWXl+zdu9dESbZXq1atA+YTDRAaA0AUA/tJ4TEEUSCi4f777zfnrs/LDT+OFC+bN2+e++ijj1z58vuPCXmzRYsWdd99951r1qyZTWN7J510Ukzzowm2OI+5J1KiWLFiwXnEJJAVzPutWrXqAevLbr6HwmaI0EIIIYQQ8YQogKlT9xdMhXvvfT34uG/ftq5fv3Zx2DMhhBBCiORGom0eEGtcweqtC92sXx+IOA8h97Tq/d3R5aKLhzll8uTJrnPnzq5GjRru5ptvtgJg3mWbWzz99NPmlEUMXrNmjYmvFPeiuFYkLrzwQjdhwgSXnp5ucQyIsscff7x75JFH3MiRI20ZHrOfXrDFefvpp58GnbjXXHONmz17tvv444+DkQoehF8Kmd1+++2WjYtYyvZGjx4d03zo16+f3U+ZMsVEaFzAO3bscG+99Za5lUOhIBrxDrfddpt7+OGH3aJFi9xzzz3nXn/99ZjmA6I1AjXtI4QQQgiRKFEBjIjatGmjq1ixUianrRBCCCGEyH1UiCxO4A5d+Ocr5qmNTIrNZ7nc4oorrnA9e/a0GATiChALcxtcoy1atLAYgKZNm5qL9d13343qGMZ5SnwCy3hwr3799dcm/FK0i8Ji06dPD85fsWKFa9WqVVDgnDRpksUiEP/AdrkNGjQouPzEiRPNfYvwi2BKZEOfPn1ins/2mA5z5syx/UMkRkT227vnnnuCyyP+cnyrVKniunbtavnBZATHOn/atGkmFEeKkxBCCCGEOJwQE1Cv3tHBW61aVTI9V4yAEEIIIUTeIKdtnMgIpLmdezeYpzYyAbdr70ZbrnBK0VzZ5oknnuhGjBgReWth4jCu0lDatWtnxcWyY/z48XbLCWPHjnXDhg0z1y1QuOz999+Puvz8+fPdJ598Yo8RarMTtinqhVB6MPOJkEBg9W5bxNXstofYHCpC52Q+BcmmTp3q5s6dm+U2hBBCCCGEEEIIIUTyItE2ThQuVNS1qXW927p7tT3fkbrOLVrzqmt05EWudLEqNq1ciWNsuWSnZcuWWRYZC2fhwoUmnFI8LK8h/gAX7+GCgmQ//fTTYdueEEIIIYQQQgghhEg8JNrGkVVbv3Xfr9mfZQoIt54Tj+ziKpWKnAUbL4gKwAkbLTO3V69eh32fhBBCCCGEEEIIIYRIJiTaxpE6lc9yx5RrEnV+yaIVcm1by5cvz5X1UMRs+/btubIuIYQQQgghhBBCCCHEgUi0jSOIsrkpzAohhBBCCCGEEEIIIfI/heK9A0IIIYQQQgghhBBCCCH2I9E2l8jIyMitVQmhz5oQQgghhBBCCCFEAUbxCIdIsWLFXKFChdyqVatclSpV7HlKSkrutI6ISiAQcGlpaa5IkSIF5njznlNTU926devsM8dnTQghhBBCCCGEEEIkHxJtDxHEs1q1arnVq1ebcCsOn4CJu5njX1BEW0+pUqWsIBzvXQghhBBCCCGEEEIkHxJtcwEcj4hoOD/T09NzY5UiGxBsN2zY4CpXrlygxMvChQsXKHexEEIIIYQQQgghREFEom0ugYhWtGhRu4nDI9pyrEuUKFGgRFshhBBCCCGEEEIIkfxI7RJCCCGEEEIIIYQQQogEQqKtEEIIIYQQQgghhBBCJBASbYUQQgghhBBCCCGEECKBUKZtjAQCAbvfunVrXraHyEGm7bZt25Rpm+SonZMftXHBQO2c/KiNCwZq5+Qn0dvYn4v5czOReOe8aWm7c3GPRDTyUpdI36U2zO9tuHN7ap6tW+ROG8b6e5YS0C9eTPzxxx+uevXqB90gQgghhBBCCCEOnd9//90de+yxOpS5jM55hRAisX7PJNrm4KrzqlWrXNmyZV1KSkputY84hKsSiOh8wMuVK6fjmKSonZMftXHBQO2c/KiNCwZq5+Qn0dsYvxFO4GOOOSYhncD5nYJ4zpvon3mRPWrD/E9BbMNAjL9nikeIEQ6iruYmHnyhC8qXuiCjdk5+1MYFA7Vz8qM2LhionZOfRG7j8uXLx3sXkpaCfM6byJ95ERtqw/xPQWvD8jH8nunypBBCCCGEEEIIIYQQQiQQEm2FEEIIIYQQQgghhBAigZBoK/IlxYsXdyNHjrR7kbyonZMftXHBQO2c/KiNCwZq5+RHbSwKGvrM53/UhvkftWF0VIhMCCGEEEIIIYQQQgghEgg5bYUQQgghhBBCCCGEECKBkGgrhBBCCCGEEEIIIYQQCYREWyGEEEIIIYQQQgghhEggJNqKfMW9997rmjdv7sqWLeuqVq3qunTp4n788cd475bIQ/75z3+6lJQUd9111+k4JxkrV650vXv3dpUrV3YlS5Z0J510kvvf//4X790SuUR6erq7/fbbXa1atax969Sp40aPHu0CgYCOcT5m1qxZrlOnTu6YY46x/82vv/56pvm07x133OGOPvpoa/dzzjnHLVu2LG77K3K/nffu3etuvvlm+59dunRpW6ZPnz5u1apVOtxJ9F0OZdCgQbbMuHHjDus+ClHQoS8F6jsJUXCRaCvyFTNnznSDBw92X3zxhfvwww/txKFDhw5ux44d8d41kQfMnz/fTZ482TVu3FjHN8nYtGmTO+OMM1zRokXdu+++6xYvXuz+9a9/uYoVK8Z710QuMXbsWPfoo4+6iRMnuiVLltjz++67z02YMEHHOB/D7+3JJ5/sHnnkkYjzaeOHH37YPfbYY27evHkm6p177rlu9+7dh31fRd60886dO93XX39tF2W4f/XVV+0C+l//+lcd8iT6Lntee+0163cj7goh8pZQcXbEiBHunnvuscdcNBHJw7Zt29xNN90U790Qh8DGjRutH3Q4SAnoso3Ix6xbt84ct4i5bdq0iffuiFxk+/btrmnTpm7SpEnu7rvvdqeccoocHknELbfc4mbPnu0+++yzeO+KyCMuvPBCd+SRR7onn3wyOK1r167mvnz22Wd13JMATiIRdBj1AnQpEXZuuOEGd+ONN9q0LVu22OdgypQp7pJLLonzHovcaOdoF1lPO+0099tvv7kaNWroQCdJGzMipkWLFu799993F1xwgY160sgnIXKXn376yT3wwAN2f95557krr7zSlS9f3n311Vdu2rRpNmKJ7x2/sRJv8x979uxxH330kRkYrrjiiqBBhcfHHXectbcuiuWPNly5cqWNLCpevLh9Hzt37uw6duzoevTokafGIzltRb6Gk0GoVKlSvHdF5DI4qjlBYGitSD6mT5/uTj31VNetWze78NKkSRP3+OOPx3u3RC7SqlUr6+AsXbrUnn/33Xfu888/d+eff76Oc5Ly66+/uj///DPT/21OPBF95s6dG9d9E3nfH0NMqFChgg51kpCRkeEuu+wyN3z4cHfiiSfGe3eESBp27dpl94g+jEIZP368/VZiaEDYGzp0qM1v1qyZu/zyy23+hg0bJNjm0xENXAx78MEHLQLu2muvDRpWaFfio7Ib7SDiC9FP7du3tzZ88803zSG9YMEC+z4S3cmosqlTpwZ/N/MCibYi38KXgquODLFu1KhRvHdH5CIvvviiDbnkH6FITn755RcbOl+3bl1z8Fx11VXWSfU/eiL/w8kHzsoGDRpYDAbCPP+ze/XqFe9dE3kEgi3grA2F536eSD4QHci47dmzpytXrly8d0fkEkTaFClSJCggCSEOfvQgo44wKlCbhf7R77//bqIPmbUvvPCCGzlypF3wJA5hxowZ7ptvvrHXMtKQ39BnnnlGhz+BWb16tYmwuDCJcExNTbXpTzzxhJnLaFPamToe1GsBavTQJ/7ggw+UCZ8ArFy50oRZjGOMHvIQ91WvXj1rQ5zv9HlYDrigiRmFc1ooVChv5FWJtiLfwhdq0aJFJvCJ5IFODFchn3vuOVeiRIl4747Iw4suxF/QOUXMGzBggA0P4odRJAcvvfSSfY+ff/55uwiDIM/wPwnzQiQP1Bbo3r27Ocb8SYvI/zAsGwGCWBMNxxbi0MCJ9+mnn5rjEkEPgY/8d+o7rFixwgxIvmAnAi394tDzW/7HIuyJxDyf4XfwrrvushFFFOh8+umn3ahRow4YGQyYVBh5RsQjINQz1F6FmOPL5s2bzUFL2yCy33///e7f//63zePiZbFixewxo4n+/ve/W5yQh+81jmrct3mFRFuRL7nmmmvcW2+95T755BN37LHHxnt3RC6fKKxdu9YEPf5JciOzmMI2PPZVVEX+hsryDRs2zDTthBNOsM6rSA4YUuvdtnRiGWY7bNgwOeiTmKOOOsru16xZk2k6z/08kXyCLTm2CBFy2SYPDN+lL0Y+se+L0c7kVdesWTPeuydEwjFnzhyLMIgEmbTU6MBViejTqVMnW5ZRSGlpae6II46wWATP3/72N/uf6mFoNudHoHJE8YHj/vHHH1s/lqKbFMqmmBjOSgTXWbNmmdBO33fIkCFWhJe2rVatmt37YfM4NhEAfXvzGeCciBGIIm/JyMiw2DbakAxazCVeV/jyyy/dt99+a8aS0aNH23zviC5VqpS1v//ukd9Pm1KAFWhP2tC74/MCibYiX8GXBcGWqxv84+RHUCQXf/nLX9zChQvtH6e/kX1KR4fHhQsXjvcuilwAV4H/sfOQfUogv0gOqDAfPkyI729e5T2J+MNvMuIsnWLP1q1bzWXUsmXLuO6byBvBFncYQwYZ8imSBy6y4RoK7YtRKAdBgkgjIcQ+MJVgOkCoGzhwYFBsDRVXa9eubUPh/ZB5BFtybcuUKWO/mdR28IIPr+O3lKKtHr57LIc7U873+ID2cOedd5o4h1v23XffNXEPaCvfLrQf/Z0qVaoEzWX0hUNdmLQv/aLQ57791UfOuz7L448/bg5o2hBDyUMPPRQslsx3s06dOnb8aUMKJ3PhknNTovzoy1Io0EMbc6HGQ+xJXrZhkVxfoxB5HInAUNs33njDfvx8Rh7h7aE/biL/QruGZxSXLl3aTgiVXZw8cJWTQlXEI3DizxVOhqH4oSgi/4OTZMyYMebUIvOJzgwZUFTLFfk7my+040rxMQQdhpPR1uQW33333dbJ5UTk9ttvtxPO8Kr0Iv+2Myc8F198scWeMOoJp4rvjzHfDyMU+fu7HC7E4whDOKpfv34c9laI+BcjopgqAi2jh3ykG30bCkmdffbZNpKIfg7nK/yfDAUhiP+N5GEyfB6xFxD3zjrrLOsXc57Ld++9996z30zcfLjc6SNjatH/1ryF37GKFStaXEE4tPmrr75qrmj/ecBdy/9RDAnVq1e3HFTEO+AegxnnOfxPJc+WfGKgb4Rg7+Hz4ovT5VUmakFh7dq1dhEkHH6/aJO+ffsG4xdxr3uHM981Rgsh0lKLA04//XQrnM15y8svv2z9Hb6nCLj8PvrPAq9F8PXGsrxoQ4m2Il/h89LatWuXaTo/fv369YvTXgkhcgo/nFy1vvXWWy0Hig7MuHHjVKQqiZgwYYIJdldffbV1ohDucKHccccd8d41cQgwDJATTM/1119v93SEyb8kE4xsL3KqyQhr3bq1nYAqozx52hm3EScy4E9CPTiLwvtoIn9+l4UQ+2IP+F1j9BDCHEOl+b9H8UUudPA9euqpp+xQkXU5e/Zsu3Fhy7ttcWF6JyaxUW3atHFt27YNHt4OHTpYBAJuXUQkzCoIwQi2QPYtQiImJdYpt23u6wvcEN/os5BnyrEOhQvRgOhOfwbBD4EX8RXDETEIiLhetGVE4X//+19rKzQKxD6EfOrxEDXDOU/o7+bll1+ur9tBEggELMqAeApcrp07d7ZzjfCLHEQvAgI5Zr8ffvghaAijbVieizBetKUvQ3shuhNZwncXoZbRZDh3L7zwQluO7+nbb7+dp7n+KQEFowghhBBCCCGEEEIE+f77763AVP/+/e35K6+8YuIN0TA47hBxuFCJkw+4UI1bdujQoSbwhrJ48WIzKiAo+YxU3HwIfYhADKHHrecvhnmBdvny5bYNRi2JQ8/rRnz32dxETtC2COYUBeNGmyCy4qYMFcn94z/++MP17NnTjAkI7oi906ZNM7OCHyLvC5GNHDnS7on+Q6jFqc3Qe8wqCIy4MinC3LFjR/vciNgupNSvXz84GgR3LCYgMtcZxUnmbLdu3awN/YUPj29DxFgushCPgHBLsThEVz4fCLBAgWzW5wV1xHUiFvh+0v58jnwbsp4LLrggz+o3SLQVQgghhBBCCCFEgYKRQJdeeqk5IxHawp2sxL8gyvkh84i2jPCkYBGiEcOix48fH3TdMRyeofPEJDDa5J133jGhrkWLFm7QoEEWA8ZjxCQEPwShSEW1vRgkcodnnnnGjR071hyWtBvHnWJTPnYR4RTnLMIcbXvRRRdZwTHan3YI/UzceOON1rZPPPFEpm0QYYHwSvFVPgN8Vvh8ZMeePXvs8yUXddY8/PDDJqxyMQTRG9H1/PPPN5ctIuyzzz5ryxFlwA0ht0mTJtaG4TVx+vTpY23jRXXvwEWwP/PMM93PP/9s0Re4pY888sgs94vvKv8j8jK+RP8JhBBCCCGEEEIIkbQgwiC2hYLbFccsw90Z+h4ePYDYg6DmiwsxBJtoA+/yO++880wQ9DAdxywCDu49clBxyeKkxQGIkPfBBx+Yow+nZrhg6wdBS7A9OBBLn3vuOXNH+zajHTjeiHjkzjLUnQgYhDmiuxgmj2ALjRs3tmxTXyyZ9g/9TOCwXrFihQnAxFa8+eabwUx3YoP4bODcxQ0aLtjStgiI4QPd/QUBxV7sb8OXXnrJ3Mme30Pyo/muNmvWzC6McDyPP/54y9j3cAEGaF/fhqEQaQJEnFAUkP8B3CPoE+fVsGFDy7Gl6CaCbWh7RWpDvqt5nTetTFshhBBCCCGEEEIkLb1793bDhw83Uce77yguxHB1ivAhBjEvktuWZWfMmOHWr19v6/FFwohDuOqqq8wFePLJJ9syTPM5qBT7w2lLfEJoIVa24d20oduScHdw0H60LXEHiKW0DYIb7UJOMO1ArAUwdB4BEMGVtkPcQ3hlaDuiO3m2CPw4LxHbZ86caW2Lixbhl+HzfA42btxonxdfmI4s4tAaO+GfIx6HC4ji4POjP//8c2tDLoaQE+xBiOd7RfvwHaOtvvvuO2tDipRRMJdIBQom0+5EU/Ad9dm2/vsb6TsZrzaU01YIIYQQQgghhBBJCeIbwql3NSK8IBIh7OGWRSDyeaQIsqHCG8vyeoZKk3OJsOOzMsmZ9VmYo0ePNqcmw+q9y5OiVhUqVAiuz0/34o9E2oPDOx39PUJr9+7dTbzFzUyEAVEUgHMS16YX2ygsVbt2bXPN8nkg05QYC9/uxBsgHOK8ROwjQgHRl2n16tWzGA3iFNgWzk+fjxupjUX2beihDRG9cc0SWUExPx9Bccopp5j72bcR4utxxx1nOdGI6TznNaGRE7Qj4u2nn35qmbM46hF3EW8R8CdOnGifC1zTfKcjtWGiIKetEEIIIYQQQggh8hWrV6+2yAKcczjoKFAUKQ8Wlx7D3hHsPIh2uCsRcXBLfvHFFzbsumXLlsFh9QhJgCP33XffNfGIPFQEX4bDsz2EW4Zzh4t0iFIUJwpFsQcHB7EWvXr1MnGOTGHvYvXHnIzTyy67LLg8YiztQtEwIigQ5xkG74tKIdIRi4CLeuDAge7111+3z0a7du1M3GvTpo0txzSGzpNDjLBPZnEokTJv1caZvwMcG5yyiKrEVvB947saXqivQYMGFnUQCt+vDRs2mAMa9y2RBT4/mnb1DlvaFYGXZapUqWIXaJo2bRr8bFDMj3WzPwjt+a0NE2tvhBBCCCGEEEIIIbIAcW3SpEnmhMQRSTRBNBB9EGW9aItzFvGvWrVq7vrrrzfXHcIdzlhcehQooxgVDlpgmD2vWbJkiRU/Ymg2gpJ3CyL4IBaH5l3KaXlw4GglNzYUHJGI6F9++aXNjySqlShRInjsac9zzjknmBlMBAaCHzm0XtSleBXuW+ISyKF94IEHrBAVgi65t4DwS8E4og88oW0st3RkiJfgWPMdwPFKNAhOWdqBCx7jxo2z79Oh5kcvXrzYHhNzwbqJTWA5nNTnnnuuzeNCDN/l0O9kfmvDlEC4L1kIIYQQQgghhBAiQUlNTbUMU1x1CLcIqpMnTz4gS9SDa5Z8Utyy0KpVK1sHbliGWpNVyrB6nLYrV660QmGdO3e2m3f7ibzn2muvNbEOoc27phFVmzdvbu7mwYMHWw5puKPaPyfmgnUQj0CcAdPItSWPlrxTxD0iLRBohwwZEnw9IqMvSCYOjS5duth3qXXr1m7ChAnWJj6PFoEV1+sNN9xwwOtC86PHjBlj3+sqVapYHMn3339vryU2AbcuwjxteckllwRfz/8Dlk825LQVQgghhBBCCCFEQoB4k12uJBXbccoyZJ4bVedxY4YLtj4HE5EWN60HAZfYBDJKEX9wWC5YsMDm7dixw5UtWzY4TN4LtrHslzg4/HEl6sLnACO4MrQd0Q4BEHHdu5/Ds4dZlvtXX33VBF+G2zONNsN5+dBDD5lLl/ZGNOzTp0+m13vBNtSF6eeJnOdH+9xn2hJXPAXFcDXTfsQYhB/fg82P9vB6L9gmWxtKtBVCCCGEEEIIIURc8NECHsSbnORKkluJuEMRI78+jxdxGTqNW++rr76y5whLXtxh+Pv48eMt3xRwaDKEO9x5mdP9EvsgW5biXbiWyTP14ngoHNeff/7ZCnvRNh4KfpFHjGiHAxfR7pNPPjHRHvwwfCA+gcgM2p8h+XXq1HHz58+3ebhs2YcPP/zQhFufVxz6GfFtHPo80YfOHy6IrMDJjou2b9++dqwj4fOjvYBK1vCwYcPcRx995M444wx31113Wa4sUST++IZebPH50Qi9ZNXWr1/fohXA50fjxMUJH5qLm8xtqP84QgghhBBCCCGEOKx4cRXBDqEFcEMyLJpc0f/85z/mes3OLUdBMYpNeYEuVFj16yWLFtEvtJiUF3cQfHkcuo38LvQkChShGjFihJs9e7YbMGCA5Qoj3FIILBzEWgrElSlTJuimRaSjfckeRvBDmGd9fE7g7LPPdu+88449Hjt2rLU9BarINiXHmBgET6TsYZE9HM+7777b2pCLH6eeeqobPny45QJHy48+4ogjgtO4UNK9e3drd1zQuGhZhtgRRHe+64eSH53sSLQVQgiR59x5553BKq90pri6TaXea665xn6UQ+nXr59r1KhRzOtmqBtX1fMrOX2/yXwsEuE4hy+X28eUwgoUWvAnoUIIIURBIDxawA9pp/AXwkzPnj0th5TfSQqLkS2LeMuwdsgqlgCnLZmnFKxCuGV94eCmpd+JIPjpp58eUAgJJNTmPrguEVwpIkV+MG5mjrMvChZKjRo13Pr16y3qgvZGTN+8ebN7+eWXrd3++c9/WmQFoi0uSz5TTZs2tcxaePLJJy3XFNc0IiFuz3Bhz18gUFvHjncpT5s2zXXq1MlyZTn2XlwPBZc6zmrEes97770XjDkA5rFOPhvkSuOu3rhxo80jGoH2D21DCG2vgtaG+4+cEEIIkYeULFnSffzxx/Z427Zt1rGmc/74449bJ6t37942j+EuORG0ENUYinP11Ve7go6OxaET/vnL7WNKJtu8efMyVSIWQgghkh3vePUguOCcRJDr0aOHDX3GbYfgiguTC5xTp061YdT/+Mc/ogo0iK9kXeLQo4AYRY9GjhwZLGrk8QXKiD3AwamYg0OHY+wNGdHAeekzgTnuCHUMd8cZHb4u2uu0005zs2bNsgxi4ineeOONTHEJfEZw2yIAr1271gQ/3LYQmkvr96ugCHt52Yb++K9Zs8ac6s8++6yJt+F9WdoXcdbnR/uif4i8tCPxJIjw5BTz3We9RCNEy4/Obr8KCjoCQgghDs8PTqFCNkSJW/v27e2qOzlViFgMtfFXycmfIlxeiHiQ15+/Y489NtiJFUIIIZIZ73JEpCFLlD4fQ6ERaoFh1gg5F154oQmzZF/++eefJtjitDznnHMsS3P79u1RxRuW42Irw7dxWTJkm4JHkURiL+zh3gufL/I2e5jXIejdeuut9hmgOFik9rnkkktMHPRGD17jXdrccNtygR0oVMXjhg0bZlqXsofzpg35PnMeR6Yw8Qd33HFHMJ/YXxQBzuv4Hvq4EjJwEXsR2MkaJmYB0R2UH509Em2FEELEjRIlSrgJEybY0Jgnnngi4vB0OvMdO3a0K68MhSLX6L777gsuiwuDZXz8AtNg7ty5VlWU4TdcCUYoY2hWOH57DJVr0qSJLctVfl+owsP6OnToYA4Brgi3aNHCTkDCl+FqP+sgAuLSSy81F0AsELrPfnBMmjVrZllP4WS1/mjHAkcCjynu4OHqONNY1sOwRN+Bysn7yW6ZWI9vNHBi08mj7f/yl7+Y65V9nzJlSnCZdu3a2QlfKFwQYDm2m5PjHPr5y+rzldXnMis4UcTlI4QQQiQ7/G7OmTPHBDpEOOKyBg8ebEPkcUuSWYlg5F2XDHXHfUc8AtOrVatmFztx6YEXmxCIfKYlAi9CIGIfw7XDRSmRGNnDvA4XNJ+HIUOGHDDfC4dnnnmmFSyjr7R79277DHlh0d/CozIKSrZpvNuQbGHOFzA3DBo0yJanvw2+nYDvNX1zBHZgOk56BHbONeiDKz86diTaCiGEiCtcHadTjvgXCQRGcq+IUHj77bfdjTfeGOxU8OOPcMbJAK/n5q++E5pPlVLE4DfffNN17drVrvwiwoWDq2Po0KEWqk/BAzqJdGB83hlXhOl8kLvG+l555RXrUOL+8LBtlkG4pOND9ANXmFkuO1avXm3D7/32OQE599xzM4mf2a0/2rFAIKVzxFAz32lj6GHoNOCxH5oU6/uJ9T1nd3yjQQVZilacddZZ7rXXXjPRFvfMwRLLcQ4lq89XVp/LaJDRRVabnORCCCEKCgyVps9BXw/nLDcqytOXQuihH0g/LXT50IvsLP/TTz9lWqcXiLj3fQkv1IaKUiKxsodfffVVE+xxV9KnIi4qHER7+ogI+B988EHEvlW4M1QRCIevDT18p3HQ89pY86O9W1ptlkMCQgghRB4zcuTIQOnSpaPOP/300wMNGjSwx3379g2ceOKJ9njdunVc6g1Mnz496mtDl49GRkZGYO/evYEBAwYEWrZsecDrU1JSAosWLQpO++STT2y7n332mT1v1apVoGHDhoG0tLSo22jTpo0tx7Y833//va377bffznL/2dZHH30UnLZ58+ZA2bJlA7fcckuO1h/tWPDafv362eNvvvkmULRo0cDAgQMDPXr0sGnLli2zfZgzZ06OthfrPmV3fKPRokWLwJlnnplp2u23326vffrpp4PT2rZtG7jgggsyLcf7ZDm2lZPjHH4MIx3TWD6XkXjnnXfsdbxeCCGEKCg0btw48OijjwafP/DAA4FLLrnEHt90002Bs88+OzjvkUceCXTu3DnL9dF/oD/A6+6//37r44m8Y9SoUYFGjRoFRo8ebbfevXsHatasGdi9e7fNnzJlSrCvlJ6eHnEdCxcutP4gff7mzZtb/45+VHjf2vcpd+3aFVi7dm0gNTVVTZsgbTh79uzAQw89FLjooovsvGjs2LERl/NtuHHjRmvDrM6fRPbIaSuEECLuhOYghcLQ8+OOO86GveGQpRpprOCCxN3J67lqz42rykuXLj1gWSIUGLbj8dlYbI+hQwyhJ48pmnODZXDj4gLl6jZB/NxwElSvXj2Y6RQNnKq+iIJ/jrPEOxAOdf04aL2rlnsy5Bi6FDqNIf5Mj3V7OdmnrI5vNFgnEQq4LUKhmMHBkt1xjpWD/VyS+0X+GjlgQgghREGhS5cubtKkSTbiBegv+OHRjM6hgJiHETEUMQoFdx79OvIwGa3iR9+wHCNdQivTi8TKHvbrJt7quuuusyJxRGXQ92TUUrTsYZycREqFFiET8W1DvoO8pk+fPnZudNNNN0XcF+VH5y4SbYUQQsQdRC9ykiL96DM06oQTTrAMNMRAOh2hw/qjQfboCy+8YJ151oGISGefofnhVKhQIdPzYsWK2T3L0kGhM4PwGA2WQWSkA+QFYn+jA/T7779nua90SsMh382f3Bzq+tu2bWuF3jgp8jEIZIbR8Vq2bJlNo7CA7xjHsr2c7FNWxzcaFBPhpK5q1aoHHJeDJbvjHCsH+7lkCNrJJ5+c4/0WQggh8jPkzVKYiOHX9D8Yij1ixIhgHMIPP/yQafnw4dmISAy15vX8lv7rX/+yvg01BkTiZw/7fvmDDz7ozjvvvGD2cCzD8EXitCF5tOTUcqGF756yhA8PuiQlhBAirnDVFzHRF3gKB+cmV4nJQ6Izctttt9mVeV5Dpy8SiIHkodI5DC12cDCdQwRHOjPkkWa1DJ0l9g03STjZOSsRKMOhci6uzNxYP3lTdMwQFSlMhnhdqVIlc7/OnDnTpnPVPCfv51D3KRaBFedMeN4sxyUc3BgUswsFUTmnxzknHMznko5xeME0IYQQItnhIieFXHHJXnnlla5u3bpZjrqKVM2efgwjZMThyR4Gnz2MwOezh6k1EJo97C9GR8se9i5o+ku0IRfkmRapjUX+aENEXJ8pLfIefVOEEELEDcRVRFWG5vTv3z/LZekk4Kq45ZZb3NatW4MiKq7NcMcmQfsItN7RCdu2bXPTp0/P8T4Spo/oOW3atKjViP0yS5YsMcdl+K1mzZpZbmPLli12VTz0+YwZM1yLFi1ytP5Ix8K/ns7a5MmT3YYNG2zIFHA8n3vuOffrr79mKkIWy/YO9T1nB51B9pkhkKH897//PWBZnAE//vhjpiv+OGFzepwjEe2YZve5DIfPJNEcKkImhBCiINKgQQO3cOFCE2z5vQ6/kC4BKP7QNqFREzVq1LCRWoBTk6Kznr/+9a+ZBL6HH37Yog/ARx5Q9OqOO+6wKIvx48cHBVuRv9tQhf4OL/rGCCGEOCzQOSf/CMhLouNOxiwdiSlTpkQU+cgAveGGG1yPHj1cnTp1TGS79957bVmee/fGU089ZVEIdFRweDK/efPmNoTHOzZ5jEMj3LkZC7yWLFSuQJO1VrFiRRtqxLZwrcL9999vy7CvDANkGWIfyJW6/PLLXbt27aKuH9fr3//+dzdq1ChzsLI9TmjI/vLEsv5oxwIQZVkHQihuFz/tkUceMeExvPprLNs7lPccCwydZAgW62L9ZNyGVpQOzbl98skn7QIArl+cr5HE3ViOcziRjinibHafy0iOcjq6Em2FEEIURPiN9hc2EWgl0iZu9jB9L0YhhWcP+6HzQH+YW3hfnz4RfSQybNu3b2+vGz58uKIs1IbiYImhWJkQQghxSIwcOZIeX/BWpkwZq2A6ePDgwJIlSzIt27dv32D10jVr1lh109q1aweKFy8eqFq1aqBr166BpUuXBpffsmWLVSCuXLmyrZvXw7Jly6yqcKlSpQLVq1e36sLsR+nSpaNuz7Np0yZb19NPP52pYupZZ51l6ytbtqxVv50xY0am182fPz/QsWPHQPny5QMlS5YM1K1bNzBo0KDA77//HvXY+O2/9dZbgRNOOCFQrFixQJMmTWx74WS3/mjHAlg/06677rrgtNWrV9u0li1bRty3WN5PdsvEenyj8dhjj1n7lShRItC2bdvAvHnzIr72vvvus+Vo327dulnbsNwnn3ySo+Mcvr+Rjmksn8twnnrqKdumqiALIYQQIhFZvHhxICUlJTB8+PBA69atA40bNw4sWLAg6vLp6ekHTKOfs3nz5kBGRkYe762IhNow+Ujhz0ErvkIIIYQQh5HNmzebo/fpp5+OmoMshBBCCCFyDiORJk6caNFR2WUPi8REbZhcKNNWCCGEEEIIIYQQooCj7OH8j9owuZBoK4QQQgghhBBCCFHAIXuY/H7AUVuokCSj/IbaMLlQPIIQQgghhBBCCCGEEEIkELpsIoQQQgghhBBCCCGEEAmERFshhBBCCCGEEEIIIYRIICTaCiGEEEIIIYQQQgghRAIh0VYIIYQQQgghhBBCCCESCIm2QgghhBBCCCGEEEIIkUBItBVCCCGEEEIIIYQQQogEQqKtEEIIIYQQQgghhBBCJBASbYUQQgghhBBCCCGEECKBkGgrhBBCCCGEEEIIIYQQCYREWyGEEEIIIYQQQgghhEggJNoKIYQQQgghhBBCCCGESxz+D6rNkQeeCq0tAAAAAElFTkSuQmCC", "text/plain": [ - "\"Output" + "
" ] }, "metadata": {}, @@ -585,12 +724,14 @@ "metadata": {}, "source": [ "### Steps 1-4 compressed into a single code block\n", - "Here the full workflow is put together at a larger scale. When using `SabreSwap` as the `routing_pass` for `SabreLayout`, only one layout trial is performed per call, so the following code cell loops over seeds to explore the layout space." + "Here the full workflow is put together at a larger scale. When using `SabreSwap` as the `routing_pass` for `SabreLayout`, only one layout trial is performed per call, so the following code cell loops over seeds to explore the layout space.\n", + "\n", + "We use the same `wrap_sabre` helper defined in the small-scale Step 2 (above), and add an analogous `wrap_routing` helper because the `routing` stage at index [1] is also a `ConditionalController([BarrierBeforeFinalMeasurements, routing_pass], ...)` — replacing it bare would similarly drop the protective barrier and the `_swap_condition` gating." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "id": "4feb0fcf-d305-4741-82a7-b0fe0f0894fc", "metadata": {}, "outputs": [], @@ -616,7 +757,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "id": "43ec98c6-f4c6-4584-8ba0-edfb4e99f04a", "metadata": {}, "outputs": [ @@ -625,17 +766,17 @@ "output_type": "stream", "text": [ "basic:\n", - " 2Q depth \u2014 min: 524, mean: 570.5, std: 39.9\n", - " size \u2014 min: 3821, mean: 4230.0, std: 358.1\n", + " 2Q depth: min: 524, mean: 570.5, std: 39.9\n", + " size : min: 3821, mean: 4223.9, std: 360.2\n", " best seed: 51 (2Q depth=524, size=3853)\n", "decay:\n", - " 2Q depth \u2014 min: 387, mean: 436.4, std: 41.7\n", - " size \u2014 min: 2704, mean: 3186.4, std: 457.2\n", + " 2Q depth: min: 387, mean: 436.4, std: 41.7\n", + " size : min: 2708, mean: 3184.6, std: 456.7\n", " best seed: 45 (2Q depth=387, size=2786)\n", "lookahead:\n", - " 2Q depth \u2014 min: 364, mean: 424.6, std: 36.5\n", - " size \u2014 min: 2335, mean: 3017.2, std: 388.3\n", - " best seed: 51 (2Q depth=364, size=2485)\n" + " 2Q depth: min: 364, mean: 424.6, std: 36.5\n", + " size : min: 2355, mean: 3015.1, std: 384.5\n", + " best seed: 51 (2Q depth=364, size=2484)\n" ] } ], @@ -646,6 +787,26 @@ "seed_list = [seed + i for i in range(num_seeds)]\n", "swap_trials = 200\n", "\n", + "\n", + "# The default routing[1] is a ConditionalController([barrier, routing_pass],\n", + "# condition=_swap_condition); we re-wrap so the new routing pass keeps the\n", + "# protective barrier and is skipped when routing isn't needed (matches the preset).\n", + "def _swap_condition(property_set):\n", + " return not property_set[\"routing_not_needed\"]\n", + "\n", + "\n", + "def wrap_routing(routing_pass):\n", + " return ConditionalController(\n", + " [\n", + " BarrierBeforeFinalMeasurements(\n", + " \"qiskit.transpiler.internal.routing.protection.barrier\"\n", + " ),\n", + " routing_pass,\n", + " ],\n", + " condition=_swap_condition,\n", + " )\n", + "\n", + "\n", "heuristic_results = {}\n", "\n", "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", @@ -658,8 +819,10 @@ " pm = generate_preset_pass_manager(\n", " optimization_level=3, backend=backend, seed_transpiler=s\n", " )\n", - " pm.layout.replace(index=2, passes=sl)\n", - " pm.routing.replace(index=1, passes=sr)\n", + " # Re-wrap each custom pass in its original ConditionalController + barrier\n", + " # (wrap_sabre is defined in the small-scale Step 2 cell above).\n", + " pm.layout.replace(index=2, passes=wrap_sabre(sl))\n", + " pm.routing.replace(index=1, passes=wrap_routing(sr))\n", "\n", " t0 = time.time()\n", " tqc = pm.run(qc)\n", @@ -694,14 +857,15 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "id": "eead9bd2-17e0-4f5b-80bc-eb9b30af052e", "metadata": {}, "outputs": [ { "data": { + "image/png": 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"text/plain": [ - "\"Output" + "
" ] }, "metadata": {}, @@ -713,7 +877,7 @@ "text": [ "basic: best 2Q depth=524, size=3853 (seed=51)\n", "decay: best 2Q depth=387, size=2786 (seed=45)\n", - "lookahead: best 2Q depth=364, size=2485 (seed=51)\n" + "lookahead: best 2Q depth=364, size=2484 (seed=51)\n" ] } ], @@ -782,7 +946,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "5ad47245-41d0-4d90-ba94-dda4cd63705d", "metadata": {}, "outputs": [ @@ -792,10 +956,10 @@ "text": [ "Best basic: 2Q depth=524, size=3853\n", "Best decay: 2Q depth=387, size=2786\n", - "Best lookahead: 2Q depth=364, size=2485\n", - "basic job: d7c23795a5qc73do4s0g\n", - "decay job: d7c237j0g7hs73dq7rjg\n", - "lookahead job: d7c237p5a5qc73do4s1g\n", + "Best lookahead: 2Q depth=364, size=2484\n", + "basic job: d81nt200bvlc73d1c28g\n", + "decay job: d81nt2ftjchs73bn5eg0\n", + "lookahead job: d81nt2ntjchs73bn5ehg\n", "basic job done\n", "decay job done\n", "lookahead job done\n" @@ -837,14 +1001,15 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "id": "0280b0b9-6320-43e5-8396-f82f9e718319", "metadata": {}, "outputs": [ { "data": { + "image/png": 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", "text/plain": [ - "\"Output" + "
" ] }, "metadata": {}, @@ -856,9 +1021,9 @@ "text": [ "\n", "Mean fidelity:\n", - " basic: 0.0247\n", - " decay: 0.3731\n", - " lookahead: 0.2837\n" + " basic: 0.0277\n", + " decay: 0.0117\n", + " lookahead: 0.0108\n" ] } ], @@ -944,7 +1109,7 @@ "**Key takeaways:**\n", "- The `decay` and `lookahead` heuristics are substantially better than `basic` for non-trivial circuits. It is generally helpful to prefer one of the two for production workloads.\n", "- The best heuristic depends on your circuit and hardware. Testing multiple heuristics with multiple seeds is the most reliable strategy.\n", - "- For even broader exploration of the layout space, consider parallelizing seed trials with [Qiskit Serverless](https://quantum.cloud.ibm.com/docs/en/guides/serverless)." + "- If you want to explore even more layouts, increase `swap_trials` (and `layout_trials` when you are not pinning a custom routing pass) rather than fanning the work out to remote nodes — the SABRE passes already parallelize trials across local threads, and the per-trial work is small enough that distribution overhead typically dominates any speedup." ] }, { @@ -956,6 +1121,8 @@ "If you found this work interesting, you might be interested in the following material:\n", "\n", "- [SabreLayout API reference](https://quantum.cloud.ibm.com/docs/en/api/qiskit/qiskit.transpiler.passes.SabreLayout): full parameter documentation\n", + "- [SABRE paper](https://arxiv.org/abs/1809.02573): the original SABRE algorithm for layout and routing\n", + "- [LightSABRE paper](https://arxiv.org/abs/2409.08368): the algorithmic improvements that power Qiskit's current SABRE implementation\n", "- [Write a custom transpiler pass](https://quantum.cloud.ibm.com/docs/en/guides/custom-transpiler-pass): build your own transpilation logic\n", "- [Transpiler plugins](https://quantum.cloud.ibm.com/docs/en/guides/transpiler-plugins): extend Qiskit's transpilation pipeline with third-party passes\n", "- [DAG representation](https://quantum.cloud.ibm.com/docs/en/guides/DAG-representation): understand the directed acyclic graph used internally by the transpiler\n", From 9a13f1f82a0b307a09762c4edad22e71fd514a5b Mon Sep 17 00:00:00 2001 From: Henry Zou Date: Tue, 12 May 2026 16:09:37 -0400 Subject: [PATCH 17/30] tox -e fix --- ...anspilation-optimizations-with-sabre.ipynb | 31 +++++++----------- ...280b0b9-6320-43e5-8396-f82f9e718319-0.avif | Bin 26319 -> 18893 bytes ...9075a21-8f36-4fd9-9d0d-bd0e97395b60-0.avif | Bin 0 -> 29590 bytes ...6dac5ed-a963-458a-ada1-89c915f036e0-0.avif | Bin 16693 -> 17257 bytes ...40fe1e0-41cd-4e8b-acb9-801872d35f1f-0.avif | Bin 0 -> 29590 bytes ...f75c45a-2c3e-4ef6-8336-0b3f69e6e8fb-0.avif | Bin 15983 -> 15664 bytes ...ead9bd2-17e0-4f5b-80bc-eb9b30af052e-0.avif | Bin 15367 -> 15234 bytes 7 files changed, 12 insertions(+), 19 deletions(-) create mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/79075a21-8f36-4fd9-9d0d-bd0e97395b60-0.avif create mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/b40fe1e0-41cd-4e8b-acb9-801872d35f1f-0.avif diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 3fb51b724f9..0dcf7d3e371 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -85,7 +85,6 @@ "from qiskit_ibm_runtime import EstimatorOptions\n", "from qiskit_ibm_runtime import EstimatorV2 as Estimator\n", "from qiskit_aer.primitives import EstimatorV2 as AerEstimator\n", - "from qiskit.transpiler import CouplingMap\n", "from qiskit.transpiler.passes import (\n", " SabreLayout,\n", " SabreSwap,\n", @@ -100,12 +99,12 @@ "\n", "seed = 42\n", "\n", - "#service = QiskitRuntimeService(\n", + "# service = QiskitRuntimeService(\n", "# channel=\"ibm_cloud\",\n", "# token=\"\", # Replace with your actual API token\n", "# instance=\"\", # Replace with your instance name if needed\n", - "#)\n", - "#backend = service.least_busy(operational=True, simulator=False)\n", + "# )\n", + "# backend = service.least_busy(operational=True, simulator=False)\n", "service = QiskitRuntimeService()\n", "backend = service.backend(\"ibm_fez\")\n", "\n", @@ -203,9 +202,8 @@ "outputs": [ { "data": { - "image/png": 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", "text/plain": [ - "" + "\"Output" ] }, "execution_count": 3, @@ -246,9 +244,8 @@ "outputs": [ { "data": { - "image/png": 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", "text/plain": [ - "" + "\"Output" ] }, "execution_count": 4, @@ -320,7 +317,7 @@ "id": "378a5829-b18b-4359-827f-b052c7cc1b89", "metadata": {}, "source": [ - "Position **[2]** is now a `ConditionalController` again — identical in shape to the default, but the inner `SabreLayout` is our custom one (with `layout_trials=200`, `swap_trials=200`, and `max_iterations=8` for `pm_3`; `pm_2` is identical apart from `max_iterations=4`). The protective barrier and the `_vf2_match_not_found` gating are preserved, so the only difference from `pm_1` is the SABRE configuration itself.\n", + "Position **[2]** is now a `ConditionalController` again — identical in shape to the default, but the inner `SabreLayout` is our custom one (with `layout_trials=200`, `swap_trials=200`, and `max_iterations=8` for `pm_3`; `pm_2` is identical apart from `max_iterations=4`). The protective barrier and the `_vf2_match_not_found` gating are preserved, so the only difference from `pm_1` is the SABRE configuration itself.\n", "\n", "**Step 2c: Run each pass manager and compare.**" ] @@ -395,9 +392,8 @@ "outputs": [ { "data": { - "image/png": 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Ol/phUVI1NNzVvi05QbanJEiT8BJSLsS2P5LiZW9qkrSKKCnFg9PCln8nxslRR4pcHFlaQm0B7cUJJyTB6TDLbDfvdKxEBgVL28i0WbML+jrpvrTvJysoV79+ffP51Rm7LeHh4WaorH7e7Sd9dAKY6tWrm+wozZyyWN8RwacrS3Bi2us6Ig+Jo9hhCT5VTYKT07ZZatQ+cUbESsjJ2hKUmvY5Sy2xU5xhpyTk+DkS5Exb15RS20SCkyU09ly3dUqJ3ijiCJPQE3Vcbc6gVEmN3iRBKcUlJK5GWntIoqSW2iZBSdESEh+TtoxhceIosUuCE8pJcEJawMERESuOqH0Ffp3sn9fsfpf/+++/bssIoHDSk/9//vmnSQz48ccfzfeE/ta8++675ZFHHsmV19DfF1q+Syci05IHBw8elKioKGnVqpVJ4LMHY3USXi0NtmbNGnPM0cfqaDNdlsxKigEFUZDTfuo0QGgGkJ5N6dWrlzkz88UXX5jrVv2Uhg0bmiyitm3b+vV8miGkP0j0C0ZT63OiY8f0nVjkr7lzh+X5azSaOD7PXwNZt7b/QDYbsiU3jwtni2Y26XCw7t27Z3g/PW7qbLr33nuvTJw40fzYPXbsmOt2DdBotoKeDL3++uv9zrS1gjLW9spudlanTs8X6KzUwphp+/PPz+R5pm2LyW8W+KzUwphpu6rfI3meaTt15R0FOiu1MGba9moyIe0psvldrjUuy5QpU6COo/mpIP7uABAYpq7qm9+LAA+9m02Ws3VcyPdMWzvtCGgnUs/mtmvXzhSVTk5Ods0aaBWerlGjRoZBW4Z1Fq3OJsM6i25n82wM68zOcMHcDHSwTnm3nwojzYrTmraaNaX0WKodaz2enn/++abtt99+M+uvtcN80QwGvXjSz5ZevL1nPflq1+9vb6xjRl6061sgK+1n3h7e2p2Fcp0892lG+8/bff1pt38D6lK4fyNm3O7r0+qrPTUP27O67IG+TtZvK2/7T2/LSruv94wJFHp572W9PatbzUt7UFbbc2vZA2udsrL/stoOAAByT0AEbf/55x/TsdT6tZrerplE5513nqxcudIMxdIhOHZazzajWnwM62RYJ8M6GdaZW8M6v1nytPchkHHVvQ+BPFHH+xDI2Po5HwKZ7GMIZKKPIZCny3sf1hkfU6DXqUn03UVmWGdcXJxs2bLF9bcOYdZjo45I0YuWMOjZs6dZLx22/sQTT8g555zjGkamI1O07q0OYXvvvffMiVAtM6RlFapUqZKPawYAAAAACPjyCFozTQtba4f766+/NjMFanFp7Zj269fPbYim0mLXHTt2lFdffdXr8zGss2hl2jKss+hm2jKsk2GdhX1Yp9am1eOdp759+5pJPLVUgtaA1/XRIKzOovvCCy+4TdapJyQ0UKt1wnT9Ncj7xhtvuGrT+oMyQ4UbZYaKrrNRZohhnUV7WCfYXgByhuNo4Cly5RE0A04zg5QO39SZA19//XUzq6AGdLUzas+21YwqzSryhWGduhUY1ukNwzoZ1smwToZ1FqRhnR06dHALOnv66aefMn0OzcjV2vAAABQFb7/9tpkfRUdWNWvWzExw5GuG+7Vr18rQoUNNGSEdhTNu3DgZOND9ZMbw4cPTTc6pEx/pXCsAAOSlgOy1amaUZstqADcsLEzmzJnjum3jxo0mK1fLKQAAAAAAoKZOnSqDBw+WYcOGyYoVK0zQVksG6Wz03sTHx5vyWa+88kqGSUGNGjWSffv2uS4LFy5kgwMA8ly+Z9o+9dRT0rVrVzO52MmTJ002kA4H1ewhTRW+8847zYFXM4U0Zfihhx4yAVtfk5ABAAAAAIqesWPHmjruWmJPaT33WbNmycSJE2XIkCHp7t+qVStzUd5ut4SGhmYY1AUAoFAGbfWs5+23327OWGqQtmnTpiZg27lzZ3O7DlGxavBp9q2eKX3nnXfye7EBAAAAAAFCy+ppmQNNCrJoP/Lyyy+XRYsW5ei5N2/ebGrHR0ZGmgQinfhak4588TbHikpNTTWXnNTl99VuPa+9Xen9/WnXMnJn5hNxpFsWX+3+LjvrxH7ivZf9z5M4g9LPHBPk9NLuOPOnz3bPgfbWMvjZHuT4rwqnvb1ozrGSavu+zcn3XoEI2k6YMCHD2/XAqHWJ9AIAAAAAgKfDhw+bjrR9Mk6lf+ek/mybNm3k448/NnVsNdFI69tecsklsmbNGilZsqTXx2hQ17MOrtq6datrIlBNWIqJiTHztehENJby5cuby549e+TUqVOuds301XleduzYYQLUlmrVqpnn1Oe2BwFq165tMoQ14GxXr149SUlJke3bt7sFEerXr29eb/fu3W5zz2j5CF0+rRFsKV68uFSvXt1Mdqrb3cI6sZ947+X+5yn4dGUJTkyb48kReUgcxQ5L8KlqEpycNrFwatQ+cUbESsjJ2hKUGpHWXmKnOMNOScjxcyTImTa1d0qpbSLByRIae67bd0RK9EYRR5iEnqjjanMGpUpq9CYJSikuIXFpJ6ycIYmSWmqbBCVFS0h8TNoyhsWJo8QuCU4oJ8EJFdLaI2LFEbWvwK/TZtv3ana/97SOuj+CnBnNcFJIMOt14cas10UXs14XTcx6ffZxHC3cOI4WXRxHi6bCehzdu3evVK1aVf7880+3+U+eeOIJmT9/vixZsiTDx9eqVctMQuY5EZknnSS7Zs2aphSDlvLzN9PWCspY24usVLKHFRnRZHln9l0wdeUdBTortTBm2vZqkpZ8mt3vcj2WlClTJtPjaL5n2gIAAAAAkBOa0aRD/DXbyU7/zs16tJohpVl0W7Zs8XmfiIgIc/Gky6cXb0E7T1lt93ze7LRrICEr7bm17KwT+4n3nu/PgQkUnokg5rDd13D8LLQHZbU9t5bdGVDrlJffh54I2gIAAAAACjQdenz++efLnDlzpHv37qZNM5z07wEDBuTa68TFxZlSBLfddluuPSeQmUYTx7ORiuiIFRRtBG0BAAAAAAXe4MGDpW/fvnLBBRdI69atZfz48aaWYL9+/cztOgG2llDQmrNKa8OuW7fOdV1rD65cudLUiD3nnHNM+2OPPSbdunUzJRG0BMOwYcNMltXNN9+cj2sKACgKCNoCAAAAAAq83r17y6FDh2To0KFmop/mzZvL7NmzXZOT7dy5021IqgZhW7Ro4fp79OjR5tK+fXuZN2+eadOJhDRAe+TIEalQoYJcfPHFsnjxYnMdAIC8RNAWAAAAAFAoaCkEX+UQrECsffKxzOblnjJlSq4uHwAA/vKv8i0AAAAAAAAA4KwgaAsAAAAAAAAAAYSgLQAAueT555839fG82bdvn7kdAAAAAIDMELQFACCXjBgxwkxY4o0Gc/V2AAAAAAAyQ9AWAIBcopOZBAUF+cy0jY6OZlsDAAAAADIVmvldAACAL19++aW5KA3YPvroo+mCswkJCbJs2TK56KKL2JAAAAAAgEwRtAUAIAeSkpLk5MmTrkzbU6dOSUhIiNt9wsPD5fbbb5cnnniCbQ0AAAAAyBRBWwAAcqBv377mojp27CjvvvuuNGjQgG0KAAAAAMg2grYAAOSSuXPnsi0BAAAAADlG0BYAgFy0ceNG+eabb2T37t2mlq2d1rydMGEC2xsAAAAAkLtBW4fDIR999JF8/fXXPjukW7duzerTAgBQ4H366afSr18/iYyMlJo1a5patp7HSAAAAAAAcj1o++STT8qYMWOkffv2pnafZ4cUAICi6oUXXpBevXrJxIkTJSoqKr8XBwAAAABQVIK2n3/+uYwYMUKee+65vFkiAAAKqL1795qJyAjYAgAAAAByIjirD9ByCBdeeGGOXhQAgMLo0ksvlTVr1uT3YgAAAAAAilqmbZ8+fWTmzJnSqVOnvFkiAAAKqJdeekluvfVWU9O2c+fOEh0dne4+ZcuWzZdlAwAAAAAUsqDtt99+67rerl07eeaZZ+TAgQM+O6Q9evTI3aUEAKAAaNmypfn//vvv9znpWGpq6lleKgAAAABAoQza6qQqnv7991+ZOnVqunbtpNIhBQAURToBma9gLQAAcPfPP//IL7/8IkuWLJF9+/bJ6dOnpVy5cnLuueeakkNXXnmlFC9enM0GACiS/Arabt++Pe+XBACAAu6OO+7I70UAACCgOZ1O+eSTT+SNN96Qv//+W8qUKSNNmzaVSpUqSUREhMTGxsqcOXPk7bffNhN73njjjfLss89KrVq18nvRAQAIvKBtzZo1Xdd37twpMTExEhYWlu5+KSkpZuZsAAAAAAA8NWrUSJKSkqRv377y+eefS4MGDbxupPj4eJk9e7ZMmTJFGjduLB988IHccsstbFAAQJERnNUH1K5d25wR9WbVqlXmdgAAiiI9BtapUyfDS1YsWLBAunXrJlWqVDFlF2bMmOG6LTk5WZ588klp0qSJGTqq97n99tvTnTzVzCR9rP3yyiuv5No6AwCQFZo1u2nTJnnuued8BmyVZtnqXClfffWVrFmzxi2RCACAosCvTFvP4Sy+JCYmmiEtAAAURdddd126mrbHjh2T+fPnm+NnVifqPHXqlDRr1kz69++f7rGagbRixQrT6dX76Os88sgjcu2118qyZcvc7vv888/L3Xff7fq7ZMmS2Vo/AAByKjvZsnoCkvIIAICixq+g7YYNG2TdunWuv+fNmye7d+92u09CQoJ8+eWXWc4iAgCgsBg/frzXdh0G2r179yyPRunatau5eFO6dGkzeYvdW2+9Ja1btzaljGrUqOEWpK1cuXKWXhsAgPzwxx9/yPr16+WSSy4xE5IBAFBU+RW0nTp1qowYMcJc1wyiIUOGeL1fdHS0fPzxx7m7hAAAFHDh4eEyYMAAue++++Shhx7Ks9c5fvy4OU7r8dhOyyG88MILJpCrGU6DBg2S0NAsD7YBACBX6TFJR2pOmjTJ/P3ee+/JAw88YK5r+/fffy+dOnViqwMAiiS/emwDBw40M2Lr0E7NpP3222+lRYsW6TqkmsXjOSwUAACIHD58WE6ePJlnm0JHvGiN25tvvllKlSrlan/44YelZcuWUrZsWfnzzz/lqaeekn379snYsWMzLHekF8uJEyfM/6mpqeai9HgfHBwsDofDrXSSr3ZtO3Ob1tVNe63U1DP3CQlx//2QG+368g6H07yevm7m7U5xOLTtzHpY9L76GM9l99Ve0NbJ2qf2/eRr/9nva7WfeT5Hhu0h1jrpe8TLpAoZtWubfcvoUjkyaLdey7Wu/92W0/bsLHugr5O1jz33X0hIyH/vHUe6z7avdl/fBeIMSr9WQU4v7Y4zf/ps99yS1jL42R7kOLMR3NqtZfHV7u+yF6x1sn+Os/td7vmeya6FCxfK6NGjXX+//PLLctddd5lj1P33328ShwjaAgCKKr+CtjoEUy9q+/btEhMTY4K0AAAgjZ7U9FYaQYd5aumCyy67LE82l05KduONN5qO9bvvvut22+DBg13XmzZtao7f9957r+kY+6pDr7dZI2zstm7dKiVKlDDX9XeB/h44cOCAyfC1lC9f3lz27NljavJa9MSuZgA3blxOoqLSfn6sX39Ujh9PkpYtK0hISFqAYdWqw5KUlCqtWlVyW4alSw9IeHiINGtW3tWWmuqQpUsPSunS4dKwYVlXe3x8iqxefVjKly8mdeue+R2jYmMTZcOGY1K1agmpVu3M+qiDB+Nl27YTUqtWKalYMcrVvnt3nLnUrx8t0dFp22zr1uNy6NDpAr9OmzdvTrefduzYYd67lmrVqpl9r+8Be7BGS35o1rb9OVS9evUkJSXF/G5UHYpFS4rTKfMTjkuZ4FBpEZG2jKccqbI48aTEhIRLw/C0ZTySmiIrk+KkZmik1AmLdLXvSUmSDcnxUj8sSqqGpv0e3ZacINtTEqRJeAkpF2LbH0nxsjc1SVpFlJTiwWlhy78T4+SoI0UujiwtobaA9uKEE5LgdJhltpt3OlYig4KlbWTaSZGCvk66L+37yQrK1a9f33x+7eXQ9LtDkzf0875//35Xu06EWL16dTl69Kg5OWWxviOCT1eW4MS013VEHhJHscMSfKqaBCenbbPUqH3ijIiVkJO1JSg17XOWWmKnOMNOScjxcyTImbauKaW2iQQnS2is+/D5lOiNIo4wCT2RVrLNGZQqqdGbJCiluITEpZWOcYYkSmqpbRKUFC0h8TFpyxgWJ44SuyQ4oZwEJ1RIa4+IFUfUvgK/TvbPa3a/y//991/JDYcOHTKvr9auXSu7du0y9dn1+6Zv375yww035MrrAABQEAU5M5pZLANaR2/JkiUmW0cPtG3atJHOnTtLINIMIf1Boj9E7NlH2dGxY/pOLPLX3LnD8vw1Gk30XqcS+Wtt/4F5/hpTV/XN89dA1vRuNjmgjgvesgs9hYWFmYnE3nzzTdMJzg7NbJo+fbqpjestYLtt2zb57bffpFy5chk+j3aKGzdubOrV+6oV6C3T1grKWNsru9lZnTo9X6CzUgtjpu3PPz+T55m2LSa/WeCzUgtjpu2qfo/keabt1JV3FOis1MKYaduryYS0p8jmd3lsbKyUKVMmx8dRPSGkJXxuvfVWGTNmjMmw1UCx+umnn8zxzR5MLqjy6ncHig76o4GJ/mjR1Pss9kezXNBOz6z37NlTFi1aZIZaVqxYUQ4ePGg6cm3btjVZRkx2AgAoiuzZapbIyEhzrMyL8kFWwFazpubOnZtpwFatXLnSdLp1mXzRDFxvWbgayNGLP4FqX+0aLPTGClDmRbvGG7LSfiYe5a3dWSjXyXOfZrT/vN3Xn3Z7qFeXwj30m3G7r0HYvtpT87A9q8se6OtkfS952396W1bafb1nTKDQy3sv6+1Z3Wpe2oOy2p5byx5Y65SV/ZfV9qzSyTa1tM+qVavM3Ci33Xab67Y1a9ZkeQJPAAAKkywHbXUSFc3mmTNnjnTs2NHVrtk9eoZUaw9pJhAAAEVNzZo1c/X54uLiZMuWLW5BYQ266klTHeXSq1cvWbFihZmoRTMgrSHLersOZdYTrDoqRo/XJUuWNH/rJGR6vNYMKQAA8pPWs9Xj1+zZs+Wqq65yK82jfcorr7wyX5cPAIACFbTVsgg6q6c9YKu0Tp8ObdGgLQAARZXW/tNsIZ1cRUehaAD1kksuMbX5tPZjVixbtszteGvVp9XnGj58uPzvf/8zfzdv3tztcZp126FDB5MtO2XKFHNfLXegGUsatLXXuQUAIL/o0NCJEyd6vU2PowAAFGVZDtpqZo6v7Bxt18L0AAAURTqBigZLdRKnZs2aSaVKlWTjxo0ybdo0U6dPg6laG9Zf+lwZlZ7PrCx9y5YtZfHixVlaBwAAAABA/styMaKBAweajFodsml38uRJefXVV81snwAAFEVWBuu6detM2YIff/zR/K+Tf2kdyEcffTS/FxEAgHylE1jPmDEj3QR4GZ0Qfeyxx8zJTwAAipIsZ9r++++/JoNIZ/rUIZvWRGSaPaT18nbv3i0PP/ywua92UF9//fW8WG4AAAKOlhB6//335dxzz3Vr179feOEFUxceAICi7Pbbb5cHHnhA7rnnHrnuuuvkoosukqZNm0qFChVMWZ/Y2FhTw3358uXm5KeOGLn22mspwwcAKHKyHLTVyU7CwsJMKQSdDMVilUyYOXOmq42gLQCgKElJSZFixYp5vU3bdbIVAACKsgcffFD69+9vaq5/8skn5qLHT8/yP9aEm++88440adIk35YXAIACE7TVs54AACA9zRYaOXKktG/f3kyuYjl+/Li8+OKL5nYAAIo6PZHZr18/c0lISDDJQPv27TPXdQJPHaFSq1at/F5MAAAKVtAWAAB4N2bMGLn00kvNZGOXXXaZmYhMSwjNmTPHjFLxNUM2AABFVWRkpLRt2za/FwMAgII/EZk6fPiwDBkyRDp16iT169c3E6worV/LLNUAgKKqcePGsnr1arnrrrtk79698ttvv5n/7777blm1apW5HQAAAACAXM+01VmwNVirwz51+Oe8efMkMTHR3LZnzx4ZN26cTJ06NatPCwBAoaATdTLDNQAAAADgrGbaDho0SNq1ayebN2+WCRMmmCLxljZt2pBpCwAoUvTE5Ztvvpnh8U9v0/skJSWd1WUDAAAAABSRTNulS5fKt99+a2rzec6CXaFCBVO7DwCAokJntX711Vdlw4YNPu/TsGFD6dGjh7n+0EMPncWlAwAAAAAUiUzb4sWLy4kTJ7zetnPnTilXrlxuLBcAAAXClClTTCA2Ojra5320pNCAAQPk888/P6vLBgAAAAAoIkHbK664QkaOHClHjhxxtQUFBcnp06fNRGRXXXVVbi8jAAABSyfj1LJBmdGZsa2JOwEAQJrZs2fLCy+8IPfcc49JBFILFiwwk3kCAFBUZbk8gg4Bveiii6RevXrSsWNHE7B99tlnZd26dea6BnQBACgq7LXdM+NwOPJ0WQAAKEgOHTok3bt3N7Xfq1evLrt27ZL77rtPatSoIRMnTjSjPN9+++38XkwAAApGpm3VqlVl5cqVZijovn37pG7duibrtk+fPrJs2TKpWLFi3iwpAAABqE6dOvLHH39kej+9j94XAACcMXDgQBO4XbNmjWzZssXtROjll18uc+bMYVMBAIqsLGfaKq3bN2LECHMBAKAo69Wrl4wbN878rxOOebN+/XoZP3686ZwCAIAzZs2aJR9++KE5fnpOcq2Zt7t372ZTAQCKrCwHbU+dOiUrVqyQ/fv3m3IIMTEx0rJlSylWrFjeLCEAAAHssccek6+//lpat24t999/v6n9rsM69Ripdfl++ukneffdd6VWrVoyePDg/F5cAAACRkpKiimB4M2xY8ckPDz8rC8TAAAFLmirwVrtbH7yySeSlJTkGrqindKIiAjp16+fvPbaaxIVFZWXywsAQEDRzua8efNMwHbMmDHm4kmzcN955x2fHVMAAIqiNm3amNq13iaznjJliplLBQCAoirU3zOgWlNo6dKl0rNnT+nSpYsZrqKBWx2yorN9vv/++7J69WqZP3++BAdnuVQuAAAFVrly5eSrr74ymbW///677Nmzx1UH/tJLLzXHTAAA4E4nsdbJrfVYqSc4NSFoxowZ8vLLL5vSCQsXLmSTAQCKLL+Ctppdu3z5cvnhhx9MwNbTnXfeaQK31157rXz66afSt2/fvFhWAAACmpZF0Ik5AQBA5tq1aydz586VIUOGyKOPPmqSgl588UXTrpOQaRk+AACKKr+CttOmTZPbb7/da8DWcuWVV5r7TJ06laAtAAAAACBTGqDV0ZqnT582dWx10mtK7gEAIOJXHQMte6BB2czofVatWsV2BQAAAAD4TSe2rlKlCgFbAACykml75MgRcwDNTExMjLkvAAAAAACZWbx4sRnZuWvXLklISHC7TWvcfvfdd2xEAECR5FfQNikpSUJDM7+r3ic5OTk3lgsAAAAAUIi9/vrrMmjQIKlYsaLUrVtXwsPD83uRAAAoWEFb9eWXX2Y6e6fOmg0AAAAAQGZGjx4tAwYMkPHjx0twsF+V+wAAKDJCs3IW1B86hAUAgKLq8OHDphO6dOlSM9Rz+vTp0qhRI3McbdOmjbRt2za/FxEAgIBw6tQpue666wjYAgDghV+nMx0Oh9+X1NRUf54SAIBCZ8WKFVKvXj2ZMmWKVKtWTbZu3SqJiYnmtj179si4cePyexEBAAgYvXv3lh9//DG/FwMAgIDkd6YtAADImNbla9eunZk0RUeefPrpp67bNMt26tSpbEIAAP6jZRHuuusuueWWW+Tyyy+X6OjodNumR48ebC8AQJFE0BYAgFyiJRG+/fZbCQsLSzfypEKFCnLw4EG2NQAA/9mwYYP88ccfsmPHDjNKxZOeAGUkJwCgqCJoCwBALilevLicOHHC52Sd5cqVY1sDAPCf/v37S4kSJWTmzJlSv359CQ8PZ9sAAPAfgrYAAOSSK664QkaOHCmdOnVyDfHULKHTp0+biciuuuoqtjUAAP9Zv369GaFy5ZVXsk0AAMjORGQAACBzr776qsm01cnIbrzxRhOwffbZZ+W8886TI0eOmIAuAAA4o3nz5nLgwAE2BwAAXhC0BQAgl1StWlVWrlwpDz30kOzbt0/q1q1rgrV9+vSRZcuWScWKFbP0fAsWLJBu3bpJlSpVTAB4xowZbrc7nU4ZOnSoxMTESLFixcwkLps3b3a7z9GjR83rlypVymT/3nnnnRIXF5cr6wsAQE688847Mm7cOPn5558lJSWFjQkAQHbLIyQnJ5vhK/PmzZPdu3ebDqR2UNu3by/du3eXyMjIrDwdAACFjgZGR4wYYS45derUKWnWrJmp+edt9uxRo0bJG2+8IZMnT5batWvLc889Z0o0rFu3znVM1oCtBpB/+eUXcxzv16+f3HPPPfLFF1/kePkAAMiJSy65xBybunbtKsHBweYEpJ32N48fP85GBgAUSX4HbZcsWSI333yz/Pvvvyazx6rVFxsbK++//75UqlTJdAA7duxo2jWw26FDh0yf9+WXXzaBYJ05VA/SF154oRleeu6557ruk5CQII8++qiZUTQxMdF0SPWsrL4mAACBok6dOjJ9+nQTaPW0Zs0aufbaa2Xbtm1+P592YvXijR6Lx48fb8ovXHfddabtk08+McdGzci96aabTK3A2bNny9KlS+WCCy4w93nzzTdNbd3Ro0ebDF4AAPKL9vE0MAsAALIZtNWhll26dJFq1arJp59+aoZqlixZ0tymQyx1ts8XX3zRFJDXjuGqVavk7rvvNsHWzMyfP18efPBBadWqlRkS8/TTT5vX0iwhnYVbDRo0SGbNmiXTpk2T0qVLy4ABA0zG0R9//OHP4gMAcFbs2LHDnFz0Jj4+Xnbt2pVrr7V9+3bZv3+/KYlg0WNkmzZtZNGiRSZoq//rSVYrYKv0/prNpCdjr7/+eq/PretgXw+t06tSU1PNRWknW5/H4XCYALLFV7u2nbktSOz989TUM/cJCXHvtOdGu768w+E0r6evm3m7UxwObTuzHha9rz7Gc9l9tRe0dbL2qX0/+dp/9vta7Weez5Fhe4i1Tvoe8VKfK6N2bbNvGV0qRwbt1mu51vW/23Lanp1lD/R1svax5/4LCQn5773jSPfZ9tXu67tAnEHp1yrI6aXdceZPn+2eW9JaBj/bgxxnNoJbu7Usvtr9XfaCtU72z3F2v8s93zPZNXz48Fx5HgAAimzQVod4al0+DZJ6DlkpUaKEycDV8gg6vEWzYA8dOiSDBw/2awE0A8ju448/NjX/li9fLpdeeqkZDjNhwgSTxXvZZZeZ+0yaNEkaNmwoixcvlrZt2/q/tgAA5DI9QakBWatTqwFOrSPreR/Nfs3NzFYN2CrPUSf6t3Wb/u9ZRzc0NFTKli3ruo+vUTDeyjts3brVHPetALHW0tUJZOxDV8uXL28ue/bsMeUdLJUrVzYB5MaNy0lUVNrPj/Xrj8rx40nSsmUFCQlJCzCsWnVYkpJSpVUr9/VbuvSAhIeHSLNm5V1tqakOWbr0oJQuHS4NG5Z1tcfHp8jq1YelfPliUrduaVd7bGyibNhwTKpWLSHVqp1ZH3XwYLxs23ZCatUqJRUrRrnad++OM5f69aMlOjrCtj2Oy6FDpwv8OtnrIFv7SU9AJCUludr1xL3ue30P2IM1WpZD31OetZR1Mj49Ga8nF1SHYtGS4nTK/ITjUiY4VFpEpC3jKUeqLE48KTEh4dIwPG0Zj6SmyMqkOKkZGil1wtJKcO1JSZINyfFSPyxKqoaGu9q3JSfI9pQEaRJeQsqF2PZHUrzsTU2SVhElpXhwWtjy78Q4OepIkYsjS0uoLaC9OOGEJDgdZpnt5p2OlcigYGkbWcrVVtDXSfelfT9ZQbn69eubz6+WQ7OEh4eb0QT6ebd/f2iSRfXq1c333uHDh13t1ndE8OnKEpyY9rqOyEPiKHZYgk9Vk+DktG2WGrVPnBGxEnKytgSlpn3OUkvsFGfYKQk5fo4EOdPWNaXUNpHgZAmNTRudZ9qjN4o4wiT0RB1XmzMoVVKjN0lQSnEJiauR1h6SKKmltklQUrSExMekLWNYnDhK7JLghHISnFAhrT0iVhxR+wr8Otk/r9n9LtfRlwAAIACCtr/++qspEO8ZsLXT23R4i9bO0wCrZvhkh/VjQTuUSoO3WufInknUoEEDqVGjhskgImgLAMhPWtLn+eefN9c1+0hPXhb0jKKnnnrK7eSrBqI1KKMncHVCM2VlbWqQ2B4Yttq15r1ndpZas+aI16zUFSsOuS2D1a4BTc/206dT0rUrDZTa262XP3z4tBw9mpCufc+eONm3Ly0YYS3vjh0n5N9/T7plpapNm2LTZdoWhnXSAKvnfqpVq5bX/afvATur3f4cVrsG+az2eX+mnaQ/5kgxAVBP+1KT5MDptECx5d+UBNmZYlvX//7flBwvm5Pj07X/k+Q+0Z4VYl6aeNJr+8KE416zUj2XUXMT450Or8teUNfJcz/ZaTDW3m59tjXIZ424s7frb/cyZcqka3cU2y+OYvb39n/ZvcV3i8Mz+1S3c0kNIHtpL73FYwkdaQFNz/bgRC/tIs7QUx7tZ5bFGR4rKeEn0i9j5BFxRB5N317A18nbfs3qd3nNmjUlu7RU0JgxY8xy6PWM6HJ899132X4tAAAKfdBW69ZqhkVm9D5hYWHZDtjq2f6BAwfKRRddJI0bNzZteiZff0xaNXS9ZRJ5YlgnwzoZ1smwToZ1MqzzbAzrVDrSxApw6YRhWmPWM7ClxzEdIdK8efNce13NdlKaHaVZUhb923odvc/BgwfdHqdZdZoRZz3em4iICHPxpEOm9WJndeA9+Wq3goWerIBmXrTrWyAr7WfeHt7anYVynTz3aUb7z9t9/Wm3F1XQpXAvspBxu69Pq6/21Dxsz+qyB/o6WYE5b/tPb8tKu6/3jBmS7+W9l/X2rG41L+1BWW3PrWUPrHXKyv7Lars/Tp486SrRoCcFc7um7dtvvy2vvfaa6StqjXmt5d66dWuv9127dq0MHTrUJApp9rAmKml/NCfPCQDAWQ3aajB25cqVpvxBRv7++2+TiZNdWttWJ2pZuHCh5ATDOhnWybBOhnUyrJNhnWdrWKd23qyJx7Tjec0110i5cuUkr+mwdF2fOXPmuIK02vnVWrX333+/+btdu3bmxKt2Rs8//3zT9ttvv5mgtda+BQDgbOvXr59UqFDBNXl1bpo6daoZKfLee++Z45xO2KkjYDZu3JiuXJDS8kZa9uOGG24w86jkxnMCAJBbgpz2FCQfHn/8cTMjtQZTvQ2fUlu2bDFB3dtuu01GjRqV5QXRycV06MuCBQtMR9SinctOnTrJsWPH3LJtdUiOngX1dnD1lmlr1dqyD+vMTtH9Tp2eL9CTjRTGCVR+/vmZPJ9ApcXkNwv8ZCOFcQKVVf0eyfMJVKauvKNATzZSGCdQ6dVkQtpTZPO7XAOZOoxXS/JYx4VApJN96vFVtWjRQsaOHSsdO3Y0w5C1TJCWZnjllVdk8uTJ5tj53HPPyerVq81knpGRZ+pldu3a1WTfamdTyw1pZ1knJtNSRv7S46gOic6N7dWxY/pauchfc+cOy/PXaDRxfJ6/BrJubf/0GYW5beqqvnn+Gsia3s0m53iT5eS4oL/TtMxdXmSqalBVJ7h+6623zN/6O0D7gQ899JAMGTIkw8fqqBntX3pm2ubkOfPiOIqiieNoYOI4WjT1PovHUb8ybZ955hkTUNVMor59+5osIu0sqp07d8qsWbNMh1EzcvW+WaGdaT3gTZ8+3ZxptQdslWYGackFzSTq2bOnadOzmvq6mkHkDcM6zZZNt10Y1smwToZ1MqzTYFhnjoZ1ZkZPPn7wwQeyadMmMwGZJw2q+mvZsmUmSGux6szqsVgn7nziiSdMJvE999xjAtEXX3yxmeDTCtiqzz//3JwY1ROgut56LH3jjTdyvJ4AAGSHHzlD2aKTJ+rIEq3LbtHjns6NokHiQHlOAAD85VfQVjNcf//9dzPcUjuievF0/fXXm1o/GinOakkEzfbRoLBOamDVqdXn0cnN9P8777zTdFQ1s0gj0Brk1YAtk5ABAALJTz/9JFdffbXpzGnAVbNcT58+LX/88Yc5sdm+ffssPV+HDh0y7Nxq1rBOgmZNhOaNHjuzklULAEBBdPjwYTOqTuc+sdO/N2zYcFafMy/nWMntEYV5MVKNdcr9/RRSCEZJFsaRn9Y+zsvPU0EfJVkYR36m2j7HOfney7WgrXVg+vbbb02Gq2YRaZ1ApZ1QLYtgZd5m1bvvvuvqmNpNmjRJ7rhDhyWLKQhvZQfpwU9rCL3zzjvZej0AAPLKsGHDzLBKLVugo0ReeOEFadmypamhq8euyy67jI0PFBCVokrIvc1bS4uKVaRS8RISFhwse+JOyIzN6+SztSslxXnmx3bTCpXlmbYdpG6ZcrLn5AkZs/R3WbB7h+t5+jc5X/o2aindvv1ETiSlBXGAouzLL7/0ax4T7dj6qjUbyPJyjpXcnrtDaV+7fv36uTYnBOuU+/upQ7FoSXE6ZX7CcSkTHCotIs68j9QpR6osTjwpMSHh0jA8ytV+JDVFVibFSc3QSKkTljYKa09KkmxIjpf6YVFSNTTc1b4tOUG2pyRIk/ASUi4kLVS0Pile9qYmSauIklI8OC1s+XdinBx1pMjFkaUl1FbKcHHCCUlgjhXmWGGOFcmNOVb8qmlb0FGLr3CjFl/RRQ2hoim/a/FlRJ9TT3BqcFZ/gGvZH2sSzylTpsjw4cOzne2TnziOFm5F/TiqxxINxD7z+89u7a0qV5OPr+olp5KTZOeJWKlWsrSUDI8wt01Zv0peWDTXXJ/T+045lZQkt836SsZddo00qVBJLps6QU4mJUr1kqVl+vW3muf+abt7hzwQcBwtmvL7OJqVEkXeMhN90QBZVFSUfP3119K9e3dXu5YU0hJCOrIzqzVts/uceTnHCpm2RTN7mDlWAjPTljlWima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", "text/plain": [ - "
" + "\"Output" ] }, "metadata": {}, @@ -597,9 +593,8 @@ "outputs": [ { "data": { - "image/png": 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", "text/plain": [ - "
" + "\"Output" ] }, "metadata": {}, @@ -726,7 +721,7 @@ "### Steps 1-4 compressed into a single code block\n", "Here the full workflow is put together at a larger scale. When using `SabreSwap` as the `routing_pass` for `SabreLayout`, only one layout trial is performed per call, so the following code cell loops over seeds to explore the layout space.\n", "\n", - "We use the same `wrap_sabre` helper defined in the small-scale Step 2 (above), and add an analogous `wrap_routing` helper because the `routing` stage at index [1] is also a `ConditionalController([BarrierBeforeFinalMeasurements, routing_pass], ...)` — replacing it bare would similarly drop the protective barrier and the `_swap_condition` gating." + "We use the same `wrap_sabre` helper defined in the small-scale Step 2 (above), and add an analogous `wrap_routing` helper because the `routing` stage at index [1] is also a `ConditionalController([BarrierBeforeFinalMeasurements, routing_pass], ...)` — replacing it bare would similarly drop the protective barrier and the `_swap_condition` gating." ] }, { @@ -863,9 +858,8 @@ "outputs": [ { "data": { - "image/png": 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"text/plain": [ - "
" + "\"Output" ] }, "metadata": {}, @@ -1007,9 +1001,8 @@ "outputs": [ { "data": { - "image/png": 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zRrWbzwXglltuUed3e/fudZnvn3/+qY45zO+pzyXMx4Z6vZqPm63a3I/5f/jhB5f2V199VbXjmJmKNpZHIKICg0tlkNllvuFyfnd33323+mVV078gItPWG7iMxpyFhl+EMQ9kC7pDBqQ52w6ZpMiw0u+FDDVkoeISaWTaabisVWexZQfZYXhvLA+yTvUN74t54xdqM2Q8mn9t1Zfl4ldxc31OtOMXW/xqCliXyFRFdp/5ffALK6a1ujzIvfYk+untOrbyzTffqFIH+JXanb5MHQPI4Vd39FND9h6y+pCpi0uhzJAp4Cmj2b3/+CUdWWz4Bd+8DvB+yMjN6RKp3Ow33sB+g22E0hjIbtCQeYB97IcffnCZHpkR2M4aLp9CVqh5myDTAFmH5nIh3kDWAPYfZNZqyLDEZfX4ezPPH5kXW7dulQuFbY33RNakhv0RWeQXCn+PKAOgYT1hP8d75hfMC9n1yNrQkM1pzrr0BOsRl57ltayEeV9ERiz2Y+yLyEJFlkpu9xv8bSJzxmrd679NfFbhswdZKea/H2Rs4D1y+vtBxoz5c9sdMl/M9aitPtfNy431h/dHtizOmdwvwwTzvgV6++PzxAx/g+7037a+RBBZPSi1gGwbZN0C/sX6MZdfyc22wdUBWG4zrGdk79SrV89lPSNTHNzXs16n7lepEBERuR8H41zAfEUTvtdwHG2+Mg/ZtfhuRyaquVQbsmzB/HpcuYLvK0xv/s7C8a0u3+Newghl0VBSyp05uxPfmThuwL/4/sPVSLhiRZf1wnEurtYyZ67ifMH9ijzdR1wtiWNDcx+xLlDGAWXL8uO41lwmCcclyLY1Z7LiCkP3q9JwLoEr9pDpizIK5v7hCkicTy5YsEDyEzKWcdyGrGsN/cU+gKuwcIxIRRvLIxBRgcGXhDcDkaGEgNVJqzd1FQFfjq+++qqq6WSuEWhVf9b9vfT76ffC5S44GMGXqjurNnc4SMDl654Cj+61jNz7owO4+tIi93bdT30wok/83SFIaIYDB/c+mZc7L1BfEkHW7OzevVsFUM1BTPMlSHjeDOUTPHF/DusAByWYf14Gi8rNfuMNvSwXX3yxSzsCVzgIdV9W1Pp0fy9sE+w/Gi57RzAYf0vY/3DpGA7OcIladhCww6X6uLQM9TcBAVwEVfVlYIBLqXCQjHpjuIQcl8ThkrPsymJkt/wIeroPPuG+PvLCahujz1i+/IL+Yx27bxNv+o9yK+gLfthBcBnbCT8mYH16A4HzF198UV16r09izCcAud1v8LeJfmc3MBv+fjBvqxMt8Kbumi5TktfPdVxCiFIDKKni/lnkvtxYFiy7+zbDZ4t72QurbYZAK0os/P777+rzFcuHNqx7c9AWNfnMZVlys22w7d0HTsR6xsmpt98Jep3m9XOIiIiCA4J0+G7Bd6O5ZjyOQfCDIQKFOB7UgVn8wIljSjyP7xoEP3VAV8P3Fc6DsisJh/maz1NwPObp+w3fnwh6Wh1TIMiK8xWUZvL03W3Vhj7iR1RP5bF0INhTv3JL/9iMYLY7HDOYg7Aoi4bAOLaNOYhqlt+DxOG4G8kxKOeEMnHYdiixh367l+WjoolBWyLyOfOvlt4GBDScZOPXTNT7wQBQCBohWIfaqFaDNV3Ie3kDX9T41RWDzFhxP4Dw1J+c+ql/KUfNTWSWunMP1nian78xZ7Xl9BzWAQIbyN62Wr7sRq7N7X5TELzZFxHcxgEgAswYMA8ZlOgvAl1WA42Zoa4msv4QlEY2IYKKCOTqA3jA8iPAhwNqHHR+9NFHqtbmxIkTVa3QgoLtZvU35z64U1GBwCfWM2qHYX/EDfsSsk/cB92zOmlBDWKcuCCIjgAkfmRBViiC9uasmPz8DMN80W9PA2nkVMMbNWiz+9Enp35iW+OzErW8sZw4GUJWDq4mQM1r9+VGFqv7jz+5oQeWxNUOCChj2fF5jMAt/qbwww0+F8xXDuR221h9fmEaZLqMGTPGsl/uP9DpdWr+OyUiIjJDoBNXauA71VNwEkFZfeUJgnrPPPOMyq5F0BYZswjq6Tr8GuaX3XeW1fGBrjHvPh+8DwKsyJbFdzASUHBsoI+13b9DvYV5ow/ZHa8jEcEX9DEOrojyNKZDduc6eYWrwlB3GNsX2xkBYxw3IRGDij4GbYmoSPCUdYQgFk6iESzBl5OGA4K8wIk85uc+yjlYtbnDST0u+/c0onp+0Zll6G9+vVduM7vQB1xynx0MPIAMQByYmQMu+rJiPXprXuD9cXCEDNzc/pqem/3G2/WilwVBVvOv6LikDAfXed1OCGShpAFumBcyZTEAGwa3wzJ4gsvGMNiCLpGAQY/wGnfIKkRwFzfsuwjkYoCy3AZtsfwY+ArzMAfMsT7cIevSqjSHezayZnWZG5bHPNjehe7T6D/2Z+xT5tdZ9d8KMixxWR5u2N+RfYtRmTFQnlUGr4ZsCFwyiMscse41nXmS178NDPiFAUU8ZZxjGmTcIGs7LycQCLIi4Its09wMqKFhMC5sQwS1EdzWclNiAtsM61pnFme3zXQZCQRmEbTV5Rrwrx7ABJk55m2QH9sG6xmDneEHE2/2Rz3v7AZEISKi4IbjVRyvIFBnNeguMlxxebwO2uKHQJROwOBgOE5DcA/H5eZyS/rKJmRr4kq+C/mhFMf++O6zSjJAgoCZPpaz+u62akMfcfxw+eWXZ5ugkV/0MT3OXdyv7EHZMTN9vIfj9fw8F8zp+AFBcQxKhmAtBj/DeQ7OA8xXDlHRxZq2RFQk6LpIyHwywy+2+CIzZ+ihlpH7iNzewvzwJYvXHzhwwCVga1WP1x0uicbltwgGukPfcXlufsAo6sj+wkiiCMy4wwFXbulfyt3XsScojYADMhwAevqlGQeIhw4dcqmtinWAEeJxoIUstrxC8BLbCweD7lmGeIxgiye52W+w73mzTrDfIDA0btw4l/7gAAqBLfcR7b3hvgyYPy7FwvyttrsZDuKxnyDDdsaMGeq1OIDLbv7YJjjgNJeLQN9xoOp+Kbg7bGtsW4yOq2H9Ylu7w0Ev5mneT7EveRolGNtF13OGVatWqaBkTnWmvd12uv/4m//666+dbai9Nnny5Bxf674ecaKjS0zodZndZxiY9xkc7CP7M6/wt4nLF8ePH5/lOf0++KzC9tHlM8ywHXNabxgZGfNas2ZNnvpotdy4j9GZvaW3P/7mzDxdDogALfYbZCfpoC1OZBEg1dlGuj2/tg3WM/ZdnFi7wyWousauhvWJzyasXyIiInf4sRKXwiMjFj+woxa/+w2Ztfhx1DwmAjI/cVyDDFyUT8DVLubxOwA/ouK43VOmLX7c9IbV9yfgx3H38wZcMYigI676Mv+gj+Ncq2MC9BHrwCoRITd99BauzMP3MtaJ+bwBV93gx2/3q5BwPIkfe1euXJllXlgfeTlH08FpXJ3kCcbQQGYzxjNITk4u0CvmqHAx05aICgyCnO4DtQAGmsltPR9dbwn1mBCIwsEALv9GIAxfoqgdiVqfqJmEAdAQeDLXeMwNZBniUnFkoGHgG3xBI/iBS21wCXR2Bg4cqOozdu7cWV3ii37jpBwHTggGITCYH5e9ImCL4Bgue0EhfKwLXCqEGpEY8Ap9twrYZAfZdggIIsCKzFX8Ootl9nSJEZYVy4TB1Pr06aOWFQcTWH5cXo9BynC5DrINsS4QjMCv6XgNgnMIrGAggbxC4A81aXHQhvWKgCTmh0w1HBDivZ999lnL1+Zmv8Fy4aAM0+PgFpm9esA4M6x/9AVBZMwXB3nIEECA57LLLsuSzeANXFqGg1lsT9TuwsEYtiv67826Q3Yu3hd9wN+NezYGtne7du3UMmJ7r169Wm2ffv36OafBukQWLrI6sB09QYYp+jlo0CC1PTBvHLRaBXuxv2B9ok/ICMD6xz6D2mrudUMB2wWDQ+HvEUFQ7Ds4MPZUhiS3204f7GLd4mQA+ypKZqD8iNVlf+5wYIx9H5kpqC2HjGEEq1GWQmdM4j4+txAcxDpBhjemx+chMo91vTmcGOB9L6RkC5YBWTQYNAMBbgQi8TmEdYEMYNQxxg8myMQePXq0+lzDvoasXGQ142QOJ0rmQdncYXtgG2Cenmpr55Spi79h/I0iqInPNGSG5KbONtYpTkyxf2OdYl0i29vTVRFYD8hS37t3r0twFlm0+JzC55O5bm5+bBt8RuOHEwykiGAx/kbwnYLvRrTjBz5z7XdkGmMarFsiIiJ3OEfB9xiOn7L78RbnM0gcwDEo4NgR3y0o74NjLavL91HKAN9DOMZHLXd8v+P7GecX+H7FFV45DVQKOPbBMd0bb7yhAsW4GgbZsfiuRbDZ/Qfft956SwWR8b2L4xRcwYPvSPxQ6p5pimMTHJfimA2BU5xz4dwKA/cicQbHABcy0LLV8crjjz+u3g/rA+sWx614jHMd94FTcX6GYyQcW+B4DBmwCDKjTwhMow3bJjdwTI3jfhzv4LgUx/O42tJ8/NW9e3e13RCUx/EurvChAGEQEeWzqVOn4ozW4w3Pw86dO9XjN998M8s80D5s2DDn47S0NOOJJ54wypUrZ9hsNvW89vHHHxt16tQxIiMjjXr16qn547XuH3F4/Pjjj2d5r+rVqxs9e/Z0aVu0aJHRtGlTIyIiwqhdu7bx0UcfGc8884wRFRWV42tPnz5tDB482LjooovU68uWLWu0adPGeOuttwy73Z7tsi9ZskS1z5w503Kd/vnnn1mm79ixo1GyZEnVN/S1V69exurVq53ToH8xMTFZlttqHa1YscJo3ry56rf7NrBy7Ngxo1+/fkZ8fLx6TZUqVdT7HT161DlNQkKC0bt3b7UeMM0ll1zi3Ae07PYF3c8jR45Y9uGbb74xrrzySrWMuGEfwHbevHmzyzrAtjLzdr/ZtGmTcfXVVxvR0dHqOb299TZB383Gjx+v5hceHm5UqFDBePTRR40TJ064TNO2bVujYcOGWZbFvZ+TJk1S712mTBnVT2zfgQMHGqdOnTK8kZiY6Oz3tGnTsjz/6quvGi1btjTi4uLUdOj3yJEjnfupeTndt5mn/eH+++83SpQoofZJ3F+3bp3l69GfWrVqqX3i0ksvNX766acsy2/eL95++22jatWqaj1cddVVxl9//eUyv9xsO092795t3HLLLUaxYsXU/jpgwABj/vz56rX4W9Pc+/n1118b119/vVG+fHm1PNWqVTMefvhh4+DBgy7z//DDD9Uyh4aGuszzt99+My6//HLVz8qVKxvPPfecWh/u7+vtfgNnz541XnjhBaNmzZpqX6xYsaJxxx13GNu3b3eZbvLkyepvHu9dvHhx9feJ9z9w4ICRk/79+6vPOW8+w/S2NO8HGzZsMDp06GDExsaq9d23b1+1Xd2n8/QZBufOnVP9wN8Iprn55puNvXv3Wn5+4e8B6x7Lie8U876I6bG/urvQbQP4e3r99dfV89h/S5Uqpdb58OHDXf6WT548qfYffN8QERFZwXc5voP+/vvvbFdQ3bp11bEYjgc0HLPjtThOM7ebpaamGu+++67RokULdTyEG77r7733XvX95/597+n4cNeuXaqv+H7Hd+hll11mzJo1y3m85n78jHOvVq1aqe9JHD/ju33lypVqWnyHuvvss8/U8T++0/EaHAfddtttxowZM3LccfQxidV5jtXxosPhUMfMOL7D9zS+z3Hs4GlZcM7y7LPPOs8zsB0aNWqklum///7LcoxtPp7wtF5/+OEHdW6K+eF5HHe469Onj3rulVdeyXEdUNFhw/98HTgmIioKkMmJkcSt6msSkTVk3eIX/5wydanoQdYIMlBwVQUzOi4cMsiRlYQavQUxUAkREVFRgitwkFn75ZdfqqsKKXvIUkZZLxx7m68coqKNNW2JiCyg1qAZArXz5s1Tl5ITEVHG4By4PPO1117j6rhAqN2HMh4YPIYBWyIiCibII0QdVqvvxbCwMJ5/eQFlolAaAfX+GbANLKxpS0TkIRiBrED8i/qUqE+EgZxyqqFJRBRMzAPPUd6hnjBqBhIREQUbjFdQvXp1VZcV9W8xwCvG2MA4E6jBi/EdyBoGd0Nd3U8//VSSkpJkyJAhXFUBhkFbIiILGEgKl+JgBFUMGISRvEeNGiV16tTh+iIiIiIiIsqnHy4xUBoG6jp48KDKvEXwFoME45J/8gwDCGMQ5Pj4eDVQGc5ZKbCwpi0RERERERERERGRH2FNWyIiIiIiIiIiIiI/wqAtERERERERERERkR9hTdtcSk9PlwMHDkjx4sXFZrMVzFYhIiIiIiKiLFDv8vTp01K5cmUJCWEOUn7j+S4Rkf98lzFom0sI2FatWvVCtw8RERERERHl0d69e6VKlSpcf/mM57tERP7zXcagbS4hw1av2BIlSogvfvk8cuSIlCtXjr8sk09wHyRf4z5IvsZ9kLj/UTDz9WdgYmKiSqLR52UUWOe7RETBINHL7zIGbXNJl0TAF5ivgrbJycnqvXk5EPkC90HyNe6D5GvcB4n7HwUzf/kMZKm6wDzfJSIKJrYcyq6yCBARERERERERERGRH2HQloiIiIiIiIiIiMiPMGhLRERERERERERE5EdY07YAOBwOSU1NLbAaUpg36kixpi35AvdB/xYeHi6hoaG+7gYRERERERERXQAGbfNZUlKS7Nu3TwzDkIKA+SJodvr0aRbfJ5/gPuj/hcyrVKkisbGxvu4KEREREREREeURg7b5nGGLgG2xYsWkXLlyBRJURcAsLS1NwsLCGLQln+A+6N/b5siRI+pzqE6dOsy4JSIiIvKhCRMmyJtvvimHDh2SJk2ayHvvvSctW7b0OP3MmTPlpZdekl27dqljuddff11uvPFGy2kfeeQRmTRpkrzzzjvy5JNPOtuPHz8uTzzxhHz//ffqysyuXbvKu+++yx/0iYiKIAZt8xHKFiBogoBtdHS0FAQGzMjXuA/6N3z+4EAfn0csk0BERETkG1999ZU8/fTTMnHiRGnVqpWMHTtWOnbsKJs3b5by5ctnmX7FihXSrVs3GT16tHTu3FmmT58uXbp0kbVr10qjRo1cpv32229l5cqVUrly5Szz6d69uxw8eFAWLlyojgd79+4tDz30kJofEREVLRyIrAAURIYtERE/f4iIiIiKhjFjxkjfvn1V0LRBgwYqeIsrMqdMmWI5PbJhO3XqJAMHDpT69evLiBEjpFmzZjJ+/HiX6fbv368yab/44gs1loHZxo0bZf78+fLRRx+pQPGVV16psntnzJghBw4cKNDlJSKi/MdMWyIiIiIiIqJ8YrfbZc2aNTJ48GBnG0oVdOjQQX7//XfL16AdmblmyMydPXu28zHGNrn//vtVYLdhw4aW84iLi5MWLVo42/CeeO8//vhDbrvttiyvSUlJUTctMTHRWfoPN52UhHng/c1jt3hqRxue89Su52tu18vnTTuuJtPjbLj3xVO7t33nMnE7cd/j31NhfEZ4Ow4Wg7ZBqEaNGuryHFxuk59uuOEGufnmm+Wxxx7L0+vxy3L//v091m0qCCdPnpRSpUrJzp071XrJb7hMvWbNmnLixAl1ABWI8Cs/6nXhkq5ggG2KffWvv/6SyMhIX3eHiIiIiPzM0aNH1Ql6hQoVXNrxeNOmTZavQd1bq+nRrqHGLcY2wTmTp3m4l17A9KVLl3aZjxnKMQwfPjxL+/bt2511cEuWLCmVKlWShIQEOXXqlHOasmXLqhuyf8+cOeNsr1ixojr3wXEzAtiaHiwX8zYHVnG+hH5u3brVpQ+o64vxXHCuZg6A1K1bV70fxnHQIiIipFatWqp/5mWNiYmRqlWrqlq/2C4al4nbifse/558+RlRpkwZ8YpBuXLq1CmEw9W/7s6dO2ds2LBB/ZtnS183jGElM/61kJ6ebtjtdvVvXlWvXt349ttvDX+yePFio1mzZs7Hc+fONa666iojLi7OKFeunNG1a1dj7969Lq85dOiQ0bt3b6N8+fJGdHS00aBBA2PChAm5et8TJ06o7blz5858WQ7Ma926dc7HmC/a8D4XaurUqUZISIgRExPjvL3+euZ+8uabbxqXXHKJUbx4cSM+Pt545plnjJSUlCzzwb5zxRVX5Llf+bEPXijsDxUrVlTLWqNGDWPEiBEuzy9btsxo1aqVUaJECaNy5crGoEGDDIfD4fI3EBUV5VyPJUuWdD6XnJxstG3bVu13mP/FF19sTJo0yWX+vXr1MsaOHWv4o3z5HPJz2JYHDx502aZE3AcpWPAzkIJ9H8zufMxf7N+/X/VxxYoVLu0DBw40WrZsafma8PBwY/r06S5tOLfBuQ6sXr3aqFChgpq3+Zj2nXfecT4eOXKkUbdu3SzzxnHt+++/b/m+OPbFutQ3nHOh78ePHzfS0tLUTW9r/KvbsmvX5wme2s1tuh03b9vBvV33xVO7t33nMnE7cd/j31NaIXxGnDx50qvvMmba+pNf3hBZMjLjvv637XMSDJCpiXpPGn7JeP7556Vt27YqlRx1m+666y5nNicyZK+44gpp2rSprFq1ShXhX758ufTq1Uv27t2rfjEORJdccomsX7/e8jn8mv/xxx/LpZdeqn4NQib1yy+/LKNGjXKZ7v333y/yGaLDhg1Tv7BjOfbs2aMyX5Epfd9996n1cOutt8qzzz4rv/32m9of2rdvr55/+OGHnfP48ssvLbPN8Ss/an+hlhjub9iwQb0ej6+66io1Tc+ePVWNsgEDBhTqchMREREVlP0nz8mJM5nZQVqpmAiJjyuYQZYDFbKwcAk/jsnN8BjZWFbQnt30y5Ytk8OHD0u1atWcz+O495lnnlFXUSK7C9NiGjNkqiKDzNP74nja6twA/Xcf1FaXK3CX23ZPg+Xmph3niLlpz6++c5m4nbjv8e8pPz4jvB0LiwOR+WPAVsNjtBeA//77TxW2L1GihKqVZC5M/9xzz0n16tWlePHiqmj+zJkznc/hCx+1kFBSAKnfzZs3l927d6vn2rVrpw4YNNRxuuaaa9TlOBjRHoFXKxjVFAXzMa127733yk033aTSyJGu/uSTT6o6TDjoALwPAmooqo++ogg/AmvTpk2TN998Ux20WEG9pkcffVT1CZfhfP311y7PI1l23LhxUq9ePbV8WCYU9NcQ+Bs5cqTlumvZsqX6t02bNqrf5mDp999/LxdddJGaJwLLWOb8hiD3ZZddptYFUvB79OihAtlmCGBiUIQ33sj9foXX4SARy41LlTDAAXzyyScqUAzffPONWnZ9i46Odvkw+vnnn9V6wnpAHa45c+bkOXitDy51TRl9ORUC/thPEVjFByO2GWp5/fPPP17NG6/B/LF/6fnjtm3bNuc0+MEAl2OZ9w0iIiKiohywveatpdL5veVZbmjH8+Q9XKqP86RFixY523BZLB63bt3a8jVoN08PCxcudE6PWrZ///23SuDQNySuoL7tTz/95JwHkltwHqYtXrxYvTcGJiMioqKFmbYFbVJbkSTXXzuzSDktYj9t/RwCt7+NE4ks7mwKE2RRW0TlY8uLPPyLV91CwO3HH39UQTgEMZGhiC90aNKkicpSRI0NBGxxgIBi9ghyvvXWWypwivodCJohEIbgrjs8jyAsMl7nzZunDhTMBw9mCLadPXtWLr74Yo/9/eWXX5yZj4ADE2Teuv9agUxI1B1BcPDBBx/MMh8EXFGg/99//1WjtyI4bPbBBx+obFUEWbG8yEpFnV5kW+LgK7t1h4xfBPeQDayDmDp4jOnXrVsnp0+fVgdMqAOL4C1kV+sW74GDM23z5s2qThUC2aghjMCwp9djnTVu3NilDf1F9q3X9VPO27Jli7z44ouydu1atZ2wfY8dO5Zluq5du6qb/uUfgXddVwvLceedd6rALoLhWE94HusN85w+fXq29ZAHDRqkbhqmRcD43LlzKnCv1ycC8n369FHbEdMjExf7A7alGbJusY8gAP3SSy9lqaXcuXNn9ToE+rEezQM3IDCOIDwOlrFfEhERERVlyLBNSXMd7ElDO55ntm3uYFAxJBHgPApJC0g6Qf1DfXUhEizi4+OdVwjiCi5cZfj222+rY2Qkp6xevVomT56snsfxu/sxPI5JkUGrz6NwXIor0HBF2MSJE1WiSL9+/eSee+5RAV4iIipamGlb0BCwPX0g+5ungK2G589Pa1O3g+rfLPPJKTjsFrxDNikCl8i6XLJkibOQe/fu3VWgDQFRfMFjOl2WAAcGCNYh0IrnEZxEkMwdMl7x6zICa1FRUep99KXl7jBIF573dDkMgp0Iqr3zzjvONhSI9nTggXb3y4I0BEuHDBmipkGwE5fZu5dpeOWVV1QgTxf5R1AQWb7erDtPhg4dqoLbeF8cSJkD2Pg13NPNHLC9+uqrVZAchfURJEYgFQeCVj788ENVGuCFF15wKQeQnJysgvC5pUdoRYY21gcGRXAPCLvDukMwXmfkTpo0SQVWEcxHZuyVV16pAqP/+9//1PMIoGe3LswBW0AQNikpSf7880910Ivsbw0BfRzgItMXwVW8D9a79vnnn6sBDRB8RgY4As2Yj9ncuXPVgfXSpUvV85iXGTKOse8SEREREbm7++67VcILzgNwzoQf+3F1oR5sDIkFBw8edE6Pq/WQxIBjWCTR4IrA2bNnS6NGjXK1cnG+g3OVa6+9ViUl4JhbB36JiKhoYaZtQUP2a06yy7SFiOLOTFvD+X9b1lxbb97rPGQmajhwQNYsAli4rB7BUQTaEIhE5igCY3oUPVx+g8AfgmK4DB0HI6+99lqWgBZKJiDw6Q0E2xDcQ2ame+AWQUpklI4fP16uu+46lzpR5pIOZmhHOQZPz5mX3XxfZ8Yic9bcD4z8Zw7KZrfuPDHXkEKWLIKQuYXRUDVkAaOMAy7jx7pDANl8oIasWFxOhaxjQLkABD2ROZoXtWvXlk8//VRtB2QHIFsYAWvUFLaCTIIFCxbIypUrnRnKWLcINk+dOtU5HbK2EfzMKwR/kb2AwDmyw7HfIhsZNW3xwwFq1h45ckQFqrH8GHEXzD8gIFiMA2JkAKO8hBn2A2Q8ILCMshtYr1piYqJLoJiIiIiIyAxZrrhZQWKAO1yVhpu3rErCIaEGwV8iIir6GLQtaF6WK7CsaQvtX3AdjMwwVKBLlQnwsnCxFV2HFpCVikvAcXkOaqDi8nkE1xCQQ1AMvwwjyxJQpxSBL9yQqYjSAch4RAF8MwQ2EbTzBoK7CDoi2IYauuaALWqRIiiMQKoZArgo3YBMWXOAFf1HABWX31tBpiuWXdd0wi/cZlWrVlUBR3NWprfrLjfFpM2wTj3BekR2a3YFrvW20QFb1P/FujdnwiJjFwFrXRML5Sp0MBYZsHfccUeO/USgHjcEiZH5jOxWqzqxyFBFGQpk+pov4cK6xWVf2J5W0HfzQGHukCGNmxVc+qVr2qJPCKDrZULgGhnJer/NTbFwq/nrx6hxq8tgEBERERERERHlJ5ZH8BcIzCJAm13ANh8hUIcgKS51xwBWuPQegS5kDyIIikxVBPamTJmi6r+aA3K4LB/PIUMS5RJ0nVkzlFhArVLUUkJQE4E+jHhqBfPAgF7IltQQqETA9tVXX3XWfTJ76qmn1HzxPhhcC0E01HBFcBf1TD1l+Xbr1k0FDRHARLYrSiGYPf744+oSJqwbwPr47rvvVC3anNadzrzdvn275AYymT3dzAFb1AbWl1Ah8xcBUASXkbmryx+gJAHq57pnwCJYiyC7HrQA8wJsE13LFcF6T8FuLC8yd7HMyJzFe1pt97/++ksFcxFQr1u3rstzCMgiyxbbGVnV2H6oL6wH88K2zG5d6IAtgubIikUb9kOU7kDWMfYhQFkObF9kz+J5ZNqiHIJeJwjU//rrr+r9sd8gixbbGFm5gPWjlxU/kPzwww8qoKznD3hPBOpZz5aIiIiIiIiICgKDtn4ZuLUVaMAWENhEABNBRmSmIigFCAIiQxGX3SMrFUHDK664wvk6ZBdiGtRnRVYsgoGo8eoOQUyMfopLc/AeNWrUUHWZPEGwFINKaaj/hGAbgrPIRNU3nRmLy9IROEOGLoJ0KM+AgCNq8GIwMU9weTsup0dtKGRJ6kCdhsuXUHf19ttvV0FpBOXcLy/ytO5gxIgRKnCK/nnKKM0rBDsReMQyY72jXAKCkRqCmggyYz3o9dWwYUP1HEo4YJvomy7XgG2sSytg3Zq3tRlKRCC7FsuM0hS4nMtc5kD79ttvVdkM1JA1bzdA3xFYxjbAjwIIemKeCJ7mFrKhsRyoS4ztgbq0uuYtSkdg4AYE5LEdsK1Ro1nXREawF9sIWcDoB/Y1BG4vv/xy9TwCtViXWFZMg/tjxoxxGbTus88+U/ssERERUSAoFRMhkWHWp4Zox/NERERUuGyG+dpqyhGCYiVLllSBKfdanKj1imxGBI0w+FZBMEzlEfJyKb4/QyYjLu1HDdvcwjq57bbb1P1Zs2ap7N2CgOAzAobuwd5AgEA9grHuo9IG0z7oDWT64ocLZOQiGO5vCuNzyNeQQY3SJAjG51Tagoj7IAUafgZSQdl/8pws3pggL32XcaXXXS2qSI/WNVTANj4u2m/2wezOx4jrl4ioKPD2u4w1bclv/PTTT3l+LQKIX331lcqmXLt2rbNmLXnPqj4tWdcZ1iUdiIiIiAIFArPxpTKDs1VKFZNG8SV92iciIqJgxqAtBQxc5v/CC251gYmIiIiIyCv2tIzBaiHCQ7kEIiIiKhwM2hLlwq5du7i+iIiIiCggpZiDtqEM2hIREfkSv4mJiIiIiIiImbZERER+hEFbIiIiIiIiEruD5RGIiIj8BYO2RERERERE5JJpG8matkRERD7FoC0RERERERG5lkdgTVsiIiKfYtCWiIiIiIiIXIK24QzaEhER+RSDtiSzZ8+WGjVq+OWaeO211+S5554r9Pe99NJL5ZNPPimw+WN9Y70HstjYWPnnn38kWFx//fXy888/+7obRERERHnGmrZERET+g0Fb8lunTp2SMWPGOIO2W7Zskdtuu00qVqwocXFxcsUVV8hvv/3m8prU1FQZPny41K5dW6Kjo6Vq1ary9NNPy5kzZ3y0FCLt2rWTsWPHFsi8165dK82bN5fSpUurddKmTRv59ddfXaYZOXKkVK9eXUqUKCFNmzaVBQsWOJ975JFHVHBV34oVKyY2m03N90IlJSXJJZdcIoXlrbfeksaNG6vlrFKlijz77LNit9udzzds2NBlWSMjI9W0WmJiovTs2VPKly+v1menTp1k+/btLu+B/Q37HV6P6YYOHep87oUXXpCBAwcW0tISERERFXB5BNa0JSIi8ikGbf1I4oIFsuPWLrKpcRP1Lx4Hs88//1yuvvpqKVu2rHp88uRJueGGG1T25rFjx6RXr15y4403ytGjR52vuffee+Wbb76R//3vfypoiMzHdevWqQBcWlqaBBoEY2fNmqXWx4kTJ1Sg8qabbpJz586p55HNi2Dm3LlzVRAcAWwEvo8fP66enzhxolpP+jZixAipW7euNGvWTIoah8MhH3/8sVoXK1eulKVLl8rLL7/sfP6///5zWVZkxt5zzz3O5xGA3bx5s2zYsEEOHjyosqHvu+8+5/N///23WncIzGL97dy5U+644w7n89hXsY+6/5BAREREVFSkMGhLRETkNxi09RMI0O7vP0BStmwRw25X/+JxQQRu9+3bpwJWyDJEliaCVGYIaPXr10+qVaumsgl79OihAn7a1q1b5ZZbbpFy5cqpjMTbb7/d+RyCXJUrV3bOe8mSJc4M2AoVKqhAmln9+vXlq6++suznnDlz5JprrnE+btmypTz00EPqfUNDQ6Vv377qXwTTAPP+7rvvVKAS743nLr74YvUYyzhjxgyP62T8+PEqK7dMmTIqY9Idgr94f2SzImMTfdMQPO7Tp4906dJFZWAi23P58uXquWeeeUaWLVsmzz//vHoOQWcNmcOXX365FC9eXNq2bSt79+6V3EJ/EbhFdqxhGGqZsf0OHTqknt+xY4dcdtllKuMV09x///1qW6DdCoKeWBZvISMXy4DtjeD6zTff7HwO77d+/Xp1H8+Zs1xDQkKc5ScOHz4s3bt3l0qVKql958knn5SUlJRcrwusYyxreHi4yrTFfqu3g7sDBw7Ijz/+KA888ICzDesE+zX6iixcrCtzeQcEtB988EG1nSMiIiQmJkZta/PyYn817xtERERERUmqgwORERER+QsGbQvYzq53yNa27XK87X/6mYwXGIbLv2g3T7etXXvZeW0H9a/7PPBe3kA2KgJkCOx98cUX8uGHH7o8j6AdMgkRDEU2IYJ8COICygx06NBBGjVqJLt27VLzeOKJJ5yvvfbaa2Xjxo0q2xFZjMhEPH36tAqkIQhmrhP7+++/S0JCggqCWUHAr169eh6XAwE1zLtBgwbq8U8//aQCiLVq1XKZrmTJkiojd/78+ZbzWbx4sQrUIjsXGZbw77//Op/HerjzzjtVfV2sl0mTJqllQVamNn36dBUARKblY489poJ/uP/222/LVVddJa+//roKpiJQqE2bNk2+/PJLOXLkiAoAvvTSS87nOnfurALEnm579uxxWQa0IZCIdYlgZc2aNVX73XffrbYRso2RiTp16lQV0MT2c4ftgYA8gtDewn6BQC2Wdf/+/R7LAyAbWme4IrsX+x/2IwSasa5Q8gKlCLBN//rrL3n11Vddls3TzRw0dffLL794fP7TTz9V+02rVq1clgX7ENYXMpWxr5qD0Jgfyi2g3jF+OED2tnkfAMxTB6qJiIiIinJ5hEiWRyAiIvKpMN++feBLO3pU0hISLmAGaRf2ejfI5kTm59dff63qlyIoirqmH3zwgXoeAUSUF0CQDUExeOWVV1R2KYJYuMweAVjUSUVmIbRv3945/969ezvvI4A3atQoFfREHVAENZGtiqxWZFtifgggI6vRCi73N9ccNUOQEEHhIUOGqIAfoM/I1LSCdgQurSBwjUzP1q1bq8e4pB591BCkRSBTZ/1eeeWVKqiKIK8OtOI5HeDD+nz33XfVujJfXu8OwV0dXMX7Iyis4bW5gfWBQCO2XXJysrMdmdIol9CiRQu1vRAcRjmFqKioLPP46KOP1HIhI9pb2Bd2796tMlcRDEaJgOwg87V///6ycOFCNf2ff/6pAsUrVqxQ2bfYJ7FNsQ6R2aqXLbfwQwTKFFhtcwSKp0yZ4vwhQmvSpIkK8COgjIzlOnXqqH5qCNgjWxvBfzyHcgq33nqrCvCHhWV8lGJ/xX5LREREVBRxIDIiIiL/waBtQa/g8/VYc5J27JgK0GadQZiElSmTJeikA6a5fS8E1xCwQzBPw+X1GrJn09PTncFEDQE1ZCAiQIdBvqzeH69DEBPBTGTQ4jUY3EnXnEUpBGR4ImCMgCvKIiDL1ZNSpUqp17tDqYaOHTuq4Km5Zikua3fPfDQvN7IjPT2HwcLMgUgE7szrBP1ElqqG+rjmgLJ5HerHyDzNjg42A4KpyBq+EBh4DUFiBNgRjMf6QcB93rx5qhQDtikGKUP2M8o9IGNUQwYsthsyf3MDwU8M/IZyFNheCIS6B0M1ZNJ27dpVlWDA9HrdIiiLMhvm/RtZwXmFIPyLL76oAq7m7WjOmMWPF+4BdawXbDcEZ7E98EMGsqRRCxfBZPzQgB8ldJYy1i0yqbFudbY39lesByIiIqKiiAORERER+Q8GbQtYzW++zlVNW0EwFKURzv8b/84YKXHddS4BLQQMkdlnFTjNCTJOkYmJOqI6cGu+1B51XRFsRSATgSp3CGoh+GYVOEaJANxwiTkyEfE8AliYVkO2LTJskV2LeWU34BWCips2bXKpa6sDtghM4jJ7cx+uu+46GTNmjCrpYA464zUoS2DOZHVfJwhGaygHocsk6HUyYMAAj68H8+v1Oo2Pj1f3sT5zC7VvkRHtCWr0ouawFfQf2asI2iLTFKUdEGgHBKeRUeoetEUGKYLQ5pq73sB8P/vsM7WNkdmKkgfIWNZBWQ3Zp8j4xUBpGMzLvG6xH5rXtzsESz3BPoSgqjlgi5q4CxYs8FgaARnFKCOBesBmWFejR492Bl2REYz+Yl0jUxnrzczq7w/TmtcrERERUZEN2oaykh4REZEv8ZvYT5S4/nqJH/euRF5cV2wREerf+PfGuQRs8wOCZChVMGjQIHU5PTJTcfm/OfsTAS1kS+oMWWTYfvvtt+o+Am8YJAqXhqO+LWp86sHGkGWIuqrIeEU7MhHds0dRY3XNmjUqAJrTgFcoN6DnreePOqJ169ZVgTf3oBmCu6hdi6AgBshCtiayIDFQGgKzKMVgpVu3birY98cffzj7jWXTHn74YZVli75gnlh+1H9F7V4Nmbg//PCDCqjj0nwEIbGuAOUGEOjODQSZdQ1Yq5sO2KKMAspP4H3Pnj2rylFgoDldpgABVGQ2I6isA6urVq3KElhE9itKQKAsgBkyYbGe8a8VBGyRVY1pUE4DAWr3eaBvyLBF1qp7zVsMHIZ9Epmx2FfQR/TVXPs3u/VgDtgiSxiBVry2adOmlv1FVi9KSJgHINOwrrDt0A/0+f3331dZ6RdddJF6HoPg4QcH/M0gMI4MY/w4gf1Rwz6CEhNERERERRHLIxAREfkPBm39LHBba/Zsqff3X+rf/A7YasiGxeXhyHBEINM9eIrAFAJwCKgh+xLBNgRaddYjsjTxGIFDXH4+YcIE9VzPnj1VBiyyHzEYGC7XR91Ss+LFi6vMT2TQoo5rdjDYFy5lx6BmgMDxypUrVdAN/UJfcEPAVcMl/gg641J3ZApffPHFKpCMS+WtMocB2aGon4rAIpYHZR7MA3UhAIiAIAKLKLGADFqUgUDwVsN6RMAP623cuHHy3XffOTM2kfmJdYbn8jugh8A61ifmje2B5UTwWGfWPvfcc2pwOGTdYp3h8n4EdrHM5uxQBKytApnIGMb21FnD7rBcyEDFdkB91zfffDNLQBhBZAQzsd/pbaa3GwK8CDyjlATKZ6CmLILd27Zty/W6QC1cBPaRTazfA/ujGfqAHybMy68hMI9gPfZd/PCAgPTs2bOdtZ2xv+LHDNRwxt/O6tWrZc6cOc56tsiM1n8vREREREVRijnTlgORERER+ZTNMF+7TjlCUAiBJVxy7z5IFsoO6EvzrQZ6yg8XWh7BHyCTFdmhyADNCS5XR3bk66+/nqf3Qkbv5MmT1QBYngYpu1DIUEVgb+zYsRJokE2KICeyjQNpHywIKNuBcgoo0+FLhfE55Gv4YUWXeMlL+REi7oNUlPEzkApSlwm/yfq9GYPA7hh1o4SE2Pzuezi78zHi+iUiKgq8/S5jTVsqVEeOHFEZqcjm9cbgwYMv6P1QBgK1S5EFidIMlDvDhg3jKvMSajkTERERBUJN2/BQm2XAloiIiAoPU5So0IwcOVJq1KihLn/HJfuFpW/fvgzYEhERERF5WdOWg5ARERH5HjNtqdC88MIL6hZovM0aJiIiIiIqCpm2rGdLRETke8y0JSIiIiIiIknVmbYchIyIiMjnGLQlIiIiIiIiZtoSERH5EQZtiYiIiIiIKDNoG8rTRCIiIl/jtzERERERERFJirM8QijXBhERkY8xaEtERERERBTkDMNgeQQiIiI/wqBtEKpRo4bMnj37gueza9cusdlscvLkyVy/9pNPPpFLL71UCsvYsWOlXbt22U7z2muvyXPPPSeFDesB68Pft7e/WrZsmVSpUkWCBf7u6tWrJykpKb7uChEREQWQVIfhvB/J8ghEREQ+FxBB2wkTJqjAVFRUlLRq1UpWrVqVYwDv4osvlujoaKlatao89dRTkpycXGj9Jf9z6tQpGTNmjDNou2XLFrntttukYsWKEhcXJ1dccYX89ttvLq9JTU2V4cOHS+3atZ370tNPPy1nzpzx0VKICkxj/y4Ia9eulebNm0uZMmWkXLlyap38+uuvLtPs27dP7rzzTrXOcOvYsaPlvO69914V8F+/fv0F9+uqq65S71tYECzt27ev1KxZU4oXL64CqFOmTLGcNiEhQUqXLp3lB4rly5fL5ZdfLiVLlpT4+HgZPHiwpKdnXI5o9u+//0pERIR06dLF2YbPutatW8vEiRMLYOmIiIgoWNnPl0aAiLCAOE0kIiIq0or8t/FXX32lAmXDhg1TQaUmTZqoQNHhw4ctp58+fboMGjRITb9x40b5+OOP1TyGDBkivrT/5Dn5d/+pLDe0U8H7/PPP5eqrr5ayZcuqx8gevuGGG+Sff/6RY8eOSa9eveTGG2+Uo0ePugQev/nmG/nf//4nSUlJ8vPPP8u6deukU6dOkpaWFnCbrXr16jJr1iy1DvD39cwzz8hNN90k585l7KMIVrdv3179De7du1dN9+qrr2aZzw8//KCCmUUVtm2lSpXU9k5MTFRZ0lgXCxYsyDJtv379pGnTpi5tDodDbr31VnU7fvy4+jFgxowZ8uGHH7pMhyAugsMIjrvr2bOnjB8/vgCWjoiIiIJ9EDJg0JaIiMj3inzQFtmRCGz07t1bGjRooLLPihUr5jHzbcWKFSoIgoAbMtauv/566datW47ZuQUJgdlr3loqnd9bnuWG9oIO3E6bNk3q16+vMiOvvPJKFfzWTp8+LQ899JAKUuH2yCOPeMwkXblypcoaRGAP7rvvPqlcubKUKFFCZWguWbIky2tGjBgh5cuXlwoVKmTJEEUgq3Hjxqpfl112mdp25j43atRIZTpWq1ZNXnrpJVWHS/vvv/9UJiOeRyDxwIED2a6DOXPmyDXXXON83LJlS7XcyCgNDQ1V+xj+/fvvv9XzS5cule+++06VHcCy4Tlkb+Pxhg0bVN89QbANWbnIWH3hhReyPI9gIN4fy92wYUPVNw3B4z59+qjMy9jYWLV+kLUJCByiVMDzzz+vnkPQWUPmsF4fbdu2VUHV3EJ/EbhFhizWNZYZwepDhw6p5xG8RND7xRdfVO8TFhamtpsZ9idktuclS/SLL76QOnXqqHljP8O+o7cF1hX8+eefatn1LSYmRvUXJQUA+zb2B2S/XnTRRVkCpd7APF955RWVYY15Y71inno7aNg/EJS9//77s2R1ox2BV6xDfA516NBB/UBgNm7cOPV3ie3lDp9hyC7GD09ERERE+R20DQ+1caX64IrQmTNnqqu4MP0ll1wi8+bNc3n+5ZdfVs/jeLRUqVLqGPKPP/5wmQbvh2NU8w1l4IiIqOgp0kFbu90ua9asUV9WWkhIiHr8+++/W76mTZs26jX6C3PHjh3qyxBZlL5y4oxdUkwHSWZox/MFBZe3P/roozJp0iQ5cuSI3HHHHSpTFIElGDBggGzbtk1dpo2g0qZNm1TQzSp78vbbb1eZzPgXrr32WhVUQqbqPffco+aNoJ05sIoA+/79+1W288CBA2X79u3qOWyTZ599VgUCEeDC5eM333yzmpcOICI4jExHBDUnT56s3ltnQt5yyy3q/TH9qFGj5KOPPsp2PeAyfRwAeYJlR9/xwwD89NNPKlhXq1Ytl+lwuTv2pfnz51vOZ/HixSpQi+zcgwcPqjasWw1BYZQXwIEVlhvbBUG/zZs3O6fBcj7wwAMqG/ixxx5Ty4r7b7/9tioV8Prrr6tg6o8//ugS5P7yyy/VNsZBHoLcWufOnZ3lDKxue/bscVkGHCBiHigf0aNHD1UmAH755RdVWxbBYgRFEcx2P9DEdsTyIPiaG/ihAAFrZMZjO2DfwX7qDkFiLLu+4ccZBFTRLwSXr7vuOrW/Yz0gwI6M+0WLFqnXIuia3XrAuraC0ir4PEEAXcPfD64AsApOY90g8I5lQYkN7PMI1CNrWdu9e7e8++678uabb1q+Z3h4uAo650d5CSIiIqKsmbahXCmFfEUoElSQTITjfFy9hyQN3MznCnXr1lUJIDg3wbGrTkLCsa0ZEgxwrqFvTzzxBLcnEVERFCZFGC6/xqXGyNI0w2MEF60giIPXIaMU2YII8CF71FN5BNSvNA/4gyChvnTZvQYlHmOe+ga3jF8uR05nH3RNNdWPstJzyioJNw0GYIghNsn663e54hEyp9+V2c7LOY/zffzss8+ke/fuKting7QffPCBzJ07VwVakd2IYBwCTTBy5EgVDMU0ehmR1YwsWQQJEbjS7QiyaQjAInj6119/qSxBTIOsTBzIALIJcdCBAxQEQvGrNF6jLy1HgBBBSQSHEfQzB+xwAIS+IpMX2xcHPNjGOEBCcAvB1bvuukvtE+ZsXLMTJ06oDE6r5xEQxfwRcMS+hWlwYIQsYqvpkZGMYJrVcwieoo/oE6CPOPDS2wNBPmRgItAIWFcIquKgTwdakRGMNnj44YdVcO/7779Xmc3mbWuGQCXWL+D9EdjV0+C1OTHPD+tKB8sRsNTPIciMbfD111+rLFNsKwTqsc0RYMR2QVYsfjTRr7Hqq6f3x7ZEFjO2N4LjLVq0cHm9+3zeeOMNlXmMH3CQ0Yp9HSUwEBQHZDFjH8U+jnWKdY1l83Y96McPPvigCkJjH9XP4wcIbEcst87ANb8WfUD2Nmoi4zPs8ccfVwfxehpsVzyHvztPy4cMdqxzqz7hZvUZFSj0Z22gLh/5P+6DxP2PAlFyamZ5r4hQm8fvWV9/BhaV73/zFaGA43wcH+PcCeX63OGYHuc4OI4EXFW2cOFCda6gEwFwHO/+HkgEQOIHztE0nNdgbA4iIirainTQNi8QNELw8P3331eXqCCLFIFKfCmasw+10aNHq+CJOwTt3AcvQ9YcDiIQCNY1TQ+fTpGExAsb5f2Yl5m2COZ6W0sVgSJMi0usEcgyvw7BPWRX4ldZZDMjS1E/j1IECGIja1G3ITiGABWyUHUb1gMCkqj5ivqlyIBGoA/3MQ2eR1kE8/si6xYZimjbuXOnykjFJUDm9YvL+vE86oeiXurWrVtVO/qEoBeewzQInOJSID1/lCNA1q+n9YPsUQTs3J9Hf5A5iwxtXPavn0cwDdmvVvND5jAyga2eQ5kG8/pGH3FApfcbXMaPwCcyjDW0I7Cu1xuWxTxvbBO9XvQBtPt7o8yDbsPlVshWzWvdXbwHBse6++671QBbCFgi4InthwGydEAZ/zZr1kxlHSOzFOUmcNCJfUG/t/lvJTuRkZHy7bffqh8HUP4BpTGwb2DgNezLel4asmhxEIsfHFAmQe9TyPzFttbwWvyAk5d1gfWArAX8GIBl1EFSBGlRpxbZt3qb6R+IAPsNsiawjVHXFp8lOJjHIHj4vEEQGfs0Mi306622KfZNBG7d2/VrkGWOQHcgwvJh+bFesT8RcR+kYMLPQCoohw6fdd532FM8ZoT6eh80X7nn71eEIunD2ytC0a4TWjSc3+C41tN74GpDJDMgqcEMV+3h/BbnCQj04kpJlC7LTZISjpP1cTbOWdB/fVyreWpHG57z1K7na263Csh7akdChvsPB7ovntq97TuXiduJ+x7/ngrjM8Kb5LUiH7RFpiY+sN0HNcJjT78sIjCLTE1kxwFqBeHSawSUECR0P/DAF635yxNfYgiaIQiGgIkZgrg4iMAXov5SLF880jIr1j3TNrvAbJmYCK8zbT19GbvDesO0CMgiQGt+HS7Nxhc8Ap8IziGwixqigPsIoGH96svmEQhDSQQEKvUvw8goRXYoglkI6mEnRaAT6xfvpXdc8/vqnR9teH8ExJAFbXWAgsxZZOMiAxb9efLJJ1W/8VpsHwScdXam7rf7+5kh+IgAMC6f13AwisAjMjJRpgCvNx9A4ddwBEt1eQD9GpROQPDN6r2QnYvX6OcQnEMAXC83+t6/f3+Pdacwnfn1gMd4HdqwXfW8rLa3vg/6MYLSyEj1BKUIsD3cYd0iQIgSI8iUxjpEwNlqm+KgH8FNneWq4XIuBMPdD1CtYFrcsM7wowuyeJFp6r48q1evVpmqyPZFnWENy4BsWJSJsIJ1kF2ZFATOdZYD9i1kx6KGLkobmAPB+GEIAWLU/wUcBGOwNvw9IQsCPx7g7w5Bb8C2w48e+PED5RDwegR8MT2cPXtWfcDr/Rp0WQWUoHDf1vrvC3+PCNAHInwRYt/C5zCDtsR9kIINPwOpoBxMOem8X7J4jEqw8Md9sCgc3+TlilCcE1hNr8eP0PQVkThGxPEisnH1YMqAcwkkTuDcC1e64XwWx5BIaLDiKUkJx5pIfgAEhvFeOM/WZfQA74sbklbM457gXBHlxZCQgnM3DcfAmCfmbQ6s4nwKx7A4HzPDeaROvtCwz6FMBN4P53gazltxxSb6Z15nKOuG42icN5gHleYycTtx3+Pfky8/I3C+7hWjiGvZsqXRr18/52OHw2HEx8cbo0ePtpy+WbNmxnPPPefSNn36dCM6OtpIS0vL8f1OnTqFcLj61925c+eMDRs2qH9z4599J43qz8/1eMPzWnp6umG329W/eVW9enXj22+/VfeXLl1qFC9e3Fi+fLmRmppqjBs3zihbtqxx4sQJ9XyvXr2Ma6+91jh27Jhx9OhRo3379saDDz6ontu5c6daF5h2165dRs2aNY1Ro0ap5yZMmGDUrVtXvS45OdkYPny4ERoa6nzfqVOnGk2aNHHpFx6jHebMmWPUqlXLWL16tVrWM2fOGAsXLjT27t1rJCYmGiEhIcb333+vpl25cqVRrlw549Zbb1WPsX5q1KhhvPTSS0ZKSop6vnTp0kbbtm09rhMs9x133OF8jO17+eWXG/fff7/ap6x06dJF9XnNmjVq39m8ebNxzTXXGJdcconqrxUsQ4kSJVSf0LcXX3xRrRe93GvXrjXKly9vLF68WM0T627FihVqv4KePXsakZGRxty5c9X2mjx5shEXF2ccP35cPX/PPfe4/D24b2/AfbTlFtb3X3/9pdbvyZMnjVdffVX93Wzbtk09j3+LFSumpsM6w794jHYsC7ad+YZ956efflLbE7AOPPXr0KFDxqxZs9S02B+mTJmitineZ8mSJUbJkiXVdJhv5cqVjWnTpmWZx759+9R+8vXXX6tlwG3dunXGqlWrcr0uHnvsMaNx48bqb8Id9h3zco4ZM8Zo0KCBuo/1sGPHDrXesB3Q/8OHDxvXXXedcd9996nXY1uaX//UU08ZHTt2VP3X8Hdbu3Zty77l9XOoKMF6O3jwoMe/TSLugxTI+BlIBeWPHcec5x8jf9jgt/tgdudj/mL//v2qjziONxs4cKA6f7USHh6uzkvNcE6FcwOzpKQkY+vWrcbvv/9u9OnTR533JCQkeOzLxx9/bISFhanzCitox7rUN32cjmNSHLviprc1/tVt2bXrc1VP7eY23Y6bt+3g3q774qnd275zmbiduO/x7ymtED4jEFPx5rusyF9Xigw9jAD/6aefqgw21O5EtFvXDsJASebLUjCYFeqxzpgxQ/1ih18mkX2Ldp2xV9hKxURIZJj1pkA7ni8oyJB87733VMF7RPqxXlCbFr8QALJJUS4BpQ+QcYoanVa/0iKrEJeio6YSLsVB5iCmRzt+8YyOjla/MHgL2wPZpqgDhSxG/PqKvuCXCdRoQpYtsqOR7Yw6uzprUWeAot4qMl7xCzNqRuHy/Owg+xr91wOd4VL8lStXqvIOeA/8MoIbLl3XMJgYLnNHxidKAyCrE7/wYp/CYyu4JArrp2vXrupXGywPLvXXUMMXmaDIPkX2AjKcsX+aL1nCJU7Y57GNxo0bpzJKdaYnMo6R+YnndJmC/IJfnZApi/eqXbu2eh/U5cJ9wL+oZ4vL/LHOsAxYf2jH3xa2v/kGyODA9gRkbqPMghWsJ2x//AKGX7yw/fFe7tkd6BMyCZBpq7cZbpg31iX2CWRNY90jcwHZsvoSMG8hoxuZvihzgP1bv4fOCseym5cT6wv7JO5jPWBfxt8ZBojAc9j+WA/vvPOOej3azK/H/JBRorPdAfV50XciIiKiAhmIzHSVHxXOFaFo92Z6ZIXhnAxjZODcCxmq+NcTlATUZdis4KpFHG+ab4D+65s+5sa/3rTrKxQ9tZvbdDtu3raDe7vui6d2b/vOZeJ24r7Hv6fQQvqM8IYNkVsp4lAnE5cV4zIIXKKNQBa+nAA1LxF01DVC8YWFIN/nn3+u0pkRGEOAEG06UJkdBHgQNNL1JN3LIyAQjKBMbi/b2X/ynJywKJGAgG18XLTzsa6NiS9nbzcyeQeXBmHQMQzSlRcIMqOuFGqaogxCQcDAWdhPUdvVVwpqH8TgCfhbrl+/fr7NMxAhaIxBKjDYHQ6y3V3I51BRgSA+Sm4g2M3yCMR9kIINPwOpoCzelCB9Plmt7j99XV3pf20dv9wHszsf8yc4H23ZsqVKkNHrDeW6+vXrZzkQGZJQUPLAPEgwxtXAQM+6RJcVJEggAcU8FogZkk6QyIQEDHNJr6K+fomIijJvP2uLdE1bDV98uFlBfUgzBJowQBZu/gSBWXNwlgqfOSM7L3DwhWxl1EY1Z/6SdxYtWsRV5QVk9+KqAiIiIqICy7T1cBUg5e6KUFx92KJFCxW8RdKF+xWhuJIKiSOAwbFxFeTbb78tN910k7oyC2M1ICkE8FokGt1yyy3qqjEEYXH1GRKR9LgRGMzsjz/+kPbt26ur2fAYg5Ddd999XgVsiYjIvwRE0JbIX6CcAxERERFRUZPC8gj5CkkcR44ckaFDhzqvCMUgzXqwMZTvMmcqI6t2+vTpqsTYkCFD1CBcs2fPdpZSw+W0GMQMZQERsEWyyGWXXaYSRlCWDnAVFoK9yLpFeTVceYWgrTeD/hIRkf9h0JaoCNFlPoiIiIiI8hMzbX17RSggY1ZnzbpD2atZs2Zl+37NmjVT43IQEVFg4HUvREREREREQc7uMJVHmNtf5Jc3fNofIiKiYMegLRERERERUZBzybS1pYosGcnALRERkQ8xaFsADMMoiNkSEfHzh4iIiAqEfcti5/0ISc24w8AtERGRz7CmbT4KDw8Xm82mCs6XK1dO3S+IgHBaWpqEhYUVyPyJuA8WXfh8wOcPPhvweURERETklV/eEPv2/0TkLvUwQtIyn0PgFto+x5VJRERUiBi0zUcY0bNKlSqyb98+2bVrlxRUUCY9PV2NNMqgLfkC90H/hs8FfA7h84iIiIjIK0tGSarRNWumrel5Bm2JiIgKF4O2+Sw2Nlbq1KkjqaluBzr5BAHbY8eOSZkyZVTglqiwcR/0b8iwZcCWiIiIcqX9EElZsN21pq3b80RERFS4GLQtAAiYFFTQBAEzBGWioqIYtCWf4D5IREREFGDaPif2DZ+J7Jas5RHav8AsWyIiIh9gqiYREREREVGQs1dsmrU8AgO2REREPsOgLRERERERUZCzp6U770ci07ZmW2bYEhER+RCDtkREREREREHO7kh3zbStc71P+0NERBTsGLQlIiIiIiIKcuZM2whbmkh4lE/7Q0REFOwYtCUiIiIiIgpyLkFbZNqGMWhLRETkSwzaEhERERERBTlzeYRw1LRl0JaIiMinGLQlIiIiIiIKcikumbYI2kb6tD9ERETBjkFbIiIiIiKiIOdaHoGZtkRERL7GoC0REREREVGQSz1fHgGlEUJsBjNtiYiIfIxBWyIiIiIioiCnM23VIGQQFu3bDhEREQU5Bm2JiIiIiIiCnB6ITJVGANa0JSIi8ikGbYmIiIiIiIJc1kzbKN92iIiIKMgxaEtERERERBTknEFbGzNtiYiI/AGDtkREREREREGOmbZERET+hUFbIiIiIiKiIJficC+PEOnbDhEREQU5Bm2JiIiIiIiCmGEYpkzb8+URwqN92ykiIqIgx6AtERERERFREEt1GM77kTrTNjTCdx0iIiIiBm2JiIiIiIiCmf18aQQItzlEwqJEbDaf9omIiCjYMdOWiIiIiIgoiOnSCM6atqxnS0RE5HMM2hIREREREQWxVId70DbKp/0hIiIiBm2JiIiIiIiCmmumbRozbYmIiPwAM22JiIiIiIiCWEqW8gjRPu0PERERMWhLREREREQU1FwybW3MtCUiIvIHzLQlIiIiIiIKYnZTTdtI1rQlIiLyCwzaEhERERERBTHWtCUiIvI/DNoSEREREREFMXuWmrZRPu0PEezfv1969eolFSpUkKioKGnQoIG88847kp6eub96kpycLEOHDpXatWtLZGSkVKlSRfr37y8nT550me6zzz6Trl27Sq1atSQmJkbKlSsnV111lcyePdtluk8++URsNlu2N61du3bZTodlIiLyRphXUxEREREREVFAsjsczvusaUv+4PDhw9KmTRvZs2ePs23jxo3y9NNPy5YtW+SDDz7w+FrDMOT222+XH3/80SUA/N5778myZcvk999/V0FgGDVqlGzevNk53dmzZ2X58uXq9sYbb8jAgQO96i8Cvt6KjY31eloiCm7MtCUiIiIiIgpiWTJtw6N92p9AMWHCBKlRo4YKELZq1UpWrVqV7fQzZ86UevXqqekvueQSmTdvnsvzL7/8snoeAcJSpUpJhw4d5I8//nCZ5vjx49K9e3cpUaKExMXFyQMPPCBJSUlS1GBZdcD2448/VkHczp07q8cTJ07Mdl1iPeqA7UMPPSRHjx6VV155RT1ev369jBs3zjltyZIl1Xtt27ZNrScEdrWRI0dKWlqauo/sWASDzbcVK1Y4p8U615YuXZplWvTDaloiouwwaEtERERERBTEUkxB23BJEwmL9Gl/AsFXX32lskKHDRsma9eulSZNmkjHjh1V8NEKAoDdunVTQdZ169ZJly5d1O3ff/91TlO3bl0ZP368/PPPPyoTFAHh66+/Xo4cOeISEPzvv/9k4cKFMnfuXPn1119dAoZFAcofTJ8+Xd2/+OKLpU+fPqpswZAhQ5zTfPHFFx5fP23aNOf94cOHS5kyZWTQoEHObFjza3/++We1jVBGAc/369dPGjVqpJ47deqUy7p1Z872feyxxzxOl5iY6HzPpk2bSuvWrXNcB0REwKAtERERERFREMs6EBlr2l6oMWPGSN++faV3796qFiuyQ4sVKyZTpkyxnP7dd9+VTp06qcvx69evLyNGjJBmzZqpIK127733quxa1F9t2LCheg8EBP/++29n+YD58+fLRx99pDJ7r7zySpU5OmPGDDlw4IAUFTt27FABU0BmsWa+j0C4J/o5ZNFWrFhR3Q8PD1eBWUBQOyUlRd0vXry4ZT1cQMYzAr5Wjh07pjJ6AWUcEJT35PPPP5czZ86o+48++mg2S05E5IpBWyIiIiIioiBmd2QGbSM5ENmFr0+7XdasWaMCrFpISIh6jHqqVtBunh6QmetperzH5MmTVWBSBwwxLUoitGjRwjkd5on3di+j4M/M2a0o82B131PGsvn15unNjx0Ohyoj4SlLF6US4L777pOIiAjL6aZOneoM7maXZQsI2AO2FQLvRETe4kBkREREREREQSzVnGlrY3mEC4UaqggMVqhQwaUdjzdt2mT5mkOHDllOj3YzlDy455571IBZlSpVUmUQypYt65xH+fLlXaYPCwuT0qVLZ5mPhoxTnXUKyNwF9B83sNlsKvCLsgWoz6p5akcbnvPUrudrbgdMr9/bTD/W9WX1e5un030xv5+ep+6jnj/o6cx9/OGHH+TBBx9U91FTGAOR6fcwLxNukyZNUu0o23DHHXd4XKZffvnFWeLi/vvvV9nWeD9zXyA0NDRLu3mZrNq93R4FtZ1yaucycTtx3xOPf0/un1WeMGgbIPafPCcnztiztJeKiZD4OA4kQEREREREOWfaqoHIWB7Bb7Vv314NpoXA8Icffih33XWXyqJ1D9Z6a/To0aruq7vt27dLbGysM0MUAeKEhARn2QJAsBi3/fv3Oy//B5QkQMbvrl27VEawVqVKFTVPzNsc4KtZs6YKLm/dulU9Ns/rxIkTznbzeyMQrdsBGbEoG4FpMEgb+orXom9Vq1ZVmbUoaaCDibpfepkQ/H7mmWckNTVVlbP45JNP1HO4uS/T4sWLXbJxIyMjZcuWLZbL9OabbzrbbrjhBjUNgs87d+50CeqgXjGWe9++fZbLZA66o/auXibsB1phbyetTp06XCZuJ+57FXP39+Sp9Io7Bm0DJGB7zVtLXQYQ0CLDQmTxs+0YuCUiIiIiIkusaZu/ECBDYFAH/DQ81jVW3aHdm+kRsLvooovU7fLLL1cBs48//lgGDx6spnUvG4AAIYJ7nt4Xr8OAaeZMWwQEUf9VlxNAlpjO/DUHh3V7fHx8lkxNwEBpVu26tqx7O5ZFP4/gx8mTJ1WAULebS0WgBIRuN/cFgcvLLrtMZSQnJSWp7aBr1+qAKOoBV6tWzblMS5YsUesA6woDhS1YsEAFhT0t0/fff+9se+KJJzwuE7YFBjqDdu3aqXIXaEcw1tx387b1tEzm2ru6HX1EgNq9vbC2k7mdy8TtxH0vJFd/T/h88gZr2gYAZNhaBWwB7VYZuERERERERFmDtsy0vVAIYDVv3lwWLVrkbEOGFR63bt3a8jVoN08PyP70NL15vrq8AaZFoBP1dDVkhWIaDExmBVmiCM6ab4Bgp77poAP+9aZdBwk9tZvbdDtu+jEGDevWrZuadvPmzfLZZ5+pwPPrr7/u7DcyXDEtAiHI/rzmmmtUO+aDMgQasoj1a3WWaffu3Z19Rw3bHj16qIAt1h8CuAi6e+o7BnRDGQWdOYvsU0/LhEHndMbd448/brms+qb7brV+PbV7uz0Kajvl1M5l4nbivhea7d+TNxi0JSIiIiIiCmIp5vIINgRtI33an0CAzE2UL/j0009l48aN8uijj6qgYe/evdXzCBQiy1UbMGCAzJ8/X95++21V9/bll1+W1atXS79+/dTzeO2QIUNk5cqVsnv3bhWY7dOnj7rk/c4771TT1K9fXzp16iR9+/aVVatWyW+//aZejxq4lStXlqIEy6+zYbGcyBxF9iw88sgj0rJlS4+vxfpAQBUwWBsuQx42bJh6fOmll0r//v2d0w4dOtRZa1IP5KaDkLgtXbrUZd6Yn54+uwHIECjHtIB136VLlzyvCyIKXgzaEhERERERBTGWR8h/d999t7z11lsqKIhAIerQIiirBxvbs2ePHDx40Dl9mzZtZPr06SrQ16RJE/n6669l9uzZ0qhRI/U8MrMQzO3atauqf3rzzTerGq3Lli1Tl/trX3zxhdSrV0+uvfZaufHGG+XKK690Bg+LEgRpV6xYoYLbGOwL2csISo8ZM0YmTJiQ7WsRbJ01a5a89NJLKhMWmbsoDYBSBsikjYqKylOfkI370UcfqfuYLwLknvz444+qtiUgiI5sYCKi3LIZ3g5ZRs4aP6gpg8Le+tKRwoRf7FAbB19iOtX83/2npPN7yz2+Zu4TV0qj+JKF2EsKZFb7IBH3QQom/Bwk7n8UaF749h/54o896v7ciMHS6O5XRBp28cvPQF+fjwU6rl8iIv/5rGXEhYiIiIiIKIiZM20jJU0kLG+ZiERERJR/GLQNAKViIiQyzHpToh3PExERERERWbE73AYiC2fQloiIyNdYWCUAxMdFy+Jn28mc9fvl9fmbVdsDV9aQ25pWUQFbPE9ERERERJRTpm24jZm2RERE/oBB2wCBwGzdCsWdj+OiI1jHloiIiIiI8jAQWSTXGhERkY+xPEIAiQoPdd4/l+rwaV+IiIiIiKiIlkdgTVsiIiKfY9A2QIO2yamZB15ERERERESeMNOWiIjI/zBoG0CimWlLREREREQXlGnLmrZERET+ICCCthMmTJAaNWpIVFSUtGrVSlatWpXt9CdPnpTHH39cKlWqJJGRkVK3bl2ZN2+eFHXREeZMW5ZHICIiIiIi7zNtwyVNQmwGyyMQERH5gSI/ENlXX30lTz/9tEycOFEFbMeOHSsdO3aUzZs3S/ny5bNMb7fb5brrrlPPff311xIfHy+7d++WuLg4CahMWzuDtkRERERE5H3QVtWzBda0JSIi8rkiH7QdM2aM9O3bV3r37q0eI3j7ww8/yJQpU2TQoEFZpkf78ePHZcWKFRIeHq7akKUbCFgegYiIiIiI8loeQZVGgLBIrkQiIiIfK9JBW2TNrlmzRgYPHuxsCwkJkQ4dOsjvv/9u+Zo5c+ZI69atVXmE7777TsqVKyf33nuvPP/88xIampmpqqWkpKiblpiYqP5NT09Xt8KG9zQMw/K9I0xb85w9zSf9o8CX3T5IxH2QggE/B4n7HwVypq0REi6G2PBh55efgTwGJSKiYFGkg7ZHjx4Vh8MhFSpUcGnH402bNlm+ZseOHbJ48WLp3r27qmO7bds2eeyxxyQ1NVWGDRuWZfrRo0fL8OHDs7QfOXJEkpOTxRcHKadOnVIHSghQm6k2HF8ZIqfPpcjhw4cLvX8U+LLbB4m4D1Iw4Ocgcf+jQJNsz8iwjbCliREake15hK8/A0+fPl3o70lEROQLRTpomxc4yEA928mTJ6vM2ubNm8v+/fvlzTfftAzaIosXNXPNmbZVq1ZVGbolSpTwSf9tNpt6f6uDJJRIOGN3SJoRYlnTl6ig90GigsZ9kHyN+yBx/6NAk3o+aRaZtrbw6GzPI3z9GYjBp4mIiIJBkQ7ali1bVgVeExISXNrxuGLFipavqVSpkqplay6FUL9+fTl06JAqtxAREeEyfWRkpLq5wwGKrwJWOEjy9P7RERlB23OpDgbUyCf7IFFh4D5IvsZ9kLj/USDWtA2XNBW0teVwjOfLz0AefxIRUbAo0kFbBFiRKbto0SLp0qWL85dfPO7Xr5/la6644gqZPn26mk5/4W/ZskUFc90DtkVRVHhGMDo51eHrrhARERERkZ9DmQNd0zYSA5FxEDK6UC+X5DosDC+f4nomCnBFPk0OpQs+/PBD+fTTT2Xjxo3y6KOPypkzZ6R3797q+R49ergMVIbnjx8/LgMGDFDB2h9++EFGjRqlBiYLBCiPAOfsDNoSEREREVH20jAghmSWR5Awlh8gIiLyB0U60xbuvvtuNSjY0KFDVYmDSy+9VObPn+8cnGzPnj0ul9CgHu1PP/0kTz31lDRu3Fji4+NVAPf555+XQIDyCIDyCPjVHJcuERERERERWdFZtnogMmbaEhER+YciH7QFlELwVA5h6dKlWdpat24tK1eulEAUFZYRtMUP5qhNFXn+MRERERERUbZBW2baEhER+Y0iXx6BXEWdz7SFZD0MLBERERERUTaDkGUGbbMOwkxERESFj0HbABMdnrlJORgZERERERF5n2mL8gjRXGFERER+gEHbAKMHIgMORkZERERERNlJyVIegZm2RERE/oBB2wCjByLTg5ERERERERF5PxBZFFcWERGRH2DQNsBEmTNtGbQlIiIiIiIva9pGMtOWiIjIbzBoG8DlEZLtzLQlIiIiIqLc1LRlpi0REZE/YNA2wLjUtGWmLREREREReRm0NRIN2fHmUtnUuInsuLWLJC5YwHVHRETkIwzaBhjWtCUiIiIiIm/ZHZlX553bEyEpB06JYbdLypYtsr//AAZuiYiIfIRB20CuacvyCERERERElA17muG8H56emvmEYYjYbHL0/fe5/oiIiHyAQdtArmnL8ghEREREROTlQGTh6W5jYhiG2Hfs5PojIiLyAQZtAwzLIxARERERUV5q2oY7TJm2YLNJRK1aXJlEREQ+wKBtIA9EZs88ACMiIiIiIso2aGuRaVv28ce40oiIiHyAQdsAExmeuUnPsTwCERERERFlw56WGagtVTHJeT+0XDmJf2+clLjuOq4/IiIiH2DQNsCwpi0REREREeWlpm1MdIrzftlHHmbAloiIyIcYtA3gmrYciIyIiIiIiLwtjxBmyroNiS7GFUdERORDDNoGck1blkcgIiIiIiJvg7aONOf9kGIM2hIREfkSg7YBPRCZ20ACREREREREJikOD5m2MQzaXqgJEyZIjRo1JCoqSlq1aiWrVq3KdvqZM2dKvXr11PSXXHKJzJs3z/lcamqqPP/886o9JiZGKleuLD169JADBw64zAPvZ7PZXG6vvfYa93kioiKIQdsAE2Uqj8BMWyIiIiIi8jrT1nSlXkh0NFfcBfjqq6/k6aeflmHDhsnatWulSZMm0rFjRzl8+LDl9CtWrJBu3brJAw88IOvWrZMuXbqo27///queP3v2rJrPSy+9pP6dNWuWbN68WW655ZYs83rllVfk4MGDztsTTzzBbUlEVAQxaBtgOBAZERERERFdcE1blke4IGPGjJG+fftK7969pUGDBjJx4kQpVqyYTJkyxXL6d999Vzp16iQDBw6U+vXry4gRI6RZs2Yyfvx49XzJkiVl4cKFctddd8nFF18sl19+uXpuzZo1smfPHpd5FS9eXCpWrOi8ITOXiIiKHgZtA0x4aIiEhdjUfWbaEhERERGRt0HbUAZt84XdblfB1A4dOjjbQkJC1OPff//d8jVoN08PyMz1ND2cOnVKlT+Ii4tzaUc5hDJlykjTpk3lzTfflLS0zFrFRERUdIT5ugNUMNm2p1PSWNOWiIiIiIiyleqwLo9gY6Ztnh09elQcDodUqFDBpR2PN23aZPmaQ4cOWU6PdivJycmqxi1KKpQoUcLZ3r9/f5WhW7p0aVVyYfDgwapEAjJ/raSkpKiblpiYqP5F/3EDBIYRdE5PTxfDMJzTemoPEZvYxJB0W6gYYstsNxyq3WFzDUOgXdT07u0INtvUfMxCjTQ1X3M75ov5eGpPlxAxbJk5azbDkBBBe6gYtsw+2gxMme6x7361TF5uD4/bKSREPeepXW9/cztgem/aQ0ND1XzN7bovntq5TNxOwbLvGaZpssOgbYDWtUXQNjnVdcclIiIiIiIys3sI2rI8gv/CoGQok4CT/g8++MDlOdTR1Ro3biwRERHy8MMPy+jRoyUyMjLLvNA+fPjwLO3bt2+X2NhYZ2mGSpUqSUJCgsru1cqWLatu+/fvlzNnzjjbK0ZXk7hzu2VXmXZiD8sMKFc5/pvE2g/L9vKdJN0W7myvefRnCXOck60VbnbpQ52E7yUtNFp2ljVlLBupUjdhrpyJKCf7Sl/hbI9IS5RaRxfJqehqcqhkM2d7TEqCVD2xQo7H1pWjsfWd7SXP7pJKieskoURjOVWsRuYyJW2UskmbZH9cKzkTmRlEr3hqrf8t0/Hj6gcC5zLldjtVrKiytHft2qWyw53LVKWK2vbYB8zBrZo1a0pYWJhs3brVdZnq1FHZ3Dt37sxcppAQqVu3rnq/ffv2ZS5TRITUqlVL9c/8gwRKeFStWpXLxO0UNPtemTJlxBs2w9vwLjl/ecTGw0Yz/6JZWLCRUby+fPnyzl8V3F39xhLZc/yslI6JkLUvXVfofaTA5s0+SMR9kAIZPweJ+x8Fkgc//VN+3pgxONa3K4dI1KGMk816//0rtlDXbEB/+Az09fmYN3DCjvq1X3/9tRpMTOvZs6ecPHlSvvvuuyyvqVatmgq4Pvnkk842DGI2e/Zs+euvv7IEbHfs2CGLFy/O8cT/v//+k0aNGqkMX9TC9SbTVgcw9PrNdcbZiDL+l5UaiJm2Q08w05bZw0GRlRoSgMuUlJSkgrw5fZcx0zaAByM7Z3fdKYiIiIiIiMxSzDVtz58/2KKiLAO25B1kdDVv3lwWLVrkDNriRB6P+/XrZ/ma1q1bq+fNQVsMPIZ294Atss2WLFniVabW+vXrVdAAQXYryL61ysBF0AM3M09B+qzthilwmRUClN63G5bttly2IxArRtYrURG4Pd9d13YPfferZfJ6e+St3X3756UdwarctHOZuJ2CZd+zmX4syg6DtgFaHkEPRIYIv7c7AxERERERBe9AZGFp54Nt0dE+7FFgQNYsMmtbtGghLVu2lLFjx6pLaXv37q2e79Gjh8THx6vyBDBgwABp27atvP3223LTTTfJjBkzZPXq1TJ58mRnwPaOO+6QtWvXyty5c1XWlr7EF/VrESjGoGV//PGHtG/fXooXL64eP/XUU3LfffdJqVKlfLg2iIgoLxi0DUBRYSEuv5xHnc+8JSIiIiIi8lTTNsSerpIOWc/2wt19991y5MgRGTp0qAquXnrppTJ//nznYGN79uxxychq06aNTJ8+XV588UUZMmSIqtWI0ggobQConzhnzhx1H/MyQ9Ztu3btVMYsgr0vv/yyKnmAOpAI2prr3BIRUdHBoG0Aij6faQvJqQ4GbYmIiIiIKNtM23BJE/wHDNrmD5RC8FQOYenSpVna7rzzTnWzUqNGjRxHG2/WrJmsXLkyj70lIiJ/w1GEArimrS6RQERERERElF3QNkJSRZfNtBVjeQQiIiJfY9A20IO2HIyMiIiIiIhyKI8QodNsmWlLRETkFxi0DeCByICZtkRERERE5Ikz09ZIdbaFFIvhCiMiIvIx1rQN8Exb1LQlIiIiIiLKvqZt5nlDsNW0PXv2rPz444/y33//yY033igtWrTwdZeIiIiYaRv45REyR4MlIiIiIiIyszsygrXh5kzb6MCvaXv8+HH55JNP5NZbb5Vy5crJo48+Kj///LO0adNGqlatqgYQW7x4sTjOrx8iIqLCxvIIASia5RGIiIiIiChX5RGCo6bt+vXrpV27dlKxYkUZPny41KpVS2XZHjp0SH799Vc5fPiwjBo1Sg4ePCi33HKLlC9fXnr27OnrbhMRURBieYQAFGXOtGV5BCIiIiIismAYhtjTDHU/PEiCtidOnJC2bdvKO++8I02bNs3yfFxcnNx///3qlpycLD/99JPMnj3bJ30lIqLgxqBtoNe0tbtdzvPLGyJLRom0HyLS9rnC7xwREREREfmFtHRDMkK27kHbwC2P0L59e3XzRlRUlCqfgBsREVFhY3mEABQdEWKdaasCtiPxm3rGv3hMRERERERBXRoBItIzg7a2AM609aRHjx7q388//1z+/fdf1rIlIiKfY6ZtoA9EpoO2zoCtiX7MjFsiIiIioqAO2oanB0d5BE9Q3xZWrVolkyZNki1btkj16tVVCYVLL71UHnvsMV93kYiIggyDtoFe0xblEawCthoDt0REREREQcnuCL6gbe/evVVWrXuJhJo1a6p/33vvPWe9323btsm6devUjYiIqLCxPEKAB22TkWmLGrbZyel5IiIiIiIKnkzb6MAN2n766afSqVMnmTZtWrbT2Ww2qVOnjtx1110yevToQusfERGRxqBtoA9EhqAtBh3LTk7PExERERFRwEkxB20dmWNhhMQEbtAWqlWrJj179pS33nrL4zSrV6+WBg0aFGq/iIiIzBi0DUDREW41bVGz9sqnrSdu/wJr2hIRERERBXmmbZgjOMojwNSpU1UG7fPPPy/PPPOM5TQOh0M2b95c6H0jIiLSWNM24AciO38gVuMKkeVjXCdkwJaIiIiIKGi51LQ1B22joyWQRUREyJdffikVKlSQd955RxISEuSTTz6RsDCeHhMRkf/gt1IwDEQG+1a7TlS8MjNsiYiIiIiCWKopaBuW7giaTFtt7NixUrFiRRkyZIgcPXpUvvnmG4mJifF1t4iIiBSWRwjw8giqpi3sXeU6kY2bnoiIiIgomLmUR0gLvqAtDBo0SKZMmSKLFy+W9u3bq+AtERGRP2DkLgBFhYW41rRNTxfZ75Zpm3Qoo52IiIiIiIKSa03bzKCtLcDLI7jr1auXzJo1SzZs2CBXXHGF7N6929ddIiIiYtA2EIWFhkhEaEhmeYRj20SST7lOlJ4mcu64bzpIREREREQ+l2IK2oanpTkDtraQ4Mvt6dy5syxcuFBl2rZp00bWrVvn6y4REVGQC75v4yARFR6SWR5h35+mZ2yZd08fKvyOERERERGR3w1EpssjBHpphAMHDkjDhg0tn2vdurUsX75cQkNDpV+/foXeNyIiIjMGbQO8ru0596Bt1VauJRKIiIiIiCgouda0TQuKoC0GHstusLH69evLihUrpF69eoXaLyIiIncM2gao6HBz0HZ15uBjF3fKnOh0go96R0REREREfhW0Tc24HxJk9WytVKlSRVatWiU///yzr7tCRERBLMzXHaCCEaWDtqhpe/i/jMbyDUVK186ciJm2RERERERBy36+JEIwZdp648SJE+rf9u3b+7orREQUxJhpG+DlETC4QHq6kdFY9TKR4hUzJ2KmLRERERFR0DLXtA1PD46atp4kJCRIr169pGTJkqpEAsojxMXFqbZDh1hWjoiICh+DtgFeHgGSJSLjTpXLRGIrZE50+qAPekZERERERP5WHiE8PSPT1lYsOMsjdO/eXZo1a6YGKkOQFkHc/fv3S9OmTdVzREREhY1B2wAvj5Bt0DaJNW2JiIiIiIKVS9DWEdzlEfbt2yf9+/d3GaQM9wcMGKCeIyIiKnJB27Nnz8o333wjr7zyiqxefX7AK/KrTNtzCNpGxWXUsw2PEokulfHEaV7mQ0REREQUrOwOIzNoawR3eYQSJUrI3Llzs7TPmTNHPUdERFQkgrbHjx+XTz75RG699VYpV66cPProo2pkzTZt2kjVqlWlX79+snjxYnE4MgvbF6QJEyZIjRo1JCoqSlq1aqVG+vTGjBkzxGazSZcuXSSQM23PGZEiVVqIhJzf3LEVMzNtjcwDNSIiIiIiCvZM28xM02Dy2WefyVtvvSVVqlSR1q1bqxvujxkzRj799FNfd4+IiIJQWG4mXr9+vTz55JOyYsUKiY+PV8HOH3/8Ua688koJCQmRkydPyvfffy+zZ8+WW265RSIjI6Vz584F+iX31VdfydNPPy0TJ05UAduxY8dKx44dZfPmzVK+fHmPr9u1a5c8++yzctVVV0kgio4IcS2PgNIIWvEKIkc2iqQliySfEomO800niYiIiIjIZ+ymJBtd0zYkOrBr2vbu3Vt69Ogh7du3d2nHwGNLly6Vw4cPO8shIGib3TklERGR32TanjhxQtq2bSt//PGH7Ny5U9555x25+uqrVcAWMLrm/fffr8olHD16VKZMmeJ8rqDgl8++ffuqL98GDRqo4G2xYsXUe3uCDGAUkx8+fLjUqlVLAr88wvlMW01n2gLr2hIRERERBSWrgcgCvTwCEoo6deok06ZNs3weQVoMSIYbA7ZERFRkMm3xa6T7L5KeoFQByifgVlDsdrusWbNGBg8e7GxDkLhDhw7y+++/e3wd6u/iC/iBBx6QZcuWZfseKSkp6qYlJiaqf9PT09WtsOE9DcPI8b2jwjKD5eeMCEmv3BwvVo9tseXFpueXeFCkTJ0C7TMFFm/3QSLugxSo+DlI3P8oUKRYBG1t0dHZHuf5+jMwP963WrVq0rNnTzl06JC6+tIKxmtBRu6GDRsu+P2IiIgKPGjrCb7MUAPo888/l6ZNm0r9+vUlNDQz07OgIJsXWbMVKlRwacfjTZs2Wb5m+fLl8vHHH6tSD94YPXq0ysh1d+TIEUlOThZfHKScOnVKHShll8XsSD7tvH8mtrocTkwRSTysHheTGNGl9BP3b5bkmHoF3m8KHN7ug0TcBylQ8XOQuP9RoDh95myWoO3ptFSxH844b/DHz8DTpzPPc/Jq6tSpalyU559/Xg4ePChvv/12lmlwnomSe0REREU6aKuDmhgAbNKkSbJlyxapXr26CuBeeuml8thjj4k/wBc8yjd8+OGHUrZsWa9egyxe1Mw1Z9pisDUMwOaLUURxkITB0/D+2R0klQ3Z6LyfUqa+66U9lTIza0uEnJMSrNNEBbAPEhUU7oPka9wHifsfBQpb6F7n/fDz9W3jKlaU4tmcH/j6MxBXdF6oiIgI+fLLL1WyD0r+JSQkqIG2w8Ly5fSYiIgoX+TLt1LNmjXVv++99576F7+6btu2TdatW6duBQWBV2T04kvWDI8rVjTVbT1v+/btagCym2++OcvlNfiCxi+ptWvXdnkNBlPDzR0OUHwVsMJBUk7vXyxpt4iUU/eTS9Z2nbZEJefdkKTDWJiC7TAFHG/2QSLugxTI+DlI3P8oENgdWcsjhMbE5HiM58vPwPx8TwxijfPGIUOGqKs4MTZLTExMvs2fiIjoQuTqGw+DfS1ZsiTH6fAlXqdOHbnrrrtUeYGCgl9ImzdvLosWLXIJwuJx69ats0yPEUH/+ecfVRpB32655RZVpxf3kUEbKKJPbXfePxdb3fXJWFM5iaRDhdgrIiIiIiLyF8E4EJm7QYMGqUGsFy9erM4LEbwlIiIqckHbnEba9AWULkC5A/Rt48aN8uijj8qZM2dUgFnX29UDleFSmkaNGrnc4uLipHjx4uo+gsCBIupEZv2lc1EZGbdOxU1ZyKdds5SJiIiIiCg42FMzArUQlu4IyqAt9OrVS2bNmqUGHbviiitk925ctXjhUDe3Ro0a6jy0VatWqpxgdmbOnKkSjTD9JZdcIvPmzXM+l5qaqmrwoh3ZwJUrV1bnugcOHHCZx/Hjx6V79+6qlB/OdTH4dlJSUr4sDxERFa6QvI60+dZbb3mcBiNtNmjQQArD3XffrfoydOhQVT8XGbPz5893Dk62Z88eVVw+qCQekOizmV/eyaluI6xGxIhEFM+4z0xbIiIiIqKgZE/LCNSGpadJiBhBG7SFzp07y8KFC1WmbZs2bS64zN9XX32lEoyGDRsma9eulSZNmkjHjh3lsIdB3lasWCHdunVTQVa8d5cuXdTt33//Vc+fPXtWzeell15S/yLIjPJ+uHLUDAHb//77Ty3L3Llz5ddff5WHHnrogpaFiIiKSE1bfxxps1+/fupmZenSpdm+FgXnA86+1RJtszsfnkvNOBhzUbyCyLHTzLQlIiIiIgpSqeeDtuFGZsZtoAdtkZmKKy2toMTe8uXLVXDV0/mlt8aMGSN9+/Z1XgE6ceJE+eGHH1QpBpRkcPfuu++qq1oHDhyoHo8YMUIFXsePH69eW7JkSfXYDM+1bNlSJSohuQpXniKB6c8//5QWLVo4x5258cYbVaITsnOJiCiAg7YcabMI2LdKosTuOdMWYiuKHNsmYj8tkpIkEhlbuH0kIiIiIiK/qGkbfr40AoRER0sgsxqw2qx+/foq6xUBVARB88Jut8uaNWucZfr0AGodOnSQ33//3fI1aEdmrhmCx7Nnz/b4PqdOnVLjyaAMgp4H7uuALeA98d5//PGH3HbbbVnmkZKSom5aYmKiMxELN/PAcxg/BoOOa57aQ8QmNjEk3RYqhtgy2w2HanfYXMMQaBc1vXs7fkywqfmYhRppar7mdswX8/HUno5cclvmhcY2w5AQQXuoGLbMPtoMTJnuse9+tUxebg+P2ykkRD3nqV1vf3O7eTD3nNoxaDzma27XffHUzmXidgqWfc8wTZOvQVuNI236eaatpOSQaWs6WElKYNCWiIiIiCjI2B06aHs+09ZmE1tUlAS7KlWqqPqzCHTmBUos4ARdl+zT8HjTpk2Wrzl06JDl9Gi3kpycrK5+RUkF1K/V8yhfvrzLdGFhYVK6dGmP88HA4cOHD8/Svn37domNzUjsQZZvpUqVJCEhQQWKtbJly6rb/v371bgyWsXoahJ3brfsKtNO7GEZfYMqx3+TWPth2V6+k6Tbwp3tNY/+LGGOc7K1ws0ufaiT8L2khUbLzrIdnG0hRqrUTZgrZyLKyb7SVzjbI9ISpdbRRXIqupocKtnM2R6TkiBVT6yQ47F15WhsfWd7ybO7pFLiOkko0VhOFauRuUxJG6Vs0ibZH9dKzkRmbo+Kp9b63zIdP+4ycF6ut1PFiirIv2vXLvVDg3OZqlRR2x77gDm4VbNmTbU/bd261XWZ6tSRtLQ02blzZ+YyhYRI3bp11fvt27cvc5kiIqRWrVqqf+Z9EnWaMTA8l4nbKVj2vTJlykiBBm0Bl3WgY6iRg5E2USgdnScfcqSKHFgnUbZY74O2pw+JlKldSB0kIiIiIiL/yrRNc2bZ2s5nLgWqZcuWqYAssk5xAu9JsWLFpG3btqrc3rfffqvKF/gLDEp21113qUytDz744ILmhWxgc4YvMm0RwKhdu7YzGIwsMR1ENgeFdXt8fLxrZtm5PerfGseWZslKhdqH51tmpSKg6dqeJhFpSVnaIcZ+xKUd2adQ8tweKZ68P0t76aQtUurMtsz28/2tkPi3lD/9j6k9428i/uQfln33q2UqXVpKlSqV2Z7b7XT+bx2D5Vm1Yx9w6fv5dgTK3NsREHNvV8sUE+PSrvuCgJi5TIlu5zJxOwXLvpfk5QCRFxS01SNtIlB7zz33qJE2FyxYcKGzpAuR8K9IWrJES+avfMl2i6BtrOlXXA5GRkREREQUdFIchkvQ1hYT2PVsISoqSqZPny7PPfecNGzYUAVvccOg1oBSAT/99JMK1GIgLwwAhjIFuYHzY1yeiwwtMzz2VJ4B7d5MrwO2u3fvlsWLFzsDq3oe7gOdIQsNGWSe3jcyMlLd3KH/uJnp4IO7rO2GS0Azy7xNNZRzbjcs2225bEfJAzkfkHVtd+juurZ76LtfLZPX2yNv7e7bPy/tCHDlpp3LxO0ULPuezVSWJTsh/jjSJl2AfavVP9GmmrY5Z9q6HhwQEREREVHgs+ug7flaeyHRgR+0veyyy1S92R07dsiDDz4ov/76q2pD1i3OaxFwxeBhKG8wefJkdY47a9asXL0HMr+aN28uixYtcrbhslg8xmBnVtBunh5wjm2eXgdscYnwzz//nOXyWkx78uRJtXwaArt471atWuVqGYiIyPfC/HGkTboA+/5U/0TlFLRlpi0RERERUdDC5Zv6grwwx/nyCMUCP2irVa9eXfr3769ux44dk++++042bNggTz31lLRr185jRpe3UHKgZ8+ealCwli1bqjFhUP8QAWHo0aOHurwWNWVhwIABqhzD22+/LTfddJPMmDFDVq9erQLHOmB7xx13yNq1a1UGMILKui4jLutFoBiDqGEAtb59+8rEiRPVa3BujqtiK1eufMHrjIiI/DhoWxgjbdIF2ppRniIkNFQiw0IkJS1dzlmVR2CmLRERERFR0EpLN5xXhYcHYdDWDBmrffr0ydd53n333XLkyBEZOnSoCq6i/ML8+fOdg43t2bPH5TJaXLGKsg0vvviiDBkyRNVinD17tjRq1Eg9j0Fv5syZo+7rUg7akiVLVKAZvvjiCxWovfbaa9X8u3btKuPGjcvXZSMiosJxwTVtrYr94jKOzZs35/esKScLh4mcO5FxPz1Nom12SZEwSc4p0/b0Qa5bIiIiIqIgHITMfSAyyj8Innq6ChUDnLm788471c2K++A2niDrFsFfIiIq+vKlpi0KpGNAMozChmzbpk2bSpcuXVSbvmSDCtgvb4j8NtalKTr1lOfyCFElRcLOH5QlsaYtEREREVHwBm0dQZ1pS0REFLBB2+7du0uzZs1UzVsEaXHD5RsI3uI5KoSA7ZKRWZqjbSnq33Nnz2Z9DUaqK34+2/Y0A+tERERERMHE7rDItGXQloiIKLCCtvv27VMF3FEaQcN9FFPHc1TAloyybNaDkSWbfkV3EXu+RnHySZHU5ALrHhERERERFYHyCDHMtCUiIgqooG2JEiXUCJbuUCgdz1EBaz/EsjlaMjJt7RIujnSL+kc60xZYIoGIiIiIKCgzbcPOl0ewsaYtERFRYA1E9tlnn8kjjzyiblWrVlVte/fulYsuukg+/fTT/HgLyk7b5zL+dSuRgIHI9JCwGIwsJjLMOtNWB21LVed6JiIiIiIK1kxblkcgIiIKrKBtvXr11OiXhw8fdpZDqFKlipQvXz4/Zk95DNxGla0uclicg5FlCdqaM21Z15aIiIiIKMiDtpnl7oKFw+GQP/74Q53HJidnLRnXo0cPn/SLiIgoV0Hb3r17qy+t9u3bWz6PIC0Dtf4QuB2lSiZE7b9Y5PBB1XTOnnHJk8dMWwZtiYiIiIiCcyAyx/mgbZCVR1i7dq3cfvvt6ipRw8haTs5mszFoS0RERaOmLUoddOrUSaZNm1ZwPaILD9y+fFL9Gx0e6mxGeYQsipvLIxzimiciIiIiChIciEzk0UcflZIlS8rixYslISFBTpw44XI7fvy4rzcTEREFsVyXR6hWrZr07NlTDh06JM8++6zlNKtXr1a/SG7YsCE/+kh5FB2RGbRFeYRsg7anE7ieiYiIiIiCMmjrCMqatv/995/MnDlT2rZt6+uuEBERXVimLUydOlXuuusuef755+WZZ57xWBdo8+bNuZ015TNzpm2O5RGYaUtEREREFDRSrGraBll5hLp160piYqKvu0FERJQ/mbYRERHy5ZdfSoUKFeSdd95Rl5F88sknEhaWL2OaUT6KCs8h07ZYaZGQcJH0VGbaEhEREREFa01b50BkwZVpi/PZAQMGSJMmTdTg2kRERP4kz5HWsWPHSsWKFWXIkCFy9OhR+eabbyQmJvhGGy0q5REsa9rabCKxFUQS9zHTloiIiIgoWMsjnB+IzBZkQdt+/fqpsn+NGjWSypUrS1xcXJaByP766y+f9Y+IiILbBaXHDho0SAVuH3roIWnfvr3MmzdPypYtm3+9o/wrj2AVtIXi54O2Z46KOFJFQsO51omIiIiIgnEgsmLBlYTTvHlzFZglIiLyRxdc06BXr14qUHvPPffIFVdcIQsWLMifnlE+17TNPCizrmtriCQdFikZzzVPRERERBTg7GkOi6BtcNW0RZk/IiKigBmIzErnzp1l4cKFqkxCmzZtZN26dfkxW7pAURHeZNpyMDIiIiIiomCT6jCc98PTHUFZ05aIiChggrYHDhyQhg0bWj7XunVrWb58uYSGhqraQORfmbaWNW3dg7anEwqhV0RERERE5HcDkYWEiC0yUoLN559/LldeeaWUL19eSpQokeVGRERUJIK2qF+b3WBj9evXlxUrVnDkTb8sj+AhaIuByLSkQ4XQKyIiIiIi8rUUt5q2IdHRQVffddq0adK3b181EBmuGr3rrruka9euEhERoYK4zz77rK+7SEREQSxXQdtly5bJ22+/LTt27PA4TZUqVWTVqlUyf/58Wbp0qQwYMCA/+kl5EB2RuXmZaUtERERERNYDkTmCsjQCzm1feuklmTBhgnr82GOPydSpU2Xnzp1Srlw5iY2N9XUXiYgoiOUqaBsVFSXTp0+XOnXqSOPGjWXYsGGyfv165/MpKSkyZ84cefzxx+Xee++Vm266Sfbu3VsQ/SYvRIZ5UdOWmbZERERERMEdtHWkBWXQduvWrWowbZT4wy0xMVG1Fy9eXJ5//nkZN26cr7tIRERBLFdB28suu0zWrFmjMm0ffPBB+fXXX1VbrVq11GBkZcuWld69e4vD4ZDJkyerS0xmzZpVcL2nbEXndiAy1rQlIiIiIgoK9jSHS3kEW0zwBW1LliypEo8gPj5eNmzY4HwO57THjh3zYe+IiCjYheXlRdWrV5f+/furG77IvvvuO/UF99RTT0m7du3Ur5RURAYiiyknYgsRMdJFTh8svM4REREREZHP2FPT3GraBl/QtkWLFvL3339Lx44d5ZZbbpHhw4dLenq6hIeHy2uvvSaXX365r7tIRERBLE9BW7MyZcpInz598qc3VPgDkYWEisSUzxiELCmBW4CIiIiIKAjYU1Ndg7ZBWB5h8ODBsnv3bnX/lVdeUfeffPJJFbjFFaWTJk3ydReJiCiIXXDQlop4eQQoXuF80PawSLojI5BLREREREQBy57mlmkbhEFbZNLqbNq4uDh1BSnKJeBWokQJX3ePiIiCXK5q2lLREhmWuXnPpWYONJBF7Pm6toZD5CzrNhERERERBVV5BIdDQqKjJVjNnz9fRowYIQ899JAkJCSogC3Gbzlw4ICvu0ZEREGMmbYBzGazqRIJyLJN9lQeQWfaaqcPicSWL5T+ERERERGRb6S4DUQWjJm2R44ckS5dusjKlSulatWqsnfvXnnkkUekWrVqMmXKFImJiZEJEyb4uptERBSkmGkbJCUSsi2PoDNtgXVtiYiIiIgCXqp70DYm+IK2qF+LwO2///4r27ZtE8MwnM916NBBFi1a5NP+ERFRcGOmbZAMRpZjTVtzpi0REREREQU0uyloG5buCMpM2x9++EE+/PBDqV+/vjgcrudLyLzdt2+fz/pGRETETNsAFxWesYmzL49QKfM+g7ZERERERAHPnpYx5kUoArZiiC0Ia9qmpaWpEghWTpw4IREREYXeJyIiIo1B2wCX+/IIzLQlIiIiIgp09jTDWRoBgjHTtlWrVqp2rZUZM2bIFVdcUeh9IiIi0lgeIUjKI6SlG5LqSJfwUIs4PcsjEBEREREFFbsDmbY2U9DWOuM0kL366qvSvn17ufrqq+WOO+5QAznPnj1bRo8erUonLF++3NddJCKiIMZM2wAXdT5oC8mesm1jymfe50BkREREREQBz+44n2nr0EHb4CuP0Lp1a1myZIkK1j7zzDNqILKRI0fKwYMH1SBkzZo183UXiYgoiDHTNoiCtiiRUDwqPOtEYREixcqInD0mcjqhcDtIRERERESFTg95EZ7uCNryCDpw+8svv8i5c+dUHdu4uDgpFqTrgoiI/AuDtkFSHgGS7RmDDXisa4ugLWraGoaIzVY4HSQiIiIiokKXcv7UIJhr2ppFR0erGxERkb9g0DaIgrbZDkaGuraH/xNx2EXOnRApVrpwOkhERERERD7MtD0ftA2SgGWfPn28nhZlEz7++OMC7Q8REZEnrGkb4KIjvA3aVsq8f/pQAfeKiIiIiIh8BbVb7em2oMy0/eSTT+Sbb76R9evXy7p163K8XYgJEyZIjRo1JCoqSlq1aiWrVq3KdvqZM2dKvXr11PSXXHKJzJs3z+X5WbNmyfXXXy9lypRRAWUsg7t27dqp58y3Rx555IKWg4iIfIOZtsFU01b/nG4ltkLmfZRIqNCggHtGRERERES+kJZuiCE2l4HIbEEStEUN25UrV4rD4ZB7771X7rnnHqlevXq+v89XX30lTz/9tEycOFEFbMeOHSsdO3aUzZs3S/nypoGgz1uxYoV069ZNRo8eLZ07d5bp06dLly5dZO3atdKoUSM1zZkzZ+TKK6+Uu+66S/r27evxvfHcK6+84nzMGr1EREUTM22DqaZttpm2FTPvczAyIiIiIqKAlerIHOvCmWkbEyPB4LfffpOdO3dK9+7d5csvv5RatWqpQOj7778vR48ezbf3GTNmjAqe9u7dWxo0aKCCtwieTpkyxXL6d999Vzp16iQDBw6U+vXry4gRI6RZs2Yyfvx45zT333+/DB06VDp06JDte+N9Klas6LyVKFEi35aLiIgKD4O2AS46IsS78gjumbZERERERBSQ7GnmoK1DJCREbOHhEiyqVasmzz33nCov8M8//0j79u1VJmzlypXlhhtukB9//PGC5m+322XNmjUuwdWQkBD1+Pfff7d8Ddrdg7HIzPU0fXa++OILKVu2rMrQHTx4sJw9ezYPS0FERL7G8gjBNBBZduURmGlLRERERBR0Qduw9DQJiY5StU+DEbJgkdX6wgsvqCxWZMhGR0er4G1eIWMX5RcqVDAlxoiox5s2bbJ8zaFDhyynR3tuoOQDyj0gAP3333/L888/r0oyoB6ulZSUFHXTEhMT1b/oP26AfQNB5/T0dFUPWfPUHiI2sYkh6bZQZxkO1W44VLvD5hqGQLuo6d3bkQVuU/MxCzXS1HzN7Zgv5uOpPV1CxLBlJjTZDENCBO2hYpj2fZuBKdM99t2vlsnL7eFxO+HHGpvNY7ve/uZ2wPTetIeGhqr5mtt1Xzy1c5m4nYJl3zNM02SHQdtgqmnLTFsiIiIioqCX4pJpmyYhxaKDcp3gJHrBggUyY8YM+e677yQsLEweeOABefDBB6Woeuihh5z3MZhZpUqV5Nprr5Xt27dL7dq1s0yPGrrDhw/P0o7pY2Nj1f2SJUuq+SQkJMipU6ec0yCbF7f9+/erertaxehqEndut+wq007sYZmlGaoc/01i7Ydle/lOkm7LzOyuefRnCXOck60VbnbpQ52E7yUtNFp2ljVlLBupUjdhrpyJKCf7Sl/hbI9IS5RaRxfJqehqcqhkM2d7TEqCVD2xQo7H1pWjsfWd7SXP7pJKieskoURjOVWsRuYyJW2UskmbZH9cKzkTmRlEr3hqrf8t0/HjLiU9cr2dKlaUuLg42bVrl8oOdy5TlSpq22MfMAe3atasqf5Gtm7d6rpMdepIWlqaKjviXKaQEKlbt656v3379mUuU0SEKkmC/pl/kIiJiZGqVatymbidgmbfK1OmjHjDZngb3iXnL4/YeNhovqgNhI18+PBhVbxe/6qQnbl/H5B+0zNGPX3xpvry4FW1rCdMPScy8nxd22ptRPpc2CVBFLhyuw8ScR+kQMPPQeL+R0Xd9iNJcu3bv6j71+5ZLUOOLpfaCxYWic/A/Dgf+/XXX1U925kzZ6os01tvvVUNAoZyBAgMXCicsKOu7Ndff60GE9N69uwpJ0+eVAFiq5INGLjsySefdLYNGzZMZs+eLX/99ZfLtAgKIIixbt06ufTSS7PtC4IKCBjMnz9fLZ83mbY6gKHXb64zzkaU8b+s1EDMtB16gpm2zB4OiqzUkABcpqSkJBXkzem7jBGXAOd1eYTwaJGokhn3Tx8shJ4REREREZHva9oi07ZY0GwIBCQRvET21AcffCBHjhyRadOmyU033ZQvAVud0dW8eXNZtGiRsw0n8njcunVry9eg3Tw9LFy40OP03kLdXkDGmJXIyEgVMDDfdNBD33RgBP96046gomo3HCoYqW+63dym222W7RkBSvd2sWjPCJJ6bkcg1qVddLtrHzFddn33q2Xycnt43E7ng9We2s1tuh03b9vhwIEDKnsd5TqQ0Yg6y++8844KauXUx9TUVHn55ZdVhjhKlqDsx1NPPSWnT592mR4/XmDAv4svvtgZIMP7WS3TyJEjVe1o7Of4e8f0kyZNcpl27969qh03TGO+6YDdsmXLsvTdfR3kdnv4cjt56juXSQp0O3mD5RGCKWibXXkEiK0oknxKJCkBBTbwF1rwHSQiIiIiIt8GbWNigmYL4JLW8PBwFRD9+eefs50WJ9Xmy2JzA1mzyKxt0aKFtGzZUg10hqxXBJegR48eEh8fr8oTwIABA6Rt27by9ttvqwAySjasXr1aJk+e7Jwnsl/37NmjAmGAWrX6slzccPnt9OnT5cYbb1SX3qKmLYJcV199tTRu3DhPy0GUV8jIb9OmjdpntY0bN6q/jS1btqgfTTxBUPf22293GRQQf7vvvfeeCphigL6oqCjVvnz5cvn888+96hNqVuf1b9pMlw4hKmgM2ga4qIjMoG1yqmvKeBbFK4gc3SySelZk8QiRa4cWfAeJiIiIiKhQ2R2moK0jTWxxwROAQMmBwnD33XerLF4Mbob6iShjgBIFerAxBLLM5SUQ3ELA9cUXX5QhQ4aoWo0ojYDMRG3OnDnOoC/cc889zmVCRiIyfBGI1gFiZBV37dpVzZOosGGf1AHbjz/+WG6++Wbp06ePzJ07VyZOnKj2ZfygYQWlS3TAFnWaR40aJe+//776e0L2+Lhx4+S5555TzyPDFnWZ8TfUq1cvFdz1BO+JHzDQL/TPSo0aNbIMEnXu3DmVvYvyJng//BhDVBgYtA1wucq0PXMs8/6yt0XCokTaZnwQEhERERFRYAjm8giFFbSFfv36qZuVpUuXZmm788471c0TBKRw8wRB2l9+yahVTORLKAeCHyEAQU4EawE/SCBoC1988YXHoC1KlmgIyCJzfNCgQfL666+rHyTwWh20veGGG9QNcipxgtIM8Mknn+RqeVADGwFbePTRR3P1WqILwZq2AS7KFLRNzi5o+8sbIof/c21bMjKjnYiIiIiIAjRo65CQYsFTHoGICt6OHTucZQjq1avnbDffX7t2rcfX6+cw6CBKfwDKmqC+Lfz3338uA+gVNF3KAQMMZvfDCVF+C4ig7YQJE1QKO2qatGrVSlatWuVx2g8//FCuuuoqKVWqlLqhCHV20wfFQGQIzCJAa4WBWyIiIiKigJISxJm2RFTwUBpE04Pbud9HzducXm+e3vzY4XCoGs+FAbWlcYN7771XBZKJCkuRD9p+9dVXqpA1LnPBrzFNmjRRo4F6+gDAZSjdunWTJUuWqOLVuITk+uuvz7buScCXR1gyKvuZ5PQ8EZGfSFywQHbc2kU2NW6i/sVjIiIiyqamLYK20dFcRURU4My1YjHQX2G/Pi/MA6axNAIVtiIftMXof3379lUFpRs0aKAKWiNlfcqUKZbTo/bJY489pgrBIzX/o48+UvVWFi1aJIEoKiIk56Bt+yHZzySn54mI/AACtPv7D5CULVvEsNvVv3jMwC0REZGrVHOmrSNNQmKYaUtE+adcuXLO+7pMApw+fdpyGk+vN7/W/PrQ0FB15XRBQx3bGTNmqPu4qrtZs2YF/p5EATMQmd1ulzVr1sjgwYOdbRiBEyUPkEXrjbNnz0pqaqqULl3a8nnUSTHXSklMTFT/ItCLW2HDe+LXJW/fO8wmEmITSTcyyiNYvu6qZ/GTlYQszZpRm95uSMbzPlhW8k+53QeJCmsfPDJ+QsYd/Qs8/rXZ5OiE9yW2QwduCCrwfZCoMHD/o/yQkuZwybS1RUd7/Znm632Qn71E/q9WrVoSFxengp6bN292tm/atMl5P7sAKJ7D1dCIvxw6dEjVtUXcZvv27er5hg0bSmRkZAEvRcaAZYgZAZL/iApbkQ7aHj16VNUyqVChgks7Hps/DLLz/PPPS+XKlVWg18ro0aPVaIVWNVaSk5PFFwcp+LUJB0oIUHsjKixEzqamS9K5FM91Y+r1lJgzSVL8z3HOprTYeDlaryeKzeRX9ykA5GUfJCqMfdC+a2fWiQ1DUnbuzLZmFlF+7YNEhYH7H+WHYydOuQxElpSWJqleflf6eh80Z+oRkX/CZwPKUqK0AIK2U6dOlc6dO8uoUZmJYt27d1f/Ynyi3bt3S9u2bVU5S7jvvvvk+++/V/dRChNxmfHjx8uZM2dcXgtIstOfC/pHHXw+IV4ExYsXdwZ4T5w4oWJISUlJztdjnpjWKnsXV3JDmTJl5K677pJghOD5Cy+8ID/++KP67EdAHle7DxgwIMfvAMTMsM1xxfu+fftUBvXtt98ur7zyigrqa6gZPG7cOFmxYoUzMI+43qFDh7LME9v43XffVeNVYcA71Bi+4YYbZOTIkRIfH+8y7eeff6624datW9U2x/Moj4rEzypVqkhRUKSDthfqtddeU6nu+GDAIGZWsDFRM1fDLz2og4udzb0odmHADoraLXh/bw+SoiPC5GyqXVINm5QvX97zhDcMl/RiMWL7ZbSgOkxY0n4pH2kXKVk0dmby332QqDD2wTM1aop9yxbXiW02iaxZM/vPPqJ82geJCgP3P8oPkVEZVw/qTNuSFSpICS+/K329D3o6byMi//Lyyy/LDz/8IHv27JE+ffq4PPfII49Iy5YtPb72zjvvVFmuCBROnjxZ3TSUuuzfv7/z8ZdffqnKZZohYUOXWEDAuFevXup+06ZNVYDY7Nlnn1W36tWry65du5ztixcvdmYJo//B+NmD9dimTRu1DbWNGzeqGNmWLVtc6v26Q+AcAVpsQ3MA+L333pNly5apq+P1Ol2+fLkKsHrjsccek0mTJrn08dNPP1XjVv3555/O8z4EixFsNtu2bZu6zZ07V/777z+JjY0Vf1ekg7Zly5ZVv4YkJCS4tOMx0uez89Zbb6mg7c8//yyNGzf2OB1+kbFKu8cBiq9O1HCQlJv3j44IFTkjkpzqyPk17Qdh4USWjFQPQzZ8K3LFgPzoNgWQ3O6DRIWxD5Z79BHZ/9TTLgFbZNqW7fc491UqlH2QqLBw/6MLhcuMzUHb0JiYXH2e+XIf5OcuUdGA4BkyJ4cMGeLM0qxdu7YzSzOnz5hZs2apwNu0adNUlibmp7M0CyOAqgOS6AuCzMEaeNcB248//lhuvvlmFcBG0BMZrAiWewq+z5w50xmwfeihh9S2fP/992Xo0KGyfv16lVn73HPPqecvvvhidYU7AsQIsCO4a+WPP/5wBmyRuY2xrNAX9An9RH/xHvDZZ585t99PP/2kahIj+3vevHlq2gULFqj9yd8V6TONiIgIad68ucsgYnpQsdatW3t83RtvvCEjRoyQ+fPnS4sWLSTQRYeHqn9R09Yrjbpm3v9nZgH1iogof0U1auTyOLRUKYl/b5yUuO46rmoiIiKTFLtr0DakWAzXDxHlO1yOjixIZEOijMGGDRvkqaeecvnxBdmtyMrUpRE0BGYRoMUl8BjPCIFbBPrMl9UDgnx4vaebzrI1v5fVzZxlq4OOun43SgIEGyz39OnTnUFVBEaRvYwgvIayB54g2K4hIIsSE4MGDZKYmJgsr0V5AwRzUbY0LMxzbukXptcgixb9QeC4bt26zqxrXSIDCZ6AYP91112nrpRHoFc7d+6cFAVFOmgLSMtGLQt8ECBN+9FHH1U1SXR6fI8ePVwGKnv99dflpZdeUhF51E5BjQzczDVNAo3KtMVOmepQHzo5KlNbJL55xv1D/4gcySwcTkTkr1LdfpGNbtKEAVsiIiILdpdMW4eEFIvmeiIiIicEy5EdDfXq1XO2m++vXbvW4xrTz6HmrL4SPjw8XGVbA8oTIJCfG2tN72fVJwx8t3NnxjgnOjsaPxgsXLhQlTrVdZJxNT1qKBcFRT5oe/fdd6tSB4jKo7YJ0qyRQasHJ0Pa88GDB11S3PErzR133CGVKlVy3jCPQBV1PtM23RCxO7wc5fWSOzPv//N1AfWMiCj/pO7b5/LY7vZrOREREVkEbR3ItC3GVUNERE5Hjhxx3jeP52S+n91gz/r17mNB6ccYEO748eMF1qcnnnhCxo4dq8ojYPAxBI9RruGiiy6SOXPmcCCywtSvXz91s+KeYu+e8h4MdHkESE5Nl8iwzMceNbxN5KchIkZ6RomE9kMy6kMSEfkpu1umrX3vXjFSU8UWHu6zPhEREfkje2qaW3kEBm2JiChn5qu3ERAt7Nd7O0+UdsAAc7pcgnb06FFZvXq1KpmQX+9fkIp8pi3lNmjrZV3b4hVFal6dcf/ETpH9ntPec+WXN0Rejsv4l4ioAMsjSFqa2N2yb4mIiEjEnuYWtI1meQQiIsqEerGaLpMAp0+ftpzGnX7O/Frz61FztlSpUgXSp/T0dJVpm5aWpmrprlu3TpVEHThwoCqhgHq4ul6vv2PQNghEhWduZq8HI8tSIiEfBiRDoHbJSPwOkvEvA7dElI9S92UdZZQlEoiIiLKymxI5mGlLRETuMPiaHvRt8+bMcY42bdrkvN+sWTOPK04/h1qyGEdKna+lpsr27dvV/YYNG6rasrnRzPR+Vn1Cf2vWrKlKJOjSC23atFGlVDEAmnlQusWLFxeJjc6gbRDQA5Hpwci8Vv9mkdDzf0T/fiOSnovXegzYmjBwS0QFmWmLk9KdwVcSh4iIKCepaaagraSLLSKCK42IiJxCQkKkW7duzgDp1KlTVU3ZUaNGOafp3r27+rdGjRqq1EC7du2cz913333O+8OGDVNB1NGjR8uZM2dcXgsYkAxlC3DT5QxQ8uDo+TY9YJn5NSNHjlT9Qb+2bNmi2tBf9BsZvFFRUaptxYoVauwrvC+m1XRA2t8xaBsE9EBkuQ7aRpUUqXNdxv0zh0V2/pp/AVuNgVsiygfpdruknS86bzP9YstMWyIioqxSTEHbSJZ+JyIiCy+//LJUq1ZN3e/Tp4+UL19e5s6dqx4/8sgj0rJlS4/r7c4775QbbrhB3Z88ebIqU4DgLSDztX///s5pv/zyS1XWALe9e/eqNmTLljvfhuehVatW8vDDD6v76Af6g34B+on+qu+1yEh5/PHH1f1jx45J06ZNJTY2Vt566y3VFh0d7Xydv2PQNthq2uamPEKWEglf560DS0Zd2PNERDlIO3AAP8eq+8Uuu8zZbt+5k+uOiIjIjT0tc2CWCG8GKSYioqCDoCgyVXv06KGCpxEREVK/fn0ZM2aMTJgwIdvXIvN21qxZ8tJLL6mSBeHh4RIfH69qzS5ZssSZCZtb77//vnp/9AP9Qb/QP/QT/dXeeOMNee+996RFixaqNAJq6FaoUEFuv/12Wb58uSrPUBSE+boDVLhB21xl2kLdjiIRxUXsp0U2fi9y09si4bn842o/xHOmrX6eiOgC2E2lEaLq15PkjRvFcewYM22JiIisvjcd6c78ncgI5vEQEZE1BFo//fTTbFfPrl3WJekQmH3llVfULTuoNWuuN5udkJAQeeqpp9Qtp+n69eunbkUZv6GDQJ5r2kJ4dEZtW0g5JbJtYe47EN/c83PtXxBp+1zu50lE5KGebXh8vETUrKHupx05Io6kJK4rIiIiD5m2kVHMtCUiIvJHDNoGW03b3JZHgEvuyLz/z8zcvfbEbpFvHrB+rv6tDNgSUb5I3ecWtK2REbQFDkZGRETkyp6WUVIoNN0hYVG5G72biIiICgeDtsFW0za3mbZQs61ITLmM+5vniyQneve61GSR//UQOXci43HdG0QuvTfz+cjiue8LEVGOmbZVJLJmTedjDkZGRETkKuV80DY8PU1CovNWV5CIiIgKFoO2QeCCyiNAaJhIw9sz7jtSRF6rKvLLGzm/7seBIgfXZ9wvVVPktokiN70jEnb+wHDHUufAQURE+Ra0rVzJLdOWg5ERERGZ2R2moG2xYlw5REREfohB22AbiMyeWb8qVy650/UxBhbLLnC75lORtZ9l3A+LFrl7mkh0XMYgZlVbZbQn7hM5viNv/SEiMrHv36f+DS1XVkKioiSCmbZEREQe2dNt6t9wR5rYikVzTREREfmhMF93gAq5pm1eMm1h++KsbQjcgnkgMQRyl4wSsZl+D7j5XZGKjTIf12orsvOXzGzbMrXz1iciIhFJT04Wx5Gjal1ExFfJ+LdKFZHQUBGHQ1J2MdOWiIjIzO44H7RNd0hIDDNticjVxnr1uUoKQf1NG7meKVvMtA2y8gh5qmmLQOzSUdbPIXA7qa3I3zNFFrx0PpBriBjn36flQyJN7nZ9Ta12mfd18JaIKI9SDxx0GYQMbBEREl4l4759124xWIqFiIjIyW7ooG2ahMTEcM0QERH5IWbaBoELHogMmbPZQd3aWQ96ePPSWdsqXSoSVVIk+ZTIzmUi6ekiIfz9gIjyJvV8aQRz0BYia9SU1N17xDh7VtIOH5bwChW4iomIiPDdaYSYgrYcHJiIiMgfMVIWBKLCQy6sPEL7IXl/819ey1r7NiRUpMZV5zt0XCThn7zPn4iCnssgZOeza4GDkREREVmznz8NZKYtERGR/2LQNugGIstD0BY1a9u/YP3c1QNxIXLuM3Vrts28v4MlEogon4K2pkxbDkZGRESUVZojXdJ10NaRJiGxJbiaiIiI/BCDtkEgKiIfBiKzCtzi8TUv5pyJa/U8BiPTWNeWiC6AfV9meQQ1AJm+X6NG5jQ7ORgZERGR+k50pDtXRJjhkJBYlkcgIiLyRwzaBlmm7cm//pVNjZvIjlu7SOKCBXkM3Noy/sVjl3YL5unMytYVia2YcX/3CpE0e+76QkR0Xur+Axl3bDYJq1TJMtM2Zdcuri8iIiIEbdMyg7YZmbYluV6IiIj8EIO2QSA8NETCzlcwOGdPE8Nul5QtW2R//wF5C9y+fDJrINZTJq5VwBZstsxs29SzIvv+zF0/yHd+fVMqTKyn/iXyp/IIYeXLS0hEhLM9rHw5CSlWTN2372TQloiIKEvQNj1NbAzaEhER+SUGbYNE5PlM1pTQ8IwGw1CB06Pvv59/b+IpE9cTc11blkgoGn55Q0KWjhKbGOrfLIPMERWy9LNnxXHsmLofbiqNADabzVkiIXXfPkm3M6OfiIgoxS1oGxITw5VCRETkh8J83QEqHBGpyXImNEJSQjOz0BC4te/I5zqPCNTmFKy1qmuLwchyqo1LvoUA7ZKRrm36sbfbnCifpR44YBqErHKW51EiIXnDBpH0dEndu1cia9fmNiAioqBmrmkbnu5wXpVCRESBocagH3zdhaCw67WbCvw9mGkbBAzDkKj0NHU/WWfaArLQatXyXcdKVhEpc1HG/f2rRVKSfNcXyn3AVkM7M27Jx6URIDw+PsvzHIyMiIgo+/IIIcWiuYqIiIj8EIO2QeDUd99JZGqKuu+eaVv28cfEp3SJBASVMSBZThAcfDmOQcLCtmTUhT1PVEDs+/Y570e4lUdwH4zMzsHIiIiILIK2zLQtKBMmTJAaNWpIVFSUtGrVSlatWpXt9DNnzpR69eqp6S+55BKZN2+ey/OzZs2S66+/XsqUKaPKQK1fvz7LPJKTk+Xxxx9X08TGxkrXrl0lISEh35eNiIgKHoO2AS414bAkjBotkY5U9TglLEKM889VHvO2lLjuOp/2z6VEQk51bZ3ZngazOwtbTqUrWNqCfCR1/wGvM21TduZzORgiIqKiXh7BkSYh0cy0LQhfffWVPP300zJs2DBZu3atNGnSRDp27CiHDx+2nH7FihXSrVs3eeCBB2TdunXSpUsXdfv333+d05w5c0auvPJKef311z2+71NPPSXff/+9CgD/8ssvcuDAAbn99tsLZBmJiKhgMWgb4GURDr38sqQnJkqkI3MAHntIRinjiKpVxedqXJUxcJmua5vbeqq8LL9woGZt2Yutn/Nm0DkivyiPsIvbgYiIgl6qKdM2QtLEFm4qn0b5ZsyYMdK3b1/p3bu3NGjQQCZOnCjFihWTKVOmWE7/7rvvSqdOnWTgwIFSv359GTFihDRr1kzGjx/vnOb++++XoUOHSocOHSzncerUKfn444/Ve19zzTXSvHlzmTp1qgoIr1y5kluXiKiIYdA2gCXOnStJS5ao+1Ghme3283VtkzdsFJ8rVlqkUuOM+wn/iJw5mnUa1lP1PfsZkZN7sra3HcSALflUqi6PEBIi4RUrZnk+NDZGwsqVU/dZHoGIiEgkJdXhXA0RkhnApfxjt9tlzZo1LsHVkJAQ9fj333+3fA3a3YOxyMz1NL0VvGdqaqrLfFBuoVq1armaDxER+YeMlEsKOGlHjkjCq5mZqSXr1RE5nFEYITk0QoqnnpPkjRvEL6Cu7cG/MkskNOqa+3qqzPQsWNsWiaSdy9pet2MBvzGRd5m2YRUreMwUQl1bfCY6jh8Xx6lTElqyJFcrEREFLbs9Y6wLCLdlBnAp/xw9elQcDodUqFDBpR2PN23aZPmaQ4cOWU6Pdm9h2oiICImLi/N6PikpKeqmJSYmqn/Rf9wA9XMRdE5PT1dXc2qe2kPEJjYxJN0WKoa+qhLthkO1O2yuYQi0owReepZ2DKZtU/MxCzXS1HzN7Zgv5uOpPV1CxLBl5qzZDENCBO2hYtgy+2gzMGW6x7771TJ5uT08bqeQEPWcVTukh7r20ZaersbFMdzbsZ/YbGKcf51zPg6HWrfmdtv56T22h4S4bQ9Dva/H9lBsD9c+4jlP7f62TPpvLK/bCe3meeh27HuhmW+pOIyMPoVkac/4e81Newj2SlM7epWOdpv5r0OtWkkXm4TazFsD0+I1uW0Xv1sm87rP7XYyT5MdBm0DEDb+weHDVXACStx4oxSPryxyOCO4kaIzbTf6Qaatrmu7YlxmiQT3oG27QSJLRwdPPVWVWTwqY7n8JRi9cY7zrlHnerFtXZDxYP8akfhmvusXBbX0M2fEcfKkuh9ROWtpBHOJhLPnB/5Atm10kyaF1kciIiJ/DtpGhDDTNtiNHj1ahg8fnqV9+/btaiAzKFmypFSqVEkNaIYSDFrZsmXVbf/+/arerlYxuprEndstu8q0E3tYCWd7leO/Saz9sGwv30nSbZk/ttc8+rOEOc7J1go3u/ShTsL3khYaLTvLmjKWjVSpmzBXzkSUk32lr3C2R6QlSq2ji+RUdDU5VDLz/CQmJUGqnlghx2PrytHY+s72kmd3SaXEdZJQorGcKpZZTqts0kYpm7RJ9se1kjORmUH0iqfW+t8yHT+ufiBwLlNut1PFiirAv2vXLpUd7lym84P7nrzqKkkPywwZxf3+u4QkJ8vx9u1dlqn0kiWSHhUlJ1u3zlymtDQpvXSppJYuLYlNmzrbw84kSdzvKyWlUiVJatAgc1mPHZMS69bJORy316rlbI/av19iN26UMxdfLMmmUmjFduxQt9ONG4u9TBlne+yGDRJ14ICcanmZpMVk7L+AeeM9/G2Ztm7dekHbCX+j+FtFoFCrWbOmCm5eF+/6+b5wf4hEh4pcWTGzPS3dJj8fsEmZKJEWZTPbk1JtsjzBJvExIo1KZbYfTbbJ6qM2qVXCkItKZAYd952xyb8nbNIgzpAqMZnt2xJt6ta0jCFlozLb/z0RIvvOiLQub0hseGb76qMhcjRZpH0lQ8JCMtuXHwqRcw7/Wybz9svtdsJgkd5g0DYAJc6bJ0k/L1L3Q0uXlgovvShRSzNHWHdUqSay+aikbN4ihsMhNrdflQpdtdYiIeEi6alZByPDrw+JmQMNBXw9VXMpCP2vr5cvLUVky08Z96NKitFmgClou9anXaPg5lLP9vzBpadMW/NgZAzaEhFRMEth0LbAIfASGhqqgmdmeIwTeytoz830nuaBYMHJkyddsm2zm8/gwYPVgGnmTNuqVatK7dq1pUSJjOAkssR0xm758uWd0+r2+Ph418yycxll1WocW5olKxVqH55vmZWKgKZre5pEpCVlaYcY+xGXdmTPQclze6R48v4s7aWTtkipM9sy28/3t0Li31L+9D+m9oygSvzJPyz77lfLVLq0lCpVKrM9t9vpfFZojRo1LNvjli2zzEpFQNOl3eGQ0LNns7RD+PHjLu16zUUePCgRpv1dt0fv2iVRu3dntv+/vfMAj6J6u/jZTbLpCQkhlNA7SJMqCNKLAor6KWLv/q3Yu4i9YkexiwW7IqCg9N57Db0FSAjpdZPsfs97Z2u2ZEMS0s7veTaZvTM7O+XO7Nxz33tey3aFxscjZO9el/LwbdtcImrVMVu33m15VdunNm3alPk8ybXqiJRLBKoImo5IWXaha7lwJs99eUI2cDLHtfxghg6HMu3XgXWrdqXpsDvNodwyY/MZFXfsFDkrrE5yX774pGu5GVVvnxzPX2nPU1ZWFnyBom0NIuO//3D6/Q9gPHDAVtZg0iT4R0UhOOCkrczcsjUQvwnmvDwYDx1CYOvWqFQMoUCT3sCRlUDqYSD1CBDVTJu38AVg03RtWoazWH5EnawVagqekq1VtnAr0c/52jAptLtERdaa9QHQiciesKHytovUekpKQmbF0MIhGdlhJiMjhBBSuzE6RHAF+vk2PJOUDrEokCRgCxcuxLhx41SZRFjJ+/vuu8/tZ/r27avmP/jgg7ay+fPnq3Jfke8MCAhQ67nySm30Ynx8PI4ePepxPYGBgepVHBGd5eWIVXwojmu52UnQdFm3sgjwtdzstlxXynKxPHBpS6ryIrs641juYdur1D75fD7OsrzYcG7b9rgrlyH/bsp1pS0XGwN33+mpXILQSlFe1fap+DV2NufJ3Tqk1oigWRwpcl+uK1W52iN35WZ3e6rZD5RPOarUPpXm/BVf1irSlwQTkdUgwTbhgYlOgq3CYtYRHGCvIKam9qizqmORMMg+bY22Xfk+sOJdS6EOuOJzLbLWkeVvl79wOrmO9v9cUpWTre3+yz7dYSzgH4SCuu2198l7gTz70BtCziUFCSd8Em0DmzuItoco2hJCCKnd5GXn2KYN/r41GknpkejVzz//HNOnT8fu3btx9913qyHPt9xyi5p/4403qihXKxMnTsS8efMwZcoU5Xs7efJkbNiwwUnkleHwW7Zswa5du2yCrLy3+tXK8PjbbrtNfffixYtVYjL5PhFsL7jgAp5GQgipZlC0rSEkT/3YtVCnQ/LHWnmwwUG0FXsEC3m7qoho6xgxO+t+4MdrgfmT7GWjpwCd/0+LOH0uGYi07IMM0z+xpZyFU/O5F0p9SbZWGRQVAnv+0aYDQoFWQ9RkQWwX+zInNlfOtlUzEtJysSMh3eUl5eTsKEiw274ENPYs2irrBIt3lYwuIIQQQmoz+bl5tunASnZJq8mMHz8eb7/9NiZNmoRu3bopcVVEWWuyMYl+PXnSPhqyX79+mDFjBj777DN07doVv/32G2bOnIlOnTrZlpk1axbOP/98jB49Wr2/5ppr1Ptp06bZlnn33XcxZswYFWl70UUXKVuEP/7445zuOyGEkPKB9gg1BLdChNkM40GtPMgh0raoQSPbdN6ecyPaijCVmm03Y7YSFWpAXJ1gLZmVnwEosiwT/7d9oSHPAr1us7+XRGr9JwJ/P2KPth3/ffW2JpCkY54iba3zKwOxrMhN0abbDAcCgmVslyba7vxBKz++wTlSmrit/0PeXoL8QtchWYH+eix6dJB2HZCzjrQ1eIm01fn7w9CkibpPGo8cgVmGKHkYtlLbkVEb0gkox0q8gGPuvQcRI0ZU9mYRUmXgNUJqAvl5kohMS5gUaGCkbUUiUbKe7BCWLFniUnbVVVeplyduvvlm9fJGUFAQpk6dql6EEEKqNxRtawjSuM4XY24Hw2OJtDVYshQ62iMYg0LhFxODouRk5O/arUySffXTqDDBauuHdsHWkca9gQGPupZ3ux5Y+haQdQrYPRtI2g3E2rOBlqs1wbkQbmX9234BztizD9roeWvledrunmWf7nipbbKgvkOkLZORlYh0WLir/4KUy3yKtmXwtPXzg78lasXbPVKESHN+PgpPnvRqp1DbbXbkt0N+S+Q3Rb3/4H0Kt4TwGiE1iPw8o120dWgjEEIIIaRqwVCjGoJEQynB1iq+WhrdqlzZI9hPdW5BEYI6aAJnUXq6EjAqVbBa9rln0fT4OmDZW67lAUHAhQ/Y3y+fcnaetTL831uE67myJshJ0ZKwuWPP30DaMZxzJJPm7jnatF8g0MYebVcU2RzmQC2brEpG5thZQMg5Fm0DGjZU0bTeMDj42uYzGZlnmx3Lb4fC8ptitdkhpLbDa4TUFIz5BbZpg4OFGiGEEEKqFhRtawgyfDXug/cR2K4tdAaD+h/34QeIGD7cJdLWUbStEsnINnx1dqJpj5uBkLra9I7fgTPFkrCV5Fn70/XA1F4lb9+5sCbYNRMwWR6gm/TREq9FNNbeZyUCP1wF5KbhnHJ8vRbJLIiXbWC4fZ5ODzTqbt++DEvEIyHnCHNWFkwZGWral6hZQwsmI/PJZqd4B4yDzQ4htR1eI6SmkG+0i7aBNLUlhBBCqiwUbWuYcNty5ky037ZV/bcKtsU9bXONRQjq2KHqJCOT4f9nI5oaQoG+92rTZhOw4p3SWSDsmQ2kHCzhu585N9YE2361T1/yFjA5DbhrGRDdSis7vRv45Qag0I2FxDm2RrAR18M+nbDx3GwTIRaKLFmSfRVtAx0ibY2MtHWLoXkz10IHmx1Cajtis+ICrxFSDSkwFtqmAwM1mwRCCCGEVD0o2tYSHCNt86papG2PmzRx9GxE0153AEGR2vTWn9zbCHjzrBXqNANu/tt1G3R+QO87ffbt3ZGQ7vKS8hJJOwocXaVNx7QDGlj8YkPrAtf9ao8mPrQMmP0AsOQNZ4uHikCi7ayird4faDvKdRFJHmeFoi05x5gcRdvGcaUSW9wmbiQIG+gmoaCDzQ4htZ2oCde4FvIaIdUQR9uywODASt0WQgghhHiGichqCcEGZ9E2oEkT6ENDYcrOrnzRVrAKs47iqi9RrkERQJ//AUvfAEyFwMr3gdFvl86TVkTT5v21l+M2mIuAnX+UGAnsU6K1OsGeV7DdIcq2y1V2X2Khbitgwk/A9LFAYR6w9cdzkyTt5FbtuAjNBwAh0d4jbY8z0ta5k+BVLULccm6iQg3w0+tQZDK7rSMyn5QO00m7aGvwIdLWr25d6MPDYcrMpGjrAePxY26PW/iwYayehEiEf2amy3HQR0YifMgQHh9SrTA6PLMGUbQlhBBCqiyMtK0lFPe01en1COzQXr2XRGSFqakV9t1WwcodAX46u2AlApeKdtWVzpZARFtDmN0f1xqFWpCnJTHT+/luvyDfKbYEVrbMKHuitWyj94hWR2uEzle5LtOkN3DFZ+4/L8JtRUTclmSNIITVByKbaNMnNgOmovLfjupGcd9ky7lpFBmEptGuwn2b+mEli/qk5EhbH0RbnQxhtlgkFJw8CVNeHo+sA0VZWchatFhN+0VFIaSPeGsDRWfOIHfzFh4rUr4UTwpaTcj4+x/bdKDFZsqUno6c9RsqcasIKT3GQnsncmAIn0EIIYSQqgpF21qCk6dtgSYwBnXoaCvLr8BoWxGk2jewJ7G6qoclwRaA7k2jnAUrEU3Fz7U00aMSBdrrNnt0rFUwm9IOWPSyFoHrCXfisNgT1O9kT8aVvA8VRuIOza9WaHIBEGX33XTidLzndVSEcLt7tmVCB7QbbSvO+O8/HBp3OVJHjFD/M9It21uQ7X0bawPubDgs52bniQwcSs5RRT2bRdmuh/1JWU4dKuRs7RHs9xSfkpFJcq0jlkhyosj8bz7M+flqOuKSSxB5+TjbkUmf7dCJQ0gFdW5VdfL37UP+nj1qOrhrV8TcfrttXvoc628mIdWDfId+9sAwiraEEEJIVYWibS2heCIyVebka6s1RCqCE2m5SrQS2tUPx6tXdEbjKO0Bce2hFOX9WiHkpdm9aSUat//DzvM9RfOKPUG3a0sVbXvWbPvF2RrBEyVZPJQ0vzQk7QGS92rTTfsC4fVtgm3CAxNh3LcPMBao/wk/HUDGsSBt2YRaHGnkzTd58Sv4Y/ZftreXh+3EwNM/2gKtl+87fa62skZhOnVSmwgIgH+9ej59xhppKzAZmTOOwmzkpWMRPmw4dEHatZ05dx7MxnOYBLGyqaZRoNW9c6uqk/7337bpiNGjETZ4MHQhIep95r//wVRFrhH5rT542Tjs6dJV/Zf35Cyo4fcBo8k+Ai4ozDJajRBCCCFVDoq2tdTTVgiyDO1TZRUYafvPdou4AuCSzg0R4KfHXQNb2cqmLt5fti+QB2rxsvWEeNJe/AYw7Hnf7Rc6X60l4LImOKuIof8mE7Djd21avqvj5b5ZOJzN/NIw9zG31ginP/oINqXR+l+nQ/JOSxR1bU5G5kU0LzTrMeuwVpcMOhPG7H8eA/X24ebL9iafk02sSZjNZhSdSlTTAQ0bQufnW7RyIJORuaUgMRE5a9Zqx7NZUwR16QK/sFCbT2dRWhqyVqxEraCaRoHWhM6tqnys5Z5js0bQ6xFx8Sjog4MRPmyoKhKv7OxlDtZKlYS1czV/717V0SL/5T2F25p1HygPYb7AbBdtAyPso+EIIYQQUrWgaFtLCPLXO3naCoEtW6ootXMp2o7u0sBmkVAvXMtWO2/nKexPck3u4TMlRZmu/6L09gth9YA2I7TpzBPAwSVeG3NnxZGVQEaCNt16GBBa1/OyNr9fN5TG/7ckpGFyyKHhmX5c/Ss4cQLGfW7EdRlmnmERt2uzaOtFNF9u6oJkRKrpYbr1iNRlo4d+L0Kgeaou3XEIJjcJyohnTBkZQHa2mjY0LtnP1m2k7aFDPMQWMub8beuMiRwzVvn/ChFjx9iOUUZtGP5djaNAqwXncsRIOZO3bRsKjmmJ+kIvuMAW3R85xn6NpMt1VMkkT/1YGy1UvHP1448re9OqD1X8PlBewrzRQbQNomhLCCGEVFko2tYS/P30MPjpnewRdAYDAtu0tgkYptzcCrFG2HRUsyloWz8MrWPDbXYNdwxoYWtTfLzkwNl/SUVFoXad4JNFwtbjnu0dJP+aLdFacbb/4j0BWXFEmO30fxUr2BZvqKz+CFmfTMShK660NwIdkeRO0RbRNnEXYNR8W2sdcg56WnyVi/G7bpht+nK/5ep/oK4QffW71HSyMQC7//7wHG1ozaAgIaFUScisGJo1s02nz5rFocPWYzFnju24RDoItWH9+8OvTh01nblwkUpWVmOpxlGg1YZzOWKknHEUZMUawUpo374qcZ+QtXhxpV8jqjOq+G+1dK4eZCdVTbkPlJcwbzRrbQI/UxH8I7T7PCGEEEKqHhRtaxFBAXonewQnX1uTCfnx5Z9Iat6OU07WCI5c16cZIoO1SN+/tpzAsZSzFPwqKgq17SggOFqb3jMHyHMVZ+VYfuIgOD/j/x3+DHgWMdCEagmgzMwrcF13QR6w0+JzaggD2l3i2zYNeMQ+3aBzhQq20g44vSMMx97/Vw2PdovZjJhLzrNMFwEnt6LW4q9FjjuS0f85zDf1VNPRyMBAvf34OE4vW7vuHG1k7RZts1assL8xmzl0WO5he/faElEGde3iFI2sCwhAxCUXa4crPx+Z8xegxlKNo0CrjZ9n12s0j3l3lGcHZDljLixExty5ts7u8BHDna+Ri6vONeLf0Pk5y0pA06bnfFuqJdXgPlBewrwR2rUYYCqEPiyiPDeREEIIIeUIRdta6GtrtUcQgjp0VP+Tgutg88Z4lRTM8ZWQllt+1gjFRNvQQH/ccqEmEBSZzJi2tAzRtu6E27I2Av0N9gjYQhFZ/3RZ5NOlB23HaIB+G273m4vz/Q7iHn97Up9p7qKI9/0H5FtE4A5jAYOWzKREouyCCgJ8/IwvWBoiklTs4Nx62PNLQ8T/3gDJO+RBXhtCFzZoEBq+/ppT40+GiIYPH2lfjxeLBDlOxetXedSxKkFRgT2pnBIlNN/kuZFXI7/QpIov9VsFg67IrWi7NMLuHUxKK9o2Ll2EkiMcOoyM2Q5RtmPGuhyziLH2sozZNdgioRpHgZa76FpRfp5LXtc694ojnu69bkdVJWfdOhQla97jYQMHwi/c2f8zwsEiIcMhav1ci+Ji1SSisjv862sJRUkJ9Lmryt8H/GJi3JYbWmqj13ylwEG01QWGlsu2EUIIIaT8oWhbiwgOcCPaduygBNvbhz2Ba/eFYcyHK5xeQ95ectai2qn0PGw4kqqm28SGoU1910QHN/drjlCLmPzrhuNIzNB8Pssm3PqQaMxXul3r0SJBjssnSzWfV38U4nn/b9WINeEav8WIgubTO3trgmsUcWmtEayIuBtuEb9TDqLcGPy0EmwTVkYjP90fZpMO5kLr7cGMepd1R+OPp6LOuHFoOW8u/Lt1U3MKT59G5j6HSOKEDW5XL8dK6lLx+lXWOlZlsmrvXwjkWBKKdRhj803+Y5NdXLy8dxunjzTTJ6GZTotE35AWhqz8wvLZllpAwfGzi7R162Nbi4cOm00muzWCn58tqtaR4G7dENCkiZrOXrMGBUlJqJHI70VrewSlE+ddWf5RoBWZmb4somtF+Xkm7Qa2/qhNB9UB+j9sn2cqBLb8gOpmjWAl+PxutvtQ9urVKLQIvBUqii97C/WntVf/rWQtXgLjvn3am4AATcDVa7/jOatXI39/GZO+1nSKCoHj7p9hqko0uLmoCJCXG0J69irVugp0eptoC/+gctk+QgghhJQ/FG1rEeIj6+hpq8ratUNGYBgK/DSbguJIlGBqtvGsvm/ujpMerRGs1Akx4Pq+ms+ksciEL5aXUYj0NdGYrzTsCsRahv8fWwsk2xs9r/2zG3kFWhTljX7/obX+hG1eiC4ft/jPU9NFZh0+W+awX7lpwN5/tenQWKDFwNJtU5QlmiL7NJBfhgRujvS+E8k7JapWhtzZk1PI+4CYCMS88QN0lsafEHT99bbp5J/+gdk/xGukrdQha8RpedaxKpNVe6uDoN9VE/pFqF97KEVNt6oXii6X3u8SDT5Qv039LzSZsfrAmbJvRy2h4MRZetq2aKF5ARb3ZZakjLWQ3I0bUXhSu0+H9r8Q/nVdkyFKUjKbz63JhIx//kGNJOMEcHSN+3ly7zdqie+qfGb6soiuFennuehl6SXQpvs/BAx7Hrhvg3PCUJP734jKxCSWB5bfCH1oKMIGDXR7jdjEXLlG5mq//Wd7fkrsXFz6JvRLXoUOZvVf3psLCpD0pn0dcW+/jfbbtqLexIm27Up8yy7weqNGj4rxxsr37B3PwZpPsQ0ROHvcjMomfdZsFCYmapsUHAz4+9vrzd9/e7ayckOBTvuswUzRlhBCCKnKULSthfYIIpJZs9VLI8STB1pZcbJG6OL5O27r3wIBfpqQMn3pXvw0aBzmjb8Na37/t/IbCSLwOEbbWsS5NQfPYM42bf/qBhgx0f8Pl4+KkBsKbft/2XAMpzPztRm7ZwFFFpGy05WAn/2h2yeiHQSmlHKKEFzxLowZlmH9TuhQmGHZbgf8e3RHUOfOalrEz6ycttqMtKNA1mlURWxD4z0k7/Cloeq2MZ2TAsRrfocIiQFaD1WTMzfbhcUrujdWDXunaPCG3ZwtEvbW0AjGCqAgQesgkUgy/3ruh4q6I+bee9x6AaryqhIleQ7FFBEArESO9WzREeFgm5Dh8JkaxbynAKOlE6yhjCSQLJKWe23G8fI71xWZmb6somtF+XkeW6/5wgsyUqT3ndp0TBug5WBtOvUwsL/qeSZnLVsGkyW5WPjw4dAHuY9IdEzglz5n9lmfnxI7Fz3Un9SX74Dx8GH1NrhHD5vvbvRNN9qe8bKXLsO+BSu83kOqyqiYc34fPrVds++wCrTX/urcySodDhu/qdRRPSajEckf2pOWNv3sU3TYsR3ho0ap90WpqUia8o7P6yvQ2+0R3HnyE0IIIaRqUEq1iNQEewQhr7AIIQbt9AeW0gfLF8TmwGqNIFGGYo/giYIiM4qKNCHFqA/Akxfcoc1YXwjDxkVY/PgQxNUJRqXR5Wpg/iTNi2/rTyga+DRemL3LNvtRwx+ILHJNolZHl41r/Rbi86IxSij/av4GPFF3pXODq0sprBGsRDucr9RDQMMualIaU+4iVqNCDd6PX/pxmFZOkyVd53mIQhQBsu7/7kLCvfep98kbCxB2gSWIUaJt22mNiPLkrPfPgvHgQY9D460NVXfRwIH+eix6dBDC1y1XjWcr1sY0HrgUEVYRXuqKX4DyFvzTQbQdd75DNKgIt/LKScEFH16IgNRCFMAfS3YchfmyTpq4W0Px5RxK41YEdrEykMhYEVQjRoywLSvHtuD4cTXt36iRUwR4Saj1fPA+El9/A4UnNOE3uFdPRAz3MCzeHY6iifV/8ch+tcyrmv9hKaP+Pe2/L3W0NPdJEQAy/tUi/nUhIQgfYhHP3CC/EUGdOuHogePISEhH6tqdMDRuXOprsMqybz6wa6Y2HVIXuOFPICQaOHMA+PgCrZNt9UdA1wlAbHt1jk5/NBXGw4eQ3bwF6t13r1Md9UhJop1QQn3xeg35Irp6Wr90AAZFuE24WSY/T+kkWTDZ/n7gE84e7r3vAA4u1qbXf46E2AFlus/7jI/XaEYJ1ghWAtu0QWC7diqha97WbTAePQpD8eRfPpyf5M2DtB9SN52LEYFb3NafIqMOyXNW2+Iw6j/5hO13RETm2IcexInHn1BWWHf8dwbGBSs83kN8GRVTbuehDPdJn+7DvlKYD/z5P8BksXq68EGgSS/t1WU88EE3TbTd8JUWJe5hZJoVq/Du8qzwwfu+3Sc8kPbrryiw/G6F9u+PkF6aHUL9p55E9vLlMGVnq2UiLx+HkO7dS7TGsUbaBqAIsAi4hBBCCKl6ULStraJtgQkhlnwVi2M6AF7aaWfD3O0nbW0OSUDmTYiSRoCnQZFGkza/UgWBsFgkNBuHY6u3I215KBavfAK72wxRs9roE3B14WwtQDW0nmZZYKXtxbh9/yJMzxkJIwLw/boTuDvwHURYD0VwNNDI+4N1iaKtxde2TILO4teQuD5Q+dg6YWk4eopCDB00yN5IPZKKnBYGhDYwuoi2IrJ9u2AnykJZBStpzJg91EEZXu9LQzXPIcLFqTH94z+I0IJrNVFH7I+PpeFgsjacum/Luu63LSQaoaOeR6+f92CVqROOZwGHTp5By0a+R45WJVHcl/X7LIxb6p67xq4M/zTnatFeAXGNSr0dsh5JJrTvooEwpacjb9t2FGVmuiQXKlWUpKNgUAYxwVtjP/W8PuUqpmQtXQpTRoaajhg+DPoQ74kNc0ZditvjwzUrnT8lok+L6jtb0bjKUJAL/P2I/f2IVzTBVqjbShNwlr2p+a7+8ygyGj6AhIn2Oioeoj4LMmURVX25hur3RdyZVZ7XP8BhP4v7zX47zrtge97lZyeKHVgIHLGIhNGtgPPt1jqKtqOAyCZA+jEk7N2EIbsWI9/SietIudYxH6/RoqwsZC3WBGW/6GiE9r3A62ojxozG6fh421D1mLvvdl5Ako7KSBtPDH4axj9+cDsaQHU6Ll7i9mPJO8NRZNTbEgcGW0bB2LdrDFK+ma46XIyS9M0NUqeunrYKbg59qUVXn35LyiK6+nIfLg0SYZu4Q5uu3wkY9KTDRjcD2l2iRYpnntTOn4yQOsuEl2cr2ppyc5E8TTrXNeo9+KBtOqB+fWWDkfiqdn859fxktPjjd+gCPIvL5rw8FFhGeQWIPQIhhBBCqiy0R6hFBFnsERyTkX28ZD++S/dBrCgl/2zXEiwJl3ixRqgOSANkcPzluCZqMv7X6zH8bBFshcNF9XEK0UBcD+Dedc6J0K79CfXv+hNXhG5Xy2YiBN8XDbOvODfFKYnI2dkjHCybZ2ziLqT/9QfSDlgyBwf4w9CiuRp2HtiuLeI+/MAWheg4NHtPUg52nshA0rV3qOgdIXlXuIuvrQi2L83cil92a1HXnli/aJ3X+WXxxJVtODnpecDofhkRAQtTvW+fNN6N+w+4Wznykws0q0Zp7Fminh0TkF3R3YvnapfxGFjX7ku8bN6vqIwhpediSKwv5zD5o6leLSxck5DZoz1Lgz4wEJGWjO/m/Hxk/P1P2aMk3+0MfNTrrIe+S5Kgk89Nci60HAeJDJbI2PLE0eYgwmKN4M1+oeCCARXifV7pyD047Yg23XwA0PUa5/kDHgbqaL7rOLwcSa9OLrGOuiX1iNax540SIllLvIZO233V3SLC0+l45/vA7AeBry8Bsiy/2fXaA/3ud/3swaVApual6TPiUbvgBfv7Ic+6RilKhF/PW9VkqjnMrWBbrnWsFPYUmfMXKIsCIeLii6Fz8A91R+Qll9im02fPUb89Cvm/8n3vgq0QEKJ+f91hLjIhN7CnS7kx0w8p+7Tfb50fEPuA67mT0Qixj5csZiak5akEsr6Q8e49OPj4Z9jzSwP1X977/FtSRt/lhEXTsMPU3OUl5aVOuifXwIp3tff6AODyaa5WAVY7D2HtZyWuNt/DqJ78A2efsyH1hx9QdFpLcJc98lIciGrsfI8eNBrpXbTI2/x9+5Dy7bde15fyz1yYLInI/I1F5ZeUlRBCCCHlTo2ItJ06dSreeustnDp1Cl27dsWHH36I3r17e1z+119/xXPPPYfDhw+jTZs2eOONN3CJw8N2bYi0zTUW4p3/4vHBIu/ZhCU2McRB7PWFpIw8rD+iJWBqWS8U7ep7F4ULEu0CrzvS/vgT5ntugM6vcoZvSUPRaHbfvyHDy1IbXoS4Gz8EAsPtQ9+t1O+Iu7r9jV9WmmCCHl8VXoJb/eYhSFdw9tEh1kRk5eBpm//zUzi5XhKQQYmvhoefsA2TltiLo/J1FsHOU4SXYfiT+Hz+64hNSkNOcgBCgjaqBoq0vZ/+Yxt+3mAX2TzxyrZsxPwwD2Ovc2+rkOOQPK+0pP30k4p6EnSBgQho1AgFCQlKaBHBTnzg9r35LtDIcwTMyecno1nx6CcrZh2OLYsGHr5KRTIVFJnw5xZtnw3+OnRroonabtHpcNEl1+C16ZpotHR/Cm6WqLfYDqgQPEQ3nYshsSWJAUU5uTh2/DQyIl1F7ojjyWien6/E1oIEzRpBCDCefTb0OldeoRrCQtoffyDqmvGeF87P8izYWkmXqwXIOBaE5B3hMGb6wxBeiJhOmYhwONbO9gfNET5sGHK3bVfDWz0hVg7r7n1EG6pbDhSlpyNriRa15xcTg9AL+niN4jT463HPoKqfrK3U0eJJe4CVH9gFm9HvuCaqCwgGLnkLhV9dg6QtEShITPVos+JxG05sQdSChxGX78W3Oqw+0OMWr/sn95YS8TMAHS4FdvzmXCYWD6f3AJ8NBtoMt9tBbPzavpx4+V7/BxBaFwiM0KIo67XTPiedjLMfACb8hIz5871amNjY9Sdwaps9qWfHce63ufuNWrRjeeYhcxcFuugVLWraHW5+i62/GyVZIziO2gju2QO5GzaqyNj8B+sh6PLHgLw0YI2DqC+dvO6Sdv73DMI7j0d+/F7XeUVFOPL9McT1DUJ4Y/u9NGlrBGAZJRPdLhMBK54A/u9Lrd46INd4cE9X0ddpGYMf9HodMvO8R16KQJvw6WJLE0KH/HR/y/t7kHr1a95/S5Z8jLgtJVuEuLWJGT5cCbND8qcgH5ahYg4EwohFix5FnC/PU+6EY4mwbeAcpaxocRFQrwNwejdwbA1wcqtWn92gOoCLPBy/ggKc/vAjxNxzd6meZ2UkSPLnX6jppJAo3BE2EMYPXS0uDK3H4/P9+xGbk6rsWyJGjXKbqFOO7bHnXwTGapG5/kWF5WLfQAghhJCKodqLtj///DMefvhhTJs2DX369MF7772HkSNHIj4+HrGxsS7Lr1q1ChMmTMBrr72GMWPGYMaMGRg3bhw2bdqETp06oaYiDclso/1B8onft2HjEXuW2fHHV6P/vjXQhYai8Tdf47HftmNfUpbktsbP64/hqUt8F5Hm7jjlszVCQWIiTj3/AnDedR6XSf3+exxdvxiN3ngdARWUNM0dEiWTs349Tn03Ewi90POCF7+pCbYeaLHxFQzSPYxF5h5IRiTeL7wCo/3WqnlRukzNh9CHRoZdDNABAV2A/AwUnTJi59qj+GGNJVKsFJj2LELCDzthLgzQvO5GPAXjTj9g5woXweaxEe08NsRkuGWGQYv0OX4oBg2jM1C4YyemrM3G8v1aZIjObMKtBxZhzJN3IeDEf8obLr/rLXhhTV1s84tCoV8AJm41Yl/aLIxocljzjut5K7I7XYeFuxMxY/0x7/tiSaxXnNzt25H46mu2943eeAMRo0aq6YKkJBwefw0W6WLxQcwAr+svOOQgjjv6DVo4lN4At69ogYJVzsfOWGhWEUbehvW2b38eYgP3Iyk/AKtNHZD3/QQEZRz2POR043Tb8UGPm3y2L0iY9y5SV4lI6RDJtfAHROUGILmF5+uv1ENii22f8Pum4/hutfc6+ujUuTg47AkUuRm+G1BUgK8vvhztr74MuUv/tJWn/bcOgfXvQcRDH5datAvq2BGBHTogf/du5G3bhry9e3EmtonzPki28KBIRG3+GNL0TTDXRarZ9VpX17HujBJsE1bK0HqzXcxYGQ1jpwyEpb2B3IQmOPXii1pvmBlKnHEr0BRjW92WmCJCnBfyDhxAgV8j5G7ahORPP/MoqEmDPfGVV1W2eSG403kqgjA1O9vzNV5ownsL9ldYHbGen5LOn7fPCz5bqFi3T4blW30s+z+IhIAmSE1Id/F+9FubAb95cTDlee488ouKwvHUHAydstT9NuBZLAp8BHExUUCrocC6T50XyEoEvh6FhEt/xrENB5D2yy8q4Z5YgARdcRU2RrXAj+u0jgFPHNM3QtTYt3HsgAlpG1NRkJyOgJhI1LnqSjRJ+w5xKauBgmy7YOtIZFPgptlIyAvQjkHru7RXbjrw602IyjuCuL3zED/1Rez9brl2HwyuByRmA8+9ibZ5ZrS7VLu3Kha/Biy1JHYShj4PePKfDo0BOl2B7E2bvO5flkVM9OZ7LXXk2GcvIO3fNSjI6YGA5f+gzuBjaHJeNOK2vud1/UrEu3CiirQsnP0CsldKR4pOE2PPl+R0JZMzYiwO7NM6opNORaHuIi15aZSurrpHJPSdjNTzbgE2fWuvw2Yzoja9r+bnrZovdydtZf7+MDRvrpJ7Gk+lw1ykx/EVUYgd3hDR0ZuQm2xA5nGtTvsFmVC3QxYQ/zfw/ZVA0wuA5e84XYOnx1wFLPXcSf7zXX3Vf/nN8shXo5A0U37XHROXaje00z/9B7RqL5kMPH9e9tvbGL/FryIjr5tmQWIhf2+8JiqOq49UQ7hbwVYtBwNSGw5AXH6m9kzm6T7k7rdQzlGWTrvPu7sPtbkbUUkvqHOkom3HWUaFFB/Vc+fVSAqMtDwTab8D1v8RxmyJMkHOhg2Ie/st+O/62id7idQff0QawhARrINp+MUweohGFzsx86VXIumv39T3H3/tIzR4ym71UCckAHWP7Vcjj6xJyIQAEZnLaN9ACCGEkIpDZ7aN36qeiFDbq1cvfPTRR+q9yWRCkyZNcP/99+PJJx18qSyMHz8e2dnZmDPHkskYwAUXXIBu3bop4bckMjIyEBkZifT0dEREaBGK5xLZv6SkJCVI631MwOMtgkp4cGgbXPnbO8rjUGi1YD4OB0RizAcrYCwyQa8Dfru7H7o3dZOoygFrQ2pi7DBsr6tFg86dOAAdGro/ToUpKThyw43YlZyH+wc/5HG9Hy5+F63TE6ALDlYN46LkZO/RPeWQAEn86+Dvh8LjCdgfGed1+35rsRE975rk+bvnvYtBS1qgAAHuI0MGHUbcqIe0xubCZU6N9TpXX40mQy9Sy3o7hyUxtktD3HlRK3sQmdmM049fh6wD+aohkdukMf7X8WacLUNP78DS6PYotHikOWE24+7tM3Hfc7ch1LjcKbrFOOAp3DO/ARaghGHDJdClcSQmjemIIIdocolOOfHoYwhJOIzY3DQYb7gNfjdbktzJ+c4twNR/tmHliZKH/r+97CN09c9B3TvuQNrvv6moOkNcPYSH7kbqvlDEBzX1Wkfm3N8fneIiPYoNj/2yCb9uOqmWfWvLVHQ+elCL0rxmhBIkffGDFTwKWqumYsiyVm4buzqYYFYNS8+dK3cOaIEJfZoi8auXLWKIHwJCilBn5AVocufzZa6fvmC9DzijNYbj7hqMzFum+H6MLKT//Q9SvvxSXQN1rroKV+d08CC4GTHD8DKuNT7r9hgaUIQZR75G9p6TyDC4Jl2U9UsdlM4RawdH8flxUSEIuaAP0v/4094xoNNhUVw3vNvjGhTK2OdSHx+NsGFDEdrnAhxLOI2jf9qjB620feYxHG/TDbdN34CzZU6DL9FpyASV3Cz5tyX2SGMf6/CMOy7AtZ+vOev5n1zfA7d+s77Ea9BthF1UCyRcuxhD3ne/fuk0+GLBG+oc6vxMSjyzaTEOJP7fjbi5sIvnbWg5E51ueAsZy9ch+Y3JMJ5MgaF+hBaNXfeE6hQYnPcOjDrviY68oYcZJjfXskFnxuK4jxGXvNJ9NHiTPCRcMBlDVrT3eg1MyH0ORjc2GQZTIRY/PUL7PS1+jMVeYuJWWxSzu/ugvnUUrvpsHXYXE9IcqRtqwCNNCxH+8RSXeY0G90dQ27a4PD4URkuCJaftMxuxOOgRW+eKu/1XhDdERkpjJP59FIV52jUX1q0Zmvw0r8RnCWHIGwuQ72Zkjjp+Q3Jx7bIo98dXb8K83EeQN1f7Tv86gWg94jB0bYbAtHchTq6rg4wjdt9pfagBpux82327wQPXISrtE8CY5XrgBj+D+HZ348pPViEr33MU7ZzLgxC18QMMOXqz2/ucH4rw17Gn4bex0MPvhRn7z4vD/W0e9vwdhqfRSX/Y5RxENMtR9g65pw04kNoQGf7F75Nm1EEmjvZsiGfC7/S6/qgQA45ltUfa6mP236rhvdBk7Dhg3RcYEn+px0jdGRccx7UbWnu4BgqwKPBhxPlnAQ/v1iLSHUiZPh3b35uG24c94dZKxvE+og8KgJ9fLgpz/Xy+T+pNRWgWHYxDaZ5tQoa2icbS+NModJNYTK5RGRUlHAurh2cvvEtNdz69D3fumINIsxEXrVuGimyPlCeV3R6r6ZTL8Z0cWd6bRdwe53JOTOPA7vYVNPKPONFhz+4KOSLNn3R95iflz+HXSx6NVdZ7bbWOtDUajdi4cSOeeuopW5k8OAwbNgyrV0smXVekXCJzHZHI3Jkz3USe1BC8DX0WhnWsj8COHWyibd6uXWg7YgQmDmuDt/6NhwQxPvbrVvz9wAAnUcyR+Fn/Yu8rbyHdEILt7TX/v3rZKdCtWwVc5jrkXQS1o7ffDuOBA4gIroMAUyEKPCTIONakrRIjJPlQoSUBUWmy8fqUAGnNUiQ8aBfdCk95t2xw5OT0JchsM8Bj9vXUzreiYMkKz5EhnW8FxDf3zUUqUgItrgCsDgjrC2HYuAgfXNu9TILY7G0n1cuJpvcATbWGQNu6QUCqJeLsLFhYz0uUuk6H/lcMQ2jWPGClc6STYflrmNbmQty68xIsMzjYPrhgjVhxz7bj6fi/aW6u+U7XI6BDAd5LXICHc89DvpcIIokGNls83orzQ5exGP3kaAQ3b4boGyyJdP64C9i2HnVa5uDwYc1LzhMpM2bg2PE9yPrX7hsnCdykDqePHIFuDbvgVzRQ5atDz0Mn0yHbkNP0xT1wqHVP5BvcR1pKvYg/lYG7v99kqSMS5fQKIPmIVq1QYsAnfrOQjyfcft7sg7X5Z8sP4bNlBwHdAKCXQ1RyCmB47T9M6xKP/MLzvK7DoDN5tBnxCbenX1POkn/+DzmtPkd+ofsILzkuW4+m4aFfthS7jiKAwQ+pxvRtGxcjv00795+HAdOC70S+0X2ElxF+2JkAvDzsSY+N9TdWfIIn+t/tcf7iJ4bC7O+P9B4DkTb9UxScTsd/HQZidmyPkuuo2YzMYsOhHclasBAHV27UxAQ3nQu6lQUwr/Iu2A7QbcVys/shwULaphNIXPIQUvaEuw6bTrwIqX3GIr+wo9vPyjmZtmS/12HVK/ef9jr/45li9+AqiNtI3A1snwms+cR1XpM+SDXqPa5fzpmI7W26xiC2wQrknDao5E/GDH/oA0woytd+F1MXLAYGeRZtcfEbSPtnIU4+86ylQIf8k5lIOAkkhjXCvpCGMPY7e8FWcCfYCkazDptm5ONgQTuk6eWh0AyEW5TnHTq01SegYNV05Be+4vkaMI5xK9iq9eslWtuIuK0fuori4hks3sGWYe/Fk+3te/hxvHTdq14FW+FMthFPS7vGTR2Wa+jpb76Fsd9t7rdPZ8DOtU1QWBCKnIRCl2j4vPaZCKpbgNzkLKTES+eH/TrL2nJEWQKU1DH0caf9yDe39Hj8vt6V47kOm/Q4kt4d9bFVvY9ukQSd3qwSuYn+1uiCNBi69EfybC0a2WQddWPBr2VPoPNs4JtLtOR6Dhxb+BluWNASWQWe7xEGcwGi/rlfidqLArfbRhTsNcXh8cI7UYgAFMEPa050wIWwJO0qRlZAMN6sfy28kXYkBAnpzZGxx+h0Dk5v08Qd6djyJHpaO7K88cHpy7A4vDsKxO7E8Wc5DTB8m4S3A054jdR9eo0/8j34dOQjQB2XuKIzwKbpmt+1hdwdO5H49hRkhMR69P6W8uzwYCA3Daa8Apgs0cq+2kuY9H5eBVth4b4UzSfawzV6OLwBXu5zk9M2bq/XRnU6q46XtNzqmVCSEEIIqcFUa9E2OTkZRUVFqF+/vlO5vN+zZ4/bz4jvrbvlpdwd+fn56uWohlt7mOV1rpHvlODo0nx3ScvK/MD2MqQNNtE2bNgw3NG/OebtOIXtCek4cDobb3z+L66f9ykKDh9GQPPmKjomsF077J+7GJcfjHIRA06HRmPsynzM73ICTZs1sH9fTg6O33UX8ndpvUqNIgLx703nISvCHrXw9/aT+HSZNiT9m27j0CthB8JST9tXbk3+MvVjta3eOJOZ57Wxv/eNd9FgljaEsTi6oEBEXdpDsoh5RoYs3ncfYp96ElHXXVfq4y/RY438CjXB1g1S/r/vNnptrFy/ay5+bjfsrBo60hDYU4Jg26d5FNYe9p6syxvhJ98Hju9yO8//2Eo8GpKAZYWeM6s/sOlXfNL18rPaP/nM3wMnIH+f3Q6kOPc2yEev6W8h0yEK8kRoXbx7/tXICwjC5jrN8NqWTDzfpEiz+zBmQbd7lmoy+0eHI+TGV4Hv3TdkhfTffkeWhyhIEXJbB6yA/pLJKjHIxvrtccdOGQmg7VPW3hykJx4A3PcJKF79YCbyIxp7FAMmF97odUhqnbwMpAWVEEnh4RhLVNtb272IZaJV6dfgbv/ZuMr4vNsGswguN5xcga8ae97JuAvPAP+YlYdwsQ1T4plZootFrPbAPTM2ea0j09p47/yZn+496dl3HUZ6baz/1n2Y1/n/fTkJr6cPhVH8KTu6Ck+Xdm2Iq3+dgtQTSTZ7jpmt+mNh017q3Hw/4Hp0mfUy/Dz4KYro6On7zSUIIcLN/vOwJq+jR9G5aLsOKblW6wjnYdPJS04Ahu+lpnpc//zdXvxeAbwzf5/X+RvSvNdBzLwLcBPhJ1GWYYU/IfuoRPtrw8PdUe/5SWgwvDdOvN0PaYYiqHHUFjJPBGLFifPwc+uhXjfh2O03w++I+/0ozAKMJSS6unfLb/is82Vuz4GfqQjBBTnI8mLVs7reefi17RCPn+8Skis9EB6ZD8+5AoST91+PVo1XI1gcQopR9O+rSF8ej6TfNzuV5/gZ8Fzf27Er3TmxW2k61QTZp1d63+h1+/JTA5CTXuimjgJnVGeD0zc6TGsdQ9mBdyK/8Br36y404d4tjbx+/5xTXvzNpR7Fp0GeTqUjQDoDHTG3uAh1b/wOaeuHunYqy7PQJ9MQ9lBfnDSGINVsf8ZNNYfi8YK7kARNiGuZeRx3b56JoCLH33wzov0z0GjYGfVOhFtlAyD9nvrDSM0Nw0sBmtXNO93Ho8Xik2iUc8Zp+L8Itk9feCeORdif9dwxxe9qPL/3KwS6OQcl3adKEmyF/yL7eJwnwv0DhQ94/Xy89GR7QRuVApjXfwFz3/sAvT9M2dlIkGAQi+WMNxr1S4VujgnmQr3LffLUNwuQ4yfPwRegovi655Uej6+IuvK83DCiWCK2cmyPlCeV9b2EEELIuaZai7bnAvG+feEFh+zHFk6fPo28PN+y7Jb3Q4qET8uDkq/DkVJSc0qYn4q6Dv6/GVu2wpSkNaCfHByHm3/MQEGRGd8cKUJUXjhaWH3sJr2lhvWqh2wPQ8Mlenb7tTejoE1D6Bs3RuHGjTAdPWoTHXSRkQh580341Q1DCOzi+M3nR2HL4TNYezQDSVkF+LDNKDy17jvXbLz79yMxMdGrb25J+5+1aJFK8uEO8TNc2fkaYJX7rNwSmaB8ymSY2CuvquQP5pwc6Js0QfDNN8Fw0UUlfn9GXiG0rgAvlNBY6ZO4B8OPbXQ79Foea39rMxjLG/vmyeeOi9tHehVtx8UmYmaSc2eII/qCHK+iYUlVuU16ghpW6G7//IsK8H2HUVgZ5znC7R8vgq3Qa0g3NPgJqJ9mF1YlujvcmIPnLrwDRTo/fLvmCKIMRZjQvT6C4v9EnYIcVY1/r3MbXvi1bMNaIgpy0Db1KPZEN8eRiAY4HRSJenn24U6ZAfZhse7Y70GwtXJU790L+sFNv+CVYtE3ViRJSbOMkzgQ1cTj50uKkLvXf5Zq/M868zT2botziZyuF5yG4H6F+MrkWbQ1hJoQGFGoopKKCyqGiEKkd7wa2IJKY7+X4yOsCncfZWrlxVTvnU9XdIxE02suQ91Jz9vsE+7f+gf2RDVDQngsdpnDMLPnpbhy7R8un9U3bIDIPt63rzEScVxJRu6J1WXgm20fIyWtCLl+gXiy//9Uh0/d3FRMWTZVDfl1jyaqVzZ5af5ITgzF6a2RLlGW0JmRFLEGGOxZtJ24KQ9XHf4an6U/B2PxjocYy6sETuQbPF4p8XWa4O2eE7x+vlfYXlyw9FWk6cJdroEoZCK/eSBua+FqC2VlRgcHz9liFOn9sDnN1dqjNOQl5OLwrnoIjslHUb4eBdn+8Asqgn9QEfLSDIBplWYREqmpunl+BnzS+TIcjNLuX+HGbDy2YQaiJPFfMcKMOfinRV8lOnui0L9sUcqe0eqwTiVVcy/aCnlWL9qzpVATlKNaZcMvwNl7Q394GTLnPo/CFE1MdXkWOnQIJxZvx1APSbqEpjiF11Z+hog8988kB+fWg2H4MIS3N0C/5GfVuZGf4Y++5m24qOdmLGt8PnICgvH6uCfwlf9fKJi1RB0XY5Q/nh/0MPYVRZfYkbo5ti0euehe3LbjH4TLc4EDBf4BWHeB96G4rXOPYn+wd2G1IsmP7Q4kH4IuIwFp635CfssRyH71VRTIc638TkV6F279DCZb4jhndCpiP/GH1cBgz6LtZP+vMbnQc8LCW/z+wddFnhMrHzZEldgeSAqwP4uXd3ukPMnM9BZNQQghhNQcKr8lVQZiYmLg5+enRDtH5H2DBu57+6W8NMuL9YKjnYJE2opnbr169SrN01YESvl+Xx+Skgq8e91ER0WhQaNmyAwOVhYEBWvWIPvOu1QkbZ8LL8T1LQ/i6315Ksrlne4TXCKs7tg+q6SNRuG6dYC8ihFzxx2I7uU+o/G7EyJx8QcrkJ5bgGWNuqJv4x0YdNw5SkfE1qK33kL9yZPhFxZ2VvvvKbmUlBW2aodftmrJtIS3/Kehg157ODf1uBVRF94KQ4ODSPnsM1VmTte+y3TwILInPQ/dyJFAXWlguB92LYTnZyEz0HtjuUFWMk6FeVYFom68EfX/+BaxJ0647geAq/ct9iraTh7bAZNnexYem8TWRaD/UY/DQsemTsdMeE6mVpJxtim6NeDFkSL22r6Inr0GsQkJbvfvmr0LvYq2JSHXAHJcG7LnJ+/HxG1/4p2u/6fev7/sOIJCQtF/z1psKeqCqYWXYf1haWR6TlCktn/Sc/B/92UUFt9+nZbkpv6VHdFr0R4l2gqb6rfDyCNyvZgR36gp3updikRhZ0Hdomx8ueg1pPuHuYhBEoHlP7g5xheevedxlq43Ek81AFYfRuvC4y7fEYhC5IiHoZcoP7OfATGDI5Ew87RLgheJlszMlERnnofvtw7KwP48z/fsrkl7sTW2rcf5twbvw1e5bVBZRB+eg8b/dz8yIyNx5uNPlB9oRIsWeHVQQ9y8qUhVq28b9kGfsOVonJXkdHwattqFVf4xgJek8C8EfIN7Ch7y6PVYp++NaHrheTgx8UG13s5nDmJrvTY4ExyFkFtuQ8O89UiasRhFeY4RZBpmE5CW3ES5UXji7rqb8MmZ7h7nd0vciy31PZ+fm3b8jemdPHtKJayNRmi69RovFuHnEr3tSmJWAT7KKptY9EbP63Dz/gXodDLetgW5fgbMbtkPy+O6ldg5V7djFppFnnJKdmfzde6fgsNjnwbcO0OVC1fHL8Qv7YaWaM2Qmxxo267CHH/18mXo+6MbZqBXUrz7let0GHdJb/zqJR9e3TADzmR5vok0+e5bBNx/KwqOuCZF9KsXg+gBzZHyz1o3dVjrGCq0xId6/H6k4Qw8R9Pe0q8Zvl5VQtJQnRlRbbPdzgpb/yEMzQfCuG+fy+9IYIsWSOk+GPmr3Qu2wuTIOagXmI78vOIdXxrGjAAYf1+KLPU8ZK9jsuTELb/hYN1mOB4cjX05erzc8X+496nOyNkwA5MCH8PeLC2St66hEE+s/RTBaXa/XWFH3eb4puPFyPcPwoE6TfB0f81PtbT2B09daMLdGwpVVGhxxGbrkvBT+Cvbcydmy5A8HMzxLK6/evl5ePrPnR7nn16Qg+xGBoTGGlFn7VtI//QJpK7Vzrne34TYzt674M09boXh3w/ddj7K+2NhrgmUHWnSZTACNxk93qcv7NoRX3vP51fis1BsbGSFtUfKk6CgMnaSEEIIIdWEc/8rW44YDAb06NEDCxcudHqIkPd9+7qPmJFyx+WF+fPne1w+MDBQibOOL0EeUCrrJQ9Jpf2MN2R+9sKFSrC1Yty7VzXO9/Xqja6fv+Hxs9L4+rjblV7X7xfjQWzU6ZAxZ7bHbW4UFYKXxtm9Uqd2uRyng10bRJn/zMWRq66Ccc8el3UY9+1H8gcfet2+2KefQqO337Jtk+2/2Yw/R9yqfPSE0V0a4qrhA9BJfwSdhl6HLpdNRJOYcNR/+CH4N3AfoZb177/I/Psfr9//5qHZ+CTE+9DfJ271Puy2zrjLUP+Jx50bPZb/Mfffh/Ce3vxigaYn5inx1R1S3r5RpPL+lWQ+s+7th2+u7aD+y3spr9/Lex3Q9bhVJUNxy+BnoL9KhrZ7JvT/HkX9xx9zu39hI0fAv5H3Yam39PMeCSp1RRLiuDQYdTqMCUzDLRfaP//GvHiMPXwVbi54EuvN9qggT1eZQQ80vrC3++03mxH7xOMIv/t9dO9utwdZEtcN+yIb4fPzxuKR3vcjFd5F/Wdaa1YinngiU/Or9kTzH39Ct+t7oHX6CbROP66ijLX/J9D5qt4IvfsLr5+/Z8vvXuefnncIKUuOwuQ0JNSKTg1Vj9JlqkanOwwwIrrbWES8vkwlHQusU6j8HuV/XP80RDTOw/Ij3iPa7yv81uv8kUc8J7ESYtYU6zAqxrOjvUeI3TO4lfdoeZ17+xAr+o1fq3oaOXIkWv41E+23bVX/B141Crde2MLmrTt14BXwr1NkOz4N+qfis/pj8UIJonv9nleopIiSyKf4S8qbXPyw+u64D95HYOO66JNo397NXQejzuOfosFNEi3smKHL+l+H1I3eR6a0PLnG6/yLE73PP3/khaoT0ROrGnnx3ZYItCGXoaw82DrR6zYY/Q34rP0leGDwQ8pDUl6PX3Qvljc+36eh37qetyHixkcQd2FKsWsgBRE3PAJ9T+/nuH9r58RJxblxp/ffqs5tvIuWf/QfjSLbfhTbH8loeuV4r0Pfu344Bf7RMqqgeMecGYFxUYi82NUf35HnRnuPZvcPDUXsI5ZO+GK/Iw0mTULMq995qMM6xFx5EVabvF/jz/n/4HV+l1jvIyaOh8YgslkuAkLcD/vWDX4a9e671+3vSMx995Z4/mNv/EYlvHJ3jRoaOAh1NkHYfg5DCvMx+cRCBPprZf/uSsSlq1vjmoJJNsFWeO/6fhg1qrnLb8m4gyvxff31KpmcR3y4BupfeD1m9w9SiRc/XPKe0/85A4Jxx62eI6GFB8Z6tx4IMXiP1i48mYyji2JweEFdHPg+DyfX2o9bg57p0DXz3LEk7Gx4uYdzoEPB4PPxWc+rvH6+/gXjsSjiBff36QZT0aCf9w7eFy/1fo2ci/ZIeb4IIYSQ2kC1jrQVJAr2pptuQs+ePdG7d2+89957yM7Oxi23aMOHbrzxRsTFxSmbA2HixIkYOHAgpkyZgtGjR+Onn37Chg0b8JklUrImIlmNRXjzFCUp88Ub1i1mM/wkTKoMNJn2CXDJQFe/L7MZxoPexaZLuzbC/F2JmL31BLIMIXjtojtwz8ZfERDXCMFdu0H/91+IOZOAgiNHceiqq+Ffty6K0tLgX78+9OHhyN+1C9mRccBgezKf4sTXa4U+/ZpDFxCA5I8/VttkaNkCebfeg+/XahGUBn89nhzVHojurpKpFKcoxbN1gNgnSEPekxdkl28+17JRe0mSFRkSoMQ/d763KoFIqEFLyPbB+077EHPvvYgYPhwxk7oBxnEe1x+7/TMsenS1x6zY1sQU8l9lDA7IV9EYtofmi+6AYcV/bqNfxEIiauCdgDW5hWOSGhFyBz6OqLRcz3VUV4iokACv+5d2PA34aKXH/euaJIkGvdhDbJyuIstVghxr1LW1MXzvPbiiQxy+XnnY48efvrg9RndthGMLlyHtl19QkHBC1dE6V1+NJkMv0o6fl+2XZHlPZosXn7b/W2Lb4oHYh0sMBlfHx1+PVv2vBvZ7Fh3b3f8IDN9ucF9/9EB0RLDKXC2JUMS7UYa8SmRZzDUjEfHgVCDBe7R6u0tHIuCQ5zquLEQ8oQMMrdsiTrcUiwIfsSXAeb3gGqwwa9HTt/nNRdzmX4DLJqntDDv/DeiWvAbzoKegb9YX+T/ehB/yPNsLiBgcocv23jFQkOv5OjUVokHaKY/z5Ry0rOddWG8b69lrVJjQORxrZfS1J6KaAzJs3E1U/qPDWmPhytU4bG6ALQFt8PPQYRjntwqnzdF4sPB+bCtqjRLpeQvi4iIRF1zg5hq129/IdSivCcnZ+OxtSf4FLNyThLsGtnKpQwHhhQho3BzZOxNUHRDfVBmGXxxDUQH8VhcioL/nOtSjx34EFhSoZEDujn+vG67At7fdjuSERJsWsrdOY3wonYo6PX5vNwQDMw6iRcJe5w/rgMzzzseXQe2AXPeCq6x/2g3d8e3qI1i8x8FbvRjDLr4Sfebe47QNQp5fAOZ0vRhLI70L91f1aIxZm48qH2qXbdCbEHXRHeo+Kl3HEaW9j/rrcWv/llix383wegvtDAVer4GOQfMRaOztcfj90oA2QK/r8ej6H+Bf7LlB5x+A9DFXAz957vzwP/I36nc47jaSOKb5fhzdON2SaNE9EcH+6vci3+z6OySacUm/k2odHu6Dq4Y9i9e/3+jxu9Vnu45B4Fb3x1+Oa8jMnxDof75Hj/2vOo3GFT1bAwfddDRbzrEKG5Dtn/qxskSQCFsRbNX2l3Cf9rZ/cp83HjmC9L/+QvLHn7i3UInfjP/d+RTeX+g53FkdY4/f8TqmxCfh5q89/1aNOq8+5u10Hg3n7vemYZDO7TncUcIxUHXEyzXSIPuMl2ugyPZbpkWTO6MLq4Nt3Z4HTnh+rn197h4MeOBtxOFRp+MT0smIW+PGIS3Ls6itnqUOzkKc8RDi3OmVaYeBQ7MR6B/jcf8aR5fg/U0IIYSQKke1F23Hjx+v/GUnTZqkkol169YN8+bNsyUbO3r0qFNvbL9+/TBjxgw8++yzePrpp9GmTRvMnDkTnTp5j8KpzohgJNGQ3gS5PYc8PGTqdAiXxoCXYbWd4yJVsjJP6PR6BLZsqbJEFx/SZ2jpPtOyI/cMaqlEW2F3cH3c3/8+bUYGYBj0ML498Asit6xVVgmFFi/egmPHfBJNhbf+jcfg9rFoYhEjrNw7YxOMRSfVtESyNVERQO6RKE13+ydD33u99SamT3oVZ06nucyPaVwfcXU0MdVbQ6JdgwgsfnyIsygYWoQ6zVPRpGE64sJHOwkqxYnqdxMMi40qEYfLtpuNar7Ug7PNGiyfk+iXva+85dLYbvvs4/b1WgXvxa8Cg5+2vXeqo9Iwl6RShmDAmKMiMONOTAGiLve4f9FhgapB41Y0LipAk6N/IBAdPQ4pjNr4PiJeOOCxMa8roSHYr3WMdvyuHAnIywOetl/221NDXvi/Ho3xwJDWyv/Ydnx63gr0uEldw2dVf4qLypYGfUT3N13OT0kdPz2vvRRfjhiJdDf1K6IwFx1vux5BHdqjIOk0EsUj3F491P+Y++8HDP0Rt/gVWwKcyQHfYoTxTZigx49FQ3DP4LawyZ4XPYbE9jchVry49Xr8cP4POLlU6zjpptuHlwO+dtoGqUMIb4TAM0XIN/u5FcQ6tGpg801ueOOFCEr8C+buN+PU7EMwbFqnPFu/OzYTIa++CX2gc4Pdl3Mg9w9v8yO6XwFs8xLtm3oI+GIYcM0PwI7f7eeoxUUInvs4HvMPxL0FYl0AfFE0Rr0c0UHzHSwymT123nm7RovTIiYULWNCcTA5GxuPpCItx4g6IQa3dSh73ToEPPscGmYl43iE9ts8efWXqJuXYbtHy/F171ttRkxQBnreFItFI3sgVWQrN9eA1OHwu26ydLxo9ap1RgJOhsUoT+9C6DFl0J2Y8uOTCDQX2upfEfR4vef1SEvTBNsezerg+THnQS8qn8P5lfXXCwvyKtoK5xXbBuv/kVd0wPf+LfDmv/GeLR76NceDw9siddnnwIYv7TN63qYE21LdR4sh++Cu3JHOU17FF/83Dhl+rsOOI81G9HjraixaZO9YsbLc1AlvF16NIvhjaaOuSOkXhlt2/a1ELuFgZCMsadcfm70ItooNXyGiSR5wYQqSd4bbBb9OmSqaXu7Tgf4feb7PheZhkeFhpJrDVCdH2pgvcPv0Dcgr1IwbCiyf83QftlK8Dv8ddQMemLEZRW4sBWzfrzeh3fBbsGi4dj+3UnDyJBIeeRThGWdUHf/r5c4o7HuRbX7qitV4emmCSuB1OiQaTxZdii8HRUC/xFWUt23fiBEqAWtSUpK6B5Y24tDTfd7QrBnqPfAAMhcsRL4bCwZ5XhvesYFX0bak74gJ8x6tfXWvJlgcf9prkIHXZx0vv1XSQSm/hd6uEf2U1/DFgvnqPhR9661Y0LArvl6lddhe0q0xukR0xKnvpYO4eF0w4/SGQvweJ9YK2rPiy+M6oVuTOigsMuGF2buw+ViasvuSOvnHvR+gZfd31PEpgh/uMk7Erizt3tcgEHhg4TSEF+Y5dSC3fWIi4tZrASiKHrcAG78BOl0J7PhNFcUtexyLbl2I1MA4t/uHNdMQiOaen4W2fwXEuc9RQQghhJDKQWcWB3niM+JpGxkZqcz3K8vT9mwf1L1x8LJxbkXHwHbtkDP1G4zxEgX61c09cff3mzw+ZMsDcvi65W6jGOM+/MAW4eIJiZzw9v2z/tcHgRPGwpTqJhGOvz/qP/44soePxoPTV2OjZZFXj83Fb50vxibL+w4NI/DH3f0QbNAEnY1HUnDlJ5o5oAznW/LYIIQHeR42l/Hff173r6T5gkRblhTp6sTPNwC7LX7CD0WE3VMAAEs3SURBVGwGor0L4Ak/P4xji5Yj7UAoCrL9NNG3VTaaXH4t4kY9VC51UPYz+c0XYDxxBoZGdRHzxOQSz69Hds0CfrlBmw5vCNy3HvCUGX3pm4j//utiSa4sonHXBLRrdAIJ5rouYoOgROEh//MoTgk7Zn2AMas8R3jN6XcAnS71npW6LHVcbCg6xXn3mbPVHw+CVlkpqX56u4e0nPmncx3xEOUm59ExyvMh49340zRATT88vC0eGNrGpQ5mGYsw8M3FSM3RRDcZJipJz1y46AkkdH/IoyAWtmw+Tjz+hCqKvOIKNHr1FZx68SWkzphh87xs8dtvCLB0CJ7NMfI2Xxjy9hL391EUYFHgw5qg7RcIFLkmitlhao4xxlc9btsbV3ZG/zb1yrWOvPL3Lny+XOvwe/+abrism6tQYGXPkdMY9Ynma97hzGG8s/wjp/khreoiwHQU6YdC3fq1Rlz3IDD4qRK3qXj9irj7Hty4Jxi7TmoC8bWN9bh9wae2+T+MvAtfHtGOecPIIPz9wABEexjC7et16qmOl+o6V9eCd+G8tEj981jHLL/V+TdN8H4dF7tGrSw67zXctaW5Slp6tqj76KbnPC8w+BkkdL3f8zUW/x0w9zGtYOAT6ti9t2Av3lug2Q+N7doIH0443+s2FL9Gl+49jSn/xcPa13FJ5wa4K2wl/DZ6EdWLkT5rlu3eog8NRYs//4ChqeaPfPiaCTgcfwQPDHoQGYGaaDdxaBs8ZJjp9fy7+x0uj98RwdvzytGOvcv0Hb5so6cOBl/vU47nMGfzFiS+9JKart++FXpP/9Tj5wpTU7F/0GCY8/OhDwtD6yVLkOVnQL/XFiLbWKSukdV+dyDp1zCY3SQT2123GR4ecL+abt8gHHMnDrAlyU3PKcBlU1fg8BnNxqdfq7pq9JZ0Dn3+8x/4K0nzsg33K8CfE4chdssq13uIYQuw+GXtyzpeBlztYPkze6Im4AoNuwG3zQf83dzHJtdBgjna87OQLgWY7D1xa0W3R6pLe6ymUy7Hd7Jv/sikjEz2IXfLWbK7vXdbIFI+dNhTtoTWnmj+5N8Vsl7izOHXPefUKK97bbWPtCXlg7eh4VraLc/EhgeVGMnrbWh4WdEHBMCcneMxyjf6xhsggy1zgiOAtAz463UY/92HGGMsxGUfrcSh5GzsPpmBp/7YhnfHd1O7/+Ic+83z4RFtvQq2QolDLn3Y/1JHujqKtCmHShRt4+KaIK7hXqAhPA59LislRTCVig5jgTYjgH3/AZkngcWvAaM8iFKLX0W7ODMamtxEaDXSvDTj2vdBXLw7z0YdEOk5cYlCBC684n1+GUTb8sBWf+IeqJBtKal+eruH+FxHbBGE2rGe6P8HZhX0R5FZh8+XH8RNfZsrqxBHPl16wCbYXqZf6V6wFZa9ibghTyNOjk1knoMgoh0r0/Dh0Ie9BFNWFjLmzUNgmzY2wVasU5p8+KFXwdaXY1TSfJdoc6uomp+AuLn1gNNn3Aq2ihKS+Z3XKLLc68iQ9vVtou3C3UleRdt/4lNs0wMTtjjN0xkMaNZrhxJpwxrlu42yxNI3fBJt3dWv97tlKqFIxMoZx00Y+ebnGNi2HhbHJ+FLy1Bt+V346NrzPQq2vloNedqGUiPXQjmJtaUZdZNR0nVc7BpVDH4GQwbeg8lNjuCZmXIe3VMn2B9puV6G7fS4yXJturnXWqJNpYZ5vIZ2/WWfFlELwO0DWuK71UeUN72M2LnropYeRUVvorYwpnNDfDDhfOj1PYA6rvcQT0ReeimyV65S1gOm7GwkPPwIms/4Abk7diJ3yxbIXeW5U0vwRPPRShx+f+E+RI75P/S+w5KsKyHdJ8FSlhErJ2MJ9bMkvD6v+GDBUFbKMuqn+OfNjS7CwY8DYTx4EFibgLxduxDU0b2va9rPPyvBVqjzf/8Hv7BQSE0Z36spvlp5SNWL71u8hDHhr7hNJDazvdbBaK13VsFWkN+tL27qiUs/WokcYxFWHTiDS6daLZ2sycfMeFn/GVrrz1PPzE73kOwzwPua7Rt0fsCQSc4bP/JV4PBK4Mw+4KSIu68Aw19wXubkNiAoEnF5Z2wjWlzwlHuAEEIIIZUGRVtS4kN6ST551sZESQ/Z5Sro+WhP4Gi/cDxVE3Yb1gmCn16HiKAAfHpDD4ybqj1Ez9xyAvXCAxEZHICtx7RIAxn+O75nE5+2ocQhl+W9/06i7UEA3pOV4fgGhze6co3gqhCkwXPxm8ChZYAME1w7Deg2AWjQ2Xk5GWId3UIdAxlaq4bXFsc6vNRtlJgZmHk3kJUEXGgRK6zI8N6V75ecIEXEtVqOLx0TPuEw9Lv50Ntx5ekm+GXDcWTmFeKLFQfxyIh2tkVPpefhyxWaaGjQmfCo/y+e1yv13fE7itV9fXAwIkaP1hruOTlIesOegLHB5MkI7ubFE7mc8CyqRgLtxwCn93j+cIsBXkXbiqBn8yiEB/mrc7MkPkkNA/b3c424kgE9s7dpVjM6swkDEra63qcHX6euTc/XsMP5KyVt6ofj6Us64PlZWlb4iT9txguXnodnHQTGx0e1Q49m0r3nm+gpUWYpqakq27pEmZVXRHtFU9JvtU/XsQd7hq5NXBOFOvLm/3XF/T9u9i56uxOFA4K1e7M35P59xCKC1W0DxGrCXFigP+4b0loNT1fb8G88vr21t9tVlGRTc+dFLe22GaUU1es/95wSaMU3Nm/HDiS99z4Kjtm7xIePH4GDga3wydID6r1jx7FjJHRJnULPj+loE84v7twA9w7S/KxLWz8r6nnN146P8kKEU+m4PzVZEzBTvv0OjV53sBiwYDYakfqD1kknljtR19sTekki0m9WHVKC+rcnG2PC+FHI/2yh04iAkyF1saJeV7V8bHigysdQnNax4XhsZFu8MNtTRJUOrXQJwKKXnKNoheVTAGOmNt39BiCmmE+52Mpc+YVmoWMq0J5bsk8DW2YAg54CwhsA/zzmudPPjQ0HIYQQQqoGFG1JiQ/pvkTnVDYlRfll5BUoYUFoXMfuTdvW0pi3Nt6tUWNWjqXmIDEzv0rsowsiVDpG2npDjslxi19mYATwxBHVMKnyyD5e9Ciw6GXAXATMeRi49V/7tqcdBWaMt4jWPjREHMUGacjknAHWWYZLLngeyEoEguoAS14D+t6nRawcXo4o1FV+b2594KwJgkj5NfQdBJH7U3Lw5+YENez6qxWHcMuFLVTEnvDewn3IK9Aa/9f3a4UmEXd6jdIriYDG7iNF9eHek4ydE6TR7g01NNZLNHgFEOCnx6B2sSqCUfyWNxxJxQUt67ost/NEhhrRIHRJPohoY5Y2w/E+PdAiCpbh/HljaIdYvDB7pxJe0nIKMPEne7Sv6HCXdHYcglCy6Ok2IWMVE6wq9Do+i0jgRr4+SxQXbgtygd2zgc7/53nlMt+a/U2ibB062q7t01R17hxPzcWyvaex6kAy+rWKQWlx9DkuLRK12WjKFByeMEElZU356iv7eiMiEHnJJbgkKccm2hZH6owct5KeReQatDKhV1Of7BBKQ1nrcGU8T0qkc9I778KUkYGMv/9G7KOPwD/G+fzL6IrC05pfdfjQoTA0to++ET/yizs1xN/bTyI5y4hFIx/HxTqTUyKxhZdMgClHZ/Omlohnd/Rq7np/dBsxnrARiOthf85Z/7k27R8MDHzS/ecadQOGPgfMlyhcM7DlB618SbERSo26A836Aqun2sso2BJCCCFVFoq25JwMV6toSooOSkjNtS0bF+W8H5IowhMiFPnSUKoUHCNtJUmRN9KPa4KkENe9egi2Vvo9AGz9WRv2d3wd8PN1QPxcoMfNwJ6/gWwt+ZwSWzuMATZ/770h4ig2iJgdFqtFtghrJOu1hdX2DN7i87aofzxSi4KAjV/77GXoK9VFzKkMpME8vlcTfL/mqPIVFDuEJ0a1w6Ezufht43G1jER73j+kNRDqfui2r+JSxpw5roU6LUt5RY0S8BmJaHQnaDpGe6/COWdoe020FRbtSXIr2lrnC5f1b4fAM23dR3F6GHpfHtFfItS6ycGmsAq5jaNQoVSHDtAq8ywh57zZhcA3l2jvN3ztXbR1Y41gJdDfT3liP/yLFuH9xrx4zLynrtPwdSExw02EdzkS3Ok8RIwZjYw/ZzqVi5iYuWQJdOf1KdP6C4pMWLhb+50PD/R3ey1WhTp8rp8n9SEhqHPV/yHly69gLihA6s8/o9699zqNBEj5ZrrtffRNN7qs4/YBLZRoK3yx/BCufmgqIrq/pTqA0/s/i5nLJPK1CEEBelzbW/MrLhMLJgM3ztI6H8QaqshyvC/4HxDhpYOp7/3A+i+BtCPu5/e+ExjxMuAfqD0zlbNvNiGEEELKn2qk3JDailXQckdxH8GWM2ei/bat6r/jcE6JsLFSYxrG4Y20pESCt0hTIcHBGiGuJ6oV0rgY7RBlqHxpzZp4ahVso1sBty8ELptq8WTT+Sb2SINIInkvFYHWQxSVJD+7eQ7ixjyJTpc9iE5Dr0Mn/RHt/6UPlEt9sjaEJQlL8VdJQ2JrA/cNbmOLXJq++jBOZ+Zj6soEmwh396BWdmFbznlp6oADxkNu/HDNZiUwVjq2/XLD4GdU54Ev98ly36y29VSkqmAVjBwxmcyYY7FGEN/YcVcP8XifLuv5qw7ItSzRj8Vftf0ad0uzfkCMxQ7lyArgdLz75bKT1YgIRVQLVwsd6SzoFqeSQwlif/TvTmcvkfm7EvHAj5tR0eTv0mwa3HUMlZX1h1JUxLswqH2sx2jP2liHo6+7DvDTEs2m/vgTTEa76Jy7aZPyuhXE7za4hyXC1YHzm0ahZzOtV2dfUhaW7D2t3Zsmp+Fnw+WqQ1H4vx6Ny3avjbDYKogt1IFFQOIuYOuPWpmIrBc+6P3zy9/2LNgKofW0ZyrBsv017R5bFZk6dSqaN2+OoKAg9OnTB+vWaUk5PfHrr7+iffv2avnOnTvjn3+c8zFIR8OkSZPQsGFDBAcHY9iwYdi3T0u4aEW+TzqmHF+vv/56hewfIYSQioWRtqTK4xjZ8eWKg/hzsxa19cq4Tqph4lM2YYufrbtI22qLRMtGNQeS44HUw6KOeI6gdfSzbdwL1Y6WA4HY84AkzZPSicimwO0LgJDos0/gkykNeA9hePmZwJFVQPP+Z7/+GhDNXpk0iAzCdX2a4uuVh5Udwm3TN2DHiQw1r26oAaPOa+D8gbM8R754Y1cqXiJRxdihMqI4Zd09mkVh/eFUHDidjcPJ2WgeE2qbv/lYqkrwJPRvE+M10ZeNCrrGSMVS7iMGpFOt5y3AvCft0bYXuxEd9swBzCa31ghWxMf+sZHt1L1DeHnOLjSICFJ3/emrDitP+3NBRXYM/bfL3mkyoqP3pIm1jYBGjRA+bBgy//0XRcnJyJw7F5GXaRHZKdPt/rHRN9/kEoHtmFxsw5GNavqL5QcxuF2sim7+ZqX9nN56oYNt1dnQ63ZgsWXIhPLad+gIG/AwEOzdN1pFzpY0n/fWc8rPP/+Mhx9+GNOmTVOC7XvvvYeRI0ciPj4esbHWJHR2Vq1ahQkTJuC1117DmDFjMGPGDIwbNw6bNm1Cp06d1DJvvvkmPvjgA0yfPh0tWrTAc889p9a5SxLtBQXZ1vXiiy/ijjvs9l3h4VrHFSGEkOoFI21JtcAa2dG9aZSTv5yvQoRVNBAa1xTR1tEiQRJ1ZWrRbCWLttUs0laQBGLuBFshXfzevijb+n1p6JBK5fLz7X6zVsFWkKzwF7+/3OkaP1uUt6rVE1so5o1dJfASiVpZEXBDO9gFooV7LNHvFmZvtd+XxnZxTc5Dag4VMmKg6zWAv0WE2DoDMNo7YH2xRnCkXYNw23iK42l5GPfxKlz+8SonwdaTbW15RatLx5CLqFwOHUMSefefJXo4wE+HQe3qlWl9NRFJSGZFhFo5Zsbjx5G5YIEq86sXg4hRozx+fnjH+mhWV8uJsHL/Gew8kY5/tp/EiXTNVmNYh1i0rBdWtpFjnUcBDbpoBY6CrYz4EWuDkigpYWMZEjqSs+Odd95Rwuktt9yCjh07KvE2JCQEXzn4Wjvy/vvvY9SoUXjsscfQoUMHvPTSS+jevTs++ugjNV/qrQi/zz77LC677DJ06dIF3377LU6cOIGZM52tV0SkbdCgge0VGmrvUCWEEFJ9YKQtqVY0rWt/4Dia4qbx5oto65CIrNrjlIzsIBDpJpFSUYGWUEuo0wwILX0ClkqnoqNHSvILZUOn0tF7iH4qTZKesnpjVxmqWCSq+Nq+PnePml60JxG39dfuS0UO1ggyVHv4eYz+q+mU+4iB4Cig05VaUqW8dGDnn8D519nn56QAB5dq03WaAo3O97gq8S32MJ5C8b+BLXH9Bc3UchUVre4taWqml0hlEWK9icaS7M8qHvZtFYPwoIAyb2tNI7h7dwSddx7ydu5Udghii5A5f4E2Skkep669FjqD52Ms0dpyb5v0l9aB/OXyQ9h/2pJUEcBt/VuWjydwbEfg1DbXET+rPiz5vu9uNIaVGmg3U9UxGo3YuHEjnnrqKVuZJK4UO4PVq1e7/YyUS2SuIxJFaxVkDx06hFOnTql1WImMjFRRvPLZa665xlYudggi+jZt2hTXXnstHnroIfj7u2/65+fnq5eVjAytc7yoqEi9BIlCl+2XRJwiHlvxVK6HDjqYYdL5wexgQaY3F6nyIp3ztki5jHozuZSL7YtOrccRP3OhWq9juaxX1uOp3AQ9zDp7x4nObIYeUu4Hs8Nzps4sS5o8bnuV2icfz4fH86TXq3nuygWTxVrGth65Z5rNMBcvl3qi08FcbNSnvqhIHVvHcp1leY/len2x82FW3+ux3E/Oh/M2yjxP5VVtn6zX2NmeJyl3XIe1XOqeX7HmU5E8erjppC4ya9dracr1UisdymWrTFKuc7w6tMcdE3Tw0zk/hYnNnbnU5ahy++R47Et7nhyX8QZFW1KtaBodclairdXTVi5CGWpdY5JAFU9G1mKA6zKJO7VI3OpqjXAuRFU2dIiDcFvpSceqGa1jw9AkOhjHUnKx9qD4ahYgIigAaw+eQXKW1ggc3K6eKqssqvV9vrYjSfZEtBU2fOUs2orHuWoUe7ZG8JUxXRqhcVRIhSak89YxFFHM4kSun5f+3q2mZZSRN9GY1gglI40libY98YRmt5E87VPkbtZ8jEWsrTN+fInrEM/at+bFIzO/EH9sTrCVt4wJVffAMndsyKiibT+5n2d9Bjob4ZaCbaWQnJysGuj16zt3WMr7PXu0js7iiCDrbnkpt863lnlaRnjggQdUhG50dLSyXBDh+OTJkyry1x1ix/DCCy+4lB84cABhYWE2cVh8dBMTE5Genm5bJiYmRr0SEhKQnZ1tK28Q3BR1co/gcN1BMPrLHU6jccpKhBmTcCB2FEw6+3NBi+QF8C/Kxb76Y522oU3ibBT6BeNQjF2o1psL0DZxDrIN9XA8+kJbuaEwAy2TFyI9uClORXa3lYfmJ6JJ6iqkhLVFclgHW3lkzmE0zNiMxIguSA9pbt+nrN2IydqDhDp9kB1oP9YN0jdVvX1KSVF1zbZPpT1PDRqgTp06OHz4sOposO1T48bqf9qAATA5iP11Vq+GPi8PKYMHO+1T9OLFMAUFIa1vX/s+FRYieskSFERHI+N8e6eqf3YW6qxeg/yGDZHVsaN9X8+cQcTmzcht3hw5DiNQghISELZ7N7LbtUNenD1AKeTgQfXK7NIFxrr25JthYhVy4gTSe/dCYah9BISsW76jqu2Toyf12ZwnuUblWhWh0IpYp4i4OTzO+bl3foIewX5A/wb28kKTDgtO6FA3COgZYy/PKtBhRaIOcaFApyh7eXKeDhuSdWgZYUbrCLvoeDxbhx2pOnSsY0bjUHv5/gydep1f14yYIHv5jlQ9jmcDfWPNCAuwl29I1iM5Dxjc0Ax/vb18xSk9couq3j45nr/Snqe6DvXWGxRtSbVCHnSlV0R6Wo6eKUWkrUW0FQ+74sk5qnVGb0m6YsVTMrLj66u3NcK5ElXZ0CHkrMWQoe3r45tVh1FoMmP53mSM7tIQs7fZh52P7Vq51gjV+j5f24nroSUXO7VdS6p5chvQsIsba4RxqO4dQ46CXoeGEfh61WHV6bz2UAoOJWejhYNftCNWawTrMH7invCLL4bf22+j6HQyspcvt0fh9ugO/2iLL74XUnMKkFPgHCUjHEzOxtApS8ueOLS8RhXZnmde1Tq1GWFb63CM1hULBYPBgLvuukuJs4GBlmR0Doio6/gZibRt0qQJWrVqhYgITZy0+j2LQOzox2stj4uLc44syz2q/jc/s8QlKlVolTTPbVSqCJrO5YUwFGa5lAuhxtNO5RI9J0TmHkV4XoJLeXTWXkRl77eXW7a3fsY2xGZudyjXRJW4tLVut71K7VN0NKKi7L2NpT5PlqhQSV7nrryOw73SMSpVBE2n8qIi+OXkuJQLASkpTuXWIxd48iQMiYku5cGHDyPoyBGX8xQaH48QyT1RrDx82zaXiFp1zNatd1te1fapTZs2ZT5Pcq06IuUSgSqCpiNSll3oWi6cyXNfnpANnMxxLT+YocOhTPt1YN2qXWk67E5zKLfM2HxGxR3byq0JpVcnuS9ffNK13Iyqt0+O56+05ykryz5ixxsUbUm1QgTXhpHByu7A10jbXGOR8r0UPD1MV9skUMXtEdyRoCXOqNaRtudKVGVDh5CzYmiHWCXaCgv3JCrhaO4OTUgKMfhhSHvXhCvnmmp7n6/tSAOmxy3A3xZBYePXwJh3gdw04IClwRTRWBN3axAyHP+GC5rhNYv1yHerj2DSWHv0jpVjKTnYcypTTXdtUgf1I5xHExE7eoMBIT17qURkjuSsXoOM//4rcZSFdPqI7UuF2fSU56iiKmajUxuRaDk/Pz8V8eiIvJdoLHdIubflrf+lTKIpHZfp1q2bx20R+4TCwkIV/dWuXTuX+SLkuhNzZfvl5YhVfCiOa7nZSdB0WbeyCPC13Oy2XFfKcrE8sCWudCovcpuP2NO2V6l98vl8nGV5seHctu1xVy5D/t2U60pbLjYG7r7TU3lRUanKq9o+Fb/GzuY8uVuH1BoRNIsjRe7LdaUqV3vkrtzsftRTUbmVo0rtU2nOX/FlPSU/dVmfT0sRUgUtEtJzC5DuxnuuOAlpdnE3riYlIbN6+Fn9jVIOeU9C5mfQopWqM16SMJXrd0xOY2OHkFLQu0U0Qg3avWhJ/Gks23va5g06rEN9hBjYR0zKQJerAYNliOO2XzSPz/i5gMnyDNDx0jJZI1RVru7ZxJa46teNx5Cd79pgpzVC6ch3iNKyodMpy4qq84zjBlocVDskurVHjx5YuHChrUyGxcr7vg7DrR2Rcsflhfnz59uWlyHPItw6LiNRsWvXrvW4TmHLli1KRHCMvCSEEFI9oGhLaryvrdXPVqhxUVZ+AUCdJnbRtriZdW4qcMbisyKCrb9rL3q1g6JqraTErNv0JK1UAv39MKCNlrE+JduI1+ftqTLWCKQGEBgOdL5KmzZmAdt/LWaNcFmNvIfINl3WTbt+MvMKMXOLfWisO2uEkUz2VyIFx465FprNymO4SuBOuKVgW20Ry4HPP/8c06dPx+7du3H33Xcrn8pbbrlFzb/xxhudEpVNnDgR8+bNw5QpU5Tv7eTJk7Fhwwbcd999tqisBx98EC+//DJmzZqF7du3q3U0atQI48ZpFjGSkOy9997D1q1bcfDgQfzwww8qCdn111/vNIyeEEJI9YChL6Ta0bSus2jbuXGk1+XFSsGKJBmpcUgystTDgDETyE4GwjThpEZZI5Baj6MnqUSqpKSmIjoqSkWO0JO0anB+szqYZxGQ9idl2awRWse69+EkpFT0vEWzRhDWTNOSbwphDYDGvWusr/GNfZvjlw3H1fS3q47g2t5NbfNSc4xYfzhFTYvfbat69oQrxD2GFi20aFvHTm6dDgaHBDGVDq2aagzjx4/H6dOnMWnSJJUoTCwMRJS1JhI7evSo0zDafv36YcaMGXj22Wfx9NNPK6/EmTNnolOnTrZlHn/8cSX83nnnnUhLS0P//v3VOoOCNGsUsTn46aeflOCbn5+vonNFtHX0rCWEEFJ9oGhLanykrTUJWY20R7CKtgcWadPSiHUUba3WCEJcNU1CRkgxT1IRbZMC8hEbG+nRM4icW6RzbMq/rsOOc4xFGPXe8rIn6CGkYVftd0ySkSXH24+HWCP4eB+ojr7GneIi0aNZFDYeSUV8YqZKSta7uRYtt2hPki1hx4iO9X32RqvNxNx7DxIemKjZaYhwa/kv5VUKetLWGCRK1hopW5wlS5a4lF111VXq5Qm5zl988UX1ckf37t2xZs2aMmwxIYSQqgRbu6Sai7bZtdseQYjykozMUbRtTNGWEFIxSPSiscg1uYdjgh5CykzPW13LCnxLSlqdubFvM9v0t6u1hH/C/F1JtukRtEbwCUk2FvfB+whs1xY6g0H9j/vwA0QMH14jLTYIIYQQUr1hpC2pdjQrZo9QEs72CDU00taKYzIyiSCRiCQhpC4Q1fzcbxshhBBSXlgtERzZ/D1Qp1mNTh55caeGeClsN5Kz8vHvzkScTM9FQYEJy/adVvNjwgzo1oRelaURbuVVWqqrxQYhhBBCqi8UbUm1IzI4AOFB/iopR2nsEaRRExSgZTevUUR7iLSVaUlEJsiQUg6bJIQQUl1Z+iaw7C338xa/ov2vocKtwV+Pa/s0xQcL96HIZMaP646haRiQV6BFtw/rUB9+elojnAuqo8UGIYQQQqovtEcg1Q7xcrJG255Iy0OBhyG5grHQhMTMPDVdYx+yHSNoHUVbJ2sEJiEjhBBSjVn8atnmV3Ou69MU/hZhVkTbhfssnbK0RiCEEEIIqbFQtCXV2tdWIk5OONgfFEeGEFoTBNfIJGRCQDAQEec6dNRqjSA07nHut4sQQggpLwY/Xbb51Zz6EUG4qK2WaPRMthH/7klR00H+ejSvG1rJW0cIIYQQQioCirakWtLEKRlZTonWCELjKPtnamwyspwzQG6aNn18vWWmDoijaEsIqcBbEBP0kIpGrA8GP+N+npTXUGsER3/+5RYPW0fyCk24+P3lTv79hBBCCCGkZkBPW1ItaRZtjyo5ciYHA9q4X+64QyOmxtojWH1tj6ywR9v6dwBO7dDex7QFgiIrdfMIITUbJugh5wSrMGv1sK0lgq0gya8KiixDh4qRX2hS82v0cw4hhBBCSC2Eoi2p1vYIwjEvkbbHHSJta3RjxikZ2SGgqAAwFWjvG/estM0ihNQemKCHnFvh9lXNEqEWCLaEEEIIIaR2QtGWVHvRViJtfbFHqLGetkJ0S+dkZJkn7e8p2hJCCKlJiFBLsZYQQgghhNRwKNqSakmjOkHw0+tUIjKvnrZpObVPtBV7BKPDMYljpC0hhBBCCCGEEEJIdYKJyEi1xN9Pb7M7EHsEs9ns1R4hIsgfEUEBqPGJyKz2CAkbtOmAECC2Y6VtFiGEEEIIIYQQQggpPRRtSbW3SMjML0RqjsW/1QGJwj2Vnqem46Lsdgo1kqAIICRGmz65FUg7qk03Oh/wY0A9IYQQUp2JCjUg0N/9Y7uUy3xCCCGEEFKzoJpDqi1N64YA+7VpsUiILtZgSczIQ6FJi8BtXJOtERyTkeUkA8Yse1lcj8rcIkIIIYSUAzK6aNGjg5CabYTJZEJKaiqio6Kg12uCbY1OtkoIIYQQUkuhaEtqRDIyEW27NanjND8hzSEJWW1ozIiv7fH1zmWNe1XW1hBCCCGkHJFnGXmJaJsUkI/Y2Egl2hJCCCGEkJoJn/RIzRBtz2S7zD+eak/GVTsibR2SkVlpzCRkhBBCCCGEEEIIIdUNirakxkTaFifBkoSs1kTaOiYjEwLDgYhGlbU1hBBCCCGEEEIIIeQsoWhLqrenrTfR1sEeoXFNT0TmLtI2PxNY+mZlbQ0hhBBCCCGEEEIIOUso2pJqS0RQAKJCAtT00TOuou1xx0jb2mCPsGeOa9niVyjcEkIIIYQQQgghhFQzKNqSGmGRcDIjD/mFRW7tEYID/Gzibo1FImpXvud+HoVbQgghhBBCCCGEkGoFRVtSrWliEW3NZmcPW7PZbLNHkChbnU6HGs3iV8s2nxBCCCGEEEIIIYRUGSjakmpNMwdf2yMOvrbJWUbkF5rUdOPaYI0w+OmyzSeEEEIIIYQQQgghVQaKtqRG2CMIxxxE2+Op9um4OrVAtB34ODD4GffzpFzmE0IIIYQQQgghhJBqAUVbUiPsEYonI7NaI9SaJGSehFsKtoQQQgghhBBCCCHVDv/K3gBCykKzuqFu7REc/W0bR9mF3RqPNaJWPGzFEoERtoQQQgghhBBCCCHVDoq2pFrTICIIAX46FBSZi9kj5NYuewRHRKilWEsIIYQQQgghhBBSbaE9AqnW+Ol1tkjaoyk5MJvNLvYItSIRGSGEEEIIIYQQQgipMVC0JTUmGVmOsQjJWUYnewSDnx71wgIrdfsIIYQQQgghhBBCCCkNFG1JjRFtHaNtrZG2jeoEQa/XVeLWEUIIIYQQQgghhBBSOijakhom2mYjPbcAWfmF6n0crREIIYQQQgghhBBCSDWDoi2p9jSt6yDansmt3UnICCGEEEIIIYQQQki1h6ItqXH2CM5JyOzzCCGEEEIIIYQQQgipDlC0JTXOHsGahExgpC0hhBBCCCGEEEIIqW5QtCXVntBAf8SEGWyRtk72CPS0JYQQQgghhBBCCCHVDIq2pEbQxBJtm5iRj4PJWbZyRtoSQgghhBBCCCGEkOoGRVtSI2jmYJGw/lCK+u+n16FhZFAlbhUhhBBCCCGktjJ16lQ0b94cQUFB6NOnD9atW+d1+V9//RXt27dXy3fu3Bn//POP03yz2YxJkyahYcOGCA4OxrBhw7Bv3z6nZVJSUnDdddchIiICderUwW233YasLHtQCyGEkOoDRVtS43xts41F6n+DiCD4+7GKE0IIIYQQQs4tP//8Mx5++GE8//zz2LRpE7p27YqRI0ciKSnJ7fKrVq3ChAkTlMi6efNmjBs3Tr127NhhW+bNN9/EBx98gGnTpmHt2rUIDQ1V68zLy7MtI4Ltzp07MX/+fMyZMwfLli3DnXfeeU72mRBCSPlCRYvUKHsER2iNQAghhBBCCKkM3nnnHdxxxx245ZZb0LFjRyW0hoSE4KuvvnK7/Pvvv49Ro0bhscceQ4cOHfDSSy+he/fu+Oijj2xRtu+99x6effZZXHbZZejSpQu+/fZbnDhxAjNnzlTL7N69G/PmzcMXX3yhInv79++PDz/8ED/99JNajhBCSPXCv7I3gJDyoFndUJcyJiEjhBBCCCGEnGuMRiM2btyIp556ylam1+uVncHq1avdfkbKJTLXEYmitQqyhw4dwqlTp9Q6rERGRipxVj57zTXXqP9iidCzZ0/bMrK8fLdE5l5++eUu35ufn69eVjIyMtT/oqIi9RJ0Op1ah8lkUuKxFU/leuiggxkmnR/M0NnLzUWqvEjnLENIOdTyxcsL5VvUehzxMxeq9TqWy3plPZ7KTdDDrLPHrOnMZugh5X4w6+zbqDPLkiaP216l9snH8+HxPOn1ap67csHk57yNOpNJeg9gLl4u9USng9nyOdt6iorUsXUs11mW91iu1xc7H2b1vR7L/eR8OG+jzPNUXtX2yXqNne15knLHdVjLpe752b9SUWTWtknvUq5dr6Up10utdCiXrTJJuc7x6lCHFibo4KdzPBuyrHymtOWocvvkeOxLe54cl/EGRVtS4+wRrDSOCq6UbSGEEEIIIYTUXpKTk1UDvX79+k7l8n7Pnj1uPyOCrLvlpdw631rmbZnY2Fin+f7+/oiOjrYtU5zXXnsNL7zwgkv5gQMHEBYWZhOHxUc3MTER6enptmViYmLUKyEhAdnZ2bbyBg8eVuLx4YMHlYBtpXHjxmqdB/buVcKGlRYtWqjtLO7P26ZNGxQWFirB2lEAadu2LbKzsnD8+HFbucFgQMuWLZGelua0r2Ih0aRJE6QkJ6vzYsW2TydPut+nY8ec96lBg+qzT76eJ+s+HT7ssk8d9uzG3nLYpywP+5TmYZ+SPezTSQ/n6ZiH83TQw3mqavvk+L1nc55U3TtwwGWfDrxyMc9TVsXXPcfzV9rzVLduXdR40VZM1u+//37Mnj1bXUBXXnmlGlZi/XFxt7x4Cv333384evQo6tWrp3yCZOiJnBBSfYkND4TBXw9jof0ioD0CIYQQQgghhHhGooEdI3wl0lYEjFatWqlkZoJEiVkFYkdR2FoeFxfnNlJTkrC5K5d1O2ItF6GseLkILcXLrUKLY7l1W6RdHx4e7lIuwnVUVJRLOfeJ54l1j9dTZdwjfE0QWa1FWzFZF9VbTNYLCgqUX5CYrM+YMcPt8uLjI6+3335b+QodOXIE//vf/1TZb7/9ds63n5Qfer1ORdvuT7JXfNojEEIIIYQQQs41EoXl5+enIh4dkfcSjeUOKfe2vPW/lEn0l+My3bp1sy1TPNGZRAtK8JKn7w0MDFSv4sj2y8sRq/hQnNKWF1/v2ZSLcFKa8vLadu4TzxPrHq+n8rhHWMXfGpuI7GxM1jt16oTff/8dY8eOVSr3kCFD8Morr6hIXfkxIzXLIqFxlKtlAiGEEEIIIYRUJBId2qNHDyxcuNBWJsNi5X3fvn3dfkbKHZcXJDjJurwMeRbh1XEZiYoVr1rrMvJfhv6Kn66VRYsWqe+WNjMhhJDqRbUVbUsyWfcV8aaQYR/iY0KqLwlpuQg1OPdcpGTnq3JCCCGEEEIIOZeI5cDnn3+O6dOnq4Cju+++W/lUyuhQ4cYbb3RKVDZx4kQVlDRlyhTlezt58mRs2LAB9913ny0q68EHH8TLL7+MWbNmYfv27WodjRo1UpZ/QocOHTBq1CjccccdWLduHVauXKk+L0nKZDlCCCHVi2qrVJ6NyXpxxGRY/GzFUsETnrJpSm+lo4nwucKaia4yvruqIsLssHeWId/Bz1a48pPVCPTXY8HDF9HfthxhHSSVDesgqWxYBwnrH6nNVPY9sLq0g8aPH4/Tp09j0qRJqn0qFgYiyloTiUmOFcdhtP369VM2f88++yyefvpp5dc6c+ZMNVrUyuOPP66EX2m/SkStjDaVdQYFBdmW+eGHH5RQO3ToUFvelw8++OAc7z0hhJAaKdo++eSTeOONN7wuIz2VZUXE19GjRytvW+nF9ISnbJryA5yXl4fKeEiR6GB5UPLklVHbOJCU4yLYWpHyA8cTEWCkVUJ5wTpIKhvWQVLZsA4S1j9Sm6nse2BmZiaqCyKeWiNli7NkyRKXsquuukq9PCHRti+++KJ6eUKCmDzleCGEEFK9qHKi7SOPPIKbb77Z6zItW7Y8K5N1xx96GTYiWSX//PNPBAQElDqbZr169WzZNM/1Q5L8WMv3U7TVSCpI93rMoqOiEBsbeU7OT22AdZBUNqyDpLJhHSSsf6Q2U9n3QMeoUkIIIaQmU+VEW/nxl1dJOJqsi8m7rybrIrqOHDlSZcgUL6CSfvQ9ZdOUB5TKEk3lIakyv7+qUdJx4LEqf1gHSWXDOkgqG9ZBwvpHajOVeQ9kG4gQQkhtodqqfr6YrCckJKB9+/ZqvlWwHTFihPIB+vLLL9V78ReSV1FRUSXvESGEEEIIIYQQQgghhFTBSNvSUJLJekFBAeLj45GTk6Peb9q0CWvXrlXTrVu3dlrXoUOH0Lx583O8B4QQQgghhBBCCCGEEFKDRNuSTNZFhBWDfCuDBg1yek9qBlGhBgT6690mI5NymU8IIYQQQgghhBBCSHWhWou2hAhxdYKx6NFBSM02uhwQEWxlPiGEEEIIIYQQQggh1QWKtqRGIMIsxVlCCCGEEEIIIYQQUhOotonICCGEEEIIIYQQQgghpCZC0ZYQQgghhBBCCCGEEEKqEBRtCSGEEEIIIYQQQgghpApB0ZYQQgghhBBCCCGEEEKqEBRtCSGEEEIIIYQQQgghpApB0ZYQQgghhBBCCCGEEEKqEBRtCSGEEEIIIYQQQgghpApB0ZYQQgghhBBCCCGEEEKqEBRtCSGEEEIIIYQQQgghpApB0ZYQQgghhBBCCCGEEEKqEBRtCSGEEEIIIYQQQgghpArhX9kbUN0wm83qf0ZGRqV8v8lkQmZmJoKCgqDXU3MnrIOk9sH7IKlsWAcJ6x+pzVT2PdDaDrO2y0jNau8SQkhtIMPH3zKKtqVEHlCEJk2anO25IYQQQgghhBBSxnZZZGQkj2E5w/YuIYRUnd8ynZldlKXuWT5x4gTCw8Oh0+lQGWq8CMbHjh1DRETEOf9+QlgHSWXDOkgqG9ZBwvpHajOVfQ+U5qs0chs1asSRhzWwvVsb6zQpOzyH1ZvaeP7MPv6WMdK2lMjBbNy4MSobqci1pTKTqgnrIKlsWAdJZcM6SFj/SG2mMu+BjLCt+e3dyoC/69UfnsPqTW07f5E+jBahKSohhBBCCCGEEEIIIYRUISjaEkIIIYQQQgghhBBCSBWCom01IzAwEM8//7z6TwjrIKmN8D5IKhvWQcL6R2ozvAeSmgbrdPWH57B6w/PnGSYiI4QQQgghhBBCCCGEkCoEI20JIYQQQgghhBBCCCGkCkHRlhBCCCGEEEIIIYQQQqoQFG0JIYQQQgghhBBSLRk0aBAefPDBCln34cOHodPpsGXLlgpZPzl355JU/PFu3rw53nvvvbP+/DfffIM6deqgMpg8eTK6deuGqgZF22rE1KlT1UUQFBSEPn36YN26dZW9SaSG8tprr6FXr14IDw9HbGwsxo0bh/j4eKdl8vLycO+996Ju3boICwvDlVdeicTExErbZlKzef3119UDs+NDBesgqWgSEhJw/fXXq/tccHAwOnfujA0bNtjmm81mTJo0CQ0bNlTzhw0bhn379vHEkHKhqKgIzz33HFq0aKHqV6tWrfDSSy+pesc6SCqCZcuWYezYsWjUqJH6zZ05c6bTfF/ueSkpKbjuuusQERGhGt633XYbsrKyeMJItaVJkyY4efIkOnXqVNmbQgiphVC0rSb8/PPPePjhh/H8889j06ZN6Nq1K0aOHImkpKTK3jRSA1m6dKkSZNesWYP58+ejoKAAI0aMQHZ2tm2Zhx56CLNnz8avv/6qlj9x4gSuuOKKSt1uUjNZv349Pv30U3Tp0sWpnHWQVCSpqam48MILERAQgLlz52LXrl2YMmUKoqKibMu8+eab+OCDDzBt2jSsXbsWoaGh6rdZOhQIKStvvPEGPvnkE3z00UfYvXu3ei917sMPP2QdJBWCPOdJG0MCRdzhyz1PBNudO3eq58c5c+YoIfjOO+/kGSPVFj8/PzRo0AD+/v6VvSmEkNqImVQLevfubb733ntt74uKisyNGjUyv/baa5W6XaR2kJSUJGE95qVLl6r3aWlp5oCAAPOvv/5qW2b37t1qmdWrV1filpKaRmZmprlNmzbm+fPnmwcOHGieOHGiKmcdJBXNE088Ye7fv7/H+SaTydygQQPzW2+9ZSuTehkYGGj+8ccfeYJImRk9erT51ltvdSq74oorzNdddx3rIKlw5Jnuzz//LNU9b9euXepz69evty0zd+5cs06nMyckJPCskQpDnhGlrSyviIgIc926dc3PPvusqrfCt99+a+7Ro4c5LCzMXL9+ffOECRPMiYmJts+npKSYr732WnNMTIw5KCjI3Lp1a/NXX32l5h06dEjV682bN9uW37Fjh7pHh4eHq3XK88L+/ft5hktJVlaW+YYbbjCHhoaq+8vbb7/t9Lyfl5dnfuSRR5TuERISojSRxYsXO61jxYoV6jPBwcHmOnXqmEeMGKHOp/X+c+GFF5ojIyPN0dHR6pw5nqfBgwc7aSzWdq+0cxcsWFArzqfj8ZbjJudDjqMcz1GjRpn37t3rtPxvv/1m7tixo9lgMJibNWumzpkjUvbuu+/a3n/++efq+FuP55QpU8ydOnVS57Nx48bmu+++W7X3rHz99ddq+Xnz5pnbt2+v6sbIkSPNJ06ccPoeWa/Ml9+gdu3amadOneo0//HHH1dtSNmPFi1aqPuB0Wh0Wka0tNjYWHUNy/OWPPt37drVXNVgpG01wGg0YuPGjWoIkhW9Xq/er169ulK3jdQO0tPT1f/o6Gj1X+qjRN861sn27dujadOmrJOkXJGI79GjRzvVNdZBci6YNWsWevbsiauuukrZxJx//vn4/PPPbfMPHTqEU6dOOdXNyMhIZV/E32ZSHvTr1w8LFy7E3r171futW7dixYoVuPjii1kHyTnHl3ue/BdLBLl3WpHlpd0ikbmEVCTTp09X0bBiIfj+++/jnXfewRdffKHmSbtF7GXkPiq2H+JTe/PNN9s+K1Y0MqJGRtbIyAYZ5RATE+PROumiiy5CYGAgFi1apNpFt956KwoLC3mCS8ljjz2mRmz+9ddf+O+//7BkyRI1qtjKfffdp+4rP/30E7Zt26aeyUaNGmWzZRGf4aFDh6Jjx45qOfmNFIsXsReyjh6Q0cpibSW/p3Ivuvzyy2EymdT822+/HTNmzEB+fr7tO7///nvExcVhyJAhte58yjUhx0qegeV4Sv/dJZdcoq4fQer61VdfjWuuuQbbt29XHrBy7YgPrafRGU8++aQ6t3KeBDkHMmJDRmTINSvX0OOPP+70uZycHLz99tv47rvv1GiNo0eP4tFHH7XN/+GHH5RVzyuvvKKu11dffVVth6zPitg8ynbJdS33A3mGf/fdd23zf/nlF7X98lnZZ7H9+fjjj1ElqWzVmJSM9EzLqVq1apVT+WOPPaZ6mwipSCSqW3olpZfSyg8//KB614rTq1cv1atFSHkgkTvSE5ubm+vSE8w6SCoa6bmX11NPPWXetGmT+dNPP1XRN998842av3LlSvXbXLzn/6qrrjJfffXVPEGkXH5/JepDohT9/f3V/1dffdU2n3WQnMtIW1/q2yuvvGJu27aty7rq1atn/vjjj3nCSIUhz4gdOnSwRdYKcv+UMndINLjUZ2uE39ixY8233HKL22WLR9rKc4FE7hWP2iOlQ469tCd/+eUXW9mZM2dUZKQ87x85csTs5+fnEqU/dOhQdQ4EiZh2bKOWxOnTp9W53L59u3ovbYyoqCjzzz//bFumS5cu5smTJ9ea02ltX0lErRwbuddbSU5OVufDeo4kGn348OEumpRE3haPtBVNoGHDhioq3Rsyclci4x0jbWU7HCOip06dqiLkrbRq1co8Y8YMp/W89NJL5r59+3r8HhklItH2VmTZe+65x2mZPn36MNKWEFI9Ix137NihejgJOVccO3YMEydOVD2pknyRkHONRGF0795d9cBLlK14Mt5xxx3Ky5GQc4FEgcg9UKKAJPJIIkgk8sQxkoQQQojGBRdcoBLoWenbt6+KyJSoS4kQlAhMGRUoEXgDBw5Uy0gEn3D33Xerto5kjpeov1WrVnk8rBLdOWDAAOV5T86eAwcOqBHFEq1vRUZ1tmvXTk1LJKecu7Zt26qk19aXRObKZ63nwhrB6Q45/xMmTEDLli1VckRJ6u543qWNccMNN+Crr75S7+W3Vtq9jlHYtQWJWJVIdcfzIYl45XzIPOsyku/BEXlvvc6sSA4IiWyVyOfzzjvPafkFCxaocybRzHItyvE/c+aMiq61EhISopKvWmnYsKEtl5NET8v5lySXjvXi5ZdfttULa04o2Tbxo5b5zz77rO28W/fFcV+t94yqCO0RqgEyNEMM0BMTE53K5b1UQkIqChmSIkkkFi9ejMaNG9vKpd7Jj2xaWhrrJKkQ5OFafpxFNJMHCHnJQ5oMp5Hp+vXrsw6SCkUeEGW4nSMdOnSwPfBZf3/520wqctioDCuUYYidO3dWDRtJwPjaa6+xDpJzji/3PPlfPEmyDBlPSUlhm4VUGpIoTxLmiWgnHWGS4PbPP/9U86Q9I4jtzJEjR9Q9VpIri6jkOBzbkeDg4HO6/bWVrKwspYFIm0DEWetLxDYZ7u7LuRChXu4/IiCKRYvVpsV63q0WCZI48fjx4/j666+VLUKzZs0qeO9qNtKpISKudD47IrYkY8aMUcmlf//9d3VurYkvHc9J8Q4RnU6nrBqs9UKQc+pYL0RslyTqglg7SFJMsXYQLWPz5s145plnnL6jOkHRthpgMBjQo0cP5cPiGAEk76tqbwCp3shNUQRbeaARn5kWLVo4zZf6KDdTxzoZHx+vxAzWSVIeyMOy9LA7/hiLR578AFunWQdJRSK983Jfc0S8Ra0P8nJfFIHC8T6YkZGhGgS8D5LyQKJOxPvNEWnAWr34WAfJucSX+ib/pUNfGuJW5DlS6mzxiCZCypvivski4LRp0wZ79uxRkXyvv/66EpMkD0fxzgWhXr16uOmmm5Sn6XvvvYfPPvvM7feI4LR8+XKbzyc5OySSUp7lHc9bamqqzcddRjmJ8CfnqnXr1k4va0eRnAvHe5Ijcs7lOU4iLKVdIR3vsv7iSKeotCtEBJSRLeJPXBuR4yOdbI7nw3oMrUEMsszKlSudPifvJRpank+s9O7dW/lDy2g1GSFkRX4b5PdAInElMl4+J50kpaF+/fpo1KgRDh486FIvrJqFRMrL87oItXJu5T4gnTLF99fdPaNK4tVgglQZfvrpJ+WtJ156kpn1zjvvVFn9Tp06VdmbRmogksVRsjYuWbLEfPLkSdsrJyfHtsz//vc/c9OmTc2LFi0yb9iwQfnCePORIaSsOHrasg6SimbdunXKR1Q8Gvft26d8lCXT7ffff29b5vXXX1e/xX/99Zd527Zt5ssuu0z53Fl9mAkpCzfddJM5Li7OPGfOHOWp+Mcff6jM5o7e8ayDpLw9JsW3U17STHznnXfUtHhL+lrfJNv4+eefb167dq3K6i7Zu8V3kpCKfkaUDPAPPfSQec+ePcrvUrLOT5s2zZyUlKS8U8V788CBA6r+iveyo0/tc889Z545c6b6vRcPzjFjxthyxxT3tBWfT/HgvOKKK5Q3rniBfvvtt+p7SemQ9qR4oC5cuFD5zF566aXqPFqf96+77jpz8+bNzb///rv54MGD6r4i3u7yuyjEx8ercytt161bt5p3796t/LPFu1Z84eU8XX/99eq8yndI/pXift3CZ599ptYj/ra17RnOsX0l93Txp12+fLl5y5Yt6n7eunVrm3/zxo0bzXq93vziiy+qYy/alHjeig9tcU9bQdYj59P6XtYpx/+9995T16JcN/KcI2WpqalqGVmX6BCO/Pnnn2oZK59//rn63vfff19th/weffXVV+YpU6ao+XKNyzO85EcRb1xZLjo62mm9oq9Jrgr5nKxj0qRJ5vDw8CrpaUvRthrx4YcfKpFMbijyI7JmzZrK3iRSQ5GboruX4w1ZftDEvFt+3ETIuPzyy5WwS8i5Em1ZB0lFM3v2bJUMTzpN27dvrx7qHZGEJ9LQk+QIsowkx5AHP0LKg4yMDHXPk2c/aVi0bNnS/Mwzz5jz8/NZB0mFsHjxYrfPf9KB4Os9TxIJiUgrDfWIiAiV3Mma7ImQinxGlHaJiIBS76R98vTTT9sSk4mIK+Kf1FsJMpk1a5aTECtJjCRpmQhBIu6IeCUioTvRVhCBcMSIEaoNJELPgAEDlAhFSofcG0RUleMo95U333zT6XlfxEIR0+TcBQQEqMRW0uYUkc6KBBn169dPnVvpVBo5cqRNAJw/f746rzJPEozJsu5EW9kO2YbiialqA47HOyUlxXzDDTcocVOuBTmW0inhyG+//aaEXTkf8nwiCb4ccRRthaVLl6oOlA8++EC9l85AOY/W9YtwW1rRVpBgim7dutnE9osuukh1bluRThoR7eW3aPz48Wqbiq9XAjOkM1yWkd856RSviqKtTv5UdrQvIYQQQgghhBBCCCHnEvFaFbsG8TuWfBqEVCUo2hJCCCGEEEIIIYSQWoP4EotvqySdO3TokItfKyFVASYiI4QQQgghhBBCCCG1BhFpGzZsqCJsp02bVtmbQ4hbGGlLCCGEEEIIIYQQQgghVQhG2hJCCCGEEEIIIYQQQkgVgqItIYQQQgghhBBCCCGEVCEo2hJCCCGEEEIIIYQQQkgVgqItIYQQQgghhBBCCCGEVCEo2hJCCCGEEEIIIYQQQkgVgqItIYQQQgghhBBCCCGEVCEo2hJCCCGEEEIIIYQQQkgVgqItIYSQc8bkyZOh0+nUS6/XIzIyEp07d8Z9992H3bt3Oy178803o1OnTj6ve+bMmfj4449RXSnt/tbkY1EVjnPx5cr7mP70008IDAxEdnZ2ua2TEEIIIYQQUnOgaEsIIeScEhwcjNWrV2PVqlX47bffcMstt2DBggXo1q0bvv/+e9tyzz33HGbMmOHzeilU8liUJ8XrX3nXr/79+2Pt2rUIDQ0tt3USQgghhBBCag7+lb0BhBBCahcSYXvBBRfY3g8fPhz33HMPRo8ejdtuuw39+vVDy5Yt0apVq0rdTlK7qej617hxY/UihBBCCCGEEHcw0pYQQkilExQUhA8//BBGoxFffPGF2+HpO3fuxCWXXIK6desiJCQE7dq1w5tvvmlbdvr06WoZq/2ClAkS1XvppZeiUaNGKqpRInq/++47l22wft+SJUtw/vnnq2V79+6NjRs3Oi0n6xsxYgQiIiIQHh6OPn36YP78+S7LDBkyRK1DLCCuvfZaJCUl+XQs5s6dq7ZDjkmPHj2wZs0al2W8rd/TsVi+fLmaPnDggG09Y8eOVWWyrJUJEyYoAb20+1PSMr4eX098/vnnaN68uTr3Q4cOxYYNG9S2f/PNN7ZlBg0ahDFjxjh9bsuWLWo5+d7SHGfH+uetfnmrl96oV68e3nvvPZ/2nRBCCCGEEFL7YKQtIYSQKkHHjh0RFxenxD93iMBYv359fPnll0oU3L9/P44fP24byn769Gns2bMHP/zwg00UE44cOYILL7wQ//vf/5RAt3LlShXRazKZcNNNNzl9x6lTp/DAAw/gySefVN/x1FNP4fLLL1dCZ0BAgPqsCJMSKSzicp06dZR4ePToUds6ZPtFPBQh7+eff1aepc8++ywuu+wyj/tm5eTJkyrqWLx/o6Ki8Prrr2PkyJHYt28fYmNjfVq/p2MhUZ2y/8uWLVNRpLL/K1assJWdd955almZlmNQmv3xdZ9LOr6emDNnDu68804llF5zzTVK6L3qqqu8HsuyHmdHvNUvb/XSEydOnEBycjK6dOly1vtACCGEEEIIqeGYCSGEkHPE888/bw4NDfU4/4ILLjC3b99eTd90003m8847T02fPn3aLD9Zs2bN8vhZx+U9YTKZzAUFBeY777zT3LdvX5fP63Q6844dO2xlixcvVt+7fPly9b5fv37mjh07mgsLCz1+x0UXXaSWk++ysnPnTrXuv//+2+v2y3ctXLjQVpaWlmYODw83P/nkk6Vav6djIZ+9+eab1fTmzZvNAQEB5rvuuss8fvx4VbZv3z61DatWrSrV9/m6TSUdX0/06dPHPGDAAKey5557Tn3266+/tpUNHDjQPHr0aKflZD9lOfmu0hzn4sfQ3TH1pV66459//lGfk88TQgghhBBCiDtoj0AIIaTKYDab1dDz4sjQ82bNmqnITBmmXlIkoyOpqakqulM+L9Gc8vrss8+wd+9el2XFQsEacWqN/hXk+3JyctQQeonO9fPzc/tdsoxE40oUaFFREQoLC9Wrbdu2aNKkCdavX+91WyVSUyJ5Hd8PGzZMJawqj/VfdNFFKpJWkP89e/bExRdf7FQmQ/yl3NfvK802eTu+npB1SmStROQ68n//9384W0o6zr5ytvVy27ZtaNiwIWJiYkq97YQQQgghhJDaAUVbQgghVQYRvRo0aOBSLkLuf//9hw4dOuDee+9VYqAIi1ax0RsypP7HH3/Eo48+qtYhIuKtt96KvLw8l2XF7sARg8Gg/suyIv6KpYAIj56QZURkfOihh2wCsfUlFgrHjh3zuq3WIfeOyNB7Gc5fHusfOHAgDh48iISEBHXsRMQdMGCAsi0QawApE+sHq1WBL99Xmm3ydnw9IbYEIgIXty2Q43K2lHScfeVs6+XWrVvRtWvXUm83IYQQQgghpPZAT1tCCCFVAknoJGKiNcFTcSRy89dff0VBQQFWrVqFp59+WvmJymfCwsLcfkbEQPFDfeedd3D//ffbykV8LS0iOOr1euVH6m0ZEfJk28aNG+cyv6TIShEoi5OYmKiiMstj/X379lViqoiKkphMxOvo6GgV/bp06VJVfuONN5Zqf8q6Tb4IrP7+/i6Jz+S4FEf8eSWZnSMiKpf2OJeGs6mXItoWT5hGCCGEEEIIIY4w0pYQQkilI+KqiKqBgYG4/fbbvS4roqNEjEoyq4yMDJuIKlGbxSM28/PzlUBrjegUMjMzMWvWrFJvY2hoqBI9v/32WxVZ6m2Z3bt3q4jL4q/mzZt7/Y709HQsWrTI6f2CBQvQp0+fUq3f3bGwfr579+749NNPcebMGfTv31+Vy/GUBFuHDh1S0bel2Z+y7nNJiBWFbPOff/7pVP7bb7+5LCvJ1uLj45XNhhWJhC3tcXaHp2NaUr0sjtRJseZgEjJCCCGEEEKINxhpSwgh5JwiIqp4wwpZWVnYvn278piVYfvffPONW5FPPEAfeeQRjB8/Hq1atVIi22uvvaaWlfeCDFH/6quvlBVCmzZtVISnzO/Vqxdef/11W8SmTIuHafHITV+Qz4oXqvif3nPPPYiKisKmTZvUd0nUqvDWW2+pZWRbr7nmGrWM2D7Mnz8ft9xyCwYNGuRx/RL1etttt+GFF15QEazyfSJAPvjgg7ZlfFm/p2MhiCgr6xAhNCIiwlY2depUJTyKAOuIL99Xln32hWeeeQaXXXaZWpesXzxuv/vuO5flxOf2yy+/VB0AEvUrka/uxF1fjnNx3B1TEWdLqpfuIsrF7oGiLSGEEEIIIcQbjLQlhBByTsnNzVXCoLwkuZQIYUOHDlVDxidMmOD2M+JzKy8RxCRx1l133aX8QyWK0poUTEQ4SYYlgp0ItZMnT1blM2bMQOvWrVUCMUlIJsKeowVAaZDI1CVLlig7ALFxuOKKK1QEqCSjstKvXz+sWLFCCdIiMl5yySV48cUXVYIv2Q5vyPD8jz76SImIsi8S2fnvv/86+bf6sn5Px0KQaFDBMaLWOi2RscHBwU7b5Mv3lWWffeHSSy/FtGnTsHDhQiXGynn/+eefXZYbNWoU3nzzTRVJLcvt2LFDfe5sjnNx3B1TX+plcaSeS9Ru+/bty3hUCCGEEEIIITUZndlxDCEhhBBCSDUgLS1NRfR+/fXXHn2QCSGEEEIIIaS6wkhbQgghhBBCCCGEEEIIqUJQtCWEEEIIIYQQQgghhJAqBO0RCCGEEEIIIYQQQgghpArBSFtCCCGEEEIIIYQQQgipQlC0JYQQQgghhBBCCCGEkCoERVtCCCGEEEIIIYQQQgipQlC0JYQQQgghhBBCCCGEkCoERVtCCCGEEEIIIYQQQgipQlC0JYQQQgghhBBCCCGEkCoERVtCCCGEEEIIIYQQQgipQlC0JYQQQgghhBBCCCGEkCoERVtCCCGEEEIIIYQQQgipQlC0JYQQQgghhBBCCCGEkCoERVtCCCGEEEIIIYQQQghB1eH/AZjra7xW9+AiAAAAAElFTkSuQmCC", "text/plain": [ - "
" + "\"Output" ] }, "metadata": {}, @@ -1109,7 +1102,7 @@ "**Key takeaways:**\n", "- The `decay` and `lookahead` heuristics are substantially better than `basic` for non-trivial circuits. It is generally helpful to prefer one of the two for production workloads.\n", "- The best heuristic depends on your circuit and hardware. Testing multiple heuristics with multiple seeds is the most reliable strategy.\n", - "- If you want to explore even more layouts, increase `swap_trials` (and `layout_trials` when you are not pinning a custom routing pass) rather than fanning the work out to remote nodes — the SABRE passes already parallelize trials across local threads, and the per-trial work is small enough that distribution overhead typically dominates any speedup." + "- If you want to explore even more layouts, increase `swap_trials` (and `layout_trials` when you are not pinning a custom routing pass) rather than fanning the work out to remote nodes — the SABRE passes already parallelize trials across local threads, and the per-trial work is small enough that distribution overhead typically dominates any speedup." ] }, { diff --git a/public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/0280b0b9-6320-43e5-8396-f82f9e718319-0.avif 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}bGW=ec!=&memkR|JLycbe7*lKEw*l;f(= z(ylWC1(VR{xalCdIpu6SFjUNP5evn&LM4*ePxnowXlsh>1AMTt#;|FuZ0PW}A-hst z5P|CnQGe1fKXFAbdxc21kt9iciG$ELRo=NrzOi*7m?4cMKSmzS1&QPZpZ7G6-hHO? zFLTWg0`&uiU|^4{yx%S3f93w?j9*ywfPdq??2c&HCtFD%Kv>(=$wOu(Ms|{3UD!>m z^DLQQSSVr=B9(}B7&v%K?>h&(3zkxKZpblPxqshFW_bxXTz_ARLpN~^!~jyEf^cL< zv&}kj&B5C#RRvEwP}jz&`G}!N)~`S>xADl1KMjhU$cfzrW0K>WscJq+3w2Ez}Y z^QTI)EGT)XTPEU_?!1LIwNj$Lj&XPrb`c;2Sm#2<1>rzMh?|8m8ctu^%bhkW$)o`XX-OT9omr2zEIBraUWGH3V<`_GvzXpvG|CRObF;#DR^u@u^)l|Tfsa$3M)MSiyF saQ*e@(it}E*{z5+C5i$V-Cr!R4dhooPa$)nHn>N(lB#H6(33bjO0VJdd;kCd From 0b84b2054be5aedd3c442d959399bd3f4eecdeb3 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 16:10:20 -0400 Subject: [PATCH 18/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: abbycross --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 0dcf7d3e371..d5508921bae 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -51,7 +51,7 @@ "## Requirements\n", "\n", "Before starting this tutorial, be sure you have the following installed:\n", - "- Qiskit SDK v2.0 or later, with [visualization](https://quantum.cloud.ibm.com/docs/en/api/qiskit/visualization) support\n", + "- Qiskit SDK v2.0 or later, with [visualization](/docs/api/qiskit/visualization) support\n", "- Qiskit Runtime v0.22 or later (`pip install qiskit-ibm-runtime`)\n", "- Qiskit Aer (`pip install qiskit-aer`)" ] From db92a589e050b19cebccf06b1a53a64dfd04452c Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 16:10:32 -0400 Subject: [PATCH 19/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: abbycross --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index d5508921bae..6bc81fa5e9e 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -13,8 +13,8 @@ "\n", "{/* cspell:ignore ylabel xlabel fontsize sharex edgecolor, fontweight, elinewidth, ecolor */}\n", "\n", - "# Transpilation Optimization with SABRE\n", - "*Usage estimate: 1 minute on a Heron r2 processor. (NOTE: This is an estimate only. Your runtime may vary.)*" + "# Transpilation optimization with SABRE\n", + "*Usage estimate: 1 minute on a Heron r2 processor (NOTE: This is an estimate only. Your runtime might vary.)*" ] }, { From 69eb0330244c7eec98660e69ffe7793d4112a279 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 16:10:59 -0400 Subject: [PATCH 20/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: abbycross --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 6bc81fa5e9e..364e145718f 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -187,7 +187,7 @@ "\n", "**Key parameters:**\n", "- **`layout_trials` / `swap_trials`**: Control how many candidate layouts and routing solutions SABRE explores. More trials means SABRE samples a wider search space, increasing the chance of finding a better solution.\n", - "- **`max_iterations`**: Controls how many forward-backward routing refinement cycles SABRE performs on each candidate. More iterations let SABRE iteratively improve the layout by learning from routing feedback.\n", + "- **`max_iterations`**: Controls how many forward-backward routing refinement cycles SABRE performs on each candidate. SABRE iteratively improves the layout by learning from routing feedback, so the more iterations, the better the improvements.\n", "\n", "Both come at the cost of longer transpilation time, but the resulting circuits are shorter and use fewer gates, which directly reduces decoherence and gate errors on real hardware.\n", "\n", From 4795b252c343a58af18077c1b2f9f1939450d1c2 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 16:11:14 -0400 Subject: [PATCH 21/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: abbycross --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 364e145718f..da3e4cb9aff 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -186,7 +186,7 @@ "| `pm_3` | 8 | 200 | 200 |\n", "\n", "**Key parameters:**\n", - "- **`layout_trials` / `swap_trials`**: Control how many candidate layouts and routing solutions SABRE explores. More trials means SABRE samples a wider search space, increasing the chance of finding a better solution.\n", + "- **`layout_trials` / `swap_trials`**: Control how many candidate layouts and routing solutions SABRE explores. Increasing the number of trials means SABRE samples a wider search space, increasing the chance of finding a better solution.\n", "- **`max_iterations`**: Controls how many forward-backward routing refinement cycles SABRE performs on each candidate. SABRE iteratively improves the layout by learning from routing feedback, so the more iterations, the better the improvements.\n", "\n", "Both come at the cost of longer transpilation time, but the resulting circuits are shorter and use fewer gates, which directly reduces decoherence and gate errors on real hardware.\n", From f7b0e4f346cf025db928479a8d3dc989e08ef728 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 16:11:55 -0400 Subject: [PATCH 22/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: abbycross --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index da3e4cb9aff..b00a1210b27 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -582,7 +582,7 @@ "source": [ "### Step 4: Post-process and return result in desired classical format\n", "\n", - "Next plot the entanglement correlations $\\langle Z_0 Z_i \\rangle$ as a function of qubit distance, along with the **mean correlation** as a single fidelity metric. In an ideal (noiseless) case, all correlations would be 1. With realistic noise, each additional gate introduces error and each additional time step allows decoherence, so a transpiled circuit with lower depth and fewer gates (especially two-qubit gates) should preserve entanglement better." + "Next, plot the entanglement correlations $\\langle Z_0 Z_i \\rangle$ as a function of qubit distance, along with the **mean correlation** as a single fidelity metric. In an ideal (noiseless) case, all correlations would be 1. With realistic noise, each additional gate introduces error and each additional time step allows decoherence, so a transpiled circuit with lower depth and fewer gates (especially two-qubit gates) should preserve entanglement better." ] }, { From 22e69b2de66098ac9d0ed0893ae684acc32d38b4 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 16:12:11 -0400 Subject: [PATCH 23/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: abbycross --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index b00a1210b27..a9e64387dc2 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -689,7 +689,7 @@ "source": [ "The results show a clear connection between transpilation quality and execution fidelity:\n", "\n", - "- **`pm_1` (default)**: Baseline. With only 20 trials and 4 iterations, SABRE has limited room to optimize, resulting in the deepest circuit.\n", + "- **`pm_1` (default)**: Baseline. With only 20 trials and four iterations, SABRE has limited room to optimize, resulting in the deepest circuit.\n", "- **`pm_2` (more trials)**: Exploring 10x more candidates finds layouts comparable to or slightly better than the default. The improvement depends on how much the search space benefits from broader sampling.\n", "- **`pm_3` (more trials + more iterations)**: Doubling `max_iterations` to 8 gives SABRE more refinement cycles, producing the shallowest and smallest circuit. This translates to higher mean fidelity because the circuit runs faster (less decoherence) and uses fewer two-qubit gates (fewer error opportunities).\n", "\n", From daf7c3d4e54153928d4444b87ccad0295e210894 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 16:12:23 -0400 Subject: [PATCH 24/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: abbycross --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index a9e64387dc2..8acafd16c3c 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -690,7 +690,7 @@ "The results show a clear connection between transpilation quality and execution fidelity:\n", "\n", "- **`pm_1` (default)**: Baseline. With only 20 trials and four iterations, SABRE has limited room to optimize, resulting in the deepest circuit.\n", - "- **`pm_2` (more trials)**: Exploring 10x more candidates finds layouts comparable to or slightly better than the default. The improvement depends on how much the search space benefits from broader sampling.\n", + "- **`pm_2` (more trials)**: Exploring ten times more candidates finds layouts comparable to or slightly better than the default. The improvement depends on how much the search space benefits from broader sampling.\n", "- **`pm_3` (more trials + more iterations)**: Doubling `max_iterations` to 8 gives SABRE more refinement cycles, producing the shallowest and smallest circuit. This translates to higher mean fidelity because the circuit runs faster (less decoherence) and uses fewer two-qubit gates (fewer error opportunities).\n", "\n", "Note that increasing `max_iterations` does not always have a positive impact. In this case it helped significantly, but for other circuits or backends the additional iterations may not yield further improvement, or may even slightly hurt performance due to over-optimization of a local minimum. In general, you should increase `layout_trials` and `swap_trials` as much as your time budget allows, since more trials always increases the chance of finding a better layout. Increasing `max_iterations` is worth testing but should be validated for your specific use case." From a50b3262a9069107164c1e91379703103d309229 Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 16:12:35 -0400 Subject: [PATCH 25/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: abbycross --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 8acafd16c3c..9a3abf5fabd 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -30,9 +30,9 @@ "\n", "## Prerequisites\n", "We suggest that you are familiar with the following topics before going through this tutorial:\n", - "- [Transpile circuits](https://quantum.cloud.ibm.com/docs/en/guides/transpile): overview of transpilation in Qiskit\n", - "- [Transpiler stages](https://quantum.cloud.ibm.com/docs/en/guides/transpiler-stages): layout and routing stages\n", - "- [Configure preset pass managers](https://quantum.cloud.ibm.com/docs/en/guides/transpile-with-pass-managers): customizing optimization levels\n", + "- [Transpile circuits](/docs/guides/transpile): overview of transpilation in Qiskit\n", + "- [Transpiler stages](/docs/guides/transpiler-stages): layout and routing stages\n", + "- [Configure preset pass managers](/docs/guides/transpile-with-pass-managers): customizing optimization levels\n", "\n", "## Background\n", "\n", From 6b0142c06dea51b2497663122946f4ccc21fd3bf Mon Sep 17 00:00:00 2001 From: Henry Zou <87874865+henryzou50@users.noreply.github.com> Date: Tue, 12 May 2026 16:12:56 -0400 Subject: [PATCH 26/30] Update docs/tutorials/transpilation-optimizations-with-sabre.ipynb Co-authored-by: abbycross --- .../transpilation-optimizations-with-sabre.ipynb | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 9a3abf5fabd..f916c146e78 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -1113,12 +1113,12 @@ "## Next steps\n", "If you found this work interesting, you might be interested in the following material:\n", "\n", - "- [SabreLayout API reference](https://quantum.cloud.ibm.com/docs/en/api/qiskit/qiskit.transpiler.passes.SabreLayout): full parameter documentation\n", - "- [SABRE paper](https://arxiv.org/abs/1809.02573): the original SABRE algorithm for layout and routing\n", - "- [LightSABRE paper](https://arxiv.org/abs/2409.08368): the algorithmic improvements that power Qiskit's current SABRE implementation\n", - "- [Write a custom transpiler pass](https://quantum.cloud.ibm.com/docs/en/guides/custom-transpiler-pass): build your own transpilation logic\n", - "- [Transpiler plugins](https://quantum.cloud.ibm.com/docs/en/guides/transpiler-plugins): extend Qiskit's transpilation pipeline with third-party passes\n", - "- [DAG representation](https://quantum.cloud.ibm.com/docs/en/guides/DAG-representation): understand the directed acyclic graph used internally by the transpiler\n", + "\n", + "If you found this work interesting, you might be interested in the following material:\n", + "- [`SabreLayout` API reference](/docs/api/qiskit/qiskit.transpiler.passes.SabreLayout): full parameter documentation\n", + "- [Write a custom transpiler pass](/docs/guides/custom-transpiler-pass): build your own transpilation logic\n", + "- [Transpiler plugins](/docs/guides/transpiler-plugins): extend Qiskit's transpilation pipeline with third-party passes\n", + "- [DAG representation](/docs/guides/DAG-representation): understand the directed acyclic graph used internally by the transpiler\n", "" ] }, From b82c49590f9d7b105624ef120fea59b5a37f954f Mon Sep 17 00:00:00 2001 From: Henry Zou Date: Tue, 12 May 2026 16:22:05 -0400 Subject: [PATCH 27/30] Fixed links and added back reference to SABRE papers --- docs/tutorials/transpilation-optimizations-with-sabre.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index f916c146e78..62af57f158a 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -135,7 +135,7 @@ "![ghz_star_topology.png](/docs/images/tutorials/transpilation-optimizations-with-sabre/ghz_star_topology.avif)\n", "\n", "\n", - "SABRE is a general-purpose algorithm and makes no assumptions about circuit structure. For this star-topology GHZ circuit, an optimal routing is actually known: the [`StarPreRouting`](https://quantum.cloud.ibm.com/docs/en/api/qiskit/qiskit.transpiler.passes.StarPreRouting) pass detects star sub-circuits and rewrites them into a linear chain that maps directly onto any backend with a long enough linear path. This tutorial focuses on SABRE because it works for arbitrary circuits, but if you know your circuit has a clear special structure, applying a specialized pass like `StarPreRouting` before routing can outperform any heuristic search.\n", + "SABRE is a general-purpose algorithm and makes no assumptions about circuit structure. For this star-topology GHZ circuit, an optimal routing is actually known: the [`StarPreRouting`](/docs/api/qiskit/qiskit.transpiler.passes.StarPreRouting) pass detects star sub-circuits and rewrites them into a linear chain that maps directly onto any backend with a long enough linear path. This tutorial focuses on SABRE because it works for arbitrary circuits, but if you know your circuit has a clear special structure, applying a specialized pass like `StarPreRouting` before routing can outperform any heuristic search.\n", "" ] }, @@ -1113,9 +1113,9 @@ "## Next steps\n", "If you found this work interesting, you might be interested in the following material:\n", "\n", - "\n", - "If you found this work interesting, you might be interested in the following material:\n", "- [`SabreLayout` API reference](/docs/api/qiskit/qiskit.transpiler.passes.SabreLayout): full parameter documentation\n", + "- [SABRE paper](https://arxiv.org/abs/1809.02573): the original SABRE algorithm for layout and routing\n", + "- [LightSABRE paper](https://arxiv.org/abs/2409.08368): the algorithmic improvements that power Qiskit's current SABRE implementation\n", "- [Write a custom transpiler pass](/docs/guides/custom-transpiler-pass): build your own transpilation logic\n", "- [Transpiler plugins](/docs/guides/transpiler-plugins): extend Qiskit's transpilation pipeline with third-party passes\n", "- [DAG representation](/docs/guides/DAG-representation): understand the directed acyclic graph used internally by the transpiler\n", From 9bc0d9a3add4e9e01d95a54f01734e40deda8429 Mon Sep 17 00:00:00 2001 From: Henry Zou Date: Tue, 12 May 2026 16:50:44 -0400 Subject: [PATCH 28/30] Add StarPreRouting comparison subsection to large-scale example Demonstrates that for circuits with a known structure, a specialized pre-routing pass can outperform any SABRE heuristic. Applies StarPreRouting to the same 100-qubit star-topology GHZ circuit used in the SABRE heuristic comparison, transpiles with the default level-3 preset, runs on hardware, and plots the result against the basic / decay / lookahead baselines. Refreshes the existing hardware-comparison output images (re-run during this update) and adds the new StarPreRouting comparison plot. --- ...anspilation-optimizations-with-sabre.ipynb | 211 +++++++++++++++--- ...280b0b9-6320-43e5-8396-f82f9e718319-0.avif | Bin 18893 -> 20477 bytes ...90d5ac3-bd32-44eb-9358-a86d11308681-0.avif | Bin 0 -> 24931 bytes ...6dac5ed-a963-458a-ada1-89c915f036e0-0.avif | Bin 17257 -> 17162 bytes ...f75c45a-2c3e-4ef6-8336-0b3f69e6e8fb-0.avif | Bin 15664 -> 15925 bytes ...ead9bd2-17e0-4f5b-80bc-eb9b30af052e-0.avif | Bin 15234 -> 15358 bytes 6 files changed, 184 insertions(+), 27 deletions(-) create mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/790d5ac3-bd32-44eb-9358-a86d11308681-0.avif diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 62af57f158a..82fe78a71a8 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -11,7 +11,7 @@ "---\n", "\n", "\n", - "{/* cspell:ignore ylabel xlabel fontsize sharex edgecolor, fontweight, elinewidth, ecolor */}\n", + "{/* cspell:ignore ylabel xlabel fontsize sharex edgecolor, fontweight, elinewidth, ecolor, prerouter */}\n", "\n", "# Transpilation optimization with SABRE\n", "*Usage estimate: 1 minute on a Heron r2 processor (NOTE: This is an estimate only. Your runtime might vary.)*" @@ -66,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "6d93c123-b92e-434d-8361-8115509e6d5f", "metadata": {}, "outputs": [ @@ -74,7 +74,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Using backend: ibm_fez\n" + "Using backend: ibm_kingston\n" ] } ], @@ -85,10 +85,12 @@ "from qiskit_ibm_runtime import EstimatorOptions\n", "from qiskit_ibm_runtime import EstimatorV2 as Estimator\n", "from qiskit_aer.primitives import EstimatorV2 as AerEstimator\n", + "from qiskit.transpiler import PassManager\n", "from qiskit.transpiler.passes import (\n", " SabreLayout,\n", " SabreSwap,\n", " BarrierBeforeFinalMeasurements,\n", + " StarPreRouting,\n", ")\n", "from qiskit.transpiler.passes.layout.vf2_layout import VF2LayoutStopReason\n", "from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager\n", @@ -106,7 +108,7 @@ "# )\n", "# backend = service.least_busy(operational=True, simulator=False)\n", "service = QiskitRuntimeService()\n", - "backend = service.backend(\"ibm_fez\")\n", + "backend = service.backend(\"ibm_kingston\")\n", "\n", "print(f\"Using backend: {backend.name}\")" ] @@ -332,13 +334,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "pm_1 (4,20,20): 2Q Depth 38, Size 187, Time 0.01s\n", - "pm_2 (4,200,200): 2Q Depth 36, Size 184, Time 0.15s\n", - "pm_3 (8,200,200): 2Q Depth 30, Size 157, Time 0.18s\n", + "pm_1 (4,20,20): 2Q Depth 38, Size 183, Time 0.01s\n", + "pm_2 (4,200,200): 2Q Depth 36, Size 183, Time 0.15s\n", + "pm_3 (8,200,200): 2Q Depth 30, Size 158, Time 0.15s\n", "\n", "Improvement vs. default (pm_1):\n", - " pm_2 (4,200,200): 2Q depth +5.3%, size +1.6%\n", - " pm_3 (8,200,200): 2Q depth +21.1%, size +16.0%\n" + " pm_2 (4,200,200): 2Q depth +5.3%, size +0.0%\n", + " pm_3 (8,200,200): 2Q depth +21.1%, size +13.7%\n" ] } ], @@ -529,9 +531,9 @@ "Run 8/10 done\n", "Run 9/10 done\n", "Run 10/10 done\n", - "pm_1 (4,20,20): mean fidelity = 0.9341 +/- 0.0082\n", - "pm_2 (4,200,200): mean fidelity = 0.9381 +/- 0.0059\n", - "pm_3 (8,200,200): mean fidelity = 0.9497 +/- 0.0071\n" + "pm_1 (4,20,20): mean fidelity = 0.9464 +/- 0.0073\n", + "pm_2 (4,200,200): mean fidelity = 0.9536 +/- 0.0055\n", + "pm_3 (8,200,200): mean fidelity = 0.9510 +/- 0.0079\n" ] } ], @@ -762,16 +764,16 @@ "text": [ "basic:\n", " 2Q depth: min: 524, mean: 570.5, std: 39.9\n", - " size : min: 3821, mean: 4223.9, std: 360.2\n", - " best seed: 51 (2Q depth=524, size=3853)\n", + " size : min: 3819, mean: 4227.1, std: 360.6\n", + " best seed: 51 (2Q depth=524, size=3852)\n", "decay:\n", " 2Q depth: min: 387, mean: 436.4, std: 41.7\n", - " size : min: 2708, mean: 3184.6, std: 456.7\n", + " size : min: 2687, mean: 3183.1, std: 459.3\n", " best seed: 45 (2Q depth=387, size=2786)\n", "lookahead:\n", " 2Q depth: min: 364, mean: 424.6, std: 36.5\n", - " size : min: 2355, mean: 3015.1, std: 384.5\n", - " best seed: 51 (2Q depth=364, size=2484)\n" + " size : min: 2335, mean: 3014.6, std: 388.1\n", + " best seed: 51 (2Q depth=364, size=2485)\n" ] } ], @@ -869,9 +871,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "basic: best 2Q depth=524, size=3853 (seed=51)\n", + "basic: best 2Q depth=524, size=3852 (seed=51)\n", "decay: best 2Q depth=387, size=2786 (seed=45)\n", - "lookahead: best 2Q depth=364, size=2484 (seed=51)\n" + "lookahead: best 2Q depth=364, size=2485 (seed=51)\n" ] } ], @@ -948,12 +950,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Best basic: 2Q depth=524, size=3853\n", + "Best basic: 2Q depth=524, size=3852\n", "Best decay: 2Q depth=387, size=2786\n", - "Best lookahead: 2Q depth=364, size=2484\n", - "basic job: d81nt200bvlc73d1c28g\n", - "decay job: d81nt2ftjchs73bn5eg0\n", - "lookahead job: d81nt2ntjchs73bn5ehg\n", + "Best lookahead: 2Q depth=364, size=2485\n", + "basic job: d81our80bvlc73d1dap0\n", + "decay job: d81ourg0bvlc73d1dapg\n", + "lookahead job: d81ouro0bvlc73d1daq0\n", "basic job done\n", "decay job done\n", "lookahead job done\n" @@ -1014,9 +1016,9 @@ "text": [ "\n", "Mean fidelity:\n", - " basic: 0.0277\n", - " decay: 0.0117\n", - " lookahead: 0.0108\n" + " basic: 0.0356\n", + " decay: 0.1758\n", + " lookahead: 0.1823\n" ] } ], @@ -1105,6 +1107,161 @@ "- If you want to explore even more layouts, increase `swap_trials` (and `layout_trials` when you are not pinning a custom routing pass) rather than fanning the work out to remote nodes — the SABRE passes already parallelize trials across local threads, and the per-trial work is small enough that distribution overhead typically dominates any speedup." ] }, + { + "cell_type": "markdown", + "id": "1ca738b9-1510-46f3-a531-5dfc1654a052", + "metadata": {}, + "source": [ + "## Beating SABRE with a specialized pre-routing pass\n", + "\n", + "The analysis above shows that even the best SABRE heuristic leaves a lot on the table on this star-topology circuit. The shallowest 2Q depth produced by any heuristic is still well above what is fundamentally required for a star sub-circuit on a backend with a long enough linear path. That is because SABRE is a *general-purpose* algorithm: it has to discover the routing through stochastic search and does not know that this circuit is a single star.\n", + "\n", + "For circuits with a known structure, a specialized pass can do much better. The [`StarPreRouting`](/docs/api/qiskit/qiskit.transpiler.passes.StarPreRouting) pass detects star sub-circuits and rewrites them into a linear chain before routing. The star-topology GHZ circuit used here is the textbook case: the circuit *is* a single star, and a Heron processor has linear paths long enough to host the resulting linear circuit. After the rewrite, the rest of the transpiler only has to lay a linear chain onto the device, which is a problem with a known optimal solution.\n", + "\n", + "The following code applies `StarPreRouting` as a pre-pass and then hands the rewritten circuit to the default `optimization_level=3` pass manager. The resulting transpilation metrics and hardware fidelity are compared against the best SABRE heuristics from the previous section." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "8057db61-01ae-480f-8df3-cb840bfbb174", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "StarPreRouting + default transpile: 2Q depth=373, size=2028\n", + "\n", + "For reference, best-of-each-heuristic from the SABRE comparison:\n", + " basic: 2Q depth=524, size=3852\n", + " decay: 2Q depth=387, size=2786\n", + " lookahead: 2Q depth=364, size=2485\n", + "\n", + "StarPreRouting job: d81p1uvtjchs73bn6ojg\n", + "StarPreRouting mean fidelity: 0.2609\n" + ] + } + ], + "source": [ + "# Pre-route: rewrite the star sub-circuit into a linear chain\n", + "prerouter = PassManager([StarPreRouting()])\n", + "qc_linear = prerouter.run(qc)\n", + "\n", + "# Transpile the pre-routed circuit with the default level-3 pass manager\n", + "pm_star = generate_preset_pass_manager(\n", + " optimization_level=3, backend=backend, seed_transpiler=seed\n", + ")\n", + "tqc_star = pm_star.run(qc_linear)\n", + "star_depth = tqc_star.depth(lambda x: x.operation.num_qubits == 2)\n", + "star_size = tqc_star.size()\n", + "print(\n", + " f\"StarPreRouting + default transpile: 2Q depth={star_depth}, size={star_size}\"\n", + ")\n", + "print(\"\\nFor reference, best-of-each-heuristic from the SABRE comparison:\")\n", + "for h in [\"basic\", \"decay\", \"lookahead\"]:\n", + " b = best_circuits[h]\n", + " print(f\" {h}: 2Q depth={b['depth']}, size={b['size']}\")\n", + "\n", + "# Submit to hardware with the same estimator settings used above\n", + "star_ops = [op.apply_layout(tqc_star.layout) for op in operators]\n", + "star_job = estimator.run([(tqc_star, star_ops)])\n", + "print(f\"\\nStarPreRouting job: {star_job.job_id()}\")\n", + "star_result = star_job.result()[0]\n", + "star_evs = list(star_result.data.evs)\n", + "star_mean = float(np.mean(star_evs))\n", + "print(f\"StarPreRouting mean fidelity: {star_mean:.4f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "790d5ac3-bd32-44eb-9358-a86d11308681", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Output" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Side-by-side: SABRE heuristics + StarPreRouting\n", + "labels = hw_heuristics + [\"StarPreRouting\"]\n", + "means = hw_means + [star_mean]\n", + "colors = [hw_colors[h] for h in hw_heuristics] + [\"#2a9d8f\"]\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(\n", + " 1, 2, figsize=(14, 5), gridspec_kw={\"width_ratios\": [2.5, 1]}\n", + ")\n", + "\n", + "# Left: correlations vs distance\n", + "for h in hw_heuristics:\n", + " evs = list(hw_results[h].data.evs)\n", + " b = best_circuits[h]\n", + " ax1.plot(\n", + " data,\n", + " evs,\n", + " marker=hw_markers[h],\n", + " color=hw_colors[h],\n", + " linewidth=2,\n", + " label=f\"{h} (2Q depth={b['depth']}, size={b['size']})\",\n", + " markersize=4,\n", + " )\n", + "ax1.plot(\n", + " data,\n", + " star_evs,\n", + " marker=\"*\",\n", + " color=\"#2a9d8f\",\n", + " linewidth=2,\n", + " label=f\"StarPreRouting (2Q depth={star_depth}, size={star_size})\",\n", + " markersize=8,\n", + ")\n", + "ax1.set_xlabel(\"Distance between qubits $i$\", fontsize=11)\n", + "ax1.set_ylabel(r\"$\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", + "ax1.set_title(\"SABRE vs. StarPreRouting on hardware\", fontsize=12)\n", + "ax1.legend(fontsize=9)\n", + "ax1.grid(alpha=0.3)\n", + "\n", + "# Right: mean fidelity bar chart\n", + "x_bar = np.arange(len(labels))\n", + "bars = ax2.bar(x_bar, means, color=colors)\n", + "ax2.set_ylabel(r\"Mean $\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", + "ax2.set_title(\"Average fidelity\", fontsize=13)\n", + "y_range = max(means) - min(means) if max(means) != min(means) else 0.01\n", + "ax2.set_ylim(min(means) - y_range * 0.2, max(means) + y_range * 0.15)\n", + "for bar, val in zip(bars, means):\n", + " ax2.text(\n", + " bar.get_x() + bar.get_width() / 2,\n", + " bar.get_height() + y_range * 0.05,\n", + " f\"{val:.4f}\",\n", + " ha=\"center\",\n", + " va=\"bottom\",\n", + " fontsize=10,\n", + " fontweight=\"bold\",\n", + " )\n", + "ax2.set_xticks(x_bar)\n", + "ax2.set_xticklabels(labels, fontsize=9, rotation=15)\n", + "ax2.grid(axis=\"y\", linestyle=\"--\", alpha=0.5)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "07269bc6-bc94-45b6-92e8-3bec711c02cc", + "metadata": {}, + "source": [ + "`StarPreRouting` produces a circuit that is substantially shallower than the best SABRE result on this problem, which is the immediate cause of the fidelity gain: less depth means less decoherence, and far fewer two-qubit gates means fewer error events.\n", + "\n", + "The takeaway is *not* that `StarPreRouting` is \"better than SABRE\" in general. It works here only because the circuit is known to be a single star and the backend has a linear path of the required length. SABRE remains the right default for arbitrary circuits. When you can identify a special structure in your circuit (star, brickwork, layers of disjoint two-qubit gates, and so on), it is worth searching Qiskit's pass library for a specialized pre-pass; the win can be dramatic." + ] + }, { "cell_type": "markdown", "id": "65c2cebe-50b9-4304-9123-bf4cea7ecff6", diff --git a/public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/0280b0b9-6320-43e5-8396-f82f9e718319-0.avif b/public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/0280b0b9-6320-43e5-8396-f82f9e718319-0.avif index bbd0ffaadb56cbd3c3775a944014e9de7f57fcc7..9868be4f65dcb87a16a2d0f4e9edc469bf158af5 100644 GIT binary patch delta 20189 zcmV(jK=!}QlL7so0g!hJP96XP00000PqMLr4FP{nacyK_bP@mx3K?oEXQzS!8Vv|C zjGO^XfCBWse)&qtb+9a^BBb#pX+}!DiXcW!zdjbQL_txP-Tf=oZM|BAi|i6S>-Pp+ z^Ll!&I59P=p$`i6eePYZL~g9G6riIvp_5Z;U6v8S6d^$Tr#Dd1!y2=&QV1y7BxQ9H zU@(7y(7&;UOyaC(cIyhZb@<2k^H!Hs?DKdrE&gv^x5Dl%>QS#g6$%ie-l34?$*7mB 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StarPreRouting is now compared head-to-head as a fourth pass manager (pm_star) in the small-scale example and as a fourth entry alongside the basic / decay / lookahead heuristics in the large-scale example, using the canonical `pm.init += StarPreRouting()` pattern. - Update all analysis markdown to match the new run results: pm_star now produces the shallowest small-scale circuit and ties pm_3 on fidelity (within error bars), and StarPreRouting substantially outperforms every SABRE heuristic on the large-scale hardware fidelity comparison. - Fix value-label-vs-title overlap on the small-scale fidelity bar chart by computing the y-axis top from mean+std+headroom (so the labels never escape the plot area) and adding title pad. - Refresh all hardware/simulation output images for the new run. --- ...anspilation-optimizations-with-sabre.ipynb | 415 +++++++----------- ...280b0b9-6320-43e5-8396-f82f9e718319-0.avif | Bin 20477 -> 30574 bytes ...90d5ac3-bd32-44eb-9358-a86d11308681-0.avif | Bin 24931 -> 0 bytes ...6dac5ed-a963-458a-ada1-89c915f036e0-0.avif | Bin 17162 -> 20073 bytes ...f75c45a-2c3e-4ef6-8336-0b3f69e6e8fb-0.avif | Bin 15925 -> 17916 bytes ...ead9bd2-17e0-4f5b-80bc-eb9b30af052e-0.avif | Bin 15358 -> 18744 bytes 6 files changed, 163 insertions(+), 252 deletions(-) delete mode 100644 public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/790d5ac3-bd32-44eb-9358-a86d11308681-0.avif diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index 82fe78a71a8..c9f37598fb7 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -11,7 +11,7 @@ "---\n", "\n", "\n", - "{/* cspell:ignore ylabel xlabel fontsize sharex edgecolor, fontweight, elinewidth, ecolor, prerouter */}\n", + "{/* cspell:ignore ylabel xlabel fontsize sharex edgecolor, fontweight, elinewidth, ecolor, prerouter, ylim */}\n", "\n", "# Transpilation optimization with SABRE\n", "*Usage estimate: 1 minute on a Heron r2 processor (NOTE: This is an estimate only. Your runtime might vary.)*" @@ -66,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "6d93c123-b92e-434d-8361-8115509e6d5f", "metadata": {}, "outputs": [ @@ -85,7 +85,6 @@ "from qiskit_ibm_runtime import EstimatorOptions\n", "from qiskit_ibm_runtime import EstimatorV2 as Estimator\n", "from qiskit_aer.primitives import EstimatorV2 as AerEstimator\n", - "from qiskit.transpiler import PassManager\n", "from qiskit.transpiler.passes import (\n", " SabreLayout,\n", " SabreSwap,\n", @@ -172,22 +171,23 @@ "source": [ "### Step 2: Optimize problem for quantum hardware execution\n", "\n", - "The default `optimization_level=3` preset pass manager already uses `SabreLayout`, but with conservative defaults. To explore the impact of stronger settings, we replace that pass with a custom `SabreLayout` configured for more aggressive search, while leaving every other pass in the layout stage untouched.\n", + "The default `optimization_level=3` preset pass manager already uses `SabreLayout`, but with conservative defaults. To explore the impact of stronger settings, that pass is replaced with a custom `SabreLayout` configured for more aggressive search, while every other pass in the layout stage is left untouched. As a separate point of comparison, a fourth pass manager keeps the default `SabreLayout` but adds [`StarPreRouting`](/docs/api/qiskit/qiskit.transpiler.passes.StarPreRouting) to the init stage. `StarPreRouting` is a *structure-aware* pass that detects star sub-circuits and rewrites them into a linear chain before routing.\n", "\n", "The workflow is:\n", "1. **Inspect** the default pass manager to see where `SabreLayout` sits inside the `layout` stage.\n", - "2. **Replace** that pass with a custom `SabreLayout` instance using `PassManager.replace(index, passes=...)`.\n", - "3. **Run** all three pass managers and compare metrics.\n", + "2. **Replace** that pass with a custom `SabreLayout` instance using `PassManager.replace(index, passes=...)`, and build the `pm_star` variant with `pm.init += StarPreRouting()`.\n", + "3. **Run** all four pass managers and compare metrics.\n", "\n", - "We compare three configurations:\n", + "The four configurations are:\n", "\n", - "| Config | `max_iterations` | `layout_trials` | `swap_trials` |\n", - "|--------|----------------:|----------------:|--------------:|\n", - "| `pm_1` (default) | 4 | 20 | 20 |\n", - "| `pm_2` | 4 | 200 | 200 |\n", - "| `pm_3` | 8 | 200 | 200 |\n", + "| Config | Description |\n", + "|--------|-------------|\n", + "| `pm_1` (default) | Default level-3 preset (`SabreLayout` with `max_iterations=4`, `layout_trials=20`, `swap_trials=20`) |\n", + "| `pm_2` | Custom `SabreLayout` (`max_iterations=4`, `layout_trials=200`, `swap_trials=200`) |\n", + "| `pm_3` | Custom `SabreLayout` (`max_iterations=8`, `layout_trials=200`, `swap_trials=200`) |\n", + "| `pm_star` | Default preset with `StarPreRouting` added to the init stage |\n", "\n", - "**Key parameters:**\n", + "**Key SABRE parameters:**\n", "- **`layout_trials` / `swap_trials`**: Control how many candidate layouts and routing solutions SABRE explores. Increasing the number of trials means SABRE samples a wider search space, increasing the chance of finding a better solution.\n", "- **`max_iterations`**: Controls how many forward-backward routing refinement cycles SABRE performs on each candidate. SABRE iteratively improves the layout by learning from routing feedback, so the more iterations, the better the improvements.\n", "\n", @@ -310,6 +310,12 @@ "pm_2.layout.replace(index=2, passes=wrap_sabre(sl_2))\n", "pm_3.layout.replace(index=2, passes=wrap_sabre(sl_3))\n", "\n", + "# Build pm_star: default preset with StarPreRouting added to the init stage\n", + "pm_star = generate_preset_pass_manager(\n", + " optimization_level=3, backend=backend, seed_transpiler=seed\n", + ")\n", + "pm_star.init += StarPreRouting()\n", + "\n", "# Visualize pm_3 after replacement (pm_2 has the same structure, only max_iterations differs)\n", "pm_3.layout.draw()" ] @@ -319,7 +325,7 @@ "id": "378a5829-b18b-4359-827f-b052c7cc1b89", "metadata": {}, "source": [ - "Position **[2]** is now a `ConditionalController` again — identical in shape to the default, but the inner `SabreLayout` is our custom one (with `layout_trials=200`, `swap_trials=200`, and `max_iterations=8` for `pm_3`; `pm_2` is identical apart from `max_iterations=4`). The protective barrier and the `_vf2_match_not_found` gating are preserved, so the only difference from `pm_1` is the SABRE configuration itself.\n", + "Position **[2]** is now a `ConditionalController` again — identical in shape to the default, but the inner `SabreLayout` is our custom one (with `layout_trials=200`, `swap_trials=200`, and `max_iterations=8` for `pm_3`; `pm_2` is identical apart from `max_iterations=4`). The protective barrier and the `_vf2_match_not_found` gating are preserved, so the only difference between `pm_2`/`pm_3` and `pm_1` is the SABRE configuration itself. `pm_star` keeps the default `SabreLayout` and only adds `StarPreRouting` at the end of the init stage.\n", "\n", "**Step 2c: Run each pass manager and compare.**" ] @@ -336,11 +342,13 @@ "text": [ "pm_1 (4,20,20): 2Q Depth 38, Size 183, Time 0.01s\n", "pm_2 (4,200,200): 2Q Depth 36, Size 183, Time 0.15s\n", - "pm_3 (8,200,200): 2Q Depth 30, Size 158, Time 0.15s\n", + "pm_3 (8,200,200): 2Q Depth 30, Size 158, Time 0.16s\n", + "pm_star (default + StarPreRouting): 2Q Depth 26, Size 160, Time 0.01s\n", "\n", "Improvement vs. default (pm_1):\n", " pm_2 (4,200,200): 2Q depth +5.3%, size +0.0%\n", - " pm_3 (8,200,200): 2Q depth +21.1%, size +13.7%\n" + " pm_3 (8,200,200): 2Q depth +21.1%, size +13.7%\n", + " pm_star (default + StarPreRouting): 2Q depth +31.6%, size +12.6%\n" ] } ], @@ -350,6 +358,7 @@ " (\"pm_1 (4,20,20)\", pm_1),\n", " (\"pm_2 (4,200,200)\", pm_2),\n", " (\"pm_3 (8,200,200)\", pm_3),\n", + " (\"pm_star (default + StarPreRouting)\", pm_star),\n", "]:\n", " t0 = time.time()\n", " tqc = pm.run(qc_sim)\n", @@ -369,7 +378,11 @@ "# Print improvement relative to default (pm_1)\n", "baseline = results_sim[\"pm_1 (4,20,20)\"]\n", "print(\"\\nImprovement vs. default (pm_1):\")\n", - "for name in [\"pm_2 (4,200,200)\", \"pm_3 (8,200,200)\"]:\n", + "for name in [\n", + " \"pm_2 (4,200,200)\",\n", + " \"pm_3 (8,200,200)\",\n", + " \"pm_star (default + StarPreRouting)\",\n", + "]:\n", " r = results_sim[name]\n", " depth_pct = (baseline[\"depth\"] - r[\"depth\"]) / baseline[\"depth\"] * 100\n", " size_pct = (baseline[\"size\"] - r[\"size\"]) / baseline[\"size\"] * 100\n", @@ -381,9 +394,9 @@ "id": "0c27cbdb-c065-4a36-a0ef-6c9572c7a4a5", "metadata": {}, "source": [ - "The more optimized pass managers produced circuits with lower 2Q depth and fewer gates. While this improvement is not guaranteed on every run, it is the general trend: exploring more candidates and refining them with additional iterations gives SABRE a better chance of finding a high-quality layout.\n", + "All three modified pass managers produced circuits with lower 2Q depth than the default. The aggressive SABRE configurations (`pm_2` and `pm_3`) trade longer transpilation time for a wider search, while `pm_star` leverages the star structure of the circuit and produces an even shallower result without paying any extra transpilation cost. The exact gains will vary from run to run, but the general trend is consistent: more SABRE trials and iterations let the heuristic search a wider space, and structure-aware passes like `StarPreRouting` can sidestep that search entirely when the circuit shape matches.\n", "\n", - "Note that this is a small circuit (15 qubits), so the room for improvement is limited. With larger circuits (100+ qubits), the search space grows dramatically and the benefits of increased trials and iterations become much more pronounced." + "Even at this small scale (15 qubits), the room for improvement is enough that all three approaches beat the default. With larger circuits (100+ qubits), the search space grows dramatically and the benefits of both increased trials and structure-aware passes become much more pronounced, as the large-scale section will show." ] }, { @@ -407,7 +420,7 @@ "depths = [results_sim[n][\"depth\"] for n in pm_names]\n", "sizes = [results_sim[n][\"size\"] for n in pm_names]\n", "times = [results_sim[n][\"time\"] for n in pm_names]\n", - "colors = [\"#404080\", \"#2a9d8f\", \"#a8d05e\"]\n", + "colors = [\"#404080\", \"#2a9d8f\", \"#a8d05e\", \"#e29bdd\"]\n", "x = np.arange(len(pm_names))\n", "\n", "fig, axs = plt.subplots(1, 3, figsize=(14, 5))\n", @@ -488,11 +501,11 @@ "\n", "for ax in axs:\n", " ax.set_xticks(x)\n", - " ax.set_xticklabels(pm_names, fontsize=9, rotation=15)\n", + " ax.set_xticklabels(pm_names, fontsize=8, rotation=15)\n", " ax.grid(axis=\"y\", linestyle=\"--\", alpha=0.5)\n", "\n", "plt.suptitle(\n", - " \"Transpilation quality vs. SABRE configuration\",\n", + " \"Transpilation quality vs. configuration\",\n", " fontsize=14,\n", " fontweight=\"bold\",\n", " y=1.02,\n", @@ -513,7 +526,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 15, "id": "a91b9887-c8cf-48fd-a6fb-a5506d201f8d", "metadata": {}, "outputs": [ @@ -531,9 +544,10 @@ "Run 8/10 done\n", "Run 9/10 done\n", "Run 10/10 done\n", - "pm_1 (4,20,20): mean fidelity = 0.9464 +/- 0.0073\n", - "pm_2 (4,200,200): mean fidelity = 0.9536 +/- 0.0055\n", - "pm_3 (8,200,200): mean fidelity = 0.9510 +/- 0.0079\n" + "pm_1 (4,20,20): mean fidelity = 0.9510 +/- 0.0094\n", + "pm_2 (4,200,200): mean fidelity = 0.9513 +/- 0.0043\n", + "pm_3 (8,200,200): mean fidelity = 0.9540 +/- 0.0065\n", + "pm_star (default + StarPreRouting): mean fidelity = 0.9547 +/- 0.0072\n" ] } ], @@ -574,7 +588,7 @@ "id": "89e6c70f-4da4-470f-b0fa-2e2521c82f6f", "metadata": {}, "source": [ - "Because this is a small circuit, we expect the fidelity values to be relatively close across all three configurations. The circuits are short enough that hardware noise does not heavily penalize even the least optimized version. Still, there is a consistent improvement in mean fidelity for the configurations that produced lower 2Q depth and gate count, confirming that transpilation quality has a measurable impact even at a small scale." + "Because this is a small circuit, the fidelity values land relatively close across all four configurations. The circuits are short enough that hardware noise does not heavily penalize even the least optimized version. Mean fidelity broadly tracks 2Q depth: `pm_3` and `pm_star`, the two shallowest circuits, achieve the highest fidelities and are essentially tied within their error bars. `pm_2` is a useful counter-example: although its 2Q depth is lower than `pm_1`'s, its mean fidelity ends up marginally lower as well, which is a reminder that the depth-to-fidelity link is statistical rather than deterministic. The specific qubits a layout selects and the calibration of those qubits at run time also matter." ] }, { @@ -589,7 +603,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 16, "id": "a6dac5ed-a963-458a-ada1-89c915f036e0", "metadata": {}, "outputs": [ @@ -605,8 +619,8 @@ ], "source": [ "data_sim = list(range(1, len(operators_sim) + 1))\n", - "markers = [\"o\", \"s\", \"^\"]\n", - "colors_line = [\"#404080\", \"#2a9d8f\", \"#a8d05e\"]\n", + "markers = [\"o\", \"s\", \"^\", \"*\"]\n", + "colors_line = [\"#404080\", \"#2a9d8f\", \"#a8d05e\", \"#e29bdd\"]\n", "\n", "fig, (ax1, ax2) = plt.subplots(\n", " 1, 2, figsize=(14, 5), gridspec_kw={\"width_ratios\": [2.5, 1]}\n", @@ -647,20 +661,22 @@ " x_bar, means, yerr=stds, color=colors_line, capsize=5, ecolor=\"gray\"\n", ")\n", "ax2.set_ylabel(r\"Mean $\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", - "ax2.set_title(\"Average fidelity\", fontsize=13)\n", + "ax2.set_title(\"Average fidelity\", fontsize=13, pad=12)\n", "y_range = max(means) - min(means) if max(means) != min(means) else 0.01\n", - "ax2.set_ylim(min(means) - y_range * 0.8, max(means) + y_range * 0.8)\n", + "# Top of ylim accounts for the bar height + std error bar + headroom for the value label\n", + "y_top = max(m + s for m, s in zip(means, stds)) + y_range * 1.5\n", + "ax2.set_ylim(min(means) - y_range * 0.8, y_top)\n", "for bar, val, std in zip(bars, means, stds):\n", " ax2.text(\n", " bar.get_x() + bar.get_width() / 2,\n", - " bar.get_height() + std + y_range * 0.08,\n", + " bar.get_height() + std + y_range * 0.15,\n", " f\"{val:.4f}\",\n", " ha=\"center\",\n", " va=\"bottom\",\n", " fontsize=10,\n", " fontweight=\"bold\",\n", " )\n", - "# Annotate % improvement vs pm_1\n", + "# Annotate % change vs pm_1\n", "baseline_mean = means[0]\n", "for i in range(1, len(means)):\n", " pct = (means[i] - baseline_mean) / baseline_mean * 100\n", @@ -689,13 +705,14 @@ "id": "05235ab1-b473-4267-a34c-5f56e728550b", "metadata": {}, "source": [ - "The results show a clear connection between transpilation quality and execution fidelity:\n", + "The results show a clear connection between transpilation quality and execution fidelity, with a few useful caveats:\n", "\n", - "- **`pm_1` (default)**: Baseline. With only 20 trials and four iterations, SABRE has limited room to optimize, resulting in the deepest circuit.\n", - "- **`pm_2` (more trials)**: Exploring ten times more candidates finds layouts comparable to or slightly better than the default. The improvement depends on how much the search space benefits from broader sampling.\n", - "- **`pm_3` (more trials + more iterations)**: Doubling `max_iterations` to 8 gives SABRE more refinement cycles, producing the shallowest and smallest circuit. This translates to higher mean fidelity because the circuit runs faster (less decoherence) and uses fewer two-qubit gates (fewer error opportunities).\n", + "- **`pm_1` (default)**: Baseline. With only 20 trials and four iterations, SABRE has limited room to optimize, resulting in the deepest of the SABRE-only circuits.\n", + "- **`pm_2` (more trials)**: Exploring ten times more candidates finds a slightly shallower layout, but mean fidelity is roughly flat (and can even dip below the baseline within noise) because the depth gain is small at this scale.\n", + "- **`pm_3` (more trials + more iterations)**: Doubling `max_iterations` to 8 gives SABRE more refinement cycles, producing the shallowest SABRE-only circuit and the highest mean fidelity in the comparison.\n", + "- **`pm_star` (default + StarPreRouting)**: Adds `StarPreRouting` to the init stage of an otherwise default preset. The structure-aware rewrite collapses the star into a linear chain that the rest of the transpiler maps onto the device's linear path, producing the shallowest circuit overall (slightly better than `pm_3`) and matching `pm_3` on fidelity within error bars. It does this with the same transpilation time as the default, since the rewrite is essentially free compared to SABRE's stochastic search.\n", "\n", - "Note that increasing `max_iterations` does not always have a positive impact. In this case it helped significantly, but for other circuits or backends the additional iterations may not yield further improvement, or may even slightly hurt performance due to over-optimization of a local minimum. In general, you should increase `layout_trials` and `swap_trials` as much as your time budget allows, since more trials always increases the chance of finding a better layout. Increasing `max_iterations` is worth testing but should be validated for your specific use case." + "Note that increasing `max_iterations` does not always have a positive impact. In this case it helped significantly, but for other circuits or backends the additional iterations may not yield further improvement, or may even slightly hurt performance due to over-optimization of a local minimum. In general, you should increase `layout_trials` and `swap_trials` as much as your time budget allows, since more trials always increases the chance of finding a better layout. Increasing `max_iterations` is worth testing but should be validated for your specific use case. Specialized passes like `StarPreRouting` are similar in spirit but more circuit-dependent: they only help when the circuit actually contains the structure they target. The gain is large when applicable and zero otherwise, but they cost essentially nothing to try." ] }, { @@ -712,7 +729,9 @@ "\n", "To use a custom heuristic, create a `SabreSwap` pass and connect it to `SabreLayout` via the `routing_pass` parameter.\n", "\n", - "Here we compare all three heuristics at scale on a 100-qubit GHZ circuit. We run multiple layout trials with different seeds, select the best transpiled circuit from each heuristic, and submit them to real hardware." + "A fourth pass manager is added to the comparison: `pm_star_hw`, which keeps the default `SabreLayout`/`SabreSwap` settings but adds `StarPreRouting` to the init stage. At this scale (100 qubits) the SABRE search is harder, and the rewrite from a star into a linear chain becomes a clear win because a Heron processor has linear paths long enough to host the resulting circuit.\n", + "\n", + "Here we compare all three SABRE heuristics plus `StarPreRouting` at scale on a 100-qubit GHZ circuit. We run multiple layout trials with different seeds for the SABRE configurations, select the best transpiled circuit from each, and submit them all to real hardware alongside the `StarPreRouting` result." ] }, { @@ -773,7 +792,11 @@ "lookahead:\n", " 2Q depth: min: 364, mean: 424.6, std: 36.5\n", " size : min: 2335, mean: 3014.6, std: 388.1\n", - " best seed: 51 (2Q depth=364, size=2485)\n" + " best seed: 51 (2Q depth=364, size=2485)\n", + "StarPreRouting:\n", + " 2Q depth: min: 196, mean: 196.0, std: 0.0\n", + " size : min: 1151, mean: 1151.0, std: 0.0\n", + " best seed: 42 (2Q depth=196, size=1151)\n" ] } ], @@ -806,6 +829,7 @@ "\n", "heuristic_results = {}\n", "\n", + "# Three SABRE heuristics, swept over seeds\n", "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", " trials = []\n", " for s in seed_list:\n", @@ -837,10 +861,38 @@ " )\n", "\n", " heuristic_results[heuristic] = trials\n", + "\n", + "# Default preset + StarPreRouting in init, also swept over seeds for a fair comparison\n", + "star_trials = []\n", + "for s in seed_list:\n", + " pm_star_hw = generate_preset_pass_manager(\n", + " optimization_level=3, backend=backend, seed_transpiler=s\n", + " )\n", + " pm_star_hw.init += StarPreRouting()\n", + "\n", + " t0 = time.time()\n", + " tqc = pm_star_hw.run(qc)\n", + " elapsed = time.time() - t0\n", + " depth = tqc.depth(lambda x: x.operation.num_qubits == 2)\n", + " size = tqc.size()\n", + " star_trials.append(\n", + " {\n", + " \"tqc\": tqc,\n", + " \"depth\": depth,\n", + " \"size\": size,\n", + " \"time\": elapsed,\n", + " \"seed\": s,\n", + " }\n", + " )\n", + "heuristic_results[\"StarPreRouting\"] = star_trials\n", + "\n", + "# Print summary for each entry\n", + "for label in [\"basic\", \"decay\", \"lookahead\", \"StarPreRouting\"]:\n", + " trials = heuristic_results[label]\n", " depths = [t[\"depth\"] for t in trials]\n", " sizes = [t[\"size\"] for t in trials]\n", " best = min(trials, key=lambda t: t[\"depth\"])\n", - " print(f\"{heuristic}:\")\n", + " print(f\"{label}:\")\n", " print(\n", " f\" 2Q depth: min: {min(depths)}, mean: {np.mean(depths):.1f}, std: {np.std(depths):.1f}\"\n", " )\n", @@ -873,26 +925,32 @@ "text": [ "basic: best 2Q depth=524, size=3852 (seed=51)\n", "decay: best 2Q depth=387, size=2786 (seed=45)\n", - "lookahead: best 2Q depth=364, size=2485 (seed=51)\n" + "lookahead: best 2Q depth=364, size=2485 (seed=51)\n", + "StarPreRouting: best 2Q depth=196, size=1151 (seed=42)\n" ] } ], "source": [ - "hw_colors = {\"basic\": \"#ff7f0e\", \"decay\": \"#d62728\", \"lookahead\": \"#1f77b4\"}\n", + "hw_colors = {\n", + " \"basic\": \"#ff7f0e\",\n", + " \"decay\": \"#d62728\",\n", + " \"lookahead\": \"#1f77b4\",\n", + " \"StarPreRouting\": \"#2a9d8f\",\n", + "}\n", "\n", "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(13, 5))\n", "\n", - "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", - " trials = heuristic_results[heuristic]\n", + "for label in [\"basic\", \"decay\", \"lookahead\", \"StarPreRouting\"]:\n", + " trials = heuristic_results[label]\n", " depths = [t[\"depth\"] for t in trials]\n", " sizes = [t[\"size\"] for t in trials]\n", " seeds = [t[\"seed\"] for t in trials]\n", - " color = hw_colors[heuristic]\n", + " color = hw_colors[label]\n", "\n", " ax1.scatter(\n", " seeds,\n", " depths,\n", - " label=heuristic,\n", + " label=label,\n", " color=color,\n", " alpha=0.8,\n", " edgecolor=\"k\",\n", @@ -903,7 +961,7 @@ " ax2.scatter(\n", " seeds,\n", " sizes,\n", - " label=heuristic,\n", + " label=label,\n", " color=color,\n", " alpha=0.8,\n", " edgecolor=\"k\",\n", @@ -924,7 +982,7 @@ "ax2.grid(alpha=0.3)\n", "\n", "plt.suptitle(\n", - " \"Transpilation variability across seeds: basic vs. decay vs. lookahead\",\n", + " \"Transpilation variability across seeds: SABRE heuristics vs. StarPreRouting\",\n", " fontsize=14,\n", " fontweight=\"bold\",\n", " y=1.02,\n", @@ -933,10 +991,10 @@ "plt.show()\n", "\n", "# Summary comparison\n", - "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", - " best = min(heuristic_results[heuristic], key=lambda t: t[\"depth\"])\n", + "for label in [\"basic\", \"decay\", \"lookahead\", \"StarPreRouting\"]:\n", + " best = min(heuristic_results[label], key=lambda t: t[\"depth\"])\n", " print(\n", - " f\"{heuristic}: best 2Q depth={best['depth']}, size={best['size']} (seed={best['seed']})\"\n", + " f\"{label}: best 2Q depth={best['depth']}, size={best['size']} (seed={best['seed']})\"\n", " )" ] }, @@ -953,12 +1011,15 @@ "Best basic: 2Q depth=524, size=3852\n", "Best decay: 2Q depth=387, size=2786\n", "Best lookahead: 2Q depth=364, size=2485\n", - "basic job: d81our80bvlc73d1dap0\n", - "decay job: d81ourg0bvlc73d1dapg\n", - "lookahead job: d81ouro0bvlc73d1daq0\n", + "Best StarPreRouting: 2Q depth=196, size=1151\n", + "basic job: d81q5tnoha1c73bknprg\n", + "decay job: d81q5tugbeec73aktopg\n", + "lookahead job: d81q5to0bvlc73d1epe0\n", + "StarPreRouting job: d81q5u7tjchs73bn82hg\n", "basic job done\n", "decay job done\n", - "lookahead job done\n" + "lookahead job done\n", + "StarPreRouting job done\n" ] } ], @@ -966,12 +1027,12 @@ "# -------------------------Step 3: Execute on hardware-------------------------\n", "\n", "best_circuits = {}\n", - "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", - " best_circuits[heuristic] = min(\n", - " heuristic_results[heuristic], key=lambda t: t[\"depth\"]\n", + "for label in [\"basic\", \"decay\", \"lookahead\", \"StarPreRouting\"]:\n", + " best_circuits[label] = min(\n", + " heuristic_results[label], key=lambda t: t[\"depth\"]\n", " )\n", - " b = best_circuits[heuristic]\n", - " print(f\"Best {heuristic}: 2Q depth={b['depth']}, size={b['size']}\")\n", + " b = best_circuits[label]\n", + " print(f\"Best {label}: 2Q depth={b['depth']}, size={b['size']}\")\n", "\n", "options = EstimatorOptions()\n", "options.resilience_level = 2\n", @@ -981,18 +1042,16 @@ "\n", "hw_jobs = {}\n", "hw_ops = {}\n", - "for heuristic, best in best_circuits.items():\n", - " hw_ops[heuristic] = [\n", - " op.apply_layout(best[\"tqc\"].layout) for op in operators\n", - " ]\n", - " hw_jobs[heuristic] = estimator.run([(best[\"tqc\"], hw_ops[heuristic])])\n", - " print(f\"{heuristic} job: {hw_jobs[heuristic].job_id()}\")\n", + "for label, best in best_circuits.items():\n", + " hw_ops[label] = [op.apply_layout(best[\"tqc\"].layout) for op in operators]\n", + " hw_jobs[label] = estimator.run([(best[\"tqc\"], hw_ops[label])])\n", + " print(f\"{label} job: {hw_jobs[label].job_id()}\")\n", "estimator.options.environment.job_tags = [\"TUT_TOWS\"]\n", "\n", "hw_results = {}\n", - "for heuristic, job in hw_jobs.items():\n", - " hw_results[heuristic] = job.result()[0]\n", - " print(f\"{heuristic} job done\")" + "for label, job in hw_jobs.items():\n", + " hw_results[label] = job.result()[0]\n", + " print(f\"{label} job done\")" ] }, { @@ -1016,9 +1075,10 @@ "text": [ "\n", "Mean fidelity:\n", - " basic: 0.0356\n", - " decay: 0.1758\n", - " lookahead: 0.1823\n" + " basic: 0.0344\n", + " decay: 0.1298\n", + " lookahead: 0.1857\n", + " StarPreRouting: 0.3295\n" ] } ], @@ -1026,24 +1086,30 @@ "# -------------------------Step 4: Post-process-------------------------\n", "\n", "data = list(range(1, len(operators) + 1))\n", - "hw_markers = {\"basic\": \"D\", \"decay\": \"o\", \"lookahead\": \"s\"}\n", + "hw_markers = {\n", + " \"basic\": \"D\",\n", + " \"decay\": \"o\",\n", + " \"lookahead\": \"s\",\n", + " \"StarPreRouting\": \"*\",\n", + "}\n", + "hw_labels = [\"basic\", \"decay\", \"lookahead\", \"StarPreRouting\"]\n", "\n", "fig, (ax1, ax2) = plt.subplots(\n", " 1, 2, figsize=(14, 5), gridspec_kw={\"width_ratios\": [2.5, 1]}\n", ")\n", "\n", "# Left: correlations vs distance\n", - "for heuristic in [\"basic\", \"decay\", \"lookahead\"]:\n", - " evs = list(hw_results[heuristic].data.evs)\n", - " b = best_circuits[heuristic]\n", + "for label in hw_labels:\n", + " evs = list(hw_results[label].data.evs)\n", + " b = best_circuits[label]\n", " ax1.plot(\n", " data,\n", " evs,\n", - " marker=hw_markers[heuristic],\n", - " color=hw_colors[heuristic],\n", + " marker=hw_markers[label],\n", + " color=hw_colors[label],\n", " linewidth=2,\n", - " label=f\"{heuristic} (2Q depth={b['depth']}, size={b['size']})\",\n", - " markersize=4,\n", + " label=f\"{label} (2Q depth={b['depth']}, size={b['size']})\",\n", + " markersize=5 if label == \"StarPreRouting\" else 4,\n", " )\n", "\n", "ax1.set_xlabel(\"Distance between qubits $i$\", fontsize=11)\n", @@ -1055,21 +1121,20 @@ "ax1.grid(alpha=0.3)\n", "\n", "# Right: mean fidelity bar chart\n", - "hw_heuristics = [\"basic\", \"decay\", \"lookahead\"]\n", - "hw_means = [np.mean(list(hw_results[h].data.evs)) for h in hw_heuristics]\n", - "hw_bar_colors = [hw_colors[h] for h in hw_heuristics]\n", - "x_bar = np.arange(len(hw_heuristics))\n", + "hw_means = [np.mean(list(hw_results[label].data.evs)) for label in hw_labels]\n", + "hw_bar_colors = [hw_colors[label] for label in hw_labels]\n", + "x_bar = np.arange(len(hw_labels))\n", "bars = ax2.bar(x_bar, hw_means, color=hw_bar_colors)\n", "ax2.set_ylabel(r\"Mean $\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", "ax2.set_title(\"Average fidelity\", fontsize=13)\n", "y_range = (\n", " max(hw_means) - min(hw_means) if max(hw_means) != min(hw_means) else 0.01\n", ")\n", - "ax2.set_ylim(min(hw_means) - y_range * 0.8, max(hw_means) + y_range * 0.8)\n", + "ax2.set_ylim(min(hw_means) - y_range * 0.2, max(hw_means) + y_range * 0.15)\n", "for bar, val in zip(bars, hw_means):\n", " ax2.text(\n", " bar.get_x() + bar.get_width() / 2,\n", - " bar.get_height() + y_range * 0.08,\n", + " bar.get_height() + y_range * 0.05,\n", " f\"{val:.4f}\",\n", " ha=\"center\",\n", " va=\"bottom\",\n", @@ -1077,15 +1142,15 @@ " fontweight=\"bold\",\n", " )\n", "ax2.set_xticks(x_bar)\n", - "ax2.set_xticklabels(hw_heuristics, fontsize=10)\n", + "ax2.set_xticklabels(hw_labels, fontsize=9, rotation=15)\n", "ax2.grid(axis=\"y\", linestyle=\"--\", alpha=0.5)\n", "\n", "fig.tight_layout()\n", "plt.show()\n", "\n", "print(\"\\nMean fidelity:\")\n", - "for h, m in zip(hw_heuristics, hw_means):\n", - " print(f\" {h}: {m:.4f}\")" + "for label, m in zip(hw_labels, hw_means):\n", + " print(f\" {label}: {m:.4f}\")" ] }, { @@ -1095,171 +1160,17 @@ "source": [ "### Analysis\n", "\n", - "The scatter plots show significant variability across seeds for all three heuristics, which underscores the importance of running multiple layout trials rather than relying on a single transpilation.\n", + "The scatter plots show significant variability across seeds for all three SABRE heuristics, which underscores the importance of running multiple layout trials rather than relying on a single transpilation. The `StarPreRouting` line is essentially flat across seeds because the rewrite from a star into a linear chain is deterministic given the structure; the downstream SABRE routing then has very little freedom on a linear chain, so the seed has almost no effect on the final depth or size.\n", "\n", - "From the transpilation results, both the `decay` and `lookahead` heuristics consistently outperform `basic` by a wide margin in terms of 2Q depth and circuit size. The `basic` heuristic, while fast, uses a simple greedy strategy that often leads to substantially deeper circuits. For this type of star-topology GHZ circuit, `lookahead` tends to produce the lowest 2Q depth and gate count overall, since its forward-looking cost function is well suited to circuits with long-range connectivity patterns.\n", + "From the transpilation results, both the `decay` and `lookahead` heuristics consistently outperform `basic` by a wide margin. The `basic` heuristic, while fast, uses a simple greedy strategy that often leads to substantially deeper circuits. For this star-topology GHZ circuit, `lookahead` tends to produce the lowest 2Q depth and gate count among the SABRE heuristics, since its forward-looking cost function is well suited to circuits with long-range connectivity patterns. `StarPreRouting`, however, dwarfs all three by a substantial margin: by rewriting the star into a linear chain before routing, it short-circuits the search problem entirely and delivers a circuit that the rest of the transpiler can map onto a linear path with minimal additional SWAPs.\n", "\n", - "However, lower 2Q depth and gate count do not always translate directly to higher fidelity. In this example, `decay` achieved a higher average fidelity than `lookahead` despite having a slightly higher 2Q depth. This illustrates that fidelity depends on more than just depth and gate count. The specific circuit structure, how gates are arranged relative to the device's noise profile, and which physical qubits are used all play a role. Notably, while `decay` had a higher average fidelity overall, `lookahead` consistently achieved better fidelity at longer distances (beyond qubit distance ~60), where the impact of circuit depth becomes more dominant.\n", + "That advantage carries straight over to hardware fidelity. Lower 2Q depth and gate count do not always translate one-for-one to higher fidelity (the specific physical qubits a layout uses and their calibration at run time also matter), but when the depth gap is as large as the one between SABRE and `StarPreRouting` here, the structure-aware approach wins decisively because the circuit accumulates far less decoherence and far fewer two-qubit error events. The fidelity bar chart shows `StarPreRouting` substantially ahead of even the best SABRE heuristic, while `basic` sits well below the rest because its much deeper circuits accumulate the most error.\n", "\n", "**Key takeaways:**\n", - "- The `decay` and `lookahead` heuristics are substantially better than `basic` for non-trivial circuits. It is generally helpful to prefer one of the two for production workloads.\n", - "- The best heuristic depends on your circuit and hardware. Testing multiple heuristics with multiple seeds is the most reliable strategy.\n", - "- If you want to explore even more layouts, increase `swap_trials` (and `layout_trials` when you are not pinning a custom routing pass) rather than fanning the work out to remote nodes — the SABRE passes already parallelize trials across local threads, and the per-trial work is small enough that distribution overhead typically dominates any speedup." - ] - }, - { - "cell_type": "markdown", - "id": "1ca738b9-1510-46f3-a531-5dfc1654a052", - "metadata": {}, - "source": [ - "## Beating SABRE with a specialized pre-routing pass\n", - "\n", - "The analysis above shows that even the best SABRE heuristic leaves a lot on the table on this star-topology circuit. The shallowest 2Q depth produced by any heuristic is still well above what is fundamentally required for a star sub-circuit on a backend with a long enough linear path. That is because SABRE is a *general-purpose* algorithm: it has to discover the routing through stochastic search and does not know that this circuit is a single star.\n", - "\n", - "For circuits with a known structure, a specialized pass can do much better. The [`StarPreRouting`](/docs/api/qiskit/qiskit.transpiler.passes.StarPreRouting) pass detects star sub-circuits and rewrites them into a linear chain before routing. The star-topology GHZ circuit used here is the textbook case: the circuit *is* a single star, and a Heron processor has linear paths long enough to host the resulting linear circuit. After the rewrite, the rest of the transpiler only has to lay a linear chain onto the device, which is a problem with a known optimal solution.\n", - "\n", - "The following code applies `StarPreRouting` as a pre-pass and then hands the rewritten circuit to the default `optimization_level=3` pass manager. The resulting transpilation metrics and hardware fidelity are compared against the best SABRE heuristics from the previous section." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "8057db61-01ae-480f-8df3-cb840bfbb174", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "StarPreRouting + default transpile: 2Q depth=373, size=2028\n", - "\n", - "For reference, best-of-each-heuristic from the SABRE comparison:\n", - " basic: 2Q depth=524, size=3852\n", - " decay: 2Q depth=387, size=2786\n", - " lookahead: 2Q depth=364, size=2485\n", - "\n", - "StarPreRouting job: d81p1uvtjchs73bn6ojg\n", - "StarPreRouting mean fidelity: 0.2609\n" - ] - } - ], - "source": [ - "# Pre-route: rewrite the star sub-circuit into a linear chain\n", - "prerouter = PassManager([StarPreRouting()])\n", - "qc_linear = prerouter.run(qc)\n", - "\n", - "# Transpile the pre-routed circuit with the default level-3 pass manager\n", - "pm_star = generate_preset_pass_manager(\n", - " optimization_level=3, backend=backend, seed_transpiler=seed\n", - ")\n", - "tqc_star = pm_star.run(qc_linear)\n", - "star_depth = tqc_star.depth(lambda x: x.operation.num_qubits == 2)\n", - "star_size = tqc_star.size()\n", - "print(\n", - " f\"StarPreRouting + default transpile: 2Q depth={star_depth}, size={star_size}\"\n", - ")\n", - "print(\"\\nFor reference, best-of-each-heuristic from the SABRE comparison:\")\n", - "for h in [\"basic\", \"decay\", \"lookahead\"]:\n", - " b = best_circuits[h]\n", - " print(f\" {h}: 2Q depth={b['depth']}, size={b['size']}\")\n", - "\n", - "# Submit to hardware with the same estimator settings used above\n", - "star_ops = [op.apply_layout(tqc_star.layout) for op in operators]\n", - "star_job = estimator.run([(tqc_star, star_ops)])\n", - "print(f\"\\nStarPreRouting job: {star_job.job_id()}\")\n", - "star_result = star_job.result()[0]\n", - "star_evs = list(star_result.data.evs)\n", - "star_mean = float(np.mean(star_evs))\n", - "print(f\"StarPreRouting mean fidelity: {star_mean:.4f}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "790d5ac3-bd32-44eb-9358-a86d11308681", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\"Output" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Side-by-side: SABRE heuristics + StarPreRouting\n", - "labels = hw_heuristics + [\"StarPreRouting\"]\n", - "means = hw_means + [star_mean]\n", - "colors = [hw_colors[h] for h in hw_heuristics] + [\"#2a9d8f\"]\n", - "\n", - "fig, (ax1, ax2) = plt.subplots(\n", - " 1, 2, figsize=(14, 5), gridspec_kw={\"width_ratios\": [2.5, 1]}\n", - ")\n", - "\n", - "# Left: correlations vs distance\n", - "for h in hw_heuristics:\n", - " evs = list(hw_results[h].data.evs)\n", - " b = best_circuits[h]\n", - " ax1.plot(\n", - " data,\n", - " evs,\n", - " marker=hw_markers[h],\n", - " color=hw_colors[h],\n", - " linewidth=2,\n", - " label=f\"{h} (2Q depth={b['depth']}, size={b['size']})\",\n", - " markersize=4,\n", - " )\n", - "ax1.plot(\n", - " data,\n", - " star_evs,\n", - " marker=\"*\",\n", - " color=\"#2a9d8f\",\n", - " linewidth=2,\n", - " label=f\"StarPreRouting (2Q depth={star_depth}, size={star_size})\",\n", - " markersize=8,\n", - ")\n", - "ax1.set_xlabel(\"Distance between qubits $i$\", fontsize=11)\n", - "ax1.set_ylabel(r\"$\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", - "ax1.set_title(\"SABRE vs. StarPreRouting on hardware\", fontsize=12)\n", - "ax1.legend(fontsize=9)\n", - "ax1.grid(alpha=0.3)\n", - "\n", - "# Right: mean fidelity bar chart\n", - "x_bar = np.arange(len(labels))\n", - "bars = ax2.bar(x_bar, means, color=colors)\n", - "ax2.set_ylabel(r\"Mean $\\langle Z_0 Z_i \\rangle$\", fontsize=11)\n", - "ax2.set_title(\"Average fidelity\", fontsize=13)\n", - "y_range = max(means) - min(means) if max(means) != min(means) else 0.01\n", - "ax2.set_ylim(min(means) - y_range * 0.2, max(means) + y_range * 0.15)\n", - "for bar, val in zip(bars, means):\n", - " ax2.text(\n", - " bar.get_x() + bar.get_width() / 2,\n", - " bar.get_height() + y_range * 0.05,\n", - " f\"{val:.4f}\",\n", - " ha=\"center\",\n", - " va=\"bottom\",\n", - " fontsize=10,\n", - " fontweight=\"bold\",\n", - " )\n", - "ax2.set_xticks(x_bar)\n", - "ax2.set_xticklabels(labels, fontsize=9, rotation=15)\n", - "ax2.grid(axis=\"y\", linestyle=\"--\", alpha=0.5)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "07269bc6-bc94-45b6-92e8-3bec711c02cc", - "metadata": {}, - "source": [ - "`StarPreRouting` produces a circuit that is substantially shallower than the best SABRE result on this problem, which is the immediate cause of the fidelity gain: less depth means less decoherence, and far fewer two-qubit gates means fewer error events.\n", - "\n", - "The takeaway is *not* that `StarPreRouting` is \"better than SABRE\" in general. It works here only because the circuit is known to be a single star and the backend has a linear path of the required length. SABRE remains the right default for arbitrary circuits. When you can identify a special structure in your circuit (star, brickwork, layers of disjoint two-qubit gates, and so on), it is worth searching Qiskit's pass library for a specialized pre-pass; the win can be dramatic." + "- Among SABRE heuristics, `decay` and `lookahead` are substantially better than `basic` for non-trivial circuits. Prefer one of the two for production workloads.\n", + "- The best SABRE heuristic depends on your circuit and hardware. Testing multiple heuristics with multiple seeds is the most reliable strategy.\n", + "- If you want to explore even more layouts, increase `swap_trials` (and `layout_trials` when you are not pinning a custom routing pass) rather than fanning the work out to remote nodes. The SABRE passes already parallelize trials across local threads, and the per-trial work is small enough that distribution overhead typically dominates any speedup.\n", + "- When the circuit has a known special structure, applying a structure-aware pass like `StarPreRouting` before SABRE can deliver an order-of-magnitude improvement that no amount of SABRE tuning will match. This is not a replacement for SABRE: `StarPreRouting` only helps when the circuit actually contains star sub-circuits and the backend has a long enough linear path. It is worth checking the pass library for matches whenever you know your circuit's shape." ] }, { diff --git a/public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/0280b0b9-6320-43e5-8396-f82f9e718319-0.avif b/public/docs/images/tutorials/transpilation-optimizations-with-sabre/extracted-outputs/0280b0b9-6320-43e5-8396-f82f9e718319-0.avif index 9868be4f65dcb87a16a2d0f4e9edc469bf158af5..7a5d845b496bf317a37a24099fd98276132fefb8 100644 GIT binary patch delta 30425 zcmV(sK<&T%p8@Xf0g!hTb&UW500000cOd`)000000000@k&9yiW|8loe|6$*WMOm? z0165jYAY|Nf&v;12r~QX0Zf1b^uB)iO38JwET$r)@g<@qfBmA_YJ|iepSwThlFVcYM&k{O%bYGw1!!G+V==QCwfOzh%p${bCDV;=SCq-o`EvWF>vOH!bj! zd03_DF|>h&$@rxa9T`jifBNxuP(yk9ZWcli!2?v2b(!6ABod$JQHo!yY0#JN+eeibS5TSo z(KW$)^nuAe*>6tZN$CiUb3AJf&9Z|=ZA=j#o7k(0Fap~zUk}pM;(IFR9Riu zW9kJral04fT%?zJf3Rak8*lDZ_gy5pc^)a$z>`&BD(ru$hgem?Z}a+(Ng8?|AtA;Z z$PM*gFJIMHMy)xXUtS=WVkHd}U*1Hi?k}#I5BagEB=s*rXXY2G3wQL;zI2F8;|V~# 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Yqmg~R2gt0+BoY7$2N^18Oq2FVLVdOYl>h($ From cc3acc7d197ddff0e64609bc4a9b9d28ca1e33e1 Mon Sep 17 00:00:00 2001 From: Henry Zou Date: Tue, 12 May 2026 18:25:58 -0400 Subject: [PATCH 30/30] Revert to standard backend selection --- ...transpilation-optimizations-with-sabre.ipynb | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb index c9f37598fb7..62ff351c888 100644 --- a/docs/tutorials/transpilation-optimizations-with-sabre.ipynb +++ b/docs/tutorials/transpilation-optimizations-with-sabre.ipynb @@ -66,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "6d93c123-b92e-434d-8361-8115509e6d5f", "metadata": {}, "outputs": [ @@ -100,14 +100,13 @@ "\n", "seed = 42\n", "\n", - "# service = QiskitRuntimeService(\n", - "# channel=\"ibm_cloud\",\n", - "# token=\"\", # Replace with your actual API token\n", - "# instance=\"\", # Replace with your instance name if needed\n", - "# )\n", - "# backend = service.least_busy(operational=True, simulator=False)\n", - "service = QiskitRuntimeService()\n", - "backend = service.backend(\"ibm_kingston\")\n", + "service = QiskitRuntimeService(\n", + " channel=\"ibm_cloud\",\n", + " token=\"\", # Replace with your actual API token\n", + " instance=\"\", # Replace with your instance name if needed\n", + ")\n", + "backend = service.least_busy(operational=True, simulator=False)\n", + "\n", "\n", "print(f\"Using backend: {backend.name}\")" ]