unifashionLLM.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **Unifashion LLM - llava-v1.5-7b**\n",
        "\n",
        "The notebook consists of steps taken to load mulitmodal llava model from hugging face and finetuning it with LoRA (Low-rank adaptation) adapter of unifashion LLM.\n",
        "\n",
        "Llava Model - https://huggingface.co/liuhaotian/llava-v1.5-7b\n",
        "\n",
        "Lora Adapter - https://huggingface.co/UniFashion/UniFashion/tree/main\n",
        "\n",
        "We have levaraged 4 bit quantization in this notebook, due to CUDA limits. Your metrics and outcomes could differ by leveraging different configs."
      ],
      "metadata": {
        "id": "g_YbPriKm7q6"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Installing dependencies**"
      ],
      "metadata": {
        "id": "iaNgqaTnn0fC"
      }
    },
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        },
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        "outputId": "ec23ed61-c2e9-4977-ce39-ac2dcf625539"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (1.2.1)\n",
            "Collecting bitsandbytes\n",
            "  Downloading bitsandbytes-0.45.0-py3-none-manylinux_2_24_x86_64.whl.metadata (2.9 kB)\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.47.1)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (11.1.0)\n",
            "Requirement already satisfied: numpy<3.0.0,>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.26.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (24.2)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0.2)\n",
            "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.5.1+cu121)\n",
            "Requirement already satisfied: huggingface-hub>=0.21.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.27.1)\n",
            "Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.5.1)\n",
            "Requirement already satisfied: typing_extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from bitsandbytes) (4.12.2)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.16.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2024.11.6)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.32.3)\n",
            "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.21.0)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.67.1)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.21.0->accelerate) (2024.10.0)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.4.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.5)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=1.10.0->accelerate) (1.3.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.12.14)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (3.0.2)\n",
            "Downloading bitsandbytes-0.45.0-py3-none-manylinux_2_24_x86_64.whl (69.1 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m69.1/69.1 MB\u001b[0m \u001b[31m11.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: bitsandbytes\n",
            "Successfully installed bitsandbytes-0.45.0\n"
          ]
        }
      ],
      "source": [
        "!pip install accelerate bitsandbytes transformers Pillow"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Downloading the model files from huggingface**"
      ],
      "metadata": {
        "id": "KlyP00Unn4vv"
      }
    },
    {
      "cell_type": "code",
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        "from huggingface_hub import snapshot_download\n",
        "snapshot_download(repo_id=\"llava-hf/llava-1.5-7b-hf\", local_dir=\"/content/llava-hf\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
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        "outputId": "e6a30edf-8d17-41a5-f717-026dbf8baa64"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
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          "data": {
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              "'/content/llava-hf'"
            ],
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              "type": "string"
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          },
          "metadata": {},
          "execution_count": 2
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      ]
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    {
      "cell_type": "markdown",
      "source": [
        "**Loading the model with appropriate quantization configs and processor**"
      ],
      "metadata": {
        "id": "9IaGgmVkn-TJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Import required modules\n",
        "from transformers import AutoProcessor, LlavaForConditionalGeneration, BitsAndBytesConfig\n",
        "\n",
        "# Define the quantization configuration for 4-bit loading\n",
        "quantization_config = BitsAndBytesConfig(load_in_4bit=True)\n",
        "\n",
        "# The below code has better accuracy but couldn't load lora parameters for the LLM since CUDA Limits were reached. Prefer to use this\n",
        "# quantization_config = BitsAndBytesConfig(load_in_8bit=True)\n",
        "\n",
        "# Load the model with 8-bit quantization\n",
        "model = LlavaForConditionalGeneration.from_pretrained(\n",
        "    \"/content/llava-hf\",  # Path to the local directory where the model is stored\n",
        "    local_files_only=True,\n",
        "    quantization_config=quantization_config\n",
        ")\n",
        "\n",
        "# Load the processor\n",
        "processor = AutoProcessor.from_pretrained(\n",
        "    \"/content/llava-hf\",\n",
        "    local_files_only=True\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136,
          "referenced_widgets": [
            "fc12c45426b54b6598209956679b2cbf",
            "2292a1d0ab8d45bbb97c33b420a902ef",
            "2c1edf3432b144a69468156152ca8fcd",
            "c0aa819e9a8e448d892d7995a3ccf99f",
            "90c2319aa59c412693233c0cf59bb965",
            "ca5921b0fd9741d4b0ed6500ab920ee2",
            "f17377a80cb2426898191415ea4295f9",
            "1e06b87710e1432b9f5595dc02c25bf1",
            "6ad921edb1414406a0ec22827a6ddfa1",
            "e4d7b7f91e644bdb887881339e156e0e",
            "352aed336aaa4c3498eb6a0ca4774712",
            "21180711e09440628deabff5d4d2d7da",
            "57f5042843f44c398668a3dd81f73006",
            "d8b5b42a89744d4c8b3ecf5ba96f2eda",
            "ec95b9ea668e4bb58ebd93b8d426df04",
            "d82be3539caa4cea8e9470cafc90c622",
            "db64cf554ad14b03a1aa231500360b9b",
            "7ecaf44fbfa94562998b73cea5bad7c5",
            "f1c5bd97c56648c18f55647aacc52d0d",
            "450c12e093db4585b59ea20064221406",
            "ceff9961bfdf47df863e7b3178b13f8b",
            "0a7787e5d1d646ccbc39f02265f28a17"
          ]
        },
        "id": "xZBUKFUqWiTC",
        "outputId": "7aad0657-7b12-46e9-ed2c-630b0143bfae"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "0it [00:00, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "fc12c45426b54b6598209956679b2cbf"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "`low_cpu_mem_usage` was None, now default to True since model is quantized.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "21180711e09440628deabff5d4d2d7da"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Sample Image Test for checking base model**"
      ],
      "metadata": {
        "id": "g3cZ1xUXoJie"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from PIL import Image\n",
        "import requests\n",
        "\n",
        "image_url = \"https://www.wildnatureimages.com/images/960/130726-063-Denali-National-Park.webp\"  # Replace with your image URL\n",
        "image = Image.open(requests.get(image_url, stream=True).raw)\n",
        "prompt = \"Describe the image.\""
      ],
      "metadata": {
        "id": "TevYsFBvWscU"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Prepare the input\n",
        "full_prompt = f\"USER: <image>\\n{prompt} ASSISTANT:\"\n",
        "inputs = processor(text=full_prompt, images=image, return_tensors=\"pt\").to(\"cuda\")\n",
        "\n",
        "# Generate the response\n",
        "generate_ids = model.generate(**inputs, max_new_tokens=50)\n",
        "response = processor.batch_decode(generate_ids, skip_special_tokens=True)[0].split(\"ASSISTANT:\")[1]"
      ],
      "metadata": {
        "id": "DYNOdF_NYVc3"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(response)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OwA-0DsWYbuG",
        "outputId": "baf4373b-16bf-462b-f3e8-fe7fffbcf5b4"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " The image features a beautiful mountain landscape with a majestic mountain in the background. The mountain is covered in snow, and its peak is visible above the surrounding area. The scene is set against a backdrop of a clear blue sky.\n",
            "\n",
            "In\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Dependency for adapter**"
      ],
      "metadata": {
        "id": "IEtFeJbBoPf7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install peft"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "m6Lq23f7Yw9J",
        "outputId": "e3a11275-a47b-4a0a-f918-750263047df4"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: peft in /usr/local/lib/python3.10/dist-packages (0.14.0)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from peft) (1.26.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from peft) (24.2)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from peft) (5.9.5)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from peft) (6.0.2)\n",
            "Requirement already satisfied: torch>=1.13.0 in /usr/local/lib/python3.10/dist-packages (from peft) (2.5.1+cu121)\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (from peft) (4.47.1)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from peft) (4.67.1)\n",
            "Requirement already satisfied: accelerate>=0.21.0 in /usr/local/lib/python3.10/dist-packages (from peft) (1.2.1)\n",
            "Requirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from peft) (0.5.1)\n",
            "Requirement already satisfied: huggingface-hub>=0.25.0 in /usr/local/lib/python3.10/dist-packages (from peft) (0.27.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.25.0->peft) (3.16.1)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.25.0->peft) (2024.10.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.25.0->peft) (2.32.3)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.25.0->peft) (4.12.2)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.13.0->peft) (3.4.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13.0->peft) (3.1.5)\n",
            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13.0->peft) (1.13.1)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=1.13.0->peft) (1.3.0)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers->peft) (2024.11.6)\n",
            "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.10/dist-packages (from transformers->peft) (0.21.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.13.0->peft) (3.0.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.25.0->peft) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.25.0->peft) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.25.0->peft) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.25.0->peft) (2024.12.14)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://huggingface.co/UniFashion/UniFashion"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JNacBx3FZ1Nz",
        "outputId": "d40b13f8-1038-4621-cff4-5a1ddcc04f81"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'UniFashion'...\n",
            "remote: Enumerating objects: 139, done.\u001b[K\n",
            "remote: Total 139 (delta 0), reused 0 (delta 0), pack-reused 139 (from 1)\u001b[K\n",
            "Receiving objects: 100% (139/139), 14.64 MiB | 11.67 MiB/s, done.\n",
            "Resolving deltas: 100% (10/10), done.\n",
            "warning: Clone succeeded, but checkout failed.\n",
            "You can inspect what was checked out with 'git status'\n",
            "and retry with 'git restore --source=HEAD :/'\n",
            "\n",
            "\n",
            "Exiting because of \"interrupt\" signal.\n",
            "^C\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Installed the MLLM_lora params that were required, terminated the above cell to not unnecessarily install other stuff in the repo.**"
      ],
      "metadata": {
        "id": "HUTRHYeUkd7g"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Installed the MLLM_lora params that were required, terminated the above cell to not unnecessarily install other stuff in the repo.\n",
        "from peft import PeftModel\n",
        "\n",
        "lora_model_path = \"/content/UniFashion/MLLM_lora\"  # Replace with the actual path to your LoRA model directory\n",
        "\n",
        "model = PeftModel.from_pretrained(model, lora_model_path)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QEKrmmiHZtio",
        "outputId": "2d8e0315-1f68-4529-861d-1d9e0e6bf9ba"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/peft/peft_model.py:599: UserWarning: Found missing adapter keys while loading the checkpoint: ['base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.lora_A.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.lora_B.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.lora_A.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.lora_B.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.lora_A.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.lora_B.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.lora_A.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.lora_B.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.lora_A.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.lora_B.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.lora_A.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.lora_B.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.lora_A.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.lora_B.default.weight', 'base_model.model.base_model.model.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.lora_A.default.weight', 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'base_model.model.base_model.model.language_model.model.layers.31.self_attn.o_proj.lora_A.default.weight', 'base_model.model.base_model.model.language_model.model.layers.31.self_attn.o_proj.lora_B.default.weight', 'base_model.model.base_model.model.language_model.model.layers.31.mlp.gate_proj.lora_A.default.weight', 'base_model.model.base_model.model.language_model.model.layers.31.mlp.gate_proj.lora_B.default.weight', 'base_model.model.base_model.model.language_model.model.layers.31.mlp.up_proj.lora_A.default.weight', 'base_model.model.base_model.model.language_model.model.layers.31.mlp.up_proj.lora_B.default.weight', 'base_model.model.base_model.model.language_model.model.layers.31.mlp.down_proj.lora_A.default.weight', 'base_model.model.base_model.model.language_model.model.layers.31.mlp.down_proj.lora_B.default.weight']\n",
            "  warnings.warn(f\"Found missing adapter keys while loading the checkpoint: {missing_keys}\")\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Testing on Fashion Examples**"
      ],
      "metadata": {
        "id": "zeP2HCyuh1w4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Shein Tshirt Example**"
      ],
      "metadata": {
        "id": "ZH2LJp7ik4_l"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "RsNTwGwrq2N-"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "image_url = \"https://img.ltwebstatic.com/images3_spmp/2024/11/11/c5/1731330376ae1198bc31586fb58acfa80f49917864.jpg\"  # Replace with your image URL\n",
        "image = Image.open(requests.get(image_url, stream=True).raw)\n",
        "prompt = \"Describe the fashion product in the image that is most prominently in focus, as a professional fashion expert. Dont explain other objects in image.  Provide an in-depth and detailed explanation of all visual features of the product, including its fabric, texture, color, pattern, silhouette, stitching, embellishments, and any other distinctive elements. Use precise fashion terminology and ensure the description captures the essence of the product's style and design. Avoid generalizations, and focus entirely on the key product at the center of attention.\""
      ],
      "metadata": {
        "id": "3e0tGeh6Zw8H"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Render the image\n",
        "plt.imshow(image)\n",
        "plt.axis(\"off\")\n",
        "plt.title(\"Fashion Product\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "id": "HkYTDGmRq0EN",
        "outputId": "00a083cf-27d8-4c17-9297-a613ed90a4ca"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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BKZByYaSgqaA5k7PSp8SYMuM4sh16dn3Pbrdj6Hs++K3v/aLY87JBKkjwCah1zmFTxqakiECEojblEUX0ckGlebrWz11+/YXvsG5XCOUl3qnzRdTjzRc0X7fu00Wl+EARwvxZv04q6L3UBV86bwXHZMmqYf7TBCSy/wn/RR1268WKoa9qRkX9dhyR98+oiuo+cBbvIkHFYaREP2b9jH3duUj86ifv881P3+RGPGO37RljSxNhUCVpYDsqUUcWjRKGQBeUIAXVaAtSPasKuRS0FJucQdmpMBRIWenHwllJnI6Fi76wG5VtLowKMQaaJjLsetp2SRMDJyfnBDJXFkvKMIAENruElsTFbkO/PedgveDs9j3C8pBn750RBW7dP+Hm9SsEEm1zQgxCUSU2gTz+Ds/du8ObvuoNvOnNb6JbHNCf3SFK9u4uCIGhz2z7RFE4vdggTctYCssYaWOkHzMXQ0KPOr72m7+RdtESYmPgo4WcHJQUSsnklHxSJlucREESIQhaeqSEukwRghKIBA22uCoEjYQYibFBQpyJgMj0c5BA0zRIEEIQAyiJiDQQbQ7GABojQSJNbJGmoY0tTTDAItpCGZuGGAKNBOriGkKwee6AJQR7Lfh1BBtvWUBU0FJQtUU1lwwZUimknMklk3MmJWUcR1KfGcaBfjSAMpDa8XLay0+LqR2m4p1deZSv/XVyTOijRKlgo3VW2zwSe1iKIvhNi04dIyogAXEmVoFPZA8vpHakTtcj2LyXSrGkciD/SL0adTZIIKgxLMNDO2/gcpa8OvrVl8RXmoAgwa7hhSBasc6APRjIyP77dO9zxZmR+vd6DJmOFqQ1EFNjbNinUBFkwia7flS9XwpZhGcuBv6/v3Obr3v1VZ64vqZJgfbWBoZMLkrKha0oy6ZjHDLrRohtoN3ru6JKUWO72Z/cqIXzHNj0hd2Y2abCRVJ2GfpUjBkjSFC6LlBKIUQommmajl0/EkthEZQnr13hE8/fRXNhESI5DYzDliYGXvXINTZ94f7ZBSMKXcezt27z6I2rlJK5cnTA3ZNTxqSsly3/6mOfZLvd0nYNr3z1k2QplDz4sFSGfqQfEv2QIUaKGHheu3KD7fac9XLBZtyy6XuGckEMLbkUhnzhlgBoNqZQFLQMlJLIKZPLSNaEBJ8bIThTiYhEGml8kog/+RFEaaVDpEEkEoIBSGU3IgYUMTTEEJEY/fU4HVeCnStGoYTg722QpiHGlhAihAo69pkYAlECSkbE2dQ0dyJgv0/WSsk29oPNDy1m5RQtlJwh4eMpkUthTCPjmMlDYkyFPo0Mw8DQ9+z6Hf1283nhZr89AEjZfApUYLIbBJ1MHXUAUxFbJQBxo49grEbVDlQqsIVok8xNB3EWIoAU9RXJQU2KkwU3vxycgihB5tcqS9EglH0LsU7mPZYXJCCq5AphYpPbrSwUNctJdQJYDTN4GMAFghtpxb8LEDRMfVI0zCBVnDWJAY0Q/eLUWV9AJPj1VnNVUC0UsYm/z9psAWkQtWMr2ME1EgUgcnuj/OLv3uWVN1asFi2bYnRdgYwwZjjZDiyCsGgXDLmAZBZBkBhJpVB8UGYKoyq7LDxztmNTCkWF3aj0BXIxZgOZEAJd29AI7HKiaRtaCoucCAJXDlccRWEdAp/VgrQNh4uGUhJtjFw/7LhxdMDtu/e5tj7kYrPjyrXrfPpzn+P8InC4WjLsetJYONv0BAqr2PDJTz3Dat3RLQOPPXrI9t59NBfOzzb0FyMonG4uSAXapkOILBYLRITzizuUnIlFWQZhu70gdELW3lhULmgu5hooimLAlHMm55Fckk1qCbN5FhszmUNBY0dAEQ3EWEiiSBSCtvYMUQed2bUSRGgaA7AQgrkJ3OQLobH5FaCJZh6G0BBiS2waByWFCE10kKIhis9RX0hDMJeKwsSqoi+IohBFbIRrQNXN3JLNZVKUnNVYVErk7CCVEiklUioM48CuH9gNPX2/Y7t9ecnyLxukbLJQ6cFsF0mdxJXmGEgZ61JjXntmYiUKQX1ai7g9rex9ZDq2n9zPJ1OHXbbqzByaSmZcYlHiDMSBA6ZJPn+6nkRni8lBQCaE8/NKPR9uNlZzUcgwvV90j2FO56rn1YmRuvOCMPmqZPYzyOWLnPavc/Ccn0d9LIqvG37PUh8JInChgY/e3RLlgiwG0IWWYciEJpBjw1gK58PIGIQVQAtNyv78A0mVPhXOcuDW+cBmDCQRUlG2qaDut1RVQghEibQhUJKttMsoXIuBr7pxnU5h2QZurFe0XUsYeu5utuRSuHKwZlUGlgkWueUV11dkCZx0QlgIu6sHSAgsQuT8fMfZ+Yb7ZxeIromlcOXKASfHZ3zyE5/iqcf+CCIN2+GMbT9y+/4pNA0JuH3/lOtH1+nayObinLv37jOkPC1eu35LSjaZso4UtUlYcnI/IRScQWUzcVSda4r5kGKJZhqFQAmJSDbzLkTQiLSQNZBJZPIEDHVBjuKsqjKdINPiJeJsPgghBjMZQ4M0LSG2hCa6/8pItvmizJcVKwuXgC2MAu4JjiKXLBeZbSYf/2rsuhRKKXbvRRnTSBoTOakBVB4Yh8Q4Znb9QN+bmdfvdvT99iWQ5sXtAUDKJ30IDkLGbCqzqndTb8KhiCiRgJA1G2uQOjkNjVXUTT0mk0jV2IKhdrFJOXvJKwVyENLpnEWN8oI534VwyTdUgTbiA6YoScxR7kTJHow7qMz/4CZYBakKJRWYtV7BbASrm65Tz+ls/k1XItGYqYLEaIyxVOAHKNMHlGIrqpopKhXbVMn+PhE3HkUn0N1nYAQf/BrJIsgU0EhoCKg0bHaJK6uGpMIwZIasqAaWjdCEQClwMRRGIp872XKaIikrEpUhZ1SF4MC9iIE2RrQoHUoIykEL1xfC049cZZ0Tr3niJjFnKIWDruNb3vbVHJ+fWV/mgcPlkrZryFpoVy1tE9lcHekVDmJiux05Pd9RNNC2DcOYOdvsWHaB3d0tVw47zo7P2G52hGaFlgt2Y+LW6TlNt4Smpc/C6ekFj15fI2TaNrBcLdjePeFwsUQWK4axN0DXkZxGxnEglUSpY1pBJ0aRKVp80Q1ozmiOBk7uT2o00cSWGFtK8fHSCklHGroJ/BDryyiBGFtn3pmgkIIFjqLgjCuYL8tBqAkNNAGJNjfDZOo17svSiaFNBIRAkMbHnk5jcQJDn3FFzQeVS55Mv5wT/TAyjomSxZjUkBjGkZQyfT8aQO229Lst/W7D9ktt7sk0zSrDmVmL1BVbley+mpnNgFRAIjuRcAdd5R8yg41NMjWH8t55/ZldOnVlE+Lnmj4vM/JXUKF+TAwg7XM6AZI4i1JnRXsI4bcSnMzVz9jAUKnsrl6DTOeq3FErqtQHv9er1fE90bf63QdOKe7LCrayT2ae1gCA7JGz+fMOT9Mzs3L2viggqEaUDKEQQiSljIhB12bMbNPIjVVHr3gEURhTZqfCnc2OQQJDcrMEQTyyKoAEYREC5MyyazlcNhx1DQtVrq06Dhth6Hc88+xzXD86RFU52+y4ceWAo9jZitwPjONIbgcGLbCJLFedTTwpPHn9KpvljrYpnN895fT8nNg0nG923Lx+wKLtuH/vPu3rXoGmASQylsC2H+lTQRYdt56/R4wN168esuwE1UwMBuBd2xKCBQq2uy2L0JLLyJh6xmFHKtlASs3VYAEQi07b2LWxbVVAM0UDhYIE+12LUgoEd3iLBEJsSZpotEApVL+QBUim4WhPV5hesz43phVig8SGEBuIBlIiwe5Lovu5LMoaxN0lIeyBlFGuUhJgQeK9UeTDWMlayB7QyTm7H8od5qNaNM9BaxxHhn5k2O3ot1u22y2biw0XF2cvB3pePkhZBMujAH4zgeiTsSKvzyfMGW6g5CDmn7MbDf4Qy8TQ9kFDivV+dYZnKZcmnD2WQiHaSiDRGVgxZA8VDxQV8/IY0HgkDaNLWm0hp9UBrPProxf1UH61QYP7jJy5ycySxEEScc+UhhmkmEF84s/OjqxjC1JslQQlqA2s6fPqZmQ1JT3sUFfaoMayCkbBK9ULzk5tgTBKPwGYCKEYuBrmFVarjj71hNCwS8p5KqScKMsOSIwlczEqx30mqa3aTRBSHui6YGwrK4smsI6Bq+sDVjFASRy0DSFlxu3AyXYgooxDpk/ZJA1ZuX+6oQ2BVpRShF0/sh17hpQYSyFIYBAlBWHRtSSBiwHubHqGccd6vaBpI6dnG8LhASwjJ/fucn5yn+V6zWbbs+uV89MdWbfcPT7jsUdvsIgtq7alUGikIcZACMpq2XF7O7LdbYmNkujpxx3DuKOUuUhhmcZlcbeCP2Svy15UPRpmZl7SghYll0SjBhwxN5QygmaqR1qjLYITc5/mSqAOpAo60X1I5rOKLslx/5WbhHNE0AJGE0OqQajKLaqPc7JQbK4kNXFOUiWXQi4ZzRbpTKmQxkQaEsOQGdNAGpSUEkNvzvK+37HbbdluN5xfnHFycrmw4+drLx+kMKdtnJQ9BiGizhQccaNGn5iFXEFHZlYkKqh4iFYV0WITsPpS1P0qpTKx4ABQ7OHV66mrldS/M5uSVLMSLj3hfYZSKRIzwEwmU2WLUiNwFV8mQwrcHHV65q/UAfvSNbRf3KmztGA6LxVgy8TS6mtlj6dVf1SobLL+TZUq2Cil3q8BkoqzMMH7rXFWpTStkFJP0wjbfiATOBsKuRHKdjQTbrmgT4ngIY5AJoaGDBwuO0iJ5WJBo4V1E1lSyLuRMSeGzUAbhJKVnCEUgTLQhB1CQXNiSWAVG7quZbXouHZ4wKtf9QquXr3CarFkuVyyTQPn447TzQWb7YZRlfNhx0W/I6cdRSJ3Ti547vm7lHENr7nJarHk4nzLdjPQp0K3XLHsIm949St47vnb7A4PWS8brh1dZdjdYbk8hONzmrZB+oGUe1IOJB1IeSDngVzSpaduC0gN7Jj1QAnOeKYnSw2eqGb/cUETIjk0lOTHDpmxZFqcLftQqovLbGXUsRcm8IpiPqwYAk2I5vwOcQYfDzcRfCy736y6J+qGF9WPLFqmsZlFLXpXipu2hZKVNCppKKShMA6ZcRgY80ga7fdhSPR9z3a34WJ3wcXFKacnd7l39/kvPkd4EJ2Uo6hF0yCI3cA0iezOqM7gydyok1jYM7OKUWTv/Xpc1UCoTGTvyUzWcEWj6Vx7v8IMTPUFreea36dBkDKbbNXorFAxOQtl7xg6g4BFPwKoeLh2GncTI6vcyXwTzH/cG1rTNcbZXLN49l5/7r2tfnaOUFYOmmcWi2lppiHsA3p6vxQzS+cHBgRz/GYTNpaiDDW0nAspRrIqV1cLNsNAyhZyFg0sIrTRmGxUYSxG87fDyFkR0pgp2fq/A1Yh0ImwDA1Hq4ZrV9YcLBYcrg84XK+4cbTmiRvXuXK45uaTr2B1cJXDRx4hdg3ibPr84oSL/pRmEbk4PWEcBjbDls989rPcunePzW5g1cKd80i3iBwcrknjyPnZua32JXO6HUgIV6+u6drAwWrJyekxISixEe4fnzBmePb+MXF1gKAM49ZBqidnc6Dvm/Q2PmyzCrP83S/l3FuKawiDP0NhAqDR/UgpNeQ0kMJICC2hJI8Quwkp8+iZAKs++cqQxBhTjFVDZa9XKcH82j5I1bFf72iGv0utiq+z+95yMSBK2USc2X6uEb1x9IjebsN2e852t2GzueD8/ITj4zvcvvUsL6c9gE/KtM8hCBrN2ApmL0wMCWRyhEcN5ouSOrGFkitjMZAz00iIasdXGtCRanCXAFpcv7tXiF+ChyowIZ3GSOPXN2GLiBmbYj/LNHHdzi7mlA8aJ3V7IYMUUx9UW3yP4ambfZVvSdlndh7VDGYU2sLqjErSngPfwsHqws6gMxpmZzoqdcXEHexmHiCVp3m4IkBEzNHq5kaQAPV+QvbnEgxiNRL96lNRimQzbT2S1VD8mRlLlBgZBjhYtObLGQtIY38Tg/ghJVaLlt2wI4+JVEZUzNm7Xnasu8hhF3lkueLKcskj6yU3FksOF4HVouPw4IjV0RWuXL2KaOHa0SHL9QGHjz/J+tp1+pzolks2xydIzsTVioOlQCzERSSXgcX2nKOra44+81kudluW6wXNrfuEpjOmVxLSBm4d3yNpw5gSd+5ecLhe0jaR3e4CiYGzzRm5CGe7REHYbEfoMpqzTT7dmcQgmb+m+IIa1O5XRF0iohOxCiFQHQUaLNBRfOGNNGQyw7hBRIhNS5NHYumJJZKzmO4J02lJCHY+icTKiGr03OgbKiYtSaK0wbSKTbXjwgxckflzGpKPzTL5OUWiL7hCVgX3Y4mqiVaTRTdzGskezStZ/ffMOBqj2g0bdsOW7XY3A9T9u9y9/TzPf+4zLwt7HqjGeUXWWIqh7yUKUR8FU6i+qlF9Grut69NpcsfMNEdg8tTV0P38eX9P7fDp95mj+PI0mW17R608xHVa9W7C3u9MzOmFd/1SfWDNTc0XmXY6Dxpmc06olz6bnzol/9TBMUfl6ntV5357UatMqV6d2irui+P0mTBpIWwhsW42x3BQncAqq5BTJsaGPinkwkWELisxRqQoTYwMObMbM6tmgWhhESAuGtoQWERjTIsYuLpqOFi03Fh2HHQdNw7XPHXjMZaLJZoyy/WK1ZUrrK8cEYFUMn0APb3Drj8joSRVOok0TSDLyDBuCK2wWLX0AxweHZK6gUcevc7ivIFS6NoFz965z+HBmrPTc47PN6yXR+zGwqufusntO/cpJdAt1pxsdqAjbYRuecCdeyfkpkWaQNKRIgnyQFFTlavm+ZnZeuohobTHUA0ACjXVKbs16EaiL7KaMyW7X2loaZoFTRxpoumuSjExs5mI8wjQPesiTL6l+fSTZVMzRSSAxFk9Li/k9VWiY8eNHsDKldkrnnOTjBgUJSfTjJm6PJE8kjfmgTGN9OOOftjR9xu2uzPOL044PbnPvbu3uPXsM9x+bt4I4wu1BwMpqRNeKRKcLSlExVTVs/0tqlh0Yr/NoKYBShGLuk+AVK0edQKtrlWS6dyTSbcXPXxxV1fAq7r42Sisnw8hUpIzokncaZGOUsqLLLOX6odLr/k/M2AC0Wi+WcWXDyhSgwizxsvCv7VVcNMJrERkdozrHmj5ADXqWd17ZYI+41/ZmWExpkMgFwPA4g+hEAha6EJjrFcFQmHIidg2Zg6J0hAYC56uNBBK4LBtaESJAssIbSiERpCgjDkzlMJBE9nkgdvbM662DetVy64M6PaUrANFCimN6Lmy7iJtt0a6JTEKMSoiheW6I0Ro244QI6tVZ2CwbLnOdTKJ11w94uS3fpdHb1ylCUKz6Ojvn3Pv5IzlcsHYJ3aDcnyxBR155c2bfPpTn+TGjWvmqmkCu6SMJXPl6gHKyDjuoGSyFn8m6gEHW5FrnqogBI2IuJ9Kwaa+BZlw32CgGgdC0QSDumK8oW0XxNgQpKVts0UNi8k4VI0Bi9Tnvj/HxM29msqCW/0VpKpZkKehWM1V00zVhazG8dyQdSuiFKWkghSzisYxkVImpdEc5fXn3DOkgSHt6HsTcG62G84vTrl//w63n3+WW88+R98PLz3BXtBevrnneqcwOdRcbBjsIUAN+GfvmEDMMoX0heogV/MJlb0oSI20ifqEdmjROeQZnKlNTf3R+2WoBIrLGlCdVgQ7ppovKmDXXUWYoqQyOsCUmWlJDQ862MJsrpUZNKskwGxIw4ii2diRCuogUAGqhuud0003YtdckNAwb1xZTcUXRCGlflod/WqeVxV/7puEVVhZZudt1XAEW1tEg4F1UJpgfysIKRmYheiBkQBRlNAIvWZihDWBoxYOFsJBE2kLBCk0jWmz2rZxEWPkpN+xy5lFJ9zenrM4vksThS6Y6dJ2Dbs80HUNq1XLI9ePWC4PkGBbgK0aOFi3FDnk6tUDp6SRpl1aH5eeg8MD+n5Lycpy0XCwXHHt6jU2m57VcklszjhYdFz0hXvnFxyWQoxwctEzaGCbMmenZ9w5vWCrHbFpObq6YMw7xjRMfVv9oVRnorpLQsS5sU4m8eSQlupPNH+DJVx7foKYgj0MLU3c0bZbYmiJoSOnBZpHStOYZTKBHlDnVJ2jwdEPJSIWxAo2LwLWz5CngHVxyYpPvcnMs9T4NM1BO5WYwlxND2bizcJYEkNOpJJJOpKKOc3H7LKDfke/vWC7OeX85D737jzH7ec+x+5iQ/XhfbH2ACAll6JI5hTXGamZvypn0ApoUF+ZUD1gqRSzqWjMIWjtftypNzuW3Q88OR7nGMfEwZhedUxTXsx8bIB5DOyS8GqP1l1yzGu9oZku4wNush6rr2o+ycQ8ta5qMlnI+2oEux95wXXatVVf5uwJqwLV6ugMe/RtvpUKU1XqMV2vOnulgJizPKAsYmTZRvrRqy0ELB9LcFFgpIkgZeTGuuP++UDTNlxfRdat0Ap0EmhiJOeESKSJgRyMkcSm5SL13O8zIhd0bQsxMmYlhsjResk2JcaceeTqmke2PYfrc9pFx9FqydDA6uAqgok/RYspqbVMJk3TtKxWa05OTji6eujh/sztu/foi4BE7pxs2PaZZbcgxJaD9Yrf+dSnuXrlkKHA6dmWTMPz989YHC5p15ExDy40rtHc4GDhPNUDSFL2Ms0pPpxqNHm2BDRjgQB3dIubVkkSw2Cq7K5donFw8ehIaBpP8o/GqKZ5NYuhq9kXEGLVxe0l/GsdKH4Pdb4EHzfOl6bxo3uRYsV0UUkzY0lkNTM0q0X6LPVlNMlKyqRhYOy39LsLNhcnFs278xx3n3+Ws/unXq3jhdVGXro9gLlXB4MxkGkCwZ5JVm9eJ+tGPH5mj02cxQghNOYPQSz3Lwix4FjvrioRoyd1Qu47ZWQ2DUMdFOZxdoDDgaXxB6fGbvw5FQqZmWEEjRRx8eQePMkLEqqZAIIpAmmExwAgeLJnUQNcdYlGXZEKellLQ5gArfaj9ypT4jHGeESNHSm1r8vcF35jk8xg6vn6fb/VCKoFCxqEdbsgRIUS6FOxpxCVQmQYlYOFDdhluyAl8690XWARhFWIdFFoxMvPBKFpbGhllM0wUNz2XTUdSMOgkMbCkJVBB7TrODnruRh6NkPh3v0tj904ZL1uWDbXaJZLmgYO3NkdQwOqpGFHs1hQitI0LSKRISW61QrRwGp9wGLbc+vWHcZRuXdyTtscgHR85rk7PPX4Y5z3ieVgeXepLEmaKWw4OlxBEFNWkx3s93uzoKTJr6nFoaguWGWfXZUppcXALbpG16NtXlXAEqt7hn5LGztCXiF5JCSrkGCHF1/o/MiSiLReVSEizptQyyioCciIBW3Mz1TQ4D4o1xkWigWq6v0oZIWsmTFnRi2MmhhLmiJ4pqivFQ9MuDmOI8PY0w9bdpszzs/uce/u89y+9Sz3b91Bx0mo83mw5nJ7gFItM2OpHMOnsQOCI3SZzaOJo9SJBrOg09mDCQ4tymXARP3HHhw+3czhNbOPF4BGqKBE1dA5zaaain6tmP9g7p/ZAAP2mAsUD9mHGtGT2UzTia5hZMbsUr+c6hy1I1eTcYoQSrjUi9Waq6bqzPJmsGQvGFD7wsKAlSXtKdsrhccSvWvNhNoithCYVWu1iMaUzH9GIOVEjEKqicIi5kDJZgTsxgwhsGgXiI60wQZ5VS6Lm8spjcTY0saG3bZnuWzJOXGWlWdOtiy6huVqwcm2Z9CGi82O2DWcbEdYBW6fXPCYdDTlkEcPDzhYdWgeQTsgUlKZfXTA2A+cnZ5zdrHl2edv89ijj3Hv+ISz7YCGyMG64/Ri4GSzY7Mb6DOcbXpEAjk0PHvnPk274t7ZObGNvP2tb+Fjd34PYkbCrEObxr7WxHomdlzZcs0VlWILp/o4rxKQacFXd534qptLZhx39GNDHBpC2yEpEkehiR1NLO6fckeBiFkkdfzlgkRnRLIf795rVdvoU624eTLPC3GAw9XlTOLNKT+xKCUpaciWqzcm0phmh7k7yy8uTjg+vsvx/Tsc37lDv9mhWonLC67r87QHMPf2blfEKOc092fbRYIN0LqyV/AoCg3B1iMpFBeThTrhxECqYCZItesuRdMqfd67ruB0Vz3KUaX+k+ggzBS2KtkrKlhSr0zXWqNr9vRqeo/9WsR8B5POCBD3B6mvTDNgWEi6puIZMJsY1jQvOELUz9l3LTZwo0BxTVmpf58sWwcw77N9ejknWHvYoQpe8YmiNfIpntFubDAxsEnJwbWwaFo0KjoWGrHM+T7DYWcVCkQiJQn3zy9YXl9zmjMrMm0MviAkBOiaQEY5iJGyjoylsE3KnU3P8W7kWtsybjdoKWz7npOLnmWGEgtXOqEtDa+4+jivf/xJnnjkBnEZfTyZfzGppfS4bcp2s2Gz3ZJGJUrLYnnAc8/fIixWnJ5vWS3M3/bcnbuotAyjcr4b0KQ8d+sexI6LITOOyh95+1fzmqee4F8999vQZPOe7OWLmk+8+kxr7mcFTJ09gxLnhauIs2BxP2H2cEYN9vtnS2YYemLcEJsOiZbW0jULmjhYATqaOiH2nOcFKYWpGoyaM17VVe+lmLvCxwNa81P95715q64qL1pMAzWaUzyNiZIKuSrM/feUMmnMpHGk7zfstudszk85PbnP/ft3uHv7Dmcnp36Hdf58ic09DV7gSiLz1NgPmdcTu+nCHtcScdPHVpCk9hBDCGgue59UE3NKLVniFTR1Nq3qTYqaI3dKl6mMqtqBwc3SmqpQw67K5Wurg27Cr+oDs0iXiLhuqNZbnCe7JXeajuRyd8t0pJqMbcTaASYWQpmZUjVN1S9O9/pwFtjNvr2qdJ97aa9npDpTZ328Sp0ITM8DIqJKCIW+yJSjF0SRlCilBrnFi5hBXi5I44hoRLMinbGgrhEWh83kp4mhVk0NaFYaDyyJBDbbxDiMHK072jZCzsRQyENPxBzwjRZi6nnlIzd4xbUrHCw6ggTWq0MkBnIeGHOC0DCOhUxm148cn27ZjIW4XHN4mHn2uTv0g9KUgeVyxTPP3uXmI4+gCNtRaduOk5NzHr12jTEnnr93SmiX6JD4wLvfybmMUIqZTLXfNExMX72/LzERbMCW6uuU+QlFqbXSxJ3gtjAHKXss3d6bsxWJa4YtEi3lpQmNK8itkJ1TNmrNtVq9Vfe+mz6rkLPNEfE0HGN1TAHIygtQyz/MGEhpVpMZZEtxydm+7GeTSJg/KpPywDBs6fstm+05Z+fH3Lt/mzt3bnH/7l3ykIy5T3RnTi36Qu2BJAgTnfKZJNMDkL0J9AISN5ERh5PqMb6kfJ4v20xAN6mmlYk9BuMMbHLk4+xqLnynbkbauSu99u81KBmCCSTZn9D7vMSvqppuCDWKOelSgjE1KZ67uO830+nRXzrmhDkVdC8piauGpUbipq72lVbYE6FRU2fqANszCKdrVanPqgK5TwY1iItB0MYqCJj6vNBjuYSNBAeFxKqJDFnpozHEi3FkkzLaNag03Dof0FXkahunlKlS1BJeHaAkBBax8MSVA3JUmq7j7Hw0Ztd1dJp4tBMOFgve/vpX8favfh2PPnKdLhba5YIxZZZtS6Gzmkmxpaiy9SqgObbcOjlnMyS6EOi6FRe7LVevXGMx9khpObm4YLFccevWCVeODhFPpN32idPtSNtn3vW1T/PoQUfuE4LVSLJHZRNrSlfSKsqt4LKX4uRuj+IAhBjRtsfrPk6Ns3thbzGa2HtODOPWak2JVRSJRKK0DljRfFxevK5oND9vKZCtukUA+4xPuawVIMukaVQxpq+abXQUExZnlxykmp832tc4JoZxYEwWyRvSyDj2Xt3ggt32gvOzU+7fu8OdO89z7/Yd+k3PHJiqc2QvWv8F2ssHqdIQGwFNruupmhxPXFUDgBq+mtiD4tUvncm4qRLcbtfq78AqmyqBkgs1rqBGiYyJTQSbipCAOaijR0pqP4hf2awz2ru2YiHay0oidWUtZlJNKTt75pTDVeuq3UzxUhvVDGBaklRrukrx0iiCeB1r1Tz53+p91ftHal/NA35yZDpQBep9Vmq+b/nZ4Dfkm6UWUpnaZG5Y5K6TwLpbcHfYkYs5zEOopjNW913FalX3Vno3A+eDTda+FDRlYhPZ5EDXBCjQiJkYbTBa27QtF9uB9aLjIHZIY2zwxs1rqGbSkHniFTd4zeOP0UXlDa9+nNe+7nUsDtdoGlBG2kVLRimhdf9boE+J482Wk/NTttuBi0G5c2/D8fEJb3z1q2nbht/++KdpRFgt19w9PUFJrNcdn7t9h8duXOX5kxN2qbAbBm5eP+KPv+PNdJJYBEU0k0rxMWgstea3KV71AC+F4nXfc8nUyG+RMqWdZK/+EcT8oqI11zVWqllXajt+yZYmMwZGgV4aoixoY0uKVoA+spgU5Vq/glsBTUvAhHrRJUOTdlqtkgEoITQ+NvZEwJ7qUs24YUikURnHwjgMDOOOIVvZmt2wszIs2w3jZsvu/JTj+3e4e+cW9+/cZXOyg9x4pLHmI+qlufWF2gP7pPbBAZ8TE/pPIbW98P20UlRK4CHTPX41JU1W/9T+eaq/KFRjaeIcM/vCr4G9SVjJ88REmCJlVW9Vw7Zmgfl2DLof3L18//PPCmEvZ06h2veX+V5lhuKupPoOB8eJRTp78j9PTta9+8RBZvIxTTc139t8icbjayVTmy0elZIK3HbcBrjSCEPXcLxL0zMsCGOZHfgxRoZcyAMkAurlP4pAaBs2Q6aThi4qEpWDtmHZtaSS6XxHh9WqISUhl5G2a2miOYPPLnY8fvMGT12/ylOPHvHIjRscXr1CblZ0Vx9jsVyQxg1p2JDGgbZpSSWx243cvn/O8cWW2/dPuX3fneRtx3ESfve523zVE4+yWqw4OT1juSq0TYeWAc2FYUzcO93QdQt2w5aGxDd/7VfzxI0rtFGdZSlZc10z3MIqkzlen0spxV0TVaBrq3ZUIIMGndnsRJ1nH2at4ilSN9lQM5fVNgdJOTGmHcO4YRga+hgpQWhjQHLwKgeBUCKSEjHqJOpFMqgnGqP4uuH3ARahtPvLamlWVrAukbIFVYw9jV5+xb+8FPA4bNn1Z/TDGecXx9w7vs3du89y79Ytzu6fk4c9s8489TxIe/k+KZ0tGtN31EqBVcVarR3dm1wW2ZqU48GKopWACRuLzpOZmfLucxc7dnVMBqrjfGKO1QnpZw7zTJ2Qokb36uYL2dEh4A5FjNnVWIh5n/wzkwm3Z17WvzpTCVqvMkyAYjV5ynT+PQOWKUS9d5tTuk/1ndnhjQ8Kk59Ower4+L3XlW/f0qzOeHHWOhmdk2xkXhiEQKOBK21kN4xsSgV3K7RjFSoLQ4Jl21q5EQpRlKFkytCQ84hkJZaRKIF22bFUK4gXQkPOStuaKdKEwKINHB0c0IoSu0POzwauH17jsZuP0auyOLzK4ug6JXZsdz10a1ZXHoPdOU0u7PoNqQxscyIsj7g43vLxz97iueNTikY2uy1939M1kdy0nO/ucz4OtLuBzdbU5n1SDg8OSQqbvqekHd/81tfxlldcZ7WIoCOxlv6p+XhMy9u0SMyB21qYyB6/Fclj8k0FDW7ehMkBP+fcYfXGa5mVehyJznrFTLA8MIxbtrFFYmQRAyUKgWIFAASKBHKdR2pWQgmBUqzaQStqbD57fqZdrLMri7yXouSkpKQm0kye9pJ2Xre8dx2UA9Wwo+/PudiccHJyh/u3b3Pvuec4v3dC3mUigaR5Yv5lcue8vPayQaqo1W8y3aqaJqNU3Y4BEKqI5Gq8ECWa45HqDPeLU5kjg8EeQC3kZgBwGbzMV1JZi06h22rjqNTKLjoXvhfvE7HoR61ppWK1qX1omfTBzUoRc7wXBz0Dk6pir4OPaQBM1GVCpn0KKx5AMU3M/D67z6q/2pdqVJCHfebmfxVnXJW97T2bfXGpRZqqI3YW4HrnUZ11tcpn8BW9o3DYdfTbnuQu4Cgu4YiBBGzzyEICRYUxKYl5EsYSON0OtG3HlXWAtmE7jnREYojkpKgGd6pHxl0idBHJhavrQ7oQ2e62XDm8wsVuQzeuSV5ytx/vsdstCUEtZaQ5YHvWc/t0y/N373F2saM0SzbDMfdPTlgvl9y4cZUQ4M7Zhs04MBb49HN36Ufl+GxnGQo5c9GPnJ2d8vann+TP/Ml38+S1Na0AJdn2UhotKhyULJmCp72E6nj2dKPKwH1YTL4oX8C0WKoKWvacx7bshLrouz9SkMnfZAzJdHyo6dpSMX9QHFuaaKZgCIGSG4rszCqJC9uVphQkNmgQYjTgK560rz42NJgJL5oh11pRxcsBWy7ekAeGPFq6yzhant7YG0DtLtieX3B8fJ+7957j7u1nObl7Sr8dsFJMhSZ4iWQ3Kx8Eph6ofHA9bPEBH2Rvsjgg6KRknf1K4i/VFV0nO8X9KdVE0znlBKmAtCdynFJM9q5JcdOl7mHnZpIft6ZM1pBsjUDZJcx62n0GF53Z1ADcpQigVBY1FeG49HvRPZAiWB3ovQE7O8zxFXWvjy/Zly/of52vVPYfhs7m2+Sxqz6w/UNVv8UMidgEMTmJkFnFlitNw3EZpqoxBV8QUMgwRmHMydmoTGZjjBCbliQN5xrpCixDtOsJ0I8jSKQTM9uzwJBht7GidkkzJ2enhBjpdiuGW7eJseGJJ14B/cjnPvspJAS6bklsGs4uNtzd7fidTz/DxWbLMCZWqxUXm547d++zWjasDhY8e+u2lRLRhudOtizajovdSJ+V882GXDKvfvSQb/umt3JtoTSiSIzGrIP7CYvXLJ+yIQrkvcwLmML3qnXBnMemLXPRx32ZPmPjfq+cCibYlVhL/NYAjdhY8UUDrbWcyrTnX86Z7LXZVUdygbZpUDVSoRpnd4Ekd3UEW5yDLa5zvXLzq6VsLGocB4axZxh6hmEwk2/XM+56+u052/NTTo/vcf/u8+Yov3uPi/MLxlSgzHNidrfUefwlBql9H5EVrQvmFGReyeuwlmqP6axhQnAZfXU2yh57Yn4g+1ZQNUn8+LEaPFOI3T4fQrDNSYOFeKUODqmrlYCUSe2tzlgkWJgWKQakWakiu8mE2pMvVHCztc7K0agDYGVCIQTfzFQmxlQz4YG6UYwNvEtd68EEqkrdzQtDCYP7ycTzY00bhu4dqD4mqoRggtH6JiynL9pgDWp+9qhIziyawEFpOR8TuTjsVdNGgKAMxWuIqk29giJNwwhkabh1smW76LixXnC4iMSUGQZhOwwcrZckURh61t3SEpLXHSfnFxwerLl97wSaBbvthvVqSUqZbtnx3K073Ll7QrtccXDlCqMWPn3nFie7HbvdyDDsuNj2ViLm4IC+z5yGwsVuII0mKr19sqENPeuu5WJ3QU6Jp642/Nk/8Ud53aMrSANaFuZcLg1NjCwXDWyrPs6A3piIO9P3ksKNQTmbNnoF2GaqNfWlSgNECkQDCutcA6kgDSG01IqytTY5gclCqH5UdaCy7w5WIVJ0tEU7KTFaQEiCBXBK8Gq2IdBoQw4B26NLveKEq8enygaJcRwYHaRGN/P6Ycdmd8HZ+X1OT+9w//5z3LnzLPdu3+Xs+JRhSJQS3EqaQbwubDNh+OLtgdJirJNxx7czl8msNlMKMKV4lf+7FrFyq4nFTFFBpdY1D+KlLWrhtj2tSXVcVrCsnC2I+5IkzNdT/Toi1MqV1V+nAaRU883Mnax2L6VSMAcVY0JCntieX369z+BerL0NJERqGWI3hbQmUszXfSn9Ze9b9VRVwjWZgHt9DFDjC+LbgV1ighWPiriJW49rI6IKVM1cbdCQLQtfQCJElKVECsImJavCqG4WB2FMpniuSdgFRYMwlMTB+oBtPyAiXIxwcuuUG9cOOVy2DEOhlcjpkOhVaCgEKSwaRUpg2A02RopysRu4crjm6MoVPvvcs1w5OuL+/VOeuXufdt0j51b/adDCrTvH9LsdB+slYy4cHl4h9AOfee45rl69xsVuZ0r5/pTD1QFnmw30O66vI+//o2/nLa++wWufvEYTA7FrKSUTo6D+vY0tZNPE1QWkrsE2XJQa9Cm1n2V+JuIPTKfvaqLOaHqr/Wi1BAMomTZNqPXHg1vp7p/EhKB1o5JcstXaKpmg2TbDKLVgjy1++IIjQQ3tpFCkoDn43HKQKrYll/miEqk3mUE/7Bh2PX3fM/QDu+2Ws4sTjk/ucO/u89y69Qx37jzPyfEJfZ9mYKo6xWn027leVuVabw8AUjPyTWaEOwDtwVjBuEZN7Jn3rsHAwGQC6h04qtvbBdBMEqtlXllWxYuotlWUlSI2p1/cn9hu6skUwnU2FCrbYnJ8ToMmiG0DPQGVmyUTjXN/0jx+9kwnN4JUmHYPns5nIrxqctm5nVa7ySv4lqdiZoGpNsT9Dft+pBp5Ye+B+grqxe8IIMWfgc5DoJp7FeX2ifWsrgchTn0JFhqPwbZYX8ZAEzvO+56xeNUr96OVPb+XOe6Vrlua+liz7cuXlUXbcT4UtuOOLrY8/tRjPPfcs5yenvPqx28w5kQjLSkNhCAMu3OQSLNqONtccDMnTo5PuNhs2abCM8f3GI/v8/hTT0EKXGy25KLcePRRmtjw/PFnGNIpj1y7QcqB84sdJ+dnKMqy7ThcdZycnbLdbfiWd34Nb33VDR49XJJLZr1e+T50ZRojoWmQ0JAUWmf5e65x67biWqn6rJzdax0X/kyLmvZMItSihZPwMszhJpwpxWAR1ZpkP9Un98J3RX235NySciaEKrQMHiEUcq1ColU2IZS9Sq7ZrzNiguTs11NyIpeePA6UIZNHSxYed/Z9t9lyvjnj9Pgud289x63nn+Hu7ec5vXtKfzHa7s4Te6pO+ToumbRllxWEn789oLnnNlAV3dZJ6mFOofpp5hzrucKkV5F0p3kRN4Kk5pLtlRPBx4HaDiR4RBAfAFFBY8P+1uOXKhNMB8AHj1465vyzRbcEgVCQPAkX/E2WI0UJUHO3qKxGnUE5Y3RTQEQmIV+tuV49ELY9lw24ibXtXU/VdtlKLS96iBWsdNJ7zZ4nqex0Ynl7yFr7RX1oiA1MUUuanfLM8AkihaIJEasTtRkLfVE3VdVNXPtMEwIhBra7niY0qMnWbeOEomhfhZDn8CxoLjRtw2boraJnv+Pw4IAumDk4jCOha9GUaJ55Hg2B5++dWhmeruXs5IzDzZZc8B1xR37vU89wcLQmqUBSjk/OySVwdt6TcmQ7bpHQcOvOHZ68fsAbXvkq3vHGV3MYoZFIlIZGLEomxfRQlr4kxLhAxaopWGlre0Li5txsxjAnkks1t8PEWut76ngoe5/VaRnRuTR3HT/TV9hzq0ApiRJM8R1KIRcHlmwOcnPOZ5cgKlq8tLTaRrgKvrEpZJGpZrk5zhNj7knjQB4z/W7LsNuw2/Zst6ecX5xzcnqPu3duc+u557hz+5aZeJuMjrNZBzJVIZ36of4nXhDgZbSXD1I6T7r5pcp6vNiXh1drM1yp0TM3mZw1TOJMsSJe5r9xM85XpYytMpVBWUhefQ8+m9RVezKLG/1i67SrE7BW/PS3iQjJTUJgArwZVPYEkFIm2m4mZpjq9uAsTXW6YwOMS3kywQddoG47JeiUllBX4elDFUz2e3IyM3ywK7WWPnWHaPY+cakXtApEq5lr12BuU4to5rqKK7TBDNRBlFYDB20klEyfkzPkGlI3DVFS26k4pRERYbnoyLmwy1u6pqVpWxDhfNfTxUDTBHZZ2WwGyjjSJ2W9aOlTIqlQji/o2sgz90+Ji5bj8y2lCKf9liKBhBCicH58xmY7cLZJrI8OuXLlGs8/d4eNJI4vLjhYr8hj4trREZJ6Djv4pre9nre88lFWDQzjyPrqiq4NBtjFBI+iQlQhEpESaWOEkCjVvNa5r830rmOoBoIqyDjj1j13R3FfY84UyWip270VaumUGuSoASURG7+hOtfBfFxeJbMU90vVOk85UmUoASZfq4oLljFpUNF5jCVPILbt4tNU0aAferabDbutl1w5v8/p6X3u3bvHnVu3uX/3HhenZ+y2o9Ug84VY63z1e6vcqUbw59pYX7y9fJ1UcfNsD+WtjOqM8NUBbLl6uAljfiZF9+oyM+1Bn6eAd11LmMSPFig1ZXT0iaFu2qA1glUsv9RBZXJ2a5iSjau9Zujt9yOCiKUCFK+NM/l8Lk32iiR+3Z6GUFnZPkuay8rWSJ+jZ438+eOqEbEXWHEMmAPTyKpcWjlt7Or03soB6948Vv5XiTozpoItBtOkqlE68T4UEFUaDW5q+pZafuygpg7qYiAGZdU27FKhH30fORUGzRS1KFgbG7RAGo1JHSwXZMm0ETQLu2QO2aZZcn+T2PQjESVeW9Cp7dt7cnFBXixYpMLppieVwnp9yEU/UkLk2vXrXPQ9RweHDAl2Q+aJx27SDz2n5zuOTy9IKoRGrPTKmNhtznn6iSu8+4+8mVdeW/Po1UPOz09YrVbEIDS+o0opSoyt5bdJpJOW0+dOSZpZXLfNZM0wKPMY8QTeS6V9vXMnU8efY1GdclUbyT72InUHZNXOnuwk7JznVjUfQ61sUFe4ki0ty1NYcrDtpFTFNwL1uRFssS1VdLy/iYrvADOUkVxGSkrkYaTf9VzsNuw2Wy7OTzg9vc3x2T1O7t/j7p37nNw7YXN6QdoO6GipOBT3XyoT2GfxzAy3PlT3FvOX0R6o6N2Lf5f6VIxdVFage6aRR7gmBHnxkS/5f/CHMZldUv0tM7vQUFepWtvnBabNpbntv0zFB2SiuX46qlP8pYF9L0bm4eBL2iZmZjL9Af/mQBYckeb6U/s2pwOJD6Zqt+/f0JRuVJRQZMpxLc4wg8glEe+sVp8ewhRx3cMpF7DavRevzjBRdYUoTtdF6Zx1dm1DioGLvrBNVrpF/BnZSlrD3BbaGNJI25qIc0gZJHLRZ4a+p2kjTRO5f96zGwqpjLble7Ttk1JREsKyXXN6/w5H166yWB3x7Gc/w2p1hdAtObtzwo0QuXXnPkUCJQTyMHC0XNH3W1aLwJtffZNveNMreerqgnUMnJ+doKocHiyRPFLGTOisPpW0ggaFUugEHm+P+M3f/gRPHl2ltDs0f/58s9n94KOiBkjU7AIrWKjONjwgURIxN2ism42W6RmEGgyqJiaKFctrEDUXhGI1oEpJtqqPVW4AUbJH86IHvKrJwZyEjLpQtJC8omYaR8bdls3mnIuLc87Pzzk7u8/JyW1OTu5zdv+Ui9ML+s2OPGTTwGX1AqVSRz+Tv7paBirM/rhplnzR9gD1pOo2OHtGiJiJF5nTLCaEcLsqIDQSyb71dKVL+34icwjWKFixDWOoNxT2zunmIRC0eGn1ecLX6OMkUvP3W4oIU/oK0ydg1kDNmyrU3Lj9qEStolijePOpXQkuYQ+87PNm/tq5CtXM84zCSzTKfFrVOWt4UqUNddXETQWhqeYbtisI4DmB8/Cw15xaT9jpAYbg9+SJrqaP0cvZClPqkkVyPaFiMg+bxQLVfgL8kl3lHgNZM40Edv2OhLLrB45Wa3IaEAn0pVCkYdG0DOPILicGL+VLCOyyFWQbc2ZImYMxoRK52PYsNz3HpxfkT36Km4/d5ORixzO37nLv+NgWNBHaruVsu+XaMvCamwe86+2v57GrS3S0ci7Xrh7QNYEy7uiiwcA49ARRmtYSdVUiTSgcNQF9fmT7fGbxCvOezmbL/srItBD4sjVN0DnwMot9S7GqAoLSTY7kBBZjI0iH+Oa3tumnjeii2dmUTYusCTENCWZ+ZAeeQA4jEgMSGrOEFDfTmTZ3KEWna8njwG7cMow92/MzLi5OObs44+z0zEHqLpvzc3ZnO/qtAVRJilr2kC3n6ovqnv9pv5Mssb+mn32JQcrMLa07SWEamcbr7JhuxIwiQ/6iZl6JCKEWT3O/U3CaMfm3JvZqicR58p14pUfcWvfSvdEuwKUAM5tDZqc8rnAXDR49KYRiUTytrMSZkRQDiqkYHIpq40ZonpiBCRqKF8EL4Or6SZyKThgdgthqhZrkAQcWFebyMTMbs6OYyRklOjQAhNnx6lutl7lsgtn/1ZclTM7RWr1Bxep3qZu+wTtbREi9Io1Fnqb6Us5KRQSyJQpnLWSJnrdmQNtI4spSKDtl52ZQDJiGKJhsIyfr9yFETrc7gliicmwjm+05bdOw3fY0XSSWwjAkusWSMVsKiBbl+o0b3Ll3jz4rw+acInDn5JyzbU+7WrMbBp6/d4+shVW3YL1aE9vA7uyUr//qN/CaGwtCvyNvGyKZq1cP6Rqha8y8S2RCE8gFQtvZ/ReLTpWgXLt2RJsiF89uOHriGiNn7jrYM7pVyJN/1laEUhdH1amgo1X3rNCvUxZHVqUpBS2JrCOtdntO5dmt4aGKvdfE3ZVqFTLF81uLVZ0NEZcz2G7TBZnkN9WHVYqSR6tfNaYd235LP2y5OD/l/OyE89NTLs5O2Vyc0282DNsd/TB6RYRimQe1hr7UJbtMWRuWsztHm7O6dfWyIeqBont5wsU5amUdN5tzOk+YwKTQVTGovWTl6Be/yMl/5LS51kyfjiHM5tFkfipuxBhAEii1UL4dDao5opVJ2edNpzW/y47n+UzuXRPMnwZ44T6tEvzp/IbB/uB0r5+o2CIT85rYnIDHp90zVOZV2IsyFK8Zbmk9FXDsp0kYe0mazh5wVfe9PYfFYsnF2X1Yts7AbImxdwTvI51kB1AsTaRpGccBRVlK4PoqcrIr9Cm5b8+itaoFC5CpOWT7RLfoSEM/bUTdDwMahLFkQhH6YaArhSiBw4MVu6EnnG3JBI7PTkECRxooYrXRP/255xmT0rbCYrVCtFC2G24sDvj6t7yGV19d8NrHH0dQ2iAcrtc0UQihMOx6jo6OzKejhSZE5qXB/a6qvOqpm6CFfBxIp4Jcby3yGcysvhwgmUauPWedf983t6bFSYEamcuJnKOX4c20TZ7GzTSsPcpXzXEtOpmPpSRIICFTFeylzksscVzVFmet4JStZPI4ZgYHp13vZt75CZvzM7YX5+w2G/rtziQIu0zqC3lU3x3GHfcYKannuTQdqfeuE8N6kPZA26zbULYKyrbC++STKe0SXEogEiDLNME1YNvcu+lRt3nau4+pza/tmZc1vF+BS+oErZN8DtcGf0imRAd3K0/GCziDqmHh6pAS9UhY5YUyMaMagTSDp1qNLmoV1zhNO4nabhtWp6c+G4Op4OZoLZkhtf/EqLhKsf6a7D5DKsu1s3BxDf+bpVf9d7meer4f70LxBSP4AGqbzvx+RdGCyyxq/7hv0VdECUy76GYt5LF34LNxsG4hxsD5TrlImYTMfi0njmNKFrEdettKC2U3DiCwaBvrR4kkVQ7bBTEIF7uBfiio9Gz6ntHB/uT0jIPVkjZGTk/PWC8XSEm2Lx8jf/RNr+Wxq2ueuHaVg6ahEYs6HqwPCSWz22w5XHeslis0Z9uBGXP6FoXSWukUy34oXL+yhC4Qwor7n9ty88YhSY/dSp+zE140gifJAZO5Xmvw1+hyBULNmRQToURizpRgqu+ilito/LpxdXoVdM4nVQ9elGwyGvENG3Cxsc03RUueVOrJ2WpKPeOY6Pstu90F290F282G7eaM7faC3XZL3w8Mw0AaBgOoXhmHYhuCltn9gRTbodmiOHN0HLMsSvb3v+D6v1h7AJDKk17DAMGjQGGeyPZILPw5RRQw1TnOhoz2CkT17c5tMJRpwtUHa6ZjDV6a49neM+WSuVlSy2ZEZ0PmPVFLlSFQsF13p7w7rUFiz12rEYjgPq1ShQgTjFCNr6LiKve9lBSdTTb8+OID1fxVns/lsou894jsfcZgysRo1KMv83mn7diLb9elmOCwhpJlguvpUVSPWvWtFQeP7WZkN25o1RTki84jiRr2+rkOsHIpvShhuV0SlEVjDlPRzKoR8xuN2TZD8s+CmYsJRXJhIQ0l7Ui5sCk9Yxq4euWQXT+gRO6fb1l2DUjgdLMlKxyfX5BFaJpAt4g0seH+ybFJG9LIQQOvvXmdp26secvrH2cRhIPFiqPVAf3Qe+DBlp1u0U67CpecTHoBLlFJlDFAu0BLJuWRq4cLaGzD0s1x4ZXliEHPbEsqxMtTM5Wmroy0DmJ182aaR1ooHlmupYes1IsxElN7j6S0o0nuP/RKpxYyy5QqUdCCFNtxeqoyMI1FMV+UGogpxsA1GZPqcyalHXno2Q2J3W5L35+x220ZdjvGfkvqe1KfGXejVTzoM3mwsjEpeQ30mvYCk6zA3Ck1ihfY021M0dF9KdMXaw+4pdULwuKV0lUCIRClgWCRi2k1EWMtkwB076HZ0QK1qP3+YW2el/omskINvQd3xBd3dEc1llIjZUaxbUcUK9vaUHfqVObrZXp7zclyUwdgMtN0otumVbFOr456+3zt+CovmJfYqoqfAEBxM2q+W0HR4DI7UXOGTn+rQYH5QYOBSM3pq2wy6wzGNd9Mps8atRmG3qxUhaEojTo7mwabR+hwX+K8dNiKqDaxsptmpdgk7whT6fZ+LIx5LgpYhbvZzb+K3MNQ2PWJGAL9pkdCZNwO5shFGC4uGDUjnhOZcmEYd+SUOGrgtU9d4YkbRzx5/YhrhwdcPTii326spEgeSGlgsWiIEZrYEBhZtK3xzzKPxVIyTWM7/KoWio6UDOvlkqvXV/ze/Z7UK+N5S3dwlYETNJRp4anPAyrgWWfuB1NqU0w/VH1WuRQk29575EJpEkPpiTkiSdAQyVM+QkEko8G3ey1M9fe1Lm51jmVzA5hwtIo1gaIM48CQelK/Y9eP9DvbPKHfbhn6gWE7mmk3ZPKgjDtlrCZeZUSljikDnmkuUJOq6yYgeuneL/t9vnh7gCoIlwxMVxRIvcYJVarpQi2YNh3A3jhrqhRkfxJO64pFnCrXuVQaoMy4KExCSKqtP12MTiaoijm6G++wyQq6JIeoSIsBWe28KuKceqBGMm3iTjup+DdjPzVE/XnorF5+NJd/1vmm9ihRXYjqWi2h2MajBUotrD89eJ0OXIGrptqA0PeZWjU5F9hloS2WR4c2l1fjINMktJpYSs6Qs1kSNsHMB5JVbZK7DmfVCjkbUG2G5FszmOm/v2GGImzOrY63Il7LaDB/Vgi2xZIorUDUjOQt6wBves0jvPLRa1w76Hjy0etESWQK237HwWLJomtoo3B47YicBmKApoH1Yo3kwubsjK5rbTw6qNj5M6VYFYFYGhat8MjVFb9194TQHfLcZ4/56q99gjv9uWntJkZfH4Gb9b6w5DqP98wewRPHfUdi9Q0PcjEdmaTBNppIXtdDhdJNqyExmyZPQ2MA6SzKQIrZLSK+q0uxKpylZCR7SWBPGO773qoaDD1jP9jmCsNIGhKDM6g0ZNKgpFRIYyGPs1q9lpeZh7t40oOvVr64z+VZHrw9UO7e/p7z9WemR1KBa7543TfNptW4OmQrF3Gza+In4quCK2Y17tn3M220kRFcx2PXV9QGwcRAxNMMauTFw68zs/CjSrG66u64FrXJMpdyqaBVt8dydZbtK2SrZamMz1NfJNBiq13NY5z8cRVutGqnyp5EQSo1mvp9+lmnU9g/Ie7NDmVSOmu9r3qlGMvKWHStTiCBXS6sitJFXw2r2LQwiWzrMy9eg6SNYb6mUCxEXlwOqvYVo7CIcNC2XGlNTd6rcjHa/nPLThiGTM74wmAAH7HMfaujpBwsOg7XHW0UDlYLbt445LGjNY8crlgsOkRsY9JFt+D6I9cZ+55WhK61AtElj5Y8HISD1ZJxuyX1A13bsVosKCkRRAkhOmssxEmrpEQKN9ZLtBwjDdy9d8xB90ZOd2uSbA1ttHJuV1zP2fBUnmXsysYslVUX8W0lzTWRvfJAEwIlJVIYEPf/xuDzr1Eg27wAC5V7aWADqTCNrTpmsqe6FC22R96YDZhSIqdsrDONDkC2RVU/DPRj3YU4MYy2196QM9l35q7FJqnn9TltY3AWGCt56s9p7taLexntAXRSeyyIQpA4samq5bABbY8riCuumSdlvaxqWlTDypzPwatkmpBPnZ7Yw6h0GtSDveY4n+3dmXhUJuMVEKqlNrG8up26Msdy7MpicOf3xN4cIMWrM1BFihU3ZaL2pQ5MtWuL7rtSxQSPOCjXKIsjjhsbfg+ViYVLz6/qTWY8qmwUJu+W1nuu7MlCFiozBx5HDyB4nyQpnGfloESaIK6dsWuo5olWpuugLWJ1ijJCTnlyOTRegTP6AqZaCDFQSmbdNqwXLSAMWQmSuX605uxiICVlvTDnOY3QtYFQlC62HKwXFEauHi45PFjQNh1tbHns+nUEZX2wIo0DXdNwcHAAJXPlYEXw5FsRoWkb8jigGkjjMBWYK6VQxpGmiZPkIBdQN2VqWR/JI+sYiNkitadnW4YNHDbXuSChUnwRSqgvBLYN2WzMT04+uTwPhOrDwf1R2Z3bOqW4iIxmuWTIIfoiHF3JYgNCXOJQFII4ICgGXurHzsmirNk2Ukijpb6UlJxJjYz9wLAbGXYDwzDSD4mhL/S9AdkwjmbqEad5Y2MaX9y9ACbmZtGqKSw+Ft3SsLLILxkWfcn2AEyqspNqoO1ZWqFcXvz9/RErbqbTg/IHNzlm/IFNmiGh1kI3yQFMYSf/3H48cF9sCdVfVLmdT7VgqD9PbJmkEfX6oU6s2vW2GaROfiE/j8ygVu93ThydwXE215z6u8utAm9lhlOE0EWVBpBh7/PsmXGVhVbphLO+KlWgpiY7G3OQqnQ7ZyWNdYMANb0VMCBsx8LCWWHAHLHm+5WZlaGTiZ1KMv1NVNsqqVYB0HqVc3+KO3VjUdomcnXVUYpyEAqP3jxiGHrb22+x4HR7TtcFhn6ka4Sr6zVts6QLwpXVmsWyZblYEhs4ODhk2TbkJtgW6WNPLpkYWhoiUgrdYkFKI1cPDwgUNCdKtkqjQRWiksto5XqyVQE1G9oSjbVAybDbDoRJoS0c3zlndbSksCAuEhIylGiVOryW9J7b1ZZC9yJYwMPZjuumalM1n08MCYmRnMz/JCGRcg1SKRobGht8FKmF7iwNwWqZ1WVXqfXXUx5N3jBk3zPPwCr3I3lI5D6RB3OSG3vKjL0yDIlxsE0ZsgN1DR7vJwwLmARhf9GUOm6Dd4hZX6X6sr7UTGpKrXghFPmcrCt6res8T9r6vgokWHRCtV73Xsi8ri/2o1y6X6HuylLBpTKw4K/P4oy9ier5heoRqtlvxfS+6BNKnbbX/3y6UcEBcaWsX4Bdsh0sePKpSvUh6ZSvZEHuOSgwVSvw/oyEKd8J6kCfB9rUJw4W4veik5NcrN68Qi2DIciU8qISGIYeVZ3KBVf1fRFznqeiNFO9IuOrBai7EU99FYVRMzlZDaoQW38eBoSm7vEbLRkhMBJAGloCu90IIdBEgdTTtkITG8Y8crBcEkVZHByyapccLNesmobVYsHBekGzDMQYaSSwaiIxCoerA7QkSxIOrTmFk5X+XXQtbQjkYSRGoQmea5gysRVyScZMApAzjdXcQEuAoSOFxOmYuXXvzJihJhaLBZ/9zGf4I+94G7/7sU/wyjdcIeXNXh39SCHMJahna3sacZRqitcFRpgyHrBNOK3WeURCQqIQi5BLQEc7YAxW/ier7Z0YNRK0cevFTjaxp2LRw5RGxrGQkrHI4jvB5CGTBmNUtuFnZuwTQ28AZTXEBC1VerQ3Pt0pX6U9s/OcefJOC7cBaa1B8HL3Y3gAkKr3HiZAkDBPnnphxc0vrT6rYk7suoXPtB+eyAwEYpSwSoMqE7LwrDDltMn+pVT5wAxL05SeGI+B5X6uXf3BFyI7jlr0yVJuKhgWAxJ10KnOcoQZKn3yyl52lR9fi1cuEAXNfu8ymWv7vrjgkBIkT0xL9h7kFNZGENxJqqaLEt/1eD+oUDednNifBMaUpwyigPnCQhGSwq4UdskK+4dQE7YLZu6K2UGoaWBEiarEGMiT7scV9F7326602O4kamLSJlo4PJXMqjOvWD9kQhdJamxm1XQsFy2x61g0C7oYODxYcnh4QNGR1A9ce+QR26BUCm3X0i4aFt2KcRhYdAuyi0rTMLDZXBhjHBLNakGJFmUmFE+A9ShqBRLUzCESISS6NPLZ5+/z7J0zY2mlEJoFz965x3J5xMX9kd1FpFk3BB3seCFahoVYhQKlmvUz0IvXM7W6T9W8t+de8LT7MhJKpBShlEjOxZ9NsQRgBI1AELQEz+goKA0aLOJadE57yUnJg+0hmLKZw5pMlFlGIWXoS6Ev2betKsawXKxZ1HySKvZzcBKhdR7pPDNmt0ad3vPdq9QaZPvA/YXbA5h7thlhlEgQJXolAMuJm89YS/xqcYV4qGYUE92dCnkVJVXuItU2t1XcqGSYt22HKbwqE9pUhmbwMUexwjwoJuJk6BFCcKe4l4Bl7u1qLOaK+j7Z5rYvwXC90h5zot4H5g6w+uaVFts1lqo4FnPkiyOmpe5Ue2lP6iaTTtxPUZnd3AdMV2R9PLltRVmv1pxvza+B74kXSpkHDYUhK5tgYexWsN2V97lw3YcPV+T6AhR9ZQRhRF3Z71JfCUSERduS8wg6EGNDiLYpRj/2XDlYcWW1REsiRlgurFzvetmBwnLRsFo6cLUdIShHR2vrn5JZrVoOD1aIKmm0frs4PaNtG9JoZuR6ubL8NU8FaoOllWgezX0wiV9nt0DOytAPlGHkX/3Op7hzsuGwWXIUYOwi93aZ8/Mt11c3ePb37vHmdzzF2e4egjE4w+6aC2rav1rn255bNfNkWnAMNF2EqbaVVVarFaXZFpUiBYk2P8Trt4maYLm6OiC7bwvTKmWlZEWTf89QkkVpi+8IM2ZPb0mQkgFWSaAJNMue78vJBDrVwK/LNVotizoWjZyEYOBW/zPrwsXKL5NJff6U7he1BnGzJKhclh/sNQkRCSbGm3RRMt/QpfdPADN/Fa9FnmtGuKOv+vunCc5sQtao4uUjze2SW0emS3rJ9watSizvfM/Bqrl780NhYkH7bmaYB1QJXjPIz2skysBAsFW8hvgLmakkbH2v3zse4Zl1ZA1zTexazkMnsLfwa6BIQEPLbigWvQLb4bayz7rAIAw+OMesXvJaZmYb6kYB1TSpnFKtdI8qrQgLCTRqurQogQZLhu6aQNsKUUeWjbAIwlHXcNQ2dKKslw2PXjviYLXgyuGa5aJjvV4SorBYtBwdrVl2DUeHByiFxaJltVoSgN1mg6CsFksoShMju80FB6slh+u1qdEbY3ulZGM7ReeSukZApiyFUhRNhTKM3Lt3zP/vE7c43WUOSuZxTdzslFUnPPv887z61a/h2c/epc1XaGUN2iA0XgY40jQtMXaI2Ov4rkF1s9YaNbUxqh5MFtDKhHzr9DxvkKDFpC+p2KalVfGd1eqvjSUxlkRSq1FfCgZObhhQbJ3JyTf6HLNH7jJjhpS9omcOVlpYPSpeqg7RhvnkqoEpdcrqu9UbYu8eZW/+TCP15WLUAyQYu4OoSPa99tgbtGHq7Ck6FNTNpNkhbXlIxrWsfpNRXjPPrAeN/HpxOGRyzgXJ7nCrbM11Nd5TjUcZrQfLxGZgtoGt3nkt0NeY9GCKOlQWJJPJNJmwTKIBA0rqBDY0mQC09rrOcoDovVSlnsEEQFg9dgOd4v00ByQqL7T3IeJ5WJ7vp3UFU1cvW4nlkgs5w5CKaZwCHDYNKQ/Wb6EhSCGS9szfQBFl0MIim98GdYYbolXeRCfKXjfGpJaONt2HRfWCMZYs5itsNKAkX0C8b7WwaCNdt6BtG9pGWHaRrm2IMbJarogxEkIgp0zXNFycndG2wnq9AFXGYUfXtkRpWa/XNE0k7c4oKbNcdnSdUHLyiN6IavD7KAxpoKEhCsSmsVixr2LZJ3PJym7c8olnbvPRz95lR0seC7rt0TbQifDMc8/yhv/PN0OJfOq3PsfTX/tKbp1+CmnK7P+0tcL4uptDoZa5xsFKqxkfnH77A9Zs1kgwUDI9mvmlyFCkIUoxP9SklRPwonMmfLZ7K3WLKoWSCtTSKmqBraRqFr3V6YYSKSKUYIERS/lyf7M/xzrYdRpIlVUrElrb6h1IDmoRN0kFlyu8XIh6oM1BC0UrhTUlcYzhElLWjrc2LRFMdZiy0XT1zqysxrZHnx3jQUxla9ndMzuqwFUPb047L1VRr8FxqrKmgjmQYxFyLObYFYEovp+a0eWyd57p6tXPUUFucr77acpc/EymT9bmvFGqCl5cYoEBd0U3maHp8qeZ/Fj+EYprYAKWGpHEwCQrjKnmU5kqO0blyuHaHdoFKZESzeFKFgrRUpR0NCanhUHFi+b5nZRsav1LzzdQNNnW9iHOA1SKb45ZiEUncAtBiMEWiAC0MSIlW6nhUohNR2gi3XLBuluwajsWiyW7fkd7sGS56Cg6cnR0QNdEll1nIBUNGEUzZUiIZhatlYfBhZEahcV6wbDr0ZLMkR9tQwmP8Jh5VrJdu0BKytBnTs7P+einb/PJexuGbmFAnJSVwvXlis/evsui6zg6OmK4s+FT//ITHL7+Kho2qFpJmsr8m2lRw8mwV85EjRFPY8CjuzIp3iZWJbWyQbCt3k1gFomeljNHmTyQpJBK3aZKbMv0YhU0THQuDk57c6oewq2HIorGPYDKNZGYS87zeQJcHsP1eLao23jf91vVYNIXaw+Qu8d0gTNt2rtBf3nPPXXp+qvppNOmip67J/MDVP+nptEAFtb0CMJ8rup2rq/tRxNlz5xzECxMm8eKFmqS8KVrnKJYNVZcJ6sy6ytkkgsIYFlqlSXUO93rEfd1BF+Jog8+Az6ZUmTq8V4A7zN7mzrRBuyIMiRlyJmxJLfz3ddWmMLOy65lHEcKlmydtNCVQgP0XlFyVgsLfckEd8RHB9JSlLqXZQ0/B38+obIqZ1mjM9IGQVOieKg/aqCL5l+M2E7IDdAGG67L1YKujWaiLavPqaFdtsQIVw6OyHmgazoomWtXjiilENuGNsDuYosUM1lWbcvQ95Z7NxRyhKLZFkmKiQxVCWFBKQXxpb7qkvqUudgknrtzxsefPeVkUHTdkJuWUnbcaFpLdh4Ghn7g5iOPsnv2FsuzzLO/veP6q6+zPuoo0s9jtW6ioMFdFx4hI4NUU9qqblYHgomlG/NpFQcqXPJBZerz5gmmY4zzjPQMdi3GwosLlEuNYmuwLafqXFD3oVI8zUYNL/PeZN5zDl12KfkMrxzhBdg1OYbFAklaT/gyydTLF3OG4FEsFyr61Jq0Sc77NFoVQFVXcUNFtj2CU3zF9uidX3wT93atsA9O9rtqdTT7TUtx6UF00DEDKWqDeEnY4FhToqO2o2w1mVTNd6TBRI4x17CoTKuCejIqar6ywBxurazKbxJwX4fIZC4mTNmtQV0rdRmCjCFaFSupysgSCMEAvRA9xy4x5sQwZAaKr4B7/gAxQMguJBQCq0VnWzqhViseJXhUMAXbhToSvSKk9UfKVnrNhMyREm1wh8C84kstuetrYkkgAavYlJEAsTHzqo1majXRC8ZJYSQTNRBjw7LtYJcITWF5Y8FQetoYaZeRphGWi0gee5aLDs2Z0DSkcaSJtunlMOzIaaSUxMJZVh4Hlm1rfpqSfBNNMzXtc4KI++lKQrLphvqcuBgSx6dbfu/2Mb9355yxwKJp2IlQ6Bh3I4vDJV2IfPazz/LEk4/xLz/7Sa7rIc3pyOd+/TPcfP0TXHvVAbCzYIJY3qgSpvC2qKVrqTPV6hMTr3RgW1UVJBTPmDBnurp8wYZoIeMRYbFnkcXnoukTXFYzzx9woLKkyhkEq0xHokWMkSl6X10idYGtOgOZhn2AWsja5/5kDtbz+fywCh9OBPTlucQfaAfjOi2rynx2iNU31bDj3k3Uz+6F3WXftzN1hkyfmxzAeySiRu5mJ7VN66luupdjqa/X96JKrtUYtDIZZvOwnsPfPwOQ34OD8FzdR1EvLDfV9gFgb38xB7rqZLy8ZNQBxeyrc/S22lc2UFRhyEqfrcB9cfAuBd855wXBA8z/U9MjQhBi2zCc9lRJhi+tNjArgxUPwbt/rKY7WLRp1oUV8BQj67NpmyU1AAax6qC4SallSkdpanTQfZe7kpAM7Rjpt8ryYIkUCymtVh06JqQUGi3kNNC2jYk+QyBqppRIr5l2uXAlvJU2GXZm6hnjSAYK2WpFSfGIdPGJUpKF9EtGc2FImYu+5/i859k7p3zm1jl3LzJNt6KJkRQbNhcDV4dEUzKrZcczzz/P17z9TWyTsdkrRTjsljzziVM+c+uMp9/4OOtDpTBM4IN48KkKaoMXBZrmU+Pm3uVhI24wFwuB0wTzBxbynOAPFAlTiJ861uveAAjTdq4z0jmw2OxWB6upznrw6icBxJOTjTzUz0P1D08mrH/Zfek0Jm2AVY3Yy6RRPJAEoU4IrBMdvQvzRKnAZPWJZi3qFMVwm3QfiMw99QJ+OJladuxLW99UUNwHR6rBXx/2vplWTThF3I0N5h8yEWdwhdGcAFnzButvFbjEuWwVaFpdp9nQE6lVNLl0xAp7Us34vdvZbwUYciAXCwvbbs9QBXQ1uCBlXiDMIWupD3aPdu1N2xDbhjHVrcLcka+wXzcbnCUhVpJKlRqQqGM/y1xyRoFWnfkXdRV0NB9lcOV28bI5+JcAZaRrGyTWna99lRahibbIjLsNQUe6tqNrGwOnNBDbFkFoROZqp6LkYaBpGnJKdDGixXLwJJpyW505WfTLha86+wBztvpKKRU2u4HNduTkdMed0x13ThNnI7AOEKAXKF0kqtJqZhHh9PSEZbcgdh2EBuLAZzY998Mhei783//yszz5iiu86jWP0sRMocd8RsFdEuoh+uJkKM6WSQiE0NizqtG1KFWERiU01Z9oG/bus/yqsbOFJGhwUy9Pc3KeVzUNy+aLWhSEQLTMC3mBL8oHq+pEOUy3N4HUHlaoE4BQ5R7zLHu57QFAyjqrBifm1blOUPcFVZoXAJ9M0cWcQbCaTcU0IBPuuhiw5vNWWJk0SOwbizrlo+3P9ikc7x0g04XN7zMWOC87RXUKsVrfm4+lTEBUTbRaQH82WG2lq6I1dZZZm4HLvGWQc0GZzcx9+CpYZMkCL2LpGTZ6jWGoSTJqJCqIF0ATu7bJd1YXCoG2bShFGb2sLGqAED39xWhUhRHzPQniE1rd52TglZ057afgSAUgDJxtS4bKomSqXoo/3xhtZjXUbEAPZ5dCv9ux6JZWn3uE0DQ0oYGSWLcty9iQRju+bYThzzBliprsIJdCSpmACUZrnTDN9h6bKNEDNzbeck6UYrlpF9ue803P6XnPyWbgtE8MQBvMgZxQBtRAsyRuHB7xsbv3AWWxWnG27bm67DiMwjGeS1caPvfpM5575pRXvuYmTz11ldgoeM4fIgQNdq+VrQQDIwlhes5S85FEMY1VpJrdhi2z2RKoAKaTQQCeEeGf32dOFoWM9oX7xEQIMVqhR8GZ1zzbba12BjZNrzl3dd/yEVFLrhCfQ+B5vi9fhPBApVqqX96RxcV9FTl1ZgtitLLuO1Y/jTOPSbS4d3RgYiEv/IsYUjCtFaJe57w+PKYHp7j0wU2Qytxs00d7AHMp4HoRNULiTnrxY2PPnykaJ5eua/rHbTwtvmzgD3ZvNTHg9YiJug+ASCqeLR4a97F5La5iuh4bCftRRPEtuMM0cCpgygQdynK5NH+EX5NQzU9XNQej7KHMEhFBrGoDnpXvIDStyPVGQpzGwmTeBntv46wvFwtrxzD3AZU9EGwSaLLJIoGSlWHX04UleRxs4w6B0HaMUv2IFqkMsbFBX2AYtyCh2sAemFFyMrFmbGoEsiZv20aYWqAfE2nI7HY959sdpxcjp9ue403i3na0+xTx1Bkht9HSRnYjWUbykNlcXPDEo49y8ulnSEG5qpljHTiJrROTQMnC7338Lp/51G0ef/wKT77iBkdHaxvHwXeqDrP/NUT3TUk0jVoI5vIR1+ZpdGmKgwxhfvbKXmpMXeGjH7swbZO15wMLIdqXp5g1BLJEcowE32y0pOoeqAt6hSIf69SxOKeQ1VFVxTRaEhJ0GlMvt7386F7Ic0TKzTQbcBW8MOakrpESpVaLzLWA0aRJMsoU3IYoJTgdr5TcdE9OR8wPInsY4YxmiiI62hdkDplPtNO6MzhQzXRYnIqqFS8rFThdcCb7IFbNvQrQ9mpw07I4GChMZlEI5j8Q9/GoQiYwKuQiFA2E2KCNgGQT3GlyPUt2X4tOJqbdy+wLnHa/FZN11H0DLYewsOqWZnohWNa8lVOJ6lnomLmqAUoJEKJfrxfRr07yEqZKD1o5P+4hEdvyXkVpEVMW+xipxqlhvGuGXBMHJn5vQu2bajI4S/V7izFajppapKmNEYqS84jEhlryp2TbdlzAAmZqEwFRK10crWJHLhmSyTRKhqEvDMPIxW7kbDtyvOm5d9Fzbzdy2hfabumSpUIRGGMkDcqqaWlDQysNp/dOeOqxx3judz5NWa+4SuZRLWxKJtXaaihdFFQbPve5Mz79mWMefeQKr3rVYzz6yAFtB4GRIMVYlDgwBRd/OgCZmR5NMB0r+3GHuARnmBWszLdU09BKBcBQ/Yl78qEAEo3BxRgt+JXnDX+jNLY7pqbZKbIHMnX+GzkLBLUoY9HiwS4zSU0eNX/wUgHNL9AeqJ6USfhldsrXeS3zz9a5FYgqHVUf5LOXf3I7iRAkUvYONt30Xl/Ys/ZrYHY2VxyZaoKLTqvFBFA6PywDm+BmZDU4y96NGI2eKjX4CWZyJTNIGUW7RAonYHPAUw0klD7DUFy31XREMcNHy0hx34j5W2ZqXcFocurXAMPlS/N+sp5txcR+q27FZtiamrqxldP0OuO0eNj/BtwSGwcHmUDDWJyvguqpFsy+pOC+qspas5sAxTU2RuIMaIz6W4KwADEoXRPcZ2Q6tTQmhmEEMou2BUx8GDHzlZzJubBoW0rObj7XDQXSnq8n+jis5qiVoSnJNFWlBNKoDENmu0tsdyO7MXO2GznZjRzvBrZaWEZT9gdnjgOmLSp5JFBYLxc899zzvP3rv8ZK18QO1QuWycvZRGf2e2MmhiVEOD5OnNz/JMt1x1OveIxXPHWdg4OACZz3xNHii5O6+UckxMb8VdVcDxEkWiRag+dzRmoOp+3a5Ca7M0MDq0CMgZQNvCTOLD3E4GWWL9GQabxV80DcrA7auurBPX51LPl/eSrU/CDeKGsPYO7NxefcE2LOs1gtHJkmvg1my9IuWCgd8DrQ5mgN6hWa1Gt+i4Bakq25USsTq6aYY93E3/b8MFOn7QOcTCtt9DFSgruE1eS1WeQSslvzelN+1/gV6JQaM/EqO7vWSVtXhmADVgt9EbZjZlQQWdK0kRpMy9kTN4v5RSpTUa05cvP11FsMDqDmr6vALZO/CYEuCmMS2rZhc7xDCHTBmMRCLZycYrMH4jJtvyVNdcAHjyZilYMKtlIH3yZsMqWrE9hWSistbH6+UMS1cG7GO7tStZ1boq8alhPoeWW+rZPQMQy9AVNjDlfte0IQmqabxkNx9T4CIc7PMgQPhxebGClbYi3i+WpeF8n29SvsxsTFZuB8N3AxJM532beBssFTJ2oKQm5a8jBQug3LGLl9/w7LxQKJgT4XDmNL0/cs88iFi52tqIXLD9Rz7oIiEul3hd/97ef41O89x2NPXOV1r38F164vaYKaTCEoIbTUzIwQzNyL3vfmazKA0sq0oksCsp/SvTIhRKLX8i+xmLwkBxoJ5BCIUSgOUhIEiRBasX31pDI0i6KrzmGhfIlcqJ0021ipu9kY/NY5VWYQfhnt5eukwG1SpqhC3ZghVASHWY8k7jjei4aZ3ypUtPEVZjYDlb1wbLbPuavBJPXBQCEiTLkue9E0re9zJ7cldQai02IThiaqqGx/eyCjSVZVMWDRy+mK/FotSjIziaK1xroJIbIIfYFtyvSpkAlIs6CLC0AoZfDSGZ6Tpcolv5Kzr1pAEGxnWagAOLMf8w9pdUgRgSZ40bFoK/EwDkbhKSxU6VIiCvT+ICvdDsG9CsVqLWnOfu/Gsoo70Wvpl2mRr2YD5u+wVUuc8Ho6hxZyxVk106FrI020CKD4OmsO7cY/X8WVBZGEiGU3hBjpus6icqrkZDsjBxWGbIXdQrAidvsi01xgGH2M1RK4Rdj1IxebHWfbHef9wHbMbIbELmVEIilnmqZBJSMhMkhLJtGqHX/RBO7utuQI8WjBcRppQuCx61c5v3fGSVMosYLHbN40zBxe8HMQeOZzJ3zus/d45NEjXv/0K3niqRus24Y2urlWWY7MXyLBTb89G8QDQRrd9C6W2CsSiE2HaaNGSsgGbrFFQ5nyTbNU00j9fBEJ44QFNkxr9omPw7qwu0N+Er1Ut1gIiOcZ1rk6j6Qv3F5+7l6RyTtfqAPMEddvaJo+dT5VMIPLk4s9s6h+VkwNXMXdbrnNHeFYIgJTuQdgH5LN7+F29hwWNJNS9/KOJoBlsssrVEh9Y52gjvrVI1BPXMr8YAYRcg5sc2FbLHcpLrtpw00T1Y3TlkI1V/BFxFdk/3aYzGXm66x9V+UMxcE9AJ0ERlsyTaiYEyEKDYVWC60n1GbvE3FmJkQD7OCw7KWQqxTB10TQatrKZIaI+z0sn8vU/BCIaitooUY57dlbBQ2hi0LXtuZIdV+kqqX0NMneF7pA01qhOyQTQyClNLkOAoE8FkrOvkqbiSNVdlDTQrIvWllJY2EYM8NY2O0G+jGzTZnNmLgYRjY50xel6TqSUJ04iAgjQi+B7a4ntTvycs2uz5yfb7hy/QpNXPLO972Hzb/6be7+0q/SaqHXMPd1He51HCsgkWofxGjgcu/uObdv/T9cu3bEG7/qtTz99BN06wbEoqfGnnxH7SAeCbQ5eUn0qdU/GIjRFzsVE+lKoo0BaaIVA2wCbQ6UFMgx+AJUWbv5xi4tqPWH+kuY/zaPkUm8M4F0LS/+IO2BdosJ0wrszEnENDs+cadoDzUiZGAQqREBo4pZ6g0UCEoovhOwBKCYanbq8OwygRl0ZHbJ2rd9NTT75pmBn1KmLaXwxOLiupkQfRKW4mF/81+oR5cqU6kpwvUOA1bOtc/KLimDg9Ni0fjOJr5DbDaTTmt5lFIBupql/p8U7yNzOdefQ9hT6k3NdSsE2xQyQxugo7DNmdXRAQQY00hoolUG9W2o0EgOLdNO09juxRL22KcvPJZYbPvAKeZzyiKW9lJZkIy+WAXvH7NnbesFBypnv5V9jiXTqJmcXRPomsaqJrSm588KyybShAgx0JdE9MkdPVhXciKlQk6FnLI5fHGhZu3FbP4q8V1Y+pSnom79kLnYDWz7gX4sbIfCLsNutOttmogWaIhEmsn1sI0t10Lhjd/49ciNR3ju//gIJ6dnPHXzSX71//4t/sE/+T+Id27z2hBZl8gYG4ozG/ElvmasTcUa69OswAWE0HF+seVXf+03+a3f+jhvfstreevbXkfbWhlm88lHVKONqeiVU8WSu0UtTSrlvYCHmn9Si5KjCVxDzsRgEbwYxYWrgdg0hNQYQ5bki9gsO6huDvE5e0lUI+Y/DSWQ6x7sis+pyjz2vEdfpD2gmNOvopop1fTzukjqnWTNfEQzw2Ki4CDTKmwPLjhoVbpUb1fnhzjVd3IYFO/4PU42XWf9V5jU7MY+qggVqgQh4AXiZK51sDdumAFCpiMXIruibJJVYYxNQ+d7nAFTvepLZh2XH8o+5Z3BsH6b31j9ffvEs240ar9HGi0sG7GVuChd25KyVTqIzjqjWDH/XfFFwvvENGx7G0yobxq6L/nfo/JTt8h8wbadtwO4D8AYaiZ+fRoGXlU7Fjy0riWDBpo2EqM5cpu2MXDWmWFIUvKQLQ0E71tsB5NxTEhOREcwMwWr7wTTU6XCmK3W0m7c0Q+FISV2KbEdMn1SNmNhMxY0BsaUaLqF1cCqCkqcNZcFn71zwTPP3mHQwvHJfR65/ijbfsud+6cclEBcBA5RzrD6ZHMpZ53G9yVGtc9BnDGrBEIb2Q6Z//P//Fd87Hc+wzu/+Wt57dNPEmIxZut+qSgmphVRGmcwJQpNI8RUGEZsURIs0TxaNFZdlxULtK3JJULyCODs+LTrvQQqdR7bWLk8Bx2IKghr9fI6o/D3yOUDft72AFUQZnAxpbg7xcRSNoIXwZvNCIhlVl1X2r+/DZQ1wdbmun98fUjm9K4gsj9dKrjNO9O9RJP5YU/2um/RJLigTH1vep9cdlmuF3K/WeOUOSNkacjAbihkaaBpaaJtImA7/AKqM4t6gd+pcv0XijmnfnD2VzfxNNCoWiTnXZVyT8RS6YLShcioAhpYL1b0w0ApSkukDUIo2VfNWtMIX1imeAxFoWlaRndiX4bSPcyumiw3OaIvBnZd4oXZvHgaMkeaqu/C/ZQlZ2isP8YxkTXTti1xDATNyMLErMqWLthuxCFYaZmUkx/LwLnm9AUJJPVttrJvZuD3lpJJDvo+sRuNWfUpMyboR9j1MCaBEG0xC8H8e8y7VidRdOj5vd/6OM8tl5QYOTvZ8IonOpoYibElaeZ4SKya6EBSPXyhrjpfsE1R3TLLeNpuyflZ4n//3z/Ca177GH/sj72Dm49eM0skim+Ma2MohkDdDKPxhZhiEe2kVh0iN+ari43NgWiDnDEoTQPtADkERi/5s6+DnMYy+7rGS6soiO9wruXSXyurepD2YBIEZgDaW1Nt4nlyycx4cLNQXLlaZQM6+WXmDStns8eyWNzPcSn6Nt9cDbcHna9pAnyMLVmZuD1ttKvRw8ynzUdVZsGp7t1PVUk1vhKmEtgVJUkktrbCojoVIasmotZu8a+6c0dNAfJM3mnCTy7GKZLpbG8Sk9bVqPbqrGHSYgnPC1+csgIhcnRwyGZ77kzJVtkuCCG7artSdv/ZtlWyNIh6Ddkeg5kSwc276hebBGvuOA/7cGZZjuYuUaqCOSu2FaM7kXNO5KDkHEhTlMr6PI+JnVeDDG0kxkhS3PPmfekC19oPY2/C1+L6PAmF7JsPIDJJHGzTUiHnSCm2L+CQlFSErIGkLjQNMpciqiwI22FHw8g6Rtq4IEXl+P4pV5YHLGJjLpEg9I2wiAkT4np2gNRxqtMCii+SNfJpf95j0hgZMMYqSFjwmU/f4aef+Sd8/de/lbd/3Rs5uNI5QTGmktSiuFKDSmK7P+fqkHT21DQBzULMgsZAiUIItuNPE23xsQHgwt8qjdjTOk52hi/6+/NVfcwKFvlVbCPUeqWzc+gLtwcy92pop67/ZskJ+/6gafTv25zVreJ/81J1l8ycyjIcIWzqSjX41MWNzExt3yTCObNA9bzPRl51mDlT0eI5RHvnrL61icFg+hsV+tzQJyFLJHYNbRMnJqDsRTCnr8oo/Mpkjw29cBXdvwa/b/slUp2OdqzqNK8daKaQqrHJRWOmUh5N1hFEGIaR6FtK1d1JTCjoFN3PHfy6bEEQtBjbSmk0VXDVZmHm3H6v17EQxMAKr80URCjZKl3YJDGwyh61C7pP+T1cLnjBORMNF5VaWh0pxTYX9QHetI1H/pjK8paiBi4+HkqxyOiYRivcloVhTKSijBroc6IfE2M2ce12LGzH0ULwMUIw/4wFVXQaXwXQ0NACQQsxNByfHSMBVqsVu5wJRIbScxSNoQyWzOqTwlNCijGgOt4m/eDe71oDKZXtY7+HaL6oX/213+K3Pvo7fNM3fx1f87avJrYWN0xFzfTbm1sxQiwB8V2XTSNVyCFMAk+L5nmsQITgZmEIgkS3RMpeMKfOwsquJ+CVPYtI3PqrUfj9+fHy2st3nAesSqDMtWsmwNK9VXZaZKszWCd2MZnj1DurTEE918tYQnYn8uTI9cW7Fi1swIVsUvvAp8/+RN7zg6Go1mqUNkmLp0YEhbpVu00OLyJXYJsgaaDpVrSN5TJdkg1MgKS+YXOVVzh78tW+TP3krKSmOcnesFSbyFo/v98mcHew8MgZZIIYg0tFUIlEUdoojMV8bMtGCDU3EgszG1srVvyPal7YzyE2hKJW/bRkd3QYaBcyWYUkJuBrMlYZVF2P42tjDOarS0VJauZHQyD6rscpJbpm4RkK86C1ldqEdwVlNw4s6CyBVwUJgVwKu11vYfsMKSV31ELOo9e6CqRcGFMiFRhHnfaNG1JiSLBLhT4XhmIbpG7HRJ8LGhrAfGNWB8qgvMK0FUxs6SbJSiAViG3L1StX2Nw9IUkka6DNhUWBnYfr60CYTWObGMXZ0gxZOMv2qcT+5HYZD0Iblwzbwi/87C/zm//Px3jve7+Z17zuKUQGXxwcHINx0DYr2bexLGIq/RiU7GWNuijkKIxRrLSQZ97EKL7TWh13PidVfMGprMSvc9rxQ6vhMEmDgrgvTC8veV+ovXyfVHWAT6u/J8z6QA9e2GvmGGCgA5VRVNMmT6ZbZS0yDYO8d8wJ2fytBcvinz43vWt+j5+tftpQ3XMGqRGJ+Y/TxyrdHoFtFja5QZqOLrbUfCUpgtWfnD/laDqbmhNrmkFlKl9cyZ7rkqQmeSouv3Chn0HbPGBF9jakqIzCyi83QX0AWcyziULbNfS7gUigC4EmFzQnuz8pZE/2lGDg2tSSzjhgSzRveMlT5YP5X8XjflMcrbKzGExRXrI948YTeuuuUUF8nOyVuzVGZKVqR3eIV+FjCPimCGkeh9iqnMaaBmTHy3mcgMA2ZjCmlIo713M2UeeYGZIyFhgV+lzYpcyQC6MqEm0n47axyguqQIzUuK6KqadX4hVdEVIR7t6/z3q9It26T2w7xtIQdaTzSprmA61P1wBvcn/M3bu/iqNaU8Lmxd8i6j6T1Pp2uVhz984pP/0z/5inn34d73rPH+XRR6+CZtjzCcVg6WZFTExb3EUmocoZLOBRf55O/YKveWMV8zfa1KqzQvemxjwv672+6CZfRnvwzUHV016kspLKoGYdVf1HkMnLUWo6i4fgjVm4FFa0ahao/priDnqrCS4ONkwWk4LLDKZLs7eFGiWsAGlpslEDVs/bfWEiFDFqrFgVgFGFiyQMpaFtO1QicxVFA4Wo4mp4o+zqanHxh4bnvdl6Fy8PMO8L1Ers2iT3UioKtsECyCT189VJmMw71DRERa1+Uxdw5mAd0MRAKh7xCsLg9ZViMGARMaYgKlYZVWXaMSUGXwmagDaBlHSSZhR/lrLHihEPqqv57mJQuhgZvaBb1zSU0c1gmatQxkZcPBgoYj4/Se63KEoexULlBM/7LJbH536P4lJTsE0KcgGC6YNSsbSVYUwMyTYrSCmTUvbNLSOIRV/7lNimxC4VkjP+EKOX3YXGazvVJbHq5vpcOGwMbooWiIGTkzNuXD20lJluRRIQAosaKMJNnsnUZhrvNfFkchbCbJXsL9jTHPflQT31yGgoQVo+/rHP8YlPfI4/8g1v5pu/+etYLhqrfa++m880Xz2XzkGpaudCCLbYeB2wGKILdi0SSDBBc62CMO3sXeMsMImu1VNhDA5s3Je93Y6+5D6pvdQ4B6e5rANSJ5/MOXTMjMZWRy/OhdX9Ed9jzvdJ8eoAXhZDMlnUa3A7U5NAKxYtzFI8H28PsfZWmuzOvugGSOugkd2xbRUSiyUvS2AMMOTC3aGgcUnTtEZj/VhaC305c/JtM+2eaz9XtKx5ar67xgvpvZYaYDCGVWqkrN6C2AIoOquSqSDF3uKgxSJgdYJ6gmkTbDKrm1kC5lvJ1pe1prV1rUyivVo+2RhWBF3Q554EtJOURPn/0/bvz7ItyX0f9smqWqu79+M87nPunfcTgwdBEgQlASRt0pRk06IjHA5FKGz94L/LvyjscNgOR1gSJdEhESJBACYFgBBeA2BmMJi5M3PnPs97P3p391qrKv1DZtVavc+5M+cqqDVz7tmnd/fqWlVZWd/M/GamIb/gg5srqS5lJMZAhzalNxRHIeo+qGKfK4LXFrdNVrL5s4gBzXbIRNQ2YSnO07GuwxXFhmpCZ6suGoPV0BpzYSzFu6pMznxXchHrjDLNTvMhG88t+yqkZK23TLTUE53qkStMAUMxmql10x89e8xn3/4MJY9klCEE9uPEWQxWDLCiEN8nuGgHL5ET3MRVmffNQira2sOc1VGJz+oUP0GI3t/w9373W3zn29/nH/7Dv8dXvvY5lNFdnqb0A4WI1U0nmuO8dkkObuIF/yNSKQlQ63GVaj2oA4VGsZCFgeFy4d85b1Ze8PMnX5+CzEmbTJuaaos2XenKavGBZgYxnwhtoVgswfJWSnXRijAbPbWyIRlrCDZ/2ARpjvwUKcwiBocSuB7g+nAwB6uYf+R03RO6yPVN4WI3Qr8yU6fUzO28QIc6N1KA2W20CBxU1jX45lcWo6h/cAXlFnmNcsqsxJRCDhVdVXVY31Ony4Qs1EBBMsf5yebU2mqXbMoJKNOIDpNv6NQ2QRt/cIwnGLoKQuh6JKbGt5L6n7qJfD6smardKgXbxDEGVmJtl0onlNFOXttQSinBS1B71r2qMc1jsPy8GNv3TAWUjE6TVbio6y4WCdYizjC3rr9lUkqu6Mkd5ZM1x1SllZCZirb2XUM2hZW6ngnjjgWpZWFq1CeYX06EfSgkAj3KDrWuzsOB1crKE2lUxgAlJE5FCBlKqsJvsl3N6ONtKsc/qyxe9jVa7CkDP+J7o0LcEQj0acPN1ch/+Z//M7745bf5B//w17h/95TMhDIhbhlYHNegcXAfXD2QhOJtrOygWITHXLZlMT8171OpvQZrcIZ5+MfXy+moT2HuVceZQBDr0kowR9rs1a992IASfZDFs7DFKrGU4r0yghXTD8Z61qlqXjeTKObzo1DrQNuzirPd64NK7WYGTkQ0pBeYQmS7H3l8dcVYPMcpdlZwb5fp9yPdSjmMEPreJrjYouUqEH5rK19iTQVqxFB8tKZ4m4fGFXA17tzZ6IsaJc33dSeo4PdvvQZnJR404F/h62r1ukMRVkSrCIBYDfQycHL2BiQzstddIuqESOZkFbxSAIhYOopAS1TNpZbiEfNF5UyMPWWcTDGGCCH5wQGjKLFYiZlhcjOvKOsY6ZI1fSg5ELWn18kDc6ZQC9kZ0RnN7qQWq89+M050pdBHq681jJPlE6qZ111VYILTFoxtH6VHFcY8cRhHxilbMvFgJl/2aG0uFumTEi1IUgqjGuqSZAm0ISQro6N4hYHqgjDTdhRFotCVCTAZvrna0qfOmPW+WQ8ycEYiZsgxuZURqOlFjZaixgww2V4oJoGZqrPciotcVFcw1RMsBPd9FkqI9DHx3rsP+b//X/9LfvVXf5G/9SvfJKVkUd8GBorVD1PzNgZ3EdTDtFpNValocXKqLPzPWjld5jdWhaDRyg5Rnf2FIJ11wi5TCyD9rOtTdYuRF70qdaZNAGvzBUEWZPkFctKKBmxLa52oxV3NxRWaOVQRWosG3Arl1+hLxcC5CIciPNmO3BSI/R1SiARahhdTsEiVTu6UprRba+WAVElqo63rZCpoZmlXs2/hNF9C31uTWGkJbZ7UTMo54DDP9VyyuZrTtlNihi5ExlI4FGVKVsMnxsB+vzd04ulGURLT4eClWpxdLkZRVIVxGIwzVIzPfb6xgmwTZkIazWJeYzATw1rAuZleqr/R4H3ExlcioNH6+Gmh9p1TbG0nZ4ELhak6bas5EqIlvE4TJdvhMGVryZ5i8FSOyDCOjnysssFhmhjHzDiq51hapK7UFuMajLeutRmqgkRi1zGOE33Xe5JydF9vlT61qqliSqynELDgwvZmD2Om76zhxKYTYlHWFJIqA91Chqu/tU7pbP7JYs3dmnpOSc2bRY/Riv/YxuzzHFNCS+D3f/dbfPc73+d/8b/827z99isgN4RQKPnYoqnusODouTrM5+9Rlhv2+Uoi9VYGFszdA7Xb0Ke9PlXuXhvU4gd7gHn71hQZJFrel1ZBqUaP/08sxGnETjkyI8CiRTZTeEE5JbqgVIuzeYa8MF4JwjglbvYjN1OBvqfrzVFsVnFoJwRSvCRu8Aw2dZ+JNNRj/nw/oar20eVc6LESqnNVN/ML1m5J2DtaXMFOUeFIgVlOWqkUoWbvicK9e/c4uXcKqxU/efCI/bOR1WrFfncghMC9u3e5u1pR9nuG/RNYVg5VKwg3jCPTcKCMk7miRdCxcPfuHUIu6JTMB7SQlFr9wpo0eAKt4KRPyz6IjoclKPtQgDB32y3m4JZsIfzoXKlSMHfXZGx08SYDljZmhRGDQBJaIwJJ9jxGOcjmLM8wFfGaicJUalkePyCw/MEpVz+VNanNBTRWpvpASIkurPDYpKF2FUpI7IeRjcBpLAwxMd4cyHlitUqkGHglZO5ogJuRlHqrY+5R2Fo8MroyUV+P6rPSKn+LEsxH+8+DQloP1hbcMZlzA47G71IQLaSUuLwa+Cf/1e/w1a9/ll/9m99gs+pARhNVv0fw2mPBLaFK6MQjwnPlA3lOQcnRD+bHa4RYSuO1fZrrUyGp4M8h7gUU3KkpdQdZrZtq6tT0jprIWtNezF6t0+hldoObg/5tlUNi/3d/AqZuWu1z8ZRlMeW43cMhA3FD2iRKsLbaaPY5nRe9Nd1UbYqvCkvwZ1S0fU+tlFALktmYqlIpi/uGmQfVFIqwXJtSbC5qy6A6wUdIysdXdO6CY4o0ENVM5u04Mh729DFaakPsuHPnDtvrj4DAvbuv0SVh88orPNseKJdbx4iF6TCwu7lhnIypHdyRrQg322tCgLt373NTRqbD2BCx4vXLRdFaL5sOdXp67TSyTh3aKXE0W3XImSHbPASH/rkUGCe0M5MqEmCytVHPti1ZPbo0UjRbc1HEAhRepiXnzDCNrnTEE3rNX5bV2tdL5dVhZuY0ZaY8MZWJYVJKTICQYsdU7PV16Nzk6QBDprubLSkKulrxahnpgEO/4UfXVxAiZycrtlc7VivYJOUwDlZQkDn8ZYdsrR5RF99Pu8UBOKeUiPmFxKNqvrea27eF9j3YNP/Ln9iPYrHDP6XEO+98wE9+9AG/8je/xpe/9JanfmULLmGI1mLb5q5RLz287Cq0RFPSGNtYld0GuZtAYyWfy0LKX+76VEpq3khumqhNoIW2baizMOdZ0TRUIcx3qPetUbKqJfz120ijwm2f8PZGCexzYD8JJXbIegXgpMX6jTJvKsDzKqh2fzNNFwimfsWMrCoUrz3+9Oh3xxM1I8b6ko18hlemL1/83O2JRY7u0V7XzArYbm/4eH+DygVgeWPDfsewH8hF+Kt33qWIEovyyrTjNAYGLex3N+z3O4+guTIMUHsOCrC9vibFnvXmhP04HOU4FrFCglbVwEymQQqr7P4Sn9oUPbgehDCMqE52n2rHiLcPzz5fwUwMxZzWlSqCZmuLlSydRmPnTTIndqORObPYqhRXWpNH8BQlJoNjZSoeNjdG+1iK86OMCFvN98N4IHXRoryhUreVq6tnPH3yhGdEDn3P1+5u+Pz5isf5hpIL+9E6Le+vdtw9PSdeX9OrsJbYshnsG8LRmh53JzoWppp+tszZrG6r2YeuR8HXpgzbbUwJmosC466FSJDI//gH3+eHP/iIv/7Xv85mU727s0DKkeDNCvHI+qvmoG+42Z3DPNjjx/pUiupTmHu2iEY0r8Hx2gjUuRf4aQpNwGbzbh54y//yz6r6BtE5h2mu81RdbriSEXIJiBQmFW5KQENHXK0JCFmHRpScFagjmebo8+9wZaV+sjX04jOpVVExR7CqmEUneC4jc/V72hK772lGQ/bZeTw0h/DxXD+/sFUIbdwT66DsQiJ03qetWNCiT8l8ViEhncc8cyYX4bJMXIwj23GilaLxdSlYQKQyhFHl6uKSGO/Rn5xxs71knRJ1hmybWRpKVrUuNxqtsIlY+ylRpQu2xjkKJYnVu2rA20Pv2c31kiniik6kNQfwpEcqZS4XYZgyPbUhBYxq5pvJia9RtCRX8Vbl01CYsjBl5ZCVw6RWc14iKRmSytmSnFPfm9M82POO48j19ZWZyVp4b3/g2TBwJYG33rjPuocxj6TUIQrjYWC/s47R/WTE1uwyKRoWXtQ58HR8fFdZw38XXaZqBG0hMy6jR4oDqK3e7T0+M2pKsvKyuq7n6bMD//K3/ogvf/kzfPELr1jT1+B0ETVQYJHUWpzS06mOzlhHSLp4hnboibftkgYM0GrW/uzrU3WLaXMi7jwQvf2mNtDGIaqDWWjdatLOZ8usWhsPo03F8YeLWoODUVdMIkhnp13A6v9IMX8TKu6krV9mBL6aBKwu8VLHUKsc1kmU2f/VbPCFH6DBQ1lAXa3RvLrThWr7VWW2TCGqDvN5Yo/nGfAmCLQOyGimK5kUIoMfFKVkyjixPunZbNZuUkW0BEe0mZsC28PI9vYpVuddKorx10QQzTx7+phXXnuV1Z1zDrtrTmIiUbvA2DMqnh4j1sUkSCAG7xbk59GkgakE8jQ1QmP1NVoE02pjFdHmPQjBzJtc1Bo3eL0j0UwX+/YcpahxxZyrIwS6KBbVy9LqKsFcFtl4VMqQIaae1K+x9kvmuwkpHW3wy8sLxmEACVbCX5TrEviTjx/zsGRWq8SwPyAIh3FiO0am/YHPhEi3WFcz3WzqStu0C9+Oh/vMpTEjotmtoUet0sT3W73P8WaDxmj3A7+JN246iucQ6pp33vmY9z58wM999S3un/SIjnXrLBCcNouiqla0qaij7WoWjI1PtH7SD+ZP4UR/eQpCqYhh1tDGIXL3tSuXuQrCXAO5ZiEZ12JGM1T0ZASdqnipZ0p2P1BQ0CJMKuQQySEh0rX6QebgrualtBK/ecqUMi60eOU0+TOEeZY0L++hrdeZnehhXgCs5IZUgmNVPL4gRXObk6XSmolttIWy2ub11hUzzkiq5j1KMwfMB5h8zrLzklLqLHwchTFPXkZXm0CXktkeBnY+D5WDhsqsctWoAfbF0TogRximiSdPnvLZz76NlsKYD5xKmM29qqKLVR0o6mkSmM8tBuuKU0Jom3IcJ3PQB7HStMWihLn4hnD5MGUVKGrjWHdegqQ66p3GohhDmtShGtAMwzSSs5fMAWdkR1BrVT/myZoqSCS6Yzv1yQsA1g1k8nR1dcXVxSX1YLIUPGNUF4T3nlxy93TN42cXbDan3IyZ089/kXufT0zf/iukYHmfUii1AUcLEM3sI0EWa++omXqI+kqJNDmpJ8rRZl/4XVsp7yp4KguF1W7Q7hO7nnFS/uzbH/DW/Q2vv7KxlWj1xereFlSMUhE023ob9d1/75VcCbax1HiMrVRTO4hfDkp9KiUlzvgVrWF7F5jlHPny2Qkb5uRdjwTNNY61adaqaEyFeVKup2uoCtspUCQaC7gpJn+vmyatCgHKNBy8/rWZQzElXydpvJTloNWgRz0q/HuVrNYkYRzHuYtGCEeKxu4zK5U2DwuksCz9W4FxyeoztVBgsycVMOVoikMc9RWCKEmoXjFfGvvXqutYrTeMmiFk4wBNE/v9jfl+xFalbQvPtax13G9ffd9TgGEcefjoMV/78he5ev9H3JHCSiJB6hi0pdiIFus+nCLdKrlZ4PMTMyRTtGYi4k1J8ZrmwRzwUskriuhcydKLqfrZonPhPPFuNuAlg7NtUD9ExRutKhbJm7QwqLAvIH2PxK7JSK0hXtdru93y9MnTea29dZlFiQOESC7Kk+s9D59e8o1X3ySnxHXo+fDjp7yZi/f+yxR3PJv7wh5kmbd6LJTFWSdztqhWhMtsxDy3bKEGCKrjvULlevv6iYVftyIel4lAz8OnAxcXj7h/54RcxEizKgipIbqFHl+MuyoxNaqjztHxBhY/Qd4+6Xp5JdUiVfVPZRgew7ZFPnD1jc6RshffuIq5f1AoGZTIRGSXC0QrKCbRNlUoXpLUP29F5oxhnHMhhY71ZkOUaMm8tcNFG+TyseZZtsm0tAARS7wtTsRcVtq0zii1nMqCgLeYKiNOumKl2t+mtEou3hLcfGsNui8nUsMsZEFmM0CLhd8BdZRXSw8HCQzDxM0wogKHcc9+N9h4F8+oMmfYU5X24qpK4zAMzTd02O95/OwZd++/ys3VYzaxRnZnvFyhf4yBVd+RUjQfmXrErmSGPFmX42zqNwRb75wtX65oaQrFxmHzHlNw1G1jj8HSVyQJ+3H0lulQQWcE75oy1zCqytwKGEYGgLgmpJ4QzdxseaiqbLdbnjx+Yp+fxdP/rhvbfldEeP/9h3z1y18npMRffvcd1iXxduhYJ4hqvLNQ0c+8AlT6QZWd+fLqFbKQUXWjrXqql0iJOh7XSLqg1fj6VN/xsu5TjVyrD0BkgiCMZcVHj/dsNtialAIam7xVsLHYisdDWVz6if/42denaA5aGEUIkqwTcP22Zl/WV3zRENtkFk6AYnlCNUevnubWzntiKsaVyaqI9Gjo2WW1Gjmuss0cC2jpQDPKBJIZDgMlQ0qJ1XpDkGRQ3JuL2rVYvBdNocJcR91rfqr7dqh1dkywincXbhG7JXXWUV7yDrYmkF4vCTWfTFEjHlclV9GYLkw9qS5gG3NQq4MkGtBpYBRB1lB0NBgtSrdJPHn6jMN+z5BhdGVl+XK6OPWqZ22OgB4pbk90HSYjXwZJaIEHHz7i/MufZy8dBymceTXWilqyWI9BFaXvEyfrjVEyyFY9M8AhD9zkiTIpnQYz4bOhHdXSuFTWDktBTEEZIyEjJFLoiMFoAZoz5JGg4qTTMtdpV+i7joxymDIMmSyZgcJOA6XbIKn3ZGYlBNsOWpTt1TVPnz0xx7svbC2lY9Vo69oaMUZK4cnTC77//XdIMbHqVuhuz14mTkNk7hlTP1dtjll2qqvB0Lf1bDQc1Y6x+sYj0W0vOWG1ieLCbdBsnMXBsrxH3RmVyFzcupPQcXMYSaWQq0vEU2go0FreF23fOX9PNckzWfPySXkegn3y9akrcy4vufXaPLBPwEwL7W3/nTehYM7VZzcHhgmkT4TUGWLzE9BxiCc3ZnIZmSYrGbvZrFtX1pJrdUibQDuNxHXRPJm3aQ4N/cnt8c6AQ8QJlrU7hkerii9SkOD5TJDL1N5TfVCleNSkEuSoHCo9nrdGzRcoMxLtFTYhcePF94DW7+7s9JzDfmA4jIzFzJGG4qWOf5795XO1N8H8vQ0lWpF/VPng40d84bNv8OzxB5ydRToEQiCKEqOZ1pXHE1OiT8bhyk5rXvc9pSiHklukrZRascJGVLk+I6aoopjjfL1a0fcdXUqsOmuoMWU3+RvoFPeZWtmY1CWGaaRoYUwdQ4aLaeRigrDqG9qqpsk4jlw8e8Zhf1iolDo91Yxy2a0+Hg+UaFG+/Z3v8dpnPkMg0MXAmDN9KdaMxNNdpUaNFodSW4y2G3Sek1oobwFVZDGO6vtsPQ4XMj5XUz3+jqOryWH7hraXFQixIxMY8ha0EJzFX224xcgAd0Usv7NeVaQ/aRyfcP1PS4tpE/sJ36QcK4A2twvDdHGvookCPLrYsaODqCSxAv015FpHUDxCNw4DIoFVf2pFufx2pVR/xlxdvfbXa36OhWAc/bx8NGZF1oicHH/O4o9WB7sWdLv1cBSteWrFEzDF8xVtxZamYuUsiZi5iARCSDZqPwGTKrlMDDW6WgVGlcNh4qOPPraCd2EOc5u6mU3e5Si1fuFiLma+WL3DjOputns+fnzJ3f6M6zLw9klHVFPGEYz+QKALVqOq65LlhZVClzv6kpnGkYER029CSpbw29bJ03kKgDvC194PsJl60WqZo1b5oHilzi4lQrSIb9dHH3VBTtZsr0ce7jJPx4T0K/NvOgoopXB1tWW73ZoMhXowhJnE7JDz6DBRQ542ZZE8wfXTJ3z9l77JxbMtebDid+ugbIt6KaH6UUfwt7ZR40SJ+iE9I2v7/TFzW9vrL5LBhXKtb+JY7hstZyEZy6qaqPXnS6sNZUrkcaSUEU9fbzJUk59zu9fxWJb3f8EwP/H6FI0YTGiCDwgWPekWnVxibY+gltSp4paGb3Yr02tvEanMVuGgym5StBPGaaBIZiU2RBUHxaUwjBOKmYFdtFZIVZxqZGhGaJWxC+oKr/kUWERJZDaAqlmGzqbYMe1A3Bdj0Z1ZeR9hktmkVVNUuRRj47eIolDDwk39HQmZkELyefat5qkk5ovpsPo8UCarmfW97/+QYTi4+8phvdbv8g7UWtW1LhKXZx9FUAt4AIuEocpcBpg47HZM/Ss8zsIrEngtWX/azpOCKdDFRNclS8SVFVZx0wMnRRFJXN3sTXHHZI5vscYFWiK5jGixkiGqhTwp0imrJKx684uIRlr/jxK9brcQU2LVb9AEaKFLwtUofPzwMR/vCtqdmqnipiVl4vLygu3N3srkxnqYSpuHOdJaK1iYaameUylVbgjkqaDDAIeRrIlp2pM6S8q3tuc1+PJiWNEOR63RXmjBB51T2W9/Zvk3GO/t2KqZ98axr2r5ltm4nWXZD2SJSArE2JOnkWncQ7FIsmlyowdZpRJF1Jn2vhUFI1lnKl/r37a55ze1sLaVulqe00dJkZSmHhTjA9nDLu9Vfw8E8Q4eGXSg611Hq3rWnT9gtiJnad1bBUFHEMcnSDVmqgKwaMrM3Z4vWWh/qlFe/2pCdLxoqjz/GsdBAV34RioNwPR6PTYXI1lG/vJM7OuS9VfL2X1pYk8USqEPkKcBSZ0dFTkzDAemnJuJaw5vcT1dTd32pTbqmhHsczH7x2hYVGtIDZofZr+7oZzfhZNzHuz3vPbKmrvRE3/rvYGuT6z6nhACY23dreoRugREwv7AYRgpYso4+AGRve6WldaBlCJdivRdx7rvrYhfAhmVEBOySo7KhL7vSLEzK4nAdhL+7Mcf8pdPRzStvVxMJkRrNnp9ecFh2BmlJVTiIU0ptfUWmrzU181/VJ/YUPx2VP7wu9/nrVfe5F4IaFbIisgsa0eWyYsuvSVfskytqsjpeUUz/3umN1QU/vwOWHxdQ8+zfp7Nv3kcdaOktKJPPePhhsNhS2yMHjtSa6Bnjl7PuL7K2ctafJ+izbqB/yBC1olAtIIRXphdoimMQnaQEA0BeQg5LEy9JXwurtKmnJnyaAmawZsdFChRW0QxKJah7vZubQRZUVFNYmzKkYhYzgXC3F33uQVCj6RmhuPPK6Cjn7U6jjO1EkT1CdRcRcTRSTDIbrovuEP5+I7Vp2YOZFfzUo21Qp5GL8Ububsyk+ZqnDgMO1Rrjltopmi1JdreaAeJMHd4XmxCcHToyJSKPLVaRVQFuBtuePOtt7h68oz3rjNvvXWHUw6AEmsPPbGNGaMFRYInlFt9eWv9HUIkhj3o3qJHyTbjVILTJqKXCAYJQpcS676n7xKSrBU6QahddlerFTGtmHIhhMDHN8pv/tn3+e6TPfTnBCZKHgFrd3Vzc2NVFII1K7V7CbVJ7HFi72wqzSk7x5IhYvK+HSYudje8uuqav7K4CUk9tG5dt/lP7fWF/1QW67m8GkeQuRBlVVBH6Wk8r9yW9741oCYj7T1VZtRq3sb1hlVKDLsdWiYr1URyRTWbqK3MuMQWGHnZ61PUOHclk9XgsCx3tbh5VDVnfXB7S6XQV/Kjip+oWORHpLBZ92w21onW3i5traoSqZu4ZnnX9wlqdjPusKvozqZlMVE8p6O05YG84Jnr35/w+8pzsvfWTU9zki/Te+q7b/vAbp+pZVEEr43DBSQFu8uQlV5gOuzYH4b5dJdbz+gTWBO47T1LQQwNCSxfE9FWjZTjoVAJlFfXV6QUoEu8fyi8vsv86pt3SXmHpuhmkFctCIEUV0bYVK+FHjpC3BEPtX+eMpUDmpWpWPG7ycdQ213FlOhXvTnQuw6isI7mJLea6NEQlEQeXkx8692H/NGPPuKyRENQmp1acUAi3Ox2DIeh1aVaVpktoi2/cg7e6myuN+9AlTfzUAoF8c05TANDJ4j7vrLUA6/KrE9uS9ate6LKkrZ7V+TRZKOt5VJRGkgwM6/imFk2b6P9ZR24ZR2ro9pt9TuRmslmY6/ToILENf2mZzhcMU57Upjvpcx72cRx5lG+rGPqpZVUAYI7/kK1j2U+c6uXn4XJAFgRsFDDkM6AFgyKZ4vcqPbcHCZi6ol1Ihqc0SY82ScomEfVJrRtxDrDgTndxc1M/52i3vTy1nXrANFbLytLRaXtr1sHHuq8lnLrO0SWwee6bMuUH1+05jCrjtj6XXZCJqwgGV1kmyf2uXoYQquooIu5CLcjmCKzkDRTYK761Z5j1rfzTIg30vChHg4j3/7Ot3nllfvEkPjzj3a8ee+Mb945J8ZM6iD0eEFVIaaeoMKqV0bZc6KhKfJhCnQpEcNg+XelsvGN+hHFmrR2Yj49SUJIiX69InUdBWXSyfyj/YqLqeO/+9af8JcPLxg1EPtkjHRRq/qAsr3ZcTgcLAJYqQeLubKW9MvAyRKJzHMVpCp6z5zQ2NY0Z4tihvWKXoNnQnifQu/yAzMyar7EOvmuuKo8tTEsDxs1+ao1m6i8wMV7Zh/tsaBXZBQ8Ulf9bNUFIUgDQwJOE9H2WRMb700YA+v1GdOYmIYRmKj124ymI21eah2zl8VSL6+kpPZ00+dMBIqiFSbXq6KrhY1syscUhdXFzoTQcXmVubiZvBuwDd5KUywIb4AXA7XKf0dbyyeunkZHMNy9BUekw0++lgXpXub121d+AU/l+Oc6fzaaOVwMUaKF6ivGWpgSUbzkbgrsGLnOHdfjRAzRa5mbSdQ+LzOWVFVrRUbNZTx6MJYv3E5ctb/NnLLa5xlDv3B1fcXhsOeVe69QTu7yO99/wKu/+mU+vy70ZWIaMycbc6Cn1CGhowK9yGRF6saJKNbEIUUYp0KfoNAzTpEgkx1cxRjYFNtEq82afrUmdsmItqqwPuOdBwf+y3/+Wzw5JC5v9kwCw7MndKnn9PyM7c2Ww+FA6AL9aoWW4jW75s1NWeiKBmGWh1dFpnMV1Qp1QlEbo0LJmV2O7NUPa8XMybC4oQbQ2FD1MqJsr+hzsrf8dwjBa5yH5shvaWBHy2z7s6ZiSZWPhvSNFlMWyFlxUZSjV3wOKuIzRRQkILEnSCSlzH53yTCN1CYTsShZjkXvp/nIltenoCCY2bBEGULlpVSYvFAC1Q5ePFbNHRIxJTQRudoXHl7uib0RNLPMdnlgnlxUW81w49E46aQC2lbTapam2Ya+NbbnH24e4k+Zt2WI/nZkQuEIpVVQ2xBfXSCdf097DhudJUAr1WR0A9FLWAu5FA6lsBflahyNze0Rs2q2BQm0bsOIZa5L5fSYj2jJOpamNvTouRp6qONpY18KrAn902fPuBsjkRX/9R//kP/9r3yVr5wkYoRpGomhQ0IhJTg5P2O1XrPf7+k2G4rA7nDgMArrPnmajKGiJIFRhSGP9F4L3czCwjAOhBSZyKxPTpniPf7J/++P+P1v/QAlcDVZ/acJWG9WHHYDDx8+InbGnapmTXAlb0EH8ef2apV1vZv1cuwrOFJkSznxz5SiaIhcjwfwBOYiZY7aVYSxEM4jxHZrEx/JX0XJ/oXmjA7NT3v70lvQZclPrNbQsf91NtmOAF57VuMv1sHXiLCBssj69C7jsGa7fWa1+N0XpYvD82Wx1EsrqVzsBDCzwwXZ80daylkNX8qiXVMlvPlOLQtB3xfl/ScXaDppoVUt2VGub5z52StfzxfGxjJXJ4w+0mP04vX5PLQ+K5EQop2Yy4lq1tXLAlF78JY3WMypPX9/Ne6s4ag6OjSdXlnFC7TDXMfVHKChjacUJUfhYiwMiDWNQIkKWZQJj7hKIGjwudHqz3fm/EyKbcqT4JvGHf1Nec4gq0YoW/uiNl3WlBTJPH38kPjG6xTp+e+/9SP+01/7BT6/VlJtrICQy4EsHSFFQpfoY+D87NTqyqvVVaeItU0fD6QApQj7UpiS14xSpeSR7W4LImzuvcKPrgr/xb/4l3zn3cckLfQrIXdQDkqMkf3ugKjQ9b2Fy1XpCITYtQqXIUDJeAVNS1eqGQbZMoQtUdhKbdhaBgiaZnNKlSKZ7Jy5rihhVCYyuS9ujWgjc1ZZUbFa6Ua+9TWvR9wtBNVEtZldVaaNT1Vc3lt9qaZrTCGaMpN5DwBZJ6xF0UKyq59MlBdZEEEsFWhuulCT031fSKBbn3B/veLJ40doGX1cptCaDL7E9alz9174+sJ8+WQQV1WVhZoHOj58ckUOa9zTPp/YUN0nC6y0vNOMDOpmO3rnLcj0vI9lfrchmopenh/9bQfjDBDreD2at4j8LMe5PDfmbwXPLnOr2CJzJdfIqBCSVRMoltDmlQKEoeuQEA0RFSBEglqH4LLw39Vvs3kS1/AvIGK0R6uO4gVaWDjw3SV8hKZkwYqfpszjx0956803eG8n/Ivvfcj/8de+QtKJPGVzsmsxVnq3JkpkOOwJXhgPhS5GhlDoU2JME+RMkkCfbAOO00QumXEcSV3iECLfeudj/j+//Sdsx46sgbubxCRKnjISAtM4WmsmFTRWrpxz0MKiq0kIiGTj8YkAXTOPAgpiAaNcYJkoA9J4gkUnUwTFsyRKZhW8HlqxAyG4RSJNOpxqgdzKVqmahhcqiSprR7+TGqSSI0mb77EgJof50K7+z2r+8dzn6suyUI71fr4HFuMIodpZoETe+MzbPHv6hJvrS7pYywfNpuLPuj5Fm/VFx5Ym2IXi50EzOZYP+IKfLXKSeHB1YDtZNcnKMK5Qt2Y22Xf44yosI4rNlOKWk3nx2xeS1aoirRGLOuk/ZcJup8dU4aiRuBqOFpaLWoX9mJTXThzc0doERb1EiDTlFJrp67Zv39GVDrJFMkvs7E5lglzfb8JtT+edB6v/RF80J7M5emv6bDWb49joHXYa6vJtlKKkrmcYBp5dXHH/1df50/ee8PUf3efvffNN1qXQ9WujDKjl2uXJS+ggnJ/fYdgNjIeRKCMpBXo3ycp+oEPYdB0nmxXTNLGfYCwrfu9P3+V3vvMTprhCgZNQ6CWxy7XW+czxEhEr5Bai1bpSWpOPeoVozVxV1dEfpJjMbJwGROwwoeYXVnQi0uZYslqna7eRJp2Q2GPnj5uS6t2XHVHbEswoyqXjaFGWTv0Xoqt6PleZq4h4cfhWE74ejHmp30Sel40XHNrzeJYUGWZEQf1MgxuM08jrb7zOzekpH330oefBCqLxufu+6PoUFIRglH6xk1mxSI+K1zSWeh44lJNbExmgTJb3sxuttIWElZHqFtFCeyyPwoVE9WMVFmFbjvHJi6byk9i0jYSn9XPPw872nqMOLjLXkEI8ADAtImdVSZvgau2/x63Fd0gfSk13AGKgaCH6ctTmo8WjQSEEm78ATMXPXl8D93uoFoK3CG/NSJvJgCnR4PSChSKdhb+efvNBYIenC72wqEFf/YGhjbcL1hzh6uqazeaU/uSE/+8f/ICvffZ1vnYnUduwSwgQsYatRY2sCpyebtjtT9le71nHxE05MA2WGrXpEuebtSmumHg4Jf7VH/wVf/XgGo0nXrZo4u7JConC1WGPpRTZClglioBEDMl5/75qTpdSq8kWbzkOUkKLqqUQCV1vjnXvqLzkJYVKe8f8h0Wt1ZcG2B0G+tNTugKhwJhKFResNZvJYmt029CRHVY1dxKvdaYvEGtb6zn/MUo0GkT1AdfbLXxZR7K++F2T/ecSn2/tKf8x364EUt0WJupNrna7A5vNKZ//4hd5990fo8VKDr3M9Tyz8RMuKWVOYCyladJZVzgKcgKfDdy53lpQyQQCWXvef7IlS0eNDhih00+nhc7Q+YfjmcF61GktUvdiZX90VXhaw6xLSkGFq23DLsZQvzFodUTXzy/e4yjKTC0T1FZ3ylHKknti32rF7RHv3Iu0siTCTH4NMTaElWKyn0MkJiM5KqWlclTyYZBa+8pVSrAmjtHR8FwXa1ag9Wf78/whYIiq+J/5oKjPPmVr61608OzZMw7jxLMp8F/8zre4zIEh7zgMNxZoKZEQErkU1us1hWINAARSlxAyqxTNf6dK1xmyWvXnbOM533428oMne6RfoWKJ5uug5KJ8eLUnh9Q2u3iV0JRSK5JoBGNb6+LRvSCWUxndp7ecJ/tj44kxzn9CIKVk5YZjok8dfdfT9T2x60h9YF8mtsPAmK2ZRShxMbMue1KdBhWV086LnyXfMwdv/h+zaC4OyflbzQ1A9XLMcnn7vG5681hO6v2rE1y8/tbsjLf4reixi3y334MKX//618G7Db3M9dJIKgGh+EkctDl8hVnzm6ViIc7gvc0sv2yCogRWPL4ZuNwVUh+9+Fn0h1UvmhZc2RWsiaQstH+gNuwRyVSWxzwNx9dRFESPSQvNKf2CZzWQ5Z+t6KEhOD1ScCEEcs5E8bpRVVGz2PReB6mFgSkzJWIRhZNm19q8RveZVDOynXbR8yHdT1J5+yKz8qkne2Oxv8CgrfczHttScc8CeeRrILTflvY8bjYVRZPlUR4OBx4/e8r9+/f5sw8u+L3vfch/8De+RB73jIeBEBLjODDsD+xudqw3K6ZxsHV3B3YXAmfrRDzv6EIgpp73t/Akdfzw0RUjndNhzHe1CoFSIpMrv2EwDlSIVpVCJBCSY30RNJfZVBNxVrxBWwMhx+ZVDLHNYJ0vM9lqfXRcLgPaQR4jWUeGKfPD7ZZus0EXJ/C82WuGRA1aLA+z5RafV6atUlUMOn+illrBzbwqx7evo0O1retSkVXTUNocHMmOK6j4QgQ45wzWCr32fqt3Vkrhy1/6Cj985wfPjetF18v7pFx5iH+hRUUq+avNrSkC7/IrWiih+ozgoPDx0ytSXCOVz+MTWTdVOzncPJnp6jAnDNsKiJuV2ibV31u97ipoeL4DrL2tGnouOG0Is8nTmhpK7cxcQ7V1AZyjIrHCpfbZ+tNsDtaJlIXT330Fi4qcM+xe+Lzmj0IMlqAL1q48mFM2dR1zdJV5oXw0JZQGy0UX0RWZld/8/b40KrOfSyuxb1nmebEypVhUMVo4//r6gvUqcX52xj/7w+/wy1/7LK+tEtuLC9J6RX9yyvp0Q9HRWrmrpc90XYcSGMctp6vE5mTDvgS+/7TwV0+f8NZXvsL1zY6UIlOxGtzrELjbrXi6H8gClEzf944qI8bxCi1yh1r5kXqgVn8isiCsIkecN0WJRM9Q8M+I0KXOKm/6XhCi0W5jRy4jeTVxcXPDed+TxA55k90q/guir9Z9JPMfKVCyyXfVB/V3VTmFhXwvCKgNjeEEzQVuat5jVSq3xyR7Ts06Nv2PFd1Rx5sjxzHMkfZY3+ympx3EOVvw47Nvv83LXC+tpCYJJFcIUWtsyh9MoPop6mFRcAUFprRUeHBxzaFgpklVSKKtMP0SLQQJaDYzIIS57DDNfl9aqjILGgs/i3LMXboFWVmom4pWqvKaWb5QTdKqg1rQV2boruQ5AWe5i6UqQn+fjy005KWz6dy+by40U02Chri0Oj7rc5jvpSzoFNUnVaNTVRGGasrozK3KXmalzkl7bv+eGh1sc6fzZp/9WR7hzNnMKgypXD694HR1yrOY+Kf/+k/4P//7f5vN2alh4WFiv71hGkfGqTCO2YrfIQz7AxoSq3XHZn2Hb793xe+/95TXPvsWVzdb9ocDBE/9UHglrVjTcZN3TMkQaM3BC9HMNARiiKBifwMTFtE096FtzFL1QyNI1o0HksxHWnJBfJ4qWpsPp+hujkAK1s04rDd0ofd3LCkcs+z5V1ZJZUYEHu5fsiylHtR1By7kq/7v9sG89CuJYG2ffO30FsZeNu+rh34dq1d8qOPX2glpEUwRCjWKuER9VZkJwjROzym+T7pe2ic1qXqBMo6Ec9a2htVD9UMFy1Wqr++mwINnezR0Xk0yN2+UPaPdM+fcNkqtIjBNE9M0HSmOUswHkXUuBTMrJzNuikwvjIocvffW1aJ2pmYb0qhK1PhCPmr3v7WgtFa09eKr+kBgISyL3y2vpjTl+PNLX9In/Vzv/6L3mOkjzWd27Is6/lPX1f5t/pooFbPWZO55qzXFJiASKVm5eHbJKD1//KOHfPvDJ4xBGKeJx48ekIsioWMaJ25utpZGsp8oOnHSRWJa82ePb/jjj64Z44pXX7nDxfbK0qq8/E3UQg9cDwM5xdZCPsaFH2oxHzHGNvdRrExQF5PF1qrPbuF7Sin5625KByFEM7lTN/unJIjRGAKEpEiHtVqOEWJnnCKpJUxocrxc8eXhaeterZR4/P7l7ueTZeinvS63fj+/x/3NCnOAxP4Kt3xPt+9fgUR1W8hS7fovWqhKKvniZ1+fqlRLNaOyDz60ssG1RoK0QRYKoZpUkvjwwvKopIjZ5jI/pm3eWkPcsYs75yeH3CFUR1uZKyLW2WunSruhKReZGdQ1ZDwD2OXbjxVZxQbzhg+LhVs4KJWjcehS58us2JY+gfpZQyOuBKD5jepmUnVEtBjsTEng6J4VVQXvBbh0QVRCoj1jfZFWPmfpbK3+s4YawZNrpf4wP087IkG9nLSodegJMZrZJcr1zQXdtqPb9PzX/+qPefMf/zpnUug2PRDJN5lnT55xcXVBngKHw0jXdcTVhh9u4V//6BFTd8JJgpNNx8XFMwsUIIQirMWiy89KpgQrTxPEqjBUuzVEaR1glBl5hGBovVJfbvtuGn5YNsiwOjMW1YuuuOxbaAGjyruzSUXV0sqkTv7R91T3QUVijkD8oKzkR9v0x4iJxScbBeg5fSTIbYE33OsieiuK194bfEja5G2uZFWj2Lg+PbZQ2j114YrxW4ss0OkLfGUvul4+uqfFI04BNIEmisNaUSEUH4x473dXFIgyTcLjy71XUihQkhe/E1NajqDGPHruGUeoaokgrG9abdleI43VtLMmB1YmpWqQpalFIzXe/iMlICUQnLsxKy0/WUQQiUTpSCRrCe7iOd9G5z/QBL+ZeCEQY6La/eaybEVwjpBQC7/U+Xc0Q01SdfE8PsUCMSTm5ppLFJWsMYTn780tp6yTbRDrW5gkkiRaGFtAybPCddsjROMadaHz+waEZOzrSdDsJkpQNMKzZ48Zi/LOo2t+989/TKZnmpQ8Dmyvr5myEEPPfnewdSfwo+3E77/3mEO/QaXw+qt3OQwHxnEgBjO5QoGzEtAS2ItCFCRY1BMRvK7N3C3aZorWGFVnDthz+2WxltYUxreiLlBqOzRsHaM30K1GhuhM0rAoHjYmCYhEO+SVtvGbLAosswOss8wsJ/b+BdrH0H9eBD+q/7GVbml7QP19Za41Bm2fWY15ZrS2VHot5UPmfVGRtMsbUsM4OpvOiw+3lz7BknnR9fJpMShBLStd/FQ27S0t/ahpWPDyqyAl8OBiyyG7E1wUXPCr7VyyzhNcCiId3lCEkkuD6Euf1dGlMzdjmUl+5EynmvgVUZggC36ihkzJi2xzjmFyUwZ4jhe0kxqRnzrhy+hZ0cnSEfzkqxGmn/b5ZoI5/BQRTyae/SZG35i5V9X8qt+vamhCnSRaUVvJ2qgKIu5rVJy9PitsdbjfxhlsyyT347QmVBXVpUgeDigwaeHBsyd85tVX+Nd/9g5ff/s1zmUgBWF3ODCMmYuLG7bbHanvuMmRb330lKdZIBYohTdefZ2L6wuIPdMkCImVTrzSr3gw7JGUCI45ZrrHAgAt0azM9ARDgrcMr+VhwcKMac0ivH+h17k6sgraN38CUqiariiq2ZXjcqT1bY6qxGW7oZl2ZrT3oeogoeHyhtaU5+VKFs+k0rbLwoUzo0B8T1eUpe3z89PCfJ7WOrkzbD+2Bpaj+LeupAqmqCJKqL3gfAqKhhmKBp9Mn/ehwIdPr4DembYzQrBea058Wyig5drOjuJZOGan8eKRj1jdL2KPH6eEGPoyYbQmiovGoPI8wGyh/aJzMbSF7Xg7VLs0u8otxVB5WiKhlaI9WsjFfY+uCumbUpuFO8ZIGV3xaPESS2ExLotWhRCsplO0SJWV58XrRzk9Am15z/XzIcaGTEUwT32xyJM9w2yMTHmyiJS46RgD17sbrq7XrM43/Ms/+Db/6Fd/EdGJm93AZrPhmVwAgZuD8v2bPQ/3Vn0VDaQYePrsmo8fP6EQESJ5HDhB6IJYMblg/qUgAtXEldmUnhVXXTA/PLxTzTzxx++fo63MSLah09DoMyDMtQyOQchtWVVnnLfDro6rmvrtsBdU565Ey8BILWkM6hFmQ07qBSPrly8Vz3PiZPDY1s8POztMPT1L4aiBrr82o6GK+up+su+KC19lITaFZTJS+ZXLaONPvz5FFQQ7jYtabekaxVM1WBcxHpUGYzJl5wY9utixHcXlRilhjpLlbL3ylhq1ACE5z8Lv0RyywSeuBC/ZvYwG0rRCVVitXo9v6ooYWr2nVrfp+F7LywiFJgDNhmu4wReuVGTFkTxU+9vjnjiOA+r3GJi/dQzXc9gPAH8+pb23mXs+NyHI3CZL1c0v/L32zUUhtuaswUwdR7IEV36YMhM3O0LAUzycClEq2dYRMPOhom4G2NzWcLwrSRUIiadXF9w73fDd9x/x+ivv8Uuvn7Narbl69pQuWtnfj64L710P5LgywFHMqPn+uz8mdZ03qSykoNwJHfsysQ80ompdk3qCm2JZmCTE2XFdqmrxZHadZgRy+5SvmQL+Bc236NQU47RHW8KA0W9m3HGkJsQ3bq3O2qofaX3ncgMf+wxnoav+q3rAzQTjObI2K4vlM1XZMz9Z/V9oAzGXie+XxTxUNlUFUUvX5PI6QpPLz9y6XtYn9Sl4UjMyqCK9BIe1H5njZ0SVopEPH1+iMXqJirlg3pSPI3b1in4SjDm7c9e5G9YUyLISvDnh8qr5ULZx59NyMUL77PKDtxDL7LR+XlktX5MwV1+op9zynFY5Dl9XxbRc2NvmxOIfjuRMJEKr5ngMn7UcEzHr+J83XWxUIVgDTjD/Sv156ayv92j2OxBTQPw0L0XNxsRQCjkjruCCWN5OkNlH2MagmCNbM9vLKzbnJ/zJO+/z2vpL3E+Fm92em/2B3K15NF0zxjQrc8TWM3aUbNbfkEfOA3QRLsoEXSQ4g1kdworULAFXVBUNNbmwp5+V7IJbNL+zrV6To+X0Kt6DchHRFVlsz3nNZL5dUyzlSADl6Gtvy9VSTg2JV1mrStU/7s05/B9HMnH888JX1ayQ4EjUAEQuOpdiokr3vLfavOg8S/a7ZZK6P43UO4Q2NS8yRV90vbySWvxRfIJNoVu7bZ90cVMwqvDsZuTpbiJ0pvPNoW4Qu3YEvn0FD3VPOjmT2U4886ebqZTVyG1LpdLGKXMrpzpLlRRZbes54gW3td2L+CWqNKegLCGr3b4hHbMh7LuzLmkOS1NWjsaxnIPls0RXTq1BV80jlNk0qONdCuH8bEtqh89tLT2CN3gUPB/xWDmH4KRFvIhfRakBRx2CFuvGKyWTzSNs8ySx4kPwCFJAOFuvOVlvyPsbDodMmQJ/8sMH/LW3Tgldz7OLHU8vr/jwauCaRBZLFbJuO4BEci7oONJ1wnmI7Ji4CIJxfnwOq9Nc1ekSFh2bkUmDG4vzvUYz51eqfJmLoSqoeZ6bYq8mT7Eggc2EzGiuomZvkFHKMdGy/l7bGI5Ei6WCa2strqio6+FjMuh59NlmIt5SVrUksy1TfWrv/tRMvzz3kwzzwVkj4Cye0WS8jrwxBtuhbZFHM8dn0/V/BiVVF7Hdvip/dVpBpSAWQTTx4PEzRJINWutmm5im3BJLfdZmP1PwhGWEkkdrVx5N6RVXNM308s0jsuAf1URcFk48ZuRSS63afl+Eg+X5xcSfU4L6ppaG7uyXQhSoLOxYqyMuxhgkuFO/nkh1HLO5seSKOfSxJImaEC0gi9bWyIzOmrCoVeWsjULDkr4gddMFN9mqsNhAzGcmSIje6NijWlTlXNuXOc/FzT6thxTQAQdRVJJVXZ0GBOhWPWebDaerlTU+0MKTq2vu3b3Lu9cjp09u6Nnz5FAYDvDv/O2/RTk/Y9TCfpgYDyOXl9dc3ey42d6Q9wPoyHrM7LIwqbUwR6L716zCZpBovik1qRVXwDNTpRrg89q3VV+CAqmyDQRt6zpHYd2JHmv9LnPfF49+1SBGcEVuq53bhn6R/7MK93MHYpPPef9VM71d1u2iyRgi7aBq+6YwWz1tJqqgqJ+1gk7eaLcdwC6AwWRgJn1WGLccv1bBO5rtlga0BJo/4/pUSipgBLjgEPmodEplNsdICIH9CI+uBlNSWc3EKMqUJ69AOSfh1pbss2Pcob4vyJQzSQs5l9ZLzNIb1DcYR/W863m4TGC0k6Z2aQnPdwLh1nurY7Q5wmv1geV7ggtSpqDkPPrvnJrxguYHLWpTkQ6FIDV/S46E0DaXQ3kJVkZX7DNHLGFfcBHxDiumqGKILJVuKdafT8QblC5Y05pLE6Tqs4AamcymgL29lnhjTiUhEkhZHSlb8DlqoV/1bDanlKxcb2+8nlLhzskZN1fXPL68YIx3+f6zkc++cpcn26e8vlrz9bc/w8kbr3KTR+jW/PjDj/j5b36Ntz7zKh9+8ICoHVcffsCf/Q//houcDfXhcuDO5ODVFtzr1jarHXLzOrSVb9p/XquwVB4S2vvE1zcEV0rN6HF1oUYwVmid7SNikdW6l2cH1C0/UUUci3V90aVmyi5zAVmga15AUZEmW851Krkh62Mm0owqY7QE71K84xO1b2Q9HNV1mtRvsAPWWehSkfrykoVr5hMf8Pj6VD6psFBQS0pA1ZhmPRnb/NHVDbtJCQmv3Dln+c+txn1aFqZRzhMxLkLdzg2pyKuU2g1Dm+uk6EyjLFqa38smamHK1DS0cgzfYVZStyM7y/vU15ZpOi2Uv2g97SqBY8FpXwQsN8uLJnvx9vlwa5/Xxfy3ty8219J/dvsZqt9OxNjXrR52CHPxNi9jXKODVuqkVqy0KGGMkYIhrMxE0RG0cNJ1fOlzn6cAjy6vePjxI8acudlfWJurkEjrnquLS06mMz7eFlR3rHJks1kRAlw+fcbVMPKHf/E9/vKdH/G5z73N3/zFr5F3A2ebU559/x3yMHFAHDnkVurEkN8t81p8zh3V/ExfyGL+W9mbdljRAjBV5gtq5PAm0rZI4iawSl34hQlERUELeVt+/08ZYkW09TOzbDj6dRkoR5+Z5X5++4InNkOeo++pjP2SjXsYk825ttZ1dawVNekC/bvy0rpPPvmZftr10mROY+0qVF+GQ7w5638+IXJWHjy79APITZACeTLKgc5Hii1iKa0KQHPoKe4c9gk4iq4tr5mfU4AaRl0qp/qnlEwuEwVLyal5bUULt6/ZqQiWXGtiVU+f2YcTKMWiRsGpmRWFBbFXltGgZWG6Go045hLfGkf7o4s/cmwmVFT73KE1/6/O3W1hqQhzMZNt/FREWZns3gEypuSvOxk0WA/G8xD42hfe5uzshN1hb5U0vctzKco0FR4+ecL+cCB1iavrK4YpsL0ZOe0Sr779BrsYeHyT+b0//jY/+tF7rGPPhx884P0PHiIofVDy9Y6JwIBtHm+/Ms8Dpkjk6IzwDSPS5uG2srI9ZginFAvcNGc8M6WjES1vH2KVdKTZZUWIwY02zfY5UY67qOk8lqrHdDZbZxl0xOIHcPPztPVVH1duROflZbLe2GzPyVn1d972yZrYmHmWi/uJHRTI7Vv5XNnv6liriTeP6WWjevV6eSQVxW1SI/mJoyN7OJ8qMeLezUG4uNwjaUX1B5Rp7l9f0z0q8kJrr7LQNlo9GRvEXsBDVS8P6/4Cd8vjEOHIjBFxBSPc6qKxcLq3Qnby/ARKi7MRJM4JuVSHaaG66isDWMEJr/Z6XKSrWDE/5vFWM6FeC3R0dMouTIMQIkWz+UHy7CsSqmnoG7HM/K5ZcGclZyaSvbexhXOF6tKY683J33wdhohEhEknq1keVpyOA3p9zT5EJCaubw4UrFJDDqCaKQqXVzesU4JQODvt6ELHSYys773GX/z4I771Z99mNQx8pesZyHw4ZP7ie99n89e+SRoGhv3IQQMShRRCS9bA/zubq/o8kq0yF6qSkraeiHekUbHECmZqhjXGjZ7NkJkDQf59btq0ipVUsqgcKToN9VBYJpXXz9iB1p7G0ezx6VMP1dJkpKJz84nR1qhJmWpTqjWAFF7oCzu2PHwqLFmbQJkyWUMzJuuotKoGH4/RZTxgIeaXqyDuKEr+HOB48fXySkrEe7v5REhNP7QHEMSVkPDkcs9oufCEEJhKsZSXNrnOuF5o4srtoE2mb7SFZp+mqSV8+iNTd6Z9tXLb1LFyKjNhrznYXfRqmPa2glqaC35zcllwmgQ/Mf208GO7ujsrALSrOsbb2+3fdbEqaLvlsEctNSgl6wg7o7saQHDl6qiTW89QBfFoTlALbDjnJ4Sw8GPNzQeepzJ4xUpHvyGZqUiwDT1pIpeJ8fKG7vSMYZqYxoleAp1mJMChGPFXUfY5c7a5Sx97zmMkdT1/8oMf8/0PH/GqZr64WXOuSi5CTpHvb/f85IOn3Hv1PjeHgb1AiAkQghqTH+G5dTx6Bp/Y+QC8/Utmq6WugzD7iPz3tzf40cazk2h+/WgOX6Qwb61N+/5jlHYUxa2yW3WwH0os8vxmmXveZXH7vrdfX9YWWz6XikV7Q5zVhgFPDxZRk/1NCYe6P1/0zC+poODTJBjjm7BNyiLShswRAOl48PiRUS9EySWTp+y90YxPEIIsFJUu1qPh3VYNEcZ2Epjz0Z2krdi7ts/WhazVFNvIK6kyLErEgKsTu0WrL84M6y2NxO8R1ISv2tlVC3kenKrY5m9C5qH6xal+7EVw9FU94xW2L94jQqu1vSz7G7TO/5xyY73jaLmPzTSpprWbC6asBVFzLudiiqks/RJ1NFI3QjVx5jmd3JmeQiLnEenXFuQY95x3HcPlJQKcpcQqZ8JkpXvGbJFDup6TO3fpJXAWAiUlfvDRA0KBN9drVrsbUoz0Gni1W/GToHz40UNeudhSQuRQatFDP8FrJdQF4pQjGWjQ3SKupWY/zIq/vW92tNi93ZQrxapiHIndYsmW1WqXZOeq2GY0U10bs7N5vqku0OB8j6V5Wj/3vG9t6eKYo3d1Pe2+i7er+/BmQHmkDI/vbPcYp4mYAl2MHtTxQIFk1NnWZrp6pF9DW6cm5S5XL/qeF10vX5kzWm6UJQlJS550IrkNKASubzLXu4m07sgyWkSvVL+RYv6DCmF9g5birGZcEYYaL/OHK454aAmfszPy1okljnj8CgFPwoSi86kQJFpScTOPZlOwosMGo73ML84+Z/7qhdIyQTb1E5qzsC5W0+EOz5uCbEsHlV+iagxm69OGH+d1sywgvc4nseoMAZrfLLoiXNSIonZDqcUCnZAdQqQUmwf830szoXZhrpHXRnFQPzyAEgIHMinDfntwX5blnW2CMGmgiDICfdcjEugonETh7c+9zpP7J7zzwx9zlQ+8vjpBFZ5NhfeudqQOvvj6PfqrkWcCY7SDQ53ZvWwlpmJzblIWGso0sFHX2E77+YjzKvrV5+P/DXVTtWWQo0N1efTU+V/g8ZmFbgvQzP552+PZAkt5qJdQE4thOiq41w6PttGlyZuJyW2kIlSWZ1OOSKMR1MToVh/q9iXGrUqxQFYkWpln5qeo6rUhwsqVqw6b4t8dGyXp37aSkuxlMMQZ1U7rExApIJESAu8/foLGZJu/CDqV1mK98mrMDaXHdu+iVk1zcnsVBNMRNcdOrfPGkYlWw79VQDxL/lZZ3CWsnVFdoFIJqpKphejqplS0sZerEqkLW23WgtIeEKX5NwgLti2LMPjiVH1eumfFduv1ehQ2AOr3DjF68nCcM+t9nMvQO4vXj6D+rTl6UfDBZE0bSiglQ7QKCxSQFNHS8ZN332USgZgYVAiiRMn0Xv8LzZyfndKJsEbZJOVzX3gDUD548BEfXe6415+yG/d8kA/k8w1/71d+ibdS4o//9R/ypKi1pzoqFlhN7HkTNqzth1t9vuWJLm1rzUzoGUiZTLWGm6pNRqofajlnTWlUUfCDSNt/6nhuLXT9W5ZrYn9M/vJ8cLb7zhu8kXAlOKp/0eZ3a6Teuh6sPqhyLHHtqs9qoixA9OBXqU/nA68BIYDsE2AuH5tOmRt5OO/wJXXUp1BS3WLgUtGI6U3ENunNOPHRs0tIJ0YCq2xxT8oNeJTQT5TqyLU+oG6CHLGDFxPk120be+a4HHM2aIuqRxttRh7ucBZzvgecf+WmTUUaTcEohKaMXCj8MyZI1lihjtdOk2iLJy3EcEvAzFxufq/FszXGds0drM/PPK6jNa6ndFXTUhXNfEouT/6lU94/7iewLubBBCnG6NEpN6fFjskYI5PfMUitaqnclcJNyWjsyUUZQk+QQi5GU9jEnvWqJ5bCWmDVdazOzvjinTW/8LUv8Sd/8l3e1YkDE2989fP84je+zBurjg+//X12WrgO9l2tkwr2vVW7tFrsbZqXGMVVh7sutEbk5gm23/k/iipFlivmc3wLqCxNt6aUxGdcqx9sgZ1Fjm6xNOUaT7Dm07kfd7kmtma3Iow8v1eO/V3VosE4d+33C8c+y/tBZdS3sbks1eABuONCI9UvbM8dMIZYzeW0ck6zq+glNRSfisw5w+DlhkHmmjUfPrpgKhDEImC1Ig5SC+TZDeoi2GHlJ08DhRVq+Z+6KGVOa7ETwZnSS5tasUiiVLiZl0EUSzzOfpIJaCeezlOIS3NheVouxLP4kph/LPiCVRu85nHZU2Q/TsUVeTVlTcExn5o1a13MAYzYlDSDJYf69W0cHj6ZBVAVEW2vF51PxdkM1Jk53e50u5Ns01R459HmB1wSU0vxDjVimQANTYpSSGzKwK9946t8pPCD9z7kejswYvOei3J+ek6URIhK0sDJ/fvEkw3DMPLLX/syDz78iPc/fsIv/7Wf4+e+/iVCHohT5tHHj7gpoMn8HHWu1f87R6WcHKs0nlOdQqlUeZ+3Wo9/fnw7LEqbv3q0VAAyK7SldNQgTTN9ZK4F33KcW6mb0tal9g5gIddtLHXgYZazI0e+VIAw0zelLCRWls9uh3bxRiaKRw4rwmz7eykjMu8tESenBsAql5jPT30cmXmDSztYm9/Q2fcqc7jtZa+XVlJzGF08JOknKsa/uBkTHz/eEsPKEZTViMregbdebVPfutqQ1cPmVK6ImXtgycd58u0bA0fP6WMLiNnx3u6pBeCwMVk9aqjHQ0uglPl90Sff1MRshoodiVUMPSrm31/9Mo5YOFr06tcQkHxrI81zkRenaava6RuqcDyHy5+XvokG6asgCI2CsYz2zXPmQl3Nkeq3q4fDQn81JNXIrK1+QH0LU+jIJTN98JC/8Wu/wpuvv8rF1Y5333+fp9dbJJxxdnqHjNKVQt/BWz/3Nbq797l3esp0GPmPX32dp9fPeOut10kh8PTxE3YfPWW3P7DP2cqR+JoZ6vMnX5o5ujxOly9re27bxLN/tK4KPF/m2UEiAo6uKjVF2lwcmWD+X1sKme+FM67rGtUDc/G9P41HtFSa/vWe40hbr4V7cvHMUnWhP2uhNkqYlf2t51giNpk/G1K0rj6z29a/eC5BA7SgkNK4/ywrj7zs9dJKypImF0RAafECpiB8+PiS/YifFsV7m5WWbwcvOTIXnoZifAGrH7Cms7xIBJuDV4zdXhVE/WoJQiFTOSTRHdxhIYG2ySvHpD5jbV/kzj+qUlscqTaAJvzKQhkskVP9h8y/vy2TswtyFmyhmqsWwYsxPqesXjCV3JK3I/+cYGk0S4mfy7gYZqzh+rH64RYlUcAUoDY/lZKDcBWE1w+ZeBg4W/VoVr759S8RUuLd9x5zcbVDNLNW2PQ9/+2//n3Sd79HipEUE10f6FeJH/z4Q/rUUaaMPnpKmZRDyRRN7UypSkAW/sdjOoA+Lygoy0BDczv4muq8YAvGv6PiqqikSshisl8g4keR5LZhpb3WzJ9mkt/+rC5Q1eJLmuhJAzNH6zy/pfm46nw99z0Vwb3g9TlKQ0PqlFmdA83oaRpBs+/D+V5V+bdtU2HmS1wvj6RqtEcquFZwx+OQ4YNHF2QJqI4Gl9VpB0W9OQMemas+GCe+ycL/736ZVpZUxGpHeUvmWubVyvC+iPdEK8dXXadalYNULW5aPcZ05ERc8qIqirnNW/I0YWbmLke/b2KggM5EySoZNRpnvNXq+F8qjtgURD0O28lXQ8rCUXOBelVBbD6lIO37Zqk43klmtjq/TUIlTfjbxM1O76ccAsk30lKeJZjfrH5vVuUmdVweRi6eXnLyxc/TnZ0zFeX3/uCPuL46kPoNirL2CqUfX12zv961TVlKhmIO2hSM5/b5JLy2XpPHyTfVUvksqguwOCRcsoLOHpA6AypqidBNNmY5aGvr8lB9XMWDKTiKms8oafNZx9OOlmqmVclc7Hn7nblGZrTjqE4yKtYmTEqgtp2qmGe5/lrKjLSDFzWqe6gC4lo1QT2KJzRybj2I7NlMarMz5KsfbJmDp9V/6kEnk21tdJvmm/LPCRg5VnUxVy+roj5NWkyw3mUSDFEZkgqIdLz34Jqb0Saz9SPWNjttUzfNXtGIP3D744mztnHLrLDa33jlAGGaZmZ0fd0cenUBa6KemTlBKjb15VgI4+1ISam/E9ysCI2sOVtAxwXF6s/NU6Lzc7Z67mobJoi1O2p+hKocET+BvKnFwjemt8Z5HN2cxy5+/1aswYAgFYYv/VitsH7bOwshw8YxFTdMfb1DrU7ZDqp5/ewESYwI26J89OEDXnn9NX74/kf8N//db/KTDx64KW4iuhGvGxaid2oGCdD1K7qu42x1xsn6jFXfc6dfW7cib8TZ1IJ6SlV9Aj8AGwWkHR9zSpIsNtNck76iA21zvrzqwV/RVkUw1IOnzefyALPvbA01ljYZFTHr0fvnrTuPZ4mPZPG2mUow363JoCzuVRFZ/bAu7q9q8llMgYVFZZAqc0foW6Q1RcllntsKMnzL+58Z9S1TaI4oQy9xfQrGuScKC14dURCJbEd4/+GV36osTv+l1nYz6OgYeX7ARaxMy9K/Ums81/IblZ4QJDCOIzX0Wi/7/YLzVP0AxU8Sbz5ggjObMMvPGf/Lx14RHbe1/61p9tURZj9XEameJ+qWqY50IwYuYhy3TYVqfvrXH3NiPuny76nz58JYeVSafRPeQvaW7eSld10Z1c/GELyF1Iwc6rwG5rZEzU8loCkxrAqPnl3x//p//xMuS6DQE6IQYkIFEsppDFxPmRKs00oKAgWmPNKFvlW2CDqxih1PDiMlJRKG/AyJzxvYlqoqkNm8abPT5kV57pcskMliU8645VNeYnPqsPin+plufaz9VDv34J28l2Ns42wyIQszCltHPTrWAJpPth6CANOyWGWo8yZEIq13wC3Zm4vm1XxE45TpZD7XivazN6Vt/Lz/CdfLK6nK8FYh1pCuBN57+IjdMEEQciw1yxd/g/9Vlc6s96WaFA5NKzmzqDUEPZ5cS1AOsW7WigS0CZwQZiXTSqwskUdobY3a6e/+FMTRVu27RuWcKFMu7dSqCuA5811xVFlPVUcadYzP4VUXPqmfrc8531ArTvfptEjM/Nv5TtJ8aCpq0L/6PsQ2fVhuFPdrNYfwwi8m/oOx28UJ9jOT+7YzYxkCDyJMxaqvSgrsNLCaCrtdZgBCnthsTgihAwodhb5b8+HNnuITKqqcn6w5DCNDhslV4FogBmGLohIsJlkPzDZ7xwdJNdPUcxaXh9ZsZhcq4Jf2YWnzdHwtFNziPlWZUw8zrSj+9vocR11fdLWD3BXwvFusFPP8gLOX98iv6aZZPfhnrD+7FV7kt6ucQLt/3XuzMqvWRaoKTryMi5N1Tc5vOd4Xp5q6VVERXDvtXlL7v7S5N2/UGqUqjFPmw0eXqARUsoW2SnFTo06T18fWBXT0xXIQzgy/SvvfPGul4cdj03B+wqq0jsiHi3sVClknqmNdKeQygS/AVKbFvcxXkdXd5V63ClVnbnvbn7xwdFYTTbyOkUc+Kku+1JloFsI8j/Vzs+nnJshCARxRMrTdxDd2cHPSOudWtChBGhVjrole4fliU942GDQ4cVWOwsUhmHKowf8mFNAaGqgXUxu1sC2QRekpRDU/XBc7u58GzmJHF4SDC7MiSIBf/oVvcnaydnFQQpk48y72BxEPsZtfsM5imEc/IySpCDQcbcj2xFrN64WAGx+lZfA32ZxPkudMbNf19vHFqdL4b4v1W5aF/qmXGo6pqVPzmvt9Gj1H5gEsUXlFl24/q1RstGzMsdAQNbXLsw3sRvbv2u6MwjxnipOtR3dNWYO3BhiU9r7o8jTbgDbH5p55OS31KbrFVPQESiQoPLy65nrIqMQjmkHdyDl7hG2BAsDeKvXkR+fJKXi3K3GZccWzQPSA0RqyeA6gWEmL5uScUxuW31k3fT0ks7Ola0CgZPVyMULREZG5QcTS7RpEj4U92Ow0HYAL8mI2Qj1BFK/uWYfm5pmIR5HkOQVcr6p8K6o54gRVlLdM7ZFAQlAp7iCdT3RDhKU+gb+/YQWLjIr5iHyEBuF9w9b3iswBlRgTlXiY88QogasJpjwwlAkkEFIgS6FT5W5MTKU2pzdsee/klHvn5+z3B9wFSVLlfBXYTplBZWZr6zxuXxlmWFQVlsvRwn3gT/D8+tyWFWqaVpuyF17iqtJQ6NLHtKzD7wgryCffqH3JbNa3qJxwPMDFOFn8akZDM5qcR/nTENyCwqJL01TJZWrKR2tD22qFcEx/abIX4uJweP6ZX851MV+foluM1n2GABOR9x9fUhZna+URqaOOZfXIY7GYxaXatOInbP1IPRWbeVfmDH0rbGelU4CGcOwDtY22LpzoC4dfqc55L18yqXGpsDQcEbEa6suTE0doGDO9Nd0MwRj0Ps6W2KyzGYJyJCACzdfSZkPVM2ocxuusVGfO2JwwWs0RwVEXNA3ZlBm+cQNomWw8IgtxlaNc2VmPlmYSO1cYFePJzRX+ac7TWjlBsyuvDEkCOSmTRgqJpBOpS+AIs4wTfeq5Ggc0JHMf5MxnP/MZnlxccHM9QFqhOoFOZO14PBYmPwgqubxGmuftWVV/pcrcOt2oCqoeuDKDpBftGbn9z5lD1JzFCHMyqWUdHFVNPfpsXe+qP2clOouDHwsK6sn4C7jX5KWOr5qbS+5aHXqo4MVf0XY40YjQNSjzSVdVuiK4YqIh66qklj7gnAtRIst1afdgDlq8QOd+4vWpeFJ4ThsChxy4uDpgqR91sRVqrZxFBCjoc/Ns2hgafK1CZdEaS20Q99jaueZZ1rj1W7R1W60lZPFNo2WaqycefWeZ070Uf6+1BkcLU81Ot1Tq9j6b3DqxIziCiLUwnDvjY+joutBqM9kcVLtsPu7UkZ8ufB+2dAul7u9vBEz/ry12mBGFKxWFJqQN0jP7C+YbL862ioi8g4BioeTcksA92dgnozgyKZbr1Ire1QBHzpkUE2UC1ZGhZNYhILkQNz1IIYSePmb6VHg6ZnKlewh89nNv86N3f0wWRcvIWJSVKFMRLqaRKVmaRZtKrfmxx2kWVdG/6LI0o4p2FvSDFv53WssLxKdSVykcVVio4f6qMKo5Oa+ja9bFeyxdakYac5ULX+mW3xacQjHTH5oCWBwy4uZpbToCtNr88wnk1kurb65HMnf7aduwq3RKQbV2ai5M5bgdXTs8l9VMnRWvWjxLo45vnu+fdX2K6F5iLlVi/qhp8jpNpdCnxDQUrxkVIeR2RD83lKreHVom8XZEPjn1EVBvo1RByaLERTVx52hOPWWdx6ShVceslyk17yTs+YQlq5EFtZDFW/hU8xPch7VYBC9Cb76rxoRiIpKiknOxvLS4hLsu3CwdtccY/fZiHztK4bhImi4+8zyUrmgq5+OM9tnkXXy3MlMQZDaVGyfo+O5Uekk7gUs1dbWdrnXeEGUcBroAKdl7Q8lsxERplwvFgyGrrmPdd3z04BFx3THlTFcKp14jvwQrRS3tuX2OtJ6Rx4L2SeI/v35sWs3rLS/+sLJ4Nlm85ofL0Xc7am3lckqTu/YemdHVLCdHrm5q24biwGBe6vlwo+6HW89sr1UKpc6fnYX5Ftp88WRVC6JKrCBzEG05F1SlxNG/K6hpv59v/dLXyyMpd26aYlCmcWpf1cXA177yWaZh4vLmmqfPdmxvBjcD8kLdzwLWVEdxrkY9fDTgxBzfMO2DVa/ZA7NwLDdAOU95DYGii2ifWE+yotYQopTivqh6Er/IG+QVEBuEnTe5OgROCGgmpEiKhpQKc1XFoF4T2sc6R/7mg/F5Xs6xQJsS1vnf7W/hOQltn3ve9l/6D6pZ2J5cwRytplB9IEcjMuRaI6k+Q2XZnssjSaWQFVZdb9HFLhCjELVwnhJZ4BDEcjKjsk6RFAI3uwFCRFTpFe6mwDgWQ3cGGdrmqq2jjlV1FZCFsmkbc56Xehhy9LmZ1KvzadI++9NO/qb8mz6Y0dEn+l+Wiq2OqSHrQNBoJjXFibkLZHakDeb1OZIjPZaj+i7TJdrMzhc+w1KJ2gBN1LIdfuKdeZ6nJjw/R7ddG5+WivDyPqkyNVgJkeGwI5CgFDYnPes+cufVu9zbn3G1fYcQhfOzOwzDwGEYvcaT0vgrYiHu1SrRi7CfJgZ3tk+j+TDManLYWZQgCRi8zIqdYBIi4GxuqRUCIzk7SltAzylnpjy2MKx6W48qIFVxNl+Bn5A1CmTrV/1RjhaCzqkiUZzJnLFO1V43QZaL5O+tJ1k1M2Q2RZdCgapxTJrImAKIYa6TNJtzFkW7LfxHIWetClcRvMmks4arMY1WmmeN5C6OYdV5szhpMglMUyHGZAIcBIq1Q9/lCVHlLHbeB0/pUcaijJV4muHevftcbrfsByX0kUTHOhRe6Vd8mG/oWFk1Aq+4IbUcstRytY6qKrN6qdSWKkwLy1IpTSHdQhU1+bopJtXGGVoiieV95s+aIrntmzpCHe33FRXPUdfqg2wJ+vWuDUAt1LLO/tKG0X1tGmPczTzbJ8GdGQpONQE7LLRYlZIq+yq1pr99V1FtlgRu9pnl4pkLdV/V5GpmVnuTl+rjPZrtn369vJKq0u9CPZXiNaKU8/MTYhC6LjFdX3N2uiKPI6/fvwsSuN7eMAx7AIahsD+MtuBFKBlWZz0ncYMCN/s9qxjIeeLg5oo1zq28nQWqqv+tc179OCG0+ubWa84aQOQ8zY0gdIGYbwltdYIvUxEqj0pVCDEg4TiPbek4ryhpGEbrALwwISr/ZXbIx3bitejb8nkqams+vKrgtaHb+pHKl1peS/OvQfUmIcuNVhGKNFY/Faks0MXtaI5F/QIpWscc9fZHpRRSjBwOezYnJ0bEFQhl5DR2PJsyOSSSRvI0cnp2wqNnFwaiVaFAp0pPYJcLGtvx3p6xPoIH1xv6nqNR3hTgCBl98tZYZH7YgVVhmj2sy9qCC3T0YX9bO070aJ6e+67nTHWdXRf18yw3+PKdi/VgXkdTqgqeXnV7fHMhvPm7FYUyZ1nMThdHbiy7Vzqx0/l4jbunM2Kcldrzc1QVsAvr82P8hOtTMc4X38RQsmWCC2w2K2IKDMOB87NTPh/f4tU7N0xjBgmsuw7KxDCOTLm0AngxWq+6jx/fICGw6ld0KXD/lRNef/UVHj695P0Hj7jZj/OJ0Mw+ncvmKscSxkLRVHQ2TWbi6fOOO/M14R1GrGpnDJGaIRBEiFVJUdMcZl5Wver4cs4IpTUrqPvKhMpPND/pl/lgt4VyadrO3JeKGnQubl8VSaiHCfN9ji7bqKFuIPe3aUUbgqErwXMllRllvHizWfNTG2OQ+dlELHk5dZGQOitJEpROlVXsGIaMYMGHSTP37t7hx+992JR8VtgI3EwDN4QjNFrHInjA0eXpmAKARTYdGTYlX527t55FEOZmlzSldPu6faC1mb294T7FJmz3QEDmTX778594N2UxP6bcShCW9baCF8wrFIpoJU0AtaifrfOkE6LeBagWskMQ1VbwUuvEh1vja+aitjSYuleXtfP/Z6MgWIJHZZyGpnn7lFitelKKxGRIY9V39Pfu8vFHj7jZ7djuDmxv9uyHA1nVQvcipD5w//49xpyZhsL+MLC9GfnLH7/P+w8fsV5tCEHYrDtTNh4hkGyRp+KlYAxVhIXSmP0WU56Y8mi11r06Q/VzGlAJVmU0hYaEgkRzfDvqqK2hgxMvCbVK6Pw7MEpDKYWYIkGSRSCbQrTxiLOcW63xil6aw38+yRp0F2Z/D6BYUCIuoLjlNj6/8Wb/qvufFoKrjuCqgNpYC5WcasBjcR4ukGcubtbVrAKlmaFFhDLZswzjxPokeOcaWGEtwA5TISVTjiKZe/fu8Offfcc4NliCegrKVjM3KNFhZC07Uw9kM8PawzwntbAARK7QaKjQDormEj5SOtXhK0fItm6629HXVgyxmmWLIRyZjS+4jv1IM8pZ0hYWb/C33UZKUgfJHLms5NF6mtXsiQUynwd5tB8010N3XCAmf6s+P4al8gnuTphXQBafnZs2vLh78/PXp2vEwKzccykUnTg7O6fv0pGdfnOzZ7cf2O4PPH56wXY3tlNM/NRWCQxT5sOHT+i7xMl6w/2zcyYplHzg/GTD46eXPNvuQcQScrveGlU2J6M7tWtXVVXvcW+TkXNhnEamaWr8KHWhDCEQg9dtTh0S5xZYTVmF0Nwylhhsk7+Q9Sb9Ct4g1FbD6mh5OoPMpZbtvAyUFgVeRH3C7Lh06nN71iol9mnM/1W74PjJtpTbBYun/VvVN5UjrpmctxAmR21HoWlHqtXhvxAHJ+OI90iMlDJ5qpG9r+83Xs/cCuSdpsg+j+xlZiydn58yTRNPLy6Q7gRVpWdk3UWupskie/VYRqnskpmk6UO6ZYrOR4PvkOf0xCyzL/qVumJfmhFNBWjbavYbN2GqbFSkXRVpNdHa7V+ASmUBn03ZzZQCWYzhhQhNac8ozQysPKh6+Kgf0KERpasZXLz5bkzRQBJGkp7KZPsCmbW9f//kTWJh7uS0XI96MJjys7G1rsufgFRfdL28T8p7fBePlmXMv7FZd8RgD5VCx9X1Dc8urnl2teXBo8dMU0FrVj9KrWDXifLq/TsMu5FhP/Ds6pqn5ZoUhJN1x9037/Dmq6/xzvvvc3FzYLc7wDQx97ZzZJAzXdczedfdWrqlml3TNDFNtRyGl6UIIM42j7Ez5BOF5E0v2zOrWsqJiKe25FZlIFnNY4++qHdmdrRTGyEUQIt1fW0zkBylqCmo2gC1Kd66A8NC8Hy7SU3LkVbZoJa/nR2q84l/tA3U/RSOmFqJG12ctSIgybDVQoYaybRoE/oYEqgy6WTldMQcp1nnudBS6LpVm8tUlLMusS+FQcwEycPA5z/7GS6vrxlLpvcNdSawDpGPywHBiqw1KVqm1NsIEQy9iYj1iGSpUm5PxtHE+P9bTYj2zPbbWXG86D5LNvvtJrMBIRTvEuP8oNlt7Eqz8aMWX1M39W1k/CLzcgHbqmKuY9ba3ASAsqgxfvwZFoqdW4q07qMQAtFlA5id5Hoc4bMfczvEa+XRZY35eSo/GV0ur0/BOGfeSCKM2ch8fZdaaZCHDx6yHyYeP3nCs+sbq5kUhNaHzD5tYqiZq+srIh3r0xPOU2KYJsZhYHcY+PO/+jFdhFELGqIz2Ws5YD+ZFDQrRbKjg+eVVG12WWG9IMRk5lwXO5Kf8rUc7vIy/5RDZilWbE6SMdyLPUOuURh3iJeihGL+rTxlVusVmidUxauFBqsPLeWo5pP5iucx1Hy7igrt5LPSr5ToFUIFxOsviSOMKnTNfHPkZh0Q7F6tyat5JqyaATTHs0AlD7ZIZ5kd+9X5WdC5PlgxdF1D3BTlcDi0z8QYYDhwslnzbBzIYqVqSs6c3znl8dMnEOck8TVWzubgEcysXglgYeLKrQ3aqCbVcV7NGxZmU9uQC30jx7+r8oMIjdR+65pR2yzbs06pjP/oXKdawMUhayV6tid50aVHCmj5cluDxbiq3DRFK21UJkcLBdg+r/Pt5fYcuMJqLhRtNkT7ztaC3X3DM/N8Rn2qdhgVprYH2whegCZfdL08T8qQIhFTHFeXN6y7nr7vySJMqrzxxuuMZWJ9tuHxs2s++PBjrqe9j7lmdVs3E7KyPxRU95T9SBToU2TV99y/e4fTzYrNpufHH3zAxc0BVVMUQb2ImdgGLgWmXBAxB3olzc1/5mcQjCnex57UJWIX6aJF14jBu7/QhLyZWK29dGHSgxGxp8LkqTdHKSyu8Go4t+Y+zSZK9iJj7kiU4ulEgRrpC+Kmo6ejWXeNTPNt1KiiKpRMFGnJy8Ed+5aWlBHFkWS0cS2UUzU/zb9o3ZCDQ3sty6gObv6U9o9aW6oqBUXNJ5kLZKvMmPqe9aZHmUxYQ7GCPurkjHwghsLdO+f85CcfEEIghUwokEQ4lMlpCtihIF70sLmLFnXpUQoTIXY+L15ZozHJbYJCdUiqH5gyf355LdHokuKxvG6jrMrbWhwxC5unzltFO6UFPJYSaui4qrQ8j6uiamiVK6pZuXACUKsYmBJe1G/3Q9xzwAhq62zmpB1+4nugLHsaupIydIzRSARH7zOqer4Qo6N8R72hGDF1qVhf1nn+KXxSgWglJRkn5WRzxlrNWW7lVcyxHYJwerLi5mZHFyMpBkKKrPqOaZiMu1lsc9UeepTCVOBwUK4OI0lgcxl4841XuXfvHpf7B0x5QoieKiOGRKpTWRVpPqfj03AOCpnIxRjp+55+1dvkRcvgb/pfbdNOY57NFjzpVkFCJBCwFuRqpq7MzUjnwv+6qDRaK5oDHnQQj75ISS0BOIQCxWo4GcqwXDBE3Ur2OgRlsgxzcZKo92ZTVTtFHJ0Vnaj+hyITMVaOzDzG1mq9sqO9bnt10R9toaOTr56qoX6hV2ItTkVQh/ziAlzoCJxK4vWNIH3i0eW1mdwa2G53nKbImycbVtPIZlIupkwWaZu/aIE8J0vrYlxKmfPX/HtV5vUUqi+zOnU9olV39FJmnjvhn8c8LyLJ1kOkmsSFjMRC7Rht81TpBfMB2rb14mteuIEdzTTzm5kS0ZDX4n4z+jlaRK+iadkjxd0kNVtA23fPqKnmtAqeIL+QoVJKc5PUuauISlUt53Px3ct5/LeupMQnY18S21H5whc/x/X1FsROkPXKqile728YppH1uucLn/0M19sd25stq9WKnJWSzaF9GA7c7Af3wWREKpnQQus3k/LuR48pko2YmZuVY5uqVUqw1VCvuLCUr4WbExEhxUTf99a23LQlY5642e8pWoxmIMFK0YZADJEpT6QUZ7OQRC2TUclyxcsk115/ZvoVuhCQYqlCU6lORrVAwzjNxeZU6BQkmYISV5pF/I9ivreoDGWkTOIRxgnRCVNedpKFYP63/XhgNx4oU2Y4jCBCSJHTO2fErid1nSM8V/o2YbNh1MySFwnSUkHNJvwM/7P5CIvSpb6ZrF1U+r7nC595jS987jM8eHrF1dNLbobMYSqsE9xPwipb+drtOFHEcYc30Gx+qVIghucEvW3eUpBF041i/b8RkpnNC81wHOdq0Mrmo9mFcrzpl+ZT/bl+ZhZM+70nrzYTS9UqX1S8sryl6m1X1POzv/CDvei1WdHq0fLV15rZJjV1ZqazQLUMjtNZtChJHCnX1m1HUz8rKHO7eJ3zVvnBVWmbt1mp/qzr5Wucq1VhvNpN5LRCgnLvlTvsdnsTTlErw9EnhnGgSxHtMylsELHTNU8jU544HEZ2h8Fz6SqglibyLfVBoAs9hYkik9d4cRgs1ecyC1bzUTRTbWHW+yZFhO12yzgO1ok1mV+q76y6QUrRBLpYyZGYOvM7jcXmoGwJEuhCMjpBzvQiJBE6ETQr676HEugyrFJEJJL6NbVdUgoJLQax192alUb6FMi5BhW8nngMDONo46oKpFhZlJIzw5CZauZ9WZG1kNaBXEbylCCfkClkpxUcJjiEjgtgrwmNI2i09ItqfixLnjD7c47lKVjFisaLsgTlaRwbQqQUJBQyXlF1gjt37/KVv/P3+MLf+lt0Z6cgynZ7zQ9/+AO+9ZffoxsOrEMgFmVU5VDUko0lN1+HtVWqfpKZ7NvQYDXQgtXXgplkCorGgd32BgT61RpS55VUDSUEsdZiBVAVikx+6HjFDZFWH8m6S9cyQd4f0f0uVq2yNKRW1bqwnExHfSy6I9XWSLeuav7hlmNxS8oyLWiIf6lYZnoMThmhHbBVGUkQols3Gtw9Ae27mkmnhUkmd1VYpNtkeGn+ucS4Ypd2kGJW0GyvuML6t4ykVCOHYm3gsirjfmQctqw3G5uQaBUcU6i2rimaw3hAFbY3e252e/YH4yypVp5P8VPGlrCOuzlAQ/QW4Hn2i1TC25Ept1zQat3PYCBGc9TudjeMk032vfv36LuVC0imjBO6OxClkKeR6FyfJLAKkbO+o191rINwEiOb0FuUSwRKZpV6Bi2EEIlloi+FPgW6LthmSIbiYgrspx0n9++ynQof/PBjSoEhF8ZS+VcwYfOqORs/DGEVIvlwYBUSvQTOup67nXA4FCbU2mBHRWO0gvxi8VCbkZ4xdHxvu+UDMoVAVBcBRzvAArq3xT/SUrL4uxZLCBJYr9YM02AHQoz0qXcUNNHFwC/+u/8eX//7fx9dbZA8MA57VusN3/jGz/Mf/aMDv/8bv0EPBDLPSmGvNWueGaEsTaIlApLQxhg8AJCnTEwdtWCBIZeJN9fC6SRMw4Gb/Y6JgHaJEBMlWM9Ea75gnDgV3Kp1F7hXiWjbzersVLDFbV/VESdpgdxMmXmxOcLR8yw/+8KrMuuLGa5Fs/mX/Ne1EkcN5swF7TwYFOYcUhbjq+6KkgvDMAAzQlZVployqdaVF/MZmg+0Kh8LosTOfaBUjSqLrfpyKAo+hZKaxE7hZ4c9Dx8/5vrqgi9/4bP2QJ52MoLVeQoJQmE/Hri43nN9vWO32zOMU4OVwiJ0eWsTLC87EeZyJUXNDzSXQZlPqCN/VFV6zMzww3hgmCYEeOX0nDsRZLihE5gOB1KBs7SyTdqviKtEF5JTCAzhGLfKTJoiwnYc2ZdaVeHAPii/9Ct/nV//1V/myY9/zPnpKUrg9/7gTzkcBv7u3/lVYprQMPHW57/IX/zgfX77L37IW+fnlDyh0fq+SoaQOvbTRA6Rx+PElHrClC2IkJUw3fD2qudL53cZ0+iIJlNKQgjuD1BCML9COWTuvf4GMWSmy+uZKtF8GdJk52dxeub1mcWtRXdiIA/F65T3oMrZ2Rm/9Ct/E1lviDFwGEa+892/5Ktf/Rpd6vn5b/4Cj//qr+D9HzHmwlCEQZtB5Cs8ayhd+mfkmJagxUzRlBKNsuKR0aDCK7Hn62dn9DEwlcw0FvY5E0MiS+BqGhjLxEBmN8EY4GocGEVIYnW7i3TQHNPVvMt1wvzgrf4YI/HOwz8mMZoLSKlFIH/WNfPxPKCl1hvAHN7zPmg0isW/gxhqDklaW7S8OARFLOJa6001v6zeSo1i9o3lUpPwHWW50o41n5KaJwp6ZMv+W0ZS9Il3fvSQ7737EeOYOT/r6dcri86rqYOYIjpkDrsdTy+v+PjBU66ub1pnF9wH0zgpR7az+Glob6wWR1EsiJMt6lEh6JyrZQtWTb8qHLPFJ47ElGly1KaFeHPgLnC+Sqz6jvXZBp2Us9RzPQ78aHvDwMSYB9Bg0S61MUQR1iL0UQndiqEUgsLm7A6Pts8om56Pry4YA0hM/MHv/zGPf/I+MUX+u9/8LX7tH/wanWTSasUA3EQ4JGGtHRsJjMPI6eaEw35gHVeETjjkPc9UIHUG9UNgmgbyuufD3Y6TbkUKQpCOAuSipFVCc6FLkTJN0CnD+YrdpW/qUsiMiIfJm0m1bIw5HwFtjzV/RTuBqx/F8XBQ+r6jix2iicLE+dk5d+6/hqry7MkTShn52te/zkfvf8Rbb32G87O7vP2Zt3j/3XfIRTmUYjQLqZuS1vGnbrqaZdAgzNEWN2azYgcKXlwjH/Z8NI1cXT5jlRInyV0ZGV49PWMdIm8lz0MtMGZhFRM3pbBXOOTCVgsXY2GPssec+6p+eMUqk4HibougWC2uNiJH+qrQul77JQvktXAr1WO6RqybYsMPChXUbcCqOGqzD4BxHOlSIrg5GUskrCxBOOeJYCoFiEZXKRAkMuUM7mRv7jlVSp4IXefTXpWmKb0pj6TOlDiK+6oGhIyE5ErvpV1SL6+kHm8z7374kBAjIRdeuXeHEAxKChZpunh6wdXFlsdPL3n87ILdofoSnk98XV5B6tJVzskipVFNAYRgSceqIMV6vS2vYwxlKRtBLAoH4vl0EDVyEoUvvHbGW2fn9DEylGy+tP3IdRAuJPJwK0warGyIzTSdKp85u0M4HDhd9RCVw2EgTwdOTk55ctgyRtisOt5+8w1+dH3Db/3mvyI8fsbnukjXdTy5ueE3/9lv8et/999lHEemcQ8SeLA78Fq/oqPQna04lInSCylFdvsbTtcd2+0NkypZxDo5l4l3bm6srK93jG42mAid+4eCRLqU6ES5kycud3uf80q0c1PAN3tFrrejeZXh39ZK6vbSZuJbaowwjAPrtEbd/LUIZSGoJyT3az+xMyn1SOwIUug1M6pwKIUSrDdizak0/1doBQ3NQe7fL57404oTzirL9JgY7WW/56ufe523zs8ZDwdEMnm0+0ifuD4cKCnx8PqKrj/l45sbchZOQuBu33MqcC6BL5ysGceJkciA5RpuVbnKsCWw18Kko3c7FiR5NoMaXQTJzQRTKh9u6cGYjUIWf9f5UJU579P3QycRxUsQydzYdT8YX62UwjhNaFFOTk7IUyYEYb/f0/U9q1Wq9qqX/55aRsOYR6RY1dXY9a3pb/FSTNpkQQixI0oHGslSFaXJVs5TQ78ve720kvqL77/PnTv3mKaJh48fc3Z6SiSYDwV49uQZw5j5yfsfcbndoV5mdwlNK0oymUltsAaF3a5mNue1no61xEMIkGs5iFkIl7lENaLX2gmJm2bebCEQubc+4bNvv46qsi/CkANXmsmpY5cz1yVTIozjQCqJEISpDJx2kd32Gff7Dduba9Iqcnq24jSu+ejZFdcayGIVEj5+8pR/+a9+j5NnA1/sT4jTRCfCJq3Jh5Hf+Be/xRe/+llTwBrQ0PNst+U//Pf/Ln3fEVLi9GTNTVVCAQZgSsKwHxjGkZytRdSQM/v9nlIK+2EgF2U/jhymgWE/oEXZ7wfIIzeHiZvtSOw6L6bmkx3mOW+q53Y43utbP3956RcppC4yjl5pQkCiod7x4pLrRw945fSEs7vnXF9d8vTZU77x898kZzhsr3n28CN0mhhVGTQSQmf15qtZ6tkO85prW+NKwVie0HWkCkhWQjEqwn5SnlzvCSWQuo7N+YpxGJC4ou9PGEthvV6joePJfuQZI7EU1geIqiQCd2XibhT6KERVzmPivptHhzwxBhhzYFcCV6UwjsoYhDHAoMWqXDYL1gJLIpFaIkazyXgIMpeQLgURe10CDftQgiu4GZNFLYgXZ0wx+r5SopdaqS6avt9Yo1z8HqqtVdw0TdZSve6zUSkRKLbHcsktyicoErRxrIZxJA8GFhKQUqAkiyh3XdeyQF7memkl9fGTZ3z1i5/ndL1iv7tms16RnSQYu8Ard18jhsT5+T0ePnnKOz/6ibHSQ00XCc0BWrFSdbKZALr5hzTlNF9u40owdktRY01zrKDqFdSiT2JtU5tDOPiJhUR+9OiC7ThQxonspWoLyZKLk3C2Ttw57bl/cpc+RdabntfONqzXa87XJ9w5vwPTxPn5CU+2O/6rf/7blBKQkkkxEDWw2w90ZWLSwCokJlX2ObMbB77wtS9wfuec3fQhE9CVzL1+w5/9mz8lrHour68JZE7WJ4zDCOueKwp0PcNhoOsTWc1vNeXMuu9Y971RJrqOfr1is1pz0m3ou47NeuXlVITf/Ff/pjnGlXlXKzOrvJpPbcf7SVkrqH7SSajNVAzElIwrVDLrHXz/d3+XX3n1FcLZHU5ONpyefp7sNJDvf/fPefST9wjDyK4UiqQatmsntHVbLu0gmj2P/rpU4mHFIO43WaQOdavIVR54dn3DYZcxN71F6s7SmlWKrPrEyaZHY+YGISQza3a1zHIRbiblRgsyjPQxEsaBIkKfhdPQ0UnhrEtsdOLOdCBpJKTEWOAQAzcqXGjmOsBA5feXWe9WJ3Op6Tbi7hGoNPi2BMFIvLrwdyWEGII1HMGCXUUN5U5+iAzDwGq1YrM5Ybu9oahlY4BVmK2dqXOZCDGSUmSz2bTyykULjBPTcCAl6524XvdsTtacrE84X51y2nekGBm08J0fvY/EznNpc1unn3W9tJJar3u6JKxXHV/8/Nt0MbmwKqnrSF1ivVpDDFxcXDAcRlLX89qbr3Czu2G/GxmHyW1cCJ61r+L1FdTKpeZm7PnGET821IOYwUy36je5fTVSXambsDp0rdpj0ExadfTn57x+75zXX32F1bpntenoYo8UYcoT+8PEs8tLUozs9wd219dcX215+uSSByGgJXN5sSWWzH6Y2ISOfR4YS2aaMiebxN/99V/l29/6Lu98+Igvn5wxCrw7bvnMz32Fr33jq8TUU6bMSgtvxcQpMNxMHC63xL5DiVxe7pCu49nljsuSGco1IXaoDpQycZoEyYWdRA55bI7Tw3iwyN5kHW5S5auEiKxPfXPXCNXsy1mWnLVTMrcN88kh42UysmXQF3eY4nN+GiIP/uIv+IOU+Mq/9+vce+0VYog8vbjgT/70T/nuH/w+b+wPaJ4YRBmkzP7l6sd09BQcuakq2jiS6j5PfHMZgg4hNgd2niZev3eH//Q/+d8RVNnuRoZx4tmzK66ubnjy7JonTy+52m55fLXlMOxdzqyZbIg93aqnC9bB5k7sKKOSusQ4ZIiJqUSeDCMicHVzxf/hP/oP+Mzpivff+THDxQXTzcBuyNxsd7w6FEYNXKNcUNgXZdLEEAODOEG3ynSohMrqy3JzO4Cp42M2tzCXFepiJBSL/uWc6VcdeTLwMAwHMx8xInZRM8E12x6sVWs1ZyYt5DySc7FI6Djw9c9/hvtna87Oz7i6ugIJ7BS2V1uuLrc8GnZcbbdsh4n+5MSrjAj3757TpTlj4KddL6+k+sRm3RMSrFa9LZ56DaFiJVGub7aM00gQ5dV7d0Hg3tkZ9+6ec7PdMRwm9oeR7W7LuB9osV2Z/Rt1nit7N9Q8p0X9ppY3deswXyY73rZ76wJ3Ufj7/+DvcPfOKTc31zx8/IQHjx6x2225vN6xvRkZp4nt7sCYizOwzbd1L3bc652cSCFJIKll+uc88Pp6wwfXl57XCKed8Nf/xi/yg/U7vP/+h4wS+MIv/jy/8AtfR6aR3XZHUVgjnJEo48gUhdXJGbv9nhIigwgT8OwwIv2aJNZ+K0VzkH/h7imvdMF8O11PriccMOhoraGyQf5cCnl1wrffe0BIXfW4tvl+0VXn9GdF+5YpEvv9vkWORKwt1SlC2B/48V/8GX/wvb/izmfe5Btf+zJ/9hff4Tvf+S5vb3pyFFYhsB8nDmrMZim1kZZ6ONsildFJszVapB4Kb2GTIEwle+TJWq6VXHjw+JL/5//jv+Hu3TPuvHKHe/fvcu/8nM9//nX+2i99gxSNlIxkbrbXjIc9F9d7PnzwkJ98+IDHTy+Q/YGztGJ3fcm9zYa8nziLaw43ma6DkjquV5FHhwvuf+PzvHn/hPT6CUkD07jit37n9zl7O/Hl8zXP3v+A66cXHPYDcbWm5MSlTjwaJrYktkEZYyAXj1CFahkUj/J2nl6TfY/MHWDs4LfqsIZILaI3TZngaTLDMLDerOlXq2bV5JzJY7E8Sa+YAcJmtWlOfaEQu8CTyyv2hz1PfvBDxjGTp8xhmkCEPnScnK05PT/njbt3+eDhQ4YykYfM+ekJr71y92fqHfgUSqpLHcM4ViyKoq2deMDbRSms1xu+8IXPcXp2ys3NHsWcbifrjhSss8xwODDosBBw6hHIzJiCFrVxO7Ge7iEEcxK7NXJ7e1Vmbw2Jz8mXwpAnfuOf/0vKpF4zCjYpsEqRmDrur9ZcMrIL0Ec7jwShENiPI3vNJMVz/pS9CtPNllVM9GTORLjTJabrLXK95/56zb/7C1/hz4KwPj3nS5//ArvHj9HhwFXsGD9+wn2FctgZ6RLYHwaEgpRMHwKMI6+vOq8yYGHmUCCXkbjbcaodYx7ZSGB7uLFyG7mw6oQUI2MphKzEJOwTpKAo05Fjdo7c1dQOn0v3OcyLMvs9GnO5vU9bVdSUUov4dQgrYKSQQ+HRk8f85bs/5s5pxwfvvws6cbo6hWkArBdfEcwhXDo76YNtDFQX3UjqyH29VVtZYXV0pYLFLjWTRDjtVpzGxMWTax48eMo0TrMyE2G1XnF6uubkZMW9O3d57f59Xnv1Vb751S/zt//6L9kYxsLVo2dcX13w4KOPuX56zcWjKwoTBy1M/ZoH2z2TBk5OTri62aIp8Ww38c/+xW/z/vd/wtmdE77+H/+v+eLf+HmePgfXvccAAQAASURBVHmClMJHP3nAO3/8Pd7abHhzXRjyxFYLl3niUjPbolxnZVQcZUYIc5oPOvuJLMWJZr5XKhdYMKYQfB9ZpRAJFlUOXgY4poiCWz6eCRFmCkIGSoYHT56x6QPrdcf9u3c5P9kQUkIl0HV9izIWCkwT0wjEno8eXfD04vqldM9LK6mrxxdcPb0mrYT1ZsXZ2Rn37twlRaXkjI4QukBWg5CSIienG3Y3e3cMR/bjFdvDjuv9lmzFXkDNlvWiuvMmUJrWXm4I28YeZWpOLueXqDOPm0MRj4KqM58Dd9drvvzGa9w52RDySCiFTozFPR4yIa54P19xpXsKAc0TgnASCzEpvUAZM8MwcX91gmq2on8CUeHu6pQf/e6f8i6FbsyMw4E+dZydnTM+u+bbP/oxK4EyTrwj36HrO75wsmadElEhxo6DTguU6GrbwjpoKQyTVbxEe0LJrMaRWJTpckcfFCkTooG8z6QI62jObKJwtbtENdgMis6F66SYc1k6LLHVCaAaZt+HtiH5fwrPHxGFkgckCUEKgY5OekoOxHXHKnVo2FttMBEO+4FN15FEWfUWtbwaD0zxxOke3vlnUSaorn8IFo0ycwWo9eXxTVbsUBSxkPzN9SVf+cIbvH22IoZzum7NoMrNYWDC/DbDOFiq1NUN7zy+4Fvf/RHDNNEl4e5mzWt3zvnya2/ymdfuc+eVMz7/t3+Fs7Mzxu2Om6trfuP3/5A//fAjQr9iEzfcv3eXm8sDP/jee/zWP/9dwuWWv3b/Lo+3e37nX/4+//gf/6+Im44vf/PnuFy/wx/9zv/IG8NIp5lTiZx2gddXHW+HFQpss7LXwn6Cp0PmYrzhIDCF6N2OFE3ViJ+sjj/Kbr8DMTQUoheozBlCIRfo+55xHMiTbZqpTFbRQwJCJMUOxOYIVbQESs50SXjrM69xfnrK4XBgu9tzsztwGEYOw8h+2NGvjPRcHMx0XUJI1tT3Ja6XVlIrAnnKTFl5fL1jv5+4c3YP6ayK4zBOrPq+MV1Vi5cxsbSM3X5kGEYOw2Em/TVil7nRdRGRq5eJpCkgg/xeE6od/ctRVvPRHaVHr5pv5s2zNV8+XTHuD8akzcBUEB3oxolSdrylsNqs2Rch58A6BdYhsEkd45QJvbArmSCWm1YmZdDiYWdhut6TwOvBRfJQiNc37D3CGBXGcbJ0j2FPoRCjQDb/m3qKUXBz0iI8lnLREckqdNNA76zntUam2vVGIEVgynQxEvPEphfGbN6cJ4cDWgmI7tepB4LU06H+9QLfeD0M5iW4RS9RT1p2X5AorDCn7aPpwLhXbsY9fZfM9zcMrJOSOoFBGCfr+xdCsCquElpP0obWxHwlVuBw5nUhcwPYks3naYDMxtSHwN0onE0DRTMbFVIunKRE6nvGaWBKK3JJpNU5D29Gvv/kiu7E1uWgkXefHrh+9mM++sF77A4H0irRrRKvvHKHt954hUMZKGKlaU76yOnpCb/5L/6cf/Pbf8irU+JLd+6TD9d87eyMb/3wA/7kW3/Fz33tTXoNXG93lBBZnZ6j44GLIlzoyPbignUXOZGeu13P3a7j9ZT4wtpoJ9sp82jY83iauCrKYQqWTRAj0ZuyblLk5uaGy+stw/7A5nTF6alVvp1Gr13uQaZlKoyttSGzvIzIqfm9hjzy7vsfOiwIxNhxstlw7/5dTtcrYorG6RsL1/uBn3z0yEFIRp474F58vbSSOpRM0oIUU0p3757T9YIEO41Xa7PlD9NgVQUkIEEJKVCGzDgN7Pd79vt9g+lmVtQQZ4XwCyesCKg1hDTKv3MunHchAU94rB/wsrduOlodJsdVpRBCYrsd2G8PbHIhlpHDOBlkDgmVxC4PHAioZgKFgyjP8kQXOobdNQdnl2fxfK39SHFekmKF3pSMRlcEWZg0o7uREsRPeAgxmYshxsYyD6HzlIyRUrljNTG22IZPuLM4a6MEhbFWcTDlRi5IEcs3DALDnjJara7uzomldSitSsDyUjys7LlqdW7nKGBVbpmWc9YKmtl/urSi704wj0ihR9ncPeXeN7/MDfCXf/THvH5+xjhO7A4j3/jGN/ny594i/+QjDtc/IsuiXRaYmeFjrQndLQtB5/rZFnGq/xb7sIM9RekkcDbA2ZgZcqbrXS76nuHqmj5F+iCM08R4cFRRJs9tzKgnb19OhddOTglT5qQ7oQwDD959yIP3HiInHfckcVNgfXbGZnPGOqw5UeHz6xXdcKAPkTgd+Pq9c/7of/gfeeW1f8Bf25xwsd9ySLCdBk4FTpIgmjg5uUMR4TBO/OQwMu1HOglsmLjf99xJka+ebvj8CIMULsaJh4c9l/uR672SU4d0iZPTc+Q0UMaJaRqASJd6xuGGcRyp7POcS5NlQmhJ+bWZijofDoVVH/n6l77Euu8QCeSsjMUKTV7d7Hl6ecV+fyBnJXU9q/WGEK3E0k/piXF0vXxaDIr3j4XYsd6czDVqYkA8Tye5A7xPie1+bPWedvsD19fXJhSy3BueUf08LPLQsTOFMadp64Zci8kHIasBohapKoW5/Xiz+lCEhzcDf/jeR7x5viGFnpHAfhjJZaAoTIDGyGEqFMnspwNjzqSpJwT3s0TbrFGTI0chixXAq9UzY8VvIpRQWl13q+1iTtyi2RGXIcniTtFl/cZaiKoS8ywnUs30U1MmtdCZ4BGwYAq0TMLNMLLbH1j1Helkgwb1ovo1A1+oJRvF88EUmTvRtCXRZmwfrRGzl0qxQ8MYyxYRS6KkFPnh1QVP//wv6DYn5DFzdn7K9mZHCIknl1v+4Dvf57XrPedxRSmD+zyj55Q7emNWlhV0LwsdyqIQoAlYFW9TqAfgvb1yGYzoepozoRTS4YCUwqZk4pQtpibwWoicrlfscmY3FXZF2QIjysP9FZsucTHs6BA0daSUKIcdr6zX7LcDXVoRivLLv/A1Hr73Me9+6/t88+yENB3IUogU+tjx3//27/Pr/+Dv8OzJM9DA5VhYr3vCOLAmsA5rxmmkKyMnZ2f8ZLvlaQhQEu8NhW488EqAO1n47GbNvSS8IWvGmLicRn5ytePpzcChE6RfEVLiZHNG0YxmaxhS53HMc6ltJFiydSmM49iaXpSS0WLdqkNMvP/RI8AyOg7DyLhA4xK99HeKEDpDZMUJp8OLI/S3r5dWUsnQM6MUVusVm3VvHSVkJtjF4BEZxFDVYWCvI8OQ2W53zotY9qlYSPriRG+u2VZr2/7UDPPKkzFSm7RscFRnyNruK+07VJS9CO/tD3yw29GfrDk5OTcqQDDWcRALcJfoikOEkJKhLTGEBR40CIYoHBw70c4KkBn5NIIG7p6f87nPfZbN6QlXV5f85CfvWrgWnMWdqD6euY34zKg/YiKLRz5VMdVcUWgtcSzkITMOew4HCy93fW9dW2oKk6M+V38+1R6cEENkpRSPmNVSx7pYN5vwWr5n4Rp0M8wTWKMgObOJHZdZeXK5g+uRPMLJ5oTLqytSSjx89BgdD5yHNZvUk1MHIRCKNCRXxyooEj0oQuVF1YqQ8/DstM9oU7yGit/RTC8dkiFNAylgNBrgZIRTNT6eirLSkfO+4yx1pnBErEtSCNxk5eIwMGphkMAuT3R5YtN3aFZOu8g6BfJw4Obqgl/79b/Nf/7hx3xwtefNlNgV4QfbG/abDf/er/0tVqs1T59eAYEhBC7GA7/0pc/x7MEjnl5ckabCnZMNNzcHXuvWfDAeKJ0wlsKBxEGVCybunScCHYeLPSdkXlklvtDd4+Iw8uHuhotp4uHNjusghPWaVdcRgh0KMdYOQVbWmjij1Gma3PzT1vB3td6AwPYw0qeOIQNdb9VAagUIrB9jFK+XpgNRhL7rOD1fvVDX3L5eXkkFpUhEdWKziaQoTMPIul9bKD4EpmFEFE7Wa3a7AVFl3A8c9iP7/QHxukcCBLGyu5WcCW77Lr7TisVZ5MIQWu1KTCs1ax9U3+La2OjgoEbc9VwwjBnUTankPJkrzs/O6FaJEC2Ol30TokJKfesCk9UrQ9bwt2+QlCy8H5yfIyJWNiUIv/zLv8z/5h/9h7zxxuuEFNlur3nnnR/wT//pP+X999+jNoeIMTExMqcRzZEUgpKZa2SHljFfzLaXSM7m59rebN2PYGipAKkPIF5Wg1vcFJ/zoMIkjlXcMW51u6pymtlrhlD9+/2dVUENoxH/VLIhRS30UdgPmZB6BDtN1+s1Dx4+ct5MIKrQh8RFLoxOGaj+SDPv5ihtzupicMtUdb9acR+YOOkxl2wF+TRzvb3m3t37hJg8paVWIYBnKMEPCjBzOu4G1gFOCNwNidMohoACfOnOCZJtvbfDgX1WxmniardjHRP3ux45DKxDRCL8B//bf8hv/JP/lotx4IPtlre/9mX+/b/773DvTg9Bubq+QoMYc5/ML/z81zn71V/msD/w8NEjPnr/I64ePiJNEzrsGYoQoyXBm/MvoOvE4VBYnZ8gWrgZR3pVTqbCV843ECMXZP7k6SXvPnvC6emGft1bFK/uLVtUryahTNNErZYgQIqBfrUhT8VTlKyceMFr9tfGtQox9qhEhJFf/eu/yOXVJX2/ol+vX9ree/lSLb74QYTNxnKyJHQWck4R9YqSlvMzolooObO/2fH0ybPmh2o1o45u7vPiO2BZ3aCy0JcZ3TWp1M9+3663HL56fG/zo9DugVqN9pxHLq+e0e0jm80Jqe+9/C6z01ADIpVJzRGpMabEOE2uvASJFv6PMfDVr32N/+T/9J9w7+4dQBmGAycnG37hF36B09NT/rP/7D/j+vrSDKlFior50RwlaDaTpz4/c2RBMX7adnvF4WDQves6K0sThJhgvVmDWG5l5dDUUsvPL4G2Oa/zFmXuv1cd63XOWzS2lnipSjwGYrQKokkLaOEgXuLEbe8ocL29Bpz3VawY4MPd3p4X6+eHGFWkoeMqJ26KLgu8WYh8dvwqavNAIGcIIbLb7yg588r9V2wzMSf9EqEeA6pQApYlUOAK4ZEqHAYKE50qr/VKKsJ5CpxH4dV1T5kin990KIXh0SP+6f/l/0Z/sqE/WXPvM2/y7/z63+Kf/97v8Xf+3t/nF77xFZgOCMpUlN12y0knnJXCW+tTfvs3fpvX3nyVO3fv8qWvfIHPfu6z5hsa//+0/VmzLUtyHoh97hGZa62995nvWFWoQgEgRYJUGwnj2CKhHiWy9SCZ6UHSPxOf1TKZySSZJA79ILLNaCS7SSMhCiAFEChUFWq+0xn3tFZmhLse3D0icp9zb+3bBmXZqXvO3mvlEBnh4f7555+f8Ac//Rl+8LOf45PPXuLVpZFO0x740YtrPD07x5N9xrKcME97rASU2cYhC2G3rthNGdMh4fnr13hCDzBPE8q6NqwJHrUEYx1q8jXzPOH84gxVrGwmlpvAVRhcRTaadlASTLs9aGX869/5d/jgw2d48BBQBi7Oz3Cf495GqgqjQEAz4+ziAsS5sXrNVTTUJ9jgtRbcnk54fX2N07r2AkStXrNEbSCALVlQ4cZBQtcHPcQLsqYQkjIQjRBi+ZKVQYiD5nHW4NCQ9AlMmltl/bKsWJZXmOcdzg7nmCYjbVqWTRv4agWzVi5gJRrauhmbp2OZqZwSfvtv/zaePHnUFtn3/+B7eP/99/Hg4SN859vfwV/+S38Z/+K/+xd+N9ZoYKOeqB7Oitqz+tgECe/6+gaqply63+0hqpimjJyt3jB5zdf4/7YhjgXa2kLnWKItdQegRmtx0KYpgcn3BqnWwwBSlLJiztlliYGZgDzN0NUoJ0IVKSl2u9m9a+PSsPPOTi65ItWxtRbNbjeqOBqxl7U9C8G5dLVCVFFLhWX6DBe8ub1BlYqnT55gylPn6flpxZLlHly6OmpsilOGgnAE8DM10mIqwHxakROZRLIqHkJx4AmXP/zMiqq1IvMfYDrs8FsP3sP710fc/PDHePDsMXYPHtj8k4qLxHh/v8PV1RXOH1zgJz/4KfaHl/i93/l9PH50AT6f8f43P8Z7Hz/Df/I3/woyJ7x5c4Wf/PwX+MGf/BQ///wlfvLiCheHHZ6d7fCtx48wSQF2E6BAVgImxnptFAQmxdXVFR6cX+B0PHlrK1MOgcKbhti455xwdnGB03pC8XwVwz0usc0PvtlaLonBnKClAMQolPEnP/0EDy/O8Cvf+hiof8qeVBVjz5wddtjtdq07cCkFy7LgsJvbpEkp4+ryFp+/eI3nry8h3BmwLWAYmeGIxWfLIdT/AgBtExHdo4jvBwgfBETDgQP41YbBRE0XAa1gE2Q61CMV4ng8YTkVzNOMw9kBu9nkaKwRaW0GNBZL02Jq6XHrBjPNO3zrW98GU8LV1WvcXN/gV7/zXXz++RdIaTaVyl/7NfyL/+5fbAincTSmd9vV7B5ujre4vrlpej85ZeQdY5pz82DsSaj1S/vKinOi7oWiG/W7LPMIS0NShxqOOEiiqKXEo/8aQbFjxs264lQ9aaAr9rsZzAnHU0WeDVvLAIQJx1pQk3mQJORUhpBckTv36f/vTVy3EjP2XyaGkI3VNE/eGIOxLEd8+tmnePTwIS4uLtozx9gBPZxMFH93b5zDgBkssAIoafawV/FKCD/XiiSKhGLZTQguquLh7Yr9UnF88T3sFTg/7LF7/Az1ecXjhVEJeP7mFR6fX+D11SUePnqM5WbB0wdPcHl9jV0l/M7zP8DLf32Dw9ke7z19jF/55kf4+NkT/Oav/wZuyoqf/uIX+IM//j5+9Mln+OFnn+PB/gzvP3qAJ2d7nKeM3S6j0AsQmarrWhVXtzcotfj73c7vILnO0w6ndUGRalEVbMGJGkud3YOHr+P9focpZZRSXdyPQWnG9e2C733/R3j/ydMvn5fD8TVaWhmYeH5xjtzCu+7dxAQRFdze3OL6+hZffPEKFrh4/omGCaDBldImgdp/H6kb9MkzAKiqwZ0KXSrP3g0eAIiGzbF7QojW0c2IxYVi2psXdjzd4vZ0g2macHH2APNsiYIxH5E4NQXSxsSttbeukupEYKtvTJyxOmZjjUh5GI/wYtDwHRPHt8zK9e0Rt7e3EAD7/Q4iipwzcjaSHU/mvSVO3dMYZEv6WMYi7uHvEBP3iYm+MYSRtPflQm9emgGygm6zWqU1pSAQZC3Y7/e4LRWFQt2xIifCi5dvLLsEM35MwO26oIiienbSwu0A7u/MR9WORcrozbp+VMyTwfNdl8VC34Ff9erVK9web/H48WNM04RW2NtCyRF+6JtZn8lkJcqxWZK1OIcaa36B4BaEV2AkEeSyIK2KgyoepxnP6oKz6+f44pN/gj9LMxYpuOUd3ry+BiXCF9eXSJhxXG6QdzMWEFZlzGePcNSKH33+En/y6UuQKB4eZnz3Vz7Cn/3ur+B/+Z//Nm7WBT/86c/x/R/9Aj/9xef44Wcv8OTsDO89fIiTxDu2cTgtp7YB90y79abc7/fgxKileNsysc5DqhB1FQTn8gFAThnTNCOlhOp4lghQtQAsSHkGg/HFq0vc57i/kcqCRBPO9mcgt5yUGFNm7Pd7uyExIO14e4PXl9coNVCoUDwYXnNIAEPNuMB6sIxZpMjKhLtvM7KDTeK61YyEpN4yB2bsamsL1Ccb1EInSmYkgQHfGKYdPPwhENay4sXr58g84exwhmk3Ge5CjACXq9aWESEwtCrKcsKf/OB7+PgbH+Di0SOcro/4xY9/jj/7G78BSoTT6YQf/ehP3DLbnSakTa1urdab8Pbm1gzSNJtMcwIO+x0IbHVmACh149Nxs8hsuQHUuGNA4TpA2rW7ADRd8J7EMGOg4fySAlSdG+UbSlBRfH0nZWRKIM44m2a8LgtKLWDOWIvg8eNHuDleIwqYpRJWVJxyNkkdyXZt9eajGDxor0PrWdGeYTSwllpKveuTWQgy7414W8jT7KyoZDI3n376KZ4+fepelXZjTvZuRdmWCxkGx82zIsAbpcJ7y8X8saHx3RfWWVuSojKwqOK1VPyk3iLhiIuieMAVj1LGg13Gk7M9EimuSsHL04JVTe30+ao4zQmr2rrhPMEkXgSVKn7/ez/E7/7B9/Dg4gzf/e638au/8k38J3/DFHS//+Of4nt//Cf44eefYKUEEscIRfsciBrZRJimGbtpZ012a7Xehz63dPWohLI1R2Gy5iXEmOd9C7ereFbQCbU5JUTPSeb7mZ+voXGu2O0S9ge76dDzIWID0GYrc3j16hVevLnGF6+vQJyg1bsHO3ajKs5/ouYw2SR0bCSCjzs4AVTDwfTFFV5C0BEGbCWKTofdNz4uIihVPV42rhH5ywk4eNy0LVwyr+jq+gq40dYW6+LswmJ3RFZRodWY0KKCf/7f/wv8xp/7M3j/ow8wzRN+9de/A4Klc3/84x/jd3/3d/3ZfSzcYJxOJyxlxfW1LeTZmfzzPLdsH7N5TeElhNHdkBu9JKR5k2200d6fauq61jLSDHoIe7czM9yAb7NrBuKHVIs5OpbLVSSQc8Wg5gle3txCQfA6dRARLtcVK5k2uZDVt4bnHJ7dPE0oUvzddsWG1lasFaTTFiZgBqQiT8Zti87W2eVkRATPnz/H8XjEkydPrJJAgmIS51SPAOzaln1m98bbhGlhetjxuFeNsRs+Xxg4QXBLjOdIyBXY1xUP64KHTHjCM75xfoaZgFqBbxLhi+WEF+sJlwQcmVFg9XUPHuzx7NEjlKJ4cXmNf//v/wj/5nf/A549fYg//+u/gl/71q/gN77zK7g+3eL/8Y/+W9yuZeAX2mHNSLJtfgosy9LmChgu4WJRSsoZiRIyEzQR0pQxpQzi1GSHq1QLBUGYckZKGVFn+OWqGtvj6xmpffbmgepa373jbEqM66trvLk+4RefvzRiI5xDFRPdcaz2NlsKWzwc8w4Vo1cd10efrADagrHMmIURjfmsoSy5NVTxj1oVzL1iPM7T/PzhIJ+ESiZUZnWSNsGPtyecnZ1hf9i1RcHJmkYUEfzopz/Gf/1f/x/wd/+r/wW+/e1vYZ4yTrcnfP+Pv49/+I/+EV6/euUdZ2x8TusJtze3JjqW+mSJiWMhIlpFe+eTbd+VOB0iWNluMdqYiIobJuqDSwGAdizKDJS2azRPdRiiEbfKOWO32/d5oYIigmMtkOTaXtUwK2sjZifLYEzKWNVoLqQVYMLqZNfA+oLRHFLRkcQIY7TWgkSp/Sy66jKzSdrmDAiBc++TWKVimiZnWldcX1/j9vYWjx+bV0U+Z2MjAdCqH0z5lRumt8FNdaAnE6wvJLeBtIiBYoaZp6dkHtKqiltkfFIJea14oCseEONxnvF4TvjVswO+WSYcobhcV5wAvFiPeFoF7zOw5ooPnj3C7eMHeH26xfPrG/zb//cf4F/969/HxaMzfOc734QyY10XqKwI3LJnhp3eoxbV97DfMqg5Z9NEd+yYUwZnbi3EpBRAFXW1GtScMxhWcGyr3SRjVO4nfHd/jXOyXYyEkJN5NLVW0JSRJmtweX19xCefPcf17eoLyNroGJANYAjBgowwptQxvMPmJY+eFImRK32X9h/bmSJb6DF1I3uie1H2GL4AxTMXCS5C3y81Aq8B2gbvoy9KWxiXby5xdXmF/X7G+fk5KBmniZVAqvje976Hn/y9v4ePPv4QZ4czXF9d45NffIrT7S2Mx2M7zu3xiNvTipQSpv0E9sWWMru3hrawxNsoMXdvtLYS7W50yYuEASNeilreiohbuQ2zib7ByXcp5Qbaawut4k117tYIrLdar1qx1AL1ersdKUzQlgAyPC8B2KWEq8srWGG5tQcr64IVClZGpowqxcICGlp5M6HK2hYHVDsvxwvWq3t9qrUZK1sQsDHNvVdfzhkJCWtZHGRPSCwodcWLL57j6s0lnjx9gsPZ3g0Leehnc8EkxQOOGAwUYkoTTGGFsD87w9mZpdxvrq9xOh0tVFR/a9rACYDY84sZlRWvIHglBT9abjAtisc54xExLgh4Ou8xE+FbuxmlLuDLGyy1YHdBmAA8eXCObz55gMu14vPLI764ucYf/Icf4HZdsZxuDWRhapuhQqwRrySMhGKrH52sgix59o9sHfNkm2eMNURQV4VUgOcJ2dfXcjoiJaspnHd5WHFffdy/OSgzdvsdpFZQTvaynH6wnk6opwW3tyteX1pfOuO4SONrUfi9YZSphxbDZt2v16xV/4WhWHc9ncHS+991DBNB7qbHcsXms7VGi+k77kicN+Zcj5vaRGyNABTGrj+dMM2TdUie5xYqXV1d4vt/fGWLuyrWtWDyDNjt8QbLaTFxsnlqMieJcw8DAY/lIyxkt8lhhDxUVDTwMkDRNkqRQaTO1mZOPYHhv9vWTm7Dxw2zW7WD2whDT5inGdbYoeKgCayMhaTRNfbzhAmE5fZooGtRVDlBGFgqsHprcfWMXLwHdqkQQi8otpZoHWAfNzgoNgaVuXtPgBn8/X6PUlak7HSFanQFToRKlrD47NPPcP7gHE8eP0ZiCxWbYVQ4Iz9am4+brYXH+ynjP/qP/hL+2l/5G3j27ClEBD//2c/wL//Vv8L3/uh7qHWFQQyePUWE6OpKIe4FJ4KmhAXAp6r4XCt4FeTjgrNEeDZlPGPGoynhqQrq1RErFHJaoSnjYk54+PSA95+c4Y8+eYWXbz5DWat76P39qhMEI6yd8uSGhcE8Q1EAkp74IWpwQXijUozpn6cJKc9wYRd897vfxMX5AZxGB+WXH/dXQZj3Fr9rgWq2poLJhPJvbm9R1orv/+hnWIo5dEwE0mQsbQXYge0GvEEaQxyR2WKjKMTk5wAHqTOsfQq/EzsBwhW30MXac8fv3LzRaPnEHAoR5DAKd847/v0tmgDCZQfC5ail4GZZcU03OD8/w+FwADNjXVfsdjusUnB2fobr62vc3N5CpTbMKeXU9ZjYGkhY3zkzvJ0uYS3eazW+dGLDBgzU7fcZYUgQOEUKRFcAbCRNirDRmzER9edRvPW84yInL4lyQMk2EFVkmhoF5CJP2OWE85xwrQWiDE4Jx6WgFmt5tSPg2WThxY1UVDImf3C8xvcwpsQj5oxQ0NAFNVE4dB0x+5cXTRNa6VM8y2gISRU8kZXMsHlapRRcXV3h9vYGTx8/w9n5oXvaiLk8uOrxCw83//pf++v4O3/n7+JwOGtG4PzigG9885v4B//gv8Hv/d6/tTelmy8PM8yjj5atVii7WM3MWIRwA+DVWvFTrXi0Kp4y4TED5zyBywqG4PWVgHCBn7+6wvMXl7i9XQ3XTB3yEBcITMwAC6bdhOyE7ZbVpQxQ3RgpAI0fWUoBU0b2kJpdUbSsiswJDy7O8ezZU9web00+6B7HvY3U4XDW3OmlFiRNSCDkRLi6vMLzV5e4Pp58p6l4ePEQ1zc3sKa81aypBr/3jptH1HaigTVln7qbfYrXN8T/KtpeIDUQwF528KdkBOpG97wB6i7s5S5sIzW+A6fa3vowOwOET94m/Poa11fXLqR2DlVr93N1feUKpox5t0fOE1Lmdq8mICiubum8LkreWSXD0sa1NTxVo6T7wuwpeFGTDIE/f3CcWjitHTZtXq1jOC0jOIz3+Elrc54GD80YyERWokEKZGagFLx32GEtJzw/rqYXnkw3ajcpPjxkfJASXl3e4DO1oDXCZYhRKwJbovaM3VuM2tFawluz32j7//6ezKCl7oklBogtbktWEAWQM9eBjAwuDCzWnfmzzz/D2c0Znjx5YvjWXc8T/b4A4MnTJ/if/vZv4+LsHJwzrq6u8POf/xwff/QxHlw8wG//9t/G93/wPVxdvUZk1do5IvDQu6en4K22jRtIEM64JcIJgueqmFfBIyn4YJcwk+KLmxN++vkbXAnh1fWlyyGnOJFHGpYtnufZFExSxzVVCfOUDcdCJJ18blRY1lSsWNk223hXalQdzvj88+c4P8xIbH0XU2bc57i3kTo77J0iYNX7pIqJJ9ze3mJdFJ9/dgmeJvNMJ8KDBwe8fP0KIoQ8EdZ1iPZ88au8PYneMgjaDZKS3pkU/bvd15dtqNi8tWFHHkJNophUHhLBcAI4xeDdwm7DPcXuDt4s6pwmJMpQKMpa8PLly/aMKSXsd1ZcyZQslGPjOKfEWMpiC9OBYSZj/+aUHcysbSFZKJPatUVl+F6vJVRve2QkV2njaN5g12nCYARG3Ikj3PXF0zwQ+2A3IslY6pawt/6E02HC1UnxxfEESsDt6RaUCGcMfHS2A11d43xKSFXcE7TzJranMuPXw7Z2Xz7cVSookfG14AuO3ZATdylj/0LDqsQY4+zkVHblSXaqylqLgcnMWFNCKQWn0wm/+MUnePjwIR49etg20E0iQwkqFR++/wEePnoEBXBzc2NSvfs9Lt9c4tGjx/jgg/fw/nvPcH39BkYFAVrGMgwAYn75fEVEszFPBURRUsX+/hUnFbyqFT+/PpquWUp4JYLL6xMyJ8yTd6VR2UzxlBh5Sm1NdW8WKNWUeac8+ftw1c2qRjQH9eQOYplbqRyz4vL6GrenI9IN4cGjh70f5y857mfKAFPTU3M5IYJpYpR1xbIIPv3iFZSMQ1JF8fjhBW6ODgyS9fhSZSixWWcb/bfCia86NMw90IBd/4UNiAPVX4XFbb43HG2HHq5mAVCoDPySexvO2xb40NAyMiaRpYvwbpomTJNl7ZpH4IztTWjjE1WqK1ImnwBgN1DBttYNhjRmuL4qlB2fI7NlwNxkGv4VlJEYDTci0gApAN7JxeRVbPx2DOyn7D3/MqQKHjw8Q5oziigeHnbYJYJmhubkUr+EDDOqoupk2a0HFeMZ93z3maLzEMjusVFm3Esdxye8ToB6VtDLmnbTbH3m/F0FeTbnjNevX+OTTz7Buq7tXAxbHwyzGSoCzglVKl6+fIndbodHjx7hJz/9MTgT5t2EafJ37/0hx7n0NuvfidPtM/GMVjy9rifc3lpFwrIYN+1EhGPOOOUEZIbUYmRW5s24xrOP/w15oBGLHbOpIeFi/fnQlTZGaITiBMar/OQzo3ksy+ndi+kdx/1VEBJBK7AuC+Y0oZwWnG4LXl4e8fr6GvO8t7CNKh5cnOFnn7xAFeDsbPLwRcEEzIlxrEtDle5rqAh0BxC3o7GnmoaQbkDMjVG6eyn74AaLCcDQPITeTaX/P/lX7iz6mGCIXT4wMrunZojIJIBTNi8rlEy390rNUEFhE72KYXbtpZsBqtWKPHPOltRwr8k8Q2nXV/9aA8mHgYzrhpEMT7R7CXAPSvsgvvXarF/bPO2RmJGqIKvielnw5ha4Oi6QUnG22+F4fQuCyeDc1oKbsuJyVazVxdCc52vZRbvf0WhHuPa2ofKd3709EJxgzMP7inc5vKvNW4w+d4CWYsqSwmAfl5qkbQTLcsLnn3+OBxcP8Ojxo/bzUs2De/PmEquz7j/66CO8eP4Fbm+P+K3f+i0oBK9fX+L1m1fDuG5xzwZ/BJSB7j2ar6Aoy+qAtdFFMptRbaGch1yA4HS6AVCgNNvV/MUqod17zrlFL6qRLOnk5TBQtdYmlJedr0ccygl9ekWTiNhor65vcDwVPIYV9N/nuH92L6lxn5RwWk5Aybi5rXjx6hLg5ItAsD9k7A4zjqcjFIKzsz2Kt8/JU8busMftutwJtr/8CDXOpPTOwMsIdU4VoKiW90UaC42234sQr2UnWt4wBPj8QhoGEP1nsFDibR9UhwnUw0tmA++l1K6rk7I1GuA4t8uwBP4EQvQMZE6QkMRoIbG732VBpgxKDKniWIU/PXeVUgJ6eOcYX3fJh6TDIMPrf8Fmad8x/OPCZ3WvkU0H6oCECYo1M2pOuK0CpYTDfIYvPvkcEzOOUiDpgKUCV1VRCmGF1wpDMYcEzmBkxk1nxKmYosZvkO0R8vGQ5kFVqR7ZR4BG/upcAie8BJgXJKJgtWxemk2Xe1mtYQTRjFIK3ly+wfF0xKOHT7DbmzYZQPjkF5/h5fNX+OjjD5A54+HDB3j86DGIE2oR/P7v/z5evHjZuvvYaPMmrDZSqJqCBIC6FiyyYi1rI0w28iU8FIxkhnPL2NdnWS0sFhSQpjaeldQ2ThdzZF8TogFP9JrQMFDWO086Z4pjLsFLs21eW4YSIIkojPHqtfXtzHm6u4jeedw73Ku1dnXIAtwcV7y6vGztlpkYtaz48NljLOuKUlbsJhN8s46owGE/gcjqfeJ4l7sef49NfxuR4x3fjSyIV2DHhL5HqHbXnRaX+njruyNQj7dDx7th5HjeWjtnhx1sjuyjZXy6h0JtclHDUgDbNeEJAvamjYHP1Gq8qYZfEHWc6M69Ng7UEEp8mTdLSgYqKw+7qzakIoqfLUyBKRfAwP6JCjAnfOev/CV8+7f+Mj78znewrhX7wxmujkecnZ3hO9/5FTz+8BuoSLheVlydjhAptlkwsKxLq/2KUCMlW1zJKRn9uZo62caTtrHr4S4n3j7v4BWP3lrPZGoL9VKyMCmlhGmasNvt2u/KWvDF55/j6vISKhVSCq7eXOG//cf/BK9evsRpWZDzDoqM66tr/N7v/R7+yT/5x43R3blpYZkiHLWQ6vbmGldvXuPm5sq6LRM5eXbXag7Nm+FNZUC8m3VdUGt1hYytB8qwEDdx2hTkc0qYnRYT4xg0A1Vt59qEjF4e05MAPaRUAihlfPH8JU6nFbL0jlFfddyfzBkuJxGW44qlVFwdjzCVGgJEsZ8mfPDsMb54dQkiwuOHF8hswGfmhIvzA66PNw7m+ji2Gr5hh25eUNgGRRMA3kzMwXUPIzF4CJsXQe/IKg6/H43Q2wcN99u9qrvnawuYt+cY1QhEjBjQDBB1j4uRNve9NST2bMbP6W2Lmncjlg1c62qic6pInsmK7r4gNy5EzRjfNVQRtsY7N0fWFk+VajV47jHlbDV2Rq0xsp95AIIdE65XxT/+V/8WlzCQepqMhnJcj1Ce8cc/+gV2a8HTxLjY7/GSTgBMtoUIULHC7NEYxxiP2NvmPaJ7zSkl1LW0cd8Yn+G1EzqYHllM8Y0jp9znJdm/idC8GONaFWuNdSp49eIVjsdbPH74BPOU8c/+6T/Fn/z4+/hLf+m38MH7H+Hzz1/ghz/8Y/z4Jz+yrkqjJ+vVB+ElqRCkFOvcnRSaTBNrynmDJ21mah0W1xA+3tzc2phwGig9drBDB1PLWNopErOHa9IoBrapdlywe7IDZcThl1bfHnAKkXOGM16+usTjh+e4z3FvI2UqA4JSKtaqePXq2hHCCrC1+v7mB8/w9PET/PSTT6EkePDgDDenBadjwW63B3LCWmoPtxCt14M35To+avhT5yI6q0rMqJlMhmyM01vAdTN4Xo6hFh837ClWIDxdPWg59WluagZ2PxZX97XgWajBOJpvlFzVoZ+H/KUbhytZlg7BGN96fuFFVTXPNaXsOJHb0Tvem0WNpkKghGagAGdft6YGpnAJZmfDA8qRqu8sbKMzeMW6lsGLdbJfBZayACw4O1yYoSLDsoqI0/YESRkLFK+ur3Fy4JlJoVJQREGccVwZcxUkFqyleBMLgCg7w9n4OaU47857wjHYF0U/Qi2BiFAiawfHUdQ7zABOE3dDjYKAeUZ1WPH2NMkFDMdMYmyU5slM0CqgxEiUscsmbHg6nfDZZ5/h7HDAg4sL/OKnv8APfvh/96zajN1ubwoQGo0PLHQqq0mlgLV5PXlnGNHkVJKq1ciQGpgcOZFXvOnnMDY+r9Z1wdXlpW+WtuYaHqcmbJi4e0tKhEQEIkEpJmBp9yo+Lh1cjzFr3EaQ6ycZY55UWjfrAGzmOePzl6/wrW99hPsc9zdSnHBaF5xOBZeXRxQJ6VDDQ3ZzwsPHF161f8L54RwPzs/x+YuXEFlxtn9gldB1y7+JUA2IsO6OJ3PHEITvhOEb7/jC2w9Ab535HcCpfxAu4ULG+91gYXcY2f1kYWjdAIcx1MH7cyNoqqa9w+/o0TTDqwpKxoTuoa8ttAgf7Ra6jHKAnP18PIxpp2/U+Fy1+4jnkFpbeEgwr614GyNVSzNHLZ+668/OLQsZZWYG6opdmpEzgWqyzJUyLh6coyqwFmCXvXWXFExphoMakLoCmGMUbTGoy6s0xymaUEhENBvPKoxLKYt7DdSmRGwEUaPY3xoA7WEQUR9nJt5kCCMUR2BIMINS14J5t0PeZayr4PrmiGUpePTkMebDDgxyqemC0+kWp+WEtZYWnmWyTKhCGsaUXNYHLuSYvdfgW8uEGDnbxjdyAlUVr9+8RpXqDT91+32C63GNgjS2oZUizaMPGki0VwvPqXnzETar14bCJFg5vPa2ihQg4/395Gef4j7H/YFzsuzN7e0Jp2VxZm8CYBrgjx6e4ex8Z5T4VfDRk2c4O8xYjickUpztjURo68kWTrSL9oqytvPpnZfQvSOga5lQFx7zwW3hFg2eAfWOthhO+2W4vZ0jDIACFFM4shvDSx6aPNjiNhY9ERtQGIZlNFQQ8yTUyZja68uYzTiNZShM0aHWSZoDVhUYWoxRTIh+zQqR4FMNvdXgJSWiqGVFmibTEWdglYIEUxNQrZvJrmI7vAH8hGVZkHYTkgpqXe0cKqBSkWZTNbXOwwnrKjgcdrg9nsxAu3nImTGlbEaKjTRZSulF1aBWcoNhl+6BPppXMRqVoKyIFkTbNAuBu+GP9yguhh+dUWLhmmkXRN8+467VlnmV2kP3Wqt1RFErfZp3hltJqXj+/HOknanATimjFqtptSamE3K2kJZ9U+GctqGcAqTWRwDe7KNvXtTwQvhqCslfAlnB9PGmXS88uNELqu7BigLRKcfmZJ+3Ft6F1zRk+3zya2TXyZIWDE/OSGiaDmuZCLv9Hl+8eP3uRXjnuLeRWkvFcS24vL7p5RZuEADB++8/w7e+9RFeP3+FXc54/OCAJITTzQmHwx6HwwGXV7eo1YHNZiV42O99coWeuMZOFQbNpYd9pzdy5zBdYzcYPa8vMUZxGNGMTD2ieSsazoedZiPjYoYqSnbU3buu0xShpX2e3IPa8p7s2azI2Twcc8WxmXD+wQG3CwpDGG4XIHsH3iYiVioT74qoLX5OCVKBBIbUE6qKExm9U4qGV8XdZ/VrRHo+cwZNUbdm5U9g20UntkLiU6lIlPDRN7+Bj97/CPM+48XzL/DBB89weXWD5STIIJRVsLAxkwnZslBk96/sRiNZZo0R0jLq2IkXtaoL/ioZBSBZcbZloQoSTR4WayNt2jCT9W6EelmWIjuRVmUIqcg8a4CaMgAnhpA3Q83sXD1qtYAmgMg4pAOiYem0Nz2yeTf75hH0FItWsm9A4+ZjU1rapqgaIbrYRuIyvKbN3zeVdV3x5s0lVL32Ez2cv3uEl9jmTtSKClxeBe5b9Kz48OVWbeaz3sbJ94GIImy43Wvzaov7HPdvDno64vL6Fmvo9Tg+QjAG6mF3gBTFze2K3X7GxfmMN68NJD8/PwOzTZ5ItUdha+OC9Cdu/7Gf8sbY6J3PafuvHWEowrOME/Xwq43TdqfyWIJb2ypyN1zde6LBOMf/D/fu4yIhGePqkqH8GTtSeHsYdvIUErmi3iZrnJzWOhyIchkvM3DeTigkhgECQjEgmSwJA2stLTNmgKx6EWjgZAp4qUNnIZjH4kCYY0ZuaJlRSDBRAoulqMtiUihKCXNi7DnhxIT/7D/7T/BX/sbfwNnhHCoVNzfX+PnPf4G//w//G3z201/gPBQyMmNHE9bFmpimlCCTorI9Z3iCtfbnDGMe2c3A5tq4OdhrNadONJXugSjUm2Yk977Fw6VIKnhWEyZR0hIQAgRtBbC+gvZX3+wgDVgOIzRupjsXiSylYMo7RKAPoNW6EnoWuc9L82ZTSh4qS5/vMANk3XXs/l+/fuMel1dPqHla3OPm9q5puFZI16iaoCQ7CVud0kfa1N/7ePs6JaAz/0WbeIDNNfPULFwkIN/P/NybgnB9XHFzYxXbxAPmIhXnhz20Cl588Qq1Ct57/wmePnvs3WQJF+c7AIqlrK5euS1WhQ9QD9HinftAIMDf0XqP2MtwxPqnoCV8yYMTo7Gqqbu+di/jjRFUUgOtg4kjiLKZuB3vXEwef6t5SYWG9LKHE1Wq/92UC4usqGqp9upYz11KQ3s8d7cM4PWJIFtdpZyzqzvErtsXbvPAYhdWKwqNBQ2wYxFbI8yJUbVaOKHGt8kpI1F2tMHc/USMnRImyvhrv/2f4j/9L/7nePL0GVK2Rp+7/Tl+9bu/hv/N//Z/h0ePHuFsykA2Lhk7twswQ7ssC9ZasA5h593s7u3tLZZlQfUwsUi0St3Oj7tUExtjD4soo9YuM9zmQaOH9O8FXhX/Du0l9TEg6nM7qgqCJhB1cfGdeZpbpUFw7zxR2kKuEauMf8dGYzWWjin5n5hj1y4HE3NlPMbMsRm+ruIQY2OFwoyULHKwFJJ534kIhASiFHBU37LdA9jqvXVyCDNjztk5Ae9w6d5x3NtIvXh9A6IMdunUFqwR8PTJAzx8eIHdPGGeGM+ePMKyWIX+4TBjt5shEKxrcUuM5impStvNN8tyBI9CT3v8MfniC4iI+p+NhzMezTvrHtQG04KD2sMk7MYzqH/cyO1RJycq5vZ7aMaUmqcZ3+0rx/5YH7jOOwlyXPO07tzzuIDuptvDEyOYJnV4PLUWG1/pGvRWRuP0gZRQRZEdJ5Eqbec3zSqHlT1UCb4MEXmLLLSd+7QuptUkK0hWnD96hN/8q3/V1BtBKOuCP/zDPzIPkBkff/gR/tZ//D+BQrG20C1hN+8aK7+uq2W8qrX8lioelfEGJJDqDOhi/DwRM7irt1yKDSbGN+gI0p69IKfsZUemDKqqzvnxVdgWey+Gj05DzC4NPBi1nDISJztX80CHQnrHxsACsPjW5wW94wahfS4HDNEJy32x9J5AlhQ43h597vSsdb+2e/3Nbe7Pl5LNn5xyV4twrzPCUDM6ViWrToAdoxKQtohCgfYdMAHJ9MtE6x1v4MuPr8GTSmacKAEoSFCQVCRmvHnzCp8+T/jg6VMAhLPdOV6+eoVSFjx+fIbEijfXt1hX26HjeUhNM8eywmah25gBzaUaQ7khGrR0sp0I7afav2cu+d2XGeek4YSBOLUAE119QRAyFeZ9ieeUHCej4cxkRa7mq5ius6Z+Xnc2fKLVtjvG90MB0mRbrDVVbqGItoUVK89CE5d0he2kAR7XtSLnyPxpw79EvAcfgCKKPO8AUS9ipgYcg4AiqzWfTBmn5Wj32SZkj59jIxc1LIgguHj/CXaPziC64vnzNwABv/Fnfh0///nP8I1vfAP73R5/5td/Hf8B8e4zVl+UOWWsIiBVlHXp84UZYELmCYkTkmaoAKfTCVW972M1L3FVAXvbtSrh/fTxVVUkniDV6Am1Za+MsNlEgVw8r7HbQS1cEul4YamdyQ5Y4biqaXpbRjGZX89oyhVECZCKotWkb0CeVR75TwOgET8KqpdvaOKNVBvzW9UyVK56wYjscueYtRXhyZaQog78zf5Njbaj/q7NGxrXHLVzMqz+MsD5hq1RbCd2vupVEDzKLn/F8bXInIH4kCqyVCS1G/ri8xNevHyOH5+d4/1n7+Hz/RsDH8naCFnbqRuUGgCaxvO1+LsVZaK7trGiKS4fLzE+FXIr423qYNXu/jKAdorMW2cVbx9Vt1/zTwgUrCaNwcR3yQlQ0abxbfKhcb47hlKjBm/rekcfsiaV4u77NFnx9saj898hQg6VDWhKzJDqA6zGjwolhHVZrJB5yjbJ/RyllJb6Dm6MyAqI18ClbQFqTOhgIjNZAeucgFVWxyCSAcLRfLIK5mzKAqIFIisWWPE5qSJlRpoSqhJqWSGVQE6DmKbJxhhoiydNDCoEVHhlA3mxaydh3i2y7uRJv2cnjgTuU2uBUs+AbWkk3WiYZru2jWFc/IadpeaZFm+HBti2GfLOQckhoBnBtw73+O+GafE70+BXUDXI4XA4w26+RT3dOvwQ59xmmo2H5s+iQwNZ9MRCbL5juG1n2pJiqXl5urnX8SA4j0pD2eFP2ZMKnAWwh5lELPUMxcOH5/jg4w9Qq+LTz1+hsPEyoBXTlLGfJtuXKNxhbe6pWXoMw4gNYBkPHeBeWOUW56q/Auox9ZhJayUCsJ3PDJC7M18ySEResgLjS4WzbETFhEwEdrpBGJuGhJBnUYYwbxPIxnPJ4IX5VlVdD8n611mHjp23Bpqm3O7aOEDFRAdh2Am8ey+xqSW03d4nj2VsjEQ6z3PDxkopHrKwtSpzzMU+7x5kSpClc2Y603g7buxF1JNWPP/ic7z8/CU+/PY5Hj56jNevX+PqzSX+/P/oz7WU95/84X/AxTTjZ8sR4tkqYu0G3nu4BdMZoohGpJGhIyJMU8apWLsq8gxdpOhjIQZ4HfhdGK0ixY1YT9sHMD3WBtp+EMXnMe+0jd1b04m7IQgvy2Na4wvCs5YUqX33lGuEfj5d3FhI6P8jPOou6UJubK2ry4KHDw84HM5xczKW+djWq91ew4xgHnzumx5gFJV4rrbxD/O1hbB+L4n72tNYC8O6NCgioBIPiaf0zvV397g3JgXAdhcCkibn5Njt7HczPnj/Gb71rW8gz6aNLBAsa8Hl5S0+f/4GL15eOc5RQc4mN8pUVwGARbhgdU0fMJTNRe6Gu2l6ooM87osJuUKjR3wECwnjz8bNtUnXfLS24ghQewZr6MAbYNhi7CibGMYmcAIyagKca+Rrqh/Un6Bl1rxGLqD+FveLoLghqdV0f6RG8Sv35hAJEDG5jCoFnBilFlQqABNKtQyhaDHWt1b7vIj9SaYVVKRYSaisUNh7Eqlttx9LS6JOrCkzuGJoWQV7mvHi5Sv8y3/+z3G8vgZUcHFxgY+/8TGqGEb2g+9/H7/zz/4ZpkSoCii7gVWjz1Iy70rRa8aKiBfa9lQ7kTcG8GcQtXbzUhS1SCvZCfkZ01q3/6obmFKKFx6bgRTH4eL8KjYXppQb78cpoi1EVCEk/x+rg+kElBplPo7jVW1whAHuFVpXwAmQtS5Y1pMRp9cTVm/6odXC+l6aYhnddV2wlAWncsKpLmCnC+z3sysS3J3fNuVJ2dcFAGQzIGwhY+BQtruRZ/MsrGxOgFcEcLJ5ELBDg0iGdbY7zAAZufbjb3yIsq6YOGE3/Sm3tOpBFrCyy/6rWcdpv8dpqfji01/guKzuurtHQoYJSKnt3+Fi+ppt57fNxkE6CMZGDN05vONChoel/d93Q6kYLAtP4FXeHVC03/TQL8xI2/2gm+v3nGF3zpMTCM14CQaT13ZDwAw9KEJKmwBbl9yO5j3EMxJ7ISnaBI8jwo1gBUuVloHtJERbpNV3y+TSLlqKcaK4YzXWD83wK9uIiqfwHZylXkGPWLJimR/25p+v6wn/7t//e0hi/LW//jfxwUfvgQioBfijP/oe/l//8P8JWo4o0w6rQwnqjTuS4zyMZLY+8A3Z6p4DPSSbpsm9y4SlrCAo8jyBiI10GpQAb2sVrPvR8Mb513VtPKFSCuYptUVqtZOdUEwASoR7oi1MbixyJ8rGMdI8AEugRAemUgrWxTLEffPtiRTDd3pIH3/GbPCUrUQt5Yx5Z2okfbzitvtcs/kBrx6xZAuYjdkeXrh71+yiieRKDVWtwYWKlS3B1ThV7FwqJt764dMn+OnPPkGe9jhe3+Cwm3F7Wryj1C8/vl7tHmK3B4QSwIzDnJB3OxzXilevr1FVQe6aBlBGvtNa6GSYljgYZzWB3dBE1kCo+u/Dx+y7wd1nCy8aGgs6SJJuYKi/8hZmwkODhlUMZqWRN+FP3X6D+E0hICNi+qifU5TmUY2GdbxZamPTOteohcLx8/GIKnjbtbb1UttwRBvbGkpeD9ZDA5IEIUHRFXOemqCcu5QtRIrJqsoGhssKJcuSpUggMA/hU0V1LyUjI6EgMeG4mpb7H/7+H+Df/s7v4smzhzi/eIDnX7zC6zdf4BsfPjFdsWmPouQJlQBY7dqJwkPtRmpdV+w8dd808n08UkpmYJhRilfriwKD8dFkHhZgkeMmzT8YwpHOIbXAeGQJkbmK+QA4e5/IvDDX/RrfX39XLqnjPDdVDYcbVsQLKyp26o15aFa6FCFWyEbHc2+Y5wCKVFMUTUZ9GI1UwCVwQLuJ/GVCpNzZqwGqh5BMYZS9IkQDm2sT2iMXM9BQp2c71LIcL/H+o0f4+c8+helqVxz2O7y5vsJ0z3Dv/pgU1X6D8OgpEWRKUCacjifcHE+AeuU0tHGGeoxNJtOi3ZuoChA88wECyFxg+7RN2ZAMCewmfsY+RuH7QNVLZTrRbvsM7op6iLnBrAToZdvAaCvC19LhxXD7kF3HHon9ym9fOw6O+3ejttUSese4a+et7HY7mwTR8gnUSzza+AYb34y1BvHQGeWk7JIqnfYh0q188t3SmhYYubEOTUMtZAcAdhxFgLoCzp/KYEwASiWcyi0Ohz0+/eIFrm4vsZwKOBO+9fF7ePPmGpkYlKMGjpoBzDnhVIuxzd2p0GHTqVLa5hWLL3NC9dKNUgzkJy9ottxBcUKxgAaJ29FbHUtrIokQEkXEiqqlyRWNnDOptilVOP9ODbxf3bOz27YNPuWEdTGPFwQzolFuwgKlOnjJA/isQCRgggPX7pvIQi03EsXffc6ThWocToCat0eBpxmonzghmuSqindzYa/VtIJmewTHUmBYmrHXO+QS9wP1+j0CqgC3xxN28w5LMa/zwcU5vnhxhS+Z8m8d98akAnMRMhNim4C1MFpqwYs3r7F4sSRxaljFiBzF0hCEBKr/XMSzYh7m+S9o4IjExACibqi9R98B4zvo3w8vbjwaFoW+I/gfNzdbA0XkGJOlTBOF3lNy09u9sEgJx07SL+n0BHobcI7JA++Dtx1zbc9Sq1pJUdAEtH17E9aqg+4RdgBebhL0hIEs2YDwILP6+QwDM5xG3JUnWKhi5Ry2o7fkAAJ4N1G/iTMYCddXl5h3CcdyBDhj3h+wz4wPHz3Am+eXIJpxtawoDA9P7VwhsTxK3sQ1o43aJkHCDOaMnCbnLHXWuECtyQIBqzidoHZOWIzDGO6F9xNhVOBigLW8Ig0PX4dxtKGwEh3r/Gu/rxZW+0ZQavE5qM24tRKUNv/tj3j4OKpgNjwwJpGahr76nFDp5FxHOJpHzcN3YtoGpmRTUDfzonlr0teLDJ5tjM04jubtxUpSzzwKnjx6aFLDaiV0mQkk2/n+Zcf9jRTHQg1vtiJlYJ4niCgub24MAPWSEHBYX1/4DPevtV21u/dehKh3mNZ3DMx2MYq7CR38bkbmq55D3/V729VGw7r5jn3R8HuFA+rZvEaNzA/eernxZYOpouYL2xfM1HH9u3c1GjoFSL1CPcINN+Idp7GxCOPcyId+vZxzw7piQbYJr9pC5LjqqOMU37GwqvPPCMkZy3b3E4A5TYBawe5EwPlh9nGq+ODpQyy3N8MY9PIPon7NuP4Yzo6LIcbHjIphQKY/Pm9qzyzr1Vn84XmGNxL/XQYBtgDqx3T9eM1YrCZbVFCkokpteuelWHPcds9tPoQxcxgk8eYZx7BtzCqOmcqRDmBaYV7roGJ/3OsuTmQlurPEB8MSY+yAE0Cd2hJh9vjM40YIoDW7iHHU4Tnb4lWDdw772TKpOWE3Zxz2k0u//PLj/jwpCHYVSNXc6MIKzoScGcupYFmq8R6FQN4UlDH5pDd2dWAuGuGEL7r2PH6lDXu1je2w+Bv4PMTHPi5mUKT/DNgYu+iI0l5AF60yg0kJRrQExh52loWLv4W7HWcxIbAA5/1HiJug+MxgTHtreb8yDbdM8PgfzYMBqXXaTfZBIyEaK3hdVyt29QWc0wRVE6iDAspe+qP9+ZnRmOjBlWpGzd+BiCCnyQF526UhQM7Jw0pGFaAUdUlkxZQSllpRpOLBPKOebvDw4QWeP7/G2YHx8GKHLz57DoF66ZaABaAIfakb3buqj4Cxy415Ti2UsmTMAAco9VZe0jXbk8voGiblPq+n7jn1UG+cc8V1zhN7Pzql5lmIWCNMwEHtxCjwGkFPRkT6XVWgxXhVURhvcyb5ezG8jzAarQjnUg8j3ZgbppRg3Y6Nf4bYBGHelT2DbVyx/mKmm3BhHhjufe6KKDjZll+HjXDcNM3Dk5YwsMapngEk39B9rQsJDhez6YYtltR4/OQBfviTT3Cf4/7AuShmAXZik/PEBJ4yOBNurhasqxcyajFU3zNAEAG7lRefSBb2eZkGANeRsGGivvRtgUdIEz/xwHEMyQZjNNjwFmLScG7P63XjBni1ew93qnsW8M8PFigc8q7iMNxH7JgB0McHzPBEyiEMQRjJKO9QBEZEFAC/jz0ncKIWdlRUK+Kk6o04O8+HmVFWbyBADuAzoD6hQEZPiHsJAT5x3Mkete+cxQ0CsWXQpjwjRHJsrbKRdBOjUkXihFUqigqyVPC64Onjh/j08xd4cvEMdDpacbMIRAi3MFA65F9CieLuomiLXQz4tvfiYSgxQq8o54QpT+7BWOv18BxUt0D2clraBnDXQ4nPxCKsWo0754Y9dLYIjFoWVCgm55mVaqTSWqprQcHamykaBhWhYubUsqXGJfJ32bxhf3Z38RkwYD02Mmg3zsMiqMUkkMSNlCpvxjIMX8xW6MidchAc1ELuu1QGUWn6Xq03n3joF7r6bhwrFNMugWAQQtWKB4/OkH6Gex33D/eQsTJjJWAlhTJhmi3LsiwnB+7sZZIAh6p4KCvOpWJfFbmqq/RV6xsHBUMMfB0G4Z38IzUaZdzJu8KqsCuKXqSpjI7raXgs4bUwSFyKhJ3u4C5v1IWZWan9BCoYbNsvGS90rhaRD/W7shnd2DlNp+H3kbHa7mAKdhH9ImsD3uN3qtq8gkb4k74IzduKtLuX9gxdRtokFDeogZl4WCCtFCjqAytKFUxpAmrBTEFINV5QOd0iyYr9nnG2y8DNEQ/zDkkVKsCxCNaBbkLDO20t59NIeRjwNGgrxrXEkxtWWUEJmNLUZG1a+AQBWA1YT0aSJDDKYgXerUWV8+6sp5xNrKWsWMrJVEtZmxJBYJbW3mkbJjZBQrXEQqnm4dZam3De6C12r3FrrDWAdtfTmvNsqAoUyedLw+ECl3JKyjh27e+k8KbX7fqtTfpAyxiPu/8ep2/DB0GISlIjOyughP20w/l+B6BinhIeHg6Y+KuhmXbde30KgNCEJWVcZcJ1BpbMyNMEKLCupYGaWCsOpeLZuuJZqXhQBHNRZOlr1fSYvAIujAgGDypiHgAVgqqR19C3sJ82OGOI6IYh6gETrFElCKhQK3Akj9cDDGxgpTWoDEpB92/G///yYzAnwx/7zZbqAHP9PYQkBTKx/YEV7xITKNEdALl7hjEhR5Gz2K1bC/QYN+ogLVwzqpSQrA0tp37v4kXdzZAB7V6KVFN4KCvKumA9LdY1rgiSb1Ygxm6aMYmCjyf85re/A7q8wcU8e59gxZQyRIG1VizFDG4of06ubR6eTHsOteddy9q9hBgXX3UhGmdzo4fBERYHebOINx2N2kc/QmWguDwNfI7lKTdiZiQlugpKN6DGeepF4zX+OD0hCKixodzFoZqHrz2SCKyoVrEibBihujVQCLfGAVIV9Xmh7VzvxHvblBzUEuhOcipGP5JTsOx0TwR13LBJCJFJaSdmaFU8OFzgw6fvI1XgMM94cnGB8939zM/X4EkZI7d6ZDaljClN1oSwrGDv/VwhmIgxVwVqweTZoWCYd6jURkO9CDg81kY7gLm1PhUsw6TmefWgqr9IW1MRlmk7i3k01N4Ht0HGIExHVpBJFLpm/sxWn+dKwp1cOsaU/knCUMow/L9d+CsAQnVKBAhCgzY1YWug/HRMtrszM1AEbRt1I8hgV1cQVwvoxp5g3suUExYv3CVYca26d8wpt24ftayWwqeMTAmZOSpVUEgAEaicAC4gFkyckIlxWxZUXcGieLy/wIulIE0VuQh4BxzXBaKwgnLXUTeddJcv9vcaAn/ZPSKBWLmKVi9ilc2mZQsNmL1VkpC1+VLlDfDeuqbA8LzM5tHUEtk/AdiydCKCqmQa44omSmek2bgPHdLxvurVS2KkIhEAEe9pp27UesHy6CnHzO6Gy0tJJDAsyyybtbD/moxW8U2qtlD47bkGuy8H7Ft4J6E51d34Rt5txp66CGCELAMs0L3B5GFrhlQTR5RSsJ92+ODpU9y+eQWsFRfn5/jw8cWXr4vh+HoFxuEaAjg72yFPGVfXt9CBKlAVuFXgSIoDEWYyL0Z9EMiNQRiaMChmTNTj7h5jWy80RUjOKYDopNwiX89YNOIUwom4E5upmcW3JoWDlJ1+4DgMWamDbj+MduvDb+5Eqduh2/zSns12zBbXeVbRvUti4yspjGhCvnOhN64QrWAH0VvWBXCNcGdGA03Ti0C++IBStYmuRSo8JweRtUBXm6Q5zVaWBHKt7YxYgFCnOkCdPsJIECQGTlpxNs24mDKSKnYqoNtrnGeGrBW7ZPItOzDOckZaVwv+xTy41Y1IKQU5J2v7RE7K9WdtypdtoRvj/3g62uIK9rNF6YYvJUaVsukQ3Reqj6H0d9SzmwW1WvsoM3TaPqNsoXJk1mwuhSghWnqfyNnlbDy04L3dxd2ajHCQWz17fDpZZ5nD4dC8e+pJ1raxxTxo4fM414c1vE0QbBNErXVdU4/wvZQ6XgdYmGtZwEj06IbwyikDi43zWk549t4Fvvh8xloKPvzwA3zw3sMvXzTDcX9PKmJist304aNzzHPG6VRgeiTSFt0tZ7wmBUtFZsUesdjVatkYLXyLwspYUIjwB2guLLmsSRt4/0QfVliMjfZ18xrirblhjcI+88AwCPv3n2ljmytYUv9d8/QwXCc8N9zxrIbjjn1q7nt31/ovbVYZ65up5RAZ6BpWLd2/BUybFlVzvT1rB7GMqxcKr3VBotQWVMoZyvYeDNQ0sf+E3BQC9I4H68NtDPAaOlj2nnZMeFPNW04JOGQrgZizApmxVEvbkyomTlirooChjtFkSla6gx7Okov/R8o6KAXxbhXGYSMy3l6V0nlXCqt5vMOHioUaGJLJSLu6hVSYjhaQkhm/hvdxBiIBooCmrlvVmjPEbgpAqzRBP8u8Jqh01YR3GalEqXGoiAhSpPX6Y2ZXatU78657N+3eMGxgbb+mjZGKkBhgiHQO1+aeiFsZVZu3hBZ6A+bUhfdr3r+g1mIS0ALM+x32c8K0m7Gi4NXNa+wfPvmSRbM97m2kPpisp/2VMHbnZ/jw2ftYy4q1nuwGxQ2HWjumG2ZMOeEBFKiAOqCqLocR/CZVA1ljvC3VHyNqMZZufh9HIBu6+WkYlBbGNe+UPdYm9ESHnd+WsEHkFtYN5o+6ObQfDpNqgPS+1JEiOK/q7Q81I9wM1ttkPW2udVwosoRxDpt0I3+of8fc/tAZEgESZgA9e2XCeNp2XfZsIyf/rlqq2mrfDHgOQ24TvNMAkjIyEa6WAtoRro4F1+Vkhb8EY7BPCSWAexLcCgBKSHE/ujawOcp8ipZO7HVDbwZbIdXki8FuSEi3GB4MIGYhMJJBE57qb2x9MmNUi+GqTGY0iRVrXZEnqwFkZbCPMTOjqJUEjY0xDHj2Oamwe9Feu3o61oZDJcptHAE0ZjhVT5i4ZDGgqGvFIR/aHI/NUZ13aBu9thIb+Fz2HdzHzg1f2hpIUZPVsbG1hEGHGczK13VpiaW49tgkdMSlrBohJHdgheGrIO/3OJyfY97NODvb48nTx1+2ajbHvY3Ut3HCosBLYnz87W/ju9/+Vfz4018ATK18oEoFe63UyozXaUYBQ5JXmevQ82sY6G4E7IUSxe+2WTzyMKan7M1it20DvmgVsBxDAlAx7TKWVd19U9cS91g7XqGSeQs0mKThtsJmNuMh2xqtMKB3Q8l+mrdDzPHZDdDu1eVRxGlufc++tM692BINx7R5kDbbbq6CWqwzif17ew/x99hdo/sJVE3ilq3NdoQrQIDLlupOKSPlbDpjCThVRVJrQfXy5oizhw/w8vYSD/YTQBmrABf7yVQXKBsqqXXzHK1g2ssz4rqNCZ8EWio4Tf79yKRtvZP2TNmeyVL8YWC34WOrR1QLi6u4JhS25TPQkNvtHZXjfm2D8aLfMFQwoDxko4tYAbDcnSpDKBYVFOwlXPv9voPUMaMaXvTuzWp7anLYYHvRu0RVbufqpWVtXgesMhyjgYpzGHUDEGVIAk7rAlDCuioOZxdYSsFxXVHeAc6/67i3kToIkEWBXcaTR2dYpeLV5bUJ/muwcBWgCggb+zxZITITQ8oCrQOrWfsLvDuYLZSCoo+3doeC0NjbbrpAAYKDABdQI6p4cnHA/mzGLz593cK/Hn+PpkPHK7Tfbl6q7+JtInkYOt775lk83KCwcED3CocX27JY5EWfsHBNBuoAJD5n2TU719vZzZgkdt2YgDQ+aMugxTGyvOPZcs6tXrJLswxGzYuNc5pw0hUKYCKC1AJNDCS2erl5wmev31gmhxgvLq9xfVzxkBm3KritQAGgWju9gdCei2HETHG5ZSOdqnO9YjJgs1DHRdqNm+NFyXWr3CMotbTPNbxFA6SOjFXQCnyc3DsyDyy1MQ9xvThPJx9b4W/zdAVOvuxjPt6vjfmQjaue7bzjeY/vbJPh9unWhsFhDAze091sX5tHHEXF9nyj7tTd8R1B9bsbXmTOE2WAMp6/ucbx+ALXpxOuvrjB93/0BW6ur3Cf495G6rVOUAh2Fw9wWlfcPn+ON6/eIKUJqpZkEhGoA7aklsqvsD/ME1gqKllH1La2W1gX46lt4ZtDFW2TzBzBlRmZElKasNS1h3xDZMRM+PDxBT588hDX64JkKkxu0Ly2ixQaBvZuiAB4GOjlPage449ZmU64bPetER7G4qEWnhHIa5upu/Y0ZBoptyxmkVBvkBa6KQQllByZhkmvTXYWgI+RXXUtq0m8+EJnkGfohswMHKjnZHLOqggKi/Xjoz4WvpuKCMqytu7CiTNEi0nPCHA2zTgtK65OJzz64EMsr19hWRbMuwnyZoEo4QRglQWUJgDROLPzjMKz4cxIykYG9qyRgbEr5t0Mptym0xjGkGc6GfBs09rCn5h8iXMzRPF9UZOJaR6wckvpp7zlMI3lReOmMUymNs/bgvbED5yzZqoZtFkHMbdUFRPPHn7HuiB3DKTN0NG7GmV8bNN3XJKtAD/6KgZcYViS42aQxqg35dD+rCohNoh2L3nKTqvoj9wqBTxEf/nyEv/sX/4rD38Zed5DhXB7e8R9jnsbqR/UIzIxHpMC17egLHj16jVA2Rejtx6Cx9FihoRc+gPEINQhWd+sUjsihG56PWEEdEwneyPRxPjovQvcXN/ixdW15cXcRT2bCd949gTvPdxjmhinK3tdoQwwXjNCy1AN9btF7FfhczUjOVjCu58w40ltEsVZ2uV8t48Qwa7fzRwrrOhSumGKHZsIjm/YicRT3jEhgnQYGS3yCdfIoBpGXN0TtbsKOQ4LN+FM5FBbzBibDIRnGV1UODGoitfywdqN5wm13iDDipEfHQ6YDnvozYSZGddlRXHAfU6z967zEdQ+PhHedoC5e0RagUowUqTU1kJpe7hONzEqKibXwjKgt/ZEA7wfYbJWZuEFEHooBQDVpV/SlNzT0o2hir6JY/jNzAaca/fSbewc0xFBqXbt8NDbnNB49bTRdoqx6ICH3+87wriYK6r+PY2NP2KOrQfXtLCG0JGpt+Zi59fFPMs5sr1o99ayhrG83eDNu71TGtykZsay/ClLtVyS2d1Xn3+Bn37xAmfnF7g9nQAqzo3wnmW1D1IVb/xEZIBmIrCzvAWlewII+Q+0l9RedjNddw9F5oJvfvAA54eMl5c3qCp4dL7Dh88e48HESAxn1fokcUVQuEfGFC3GA2PohoVg3o143zfW1AxG3zbuYDoEhFrVBhAddrmRTXz3sLIBOHVqxO+2Xl7cRyyG0WuLsQ/Kjk20oVAX2xKQ0SjYorXYiaeE5FLIgUeBtXW5CSWL+Dc7/WMR48rNE2PeZRSe8aOffYpf+/h9XH76GYQnZM44n9QpB+x1h4CSuGyIe1JsYx4oZErJpYdtAQazOnTZI1sXzzxm5eJ1KaSVGMVCpASEwH7DdDzkGbXRDYeTt8awvVOFUTZCptpDyqibM4pJV8IYGd5jJ55hQrSfScv1+o/Du7kT8m1WiNo7iY059mezXVaYZlCCz4sA4H38xWVbinhPRVhW1cqOhvXiFxiv38NH36jtMmYg1YxXuieV/P7KnMLgbLpPiyqW22tzOZ3kSY4LWJWFNgMbhauUyDNr5jb2toZve1QAdavt2Q0fbvesCFIJVzcnvPf4DB9PF/jgyUMIKXaZQAgX2iRDIhRSf3MEq12KwbVJHzsSmpEBtJVa2IJNXg8VHle46REcjmEfWlw/vszNn3YdO1oJBYeZlOZBEQY3Psa0XZd8vIO6YSPW0usq2E07w1aw1SMKxcp2f2zvuTqT3YyGvZNaqxfOJtdgL96gsnugx1Ls+6jg6RxrYXz24hLvPXmMs4eP8PrVFTIzLuaMa9dqUjLhuGU9gdw7bL0DFeCUbIGguvCejUFZSys45jQ8A7q2uRlha6pKjrFVqV7Bf0eVk+xzORtLGv6eRSpKBdaSkCX3btODp5s4gZL1QuQEywKqqdL69EJkvZqcScsEdo8cMZOIgqtpHgoSMM4W3Rqmu3Ordyr28Mz/DjJZZoYZimq7g3Vu0R6qAVucLmoV4+KJA1jHBtvym/F9PAxXRFPU14uoe2K//Lh3WQxxQvaJIApwyshzRpq6YLvtjLb7iJqgnRHBrczAJo9b17cdCX9+i2WjWLEbMpfP61sBrm+PWFbj0UwM7GzknVtti6sGUxdevwBf1gQ0OQqPzwN5GWELc5FHr85/1/qxmXELaVX4Hcfk3wDPvo3Q4HH15+6vI4xdkDXfiolhLrdU7SU8Mc4U0seKUUHztJzcK7+bxeskxJQSUjbvJXNX4ARG/IpAamn/FuYxIxGw54zVvazrIrgshB/9/BPsdge8vLxGyQmFelt0MwyeELizrXYaQva1RTbXErd6dBVgOS0bpdaWGcPwLpKNu8Iyn7E4RkJjhOgEcgNlb6O1HmOCsCeHnPDJHnZ1zyYjTzOmae+0Beq9+8YrDbVgRqbVpmDQ74YjLnMvfVBIuOPBb4xThHle1Ghz2XrjKTtb3XHDZly0z7B3ZQbHcYrEDg/uWcOQR4PZxt+2sKgRJZeSf9d1vuy4tyc1TTOmiVH0BK3FrbBN3Hm2jiYQxXJccZLFXrJX0CujAaLxECPQOB7Nw9AgeWr/NyxcEzIzdKqKm9OKQ55AoTjIscGZlK8J65sF5+ZxoA3w3cOyNzaJoiQhTFt8t70ADxW7NxZ+TZgg8s0jWM1eF9gyJtI9Lo0pZextw8iMSAFvCBGpb4U12LSQzpQqA0+LcGX0lmLBR0gx0hWMSc7NuJH0bJ+FvEM1vFpgzERANS9ZyWgAJIrDnKDVmj9UynhTBFenBWne4cXrN/jgvae4HRQYbo9HrDyBc4aSScCYB2SGIvhdqKYyiUJY6mqelUqb7Ou6ImXrH2gk0+ryMb2BgM3hadt63ccqpQR16V9VZ+k7LsVIXqdYoGRFyykb4RKhC48Ib0xNQ2HNSkRC5pfQqeHSNOgtnOwYVoTX5r0Xf+dwb03vGIO+Rt5V+Hs3ywloA+nV1VUVYYD6ZtghBHi47V2MPHSL/nyjTpXeuW5GbvzE8bfRpzJEBEZs9quOe3tS82wtog0r4FbDVMqK5bSgnFbUtaKsKzxOQ3Sdtdh7KyS2eVCfbNEyPFjVYcSibikwGusWbPXrt4sVyGpTlIMX4IYY2LY7HqmFdI1Z/pan2vepltPS7veMuj9t+MiKcQMcZbhnxb2WqYHsLtGg3fptr4+OHBi2xF4a4ef2gtlaio2Fv/hxx+5Cdv28YbhifONzQS1onniMAZEbA928N4IxvsMTqlrBbNndHTNW2Obw+OljfP7yBfI8I7Fld0/HFZStvRk0GmcyisJDSfO4dcDZRCLMMLrD2eHCmOlzbq2obm9vm1Z9eC/FSapNnnnAOaNLb/CcwmM0by62MG2SYMwdSF7XdcP67+8NIArOkjaDm1JqyQlmglq6rL2TINQGzSEWdnWmv937eBEA47/vzp93hSjhMLUwZPCKYy0O8yTuKyoJmNnXfHZCr7Z7FdFN5x4mtoYc8b8wsr7RhWAj3oGhfdlxb08q7XLzaHIiTGytiETgnBjCcV2GcgXfLxVgJ/YJ9dIEpoScCAX+4sT1iUKvxE5iKe0oQHYDRKomWUGK07KgqCJ5kGcpcN68TFUxj8CxKcMeOi3grbcd+JS7tQwxxjQRGDniMQgV8/OiLlHdQ+fxVNI8q2hfbmQIbpMmJoy2kNTBYgKqL9Y2LylCgX4NInLws2dn1BMDYzfZ6IISEih3MQ1mbvpWVsgsXqbhS1KlKa1WrN2IUjJpZSQsVXF+foab5Yir6xNoyiDYpH/5+g0enJ3j8tWlPZsSSlmwFJMcsSSLq9QnU6Egr/YHrMAYCiRYombRk3kCbARJhmWTA0iX0vW5QzuJEzv0EGPYy2OAHtoYZNH1pEjUtyaFkkkOwX82TJs2lqraagSFqnnBojB6uPtEqqh1RRUbP+u+lPpGSzbSdz0Vm59Ah0Kw4bFtaDyxD2vMS/Xtm61es/G8XC8/Qk2PCtJkmvNmgMzTO9XFWnd5QiYK2b3qEFUFSYGHpeKxVLxQxdU0uTiBbVCto/M9jvuHe2wEulILpjkZuHiySWX6RbaDRkASXi45nwM+6O0FMnd30oetwdUN+nELHGFfOBlgd43NDa8uwBXFmKS9pZN5ad5iisgZxD1jc9dI2SIfU7v+mTB4MLAXPIh9uZEBYbPwEZNjmLzQTiyMI34eO1vf+eLePdRUWMW6s5pL7XpBjLQJowM4jr/H78Jz6HhTX1QRaocvad+hdh8t69N4OB6uEwMuC1IBPH36FK8vr5FygpDRI3KacHt7wofP3seeGGe7HeR0YyluUUgtWFfzfuYpQ9bFWs3zUInvhj7njGU5oVRuBuZ0OnX9KU5NK0qs0wfY+U3WRNubkBJauNXew3AE038cJxHFsizY7/cDTunjNLzPkUTKnFBD5nq41vi+IlO5zRh2j4toCOG0Qw4RBoYRedfRls1wPvUddcTnjDLRSasp8RbDo4SyDtLIsA44ERWRs+MLjKH7YL3Bt29P+Gie8TNZ8bwybvOEJU0A8TvV1d513NtIPTw/4Is3VygieHQ4sz5zItjPO5zt9ri5OQ3er/kFHtl4pqNPBhtocszBd49qU5xiEO+4qINv5VhRchE9bybZ9gBycluPibUOLv9wLv9hf+EYrkmBjXsIgaAvOPAAIHCGt1O/3WiF4YoJQsxAfQcr+SuOVtEvvveIbHch3xBCRcDObfta1ICNxioW3shruRseAgAn6mzrwKSkC6vFc6c8gT0LelsFN2+ucH1l/RehPbQvRfHm+ga7NEHWFYENRwedUgVLXaxV+24GHGBP/PaiJurlWG9tDMSg5M04S0WtK8pSkVNG64jIaKEfgI2BGM+p3m04FqOIIhN16gP5Zhiu/jAfxnGuUq2RxjhHhs+FhIwMYStz3mJODneM3pE9iwKVXAr77RBquKpvONpC1xAVDK+veZlwjDAPelxl7R5EnJO0hYTarl8hRLglRqkr8vUR3553+NUHD/DzUvEzYdxOfE8/6msYqQfnD/Czz15ivz/g4uEFjjcniCoenO0x5wnH25OHO+TD0rMYLbMWRqrC08CyCY3eilEbYNjGwwfH43pOBtrCdnKFtXSI+RJeXXXQHYOXYAC5h4/Y8prgrrS1b0oAZYB7OBmGq7YYvy+icacLdKMZKLKQKDCThmGooYxGwNTNpLJ7rT4BOmbR+FNqC6moLTJO5sabkeW2y2aabTJnbS2M7J68uNefRWD1cvZdK2Xhhj/0NFpOGWUthsyxZYsmYggnHG9Wl5DOVvgrhkkmZrx++QZPOSGDIIvt5oc8oShjxamFXcTVhBKz7/C+8aTsiGxlAAZ+EwYvw58CBCgrNLn3twqWuoJSsrbxg9CdqmLKk8v9ZkAWqFfwV9f7Co9t4smIysl0p1LuxcXkVGXAOEaJLGkk1LvQjJtCzhkERl2D7sGQ4trlMJ3xlBhIuWm2A4i0o/29ifJ1NnmFV2l4qE+I2uBk81ltjNZSIMdbnO32zaBassFnLTOkqLWJVzTqjT8AlNgVW12axRcPUQYRY00ZJ55xJgvyUsCvL/GtibE/u8AfV8LxHYD/u457G6mrmyNub044f3iOnCfcHN94Opi8hbc0fWqFpaljIRlkM6YlAxCPGrM7bnYLM9xwxA4VfygKIa1jK8UOQxbzNxUDv4e7KWnE2TTAng0HfvM5hbvGcNoA9T8MamB+XK/teuJnHEO94fkSJ9SytvKYuGpgBhtHadg2R8+r8bH8DI134qB88KuY2TCPRB3XSXbviQm16lvvoEpnkhvpTzbM46rVb4mswJgs7BP3ZVNSrOuCD58+xevXr7CIwHZYw62OiwmtmXJjFDNPKMzeyXeBOP2BE7txgkMI1uW4ElpWOUJbu7+Bf0YGSUxzRimCZV1a1k/R5YLnaWdhWa2Ol4hrKPYdn5ns+2wSN5nuGB5QF0YE/PkASRlZOx4b3pFJLy+DVxq4b3hXK2oh5CzANBk9pIGTw4QNz6rFE75StG+RvRzKaCv+6lBKwUJLm5dGdLWxkVqh1dp4xdwzjhh5d56QrYlZYteMQHUhRklWtSC3t0ZIzRnXdUUJWZt7HPc2Uj/99PNGcHv56hJX17dNe+e0Fixe8Gm8HcdnAiT0Rd6zVGHMbITHhXcXzB3xEgz9w4JMNkXBaOy11I1T+HHwQFDaTwKvcn4XSXu1d4JBhDQJ+z4V9wX488EWBXH/brxEia4zgWcNz87MoJwhUuBqWdYi1WV7gbcbEYznaAZR6K0xkwh/B4NatYI1wE8GxDsUO2aDCGU1zp08EwVUUrhEUNyMJTnAmKYdppRAVCDk/BtffJmBj957AlmO+PT4BtO8A6Ao9QTe74AVBs6TeWPTPKMej8ZsdxyzSkVZC4izA+g97EsgVAjEKRh3Qyj7t9EYSGwBZso4no7Nk0nJRPUw9e8TwVqNNS0rozWklDClDCVvtsBdBQBAgwMMLhi8Z2ZI6/jc204BXobEkUUtHpq76N1QWwfYpsPpzpyg7XseZy5aCG9rbT9PWGpB1ZDdsWduTSXi8zpwEl2Liz1RpdT18c24wj25eF5AsFp4T4pKjOIduOt+xi/mhJ9NM4p7dPc57m2kbm8XEDunBrCBdBLnWtbmdqMZH7QB7lmsu/5KH8/u6fT/DyyHyUPHFJ5ULwfIOXXTEwYqdhb34AwL4HYxhTfEpCEjhg6SCyL9bzhU583A/+0vB28biJGVx8T985ElQjfU5jKTi6zZ7VrpB1q7oB7G2PhFOD3+PHZ7ImrXooaF+Q4Y/BZYxpS9Sr2JDoUrrwri6E4LS+1vyIhwnKrXOlZV1LJinVYYmGoA6/sfPcNuZjy6uMDzyxtUZYis2E8WzhRVcEqYUsJpKailGi2BctMHL+tiXtzE0MRgFd9cosB22LphC8o64PSfAdG63IzhfrfH6XRqvfakKm6ub7Hf73sNm4s4VqmItmeBVUZImrNp/EchbfzespIeLcDCpqTJuWjaMoymGd4TQ6Kdv2YeYdQJ2jqjRJjIEwNtoySHLaipRHTIgW02KyElwuMH53j1+hJHxDytzXOrRXDSBTV3jS1bQlEyZfAJqVoon2LuR6Rj3xEohC1bW1FxYgCJcdof8LOU8dk8YWFG87zucdy/LIYUlAkX5we8enMFBmG/MwJdKZHmvmOEwoMKA0R3vJTNYMYNb8MaCoCJIpwjRJHixITdjkHUXU13aN2QWggS3ZFpNKAe5tn1w4Pw3zVCaAxj0CxHoJy2Lvdw76N3yL6jREkKexfQIAESs/l4arF/Dy062XVb77ctfB35URQRJmFTrwcYiKxAA3JB1q3H+GLUH17NMFntmtexWUqs79QKtElOGVUFc5rMMDJM1I4Jjx5cACo4PzuARaHZs1ZaUQRGPyH3Gz18aC27HMMRsZZox+MRu3kG5eyLwRYta/LNCG2Mxo2uTSuGUwasWcM87yBScFoWS9wALXQTNy6cGFb5RM14xMaRUhRe22yz6CGuLDEL2jRJnKGuXhl+vyiguaLxodA9ZGvgUDylbyFaKSuIgDTn5sWjtT5XqxscNqf+sggP9zs8POzx+vW13Zf07Fy0Xi/inY8Zvf36kJFXCKSa96di6hRjN/DoaGM8QHu3N7uEV1PGK57wBWcUq6LHgG790uNrMM4ZnAgXDy7w2WevkHPGo4sHeH15hbI6xwnacBpAXQO5hzvjig7P5c6P267SvtEM2R0PjICzXcKO3brQMFNBKBSegTTRflJ+yyto3ob7Y2Ey4YNsv/RJRWLETr/HMAT2/ZDZNbA5bkW8NsomVfFNhzycccyI0jCxguw6tgtHWwCAjXUPTQZ2vnQVgyhVsmfsG0S06Aqja5ibLVID1LlNWNKtIkGEBuH5hbfKaqA4E+NUKnRm7A8Tzi8OOJUVAsWThxf49PIN8pSRK6M4fpWSyUqDqS2W8b0UqdBVkUVROZnkShLzqhXgStBKAx6qjTAY+MyIT5kR94wyAbudfeLm5tbkcaR/PgxGzrllwtbVeuqVUgBi5BzaZZHIaDvbMIf7+8o522ZEVvYkQCOehu58y876TqkCb9Bq73vKvVYxEUOVIYN8dxyCanWRpHj2+Axn+9k3eMuaqtMcGMMcUmklM8rGiWzrMIQiPVTsQoCw38X6IQ9U04TnzHhdBTdqHlbzJdoL+eXHvRnnKWWcnR1wvF2gYjdyfnaOdbGMSMjL+l5vonbutt7902a4do/JHnZ70x7kuINEbYLZZwWPLqx/24ZC4DbLvINxRAbIfPQIeuTV8AhHPnz0yYHGd4Sp7zy6lxUufHsZijvvJV6ru87OUA8DReTLjOK8Ed5R4zvR5t7jT4C99vcIS7sXBfQyC6eCeHFteBGAduB8eI+Nze4eXM4Zu5xBCiylgFKCqODpk8deIqLYH3Z4+vghmMS7zygWEVDKrc5TodZ23MmmDbdjKzSvVbCeVpyOlgGs0aEZQBBvoyC5vSulFqp1QLnPgZTYsZWCeTY+UFA4WrG3Y0jZqQrWyt32dnHKQJQUBRL6Fq3E3w/78xknKXkIbtrl9szONdLhbQ8YZNzLuq4tNCSnebSp1yZan9yHXcajhwekRJimDAqpkjFO3sxv8rkgEG8hby3rpP1u9P5aJjtO5ZSwqowbFVyyomT3NOOeN07FVx/37xZDCYfDOV69eoOUE6aJcHV93bGTgDiq1yPBA69hUY7GIUKOGBQgXsiYgrckWQLAwk6osZdyccg47LjhRxxxDhRA7RkM2I4doDrIvBoedlgb5M48Uo8nCJ2BbLemjV/TXOAGGrq35F6koA6TNfSx7uwcBHvZEaK4EbYyihTDHrMVGLzUjkkRosFqW9ijJ6VoxNYeOnZKhiohqUux+LUjmo1uIfHeRu0k9YkaWdjMCasDsOfzHg/OL5DnHUQNs9qd7bDb7VDXI8DmTawiUE6uuWSLPHGC+CIWMXUEM0pGMNG6IFW2RhGY7GfUOVuqiiRDHzrAqhC0Z5rjvYVAaWhmnZbSqhESZdRSbdxQUUFI04xWqxl4IExbR73eMjYWDTcz3j+HZw/kKXmdoBploIYigC3gsi4+9+DRiN1oYGGlrsiSWzszcoiH4bWOsf7FPJpnjx5Y30kopjkBV5acYbVqAHAj65jsMwiVelkZhVqEpIaxspITi6nBJbbBu5eusHFp3p3a+o1qDseO73Pcv1sMM0oRrGtpeM3V1bWpKSpB1G+M1Eo0RIxf866dZTgi8Bh+4MbNLtKUBYgAJLAydpnw/qMzkApq+P0DXhCx/Xi0tCx80cVm20Bs7tD6u4yQeyDj7/xm+zkRsfv2uTf42vjszcBtfyZihitxl8oYw7rx3nLK7hW58eXeTw1AE/3XsfKejCcVjT9HYmbzdIHNtcJAxVwwhrRLnkBxSAxtZVGMh4+e4bf+6l/Bk6fv4+bmGn/4h/8Bn765wsvPPsHEGSsUqCboVmsBpQxFxVIWN4L21noNWXgS9p6nyXAeICgHfew4pFSGo2F8UWI11AgyZ0hV7CZv8yWl8feIXPIGFXW5bZ7PqMYZn9vMt+aRA0LB2h+yYE6OZervi8DISbCwM9X9ecZ5FM8YiqnxnuI8o0etlHA2M5492IPUQrz95BZMI2ro2cjNXPS5HqVB7Z6h7tlWU8JwYUEVgLxwupJFUkwdL41NDYSNasV9jq8BnBOur46+63hTRlHj24jzZ/xFJE/5yp1wrwG56jdKvQB0c6074RtgRorJeD1PH59hyvFJG5BN1mxzNBPfwzmiO5PYPIvIYgBbN9tvqn96NFx3rtt36ShCHb2xrzDWTf/Hz+9hzru+1zKbKSOCXetAHBPVx6YZHqtDM/wnnrj7qykl6+4bC9kbVdylPbRSj1Kbmuc8TY7hCRIT9rs9/uZ//Lfwd/7u/wzTjl0Yj/Dxr3wXv/rdX8f/9f/0fwRf3QBe9Wa7/4S1FigDeZpae/A0GAEgyKRqxdUKTNnmAxgNyPUb7hsd3gUjxO8jDExQlmacOPSkYMkgI1JacWwpS1NRyDljmiacjifs9juvSQ0Plps3b8iTbDa5pgDgITZ8LJL3rasqkGKh3bvm19aL74YqmmiICBiC9x5dYEo20qSK3cSBRnQj+o7NcoPlDdeOVlvMHqqTmG480OCV5j2FV9lmKWzht3l+dyt593F/IwU4wU1aCKzcwza7J59UqiDKoNQruYEtY5mjrQ7ebmiwue5A9SdvBR4ZCZsPEQJmnwymetB2kwg8lcFIFjoC1h1Z+8SJMCqeNnCit+1Kf73xHSXpGdXAwXznUCJriOq/apnOCNWUHIhE89b679HaHlnnEveslE23nMh7zLHzWNCkVQArn2A3dilkZ4jbfZtYHKHU1b4XjHcBEgiGP3tIQdwdXvUEgloLKlJAMAOi+Pa3v4X/4r/8L3F2cQ5wxZvXL/HmzTWePv0Q3/3ur+O3/9bfxg//6T/Hy+MR7JlAkFER4rnV5YBN2sa6Za91aeNfS3VGuxlmUkZKs4uXpSYTHVm2SPP727KzEDmz265Zy+oF4BbKCDmrXE1h1jwG8tR7b4dlWvsmrsiRpW4YUS/PIjXOoDncvVrAMqwRPTBEgUzZCpkDPnBDNuJSrXNQKwZOYGT74xSI84nw9HyPpMGcq5iyYWElcHYCiBKajJFa8mJU+whHonrShQCIWDheGS1iErbvZQzv0mk3gfEqnL4CKy6/z3Fv4DyAXUodbIuo3KZOX9jxh++6kP1k28+lbeFrF4njdh4mI7IRA8tyaqBxu5Fmjra7jd8cos9f44Dc+bM1kuphUEWUFoyH2+Hhimjh3d1rk3uc4i8sXlwzZMOVN+cQz6TVnqI2LpoZ3lpNqoUTDw0MAvuC73bBiB7fQ3fzW7jSDKOHc+SoHRmoHqccw2kDVG1SzmwGrEDxZ3/zz+HiwRkUirIuuD3e4rTcYl2PyInxm3/xL2KaJ3AGpBYvTwlvw3k4fsVuuLY1kuEplFJwOi2+cBfvH7cirOlokLbvb/vzwNl6SU6vDwymfciWwMfNwG5roNp5SzrMPy9LgeFarf5yjKjIzEByrzE8fmZG5gTOJkKYct6E8GOdX9BE1I0AUYI60/0bzx7gkAcvDIopJ0zT2JU7vB00qOKtQ2Oj1/ZsMVY9HN2ugzizu8s2b1QhZQWzIrHivccP3r7WO477A+fMgKscBL5Dzgoe26zroMUc7t7okka7pe1BLb6+e1j33XY6M1SNgBg7UHhiEYK1b8PDbZjWgkmnhqFi9A62HWcybCBCpm5w4tzVP2s7YbyadkXHdIQioPElo+ryGwOg6yzeKj29/Nbzq0bj5V6WEtyo4OWo9oYLPs7QzvsJzMEeLzhlHmK4NG/XoNJWg2kSu/G8MY72tGlK4MXq+2oR0GxlLU+ePgIloK4rfv7zn+Pjb32MnGb84Ac/xF/8C38B+4dPTH66RmchL7nwejNQ4GhWxzZNE9ZiafQWxjj4H95MrVZintm6xli3l/5m+vwhj/63IfqILZlWlz9zfAddKPDud6NZBOBhTmRc2g4Yd2FetflHvi58nvgsNo9Kw9tWOL5hXLA799EMasPj4B41QFjx8ZNHePZwB8CoJJFpZwKmzMCpz/vNFL7jyWNQDAm3pI1TNMrw34U0eEAnfUzUSMt1BajiN//cb+DZs6coy/08qXsbqcBY2EZmsxttgFoP+VyqH+DUPjsCsFIdsyE4H6SX02zxBLjnoRC1RgXTNLtxVF+oNIzyOMgGGDNvhhcgk3qJuwRkMEbofvDwrS7H2vw1yxpR3+njV/5aPMS0QHmkN/TJ614WLAzILTvoRakDDwtuFM2AdqM6eqTjEeFMm/BN1TPggh52aoTrak9oWXDTwUopN0NF5EXbVFHk5J1XCBMIO1E8fnjA8fVLrOsJU97hG9/8Fj7/7DNknvEX/vz/GEQJ5eoILYpjFRR2Mf5qPKNaunAg+TxQqBNeM1bXT2cNtU0rxlUyT5VUgFox59nflefCh7FhD6RsA6u+kXbOngHv7Fr91jGnitUZwik2KmZwmNMAJneqSWhB9YhjmP/x3uO/NPgg0bTUJ74VaMe+Zu3ozbs3QyZVg3yPKE0nqvjG0wt8/PABajmZ6oOGyTQ8eb/LeH29Ng8qYAZyT1HbJEGLZGwzHTxaBWopVpxOBjeQeIYbQJPmRphoq9tbjkdcX17j4w8/cu/5lx/3DvfiauEZhR7RW3+4i6oFJ6SFdWM458XJluUgNzrhKmMYWDMylG25H3YTzvcZGA1D3N47QHhVS2O388WiBhD8mrswejdO7SYAxF8jPuwGqxlUd2+7McLGve+hgLYfKLSFYxFGjpM7GlHQeFt+jJmh/vM7oU3/tv+6u+XAYIvj+VoI3F38CM9Few0Xp4zdbueCZ4okK3g94of/7vfw8rPP2nOdn53hydPHmGfrNvK9/8/vYBLrvSi12MIEnOVug9dylQ4FxDtL2dqnVekZVJNAMZ0zEROXi9bxY2v2/mccHxreqY+pwwyhqEkgQIwnqB6KinvLBmpLvCn0l9Re9oB3DvMn5vudjdUfv90ZqW2m2ddaThk5Te2+xCV/INbFBlLx9OKADx+eQ8sR0C6xbHPJnvQwz7bdarvzYV5j+2eYSENMY3iedu/WXPf+heC+9eeOqcd48+YK1zfX2M0z7nN8PUwq/jgXIzhZYaCYqdU8GWeke1pMCYkyEmVknpDThCnPyDy1hWYeljoVxc1HMixqYuDpg3N8/PiB0UNaSt0Nht594d1nySHh+w6vo5Pottmsd2bihu8pGQNdYYvByl3ZAdQEVmNSiwOFvXPLAH5KbWD6qLAAhI3w75O0P2C067TreZdohjX5TC6VIRAIKgQVNbwgxeBhaAu/u8qiC/Wrq1t4N6CYcKtn1qwy3ibrxIwpW0Hy+uYN/m//5/8LXrx4AUDw8NEDpExY12v89Hv/Hj/4N/899rpiSglzmo2CoDCKifOCiKxBRGiTk3vDyfljxLopsaq1guKexMLnIqs7CNspnvwZGZMz/bkZ5AiZUzJOHiW4J85GcQGaNtkq1dVa4XIu7om2fc0A9k2DDg36QDEvDvoOQzXOz3h+743ofzgROFNrxRXbjkjFnBRVFqxaUaOsyeduYGCHacbE1iar6laAUf0hFFapEXPVvPZhXQ3hp8Leh4647/Bc8bdEwDzNuLy6QVlO9+4W87UoCAC2izfupd3TXY9k+92wxOZpeBjIFhaJmiSE7VIGCIoTC5MCHzx5iEeHGVIXN9iBTdH2OjT+xO41JX4bxCeYFxfpdu3h05ceYRPb9e2/qmih6vjhECcjd0+0OQtd3bKlqRW+Zfik8yhlBHHNiHimDnD1gADAh3dyZ+IDaBIi1oU2cDlq0q8En3BkOFUnOvbC2ZbNIgVOS0gZIZPx4k61YlkX/MHv/3/x4n//9/C//l/9Vzi7eIClrPjRH38PP/ydf4OHt5fWxENtM1prbYoRIKMUqKB52mZI7R4SJYC8rrBEr0Z/MLFFWqgAUaoisqExjPPQRjkKXXu2LZFl+JpX7HQapWS0hLgczFsYVVZHj6GVsd6dTm/9nPrropg54fva9ZjJQlw4hqVGquyNX2N+qdVZutGnca26m84ADtOEnBOOa/HpIk3eqM9AD21bbR7Bd0i/V/ewuas7MFsdZcfvuhdfRXx+E9ZlxXI8tU3olx33B87j3lo8AETXiRh1C11tFcdLVr3zBtyPDPe4aR6pLboqgNZiRapiiVVmwfk+QeTUig964Cxtl4jpNy5UUrVF7WlfUgO0g9kQZ4mebHFsMnQ+s9qrC2Om9JZRC9pDhCzNjSaffHTHGFaAUoCmoa6AfnPa+S8t7GmUA90Q+hSxCw5DHWdzd93G20tl2gLxvnScGyObgE2dY2RwCJ4i54Q5ZSRKSCrYTxmaCWmekFPCT378I/yDv//3cXl9jVcvXuNiSvi1hxdgIixKuDkdgXxApslwFkpQFPNUiEGJQd6fLmraEk9u0A1ILlLBHJnPYNMb4L7qgrTbI/SzAkeJxRiYF9Qq/WO8FQwRF/4DAO8JGyUhlhjxzc1eTx9H25FayKyt7vLOImpSwwrSwA3t3xGaic/reIliN+rvcvS6CSqEalGf9caMNlztvcU8L4AymBTznIGTJWwq1x5p+DP2hJeNkVSrNYy6VnE8MK6hvtkWqbaWA18NOIKs8kChWJeC4+2C6zfXuM/xtT2pdkV/7G6E9M5vxp9i8zmFNSUccaoA6FJVVCJvm1WQwHj26KI57aMj2c0fAZow9jNr96yKBGBiRnVffLTfmzCW6K1d911Eynd5XJsMYdtthmuANoZvTDbEM1iRsv27tVTiXuTbvpPYC2oxTEYAtL3Xu88zLIU+CcM43imdGbsAtwUe3h+Th5NGIs3VNqsFhDdrRZoyUFdUqbi+ugSIkNKEy2XFLBksCqYMqbXRDJgIRRVI5tXelVfOOXt5i2CtTkwl2yiDm6dqtI2khCnvu2eIXia0HaLAJqMwObKLBKIJVYwioRRJIIBc6y9CuNhIpOrQkZf6PB2mybu9dAEhoydkMEzyHqqpu9YKw6pizqHJs1QPIUeGerxtNIMa2ceL/YRXl6d2F2Nyq819v5e2zkQgbPw4EsciEyO7Zw8dKkQ8kRCUktj4mBgrgMvrW3z8VVHLcNzfk9KY5KNnRG+7rRFyubMTljYWSQCJd3EfZlNphIdgU1Y8OuxwNs+YM0G1bi61efuhMtDE7gcPh4BMQE6MXhvv9+mP8y4jtXl0303sa/TO38Wu00B/HgwEaPPdd3lf4RoTBT7E7edj4oEcl1CV7Xnicd6FpcXP1fumeVPQ9j0CrJdf2lYK2Be7p+oLvRZrcDDtzLOZEmOB4NOl4iVbtTtVwZwSSllRacJlWXFzqiiY8NG8M2VHTmboqCt+NkFTD4nDoCZOJhOSkmkzCVorpfEZRQSUEo7rih0RJhvQt8YbQAvHNf4RdX3ukVLyeysCrea1VpdrZnLqg1ZQsXo8tNYCPWD7qsMMJKDByhl29neFqABabWEHw6N0xljt3Y+O9TCs25awqTjfTcjEQX0evhfr1f8+LjO1Mee4b39SUatBDE5gNAGJc4G6J2sJkBkvX1/h5vb2l44R8DWMVKbJLXVxVzR26hDbChPAbTC6Kz4AeO4qBzelgXKAVcE7B+aQJzx9uLdJruqdZdjDmeprywyiuZfxgoL2HxPRXgTHjuDSsUnZOplQHdxt9HsEWhFyB2l7pqbRH9SfOYLBcMERqoXbUzdDONSexvlavZh7KmZQzMeipmPkZFoNQl54bh3AD2IF0eC5ITVVR1Ni1AakdxDUwHDLtvuYeCaNnN1sWRsDbTkpKk5IOWHhhFfriiNWkJiHc3Gxtx2XJm83TlhYcJJiSQeCsdwbU8AqAuz9GSZlFB8L2e12qumKi0I1W1LCe/PFfLLnZdAchszcTvK50UNXt9Dxr0H/LDCdMJDI23kcjTbZMSxLguzMiEPbIv6yIxEjKbyHQkU0qw+/h50is5k7MF4ZESEqbaz3oUUm4uRa85Z8NagL0fmaSGq2a04Z00Soq42JvW8JlxzmkVFbCzSMmGrvvUhkNI6E7HdILRy1TaaHktE+azdPuL65xVq3z/dlx9fApGxR9nQqoZdbjyM5hlv2+5EsN4ZF8fcKNaF+raDJFAvWIo2X0YE5X/UtntTuqsMrrpmcph/enPbFXfw57K1g/N/YhaSBzINXMoKJ2+eNIXCzOXhw2tdH+3AL+0J1we/furrYpJumCYSM7H36Rsa4o259p9M+PqFIWZZibca0YpomL1iG77xmBDl4P/4uepFxf8d2exaGh6fDIBQ1zSMVMaMiglWAVawRxi5lrFIAShbWZ1s4rHb3nBO0UJPdUsCTGO6DxC+IPA0fDPIKJiBPsxFIoShlgSq3Z4v5EqUjtuD1HW/OF+VoqJp33z8bHuzW89fNPDYNqHfDAG9fs3+/YvDkfF4YaB/zZvDs25zsHkyRAil1qH/Vppkfhri9SoUbQUBJkRk4TIzjssL7ZAOw4DMuuIl+AJhYnc9i9V6F7FLTw/g0SSCgLTcbX1NtJcoQXfHFi1dfMVb9uD+ZE75bDWzskTy+fTnawgsMv38XjiMiyLVCRLFIQa4E4snqgoQa+9k+G6s+hY1qgxE7M7VX4ZdXAGDkaUKqpaX6w64QQp6k31sNIprGs/gzDN/pLnF/qTGTGo7TR6P9raXE4145FoIZ9Sg8VRILmzz8iy5ldoWhBpLtuibsb1MsJUN7m4wu0FjtISE8voN3kkLDyMLA0OTaT+TZxJwzppRdMAXY5wm5GEGTKHmlAPf6OJgjrAjyrnm9YZzgxjMcwzCYmbNxoFCRkn3WmpYm1Lr6gjAsb6wNjZZNUBgT/U4YbHMq7qyH4UTUuFsgamNlG10XAAxxuqbm2TSaCG/bqW4IBzMFBVCb16/NO2u3NXi5MdcNk1st5C61vyRYVKsaZ3BzMtQRAlazClUoA/tDht6cAOGOb/p6IQKoV8C1e6CGP8WmZ/cUpUXhQbWxhLbET4yFCJDyDp89f3l3oN553NtIafh5RGjinx7uMIz1aztBL4vZTAyNCdqNHDMhs8VrRVacZMGqKya17shVBJnUSwfMdSUCUrwAit1BzUCpdp0ain3Sw50cAWIAxmHIRs/Pd82otaN4cJ+qHuIJqQOybjS8cDTKHmxovCIeW6Mi/gxWHE3oonSMOc8W1sEmU9SFBSO/H4NhjMXpE1q0NFzA5D649VRrjSgjvB6dhobrDTug9gp9jXS+e9TrumKeJpCaNLE1dGDnEikgFWU9DRIximgitdTV7ZKzx2ksvYnwS1tYk7NhV+YZhRVTpIktjPS0e+vAIium3WRkS1JkzeCaQMkbahAcJI95pE5BScZL41jgaGnynLOrY1phcyVFSmgeZVlX1FqQ0s7OdSeJ0/TL3AK5ijSig0vzfAYPLdaQqhq73Os5i3ird+nIF1FGcuVYpoIK97YJ4EH8UXytAIr9fkaim66ISj2jaHrmg5ED2hxUjSjJMooi2oz1+P5ELDSP5h/26J3GcHn9p4xJNRG5mMOeKWv7gw4TC9gMcpfQ9U4mZA/J6qz1bK18UA0XITdQVSsyU9Ar2g7bqlYonHZqJLo2nvEZ38WmlACsblzbjW+8irFlEyhKgdBiq9YBhtpc65MK2u4PCt+NfbCidpS2JUR2/0NBNTvxjwiJPJkQ2xnbQykw6PFoA49HIDVCu20jB7Ted9Sen3yf2XoZ4xHGjYmbzhW8hXtKk3G1KPTEXOueopqAfaJ61lIVLADN3L2E4frbbCTas5g+vL+X5MbKN0UlYJpnQKg1VgARymp986R4xm/K1vOwPXu30KOna6+L3cj0TcuMoGFhKbPNz8hAusGotUBlAnkDBUKfF5sxpfCIh8uGMRogjmBziwik9N8JHCiP7sselqUU5TF2pDBMWr3+s2/OBMIuWz+/VaTNLfulDOPU53j83T6j3TMfftf4f+jGN5jxxIxaixNEC25urr503o3H15BqIYSM7rsmdU+z93+PD6hQr/WCTVDXChcR6GT1UlOeAa2QGkJjrqTgD+3+bBuA8JPYDaDdmXjVWSxAO6YIJWhMxQ/utB8jNhUUhpjPVrjqPxpQ8Q125Z+nUBHwiXHXQPXsXVeAgO9y7MB5M7ID4zvkiMN4FCndO9R+D5twU9WZ6f0zBGocNQPy7Y/K9rsNVHeaAtTKjA67cySaAVmQwDhpgcC6shDBOtieVjOMWQG1hhP7lIHaC5tDLqe9mxGHAVCj6SlFB2FpOuHGpfI3qb1hhTqoCxCSJtQiWNOChP1bczY8FfX6ykQZUGu2Os4HcVXHxBlEijwxqM5gZiynk4eXBdMkbdNt+JZa5QCAtsER4J2b397Q408klRBzLgxZSBupNikUcbcsQSAa89+xT/c821u14AUzZ8x5wrIefT00l2M7n+8ckXVOmbpE0IBrmkdvHncpBfDWaKbHFeoiinWtb537XcfXMFLaiGvJ2dneVc4zvBESbR/MYlhfZFFmZgCCg42CqtayOjSfOQVJ0eOiAH7DGLmn0BYlYteK+xj9I/vN5GGUeUajgeq7uMiWvxQ7eURr9nzUPKbWxy88Ag3vMs5L7gQZYY+j0t/HxRZeat1KiAdjphEO9iJQM4DkhgQI+d5ae4ayen+4wAhEBFOerFtJs7caXr2Hb+41igaFcXvYYHUDLIzT8cYKvck2gJsaIYtJEVtPRu2YkQ8kUzLF0bUA/k62Wbfuval7I8ymGRUtwGutRkkIpjQBYCBP2Tc3n1tiCZmqYsoMuTRMjjyEjnfVSMABF4xzn6IjkXkttpGkpqkejTTWdUEtO4h3kmn+2bDq3/KqBsC5GSH3RrpETCRabOGbpw5/kxoWzPA/E/cCtbA9vMXY0v0fal7Xbsq4um1hB4C7z99XkwaAQoqp1eX2U3YvMBI1fdNWmKcpta+3ETP9quP+mJRLncQOEHwWId+1vNZrNFBtwUtIVPhDiOEBTRa2CFYFMAEEK0zOjXIQO/nowfUBZR+0GMBxSOMzFvpENsleSAfLvUBUjImrUNuh/brVdZr7czVLC8TEboNELdQKF9zekBtXAYhTy9ZR1KL5ogkjFV7p2F8wJqXtnnZPVWojKQZ3pmtI2X1a1pBcw9xu29Z0BzabjhS2SpjhwfT6NzfLSt7ppNruTQlaycff08z7ZEA3AFBqygDC5kUFkx5ND78f4WEzs2nbxzbnXl5y9QEGgSqMFc4KWVejbIhvWURY6woSwlSDKlBsIwy+h7bttb3Tu4kP+DtpDTX9Hve7GacjoAmtgcNpOYJTB9mBOP+4bWITXsWlRh7dXQ8mDFTDH9v5LHMa3WcqhYEily0ezhNzUuNNVuwnx0D1zlzG9qWEU0isrVwpIAxzNICYAUXW4TnMUNRaAKWmvTWGib/s+BpGqg2VibSrtnZLJro+RPYD+NcWoGMt5m2wFYn6zlGrn6/4rucFyTEpiY2WHxyRlnGJHbANOhzQ60A1MVAMVUdO6uJwE6Iji61c7z+GCBjtOpFKrdC2mEhr32k289iMigzXjp8DBrYnTtYCaShoDq0zZu7+P/pE3egGDbtudRnXUQ8rgONNChjYuOFt/N724t/a0c1tFwd9japIolg1tgT7twn+m7pjEYVqRZ4myGo66LsMZ20DRVzdFQRVzyK1mbUdN3XvQOogETI+E3ewfNTOikxSWRzLYkYpK8qSwLuoTNieD75hjanzFur6JhAFuw2m8K/HOwIBp9MJRNR00McNp3lwMdYU3gn6Z4d7GqkP2/c/nMMdKWFBToNnHL8gbffZmGEUCR7Bfvbmn9Kb+96ZFe3dkJr6aGJu3n+EwhQRhHPG+tFpSlE90cQI7il2/rXKYlT7QElzi++4h0M81Qd8u/gsBPLMlnqWpJrIfhUBXI1yKQJgtp2fByWIjf4RRscKbbr7Z8OZB1nZQqndwlgWxkNK0pZFsySHnTTlSDtTazLawoLx0ciNTWjrwL01l6NpEjWuWNCNVBgPbMxbuMrBMG6ZLf85MRkuE5/XwTONdLB7U7ZQvEZsMApxns2k9yM6qEiVLsY/YCKUotOz2KKnHvqWtbpn6hInkB5+0Dhk4bn4+xhih1iKvbGrjUNLLHBqmeScMoSiPEScUV9BaqU5ooJ1KYAupqbpvJ7wBGJO3cVk1Od4gNNMxj0TrymEGil2mrJz+mzjPh6PTTO+11x6sbz3++veM20MUBjYRkrlrXGz99ETJm2gYKqbGxNDfX76Pg33EWyyVsU0JSuvCzqRDgsHo8cW98wu2zz2MDDvbfxsGNOWXWdGzpPXnZpU0zZj/eXHvY1UbQZAm7eQvO2Ssu8wXindX7zHp+7nRCGnkLGuku9yidndSGselFSwuMxIeEvc3NiY0k4gc08ltRhY4i20xZi8GeKOE05FQageSrIXH5tVb5klF/CKUElYkMilZFCt35oOLzTCTLIOJpx6Kn9sMcVeGBzGLPCWYZTb3xTmhTCx9ZcLz9NLMmIn7yUaCvKCYxFBnqZWt5Y4eVGuyctUNyaht0QI8X8zhObFeqLAF5VCURkAE8rxaCU0VO2ek9UhLLKA0w4pZVycn9l7b6l+C3uZCYs4KXCsIFAg9OzHMFdImkIoMzWDGc1eQx+FlJFtYHFaLeSapgm0sjffFKxlwemYkNNkoU8aF0lf0UTmGVYxHpJRWwBycip8rluGr7RN25jWlgFe13Xz/sekgM15a+QQwDOR9TDsBsumV1AUSII/VaES3jy1e2dR7FKyZiiwjTmBAXZFEXXPFbDiaFJUdKihTzz3/F0JIiFvDHlgxeLRT3iCYczHZwW6M2L6cr5DcnAME+5zfK3avRgWdj5Nd5u5W87BOtpy0JYyb2oNHGqUttsSW8bIcD8G1QrVglrVHxMGypCEEwMmccZ0yGb0XdEwhbDkQBiRacqQ25NDD9SITmH24gjjoapISLawScBCECVUIps0ASQ79yaMkNEJ/Fy0LRCOF5i8Ps/GxYFGiRDavRywdbt1HKoBkwJvZAEvGxFM02ytoXwMSimYafKMnAJeouQlau7tdQMpDYdx35Pt+j3l3L21KoI0pQa03xTjuAkR1rKCqkKr4HhzQgOnSUFSsVZbeabOFKFALECvQJCClLK3/Lb24tGCvU1Hv9MwLVHXWKViSlYuU5IiqQnnreuCqgW3x1ukKePA+7ZxxJwZj81CGzaS3nPQw6rQY3Loo1Motu247PE6LaSSYF1WEBN2uxlTnjZdemyz6ZFClN6IVqd6xJw1738iYM6Mtw8/n9rG5+go7q6OPv0DDhizRf5XhnnQWhsArnc247sy1oz+bxufTm8YPa+vOu5tpFoGiqzY10Sxoso8JnN3j1XFyid8ByUhkFRPU1cIC5SsoWLyzq5wzlACgaWCUJsBANAzT+TMWcAr4VsgZDtk3LQbzgBJp5whegTUtLlFfVe07aVdh2jINrkRAlVospT23TKJqFWyXYabJxXh3iiz0jwEUVhrsJ7NCe5PuPqGE7j2FGtvVwTFuiyWJXNvZ1kWpER+XrO8Memh6l1dbNKATNUxwuXowNsnk4e1UBRXHID27E1ZV6TJCHoZDK6KP/sr38DTfcYXl0f89Cef2P6aEkoteHr2CI8vDkhrwe76BtfH4u+JN+Rf+MKmFF1wzMMNcbQxLDLeloP+ZMKGom5ExGIaIiBloKwLVBOk2Jw9nY6Y5wksHe+Lse9Tp+NgLa3uJUtjtxbQ1LlB7F4voiLhbQC84VdaHaPMKGt1QzMht6QNOUxm86PUFaX28NVNM9xXwZQZibRBFWHDiABVQjSQ1WboFdSiCO2GSsmTHIPSAtC6Lwd9gPzko9pux5uG7zoTWwaLa7aENpvOVx3/A0XvLJ4MULjzO4K5G9wTu6kWeGnpRowIlQqECaIJLGasDDOYMJGBdAxCBlsf+Vau4DmNZqhGL0j8/vwlqVg4o4zEVu9loGsUU74DK2nGyiYLJ3I8xn4x7qYBGrZsIcXETk1oj4YNbnSdbcMyCkbi5DiHeZMFxipO5KoFsu0cY5M4g1AxNooMyMzAUMJpXTDtMhidu4LwJIdsXYrSkain0zqEj+HG22eZJ7AQKGVMRXCeGfsi2C8FvC5ANe6WMkM5YzmtyPsZ58SQUix8kuRlMhY6t47NhGYAwmCpxEYoW8/HYxszIG4URNumZbWcRr4ETeDMWJYFp9MJZ2dnyHcUPmN+N6zI4Y0WHfj1OHlGUxWrAzq1VmsBliyCIIV3KfbJhfBCi9FEOHlIX7DWglQzDoxWBM7cQyrrGmSf7cB5vG/L7J3vdsjJ6Dqu+jT4hsMzOmhOGmKHfUOCEtg3a/H1q46n2X1FaZrDKEOmzqSNc5cFj035rloFWbF4KeKF7r/8uLeRihjbnrMTJzfcDgUiRU9EfeL5YHT5WhsQ8e/X2tviEBGEEgDptIFg9jKApnbgOwMRaDQ2iJbrPjWCPadA9uJLqQLiatIw73LzYwJQv3tu/c7vGuztd80z494j0MyijZfGztbHLM5RajEFAwnPKkqPgGVd2tgABmozh7xrxTzPbXdnMj2IRAlFSldNkDCkjMDSwouK5SiDJnYv19FhwhuD/Hi8xW5+aEaUCYkJly9eoZzvcbq5RVSglWq8pLosoHUGlQWzVlQ1bS9F6cXcPjeC+Npq4qq6eo9TRbRzqMbCdd8GAULDGUspdsopIyZBeGXH4xFznhE9/gIoaG9ftb2/2LVinJrSgJoUTGt7lQVJPMOrasW/viyIjDnPFaDqTRTQs4W6Fix8Qk69jClqBEtZsa7LW56HbfZAJsGjix1YI+MYXhw2RrLDWJ7lg2Kt6viqPb19Jj5rofIo7x33e/dQtehAqYLhGJSnrjn3SGtdT1jKgnnaY5rP3jrPu477UxCGmxvp+fYs1F1y3dLk284El0bx8yW1xVvdfbRFW7EU8R02NDgFlSuSmm63ktguH7UFsCLdYIJDrR5szJiZ56TISsjhZuoK1nnwEnpX2QbgontGzTVDDzvG2Du2b/asmoKGDEwYSnuqKB8ppbQQjjk5wBua2jYmS7FavCknRO+3WgtqLZ6ZoZZJioNgvCgLoRWyClKeTJgtUdsp7bltolvdmaXqU5r8LMmXpRn0dbXuIHYOm+ilVNSJoVy9ySgBZP3iiqwo64KUdkiiyMTIMEb3itLHmGEegRuJGNtaK6Y0O2WhenZvywOL8e8ZyCFEcbKhAI0SkHNuXYGLj/t4xKtuGJV2Y9C9AwXYwAciC4ESGJWqew7msJqqZ8zzAhEL73IBiqxY6woU9bR1RVmBZUkNf6tSsJYFa13fbSAsSsXTiwMOOzOOjMDHPCHimyT8b+NzKikWV4qIsDGyvvAMXGBNI40l1nZ4QqUUMBVX1tAW/oWjkr04fVkWqFYcDntEg9X7HPfHpKKKmcIYhPdCjXHrdw80bGiId+FhkQOO7Nk59no4+M8btkUK7wlgcS2FUequ7uDzDAehl2977MP2ohiMXWLcip2zFltUlMxdhaBpGEWzu8Ar2pYfV7m7mzRhtfHa2gpBVd0wsGm5B3gfC8YUDAw/O51OiFQ6hXfpjQmMt8SYOLX+cF3dMhmGQaaYWNcCShmkipOcMM2zAb3ok83KKqOSX5HzZIYbALS20SYAszchzZxsTFVB2QxwniZwJpSbFeKsfBVCnmYwJRQRnBbBWcoQnAAIjNlp45JaTExojcBIN6HCuCls8SPdhIENZoi6u8EDVtUmXyOuOhBPaOcPVpi2udji/0jiDIWiNi29PAsJvdDU7oN9LormvtBdg+32eGslNaUCVaDVlBuCQrKu3vTiDk/MVp2d/2LK+OjxAyRa/TfZfHBtT2WLKBjzsUb8OdayOjQT+Einn9yNGN713+7dRehmCZcIG2LkUk44O5zhsDuAmVDWFcsQnX3V8bU1zq1+zYyGURC6kbKK+Yo+Lbr+THgk/X/uZot18FAv5m1ho1oxLJN1JAnQ3BztrjYQ4HjDwvqdtglryj1RwyQQLWCx4RSy+kALRa2KPGrleFg4PfzpWb1wmyPOt5DJfGzVocNrjWBDIWv1glQrYQkNqXgGQZSz9DDV8ADTRUreE45UG/O6Ac7itIrEKKVgivZHZN6KNKDYsL94DxuVhkEXKQiYUIC9oHVZVizLgixWW1n93BU9Y5uYcZgy1uMRoVE+MWFOAlYD3JPv9Abubxu0klqWLuXQiWpm50vn5Wi0EhvNwCgjipBAwVBw3TJo7p0NSxo+WUGeHMKdMqUIlxGLm9BmtU1SL6T3jYoAJCTzTAaAMsqbjscjoq9lKQXLsuDs7ByZK1asproQMkU2EwAAExd8/P4D7GdTcIDPsZiTFPOqDVs3cgpbr8u6tFUCUu8A1akxo/f2Ls+nj/ud8jAAKgbZnF+c4+z8zM8hOC0Fp+MJp9P/P4wUDROlj5nH1nHT8fOOU2nsfC2D4q0AHJQz/kXqO48AJISZEzIMc0oeogCMpBb2mfIfeXhnwGp4bkJhpsL3Nq/aSAziO0sHwIO5bYZOWhOCcHGDzBiEwXgh0l6S7Z5V1yaFoq3sx8NZnwym9GAZxBE8jHTtiFXF9ctakPOEUlfjYnmpi6Xs7fOZcw99fMxjp0vOzA5muxW8eqlH3YYR444dj2bhof09zxOIgYkIXCuYgZoYlCYQFqgK5l0GnRQ5JagUPNifYaaKciM4rQWccptANk3iec0g5Jzd64M7M31jGvGo8e8tHFFGKb0VV8uWYfuMW3a+xkx2Y+SGy++n2SbfoJpf3W1jnNhNfw+uiMIZ6xyo6DKT5gmTKhYAWqPwdnWuWwafegfqQM/U5/CHj87x8GAAvHHdOicR4fwj4BbED9o9VwWOawV7IxBLGPRC7jjautC7D7s92px1O7zf7fDg/MIEGB0zXZcVp+WEspZ+P7/k+BrZPaDDQD1eHyv07WcxwXV4OKAVHfpLLiCkmFTO9ib3agCFKGHmPDjf4nbAWeK+20WYCGgXUIO2V2mvxwByFUIpZuhUnZ1LUTYCON5p4Q96HG7GuXTwvAEX22cEgCJGHCQPD8NdD+Phl4TCujiDYAYFYfy4EQanaUaVinUtgALrsphHVKUZ4KZp5vdU1oJpZx1YUk6Qas0zgQzOvQwlQttSQ8vJHyDCF+kLkQgtHCSytupJLVN3mCYLMdXaU+UpQ1RxfVxRqt3cPGVMKeG0VMiyAomgyb3NeHf+P/WNTfzBwjjGwov50opwnaNntAO0hhI16CXABlOS2EVjMxNp2BWGaR0PbqRhwTjFafivtrHv37dpuTGJdi6255PSlQ6ICbt5RiKTmonN0jDH2agei3XO6etO8PAi4b1HZ6attoEeYl4PD4TOBg8ngUhdxsZwVGXxMI1aGdImOhw9pObZxrP3DcTw6QkX5+fY7XaQamz/Us1DPB2PAAHzvMPF+QPc5/gaondvv6VwPq0AF80lVvQBpRbKadDW7SV4PR77zsdkeAxnm2xrKcj5zDErgXJPvUftPITcRnViafPW1JjCCVE8yRZO1WrCO2pZMMObHO1MGdGSq7pBadlnN5f9xfSXFfgGSFtlPIbwJc4V4yHtJbM9gy+g6s0YjQeULKPKdk1m2yXIs3eqQM6zaW5la/kEAlLOrlxJWNZT8wJNbcE0si3ysbAxUXKm+fCuPRPIiZthVVVMjttNaQdZgYkTsBbju1UAu+yYWQbnjKVcuyEVXJ5uMbEgT2q99dTY5A2zVG+dTgBYOt8LwSnzomDtmc/APmwbSm0TrLI276p5ujF92bzSGRnK28y0EYs946vSFnZMgtYJ5S33KWbmxiyBhtAODkcYnaDzsyySJ8DZ5qNUi6pgnmcsy4r15Fcmwtme8I1nFzDM31VGCI66GnwCN/hDwGNLxuFfZrLaRmUbB1j0AtHQAmyGWj1KCKiD2q7RHg6A4dbn5+c4O5wDCiyn1byn1SCCUldwYpydnWE37wbO1lcf/8Obg8ZDqP0jvJJ4L0IKDklNGlKbzfMwmQ1nNSE6gyjUPeyKPEVYyAAnUAOz+8Rrt3DnPscbDPMiUBQyj8veg7awlUgds/Gdu8lO2P1X3/UZvddYHLYYAoT1q2v/3XjEv3PODoh6mCh1mE3oi7ed3xZqeGGmbFBgOIaXWiTzclR7K/JWagHTO2Lf0Sl0w0Ux6l2pM8KJ4aJuEXICpS4QUUyZcdjvgLpiJkLOjJUse3e7rqZsScYvmtMEsGFgExckdsKhXzvoDl1jHZti4Xin5K4ukYWH5gHbYk8pueHu4d0Y6m4yUm4gRBXw0qIgP1IadO7vFdro9p2BmrdHLMNn7f9C/M02IRM5bCJ0RD4n6uBNVeSccXZ2hutyhSqCiSu+9f5jHJKHcX4fAeDHFh7GJeZ487h9VhETrtcVRRpgOhg0jxJgEEmHcIaxDFPt47ebZjx48MCeoZSGra3rirUUQBW73Q67/Q6qiqurK9Q/bZ7Ul740HchugE9Q34kpdn8fJA/1VBXJPYwqYqGH/09UQA4opmRaVRbeJYAz4OloH3EAaEB+v0fX81E11QIvHi1qhTqJxucZsx6xU8BDDkGIp1WHhpOmt8dCzXAovOyhP+rmPoH+kpdl8fBROt4DM8hEal6me5HM1MrfBOKES207YnBi1nW1Keh8qBGHElLkUJdAGKABVFU3Do7TLetihs9Ji+EZC6R1sFEQ5kQ4zAkrE6hUgLhhIetaUCFYS0XSPbgQsmaQ97IL7MPIqEaxiALiWMwpeVccVz0AgkcVDQAc94Pff6LG9wpCaAjIGc2E3VhUgIOY2z+rqm8D3EO49Nb0H0JVw1cpokk0QDo+KzFHzJiYoULDFmN+GGjt3qaYNyXnO9xeX+Nbzx7iYbZ5Y0bCsMWAYiwwcBPCHYppd+FYq0BxXIttJmJP13xHXx/q8zr8MdZu0INAzYlxcX6B/WzGZ1kW85rcUK3FNsaLiwuknFrxdYj13ef42tk9+CPaJuJcCPQHX6Fe8xk/HdAhhuEuMIIea0Z2xcPGA1Ex3yd5iMPWD06VGsu8OXPDi43/BkAfkRwcw4Aq1mL8EVSFcJA+feKESgAC6LZX20JX3/FCKbIf8S3/m3hJdHSRxBDDD9hBU+LU7rGxZ7vgty24E4ZBXKpX0aVmmv1AkArJs3KB65iC5wrQjMgg7fY7e2def6eehTLX1fXVNUGLNiUD24CqK0MwiCr2PJmuNgwkl2qlTCDPGirh4eHM9MFrMUzRF/WIYwhsM5FWyRD3LcgpeUjOVqOJKKqOTGj1Nlzw4lkbq1ocftCus2Utsq1jDUCQooajiTR6hlbz/ICtp97AdPTFiogFnOCp7pKI9m+aARvCRFJQKHUO3rIZXEGPghSxic7TDk8+vMCjWcG6GgWEOnZEamVlsTnGRrmZP63QGyhCZqS8IsM8rk6Uds+hOYskcDwYQAKSMvb7Pc4OZ7DETrWSnVqxrIuz4wXTlLDf7SFVcDpZyBdRwiYc/orja8kHx7ApYve2l1YjdFebeq0mzLN+Ydk7OGy8CYa5vEqji26EuMxkkr+I7ISfuzmsgw+K0UC1aWQhAYJASljXEOWrLQQNLywoDOL0gE1qFd0wboy/GzK4R/JW5nNwse8ejXBICTpiVjHOdltvPZtxrcaJra1JgDGVnWhbe81bKbV5DAIr2rVavy7+FiGsYFT5tDZZ6s/YfQPFihVZVpRCqDtFniasSwUjIUXowQlKFRMBD3YTSBMu37xBHaZdy9qFoYXxyCIFnqMECUY4zf4c5B5JldK88zgfQkrFSajj74JAW6q3Um9jwS10ERUs64KUc38JHsqBsBmHlpTRUDTrm8xoJCKRZKC0QokBFOPrDZnl6p2T4n5Ng8kSDzfLCU8uziFrdaNCtqGDEPw83fChGofcV0ysHHuQUo2ObSoJ8ZRB1O4hInT0GA33vDhcIHsReCnFqx9MuaNUoxZM04zdbsa6rMb5QocVjJH+p6zMSa2lkkLai3PukI2oz2OPjzU4JDEJadgp1CVGpEkG9yr3BGjFnMh2Gw5vIiZnpwOM+EM7Btul7Y4tBFrW4jNH3IOyl2tyyF73JfG8bhDCmxpO37MbodDgZpGpd/DY2tDtWLZ7DlZ6ZDlHrxAtdatxLxTcHt8qqDdYHQ1UMK+jvjJ56E2ASeGk7HVl2sKEGEshMSpD4W4Q3OAyp9ZjTkQxMUBacX0jRkGgHD4zdnkHrWIdgMV2+tPpiP00Q29Xa9LqEzZq0mJcm+YSEbQ6VkkAJS+odgxLg2LA3fOKph/JqxMsKXDXg0UL/VR1E3JJNb39Uj1zyqZMmshVCbhLFQHGEbQi6drfY/ttbOyOvSmgRQwvpGqqttKxKvKi6cDeLKwd2oMlxourI5492IFPR/d8XVpZI9urw+a4XReBk9r4AUWidWffJIyLqqjq4d+wtpgY82GH3dkOqCbwZ12crQB61MCa5xlEjNPtYg1+fczmacbhcGg8vfsc99eTcn3QTrG3v1ujSZOHdfqahSVheZlBYhlAhljdlgIQQfFiS6JOwWdmrAWYJ/L0sqMfoRMbRxToajCGEcMNODeKk4U8rAmrEE5L8Ulq+kpjONq8KIjjP9F0QbtLHs+M2CXDFwZAJmGh6N1mxqPxeNCJgQAQapwWmRJaPRcIUsL9dgOoamGUWEdmqRb+5WS96Vrhs1MpiDt1QD3dzYktuzXPPZahXuCbPeNo5y+e0SJAuBnonK0cBwW4OBwwS0GZMuY0Qy9v0EoifUNaZIfb04qyFjzKOwgvQPNwrLiZCajFlQ+qqbOKM+rJu05DbGwbHSWMvVooJkUQ4nKOiyMULYIXBXRgfl3XVkkh1ZUUokwLlnyAy8aEOicP4ajtKzrMo8EDl/6OAzMMP6VKNQ+Q4Blqf2eRUYjZ7I0KRSsqEZgyrm4qLs4P2OcErHYh8cggasfJF2gzkaqAy3HH/aoTXS2zKu1LQkPG1Oc+qRn087Nz95gLavQdVOnZbdgGM00zoIrTcuyZTL+h3W6Hw+HgY/SnbKQu37xGV2H0xzcRJ/OGwNDEUKogTsiUDeVxL8lQC0shJyIgShMC2Fxr02JSEeym2Xe63HeiplzwDpzHjQaRthcV3VFIgJOSKX2S4zDUe9YrAhPru3OYDm3nhhtFbQPeNqB2T+EqS/f40A1U+7vvuOKhb2SKRqyNNFpcYfO8/VzdJG8mgv83pHUsDJyg3qaoYUYSBseLWcvQ7di9KjD7DqjOhKWWDQRgTGw2LfNjznh1PKLCuGK3p6MD72a8aZpxdn6GvIb8jLbNgal7lEwMYYbUajWEnhG2fSDqyAzc1urZ1tDM8t/XWq0aH93LDuA8/kQ2MTanMfQwLya11lkiS8u+mQpEl1Oxiq3oKdc1/iOZFJ/jkMOB68Or34O/NaU+f+DPqsPkq3UFs2WFP39xie989BRS34BhtAR2fLi34GyzF3EBoymYceLkQDgQfNX/H2t/9mRLkqT5YT81M/dzYrlL3szKrKy9u7qJ3maGjY0AKSSEQgoxfCUfyD+PgmeQQooAIhQKRACSIGYGA4AEUI0ZzPRgeqk117tFxDnuZqZ8UFVzP5FZVTdFylNu3rgRJ85xt0XtU9VPPx3GGdkwThJhKhNXxyMqlfNyb+oMPUTv7P33ighBSG19o1qA1U8airL47ztyOd/dSP3BU+xmp8myOzHBzWrTau8svXHuC7ULrSrnVbmvnbOau9VLRqbCYTIplq3aOxjfjdo7aOX26toKNuJYgC34qHuXKRaV7aOIDW6LI5GSsqyVtYGkIGQG+SHKUnaefAy+bgH0PTJSDTcW3xzbjx9TEx5fsvt+zpsE7levzSiFYbosqrX/RVmMYMTMJJvWeUpR+C1DGgQMlXW1QHds6v3GjT+KBXEjZY5v6DJlmnaWXnmoC2eEv/78FUsqVE+C5JRYlhWViVfnM3/dG+Vh4cdXR0SMS9V9/EPLPlRFwUqBdOeqXSQdchoHZBxqEXiO7Zlk06ras6f36ybGNpQ+TV/fSKlDb9c/Ng7ToAmYblIkX4Z/xWMO0cgW+3yXYvWVY22oT+agvHgIo3dHgrHXBJM6EiQpn7y856MnR3R5IGEo0ICAjnrFC95WhF0QeoKShTkle9bdmtobtiSJqUzM02xAQlfzqIbb6MMkmwsdkjV7+ocqTFPh5ubmQhTvXa93NlJ/+v5MEjjMiZItoFnSNMovSJav6L3R1CxtbcKrc+WLh5Uv7898cb/y8u7EWxLT4ch0PDJPmWky3em1LrRWORa4uZ5RXRiIYTDM0oaWJPz9uMs+UIpdign0Cff3JnZnK8k5NeK8qxCFl82A7LNPAzbBxeK6oF7sYlADLbmxDJZzBNfjlGutjniKfUq4JmEoL1UdY8EG8hCihVUBFYrrTtVmbs/WEsmiKNvaUFKxdNh5XaxKXa2kwpQ7Q0zPKKxNbfwlZRRLM5OFgrK2xl3tfJHEm00USq7+u4m1K3ercr92rhp82JrHZPqFYRzDzBYHHDPhBhO1cQ4N+dpNg6x5rHOMTxYP3jonyN8/CnfD9QrcGbrhk7fEGuO/i5PZJyYWLwifSrFCazytKJYjHrpePssXMapkxeAZxbinQbWA7GVOY51tK9jXsRk/a3Sa+PLNW54cn3MtE6IrqqCiNNfQikQTj94HVZJCSYk5Zx5q7BsYDc3UwjQRgqlr9QXvhcNJRhl9bI3aGrVVL07fxha1DtTX19ePpHXkYu3/puudjdT1ZG+YPHtgNxNi/8ZijjdT1FisopQEhznz/PbId04HHpbEl+eVn7+84/WXD5yvbrg+HMlFyCWztsqL965JyZqEmiSLbSBDDNEdVh0uRklJEB22U6M7Aqod3tydN9dNwkzoCFCa4JfQI0bgJ6T4pMVzPXYvYyLUaQ7jci/J+Co+dikP8ZOqzVyFkIrx99ncP4a/v5cdjm65RhgMLpohhyGolrNtXi/HyTmPWkc7yUIZ0RQB8I3fegv+8paccKRo4v8mr3I4TFYvWM/GdRMLwlYqs5iLuLSK+EYwD9J01O/XRtNgh9exqVWhVmMkt50rFm2kgu9lSNkMYJJkmUAR1HlWTftWo9hxt083Y6gR69y7ewwJl71RsSakddPpan2IXNS1WhutlL3EyB5CH0nIpJgj2zWGEEcVXqLRNiKzRJF2jEkoc20Hcu8dqpJK4ZdfvOIPvv0+LKaA2/3/o6GuexOD3oBrlKsVzxwPM2+WZbiWipWbJ0loymjvrjRqd59zMe18HLX2Phqo1LrX59/Qf5kyh+Nhx4nzNS1bx5nfdr2zkTpORlTTroFXjOCofYDKOBnHqa8gvZN7o7he9dUx8cHtke+/OPLJXeWvPr3j9ZsHpsMV03REuisGjgBNxIkuPC7bWMNA+UsvUNRm6c9NuDs3JBUjQu5KfIJ8CRYcbDTLbOjO6MgeVe2vvQ94+U9TVbDNom4sjQXulfgBHmQzgFGHFohuH8fau31x300tThRqkAjDHVm1UlIZ7w0Made964Iq2pQ0OcFjuBdGto0zsZTMsjhBb/UTsht6Xly/KDmZMamVzJi76KJ13dIqJU+09WSaYbJ77t6HPG0886VLL7uxgqrdCaDu0rUt6BwSwvuY01gf6oeAWuMJM/bmAQgWtA/IaaJ5u/fRPjoma0qsvdHCKHSLtw40t4tHhksZl8VkEoMc4/vGQL6OWNU+/ACbGlDtnVQt1PL5m3s+uJnBO0gnuimfqo5kiGLLZLecKQmurw/w+gErHovSMjd2Xam9etw0WOyJjLmTrVcX9euj/GZ/qEcMbz7MBPUDGMTaUqahrPvbrm+gcW4pb8QIdYqn7IUL3k5cdjIIXRO9imVoVUEaop1bmXj6/hXfe/+Wv/7sLf/9L99wWg2+n+4zPL0GTkaKlITqVmpsM8bIKLBzo2wkdMQHRISHc6W6H7V34Yz+YFHDpCZ90lRYFE8NmQFU3U1APOfmUQIRd9gFp6T7ZDYr6dkjPhHveyob2gr3clcmsXfx9m4fAmszkbGSXCBNfMMF7WAnS2JyKFt8YJ5mqtdUlWwSInjxcHREBjxbpORSaL4gAUcWhXmaSbnQ1hNWEmlxsUOZeO/pc36eP+FcV7oHL7I2JpltLAKEqjrXSbxx56WoXWRKe++mrZ4LGqxpz1jWWu0ZdpeKepYwslOmhWVG013wJGaIxQ9FVdfwYmtR1SNZI1jplCUb1taQbPMgavNg6MX+p9rdDdfNwMlG4hXZSNDjnrt5KuLcuUTouOv2vBihGe1Iyfzq5Wtur97jmELiztDQQOe+M8xw+lpTM0hPb67I6RUqUf+3kaprUD+A4DaijfNiBrBrp+/awNtcmoFPHmoopRga67uDwu9L0nl0m/pt1zcSvbMyBMy7UyUNXswWTNOdubaETQKtPjAWU+odY5T3yvXc+Ts/eMF7T275b/7mU96uK7e3zwn3TgckVOeL6LAFEQuLExLivjaCoCLc3S9EdjCWRVKcOuFGIClNBE2JJBPoFoztXt/0OA6u7OIp8c7Djrrz6T77yBfGqRjxMd0W0QWD2N/3cZBRVW2TqheSjk1mqKKUNE6rqEubponaLZZChyZ1xKdqs+xfcIQukIujPlRotbEuZ1pduTk+pXZYzmfIB4oIz58+4c/+zt/lT/70T7m5vuLt3Ss+ff2Kn/3sF7bpkkI3xfpQ0WxheN04D13zHVq0jKKny51wOQw9fu55V+hwI1pbN8NCHvI/iUxLDU24G2Mo15CH+GHI0Jka84IZ7CTQk7DWamNaVy/attgnnpDoClmNwjGljOSMlOi3aG8mYGU5uu/Io7RAah4HjAM4xklHOzbr2NJL5pdfvuVHHz4ltQUkaAbCnh4RSaKGhWKSdm4PhSfXR17enSmuZd87w1CFoOxYvb0O0ueeK2gfss2bZNv2TStUv3cJZRB/z9ao+juu3ZtTRnLxm2x28lo41jNKdgNtPKSdghL+K0ZmwwXuRS2mZQGNlR8+v2aev8svX9/x/MmEyGpg2PdtSLjEpW4A99kTB0sObmxquwr353UnrO9v42qdMXnRT0zFDaGatXmcoZMx/V9xQPe3t/uZXLxPBGBHnGvnwn3d9ThbGG60ykY2jZ/tiYqD0CnKsp43rWpXUhAYmcFATymZMbKMoJMcvflDxCGic0wW6x6iAtdX1/y7/4f/I3/n7/25KRx0Yx3/4Ac/4j/4D/8DfvKTv6CujRU4t3Vzt6Ouc4yB61vphtjEeVEly8UhEb8zUFdXpKsJGjoZtGMZqRj5mIfevZjXs4HFDVGsJ9UNhffhyuzqHZPpzksgeDGjVigmhy1C8/XfVE18rilTmoDEkL5OFqou4ujVKzOGvvvub1uj4ULG85tBfHO/8vq08t7BXc4LmB/r1MdX4jvClJTvvP+EN29PrBVrsOo8MWIfgNFhunV5+jWrdKy7x+tWuht5V75Q1UGiLeV3jKTmlEllsvhDWA6LtpF3RipJpkn0oLCguqGaTpLC0EHGRks00zWRqDw9ZlK5YVXLzNDTkBExV3P3uRGfiGJKdh6YBpdcWBVOa/jVeqEC3FXJThaJhK0tTjyI7oFb3RZKiNXFjlE/rS5s2bCUu2/tDZo+chnHt7f4xUXWi90CUKvbaw6t473ilaMdlt9QcJ9iw5W9WieMbjXxGcWZwAa61APCAp1RroHqMCTkzL/57/wv+Tv/6r/GYcpoX/n0k8+4Ol7x5MkT/v7f//v88lef8POf/YKOaQ2VloZ7LoSGWIwTXtFg7lXTbhyj1oDkYnk+f76helMKW0AcFdZeCcHDxBZTQjepnGiyWrtx+0JiV5ULHpUGmtrBaXHDHuggJW9CCkPieW2dKWcrjpYN6RknS+nSvEDcY0eBnEQu5mzv+tvfyRtsBEM888vPX3P73feZWMda6PvoAxbSCA+kSyJL5/3nB36vPedvfvmS+6WOcpiIa4kIqbvMUbpU6ggPQbhk8gu7WCLigCQxTYVpmjgej+76/vrDeX+9uwpCElKBqUHPFiD1ZM8uK4HX4amJog1OhbO8RUjJTyMM6hoPyoLx2rt7eXkssCET5X425rHsTuB4f7kgYka2rNZGM4KUNfWEbaEFnnUEFghJ2JoyROB17+Nv7oYvauKGZLgjA9L7K6K5g42lL7xhyXxTaiBPHRMt4jcXNVoaJRQ4y7wgHrsokqjdg/XdgtTrWpkm46OlnEYsb2yu7IWxHjvZu+3Bcld1WdvzyvF4oPs4doQlF/7wz/+cqRS0V9a68vnnn/PBt77Fdck8f/6cP/njP+Fvf/YL0EZtC2tdqdlqwIJqEV1sRAStmARyq649pSCmiTXujYi/BWnTCaLqQfhkB5xgJS42RdtpbgF7l79OxQUA14Gg4vo6JHMht0Ie927qHIr2ZmoRKVHVE/tdrNVXV5jFRR49jubrPBP9GTviJT3Fy4qss5Lfh4SCgq3JLnCunVdvT3z49IA0EEJkO1y/zWJZPMwWfqHz3fef8OT6yGev3vL64Uzr1rp+KolPPntL79CGlPSGmsJAxRsPd8/RpSRhKplpmpjn2QrT4z6GXfjt1zsbqTJNoz1S1o05q2pFqcM0bAe+GZYdYNjzTvanJ3TniGya1ltGSgb8HgNEmAYdC88+wPdzDIIItXt5Q748VR4nFgIUWzxC/LPzZfC6m58Vhmt/n+MdNIDe7ieOutPOMF2Q3WIhxVvsFqOMz4/fF6q2nZSIbXJDBVu/ui3wfEnS7H2hpELKm8hazOPeQMGuTMXvoZTC4XA0qO4bZU3CzbNbAL788iVLPfFHf/on/Jf/5X/JD37wfZ4/e84HH7xAaLaJx4KwlleR6QxpZemdqUzWCXlQBZJzbC5dwxGrUd0kmwnXoiFsYzGyo14QvC88Hsxv2RBAzP2eCLr/2ifPNbGsYYIpCelXUutdvWi9mdchzZUHRBiKHckNlxr5WLu1xzJhPiuN2dpvpc0b6A0piVKu+OLlwrdur0li4zwy1zoiohuK3EGipJ0X14kXN0/9+ROdibdL5fPP31AlOiY/Cn2IXPwBo9lMeWKay0W3mdjXOBgopSC/ayMVGjeSjMjZMQmV3tW68uwYs/Y4Omrg9q7OBls3o2UbpG2kRyw2FNW+A0w4UokYwHDzHJ4iOrhTSRLSDXIHb9mKnt3a97jX2IRucJQL0lls8JyzlYj07RmR7ck0LBHDE92+7/vfAv273+fR64jXRnZm29OWyXKffspjTnqvjia8zfgQdbP6t1RcykQsCzZN0/i8WDS11u2ZdZvvfRPUKGaOQtiUhKzWzfju7g1Xz9/n+bP3WPqJv/6bv+HHP/4xV9fXdBVev34N2iyFLpHqZjMKu3FMItRqqgR2znj20httpmE08X8nZ4CnwbgPfarWbMPtEVIcbl3bRXG37tbTV4zRo3mKDZll05kX2clE735/uD0l03qnUmGN0EJybS5b10bSdbc/yWDNN20XOmZhpGxNJIo3Kz2fO5+/XfjoyYQ1dnWA37rtJZFB7QkHFhzZw0D7oibLY5JLW4hkt+wvroiBllIopTDl2fYiWzfubZ4MWdnz/o6NVMe6ngiJORnHQbFymKQJmsdTehoP1P303MnbGxLpShPP+Hn3EHUlAjM0fqqCZ7LcfYrgtk9UUrnY8OJILgLTmrq1zVG5YIcD7hpa4HyPSvyHw7CWPHlvwOYpXPtJnHrIBv/jLuwGt43YUTeQfRiTEdMZJ9Q+/pSGFpbxrbopAOAclmppahETseut0ZMtrhFHwTZIW51BjTLNk7tAFmMqJQ9meWuNqUzGmUqOItZmnaNFWJeFZV24kRuX6OhMqUNf+a/+i/+C//VH32POE2tTbm5uuH3yFCHx6uVL/ruf/MTcsRb9Bju9YMW6Bh0d+VhZes5lGMfurnGiDIQE0NsWOMZVDBC1bsDJSMExpjltTHJ8NY4hH7GqcFecitJ3QWJlvJfFDGXU9eFpfSPqMlQrYkyta02jr0ZubQlSjyJnBZ3YPDFfv7tY4wbHbc52O8mAg0CQnfOc+fTVW95/+oIpwiEaaD2Qjrusu/W+IRo/xB3haTcE5cNzaZzUE2Y5W/VJmUam08bGn8k9m3iWpp0snaWtTO9ofb6BCoKdVqLWeSRnC06KQHYpCe1Wy6TqdT1NGW2Rwl91l0wVU2cUK46MQZMx6O5+EcTHLZ9mac82hvpigyMklxpuKpzOyy6ehC1KoCXY62Wzg/rm0jFOuI29jWVrJE6+nRsxZnDk274yhtsk75DlWCi7U9eR5NBCd3Sw0RK2wHdrnVLMkG4bbXOno9CWZMqdhsK8QNcRSXMmOmzk1sgE4un4eZ7c5c/U1piwU/YI/Kf/j/+IDz/+AX/37/2PmaaJFy9e0Hvn4f6O/9d//B/x85/+LcGzlpQo84GSZ5Nh0XD7bJzdbrBtWM/yjUPJxs0UO7dsVMxBSmlnYHT0PIwC2HDt7HDZ2NSb+2jdhePwiXZXW8MHO3rF52dkAxW8Q/qF29iqdWMxnbROn4LYqJQpI5g0TNiGQPbhMSQVjK2/0T9VdEd2xtxANb30tcPdeeG96yhdGeZvF5qQbZwDEIwfxS7rTEWsaUYb5ms8X5bCNBXmebKqEzUvKxzSkZiRLawRQ72uXjb1u0ZS2gUp1lJbHO2kLExq8q5WN9QsTelqmxepdQ0qPGYQJPzVhDMbh/XdB7C35kAeBNxt9I6MifXZ8pY8tpiEzGltFiwQCNXGOFls0RqV4kIlUHYnWsRK/OdZsHKI3sc9hSvco7BTNjdyPL7EKbgPNjrkDBcvUsw4PHCjEy3Gt/ibLaK4v7qLHQEeJzTFCqu9MwOWJNHWRp4zXftF/GrL9umwoalktNt8Rm1bMNUVtWYZCHo+8+/9e/8n/vxf/df44z/7Y57c3KK18p/8J/8x/+yf/QsezkY7aF1YO9SqnlG0sdjkVSxrGLX8w0VIFl6otXmTAcs0jjhHPHMEtHfBbsUNjpdu4dI/0eihR6JBN1duuGtqxEkBr67QCwP0FVc4jJbs58q4R3sGeqPSa6WT0QKZZGqXZEPn+0t2uyEF8typZwxbZTHNVCa+vDvx3s0T5FHx+uV+vPx7DwAsG9o5FOFqLtytijg7P8IAx+nKqCrG77Y7kOR/duOn22cnD0vE9TvvYGxF54lcTPd6dBFxrk3Eblo2UqC0TsoGjZOY/579a7IgYoG1wWJ3l0R3nTnEsydId5MUJsP5LUzDUbbFGHGHbvI5PXFeK/sU76Co2MgR2bOA2Psr+F1hIKKbSZzKKjo0ceyM68Md0R2q0RD6iSfoEBkd2bmsur8BHWo/RKZwBMTVNmnKm/Ecn/VoI0Ube7CGCTmX8TuPGxWEobMaPq9V81taq4ma5ZI9PQ2TZCZ3Oda68I/+83/IP/xH/4Db4xX/6p/9Kf/in/333D80NBV6r6xdeVi60U6a0wMGMxk8LTXqHoc+u7P/c5ZhuPdJmHgW20RbqUw8W6g8bGgJVNswTNHmfrxO3HC6PKp6kbb6mth/fhjHJDLKbFLKm/ihTeyQhbaGHqYYWiv0fiKXTNZMNECObFzEz7bD23C6eWN2dFdvxpHVkGpCeHN/ppKZkrrn4OtkZ9hcC2TbF35oywjOQ5HEB8+e8MXdF4aecmGaZyuuzhMj6ROoT9L4nDH+uguue4Z6v1bf5XpnI7W2TulKEaFkYcL8/i4Y7ymwuQpQSSqkZFmUSaqxawMO+2BmMRjbxYydpVofOW++uJIIGdeWGu6gp2AdcquoBQHVTgRVy1ClMEt+MqpYgaVq8IE8nc0AwsNgbJwlSInNKPnzlpTGhiMLvUfQfTttJQwo4v3TvKIfUNJAUJv4GET62KNYY0TM5Wgb+XR3FG4ZvM19A5yAKdC9iDibwd1nL6OeT5JsDTOjSLpbbZwIrOvCPM1IShySp9Gzl3rYp7EuC3U5GeqaErV2CpmD99oTj+XEPda1UvJkjx88Vz/aDQ1iMS2NlPqlMY752dxEQ2bLslxm9iTGq/t9bKVDta+bgCMWhI/4kx2Al0ZxZKk93sVATt4WvW8Ia6wHMfdZklprqdbpeRM5rFrJWSkyEYh8c9DURDzUVAyMgej7wBVh1Y3RuhbO58rN0VqYSfK46Das4w8j7umei9hiWpvy8y/u+Ozla6YsSJpxSGrUDZ/DCA3oiBvHJzD2D+M1Qbsww5beUVDq3ZFUlFr0TPduGlMuNI2+cp2cIKsBRlNByJaqzlaYmP2EIuWxQCQlCwonK45M3aE5G3pK4twQTx+jcjF5Qc3veBBUTFjv7dqpa/B97NUGZX3N0Aa/a89biZhAPPceJqu4W+YNDNa6joJW82TlK4TK5O6st5LYTrTHp0qsItgKkPcZHWz8omyDi1jYdr+xaDY5XcaGyTnTqr+mWRMCuERiIzYmYlymujpHSTgcjrYB3RW7XxtL61CcJKq2MX7+yWfkaaafz5R5ojfjxV0fEm/OKyVlWm0j9R7u614+FxFvQaU7d8xO45AyNiNl91PrSkqXKOrSsARy9NKsHUIOZNyl07olW/Y0hD3xcENRIB4bvUyeBDLusdDCYbMV2L3xBGw8QBGyFkQTfWqB93zFpkuUvS2TnXfB1tpBEvf3C+9fX3vYQ6NlqB3CISToShcpQjbjXZRX9wv/5KdfUDtMKaFDc8uqCUoqJN3CBKGqG+Mb4xRoPaTBt959fCWZ9euub9QtJrStw3NJydi05ocbQDVEkmyyJdKrgkj3FDSbe+WDFq2dRcUKLPETIGIWdNCCpqhL2oY0DI/9rumvd3cv708n1LOH8VlRNCCBcDx+E63JL3Dc17gVo5A1CTRlnmcL/CZ/7r7FeqI4NSgChvY2JOaH1ljS7IyjBvKyPTvq8Oz1lyf6fjPuvx4bR3BmuZ26IXNiMZ9OLqE9tbm2htiUqib7uyyLN3Q0aNXWldqUPN9wyBP3TdFsz6FZ+NlnnwLCfJjozTZ8bp05KVk6aNrQnhgPKFBMdzdQYagZgGlVmVStgseqarVGDL1F7V8l+viFoY7nsaxlc2NdhmBjTiG7bIXaSnSjqT7VHh90vytiTYboLukKI4kSk+tRhB7umCqDDyjGnwqFALpnocX0vjbXLxMmyD7D/jdWgcogVGdXozgtzT8jUNMW71RAB9VKrH4QiymrKk0Srx5MGyqXaXtWsedtvRkLfcQHXZ9d2wAV+DNbYiMMlete6Sal8y7XN2uzrtC7LRxNjmZEXCnRBjS4HuKw2uZVvN5M/IEdGu426MbejrBxGUaKHRMXPGivaTDMh5u5Y+4iibv7M+qsYtsIMmID3V1Ceie5hIpVPcfzXhorMzLBz/HpTckIlMV8lNAbqrW6j24JAthcwIvQlwK4pjqhQuqfOf7h7udg/DIwe1JHLmKndqBTm48dCTHIoWANRVNBtJJlXyLjJ+JYzN7PLQyeu3tx30Iii3I1FeRk81CSsGpDvUFpoJ4sdjzkJBSx/olpSBGbu7HVFQqijbUbby7tg9TiGvQ+iFs3YL2IQ2m6NOKDB9bHgvNyHx8fN2i5ZLR7x+ydjMpAoqgtHDttNkMU96e6uT5sBksw2sGobx1lZcnvvbOuKz1bidLEZP0JS/HAfR/1mmFytu7PIV2s0Dz7l4RzNckh8RNOYgPHHEbNjLB1MPaDdKnC6/uzhTdUNxqQj0d4VWN8fGxScvWNnYzyfnxE8Lq9PLyod7neHUlFUNqJdSl1Ui6jUh2XuEgKWgSpbjzEFim77Nn4SjYoPGqGHC1t5Ax/0EiViscHiFNGxkJAZIDqLoX7c9syZhomcEtBxxWSM7YpnIe1M0aWlvdgs+4mByvtaN0aFpjb15mmyfkyMsQMhwsYnzlOQiUgpux+Fj8awdNLtH/xbwlX1av4jUO0cbEu4zH2bMXbNaUcLH+YvEW7cWR0oGDrqmsCdYNn0yr0hq5WlW8bMNHa4koMvoHUuE9rXTlrZTVKndXDhYi/mFGOGjsrgpVxryMJ0Da5mGD/h4HtajQGYYvPxO8MV5bY6TpO8Y3WEexx17eSHSpiryAaBdmRVGEYp/1YP75ijUbgeiOybvdao7mBG4HeO9M0k3frQ+GC42dGvaN9y1qmBKe10RyDpXQ5JhYk3y2l4dVAT5l/+def8qsv7lDxw873YcSsbI31MU5JrFYx+dio84xE4vO32FygZxnx699+fYOWVtu+jtZP3dnDl3MSJC+LlJt7IUjcXEq2KcVsm2XcxP8EAtvcxOBIIW0oIaijqZzKGByL6PmdqlI73J28il4vbo/B+QhD4fVeKh126fh9nCY7csyeBcLvUjVE1uztLxZr2gyggbZwAWMgd4O6/9YF3Lp8zT5Q3ru1jAo2ukSTC1/OFqvZfjkyWSDU2piLx66yxWgYruLm8tk54+3aEV+0/j7aOJQZ+r1pNVWh6Yq/hHnO9KbUviB0TsuZc7JSpYo6nSW2nj9PMnQrforv7z3mpNZ6cUCp9tH+C74a4H7sDqNcvGafcAhjHlSMkQ2LIH9d2ZqwyvBYHr/f131v/EvC2Gx8toG6RAxVjcxrgiJGU/Dfbd5I1dxHITVzBq1Bgq3NU7W2D7FuLRxhcVvFzvwwHtK3sVm68sWbB6vPVGNmDQTPVinSVU0u2kvlVByRViUXSwZZ38YtOfPYkP/ueVJq6CYxedrcO636nohTzKCooqWTmgm+W6sg8aCzW27XACIJLRmbWjWYRL45YBhAcUMm4r56ijCkbaL9YkiSuDvD6byiusP1hH+cHO2qT8SWmg5UJMl1iJzpHuUPZpQmI+aFdIUdu4MeoKqULCx12SR+2U7cCw7P3i/fGaPg52SPTPT9C+NUY6NOqHPARk++OAi6B+q7ZVSTZEg21uYCW0rV4jgu0euupHUUNkne2uo4+ULbqbfO6XTPR8+f8uTJkXKw+MXp/IBSePnyLdc3t5zOJyTB1bLC27csS0Wno7nXugXJW6tE1DGE7PZ1h9pAmw73VfpGA8CfLfhrMS+iPv4+tpZY2RmxmPm9PAaYDI3vzijmNdc+jzUlKZGaWgnJ7qRW1UFf2OZsQ11IxEX9yA0DiqAGM1E12kc4EalMZrB0OxxV1TtqGwILF99oisrSlCvngIl4lji8g8gcRvbywj3zmk50PIMCQa9BcLJx86TQWM0Wk+6Ax2YNcQrF9zruovaqSH7sHnz99Y2QVJKtenukK8OIuKXqAQ3dcpacSMnkZcURhRhxylzAbNIum8/rC28Yqe1DRkZQhGiLbki4G9xHhlrlm7t71tVKF8YC0oh7bRQAiQFWX/xdQbK7HAHjN7eUbovVZHqr348RH3uLsLxlPI2EuC1CC+zGIvA27Glz9NqjIOxYU7JzD3aXwfs2AFnXHSpwtn8YseQGFjHR/FlmTxak8Qzb24sb04a2zmGeWU5n6y6TxGJOWCC69Mp3vvch9cP36VlIXTkvKw/nhT/4/R+Sc+ZXn3xOLjPlzRtOd3f0ZUHzgVY3Y2otuQ2trWsllzwKkDe5ktjUgGxFwnsEYm60zdfksi49YlHDblzC10CPQ0vej7/mNAU7BPpApTLcv2SIb+eyDYPaQ5QQdOCXjZsW3XdUdu22/HOtqL7TarWssVg2M4isCkP1VXszYmhMnnM4rAuzkqbs5NKxjONOx/83MRChlMzVVHh9f968GAgUMp4RdGjwZ0ljjRqC7xvilWyHZ1fEEWjsq985T2rEfYh0vUNRf4joOmsJIqWkzEo3WgGGDMYiSebmSTZElbPgUT7GETMGfPf5O8iYHGmEMbHpTe5qFl7fn0agUTXcRBkp/SCNauo0Vw3Ujt0TXPjPg2fjViPnQquVKXstXBZqXYe+uIrTIlq33p9BG+idLBv0bU61iKmSvhmihA3tWChhxHd+fJed6zgs2qaTfuHmBFy3B+J8PqOqHA6HR/GCNAx2xKDaqRqqyyFt4gqWCMcipLbwq1/9ikU7V+XAZ6/u+duf/pzvfvsDnj275bxU5lmQdYHemFLivlU/qPDT1YiOkrIb843GsU/va6w/NkQKl9SLyK51LPMXLv+Ig4wNtblkF7ES98dyLgMFdzW1iPidUdaRLO7YHx8wiYvM4rj/vtMv9/vYDFcec25udbayJC4D1V03A9FqM62teGavPrDW54KkgvQVVRlhB7uPbbspMQ8wJeH959d8+uqtxYl1G6vH1xbnVUd3X+Na+6FiBe9Cq5UyFTtAH7Prf8317ioIUdCaZPTdE8HZta4lLXKhfNCTpTVLtoxJD1QjwqiGF09P003BEEgYWSwFxhDjCwZ73U6l7ieAvV+SQsIWW1N4+faelIrV6bnIvr2VbJMTC6jrLvWcRoGtuRzOYBfrsiJJUa+2b7VBFu9YsrkmOWVHNXaCh6toRc9scSTJxgbrW/MKm3zdPJZRiLydaDl4M7ptsvFQI3PkC1GiHMGMmMni2mVwfCt36H3TLDK+lyseYGJ4uJqpZcEEaZ0qnZev36DPnjFNM3cPZ3756Rc0mfn085eUOVuNmjRzD5K5Tqb71lgXK2zOObF4fRsevBZfG6fTGdS00M1wFNsg4jEotkMshqJ5N2nJzhz3GMxWYuSIXu3PaJhBGJctfmLEY0/zN29gEWvJkUK0G4+s7t4AxfhGUD4mqMd9szOge4SvOjLYgnj1QPfUft9BIDek3WgU9rdS14Ywe4bZjaRPfspibr6qIzf7fBF4/uxITh5vc9dRUNuX7n92pxlbzHUbN1NFDfc7bR8YdiRvpU6/xvZ95fpGFAQjXgqSNmhs7W829y510woXgeLB7pws6m8GR0fXV8YgRMZNfEGpuyj+wck6DmefwcHEVYtTWffWRErWT+yuqiEpFfOjPYtiv773a+IcCXKkIZXaKpNM2ynoiz0Kbi1bYiqXna2Oai8SZ0Q3K3YNTScLYgrrugzUFRmaSEOPUysmcNzr1tUmnt1OZHNV9mTQkUmKt8BJgUkI0qSq9c+bpunipLe5Hm9Eq91VMRm/H/c3iXB9dU0+XnN9e8MnL1/ys59+Cqtysza0KT/9+a94/4P3uP7ghjwVzu6+iM/7VGYzKk7biJZOUYK0Lisj9jZqGxmNDfBniZPchsrco2EYSLuvoyCk23rD1pzsjNRj+klChluKl/BsHCwrupcEZJPBMRlggyrWQmyrTbQDzA+z3WfFfe5rSKMNmSU81DN+Hn9yJBuxqUAskTEFOC8LKV3TNYFaF5keSA0fToNtgIMO4Mn1FVfHmfOpEln1geaDN+Tf73jr+XhJV6/6iETYFqKJ54w5vFCa+A3XuzPOU0VzokmnyGYFVU0jRlIxI+YV2sEZSsWNWIIsVpDYnbWA+OJQT+lqBnqsRRuIFINkAeTYvJbu3CC6OOyWJJzWzunU0L6pNG4p2C0Ra8nAgKSbL50lNL8tOCw5/m0TtEYcJIK6ScbGx6Z7O20y1LV74NVOuflwYK0VyYm0c2fCYESlvoXIfDPFvgloiWegdohZwmOO4Ow4YbcNucXZNn7Q3kg9hvbhXhzm2ThlHi8x0h+czyuH1nj15p6f/ewXcL/wpDbeP1yzSOZndyd+Wb+gK3wwTdDNjQpKSu3VYksSAVx2fCYJoDOMtSUILB4Vl+mKe/gAMd5azIO/TwgOikAu00a1uChF2t5zv7HivQZOcw6qlen04V7GnjeBxf3mtPuImNaW1eRi3GN+BrJy41xr9XZiKxe0kkgKDe9CLvbFeanuBURRjGCl2rqLQwEUkxJy5HY1JT54/oRXv/yS5J1rwGRz4nAcDUxQGua69a6kKGwTzIAJBCltCxjF/b8blHo3pxBQqZ6ijyczqzpOn5TcJRJP4zvVwAOLIowqaJsEg4aSEjkVjxHFY3jdkjCCfiPAazNKLJuxECJGlZMJy6/45vOFHZYe/xNGJTboznVStQ1sfddsmOwexMphwmMV4etOiVg04/QOuRSEwzwbOvA3+Qp/BHEonIZLEus83nvDSLvPjCkJ1KFeHeDPtsdWe4OsHrOx53COs2+YMAxR3Z+Ts/fNBrKinHrjVFd++atPkXPj45L542fvcXr1kie18nHJTLXzySef8fLNA0tT1tZRyaRSKFNBiqARQnC3LOJSqrqtFzHtoogTxVjN00yZTHAtRPHAjGFOZXQ6ItzWaN8l2QzmWFObR3Axp8OIZXfrdbjStpbsMJY4Q0dI4/I+Tfb3kfHbraEworF+bA02zueFdV1ptQ3+1F4ZNkqkiPXuhnlZVoxhv8WzkocLhsGNfeRIqgtI6nz7xVMmZOxLYHAZI2sa5TpxaG2m0p89cMV4iy22W3K+qC/9Tde7u3veOyuCy5KyqxhgblVvI9o7DE22hS9Yhi+scOgrR3FtdmNFrySPU434QHCg3WCNKwVqyW6g3E2QxJcv72w/5g2q2qknY3Ft5jAWi39IhSZt43QQJ64dPYlk99e7G1m5IHjujUYEc5s3Ri0y0VrnMB9HfCF4WfF+OOu3aR2oegTu09gtAxM6o4I4F/swSGZQh6idVjcy2+Yb3ViUeJPhSm4Iv1kzBPUxQI3k56TaKRe++PIln92feVIKcyqcHxY+vn3K5Bncz1tnpXD35o65QDvrQLgIrN79No3wm25xRH/+i+r65AcSrh6KuTER6B+bXmMNemwoG8pM4pSObM8ehmo/d6EfJRKoYQtvTJK3g0g2ztzG8Uuo9DEtGwrerd+vufaGsfdOXSvn82qUjaBWSOiMmeSLoRqffQFNVnIkQF0XXx/J3ehIMEFR8VpXyA42rFrWPIznTw4c5sJ6XgcYSbqtH3ydeCtfb/Tpmb7dGtOBNt1bTNZEIhprvMv1DUTvErlhrLHdb+VdOUPXbqoAxH06DHZilx+JHheIDeUTlMTo9OGzODzMpOB+XkzkhqT8s5xx3Zry8s3D+AVVg53mH8tXher0EvoG03jLHNmHb8FSZ6bL7gN2136DROvucBuTKwwEoTNFYbIXcLY1mmOGu3N5fdUtc6g/NoLsns3PteFGba3K4/cjrhJuo7HGh/kDMUG61jsHTyakFOeujedE5qMXz/jscM8XX3zB5whXZebYK2dVXrbO0o0v9/TpDe3zE03t9K1VkexjmDae1v4Zw8jvda+SLwjRHWVghzb3GbNhrHaul9EK+oVRgstsXJbs7O3LMpfu7uFGSNwywPhBaVUOW4IGtun8urjX/v3j8FiXhfNpGUXUe7cx0Mula+5zNw6XxNqVplB2RiMQVBK2cdvHIx0aHqbCi6dH3nx6srivBvkyQg99e/3YCjrCExkbm0FbUuOVGVyze9gTjX/T9Q2MlPV9p1W0F0KYDL66EATGYgoR/RiMUAJIYzIZmyrtRW588eUU0NTF9mOxOVlOhlGz19eqvL0/22LoQQ0NhLC5p/G54Rbr7jNiso2DlMCLQKVsUHYfJ9k3K9jHfaJmbN8YIRaWKVzWkWFTtU7BvXl6W9PgOT1ub7S/ZKySKNaNJ+HCfYjnHU0H3NhYS/bF0/rZ0IDnCLofz6Enb8gnYglmHXODoyS+8633eVgXPvvyjkPJPM+ZN63yaVdamvjeRx/w9Fj4/PMvAG+vNU2WvnftJfG53puOffZxoKRwI8JIJdl64vn4WAv5y2e38XKjk8YPxrzE725JIRtJW2+MuQ5UYN8YZyppVyca5mB/jSSMfN3P7OfrunI+n829ax2TWgHVbPvnIuQxFsGY86CagK2v2iGbIhKRqRXfG7hHFvvD0KnNbUnw4Ysn/O3nX1p/TxVC9gW22Nl+DO3L7nJphdTME1GvOtG41zggv2Ycvu5698B5rajrJfVW0Z69mNA2ymA4Y6dtSYLkzJSToSspJgIhpjXdPdDtzhgiBieHbxfbfQSOZfjz22mlaPKBdbh5XtLoWLw1M5RxQthb77JZkZkYwXob5KRRe9apzXoG9lo55ETGy2BS94Vhxjjngrrr0mXj7UxlNgMPNOpQHLOaQJN9tbGzspZ1XS1FLHupkM2gbwsilpZglAy5AHaye32cmjZWFpXoXanLSpoTrVcDoztX2FztbP/l7IWofhZ7r0TRirbK1XTLdz76Nn91+im/fLjnPB85CZxL4tsfvsft7Uw9rby9f2CtkNIEXSyD1TolFQxdu2tHJ0qdxMfJmN87va7kB1e/RCadbiqXw4XdtyQzQzvMoeBxzy3mqX64xRhHmEF8mX0FIUkc1GEAhOxcwAus5mhEPcNtwWMlRADbsnB+eKB6KMDWeia4SEUBVdOdZ8tqDra8eyrGdu/O9k5kqoVW2JQVSB7UxjyarG5rJIxQ4r3bKw6p0KtgbbYcMIxMudFo4tkIdOZ7g2SHedPubdB0lPeYptkjbtmvud45cL62Tq324EHBH8WHY9q2QGz2cpCSzQdNEUhLUbawTXX3aJ9goaaiMJHIo0LfPmPwYOJ7fqLtT4H7h4VqAQqb2kEi3YzcuOXxl2/LEURX/7pv9Ajf7K03k/hARwAz7idam486Jj/5okvG7pPsFDPSlyUdvDOwsmk8lWLSJPM8b8b5a058P5xCh4xo7BhXnOBhp1W3Yt3W7W+FS1cmxqN1pCut1o2w6GOYxXWGXELlUOCH3/uIfDXzaV24Q/jB9z7iT/7gu6QsLOtCkcRcCjllDyZn5jIbGopSHS+pSKkMPs1ofS6XsrPG29ukqGWEEwjf5StjZ/GtiDPtajVh+zmxX2V8fTH+8Wd/PTJ02xQE18mrNpCRtG5NWc6Vh/sT9/cP1KpAGcX7QRq1hJQEL2fbB7tDJT7LElVWztTBxzoNZdxAVdHMI7yRFFQh36pPr694dnNEnFu3ObDC/snGxz5Cj5H4SDkPV+9xAfW7XO/u7nWl+p9NgN6rrsEOKIfFZqmdUyUmzxDCdwGF1cmRiMWc6L4ANAJ8vsACWopcrgnZFQ76n0zh4XQPyRAAmi9r3thiB8MNwMHrQFahMmoT0BWkNtv0GXp2crxLqYQhiZS4Jr6CfPZFySmCri61kXPyuIOTK91olDKzLAvH47U1UPBCzVLKkILZG8jxXP48++czlGb/Uo3GoMEt8pZWawKsF192RQvTKGo02hj7+Du0kE7O3SmHiSs1t/7b3/uYn/3slxymAx9++AH3yxlSIc2Zw1R4c1rQ3Km6ktSCrsHBUyxFb7SJSF3bNc+TKwNsTRXsnuKIsg3RVtNnsrZru0JWPwQCmY849kAPbpQlbzEkid9juFlbamgbcx9mD6/Zdh2SLMTatc9JavtJW6euJ5aH1aguydqVicd1RyJGtz0XB6jEoR1uqK9Z8FZW4ETmbS0Ox87kRiIGsv0ZRt4WjCThxdNrPvny7jeywx9nuEdczw/m/TpNIXIYIZt3uL6BMmdQ8b1eqJtgmHFCItXP4KOQBOkZyQXJzQh2iHWfwA2VQ/gpK7kLjWTvDcgeYrN7MLYTTrH4SEDeLvBwPtupQEbSBK4BHYvwMuKxLbztFPATcLfJO4I0O6Ecc5BzGrwmOz0t4F17I5cC7t6VXGi1D2MW79odrm+ugp9uqLXmRri+umJdK/M0mXHBsiIRTP7KNUBnLF438R2TdY01TvNaPjvfuzYv68kbw9kDP8nLVOru1NPe3EW2tunPX7zH1Y9/xK9+9Snfev/IaV148eI95vnA3du3XF0dOFwfmErhfP0Zsq7mikuyw0rNRUlO9Ygyj+yuXlytBdnVsqCxRowIGWvUkwNpC5WoV8IPKWC/orLAT6Tt+XSrtSOQ6jBMYXBsBbvqFih0mt2ZWXggER29IUIOdrDXWjmdz/T1DAhlyiMWCO6WJ7ECXhWkN2qPg+6y9CS0rmKL5EgANKE2RaIngahl3/oujKR4hnmsfh8bizo/v71B5DPbOd4OzdatGfsowifUFmJ3i/Efc8rOrfMW9N0yynkqv3sjVVun105NlbWs3mcruxqATYqKB2SbQEmQErk4VSE5+MFe5/Nvxky2/YWfXOPn4wf7gGO4Z5t7E9XcxlRWr5XLpN7c/4evpIDj+/3yvfcV68LGKta21WiJMBAOmL5OoCHjUtlp32q7RD2CG5s+TviohaPDVKYRLO7NpC66qgWG8QU5Cpy/CpkvkNUwVGxqC2IDHIsx9N2DF5amTOp+yPj9td7JI8Pkizjiewn+9uef8OWbt1Yw3JXz+USaJpa6cv9wT12NhPji6VNmEtPhsLnZvlDNVTVjkVLaFFD9WcYYsbllxIZRMywpxkcejckOdUQa/oIuMuDSZcY3Pmt8oZuBIg6YgKqykTDD+O+9n3D3WqsjOG6Iu5g7l22zh9fgzeFs9jog5olcZKbj2XbEUSvF8uhbylRXuAi0JH5fF8iHDQCE8Y3XPr09MpXE0gKF+dOMx9Pd78k2p44oVbspHqQt7gcWPtBH2/HXXe9spJaWODSovVO7kcp099ux7Fe1hZp7MX3zJKQEuQi9NnOf0oRIMQtePBiXEuoUhJCwiAzUgLKioOZLg5XJGOfFYFzX6I8nzlo3t9NiGcHQ3Z2mu/zpRUp4H4cg1qc9V1MzVF2FqRSrwwsFUj/1s7i75JurE2UlaRioYKDL7rPIhrFSEWdmG13BeLEJmuG4KZXBf4rf38fAHrPHY4OqBq9qWx2q0DvU2snZgtDbBvWEhZ+08d5eRAHeEOKzV6/51Zu3vokT62qNOWtrLOtKKkJtK2++/AXfvjoa+kiyEWp314j3+HWRFVWbd6sqqwTHK5A7Yic1jnwGTWBfcd/Fqh6aFd0GaXa/YyRIlz4KuGtrSDfqGx39ufdkGS0LDwSjezQ/dUTbemNZz6zLebj6o2NSChdsm7tImnQvM8lsiZTLbLoMxJciQC5C1UZt1vjCUg9lnNM92M2CobWxXvz7Fvfm6fXEk6uJz96evXGCj6mH4CPoUjTOvzBUQLfMpCCIGpl1zBVyUTXwm65vgKSgNqV1WFsz6dap0XveSj4QeraOsRmITsS4EdFuRZglW1PBqmZEwuXa+9rb3zur75A2FKBSLK5RhGm+vrVJ8jbbvSE9pGL8pNUdFeFRrEsZYMO/oXSptuj81IpYXKsddLWsXgkRsi0AHldslDAUUdj6FbkK3e5na4OF6XCXRFNlKhN1rYgHl7t2bwLhLo4voq/Ivtid7AzzzlB5rVmtK7UWjtNEigIK3aED3cZMk5CqktSM25yElAq1dtJhAoRSM/M80/pKLl4A6xIkXQpSLstQ4tqLoQ033DMSJReanoHL8pEweBINRgmjEoBSxnurekG4H0Ibf2ibiIumHLqh3T16iExfGO14hO6bfxQMq0nzLMuZdV0QMmVKw13aVx9EuZBtaNDktYvdJIOBsW7GuvJxCHMYyMqKfy2xQKtER6RtOGxOQ8ZHBtTYgMFhynz04gmfvz2xHdn+bGPQNqb59h9sXZHsBLYaSV87pP0S/I3XN0BSjXPPTN3CLa3bos7ezqip3WguE6mYoF3TTmsVbZ1WbXG21lmXSm6Nw+17VGFI1VpsyQc82aBt55mfXJKcsf5orCTIiQAb6a/nTNJufWE04hM2sPZx/eLkBlt81hrdGeYeb9pkU+yvNlT/vA26ZwJH78AUqpk+ue5uDELfDsWpWvyq92Y1T8UCwDnbAm21M5ViNX8puSSzbQBZcf2lxfq6EVA7GL/sIGH8YwsmW9xKWdeF+wclUczty+LhBg9Sq23eSCPPKZNKGnpCPdkh0tXqw6QkxNuhH8vMWis38xHqPQ+4AK7XeooEWXQjVNqdRn2mrbNa2wgRuCliHFvDOqmfXeLotg/XySIDYYAjfrJD0b6W9oXUZsjs+cMRGgsFxuf7C0kdxMtwFKWuq/1p1Up70mRJgvj9R66bfe3GyhMCKnJxn4Gi9mh6SwYYKhPPhuYkHtLY1f0RnXl8aewMTrgQ6r/73Y/e43/42ecs3deNKJG4inseDuJOccGuTT3FVHl3pUHv6O+9s5E6LSslWRnEVJQ+WQvpJa0mHYFlVgaXSUFroy2VvrawbPa93nioK02Ew5PnO/KcRJApHnlA5iCi+V4fC9kGONIZyuFYIHgvqZFHLzwepYV9sh3dEBOlG5oKpra5qDI+Q31Ti1j3mZwz67IyHWa6WJwoYxk9oxOo0zXsAx6jLMvaZdQ7npigWffgojIV67TSWuMwzaN6XN21lilxXk4WoOxeNvHoOR+7gNvnb3ara0fXlWU+k0syJYhkxrP2RnDRiM2kwnJeB7psvVJycYfDXt5Ux8Kd55k5Jd578Zz7u9ecPAMksHVs0cdjYxsrGnDmyRBl1+5uisuDsBmc1quVLI3zxN7TDFWsgYBFEn+hMJrURguouJ9ANo5l7GcCMhCvl6NoGoHz7muuLou1gSpWxpOkWILiUYw0xCQ346ljci7iUCP+tP07/k6jzElIHaZioQ91iksYhz6yQ4Gk3LCT/PDzww7hg/ee8K3nT/j5Z2+st+Q4rB/FctWNVzIjbV2gyojbmoyLH+Cdr2Tef931zZDUKhSBIsIhrSSxSa2tkXI2/kvxMoGu9NWC7dI3aGx/C9o6d2/fItM16eqK7Lo/g2rgp0BwZNPO9zYv8ZEL4sHz2+sjEEqHWxBWu8dt9gaC7SzGx318ufv60b7eXoMt4nW1REJbGy3bxkt4z7pYcA6hg7l90c7cEVdOZdxfQgxhxGbJ1kx1ZAFlW7itN0/PGzUhskBDLE7VY37xUO4iqe6ew1tF9ca6nDnMheZpaONV6u6p7a+uyjQfaes93Td2wigNP/z+91nOCz/7xc8tHNAq0iwWEpLSW5Zqh/rU7mUTHGx++7IZUkAjc4YbrHC1djWBmx26fNbhrsXcyw7VjvnfjHryg2yH38c4qmSsm0vUpvra0Upv1gqs1k6eZm8dFu5YPAe7lDxEQNDGIjax6XHF/VwYBl+f4fZuSg72fteHiZSg993viZClu8hiuMDq4xd3tT3qsQg/+Ph9fvnZG4vXyte4yCpjk5siScjlYHW9AqfTyd65WQOP3zlPagXO2jlgAbmHupJWOGKwtRdhPiSKWMDcacA07ay6WuEjGAzt1h9sXRtv715znDJJGdXZZqycT5S2tH/yAe4WtLETO/R8nH7/9MkVc06+8DIki4EhzVnfmxJmIKb4+uILX71R/tLd7mcSWc2l69LoXows3bqiiFr7oWaqM25gLXuj3hhBmxkkKzwOsp636HKJVdORx0pjsJbX0S7bDHRjbSskSBOufZNodOsMDRaU9dMcjFUeWy1KcWJziFrKH2BdK+tqKpnGX0tos+aVcWWUKp1TrVQx5Eiz7JJ1aa5Mx0LCNJzu788m5zvN1oePjKrLyyZP5u/JkLjaJEFAlGFMUfVyqcuC1yDvDkOlOqSA4hXZY3LD6x1T7p/lr+y0zZFMVpLi1sc+KTZp82POaqb8cGvUVnk4nRBgOkyukiDDlRS1RrqmFW4LUVEzyrujNDLLkIa6bRzcG6Jr4wnMzlUs/d947+raEhwisOFDVDbJHnHfrquSU1BwCiH5nbry8QdPuTpO3K3hfRRb4FYjT8Q6RbKRRjGNsKU3Vw+toCuTJIrCLMpcfs3p/+h690YM+IHaTWrjtFRfImYtSwaNaL1ukxiyG007UhKpRbFvh67UhxMP5Q45HDyIuHdJdJxykW0xSOtozJnS4kFjBJ5cTzy5nnh9ar6xzW/PAr10DzQHi5wdTPJl8Wjc7CXbMo52PePnnm1pUgmiZBQQ9+6bqXimRjupR1DRfjaaWOZM7RZvCjienBmNQq1uDLGNKiKWfHA1y7X34W7HfYFuGcIusKobwq1wtndbaHu3qLXG/f09UylWVNEarfdxT7GZpilze3VFrou1AtM4y4XUO3cPJz8tOzfXN9RlYTmfoUymZjrn4eIQLkSM89cgmzAso2Bb5KJINZxpeTQ/kSyJA2PD0/J4uge03pM9gwC6R5EOXy7iZ+ZFmlu+OD2llOIUnHTxOhFziRDTFGuO8sedxfIcdyhjMC7R1A6JoqgYkbWtlRc3EzfHYigPYGhfbSjROGZOKfAxipd3N46ocnNVePHshjefviHorLYfXbk1DhhV6lJZVhObnESZaRxT53pKPDlM3EyJmzlxnN/N/Lw7mRMLtLWurNVOpKV2UqrkDPnKiJsB2WPzBZ8n10oBWnIJ2y4k8W4ky0Ke500MbAQSPd0skfGK88O5VnkU/w337JiF777/jFd/+xrmMiSJoylCU0VbxbltA17vEko29eFvazhreKnJBnON/mCT3ftqBlEzOU/WURcQLzSW5N1mJA33zgh77sI0U5DQ5lmb7MHI8Nayn1yERranwr1MKRBZTpcaPR11JOkt1r1xY5QmRNaxN5vb4IEty8Lp/oHj4dpSxkHCHV6JCRWezmcezgttvgax+Ie56UIbTHnwCC65FM6tmkFN4eIHGTEmU7ZYGVwaHf9uzhn0EYUhkNGII8kwJvE+q/OpkqOH+KU9srIvt80cn6vbD8f3eq+7NSNoa1RXWDV9qy17N7K5bgi3WktLhFibqK+ekptLGogyDGZj57T6rZmnsiz3/OjH3yOnxQiUcPE8XzGuBEnUDaT2jZTeEiUJT29m5NO9G7rFi1WUpo2+WN1hEeHZAV4cJ26miatiSq6HXJiSME+QdlSY33S9e1mMgjalJaXmztKEJBYDmVLmKiffrOaede8pL5ikb0uJlsQzRiYzbKRmZ477AA8hzggOJnanZUcoY2OBIRtTsLRllAS+/+33+Cd//TkqB28nbQHYnBJTyb7FO7onbfftzOp7MqDBJzOYaoHyzV2MjFGc8upoqlGrOYiNRsmZIqYRbioEnrNx9NDZJQncxdmSS0IKqoHGqW6LrFV1lr9B7JFriQXoqKN1b78lMsiTVnpj099aR7OhPOvdZmjzvK5MByuLUW8HFpWXKmrtl8SC/q07g7t7RpfO8ThxXk4c5yNLbfSmrDTOVIuRSXY3GMsPaejWK5G2TWkrgQkVTXFm+j4gHlDfhk+2ufNX7IPLSrgsblAFQ0Cx9FxhA1W/n0ZsyL1R2MeNVBVtpryacvZ6tW2tbEJ9EAG0gZz2CGnEpLq7+olQuEjx+16ZYBUQoQDlY6ZCWzvvXR/4/kfPQdrOA4i1nKD3gYojOhaHog2yZfGSj0US4eb6YPfpCrpbKK2z1m6aXjTm1HhxPfPx7YEnWbgq1u1amym7GiNeR/eb33Z9A6kWZU3K2sH07zuBC8s8U3KyzZgS2lY/pHxzy+b2ldbpSYxQGBpTqmhvJM+E4VNIEuO9xASrGzJJyEgHuzSE4JpUnfefX/HiduaTuzPzYfY1kBFRpmTyslUaVdvGIA/3zxf8ODfdhdGxYEOgfpzz2/990Xe17sURU6l9NdRSCiUZI13DbRnQWnfEU4fhIiCZPjbZ5QbJqViaRGC0GpOtbqrTxs8eQ8XocNxaY5qsZGeSmbZuyo+tV07nE71F7d6GJJNajHDKxagIbsi7x4Hw9+/+BzFCr4hydTzAw5nYdhaH6v7vflEtMQ4+R7Z9P+4SYQXZWsuPmNb+2iEIH2tVNp5ZkHHHAaTOmpatTAicYrJRNzZf1JeN32P2gucxb/LoTvTy7uI1I+S1X1fx+7tD9HJrCzusT1VYl3v+6A9/wPVkmliajOahsq3zka0en2k3cMFJHNbTDOLxOOOpn2GgujZas+18SCY9fJwTtxPcFMxAYTFVini22HXuH1eA/JrrGzUHXToUi2/aAmw66oSkGdW9diwtnq0xghQ8BtLIkqyVtyoqnSxQFbRVWq1GAky72JOLsEUMJTGxX8jDj3fEBeZiTTnz+9/9Fr/4b/8aLYmSZ4bkRe5e3FxBYF2j6+uWEdLdM29IKVLX/eJM3bt//kubW7Su5K5UrMNKCg9CNrgdAd7kSYYkMoTDTPbGBFPMeO0IhrGQsrfn9mSCYG7F6XwilTQ+yymz3nnYSZFdKcmaB+ScqbUxTRO1ms6VVKE6fEdMcqOoM8dU6CS6FpKakTIpFxuhpTZr/aWdFYtltV4hF7RVr8pPbO0P7Ioqg5FtcgOSHH2kAARqpUdKuLF1IJQkaTRLkMTlJ+jebeqoNg9I2wjlMFRqK62pBaqV6JDiawJDkuH5qCq1mmJFSvYuwY/X3Zztrz2rHByrBft7sx6GqNL2O0EDgeSKFwzj2duZD54f+d7HzxCiz13kXqOMqF9YcQkDCRh9Z/ezcRudefLaSp87xWp5E8Iswm2BQ0lMopTeSdqcDZBGGVXKFr+WHbr9bde7G6kOLcFSu9+oGSJTiDF002ulBw3e40jBf0pudDKZ3Du1OVW/O5lvjMo24GEJbPJkKzYdAYuAuTriVaiQmvLj736L//ovf8bru3turwu5FGfjW3Ywk1Cxqv913Wnb2JF5+fAOkx8dYWw6Q5vJ2gEw89pcVrn3bhnNZUUme21wfUSEqUzO2seF4NqI54yM+qPbivifaVn3YaSC1a4tTiyH7G4QTVNe3SCtA+bn4rGynFidfBioqkzF3Tkb6y6FJsLaup2SYTjdnarraq2skmU9z8vi8j1wVSZybzbLOySE7rTXCflgL2PaPby5aTtD5mUqHvwaU/aVpAjRjWaLZSISXpJnbe3bKdxlhEFxY3dAeHIo2ktFoiLalwV1byDzr0NPjtIfLTT/efKSm/g3j15nf9sTi3/dkbrwJ3/wY5NuJvaiETu3CJRubyiYYZSIdOnXfAKgwmEupJLo6kKInsmes3CdhUOxhqjDy3Frn5Mbfzew6n0CfudlMTEUXa2yGqAIiGQLzOIdW9M2qBJjPoLU9r1pSnZCVUh0UFNWiAE1Cj2IE6yC09YH/8kmJeGZ95gMYvPDk+PEH37/2/zDn/wt95y4uoVDtBzyAPbEpvYYgeQo7r0gFRIb3Qa9O6doH6TeGNK2AUaNFDv+z8OZaZo4n88WVMVOo5QSy9rJUuzfeUORkSkNRBks470cjMm3mJKj4HEvV0XsPhHqEhk2R7C0vtMHt2eO56+1jo036gF7snRztnS8JmsDXlPh+N4T/u4Pfp/pMHNeO3/7L/+SMuPjlejNWtPPJVESvDcf+dvzHRHX2BaKa0FpBFVlkGZ9cG0ugmcGhEBSFK/7oI/Xx9xsMam0Q8tR9Oofr1sMaR+XTLm48oOtixa1q7ppisV45VbR6TDUQ/d8q4s/voZlfPh2z/GaiIb4qtsMiL+5oUnG2ui18/0PX/CdF09N6M6NRGRcIQ4RHW6fvaG1u4+Nar+2+7nPzeSVJNqA3inJmokeirlwJI9TOSbtXeldrPZwmFM/cJLA77o5aJcNwFRVtCemZJg4ZTGh/la9VqgMJJVEUKfCJ38Dy+R0ENfQ0bwV9eKRChEjm/kpJ7LV3xGI16+kdvKpT4nxmRp//Hsf8xd/+QvenB7ID51ydTM0ix4zdkera/96Ox2311hcau86+FIPFjrBXHmcIlaXqBCWZSHnzLIshixdG0lERkdfhWGAslgw+yLTFNmrnZGyYWmupe6tvNTGrrU2KukR47mJuI6VG6nHCOHxZ+3HyxQZOqkk3vu93+Pf+nf/Nzz58GOKJOqi/OqTX/EXP/mv+O//6U9cuDB5dxD7/dKESdRxTSg76tcgC8aaUGF8/oXh8nuM8h0b8e2et0wUxIZVzHXNHpfZ4eDtlbvpq60SFJI4zB4bqEDi6o3ttrrV7b6tB59TYlIZulnxvb0xje+Pdcd4u3EgjwKvpKSWmHThT37/Y6YLFYgY0ezGqbOX/tbtZRfjb1ULMTgGEUo2Ko+2am4ccMidQxbrzO1zoRj3a+1C61jW0/XTEngzBotfv8v17khKNoQchRGW6elem3RmzjNdsmsqG59J1ZBBCJbRmtcheW2Rp6D3RD6A6PXleHRY90Alsagjs9O7jpIGAaTDi9sDf/b7H/EP/uJvOT2ckSQcr66IgDbuNqTdYG2nWB98p7BV+zMv4PrjK8yaDni9fTeC9IOnhKDVXjVN067TcZSBeGlPMYS1/1zrUmMuSSmTMZlVkMlR4VqhN2qPjsXmDlna3OYNtXZbFwoKX/dQ4DwfPygAUeHpBx/w7/zv/ve898G36KqcTg+kJHznO9/h+fNnvH71kr/5m59afBIzIq0rVdUkkz1YvgvRcuGKsG1wefRjkYgRxpb11bl5dl87Ofs5VHSgo0vjGOjdZ1Nxg96prY75GZpqm2/kNZDGeNwHzYfipbvMPWKbjqSGAmwgjjC4PsfuN4xngKAMeLxwWfjxd9/jvWdXsK7uLItnMQek3J5v7OZtzyCCapQYVd93rtulFuudpkxaViYR5pSMnIkdkMOIekZ9aZ2mLiDoRswMtX3q+rVF8F+93r3NOjogozsSlDwxO6xb1kopMKUDkxrnZdQ7+QmaS7Zqbu0UYJLCqljLbi1jMLsa92S4cFGujtCajviLPX1wTwIJdEgWmJ8b/P4PPuAf/7OfcloUvXtAUQ7HK0N76n68sKsvSoMA+VjmVNUCm0HvCJcgTjlL/3vtU1g3ZQRDQ3jMnkmxhooWC6rriubmfCixzJ0jq+5V+6P0Ye9KislhTFIoxzwUHGtKppbQGrqu3qS2mfhdSuOU7LpruyVWYpPUlE3DvbaxiE4+3TM0iT//1/91nr33HqFE+ctf/owpTXz04cfc3hz5gz/8Q/7xP/7HbuDsOSqds7uXOMoyCRCvUkiNPUN8tIgntlYHMSnjRCLphJBpLL4E0vAmzFV+bH5sKWVP4+uj78cVKhK9N0Rtja1tNQTVdgeGbEbF4l2AZwGthRhEdkxbNY+CDN1awacRO0rDVbo4kPyyn+eda2rhjy7WKfpQVn78w4+gNXfv2CE8r6Yc4xyfMAglVmIUYRkfkO7upLWNM6M4ZaMTFBnSgwThM6TBzaUT1hoxukLcRe+eBFHZGc3ffL2zkcoYVMv+3gnzR4s9M2utnM7NSjLmeStY8IB5V6HMxco2aoXqLlIHxZo7ZI1+WV8PUdS5QjgUNePgjlagFJs9Q3oZ1uU04jC1mZY0ZI7HTC6XRa17l2Yf99nIj9tJFq7f45qwrwAsib82V8TQTLi8gtZGEmhdyC41Y7GlRldzDVLJjBbcnoGxtIFtNvH3HnWAUyHnQvGg97os1BapqB1u6ZHGx1xFkp+oX7+AogVXa41vf/wxKWceTie+/PJLvvOd7/H5Z5/w2eef8u1vf5dvfesja9vlVfhgoYK1uwSMb0mhuzvgWadIgeo2Yjb/MfhmrNUNuOxOZNnt4oGEdnORJO3ijsPHAY2iW8aaiHnSXq2o2+NeERIwBC6GFCWR3Q0d8aZAMs6YSylb23pppOLodDzbZW3e48zXeF2ABYmNLrTlxL/y+9/mdhYjl3ZfGw4sh8sbY6vqu3n3Geoyzj5QMdS7G6BkQ0+h7zBoBNpHHWX8bhejmp5rp3UrdC7J440xt1+Hdr/mevfmoF6uElNQJDFl63RiBD7ltJgjmCbTCppysUaAXh6SJkcjvdqwe1pd1Jm7LgdyMTb7f2tMOkT9UyCW8bq4RzF+zecv3yKamFKnNdDaOd2fQBNX1zLYwI9jHMBXROVEGnTvdtPDw7888cYJsYEB/+vRc4VrMjZInH+mGd5bZyoz67pa5xnN5Ln4KWjQ2lQjPA3taqCtNaaU6aK0BNpgSjMiiqxWDD7uYWwqYOAKQ4Jd2jD2+1S5pKgLdCKmQEoTt7dPXC8qXGpDsy1QLxEWEw4k5u5pbP8s26SPNqePTXwt4/C109tcpDYQZhT4muhCoBF/Nn/b1rf4mwTS7/UCTapuG1u1071+MksxSkTaJFI0PkS29ulWYuLoxbW6RDfdeJK4zI96Q9TtkEwhZeLxq+0Q3daPYzd77t55dnPgB9/7YBCok6rREKWYEcGbpoy/w4RvXZqErY5wRLv2LicGwJ8cj3z56t7jzZt3FYY5lnVXoxetCrXDTPKsnowDYc+H+03XN6AgCNFWLJGYkjCJkJNrUWcQ7wDSa6UuKzp1ilpr7BJNMUtlrdCw1GTJyrmDE1vGooy1ehHE7bKFk9xARdB0bDI1iy5dWLTxxat7l1rJIKYM2tYV1Ttjx95cm+vnWbaoCRsJItn4TCkltObh9hRi0W9pmMdKC9tp4ZPpKfVQRhSE3ANlNapPpKaGqsXRNCvSTlY6k/OIR4l4qlw3blDJ2WsTOzlbDMQq2ydTBl1X2tqccMkgHKrriluvQUOj++weMNQFOpYI+Ou/+Sl/8id/j/lQKBl++rc/5Vsff5tpmulr42c/+wW9Vw+QCkIh9cY0J3Jl0H2ipdTXIWh99I8oerXqhIRKcyOwlQZb7DIRJE3YAhVd2yhFMu5O91Ihj7B2sKL9LWBtXpIZkKIbV02cWoL4gab2DF10GAf3ruyzLEjrsj1KSNxcBMd7dze4j2TS/jJWuhmY1BPLWvnRj7/DlC3znpTBIA885wvPg/r2ky51EFY74fpuCDIsSGBS6OQufPfD9/jpJ18a8Vg6zd0+AX8v+y3VRupCbX5e2GIdaihjI7/D9Y0KjFVtkHKyWp4pR7zAjEMKJcRmch+kmVD6SGInRLPxIkuiSKeKxbuabpuCOKF0MxJjoAfs3cj82+Dac4cmzsNp5bNXdyhQUkamiXW1uEKtK2/vKkfg5uaGXEIJ0eG2C9qZ4bf3zzl7iQhI70izBRrZ8DBmW2Ywxm47Kf0xLAsY68cnzJCNxVSqVtNLaowAvhnniakUf04GobGr8ZtUMZa+Gtco7iDnPApe+2wihIpSI+bmsTRTDd0yh4MP1K3ko/hnqAj/+X/2n/E//5/8L3j64jmSZr7/wx+iamU2n3/xCf/8n/0ExIi3RQqlKTciHHzhfTVQv831xny2/8fiDnMXgV/TMouJl219qM9lDPLOXRwuukQJj9UuBgE0Ptd08kN6d2s6oL6eYTD1GNQIlMRlE9c9EFJ3OQ10hDEINLL9v7lU9D6ps81Hp2O6Wu89OfD9D56QmpN9NUyKOpdp/IueFO1husLd20LoRuvo4x52n4pi8aWPv/WM7334jC9evhnj3N2FjDtVP8iaKqcOD7VyrRNzyohaMwhDW189lL7u+gYFxpGWVJI0shR7TPW2ORqbyTZAx/u0zTOUiZyTEwITOU0UFlSsEDHjihd7P1X9zUm7CfcNo41dGGLLmsWv+Wo+nRuv75dxKkhOxqfxiVybUt++RRCePr211lP4FLpxtICop5y1ox7Mlp6YUiZrpvU60tKDYDi0cmQgPfHNTZLdieJn3nAR/fRW3d6zA15XJ1dWjFpK8ZM4Ogx3E8qT4uVBjDqwaIe1d2NzUW+NBcJkzR60g6bxuXt3w2L+4VJZJvHtqzf8R//Xf59/+3/6P+Pbv//7NIG7N6/4q7/6K/7BP/pFaN6LAABoB0lEQVR/09qZrkJW4ekkfOv2iqvlzHUXDlJG6EB28/6VWIwntbiYl5hnIZqIjzrIMEa79XJBDmb7ee12YEWxsT2fuUVNXTomB3dKhnsXMUDY8cbYwgbx6eOwsrdHFArJYnS6/XxkF+Mg8jW2v9e4BGP0axd6vedPf/RDrpN4nzUd69SO8bZRIR6HUcLUd19xtjF2L9sO6O2ogCk3/t4ffY+f/NO/5ouXd+aZOGTIavV4LiOPYq7eqXVqFyRligi91tFx+l2ud49JjT82qVO2QFr01kt4+xoRchZUG61WVqwEI7uMSBczas01jgxsGjzU7ptB3F/1Ni+BkCAm9auTtxt9P0aF02lhrQ0jljUoiTyZ22PcoQ5dOd3dM+XE8ebKGilKdJn1yR5IydO+7iJJFrImJJUR0wiezHZSeiGlv0fDXbW43e6rF8ai6HpZvxb1UZ0Oi1hmVTvzNA1IPxj3kQGUyyDx3uBExi7nzFSmgZRSt+ypPas6adLiGFUra1vI5YacEg0ht8YXP/lv+Q//6/8vV9/5mLeivDydePn2DWVKfOfjD5nnI9ITtyXzwSQcemK9X0AbW8Zpc+sMl+/ndpMGVqw2LdZ21POZa7aplcYLhsFwRB5NUFHx+Nl2oAzt+8jA7uNBklwGx9Lzm2FRZ2tHTm6XWPHPGVM/EFp4BcYvxFnuMXUXeufxPAGbw1z6wfjx+zd8+/mtafjbgFjscbf29uN4MawDSelYf2GMN7CwWzfE8yrHLNxeH/jy5Vv/HZdMEh1I11c3vcNpbTyslWfHiU6nOsJ7NxP1TYyUbEbK3D3Mb8YyVBZI95yeBEzegs+bb4zFTHYuaRGQ3ljXisyTl4HEctUBH8MADaMxJmIL6McyqL1zdzpZE0Y1f7w3S/lmzGDWIOW1xul0ohxn5lT8GXxh+0YIxQCIOrc6DEBAfxFTz1zXld7TUBOwW9/4W4aOowh5QzyBEPwx7D3VYHhPFqY/n8/UtjLPM6rKnGfTK9qO3vEGITO8J63u3dHscikmW1zIrVHd3a21GrJqhuhar5vShKuiZunMFT6YDjzc3XPKnfP9A8u6kNJEVmO4Vzfu2SQi6UXCvwDJiFfMqafEL4i2Oxa4ugXYS9/G2NrBEXvLvui9OYjYNxI12ocFnbcha62ODRnoOdzwkgStneZyN0NTy5MnfqKyuUpxdGzzPuJbu8mN5E5OLltzkXB7FDRX60Isam63tBM//PAjj0nKWDwel8fiTp5F9SD+nogcKhBf2eQ+xiOdEm6Jo+c4nK+PUVLQB0xsbngKxt9qavr+59Y5LSt1nTmUxHGeqbWxZxL+pusbGCknX/qpFgW9VtZh0vzSnKLWEilNuCPjgnVeLiIwzYWyGC+kek3bBNz3SqUzSfYFpPTEWL4B6wecjviF/y/uDbHONm8ezjj+N2QEVs/mE5Kn4lWk1nPu4eFEbzBP09jAEshsd8VC3iRuo7OwMbnneTb6wI5rtf2ebunhIXTmY6wjwjfcwf2m067QvSwDoUmmuYKp8W02Ymq0vNrm7/LcKiFtrAzV0JwtKTA051Uh9dGiO7uKZut1SJiUkknaTNzMmccJ6LUbSnMFg9o9KzZZIfNK9w5V4pmvIAc/cvccNSdXiIg6SHESaNT/qbsqEtCJEB+0DbzxvarPwzaPj413c7lbPJnSuiHkaPAar7WJS74PGlbmk8Z9x7h/xWXbzUX25qvBuRrxVd0SFvbrHe0T0Kn1jpuD8Pr1K9rzJwh747O5w8QzDgMpozpijK9cuq8mD7xp1NsrHc0mIWp1rq+PxkXrDPnh7qOQencAY2TZ1uHc4FQ7t8eZkrop7tbftZHyBxi+t/+X8I6pyU6jGJicjfbvq8x3nJ1eIuolEkZTqL0bD2ucHDKMeiClTYBxe7AIQMb9bRNlLuW6Gv+o0lHZCIwxUR0LqOc0oXTWZbFN1RvzPBt6SmJZpLHQHpda7MtTTOVb1SR8c87W3cUXW++NMmVaV6NDpDQWZKwqm9jwgjyoKfZQ4j/rXVnOC711Wm0cr65IagTQ2uomCysyymQYB24fzR5GptRe7POZ/WDxJptqyZC1rqzrwuHqaCPnB052ieLeKxkv9dBOKQfaWkmY0VfB79ezahroYkvDWy++QEd2r+JGIAq1zeX2LjyEqxSnf7hHho7VR/Ay/mEHRWuGZLsXzMf7snsPsJKiQNO1Vtdat/cqaRonyqWLynDzYn4vD4zEdju7khgeXRrrWizu01a03vPDD5/wxRcv+eyz19SPO2WysUIjRO7rW52uqWoFxn2L3wo69nMOEO64bxyMyGZto9DbImLcXM9Mk1jT0DgkAi3EH4+RNRXOVXlYKsu6Mh8ypaTffeAcZ2FUBMhkJrJk5mQB9IDCIrag7ORL1NY51zNpysz5QJLsCpLGoE0poamitbKK1wW6uFpAJPEJY0ykE/H8ByqXC8vOeKU2Uw2V3qFXTOp407wWrNyh+T+MYqBUXTm3E/M0M00zJQqR/cwJtwe+mn0ZZ082zlIumRSBaT/Fs0DOs3U97rsSi9GZ0903BcU4OhF8DwvWtbOsKyRBT8rxeLRnkkAOCenOXCfcDl/Azl0qeaL31Wv5srHfXR/d9l4gUHXaQzOzKaYvXpt1CsoqzKWw5EJdG70LD+ezoUYxEi0cmHKxQufuzTnI9Jw8M2/GSHxTl2wGd19YO3ghas1AzLh335DC2pp3kO6jALm7DxT9CelOLvZxMEOb0bYZlX2dZJiJmKNpLuOQqg3Tfc/dKSWDLbS9h25u9ubC+uG6nUY+b50LJUY/oLXbhtblge8+P/Lhk5m3LxNfvr7j1E7cOHLHXd/qjlSR7E0kjCirUTmA+j0F1Ch+OIRnYmVqiNEdwvbUbnyCnK3Bw9Vh5v7UTVjSY3QWzysj4tXF9CzWtXOq1lQ3pcyUEp1N1fQ3Xd+owNhOIcBjNRuT1VsaNR2nq7qPmnxzCVuwtpRCKYXzUiklcZUSU5lYtXEXrl2CrMbB0BF32BbNHgWoHREEkQ6PIaBKSYksje2ErUNvOhjHunMPQkGgrdX+TJV5OpgLmLyMI++0edjchvjagujmoJZSLCtHH+5CBKojzlVro0jeCll795KZ0HBnQPZxBPsmDUqFNUQt1oyzNW+q4AjQXRdVrEOxu0bd6RQR/ygluTKnNSPV5gRYNxzxTFF6opI4rSs9z4BinaX6VuibnH0jwlqrc+MskXJQXKkh4iAe/0te49fWsen2tISNIhAoyrOb7n4HIulugB5fkoTmcdRwA238vMZMleRNMsbviIy4YWveIVkEktpGi0mCMd779ZEkjbR7vF9QGfZkWXZs/9C60p5tfbcTH9xkrllI7cA8FT49v+H+vHBzNfs76/i/qlLbOsYovu/HjJGwwQx4PMBIYugWLA+X0V+LJyNKytxeHfn81QMjKL9Hj2IZSMXiqRXhfq08rJXnOnHIm7H/bde71+6FsRFrmdRIVMwQ5R2IabsHJSnURqlG5Jwm3+AiWG/4NtQOFZh759w6dcZLKXyAt3W8/dvVLW2t5O3kEujZIhzSlSklamp+Upq1r55ezmyQM2re7ERz4fwqLN3Ij3WaORxmUtZBarxkKe820i4Y2rrFdJBkNXgp0aq5LgHziy+EQsj5GurraiUF2ixas8XGPL6n4U0r5/PZxl29gUPxppB+GoYUrY21bpkvBGvMaZyh3jf6RBi/MFBx2A+00CF5C7PzcqIfwnVprLVaz8GUrLHp4Qokk2SCrn4AuasozTetNxVtsLcwXykTcZc3fCoNgmzfLfok40AY7+Gpf4sbdUSy6ZkFwsFO+dbriDeOYQ/DQzR73QyhGTHTMt+vhUDZSSLnpV95LnZub3gIpmgqSC9eO3rm6THDeg9lhqYcp5m1dt7cPfDBs2uPqGyEZmu+EWVk1u/O2P02XqKhcmq9BvII4bCNpcBeIK972bJ2G8urm6PxBju+g83wN+1WCeGSS6pCVeWhNl6dTry4sQTVXC71+H/d9e61e4aUnaS1UeubmsZyVgZkjLbSgsHsugrrsjBPk3m0GhtBoJt+tpCYBWZd0V6QNA8rfumsu9cceksIIuqDYhsvSWL1QOYhZRZp5ORIIGXjcnQr7VESjYqqsdFR6CJoE695tXRcbWfOtVFmQ30pJdfXSUSmbKgJeEsf7aZGGm3o8eakSfJQHxCRoYYpQcacsqGMrkxM1LZ69b1eGCc7dS+LoKdpoiQTy2vZFmCE7pJYs4Ug1qKeV8Ddul1aHozg2Kob+GbBYQuwu+Gi01ohzRZDrIFQkpCZvMpJQRPLeWU5rJRmbawOOpNoZHfNh0sPI5j7lYiFc7SaRpzPN/cAl2YkWvCPPG6VJG/6U76Jh62IlD9bdrCkYkbHx3fpC0kSJWW6u6XhFkpixNhgQ9XaTbJoEJzNv2XDLRYBjDZm+D5StQyoqLWCUqlcTcDpnvlYQAxh3Vonex4eThcxTdGNe2X343tGuye+wOimdmBbTwE/xCRY+ntkFfWFHngQdYOUuL29HtnhEdiTRCdBt6w9yRIiVeChd96ujYd15YlmDvP0TrbnG9Tu2ePVbkqMtXfURRq0QR8a2g7xuz2MuAvRWud8XijFxdhLARWSzKah3TvF2qtQe0WZCElXf9uxxvbwGmXoNUdEQHyAbX+IG3ijTtTeRkys9xUVbwOldqra2rNn7V5eYhw/Q029JXTyrE9OIwtYSjEyaIt+cXjMwzNb/gzZDUjH4ycIrVrn3+YwJU793sLoQcobyZK+oQQ72TxQKo0qYhpmboCmqbCeV0pOVDVJ37WvI04yCowzw9UcQy5Ca5W11qHEqHiDAEeMqzbWDl0LrXbmkkhnqN3iEDZfgkoiHzKTZmRZEE/Zq3KBksKtiikPU7UnPO4PBNj4UrDFjqwuMG1xlpHB8/o2dw33z7p9rhB68ZA4TskNuhdg73+P7YDcy96knLw5hj9DvL+n6wduifEBRz7dsottoYiStSF3Zw7HbA09fdyPUyFL4u5+8cMgalm95GYYLt8k4549O6+ucBBrFW8Ou6X0PA65vU3C6kRjVm6uDhymwkNb42S5mDcnt5OwOr6kwqkqd+eVWg8c5sfx3K+/3j1w7kikN6zzS/fsQYdTs9bpJScKLhNcrLiyVjt9l8ViOxGwC2VKYaInm5TOynXvPKiwqKJZvJW2baTHvIq0537YcWUhZ/WOxWptvptPmNLJocyoHU2dfYWTNZzcFmSI8I+TU4W2KFq9Q0pJ5GzGpnvDT+uYbAsxewwqUpPZ5WGExNrcbeyQp4NljrC4inF20kBpSQTapsygbXM17aA07kx1A2noLaG9sixGEanNAqutddJkbijNpISTyigJ2cfZVJU8Zda2Wp1aU5dyMTSKeOgzT+ZSqEnw0g1NGqqbaCI0hXPrHFrlQEe1uvudRxxmXLqnUmwxoBEC1Y06sEex4T5FEWv2Wsy9skApGQ0BuF0c8bL8aosVSWS005aF3QyYuGqEmtujOozhMAa+fkKjXiQ7oom1ZkkM7YYQjZtWOaL05YTUxvU0MWFZUNFk9I5cKKlw/7DSqh2mQQJW1JCverYuQI4dub53cGOF8anw0iPZMQ77LuMoVjmQ1GoTFQueP7u95v7h5UX2FLqTod1Iq7d+78JSlTdL5W6tTHv3/Ddc726k4oOkO+S24sFFGh1L9x+KBZennJgQcsnknDgeDyZQH+1schrZG8B6xmFZmTnBc0m80sbZeTlJvevFvuI9BmSH4mOBJRiqCuocl8h64UDXShSwsgvXXrcOKR1JxU90K/gNP8C4S2oxl7WRtNB7olaTqEmpWsuulJimMuIaGzrwDio0UjIEFZ2MS8moZg+oz/Y68cr73pjECofJ0HMzY5OsY3FvDVULkmqz17RqBitlD372PpBTd/fQXCPrF9jrJkcsIqzeMy/+rX4Ydy+ODYTTVTmvC3IoXnhuR4+3tqC3Tu+wLJ2lXlng1g31aKjkaCI+ZN/1hkAbvq1VxrExNhNYIXWgzgADqkIqJv0jAtHiXHHj5wvGNqZDdMHGbVeOFeTeeK2NSfx2RqWTdmjO1qOvU/+WxaWCajCq3IZb25xP12nM0mkPDyS1xE/TjjT7utfO2irH6cj1NHE6r9RmXohisbrqpT24kerBao+QDBbSKOqxpOgcI7tNNJ7Rs3bxLLqNVcmJ50+v+Pknrzbe5O4zcMNo92FB+6aJ06qczo3lat9T7tdf30iqpUhiXeDclDfLQqKyFpimbOllFVYnwpUIRHuQWbKdLl2tb8VcZui2EGwSoFZFmnLtT/i6NdZJjNCZIPUItHlmbucq2PjFxummv11X+i5L4zjUg53xz+4IwbJ+JWdUGJmsyPr4GiXEidFEr43u3JmeMill8Oae62rPlnNmLgfKVMyAiKGMMDKR5bMgtd1U6/ueZjo2UfNNlIrVlK2rUmSiJ+/i0ZojRRnujPaOJhOzUwjizNg8tbWRFduTTpOjyrpWP6l3CCF53ze1IimVTO2d1jOSbbx6s405zYVzW+kC98uJ90qxZh1Z6WtFpTgajAzS5rbZP+1kV7aatAvXbAsuMWJNKTtysTlU3ZIUqFjmeOjTuzFRNVSTdghpdylmCCMUsFEVzLAmuXz9aPbARmQGnMDbxzpt7kr31kjaSMsJXc8+98kUGrql8pMKpSfXsofjXLirZ9ZWnVDp8Sg2hKLqsiiR6fW5F4TVXb6yJxGH8ZVHfKnYd8R8WCjj+ZNrSvau0IFIMRLnMPZuMOlKI/OwKnfnhevz7zgm9bBWQFhagmacmbkosxSKCtqURRuItf2mN1rNdCppyhzEfFxJybvtFsACoK1GqjShGHv5lobWzj2wzoUuyaGsi6N53GBYnl06U8U4M30s6GGRxjVOTydeinDRiMHY12Yd96SzwV8SYzOBn9y9G+pKlxNt8i+NtFj33hSV8mk7Vffp7uwtv+JUskp8I6WmZO9pyYfOYZ7t5ARkBm0WV7tQYhBGF+fWGtEeCzb5mTAIxpo3dGspbNtA0zSxLGf/WeAYW649FVrOnEvhjXbe1sppWUnlwLIulEmQs6BZqAJvW+ehLoaWgNYxwqw/b2TLtoSJEuKCcQglZ+HsN6NRAmxOFO9Y3bd4FAQfSofR27KGHmfSiLZw8Xu+qrb5t5u4WBNfCfP3XcxJdCxB8UC5NbxoaK+2BmuFeoZWyT7/3UtOFEaSraOWXUOZp8SrpVK1cmSie/Jn4KEwjI8M1z5+NLwR3yf7OQALt0SXpkqFcAe9xvHJzZHDlHhYHqOii83me02pKpy7sDa8fve3X+9spGo3Aa3qDy3NyGzgqfwegUVAGhnoLu7Vm9Xl5WSdXbU1k1HNnpbPFu+YUqInSMkIj7dVyf3Mw1lpeabmQhPfZBpljZEZkgvvr9aVEKYTh6nbKRz8Hbf43bk9ydeedno18mpXAY/xSHJGuS+X7kzp4fTTR8oV9Wxo604piBhHctmU5AJnURJhNYBaVy+9sNebBItrRKWQxk2jsSVYc8/WrPC46WqnL7ZRJdxKR3KK61VFpqxuMZ9anaqbPdtoTMAt3gOErrc9snCunYecWaaJw5NrjmXmy/NPub9fWNaVUgpru+fm5ikf/Oj76Ome9sWXrJ++trFPUdwbrrRtz+EmBANdN8MILvsTQXH/k5Lrc484VrivjBrAlNLFHo2DwL6O74p7mZv7GUYxGlpurqbs6KaO1BCXRHYkkxqmCqKGipqapllrSF9JrSK12vOLHbLWwEIHwkzIVuKlFsa4njP6xmv5hksW7pjfTwyQPmrJrt0OPhUfDxnoPaRpxpr150sS37VYYpLO9dWB6+PM/fkBXCIobkVVadK9/2Cgzs7aErX20XXqt13v7u4pmF6BxVSWrtwvcD01ipiXPbSqk6Wu1wRTz9S1sshCwmJRJSVIjXxIFBWaWQOkC7WtFmfRzmFOXKcJUuFuXbivJx6k0HOhJWHVqGp3UyXigWn7/NYeB9s9ECqBvthiB+pVWKJDU2qyyLvVyvVO1eap5FgMMee+gHGOj9+TSDGY3ffEQONJSerOQg7emLmL1lUHR47i/KYwgj5pudA77qLaoosIT5zBgI2rf/TaqiM/JXn8bYPuWwwBhLpW2/Dp0gUMze62Wn/FrJlzqzyswr/4q5/yNgnTPEHOnNeFN/dvjSfVOvenE//NP/kXCJ1ntfGtPCPLiY6QpO9Oc3NBtCvDY2JzUXw7Ea74KAr2hRAF7+E+d88KJkl0TGXz0SHPVpKyCxpHpjXFTxjjIOx4cWycMxVvLKKRnIFOp/ZG1dXigRU73ZsbJ62eaYvPbZ5lCwMh4xyMVmpWnK4cSkKa1X+4dTP0HmvBDXxK6kxzdz3H/90Ye4IoiRVFmSsco7zLTMeaV0Cs32YpnadPrvjk5cmMWFQOBO4b+ysQuKG9pQvL7xpJNbVMmYU0hCbw0Iz3MKfEcSqewjaLWwWoylKVsqwIiVJcdE6USSbPggk5W9OBulS8ghQRU/nMbtCeHRJPEd4sK6/OZ+40keaJlrJjKedd+QJf1u7E0t0GdCMf7PNhZAY+hvC7UZOkMURjKpwdpXY7OVvrI7wTB/A4icROpZAFatiiNzTi4vhNjbYhbkYl0t6eefGYSRAyY9EoyiKrPa4HK62iXwa+H1mqXdbKXB/x4HuUx8Q42AM0bzpgzPh2WSRtsJnWGnOZRway+/OWfEDKRKNbA4icaDRyTizLCejOr0pMInDwoLEY2rZskxA8pyyBih672mJKpRGr2mXkIt6yrwCw11kWNWrLLrw4tn+oxO/tIPnFyMewPkIqOyNnR0Rzl1y99q9ah+VqTTFK6xibqHsZEBd9/kLWOBZsF0PJ3eM6Xa3TSp6SVxbgNaayMw9uimzIvPlqGAwZB1JyRdTs/Cc7iPzgS2LuaYxS6sNIJTxDKcL7z5/wL//mS0wGfsdBC3QskeBOY5pOFR7Ov+PAuaXyDYqK2CCcVbhbO7eTkltjQpgkOQvV3JS1Ns4i5FRZ15VSsoGtLGQplKl4qliRQyEfoNWVpa70VlHpqBe9Que2CJMm5vvKyzcn2uFAOhy8fsgXsSoPp5XFSzxGuErNWMQz7M7H3deCePDb1oiDbbG7KG5Ya+ss2s1wdxsXPJXfEXOVcndJm3AJIYT8WnUDgILXUHVP+apg3A6FOP80il9xGoAjVhHxhRVuqH8WQLcGkbJzHQVDFxazqh4E99qylMiUYUwFGen9lDN1XTd+lhjnbFWlirCiLHVx+kNmrSfasnJ9vCJ1pa8rQkHVibZzQ6T5uHn2pwWhMrnonHoiQMdnGhvaEO2ICYoXUudoR78ZHmtmqbu44n6u/Tu6w6C7gD1haCITGMhkx7+K0g4zmIaoe682v63T105vixVgt06R6hvdsm4SNBfPItvGj8J5HS5n7Z3JG6cqGOdtKhyKHeTJmxz0Hm7x9qy21AvD3QtDPOZ9I/hKssxgxI4Fr60UkKwjVyDqLrQI7z17wlQyJyc+29mnoy9CjGf0M2i987BaN/R3ub5BTCqKfmVs4K5wbsJSO9eTktI0SIElFbqYxU/rypThPvxgOVClc5wnci5MpbByZp6Nyb2sQj91eoInN9ekeaL2xrKcabWRksV+0rnx5fmB09JItzdGqhMLyD2cVuraXJaYry7MiHwqJkoY0NrdAfUJCHdyC2QYNJ+Sp9ktgo4SQmq+6Duu8mluQ8oeY4hZzqZH3fyts49tgp3rol6Daos0CptVoYlBqeTGLPnZab9qvmvzMobUrdg4DFFvndatr5qoIqlY7MubBmSc+uHB52lKJFnNbVVTRhU11cWzVhZdAKXVla7JkePK+XTm6njlpFTjBFVdOGtnmROqld4dBXsmuCsuEeMlJX1DBKFPpIE+R/RaXH//kQGyEAiIkrJzhL5io3w+2BCYIbbMxr7uu5c6+vR5DqZdV6tz7H1lbWf62qE2khflFulMkX0OnKQbmjULY4tBku7CR5Etc2Z3cWQMSILbm4k5J7J6UwzxvoCOYEasylHW/nmTJIrkLSSyi+FNUhDJjvA8Fqe2zrPGvVss9/Zgcam7+xPJXV7zWHdUi3AVEVrqrL2bgsI7XO9upOILD5pawiJRVXjTlRuFq9TIEZ/yLIbFZYTaQbr156utcmwHIxmulePhylyq2ekKvqgOhyPH2xtSMZG5nBOnh5NlM44TUpRUGl+8Wbj/YmV6+gwOB7StnFZjQgehzQbKJyzQLoDumpKqTZQmN1TEYtGx+S24a5sqjwVtp1NPncrmBnZV1orzsBw+6+bWgDK5u5SQEWuQJNs4JvGT00ipXWGpOPQ3M6jaqBo93tzpGLpBzpFJdsr23oahFJ9Pevd4h8e7sIwebBpKoJRutZa1NXdXlXPvrNXVVfGaRDHO12lduD/ds6yVnIvpiScjA79ZFta1DiRZ1Ra3EWJlbPwKTmMRM1BBhHRDbJvKC967oV3VyxPcMsJO201bOdJYAmGcZBNo3CRNsruJNgbq4xTorqt6Ymg1Zn6raLcKimhQUMSNGsLq1iXRyYQCqw6CZxS+h1vEDvVbuZlNpmDt5N5/8QSZklN0EioFUZPybTsXdbheYY/Ekx9pY57LWMqCJgWJtRKu9sZkt3Pfnn+eE8+eHvn07Z2t372mVhpYboRDbHyxbPg7XN9ABUEGCOgok20helfu1s59zRyL2OR4sHHyWrQyzcNFujudOBQzXKrK8ThT187xqlDWM6kk1vWMauNwfYsWCyCHi5Kzw1o77HhCJXXhy7sTr774gvL0BUritDZaxEhFhuSEzbsMuG5LMnsK3FO+agHPiNZEtiSM1hY09QkwMGXuh5PqcMZ799O89bY1eRA/tKQzJeHgRMQ20FIggOSStTa5Jk8Ch2wi/IGqehdaF5cu9rrKHmlnf13kWFSJFvcQQWU/4btSnc1etVpJk24ieOIF07U56pLGqTZenk48tDOrNouzecb01RuTgGm9UduCoKTceYvy6SqsCCsNzfZchQkRZRFrRW9FwtVpG8YPC4MeEtA5W7t4C+S6sR/IYUNOEZvbF03HQRQHlPhzmppq8w5D0dRCUF1RoorCOE7rulozi1btAGjN0HU3Mu7SuzUtSdYC7lAsqO523taTq9h6VdhA3hBqIzpQoR1+RsPJkimp8OWbt3z44inJA9WCIF3AqyZsQQRdxy9X1dXUR32h+P9S3mKlMmJJFis2xrmvqjGewpPbIxGgjchGrK8R59vtKERYf9eM88E5wWCineHNTrzaebsIt5MyT6A5Wdo7J2urlHUsGAXW3llPd6yt8HA+cJgqN+tMvVotyNg7t7e35OJ0g97p1Qpsp3kmFUMEIpAp9H5CZSafKp9+8QVfaqFWxwqKw/a4e3YFui4+5pkPOyA9QxJzq/YLI+9z4TFsJ0TENCK3gWzNHMJhME6T0R6SJOYiHA7TiLu400ivZiK7FwTvmc8Ra4gIlIiawmWJU9PuoKvQ1evT1Mh2rTdnYvQRDxN3V4MrpLrSVGg9mcKq1yaGgJkF0RdadNXulc9bM6TXY1PY/Lxti6sK9MEHkm7o4WUzBLUi9NVGsupKSgVSG6jTUJlxuFrD7gdn0xejV0TLeoA1NkM2ZNmdh2Vr2NyTaI0embOxebsOF7g3He69qKK90bSy1pW2VNZlZa3NS5Ma4gFt6Z1ZhONUuDlM3B4njlOh5ERKUezcWGpjaSZBbYbOYmxZ7ABao06TyPJZu4OGaZDRIMnEi/du+dknv+TFsyccc7HTG0Wlmwuol4a6686VdJcovLL9+toOcw+uj+LkAa7QHmtKePrkQMmR1YzKABlf29p2iqx//kUp1G+4vpHoncSDDqsYMDFxOnfOU+d2MpYyztyecobW6MA8FSQpq5eRnHtjXR9YlpVlnbh/mOmtcnU18/6LIzlNnFdrn21uki3YaZ5pdcUycJ1jNz0d8aDdF794ST2fUS2g1ngydMYC5SWE1MXlK7Z4jkoEb+HReTAGNuxdCKoNXp+vh63Ga0NbSayjcnE3sHdlPkzMcxm6UVky2hJN183t6FsjBXau4ki9SxhXl3b2T8wO5dEN4msKTFhcZse6/CQJ98LLfhVqr/QKzfytAeNLzlZG48Fo7SvnYuoWa+1j/atCT8q62kYk9nyzONxDsgxnUyEmR0TofaXLau4I9tmIIYMkwS2L4L4Otn4us8uQGNqWXQA9uZ+Rw9XDi7JHFk0dhW7lQkmUdm5MZaK1zrKeOC33hvKbWjmUqgXEu3JImZsp8/T6hqfHmeNk72vgtkO3DtVrb66tX0nSyVk45tk1x2Btnft19ULoPNCNUUW6s9Q7bW1cXx354e/9iE9efsFprRwPB1jNyetstYzmGbvb6EYj4spGgnWj5GsoIUP1VkiWNdStCmC33M0yNOX2+sgxJ07VDSumsCC4FyN2VtgRqrvf/u3XN6jdC6sIuC+dfYNkhNaV1+eVq3niZp6GaoL2bpX/SYYJLiUz5ZmHhxNpFh7OK0u1ep4pZd577xoVqGtHq7JGNqoL0+TooJukRu0L8zwj3tqIq4XvvTjwow9uePs3b1nM8nzlccTtumVuXF54vCywz/bqDT1dDMrF+7FzI7c0CEgzuZbYLD11pAhPjzMlQxUPwufMw9uFczP6w2i8Ki4o528b6fqYF3FjGafVOPEIrkzf7s9u1hYR4abG01nMo6t6MYPFX1p3wqCYA9nUSKoBwpbaSDlRigVVLQHq+kqtcjXnsViTl0L1ZL5LZ5NnHuUiYodFDwMbxtNJX4a/LG7XlhUBFs5WepQ6KZkixRb7s+LxLb5m5UDqNYzhare6NWNQUXrtXF/dsC6L6WVJ97IWK7Q9uOv97Gbi6c3M7TS5gpCyrI2lddaurK168iDWonsCGbIzLZJTblCrY81jNC5Xrd2rtar//o9+wIv3n/PD733X27YrUuwQDMNi7x1xIVsrQamw8VGir2rSRMEE+vClvBFoL13mWP5RBnM1TTy5OrC8PY1llga4YHMpsXUUvLB3ud69OagvFHGrjIDkUB2wxlRv1858XzmWwnVxSQ0Fydko+6ipJIiCribN0gXRzGmpvO1nnt2YgeqtsfQTtRmXBjHagv2sDjmOMs1kFMkVTbMpSmrmT78rvHxT+evPH6hp27qO9H2gzUAl9iapsyXzdwH12PBhG3Tb82jYQR1IYpwZip9UOlzMhnLIwqGIpXUTZN+Qy2LqnFUtzUzf6quy81aybpyqYV7EGi8aiS9K9KLmzg0WbKUlvpCRKC/pDu19FMSNl79XdrdDPfA+FZhKsZIiz/7M4qgIthhga1wVP5V1ow1E86OeklsltvvA+FSWoQrfQOi6NZU0o4cVkGPJwLY2JCfOfbWHcKQguP77aix6QdDWkR6NURmscY0yFDUIclcr1QJBltxJwlVJPJkL13PiaspM2eJud6d71rVTzbfHYSpJvZYVP1x6NyRr6XJDrh5wSh403xKV8cUWJ2q9862PPuTDb3/MuZ749kfv83C6Q1tDJZH985uvqS1jGWbCTE/UisahF2ROwTW53BPontDpfo8xB3b34kAEnt4c+fT1yYraiYUZKMqTR+ioZ37X6xt0MPZk60BUdqQHpLRTOPPy3Lg6LcxlIrsi4KqmlJA7lrlKtoEPc6Y1y+wstXOuyrOSkZRYzyu9W+xDpkyZZ4sneClLwPZwd0x5YEY6PD1mfvwt4bwod+df8ov7hojriaNRSkWnh+bZOBFigQy6hW7wNJaL7tcOsLXDlvF/1ZhCjKWum+HowDRniqX2kKYgmbt7M0oZ04y3BWmmtHYlu6JByOHYSWhFxbknN5R1m6s4PYfwv8tnqDPPxPnEu2cxyoO5ANZ+S3eAMXlrcS87Wc2k75tk9GQL2nUZt2ERIelOC9xXsamGuvF0NKjdSL2B1M2AZssYY/EW+zh3Bf01XbGC3b61U7JCaUhqSq2JhqhQ1+YUEx1zYjw79XuNPdY4oMxz5jhNHOfCVcoULHv25mExSWo8TCCZJMUoD1qJOlO7X9/YgmdzQbowpXzRwbuLP+MWLBoGpvXOzbNr/uiP/0csy8ppOTMdZro21vPJS7XcPdTgtG2Hra3zHR1BDfXafwLqLqUfqluJTYQ37D5HWqmbq5wk8ezpFfKLL0cc18CF00plV24jQeT9GkPzNdc3cvf2g6YSG945Lh4obj3x5tR5elSm0l2jSZlzJmRbFYOs5EzTxtoatZoURSlGZluWyrpUoxTWTOlwmCdaMhQgwLosWz88SUxTJpPJ2eINP/62cldX/p//3a+4966SIj3ihWPz2cnpYnUqKCZHvOGpr/eg97QcdTQgA0HtAt6OAMJdSii3c2HOXvMIpFR4We9tHB1tdj91xgnfbGKrAN7sAlGS2Oazrj3ipUHizyBUMbne4F3t5UYE5+AooBuqTAM12rxWd8fE779jFe3avbrAv0Mg1fFqyxbmZIXRoRawxTVtY+Bp+kCgMRcpXC/x3tIK+1KNMYMa8X9HahXWc+d4zNzeHOxn3bS5iyS+eHU/yjK2w842T0aZklCyqa8eMob66UZvqdXFAhnyQ3iJVujZGybs41BNXQa6UEc4cdhb9+jtMAiZHtt2sfosjnl9NfNnf/ePmefEmzevmK8OHA7XdnCvDZq1G+Nxl6Nxssa6jKSOLeJQaGVkjTcUzcV77PaNo80wSs9urygilhyKA0aV3Sm2Tds+NPJbrm/Q0ip58E3GqdEx3zqLEJlnScJ9Uz5/OFNmmKbZ2pF7YbBijQdCLKyroD2Ddqak3FyZAJwCa+201tFUSbWi7WhNCUXInknILg3SagW8yl0sKP1euuHPpLKs8P/5p7/iziVQ/CwnjMkYuag9JIzppn75FXy6AwkKAxnYOtgjK91e7ozbBFzNM3PJLNXHNk2cFufNOILLw+VyN8qhdsPiG91F7rrYxmjd6rTS+L1mnK/u7GbdgsjJF7/VK4YL5iRBIPfN9TGVS3UUFIghjU0XHlmU54huCDT4S713NCvJaRagTDmRNdqcb2s2qWXrTPDPuO+KWvV/GPwwmrt5MUc9KCWG3LSajG1OgmSYHMlHoxBRc7Un10ErWaxZrdihIlrpDc6909XoCDbGgvg8rL5uknqhQAfxLrCa2ALPYB1bDH8i4vG93vxg8MxyNg2s5jQS0yTvXF0d+PM//7t8+6MPaFp59vwZ2QP7t7fPWE4LbfVaSwk8xTBG4tUOYDEi9YMsSm5s6flaUN1EBn18C4Ywu8ZquTy8r64OHKfC29XdbTf7hFfhLqURunnn6xs0B3WkID4Tg+wbGSGliZIo1J54e2o8vwYmKFNoDPXtpMNIgLUZwa11EDKFxFoXVkxzqfdOrR1WWJczWm+4Ph6ZpVgtGN7vz3sSHY9HHlZrp1Sk8PzJE/6NP7xB08R/9k9/xuvF9J+sL+WAKeBxnm1qN2g8sPJ+UmKH+gayw3SDVvEedvlsdzMoOSfmQ/YMitVNKRa4Tb7r7ffbsHNbcNxdVYlKKA9244utBTKwA8PiYd3GVgKgGOUi7YxTEFYbQFerw7Jht02VEoepcJgnnlxf8d7zJ7z/3nOe395yvLImFfNhJueJlAraO8v5TO/KUoWHs/Hfz+vCT3/2M/7yL/+S2hpRGzYWs7s1nUbzFlpNTX7WnsOgZ3JDmwIiqQyya22+ZoDkscs528acszDPR5LcMRVrglFC5xao3qnYGoWYhprtbc9c5Bix7tr1ijbjBoaLLknBDZg0M7Z1t52tcNyNsuo4uIREmSZSEc7LQhynvXWePb3m3/w3/pQffOdjpqkwHa85nxfOX77m5sktxye3HI9XLKcHP1i3BqpcrlwieC++9McrdHPndIPE43eb7xevPRlrUrBxn69mrq5m3i6rhw3sd/cUmizWETqxGcHfdn2j2r0U6e6whLrBx6h2zr6gly58+Xbh6WHiujdKyhznA7VblffSqjXJ1My5dZp6V12U5WzFrdFbb3CMajUEpgarp7kwlezpZEuRLlpBCjmbPvTxcKTQ+Lf/6Dt8+OIp/8n/71/w01cP1NjkKdaCjMHPuguY+8+CAXVxdMR8swUSNZDPxYtsilCL0xxLZnbVyyQNydb5udK9kvzx724IxsbYykXiJpMvybi/8By6qit0yDBC3f2icaL5rXXsoLDUurm/h1L4zounfPTBLd/77gd8/L2PuLm+4fntrYkDdqWuldN55e7uxMPDyunujrUrqWRSEuZ54vbmhsPhhuvnz7h++oS1N/4v//7/jX/yk59gMi0WlLVAb4y9IYlRCO3zE2gw9LWI/hS9B3mehvVWlGSGe8qZ6yl5U9TKsRipsi9W5rO6tG9OmSLeqMM5gNKNNmIQ01zx45Q5lMQ8efkQVsDc6sr9uXKusFZfT2KoKnvLc0WgF19Wbiy85CTaqFc/SFs1Q/yDH3ybP/+7f8iL95/RWuPV3T3r5ye0Vp7ePmEupsBaDgUpAiubC+9XjHOol14ctr7Ok6Qto7o3bsPbU0siBJKKte/rveTMsyfXfPLyDXj/g0HeBCKIbqOgbNI4v/n6BrV7bYikxXaM4GJkC1RN6jQb04xX58bLh8pVLtzO0TnDGdHKSHebQJ2QS5xmLpYvRgot0wTZpG6bKudzp7UT5SxcHQ+kSdC8xci8TIzi+ktXN0fK6Z7r797y3vW/wv/9v/gf+OefvGZNZnpKch0cXM1Ru8ebImwoYy4vMK7zkEbpRcztI19bJWIpBv2PueA8cu/lp5zODrkjsMyWBh7v40g28NpWc+V/6ZbJizo/izUkryVUqlgGKYkF6MVvrKtYJrVXDoeJH378LX703fd4Mk9cH2dqX/nZP//nfPr5W169fuDuobLWRq2ddaTX00AJ6zA66vIfCSnJGhSUwul0RntjHWuhO13Rk2JY1i8OxSJGecFRB+7OBBpO2YLwZFuX5nIlQgXuqhTSZIXYz26PHA8T90snhE2yCgfgKsNxSszzzGFO3M6Fq2lmmibyVMjJYoBW/eBYxd3AaSpIKqgk7h8e+OTL13zy8p7XdyfUNckYCGNDLvi8pQJdrJ6xrcrtzZE/++Pf5w9//ENKEV69es2Xb76E1nh6dc2zp084Xs9AZ13PkKzJSVtx9B053W2R2PqKxEqYERmvH0TNCPKru+KB1GUr97f1LuAGGJQnT47b53kc217dx93EGS7yblDqnY3UsydXvL47+dMbvA4rqeJM6taYzCRj4Dzx2ZsTTw6F2+vZWkeJlQTYyd1ZG6y1McLU3r1EVZHcXWKiU5hIeSaTqH3hvFi77mVdub09Mh3NCBramr2hQWPtRv2/ur2G8wPf/6Dwv/23/oiH//Qv+Jsv78zFqUoq6oWRGU3xtSMQMaM1Ml8arteGbtRdrP3kjnhjAhWPvXSLi1irqURbzf07n86+6SxOl8AWbywHR6v2nlt62D9sIL/Bh3FjmX1Hp2Qp/WjIEHOmmNGq9qh854Mn/Oijp1zPwhUL57uVf/rPfsYvvrzjYVlpzQ+kocpgC9/q2UwrKIqm7VZ0xF+kd0pKpHO1IuVkYykIqeTdYlREM61aw9nDBE9m19z0g6MDq8JS4/39HrrxstWDJ16Yz9V15lAmqitxHJPwNAtPrg48uz7y5PbAzVG4mqyoutVudaa9sbYzD+d7TueV0fDCd5t1ArK9kNT0wHKC65uZJ0+v+PaHzzifG7/89DW/+PwNazcEmDD0Zgi4oirUnlAvkv/RD77Fn/7hj3jx4pb7h9d88fI1b+/eMh8mPnjvOU9vb61vQHKy6f0Dta1MaaLpinHKNlRkWdFLg2Uj7S6e02TMg+tOK7JdrOECetxqr9EW+lnSFdHG1U0xcUg/CCN5IxrlXd24jqv1A3iX652N1HvPbnj99oGN3CVEnZD2jor58tU3ViFqwDqv7s/cHAvXc0EQk7FN2bkt1dHUytqsqaSw7xQLIhbTmrIRNqs21qVyf3/iOB3oAk/zDcdjAVlHnKKUzHw4uIJA5/bqhmnq/DBP/K/+7A/4P/+Dv+BBhKvZ0Fs7O1MnOUxPpjpqs+l+OWoT6hB9QN+9cw9uYMySxETHoiiTZRmTj2TXxGmpFD/7VszVKdEYYZx6/pGPPErB4XxyyWDHWlFtE/YiIfaeqpE8o3UP/Ar88KMnfPzeRNYT0/yCf/nTV/zNr17y8qGNjBF+EssO4m2L2NELjpL7hvoSrspw4csGRyf+hKH3Yutu4/XR8+f88MUNSYwceVo7kid++fI1v/r8jkRDpXmNXMTihInCsjayKFdzJrni6ZXCDz98Rn2+OqGzcn934u0bY8C35verYtnnWmlNybkYwbgxNONbiCAiZKxj0pQLb1vj8zevyPlLnl1f8f1vPeX7336Pv/7F5/zy5R1rTRQie2sItDbl2c01f/QH3+fjD5+Rs/CzX/yKl6/vERq3tzc8f/6U2+tbpulAKQUhsZzOnNYzeS4cjtcsD4uVVmndqDBDffRRvILNAMVqGjhJNhQVyHX/O+Bz5p6LqnJzOFCSJ2rczNmhud8chrA0WKS/5XpnI/XhB0/45ScvjakbUDuIZx6z6Rg7HIXcgyyWeXNaeX1auD7OxguXbs031TTQg0hngmdt25wjc2VxlOJ9zSy7lznXzt3DHefzysN54fnzJzx5cu297SwJnASuj0fWVqnrynE6kMj83scv+Fe++z7/9U9/xYunT7gumfuHxtvTwtvz4oFXtUwOaZSOSG802cJMFgMaTvs2iUmHIRFnkHbfrakIOaltkGZaTWev15vUYk6rp6XzfoH56fg45LWf+w3e74yIslX1y8Yts0JaC95//4MnfPSsMKXKzZMP+Yu//IxffvaahgWXJW0nsYiXSvhnBOlyi7NAS8qqttGtJs0OtL67w7jLQQdxerLE5k1m6EpvfOvpE5cwsTTysjaydorWTUfen62rdamWIEv0bq2tsFZskoRX9ws//fkX5h5nmLKt56X64dMDLHkzehVCgncvQY2aS6l0VjtdEVyGOcFxnjn3yuf3n/HkKvPhh094/uKWv/qbL3h9fyZl8wgOc+b3fvAR3//+RxxS4cvXD7x884raOk+ujjx//ozrqwOH48x8KJSSaK3ycH/P+eFEmhI3x5n5cDRjej4TDH0QepNx6D82VBf/jhBDzOfFUtq8hb3BSlizlN4a19PM1aHw5uRzOLwOP5AUaqtWTfE7R1JPn/D86Q2ffv6SlMqgEAy/1/3L5oWZRQRpxrs5a+fLuzPvP73hWIQpZ+6XjpLGyZ7IXB1nrm+OPDw8bAJmyRqRltZp7nPnrpASr+4fuD9Vaq28vr+ndciSeHL7BMmFnBgbBG/E2bsyZeHpjfD3/uAj/urTz3n1+sz03i1Pbgvf/uCWU1de3p344tU954dKa9WUmeL91OrFNPUtQzhOG0A9D3WROmFsPGu/FFrbxmJevYee6Vs7OlVLYTe8a2ygt0eXJSeDbIun53c/RwdpMvIy0SulKzy5mvjoycycOk+ffcBP/vITfvHFHVMpHFL1uJ3Vb5iislmV5u6nqjgB0eIWkSAwXpplmlJSX2xBIbC1MRWhiKkElJwtIJ8UTY21wau3KzRXBk1mKLQvnE8LrGdEK3VR77ZszTAiyaqSeKjdOV6miZanTEuNh7WyqDKT/P2tNnEgQcd+ykZC9Gm0EfXdaxUXZgwFMdfeIXYH7k5n7k8LUy6cl8Kb+8+4Oma+990XfPrlW17dP/Dt91/w/e+84HB94O3b13z2cEZJTIeJ91/c8vR6ZjoU9wwm5iK0euL+7sT9/ZlUCje3V+FHMk0TZ9GB/uM0/XW0pNB/1+CqDRASKGgzZIaW3VA7ehqKHCh5Eq6uZ16e7pnEys0ajdVDEnaQeGu39juOSd0U4bvfes4XX76hR6wGZZe9JWqspEMTjFejSi6Zt6eVh/uVDz94ztoEzieDpK0PSZNlXTgtp6GmSFc0Gbu8t8YqiQlLhS90JBc+f/vGOB9dafraYmUqXN9cwTRRpkLvJs9RBBZM2vb6+sD3PnzCn/7wW/zzX77mF5++paTEB+9d8/TpgfdvD3zr6TUPp5WXb+95fbdwOldXtwxN6eJI36GAu1EOFvcH0C5+ZBwv2zi2iRNCq8ogKYmSs8t0SJRtbG6bjbX/w101HQvFPjD+3rbWxmu5eA+FF0+uyNJ49uwpX74584tPX4PgDWCbv1thzpnjbMzvnLMdMN3Ld5KVTyytu4S3enMOjRphpilzKP5nSkxFmEumuITJVCboysO6cLeufP5m5U4q9w8n/vbnP2MuMyUnlMqyrDxUOJ1NLqY46SiaZ4h6KsOrE2qrCIm6rJTZmNtj3DTQgZX3RGOM4UbvPXsfuBjv7oF5SdY2eoyyz2v0CUSV9VyNZHqCz17+ko+/8wE//PG3OZaJZXng1aevQISr6yue3N5ydTxyfZwo2XpYpmKB7Tdv77m/u+d8MtWIp7dHV4lo1LYyHw/IW4G2i4vuEKxl4+M5CH99x/oXRpzzYhXpMFxjDFQHxwrMTl5fz+jnby9+r6NmE0gUbySio/fhb76+AZkT3n92xe31zJdvzxvlXexcLlrsVqznOk0suKqp072o9Is397x3NQ+SWtVK7UptTlwTYTktTDlhzUiNiKguLZJig3XlMBWO8/+/vXf7lS1J0jp/5u7rEhF773PPS+Wliyq6YZouUGuggWF6JGYk5mE0PMATfx2vPPCC4KEHGtTStERrmkZUT9Fdl1ZSl6y857nsS0SstdzdeDDzFZGFhsqUSpp82C7tqnNO7tg7Yi1f5maffd9nA/tj5boriCo3x2uOasMRX6+F7W6HiJjGrDZ/5Wq+RAqPNh3feecxMSaOJN7/+DM+fn7NJy8CYwo8frSl6szlruPB1Y7jtLDfHzgcMrO7fq6cpuqnS/N4qW2ztk1iXxGIvokFMRM2xHlisLL+/IbXs+u/qkE8Wp14Tpz9EsuS+igsRcl41wsL3gHX7QkoZod8te3MLudi5D/98GcUhC5U65T65p4qLLVwXBYCSoqRIQSGlNgMib63EiRFofOAk4KNsze2uU+wEevSTQXmUsg5My2Z67uFPC/MU+FmntkvmUO1bGoic5wDWio5GIE3ZyVnpQ+J3FQIsvaPWDtW/hVjpFSTFxk/r4H8ekpQvVy2qryN9lqrv3Z5rXZQpQN+863HSEh896efQ2z3xO/tFxQxlZgG6w6GwDJXfvRfPiHXyuvPdgRJPHzwgL7vGIbEdruhT73bu1gFMB0WpuPM/jiTS6Hve8bNSJeMulByRfqeOHaErjdPdR9fdnZK2v/6aSrCamrYhOaKZ07+shMzvX2WJv5uGChroAPYDb1xQejA1T1tXuHaaNJGCv3l60sHqUWVYYg8eXzFZzcfcdJSeye+dXDc1iOrkiuUGig+J+zVceLVfGDb9WtpUBH3Ql+IRLbDyDQd/caY3k7wP3u2oioMKfLk4pKSleOS6WPkZlrQ/RH9TFjmmUdXey4ud+zGDX3X29w7iSyL8WN2fce3v/Ean10vfHq356/95ddYsvLybuHjz6/59MUdh2kGgWFIjENku+vYbkdqVfbHo3mpz268z+nUWQOMnDZ3LZVOXGmuPj9P2vyx4Ho8KxQaNeD8QZOzTWab5XTwcfa7H24HXtt1TEX52fO9e9Pb9wR/Gi0facFeeHC1RVGu9wtr97a9BceJIFBrREWoVZhL5WY+InvrIgZnc0cRt8Rplh9qWJwTHM0jqrLkTC5Ks+BpD4BWJWgkudo/RyvVOu+6Sg02GKRUUo0kP5AVY8o3zK5JTURYjfHAQP1pMSF3G3guIZi9zUmBjidiazZkXc0TVjOmwOO+fSYb99bowKFxpNReP1NY5gOCDTsIThT+7OUd3/y1N9gOIykGhqE3aoNrJEu1z7nMhXk6Mk0zNQjd0DOOA0PfgxqhWUU5HvdsNpd0w8B8XBDNtLJVxHFinNslJ8eHc6qCCOsA0pWGs06BaWTOM7BdPbj7ft1uRppjQpNBCcY/RJWlZqeTfLnY8xVM70yC8OTxBd3PI9mn8bansK6jpu3DZK0sFWK1OXsiIAtI6CxAVdsgJj02Qt00zQgbtMKiBqhLhSSJopWihUQ06UFRHl0N7HYbXtwdeXS5YS7K7WFmmWakbjnmIw/miceXV1xsd3TDSDf0xnPxQZdDFL7zrTf5f/7sR7y6OTDsNrz9bMfbTzfMFd7/5Dnvf/KC/TFzOGRehYkUA+NgspbhMpLnwpRhWgrzUlaagN9lL9Oa/UogRp+B5xvVxK3Wm7b7Znyydqq3m6ltgvAXgPoTp6ux/++mhbsghC4SorBwCnI20qs6SVIYukAMlYvdhttD4TjZJJraFPLeumnGZZYNhVNwlJMdr6LkYvskFM8q/CH13Q0KMVQjseIWHl76Kk3vBqvDKK5mqEb4tMGYiVyM0FtoI78s4IsUv3aeZYoPQfU9vL7X2jhpjkUR3FMqWvkYYYz+ftR4W5VTWaQi7EvlT3720jqkiMETYsG6S9EkXcWlNzh+Iz6k1ZtKm03Pg4stXd/bdQXy4vQBlLwsxiyf8+pMO4w9w2Y0nSvu7OFci+l4IEpHSpGYErq0AFTXLMZZePZc+/ttnbaTT9nZFmtZl9/EdmSJJxLrt2Bdz3Ho13FiqzCF9vNOuW75VTtzItbFudp0PL4c+ezF/rQRWm0L4E44qpUliDkW4plFUW4PE8PWLqIUGxRQi8k59lPm7jABrBYtsQaIxqmac6ZLnWE4FfoB3vrGQ372vZ/TD2aRcVgqJQif3B5ZasdSAjXbBd6oTfIwW1qzjulD4kGX+RvffpM/+v6PefVqhnLF5XZgHIRvvv6I7RD5+LNrclFS7FANTNPC7d0MVIbU0YdIv+koI0yuTj/hGKZRM26bgZuxCyyz4WOHpfjGbzfQUukWnNoWMcyjrtf6lFOtO8AaFbXywe1EEAtQGsKZwNUeTlXzVY2duacOXeSj5wf3jXLwuOEPKyEP9xl3HMI7mG0op2E7rA9y86UKjWzhjGOLDeG/KYWrP3BwVlKAURIqNrRBDHovfv+qng6D5mZQ/b0YrHmih0i7ZtXK8+bZJXp6/Ba1mXDHUpEukFYul2Wh1fEcxagbz8VeGVpLIhjTfsnFsla35qlYORox57MW9L/9zhsM3UDRhXk2VUV1ruCUM/M8G/dPIuM4stmM9ENHikaOWWomOMwf/N7knOm6ntQnSl08m3TNnhOyqSakQozfdbp/9YxKomcHrp7tu/bcG//OykJxNQDshsQYI8vKeYTq1DIN/vcvm0bxFYJURCiYKvzxwx3PX+4paqb9UU4bbS3uJZLbaSVK8kwsa2RabHAnbSNWRQnsD4uLKwvFHOvRXMHxqForpVZSFynYuKhvfeMRf/z9j7iZMkIlZiGmjlf7BWo1ollR+mQXvRQbBRSidWRIwtAPPLtQ/tavv8Mf/eAnXN/cEES4YKAPkUcXO1QDnz+/5jhNbDcbHu0uKFqYlolpKjadZrZuRpeCeR+JZRZW69kklBgDc55JKZBrJsaew7TQCormDLq2wGlnmOfSZ6WbwlnDr5VXruPz0y95Ke5P55rWV3HluyqCBapy5gIa3e8717IGyHYSf7FNdOrW4A+ifX9du4mixrQ3TZt4GdTS/eqlvx1E7RRf/7P/PvNWNzrGmn+7BtGuRzTypqg33k+mceKldlXzwFJVtDi1xL+nKj6duzA4easPBsK3FbCA2bIN1qvpPe71AZBTBqhmaRwE+iCMJLIoU6m8+84z3nz6mGXO5LqQc2Gp2f5/ySyL+V11XccwDIzjSNeZZZEU6/zWpnqoJowXkTVIdV1HzhOqVl6vgyZa1u238QvOFArWQPDu9LpnznIgq4HXGqHdz1YxDCmw7TpeHedW71pgErWudbDOffu9v2x9BT8pVgDq4YMtXYqY2FnXmlQlskK93tbM1XU6wR6IeVFyMu3V2HcclqOxr7Vwe5g5zoWLTQdkqNnHIwU6CVajl4UcDEOQErkaE28+2fHep7f0CYYKJUXmUglzJYVoF+42UaqyGXoutiPdZiCkDkSQCJuu593HT0jf2fJ//6cf8OLFNXDJxca8qoVAJ4lPnr/i5fWBKU7sLjquxo64HZkzTHPh1kW1v/Gtd7m8HPn0s1t+9JMPqUWoUklJ/UFzVriImbVhGcIajuQUDNoDK+0AODuFqgeO0GQ0mEzDuq8VCOBj19cYAycQHbVZa17ChQhXY+LRdqDrIx89v2M/WflRac0LwQzY/IFsejv8F9TK+f5TMamSVLcT9CBke8Qnv2AeUOpdNZyLcxqgYbqy6LtR8cxKW6bTyjbfb7TszK6OaCQlOM4zKfTmL3WWuSFGUN30kct+w3E+spQM6/tZUTlMRg+PL7e8OkzcuT1K07YW95Aqfqt6LOANKZCrMi3Kk9ce8a1ff4ulzOSlsCyFqRyZ80xxPWIXA5uxp+87us5UFGC4WSs9VxmLVPB9VbLpYlPXEefk+JIHMb+2tgdaULJ9ZHvQvqvoibC79u5WlMFOUPFDTv3fxDOqlITt2PHyMK373Cgqdi8SAZHqh9YvX186SDWejiI8vLjgajtyeHkwTELbAHYgnEoD0/PZBQ8aKLVwnCtzFxApdENHTBYkQqjMpfBif0SknDZz25JiTOBlqYjYaKUYhbHr+UuvP+C9D645lghdJdbFWtmTEGVGKQQyS81c1R0hCNuU6ILdwHmamY8zm37kratL/sHv/Ba/9++/y6tXt6RwyW7bc7WNdDHQRaVLkRev7vj8Zua4VC7GSJ8C2zEQ+w3HXHn92QPm22u2Qai50o8ddckkiQQVig20ZTMmaj0YflOiExbrCURqzxCegquuwcgvy/rf13EifvW1lYjSNht+oJwEukaOLYSgdEn5h7/71/jbv/kN3nrjMdurS/7wTz7gn/6zf82xKFmMud+mAtseb+aD7rioZiZXnHEsGIZl5M+6vi+l4VzOzFfL1A9F6SXSa6XN12syG8FLP89mDKg9yyPXLO4UyC0wC8dc6TB/9FrNVSE7DSGEQPAAuJTCq8PdF17f3CbsRzcMrbKfbKqRMfCiY3DVmfZCJ0atSD4oYna3zLd/7Qlvv/WUPE88P7gP/LKQywKidF3POIwMfaTrbMRXcLZ/1UKt7pTqCXIQsQq2ik2OzoX5ONH5HMta4prp0g5H/5u2BAOHGMC1r34NvRBoAel8nZNe2g/NtSIpkMbkOKIfuL5/zS/NrHHavIFftr6CVQsrWLrpO549ecCnL/fo+iMan+b0EZoNb7MxRQ0vuZ0LMSipzijC0CVqLhxn5dXdkcvRuDOmE1MnhClox7RUkEynwuFY6UPPG492bKPw+QKVDMEmdmQidbJWclDjVQVJxu8Jkb40I//K7vKCMit1qTwae/7Xv/lb/Ns//h4vX90i4YLdxchuM9DHSJcS49Dz4vqOaV4QVXIXGPrImDqOk/KTn37MN54948PnH3KxGRk3HfnlzJAifReJQQjV5D2lZGISbzzYg3heQoiccIDzcVyn6sJxJr9P7XT7/7yXeD0pwcYzOW4TQ2R/d+A/f/+n/Oi9Dykh8RfvXzP7RBBwLOUXQLEWjNrXrDAXJUU1mQou/G6DV+uZ7g+l+iRmcZA5xEqJPjHbBzdU1bXEaN1e8ydvn/ck1/rFpQGIJrJeloXY92Q99acDZw+SNvKshyY9+2AIxng3Rvl+yRSxuXppzeg8cEToXamQq1IkkDYjb772gIcPRqb9nn0x/aHWQicQUyR1iWGwrl2KJ0dV1bIGaDucPPBXpdC6gaf0oMzL2m2PobPnQnRVHphXmH1+E3fXL1w6y8hbqD7tJj8jUXSFB3yD2r+7Y+xmM5yUBOtrbe9EgTGZZcuXWV/BmfNknh5EePL4ks37n3BYWDewREG0iS/t1LEErF1YmHJhChCCosti2EdUhrE3bKsUv7CONZQ2983cMuc8o6Ejq5BJ5OOBlJTdNvHRq5njbAD6ZR+IYujErUKniRQX4GhyEJRpmrm8vGTcjFxf39JFA/TrceH1yy3/2+98h//rj/8zz1/eQIDdODIOEQkbuq5j7APPrw8cDwuHqbBU5WLXcbEb+fzVnvd+/gOO08IbTy6MtCjCmDo2KREThDhQ6Ujpjq6P1qGB1fURlRWoxUFOO/3C2jELHjDO/adPy9vgZ8lF8GLI2sOVpQbyopSlUun5/T95jxROIHtxZwM5KyOrGB8urI/5Cc+wpoaxvGsx2Dy1kWZnJ7nqKfDaXypDFxgwF9Bj8c/i31IoVImrJjTWSkyB4GzxLC3Yiu0V2qAJXYParD6pKBXfz2dBX1un0TOHM4V+A3kF63QKXrqIjaAKFLqk7uFtgUwwPGtGKEnoN7Yv0Myr61uCREQSKRrrvusifdfRdx0pJVI0xwYrIU3e1WYpisQvkESLT6fWJsasStHFBLxiFJ82jqx1jatnTgou9G63Qn+B7uJqBc4sg7Hp0+cGeW3kOkBU2A4DFaO5BFWDXRwPC0HoohDjr7jcM1qFPzBVudoMPLzasv/0lmZkV9XzKsu97UXq02DVXr+fK4NYYCq1Eig8uOjpx4D0wuXY2emrVibgU0XUha0hBqZ5oSYb3KgsFK1sNxFeKVMRDkvluMBuDOwkErJwK0AoSFxIAiUXLnY7KpYNjZuN6QGnA0M/sCwLzy62/P3f/i3+3Z/8KZ+9uEEfKtuhp+sSVynRhUCfOl7c7DkcJ3KpvLrde6bVEe5mHj/cstv2TMeZEAyHE2xz17ygQbjYjEhXyHnxEehmE1H95GwjsFr5G9oDL7qq1RtO84urlUkNz1otnBVE1AS7s13T155ckWIkixAknw6XFuHWk9V/Ng2fYu3YVFFzt4z+yPqYblstE5GTp5Gub84ehOrTgfCETexDqEbrIopPesH4ZedB0kpIzxDa58aCWnW/KfGRXOplyKlcsXdwQtfOtJftQrZPLW36juF5zd9KgVmFQvQDRYlJ6PqOmJJ1qBcnF3dC19nIt64P9H1H3wiw0UZZhVbSIrSp2XjpJy4nW++F7xER2ze1FEJdfEqReTu1tLyVfu2wagBi46jpL/5cD1K0Tum6C04NhPN7qGpVhbTXEOxLDQbItelSf8XAeQ2nMkJUSUl48nDHh5/enGpbL15P45b8/BSsPazKtFSmJCSxablRlM0wIHUhBEXEbFp3mxHF/M+XxUZXa7DAF0NizpUqhVgrU86kBJsUWUpmAm5L5XBbWUbh0TZAXpBF6ZdA0MpdFYgjh+M1jx5eElLPzc0dlxdb+nHgmBdiCbz94ILf/et/lT/47p/xHNCrS7YIfdexGQc72WLl5k6Yp2z+1yhBM08uO3YXG2JQDkc7uYZB6Pqw4gxLmekibCShyU784l42fiiaOWAxYLlURWKT5VR3fnNsKfxCfs2JSGdPqLTiZi0PS1GuD4W7w8w3Xxt589GW91/c4anASY+z7lo8O5Mv/HNLj1qHK1AgKM0bctUVnv2c05+9lEROFsXq776eTmsbEABabfy6UUIsS4hquEzRujJ5tAVmf9MhJI7TRIhn5R0QYvRM0crS9dq1imC9iMFxt7AGf0WYURZsnFcVgxKSmGVL5+Z4KQX6lOhjInaRvgvGUUvRhnKkZMEJdwDBROghOikS1maK+r6wAOyUEN8K1mAwE8ni2FUNNhWptioHP/hKgwjqWvK3h/mk1WvXcc3B16y8xSfP5WlBK6N0g8mmtGKqCq0sAMVtnYG+awrS//768kFqffOG1IsIj692DF2wIQeeYeUg5sknQhDrhLQjs1CZ6sIhVzZr9K6IZnZDxzwX9sfMcboB4GpjJwtdMqJdELTaaKNcCsdppusC+2NGQyKlhT4LXReYayUvwqtjJYTKozFwWCqbxYDOURL7w8zVbqSqcHNzh1CJsWN/N7O7vCBKQnTmm8+u+J3/4dv84Z/+EKq3c7eCpEA/Ri5kQySyD0fiEjgumRSER1dbUowcpwOqldSbKWAV24hdlxiGDdPLW3rB9F8xocnufq1GYjTZUF2D1VJsUxrY4tNQgoGqesYbMuFrowX4oAC/nw2/EeDVzZG740DQzHf+ytt8+O+/71xKDyNN8rO+NpzGEun6LNMImWBWukGEU9Uka7kKTbTbTl9Zi0Hw0Uoegxs/J+A6wlYmOg68FMccMe1cVs8Ufc9aMmh2yKUuxJj88FT39TphKudJQj2rNQvNPLByVtT59WtKC9Copu4XE0zbLEIf5pACfZfoUyL2iT4FUoSQTplTLvl0zjgZMqqs6gWb6hIdn7MS0G6oe1O52+M6W3BRpBMPvNXcbqtls6rmHFEpXyjb7A8nyx/LroI/x653dLCq7ZFWMjfvehGhT0bzKS3uGepF0cChCvOx0P2qBcarKbu2rR7YjR2X24G7V4c17c4u5o3iU3Rp5C3DmBZVploJ2TbTxiKaPy4RjQkUDocZrTP92Ft9Hk3OEkO0i03lMC0cl8B+Vm4OBQmBh4935FyYpsxBlSlXXhxnRHoeKlzfTYTdSDcGplKoIbKfMk8eXTIMieu7G548fkZKpj8q1TCWt58+5jffeY0/++nHFClUgd2mJyY7FQPRHtx5JiZhSKbB6lNgHHuKHAwgDcEZxZZ5zvOChOi+z2G94bqebua/pYoHLQtSS3Hny2pldtVqkpV6CkRnGT4SnZl8fvrZMcrNIfPpy4kXL1/wm7/+Lf70hx/w8Ys776K2lP0sb2qC1BZk9PwetntuWISi7i1kfKwW2VY8RM5/bivRWuYAJtQ1vKi6VMO6epEgFvDF6RZaz6gHngSuPS0JxKiUMpPrQsXImJYw6krzqOfXh1YVBLSNxxIxLzRw+U/0wQwnjCuKkFw4HYOVvn1n2saYIl00LEpcxwfuU199orTjPuKaRHUmiWWYXux78LZuqx1aOZc1swKxhkyMNGa9qnm4NzC+tqEQsgII/qDrLwSp6tCDHQiyZlKN1xbWYcCIrq64MYpbO/mBWNUrS+Px7ZdfscC4Ref25jP2cD68GPj01R5CMNwEC0TiAGYX7XQ3XoeQC8wu9o0ou6Fj0w1QM3fHA6+OM9uhQ+KGonY6Dimx7Xvu9MCSFwz+Mx/1u7uJl1NhXyqvv/aYEAt3h4VrJt+MlUMVPj/MiHR246eFFDtSTHz28hVPHl5xnGbm5cDl1RVzmdFjtmxl2PH0W7/Os9jRP3jIwn/kz9//lCAdKGzGzk64KAyjjfoe+o4uBcZhoORMJDLGhT71XFxccLHpsXHggf00o8/vDDcIHlHwtL0dDDWhtZBrISukAr2GL2RZFfGTMmLTYZqLgbufS5slJ2h1Xy4/WhZVfvLxgdcfTzx5dMP/+Q/+Nv/89/6I/e0dheKZxFkZKScwuZ2+NjHoJNmxDa+nh/0M7VnLvy+UptBCSvTvNVovmJOBOEFVUREyrLPqsp6a4euoeG/L48TLeVnMY6oWsmaOS0CiYaMhyurZ1VZwQmMIQuLkJ3Ya9a4+CEJXEXUzOcR1gDHaWKwYTuV9DJBWTMvff25i5qbOCNYtxA+AcGoyrLwkbffAeWFrFsPp+6pScyGlYKRUjYA5eaiXZ9KM57zEO6ciiOOBFpAyteZ2rtFmX9pLT9cKYAlWrqYoTKuEIBDEGPxDElKw+/dl1lcOUmAnXRXzenry6JL3Pnxpm8lBy6yV5PyKDqFG4zhVFWo1y1eJ1oqsFQ7HI1d94JtvPOawFF7e3nJzuOOw2GifTuBi6Li63HJ3d+T25sDdvHA9ZZ7fHjlU4fU3n7LpOnKu1HrkeMz0Y7YUc4apwOeHhSCJLmYOxyPb1DFuB5Ylc3t3y8MHF35zC1POjA/e4Dd++38i7a44TkfC9pLf3Vxx9/t/wPuffEpki+jIMIxINGB36HrTYUVzEs3BrEb6rmMpwv/7Fx8wdImr7cB207HdbtjuRih17diZJsquVWs5l+qcf59qvOJU1ZjaNilFvMYxfWN2fMtOTAtUrVxfSzmtRFFu5sKf//gV267jt3/7Mf/kH//v/It/9e/4+LOX9h7Mm/fU+ZETXtHKPk4/dQ1KQWSdytuClZUI+sXvFmd049Ca82ncNNh8v4MRJIvaQdh+6SJQq8EKlrE72RMD8WutGFtOGUKiLkrsA11KJu0JakGkgS1ic4sktACjFoS9S9WGWNhwIV0D2DprTjzQRPuy4GQmb4KiNTd22Zr9rYZ9croq50HHNJIKbT6kP28rTlSNbKse1cQ5WyVngqSzINxqROe7qXimZF8nh1U5OzCrZ03+38X25BoSvFNam0UwEKIFKZYKWGcvxugeb0rUSh9/1YzzM3lAG2+VK+wuBoYhcn0oqzxGaCecTS3uvGVq4g/39hGbkZf7jhh6Si1MhyNRhNeurtgvhefX17x8eUfUyKZb2G027MYB+p6f/5f3eXG7sMTIu29/g6G3Wn1/mKmlstuO1IP5qdvIK5hr4fPDwhA6RqnczTOxAwmFTb/lcJiIMRCpaNry9N1vc1eEuJ847O8I/ZZnb7zN3/9f/mf+5e/9Pi9eXtvpEAeCi067oaeLcS0DumS8qjDPvPvmEw7HzPXtgXlZqPuJYRh4cDGY/xKnTFVxUqBnPUGNEKsSDHuqplSv2VrQJisRs7zxrmCqkVqjUwJMitRO4FaSNYeFovDJy4nvvvecofsh737zbf7R//H3+N4Pfsb3/vw9XrzcMy8n3pY1bM+AKeykNgLmSYQKJ1sYm1Nnr7GE4+R3ZP/omIo4N8o7ZBpgsd6h2a2oIWzBg4vJeuJaw7YmTXNjaE6vyzwRk5kO7kaTLwErnUDwQRZeshm9AA9UdjjH8/JULCiKZ02ipwc7tNeLafnaRCwrM5VUdA2KNQhEh0gQOsd57HdZcCjNG0rMfzysncl64satcs/a3h5KgWw0BHNQtfKtZbJNC6oNc/MoK+vrT8+0UQ/q2T9GpyW4YaOaMWEQcTwunkp4UZCyHh5IWO/LL1tfnsxZT0xVRzIptTJ0id2YeHlYTqOgxC1IMNBx42JILZkiQiUxZTuVlyVzuz8ig8leuhTYpZ5dimyePeX6duL5iyPzUnnzsXJ5MdJ3iUcPHvPZ/jnfeOsNduOIohxL5XA9sd0O5kVdFS2Vmu0EyCIcsvLJbaEPAyks2P4QZoVt6qnVxrMPlxdo1yPV5uIN40A/9Eyp4823K3/v7/yP/Js/+ENevbIsaRt3SHJRRrVi1rhelWFUHiZhfzdxcTXw5pOdcVccFxBVNDZ2vpMUwYOUWBDSuPK1TWyraIzU5BlTLVSc5VuMlVw9kNiYqmBZZqnkUikBV/3jmx5qCHzw/I4/+n7l+ph5+vAj3nm45a2/+21eXk98+nzP5y/veHF9y35ayMV4R1obDaIaWT64yDwoEs/U8Cu/y/Cp5oJRitFBs++Zll3YZVSSBDLVPceAYDhKjNGlIrJqxwqGn5hzgrFjoghJFQ0GXhMiu2rgtmVDnnl4jAkCnbTJSIrQDO2aV71nhKJEcbOXhin6QxnEZdVem9XawEEL33UVoPgL1AXPapOHpbUWtAVyw8esfDdOUnX8KKgFxC+mNx5sHI8y7Mr3jQJ6psk7Z+hLC0+nUl4AWR06WB1RWqlpl+4suwuWSXVdWpObVpI2lUH0DPPLrK/ggnAiE7YuX1Cli5Gryw0fvjpAPaXsVZVYvS3sWzi4R7XqaTMdFhvecFwKXRpQEZay0AXzE3r9wZZNCnzw/Dk1Zx7nC64ePGAYet5+9y36zYYOmOvCtJ/YDBtCiMyHxcaSFzPvVxZ0UUpQ7krl49uJIB0hKXES+sOR7WbDw6stAlzsLum7jlozQmSz3aACw2aD6EO++Wvv8J3f+Ev8hz/9EaUoKfUsdTFeUEyouEQACwJj15MuElO2QaZaChI7esei1McC1SLU4DPSxB7URuhrrgA1xtPpp5BqoGjwuXlKrd6WLraRSy6kLCwpsEQjQLbTORfIvoEN+A189Gri+nsf8ZffecyvvZm5GhNXvbJ7Fnnn6QOmZcdSLZM+zNlGi6vJdYNEL8cq05I5zjOH48LtYeH2cGReFnvEmwDZsSzUcDgEJHn5pwYJ9GLzGKuaj3lKJhWJjZGtLSBYSbdUC8RBbGhrqYtlKDGw3YxeUgl9SKZ3OyttoK5ZkIpnbDVgEPNprYM0Mcthcd1qwAaKtq6XnH2/2Uk3OUgETYRoB34I0bBNSztQtXJeKaia1RHSymjH/lbv++C6R1YSaps03uYRSoikZPipYZcnq5qzUHT6fJwyqZb6Ni8qMJO9U4blzQSxUluCCen7vmON/AKth2v4Vfv7L19fgczZUnvz9FlJXiHw8GpHJy/cVli8hDgp0hcfCWVylMC85LUFNWnhbsp0feBwdwSpTH3Hph+4GHsebwc2Uek3b/DBJ895/6MbHixw0MR4uSN2Ec3KYSookcvLDTVbK3fKC11ObMtArkLRiV4riyrXy4LeFTLBswHoQuTq4pI3nr7O4bMX3GzeZ/f0GcfS0+UtsR+pZWG5veb4/DkdhafPdlw+uuQ47xERuq5DMZBbMbA6uDVKDEIfI0uxIC5qzgNtA1Sx0zZJAE0+XaUaFarGtRujolAiNSxUFvd9b5lYo2m473exDKlGZS6FpEoJwYiFshigXjyLCRCqgZrHkvnuex/zFz/reO3hjiePeh5cbhiigcUVJYnZCefZfLT208LdceHVcWZeCnWuHJbMsVRKqZAgJc8WQjIMJ+gqeYkEAjYSSaVYkCHQSbTM3TtRnWfm9sjYnwxMEBPzItweLXt78+kVQx8Y+gStu4pJRSSaU2gjrQb1TptWFwk3gNtY5sFFxu1BRONqItiCEn4oN4wKx32AdaK0BTfntQVZO+HRA0B1rvbahFhxIHHIrJqEqDHNpdCsWMQNJkUaCdOzqVqcKlcs4Qh2ze19t2AvVh76+2hslhbMimdNMQSXWMspO2rAuZimthPTHbZQ1jLMiGepfBHn/pUEqVUAsaZvfhOq8vhiy8XY8fnNQueSCmuPio3IrmYuN/h0COvOGK9jKZmpFAiJYdOvXZX9caaPiZyVy92GMcKDq5E//8nH/PjzFzx98107PRezQ1ly4Wq3I4hwrMU2YArGSamVTU02UKEWqgoLyovJypXjdiZXMSM6hURkNwx88IMf8ODzz7l69JDY9UhMHO+u+fzDn/PTjz7h/Y8/48HjB0yzsc2HoW8Xy8uN6iDwqY0eQqQTYVmKs3uru0HGE4CqltEQBalmS1LF3BOC2qZq5Mj2gJi5W1PJ+8kdKikZAF9LJVahq+pe2JBqR66Bku365dYpK0ofhIXI3Vz58SfX/PhT90MSIw2a3AGfa6eeZdtDYe16rJyKiSEltGYbDOp7IEpyTKeunk+xFTlijO0gZvvbOapeKYYRRVldmsUxoeoEy1MHU7g7znz6/AZ1XKxPkUeXG954ekXuhKwZ0WIj5ZV1eo6iaynlhcoXnwVtOJarItpnP0tGpN1LLEUVB8+DByULtoJE63gFadQD71N6Jr0G4nq6r4Tqlj4n/tpazmlTzOqaxNjnMeAxpUDEoIbg2KVKy/jDWp6dLIPPPpRaoBTCSonA/6+VeCFEK3Gr4bEt28evRxDcSNFcHr7M+goCY8MZWptYgqnBK5WLMfHaw0s+vX5udHc/UVTrqfwTIUVIwaaMHN07qBC4nZVOZ25vj1zsemObO87y4vqWR2HLxeXIOEaevfaQ441SQ6IWO53ujkcutjtSEHLNhh1Uy0BSjHRdZKyFWhPWocqIVmaFfYbpJrOfK7maE8MyzTx79IAhdly/fEk/GPZRVdnvj3x2e8vPrm8IlzuWYg+o2Wl0pwvmD17xrgt+ikWXrldhpQeI6xTtyzKiRlqU0LpkunZeLJqpYRfaG1PajypPSuwEDYqq6yBjJWalr0oJQk5qJVup5LiQogerUm3IhbO7+w6GPvlDaA9RVaVzLCapgcr4QyYhkEKkT+YaYfMJhP1cKLkYXwvXejXMQwAsK0niNspEN2gzVYJ6VhXFvixJ8YNTdKVXGpITuAyRcejI1TpfKRqA3sXIslQfqR5Wj7Jcq2s6PSNpna2z+NS6YQ36aPhSEF1xIvt7+//qB09wjMoPq5BIwZ4HDeuPsqDggRsU0diyAQs0Ys0U8VKtyX2Ma+WkArXurQ24tcAjvmlKwYKU46ERd7JoZux68phayZ/agqOB4XaZxV9jEUg8+Bi+ZcRawUbQSes0Uj1Ae2lelb7/cuHnK2RSbUOdEfIwfo5G5fUnl/zwZ88p+KABu8Vrams3O5IEtj1MGeZcyCFxd6xcpI4hRu72mcPxht2Q2B8z49jb4MxjpvSJz64ndhdPraQROB73DIO7dRZlzotp4CiECF0niAykYDT9JIEuLPRLZpoLU6jUKjyfKsvLiX2u7OfC5zcHtkPP0CWGzlqoUy68PEwcBNLFFo2ukfKtraou9GxscdMvNMdIBBY1IWxwbK6doKFWNIYTqbAWv+4OyLafi83qM2NLI5uE9lCJn4Clncenk6oSzDcKaGZvFsSFXIU+KjUUpiUTlsIilZmZEAJjN0DEwWFs14qR+OzR0/XnNm3Z2DWCqnoDQ1lEkNBa3bIC7tXff+MjNbtf22tWDsd2HTx7aCWKSnOXN7pKA7VTEKLjRilGuhBXCsC0ZLroDzSnDqOZ98nZNW8B1YdaOTYoISHBgolWC0rRM9y1lMLY5yhrYA3OQg8NNBYzF1xbYH4IKRYsghoeapWYd2PbqY+sRFtqNQwNRdUcS3FFglJZWIjRaeuIS21awLV91LSALUNV8MxMTzIY5MxQ1X5fKaYpPOVbHtyr8RuRRs9o79uCVyfq2N0vX1/emTOeufoBzQLNNkvl2dNHjONH3PrggrP35AHX/pacrbvpA/vFxkvPOZNzpBtHhtgjkgkUSsnc3t7SxR25Dvzox++jwxWxM5Lk3f6Orks+p85KjfbeNFipEILQd5ElFacFJGJnQapLCylnlmyjmPYFPriZeblfuIgzfRI2fcfonj5ZlTRGrh5fkVKykuCsJd0CVMmZ1p5v2JM1CxwAVbVA45KHKLKm2dU3dmhYCY0I6X8ObvxWLSOVYFmalSrrFvED7+R4gLr1SGBlngfHLYLVLaZ/U3U+W3YukM3D02jpfGwPgP/8c3c7O1Htmicvb4S6kvZiiEi0x041ODs+UPw07oIbpEgwjyYJFD0No41qJMlgUx98/p9/3vZUnS3jJBp4XNTb+sEUBEIx7bo08qLVLC1ERawTGYMSNbh41w7GGC2YlvUZEEIj3oqsWV6MaQXhoweCGI34uw50CA1nauW737vqrfpaoDbSafBg4c9Uc0I4X+LlKO2Z0DVIVPfPsmfZM0m/3+A6P8+Uq8+qi75nqDZ5SDmVmapKStBqOssEXdaEie/97PSU1BsKqE8S+nLaPdFfdLK6X/frft2vr9H6cvnW/bpf9+t+/f+07oPU/bpf9+trve6D1P26X/fra73ug9T9ul/362u97oPU/bpf9+trve6D1P26X/fra73ug9T9ul/362u97oPU/bpf9+trve6D1P26X/fra73+K2oJgDkV+SsVAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Prepare the input\n",
        "full_prompt = f\"USER: <image>\\n{prompt} ASSISTANT:\"\n",
        "inputs = processor(text=full_prompt, images=image, return_tensors=\"pt\").to(\"cuda\")\n",
        "\n",
        "# Generate the response\n",
        "generate_ids = model.generate(**inputs, max_new_tokens=100)\n",
        "response = processor.batch_decode(generate_ids, skip_special_tokens=True)[0].split(\"ASSISTANT:\")[1]"
      ],
      "metadata": {
        "id": "5yPgOVUFlGp6"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**The response has detailed description along with understanding of complementary fashion products that go with it.**"
      ],
      "metadata": {
        "id": "VAZsaihppPVi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(response)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sfn3XNL_lZur",
        "outputId": "fa90ddac-4474-4661-e15c-f891bdd0a595"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " The image features a man wearing a black shirt with red and white accents. The shirt has a plaid pattern, giving it a casual and stylish appearance. The fabric of the shirt appears to be of good quality, and the stitching is neat and well-executed. The shirt has a collar, which adds to its formal and polished look. The man is also wearing a brown belt, which complements the shirt and adds\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "TU9ccmntldWK"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}