diff --git "a/VQA_FineTuning_Fashion_Datasets.ipynb" "b/VQA_FineTuning_Fashion_Datasets.ipynb" --- "a/VQA_FineTuning_Fashion_Datasets.ipynb" +++ "b/VQA_FineTuning_Fashion_Datasets.ipynb" @@ -29,53 +29,49 @@ }, { "cell_type": "code", - "source": [ - "from huggingface_hub import notebook_login\n", - "notebook_login()" - ], + "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 145, "referenced_widgets": [ - "fd2d3aac84e747ef9fea550ec9a7386d", - "f46eec389a6e465d9da7fe9645c163da", - "4710c57f77414948a8edffa923180ace", - "58454cbb731748bfaee3db0c9d5cf5ba", - "d2217d70e0de4cffb85cf30a0ece1e20", - "27a2a696724240e48db9158c814987e2", - "14e6340f96a24a83940a9ca94f91761d", - "340c0254c799476bb777f06c13e0c476", - "370ca959de5a4feebb621526c9b76930", - "924ac284fa5a464aab90941d2de37d1d", - "dd7aa4800af947db98784af70affa906", - "2eae6964b0514deb8a986032cfa703a0", - "34e88b7e493e4d698756bece63d043a3", - "a51bf2e26c734146ae8fba179d2aa4aa", - "6272895bedcc4dab9594b030145a6e9d", - "585b25543d6d4971a19e5644b05d89dc", - "e648bf12632a4c078068d55134187b46", - "76f74f8572f84c3188ce30f1b9f308c5", - "b1c6914c9cff47e9908188a1744f7242", - "02ed82d4297d438f97b8d7481f519eee", - "076f54dc01d944dcb4b17420752870af", - "f866447196b749f884b03e648db8eded", - "696e1a134d374285817e46f42e03504d", - "4a13efd8cad04bfc971a48075fc9851e", - "a4e6776e1057449a8e525a499f88c784", - "77388a40adf04e0aa74542142c37c86b", - "e9f36b0a9578425b91af01e16b34fcf1", - "b07e98e4cc344be193a2da7e04f72bec", - "00245c5c3d9243b187b4e701e7557c5b", - "27a2b90344e54755a7cad4968ca8f350", - "8956f48644fc410c8707a6aef3dc3a86", - "318e896402ba44e0b73f45aa2d869592" + "ab1e8d815e3f4ce0838764c7870eeb9a", + "135fb2a501d44a77a0ceded984ad39ce", + "e2b19401b1fd46c69541b6c2bbd0bbcd", + "6694244d56134bda9b11666bfc928fc1", + "6e691c4e6e3e49d1a6c9a77ad5618fd5", + "738872e9e7bd425a97a95febadf988f9", + "9d39d78aafea4ac1a40f484936ef5442", + "cdaab7162ca04b6d9ea084b564ebbfd8", + "31caa37206c74e67b01efb1fc03cb863", + "86cfa8b228c640cc84dbe4f3bbc24494", + "ee5f2e50b9e04daa90f7fd300ff8ec39", + "a291663e372a4b82b54844f87ceace4e", + "a55afb5ec44c46f1b3a1a8a25d899b1f", + "5198876efbc141d59c7be7a12586e9ff", + "c81130626e36433ebf932fe5d3154e94", + "ecd17ce3f7484e6dbb1e24f1fc1cf67e", + "854da05b2fa54695883283706cb644f8", + "b80c3944cd3e46829f44ffe7f4d58588", + "dad259549eea44ecbe7369c37f1a7031", + "feb30497556b425990e25230c348ad18", + "8d6e1593642a4d52b87efa7f91d30f87", + "0d1f5d4830924c6b89f8f3053db8f741", + "03bd1864f2424b7d87af47f860a326ea", + "e213cbf8d23642e78ccb1a0a3b5a972b", + "e424eeacab2b4ac594fd93f4781304f3", + "c1012aa127db4120b67982a778b3a578", + "12dabf43176d446cad9600b8b7ee57d3", + "ed06a4f455804f07b8f6e0a555b8c870", + "e12cd4d4b0b04bc3953ed64be79eea64", + "742c9092a9bd41ddae7a1a3731f16326", + "dd7184de04584c3b957c27ab28cb1fba", + "fe4069dfddda4855aeed2eda68c7bdbc" ] }, "id": "IF2wU1arJRPk", - "outputId": "a507c47f-46d9-40eb-87c2-fe4a95b789f1" + "outputId": "9114ac28-6163-40e0-93e6-99edd2dd2031" }, - "execution_count": 1, "outputs": [ { "output_type": "display_data", @@ -86,22 +82,26 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "fd2d3aac84e747ef9fea550ec9a7386d" + "model_id": "ab1e8d815e3f4ce0838764c7870eeb9a" } }, "metadata": {} } + ], + "source": [ + "from huggingface_hub import notebook_login\n", + "notebook_login()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "n4UvOghEh7IZ", - "outputId": "49734576-beed-4d19-e837-b445fba4861c" + "outputId": "2db72ba8-d0b8-47ff-800c-5747830b8cac" }, "outputs": [ { @@ -111,7 +111,7 @@ "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.35.2)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.13.1)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.20.3)\n", - "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.23.5)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.12.25)\n", @@ -125,18 +125,26 @@ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.6)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.2.2)\n", - "Requirement already satisfied: datasets in /usr/local/lib/python3.10/dist-packages (2.17.0)\n", - "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets) (3.13.1)\n", - "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) (1.23.5)\n", - "Requirement already satisfied: pyarrow>=12.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (15.0.0)\n", - "Requirement already satisfied: pyarrow-hotfix in /usr/local/lib/python3.10/dist-packages (from datasets) (0.6)\n", - "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (0.3.8)\n", - "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets) (1.5.3)\n", + "Collecting datasets\n", + " Downloading datasets-2.17.0-py3-none-any.whl (536 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m536.6/536.6 kB\u001b[0m \u001b[31m3.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets) (3.13.1)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) (1.25.2)\n", + "Collecting pyarrow>=12.0.0 (from datasets)\n", + " Downloading pyarrow-15.0.0-cp310-cp310-manylinux_2_28_x86_64.whl (38.3 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m38.3/38.3 MB\u001b[0m \u001b[31m33.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: pyarrow-hotfix in /usr/local/lib/python3.10/dist-packages (from datasets) (0.6)\n", + "Collecting dill<0.3.9,>=0.3.0 (from datasets)\n", + " Downloading dill-0.3.8-py3-none-any.whl (116 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m17.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets) (1.5.3)\n", "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (2.31.0)\n", "Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.10/dist-packages (from datasets) (4.66.1)\n", "Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from datasets) (3.4.1)\n", - "Requirement already satisfied: multiprocess in /usr/local/lib/python3.10/dist-packages (from datasets) (0.70.16)\n", - "Requirement already satisfied: fsspec[http]<=2023.10.0,>=2023.1.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (2023.6.0)\n", + "Collecting multiprocess (from datasets)\n", + " Downloading multiprocess-0.70.16-py310-none-any.whl (134 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m23.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: fsspec[http]<=2023.10.0,>=2023.1.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (2023.6.0)\n", "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets) (3.9.3)\n", "Requirement already satisfied: huggingface-hub>=0.19.4 in /usr/local/lib/python3.10/dist-packages (from datasets) (0.20.3)\n", "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets) (23.2)\n", @@ -154,7 +162,246 @@ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets) (2024.2.2)\n", "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2023.4)\n", - "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n" + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n", + "Installing collected packages: pyarrow, dill, multiprocess, datasets\n", + " Attempting uninstall: pyarrow\n", + " Found existing installation: pyarrow 10.0.1\n", + " Uninstalling pyarrow-10.0.1:\n", + " Successfully uninstalled pyarrow-10.0.1\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "ibis-framework 7.1.0 requires pyarrow<15,>=2, but you have pyarrow 15.0.0 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed datasets-2.17.0 dill-0.3.8 multiprocess-0.70.16 pyarrow-15.0.0\n", + "Requirement already satisfied: transformers[torch] in /usr/local/lib/python3.10/dist-packages (4.35.2)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (3.13.1)\n", + "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (0.20.3)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (1.25.2)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (23.2)\n", + "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (6.0.1)\n", + "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (2023.12.25)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (2.31.0)\n", + "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (0.15.1)\n", + "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (0.4.2)\n", + "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (4.66.1)\n", + "Requirement already satisfied: torch!=1.12.0,>=1.10 in /usr/local/lib/python3.10/dist-packages (from transformers[torch]) (2.1.0+cu121)\n", + "Collecting accelerate>=0.20.3 (from transformers[torch])\n", + " Downloading accelerate-0.27.2-py3-none-any.whl (279 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m280.0/280.0 kB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate>=0.20.3->transformers[torch]) (5.9.5)\n", + "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers[torch]) (2023.6.0)\n", + "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers[torch]) (4.9.0)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch!=1.12.0,>=1.10->transformers[torch]) (1.12)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch!=1.12.0,>=1.10->transformers[torch]) (3.2.1)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch!=1.12.0,>=1.10->transformers[torch]) (3.1.3)\n", + "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch!=1.12.0,>=1.10->transformers[torch]) (2.1.0)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[torch]) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[torch]) (3.6)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[torch]) (2.0.7)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[torch]) (2024.2.2)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch!=1.12.0,>=1.10->transformers[torch]) (2.1.5)\n", + "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch!=1.12.0,>=1.10->transformers[torch]) (1.3.0)\n", + "Installing collected packages: accelerate\n", + "Successfully installed accelerate-0.27.2\n", + "Requirement already satisfied: transformers[tf-cpu] in /usr/local/lib/python3.10/dist-packages (4.35.2)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (3.13.1)\n", + "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (0.20.3)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (1.25.2)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (23.2)\n", + "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (6.0.1)\n", + "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (2023.12.25)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (2.31.0)\n", + "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (0.15.1)\n", + "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (0.4.2)\n", + "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers[tf-cpu]) (4.66.1)\n", + "Collecting tensorflow-cpu<2.15,>=2.6 (from transformers[tf-cpu])\n", + " Downloading tensorflow_cpu-2.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (198.2 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m198.2/198.2 MB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting onnxconverter-common (from transformers[tf-cpu])\n", + " Downloading onnxconverter_common-1.14.0-py2.py3-none-any.whl (84 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.5/84.5 kB\u001b[0m \u001b[31m12.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting tf2onnx (from transformers[tf-cpu])\n", + " Downloading tf2onnx-1.16.1-py3-none-any.whl (455 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m455.8/455.8 kB\u001b[0m \u001b[31m45.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting tensorflow-text<2.15 (from transformers[tf-cpu])\n", + " Downloading tensorflow_text-2.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.5 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.5/6.5 MB\u001b[0m \u001b[31m58.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting keras-nlp>=0.3.1 (from transformers[tf-cpu])\n", + " Downloading keras_nlp-0.7.0-py3-none-any.whl (415 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m415.4/415.4 kB\u001b[0m \u001b[31m48.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers[tf-cpu]) (2023.6.0)\n", + "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers[tf-cpu]) (4.9.0)\n", + "Collecting keras-core (from keras-nlp>=0.3.1->transformers[tf-cpu])\n", + " Downloading keras_core-0.1.7-py3-none-any.whl (950 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m950.8/950.8 kB\u001b[0m \u001b[31m78.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: absl-py in /usr/local/lib/python3.10/dist-packages (from keras-nlp>=0.3.1->transformers[tf-cpu]) (1.4.0)\n", + "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from keras-nlp>=0.3.1->transformers[tf-cpu]) (13.7.0)\n", + "Requirement already satisfied: dm-tree in /usr/local/lib/python3.10/dist-packages (from keras-nlp>=0.3.1->transformers[tf-cpu]) (0.1.8)\n", + "Requirement already satisfied: kagglehub in /usr/local/lib/python3.10/dist-packages (from keras-nlp>=0.3.1->transformers[tf-cpu]) (0.1.9)\n", + "Requirement already satisfied: astunparse>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (1.6.3)\n", + "Requirement already satisfied: flatbuffers>=23.5.26 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (23.5.26)\n", + "Requirement already satisfied: gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (0.5.4)\n", + "Requirement already satisfied: google-pasta>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (0.2.0)\n", + "Requirement already satisfied: h5py>=2.9.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (3.9.0)\n", + "Requirement already satisfied: libclang>=13.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (16.0.6)\n", + "Requirement already satisfied: ml-dtypes==0.2.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (0.2.0)\n", + "Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (3.3.0)\n", + "Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (3.20.3)\n", + "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (67.7.2)\n", + "Requirement already satisfied: six>=1.12.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (1.16.0)\n", + "Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (2.4.0)\n", + "Requirement already satisfied: wrapt<1.15,>=1.11.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (1.14.1)\n", + "Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (0.36.0)\n", + "Requirement already satisfied: grpcio<2.0,>=1.24.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (1.60.1)\n", + "Collecting tensorboard<2.15,>=2.14 (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu])\n", + " Downloading tensorboard-2.14.1-py3-none-any.whl (5.5 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.5/5.5 MB\u001b[0m \u001b[31m51.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting tensorflow-estimator<2.15,>=2.14.0 (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu])\n", + " Downloading tensorflow_estimator-2.14.0-py2.py3-none-any.whl (440 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m440.7/440.7 kB\u001b[0m \u001b[31m50.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting keras<2.15,>=2.14.0 (from tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu])\n", + " Downloading keras-2.14.0-py3-none-any.whl (1.7 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m86.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: tensorflow-hub>=0.13.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-text<2.15->transformers[tf-cpu]) (0.16.1)\n", + "Collecting tensorflow<2.15,>=2.14.0 (from tensorflow-text<2.15->transformers[tf-cpu])\n", + " Downloading tensorflow-2.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (489.9 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m489.9/489.9 MB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting onnx (from onnxconverter-common->transformers[tf-cpu])\n", + " Downloading onnx-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.7 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.7/15.7 MB\u001b[0m \u001b[31m50.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hINFO: pip is looking at multiple versions of onnxconverter-common to determine which version is compatible with other requirements. This could take a while.\n", + "Collecting onnxconverter-common (from transformers[tf-cpu])\n", + " Downloading onnxconverter_common-1.13.0-py2.py3-none-any.whl (83 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m83.8/83.8 kB\u001b[0m \u001b[31m11.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[tf-cpu]) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[tf-cpu]) (3.6)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[tf-cpu]) (2.0.7)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[tf-cpu]) (2024.2.2)\n", + "Requirement already satisfied: wheel<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from astunparse>=1.6.0->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (0.42.0)\n", + "Requirement already satisfied: google-auth<3,>=1.6.3 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (2.27.0)\n", + "Collecting google-auth-oauthlib<1.1,>=0.5 (from tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu])\n", + " Downloading google_auth_oauthlib-1.0.0-py2.py3-none-any.whl (18 kB)\n", + "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (3.5.2)\n", + "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (0.7.2)\n", + "Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (3.0.1)\n", + "Requirement already satisfied: tf-keras>=2.14.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow-hub>=0.13.0->tensorflow-text<2.15->transformers[tf-cpu]) (2.15.0)\n", + "Collecting namex (from keras-core->keras-nlp>=0.3.1->transformers[tf-cpu])\n", + " Downloading namex-0.0.7-py3-none-any.whl (5.8 kB)\n", + "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras-nlp>=0.3.1->transformers[tf-cpu]) (3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras-nlp>=0.3.1->transformers[tf-cpu]) (2.16.1)\n", + "Requirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (5.3.2)\n", + "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (0.3.0)\n", + "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (4.9)\n", + "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from google-auth-oauthlib<1.1,>=0.5->tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (1.3.1)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->keras-nlp>=0.3.1->transformers[tf-cpu]) (0.1.2)\n", + "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from werkzeug>=1.0.1->tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (2.1.5)\n", + "Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (0.5.1)\n", + "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.15,>=2.14->tensorflow-cpu<2.15,>=2.6->transformers[tf-cpu]) (3.2.2)\n", + "Installing collected packages: namex, tensorflow-estimator, onnx, keras, tf2onnx, onnxconverter-common, keras-core, google-auth-oauthlib, tensorboard, tensorflow-cpu, tensorflow, tensorflow-text, keras-nlp\n", + " Attempting uninstall: tensorflow-estimator\n", + " Found existing installation: tensorflow-estimator 2.15.0\n", + " Uninstalling tensorflow-estimator-2.15.0:\n", + " Successfully uninstalled tensorflow-estimator-2.15.0\n", + " Attempting uninstall: keras\n", + " Found existing installation: keras 2.15.0\n", + " Uninstalling keras-2.15.0:\n", + " Successfully uninstalled keras-2.15.0\n", + " Attempting uninstall: google-auth-oauthlib\n", + " Found existing installation: google-auth-oauthlib 1.2.0\n", + " Uninstalling google-auth-oauthlib-1.2.0:\n", + " Successfully uninstalled google-auth-oauthlib-1.2.0\n", + " Attempting uninstall: tensorboard\n", + " Found existing installation: tensorboard 2.15.2\n", + " Uninstalling tensorboard-2.15.2:\n", + " Successfully uninstalled tensorboard-2.15.2\n", + " Attempting uninstall: tensorflow\n", + " Found existing installation: tensorflow 2.15.0\n", + " Uninstalling tensorflow-2.15.0:\n", + " Successfully uninstalled tensorflow-2.15.0\n", + "Successfully installed google-auth-oauthlib-1.0.0 keras-2.14.0 keras-core-0.1.7 keras-nlp-0.7.0 namex-0.0.7 onnx-1.15.0 onnxconverter-common-1.13.0 tensorboard-2.14.1 tensorflow-2.14.1 tensorflow-cpu-2.14.1 tensorflow-estimator-2.14.0 tensorflow-text-2.14.0 tf2onnx-1.16.1\n", + "Requirement already satisfied: transformers[flax] in /usr/local/lib/python3.10/dist-packages (4.35.2)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (3.13.1)\n", + "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (0.20.3)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (1.25.2)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (23.2)\n", + "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (6.0.1)\n", + "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (2023.12.25)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (2.31.0)\n", + "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (0.15.1)\n", + "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (0.4.2)\n", + "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers[flax]) (4.66.1)\n", + "Collecting jax<=0.4.13,>=0.4.1 (from transformers[flax])\n", + " Downloading jax-0.4.13.tar.gz (1.3 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", + " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", + " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + "Collecting jaxlib<=0.4.13,>=0.4.1 (from transformers[flax])\n", + " Downloading jaxlib-0.4.13-cp310-cp310-manylinux2014_x86_64.whl (71.6 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.6/71.6 MB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting flax<=0.7.0,>=0.4.1 (from transformers[flax])\n", + " Downloading flax-0.7.0-py3-none-any.whl (225 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m225.9/225.9 kB\u001b[0m \u001b[31m27.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hCollecting optax<=0.1.4,>=0.0.8 (from transformers[flax])\n", + " Downloading optax-0.1.4-py3-none-any.whl (154 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m154.9/154.9 kB\u001b[0m \u001b[31m21.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: msgpack in /usr/local/lib/python3.10/dist-packages (from flax<=0.7.0,>=0.4.1->transformers[flax]) (1.0.7)\n", + "Requirement already satisfied: orbax-checkpoint in /usr/local/lib/python3.10/dist-packages (from flax<=0.7.0,>=0.4.1->transformers[flax]) (0.4.4)\n", + "Requirement already satisfied: tensorstore in /usr/local/lib/python3.10/dist-packages (from flax<=0.7.0,>=0.4.1->transformers[flax]) (0.1.45)\n", + "Requirement already satisfied: rich>=11.1 in /usr/local/lib/python3.10/dist-packages (from flax<=0.7.0,>=0.4.1->transformers[flax]) (13.7.0)\n", + "Requirement already satisfied: typing-extensions>=4.1.1 in /usr/local/lib/python3.10/dist-packages (from flax<=0.7.0,>=0.4.1->transformers[flax]) (4.9.0)\n", + "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers[flax]) (2023.6.0)\n", + "Requirement already satisfied: ml-dtypes>=0.1.0 in /usr/local/lib/python3.10/dist-packages (from jax<=0.4.13,>=0.4.1->transformers[flax]) (0.2.0)\n", + "Requirement already satisfied: opt-einsum in /usr/local/lib/python3.10/dist-packages (from jax<=0.4.13,>=0.4.1->transformers[flax]) (3.3.0)\n", + "Requirement already satisfied: scipy>=1.7 in /usr/local/lib/python3.10/dist-packages (from jax<=0.4.13,>=0.4.1->transformers[flax]) (1.11.4)\n", + "Requirement already satisfied: absl-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from optax<=0.1.4,>=0.0.8->transformers[flax]) (1.4.0)\n", + "Requirement already satisfied: chex>=0.1.5 in /usr/local/lib/python3.10/dist-packages (from optax<=0.1.4,>=0.0.8->transformers[flax]) (0.1.85)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[flax]) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[flax]) (3.6)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[flax]) (2.0.7)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers[flax]) (2024.2.2)\n", + "INFO: pip is looking at multiple versions of chex to determine which version is compatible with other requirements. This could take a while.\n", + "Collecting chex>=0.1.5 (from optax<=0.1.4,>=0.0.8->transformers[flax])\n", + " Downloading chex-0.1.84-py3-none-any.whl (94 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m94.8/94.8 kB\u001b[0m \u001b[31m13.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h Downloading chex-0.1.83-py3-none-any.whl (94 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m94.7/94.7 kB\u001b[0m \u001b[31m14.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h Downloading chex-0.1.82-py3-none-any.whl (94 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m94.8/94.8 kB\u001b[0m \u001b[31m13.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: toolz>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from chex>=0.1.5->optax<=0.1.4,>=0.0.8->transformers[flax]) (0.12.1)\n", + "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich>=11.1->flax<=0.7.0,>=0.4.1->transformers[flax]) (3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich>=11.1->flax<=0.7.0,>=0.4.1->transformers[flax]) (2.16.1)\n", + "Requirement already satisfied: etils[epath,epy] in /usr/local/lib/python3.10/dist-packages (from orbax-checkpoint->flax<=0.7.0,>=0.4.1->transformers[flax]) (1.6.0)\n", + "Requirement already satisfied: nest_asyncio in /usr/local/lib/python3.10/dist-packages (from orbax-checkpoint->flax<=0.7.0,>=0.4.1->transformers[flax]) (1.6.0)\n", + "Requirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (from orbax-checkpoint->flax<=0.7.0,>=0.4.1->transformers[flax]) (3.20.3)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=11.1->flax<=0.7.0,>=0.4.1->transformers[flax]) (0.1.2)\n", + "Requirement already satisfied: importlib_resources in /usr/local/lib/python3.10/dist-packages (from etils[epath,epy]->orbax-checkpoint->flax<=0.7.0,>=0.4.1->transformers[flax]) (6.1.1)\n", + "Requirement already satisfied: zipp in /usr/local/lib/python3.10/dist-packages (from etils[epath,epy]->orbax-checkpoint->flax<=0.7.0,>=0.4.1->transformers[flax]) (3.17.0)\n", + "Building wheels for collected packages: jax\n", + " Building wheel for jax (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for jax: filename=jax-0.4.13-py3-none-any.whl size=1518703 sha256=fa1f576ad08f099dfbd93b1519ae18f67f2fecf06cc2bf6241df7d8c3ef32831\n", + " Stored in directory: /root/.cache/pip/wheels/f3/7a/25/f297f69029b5e4064e4736a0c4b3996a44cc27781c120bcb99\n", + "Successfully built jax\n", + "Installing collected packages: jaxlib, jax, chex, optax, flax\n", + " Attempting uninstall: jaxlib\n", + " Found existing installation: jaxlib 0.4.23+cuda12.cudnn89\n", + " Uninstalling jaxlib-0.4.23+cuda12.cudnn89:\n", + " Successfully uninstalled jaxlib-0.4.23+cuda12.cudnn89\n", + " Attempting uninstall: jax\n", + " Found existing installation: jax 0.4.23\n", + " Uninstalling jax-0.4.23:\n", + " Successfully uninstalled jax-0.4.23\n", + " Attempting uninstall: chex\n", + " Found existing installation: chex 0.1.85\n", + " Uninstalling chex-0.1.85:\n", + " Successfully uninstalled chex-0.1.85\n", + " Attempting uninstall: optax\n", + " Found existing installation: optax 0.1.9\n", + " Uninstalling optax-0.1.9:\n", + " Successfully uninstalled optax-0.1.9\n", + " Attempting uninstall: flax\n", + " Found existing installation: flax 0.8.1\n", + " Uninstalling flax-0.8.1:\n", + " Successfully uninstalled flax-0.8.1\n", + "Successfully installed chex-0.1.82 flax-0.7.0 jax-0.4.13 jaxlib-0.4.13 optax-0.1.4\n" ] } ], @@ -186,7 +433,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": { "id": "RJDHNaqZkEqY" }, @@ -197,22 +444,206 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": { - "id": "89tsRz5pj2fh" + "colab": { + "base_uri": "https://localhost:8080/", + "height": 338, + "referenced_widgets": [ + "17d95110d5c7428f8c313c35a745ca9f", + "e6f852ac50dd4447b76a8a77597f52a2", + "d3a0f3988b044955b2bec42ae4a1cea9", + "0c723610bbc54a90b9860a986195b0e2", + "4e1387f410bf44cd89862802fcfcef09", + "910d827f2a17461682a65fbd554cdce9", + "7554bbd531254725b161a998a2808fc6", + "d626939b68d44f4c9227a064ee1c816f", + "ee9e878c573f4e83b2cb3bbf510be339", + "671fc943a3844918862529de94f3449f", + "2f27f8d2e9574c31a18337bebe7c46f9", + "4346adbc353249e1b8e5ffd6034a2466", + "62e97f8016e24d17898f136cb15a8e9e", + "78c0b955836f474eb4089111f8ce4943", + "73249c5a5c8140b8a37cd53aecdb85b8", + "ffc9130162c2450f8d2d51a7027a853f", + "5ec533b773e8485aa65d1cdf8f15af66", + "7b3db0fb96db45459f24dff6537ae720", + "c836e6b6d4c5442abded99869032c695", + "30f1e4baa51945bdb4ed416d45992fc0", + "a377e4d884354b00bb93cc86445e53f5", + "8c48da0118b848408d6bdc4b83c52ef1", + "b5f72732280144398e51c026e72167b9", + "676ed342e28e46a6b8aeb608122a0864", + "2978be0b4f5a4dbca1e3ff8bb5acc7f4", + "aefa8441829541a0bca53c02575c4063", + "ad347f4561e84591b7354cd7652ae977", + "db8c90ac040c4168b724b17d0a47e090", + "6c8f9673ee854452bee540ac2d6f3d70", + "0e86f283d03049cf83b2cce73ccdd445", + "e9f2335fc3b64158bec2340f6db5ba71", + "4c7fc5389edb4ca6ad45cd74f0d69a9d", + "238e1583f11d45f1ad8e887ad74592e8", + "cebcf824243e41f89b08b9ca7f9a9b80", + "775428ff979a407ca5b7e531c4f76e4b", + "ab171201072047a9a51e9614290c632d", + "6fd75e649ab349ea81bcd06ae19b498c", + "3d31100e28814a85a0064e47d71f46b5", + "4f798d2011aa48bbbd8baea66a0a7324", + "ca7bee801f98418b8fd9a341c86ec827", + "2ddec9b673dd491b8caa7771572b0aa5", + "06cb1f3c43194432a67fe7a776ea61e5", + "831f472d84074c3aaae5795200f2a6fd", + "780d592892be42a98e8fac8969b10e50", + "f9246527c5a944cfac9c24dc49ffcdce", + "4fcc69428b744da1ad65ac4b8d9b9fa6", + "ba91827192e248bd960a95df351b4c8b", + "845ef2d168534ad696706a86f5517909", + "e639959f2e17449a80781a02b8e1eeb2", + "890b037344aa43ff9c19794c4933e8e8", + "4b9339904a484a41804a995331c5b557", + "f2d8a34f259c481e901c23b2e26d8208", + "b7ac55efff1642f6a62931f8d4f1cb59", + "078bbca5ce0b455bb35ab586c03fc9aa", + "84fb6c2d4c0249f88dac46bbf4406e37", + "44b26a7621184018a7c6e0d414da6781", + "28432286efc04ad983dcaf721620f5e5", + "985b6b67a656414399942217f68a79e9", + "a794ed68c2cb481288fd347631a04235", + "4c0151ae67a94f34b3838e52cd330a37", + "67d76aadcc944d509ad7ca387d883703", + "036dc3e962404841ac9bcbbf4aa482d9", + "aa892319011f41c998941d28da8cfa5c", + "456e97e829304493b108d808a944610f", + "fc55477218e641ef80f5b4f249930b14", + "8e30e69522e047f8a262e9fe18a882df" + ] + }, + "id": "89tsRz5pj2fh", + "outputId": "ec5367fd-df8f-4415-e50e-a4dbe8eaf5fe" }, - "outputs": [], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: 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" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading readme: 0%| | 0.00/836 [00:00, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ], 'gender': ['WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'MEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN', 'WOMEN'], 'pose': ['06_1_front', '02_4_full', '11_3_back', '01_7_additional', '02_7_additional', '04_7_additional', '01_3_back', '34_1_front', '05_1_front', '04_3_back', '06_1_front', '03_2_side', '04_4_full', '01_3_back', '03_3_back', '02_1_front', '02_7_additional', '01_1_front', '05_1_front', '06_1_front', '04_3_back', '01_1_front', '04_7_additional', '02_3_back', '06_7_additional', '01_1_front', '01_7_additional', '08_7_additional', '01_1_front', '03_2_side', '02_7_additional', '02_7_additional', '02_7_additional', '02_4_full', '01_3_back', '06_4_full', '02_3_back', '40_4_full', '06_2_side', '03_2_side', '03_7_additional', '02_4_full', '02_2_side', '07_7_additional', '02_7_additional', '01_2_side', '28_1_front', '02_1_front', '06_1_front', '01_7_additional', '01_1_front', '01_3_back', '02_1_front', '06_3_back', '03_7_additional', '03_3_back', '02_4_full', '07_2_side', '02_3_back', '05_3_back', '07_1_front', '02_1_front', '03_3_back', '02_7_additional', '01_4_full', '02_7_additional', '02_1_front', '02_1_front', '06_1_front', '04_4_full', '03_4_full', '01_1_front', '01_1_front', '07_1_front', '06_4_full', '04_2_side', '01_7_additional', '01_4_full', '01_4_full', '03_3_back', '01_3_back', '04_2_side', '03_4_full', '04_2_side', '03_4_full', '04_3_back', '01_1_front', '02_2_side', '03_3_back', '03_7_additional', '02_4_full', '02_1_front', '02_1_front', '12_1_front', '02_1_front', '02_2_side', '04_1_front', '02_1_front', '06_4_full', '01_1_front', '01_1_front', '06_1_front', '02_1_front', '03_4_full', '01_1_front', '04_4_full', '01_7_additional', '02_1_front', '03_3_back', '02_7_additional', '01_7_additional', '01_4_full', '01_2_side', '02_3_back', '02_2_side', '01_2_side', '03_2_side', '04_4_full', '01_1_front', '01_1_front', '25_3_back', '04_2_side', '02_4_full', '64_1_front', '03_1_front', '02_2_side', '04_3_back', '02_7_additional', '01_4_full', '02_7_additional', '22_3_back', '11_7_additional', '02_7_additional', '01_3_back', '04_1_front', '05_4_full', '01_3_back', '05_3_back', '02_2_side', '03_3_back', '02_2_side', '48_7_additional', '04_1_front', '01_1_front', '17_4_full', '06_7_additional', '40_1_front', '07_2_side', '03_3_back', '03_1_front', '01_3_back', '01_7_additional', '05_7_additional', '02_3_back', '02_1_front', '03_1_front', '03_1_front', '01_3_back', '04_3_back', '01_1_front', '04_3_back', '03_4_full', '02_3_back', '01_2_side', '02_3_back', '03_3_back', '01_3_back', '02_4_full', '04_7_additional', '01_3_back', '07_7_additional', '04_2_side', '06_4_full', '02_2_side', '02_1_front', '03_3_back', '08_4_full', '14_7_additional', '03_1_front', '01_1_front', '02_3_back', '02_1_front', '08_4_full', '01_1_front', '05_4_full', '01_1_front', '05_7_additional', '01_3_back', '02_2_side', '05_2_side', '02_4_full', '01_7_additional', '07_7_additional', '04_7_additional', '02_4_full', '02_7_additional', '03_3_back', '01_3_back', '01_4_full', '02_1_front'], 'cloth_type': ['Shorts', 'Dresses', 'Tees_Tanks', 'Dresses', 'Sweaters', 'Shorts', 'Sweatshirts_Hoodies', 'Tees_Tanks', 'Tees_Tanks', 'Dresses', 'Jackets_Coats', 'Rompers_Jumpsuits', 'Blouses_Shirts', 'Tees_Tanks', 'Tees_Tanks', 'Rompers_Jumpsuits', 'Blouses_Shirts', 'Tees_Tanks', 'Dresses', 'Dresses', 'Jackets_Coats', 'Blouses_Shirts', 'Sweaters', 'Blouses_Shirts', 'Cardigans', 'Tees_Tanks', 'Jackets_Coats', 'Shirts_Polos', 'Skirts', 'Blouses_Shirts', 'Jackets_Coats', 'Dresses', 'Dresses', 'Jackets_Coats', 'Blouses_Shirts', 'Shorts', 'Blouses_Shirts', 'Tees_Tanks', 'Tees_Tanks', 'Cardigans', 'Tees_Tanks', 'Sweaters', 'Blouses_Shirts', 'Tees_Tanks', 'Blouses_Shirts', 'Graphic_Tees', 'Tees_Tanks', 'Tees_Tanks', 'Dresses', 'Dresses', 'Jackets_Coats', 'Tees_Tanks', 'Blouses_Shirts', 'Tees_Tanks', 'Rompers_Jumpsuits', 'Blouses_Shirts', 'Dresses', 'Tees_Tanks', 'Dresses', 'Sweaters', 'Pants', 'Blouses_Shirts', 'Sweaters', 'Dresses', 'Tees_Tanks', 'Skirts', 'Rompers_Jumpsuits', 'Dresses', 'Tees_Tanks', 'Sweatshirts_Hoodies', 'Blouses_Shirts', 'Dresses', 'Graphic_Tees', 'Rompers_Jumpsuits', 'Tees_Tanks', 'Rompers_Jumpsuits', 'Tees_Tanks', 'Sweaters', 'Graphic_Tees', 'Dresses', 'Rompers_Jumpsuits', 'Dresses', 'Tees_Tanks', 'Tees_Tanks', 'Tees_Tanks', 'Cardigans', 'Tees_Tanks', 'Blouses_Shirts', 'Dresses', 'Tees_Tanks', 'Pants', 'Tees_Tanks', 'Dresses', 'Dresses', 'Dresses', 'Blouses_Shirts', 'Blouses_Shirts', 'Blouses_Shirts', 'Blouses_Shirts', 'Blouses_Shirts', 'Sweatshirts_Hoodies', 'Blouses_Shirts', 'Tees_Tanks', 'Dresses', 'Shorts', 'Sweaters', 'Blouses_Shirts', 'Blouses_Shirts', 'Cardigans', 'Blouses_Shirts', 'Tees_Tanks', 'Blouses_Shirts', 'Graphic_Tees', 'Jackets_Vests', 'Tees_Tanks', 'Tees_Tanks', 'Tees_Tanks', 'Blouses_Shirts', 'Tees_Tanks', 'Dresses', 'Tees_Tanks', 'Blouses_Shirts', 'Skirts', 'Tees_Tanks', 'Blouses_Shirts', 'Dresses', 'Dresses', 'Blouses_Shirts', 'Tees_Tanks', 'Dresses', 'Cardigans', 'Shirts_Polos', 'Blouses_Shirts', 'Tees_Tanks', 'Dresses', 'Tees_Tanks', 'Rompers_Jumpsuits', 'Sweatshirts_Hoodies', 'Dresses', 'Blouses_Shirts', 'Blouses_Shirts', 'Cardigans', 'Sweaters', 'Tees_Tanks', 'Shorts', 'Blouses_Shirts', 'Tees_Tanks', 'Tees_Tanks', 'Tees_Tanks', 'Sweaters', 'Graphic_Tees', 'Tees_Tanks', 'Dresses', 'Tees_Tanks', 'Blouses_Shirts', 'Cardigans', 'Dresses', 'Graphic_Tees', 'Sweaters', 'Blouses_Shirts', 'Dresses', 'Tees_Tanks', 'Tees_Tanks', 'Blouses_Shirts', 'Blouses_Shirts', 'Cardigans', 'Blouses_Shirts', 'Rompers_Jumpsuits', 'Blouses_Shirts', 'Sweaters', 'Tees_Tanks', 'Sweaters', 'Dresses', 'Blouses_Shirts', 'Shorts', 'Shirts_Polos', 'Shorts', 'Jackets_Coats', 'Dresses', 'Rompers_Jumpsuits', 'Blouses_Shirts', 'Cardigans', 'Tees_Tanks', 'Sweaters', 'Jackets_Coats', 'Shorts', 'Tees_Tanks', 'Dresses', 'Tees_Tanks', 'Dresses', 'Blouses_Shirts', 'Graphic_Tees', 'Sweaters', 'Sweaters', 'Rompers_Jumpsuits', 'Denim', 'Rompers_Jumpsuits', 'Tees_Tanks', 'Blouses_Shirts', 'Pants'], 'pid': ['id_00006121', 'id_00001997', 'id_00006242', 'id_00007641', 'id_00002842', 'id_00006949', 'id_00000177', 'id_00001774', 'id_00000117', 'id_00007101', 'id_00005710', 'id_00005251', 'id_00001726', 'id_00005596', 'id_00001134', 'id_00004545', 'id_00006615', 'id_00005085', 'id_00002797', 'id_00003332', 'id_00007186', 'id_00004711', 'id_00005010', 'id_00000442', 'id_00006352', 'id_00006240', 'id_00001040', 'id_00005986', 'id_00006896', 'id_00007456', 'id_00002302', 'id_00005861', 'id_00007910', 'id_00000186', 'id_00006213', 'id_00004292', 'id_00006926', 'id_00002201', 'id_00004889', 'id_00002547', 'id_00002855', 'id_00004959', 'id_00002159', 'id_00002885', 'id_00005338', 'id_00001388', 'id_00001384', 'id_00004270', 'id_00002797', 'id_00002400', 'id_00006860', 'id_00003132', 'id_00000259', 'id_00004029', 'id_00006408', 'id_00005146', 'id_00000674', 'id_00006208', 'id_00004339', 'id_00000964', 'id_00005000', 'id_00003779', 'id_00005177', 'id_00007266', 'id_00005770', 'id_00006390', 'id_00004503', 'id_00004199', 'id_00006707', 'id_00007502', 'id_00006668', 'id_00002849', 'id_00001070', 'id_00004725', 'id_00006687', 'id_00003746', 'id_00002303', 'id_00001008', 'id_00001817', 'id_00002549', 'id_00007945', 'id_00004241', 'id_00005633', 'id_00007447', 'id_00002423', 'id_00003644', 'id_00002029', 'id_00002384', 'id_00005130', 'id_00005203', 'id_00005690', 'id_00000091', 'id_00003167', 'id_00000277', 'id_00004734', 'id_00005956', 'id_00007749', 'id_00002489', 'id_00006445', 'id_00004433', 'id_00002115', 'id_00005893', 'id_00006381', 'id_00003337', 'id_00005381', 'id_00004141', 'id_00000984', 'id_00001505', 'id_00002613', 'id_00001269', 'id_00004668', 'id_00002730', 'id_00007971', 'id_00000094', 'id_00000550', 'id_00006865', 'id_00006227', 'id_00006665', 'id_00004989', 'id_00003174', 'id_00001774', 'id_00002384', 'id_00004075', 'id_00006863', 'id_00001910', 'id_00005592', 'id_00001302', 'id_00004172', 'id_00000714', 'id_00003455', 'id_00002121', 'id_00003489', 'id_00007831', 'id_00000379', 'id_00003740', 'id_00006093', 'id_00005158', 'id_00003060', 'id_00007215', 'id_00006947', 'id_00003358', 'id_00002121', 'id_00005177', 'id_00000771', 'id_00005913', 'id_00001242', 'id_00002201', 'id_00002233', 'id_00000407', 'id_00000415', 'id_00001070', 'id_00003259', 'id_00002536', 'id_00000252', 'id_00003715', 'id_00004497', 'id_00003457', 'id_00000249', 'id_00000821', 'id_00000997', 'id_00005988', 'id_00001222', 'id_00000408', 'id_00007638', 'id_00005469', 'id_00005032', 'id_00003016', 'id_00006179', 'id_00007196', 'id_00007371', 'id_00004675', 'id_00004103', 'id_00002430', 'id_00006173', 'id_00004211', 'id_00000846', 'id_00005369', 'id_00003857', 'id_00000481', 'id_00006386', 'id_00007468', 'id_00006965', 'id_00001665', 'id_00000529', 'id_00001250', 'id_00003871', 'id_00001478', 'id_00000227', 'id_00005244', 'id_00006491', 'id_00006970', 'id_00001163', 'id_00006734', 'id_00001509', 'id_00004487', 'id_00001248', 'id_00006166', 'id_00001049', 'id_00004911', 'id_00004866'], 'caption': ['a woman in white shorts and a tank top', 'a woman in a green and white plaid dress', 'a woman in a blue shirt and jeans', 'a woman in a black dress posing for a picture', 'a woman in a plaid dress and hoodie', 'a woman in a white top and green shorts', 'a woman in a white shirt and black shorts', 'a man in a blue shirt and black pants', 'a woman wearing a black top and jeans', 'a woman in an orange dress standing against a white wall', 'a woman in a red blazer and white dress holding a black bag', 'a woman in a gray jumpsuit posing for a picture', 'a woman in white pants and a yellow top', 'a woman wearing a striped top with a cut out back', 'a woman wearing a black hat and a white top', 'a woman in a white t - shirt and black and white patterned overalls', 'a woman wearing a black and white shirt and shorts', 'a woman in a white tank top and khaki pants', 'a woman in an orange dress posing for a picture', 'a woman in a yellow dress posing for a picture', 'a woman wearing a blue coat and black leggings', 'a woman wearing a white top and black pants', 'a woman wearing a hat and a striped shirt', 'a woman in a blue shirt and jeans', 'a woman wearing a hat and a striped dress', 'a woman in white jeans and a striped t - shirt', 'a woman in a black and white coat posing for a picture', 'a man in a yellow polo shirt poses for a picture', 'a woman in a black top and a black skirt', 'a woman wearing a black and white top and a black leather skirt', 'a woman in a pink shirt and black pants', 'a woman in a black top and colorful pants', 'a woman in a black and white dress posing for a picture', 'a woman in black pants and a denim jacket', 'a woman wearing a white top with a flower in her hair', 'a man in a white t - shirt and black shorts', 'a woman wearing a blue shirt and grey pants', 'a woman in a tank top and jeans posing for a picture', 'a woman in a gray shirt and blue jeans', 'a woman is wearing a sweater and jeans', 'a woman wearing a grey shirt with a pocket', 'a man in a red and blue checkered shirt and khaki pants', 'a woman in jeans and a pink top', 'a woman wearing a striped top and denim skirt', 'a woman wearing a white and blue plaid shirt', 'a woman in a blue shirt and black leggings', 'a woman in a blue tank top poses for a picture', 'a woman standing against a wall wearing a light blue shirt', 'a woman in a red dress posing for a picture', 'a woman wearing a white dress with black trims', 'a woman wearing a black vest and a hat', 'a man wearing a grey shirt and black pants', 'a woman in a white tank top and denim shorts', 'a woman in a white top and black skirt', 'a woman in a grey romper and white sneakers', 'a woman wearing a white top and jeans', 'a woman wearing a hat and a dress', 'a man with a tattoo on his arm', 'a woman in a black top and purple skirt', 'a woman wearing a white sweater and a hat', 'a woman in a white lace top and tan pants', 'a woman wearing a hat and a white top', 'a man wearing a blue and green striped shirt', 'a woman with blonde hair wearing a black top', 'a man standing in front of a white wall', 'a woman in a blue floral print dress', 'a woman in a black and white striped jumpsuit', 'a woman in a floral print dress', 'a woman with long blonde hair wearing a pink tank top', 'a woman in a grey jacket and denim shorts', 'a woman in a white top and black pants', 'a woman in a white dress posing for a picture', 'a woman in a black shirt and plaid shirt', 'a woman in a pink romper posing for a picture', 'a woman in a yellow shirt posing for a picture', 'a woman in a white dress standing against a wall', 'a woman wearing a black and white top', 'a man in a black shirt and grey pants', 'a woman in a white shirt and black skirt', 'a woman wearing a red crocheted dress', 'a woman in a blue and white floral print jumpsuit', 'a woman in a pink dress posing for a picture', 'a beautiful young woman standing next to a white wall', 'a woman wearing a cropped top with arrows on it', 'a woman in a gray shirt and black pants', 'a woman in a black shirt and patterned pants', 'a man in a white t - shirt and ripped jeans', 'a woman wearing a white top and jeans', 'a woman with pink hair wearing a white dress and a black hat', 'a woman in a red tank top and ripped jeans', 'a man in a black shirt and leopard print pants', 'a man wearing a white t - shirt with a colorful pocket', 'a woman wearing a black hat and dress', 'a woman in a striped dress poses for a picture', 'a woman in a white and blue dress', 'a woman is wearing a shawl and jeans', 'a woman wearing a pink top and black pants', 'a woman wearing a white top and jeans', 'a woman in a pink shirt and black shorts', 'a woman wearing a white top and denim shorts', 'a man wearing a black sweater with white stars on it', 'a woman wearing ripped jeans and a white tank top', 'a young woman posing for a picture in a crop top', 'a woman in a black and white checkered shirt dress', 'a woman in black shorts and a striped tank top', 'a woman in a dress and a cardigan sweater', 'a woman in jeans and a floral blouse', 'a woman in a pink shirt and black vest', 'a woman wearing a tan sweater and black leggings', 'a woman wearing a green and black plaid shirt', 'a man in a black shirt and blue shorts', 'a woman in black and white posing for a picture', 'a woman wearing a white shirt and black shorts', 'a man in a suit is standing with his back to the camera', 'a woman in a neon yellow top and black shorts', 'a woman in a crop top posing for a picture', 'a woman wearing a white top and jeans', 'a woman in high waisted shorts and a crop top', 'a young man wearing a blue and red t - shirt', 'a woman in a long dress posing for a picture', 'a man wearing a red shirt and black pants', 'a woman wearing a pink top and jeans', 'a woman wearing a white dress and sandals', 'a woman in a green top and black skirt', 'a woman wearing a blue and black plaid shirt', 'a woman in a red and white striped dress', 'a woman in a black dress is posing for a picture', 'a woman in shorts and a shirt posing for a picture', 'a woman in black pants and a gray shirt', 'a woman in a maroon dress and black boots', 'a woman with long brown hair wearing a grey sweater', 'a young man wearing a black shirt and glasses', 'a woman wearing a hat and a pink top', 'a woman wearing a white tank top and black pants', 'a woman in a long dress standing in front of a white background', 'a woman wearing a white top and denim shorts', 'a woman in an orange romper is standing in front of a blue wall', 'a man in a blue hoodie is standing with his hands in his pockets', 'a woman in a black dress posing for a picture', 'a woman wearing a white shirt and jeans', 'a woman wearing a hat and a plaid shirt', 'a woman wearing a white sweater and jeans', 'a man wearing a red and black striped shirt', 'a woman wearing a black top and grey pants', 'a woman standing in front of a white wall', 'a woman wearing a tie dye top and jeans', 'a woman wearing a green top and jeans', 'a woman wearing a pink shirt and denim shorts', 'a woman standing on a wooden floor wearing a dress', 'a woman in a black and white striped shirt', 'a woman wearing a black top and leggings', 'a woman wearing a grey top and jeans', 'a woman wearing a blue dress with white embroidery', 'a woman wearing a white top and black pants', 'a woman in a blue kimono is posing for a picture', 'a woman wearing a black and white striped cardigan', 'a woman in a white dress posing for a picture', 'a woman in shorts and a t - shirt', 'a woman wearing a striped sweater and jeans', 'a woman wearing a white top and denim shorts', 'a woman in a black dress posing for a picture', 'a man in a blue tank top and white pants', 'a woman wearing a black top with a cut out back', 'a woman wearing a black top and denim shorts', 'a woman wearing a red and white plaid shirt', 'a woman wearing a hat and a sweater', 'a woman in a blue top and yellow skirt', 'a woman in a floral romper and sandals poses for a picture', 'a woman wearing a hat and a black top', 'a woman wearing a white sweater and jeans', 'a woman wearing a cropped top and denim shorts', 'a woman wearing a hat and a sweater', 'a woman standing in a striped dress', 'a woman in jeans and a tank top', 'a woman in a white shirt and blue shorts', 'a man wearing a blue shirt and black pants', 'a woman in a white tank top and blue shorts', 'a woman in a black top and a red leather jacket', 'a woman wearing a white dress with a black belt', 'a woman in a short dress posing for a picture', 'a woman in denim shorts and a tank top', 'a woman in a white cardigan sweater and leather pants', 'a woman in a leopard print shorts and a t - shirt', 'a woman wearing a white turtle neck sweater and black leather pants', 'a woman in a short skirt and a furry jacket', 'a woman wearing a black top and white shorts', 'a woman wearing a black hat and a white dress', 'a woman in a black and white dress with her hands on her head', 'a blonde woman in a black top and floral shorts', 'a woman in a black dress is looking down', 'a woman in short shorts and a white shirt', 'a woman posing for a picture in a white shirt and black shorts', 'a woman in a grey sweater and ripped jeans', 'a man in a pink shirt and khaki pants', 'a woman with a plaid shirt and denim overalls', 'a woman in a striped top and jeans', 'a woman in a black and white patterned jumpsuit', 'a woman in a black tank top and denim shorts', 'a woman in a white top and blue jeans', 'a woman in a white top and black shorts'], 'mask': [, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ], 'mask_overlay': [, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ], 'questions': [' What color were the shorts worn by the woman?', ' What color is the woman in the photo?', ' What color is the woman in the photo?', ' What color dress is the woman in the picture?', ' What is the woman wearing in the photo?', ' What color is the shorts?', ' What color is the woman in the photo?', ' What color shirt is the man in the photo wearing?', \" What color is the top of the woman's top?\", ' What color dress is the woman in the photo?', ' What color is the woman in the photo?', ' What color is the jumpsuit?', ' What color is the top of the woman?', \" What is the top of the woman's top?\", \" What color is the top of the woman's top?\", ' What color overalls are worn by the woman in the photo?', \" What color is the woman's shirt?\", ' What color is the tank top?', ' What color dress is the woman in the picture?', ' What color dress is the woman in the picture?', \" What color is the woman's coat?\", \" What color is the woman's top?\", ' What is the woman wearing?', ' What color is the woman in the photo?', ' What is the woman wearing?', ' What color jeans does the woman wear?', ' What color coat is the woman in the picture?', ' What color is the polo shirt?', ' What color is the woman in the photo?', \" What color is the top of the woman's top?\", ' What color is the woman in the picture?', \" What color is the woman's top?\", ' What color dress is the woman in the picture?', ' What color pants does the woman wear?', \" What is the symbol on the woman's head?\", ' What color is the t - shirt?', \" What color is the woman's clothing?\", ' What is the woman wearing in the picture?', ' What color is the woman in the photo?', 'Is there a person in the image?', ' What color is the shirt?', ' What color checked shirt is the man wearing?', ' What color top is the woman wearing?', ' What is the woman wearing?', ' What color is the plaid shirt?', ' What color is the woman in the photo?', ' What color tank top is the woman in?', \" What color is the woman's shirt?\", ' What color dress is the woman in the picture?', ' What color is the dress?', ' What is the woman wearing?', ' What color is the shirt on the man in the photo?', ' What color tank top is the woman wearing?', ' What color is the woman in the photo?', \" What color was the woman's romper?\", ' What color top is she wearing?', ' What is the woman wearing?', 'Is there a person in the image?', ' What color is the woman in the photo?', ' What is the woman wearing?', ' What color is the lace top on the woman in the photo?', ' What is the woman wearing?', ' What color is the shirt?', 'Is there a person in the image?', ' What is the man standing in front of?', ' What color dress is the woman wearing?', \" What color was the woman's jumpsuit?\", ' What is the print on the dress?', 'Is there a person in the image?', ' What color jacket is the woman wearing?', ' What color is the woman in the photo?', ' What is the name of the white dress the woman is wearing?', ' What color shirt is the woman wearing?', ' What color romper is the woman in?', ' What color shirt is the woman in the picture?', ' What is the woman in the picture in the photo?', ' What color is the top of the woman?', ' What color pants does the man wear?', ' What color is the woman in the photo?', ' What color is the crocheted dress?', \" What color is the print on the woman's jumpsuit?\", ' What color dress is the woman in the picture?', 'Is there a person in the image?', ' What is the name of the woman wearing the cropped top with arrows on it?', ' What color is the woman in the photo?', ' What color is the woman in the photo?', ' What is the man wearing in the picture?', ' What color top is she wearing?', 'Is there a person in the image?', ' What color tank top is the woman in?', ' What color is the shirt?', ' What is the color of the pocket on the t - shirt?', \" What color is the woman's dress?\", ' What kind of dress is the woman in the picture?', ' What color is the woman in the photo?', 'Is there a person in the image?', ' What color top is the woman wearing?', ' What color top is she wearing?', ' What color is the woman in the picture?', ' What color top is the woman wearing?', ' What color is the sweater on the man wearing the star pattern?', ' What type of tank top is the woman wearing?', 'Is there a person in the image?', ' What color was the checkered shirt?', ' What color shorts does the woman wear?', ' What is the woman wearing in the picture?', ' What is the woman wearing?', ' What color is the woman in the photo?', ' What color is the sweater?', ' What color is the plaid shirt worn by the woman?', ' What color is the shorts?', ' What color was the woman in the picture?', \" What color is the woman's shorts?\", ' What is the man in the suit doing?', ' What color is the top of the woman in the video?', ' What type of top is the woman in the picture?', ' What color top is she wearing?', ' What is the woman wearing in the photo?', 'Is there a person in the image?', ' What is the name of the woman in the picture?', ' What color shirt is the man wearing?', ' What color top is the woman wearing?', ' What color dress is she wearing?', ' What color is the top of the woman in the photo?', \" What color is the woman's plaid shirt?\", \" What color was the woman's dress?\", ' What color dress is the woman in the picture?', ' What is the woman wearing in the picture?', \" What color is the woman's shirt?\", ' What color is the woman in the photo?', 'Is there a person in the image?', 'Is there a person in the image?', ' What is the woman wearing in the picture?', ' What color is the tank top?', ' What is the background of the image?', ' What color top is the woman wearing?', ' What color is the wall in front of the woman?', ' What color is the hoodie?', ' What color dress is the woman in the picture?', ' What color is her shirt?', ' What is the woman wearing?', \" What color is the woman's clothing?\", ' What color is the shirt?', \" What color is the woman's top?\", ' What is the woman standing in front of?', ' What is the woman wearing?', ' What color top is the woman wearing?', ' What color shirt is the woman wearing?', ' What is the woman wearing?', ' What color is the woman in the photo?', ' What color top was the woman wearing?', \" What color is the woman's top?\", ' What color is the dress?', \" What color is the woman's top?\", ' What color is the kimono?', ' What color is the cardigan?', ' What is the name of the white dress the woman is wearing?', ' What is the woman wearing?', ' What is the woman wearing?', ' What color top is the woman wearing?', ' What color dress is the woman in the picture?', ' What color is the tank top?', ' What color is the top?', ' What color top is the woman wearing?', ' What color is the plaid shirt?', ' What is the woman wearing?', ' What color is the woman in the photo?', ' What does the woman pose for?', ' What is the woman wearing?', \" What color is the woman's clothing?\", ' What type of shorts does the woman wear?', ' What is the woman wearing?', ' What is the woman wearing?', ' What is the woman wearing?', ' What color is the woman in the photo?', ' What color is the shirt on the man in the photo?', ' What color is the tank top?', ' What color leather jacket is the woman wearing?', ' What color is the dress?', ' What is the name of the short dress the woman is wearing?', ' What is the woman wearing?', ' What color is the cardigan?', ' What print is on the shorts and t - shirt?', ' What color is the turtle neck sweater worn by the woman?', ' What is the woman wearing?', \" What color is the woman's top?\", \" What color is the woman's dress?\", ' What color is the woman in the photo?', 'Is there a person in the image?', ' What is the woman in the picture looking down on?', ' What color shirt is the woman wearing?', ' What color is the woman in the picture?', ' What color sweater is the woman wearing?', ' What color shirt is the man wearing?', 'Is there a person in the image?', ' What is the woman wearing?', ' What color is the jumpsuit?', ' What color tank top is the woman wearing?', ' What color is the woman in the photo?', ' What color is the top of the woman in the photo?'], 'answers': [' white', ' green and white', ' blue', ' black', ' plaid dress and hoodie', ' green', ' white', ' blue', ' black', ' orange', ' red', ' gray', ' yellow', ' striped', ' white', ' black and white', ' black', ' white', ' orange', ' yellow', ' blue', ' white', ' hat', ' blue', ' hat', ' white', ' black and white', ' yellow', ' black', ' black', ' pink', ' black', ' black and white', ' black', ' flower', ' white', ' blue', ' tank top and jeans', ' gray', 'Yes, there it is', ' grey', ' red and blue', ' pink', ' striped top and denim skirt', ' white and blue', ' blue', ' blue', ' light blue', ' red', ' white', ' a black vest and a hat', ' grey', ' white', ' white', ' grey', ' white', ' hat and a dress', 'Yes, there it is', ' purple', ' white sweater', ' white', ' a hat', ' blue and green', 'Yes, there it is', ' white wall', ' blue', ' black and white', ' floral print', 'Yes, there it is', ' grey', ' white', ' white dress', ' black', ' pink', ' yellow', ' a woman in a white dress', ' black and white', ' grey', ' white', ' red', ' blue and white', ' pink', 'Yes, there it is', ' a woman', ' gray', ' black', ' white t - shirt', ' white', 'Yes, there it is', ' red', ' black', ' colorful', ' black', ' striped', ' white and blue', 'Yes, there it is', ' pink', ' white', ' pink', ' white', ' white', ' white', 'Yes, there it is', ' black and white', ' black', ' a dress and a cardigan sweater', ' jeans', ' pink', ' tan', ' green', ' blue', ' black and white', ' black', ' standing with his back to the camera', ' neon yellow', ' crop top', ' white', ' high waisted shorts and a crop top', 'Yes, there it is', ' a woman', ' red', ' pink', ' white', ' green', ' blue', ' red and white', ' black', ' shorts and a shirt', ' gray', ' maroon', 'Yes, there it is', 'Yes, there it is', ' hat', ' white', ' white background', ' white', ' blue', ' blue', ' black', ' white', ' hat', ' white', ' red and black', ' black', ' white wall', ' tie dye top and jeans', ' green', ' pink', ' a dress', ' black and white', ' black', ' grey', ' blue', ' white', ' blue', ' black and white', ' white dress', ' shorts and a t - shirt', ' striped sweater and jeans', ' white', ' black', ' blue', ' black', ' black', ' red and white', ' hat and a sweater', ' blue', ' a picture', ' hat', ' white', ' denim', ' hat and a sweater', ' striped dress', ' jeans and a tank top', ' white', ' blue', ' white', ' red', ' white', ' a short dress', ' denim shorts and a tank top', ' white', ' leopard print', ' white', ' a short skirt and a furry jacket', ' black', ' white', ' black and white', 'Yes, there it is', ' a woman in a black dress', ' white', ' white', ' grey', ' pink', 'Yes, there it is', ' striped top and jeans', ' black and white', ' black', ' white', ' white'], 'input_ids': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199]}\n", + "Loading the dataset..\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "100%|██████████| 200/200 [07:56<00:00, 2.38s/it]" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "{'image': [, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ], 'openpose': [, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ], 'cloth': [, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ], 'caption': ['a woman wearing a black shirt and jeans stands in front of a white background', 'a pregnant woman in a blue top and jeans poses for a picture in front of a white background', 'a woman wearing a white t - shirt with a painting on it in front of a white background', 'a woman wearing a black top and tan pants in front of a white background', \"a woman wearing a white t - shirt with a heart and the word d'day printed on in front of a white background\", 'a woman in a blue and white shirt and jeans in front of a white background', 'a woman in black pants and a polka dot blouse in front of a white background', 'a woman in a black top and blue jeans is looking down in front of a white background', 'a woman wearing a navy top and yellow pants in front of a white background', 'a woman wearing a black top and a tan skirt in front of a white background', 'a woman wearing a white crop top with a red slogan in front of a white background', 'a woman wearing a pink shirt with a heart and arrow on it in front of a white background', 'a woman wearing a mustard top and white pants in front of a white background', 'a woman wearing a blue top with silver flowers on it in front of a white background', 'a pregnant woman wearing a burgundy top and jeans in front of a white background', 'a woman wearing a pink top with a pleaed neckline in front of a white background', 'a woman wearing a white t - shirt with a yellow box on the front in front of a white background', 'a woman wearing a white shirt and black leather skirt in front of a white background', 'a woman wearing a black and yellow floral top in front of a white background', 'a woman in a teal sweater poses for a picture in front of a white background', 'a woman wearing a green top with a floral print in front of a white background', 'a woman wearing a striped top and black pants in front of a white background', 'a woman in a black tank top and black pants in front of a white background', 'a woman wearing a black top and plaid pants in front of a white background', 'a woman wearing a white shirt and jeans stands in front of a white background', 'a woman in a black top and black pants posing for a picture in front of a white background', 'arafed woman in a black top and jeans posing for a picture in front of a white background', 'a woman wearing a striped top and white jeans in front of a white background', 'a woman wearing a gold sequinned top and black pants in front of a white background', 'a woman wearing a red and black leopard print top in front of a white background', 'a woman wearing a black top and brown pants in front of a white background', 'a woman wearing a black top with a zippered back in front of a white background', 'a woman wearing a green top and white jeans in front of a white background', 'a woman wearing a black and white floral top and orange skirt in front of a white background', 'a woman wearing a black top with a lace insert in front of a white background', 'a woman wearing a green shirt with the word yes on it in front of a white background', 'a woman wearing a black floral top and jeans in front of a white background', 'a woman wearing white pants and a blue top with a blue and white pattern in front of a white background', 'a woman wearing a white and black top with a floral print in front of a white background', 'a woman wearing a floral top and green skirt in front of a white background', 'a woman wearing a grey t - shirt and jeans in front of a white background', 'a woman in a striped shirt and shorts poses for a picture in front of a white background', 'a woman wearing a white top and jeans in front of a white background', 'a woman wearing a black sweatshirt with a red and white logo on the chest in front of a white background', 'a woman in a black top and a denim skirt in front of a white background', 'a woman in a black skirt and a floral shirt in front of a white background', 'a woman in white top and jeans posing for a picture in front of a white background', 'a woman wearing a leopard print top and black pencil skirt in front of a white background', 'a woman in a grey sweater and black jeans stands against a white background', 'a woman in a skirt and a t - shirt with a horse print in front of a white background', 'a woman wearing a white t - shirt with the word oui on it in front of a white background', 'arafed woman in a pink shirt and jeans posing for a picture in front of a white background', 'a pregnant woman in a grey top and a patterned skirt in front of a white background', 'a woman wearing a pink and black shirt and black pants in front of a white background', 'a woman wearing a black shirt and black skirt with a belt in front of a white background', 'a woman wearing a white shirt and a brown plaid skirt in front of a white background', 'a woman wearing a blue and red plaid top with ruffled shoulders in front of a white background', 'a woman wearing a grey t - shirt with an american flag on it in front of a white background', 'a woman wearing a black t - shirt with a bat design in front of a white background', 'a woman wearing a floral blouse and jeans in front of a white background', 'a woman wearing a white blouse with green embroidery on the shoulders in front of a white background', 'a woman wearing a black top and jeans standing in front of a white background', 'a woman wearing a white shirt with a slogan on the back in front of a white background', 'a woman wearing a white t - shirt and black shorts in front of a white background', 'a woman wearing a green turtle neck top and black floral print skirt in front of a white background', 'a woman wearing a blue striped t - shirt and jeans in front of a white background', 'a woman wearing a pink top with lace detailing and jeans in front of a white background', 'arafed woman with a pink top and black skirt posing for a picture in front of a white background', 'a woman in a green shirt and jeans poses for a picture in front of a white background', 'the north face - t - shirt print - purple in front of a white background', 'a woman wearing a grey top with sequins on the shoulders in front of a white background', 'a woman in a striped shirt and wide legged pants in front of a white background', 'a woman wearing a guess t - shirt with a triangle on it in front of a white background', 'a woman wearing a black shirt and jeans stands in front of a white background', 'a woman wearing a green top and black denim shorts in front of a white background', 'a woman wearing a white top and camouflage pants in front of a white background', 'arafed woman in a blue top and white pants posing for a picture in front of a white background', 'a woman wearing a white and black striped top with a pocket in front of a white background', 'arafed woman in a black top and jeans posing for a picture in front of a white background', 'a woman wearing a gold top and white pants in front of a white background', 'a woman wearing a snakeskin skirt and a white top in front of a white background', 'a woman in a black dress and sheer sleeves in front of a white background', 'a woman wearing a striped top and red leopard print skirt in front of a white background', 'a woman wearing a leopard print top and denim skirt in front of a white background', 'a woman wearing a white top and jeans poses for a picture in front of a white background', 'a woman wearing a black shirt and tan skirt in front of a white background', 'a woman wearing a red top and white pants in front of a white background', 'a woman in a white shirt and striped skirt with a ponytail in front of a white background', 'a woman in a blue and white top and skirt in front of a white background', 'a woman wearing a blue top and white pants with a black hair in front of a white background', 'a woman wearing a blue blouse and tan pants in front of a white background', 'a woman in a black bra top and snakes print pants in front of a white background', 'a woman wearing a green top and green shorts in front of a white background', 'a woman wearing a white t - shirt with a logo on the front in front of a white background', 'a woman in a black floral top and jeans poses for a picture in front of a white background', 'a woman wearing a white top with buttons and black pants in front of a white background', 'a woman wearing a white top with cut out shoulders in front of a white background', 'a woman wearing a pink shirt with a yellow flower on it in front of a white background', 'a woman in a turtle neck top and pants in front of a white background', 'a woman in a black top and red floral skirt in front of a white background', 'a woman in black pants and a white shirt is posing in front of a white background', \"a woman wearing a white t - shirt with the words'greatest'printed on it in front of a white background\", 'a woman wearing a green top and denim skirt in front of a white background', 'a woman in a black top and jeans smiling at the camera in front of a white background', 'a woman wearing a white top and blue striped pants in front of a white background', 'a woman in a leopard print shirt and jeans poses for a picture in front of a white background', 'a woman wearing a grey top with a black skirt in front of a white background', 'a woman wearing a black crop top and jeans in front of a white background', 'a woman in a black top and floral skirt posing for a picture in front of a white background', 'a woman wearing a white top and shorts with a lace trim in front of a white background', 'a woman wearing a green shirt and black pants in front of a white background', 'a woman in a grey shirt and black pants posing for a picture in front of a white background', 'a woman wearing a yellow top with a polka dot pattern in front of a white background', 'a woman wearing a black plea skirt and a metallic top in front of a white background', 'nike - dry tee - t - shirt basic - pink glow in front of a white background', 'a woman wearing a white t - shirt with a black belt in front of a white background', 'a woman wearing a black turtle neck top and a tie dye skirt in front of a white background', 'a pregnant woman wearing a blue top and jeans in front of a white background', 'a woman in a white shirt and denim shorts posing for a picture in front of a white background', 'a woman wearing a black top with a colorful flower print in front of a white background', 'a woman in a striped shirt and jeans poses for a picture in front of a white background', 'a woman in a black top and jeans posing for a picture in front of a white background', 'a woman in a black top and a skirt with a frillying hem in front of a white background', 'a woman wearing a white pep t - shirt with a red and blue logo in front of a white background', 'a woman wearing a black leather jacket and skirt in front of a white background', 'a woman wearing a red cropped top with a white collar in front of a white background', 'a woman in a black top and green skirt in front of a white background', 'a woman wearing a white top with ruffled shoulders in front of a white background', 'a woman wearing a black top with a floral print in front of a white background', 'a woman wearing a black top with white polka dots in front of a white background', 'a woman wearing a white top and black pants in front of a white background', 'a woman in jeans and a top with a floral print in front of a white background', 'a woman in a red dress smiles while standing in front of a white background', 'a woman wearing an orange top and white pants in front of a white background', 'a woman wearing a white shirt and pink pants in front of a white background', 'a woman wearing a grey top with black and black leopard print in front of a white background', 'a woman in a blue top and brown pants stands against a white background', 'a woman in a black floral shirt and yellow pants in front of a white background', 'a woman in a black top and black pants posing for a picture in front of a white background', 'a woman wearing a red blouse and jeans stands in front of a white background', 'a woman wearing a black t - shirt with a picture of a dog on it in front of a white background', 'a woman wearing a navy sweater and skirt with buttons in front of a white background', 'a woman with a afro hair wearing a elless t - shirt in front of a white background', 'a woman in a white top and black pants in front of a white background', 'a woman wearing a t - shirt with a slogan on the front in front of a white background', 'a woman in a pink shirt and blue pants posing for a picture in front of a white background', 'a woman wearing a top with a floral print pattern in front of a white background', 'a pregnant woman wearing a navy top with a bow at the waist in front of a white background', 'a woman wearing a black crop top with a gold logo on the chest in front of a white background', 'a woman wearing a white shirt and jeans with a belt in front of a white background', 'a woman in a black top and shorts posing for a picture in front of a white background', 'a woman wearing a white top and a pink skirt in front of a white background', 'a woman wearing a black t - shirt with a snake on it in front of a white background', 'a woman wearing a white shirt and floral pants in front of a white background', 'a woman wearing a blue cropped top and pink pants in front of a white background', 'a woman wearing a pink top and white pants in front of a white background', 'a woman wearing a white top and jeans stands in front of a white wall in front of a white background', 'a woman wearing a blue top and black pants in front of a white background', 'a woman wearing a leopard print skirt and a yellow blouse in front of a white background', 'a woman wearing a black and white floral top with long sleeves in front of a white background', 'a woman wearing a leopard print blouse and green pants in front of a white background', 'a woman wearing a grey t - shirt with a green logo on the front in front of a white background', 'a woman wearing a green shirt and white pants in front of a white background', 'a woman wearing a white shirt and black jeans in front of a white background', 'a woman wearing a green sweater and jeans stands against a white background', 'a woman wearing a black t - shirt with gold sequins on the front in front of a white background', 'a woman wearing a black t - shirt with a leopard print skirt in front of a white background', 'a woman wearing a white top and black skirt in front of a white background', 'a woman wearing a blue top and yellow skirt in front of a white background', 'a woman wearing a black t - shirt with the word carhart on it in front of a white background', 'a woman in a grey top and black plea skirt in front of a white background', 'a woman wearing a neon yellow top and black pants in front of a white background', 'a woman wearing a red t - shirt with a picture of a woman on a cloud in front of a white background', 'a woman wearing a striped top and jeans stands in front of a white background', 'a woman wearing a black top and tan pants in front of a white background', 'a woman wearing a green colorado t - shirt and jeans in front of a white background', 'a woman wearing a white and yellow striped top with a pair of earrings in front of a white background', 'a woman wearing a black top and a plaid skirt in front of a white background', 'a pregnant woman wearing a grey top and jeans in front of a white background', 'a woman in a black top and purple pants posing for a picture in front of a white background', 'a pregnant woman in a grey top and jeans poses for a picture in front of a white background', 'a woman wearing a navy blouse and black pants in front of a white background', 'arafed woman wearing a black turtle neck top and floral pants in front of a white background', 'a woman wearing a black top and white shorts in front of a white background', 'a woman wearing a navy t - shirt with the word lucky on it in front of a white background', 'a woman wearing a red floral blouse and white pants in front of a white background', 'a woman wearing a pink top with a cut out neckline in front of a white background', 'a woman in a yellow shirt and black skirt posing for a picture in front of a white background', 'a woman wearing a white t - shirt with a heart and zebra print in front of a white background', 'a woman in a black dress with a collared neck in front of a white background', 'a woman wearing a maroon turtle neck sweater and plaid pants in front of a white background', 'a woman wearing a white shirt and jeans posing for a picture in front of a white background', 'a woman in a white shirt and brown pants posing for a picture in front of a white background', 'a woman in a black top and white pants in front of a white background', 'adidas originals 3 stripes tee - t - shirt impmezzonate - red in front of a white background', 'a woman wearing a rust colored top and jeans in front of a white background', 'a woman in a turtle neck sweater and jeans poses for a picture in front of a white background', 'a woman wearing a white top with a zebra print sleeves in front of a white background', 'a woman in a yellow top and black skirt posing for a picture in front of a white background', 'a woman wearing a black tank top with a white flower on it in front of a white background'], 'questions': [' What color is the background of the photo?', 'Is there a person in the image?', \" What is the background of the painting on the woman's t - shirt?\", ' What color is the background of the woman?', ' What word is printed on the t - shirt?', ' What color background is the woman in the photo?', ' What color is the background?', \" What color is the background of the woman's image?\", ' What color is the background of the photo?', ' What color is the background of the woman?', ' What color is the background?', ' What color is the background of the illustration?', ' What color is the background of the woman?', ' What color is the background of the photo?', 'Is there a person in the image?', ' What color is the background of the image?', ' What color is the background?', ' What color is the background of the woman?', ' What color is the background of the photo?', ' What color is the sweater on the woman in the picture?', ' What color is the background of the photo?', ' What color background is the woman wearing?', ' What color is the background?', ' What color background is the woman wearing?', ' What color is the background of the photo?', ' What color is the background of the woman in the picture?', ' What color is the background of the picture?', ' What color background is the woman wearing?', ' What color is the background of the woman?', ' What color is the background?', ' What color is the background of the woman?', ' What color is the background of the woman in the photo?', \" What color is the background of the woman's clothing?\", ' What color is the background of the woman?', ' What color is the background?', ' What color is the background of the image?', ' What color background is used for the background of the woman?', ' What color is the background of the woman?', \" What is the background of the woman's top?\", ' What color is the background of the woman?', ' What color is the background of the woman?', \" What color is the background of the woman's picture?\", ' What is the background of the image?', ' What color is the background?', ' What color is the background?', ' What color is the background of the woman?', ' What is the background of the woman in the picture?', ' What color background is used in this illustration?', ' What color is the background of the woman?', ' What is the background color of the woman in the horse print?', ' What is the word oui written on?', ' What color is the background of the picture?', 'Is there a person in the image?', ' What color is the background of the woman?', ' What color is the background?', ' What color is the background of the woman?', \" What color is the background of the woman's plaid top?\", ' What color is the background?', \" What is the design on the woman's t - shirt?\", ' What is the background of the photo?', ' What color is the background of the image?', ' What color is the background of the woman?', ' What is the background color of the shirt?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman?', 'Is there a person in the image?', \" What color is the background of the woman's picture?\", 'Is there a person in the image?', ' What color is the background?', ' What color background is the woman in the photo?', ' What is the background of the image?', ' What color is the background of the photo?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman?', \" What color is the background of the woman's top?\", ' What color is the background of the picture?', ' What color background is used in this photo?', ' What is the background of the image?', ' What color is the background of the woman?', ' What color is the background?', ' What is the background color of the woman?', \" What color is the background of the woman's picture?\", ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the photo?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color background is the woman in the photo?', ' What color is the background of the woman?', ' What is the background color of the t - shirt?', ' What color is the background of the photo?', ' What color background is the woman wearing?', ' What color is the background of the woman?', ' What color is the background of the photo?', ' What is the background of the woman in the photo?', ' What color is the background of the woman?', \" What color is the background of the woman's photo?\", ' What is the name of the woman wearing the t - shirt?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What is the background of the photo?', ' What color is the background of the image?', ' What color is the background of the photo?', ' What color is the background of the woman in the picture?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman in the picture?', ' What color is the background of the photo?', ' What color is the background of the woman?', 'Is there a person in the image?', ' What color is the background?', ' What color is the background of the image?', 'Is there a person in the image?', ' What color is the background of the woman in the picture?', \" What color is the background of the woman's top?\", \" What color is the background of the woman's picture?\", ' What color is the background of the woman in the picture?', ' What color is the background?', ' What color is the background of the pep t - shirt?', ' What color background is the woman wearing?', ' What color is the background?', ' What color is the background of the woman?', ' What is the background of the woman?', ' What color is the background of the photo?', ' What color is the background of the photo?', ' What color is the background of the woman?', ' What is the background color of the woman in the illustration?', ' What color is the background of the photo?', ' What color is the background of the woman?', ' What color is the background of the photo?', ' What color is the background of the image?', ' What color is the background of the woman?', ' What color is the background of the photo?', ' What color is the background of the woman in the picture?', ' What color is the background of the photo?', ' What color is the background?', ' What color background is the woman wearing?', 'Is there a person in the image?', ' What color is the background?', ' What is the background color of the t - shirt?', ' What color is the background of the woman in the picture?', ' What is the background color of the image?', 'Is there a person in the image?', ' What color is the background?', ' What color is the background of the woman?', ' What color is the background of the woman in the picture?', ' What color is the background of the woman?', ' What color is the background?', ' What color background is the woman wearing?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the photo?', ' What color background is the woman wearing the floral top?', ' What color is the background?', ' What color is the background?', ' What color is the background of the woman?', ' What color background is the woman wearing?', ' What color is the background of the woman?', ' What color is the background?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What is the name of the woman wearing the t - shirt?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the shirt?', ' What color background is the woman standing in front of?', ' What color is the background of the woman?', ' What color is the background of the woman?', ' What color is the background of the woman wearing the top?', ' What color is the background of the woman?', 'Is there a person in the image?', ' What color is the background of the woman in the picture?', 'Is there a person in the image?', ' What color is the background of the woman?', ' What color background is the woman wearing?', ' What color is the background of the woman?', ' What color is the background of the image?', ' What color is the background of the photo?', ' What color is the background of the image?', ' What color is the background of the woman in the picture?', ' What is the background color of the woman wearing the t - shirt?', ' What color is the background of the woman in the photo?', ' What color is the background of the woman?', \" What color is the background of the woman's picture?\", ' What color is the background of the woman in the picture?', ' What color is the background of the woman?', 'Is there a person in the image?', \" What color is the background of the woman's photo?\", ' What is the woman wearing in the picture?', ' What is the background of the woman?', ' What color is the background of the woman in the picture?', ' What color is the background of the image?'], 'answers': [' white', 'Yes, there it is', ' white background', ' white', \" d'day\", ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', 'Yes, there it is', ' white', ' white', ' white', ' white', ' teal', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white background', ' white', ' white', ' white', ' white background', ' white', ' white', ' white', ' white background', ' white', ' white', ' white', ' a white t - shirt', ' white', 'Yes, there it is', ' white', ' white', ' white', ' white', ' white', ' bat', ' white background', ' white', ' white', ' white', ' white', ' white', ' white', ' white', 'Yes, there it is', ' white', 'Yes, there it is', ' white', ' white', ' white background', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white background', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white background', ' white', ' white', ' greatest', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', 'Yes, there it is', ' white', ' white', 'Yes, there it is', ' white', ' black', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white background', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white background', 'Yes, there it is', ' white', ' white', ' white', ' white', 'Yes, there it is', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' carhart', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', 'Yes, there it is', ' white', 'Yes, there it is', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', ' white', 'Yes, there it is', ' white', ' turtle neck sweater and jeans', ' white background', ' white', ' white'], 'input_ids': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199]}\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "\n" + ] + } + ], "source": [ - "def train_model(data_loader, num_epochs=50, patience=5):\n", - " optimizer = torch.optim.AdamW(model.parameters(), lr=4e-5)\n", - " scheduler = torch.optim.lr_scheduler.ExponentialLR(optimizer, gamma=0.9, last_epoch=-1, verbose=False)\n", + "from tqdm import tqdm\n", + "import numpy as np\n", "\n", - " information = []\n", - " scaler = torch.cuda.amp.GradScaler()\n", + "action_key_words = [\"in\", \"wearing\", \"standing\", \"is wearing\",\n", + " \"posing\", \"sitting\", \"walking\", \"carrying\",\n", + " \"leaning\"]\n", "\n", - " for epoch in range(num_epochs):\n", - " epoch_loss = 0\n", - " model.train()\n", - " for idx, batch in zip(tqdm(range(len(data_loader)), desc='Training batch: ...'), data_loader):\n", - " input_ids = batch.pop('input_ids').to(device)\n", - " pixel_values = batch.pop('pixel_values').to(device)\n", - " labels = batch.pop('labels').to(device)\n", + "# creating pseudo questions\n", + "def create_pseudo_questions_for_saffal_possh(data, size=200):\n", + " dataset_selection = data[\"train\"][0: size]\n", + " questions = []\n", + " answers = []\n", + " images = []\n", + " input_ids = []\n", "\n", - " with torch.amp.autocast(device_type='cuda', dtype=torch.float16):\n", - " outputs = model(input_ids=input_ids,\n", - " pixel_values=pixel_values,\n", - " labels=labels)\n", + " print(\"Loading the dataset..\")\n", "\n", - " loss = outputs.loss\n", - " epoch_loss += loss.item()\n", - " optimizer.zero_grad()\n", + " sample_id = 0\n", "\n", - " scaler.scale(loss).backward()\n", - " scaler.step(optimizer)\n", - " scaler.update()\n", + " for key, sample in dataset_selection.items():\n", + " if key == \"caption\":\n", + " for caption in tqdm(sample):\n", + " caption_tokens = caption.split(\" \")\n", + " if caption_tokens[2] in action_key_words:\n", "\n", - " information.append((epoch_loss/len(saffal_train_dataloader), optimizer.param_groups[0][\"lr\"]))\n", - " print(\"Epoch: {} - Training loss: {} - LR: {}\".format(epoch+1, epoch_loss/len(saffal_train_dataloader), optimizer.param_groups[0][\"lr\"]))\n", - " scheduler.step()\n", - " return model, information\n" - ], - "metadata": { - "id": "Xllczl5lYAPk" - }, - "execution_count": null, - "outputs": [] + " inputs = tokenizer(caption, return_tensors=\"pt\")\n", + " outputs = model.generate(**inputs, max_length=100)\n", + " question_answer = tokenizer.decode(outputs[0], skip_special_tokens=False)\n", + " question_answer = question_answer.replace(tokenizer.pad_token, \"\").replace(tokenizer.eos_token, \"\")\n", + " question, answer = question_answer.split(tokenizer.sep_token)\n", + "\n", + " questions.append(question)\n", + " answers.append(answer)\n", + " input_ids.append(sample_id)\n", + " else:\n", + " questions.append(\"Is there a person in the image?\")\n", + " answers.append(\"Yes, there it is\")\n", + " input_ids.append(sample_id)\n", + " sample_id += 1\n", + "\n", + " dataset_selection[\"questions\"] = questions\n", + " dataset_selection[\"answers\"] = answers\n", + " dataset_selection[\"input_ids\"] = input_ids\n", + "\n", + "\n", + " return dataset_selection\n", + "\n", + "saffal_possh_df_processed = create_pseudo_questions_for_saffal_possh(saffal_possh_df)\n", + "print(saffal_possh_df_processed)\n", + "\n", + "control_net_deep_fashion_processed = create_pseudo_questions_for_saffal_possh(control_net_deep_fashion)\n", + "print(control_net_deep_fashion_processed)\n" + ] }, { - "cell_type": "markdown", - "source": [ - "**Training a model for Saffal Dataset**" - ], + "cell_type": "code", + "execution_count": 10, "metadata": { - "id": "VgNBleRlZlKi" - } + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "P3dxkODty-Vl", + "outputId": "dd7d8e78-808d-4038-c6df-713c72ff0028" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Dataset({\n", + " features: ['images', 'gender', 'pose', 'cloth_type', 'pid', 'caption', 'mask', 'mask_overlay', 'questions', 'answers', 'input_ids'],\n", + " num_rows: 200\n", + "})\n", + "Dataset({\n", + " features: ['image', 'openpose', 'cloth', 'caption', 'questions', 'answers', 'input_ids'],\n", + " num_rows: 200\n", + "})\n" + ] + } + ], + "source": [ + "from datasets import Dataset\n", + "\n", + "saffal_dataset = Dataset.from_dict(saffal_possh_df_processed)\n", + "control_net_dataset = Dataset.from_dict(control_net_deep_fashion_processed)\n", + "\n", + "print(saffal_dataset)\n", + "print(control_net_dataset)" + ] }, { "cell_type": "code", - "source": [ - "model, information = train_model(saffal_train_dataloader, num_epochs=1)" - ], + "execution_count": 11, "metadata": { - "id": "eePu8scwZHn6" + "id": "ak_doWyi8cZs" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "saffal_dataset = saffal_dataset.remove_columns([\"gender\", \"pose\", \"cloth_type\", \"pid\", \"mask\", \"mask_overlay\", \"caption\"])\n", + "control_net_dataset = control_net_dataset.remove_columns([\"openpose\", \"cloth\", \"caption\"])" + ] }, { "cell_type": "code", - "source": [ - "import pickle as pk\n", - "\n", - "model_path = \"/content/drive/MyDrive/Hvar/saffal_fashion_model.pt\"\n", - "model.save_pretrained(model_path, from_pt=True) #saving in the drive\n", - "\n", - "results_path = \"/content/drive/MyDrive/Hvar/saffal_fashion_model_train.pkl\"\n", - "pk.dump(information, open(results_path, \"wb\"))" - ], + "execution_count": 12, "metadata": { - "id": "PdbvNJ8CXXIJ" + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "0tn4Sb0Z80Iz", + "outputId": "72e4d929-46fc-4ed1-966d-572e67cef366" }, - "execution_count": null, - "outputs": [] + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Dataset({\n", + " features: ['images', 'questions', 'answers', 'input_ids'],\n", + " num_rows: 200\n", + "})\n", + "Dataset({\n", + " features: ['image', 'questions', 'answers', 'input_ids'],\n", + " num_rows: 200\n", + "})\n" + ] + } + ], + "source": [ + "print(saffal_dataset)\n", + "print(control_net_dataset)" + ] }, { - "cell_type": "markdown", - "source": [ - "**Pusing model to hugging face**" - ], + "cell_type": "code", + "execution_count": 13, "metadata": { - "id": "IXNkTzVfaHZC" - } + "colab": { + "base_uri": "https://localhost:8080/", + "height": 529 + }, + "id": "ao9xvSJM9PW6", + "outputId": "0f16ecfe-3690-4d55-e2f6-82f3b9bd59aa" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAEAAElEQVR4nOz9R5NkWZYmiB1y731EiTE3ZxGRkSySVEZm0S5MSdc0ZKYJCo2BzEhjNQKRWWA7AuxGBCIQ/AcMNliPAANg0UCjMT1A00l0d1VWdXVVJa0kEZFB3cOZcWXvvXvPOVhcVXV1MzePiMyMdA/394mLutrVp0+fqaqd7x72HYQXDIhgBvfu3UkpEZGZrdbx6V7YOayvJ1/hw+u85Pj1AZ8U6yeeO8O5dSK6uG6oqmpozOycQwFVZUDvvQenqt65pmm+/xff+2f/7J+9+eabiunug1udNIjonItdms/nRlhVlRmKiKiamaqqqnOuLHwzmZmKqhJRXddVVYFo0zQhBCJiIuecQzKzGKOIEAEzE7mtra1vvf6tv/W3/tbr3/zt8fZujEmJHZdceAWKoKYABGoJQJ/w/n9M/Kq+P5/291BVN19o/XKXve65P5CPvLxP+j18Wn93iJgvFRFVFRG3t7fN7Bf+O/qMwj3tC+jxJHzaX8ePaf3PrT9cNCoKDwRd182nM8++KApLcnJyIk26efNmjPFP/uRP/sn/+7/72Y9/0nXJFRRjbLom23dJ2nUdOk4pmWFKKYkAgIjEGAGgWZAHUkkiEkJgZmYWURE5PDwkouB9URRVKJgZEZkZ0ebzObMHgO985ztvvfXW3/47f/RHf/T3969dny/aJs0dlEBOTIE4hNDF9Km+w88mnrXtTo+nhZ4Anl1cZoV/sZN80lc5t37O9C9/BACjFKOJMTtEFBFGHAwG29dGJycnf/on3/lH/+gf/eB73zezwhWzs4ULKEmbpgEAVe26ThEWiwWzTymZWTblKqJmpoDOqwoCEFEmAMVkZlVVISITEVEyFTFVFRFEOzo5BtHhcNw13bvvvns2Wdy79+A/+wf/i70rV4db21GtaVtkIsLYdZe6VM8vPnLX3+PFQU8Azygu2uUnm/LLHv045PFxOOCxNAAAKaW27Zi5HlQS02QyKZzf291dLBbf/va3/9H/4//5s5/9lJm8D4vp7PjseLw96roub/ABQFWTqYiEADFGM3POMbOZZeOkJs45z64oihyyy+Gjra0tWAXEzExEuq5T1Rhb733Sbjo981wURfH+++9+8MEHh8fHf++P/uh/9Ad/k9ibxBAGzG7ezn3xYv0JXLT+PQ28yHixvv2fOfxKnIBPevLHrq9jx/AoDSBwcAUAxDYxYBWq+Wzy1ltv/dP//r///ve//+abb4hGUzw+PpydTQQklJyzL9nQF0WRI/6IiEoiQqaWNBt6QkeARVGUZUlE2WNAxFCV+SnsnPfeMZtZSimlNJtNBoOBdPHw8LBrkvc+hKLt0j/5J/+kjRHZ/8Y3vjkcjziwgTn3gn7/e+vfI+MF/QN49rFpfD8ODfxiHsAnzQFcfKjrurquu66bTufb4+HOzs7R4YM//dPv/It/8S+SdKFwbTebTKYxtfUguCKEovBFgFVWWURSSqrati0AZFbIJ3fOhRBi1+YMc07zEpH33nuPgGtsPmswqADACimKomtiSoLIVVXNF+2Pf/Sj0Wg0HA6/9Vu/aZLa2Lng1cBeJBu4afE3aeBFS372yOgJ4FnHL+kE/KpyABcfyreapJ23SToTWczmx4dH3/2Lv/yzP/lOii2AisSua4htazD23oupARL7nC2wJKqQI/neq3Ou8ME5F1PXdR0RecdNq1EStW12FLz3HjwiuhByrjjG2Lat9945h4hF8LPZRKMOBoOdrXKxWJydTdq2u3r16tHJ2V//9Y9eeuWV8fbo2vWbiCgR0b+gfwK9E9ADegL4rOBT2qD9YlVAm3eYeTafoEFR+MPDwz/7d9/5N9/+9htv/hRUUupEJBSeS59SOjs7WbQNu4JDkTfsDJi3+czsHHnvy1Co6tnktGmarmm7rjOwGKOJ5krQ7Aqoarb73aLJAaUcJnKeJIV8bdPptOUuR5nM7ODgfozy4P7d7/3VX169tr+zs7O7uzttWnyx/wR66/+C44X+9m/iMgv7q/oL+VVZ8Mv6A8690MX+hsdW9Tz2zmPXU0o5EN+2bUopn1a6WIZiMZteu7J/fHz8f/+//l/+5E/+GNRAbTabIRoxiogaGIgPzH7IrmijpShEBGApdTFG731VBE2iMRZFkbpY+HBj/8rh8TGya7q2bdulWZ/PPDvvfVWUdV2Pd7ZFZD6Znp2dnZ6eEsO1a9fKMjjnUtvF1Bo453xd1113UpZhMKx/8pO/fv/2+6L6D/7BP/CMxiAKbdvu7e0tFou2ba9cuXLnzp26rp/8/v+S+LQt78c8/0d+Lc+d55Me/8xis+R//RfxAsbBegJ4pvFJI/sfuf4Rdf2XHGxmRBRjXJVaYv47d875wONh/b3v/9Uf//Ef//CHP+hiE9uu65q6LgENQM3MNIkggAJwjBKjqCozAyIA5BfJlTxgSkQgGhzVdd2ldDadrbPE2QMoQ1FVlWfnnCMiIhoMBojYNE2S7tatW1eu7O5s7RphO2+bptka7+zsbO/t7f3sZz+7f2e2vbfrCP7qL//d3u72l7/6NXH+yv617e3t4+Pj7C4cHh6Ox+OUXsT+gB4vGnoCeHbxy8dnHrv4hLr+xz4333rv12WaOYIvIiDpzq37u9s79+7c+cu/+HfHx8eOsTOpqsI5Z6CqSUQELKmImmjqksQEaABA7JCIPLNn550zMxCxJAhaFdV4OELEs/ncEBUAARiRmX0RfBGC85mHQghVVRV1NZvN5vNp6rr5fC4xee/ZSFUnZyeL+XQ4HH/hC59PST68e+fu3Q+Z8Rtf//qXv/Ja4Ork5OTatWs5yVyWZdu2g8GgJ4AeLwJ6AnjK+KRJWrtk/bLjL3vosrr+y4hBRJaVl8y5aKdpGlRJ0h0c3r1771bbLsoyeM8xtkSUJJqZSEwpxRiTdCklUUrCSY0AmRmBidA5lwt7zAyI2KFzriiKqiq61NIK+TJSSjk/LDERkflARGVZ5vBUUXgCmE7PYtt578uyTCnNp7OmaVRBRKq6funGDSJ646c/+84f/9uvf/P1r3zj+vsf3quqajgczmYzERkMBvP5PGcpevR4vtETwDONT8kJgMvr+i/zCXKbbt77p5TatlVVBtjd3vof/tW/+Hd/9p3p5LQsSyUjhOnkLJfti2lKKbsLqqagiA4hR35MRAAxRiAi74gBAYCRArsyuOAcAZosewIAQMxSSrZYpJQI0HsvpeSXyJWgVVWlrhsOhzgA55wDRLS6rsuyPDs7adsFT9zW1tb169eSyXe/91f/x//Df/2/+a/+ty+9+sWUUtM0VVWllLKv0xNAjxcB9LQv4EWHPRHrY84d/InWL97ZhKpetpiD7+vnZpveNE3XdUtZHk3//s//7F9/+1++++47zNQ0i+Pj45wi7lbIZf4AhMiE7FzIYg9mS82frku5nifGLr8cMTjnCFBVReLmFa6e0q0JLHeHdV1nZswcQvDeA0C+jKqqQgiZhMqyjG333nvvTc5OXrp+rXD+z//8z//hP/yHRVGEEI6OjnKncdu2ZVl++p98jx5PHz0BPOv4JZ2Aj+SAiysXKSEzAREt6/fNUkr379//0Y9+9I//8f/r3XffDo6qwhNobBdd1zhHGxt/VTEwRCAiZ2ZmCKuMrvc+hLAWessvgYgEiGhZMy4TBgCsCQkAFExhdf0ICpZjTWK2JqoYo3OOGdt2cePa/mw2WSwW4/FYVW/fvi0Sf+NrX/mzP/uzf/7P//l8Pq/rejqdmtmmRmyPHs83egL4bOAyk/Qx15/AFva4yM9F2miaeYwtSAJJ0rXTk+Of/+yn3/k3//ro6KgoCtV0fHyoqi6Etm3PpjMxFTUVEzUFFAMFNENLYhoRjJlCCFU5qIeD0WhUVIOirn3hsnuApAZJLVZ1URXeMwIurX8+1bxpZ4tmvmiars0iEF3Xzefz+/fvE9He3n5VVYuma5qmGgxvvvzSwdFJWdY7e7uqenZ2lunn8PAwzRf/t//mvzm+d+/ll26enR6b6Gg0ms1mq3fo4R8IWs5d9+jx/OCFywGsiw43t8DwMfTQPyYuq4K+bJ0f1dn/yJe7aKkvPnruV/tE62QEAGAgZgaiZvluUYT5dMIIVQinx6c/+It/55m3qmI6PWu7WZsrRLsOCNkHTRJTq0hAHgAUEABUDMHYUu2cCz4rvmVhuOlkXlbOe2aywcDX42J7rxqM2R3H7WGpKS60A1HnHVPJLjjnckZakZouqph3rMTMOKiqk6PTM5o5R+j8ZDpvO62qYjDeEhGJguQcOUVYdBGkfeXlz7/3xk9/9t3vbg+qG/v7CeDu3bs7u1eapsmuCGUdfAPCHBZbytSd08d/Wk7Dp113f+4P5LNS5t/jY+KFI4BnE7/kBv/cQx+HFTbvPLLfFwUABQMzsSUBANjp9HRUD6oyzE7Obt96//7dD08ODm/f/VBiu5RyQxRTjRqTpZQUCQAMCQA0ky4RavLs0KRrVKEDZA6+LKsQPDIpqsa4WCRxGnVQVm53e3h89CFaCs47h2rYJe0WC0UajUbE7JmKEArHjhhMzaRroqoiiqoHABFNbZNMjVAVBJbJDEI0M1M7vnfv5pXde7dvSdu0i8ZX9XA4bJpGkRCRAQyITMly5vpyJu/R4zOIPgT09PGE+MzHX79o389b9gv37dE07zLAskRcZl9Vc/NXzotOJpMcLv/iF794cnJy69YtEQMgZEImW0lyisjFqwVQIEwqXVbvBzNCdt6HEMoiIycDEJHZ1/Vwa7zDzN77oii893l4U4xRunY2m02n08Wizd0JsCwrsq7rcolqTlbHGJummUwm+bdYF7OupwvMZrOqqn70ox/NZrPc58x46R/FCyUb1+NFQO8B/JrwSWM7n3T9sh395u0mQ+QqmnOssHGGPI4lewQKavWgmk6n87NTR7y9vQ2i86ZJKbEnQIA8HFKXtTnMnCynaAVy7ISW3cOzrisc+6Ioisr5kDsAmBwRlZ7AEZOitgyERgRc10O1RYqWUjRRNHWMxH42mSJidE3qIoy0LIMjBoDcXZxLj3JKOf9qzrnVzMiHQIdF7U5PT48mkzt37nzxq1+bnp0au+F4tGg6w1wJqgCgCAQbXRg9ejwX6AngmcCvygmASww9XCCGywgAV4cJmJmYZUNuk8lERKqqArX333vnZz/+yXvvv+u8FxAxTVFjJ10SNUUkIkpJAADUDAWQaBk+RvTOvOcykPfsPZBTpCwCkWc0IyZUTZ1oMlDw9LA0aCn+jAhoZeGXLstKDTQ45x2RQew6W2lHryuImqZZb//zG+KcY6JyUB4dHdXD0fe+971v/c7vFs7rsm4VyBQQV0Gfx8wN7tHjs46eAH5N+EgPAH45GnhsqOfi7frRSwlA19Z/6QeYKaCqiKSOiNtmfufOnR/+8IdN04zG467rOum6NsUYk1re5z9ynWqGy04uIKoHAyBMBtI2Tdc5DsH7wnFRejSwJIpGpo649EVVFCZqoqbCYN6RJmwkpk4Hg4EZmlke/7s02eiKoszzYbK5X5NHnkGWmS93sZVlyc5nn2AwGHzve9/7vR//+Hf+xt9Q4unZJJRVvvzs3uT6H+2jQD2eL/QE8Kzgl3QCNm/hkvrOy3hi02NIKgCQ9/55i42mAFr4cDKfns3mk9OTk5OT0+nZ7t7e6XQSJXYp7/1hOc4XUB+9NjRFA0JSVOQiqaYUTQQNg0tspYAncA6MCB2zw6J0nhU0SV0Vi0WLkiwmBHBgDkxUY9M4H4pQLqfBaM4qGBOh96Eo2q6TrhNVy5eBmPUkUkpt18WU8gpaVw8HXYyHR0c/+tGPvvaNbwxGWym1AQA3Mr6GoKAA1qfNejxP6L/NzxYucxQ+/vqmNT+3+GSfYLnnXyVLlz1cKqrJRNtuIV2cTyf37t27f//e4eFhCGEymayfnrO1OYt72RUyYNPMu9jkbjIAIzCwhNJJ26BEh1CHUHhHBov57OzoaHe8NSgCmKS20a5jkIKpDtxMo3ZdICwLX4YiOO+IiUjA8pXkcY+6SmLnwv+1kl3OD+eIkHN8enbsA9+7d+fg4EFMbeEZbR3z6YM/PZ5b9B7Ap4VzG/Bf7OmXnecJAZ9zP65DPRcfXZ9qs/UXyExVVEGzgQYVFdXYLhaz+Ww2m84mh4eHbdseHNwfjOp500axLPWggKq2Ig8gosLT+uWIQNHAxBEjoaSoMYlEdnXlvAd1pOPBoHDI5GIzP7p/bzwcJMPhoNrbGg+K0HZpPp+Lqie8ulscnbQPZgdXru3sbO+KyXx6tmC+sr97eHiQUhpvbw23xgcHBzHGLPRmhN77oq7IuxhjJ+n45ARGQ2Ta2dtbLBbvvffe22+/ffOVV0SEzRiMmMwyi6QshHcuBvSRn29fON/jWUZPAM8EPunGHy6v94dHOeMyAjhHIWvocuOvZsoGSZOJmkSJCUCbdnHv3r3Dw0MzY+bFYpFEkSjL76wKgRQAsh+wKSWkqkbICATGpEyAjjyqk2TtYjzaCUyUGkIOzKVzlSfPVDh/ZXvsQBeLRdfGxbBq25gUzLB0ftFGSLFdzIuqLusCCE9PT7Ic0Gw2y5puRNR1XVYbjTHmlID3XkRAVBGiRlavql3XnBwdnx2fFNUAsncgCIQAy9SxWd8I0OO5Qk8ATx/nDPeT189t4R/rAWwuXiSAc89d677lH8WybqeYmampJk1iEkVEUjo5On7vnXfv3PtQTMjxdDpH9kxEzpmZScwy+ojI8PCcBLkE1FTVNIFDx+Q8l5WvvB8UoXJuGMgRVJ7qKtR1Oagr75kc+1BUPmxVRa76b2O3mLezpunaNCyqWddNZ/PYLAofOAQ1SG3nirDWDjKzHPpHxNyj8OgQ+eVU+pQSIC0Wiw8//PDg4ODzXxqLRERFsmVrdK50hct7BHr0+AyiJ4CnjItW/qKJv2z9I3f0517o4qN2rhfMTExz/5eJmokm0dRJTIQ2nU7v3r17//79s7OzEAIAEBE7j1n5OY+IWWGt2sbMjrL8p4kmRiDSAqn2NCzDqCoHZVE4h5LqotgdD7e2R4Oq9N4TgSGV9cj5kGTr5ORkOpktFosznpJKg4jki+ACu6YTlRjblr0LIUxmMyIaDofe+9PTUxEZDoe5KjRfVUppmahgipJY2AAIcbFY3L71/uGDB9/4xjcmswUBSNY/IDIEBDQTwF4musfzg54Angn8Yk7AOSu/adzX9vfc2c4dsL6//BEg2/5lSU0u/oxRYvKODg4O7t69O59PASDGSA5DVbIr2ihd14kIAyI5XL5QAgBGYlpW4psqqQzqgi15pMAQQJ2K086p1CFsD8rdreF4WBeF98EVReFDMd6+4otSk5yORicnJ5PJpGLnwJLCrIldshDKyaw5nc6SWghbi9i1sQMAXwTvvS9CjLGNnZkBIXu33PKrMLNnZ5rWKjeLxeL27du3bt3KQkD5nSHKRIC/aDanR49nFz0BPGVctOxwIb5/cf3cLh4eZYVN475uhd0097ARnd8MASmImiVTyHclWUqpiymlxby9d+/uwcF9EXHOpZRE1JchF1nmkqFs6zMBLOUWkNYnJ0RH7CwVDKV3pfd18MPSjaqq8rSzvV1XflSFQODJyoL3tkfD8XY1HBM5SVYHHlXhuPQOzDMmxQfHJ9NZy4atQ5CUVFXi2dkZeRaRo6OjsiyHwyEzn56erhWnYeX3ICKiETMRrPwfOzo6euedd959990vfP5LQgBqosqUD0UzANO+dq7Hc4OeAJ4VfEwnwB4XCDp3wGW4qPxzfh0tqqgKaCYAkRhjjKmLB/fvnRweTafTlBKSEYMapJSSJDVcSvnbwwtbai1kEWdJzrmqqoal9zIbVX5rNN4a1IMiDKswLIq6dIOycgzM7BwVpR8NB1vj4XA0oBBSFGQcjwZl4R0jAdZ1OZk25LgsF7OmU8MuymzeZs0fUMwTvsysKAoiKopiPct+kwbQlIkMQUS893VdxCgPHjx46623XvvyV22V1SYjXGpMYK8G0eN5Qk8AzxbskkDDxfXHegnniGF9zHqbv2n3VxBUMBNUNDRLAqCQdDXRPYqIaDw6OpwupimlLkUkI2bL1fTJnHOFd6a4loFjAgVgAjIAEAIZeLc3qna36gqqnVG1t7s7GtSlY89YBV967x0BABF476tBORwOQ1EYoXMuJgOEsqyremhAalgNRwYPyno4GrbH02lZzovg7t0/uHN4OBptHc/mXdsWviCiyWRSV4Pdnb0HDx6oGIA454LzRBRjm1J+cyBZYubBeLiYt13XHRwcoEdMqLnkxwiAAIwB+u1/j+cJLxwBIIIZrIVlPvr4S9YvtdSPHrA+7Jxw/GVP37jOZd1hjuFsPFE2nv7QxK9uV+INYAAGgEgkYmqoaphPK8lUaRUayoKfYKJiagYxOaIYU2wXBMYIsVs8eHDv4Pjg8OhBmxpkWHTJAJxzBlAGJgBVJebCeTEnIqKpYJK20aS1x/EgbA+ra7uDKzuD7cptDavhcFiXRVFUReEZl0JyzOxCKIqiLMuiKJCDGs/bRD4wcyKnqq4aj1xZpYRl3XVxPpkOptVsMB0FcHECKRy08wCCjg20a1pRC74i5wejcWy7rmsaWYCXIriCKZCPURiJmBeLRVS9un9dNN68eeP+/fvjra2yqmNKIkaOGCim6J6S/X9a/QREzyfhrd/PTZkp+CUadz6jeOEI4Oni42/wNx967KMX18/FiFZMwBcWN6NCy6p/FckLKGpqEMVyNah28/l8Mpk07byNXUpJYCnsY8REENzyKxRFkllSRQJPmFJnoiXBqHbXtsf7W8O97eH2sNodFaM6DAZVCMGHIoSQGc4XFRGR83lO5LJSEwkdo2NgD0RkwZEU3nlVQEopDcpyUBfTwjtM7fR43laL07ZTNOkMTA3EbLFYnJycrXqDSwRdFoaaIcDOzs7R0VFquuFwqKrzZnZta/u1r722afgQGYyW/3r0eI7QE8CvD/ZosP7J648N6Tx5/bH3wcxUVgN0Nyx/jgWp5ApOVQVNppjXs3IymjZtMz09Ozs5mU6n8/l8Lb6fhTbNgIiyFnSuqQczJvaOF4uFNxhUbn9n56Wr+9eu7OyMhoPC7QzLqnRFWWdhhhACkDOzoigQEYiXyYPVdoyJYD2LisgxOSjMLI+MHxRFXRV1UTrGrlkkcg2cCM3RpFMDAO00ds30DLa3t3MyALLMkUEyYoIsESGaUkpRtarrsiz39va67qGntemNfQrfix49nhp6Avg14aKVfzINnDPxm5b9svVHLPujj66rQlUVNpMBK+svIqBiZiKWg/6qCUy6rpsvptPpdDKZNPNFbqQiIiQiImAwhdwDoKYEiIQOjFRIYVjR1d2ta3t71/Z293e2tgeDMlBVuLLgUBTrofDIfv0m4HmslCREBQDXOv6IWdVHVyziHCFiGI7V3/EHx3dBp/OmMTPPSQ1S17UL5wvvPaBTkQTAAEg8nc4Hg0E9oNlslqs/VfXo6GhraxceGv3e7vd4PtETwK8Vv5gTsGn3L1u3SwDwsNCTTNFMMhksg/9qZqAJVrEgUUmSJCUzNZW2bdu2jbFdb/+XkRlyy72/ZYIBAiICBLOUYmrGJV/d3X7l2vWbV7bGg7J2VDmsQgA0JJdZJLsR5BwAGNJ6kditDb0SKSLkqQSqOV6EiEVVY/4VmIPnwrF3rh6MsCjKuma0u/cPcLYwETNIZs1sFipFRGSXZxQTOUAS6YjI+UJEkpmqzufzs7Oz3d19yHy5ER3ONa6f1pejR49fO3oC+DXhogWHJ9LARSt/7vbcum7o+z/qBGyU+W/WgK50e2S5518SQEpJJIok1RS7dj6fNs1cRDQuZ2w558xYAchAzBAcEjIbqOVAE0pihWt7uy9f23v56t7ucFB7CoQe0SEYwnocIzOjWxZlIjtYeQD5TcjaQR4LQlAkQ6AVSWQPAAAkX5V5V1g9UAP6vOe6LDwZgeGDIz2biiQRiXkUDLILoECISECGNBwMmmbOSeu6BuYYY9u2a03TbPT7yE+P5xU9Afy68TGdgM1b+Bg5ALjAChmoiqqo8nBJBWwj7i+SyzdNkplpSioiMSXpFtPZ9OxsMZunlMwE0ZjZOadKppqnh6UYPbNnJxAtCoKWwVfOv7S/d313d2c8HBW+ZKhDCB4JzfLWnj0yIztCh8i60tg0WBbc50atzFOGYIjr8NDyPjCSAbMpmwEa+MIqVXbmGRiNERwBgeJkMe9k3kYVJ6kDYmQPSGqQFBRRVUEEALz3PoSsGsTMucctl07lt7j3AHo8Z+gJ4OngnPV/wvqmiX/C+kf6CucWRcRMYJUDWBcCZTdALcXYNe18Pp+2bZu6iIgMaMSOOcFKGMGoa+ZUls47U4wSPeqoHO6M6r3xeKsuKu8CUxG4KkNwDtFktYVfx1XElpJtiAjrKFAe54vcpQ6AgICQsznOyK1nQMbMJgqayDlikJP51rBC241tM5/Pm6aJYsyx6RZoAiImCcjh6k2bTqd18M4XXdcp4vZg4Jw7PDx87TW8yNC9K9DjOUNPAB+Byyz1Rx5/bqv+kc/atNdw+cjG9QnXGg/rwA48ztxLSrDOA69mvagqgYqqxGSacuZ3WQ4ksWkWKSXVlFJq5ouu65yn2XSqqsRu3U+rADHGoig8u9wW7BHGdb23Nd7bGuyOB8OiLB2XwTm0lDrPEEIg7xUIsgV3Hojz2dZ7fzOTLLyJgLhUlkZ25BiBVq/u0XkDJUOHTklVzGMRPLF1xDgej4fDYT0cVYOhe+f9+0enQG7WptPZJE6n9Wh7ON7OO/3hoHpw98MbN18OIcyaJi/WdS0i462tqDadzYhCKIqu61JK/pJGgF85N6wVitbfkF/t+Xv0gJ4Anil8fLcAHkcwj934w6OctFpcZQA0red/5ei/LQNA0SRK7NSSgZhZCKFpW8jyCCnXxSAhOiYzkRRBUvA8rqvt4WB7OKi8K5g8k2NiBGYkImRnjw55h5WNW4s24yrak68ZEc3EDE2ACMmQya2GjhGAGpCZqSEYGdB4e6trG0S8cuXKeHt3b//a9s7u2+/ffuud9910oQZNMukWk+NUDYZ1XZOZ934ymdR1PR6PReTg4KDruqqqRKTt4rJOVAQAqqpKsf1VfNQ9ejwT6Ang6eOiEX/C/cda/Isb/4f3QcEMctlPFkHLks9JVGK2+6ZJUpKURERVUkoSY0pd1vhENVQtioLnc8lq0QqGy7od733XLFTawLg1GOxuDa9sj7dHdR1CWfjC51QvkENkB4Q59I/s8t4fEQ2W5T+IqECW57CbAbEBoAFgrl4VM8wuCDPr8rfL0XkC5JwqIBcwRiStynKrqKrB0IVid3d3f3///dt337115+BkcjZbzGdN7JrU1tWVK/v7+0nMzMbjsQ/h3r3DN99882/9rf8oZYU7ZkTM8yN7AujxnKEngKeMj9zIn1u/eNg5nO8D0Ifr69r/ZaB/jYceQBKJSbqUuq5rYmoBjAjNyDnHRCklMiYyUQMkBlwO9TWtq2p3a7i3szUa1oPClwUHR4xEREAAhIKASIy8GeU/14j/yK+mCgCgmgtM4dHkwRrZYwAgBADgNnZAjj1FsXY67ZLsbI3run755ZevvfuBc87eed/MPHdRtJ1NDkxeffXVelBPp1MRuXHlyv37R9///vdPTk7qwaAoCnn4NmnXdb/qz79Hj6eJngCeFaz37E9ef1w855EfH4uL9f6rB5JtRIFERFOyJCmlHPJmQO89OyzcMvpPRIxgoIpIBKKJQIsy7GyNr+ztbI0HRSBH4AiJ8gZ+6S4IEigwLcM+iAhIuIoI6YbIWq7ThxUNIGIeOobMRGRmYkro1v1ZhgBsCADoVBL70kOuZ+3MrCp8VVVlWX6FSGIXu9YkLgJHoy6mk7PJnTt3rl674Zw7OTm5+dJL+/v7k8nkvffe+9KXvzzaHswXi5RSjgJ1Xee4zwP3eH7QE8BTxhP29U9ev2ji14v6GMnPh60A57BOAGQPQFMSiSl1KXaWEhH5wKpYVZX3LnaCiKiGBjl7G7uFIxiN66tXtnd3tgalC0w54p+vR1SR0MAcrKZCrkCrHAAR2ca+Hh923ioSEQPnMzIbMiKaIrplzgAyUygAQR5ErxrFiF0YFJVJbJqmbVsHeuPqlaIoYoyL6ey927c9YFFX1WB4fDqZTqf7+/snk8n9+/eLYjAej05OTrquW2fanXNEFGP8dL4FPXo8HfQE8EzgsXv8j7x/jhU2fYJz1h9N0Jb1nibJHrX7G4gSm5RiijHLAQFqLrjc2tp6cHS4mHeqKqIiysTMvJCuKPxoUG/vjEejYUHiCQpHSLYunwdiQFYiQBRV3phWlms9LUeKAAwJsnzdEkiMxA/VeGBNGHlIixEAIAMiGAASglFSBUvLRjOCGCOaFt55z1f3dl7/ja8eHR09OLh3eHwakOvxUIHMLKtczOdz76vr169vbW0xc7b466YwIgLQX+Hn3qPH00WvbviswB4X/7m4vmniNx9dGno1Mti8vYCHzcAiceUDpNW/KBJVUqYG0Qir0S6DwaAoCmIAzQ8lNGVCEnGEVRnqsqwK9o6dc6GoEFiBFbygN2BDB8iAbEamy3+QkwMbeJgecIyO0Xn2ztgZsgKKWs73onMIjMCr563voHOuLOuiqBCo6eKijUQ0GI3J+bPZtOnaq1evfulLX9rf32dmNLl961bpA4qeHB8zYFXUIYTdrd0bN26EEFJKiMyMSbqu6wB769/jucIL5wHg6vacxNdl9vcyXHb8ZfXgOUQDFwz3k8+/ufOFh5vQh10CAEAGZoBIopJN+7p0fFnar+lh36+ZmIpGkSiaknYp35eYpNHUxa6tyyARJbbZIksyQiTvRqPRgwcHi9nMF2FY1iKymJ3Fhajrdre2R1UpEj2jiEY1BfZWAIXYIQpwgaX3lQ+xVc8FYIFUMDnHDkw1KnhwzgGBgDF7YlaFGGOHSEgIbMjsA/rC0MUEVRXMDNQA1ACMEAwZ+eTw4P69e1VVXLu2711wnoloOj2jkgt008WCkK7duHn1+s2fv/OexDQqa226uGhffvVz7Hw7m9f1+PrV68654XDcdElNVDWm1hUl6KdOAOe+P5/0a/mret0eLwheOAL49eAX+7u9+KzHnud8LGjZlGsIkIsjs0Ib2aqQZuNIM1s6AaBmYmYGsvxnAmigKXUYY1zWaK4i4NkpMDN2WPjgmVQTEziCQVUNiuCcqwveHY+6po1NBIXj0+Pjs7MkUg7q0fagGgRH/PpXv5kl47o2StKi1BCC97wOGVnuUgYwQwWzBOQJCdVMopp2iiCAaRGdI+cckqWUjo4Ofv7Wm++9/U7XLt5/9722XXzuc5/72m989Utf+tKV/T0kJykpAqEjx977oijKslKBJJTm8/3dPQ/E7HxRXt+/eufOnfnZfD6YRVFjCsEREXHm3d5p7vH8oCeAXz02N+yf6PgnP+WxMZ/N+w8j/pcUBcEq+GOPywavH2rbRYwxh2K6rssacLJoY9NmkRznCVBNkyWRBMwcQuBVLf9kMrl/5/6td26dnc6Pz86SQDUsxzvDelg5Rz/94c+u7O59/nMvv/zyzb29vaLwBGi29FrQAERlOXmXQA1EmBwD5I24oERtY9LZZOq9n8/n773/zvvvvz+ZnKYUVfX9994ZlFUn3Z/+6Z9++//3r65eu/a3/85//Hf/3t/LPhMzO3aFD3VRVqFQBRU6OTkbVgG0YyzqqvjcKy8pYVWGEILFpITMXgwsSdd1hS8/6fehR49nFj0B/Ipx0fo/mQYuRoTWK5vxn3O3j2QCLhj6dbn/xspmB8DjISIqgoi5LDRrdqpqSkmXKqFiK3XMXBTfti0iEGBwvig9gJ6ent6/e/fO7bvTxdyXxdXqWlRbtPPjk5PD0yNGvI8Hw3pw5/btmzev37hx7eq1/Wv7V7Z3xkmEvRHRMqqTy/sNGBBS7NqubToxNsOmaSfT+WKxePfdd996663j40NmLooCCVT1W994/etf//orr7ziCjebT959993T05M/+eM//oM/+ANPjA6Q2RN7R95x7NLO1hAlQeqccwVDVRZbo+rlV79UVVVRFGIqhqv3/GEcr0eP5wM9AXwq+KROAFxe+gkX6OGx+/onr2TjDysKWAvAPdIBoKpZgocw17ogOgBQS0k6IirLclCWXdflEBOIps4GJXti59ywqi22zaIpiuLll19+/Rv7ZVmHomyTHJ8e3Xtw78HRg/l8mubpbDqZz6eHhw/u3Ln9yssvdV/+osoN7zmURQjBEAAZ1RCNDRgstc1kMjs7neZExsnx2f2Dw7/+0Y/n83mUhIhRGhT5yte/9vrrr//hH/6hL1zTNESwvTP+nd/5naOjw1zPQ8ygy2i3Q3JIBrC7PapLf3wy2d4Zh9IXDKfHx3/wH77UdW0Xm67rBMxjCWrsQwi//FejR49nCD0B/IpxcS8PHyOwc+7Hxx7/2O2/rXIAm7EdejwFPOIBbBr9TYDqMvcrAivRzZRSCMXW1tZisTg6OlJVZvbsEMA7R2hgCgBIVlfV4OWXt4bbpk4VAZm8u3bzxitffPXg6MHZyemd9+80k9mimUfRo6MTSUmTzCfTq1ev1KN6NBr5IhAjEBkoqpipxHZ2dnp0cNi2UZIeHh7fvXsfTNumQaIvfulLr331tZs3b16/fn3v6v7x8XFd10Comu7dfaCWArtqODg+PiZAJjIwR1gWxaCsWgSPWg6rycmxA6k8jQblbHry4N7dm5/7AjN5z7DhTvWZ0h7PGXoC+LTwiZyAi7Rhl4SANk977v45YngyLssEqHSeMDc9mUkITqIXESYYDevZcHhyfNx1XfB1EbxD0Jg8u8BOJUKSsvCePDPPFm0XtRN1wReDuiirq9dv7u3uv/aFr92/d+/O++8fPLh/dnLQzKaQkrQNmOx0O4xYw9AXeSawyHryAFlK3WIxByBEKwo/tPqrX/3q57/4hf2rV10RyHECODw6XsznIvfKsizL4Dz5wong2YdnIQRiMANgKn0Y1tXOeBQ770A90O540LXza4OXv/aV18qdnXfeffvK9Ruo5r1HAzWMUUwAFPsccI/nCT0BfLr4ONb/siMvo5BN0w+PYwi8JGfwcXgipeSDz/U/AJBHt2dfwXvvvTfR1EWsgIgIAU0HVTEcVA4pqTmkxWx+fHDiuBLFJqbZUTtrG6XkC18UReUqFbt286Vr169OT45PDu+bpLOzs7Pjk8L54bAuy9KcGqkBiIiCIkMoS1967pjZb3nvy+KVz32+rAezRfu9v/7hZD5zPrSxOzk63h1tVWX5yiuv7O3tisTRuNrZ283uTuZURvLeD6t6NBpp5wKaarp2df+Du/d3tobf+s3Xr7/yhX/yz/7l/fv3B+MdLgoOBZgDgOWIApNf5HvQo8cziReOAFY1k4+Ywl8A54TaP/I856z5+se1ZIKt5Bwurp+z2punzUGbx5n35ZGPVPhsFPycu5J1H5ZzromdqYTgVFOMeVauoMFiPkdTk1j6UPpw9ODAEzKRxKQxOa6EbLGYNYuWzDVNc/fewWTRvffhrbsHD9hTlzoi3BntWZLPv/zSzngUiF5+5VU27do5ETVNIyIhhEw/SGRmxqgAwlhvjwfjrRDKto3HRydvvPPzn73x1rztbt+9Q85Xo/FrX/1K03Wnt24d378fQvj6b3ztK1/5crJB07WDQQ0ARVFITGhWFn5Ql8NB5Uf1jb2tO3du7994+eDk5Pbt2wAagr92ff9nb/zk5c9/fvfq1dPpLPhiUNWLRVsU/ldl/vto0tPF5t++XXCvXxy8cATwzOKyL98v9qW86DSc+/HxdPKoUdrs0RUR5xxnkuCQYzTBu0DoCBAUdDkhXmNKmm5/ePThnfvTJk5m8xCCoESF0aA8mZxd2bnyzge33lN5+dr+YlTvjUbXrl4lUABomubs7MwXVSiLUBQcfKsdOS6GdZC4mC5OTw7u3Xtw9879n775ZtPK8clZqOuIGJh/9MYbg1DuloP96zcW08l3f/D9e/fu/P7v/96XvvwFEfHeMzOoMTMRl2U5Ho8LxhDC3t7ecDj8yte+eufg9Ojo6JXX8Itf/vKtB//+6OSkGm6ZgkIiIk/Mub267wfu8bygJ4Cnj4tbj8u2JJs/XrZh2fQALroOT3jW6q4CqKIaGBkBAKACakxtFQo0cMRFcBo7kOTLqvIuOL8a52KmllLqutS2LXl3dnB0685stItbO+NJ005ni1df/RIotl1XD4f3j44O7t+Dz796ePDgpRvXyjIYmZhu7+76whEReRYjdAzIwLPJYn77w9vvvP3e7dt35oum7VQJ929cf+eDD/+Tv/v3TifT/88//u/uq+xtjbfHo70rV8Y721GlTXEwHnLwRgZswIaE1aDa29sJjksCJALEL33ltZPmJ+9/cPtLr8/39q/W9XAymU2n08FgpKoI4JY5hB49nh/0BPCUcZmJf7LpP/fQOeNuGznex4aPPibfwDo0BJhS4oohT04nns/nIsYEdRGK4B2xQ1IkIVHVTlLuFWDmV1/d/fo3Xy9H1bu33yvr6p/90+/+7/93/+uj+/d/9Fd/EdimR4f3HzwYVeX7tz4cjat52ySVajAAQmDi4Eeh7iRNuy7GOJvNzs7OZrOZiJRl/a3f+cb2lasC+PMP7kTRa9dvfOu3f/u/+i//y2//03/67W//q8lidv369Z293e2dva2tERGt3w1VLctyd3fXM3nCqJYM9q9ef+ULza17907OTnfr8ZWr+wrWSRrn4lFRIk4i8Dh9pR49PqPoCeDp46L5fsL6Zab8kTsrM3eOGy7DY68qK0Eg2MMxAMzMOKoriRrbrgw+hJCzxIGdd5QioS3V3MqyjPGwGoy+8o2v/+7v/43Ds6OTxdnu3t7rv3X03b/+4c5g+J/8p//Z5OD+D/7y329X1ezsOPsQk8lEyXb2r+ykPTPx3hdVZU3nqa2KeliPtoZb+7ttFaqXXvn8N3/rd2/dvX88mf7P/v7/3JTe/Pl7r3/zN69eu/F3/id/74uvffH+/bueaTgeAWGXYl3XZgJEhihgoSq3drbQIDVtUdZbo63tnf1v/ebO//fb/3a2aHcAh+NtQcpNcIzOVE0TgvVVQD2eJ/QE8EzgE/kBFzfsm3fWBPBk63/utA/PvJEGyIlKAkTEoijQoPRha2vr5OgUALa3twdFsBTJgAmIyBGJkXMuGAwG/rXXXptHaBbdBx/eHu9tXb16dd7F/+AP/xAVLXa//fu/97XPvfJ/+q8X//Zf/auXru594YtfIJT7Dx6cnJycnZ0t2rYyDSE48o5SXVb+yn4gJrWCwnS+mEwXo8Hwb/zu59778N7xZDZt4m++/srv/43fTSn9/O2333rr7WtXd7/5rdf39/cktk0zY+aUhJmdcymp976ua4np+OBoMBxduflSNRrt71zhP/7To7PJSwhAyOS6Ls3nzbD2ZKAiLngD6cuAejw36AngKeNJtvhx6xef9Vi2uMzcP9b6n7/zKAcsPQCEtlsg4nA4PDo8BNS93V0GO3lwVyTCii3QwDkXkLomXrtyJWH4yZtvvffee9/c+9arn//88WT64Hjy+m988/d/57drx//mj78z3t7+wz/8w9vvv339+nWV9uj4eDadRUlmRkQhBCbvILLDoa8LcHHaaqtVMSt988Hb7+1e7UDBk/+93/7N8e7uh7duvz89+fDe3eHW+HOff7WsqgeHB2i6szvWJGJKRLlHDEDRscZkxFt7V4uyRva7V6/dfOnl+weHhyenAlZXpZktFotxNULEmGJRlbEvA+3xHKEngGcIl0VjLjP9lz1FYCmuJmBZ1MHMDMRs9ePG4mpoy6qyJSd+gQAUjMAAQABAVbu2zd0Auaa+qmtLTYqdSkRTVAE1ACCGAFQPwtnJ4WBr55WbVx4cHnzvT7/ji7Czf/XGzv7Z3Q9/9OdtwaTtYndrdHVY/t5vfuP+h7fzxEdEdBy8L5g9k3fBw4IEkmPy3vsihBBS1DnH6eTszv0Hg/GWcfj5T384mc7NhEA+/7mbL710w3vftm1VlCG4lAREUkqMtFY3Uk1t6kZ7e1v7V+ddZGLY2n71C1/6+Qe3Dw8Py2o0qOq2jSklYAK1lGWB+hRAj+cILxwB2Op2/e+jnvDJqjPPbagvO+xjYnMXn7sEUFdBHlXbaALI5f35H2QhNUICSimhCYGagQESIAEykpjm+6vhLEY5fQDgyANDjK2YASAAmaGIjsbbk9Ozu/fvs3NlVc2b2W+//vWvf/7G3mjYLCaD2uWofTw58d4HVq4A02Sv9KP98Xy2aFPk4yNW2drZCRNgQoiJ0Lzj2JyNBtV7tz4Qke3tXVCUzgpXm1FEg8oDW2fAg/ra514J1fD05GR0cioie0nzvt5Rs3u1YueuXr1K3nmHRWDvvSMAMzBTs6ocIGi7aCS2BDKo/GA0tmI8R98pXL92vTudfOu3fvsHP34jzhuPRen89HgyurI/m88HgxFXlSCJ4VL3YjXPcvVRXfIJPqVy/77P4MlYvz/rfvtf8k/1M4oXjgBeHBiAIVDewC+hAMtB7QAKqMuSFrSHB1iW6xczNHuYAU4xrSuLloMBmBFxWNdgAmqOWF3wnutBhYixmyKYIyidG7hyXHhC571XsFHAkcsj44kYnHOI2M4XiBa8d0URvCciVBARUxLTpMqI7F2FNVyhsiy3t8ciojFFzZpF5Jwjx9WgIJd7lh0zrUcaAEDbtkxUFAU7bGZTVfXOzQGMfTEsQzUE5+vK7e/vh1Dm0cewmr2TnSrp9/89ni/0BPCiI5v49Z2lh7TCuv5HEDeF5HKpT0rptJl0s9MQwnA8AAAiKIoCAHg8BgCHzOwJGAAcB++9mFZV4b0nAldAttEiIhqJoCi8L8uiKHLVZkrJg8/Xo2bosCiK4IpRPVgsFrm3OYkAQJ4nA0zsAhGR48xPZpbn3hDRigC8CU3mi67rigid02IYtnfH3hcxagjF3u5+0zQ+lNn0p5SwXKYN8u1T+qB69PjVoyeAHgCPNv3ahkeMiEQrDlgJiOaiICI6PT0trZvPFiNyMYpzrusSIgHaYDBARIdMRKBohoSOHVahdJ6YkAjyAOE8mx4RiMh79p7z1EsDNVMiYiSXq/iTiCciJu9cdABgZg4JYDlaGADMhIhwNTgzE5YuJU4ZCQ0IyZErtY2LpptBs1VqVY2IfWrmLtBoa3zv3oOt7V1VAVSJHTGIRMRMAz16PD/oCeAFxWbQc9P6r1fOHZ9zqmuN6KqqiOjo9OS1l24U3o9Go1BUZRkWzQwBwLDrutIHH5xzjtkzMwMbITkkAkYixuA8M5qJmSAaO3LOEZGZ5VHGAMvZMJknEFA1T70E8mF5kciGYGYKaKCYFECXszFhSQJmFmPMgSFgJqKt3V1flvMILhWD4dZovMW+dC45F0ajrffevc3MAEBESToiUE0UvPWK0D2eL/QE8KJj06JtxoKyIUbEPGDMMW9mpLMxbWbTs9k8OGi67sHh8Usv30Bg1cSMpJCL7p1zznnvPQMLiPeMjExEBIEdkiVZprYRjRiRTDWl1ImImaSUAICIaBnmQUJCRM5daoqGKKqKy0Zfx4S2jNIsSU7NwGKMviwMue1SUkjJOsFFTMPxzs72fhEGKSmyV8MiVArGzDlwpKrMKCJEXlUB+Kl8TD16fBroCaAHwKOZAEDMIf51IZOIEEE2iGbWdR0AFEWhEj/48M72aCjpUFK3u7vLSCklRA7OMzskABWTCIyGYGBExI4dc/YDcnGqmYjGJQcQmploTKmLMWJKgISwDEyhAZAScZQERgYkagoohgaEYAhMmFMGpiJJRVVFDRFTVCP1RWlJOomJfDUcj7d3hlvbyWA+nXvvMQkRex+IyAgRQUTYEURzhEnECFeVsj16fObRE0CP8yVxmQM29a4zBwDAmgCybjNYNZ9NFGkynU8np2LmPGsDErXTjpHYLAF4byEE54mWLQhMlF9FVVQk5jRADt8TEZKZWUpJUyLDXHtjSVRUYFk1pJoQ2QARiYkRCJAdinVzsCVpST6viqiyL6OoY7e1vWPEp7M5u7C9c3W2wMFwFKN0XQyhMAQXfF3XwLT+fVdSd33wp8fzhp4APgJ4ie7/Zeu/KqxPuwkAuMwIrXO2ALCe+msrJZ9zJ4Fldpf00RKgfCdvnwEgN0yRgXOumc1zVUxRFIPBIKV0enoKALt7+x/e/pBAi7I+m853RgPvCklNVCVARgjOE4CmlAiByVHIl+GcI9C2bdu27bpuMpks2lbEtkfjK1euDEYjZvbeAwCjY8RE1nUxSVRxCEVMHRgiBWBHSEiGDAQAjCgogAAIaMYI5HIwyxcFEke10Xh7fOXmvOkm08aX24umK4qKXUBy3oX5fF7UFbMzg7KuDo+PvGdEE4nEJM9YIWhPSz1+GfTO7POGx1qEzT3+Zr73fDfT5afKVZW5UxcfasOxGiI7ZN/EdHx65otCRCyZSS6bfDh9PsfoZSmlQ6pqmjMN2DTNUl6U2XvvXbFMBafc6wamiMhIoKrz+fT4+FBTVBOwiCqm0SRK7GKMYKtX1LgccWyAiHm4MbM3CsBeyYMrqBwQe4Ac7Fr+LeQm6vXvzsy5HeJX8un06PFMofcAnhM82ZTnhx67ed30AFbuwsOHEDG7IcvgzAqZAICp65KxI4TmrLt778G3vv71xiaqCmgppYhIaEiWd+hMhYj4EHLtPyIhYkrp7GzatcmXRVnWdT0oy7IIVQil9z74UpFQBQyY2TNpJ13XOQJ0jBwIgEANSAFNhdhMo6SUx94bqiEjMjMjeSCH7JQ8kAPvnQmhM8JkqghGqAimSOiIWc1I0bugkumBnlpfb48enw56Ang+cc6UX3bAReuPiLnddYMPdHNW5SNUAdQkMXaG0Ea5f3iAjtk7UqcSNaVkwATIlPfgzjkgx+wQKKYICKrWLLqT4zPvfVFURSgdByLnXAghFEUZQhlFRdREGYk8S6SujW0jjgMWRgAGBoCgZCpmIJqD/52ZASGvNKoVCdkheUFSYCVyhScjBUNdqjvk3zSXLmWXJYSQUkIgMLQss9Gjx/OCngCeE+BqjPvarMMFy/4EnDs+E8cyDgOSK2rWjcE5KSoiqtbFZIAGqICz6Xw+b4pQqllqxPImXIhiB6DOkdfgmRHZDCWpWkopzefNbLZ46aWXXChyu1nXdUHEDMFIRFeiFExoAGyaYtMwMzhxBIBAWbXaSE1MyFTXHVtrhwWIEdAQgUiNVMyImT2oiCVCQAZDSCpAWFSlc6HrOjMoikqTETAaGVhfAtTjeUJPAM8PNk35xzz4Ig3gxYqgHMxf1eM753KTlIh0lpKKIUUVYi/a3r1790sv30yaILkUU9YOymF/CZlCWAUMTBU0pcVi3ratmQ2HI2ROSUUsJVUFU0hJIZmiAeTdNzCSQwITUwMzEAfmUBiQyRTNxGRDwgiIkJiNCBABmciR8wqUBAyAHJqamSkCMOXSI0Ssqir3AQBAURQpKWfeUiHstSB6PD/oCeD5xMqg47nFxx4JF6NAj5xkOWMyx/2997kQMzdrAZCYgAh5x0nff//Wa597GQC89yqdidKqKDPvynNTLmRRuahN06YkIRQP7h+Sd6oQ6mowGBX1gMkZTysKUa2ZnzWLafAwrr33bjwet82UCRgNLJoSokBO9wIpGAMyMZIBERIZ5R4yZO+QPbITAVMwINMEJkSOCAQkagSAsix5lRx2LqiCcwxAYAaPz6T06PGZRE8AzyE2Db1dsOnrOwisGAFgQzOUACRHOXA14AVAV2oNSAzOk3NLHR6JCZ1ntG7V/fvg8L6AJTDnGSObmTIS5tJ8A1QziUkxC1pbysKiIYQ33/pZESp0vLW9W9fDEILE1MRk3k8X84OD+2cnB3XhX755dXdna7Q1TqljotyWZWZmaooKqJTnWDIiAhoyATnAZX8B5WwwEq7qYc0MVqGtTFSI6P1yzL2ZMbOCGCoAA6peWojbo8dnDz0BfATOFfivDejHXP8YyBGFPJtA10MKchw+K7Nt3D6moDP/uCqvPL+uqmq4HBGDZCi5YdYMDAGZQMlMTcmQwFQVyAjYmwkagBOKwIzCAKiz2cQ5Rwxt2+5sj89mUwArinB6fObAvOd7hwcHZyejuuhaKbZG3Xw+nU+950FVGUKM0YUO87iC3KirQoTO8fXr12JMMcbF/OzurfcgtVevXkWS42NJYKNxuLr/alVVZeEBSUGr0Q5kCQkANUAkZCSghAyEawVsAiJkYN8lC3VRlmVgl0zAhBVBcqTIxyhEbjqdDgaDZA+q4cDIjs+Ob9y40aZ2e3sbAJJE9j6Hwj4+Pn5Q7tdznh4Zmz0x8LBo4oVz7/qM1nOCywwE4jntGkKgzfi+IW0mADCLaxo9wjQEzvHDLTSzqnZd53ApuO+9L8uyS/Fs3t768HaoB+YoAXIZyuGAfRCzXPsvEkWialJNSw04xhBc3sV3XbuYTefTs/n07PT48N7t9yG1wcFoUNR16RhFJMbYRgFkQDZkhVxkurxqIAQkJM7/FJ0gKRAQsw/sg4CpqidmJBOlR92jHOnK3c7rbMfSLjCo9WqgPZ4r9ATw3GKTEhAYgS/G9x8Lo/NcgkA57u+czyWSZtY0nXMupRRjdBx8KLuYugRv/vwdJCYXkho7X1UDomUjQBQTMVVISfM/Vcip5cFguL29c2X3ytUrV6/v37i6d60KdWxT6oSMPPnAgdERcOGKQTnI9xEZkfNvB8iITMjIPv8DckBsyGpALvii8t6rmgqgY3Kc3ab17i/XIOX073w+L4piXQyar3KzHLZHj+cAfQjo+cHmvn55C4SoD4NCD+8RICMqZuUEzLeoqz5fQDUgyCGS1XOzicyz2omo6zpf1e2iITUFbKMkg6p2739478O796/t7S5SEiNCVSAyAsK0MvkAlJLGGFcrmDMBVVEGX169evXKlSsxSjq0QVE6cqxgXYJlOxshP5zkBwCKgAgO0Wg1voDIsj4okAEiMfvgQ0Gu1KQC5tkrONHkgIgoM4Fzrm3b7N+0bTscDnO2I79QJok+ENPjeUJPAM8JNiOYaw5YFUTy5lzI82SwBCMmzAJBqoKQe54MlrNW8uhhJlbV3KbVLLqS2RSA0QBniwWgH25Vd94/+O73f/A//bt/p6wHpBJjRxyQIMUsBWFmRqvBugDI7BCcq30IwXtf18O9nStXdvdFzPviymgXPOc5AaKaUopN7BZdURSquUUAEBGIDAnIETljB4hqaIgAiMRAjn0BzguiAhqgrXzf9ZsmkgfadNkPMLO6rteeQS4P/XV+oD16/BrQh4CeH2zu/dcrF6z8+nZ1B3jziPVzAGAZYEFGJrGlflyMkYjKshSRpOKLAOQQuYsJ2SOFmOC7P/jJh/cOiYMLlQL6ULILbUoi0rUxRVnHUhCRyTPzcDj0vkBkTbJYtNPpXFVHg2FcNNBGL1S5MKqG43pQh7rwwQRUVSVXEy0nwyCTISqAGKqBGmRWAFdwKA2cKBgysFNDAVxLXmf5oOzW5FGXzrmyLPMoMe+9rPrgfv0fa48enx56D+C5Am70Az+6zoi6KfJ8gRsyHwCiAcq5c+ZnkfNEvu1mjM6FUsTaJjL7pu0cOSLH3s+axld0dKx/+ud//rf/x//hle2tpFBVJaR2MY+uqqIokKGYiHZtahZdbJOqnh6epqQAUIXi+OD0w+LDuq7rujazclCPR1vVoPJFEYIPVVWWg5PpVAFUDQCQQYGYGYkBGIDMQFUVEIGIA7MjF6IqiSIHJKeqioDOa2phpZ+KiF3XZXNflmUIYTqdEpH3fs0Q+sh706PHZxs9ATyHuOgEAAAAAWj2+RAZDACW0f9HCv8RAQiR8vGrpxOtpPpTSuxdntHYdZ0637YtlxW54ByfnDRFXc9m07/4y7e++RvfGA+GIuqcy1r+3ntLy+kCMcamaWazWTNvRWQxa1S1CoVDEpmdnZwWRTEej5vZoqiruq7JMTk3HI+uXr+2tbdrogqmpoaAYHliDMKyeF/UxEABGQmQjB2STwoi5jzjcogYOOdkQ3YbADINqKr3PseCACAnvVeDAV64SsEezzF6AvgFsTayv+Q8gHMC/Zuq/euYw6OxnUcG+eaQPa4EG9b1KrBq3wUgxGWjU25tzaWNqg8TvESEwmAKRkRGRIKITGBggPnK2AdN0nbtcDjM41O293bni9bM6rKaTCYpJaJ6NBodHx5xgG4O//xf/g8v/Rf/y3owOjudMspwOFQByXX07Nq2vXXr1ptvvjk9mxVFMT2bZQL43CuvvPLyq46oa5rGueADin7w7nvvvP/eom2uXL26tbeTe82u3bzxuS98fv/a1YIrVc1X3y6a4Xhb1KbzhfNuMm+++NKrByens0XLRVGFAhDbrnO+KIoiNgvv/dL9Ye66bjAYnJ6ebm9vj8fjtm1TSkS0WCy2trZms1lRFPm97dHj+UBPAE8fuCpowUdbUS778cmHnTvtI/eNEDMl6LohIEeHHuYADJaLy/kzvK4RMgQjBHmkGS1PaceV4H4CWiZmHUxm88ODo73tQUHEaKrCiACQUjLRnGXd2dlx5BHRRB26IgQAODo4mEwmbduOh6OdnR0iars4HA6u3bh+5dq+D8WsW+xdu1aN6hBCMnGqCJpMLbVVVbSL2dl0XtTDoig+uHP/rbfe+vrrv3Xr7n0wBF6Eql46MysKXNf+N00jIrn6M+cDACCEkJk1E2ePHs8TegJ4ytg0pg9rDR+lBHy0wuex6x/jdRA2k7yPSABlDkiIaOSMJM9pASICMqLMAUSkYEbZDhIgGyFEJTCHZIRETrVRVVPwARYLOTw8dKg7g5I9oqZkkgXXEiIjjcaDa9f3y1DEGG/euLY13Noeb+1ubTvyR0dHTdOMRqO9vb2iKMp6UNRFVQ+5dKIwjwsgFy0mQDMxUGIAMFVhtSxdV6hk3+jdd9/90ld+wzmXAGKMHCQUFaKpRAQlpJQkl37OZjMRGQ6HOf7TNA0i5lTwuj/g8plsPXp89tATwDOHJ2zwEXEzBHSx7nOTOWCDLTAXRCKiPSz8J3LLzS/qKsZPZkboDGWp+UwC5IgEmM2MyDabpxARQBGJHYIxA4KAqiICEZBB27bHh0ccax4PAplY0qXeDpGnHOUnwNgmS1IGv7M1eumll/Z2dxeLRTNvy7I8m0yG49H29jZ5N20WZ2dnyBTqqhzUi65tJBoTERAREgDYoplV5WBvZ2veptPT01deeeVs9sb3v//9r73+rQQsmotZwcAkSuayXACqqovFwntf13X+3buuK8uyKIq2bdfH/Hq+Az16/HrQE8DTxxNCQPDosN8n3H+slwAACOt878OI/5oVEBHXCV5yzKiaiEgdgygZALKJChOaI4QcLLKcVUBkQCZUMwI0MtWUUqeqzJg6q2tm5ul0Ct28clYOa0JYSFQET2ymYMpMZVkE50+Pjk/PjiW2oEamRBSbtusaI2xiczY7Q6bZYtGkrh4NQxW61BpZYGdMzGhZBRrYE6WuCfXIFu1sMnvtq1+bLtof/viNr/zG60VVt12UroUiACGaEPl17jfGmJvRQghrXeg8CPOxhVU9ejwH6AngKePJIaDNh558f/OEl6UEEAnREJjIHkb9VzNeVkXxOT6OREQGpkw5IkSmTBcLSQO7qEJooqAgWSvNez+bdwgQnGsXMp/Ojo+pYKzrcvkro4qKRTUzz87Ibly/3rZtnDeHhw/qsqqqKrUdMAG7s8Xs8PiIvfdFCGUBiE3TACE4ds6BYyBMpiBGqFv1+O7d+75LCgwAbdtev3799t2Dg4OD6zcLQli0bVEUIQQAdQhtktzc0DRNCKGqqtwHkH/MWhe4kWx/8eTCejzP6Esanjmc22mugznnHrq4jo9a50fWgdfr57A55x0RgRh5VfO5WiR068MMVlliJER0zjkkWA2NURE0KLwPAXJ8aTAYAMDB/Xv3793p2gUzIllKXYytSCQCdkgMIfi6rupBhQRNO59NThfzadstjMyXvhpWg1E93h5t7W4NRzV7IodAJiAGgmhEQAyIGGNrkubTM03dcDi8e/euc+4LX/jC3Tu3RcR7D6YqCcHAlkPqc/1P0zRVVQ0Gg1w91TRNWZb5oTwGp4//9Hj+0BPAM4HHhhceywSXrV/GDYC6/JfFMh93zEVWwGU3AC4jPctWsvVDkJWrcVX8AwCgppo0SV4c1UV2RAaDgXPu+Pj0/r2D2WzB7AGWYnCKwMzIBADTZkGO6/GoGg0VYdIujhfT08Xs/bsfztuGq4LL0JksYreIXZciMmdBoRQVgJwLwRWF86cnJ1VVMVLq4qCqT45OuyZuj7dnZzMyrkJJxABoCAqWlYiy0kOMMYSwUpiwrutCCMwcY8y/UU8APZ4/vHAEsLSKj7F3lx3/yAGbdfqbB6yjKI81ph+Ji+eEC70Fa+GzLO6//pd/3Fx8ZMUMlho5ZGiKqqhGRo7JMTJl/eT8D5kAFFePLk8CZghRhMjl+sjcWYVelBIH38TonPPeL2bzsgw3ru0T2GLeVsFvj7dOTs6I3PUbryya+Mabb3dtaptYV8PhYNy2MSWt6iGHYrg9dnWJVViQ3p2f3GvOJpROITZsh/PJvePDk2YWAYXZ2JELYqBA7EIIpeeAirGJ8+kidhJC6Vzwvpiczusw0EZrP9jbvvbWG2/XxagshpPp3IUimmFwo9GoaZqjo6OdnZ26rieTife+67r9/f2UUkqpKAoRSSmth0Re9j3Z/IacW/wFcO579Qufp0ePJ6DPATwrwAux+3M0gI9mIx9bGHpuBQCQIBMHgCKaIiCZ6SOvYo/yHG4GlJbZYiY6N2sXcjJ4sVgYgHeFaccrOCTnYG9vL0+FZ4MYY54G/IMf/PC3f+93mPjg4GA8GjFzbrNaegNEJaEhOO+LuirLitBldmFmZIe43LwzOUdEzjMzAGlSiZqSlmU5bxYxplCXVajffPuD7d1rzby9snPldDafzWaZpA2BmWNKwRVHR0fe+zzSwHt/dHT0C7f19ejx2UJPAM8EHmu+1+b+49xfr8C5FuLlJjQHcPI6IyDgujz0EX+IiEyYSLPyARFZ7iLOMRB6BIgYJbF3YNbGRkxLX3rPElwR3Msv3ZAUVaIDaJs251EnJ2dvvfXzL776+d3dvcVsTh63t3fMrCxKZnbBk3ehKKpBPRiP6rp2HPJvJCJdkrUoGzvHzOQ8IuateoxRVauiWkwnzoU8t+CNN964cv3l175+tY7lwcnxdHZWjYZn09Nc4mkAJycnp6enN27cGAwG+f2cTCb7+/u//u9Ajx6/fvSu5VPG2gqvf4RHLTJc2J5fdv/cCS+e6txpMzbDVrkYdMPCOyIiZCLKsf6lO7ACMrFzrgitpslsmjTmicHe+6LwV69e7boOVwF0R6yqw+HwnXfeuXXrVuFDVRRZewdzTnk1dD5479k5XA7pzRY/a1AXRVGWZU7P5hrNnHzO1UfMmKTz3ldVBaApdccnhz/4wfeHwxoJRONsNhmOakRrmoVzzI7u3btTVdXOzk5VVYvF4uzsrKqqra2tX9fn36PH00TvATwrwAuBnc07eCGa/Fi7jxudXytLj/hQ7YARAdCISHVteDFLEBGRLQ8jM2dkZpC1gQzy4rJ4dMUHDowUhYijxGRSFMEXXiSl1I0G1aAqFqcngYkBmJnBUgITGA/G77/7ARp96xuvN01zfHBy/eYNUwMgRCZ0hM4Mc4ZAAbz3uSLzYcIZwDRrOFu2/mbmnHOOYteE4AFNJPpgu7tbf/XdP/+PPvg74+29EPjk5Ji9C4UXiW27ODmbAMBLL72U3Yimadq2zdH/T/3z7tHjGUDvATxlXLTvn3Tj/3FwrtYTHynyeXgMrStAiQgdIm44AXmvsJQPWp+njZ2AEVFZlqPRyDlK0hnEq1evAFiMLTOLxOAIcRlTyjnVu3fvvv322wCwvb09m0wBgAwI0DOvh/HqCuvce1ZlWMd8uq7L1n/tozAzMbTtwkCqqnz5lZtNM//X//rboXCDYXVyeqSpc45EZDKZ3L9//9q1a9vb2/P5Mj1Q13VVVScnJ7/mr0GPHk8FPQE8feCFEBA8LqTz5PvwuIgQImIWfXtkFvx6OPDmCq/XiRyu6k/WnJFfaCP9wJs/EoFzxA4ldYSyu7310s0bKq1pIoTFYsaMeZOeR4lV1QCRf/rTN269f9v7ouuSKohYLuvMUR8wgux25A7jrmvbtuu6PEgyE8Cm9QcAEWFGXM2pT9I5R7/7e7/105/++PbtW7nPWS217WIyPRWN4/Fwe3u7aZrc+pvn0jRN01d89nhB0BPAMwR8NM6Dj3MLLlu/yCKPXV/9uB4AsOaANXtszAYA3vAV8oQA2BiLSwDgvXeOAEA0xrZJbVM4vnZ1b39vSyWaKYB2sSEGAyGGHGNBxMV05ojff//9n/70p1euXJG4NPFN08SmjW0nKWWFhry4WCyapsmZXgBIKYks5d6yx6CqMUYAIKKyDN67yWQymZz+zb/5B2rxZz/7SUoxBEdEs9ns9PQ0hPDFL35RVY+Pj3NSIZ9qOp2Ox+NfwcfZo8czjxeOAHKM3S7gI5/4ME7yaL3/6rS/YH/AuRDHxUrQTdBK6P/R3+jhQIJ82Pr+ubg5AjG5bOlyc+8q0+vyrh8fJnj9OqKyTrfmDG1RFIQuS8IVRRGcly7u7ezGpi0Czaan+1d2drZG8+mEQLZGFULaGo2zac69uCm2nrCuS2YkgpPjw+9854/bdqGaiADJknRNM2/bRUzt2gPI5n5NCUSUlRtCCPnMAOCcC6Gcz+dE1HUdM9586cZfffcv/v7f/6OT0yPR2LSLt95648GDB9/4xjeCL8/OpmdnZ7ndN08kjjHmZuCP/HwvfK8emdNwbvHj45O+bo8evwz6JPCzBfwY8j74CfsDLj5raWL0YWxntchm6/wnIWoeFrZyFHA9O349SRhUPQGkmNrGwfjK9tbueFQwkiU2QzAkAEdo3mV5UTMxAGBABUFbygfp+++/PxzV2zt7w61hWQ/YkoKRJACA3IHmHCNtkNkj78bq1lQVgbOb4pwbDAaDwUBErl+/enJydHBw/Ju/+7svI5vZfD7f3t1Dgcx6a3LtrW2PFwc9ATwr2LTjdrkyKH7S/gDD3AxgpitNUIJVfxcCIwAs+wNoORlmdcdgnTHe9EVy4RAROkZHYJ6cpRjMBt5vbW/tDGtIkUQRhRGJib0TQlBDxC5FADAxEdSkqpJHmR0dPmi7gZhG6wYpFnUZCvFFUAVyLnszuJGQWLtE565QRZi9mYma81DXdVmWZ2dn+9dvLKIgYl3XxB6MVME5B942kiIPd9x9822PFwE9ATxlnNuYb+7l4XF7/83gwKbZesL6RlRhYzzA5gN5DEAeArOcF7Z+LVrPDV7b2c2IVsEOVCylnfH4yvbOsPQoSdrWe2RAQjAi4I19OiGigaIaS6eiEYyQjMkTQ+q62WxiZoDinEPwRMjM2QPw3i/7eHOB6ipHvfnmpCRETkSSCCclIufcvbsHo+2d3f1roR6ZYdN0g6Ku61rFcja7R48XEz0BPBPAR7f/m4v46N5/kxvgUap4/DpsNgnz0voiQpaGRkVEMEaAzcGQCHRu5dFXyayAjMgK0iWH+MrVq9d3dy22abEgUwZHaAwACLraTCMCMyIBAauaI1ZFMgJQX1YucFEuRR8QLctXhFCRy0oNfjNQAxcqlJYegCqxU0mm+X6o67rrOiIeDEYUUtd1IsbsypJTUtSNmNiFvrwePZ5v9ATwlHHR9G/u5S8eBhsmfpMPLlvPW/3NR9ceQG4HIyJ7OB2A19t/eMQssllnivZoeSQagKhHKoPbGQ9HVb3QlNq2KNgBEgCSAQAaEpFiLjhVRCJAIgdkZsSwfLQMxXBY18OBL4pQFs4TAIQQkJecsPnLbqbWN9PgqkYMZuh9ACNm3t7ezpmAruuatlPVwWBA6JIkUWF4zBuIj8vE9Ojx/KEngKePx27/4UJSFz523P8RLrFc5r+ZA7ig+Lb8bz0dnlc5gIcc8LBKSR/JlHrireGw8K4KLrUNmXqE0jnThACUswjOADALCTE6REMDMwM1AMjVSApQVUX+F6rSee+KwM5774HcphDFkgY2IlHrS8NlFZMnMvY+ialqVvlfLBZc1JQ7jZezMB0B0saIzc3z9wTQ40VATwDPBJ6w5bz4ECKaYR4OjIjZOAPYyspvrCsqkZgomKEhoNlyoq8SmqFqNqZKKAAdAgiQoRk6AAMkAAEjyskDEwMFSwRKkAiUrSsK2t8ZMUFsFs2iC2xImSHEbNlSwIBA6BCJyHsmQABQ1UwA2biHEEJZhBBykMcxV6HioiTvkByumpSBKQ+gV4HVrwmwrt4xdBwc5QJW33aNWip8SeTu3XuwtXd1PN5hxEXTlOzKaoAJEXR9hl/959qjx7ONF44AEMHsfLX1k3CJXbholB97wLm4zUUsTTAALIP1585vADk9u9p0SzIzMjQzNQAzUwXIKs8GaAAGqPkBI+qSGDIxgqolATM1MwBBEly/EcKQFFoBjFgasFirSiqosuxUIBUwY0sibWpn0i1YIzvZ365IJyqGmIjEwJxjg0iOHSEREuWQFOTEAhM+VHqQZb0NMzsX2HsXChfKIhTBF0QOgABZiZE5AYoagRkaIWn+ZJIiIiEhIiCYGSRtpXXOxaYFxaIou053dnbnTZpO5sPxjpmNR0M1SM0MmGQV1Nrkkid9H/DxTcKXfpfsY3zHNg+HS/cBn+g8PXp8HLxwBPCZw2M9ADQTUALIURoxQwMEVDNYsQABSn56nhODBggCRghiAMjL9KwqASlmE6MiAuCYPHsQtE5aFUldw4SokrQDjWjJk4XA5IMDIRQDA1QkBQAiMERmRCImJqL1VAEi8uwcO/YOAJTMzJCzCGjw3rP3zjnnQu5EAyJbK1lkGw8A9HhT+EisbEltkOmByTsHznkmj7n5buk2cV8F1ONFRk8AzzTw0dwvqgGamSFkk69qCmC8rPQ3RFPTfGtgBuYQzIRBEJKCIEhEQgQwUPKiiKRmpqqIImgGAqqgohJNEqoy5NcT04QikBIbOHbekyNPsaEsHLpsJ8BcuMnsiIgJiQgJEDFHZlzIJt4hoqgBAJFjZheCc64oqhACe8feMTMwA5IhMS470TYyAZfs2VFhdRlkSgRMGArXiXrv2a9Gylh+fl/s3+OFRk8ATxlPdu0vlIQaIhCoIZIJAiKqAIIZgi7jRZkDYEUMYABKkMwSoBkagykiAGdvQdATKqAHSAJCpCJdatsknaVEFpnUBz6dzy22miKbMgITeybPZObQlhQCqojItBwUTESrBDMQZTvP3j8kADZARGaPq/Wl9V89HYiAyFYFP48qmC5T3I9LkAhAzhggkjFzCJ5b8d5575E5z0DInQ3W6771eIHRE8CzjnNFKYiGOb6jy1teBo4VEAxMbTn90SD7CgnMyESXC4amAMu4h6BTiwoMwAYOQMEELBEIaTKLklpIUVMrTUOWvClwruY0BiM1dA4NUC23duWdPjMDKBAhASwDMbz+R+zYeUTk3FbmAjN7X+RBxMxM6AxZgRgIiexhu+9mDzDahWg9LpMohrTKXJsimvdc1cVgWJV1wd4lWLIiKuCGqkSPHi8aegJ4yniCB7Ap/JCPNERQsrzxRVZTIzRFQzVFAzEwRUU0AUUzAAM1MFmexGRZLGOrqpl8XxVUTRU0mXQMHbGQapKUYtPNZ6ldOFQGJUdojIZoggZmGrwHAFRT1SwdsSYAXGosGK5E8dZb+7WAsxHmlECWnSMiQ1QEWrUNP/ZtMTPE3BH2qJOEZmggami5lcxMGJQYyjJUVVUVpTHHJAnQxFSl4D4K1OPFRU8Azy7OW38zAFIiMzAwIwRAU7PlplezSQdEBV3dQnq4wxUzFDCFZeG8qqEkUEHpQDqUFlIEiyJt7NrUNilGjC2ZBLLgHCqgCamBIhigmhl4dgAAnIe3MCKyw5WAqOWKT0AlInaOnYMclXeMzGBETM4XOSIEREBuPZkm130arDbpZrDRF02EsKqZ0aXgESAAEBoCgCIyoKolMmGwaAqggCs6XDc/9OjxAqMngM8A1kyQq3uMSFUNzNCMXN4QCxogm6iBKYKZGaGZJTDAHPIGg2TLaBKCCZuZCWiH2kH+Z40jmUvTzSfNfKpJAuGgZE8DkASKKKjJENSMkACAiR9OhoGlUhDmuv5cVmQ5Xc2QQ/+wnkJMhPgw1m+rAP9qdM0S54I8tkEDy5VlRwRks24IhmoIuqyFNbBEiF07T7HVFBUIFJ0DdF5EIDcU9OjxQqIngF8Qn/bm8WI1+nLzy0FMBURNTZedVkjoyYmIaDJIQJT7A1SxVfW+AIymxq4IBNp087NpUVbs3eTocFiFwlmzmNYej0+OzuZnMbYqUnoq67J0DkFNlJRMUKIpGpAiqEMyYiTKg3kRldnW8wOIMhk4dOiJjTCLLiyJYS0zx84wDwsLOQGQGxlEjQ1y+wOpIRgAiCkRMZJ3PmluNluNUsjlRgiI6IsKAFTVOacGkjpAtzUczE5PwWjv+svDajhturad576zx36Q5xo4el/hOcP6A90oK3gRO8B7AvhUcNnX6JN+vS4cT0BIGMiBqmrquq6LXdQUnXMmUUQgm0QQVRUF7wsRUUkg0jSzGFvPYXd7fDqZnR48ePnGtQd3b6u0V8b1z3/6o8Jp5SmwByXPXPjAjKZqKUJCA2JwQohOsjQ/IquYkCKiiORqn2Wgn1d6PUTokFeJ3LWqjxE+FHTjnNgAfVTWVAxR0VbpXoKHDz3sjINczpOdis2AvgEAEoApmmrsxFIz983szIWiKgKnXDLb5wB6vLjoCeBXj4eG6XGjuy6uf6LzTCdzYPbZsAIF5x0xeGdmCsZIq0wvqqooTmeLoigAsG2iZxrWY4k6mZxV3g+vXWnnkzq4w7t3b7/xwbDgELz3zgwJAzMHdogmMalJJwkZETjr+SyHhaHr2sgKwilPaiQiYMyPYlZ943XuNxd9MgCAERISMzETe3wo6rmcSAAISYFFmAnVzJaF+2SPAOBhmSkSwWbIiADU0IABzRSARaVbLGanJ0Woq9HYMS9ifAGH4vXosUZPAL8gPtKI/5I0cPGwHM/eHg6SqSVJKYqIagITM3FIYFm3IZGZajIRExsEp9J4SGXtLWqzmIlYHdxkPgPEk+Pj177w6u6oeqOdXhmVDOJADCIIIhmDmYrlSS5ggAhMDIi4CvUAOzEzJMM8nhcR86xJ5lzDuXYDaF0OhACwmirDzPSoT/Cw0QtAVYksUwsiAi+1oJdjNAEA0LIQBBERGWWVJDAzMkVEM2UDRXOOETVKnE9Ogy+dcy6UDkBNtXcCeryo6AngU8Gn5AQgqEnLAAjmnQGjGaMSGIGKLis6s/lPKgkllWV5cP9uUtkZD46Oj9544w0g/+oXv/S1177+kzffvHrtxr3D491h+Xv/wd98582fOkyldSAmpqKiqoCGYFnAZ31VD206ICZBRTQPBECW9dqIiFYjhzGHg9bPRVqfATdlPlfnR6bVMHrIEX4Q1dxKRst3Q7P8UWaFHPlZ9oax5Atc6lYrAwEoKzILMptCatvF2XERwmi8UxR1oy9WzLdHj030BPAL4uNY8F+GBjYfepiQVNG2ZQJm5tz2JZ3EJJpiszBNJqqWQDSlmGJMqZvcmcZu3izmp7cjAAycvXv7g7/87l/+p//gP79+46WyHnzwwQcHZ1NkP9y9dnb/VunAWZaKQAUFA0LKA4Bt88oJV3KcvJSAQEQGZkbHiMiel44Ac64YjSqqSgi55t85R+xz1F4RvPdmZtkHAMalYo+qKqplxTxaVrqaghG5fBlr678UNkUWA8R8XkDTXB+qMQGoQ0Yzadv52XFwReUC9FpAPV5g9ATwaeHTcAIIYDwoLbWLxWw+my/m08ViFtvOJDKhmeQCSFARkZSSpjY2Z3VVqswnk8n29vbNL7ysqj9/593/9r/9P//n/8X/6qXPf/krX3/94MH9k4N712682syn86MPSmuy4hoD5vxqrsvM2eVkmjflZpZMGNCtcrnk2DmHDhGRHDnn2DlmVtKUksZcv0/I5IIPITgOiChgZua9VzBTzD4EAJgI5fiWKgDohsCqras4lhv/h8lhRUQkUFEgRs0VogSqCmJCCOyKBNZMp2d2mMzC1p70BT49XlT0BPDp4iPLgVbBCjgXic7rCIYmAJDL1dnk8PaHcbGYTCbz+dSSeM9VWYYqh7hpVRFjIJpSUnEOq8VsWo3q61d3zWzWzL78xc/95u/83p9/78fz02OSePDgwXQ6K0Zb906mL3/p6z++/fMhineW23nJAAFUcz8WSE44JFNLWdC/dgGAcLXZx9wBRsSO2DnvPTrOmdsUFVGMEB2Td+wLdg6RwFRVwXlQBUTI6VwAUDICEAFUVUXz67fOgLJMdvZLMPOBmqHlZyIimMBKjFmAyKF2ERFCcCg2WcxEJEK6MR6BOQXKcqZLvshPAqDsQADYI46CftzUsfXZhR7PNF44ArBV09C5UsKPLPRebz/PHX9uHR4dMHKRAB7Z0RsALJOcxM6IzSzPOmEmiw1pCmxkMp+dHdy9fXTwgEEIjJnHnovaO+eYgSiZWY63A5iaJEgACUzbJOA8gRdkDm5Qoio2k+NvfunVH/3kLXvlc/u7e81UO8HTttv12ztf+MrZh2/v7O+jdHE22R2PUxIAaJIlQGcaRZJ0lqJaNFEVM0iomCyxMVliZWSqfQ3MeQSwmQKyC0jKKSVABufRe/IekcEQVRGZCQwIVuNi1FRUGKJINMKycKEuAHmp88AMQOsqbgBAVAa0LPQJYGhgWSpJAaCN0ZgRddHODbEIpNC003u3f764+eoX6p1ri3l71jShGgZfppQQiDQusyr5e8MOEA0kKwlBnogJsEkGdMHiK1w6QuAS9Jzx68AjZcRrz/IFawKAF5AAfjF85Eb+k65v3nnYgSIpaQ7jWNfOh2VwbNPjB/c//GBycuRRt6vQtsIIjsl7ZDZCQVMQ4DwtXQUATBVU0JQIVBHZISI4BkJi4oQMgICjQPduvTcYjwofFl2HPpwtujDaonLYKnhDch4RCRCIi+AcUgRzoKBCkBCEDFKSzW7dvOM2wrPZ1LUuKzDnTK/3HrlcLBYUAjvPPrgQEDhLU6S4jPMgsOXxlWarOQKwmnyj6HhZ8kkuDxm2ZX9AjvYo5mk4YGYmS60INDNwntZUAQB5moKpNGd3339razYfXrmxPRpPuzSfz4uiSDGxCSEgWtYtVSCwR6TjDOF8p/IjH3ZWm+vVRns8u+gJ4KPxSaP5j11/rOkXAFDLZTC2UlQGAAQZjwaLyendB3dPD+4201PUGDyllHL5pfPe+VUGVVVVHT2c3KtqBgjEYEaUdfQhJ46RiYDMENUNh8Of/vSnL3/5K3VdHy4WIRQnJydf2B7Pi6ptW0QtkERUVZkdISmgA1QkJkfsmZQBAJYqzfnVky6loZl8rtyPYlESETnnHJALBbEj9kgOc6kQZOpKZpYVPAFBzBRNcPkmrYEGhAjMZoarfZs89LrUeUQ1XG/oLKeWgZlhYzqXLddJJE1PT5J5LkfVTu2ZBImZY7duMnCApJCHIhgCPTYElINP+TqWj/Wmv8czj54AlrjU+3uc4X7sE1d3Hn/8pWSwelREzMwxISKpStcdPrh3+92fx8V0a1hvb22jxrZtl+oFK8JYWXw9d7t5hZiF0la5XGYCYEs0qgfvvv322dnZ7kvbAFA4f3RyEq58zrkwm54BmXM0n8/RwBmgI0VSI0FBRAQFUyNCJGTvaVn8o2AmqmBEJGAiElOSlNQMkdSQXEB2Cs4MVR/O7XLOPQzKKRgKgRkYiCCoJ+8deUJFA9SlS7CUihAAsFUqZTPGB8vaWbDsFeWhOQBZogjMANQBkffaLT68/d5g0Qx3r4ZQS+ocIxllxQoFMCOw3K6sAMscBQAZKvaB/h6fWfQE8LHwKTkBsMz9IqqISB6l4kBE9Wc//kG3mKFpcKypa+ZSBVeXhRiYWUpJRLIHkHffmT902SK1qstc69jg8nXzSxOBoBZFMZ1O7314Z//lV51j57lt27ZtHYe2iYApFK6NHYG5JEXFimTokAyXROIRUQwJCdhRLvgBAM2zfs0ROg8ezEQNgZGAsFPL5aGGLIZg6IAA0Ls1pYkBmIIgAFoSAbC1woQBqKiCMDuwPAMH8pZ/mZURNQRUAwQyEDCyHBjK/gUAIS0DQwAATGZk89TNmpN5p220arRF6IajGhXyeAVDNKScBzYjQF01DxAA0HI4A8DDrEC/9+/x2UBPAEt8pAcAH9fcP/74c37Axh1YRW0MkUhj0y4Wk9ODe3dKh6VD5wNpNBVNyugNluqb2d6tO2fXL7G2+5kelmXyhIa4HAi/qp90noZ1+c7bb33hG9+oCg+OQnCTyYxDQcQSYyKNTcOMSa1LAOzIFS4we08GaICExB7ZI3kgNmRAA2AERUNkJGJEMAMBZaCs/p9/cV5dKSJlLQdVJTA1UBM0AU0mSTUhKJiBiMQUAQwIFaRLAkt3h8wAgPMvyuHh+5/bidf9YgbLlAaCAwQGMA2O2xQZQlUWndnJ4VHbydbWlnS8HmUMSGg5foQABkaGCkBosIz3LLmlR4/PGHoC+Lj4JZ2Ax+YAIG9YMUcagEBTjJPDe/fv3C4dkkZLxg6LIjCCSWyahkKFxKuqS17v9LMWG9gyzL3e+6tJDrOv4iZLKXzniIiuXLny1ltv/fbRYbGzA95tjcbT2eLqaFjWQ5mroSRV51wU0dSwD1nVU4gECUFBjIvCACVruVmONREAOB+AAYENBBQJFYGJKZS1GKgmE0WzLF7ND0cUKGgCFU1RU9TU5eUYIyAia0Ik9uyw6+L6KXlivBAQEaSHLLhmx/XKxUVNnXcewUdJSRCDR9CUuslZCswhBFcEh6RAppYHLcAq4v+YnX6O+z/iB/QBoh7PLnoC+GS4zFH4mOuX0UDeo5NJahdnx4cP7twalp7JHJgpdk1iXOaKVZVpOVw3E8Ayn7kyanCupJUMOdfLK67E0rJEGwFsb42+99c/mZ1NhntXjHg4HE6mE1/sltWojS1YB8RADkTIMTKzJyZPxIp5BBiICAEZJ0PHXskIEAhdFCEjzAkDJsfee08uADoQMQXFtBzdZWCkzkA1oZmoaooiksVNCVAUY4xqAKTK7DwTGxGtf3ECJF4OHVs07drQq+qmh5QXN+NjCDafTq5cva5CB3fuL6C4+ep2XVfNYkFmGhwThMJ5tAQmliwpeQfLcs+H1h9B+8mSPT6LeOEIIEck4EIh/7kf1wb6sj/ri6ldWIZ6dPPRdWQmF/tfPN6xj83COx4Uvpkcf/DOW8f3P6w9snaMyIAERCv7Yshr65bVFNYEwI8OZlnfIccKD2dg5WpREQFE59zNmzfbrvnZz37yua99ZZq6oiiOo05n7Xh7587JAwbb2b0ym54MxyPiwpAhj2wEQ82TX1CNzFAUQAzQgAEYCWkZpmKm1YQABTSRoiwzjYku3y4zRTIRAVAUFYmxbdu2je0ipVR67rquSxKKcrx9pR5vsQ9qkNJqmjsq5cGQamY2HA7XVUmPEOH5jw8AEMyAXJfkg1v3Do6mL7/2G+PxuF00aOY9d82inZ2Rd8PBeDDeqaqqKsv5omVmYsqZGDMjIrfyxABIVUXiQ2m8J34be/R4unjhCGANe3Ti7nrxsoOfsPjYk2xa/4tPX6+ktiEEttTOFqeH9xdnR9bNHSqjoeYZ55S3rHknT+xW4pr/f/b+9FuS47gTBc3MPdZc7lorCjsIkdRCSnzN7p6Zc97Ml+lz5p/untNzRq2e1xQlUc2mCIogsdR219xicXez+WARnn7zVgEgARagV2ksXsSNjIzwiMxry8/MfnZDt7xU1SAS2gABhZEsghZnghG0xpSZPZwfXF2er1fLYDNCBMwEDGZFVk0Nb0xusrzMy4LB6jAyg1b/C8BqkOKlVOsBwk5EMtwvoggG7wMDIlqyYiAEEBHwmqaF4D175wKLCNk8JzLWWBZGTzYnmxmTIRkQJMuICsVoT9Y2BcIABgwjkwz/Y+SMMt2T7leSoryoJ7ODQ8nLogohMHNmbJFZcW3btmHtQtex76vJgS3Kuqrarm/d2hhTFEWWZczee991HRhLydgDGEa5vfhj2ctevgvy+hoA+CZKem6/xBxr0m8YgBemBEjAub4qMmG/vHz+/Mlny8szw72xQACEIEAiJGSArCGDNrPWosmALJAVVAb8oWNKzx7Xp/9F1JmJAoCCQCCEQEAQwFqqJ+XDB/eePvn84uz5/O5dYzJB7FkKY21RGufFoClzU+QgRpAACdEYJERBMYTIYxoXx7vDwKB9ZwAogOPcdhRhEOccCCFBRiYYAZHgJXAgo75zcMEHYTJkrTFYEDALkQkmK0xWIBljMhAkC6roh9nEvH3CRIhCiExgtEyTSKzJdZshoMTyTS5KI1SUk/lBNsuquuu9cz6vMwkBvA99E1zX+hZd5zYrysrZ0XFR1fN5LSJN222aNVqT53mRZ1qgijiUiXKAENi8eODYXvbynZDX2gCk8jJ0/mUHpL+me17m/t9+Vd9tUEi8a9aXZ8+uz5/5bpUbwsA0+PSGwaKWXpJBk5HN47iVFOiI6DYkNUIiWso+TlVXAwBghASCMXldVo8e3P/X/+Nny+vro3v3McvAZo0LeQ5MpmexzEIohNZkGgGQFvwLGNCKUjuUhWo1z/hMzLYcX0hggONFRAIiIxAM5UiAiAiGWYRBkJCsBUMGiMgiSeAMvWE2WU7GAhkGAqRhtBgMN4djSwQiCaGWfhpARtBt0GcIOtYAdDsAks02fWiZTJ4L2L71PvQ+z91mDa7JSAprABm7Tds1HiD0zfzotDTHmNkcObAjZhRTZMYFEdak/nao8Tf1/dzLXv4U8toZgKRP6CbWf3Mi6B8UBNxU9y/OAbxwj4CUBrhvV1fni4vnfbMuUDJkCD0AAZHWnAgaJANkMcF/dvRLTHVCMkQeRwyCiESZPYWNAAIG5owkz/OTkxPn+rbdWGvQ2qKaOO8CCxjyKB6ADAmhGAIyBg2RJUACQGERMWTGce5bes6hKJ6FcLhlVKpPRNJyGg6oM4tlSG770AOhwcxYqxQPwx05nxkbBMlYNJaBUIgRDBqtORqeLY0XQos0TK8ZPlUBItQGMG2R1k65ICJoHJhl0206b6rKMHoBYQy+D12bsStQsgwIkNl3zjNLt6Inq+Xls88Pjg6PT+7MjuYQgnPOsfcMQbROSAxlaMhaE5zfG4G9fGfltTMAL5Pbmh2+0Azc1v7jzt2X9C2xQVeSDl4jAS02q+vri+eb1RWG3mZI4Nk7QCOooDySMWCITIEmA6LUrbydCdixAQBazQ6ok7g08wmsmAkilmVZlmVwnogCcz2dLK8XTKaoa+RNlokBg9Zoq5UQgiEEBO0DECEirXTcRiSAMnSeDaGANmEBALJHsiDAHEJM4iISUWAkyqLej4+RGQnRIAEZNBmLZjEMC6Ly84xtXiIgAkgkAqTTC9QUIYiAVfYIo9ZCa6EEgFrHmy54scZk2mRAmWVmazBDstwjewBvBSiDAuzGdSDQuJZ97/p2OjuwZUUms3lurRE0TsAHCMLCYvezxvby3Za9AXhxFRB8hSAg1ftJkc8LDECq9OPxIgISevHLxfX15UXfNFnwSMIiwJ4ZLSktqEGbocnAGNCZuMnJYyiws9pk3dseJVRateSOhINAmE6nWoDf9N7mWRBGk5WTOsNpnQn4FpCdtu0O5f6GSEBrOEVIlBwCQUAIR7xJaIBcQEBQEAFFSILeuKBEthwEAJ04plpdxp0kQBZ1dpgAMRIgsWaxgQIMPQfIIoIAKCAsyAjCIIT6UyEgEmREZAkABBhAUCAgXq83rQdbTUxWOaYgIUdidqWxFrwRwOBAPApbRDGIwZdFbWze+/7548dPnz6dzA8ms4N6fphXdV5mGRkBDt4FD3ibHXQve/kuyWtqAF6m5W8f8FXemGj8EPek2h8GzmcRUaIEQGFgAPG+3XTrRb9ZimsBgwQIwRMI8GiWyKgGhJuu8ZfcIAR1zIMqX0EUQWAERhAUAcMBgxd2IVRVzYDBQ9c6oCoECWhtURAEY9i7PPSdA09gAXJAY8iwABABj7OABVDbknV5WzyNNQ+MMPBRBGaEIZ4AMOriAzCZTA0DC6IwkLKQIgAjZWiz4akC6TxhvgmsIBqRwAhK8TMkWACARa2WFx44QkXC+NF4gUXTCZV5XpjM9k0D3qFBkR4sI3hDQNYEHzwzB2bvCbPQr4NrGChDZJb15cXi6tKWk+nh0fHJ3WIyVRQoJ2sMcQjwFUTHP+ynE+/lFctrZwBi2nAsBd9F/2OWYPgNvhKmHyMAEhBgUNYFkaDsCzpSBRgYWbx4AQ6IxgqHdtVdX4b1KkfIEHzfMcKkKgSRgSwNI3OBg3AIXowlJINoAIgZRIRIiEggjNngMeELIIxERkRCCIYDkSAEYB+YGWG96dggGCvGvvHmO08eXxzduXe53JRVtVy3IWSz6rBDCdwF25tM8jwrrGFm1zY+9BmZ3Bok6foehLMss0ghOEDO0Bqj/j9jEBBPSIjClJEpAprkAeqHQIGHT0PhG0YAwIAAlgIQMAAhICojGwvjYCCFKI5dIQPgWVjIAAqgGTIoDABBuO/7uiyIjBI+FzZ7crVsGYpJ5VHaZmklZJZzFCsuAyEIQXzvvQ9hmNlACBIIgjBYNIKGbFZRBsY2fbt6/rhZLubHpyd3700mde9C27bWWsXgdNiD3GwMRmAYxs5oVRgzguybh/fyquS1MwBfLF/gXEfVv7MnNQlqCkQGbzOwquigHJn6HgisMAhKCOJ9s5G+Fe90IFVgNmPb6g6LAEogIZ17lS5GZLuSpBpTRJQFxwIACoOwcABx7H0Qbj2Dsc7Dx5999hc//mvn4cGDh+u+Xy6X84ODo8O7xqBvu3XXCOfGZs617AgALBnKK/KZ873ruC5yMSwiYowgCQihkLHMgSEQAgNkAgGFCBiYkW83RUACwQ1cPWMOV4BgrKRE1PyCWmgtHxLccjyDiBg0hmJ9lD634dXMUAhBIJRZjsDL1fViuQRbCiGQgACCNyIWArEDDkE8SgjCgXXYGAoShx6FAQiQkRiD0g2FOi96xhD69vrqgrk+mJVVPSmKIKijjUEEjSUyIsgiILuRAQHzXvXv5dXK3gBs5YvhnfirDMlJhps2IIYCagCYOYjnZD8ACHsIDDrbhAVC36yXXdcxs8FRs2tHlTFR8cmo41m8iIXAOFS6KLsDATMOmYwR7ofBuzYkLFpiKSIhMAcOLoS2D7bMz87PN23/kw8+dJCbPFtcXCktc9M0iJKTKcvS9V3XrO+e3gEJJEIoBoW9c8555zwAU0YCDOi1MQsl6MgZYAFGRA9CSAwAAsBekqRxknphGLMUMVdBAkh2yAnEl7bPBNIz6F5jhvGZEGM7HKYmZIac6yXIpJo61y2vr5p1V58eZ1VV5pmRYFgyEAtILL7tEAJK0HhJRDQBE0LQOidEHTfPgAwCSJARgkDXrjrf9a6dHx5PZ5gVpdOvzzC7mEWARybXvezl25W9ARjktvZ/oeq/jQWl2V0AGCaYy7iTWctdmBkkQGANESAwBwbXr5cr5zqUAHizluZmGy1JECERhMBikHnUOwPss639v3lTDOLU90cJLMzMwYsXYaCLq+WT52eP3n47ABzfufP5s+eL1fLk5IQs9n0ffM9lOZ/U1hhmvlosJXiQQERlluWZsUVtSwxdayDX2ZYgAhJwHI6CwAxAIowoKERkUBVorEvSKicEAB08GbV/vBeNgwiMQNCfQxsXkCCT1vqP7V0MAqHf3j4Ag/IgoXOuqioJnkWgYudc3/dZluVFYbKMiAyzASWtSx4jDwzbzKxlrPrZ6yxKACWiYEHsusZkeWYytOghuGa1RvB9e3hyF01eZIaBArMLEkJgwR0DMEwc28teXq3sDcAN+eIgIAVediKAbQ5gTH6O5PwsSsWjwUEIIAFZRIe2+65vN+wDImqBj9ZEIphIaANjxT2yiHg2goEJRzRZy3B0FDzKqDqHshgACd5BYBHPEgamNeHAhGT+9Xcfg6neff/PGidFWZ9ffoxgjDHBu6uLy88ff9o0zdHRwZsP3zg5PkJEAtZm3cb1m94j9obg5OAAUUggsGMfUIIgAqL3fgC4gQHAIKDW3oCYBPOJBi8qxO1dD0WlwMAoAKiFQ0r+wAaRUQwIAxPoq7xjoUHdf0RBA8I6bsE5t2m7ddMyYD2deJbgex8whN5yUC+ffGuNARlyEXrXOr5mJOFAJDJISDQwoIrHAACSZcYABXB9s+jbDaHN6+lkMrFZziwQPABa8+LeAIEX79/LXv5EsjcAg9zW+PCien+4ZQ9SifsTx9GLpgRYJDgOAYWBkYP3rseudX0H7Al0hokAgCRUP4hGhqJJBvZIVmIEACNmAgAohCSs5f/bSiQEFufVAAQNB1h8kJ658eHZ+dVf/OjDcjpnB1eLlc2Kuq5ns1lVFd/74L08/4/Ouaurq8uz58/Pzk9OTsBYkxsSIZt775mZgRsPmTEE7Dx6x4hERE5YxCCg2iG1TUbQiLdkhihhKAwdqoPQZLrsnQAoBAeCAQQZA4hWNYEgE4BQANFXhbcg0vbzQI2MDAIYm3lBk+U943LdrDadmDwvSjFGiJCDFjJph7MAEBExccK5FD9fTIRAdDhbYY0XYd8JI5Kx1ghxALm8eFa5HoGLsgYyhtCSAWNDCPtk716+ddkbgF15IQT0BSZhV0LQrG8IWm+jBSSMIt478AE4EBgJjn0vrve+J53kLhI4IGo5INAtFAiERQILk2YLFNwQFhABCoEVWomjaEUEOaB3wiEE9hw8Q8/Y+dAKfPbs4ujOw4OTu4HBZvmzs/OsKA+Ojr///Q8ff/7pkydPrLWTyaQsy9N794/v8C9+8QsAsNYWRVHXdVVVZV1khMvlsspzMtB79k6MAYX/iQwJyTiGF0EYMJAB7gbGOAYigjAEAZE9DYbjdYMZzPgIYkyAAAC8+3xUMoMswgJew4aYDSbTtc5kBRtadZuOqa5rMFWe52KsZRQIFigzkAkKMkHYankyyoiBiCwAAkxott46IwAIkCAwBxYhz2JsnhmLjeu79WolIFOf11Ob5YIgHGAsAdrewt7938srl70BeLGkAUHcsxMl3LYEMMyo4iADWgLMLB6H2iAv3qOAAOvAE/G9BAcSUJglKMI+OK+IwwwqYRqq2QmEh5hgyJriWMOqhM+8oxONeBQPHDj4wNAH6AK0jtuAT55e/uh/+w9MltE2vVut12U9q+ryb//2b9tmba09Pj5umqZpmhBCWZbf/8GfLxaLy8vLpu2c59b5zHSIUmWWiZCMkIBFtIasRURgzwDAYaCFQARAQO5EEIIRZATDqNlhIczYMAIlrVsGBma1G7HOaABEYrvxjfgsBBGhoB8AIBCJEBoCT6u2mUxKY7MWMjaGqgM2JCAkgdkPFZgmllgJQIAIUhkyOnbG+cHQg5hhGQAQehdGlg7wHAAFA5LJqty40HfN0hjMshytFRHn2djsdtU/I+3Dgr28SnntDIC15P0Nav6twh0D/B2vP5Wdkeu3bAAPnVqBJVIdiAyDTXqHAsy+b3uDIq7fXF9LYHZeuQeMteoLExlAimgGM6NFAmV2E2Rm53BgiVaHnwduNEVbdA3MXrw068xS03R9kNnR6eL82pSzX/zsH3/4o5+YvKas7PpwvVjVdf3Wu2+///677b1j5KD3NWgoNABgjHnjjTcADTO3bbtYr5pV07YbAe4DG0CTFyYvQnC98yGEcQqAUZPmQ3DOAftJWYTgxYcAYpVbVHt/exZCiySCyOKFxXuBIIEzg8YYaw0NLJssInlehBB0NjIAjM+N2DmNQJBQp1QiWSHsWj85vte1AZggn54eH1+v1gezWd+uQYJByPLcikf2wt7o9EwePkRjjCiRHYAy8WVZRkTD+C8RRMwzw/rIEQwioICE4FuxVOW1C+H68nkI4U75RpGXve9hqPqn7XP+QnnhtxG+cObBXvbypfLaGQCVHaV/+6Xbe3b2x6xvnMMuIriF/plF6wd9CF7YiwAHhwIQvATHCBw8B4fAIAFBABIMJPmrJtAaEdGhhyJBFHweHOEQ17MlUBPRzDMGZwx2XWsJHePvP/3cVgd//7N/OL778PD0gQO6vF4uNi2ZbDqddl3z0a/+xXVrGvnseGCeGMofjTFZXlprjTFCxhb5LDOr5fV60zZN0/c9ohRFMZ1MiqLonUMWAFZSTzCUFyUiBgIGFyCIiENEQK8LRkJA1sY3o/Q9AiKVNdqE65hRkIiMNYh4sV4TEVFOGSEii3gRCKGeHCKCAQJDQwc1GUFjKg8AwfZkMg++8chg15veABMHQQwoJAGYkRk4WFBeCoGR81pnCUWrRgPD3Jb1CIbGBRktMaK2AAZPgBZRguvbNaEtMjPM6NnLXr5VeU0NwI6k0UDcSL17uGUGtj7/aAB0prkwSwiB3WgHgiLwJOC9N8wgHLwTEAku+B6ZUViU80yM4tbDGnBckgQSQEHgoHCzIuLbIyVsJ1DhUHXKzCje9U1w3gn6QG3vXLfwYN5+7wNb1N5x7zrv+GBanZweGWOurq4OZ1OS4VwBUMbOBmPz8WaD6904z0uOjo6c65qm3Gw2bdt2XbfZbERkPp+PADpl1pIxbC0SGTQBLGvLWDKvsWkaRDQGjUEiHEh+AFogEAwMIYytv4ERkYpJOhg5fgQbFxDFAEgQEc/imTkAHhwer9drH7AosoDkBerZPLhmUO4ABIIghIKiuwSHuWcEMIwdAE0ObwlZt57ECN0IIggSKphDSCAYekKyZIPrV4trwqyazRt3a57wXvbyyuV1NwAvU/23lf7LDEA0AyLCwoobxBIg5jBmAgJ7hyLAnr1TdzAEbySkgUVMPMLNQSLjdQaGHx71PYxMFcoGMTTJDu0HjKF37QYFmp6d5DbL/+U3n/3wr39q8/q3v/u9mEwon8ymp6end+7cqevywb27rm/tMF6XhghAhJmNMSwCjDpKBc2gBJtmba3N81w7yLS+3jnXdZ2+0Xvf933f913fhxBsXgzGCYfL6ILLepJW18Qb73pHRGRtlg8jkTUgyEzmmNvOM/cyVuYQkTVkRICQkFgLdMAI83rdXC9WxhiTF5vNpuu6Bw8ehBByIoOcIRCQGaYOG9Kyq4F9CYm22Wwe5wwDKOMHK+GdztsZrDIZQRIkAkIU4YAExrB3brNaZXldzw8IOCANswr2spdvSV47A7CjvuGWDUhfgpd3/MJNymVI+nXTyICZQbPBEkIIIIIhSHCMEthJcMgCyhUxEKYhoiGyQ/8TMOgoRRHUIEAvTazsm+OyGdGMZGdD/tl7D+IM0XK5Fir6EM6u1llenpzef3yxOL1zf9MHBijrarPZ/PM//aPzHQGIAJFVnGcooeGgBgYMWbRoMaMM7QCDMHsYKZ3VEui0+umsZmYOQ9YkavaLq+sYM0UITkT6vocXxVVFXhmDVk0iEhmDJKQQvaAyO+u8M+2JaNuOiJSYSEkhLIAAlGWFKFmWVfV0eXV5fX1tESizKB4BQSfzMBhAjcJgbD8e4gNEAWIEFBfXCcwsjBLb2VAIgRDIog5RADSILIxoAMSx71vftZu+awC3f3r7xO9evi157QzAjshLcJ70JbipmG7vjBGAdntBov1DCMJe2EvwErwIc/AhOEER70JwVgIMbPlb9/+Fmb0xAhCQYfrJaIF4iABERAbV7733oWfvCivnl5fzw3tB8Op6+df/4X9v2j4vJr3n3vN0PnvzzTcOD+fedT50eZ63jSOyiq6M6IeIyHK5HJYBDKycpsIgAKb3vuv6vu91SHp0xl3wfTckhMuyrOu6KIpJVYUQdPSuiAxbIRwdzNOHFoJSduJyuWTNdJAYtGQxMzlZ1O08KzTDEMSzlxDcyckJju1aGiGRUABxrsssGQICX+b0dLNg3+YWfesFGBAYhVlQGJlBvB05hMasDCAgEXLy6WxdB4w/SRucAUmGxAEaBERhGcZz9n2/XC4n8yOtB4O99t/LtyevnQFIffbb++UmEAQvCgtSjR8V1oi5s+YAxAelERMOwfnAXoL33oswBO+9JxTvfXBe63UAkF68rm1hEmoLlAhAGEvPw3ZtFFSfeu+d6xSHYfYb1xLRarVqIbtz//7B4dFnZ4u8Pvz82bkpympSr9fr4FvnehRnbd50HsdR72YcNYyI89kUBk8fLFod2YiIQbuHTRaxeEW+8jzvuq5p2qZpOtfDiJ4H3+sjGy3n8JTWq0UaNsWnPZvW2r4cxKMQGrCEiCDBi7b4KojEXoII+8VigbxthQMc6FzzPFfzJq4rifvVVXN9jnVJW/akIQGQfgEkydRqThcRSWkoRBgNgCAaImIdTU+ESIAkZEAJMICNQSZSI22RJLjV9fV0dgB78ue9fNvy2hmAKFHF/EH746us5DAMwAE4gFI+iqi/z8wSvEgAP7r/PrB3AAzBc3AEIL4H71SJA2jl+zYIkJuXHmt7hIERjUYBAAP1NAKMLA8M3onz3HfsgmO33rT3Hjz89e8+2zj8d//Xn/zrx7/Hcra8unSej+8d37lzB4DPzy9dt8kM5Xme5RXjoH89h+jtXl1dCW89d0S0BILIgBouWDsAR0Z98izXcsmqqqbzmcYTKGCtBQ4gOMyoR+EgLCF4FmAQ1J/DqwCU5TEk0sjAOacphJ0PRfdY3OJR1lqbmcxkOo24KIrr62tjDLB/8uTJfD6vqqJZbwwJohAySkAkQDZi2PdK2CkijIBoWHEg/XR0JNpA8UZAxKPlQEREo/8hETCoAwyExaCgIRd841YIvEP/OXDkwT45vJdXJ6+dAUAcknZRg8CtsCBV9OmerZsvgsLDiFlhAhFh4CDivThmr/T96AM6D96F0DvnAMT5zndtIUwI1vc5oPfe6JB3IgFAIiIQCdZYBCWRRtTpKIKsV2UnIiRiiMwwNCX4zhtEFHFt69vWonAI5xfX1fGdzy7Wn5+t/h//z//XonVNCEeT+snnz95673tvvfX2vXv3RMR1rUEBCX3fGVsw3gCjVEIIGhDImNpVY9D0HQBsk73eMwcAdm6VPr24XRQFERDZYVYLqgcNZVkjCpElAkSDKMqGRM7H92rMYa3Vn9EUDf0BzNqzNizGuU238b6HACKhbdvJZLJarcqyPD09ZbRnl4s36jcWzXWe2Tq3RAzCBsQgI7EdRl4KMgkQAw2D7O3AEKdFPoNV5kDGMuq8TkFh4uEZugABAo8japgBAY3Q+vL5wfFdybJ168BYwcwLGGOQIUYhX+0L/Qccu5e97MhrZwC+VG67/7fNAwAAh62dYK9xgFb9s3gIDD6AdxwC+wDMEFggBO8leGYBZPABJQyTsm4xgN5ewxZ6RoBhSSyCwkFEjLAhs16tu7ZFgOViuV4uTTHZ9PLZxfWP/91/vF63gfJiMv3N734/PTzuuu7zx4/Pz8+99+CdMZghOA5INq1LiRe1Y5Na9PR1f1VVulN9/Phq0zT6cCI+pvp6vV4PJTQxSQ6AiNfX1/GinIiOioyLiZLneXy7isYHmDxJNRj6M8/zPnAfGJw/v7rufPj86TPKchAyjJ6FhgYuBAGWgMhaCKSVVcMIS0QUYtTRY6DtwsOHomGLpkAgfkAgIGF8iiKCEIb5MMGDBOCA8BJQci97+dPL3gBs5Tb4s4P7D1DD2P8VFZyEQRiGnIAEDxxg3O+DDyEEdq7vwXtSPrewLQC9nf6VFxUawViXIuMxgVk4MLMRFpG27zrXI5qrxXK9XB3dP7haLhnN3Ydv/Pq3n5azwhbFdH7wwx/+xfzgyHkO3jNzhkAERjiAGJuHUa2l4ZFmF/q+V80eU80K/Uf0n8f61KOjo2gw4k9EPD093ZZRjtpfXfi0xD4+7TA+pfhAUvuRgj+6ZzKZpM8qbTXQyCDPc0ScTCaPHz9+8803f/+7T0XE+2AAxEA8FYEI6iA3ih+BKCOHFh6Jzu0UzeKiAIgQIfIwPFn/MaZx5GjpJTjnQgg66HNvAPbybcneAAzyYjd/3L6RAEgAoh3zwMISmHlIBUcDwD6E4J133nvyQRA5BBiAbETcqqovXpuoCpFB3Qgrx5wHZgZ2XQ8AgnR1fdV2zhb1uvPLDb/zw794drFEWzCZ8+vFgzffBjQ2K1h6Q5RlpjA2BCeuZ4QsL19YmT6bzVTjK/yiEQAzt20LI/zS930YpycuFov4ZNKkbpZlUYnrziGZHILaiYFlYTxA2wtu2+ayLHVDzxbZpD///PP0ivFd1tqu6xCxKIqu66y1H3/8cdd1s+kBsB8CFRQ2NM4j0BL94VnQSEtHAC/U15KQiDDz2N/AiqeNr4JAQDZAqAYAo5lHln1HwF5euewNwFZSbX771/Sw9K991wYoLhE4zhIJW3EhBDM264oIochoANII4Palh21EYVQjNJAOqSMcHDMvVsvJZBbEP356nmXZweHB5+fL8s7Du2+8/dtPPp0dnfoAaGxg+PSzx0+ePmcGazDPrRHwvsfgwRCZjG+tRxW0alVjTJ7nRVGoR68bahJSOOitt96SF8nV1VX0svWh6PmXy6UqzXihCPHfsL4AevzZ2VlqL2PokBqGWMwacwZDJVIIuuzNZnN6cpc9Bs8CzrMYVCTfAIxFVyLaYaDTzQAGIu5d0SHFosgYMyfzeUgEdSDwYLhFpOs6772VoI0CrJ1j+1hgL69W9gbghrxQ1+8IvLxJGEelD8wSAo9Kf9T/XgKjJYsk4KNGw7Enlm6yz6fGQAW100B4GBwgIhyAvdbGdC5Q51brZrHZTOrZBEwT+MO3P1i0gTHf9B4w+/D7f05ZPqlnRT0hIiPM7MEHAM4J0RoWjAYgqaaH6+trHvvLooIGgM8//zyuU3W3vqWu60jVoIkBvcHDw8PYAJze+zBqMXHncaz82TEAul8VfbyoiI5RoHjMzlMdIBciRNRZYJPJpO9771gIjTEkAYBZhmkvgcM420evK0rK9LKk6/gx3QgcERGQhRX2x+F1ZBH0zo1tE1rWCi81LXvZy59M9gZgkBeqfrjl4MvNHMCARI+ePnMI7MQ7Hju/gvPsg/feB++cQ/CAVqd/MfOAGt90t1+2Nv0ZmEFnzt/wjGXT9kR0fnF1uVhU9TwYe73pju89zCezz8/O86Jat34ynZSTaZ6V5WR6cXGR57kR7roGA+e5dQh98DYbqoDg5myW6XQaW8NUy2dZlmVZfA5K/6B6FgD6vo/Px3uvzBAi8pvf/CbyqaVOerzHVHcjYlVVt91/ANDksIhoPZIaAGNM13XxWe08Vc1ji4gxpu97a+2zZ8+Ojk8tmTIz1hRGSLgJjCBogCTOFk6+GrqNwAAy/NN+7GE+QQBAACMxdtHWMQgCqEOOBQSBvQ/A2wKnvezlW5G9AXiB3DYGt39NlS/fFNEG4JgcZifDJPZAyKReJAuw54RYJv35skvH64IASkDRWhQBgLZty3pyuXh2tVyf3n24artN7z/4wdvn16t1G6ppWWVU1pN/+dVHk/ns88+fnJycTKvSGtP3bYZQVRUHt1wu5wdHEYtOr/7xxx8rzYM63QCgQFAIQRkgVMqy1MNifc7OLWgWQcY0sp4KxhSu915NyGBrEdWQ7Gj/9Gc8Ug1AVVUw1v+kloaZtXBIEwBd183n8+fPn282bVXkZV4Yk6GwiAHxQdgAMQbUHl9lc1D2Z4QXJwFuBm0j7p+kr/VjRwFhgSFnTgI8kD6xjGxDLz77XvbyJ5DXzgDg2Acg236urX6RWwKJv6/upACo2tqi2OPBQceBiUdlkw8MzOIH2MRYJCSR4L1HZkS0ZGgkfbvt5w6Xu+ka53nedY3ucc5nBsnY9Xrd930QOL+4PLpzf9G2T55f/OjH/9u68x0yUrZaN3fu3X/48OH88DjP8x/84AdllsugctiCEJEhICIBGgsft7cPAKrTletNWT815VtVlXNutVppf1Z8zsysjWDKE6cQkN6C7s+yrCiKCPFr7jdyw8kI6eBYXwQ3NX6WZenHmq42fZLxojT24hpjmPno6EhEfvrTn/6Pn/1jXdfO9Yvri8NZWWUWhYs8c+s1MBCzIn4Ew/wZpQIZSbsJblo4ia3aWjIqYMiIhAFLAhEwgEhEVWGWy+uinpfTufeByFZl2fW92XcH7+UVymtnAF4okiR1052w++ctL/sZJYQgYwJgzAF4Zq8FgQPnDwAAIzCAcgybnevuWIK4h5kRCRiVVUaAAXBEn3izXpM1XeDWQzU7xKwIaIEskTk+vfP+++/P5/Pzy+unnz8ewBwRkSCBURlJWQTBC+NY55NlWSzfFBHdUxTFbDY7OTlRnd40DY9DcqLFYmbdH6lAl8uluvaq9GE0qzGpoGeL9M5xm4heaAB4y4cKkBhp51x8kikEpNVHOtJSzYy1Ns9KRPQcyqosC5tT8NyKC971RsQAMQpKMLL9kpAI4wu+A5oo3kkR4EjXCjBAPze+SyzxucHwlYB9TeheXqW81gbgtoqHL9Tvt/fICOVHBSQ+cAjB9xI8s9/SBBG8MLqXWwKJP5seMKi8YfrjUDwELAqbMPP19dJkRed8H/Dg5J5khQc0JkPPF2fP/6nZGGM8S1WUStZvkLTsMrfVqOjFj9Ng4hq8H/g+vfebzYaTNmAR0aSuGoY8z7U8VESOj48hUcHRnd9sNjv3ziMrnBqPgchuLP+PwBokBkZEVKGnLQUqs9ksvWi8VspA55zTUIYDLBaL9Xp9fHhwdFh3zguH3BoIRoBZRy+Pz0Hb75AIecgDDS8NWYEbuh8BUQy+CMQDAJQAYJh5mAgEQyShbENf+fu7l718XXl9DYAkvbXwIk8/bt9WzbvCL5JhLq3yRtyo5IGEAfL2n3tqaVKfd1yzkcCERIhBORiCc85571ebdTk7ajrXQz49PPFCnrEN7cO33zo5OvXsLGXHJyd1VTnn6rpGGAmf07lmJLF4JsXQVSNH1CtCZ4vFQsYxANHl995rkjaFzlQODg52TIL+1MhA0wkRKTLGxKcLSRdYNIcxOolPfT1MCqNU+wNAVVUK3EWbkWVZXlTVZPr02bPMUlaU3aYTz9YCB58PLA8Dw6ty7yFqt+9tkx29+NSjB0AeB7fJ+FnrXJstd4UMgQXvWYD28urltTMActPrTxQr3va74Zb7/8X6X1WMCIMIsCALihI94MgawDDU/A2CuGsCUmQj7olrIBiTFqhjZpT+0/V9HzwLGhe8rYq8rFsfPKBgKPP8cDbtfB9633dNv1kvl0vvt6yfDAqzgEgw9obPHjH06XSKY2dvNgoRHR0dpQp6xxqqrx09ehFJq3TSjcvLS0o4qKMFSiGgtEGMx5Ey6UX1EpRIvIr2AQBAzEYURVGU9Xx++PTZs6ZpMgsQAAmFiIEYAIBQmOK3QlgEEIkHGj617PE7M0wE236syKrpRQICsHI+4AD34UAMHkTEoLDsIpB72csrkNfOAKSyYwzSnXH7hSYBblaCbrWehBsHiwAK6j8F7LfXSckjXyDpq3CbE4IFxq5jhdE3m40xxnsvSNV0IkRt25ncAsBnn/zu+vwiLzMJwCDTejI7mFfVjIiyrMiyzGSFtdbafIBYIER7FhVr27acNLXFp6GdurqhhUCqtbUaR5PAuieSRmAC3EeJ6V+1Z1ojDwCas03VvR52OwkMiWHAm53ViBitkXYsa5jSdm612lxeXrq+FZ5O66K0GYJYm4vvJHbbiegwTh0Cz5Eqg29HkDfCSgCQkVI0zQGICACmfXBxnS8rMdrLXv4U8poaAP2rTrXqjnK/ffDOAS+LCVQJibAAC28VZSppwycm/VY7BuC2PVDHf9BIanR8YB8k8HK9stVs07VC5Wx+6Dh0LswmeZlleVXcOTm6++DupJx45jLP6+l0vW40SgGAIMgMXe+RJLgeSdTTV92t6ltrKCP4E5d3fX0dRopmHkv+mfnq6ip9sNE9n0wmaWwRn5vOEUsfRUwLxyumZULqzseX4GZ/QPp4df9kMomokb5krc2L6upqMZ3Nri7PhX1RZCE0fdsUVkjvcQv0a4aXg8eoxxGT7P2wCkZABDNEfnAj8Tt8YUAQWABZOCR8UHIrh7yXvfyp5bUzAF8QaL8oFOB0p4gMf8KQZEpBtXwQiRsjbK0beiDJ2DMEMHCHMQIrDvNVDMBgcgayMdk2yDIwYNN08+lx1/ZUm6KaeC/MYq398MMPq+lEK98Xi4V33LbtZrPJskJbkxARyBqTkTVE5LoWkNMF6EZd1wCgGln9eq0ROjw8jNo5tnSJSMoRFJ36EELbttFP56QKCJKER5o5iLkHvDlDWMtSU/QpZhRSgx3368hJrQJSY1MURVnU9XQ2m0436+VysbEkIAyCdTVtl5cgOpWTRAIig7YsKO3n2NYbH5GWc8FA7sEAJENemERiQ5mAlnABkgCKoATSQBFgYAbZy15eobx2BgDBAAQEg2CUsRFwKOoHgFGJc9T1JABgEIRFAgcOQQILMzADe2CPHDh4EBYOwMH3TkaExHMA5gAihPrnDjpJHFiYiVl4ABUQyBAaQ8YQgggHYwyCgLDOEkREQmAiT0zWsg/oxBjDnWvb3vUBbXWxWC8cvPPmfRZqO3/v7gNB+tWvfwOEqu/qup5MZrODw6OT0/nsAK2xdsBnCAc+57ywKTQRkRPF0GNZ52azUTjl008/VWUdC4HUr48gvuYMlHuHRo6H24aNk4aMuF9EDCTRz8uhnng2F9t3U1wFQC1QHFqpexbLq08++aSu6+vF5cXFxV//1V+uV8uA7JmQMmDh4JDZAiAH1Jk7noHQ6DAvaXW5QFYYyBqEDAyBQBAGIRwSAwQABhGACQmEAwAyFtZuFqtw3OfzSbdpKcv8yB7x1b/P4zjRW9/zl1OL/59SvsCxe6G8bs/nZfLaGYAvkFsRgP4d7v6BjQ6dvsoiMnCFAcfxXlEYeaB/GX7dvqL/oT8s8FfGAZ3ENUBJIhgAl6uNz0ssJpQXDNi0rT+76F14+O6jyXx29+7d09PT6WQOAF3XdV2HxgCAc65t220tClHXdSnpf4RrNOWrL6UKOhb/qJuv6WgtxpcXSerLp1VGmkvAmwxuIlLY7PapYGxMiykKGO1KH3w0DCmmVFVVvCOTyMXFhbX2cDknos1mQ0QByBjLkAkGQFL3HlinVzJwALCAfgi+FJgCIUBgQCIWADFMjGLid0czQEYAgQUJBUiZfySIMLCAEGnG+Ct/Ffayl68vewOwKzue5tjgs3tMqozkJkyUvvTNS1IqLoKqkVgnEDOXRSEi6/U6y4rvfe979x+8UR9Nm75br9cff/yxdwOHjzEmBPWgBxSbiFQ/qrOv6ljBGX1ps9mkad4I30+nU/Xxq6pK8X2t99+BkgBAswV+lOj4x+34Lh77KtLPJUpZlnEmgYwYFCLaIh+e080IgJn1vvRURKTxiiarT05OnHOLy4ujw4O+3TjvwRAJQVp0tEWcBtY2JQsaPmukYWrnuNrx+qM7j7xT/cUJVPgHef172cs3JXsDMMiOEn/ZAelf+I4N+JOrfu02YiEaRgKIiBf2HFzwRV09vlo6W90VnlQVmfLy8vLyarH2DWW2KIqyLCf1bDqdTqfToijKstJh7hE6jwg+jQQMkatHbYDe2sA82nUKqnzyyScaFsBYTat69uDgYLvsJNyeTqcy1vDEkIJuUj6o6K+5sfCiWqnIxhEvoSdZt83OFeO2mpmu69q21dCn7/vHjx8T0cnJyWazefr06eHhockKYzIJQUi1PwZhGgyAB0CBMOSGmXFboTuMZ5DAQIiMQmFbE4QMt5qEZeircLCH/vfyLcneAGwl1d073v3LfsIt1f8KzMD2uozCGAKHIJt127btaV0bY66urgJmJ2Bn88MPP/ywqKvZbFbXtTV5fO96vSEiIidj5aVW+ESUXIF7RX5grK6J6I2yPRPRO++8AwDM3Pe91v+otXj+/DmP5G6x/pKZi6KIDydFgbTfGADS8WEiYnELwaVOfdu2iBhBnnhfWVnAzTYCGucEqLWoqmo+n8f7Ytev12uTFwDASDo0pu27AhEEQUh9f2Cm4EGEFLTjoUBAth0kjCjMDMqxARqgBUjJfW40+g7WVLlDIPY5f/PflL3s5aWyNwC7cisUeDEEBC9X/XDLSHyzMrj/AzQhIYTecxBuul7IABogODo8ev/99998653rdumFnz9/vtlsmk2nQxyNMUVRWmuzrKCEfy1W5jCzDn5Rx5/HyV9qABQLUiiprutUL0fd/f77799+RACgUE/ke4h1kJEvOnYM6Nt918e3R7xIRCKaH9evy26a5oUPLcJZmgzXxmNmvnN8VNc1GHvnzp2maRjRGFyvrrNZDdrzJVs2CBERVNrOGwVIiCgsiB6YBI0wI6X8Tgm8g1pCRogoHFiQ+WbqaI8F7eUVyt4ADPKlinvHr7+t7r/6qb6O4HYOLQliEA4MzDA7PHz+Lx+Xn312750PHj565/TO/cXq+v/zt//1YnE9mc9OT0+Pjo6ODk/KsizLMssyY3RUbx5n9kaJ3V6pwlXMXcEfLQTSA3RQjNys3lH7gQmnW3TVtUwolpOWZan7J5NJ2ncWFXqZbaOWdCOOlsSbncAmz+CmhdZ3qQGINanKn+qc++1Hvz44ODB5cXx8XE9mT598/ujBfeHAIiKotZomaTVgERYBLeEPHhEFdEAPiRAzAw29Gnr5hOAh/SYMO9Mk9p4Iei+vXvYGYCtfUY+/8DD4QpPwzUrsIxMREAqAgXm1btDA9ODQe//b3/726np1eHh8cnLyV3/z13lV1nVtjPGOVev1fa80ot4PeyShSlZ9PVyLSKv+ZRwGqWMAdD5MrN7hEQ1XkF2xIBlJ/9VsqLOvGEtauKk3Ejt+423qr3VRxqqeKACglBLxUcds86rZROuinQpatqSIVlmWymkRLVO7XpVl+dmTpyGEvveffvb4zp07xhgQv2PyAQCQOYAACDOz5zjFLCAQiggCoARhQIOR5U2X+aIcgNKBhp2L7GUvr0xeOwNARCEp3mBmlqEIEgAi4JO4kACJcr/tWsYik6i/YmmHgtQiogU3SiKZFsYg0aA1RjcWACJlAtzSboCQkUEBHTYwaFjHnfNN288PDnvnrq4XD9969/s//MHx4QmQWW02F9dXm82mbVsOoA0BWZZNpzMi0gggneurbr6aBF38ZrO5urrSl2JaWDWsmoTYNqw6V38ty63iTnV9kvzcikYY0etP/WI7Tk9TiSwUGknoOWVMPhNR2W4hKX2Ltp71fR8Xo8vWSGhWV977O3fuFEXBgoj47Pn53eMDg2QkONcEAe+9BA8SUAJ7AEJgkcAEYAiMDv4aV6L/B92DrHX6cUXafc3IHBDRFkVxcXFx+uAd04fetVle8j4M2MsrlNfOAHx9+Zre2gvf/sXnjPYJh86wYTRw8BIEPIsLfHG9+PTx1b233//pT3/66J33F8vNz3/+803bUZ6Vk/ro6OjBgwcH86O6rsfxvAr75NHZj3BKvK5qVfWjl8vlFpcf3fzIC+29X61WmgfWQk+l3Y/VpRECUvOme+JLiLher+Ma9F26bQBvmMzENOI4WYyTmcDTg3l6cAwatL8BEb33TdOsVqvr6+u+b7l3s4NZWUzq+UFZTchkeVEFQAIyCdkcINOQdwnCJMGLCEhgVvMmgAhEKEEEBWhb2CM6BeKFrR48IP4ytN3tA4G9vGLZG4Avl9t/ll//D/VGJHELNcJhoOAu15jmLbUvaUS02bvgPVf15Pikt1nxm49/99nz86KazqfzR+++/fCNN7X7TESEYblcjlBMb4whsjzO+VLFPZ/P40xHpU8oRoGxHlTL5w8ODiLFZno7ur1araJ2TucHRCAozQPzOBoz6vp4wrGFbjcHMJvNIB3KNiao9Wb1VIr/ROKHyGM6mUwODg6yLLOWXNMy8NXl8urqii+vm961XR98f3o4A2PIWMX9Y7woIhzcYHJgCNqIyJjx02QhM6Toxwev8P+NSlAZuS7GPgCBl/T07mUvfzrZG4CvKl8f3Jdtc9D4a/LzhSe/ZQYCgAILW9DJcfBBhHC9Xj87P3vbu/cePnzjzbdJTB/8p59+2vlBvwtvPfqyrKy1eT5oyaqqVB8558qy1GJNa62O5FW20cj1DyP3p2aM1SqoblXjQSMbKCYUPZRw9cCtQlvnXArdRG0L4YaBiT9j4BKRtyGHgYNViOxDKuv1OoYFGnwURVFYM6mr6XR69+7p4ekdMpljOT8/v3j+TASRrLV5TyawmBAYvLBHEYWpkIYKsWgbiAKwAQKRgEIIQgLDSEkcDsZbDQrMnpkRlS1kHwHs5ZXK3gB8idxWPX/cX2mi9aJvCJB4zS/T/tH3V/tBgCAQxje6EHwQx7JZt9dL/nA2//GPf/zg4aPff/r5p7/7zBY5oCnqaj6f379//2B+pF1g1loAVcrbBi7VzjrLRWEiXcaQLG1bGKst41hgTfDqzqZp1ut1vJFYjpniMDv2IN0fcwYpzgMACgHdrutXOxRXDkkyRhPX0+k0rXCNhUlxqYvFwnctIcxms8l0RnmVVdOyqrO88MKOQ5ETWQPjNDGCwMELkPdegrPWIhlATfaY7Yd4w6KzAMi2AEhEdEaAMsRlEA0Y0TCaYU8IupdXKHsD8OXyTUFAaQSwBX/kpVmBHQjohvPIg1IbvF3vO9efnk7u379/vVg9PfvFxcVlXdRvv/323XsPKBtgEATjnNtsNiEEGEec7/Bx1nUd1Xos+4khQqQCnUwmsYNXEiB+WN7Y1hsp2KKfrvX+PHYbqKsuIpeXlzv2dcD6/XaMV/wJY2NahIBkzAF03sWCH71rPZsuODKYHh8fW2stQrNZ933fdv3l5eXm6VlVT7z35+eX0wf3EIfWaH1EhCF4L0B930twiGgIhAURjU5aCCjEkNiAwRLcBPQQUT90tbAiwhxgtMSAewOwl1cnewPwVeVlfvpXf/v4E9MIAF4eBETfP90zjm8UCRyCeD80VXWdc4GvV8vFYvHorXd+9KMfGzB98I8fP3YcFOX3bltdc3p6J8uyPC8VutGwwBjjvY+hgCruvu+J6OzsTJV1CGHgUi5LHRKgizTJsDC1HBGricPliYiT5qmozfXtnMybhFHph96lTyk+llgwupMERjsMJeaRu1TX/Pz58wgrqT2bTqd1kddVWRTF4dHxXcrWnUcyy3WzXq88B4ChG9l7TyF48BxC4NB1HbA3xliDMUpDTI26xCSwSABBQBKR6NzvhCwiAsC47TfYy15ekewNwBeIVptsMWiVbxao3TEGLz4gsQHMDIzMwXMIwvEfGdM3bVEUb775xtHx8ZMnj5999kSQusC2yCeTyeHh4Xx2OJ/P67rOsixWAUUnV/VXJPrHhA5IlSaMEFCKsGsjmPdeR4ZBot3Sas4I4+R5/sLbxIQLSDEcNSRmWzF7A0SK10rNJCJ2XUcjxVBZlrHKSBPail9pL9v19fU1cJVlvXfTyayYzAXs/PDo7ukxyTvPH/+eAQQxaPqcAUAgcPAQtMwpC2wzAdYsMY2fIwGDMAGjMAKC9u4JGkTFq5Q5NH6eABJACEAAwx4A2surldfOADjvAKB3LRIgYu/6oijioFoRTP6BCKjTqspxyGGO2ieCy5x0zKo+IiJBZuGxBwC12B8Tdnv1Fg1tKZcx6QaIezBprwVgVcAsImicuE3fb3rXhdBLaJ0/OjkuiuKf/+nvN6vmjbsP69ns4PReUdVVVanm9d6362bll3meaxFRCCHOthUJTdMQDaMcVVQRRzpoY0xuTJkNOd5HD+5HJIqTIvbYqBVxHvXEKcvj7cRkL4xJYDNOgW+aZrPZiIjvBs4fvNlAMBazUsxV8NAJXESTEDuciUjNnvJAHB4eRraJ6+tL51zXuc35hQguri+zPLcZNe2K59bmZnYw/eyjxWlp18vGu67tHCMQkffsPWeZZZB121WlRQzsfYZEBASIIuwDkichIktgEAjBsAQZ1usDBBYSCUFQiAwaZv5G2CBe5qbgSyCmP/T4uH8HuHuZvOw8L5Nv1s164fllG6X98ZH9v3V57QzAvyGJVifdM2pb9jzAJY6DF3bOzee1Mebq+qIqy/ffeffhnQdd75edv7i4WK1W6/ValXKeFdrNCwBaka/tYNZaHV8MgKqvtTY//oXHEppYwh9NFCUEQYPnPjaOMTMiatmoMQaMTe8u/uGl7W/R5gGAaxtM6vEjjIO3WhbUEmRlFcapv5GBTkTW63WMMDQ4qKoqy7LZwdQYYykDANeE5Wa9Wi1Wy03TrPu+qiqzbprz83O2poIwKYvPnj8pqnIyqZHRey8I1lKWZQzDFMmhv1cCskHiIRkgAKBAEAKSsACAICMYjupeSIj2hBB7eZWyNwDfUYmqP/VTYLQB6gWnpfTW2ueX68ePH//7//gf3n37va5pf/GLX3z++Gk5PxBjrc2zLDs4OJjNZrPpvKoqraPXPGdaYGPttkonXlfGNG9EfuKqYqV/27ar1Srme621sb1AESRNJqPNdu40Kv1oS9IqoGlVQuI/xo2iKPS6PE6YUZu0PjuPZal1XWuiwlqrfQmcEJS2bbter9u+sdaWeVUURZVNTk9P7927AyT/8mtjTQAR54Iweu+vVtfnfXd9vZwjTCY1AHjvgzBRnpv8Rgw4hmsAIjTgVNpGpqkCeAn099r6oXv5tmRvAL67EiOAJMoeFERE52PW1Hs/neaHh4fOuY8++ujJ548zsO+///7Bnbu2rKpqomleRNQ5hSO75xaEUbXb921UoJEUCBGVfE0ZFNLm3oiewU39pQQMqbkaGsFegnJvNpvU/Y9nOz8/T88c0wDatpZmjHU9QgO2QwkPHSIqBXRKB6RrW22WIQRtDDaS2SIviszmJs/zvrk+KCvtHA59uzl/ulksD4+P43tZGGFIiuBYxnMDDBxz/poXHhLFY4JYRAD3LNB7+TZlbwC+oxJV6o4NSFMCsQKSmdfrbnbnqKqq1WqFQh988MHpwcnh0cnFat113XK5bNu2aTqd4AgArvcJkmOjB020dcbjAgAgkvzoRiyxh7E9OBZZavQgIvH4rcZkLurJzt3pxt27d9PrxoeQm+2Q94hBxaTuzuMCAMc36n8iCnR+fi5jVVJRFFVVKQR0fHwMABLAe+9b3nTter12i/7y6gxC8+jO8Xrd/Pa3v5Pl5ZRwVlfKQaSVUSY3xpCIeO+z3KaL2RoAXVfsCYaBK1RgGwGoAdjZuZe9vALZG4DvqOyoyLiNifZPqRTK0j55cvn06dN/9+9/+vD+GwT45JPH//SL/7nqHdhsLNAchiBmWXYwP4w1/grsq/qu6/IWlDEU/wy+6tgLpgSfShrhnGuaRhWuriqGDjsNXzEJvNWSACKi0Ul6pL4dwpaVExNRuxKP5FHKyTQWEU0mE71BImqaJuaiIwQkEpbrRZbZqpiUZTmbzQ6Oj4gASH7/Sfbs8e8Q8fr6+vr62rbtfD7TbjW1LsYYyiiWJH1xcjVCQKAloi8pCX0hLrSXvfzpZG8AvuuSGgC4qf13cgB973XO7a9//euzZ89LU0yns7uHB1lVT6fzyWQyTvgaunyzLLMmA4A4BUyLcKJejpSfNI6KjEU1O/EB3ApKtIYn1gVFtX65WL7wNi8uLmKgEJsDAAA5pHYi6lmFjNLSKZX2+dlORKIRw927d621k8lEy5lG8+nOLs6d69fLhogKU+VVWVVVVtg333zr4tlj77jZdADDAGEtl4rnj5EQvGhoZXwsMQeA2zhg0PWICAJ7CGgv35bsDcB3VG6rPP01qrqQCDNfXrZZBpPJZLVanZ+fHx8ff/D2+4BGMstkRHCz2VxfX3vvmUFEmqax1hqy2uqlVZhEtDOyUdWo1u/HJG2ap92ZJ5PWBVEy8THewmR+AKO6TDfeeustSBzhbWSAuw9ExkaweIY0WGEcMJmYglYU6KOPPtLIQCtBp9Oppog/+OAD5/q+9U3TuCa0bbvZbAR5Nq+urq7g0YMQwmazEd+f1hPlzdY5NlVVUTaYn4FJ/CZ+9ZLPdBwXczMC2MtevhV57QyAteQ9Z1mm2UtjzA6avCM3fbrtttw8YNB3YMQYFmYYCAxSrAMRCUnhCgmBRjwaDMU6dxlr2FNVGHEGEUgTqmk00DTw5vdOmqZ58uTJn//5X9y/e+/s8fPFcv37J4+dgHrlI+ivCr1UKLwoislkEpOrkRUu3pdubDabuIw4MEAPiAYpRgOQtDGnJgEAGEkPhrFUf3ieIjFhkOZ1XdvExq7UxsTkRzzPAB5luR6vkE700xWhapqmbVvlAtLLHp0cl2Uxred37twhtk3fbTabtm9Wy7W1+Wq1YQbvAiDlWdl3PstzGsmICCkzeZZlaLckRfqpAIC1GRGR1UHANzjgCBENdc5hZozNmBkMGGNc75BQU/34opT415c/9DwvO/6bOs+3JfHB7kRsr5u8dgbguyDpHwMzI92ocUyRk/QtO6D5jjx6VP+vfzl/988uPvjgA2b+x3/8x4un55dXi/npic2L+Xw+n89ns9lkMimKyhhTljWNtPsyXg0RIxF/xHlUdPBLbNSKGlzpQkMyzfH2PULiufdhi1/F9mMZO40jkhOvguNOvVC0fHGIPI4NX7o8L1t+UE141HWtG2VZzudzvYWu65qm6ft2tVpeX1895afGZJNyMjs4Ojw8LOt7RGDA1XX57Nmzs7OL6ujAOW/qYue+ou7QiASHHsBdnTL4/rEM9Ka6wTEJ/NW/QnvZyzciewPwigQRb/+Bq7dLQjAWOMJoANIymx2lzzdFd56dbY4O4N133/Xe//Y3H/dt99aDN//iL3+UTWo2USEZEen7VkQuLy8RMdJYwgjT993QkZt2ZsEI9WhqN74FACaTSXo70RFOk7qpG3tU1akej/5XlmUxuLmRCg4ebjrCemlrrSQkdDJiZX3gWAWk7cQXFxfOOa2CLcuyruvJZFLX9Ww2s/bgvrnvve/bvm173/nr6+vr66Ug3717fHFxMbEnjx8/cS5MJhPvvXOhqG7c6RDfjKHeEOhQbJEDNYnbeWEjBIQjJZSeJIwP8Bv8yu1lL18qewPwqmVQYaMCZWYcFQcmcLbCRykulPr7t20AIjx6dP/y8vIXv/jF997/8M03HnEXsiL/9OnTjr3iHn3ntZiHiIzRss48FssPAAtut1P4/vr6OoI5qQbX5MFtyGhXj4/rb3oXD6OkVD92DqvxiJYGgo9HpukHSSCmtN4/KytN9h4cHMBI/hNCWK/XOpr46urq6upKkwFZZg6ODvLcVuVkNjtAxnXTbTZt022ePXt2fb28ezB7/vw5Ec2mB971fd+LDI1pqQ2Am+uB7TpB8RxV/dskcGJZ08/9FX4N97IXgL0BeGWCiIAYO7kgogeYJBaS1t8dpR+3o9KP/jIPXJhwfn6+XC7v3LnzxhtvNE3z0S9/7Tksmk7sULVSluV0ejSbHlRVVdfTSN6pdUFDGmPcTjO6MHL7xHXGxWgFEYyBSwrppHo/rvP86jq1IpAUCIlI1Ps6ecZ7n5ttRZDK7QeSak+TD5PLtBN4NpvNZrOqqk5OTmAkJlL8p2ka57pPPvkky0xVTOp6OqtnZT2dzQ7IYt+3vttYa54+ed5suq7rSQRxOz6TEgEiTopUYTQPMKaKhk963JaExm44A8eE/94M7OXVyd4AvFIZnH+50QSUOrYwpo533gWJhk1tQNzTdcC5+973vvfo0aOf//zn7aa5c3haTep3Do8xHyp59Fp5VlprQxD1qUMIzm3Z/IVvpB/TVcEIuJuR2FlEFALaSRiISJZlOyfR7XsP34gZbyVyUBc+3mY0D3p3BrZ1UKk51P4DHjuiY0ah80FLgLqu22w2y+VSjz84ONB092QyUS5oRATgTbvxvu9b71y4urqCxcranCzOZhNEvL5anp+fZ8xN01RliYjxo7sRARAh0E69U/r0ENQskOaDMbmdwVTwcDzs44C9vELZG4BXJPiiWm8cy1dSFYkJTTyOs0TkptyGgA4OMJvNNpvNRx99tF5ufvBn33/rwZuX11di80AQtWHTNBwAAMZkr4GRWx/RIOJsOodb1G+pTUqZ/bW1aucu9DDN2e7cJhGhzTQcAQDNJOslImQUH4W+RdlA0zOryFjUFClLdQz9zNhoUbTbq2mamA9Yr9caHGhOOM/t/HCe57YuKQRhx23v+973rbu8PG/Xy+76yjl3OJk4F+zUxuQ8JiiWuvzG2B0rmAQDiBI3SZAxiWlSiGw/DWYvr1j2BuBPJcr/CGN3PwIgAAkgS2oKbmuNGyeRmD3WnyQiwsgCwugBA6AAAcCqkfun1dmz53Vd/8Vf/NUbb7zx7MmTq8Xy8fm5jKXxImLzbFJNq7rW0k8Ff4wxeZ4XRZVlWZGXcWFRvRpjdJKXjHNXAIZRYtF5T/npmHk2m0VWzjhxDAC8DCYkNWMaiPA4NV4NgyJUfbOBWwlw1f6YSHxiRT3RZWupflmWJycnushoBrquW61Wq9UKUZbLRZ7nVVVX1aSaTOq5FQAWf/782aQ0Z+tFbm2e533fIh5q0DCiNIxoAUDQoCARIVkAZEQUYUBCADSK6URbAMDjcnWCAIIQ7vX+Xr4lee0MQAjKPt8hCiJqfcjoruo/Hv8JgDBvcQnmLRfxC4UADSAiMZFYgyxiAJmBEVhyNNYQCqMCxuMQ8IxMRgZYAMQYI0TMbIwVEUAzXpoFhEUyWzoDaDzYgFnG1vYgnQ/WwNPPn/74x3/9N3/5I5Nn/+2//X8vnp89ePTmnZPTejpRHNwYA0S5ydAa9fdx0OaxXwFBBgUVQlD3WS2EgkgAoPWXajOqqkrLMTGBsyK4sQNwhZslrHG/sutsn+SY2t1sNpBERanNgNHwKC9F13XaneBct1ot9DONBaCTyWQ6nR4ezu/ePdVbUzq5ZrnqNn277s5pYbMiK4u8zDJLxuL1+dVqedW16/KgRgS0aDKiDBCF2YdgjciYnbaGMiAEsmQyIkKTIREQEhYyEHiwzo8UBkHDDIbyvuM7j46ZEQBtRm3nrPnDePblJTmDvVH5YknzRun26yavnQH4U4u6+SqcILokQAhGQFhA/90qbbzxRytjRxAAAAEAoEGEcUIZMqATYMEAIowXC/i//+8/+uu/+tFHH310dXX19nvvfvDBB0VRFWXNDF3XXZydb9rGe691Puu28953fR9CILI6ISDLsuC33PqqoHfKgWKVfawKhZvVOEMy2WxHM95Q3JlNkaVoAHQ+AY90zRoEAMDR0dENsGV8XBoB6HkU0tEDqqoCAO9913Xr9Xq9Xrdtq/29V1dXRVEoIehQDFqUfn4cQuicb1zfBQ7im947D//w//s/phba1eK9t986rivrWiBhCCIiEJAETIzeiAUMEAMSEAAwkAGQAesfAH8AAJRhRNj2U7YIZhgIttfae3nlsjcAr1RGN/vGnhceGZ3o2yhHBEMkod85OYDHjx//7Gc/O7575+HDh++8806e5+t18/O/+zud/K4XttZmNjfGMA5+/Ww2K8tauW6stXlWpT57rLCMi0kKTxER67pWrR0Vt15Lk8A7NUtE1HtPSYtDTGWXZQmjR58OqR9pqxGT8lNmjlVJZpxTH3nfptPp4eHhdDqdzWZqCZxzq9VKMxar1Wq5XOq7MjJ3Tu5qcniaHXiQ3rsQHEj4yd/82K0W//3//fGjR49qENM3eZ43TTM/qAAAYaBQjTbpj/gm3P5k97KXVyx7A/BKZXD29R9ueWzkJuePCo71gpAU0vCLSkKZOc/ts2fPQgh/8zd/c/fu3U8ff/7rX/+aGaazg6qqZ7PZ0dHR/PCgqiolgBMdRTm49hR1dFlMIgiTYjiqvqNtiCvc2Y6WQyv6U89dhXH7rp1aprhfkvrI2GcANy0fAGi3V9u2WumvNkNz3Z988omIFEUxn8+Pj4+n0+kbb7wRLxeTw67rP/nkk6qqJrO5LQsxJAhEQCg/+9nPPnz7zclk8pOf/ORf/uF/nH1+Vpk7p0ezVNcjos4BexkOM4RuL/kmAKTTb15TCGIv367sDcCrFjUAmPx6G4JExBQ/SG3AzqmiAXhyzj/60dt/9Vd/1TTN3/3d3zV9d3h4+NZb79y7/1AjAMXKl8tl23R931OWKwTkvQegyJ0pPLQlj+j2oL6dczRy8phxoK467HCzJjK+SjdlOA+H9HZS3D/6+Cr6quYe0qBExjJQAFBIJz2DMSaOJ9MxLxcXFyLy8OFDY4wywVVVNZ/PiQhZ1qsVMzvPm82q90EQ88IW1myWq81qfX15Vde18oYSUV6VIk44jmfAF3x4W3mp9ofEAGzRtuGD3luCvbw62RuAVySpDwtfIQE16Hrcoh9Rb6aHRfMxKYGZf/vb35rPP5vP53/14x+dnp6K4Mcff9y2/XK5XK1Wbd+JiCFrjCknU0SkgduyVmQ8yzLCTK+YcinLyL2DI/FOVNaY1OyHcWykiFDCkxzvUUTCSGka0x6q2ZUGDpIcg76krcuQWDuFmHTkwA5DHADUdV3X9Xw+Pzo6EhGd+9h1wySc5XKp19IcQFEU88kEEAHIg3iWznfOOXH9T37yk7BZXl6ezywapOM7p1mWrVar+bRIkbfh1v5wGEdEkLZNgMmHvjcAe3l1sjcA34LcVvppEhiT2v/Ut4Wb5Jo33w4PHx5dX1+fn5//5N//9Ac/+EE9m/7qV7/613/9eH5wZG1eFMW9e/eqST2fzw8PjiaTiRdQzgdjzA4EBCMrnBoAVbuaBoBk+GLqqmOSLVCbodh9er+q1qvpBMYuh5udzAPipG/BsQ9AI4xU58b2Mc09aP2PAkHee539KyLW2ul0enx8fOfOnfl8fnl5ycwKGenxzrksyy6fn9ksq6pJXlc2z0jAtV27Xv78f/zd3dns+OholpExZt11bWYnk/m4GAhhHAZpLaIBIK0ASP59yXcAbkZ1f0QiYS97+ZqyNwCvVAa4/9aeFx6MN3vH8CbavmMDQgiHh4fvv//+ycnJb3/722fnZ4j44Ycf3n/wRlVN6romorYf2sGur6+VlbN3znsvsh2qbk2RKnoY6/0nkwmPzA06JUZXHjd21qkefYSG4n7GrQmBxK/XnEHcA2OHBN6sL4p3rWszxsxms8PDw1h9tFgslPZ5vV43TfO73/3u97//PRHdvXtXmSGm06mGKXqV0Lu+78+vLvH6ymaZMSawkxAOZ3PmICKr1cp7VxSF9kQAhDQBIwIgX6Lrv0Buf4572curlL0BGORl6vXl+b0XC2uzQMKKk/59p0h3CAGFi6qIykudbk4BH1KX3xCRkkr2fZfned9fVVXlzy70Enlu79+/71i89//4j/94eHj44MGDe/fu3bv34Pzi6smTJ0oT5II3xliTGWNa55kZEPM8r+upllGKCIiJIIwZJ4KVZRmXxMw68F3vUXMDUUfHR3dxcaHFObEJS6txwAz9ZQruR7/eWsvJkHcYowRl/ZSxAU2vqNYiNqkpqlOWpVJ+6qTf09Oh3l87v87OzvS6VVUpG2hd11mWFZntug6NJaJN0zFzZgm8D816cf4cAs+nsxDCZFLleb5arY4OJiGIc87kWfDsnCObZ1arpIiIEAwM9A9kyPDYEZh8zbRzmBhALWvf94gmhMAM5o+3JnvZyx8sewPw7UsKkeueNNsJL2LUicFBRMOZ+dNPP7t7996DNx9973vfe/T2W0+fPv3P//k/L1cba3Nlv5nOZ3VdZzYnoqPTO3pVa63OCh7o22QX6lFXnZMRBTvGcmeF+hLR7jB39d81CZwWUKqiVzroWA4EowGYTCYR9tECnsGQACj075zbbDabzeby8lJEFouFtgUo7U9d18fHx3qk4j9N01xdXY1s2HgwmwJAPZ3leb5aN81m1W2a1XJxNKtDcCKMKETkvZMsN5lNP7Iow/NhQ4iAkr4MX8G//4qH7WUv37jsDcB3RW4DQYg3koREBKNyNMaEMCRgnXNZVr799tuPnz1/+PDhj//6r0MI/+W//Je+7w8Ojt5+572iqLT0RfWXjn+5XixwnEOiEJCq+671aelOXEye53E7rfYxyRjhFAsqy1KBHcXr1fu21nbexVr+eJs4ThaTJBeix5ydneFYDqThSF3XethOGKGW4/r6ummaxWKxXC51zrAednp6qjPC7ty5g4hKC9F13WRSKxzU9z0HVxRFXZTTKl8vLvumBRGDaK11zUaqkOVFvEthrQJCJXUQRhh4vBFGtm+JzM9JmS/G6t54TPqJ75PAe3mFsjcA377sKtDUrR4xdBExmmQcx630odf3OueP5jUA3L9/fz6f//KXv7y+vn745qOf/vSnk8msd2HoBL64uF4uNptN8AwAQsZaS0PJJhHR0EiFWVTuqXcftTOMwUHE8WM2ONVl8Qw7WetIBRFPFcOdGC6k6YH0+aTbmtXQNShUpb1sVVUdHBycnp4CgHNuvV6vVqu2bS8uLmBMYMT4YDabTeuqaZreD7xGk7Kqq5L97Oe//3i1XCKLMaas8uvVMOOTbxFc39Lgw4beiOCLTXu6a7hx0trfvQH4JuX2w1fZp15U9gbgW5ao11L/N1W+W4UIgKNiVcxHj/EeZrOZMeazzz77X//rf7357js/+tGP3v3gfe/9P/zDPzx7fq5VQFmWmcxWVVUWVVEU04NDa202dM9aa60ew+FGcXrU9TszeNNaoPQu9KZiyJIaiQHfNzdGBKfvkpQff7QrRVHwyA+h6H9MEcdGMOX3l7E7TO9FyeDyPD8+PqaRvS5OM1aKCCL6zDuBkNkCAPqmuwJwfbe8vFicnS0WixyRiIqiABBQRiYkkRusRNFujWMAzNgBYYlMEE1ubyfGwMsjgL3s5RXL3gB8+5K6t+l+vCkGgAGizxt1sQgcHBwcHBwg4mw2++EPfzifz//+7//+6dOnRPbNt96p6+nBwcFsNivryhiDQACgk7lgBFv6vtd0rhqAyOSDiBF7iUvV9WiFftT1Ozo9yzIZc9233eQY1sSxNprsxWRQDI/z7vX82vOlzr61tuu6eHVJKkoXi4V2gS0Wi4uLCyWty7Ls5OSkKIrZbKakQ8qP3XXtdDo1Fqtygoi+cwjSrjfg3e8/+hffNpNJhSiZsQAwPHNDL40AhABw57OLDv2Oyzm8yLcM594cfKOyjwC+WPYG4DshUffJ2BF6OwLQHIBGADQS9Oths9lsuVx+//vfv3///t///d8z8/zo8Hvf+96DB28cHp0wwzAN8cn1arVaLlZt21bT2VjGCMoGqhptOjkYx4QNlxhomfs+Xi6NUXic6BJbxvRUeZ7H7RsKzmwZJiCBjzAhEMWxuSyEUBTbxqt0YCRtWayHFjZdwHQ6PTo6yvMcEbXzebFYaIo4hg5FUVRVpf3Ai8VCutA2fQiBvS/zQnwADsE5PTIaPJuRFobCLdROVxhhLBSS8TdMujogSQBI8tG/sq/ZXvayI3sD8KUyVr8Mf7M6uomTbblxGADv+hbjWwRuMoQOpPECAcC8QBEQbn/iCNWjRTCIGFStECJCXpWYZU+ePAkAp6en/+E//kedDu84/OxnP2vbfr1ee+9tnpVlWeSlCgCQMWVZ1vVUp6mIIAdRlZrWX0bESRV31P4AoEBK1L8R6okVRGpIYrkn2i1daGpIlNwNkhm5ccgXAMRfYzZYJw2os391dSVJUgHGYQZVVdV1fXh4ePfuXTUz6cSC5XKpj1dE2HjfO9d1oWv7tnv+/DkDFDa3Re65ZxAgNMYIO0iHE4CEONsZBJmDsAARMxoiEQZhIMFAsgX3UQARgn5xkGn4AmQ736K97OUVyN4ADHLbp4vqT1SlhxsH77wxVrboC4gIhCBMQigiQCiMwAAsEpADAiv1fggOkQTJWCsQnO8IxBg7kAmjETRIljHWxefW5l3vy7JCs9w0jc3g8Pio9eHJ088fvf3WT37yN3dOT/71Nx89ffq0cz2avKqnjx49PD4+nh0cKhmcOrSIwzAZAIrQStt0OwpaRmgexlvDJLV7eHIcERhJchgKAUWEJOp65q2Kj1X/iGhtnoJIETsqyzLFweI5cWSP0BoehaSU8kF7DpT76NmzM+89EU2nUzVsxpgsM3meT6fTqq6XTb9p1/O6WlyeH08nucWubS+ePSZLNrOLzeb+0byYTAOIC31OBAC999j3ZG2JqLWzIQQygsgKqpEBABYRz0zWgBgWQRClfiAyiCYEtsb2ThZX10eP3t60zkuAcebwF39R028g0osbB/bQh8rrdr9/qOwNwJcJpq1gN3x5ABDYhgICQWSwEtHhE4S04AP1fMjEAoAEjKhdsqIDatLvqyAwgkFUBk0gFBriAGszQKd/5EVV57m9XK4++OCDH/7wh6vV6r/9t//W9/0bD+69/fbbb7//viAJo/e+7d3Z2VnbdM651nlERLIAWqM4ePccBG/x9aehQMwQqHTe4U0ZFp/gOXEPADgXdsICfXUnIIiQlHK97SwGRmBKV6KFPTolWDvCtCmMmZumaduWmZUiYrPZxD6yLMtsVpSzw867syeP0fers2eHB7Pl1VUI3hiD1iCQkLEjT5FQwmItQ0gRhHVaW2z503S9/hoGSC8IAKlVFxEQEmAAElB6pOF9yCB7hbWXVyd7A/BHSvRtvz6Gq+gO4g0NiGkTgLqO4zDBSMcGAMw8nU7VsX3+/Pn//J//886dOw8ePHj33Xcf3LsjaH772992zrdN3zRN5zwzIxAi2qK01tpM+5BtNADHRyc7EQCMWWIae5WJtonQvCrTHED6ZPR4VdwR6zcm2ykNGszYSOoZC5BUmqZJlxGDLZ30GxMDWsMKAJGjLSYJdDDA22+/7ZzTt+CY2SaTXa6aeTa/5n5WH7WLi6bZfPTRR4vFQjMNBiRGITB2bOkytKZI0aQv/g5IZPq8eRQiAggzg7a/EX3db9Je9vIHyt4AfAMSVd4fLarlEVHQaMwgw46tTtQNj4NihVGBzufzPM+VB42I3nvvvffeew8APvroo08+e7xsmqwop5P5fD6/c+/+bDaryjrLMluUxhhj87FgcVD62QjFpCU9IqJJArzZxCsiXvj2TriJFEWNKSJENloLTrgfNBRIEwwydnvtBBYjFGZjWWekpAaAy8tLGJmCtDz06upqtVqt1+sUPtLGNGNzk5U2o6qqiiKz0+nnn32q6eLhfoWZuSxLQQghGIPqoEuS1Qgh2Jd/+ukXA8c+r9R70DPEg3HfE7yXVyh7A/C15HYy4A8/ByEaIOWRsTe6wG5WgjIQjYh55OZk5vl8johd1z18+PAHP/hBnuc///nPr66uDmaTo+PTv/qbv8nLalLPqqoim3nvdR5Av9kAgID232KEfTbrJhqDFMCJSlkXE3O86YzfHSAoOuxpuWTXuXjmtH1MTVr6dhUeG4l3uIbUK6ekJW2IYI6PVb8TkQ4G0DO0bRtzBkodAQBkMltWzjlx7XO3mRXZZ599RgZm81nXOgAQBOe5qGsQ5DBCQHijV/mrfOioAR3c6PTSk4wGwCAm9QF72csrkb0B+CMldeK+kQgAEYWQtExQKwVH/GdwyQEAhYhgROF133Q6BYCqqkIIn3zyyZMnT6qq+t73vve9998t6+lis+mc+/zzz1erlWp+1rp8MoioWUeFdrReHoFU4abzABBxs9lELa8YlELwlNn4BFJ1rIVDKeGz3mlU3JB0FxORViWlD0Q3VqsVAKSTBlSeP38OAIMjb0wMIPI8V5zHjNMCNCVwdHSk0+GZebPZKJ8dmex6vREJk+m8XQFJ0KKmcQgBgYBGAEAYQAs4t1YHk6T0F3xPthZdtjvjxvB8kBBR+FYF2V728qeUvQH4DgghgtHiThiMgQEhJBpyA2AECZFRoXkeqDFVQetUXkRcLpdN07z55psffvjhnTt3lteX//TPv7xer13g4AURy3pycHBweHBU17XOAyCTWWutzZW5M8syYYhYf0Tw1aeOaosScTzAFzvuv3r0cLO8CgAmk1m6P55N+wwkSavoeXTIOySoS7QoqqaVRrTrOq320WSvov/aF/bs2bPNZnN4eFiW5WQyUVKjATUiW5c1Ac/q4mhaPv3k90VmXAd932e2QERCEgllPTEmQzRkLIwdzvpw6CVFOC8UxIEoThuDYwTAzPDl5T972cs3L3sD8I3JHxEHMAyzpKL7D0haLcLasEtafII4KkRjDIShyl51kGq09XpdluX777//7rvvPn/+/L//9/8uwU3nhyf37lWT6dHhydHRUTWZGmM4SAhBh8KT0YavLdzkxyod2KITICJ6lajKI6qTlUWK+XAysYsSKojo6n722WNIwBO8OXc+jav0nH3f44uqkpQl1BgzdjCIBiV37tzRUh+9C+0DUFIgDZsUEQIA773z7cXVZdu2T8Udzetf/epXruu0gaBrvT5xRsiyDIjQ6GORFAHbAaxe+K0AgB1gfwc53BuAvXxb8poagKhotvX7N0t6thpKOCqvVPCWEJEQBR9uwwLqS5IIqO/JnBEhYgghLw2MZf6IBMhEhIDKWIDG4NgjxgJaGdS2rXLZr1Yr5T5rmmYymdy9e3exWPzX//pf8zx/991333vnrWoymxwcNF3fbLrFYnG1WDrnNuumbdusrEIIvQvOOeXlVI2W2VwVqxZWaqJVa40ihq5oDzP3fW/yLFYlRQ9dDUZkANWXNFsbwpCDVQRJq/X7vtcjI+2EJMmDmG6FhEbi+vqaExLQGK9oMaiM8wNgHGijVHEnJycnJyfGGI2WALH3ITO0Xlx++vFvEDHLMgLs+57IIoIwkzHGZHfu3Fs+f1Ie1gSgLWkFkUZFesveezKYWY2rtgVRZoiEBsYkJERCBCJD667L83Kz2TRNczg9WGwak2Vf0Yf4Yqvzxd/8b/aE3xH5mhjsayuvqQH4pmTHlfsjvoWRMwAABIAQ0ZCi/4IEQoxgBgRZOwtoiymP5fMC4L3/+OOP6+n8Bz/4wZ/92Z9NJhPXNefn5//0y192zvedB4CsKIui0EawTdcjIpLN81yZEXSaCggys3rBsQLHGNP3feReVj2LiN57HfASO4HjE9Bm4EjbEI1ilhXR8d+JM6KbDwm9T6SC2Gk0i53DKlF/6ZGRuk4J44jos88+U8N2eHh4fHw8nU7V5GxWawBeL643m00IwSASkgETvPZtEwCzFh2BcAChbUkrJ/QPqesQw5ev/hX6t65/9/JvVPYG4I+UFKz4+ucRJQhAQ2QILZgbQ2URScbGAMVVfBhIgfI8JyJGZObDw8P33nvvzTff7Pv+97///fL6Ek3mAYqqPjw8PDw81E5gHQiTlZUaAGOMtXn0oL0LiqHHKe3qyHddF/W1qm/1670MXEAxAojIfnw+3vv4uLpupaoTxpgjplIh0YNRq+JNsrn4lgjBU9JTxsx1Xe/kafVyDx48WK/Xy+VSV6g0Qev1up5MXN8uri7bzRolKLKDwrFYR6GusqyVBFRwy5vEzJhYJrkpeIv2eedzx3EeA4/FXV/ni7SXvfwRsjcA34D8cb4/AOg0dho1HSKiITBkjBnqzZO6IADQ/xpjxDtFtBUBD8I688s596tf/YqZJ5PJO++8c/f+Q1MUeVmVRU1ELnDbtm3Teu9ltRYRGWjgIGL6Oi7GDsPiB0deu7T09bRgHwACbIc1Kjai6kyTt1Eb8sganWVFNACYUErsqL/4knMuVf3xADUAsfssamQYSf9TElM9HhHLsgwhaGKAiNq2vbq+bpt113U88Bdty14ZwYggGmao6ppFvLAa5lTRp9+BwSp85Y4utU/pSfZGYC+vUvYG4GuJfG0IiBE4vkknAI9OLgxe6AD4MCDQwK8QM5mqmkFAYfFnz549fPjwww8/vH//fmaw7f3Tp0+DgOtD0zTrpnXOERprbecDERmbW2u1O3fIZKBRjV+WZfTiUxeeEkIIY4yaq6iIIeECSouF4iPK83JH3cc4g5N2gfhGk9BOxMarnTRMvCgA7NBER998s9kYY7qu00lhq9Xq8PAwz3Nj0Xvn+xZBjLUEwjw0Y+h8FkQIIFprq/pZbskLd36xKo8RQGoORfazIffySmVvAP5Iuf2X/8edB28KJLqMgQhppzVMRIhIa2xEJC/yiL1kWfbgwYMPP/xwMpn89re/vTh71nv2ADYvirwqy3I+n9d1PamnZVlSlhMRmSzLMmvzqMQ1Q6ADttTSRLwlBX9kxPEdhxTJieuXBAdPveO+94PluNk2TGNWPB6cYiMqGpfc9r4j5oOIOt0+lgzFboC2bTWTcXFxoQagaRprbT2tlEIONKEiQ5sxhxC7swFgOp0paXYQIU7ITcd8dXqbOJrnL4GAiHYgoH0ecy+vWPYG4FsWvCUvOopkTAKrYlW9zMzFSNqspDeI+PHHHytPzr07J++893Y5nWZFWZWToihMlgPoMFvpfEBEAYoohJLqeBpmsJhk4BcRVVUVZ7OISN/3aoo676L2Tx1zGJkqIjmPDGVXYBIuIBnLdbRxLAYB8WnoCdVmRNwfETUoiQ8kmhDt5DLJwAAlhgMAbQo7Pj4+OjrSvgFEvLq6kDEFnRkjwTECad4ahBCJBBE1tSBa3opDZZExHogibTX+Ud5AjABg5Bray15emewNwDcmf8BfvlDkCDUwoOD6KwMYAEFioB2XUGlJtUWAh8JQATNA0lqxo2PQHz169Off/8Hh0XzT9mJM5/z5+XnTNJu26/ve9Z6Z+8CISEaLOHOFy9Ux7/s+eNbWsKidi6LQsEMvpMWg1lrl948eNyW1/1G1aVPxWN95Y+QLjPmG2GcACf6DCTdc+vwQccC+xicffyo7m/de/fo48L0sy4uLC++92oM4rb6wxhJaaw2QNdQzA3il7Dfb8cxEeREoYzKePRF6lhDEhYBa9qoanLdfgLhBw2dHCiBhcickIuhBmIZoCfdUoHt5xbI3AINEBCPFJQAAYZumS8HlLz2bghYATCAgwt6hAARgBhQUARAyiARIQhKAGTgAGgQygmiIgJDQKD4zGANBtqFzbT6pFhfnbHA6nzV9h9a0zeZqsbjP/J/+0386nM3Pz87++Z9+ERieL66BjBaPorHW2iIvi6KYZHmWZVleag5AWZT1pzFoTBZxpwEdAsX6t3ZCH4It8uiAR62tnnt8hioykrulbjImeeDbtZ7q6af7Y5yhDBA0FpjCSJKaloemV6/rOvJ36mkXi8Xy6rIXbjcrAsnzIjgHANr9ABLKzDAHZl427uhgdvTg0eXjz45yCz4ABZuLFQQgg5DnNvjeWmuQIDBjAJsjGBLS0UGMIGICQAA2wgBMyMyeMCsMZRZQggCZzAoL/iFjYV72VXxJKPmNneePxjy/onxb133dZG8AXoEQQEAwiEGAYlIX0SCK+oiRCVpbfxFxpIVUBqAthxhr3hhh0BOEgMgg3vuHDx/euXPnd7/73f948rTrujLPquns7slpPpnMZ4fT6bSsJ3meG7JExEovhOq5b5O6fd8mSV2KBqBre10zjOwFA+SNW6hHwRDFQ2Lydgey13qbFO3RwxSFT3O/ahi6rov5hthtAGNVD475j/jedBDNtrRpZJxWXqC6ruu6nkwmD+7e+fX/+mfgoWSTyDBZEAmhNygiAhxAoxCymJW9kAAJCKDRAqrhE2YBAwA63gtAkhJebe8QYgQBRCABQPAIgMKInmBIkQuSAFE6eGgve/kTy94AvCJBRATEbdXjQA6cZjKjwEs8oB2EISIkAHBycvLx73//8ccfr9frw+ns+9///v27d0xeUJ47AO+47/vz83PnnI58AWNDCF7HmvDWs07K6yll/TGkCncL9ehSO+/Se4zbNI5mjMFBDBTSA+Ie5TSlm+yeiFhVVbzZtOiTEgLqtKg05hvkZvvYcrlU26C1UkOmgUNdWEQENAIAhhAMOx9CsGNsgePYr6qqeGROhZuI394t3cu/UdkbgFckqvO3M17gRt8T3hJIECcY1A3Ebd2IWlUPds6dnNQ//OEP75/eMcacnZ1dLVdXq5UDCF6890GAiDJF/PNCRJBsURRVNdGRMgCQ5zbq9zgnABGnk1k0AGYUIjJ5hgn+YxLG5ngvqc2IjA47EtsO4q2NRgheCAFFAxAvkeYMbkvXdZpmaNu2aRodJMCu990mz/MQggZqRAaIRbPu7DUGsjZDxMlkMih9BLiZvA0h7P+Q9vJvUfbf21ckagBSR1FERm7IG+NTUhuwI6nLGbUeIIrw9fV1WZanp6cA8Mtf/vL8/Nx1bVZW9XyeTyYnx4fz+byaTMuyzGxujCnqCTMLkLW2KCrt+xURa7eOuTFZ1LOESkl0YzIwACgd9A4KpMvbwWH0XUrEv30CiVqP8BEmZEFKBw1J/wGMtbByM2OsL6mWTy1r3IgE10p0QURd8FrwqjVFOtF5tCUQAIhQEJAosMxmM70o4rbqKd7j1/+G7GUvr172BuDVSaq+R2R6axF2oBW4hQLtvB1GNS2IIDCbzQDg888/32w2pc3eeuutu6cntiiP794VaxEMM3uW2EXVL5chBDdkWAccn5mzbMDuY8pXr+hdiBFAXCcArNsmXWRccyzTjOtMzVvU5vE88b5wpAlS0P/w8DCuJ9JTS0LkFx+dHnajpDJ5Vso6F4tKQwjX19eLy4sP3n1L7U0IIThEEo1wEBjRmHEIsPd+MpkYYwL4eKF4rb0B2Mu/UdkbgFckN/SROo9ILIPi2IkAIJkItvP2eML4lgAgIvPZTLXno0eP3n7j0d27d9vN+tn5xdVq1TF3rWvbtvdBRKzJjDGdD8YY7QTOskKLPq213veqzrQ8NBoAZUPWwVwpFb7OBNZmKz2Dvqp1ojA61Ol+Gvn0o0KHkaAfkq6uaB522sGinYhtB2k5UISAdh6gGiSNMFTdLxaL5dHh9eK69wGNJQRwqKWYiJqxRSKMGe+yqrMsE+/wVg5gbwD28m9U9gbg1Uni9w+zxb9m108aIqxWK+/98fHxw4cPl8vlL3/5y2a9mh4crtrWVlVdTauqmh1UeZ6rAZgdHulQeCLSSh8dCGPMoGGNMVlWxM7bPCt2QKHhsDx74ZLUy47MDfEA3aPmIcI+zJxlWXxKCiVpAWj093cgoJT2OeUi1XblNCexky7WWxORpmmaplmv1+yV6NQOeWnQqxIAE9oAQQRD8EOaxN8YlQz7DPBe/i3La2cABk5lbdm/OdJPXiSQdKWm2Et4US0jIu7kN294ogKKNrAjZidIxpo4dlGXpMzPZIzWCw21N+MAKSTqXdAE7Gazmc/nIsLCxpimad56662u6/72b/82J3N8fPzee+9Rlt958ADzvCzqsixNljNz3znnnMkLRLRZYa11LrRtq01SiNsx5TrAXW+g73TEisWEfE1E0Jq0rBNGV107sDiZ4aWPSKtxtBsrJh6YuWka5aMOIWjpZ6za3MGOVJqmgZFMjW+2H8fPOv0gYpI5hhrOua5pjDFEJcIww8B77/qeiPIsa1rvOORlud5sjo+PCWQ6na7X156ECBAxBNK7izNwQgjGmhiFGGM4BO3a065iBBAW5qAzjp0PLoTpdNq2LZk6fHO25GVmaQdX/KPP86eWP/V14/ckfnNeT3ntDMAfKinyDl+L+HP3hHhLUghoRxBR37dzgIIVAHB0dPT7Tz/1nv/yL//yz97/oKqqzBDabNP3683m+bPzpmk8ixoVY8zlYhlCANRZLka7fLMsizaRiBQaGmzAMDg+2wHuJ/PZ7RvRVxVW0o6t6IOrQo9FRPE8qv2VEEKNh2JKWga6Y2P0+Bc+XuWo2MHKdEOTwCLivd9sNhcXF973HAIAj7kYAhgmLminnowzGvQ8eV5ubtHY7Wy8cPuLBfcsQHv5lmRvAL5cbmv8P8IGqDqQW3t2tD8kpG94k1INEp0ScfC4Z7FYMPNsNjs6OnLOffbZZ8vrKzB23XWBiFDxnrIoCsVsHjx44JxjwTzP86Ef2BhjqqqIEJBSROjCilyHuSdtAkQAoGWgaWGoLinSOGMCvyjUoy6zIjwxaLi8vKSR+zMF/bUKKD6ZeH7t+N0N1wDqutZtHgna9NGFEDTroLllzRnkee7bDgAFjEAAwuEfYwB98kOPMQCgsdV0cp1Q8kHiELzwo/yC78nX9SP2spdvQvYG4CvJN472Rk0Bt1zFAXd6CTXYy+zBZDI5Ojrqe/+rX/2KWADg+PBgNp3ee+ONfDKZTubT6TQvK2utDhs2eaFloArsRL+eaIuPRVgcAMZ09Y0FI6KW1kSWhajWrbXee905no2MMW3bphWfkPSCYZL+xaSKNE0jR84iHTq/g90BgEJD6R5d6tHREYzjITUh3Pd90zSGSPm4RQiAtcyJyHJwYIwEAABDGQAQ0Ww2e0aUam8eJxtDYqW2n+PLRUTgZrcEjsHcXvbyymRvAL5Eoh75mhDQbTRgR++n2hzG3MPt41PXcnA2WQDEGLNer9frZj6ff+/d9+7evTufTsBYsLYXcX24vr5un5+FEJTV53q1zrIMSTF3F/uzssxECCiWgQJAninkcqO/FxG9bPk709oeSMIUVdwK8lRVFY1fzNPi2PEbgwkcOR4mk4kuIF6Uxolg6VPdtaC3nthyudSFKcS02WzOz883mw0ZYgAJHpP8DRFxACLiEIAQrQmCiDifz4kIEraGeI9xI33pC6qDdkCqL40Y9rKXP4XsDcBXkp2/zK/zh5qiNxHQiNpwmAZ860KY5ADSs0WYwnu/Xq8B6P79+6enp4vF4uN//c267cDaQMQBYidwnhV5noOxdV3nRRVradT1LoqhszfLsjwvIwRUVxMA0JgghXrQGj1eIXudvW6tXa/XEevHBLYyyYAXgO0ksrZt4/1yQq9/dnYW7zR9aHHwy44op1B8UHGdOhA4Pj0NSvI8J2FJ0DY9fzRFznsQIhrKh6bTKREBh6jrUwOQfl48ToukLyM1u+0Z7GUvr0z2BuAPkK/voN32+8xNETOYAdWLKQSU+rM7e4Tl8PDw5ORksVh98sknzx8/aZrGIBT15PT+/XwymU0P6rrOijLLsjwrsizrfCjL0maFiBDZYSI8QN+3AKAKXctA9YraCLaTBBYRW+Qyjl93zi0WC+e28YSuU19SOIjGgv00r5tiNalFRMS2beOe+JRwJOjfsQow5gDSZ64HTKdT733TNDr8XUR0SWVm40lYCCDEX40xfjg5iggDFWVNRMC7TXmYlJPFAG7Ar24avPSbgEn4sjcDe/lWZG8AXib6Fy7pn/pXeVv8O2ZUjBcEmQQAGQUAGEDGIb/MY3k7GmNMNk4DJiSEIC9kh6chGhjJlsfZwU+fP7c2L8uSna/nsz//wfcfPHhA1ng0mOfW5Mzc995z6Ps+hOBc6PveO+69Qxzo+J1zUZUBAKKJmlpHyY96lpi99g9fr5aK8GhNZ8T3td4muuER6olD2+OQAE3M9n2fVgfFxjTtD0jPMyjrm91h0Xg45yAJLIYPBdEYozygBwcHapBWqxUiIocdmypIOg8YEVlfQsPiAYiyTIBEJ0UKkRCykJBy+4tgQEAAAkEQZEZEuGEABIABh/gG9fMUO36we9nLq5bX1ACIoAgCoEis7o8OHIuwQNCXYnR/20eLnqz+qp47uEBaMonEEESEDBKS8v1j8OCdQBACysBkBgiBLNmMTIZkAFAVqzUZGkIiIBQhZgYGCIG9h8AG1Oc1iIZRAA1ZOzuYf/zxx/+3/8t/ePONh3fvnPz+t78RMi2TF+hat242IYi11pAVhPW6McbkeZkVRVFUEbg3I7cPjgzMWse5adYwDtWqyjovKgRi5unBVI9RGxDztH3f6zaNpD2jZi92FK5uOOeGGGgcLq+vXl1dpRHDlspihHo0+NhhZYjaPxqMqqpCCFVVKfNPfKPV5l91+VFYm6sF0VDvgrF5GMhHjQ88ncxmJ6eLJ5/XZd233cn0gBjAoWEKXpwAsA+eDFKe52gyYQlegJBIyZ4FJAAEJDBgWIwwEuUIWfASyAEQ7BPBr0oi3ii38m2vj7ymBuBLBBkEAPl2BJD6lbeF5MYsD1ZPEQZnT8EBEmAURBREIRFEQQAhRjAwvB0RGQSZdcrUYKMCIDOKRhIgw6kAwQjJZrWpZ9N79+6JyK9+9av/+c/92ZPHByenxfTYllWRV4fzg7KeTCYTTedOZnPt9bXWYgLsFFW5bfIax/CqQFKog2PXVV5W0SWPHWQAMJ/PVU23baszAPSNV1eLraVN+PpxrAVS0h5tBYDReY9BRkw/6LZN2Kt1karcMQHoVbquc84VRaGUPtqovFhcbRbLmNJNIgmD6AdgBwj124AgCGTzgKTNAcKICAQogqCfEiAjENL2CxBjQmQRAGH9bMdrWhCE/RzIvXxLsjcAXy63Nf4Xw0E4JmZ3hAB8wuQcRdEGAACh4d24dU8Q1YaIMCOzeQkJwfHxcdN3T58+BfazSf3ojQdvPrj/xtvv2OrAFKU1ORHpRDAQ9N67wMYYBXm0eUpVcNO1UTVjkp2OyjENehBxsVrHqs30XdFh15pLHMk487xMsW8YBwOohUgJO9PUSAwyzMgGEUdIeu8V1NJVqQEQEa1M7fteX72+vm7b1lpb17W2IsfxYTsQPCapiAReGqQsy7hsEWEcupFfjPTvfGdeVzdzL99Z2RuAryS3Fe4LRdWBaA9RrC0RIECCbZ4Qk4L3gW7BECICIW5ngSXl5C8KO1KAm0ZGhLqu7927973333v0xgPfNphlz8/OApLrQ9u2LjAAcBDvPYNyqFlmdkFERCs4Pd8gZUvLNFUpw5jA1OMFt8xu2ShRccfeq2hF8ryEmwlt/Rmrg3aaflWhhxBWq5VzTif9ahY3Gqd0tenjjZYDEd95553VatV13XK5vLy8XK1Wk8lEGR3i/e7yeCQGIG5VVQUAMho5NYwhBEqijfgZ0ZDsSQJH2Y/93ct3SPYG4Etkx93+YggoFUQkAQCd+isAgAJa3EMjgSURmUz1oyW0RCSEOopc2QlQFEQQ0bwiDSBRuiTVo6vVqppOdB7A48ePP//sk/X1VUCiYkZ5oSe3eaHzAKy1B0fHxhhrcyISNEQ0JF2LgU8/quxRcW+ZPmUsG7XWmiyP6A2MOW1jzE5DViR9u7i4gpvgTLyLGDHEg5lZiftjcjjedV3X0czExRCRVgGlsYgasM1mo+GFYkEhhOl0OptNV1fXL9Lzg34frdT2E6+nkxgBMLMQAWGKZX3Bt0hECDX9u7cCe/lOyN4AfCXZ+cP+IyAgA+g1uSpgRs+abGatNZlFY8gaNQCAhBpBiKCQbAnpIB0pk64BEYuiQMS2bT9dXB0fHsxnk/v3708Pj4rpcVbVVTnJsiwvqzzPESiEYPNtYxfDVrHaPLuNfchIpBw1nTrmALBuWhhJ1uI4FyJSh1299dScaBI4KtmdC6kdquu6KArV7KkBiMEEjpPFZKzmVCAIES8uLjSLoJeGSMIhogmAruvUumgt0I6jH5/njRXCdoV1XUOcEgNiRSiZQ6lgHbDgMDv45ndGI8KB/Gef7N3Lty97A/AHyFfx/fEmBKRZX8XISTSnO1Sn0NjRqg23RGSMFRrcUFEoRhhAAAVZtL6Qb6Y3ISo4ZhGp63pycvQXP/zByfHhpMi7wM+vNiGEzWbDzAxXABA8931PNlONDQCCAwWbc05wd8aWXkixbyKKQYC66tP5Ad5siVI1rdWWqv21DVjrRGezA0gKQxNoKFcrEq2FnnOz2XjvNZOszrsmFc7PzylpNIvb0+lUz1/XtfamKSQ1mUy0F6xpGkTsus4Ys16vM9wS0kGSD4hmY+fzzYsC0xwACMamjVvfEI3mWNJqgq/LAb6XvXyDsjcAXyLxT/orIj8yev+EuK1U56TrB8CkXicRjI5w1P6YdpaKqIIB/d/L16lJVOfc+fn52fOn3Xp1dnV9eOcNJiOM3nsgo/MARGQ6P2BmAMrzvKgqrZ9xztk828Hu9fx5nqv2L4qiKAoiUlKdo5NTHCEgGtrHMmutxgqRyUdGln/1ldVJT6EevXrXdXFyix6/2Wxw25mc69WttR988IEuRglHYwdyjFTiAqKlXK/XetHYXtA0a/X6B70/Pl3cSQfANleRZRkjaEWQ8M3vhk6U1E9fAAV2sr4isk8D7+U7Ja+dASAC5hvIvioaY2ibe9RcroK2Y14Rk2whEXHYlovwTUSeBSSwECAhatcQCyFyCOIDjXO1NEWZZQXZzNrMGCuI2o/AIATIzOrXkwgKoAjLME3Me19V1eXiPM9z34VYMTmZTM6ePfnlL385qcvj+ezNN988OH0INsuzMssyk+XWWp0JPJnN9XkgIiQcn0E4dcDj/abFoKqd9ZkE2T4r7a5ShD0d+RJRmjDMXt8+/3SOWHyeAKBNW1VVKftCZJbWdmVmNiNvaNd1TdNcX19H1R+pRvWNajCYeblc6mTH6XSqSw0hEG7Tt/jyplzdb4ypqmo2m7n1ui5Ldj7LyrZts7JIv07YO0eGwBiNEoSZvZhAGvGgoPzBENBL/Y8/0KK87DwvvOv/E8hX9NteW3ntDMCrEUTVK0Bj52joHfsAIoBjpjSzNssYh8njPP4BCu4SxMdfUJjZ7zAowKCeYLlcrhaL6XT6wXvvPnrjgQVpfSimx2IsoRURnQms6dmnz8+ISMkvBYfaHgDYtA0lZJzR+EXERnVcNDmd82rJ4mQbGKEbY0z02RWQUS2qnru+JZ627/t4GIwBDREpzbVWAWl/gF5d7yIme/W9RVHMZrPYjBYbEfq+n8/nx8fHWZaJyPX19Wq1IqL5fN6u1ttnCEnT301LoNsMAIaiX68FPand2h4/auYdBTSGcnuttJfvhOwNwFeSVNvGX6PTl6LGt9+r+UDX9ey8iNgkpWmtRTDx33iBtJlMknwyA0AcUbuTBqiqsjKTnKhr1peXl951Rjgg/e7zn4PNlNA4CIQQOAgkjWBZlmkjmIxJYEro3tIKnJgAiCaBiOrpLDZqxXZiAIhcPUQ7IPuW7VlBJCVvaNu2aZqzs7O2bTebjQ4FQ8SDg4OYn2Bm5RMty/L09FSjBMWjNM5g5rOzM++9VotqEKCW6eOPP8axtxlH6jfve7oJ9+MtvR8hIP2s0ycAiGBujHFGxf1vfXluf52++Pu2l728GtkbgC+X207cFxwc0WREFBhwIACQEIDFIBmTzMOyBg0JoRACbTGm9IQDpgygGYAImkdBREJcLpfTg7kxZrVaPXvy2Bo8mNSzo+ODgwNTlGVRV1VVVHVVVYVyfFrF+vNoAMbr4XZ5iQHoui41BtEkdM5HDRgRGBHR7t+o4uNggKbpourXKp2IhkXIXZEWHRu5Xq/n8/nR0dFkMlFFr8HH1dXVarV6+vTparVq2zZmjw8PDzXCmM1mSkShC3v48GHbtjqNQG1VCKHv237TpFj/Fu5LrBeOnywAZFmG1gAhj+Va23en9NQa+bEAyA7aozHAyypB97ZhL69S9gbgSyS6+Ttef/orJIWDPMICAmLGP3ICBBZEVIr91ClWjYdoAAhReJuIlAT6GXbjzVhk7JZCRFRUxLXtZDJ5842Hd06PDyZ1Xk/yyVFAAtFyTyQiazJr7WrThBD63gOAQkC6/qZrU4UuCUnDzs3qdu9D+quMfcJalJlWcKrB0GqiqPTLsqyqStt6IwEcAMTZMicnJyLStu3Z2dnV1ZVyeSKiOv5Zls1ms0ePHh0eHs5ms7IsN5uNjE3UaXFq27ZKBLRer/UkzOx9X9oMEk9/q8dv+PVbZW3zzFrrbvF4w03tHx+djJSuO09p3wqwl++C7A3Al8sfGgGEpA2ARheemQkgG5OpiVu57QEGUt2xPdswlDZq/6RFC25Sns1mM5NnrYgnyPNcRJbLpV+unl78xgPqPAAXmJlJ277KCgbSG0STxZqfzvUvhIAizTKNw7n0FvKyisU/EQWKij569DFiUIrpmEuIHr2CNpeXlwoBNU2jc+pjzT4AlGV5fHx87969w8ND7UzWKk9NbJydnan2b9t2vV5HZ78syzzPp9OpLibLMk0GNE1zdXURC7S2bj8iopbwjEwVieHX7AKMb4llrIi7Cn0wA9rEl7w4nOwl+v91S9Lu5duVvQH4ErkN/d/eHyVVHIgII80kCrAPeJNdJ9EdZjxqzEBuz8iwLf7k7QkTJ11f897bIkfExWJx/vwZAhthU5T55MgUZVVO5vN5UdVlWUYIiIiMqv6siIq76dq0DDS2X+GYFo5qV41Q0/XxpqLZQMSmaRS7Vxb+mLpomg4AND2rWl5LM3VWsIjESps7d+4URXF0dFSW5XQ6reuaiCK+33WdokAxJoj6vSiKhw8fTiYT7SbTZa9WK01NbzYbNR6KU1VZPjz8mzmAdCPV1iYJ4HY+CwAwyZHq5scI4OY3aq/N9/KdkL0B+CK5ye7JAIBa7A0MAOOLDACAjEPpjrZWAQAgGhBGAYMioRd2YhDJKAUNkiW0Qgj0IjZaQdQ55SI80ASrL4lERDBcjAQCglFdxEJEk8lkenpyfDA/PJhNZwdQTo0t8jxHa4QxCDCzMCAi0Dj/FoA59L1n9ibLEUXLKznh3FcWZS3Sj/EHM1eTaazi1/5bhW4U309p40YFXagCNcaUZTmfzxUCUg89Fvtr2wEibjYb59zZ2VnTNFrxqe1gCuIDQFEU0+n04OBgMploIsE5p5BRPFizx5PJpO/7Z8+e9X1/fHx8dHQ0mczYbSeICRgQP25vh8OAGAHtfCYgi2QACNAA9IggNBB2oEJtQjAEbQws2hUuKChmoHgSEhYxJACCrF8gRtiPBNjLq5fXzgCwplLH9CnfdOQHOnbFYQREwCAEZgkehsp+8sLMQgO1D4MEEJbA7BVuZgHJ89y74J3LLFmC1dUVSJ9Zzq2xFAAsGYumDGgJkSEEQQAzYNBMAGApEyIR8K4HgMxYtAaCz7KiaXtVTNba5XJ5ePfBuu04hK5tEfHo6GhSFnVVhhDOz889XC2bbrVaOe+tzU2egVD4/7P3H82SbFt6ILbE3i5CHJnq6qcVClWFAtrQaHS3ddM4oBHkgP+GM474BzDngBNOYUajNdk0oAuE6AIaqoCqLhSeuA/3vqtSnJNHhHCx91ocLPcdHupk5s189716GZ+lnYzjx8N9u3vE0utbCm3b5lmRFbkIVG0TY3Sc5YWPnURai/8gYlmOY4wWRUqS2jkH8Cx5A8xc+IzyIsaYSDetDD+FmDjLQwiIaJEZ7UkmrEFXRObz+VdffWVFnyJyc3Nj2sL6AIqiGI/Hzrnz83NTFVbZuVwub29vLXwk/ZDLPM/v378/mUwsHnV0dHRzc0NEs9nswYMHRVHc3Nx0JjqSqgCiIgMhQEBWpkxERCMRMmbEHEXqJo6OTi8eP2lBiiKvYp1LlruC0IE6AEfkHBIRIClKAAQHqECooMKACMjEgAx11UQUyIqb2+uTdz5czlvwjAi4Vgb2ArypkNFvKvn8V2Wdv6t46xTAy8MiMsMPHIEZtNYsprD5RZU+bSuykf7VSBDMOEwxICAGYov/rJ13VYOPoCRADAjIChAVJATt22vR+KJVEXFSjsi72DQXz5784vIZSjwaleVkerNsFIi8G41G2Wg0GpXkCgAg57Mscz5DxAidjZ/nOffD1lcBImYiEgEishKhFC/CfuA79Qxx1mFrHoDtkGqBbITLxVePTamEEG5ubmazmYhkWWbdWxbrN81hODk5MRt/PB4XRWEnsoz3YrH48ssvLTOMiNY4dnx8XJbl0dGR6QmjkbCM9E9/+tPb29ssy9577z0AmM/nMUZP6wKo49sj43dARAAGI/4H0H4IT9c5QV3JVh+YY7RpYECqihIVBFVVkbQfCkeIiGJDwRAAUSFaVa8gkNLWh+qAA36NOCiAvRjW/EAX0n2xAYKIxt88DA2vjoCI62mAjffa3jCYbIU9RYGtJw1XoZ5GH3pqnRBCXVXOuYcPHx5PxqfTSVaOpmf3kRx555wjdkQk4ACgG+RCDACCRH29/LKqBqtdcfWYoiJctXqZsF4sFkRkISMLEFk4yILvlgawqL39ddm0FtMvisIi/uPxeDweW5LZzPbxeGwhINMNFtK5urqyAh5LDt/e3o5Go+l0OplM7t27NxqNjo6OrI/M9v/yyy8t4m/sb+Y6nJ+fJ1JrAKjrui/fB9xi/hkmBvqfmnLjtF4Dmm5UeuIioiBEoNJxgfd/FLDqAMDkjKoqHViCDvjGcVAAK+iKeV93CvqhPngZJB0gIqm4Z0MH7Htvip6nU5tMSf1N3FPzm9xsmiaCAkBZluNRcXo0nRS5Et/e3opiUGmapm7aGCNQRkRNiKpq1NPALoX12bmk+UwBWAjI+zzGGIOkAEtXNVTXNjOSeqYgM9JTd1hRFKenp1Yg5Jw7Oj2z0fBWlAmDbt5UtRlCuLy8NNn97Nkz7Sl97IB5nhdF8e1vf3s8Hk+n0zzPrQrIokCXl5emgaxiZzweWxrZe1+WZdu2T548ub3t5hhnWQYxDJ+XDtr6YKCS06+DiiYcKINVSh86Bw5EVMEyQ/3nShUgqRkkIkUCUYnxrY1svLUX/luCgwLosE/ibwj9F+qAYTzHZL3JL1oX/elow2ai7u3Y/2nQX6qDHqt05OEOIlKMSsrzq+cXX37xWaircZ5l5WgZlF3GmRUvkvc+KyZZlpHziEjsvPcuL5LBPplOu3BGT1ZkAR/jDTWq0J7FqIv8pH1MARgHA/R+Caz6FQAAlk1rAtqC9dacZcw86RqhHz6cZZmJ+NFoNB6PLV1MfdH9YrH44osv5vO5pXnt7banhYyMItuUynK5/Pzzz1X17OxsNBpdXFzYTBiVNfMf+zquIQHcoDx0SJW65gekV5o+OQAKKqJAJNANoR74AUBEAiAxxNiiRkJAPcR/DvhGcVAAa+glvibRD+shoBciRUhw3QOgwV/Xz7X53uGv3RFUtSetM5mbxth2VqeqSXCLvE+n0/z05Hg8ykfj8cl5lpf5qMyyDMmq/nMiyssRIgKScw5dx44wvHjoPQDqmBvQOZf53Oz9ZJU3TWNLsrLO29tbY2Ww9VsIyMo9LXh1u1ga47/V78cYsyyzvt/EGm2KxIL+4/HYSj+N8c0Ke0IIV1dXlo4ej8dnZ2eWKjDHwhZQVZV1FVgIiIiyLLMwkaoaZdBGhGf4ONa8gcGj2PAAkh+w/+MEKgJKCoqDAlDtpkGTSNTYqkYEBBR4y3TAq3oA+271AV8PBwXQYVscb/wVvm4ISLaOnOI5EKN33Z7bbxxu175tynsfQrBi1IEfoJYD0BDyPD89OTo7Pjoej8hn14saALoBKaIxxjaiqgZRVQ1RRCRC1/FERNIrGxEZqrwsKxKTKACYkLXdzBXAAdOOeQBWtGPFQtPpdDqdIuL3Tk7zPC/L0i6kbVtTAMmCjjEaL9D19fWzZ8+ur68TkwQAJCXx4YcfZllm+YMsy0II8/l8Npt98sknGyGgs7MzYw2aTqfL5fKTTz65vb01TdA0TbsnBATrbkH/c28OYPDZWOsCida9kRJIxu2KiAqMqIqoUUILEknp0B9wwDeMgwJ4AfaFhvZ9U3daKNsH6RTAINB/h9xRlRQeyT3HGE2J4DrV2mg0ghifXz77/LNP22pZepeVo4BOFCMoIjqfZVnmshEzj6dHpgBijBG6/qkUYOnrfIYTfR32SeBBZhit+t4ag61HLCVvU5km9iOLVbUVNRM+ORA3NzcmslM4aHiLTk5OrAHYEsUWBWJm4/+p6/rJkyfz+dxaf0MIJtkfPXp0fHyc57mdwkL/v/zlL22H73znO8ycSCNgl/mPsLkFtjq/Nn7d9uf6cgBQmyGQJsenUREqINbg0dWP7flYHXDArwVvnQJQBYvAxxgtCWlxlRi7DiAAENEYo0ZJZp32SbxhVmDoNAzCNWv9wEQEfSjcrGbnifuAdWxbyYV5jUtA+7laKd2q1JXcWOxlsVgIOyMzOH/3PYuEmExkAO/90dHR+MH9eyfH6Dxmpc+KfFQWReF85pyzJLAiOefYeWZWWol1UU1RDmtN6q+MichxZ+wnKjor5klR/qSorKL/+fPnJp2bprFrqUNMXcHp4KpqISDr+LXgj7kOo9Eo7RZCmM1mT548mc1m9qtZ+nmeWxTIBgVb0Onx48d2XuwnMDvnPvjgg4cPH97c3Pzyl78kovfff//zTz9hZluSVaM2oSUiVO1jX0qQdK3WdX18fFzX9cQXMcZiNLHKV+rpVE05isQIigQSAUFSsr/7GIkwk4TonS/L/OLi2bd+8Ndq0SjypkIc+/zU37YQym/bet42vHUKAODVyNj3eQAvc5RkGHYikjYtROylxva7NrZ01TjgITREFPthW8kUvb29Je8mZTmZTIrcT0fl+fERsANfKJAgVFXVzuZt2wYhAPB5QUSABABBV6U4bQi99F9NzkFEAGJmx97IcFIee7FYQD8L3jb2rJ8dX39qHDPjvSgKixSVZTkajUajkQn6siztgNY3YAMg5/O5NfQmbp80QMZ7f3x8fHJyYi3Ey+Xy5ubm8vLyq6++wn50pQX9rdl4MplkWTafz3/6058ul8vJZOK9v7i4wD750et+EZs2s+fx4jr2fUL6D4ntv6KKQ1QEtHligKoQQRVFm7Yi8BEQVm7CAQf82vE2KgC4M46/nQxItu1GH8AdB0myIe0pIopbHsM6p9vmEQZBIZNoShBjS0QS4rAYlJnPzs6CCsR4dXX15PGXsakzwiZKeXSK5Iy2vmtCcwUzG4mbpYXjYCziaDw2V0BVRSCxQRwdndh6TL6ndTZNY+LYErmWWTXPwIL7FllK7WO+KKUfE2aZCWMK+uSTT6xjwCI5pjaIyN5eluXZ2Zm9Ng3kvV8sFs+fP//kk0+Md8juxqNHjyaTiZGDmjdgYaXPPvvMOsKyLLP2YIs4jcdjW4ldjrkCOBjIg4iwKxZERNTXa+ngQfc/zdbffKaAgNCXGCmARBABpWox5+LIkY9wwAHfHN5SBWDY/t7i+l/3aYKNffZJ8GGwyOgjNnYwObs6+8D2p34UpfR2eHoXM0vT2mxb55wCWAY4qFgI6OTkZJRn58dHFgJil7k8y7LMZ7n33mUj5xz7jIisNUw7UiBi5ijDkZBdFAsRi2IE0JMcDZCi/5YJgL4N2ESqqtpcX+sFizE+vXxub0wdwlbbaoa89YWNehhXRKL8XCwWt7e3Vvd5dXVlNv5oNHrnnXesI8wmy1sI6OLiIiUGRMSahD/44IOiKK6urj7//PMsyx4+fOgQbm5uTDcMuY904MDBeoYmPQVe9wBWDh+AqhCoSh9wtE8LISGYW0BEqZiLCJbz+bQ8ZkKNInggBTrgG8LbqAC0A5N9BQAAywlJREFUb6wFWInWDeG+y6Zb/3WXetBhEYiuhYCsCSiFvJNY2dAf2jPFU0+YDMMmAImgallWi1k751oFIqrrRhAcc57nCJPjyfjBvXPO8ioCsQcmAGiaZrFYtPFGVV2WIyISq6pJnE4HOIf9AADLAfQp364TOMEUQ6rmNFGeKnYsRm/5XtvNNERQSHWfJtntKobMo9bvVtf17e2taY7FYmHsQJYVGI1GH330kQV2yrJERGsVrqrq4uIisYqaerDsgiWr67r+4osvbDaA9/729vbD994FgEQ9lJwqHKSFk9Dv28IUbI5Nv2kjamcqQFQAFREFOh447T8D6bAKQICecTmfHd83Arqv/8E+4IBXxduoAGArerMR5Nkp/XVX5c8LPYChwhh++bcVwMYR+hARiQj0isSYf1K+0QRoU3fcaq1EEJnP508ef/mrtvkZUxPFlRNrBCMiURCRIGQKIIWAzAMw4Vv2oxxV1SI91MElBZBKgADAuNgAVgXytv6TkxNmtorPYQNXVo5SqsDqc+zabZSjyf1hmZDlDLIsOz8/t9ZfG/xSFMVsNru4uPj0009vb2+tdoiITk5OrDzU2CbsRG3bPn/+/Pnz58vl8ujo6N69e3me29iA6+trq1K1kxIRMG88CBg4Z9pnvIcKgNZJIBRUVVBFUBlRBVGEOqOh2wuiWBrAnvJ8PlddtYsfcMA3g7dUAcCa7F7beMfrDW9g+4D2os8PImBSKDqsGl8X+ruPlrKyzGxehaqCxmGhiNnUWrWqulwulTBjtqJJT3g0KiNgNj5yPs/KwqqAvPeWA0B2KQSEzpuQZeb5YjGQZYh9CU0INntyxQVkXoh12yYa5zQoxgjaTHVYI+7t7e1isXh6+dzEpUXezT9g5gcPHqSqp+Pj4yToE6WE1erM5/OLi4vFYvHxxx8Tkdn4x8fH9paiKCxSdHNz8+mnn1rrmQV2rDf4o48+Ojk5McJRqzH9y7/8y+9+97tW2HNzc2OjBdJz3Hjc2Jc/QR8FQoSBw7T10bJOYFW7XWSbABAhxAYAgNAOv1gsNESgeCCFPuCbxNurADaw0yfY3p427ixeU1XY3wcwzOuafEAFQAFRENXezFQEAgxmSCIQkSJyRyjEwZQGgiKAY2AKoA6gKApVccwocVyUk3F5/+yUfBaJkZ3xD0gMtQi1kYjaqAAAFgKKCoSOmBwX4wmsiA048aYZx4N3WSJT6xQbkQnuGOPNzU1d14vFwkz7qqpms5llaNOFF0WRlcW4GE8mo8IXxbg4Gh/loxwicMZlVnLGpFSHulk2dV2HuplXy8XtbFFXGqIgkEIE/cF3v5ePyqPxxBe5hng9u/3ys89vF3OjlfYuH0/KB/cfTY/GRT5ynuqqZYfPL68//vjfFvno3fcehVY+/+JXP//4lw/eeffs7F4xnsxmixCCAoKqIqvGLqJHrKhICCCqESWixlQPpNj5PQSCoKhijA6qiqACitI3dkhEZEEA0BDE0sj2MQj1gmITAwGXOtABr0QNfcABr4q3UQF4zyEEiwgzcwgN9zMacV30a89WD30YJ7HcpJb9oRNhFiIzBxGJ4p0D1bZtaT/pm/UIESojIXXjRADNezAXIkLUiFE0xBjYuTaGOrR1DOXxSQNSHo3aJsQ2np2eXnz1JPP8s7/4y2U1f/DgnitzcL5umrpuRSTLCp/nWVZYvF1ECJ3R7ANhW4dl27RIzudmywNQmqk7GU+zLGPuat5TyvdmPuumJAIgYhrqWxSFy4vz0dj44IzJp/COiJxnz54cadQmNG3dNm0T29gu2mfV40W1aKqmbuvYRutFRqJRWZ6fHJ+enJSjERNFEQSom+bZ08dPnz2b3d467x8+ePDR+x+Mp8d124QgqrFt45OnF4vF521bF8XIey6K0aN33kPkq+vb2WxRN/J/+D/+nxaLxZePn5bj0Qcfffvq+vLi4qKaz7Isy4oyhBCaOvMeEUNsHOK48E+++qwsCxERn3GWg0oQyTwRKGvAiAKqEiyJjv1IMpUAZBkcAmKflSGENkBWFKJaInz1y59+68d/cAPQCHrqGkHaprK7KrFdfWRew0vY57/iLsPldwBv2/W+Kt5GBWDYF+3Z/vVl3rKNl/yEMWAfchZUpwCChIhKqsooceBrKFJ3VkVQQmEUQo2dozC7uSXEar44OT7+/g++jY6zIh8fn4Bj7/M8z/Os9N4jMgA4I4NDR0TMHpkYnRDd1rVCl38OoQtDEVHbBFMJFreBvtrHqJitYscmClglqJXoWPRfRCyLez2bN8tFaBsj77TuMDBaNBGL9lja4Oyso/B89OgdC+JbyVDV0wqZt0FE9+7d++u/93t5nl9fXz99dvnJrz6vGtN2XQbYRkteXV2Zmm/bqBoQ+eTk5N69e0U+kgh1sxQBcliU48mkBoCqWmBkUEV2QNiGoCIud7FtUIQJmJmcZ5chiPN5b0BIX+bfP9QIAAKDoZURgJSICMkBIAARAkPEtpZ6weWIlCKAHQTJIcgLP2wHHPD18JYqgGTU76rfWHux/cZk8g9t/439saeCSVT+G+9N8WWkVZfQ4L07kApOklBOoRhEHI1HsWnHJyePv/g8L4r79+9fz24nk8nNrOK8KEEBpW0r1WVQUNUsL5m9Yw8AAESOy7zIinxUToBSEJwtN+CcY3LmAdglmDAVkTq0ljxI492tvnOxWFxcXNzc3FglDwB0c8GgY4oejSdn54UxRjCzUfkbrZCIWENAVTf//j/8ufUKmCNlzKB5np+d3zeWiIuLi3//H/58Pp+fnZ09evTowaN329jpLVvG8+fPQwjT6bRrde6ZpS0r0GdZoKqqPPd5np+cnHjvHz+uRERjTFcKgt7nTXOjPdl1l/dGcs5pFERUhJTqVeyGwes60tMlImsUs/3btp3P59n0oQsgIhABEZlAu/6RQ27ggDePt1EBbBjyQyG+s9VruM/OP61kugL0TDK4XhmCfaPpxvE3EgN95Ad3qgGENJwW0qx2AEDk+Xzhiau2ms/nV1dXf/EXy2WzPDo7n9UCrgvLSARFYPbkmJDReceZgMbYRfOZ2TlKRf1G/2DKJvN5nudZVtiviQu6lWgmfyqjtO2WM7D57DYY0t6Su9VQdWsXMJfC2rJms5nxN6QLdC7Lsuz4+NgcglSDdHl5+fHHHy+Xy/F4/N3vfvf8/BwAFnU1n9XXtzdXV1emdWzs8NnZmbHOmbIBgMRbt1wu7YkYaehkMiryETMvl8umqerQinQDMo0Lu1l2DclEREPK6KTRt3n9Nnjj+oeb0vu2W9u2t7e39x9C6g6xcQLwEu7mAQd8PbyNCgC2ZPr2rxs/YUtV7NQKMCgBwp5EeMNj2PAA+ir7HfQPKzdleORhI1KnAAgRgWkymc6urh699+53vvOtZTU/PjvOx0ej43Pg3PscmQjZZT7PS5dnzy6eo2PHGTKJaNO2lrmNTeMIespPTUUvs9u5MREZCagtL8YITEVRGK+DxfqNlpn7eQJmiRu7Z13XzXJh7QKpBQz7qiGbATCZTM7Pz40UyHsvAqYebm5uLL1sbzk7O/voo48ePHjgvb+6uvrss8+urq6qtvGuJMc2Iz7LsnSvjo6ObD1WkKqqtgDrp8t8UVHVNM1yiaOitM7q2eymrasYY1fzSaCqltO2q1PLCanGGLnv3lKj7lO1D4Cqqggi2E0jIuzFu3MuUc6Zk1HNFxJbJKL+U2NPXN4cR9ABBwzxNioA3RO30UF714b0H+6zIc2H+2BPG7BSAlvvTSLPxMdOYz/Jeu3fuG48EkJnriuhIKBC0zSz2ewXv/g4hvbbH35wu7wWwsXjZ9fznzpf+iLPspyds3C/Io+nE/Z5XhZFOfLeC1IQDSoPHzzgvjjd2EAtrB/aaPkD600zS1xVbxdza+kyVZF6wWx849XVlcl9RLSuhePJ2MIvVstv8SUiGo/Hdu02K+b29vbp06dVVWVZYUe2FrCHDx8a6RsAPH/+/E//9E+fPn3aNM14PL537975/YdAbJ0E19fXiJjn+XQ6LctyPB4PH1a6mbYA51yM02U1D0GWyyUzGzfRcjafzW9FgJlRAUWXy6XEmDumRCJkP/u4WWL/tscXQhAEFErOnyimhgntRzgQUQxS18umWmrBTBTiqnjs1T7fBxzw0ngbFcAG9vnX22b7xl/vcgLWv7a90F8TQPZio4do7SADRprVuwgFAAgZPBELMEBUwkePHrHAeDz+t//mX7dtXZTu5vb2drE8P38nCqoEaVp2LgKEGINo+FJ8VmRl4XyOTMjOOZex+4///j84gj7A7VOn7mQ89d4TOe0n93bWvYolAGxKu3VyNU1jOxRF8f7771tRv1n019fXZj4DgHE2PL+5Te+yWL8RQkyn07P7RyfHZykkZQyjn372xWw2+/LLL0ej0enp6QcffduGwCwWiydPnkSFIh+dnJycnp7amAG7DBv/C6qhFZHQ32Fm58zFGY1GztNisWibum1bdp3yqOpljJHZ/AYx5iL0johAFBGp7wNAm/4IAACCADZaXqLVfUJP/oG0CuyorjwDQY0xVvUi84XjTAnaNgAikENEywFYVeiwNvSQGzjgdfD2KoAd5v+r7P8y2LbdNnTG1zhmDwJK4WYCxadPLo7Hk/v37wPAdDr923/7vzg6mY7HY5dNYhQVRCbvc2IOgEFlNl+wd4K0rKrbxTLEmOdlURQ/+sF3PbHFbaqqSUPYbapXjLpcLq17yzyA0XRiJjwilmX54MEDI+K38JRFWpbL5eXl5aeffmqHSrwROsimTqfT09PTb3/720dHR0bT3XkSs+Xz58+vr6+rqkLENHzm93//9+29pimNHNT7fDSeIqId01qLE1NF1zfXpyuw49zWpmkAtCxL5yYxxrZuYmyXi/r4ZFqWY8fe9neuU1oQBQEIEAEYiRnNP0gPVPrHbsVafT1v95FIUR1VFdHU8Wdvj02jEplQRKKKACGAYuoXpMPMgAPeIN5SBWBh3BR+WeVmdRPDID5sEYQRkcSOQ1i74pwu/JOMPtvNkQNp7FAhBKhrx3nGvmka771L/DN9WMCiBOScKMTYqiTOfQKwTgQEoFaiAvjMQwSfZ++8/95/9Xf/7j/9J//4X/2rf/n9H37v3r17uS9G+agsS858FGhiCFEE9Pj8XlQE4qzIi9GoKAuCpl2G5a3M53Nmvnfv3tnZ+aNHjyyy39StmcyJ7t+uN4KmTl0RScO8bm5ujMPHTGYjfM7z3AbEW9rAfIuU1ZjNZm3bXlxcmLg3zTEZHxkVqFGNYt+kZrxAw6FjzIzIbYgAGEJq6DVFBUQco8RoTbzEbHQU0cqc0sMtikKjLJfz5XI5PRpb7CiE0DbBEeej/Pnl5Xg8JgJVHZWljWYTEUZiZmS7P0FEgIgBLGJmdaHa17z2BamtEptOMl2oIJ9/9unf/OCjZVXXdVuOxrNlhaQi5iII6WpmmG1+U9+IV7VF9gWm9h3n1x3Ieg1b6q3GW6oA7sab9QaSjqGePmEnUIRItY8XbYeDTJAJANogeTCjkwBil0KsqnFe/uhHP55OJp9/+dnPPv7ZP/kn/+TB2XmZF0dHJ6enp6dnZyfn945OjvNy7DxXbTufz59fNIpQFMV4OsnLMaKbzRaXl5d/9md/JgJW3c/MZ6fnzrmiGBm3j81izPP8Zj6zpl/j0oEVdxCZQ2CRH12NmdSmaaqqstxACMHEnxX/GI1PWZbn5+fG6jOfLaFXijZjwAz/09PTvmzJJW9DJMKgMmfnizsfFDnOsiyYkquWjWfMssL7hTk9FqfKAB0RKWgUZjZlgIRG42fmv2Lf7G3nXeVvutwP9dNmNlZIEiU0qMKooKvcr6A9a1EEFLKZYqQieIgCHfD1cVAAa0hidyNQ032Z9+8PPds7rPsKqy+wiKgorREBDRVAIoZOuQcAwEQ9rwREVhYCvZPR/yQAmh6fQmirpkaQ83v33n3/nb/xt/7G8//Nf/9n/+bfzWc3l8+vnz+/8J9nJ2f3Hjx4MD0++dFPfu+9B4/uP3xwdHLm88xseQU3q5qj41MbN7Zc1sav+fjx4xgEAKw8//Ly0gLrzjnOukbf4+PjLMsQ0UIuRJQGeFlkHzoXp2Oy6ya/T45MkUynUwAw0tCmaW5vb69vZm3bxtgRIpmpbuVGNhgAt6SqgiLSPh2wB5TUrZ3IyoQQdblccpFNJpPlcq6qRNw0VVPVuaek0pxzzKSqqXli8JmBkCT4lvTvHvH60lABNIZqgewJ1NIt/X074IA3j4MCWEFfYuRLCgdtRPMRO1avTiT1rwd/1SRlBjlA3T7Oind4sLHzABCptbJRVtA+1gSIuFgspuXIe1dXi1DXeeHv37//0fsf/N2//V9Wi+Xz66tnz559+fjpl19++cVXj3/681/88f/vnxblaHp8cnRycnp6fnp6enx6UowmfjwZT44sKpLn5dHR0cOHD+/fv396cgYAqmjWsfYFrMCUqvhvbm6sSFRVnz9/bqEeq8S3JmHvPbHH9anCdrFffPGF5YQtGCIiNttyMjmyUE+K8yQuuR1PSgkHrBvD+79fDayY76QbrukBYDo9rqrK+7wosufPnwNUzKwATRMoyz11NaB25FSmGaGzFJQwglIvwYFWVzr0ADY+P4gKMVaLWTk5sZ41IoqiSEkBECgo2ojhfVPLvgkcQi6/GzgogA7b0mT4E/oi0e2dE4YeAOLq67khhoZSb/sISKT90F2AlYFoikFVyZqzmFCMI46AxMoNbWHOudw5Vf3qq6+apjk7PsnzfHx0+pN3P/j9rAgh3M7mi8Xi6dOLy6vnn3/25edfffnTn/58sVyGECKAG41G4+m9e/fu379/cnJm5nmWZdWyZmbv8xSI7xprEVKljaEoCiL63ve+J/1wR0sM2PDI2XyJfdmM5WZNZ0ynU+tWsz4A771Nerm8vLK+M4vzpLeYzNX1xqve6+KNOw8AeGe43NRwjIKIFnhJl2OrspYIplWxf3cuVVRA7dO/g1nHACBG55BaQgY6YPfTR1SNi9ntaHJEiFGC4ywNCFAA48I74IA3hYMCWEH39AFsGOlp5237fYjhF37f137jCGlns/66HUCHJwMmBCYiVFFC7DsErM4yVMvlcjnKi6zMcz/K85zIhRhv5tXNss6yoizLfHw0OTl/98PvxhhDFBFp23g7n99cXV3PZ3WURbXsZ6l3NNHj8fjk+NT6ck05pYD+o/feTXkCo16YzWZVVX322WdWhGN1ONYV7L2Hnl6iKAojESrL0uqITAfYlsePHz979qxtW+e6DG0K90OfZlg9tcG9Hd5wWNcBdyC5aGa+A6Bx5xGRCKQxNRlS7rxdvmfHqRuuf5SCon3IR3HFLZg0wNqHbVBNsNoeZbFYEIhD10ZxniCKkpEMwW/U6F/DHR/7b3glB7wODgpgL14or7dh3/EUAhrCcgAmNC0IAOtJ4C4y0NP7bJy3f7cg4nC2QDrRYrE4Hk+89xViE0OYteQYmYIq+7wYZ+QcIi+jzGcLVWXyRgPnvc+K8v74+NHDDxSVCzeajMuyZGYAquv68vLy8vIyKYAUuzBFdXV7Y11XNvdRe54iG9d1dnZ2cnJiR7OrKMpxCiLBYIyMtQ5Y+xgAWNXm2dmZ93loJU0Jhn5+vRXPQO8kdZF2QsubwJYO2PvUlKwP1/aFPu8SQsjzHBFE5OjoSFXbpqIQ8jyHsAxN60tnejoqpEoeQemjPdZ1oCtf4U7/r3sDgGps6go6nSTpvb8tgv+A3y0cFEAHVaWBfZW+cKoKKN0/gK4KO4137zb2X2AFQUUkBJT176ylKBWiav8zBpBu7pWFGJSiCDKqcUKr5SQEpXdCVPsEsBIikhIBok18V23rZbVYLpfL4+OjoigEFJSBnCI1EVAiQGT2eV5479s2kmMmL6qLugYAJu88PX361cnJkfc+Rp1Opw8fPHrv3ffLYrRYVAA0GBOvZowfHR0hor2X0BEDAgMKkwcUiSAaVJAIHWfOuaqpAYDIAQgAqcYQBCBYt22WFUSQ56WqLhbVbLZw3QQEZCZmZyxL1kgANlsFgYiNsshiRLAl/e+AaOi1NlqYiLBTAFmW2dGOjk4Q+erqklQpy0NYqkgJgKgiwd6lqlERlAFUmRAVugJ+UdUUt+lWmdoAdUAcisoAJCptsJHEKojIAJHscwVAKoD9vAEA2WFpHHDAK+CtUwBmZYGqxCg2/ikKIDKiRpGO0rJTBqIqGkSCSOxsdo2iUSSoxuQN9MFoBhBEUgBR6b7ZZIFdJQaPRKCxbWKbuwxyz8zkGFNjZx8FVogqnfVHiGppSUVBDRpikEhEDrhtVQE8ehAdlX65uNUoZe5ijCFE5/OqEc5JxeIuDISIHESlDYQuKmrK5QKIShWiqqLjydHJclllxRg5f/78eRuZXAEAMbHXoUZFEWBEJAKgGDRoEAmqCCAhyO3t9b17D46PpzGqc1TXLbMXAe89KDlPs9sFMeRZvqzmKjifL0flZDa/Aa0mk6PLi5vloj49Hauq3YcYVSRYBKg3i8l+9o/CAuaiK/2dXuwWlUT2qFehP3sY7HwbgqoN5OFyfAyUxeXV8cNH//5f/Oy7H7xLuX/y5KtHDx8UeVa3tXcTBYqgBOSIEaNp9xiF2DMwKmkEASWQgQsgDJT4gyJg6d385haBAcjl/vp27vICAEhaAEGQdCXBJtervlJc6E2FaF71OK8aMrrDz34jMDtmeK5f9xl/O/HWKYB9WHXxA6QifNVhBk77nWT/J4a0C9YOCkIBENER9/TAgBohSowRKKJEYARRAAVRJAHomsL697JqWG8BFVNkBIyIoEoKGbuoURTI5CMiIgMyAqekaBo3qKoRlQBlPbOtIE2XlRVVtR43RA8gfTWj/VTElH9gM4ERGUARWVVUcbFYtG0kIlVs20aELRmgQPPZjaqORiNVDa0StoROUFQwhCDGgaNkYXci18eLEBGJXH9b7CZh+tnfqzczVV1EEMlcgygqCs5nGR1/9J3vf/Grj69ms+mk9EUuEpqmYRueAwpAiqTSz/CMksJ1DKv6LksaUx+bWhOCoiDaNg1kGRID2S21YJcQRAARJAVSAEFiPTQBHPD1cfj07MZQuL8w9A9buce0cQAmciaLUxrARNvXPn7KNyIiduz0iafeJ8qdjQtJlSrDUw+zEcZ8AABG2AC9kNrAMBM7PJpdl01g72ioLWvqvaoWRSEixviGiPY6dUVZu4DBOWcsctg1eQn0OYONlaSbcPcN3Inhzd946NhN/e1qjSwZ/v0f/uiHP/rJ7Xxe1XWe5yLQNA0zG7+QHcoy5PaTdnFB4560BPY9g/P5XPscCfYlYQcc8MZxUAArbEjhnRJ5p7AwDCVREvqIPBRhfSyfhsfZCRgItQ3pPzz1hhA0oWxqwHmf+Xz7ONtrHoKIEt+nSbF9twIGGmWYx7bin9lsZgzPtirn3MnJydHR0fHx9Pz8/Pz83Ca22w7p+DKg6GDmxWJhfk+6e4lHc5/Ev+N+7sPOfVa9WoPeZkUYnd/70V/7a3k5mle1KCpC7HP7/SjglfTXPiX+Ql21rhVkPp/DQO8eFMABvyYcQkAddBAJWYuK7N++LTVwUK2RvvNEhMAxRkYRC9gM5LuI4J5DrY6pm3Uglv3rpIaiEQ+kFoSOx9ll4JyLys5ZnSUQpyVJN+RkJYy0b9A1OcvMMWhqcVpfnqkuWx5oz2kM66X9VkvaLVgky32WewA4OZkAwH/+z/85y7LpdJrebjsb3VuMMcsymxWDiEQQo6jGPhglsN5E+7Xjt7KHar+r8InRtCkAtG0b2mbE7p33v/Xe+9969uWnledRNkbCtongCBmhexCgfQfAEGt3sOtc2+5jEERcLBbEoKJ9gGu1LgAAJbjL2znggJfFwQNYYcP8111qYB/WzTpC4K5Qh8jmag1Uxlox+NAzuEMNdL+ChXRSzB2MGtqMaOOEkb7pyZbUz9VyqbMpDcZKoAEQ0XrKUmljpzzuvF3DX00HWABHey/HTFpQaJrOmL26ukoaQvt4CwBYwSgAjMdjZjZHIcWItk+67YW8EuBFHsDwY9DEcDtbwHjynR/8oAnSRrEKp9AzAm48u40Q2caaN+5nuhXssGkq7qfJ7/F18PDlPeD1cfAA1nC3oN/46u7+DiuZrTc04RGR0KWaPVUV0RjUCkCGkgiGXabrlBImAQVB+2kDimjJRQBFcqiqEvvjQ4wREAUUCDsZOrBJmc0DWGttVcAYY5TW9tfeJ0hCub8ik25doMYEX4rMAIDFdqqqSmQJy+VSosXxsa6j91xVlfX3GqNOZyOrQt/VPJ1OJ5NJXddpNzPJ08KGdyz9ulNX3fFk03bc1Vec3Bp7nWVZ3SynEd7/8DsKpEBtEHZ94x71fb+9K8bMw9OuKZ51kT48u3MuxoiOtGlNp+CgsXx99QcdcMBr4aAAOgyFCO7a/pL7G0wKIDL2uxERdUISOtoZEYhx+4CrI+w7rxIoAVCyATtZI1GJATCKhBg1BgKIitJFbJS0o21QVXLZUAGYxBfVEEKIbepDxp6IbWje9vU/mkSkbmWJAcCSyeZ/JAs9y/18XttxrAfYRLwJWRPx5kCMRvl4PDbOn6QeNpQlrOuAO/T33ap95/7Uc3JYGMo5l2XjSkLTxKPTc2WPnIUgQsyMUZUBkgOG2oX+Zb2Pe6AAcNcnRwCVCAQFOq/Rol7Dgn8CQFCCN8cFfcBbi7f0M2RfwpS31P0YlsdsHwcHrDhJ8KmqBVtMqOV5nsTj+hq6eSnD9uDUImvZ141KG0Rkl5F3UUUJsyxTVRUYT4+urq5sZIpFeBCxbcJyWQ+Xl8RrjLGqqsViYfNeTFKbiX1+fm7rMe5ls9NV1RiBOgbQQUwpiXjtQ/nGDGE1M0YJp6rT6fRnP/vZp59+GiP8/Oc//+M//uP33nvPgjzOOev+tbi/qhof5+Xl9dHRUdPURFhVy6pajsej2ey2KHLLFzATIsQYYgxEaExxG3poxVm0FSOyW7oRB0tvTDubCrQjNE3TRAxA5fm9j779na8ePy3Gk9lyMXRKUKH/tFAK46TPT/KQ7vi8IWKMsZ7d5nmW57mVQu35IL/y93ffeV/1OG8Kv6n10ICM7zd4+b9xHDyAHdB16/KVgIjWxQOgoIOgkCb7rxMu2H3QN8PE3RfAiAT2fEG6BICIIhCz2fVNbJvbagZUFKPp0cnR0VE2Gl9dXWnPo0CrRIDXIHaapJmwzzYbsY+IEHUzsCyjC6sIkhHgmJfQOQGputT4fyxuY1O9mLkoClNO/9P/9MfOuXfffffhw4cicn19TUTHx8dWFbrzWciAO9OciaqqbJCvUYQmIrz+KlbeQHJl0tPZePFKUETO82UbcoTv/uAnn/z0P97czk7GRzFG5zJHTEjG0iloxa+QysC2PaQ71mCNYVubCaxNDQmADqngA14fBwWwGy8j+rGP9fd0NMYk09d9gg6N0GCskZKsv1Xt49Dk0T4soOuRjQSz05kZAdsYENjKZvJyTNoaN40q3tzMnl/PItLZ2Zkjb3VBihRjtHxsMZqoKiBJT6upqqIiqjbst21bPxigCP0oKyJrvu3qHc3OhfXWSgubMLNx+5hPYIrnD/7gD4wMzjnXtq25Dpbp3S0iUUJsCl8AimhA0rpZPr+6+PLLL+/fv3/v3r08z7UvmWd0NvMrWdPpBqaWiNfSAUros3oxX0D4ye/93p/+yT95evHFuw9+VM1uc2Z70vbc+xofTV4FEeHg9TD6s74SUY2i/Js1zA94S3BQACtsfOXu/vrhoHp9uNE4G0ERsZvVtYotQErlJSG3Sq5uH037SDH0hjAAxBhFgIhQKQaljIy7P8ZY5MXRZDQuR+R8E6Cqm7qNVzfXru749LOiTDGc0JnGwrxqPCbsmgBsqIt3XTQDES0Q0V+LyThLOONGs1LbtjbnCxFvbm5ms9np6Wmq379//2yxqG9vb9u2zfO8KApTAL1nswrd2JKYuWmasixV1Q5rIyefPXtWluW9e/e89yEEi2shtth/pNPTTJ7B8DFtvNj5YdjeGFGjoLILUfzp/R/9+Cd//D/8TCTVgIm5bnYFliqH9eEH6TUMKKK3T23MfzjYsmuNyXc8dAkc8DVxUAAd1gTxy4WAEDHRRmz49dgXddh3ntlFItSu8B665IEbdhvBur3fjX3stw/+hFEEkMEoi53LsqJtaws3N03jiEvnp9Pp+b0Ruez69spm89rPFDYho1lGGkpe1U7gikga72Wr9d4PVrLqko1xZeSmCxeRuq6dc8vlcrlcnp2d2frbtn3+2U1RFHmeE5HRR29X9cCgFIqZl8vl8fGxKSoLAXnvP//88yzLjo+PuxatQRHq8Cm8qtx/EahuQ1GMpIpS1b/3B3/4P//j/+/t7e0o8zFGUEWjVmJCRGeRP1iddM2/wc3l9ZcvCiISRANp3OoDOOCAN4mDAlhhw/x/SQd84wtqwgj7HisiEuwTjNa+pavSHRwY+OkFDv6aBn6hzYtHAOtdoowQAaLLvHNuNrtBxCBxuQxN0yyWbT5q8qJyWfHu++/EGNu2reu6alpL/C6Xy9HkCAAUTD91hAcKgsxPnz59950Pzs7OmlpScY7FavqgyjCkPiwPXRnvRJTn+WKxMHYHcyNExAY6Wm+BGfUmshO98waY+fb21kpF05HPzs6m02mWZSJicaRhTm+gYtcy8/AqOmDnYhQ0CJIjZL6dXR+/+873v//D22ePR+dnMUYVYUYAh6uMssZVHefWx2aPB2BOl2WJkDb+SmCEcocSoAPeBA4KYA0vH3VNNv5Qsgx/pt16E7Ur++kgqa1ptyTqhGkfo4de05gYRUZCIlLvcyKqqiqGNiNl36VG0wgta7i1Ge4nZ0WM0Sp/5staRERX1yIiovHxV1/95V/+5fvvffTw4cOmri2ULyJWFNSvecWMHYINRu/Untn1dW3jw7wpHgvdJB/i6urKMsMWArLr3a7PMeR5XlWVdeRa/iPLsslk8vf+3t8ryzLPc1NvFrMKIeTZaPtZ3OEHvFKcXQF8nkUFVXVIEPSP/ubf/If/w/+zCSFzTi0RQpEhOXY7PJvk3Gx8loZbLPJGXbO1qO7UVwcy6ANeFwcFsM7vD6AacXuHfVACiKAEqN1oETPZLAtIqEDCKAABFFURFDWIeNEAElEJoBvyNxz1F0E9IiJKH0e216CkQBG6hmBEZASTuWVRgMQ6SjOrlnUsmrYsovN5VhZtG58/v769nRdFkRU5kx+Vk6wYiUiUVS2sGeO/+tWvfv6zX/7hHzwDoBhjjEoEqjoajQbmqohIjK2qhtDx+UCv7UIIppMQ0RSA1fIboYJzrigKk92IaBShKYyTEglJUGa+iDFKBCINrbShVkFizHwhIvPZMsQGgbPc5Vmpqp1O2/LnoL9jGy9eCQgwyqhtRRVdUdbz63d/8BP9f/9/mhC99wSC2iIoCiGyEMFA1EfQ1BUmoIwEW8qp+wyIooWC0mdstYt9XMUSAAcv4IDXxNuoAFRBNfY/aWB0yjrlcnq9KuPHjpFYRCL2xC+IBCo2D8BqFqumzrMCFarYeu8gyzD3oWokCgEJRpFWpWHiVDUUYwxSU+Qsd85lZp3bSS10FCTGoK2iz0ZXsxn6/PTkPLTN06ez4+Pjzr6Oom0ITTu/mS2uZwp0/vBdznyWZQjc1CG0Qq4lonIyRhQkretaEJoY2tBWVeV98e1vfb/IJ2Uxnt1WRBpjdI5EglVbJt/CpoN5P+xj0BDE7HEiKMv8nXce/uxn/+n+/fP79+/X9ZLZW3WpqlZVDatyndiXzAPAKgMcozjnp5Pjq6vrBw/ux1gx+TwvFot5nntQJUIHmSpIhAjCzCIdn+i27b/+GVhLNgx3Sy6d9jVX2CVy2BOGusYYIYr4PGKZH09H548ur54UReYZmERjjaDEY0IfQYMEImVAQlAEMV5xBdRusFuErv8DAEghIy9KgVxbtUf3RlfLCtBz5mNbW3UprT6rb1L+7/OE6BU7q39T2Pegd7bvwPr63+Ysy9uoADaBFocZflBk68UdWDHzWNAemUgUmEBUlYFFHSkSEIqAYN9kq9F44SVGMcozXskddg5UEdGEawQFgAgaBKXvzyUCEEEFRPRFiYgUVTOBPGIUVAHi58+fk/OW+GXvvPc+z7z3V1/eZFnGFj13DAAhBBF4cP9RtQxEbrGotG9J894br4P9mmI1qU1tmM9IwX3t25pMKVLP5wO7TPJh/GdDOhNZlVEXMRNJTHDpp6aOieFhX+aLPZT+wwUkrTb8K2p0yHnm61oUsFUCcN/+0U/+3T9/2kTJUD12C0KNEXRVH0SrhISmFQOkQp9VLFG7f50foNQRzG2vfOUjHHDA18RBAbwukmcAAIgAaO27SkSgggBMvF6EPsgE2PQskRgjMrPDpACoT8ymE9nrIDGCmkVKRGBl/x2vAHcVhhjYASMAcTE9iQpRpW3bpmnquoYFEhEwqarWdZZlGNlavZj9D3/4w7IcGwlPStUWRdE0jXXD9jb7WqfSMJ9pu6W8AhEZ43/qF9tInA/7yIYKIJ3InANzLKBvTNuWiTvD6y/z+DZOp30H2Sr10l+aiIQYy7IMITDB1fU1NIsf//jH/8s//odt2wakjDiZzCISVZhWB+lU4OACcWsxXfNgf0Pscf62mdsH/M7goAC+JnDA3oUDQ1IhIiLCOn8Defsmp5RvEjc0qPE3GUGAKorrhvCGZUrEzmXMHoL1QPnQiqMgxCm0rNhTbCoQssWIEI2clJSwLMub21sRics2gjZNc3Iy+eCDD4hcVVVWp29xfCN+AIDE29zb5hRjO5Ru6aoTvwIzV1WVpKoO+ItgvXx2IxRjcM5Z+sF62dLGDVmf7ufwtg+Ps0+GJk28kYVOyozWOQO053UgosvLyy9uL//r//bvlONR04bIDJ6TyBYRUXHsEFfHwT7zvOHrQC/904lSB8ZvVgH8VdE9f1XW+duGgwL4+sBBCVCCdeICQD+otuuhxQEd/JoHoKu3d2Kimxg4mBYuir10EhEBVUJyq2FVzGyhc9MfRMBqnUisqnZ6IgLqpI+ITKZHR0dHdV0j0XK5RNFmWblTIiKz95umSSRuxruQbNKh1B7a3YiYLOg0myzLssViYTa7SHe12geL0huT4azrQXnv/WQyUVUrbdK+t9aqS5M8hT7aOzzO8MXdCmAo/bHvP8CeBShdJgBY212WZUVRNE34/PPPgfn9999/+unPg7K16EEX64f+s7G2jOHHYJcHoMkLTB5AFDnkew/4deCgAF4LvQewUgBqJKAYB7sQEYHSYDavSeG+2k/IaAQAAPqpvkm16BpQAVTQAk3Y9d+S975pgh3ZzHtFAUAl9EWeCCmt1Mc6dfNRadKtKArrpDV2fqvhKYrCpC0AWPxqaB0PX+Bg2NlQUNobjf5huVxaOenGfUtHgHUPYGi826pMIFpBqh1KtzwAWJ/uMpT4w1VtwNRG0lvJTjcFMFRRdkZitiUhovfeuQyW9TvvvvfVf/55p7S188EGR1s5eUTdXzfW02uJtYWpKiIBosomffQ3hn33bdtX+83i4AF8PRwUwJvBhhVvOQBBwWGnFQCAdQOkOACaOENEAlAbQYWKsNZk0EG6pgGjGxta355dJY1EgH4UDKEDVCJeLJcWFjErvizLfFSqqpG7WZwHVM3QNX5ms7WJaLlcmultWkH7pC4Owl8mlIcpAbsJFvc3HWAJZOeccxxls1l6aKoPJbW9Xi6XRJTM4UQWPVwD7Lf304sXVoOkZ5dYK4bLSHsiSGhrnxUhhOOz0+/RD2OIx2fnEVSBbBSP7ekIBcyzkWGGA1PqfKD/0hqgoxLq3oLU5wx+u+TtAb8jOCiA1wXiql8XVnIkGbSmAHy3M3BPogkAoKohBIsqgBmwAZSEiCwMhIMUZbcPggICkSIrkCoQILMndCa82DnHyH0xZZHlTQht21qqOUab8yiTycRq9lO0h5kno3HWsz2LiAluS+oeHR3hFpKBPIyf2JYQgpHK2Vm0C92w6A5BPHQs0nGSV5GmBFsewtLC1qK8YebDuujf+Xr78aVlW5rBsheJYXTD6Uls2AB0/96DybuPGNvJ9FiBukZvm9YJANCN4BxWKBGtWnt11ySJ4eWkhen+hsEDDngdvI0KABGGYgsGyVXsCzBSnQkOB/v1ViQi8oC6AHUl/bOsCCGokkTIsoI01PWiLEtEjCIZsyMKbSR2JsVy59PZHTMxazeeBVEAVEA1hhBDCE3bCEQlASXEtm2jQJZljrO2bUHU4kgi0gqAZ8sHRxV07KiznU0Q26jFi4uLjN385pYQHZK0wYS15VqLovjoo49sKi8AWDQ/teNSz2IUY0g3SrfSsPYrM3/55Zc/+clPbm5mzuepDgr2hIB0PSueBtNbN7JtSQtIgtVepPhM0k+D6qMXN4KZSk5kdmlJaWFN09jQAiuLqkMMbVVOpkUxAtC2jY7ZuSwIRIjM1hYHidlJRGCQY0iX0LtQqCEqaJaNbm9v32duVUMMzjnQuHPBvynsU6h/hZBUrO4fJPc7j7dRAcAuy+6OPTe2YB/3X23ZCGEDDXJ/hMBWfANKgEk+kopFehRFregbRbXv86E+szCUROmQ6SgMnFoQkj1OiWmOkNkbN719ylNnk4VubGMSZ2mAiclB6ueoYD8oONnjKaZBgw7eocWNgww59NwGO27jQOi/5P3f/tM+Sz9Vo6YzDnUV7FcDd0BVmVkUQ4yEyMgCGNvw/Po2Oymj9zFGdkBEAsDMITSqlHzEFGXqLnxw7YgHaocDvmm8jQpAB2NWNsIIL8SGQOleDPuJtAvjAgAo2Ty/FPZVVQSy7i4RGY7k7dYzOBECggIBDjQA9FX0KB31hGkJQuz+2YKQCJmAkLxD657qKws7wa2goQusS4hVVTni3Pm+XEdM4m/UxSc1gz1RKNHmAJYNIWvCzjLP6WJX19gjxt0W7h2KYacCGJrVQ+N9n4n3qjoAQYnI5jogETuOinXdXl5dPTgZI2IbJMtBVUOMWZT0WIfSf5XEHmjB7tP4Sqs54IDXw9urAGA9cv3Cd2Ffkd0LdzuUJQY3KOEYYFUKgsjMvp+aAuYPSDfffGVxdzGolQ8AMNQxvQJQFSAHyKCkuiY7Nq9CyXwR6vfRQa0OdK2/HebzeVEUzBz7O5PkNayrvbSlnxTfKYbkBOh6TMYStpZp6AX9WqnP3Tf/bs9gWwdsH21jn20/4FWBiITQUfshKVCI2rRRkJCdhNpawNo6Ns5xtjZscniQoQKAgwdwwG8Cb6MCeFUMxUT6DusgoDE0PPsEA6aOJ6sJSsWUtq2T+DGqrmiWk/TckGLGDWCKwQYFDOtEbWe2ehELoANEFTbaGRFgQkJ0zOIUQIzLIUQR0SgxBOPvPDs5JcS2J1pI7U6UCK4H7anJGzDytdVtGSgAK9UfKgDvc+mPnw7ykgr4JdGrpdWjeVNHHh7TVK9NUzA3yyZThhAIIcao2HVEZ5wREdKaq2d57GRSDA97wAHfJN5GBZCSwKvAysu+EYe/2P+6ni3sd8OBB4Dm9cPAURDBGJW56/jFTh+IujUZkOTpUDsAE/ZUwFZao6p2ClxVDUEERVAUAYSutNEiD0ZpoF2Vi41jjDGOx+MYYxABcjCI2uOgXjMpgKFJO4yxDONF2x5AlhUwcL8GESDcF6K541ms693Vi/R645Ft+xx3OAF3fCpijNoPwgyiSDwqJ5Ojk+VyufB4NMpFhLwry1xx7TjpNq4L/SFe6R4ccMDr4u1VAEP59UIdsCEpEJEGluawmzf2FrEOZBDhIAeADBCHYZ+dAmAYphj+3WxPSxgjqAA4RFV1zjF7ZFINCjGxjGnPOrlxpUlo1nVNgKgwGo3atm1F2HcOSorL66BMIonXPp88uCeDyVzptQnKlANIVv/w9t4h+fY9mn3bNx7Tzre8jAK4AzFGQCDvRSS0TYY4nU4fPnx48/Tzpm7ddBpji46LolhUy548Y+3mDx5rt+b066HY84BvEm9p8dOa9AcrnhneCtp6sSk+kIlcF94lx+QYmZCJEKgP5QqCIgkCIMpgDjgigka1+h+wpgABUUDjoBZE1V5JgPFCqkZAFaszX1uVJQ65cwG6cDMDktrs3s14SyfcQRFRQNsYgkQg9HkWYrSpAGk3gzUQJNs/FVZauaSuB4WG50qnTuqkb5TbjIm/7kMcNJel+7atDF5J6+87q1W+OgQGldAyIBTl2fkDAY4K7LM2Wsectm2dQm0ra2BQEQApXy2Kot0nARRABgVjd+MwEPiAr4+3UQGogkjXkbtuhmMqw0FkRN6Qm1HVJLQiRjURDkBoPO/a0fYKITACogJhRBAiIcpGZauihE1oY2wzR22zIIwaWpGg0CJFRAGMgEG0QVR2CIRRRUCRPKBrAzD7UIfc5aO8XM6Wy/mcAaUNmWMCIRBHmFGGEaURaDU00aEjpVCHGDXPyywvRbEN0gRpoy7r9nZZvfPBhxGplYiIEhoJDaN6RtQIEhiVQECCxlZjCxJQoyPwvBK4SQH08S44OjrK87yu6/F4DABfffWV8WiajtnQLrAuEGHQgYF9i5Y1YZkAjT2G+2MfbUu74ToGn4EOabf0p+HOG56ZfRLIMWioq4W0Tem9I9Zl/eG3v/fscpaNTy5v53k5cs7d3F56B6ARg0AUjat+aUQUhAgKUSAKKTAZj6iiBoVaoVWNCrG3A0zr08t/YXUPXu+rc8DvGt7GENA6CMBqN1NAgLatKtziLTBoX7dndjjZeBcQAUF0CjYUTCMSOS/EIgTQjdUlBVIQDaqsUWwOOAiKRCvmVI39A0IgBCBEJnKkqgohtDYNsaqqpmlEjoiAyGXM0Ik1B0yVNKvV9nY9QBfwuZ3PmtCORqOsyIEwSCTa/EjsvPDhrUm7wcDo3jax7eyWC9k+zM7jD2XWcIfhWXav6lWw01HYu6+lXxAJgRQIRCMKyvnZfZfnyzoU0zIqoAgROuro/62Wl2BTD3UnBVAAVFAA7KeC9f94exH9Dm+j9XbAm8VBAXTYJ+PQSnoS5/72t3dYqWkvBs1Z0E8TM+sVI0bQ4Xd6I9ICwiKCcpdcS/ZvspGJqKoq55xz6pzDLg2rIBQ0WJNXYoMw+gdVvb6+vrm58d6fnJxMJpPE95kWlkz74YthFMVWA4MuAejl6Tb1W+oteOGDgF3ifqOra+POv/CwL4+XOZoxOljQJqqAxHsP7hdFcX19fe9kEqQFCd5tZiDe7DoPOOD1cVAAa+i+pX3Yx36xzRuG8EbQYO3t/Wsd6ACXZ13ln5qH0e2IAwt65af3lu+GvEObCE+dpC7LcjQaFXkBABZ6sXmN0M+5FBGktTCXxV6gZ/Y/OjqaTqfn5+dFUaSm3yHLQoqTyNaAlE4d7qm5TEng1PgaY6zrWoF2egAbwjHd6uFtHyrgO168ErbvM+y3BsxYt08FISKoRABpNYZ8Oh6Nx8++/Px733o/xogQCTEiMjH2H4Z0Rn1RtnelYhWGL14f+zy5g3J6O3FQACtsG5gDaU9mmALcbYH2OsPqPgARCVABwIYyCqKK6pZYh61wM+wJdIgIctd1VRRFURSOjb/Me++zLPfeW5ZYFSNoAwGZsOd+AADjVfben56eMnOe5wBgPkEaAZaCRUMPYCh/hw7B0C3YuDnY94uZ11LXtc+KFz6Fnde+0wl7fSdgb2hr3/IUEAhXlG7WeIGAcP/+/V99/HNFQABmjxJAQHGlztP+qgp7FtzbHGtZ60Pk/oBfEw4KoMOaIOstXACwqk3YI2I2BBAq4sqNYFUg7L7SmS+cc80WX82G9O/k7K7+VeyPSz0Ds5XYt22rqnXdeu9FVESYvPUHJGkCsJofYAlVI3xOcjmEkOe59966g4dCH9a5lNN67Ne0c9IBwxs1zOKGEKqqKsrxHTmADR28oXJgoC/frBpIbx/6N3fsaRJcEcBSM4oQwgff+va//Vf/IkYlAV94aULvOUny6pJmRdoX3F9dyJoH8IZw8AAOGOKgAO5CkjYbBi/sCUEggHSjWrocgIAiMoI455AdIBtdsAAIgiAMhYKIoLVfJVqFXZ4/M6cmWyJqmxYAqqoJIahCCMFxlpLA4kBkxSqcjPqqqhJLj+mSRA83lP47vZANDOMzG9IZ+6FapgDquibaHQLaOFH6NXkkQ4sYd8XiXtMJeMW3o1VsIoASklLdth989KFzbrFYZBhwnIcQ8iwTESIVEdSeNQ8RAHhvdnf9NAcP4IBfJw4KYC8QUbt4/VoV0N2259qLjiZaFYldGjOy9lMiIGsS/UMFsBNJzqbKyAYDEaVZLs45JoeIRAxMitaHsCqpTJdgk3WN5znLshjjbDYry7HuynVvX3Jaz87taePw1t2RBN550u2g0/CYd6zq5fGqIaD+LdaTDQKIyEASQjg9uwfk5stlpCgyNs1qmRhInt+6Wt1GctoOJvkB3wDeXgWQvocmUGTA9T8MAWlXGGrSRxH3FSzaT7FcQVQVaxEAiKAxxlGWdS1azNIEVfU+q+t6Uh4raowRYvT9KF3s5xEqkKrG2LGHxhhdllnMx8atIKK9sBYrq7QJahw+go6pcDSwqZORvjHx0QZ4FUWRBiGs7kb/ImHtBq4Pz0o/27Ydj8chBBvpNRqNQgiXl5fvvf+hiMYYp9Np27bWJTCfz9e5klZnHz6m4Vn26aGNiFl6PexqHu6fqpWGvoveQRAvoKqCVoLlbPqvIDV1e+/dB2VZzmazs0fnz55dvnvvbDa/yYsRGHsEKiKSsu87DzTNiew+b2IKgpjrui7HiIh1VbtsdMcogFdVYPv0yl/10NCbug9vG95eBfCq2AhN7AF1tiEiAFp0AIQEgMi5LAMmEAClGJUQRHu64DQRvhdDvaGo2xJtY0n99r1fbF2Xbun4m2pvcNivFRXpTmfvGoZuUvevtYARGTHq5hz2N4vhJXxdM38HcPDXPkZndxMAlL1bLOYA1M0UU7LIT/fe9aesuyaC9Qpv9bi731/1Ag444CVwUAAdtiUFrgd8XkYm9n8j6OglVlWDiFgUo1skBVDCKEIqKhJCQLfD5bdsrcKa9B+apUPpj33B0oagh158bO8Pg7qadfN5U8e8pHRO9yoJfenHoJubQkQ2X6wss9TEC/un9b4pDJ/pUBZviHgdJHjuPJxlgAkSHZMKGieqajEePbn4CgCYuWkCrvmRKwWQamS3ld9Q3ydVISIvlTE44IBXxKGZcAc2ogewLjfx5QAAiIxg2WCOqjYYMsVqTC+0bWu1+SaIU1PYdqT4jlVtn9qggw6A4UGGkmiDmWfjFOld++7Vlv7oXmwoAEtXWN9y8gaSAnhJHbN93m0MVzLceMf93D7myxy/e14dTZMyMyjev/dgsVhYUj3G6LohEDJkUd1gnoD155jOkpa3vfIDDnhTOCiADjsFHwDYTMeNf6C0+186FK3/AxCRoijsy2yl8Va8bzSZqUfX9MG+8VgbCx5K8x0rt+Vv6YCdR9iQ/sN78jLY1gHQS3azdi3VLCKLxcJOZ53M+HWnsrz8wr6GAL3DKbFpP/2dIUGbAk/oPKi898H7UaRtW8Iui7OxhnRLD2L9gN8GHEJAK+Ag9r2SiQCwpxxlxxGAcRC00VTUQSgCeVmYbWmF/IgMIBGU+wRv27bK5GJEx+kICSYyVofdlP6b4aDVu3o1kC5zW+inndM+w53vuGm6HvmBgfVtHWcA0LYtImZZRkSz2Uz79ENSDy+vabaXuoHhY0q/bstf2KXeXkYis03oBJDE9a8EEJk5NM23vvUt7/1yWR8VmUfCnhVcRGjgWMQYgRM9+GaaHbbWbBte/uYccMBL4qAA1tB/pbe2vHQOAAEUqd/TcgCMEIioLEZELiAAYSsxiIAq8VpNiAH6yIkpoFXAYWuuehLiiGu/pn3UWpYG0Xbsk7QbmqAXRjtM8lfVAdBLPWtVizFa6xkzLxYLHSSKNwZ4vXFsHFwHtaQ790z776sCQkRC6gf6IgJGe0qEVV2/++67WZYtFotmnI/KQrWjfBj6YR1vEvWZ463ja//EEzUTEYG82Ck84IBXxSEE1GH4Xdzp/7/QFh68UQiMbFr6OY2IxD4vlJ0CAbKIoLYxtkkQk4knUVRg6Jgj7Scky3FVYtT/BPMVuNc+MJwW0F3aAMMEw0Z45GuY4cNT7Nxil2aKx1iam6ZRteZhSZrva5/3m4eN1wFSQgUQAmFURIyqTQju5JRcsaiqtm2B1sY9Yk8BYs+A+hmfhm2Xa90DOBQBHfBrwVvnASgApjANESACE5AF8VVEFFQRABGZ0cY/9RhK3t1iCwVVEVVBEVkBFZBAEblV9X40Ob3/bDGrQ5vnHiE4DFUVs+wIEZumcUD5NBuXJSGRKEWNIBoFREG62kCRIOCUUICiYlAQYERCZgWICoj9+FmIKlGNlbqjtLMuXIsRUf8C1SaRAKqaRhnEggB7/mME221N/QDRhgTvXIoYo3OZCCDydHrcNE1VLSeTyfXtTZQWgX3Gbdssl8uiKEIIAF3PMACIgNm+iDTkGZXBROI7LPTu8l/Ook9IjXJ379VEq9yPXT2QBKvldWX5/Pr6zBXXyyrU8fvf+RAIAVQgIiEzEyNKlNAieyKCKEhI6AgJAVVU1G6na2J0rrDMUJ7nTYhK/JvSAH+11PPLY+Va9Z8r2FUb9juPgwewggzFx/oXbmigveAoqABW1iJmIdrRRFEBib0id2akBvMVVmEf7ea/g9UYqlLPGpnKdaxrKC0GEfs5IVZ7yrDHZrwj6LEhK3dc052Xv/OvOxdgEf+2bRWiXSTxpsjeXuG+837z0OG91YgSAcS8tBgU2QPQex9953ZWKRAApEQ39MkkFCUFNnKR9VQNAMqqanf9vG+ZVDrgG8NBAbwAw8D68MU+wF5xiYicZQWRE1hVScKgTNB+HcrlYRBgaPbevZjhdtilD3Bz1PBaOGifuHkZLZjONaxh174C0kYOLJdL7YvujY9oqAM2AlM7z/tCffA1NMf2bd93gbD1dIxTz3sPAr/3e7938fx5GzUqxrDKjgzNzI1Vbdz24YuD6D/g14q3LgS0D71ZZ4LJIh4rrzB9jV8gUNBGQaIAIHLqwEqUnEVRdKEGplaCQxBUKwAlxzgoA7fJ44gkKronMZuEPBGZNlnXQAjYJRU3L3PQ95QuDVatrdun2GHady92zckZniVtSaQLy+VyMplgT00KXWhrM/OSoj3pCEmA7n8AO7TXq+qA4bk2dwAlstu16uNFRCQMrXjvQ1X94Ic/tnYHLV1UidDdUR3kgc3e1572decKD6L/gG8ABw9gDUMBeoeV/ZLHAQArG7f7jIhlWdpMxI4qoC+XTF1R0H/zNzrCNozE4cLM1h72c6Xtw7j28HLuWPndJvBOG3zfxuF2HEzrrarKtocQhjrvDl/k5W3/N4IXNSeviqkGShiR3LKpHz16dP/+w5vZPIoi8sZDHD5W2BWF27j/L/RIDjjgdXDwADokD2D39j3FjruOggDd4BhFVgBCwN6ENw8gqDL7ppMCFEIgcm5dFmBf1wnrigEGTkkSPtgXjMKarIRu2uyW3NyWpytvYEvUbOu8tXdtbdlWAzqYKZZlWdM0djlt21p32N0C7pWcgO0dvoYHAHsN8KjqBpEfFBTsOjNIVaPEoix+/w//4PbpFxHuO8QQwlANm75XVe82yR02zth9En4rch8H/M7i4AFsYqfVDwPRhncipY+HYksABAiQXV4gsc0MsPoi7bvANqIxViOf7PqhdX/3GnYufnh1dx9h593YuSUdZ+c9TFISB7QTiGgS3y4ztUDvNHI3RPn2izuw7Tq85FteaHHvJHWwLQKK5EDxb/+d/2pR1SIgAMZ/lw6eWr6HZ7xj/ft2OOCAN4KDAtiBF0q9uyGAOgj7DP/UjQUGAETpajF35/pM+m/rgLsXPJTvL7wu3FJsw8W8pFW+D0NXZrhyywObhkiif98Zt7e8vED/NaFTzwMFalQQUVVEmb0A/vDHPwkSFUgVJcKGi7MdAto+/gEHfDN4G0NA2iflYLtaZkDTCNLF4tffu9lKuvlNZiIAG32OgIooCoTkM9/E4LNscnx09fiLkvT4+Di0jY3r6ublusrlWZZHE5FRJMYmgiJxkqEWQfI+y/PcRAmRCyEw+w1F0oWGtghNYVAFhOtBFURkpu3bcsfN3Ok3rC+jO4hpMu/95eWlc+76+toCYipKRHXdeO/tLWYmm/6zPMGGrrojCrex/YXydN8O+68a+2S5qnaBN0Rs2ybP8yaGEng8mv7hH/zRZ1/86sff/ahaKvFa3zURY2qOo6ECBssMExMTB/ONWIk4duvUTrGmjzAcQkQvwL7nO/z637Hb7zzeRgVguEOC3PFhwD31IYPtNkSMBGE7grsyG/th4cMgSfosdmlDAESCLWH6SiAi7YXUUBMMP/e4FVvfzjfsO/4rCVBENE4I7emA2rZtGwt/0U5XYNu5+U1DBukFM+Q5AuR5GUIggAARc1+3Yb5cBhUddNW9ML50wAHfMA4hoDUMRczOgMnLb9+AKlqHMZM3kgARgGEqd2CMDIMGGxbKUA6+jExMCmYo3IcYHnxDQg13eHmf4I5lJAVg7EDpOCkrkHriNt74qqf79QEBLMi3onZQBQBLbgtojAouu5ktrm9nUTfrfA444LcKb6kHsBFSWEmZodgd1KHfbSmvtgMjqgIrIip1Xr1FDUQU1JqhmDmCggj1g19gS6qKiCKl9Q2Xvb3zHSIyeQCwx1rX9YaAjeuCgbuw8ywv9ACGb8c+ilXXdZZlAOC9J3QhhFQqCQDWh7FxsV9b97zkOl96f0BEWulItEWLYgiCOQdtAGCxWFxf3aigqs163FS6Bxzw24C30QPos7B7hem2UHh583/jy61ACiSAxi8ETOwdswclVbX4gA442tLREnPntlOyrb3uvNjd2HnMnTchSe07zrLzvNsHTNns5XKZtI41B9j+Q7affQv+7cFQpjdNY4kOFYQYkfh2sRRYk/gHHXDAbxveUg9gG0kebcRehlb/C8z/TrHYD1YCAMbOA+hEGDN7751z0IbuLb3giz2SSjDSYez7ToerGi775Ynih7J+41oGh11plw3dsHHhO9dz99mxHw22WCyOjo6apnHOgVLbtsxuY8805+BVT7QTb9AD2N5TgZrGfBpShBjj2f17qhpjxLTPQfof8NuHt04B4Dpv/oZNvRECSq83ZP3d2/ecFwmJmZzLmFlDX3XjusYiKw83cHQiQusr2bbK0+s7hKPJm43rHb4XNoXg2s3ZKf1f8nqH+YPuDhB5Juec9YJ1M+L7TrEkHHGtjfnu83zTMI0Mq0og0H6Ww2QyaZqGAUDpww+/5b1vmibDg9w/4LcXb50CSNgpTNMWi88kGp19Im/X9p6vTQFQ0hYBElRAJvZIzgQbITh2lvjUnhMihkaCh1wQwJpMu85iFEURcGp9BsQKBGqtx9vxGYF+mAxsCXQchJi2bsJeD+Du27gTG/kDE/TMbDPCAICIHDtV7dMldkzts9a/3nnxXwOKAmBcpoBCgzVjXvhqOUcEJXzw8B2XF00A55H7caG9OyjaDwNAEIAd89437mmaHGAvSEFewfE74IC9ePsUgIIxryMAIRJ2QrqTUNCNCrBaa1RYfT9XtdcbB1zbjkAA4DoCMFAEQQWj2nf5vGlGRyd1GzjGEROjxBgFkJi890SkIUIURvKOHYJqFLUQEpAiMYdGKS+Is6YV53RUFojYLOvcezUloaoo0JM0qKoxFtu/fvVKxLbCToL3L8TG2A51Q0dusYrF2FYD7Zf/SegnTn9mrutl7l21iMv5bFwWuXdXV1eTySTGFpH70caqMWjSr6aON5Fu/3rlaBqHMIi8b7yAgYbbjq3d4SQpQkQQVIpA2tHCIdiY4CixqZczV3iBjPNiUcu8ioVzgpEUJULE6JAck3PEKghIKgiiSiISRFSC64lUJUYJkRmBKERFANz66H0N7+hVHZHXjLx9Yzg4WF8Pb2MS+G4MP/Gy9eHf930YbCcAIEVSIBBUMatN0JwAVEJj7e+GswzlWddepKhRQowSQJVUUEVRAEQhCoIABtUIqqoCamnUXYtapZH3hYnulnrDF68TxxiGv5M8jTEmHgjTEEN7H1OH1LbYWz/y3dtfZsFDX+dueScAgqo2CB5t9icBAKA4IpHAjMRQN01eFm3Eqg1EDvtvGdmwtu7RRVXLEGx+ynZecTclYtBacueNOeCAl8JBAaxh+P1/oUy8e/s2TBil6Hb6FREJkPqIjaWCm6aJbdAQN7K1DGiKAOKKX56ZO5G0VYa022zeJfU2dtsnFl8yn7mxg722mldEJKK2ba0RzNTA9i19yfsJ61I+nXTjxc6l6qD4deMm3H3qbaSRAMy8XC7H47GILBaLNOZsuBgZYOiC/FUxtw/4ncHbFwLaAxzUxkAffEDENNQ7bYR1u3hz+367zPaxqsc4eC+uH9AEYtu25JhYFFeB5v4UUbQ7qUgAdsy8IUMTiEgBh2Ju4xJgXYft274hQAfCd23P9HrYzzWM0lhpj3E8iEjTNKbz0tkTbyi9KLuw84Xu2Wf4fLdvwkuqHALoFLJlShQUgAAVUBD67jZtmuZ4NPJ5dnt7i/weRtxQmyb6UVAt1AjGw7qbjfU3i306/qCrfjdwUACbMIG88bnHN1EIpKqAnQfQKwCkPryeJJRGiTFSbyFCLwgRkQAINYoqBECyiL+AAoFKJzp0T2j4Dh3wMj7Nhs7bvrSdMjTp0YEOQADw3hsj5vCnaR/VLgNsOQC800fd5wTsXOq2PthY//b2nUAF44mC9eeuqkykGlTVOXdycjKbzWwHFUFUEQGgpOOJUERQxAJ49sF74dkPOOAN4qAAOmyIKkiyDPeajTu336EFhgqgf7sVCW7ZU6KUghiqoIpq1jFyxKARkYkBtaOWvENs2UnT8vbZvC+5fVuk3u1PDO+P/TTPwDlXVZUFgtLUlKH/QUap16egd1/X1usU6LlbB9yhzF6oA/q3dPl0UhDLrosgISi0IXDmW4kPHj387Kd/YdI/hkAE0pW6dn6ePTxKn4A7Sah+Uzh4AL/bOOQAVtgpxWCXNLx7+93YyAGYDCXrGNZBwR8RmZRRNeZotFQBWmGRdPYyRJEQQQUh/eszAZtc0ynGksgp08b0Yt/27bljd184bsG2W9TbOWfXqPu7Cl7yrm6GgPrr3X6x8a7hX3V9XuMdzlz3mHYtg4giaNu2eZ43TfPOO+8s6irZ+0Pua93q/X6lSz7ggDeFgwLYge3v4b5v5it9Y5P5OXzX0Dq27an/KxndqmrlH90OCgRCoEiqKkE3CdTWT7rm02yI45fXbdsCfeNCNrBvN+1T3+kn4u4V3n38rcvcG+154cZtZXCHAlhd4EBbQ68AVDVIdJlv2nZ6fGx5jo3pnhvnfZlzHXDArwmHEFCH7e8h9iGgl9zf0Ik2y0daAhkIEGKMzNy2dc5sbGijjImIXSaxm//Fq9lZZNJERMh7ZlYAIiqYnUgUjKLj8bhqmvHkqI1St4s8L+10hGTlhoSqALJeJr+tAJKagXU9tGHjDzt103tVtU9jd792wY0+lpKOn6iEvOe6ri3re319fXZ2tlhUiGhtEERuqA+IKEoYLmO4zu2fsArObyLpyOGh0hXtU4Q7nm+ngxFW/cCgoG2MHn1d18fHx/Wiquv67Ozs+vbm4uLiw0f3nl9eEHFRFFW18K60Bzq8P2qMcRJd0vrQh4lQXhBX/HVi3w35q663Nj4Gw8/wb3Rd3zQOCmA37ohLvNL24Q7MLAH7KS7EjAAKoqp9RAK7UVMEICECAJJojIBobQNiM+ZVgoiEJrataACkIVObgKrFplUUyLIHQ3sTByOFh8uzF0y8sXGoIWBdIuAgcWoH3NAQQwHX77Y2HSXt1gvogSuz5TcMz7gh918V+nL53jvezpYNViCAiFsqCgEIR6NRR3dBBAAxRkwlUohrQaevvZQDDngNHBTAJnAw6HyXwfs1C4FMAQBRaEI/7opUWqv0QQVkQAuyAyJijJEQhCJHEoyAoAoCwOQxRoghtE3TtG3bAmdKpMlUh1RtDgIRHQ0NcxO1G8J3zRrqdcmGUTyMMg1lvZXpbBhQ29oiKSHE/jIHiRC7Xvv76o2dB7Z5b9Oh0prXX2yW92ysRAcloV9PB6B0tUzDx915SAg2BMZwfHwcQmjb1jmnGtOA+BgjEkFXDCpWqdst8qAKDvgGcVAAHYZ27lCmv6k+gGS3Dut2JERgFgErf1yzyqMIIZqAUCKxiTLqCJgANIbQNG3dtjUhkfOKgshdZTqjguAgGqJ9t+1w/EDCmgNxd93l4F5tmfY73IWNyzfFMRx/lnZOHsDqsN14ToV1Ya3reeN9Sne4fUMNDHXACy927cIVrFLHxrlhrwa0H3DWuTKqETSCnt47V8SmabxjI3rKc989C+grwA444DeHgwJYw6ua+S9p/hsS2b0xN1hlCJKCgJICQOoHFpFBJGYlWxlRkJzVhIp21KEcgZhUFSOTI+stUCBGUOkriVYSaihMccW6jL2l/+Kyv3XDebcnMXyxfsbVSXUw+2yoAJKHYa7Ltp0+9ADutuI3FvD65n86LKbj94dZqdie3/v09HQ0Ktq29a574gDefJ1Duc8Bvw04KIAOa6K83wIAb7APwGpC8jzP83wBEELQPl+arMgUb1HS7WMhAjGQoA0TV5UYo4ZGCMWiR4RIDBZjUbW0QVrthhAfegDp1ASblrUO6nb2Kbn09g0FsxHiTn9NUjj5Q9sKwDyANDl54yq2VzK8uiT3h1ex0/x/VTWgqhaUAli1CyYdZg/FXrdtO51OT08n84vHlvS2iw2qxg8xVJkHHPAbwaEMdIWhXfw623eCmU3GlWU5Go0QMfEfAHREwQYd1KSLCIimYI6qEiDbXEmHJjebGNq2SwhYyjGJNhxMAx6uduM14nr5EZFVJQ1/3TgabBVQDm/LhjewczfoBaL91VaeGOKGtfPbB9n+FdbF/RDbZ3+hr/Yy2D6aqiphUgZt2xZFcXZ2ZsEf6J9sCGHjhm97Tgcc8M3g4AGsAdcjOaQgu7bv2x86z57Wq1kUAIkoxsDIWT52RSnkaoWSHRACWTlJzzGpqqoRlGQg+PqfBMIADtEROiQjhosoEltloYwZSQm6YJIqIu1rpu0MYUJEVEICFCTGlbjcNudXF7ol0PXlgiqpLyFpuCQxu1ueQvwMoMrAuh70Hxryd5x0w/x/pUW+JIzjR1KWSNUhdsTaUYwaaDouQUVDJEeiAhqtFggROz8OEUhRiaKKWvOfVZoqgag1/QFYkj9aSW13Nb91wxIO+CuHt04BqJUXIqZ/BvPcO9613seHvhRlW/btQ2/RD8QcqALMl4vpeCINfXXx/Ns/+smvPvlFRKlDLW3IHHvnBOOimmdSlMRMGSLapNyoAgIeWYFCCLmPTjUnDXV9Op0oQhsxxFZJNALoMoYmMnnHhWNiDwQEqF3RoYgqAAGCICAhOs/OdU3H3UrX0rkJKX+wcfnMfrh/eleMEbqZC4iYxLGIiPe5/Ywxtm303mvfG6waVa1ZmhEVQGLcXbOUuCL6LPH6U95yC9LVdIE93Nw/vdi4kI3rtWsZNg2DgkB0zoVWAABU2rplJGb++OOP48Vn9ye5Q9KmKrwnEXaOmVqIBEQYAYRjZFFSZCRRt6waylwx8vX89vTo+GqxRM6kmy6EBCJdbVQEyxwdsB8v41Rt+4hvD946BfDy2OBb3+cE7H+/9D9JUQmdgIqCEAOwK8p2OW8hMEQBtfFdiBBBpVMbKAhuEHjpRJIIiBCA74aTkAAJaIwSodWWIIaWCZQdOEfI4oyFflusJ1luVY02/2affZzeaGydaeNO6b8zBJQ8mY7krv8rbCmb9Ked0ap9+w8POHxSLzT5t0N5Lz5+V+3V7292O6JTRGRhDXleluVoPH7y5PMxnB2PJ9C1cCMCBGmRM+08xi75wUoIKAg2LgIlgkaEaNMgxMbAAYgSoYACqwgCKh0Sygd8bRwUwEthIwTxNSyFlERFRMduMplUVxeW7FVV7WaUrRXGwHqq1n4VDYBIyMD2DwmAlEKMGEWi1CCBUMSxigDmPrPpKrAulw0rwZzO9qL1a19QBFsyGrZkaBLHg6xGTH9KGNahpoXZz1S0urHDPvaL4YPZvt5tbOiYjRc7jm/3an3PxFlKRIRMCt77oijKsvzl48fvnIxPT060lXRRbRvzbMfaVLtmQB0kSLoj6yHic8Cbx0EBvABDQQaDOpZX1QGJSoGYiGg6nV5sVa0kqdj1hg3KDRHRYjYiAsREBERIhEgCAEjqzFAMIqKiAEIAXoHdiEQQB6ngLfm7sc6d60+if/hi3+1K17vtClh2dxgpYmaL/2yca+fxh2vYuU7R1Rw0WAnovQJ923dJJ9p3HwDSyMxBXCnN1Ozz16ailk2tyN7lbZQggRQwtXlvOWQrZY+Y/CRE44IYaNm3LlBxwK8LBwXwstjQBK+KpAAQSVUnk0l/TELkJLCGx1cV1SgCokGVkRhRRZUBjQ1OUAGEEQEh40xVQ8QYo8RgI2UkQlEKouJAJupG4Uov0F8oK4e34g4BPbxdQ/dluE/amHojtjXK+q3YpH/YK6C3YuIvc0UvD1zPIax+NfWmIjG0dYeO7Bq0jaEOLcbgOvDGbVFV7fNGRBQBYowSojGPRtlFQHrAAa+NgwJ4AbZN/q+tCdJbYoxFUQAAMxOs8eBvvBARiIB9NSQRWWNUH1iJQIwATEBESuSca0OIwdQAqIQYIyITDCTO7uh8R9Jw963Y+esdtyL5ASmCZDwU0Lsaw75o2NJMG1tecH+7Ze3YpncWC6WHu/1i1xUN7+GqEwD61VrRp/V8qKrPslZ0vqhC3WSEqkrI7H2y4rfvKgKggqgk7bi2gMFVHuJCB7wmDgrgxcDXTgAY0htDCM45VXXMKIhAlvcDpa4qs9cxIiIq6KKIEAuiMhDaDEKx3iJERwgQNZIiOsfMLVEIbQhBdCVJhx4ArMdSNmztV7onQ+M9Sauh2MIB1YT2076GkwDuCLbccbf3bedBNGm4qjsUwEtc7gq2ctjkouhS29TN7SFmzrIsK/Kj0zMkrkNAQHIelFSViBEJtWv8NkRQUkDoH9MgVQ4AqECHZO8BbxoHBfAKeF3p33+BjZBHVYkJ18TTmivQZQKxM5OpjzsjiPUOqAhRRBUAjaEFjwxOmaFTHpoaqe5Y/8YOmwWV+3ceHnPDT0rxn2Fcu7vk9aTucP+NE+1TD/vesm/BL3xqO83/fccfelHpqDrg2jPp773P87wsR8cnZ1leIjkH5DhDZJGOtHp1Colm2QuChy5dY7Wm3Xokcf2BtQlYLuGQCzjgNfH2KoChVZi+8Olbll4nPn1df7FHQOyd6kfUcTuICCM655hZpAHrjRIkInbsvXcuI3LL5ZKcy7LMeVaNdbMUEu99qANnuWPMHINgKxpDE0UVHbISIDNHZlUNMUqQpgnM3qRSWvmQ/8fkXYxRRBHxVc3MjWqcJPrtV15pow5Z5ubzuXXJFkXRNE1VVRYXr+uaiCw4VlVVjDHP8yTBLbcK/Ui1oXrAwagyWfd40lNOAnpje3peGyvfyEsn2Bq0a5ugdK62bbOcYxsn49GsDVVVlWXZtu30+GgyLRdXN2VZNiHkhXEBIW/0V4sS93VWAOxcWNaxbYkZG8nYtbs+V3c8q69tqbwmXlIxv3H8pq73rzreXgXwm4J959uOD4Ah7BCgsCG/BrqKiEhFJSgAgWMEBVSVqEEjxcAmUZg5ywrmCAOl1YUviLdLdO4IkmwsbAP7qoaSPDVJbd0Dqqoai6IQEeccIpZlaQUzWZY1TWOvzXy23ICRKECvpFMEaXiuYSArVWQOFfZQuCc27H7j7jLTVw2FjcdjJGnaZVVVVVUZ30M5Hs8W1+wyJNdGhSgSwXlvLX7dEbS/XdpfC4D5hTHG2Lb9YjZXSApyCAod8Ho4KIBvCCIromUiMmvXocPYApBqKgfiJK1W4fK+eAd6IR5DQAJ0xMSgoCCiCBJjjICBnCN0eZ6pamxDsqA3avlhV5XOMNsxXP+rWnYrwoP1wlDzRcweFxFmXi6XTdNonz41b8AUhh0k5ULNzIf1HEMS9CbZqfc5Nny1oc7bcAOGWvDlLxD7Ge6Y+FYBvPfewWg0aurFYj53zuVlMT4+mV1d123DMUZQGwlH2gVzNmCLVhECDCHUdQ2cqwgSHyI+B7xxHBTANwQTEEnszmYzRGRmxY4mDNbF8So4MPAAsCPOBI0RHJFGBgcAEdQxKqJa3B9YnTAxEGVIJk9XVvDg+LvXOShz2pCzO/e/41fDurLRLMuMK42ZmTmEMJ/Pzfw3kWcHMSWRZdkwE5Aku0W00p+SXa8QYb8aSxuH93ljz+Hl77uW1DiX7lIMMcRAUZnQOee9txDW2QcfPXxw78tPflVXy7F3iMTkVVB1lW5R1QhAoNSxAEFUdc6FEOrFsjwetXE9G3xoBTjgDeGgAL4hbHjxt7e3qkrEcfXXldUPSUiRIioQKEQRFCRUFAETH6gAIDYAAFEDaJRWFCCCimNCJSy9ceyoWd9EZCGgjdi92Z32yrZsiM69nbfrZZrpV+89DLyNdLQYgxn1KaBvr03u269VVSWrv2kaW4xpi310pCu2DI1p/cmF2lCr2AeR9kn/FwLXM8YAkGVZVbchhNC23JeHnt07/9Z7D49Hxb/5kz+pmnqaZ91dihEEQTA5LjZhRjtPpbuBEmJVVdNzh9LuXAap0cMdcMDXxEEBfENICsBk1s3NjYgAcCdB+sqToYBbe6+x6GiASKRgE4URFEQBhYDbEK2gVFCQVEQEIiouJXBDLniDc44cboSDhkT2hGvm84ZDsP/S1mLuAGBRnbRxIH81hKCqbdva9rZtETGRJGuf77X3LpdLM6gtbW5tw0TUroLjqyCPLQfWBfqmTh0A1iX+8F37NAGuzYfo34VowatROW7qeWzatm0Xi0VZjD788FusoQkSozL5EILECJ5ExMa9ofV2dPq3V1cKzrk6hKqq9mZZFA4sQAe8Jg4K4BvChpScz+faMb0gKPSSZCWYhnEPSIU0iLGNGTuz5RVAISIQWqUgITM7nyNn6pwiI6LGlnrF09HL9NH5/sDrMRzolrKx/v0CcaUehia5SXlL6g7D8cyIq7ojsRfMbJZ+ugvM3LZt27ZGqtwRo8ZofoP3PjHsD4U1ETHT8DiwriTuuKiXdwJw19ToGKPPiJlvb28vnjz96svPLi8uvvedD7OyhLZq2xYImbmu6zbLilEeRchUr2lfUQQVAABn9f8eaR5CXdd2lnWG8QMOeDM4KIA3ClRUBaPfVBIUBerIe1FQiSGSKKm2TUUiIAqEXanpFghABVHQ5gQQogDEGJW8Q0Ir/hFAjI45gioCeXZ5gVkBLgd2CpAzKURQQlJCR0Qr/noAJFFQUJs/qQAgqRdVddgavE8ssvMb0t9+9cQighR7QW+EpxpCVLX579oNxUT0jI10o2yshQoJYyuxrfO8KMsyz0vV2DRBJIQgzBBjqt8EJhRFAhLFjMhcrRRxGyoAXSvwT/6NomLHhfoiNWCcDIqgGgk7sn4SGecU2vr6+uI//rt//fEvfnF9/Xw0Kv7wr/9Ao6pAEGFEYqkXdShzRxhFIQaMDgitn1dUCRFEQLo1G58HdCNCeXMleKgCOuB18fYqgBQL1q6ofEhQrNpF2Dvr3MREHyjftM3TT1QgJYAIgIKowBauR9WMgGPjSacF/+zPfooix0eTZj7HGB0xOyZHlhoFQOccgQaIAq0DYOeQGRBBOfMZoYsBNdRBBJnIZ4SSkW+lbZawqIJwri5HnxM575AZvc+d68JG3nvLoPbhEUVefQxCtJJEQlIEBuzbkWAoGdM9QSSHu3hqQmgYwPeeR4hNaEU0EIAISghtGxjUE7ehvrmd53leL+sy945hcX3pvR/leSTKsnw+X5ajaZaVl8+/UJWTk/J2Ni/LEiz0z8TY/0Ss6xpRHRI6JnBpcDsagzOhdqxt1lorhACgBCggiJyKgqJERKSOdw9NFodWxtOzqAISFTRI67HNQXOU6vnzn/3Fn/2nv/hfL548HR9Nj05GfpRjW8cYJcBisRizhFifnBQS522TqyJy4QAdcT/8MoKoavS+IMT5fD4qjm6urpezuSduQLuPokJEJftkKuwYHPobxR2hwgN+C/H2KoA3gh0fdxQAUEFFFLRGob7kUSNi1BBiaBAERFUFCYHM9N4sylRVUtIuW4ikhECMjIiECEDIVjSioCoQEZlBIyoRKBEgA2IboioBtCJMJM45EWAOWZbZ9DEgAFVEBSBN2VRg7OZOWapACGwACyICAq70wB4w+xS0EBFAQVBRbOKADhrUefKuLDL/1RefNU2DsTw+Pj4/O7HRiY6hbZpf/edPFovFj370o9OT46dPn9bVcjqdSuyJUkUFQTUIMIAwIQApMQJJJ/3XAvqImAb/QHe9jCb7oRsuI30ZftO0iOgyXxTFZDJhwtks1MtlW899RuMSITY3T5/OLx5//Od/LvXiPOfJg2Ngtwi1ExzlzjlfNaFt21akqefiC5vmBqJWCapizgegCXhRiCLUtblt96OZShME1kNd6AGvi4MC+PpI0n8zjG6RfVTVuOot1o4NwhqFoOdBc84lgxrXS1a6Q20fvAuzKAIodmF9cAx9zlOJgFkdEjIhEZGN/SIiwO6fKIKiUZP2c88QAJgJFfrS0z7GTYhd7IQAhAEFgRSUUKLsTEViL3rtuAjMqKooIYhIaNumaZaz22U1n9/OFovZn/zzf8rMx9Pphx9++MH772ZZRkST6fGnv/z5Lz/+eD67evfBeZYVpXcZ0yjPbm/nSjaIBRAECNSCYOQQuyJ7BUTsprAophvbuzIgiLisarszlmZQNEZpzbKMvU/3vKqqm5ub2IbCuWnuy/EYMN5cP/3qV7/87Je/uH785YQwRypHxQJk0TTaNn5SHk/GGmMMrXM8mRTj8TjPHbQxhCDEiCCgpn8BBPqwj2iITKogInmZC4JS3yaGhwLQA94kDgrga2Jb+ne1Oms79EnIbuCLeublvK6rhcPEIqC4Zo2umasrcd9VnIjJBeNHsGykisQQiL1CBBQz/9GhMhNh7nPqJ7yn/Co5tsUJAAFZwIoULRiCKNiJ1kRBg4CdujBVxQBAgopKgCCdZBr8jMEa30wBKCEigSp1Lb4AbdvOb64fP37807/8T59++p9vri6Z+bMYP/nkk3vnp6p6fHz8wx/++Lvf+/7Z6fF4PC4cg7Qn05GIPH3ylfceOj4Fx9wRRAASIEdkRQJiIDItpzv62roHVZRjXHVIiMX+LD0rIVjO2TmXeT8uS09C1aJZXD99fPHVV58/ffp5Pb/JQN49m56Ox81sUS2XTb0UiUToiBEVGdu2FRGLUBE6cpZ7sJg+aRfaUew6AERiUGAFUpHpaLRpXhx0wAFvDgcF8Fq4ywlY5VoVUIgBIzrn6mXVVrVjJujYaazE096YwiNDBk0djIVhKxsChY4hrDPfRYJS5wQgIRIgUVdzg2zvUwU02z8CEQkqIQsoWr7ZZtlrJFSzhDeraLSLAXU1MICA0uWUgUBl7adVqa6odgAQIwBxrqqZ93mej4tcIV4+u7i4eHrv7ISIZjc3i8XiyZMn1iaWZe7k+Oj87JSI2ia0bcveKUhbLXPH2mUhFFEZLaJPQR0AAZICWUYmrRnRLoqoW053IaEnXu6eSD/yzDGWRemcI5CmaeZXN2F5u/jqV1cXXz158tWyus0Ldz4pp/koI1pcXTWLOrQtQnDO+z6IBLmPTV0t51UOiwWOHJe5Z++i1eza81vllgCMbggth6SjybjLVB9i6wf8GnBQAF8T23lgGGSHJYnOpAYQAID7EJAjAojUh4YUVnSS0HMkwLYHAOA8SeimTZEaeRsCYIhRIahGAgVUREWMCEyAjDaKVhEZELkbJWYTxixoROahoKKiRlW2cIpYqAcFIU28Gr4AAGOPI+18iP4ns3GW6tpPQBBVq/wpimKUZ84TiJ6cHD19/CUAHE0mNzc3y8Usy7If/ehH3//+96+uLgGIATnzhNyElohOTk4AQIkRk/4TAIoawWWK3M9PBwUiVFIBJIv5ICiZlAdU4uXiFjvyJHLMzpEnJobYNqqi9Wx2U91e3zx79uzi2bPq6qlbXo+8Ho/yd87vO0cqbbucNVUjdQuijlhVm6ZpAadZfnx8CnVdN8uM6eT4+GhaFkWOIMtlnY8yUFLFVFlAlp42kjtQRBTV0Wi0+pj1PkwqczrggNfEQQG8LobSHwFS5lNVu+kd0kkcM+Xaqq6Xlc9ZRTQKeOvwEl3H5inW9I1IaKMqMxM4JBQEI9chEQAhjJ3BjdFzvvIEEBWRCZGt+wwIFagPjSMCAqgCoQIDqWoqeVQcFr8DduFy6NKmNrJ88BMEQFRVQVRFSY20DiRGSUMTGTTP80ePHmWZO5qMnj9/fgVQ13VdLabT6dHRUV3X9+49qJs2NK3LPJGbzedN3VJWAliACoGoZ1DuWBKgXyciYj9Ki1ARlBUQFFEJiQFAQj7KiSxzoKgxxiY2MUi4ubq8ubm5ePrk5up5aFqfcZkXZ+dTV8M4Q5e5qq1mt1ehbgrHo1GBWVEt6mXVNq1Woupzl4+zyRRibOsKVLMss0Y2jVA1tR+TFVpFUE5t2F07W4S+yaAoisaSPW/yM3vAAR0OCuDNoCsGRQDjaOx/puiNqpJGBGjbOsSWlCHKqklqIPR1/TX0ISArKIoRjG9ARJSZRIhBkYA9aESJKC1rAdCwEmqLsSEhUkUmRFFCUkVxJtCtxIdQe745q4Qn6H5ClxxGBUQBIu0KJ/sQtoAqoOWBMdXIA0AQ7bUeDIVyDIEImTk1gpVleXZ21lSL6+vrtm2thfjo6Ojk5ESBrm9u2WVthHrRFGOXj8bYhGCNBIRExCiETMTI5MhFVcRIQAyRlahrolBWRBAGJFBCIBtDhpqhYtRQL5bL+c3N1fXzy6urq+ViVi3mmaOyyO+Nc39SEmoIAZpq5Cm29bKaCcTc+cI7bUNVVRn6Zd3MqyYijcYTyQplv1w25f37EMLz5xdffkbLcR7vnZ8cHY/HYwAAJbDVIQKIILCpYVq1KDvnmkEDmL1kAIWuCeCgGA54HbyNCmBVhpjkU9/Wvw/Sde3C8C2wKxBkI1xAu/IOQAAUUPFMiFzX9cWzZ2fHJ2F5E5bLzPf1+EjYM+R4z0Z1gETOEVnatmPCAe/87fX1dDy+uroiIi8yKnPy2ayqiyKvmzrzeYbBcTGelrP5YuRGzERkASNQBCIhp8tqCUxADgglEAAAExHFbqYVW6GpqqpABPXeAZAixI6lR5mZ2be6JOh4dbBPQgCAxGD3ekCARAoRkI34RkQ0BEBl5jzP79271zTNqCiWy2VTL09OTsqyzPM8og/ArsgQUZRERIGC6GQyMVWjCEgE1PU0EAYAQEUWRCKHyAgOAVQdofPkEFUkNlXTNCE2v/jVJ229XCwWVbXQKJnjosjGY+emJ4yKCowKWoHEDIEckkRkzjiLGoJKiDawnRZNVGaXjRbXi+lRsQjxrJiWo6M/+6f/7P/xf/+//ewv/9Ozzz7xEJrFfDKaHp+cPnr/o+//+Ccffuc75XiUeaehrZa3bVWfnB9fP74o8jw/Pnp6s5wtF+OTe/MmSDcaHgafOoW+T2Xfh/zloXd/AV77+L9u7FvPPg6r37b1/6bwNiqAN47hl6ezy7Y+XSGEnFTEYuAtAXp2nHpWBxgeVkSsXBS62bnctm2e50xuPp9nLpMgDL4kwhjCYikIbjRaXD1/8suPOc+ZfMaFd1lRFFlZlOU4LwtXFB6jLxwSofPUh1DIMbKfLyvthtQzAFiGUhFCK5ZBcMxRRFViBNXonFONICigGpoodjtoMhoLgEaJAioSRUx5iojEENq2rmtSYdeFlqqqYuayLO/du3dyPL1//z4iNk2LWRZV69AAgGOfZdl4NM4cP378OMuyYjwq8oKZIYa2bUNsM88ZU+azzBMRqkQNrUpY3M6atlrMZre3t7Pb63qxrJulhPad++eEmjs3GmeZc46QGEklhhpVGLrQkkJEUQASVUGLdJF0U7sIUZfVMgRpAgJy3Qb2+f2HD+u2+eUvf/GD737nx9/+4NH5MYX22ZOvLp89Xyyr58+f/8N/+I9O7v2Hd957N/fuwb3T7333o3feeedP/+zPv/u9H10vF0+fPvWT06Ojo4urq/HJmbUEdx+MQyHQAW8IBwXw9bEzDwwAK9YWXP0fYls6H6tao4S2zRXQE6kk6T+sAU1+hqZJWML9Rjo6Oial66ub4+kJRgzUqM/Ojo6rpgltW8+ufv7xx//4n/3z2WJRjifT8ZF3eVEUeVnkeZEXRVaOvPfToxOXZ3kxKssyL8uyLLNi5Hx+ev+BdtkCthpLREZyjMqdiQ9CHGOMFucXQEQmBGKXeSDHgEp08/xagAhAsSNnYEAg9KMihNY8AFJB0tgGK5QUEeOFPj6aHh0dee8nk4lwEYA0iqqKxqatm2oJGt95dC/GKG0T5nVEdIxlVrjcxbpyILqcz67qm5uby4unl5eXi9lNaFoAcYTe+zLPxqPR/ZPzPHPL26vMYe6oyHMiAokxRJBAKoTKgKDSJzuiKkZgVYpAEUhU1Mp5BbIsEwmqIc/zZVVlPj8+Pvrkk0/+5Z/8z++eH0/L/OnTp5PM3z+/9+jRu+wzxZzz/PMnT548eXK9mP/yFz/9N//6X/zej3/yd/7r/+bmdpnn+fT8+NPHlzHGk7PTy9mcfAYH0X/Am8ZBAXxNJAG9vsXaeVLSVq2/1vx0Zp7XC1UNTZsxOlg59atSdBgQnK2TU1LP5pxlRTWvnj25yCnDonDMFfNysQDHeZ6dTcbtOw/++g++rUgnJyeL2ZLJOefIMbMnZvJEDIurJ0i0YH/FpHZs54FcBGSfFUUxmoyPjk4mRyfj8dhnRVmOSDwL2+hCJgAlYBANAKCCEqTurHxU1eloAkbB0G8BANUYBoQ/DkE0NFVtnXExxpubm9vb2+OjiZFCT6bx6vYK2HliZnTM5JAdEeLFV5/ljvM8LzwTSFu3s+tnoW3i4ubm+urp08eXl5dt2xa5n06nR6NReTQhIkfIzIwIIFrPqkomo4wAEULbxI7G2SqsGFAGo3i7Ei9WxYgYNSpoBNXYPW3vfbWopW2947qNOUPm+c9/9pcP79/7wfc+Kh3NLp4WzEXmBZDzvBifzqrmD37/bxSj/MnjL+v57aef/OIf/aN/9Cf/y7/6b/77/+1f/8M/vJnPT09PnXN1jHVdlz7rlmEBRkvOHJRBj1cNYR1gOCiA18V20c4WBEAcMSPObm5RVUMU6Fs7++qaYU4ipRmwHzKegMBNHWa3i8ePnx6NjzRCTtm8uZlOpxkziCxvrpbXV9xWAri4bE8mR8zoHLInYiTvnPfo+GxaIhMiKbLlcJUQmcpiHESb2LbXTx8/++pziUFAkYqi8FkxGo3L8XRyNJ1Op5PxUVZmoW1skZlznHkmz+wQsaqWqioRREBiPxNYNTgU1RiCqiKCqFUFSQjBohxlWY5GI0Ssqmo2m52fnAcFDa1KpBg8kGP0rPcentXVYnZ18cXTJ0+fPH7y5Kur5xf1cp4RjEfF8fHxw+Ojsjwh0BBCrK5j9Oicy/KMMscOUCSCQGgbQUQGJCKwRIvv6KZ1PYOhwKAoiqKioKKCoqoRVTBK24ZmOauXy3w0nRa+zAiq+fXTLx/cPx+XhZMwHo9zoraurm9nSr6s9J0PPry+vv70s5tHD88n46Is3H/xR3/zX/+7P/0H/+Af/OXPfvbf/e/+99/9/k+ePH06Ojk/PT1dhLD9ITuUBx3wmjgogK+JHZWaXdFOBOg6oLoWT1UAtdFXz58/V41gHf+I1HMjS18bycxEXSMS9dLfOcfGhk8+42wxn1dtO58vl8s6Y+dPXBvqej7zbiqgEhtsq+NR7jKvqmFxDYzkcvQOvMOQScyJfRMDOe+zwuVF4b3zeZZl7N18PmeAghBGTJghE7IHYhWMKk1czJ5eP/u8bWNXqpiNClthlmV5VmZZ4X1GROPRlMh5n2dZVmZFVmboC2A3D7FVaJumrmuIIam6GON8PjfyZwBwzo1Go7PT45ubK+99meVZkTFoDE1oq2ZR/Yd/+b/Ori+fXzydXT2XEEalf3B8PH10nDOqEYsunjfNbZ7nk2LsRmXWsZZGbRZN3StbJFcU4BjYkydEp6RBFaKN4CKEQVAO1Bp3UVVRQcwHiCABVEgCxoY1YluPyzLU8y8++Xm9uP3gnUcxxtjUPnPjvKTp9Oz8gSvKx5c3n3/x1be+890f/eTHX3z+yc31ZZll17PbP/qjP/pb/+Xf/X/9j//j3//7f////H/5v/71//a/u3xyATEOP2xdU8UBAxw8gK+HgwJ4LexJA6hRwvV8xAAAZhRfXVyCrBiJPXFEhD7QHymmSVghBNePU18fhoW3N7OmDk3dzm5mJEDvEAOqiLZBNGjQ5ex6fn2Vl7kjnuSZY3RM5GxwgDC0CFDkGTqPpCBNrNvYLkPNRFQWHlIxopIIQmwUQRQdu8w59E4xJyLnMmSaVctodJ91fTu/jkFFVETaNjLZdPc8z4osK7z36vPpO+9RPrLZLgAqGkwUJwWAiPP5fLFYZFkGUe6fHmmIdbN4dnF98firr778/NlXX9zeXBYOHUqGeJRTOSnzzGUu+jCXVoio7AfIEInUs7oBV46M3pqZ2XnvM+ecslu0KsRALAoKoAGMbIM6aqCehBlBQVEVtTVFAipWd0sSUaKEhiEWDE0zz3A6u7365OeLac6MENswKYpx7qVpm6aRqMvbxfmDdy+ub/78z//89PT4hz/4zunJ9PLJl97758+fT0/5b/2tv3X68J1/9s/+2cnDd44fviuOoQ3fxAf6gLcMBwXwurjD9EghWlJQ1bZuZrPZ1IiLBWx4bE8fqh05nAhpZxETe0FAZCBGYEBWpNvl4vLqmhWrqrq6upKmaZqmaZsRZW1sBMExQpR2ufSI2WQkTS3OiYICk7EniCBFiS2hIGaM7NjSBI6ZNdZEREiATEygNpIeW4nGMocIQaPG0IZaAcs8U2BEBwCIqd+MEDnG2DRNtWwWVzfP67qu61qVfn5ydP7gwYMHJycneZ5TCBAqaJdttYhNNS0LHOehaW8uL+bXV09/9cnFV581i/ns5mY2v5E25AxF7u9P8tI7gsigDsEx5g49I7Px80cIEGMAZjDPCZ2CEBJ1LWPStnXTNBEJfBmj2ngZc2Wcy7Isa9oWjHuJsJuoYD6dRkAhVQBR+f+3926/lmRpftDv930rLnvvc8l7ZVVXVff0fTzumfHYYzPmwQjGQuIBgyWeeeAR8YCExANCQuJvgEd4MEZgC4kRvomxBiTbwp62B8ZmBNOmu6e7urq6LlmZ57YvEWt9Hw8rInbsyzmZWZVVXdm5f0qdjBMnYsVaK/b+7heXPtXj/Py8WTYioV01SremWayWX/nq149Pbi0Xiyowpnh2dlaW5fHJbU12dXUxnVRfeuPBRx9/+A//4T+4c/v49fv3Qghvv/32Tz/4sFD9M7/267/z937XzaZ1+bOPz4p6OuoLnD95+zuFHXDAs+NVZAB+DYC+iGWGeXZXIqfq55ji3r/btdnaOk8Xh5H0XMonl0MzOuqifP+jR+dPzu6/8fBsPr89rQVehzIC2mLRLpqUyplOjqsgulgsg5ZlWZdFLRIgIZQVVJK5h5CIs7OPf+tf/Yv/5B/8o9vf/GZyC3W18iTis9kMsJ99+FFd1pUUmti6mzjAIKWEQosCwuQM2lv/3QLg7imZAQyVd5ReE0Dpnc8xUrr2wprzHFSgwbPLNGsnntzczHLlHXGv6NWUtyYTsypZG5OfLVaPf/JH//gP/jctq29889t/6bd/+yO7WjyeX3z008qjrRoNDO5xcRGBq8vzH/3hPz2d1rNJdVKrTusQRAl3V0/uTk9ZTUpwAT3lbATJrW8oAgggBpoj18VmcripaijKKoQEhFw7KfPyFOH0lAogh6w6IRQKxeGeGm9JN7fUNjQSkpKslm0yna+sqFhOj3/4wx8Vk8kbr79uTdsu5oVIGy22bXl0rKqL2KSUQlEJY1GGt7/02nJ5enH2+Ad/8kOL6Tvf+c6srljU83b167/2q3/4z/7p29/6Vi2kWeqKbgAudMONBSE+a5PIdeN/1vH1B1PPi8WryAA+Ga775O2cF3HLlejzH7K5lsBisajKcrlclqFo2/bW6UlKyQ1KKUPROmAem9bVY4xCscoA0RBCKCAKh1ky9+poWgRZFOX0aApagpdBDOoqJqTDzJC6UgwigaRB3N1JJwTqQje6uGTzi7u6G9zdAirPOse6RiZBydVAuS68A3cXS24QEfG+9r47PZoZuhpHKddjoBliy5RmapPb9VFx9733P/yHv/d3/8Uf/JOY+OD1N4IW4i3h6gp3sQRAU5wVPA4+CRQBYOIdYc49bbKfRUAi22roPjQ462DIag8AmuaiR2rOrvoaSRizYT8PAcuFMcwtcwZhF3qTq/Xn2CbpSvgQCSn5qnWDJGNMbTSvKSqicDH3bBXzXE1bSIhqSq27iJpqUZfBj46qqgLw3e/+/pfeeuvLX/vmaTVZmX48X2CxOj0+uVis+mTt7mPGQ4/IAz41Dgzg6diN8xlcvvvO75eA3H21WpVl2TRNNvHXdX15eS4SQgjs2+SuVivVlCxBLDsAckt0DSHGGC1dLZcawsnt22qYHh/lXKQQgsG7xrnuyQxuyW2YT6fSmIl7Fuq72fa16ryrOdHNtos4HWFIU9hye7hvr3qsP+Vmh9m+lRtAmlsyV9Wjo6N2ufrn/9cfPj47/9a3/9Sv/OqvwRJzeWo3Wvalp2GTB9GyV9jSemKSnS7bJpFhXeyZFgkRGVLSsrEqX4s+ADff23O7jQS9frHr0kzuHmNssk8byMe5QXzeQDNz0lKymChOiEhAbu3p7ka4qGIymVTTSSF6/+7dd9599/d+7/dee/Ptb/7Kb3zl9BbIn7zzk9O79/d+rg444NPgwACegr2k/2nn3Udp+t5bjbpyYOB8uZyVCqBt26OjSSiLTPqbVUOyrieiUua8VJEcZIk+KexyfgVzhtrgRVnmyHuq5AI7EHYNd3NYkRmFOftYRCSHYoojFx2TDeqWhf1hIeOUNO9TE4Yrhwz7oY7R1vUD9QWQ3cJDS/rlarlYriZV8fZbb+bm71UZPLbmqRBVItFzg3RaWs2vljRVLYoiu3CzCjAwpD5logumkr6X1tZ7TCkRyH/dMgIC2LVbbDGAjT856Ehdfl9qmmaxWCyXy6IokqXFYtEFblEApNQ6NTO/viwdkfv29HWncx8CijBoauOXv/zl2emdqyb+0R/9USP6myh+6Zd/5eMPHz3rR/bnit2dz3he09B14xzwYnFgAE/Hlry/xQM2zl//IU8pnZ6evk+WRXl1dXVrdnc+n5tZVVWhLFarVUop50NVVV0WxWQyCVWVyUSW3PNBcgeR3K6WixxaGmM0Mw1FTt0laXCDR7eUUlf4mUMgfkedMwPIFn70eciZAYwp4xb1HzSAET9YE/zxbgwi8zZos0kVY5wv5rGZF4G3To7eePgaPElupOlGz+W0kUuwpTamNtIhAk9d0SQXgKSAgEDpgGVpf91HYTCY5M3L3unxa10vc58tfcwAfFAaem0nLzBz7sXVfLVaiUiMKcZYVVUIwcxENKVEGszoiSbDjaEoBiaanMmgpLsXIVRVVdetVCxSWIJPnjw5/eij6zTLAw74NDgwgGfCs+sBHRnc0QDatr19+3ZZlvCUgx0Xi4WIFEWRe4LnQpjZ55zNPuypf0rJk5hZNCuqMov8y9XKhaumaVM0szAWhntxOLqpm/qakg3zHNP0sQA8FuSHK8crHesB7BsDj4vlDZfle8d75UixWdV1TU+WohJKj20TmyWnU6ELncjhla6qFC16W0pKyazrk+NIkso+LnaDlMumIch7E5C7j9nR1lb4yPgzepUbpq0hQrdzi2QnS0yrxfLq6ipz4raNQk4mk0Bp27YSMU9U6UpjA10iGbuONABU1b1zpAvDcjGnqqoeT2Y1qnB0HKo6xggtbvqAfmHwWWsAzzvOATfjEEn2FOwj8dtFIMbnr0PTNJPJ5OjoaD6fTyaTpmly0lNHqXsMQnoaIZ9MKcUYk5spEbS15EQT2+wRzdcYMcjy5m6jKvPrXOJNm8aWsJ+t/8MF7JPRtlaXBxlcBd7nsnVUWGQ8Zv6ru8PcU9uuFqvFPAhOjo/rsspUNQgErnSB0RNhKgiFdgFKqY2xiTGmlBwJXUfl2E8+l5tLKUVs8oNdbJi8dpa/tS1b2DI9AUi9Cchj8pjyO51MJiRzYrNbhCfCMnvrW0FbSsnNACFVJADiTjM7Pj6OMV5eXmZ18OHDh6enpzlK9YADXjgODOA5cB1NuZn0Z+Qs3+l0enV1NZ1Osys4hLBF6Afq0LZt27YD9R9UgavlIqZkRHLzLqMYmZEA0NyqRQjA+kYu0iNnk2UStkva8sEo4wwYEfoxoeQOxgxgbDPZRVEUQah0i+3i8vL8/Emp8pUvvy2g9o3n2UXkugiyYpQ9qzHGHFYkIpn6j/f/BqLvI71kTL6ve4Pc9HVjxA+Y26rly8yHIhaZTSFZCKEqS5LW9vzJHL3ngMiRRN2LHgYfxomWQgjHx8dlWWY2kN3FT/2AHXDAJ8DBBNShC3oZB5xwDyEYMCY6a2pCutnIM5otD0a3qiwvLy/v37//h1dXk2n96PHj46rM5c/q6SSlJCLT6TSE0DRNGauGjdCpRS6XL2XRNE2booYgRWhjDGUxn8+PZrNCdLlcHh0dtatGVcuyyKREGNyDdR3ku/BN6SX0GCOoMgqYFBGoWF+3eaD7ffxMF6c03oSUUl/urbueJLFB3ca7pKrzxZKOpmkowcxWq9Vbb72VKZ2q5o5hqhKCeEoeE5JZjB5EtVQVJEvWkl7XddAQVCRH3JpJ7qM7whClBPcQCsvtdpFjXHu7Vld1Q4bPQGZjuSJFNgENJFhEaJHC1Os6V1dXFxcXQaQqysViUdeTuq6Xy+XR8fHx8XFq2mSRHgC0KYVQFFUp0vWcz5l3JAkV8ZhS28ZYRJKkNk0zmRydnZ2d3qmzPdDAwdeS9/ULaA+5bkrPy8O+gEv7hcSBAezB3g/rDZ/g3T/tPeN9X8AsCF9eXs5mExKr1Sr/6XI1b9tWNVRtHdSG3GDv2ZKIiAvJbA7yvne8xRSb1plSGxtP4hCRKhRFUQwi/5bZZwgP5YiZcTTVLcu4j1nj8+/eAPb9zbNCk9WgvSOPx1nTdAAwoHdqGwcmnScN871qbab12FUXuC7FuqscjJWMEVOBu1tMKabURk8pz0NAkoEiIsNOwtyTkSxUlZ0zoNBgWDtXuomQol3Rb8td1kZK1VO3/YADPgEODGCNgQLuHu8aBLBDoTaOr+kXVtd1LhxfVdXZ2ZO7d29XVbFYLEIIdV0/eXx+cXEhopPZtCo7BpBpPUJvhVdxItuIzCyICpjauFosXRIdy9R6Mma7PzfMPtyZVcY2yeP+SMqt6/vR9uzhmsj2P9C7YUVCSo27xxRjjLkudHfvkOmKnMGbPac5rDWYGZkZHkmaJ3Oa5Zn0ga17HblDHoAIRtR/YGlk7zofMYBeg1nrBB1f7EcezHQxxkziAQioXQO27LU2AGZRVVWDCGNstQiFFIAT6jkvzUGIqhBu1gJIDoPAbBjkgAM+Cxx8AB320vTrSP+zXL8rPOagz6OjIzObTCaXl5er1SoHwrt7URRmdnFxcXV1ZSNkBjDQmi7bK6V21bhZqSGoZmqU2cDjRx+nGJEsU7291N/dhwyDwcqf4dcD+5jH1vLH6/Udapt/GmiQaL6KsSiqajozB4SkjkczbLiXB+x9UF6FjrLe9k5v933lY2425Nl6a1srIpDTrWPTNk3jqTOR5RsFFEdKyVKyFIOAnqvIwZOlto1N60h5sexzEvIEsjI0/uRkBrCVlHfAAS8Khw/WNq4j+tcRwevIzdYBgGwouHPnTuYE7n51dZV9s+gDdVar1Xw+x0h+dPcxA0Cfh9W2rScrNFQSJHlwFhSP6fL8nOYwVxDJZCeVKU9YNsFRSM+zbNENC99L/dcXexcglCN7QllMJhN3B8QgTnWqQ7po0K5Di7tFt67QKNzgln2qsEQ3AfO/cbTSeHpjPoGdHDds6jS7r3jrhQ4qwhC4JSLam33YRwcNfyI9xrhYLBaLRX6JTdNsbw7XpfTyIJnTb3lTDjjgxeLAADrsioe4ho7jGnFy9/zWQTYaPHjwwN2LophOpxcXF03TlGWZKe9kMgFweXk5mPjR2yjGtGKwMKSUVKQqiqBaFkUVCgKLq7lSciNH7iR2jTHmCsMxr8G4FISPpPK9y999aHcXPMFzh5loSMm1qMqqbpPnRsSjLZZc7XLrcWMlYOspW3xu97VuLWSXDez9JGztT25OmafU2X/cSWZ3y/rKZGYmDpjDvFmuLs/P85uledYbunG2puzdIHmeXezvpu/9gANeFA4MYAM38IDh5O41u8fYxzxy1ujdu3czET89Pb28vLy6uspFDtz9+Pg4O4dXq1WWH7MkGEbo/I0inozWFwvSAHM6rI3zi0sMaVn7iGaezNb54VfueES3jOPjfRiuv2Hhe9hAf5eZFUVRlmUmcA7J/4xiRILnlpnZDbC1ik2GEM1j14PhGtvddSu62aY0Xng+GAJ2h9SNgQEMpTuG63O0VUppsbh6/Pjx5eUl+hCscYAvyVwz0Pp1oc+lGDwN13xgDzjgU+EVZQDsf/YlFcd0/Fppa1swZFdmOB9IrlUJAyC5lI3nrumSv97u3rRpOpslignr2dGyWc2XCwm59wjqutYiLJvVarVqrTUziOdmMGXQUGihQcyDM0ABJABUqjIUbYoxWtu2i8UiRbeYci/G5JZypCZ7RQQOIGZSM+IR7m4J2EmV6tY6wkCC3T03vMRA6LlxPCL95u500JyeAMtGHqowaMo1Pbs3kq/vHp28qw3htumaTiMGkDBc8NQXt8XMBiF8i0uNrx9+dsb9jul4jDElTwa4FEUhHPvbQSLX6rCYmiZeXV21q0Xm6O5u1iX95cpM/YPX86GDiIitxZXFNvNG3+a2ONQEPeDT4JVjAEQWNbt2TjRHMpgJID0tAwBY7v/amZy7f8mQHMmR2N2+/gdL8EikLLzS0iC6JkdrZpT66OjxfF6eHL3/5Mn03p1YhBbRaNHa49PT88uLW3fvzFfLCNciNKkBrKxyZ7CkSoHfrmftxTwuVtPptKirBhYDZVJ96Su/9Evf+MbFxVWMVoRQFNXV1UKLEqIQgYiToBqEEiAByDYWEQkiKrm6P8Viyqb2TBTZE+X8T8j8ryOZAy20mFNeYS6gCkIhAJCMZpkUAkipLdQ9NikuzZrI+OCN1y8X86quRYQuNKpJSS01kDRzgE3rBkK0WcWUUqAgmaWWnkjNDXOc4lBIAdmm5tmKMsT4d/lWXdI1FSpOGpDc2mRtEkeg5A+Gx9ZjK7k6aYoxtVVVFRpobNt2uWzaNqqGejotq9qJR48elWXZtg1oZZDMDqfTo7qavvPOOykls5gsikjTLtu4Sql19+yz8QhPaI1SlHRY06BdpPnZ6vKM7Uo7o5CCCkDoCg/IXQHs2f/hM/93wMuEV44BSF+gf91VlUN0eYe9SsCOdGndvXS4Edkp2Z3oBjbvnwmVAhoaT1pWs9MTU71qlqEqV00DmBHJ2qIucqLAprElgUY66UJfXM0DNITgTi2L2a2T+uiYoZgeHxn8cj5v27YI1fHx8dHRkRYFqdRONoUKtc/y3WfVucHfODaPdKvLJpS+p+PaOJP7AYzu63aPuSCa0ZO4OxJV+0hOkFRSIINE3GkbEKMMrmOMtIThJWbmbF31zY1IocHLfd26gA3nwdh6w94xzlGUFPuNijGmZO5OqEqhWuQmaG3bdOqURTOLrWkoLy8v51fLajL74IMPfvbBBylFx0ZfX3GIixuFmhvvEBbgQVDQVfrK2ICx3x84el3zgAM+GQ55AGuMSfzW8Rb19yHandfcuxFPkg1Drqptk6ZBHz586O3KYzs7Pl2tVuJQ0Np4PJud15NCdAhXN4M73cigpBGaUlvV0+SW3HIzgCbFtm1WbdPM503TDKb8bJK2UT0fUc2tbvOpgfCtKbvv2hg2Fjj8HGxBcPO+0ll+LrHeru4gt1+x8UlaQlXVzF3JRhjTYuo6EtT7Qp7cSffNd2yeG8X4i0CuTaTaa+jnqAT3cKWIOCSbngY1wt1FpCiKUBQaQpvifLnI0ZwpJcDv3Ls3mUy+/8MfvvfB+0VROFEURdaHOph7FhncHV14bjYYUhhElH0djnW++SEv7IAXg1dOA7gOYwI3nNlL+p/lere1HuDu7qlpmkwgWvMHD994+5e+evvunePTk+zfy47Buq6ruggi7XJFB5JZTNlBmkuGiQhVXJh6SrFcLlerxXRaZ79xWZaTycQ8Nk3jXTZv8lGdhmFK3Ix874T36zWAsQ82nxmo5N7NXG/F2L9qa6drSikXTXP3rJhtkd1sLh/OZGypLOPHDevCZkDn7kscg5vApkKw9YrzO83xP03T5AQOKUJZloM3e7Va5W3M3oIEP7+c/+DH72goPvzo0bJpVm3z5MmTYcM9x7m6OxKHPIPOMtktJ7URtmchN6zrgAOeBQcGsI3rvmZbFO2G68fnBZa3OJd6blOcLxbVdPbal750eveei0S3tm2VYjEppdBQleX88ormniylZDEhAU5CIGJAE1dNbIuyrKaTVWxTSnfv3r1161auLZM7yYQQyjLsneQuJb1hFbuL6n2/wFCdYrCTINfn71J1s2l7TLk60u9dIthkMiPV+1BIYiMVa4sBbIUA+TXIus6goHhfRO+pS9v7+joiPjh+O0LdZeclMwe0CKEqpQjlpCbZtm3HXB2qmgw//ul7F1eL7/z6n5mvmsv5/Pz8IsYUo6WU1tU+ksHcPfXmo+6hAuRGEUN00HqGBzXggE+NAwPosEUBt2j9XqK/9/pMXXfPE13s4yq2raVQVFJWTZvceXW1QK6N08YgOp1Ory4v4CmXB0utmTncxSVHmwBYta3RKHjy5MmPfvSjd999N8bm8fmTJ2cfL9sGQA5LX61WW7Iweqq9taKnWhUGRWHv8nc3c3zZJrrKClkDcNKGyNRcfa8312S+knnAmIVk4uibXHl46F7GdvNUNyY3OjPQ4q0I1IExDPwmlIUEretaywJAjtwVES2q+uj4T975yXsffJTARdPmaKVJPcs5ZLE1jwl9XesuSsq6CkLZSZCTyLrpdXGxHWxfH5sDDnh2HHwAG7iBB6xPPiUPYNt2nF3KIYS2bZ1alFUTU4wxQaScJMPZxdVsdkzvhMfj6ezs8sKTucNi8pg8medG5S4kRcWRckeB5eXV9773vQ9++u7PfvLly4vzs7MzVU0pNc2yqroeimOvcmdm2SSp2Gf62AJHNdfGZzrjvnnmcp5dFv1FHVF2F+TyZugfK5ZQVhNS3AnCczme/nFGUIjcimDgPT1dzi6BMekfU+2hKyQzPyB5vQ9gL4fYGnnv9d419CWDShFcWNZVURRQyaqYw8uyfHJ5dXL/wbf/9Hfe+en7J8dHx8fH0XyxaiYQeqvM7W4okmk5ScjYLuWIMS6Xy/E0SB5sPwe8EBwYwDZulhb3ntxLXQbCCgAwDWEVW5KT6dFycdmuVk6dHB9/5JwvV23yQGlTJFnX9ePHj93dLCHFHFQjgJkDaFerejqlOcyKokAZLp48/vjD9378g//v9q1b07I4OTmSwNxvYDqdWlj3cx/cm1SNadto/lQGMLarDLvhm6IxSe9F4zGDGd2SQ3rMzEMIKZNUCh0u8D7UnTBAuKaF6/33ka/CR07gbqMtu71Hi7rRCYxNm5iPyqAO68XA7UbLH4KXRIQiAKQIGsKoqpKEsnj8/vlf+av/3l/5d/7qf//X/1pcLct6WtZTkrk/hOXiFnSnC+E0kgoaaaSAnnsttJHWpQxsYTuR+IADngevnAmIwOC53JXvMjaSTK/BddcP0rC7u6f+X0ezDH52cWEOLasIvvbGlybHJ03Co7OzRdteXM6T4fjWcUrt4urSk7lZbNq2aa4uLheLRV1WhYbT2XRW1dlEkH3F4jg5OcnmiBwINJlNnSaKLI3KThOYQS1gn2xcFEUOUMkXZ0tLV0C/N8Xk9Q5Gf+8NMhk0F4dSgqgno3dVPYcL3DhfNpPZ0eXV4vT2XUBitBBKADnJOZPFbEnP3bVms9l8Ps8TznsYY8wGFu/7pg1uCe+L3O0arLZYYGe66XN3u88GmReeg3xssxFCfhDNs5s3hEBSgpZVJUGzzx7A0dGRu7dte3x8bMmPb99pja//+d/6j/+T//Tf+rf/3YvF6nvf+5extaaJ7hR0g7s76TkebLlYxKYNuVeDuTiaprm4uMgvKO+MiKRDmehnwHXf360v+M97mj83vHIMYICP1Py956+7/hnPb/3Ju9xXQNREpSjqk5OTO/e/8xt/7u2vfzNMjlqHqxo8Ja/r2sxAj7FZXl2mpimCVIV6aivy8YcfPf7wkZh528yvLjzZZDJxM9qY38Sxt/bTY5fzbZ0ZKxA+VhF2w6WMQB/wA2TanCXZ7ABwcQiduSLC+llbD+ImhvG3ZnLzN5zXYJfZ7z4UQlGVoCKS3Mq6kiIkNy2Luq7LUEynU63qJ/M5Hn8sZfWd3/zzf+Ff+Ysayu9//wcDB01tbJsmNm1qY0qpWa1IKqVtW+tZ3Wq1yuEAmRFu8a0DDvjEeOVMQA4MceLD13vr1/XF7sCe4vje5wE4ds+vCxLQRwai/HUVpmhuhFLKuj7mrdlxev3yxz/4/vvvvntcFaezaVFX1XS2XM7rulZh2ywvzp+oajWbFUSYTL///e9/+JN3L588uXj0eH5+UTDXwacLzSwHfiZ4dBNPBctdgrhlNnmmfdvcq+FkFop1VHM0M56sDVi/D9lV4O45W8qFoShBcTdSja6dmSb1u9Uhx9SPmZmPnL3Xke/hgvEtA8YqgshGM4AbbslqhPe/IjcIA6QIUEnw46OjLKHnKCwAoaoFgmrSRnhCeXx0+/ZdAHVdi0guHB0tmVmOARKRFFudToUem1bdixpwb1cN1/auHL/76gqtB7xAvLoawBau0wM+2fldSTkfk3SiTXG+apZtXIGXbTx98Mbx/dcX0RbJpazq2WwynV4tF02zBAzwq/OzD95/7+L8rAh65+jkuJpo8rMPH73/k5+mVTMpQrNcrCtbALkIT1ZzX9T+7CrL+dc+27lbHXZt9Dt7lel/7gNjfZWIvDPoFQLm/sBkLpVqO42xBjaQsVXjc3fztwT58ZyfUQMY9qFLBnZ3QIogqiBDCPVsCmFODoB527YOtGb1bBYmkyYmu7hcNXGxao+PT906/0Fg19Mttz4GsFqtstfXzBaLxWq1EpG8D8OUdjfkgAM+AV5FBpC/0bukfK9a8AnOD4FA3Rk66MnN4BCVUEC0Tb5qU2t+sWzn0aqjk3tfemtyfLxs2qZtT26dqurF5dnjRx8u5pcprhbLi8XVWVotmdLX3nzr21//RiXh7OPHtmqnRVWKZkK8JoJktjjdQBM/Gbb0iY3Bs4hqzt51MiQAr+kvtE1RRIpQAeLW24I26lN0NF1EsrA83uQt38yWyH+dsD+e7daZXc6xqw2sKW/scgIG74iIGFGUJXOjnlEPd5LLNi6b2MbkGmR69Nobb5jh/Q8/jDG6Q1VzGVEA5immVlWXV/PlfKEkzK8uL9u2PT09zf2ivfdGpL4P5Sd+jwccgFeTAeBpNH3rsuc6n5uk731Q5+vLLc+DUgUSqqOTJ/Mli/qr3/jma196exlTa+n2ndNbt07M7MMPP/zgg5817bIKwVL7+NFHH7z77sn06Btf/qUvf+mNOyfHYim2bRkKpaiI6Lr8DUQgHAjr3gk/L7bIJX27ucp1GzVcQzJFI7tOkO4+lCcalABwyAljXdfad8r1UYbUrodjSzr2kYowznvY2orrXuVeHrDFewBIUAYlWVXVfLFYrlZD7aCyLEMomzYtYzJRI2B+/8GD49MTM7Rtyi2RsxLQWYRAceQ0Y+9rQU+q6uHDh3s1gE/zKg84AK+gD+A67KUme8/jmvO7dH98nIs9tCnl7l9OcbiJFEW5PL+qRWZHJ5pae+1BnJW+WpYihfLjjz9+/PixU6p6GlI8e/zIyuby6FZV6K9869vB7J0f/8nl5WUIKqPgFlUVXRcye+pinxFbknLWMwgK2WVMZTp+zeOGIm59L/iiRbczW48Y85mqqlS1bRvv/S5D/MZADrGm/hjyAMajYUe6H6sLA2cav/Exn1gTXN/s/iiSzf1UqaaTs/d+tlgsePdODiLipI4xJrgTZV3Nz/3847Pjenrnzj1fLXJLgBzPM+SUiUjbtkIqJDatwcuyvHPnzhsPHy77OeRX7JbSoQrcAZ8ar5wGMC5Ted01A8HaPX9tyP/GE2x3/EIDgKzAW0yeun/L5dIJVzmfXy3gb/zSV976xrdSKHwyvfPGm7dfe23VNu+///752eO0WrbLZVWG8ycfX55ffO2XvvLb//q/8cu//MvZgNCJulkcJYWaKzejJ1jDwjNJAuDZ+rxnoXuQBxFQ4Pkn3dCnN48UgDRcnEvn9PtgAOAC0F3JvsYDjexMRUZDPze45DQrLwoX5oKgACQ5LKeeEeYJbnDvi0m4c1x5IpdnVXbRlv2ZjQXv1V18ZFnauszU814HqJBBCgkFJZSTo0XTNk1Uo63aZrlq23a+vFKwXTUpJQhZBt65rVX58ZPHZoZkiAkxWUrioEoIoW2Wqo5C57G5SkmnR9M7d+X0dmOekrt7oATtfB4HFnDAp8SrqAG4dImmfc9d974gIxzoqy7SYYRb5zEYDNxZA7CYm1h1fU7gQ4bwwDy6XwkCaFeNUkRz7HwqMy0ydzeIN6mhElJ+uFopcO9b3zr/6KPzJ08aLe++/qX5kyfv/fgn2qS333wrrpaP54t4fHx0Mmmt+fo3v1FPJ7/7u//rFNOyqkIohcFNcw1pi24JBnciBBUtQggMRa60CRK544GbQygM1EwwKet6n55ijJ61CSEosGTmkW4CTzGbwgFQuh0y0GFON6GDHlO01JoldwksBVqEkFKSgoXrYjWnerJEcTcxOOkQMeeiibN7t1cBKBQqtjSVwi2KeKCQityLhyIYWJ0LRKkiSgpcLMHooas0J+5M0UW8V5CyFoMulgog6A5RAkTyZAZ6UQYzizFFxEUzt2ZVQZdNE1DOZrcfzy/Lo1v15KRCfVqdLB9f1CpNbD0lW9ri47PYtCw0wRAsBlqQGGNwFlRLpgZWAaGI3tYTvZwvy3rWmp639tbXv/nat3/l/Y/OQjlzgzIA1q4a0KgSLdGJ5ykI8VmbjX5eXolPbBDbZf+vFF5FBnAz3F0ytQeGQMb1+WtueeoZZPHT4bk2sg8MwhwOWvIE0qARTJTi9HRKVdW6qgrI/Mn52eMn77jcun3n5ORkuZy/9957k7p+8OBBWZZf+9rXf/KTd1Lqu3y5kyqgUswMRHITs8wR1AyZ/gOWiyT039o+wMVklHmbvyJI5kCiZQG8s4dsWk7Meqc3kNMR+kHWRvnkDl+XJnXmejZ9Kqw43Y0EQYgxuQYpS2siAGUgIFCF+BDMC+QH5J5Z66Rfyz7fHJnbneua9N6o9w4UYewxzj8TPLlHS7ltToFQaOGiDFU9mYkWsUm2SgGh1BAtxdWKie1iPplUhpisXS6uvvbNb/zh7//jr7/xJREJIu5IIo6uBWahKAptxCO1mp1ydrSiWFEmCrpmCTlP2gA6nf7KKfEHvEAcGMAau4KAX58H0P3kxpmt4927ds/QnUDsB2R/vp7MSuqsquPkWBnaNj55fPb44p07V4uvfa2u67qdL5qmATmdTn/jN37jZz97Lyfr9mKtQ+hCNwPBbDWnwYw0kLkg/a6hI/MlM5fNhOmc5prbkvS+37WtvB/eAVCwOeDGhpgZVaDisjECXIZfves8RpIqOplMruZLCHPAqIgMBePQKV8JfeBm1rfWFhszyHZawICdta9fk43aIw/XZCt87gQZ26RFWdYTB0JVnt6+U01mMfmqbcqqCKE0Z0qpLKfz+RwxnZ89Bkxm9V/4c3/2d3/nf87V+rKvPiREdrG7FC3qapXAIPfu3z8+Po7RVIr1nD97Kf6AVwcHBtBhL4l/6vm9dP+pV+7cmMS7DCgjJMupFAmFTqQMJRJWyza2mF9effTkjD/+Uanhzp07t2+dtB99dHp6+uDB/aqqqirXcqB01fWfoo0P7lZw++Lde3s9uW/t23eUGRhkZgAk4V3a1Fi5Ho6Tuwu1CCTdDYALsxrQe2b7yCLmWmucTo4u/bElkEyWqMpNYg1gNy/Ku8JwskUvO9VhX/Gf8VS7e/vdGP46BBSllIo6FEXRWirKspzUVVU1KS7my0pl1UaTGGu9uroKRwFVeevoOJRa1OWHHz6a1VVRKIM6GUQUbuy60DkZQpXiqiiqe/fuT2bTpmlEgvUN6J7NZXPAAc+EAwNYY02pr4n3vy7+B75NfvbyjzF92R2H1lXTdIcBTZuYrISWRTG5c+cBdDI9XV1dPvrow0dPzj58/4PXHz74U9/+5vHsaL64enL2eOj7OAj1W/Sd4w4wQyTMECfTL0SkK8u55gEdWd7AFofYWNHabrRB+t3d4MmdIiEEiph5JvEkwBwm1JukRv+q6cTg0RJEU5tUxMwTXNw7PaazBhlAQIeHcjTVGzSAMfW/4QVl5FJFOTKVQbUoltFmxxMHtSjNuWjauonzxSoZimKaUntrMsXF1fz8rKqKwif/+9//3bqqqqIUJVUoKnRaIl0o5qAESqons+PT20GL5bJlOHxPD/hMcPhgbWCfnL4nvWigEVsmoKeqETsXJFoiYJ5Gj3MDLRmhdIqEclKcvjaZnd6xZlUfzVbzi+h2dnn1R3/8vdfv37t7+/bZ40fsii2kBCE8twDXgfD3pL8zvm+WPxt+3UvyBnR0Ok9xvd5R6Yss+A9u803qny9rU4KK5GpuKfbDeuYCmk04OZEtDygynR7BJbdLbB3ljrlmzGm4uYr1kvvpjdz1+997tvNkc5Nv2oIUjICALIITIQQtgplV04kUoZrNpkezejKZzo6KujLGUBZEeuvNL4GYhHJaV6D+4Ht//OZrr5VVoapOIDvW6QKnqFs0E60ms1u36uksgdE8uGcf+wEHvFgcGECH60j8taR/566bqf8N4/Tmnw4GisNEApgcLUGIliFoyXrysBBrlvXR8Xvv/PiH3/veBx/87Jtf/aqltp5Nq+mkqCtVctRFS/VaJ2GvBmyYgPKsdn0AA8PLjlXv6z2IqK+DJteEWPbtYUeiRakBov00cjzSelYO6aviJ1WtpxOqmBm1ABYkR15cAw1d8JYPliDvY/mH4szXaQBbRHXgKINy0C1HuigjS+buQZWkqFILIE5nR9Cinkzq6dHRrdt37t2dzIpHi7Oc/PGVN7+EupraDLMKZ0/EcTSbhRAgnpBEBJa9HQKVpkXrLGfT49M7EsrtVmaHyM8DXigODGAPrhOE954fTA3Pdcvei8WR4CSNINVIdbTm0VJwRyIt3r937/2fvqNV9eCNL/3sZz979P5Pz68up3U4PT2eTKqqqgwe3RyIKRHOMsimjDxQt4wxEezIOinsOry7O7ocqO1SPH05Ghmo7eCJ7XPC9izW4CAhYn0TmGEa0jdQ0J7OGYQioaicSjpVnKBIX+zoKSLxSP/ZkJ5veL+7fHqsAZDsSzfTCReRoA4rJtM2xRYwkVBWk+m0KEO6eLJatQ/v36/L4k+++/v/4p//YVkKYru4OC9VlXDScihV7glDUoM7krGsZ/XsiKLJLWdKj6aV90YAgx+cAgd8KryKDKD3Am7guosHSXBzhG2r8daVY+F3LAXv0F86kudkJjhABQ1C0sXpSBQKxBEBiKiED8/Pb9+7H0J4d3755le+/PDhPUWalmVdBsKauCKpRQiFhLKQIrAv95+N19181nQtmdlgIxJVkeCAoys1k28n2aaVu2dbTSapuaMt+3L5ZibryMwu8znFOOgH7h4tLdvm+PRUQtG0qQiVSYyrWGjQ3gcwbLsL4d7EVNQVVdxkuVxV5WSxWM6OqhhjUNFMoz0m85ScJMxyV+ThNY1X7Z39x3M2MoBQVgMzwybPAJADq4bcY5Jt21ZV1Zwty7K8dft2E9smpenRrE324OEbbYomSg3VdPZ6/eaHT56cnh7/l//Ff/5///N/MSmLn/zo+9/6xtd/48/8OlIkqYEuvoorh4QQAC6XS9Pqcrl8/fa9ew/eeHR5lbQ8vXX34uKq0JJdTgmzHtYrKS/gG/EC8VSu/DnjWeazq6q+OngVGcDzYpf6b/3KTR5w3ZU3n+dOkoER4nAiEXTpAgApK6ABTIRFCF6qJy0k86OObgpzDCg3o3Eca/N3x4p2SiP0B6MiPzsMDyN+tp5/v/jdxW1wShXP/gpuFICDu/QmHNN+G4VQ0VCEUMKyckIXdvdyox6OgKRr7+HeYsDbuz0uaLF5fvf2MQZhXKXIkym0ZFFeLJbTUNx97WFMdnx6u55WZx9fGvF3/tbf/u53v9vMF21Z3D0+PplMTmfT5fwSt08oIqrJzVJmSCDUIEend+vZaYIiFOj7xHVrdBhBf8b07QMOeAoODOBZMSb0vSC5TQd3yeKzHG9B3AgmEID1Nt8sGCfAVRK0dTgRykLUJa2UOfrS0ZkSes+ncCjGaZZzZjnIwmMGMF4UBn/pNdP2nfMcVQHKFHiD7/TXG0AN1OBCdziV8NwDYCOhyWmSiwxBqKEqQ1Va07pH64dyeHIPQB/8Q9A4jnTaJN/Z48Det4xNzjesd+vXXf4hEpxmECkCVQgtp9OyrrQIhL715a+8//0ffvjo42kzderbb3/l9//JH9w+Pjq6f7+9ukJsr56cF5D7t+9mxSWy6KOXPDhEJFHvPHg4O71toBaVuzdNMyqXdPABHPAicWAAT8ENVHsvEb+OB1xz/iY2YLn6DgyQzAkEcNGGHh2JgkKVAd46kzkEtMwAVJwcJ0ANGoCbiXQmoDGt7K7pmlr2ZXQ6YdhIWi9ub1FEH/GMgQGMz/cqRHevFgWC+lBjYzNfgd53h+8CgdyJoiiKUK5kHtvkou6eUqJmHpNy3GfuSJMdx+Pqcui6BK/BEQbXLnZUgXFLgzEbYN8IsygKUg1eTydSVvOmqcrpv/bbf/n/rP7R5fnZ2cXFV3/la9/6zd/89+vZX/tv/5tpKP/yX/pLabX6e3/nb3/8wfvf+ObXzpeXTdtGSghBQlDkpmgC6u279ybToya5hCDJY7SqCDmxup+HZ21u2O0DDvhkODCAp2NLjN1lA3tNQNcZH3bOS2eWHsWUZhIqANxAt17uM4IUI5MgEUImgbtZinUIBhtTt3zLmLr5jr96d4YppeyQXUeOUjqLMzmiQdvejq0xNzWA9XEoAlUM4pRO/4CS2su2HIT0/NPMRDWUxdI9RouiDk8pqejwXIENxYt2Rfjx22Ef8rQbGrRWg/ZhGDD7OcysnpROtpaOJjWDlkX57ns/+/abX/3X//K/iRQRl3hwG4q33nrrP/uv/muEAn/8x3/rf/wfHt67e3Lr9KMP3p/eOW3NUly5sNaCYEqpNS+nd6rpiWuxahpRcSJ5ooQcMnvAAS8WBwbwrBhTT7/eBHQDNdx7fq/8tvYH0AGTXgMAJAmUMCGECU53g2dhuKtlJg6g6z/srkGF25GgY6k/O4HR5Xv1tLK/jH3Q53iBW1FD3j2dQ87EQHa3b3SXIoiIgblGA7H2VQwccKD+JNwthDKE4Fw3hjT3cS3ovBxdKyH7tvR6W//uXeOXtclK17b4up6KiBurckLRsppIKLxt2uXy8qMPPvrog9X/m378kx8uzs4uPn705L3375+eLs/P337zzeqoPjk9bUXcYnQTpOiWokljrYd7d+6FskyG6BaQMyS6dgjIHUYdxrEGcMABnxwHBvAU+D5CP/7TDXc9+/Fwbjii9yaIbPzpLEJICS4lqdnZawRJDZKr9ECCZZo4ENwhtXfT+jHkCrhnu1BnDFHVrAGwL/IDS+6uO2VzOlo87tbbD5jDQEeXra8PIUACrKsavZf+AkKIUSCezKXQbGF39xwtz5H7dyTdO9cdU0aGqX2kfziwa1S3LTsS+iIQQ2JBVVUIwZOFsiD5+PHjt95668Mfvft3/8b/9A9+9+//6If/8vj+7elRFefzN+7fe3h6u1kuX7t77+GD18KkOF9crVo0gRIqCFNK3sbSpaqqBw8eSCjNQKiZuVBEUkp67WftgAM+OQ4MYA+McHTloPHMpv8tQnMde7iBbWwiW/9BFycAyTzALAJBBIFioIIQUQRL0QlxJ7uO4Y5E783i6NJ9czx8Z2fJUSVmQ30bBVXVBzUiC/gpubtqWM/fRxQzWXekNMI8284tl+V09xy4kpUCA4RKErmcJ7IRJhfWhhHokgMwaEZOCAO18D6uSSR3fBkRehe4GEVdkrt4pwORlj0KNoyWlY6xs7dvpbmlrIzfxNqARs02qxSUdZ3KylZtoWXhnKg2F+d/86//d3/3b/6Ne0cnv/GdXzb1q8Xl7NZr926dfu3NtwrD7dOTR48/OsKJCy4uLnRSTaoqJHFrES0UZTmbHd+5tVSJ7iJi7jAo3S0CnZVsHT11gwfpgAOeDa8iAxCHguKguRAxC61ZSoU73DoS0BliuBkBeTPMIkZEZJeaDEE0mQS5daE4+VH9XQA4tOvps4BEgEkVUlzNqvJKuFy1gWyim6oL3JMDBVGFUBRBSJrRPPcHgwipuYRbXnGmoyIaQshF08yMZiAx4md5CUMClIigJ5q5sYs7W0RL1tIcKcdjprZ1t4KQQmOSxpJDQl2V01kLUrQu6mju5oUEd2fRxcOABAFxpRPUUJrq9Gi2XDW3j4/nF+cPbh9dXjypJmVVaFkUSokOSW6uEFVVCAydTmMeYzLmAtK5yB6pgRIIcYObGSEYZQzACQch43fnDktunkIoXZMe32rqyUVrUs1uH93mvHmtqj5698f/+Hf/l688OLk1nS4vPlqtFr/6nT/tyqPTWahQlZVXnB6fRLNlG19/8NoHjx59+Cc/vX379u3TW/PFYtWk6Z370a2BgSBdgMxPSRhMYIkAOrmkj5t65o/m6MO3i+usZ9edv/4b8bxxSi+mnPWzf0MPGOOVYwDP/nH7LD5Q2x9T2o2pnNt/yFUwBSZg5mEi7LzFVKORnW+g6BuyDxDrGh2IOXOJTHOnI5mJkRQSZBdsj7U4PBxkO7SZ9cXXnA56EPPIzupkhHQkwCTXrO/9BAZxiOfeK24AZbBko5NqPbsiCBnRHQNyPeROzerDlNab6WIQOA3U8ZyJzMqGjbS+6vTAnkWEWNdK2rIgjRW77EEWUDUo1aSIsCAhuNYuVx9//NrpyZ//1e989O6P7p+e3PryG7ZqXThvl5Pi1p1bp3U9TZ7LDBVlCH/0/3xPVcuybtt0dnEZzY5u3X3w5ptJOvoO33z9tF3KenAAHPAp8coxgJ8jtszWnx7khhmAfRR8prlCITAk9AIApfPo9qQ8lyHqTCsKkqnTANbNbzvKmKy/s/NGbgQujd3dcDik11vMPbp1nRx5rUR5M4pizQDGK+qI9WDh8Wxq6o45queMUUTQiMq7iO5lAGM2MOyDOClSqbKoApwxlhNRgYpU9QS3Zr/1W7/1B/9HnGm4dTQ7Pb7VtG1U07JAgkcvyjIB55fzs/nlIvm0rlaqV1dXsmom0+md6QyzWcT+DIwDDvgscGAAnxN2v9WdEP3844zTd3NYo7tRBCOH50CIN8jZOHiJXSyTmWGI5BlNLI8zMJWhBznHBiLvA6KuX4Y7LcHM0NdXwKY72kdpxgOpHa7J11dVlUm/igxVHDKf04FFbWI8yK57ZmAAz7jtw14rJYiW1WRlLuaTsioggdQy/Pj3v/vOO+8sl83RUfHoo8eFlientxaxSYbUeiw8SGHmDWQRYWUlRyfFpJ5NpncfPrz/4MGd+/dnrz28bOQLRfe/UJM54IXjwAA+V7xA4a6nayNjhXCDFMJlFBbzLPNx7+ux9eOLCPv6P97rDQO5z/9nHy9GPyW3IXbJcaoGNxASRAvs+FS4GQs05gEDegaQCpGhOhs2RX5sS/frVWxdnzHyfvt6+dcMghwFBBezIFKWYdVEtzid1GUQFXn83vu/8zu/89FPfnRrUt2+f//q7NxVE8VYHB0fTY9OoqVH5+ePL85bUqdHX/vat++98frJnbuT09Pb9x+U03qxWl1Ejzdy0wMOeLE4MIDPCWOSNya7n+zLPpag8xnLKb6b10gf6zk+iXGg/SgfqivhqYJ9dHNjhGHShCP5EOVJY/Y9jC92AQiqBJWy8J2A1OuY064G4O4iklIruiHyD+sy6zzbu+Pk67iHBziw0f8r5wDvblo+EhHSqNq2CwcmkwmDAvbdP/hn3/vB97/82v3X7t/VyWQKYShX1PrkaGHp/OPHy5hWnsqTOw8ePLj14P5bX/3GrQcPWFfzGFeO86tmvlwJUBUVNxnPzxc3vJ3PeSYHfBY4MIDPGxtC9yf6EpFd28UtBrBV274T23ci3/tfKSIdAxg8Byl19RRGdvNkyTv/8eAD6By3W7RhXM/OnYQ4xWme4y9DEYpyq779ekXX/4reB2BmEgqPG6x0i0I9VQPYvPEmPWzMWroRSAijWSlsUjSwnlYopKU/ujhbud968GB66+TR5dXJ7CiJRsoq2cVilZKf3L391TfffPjmW/def6O6ffvjj5/MjauL5cVqaaKghmp2MjtanJ1h6I28P0nigANeGA4M4OeDT2kCusauveea4eTYxtJT+L7u8eBQBdyMIpnSd4JzVwlZxgzA3XOoUM8K9tanzOFJdFG4U4KEIu3EYe1ahHYHyiWpsSaLMqx6axNu2rXrL9scvC8fvWdBTI4oiODKU5ISZYBKFPzab/7ZP/iDf7YSYjKZzSZf+/q3lovm7OoqUe4cn7z28I37bzysJ8fL2C4TFmdXrKeRGoGqPirraUw+X60uzhehz/844IDPAa8oA/AhNtHWNc6waR/oz2zf24nGo9oAWfC1PXF6n9XkY4xVVS3Jpmnquk7tIoRA6W0XxJq4u2CIBerTu7wv/7BL5qRzJq9/JQOQGweYZ81Dsr0lmVlqIkkXiAoIwmEiyQ3etistyqCFNQkULQuodPkVm9abMQ/gNpCbDdR1nZpl27Z1CJlEqqqqppQQYwiBpANDKf9s0UopOcUJEYqq5laUYF/f30UCexPQkA6ddy9vWuY9MeaODDJvI6tyaXHlqZhWqKoVsZzPv/Ltb/8H/9F/+O6f/CAQb7/9lbfeeiuU0ybGSDHCnA18lVICXEMCmNxScgqhq3lDsmTR9Qbbia3CZ29yeV6J5FNKMOORXtA4z4fh23qDEfJVwCvKAF527GoAY+y6MfNJdEUaDEROpuXID7FJeZ4D+TluliuGZmORkhHiTnNEhzHHmeozft/HqxsbYXbtZgO9Zl/obWPJoxG2fs33bS1kTA4GBrA2HAlRBMs0XZRVLUWRBEnlfLk8ee3Brft3S9UQiitqXKxWKRWziRPJCdBJtwDQnQJB17QBNHAdsnoI7z/g88OBAbzEYN+cxPsQIHc3cxKWZVwapWtuPphuujAeGrBuNN4Jns9PejxrAzA3T0jZ6CQ9IfbcLMwdQg/BhWPzxhZdvmGZ68rV7j7ynG8rC6PnDmYrDLad4aFrnjH0Jd5eedfjbDPoCICGkCDRBAzVZCplFcFEiamZ1PWkLAS6amNsk4VCJmHuyYFsDSOYC/MNjc/EQYCOfl+6ghkHHPD54MAAXkpsUL3+DDoxH+Y2MIChJ3ym/SCRKw2M6qZ9GolTVc2MIwewYIhHpRmTuZlTAiXklpdDHsOYOo9XMZLQO3I92GfWfojRVqzZw5b4v2PK99570Y+pG4nCO1f2168vEAlIiMlIratJCGVM7hAt6lXTzhcrgEFLFrWGKqm07SIHSREqDhAybn0DIyiZiwKg7XWSH3DAZ4QDA3jJ4O6yL8XJhyQv6xq1rw0Xo2iW4cyu5+OTGZlzL2E43K0Xb9fE3d2jm8GDCoNusZqBaV1n8BnOcJMBjBc13gHP5Yx6BjScN7NcVHlr8hw5ycd7dcNy6aTTo9FlUk2VYdU0eX5wCINqgVCa63zly3YxqTQXIModFQT96hyZEzuZS3H0jzgoAAd8fjgwgJcSW9QfnVPLgGxqhsua+m/ZN8amkrFtxMw2SvA8z2SEksPsaU4SLpaid30KABeRXM9ZSLjbWAO4eY35ZvZRQL0GsG20yVTeHKqCgTeMSl6LjExDsBHvkb4F2QaD3NWxMsQlUJmaAmFSThTijRV15U0bQghFaY5Vi8bMGOpqptZIH7aL3uADpqysGJADpIaCf7bTvOGAAz47HBjAS4kN8jRI8blypAwF1tbWlYHcZ1uKywZpW3sIzPU5Z2LwXM9uGM0MuYXAenChqEIYvbP/bNlwdld33WJ7DWCjVkRH/WkJnpKocHxX9kOoFuOVDlFAuxwvz01Vhx0b/iQOdwaEAlYJ61CpK5IVGmKKHr2NTZu8dWEoq6qqq6qdn2tu7eAgHQ6nwXMNEAOQBICtU83cXlSBzAMOeCoOH7XngD2TePycW8rnUvmz21cAuHSNISFMuYKYEe6wnHoFkhgRrzEZHXVD7PQGd+9aymw972lBO2aWumIPgEvyLsLSPLknpzmdORWA6v70PdzhBwQ6jtUnFsim46LrDmBmSOv2ZDnBAWCuCj0sZ/AN7Nr3t6aRmaURLjTCiATPmyoKVQmhk58K0bIsAZpZCGE2m03riaV09vGjHPk0jn8aZH1go+3BAQd8/njlNIDB3JElOxFJdlMI/1Cm2AHvasUDADu/Xc6GGuVEJc/N23OBgSxuYjAu07xvPJDH3bLUb7lD98yfpAFChoJF6c3K3ES1Cto2S0teFEVZlkEDRCHi0UVEVXNWsJkBLSAwUy0k5JYx3ezd3SyKBBhEhbnhDOjuTdtyMK73pNNFDGZmyehrHQOO6Mki2uSM7iiqsq60qM0aWmMwgzndZZ1m0W1PZnAEiJzZrKox2aSommQx+Uk98WauGgBJySV6UVFVg0hQFVUJQUUF0g3oQihFqqL2vtUPXAQKo9Gk6N6PihaqJD15SqltW1V1UXdGM1AkKEXBFNv5ytry6Pad125fLi9mJ8fzdgVPAhehM6V24VRhqOoQvbHcCIejkhUcfbC6guA+fLD2fw6vMZftdi67+fovHl5M/4CXZ71fLLxyDOBT4hk+ZXzWCz8Rsm3fIC4EaQJNwGC46HpWZfuCJzflRuvzwQYCuFlMqROtO1sKqWCf4wYdNem9hiGZuyckdzV3IgBmHVczMsElf2FzF/h++jdl32yb4yEkHX1GG7pGKJ1lf0dHGeoh0UHq0PgspZTTxKhd+aN1CrQYbU1WBg95got7V+pO6ERiEsIZIUlLSUhGOC0hKdD3QiBBJ4noBDqlx3or3J5XCgzdXQ444HPFgQG8ZDB20vIQGQmApMEhdCNGxd1SSkHWVv1M13IegKhm4zgAumcVYXAVYIMQj8Ny9lNt7/OzBgPLmNBtMg/pB9lxTa+v3ON9HT9rpDf41sE1D0WMMZc8klFQKXqvMtcjj9wn+0Z29+SEaFnVN1iQDjjgpcCBAbxkYF/IU1UZtCP9PZ0SCeNaCCmtS+/0fl4XETfTME6Y6kPpc1W4mxyz9N08rD6NrO8VvOHg5aZQn094n3PLTTf1esxtJjSKGd2c2EC1B5v+ePLDsfd9FMbVT90BFfQBQh2tz0qDyOCuEBFIf2MujScynU49Rz4hazbd5QIYvOuK7M/r43luHEwfB3waHBjAy4chTEU1wMXdKUTqoyOp3sfjAxv9AHI390y2Oso4cgvnsqBjV8Qg4XZsY6CQI6LTVUpwOoFs1CcxIuvcpOkZY+q/ReL3XjzmR70Ra70u7NDBXVVmPOxwb3JjUHLNEgBkb4bqurnkwBpFJHnKvQ2mR8fJsgfefYcKi8MOrt0DvvA4MICXDCRzGH0uhdZlhUFyA5YhS3agd9Gt8DWd3Sa4PfUfru+J65iq+eiuraxdAiAoItZFZ7JjAKMJj8Vw6TWA3XUB2+I/RiL8J9io8e1b08CIDQwP6P0KXUm4sUlo2Jyc3DBoALwhbJ+fR0DndRrAJ963A14pHBjASwYHjXBCELrkWOvMLimHHg30OkcxWg5h6Yo5D0aejk/sSNzu7mYkc1fh4ZyKdDaT/tS2VI6+5eSmJZ3YouMCdzgIuq+DQtnzEgz8a+SC3vI9jKnezSagYQTvW4CZmfQx/ira3c71UA4frk/JU05x6HN1DUhOqJb1dOl7nnXAAS8RDrEHLyMICKQrfWNcB9W4dQfW27t9hPX95FAHe8CGsWhTRh60it2p+A5yGsDGdK8Pad178gaqOl7IdcIvNsX/wbzjffVv7xMFNip9bobh9gwgdVkN7mYWzZziIKEhBHc3ikMcYpTOCHbAAS8PXkUNYIjuGFOEIRB+i+oNVm9/tpCPwVSydTx+NPoJ3DTJa/4ao6nqqmmomE6PzrS4Wl1W04ptFEkKCoNBYEjJo6AsCnH05J7aawDZgqRFEUIYCi2YWREqo7inlJJ77gfgJHtSmNy7RLMunwEIIQiliW1KlusqmDuBlBIZVk1TlLPJZLKIsSgKT+22UX+0b2PVAb3HuyiKuLzKXoqUmmlVkU1RFBBPKTGlAGRqzly805hScnc6Rboa+6KyUVHOXURE1d3cvSv33z83M86Og45cwSSjeZviG289XDUxlLPWMZ/PJ5OJpfYpn4xnw3Xv/XlVjevGue4z96LG/+zxfM/9+c3z5cBBYHkB+DztAMOzsuBPkT4T1t03vL5ODBwO+yTrLc1gZObuDCnjWMmtp+9iV5/YnfMNZ579/O60t85vzWS8rl1wBOzoAcPt/VPEICKBot2YEEfPJJzPlit+wAFfFLyKGsALATdTmbYE2M/82SScIiGEQkSSmxPmnuhKySUuLcHFk1mO8ckUfS+5HCs37uuGYr0nt6OpJLs4o/7aYUYD3cwx9WN6PbbD9BhSAXw0yEbmQLZgARgyRUeEuKfRvt72gQH6rhMiM4BN806GmUkRIBQX976c6mhDdhmSO6hFKCsjzdEVQfKcp7Yd8Xmo7X/AFxwHBvCpsMsG/DlV1BtG3j3ZDy1ALi4sIfc47EIOB/sGnOgr5MBo42aHGIX/DxawQRYeqwvSd5jxHNy5pua7btiBS2AguNgWnwGAUDD5vjyA4WD80zfjOIcnppR0VAXBzFw6mk7r5H3p9ZjcBnLoGoZRaFCO8e9E9+t9EmOmF8qqCBWoZnAVz57kTUc14eL2C1Da83OSaQ74OeGl/4D+HDEQqeukxc/uubmDiKoWRSEMXQD7mkgNhRN8bNPYotqDb3O4fYtYD4/jiGLu0uJBmt4lFuxJ8NawW1T+hp3kJrYmv6UBjFc3flDeK+kxcIWtJ25NYzz/4a/ulBBCVebipvl82sxqloPgf8BLgoMG8AnBXdn/hcpK17GT5KJklvFVVctCVWNryj4hd6CSOUFAZGQz6UIh0dvEu6rIW6H9+4j1+Fd2QZPrkz39XWeZ+ebtZGeeuS4P4OYdGPOAXPXazIAumtM3nPkb9+7agtCnL6wvGOh+1gkoIpJGTHEY0OBOFkVVFBWplpyl/mJT++ve1Ocm7hzwmeLAAD45uEPL+OJMQDfAmG3kKuwEW3eHCt361K6RiYMiufuUGc2EQ5OWbaCjd2IdsXYb+Uh9pGRkExBJs0Gx4MADMKIOW5J7j06gdh/Vwd82AUnvdAD7VQ337xX5x8ar8YCdgWt8ZR/pj2tUlr28Z7hUgoaiaAGD62fA+w844HPDwQQ0JOyPt+K6bdm5xknSOSrsfnOcWo4T73+Kw5/vFQi4bh9oSoo4keAKklRQwQAXutDpEFl7Ss3MB0NNppi5sg0ggJLsfLzOvqlAxq64R+Y159IR4u50wJM4hCCQ4E5JFKe4dM0gfbN05z7dYoN/OJGz3rp/QqALt3dD73oVmA+F/rco+A6b2zBY7TC/7tbcPiwXFpXO1Sx0gWuEulSumntMipsQ4oMWQIMYBF2NoAMO+ELjldUA8ld0y2qcjQOJJNBFiOfCAA53JAAOdTho0RLQ5b2ir+kO9L0YbdwmIFfmAXp6mWlLjrZxTx0P2HRD2qY1o/sJMFkVdBnbZWwnk2mYTFxVJKRkBRgAti0UGtRhyRJDLdI1viKddA0MQYUhwQETuBLKro0XqQKKZCWgzycjo2XGky0hudoZHaQUbkmAUmhwWJsyMaSyDA04j3jj9E7TRgllWq4EAlrXW6vb2ZxQ0EnrHPy0pINlXV2tlrMioNA2pkKCpVSWlXsy87aNUCnLUsFAiruqUtXdm6bR0DX2Silp2e2siFBCdgA4YU4kUCK7bgdwTzEmFW2jmZuQCiWDG6JjYfrw4Rsop818WQQhYgAdTphRxIdXTYPAcV0xuC3mt2u8+pzxspt6PpkSNhYIXviUXgq8sgxgQCfIj5iBAOmaK/tPiY+v6c6PY8Az6d9vHFgrAb497A52v37CznBB0nLMTVAIxUgHzSmZvaTsKd6Sb7spZDOIuwvhaajf4Lm4va4/FdcRpv58H48EOhlykYfcd4WS4MnVaFko9pwjhq70/t7N2V2v59GEA0MF2L+vfiTr6C7JlJLIRnWjp5poyOHtr2tdwCUTdnbLhDvhilAYi+TZEOeEjSUJ6/QfEC8H3TzgFcdBS33BuM6s8WmG2jBJQ929E2DdoRKKYtc+jp5GD6LNmBoO5Q0G8Scn+u7a1scDDqakvYR7K65mmAA32+ruWdHTkr/ymFuhRFuG/uFxMca8kHHMz97xM5RrVjFer21qh13EFLwsy63lHBwAB7y8OGgAnwm4EyO062986gj7D4hcDRQi0UxEyrJciEAMKXfOiubZfr0ue8ARK+ppfBepP/CDHB7j69oHa/i+MhhbCxyT0Wzwz7H53UnvBslWpLFi4aNoTowo+/hn9nVv7c8Wyc7HuTiEqu7lSfv3eRT35GvPcD+ZnCTgbm4OqaoqVxDauyefHV52E80BX0wcNIAXj4FsjanYpxlq62AQb81MtCjrCalOHYI7x97NsUKw/bce1mN82fDQ/OsgSm/dvnX9FlEepoodLrJLl6/bsTEpH8a5bj7jeNAt0f65MDxlmHw+X9f1UEJuzLcOOOBlxIEBvGDsEq9PPM5e6s9cqFmCUM0gIlVVQWUImDHQnUOh5b1UcpC7B1PSYCna4g3Dmesk7uuqig5/yjducYibOcHuqneNOc9F2W+4cndn2OUKwElRhQrI3N0LwrKqpG+bs/uCPjvs8u/dN3XAAc+LgwnoxWNXMOSnyA/YojKkmrUkSWktUkXLYl+YPDCiud7XfmAX6zLYhG6yjYzFfF7jSjWzzmG6QZZGAfj9U/rbO9d09jwP5qD1AQkHKXBS1l6EG6j/mBTuagY302Yzy471nR3v2A5EHHR4Dq3NPoAD8T3gFwMHDeCzwouVCofRFEQX3E93d6GoWhb/IZZpPdwIugDQHZsMdlSK8VP2agDjOeyV9/dSwy2p/4ZFbU1mdF6AjXie656yO8iWXL93ArsjDA8yAEKoUAXSNeEBkL0LW9t4wAEvKV5FDYAjWpZNH0Pq/641wPdGhG5/+ccRoDddv00xut+fYgDZeJyDZIzRaQxKKDScnN56/O57dIMZ3Gi5RS8ASSmRpGoIQbXIAnJKiX0dBZJmnlKiCNWqsvSRyX5gCU3ToPfHdhPp7DxRhEzWtq2l2NmUzEgWRXG+WN46vdW2bf51Pl8qtZf49+7kmgSLiAvMzeFmNpvN3m2aWVVZbDotwzwlD6FrbWBmTdNIWQ5RQMg+YZUQQg7wTCkBLtqNTyFlXXN0/OrNrFksylo8QqupO+bL5emDO8fHxyszgCL93lLQldzAZ9cQ5jpm87yKyPOqLS+Kyb04hek513vjc32z7Ot1au4vMF5FBvASYZs4OgAo6BQXwi3H90hQCC1noLqAnitiwtxoPZU30gbqvI4G6p7D4TJQfOSwvU7wx4hJjM/3w24qGb5nObj+K7ero2w9xcyBrlV9F9X6tIjPbrRNdwK7bLf1itDlMdCFXdpF7l0pzL6WAw74hcGBAXxxsUWCM7pmVZIr2DsgqkVVTSDqZgkUQnvlhmTqzeIpJVIBEEJS2JFOERkzAO8jh/bOBCNOsGHhGTGJTq9iV/Cn9zPnQmocBLixIeVmsWtkARpsOzBz9m3bh7SGm2NtO+KvKn1Q6cCsxByAwZiDPs1zaQyS5p1ULyJFUTzlnR1wwEuFAwP4gmKX+mf6R2pOvgVhECM0aFFXWgSm2F8m7p6Sk5Z6R2ivBHQaAMXNDL0FbMPwMiK12EkEy9g6uedPvUy9zlnr8gA49vfuHmz8JNBVhVjrGb39x1S3Y/zHCxlPxt0pg/Qv6ymN5jxc3rUGkMA8YA4rFWgRqqp6Ee/2gAO+KDgwgC809rOBwV5pbmYqUlZVURSpbRwQEQHNY869Gv3oSWFfsHPkAlk/QkR8M5AmC9eD6R8bdp6nz3/wmmZ66skBGUwu44PRSpmrgQKeOcY4nyvbf0QBbJznTrDQeMJjV/INE14bxQAIqeKeEhygqpb1gQEc8AuFQxTQFxRjUjU6UAyCeW75606yqCstOwcvVaCdhOvug1uSO8Bm2hRGIj9Gpp7rMGYD44vHlHoQujveQ2bnM/axtL07sDtnjPSPveNsjbZhqtrKFPP9T3duTKBjm0HLsrx5Tw444OXCQQP4omODDfSifD6VZWGqaghFUSQVF4pQwJTGhG8tKYsI+5ZYmQqOibiZxRihwfvUX272w8Ieuu9bOQfooqo2AvN7E5D4Ndb/MRXeOh5MQANfceSy1jJMe8hHu04DGO5F7x0Z1qWAI/+1e5wPdSBEjMhuANWuDcABB/zC4MAAXg6M6VpvqM72mc7OvmHHz01d+sAbbsqzG4LtpvjPLlCyi/UcS8fX1cvNAwyTG8vg7p7TzobBSQ41dq7TMPZS8N3zQ/kKmtlIrufmxWMG4/2WEZb538Ccxj+3VtE9rjcx7Z3bAQe8pPj/AeiFZ6o3wWvZAAAAAElFTkSuQmCC\n" + }, + "metadata": {}, + "execution_count": 13 + } + ], + "source": [ + "from PIL import Image\n", + "\n", + "image = saffal_dataset['images'][0]\n", + "image" + ] }, { "cell_type": "code", - "source": [ - "model_repo_name = \"wiusdy/blip_pretrained_saffal_fashion_finetuning\"\n", - "model.push_to_hub(model_repo_name)" - ], + "execution_count": 14, "metadata": { - "id": "eZ6_yM02aKoO" + "colab": { + "base_uri": "https://localhost:8080/", + "height": 529 + }, + "id": "x0jzKEAZ9T4b", + "outputId": "095f55e6-1f15-4d61-a0fa-57a548c95685" }, - "execution_count": null, - "outputs": [] + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAEAAElEQVR4nOz917NuSZYfhi2Tmdt95phrq6qrq3u6p8fADDBwo4GAISiRVChCQSpCBm9605MeFKE/gs/SgyIohYIRAAOgSBEgAYIERiABDICZ0WBcY0y76rLXHvPZ7TJzraWH79Sd09fV9XXvqfrNdMV399k7fa61crnEDz74AC4KEHH3w8zue/LQN3evPeqdZ679OUt+2rY9bS2I+Pwdv1eCGSsokoFmEkVAIUpqqVsN65O7H/7gH/1//s6n73/fM6IxETfTgolNdBiSK+po0MbYjmmMycyK4Ouq7Ibh+HQxxKyqlhMCqIGJIYBD9N5XZeFYEFENyrIsva8KV3ouA8/rWR/zB598NJ2U3/r6W3VZbrtxTODr2S/+jb/xs7/014vpJRDySP3Y+6YKUBAT8W5MaDdCAAigzzw4FxX3ttUX2IDzu+OFFPjQ0s4/v/ff86/t/omIzPxCWvJFAd90BvAoKvZ4GveyGcBTvX++GfctcUS8R69fYI3nK3o23GukiKio9z6LKAgCSIp5HIfFrd/4tX/2z/7JP0zbJcjIgPP5vKqq+aQWsb4bYhIj1yY5Xq03fdcOyVSYcdJMiiKMSZbrddt2OSdH7LwHA8tiqgCKhlVwk2nD7Id+GPpxUlfz+Ww+m9RBmrquiurmjZvbdnvt+tVmUiDYMBhU5Z/+pb/+V//9/xCLPebCeWg3y7KaeR+IiIj+RG4wNHy5xO5BYeX1xxfe1K8YwAuH+6Ib8LLwUOr2oJAOT0MKn1N2fjw3uu/3Q9nDC6z0SfCYg9TZdjBFyASYoyQwdJzGbWl5dfeTv/+3/5M//O7vaYpxaMvCzw8O9/b2AEyiZFFTA6PNtruzWLYxDVm6GM00eF+I7jWTQq0bxq7tc7JBMlF2DoP35BCNmCmLLJbL6WQynU3Lsmzb4Ucf3kKyt6/O3rq8fzjVa1evrLv5nZOTquXLBzPNeTxZ/8Y//geg9Nf+V39zm23u60nVLLbb+XxPzRwiIZqZqSE+fNweSndeyAi/EXiqnj5GannmXj+4O+Bhq/Qx5T9+Bh/z4ZNrF94sXNgTwOe+/Awi8EtiAC/128eckJ65TDNTVUAkREY14yQ2iozj1kt34/u///f+9n9656MfjuNoqvP53mw6YXYq4onLUIwpbbbdth+WbXe67db9mAwMAQHm8/n+3tw51/dD3/WIRETjOPb9GOOAYMzEAIDmPRXe5XHcm8/29/YQuevH0+V6edI1JX/rvcuXD/fqphmG8eT4JI7j5cuXUfMwRKtmf/0//N/+lf/Z/xK4bMpqFOmHoalrIvLOIwCAIQAgPbTjTzXITziYz/zt64xX06/ztTzDoeq+Nx88EDz0KHD+v8692TL0m93658HFYODPhufZnPcOv0SEAAhOEPvcxb4tLX76ve/+Z//P/9vRjQ8kxyJU0/0DR6EfchGoLmsTPd20Q4wxywiQmc159ApZDKwsy/l8L+V8+/bdlJJkBYCyCN77pi4nTdm3XYqjAjCBCGUyH8LYdYsc59PZrCyrS3tNOT0+Wf7xj2/3Sb7zzXJWhebt67duH986Xn7t2rVLk3D76PY//wd/d3/efOsXfjmHpqkLU00phRBExDEDfL4YCM+tQ/sKLwT3TcFuYROR6hOZcB56HHnUGQUR7yv2AiyALy8DeFp8gZP9wqt+nmP47kNmNjNAzGLd2PXtorT04R/93t/6v/9fT49uOAdhMg0uIDIg1WUlYst1CwCKIOSj6cl6245x249RVcwcc1GUSXLfdmfqJVAz6/uhbTtALLyvy6IqC5WcxpSSGTp0iKSlrxgYsgbES/tF01zZtnG1Ht7/0Y0/87M/NZkU5JhPNrfuHB3u7+3Ppsv16T/6z//W39y7fOUbBdG0LMIYI6gZqBEhou0OAZ83hs82gA8O5oXE+TX2UI3Ny8OONz9hRU+1F55n47yeuFAqoPNC2aN0uM+wbx8qZTymlsc8f/JanuHb+5bmQxX3z1kRAIjIPZNpFmn7HmUI2v3Tf/Bf/g//8O/16yWYEbPzoWlqRy4nGYckaqEs2fv1tt+07aZt+5ySmgEMMRFRURQHB/uItO3adrsFNQAzMDIEMFPL2RiBieoyVFWFin3XIoJnYIJZXU2bxjv2HhR8FOyHJDkWDq5cmn3t7et9P2633WazAVP2vI356ns//b//P/wfp29/s24miGRAZsBM7BjNAP/EuPfyhP3HW1ke+vzZqnjFJPjZ8JwHU3iC4XpoFefNgY96+KAp+J4k9Mxtfh3wEEXnm4sn2S3PsMgeJKz38LRFvflABERAM0spbbdb8lB5/LV/9N/86t/7f4/tEtB8UZbltAxV7NPydDn0vQ+umU+y6c07t4+OT7dtN6Y8jDGlzMyOGM0I0Ttf13Vd1c77rCIipiaaRRUZy9q7whnCetudLhaah6tX9vf2Kh/YF74bu7bfsKeCQwHira9KU4Ze8XjRffLxbc7x0ry6fDgHxmxYlZOPfvDHv/r3/07qt127TSkhAiHlLKpqr2pmv8QL6X68Grb0nEP92vLOZ8bFVAE9RjC/eFMIr2hdCgB9xgAgxtgPnXPU2PZX/+F/+Y//wX+uqUODwCE458i6cUTDUDToeATZnJ52m96hF9MxJwVlJkIYYwTEoqqLUAKzIfRDT0TBhxQTABIbmJllUyFi54FCkZKcbvtkeT4t92aVZVWiYRiOT45n8/l8OuORGMAhbdp+uem7YSSC6aSum/oSQtv2q826du4Pfuu396/+vX/vf/2/6SIG8rVzzhSyQuHuMwR8pfF/NXhmL88nn53HE4Hz3tgPun5ePAJyARnA45fC04ZWPZV+8AnffHl4aQsUATyAAqihJrWcY2AOjP/yV//7/+7v/Vebk6PSkfcFsxOVIQ5jNo++9GUc0ulmEc2KslqvtmPO6EiTeO9iFpFcltWkacAwj6ksgnNuu90iogHEmB2j944Q1FSzMCEx100hOack60WLk2I+Kc2zDUUWOj1d5Jj29/dNFYBmk4lzoxrcWaz6FPezFMyHsz1CXmy2wPgbv/ZP3/3WT/30n/+lPPYZwTnKKpyz45/YGq9+cl+U8ucJq3iUYvOV0bsv3Mb2II9/lCn4IvGAi6YCerFxIvfKvE8WeFHFPufxHx8APFar8DzVoTEaIqiA9HlUkMbjH/zmr/3Dv/ufdSdHASAwFyEY2JBTn3Iow3Q2zTkPbTutJ/PpbLnddJLY0zD0gJhVUsqO2TmnIoRopnEYTU1VY4xqZgZxtKGXnBGAEVnU+jHGnMqymM+n3nHfdv3QM9FsNqnrKoSw2WyOjo7iGEGVCfemEwIVoqwYY44xbzfboiibaeMLGtvFf/13/tbRBz90MvZjC54B0fQhuuDzT94sEnDfpD90hbwCxeZ9CvRHjeGLMn48qgGPn7t7L7xZU/zMuFAM4Dye7RR5j3+8yul/HY4Onwczk92gioAkLZz75Ed/8F//nf9He3KnYJtPmqau0WwYBkm5qZtZPRmHQVT3Lx/GnG/cvDmOY1EWKUciMtAUs5ohIQDklHKKcRxOTk5iHO2zKSBG8g6IY8xtF3MGdsEAV+t4shi6MZVNMZlPTAnNk1lw2RHt7e3VVbVcLtI4EKimcVaVeUwnJ4t2iBwK8n6MkQCaoqg8tce3/rv/4u/mzTKP/TAOQLwzctzr/AuXKl4NLoaB4QX24ryE9OTvP/j7UU/eRLzxDOCFLI7zYv5j5KOHfvX8C/SNoCxIWSGroWQLRNuT2//tf/W3T27+cD4rDi/tT+czYtd3XencwWx+ab5PWR256cHejZPjT+7cEdWmqigLIrngRWFH/ZkdmOWUY4zjOKaU+n4wNVP8bFQE0YiRmYdR+i4XoS6ratunOyebk3WXjMp6EtMocSiclaWPY4+m73393bIIse/K4DzD1b2DaVV/evPmDz/+yIowmU9L54PBrJ5Uzv3wu7/7D/6LvxNMhm2bU0agnQ3gvqm5J5xejM3/inF+3B4zhi91eM834PzzR7ljnRcK7yvqjdi2n4sLYgO4N233FHmPWV4vqq4X+OHntvblnYufBIhoJoAoYpbGAPG3f/Ofv/9Hvz+tPRkC4KYbhn6Yz/eauilCuW47Jp7Omw9u3Lp59xjMJnURHA9ZnPPdMIiaGBKSiIAZE4vmmNLOBcf0XrgZMAKiqAIYloVLSbtumM0mzru+GxarHON2mMar+3Xw3rKGwOh9HIflyenXv/5uTunOndvTyQSBPTWz/enNO7e/+4d/9HPf/vbebLY+Xbb9MK1r79If/s5vfOtnf+4XfvnfkRgzsGcH9hAZ8HMn4qnm6M2yK35u1568I0+ynh+kxc9T6eea8c//1R6WdOjek92UXQwh4I0/AZzHY7yqH//83l+fdlIf9A5+BrzKlfRUfbzXKVVRNQPuhs5hvPHD3/vXv/rfYBpyhhDKsR+J/Gy+n0Rn05mC9UNfz+d3Tk7v3D3yTLO6nDS1aiaGfhjVAJGDd8xMiIg4DsMwjlkki6qqmp7lY1ADMEIqfECAnKUsnJn0XetRp3WJLqw6OVn3n95dbPrki9oTNnXZVKWZfPDjHxfBv/vOOyrZsYWAMvbvvfPO/nT2o/ff32x7X1aAPMaxLKhy8hv/4z/uTo4gj6JJ1VT1K2H/qfCaj9XnOv98CXGhGMAXiGfgHE/FM16I8PUUpB/MfsIREglDyiI5Du3pP/snf//09keoWtfzNI7O+ZRku+3efffdJLJcry5duXrr5OijGzeJqA7F/nTOCqq67UcVcC6YWkx5R17jGA0UEMVMDcxgxwIYCRFMQcVSSkQIoDkn7zCn1K1ayePeQRVK146w3OiNo8WyXXtHZeFD4X1wzPjxxx8NQ3flymUXqCr9rK5tjO+99fbB/PCHP/5gM/R1MwG0MXWlh9NbH//Lf/pPTFLOUSSbmUj+k8wQ+Pns82nF/yd/+YvCC1FyPqrY5y/n8YFd99X4nIW/ccb/J8FXDOApcN+qvc9H+HmKuu9PcO68ef5Y8/xL8MES7muG2i4RggGaMQIRIBJCBkvDGrujf/Xf//3v/f7vFuwdURo6Kso+pnGM3/jmN9OYFqeL6XR/sWw/+vhIFarAVUnkJEtW4TyC82WMNo4ZFUBtGGIWTQIqhgC7LkqmFFGUmL1zHIIDMDQjJFMFheDIGLsujm07b4qqYCNrxT4+3d4+XWeR+aScNmHM45Blsd6u19v5fB6CryvvSUHiN95968rh4eJ0qZrqYsJuAkSzgv7tv/lnP/ij3/EAYmKmqrobiTOTwMNG7L7hfZ7ZuQB4GdziGdrwJM+/tFL/eVwQG8AOz6OZfbxS76F/epRB6Umqe3wt93jAfa16jL74SWq8j5fc97mZARgC0mf1q5EZgGmWFGNcn9699aN/+91/8+skSXKqmsb5Yrlp+368eu2aYzperw8vX1lu+w8++bTvu9mkrAs3n9ZdNwBh1/VFWSTEvh+R0TkvIiKKTKZqO69PAkQCtKIsQIWJHFPOUlXlOAwIAAamhuy8UzTRlAVxb1qnlFIa45huLVZEWPqDy3t7pa9u3j1uu9Z51hPd39ujgIS8WK2z6tUrh5u2u7NYz2ZzNleohcApjt/99X/xU9/+6cK/pchEKGpMCAZgZ4eABwfzCcf88dP9QvD6cKDnVNk/Zy1PWNGDs3nPOGEP3MzxVCW/KfjqBADwGs/oQ9f3c7b2/AnjvvJ3BSMgGaABGpiZqIjI0a1Pjj798KPvfXd991NMw2w69aE6XW37PjZ1M20mi+NFXdcx5U9v3lpt26byweF82qhkU1EFYOQi9MOgYN47QxQ1YkQwADAAVTAF5l2MsKUk7XYYhmyGOYv3Hs2YSNUIKRAVvEtIlNIwFM45ZDAcBI6Wq5PTVbvZHkybd69fmTTVpt2MQ2y3nagWRbm/Nx/HIcZhUldR+NPjhRp363EY46wu1zc/+PCPfwskqWY1ELWdMRgRvpIYv8IFw1cM4AxfnQcBAAABwcDMzrwwVSXltN6u1id3g6Uf/MHvkcS9+ZxDcfd0dbrukMLlK1fjGMuy8KE8OjldbrYh+GnlJ6UvmGQYnXPjmJz3Q4wx5VB4Q0w5ASIiwZ/ouwAUERAQxzh6T4YoAmZgJmDiHDIjE2URInMOHaOKmUnOsSxDUQRDzsZHi9Wm7TabVV34d65frUIApJjyOEYzq6pqf28+9FuV+PV3rmuS9bbjulm349APHtL7v/dbm+NbqFFVsoHaLjnQs/DdJ1eJ2Dk8Q0X3qnvmb19z3CekP+HLL68ZFwNfLgbwPPqT1wTPo2A9/+2D/m1nz9EMQAEMSc1iGttus10v5nX4N//6107u3DjYP+BQ3j1dn65aIzeZzmJMZuC8XyzXi9UGTKdVWRc8ayqTrGIpZSRgxzGO7JwPPudsCgiwU/4wISMxAgKYaHAIagAQvCemlLIjZiJCAlPnSUREJRS+KBwzqgiiiWbvXe2CZ2fOHW1WbRz6ofVgB83EJBPiOI5t2+acy7LYm81UUk32p957Z9Ou7m43GMp1N4459ycnH/7R78HYmSQwVVGzl31H5EPm4hlwwcjTebwQjdmjts/LUMe9EfhyMQB4snDwJwc+As9W1Atp0oPFPrRVD30CYIgAhEaooDGPw9Dmfmtje3Ljgw9/8IeXDvbIu0U73D1ZK9JsOg3em5mabtt+td4Ow+gR9idlxa4OQSQj4zBG78MwjGZWVSGnBKqqRgA7wRoB+czpB8yUUJ3DnIUQEYyI4pgYiREJkRCCd2agZj64qmRTiGNigjgOTeEdM3ufDUfJZprH4XA+a6oyxWGXeSKLEDGzCyGwxgLknbeunq6X2yEJ+tWm77f9J9/7/eWdj9lyTqOagCkgwgNKoBc4a/dm5JnLPB+n9qA96cnxgjr0cDx0HT6qAc/cqsd37WkLfPDllz1KrwxfLgaAXxo+/8ybeaf6BzA1Hfo+9h3l2C9Ofvjd32LpCXTbDbePFhmpKkIVSFUQwAy6fhxSGvr+cD6tyA7mU0YU1aS6YyeapS5KyVlFiGhncHDEBICqaEaEpoamiOA9gSmYIVoIDAaa1SF7IlR1bDmb5EwApffTyjsEy1KHMHbb4BkMilBC1uA8OxbNlw/26qoAVANLKeWcmV1TTwyyoBSO3716/eT4tOtjSna8Wm6OPvnxH/6+xkElqSTbKag+04x9sXF5j8GD1BNev3a+MmbzPHgoK/oC2/OS8OViAPB5/pdPK328kJPErorXwcuYiEAMAQhpGPp2uy4Yt4uTzfGdmx/90EEGs5PT5ZgyEs2mk0DmvYspDcOYRLp+mDRNFXwgC86nFM0gaXbBd/3ARMFxStkMzIwJiBABmFDVTMUxM4EZIJpjIAIRYQIEmzS1ZPHOMRGxMakjAkVUY6Iy+LpwIOKZXMCubwlJYmZgEw0hZBMD2d+bFd47xyq63W51dxNkVXAVCscHzeT69et37h6NQ2xT2iyOf/yDP7x940NHGOPu1rLdXcFf7BQ9C77wdfXMeKktv5AE/WnxpWMAj8J9x8MnXBxP8tp5QexVyj5PyVFo9/9GioCS4nJxRKxx6NqTmx/+0b+ycWvIq07WfSKww2nFiEhVP4zrbatE4zBQTvvTBjRVTWmMQ8piRugRCMzKqmi7nhgQjJEcoUM8Z1k1JgiOUY0UmKAIBCagBqKEWpasFus6BMeMxI6IlEk85tJb5bFwlFOui5IJhjgksGQ4pJzTSJA2mxWhTepQF65pypTSpu2MXRrzrCgmJRMMTYXXr185Xm5y9usR+qM7H/z2v7C0SoQpASq8IjvAG4gLQ0wf3DL4kxE5F0yLcHEYwKO0fufn71Ehgufn8iVJ4g9VIz545njaMh/VX3jsWef8Uv7s99k/CUlUVptVzrmpys3y+O6tj25+8pEZDmO6e3zCxCGE4L1IHuPYdl3dNIg49H1ZFmVw06aeTCZZNGeJMTFxSuJ9ULWcs0diRCZEIEJkAgLwTI6QET0zIYAZAwZiR0iAjKApESKoBse1Dx6pCj6wAwVm9t43VTWpSpREAJOqQTNTFZGYUj8M3rkQ3Ha7do6ZsPC+LIqc8nbbqsE4jE1dTZvagc2nTVPXkkVE+6776Id//P6//Tc1yTj2BoCgr/Omv49U3ff8qcr5XDxY/gsUax5a0Ysq/PHeVg/txQVwHnkULg4DeAwetXBfK7zAtj2KEDwWZ74/hJx1XK4X+3v7qe+Xdz85vvWRM9t0w7YbYkw55aauY4xglnMWMefC0PVgeulwLwSeTBom7vsoaggUitLUmDnn7AgLZodAoITGhIGJwRwgw2ecAIHUyLAsfF14UHWIKkIAJiZj2p/OmlCUjHXhArOKmppnnhS+8cxmHrF0TlNWEVMbY4wxoUnpfd92CIamdV0WRUhjpODJub7vHcG8qYKD/flUsoC57bZP7ebj7/5We+cjAh1zxs8G9TVfS68AX8ieeql1fS6zuZAzfnEYwDOL7Q+KS2/KTD9zl39S9j/PLQxUN5t1EYIj7hYntz76/uroZux6BV5vex8K7zwTMCITj2MkxznllNJ0OqnLUBW+KgoEMkMDdD7sPEQJkBAYCU0dAYJ5D84ZkXpCAjU10OwYmch7JjRU8YxMgGTMiGCFd0M3mGpTFbWj2rumqZxzCECIhaP9SRmISHVaVpUPfT+wc8Re1SZ1UxS+rgowk5zKopjPpjmNWbIBqFlKo0MrmfZn0227TQIZeei77ujmh3/wu5bjMIyfDddrrQh6gxbwq8cTbpnnPEK9QXjjGcCrn5snqfHVyEefq+F5qtoREQEl5zjGyXTabpaLo5tpu8pDL1naflAzBJpNpypalMUYYzuOznk1K0OxP5vOZ5P5rCHmlHYmU6rrhpkcseZkOTtGRGVGRgsOggNH4BwQASEAKGIuS2IyMEVUxOwdBMeIBqDMWFVhs17XRdEUofKOzKoQ0ABUg3PTpg6e6xAcgGcGgCTqvQ++OMszZ1aGUBR+7NumLq5eOdxuNmNOSFyVVeG5KUNwdLC/d3SyVOT1th3bzfGnH25O7yrklOWhKUMeJTA+SpXxRhxJnwRPmG7hxZ5uH1RAvagqHjWz956/6fP1IN74XEDnl+Dj+fbzTN6DRT0+d9DLwxOyn2cq2wys7TbeByLqt4txfbw+vpvGpEDLzVYViuB3CZxzzu0wIFFRBEIuqrqpq+B5R8a7PrJzZVGicxCjSdoFcTlH2ZQIPGDlOHiOmjWwiKWsSMCooXDjEAkxMIKjFK0IjmB3bQCWwaNKjH3tnZoRkZkh73xGsaomwJxijmMq67ofJecciqIqCx9czuLYmQEhBu/azfpwf78dujRGLlxV+MJx7joAmc+a1bZbbjaXZuV63RfHd48/+eFbs3nyBZf8+HX1qMF/kudvnLvO43nhU8XuPkO9j8hndT/On3TPv/OYkX+w/Ac/fOMm66F4408AXwguxtzfA+JueWuKY9e3zheSJA2bmx//cLNYqHGXlNkxu6IocopIFGMSMRcKIpIsRVE675CQCAHIgIiobio0A1NCINDgqS6CJygd7tXlflnOfaiZa+8Cc+W9RygdBYLKu8q5AFgSlEwF4aQoS+c0JTItnJNhmE0mwXEVfOHdfDol5Jh1iFJWVVH4sigkxaZpxCwOkZCdL8qycs7vcg15xwTatZvLB3sIMMS0avvpdFYUBZow2awpx6HNhtshtYvF6ac/SOvjnMadruw+2vFC1sMFW1Q7PIoov7zqnuSdJz8xXMhJOY8LxQAu0uH6xeLxA3KPhLVtC4hMPsW4XZ+eHt9JMY1J2iECADMF73POkvMwxKxWlFUIBRM5ZiZKKSJSHyP7oGrOsQ/Oe7+74LHwrgguMNchHE4ns7KclWXJLjB7ptI7j1gwFcyVD3UIhefS+6YIAbEuwqSqmrK0nOuiIMRxGPf39wvvqzIwUdM0BtiPI4A1TTOdNN77EEJOeRjGoR8BmUMBCI65LArJuSrL4JxJns/mOeVxTHePT0LwTBg8H+xNVfOQYszWbTfb45vroxux73LO8Obc4fU64BXvxIceSp65DY/Xsl4AXCgG8Hg81Zzdt2iexCh075OH/vVFrRh77jvIPmvefa57KDl3XR+qOUKW9mQ4PbaUkGDTbtTUEU6rUvKYJa+HfjuMCsbMMYs5jiZtP5oxkB+zjqqM7DmAoYqimSfcn1TTMgSk2tG8DqWDSVWVPnjAiefKY+nIATVl4VkLD6XjQK6pysI7j9AEP6sKz5wlNZPJYrMIng6n1V4VSo9FFVwgNZWxn0+auinqppKUJ810uW03MY0xOud9WUfRJELsUhYzAE1NcKQwDvl4tU1Ie/NZw+Q4FK5u2wELvx3adrE4+vD9vD3NeQQkACQTB4pIBozn4sOee16e9Pnrj1egOn/Okh/0B30ot7inRLowdP8e3ngbwFOtgM9V3D/5JnwF2/VRHOhBLcTTF4gP/FP7vmdm7x3KsF0vbnz80dANKeVt2yIHJgKEFDMQ5iGrWeEDIomImamIERmgKADAOA4OgZhVRXLyzrngZ02johvC4FwRPBCURaiKAJh2efYdoZmVIcR+9MxFKHZhweAMDLxz4zhOmibGMRQhS7k4Pf3G29fHOJLXjJiTOOc8qSHO9/Zc6DebrfMO0bZt6zw555umKaqq73vnGBXZURZSzdNJdft4wezHMV/Z3xvboUS3N5/euHM37c0LDuv15lK76ZZH9cFVKZLzfpcr285yWSsiwwMq76edo8csqmeY8deKWj1elL7vr0/Y8kdR6ics8Glrea3G80Xh4p8Ankcj9JKo+fMUsiuHiJ6vQLvny2gGgKZqbduWZeWITOJ2dXpydGd3Gcs4DCpSliUiioqopZydC8wuxdT1veRUhABgxG4YY8w5pdRMajOTLGgQmOuiaEJRMgXG+aSpvPOIDFYXofRuUpYF87yu6xAC4ayuSsfTunQEpee6LHahW01dB+8JMadcltV22xpRKAoi2JtOJnWNhtVk3vZRxKqinE0mZHC4vx9j3rbDyWK52myZPRE57wmRkZhczrGquK59HtNyuRmGONubeYb5rHHMp8uNK5oUc79dro8+zrHrh1ZVDfGzQbTP4gN+wtj4hUvub4Q69MW27an6+wzj8zqP5LPh4jOAe8AnsN0/+NfXfP+8CBgCpDiqqnPMDP12c/fmJ2Vg77jvB0RSVe85pphzHseogMQkWbtt17atIwLTMUYgGlPuuqEoyqqqd+PmnHPMgXneVAHVIezPJk1RBCYHNimKpgh1cHVwTfDTugyEl/bnDqD0zoFVnqdlwaaa4rSuPfO0mZgoE7MrFsv1pSuXi+BM8nw6UbUu5qKatN1QFEXwnomYfV3X/RDbPm7bfrneiMLQD0Q0jqNjb2YpD4eHe865oYuL5bqoyqr0jDCfT02pHbIoLu7eak9ujZsFSI4xKqIhnGelr0Dj8WXGM/OzJ/RVfcLPL9jkvvEqoEfhUWr6x7/8bGH0z78mHjzjn2/JfYv+GRQLu8Lv03XufhChqgzj6Jzz3qHpenF8dPPTpgiLZeqHwftCEc1sHKMCiCmRM4CUIiKrJbDZMHSOCcj1Q0xZZpNaVVSlKAoAwJyqwHVwEkJw7AjrwmPyBoieAcLOyd/MCnLsXCgKlcYx7c1naRwKz6n0fTfWdQUASLRarydNswVYrNuY5PDSpdVy7UO4fPnS3eWyFDW1o9PltSuXUhZVnc/32tt3+n4AwJiSI/KMWQbv3Bij5KRmRUGOMYpu2269Lqqy4JXuz6bbfrlpx8YX3WY7rE7a0zuTw2tqdc7ieeeGSrALY4CH+yY+1WQ9ZhJfyOdP27yXrfd4VD6GF1jFo1Spj2rGfZsFH5ao8cLYA75EJ4AnwTPQ1hdC/Z+h6qcqHB659M3MRERFQgjsXIzDdr0wid1mHceoCoaoZrtzgBrkLIgY45hzjGmIKYnIarls6toAN92QUnJEBAgARVE4JmZyRKV306YMjkxyCM45rsoQHAfHZRmmk0lZlk1Ve+c059l0qpon02aXd2hvb68sC1XZ398L3ldlSUzT6XTT9jdvn5hRVVdEMJ1NyqpEQhfK5bZrh1zP5mNKRLi3t2eA6812td5u2m7bDyln3VnUFdKY0ODwcF80ZcnbbiSiSV3NJrV33A1DUohRFscn3eoY8oBgZpBzNkMDQzhvBn6t8TySxBcLO4cvthm7H2/W6D0KXzGA+4E/idehGS+vzN12SikZgA8h55xSVM1p7HMcVETN1MyHEGMy3GVsgKwSYxTNosk7NwxdHPoQwnq9GWMyQ+cYEXf52EzVe1dXoQi+CM55Jybeu7osvfdlWTjH3jnv/WQyqarKOSemRVUiYgh+7/DAl8WlS5cOL12KMSICO5rMmhjHS5cuE4dtO262XSgCMrpAh4f77FgQwfmPb97OCmrQ9+10OkVkVVitNsMYN9vtZttmER+8iMZRu7abzRrErKqb7RDHfOnSQeFwf2+62qzXbZ8U225cHd3KfZtSRCIxE1EEsscO8uuG16p5r09L7uExyoPXsLXPia8YwOfj4s36eSDCOI67Ba6SEHGzXldlKTnFFAHJAJzzwzjmLDFGcs5MAUFVJYtzrus6NYsxnS6WKYtzIWeRnBmJiRDRMQOYWa6qYj6b5pzZuWZSI5pzzMSOHRE6ZmJy3ld1LTnP5vOuH4qizKJEtH+wX1WVqVZ1JSLOcVa9/vbXun7s+jgMowtedvZYgJiTC1U3xpt37hRlOcY4DsNk0njvcpaTk9MYc9+Pxyenojqd7Tn2Xdu3m/Wlywf9MKjC8ckpI1VlcXiwd+nSpZPFcox5s+n6zXq7XqJpjtmRA7AsYg9T/sAXdKD8Co/Ba8X8XgdcEAaAD+AJX3uS1fBQDeDzLKOXtAQf07VH1YifGcYdMzObAsR+fXyXTFerdTbwPliSkllEiEgUzFAUmL0BmYEj6IZIRXOyWmy2m826F6VxjAYqOZtkNPXsQExE6rq6dmkPFMcEoSmKAh1Y6cvArgzewLKI8845ZwbIQSkkxbKZtH2/SxKXcq7KhskXoV4tl9ffuuJKNken636zSd0mlqHcrrcq5p1nFxbLzWrTqbnFYsGEoShCVfcxL9btqu2HKHePF+CobBxiHtr20t5l592oMUk+Wq/rZso5XTmYZ8ZPF8uYbXHn1vGt9y2uZIyoDGxK2URfiHbiC9dvPIjzS+i+H18gnnYLP7SEJ3lyT/CHc3r/12oonhMXhAG8Sryes/6srTpnfEYExLbdxhhBreu67WZLzIDmnDMzJCLceTyqaFYV7zmlNAyj93692bRdl2LMKY7jGGPaVUDIhOScI2JEnDQNE202G+e8cw4RmGmnLCKAFFNKEmMqyur0dBlTPl2uzLAbx3boi7JKOceU6roex1FFck7Xrl6LY2IXTk4X264HQO/9drMdxxGJReHu0YkC9uO4WK7MbNLURQjDMHT92PbjyenydLGsm4kZMDt2fPnypTj2arbdtk1Tl4WvyjCdTe+enK62fbvdnty+NWw3ZpI0I2BgVgP4zAjwulHw58d5D9fzy+wVi9KPJ/fP2ZjzhP6huBd8c/6dCzDXF4QBvIai05uCXSQXnNEv67otEeSckKgfeiQsilIkM7NITimpKgKCmqkwUZJsakywXK37vjfNOY1jHHY5onPORAi7rG1qOWlTVVVVdF2bYi6rih0Rak4pxUiEiLhaLOOYhjEm1cV628d0slrFpOttl9U4hOOTE3Iuq4jqcrk62Nuvq6YoyiGmxWp9+86dpqnVbNu1ACCmm2E4XW3QheVm03Z9XVf7+3tENIxpsWlj1tt3jvphLMpyjKNqfuvaNTANRWjbrt1uZ01dMM5nsyh6tG433bC8e7Q9OTZMUROqkiGzUz27JeCLnc2XASIi+glCcSG7CU/mI3TBcBEYwHMqZL7kUD0LK1OVFMeh771zbdeZWZYcQgghDEMPYCq6e213axchgEk/ROdcHMe+H/th8ASWY9e1bdumlFJKOSYAU4OURUQZ4WA+G4d+td5WVROCd44ILcfRsnii4LxkWSwWTdPEmFab7WbbR5HT1Xq52WaRru8Wy6ULoRvH5XLd9YP3IcbcTKebrltvtuvNdm9vr++7buiBHIfi7mKZDJLaar08PT2dTCb1ZALkxqibtttsu5PTpfOhH4blYqGS59NJ349V3dy9cyc4ZjTHTK64e7rpo2xOFqe3Psm5F8hpTKR4j/RfPEpxr0cPdu2ZI9LfOOC5+b1gU/zGM4CnWn9PO3kP1ao/7SJ48Oh6/kD9hO1/aEsefyh+qhaaGSIQYYxjCJ4QU5aYsogyk2TZKYiYWU0REUyDc865LOqYc0xjTCKGYDkNw9hvt9uUEgKkFIloF3M7pmyqs2kTvDs5PiViH7iufV0WjnDsO5XsHRIoqvVdXxSh67rVerPabLPZers9Xa0U8eT0FBDLqt5s209u3MyiKacQAgAsN9uj45Ou7xBxGPosWdQMab3t2Icx5dPl8nS5qCdTch6J+xSTyOliLWpEvFlv+q7d35uvNhsxWG+2wbvZpHaEdV13w3i6bvuuW5/c7bcLtZyzmJqhIV0ozcA9PJW++0UtyGfGU22NB1/4EsqRbzwDeHJcVBntmXHPbolIRCSiZqaSCbEoSzVTAREBQBERsyyyuxMGkQDAOSZEMQjBj3EcYlZDBNUcU04xxSxJVU0ETYuiiCmGUBBAWfi6rtq2H8c4nTZF4Kap6roEk9h1BXPluXSEOVkcwUwkbzftOMSuH2OSfhyzyu3bd8RsTOnW3bun6xUS55RmTbPZtuttt1pvfPCEOMZRRBRg23YxCbowpLzatlm0qivnPCLHnMeU1pvtdDofx7HbtlVRMDMgcQj9OM7n0/35pCkDE948Ol1v2+Xx3X61sDgiQsoZDOBh6+oCL7bz8hB8aUjngwzjC2zMC8GXiAG8Dvhi5aP7WrL7sbPNsuOUY8opBE9EZmqqzvM4jmbqHBMSGBoAEQEYETFTSill9c4Nw5gzABKAIQIiioqZgSkQtO3WTLdtm7MwEqhMJg0Rrdfbpqkmk2o6aZq6bOoyOMpD7xEdaCCtPOcU4zjEOI7jCAAxppx1GKMZ3Lp9xxflpus/vXlzvV7lOAamupkuluuhH0xNJJvqmBIY5JRTyuyKKLDuhm3XF0UxmdbOuSGOSfJyuRbVsqyGYWDivb2DxXLVTGar9RYNvMPLh3vzadMn2w79enm6vnt3xzNHSWaCP+knfoFJ/4N4HdbzK8aF6fLFZwAPiipfdIteC3w2GgSAqmamCDgMAyGWZUBAQHTO5ZwBwDlHzIagajtrsHOOiHbJ8RGxH6MAsON7YfQ5JzTwjj3zZrMdxqEsy/VqxUSqcrC/55zfblvvfFVXzaSeTCfT6WQyqauyyOMYiEp2dRGaqsw5xThutpuYkqpKzo7dOEZit+07V/jj08Xd46PtZiMpFUUByKeL1TAOznvJEuM4xtGxa7uOnCPn+iGuN5u23UpOly5fKsuq7/uksllvmqbJMWnOly4drlbrfoiq2nbbgnlal3VVFGV1dLrabDfdekUKMSVEjHE8P7ZfKh5w4TfUxe7gBWcAj1LwPVT394TawycR4V+IMvRRhTyzy/n50s6d3IGITAEJU0qEYZAMBCBG7MkhgQGQ5JzEwMgTE1oZyLOPSpVjIYoKDBBIk0oCQ1EyJNAJwNwVveTTtq9DqXFo+7YIYdZUl+az5eli241VM3OFm+/NDg5mhwezyaScThtHVDm3F8K1SdM4FhAh6McR1BgsOEo5jt2W0Ryimp2sNkeb9XG7TqmfzetV298+WgIGX5Rg1nZtn8aUcze0VREcQtd2Y5QxamzH61evuSKstu2mG+OQQ3DjuJ6UMJ/Wm26MRmPfTxjnZdE0VR14seqXi+PV0a2+XbMTTQkA1fS8hPGyqcYLOUe+1MPoo/bUqxmfJ2nJfS88YWlfpYJ4Y3AxZuhBPBVredSKP/+Oc46ZJYtkRXaA1PU9EYmqc373ThZRU+89AiKRGQKgKhSOEM1AgydE0M98pXc6ohB8WQZC3G42puacWyyWzDSdNO+997VJU4394IMrinI2n+8fHl6+dvXy1StXr105vHQQCu+Y5pP6yv7exPmJDx4MVVIcwWx/vpdi3K42KlpXdcoyDGPbdiLimJu6Wpy2d+7eLXzh2DmiIY7O+/V6q6pFUSDztu+TaTvEYYh7szmZdd123W6y5GEYHMG777ydczpdrgxZ1IL3jEZIKcvJYnN6fOf47qfe+6wCarq7CeGBkb94fiPPj1fPA54B9zXvNW/tM+MiM4A3Cy9VHHsQ94K6PvuNOWdEdD6wDyJCxCIZwJjZwOiztqmp7VzegXKWoijAzECZwNR2pH/XGcfsg3eequBB86Zdz+ezvuvHofcOr1453N+fDWPrvZ/P9kJV17PZ/PBg/9LhpWtX3v3me9e/dr2Z19O6PJg2bx0eNM7V7BnQEWvORSj25/tg1rUdAjpmEVPRNCYVbZqqKGi52G5Wm0kzUbEhpU3XlWXZth2RI2YxW27XEWzbDoFcU1Zd1623G2Q3qaee4HB/z3seU1qs227IdVVNykBgoS6PT9v14rg7vQ1Zs2YzyFl2qUEvmIT4JQSe0xPc9/wVb9JXgIucDvoVK/3xRWSIfSGFPDnOD5GZGsAwphAK2vEEREJQkZwyIQEAEgGgKBiSGoBZ8D6nxAa7MhDP7khxzhXOEQES7zV123Wrzerb3/iaam7bVnKczpp33r66WJ3mlKvZHMHUtCBXTqbjOBBQNa33Duandxd2ciqAZjQmEbCYY8wJurauS2JarFZD34lqWRYENPS9Kwoins0ny9PNyelpUV3f29u7szjp+r6pykCcUvLOLxcLMUtZ9+u6ZL5y+fKd47urzXpvNpmVlakWAQ739+4cnR6frptmEggnpWeEUJbjOt++eXNx8yPte19Pc8ohOFU9HzD1lc3pqXB+oB66BT5bpV8dp14kLvIJ4DHs+lHR7S+kxnsH/889/j9GI/kkrXqUcvM8HtOSM2n9vD0AAJ2fzOYpq5qZwZmwvxP4iZgYd4Gh6HIWU/COc047NRARIRICIJJzXHgXvAueZ3UdmMFgvdl+/evvxXFYr5Ypj3t70+lsst1uFZBCcGUV6rqYTmYHh9Vseunq5YPLlw6vXtm/dLmZTIg5SgZC54P3PsY+jV3weDCfNIX3CKzSlGXtfR56NGnq4uBggoR37951zk0nE0fUbdsdFSlCmE0aNE05t/3QjXHbDVevXisK3w9jzDKOAyHMJ02MY1I7XW+GcZyUofBEYL5sVpvN8a1PFnc+DY6yJDMTkYcSqfuOBU+LR62W5yeFL1U99ahVd35BPrSb8MAovaTWPljpg019kg/faFzYE8BX2OGxi/VPVLFmJqJlVSIa+N4ARYQQveOqrIYxoZFjNgQwc8GJCqoj5uBcDwZgbpdPjnmXZN8R1mURCqci06YahgEZb926/c7b1y9fubzZbg5j9MHP5rOk5oPnZqIIxDzGRADkHEgOMRoboqmIqqgpmoXgGLV0AACzWV0W1Tjui2jfD957v7f3ye0b3dgxVNOqIJXttl8eH+9d2gumfddvNuvZdDr07bQqJY6bmGLObUy6WCPh9cvXtpuVgvTjUOY0n1RVEboxr7t+Nq2bpvSMbBbBovB2tTr69P3L733b8W5A6EHS/yB1+5LgUb3Gi3KVysXAhWIA9wkLj99458WoF75F36A9vzsHpKQikrMguapqDDHlTIRm6phVFcycc5IVAIhYYmZj5uAcOWZmNDNCcMymSVXKqjjYmzGpMtSuzlm7cSiYb9z89Fvffne75nGMs/leOa23w7jt2/29fSIStaLyOSVUTikjEYgSaOHdpC6B0cA80qSZT6bl/v5+WdZ1WeYkp6fLlNIwDIx05WD+b7///SEnBrg0nzYhrLfbYb2q68YTjDGNQ+edJ8mXppO03GyHUYFpPj1drJorB3uz6bZrm2a/69r5XnWwN198csuXxWbbhnk1bcptGzd93420WiwWdz6SoffN/hDTLmXeeWF/ZxX4Qqf3dcTrvzvwYZfoXUhcKAbwovC5zOOZi4XXL1boniIIEXe236KsiUjVdtk6RUVUdiaBGGNZBDNVM89UFoEQEICQxAwR2TlNogBNXc4mU4MokksKe/P55nZ7cPlKytthGK5cuzb0YxQJhZ/uzdiVSOSLUs1ilropJKU8jpK1Cq4KbtqUYxpD6eu64izvXL12cGWvrKpu20nK7INXW603lARAm7L8S7/wZ7/3/vvbba/jOG+qWVOtt5s89kVVISEBmohJJqLD+cyoPV613hWXruyvl+ur1w8EQQ1iikR25crhH/zgI3L9pOCccnAOTMsirNbbth1Wx7cXd+9c/dbh7m7gnLP3/jWZ2YuEJ9fPfIWnwhvPAB5KqZ+cfD8PoX/ab58npeL5l59z6d9jb/iZhQARDDTm6ILLORs3RdkImCSpjLKaAoAhGqmBGEAUExUWZDMVQiTY/R+DmamV3h/MpuCYtBCh0ayofR3YIB1e2tu27dW3rnNZgXdUNr4oyfndycI5zyXmmNgZFwGDr2aTg5ybws9npahVofAcfFGq6Ga9GccxxZxEu27ctP1226NgMcp8v/mF73z75q07p4tVFi3Lcnq4v+3HbYwemZkFMKVRiMGHa9NQgtw9XW0ODq7vNdvt6tKlt7xzaeyHbuvJv3398o8++Lh0dGlvPimwi5mLCiAvt/2w3SxvfO/g3W8wu5wH5tKMgZzp7sZ4Q0BAOH8seNrpe4wu5XmWwX14nenp4/f487QcH7go+76ZevAo8KjfbyjeeAbwMvD6H1GfE2Z2z/xLhKoKBioSQqFkgHRwcImdj0NOoIWhcz6JGICYGaIpGECSLKo5+1B4HmMcE2TRbgQTLIvjdoy3jh0CqRTBTepytjePMc6m15BhvWkPr1x1RcG+cKFE58VAzBw7JAbDrBLKcr63l4ObFtXYtXspjzGmLo5DWixXcYiGxEVZ1HXlCwij0GbIsj5Zbdqh79fvvH39W9/4+unearnaZJWcUhVCk3LbD/2YDMyQ2hidMgeYT6fCcufu7ev7X2uqZuy3dROYqG87V88O9mf6vh2fnF452Ducz4N3q66bNM3R8aLddqvTozS0VO2nlMqKzIwBBADA4BHU/ytX0a/wmuArBvDm4fmpxk4NpXoWu0REYAaGwTkk531RlM0YhdhnHYcxIrGKIJGYJFUmGsfRGzAzMSETO8aY1DRm9c4p8s3FdtWlyrkqkOt1HIdZVRTOjTFeu359SFENiD35wsiTC8Exe2eIYgZEzgcCQ1PMUboByanFnCSOeb3uupxKXxX1pN4/zC5ks2buwrwr9vb2L3fDemFja5Kr4N99+/rly/sxxrEbV5vNJOex9OttvxqiAPfZtttVh+xD6co653z79umlb30tsK4Wi73ZFMxMchH8pUvzxenieLFsquJgf3rn/Y9m0+lmjKeL1cnRnWF93NRzQFA1RDDVzzzJn3OiXh0ugDD7MnDhx+RLwQBekgLxvkJeT2nuUa26Z5AwNSLauXuqmfcBCduu64bBFyWmbDSCQYrZOYdAwzAG58EwOG7KEhE1S+mdOnaOTbSqwmzSADtQJQRTQIdjjAPa/GB/iDGrOudSSl6VEMl7YO+Cdz4YOUYyVUBAU0nJDLKqIRAxEY8xA4dmMm+74aNbd+98/8PTLi62bV2XDNmBHc5me6U7CFXdTOuyCmWYcgWIYLjerLerVdcN66or1h23Q8w5MW9bGTYtFGPwfry9rEL5za8dFCGoWDmtFttNTHbpYG+93rTDuNosp5O6cBDHCMAnp8t+u9qc3Jxcew8RYkxNHVSVmZBIzfBhE/GaL5WLQfVeiNb0wvPFN54BPMZg+5ht9rQ78L733+g1gT+Zn4DobIkTsaoFt8vooFkyipSeRXIIISdhdJ6pH0VAA7tZVV49mMeUBh0b7w6vHDpCz3z18iVCHGJS0cI5x+QcBcY6eOfCmPJ6s55MJruILS5LR+ACEzsgdj4YoJkqqABkMwUk78HMmy1PNyJWTecfHh//+PbtD2/eOWkjlNP/0//5//Kv/uWv/Zvf/I1vvPvO927eqCV/83CGqvO9vXo+Ywbn2RzPr+z322272mzW28liE45ORVMUaWOKKQ9dVsgFMn165AP+1DtXkoj3wVEnYxcYmXEYx34cq0l55XD/zvFKjLbtMLTbzfGtq2lgrsY4VlWDoIgIYApAP+mQ9jK8zu7TYr/Akt8IPJRGP60V8PFqukeV/0bTgR3eeAbwheDlbbNXuYHPrFsAoopnDotGTFly8MEAxxgns6YfBnYOkFPKnn1vklPem09+6t13Ls/qG7ePUtfNJs3lw/3Ku/l0WlfVOAzd0Mcxmu6yivoiOMekQEB4fLJUtaIsgJnLwlc1E5BzSEzsAEkkIzLsoo6RyHky6/tx7Ecfyo/v3l2Zfusv/KUb//rX6yp+94/f/0/+0//Xz3znZ976xk/9jf/g36sh/+t//I+2d28BX+F6EqbzovQhOAiBCPck9avVZrGqmkVRFoQS1fpo2yiWICumbL4b75xu6sBXrxysNpvpdLLetlntYD4/Ol0Oo1QTKIObTBqlNGZpN+u7n3z4tc1qsl9GADFhBDMFQAI2EzBDeokRl/iig95foMfBq8GLldMfz1HeiAF5clx8BvCSfDqfCl94Ax6Gn7jqj9mFosg5EbCCAjIAxVGYvEhvhoLQ9wO5YIRdO86bfDCfXNmfLE5Pc+WvXd4/2JsX3jO5rh/HIYoCcYia227sx6Vjmjf1pKp8wTmNcRgPD/eQuKx7Dq0PgXyDQEiMxIioasrRBe9CGcekGtv1pvBh1SYsiv/pr/w1nF/93o3bzWZLIcz3J97JweHsOz/z07w5cX/lLy4+/og0urqpDi7XTVOEgN6pZcmxaKbNbL9umqouEXLKNqbcxZgERcEcAuNyvTn2enjpoBvG+Wwynzb9yXI6qRerbT/Esu0YjQjEYNsPEtP6+HhcL6fzS8Q8xLEug5kRMgC+GmrxWi6wl4KXFLjzIC6MjP94XCgG8JwuoS8DT1j7i23k55a28wIFgJ0dePd+CKFtN6pQl5P9/cOhTzGrGSJw348GkEQQkqgpABEyYV2Fw/3ptC72ZjMAWyzXp6fLMUndTMqybOrm7euXFCmbbNbLTz/88Xq7uXJ4iACn3RoRkVxR10XdDF3PVQ5lTUgKQEi6yyfqAvhRAdquT2OK42iAP/Uz35lfuuT2r/21X/l3f/3X/vm7b1+rqqrtur/6y79y/cphzKtxbzLVa29du3r5619zk0lRVowOwBQl5xFkLELpHTGjWVaFbRzXwzhEG0UFhIgIqOvHDz/8+Kd/+r3jk+P5fFZt2lGUAA04pszMknMowuZ4sVyu9/e3R7duXn33WzllJTbwBmdJkRAAiF4HKeRi4DHC/lPFgT702wcDuZ+1mW8M3ngG8FL31T0v4Gf78Mlfftryn7sQRESRDAD3clgWIXjnkVBNEJyZH3K3ja05WG/7TGpqWZMiKJJDRI2mdml/P41xGMbbR+uPbh37ZtpMJ+yK43VrJ6u9devL+spb77z3s7/w7e/87Pd+/7dvf3p7ejgl55bt4HDtnS+bopp5hExMFDwaQhZGNleQIlVWzk26blpX1y9fjq5cmXG75XL5p957+7D8d3/0wx96537+l375rWvX17c/xdWq9FxevdJcuRzqpqwb9B6QALNTZCLTkJGBcM/7jDDE/NZqffe0XXfSGWhWMARyGWC52X788Y23rh3WVT2dTKL0aKKSU2Tvi5KBGIeyPm3j14bt+sb3+/xX0E+CGQoJA5KYnoX9vbl+n6+hOuhzfTpelEbowXL+xHXi9RiK58cbzwBeNt64HfvkuBeYtuMBzjkAS2ksuUx5NAAFbPuhLMpt2/mmQKQ4joNgzuqDZ4cI4JgGk3ZIx5vOzw8Goxs37hDZ/MrVT+8cdx/e3nTpf/c3v9Xe2XzyR7/7iz/zrens8KMP3i8LTg62/egW63reNHuzMmczIWZAVgMgMmIjrqtJNZ1Ni/LHbdeDNVXQpKHvuo8/TiJ7Rfmda1fqupk7Ovrw/XHoaewUbO/goJnPyqYix0gESIaICkgECMre+cLKPN3bO7zcXT5e7t1ahPXgs4mommZTBQpFuH3n7nzWrDfbS5euHJ9uLx/uLTbbJI6IELDvu6ap15vNMO6329XYt34+h5xyTt4F292Z8Nny+eoQ8PJw3q/hXpDjvb9eGGL9MvAVA3gc3lzB7XOxiwUzM1XdZYNAMud817XTKgCoDyydZIUoGrPlPqFhytAPygZVGTyTaAawbDCoYdUsN+PNk9PJfPqLf+kXJ5cO2l//zSbp0fff/+f/v9/46W987f0PP3nra+/UCO+++43TWzfGMTJRPYZuvU1DdEie2VQMANB2CUUhZ8+ePbvp/Mq3vpX7PndDSIMuTykh5LTNOYmm2bQbW0QMplQU073Ll65c9lXJ3gMiIiEiAAGZisDu+MPMzlf1dDqb7u3N96aTKqzcmAxMEaOqIbEPQfXWrbtVKImXZenrkY9SdM5nxBAK3YzEMI5xGPN6tRo2i+bges4oIs5MVP1X2+uV4Dzpf3lGggtpFXjjV+gXPtMPdQ94NYlkn6e08xLTvdZWZblcL52jGLuYkwAYUEyK7Ic+eu8EKGapCJu6KktPROTZ+zLbsN52N27dObh69Rf+/C/8zM98x09nH334Uddu8aff7uL66OTm9W+/99f/o//o6Pu//3v/5P/79cNLy26ZIYtK7EcdE2SxGA2cojAiISGj9wUjxqwJXZge+DAOttyutrHdNHXTFD4Ex0XBRcHBI3NRltV01sxnHDw6VkS0nbkDdykZwMwMiB1BQBUJpQ+hLENVFYUjh+AYRSEbJIUx5SsHh4uju6tNa0ihdIWHsnA5p6aumRlOVmAGSG0fu/X66MaH17/xMxlRzVSFiRDQ4Hnp0esjhTxtA14lrbzXtvu8nM8/f9pWXTBa/1C88QzgPjw//39wxTzJy/c9eWgzvvANfB7nzRtnrQWs6nq9WacUxzgiGiH3/YjEyJxFkVV2KRSQJ5OyKNg7Z0pFASoa++3XrxzM9pvr87KiHJrJz/+pX/jud3/36+99k73r+/Fv/Dv/8yvXvxb6408O99vt+vDKwbJdmRmoaBxz20k5QQxIjEQIYIBMrKDI7H0Z+6yqRXNw6e1qu1mLJnAuOBeqipzzRVU1dVk25BkIZZeEAYiJdsZYNSQAIhLJpmoASI6dFxEVqasyONr1TbIm0X7MTWk+hMl0ttm0oShEoyPcn88/uXlnOpmVZRkcD2l0jrthVEnHn35gqTcowUxEHDswezAY+MujC3oozX0ZCvSHbrTnYZwPbeTL7sUXggvFAO6lbfpC9tjrH+p5H87vTyJCtCIEdj7G6Bw5x8QYY2KnhB4ARDWpCiA511SFD0xMCjDGPjB8/dqlw0uXiCmkDrZLnM1+7lvvzuvyzu27DPbT3/jGn/rOd9pPPsrb7Td/6hvYdwm1ix0BIGJBziNZzphzBjFmZkYiZpQsSByC16qK4EyFqupgfz9rYnbsXSgCEnMo2HkkRhMgEjUA2vmVEiKqac4GgEimZmoqgmpmVhTlbDYLwe0cUC0ZAOYMHZgobDfbK5cvffzxJ5OUVbUqfFm4qiy22433e2XhUx+RaEyS4jisT1K/pbIWUfgsmgieeyW8EWvpNcRLHbeLQf3hgjGAHS4Mc36VsSdEhKDMrijqmEbvHTsGAEDIKTGBYxpzNkI1JOKiCI7RscsowdP1a5feIZYU1WwavDODo1u63b5TVF//+juBbFpS+uR9FqmNqrff7laLk9NjRvbOMfvgSgQyAwQTEQBlpjPFDRIRGYArAhDmnFVERbyv2bFzzN4hMzHv7l4xYgB0jggZEBCJmYBNLZsIgBEiEpqCqqiIc64sSwNQQiAyRVBApJREFQysmTSu8Mv1Zm9aBafseDKdLlZrRKir8mixLMI0Ztmu13G77taLurmes2TJzuAsH9y5STzzCvqS4fyW/ML35guhD/cO0F94d54TbzwDeGgc/DN4359foE/gR/9K43VfUo078+/ZeVlNTb3Hoihj3+2SmokIoEoWdETMY58ymgEjoXfERMTMbPP5VJXiGLdji4aLk9PlqiWVumimdTOpKi7cWJcDuygWfFDLfc4p5+CC866ZzLwLWaQOPgO44IjI0FQFiMoQdBerHNA5TwlBKEUwQVLTnAkAwQDJALKaK7xjh4YEjIiAiGiiBjszgIGpAQIawFkEnDdDMWXm3SsqhoTseL1p3748Wy6XTTM5Pj2ZNlVMUoTgPe2MCbPphJ3btl0TJinF9eL46PbNb7z9p3Zja2b2iuLAXiRe0un5NYykfZB83/fkQlp978NFvhP4ocBzeOjzJynhpbXufrzUxfcTexLRANTAB4cZ0Qdy5AzAWI2yabKUFVMGQ1TIAdWbzw6QqCiC8+wCT/ZmVVMWpDVISVQ7DKSoycySyJAjFy5MGldWRGSg3kFV+WY6VfbggiiNQ0Rkcg4QzIAAEQDNENChc+x8UXBZ+rpyFZMnIt4l3TFNZsp8dj8NkFdfiAvAHpERwDSbCmQlMcwGoqZmpgYSJZkBATEgmGW1bOo9b1M8bYe+j4XjMQ/rvovRQGxSuCrwtu+U3KRuVDSZCfih3R5/8iHFCADIKCbnLQAXQPa3c/ii2/JK8cZpd58cb/wJ4PWfj2dr4Svo1z2P6Z3Q55wz06IIyQfnHTOfvWOminkn0yogUlbLgo6DADIzIQMaO5aUs3OlDzmpYy4K5wtXVCW7wEXZNBN2QUw0J9XsmDSwc64oi6KsyqoJVU2IioCAqoZIZxn1iWjnUk8OAQiAWMCxZAXbqYnAEJkdIiEwAhF7ck5VTbKCAgAYmCqamWnKyVRMMxmYqpncOw+okaL2WfbIW6KuG1JV1mVR+GocYg+evRV1XRRhzDKOg9upygyGcQQoFsd3x2GLoUZEEUH3ui/O+/Blo+yPwQVQ7zwJ3ngG8LR4ZblEdnghFb3s1trZ3eVgBs57YkIkMEMwYlQAyWIcFNLu3seYddslM2LDENxnFwpYBiMyDN4Ug+eirIqy8qEKReV8hcRmBjlJHhwBEzr2u1qJKO8ovXciOWchJEJUMzAAJiI2YgNCRCI0yADKaGAEsPNWpV3yCGZPzgOiqgGiqoAJmhKCmomKipiIiICaqaQUVdR2Oi8kAVKwpApoRcFDn0Vg0w4hFHEYoYJ+GDkURfBDHEwl54iIogKmoLZdnG5O787ees8ATVXM+GXmAX0ZeEwLX9Rifp0J633Ne7wv0AXAl4IB3LdwHz+FL/C492z+Z09VwjP7up1X9X52FAAzExMiKkJZVhXuLrpFNDM1AyJJAiwxy2I7KECBgIiE5J1TFeeQsGBkBEbAqmnIB/YFsjcwVUkxpn5tEsHENBPBzttnl/U5q4Ia7m6q2ZW8axagIRM72OVW24X0Ok8GaIjggWz3zk5XROSNCMFUMwKYqYmY7rxyFBGIUcXMLI3jzmBLSLvoXjJBUCYEstq7cdupQT8MhDSMw5DKAmgcRlcEAjPJhAA7Y4mpZB3a9emdj/ff/jqwS6KqxnQ/6X+dNcuvhj/dI7IPNcK9gvE534DPpQbnG3YxDL/ncfEZwKNc9S8GXlRfiIgIUkqIoGpFCFVROEdK4JiMw5AyMhiAqSS0u6sumdVEZOCdI3KKiMhwFvdEzpXkA7IzQkAFE1GJqWcQQ4txBNvpXTTnTI5D8M67bIoAjAhqgIJIiGSIxLiT0IlIRBwTAKrs6iTEnSqIARmRDZGZJSfNGUARQM1MBUEZSRBgxxVUVEXM1MA5V3jnyBjNIQQHUdKkKB1b222qqhDJatrn6H297YYK0cxSjp6ZEEXEDHLWYbNan9w2S4wVKYqo4y+dme1i4HOp/MXgBBefAXyFh+I+A4DZzkseVc0AVI2JiiIoQ8zZ1AFmJCDEaJYMPjlarPpxVhUmaqRE4L0nAkMwA+8L5AKIiB0ggqnkbCrBI5Pv+7hLksPMTJRTHIc+5FFToYAGppocswIBMp3pfMxMEUmzSM5ERIhAaGaihgjsHJFHdMZsZqYKYIiIBmBAuzvaDQx2VyCIgookNREVIvR+ZwBWYiABH5yhMXtgv9yu0M8DuyzWxzRrGEyY2TuXctxF0MUsRJSz+ZRWp3fi2NflHpMCmKoS0UNF3S8nPlcV9mBeh6/w8vCVePKlhp3dBUYAsCNVqiL5s9BgMGZGdJKBgHcStxko8tFyuLvYGJCZqSioMTIjBxfKoiR2XLALzkw15xwTGhTeB+ezCiB475xzRETMxASgBGqaUBNaZjMC05w1J8kxp2SS0QzBECEweyQ0QEAmj8BmoGpqYECIRMyqWUQIAQHRjAAJ0FRV1Ux3Cv8kWURMMsEu8syRC0Z+UOgERInJV1VpCJt2C4gAru1SSjKOEQzVtCzLsihFLKWUDcQwjUPqtymNqkYAO0+jL3iOv8Iz4SLpCR6DrxjAi8FTLZfXwSPwvnwpdHYjGAIAMznnkdA7F0KRc85ZCUgFdrp0M1xsxo9v3M0Z0NB2criIyk6/go4dMZoJIRCAJy5c2IV66c7lFBEACNF7N51OJk2jOaaxlzhKjJKi5SQpiYjkJDlpTikOcRwkJVA1ETCjnV8/AHPwoSBi+8yrRyRLjipZd0eGLDnGXRDZjg1kETMzUNDMBM4xESE7AR4UF23ablPOWE+mhLTT8LDz/SAxZzVLWc4sFIRmoIBDTIhsKsvF8Wp5qipEjGBqen7MHzMj+JN46F9f5Ap4CXgSbveojjy0++d/PGZwngH3lXzv+ZN34WKw9q8YwAvAfXbjN2Kvnm/kZ4duRiAylzFxURBY4ZExqBn7DJRMKQIaAKt0ot+7tR5jJiMASiqSE2WxJDkmA8GsqECEzMyOFfTMAAu4O0zknNEkkDnCrFlzpJxQM6aRNYNkULEUceho7HEccIwwDDp0eWw1dTIOMvaQR49AYJp3Oh9BS5Ai5eQkwzhCjCDJNFvOIAJgpoKmoGKW1RSQkJkYiZQhEWQAU8NtsqM+oysCkiQdUiyKYBkVQBW6bUtIopokc/AAOOQ89IOx224W3e0PnEZj9gSE92+xZ1sbbwq5eRl5fr6o3XRPTXrff+ECJXT6ygbwSDz5BD90Nbzm6+PBNu/+yUSEVFYNADhmISqKoutaJDJQwDOh2wA++vTu7ZP13juHpqIAKQn54NSAQSQjkvcBkHL+LN4Y2RIwgZpJyhqzq4qyrFwIRJxlQGNHrDtdPSiYqVlOEgo2EkMExJ36xogM2ABh58BqhHCWc8EAVAVVNSXTDCpgqllMspmhqaqofhbVoAJITM7tzBFEokqI3vNsVikgO++dS6bDMFTlBMBENI8jmFWTpouDmiFSzppyNjAEHPvh9O5RGgYODRPbmesRw2u/JJ4fL0kufpXU9lFdeFMY8NPiQjGAL3aDPRXDeOZvX1RLzqfMu2dwM9t5VmIRCu+9d57Ye+/BEJB2DvVAOwqNp5vxh5+efPP6Pmt2TOCCGLIZiIKQQhZAcv6eBLf7wYhjznkc0aypm+l0zj4YO2WkUGKoTM1UCYHZQBSCU0AUNYiIeJZjgUiNmJ2BZhUk54KBiYoaokpmAM1ZcyZQNFNJKpkQsqQsKaekmiXnncGAdhYAdoBkgIgYQkAXhpR88Mm5EjHm6Bm9x5SFmA0BibIkNVI1UcgiajqOMZRhfXwydutmdqDIjnjX5Ked4gcp0RtBg17NHsSHXdX3zOPzRgzsS8KFYgDPjOdftc+2w5+z0ufBZ0r/P2k5AiKBqKiZAjhflkUhrmDilASRGAkx7+LFAKEX+KMPb//yn3lvVjIDgIGIpZicQzJvOY8phbIm53fuN4RECFk1xiGn5L0vq4pDAOexKOtiVk72ytle1/djvzXJqMIsRA7MABRUERBNJWciNgVAwF0AFkrSTDsZnh2iasqgQiYEpiqWoqlkU9EkKapm3fkFEaFztvNHYlYDNWDmcej7oZ/4UJTlsEtHB4hgzlHM6shsTDFGJurHrAYGllVTlsAgY1ofH8ftaoIqip4RAFR1F1m9w33Kt0fhobrph9K+h+KhabLeRGL3KJvBg0+euXcP/fa+AXwTh+5z8ZUN4LnwVBr/F27IelQtT/vmmVELDJFMBYgAHbGrqpoBTAUIJSsTEsAupxqCCcIPPr3z4Z2VAqmoZE0ipmIitsuHrEpgoKqaQUVz0hhFc8opay7rComAyBcFEotSSipqtCPjpEyKJqTiCAhBNYtmIlSVnEbN0SSpZJWEsKsog2WQBDmjZjYjU0lRYkQEIlDNqmKg8FmmOeQ/Uf8goqqJGDNdu3IZkMcYJefgGU0BAA3qqhpjFAMxTSLoOEnOogAuxhQlG5FEGbeb07ufokYANLOdk5WIPM+kv3Dj51c4j4cyy0e9cJHw1QngxeCZJbIvFveZr+3sZmAKZeWLkhktCoASU85GCGcXtSCAgSDcWXe/88NP3rt+6FCAMyCJGhqmJN6DQ1QVQiQg2Olk0pjGMcWopqEqd+mdc8rkkshWNSqMWbOMnQPxCAQIkMFY1JJICAU650MxDj1olkzIjOQADEwQULOoxV0ogYqKJDDdxRwAgHMEGVVBzbIIEe+Cy0Lwnw0DZVFmzDmJKJttt+vGObTISM67osTTtq3rCtVyThhCztKPUQBVIEs2IkDqNqsbH/zgvT/3V7iaIrLZzn3WnuGYCI9wnL8wRsgXiOcR/x/6+UWV+s/jKwbwLLhge+8zamJmYAbEbsyCSDFGAGLHasLO5agEgLtEnWgAMAL89vc/+qt/5tvTPW9ZmFQsEbucDCGzd6BqqIaKBpajxFFjSsMwDoOI9H3HzhVFmcTIJ650XHXjOMSuXRyfvP+DH6PBz/38t6++9Y6GQl1hLphzBIg5QdasGSUTubObF00ZkG2XvU5VZUd5kWD3ZOccqqo7hQwSgTGSEjECMLECiBqqrldrVfUBVZJj3P01BA+jpAxqIJINzBHHlLKICJo5A4wiCOQYNsvjzenRwVtXd23YDfJ9iqAnxDPrOh61Sh9UB10YSofncjzsnjxbv86Xc57XPoMi7jXHxWcALzwJ1zMX9VKXy3kp5t7SPP/joQ24FwZsdpYPDQCJeDKZ1U3DzIHZe8cOgRzkuMvLs9sFiGaAN042f/j9D979xW8zm6gi0y7FgyqQakqJzGhXh4jmnGMc+6HdbtfLVRF8GqIlZReQsZpO1WwYx+1ydXr3dHF7XRbV+vTIBV9fura3f4XLaidFl7XJADHmLMIkjnlnmTAwVFBT3V36iLhTGYGZquScU04AunP5R2RAtDgi4y4PUk4CAIwcKrcZu+C9qSSNIfgkCoBjjIC2u1Og74dqMlWDXXRBHFVUu77HEmKKNz796Oj2zcPrP6tGjuhsnHfWczr78VA8IVl5qP3z+e3MXwieZ4c+mNLnvk69Jn18bXHxGcALx+vJ+R+qX3rwx/n3z//1M84BiOwAilC4UAQmouBcNS2aTLjoR0Igs4S4S/mASKPab/7xR3/+Z79xpTYmHLlypBMYzYKqIaqpALFKjuM4xNgPw9AP45A+/ODTy5cve4ah75u6BLF2WzeHh0J0+b1vfPsX/uKvVJWaLk9ujWLN4dUwmSuSSUIARgAgz0nNENVEDIB2SevwjDupZEIDU5OUc1QVVTUw2CXnMUQgADRUMwT00WB3jVdKmUJlyM4ETaIomHlUMCWEwhloRvb9MHomA7eJVjAkwSwQRAB0yLnK2h7fyeMpFYcuk0NMmAABzaGgOj27rf4pBcn7+PoLxJtOKF9Z+9/0gboPF98I/AKtZy/bfvsCcS/Q93zE76PehHvCspmaGBo73zQTA9uFSdVVVQZ/ll3ns9MwmpFJgXZ0svzBB5/oLtVziqo2DFFFRQRUz5L7pJRzFpE4JslKyMMQP/ro46Oj4+Pj0+Vq04390PU2pv35XjOfa+E6k22KYbJ//evfnB1cMWQ1IPbsg6FDduQ8kgMkRFSRs9xwO4M2GtIutZGK5hjjGMcsZ9cCs/POF+Q8E8PucKIqaiknQogxDWM6y3C9i0XI2TsGMJEMgLuk2btEc4hOFFRB1GJOZgCGarBZrn/8w+9vFkd0Ri9o96HB/cL/Q3nzk8zvU62Hx+CNWM+fi1dPlC/GuH11AnjpeAWan8c8f/wL58UZM3DMaoJE5NylK1c+LsOYrQh+dBRTcsyGYsgASmYIUBd8dX/m0X73e+//3NevXG4CSDJCY8g5OXTGjACSc84Zd2FcBmqGQN77nHGzaRHBOY6V51B2257rvjjkMJ0AUmFA6NG5DKhIuzTRBIwuAIBj5l1MmSgACAgCmIGZAhgSqEiWpGbkWLOKKjnPjhHJTJl57IfddWgpS0yjiBATig0xEVjh2DNbNkIIZRARVSUkQzTArJp2CSkAESnpLh2GZQHNpibHNz+5/fGPDr7+beQgBgBkIGc5lvShcwLwZALmg+88m1h630niNfd+efwZ91EPn7+ui40LxQBeqpvNa+jD80Jwv5HAYKcH2j88RISqCnjaFt53Y8dEqhnACA0VJqW7fLivpp8cr06O8y98ePuXf/ZrThIiiqEhEJOK5IyA4Jiz7pLMGTP54Jx3ZgFBnWMXwsH1a9euvFXVk3U39Nu+nKqvKwMSJUUkQNvd12672wKI2akpASCR5jP3U5GMiLazT5gJGCAAgqgYInrHntk5ANxdDp8kg5mqjVm6fkC04F2fs4h4Au8ITL1zmo2ZEAnRkAERxxiz2i4v0O7ynGyw+0dKImIIqmO3Pro1bJazeZOVDAhUjAyRHr96nsEG8IRfncfrQ+NepXvrM3PKJ3z4xuFCMYAvG14UH/qJqGAAAMxq9XQqImUARig8+13aTkRTBbVJ7b92/dpisby13GSlAfB//N0f/tTXrl6dFGhRgJMpIDITpF1KUQJEYnbB1U3tirTzOGJHzFRN6+nB4fTatbKepJNlv2lnk86HSh3vQnPVzlTwhLsE/2pwpttiZgTISYxQRRDO0kfvros0QlEFQkQkYuc9koOz+wC0rMp23Y0x9cPQ9T2C0WfDgQbOEcLOeJzNQE29dx5ITIeYkkg3DGLGTGBJxFIWAFQzM5CcZRzbk7vjZonzq4gBAU3tM53rxREgXhlepdT1GEvyxaD793DxbQBf4XPxE15DAM55QwYgRJAYdzk8PZ9dughgTeX+J7/0F6u6PlpsshEQJ+Tv31n/zvu3RgPRlFXVdlYAUdWcs6oioQ++qKrZ/my+vzffn0/mk6qpp/t7+1cuTWb7XDXcTOu9fUcudT3EDIqf3QVgAKBmIhk0gYmqwr3diLjLzcDOIRMQ7rIw484JFBGIkIi9Y/YApGo7N6EsqmY566btu74nMkdGYI7JE1bBEZKq7Hw3c9YdJ4spxSQx6RgTO94J9GIwpiQqCoaORU1EPv7gg+MbH0rskYDgM3crAFP7XNvMy8abYs16ftzXzafq9QUj9w/iAjKAJ1zZT27UPf/OG7dt7Bwe9c5nnUIwExEiR+xns72yKECV0VSECJjRMRHCL/yZn/+lv/KXb9y+m3cacBNA2Cr9+h99uOgGAc10VubO8KumCgoIyFxUZdVMJrOpL8qyqqtm0kynzWRa1o1zBRoHX/gyAKOpekNURQAkAnRATpHsM6//nad/Svks9/KOQREhktFZrmZiRmIkAmRmt/NQBQAiUtAkMWeNObddnyUX3jFZ4dE7MjUCMFVCxrN02QoAapSixaRZcRiFyO1CfHdX2KsJEuwSk+akx3ePP/nR9/vtEkHBjIjEMgDgAylCXys8as3gE+CLavPj8STNe0I+8QItDa8DXuuF+FrhdV7fz4M/Uf4gAAAhEZH3oZlMqqpBMD7rNzIzM07r8j/4X/z7d46OjxdLQURTNiUTQ/7ozvIHH34aRbOYgolISjnnnFIyNTUgJvY+FEUIJXtPzoWqDGXJoUQOBAxJGbmaNFT4vu9liDvVO7EDZkMCJAXYXeyyu2VMJakKwFlqn12X0NAQ7TMnS3aOHe/8cwAAEFRFJQPYMAzL5WqxWIBZCC448o4kZ8dUhKCyYy0EdqbbAaNhyFkgZxgGRWTJhkgAuItz2FmqQ1mmlFNMn370wWZ1mnNEPNMvgRle3OV0wTp1wbrzIL6yAVxwPMn55vxvMSJCBjVXTi+/tT458hbVEA0cqCd76+vv/dm/8Ev/7X/8Hyc1AAEAgbP0cJ3Yb//4+Kd/6t3LuE1cIE3YSCRilmTIZcmByNDUNGcfOIs5z0UoCmRYdttlr9mC82jQdYOkvELiven80kG9N8XgFSFrVlMEkzMdTjZVFiNAZFJUNUBA0cTMpiKad4xhJ8saEJIBiKmCiMY0bNvlcr1edxWXLDI6ATAyqB0GUjq7Fs0ZgJox+17GLibnWVT7jKUimgp5zNKN2kWoSiWFIlSr9bJgOPn0o8Xd283VrzfNFAAYWFWIAYFeW+XCPZX3s5G/ZzO0vnrcU3t+7muPijK7APiKAbyReH7B5KHBRAbAjnf+/oaIHCTL7iJGJmJER/Te19/zIZycnu5URgC77BAIIAr4/o2jT4+Ws8ulsTmqCVVUEUlFCgAmYuKcs6ZsloNzToF6WZ0ed3c+8OTSmED0yqXLY9eraFVX2/c/Wjoq9mbV5YPiYEZ1EWY1IKSuAwIxQTDbXbprjr1DYlP13puZnKUMBTNDImQGQ9v9Ty2l1G4269X27tGRSJ409abvvRPQMRA1JaOqKQIRIIopEknWru1Vd50GlawqTABmYjYmTSLInCQFKtBx1w0+hFuffHj5mz9TlrUoOEbAnXPSa43nXGBPSFu/KNwn9Ly27XwFuFAM4CWd116r0N8X2xJ7IM/JzkHeORd8mO/vA7OBeeac0Tnn2d66fi2ntF6v1QwR1ACAEGynIz9q83d/dOMbh9+irDEOXFSGzM4DezFgAEIDACSKMQZCD+7o07unN4+wz5f2D0isXa5h0Trv1GSrOrTbIaURYCQI80l9af/gravT/Zlp7NIw5qGZNvP9vbKZkC/QKg6MfJaCGREVAM0MzRAYUVUlJwSVnMau7zbd8fHpcrGqqiIbDImcIzLzRJPSe4cIuIvhAkPvfbdepyQAgMiIoprBVLIRCyIqggJGSWMaJjRVNQPMY/zwj//gWz//5+rpIVChoGSg4AjPbrM5PxcvcGZfCJ5z5X/ut69Jl++T8eG1adgrwIViAPfwPAfY1xwvihudp/uf2QDuJYRQIkTiZrZnyIaW80AEhffMws7trLsAu4QKO9chIwBDikZ/+OGdv/wzb797UDKOjsljyETeOwCxjGqgWVISBD/2cnp09/iju93JVnK8ceP2tKgKdh9/8mmSPD/YE1AGCKEIZT2tKkflcNLeXH0Q6hIaR4HLWWEAqppiDOTMxHbHFzXR3e1hu1zOIKYq2URVs+UUu77bbBeny+OThYo2ZdnFMXhGVQeAhA4SI53xKyBVTQZipgBIu6SosLv0mAmDdwCseeiGIaXCzMaxB0DvihTT8s6nN374h7Mr77jp4e44ArZzBLWv/EF3eM0Z4QXGxWQAT4KLGtj1PPhsTAyJXCim871s5p3T3DkfCNFUju/eCT5MmskxnZrAmQ7oDAjINxf9779/88retx1YlkgIBoYMHj0a5VFFtNsOy8WmW493Pri1vrmU7VgW3NT1tJxO9/bffve9sqmb+bRsahd800zRBSXEIrimgEB9jim4+eFsslcpxBiHcRiSaiYwSWSEgLq78tfMQBGQmU1BVEBE4jC029Pj4zu3bq2Xi6YMYjjGkQBUsieYVkXhFdFSSkVVEFPKKRupoakRo2gGBDU10NmsEUu6i0VLlpMSsWSxLEnFsW1OTm68/71v/pm/WM72AUnVcBcE8brivEzwRbflK7xcfHkZwD08lXPYiy38Cy8QHwh4uefkFsq6me2zL50bvSMmKtjqEG7futlU5dUrlz/68CPbScJgcGYKVkBNBr/zw1s/94133r02dZqdMhqD7eIBGIHbtvvko5t//Ic/GDbjXjm7fu36Xtlcvnxw6fBwbz4vimo6n4+aXVmQ9+V0LgDrrismEy4DlmQOCrTKu6IuEyoCokP2ZjkZmEoGJSQ6c2PUjIhIZGqghpI1jWO7PTm+c3TndrvdTJqSgDbbLuz8SEELh03JwSEYZDXMiQgR0QzHqACwyy8dvAOEfhiAYOhiCN4MUrIxat+PjFQWoe/GJDoM/afv//D2+3+8d+Uq+j0AQlNEfo1ZwCvCuUPnmzQWF0lN9OVlAC9VunmxWpqXjZ3Ed29Z77zaVfHg8Mp8/+Dm8mQ6afpucMxFEU6Oj7pu+53vfOe3fuu3dxk11ezMqokAlg3gxmL4rT/+eP/wTxcEwQDVAE1BU8rO6Tj0m9XqcHbgZ+Hq/PDqdG9WVtPZtJlMfFGGqg57E81iTPVsPpIzxGY6dVVhbMZKHgs2AhMdNeou+xorgwmgJZCcI+wck+6lwwOTLCBqkseuXZ6enNy92243VVFOmiKNaewxOM8YmaiuXF2QJxKNhAiEYskT7y5/NzBQADIgELVu2xZlAEJDJY9JISYbRplNWEyKuti2nTrqtqsfffe3vvGn/yz7iXclSXydCd+rFPwfWtcXNSwPDQV4fADNS2/TS8aFjQN4/ORdgJl7edh5qWdTF8pr198ex3FSVzmmEHwR/Haz/s3f+I1f+eu/Mp1OEBHA8OwUgADGaIYwAv/uD2784KObGUgRZedXxI6cJ4fNpPr5n/vZv/wX/uLP/fR3DmbTpvClJy8ZUyLJjDZ03dj3aRyHrmOgXXYHZFTUmMesg2hMss3apzzGFGNO2UwQBADsTMlOiIBARORYTVWS5TR23eL4+NaNG5vVuiiK/f15UxWe0REG50zVMTd1GQIXRaUGhgBnbqvZDHIyR/TZIIGaxCyySycnQo5jtqwA7BRgTFFN2TlE7tv24/e/98H3/1BUDPAsIOAJp+O1D7N6KnxuWOIrxmvVmFePi8kAXuAZ7Uu2ONAMzsJWueBmeuntd4CIkOrpBCRNS2oc/Q//5Fe/8d43fvHP/TmHSrSjtLsLAkB21lHUu0P+F7/zo5unfS+WUYYsZkgIYujLopgEP6X6sKgPaihdRuxj6vuhb1vp+v7kOC5O0uK0P77bb+6ablXXXX93GI7Ntipdyu04jhojaSZLYAlAAFDFdp6s5HaMA5GQADUr5JiGdn189+j2zaHdNHW4cmm+N/3/s/fn4ZYsV30guoaIzL33OadODXeepDtpntCAJEAyCMkWYjAGm+ehu6H9jNt2g9/32W6/9773YT/bTduGRhgJyRgNCDUCS8b0AyHbtEFCCMm64mrWla7uqDtW1a3pTHvIzIi13h+RGTsyc59Tp+aqc2sh6u6zd2TEiiF/a8VaK1bYzBIzkSEiNAS5MaPBcHVpFYgLVxEKixCQI6pQARwyCpKCMcRIBphFaWQzcJYpY8bKu9K59a2pKE2n0yHxzMHGrJptnfrG5/6kWj8OIB5VhQEQ0AE2B4mhNqhdpat00WivCYDzLs/3htq1A7VjoiF4JzkkzzHmuhtuHC2vTGbTpeXlopwxwii3jz3y0Gc/8+mf+PEf379/lRUYgBEQEJWg+Z9X+8jTG5/+0tfHswKd46r0VTmV0hWzqpx6KZ0WaiVbzXk1g32G9uVVJj4THYg3JQ28mmLm1sbTZyazY5PipJcxYQXiqqJwRRmCSQEJkcKMEyIiGiJCRiRt9ibOl96X1XSyfvL4M0eenow3V1aWDx06tLJvOcuzPMuM4UGWEwERZVm2NBis7ludFWVVOkIKQ6SgiGqY8txmNqvTPxB60emsMmxEvHciAONpsTmezYrKOS+qZGg4GFSVG0/Lxx599NH7vwbVTKC5tgYo3Euzw9Hg3STzuMwp5f9y283shpnLiuHzS1e2AJi7LBH7Bzp2mLbdvEv9x6/cN3D3hICqiEhMYG12/U23jvbtL5333i+NRr4qV4bWov/NX3///tV9f+fv/t2l/fuUUes00koohMIgBDAD+tOvH/7kfU+tVaZ0vionvpx6V6pzKpWTstDZlGZTM5tlZTFw5dDNsuL47PjTm08d3njyyNaTT5x49KlnHlzbenpWnizKzaqailSESEjU3OUSUCXc9IuITOGuRwqLQ6QSN6tmm1unjh998onNjVP7lkcHDx0YrYyy3LJhZmKEzDAhGKKl4SDPc2be2NjKbKaI1lrnHCKIKqCGtNBZlhEzijonzrlZ5a3JRYFNNi194cEpzopyMBg6kSyj0Wh0Ym1r7eTJe//kv05OHVYEBVFVUWzymgaBtVuDD54hXazlcxra5Rt08btz+QzRRaYrWwAspF3O5dmh+WUlA84XM2HERERVscmaQADO6/L+a2689bmiQMRZlhlCS3BwZbBx/Ojb//ef/47v+I6f/L//xNIoF1UgUARBEiABAnSCvF7aP/hv3/jiw0+vOykqLafOOQGAYJoR8KUUMy3GMtlw6xtu42S1tq4bumzowHDpxoMHnnv9/usP8dDWkURMbK3JcmNzJlOf8UI0xjLbWgkgVABVFe99VbrpVrm5vnXsyDNPPTHdWl9dWTpw6MBoaZQNcmQGAgxniUEJMLPGGB4NB8VsNpsVQKQKxIyIKooqxjAiiAoyI1I4KiYARemHw9x7zQZDp7g1K53ArHTOSyl+NpsM8qyqdLyxdeKJR5566OveFape1Ctg2MQAzl3W52VOLyvqY/cVvaHZS7R3ooDO9PDXaUsuPHK1tzWF0OWgzhsmYzPC0XU330Z8j3N+MBiIl1lR7hvm1x5Y+dqXPv+//bN/9g//Hz99w//zf3nv+z/4wCOPVaoADIAKqOAJqpHBg0vDhx994tByfvctNwwUS/RelAkVMFy7SIQEwBatzQaDwWh52WTDbDiy+QCIWFCJ1Bq2OZvccBays6mqiEdgxHiGkwDVqXr13le+nGk5rcabmyePHz96eDadra4s7zuwf7A0UiJFEBEQFS8YTF4ICuqcz/PB8eNHRJWYARQBnRcvIohZlhsEBzKbVQYVVA1RJVg6L6penVfN8nw2K72iVG5zPF1aHvqiIKR8MNraXB+dOHr/l++96e6XLR/MVJB5oPVpMIGQJg4vkgzAPRTLeKEpYktIQr6X6MoWACnonxaaz33FX27of375ISIVr+ECW0VEMMYI5Dc/5w6b55unNq677jrRiaqqr1YG9uDK6L6vfPH/8zP/5K/+tb/6Mz/z//7Mpz/9yU984tgzR11REgDlg9Wl7IbrVgnNA48deerwF//6D3znnTcs+xBlqogIuclFnSG2bPIlm+eDwWiUD1fIDtBkmA2MzY0SIAkTG0tU+xqAkNQDBAeAVxVEBCBV59S7qqhmE3bFdOPUxvFjJ48eVe/37d+/un81H40os4roxOOsUhHvPSJ48YjovQCgKGxubbFhEQ9IoioiSsA2W1k261sbeZZPpyWoelflloqprwBLX2V5Nt6aDAeZK9ysKDPCrenMDjIjQESDPFM/2Nzcuu9LX3jRK19/Sz5YWl4NWfS8CkIjCHY8G7zdjJ9W+9ljSzfdSZwPdk7fXDrC8fMeEJ9XtgCAC7myL7d35iIQIoGG27YERVSh9Pqc2++85tprZlvjZ46fvObaQ0ePHCGA0cDuXxqub40fefLpf/kLb3/B8+9643e+7q/+2F88efSp8drxajqb+Kwopk8cPvLQE0fXpt7o9Lf+02d+/EfecOt1y05UxTOTgmZZZpgzY/LRUpYNTDYwJjd26BQJbGYGoISGDTNSo6WDaiPyna/Ee8Q6JYX3or6SotDp1ub6iZPPHN5cW7ds9u0/ONi3LxsO0TAZKwhQeAIAUS9ewm3tRCIKQJtbW7OiRFTvvfMBl+tXPc8HPNkqnHfOOxQAHy4gKCuZzso8t16cerAGptOJWoYsm07LpZy3xluD4dCrGmNOHD1y3599+tBtd4xGI0SLbEOULIQLj3GOKbvc1EYYuqySVl0g6ozJBULhhdXuAbjv0xUvAK5SoHPJbIHzu6piak9FDLo2L+/ff+ddzzv21OFTx07kg8FoaXl97aRFWlkaHlhZrtbLoqzu++r9933tgX3LS6vLSwdW93lXnTi5vr6+NS3KAsgTe4D7jm687/c/9z//pVdft3+fF88hwz6isWwyS3ZgsoGxAzIZKBqyGVsSEAJEJCZmRoXaeVrfB6nivff1jV0ivqpcNZuWk42NE0dPHHlCq2JpNFhaXhmOlnk0snnOxjoQ9cHeoup9DZtEXsR57xXKyaRyQkyq4n09Qt47g4iAw8GgnDjvpVRdGplSIc+x8uWsrAA1s+y8H2WmLMuqUD9URiC1Fr2qLO9b3hpPwbtvfOneu17zhuXlAyYznBEZBIXg04b2PIZ52fOwfi50oTXxvaHpb0dXBcAeoXPHiLDQBZhQEL0As8mNc2wGN9zxQvPZT+XLgxMnTjznlpunxaAqKotwcGnoRE6tzQoHTnVtc+uZtU146khMmBxgDdUpgBB9/fFjv/o79/53P/zG2w4aRELNRMhVMrAa7glQABFQElYV50DAGWYAVlCS2s0LUmM3KjEIsPfAhOKrqticbZxYO3Fs7dhRUl09cHC4NDKDgclz5RFnGTOrc6IleFHnVDyzQXTOS1VVCCjOlU4FPCOqkgo5J6IKahiNSDlg1NHgVJaVVaWcDbREEG9x06kv/VJmDYATzLN8MplV4AEnioN9o0E5me5jHlkS708dP/qVT378mtXrDtx6R8WaqWXIgMCTYw0pSAHaqv15meK9ShcUo/eSwadPezAKaGfaZSTZWbxsl2HU3Q4U+cRePpZa5UQEBWYrSrfdfse+g9cYZlB/cm19ZXmfq8qymgHoMOOVUTa0ZBFYwSBQM3h1Yrn6aIGqKhDc98SxD/3uHx8+WQobQCeVc05Lr+I9qIr3VVW6qqqq0nvvxUtVSlW6qqjKonKl82VVVSGWyKtU3oOKqnfVtJhuba6fOHX8yObaycFwcO0NN+y75trBvv1muML5UjbMyRgFhQCwCF68AoTdA6qKl3B5WVmWFDJAiyKyAiBhVVVEVLlSEVeWRocO7FPxRVHZfJBldnlgM2TwUJZOgCZFhUSDoZ3OJuNpNZmW06Iikxez0tosHwx85e7/yr1Hn3xwa+ukihBoRsqqIY1dnIV0pnZeVP0YmzNaBrukM1lfF4oWcnIRoHlPoj/sAQGw+2MyF3MKr5Qot867FN4tIlJFIiJmIgLmA9fd9MKXv0qrymZ89MTJqnT7lvKynIr3rC4nHWaYG7QEBoEROD3apHWmiDAkjuhrj5/4zY9++smTY2VUECcwK6UqCvDeV5U65yvnqmpWzKqqBO98WVSzifhKnKuqyvvKe1c5Vzkn3ntX+mpSTNY3Tj5z8pnD1Wy6f//qdTdcPzpwwC6v0HCZBsuULwFbYBLAcEGxqoSDCwigXlQ15JQGBe99llkA8F4ByIlXRFHx3qkqW+uq2U3XHMgIXeWK0hMyqV8dWFKonI4L75HXx9OV1ZVBxpNpuTGeTWZV6bTyura+WTlZWl6erR/74j2fmKwf0ap0lXhxiEJav49RJO9mIV00aL5MZECHzm8w9LkUuBLpihcAV+kcqXd6rvWRjUXOlPPnvvCl1xy61jIJ06m19dEgswPjqsqgZBYNSW7RWjJECLhNToMQ7Qiesq8+duzD/+nTRzcrtEZ8Vc7K2Xi6tb5RTWflbFbOZuKdr8qqLHw5c7NpNZm62dQV02o2laryvihn49nWphQzX0yq8fra8cNrxw8bkH37Vlf27zejJbO0ZJdWzCCY/jNmRqRaIHlREQRlBBVPRIAo3pdlKeJFnTEMAAogoN6LiCCB86WqF1XxVcZ68/XXqMp0VgBAbtiiG+WsokWl41LGhTtxaiMbDJRoVvlTm+PxrNialco8Kwrv5cC+lYfvu/eRr3xWp1sKOFN0oNRITSJi5u1U78tHJFwOdPE3KHtpeJ9dPoAL4U+LFeKVGVidGjeb8UEFCtHxCliVQHa4fPC6W2+/88SpE6rqxa9vbY2Gw/F0IqDMYC1XKgBKhrBSIEIvnaFobKkqKDO0X3jomX3/9XM/9tbXHsxZi2oq3jnnBfJcssHQlyWQq8qCVBGJrQWRkOHHqyqIiC+LmQMti+lkfGo63rSGl5ZXzGCZBzlnFq1FNhziOoP5STwAESCJ1lMlQkzGMmJ9Ds5aYgdFWXjvEVTEe0HvPREWxQzJTCfjQwcOFLPpzTddv1mWx0+tV0WxbzRALr06a9F5qLyiwubE0WhAxoqvKpETGxtLA4sMy4N8XBQMOBrwI1+856abn3fLS1YpX0VUEgfAsP0OUpO8rTvTVdfx+SXcoz6AK14AbLfKt4uKOZdomXPn6uI8fhbNRbxom54FAYyxXmTfwete+MrXPPTwQ3pijDkXrrDoDxxYPXHqOCIwgWEkUBAhQvQhLnNRW6LIToDH3vzJFx8BdT/8Pa++ZjhyRVU5mU6L4XC4vLyCxJX3ZeVYkZnZmnwwICZAUJCyLFEr53xVFsV0jCzD4WC4tJQNRzgccZaxtYCEhKSKJCDqQ4CNKAIwcikqXsqyNIaJiIi894ZoeTQaz6bel94DIYj3xgyLYua9WGTvdVa5TWNGo+XJZHzHbTeTyqlTm5XhffuWkAvgCiaVF/VeigI2dJbnCMSlaFX4ovKA5J2MhgP1xMQbx575xuc/vXLdLav5nZAPFLwKEDMChswWO+BOOlMwl68tdeT80sJ357KCxYW9PkcOd5iCPSBir3gBsB2do5a0+7iLy+oFOGtKgaOGShEEBRBmRmJrB7fe/cLrb7r16acOz8rJoYMH144fX1rG5dHyxsYmATH4YcZSeBUQUL+NBAjHnRC8oG46/JMvPOaK8q3f+W3XrwxAFFWm48l4c8sYIwplVap4EWGmLMvZkIpX8V48UoXAzCYfZKPlYTYcmsGQ8hFZy8YyW4CQp9SDqAA0ZzhVVCRE/SNszWZLy0tkyBouq8JmbJgtUW658EKIzGSYRcQ5GQwYFZngxKlTwANrWKvixc+7/Yknjx45drKYzJaybGkwWBmU65uTaQFOfFVJVYG1ZCxn1syK2drm1OXeC9EKFrJ0cn3LPHzfoS/9ySuWR3zoJjAWkVRAtT5xWmed20aD2e6bC02XJ/BdNK72xisf6IoXABdHo79otFCbu2jUHAUgBFAVQlBFZlJRY7PVa6+/6/kvfPLhBx878nRRudFoeX19bf+Ba62xRTkjQFCxzKLgQSlk5+83AaSqiIooinYs9JWHDluuXnrztddfc2iUDxjBUridCyvvqqpwzgFouH3XEFrLmTXZkPN8NMgHS0sjO8got2gzZUNEhqnJroyqqEACIZRTVL2qomGT2eHS8nU33OBdIYrE46oqM5sN8mw0zL06ncyITZiCzAxmk3FRlKOlJbbIFk+eWrvm0CFLMhtvvfAFdx+8Zv34iWOuKpyvrl0dXXdwdWtWrm3NxrOiLHxVee/Fe87Yss0EaWtSlG6rrNyBlZEceeLeP/nPVeFf8to3H7zluWTqzRc0QiuI5OBVwSRwq7M8LgIqXaHv13m03uw9Q9AVLwCu0nmken3XmRVQghkfwRrjqnywdPAFr3jF17/y2WMnj5WlDAcDntDJjY3RaMlPC6dKiiSSMTmvFC6ICeo+SO0WxpDyUoFYvZA4Adp0dGy9eAiPHF9b3780WB5m1lgA1YDZ4dZ1JoNoGSnPyA6sZWtNnpt8aMiSAJIyE2eGyBpkDokVEMPhAgFVEBAFRSTD4JXZ2Dwf6MrmGrAVmxN6XR6O9i/bqjBuZodUCWLldDopl7J8iuPKlZsFLdlsZZg7mR07dezA/v1SOdSjN19zzR3PuWFtbf3EiVNl5ZyX1WuvuW6/8+LZmMr5ja2tyawyjCpOvQdih9mkEtjYVMmZ1/7s0394+MgTz3/Jt11/50uXVw+srB4gzjGIQUQEkMRGl+wJwvBqkwzj0q2ZyxgcL0+uLhN69gqAy1OduTiLdTd9x5BgARFUDRtVQeZbnnvX7Xc9/1sPf2taeBU/Gg2fObkJSIPBYHpqSwFVVUGIkAUI1S/qTbPPqDMsTCsZTyu/airvZmUB4HJjjTEAQAgeAYGACUMyCCZiYmPYGGMzNpbYIBskZmY2JuSJY2JEVhWFkOcBlBiAiEk9KQCIoBGTQz707GCYD9XzvpXs4IHlqpoUU7dZVrPKefDj2XTl0EFruRBfTmfq/BKZG645tLE1Ga9vqqI6qIDsyRMrKys3XHsNs6mqqirLyWQiCmRzRDywPBiNlpx3VVkiIqiAeMNMBIa5Enjm2ObTRz/31S9//a5Xveau57/olttu33/outWD1+T5kJAUlJUASMQTkaoSkYjUJ+2wZZG/+Au7bT+8vNC2s5nemb3O/ntn0//l1tOzoyteAFzQ5X5pQym0rfRtVwbO6yB0WkQANgYUEJXI0mj1tjtftG//Pf74SctYihkOBpPp2OSDQW62tioiFAUCIEQmEImXxtdEBKCgIQ6nDrXEycw5L17Bi4qogAKiYUIEFFUR55whg4ZDxkxARTJkDbGxgwFnObBF5pARFAPoqwBobUOp73EUVBQFNMAAgKjEoxUsCxguVYj5oWuWrj244quZr8QRntgcj2dl6XBSlqPlleLUOhFMppXq2JI9tLS8Olxa35pOXFlubFhDz6yvZ8YMh8P9qyvWsh0aQkKhwSAvywJ9oV4EpCgq5wWQS5G18XRta+ZEVYVQ88x848nDB6/5zHPuvPv5L3zpDbc85/obbrr++hsOHTpkjUFEazNjjPdeRFQ5JqeUOovf3Dp0NQpoIZ2173pvwH2frngBcNa0x96QM+rOzoXTU0gAICLEOMwyB6ic33z73Xfc9fwvnviMISiVDDMhinfEaC2WlVrLrvIgSmH7kIoABUBBBPGBAQVEUZxWUlTei1ZeBmCQSEEBgZmI0HsHQclFQEIvzonPCZGZs4yMIWOBLSBpiGANfggRJEJiQAR1CAIajrmhEwAiMoYAIceBhWzoFMzKSnbgwBKIA0Fkg6CiSgSn1jdWlpYOHDq0vrG5OSsQyjV/glRslu1fyZcgR+Kt6cxwVpazrRObh488RURZZlVgxJkxjIxsDNu8ENicVluT2fGt6cZkWimAyZAtoDIIzarRePr0sc37H376D/7w02yypZXVPB9cc801KytLxtjhcHDjjTe+/OUvP3jw4PLy8mg0Go2WlpeXsiwLoC+iIur9Qv/LVZrTZbhZuSR0xQuAs3YCX/7ov0tDze4L74ZS2ZCoS2AyO53M2PDBG2570Ste9fUv3yvOqUJmLSIUZWVtnmVaeSdeGZFAQMOt6i1+RdUyabhiBevKS69F5byCgIpqLTRAEdQYNmxVPSKwYZtlWZ7lw0E2GBAZIPaKKsAGFUC8VOoYsL4tkogQVMALGVJQ8KKIyMzI5D0qACE7J0v79tnhYHnf8v4DK4yIwJaNZUNoT2yONyp3am1z/+rqtdddl2+NNzY2ialwUzTegCwZa5kPDVaYiO1BttZ5KZ0XQO+lEPSiWWbXx9PHnznx9PH1jWkphFmekzU5MyJU1SzcwozGlmhAdGtcqM4Q6ZnjJ6wxjzz8IJASkSp4762x1maIxEwrKys33XTTjTfeePvttz//+c9/7nOfe+ONN6+srBCR905EOy/IBUW9yxNSL763/AqiK14AnDXwndZ4cqY1n5d4pIUPni9wP9N65gIAAIkNk3eCJr/zhS+59fY7n3j4IctaVWU+yIutWTBH5Hk2mZWERIBMEFJ+plUCqPdKbARc2BAAgAiUla+8iNT59wnZGsMEmWVEdJUiAjPnWTYcDgfD0WAwzAYDYzM2GVlLbMKB3trag8TESAziRVQFguUpdIqYUCGYqTyBoB8tm+XV5Xxp/3BpJcgdAsoHeZ7l5uljDLoxmZ06dWoynSwvLV1/3UFBtdYMMsOI+1dXl4ejzbU1YmBDk2JWOSm8OAVFPjn1axubx09sbEymhfMOyRObLFcyXjyIgDhVWVpazgbDWVlV3ov3AIoEAD7LUXwFACocUrQyE6CKelTxHo6feObY8aNf+vIXnHPW2OFw+dZbb7nrrru/8zu/4zWvec1tt90mor45lBfOFpyXve/C1b5ztekbd9FQuM/S2TGwl+z+KV3xAuAqnV9KXxhs0hGrqhAPsqyYzQqlg9fd/Jw7n/fIN79JwMEbaQyVlSO2vnLM5LwwoSigAvQcwSGbMwQ3cDhrEC5I9BLuyZUQugNqjGFDjGQwEw0R8QRE4VIwIkZiNsbYnIwhJgzZjJCRmcgAhINfiAAiICGvW9NBZgBRoJAlSPcfWpnOcGllPyIAGMpwtDUYDnLLsHScj5xcP6YTr/74iVNLS0MydjgkZpMvLU0dbZ7aGFfIhOP1jXExm1XV1rSczMpZUW3NpKi8V2BrKRuQ6mCQZdYWM6eKHshmo6XRUEQ3t6ZeQrakADagqCIE8bqDsC0K0yFCRPUEgSKgtRYBi3L2wAMPfPObD3z0o7970003/+AP/MCb3/KWu+9+3tLSsnMuCAA4H/bPcxchFx9SO7vb3TcdC18VAM8iuiKcBBeUyVi5eA9E1rBauzGeDLPswLXXGcOo6KeekKrKOQejJQszJ15FgisW6mxrdX1xP6EIiESoIY4FRMF59d6rGlXVxnDBhJbZGAZlV1Wq6r1HoOAIbq5TB1EFEUQCCgfNlALzdYQMIKIQYfBKAAKGM2IAAsyCgIblhpuv3dic2Xxk3XQIzAO01lg2BnGY2+V9y0vH1te3Zsc2tsqq0pk7fnRDCQdLIzA0mc2Ob6moJ8PZMHciTsELCGSYCYIjoHCqYCmzhtQVE4uKzGQzBdwab3ov1jCCkAJKvVUBRUWG2hvvk2MB81MCdcFmiIkYgZiJjXnm2JF/96u/+uGPfOQ1r3nNX/yLf+k1r3nN6uo+ZiMi4WhFnJELTZfqXMvOdNUNAHtVAOxywZ0vbahTGySawkVY9BdOBjR+RamTqBEhWVVH2ei6G29dWsp9pW5T2BrDpiirovRs83I2FgUiIhGj6jHsAbCGG0UANYzIdjZzKkoApVKFDFKBWocW6ovJhFAt0SAfIEDFIazTg1aETr1X8aACEDJCk4gQEBASIQCCqIbME/PjxwjASkjNMTGu/2tsDne+8I7PfuZzJQzN6BBkY1sNmcdZNrY5Lq3YlZODfcNsfXNy4JTZ2nSi+UY+3SynFRZFgUqZDNysAO+UxyVbw4aAxbAu5yuT6axwTlTYGCeurDwiIpH3ItWUidgYY1hUAUFrU1UM9PcdpVVVG5FKWF8gjPFwgKpHCnsEJKI8zyeTycc//vFPf/rTd91118te9rIXv/jFL3nJS+6++25Ecs7HGi6aMIh0aQ8wn1Hr8aXee4agvSkALiGdIxb3Tas7C7Mzam43XoqO6Aop0owxqqrggwfVO7+8srK6um/t5BYjlq6yGeOsms5mbHJRVA06OoZwTyRUAUQgQu8VAJx3qNQcDQNRraQGMkUN7lsREVEiMnWIP1WuYibnnLjmbm4E7wW8M8y1MQQxxP5DuNgSQEXnZw9ACQmRFLAZXgL0ivjc2++89/Nf2RhPr7t21TmjXskMssFwuLS8tDwZLq0MRmsHp7Prrtu3OXbTQouyGE83C4VTM3rk8LqUNFwZELMPqUbFI+ByPmJrYTYLQ1uWJSISoPeCRMRkLbXHnCIOI2LoTmdqMDkM3ByowHTWVNWrRyQEBNaQWFRV77///q997WvGmEOHDv2Fv/AX/spf+St33XVX2FRd6N3AQkP8pYLRzlj1C5z2+720dXhWC4DLc2ca6ZLYoNJA6UDxG/GCiHk+8FKBKhGp6GCQTU5O2OTG8GzqnVbIXJYuBwQC8FDfMYkKoAHgENB5jzGGHcCLegFBFISQq0cBEAiUBVQR2DJDEAU0GAyICIgBUURRQQFFtL7ZBaC+01gRAQRFQDGeSiYK2jchIQIgiZIAKupoZfVlr/i2xx5/8pbbboISRSQ3mR0MwVWD0XS0srKyf990PJlMx6VAWblyOq3Kcr3Ezz94ZGN6RGCoPuRAUgDNM3tgaZUUDq8d9woiIqpEBAAImA/ycGAtbLA6KB90eai3LPGndK0qIkG4vhlQFYh4Hmrb/Nd7r4pIElwjiGiMEZEjR4584AMf+MM//MMf/MEf/Imf+InV1dVLEjZ6qWB0L8H3udOzWgBc/nRJZEBno1C/MIgCgEjWWim9iIbPgywnIlElZue9iEfOgLQSRaovOA9A1XSnRqqQ40BEUIOFG0QBCGrHsZIIiARm1FpDzM5VgBgC/22W2TxHNsYYDPk8iQEJtDmNjM3lKsFKDgFSFQL+B88AEQIymKBrv/jFL/7kH39yfX3rwP7l0pXCRm0OvuI8z0dLo5VlqZz3WFTTspy60k0r+rP7nvzKg4enkrNlJgDx4qrRYLh/3yoAHj9+UsJhByRCRSJmtsaAQuVdgF0iSkd+B6WkZ2MMnQh7iC6u1Z4P8eKaM32IYTOXZRkAPPPMM+95z3vKsvzH//gfE5H3gvhsuR3k3GXAFeEg3A3tTQGwm7nZTZmO1e9CT/llUn/qGgnwFOJ2atBEJERxHkC9dwrAzEVR2iw3VjanzpKiYe8dKgrUynww/VvLpQNxPtQcoloA61sjo96rIWkDkYioeGN4uLRkMgMAs1kJqh7Qg1piIg4PaJBRtcocalIIIY/NZiYYVeLBNEQioiCPvCgBLC2NXvltL3/wgfu//TWvzrPMOee8B2Zko1wpsx2hghm4qSunW6V84Uvf+u1Pfv6kM5oZhipnEidLw9E1116zMZkeW1ubOheCTdkwIIbrJ8uqCsspQv9CNAnSERq0Cp7egPjJmozWf4AE1xrznapAyCztvQ/QT0TBoOe9Z+aPfOQjxpif/umfDgeML7IzYKFR/rTGyfPLwG6qTbwvNSd7xhmwp2R+OkmXqvULxMNF7lqKI0EH994zUbD8WGuIcDQY2MyqgM0y7wUBbU4KMCsdIChC6bzUR7pqtT+gPATM9eK9rz2dABRMNrWngJnImJAFp1Z4jbGD0dJoZWW4vGKyDJBFwSuEjHWq9W4DkTDYeRAABEDCtS6Bc6SwxWhAsxZO4Ygxqfgbb7z+xhtv/Nzn/kwFhoNRng0MszEZ2dwMRjwYqWXKBzBYufcbj7/3P3zssZMbjpHR54yjLHvubbdde+iaY8dPHHnmmULFMwEREARR5Nxc66/NQQ3Fka95bxviYG7Yia6LbddDs2mDkCFOQdOc0kEYxAMBRVF88IMf/NCHPhSSL0HIzfEsoPOlI17ptKd2AKnqer7q3DN7vTOiDgCJKBODCoJaw95rUcyYybKpKkfExFy6KmjkrhLPUkfnBA2/8VU677XJVANN0AspGMOZIYNoyaASKiKCghAF0Mb6Mnc2lggAiZjyzFgLwLU+Hy4wIMLa/YyqoiJB6VdxaI2CIigR1BmDVAWABBWQOERbqqq+4IUvnBXln3zqv732td++urrPVTPvHROCMgAglbPS/F9/+tn3/ubvHp+UmbUs5epotH//ATb21Km1k2tr06JUY0AIFUTDPb81WEelPh3kVHNPz971C4QaovDozBS0XwEiUgHnHAAEfPfeh31VMIKFa3BE5H3ve9/tt9/+pje9qSzLS6VCXeZv2Z5R+Tu0pwTAhaDLfF2ed0q3t/FDvDMLEVWAkTbW1lBVxJdVVboKEMuiMvnQGnKi3kslEnMVA9SGnWBkwGZHUJtpQJkos2yYMmNRARRC7AobQgQVCSo6IgBxMN1Ym1lrFQiBgWpAb2xUIOJVvIin2vkchRABEITYx7AHQAJkxeAVVgR1Xl72ilceOPT0H338kwdWV178oudfc3AVkZw48VJMio/+58984D/84Vjzg/sPDgd0w6ED4PTBx54+ubHhAMBayXIERCUDoKzB/hUs7J17vjpD3exKaur/mir+qQCICn5aLSKWVSUi1tr0cU1OBTOziJw6dertb3/7XXfddfPNNweBcZWeJbQHBcBZQPZp1fyLIwY6+kXa6EVjoN8QEamIiBBmXsvKCTEIllVVVlVVSlWKVyIRIC/WmEJ84dQJUAiIqQ+w1uFAiqBAAEDqVRGIVSUjHZAjHjCjqiBbY2iQs7GWDCkKaYng2TCwFQUR8E6IgA0BkbEGMBw5U8DgOHDhfLEXCGe+EBQUUAmVUIMUqkkx3BlAgFg5J6oG4Jabrr3+B//Cfffd/4lPfEbL4sDq6NCha7zmX77/0T/97Odvf84tmI9mXk9ubH79kafW1tYrZDZZfdygljZaR0BBWytPQgk7/naYm3qAmaLrApIFED7UfuwQLBpP2NWuBUYgEREPIhIul4+/dtZYFO0PPfTQO97xjn/xL/4Fs7nQau7OHrW+ChKo8YWcZ028s4VK2+rzvN2vVy7tQQFwlbajhX62FI/SwhGhEJGYwyWFWnsJkTDk1gQBENGy9MxcVWKtkVmlooidLEA1tiGgBiU/kACCDC1Zw5aNtabWkQGZ2WYZoShIkwBZrTHMuYgSE7EJKaBFNUR4gop3tS0HEQkx+CBEREENEKKEc1L1jiExpnsvoOpFmEjEOfGA2Ytf/LKXvOD5p44eOXZ87fFn1t/7f3zoiRObJh+UbmtcumnpBBWJ0GZMRBgOIAvWKK+NZxuhcdKmwx6EQWoUggTfF85d4/INae4wJoeIZRAJgQDAGDObFX241CbwNPwUjEJhK/AHf/AHr371q3/sx37MOdluVZwXOq02s4MMOO/M7Ex7CesX0t4XAOdoxN9ZW7lCqT8m/W7O0Z8oXlFbSwUR8TrenGxNpuLVOQVA58WLR2QmYhLvFrw2CkBax+EIQIhBsAhLA8iYMmusYeeCFxiZiJmJkACJmYmJKPh4M2sUMRzkFUXvXBPZKRAOyDJ578NJVwBQEQBUNjXgIhKE5KDNcQQMmxxhJvXeiwCjr5S8oNta2bc8ldEff+xzX3vqxBSYq5kAIpJag6CEzdnjBGoTBG+ZaNLx7xvxsQm7qiOg5o6B2n8b/yRkANQ6adL8J+LgQQkRRMkZjsZzED50zEqhTu/9L//yLz/nOc/59m9/rXMSlsAZrqw9SHtbBuypKKDt6Fzmr/Pq7j3abk/dsVTEDyJeRcrZzIsoUlmGxPt2NvNSlwRpUj3v2HD9/7mF5QFlzANrTMjFzBjS9TOTMaZxAgcjDhFbZEPWEltFJmY2FoHFAyghqqgEQKwhz3tVQVWKITSNbq4gzpWVK6qq9K4SV1XFrJhNXTmrpps6XXfTtaKsvvnE8Z/95ff+7ic+LfloMBplgwEbEnGoYpkGlhnmW6tocgloTjS3zsfdRlhUQeTEP+NKi9uCqPWnwoAIMcQVxZjcZqyJKIhJAKiqKuGBQgQq9FSZdH6Z+dixY+94xzuOHj1iDF041OvYvvrU2Q9dpQtHe18AbIfgmtCzZJ11gKbzffwzjsl8Gw4Iol68gjKzr6rpeDoryllZqaLzisRO1ImWzhPxtk0DKhAiN2ZrYZTlAQ8ztoyjQZZbwwxMZAwzc8jwDIjhfmBmw8YiM7Jlm7PNjc2JLZsMDYegfhCNDRJifUOK+BAPmgwChDAh0foKFfBefeXLaTnZrKZbOplIsV5Mt+79ysP/5Bfe94kvfMOZTARcNSuKsTjHiIaZkIMzFTGetw1afAjEhHC2DdqGmtTyk0Jwv1hnE0CESIxIqiqhO0qqCjgfYUhESGefgU1yp76BO9iFsiz74he/+O53v9t7F06AnP1q257SpdUXBrtB//P+wu4gkNLNcf/FOb9sXHy64k1A283cHpibtGuxOwu/PHdKq0r3vDUw1YBCxhgVnpWleF+UFRAroCKWlSMCL+pdpSYDCFH52pwjawCutpQQKBB4BFnKcd9SNiDMrVlZXsotzMrCZjbLrTHGGsPhunfmWpUmQrZkLJFBYmJ1zoMqM6mIhhzKXolIQVRVvFfvAAQNgSqCBN1ZG+THuptevPNVJa5U572K81r54ovffPwdv/axh58Zy2AAKuhVUAWQkYgNAApwfUAOHKjEgFciDGeSsXEMAEjqrV0ohuPnCIvNv0D19TaEQCl6Qsh0LWKMIeIQPRritaJxX5tzZ7HOvmiJbRljPvaxj732ta/9gR/4gbIsI8+XGy18Iy4O7SWL0N7cAZxHZNxLk70bSnGh1k/rTQCEuExVEeenk2lZVrOqREZVrZxXIgXyCt7LQtAIimqTHgIMwEoOB5ZpOYOcYHk4XFkaMiEh5nk+GAzy3BpjjLXEjIRhT8BsiBmIkQyzQeRwKwAgIXEIEhVRr6JSnzRQ78A79U59CHDUcClxLQlUvHO+qlxZVrNpMZ2KK7Uqx9PyTz//8Ds++J+OTpSHQ/QCwZAU4J25jjsKAagQIlBjXzEgNUAUpYRAEXaDTWa7fdh84zX/RhGJyRAZ0JZOGvYwEDJchwRwAKoabT5pc3ExB+sTtuNqIm+z2exd73rXE088EeJHLxwt3I9epYtJe1MAnF+65DKgo55fuNem39NopyZmwNrZyETTycQ7X8xK570X8SLEDIDegwv+38QdWtsmEGsDBqgBXB3aa/aZ1RENDWREB1ZXVlaWA3INBvlgkFubBSsQGwYAEUUiYwyxITKGDRMbY63NiRgJ2VgiFgUglqD/q6r3CIIB8lXrRHONFSYgH4qAePFOxDOSeq+++tI3HnrPv/8vjx4rJ8qGYGiYAQVBEZiQERiFUFArgoqgDIfMGusSBBMN4tz+I23JmlogIUF/EfFeYq5/aOz4wbYUTUzRmBOhHJFD+iPvQ6YmjOp/rDz6gcN54PBTsAilX1prH3/88Z/92Z/d2tpivgoRe5n25uzq9rSb8ueXgR0K7L62c2fptFylemUsVqN2nT5TxQOzUSodlJWCV5pOHSJBvU9QBai8SlJ90D0RkbnWUnP2167iDYfs6oiXDRtmOxhdf3B5mGcqaJCWcpsPhnYwyAaWGAHBi7rKAwAgIBIbRmZAJjZsjLGZ4YyIABnQsDFEoOBUK1Uv3oOAqCoIkiIKqCPxKr5yFXiHIqpeqCSjBhlg8Pn7H/+lD3/iyfUpkaAvnEghAogWg+GJAEmBwtiEGNR68IBBUUFEvYIAekAPKEgSfQT9kY/fq2rYKED3oEA44yAAC2pARMOWiCGesgZNFXxtXAJxojsyQFtOfgEAY8zHP/7xD33oQ8YwogLIZaumn51K1HkFLqhedTnTFe8DOCN6ts3uWVN/oILaLCrBvl+VlTjx3vvKD7LMAlauVBVmAhfyy9dBKgDYZC4gRMwIrz2wdP3q0KDzvsoIctIDq8uHDh4AAC8+C9e+DwZ5nnnvgREBCNHXgCXhUkimWp54L2xCUHyw76uKByQFFC/BxMPE4DPCDMAokIIgq3gfckmXWnnvjSMop2NXfuoLj/7aRz5xeG1M1jrnw732XiWcWsYQitqk4Qzqc52SE5pEc9iOXickoOQCr5bJJd0TAAAiIcwFQBC+tdeEmepiyVWdInUuVAwRtvMIolSQ1JPYPBIQP+SDw8TuFMqEwwFLS0vvec977rzzzre+9a2z2SwkzrgQi+2S0FUoCPTsEgBXaSFp2yep/VMCIZI+5FAAtSYbjZZn08JVjohFQJx4pyKw/8D+am1NnMc69BBVHdZnVpEIDckNB1YPDrEqtUAg1IzcrdfuX1lZ2toai/PLq0ObZSG4E4hREMSH+H/xLqi3ONeaEZFBhZkBSEQ8ineqQoQMSJU4FeelYmOZQBWC4zfcOUyIVTWtnCNXufHWZDb9L/fe98GPfvbYBqg1ogrMXgQBm0wYFGwmjWe1FR8Sjr8FnwA0B3S1VtzrgU1HdYGU1VrXVgFRCSMWznYhYuP+jee/MPXQhgEJF/+mXEEiA9IWQ1o67721Ns1LmhYoy/KXfumXXvKSl1x//fUX+RbJy4ewdw4givBLxNH5pL0j0ndDe2POzi91xmQb61D933CVSlm4svCzogo2d/HivDgBZr72umtD3jHmqLDWqYTYEDMywsrQLOc0tJxnFgkP7Ft+zs3XDXJbFVNQtYaNYTaGLbM1bHM2OSJDrcCKiqsPBFCwToXQewowjURaG0oQFaTy6ivxJWKlUAJWKhWog6qCwvnJrJyMebaFs7UT62u//tF7/t1/+G+HN8FbDalGfbScKBDSPNiyxsEIBHVgZWBQFVUbzG2OvnUgGNuUDLV4773USUNDR5rsoc1B7MYxAE066NS4n9afWvw6zUUrUMpVaiQMSYQeeeSRn/u5n2t0guQI95VJZ23k2avQsfcFwHZv2s5lUkN5/5vzxdX5qu0saDtnQAoc6ZeAwcYS8I1FEckoABJ4BQFQVLbZeDypyspYNoZDED8RMaOxxIaICRDIkLVsWAmUxN988/Wrq0tVVU1nhTFsrTV1ElDO8kGQG3UyS+fFORVlCphoogWjdC4EGUEINlUV78U7BAHx81vTvUNfajHFaiqzLT/Z4HIis62nj639u//4yd/8oy9tOKOEiAaBQABESUG9qAhBuEUMEKl2vQITmDrap753LIqIOiWDqoJSiNRPRzj93NEoE1GhhES0wEoT5kfrXUK9L0nNO1pHiEqM+k/FQGru7yz18GsIJA3RpR//+Mc/+tGP5nkeGr/SxcAOb3H/rY90ad/WC0dXTUBd6m+W9wztZuuqi0LUAYARRUHVi2o+GK7uvwaIiqIAYzygA/CAk6KYPPW0yQwQgJKIhMB9IgREDlf9sggQWwswBj87tDq69eYbjDWTaVGUFTNnWWaMAUBRtURgrQKQOkAQ76A+l4CqISQpqPsQpI0qiA+WEUEQUI/QmGUgU0cqXlwFvlTvvPfOOxD3jUeOve93PvVnjx5xuTUqpFgpkXqE+klD5LwXAgaG5tQVhLRzIfA/lKQQVxrzXQcLVXC6QrBXhRGOJpdUt4hwnF4VAImoaEoC1L4HEWndLtAx/kQ4S216nZkNEiJtseMwCN/8yq/8yktf+tI77rijqipIsqtettTeVF3evF5S2vs7gPNIe0Mq7L4X8zdHIeRiQAQRZbb5cCgATrQCHc9m08oJAhBxZmuoQwhB/dzgEwIQgCqNZ5WC0covGXr+c245sG9ZAGZFKaJAbIyx1lpjaiAjNtY2tnBCAGyuWMTaFIOqaIyF+v4vrKoKxIsvynJSloUqGJNbZvCumozdbOKryjnvwWyV8Puf/vr/9r7/dM8jp0ozEHEqXlVB64ij+t+6VQAOV8qErwPOhoFa4HTV+SW98a6b+ZB2dP+gp/fMNYRzm7vo/ECZxixAqQiJkF0/0JiD+ls9TUJI09xwnV5Em9ITTzzxS7/0S5PJpH984Spd0XRVAJwBXemqxHZmn5T6r3f4RlQRyTmvqlmWr+4/aAfDSpwAOEAwxg4GnFlRIOL60Gpz8240nauqIp04tT6elkx8y3WHnnvz9aPMOqezshIFY0yeZUyEoEwYcM6LNPcghvQNqgpQZ7kxDcORbTRsFNS50rnKuUoFCNFV48n4ZFVsoToEEho+9Pjx937oD/7N//GpRzcLnysDGcg9kpJn8RFNgUhRBcLBslbMPrZJda5rdz6kCng8HR3tM9FuA4nePW8I05TSQaOX6H+mJt8QNIgftf6ONaP/fdx5hHjQheskzBoz/8mf/Mlv/MZvxAJnsOwuBaUS8VLzclnT3jcBxXV82jKB+iU778aF04CwF29w4WibbiIixUsB58CBICqooCJZxpnJttQcHvtxacBSli859aqgKMgAqqSARAoqXilEcdaBkuCR16buieOnXnLrgefces21+4aZMZOpL0oVgYFlQgkmIxVkNkzgvVckIiYy4iUc1FKZCVoEDsaikPFNwYMKqYJzMCuhKNFVmFtRX00rBBwtrZIdfuvo2h/dc+/vfvyzT5+YqB2oevKgUNUoK6TYWHCIAMF7UEVDjNro/AC9kJjgpG0hfm1CAQGsL/WlBIujUEzNNVGcEBlCQiRAQAo5f8I0hfgfEnEx01wyg3MGsBf8o42hKQQ1RfRPxVL6YDRVBRH1gQ984OUvf/nrXve6siyx3ZHeQro0dFrLz1V50KG9LwCuILo8VufiK2FVPSItL69sbW38/kd/799/5CNrm2PDWdA5QUNqYo3hntjkHMbmFpQAXwiVV3P01OS2G67dd93NNMxRVMsZlJORpTzPOBt6skQZkrWcgUyJ1SAiAjGoOpESwYGSCIT8boyg4FVdiKDxvqqKSeVmzhfIyGQrp4YVs6XHTs0+de8X/69P3fvQk8c9ZkiDYAABAFCQkG8UMVxJRhzOGXjvBeYO3jgkHeu8xCgdhPoegiD1QqqGRh+tcTbNkpSq5BBs+kg1+gcHQz2wdT0wXyo10HdODscNRFo4FTN9z3Aqt0Iy6shS7PPW1ta73/3uO++84+DBQ953b6pJGbg8VvJVOj1dFQBXCWAOBN3v48s8HA6Kovj4J/7oNz/0oXvu+Wwxm2WDQTgbJSIoPkYrqgJhfe1izERW16MA4h3gWOlz9z8yGGXf/8ZXLUE5nW5577I8zwejfDC01lpDhpTBKRkRdeqZ2JiBovWKpQcQYjRY5/t0AIoqIpXTypWTajaTWakzZ4dDZDOt3BNHpn96771/+oUHHj85nikDDaxh8IJpREutYisRsTGhC1rHWTabmHAcDEg7wDq3+DcZ5uZegHokIZHxC7eSqtA4OyjGFBFRSIYaH9RwGALrX1MTU2Q4FS1zIZeIgZSB9E9VjbfGd3gmoi996Usf+tBv/tRP/VRMLXcF0VXJ1KdnhQC4cEab80K7MVJdBFqoygFInmfOuS99+Yvvfe97//iP/7goCmOMsVmNdQiE4DX4gOuTSgAQzmKp1hq0MSGQH1RyISdYbjn4xD33Hz2y8dqXPWf/kmRLy0PDo9FgmHFOQCoEiCoEqAKETMAMCOEaeOe8TAAzru94CfmeWSvicuYmm1BsqBtng8FGxV/+xmOf/uI3vvTIseNrYwUWyhAVUJx4RgJkUIAEl4mJrYlXsjRQGLtWXzvfhVrwGE5/zfVijMd0W/cT9JTrxOQSBACqAtDcAhN8zE1AkYgooqYOACJyzsWg/s7GIm2uo91D2ysQe92xpcQ6EfHDH/7wy1/+8u/5njdV1ZVxe3Br15bIvLOubS9Jkb0vAM4UWDuze+64HCvcrqrdNHHaSs6atG2zbppQADCGEelTn/rUhz/84Xvu+cz6+jox1zeMM4qIonrvoIV6QIQRUsIOQMSH02CK4ENAqToBmqn58iNHHnryyVtv2ve65932wttv3be63xoUX3nvTD7yooTKZMgQEimSYWusBUR2yupYVVTUV+oq7734EsupiqxN4Ykjxb33ff0L33zqoSNrY8eeEY1lAAoZG5QU2AMpuHRAjTHIFPEuGMrrmwkiZKsqas8kRNBOfx2HN64nbc7EQRt8Q0wnABBxHfWv8/FM9hkS5YRq9yhJbDSFeGgvGO1RGn2kiQMgNt1/fHNz853vfOedd955yy23ONe99/MyodNi9FngePpIFIpnyd9lQ3tfAFylXVKzmoN5AbMse/jhh9///vf/wR/8wcbGhrVkrA2A3tzQK+HKE2x022CpSOAPEcEY45wPnkZEAvYgzJorqEcvltYl23hy8tjTX73jwcOvuOu2b3vBc2678cDK8hAFAlArgROf2ZD+R1UdCGFlQMGLAgIQK/q1zfXDR4586/EjX73/0a888ORTx7fWJj4kMkVSqx6QQFnDcQFQDEl7AEQVRAnRWht81xEZo07d4KCGs1cAXpt9gaqGk75t2awAAcdJVbH2LKioBNsOzS8EbgWGAgACUiOE4k9hUFPbfSq2F2ot2rMyRZSP+UQ7PyXCphXvlDbKzPfff/+v/uqv/szP/Iwxxnsfz2mf6xI8r3TJt9RXBOGjjz56qXk4J8qybOcC57gOtjGMnJ+qLlUl/Xq0djOCqs+yrCiK3/qt3/r1X//1Y8eOBQu4goTQEecqERENuZRBEACAAEUEBZRihR6Sq0uqqgJAm1kBRQEUVBWhYOpgUBb0LFWm/uCSufX6Ay+849a7brv51huuO7iaL4+GWWaIcDAa2GxobIbEheL65mQ8qzbH1cPfeupr9z3wwEOPHj56/HjhS+c9ETKrKqmC9wYBEURZFCVAHwghIJIXFRVGMmwQ67snRSFEmzrnANAYDreNAYTjXkmQDDYGmpYGHb7sHq0CUEBokjpAon3XEf1NTov69G9qIEp3JHEnUefYYFbVoiiqqgqVQJ0Uem7HT61PoZ6iKFTVWptlmbU2Jm2NCyN+TncJ4UtjjKr+k3/yT370R3/UORejyS83GbAz9bntfJPq++mHOBSqWpblhef0AtLVHcAZU1SOzvrxC2TGOetnwwdEIEJrB9/4xjd+8Rd/8U//9E9NuGcRAQlAsaqqqqpqQABFFQCEBm6CBVxlflA2BkoiorWZc845T0QqQqCApIIKqOANeNYKgDxnzxR8+Fvr9z5yYkBfXrJ234Cuu/b65aWlcD8MEgNRWVZbW1tPPf3UpHSFx83p1AMIMjELElpkERanAF7VE7rgVA2ILIK10Z8UwIMYwwZ5ruomwTOqSoTN1y18rAs3fuM4BSKCzfXDGCOgYvwl1jeFpb7n1IAGiYzpNAeJat//1zmn7TPG6T4gEU5z2dM5fZbCHyZG//hNKB979M53vvNFL3rRi170orKsQoPQfi+uLHnw7KQrfgdgrd099p0FSu78yFlXeBZSBBPjbIfOUagEWLDWOOd+7/d+713vevexY0eNZefqSHPnXFlWQVFN8SLAQbiiNmwfJOlXx24gQaH2Em+nUlVRjbHsdfkGAUOK58rX2nGdazOYhZCCFzSckBIvjdSBJpSHmj9QY+qCGtEAAb14ADbGAM29qXVQPGC4Tsx5HwQAcx2RGeUZtOxCc1GhEoL0Gz8KKqFRDQPjI5OpRhmFASIiMhPX9y8keKrJqbG4EmL8T7DDzGYzCD4MxNCRmBkiFQZQ3znjy7J0zmVZFnYAxphoF4qChJpY3igtoAlMCm7nV7ziFe95z3sGg4H3vg6B7QkAvAxs5btkYPc7gPjv1R3AVbp41JcBZ70dSfTBYPG3Dz/88Hve856PfexjiEiEwZ4gIs75qpqv8rbCGHLCdB1i/Rcp+AAMswIGJOM64HGuYYYooQa0w14CmpQLQBwyLWud7C1wUl99VQdlItQJ84PGnkbNJ+8wKGg4VlaLkDbCBq1eGv03XGmQjtV2ijkkUgixuUEBPLZ+mZdvIDXMYAjm6VYbpiBCeexF5GE7faKvv6ffpwPSmbJUbHfiR6EtkIwxX/ziF//tv/23/+gf/aNOVtFYQ3z2ksuAy4eNy4qevQJgl1rzOSrXF5TOZTVrfZcIGsNlWf7e7/3eu9/97qeeeirPc5GQ37M2LDhXAUAEQdVgHu9e+B7/1cQQAT2EIsMgKM5VzhETE0GtZga2AIIpCZTaqBlgac5/iLLH+n91u6gA4RxvvREI+C7N9ViBN2YmRETupNMJ+B47FdVwgMV7r/hlg6cYD8SFa2PqUq1HpG1N6s4hJpR+E1qJKnn6kzb2pY6q3iFsm7ZSzsP4pLPWmT5oi5D4rLX2N37jN17zmtd893d/d1GU/QfPWkE5v3TJGbhs6dklABaqz3Am66OzoM9ifUcezmJR9rXss17ZiMrMiPD1r389hPogYZ5bLxU0LsQGKeq8nh2K6qFGj+ict6Csa8Ss1CGJiNZaT15EnPfUlEm7owDx9G3tSeiYswED7gexAhAcENqkqQwWmPBty3YRkS48G+7RFS9ICEoA0lG042g3ExdQWzsAh0igKCpNX1oqdlOP1juT4D6oxYYGbzkiIkRbE6TtRkrHMKW+Ot9XwPtSoSMtFp4X64iivghxzv3cz/3c8573vOuvv8H71gmDtKHu6rl0lE7cuddzpdMVLwDOdBqSN3a3+8GF2l+/zt0zc9oKd27lLORWSuEha+2RI0d+8zd/83d+53eOHTs2GOYA6sXH1GARMiLsxkajGzAyMLcAKKpifViqiXXpC7ygPIpIuMGqCRKdhye2ZifRmSFBn1T/jZ8j0KkqkhAxMafPIiIhNdsHqKVM0yMAEJibXNJhS0evPzU4v6hLEWsvQnvc6gFpHonytT5mHHI/9CE4nQtonLHpUCycowUctnX5dPH3X4R4kiC2lR791cRAREQPPfTQO9/5zn/6T/+/zCaVIgvbuggU3/H+T31h1vm1L7a7q3Fv0RUvAM4vbbd0dBdq++WpEbR7pADAzN77T3zi4+9697u+8Y2vE9FgmIWLqKCB8vQkESySWOm7kejUWOfTAUBsaZHt/cFcn2XmEMWoIl6kqiqIN2H1bNzbfYi1qSoC17sDRiLuhD/WnCCo1LaZ2C/VYP0X8a39Spsw9QNDV7lOtePat94GkXl3UkUE6rPT9aD1AbQzCJ0y6QhAG20xMXylxfryowNwqYhNW0kfjCayLMt+7/d+7znPee7f/tv/U1oM2stvz2AoJjuhS83LudJVAXB50Q7Ky7nXDapZnp06derXPvD+f//vfyumd486eED/zjsMyYrfjrHgnUXAYANPTR7Yw8G0iUBMhMSs8y0ItG1K2zWt7cDHmBohwpM23t0oqBC7723CYf3fgHtpl+O/feQNCJ6ic8zbk7Ic9wcd7GgqDMzXqZP65vjoxoB5yo0582nAT2f60gHvCJ60m5CsPU1kdrrb6NSZ/ioiH/zgB1/84pe84Q1vCCcMLk996Cp1aM8KgLNbgjs80ntjFxfYZaMdNe0MWDwTSlhSIrQ2u++++97xzn9zzz33eO8DjgQjTISG1M0YMTrFrPBNTG6DOL8YCxrFP16BCz1rMrZTVwboFAAmZERiCw2sxCT1mmTMTzEIG9NE+GaeOadt3EifFZHGzgThKJuoUDDvoKjExxVxjsWR54XoXzOitYKvIVUQYephhvmCjLyJhrsTQtBns7foz2AqElKwTmuW5lav0OJ2MTkhuCqdbmiSGnVqwNbOpuWIjjXHNRCeXV9f//mf//mbb775uc99bjiU0GGg37uLTxdSwboiac8KgJ3n+DJZjn06o6W5GyGHCKoyGOSn1k5+7GO//xu/8aGnnnoyvszR3B9BOX7TqbkDZB2MqH9ViVGVuKg76Z+IgEDQpN4P6ISN8QfrY7Gp7Ik+WIjqeApS8UNUlqV9RSIRIrBCyCEd2VCF2iObfFnf/tvUDKoQ4LF/vLZhMnoWNOGFQDGEVKXor6ohfUJq9AeIfZyPczrgcY7C59j6wsydi7cviomdCgDCHQO1yUtE+hd+xWpb2ZB6tp3w7EMPPfCOd/zSP//n/2I4HHbEcKztwr16qYKyXZnOKC0scNmCw4WgPSUALo5avXtOLjQPu0B/BBBj+KMf/eiHP/JbX/3qVwNjqacXeupk+88IOvNTQv03pH6vmgNNfRGCiREpqbxuEAFEFBQIFBqcnfNT37eOIUImbDhC3mlNCBOCZgo6SyJcrxXqhDQip5WcJ0jNOdsh/08E6yCHGgkR668NP4ik6pvOQtgPxLBarA1N4deYNwNCiogIsv2EneHPVEnvTEEc3r7wnksFUW2ZsOfd7CNjujaivzcKfgAICSHCbgMAVIWZ/+iP/vDOO+/8e3/vf9YmEgwuFl3V68+C9pQAuHzo0uoRWr/mAKDW2g996EO/9I5/U5YzAIzQv/BskSYh4R3luv8yR6AJVdW+XK0jdiC5PTGiUqrSAqA2HmMRRUVE9KLgU9UVICjGqkgYL2oEABWpkRQBsWX/iR2J53sbV4ciCgIhIShIHak03ze05dYc3EM9qqKKYdcCtc829KKNtqIAhBA2Q9p4RwigTpIRDOwwh10FQGptBSCOwEKNvi/bogxLy/QFcBClCvO5AGi2PzrfB/SFaBTqnRMeKVciCiBE9Ju/+aFXvOIVb3jDG8Mp2XSNXXLluj+MfXpWbQKu+DuBUx2w//3FbLHf7i4Z0G3o3DhRVclz+8lPfvIXfuF/d64SUe+dc1UIQOxs5DHJ9BKhPKi9AIsBBRujRMiWnHKCiCGlQ3wiaa5GfwyJmZtfAwCp9KEN6+h4xSCzmE2TfhJCPY3qPRc2qXBKtwUwj+ZsvpnvKlqu1KjrB69GIx4kfTyZ6P5cEyghhNBJBKg9yxFSk1kjRMY2sEbzV+RjPkTt0wCR+fhl/LNTPoX1RvEHABAJ2N2S0NFzns5doKBAxDFJrUahwNra2i/+4tuPH38mpKVLR6wj5C4+nV8eLnl3zp2ueAGwA512ei7oirzIiyMFoNAtZnrmmWP/6l/9K+dcVVXOOe+TfAfNUykqRbZ7WN+6MDZ8H0VFWh6xOZ+l1ES6R8YQlECJ0FDjYoUdB0qTnUcQHg0A1Uhd20wS5lOZ1KsPg6iIp58kJLXuhTw2jMV/m35o11Xbl75NRY0ThBBDyrtEXkOzq4guj1QSQ9sTkw54xOKUgY69KOUEevCdPDh/PNqC0jLYVoTDT6lAxWan2IlBMsY88MAD73jHO4qi6BxdvsypJ8VPU/iMyl+etJcFwCWk+D6fyxLRhE5buP+O5Xn+u7/7u4888ogkzl5I3uRYecw2E34Nd0vV5RVS/Rqgq41CG/2x1u6b/0ss5I3lpOU6jlaLxswyZzIJVukeidJahqmqACrzPPozhchYLbTFGAA0XT6NQUCbvBdhH4Bzt/AClGzVgFA7GzTk1WiJ50RrxpD1biEP2DbQpYMcp2O7tbFYLM3FyWJz00IGOmIgFo4Bux0ZE8p85CMf+Z3f+W1jTPrsHkDMSBdUfbxotJcFwF5abWdOWpblZ/7bp4nIVU6khjyRObxCojLXzzRvb0MMSKAYbk/ZDvTbYA2UnGaKMyCJotoOQ2wZByiJAmo+A5ICau1mRkUCIAWM1v8582lig1hJrWm3c1UG+QHYEjbYpbpsGBgM9qCEUqG4YAKgFgOwDfalwjLtQiqP02fTwekwsF0IbPpvn4Hmp3nTnb509hatQWnPYCrUw69Zlr3nPe/50pe+kGUmXVf9gbpKl5D2pgDovsHba0np63EWAmOHB+OiP9M6U1jZja7X4URVVSXLsz/+5CfuvffPIBjxJYk5aVpZ2G7Tiqom+jtAClLpuEWTS81nQBNQVZBm66CqjZKLnd4t7DiksAUSktMhAXGwyIeLcwERAOf294bzBZWrgvcq7RQXMYVcim4poEfNHtqJEKAHf8kjyaQjIswz2rUnqGuXb6oKsaFz00oHlLGx8qeD1lkYnR5BYvJqmu7kmhYRn/KWVpV+iJ4STQRS+ki9+Boz0bFjx97+9refPHmSueWi73f8otHZveZ92s0reUXQ3hQAF40u8iLeccFFTtQYfuqpJ//Nv/nFcCYTQBW9qgeYm9Tb+DgHdIgXvqgoeACB2oTdEkh9HK8t1AiAGowe9eEmJQRGjGnOurpkhxPowRxinbItVeGx7bqIX6ZqOgKBkgo2Ps/GlwsCKNjLzh9FYBsKKcJph8MO/7FTdRlQVd/5CRHb/gkNnECdY25efgesbL5BgOCiX2CYSqUONC6HpB6BJjJVVb2f75w6Uir9MxUkaUMpNRV6770x5vOf//y73vWuONR7hvYA9Ad6tgiAXU7YeZ/XhYrVhaFUcZP3ve+9X//6fdRJML+IvT6T4U2eP4oQy3SQpWO4b54FomB7gXBXTMJhcmi4t9eBhZZuQOLUjt9C4c43TZ9qx8U8yggwwl8oHhtKq2rX09EWm/T+izTrTnltdhjtTdc80r8DlwBIhPEayA76x8pTXyu0xAD0eeg80l5+2md74frUdhhSR6ikCyauhJRnETHG/PZv//bHPvafsizTJOLgktNlwsYlp70pAC7a7OqZWDbPkatdNpRl9gtf+MJHP/pRVXDOJYKhha0poG+HfVGV68gJWISYHbsEoABqMN8r1J8VNITENH7RYMrX5KxsjSbx36BIt86FtU3PHZmRqrqRYUzCbES7VfXlSlrhnEK+zm2OH2vH3IeKuOBAVgc9EWvcbz53TwOkJVPG0tr6inn8EHG5Y00K/Yn1dCRZOgja20CkbXXWZOdzLP8v/+W/vO+++/I818SHnNbQkXYXji5CE1cW7U0BAG3d9ozWliZ0ps3tvvLTljkrThARvHO/8zv/8dSpUzFcsi0DFuBL5/XTHqWFT9ud4GeO73nYEDSWdGxMNLU7t/7c2IVqfy0AMxtjVCWEEqWgj73coj1wxMYTAKqAiL6hCLDR6ws9UGgLgGhjaXYPTUBnZCausfmzTZloNE/93gkEIxE3wVEaBS20Ib7zCCTg2w917Uwl9nYqccoQW+DbYbI/INvJGEhESFoyPVh36tTJn//5f72xsT4/LbiNQnMRxEBnMJ/ltGcFwLnP7i5rOFNRccEIAYSZHnzowU/96acQkZmqyikIYkwlBimnff0UFkmy9K1e0GpPX06DVfoqYVq+hQWkjcsBwmdRpyDQxqk+2z0QrBkI2e6kTi/qALSusOeBSCVf8iVAywke29W5UySRpklfIJWhUN9t05ZShERMyNi8gHHTA22xim1KlQOoXdNz3sK/UZDE5tKNRUeKhPoWwnosHBqVJP1fp6pOnR1WASDLss997nO/9mvvt9YsOp9xudPl8YJfELryJuOi0Xba7m5Ww5lKhfOxwmqU+eNP/vEzzzwDoAH+QqR8AkYt+8kOnYoQgx1Ia2NQX5Pq4ykkCJWmKwiUHoiCBnZDK/EoaVp+YbUhJj2UL4oiXGgcutycXFUiiolreiDYQsCO3Io/aZM1ATHYslpij6jO9xAfRMTQ6YbPUA+AImrtFY+xNNBzKqRMdvoLyaYh5TCk9U7nqNOjOIOJTNV4O802BbpislMSkmSlqbTo1PahD33od3/3/xfSReCinEWXLV0pfJ4F7XEB0Ieni0BnsbLPB5OKiJPJ5J577kkqDHvz1kHTFL7jl+mr3rFEp6CTlqxb7d3+EYv1twIRC+KDHX5iVX3AStuKzxpjQraf8KVzDgDi4SNVNZaZ0RiLxB0+45/RON4/apuW1Ma3XI9E7Q+oORSVenMArX7FTjfdYgRCpZCQp+/c7gRZpmykZpZgKFPVRqhoj9WuJp7+RFTfPtaUgXhAJBWH6bCEqlKRk85LL+XGnEQkHC0cj8c/+7M/+/u///t5nkEjtuGSUrq2n510NRncTtRBtF0Wjo/ssvBu1l/KyXYFDJsjRw4/+ugjzNS8kCAiQY3uP9h5jVO8WAjr0CBv55vOl6Ee6V7T2D2jm6ISLsoWh0kW/n5hEcnzPDHukzEmFuDkGkjiGKeUNiGhvjSYPf01lQFJAYA60FUhaE/1N6AqIei/MzhhhBpspHAyoMkKt2C3sdCsnw5sUnMqZmoioiAFO9b2Tm2ImG4Hmzq7DpXY/fTxdB5TtlOJnkoRbRJMicjm5ua//tf/Os8Hb3vb9xdFkfTlkqHwGbWLbdPWHpAce1YAnN9J6rwGevntXomImO7/5jdPnDjpfTQ6c0x4AIs06A40xze5Ayt9SmExftmpHNpKYh9H4k+QoDy05QEmtoJUlnjvp9NpAPqg8qdljDEdl2aSxy3txNxY0ca1FqtJHxHq9J8IgNKcEUPEMMyIEKNmk9EKZhZA7AqVziilP8U/O2wkvyqANMc76gFPQ0XTrnUebyRTet64NVlpJbhILYgblNhKsLBpQgH364RRTSbRzc3N//V//RcHDhx83eteV1XVpUX/DvUF6nbFYK84Bva4Ceh8UQf94Uymv6MQXSAKcPfgAw8WxSxGdCBiuJsJFulZC7/pvOeQKH3hfU5Lpr/GDsaIw7TLHechtKEt1fRT4dTvJjYWCWNMP9lk/OyTvHfhQ2PxWOCe6aMeJjkkUp6bNjQk8OkMhSqEY2bp4DT7g1DLvAtxMNNx6MxCOiZpEGd7jlqrMfYlejugly60qWHuk4jNEXX1d2zvVLRNsTbfPmVNRFmWBcFcG7WSMKeTJ0++/e1vP3z4sKH5DF4+lA7UdnRxXuqLQFcFwPmh7VbDRVsiRDiZTO77+teKoohX+1KdxT5sCFoKTv897wB0J71MR6lPgTI+mPowowzo1ww9NOm8b6c1DXcgqa9HLwxZaaw3APO8QAhtZvof0u4HeAdUAB/MOKkLFzRcBtCd8Yj4CNQftLQLae9STrBtV0m0eIgZPtKV1mG782WbtUamRRmWnCpI9xOdBdAn51wUbGnmjPr+iaQ2Y8xXv/rlX/iFn5/OJtGZkfKGi2jHFXHB6ZIzcIFoTwmAM0LbMy2cotVpV+QZKQhp5WdUOEUKInrmmWcefughVW3vrGURni7wtXZ61GemgwgdNtLQjp3f3g6kQlv374PjnOlF2xfseae1LQawbalI+Kkf6SRfS8tvJxsAVcFDe6IVWsDdRWEFlW1lcPplZ8TSDqZf9qcgHQ3YRgz0BgGiL6EzDmmxOMXQE/PxqeCQT4c6PVsgbZseM//n//yf/+N//G2sj4l05/piUn+NLVz86Z+XiVg6d9pTAmAhLUTM8067WQ0XqHVVRQRmeuKJx4+fON68zBFWupZ6iIkxe8af+A02m4DOEdD0qRSDIMGI9BxvH7wivKZiY2G/4veJMGuZaDoF0kdii7Gh/osdP8fkzB3cjNTBtdA+1gfUEtnQtsZ0xjYWS5lMElTM2euv1c7nPmD145ci+HZ40J4GE81i0V3U6UJ8sDGm1Y6icMlEqvLHGCFNEsR2zGja3CFDiL/yK7/ymc98xpi5x/5SyYDT0h7A+oW09wVASud9FtO3cTdi5ozk0Bm9DAr66Lcemc1m2ITrBRkA87iU5oVv5x/ejp/4GqfMpJKgE+XZoQ5AdzArRb30y8B5wJRYCTe5gPpVxWfDOYAO3HfKpI+n0mthhZhsSmKXseUkR8TWeVqqL3ZsCaoGazENu+ybifp8bjd6kAhRaKRIWjJKEWhjt/YEYfO5rjaIjLQk9rIShbZCWGcw9EdPycI9E2JL/wifw2EFIjx58sQ73vGOw4cPM18uOYKebXTFC4AUdnfG986v50UYnHUl2y333UiRRTygc9X9999fVRU0TjlpEq+pzi3FaVPBqBPcA+HPTm9SEElRuyMbUknQ6UK/Lym4pF1IJUe7sCYfAuBCfDTlqvNglFKQTFO/XUiQK+UNsXUsABfZplTDRQVzwI3VdzpeH/2d74qow8N2cqszHamJJv5JvQuctxNpHRtOw0xr4voPznuRHAUI4T2hhs75NU32diLaOZnclBRVtdZ85atffuc73xEO7nVmJ+3OBRUP5wUKrlC64gXAWdNZL6wOrnXAJeLjaSs/bdM7vJYdZhBxMpl+61vfggatojosssAW3P8mffci833UC5TahdKO94coll8AndsMCOL85vqk/ALVPq0k5aHzOfXTRsRPA2O2g560cmgnt0lHMhz+Shmdj2QI0GzcwGkftX2LTr9T/Q/QgH5koz/g2N4QYE/aQW/hpf2O49yJoQoz4pwTESKy1gaLvzZCqO6IzhvCZnDSdRLPS2ttt+TBIP+vf/hfH3zwQWMWRARdUNy/SrCHzwH0SbfZImz3/bnUeXFJiOjkyRPHjh2L2BReWiICwHASuK1/QZKouYULvVeu67+NwBr+7AQLBQrQkKrk2A57T5lJASJF2AQcF2RtS+EsAnSfk6R8+KlpSEAUCAEJUmju9zSUT6IqlSiEbwpiuG9A43hA8AQ3qIeACIwEhJx0CgDme45eZ1tCot/fzhhCkkcoHU9tTuemZaKNPhnJ+TEREY33RaciPIqBoPVHm482xpw5S4RGyaNHFPbAAJUhVSARBdK5zYqJ6nzjs+n09a9//a233uK9U912m345SAJsO/AvLTPni55FAmC7tdWn3cP6dsXOi1To67zbskH4+OOPnzhxIn23nfNMFgFVul6K5L2CxB7djT8BmGNNR35A8j5os+WPn7d7PTowt4NSn8LiotbrSJIUoeIjnRYbnI2PIxEpgngQEU7CEDsCpicyERFUwft5NhtQTXwqGFIBtUd1bn/rDO/CoeigTPw+Wnsi0Gt7LwKJRIkPBiWgIzy2mxpoMrn2fwr1BPSPTMYzYnHwAcEBVAhEBgHCvTugQkCuOReGiKriXDmbFWVV3nzLLX//7//91dX9ZVnuYJDoL78dqL8Mzheli2FvyIA9IgAWwlOnzM4Tdna6xs4tnjvtps7AwtNPPz2dTokonPxCoPY1fwvQtvM5PRfaVLvtnmnnzx2YaymJ3Ua1M+BdTAFq4BuihqgaUt21bjrsVBJbTxXhVKQRgSpFpI5MxiY6WnZ7COrHiBkVRKNGDykj0ScM209lJ/Ky3xdNdgnQFrG4aF+VPhUrlHZmjvRZRE3cALXZJxxSizuGaPFPBUxsIvxbuyKggrD8kJQACA2gEVFEtka9bG1tzmaTsiwRIcvzv/W3/tZLXvKSYlY1mbd3ogvxisHuXvm9Afd92iMC4FzoAq2qQH3Y3T3t5qnwVnvnv/Wtx1zl0hQGMWgvVRgXAqU2WW4SrKz/u53m1QegoCSmuLNdL1LU6NQWqaNqRdMN1MYcVKktLYgYDRELpXhTG3bNWSDhSuF+N7fTBhCxFjwQbjnm/tCoakz/GS5Gw2QrA4loSeclPBs9E7D9yunXFr6PyVDjNx31H5JD2ilkIyIkJxhEJGRVcs5hklUpSo50lDrsqQqBt0DkVVAqUmQkInToSr+2vj6bTcU7bFIwve2tb/2xH/uxsqhCfXD+qL/Uz3u1eBkkszt32iMCoK9aXkJmdk/nIh5iDYhQVeWDD34TqU6CT0QevKoGUIjWA+ihDyTY14whqs5V5lhsO2BKP3S05k4NC/ueVtKZwVQq9L9URVQC0Kh9x2q3Q6iOEt1pPTzYGaVOnYgI2lwQr5jKv/SpKDtTzvsDFUcVk/tY+kORUlTkoyE+rTAF98iPNrag/mgknwFgrtdr42qOJyQ6sxYr0rRFVURAMKKohERqxUHhC6/rW5PptFQVrm8EQiS48847f+qn//7ScLly7kp5YVPqL/UrkfZOFNBZC/wrd3MX9bi1tfXDhw/j/OrtGulCYsiFyzRFPWhSCTXqMHV+7dSQqtsp2kbREiNV0rFNUa8P0xEKUwCCFHHmavL82eB92AH90286zGBC8ZHU0JF2OQkJRVACpTjIKYexNmxf/p72q2+N6bDUGatYQ7qZSPvbf1ATr0z/OFiHW0SMlrEwtiGELG2uM6oR8ZvvFZp7bzyQGPLGg05uyOHVt9x0XZ6NtyYqnhAQ6kOLo+Hop37qp1/60pe6Om3JFY+kVyjtkR1Ah9L3ajdSui8DOt+cXSW7fFbbWmT6eecK48v85JNPHDlyZP56N+9piN4LH/rOwBSGmqo02Nn70J+ad7breMSgVDakjaYglSLvwkc6sI5pKKcCQH0QF0OsDXR5SFEvjkafh7RRbXKodThPRyA0jH2rDgjOUwyFZ+vBTDmPmnUKxNqOuE37G4iaOw/6KB/+DRX2H5ckTT8mnuSmcoljFkcrnvXFJElfOrNN/XGZQT344X4bLWzpr1vNXnzHbc+7/tCQ85uvXTl+6sThrRIgXKFDSPgDP/iDP/TDf9H5MAint/7vQNu9JufyICZb5M43/Z+uaLriBcB2qHRl0dktKVUJEXVPPPnkdDoLb2Mwd8cXXkSM4RStALoruMGXaALqmsI7iAw9dXW77iycmn490Lao9uc0/RMRAUFFG99lQKA5ZMfI9JRt2T7bT1/opricfq+1J7oRN5GpwEJt+Yk4DsyEGO5l0zRYsy9foXeeCxbtAyJvnRkhomD964xtOoax3ThrcW+QCGMMiRniI53jC/P6VVWl2TwgEYGq+Oq6JXr9857/mrtvPbhPmQpAe+ja1bXNtf/w6fs8gAIS8/Oe9/y/83f/7mi4VFUezo3OBYs7k/vspCteAMCFlAG4yGp8Lm2dX1YREUC8yNe//rXZbJrnudbGE2lYpmBYbm4e7zoD4p+NZlf/kr7qfRBMv5k/kwBuR1fqAG7/xeso1P1uRnk2nwisI+6bTxB5w8QYFVvHRcYTRAQIIUYLUsW1x7npOEKI4m++V4RwDwyBzk3zRAgQFVuaa/Mg9SkBWeCcSAVqR4ClSn0HlCGx9sSx6qN/r4Phc/D/SzDgWGuNsYHTujYIZQJLKACEiqACRCAgisBIzNXsYC6vevFzv/Pld9x07aE8o8woGxbg/YLfn7/8m08c+/LjR0s7WB4N/85P/uRLX/jSWYj7Pzffb7+nF6iSdOWcY3OXFe0FAXBBaTsl9yyoo9ydVjs+bT2IiohlWT7yyCOIaQzPvD7vxZigEUtjklZYlAY5AEK60Dt9T8Uhti0MnQJ9hjuatS7aQETg7giSvrKc8hwMQdsNVDR3dDqb/LT4AMHCAdfmUhdNkukjAtRWqZZi3oxS6FqtcWMtF5AIo7UtbaX/zQ7jqc21yVFA9nnufNNJbBd+CewZw9ba8FO0GXpVBmgMWtKk4VBSEQUiBtVcpi+766Y3vfalz7/thuWhNZbyjJnRWAvI3svS6sG/8kP4+K/9h2OF+4Hvf9uP/KUfqZxXEULVK8QNeV4kzWVIe18AnBfl/VzEwHa62LmTqiLy+vr6k08+mXyDiIhEKEqk3qtzzmaGlBsw0o7JtTMsHaiNX6ZICr2B7eD1wk1AWsnCNyotn9YDSSaG2M0+G32GoS1++uWDxSb5srbeAMwbajHThPlgHVeqEGJSAbC+gDPEYoaGwlNBAEP9XLg9GLpHEILarQqpmagvI2OPMMn6EOL0Y+Bm5FaTnZC2Y5zScRBRbC5Wixs1UQURNCwgtfUeIFgImRAQGRBc8dzrVt/y+td9+0vuuGbfyFq22cBmli2xYaylJeTev+kNr77v0cfue+Lk3/t7fy8fLZelR1AC8b3w3N3Qhcbiztre4c8rna54AbBQab0IbZ1jPWf6yA47hqeeeurpp5/WGDmDEHfuqkAI3nsvzgA1W4SwqV9gqNlZWPaLpeq/tq9XjNR5PK2506kOTC9EvbT+FMg63PaV6LlobLjqV9KUBIRweaNicp9X/RQk2eUCwje93GbEtLl/OP5KYQ9Gya0ptWwABBBMjF39QVg4YkHwxCmI53X76YZSqZA2kcaV1g3VAiNcgFmb21SBCAGJxA+wfP0r7vj+P/fq2284kGecDZdMPsyyjKwhNmi43p6JGHEmw//+x/4irN7ywue/YFp5QsL2wcMzooXr6iqdBV3xAgDOq5WmQwsBcWeU3IHORTjt8OzTTz0d79dGbCV+aD6Aq3xmW/C6EDEjFqRQPq+5DSV9lvqVd6AnfthZVPenso+D2z0bKY227Esj7Lkl0hFAxAD0gMEYgoj1xbZhC5DKQm0b6yPDIbglmphi+W0ELYWehUsZ4yP9kqk47IhSbOK+oOvaUW2nZoqdjfXEfcO8Qgg7HF8Lp8bUxQDoipv3D77vja97/Utuv3bfIB8OB/v2k83Z2izLmVkRgakWfiLqnSH/nJuuG15/m7hK0XpVRvTAZ6H+X6XzSHtBAEBP0TuXSs4ImC5EK9tRB1WxTjygX7vva9Pp1Nr6YnTE1lkkAQRA73w8FJZmx0xrTllKI1Ii4nTOGUEblxeiv/asPR0pEmJXIEHh/vgsRP/tkv+k/He+1MSi0hn/dE/QHPTV6CkJyXxSXI5sdFJhJxWmSv28CWiv1eanUD/EarRn/IE2yqdSJ1DItBPygXfEdsdvHHEfmmkNR3/nogIRQ3lRImjSW3gCzFGxmH7bi+/6y29+7e03XbNvaO1wRKNVHC7bjAYGkXNkAwQQrkBTFe8FyEOVCY5PHuXla3jpQLCZKTDC2e8DLhztRs/Ybu1dWXTFC4DttMWFCNsvfEZAfNaiZbvWd1lmu3ZD8N/jjz9ujOmp1QEcaxjyIs75oOWlxRBb+ib2Qr+hh78LGdt5ZzBnqO0SiM+mf2Jbre7z0AHiyHln6KIM6/QllQGpRzTCaDDlN5k9W+VjF9LWO+jfdLA1Gv3uNN80qjZC7U5QwCbhRFph+DfOICTgHmsORnzVsAnQZg0skKmx5nBUENqyIWS0FhXUYAoDETXEFtwy+T//Pa/689/16mv2D0aDYT5a5tEKZ0ucZ5khZlXKgIgRUD2ESRFEw0qAledqunX88IHhskcCIAGD86DaS0ZnhON7APRTuuIFwHmhs9bKz4h2o1YsJO3ZDZp6dDqdHj16NPmmdj/Gz1EDrSqXZbbDT0cfT+uJf/WZT4G1L0vSGlJNPKaPT8uk2aQXqr3pn+HXeCQtZX4HmbHDNymma7OxCL+Ef7B3KiLy3+87tEJsw9AFrrqOk8CLanQgtHwSqQBIc95BWw5BMoPaZHAjIufE+2h36pp6Ig8xLxAzY5PDVKE+kisiLIyMCgLIAIDi9o3M3/jBt7zxpXcuc2kGg3x5nxku22xoM2MsARs1WTgRQOoRCVVFRYlCwmxDOGDZ2Do1WT++dOCQ8wA8P4F21rRQC7lKu6Q9KwB20Fv71NcQLyhL50ZRY1JmPvrM4cceewxbO31FBCTA5mru8Ix49U6JgwGhlVgYWqOkDbMdFG4ZFuqqRVIE73zojGRE/459Jh3zPlRF2dyRDWkNnVPK6U8L9xx90ZUy0zzVxfcdtIRE4qam9vlWILLUpGZCIhCJ25d5tdS+ZSW22BF1fbabM8bGOQEA75UZEEnVA7QGLQqMYBUkIgRUFUWvgKoZgoKWqoSag3hAY7V62c2r//0PvfHO224a5DbLV7KlFTsYmizLMkvWorHAjISEAIoKrICoIohKourJMxJkRoZuXJx4cjRawmwVABBrC5MihpBQVEEQhQX3wywc+d0Uu0C0B0TOnhUAZ0Gnnc6Ls1E4HcWXWYjM448/Ph6Pmdl7jaeZtFZeARsFSxVV1TmXm0yCTqYtU0byGZMm5tgUNNaIpx1s6sArtDERGoSCxogx70zza0TkjqchVXX7TSws0JmgPvR3B7QnmRBrI3jnaEWa2yflP3ah7ybpwHfIzBGGuTP4zTDGWeieDe6MT0oAENKAp4GeRCT1ZTVprH3QAOa+4maTgUESKaiqB/RewKkj4txPX3n3zf/jj7zl5muWbWby4fJwODKDIdvMZBkbQ2yQDVCdYnt+VQ4KajgFh0wIyopoFcpia/PE4eXrh0gs4RKF+bE+iN3fPV2ITcBCNWLv0ZVxCuPCkSa0EB3Skp0P59juwqq2q7z/feD2oYcemk6nqWYHdcxeQJgWdjgXEt3MdcAO8jb1pLaj2pO5M4ymw5i2mP4Kidl6h4FBhE7u/QjxgVK/a/pTp920TLMxWqD4d6Y+xeu0L2mWhf6aWaiqQ6KY9xePijZbhG78JQAQdVtcWGcaLSoiMfdfeNB7771rno36AQZPg8j8lBwAaDifBoDgATwgCIiTAsS98q6b/qcfffNzr10a5HYwWspHQ5PnbK0xhtkQG2IOeS4QERBrU1JtQAMQJUBCAERFYoIBVdXGM9XWccZKgQBIgcNmABUAcPenw3Z+Z3dfyQ6/7vBKnnvTl5yu7gDOlc56HaTKb/pNnyKytPVcUNWHH34Y4+nM+sqU+HsH0dB78U6QQARUu6ljFja3kOegPEY0jyDYR8BYrKPtdtrq1N/sQlr891/1zp+dQ7+YpIgAgJiip9PHBX8qaDt8s8de6884jHEc+vIglS6hfzU4NmIpQnmjwtfWf+yZsDrjGX+S+iLlloEujk0i7URVva+zSM1dzQCoiBBEC6AyILDizauj/+6H33LTwdEgz2i0bPOcjcEsszZnY5ANMgNSMz0ICEiEoPM4UoXmOh8CRCbJ0IkfT04e3jdYpvyAYjhHrfV/AAEIzjw6aK8q6ReUnnUCoPM6BTprSZ6qiudFE4l6Zb8VaC1xBYDpdPr0008zs85vpAoQFu4/7MKQqlaVy3ITvkgTOaT/dpKynXbrs91uBhaNc18dboNja6+dBi92KlnYhOr8Gvbggm0GS4N6q5B0DQiBFXysoAZBRNCgstYlU9m2UMgtpGhWStlrhFPLFdzfTMR2t1taaXrXlMO4OWiLgWDQqo1a3te2OKL5nV+NuAyil0CZRYxWb371C26/6ZA1iMNlGgxsbpmYzICMIcNIjETRYKONxzsif919ASQWIFAgECSw4svp2vTU4eF1Q0UDwOHMIsQET6cd34tCe0PN34GeXQLgtEi9HbKctliKaymd6erZTfmAHUR04uSpb33rW/HLundAUbXssQ1VVbFhJlLQ8PLHtPULpU5HR47/LuzvdqJrYSULP4SPAUHiU/2LxrDJsQN1R+eNSjh2m1SrqhFRmpJz3tPpI+Q5OC+STzts1/oDEh+h5kL2+H1taEv6nVpjYvdTBjq7gY7Y60iCKHtiqI8IqoarDkDEM9f56YK0U1UkwOaIMgASUgb+rluufcvrX2IZabSCgxFbZsPWWDaGmBApCFoFBRGYJ5pqxptIVZAYwq6l3paSEjNrLlKsH8mW9tul/Y5yUA68wzZRodu9vOeu+J9RDbi3/AFXvA/gtJOhCfU39Z0yZ9r6Igg7M/bOosX4Jhw+fOTkyVNE1L7CBeIrRG1rOiKKgKtc0NS0uZ+kE3MSExdv16MONoV/FxqU0lHtWDO2GTpsbrtqWX46eKcadjkIik02+QDc9VCETs1ZrXXS5PFmexDqUlVEUsAOw6ke3R+lhemX+1p8fHb+jZcgqABAkxvNmhYxTl/HrgW9FZV+31nGkf84GgAg4hCVCFOLl6qqelQEQEUBUkKXk7z1e779moMryIxsLYFlRLbIGTfRok2rEBefxAgCxLAdAAq5RgkVQUQBweRA1rJaN9k68RT6GaEqYrNn04UyYLuX94LSzurdHqArXgDABbP9nXu1F2K91m8ZKBt+7PHHyrJI+ERVUFgAEPHlUYWqct7X76mq+uArdK6D7IgYULjz4nX00PQcL/Y8tBEo63DDRLoYY+J9syGXWTiEFR4CQCaOR3A7bETeOiPTT4eJ9WYFAEBE421idW3JEVxoZEhn1lLwjXDQGdi6MkTs+UIw8XuHApHJeOZAk31SFBmQYHojKlrbqRSVkmeDMGvdfgONDHDOiQTrP6XeAgBQqU+9KQKAEPoX3n3za152JyAim8zgwGhuiIxFMgh+Lm1EoiwNziXV5uwwABADIBAhccMNKRpgC6AZi5ttjNdP1glMkAAJEg3mtHRe3v2d39M9jP6wZ0xAum2KlQXFdlnnbkqeUYXni0JPieCrX/mK9645/wkA0KiVO5CKgHM+YK828eB1LjAFpKjbwlxqzN/JWtmHaDbpKf7pREQMmiuqgsFlmEZMxuB3IgRAFUBkJBCpxVlgI6kn2E+2neJE4NWJMRp1F+N2ATCMF0EcvsSW3alzuw7OFx7Wh6iaXzFeA5AOQrTdi8jcZaMtBG8qEQWRAIwIQVhoEk3bgu/6QYrqc1pVUP+bTQAScTAhxq4hogIIOAAmzFn9AStv+65vO2g8IoUbYoSMgGFVFFGyBExIQKiqCgJKdWCrAjVmtmaqCEEJnRKqsqgwKJE4QkUe+Wp66shg6QAPjUdGZQKPIAt10/7r1hmE/iPnTuk7sPfoihcAfRQ4rTzfTbHd0w4rY5eLJoJIZzXvzGFRFI8++i2iee5fIhJsZYlJlVBIlrJzzhhi5KjGee9D7DYRBJNSo6SHI6miTaaa5sOChGgpwx0tGENeivr/ANrJfGJYUWC8gY452DdX3KSWkO4gxzGMkikdxqivp5PSsEcBhBfOWkeA9SeoKZ/e2VtzH5CdG903PQWN82MHikjSu1kBgEAlBO2EL6NNvyWWt88c1+lpVVVhm6X1zQTNiBBpveEAADXorbpXvODuu55zi3olIhOEDYaL2AQoGM0kOA7C7ITY//ko4fwECgAA1uIAidFDMBQRsSoaQHaz8akjK/lQaRhE53bng3d4I/YqQF9o2gsmoAtBF1mvjy9z/8uFREzj8fjJJ59I3/M0Z0AftlJwEdGqcuIVNGSUAxHwToKa6JxUpS/LsizLRgNl5mCQmcMcLDoYVbOXGoKCul3fStbBuG73VUOAfKPA1sr6PC5ct6Fk1GoRlWIlYovtBcMPuvCnbuUJt5gQEWHyKgWvTHguZPdsYjRbDyaTBandH9tGtj5X6eSmg5A6G6CtQ2hihtLm8ve6lVClQriqhsVdv5S9+sW3kyvq8qCidXioqioGkz+Kqg+X+gICzGWVhtvFoj8XARAVSQABkcJCavZpjDowUm0+48cnDFRNEr6LjeYX+X2/fOhZKgAuw/leqEFvR0x84sTJEydOWGvmeNFE3aWwVatuvdq8V+e8KqivbygJO4Oqcs55EfVOq8qF0PKEwZaymW4sWpwjAiACIRIABTETSBXCIeQF6mqthfdCP1Ug8ZQupAhwQSXt8xmkYxo6ubCSVi/mexdNhet2HU9rqt2fiSM9xeII1g17EmtqvpknBQrOkvhg5AeSNZNyGPcEUUgvyrfaGX+gsLcDyEBefMeNN+4baDmucV8UFcT7xq8uoqLqAUTV18q61Lmy6y5EE1nsOwJS7RZGIqSoEIABl+l0fPII+AIJFEkvlyjQvU/PUgFwGW4Yd8+SKhDRY499azqdprEuRITUT+epDR61BEyIB2/8ixC1VOe8c+FVB1BodgCnjd9vkwQQQOwvMI2YMAcy1WBAp4j+iVYbbOGJxrqImqcEUIg1eD07mBs53yH2qdN62mincLrLgaZLSUNBI5Y0HgmSgJzEXhS+d6peNY3ip3irMCJG602K+LHdhd2JVcWZSschCoxGMASvBRzYN7rxmpVqugHiQxZxUAEQ9aLiIZilvJda31fQ2rGOANjLWwf11kDS6CAkIuLa5EeMBIa0nK5PN08yegQUWJDNezvqdPMqnRFd8T6A/kJJ39jdP4i7C7Y7F1oIJTuztF1NiHjPZz/rnAuQUdcpGu0nvdpapqHwk/feOTJmfgFhY7ZV7z0zAZjEGIsRG6F3s3xHrdb6/3xHw1BV0eZeWawP6yLW+j30rBYJ7805JSJVIKzt0L1xazAOQ+hnkEPdREOdLHix86niHLy18fvUo5BiTZqup43sQk1Gz85mQpOAhY7IIQJExpYJiBDVe985nRfFZ/icirTYr7RrsafJekhaAQg30uSGD+1frcpyazyeTIejatlVpYoX75FYvFMmJRRUBBRBIgJUVAFsUjxp7WeXZi+IjZVJGxe8Qu1HUg1bVGKUDGWy9ky+tB/tkoJBnPdlZ0pfk/Tz7kVIfHaHR/q/7lz+SqFn6Q5gO7qgM5q+k3AmQqUFzwBEVBTFN+6/vy20QonFNSfOuQhGpKohLjC2EtsSCeAC4byYc068qoD4UGzOTGQsfRwRicPVh7VaGjXfBj1D5EztkNB2WHn8HPiEkDUhRKkLNH4LbVhtWb21tmcFq/a2WmF8e9PpSME9KvidMKeIvGm7cWATObEw02prgS3C5ZaHIIiThaKi82W6z0h3J3FbEPulc90/hAb5ODGGaWWUW0PTotyalpOiLMrSO+eqUrxDUFCRekOgqhK2LD5sAOIYat03bIx9wdBD0MT5a20sIkZiDkHByGhQYLpWrB01Uqn6i4mtC9vabuV0ls2VTntTAJypwn6m5TuIfHEo1TpPnDjx6KOPRqSoVcW2VQESNJlb5mGukwWAiFeCpGOgczU/ph6Tth2/1X1p7/3rH1VVvYJPujBvAeY55ubQFvuITQa30Hi9ZQgZxrZ7Y2sHNSWnB+Z19kVFWk/Ex3SoO7ipjZoPiRjoY3faRJygdJQ6AiaVMcFRHGQY1ccgYnIFgMTrHgVA+CbY5wGAmZLgotZeM2VGa9BW1TlXmTWuLKuqGs/KzUmxuTUtiqKsirIsfFWJdyrixYv3KsENIFIH6tb/q0cpWBZDVFBcDW2lB5v1SA1vTDIgX24el2pKUUU4W7o47+YekAFXvAloIaVQcnaPwwVwFKdw08G7nalTjImOHj26ublJRN63PY0wf8nbz6oq1PGOzTHgUMw5QdSQLywEbtSAi4AEqqnYmPv5wueOk3OhlgqgAF7DBetIoCmG1lH+CwdcVUQ9QLilhCFB7dhWC1ASS3f9oc78g0EfT9lrFVsE4v1WoqxNM1r3gzLTJlrjFuaOud1QwMD5uSrvywD9RCFtQ7DV1KIrDSXS5gaIeiQVENEYCyDOuTjv0L2TMlRFAOEsWHBXqM0yAFrb2FrJ7erAbE6K8dZsujlbXipcVrqs4qoCMkwi4kkIEJszJ4yAqBJ2XBDAX4mAA09aDxEBiGJIwRTWEKEAgANgRTRUsTpfbMw2jueHloVMkxy0iSADAKULcYXk7l/Dzit83iHi4tPe3AHA6YRz59dUn+1psgvoTDmJT6WYctrVs03TQkQPPPjNra1xx3oTVPPT8tNnIAnDn7MUNNSEmbl1KIJjND0nwAfBYtPBdAzRhCLRLh8fiQbu8Nk5Fw4ne2ndZNJH2M5cNOxJm+fufqWjpKeHpPqH2hbOe3QkpEO6w2xGxiLzwQMfE1c00rcWCVqnVFNIPDex/pSfaImS+jYYNoZVNW4IktmcB+w2c9T0CRERjbVF5Qqvx9fH00rGpduaFlvjyWRrXBZFVZbehU1AbfQBqPV+9V7CZRTNkeBG8sxNUnGcAKCJIlXUECEcEpfX+zZCnWyclHKrERKdBX02joHzRf0lfd6buPi0N3cAuyE9EwHemfuzo/OyYlQBCR968KGguzW8NYsSGjdb76mUomU5haSIQVo7TuOB1bZZAxDqHUw4Hcbh4I5KUFfr97Y+79XwNR9AnLMnyemnDrIDIFJ4BADrwwH9AdS+Xj//LTbaNfTXPLVRu6P7xw+dZ1PVr/94RybFfkFjromYiBgtYM20JuMgIgBz6396mXOvUQh2fFU1xjRnysKvbEzrRkmopySVmkAAxhgkmpWlIG5M3fHN4pp9o7XxdP/WeHklHxXLtixMadkYIUJC7xxEw9V89YU7BuqKAXC+f5y3jc3UAKBiCNoN60iREA1IUY2n64dHg2UFhvoqG8X5ZQYXijoTd4EeudzoWSoAcHdGmA72XXi+dkGoRTl7/InHYA6aEePqItv1q9+FVK9MvgRVYG5dTR7LqyoIAqJInZEiXuSUCpW5SAJoTEaQGOW7ZhNotNQaSZsUCNiAWfryd2VSqxdBYtTmsBSso3TZTmHXJuAnNdaHfzvxPK3RWDCA2PkV2pIgiIP2l3XeiJQfIoo3iEW2O0s3nDgLfxpjElkVEuo1n+Y8h0mZC3gAzTJblU68B2AHcvjU1k3X7F82cmpzvH/fcHkyy7LcGmPYMBv1LETofagFAJtTCzQ33AsALTTrIWKQdXOVBRFIEZEQ2ZDPwLnx8Wp6QzZYCVdLQnNVwBkJgIVr+yp1aM+agOB8TLwmdH75WQgcO1DEFGY8derkAw88IOLjBr7Zkgc+W6p9+vgOlWPreFGNvMkhA4hnZecABAEZ5xGK0bGZMpAOYKww2C6wbVRtDU4D+KFtqGFrAc6mGnp8XJLo2DQMHxpNPB38lOeU2x3aWmT70r7YiODbGRMRHw9YYIPWqfzuM5Z+3148GA4bh4x78Sci9N6VZem9HwzywSAHkCQySgN6EwIzG2OqsqCAxcSTwj35zMmpw0nhN8ez8XhazApfVa4qqmKmzqkXcV68iHfNCQbtsB2XYnuZ1csouKPC8FE4GIakgEho0WM1KTdPkJQhudUZY39Cu39zO2rBbh7c+bW6ImgvCwA4f3b8HXTGM6qwgy87PkXtNa+IKuLyLH/66adOnToZEyZDhJs6DmixUt8PZ4yU8haOgCEmQI9BYetBJM5hrvP+pwy00WreUIeTtABiuJl2fvehis5vPN5GjqatU3OjL4Ubz6X1a+zpdvWkujY0OL5wAFvj3+5FZ22k0ijgb6wwPBfgMsqVKE40SRyUjklTZwdzIXSfuUZ5Y+iv//W/9su//M43vvGNw+GAOWaqEFVhpizLrDWqQoSMioQ33HTTX//x//F5L3n5qUmxsTXb2JpMZ0VZlL6q1DtxTsVD8AZ4rxoDQ1UVQmxodLykMiBIulqQN9+AhJRJgkjIDIRMYFHc1gktxgQ+6B4Ac//Cmb68O1OnttNi+vlt/ZLTHhcAVzjN7R7hbWLDh48c/vCHP7yxsRHudUqThfWl1HYyJsLHQsGmzcYCkiz/nXrmUqCtGkPPANWRBzsInhbPCtgcDujDblphp/K0WI2JBEhAPIfv1CyOiwz30BNL2lbtY1Lr/oHbWL4j/zrV1xuVubBpSRHpHucGRIwJtKHeRkjadCqwA8SHXH7D4eC73vCdf/Wv/dgHPvD+d//bd33vm793tDQgBmtDElnPhIYoyzNjMB+YN7zh9b/ynvf8v37mn/7o3/gfxA42J7ONzfF4MptMxsVs6r3zvgoOYe+dqKiIVy8B90FV1blKxGOUTy2JGDvVmKfAhBAfAVEEJCZiS8zVeLZ5HNXPg3/rcWutqPMCxwsrWfhq7D26KgC6dL5W1XknIpxNZ//8n/+z3/7t3/ZN3IW2Q1xi6EcPr7uaeKebC/Wg+ZcKEaOTksGW0lKT08djzR2ITL/vsAQpwnKM6298h+1LLlNB0oH+hB/FEE6Y4Hgagx8aTUN6+iMTVfL+cPVhIq0z5bATaBRCgRr9vZFYySUH4YhGYDhe3NiRf1GSxYQ/9cYCEBGNYUK88aYbXvayl06n06XlpR/8wR96//vf/4EPfOAv/+UfPXBwPxEgIQIYYwdLw2yQ/Y2/8dd/7QPv/843ftekLF/yyle+8nXfubE13RxPxuNxUZRV5crZzLlSXFVVTpyvc3SIiA8CIHE4YzNnQaDXo5raJ0HDdZXITKzB3IOMQEyYkS/Gm66cYrP3BIA0R9D5ekn7y/K8VHul0J51AndUwp2LQR/ydvHIburfDXV4aEjaZQCRNjbWH3jggXABgHPO+16Cs20EQFM51u/RLlxkiF0ncKO4pWePIbmOGBr9DrS50xwSQKx7lXhT2zX3xyV8WeeRDudQg+YdzR6duejUo8EzqQCg0emq23jI4xh2PATxrgJoixnoiYEoOXZeFUkTGvcBsR5mjpGdImKMScVqMPSHsF1NzETMQcY4AAgFFCRIlDvvuPvGG27xDgC4LLw1w+/93j//pu9584MPPvixj33s//w/f+exxx4vnLv20KGf/Mm//eP/w08ws5vOSNWZ4dv+b3/zwS/eW1XV5sbmaHk5X/aDYipMjqxR9ZAxoyAiELCqVAoCyOG+AVARRaJmyxK2OIh18Ght0MEYlISAFPRRVFVgEOO2ZHKChysClsGjimJrhC+0ht7XivaeeNizAuBMaRsU7v66mxoinekC3UG0hD+3tsazWREiQ/I8916Cl897z8xUnx5aYIrBuVPuDHwV8VlEjIEY89e4/pWSh/rZEeYCo6NrR5W20+vwp4jMLw+YxzghQLzrqrt57SN7OhRKXQ06NrdIbHS5iuq8NrkW+g11Rh7bHoIoSKIsCTjPzHOlGTD1+2hzU0K0/EQ2whqI02SMaYQBQOINyvLsjW9849LS0mxWRDbLohKRu+66+x/8g3/w4z/+4/fcc89sNnvhC57/ghe8MKR/BQBFqry//c67v+t7v+/T/+U/jrLp5vrGaJAvmSVjHVYVEYJ34g0iIbGKCCEIENfpaUU8Ejc96fhwsRHJonU4AIQLZcKuiJCUlLyfbp5c2nc9WqNAaYgv7Prl2j1q7z1w3w1dFQBXBqmqMfzNb37zxIkT4bUPOGitVdWqqrz3goLInQe3Q9jTLve4mwhqaQisCV+E7TtAcAOTNod7IarGMdVvkBAYTB6AiMSYROi35FNEZ03cnpEfIgTg+ZmA3pWQkABxT/ItMOUHSlX7MLAdt0cqCCPuL9zHRB6w5e9tyYPYtZQHbM5bdIYlznI8BxCZbMYk8XUno8fIAIKIN998y5ve9L3OxfvoayaZuSwrAFhZ2fd93/c2ABDvy9Jp3V9UEEWsvH739//lL9372a31I8ubW9PR0pY1xmQ2LzwjMYkIiicV74UAkTAo/hiMOcHTgUq1KgBapwaiWldADHcHNO4uaZ5HRDLoq3Kz2jqRHRgKEAEiCOwO9y8c7bF9wFUfwE6UvmxnV+DsqL/IEEFVH3jggZC6p3nzNZ4ACrYCbAArBpO06zmTjbO2kBTq2NC5wboJuA+Xf8wBLpjdkZAoXPKqiEqExAD1HSGCbUM89ByeHZiel9TaMQBtRE5DdNIMnWltadqGSCluQs9wHx+P5dM5grbk0MTBkGJ0CuhxdmKB+LkzJvHBGDKbRiKl2VjTwjXDda5l/O4/9z13331X2EbMJzbpuIiWZVUUpat8iL1tjDakipXAwVuf+/o3vXXmdTKdjsfj6XRWzGbVdFyWM1eV3lVQHwAWFfW+Thko3nnvVRRU6qxwAKAKzR2fgAyI4ufXkSJAlOnBnEigRspy/SiUYwDQnnKTdmeH13C3C/50tJdwP9JVAbCATrukFpY/93ZTpOhUy0xra6e++KXPe++grZa2oYqCmTjknAnWoe142w7UOj9FQ3NKRMSNeRfDpd/hNQ6gH5iiWmBAs5+oAY6SqI5eus20U32Ai9Eykb0UvjFRriExN3U07k4HO1WltUWWUsCFRkL3hPQCAZaWiQjeryRtK308nY5QQ5D02r5lbG6VQgVURCCilZWVt73tbcbY/gKIjc4bQkw9tGGSAXAm8Lo3vWX1xlu3ZuV4Mp4Ws6KYVuVUnFMRUBHxIl5FQkoPqR3CCupVfXAGBCGW5ipHREXyKt77IPSA6hCGuteqAGpJdbbpp2sEPqgasM2wL5yRzpDuLAnOVE7sDXlwxQsA3Ybir+dS+WkXze55Oxc2wpt5/MTxw4ef7rgoIZEW3ouXWtdjZmtt8Cim2eTPsM15Lzr6aRQD1BziwXCZcHrzTCOkqKH5YGrL8AI7af1zfjo8pJKpg+bp8536+2IjJUyUfW27B9IB76B2h1dt+wn6v0Liwu0LAEhALWU7/TMGJkl67SUjEYYDIoj4gue/8FWvelVVVdgWJwtXdaOZd71Eon7/DTd/51t/aAq8OZ1sbo0n06KYFa4sq6LwVaXea0gqrkEeuJjEScXXaSpAsDb1JAOoysbmgwEwKQZTIcWwZ2ZEYiKyUM7WjqKbUHO8G3p0Li/ps5yueAHwbCBVZeb77vva8eMntlvrHbCIimGWZUFhbFINb6vA9hqVYKiNImQRAkY0CY6BeUKhPuQ1DwZVsL4hPkUlaFT4RN+v8wvMrwVulMS0ibDp6YRywqLrX9Jex8c7taXDkkoCY0ynfEfViMgO0JJqHSkSKTloPS8cJUfHrJ/KiVgy4bseh/AlMzPTm9/y5gMH9qfnk5sR3FkdaRUg0QrMK7/rzTfe9aJJ6TfHk43NcTHzrizFOedK8V68qJdwCZCKhkvAAJrj4yHXTx1FIHEZhDtzkKj2JSFykxIOAAhU0QCxJZHJWrl1CtUv5rehhYLtKu1Me18ApK/cGT14dotp963snisiLKvi85//fFEU0RbRhZX6vMwcCOKv3BAkSds7BL3+Sry6AyBcDRhZTUwZAABNKscU7Gp1siMDsHnPa3cFqM5PBs071WJMoYEkSQ7G1WykAiMF9LQjHdSO25FOme14wMas1D+c1Xm8j9fxc2ey0lggaKz8HU7SccbEgdwRVLUsURHxRBAEIREdOHDwLW/58+Ha5zYbulAGNKfuBEEJgbB2+hCC8zQ6cN0bvvf7BM1kMh1vzcbjoirKqqp8VR8MVnEqXr2qCEgcAQ3HuAKzza5Q54bBZumFolDbDQmxTiSnSIY5Yz/bPKmuQFowv306i5f9WUt7XwBE6rzY2xXrvLq7X0yx5MKnFgJuR5Fc2JCqItKJ4ye+/JUv11A/byvRCmt0nCuGHdt6/UK2T5xGfjo5I+uyTXCOKng3zxQUEEcFEBiBEQiBQMOhrfrxeL1tb0jrTPSACighaXBbTkS8BmiuDGhQr4uqKRSmnU1HQJvAnrTwDnMXJyWtZ+GML6yzL346jKXipxne1oLpdyoWg0S6p8vJe59KU1V9xcu/7c477ixLl7Khqogcs4ykNWD9LAOyAilEJ79ldd7LC1795256/qums3I6Ga9P3dZ4Vs4KX1a+nIkrRJyKRy8QXAJegnOgWVwhX5AHEVIlnPNT906BABXq+w8QWQAYlAGQTMYEszU3OQnqQ5YQEACgmk8AXPSC6iJaOI+7pP7MnmOFlwM9iwTAlUtEePzE8ePHjlM7USUEnalWtAkUO8se2pbf+EiKjyn4tmWA1qd5FAGoztRfZzFTamu7qvXlHbr9HqiRWQGnIg8Yb09sOJFgTUrji2rOG5MRtg0gsYmO2NOenb0vJDq9wMTCnv6U1pzWFj+nX/ZlRif5BLZz+3QmKHwObvxUMoVNWNjM9WVSPOkWkkJ/3/e9zdqsg1k70HYlFTQkZhou73vDW74P8uVpUc2m4+lsOptOy9msKktXVVVZhrxAIt47F1y+2mxNRFwcYUkuvk+b1LDOqF4TIVQAEQEUURn9dOMU+hnEcDQAmPsVdhK6V2kHuioALkfqrGDv5dprrzt06BAihh9Ve8jYgM8OWk9HGGwHo4FEJGhm2mwHxENVVM45EQWgGIlfYx9AdCU2tQUwjcAHtZEKNd2ZQLhaqv4yuAdqcYIJBX6xNnBzivLzuhY5dTsSLuJpR0xiopBCGxC17VWGthknHeS0/lhJRzak36c17DBTKcUdQGfWgi8+eICfc9tt3/M931NVZcfCBj3abvbnBQBFBQFK0ee9/NvvfNlrNotqvLUxm05mk2kxnYlzvipdWfiqFO+9DxYhH6ODVAQ0nN5oRilmu0tGWOP+ppGQ0GQ2RNCMUWYbOlkP580hvALN6US9CvdnS1cFwGVBOyssInLwwMFXvvKV4URPB0cQm8tXFhD1wUVbGN0SA2mjjY6GMXpPFUTUOV9VlaogAqA0NSAQtExS0ZtHYWsCRFyHDIVd+xwrpVblUOeiLLnIEBFrK1PDWAfHOwOS8p8GIIVHgvBIS/aFBLbDSbcTqOmeAHtbB0hwLT3K29lJdDq1UFoESq+T7Ls9EJHJILD3/k3f+6brr79e6vvXzslMoSpEwWnAkK98x5//IbtyaDKdbY0n0+msKIqqmPmqUudcVbqqVPEBl4MYaC6bA0SNXmGAOhVcp/uxIwp1zFczPcDgjZbTtaMgVcwPXduo4Mo3xFw6ehYJgPTt3RlwFz7b+bBDmYUtbsdPqjBCooq2H0QA/If/8H/5uZ/7uRe/+KWIHA+O1h1pG1XTRhb2dKHSCougsA1MCoAiIF6rqgpH0oIYaJJBtlygIUS0ObpVR23WlqJOo9SCvJg3DQBUwXsNqU8xUdLTIMvOh4WDnGZXTpuO9nRI4L5/hq4zROloL6ykX2ennvAhZHxrouf9DgardJ2kAjtygnWmIDMcLL3t+76/X8kOYm8HCmILgRSwVLzteS974au+Y8vB1qQYT2fT6Ww2K1xVOVd5V6l6FR8MP7Xir17CN8HN0PiCg5soGZx6juaMxUPaAKCAoBm4auukm64b8InS37nvbGEX5rT7jndo4bt8FvVcbrQXBMDudZx0HZxFK+eoTHVqO6NWVHWQD374h3/kg7/+wX/1L//1a7/9daPR0hw1RJFUwTdKdOxgd8XvDJedFqN5OhEAAKoiWpWuqioRiQ64js4OAFAbdeOt5WkQyzwUJDKyoOOxYC/zforIEeLTSvo+8A4Wxz+15VNpIUUKoxGCUxDvh3J26onPxlbSfwMtxP0U62NbCxNXxM2KqnrvX/7yl7/sZS+vqmrn+d0lIUjwtSIoqGI2fP2b3za45ubNabU5qabTopgV5WxWFYX3TrxT78RVVVV4VzWmfwn/k+DRb5LfIdSxw6mnJ45l7Q8IJh5iRGDUDKrZ2hGSGYLUG8Z6Ks7/TfHPErriBcB5BOXLm1BEZtMizwc//MM/8r73/dp73/u+v/k3/+Zdd909GAy1yRoGIdECRZ/AIqDfGfpjPKBARwCEk55RzQ9u4ZhzAjq6lTaXj9caHnSYaT6nE4gpOKoCSDdHUPpvx4COvQ1QivXRp9qRCh150B6nlpVszmIb5dOwqzREp9WrxFKU7hsw8dnEp9LOYuJ8jnKiqXAuXVI23vrWtw4Gg7M5+reIEFQRBYlAWF3l5YbnPu+lr/vuUnFrOtuazsbj6Ww2875yVVWWhXNOvFMV0HDeo7kDLmwFJN7vVk8AgET/Fcy95VhbjUABSCBcGAyG1E9Oucl6iBJVbCTTVTpb2iPJ4Dr6F0BX0et8CYte+J3rP6PyZ039jkCt3MXMYjCbzYwxr/y2V7361a/6yZ889qUvffGP/uiP7rnnniNHjpRlGfRrqF8erW3zdccxALzusAVJPotoMDsnCIWIiiBBcxDx3s+BrGWYqncLDpto/WD374uluA/AcDdUxHOos2NKcnd8HKU2Cs/HTbt2nvArRGsYtncPsZ6Ogt/R07W1fWnNl7b3Fv9/9v70SZIkyw8D33uqZua3e9xX3pVZWWfXXV3d1d3T9zGYmQUhJEZIYGV3+XGFIvuH7LeVFQqw5C6FS3ABYgmCXIwQxAwwwMx0T1/VV92VlfcVGXf4bYfqe/tBzSzM3SMiI7Myqyqz60l3loe7mZqamtq73++NafrFX4vBWylQ0YwoVvZOXrdoFmDW5U1SRGgFAMtLS9/+9reNMQ9wu2ZbhwFYAFn5r3/juxff+qtwdyMM48EwDAa+9j1AIlSetuykoPJSaxHcLaGL9itIkUAKa5vCDLqAc3q1/EmRaziWLoEy4aCzXa3MizskhZMuSpUv6B7oMREAju6Jvx/EAfc98SApctcTDzp+8uBDTJlMJ1L5YdaKtQYRp1oz3//eH37729+/ffv6T37yk7/4i7945513tra2cj4CwiBAAAJkgURYCTNLogjEael72PRuZiAKXHgt7aTIAjY7jEVAUFDAYVCKuDzRCWc35MhrFgShULU6KpsFAEXAWs6bmOdWyFhwe2/wvFciuCh1WlYKqTgRABTOM/oh+35v8ccE7SHPdJKPj5k7RRlQHG1M3oxV8OGo7u8oL112fxZj1znqg0NPY2EkAZS9qDIygHzr299aWVmRvcf6SYlBkSsIBwVACJhYmF45+/w3vveT/99/nwwHkVceVqwf95QyokrGWNKKWMRaUQyAjIyWCMS1gxQRsE4+Ob+lAEjaXR5BEaUVAy5NgBkBlIsfo5CCEkjU7UCrBxUSAAIGwMQ1FD7gFsYe7oGqz8Ev4NjefpzosRIAvz+UsxtrmTkCkJXlY//Zf/oP/uSP/3cffPD+z37+85///GcffPDB1tY2swCigGGwgM6Jw6BBsavXRJE8q9qxDAuZNsWuEZiwpO5ax9fAfczZV/afDKuF9jggulAe5sIFcxaavVTg+DUV4J2dkVDEj4NR/09BJEAGKpFy/+wl5SwNKTWbRBgPldDFf4srPPa5yNzHynfHReCoVHA1HPsO637K7accILN4ZF4CwsxKKUXK2gQLoNmIWC5XfvSjHxGRMeaTaMQHKVKpmi3AIq997dvv//JvOzcvqn5Pl0j7JUKtdYQJkcIU5sMq7XZDatgwAjlY8PQqqUOR0n3hdIls2Yo2WWpSIqJCSeJhd6tUqSVAAq6VveDDtACK9uVBC/WI0hcC4H5oTH+8jwPu9UJygA8q+xKNscZY3w9efvnVl1959T//P/3nH3744c9+/rO/+eu//eijD3d3d8JoSGIBMEElgJ4wCDK4V8dh8whK3vcFwGn76BL5i51dU2++e62JlIAgoMv7QJQ0rR8RgIslr84HwpzyYkR0WEPuNc963Oc3thdV3vety8uSnRigtAzKsVG3MpA5nfKl2t/LjwVcubHvYeJRjvHlSYExdpX8gGL8tjgsFrq7AEDe/XHsKo7XO3hXz/Myx0xBdLE8+8xzzz77XB4a+eTbb19CBGu5Pnviy9/943/z3//jMInCft8PtNLGV31UohAJQSklNrEImnwEFAEWdGYAoNszblnSgHCuRhASgLAYyYoYnOBzuoUVUGTj3napNav8pgUiEAIDsD9Y9Bd0OP1+CYB78hE9qMvte6GjSIiiLgmjr3Tx9Mwfkr4qzAZAtPZfeunll156+R/8g//95Usfv/feB3/+v/7Zb3/642GYDC1aVCKKnTJHTkNmEiEAUwwDIKJSYC3AOCsc0cFZRDDrDiuQFiWBEAgxOsGSuXowA3TM7QDnwc/qgVNvFzphVJB8RW8JFjqoZNPIro55jHSvpY3TKovSqHiLxXhpPhQW3ET5JQ5/drlZMPmkiuANxQoDyGIDY1aIU/MnBy8OiK4Xl1Ii4v797ne/V6vVjDG5gXV/dNC5RYkYWf3c6994++d/vf3hr5IkiUL2vCTWfeUrq7UhUGk7MBFFgACk2RpEEuWc+sgO3M3hdAAiiROELu4sgnm3UUyRgdApKx6xTXpxezOYrSfoCdqRzkEPgfJdkX/zoDS8z5weWwEwtiUmzbcjnpiffsifkycecWcctI3G9MqDtLkxjuzOcP+KiGv5VCpXXnrhhVdfefWrLz7zP/+/Squ3bl2+tbW53b7dHkSJRMwC5JozWdRZZb3kXb8UEAPm3cBybphXNrEwcFrlkwczGRkRScjpZS7A67BeAFRu4GeceuRPYUBEQGQ7nscypoZj1i09P8C1Qy+Mli8ISJYoVXSsTy712OdJSTBpjmRa6l6kemyoyZKFsZsa4y+SZXw6GTCWz5NdYk+KuGU/duzYt771LRFJPSqj879vVnXQrjYC5erU17/3h//yyvu9YaS80NdoArZBnChNhFYrQCBCNgkCEKAgCFshAkzhwJVSAsyyl7YGACLsYgIy2pIolXyIQNaznPR2gsYiBloAIFMXxhbqnuTCPR1flIWPND22AuD3hw54vdNgKDAkNrYs1bI6u1Q+Xpt66kyr2+3e2ohv3tm6s93b6oWdoYkYEgERJAfFk3r9ARGUIk4MFMK4WlPecAZSTXvESSoFcj1vEZEIRQBQUkVuPAzLkOaHoBNg+97smMyAAtqz0/rTpiKAAMR5X/nCKWN6XK6AF3l98Vo5FadRvOjYfIpH7vto8m/ykABnDb/ynFrMgr3F7FXnAirOOeWwjNbal19++fjxY9Zy0fv/MFRURAQBAk4Mn3/+tXMvvfHhz3+swzgIaBCK8gaKUGtkTxGRtURGgQiLkNIgxBYIXN/gNCiCIiyoMiceUmYejkprp5oQECNoJSbuJv0tHQRW1EMOATzO9IUA+FzQEXW0Q0yBg053XhcGIqU9NCCDgEF5pjSrF6vT3ZXGTi/Z7sU7g2Sz0+sPE2MhMTaxtdc5LgABAABJREFUYgUsgHBCCtHmkQFURE79H+0QsGciZFdO/bq5r8aBcqZ8Uva0V3ewqzV1bzoWvN45X54QGMVvxEFEiggwOZwBAMii0kWbYNxBL4UCVCiIhLE6suIpMBr+3XfwPGZbPGzsurnun8sYylp95RPLs/udKHXFdyLi+oJprQGQmSuVyve//33f9x38pxT8Zg9DBgACSAKiWFW//qP/+KP3P+j3doM+ex54Snme7/vGJgmRAiREpQEInQXgdo4lUoDMIgo1OH0A0l5m+cwnkTbSXYFkiIlN3N/UzSaoKoNOnYcP/lb3p1zR+bQu+LDoCwFwJJpU7h7gIHfdRvctGzIXCLEQoE/gEwa+UkQIOlQBBkhV8po+zNdopamGUdyOoB9G/TgZJhJZMQI2FSGgCIlIaY0Ief8/FxN2ZV+jrg9ytQuOiwFApumiCKCgUlkOe9YaJjf584U6yP8wKgZSTGl3UVR0uJictPSL/OUgLd79W9TZx9hTLgCcbMhjuTgKFDE5OBQiBABQBAEtQmK4q+cSIkfic7bCU0899eqrr+bN33NO+Mm5//4rCUIoIBCzmj/91Fe+88O/+Z/+SW+QkK8CJZ7v+b6nPY+0QaVtkoiIAtYATIpQAZIIoyCScpYfETkhngt7FxkalawCrq8MIQholDDsRoOO36yKEICFPE1pv6rAB0sPRax+FvTIC4CDeMQhhx30zeEjHHTKvmdNHrkv65k8ZVJVLH6Zc5y7XnTvFAAL2gOrIEYPhPxAGVVCn0s2kDjhIDZBWVcirkS224+UCj0ETUzENoZwCEi+Qk/QEKHSqDSOoNYIpaFXGJt5GlAoqtg5KSRhZHCtAMlliYzd0SECoFgtJSKYIswdqAIWLJU9LryvnBgLFBf1+mIS56Q0ym9z7PT8c87OxvRZySi/o9zV40RssYDA9fgUERS0RjBIIzE//OEP5+bm4jiGFGYNi+gID5xbIaCIR8iMEhr96jf+8P23ft69dUGHSTfAYBgFaqgUkRINQh4LBISIxGAtKIOuIYGgWEYFex6/dJ5cKFgsimdEJCsogB6weyBxbzuozQLqNKOUXEsyElerAoLyAO59X40EDmYIjxA98lAQRZICfdZzGadPMqtPcK4ICqKrsBKtlOcp7Snf16VSUK1UqtVqrVat12v1WqVSCsq+73vaV0oTaaXEQhwby9ZxaaVV3mTYad4imXMmmx3uxTzH49hFrRZc6HIPZ3Tv4CLDHYP3gdGXsOA/cQJgHOhtjF/n+niuvBePOWipcyV91OwYAYwb23gFe+DAPZmbC0U913055oCaFEWS2Qpaa2Y+duzY9773vdyZBvBpbH50fjZhZltvzXzjB39kKAjDaDCIotBEYRKFURzF4XCYxLHYhNk6xMAUJaKwKm4vpbfmXDnpWuHo6qWgUCgIqASBSMygZ4Y9AIbUgoRMCZB9u8R8QWP0yFsA90pj+tdnPZ17oElGcPQTHaNGJKUVooh4SIhCQCwgllkTaASfMFA6VFqhAmFjE4fEQIjKOY5A0hbzroJMUqUtn9XYv2OLLJnOa4wZq3Uao4PYn4xa987VXjxy5K5HHUru+4OOL156TMHPaYyVj8E27Hvvk7Mq+MT2xh8TclprB7aaix8o7FhEJHI9PsEY893vfvf06dM2y9Z11zloYT8JjUzSRZcAUCRmfOrlN9996+eXfvVXg4H0dahByAOlSZfJJDFqZVmhVZaUWIWKXfowALEIihBJhh0CkqX/EwLz3sq4KJMr/RX0xCNlWSdR3NkpV1qAtM/tPwj1//Gmx8oCOCIdolAf8tPninLF824H7sHrMFsBJkJNpDVpRUqhVqQJPQKPyFekFXqKNBGhAkHLQkoBoiAolRejOmSXlE8Wdeqixp2r20UNushG8xvZ9y7GmOmkwx0OloX7Kt1F9bw45lil8UFj5lmeObkwbHY7AEAAaW9kAFeW4eCP9h95Ui7mB1DW2B1xxNuGKeCz6/qLRKgUzczM/OhHP3KmQHEN7rYx7oeKtw9Z/TahWCEptb76vT8KGtNRwoMwCqMoHA6jcBiHQ5uEbIfGxGxiZuO6B7t1yVZH8v3MbFPmn22gkYVidpXqgooRiaCMxvR3bdQDsJg6jhwwBmDekuILOpge2yWS/ah4wL7v+eS5R7wWHFl4HH7YUS59V+4/emsCIIjAwkSuIXv2ehEqQk2oiBSBp0iTa8QHiK5HLCEpICAFRGlOesY0aV8qsv7in2PsTyYQ0MZQRfMjc+W36DvKjxlTnCfFxuSvY6tX5M7FpMPcQMknUzzRHVYQIfl9QTH3B3K3dmEaRQfUvs9xbBGKBxREjiUCy+aNN9740pe+FMcxjqjAD5/QoXUIAFrAWPSxs888++pXI1D9OBmEURRH0TCMh4Mk6ifJgJNQOEExwoZtAmIp9SNBjuODow66EYGTbyEUAERIW0dqFDQD099RwCB7KbBp1hqOyI8vaJJ+v1xAe6/mhOf3oI2y709jX05qc/cxq33PmhxtjOUd8QoAwpYBRGsSUcYal3Ev5GDagIiUIq2UInQapgCS0opQALUiAGTOnQxp93ccxaIpLu9BS51TnuKSM9+94rJiY5DsrvODx6yH/BicKBsuJvgXFw0LFWSII47mMWV8bNnd97kkKF469bRlUiaf4NhZMPq4izXAstcDZyR9qHiV9B5JBBCJqpXq3/27f+L7fhTFnzqnyx+N2wkMuvTKt/7wwvvv9DduBzrxhhEhkmUEC5o1+TZRSisiEtKWYhFR4CERMgJYKYBCFx9KLkVT1z4ToAiy2ytCoNiY7ibXZ5VXsaljKl1/AOUshi/oIHrkLYB71dYPGec+fnogxx8+zie7O8lVUMsWQJwLSKVKFmLejMvp9IpIOT2LIPX7O48DimvxJAiCRWxPOMBp7j6P2QT5rzmb5gJN3mZRiuQZkPma5IdNnlsUA5PTg0zBpwJCQz5CLoRwQlsvjoCjGBJjExaRHPJobErF2Y7NbUyo7Jtp6shhP3z1za++/uXX4zh2R32aMkCAENg1ZlEIihMrMH38yedf/WoIapBIbxAPBkkS2TiMkzA20ZDjyMQhmwTEsrXMxrJhayFN+uS8h7Cw3XuglPUaTQPcxACIrEQQCLRSSjDsJcM+pYGpbIKQxgC+sAEOoUdeANwfjSl993Q87GdAfBIhUeRWBx1zyAGTlx65N04TJKxN3LWUwsyPTA5Mhpzqja4UN7fHM3ezctMDhNw/lDPxPZ917p4uclgY9czk/Xhz7jbG/or3mP85JmlG1MMJ7gwFqZMvr4xq4mOXgAnngxR8TQc9gqKQG3s0+X2MXWjsZsfGmWTfezeerafk2HYCjUbj7//9vx8EgRMQcHD59MMgSdNuAJAQRIEVAIOlV9785vzyiWFkBsN4OEzCQRIOkyRMkjhO4tDEkYkjYxLXCFrEimtc7FxKDpcQmHnPPksv57Y6AKIGAtcqCIAEFSFoSQb9NqTtZtL/iaSAso9CUO8zo0deABTVok841Kf5/sADCjgfOgICEIFYJAaheEiIgsaKA+RxbN75EtDT2rmyETLbGlmTaGRCYgYWBmSkXKFCxJzd4ySNBwAKomJfGVB8fJPPdCzFvsg089Pz9dyXTY8tWjHkMKlo576mHIFZJlJ6ZNTdJKOmRi7/JqVI8ULFbybFec79RQAYCV21FACjNfz6a2+8/tobSSx7T/NTJALLqBgVggVgi1qAgE1t+fyr3/gOE4Sx7cfSjZIoMvEwScLIxJEksZhQkiHYCMSAWHKN4l1usU07v/DIOqAUdwRZEkEBRhREBaAJiQSGW3EyMAiArIQBtIAS4E8SDh+TzZ8yf/h06JEXAA+WZII+nSs+zCsgCCOIiSNKcdcZEZVyiZ2ktVKKWMTxPYC9dqxprS6zYctsIYVcyd+KnM0VeVb6fSGMB0SIzsZIgw1qLAOn+KYdsiBjP+XnFvXEMeNgkjWPSSAoGFJjPxU98iPByYl4w5i42pcdY8EQkdGqsclz89vMFH8WEYSRAPW3vvWtUqnM/LniSmKAnn/tq4unzg8SOxgOO/1+dxD2wySOYmYWsWwSNolxTYPFirj6gPS+AICFi+vnTCn3eWxd3cN1OokkYTzoKnRHI+x1CvuCDqPfryDw55zuVY8b8yocOCwICps4AhEiciCbiAQgmIInqxSNWVLe47CcEYQQRCyKAJLzaadCIg91ojhoR9nTWN1g4gRGxishLUeDPXgfd8vCWabqAbfj+OOY9l38NQ+l5lTM/5n0veQMNz9r7MOY/yF3vxSvCJklManL5+JhXwEzdhdYaPZSnIlDA01HsBZASO1JoHq9/uqrrxqTwOeqG6KIZVueXnruze/dvHo5SvokBMDk6XJZBVGktUZSbCIhQqVQaYuWRCESpdGoFMWb9oS6dXuKmQEccKjbfIJIzjpTRJ5w0m8HjQUhn1FJigHuhngwNze2CR8PeuQtgEmd/cGq8JMjjI18V431XmdylIMnGdaBV3EAyWxtHDroHkm5f+rqh70/UVz5vDCzBbYIjCAAQkSEyskMACFyCXwMyOkYxTa/e7q/a9WVZnW7+UIKzY+5NwhoT7Pb98YnFxxG38bJG8+/GeO5B4150FkuaCEirhPLpOQoOrWKMqxof0w+teLxY7eTn753IZfOBJl7hNlae+bMmeXlZYfG+inQvbxfEon37Gt/sPLEU4mVMDG9MBkMk3AYD/thEkacxGITYiPGchIzG7aGxQqwgxR0WwadYpErJewS1gBdu2u3ROm/iIgBMYcdSfpIIKgAgHCPux20DcboiIc9TvTIC4DPkCa50r4/3d+A+w47dswRNisKEIiQGJNEKn23yDXwksIllFJIlJbPEAIKgnUFOyiCruG3JtKUlTrlvpS9COpY7nyRJxaSu8XFEpAAkJGECIgwZ7VjNzt2j0X+OMlDx8LO+66S4+Z5pulY/cFYPOCghyiFuoR9fyp+GPs1/yCZ8B6LMYyJmdzEERGllMv/eeWVV2q12r0bjQ+dCNiwVFqzb/zB98QvDxMeRkm3N+j1wyhKTGJsEnMSsYnZuH8T4QSFR7OA3O2yqwsjItd1KF00cRUIwq7HQ2p3MprQDHuYmVJYCADcx8u471mfu+X+xPT4C4D7e/ZjI9xN6/mkgx9+wCcbHxAA2XASaaUQde5/pyJojwhm7h8RQGZwHb1c5Y2kPTtydbd4CZyg/KfxUHCBcTt9NpM3e+OMOUOK/44IklF3eS4YaAJeojilfXn6ZChi7JhsngcCRBdx/McW5K4PaOz4kXB3fuls0dxVPM978803mRkKIZmHSkdnfCigEBMr51964/jTL4agIsPdftTuhFHMiTE2SUwUJVEoJgFrwRqxVjgRNgDiDJ3CO+f+5BxbkIj2LE6nmKSGgGhJkn4bxSIyurYWo7GEh7Eyjzo9/gLgc0uHGBD3evphhwEAiLXGGoN7rIyyRFBMu+lC6nsVKGqp7AQIZv+DvXDcOEcoTqaolR8kG/Yc/1L8PK4Cj92mFCCdizRWCiCjEd3iPCerq4olaflhRVFRNBHw0GhE/m+xXDn/dd/VKH7Yd2ERC9YWQJIkJ0+ePH/+vEkMfFp0yE4b/wkJjGGLujb7+nf/2K9PJxYGMXf70TA01ogw2yQGawiEk0SSWJLYxLFYI2xQ2G2IXBAy29zTle8XmzYgdZkLzsNIhBIPO2JiBEZhh1b0YLn+4ydFfi8EwKQKf4gufzhjHeM++55+0GhjZx3EGfODD/rp6HcKaVoOsjFiktHLOVGwx2pBUgV/T69kFuY0OXs0E0NE9lT3/ZaoyMHHft3vTlOGm7dHn2SgMOpUcSOPSpQReIn89LyL1piensOa5kfKhAzLByzmg47dVJGP5/ORUZlUvMq+q+Q+5+ZLenxhNvmus9a++bU3p6enbe7Fm6AHzqcm9+FBW1cEXSlhaOnsc6+cf/GVBCg2MoiSME6MZWfWsLVROIyjMAmHNo7EGGsSa2K2rvcQ59sMRoQ6uDgBKZVjgEsWWVIInMRJNHDfSaZZPNilgFGZfU+v5+eQfi8EwCF0r6/K2Ms/yTKOMuaDfT+LAmbsFwALwiI6YovJUMBK2kkkjaxZV3EjrhcHCFiHusgiIkCAKFYhA1s2DCyuSozy/BYsxAL2y7M8SF66z6kJQiPnwgFSc+ybMSDl3Nfkvhwr6YLRd3VSLEGBR48xZRiV+mPHjK3/pK2QC62ia2vsw+RQxTVFxNwsY7Da19/81jeNtQc5Zh44978HQmBkTusVYlUuf/m7f1KeXWbFvdiYxEiUmJhNAiYKo2HXmNBwxDYGtmItszVgjDXsdBFIsYYK94XoagklB93LWlEDKrIBDM1wBwEElIAAPEgjad+F/SxX+0HQ77UAmNT7xmiM6Rx+zNiXk6ccMshdSSbooJH32FaGngKOEzldHvK6GpIMepdAFR0yjvtlL5hj+S5Fg522BQ6LK2W94wKgGB3N+eCY5g57rnNJVbiJ9SyGRiVryDV2+2OXlgOKs8ZY/xjbHRsK9+vhhRNOp8mR9w0LF78pXr14bn6/MGYlZB8oA0oyxiwuLpw//5Qx9nOrejpPoYgk1p598umXXv+qeGXLOIziODFxlERxbKxViFpprRQiiM2w4dhaFxVwbeMzr2Pxobh4sUM5QQQHbwgALmoVh0MQKwACDxEdb0xgP7r0ey0AchrjCEWF9Chc+5Nw9gdLxQlnBjAioLUGmN0L5JIoMMX+UcwsIIRKWDJvDyJmHNAhAikSFMt7+Rmp5r+f/VFkYWPclpmFXY0BAZAwsgW24PoVQNYEpigkisNOuuknrzspAyaPmZxhkZvn/x40jTGRNnm5oolQlCvFA4o7rShXik9zdPICINbaN974yvTUtLXm0wn/Hk6T2x6B02ASIgNZ8r/67e9XZhaZPGYi5SVWksSAgEOGQ9cHGFzSJysETYBgrU1AbBZ52kPXs9a6BRvJsMKsXhrFJkNOIld4LvcuJI/yIo9thnu9xOeKHgcBsO/Ls+8xk18efkBOR3nSh0yjyGUmDz7k/Z/8fkzxvMttSlpo7wSAQgDXxiV1neZZEmkWDqRdhCn77FwQRKQgBW+RrNPvXvIijsZFx5hd/q+1LFzwvMv4PY4BvY3x0LHFKTp5cioy8SIfd3JlbK2K84cCx88h+HHCeTWpGRRnW8wmyi2J4lLk5cQyIScOmnwBW8klvOB3v/M9N/a+GwAeKFcq3vu+m7P4J6Q2I6AAEACSiEqsWjx57skXXo+FjGBvMOz3h2wZAF0NMyIiuJ51jMIi1gkDFGttwmxEUqwIGWG7I1NyyEIAgCA2Gth4gJDXA9/b/e77+TGmx0EAHL7di9zkriMcpJE9vN3wkPeZuzEGm74htMdc0h9xL7kHs38zBxCBiLBJFIJKkW2sMWyM3dcbU4RPyO8u/ez0PNjT9CcZSj7O2MMqSogxAJ8iDx27bh62hdHHihPe/EP2BhaWqHhYfrkxVo5ZKLt43bETi+tWXMB98VCLk2TLx44df/HFl5LEPIxdM/ZAx77f95Ti4uffORXD6RQMSlTp+VffEFRRYtvdnjGGAUiRUhpIZbakqzh0+oFha0VY2Aozs5WCyp9lfVJxAqmYREIQSQYc9ekTF0g/KCH6OacvoCAA9vNjjNE97YajiJz7prEZFt/Afa/o/KAsFoQRxVVgGWaxzhu0xzfd21Zgag4QApIkERYCjQgmjRWLMTZNIaX9Ux5zKDRxsL25lMnuQjL4exhlzVDwkOS/jjHiSYNgUmZM/upgGyYvhAfn+MN+7Dv/prjsYxLooMmnD6XQqGBybu4spRQhFqEm4iT++te/Pj8/lyTmYeyuBzRmpktl/RhjlhPnnpydXwj7a9prBKVSqVzSnk9aASKgQkzFgBVRAMyCIIrAFYwLIiFx5pp0cFROJOT7h5CAlGUGMEpMEvbK7nj5pGLgrvSQFbiHTo+8ADjKA/hMHlJRpT36Tw98FgCCAGINpGayACGCWMOcGuFpHz0AkCw44N4yQtAECUOSGCtihVFpBhEAQmImFlfKOw7sDKPMOr9RnAgIwygbTVXd0V67RbY4+WfxikVLDkfjN2MMV0b9/vmRYzKpeLmccoGXq8zj6ZsTBkfximNjFoVZPqYL+RblhFJYrVb++E/+OPO1jJ/7MOgQsXrQrkZEAAKwAoLCCNoyl6vVhaWF/q1OvdGo1KqlUsn3faU90h55vvI8IA9IoSYkcrinRFoEQABHu4q6yJZbgcKSIhC5MnePxMZhGkMGN+OH9ZY96twfHgMBkNO9vgyTL/bhBx9lAvtO6SCGdfSLHjLPfXX/kVsTARS21lojYgQQ0YG0paW/e+wJADLATkCg1J8rKOnsXbcNayyLIJEiRaigkLxfhMzMJ6aURqAiTx9T88cU6rEbGYN1gwJ7HfuyuM5Fd3z+CMbcU8U53HUmhYtKUa7ARNBiTPAcwiiLP+V2gPuXEGHvxoXZxjF/85vfevbZZ7Pm759H1uMWIPvL5RSkmWNzczMN6TaapUqlpH0PtUKlSGkkTcoj5Qkqx/hBkQP2R8QUoxABBJnZQc869p+hGSKmabIIRCJMKEkSWZOgF+BIHukXtA898gLg4SvR93z1MaUSDhY2Y2ziISgUCKgRQNuEtUAMCCTAIBYAWEBQsThEXiMiAEogdmU4iADCIEAgiERoUVHaKBgYBaxhC0wpznP6fpIiRSrnbgiumfDI3Tnwy4OWzo1zCC9Ov0QBEJDxtr1Fdjym7BcPSEcQyXjIPpcrzjCXEyl2sYxMHhGNMTDK1nMrZCwUXBx5b6GyI91BzKz3DmMR1r73d/7o7/ienyTGhe6KusVnSBMPyGE2IEDAIAimpGH7zgb2duana7U6liqkywrLFS+oKeWDLgNpIKWUBiREBQCAYjPYzxSBPLMgAZRY6xDjnE7iHiwCAyCghxKTjSEZol8xrlrx8ygrPy/0yAuAB8I0xwaZVE4f9mQeOOvPBnSu97QIQBExgzWWgREVILALtkmeIZPxaMyqhJ1TCNKKLxEAFEICBBSXxGldIMGBlDGzKKFMLKSMGkYWs8j1YEIKjt3CJI9j5rR2TEQmXu6DJMdYzo9LSBKAlOMcIKQlA3xOB0TAzK0ABRk/mWWUGxyUtvFKaV9nERZCEezQ0ESstW5JAYSZnzh59oUXXzTGSloQu0/U6jMRBjhieTupzyhgES1goIhM78JvfuyppF4rVyoqKHnKL/t+hXRA5KP2QCkgBUiuPTwS5vWGgOSGFhFSBAjiBDAKiCuERmbAVFSAIgJFBtgmoQeCriTtE9ND0Mw+L/TIC4AHS0UmdbiGNabT3ZUO8Ql8cpL9vEyImaMAkS1nHDfzhDAQIXNabZkBQediA/NE/8yyR6UUm0y9ExBwGqtyDMswIwoRCTu3rXjax4JD35H7Uym1L1KmjFZ+5VwyV9sxjSIAYeoKLqr5+y7OmPrveMVoCfM+AmlS/QdI7xoAXIZRfkeFBc9nCw7BJuf+B8GdwuSWwLRDbm4TWGvPnTtXrVZBnEQ5zFv1YOkoAmZvMgDgeLaIoBARQvLhb/5m4/Kvl1pBEJDyPOWVPb+GVGLwFHmgNCmNSIKIqABJUgDzvcfrNBABYLeYKrfA0jcQXatqEQBBQhTLJkIQAP1JioEnn9fh3z+K9HstAA5X8w+XAZ/mDpg0UO56THakY1jCbNkaYkvkWQYitJxq5ll+ee4eAUoxowmBHJvLF4GBIY3nuhSLvfm4k10GJBGJIEhS7BI8Nv9ihBMKjNIdU8RU2O82pRjdy22F4mFYiApMzhMAcvjriUXbCwyMKdrMLGABUGQvFJyHForaA6Tc0N0CFS8ydl9uhDFUonwRnNgAgHPnzinyrLVjz/kz0foPIRFhIEYEgbIydz5+9/JvfjLjmWo5KJdLQVDSfkmpEpAmpUFrIA2kJXX2EBG5B08KRZxasifDMXOUZd3eM0YsAkLklBhEEE7CXtkmQN6IyfYFTdAjLwAOUf32PXjf7/GAYGDx8z1d6PA5HDLOA7foXSkYpOlzwC5FHQVJpfFhhLShl7smAKSdvDKcRRRBJEXsygmcIuaU6NF55np6loOvlFKe5+XHYDrcnkukaAcUn8KkzMjVYckOIiIQ10FwxJECo7x7Ul9DQMdZ9n24Oa8v/pnfmUtAhL07GPdriQiIAKU9rRyE9ljoeN8Nll/UJaW6490tE9HM9BwRGWM+17U7IohsQTNgCW375sUPfvIXNQ5n6pVypeSXKtovkfbJ85UfoNakNZDnHHGOw4OTAKnPEXIXn4xahAAAkG0kAEAUu9cvUwGYqAcmBL/knsGDFQH7PsdHlB55AQAPjjUXB3yAo911/Icx+YwZAaCwABsrDmHROZrRGdipG8VV36QoPy64CuAcPYgIwEqhRbKSZmOnVxHIAFtG+KDjXMZYa1mpPTdIDmiTH5knuRcZ975LNP6lpMr/pMAY+2Zs2JScC6uQIJIvmhyA8ZAdlp0newmjYzJARFwH93QaacZOUb1w67aXOyuj3jBhThN9JAVGrtaqS0tLzPy55v45ofjA4fbtd37yv+lwa6ZeKld8zy+hDlCX0AtAIRKBIlRaAJ00BXL/V4xZ6cNepfreAqZyYq/aoFBrAg4fSRMCJqGN+uQ3s6Meyhv9sBnFp0CPvAD45Nzz8Kc46ViYnMDYCA/QViheYozHwd3ufW9WyGytS+nBrKxGACwzW865c4b7j4hODDAgAqX/ZRFrRQBZMuWskF5XnEn+loqItZwkiXNleJ43dhdOAOQlY8Vp58x33wV3B05eNz8gX7GitZEbKNmJKRBd8VcsZN+PXXRvfMgj5Hsj59dFRM78ZiICaJ1dJQAANmNeLmmFMGNOe8KKiJnZWkR0bVAM2+mZ2ZWVlc+k//u+e0wKUYiJza8CYttZf/9nfw6DjYXZaiVQWivt++T7oD30NCmFSgloK5pcdIQoZ+tjknVv5d2eBJQ9ixWJUiPS2ESREBCD0gjGmjjsBg0jcv8s7iDOMPnKP7r0yAuAT5mOyNz33R8HnVg8+J4kx9hkxgRDgf2lvn5IQ76p9z9/33JPPREpygIAGdAnETJgit8jmfWduolGLoeZo4bZ1Q6gCBtjikjIY0ZAfm6eLVP0wBRZM2SsQQQQAZBc8HrfFR7nHQX3VHoApO0xnZV0kJjJT9mTHICkVM6xcxdNYbaMDvFCIHNT5OhLe1eh7LnkN5BZCnsOJofTh4hzc3O1WvUgq+gQYfkQKX0MY4REFPe2P37rb+LdW1M1rUuKfKU0KU+R56HnkVKUVgAEjIpc3Qm5qvP0jmB0/VOVRAARWVBEyFV+CVgjhGSBLRsQQUrbwQubsN/zbSKk7k/7vyuL/7QX/OHQFwLgnmlfZXxfelCawj0NUtyU7s0BMEAiqAEpq5DUIJYANSmxNvNVg0JQSIo0KqWURpWQAUBkUFaAURBdo/iczwrAPiAKiJLNW1w+jMOAY2bP81xjWxz1+LtBxqCkJz+IiAhDIQIxduP5UMVTYP9nQQiotM65TC578kdcnE82Tt6KZC+aXbwoogJGARF0y8QjeESMLsLJIGKtymfubg1cE+f0TJEUEefE8VO+X3azOPThf0qEiCiWxSHwCAoDoIAmUty5/sEv/v1w9aOpQMqer5XWOtBaoyoh+UppUB6jRvK00goJUZAIUrAQ5zQDRBQgt4tS0zBN+nWin0BS4YmILAAMPnkJswJBjK2AcCJhl6OhqpRY7sd1dvjL+4UF8CjRfavY+9LYCIcoApOuoUPGGTvm/ua5j0EgAApTXpIrba7MEsQp+84T4tR/rbVWRpHSWiulkRhF2AJLmk+BhST03Lk6Ntv05cG0gEdGsfKdHZB/znW94ghjxVNjPL34MR9h8rlMrs+IvgwIgHm7QSiIIhyNTuej5Zp+0U3h7qVoXmSJtsJiORMqRIQIAgxCwiJUjAqMr14+IDMD4MrKslLK1Zp9TsgSAbMSAFFWXAGvGXY3PvrZv+2tX5st61pZeX4A2kOlUWnSvtKalBYkzKsHkUi57E3X3ReZswI9AGbIk9AKleTkoKVS7SILlWRxArd0VhNEJkqGfVWZ+mwX6nNOj60AeHgiuvjSHsL6P6GkmRxhX2Zxd0M1c5NkRzovReoBypw4qeKslCKw5HIyiJA8IYf7zKnTA1CcSxvy/2duHNhTyvfSdQpsUUQcC3PfeJ6Xo4dmw+wf5Cj+iYgOeQJgL2JRXIQ9p0F2LmVgMlhw9GeLk0MOjLie8osWixjcYUUZIAXMicmANgu7RrW5oWOtpGNbclJw8k7zuEgRYKPVmspdZPsu0eTGeNgkDnuTQZAESZGJdm5/8PO/NFtX5qu6FmhPE3keBWWtPSJS2ndmJZAHqBSRw3JIq5pBEEkQKAuey0SZSHaDYykDAsgglsWmVWPirCggMTYejHneHsy9j7rdHmlr4JEXAPe3+vsy04dKD2qj3KtoQWQX53RvS+pncFp/6nIupugYQlTooOFQiBLGRJABiVCc6jqSYu/4bCpF8js9ZPLGGMmAnYMgKMoAKNTNQtHtPsrlc4a+71KMPdkixyyu/1h1wiS+W66AFwGO3CoVH0RR3ozpBEhIogRAhJ1JkZlBFkCY9/xInufl0mXsNq21tVptYWHhk6sUD5aURUFlCRnBI9tevXzxZ3+u+5vNClXK2vcUKo2+T56P2lNEpD1AAtcwmAiVdpDOKVIsIZISEAamgkhGVCnQf7olCnEHcbKARay1lllAAQAKs/O1ASfWhDly3Be0Lz3yAuBe6UGx/nt9ISe5/11nUjzlE0wYM2wfJFQOTtGavX4sAECklFJEjEgOuF+jQuTIxIPYGgFjBYRcVNPptDnzyvV/AMkT7FEwxzeGggsoBzvLmabW2rE/KMjIyZUZkwG5aoyZryYfoQjAUDy9KEsm1zm/bs73i9ctnlVEhijaGWMfsikJghJEAXYwD3tiQNg5n6y1RSlIRDa7I3dws9k8efLEJNTEZy0SBIBExCezff3Dj3/5l7Vkt1VF9H3leeB56PnkBUp7SmkiQuUBKlIKSSEqx/KdSYlIzvMPaXBHCn7FkffGWWXZbnNPyqRJzJimsaVNgplFMJO4D8Dr+xgo+/vS750AcPRZvzx7NGnLP+hTEDF72UBEBAEdohmREgVkUxRP11iVXEKQAgEYRiZhTERYXIPukQsiYur2yUoHnDGAgnmWYMFUT0/JWw44UwAKanVRSXef3bxGuxTcPdxSZOj7LtcYBx9Vz0emgVmrgCKSaJHdF+uB86HGJymIQOjgii0CENuR3mdjOEW5QYSI1trjx461Wq1iaPqzJhEBIVHAgSS33vvt9fd+2sBBo+75gYfKR6XQ88jzldJaayKPUAF5SISkiDQA5vDjDn/W3VbencIZmsycefYBABBT8JJs5Syz5az3Tpq8lm1FFhFRRF4mTz4P6/Z5pN9TAQAHhGTvyT7YVx04RI2962gP4/V2KTN5nI2ttcKukYs1kuvEltlYw8JCCARAaAUSBiEFzA5nF2AfZIVc93fOVhFXeExYiBkAiOOfjrlxBnaWa9wuNahoVeRMv+hjKVoVRY68r31QVNsnbakxgVG8HIwm9owNXjwFRp/vpE2AiCJIBCIMeZEBW1TjuUkO+o2UQklDoABAiNaY48ePl0slHk1GgnvZWp+MuDDVNAXAOWlU0r32zs/XP/7tdCCVckn5hFpp5aNSoDWRIiKtfQBPSCmtCFOIcUREUKk3J+X9KbQbiOQmQDHdIFPkJQ8LC6cNjMDpEESAKGwsWyPMAoy6XKqlqQtHoPvQ7ou6wiNKj7wAuFeWfRQV8vBhj66K3scMj05HHRCRhdMWeg5rUawwWDGKPGtT3Tdz5+d1wHlNLCKSACMSIBeTL4ta254XCFBwD6UXs9cv6+GXMkHH/R0PTZLE8cox4KAiBy9+M8aO82+kcNHin0X/fnHpiieOaf2Oir0NJld7NPc/pWIfguyK4jJlUxkMUATCy3UF1wNAstqL4t1prYlI+EG5BD8JpXtZEcb97sXf/aR3852ZCpcCpXxPaR8RtVKgFCpNiogUICFpIp/IcXC3rgSAeVGvUxoEQFxbYMwLA8f7hmYaAGeYHIwC2XNCAUisSUxirVjLFATlauPRZs8Pnx55AVCkg1TyyWMOeX8erEi/19Huw25wHyYV25QTAQugKK0kgbRzhmIz3NramZmdJ1DoYCEEldJaJxgPQZBEEbJGq0AJaosGiMkBwUmaNprBYToWVijgdIXCKUoEAQpwqvsrRSJ7+Ta5KZAkCRQ4flHvk1FHDezH8WGC6e+78kdZ21z3H7MAisdgFhDO2fdBKTqZ30bGXGfF6AUUc42yKCcWXPzGGs7EExc6RD5osgAkoAQBgB2kMwAYVAoUCrPEgIjiEdj+zq3bv/q38c76XFlVSgo9RB9JIZDHaT6BRtJIGlAjIREjugYHqZsmC+Zi6u4RoVSfQGbrdAMnNR273zP4hACEUFisc66BACIoMZERw8QskISJ9apTK1KeyWTwJ6L8QX/CcT6H9JgIgCM+mwfy5nxGytc9U7YmQkRIas+XCqhJaU8zMzkQLpGcZbvgGrNViJXAH1qbWKsUACAqBMg0WURhZCnG69KL5vwxvxwQ5PCNAModk5eGMXMuAKDAHydvZ+wqY9w/Pz0/pZiamR8GEzx90p4oCoBJywALxkTxfh0jG4MSgoJ7Y2wOOVOTLC0qj2DnM0eXKo8ukv8QN16a4JvmxUr6HQCCJaegIwkqJdy7/dHV938C/c1GvVTRpJSAVqh80r4iH8jlFHioNKIipSmL+qZdHAAgdQxC6q9n16zUufigsIaYzySV/ZCCWAHAHhAcgCDGQMJW4lgsDJJAN+Yb8ysW2d3Tw1q0R4QVHEKPiQA4hA43nCet+31Zw0FP+ugK+yHep8nLTR48eRd3nVuR8rZIjt0oraanp4XRWqdricpQFoTRMSRgU/JUNVA2TIxYROVeN5cFBNkrW5jDuJY6moojec1wkZPmQBHGGPeN1hoKPP0g5WtMHoyx+OJaFX+dfLjFCDMU+HI+Q8eai/KgOKXiHIq/Ts557Pgii997oIUgsyOlVLVahcw2eJgch1AAkBEAWARcUxZQYAWUBVRKoQk3L7+/9uHPqtL2q4HvKaUVKQKlyQsUeaQ817aFlIekABBRIWlAJFTgwAcdjLhkayLWcXkRKTyNkd0uAq6HnThzlSUPiROmxkQiyEkiiR1ERI3l2dPPiFdFZBHa514n6LHU7o9Cj78AKNLhj/kQHn24FDn61cf4xQN5nw8XLUWem5nbnDrnAZgts8MdYwAHS4kiKWgQJ8ni/MoM0oWrlwhd4K7A63NmmXqx92Gy+cECAsAoKq0ZcJ5gIicDXEaQ8wXtq2gftG5FpowFX3x+1+6kHJC/OE6ucY+NmRchT/40ubY4ag2MySHJAr/FFKP8YMpo70ayCRSthHq9TkQuHf7hkYACtAiCIAyQdnIDdL29UCkebq19+IudK+/UPa5WqqiANCnlgdKoPdI+kiKl03Qc7RGmTb4AFRKB8+wLQApGAiLAzCh2bwr7LCMAsMtjBgFXWY2CIoKAlLofmVmEIbEQsdKthZnTz1B12jIT288Hdsbnlx55AXDfrLn4bh+ieh/lipNa51EuehDddcx97YODRVemUQJK1k9KjOsJLABIpGwUW2tEhK11GdSW2bklykH52LETG93O7ta2IiTluBW5uDHkWSGFaRQZMaRcLPsGuNhNFzMcBQBwHiHIuKfrIjC5egeZAmMiITMgQIAldZ5QBuW8d9aY7l/Ux3EigFzMxC96b/LbdPPfN45dPD7/kDfPceuQXyJPfnWfy6XSw1T8U8pWwaXXExACCIAY8DTaqL16852fmo3L0yUOSmXQJY8YtULtgfJQKXJ5PkSAGoEQNRIBEQKJS/5xq5SmBAC4jo7I+SKOSVPItApMYZOsiMv1twCk0LVMYAFhFmOsNRCyKi8cay6fYa9q2BKgMN13/ufkTsMJ+/IxsBseeQEwxhknv7zriYc8xSPq6ZM744i0L+M+ujg50oB7miWIMBIBO6CewrqBoOsKwClAtBVrxApIbEyl2WrOLZjY9npd4FzpT7GMRTBt07rH70Q4VfmL7hQWx/2xuKq5DHB2gPO3GGO01kVWPsYX8pUp8lPI+hIX7wuyGHV+t1jIMS0gzKREhT5l+Z88AUswudPG5BAUZAwUjKWixymXH5j5svMT84RXpVS5UhEZCR7s/6A/OaUpqAikEBDBAFqNpe7qxzfe+bEabLcqnvYJtK90oDWi1uIKuzJTBpVC0UguxZMc5OrIUrgsM5e96Up2C2D9ksVCio8Js0Axi2hwGILg9BlAYbYJY2IpYVWfP1E/9kREAQAqMcAKQB3RcprkBvf9Uj9a9MgLgMPpiBx87JRJ/fqug9yH8bHv5Y74Yh80yf2vldbuAqbsTBDEFUuyjKDfuPpUY61lsQwsZCz4lfrU4jEexnEcJ0niopHpewgA4AAdU8NchF2qp7gXGVllXdcRXOXn+F0Usy0d91dKJcleO8ninRb/HCvKzQ8oLEX+Mqd/5WpmMaHIkRMe7tyiDn7QIhfNhaI9gaP+n7HnlZ8lsufIdveSsChFRQPChcmHw2Hu6Nr3ET8Qcl4nTleLgK1GJjCrF35x5+O3KtxpVivgB6BRaR0oDUSgFShCJI2aSLve7pTdIhEhplZmNntBEGRhTktAoGBm5S2U09sUYXHZUyiC4PaZKz9OOweIBTGAiVAsqjx/srl8KsEKAaFIGmi4dxF5V76f//pQZPCnTo+8ANj3aR1kqR3xgR39TbvXke+DDrrE0a2TNLFHQEOej4IizJbz7PKU8SEBAkPa+osBZheXdFBtTc9VAYbDsL2zFSeRdiVLkMaNARxKPjGzMRahkP/DrukwIaKw66U+4lsv2gEi4rrHAMBYYmh+L0WV2REVgOc4qxMFAQFGzLkPwCjsKBaKxXKOXFy3PPYLBaYwpoPDKEPHCYukeIniuQgugXHPCGBrBcBaZGbP83zfd1wUEf7pP/2nb7755rFjJ2TPXf7g9xtmz1EAQUCj4qj73tu/MLfeaVawUq14uoJ+gIo9TQq0UeSgwxUqBYpIC3lChMCEVIhXu+KxNMYLmY0BaS5/GprJH6uTu9ZadM60DPqNSFlrgMHZHMLCLAYhMhxb3ZpbCZbOJFQCUcSEYEGUq15/5Dn0Q6ZHXgAche5DPb/XF2yMfdwfs54c866nHHoMAiAwixYQNhY1WERRAAwqK8QREQEWa40L/jFYEEEGsoDKbywdu7nVmZpaivzqwiCJjYXuTpJEgEjKc2i8CGCtERBFilClDZvQBfwQDCKQUoQISqW+fhx17OQ6eJ4b6ipjcz94vnr5iZOpoiPMGoGQ0jAjjnSYmjS/irq8+9Lh84yNvK9GP3nMvgJ738fkCuLygx2DZLGW0bJG8hC1AGhPaw8R2fVEcWBNblS8dw7nAHcyxEz3DQCAUZjyfrCkeLizduWtv4LdW9Mtr1Qqac8n5SmtUPmCyiCS0kiolAIkARRK2XVq5wE4tR2zsAKIdXUf6BB7nL6BKMDphBAlPSB1I4ooARJmUgwukk9ESCLIAMxgGSNbqs2fLc2fEnJBI3YbD9KeRUfS5I5udt/bWj8K9HshACbpEH59kA34KSj7hw9+iClw0FmZ0yHrnC6IiNa5YB1eg03drtZaZxFYARAmoBj82ROnQ9Q3b95h1q1WdWnlpA2jjVWv39sNo1DEugZiIkpp3xrDAkSapQCqwyBis+JPwEJKzNg6Y5YACgAuGFCAfd5HmuasdgwkJ3ci0yho6GTY9nDKpdTk+hf/zKHcENFFdPNbm5Q3hQeDNFqdgM6/ISBAImxtggQABkD+0z/90+Mrx6PYgMPOKTC1+9BvC3yf03gMAoiQgEUUUD5w/9a1G+//AqLN5lxQDsqKtNae8n0ABaQAEBAJiZQicu1x9jxXAgQibtuJSBZYSN0+zGmcXMQBACEgYmYXFtxuAswsxtUPWmaHqSGCBFasZYbQYEzlqeVT1ekViyoNZLkFf3CB38eefi8EwF3exuwYKGiRn+QqYxca82M8DCrKhpF7dLqWCLB1eZqSssg0l3oi7RoJNUFsGLzp5bmzX9rqxVoHly9dO37q2MLszNmnX/BLlUsX3ucoEWOQmDwfEZF8RTqLt1rLBmzKqpjZmIQoDfbmmv4YL3ZsVGvNGeVJQWMLmHPYIqvNvyly1eLiFA8rLM/IrsBRF1NxS+zL/WF0q+QFXO57B3dxyMzz+0qhDFI3jBaxAlYkieLk/JNPfec730uSMVAEgftlcpJW5Tk/uyv3RXAplShsw1sX39u98l5LD8tNHzxQ2leklfYQNSABKUQkJFDawTchKgfxkCH7p9YMjEZisADsw8xuo+QBXuejk6xkLlchAERQQBjBzRETa8FCmKCUWlPLZ/zGXAJZDUu+JvfIxu/KHB5jenwEwEGK8FGe6z09+yMajJ8LciwMOIkiYQsElh1qMwiLNdYVghV4JSsgBlSNKX/qVOxNaRMhcszhtZu3RWBlcWHx+JmdTscw22FPTGxMpLQP4tDfBBBdx1wEYguMqc/HhXZz5pjzyiIfdx+cDJAsE4azBin5uXmqz0H2QZHR58dgId7oKB92zP4r6u/5Tzjqs8qvJVk9getzmeuwklU7F9NaJi+UTcNFBYgAEFkQBIlF+aXKN7/9wzARi3r/bBa8Z2YHLsVfsptCkLS7s7WdjVsXfjPYvDJVhmrJ06SU9oVcno9CVKAUokP0JCRKUWbJlYxlD6goHUHSrH8E14ICKa30BRDLeVgFAbC4UIAISIAIaSBHgAUR2UJkOWFdai62lp7gUiMBwiO7eu5tmX4/5MFjIgAOeVr3xKwnVbZ9B3lkNkem27CJURgEHMIWWJfsb7NW7+IUNHRNlfxKafqkqa6UG4ud9g3DqjE73+/t3Ly9TqQb9crc8gntqc7Gand3Jw4HnCSe9pw2h66dLRJpsmjBpIl9Lqjr+36OduAmyAXw5Lw4Vmstrs2HtUVff7GTcE5jmn6R0edcO3fRFB/omG1RFBX5kZN/5vZEflbxWsVZ5QVlY1bFmPqfT8EpzgotC7B4imrN1mI/xIvXb1EpmKmWETFv5ZZe5d4NAQROUZgBWMRl2BDA9urFtYtvl+KtxTppz1X2+oQkShMROCdeyv0VpuD7iEoJIFgBGufBkv4jeVJP9gvnn7PfGEkXxba47r8MSIDiPoK1HEUcqaA+f7I2d5p11YqQc1wBuWjI0V/Mu6pxkzvtsaRHXgBMPqRPqKEX+ch9nFs0J484yEH77KDTJ50Yd7sAs4mAXRNvJCJBy5atca1HqDCsWGYpNbZjz5Z0k6nfjxILlUbND/TO5taHH185d/Z0c3q+0Wz0ZuYuX/iwvXFH2Caxc/K4Jn9ASAKCWmPmdWfmOI4RMQiCIqst5vDkvD73EeUaNGYe9qIKv++DxlHnT35MrmBCxp33RRzi0R6QY1p/kfvLKAZcHorIi3uLImTyeRUFQDpVABGOrSgvOHHi3PTsSrnc+NVv3mZiz6Pq+bOB7zvGu3cjcCQLYPQ2RVx4VICAPbIc9a9d/Ki/9lHVt/W6V9KeorKQFoWixeE2kzMCYE/9FxFAEiAEQJV5PiEzOhFAOHPLFAopBAAIKCs5cJlikhoKe/NDV8InigEQrYARNYgYvfr0yqlyaymmKgspNCQ2tWBw/E4PZ993Vel+H7g/PAYCIKf7Zvr7MusH+PiL4x9kUjzAa429AwKigE0UkTAKZakXjilLlnFjMyVX2JOIg0EUqJiQYLffLZXKOxu71VpQqTbEyuqdzZnpZqNRmT921oi/5pd2NjfiqG/iIYvV2rX6Q+EEkJRKI7HGGGutkwG+7+duHBGxljPWsbdQowdYLHiNivIjPx6zzPpJpbv4FBzl9odj4sVjeKKdS3H8SXNBCh6noilT/DUvAcsfUJoxk8VIrEiSGEQMSqX6zNyZs+eePP/M8196qb3bHfZ7C/OtX/70p/Vy6ewTZ9TohWA0Jny0XeEc9EgoHpjB1s0bF95OultzdT8ol4mIUAsTIqIiBnYqPwACEKTuINeWnQVRHGgnUap9i4AIYZr3mROAZNEoSeeAACAsDAwiYtmgAwtiFhEiV7UOKGgZY8YBK91cnFk6oSstI4QghBZABAmZHmq+5+MtCR4fATBG96HIH2I63LPSfYRrPdgBJ0dOmRSIMCdxmOu7kqVlEJKINcZaaxwQPTOzJkW1ZAfNIOr3e5ZwEEYSWaVpqtWs+JWd3c2d3V5kLJI/t3hqcXbmvXd+vXrzmofCJg6jWGtPaR+JmAUEXGjXXdtaG0VRBnqfaW0EbEbmTFm/9dwOKObkjPlP8ruWguNeRlNxIIvQFvl1McaQn1W0HnLePfm8isO63wFgDA1pL+8oc9S4X8R1Q2NrmY2xnh80ms25hYWp6dlGc2p6+czJkyeMMS++/MKvf/lWr73x5hvfv3Ft9j/89V/Pzs1NNRsE+Z0iHiEIMOYmcllARCAmvHHlg/XL7zbU8FgrCIIykBYiQQHNSKBQEWgkpZRWSosAoNtDCJAiXKdqTWEOCOBSfQoTExfc3ZOLnO5By5I+Cbak3HF7I4iAYUosJOQ35o5X5k+IX4+FFFgliQAwErtStAkm/Xhz7QdIj5UAKL69+YcHJQOOeEyRxRz9ug+HBIARGWKThB0hZRWSIAJFhABWow4RExiiGBGxiCgeoR8rv2d6FRNYA8wq7O42ShVrhJTfD+NSrZXE0fZW28bm2NKiV5k7ee6lemNm9dqFYW/b93S310c2vvYJAUGQyCIRaSJMojA2EkYxKvQ8BVlHcKHUDuAMGyf3pXDWM6DotMmNg1yFl4LzLXfOuFUYy+gf88nkQ40JmLEDin/iuLsfAARBKM1ycoF31wFYGBARCBjEpnwvK3NbPHbimS+9fOaJ862p2d3dfpxwa3puamnRLzVMd7eh9NrVj69vbF9bvf3Mk6d+/dtf/uxvf/aDH/yQlEWwwB4AAphCB8kRItEWrSWLwIqBRAMSAwBoreKwfev2xd9GGzfnS6pWr5DvifKJFAoSImrlFHYiIvRcTBYojRABuqJv9+xARGAP7hoEhYVJnBsoXZ8spWckZ1cYhMGKIptoiUFsAsqSRkAUQBHDGFqRoNFaOllpLRoMRIjYAgIDAeSFCy5J6GHR5+Ndflj0+AiAIz6kfQ8bUyePPsjhp+zr/Dn8sHu9yr7HjPAvQOHExCGmDR3zTkqeZSOcWJOAAWEhay2wChr9fmJMkoRhPBiGvR4wdHuDxdZMp9sV5kq1TIjDQXdntw0is3OzSntfevWrp544++5vftFvbwBth4PesB/5vvI8lyKujRWtCQAMx0mcIAJhSSmXSSJEMKaeQ4FZuz+dE3/Me5Pr7Pk65J4W901ef5Az7vwq7ngnV4peozEBMOYUKj7NbNsAokuHd5aVZRG2MQAyiwXjsiOJlAgYw36p/NKrr3/zD7735DPPDxO+cv32bjeqtpaOzy4Ow4QliOKkEgBIfPHjS7FX7Q9jvxJ8/wff/3/84//2lVdeWVycSrX6PNdmPyPAUkICZB0cm1gEAEEkZTobVy+uX37Xs+25RlCqlFAFpNLoArr0nrR7jyKlHEiEICKSw+DJUADJqf7F9XQCjtxhmUtNRIhU2qY3+4aZQTJkKNKW0TIzAgo7938iamhRV2emVs74tWkjCoBIDOSl3Q8u8+cx5u93pcdHABxEn/7TvVez467nHjLgvtJlRD9FsuEwCXslAAK2Aq4GH8CzMBQzREYLBMZwYkLBgZQHkZgoGSSdOOw367X27q7nV5hlc3Pz7LknqtXK5csfo/KU1u1enxTNzM0NRdUXT331e4u/++WP8frlRq3Z7Xd3dnZiI0EJULEoYBGldRBIFEVJnISA5Uol6xNDSpHJugTnmr7W2lUDFGPCxaXIi2mLNsHk+uRSobiek6w8T1SdVPOLIgRG+0FCGqiQNN/VJu4aAIBEDAmStlbA4szc4pdefO3Nr//B0888225H71+4akgn1qtMz2ivlFC5Z1j3JYy2Tyzo5lRtdm5uuyee9q3A8ePHfd9777335ue/nrZUT+WAW43iXSMAgiQIQkAsmkEBWJ9M1Fu/+eFb3Y3VupZGrazLnvJLSpUUekgWXTFAZsiQc66AckmcqUafViGLCDoon9QJVNh84ODEs6eWPZc0nTeXAZDKdYNKGyLDCTFrZEQ0gj2rq1MLU8tnJGhFogBRiUGwgp8LlvXYyIzPxWo+ujTGI/b9/rMlRIj6bY4GBEDg+mijiFO9WKxwggZEkthY1YPyrR5jqS447HW7g16nUvZ3tnn5xInOzrZJkm63V280o4RbzaanaTgc9MOQt7b7kZmdnZtq1p9/5eurs0trt67Xwt3m1ODm9evtdjsoU6nkkWgUHQQAKOEwiqJIKVUql8QVEaDHLI6bFysGoMDW3YdiTHjf9T9k8cfc+vn4oxBsPHZK8dzir7lYMsYIi7WWhYmQFCmlkIhFxGrPrz7/wnNvfuNbr7z6FUH/o48v//iXb++2e16psnTiFINKLO+GYaiCG+ubcd82m7g0WwPtLS7M94Z3VhZmPaU9pb78+mu/fOuXX/7K69VyIJIq4gfdqRKfMbGKWViB8qzZufnRnatvl6ONpUZNe4EuldHztKcVoAIWVIhKEMhFfREFhF2JFxGM9PaBvY+IKOh4eRq/BRTYC3dL+gs7AeBEuGQKvDAjOExCUkTIjEjDBBMMGiunp2aXLZUtK0AFn5sX6jGjLwTAA6NJZnRPpsD92Q13kTQICBL3toljUh4iM4ixwsIMzIBslbUQSUKK+lzu0sxqV2IdN6daYe/2zs5mY3qm2aoF5TJvsda60+5OzUTDMC6XrWFG5dfrlTAKV2/f9rUXh2HJ98vTx5erc6azvn77+mAYvXLyxa3N9cuXLykwZV8Bked7zBKFURgNPV9pz2H+oCKVl4zlceMxF00eJMjXOVfhlVI2syFgVB7nBxefSz5+LmzcaHn8oJj+P/aMJAtN510tEdjTRMpHQkSyLFZgbmHpD775wy+/8dVac6o/iN+9cG1rt7vT6c8vLpx77kuGsR+b7d0dAAWkb1+7ubm57fs1HQXbbdML4dz5s1vbGxUtGpQx9vXXX/k3f/EXV69cf+aZpxASAACg/TwhTgdHAc1gfWLurl+/8LvextVKwK1aRZV88MuoS57yNBEACwKiS9+CtOaLXLIpZnVeaf1g7tHPmbtkzb0cS88yDyBDBMkKwRzim6sAZxZmm3qBGKwBEQJhy31DXJ6aXjnrNecSIGAHXw4OB4lB3fMb8onp86PMPQz6QgAATDzjIls54gj7qp9j/plJE2Fs/ENkwEGmxuEHCACJiTpbGhmUYgIkhSTIBkGEHZRuEpskQd0PZrZ69U4ybLfb89P1SqW0u7MjyEvLx5M4jKNYLCulAj/wtK91wGKJoDU91+10ep3e7Zu3qtVqqVJTnq99vxRUE0y+8vUXvvzySwtzJ373u3f/5//l/3v9+sUAmwja80lYwijs9rq1alVpzcyASETGmCRJiJByXwSRpC1BxtM0x2IGY4W4RQNijPUXaXIZc/NizGuUq/9OUEEWIVBaaaWVIgAyFvygcu7sk2+8+Y2XXn7FC1rvf3jh4s/eLVfrtdZ0c+FYa0lbll6E2+1ulFhAr1wqh4Ow7JU4YVUWzws2tga//M2HLz//fKsRNGsBCbLw3NzMzPT0L37+1pPnzvkeQQqVsxd/dUsC4CCTEwLyrHRXL29ceRuj7ZlGoPwyKg98T/naI/IQEJBVYElpYQTXOY0EKYWHyAbkfBEEYCQPVVxUCVFELAq41K9s2TmP/cKeKeDMUHGoEWwBkAEgYUwg0PX5mWNPqupUIoQACi0JA1gR11jGdUZ7wBwZH+sw7+H0hQDYh4qvvftwr7r5fZ94xMGPOCwCgo2H7c1AoYBidmnd7PAZhDEBm3AUJ9yhYMdvbUSIXiUIePXmzZX5BVK2vbURaI1BrLWyzM1mczgMS6VKEJSiOOr3e9ZAtzsgFRi2G5tbpHampqY9zwPffvkrb/oy+NWv3n76GXzupVde/YM/+Ef/+L/8xY9/bqLQ11SuVBFhGIb9fthoNjyfrLUKkCwYGyuLHqYM3tUE5Np9/jkHF5JC2fBkUlAxCwgmIvP5AXnVcSZCCqeMJDqOpLI4BAgBAAILNDU9/9LLr33tG99ZXDl5Z3Pn1+9e6/Q+8EuV2eVT9dY0KK/bG5BWSns7m91+GIVhFPhe4OlTxxe10q1asNNpL8y0Kho//PjKs2eXXnzpZZskFsDlYL788kv/4l/82R/90d+Zn68DOjy3bI57U0QA0JLYYXf16oXOrctV39RaVdIKyEOv5HmeVqTSuC4RuqbtDrLHNW/IaoUBEZABhAUJURDdD5IVbkiqxTulHkDApnhTaf5BitGd5npChvvv6gpEAEgxS8IQSVBfONlcOC26zKxcsQrDiBxK492fBa9+XCXEFwLgSHREnlvkO/BwuP/R5yMCiBAP+2Gv7SsyLn2bHRC7GAPGsgEbc5QkyPXpbeN34gSEPKU9os2NjYXl40ncG3R2WUNjeo6F6/V6bzAY9AfM3Gg0Sn4pScz29m61Wk1iG5QqKKa9tfbUk+de//KrNb+yvbq6sRq/895lqs7JNnuVJ197vdJqBB+899vbNy9pz/MtG8NRaCs1DYhKKa29KApNYpRSmrTzPotKXe3swIxoz2njVsPBmTpMnuL6YyG7P/8z/zf/lUd6khQrAwBxzywAAHaOcYBc/BhjPc9bOn7yG9/89uuvv1lrTF+6dvtf/7uflCqN2Mr88vFqrc6g1jd3SxVPVGm301cqRlIioBSWy76nGCUMvODs6YXBcK7dbpdL1YQr61vtpdk6ADICClhrnn766bW1/+bq1euzs89kaV0wqhQLIoJI++attevvkNmYbnpal5UuK0VEojyllVLkuxQhAfERtNgEHSRzLk9w9B8AACQUp+CLSAbuT6lDTFy4wCKz5SzbzOH2M0gK+Z8Bv6XpaMxsRVmLrEtzK+eCmeMGSyCogElYBATJutA0ALoU0y+Sfx4oPdoCQEZTAB8ewz0Ct5Wxz5On3J+X/5ArjviUQCGYLDOEEETAEinbXTVJL1AVYhE2CYNhEFAxY8yWDEii27oUNY93t0tada2NAT2vNheFg1t31k6fOr67s729ecv3rFbkl4PO+pbW2leq3931AgcUowS9erMW+NTv7iwtzL722suJMVL2Z46d1K0KKDBc+sXf/uba5WtlX5594aVv/+AH7/7u5z/5q7+8ef1qv9sbDHqogsAviZBWXgxijPEsGzQKtFN+nXZvLbOIYmRkZxw4Pq6CgJ2PaOKtLmKx5Zw9T0dx3C1z94gII6aBBySlwIHcM6AQuoY2Dk4PWERQz84unn/qmddff+P8+WfXtzvvfHS7O7y22+3PzC751SoPI/ar4lf73T6DDo1lAOVTrRJUKo0o7JUDVSkHgRckiW33zPbO5rXLt5Svms3aEyszAIrZEDCIEkQRmpueqlX1pcsXXnz5OY8UgLAQoSBYRmRSnrDtba5d/ihe/7AaqGqtprVH2tOej6RJadQaAITIwfITkgXkTJ46QZeJTEq7D7gldZVcWUv3va5bAMxO6oAFsIQkSAzMaFFYUtRpJcCSZpRCpoZYxhA8XW7NHXtC12cT9AWA0IEFYVrnVsjy589E+X+s6dEWAPn7/FlPZI8OlwRHceUf5Xb2szNGEgElfaFtb2eDgAFIlAgoIdcFkoUNWgE2Q9CmemK9S8MoRkFBUp6vtG40W+urt65cvfHs0+cRYXd7U5dqm3duhoPumVNndnbbmzvDJ06e0r5Hyms0GjNTzXDYDVTrjTdeC6OoWq+Tx2zip5566t33PvrFL9569533FcnCsYXfvPd+lMiZs19+6uk3rl56729+/Ocfvv+7JIw9UoSEIFpDGHFswFOaiBFBhEmjAhQAFrYgJIrQAVs4RgGkNDNnvSjH4/Bjft49b5JYEDTWMjMSISI5kEshcfVOwq6CyjCIkDBay16p/MSZs1968dUXXnhlem7x4uUrP37r3Z1On9FXQak+NQ9+ibxKZ6u721+vVbpTzWatUUfS/cGg1ahrFAWm2aiVS0EcJb2hHQ7j9c2tKA5r9dLUdJMUmCQxxqW9IwI5NbterzUbtY8+eD+J/jColIATRcRADAES6GS4c+fy5tX3MWy3GpVyuUSkCIm0Ju2j0oiKSEkW0yVQAA4Q1C1X2kEtt5Ag31gCaX8VZxZBptFzJj3TmgAQYcvsQB6cseC6zyRCzFbEEoqIGCsJK0tBeWplZmGZyk2DypUXY4pUVIifFWL+k2/WfSvy+8btDvpmX3oMbIhHWwB8nmksfnjQAQ/KUCgi4krquWDkpL1xS6OgctVIHrBBtMyW2CqWSGQQTCf1J6KBr4N+2SozYEVeyQ+6nXap0oyGnXfeff+ll56fqm5evnZj/dYlC55W1rKp1Brlamv1xjXfL9UqZTaxJnj51Rf7g36lHPie3+1unTp57Jc//8Vbv3yv1482NtbqzUalsVyr1a7cXv/w0pWZVu25p8/+Z/+H/2Jj7dZ7b/38nbd/3W5vKhLPR2PExLGnNAYOaYaAWRQpMGKcoeP8C4wpFkDqB5G0E9VIx8fc7cMZuDRklWVWjEtscdk7iIhEijRm+j6SC31CbEQE6vWpF1586Stf+8aJU2f7kb1+a/13l95JEvartenjyxubu1Qqt+bn2+2OjZIwNs3mdL1ZExRS5Ad+GIa+1mwSAggH0Z07W7udAYDe2Nza3d1+9pknn3vyWBQPFSLFQ6cIAyIyCloRCfzSk+fOXbp8NRyG9XIJEBhYABVKtLu1de2DpH0zSHY9T0qVlvZ8pTQgkdJAGrXv4q1Zc11MfTvojAHn00l9N8W9lG7UtAQr9d2kXiAQthYwyxBiBhZgseCc/wIAyCyGLSoWVybMViC0SoJmc+FkeWZFlJcAsVDO/fd29X5NQB843XcQ+AsB8AV9UpLRBJX8SziCZZO+HunLybLXBk8soE+Q9HaH7Y1AOUc2MWoGA8BICiU2aAe6GpaWt21laEHpspSVxzaOTGwBVQmVLVXJ1/K79z46NT+7tLS4ur6GOti4c30w5FNnnxp0O+EwDAeDtdXbSdj7ylderVRKSYL1ZmNra/30qeWd7d33370wNz3zq7f+tXAiAlFSqqpqtTWz3dlu37yxsb1z+sSpM6ef+PafnP7Kd3/0i5/+zfvvvLVx+4ZSCmwCydDqAMUjVAAiwIAkCNZaQSsIrgW9FZO2HRQRhwdX6Bc/9pbuhQ1SfFB0TYudy4cIXVNDFiPALgBpjBXyFpaOvfnmN1/98lcq1frmbu9vf/VBP5ag0trocqVa9/xaP0G/2hgOhmsbW3EYNmdmTp446fsla+NeZ6ferNd8H4i2d7qepkq13gv727uD23e2t7Z3QWyjFvieLgdevarjMEQVKEIWJhQATpkvUqM5tdX+XX8YzaACYURRybBz59r29QsBD6ZKqGtN7XuoA1KatEbSpDxABejSfBDRcfB0rzj7STKwtnzvObWe8ng4Zq2lQZwTB0CcVBAWdl0a2dkE6OwAECF03X8ZwIIAIyWMBrTfmmsuntHVaUMBZ5lFmIaysVjfcIgM+Mz57+fK93B/9IUAGKG7ct77U0YeuApTHND9BwUYnfc/9YAolO7OHYj7pNBFSWNAtmKNTRiZfFsJOlBZj6ptDvu9KAhKQxP7QaCU3+8NtRcoy2JpZnGmO4w+urq6sjw7Pz/f7rSvX75QbcxGne2ddmfYC/v9dtjnhdmpkydW1u7cnpmdicLhwuw0W3rv3SunTz/1V3/5b7rddV2qsvAg7DRMxQ9qSjUGia3W566vrq1v7wDaZ585//Xv/Mn3f/gn7/z6Fz//27+69PH7w2E/iBUFWoEAW41gwBI4tV0cggSQU/1dsHZEiBZ1/+LS5QQAijwEIQIiJAQkELEiQCTMHCesveD5F1/5xje/d+7JL4l47eHw6uru1Zt3QJcrrSZ6pZaqeV4QJ4Nmq9poNJIoiga98vyssZIwD4fdwPfr9XoURbdWVz2/YoACr3Lpyu3eYHj1+s21tS3f8194/qm56epcq4LMklhPYdgfdrtdK6xJABMAAkRreW1jIwyjMAodPE+8u7l+7QOze6MeSKkSkPaV8jztgSIihaQBNaJy/VUQyIGBpkAOBUa7LzNNIZuzrB8QYbYueUdcqy7Ywz11jh+n9TtvEAJYk+VMScygQ/bZqzRnl+uzS+DXjOjUoYSc+TGdx8hlOKX0kPjsiKgbpckvi9kEjxN9IQCORAc9+Lv69B/gRcfGz10cAChiAdJSHRRGJBQhSHqbtxASBmJjEsMJaElsEtvIqNLs8Q9vrP7y402aXeQg8T0Y9PsJJFYAgZRWSFSqVpWq77SHlfrc0vKp2zcuah4cW5rf2trt7G7cvuZSu8lEbVD0ta/9aGd3a2p6CgCtMQsL83/9N79MrH/91q2rN24q7SNq5enhcHdzU8qlWq3a6rR7qEtLx2fiaNDvtX/7u/dvtFqLc7NPPPPKy69/7datq7/5zS/f+/XPtzY3jMSEgihIQhqQwTIhIxOBFUrVVHEdBiHrhVwMAAAAM7umXZKhESCiS5txS4sIzMAAxlgAnJtbfumVL7/y2hvnzj9z9eb69dX2pSs3O1FcqdWrraXYQC9iOxwgqnLVsxZXb91WiFPNhkdsjGWWbrcfm6TVqPu+p3R57c56azqIE7l69cLtm7fDaJgY62v95Nnjz5w7tThXv3zpw26Ay8tzSTj45dtvc3jijdefZkkoS8ZB4CfPnv7pj/8q6W+reHZj9Xr/5sfK9qar2gs89sqoAhLQSkB5qJSr70WkLOcJmFEwDeSm91zIoRhhc5KZVYU95yK42dcpqr/L9xfnFhJkZkEWa521wKKsiIgesvIac9NLJ0u1aUHPiqs1MMU9fvTX4UHRPQ07Jhi+sAAeNzrECXOIvnAUOsQIuO+dnaq3owngqZsWRUw02N3QRCxpOrxYEAZjbGTU7a5c71Wu3lmf1V2/BuCVATkgnSQxM2tPE2lrmXQAJI2pKb/sN6fnbl18J+y1z5w5W6nWb6/e1lpNz8z1If7S8y9MzzTb7TYRheHgqfPn1tY2Pvz46tPPvzawt8uNWQqqYZIMoqiz247CuDllGvV6Y7reC4dBXK7VZ6IQOp316zfvXL127cLH1alWo16rfPUbP3jy/JeGg87lix+8985vtjfXEAhJg+cTgzAPY+NppYiIIGP94vI4pcDXioVdroJ3TzaQIAIqAoEwtrGRUrV+/tnz3/nu90+dOgfkW1FvvXPl2o075fpU0JyLN7Zr5SlWZWvtnfVblXKpWimHw36tUg2jeDAYRmHYaNTJCzrdNugSkb++06tXq5vr28MouX37Qrfd7nfbScKeT0+cWpluNVaWF6aaJWuGrWat1ar1u7vvv/u2r9Xs7EK7PZhtVlwsQIQV8HTVn6kS9dZuvrvBYafuSykoa61JB0weodLIRMKkgRy6Q8GdAgJIqU6fZvlIXkEwouGKAAsI5zj7aZjAfeKsg32KDJSmUbk4jLXWSWIEYqZYIAYUr1WfXarPHgOvapAIMh8TAKTNkPeskYfR4vEL2pe+EAApfUL+flc6irJwRNf/Pqek8TlCsC4cgEqGvU40aJeJWBDQakRlMREBULGlHtSXzjyp3t7a3Vqf0iVj0DKXVFkw6UUDUp72QHsBkALtNafnNjdvR3GyvLxsw97HFy6cf/rZlZWlO3du7m7dDvzglZdf6Pd7zanmcDj0tE5i84u3fr3d6fzklz/fbXeDxowXS5W42vCbjdrW1navqyul8tLy8vra+m6n65cqkZS6ISVRVPGs7+to2N/dWN+4vRZD8MyzT/3pP/wDhfHFjz9IEhP4ZSLV3d1G4N2d7fWNdWuSfq97Z/X21ua6TeLhcOiAhlwFGRGmGmuhSa+1Fom0UqgoYYusavXG+See/NILrz793IsLi8s3bt751dsX+gPbnJ4TraeXjntB9catO6JL3dDs9HampqdRqWE4bDWr4bDX3t05feYMAGxtbUSJaU5Nh4nsdtukvHAQbm50rl+7GUexNWZpYaZRrWlPT003X3vtS4j2g3d/F/W3T5868eT5J29fv7x25/pzzz5T8kprd25+8P7HX/vKqwgCaAlRbNwoqT/94++VuVtOuFoCKJXJCwh9TRpdB12lmAgAGcl1VmGQrMEuAAgCutQihBQXkMB1V5G9yLmAS6l1m9Hp/C4GkFZkcXqyMANw6vwRSGF/IMWMNswGVLk1VV08G1SajB5LGrlKJ5C2kndFZgDAWRbQ/jDXX9CDpd93AbAvu9+XBT8MD89k+BcOEAOHX50BDCmfExGVUKDQBMBrd25gtK2IGMDqQEzoWUkYuaTRNkJuBJX6H/5Hf/df/st/ubu9Wqs1vKDW7feZIzExKQIx1qCxXK6Uo2Qw2N2cbgTL009fu3KlG8aXr12faTafOXvq5tXLp8+dQI3REGiYbG2uv/LSl9/+3aV/9+9/5Zfr5brfaMzsSqfULC8tLU9NtaJhrzm7zHE/0KjZzDTqncFgc2MdlK61moM2z7bwT/+jPwwQK/VGaJl1uTc0YTiUcDi3cPaXv3mfVLiyMLc76ImNj596/qU3FiJjKtWyr5iTgYkGN27c3Nraae/u9LqdMBp02t3r1292232t7YmTx5fmZ2aaLQRvo70JKli9defYidNPnHvqyaefbs3MbG6326G589GNna1OUFvQVZqam/XKQWRspxcLlYKKIsJ+b/fOrWvLi/PWmqnpaUAJNFTKnqd9RXRnY/filZtJYjY3NhT6O1trxpjB0Hq+PzVdeurpE8sLS7fv3BoMBxHbXre72xueOX26vbn11o3rV658/MO/80MWuLq6pbh8+85ga7s33fJk2LNh987tSyuV4ZPPLJY98lSglGbPRyLSypVNkfKKaNfi+jxjxkwxB/EnF8V1dTST6dSuwFcy+xIxQwzKYiip/wcsi3XmiTAIkIVYxIKIERmy4qDVWjxdnVokKrlXjWAk1ydT/tOqguy7cW/nPbxXR6aD8rMnD3ssvf+O8MqVK5/1HO6fRCSO40mv3H0/rU/O5e9phP3S+fcf6q7DCqJiC6gYCcFo0/vob/+V2vlYk2KExEIUR8nQRlHUNsmNzfLt8tkeq5nlk1tbOz/7yd8Mer2FxWOggsSK1jph6/sVy8AMpVIwHPQGO+vnTi1srW9VqnUmXt/Y3Fq7c3K5VSnRt37ww5sbndbUsjVx4NnTp87+P//rf8qqbBgXl08kgmEczc7NsVCv16/XSo16aXa61qiWbt+4CYD9cLDbbiMQWxl0Nl97/viPvvH67976bS+UXmSHYbjVHSbGbq7eJNSq1CCkqu9tdgbNZq1S9muNem84mJufSaLe0tz03NIyIYpAo1Ytl/04jkxsr165cfHabaWj73zjTY97KomUqE5/xy9V1nvyi7d+G5RqRlAHutGa9oJqtdqyFsvl+na7G9mkOdW6vbYWBDXPK/UHvXA4qNYqIjw1NRUOB56nAcEvVXvdnlJ6d7cfJSioNOmLFz4Kh90k7E+1ms1GYzAYnDqzcur4yuz09IcXrty6eWtxbn5ueurd375Vr3jD/s7Zs6fmTp67evXjTnfn/LPPzc7M767e+Orzx6e8sHv743rZr2iplZSviUgD+UCkSJAQXNdGInQQD0jOQ5PLAlerlSf7Q1r8PNqJt0BpLQURWwsgBALi4Po5K7gDcvk/zMKWxTJbZsvCjCqyEKNXnVpqLR5XQV1QgygZ2a7Zxj70Tf3U2O5YmsDkr/mXMlp8GkXRpzLBh0WPmwVwrzvmEwqMfSfwsEND+15CCQsCgkUhIhV11kz3jo8oqBUkCVsWFJA4ibsDE6mpoUjC+PHla088ce6P/+Tv/Ye/+PP12zemZuZ0uRUEgRYIIyMCYq2RKOl3ji3MXL50CcnT5cbWTkf5lbnFYx9deu9HP/gmepXEdCxLe2f3S889+d47b1+5fEGXG15QFcRKrbF8/Lj2vK3t3cD3bWKvXrk+6E+//OLz0/NLjUa13d6ZmZ3qtPvXrlyJh+1BtxqH4fZOf6ttP7h83UKignK12Vg+c252bqHdjbe2dm/eXkWv2gnVRqcH6z0kZF2bajQTrH94ecPzg87ujjHR9FQziZN+Z0DoWeu9/c5vq0F9ZbF+88oVhf7SsXlUQ682ffH6eq1uT5x5YnZhrlSpJhbQrw574cbadrvTK1Uq/Xjn6rVbvh+cPftktVTWqGq1xk67PQx5amqh32v3e33QzaDc2lhf39pud3vDIKjYJJmZnYoir+wvzUw1Tx5f7g+H7U7340vXa7X6wsLsxp2bg/b6drQ9Xfdq9fIrrz7THw5+8otfKcEXnn/h4rsfhYtb2LvdrW/PzQbHG9r3UHva05qUAtSCGogQGAmBCFwogzDzrjhdP9deEQAB0ypfBEirK7KM2KI9mgcFmK3zyTjnDwunxREiVliEgIWtc6kZBstoE9YJKF2bmZk9UW7NAXlWBGQ8vHs43/+CPjV63ATAvdLRWf/ROfvkkcWA5L6nPACZIcCEBA53hbsbN3TSQVKGrXBEAsKYGGPipDfEvvKGUbTT73UGptGajvr9b33ve5c//ujt3/3OZzTJED0/jqwiVQqCaNCtlHQUDpUXTE3P9yNjRIGVYa+3tHzs6RdeunT9Vr053+32fK2mm81/9tOfeRrDqIOKBz11/eal7d079cYUIDUaU74uNZuNUrl8+fpNZNaev7Jy/Ob1K8PAnjh58uJ7G/2hWW9HH13fOvbE8/0rG63ZxfNPnm02y3MzTWtZsPT2Oxfaw8QaisXG4CEqRFnb7s4vHzvx5DMfvPfBYDis1JpEXCr7WploCB9/dInjvomTd9/94I03/mHCfrM1v3Ri+cbNtWaj9pWvf+eji9dFVROs1MvT3Z3drd3t9c2tbnfgecGUDoLAO3HilFKEyNVKpd5orG/tsKhBaGZ1JQzb7XZ47coHm5sbSFJv1IeDXr1WUj4tzU9VyvM3b9yxSdJsNYJK5eMLV3q7W6dXZivao6gfg/Ga84vHz+52Bj/+9UeraxuvvP7GTGsq7u3I9urCzPCFpxrHZ7BesuSXlNZKa4dYJwKEDCCWFBABEmb4qdmGogLr39uTCBluXFr9W1Bs0wwfzj1IrtorLQDgFPwHAIRZTGJEUICtsSIJQ8xiQatKqzW9VJ1ZEl236IkAgKHc4QPwRXz3c0WPlQB4eNr3J0zUOfzX+4sPj33DQALCQITI8aC7ecsTw6KEE7HWWhGDbOLE8sCUdyxUmtXtzkY58Ha3Nkxib62uHTv1xPLxk3/+v/5Ze3folcqg/FJQBZ88D5F4p9Or1aZAe92drjEmjoc2Hjz13PO73QHpsoja3tp88ZlzVy5dWlu9QwRV3/M0BZqqvjZh/+budqlUV0ghdldOHJuaaiTG3rxxZ3t7Z2tzqlL2dnc2TBhurG28/sIzvRC6EXx47fqrX/vKqWMrg507w51VXU7QmP7AqMFmZ/2mqtTmF5ZLlcVSpaIURfFQBaU72+12f5gk0cn5YydPLO9ub2qlBTfIv9UZhgOjbq3vDGI+9/TT1mCjXp2fbSUJL60ce+s3F5aOVxj8zZ12ktj19a1bt273+r2Z2dkg8Oq1eSKYmmoaEyOZUjmo1fyN7TYn3uUrl65evnpn9XbYi+r1qtJ44uRKa6bVHwx3u21f07lXn1+7defW9Wu+JyvLy531W8qGN97/9ZkTx5Zma36tGTRmfvHuhzu7vamZuXNPv9xqNnmwCTsXf/DK9PlFvTKrfd8jr6KUQlKoFSAhKRRG12KFFJJr56hcRXS+R/aJMKUl4mnFV7aP9vI+MU0GdVJCEMDV/DqjQTLUPGYWwywGgBM2MVMsGnSjPjVfmVsJyjUBDUCYdocHcD4fEcFCJ+FHJI3ycfX+O3qsBMAn30+Hx4Lue5yHUVk2/o2LyqFClKS3Ee2uB8IsTGABiNmItWzjBL2dyP9w487Z6sJ0q2GFbq+tT8/MhXH48aUrCwuL3/zOd69evfz+Bx+gMf0otHF5bm66vbPVH/YrtamNrS0RSyBJEpbL3smTJ9c2tmbnjvd64fzc9MkTy/+f//afNJvThqXT73voIWOjWqvWm3G4wcbubG77gZrqNaJG2ffLSwvznXbn2tXrtVo5IAk8GHQ2m/WqJuX56oWXn51fmRvsbE5Vkh98+fXF2ZZNYt8v31zb/b/+369fXdtU0lTol/1ao9XsdAkAdtrtfpw06s1eaG9vttu73UqpsrbT7RmrSuWgXAUTra6utqbOx3GkCeuV0trG5lSjsbm1qa9ca3V7nc4uWxuFMbKdbtXPnjleq9dLpbLn+SgQh5EfNJmpWqp+uHphd7fb7w9QUAxUqrpUxkarubi0EFRqly5eiYfx2urWnc3Os196/s7qrQ/e/d3W6o3luWZJNU4dW5hZnOvc3PjFu9fawyuLK8eOn1qqeDzdoNLuhZVqcuZccHLGq1V9Xa6ACkgppVJIPEElpASUU6URs6SetCKEU4gHV1mF40qD477Zn1mBsYv4SjocuwRQtrn5AFn2lEsNsmwE0DDGIokoq4JyY6E1ezyotBKvlLAQCILN+wcDELqAwyPIS/ctJ3xs6LESADk9PP3iU3DxH371A39D0CBWAMn0t65T2CVAI8ZDiEHHbG1i2JohVzpc2QmHFy7dOHXiWKtRATGJNZ5X7vdtt9cz1j5x/rnpmfm/+g9/aePExsNA8XDYI7FxNLRJhCRiJYnDmenmIIq1FzBDr9ddPrX40Yfv/eY3v5mZWVo6dqw2GHS6/V57t1pviE0IZbrVrNWb1UY9DIc725tRGIlgpVJrNGrbO1sVn+enG9qjRqsyiLpTzfrK3PSgu9Xwhy8/fbpRVmHcZ5OAhMsL1f/L//kf/pN//q/L9amIvW5nZ2Ptdq3e1Nrvh1G/NwyHSbd3/cTK8u3Vm4HvW8PtTg/DdjzYrlfLg143SUxvEHcGIYBn4rA5PdOo19fW1oNqTQD9UnmqNb0wO91q1ZQn2vOqtVZiII5iiqKtjf7G2qXtzY31O6tKkVaeZTm2MDs1W6/Xy81mvdUI5hZm4s7m5Z07nd729Xd/aebrs7jpN/TCjD81v9CPuJPoX/34/XZvWKlPLS+1yprnKklJOote/5lZs1hXrTKVg5IOGqJLqIXIoNJZNW9atJbWziKRg1AD3FPkM7x+JMgO33Pq7NmdGbgypomeDvhBxDJmOG7uHC4IAGabsDWsYiarKkFjemZmqVSbBgwMarGpBcHAgIiutYArGdhzAz0auv/vAz2eAsDRZ8usHx7lysjeWw0AwMQsStiE3Y0b2sbkKRSTWI4T31i0hhMjMQRDKVVaczs7Pb5y/czJpcX5mfXN7XDQHfR6jUbr5urWtWs3Xn7h2ddff+P65Uvbmxthvxd4BGyADZvQsrWxVKvlufn5Tn/YnJne2d5u1mvnzp35r/7L/1u1Wguj+MLFS889e+706ROXr1xLjI2GbbHD6anK4tJiP7JlDFqN+m8uvsUW5hcXSREQbHdD7anGzDQFGgTqzXopCIZDPr3QnKuVut1eUJ+amZ2Lerthv3/u5LGFVu32xsbq1mBjp2csBpVqa3aBvJKJh73ewPdLO5vbSmjQ6UZxEg/6HPYG7fZMo761uRlHUWLiQX/QrDQD3w987+TJk7c2upVq7dj0scDXgR/wsD8z00It/WHY6fXaO/1bt25vbm7Gw5jYnjqxdP7kXL/b3tzaNCwnT0yfPHkKONnavnPn8u0aDqao24Bt32uf0uapFn3zzROKfL8++9Hq9u8+vCjBXKM6szw/PTcVBNKv8O6ZGX+5rqYr3Ai0X9HiI3tBopQiUgqQiMlD15NFBMB17wIQEsB8myMgEKJz3cAe1EOmN+S+FxQRZAEAFtfPC3OjAFybRnBNHF3rLhERZteRzSbGRMbEpMvN6fr0Urkxy7psRTEIAmhgEWQEBgLXZt7Zpo8s0x9L+3nM6PERAGM88WGk7X+SE4sO2XH2fUBx+UHfw2RJOgAxGSVAzLubZndde5AgKkOhYUpCFdnQxP1EbyTNtvitWk2JX69Vf/32h6dPrjx9/vzWzrZN4t3NW+HWTrdz86Oynl84vbzSf/r8yscXr9soJF2JBJjIRENP+4szU+3NzVq92el6HpnTx1c+/uDqtRt90dVyvYIW3nn/4hOnT588eXJ6qnHl6uWST5AMdjZvTS/Oz8wsdHYHvi7PL03XapXdTidA1Q+j2zc2FuamK+UagF9vdCoVvb7erzcaoU0S4c7abeCkXAoEwVM826xsrW+89swT/+bf/nVvEIYdvX37mtK6UWuiV+qpYGFx0SuXpYsAoe/pxIBWfqM1vbnVwYTDYW9oGn4Yh4OoMcWlilep+bGJE2s1Q1CuJqrUCW0Ux7327tqNq7cvvj9dVmdbtZOnq3Oz02efWFhYnOl22rvt2XKpqpBKwZDZtqdRbKVR7/lLgT3/fKNWnquApxFBrKAFOnss+MqTrchAGHE87NeDsIRxRetaCcsBBb6SINB+QKSV5xDcJANxS709jG4XkZMGKBlij7gjBBA5z+VxcG2Zlz9HvHCxXREBFNf+kZFAGMAh/rMTEGyBWYAZwDAnCXNoIGY/qC625k5WG03SvgFyGCQOZjqrNQPXlyfdyff4Ln463Pagq+zr7fnCBfQo0UPVNQ7hyw/1omMCY8y+EQIRRObu9rqNhh4qYyxZw8LGmoRtYuwwwQhVAujanczNzSPwBx9+sNPuP3HmdKM5FW9uAQxtHA47Ox9evfTkjCoHyz/6ox/8u//tL3xq2CgGZI6GJ48d21y9EcfdmcUFw2puunnm1Nn/6h/9N9VKzQj0doe1emNu6Ux7GF779VtPnn1ifm75/FNfunb9Sn+wPdzV1Gxt3LmpNLdmGs1ma25+4cb1WyaOA612trbi0NZqpU67Y0ySJEaw1O3FiLR65/Zue+fEiRMsMkySISf9aPiffPsPVk6e+Uf/+L8eDIY+6RLpzs5qL5Rya3F7e3d+aenk6bMKGBBXrww6vGUhYqZOrzcYGN0JvZmG8Ut9K625eQmanW64tbllorA/MxNHFuJLVeiWzdabS9WnX3/x+EKzXimVvZL2CICJ2rqJcHwKBBHJCjAT0QKAiDWIoqiMKKQ0ixW2WkTABh41K2VjxITdYd8k0cBXEPi+V9JeuUSeT6qkSCMqUh4ACTm0CgBAQXGA1ak3HZFczZSkST2p938v54xEBEeMgFwcZMBRKZ6DgDAIMCADgYBYFjbADMxW2DCEiYQWdaUxPXOs3poDryLoxIabXLoND8fz+YI+b/TIC4C7Zlg+NrSvDNj7FYWQlE2Gu+toYwZBQUHL1iZihyYeRCaSKtXr2IMgqJjERnGyuHKyVG1c/PjCz9965/jKkqfV/FJzeb5uwv6JevdbZ461a5WpxYX5xaVf/PZSfW5eWE4cPz7o98JhP4kH/Xa7NVebm5lv73YufPxBEFS131Dk7ezugOcfP358fvHEjRuX3/vo0tfeeG1hfhZlhpk3V2/22muB7/kemGQYDhIiWFqa98m8e+d6HMVYS++pXC512v2VpTlF9vzZM3ESJUlUqTV2O/319d1SufE//PP/8fadzSQJq9WyTczOzmbMUak+I2wGvd7Ozm6lXvFK/vMvv4QAg2Fne/POU2dfA08nCYedflLpev3Ymo3peHD1/d81m812e3umVl4wyYmFUt0zJ2amV6YXWxUslTwKfFRKMEnbhVHq7Hb6tGYPtQZAZgvkgQgAC2BshEi53FwQq8WgGI6HMNylaFgl5QclLyjrUpn8Miof02IuElSCLurrcKCRkNJmmJQ6+h2EAyIiuGYqILlLJw0W7MHqpGyfsrQfkRzhWVCUFUG0WVd3FwkQa6wkYQIRK/AbU4tL1Zl58mtGFLnzXQhhD8pHJjL+P9f0wMuAHjl65AXAGD2K6WVHn21RBoydxcgoCqL+YPs2SkJAhJCwNbGJrUkSE8Y8pKCTCCillTc9PeMFQWTErzSPnTq/u7159fotRWLC3Zefe3Z5it6cO+MPO8Hs7PU7nfc/ujIYDLx+f2l2+uyJYz/96c+YOYrifr/vVbfrjerM/PSf/sO/95f/9q/W1ne8oOqRGgwHV67eXFk58cqXv3Ht6ofvX7wcdruvvPTSa6++vL5+Z3trHUk2bl6Zm1/a2tjZ3NpZWJgzJiSAQa+/tOjNzU5NNevzc8+1V68kSYzalgIdhoNqpdFszf+//7v/4Z//8z/zghoqjwFrrSaUSmeeOu37vomjYcQWS8fPPMmkauXS2vpaszV18unny4G8/e//7K/+7V+eeuoZMkNY35prmlp5K/DUl54Nvn3mfKNeK5V0qeQFWvlkFQpwwnGMgFp7SvlIGjSLAJEChx5NBOgaorvGtZh1I0MEYmZymPiAWe90wyayJmTWQVD3tKc939O+ooAgQFCCgkSZco8CwgJEREojEgAIpyCmwJJyeefKcfwdCZx3P035ESg0xSxwOgEQ4RTxDfP6LzZkLQNYY63l2MLQIqpKY36lMbuMfsWgMoAsqMGlGxUiCF9o/48gPfICIN/W++bU3zUOvG9+/T1x5MNnVdTZ3fTy8fe90EH5o5OwEHv3m2aAAqFE3U3ub3vAAAQsiWFrrE2YExMlGJeqvZA9FVhjlOf1+oOgXEflA3rNqRmFuLl+h613Z22jojZWd3eq07OdmD66cnN7e+CR9VFOHTt+4cJHpXJ52O9YQcvc7XQS5g8vXf6jv/v3rl2+ub7xTmyMVyrNziytrq1duPTBMBnMTC8sr5xVaO7cvvYv/tW/XpyfOXnixLNPntve2rxw6dLW2vV2t7c4X7cmBDHb2xvPlZ+r1gLDcb3c6ASV9y7dOHlsYW56Sny91Vf/7F/9TzdX23////hffPDhxwtLS2fOPnHl2pWV48efevqZq1evz07P3llbX1tbWzmxODs/Fydm9daN1Ru3zj79nJlZXD5x9uql97ZvXK2HvReXWk9We7V6QAiep/xgQSE6H4sACrAVFuUDaSIi11GdrCAiKREUQSKFCACKEEgJIrJNvTSIQEiC1nKIAIkYdvWzaA0YJla+0srzPY9S8AYhElIgaV9KAADLFpBIkUvx5HRHkQiAsHP5YNrTMS/wwqzYy+2RdLxCDCCNEDu3URr2dbBvbMBEzIllCBMYGBQdlOdOTM8ta79hRTtMUhJRyDlYG44U9Y5YqPdX4PJp0tF1/8fVSnjkBcAh9Hl7Zvl8jjixfQPCOApNlWX+AQkQJcP2uuaYEBNjjDXGSJxYE5skSiIOjF/n2PeImKU36IdRgspjSLRWhKUu4NT07K7hza2d4zPYOPFUV1c+vtN9+3c34iQGM2icKO9sbUehaU7Nbm+uVSplX6mNOzu77X739la9ftEvzxiLSmkGD0RazWY/DG/cWA0jG8X2iSdOrwT1MO55Yv7mb3/68YcXX3nxhdOnz5Lvr66vdna2OIkCD00yJMUzs1PNVtMKBrPHvdbSh9dv/OR31yvV5q9+8/7VG2tPP/visWeefffGepfV9PIp9kpTranV2zvvvnvxyWeCcr0V3b7V6e4cOza/trpWq5RqJW+mVrkTW6y1/Epl58K7bz598oU5VS0PvfKsAyfWXkBa7605s2IUECYFSiGRkEPZFAAQJNc3gQlZBIHIpc+QkGtUnColLFaMtUmSiMuyR42qpD2lKdFKk9ICxKhAeUJKkUdg05TMLEMTAVOZJOnfbiM4Ji4Iwq4T3B7zz9rdg8ND5ZEobJb7mXFrSdv4ClvDxiYssYGYSuWZ+dbcElZbADpmhUgAFoQJGAUsjqN1ZjP4gh4lemwFwCPkC7oPmrwvAmIz6O2ugQlZxEoibNmSAWIrbGyMyOW6khKZBDwlSYwoNonD2PieH8Wxsay19sq+6QeXNnfP4UJz7uStq5c21q97ygalyvT0bLfbbbSmdVBSWs/VmnbYi4fJ1vqGQe+f/Hf/o41CQhCwmpQBS9pbWVnu9buJCY1N1te32+2Bsf2lhekvf/N7lz784J/9qz9fmJs9c/r4+SefjYedt3/zVqe9Gw4HxkQbG+snT52JEntne1iuVCvTxz+61l6sT3m1JV3j3aFt94fd/nAwiNbW16uV6tbWzsULVzc326XVmytLi7VGs1qpx1FiElMKfN+vKIy6u7tGqNGo8eaNGW5BrJEWgnJF+SUrgFq5/uUEjCjMZSUCYkFM6oNXSgARLYgAWUFFyvW/AkRK015cm1wRYAY2BgxYMolhJq2Vs9eElVIeKaOIABUAAipADaCZQQCYUIECREh71GtEJYAprjUAEGSJmmlykAhLWhEG6MA2U8MwbYOcgnoCirCLGotIiuVmrTFWmBPmQYyWKqWp2fmZRb/aEtSuqAsFEG1Wy0Uywf0B0ms+nu/b40uPpwD4vOn+90cH+Yj2lWoOAWLY20a21hrDFtiKKCZlWazlBFVMrg2TDMKhSZIwCq0VYWBj4jhm5mqzqcgOWHba4aVBpX4nfv/Djz0viYe9r3z5e/3QhmGkkDTL/OzMuZXWlcsfe2TX125Vm3ODwaDf3kW0zGGtNl9tzMZxKBg3GlXEVr3e2m13oyjsdbqNem3l+LHn3/ha39LOxsbGTv/ipatzLW9maiZQGPieMG9tbQNqBN1pb3Y6Yac7uH7jDmD55u3VXrdXr/fWb62iFWvj2zdvNlrNre3tG3dWozgxNul2Os1a0xju9yMkDwgN2EHU63c6yTD0wRybrYntkj9PfhU8pcu+cKrUi4gAKxSS2IU0ExYWRmGNBgBYCImcys0sLIikSWkRFNcZF9hhJgAzCRgxzIki1JooTaxnRWJQ27Sqy1kgTBKjoEUPM2QfRBRU6NB+srwdFwCQLAoAqWGBuQfe+fsJ0DVpoUwwpJ28AASA2TIzCpsksYaNMTYxBr2gMVeZOebXpkUHRhAECJI9pyMIIDEoESIwmdMJMtMDctH0BT0q9MgLgJFMmEmAhEMlQe6UH0+pHM3Wvw9j4iin3HXAYorCvgdn02YBNKiws2Y7mwiAYoEhtopNxJENTdJhiINGP/EGYRIPhmFo4jhWSps4iqOk3qgzJ0GgWq1mUgk0UrVVO3ni7H/4d/8+iROPyksnjykFYW+j39ttNKYapeozz78+W7eNUhfevsSDnShoJvEgjPtIXlCpK9ThoKc8fzhMyhW/VAosMBDEHHtlPRgOL1++NjUzffLseSO0ttttNWbWOhumt73cpGMz1RppbdWgF27vhh9fuDgMI7Gwdfu26Q3i9o7tdTZvDHAQ8aAXlLz25tru2sZgOAx3Nxjsxo1qD7f8QEkAy8vLIHprp1cvee3YdLrbyc71M+Xo1MKSJSbtBeiB0VZA0GgmZEoAGAxLZG2imAEk4sjYxGMkr8RKGRQPCIx1NVJKlzAgKwaExFoQh5wsyMLMbIwVAwSkCYFExFhwoVsRS6gQgJDcHmUAQnTAbg6L3wmCNJGTMC2mFYfiplhSpB0WzrcKgYsQEKBFcRFlYmZMMX3ctC2wETZWTJxwFEPCBLXFqZnFamOGVcmKAgYEC8CFxiwuzQcQOGvYi0Wfj2vnkm/doqPyrtv+U0v8v4+0n8e7LOCRFwCfhD7bR3jfTqp8H2chZQFAAh72uzaJvbQECKxla5lNYoxEWFW1OacgR4kdDgZxkpSCwKUDsknAxtVqVSNrj0oLs8dXVq7fXL15Z6Pemg6j+MSZs7dv39DKC4I6o9rc3frtu9uvPn/22MlnZ2ZOf7Q6WOuFSWLYsPaxHFTEShQOPZFKpeF5HojE4dAaQwLKCxJj2Uo4jJVWs7OznR3Y3t4sl3Dl2HL5/8/enzVJlh1pgpiqnu0uZubm7rHlirUKhUKtPV3VNcNp9izNFgr5QM4DfwCF/4nCJ8oMRSgjbFKEPRRy2EN2TS/D6q7unlpQKwpIAIncYvHVzO5yNlXlw/UIRAGZiYhcgMwAPkBSwt2vXbtm91xVPaqffor73eHq6vpiGq//+N//wTTVupuO12sp9bXTfjpcv3zUbL3udruty+3dDRkZ9w9v37oL8/Slu2vmjHYfsLn/3pkJ9vKt77Wr7ZyrnhztuU7nb7nh4W99/SsnjTOolXPhCfNQIqgh0GpqXYagqFThLLnWHMEplFgZTG+KBY9RC8SUS6m+6VrfiooyIICoEKjc8GpURGutomwMogIzq4qK3BB35MY86w0ZH4kI0SJZpKW5lxANAsEP434AkIWvj080PfFvzU/UZdQKIqAB0huKD4KgPl4RGViAtRTJArMQteujk7vt9o6xDSvK4/lyCE8KEb/AC4sXwQF8Inb8Q8g/H7+Q8AxR/HOf8Cl+EQACSZ72lyj1JhJbhnKLlJSmxHj86v2J9jyr0JgSCy/jA0PwKoooBrVvXJoOKR7+zm//zjDlf/dH33zptS81TWMNTCk17fr09O7Ds4t+08e0+6M/+sP7793/+7/3e8ebbnu6fnd3JgxNaF3TiWjJWb2ReSIkkdZ5733o2jbGuet6523b9bUWH7xzzlknIqnkMeGcx6moa/rf+I3fCm2j4O+fDyH48bAf07AMv/KtQyOvfvEOc/n2G3/zpa+8fvvW3c22PQyH4+P1l1+7V2ecs4jy4eo6Ax1y3F9dPnj3eyu++Marm2/c3ayRCXGaxzYNrXMIgmjFgJCyWtFKmquUPOyHq7Pjk6MYZ0U0TSOQOO8PhzFV7Y9OmqZFNMskxJshV4v3VWGutRRmVhBAUmBeNPcXEv+iwcCIaJAQkchYIoPGPJb1N/C06YfHNP6FvrmMP15yQSo3ZPwltn3clyW4SEMzgCqIKovUyhW4lKKpQKpAzXp9cqc9voWuEWgEUG4GRir+ML3zUZb6i4QX7xM9jRfBAXxS+KBs0ofb6Gdkmn606/kRFukHn1aRUxyvUSuAwNLOA8hVckpsVu29rz74y0dCNZbKCqUka1wutW3bqnWextWqQ+XVetUE6Fbrf/4//P7dl17rum6/v1r1q8P+yoCbc1ZjE9Odl798++zirTe/90/+6e//vb/7G//xP/pf//G3/ykDudC2qw2RSymKiDWkwsq1JC05G+sMme3xcS0l5woIDx8+NITW+6Zvg2lqzZzwW999r1l/+3o/tW3YXc/f+u790Pirq7M4j4sNNMap6Hf+6g1DVLh++8++3zStCK8365zjN1fNqj/pt0fe67ZvMYT1yp32t756pMM2/8bt5k6HfePJGUBM4+DJOQlVuVIGqkCOmRErEaTh6lvf/OPXX39VnW83G+mup/FwfXXlQ3fr3qvt5piMExFEWpj4iwEGuTH/zHW5T6I3EspLTF1FEJFZwCIAGmPROCACokXsE4250X1DAgS5EWWTx07gh8GEPs4K3XiLZSnAMvnl8UZBFZRZuJRSS+HMcwUJfXf7brs9dU0P4FRI0egP27rkh0JCnyY+g7b1Ry7pM3iFnyx+4QB+Ap5uMnjfAz7cN/zEYz78sGf0QwigZeI0E8iTMtyyCbDOo9mEk5fE7OZxLMw1VeUqZL2xorDf73OOr776cpqny4uL3/iNb/zVt77VtisfusNh1ziyKEYZyVxcnYEJws0hmle/8OsxluH6wR/8yV8+SK1af3rnrkhB61UQClljQtMggGpVZucbBLVkqoioHPb7vu+XmSSqYKxHSIgE5N5+79Fv/95605zsdrtmuxrKw6GUim17smmbxpBNufTd6vioe+ftd+owbI62r776yqNH9wkpX19Dc5pNc3UxlLwnqVfjQbkccf6t2+Yf/r1vnJrZ1qHZrNE5Y4IWGefodSbbktUyHTil0K2yMBc+jPpv/ui7f/Cv//w/+fu/8+Vfsg/evCLjjm7d257cJt8KWOXF0BYkUDBLUUlAVEXqMjeRYakhL/0aekO/kaV8DLC0FBMRkAUCRAPGLHQjQOCl7qoAoKSyfFe6iPnA437dp1bED7tGAEj5RrxTpXLNOaeUS2Wmrr910p3cw2YlaASWLBMZ5Ztc1E0zLwrQTdb/Q5fu8+5ff4Ym9ZPlBL4YZYBfOIDPIp73uUKAkuYcJ4PAparoQk8kQ1kw2mZ/vvvaL//S/+9f/auUMis6a0DBIKhyLZkIU4o5R+esMfaNv/n28cm9q4uHtcxfev2Vh+++Q2iqFhZ2oSXjDmPpmvXq6Lax4l1/PZaj423wIc7DXDjFvO46BlWFUgsZKrkYY6y1yjwcDsFZ5gqg1tgU55PjY5BcY8GqrBUsCGpmXt86tqYxjSeiu6cvn9w6uX3nzmZ99O1vv6Giv/u7v73562/9+Z//5e2XX/rN3/ntt37w5ls/+ME2tK+8+sWLy8uvfeOXT44363b91ttvvfHH/+YVmf6T37zz+skakqQ5YdO1fW/JeOuywvXZ949W63B8a9Lu9//gT95+51109uH52eXMf/7nb661fP1Xv3r77qa/dXd1+zXfN0q2MqICIQAzolowS/8t6o2m2g0fU2/Y/7R0bMFjXf1al/lbyyxGVV0ax4DwRqsHfmj7AR7LNT9uun3SBAIAN3JvgD9sDAQAFVBBlVprKhxLnTML2P7odjh9uW3XiI4VSREIFVVJrNTHPKLHDQewFBM+9zbuF/gQ/MIB/GT81JoJPk7vQo5zLZkWngczMzArl5oVIfRvvPGdO69/7bd/6zf/5b/4V7UU7FeIPHMqyYLwyem25JlrPlp1Z++9F/f7s7mkHH/1G18rZSayiI5LWq82WRwisdbDWJzf1FT79apZ35qm2FhMuZaqZK21TkQYpGvb0HhDlHNWNMa6FKeaMaXItfWhKYUAqGlav/KHi0f7/R4QpNaj4+M556PttrV0evvON37918k6BdxdHwy5y93FOw/uA1nrGmP8g4dnb/7gTVT91a9/HY1979H91WqVshrS1XqzteX3Xtl+6c5m5c2cjQ+9Dy0Za61D40zJmOP33nj3D/7kje+8ff03b741k39vN2fEzNXV9LWvv/bKF147feUVXG3F+iWRo6AWBZUXijwr3BR+b1R0WG+kOFERf5idWcw4C1cB0IWvS4YFiJAAgBRlEeMEAKCl3ZeWbA8hADAsOj8AqnSjtUyIP9ynLkx8VWTVKjLGPMRcwTabW5uTO75diW0rEy7agSRwI9UPQkv5gPAxt+cZywAfrYj1AuAFCP/hFw7g4+NZHoDnjuif/4kqOdaanSoiqbKoiGitpQKpaw+7i7Nv/vGXvvZr/8V/8b/6o3/379743ptS2TpnrPWNb5xFrsPuunPmMk77q7Pt9tbXvvqVq4uHKSXvN1fXc9t5AKtKqhLztF6ta2rN6p5CinPOqSBDKdX5VljI2M2qjXFW4HmejTHW2dB4EWAR5mqNiTGKCCgcDvt13zuDB9gFv95dn5dYtEKJ5eri6pCjHPZvvP32ZnuSct3tD1dXF0T413/znTZ0X/7qL50eb1M8xJTXXe9Dg4RtE6TyHMv15Qz18qRNX3/56Kh31tiMtum7JrRECICliE71aqK/OuPvvDd4nn/99aPua//B//2P72Nic/32b94N/7v/zf/8K6/dtb5FJCtVBJWQiJZuK0QCMopAKrgMzuKFaqkqAqoostjRGzN907gtylJyViBAQx4tGQBgVTR008MFDAi0zABAqECLKPTSdXYjPPRY9gERkQhUUW+av3Iph3GOhdvV8enpXb86rugYLTIiksAypEsJBBWNQl4UKX5YpX7y//fp+Xp6oX4e7eDn9LI/DXzuHcDz3sin2f3PaGc/5MhP5CRP4ydWCxCqggcgpAIqJFbRADDOI3FSNcBVUUQUmGfRAjSJcf1mPEx/89d/cXJ88rWvf+Nrv/prj95577vf++7ZozOH68uH5znPhFo3G9H5i198+Ru/8dsPH54d9ntQQB2VpyjHwTmuheOYc50Rq1TyJNVynIWL2hCanqwtpU65jvHaGNqs+5pTKcV6KiXlWvu2q3XRKYBxGHxwWSW0DrlYR3fuvZrixFreefhwvTllFgP64J13ciqrzaX3Ybff5zhtVush1nGcu74Dkuv94c6dV6dh+PM//2vfmGEY5lzHqu88fJAffe83Q173AUVyGVSKcSsBF1A08i6V751f/tm7733tV//Ol3/waDUOt17/pffuffWr+9vf+vM/+epx+7/9X/zeF17ZgrNAHsFYgQIGFroOGVHRKsbIEqTL48lZoDd0eAWlG/bOzQAvFmFlQAVS5golIxqPVrEKGTRgH8fyN30AIKpw08u7NOTCDRNfFQXIKD1mCqGCsrCKzFPaZXbt8a1X7vl+K+jLjWSEKiqiPmXUSREYbtT8ARTgySDfv0Xz/5AV+7kwpj+yvf68XPanjc+9A/iZ49PbAn9ARggfyy7ioj25dHmWtCesC42bRUVRRZQBFc8enl1f1dCujXEXZ48enV2tVv3de6/99u/+vXmOLFxyvrq6DG34wmuvbbowjONb77w7DhMzI+A4jtY6G8I4x2GcvW+l8mG/M9aKiLcOEYS51OJ9AARV03b9cDiA6jjN1qAiOO/nGJHQGBKhtm1TirlklkKG5jki8jzHYIBzBcWTk1uuWcdhH+eZK+eU4jwDIIg44w77PZAYQ3/5zW86a4JzwTmuNceoXK1v3nnzXUGjMY3Xh++M7377S9uvvYIO2WvVadjF8ZHI/cvpB/t8UULsv7x6+Suvv/rnnbhvx/6C7p0eOzud/ef/8Le+9Npd48hYB2gFTCW7CLURAICKLBTMpTx70/qky0DdJRt0036ruKg4LAkikYU0tGj2KLNwRTYGEAlrVQAgIgAEVURc2D8kAkBL04cA4fK7G8rmMoVFRbEozgUhbE7v3mq6NYNhMMs+YfEc+qER/S/w84ZfOICPi49p/Z/ff9zs/W/+TaQqoFzSQIu2L6jIjcqLAjDrarUe3vyBgG0abIKfU91dPrq4eERkrLXGWERcrVZNcPury3feGi6urrjWrmm6tnvw4EG/OmJRS3aeZuucqDhvRaTk6JwTrjnn4P2c5pLzar22zkzTaIwJwc/jaIyLKbHInbt3L68up2kiQma3BMshBCStJWfly8sro4lLNcYcDofpfLfuur5fKabbd+5c74btcTMcDvM4rvo+x2EacylpP8cQ3L07d9oQxuurxvnN+tiYsLu6FC4M8M6h/O//m3/xD37ra6/cPXEpjnO+rHyZ8Y2z+Ppv/cdHJy+hK+eRfv87186ZR0m/9EprJf6d1za//uXbKmOpFABQQIjQ2IVdL7J0+goA6DKUF2gx8AiwJIBgYeCDigqK4uNkDhkLAKCCaHBRZeBKbJRI+ebeiggRqBI8Vn1DYFADS9s3AiotiR+WgspAoEqJMVMTtqd+dcTo8033MNwMf/+5x89nreLD8XPnAJ7eAz77qz5OefbpkzyXsMT7N4497si/YQSqIqhIzvNBmEGEWRSQpTDnwjyLt21PLswxHaZoEdp+1bXri7NH1vtpd22MZZY07o2x0xwZMDTdqu8RNOZ8tD0d5txtunGenQ+IhhUQMc1FakZLzJxjBGEAtd6kFFebjWhCJVUITdO0IYRwdX1xcXlBRCml7XZba7GWiEiYORfXNcaaUvPhcJGngQx674vy0dHae9cBCcu9e/fWm22MueQMiMoQnJfK3gVnjLLO45xTCt5cHXbh+KTp+/feeXNz685s6lvvfuf/9D98y1oxOcY4/84/+M+++mu/2/ajv/sb1ZQGrqDdvlHv5ozbddN58Gs5+sJJi7MxwQZHhIYICAXZKOkNSx6FGZe+LwUiRQQRfVJDJQAALIBA5om4DyFxragAyghLG7AwVyioqmSIrKclzBcGQAYGIkViEVEWhGUmDCoDLKLVWVQrUxaEsOqObkOzrmAFLIECCD6O+RXgF+H/z23J+oPwuXcAP81c3vtKgnyyZ3iWBfoUPYMUEFGAc00JGFVxEQgTlQq1AGa3HsS8+pWvXlxc5SKHw/W8H0hynmvTbZAqIJUaKfMhp+32uOSpDw5FxmmeYwntqt10SVFZvafKjMYQkbM0zwwI3ltmiwitC+M8haZNMRpjLbkYZ2MppdS2zeZoq8IpZe/dPM8AUGstJRtycRqtgZVvm8YfzhOgIOjV1WW7PrHe7fcH3/RN2/gQmrbpug7hFqhYIlDtV0fjeJCS55i4FiQKnoaa77/7jiHkWgub5tYXTpsjma9yneuwj2f3169+tTl9dfr+30zTGEKda0nqQXE4jN42qcovf+H2Sf/qvbunzdrYpiFriVS0goCSZRFChMdEzmVei6gYNIg3jdmPh2QhkVn6eQnxhs8jIsz0Q4IlCtfltiI6FRZEYwhgoXQRqKLBivi4KYxBGFARUUVr5SxQKdjVSVifgmtFCRGN8t9u6KXHdWN5xvaUD1nDP/LCH9HR+gjn/CngQ/so3x8/fszTv0HEZQv4ucbn3gG8ePjw51N/SNW+UQVDVc6pxgRCqkyglUEEGCmhkf7Oo1GmDM3qiArb0BbW6/MHZGm/H6UWInRkDJFUrqkgwW5/aFfbmGVKQg3FLEyoUtoWCMlaR4gFoG1bVa21dl1XSkEEZ5211hDVUkLnuBYir4jzPFtrANAas+7XpRYFJGO8c9M45FLSPE9Wl2GIuVZDeO/e3f1cU8re+2maaq28RNeEKWcEJesPh33bhLbvpTiLcHUxCleDpnVunOfDMJA1JavzbdP71Z17h2lIF2eHq+lwKGMqs+RqynFwQ8X9fg81NshQ6zhM21e2PjaHOFXng2uIBESkKhkQQSSUx2FHqdUYQ84hIjMTkSGz9OAigqJYvbmXhLBUBOCGyAMAN5JpoMJS4CaaQTIESkioN3rRhMDiDCAqMwgLKBoSoFhqZhO6o35zi5ojQc+LI1HGx/rP8Le4nD+hq+tDFh58ho37c+HF+BSfFH4uHMCP+O1PJJ/zs4I+3gHgYv8VSaXmiTkhIqqOwwE0CONclM0q2c111GGImy5Mc2YGML7pT7HkOI+Fcx4n711vPRkzzbECz4k7SNavHDUVDCuDqrVuMVbzOBlrEI01QIaqKKs455jZEBEgl1pySTfiyhxjWq36tu3G4eCsm+bp+OT0cBicC3EamWvNhdpgjbfGO+uzYowJbAElVVyKpT54Y00Vcd477511V1eXhUs5pHkaGmdOtxsiEIbKGEvZHB05C4cx9ptN1/d5Gny39djAXNerjbPWuoaVYmJa9TJNBmoEjgB3+j7PKfMRIoCxxjolwwiIYsiRkKLiE9kdAEO0dGmhosoi+6O4lGYBEI0ButkOqIoICwOgtUaVljrCTWVYhbMsrCGoqgDGGLIWjSNjjSIIqRTlupy3KE2V0ferOy8Z16oJAnYJzXGRjrjp5sXHZB59SsLzY+Gz/OA8y+bmQ3IGz/X7FyOb9HPhAH4Ez0Lb/4mHPZ3Qf5Zzvu9bfPglve/Jb3jkT2b+ARBCSbFyMVK4lpyjNb6yFDYYjq5mrRqqJFDjfTeNsbAgevGNgrW+neQKDBkMbr0phUVK2zZqfEWnxoChYGyuxTvnnMu5WmsVIZdsiQDAez8MQ+M9ETFnK7xUlmspwTsyNuWkqof9oW1CTtF6Z8jUWg2ZUisAOmvnOaU27fdDjJnIeh8uhzGr65sOEReV5FIK1+oXXbmu9d5Wzo7MsL/mHA3I0dE6zykJgnNCdPvVl+rD8+54k2NUkrbpMtdCXHm2FmqcMWvZzfcrrnw7DHvrwKl1bTfMAnZz95VXToIcHTXiWiV/o80pZpkaAABLHdYaq3Aj2GzIPHXbbiJ/upnWKwtNZxntDo9zMVyXaV3IXFmk5AQLDQjVOuuwMWSWbZYoL3ITBo0ADrH+9Zvv/cpv/l3obheRhR9KII+beW8kpvVGI0gfp4NEP/iR/8m5x/dL9XzGjeD72u6Pnzd+YbYRL6YD+JGQ/3nrvR9hTT+LQf9E3vQmtgSrUEmroFEFjTsUAWQgatcnzGpzRDVX7t6jKVitfRNiYVG1bdCSc2ZnCIHQtu0KjTHGenTWOK05k/POBWucqsaUCheyPuXqG/BNiDE2IRjCFKOxxnu/zB10zjlnmybkXGotRGQ8MbM1DtUa0jlGlsoZkGh7vH346IwFKisiTtNh7l2tKafRoyKaYZyK0Mu3TsgYVU0xFU5xZmvt9dXlYafBebKm2ax+47d+c9WEd3/wljX47jvvjPu9NRC8Txl++Vd+db1ef/Obf2a9H1U3614PbUL36PLQbh5peTA8uKTQnH7p7ve+c2HFENek0XO4mvTWdnWIjwgZO2oDeApgUSihGhVUVIRl9qMhtAB0I54sgoiiN5VaRFVlEVa5EfFHBL05YGH48LJatCCXIiIoqqRglq4xUeEKyEgK1BBb9aJ2Avm//re///0H461f+t1jwB8GA481o/WHq+WHSWoF+pGurhcjhn0aL9jH+SngxXQAT+MjrPL3fcnPMOT5W97lb785qqrKNOy1JIugoISUay1C1XSRmpRzKYXILs3/JRdEY8xCYVQRcc55H2rleY7WeiJLZJiZ0FTmtu9cLSKSNceYmiY450TV+8DM8zwjGVVFJGZemJ2q4r1V1Rhn74MhinF2zlVmMlgLxxgRcdWvrq+uamVkJiKu3Pf9tYIoI+pq1V1eT00TUCVN4/XlBZrggxoyh91OpVrjrDWXF+dv/M23X3vpnuR8eX5ea1l1Icb5bHdYHZ8IQa28Xh+lnNP1HiyV6tG0r9w6+ZXb/u5sTxpa9WHzsh/l9Ad/+cYkQNYJwfU8rL/00pbx9iZEcPMwFZ6dY+cQwCAoC4uqscY6AjR6cyOWNgAFQrjZHy68XFjydkgIaBCRHh/8ZGI7WmMQjKoumkC0lIu1pAwk6LwFg1SZqED3X//f/t//+L/55/+T/+x/tlq38Fhj7iMsy09kJb94XuTnCi8mLewjUDx/5LUfmfDzvBuO5wXqoi/8eLQ3KnBJ456UjQqJoqAIJqbZrvYFciml1ForswAgIhljgm+c9dbYUqox1pAREec8MxNh04QQgqiyyjzPREZE2q5ru45FVUEVSq3WeedDjBFUhXnZBAAAM9dajSEFFamqbCyG4K21ztoQfM55mqZ5mtq2PdpsgIhZSq5t0/Z9T8YAorf29PQ4xdlbiyJaS3DGoG7Wq9VqZa3lWhHp1ultZ927b793eX5ZcmmaxvngvFNQY2g4jIiERKpo1uEAZVBujzbWu3svv7a6/cXtF3/z5Bu/weuTr3zjG5uTlTeShr1kODufEqwvxnq1P3Rtd/flV1abDUutWQjQIC2JHUAyzpG1gKRISgbIKC4EHhAFUQIwgAbJoLFARh8nH4joh0sFkYzxwbsQyDtynowDoFpFGADQqBrmwhRN+8//x7/6P/xX/+SQw2pz6p17suY+vSX3c4IfeeQ/PMnzwnzhL9QO4Okg/X1ZXx8S1z+NH8913vTaP/X7HznmyY8fMxf0E3EzImTpKVIlVa2pxgOAVGZYBn+UnCqXVb+fS60VAFNKRNYHG2NEJK5snSPrjCkAmEsREWOAiFQ1xuhcEFAics4hIasaVeus826/3zc+LN/warUahqFUdsER0fLxrbXTPC069aVmUSRja60qgtaUUlOMxloRRlDnXNt0BmS328OqEVECNIY41yqyXq8Qqe16UUkpoYET57cnp6Fpakqr9er2nTveu+F61zp7cX6+3hx5h5LLl+68lBnIWFHwLsRYiVbH221n2h71vYfXf/Hm+bffmk7zrXCZLy/eufXtYVADrR3i0KxPv/9g/513xv/oK1/S9NY733/jpZdfu3WymZswTUzARKQIgmSsR3IAiIAoqMI3xVdVNObxrX9s8nURgmZVXaz/shHTG7dMSCSiKIJwI/K/uA1EUlBBmeH4T791/U/+xV/W9kQNTGm24OBjBODPksh+X5ry+9rKz6a4wgdd7S+w4IVyAE/wXNvSj9/e9YlcyTMeuWjEPP4JUaHGkdMBEIWMcGFhAAZDEUyuhYhSzIvFYRFjLJFZcj4Ll9xaW2slMiJKRIULV6i1+qZTBSRMuSCa4NuSWVW7tl8y37VWEWnb1pFBgFqrqnrv5zgTkohYSzlnQksI3tvQuJRmVZ2m6eRki0047A7H280gQkRd1w3jIcZolYP3945uvXX/YeVyfHrnMOd+tUlVyLhxjs43zofzh+/5tr370ku3bt+aD4f95cXl9dUwjYakAK2ta7yplcdxnKYZATQNrjmdKWxf+YrOl//mT799cXUtPziXmHygfr3Znpyu+81wvb9z+zTl+a++f/61V79wa3OnI3znu3/jvvylfnNamKSMgIpkDJIxFpamC7jR6MGlQrwE90SL1gMALjskWMbC4DL98YdsNLJGgQAJUBCVbhoHjBICGQI0gKna/8+//c7/94/fK/4ld3RH6/5rX//K0WqlXIGeUH0+efxIOQ0+eMF/Zg3rJ+6ZPrOf9CPgxXQA74tnDP9/5K/PRY34KeAxs3vpNwIijXEscTCqrFCYq4KoCNiCIcZkyCOiAuScHdKyG+i6zhoryqFra6nWWkTOLERoFMlgCK11fpojAArfqEoAoKosjPacCxHGGAmQa13yP8KccyJCIiMstYqIdqsGAcZpbJpQawUAItxdX/XdClEBoWnDNMSmbRuPhzMEMinnDLM1zrmw2Z7Ys7PQtHmajKFai6KNKeZSUs7DNC7q9T6E3/mdv3txeX728L5BG1PantwaxtF7N03TYThUncBhAZzEb09f7Wznt7nWGtMYrEmxztVvV97TfH1+joHOlc9isyX79VsvpWn6/hvf+eVfXRm3YqZld0kKgMRcbwSYAUAfp+Nv2rWXkP9mHNhi+pccnALoIiNxI+JvAJGZqyytxYBo0BoyBAAkmof5H/+//vV/+6fndO/Xybij01ePV/Jrv/YNbySy4o0kKHxKPuCzjE+qAvEi2fTnws+FA/iQu/v5y+UtloYeC1qoxmnQElEYWECgMrCCoB8SxghK2jQ+pYKEOWfvwxLyA1Ap2Tprveub9vr62hostRhDyzDb7dHxatXXygjaNI33QUWZOacZllQPkTc2hDCOo7V2HAZrSRWMIUBsfKsg06y1Vq4ZrUOE0DTC0gR39uhRLUVYcoyrvj+/eFgLdd5Y5zQlYwyLACAS7Q+HEMJq3SmCdaHt+hij1DxNA13R/JcTl3LU995i8Oa1117ZX19tTm7NVTabTa3FIDpjrDFH/R0ei+ZiVxAHePTwqu/6lCq5rW+bq+v7rjXGKaC8d/bwzmuvVq5/8/b19surk3m89eqX5mF++Pbbd7/0tWo9gJpF3U2VhR9zb1DlceoGQEUBHk97eTyqBQkJlpEuwrIouSkAoMhSG1hUPpYdQlWoLFDq5XsP/vhf/+EP3tmbcJfJdF2/PTq9fWy3x6cM8tQC1k/bAfzcWskXGC+CA/igNo1nOewZ//SJ+4n3Pe2PhzMf/O76uCdMp2EPXJ8QS1ihVC2CU8Wm3VTOOVdEBFCiRXlGl3SQtbaWioDTPDVNU4VZsjWEaHMu+8O+69eiqKreB2PMMA1d1wGIihBSSanWaq11zuGNIj21bTdOEyJwFYHKzIjoXSDjRLiWQoA55a5rjbWca8oJSbdHR5dnj6AiGaPWVpb18brwFGMehsM0jvmoD94ioTNIXQBgPTn1bXO1uzYK1TnN+s0//RPvXc55e+sOosYY2ybs9/tcUtuGLNlaiLudD5hrQaLD7soS1JInieQNNqbdtDhPeX/mc22O2r/+7tun/audlu0r/UuvfuGdN797NO/Rr5+slmWyI6AiqCItbdo3lB9V4ZtC/VI+Ilq0/QFkKd8o842eD2AhYxDRAAkIIIoqK7Poo3fe/aP//l8ND85uv/SlP7tOKmKNWa36eb4+HEY93QKUv70qfgYBzQcVwH6ab/0xL+DDs1svMF5MFtCzYzGaP/33fRay0Ptbf5RKZJQdL4rwY9k/gCxJBVUXxZfCZkKXRHPJBHZRBhWupeSc8zItxBBaa5umabtWEcZ5VtRV1y6koM1mY5DSPKEyEgRPzMy1qlSuFRCVoOl7RRvnDEApZ0BMuaZcRFQFKmeuDIqES9sXcC5S2YXW+FABREEJRXUap1W7atsmToNIETKVZX9xHocDoPFti0RcdXt0RKRkNMa56/s7L9+9+9K9X/rqV19++d7de7ePT4/61QqMM20z52yQhsPeWLParEsp8xSFa0wprNdZZE4TgvjGFWHn7ThNoHndtAY37fZOt+2G3cNY7X6Y//x7F+fp1tl1loA1uHG3U0ECJBXL1bI4IKqCtSIzAjAQA1S4UeImQBBFBbPcboXlq2NQVVZVVQOqKhE4ogiIAbGVsYIy4vfevf6nf/jdvX/p1td/599/93AYEyJh07DmOBwePbouCI/F5wjAAJifyRP9OPb4vFrPj3zln9+P/ASfewfwuV55Hwk3MkACCIglzXk+2EUgUkFYlKuIFEE0BhFYhZax40jMgosGtHW11pwzIolC36/IUHDBO++8Z5GUkqos3b/CXEpRYWMwTjPSTSK7srRti5YAlQiMITJYuRhrmiaQQUUNIYQQnHO1VkQsOSNo8H7xSSxijFnyHtvtNjQh56wA1jlRJWOWG9u2Xc5lt9sbY1UUEWrJbdcBLGqjbSnZOfPFL33xlZdfPjraNE3YH/bMte/6Vb9SAUTKKfvQKJL3rbM+55xSQWMW2mgt1Vo3x3S5G7e37mSRy4sLrnUY41+9c/2DuTsfuEHhlLWMqkmBK7BoAcmgkTmBikFjiZyxhgwRGiSE5dtCADTGAAAv1RTCJeRXFEBS8SymcC2QWbORWVP53vev/rs/fGP0d/Pxa1f93fbO61Ou281qtV6Da66m+uhqN83DQk9bFsZTLeK/wC/wTPjcO4DPO57Fe/1tJ6cAKkiKhKh52nMavSEiowrCDFxZlcECWRZNKQGZKmqsc74BIBFtmrZpWuc9GZtLVUXvfa2sCqVkUSaipg2Vq6p6a8dxTHGyBp0lZXbOqupi6FJJ1rvQtUrIN51NkEspmUFRVOY4EaEoqworP3z0qJTsnau1gkiKERFSikhmvdkY60RRljq2asy5lupDQ8axwDCMF+cXNeXhsD8/v9gfDtM8q6q1NE3T6elJCM47d/fundu3b3nvpnmutYqo94HIzFNUgZxLLdy0Td/31riYk/EudG1hQevHmKsaG1YP3/m+qg5T+tPvvPOtC3Opp4ehQs6YJrhhUFlV4JqFxRq71MYXEJBBQ7AkfQgAaq0LaWo5AAGJHNkb9VBlUjbMnMuQch5m/h//6u1//M++eTB3drp6mEM6/srtL/2Ka1fCNaXcrI/3SR9d7pkZUfWH7b6/cACfDJ5+Kl/s+PJFcADPQtT5tPuzfhxP1s2Hb5B/PIn5I8f/8B/L8XDD+VjGQpXxWvOIKgQgIKikook1UzNlqaJVNOXiXAA0TdMimlKqIhjnrAu6DJ9CNOREdJzmkrOzFhGsdU3TEKJzzpIBES55UT4rOccYc0rO+361st45H7p+paq+aULbuRCAkIiYRQXIUKnVOqui1tAwHIgQEZy1TdMwl1pLLtk517StqpIxbb9CIubKzMsegllSzMMwlJxXXb+w5ofDkHNOOV2cn3/ve9+NcbLWgIpzbtX3XGtO+cbyKnLlxgdUIKKcChkqpXgfkMg3QQAur3erzXEB229P152bhgHJnV9e/5s/+da782ZwLx3GqHOiKiTGoCd0KmRNQ65FIgFd0vdVmAGW4e4izCKVa631ybAXUVVFg86SIWXQzGUuKae5Xo/2X/75w3/y79++crf2Sccpndz7IrR3xHSCLub64MEjH7pXXvvSX/zVtws/loX9BT4qbpo0njmR8IL5gxfBAXzi+KA+suc9ySd3RU9dyeMqHwKQ1jJcaZlFRZgFRBRrlYwuYxeLhOCJqHKtzCnleU4I4Lyf5jnmDIRziqFpVeH49EQV2q5HY3OutfIwDPMUEXGRejYGS84pRuZKBterlTCrKKHNqY7jBEBdty6Z5ykLQ2ibIryMKywsudTDOFpnvbWWjDHWOR9TqlxD0/jgUpyHYQDVEEJlvrq8EhHnnarcv3+/sqyOjnzbWucuLy+vLi+XR3ae53mea60xxUePHp2dnxEiM8/TVCs3TcNc1+sVEVXOKUdrzTAOtRYinKfZeycq6/W667q+761zvulCu+42p1/55a8H4Gl32QR3eXH5z//tX6fNVx+VbneYmNUikFZCRSLj/M0wd0NIhJaWSVwCIACKBGiM8UhWBJhVBUSWdj5CNApVYc51ilkvr/H3//jNf/bNd7df/E0X1uNhbDen1zMf5sSiqcgwZURrAb/21V96dHb18OKAi2oE/LwlQm/wMT/1c738hfyGfy4cwI+H1c9y/NO/+UywRW/6SREez5YlzvP+HLUKEIpWVVbDSpnCvtiqRljIGmMtIlnrRMQ633edt+5xR5IR0Vw5phLarjAvpspaR2gAYBldknKa58l7x1KFq7Ic9jvmGqeBS+VSCWk4HBY1fGtdrVKrIBpjbkZONm17k/kgAgAiqpWNsQCUSy6lqCgCxBhFNDjf953ztm0aYT7sD4DQdr1zwXpP1hprS86g0nXt6empc+745OTll18+Ojpq29YQieo4DNe76/1+v3x38zgq8zDsjUGRag0xl1xSrXV/fcUlg0itdZxnBhgzl3B0tFmXccfMROb8cviDv3i73PnGOxOcj4m1gEbmSA7QKRGzMhEBAhEZY/Cx0gMag4aQcGH6i8gi9CMilblULgIT4wjhuw/n/+7ffPsPv/Pw9LVfPlwNeTe89NIXr6LZixVL6/URorFEJc5E1Hb9ZntydnG1tIX/vHUAPHmcP+aD+Zl4rn+m+LlwAJ8RPBcz9X3wRFpg0QRV4TKnYUeoggYXpQE1DLZQmMQVAe+tddY513WdMTaEwCy1Vq5Vag3WN6EtpfR9P82z8wHIdF3/JF9ERNM0EQIwi0ipxXtPhKXkeZpQhUBXXeOdmccheAugxlEusdaiCkRkjSMyMebgPRF570V1jnEJ3olM1/XG+sMw1pycsVLZGULEaRicNdbZFGNovDVWAKqqDy0aM47jfrfLKcPS4GZdv+pfee3V0LTn5xdvv/NuTmmeZxWJcRap8zSCMHPZ76655pziwtLxznZN450nwuurSwJ03g/jlEt9cD2Z9e319ni4vogp78fyJ9/6wf/z333run31rZ08uh5E1QUPxomoQeCSpRbQRZkZ8fF9AsRlQwCqiz8EEWWpNeYyZ6kz213p//yt+P/4w++8U1d3v/D1y6v99W5/+7WvTBquhslbJwCm7b/6S19xWOdxf369T2pe+cIXS803syEeL5GfE0/wQYYb/zae8VQ/z27g58sBfBzVlOfdRjz9wg/6EZ7LB9zsAABueoAhT2ONoyFiUVAWlaUTuJowVxVRrpVrRcRFgNNat4gQWGsXUX5nHTMP42icFVTrLJHtu945T2RU1XnPLDlnNMTM0ziJsHfWe6fCRJjTjCDMRXgZ8phUuekDIBnrY8rM1RiDQGEREE2RjJmmWW8EcwAAfQgi4rxd930bQts0zCyVmSuhtiHsD4d5im3bK8Dm6Mh7b4kQlACEeU7x0aNH33njjZTzfn9495337t+/v7QgMDMSggoRWkNd25ZSAGC/36GKisR5FuY4zuMwIIAwL9WFUmp022Z7tw9mHMe3H1wkoe+9d/5H3z/M7s575/H+o+s5KaBDMFK4xCS5SimcUxynYXc9D0PNhVVgkRDFRSGCQIGZueZc45jTe5fTv/2Ld3//3795JZtw5wvvvf2QKBzde/1hgfvDsOkbU6Nm3cX09a//8qN333ztlbu51n0s3Wo9jwPL4ybkZUzcC+0Dnn5YFsP90Z7KT/xiPr94oRzAZ9CTf3h88bztJ6q6KK6JKhPmw0MT9wCNgSrKRnullBQGcwzgUEzKlYsQkIoaRObqnDPknG28a+OcjDHGmJQSKrZtR8YqAlqziM1ZH8hYJNOvj5x3R8db14Rcqoi2IYhwzDHXXLkueY+UogK1bU+KoBW0AFREcNbM4zSNMwga4y1ZRwZUS8njPNcqnlzhkpmdMypsfNtvts7aaYqlcqk8xzgchjTPwBpjSlKdtyC8u7xA1ZLrNM7T4VDmyRCNwz7OY5rn3cUlsJR5VimGIM1jjrP3xljsulZF53naHm8Awfs2hF6BVFEArPPOtQ8fPnjn4mA3r3gKPZXdxaN79179w79+6//8z/7sz67W35uP/uKtBw8v3qmyH8arGmeouY7jeHV2+eAH0+5CalFdxoCxCKtW4QJShKsos9JY3Lfv8z//q92//l5M3ctDhHfffGtgc/Tyl5v16fXFJXJ1oa1g0FoVMd3q7p07cLj85dfvOYyrVTMlikWBlh60per8wuK5qrU/f+zwj4gXoRP4p4yfrZvRm/8BoYyHa5BlCLzyIlIPVMxqKCYmVlYGQTREBqAAgrCUkmtlFd0cHaUIzDWE4JzPOfeqIYS2aXfX16JgrSHRUrIiKoBBM86JyHT9ipmttZU5NE1KyTm3jIRcdX3MGQCEBURSKo/9m5Ijp9Y40xiT4qxcjTEKYIwBVAADAMM4ci1d00zz9Pbb76xWq1f6TfDeOkTnd7vrnErXtdM8GoNTyuPwaDjsT7cbb+jVV17+6le+cn5x0c8RkIY5hhCQyDuXRACUuVrrkFBEY8pt2zaNG4bBWtf364UsNIzjZrNeRnbtd/umCyml3SRduwHVado/eHieU/72/fvDMPzOb3zla6+/nHe7Q5o1TbeO1xNnEBXUpvHOOWeApEokRQCjwrWyVOVY69nV9a6eDNJ987uXD67yenNSGFxYhfVWSt0PU9OvT09vsUrXdW3XC0vX9bmU//Qf/aP/y3/5f/ziV7+mxgTrYppTyY1vb5bGc8b+PxJQf2Jr9NPBj/cbf4iJ/8QF4F5UvFAO4Cfe8s/IstAPkJh+ttfiIjkAJcXDFSKwsKpWRa4lVhzN0cVe9ofR+k4NBu8RlYhqLQBYay2lssg4jIBQhxza1nqnqrvrXdf3tXLTtkQmxtlY641BpJQzAvRde35+sVqtrHNcS2iCqCLQarWep6lyFRZSsAAVoNRKCLUy12qMZWEFjSkiGnncm5ZT4lK6YEPT9F03Dztm7lcrRAze912XYpynkVzo+z60Prp0cnx8AscxxzKOBjVOh7OH763XKxF978GDXIqqbrfb0GYX/DhOiFhqYa4IlGLq+r6yeBeEBTw1TTtNMyi0TWtq2Q2DKtTC3vp+1V/v90dH693FxSHNRhnR7/ZzGQ+l1KHQn7xx8c1vv/NrX3np13/ppW1/N+7PA+G27w3VqiOIkaREVUnBWh9WTegE/SHWaZgfJPqLH8z3L87VrcDYR+fXYPzJvddMe2Tn8fTO3cMwhbafpnGOqevaAgAKORfTNF/52i//xZ/+8f/0P/+HjXM511IKYPt4FBioKuCLmwMCgGd+ip/9Yf+Qwz4L5uJTxQvlAH46eEZG/zOe54M0Sj/4bAgASAjzWMadiqiwsAiayoUh7GG9S4gGuqadoOScichao7q8DK21RDbGuFr1zFxLSePYNG0VcdbGmEopALrIOyMSgFrrENTa0La9MS7nIsKh7WoppdQUU61MZBS0bducMyEKV+ccelRdpM9EVXPKznlCdNYAIBCqyDxN2LimCVKa6QAI0DRN1/dd1zFLirEx9tbpqQ/do7NzEbHOWSfYsnDZHh393f/g79Ravv2d77zz7rtt3x+t1hlqKnmzPZnnNI6DWaayI7BI8B5KLZURcZomBAiiCDAMY79aIZr9fn/r1q3d1dU0jYSQU8mFnQ2cOY/J++CM9c5cnd9P09g0/R/82Xt/8t2zX/6VL/zqvbuNxRU5kgjVcJ2sEcRkSW3Acj3kOmf2UzaHjG/dN2/84HIYxtdeX1+Po+22dnV8PuRXtw0YsxtmBcq1AJmmaYxxV9eX1jjr7f3zi//o7//9//q//K80p7bZTAdOKT1Zfz/0AT/WDvZ0svHJ0vrsR/3PhY+2oXnhTfyH44VyAD+RFvYZvNnPS2VTAAJR0DrvJB5oUYZGqCwiwuRHdkxkvBRmG+wQowVrECszgoA+USagxSh775nZEFqkeRjb1YZFaklt25ZSVJUIkCjn7GolMsvxqlxLBUDvgypY51Q0xumJ+rFzzhjDtaxWq5RTjrlt2yUlTipItpRirFPQoiDMCOicExVCGsZxHMfNagOkztgU5/FwSKUssssPHz4kaxpnLq+voRYW6bveWItSu65T1WEYVKDW6r2/OJ+OjjaND9MUDeE4jpvtdrcfAG4E2kIIOWUEiDFtt9vr66urq6vG+zgd5jl2Tdv3XZwmNK6weN8qA6dpteprnvfX+aXXvnQ9TX/53Qdvf+9R8PZo0wSHmz4YYzarDkBW3XrepzmllNJh2I9zPSTeT7FbnxTwE9vjl76YwEXWCnnO+fLyOpdycnIKCrUKq7JIKRWBCP0Q03q7ffW1177z7b+5fW/LtTLzEzXqD0kBfQZX/rPg4xM9Pyl8Tr/An4gXygE8wWdn3fw49KmZSj9eBH6Gy1YFQcA8XGOZbjToFRZtoMIYGYQZAEthJTbGpJi8R2ttzdV7H+PMzIBUa2GuqhKCK6UAQi4p7a+cc0TIzAsN1PuASgvJJ+dIhOv1epqGeZ699wwqqGRIKzdtW0qxxohITMl7BwAppVqqAXTGGmPGeWbhUgozW+fIUHe0jtPBWZcB0JiUc9v1RBSaBsj5prEApeQp52mMfd8fHx21fSfKztrD9cWDs0sE2Rwdv358XGu9urgUlsW1eO988ONhaLwzRM45Yw2A+uCtsTnnEBoiMoZyLVLK9vSklDQMw/HRZnelqFpz3KxWhJrnqYhe7g6APEdOnL2hrg3zeIU1deLee3B576U78zztdvu+7Wtl50ypuetXAECkw7BXgTt3X77Y7YtiVk+bly6wkQGkDrdOjsxmM8SUSiUyuZS2bT2IqMaUjLPW+7brlO359eEbv/Xb//Jf/Pe/W367bYJzTl9o+YcnT8cn9UR/4if8XOOFcgBP39EnPuAnZVQ++bf+IDwje+F9z6aLWPxNrlcBYN5fQYmqSogiissQWiBBRqnUrKwGxkTWqMNSStO03gcRCaFNKZMBADXGjOPBe59zaZrm6Gg7xFRSMsaASi1FmWvOq/WKQJw1RChSY5yttdZaIkLUpQI8zpN33jhrjOOUyBg0JJVVgcggMoigMdaQIqQ5GrfM9YWKAqqiYKxzzjNRYe761arvL64O8xy71QqQDKE1hKqH/a7ru77frFebzWZDyiXN0zSUUmottXCttfHBWpNSdtbElErRzfbkMI6qGmM01iqoIVNrKaUQUd93KRfmG3XrWvloe3xVL6Ty9fXVK6+/etjvEWAaRiJS01ckUB6urpthf7zZzIfZBXd+eZ5KKrmujk4uLh8Vzut1r3OMab596zQV7bt1BZ85jLk6G6Ca63E4PtkCIJHNpZILt243w+HAzJVr369ynhXBuUAGrq93jbf7Md556V5S2e93X7h32oSg+kOBkGfBT7SAn5346YMSpB/znB9+kmcsCXxGvqKPiRfKATzBM5rjn8kt/KDa7zNSQhWVAIV5HnYIyxBaVAWpzKy5FtXKJalrmKntzCIAyiy1srd2+XcIodSsyiJSSgbV4Js0xxyiAUJrS07OOSJCUO/ssD+ExgtXQwSqzLUUWXxS0zaiiojr1VpEiIhZrXc9dgBQoYKCcy7nnEthEcQl9UKLOiYA1FKIEAnbrh2N7ft+GaP17v37znfW2cI152ycM4Qicn19zSyr7bFztua831223h5vVg/fe0eVQ9NyLQv30lqrAsYYLqXU3DQNgIqIMjNn70KprKqhaVJMKUU4YEppvVpN01y4rNZH8zTOcT47OxNV8r5fG62p8W1OKZdxSknA68RDyi1KrbNADcFfnD1Crd5oHK8tnAjDD96+730T99N1unT9kQvG+MZa8+rpOjTuoDX0R/uzc6tFLTBz0zRcy9X13DahaUJOOebJhV4F5ljmyq4J33/zzW986T9cxlJ+tEEAH/IIfHZ8wBM8b//Nh/z1o5XrXki8UA7gpxPsP+/bPTnseesT7xtuIIhqoHRW4xUSQuV6I60MiVnj0FI21tY4ouVaXcpcK4fQOuemOSKis365GEICos1mG1Msym3XV5bKxXtfAKZpQtRlejsRzuPQdV1JMbQtCJecAXGai2+aRWpiETzr2zaOB0Ak0Mq8iE+nlIgQEFhq45taSylJQfquB1BCyrl6RYXSdD0Z7wkOlxd0cuv0pLfeipBWAZKcYi7DetVLlfOHD0XVECnnoG7cVRQ1xkqJBOwddU0YxklRqzA5w8KiVbgSUpwiWZMFjLW15pgICYtIj7ZAHQ5j04SSY5ZivduGk5xz40Mq8d6de1eX5+Nw6DbreQRbWYAEfVK9Hg7OYOXagsmH6xumrrWFMFctYh3atl+vj49Dtzpdr5FcyllFXRO23qdpJISUIk+177paS9s2zEiE8zyrggi2IaQ5xgKi7uTo5G/+8q/+l//gP/Q3etqgiooAqKiKIPoMLT4f0k/7E1/7OcVHMxGfEfbgp4EXygE8jZ9CCPN8xduPdz2PF+7NvNma5pojKSAAM4soKKBKzYUa6ZvuME5EgipEylKc63NmY9A5X1mD923XHYYDWQMA69DGFOeUjo62qUzzHFWllIKIxkDTNN65Rw+HWqs1hhBrrYRYmRWhlGyNYZY4T9bYkou1VkFrLcaaOC8cFfQ+MHMptVIttVQRi6QK1pqconPeO5PHCAAsaq07Pj7uVxvnPBGVykhISG3bAkbvPYJdeTdOU4qzd857Nx52l5fn9+7dSznt90OpenrrjjATkrXGO7d8h8JcJJEhFS6Z16uTWIohw6IgbCw6Z1IsUksIIeeMCAhoyFRmFsm1hrad5sk43/QbRVNyDt26bTvfrpy1cR6JIPEY2jb4BpCMDxvvQ9tUARvCvZdfVcSr62tQYFFjLSJ2bTNPkwg3TQDxXCsr11JObx0Ph8M8y7JbyrkC4jzHlMqXv/yV//G977OCqqIqICjo4wzhL/CBeN+d94tq3J8FL1Qn8NN4muv2aWQSf/yEP44PuYCfeLYnL3zy8hvteFAETuNOSqab7n9FAFCpJdcUuWZDqlLH4XB1dTFNB5UyT4NwFuFcChDmWl1ofNORcVVUAQmtsb6yOO8FgFW9933fi0hKsyivVqtaKwsvgwxLySrcNwFEVaSWggpceRiGFCPdqOCgtabW2jSt9w2RBaBpnq111joAqMwASMaKaMp5TqlWQaRhmsZpJjK1VlUopcyLVijAer1ZvhmWerTd3L59u+87Q4aIrKHgAygQIgvff++9w/66ljSPo9QCAH3fW0vWknDOcS4p1pIMQi25pJhinMZxHkeuVURjjPvDvlY+DEPXd8yy2WwBcU4FjZ9jrgLWtzZ0scp+imjb/ZzBBkbn2o3xK7Xd+uReWB8VsL7fomubfjPFDGidb5aGDq6l1mKIjo+PT06OmVlVWaSW2oRGWRGxbbumaXMp4zgiGd+E3f5weutO16/GOS4C1D9i9/VD80FPL6qflY7Ch+NDnqZP/F0+/ICfeIZP9Ip+BnhhHcBPH5/qhgPxcZ1PkbSk8UpzBFFRXVqBRYFFBRRBWXiJGUW0xlhTmsd9nkdS5pLm8YAqpfKNVCcYVQI0oekAjCp0XS+ioe2sD6v1BtDEnJqua9oOyUzThAjGEHOtXL1zKqLMxpi2aQjBWoOAZGjRczbWMNdlerAxJoQml9L3vTFWAWqtZGwsOTRNZSFjBXEYxpxzKtk6S4SLilwuiUXGccw5l5JjjCH4119/DRHneeRShGUah5QyAnofpPJ+v3fGWMJxHMZxjDHmnLkWlSqcCTjNkwrvri4t4brv5mk0hlKKzlljTdu2xho0WFk22+3dl+41bbvcB2PMYxorsRIrMrLxBJYE0QQHhoQglpwFXdu50JCzImqse/TokTUWEedpqqVut8cAcHZ2JirG0FIv8c5tt9uu69erDaHxPrRNP8e0P+yNdYoIxljfXO8PqWTAmxIA/tAePfdSfAFs2fPiiZrQj//+WV7+YnxjL1QK6NmpOM/VJ/JZSYkqLCle5Fzna+SCCqLKIszCrILIqopoXXCBSIpxSMJxjnGenK0axFjniJTTfne5Wq+5ChHlXLz3AGCImItz3rswjTNZWvV9Y2iRmrPW9StL0wQKImIMgYq1JKLO2VIK1+KsU5CUY9e3pdaUMhEZgzlXQnLWioo1ttbqnLfGqkjOMygys/M+T4Mq5FxSzsMwtE3DXOM8dX2/dA77EBCNMS4O+4uz84tHj0jFEak1zFxrDd7PMXGpGNBZC4s2p0LbNDmXUhL5UHMO3rVtO8+Tsd4aM0+Dtb5r21oZVUqKAuq9b9s2xnR9vdtsNkTEzAY1ONs2zUKitd4BwHq9BlLQZp7m0AZjzHZ7fHW9R0AEbNvWOnd6clJKPex2wbv97toiqgIi7ff7mlOMEYimOXVty8yrfrXb7dq2maapaZuYy2Ect0dHRDinJBZZGlEaxsisioA3+iAI8Dx8oJ8FPoNEmp/nLNALuwP4mJu7T+QdP42tKyJwjXnaGRUQkOU9WItIrVIqswggApLzbalYGa1rEExOeRqHadzXHC0qcCpxCt6oVGOw1iLCpZbbt2+LSNv2TbtarbaVdU45NG2pkirnUtFYJEopz3NMKQ3DYZoGAGiaRkQWUWpjaJ5mBLCGhOscJ9XqvFmu1zmHiMYsRCB1xiIoEjrnkMzhcGi71lrLzCnFw3BgqXGeANRaEuGcYynZGgTlw34X47RULFRERKw1ztrd7vowDinnXGvTdQJAaEIIzhhjSFVzzqpgrU0xWkNElFLkWlZd672rXO/cvl1rHccxpdy2LRHFlIy1/WZ95+6d1WZjrLPOrdcrETaWvO9yEhUSxlp0OMy1SMrFOtM0YZ7GVd9zLTnNh/31OBxEFBGd87Wy9z40gci44CvzdrsFRGtdSnma5mGcRfRoe1xu5gnAnDIZJ0Bn51fDMCPYpTy0GP5PdsF94kmYz4jRh8cf7SdqNb7Y+Nw7gKeX5rMs06cToM9y5k9wEfzIg/ThV/t+SdCbgTA1zxxHqwwiN5enKsIiVZVVBERU1RnXhM40q2591K7XZE3lPM/j1dXZgwfv1DzWPJY0GtQ2hJTm4F0peb/fx5SWsSaIRoQIXdv0PrRtt8q5AmCpbJxzzqkiM5dSDoddrUWUS0nLh6q1MlfmQgRckwKTAe9NrVWERSTO0VlTawVVFVl0qpumQaTg/e3bt70zXdscb49wKd+WAgDOms16QwiWjDVms94oSym1X/XroyNAnOeZDAUfjo6ONuut9b5fb5q2N8YYwFpqSnEpbxAZ47wPVrWq8GLuq0roGuPMHCOzisAimMrMgDiMw8Oz8zFGVmi6lQstGWusmeOccxGA0Dbb7Xa1Xp/euuWDF1BjaL/fjePw3e++MQxDKXW92nCppdamaREwhJBymed4vdulXGLKleujR48AAABPTm/5JuRap3Eex7HyUrGhKtp0XSp8fnmlgD/2IAt8MD7Ipr/vL3+kEPWJ4H1P+Kmm+z8EP/13/Ezhc+8AflZ49kXzia+wnGJJM6oSERKSoZsKsQqqqNS+awhRVStXst61K+Obo5OT1WZztN0YAylPF+ePLs8f7q7Oa4k1zcs4F+8MECDSbrcruYzjWGsNob24vPY+VJbQdLWy88Fa70PjfVgG9iJijLN1Fg3JY5RSuq5T4bZtVOrlxRmXTKiGyCAZomkac47MBRFrrQAgwgiaU845g0IphRCNIWuNCHPN8zwNh32tpZRcUkKA0AQiatv25PSk1FxLcdaKqrWOrCmllsrdauWdU122CG6ZRwZIxrqSy2LfjTXeu3meyZimaa4ur2KMm83m+Pg4hLDZbJgZkbrVOledUk6lElkFsD740KQyvfLa3cop16hQxrhnzL5BQEgpAaAIAGBKeZpnAWCRw+Ewx2kep2mejfXeeyJqu3aOsw/eWltqiSnWWkutiLjUw9u2TanMcQ5Na5yfYsmlAsBjkQ/4TCeAPkt4X5f2vk/rs/zmc4oXqgawYAnbn6u88yF5yeetGTw78PE4iw84+Y/09iwxHRrQOl1qGhWBjThBQTuaCoiAXrjCtId1AUe2Vu+cQdO4ZqJgnSXbMucjCuM4xHk67K/Hw1XX96vVhmwz1QLoAHGaRlB1vgGA/TD2R+t5P9mSY4qgUFk4RhVuQsg5sWjXdhCjsybHZJ0rWoDQOIcKJbMxvsTsnMt1ztOIztY8g4qoFkaDGkITQkDIqTJzlZpjHK/3+6PtafANK5KxztiidY7ZWoplklKqsCh4H7y128366urq4uyBQXGuAYFSZZrj0rhQSlEQ50JhcU1wwQMgGarKjohBDeBqs7q4uDo6OlpvtinXkrlpu9C0qnoYxtXmaJxTv1ofDof5MLZda00DyvvDbrXq26Zl5nE3ntF532+stfth3xKFtvHOp2lOMYKqiBwOOyRK2VfmYRyOj4+bJiizCg9DvHV6K+W8ahtviJnJUC7FAYiIDx4AJDKAeu+NNcM0b45P5pIvZ1M5WwJGxwCoSGoU8ye+XH8BeBGrBS/aDuCJ6f+079Mn4hI+dGeN7/+j1jgeEJSMMcbgMm0WCRcquEKtxVo0RKDStQ1zHadBAZqm9aF1rulWRz70bdstbJ95GN575+2H772TxmuHBVWWNZFTMsaCqJTSh7BoJrdNY60DIGMdi7Bo27ZIxjkHSMZaMoSIzKqqZA0SGWOtD4RkrCNrlKXWMs/zkhAXLodhX0peRhbvrq/H/a5vQtu2h3Fi1abtAQ0LWOsMGWOtMbRQg4wx8zSCKoD6sDSskTHGBd+0wRqrqqFpVn2nogqwPTl2zudaAcE5hwDWWmtMCM6QWfV9jHGeJwCttUjlZVSOISy5xBiHcdweb4+OjoZhqKX0Xd/3nbV2miZjzPHJ8TCOiHhxceFc8C5w4pJKKWXZJDVt67y/e++l09PTk5MTREwpEYAx5uWXXtqsV0h4dLRh4dV6xcz7wyHGCAAhhBzTorKnoEuiLOVirIupvPmDtw7DpHgjEo7vv3h+gY+CFzjwf4IXZwfwLPfmkzrmZ4HHbQ2cyzSQCgAgkIIKKCEuY4IVVUSVRVVAVZUNgTVkra2lkrGKAsou9NYgCIsAMBsq0zRccJ6Hq/XpS03ocuVSMs7kjBl3+9VqBQA5JQCw1oYQVGUcBySzGKYq0retqs7zbK1f8jnOWWbJKRkiY40PYfkMKUUAEQZEBAUVzjkZo00IXDKnkVSsMYcpA7rN0fbqaqeKKWdjiWN1lqrqqlstaaYQ3DSO3sLLL7+U45yqiGq/WjlvBXihJ3Vtu+TErHMIOo7DQkIdhxFB4zwTpVKqCDjnm5ZC8JeXlyvcKEApJRf2IUzTxMyN9cG3+93BOx/aBowVxTnlvunIJOebo6NjUZnn1PdrALhz6856s7m6vnbe49V123U++N1hv1lv2q5drVbXuysFfvmlu4dhBNTDMDrvlwGcXdd570WkaVsACCEMh2HezvMce2/yXB+enZ+u3aPL/SunW1C5SQAhfCIO4MmD8InEOp/Bx+p97fuT9oifxRX9DPCCOIAnuZTPxZ37qLVlBBDNM8eRQBVUqigAEC5CC4CICqqSczbGVy3Clbmqmq5trq526+1x2/XzPAsk6/vgrXFtzQmB0VzUEsdxtx8P2+Nb3erIUZjHvTUOyc7j2PR927S7/S6Exjhba0EyCBBCO01jKXWm5KxdGmiJSFRjjMsQLgUQBeNsSolrbUIoJZOhWiqgCIt3dhynvvOrVTfMh3E4IAbvw9VuP8esiiEEBU055RQTKgrXYSBEYwwhro5Wl2cPpeS+a4WkcEk5C+J2ezQO+5Sq98EBMVcAIDLWelBofZjnaC2VUpk5zvNqfVRyijH267W3puQYmtYaM6e0jBJDgHE6tF3ounYcJ2usJdOvVt57VT29c7vpuuPTk/3h0Pd927TTNIa2ybUqoIjevnOHDC0VizjGJa3fNm3J2RAhavBmj3h5fa0i3rp13y/TknPOc4wiSoAlZWtsYW66vl8fTTHfP9v92i+RBUFddOE+kjDQjy3Rj71c3/9sn0f8dJIKPxO8OCmgzw5n61NaKAqACJInmUdUVoB5jlxZlg+OuAzyFdU5xlKKqBBo421OM3MJTai15FxEgciyklKwzSqsjm2zPrnz0tHJbeM9cn50/63LR+9IPTRemVPlDAZjmkV4if0JyVnXNE3Tdt5557xzXhViSnXpZWUmaxRgobqLSqml1Oq9q8wKaK1jETIoIsYYlooI8xxXqzUgllIR6er6+urqipl3u11MGQCtC9Y1qhRTzYWBqOS8318f9jsRybXGlKdxRARjDABzLQSUY2SuMU6EkGJU1a7rUs4q0gSPgAZhniYEKDmpiqpMw6HrWkIYx71wIVRn0BswqJbIGvLebrdrQJ2GMeeUUqogVTiWNMQp15JKPkxDLHmc5vfeu4+IIiIq1rlSqrXOWguACwE0p6QAwzDsrncikmK0xjBzynkR5R6GYZnZ4L0fhsFay1WcC5ujYyX7g3cvxixwown0CXQBPKl7PcGzm7+fCZPnp4PPjoX5BPGC7AA+CD+xhPuMNd4PD4J+/K/PGDQ9e2ylqqoCBus8SJyMiKL2TcNIhash87gWQARGRCoXay0ZBCQoUksyxtVarAVLCMETGUAkNDkl26wI2tXRifHd4fIBxfmwv47zfHLrjvWddb7USGRzmhVIVA3hNKVaatM0tUrTtKVWJFz1XYpRVIkQWMzSOWWMiLCwc67t2pRLFVZEa22tWURUJSUmS5awCSE0zRznSI4IGu+C98vHapoGjGGuhnDYHxBApLbBb9Ytl/yVL/1qyen+u+9NMSKAITrabOZ5BpWua6xzh/3OWwOg+/3+pZdestbmnIWXb8YsCyHGmasoojH20aOHXdcvgg3BmhLHrutQijFQcoyVgw9kTK0JiNTanFIpJflgjGnaJqVERItidtd1q9Uq5wwCu8ud916qTPNMhq73O1TdHB1P84RA3jWhcymltmkRIOc8zzPizYxHZlYVAEgpN96z6K07d87e+f6Di/Gdh5frL2yXaE5R8RMyv0/W50ewfR9/3/Bp4/OSMPhU8YI7gA/CR+D2fPhaeXq5P8vCenLAjxOQ3vfJWYSAADRNe6yZSIHIBZ9EiJCQgQgIFRGQQFFEKxfOaq0jgpyjDwSiKZblfArGheDbxgd/OAze+yp4fOvVfnU07q/ee/t7aZ4evfd2v9lub0HTbhiolOy8v0k0i+SUUYGMOTk9GcaRDAKi9yFOsyIaiyklEWjbNoRmGPaq2jSNKhpDoSEUZa5VsjEEhIRQa82EQk7Q9v0qFUCtCKzCwkxkc+U5lbZp1kcnVxdnhDAMwysv3/nyF1//3hvf8c750LShyTFOhfv1atH+XK1WMRVnTJympgnMvN/v7969++jRI0BxTXDOTSkasnGOCMY5n1ICxJTmRfgIVEspKU7WWiQyZBCw5mStM0QKuuqawzA6pKO+96Fpu3aa53meN6t1yWU4DCoSUxYWVbXWAkBK+eTkpBQeDwfvPYJRxabtUskl5b7ppnkCgEU/Q0WZ62rVqZrQNCLCKtOcusbFqqnim+8+/NrrRwZQlkLxc6aA3jfx/SEl0GdpnnpR9wEvGF5AByAiz97q9eHE0J9yCPP09agKAsKTH0ERUZjjNIAIEqI1xIYAQFEBiCyRRSRArJWLAKmyQC3VOmeIYpyJLAgsMgygdR5LLpGsc95Z5wmMIpr29Mj1KjLvz8dhNw+7nPPJrXvd9m7MUQFERAUMGWtM0zRIppQMAAiEiIVr23bD4dC0fdu2+/2QUkKEtm2HYVBVY6zzrpbMUpBu0gvOuZxmY4iMRWvHee475lpSXGTO5Pr6SpHafpVSnqd5vV5XZq5pjvOffvPPzh49jNNYUiI0R+sV1nqI+7NHj+xClAKMKTPXlDIS9n03TfHs/IwIa9Vac/DeGGOMXa3Xhqy1riNjgxuGQ9M142E01oRg52liECRTJTNz8E1Oqem6VOpuB2nKALoHUBBmRjIKhKJI9MRZlpxLrU0TYkwCuD/spVZhPj+/WK3WTdPGmBSUiJx3ZZed96WUcRybrm188N6MwyHGuWmaYRiCpVJ5tdoI2DnVcUrbtgH8qMMBPnhNflKn+gU+g3gBHcDTVvvpeOSDfg/vF3p/TNP/Qe/7E/HU80agqoCIQloLWADwddTxUoiBLKmtqIBiRaN1xmZLRgkZSAFJF03MaF0QERd8KklBAAjR1FKbricRa80i+8wqkcU5b22r5O++/kvT4fTswTvzsJvHw9WDt7iUpltJVQE7x8k55zzlMgGaO3dfv7g4B1BTTE6lbVvftle7/Xa7DW07j2OMcZE5q7WStdZ6rtV7L7XUXFRFai159E2bK5VSh91Ff3RblBkdkvPeI8h0uHIWgXPNWarrNpvK9dZLL2stp8dbreX84f3jo63zKEDigjFeVBGBnNUS0drOORWpOQGXkmLXrUEJqc7jHKfUtBYNdd3K+qBoQte71YlztjtKcR69JYZLqZUQqhRvTY6DAihU75s0DsLMLKhFRPrV+rDfbTZHdZqZ9PLy8vjkGFTGcW6aVpibJjjvrTFzTjFF46wLnmsdDoeu72OMh8NhnudxnIw1zrkUY9u6ymK901JCCMrVWntIRZEfnB/ee3R8feCjbpn57AiygHmuFftchv6zn975BZ4RL7gD+Nni40VPC0kSABBvxB5Bai5xNAR0kxe+Ga1lLNAyvmuRAiXDma1DZ31lISM5Z2ttTAyojQ+gkEoxRKVWUQGFtm3zOM5xbhpQ1ZSkCet7r3zl7OE7VYRrvrh8uK65X21ZCciRcwCYchHJKUVr3ZLrJzIpZetc07TMUmtBQ946Y2i5L13j53l23tcUlyYBrmXRMxZRa6xBjMPIzFIreC2lGmtrnAEk59x1LQB0fd90PSDWmo/v3G29vb48q6pzSpWpMDdNf3R0AoAxzV0Xci0lFUSsOaGgdbaWssxcPOwuRXS9WuXKtcg8z52x1ltQMYiG7GbbtG0DwgRmv7vuuvaw34fgjPXTPLFAKjWX6qxThKpSucI0dX3PqsDFWt80Dags2aSu73OpztqcUym5bdv1er1o/AQfpnEax4O1RkTatosx1lqNMaAwj7FrG2F11knlaRj7VV9Fri+uzh6cv3qrv7q6+8V7HSp8hEX3izD/efHZMTIfEy+IA/iJTb8fFPI//af3PeajXQP+7bHvz4ubU+GSzEUhUkUDWtIsOVpUa0kBwVpgZCCqiEQKCqClZGzBew8oIgjAT/QBTm6d7nYDGJtTZq1E1IQmxeh9mKapbfvLy0uRutkcjyneuX1rv9+f3Hn96Pjk/Pz+9fn9GIdaSt+vm3ZNWlmo8U2ueX84NE3DLAC62Wx2u50h6314PKsKrLWI6Jybpok5dl0X54lFl3kA1loEAONyzNnZvu1qqafHx+PMjXN2u7o864daAFBEGxfM2jVNO04TIk7TuLu+unf7dq1cmDNXrhBLZTDD9HDV9U0TYix9t9mXKxE52m5TnEXAWV9LabumpGYh+DvnoIq1ZhoHW7KJUQFOTm81tktTDKFdv3y8O4wnt+9uT26N42AI4fLy6OhoTqVTXXdrMjjNs3PWOpdzQcS26YAwhOC9jTEyS6mllNq27enp6TRN3vuu60opbRNqKUQQuma/OwTvSk7zNJExE08L2xVbM48HH9y66/quB5bt9qgJVDPneWSuogiACCCfPrvvBfAZ72s0XoDP9Vx4ERzAs3esPF16/bSz/5/EYnp8tYtAD9R52ktJBsWSUeMYl98jIS9XzsI5RQIgMiwqSsaAKhASKuZcQtNYGwBtLpMx1joHZAR0EWQWkThnqWqMv76+ts6R6ULbvtSuQGUcDjlHqQVVa85gG+MCIdVScs4xJudc2zbrzWa/3zchqErb+pyNiJAukjiwcGOato2qqtwScElLy6uxBgCss7LIHCEqYE4pzjMiWutKKTFFAOTKl2fnABDT3DbB3DVo3TzPqHrv1p08HI62tx4+PJtjLFw3m36a5oWcWkpVAUTMKfsmXF1eWCJmZubMtetWKqwiqJLnsWnbq/OzrmmE5fp6d3SE/frIuEag9mtnnWV09156KebELKQoKgzGe7darwCAmXPK43i4fft2E1zKqd+sUyxNo03bWGPbtm2aJqVUSiHUaZxSSk0fjk+2aYpNE+IcQ9OwivfekGGR27fvxDjnUn3TXF1d6h5Xq+5ovUJJq1X3I8vmF3hePDvV9dO+kp8aPvd9AB/5ZnzQC5+lgPxTJzsjAqDWNF4pZwOKuAgtGCRaCr+L11IR4cpclp9ZhMgs3HAirKWUUlLKZGizPe76VWj77fYkhK7r19a64+OTNvTCzJx3h4ucJwBQtQjt8emrt++81nVHtdT97mqOB+Ep571IdQZRVaXWWp5E0wowTjMArVYr730qxfmQcsk5D8Mgom3f9/3aOYdEAIrGzClNcVbUcRoKl6vdNRlzenoKCFyrLrr3otbaWqu3rg1N33SrrjdEXLn17apbIYEKG0evf/G1pmtVJaeUchJV7/0yX1dFaem8Yn706KHqokUKMc6IQiBSiyWoOQ67qwf3391dXViiOC9eRABgTsl6f3Lr9tXVbpliNs2RWTdHR6v1phR2zm+Ojqqw995aY11ou/7WrdvHx8dN21jnaq3MHGNcpoBt1htEPD45qbVyrYuaXtOG4+12s14Pw7Bar8iY6/1+ivN+GJSIEUPXjVNcd80rL53cuXWiqj9v5JtP7+P+nHyLL8IO4Al+5J59nCj+ffcBz0Xb/8hvfXOGm/8sdg8QhKTUaY/CYBWNUWNQHzO/EQGNAgqLinApGbMSEllhJUQVqVKsJe8W9roGH0qpRNY3dppT2zU5p9C0hI6lTNMBCWrNMca2WatiFb89fcW5puSiWuZ5XHLoYHOKoyFqgo8pxzjXWpEwx1xrnWNksct3JqrOOS451qqqXdeGppmmfS4FEStnABiGg+ucsAjXtm0A1TnrrJ1qCaGxltbrVS51nuemCdY5EeYqtTAovP76F26fnJyd3XfeO2dz5c3R5vrqsgoba3LMhkxomjxHVTXGzHF2zjlrRQRQEQlAhsO+bXuumUGIrDGY5ynl2oZw2F9b6/a7y6OjrXAtuYjI4XBw0Ylq8H6aZmvN6elJSun7b775hddf895zoabpzs4epZxOT04VwFjrnAeRaZ6WFocU0zjOMWYi266aYP14mPq+jzHu9tfWuqYJu/0+l1xKPT05NoYuL65A4cHDM47x17948vd/79dXnQeoCwNoGRHzSeGzrI7wyebin961P/3vH/nli5QpeqEcwNN49jv0XPs+fSw1+nGu6pkoqrgcLAAGABAUSqzzAVCICI1RRCSjIkv0r4DKoiK6zOdCSrU2oU/zXKUqovcNS3UUgvcZq3OhFBHWUsr2+BQJHGDwzntJOTEiqDrnhvGa+dB3K9+u5lw2x7cQcXf96LC7HodBRQIr14zkkKy1xlkHiAhIRCEEZh7G6KwN3o/j6JxzFKZ5ZuYYkzFIxhpjuBRDpvEwxSHHGjYBRbjkktJud51KFBUWRhEgdN6XecyltsaQs8LsvPPO5DizSKmVRVerzcX1rmm7UzJnZw9V0RjHrM4aa20pxXufcpznySCpaq3VWOtDU0rhnIgMc2l6L1xqjso67K+YWZ03WCcDBrHEudQqXMj7nJMKG2OZpZTirG1Dw5X7tn33+r69sIi4WW9yzkDELDmndd+VnJqmQcSlDHA4HEouCtqddqVUVbj5xlz1IRzi4WizQYWL8wtrzDKcWVVbT+vWf/m1ewQMqotGCOsLUqL8cXza/OwXybg/C15YB/CRiZg/Ec94wk9yJakCaMmxptEaYy0ZY4CMogFiQDSECCTLs6FKhM64zFKYBVRFWWtStS7kGHOuxroYY4qZma33QCiqTdcG78d59KYl563xTWhykXk6HKZd2x8BUWY4vfOSggprmqeSSi7Xq/W66VbCYKwXZWc98+ImIecMqKVU8tSEkFIku4iY4jAM61Xftm3Nc82JMxOiQSwxJjs13m/6lbIw1yVgZ+VgzTSN3WoVmgDG+Cb061XJqe27eRyHcdzvrpUzIF1f7wDNo0fnp8dbQuOsSbUsPa3GWBFhqSJccq6Ai86PDyHGWUWNQ65ShcdxqJWbpuOSxSAiCZeSIc5T03XXl5eKxFVJYbHsoLooV7NwyWm/23lvuco4TaBqjCFDMcWSqzFGuVpjvHOh7a4uLudpRqB5nrtVd3V1lWI6y2eImGIsOXEtAHj28IG1llkzYS11u90C4KZ3x0cbbwCVl7GQsHSGvLg+4GeF92V5fN7xwjqAZ8fzeojnygI9y8nfN6ghJQAQQFIgUCbIaTZxcARkg6C1RIRQjUMjZKpBYrCChFyLaiwA6IRFVZBQMgNIVfaNrlar/WG+PH/gnC+5qIRDnrfHJyVFY7BWUYDQtk1ohPXOvZdy2u73OzK0zJXEvjs5fbUWVpakUkqK00iILjQqUDOj6jIucZ6LiqgKWZznqW0aQkylwk3zl2WuRNT3q2ma1HjJY+NoioViqiWdHG+udlPbNEdH2/OULTkCdGRqypWl88HZUKsyQylld32OWvrWT/uZAIb9Hq2fx5E3K0C03nMttWQFIusMKICG0AoLqNRaEYBLFa5EpuRsrRVlIMPARbKxkEsyxigDl0hEY5oBTS7VOB8jq6BBW5lNAw/uv7toM7c+oLFcKzOzyP2HZ6e3Tggxp9gEnyLnlA1QidmTGaaD1iRcD9ePLnMZ9lc1JxUGFULw3pNrAciEtu03/Wbdr/qlRcAoDtOcQDpEFCNghapiBvUvpCj0p82//HmrA7+YDuC5Wrp+olLQh/zpI/Qbv5/MwwfwkZ78AxFB8jzlGItMvmkBUAGMsSyMRI8zlAAAKAo3E9uRWZCMqljrWYoo5xTjPIJKzckSMuc65aZpD7vrVMqmHpPzqpCmFFzIORHR0fbEWIdEKprmmGs1RKv1sQjjaChRnGdRsSmuVkfWt00IMSZjCACspVpvCnWVGY1R5q5pWEREYkzzlE+Oj9br9dXVlQCUUqz3lTmlyNS44JwzoEKIiEAIRIgIq76Lc2za1np/fv6gpmHThcvLSy5ls+4P82RFc1VjaBgO2+3R2eXlarWapgmJlmkq3llEbPv1dLhWgCq1RkZCKMUQqXIuGYWddcolpUKGaoGci/VNE4KKumCsM4pKhIWr936YD4LsfWDmnPM0D8ZAGQ+BIOfsnJN5LlzzsNdoReM0TaXp5mlW1Vzyfr8zxqTMzjlDRIQq4H3TtG1l3m5vkbWh7fvVutTSNkGlGpRS+b1z/ua33v47v/LKygNIJiBkD/C8ehAftoA/mRP9rPHsAi3vixcm6n8aL6YD+FTDhI+wCD5S4UgeW3RQANSa5z0ZCq4x1lrnlQySRVRCQ2gAFoVorbVySUQsZFbten/YI5LzIJG5FgYeD9dIrm0aIvUWSq0lTXGeNpvjMk9ljMYQII2IihBC2O8PAHh8fJpTAqA0T7H8/9n7r19NsiRPEDOzo1x94ooQmVmVVdVd3aN2lpjZXRILsrFcgHwjHxYEyX+TbyQBgnwg+EDMcDkzXA67plWpzFD33k+4OsrM+PBFZmenqkhRIqLrl0DGxU33457h55i2nxWwftg96jb7+fwypWfrurpaVLRpCiqEpqsle+9yfn1sjLEhhBgTAuRSVJWIGKBWPp9G761vmlpivTSwqj4c7p5++NNXxxdt24MIXka4kDaN64dhmqacVx51u9s3wVmDUiuLLnFt28AiTx/dfvTiFYPe3b+81pu2bcG6dtjEuGbRphsunDw5JUFquuZ8PhtDAFq5cAVCFNWl1gsJXUnrpSyVS1GVmhYirCUwC1kjeQGiwok0r+MoTYNIBLCcc54fJMa5zLnWruvO8TzP8ziOzJUMr+sqCoj0erQn0e3j22nK2/1V07b9ZjNNS6l1s90DojXUtK0qFJa27Qikaby3NuV8P+b/x7/7BQP863/6dN8gFUIITH8cCvYP8F1k9zsp+i946xXAxbz8HiX+p6t9X8vityUTv4x5ulC8Q415Onhnuq4hY5AsGktkEIWMNcYaJABAJBUxqsaZkmq14nwjeskhZ+GCCIjgDBpjVEGEVapIEcG8TjkXNA7JWOdAS9N25+PadENMudRXZMhZEsRus0mrE2bmeh08gB3PBy6RS0oqoJVIbDMwV1U2xszz3DQNADjnBCGlJCLOOUI0ZHPOoNI1rZaUZ6fMIjXHNTjbtyEEH4IjQkMXuSrC2ZA4R7nE4/GBCB4/utFaDocHY12/2WSYQ9M+fvz47u4eyFbWHBdR8N5Xlq7tUkxt2yAiCxrXdsOmCt7cXL948VwUhSsggag1loVTrqFpl2VGRCTEGlU1VU4wXsqHiAwiGiQylHJeiRSUK+NlRpp1xloRPTxUETbOhRD6oZNKNzfvkzVDv2m6rjCXUp33V09wWaNvejD+8XtXl7zOdrubzqd+M1ziSXevXpUcH99e//RPfvxw/3Jm+6tXq/6HX8S4/Nf/8sc3jVep72L45w8C7xgNxluvAD6Lb/dtvvSuN3QG9R/Qt32e1/Nz139p+/HX4kIGoYAANdb15FVVgaxDY5CMIpGxgKyqqiJyGQdWlXNnTRYoLEKGkLy1JRcAVeGciyGb5wwIoW2tdTEuBDovRxQAg6qA0BcoylnAUts6QmfQeZNyMsaM4+KcI2dTkav9U2Oavt9N48MyHVNa6pwV2Re2zlljmctlLFepNXh/oXeepynGaC6ZYiRA8taaYbeej6lEZdGSUaolbIKzlkop/XazxvT8+bMmBAQlGzbDENr+dDwQQuja29ub5gcfxHkZ+u00r/1m17T9eB7btglVkBQBlmVp23Zd1gvFQt/3OUaybb8xQMH5XsEQQAhBgWrJUIqCuraxfCFZ05rzdrc9nU6IiMJI6Ky11jiyCHBz259Op7ZrrbWs4lwg23jvh01vrGXmeVmdDyE0KYJz3ofggo8pp2kOXY+Au+ttfvnq6tGjZV3RUOsd1xLX0aCcDg8vX93nWrebrW/6++PkP3p51ds2mDnlF4fy//x3vzJK/9N/9adDUFDzduUA3ryd83eALx7/P3oAf6D4mvD6N60Y+2yJ59ff9an0/9yjv/SuL+04/40v8wn9swIAAtR10jQRXYx5BCQkq0BoCLQAkKgyaxUWEa1ZtYpKkWp9m3OpRYxv2r6dxzMRK6CCWBdKEes8GQYSgIJWmYuqHu6fOxeadnCh+/jXD03Tdf1Gmvb65raK3ldOKW0222TKmiVXAts9fn939/LX+f5FSfPpeGw77YfBdZsq1RubuFjrRSTmjAChaWqtoMrMhijGWPK62Wy2VzeHsqa8judj14T9biecQdVYa5277vq7Vy9zjG0Tdv1wfXVdWW6u9o8f3z68erXdbn/yJz/5q7/82bbpqenJ+a7trq9vnPPPnr/IaQkh5FzO5zMgrjFe5vS2m62S7TddjOv+5snpfLREhGScjWtUSiF4Fek3joisMWR8aBtszvv9VeEKIsLFe//40eP7+3tE3D7+kIjaros5pZRvb5+GED766FdX/c4A+N60XVerMI3zsri+S1y3V/tuty2lgEJo2qbvE1cyZlmXaSxc893LFzVXH1obmr7rh+2WkE6n41//zc//sz//8Ob2hqa5FDkn+tkvjz/84PDnH26N0B+CJH1zfMfD++brf40o/6zr/7kmgC9tC3gH8NYrgG+NT7/rN+1z+aLH8IYlp99oT+Nryf9aB6Rl1LJag5dJ62gMWktKIkxkEEn1NREwoEotoOKDVw0sYIz1ziNicHQ8nvpu4FIFUqlqXZerAjXe2WU+I6qzjjmTxrwu6zwCUtO03l7lqDHOwTkgu+2Ho8g0nb33TRvWuKJrm2F7SxaNP9w9Uy41p3kUZWnaTkGa4AHJ+ZByNtbOy9I2jTXmfEqsVUUIIebUdO1mt1vGwziO4zROc7m+ai6zbgCoVumHDeckLCpwOh7ndeWS0jK13h2Ox/M0tpaM0cr50dOn4zxfP7oJoRVEApznybhmnmciWte1aRrjfOGxG4amac7LMnRNv7kSYWEBVN+0RGZZFu+dCgDAWrNvvFPrwyZV7Pv9hYCjaUIW025vuFbvg6hmxeFq53KORXzrNvubduitdaKac7UuNE0VFR982zbLsqiosDRNs8wz1BpnVgXmmtYFhLt20BaH7U6RVPB8GmsthBBCePFwur69dsRqkVxzXPhnf/Pxj5/uO/s2Sf8v4s3D7n9QrsNbh3dZAXwafP/e2wU/98NvIyz4OjpyaQhWWaczSSXvCA0RXaj/FYnowhMBqqqogKSgcZ1rSdgEY6xU4cLzsjpriJqm6c+nc9t1CpVZWKltt4iOCIetS3HJy9w0Aw7ENeW0xrze3x2W5dS0u37YH8hUMSx4fXu71EKkCtx0QYHOS3QUbh//oA3tMp7m8S7GuOhca7UuNG2fc2JmRQrGbLfbdV0NUdu28zyqasq5qCBw0zRt343zyCK5FJZ6++jm57/86DyOXdtfX93EeeRanHNd14W22+8GAr7Z7w8PD9OyzOf7FjfrOp2nEwAp6LSMSNR1g2+68Ze/HLa7ygxkt9tt2zZkTNO1y7JstltECq0pOYehicuIXMMwNG1bUuaaS8nMPJ+OwFXB5JSAGUCtxWBNO2zmeb66uam1TssSYyRLbdcR4u5qk8pcOZMBY21ZYt9fgXal1JwKl1pKmcepCU2N+Xh+mJcVjQ1N2/f9fn/dNQ0RLTHmXIwxx+P5wp/dtU3Xt0yYanl0c/Xi4YGhnuby//vLV3/xr/5Zt32LpeFvo3cHvg9qgHcP77ICgDcbXfQmF/9GfNY9/I3ho9/gJSAgoCoAFFCj6LAe5HznBYux1nqyAa0n45UVSABIFUSFFRWsIvByBK055W7TB9s4y9O0uOBzrWjIOkLNDqmIGlCjaqzJtVofKmTf9wBowxC67YZ0Oh8UiEs+PfvF2f5qe/uo3z0mtzsdTwgQnKvLypWNb5p2uH10e7x7YVNxDK7mNdeco2rhmkQymSAqiFgQ4EIELeKcC86Tc8tSlVmU55o226t5ybWKIXM4HQFRqnCppoNlWV69urPGVgVmiancvXz29OkjQr2/f/WDDz7QMjfOjXNeTmchY13ImY2xp/HknPMhqOilP0tUrq6vYiksDMa5xoqIVm77jTUml9RvtinFPvjz8RAabwhrKQ/398ZQZSYgIlhjss2W0awxH45nNdSE4Jqw3e9Ph+PL4wtF5crjaTbWelcJ8OXLF2VNcV7J2HPNTdv0m2Gw5v7VvdRKhkJot9vtZrdlFucckIk5rTG+fP5iMwxtCOu6Dl136W9oO2psO57XV6+em3bjNeT5wFwVDQCA0mWrIXzCLvI26IVvVHXz2dP0pd7A9xK6+dJXege0wjuuAC54Eyfx22WPv/TGL2aGvyo38DVKSPGSB1BVlZxKXByhfV1V4oy1QEZBpeqFCPpSAwoKBpFLRhREXeZRsCHjiIwh7yyhorbAJQEhipRSrEkKwCKQBZgZpOl7Fqk5Edl+d03OccllGM7n492LF8u47q6f2h0A+ZQMO++angyVnA+vXiAIErnQ7G8eG+vicuaaUsqA5DwZhFqEkFgSWVdrtU0IbUugRBJz8q6Zz5lFkKhwNcaiIVCx3gHgGuPpfL7wXQBCP/Rk4tXVLpd1WZbQBFWotWy3wxQ5l5pqBDIAtgktoJRSaqld1yGhqLLqeZqk8jhO2912HCfvQ9t3JWdnXT9srva7WqsyExkpmblaa1mEudZSVAFJVURySirLeIrLckKWYZNzziEYNDWtqvzLv/mrUkrTtgRAgOfzMc4nFQ1tW0VB2RpTCgursV5BQ9v0m53zwSMCQEr5eBrb1u/2u2WaEXGz2VxfX6WcFcSHgGR//etnYEzXdHXOLz7+CIQRQURflxCrAvyjiI/89mz8d0DWfyneKQXwRZH6uc/2Oyvh+u4PEgUAAkQDnOLEObaOrCFjDBmDaBQAL7Q7iCIqzBfGCEQQqVwLeRWtiKosTWisdV0/4Ha/zDOoxOWwLEsq67RM1mfnPBkK3oqSqBI566lycTZYr+SEmnbn2zCel/Ph1a//SvJy9fjDmmnOeUMIWW6ur86nEyIa663zhBLavsT5dHi1zKdaK0AEYQWDIAiqXBG01lpL9s744K336zKFEPKSU0rLvCQh60MIrQvNvMzzMvV9u9n2Kab91e7xk8dt2223m3E8SMnzOB+OxzUuuSQigMp91x3vH4z1C41N115d3Zx1ughxMhR8GMfJWtt3HRe2xuWSc8rBN4BUaz0cT5vNUFmG7a6kuC6LAIWuI2M9Yq1VayWCGuc4VREQ4Ta4+XRg5oeXa/B+XVZjsZZqjDlMJxHp2o4UakpqII+pVC4pS2Hnm9A0V1c3r+7vfNOFrjPWcKmvXr5EgHVZVKq19smTJ8syPn3vURPCukKuhVX/+u/+Tlm6bkCwjdeclhRXhA4/1wyG8Eei6D/ic3inFAB8k2a/764JiOg3tgp/ayCiAgEIQi7TASQbZxER9GJHIgABIZAogCioIiJdpggL15JjhdW6lrQIqLJ6NxhDTdO33YCI07lVulcTUl4VoApDKdZaqZxVAar3nhmEK6EjVNe2wQ9DszsRHR6ev3r+8/F0uHr0QbN71Nr+PC2qe3K+a/tlnnJKvmn7YVvTUiqTsdP5oMKqCiA156brcymioio+hJxjIFDAtu3jzNvtfp7XdVlN6IVVLVprY1z6vttf74e+TzEBQeUCCMs8TeM0nY8vnr/YbbY+eGvMw8P9sLsmFYN6Ptw7F1SlpKyA8zQpgrGWiC5MnMMw5FILiwGDxuRayJAhN45TCMFYO8/rdrtVNDxPj558sC4LgubxPJ7HYegM0jSeyRgy5nh4gE8qCwpiKXldSz8Ma4yXVgFWNcZaaytwntdSGCGFhtVUQpekPnr0CBFLSg934zSNJWVrjUHs+y6ltNtvvTfTdCYYVGpNcTqvmqGx4XhaYco/fu9Rv908nM8/wUeiDK+Hyb1uJ3yr6kJ/p/iNp/Vd7QV76xXAt/4qny32+tbxn+/y6DcIE6EiAKcyH0kZiIgsWWecR2NZ0QAJCV0mK1qLhi5BX66llsSUS2G0VZTAuOfPxs3+puu3RM6HZthdK9mNsrEY10gAr17ekfUeMaWEAHGNF8rJxodaK4sSmt3Ve5mZCWoazw93cTnurp9CPpt2/+zZx2o8GW+stcI+NNZaMtT2O1UgMst0AlAVFWGQai15csyXcZXeoKacnbNIhgy2bTvPy5+8/8M5VQBU4d1ue3N7dXNzg4iPHz/OJRtjPv7o18s8NcETyu3tzQ8++ME8vrLGlpRKToC4LhNILZHHWnIpzvvd/ooFrPO15O12V1JhlVxyaLwPIeeyzAsZ07q21FKrWOvmdYk5Df2w2e4KS+g3lgiM22yvask+uA0SGmKu67qGEBBRRHzbjOtCoUffXQ1XpZambbly13fO+3Gahg1K5VqKsdY5F/rOetJST+PZWZviWuK6322b0OScQgjX19elZAVllvP5NM/Thx9+GNb54189y0sUssa7ZV3e/+EPnt89APz0DffwH2bxzO9X4H7Vo989HfDWKwD4iq/ypVmgr7rxcxe8SSfwN1IeXxWb+tqeA3nN88+5LEcDitZZ550PRFbBGEOqiFSByFhD1gAoICKhqohw24RpjspZBBAYBNJyUqlt2zuj53P2IWgpV1fXo5u8cwpWVYnruq5LjIjoEVJKpTIABN+WWqdUto8+MMEv55cINB0fDi9/meLcXT0Zrp6A687Am35og685cym5JDDeNb0PAdCMp4MlQdJ1XULTuBCYozVWmLMwqxpEJGKpu/1Vzsk5tzwcbm6fNsEPm413znt3Pp1BtOtaROJS0hKHNqwxvvf0ve12M4/3pbJz3nsPoKiskvtuc55may1wXuezsU5qkhpOXJu2KzkhCnPJSY+HIyIJ1xBC3/fLshhjnPN93y3Lst/vs1bjzW63JePWZQ7eM1e0gbVsNpuS0tXV9RrX0+nUdRvXDj70TdMS4SVLISJt267r4kOnLN4jcw0hMMg8j6fz0aMhxFhy3/fvv/c0xdVZMwxdKnw8Hrx387I6Z1SEyMU1/8mHP5ZUf/aXf6Vknz597Kj+i3/+03/y5z9lEXhdQvy2yqzPtk9+x3U+/fk75oG/4wp/gHjrFcB3tBS+6qO+yZrf3Uj5mv2NqAAkoCUvdRmdQTSGjCWyAISISFYUkAzSZXIwENHr2euIUivXSmT0MqorJyCXVWtOktN0PDK6tusFSURK5f1u2/V9zpkzPf3g0el0HKdzTnl/fbvMc0ppXlcgtAYd+s3+6W53fbr7WMCl+bAs53VdpKR+cx3TgrVY5601V9c3AJpSRtsMbRNTRbsuy52zNoSGa60piQgCGiTWCogxRlAVlt3Qi4qCbofeIKQY91dXJeeH+/t5mp+tz7u2bbwHgR//6MP9bvj3//6///Uvfk6qx8NpWvI0zVe3j3zwZDDFtXEOOCnyZcC9tZ5Fm6Ydj4cK4J3rN9tS62azlVKQcNPtCtd1mZGQCKw1iGiMffHiFfmwrus0TjklQ5QLiwra4NCHZgCwKfNudxOTAFnf9N63KWdrTcpJVU6nU9/3KUXn3DzPItI0DRB47y1S0wYQffr06cPD/SXFM2y29/f3m2FQlfF0csGXUjebTdd2wrym8jd//bdD1//Jjz+MKZU07tvtf/Uvf/rhk2vh8iZ2zGe34mc39nfZ1e8kPtf7+c6ogbdeAXyxT+9LL/iNK3yKNzHtPz1Uv8WjooJAiBjXqabYOkPWWesu/5GIAAlU8UIkhkiG8CL+CQhABJzzS1qNsYhIiMy1ihgjcy4htEkiAJcKtfIwbAEwxuS9m5fsC5NvtldOuBKib8LD/QOLWk/eW1QtWYPv+t17a2Zyxq7T9HB/98v/tO5udjfvMwuj22yG4ENVJGMBqYj60D168v75ocZliXENXp2zjkxlRWOIiAyRcVKgplxFWFhVL5RBfddIrb5pp2kJvvnoo+eTPddcnjx+3DYhx7nxfrff11pF4XwaLzb4dretpThr4ro4i6UkY10pUYRTzN5ZEKmlai1pXY1z4+nkfQOqR5ZuGIa+TynVUi4ji51zZEzJse8aACxTVmOLasyZCJ1zepxKycI1FzHGnc9jFSEYjSFnzOl0vL25NoTOYOg7F9z11XaelxCCIUNkTN876z569uzFy5fLPDvvaq3jNBLisqzBW0QSkaZpRUAUmq4vp9Mvfv6reTqF4P7spz/9pz/9Z48H+dHTK8urkIXXNFJv1nj4Tgv9711evzMpgbdeAVzwXTIBn/78jQylL43qfLU5/5W22FfdpQqgalDqfHKSvbXGekCvemEHIkBU0de6igBIiBDRGEKDwstigNB7BNP4JsaCgABqrcm5rOuoikuau2Fb54qNL6uZxxH6jTVUuU7L0nc9GmOtnaex6TYX3ZPSyswqHOf15uZ2T3i1vz4+PFOWshynu1+XOF89jqHf466vUkpmAiJELjXnEoLrhsfOLg/3z2tJy8zON2C8dU5RKhcQBDKKQahZ1jid74btjeTSmMp5pGbXDe3jJ7cPD5NqMhtsm4YEpvOJueScTofl/R88ef7q1W63894fD0cpbACZKwpIzt4aFillQdUSJ0W0RHGZvA+iltBoVUCD4M7H+2GzrVW6riM0MabQNC5YKuqtUZGhb0QujK3VOsepxKVYZ3NNuSyGDGjpvSdrrbFt2+x322Hoc85NE9Y1LvOIIs7gdHxQARGptXjvl2UhkLKuy5nfe+89a2zbtd77dVn6YSDrfGhF2PtwPh3Px6Ml2mw2VfIST4ae/rM//7OubaFUUCRgFStEisWKASAxBZVedwW8DfLre/Fdvml952d/89maka+yFN9qvCMK4Iv4qm/zxZjPp7/5Ug6Qz172Wc/gDXuMv/0uIQQBlRqnkVAuJSuXok+iC/En4mVsJCKheT1nC5UIDdG6TCrVGYPkvGtTBmesddYYKnWWWqyFkusyj2Tci2e/Cm2/3V8t08E1fUmRAKy1OWcFdKG9efTk/v4OVLe7q1JSSlGYY04ihHYz7NGQS9OrB/goxenFR3+1u35cjXOG4ppD6Hb7q3ldh+0uhMBNc3x4OWyv4nKyzgOAQXDOqOlIqyFYlomMsQRX+y3UfH7xcyNE48cxpbROK9ibDT263f38b/+6GbZofU3j4e7jtdaSK1U+HpuUcgjBWmuMEZVcigqzChAxM6IGZ0st43gkIuOCMKfIiGSMN7WS9ee4AqFBQGOPD3dorCGTY9z2fUnJWJtz3t7cLMsaU2K2zpgK2Rjabbc0kTXu5ubm8aPH4/lM1njnaqkAMI/naZpyybXWtvHHdRWWuCzee0O0xmWaxLogXFKO1rpc0m67JUNkyDuvCjllZnHO5pSmcSw5IlHfbXb7zW7bqpqf/+ol1vif/fmHjqqKIH5CKgXwesL0FzyCP+RU8DfCuyGRf8d4ZxXAt8NvLOu8lH5+o3329bmsrz54iAiaU16nQICECECIhgySuYh/Y8mwIUIyRJ9UFakCguY0c4lkW1Ew1gGkUhWIQtP1g1/mhXm2zlauKWdjnWopaUZDhflCnABSSk7MUirTvACAAhhru75f40qEALC4lRnYuQZxt79CE9bxfjzeHV/8ahrnOh82+ydE5tX9nbGOCIN3GaDbXDVNe0CsJSFyKYs1RikgYUzJ+7CkpMwofLh7uY73P3z85Loz1Ia747M1wf9nOYfN05JWrVLbZuTJWljujy3ZzaY/TzNXjTnmqrXWyiwqtVYi1FJKKSGElBYyRCAEYECNJRXIJTkiYDWGELTkStqOpxMikXGb7fYwHvPa11LJmM1m46wZx/PN9U3ftapASACQU/7g/fcfHh7G8+ic64fN4XD3cD9vhu15HINz67pcNHmMkZnb0HCtbdNUrt4HFnFt03adsb7v+5hSTGs/9JXrdrc9jxOolpJryQ93LxtnRcQ4Z33o+81+v2+H6//4N3/3f/o//1/+9/+b//V/+z/5M4QKwgAWAQSV4HUfsMJ3mmv9h4bf1//Iu6Fs/tEpgM9Z8d/oXvyH5EK/0Ql4E9vqK0NAgADKcZI0kyFjrSFLhsB8wvv/yY1yYYBTAFRCJCRCkJpynLVxcpkI5mwbulIlV6msPnQsptbiPbaGEGCe55QSM6NZmrabz8fQdDe3T3ItbQig0jRNzrlp21KLda7rOgACtGscyfr91Q81ZzLh+OojQj+fH+r5xavlmN77k/3TP2k2N/N5GboWhGOugjb0m43I+fAqr5MKL/NsvPpgEVQu08IAUq7zPN5eXe+f/nBc4rNf/fJ0XqK6ftOCsYbQxFM546z84x99mKe5McgmjPPqfUi5lqpN26gCWdtYm1Lyoam1XPIlUoslU2vJXIlIWJglcg6hzZJrFRtCWseyrk3T5rQe4mSMzfPZNQERgfPQBaP1dLwnMoAU18V7n1L66KMYYwyhMcYQYdc3oWkFYNhsSy6PnrwHANZS33XH47Ft2/u7O2sMs5SaRbXfbJZ5iTEjGTTGOn+J+E/LXEpx1gFzroVrXWt2zoS+D23jfMhVf/HrF7/6+Ytxhv/j//3f/bM/e/rDm6BS8ZO9pPBF6/8dwed899/NE39nz/qt4h+dArjg232/L971Wdn9VYL+cyHF32iwvL5GAZU5jphXY0DRGOuMs0DmEu8RQBH51L+/9IYZg4asIVRJqEVqXWvJpRjTqlYRSUtiASJL5Mk6Y40IA4DxSszWaU6xplUBalq1Ft+0zreVBayxxuS8AmDTdPO8qKKqNsGpulJ1GPZN0ylZssGEdqpzjOn0/BfrdNo//oHvryPpqwc01nOtbJ1vum67VwWpSVXjfEZpur4R1a4bQnA2NIVZTVNM3z39s/hyTfSS0Dy+fdTsrudnP7/qbDzfH1IyCL7dgGtNM1BdFU0VrTn50Iig96GUAmRcaKzzqjI0zfFwkFpFFLRWFSK01oCKcJQKqqgGU2SDmtfR+VBqRrW1MmgZhkHK+vLZR6eHg7EOAH0IqrCkhZmNcaq66VsRKaUgkA8NIjnnmxYAYLvZnE7HCkjOV8F+s7v4c5c5OcE3wrjGYl1jDO22ewCYp4kMheCZOZcszG3bdo333vtuMIQPh+Pxbw/OuFoY3Obnz44/+5tff3D7TxDKP+z/xdf/fO1W/J01zH93/M7Kcr6p3/+24B+pAvgsvmk8B944bPq5C77ZoUJEqGU+UU3kLgVBRgCtsYYMGRJWYSEiY60iApExgESAl5qSisrOGKoJpKKReTr7pgveiSKRVbCi0g/DGlfvPZDzztVah6GkFLnWWst4fuh4SHFlUd+06tzxPm93e5Ua16UfNm07TKeTde4cZzA+lVLIdLePXN+SIbh/ns735fjx/XK8evrjvv8nzNVbYyzudtvD4ThsrxGQtC7jBLKoSM6XbilNmbvezGsK5/E0Te1wg65HQk8w3r8oeX1y1aeYD4c7byCdzwcOfvDucIxZfAilCijO8wpkWAwZcmgYjHVOhV0ITVdSjNZCKQuiAdUUszGm1GqtE4C6zKpqLDGzy85Yb1AMAud5PEUF9D7EefZNg0jKUZBAgZC4ZlZ4+fGvrHNN1x6PpbJcX99cZh2v87LbbUPbHo8na+3x8NA17e3tLRl7d3/feV9SbLsupty2PUvNuYhwTIlriTGSoRBC23XO2s1mWNeFWZY5Pty/7JrWN+39/TNACcH94qP7Kujg0hxCgAwqAPSpOnhbRPyX4rcni7905c+mguH34XD89vBHBfBt8Ds4PKiqUvN8NlqRHKABJUACQiQjF6ogREEkREUCQjLmMrqdCJvGI4q3vgNMhUEYGLgUJK2soKVph3mZQxPWdQEFFj2Pc9e2tukUTfBumcfT+ZxzEk2AxFxCaI119y9fDNudsS4uizKXyqHtQhNSSk3XtsN2t+mn6Wybnev3890vl4eP0zK9+vVfxRj3j3+Qu812fz1PE7MIUdPvHME0r6EbRFkU1jU562pJcVkcEaf5cP88tPjcbVIAAInCSURBVFtL4iA7wG0XMpeb26f3pwc6+cHbNRXTbW/fe1+k4py7vnNrnKZZkbxzpRTvm1rLhTtbFGNWssEGYwxVkZyiISLXIoKzTlSdsSUnFpZSEWGa17Zt15WNccqViJBssZYQy1pEABFs09dSrLUqoABN03LhvLKoabo+rUtKiQX6oUs5Ichut7u62j/7iJ49e1ZrbdtWRZg5hCAqm82Q8hKaJqaVa61c+6611iDgsNmUWlLOMk4AWpflfD4vS/zg/R/UUqw1Xdduhu75q2PM7IhUQQERRL+2Quat1ge/G3y2df+d+ev6R6EAvsc6hy+mEH57W0G4pHWyqMYQGQMEF9Fflb33CIgKzBUACEFFRS4EcURIjXeEagitMSJIxtVauVTfuJoziyKoJShp4VpyyQjYti0ZUxmbfltzArTb7a6ULAqVa81ZKlvn+mFbc0prNM57a1NZTUSW2nQDoiETkLp+aJipaZplOzy0/eHFr/I8jS9+nk4vhx/8WdsGUahM1gXnQ8nx6uZxWWfmAiDrOiFAyTlq8RZUa1xHLssQrNu2IKKg5PxhTk3XPH58e7o7G9cUzufjvWuHXMvGOoHYdN12uz2fRucb6zwg5Zy7LjhPm01/PB6Rqgg33QBorSFnLAs7a5lZVa0VY41IddakFJdl6bo2pdVc+PawKBvrnDAjUi4l10JIBMEaW0odxxSa1pASBeAihc7Tut3v1mmKy3x9vV/GeTwdrbGEMJ5OwfuubVXEGDjcH7a7PUcuNTtrvG98NSo6bPqSS865cF1jrMx93xOQd65pmo8++ig4ty7jMqbWvVfq1bLk7caAoqh8skcVVP9xEIN+D/gab+DdMP/hH4kC+N5l9JfWDv/GZO9XvAnpZdwUCOKlRhtVEUBrXSEeiRSoNYRoqwEDYJFIiUAuQXgGYNQqUpUFlNBY533rm/2mHzEyOuM9i7BUICp5MYYAwBjrrEEk77xz1rlGAAAQBJu2P+aMtrne7e7uXqV1BTZkgYgAOKc5pYUZnA/rPFlvHuaz9810OBljFQ0qxpgJxVC4ee/PWINr9+Pdr86vflXy8firv+TpMFy/f/XkQxJbkqqC9y0rGmWQWGsqUgRkXksx4ChebbuG5w8eDc9HevWwNNfWcj2PD+3tI0FvNtdFKZhQq2AucVmO8OCbVkFZEMhUqQbVOgeEAqRoyHfNIIf7+6ZpHLbkkrFGKl+m6Ja0EqEqECGwkLVP37u+e/UihI3yYi3GFFWEpZSSvbUsXHOWWgGxlnip06215jiW0JDvcMR+2Eiqp5cTGZtKqXE2quM4OR9yzKXyXa2hCV3f3VxvW2dqzsGHyoxkhGsTGtYynkepKgpVuO26ru9c8MBoa63TVOJCbfv49ramSWp9Na7/9j/84n/xP/5z7wsgAgcCUWSFf8Bg+KWb9g/fvP2+WBm+3QrvTPwH3lUF8Dvz0d58I36uF+wz+uDL7yXQGiOXZI0hY+CTPWcskbX491XdAJeKICAEJEQ0GIIHMv/tf/Pf/B/+b/82+F6UylqYCyixSGUl4wsXApVSFTDFZIxLMVvvYywiFQ0B4rwsRMYFb0VEZVkWa41zwRibUqxVyPrKuMb1+tqVklPKrBBCUGVFiqWEptnsbtrGvf/eo7/5j3h+eFFzOd29mKY5pXj16IOqxre9s33X9c7g4X5VMEhYJBOAoomxvvz4+W579eTJ01/8rKjWkic0btjuCsOf/PSf/s0vfn1+9eCD7drWO7vpu2WNrEDG1lqJyPu27ZrpNAJi2w+llMKMSN0wGKT91f7jjz+21mXJohKcJ2t98Ouy7Pe7V6/unHeq0G72vm1ZyRpi9IiqzLWUWKpzQQCkVubKSABgrCEiETkto4AaMud7p4gA5JtWEeP0SgBY1HvvbACk0zjLSfqhN/5Ph/2NsW5ZFuCqwnFdT8cHY0zJPGy2TduhsWQNEKScHRgATTEaRFHt+i7s+w/ef5ol//f/3589vvL/xb/8EXAGJP3CVvvDF/Sfw+fO9e+enOedkfuf4t1UAL8NfL1S+aZn6TPXf7ql6DO/UQIuy4gqxlhz4fdBowiA+km9/+vCBGEBfZ0cRhRrkAz+5Kd/+hd/8Rf/13/zly+Os7HBkDHWkrHW+pirglFVrmWJqWnaq+vbcZqNccF5UBiGfo0x1srClat3wXt/Oh6sc977wvLoap/zvQDu9/vj6cAM87wQog/tmrIqI0IVbbohMZim6/uO87R59MOm398/+3mJkdfT/bO0jvf7xz8wpNVbARXGrt+VqlyLcVzTxAoAgTmlZS0svt9eGXM43kHY3D794fX1bWZImRFNrlmmiWhxPnRdUMCUk3MOAK3z/WYHitM0p1yITIw5pYSAIYSuH4x1zjc+tCIiqgRYuJqmO0zr/vaJqJaSWuO6vmuH/brEZjDGECKUkkvOKtwONefVWpNzJqJaC4CiaOMcAagqkRWFEJqm61iViFzTppRD0z55+hSRDocjICzLAsYBmWmacooAWoXHcXTOtqFrGuyGrSAqEiugICLFNZacnz59WnMiUOfd9fXuNJ5++uc/+eXf/u2/++uP/vRPPrhuCS5dYaD41kqwT2Mvv1+99Xt/ge8Xb70C+FKd/Fv9Qt9iB3ypz/hlQaHP/KylTkdUQTSfcLlbudyA8MkPpKrKoqKqSISgDCAu+P/ZX/zF48ePh757cVxAAVG9c1VUQJ1zuYiI9H1vrVtjEmYVEeJSitRqjUXEzWajqta5h/v7H77/HpGZptE3IedMzm/2+7hma+2w2W53tCxL0zaAxGvJOYnKsqRS8na7I/Ldpq3Rkts8+uAxMy/jw3R4qXmc76c4j7vHP9iV9/xwFdd1v907G6z1gCBcCidEh0b+7u/+7rjWYf/oF3/1csr65MmPhv3tWjXn/OjJ036zLnFd1zXnXLkM/dY5l3OepzG0Xc4prdE5PwwoQMzifADAlOK0rLtcmq4HwK7vljW2ock5e0QFqZXB2E3XpZxUxFmrInM6AGFo+xBcznlDxjvrvHs4Hi4dXt57a21KsXKtpQ5dP2w29/cP1jjrfdu1l41AZNZlLaWuEbe7bb9x3rv9NeSycknT+TBPkzGkgKWyIJqUNrtdEUbjEHAeJ1DwzirXuK7GUNeFtgmKSM5u2+3p+LB99N7fPnv181/f3f75U9UCQJ8xMv6Ib4x3shL0rVcAF1/7W9z4TVO4n1752Vs+tyG+yBzyRS/1099/aZGoqrxu3OEk0wmlAhp8PSDy4ggAfMJDh5d/gV7aUF/rCaInj9/71//lf2mMab2TmgENoHfWcymECGStcK6cczZkurYV4d12l0pu2wa7bprnlNPN7S0RIeI8L+O0+NA0qgqwu96cp2m32YUgoFBZkTmENqa83W6ur6+steuytk1Q1fPxSIQlLl3jt1ePm+Cu3vuJbTrn/XJ8nmOUPB5e/HI6H3ZPPtxt93E5ATlWMMb60NYC5HFZV2I+T/Of/pN/fvfy1f1HzyrbWPj+1R0ihRCYi9Rac7aGAPFwuL++ubUELMo5KfNDKSpaRawLoWkQm812W+4LAMSUd7ureZ6btqsCznkRTSnt93tmnqZ5XfPV1RUzI2iMq/Gu5JKZsZppjc7aKUZjDJnmPM8heLVkbOhDP46j1DimXM2s3ql1as0Y1xDC+XwO1oUQCAktnKdjCCHXCAB5Oj48HwkJVHIF33Sb3WZJqdvthKjk0vdhnqYcY15WAgTDxpACO++stTmtx9Px5npXU330gx/+3eH481/f/8sfPW0cir4mh/vWR+D3i892X/6WHvEbiQA+d5zfAX3w1iuAb/0Nvt99//U9Yt9iOamJl9EREhGCIiACAsGl7hOBFFVBVMQQkgGA15rDGPef/4/+9c3jJ4B6dbUFBIPECkCAgIYMoBGDbWhqKcpsyAqzWvXO55L7YfNovzsej865btiM07TZ7Zq2C9tw/uUvd/tdPwxtyeNpNETG2lIKGbPpeyBa17Tb7QAgm9qEoCJrjDnnaV7WZeZS3nv/g1g4ZiZjWUTxWEoGKGU9vfr5z+rt42F3Ra4bdjcpV2Hliv1+M8UJOZXjiWxoN9ehGeOa+raLffv82QtDlHJuuw4v7a6IiLBM564bnLWAVLhyEUDkyiJijDk83F9dX4fgp2k6n8cQQs55nper/T6lbK290H/mnIehF9FxGqfzues655xzTlVTXBUVDZIzwYeScxOcNUPfdbmkvMxRREWcAVVsXFOwIqJF2m6HcTxvu26335WSU4bdbjuez8bI/f1dStEzHx8eQtN1m02/3bbDVhCbfuN8GMdzLUVKCdYV4dbbnDOLPH58A6jDMATn/fU+54WsaYx3hkLTfPTq/PIYf/jIo1YA+/fj4b/5xn5bVMUf8eZ46xXAO4OLfYYICgoIKc5YokEFBUtojCG0iqiXGiF9bQqJsAjXWgQECEGh77f/6r/4rwCNgj5+fI0A1hmoKAjGkIJeIt3KbKwlwJrZuEuhOHgfci2DNT6EmDPGWCvv9tfzNFur1vnzvBRRIprXNcfYta2qGmsuNPdEFC/mMNFljEzb9da5ru2sobSuz18+EPnN7laHLaK34W4+36vkmpPUeHz16+l01+0fqfL26jbOCop9tzGqDx9NhuNf/dV/ArQpRjuf/u6vf3bpHwaAtu3TuqiCsVYB+6511hqEZZ3JOCTywQGiChtnvTelYsm5aUJKloi6rrfWrsuyzPPNzY0Pvm0DGRRlES6lINGFWdoY8tZuN8PxeOy67lKYH0KIMRoEYR361tphmae2aUopCEjkRGGeZ+d8SpFNhsrzOsZpnucxpfQyOERcl5WZAVCaYEPX7a7bYWN9Y30rKuu6UEZgqWs8T3dNCIbQeb+73oYmtF3DXIahB0BUbruOWRIrlxVJX03r3z6/f//JB8gKSAD8+97pbyVe0658q2DDHzLeegXwjTyA79lOf7MnfoNH6KVrBxAxrzNwRYNk6BLrh0uRPxgEei3/RQBBVUAU6WIAw49+8ic/+vGfFlYy8vTpI0Alorbv1lgR0VoL5CFLlkpE1tgL62WtTGSYubI8HA4A2A3Duq7jONXCpRRVdCGQiA8BEEPT7na7nJL1IQQ/y5Jy3m13lzTG6TQaa4dhUIBSJaaMiH3b+9DGZeTq+u1Qq4CxYGyNZ/ZLmc6VK9f1dP88lRpT6ftN40OK2dhGha523S/+9m/+6T/9Z/3Q5jTKGUspoFBK8c4JIqEtOaM1lTWtaxMaULDkKnNJEejC9FBSXMk65rIste9bAHMZ/DL0/TTPXKtpO1CoNYswGQq2MYassRe6ZkQUkd121w29qh4eDqradd26LMba4/m83+2Q7HmaibBtmsPDPQuP82TITPNoiFAlxmSR1nlmqWTIGNN1/X7T98Pm+skHx/PUbbYxs7H24XD01qzLdCoVRRtnLaIztLvaXT26zbXUUmKO3rk1riqKKm3jmqEt6ypSQfkwrX/5i1//F//8SW9BBIm+WQnjH63+dxtvvQL4UnxVcPO3upu/bUk1C1oAsFIRgNEggOFE57uqtVUwgsxoQBXZAJEaVEREBQYABCBjFEEFVI2Q/el//i+o7WpGT/D4ZucM5ZIkq7GNai1F26EBssgWVIULAHLJCkLGGRUBtI0x1qKCNZaQYoxt16UUcy7Ou1qYkJq2tc72221aEhE9evze4XC4OAGn02nYbEPb5ZwBtNtsgvMpxlSqioDz3jpR9e1WAIx1HDfL+YAm8DwCF9IaxxeSlzRc9cO+4rDrG3JBTBPMev/qxfb60fNXd7uuPY1FBIy1uWQAAEiIZLBlZs65IoSmyWmxzkutYCwi1bSAVADEpu37vqwTCHrvS+aYU15jdAZB07ooOEOwLlNhbdsGAb130/kUp8WHME7T3d3dhx9+6J3NcRWuzruUCiifhVUEAJdlfcWVOJdccsmiEmN03okIGeODC82V9aHp+u12v9ntYsqq6nzXtno+nmrNiFRzzMwhhNC1KcWr2+ubJ7cq7EOYxtE6ty7JWuucPR7H7XawxiCZnOq287Uaa3rU9dnd+f4Uh5uGvvn2/x0UvXxNKuJzAajvN+b+Vebglyb2Pn3JdykBAO+qAoC3zXJ5XZyHqICgIlzTOoMwOQRUIES61BOigiAYBGC8NI2BqiqCqlTmtut//OOfKCAoMvNus7PGVFYFKSWBgjUmx1QZGcAgXWLiolxTVczX1zdaOC6zAnZ9X6sEZ8nY/XZzOo/O2e12fzydxulsjMmZmJlLLbmoqjHmeDySoVxKjLHUmnKqXDebTS25bRphXpYVDAXrwRB59UQM1A27zKbb7pw7LMtYS0Thynk831cutI6ShqZvX97dffDe0/P5/OFPfvLy1V1MSVhKqda6UquzrtZqLYmIs5aAEZUQhEsWNtbXFI2zwkzONm2/rAuCigiRqTUbY5URVEpKiJDSyjU555EIKpMEVR2PRwSIcdlf7Zo2fPz8xbJMzLXWsqxz3/Xe2Xlc8rIyc9d10zSqgjWogEV02G631zc319csgkR918WUpnkFwCUVGedaayn17v7QNs0aZ++9SPXO2q41RMPQp+hzWm5vb58/f67CpTJXrrmMp1OKC4D2bTCW1qVUwiFsYq6lsII5T/HF3flHN73i37MH/hF/BLyrCuBzXVd/2EDUC2UvCqAoEKpy5bw4A84aREBCQAIiAVUQRdEL/zOAAlyikqrAgLvr20ePngorICpA3/dXu83L+1HVGOdrzYTIKqJoCEvJXdcty2qMIcFUc0prqdX7ME1zTisa2/eDt5TjUnPsh6FtfEpetbPOOuebplHV8/mMBCysqDGleZ5VNa4LAFhrp/HsvT8eDhe2ZBHx1gfvS63WWuO7zKXfP+H13G092W6ZzzkvSFprXpcjlSYYCc4V4WlZjbX3d6/6NlTm/X5//3Cw1gILq/q2tRfibEJrGuY6z6P3oXAFwL5tRUWr5LhYg6gMWrkW13TOmXVdu35QQdVaM3QhxHVmUDIWRdMyM7MxpmlCirgsSz/0u+1mmiYRts45Z+OyripEKCrTPDnvfOOZte1aZqGmZRUUvHny/jiO53GUJS3LWip758fTOd/dhRAQcbsdqtQnTx/7JoBqWiMRHh4O81gN0d2rV+syp5TSuljnY0zW+9AEUHDeqSizWENxjaH9YIrpNJ7O49wgPH9x4n/yvkLBP1aCfhm+RlbgJ/M83g2T/3N4NxUAfCsH7fdUFff6eQqggIpoCLlmXmePYsggIhlLxiheSF1QAVRFXw93uowoABQQpCcffNj1m6oKCCLahDD07cfP75WsQVBVZkYkQxSa4KzEdb1MzkJFFzxz5ZzQmu3QVRYFicsktVwKH1U4xXUYts4Q17q/vZ3nSVQRdbfbHo+noe/7Ybi7v0dAAlzXVUGts8aYWllFQ2hKjgZhGUcik5aZhVvvRZWNQzSbpg/tJqc55ynnRZRzSfMyatP5rjtO0w8+eH86n3ab3bOHQ2hC37cpVUT0oamVGQAJqjACOOdURaQ6Q8K5ZoVLB4WicLbGgBZrsOTVGRQpOS3M4lwXlzkED6q15DSNfb8RFa7VmdYactZxrcuytm1HpizLIqybzW6dl5iSsT40lmxotxtCqrX4EEqprtYQwul0/vjZC2ftvKQmeCLLNSdJN9fXiOi8c85673JOhCClTON4Op2a0MzTtKAYMtvdLvhw4XtFJN+Y7W7rQyi19F0rzIpkrV+XWJUyy7yuqrhmfvUwVlbjFPidnQrwHfFVJd3vGPnP5/BuKoDPBey+L5n+WTPhiybDNyqY+0zHAKgqwuVUXroDREuUvBKKcgUX4HXFPyGgqoKoquAneP0LVUX64MMfkQlQ8JJM9ta3TUBQMmSNQUQVDa3nxMJ84Z5k1pJr27Ux51qKNVRKdj4E71IquaS0rojIItUQgt7fvfS+iSkdH+5ZRFRrKefT0VljDIKIN0ZVEW3X9SLSds2TJ09+/etfW2NLKTGnNoS7Fy9zSiLShKbWUjIXZhVpnPPdzoW2qb1wPp7uFagUniVuho2g1Cql8jiNXROWaWTRbtiuMSOSdwYRSykK2jSNEgIZEeZSai3VZEB01l8C6wrgfLDWcZVpuoSAsooSsDWAIERQa3HWOEcAqEprXqvWZYkhiACua2KFpmmZuRQm5wPZruuQyPjGee+9F+E2NNM8WWsN2a7tENCQ3W+3LNVaG4Lr2i7GeHN9NU1jWiYpbpqm0LSHw+GyQ87H43a3Q2uNNUPXO+dallKrc2GZZxtaNKakkiusaxy6fl3n42EMH73o+gaR2q4pMbGAqJovTDn9jXv+d0mp8vX4rYrgrzLwv9jZ847h3VQA8BV9W1/EZ527N9/rr+XtdzsbiPhJQfalzwvkUsiuUuPMJRmvoCIALKIKqECfmP+gSp+2kl36wkCN81ePn166PRUEAA2ZvmlARZlLrc65UjnFROQQUVguVMHkbGFWVUAU1ZxrFbWWK3PbtilGa60IO4PKRaospRjrpvHc933MMeeMeOlJEN1uXz7/aOg6VgLVvu+lpOl475A94XbXJdxMp/FHH3746tVLMmaz260xnh4OMY85JrQul0xg1DRdvy1CtUwxxZpzSomQztO031893N+99957z56/UMHj4aFpBxUBJGstA6hILmzVAFlmJjIAXJkJKUtGRCQCRBCuxhgyLCpEBUgBa07GORCfc76Uy84TN20HAM4aZrbWLMvydLeb5ihcS6kXHfzq1V3f9yEEYe76nhDXuHrnU07B+5xLrdV757y7ur5KKa7LNPT9uq6orFyeP/u41jxPk7EurrHr+8s8mevrG7ezQNgNGyJKOSsLEpF1ggjOzetqrAUidK5MOi3rdD4v87wfZxf8frt/OJ4MYdP6TxoA/mj+/xF/j3dTAbwJS9TnXLxvag1dJrP/xsW/eOM/XPGTKa2fXghKoDWtyiwsai/xRwOXNidREP10qBOoqqiKGiJE8m273V+zXPqFFYkA4ObmBuDiIgAZ2zorgjEX633OVYF907Z9r6IhQM5JAZ2187LUlJum4VqttaUkZ01Oa0ylaXthYWGunHNSImbumpalcsk1raSc1tlZk3N+mB5E63PVkqMKb7abJcumGzQ08+Hh+vaxM5pA3vvg/WWZY4zB2Vpyjsvdq5dOjLvQ7pgm01rzolBZZEnZ+uZ8OgxDN06rRStS26YVxZRyv92JKgDUWkGVSBHUBcM1XSbCoyiqiggYZhHvvSoUAEQLSN6HHKuUIgB4YWdVmc+n0HbKLKKKiKTrOpdSkKxzJsaEBE1wACLCTdvVnLbbrUHt+/48jWRs178my1uWCVC9tafT6eHuDgEBcZ5nYyjnrKqtcdb7H/zoRzGlNSbvfd/1zCxwYcIGYwxZW2sttYbgS6mEmEsBVWOMte4i4j/6+CMfXOsoOAtQ294Zg6T02zBi/9gs9vbi3VQA3xRfYOh80+u/ptL0jR1G/dT6f72CalkXVAUFEYXL3EcBUEUQEFEiJFSV13lgfV3a4UMwzl1Uyqcv8Pjxba0FnVYWa0BFWdUHf2koFgUyxvuwLkvOGQCMMWRc1w0xrgCQczYGhescV+NcE9pasrEul+KbhhCVDAIs88xcGu+Pd3clrktJypmZa82lpJKicuGaf1lKMA4ALJKw3m+vhptb1/TdsHXttmnaq93u+YtnT9//gKyRnHPJio4MNA2qM1ySsJZSbh49Or38eNO2ky7WIpIx1rS+LaX6pkHCGDOn4pxtrBOuNed+25xPRwXw3tZcEDHX4owRZlFlFusAkFQMi9ZavAsKkHLebAaLOJ/HpusLc5GqAuN4dt73fZ9rcc4I1za4/fV1qbLM02az4ZqHrp2ns4imnLzzy7o455om3N+9uvSOiYiwNk1TWHLlWnmz6ZuuC6E1zk+Hg3WeARhhLflquxVhlmqt2e13L16+spa6vhtPZ0RA0HVZEHCdZ1BZ5tl7msbx9gfvp5JElr7ziKjyD+mmfk9VEr+z536PD3on4z/wDiiA31iZ+xu/3LfbIt/XsqQgl5ndSgSsZCoa5Im0VjUOyCNYEECQ13OdWAERDAAiARERIREpqHfOkBEVuPBGKIDC1dU+l+y9ADAIqwqiVYCUkjHGWcu1lJydDykXUUXRuKZcamURFVUyRCzJucAqpURmFnWEFlgVIcVlt9+lHHOVbjMA0ZKSt84aCCFYa7uufXi4q3ndboZnH//agtacS455nc6v/vb0/D8RcvDWbt8frp6U939ErkVjdvubq83m1avnL++eO2PnaUTlOI+oNS1pOc+b7X46HxvLpTIbms6zs8kYPJ+n/c31Mq/MDEjeexdcruLCZtjZZRwBjW98jBHIKBpjjdbinM05hxBqSWiIiIQzEJLReRmtdYbQkTgiazcCKABV5Hw6krEp5evra1YYp/N+d51TWZfl8LBeX+8AdJkm37Q5pRBCjMlauxl26zIBiGgNbdu0TehbQlqXuN3vAGiaplRr2w/LPPOytj6gaKnVOXt1dbWu6/FwsIQ557DZatstMVrrAIkMIWVEuN5vBXJeJucwc73u+iE4gfKp2/opJ+ibuqrfx1b/qiPzJv76t8bndMA3fcq7Gvr/FG+9Avjt4U3Mh6/ieoM3OBWfXPlJChhf5wIUgGsVuVADeCL6hAALQRVAQVVUCM0lCUxExhhjvXONMVYvtHEEqiJc97tdGwKrIgIzi2hVqVC7blNrjXG1NhyPx9tHj7uujykCq28CWY+EpZR1mRFsZXXOSkkl5VqK9+I85hxvbx9TCmTD7fW1qJRcnnxwEzMTkveNdW4zDEh0bYfz6WCb8Of/4oPz4dB1zTyeQVlKOp8e1vEU1zkd7+LDyxd//T9strsXu9vHP/zTEP6k2d/+sO0tUU7xcLgzRHE5t53PUjs3WB8sBY2ZAOecpKYQHIBJ69o1oQqGpgWAdVl2u6tU8nZ3bY2P62yNDehqLQAgAAIWRH1oK7O1JqUcQgBQEFWAFOMwWFEZx3PwodaKRGisd+40zta51gWtmRBV5e7FMyKjxpa4ng96dXU1z8mH3ntfClvnU4rW2pvHj1F1WZenT9+b5nmZFzJ2u9vnnAGo3w6llGEYEJEUaq3ee66cU7bOAIIho6qAdP9w6JqGiEghFwbQEHzXBGdQNT/aXYnUvmtJK33CIf57GQf2uaP0xaPxvQvZz5aBvCXl4L8f/CNVAN9X/cMbNhP+xkfpxWZHABVCFWYFRXo96eUyysO85oR7vb6oINKFzsFZR8Y53yJZABRQUgVQUd1thuur3ctjijH60NQqqRY1noW9D1XAe7/GPI4jIpVcamWyjkWb0LV9X5m9c0BUUad5efzo5nh3n2Misv3QA6oAVQWynpCO51dFJnKdITRtn1LGxGucENAPV6dxFIOmv0qI7fV2Xabdbbd5UmtOp8MB69loPb96Nh0fjs9/cffymf3L/+H68fvXN093+z2COOuG7XazGdZ1dJasdyxHS+CcJeNSWUSVwDTOWYOGSBRVwDqnZFLlIpCqMJjQbpirdwFLQUBrsSMDADlFw4yoQ9PO82wNtG1bpWLTpJSCD7nmDErGWGfTMl3dXHujKrmmcl5HQOOsKzVba41xXGtWngk512VagGLX913fX9/evHz1Kpay6QcqdY1JBYx1iFhrTSkxgDG2acyyLEQEoqCKiBd+ulJKCEGJVbHpuloKi+aYBZEIuVQgU2tx1m+HQZUNOe8ssaTKomRR5PeUBP5UCn8qkd9Gy/ptfOevx7ujAL77t/lG7WNvrh5+05Wol2ogxYuEB1CuWUWstdZ7spYMIYCCoqqKkkVQEBXES8jeAiGiaZqO0Fyyl4qiCoDatc1+t7k7ZxZVVWstGBI0XJlBpLKwWGdVQIDbtgUg69yyxmlaHz8e2q5DREfEwO2wVcVhs5nHyRqTS4QZ+t2Tynp4OOyvr5u2H8cJrcm1elTryQWTK6oqGbx5dHM4HK5urkR02GzUohhjqGFjO7Kot49ub+bxeLx/uZwf0nyez/d3v/iPL57/vOs2Xdsass774D0oGfKkvNsOJS2gksvaBJsK51q9sVyitR7BNE1rgwdDAIClhqYHtI33ABrXlSU2TZNLMt6nlNB4Z8Fak9bY9xvmy/REBEDnnIJ2fVdLKTWvcTHGPNy9JDLCjIgiGnzHkoHrsmSylsgGS+fjQwjtfH5ouu4Ql9Pp+MMffWiNqYWnZUVj5zX2XTcvCxE1TeOcqylXLcdjvL19dKEe08pElFIxhmot67L6Jrjgh7CZK6uCtTaVYqwBQ6oybIacYtM0nKMI9+22rvVwnnNFb0Hh67b3b6kV5nPm/5d6yd+vbH3DIsBvhHdP+sM7oAA+CY9847u+JvH75mGcL135cz988aFffuPrgd2KzFLyxbo3xiIhAIoqMaMhFVYhQKOqeIn7EhEaQgzeI4Feokh46RnQ1rtN34u8UCUVJmO9cykLIonwhUtOBIxF77yIpBQdi7W2xjxN8253tawLENWc2q7v2hY7YQFjbWjCkmJ+eOV8IGPuXrzoh+HR9dXxfLbkDWrft/M0D23z7NnHTdNUH7yzfdfmklkqCyNRSck750Mo68pgxG/Cdch26G/5Ks/r+HA+vpqn8byOXIs1DhCNNYYQ0qycuKzWu5ubx0PXSaxrrhpXpNK0g9Sa05JLUsRcChqXS0UyKVcRJfK+MaVWciGzABkRRUTrm1wVEEBKqWydJxBrTE5ZAY11aM3FWickECbES5MwlwSo1pExwpy4lhUgNO0y3RFZyVJyDe1w9+wZoEEyNoSLKORat9ttjHFd18smsda0bZ9y7rsuresyz10/tG0QkRD8siwpRufcMs/jODpyzrnK1VjT9V3jbCkZEGutm822pLVWNt69fDgfxnW4buBzieCv3cPwDz3a3xi6ecPzgp8MtHiTi78vfI2U+NKj+tkfvuaCtx1vvQL4XvA7+5xf1AGogAJAl0IeRRDhWnMyxnxyTi99tZeSfxFRZAEihEuIWJzzwYfgzFIiKBOqKIAKIKqC87Td9MBsnTFkjDWKQAYvBDhEeEmWWkuXKiAiyiUFar03OafDoYSmCU0rAHFZlpQNgG+6UlIep1JraHBe5/c/+OGaiuQiZHbD8PGzZyhD3/Q1FXW+9Y0wKgOS4SLzuKouF2+nZkalYWiXcnbWyjSXFA1Z4xu1oXFtCEPbHHJaa1655jVOAFqVZUm1xJpnBJjH8cn7P/LDTVXSnJjL+XRPxgOqgCHrjXGEKqU4HwTVWjLGEAuZStbknKwLRFlFKoMPrbGGK7PUi6ND1nlyoNJ3PQvnnECFL4Z5jE3XXCo4VaXE2rStlhJTynk8jWcAbpo2pwXRKnONadjuY6nMyRhLRCrtZrMJwTtngw/jNDtnQ9OIyng+NSEowDxN/dCXnEPw1pkXL16ez6cQw2azmaYp5+iCF+Va8lyyt7bkWqoU1Sp4Oo23t5vTvH788vyDm/bTIrE337Gvd+Efw+ifwVsawvoi/vEqgD+s73ex2xUQQWqWmi2iiioo4mUk8MVu09ch1E+GByCgtS4Ev+nC/XyaxmO/6y/UQheiCAJ9+uSJXmhiSIxIZlYga4yo7LbbZY0KWEsBAGZumh7Ai4iKGocxReu91JrXVAs3TRtTQgXrG2cpriuCdE24e/XCuWZdlvygj58+6bu2MqvCsNms6zpstrkU3wRj3fk0brfbcZrRYIwJAKx1r17dNV17HMcQwvFw8M5yqYjEbG246q9au46cl5JGJQXkklPFDERojAG2UF9+/MsPfty1oWfCXHIt0SgLVB8GCxaEHTpRdgbBXax0AVBrHRhnrK2lhNBM4xgL932vqgJSGckYRQfGOwsqWoXWmPtuk3MaOs+1VkHj7ND2lyQKshjXD9t2WWYAiSmWnBCppGyM5JRCKMmRMW46LpvNVhCntJYUh81mnubkk4iO49k7P2wHUC2l7La74+Ew9N2xZFBtgr+62qWUu74NjV8WIiJLJpdifcg5M5K1DsgJIgOxYCrMaj9+eax/9th8KyqgP0p/eIeE/mfxj1cBfHd8ttIA3qDl+CuueV3YA3jpBqBaitRykeEKcJH/f98y/Alz0CXJC6CIaKzt+9bO4+nu1Wb3viAioKgiIKg+efwIPulcq7UygyIQcBUQkQuRDpJJOatqLXnYbGvlZV1TioBYaml9d6HCRzK+aaVWQkUC5/w8j6XUttsC6Ha7O5ynaZpyKS6ExAlRXWOJCBVC13Rd//H5NK9LKqlpGzBQYlINKa0q1TrXXN0o2SwUnEcEC2aeT1f7m5gLeQjGsGCticnaIBnEoPfARmQ5H88PL66e/JDRdF3HUmplAClpVUbnmrTOimStNQ5U1RhTqyzLOuz2ZI1HRMRhu621NqFZ40o2tL4xhqha51xcl7TGYRjIOkDTtkPXtaWUNZdUytC0PgzWOe98rYzk+8GltFrWYdgBQFzny/dQ0GU+tV1fYhm5hrZVwMPh8PS993MpyzI33VBqjTGSQSIyZNq2uXtVDofDbrdDhOCdMHvvjHEistlu1nUV5c1msNZ1XXc4HAjpcDyv2XCqN5tBtIuFX7x6mJe024RvIcO+Pm37GwsfPudG/F7E6Pcovt8lNfBHBfAP8NtQ8l/vRCsyAjA4o5VAFFDyarhaA0iIiCoiwigMZAEILyXclx5VACAARbCBut21X+LHP68/+vPsNo2qFcnEorTtBxQF1VKy9d5YXysgqCOb18SKRNU4aJtmmmZQXZfZOBtTHLY7IsOijkwCMMYIi3eeXFjXmVxDaK1oSZkIASTF2aDQhbOocFmTcWa33bng7x8elmV1xgOQiuQct0NPikzcNI21VpiT6vl8Dt4TWVBBAObSdS0hIlGO2oa2bWrJZNEUh1IzgIgKS1Ip4+FFv92yGaRSvx1ySrkUgAxitAIYu8RVpFjXDNuds35dOed8//Ll1dV+jalp24uSW+aZiIL3CgAqhswwbHbb/fF4sMZYZgWxwafKvmn6ze54PDs/gOm8d7UWQ5JqbZqGqmy2rSK2bYu2JUPWECLEZQWVvu/O5zMLd21HIPP5RIa6rsspdt4nwByzc26Mo3N2e7Wbp8UtS0pxt9v2fZ8eHpY4bXf7JvhSSipljutm6xLXeV1urq5UEY2JJSdWVmWh47m8Oub9tkGuAE4IFYpRAjVCGZW+Pjfw9dL/q7b3Fxf5PToT3/F0v0ty/1P8kRv266Cf4Osvw09peb72mi9/BHxCBPdJT3BOiwrjp1H/ywxHUfh7PYKvR9MhIhlEIrLWh75rx8Pd8cVHHpVVmZAAAWC/2w19j6BEJCIgoiLrupScfAjWGRFe4zrP82XgrYjUWpmZmVWlbVtVFZYQAtdaa0XEpmnWdbXWtm0fmqYw51y88wi4LnMpeZ7nZZ1BdZqmdVkR0BmLhE3b5JyE2VhTSkaEdZ5TXCvz0Peq2jRN2wbn3LquwmyNiSn1w2bYbkXU+tB2PSA6540xxlgFFFC0RpSPx4NzVLlO50lez0hWJK011ZqdIeHiHK3zHNcleLff77x3qlpLISRjjCHqus57V4VTTooAhJVrzLEb+qbvwBAaKwChCSGE20ePuqG33snrJjv03g1DV0oSgMpifZjWaHwwrvHtIGBun7znmq7bbPY3123fA1HXD1VYAZc1nc8jM6/rejqdaq3Ccjqf53mOKbLK8Xg6HA4xRlVQhRRjLWWeZ2YuuSzzbIi8dwBAiCVlZ40Kr+uKRDGXZ68OAnTpErx0kcPrP/6x4Duqn29XcvKHjHfBA7iYFW9thA4vFEAAoIAGpCyjiqhRRCREuMw5VwURZRYBIn9p//1kBTLGeNe0fevH88c/+w/Xj3/Avr+UMapo27VD3413oxpCIhEFREOYcjTrLIAp56brRDgncS6IKilsN9vKnEWdY2FpmzalaA1Za0RYVZ1zAAhEPrSqMq5nnxIRcsoxZRFFUO8cGYoxsnBlXudZVfqhJ4MxxWVZCImdDSEgUi2VRYhMKcVZSwSI9tLoxrV6H2qOIGIIWUFqJTSZxXrHWiAEMpRLSnHq+22MXEtBQhEBqYjIVfphU1kNCEt1dmAWrmXo2tA0tdacUtu2p9PJexe8b4eOuQJACGFdV2MMEsacXAjBe0Qwhu7u74dhYNAiXGtBhBBCTuvV1VVMcTdsxnHKhUPTK0LbdW0IikjOD9v9djscDgdr3TwvpdTQNIDYdb11kUUu8bphGGqtgpJzLqVw5WEzzPM6DCU0TSpljbHvelW1SKENtVYAaNtuXdfgm2HTlnWdTofd1pOlJedf3R1jkd4ggKCi/r00xG9NEvdNjfq36JB+aY3TW/T+b4J3xAP4vjTzVy3yG9f/murPz67wxaoy1c9wASGiMqdZpSAgXYp/9DL0S0FFuYLqp1zQhISvySCMta7p2uttN7/49Yuf/ydjQJAubkQIPjROgQFEKjtnEMFYQwbWdWauvnHeu6YJlWtK6VLXCAjWOUQAEOZyGbbFlYXrui7GGLhwzAHNS0SkYdgejydA2Gx658zQtfM0xnUxiDGuCGjJDH1nyKiwd5ZLSeuqIjln733XtcPQe++HobsI06ZpAODCSCqqAtC0vbEBybbdpus3xnkgE0LrQiBDokIG5ulY0uoscWUARKKcE6Ia1LiMXOM8nuIyrvOY81pzWtelpNg1DRGkuATvuNYY4zJP67I4a4W58cFZm1NS0bjGeZ7nebmQ+cQYWx/2m+3NzQ3XsswTIr569eoyCwERvXPGUNs067Kcx8k6P68rKzbdoGjIuqub26fvf9B2Q9dvlpSub26urq9ub293u12t1VhjyHIVQ2ZZ1u12f/v48bQs6xpDaAhNytmQqaWoQNO0MUZU6IdeVQyis2a73VrjgnOM+NGr82FMSgQg+JpUUBU/zSx9A+An+Oze/ip808XfHG++/rd+mc/e8ia+/tuFd0EBfL+f5Nt946+3Dr60gPp1Pc+lav+1F44opa4nS2iMISJEIkOqIMxSCwgjKqgAwOvmfkAAQkRAtM4PXbv18Nf/4d+U+Uyol9nxXdf2XcM1ESghpRgRtHK9TJpBBK6lbZsL+/GjR4/6vrfWGqLGe+dcrbXWUrkYS8wMiET0aZN9qbXre+uCqBpraq25Fucscw3eGaIYY9u2wYf9dltS2u93xhhUGPrh9va2bVvv/W63s8aKiDMWAKw1yzJfVCPXuq4xNC0guaZRJEFq2j7nal3wPrCANc6QIURnrXDOeUVlACk5q4oCL8tcOYOycjHIjTPj6b7k1RqQWnJaENWilpyss03ThBCC9ZzLeDyjqAF0ZLUKAaJCzQVEcyzeOUIqMac11pKds7WWC8PoMAwiTIQpLsf7u/F02G4GQ+rs6xrUh+Ox6brzeTTGzvOSSk455ZTu7u9SSuM4ns/nu7u7ywy1x48fd103DMPpdFqXVUVF1JCx1gJi13WbYSOV8xoNYK0VFArXUnjo+267TUWcc8b5l6f1Fx+/YiDV19b/622n31gO/A6E+5vjN77GH9O/X4W3XgHo9927+Obb+osP/VLl8VUsKK8vRgRAUkUFRYJa8nS6ML9dZmkBGVVVEBFmrnCJ/n7yihcpiWQQBMl4F/bbdn549uzv/tKjIqGoOmd/8MF71hoEtNYoqCq3Tdv3vTKL1Jzy3atXpRTvQ0op51xyLrUQIoiM49h3HREhgnN26Pu2badpck1AQ33Xbbdb570i+aYzLqiqqJSSrbVd15VSVaEJYVlmZ839/f393R0gXGLc8zxP0xRjGsfpdDzGvI7T6LzbX+26rr25uRKW8zgaa33TWOebtvO+HefV+sZYb31rfUAypZSaM4gQKkgxFpvgnDOgYshb6y9vpcq1RK6x5BWk5DgTlHWZ4jKKcMlRaskpnk+nZZqcdaAa1/j8+XOute96riyiqhBCsMaezyOIhOAJgEtREVQoMZacU4yn4zHHlVSdNZzz4f4eRHNK67peqB2MMS74Wus0T5vNZrPZhBAAcFkWEQkhtF0XmoaZEUFU5mUetlu0JpXycDyISNM0TWiapkk5z/P88HBYU0ZrBBFQrXVKtKTyq49ermvc73cV7N/84mWsioZeD6F43Yf+tlq1vwN7/B0z+T+Ht14BvO1QuMhzURUFKiXWOBsEIrxMfWRmeT0AUi+M8yysF46CT7xwJDAGDDkyoWmbjce/+nf/Fku8jIVBhB/+8APloiq1Vu+c81ZYLjGNJviubYQ5xwQC8zwj4iUGTUTOWlRd5gURmWvlmnNu2/b29nYYhmEY2tBeWD+vr2/2+/31zY337ePHT6+u9gB6PJ76zbaUMs9zLWVdFlLYDptlXnLOOedh2Fztr1XVGhN8OB1PF8P01au7lJOq9G27GQYRaZq2lMoiudS27bxvyThAU6qsMeaUOGWDYIiYa981ABWAL44UKAGhqBCRMJccLcF8PuW45LSCFK7ZEHCtNWeVSwEST9O0riszI+Ld3f08LzkXUQGku/t740wI7cu7V+dpuj8clnlep7nkxLUSAJcKot57VU0xVhZVSLmQMdc3t6LQNI33nplTisL15YsXxtDt7e1PfvKTzWYzDMMlzTPPq3O+FAaAGNembYioaVvnPTOXUn7+y18cT6eUUghht9/nWtZ1ZeEqcjqfjuP08uF4ntPz5y8Rwfv2xcN0nBaBS1ARL5sK3zW79vN4t4X4d8FbnwR+k9zvV3kJ30v+6jcu8oWIP3z2ZS5cbwAKSAhQ4so1vRbzlZkF4fUUX7gki1VVWEX0M6lvVUWjVImM9yFc7Ydf/82vHl482/3wx8qACDe3V4QoIrXmYB0ocK3MbK0ruZC12+2W0DGDABiiWquKpJSaELxzKUZF2Gy259P5daGktdNh3mw2yxINGSJSQFXtN4MP/iI0rXM+NArqvQ8+zCVbZ61vjKGcUy0F0QLANE/OWVVd17Xve641ZRbhCx1nSsk7fxkor6rGWLEG1FdkMtYat8wTChqyAGKQwBqutW3DD3744b/5f/2/h80VoEOQzNE5qyqEF5okrqUggjOGa5nHc84FyaooEnZdh9aW84mMcd5v97vT6eyCTyUb52opxrlcytX1VWi8io7T1AXXts2lemoYhvN5LKUAgAqQcWQsICngvESybk05l2St7dpWRR8/efJwd39/9yqEJufsnDsdz4CACqq6xtQ0rffOWJNzJjJ9v3HO5pQvf8m5lv1+x4WrigEF0MPhYbvd1Czzss4xz0s8HmuM1841sabTef5g38iFL+TtrwD68urq75tZ6HXd3TsXBfqjB/AabxL5+cpSzu+0J8RAUXSM3mnl5VRr4ddZXxVhADBkCInwUqohIiKfPBPxtR+gQIhsEa3td8OmMennP/v3Fp0oqKQn17vdZgsANhgiNGCd974JoWus9wokDACgICmvuSQR5lovU2Kcc33fBd/GNceYhcVaq6rW2pTS0PfDMFwIieZpXKZ1WaLzTWEoAqVWfU1sLYioiIhgjEWyPjRt26YUX080AOy7zpDp+401bhi2xlhr3NP337fep5RjyiyaUiGyQAYEQrdxTTv0Q9dtw+bWDzsyyIKIuKyn/+1/97+8ssLrUqU4BwCioCwSc86lMLN3BFpLzcaZlJd5OnJeg6ec1nk6qzABgkKK+XwaDRqp7K1rQwjeG0OImFJSAUNmt92Sc83Qt10LAPM0EYAxJsZonUEQlMo5rvPEtczzYq1xzq9rMtajsUgmtK2zbp7m8zhWrk3jEDHG9TLpod/0BgkBl3Gap+n+/n6aFgUUgb5pW+dFxTau1Hzh83DWOxtYhKs2aLSmw2mapjK0TgmnuaoaIJbXBQisyN9hA7/1+Ny5/uJx/tTY+uLFbzveEQXw9eL7s5byF29889W++MvPFkJ845d+vQS8ZoEABeAcFxUlvOR1L5VBhIh8mQqslwmRSEgAIAKXGYUIBGiICAyhNaFtrvbbv/2rn2nJF064/X4/DIOqEJIKXxiGicgY6od+GIbLuxgi733btk3TvC7CqXVZlhhj1zY5pUvUQlW51hQTAIzjtCzLdD6vy3JpDgAFZr65vX306NGw2TjnnHO55M12M89LjKnWSkSXkHetVVWXdXXeWWuneY4pAoCIXKbyxhiXdfm08j2ExrlQS3XOA6A1zvvG+TBstj4EJEQA7zzn/JMPP/if/8V/HedzSVlZDBlh8SGEprlQ7PFlwKYyKDfBG0JjMMYZgNdlOh8PBEqqqiwsqrCua6kl5xxjLDnHGGutopJSqqWqaq3VeV9ynudZ+HUvxTieVTXlfMkJNyE0wV90uaqeTqcY4zRNx9NJFG5ub95/+l7wfn+1b4Lvu857T0g5p0ePHw9Dr6oqknMiIn9RzCFcwkGiOgwDEZIxuRRlVtWcsrVmtx2cs9N05ppF8O7+VBkVCAFAEYAAzLfcvX+o+C5i+h0T8V+Pd0QB/H7xnXbMaw44QFUQLnE1iEQGCRVQEVm0MAOgIgFcqB8+UQ4ql/pIJSRj0TowBskQue2wOR/vx4cXziAodE07dI1weR1DEi4lBe9rLiVnZr4E95lr04QUo7PWGAOgzHwhJS05DX3rg4spXiog+6F31sElVRBCrfUScCdD8zxP83w6nRDRvy4lEiKqtTBzyrntupzzhf/ykgwQVTQUvGfmy5pIlHO+lKU65wDAWScKlXm73RMarqqKl9aBlPOyrrVWQ4SAtaSyzP+7/+5/5Y0YFEAkYw1ZUCSySAbRAIC1FphLjFLy/7+9P3u2LT3uxLDM/KY17Omcc6eqAgiAIAUSBBsAAbApQhZbbarDGkJ+85sj+m9yhB89RfhFDtMRVtsOdYRaCskKW1K43Q5JTXWLbLLZQKGq7nDO2Xuv4Zsy0w/fuZcXNaEKqCpUXTCj6sauU/uutc5a3/oy85eZvx+B5LSWFJ3FYfDOEgADiLMGQH3woe+QaBiGy8tLVci5Uf+b7XbrvA0hLMtqyF7du7fb7UPf2WbOK8A4juNmM/T9usyd9yXndV2HYTDGzPNsrXv48KGoplIfP3kndEFENtuN9x4BcoqP33nnybMnXdfttrtxM9ZaxqFz1pxOR+ccMxukFGMuxXtfcj5sd6Xki8uDtTQO/WG//dpXv/zgwT3nrA/9W49vbk4r0V0hGID0V3If0Jfsff/ve7/8WV3aZ2df+Af/At//KLO4L3/n5bTuXf/35+gE/bjf/6nFd9cLJMil5IUQkAiNASKFhq0jGdtwZAAktKoqIq3Lk0EVAcggGTTGeh9C2I2D4fL07R8hASg4ax49vEJgFeFavTfO2aY75pwVYQBVFWNIVWotKcVlmUPwXReGoe+6rsXjIKIq3vnNZuOdE5U2GNzUC1poH0Jow1MAcDqdWow/bjbOuda2KCqIqKCZy7AZh3Hsuq7UWpmXdW33pJSChFUYoGmdWxVtLEPMAq1mQqaKGhcKiwiE0Blj2mMotczz7bd+++t/8P2/Fdep1spFuIqIElHf92iMc0FYQRVEuBYQriUi1hxnrtE7tKSEaghCsCJ1t9uy8Lws1tqLi8th2IjIsiwxp3VdhmF8+PDR8Xy21oWua6mPtfbi4gIAYozMfD6fU4yn421wtv1kt9sZsjnlkuswDOMwpJSWed5utjfX17c31ynGJldpiM7nc655t9v1fT+dz6o6DP28zA2RW9d1Op/XdTVIXAoR1VJUNcbl3v3Lfui6LiApEc6Z/8WP3lIkVQEVhc9vDfijbLsvvqM/bZ/UGT/8P7/o9oV3AD+ffZ6e4t3rhyDKuaZoqFXnSIEQyVpnnQcy0Ljwmz7MiwEcFpTWxYGIBskgkTG2D+FiO7z9V/8CQUHRkn3j9UeG1BpSlpIjl1q51lLSGr13xpDztpSSYkQE55w1NM8zgFaulfMw9DEmQyRcnXOIyJUbf9xms7m4uNhsNsaYFrM75/b7fdsBU0qn0ynnbKyttaYUVbXUMo6bYRi89967vu/7oT+dToeLQ9d1oFBKURXnDHO11pRSXHDdMOScsY0Ie4/GkHVI1rgwbne7/aFp4wChKBQuzum//+/9MWEVLt5aQ9Sq6+ScDx1Z61ywxvrgrbGgiqBSCtcMUtf5LDUb0nk6oQqhGIN9Hwzhzc1Nk+EMoev7XkTGzTblsq5RWG5ubpl5jXEcN9aFUqv3XkS8d13XiYiKWGOstdM0MXPfdyXnaZqur29yzsF3j99+PJ3PlxeX3gfn7G63PRz2qnq8Pb799tuPnzwZh5GQ5nmepjmnuMZFQZ21Qz8QYBcCiyAiEjWP3sowyzLfAYDW//mP3lpzvVtEIAjyy3wDPtheHjT78G9+4m/0RwnpPk/byM9pX3gH8ALcf9+U7YOe0KcN873vqfGn7aVvo6oSgpRU4myICC2SASQ0BowBJFVQJDQWjLkb/sW7ojDI3VuMiMa0+X5yxu767slPfqRSG8z06OF9gyqtSIraJoyJSKSmGBGRjEHC/W5LACnF7W5njGlAUCkZALbbMXhvjbHWAEAthWvtunA8Hk+nU8OFGgrUOAlUtRUM+r431i7L+vrrr4+bjfe+lhpTzCmnlEqpIjKO426/I8S4rHFdCaHWsq7RGFsrhxCcdURorRnGXlRijCyqotb5YRiHYWuME0UEYFY0PqZcOf3g9771r339yzUtzMU0FhzEWlkVQJGM6caNdaEfB+c9AqaUlEVKlZrjOte0gJR1Odcc4zIddhtVHse+CTWzAAuklJcliiKQHTdb3/UKdHs83Z7OClBK2e12m80mx3RxsbfWGjLOOWtNreV4PJ6n87IupZRayrIsMcWu787nU+X68OFDIhqGwVq72WzvP7jvQsg5I0LXhdCFyqXVeIahvzgcvHXeuXmeVRUU1zUSESCKyNAPOZVaqncmCzw+rm9fn5BIAUEV4fNbBP70XtX3fxl/xewL7wA+yH7mc/1kn/ovFguggiJqigvnBG1KE8kYC0RwxwpskVARgAjwTivmri1BVaqCCKo2ieDWU3+x23FaS4oICCIPH9zbbHpQcc4RAYDklNq4sfeOCIUZQJdlUZHpfJrnKQQfY9xsNiEE5jrP87IuCHh9fR3XiIjeedswaGPWdXXO931/Pp+fPn26LAsitgowEYEqM1/fXHOtpZQGWztrD/vDuiwxrre3t6DQGueHoR/H0VnHtapCjFFVc05IgAasM0RgDBlryToy1lrPAqlUa51BaED/GhMKX+zGv/PDP6CagSsiOEfO2uY6g+9yKoqGFYGc8x0ZG1yQyqDaeesNpRhLipzTfD7ePHtS0iJSY1xVRQFFoevHbhiNde88fgwAuVZAqMzjZouEgLDdbKRWVc05P3v2bBi6NS8xJ2ftuszee2tbjmfv8HgyKZdxu52X5fHjd0T16bNn67o8efJEQdv0QPAh52yt2Ww24zheXlwYY0C11mKM8d63Sj5q6x2ANSVjPZI7nSZvbCowZfiLv3oLKCgYeEEN93m1F00c8MvD4t93u3gFPMer4ABeuPHPfnF8UJ7xvu7nfTFKvGvlBFQ9H6+FCwFgY3t+wROKrS2IDBnEtpk2ilC5O44qKgA+r2ogGsSh75RrjLEdZrsdh6FDACISFWstAuSU4hpTiiXnXLJzbp7nNa6EJCytFaeUAoDrGoe+r5Vb1VFE1nVNMZacS8ktzF/XNee83++HcZimqencElEpZZqmUiuz5JSJaFmWEAIhvfnjH7chr3a7bm5uFHSz3Rhj9/u9tbadS0TuAKUYz+dzFVbVzWb0XVAAUcyl1CrehmAdiCJQWhMqoNQf/v73D2MvXHOK8zyv62Ktdc4ZssOwyaUqEgAhmb4f2gZKRHFdiJRAuBYAcZbiMv3VX/5lTJEIl2UupdRakSilgkSh61JOzDJutkjUdWGz3Rprr589O5/PoNpwMxEx1h5PtwhwdXmFquM4diGM4/jwwYNxGI0xJefr62trbS4FEddliWsqpbYGKudcTBERnbOdb7Sp8fb2ti0mY8wwDKo6rUvogg/+8uIqhP72eLLWE1pLBtAAhb/4V28tsUKjk8LPuw9o9uKt+cWx/k/qIF90exUcwHvtRbDwmZ3xI8YC73UMCKAqCgAS5fZty6UCCQFai2heiEGKKiqikG2QECiJICtqi4wYoAIqILR0QS1ZEljOJSYxqlq2XbDGVmi9RUAGG50yAngb+n5sgM8wjF0/bHbbw+FweXk5DIMlZ9AsywIAzFVAQ+dFat/33tngqA9OlUU4BH883YYQtpvt4XAAgHmez+ezMWaz2YAikUMkYX3ekEMhBGMMIpaUudYudMKSYgaF83ROObeGUVbJtajCxeUVswzDSNYRmN51Fo2ozutamasIo7eOLFRmyeBL5d/86hu//c2vcJ5Mo8NTRgFH9nSaqqhBQFBRUTJKxnY9GuO8R6KUsnNkjYLmEpfgyBvUvGqNy3QqOU6nk0oNzqDKZhycdVJ5Op2dMefTuaE3xtGSFhssi7SuIUum99319XUjw6i5pJjm87RMszBvhmG/23fdEEKPRKWWzWZrrRMWUBi7cdNvgHUYRy5ca25EEeu8HE+naZqmdZnWpRsH55zrfC4l19L1vTGGjGGAcxWAokyPj/zW7ZGoEFTR5+zjn2P7QAT1k7NfQU/wajqAZl+UBK0180ipOSdDhHQ3GoVEjbDxxUAAkWkUoYhAZNAQEaqqioACCFBTHAc0SM4YFM0xEpKohBAuLi5EWCojkrAgkfd+s90+55bAZVlyLYBIZM7n8/F4tNbmkllkHAYypu/783kqpVjniKjreud8jKkxNpdSEajpmxOidx4RSynruiJg2xD7vvfOtVJBa+9pLZ7GWWOtdRYASim5pBTTOAwsklIyxrTpBOed936N0flQWRAx5RJCuLi6Cv1AxgAiGCJjWr+sigxd+J/88A+UudbcOB5yTjmnzW5k4aaJViqXUnKpxjpFUoV+s0Vri6iAIiIz5xi9MzWn3WYcu45AvaPpdIzrktLdr2ytcc6VWo0x59P5eDy+8aU3Ntvt7e0RCVuGJMw+uMN+b4xRFWtt13UXFxetp2hZltPpBAAxruNmbPvebrc77PeE5Jy5vb1x3p3P5zXGaZpFxBrb9z2Abjabli21215L3e92x+Pt7fEWEZ9dX9/eHmNMfdenXKrQj37yBDCo0ue0BPwe+7QD9g/ZMV5V3/AKOgB9iZvhM/MBH7Q+Xl6vLz6/HMI8ZwFFVZHKjaug1Rjl7l9VkUYACnezYMB3+oIAjQ4UEFhBFBRIwZAxCAZwO/Ta2jQVvPNffuN1KbkND6tCKYWFiYiZT+eTiBBRE41Z12W+C/kZAEspy7oej0dj7aPXHl1cXLTf5Xg8AmDOOeeCSNoorBWOt7emuYScG75xPB0bmjSO493w17I45xpGlFJqiIqqtoEpESmlLMtScm4kEFxZVZd5IbKEJCLd0LOCAsZc+m7s+8EYR8bmwgqYcm5kB8z5e9/99oP7F8pVhQnpeLzJeY1xIdScMwuHrlMFQ4aMQSRFIwLGeGuccz7njATjOKqIcvnRX/0laCHgdTofdtvLywMoe2vWefLOeu8Q0XsfgieinOqDB4/GcbPf7/u+H4YhhHBzc90NYbPdOOdqLY0Sdbfbqeq6zhcXB0KstVpjmMs8TdfPnm03W0Scpsk5m1Iax7HxdTfNABbuus4as9/tEPF0OqnoW2+9dTqfiAwCimgIXT+MhDj0G1WcY/2XP36SKilQqyS/qnvcB9mHbw6fPYrwS7EvvAP4OYC8T2mtf5TDvvc7d+rtCCoCytTEexWVWRv9iCoCEqKqiojUCsygoloBGIFJlRqO1Dwf3uUQxpCztqQMqi1/OBz2ygVUQLR5muf+xnjniHAcx1Zm9CG0rXlelzbh5b0fxvHx06fruk7zrKoteK+1brc751yTmbLOlpyddTGu3rtaKiFJ5VLu6pOPHz8G0C54ImTmJ0+ePHnyxFq72W0b2Y6opJyab+hC6Lpuv98j4rKuMUbvOxFh1kYySmSNdaEbyBhErMxARNaKwrSs0G6L1Ddee/Ddb3+Ty6rMoIKkMS2lJCRQlbhGQnIhxFJiSi0xESAFrCyoxrsOVEuOANoHJyWfjzclzgj18dtvck598Ju+2203bV66CyHGaK0lopvb4+l0QsTr62u4awra9F2XUlqWOaVEhOfz6dmzZwDQyubeu5xjSqmxiq7rcj6d3nzzzZLLdrs1xqScmGtKqev78/ncRjSMMf0wEFJrvbXG7DZbZ9zQD8xyezw658mY0+m4rIuxJgs/Pa7HOaLBF22g+h77uCv8U7VPu2nnQ347/OmB/1emePCFdwCfmf18j/zl9fri808fhwAAVYSLSlVhAkVCamKPiCoqIgiKKspVa+GSOK+So3JBFURR4TuWUAQyhgyRtdZaH/wynVodGQB2m9FasoZERFVEK6jmnFW5kduscY1rXNd1mWcAqLWmmHLJqsrMoQvb7XZdV+aqqs+ePVuW5fb2dl3jvMzeu5ILAITgHz58qFxrydvtJoQgIs66lJK1ttaSUmo0CWtcGwDivS+l5Jxbfw4h1VpFBBAPh0PXdX3XbbfbGFNKyfvgvbfOVebC3Dg0ACmlDKoiimhYYV5Wba4VxDvzd//OHwaLNUepxRqDoMLFIA3DaI1lrn3f3bt3zzrvXFDArh+GYfQ+5FJSSgBUSs0p1Vy6LqCyQQ0GDcrjd9463tzcPHt6vLkuOS3zNC+Tcy7nrKprXFMqxrjmzWutP/nJT2qtBAii1jb9A1trLaVcXl62wWlrLRE21Kvv+812M45jipG5AiqAppSI6Hg8NjEgJCqlIIIwW2PHYVzm2Xu/3W1Tzt4HY9w0z/M8V2Yi44IR4DmW47wqCHxe20A/JLH+jK/kl3XST9v+xgF8DPs0og+FO0Yu5aK1NNJmQrDGoCI0CIhZRRAEgRFKzUtdJ02rxlVKAmFFAWXhyrWqKiAZ68g6a11wttWZReXBg3u7sUdhEW4SXc4aVQ7OIiioxnWpXLfbrarO8wyNHcg6a20IQUVD8CJScnlB/IBIw9C3MvZhvx2HHhGYCzPnFI2hcRwUtB96VTXGOOeEJdfSWEKNMcx8fX3dUH5htdYZ67zzwYdSShMoXteoql3Xta7QnDMRIaAx1odeROMaU0zMgkjWWgCqRVQBEUFBpH7v29/8xm98hZQJlAgQVVmWeQbVEELJeZ3XnHOtTMZIlXVdS6nGuBA65xwSIpnQ9axQK0NjEy2p885btISkskynaToNfTcM3Xa3cdY1dd95ntps3TwvIQREE9fVOweqJedh2KhCuzONHwIQyRjvQ9/3Lc0KIeScrbPNPXjvAcBaR2TQYNf73W7X/I21hhSGrmsNXSq6GTe1iQuLlsronHU+BM9cS+FpiUD6eRsEexFs/XLLeC/v+L/0i/mU7FfOAehPM0B8dPvUHj8CKKJyKVzKc6BHEAgVUZVAVUWFQQVAQLPWKGnVFCWunBLXoqCkCly4NIQHQMFb76wHYVBBRADZ77bBu8q51lJrBhUEqLWqSteFWhMhMHMupe+HYRi6rnuRdMcY12VJMbUaIyL2XR98aKMDTa2GudaSQQRErLVIZl3Xd955p926w+FQSmEuxprWCVpraYMCIlJS0arOWiI01uRarfdNoMY512oVjQtPVWPM1hpRqVyNMarKXFW03OUQoACVhQW00eyJXO77f+uPfth6fmrOyoyAqBjXudZSa62liEjKpZHtaalNkXG32zkXCI0CGuuGzbYVRZhrTmvNqfMelJHUOVNzimld5uV0Orauqq7rrDXTNPV9H0LX2K1VcZ6Xq6t7hgxXbhPC5/MZEc/TVLkSmXEc1xgbCQcA1lpLyc0dXl1ddV232WwuDhcteZqmyXt/e3u7rMuz62fNQe73+5vb2zVFYx0Z6/tu2GxShfMU+74fh0EYUywAH6MI/PO9BZ/D2Pl9Aa73/fyyvXo+4AvvAN7VGfYyxvJe0OYzWIgfEyZqhOwKoDktXDMhgKiySG0EzU23CVSYuTaVgJpjXmdOa81LzbFyAVRU1sqaq7IQorIAQHAhx9iiYFUZx24cu1Zm8Hd0DkWFQaGk1CYSCCDFGOPaVnorCzeS4dvbW2+sipxOp5xSipGZx3EEAGtMmwxouxgidl03bja73a61+tRaj6fjvC4AQJZUdZqmuEYAaD4grpGIgg+IxNyi/rUdk4i89yrS5K+GYei60KJgABCVkouoslQA9dYSGVCsXBFRofkDBeUffO+7F7utAXLGiAhzaWzbOcU2Vx18cNbWWp13zntrzDLPraVHFXzolnVlZtMuOEYkmpd5mWdCqDmN49D3nTHEwsxsLJacN5tNw3lSisaYNre33x9SyqfTqQvdui4p53EcW4qzxjXnLKKsIirLuiDSPM3DOIQQzueTMXS8vQnBI+L5fGpsfd47e8e0kXa7rfe+lYKtscwcU8olT9PEKoDuPK3rGp21tUhKVQERP9I+8HG3vw/fZD/6ET68MvFz2Ec8wsuY7S94xs+tfeEdwLvsxaN633pR+8lHWU+/4CP/yItVESoDITAvN1qTKhpsk2GqyqIMUkkqiqi0LptABdZn1ymecplKPEuKIlyhqigJEBfVokgE5FE5raqCQKrQ9+EwDqLiXHBkHFlhRKXGKxpjNhSstQZBa20yu95a7y0heOeEGQm9dcE5LsU5u8xzjikuC6i0Gq81vlbJVY1zDetHxJILIa3r6oxVRRDofNeFnsis66ogxlLXdQgooKzcdZ2wLPOcYqzC52lqiFMpxRgKXYcGq0plJmrj0chVXeit70NwaIwSglbEqogKiCpc5Wu/9to3f+srNUVhFBAyDJJI2QB7i9aQ1GoRpFauXISVUMlMa0Lr0JjW2CNcpRayVgBZFIjWtFYuhWuMa4yr1GIROWfJWUpupB3W0HyeGxLHAqIwDAMRKYg1BMpd5xGVuXgXTucJEafTWVXJGLJme7nv+tANXc6JAK1167wgKNcSp8UieeucseMwbrfbUgoiEqJxthsHFk2VC+O0lqfPzk+e3f7ox29OcxR05P2yLqCKSo0b5FOyVyBw/qR8z+fNXjUH8F577+J7r1d4+T8/48d8dyaROE+gSoaMMQap6T8qiwrDc0V4AGXAoevSeT6+cy1LhZhgmWlZG5EDqtRauBa9Y4puYiyAgKoQQnj44D4rExGAsnCL+hWEVbz3xpBz7uLiYhw3MUZQMNbOc2tWoYaVW2uGvidEAui7LoQwjmOrKjOzD45ZmOu8LCLinWuc0t777XZTau66LueyxrWFxs65GBMiEmHMMeXovQPULoQudJZck0o7n8+11nEcjbGlFGstKLYpglJr6LqLy6v79x90fe+cR2zyOXdbGj5f5H0f/vYPvucsOmsQ0BinoqqsoMw153R7vCGiNiuAiH3fP3z4cBxHY60PQZiXZUVqYuyuQWS77bYLnYgaY9qk7rouOSYVPp3PueTT8TbF1CiYcspDP8QYvfdNbzLGqKCtjYeZY4zeubhGVW1JDxF1Xbg8XJC1hOby4gqRuAqRUYHLyytVZZF1Xdd19c4FH6x1rZJxPB6fXV+3vuMudKCQUo5revz46TzNoeuMNbens8gXYgr4l2mvgAP7IHv1HcALe7Gzv7y/v/xoG/wOn8TzfhmY+lnuhAyCpDVNkwUiIAREBHrxl1mUWWtRrqSgAqWW4PxP/uIn09NznCYuc42T1EwgqkWkqFQRZqlkjHUOEFuTqLf2wf37KlJLEmVVsZZqZRFuseka11LK8fbYBkeRGtHYgEil3OH1L3Y6RLw4HNpdZeYQvDGkqsLsjQ3OgQiooirX0mqtIYSLq0sBYZZpmhrns3fOkjHW9H3XGvxPx6NzzhhXmVmYCDebTUpZhL13bQhZRJkZkSoLojlcXOwPF4RGFZGokWu89BxM01f8/u995+piqzVZopqrAjSlNeFqDXbet1pGrbX9gillY4y1TpEEcBy3tVYWQSIATCmrKFHjJXKNg0FEztOx1iJSnSMAYS5cq3dmms7rsoQQ1mVBwhhjSimua+uJarUQVemDbyUErlxLLbk+e3p9vL198vjx8XgspWy3G+99E1foxxGRYkwxxvS8UAygzvuuG4Q1hK6klNa1MYHXXKx1p9PknUMyx2lpINCHvzUfYj/zLXjXT37mieAD0vdPxD5WePfyl1++nlcpD3gVHMDHys7e9UQ/1czuvUd+vxORAajrXNfJIIAAKRnA1qVjjUEAYVFRAkSFQM44t9T61ltPfvIvf7KcpjlOCSJKUa7MhWuqXBC0dZVb5xRAW4EE8HBxIFBQjnEVqYhAhMaQigTv6bm7SilV5hexf9/3AFBK8d5bY0Pw+/3e+zuQR0SstcISgj8eb+f53IaYGmsQ16oqxuAyz82/GmND1zVKOELabu5aRa+vr73zBskai4hEFLrO+8AszOycPZ/P7Za19vm+H7vQjePGem+NzalwFWNtG5dz1hPc8aXeMWdz/bUvvfa3fuc3QZIjR2RUVaR67wDu0oBasrO2C2Gdl3maG+hvrR2HEcmQNT70vusr87DZENK6Ru9cyTmlLCK73a7ruq4LiFpL6rpweTg8uLoyBClG72xK63Q6IoI1NI59g/KfUx5pZQ0hPHr0yBlTaz0dT4bMOI5N8s0aKyLn89T4PudpJiIRcM6P4+i9X+N6fX09TVPrGmqz1vO8BB+a526c2F3oY1ylVmPdmnlN5XMV335OtteXL+Nzckmfhn3hHcAv+GxejjLeFXf8Io7hXbHDh5wfAAgkna4hrxYBsREi2DYEYIxtkuvWeiQLAA7Jdf3+wX1R+G/+i//67b98O50jx1VLUS4spdQiwkjofCDnnHegAEDtWV8cDl0XVBjgObUoACiIChnabLfGECDUWg2gtfbq6qrW2nXBWtNglVxyrfXm5jqlVGoBgDbKm1Na56UJfh1PN0+ePGmjxcM4qioilpzO5+OzZ8+6vjPW9OOw3W5bznFzc9Pqxg0vEuFSyrouTV0gpdR6HPf7g7VWRFNKzoVpmtaUfAiAdJ7mZYlI1PAZY2i73bRCygvFBVAdO/eD3/tW78i2SQtnjaGSs7Wkwt4aQrWWAMAg5hiFa618Ok7LsjIzoqlcVTXGxMyh69rgNBEFa2vKKEpE292u7cjCXHIW4a7rxnHYjuN+t9tsNrWUdjcvLi58CNP5fD5PgDQv8+3t7c3Nzf379/f7Xbu3qhpTYpZx3Bz2Fymm0/G8zGvo+pRyraWU0oTYLi8vW/pyOp1EBAn6vrfGpDV2oRv7jkDHse/6brvdcs0ppjnycYnwOSt1fh4A91cY9nnZvvAO4KPY+y6ml/NN+GhcDr+44U9TlqqqqpDW9fgM8koAxnnru0Z/3zqAyFi0HsgaF9B4Fha0V/cf/fAP//X9Zv//+2/+6eknJ7lda0pN97yxRljrXOiM877rFEAVQEFFN+PgnRWuqszMOeeGRYz9sM6rirQeR1FRlVqKqhhj5nkCUOuMgJi2P1oLRCmnEAIROedOp5O19uriMPadJWOsDSG0zXde1hQTECKSqgjzMs/GmJgSIs7rcrg4xJQAIIQw9ENOeTqfpunMXLz3fdf3XS+ip9M555JzKaW2NAIJY4oKMC3r8XSqVchY6zw9dyftH4QmfwBcy/e/+7vbTceVnXVogKuCQs2lpMRcpJa0zqp1GPpSCrDkFGujOUKstXofiEzf96pauTbWJmNMSrGUFONqjc0pOecbNLSss/O2ZVoi7Jw7HA6NL88gPXnyREVC1w3D6IM3xgBAzvnNt946HC7u3b/XohJhNtae5+nJ06cPHjwIfRdTuj3eHk8nFzxZY5x13jfe/xB8qcV6u9vtrq+fpbiy8DSdLNHhsO2DG4a+ZTyAEKvcnpYmkPmrsOX9KvyOH8teWQfw4TDli5+/azuGn+UtPvx0H+XCXs4zFJQQoObzs8dYi0V01lvrWvRPZBGJyPX96EJv/UA2FOCS2Yh57Y1HP/i7P5xd95fv3B6PE5eqIoh0N0eKZKwzPhCZ9mu1fzbj4AypCgCG4IWlzY7lUvqu48qlJGH23jnnhOs8TTmlEIL1rut76+xut3PBG+tactKQnHEct7vtsiyq2jY75ztFA418GFARh2Gz2Wybxr1UaYPKIXTe+yqy3e5iTOfTueZcSxGVYejWuOSUrXXG2BhjKZlZvPcAmNLqnOv6rtUnRJWQGtBBhmy7Bc9bgkVFARBRann06N43fvPrUqsiOGcacYa1Vpi5ZkQlVAQRZsKmt6M5JxUlohhjcz8NtW/hgzHGOldLaVmLijjnT8dzrbKuCRFPx2NraY05NkTq6v69dV2b3LEx5urqigx578dhCKFzPngfHj9+PG7G7W6jIM654/E4DIPzrjAbY4bNuD3sw9C/9ZO3l3kFRWscAp3Pkw/+wYP7p9OJmYehD97vttuSs3NmGDrhIlIBZJmn3W5HLlzfnPAuRvh5TD/APu5f+aB35LOxXxHA5732yjqAn2kfsrw+g8X3IvkgxLwu59tnygVAvXPWuXYBRE3B3JJxfb8l4wSNsdaR8yaIxaUzf+/v/y//nb//949c52liZkNkrENEBVRCH3yL4ttWpgrDMIzjQITWGFU1xrAwIjZ0vtairKCCgLXWZZ6D90PfETaGzsKFS61d3wNCEx5pfeiqgqi5pPYyX15eGqLWlh5CeO211wDAGCMiBrGWqqDjMNRaAUFAb4+3p9MprrGWikS73c47b6y9OFwQUUxJVLwPiKSqxtjdftd0FnPOxhpECl3Y7/cAqKoI0EJpfS5324TAAFBBumC/93vfNgZrKVWK6nPnjcBcmUsuEZQ3w2CNqbUMfW+N0aYliUQAw9C3xxdCyI3ZgmtzMGRMo/733nsftttd83NEWGuxxs7LNM1TXOPV1RUits0w5ywszAxIhRkQLy4ujqdjqXVdV0ActqO1PufqXHj69Nn5PAFRrdKFfrvdttVyPp/nZe66bllXFg0hLMsswre3t6Xkw+Hw9MmTZZ6HsXfOXFwc+r6rteZSj9NS+XM3CfzLvoS/tp/O13/JwNQnbvaXfQG/HPvE9/d3dRN95OMjIJXjM5hvyBRDQ1BwIkzgFFFJi5J1aAexXpUdgZcu0/Hpafkv/+v/lnb7f+/f/Q9Wzv6/vb/Mp4tcMSgQEXgFg8idhZSiKAMgqhUtfY/37x3efPu6ApZSQu9rUWcds6aYyBCR8aFjZmMtsZ3XiZlD6IZhfPrsVnpVVRae57Oq9P0gpcQ1hq5DMl0/9ONmSXmtnGpa49oF//TxOz747XabSvbeT+viQ2eInj590kJvRwZd0Fo3m9F5tyyr895Y1941sgYRN5vtMs/WGmsM18rMwzjkkhEk1kWk2uAh9KVmRlQAY9AYo4AK1AbpCACQVZ0wfP+7v7UfzG2knIshQETrbVWpuSAJKEjJ1RZC6Jxfl3m33xfmwsV6UwtfDhsAyjlZ61SxpoiI/WbDomDMaZkP3nV9YJac4zo30tN+XaMqpJT2F36aZwBpw8zLfBZVMh4Q23Rbzvn29lgzT8epMqMB55wIW2NEyrpM1uJyOiIZRzhuhrhGULGG5nXx3udUcinW2hgjCNy/d885qyq7w94a42xAmRTlcPUwL+sx8XmRlaX/nIWCP/c++zKu+8nah2PFX1D7nD32z4d9hn5eEXJaJs0MioK2EtU21drqtKjCFbhAinWe1uvrJ4+fvPmTt//BP/xH/+E/+I//8u13nt6cwAyb+1+aY6yVG4GaIduyGGdciouk1AQFVNR59+DBfWcsNIIgUUMEoF3fIWjjLSCCO7ExhOc9kaWUqiLTNDWJx2EYiAwRbTbb7W7b1FqMscuyWOem87QdN10XRAQRUoxtljjGmEs5T2ckNM9TEBGJKaaUyFAD1lvtN+fsnDPWIGKthYhYJOesoOu69n1fSkmpzRDY/W6/P+y3ux0Attnjpi4Jz4WTG5k2ojLXL3/pja9/7StSS5NWUNB5XhCADLWEhoWlZtVaSkTQdZnbFRnjEO0yR+dCTrWU0lr1W0Nq8D4E75w7Hm9zTq27P4TgvR/7voUFTS5NRSoLWdv3w2a7PRwOwfvz6ShcO++5VmEGgHmeRfjicNF1fd/3x+PN/Xv3Hz162AVviPquG4ZBWZuks3OuKUs4587ns6p2odvvdwpaSlFVY826rm1MjEWPx1PjEF2WNZeK8Jxe/Itsn+Br+7448Kd3ul+W/Y0D+Nn2IYjk+66Ad33zvVjnSw5GEaohBFZgArIVsYgqo6LWWhCElOfb68c/+tFf/bN/9qM/+7Prd94qS/rKl7/ya1//6v/wZ//8H/9X/5UzLlw8SLnxZ4KI8B2PNDrrpMQyn1GloSGW7H63MwactV3nicBaw1xFREHbZICqAIKoOudq5f3+gshO02yt3W/3OWVCGoeNiKxrjCWjsQgm53ynQi5Scz4ejwDQ1N63u93N7dFab4zb7/b7/X7cjIjYZqn6YXDeKygAOOesszFFQnTO5Zy24xi8q7W0YQVjDSIQ0en2xhCpqLWu1FJZVLELz8mLiJx39FMhW9NNUADue/etb32jlgVYhIVZsDU+GeucB0BRzTkGZ0QKc2ZhawwoEJmu75e0GmtC1z1v18IWoeccc1rHoQOFGGM7dWPMBiJEbMPMx+MtEZbSSi93zZre2z74FFdnjSHkWqfpHELY7XY5l+k8ca193z9+/M5v/dY33njj9Xv376tIo5nbbDYi7Jwd+t5a23W+977UCgg5p+PxlrmSIUCywZExPoTKuqxJFJBMLHVNRT/p7eyDagOf6qb5vq/qxzr7B33hldz94W8cwEexdz3pX3ARvwwpgoIo9tu9GUZQ8CBOKwAXkRbN1VIJcbfdXl5evvH6G1/7yle+9pVHX3pw79ce3vvqa1c83/5//tP/JN5ed7utKORcWju5qhIiARljHMj67JklEVAERKTXHz0go6UkVRB+ThWH2nWBCI2lZZlrKapqje37QUV3293Q9ynlu6JFzsebWxRVVq6qAqra90MXQhMZpiZYhtiFAADed0RmjbGU0uJ3RFLQxis3TZOq9sPwYv627zsX3H6/LaW0Mdp1XSvXcRyIgIU34zD0PSow167rNpttimld19P5bK31PiCiISPtVuMLB9ASIRHm3//+t8feGABjmgibaQXkNruAiAjCUvvelRK5ZAAJweecUk4iklKy3hEZUWgF4ZqTQXr27Hqe54uLA9+J24iq5lzO56lVCIgoxxRjYtFSeFmW4/EYlzXFVaSejjcpLq89ejgM/YMH92NcY0zLsuSc3V0bLv7pn/7TZVmIYLfbWmNO59PNzQ2o5py6LhgyrS5y2O1QNcYYQuj7PpfcKIaqSD9sa4VcZJ5XBVSkVBjb5Nyvnr38Or8ae/rHsr9xAAAfATF8VwTx4vsf8hc/op9g9f7y4eErX0uAWIupWbnkWmsVREPGVhYB6rfb7eU9P46VQJEOm+Fq7H/twcO3/sVfvPmXf9FvtghYUwZWVCUCpKYeD4H05s1/pTUjKQCK6GuPHnadZ+acUs4551xbhbeU1qwSugCgpWQRbVTM87yCAKimlPQ5Qxyo9n1vnVOEi6tLNNR1fYrZGhPXdbsZ2/GP03SepoZuO+esd7XWZZpQsZRye3vbGC4b9tJ6Y0IIKaXpPIEq12oMNbrjUoqxFgFZ6jxN42ZjjG1NqKWWWqpyRUTngyHTzqiqdz2wAM+xIODKv/kbX/n1r74mObeJM1RQ1ReaBMYYUa61iIgxWGta5znHVZWbFoKI5BRzTuM4kjHBe2Hxzm3HzbIsTfsXEZdlYZbdbt/3PSAys6j2w9D031qteLfZGjJDP4zjuN/vAUCF97ttLRURt9uNMBsy1tkYm6h9vLm5qbXmmhTVkt2Oo4qUlFVlXZZlXs7nM9dqjNntdtvtdprOOWdRMNa5EKZlqSwx5lyqtS5mjpk/056bT9Q+g8TiFba/cQAAP6/n/5Cs8CMfEFWp+uHL3/797uGXj1HmXEplBACgWhmRwBiwpgIWhYKmUBDf933/7W/9zqbfrOflR//iL3tyUFhLgVpQBZo6jAiLBAund96K64SEbRTgsNv1wTb2Y0PUWB9iSqWUNvpryQIgATIXEfHBpRRLLfv9HvFFg40aY3JOjV1gPk+omnPc7EYX3O6wI8S4rinnvutFpAEmRCYua6M74loJKacMzTE0wXTb2j1L8y5d1zljay7jMHrvj8ejiI7j2HV9qSWu625/QCQfvDW25gQiAHeDtdZabVs/Iqj+teaJojJsxvAHP/g2cAauzlpEJaQGLj0vTjgRiTEiAKjkvIJUrcUSEiqoGKKUYkop9IMAhq6rtW43WwQ8Hk/eh67vh2EUURHJpWz3+ypSuFau1ppay2YcLBlhqVxjSuM4GkNrik+vr0VbwpHjurbL8963oetS6jwvuRRj7bLMXdchmlrFWud9t9vthnHgKtM0NU23dVkBwDkvoqVwFZ6XJWU2xiugIKVSpzkC4q/mFvoyZPSFdYI/v/2NA/h57GU0/+Ufvvj8kRuZFVUKGNo/+voP/i4++OozxqVUqhJzLFLXnKpwFQFENJbQOtO5EFyHrz+6HMc+rcuf/5N//Kf/z/98ubmlKigCIlyyCiMRWeMJTS0lLQIKgKow9P2DB/cMkbO2DZqaNrNkTN/3hox33pDpu94gCrOqemdiWls7JjdiaqkxpyUurbrLlfuh3+13w9Az15TiOI5NOtgYIyrn6TxPc+O+N8YEH4a+RwAVEZbnGljkvW9/Ouem87mUzLVw4XmeQgil1lJyqYXQiAIaMy/LNM+n2xOopDjXkpi5sZaSob/ubUdQ4LvsDQiBpMS/80f/+sVuK5VTjKrCtXaha6iUqjbISESYK4AQqHLO68w1p7jM87mN4LZ4P5WyLAsz++APFxcAkEtZl2itq8w553ldS627/a5NkMUYc4w5pVZ66fveeZdSEgVRYNbT6bzbbXfbTVwXBBWuOaeu69rIRQhdTFkVNtuND37YDGhIEZdlyaV4F7z3zvrjzTGt0TkXQmetG4bROjdN0xLzOG5Trud56bqeyJ6npUn6wBcQBvmpwZpfuOTw4e/sF+7m/Ez7Gwfw/vbzjQK8vApf/vmHrBuEikhJvLl449e+98Phja/OuaZ5jnHNJQlUkVpyKqWAqCXTkcFaJM3r+elvfO2N73zrt9/683/2n/2f/0MrCqKca82FmVNOOWdA1Vok55ISIqqCKIQuNM4A770qtB3dkAGAcdwQkIj0Xc/CtVRULTGt62oMWUtdF9pd6frOeoutJoA4jMN0nho1kPeh5PL4nceN7g0Acs5N3b7krADWWuGqLKjQSKSNtbXWnDOoWmtFxPvQD721BgFLyfO8xBgVIISuCa3UyqLivQ99p6DzMtVSGvLe3Bj9Naitz/9UUEQwiMTCX/vql3/nm98QaUpqTcE+w51CjiLZ0PWq2sraRAqgBBLXBQFa6aNRGKWUuq4b+t45h4giCohto2+JSOi60HXzsqwxIlGTdGeuy7JULss6N6K9lIsP/f37D51zAHBzc70ZR0RI67Lph2max3Ekou126304HA5rjMsac87LskzT1NZe0yDz3peUvfMhBOtsP4zrGm9ubk/Hc6kVEed5FdXKcn17I6rzmirzFz3+/UR251dvi/9w+xsH8IvaewsDL//8g2KQFw6GyaECCq+AvL3/5d/94e5r33yClNdUcqlcU15LmpELIQpS4hin9fx0Pb55++zNt8DIwwcPrRpcc8prjAukrFyJtLMka6xLTGtMOVlQRRFgNea1ywcOa00V0KE1ZMFaJwKlFgEotXZ96Lwd+s5ag5ZCP5Cx3nvvHRE2cS5j7G63I1IkrbXGGFXg9vakCgpauFrnxmFYl9mTCc53wa/LPJ9P3hqWmmoha5Co1LIZxxACIjKLVPbWWWNEtFZhUN93KmKQLrZ7Y2ypdYlrrWWeZ98FMkRIwYfD1dX+8qohP8baRsT/4n6DIgADqKgoCojz6P5n/9PvA2dDzhjnvDWEwfW11FpzXmepVVWnaQKgWpiZrbPeIkElAgB13jrvAVEBRHVelpvjLdFd2iRSY1y41nVZtFZPVGM839xyLnFeuj4ocN91oHiaztM0jZvx9ni9rqu1tvMOVa6fPd1ud74f0QXnPVfZbnbztIDq+XQyQHmJ5/O55KKqjSOjVo4x3tzcoMV+05M1y7rOy6wgw9ARKSGE0DXVzJT1dHMsufzoZjkmQQSECgAK1KgzBMyn+/J8ovYLOrD3fVVfeX/wK+EAfuZzfe/S+YjJ4/tCPfiSfdDxXxg17koAACpK1Y5f+u3vXP36N1c0Sy5xiTUVLpJTziUqVgpjf7g4vPboy1//2u99+3ecxL/6l3+RbTetta7FMntEo6opLtfP0vGY1vV0PsWUoBFCqIDUL3/59e1mNJZa8I4IqkJIjR3IGEOIDalvuNB2uwHAxsvW94Nz3j0fxPU+eB8alJRyQsRSsveeRbbb7TAMu80WABX0jTfe2Gw33nkAaBXa/X5/eXFhjGnjBX3fd33XJgMas5C1lu9k63VZllJLjBERRfVwcXl5eeW9zylbawAp+OCCc84iYkPM//oJ3kE6TYH5jh2Va/7e7337tUf3DYIhYmYWRoQQOrwr2Erf9977UsuLHEVFaikqTAjGEBEQYowRVBEgxdiyDBFuise15pRTg30QMcZVRHxr9hdR0Fb5yDnnlMZhPN7eLvM8z4v3XSP4dN6dp1Pnu3YEQiql3t7c5pwPh4s2y73dbsdh9MF7b42hUnKtdVmWds2IKAqAdHV1f7/fl1LXZVnX9fr6+tmzG9/1MdUnz46Cpmmn/cxl/yrZi0XyIn3/oK+9ks7gFXQA731UL/bfD4LsP3v767wBoO0dqKhgM7jVbF/77R9c/MY3J6WUC1Y2gsJSSmRJ4Ho7bNzFzuy3X3rj0f/i3/97l7vhn/+rH99MPB+nfHMzXV+fb26Pb79z/aMfX//krbd/8tbxfIYmlwlIgMDl3v2LYei4FkLkUg3ZELphHKxzzrs2YJXLHeuNMWZd164LbUJqWVbnHAASmabNYq2ptTrniLDrPBEaY6wxLFKZU879ODDzj3/843lelmUW1ZiSMaYxhtZSSsnzPDPz06dPjbNNNDjeiVlqGxju+74LHQFyqc5aYY4xLsuy2+032912s40x19IkKlVVmugNwF8TIT3vBAVVVVARvrq8+P7v/a5y9s4aIhFJKd7BPs+pLLabrSHDzxES7904DOs6r/NUc5Ja13UWLndoj3Xz+Swi1hjn7OHiYr/fW2sQoc21EdF+v0spoYKzloWbkI6qnk8nZ8xrjx6B6rququq8v7m5KbV67+Z5yjmv6+qDL6WG0LURM+c8EZ3P59vbW4NESFeXl4f9niuLSEzJeV9r7fu+63skIrJ936eUSiml1lyrgom5vvn2ExaExp/0vHjy+YeEfhG4/30refjTdI0vvvnev/vzXvLny141B6Afqvn+IXDNuz7/fDWAn8O0sVUqwt2/pmKIpn/4je/uXv/alGvOiTmp8t0mpoqGKAzQbyGEe1e7//m/88cO9UdvP52O0+3jp9dvv/P07XeOT54ut7fnm5vzaQayiASiqoRAwny43D16eJ+5tCKsahMQ09YLb4xpJGWtT3GapmVZcy4hBGMsgLYY3Frbdd26rjlnH1zf9yLSBk0bIxszL+saUxSVVlwNfWDVXErbZEspp9Npv9vvNjtEzDm3qD/l3IZU29bfNHXbFFX7eS31fDzVWo/HY84lxbw/XHzlq1/Z7vbtqRG2SeOX+rIA9UVCBoAqAKrA/9a/+QfAuaRojEFo5V9tpNKt2zWmBITtcwhBVQDUGVtLSsuiXAnUEiFAKVlA4rou0yTCoHI63p7PZ2MMGuy60O5qCOFO3rmyVGauzthxGIZhnOdFagUAInry5EkpBQDP55MCbLabw2HvvT+fz1dXlwh4PB6PxyOAtjoKAMQYU1yfPX0CwqVUQOr7oTI779d1nef59nicpmmapnVdmmYDEZ2nORX+ydPjFGsr6Tyvmnzeh4PfG+f9Iu/sh+/pn9mG8BnbK+UAfmb61nDh9/UB7zrCZ5fxISkSAKICKZMKAlSl4g5v/NZ37f7yNi5LnGOcubBW0BqRK6EjvzXDwYTwpUdX//Yffv/p7c3tOS5zno9TXlZllQosQDakVEjAKSqiIAJQP4yPXntoCK0lAO37vtYqonFdVRQRXwAIjVOh64IxyFzbXlyeAwve+xcb5bKu3ruu65xz67rO08zMY9+riCV7Jw6cinN3YorMHEJoldJ5nvu+bwEy14qAzrnmy6dpalwLqtp0E3Mu67oaY4RFRJZlMdaUWtBYJGpbmDG21KZzctfd+O6njYCotZbf+de+9vWvvF5zEhZRvktfrGVmFiFDZAgRG+lpo/4HEGsQQXJac4ogrNI0DLIh2m5GQ9SoIJw1AECIyhyCI4NdCCXn3XaLhMsyb8dNrXWaJ0I6nY5d1+ecQHW3319cXhrrNpvtfrdflgUAWNhYAwDn89lYW/Jd226j6xiGAREvLy9DCGtMIQRhqcIxxvP5fD6fc87e+2laiIy1xlokAmOolIJkb+fy7HZqs3IK+iJb+tzaL/J6fqw2jVfbXikH0Ox9IaD3rdC+71//xUtJH+/7dzlAU4ZRg4IghJjVmfHq9W98e7XdcV1TXEtKOeYazzVFZiU0Sh7CGIL7zje+cv/+/s13nhZ2wqA5p1hiRSZL5OI0/4//+J/AvBCpICoiEt27ugjeCnMpVZittYjgnR/H0RhjDD2HsKsxJqUkIiI8T+cY12HoD7udtXZdVwCotYTg97tdGxUGgBBC33V9CK11Pa7rZhhzztM0AWKTluz7fr/ft8C/1no+nUHheHOroo0Jp93MYRj6vm/nauSjItw4HrjW0HU5ZwWslX/y1ltvv/NOrdU6p6o5V0CEuyePKoovngwiAAEYULzY9d/9W7+jXF/MC6tqSpmssc7GlHLJ3vtWo44xiWijG+q8RxACAVVrqNaKgCq63W67PhhAEF6WhWsuOaNCzrlpNbfCckrprvhhTVzXlJIhM03T1b0r62yt1TrfRrsR0JE5Ho/LsgBo5cpc13Vx3sHzGtJ0ntoxRWHcbLu+Z2ZE3W02+90OAYio9WKlXET1wYP7F/vt1eX+3tXFfr9z1t3O+e2n1wKgIs9V1AA+rxnAr+x+/YnbF94BvAu/e2Hviwx+SOz/4ggf9+zvRSE/ZHW+j+PRCiDPAYpGXdYUbSWh6R/++v5L3zhFXZalxJVL4jaBmmPNKworOAzd7nL43rd/6+Z2Ok0CjGVeEdz28uGDN35tGDeHcfh//cP/+D//v/1fLbAiAygBPnr4gBBZ2CDVWhthfou1SynM0sLe9qe1FpSbzrw1lFNcl6WmZJCY6zTNwtLqwK0y3ILlVoYNITAzAnjrDodDK5ky87LctT+2h1Vyrs9Pd8cJETqu9XQ6nc/nhhfFGA1SkxpOKXrvpHLXdbWW2+Pt8XSku24eW1lijM+Xd/MA7/c4QAny3/797zljWsLRBrXa79Iym1JKm/611gJocwClFBXtu67WonJHHVFLYi6n22MbbDZEFsEaE+NSay2pBB+C98JVKt+lM8yg0KCz/W6/Lsvbjx8rYS4lxtR1nTWWS/HOIioREOG9e1dIuNttjTFXl5eVq3O270KjZpqmaZ5XJDOMvbU2p2SIWimbEFXYhzDNU+icKt+/d/X6aw/uXV1YS7Hi7XFiFiRAQL3Lnj7W2/DJ28sZ+YsPPzPR/znO8rFe/FfJ/XzhHQC8Z3F8xHXwOUH0EATvYi1syuMCRoEQqqCpdnj01W9uL19b17wsU8mrVCnCqUYui1E1JghZ6uxX3rivCs+uT2lOwHrYX+4OV6wotRpmXeZ/9H//B0/eetNaQlWQeu/ePSQEVRFZl1VBVWRd17Zrt+3PGJNL5srNMaS4qioiOWsBlJkJ8f79+8650/nEXK0xDZFoxYP2BWdt3/eIGLy31jb5AWstkUk5b7fb7WYLCsMwENFms+n73llrkU7HY0kZVFstuk2QdSFst7vmJ1Sl77s2m9b3/eXlxeGwd841IIgrA8CdIBgANOjvrxcGKRAACZff/PrXXn/9kQgTkTCriDFN590S0dAPzCIiKgIAa4q1soqKalOJaQryu+12v9shYi4ZROd5IiRrrTM2eK8qQ9+XlK0xyzyPY9+IfULwTQfmdD4BwDiMOadxGJml1TxacihcW2XFWruuseu6Vqg/nk67zSbF2G54CMH7DhBLZe/9PM/Nm5ZSLi4O+LzjSEWPx+O8zMw1xnWeJ0OkQKdpqSyvBi3op2SfHTL8Wdmr4AA+yN63QfNdHz6l877v5w84rwHA526g1SCZVIwGUMqItL94+Ju/y/29c8zLcqqxas7IGUQrNgrRIdDlxXb3g2//OqfrWhF0XE/z8uzpejyWXDkVV/j25tn89NoqCQKw3NtvD/sBDIixFbTWBFqVgQw6b713MaeYoyFSrhaJ0CO54ELb77zzXKuyLOdp7DrOBVBziVyKtw4VyBhRJURjyQQSkKoyhK6zoe2wZBEJG+OxQfTGgigzn04nY20quQoTUdf3XdcBNJpSvjneiErXdYfDxXazU65c8jD043Y8HA596LiWqlAEY226xwzA8NMjYQAAIO2ec3WXh/E7v/11yNWAISoEhRgIEBUQTc61zSc75/vQeWutteNm60PIlUV0GHqQuuaFUYHIeg8oLCWmqIprSrkUVQmdA5Q1LqI15bVJ3leRWHLJySLc3jxjrVpKWhYFcd6GEIwhBWHR7bjxzltrT6djA/0vLy9FpNS62W6tM10XRHieJwCANp7mQ1yW/XZjELiUruvWdQEph8POOIfGrjnHmNc1F0FlWkupqgCEQAAgqJ8rfrhPdef9mQdvW//nJGr8BO0L7wDe1W7/vo35Hw+T+YXtXcd8V3/xB3coyUt/SxUZQUmpgute+7X7v/Xb2XfHaZ7nZzWdJa/IhSo7YQs1aeq3u+/+4Hvf+cHv7q56hjWtU5wnjmWtyypRnF6+9vDywQNRUCBV3O+3jx7eB2VLiAoIcD6fa621sLBO0/ycptiXUkpJPlgAEWVhPp/PqoKIuebrZ9eN87Lk4qwLIQCAiDjvaynMtZQSfADCdV2fPnsaurDf7VQEAStzGx5uv/Ma4zzPXdeJyOXVlXe+VQsAYLfbAUDXdSwc15WIKvOyroBExtRanXVdNyAZZz0hsWqpL8h/4F31zOcPqOGBQCS///vfMVhB2TmvIqoMALXWcDfcK9baJtPpvWvYTa3svO/7nplDUz4AQEARMdZa63LJtVYy1BhG2xDvdrtpo7y1FkDwIQhz+5UVoNYKCkS4rsv5dDqfjnGZ12X13q/r2pQZiCilZK29vb3t+75WTjkP48b74IKvwtaaVisGAFW+vr4ex7EV9td1raXcXN8Iw/0HD33ogOyypjVmRKyVGVpPGrds6ZcS7b4XUH0vEPSLH/Zd9uEtIa+w/Yoqgr3LPg3f/nGP+bIbU1DBYpQIbEVTHI1f+42HUN76p//k2ekWiJpUpAA5IKlFCdy4HYz52raL83Q+TjHJvJzXWJ+dbv6Nv/t3nsXSv/7Vywf3F6mAyCrO+8NhX9OfI7s+9LUUa6wgpJStNa0FEwBZ2BiqzJuuW5YFEY01zjkRORwOz549QyIAGIZhjSsSBtch0rwsp+PREKqqdW5dVkNGSYvo6XRuKoag6owF52qtTd49BL/Zblr7ac45cx1d16qXrajAzNvttpay3N5y1W63EUFVWJa4Dt1+8OO4yaUAWiLz/EVH+ICE7G57AVAp3/ydr73+2uHNJ5PphqollzX0m8rMXPe73e3x6L1v02GbzWZZljYOjYjt8nLO5AwoqAioxmVFQ+u6jsO27/qUEwBM03R5eXlzc9xtd7VWQiopC2AXulpKzmno+3Kezudpf3l5ebiY53VZ5vv37pVar6+vQwgh+ByTdw4Al2UJzueY3GZAoidPnhpnd7tdKaXvh6dPn253oyVq1YjmlVPJQNj57ml88s47jzebzbomFZ5Kjrneu9isKVVW8Ap3ZWBUkM++F+hFn95nbO96Yd91Db+sq/q07QufAXyQY3857n7x+cNTAfikff7L1/bxHUyb2wIEqkjZDYev/vbDb35/weHJ9TxP61rSImmpqWbxbuy2u+FwETbbfrfbX11cXGy3g4vLzTrF//6/+x82m903f+d3LIElVC2AjIT3798nS0hQayHC0AcwZIxFNF03xJhPp3OtlYVVtQ3rrusKoLVW5tp4/BsTTozx/v37XeiYOaVkjTEGg/dXV1fO+VLKNJ1rLV3XdV04nU6tpppTGscx5YyGlrgiUUsm1nXtug4BqkhcIwA05qIGi3Otjb6fRUplRNrtdgDIoufzPE8LkTHGgsALgrMPMVFQlauLzQ++/7tcigHnXEASEQYAZ60ohxBKKc0pppRa1ywRMldmbuPTOabgvaoSUtcFVAjeM9cco7I0jbMYU1zjsi5AaKyZ53meppQSETWBs8PhsNvtTscjEYbgDFFJ2TvX9z2qjsPYdZ2KxnUN3gNAykkBmgLx+XxeluXZs2frulxeHgixzaYdDodpnnLORNR1HQh0oa+Vp2k5nefzNJ+XdY1JVZi1FFVAwDuJYP0MN/+PVcD7OezDG/nfm228fEmfxvV8TuwL7wDe117GWz58532Xz/+ZE2Sfnv3U8RVRrQIpCEHxosiUaNh//Vv3f/s7M5vT9U06PqvrUXgVFRSsCuSC67a+Pwybi812f+/+/qtfefDrrz2kvP6//7N/9L//X/+v/uGf/Mn01uON7a3xBPr6aw+Dd4BgnROEzBUQmZs6fB3HcRxHANjvDgjYwvC2FbYtr+3I1tp5nvu+O51OrVTbMJMuhDZMkEtparddF1S5ljJNU/A+xohIp9Op63tVvby86DpfSo4xWmunaWpKJgbRGWMQt+NYUjKIrIqGWISIgg/GGBElNMu8vvP2OzGmnLKzvtSq8GL2Sz7wVqMBRWfMH/3h3950HlisDdYFEeFacy5tFLkFgC+6g5xzqmKe9w5ZaxCgUTc3zAcARLipmJWcQDWEIMLGmjXG4/HonXfee+u8cwQ49ENTwURDiJRzqiWPfc/M5/N5v99vt9uccxPAsdYaMinFoe/WdQEA5+/AN1XNOR1vb2spfd/3fX8+n1PKVbhRSd/c3gDCZrOptSKaUiWuaZoWVQEwS6rtTrUM4LNsA/q04fWf+Qq/9wJe1eGvl+0LDwG9C2F/+Yfw03v6Bz3Ll7/8Uc74clbx0a/wXad439X20mcANQAiKKRqFAWI0VQyV7/5TY352X///7VYoCTtemd7MYHACjoE4/zG2Y7tYiwoVGv9/bI5XB///M3H/+Wf/Ml/8f/4T7/zb/zRD//4j7/yja8+vLpP0JDfTM5b6ww6qXevSowx52yMBcXQhSWmFoB3XZdSiTGO47b185RSrHPT6eSc4yrOeWaOcSU0x+PRh15qRaLW3Y9EBlHv6I9ARJCw1Np4lb13yxoHM1q1KaWb6+s+dF3ohrF7+vQpAvgQUinee5Bcai4peR+888w1L3OTCAYkALhrzAeAu7Gm9392CACKUvib3/jN3/z6l/+7f/6Wc6Pznisao817jeO2HdlZu8bYxH5VhVlUobXMtsQokBPhOUVRNdYQmRC8NXR7Ond9DwAheOv8uq5EZO9wNrDOlbUMw7jmLMJI1JnOGbsuawhdmZfT6TR0XUrJWFsK55x3u+0w9ESUY3zy5Mlms9lut4fDgWtB1daZ2nq6aq2n06kfhlzq+Tx1IeSc76QC1nWdz33wzlljrSIvawYcQbXJxz0HyX7Gqv4Q++gvy6cUYH34YT86zvNehODVyAy+8A7gE7RPcD7gZftYCwX/elBZ7kZxkFSpdQqpaDWbB9/6Lqs8/Yt/Zp5O41g2Y+1DdsUa4xGdQWtbi4mhyoCVevG7Plx1/QHf+tN/9fY/+D/8b/6j/8v/6Q//3r/93R/+sVZWIWtMirnrvbEGPLYAXJGISEQRyZDteyqlWmuNsSKpET+AQpuTSilZY0vJ964ezNMSusBcVGW73eZc+64vtSBi34Uq0ibLhr4n60QUDTnnLOHxeKzMPnTrunJl7/3hcOBccs5Id/LxLRjPOQuXWthZ2wKAWsrpeEwx5pR1XjZjGy8QVXleA/iA3A647XPbTfijf/Nv/+mf/4lozTGBWB+8cbZWzil56w1aUKy1hhCIiPmOuRoAauXmAACzsWYY+pvjrXUOEda4cmVESCkCQCv0i0jfdWRqLjXG6LeuyeY4a9dUg7WVa8nZGuuc64ce2xhESlvv7907/OStt54+ffLo0SMROZ3P234AheB8XONhf0BSEb65OTU+os1mIwClFAWMKR32e+tdjMla23fBaD3sNl3wQ99rWW6PE8DV8wIA6gfdtb+xV6Uq8Go6gBdxxxcug3tpSdU2ji9gFAlBCcSoiHYx2Ivv/GC49+D0l3+23jxZb4+7Pux8sM6TDUy2ZPIudH70QQfqc5rn+RYGj6/fQ4UM+c+e/Pj/+L/93/3Jf/SPrr76TW+sNcZ0DpAc2QJ35VbrbQjdMq8p5ZRK6Adp7e9A1lrvO2vt+TRVqcMwWGu7cTze3uaSrbM553HT397cBt81Eumu7549farMXd8D4mazAUCunEsha7bbrTN0Op2Ya611v99zrSp6Op2lFGOMdW0qi2qtrSUGAUopCBA6pyq11Gk6i9wJgTWqCQVtFXVt43XvZ4iCQAigWn/vu9+6f+8/efu4iLJzIeVirUXAWhkUY0zOWe99jNF7/+JJWWtC8DEmBLDWnqfz4WLvnEWE1kOlBgfb51oaDiHCAHo8HkM/tI7+uMacE5AZtztCzLX0m0G4guqyzIqUYtpuN6WUZ0+fiuq4HW+ur29ubrbb7f0H90tlJMwpp5xEuOvdl9/4Eqh98803r64uECmlHFMaxs0wjMba58RB62bsHcrQd5txKCVbpPN5LswWQfWniudfUPtY4f+vpv3/AQdbt9VQ3gV0AAAAAElFTkSuQmCC\n" + }, + "metadata": {}, + "execution_count": 14 + } + ], + "source": [ + "image = control_net_dataset['image'][0]\n", + "image" + ] }, { "cell_type": "markdown", - "source": [ - "**Training a dataset for Control Net dataset**" - ], "metadata": { - "id": "vvsoYZdIZoj-" - } + "id": "NY64HtXa3xgz" + }, + "source": [ + "**Structuring the dataset for Pytorch model train**" + ] }, { "cell_type": "code", + "execution_count": 15, + "metadata": { + "id": "3LEmVCwdrC_Q" + }, + "outputs": [], "source": [ - "model, information = train_model(control_net_train_dataloader, num_epochs=1)" - ], + "import torch\n", + "\n", + "# creating the dataset structure and model train based in\n", + "# https://github.com/dino-chiio/blip-vqa-finetune/blob/main/finetuning.py\n", + "\n", + "class GenericFashionDataset(torch.utils.data.Dataset):\n", + " \"\"\"VQA (v2) dataset.\"\"\"\n", + "\n", + " def __init__(self, dataset, processor):\n", + " self.dataset = dataset\n", + " self.processor = processor\n", + "\n", + " def __len__(self):\n", + " return len(self.dataset)\n", + "\n", + " def __getitem__(self, idx):\n", + " question = self.dataset['questions'][idx]\n", + " answer = self.dataset['answers'][idx]\n", + " image_id = self.dataset['input_ids'][idx]\n", + " try:\n", + " image = self.dataset['images'][idx]\n", + " except:\n", + " image = self.dataset['image'][idx]\n", + " text = question\n", + "\n", + " encoding = self.processor(image, text, padding=\"max_length\", truncation=True, return_tensors=\"pt\")\n", + " labels = self.processor.tokenizer.encode(\n", + " answer, max_length= 8, pad_to_max_length=True, return_tensors='pt'\n", + " )\n", + " encoding[\"labels\"] = labels\n", + "\n", + " for k,v in encoding.items(): encoding[k] = v.squeeze()\n", + " return encoding" + ] + }, + { + "cell_type": "code", + "execution_count": 16, "metadata": { - "id": "gNuRYjwyZr40" + "colab": { + "base_uri": "https://localhost:8080/", + "height": 177, + "referenced_widgets": [ + "86e1e7326efd48ccb7cbdfd98887f6f4", + "4a6195e12cd44110ba174596eb5979f2", + "afefd16a06c949f5b210a35b6ea6829f", + "e1a938cb60d241aa877724b16db490bc", + "fc61ff30b3894b2bb4620f6e2fee067e", + "89f9b7c6b1f44dd78abbf26b54a60bb7", + "895d18d95303401e925e1062233dbbdd", + "8edb7a8b4729464a8245a482c180faf4", + "ef536b24d9c349c48021d21407555b89", + "df4116b0d98e4326b7025560d629efee", + "6262d5c70b2c42bf94b3e7886e5922ed", + "b1958867da2e47a4bb5150a618e139fe", + "a443f766cc4547e4bb309941d346765c", + "95e01d26e4f149f796c2ebbf3a5195c3", + "f38e54bf09604e5188ababf9199a7c3f", + "0520f769c76645e98572235e2a2a721a", + "353c35f5927c43b99044649a5b9db066", + "b18a9978ab1f43f2a15b6037a9cb7d0a", + "457fd27e6efe4ab7a8ea0a9b9b9e9b15", + "f13ad719c37241dcb762ce6cf760b8b2", + "9a002ff533724e60a1a80c254200d250", + "6343ca27f6e34f40b9190cb6d5b1e98f", + "f973e32eba2c4be6a733a7c52f1f9257", + "bafbf372926c46919b22219dce6840a3", + "0348847163ce4d61aa4fd81cace32a80", + "025ee188a3804ef48ed06359a70a1417", + "29694e10da3f4657b794bd15aa627ea0", + "c7fa3d3a9e0d46aab63c29fe345787e3", + "86e0c58b9a144136bf0dc7a3033dd63f", + "9113a062618c4725bb6e46d6a6914471", + "a0513339a2ca48418be20aaddebb79d2", + "f95d1ca3a1ab4810a8907243d48284ec", + "13fe611f56ce4b5aac814f9d75ec4704", + "df3b44d7cfa94953ab8b4420ee16b8f4", + "5bb6880d895e463d9dbcfe82ff0934ab", + "ab5c06ed146548eea4c8da95bc2440cb", + "38acff41f75544c7aec75fe5a647b455", + "d12843ac262d4392b04aafa5f7b01451", + "5c23cf02ebeb44219b7e2cc7bfdff8df", + "69c3345321e24941a64e123bae4afba4", + "3164c3bb190344d9800882ac34c849b6", + "8d824c0358e74bfaa400c09ea41560c6", + "0044417e764d4bed8c74782d34425840", + "3e6daf51681a42efb80f1becec68496e", + "9945519b3205481088a47b4fc41d6ffc", + "2ea43883d1134c0296292147e46b4481", + "128b0807b0f446be93da373262f3365e", + "6dca86ba814344b683675c41b5754269", + "ba80c68a678b47fda7d190f2d156ff5b", + "3423de29c6064aa2aa92370e3aa53dc0", + "7fb3d2c03d244561b2d66cce9847db82", + "982a1b8f716b4d008b6b2b6f00fa4d61", + "452ae48d665b44cca1edb440e3513142", + "2f1a68fdb79049269aacd67da7fde548", + "283b7bac78a848fbb337270861ea77b8" + ] + }, + "id": "W5TsVoqSQFPJ", + "outputId": "52da722b-617f-4d4a-9d46-ed4b428dbad5" }, - "execution_count": null, - "outputs": [] + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "preprocessor_config.json: 0%| | 0.00/445 [00:00
Copy a token from your Hugging Face\ntokens page and paste it below.
Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file. " + } + }, + "e2b19401b1fd46c69541b6c2bbd0bbcd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "PasswordModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "PasswordModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "PasswordView", + "continuous_update": true, + "description": "Token:", + "description_tooltip": null, + "disabled": false, + "layout": "IPY_MODEL_86cfa8b228c640cc84dbe4f3bbc24494", + "placeholder": "​", + "style": "IPY_MODEL_ee5f2e50b9e04daa90f7fd300ff8ec39", + "value": "" + } + }, + "6694244d56134bda9b11666bfc928fc1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "CheckboxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "CheckboxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "CheckboxView", + "description": "Add token as git credential?", + "description_tooltip": null, + "disabled": false, + "indent": true, + "layout": "IPY_MODEL_a291663e372a4b82b54844f87ceace4e", + "style": "IPY_MODEL_a55afb5ec44c46f1b3a1a8a25d899b1f", + "value": true + } + }, + "6e691c4e6e3e49d1a6c9a77ad5618fd5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ButtonModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ButtonModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ButtonView", + "button_style": "", + "description": "Login", + "disabled": false, + "icon": "", + "layout": "IPY_MODEL_5198876efbc141d59c7be7a12586e9ff", + "style": "IPY_MODEL_c81130626e36433ebf932fe5d3154e94", + "tooltip": "" + } + }, + "738872e9e7bd425a97a95febadf988f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ecd17ce3f7484e6dbb1e24f1fc1cf67e", + "placeholder": "​", + "style": "IPY_MODEL_854da05b2fa54695883283706cb644f8", + "value": "\nPro Tip: If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks. " + } + }, + "9d39d78aafea4ac1a40f484936ef5442": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": "center", + "align_self": null, + "border": null, + "bottom": null, + "display": "flex", + "flex": null, + "flex_flow": "column", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "50%" + } + }, + "cdaab7162ca04b6d9ea084b564ebbfd8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "31caa37206c74e67b01efb1fc03cb863": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "86cfa8b228c640cc84dbe4f3bbc24494": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ee5f2e50b9e04daa90f7fd300ff8ec39": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a291663e372a4b82b54844f87ceace4e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a55afb5ec44c46f1b3a1a8a25d899b1f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5198876efbc141d59c7be7a12586e9ff": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c81130626e36433ebf932fe5d3154e94": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ButtonStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ButtonStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "button_color": null, + "font_weight": "" + } + }, + "ecd17ce3f7484e6dbb1e24f1fc1cf67e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "854da05b2fa54695883283706cb644f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b80c3944cd3e46829f44ffe7f4d58588": { + "model_module": "@jupyter-widgets/controls", + "model_name": "LabelModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "LabelModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "LabelView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_dad259549eea44ecbe7369c37f1a7031", + "placeholder": "​", + "style": "IPY_MODEL_feb30497556b425990e25230c348ad18", + "value": "Connecting..." + } + }, + "dad259549eea44ecbe7369c37f1a7031": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "feb30497556b425990e25230c348ad18": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8d6e1593642a4d52b87efa7f91d30f87": { + "model_module": "@jupyter-widgets/controls", + "model_name": "LabelModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "LabelModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "LabelView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e424eeacab2b4ac594fd93f4781304f3", + "placeholder": "​", + "style": "IPY_MODEL_c1012aa127db4120b67982a778b3a578", + "value": "Token is valid (permission: write)." + } + }, + "0d1f5d4830924c6b89f8f3053db8f741": { + "model_module": "@jupyter-widgets/controls", + "model_name": "LabelModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "LabelModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "LabelView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_12dabf43176d446cad9600b8b7ee57d3", + "placeholder": "​", + "style": "IPY_MODEL_ed06a4f455804f07b8f6e0a555b8c870", + "value": "Your token has been saved in your configured git credential helpers (store)." + } + }, + "03bd1864f2424b7d87af47f860a326ea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "LabelModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "LabelModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "LabelView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e12cd4d4b0b04bc3953ed64be79eea64", + "placeholder": "​", + "style": "IPY_MODEL_742c9092a9bd41ddae7a1a3731f16326", + "value": "Your token has been saved to /root/.cache/huggingface/token" + } + }, + "e213cbf8d23642e78ccb1a0a3b5a972b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "LabelModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "LabelModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "LabelView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_dd7184de04584c3b957c27ab28cb1fba", + "placeholder": "​", + "style": "IPY_MODEL_fe4069dfddda4855aeed2eda68c7bdbc", + "value": "Login successful" + } + }, + "e424eeacab2b4ac594fd93f4781304f3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c1012aa127db4120b67982a778b3a578": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "12dabf43176d446cad9600b8b7ee57d3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ed06a4f455804f07b8f6e0a555b8c870": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e12cd4d4b0b04bc3953ed64be79eea64": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "742c9092a9bd41ddae7a1a3731f16326": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "dd7184de04584c3b957c27ab28cb1fba": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "fe4069dfddda4855aeed2eda68c7bdbc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "17d95110d5c7428f8c313c35a745ca9f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_e6f852ac50dd4447b76a8a77597f52a2", + "IPY_MODEL_d3a0f3988b044955b2bec42ae4a1cea9", + "IPY_MODEL_0c723610bbc54a90b9860a986195b0e2" + ], + "layout": "IPY_MODEL_4e1387f410bf44cd89862802fcfcef09" + } + }, + "e6f852ac50dd4447b76a8a77597f52a2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_910d827f2a17461682a65fbd554cdce9", + "placeholder": "​", + "style": "IPY_MODEL_7554bbd531254725b161a998a2808fc6", + "value": "Downloading readme: 100%" + } + }, + "d3a0f3988b044955b2bec42ae4a1cea9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d626939b68d44f4c9227a064ee1c816f", + "max": 836, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_ee9e878c573f4e83b2cb3bbf510be339", + "value": 836 + } + }, + "0c723610bbc54a90b9860a986195b0e2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_671fc943a3844918862529de94f3449f", + "placeholder": "​", + "style": "IPY_MODEL_2f27f8d2e9574c31a18337bebe7c46f9", + "value": " 836/836 [00:00<00:00, 25.8kB/s]" + } + }, + "4e1387f410bf44cd89862802fcfcef09": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "910d827f2a17461682a65fbd554cdce9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7554bbd531254725b161a998a2808fc6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d626939b68d44f4c9227a064ee1c816f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ee9e878c573f4e83b2cb3bbf510be339": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "671fc943a3844918862529de94f3449f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2f27f8d2e9574c31a18337bebe7c46f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4346adbc353249e1b8e5ffd6034a2466": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_62e97f8016e24d17898f136cb15a8e9e", + "IPY_MODEL_78c0b955836f474eb4089111f8ce4943", + "IPY_MODEL_73249c5a5c8140b8a37cd53aecdb85b8" + ], + "layout": "IPY_MODEL_ffc9130162c2450f8d2d51a7027a853f" + } + }, + "62e97f8016e24d17898f136cb15a8e9e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5ec533b773e8485aa65d1cdf8f15af66", + "placeholder": "​", + "style": "IPY_MODEL_7b3db0fb96db45459f24dff6537ae720", + "value": "Downloading data: 100%" + } + }, + "78c0b955836f474eb4089111f8ce4943": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c836e6b6d4c5442abded99869032c695", + "max": 363307975, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_30f1e4baa51945bdb4ed416d45992fc0", + "value": 363307975 + } + }, + "73249c5a5c8140b8a37cd53aecdb85b8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a377e4d884354b00bb93cc86445e53f5", + "placeholder": "​", + "style": "IPY_MODEL_8c48da0118b848408d6bdc4b83c52ef1", + "value": " 363M/363M [00:28<00:00, 16.9MB/s]" + } + }, + "ffc9130162c2450f8d2d51a7027a853f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5ec533b773e8485aa65d1cdf8f15af66": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7b3db0fb96db45459f24dff6537ae720": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c836e6b6d4c5442abded99869032c695": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "30f1e4baa51945bdb4ed416d45992fc0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a377e4d884354b00bb93cc86445e53f5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8c48da0118b848408d6bdc4b83c52ef1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b5f72732280144398e51c026e72167b9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_676ed342e28e46a6b8aeb608122a0864", + "IPY_MODEL_2978be0b4f5a4dbca1e3ff8bb5acc7f4", + "IPY_MODEL_aefa8441829541a0bca53c02575c4063" + ], + "layout": "IPY_MODEL_ad347f4561e84591b7354cd7652ae977" + } + }, + "676ed342e28e46a6b8aeb608122a0864": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_db8c90ac040c4168b724b17d0a47e090", + "placeholder": "​", + "style": "IPY_MODEL_6c8f9673ee854452bee540ac2d6f3d70", + "value": "Downloading data: 100%" + } + }, + "2978be0b4f5a4dbca1e3ff8bb5acc7f4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0e86f283d03049cf83b2cce73ccdd445", + "max": 364001799, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e9f2335fc3b64158bec2340f6db5ba71", + "value": 364001799 + } + }, + "aefa8441829541a0bca53c02575c4063": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4c7fc5389edb4ca6ad45cd74f0d69a9d", + "placeholder": "​", + "style": "IPY_MODEL_238e1583f11d45f1ad8e887ad74592e8", + "value": " 364M/364M [00:29<00:00, 12.8MB/s]" + } + }, + "ad347f4561e84591b7354cd7652ae977": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "db8c90ac040c4168b724b17d0a47e090": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6c8f9673ee854452bee540ac2d6f3d70": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0e86f283d03049cf83b2cce73ccdd445": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e9f2335fc3b64158bec2340f6db5ba71": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "4c7fc5389edb4ca6ad45cd74f0d69a9d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "238e1583f11d45f1ad8e887ad74592e8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "cebcf824243e41f89b08b9ca7f9a9b80": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_775428ff979a407ca5b7e531c4f76e4b", + "IPY_MODEL_ab171201072047a9a51e9614290c632d", + "IPY_MODEL_6fd75e649ab349ea81bcd06ae19b498c" + ], + "layout": "IPY_MODEL_3d31100e28814a85a0064e47d71f46b5" + } + }, + "775428ff979a407ca5b7e531c4f76e4b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4f798d2011aa48bbbd8baea66a0a7324", + "placeholder": "​", + "style": "IPY_MODEL_ca7bee801f98418b8fd9a341c86ec827", + "value": "Downloading data: 100%" + } + }, + "ab171201072047a9a51e9614290c632d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2ddec9b673dd491b8caa7771572b0aa5", + "max": 360693691, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_06cb1f3c43194432a67fe7a776ea61e5", + "value": 360693691 + } + }, + "6fd75e649ab349ea81bcd06ae19b498c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_831f472d84074c3aaae5795200f2a6fd", + "placeholder": "​", + "style": "IPY_MODEL_780d592892be42a98e8fac8969b10e50", + "value": " 361M/361M [00:27<00:00, 17.6MB/s]" + } + }, + "3d31100e28814a85a0064e47d71f46b5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4f798d2011aa48bbbd8baea66a0a7324": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ca7bee801f98418b8fd9a341c86ec827": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2ddec9b673dd491b8caa7771572b0aa5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "06cb1f3c43194432a67fe7a776ea61e5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "831f472d84074c3aaae5795200f2a6fd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "780d592892be42a98e8fac8969b10e50": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f9246527c5a944cfac9c24dc49ffcdce": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_4fcc69428b744da1ad65ac4b8d9b9fa6", + "IPY_MODEL_ba91827192e248bd960a95df351b4c8b", + "IPY_MODEL_845ef2d168534ad696706a86f5517909" + ], + "layout": "IPY_MODEL_e639959f2e17449a80781a02b8e1eeb2" + } + }, + "4fcc69428b744da1ad65ac4b8d9b9fa6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_890b037344aa43ff9c19794c4933e8e8", + "placeholder": "​", + "style": "IPY_MODEL_4b9339904a484a41804a995331c5b557", + "value": "Downloading data: 100%" + } + }, + "ba91827192e248bd960a95df351b4c8b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f2d8a34f259c481e901c23b2e26d8208", + "max": 361377153, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b7ac55efff1642f6a62931f8d4f1cb59", + "value": 361377153 + } + }, + "845ef2d168534ad696706a86f5517909": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_078bbca5ce0b455bb35ab586c03fc9aa", + "placeholder": "​", + "style": "IPY_MODEL_84fb6c2d4c0249f88dac46bbf4406e37", + "value": " 361M/361M [00:26<00:00, 16.4MB/s]" + } + }, + "e639959f2e17449a80781a02b8e1eeb2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "890b037344aa43ff9c19794c4933e8e8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4b9339904a484a41804a995331c5b557": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f2d8a34f259c481e901c23b2e26d8208": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b7ac55efff1642f6a62931f8d4f1cb59": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "078bbca5ce0b455bb35ab586c03fc9aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "84fb6c2d4c0249f88dac46bbf4406e37": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "44b26a7621184018a7c6e0d414da6781": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_28432286efc04ad983dcaf721620f5e5", + "IPY_MODEL_985b6b67a656414399942217f68a79e9", + "IPY_MODEL_a794ed68c2cb481288fd347631a04235" + ], + "layout": "IPY_MODEL_4c0151ae67a94f34b3838e52cd330a37" + } + }, + "28432286efc04ad983dcaf721620f5e5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_67d76aadcc944d509ad7ca387d883703", + "placeholder": "​", + "style": "IPY_MODEL_036dc3e962404841ac9bcbbf4aa482d9", + "value": "Generating train split: 100%" + } + }, + "985b6b67a656414399942217f68a79e9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_aa892319011f41c998941d28da8cfa5c", + "max": 40658, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_456e97e829304493b108d808a944610f", + "value": 40658 + } + }, + "a794ed68c2cb481288fd347631a04235": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fc55477218e641ef80f5b4f249930b14", + "placeholder": "​", + "style": "IPY_MODEL_8e30e69522e047f8a262e9fe18a882df", + "value": " 40658/40658 [00:15<00:00, 2201.67 examples/s]" + } + }, + "4c0151ae67a94f34b3838e52cd330a37": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "67d76aadcc944d509ad7ca387d883703": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "036dc3e962404841ac9bcbbf4aa482d9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "aa892319011f41c998941d28da8cfa5c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "456e97e829304493b108d808a944610f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "fc55477218e641ef80f5b4f249930b14": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8e30e69522e047f8a262e9fe18a882df": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6ae0ba883c534289b2621ccaf18ecde8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_2758f5c23b61424290b340b0988e0861", + "IPY_MODEL_346a3900a954491dbe6edbac58bae92e", + "IPY_MODEL_f815d55e51f74084ae57239b428e7975" + ], + "layout": "IPY_MODEL_c4d780048f244947b11486af7c90b371" + } + }, + "2758f5c23b61424290b340b0988e0861": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_256130c0ed9540f0b7105f02c0bd3bce", + "placeholder": "​", + "style": "IPY_MODEL_3f565a1b1f3a40e2a066cb63a3aef5bc", + "value": "Downloading readme: 100%" + } + }, + "346a3900a954491dbe6edbac58bae92e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_640f9f60b3a14b0085a9433b2907d67b", + "max": 556, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_614600b8429548518c7f70faf362a1d5", + "value": 556 + } + }, + "f815d55e51f74084ae57239b428e7975": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ea8a70a5648a47579e5b334f7ce97d70", + "placeholder": "​", + "style": "IPY_MODEL_dd41503fbdcb46aa914350a28d708926", + "value": " 556/556 [00:00<00:00, 26.8kB/s]" + } + }, + "c4d780048f244947b11486af7c90b371": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "256130c0ed9540f0b7105f02c0bd3bce": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3f565a1b1f3a40e2a066cb63a3aef5bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "640f9f60b3a14b0085a9433b2907d67b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "614600b8429548518c7f70faf362a1d5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "ea8a70a5648a47579e5b334f7ce97d70": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "dd41503fbdcb46aa914350a28d708926": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "96b2ced622d3415fa81a1229499e18f0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_1a9dbbc6a08149f5b9aabe1466ff34ef", + "IPY_MODEL_ebd20d51dfff413095d6b4f961a18718", + "IPY_MODEL_5ae7ef3f0d71428ebe5801af946264f8" + ], + "layout": "IPY_MODEL_2547badff8294c0a90b17b150a50b6b2" + } + }, + "1a9dbbc6a08149f5b9aabe1466ff34ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3ac9049312454993b3e28326771b7687", + "placeholder": "​", + "style": "IPY_MODEL_271c48b361bf4a7193a11209d3e8c79b", + "value": "Downloading data: 100%" + } + }, + "ebd20d51dfff413095d6b4f961a18718": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9a5b686878c94dd489c1ff1d949c2013", + "max": 471046540, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_3a0185b465344b3db779caad855cc04b", + "value": 471046540 + } + }, + "5ae7ef3f0d71428ebe5801af946264f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_20778672e0c54a59addadbb16e1dbeef", + "placeholder": "​", + "style": "IPY_MODEL_33348cfbf3804c7f992d0b6a6b9ff858", + "value": " 471M/471M [00:35<00:00, 12.1MB/s]" + } + }, + "2547badff8294c0a90b17b150a50b6b2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3ac9049312454993b3e28326771b7687": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "271c48b361bf4a7193a11209d3e8c79b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "9a5b686878c94dd489c1ff1d949c2013": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3a0185b465344b3db779caad855cc04b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "20778672e0c54a59addadbb16e1dbeef": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "33348cfbf3804c7f992d0b6a6b9ff858": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3d80eaaf028d4e3c8516617648894d3e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_4b307befaf24493a8be5092eb11238e9", + "IPY_MODEL_fd3996546c324c41ab1ecc9cdd84ad4c", + "IPY_MODEL_d8f3823709854b9e9f934f5fe9ece1c7" + ], + "layout": "IPY_MODEL_6f1d659fecbc4ca5a2567affc5afd1dc" + } + }, + "4b307befaf24493a8be5092eb11238e9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_37c1d53a84ba43c2a93afd7c817e929e", + "placeholder": "​", + "style": "IPY_MODEL_581daec404014aa69746f14692ce6fbf", + "value": "Downloading data: 100%" + } + }, + "fd3996546c324c41ab1ecc9cdd84ad4c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7bdd2f4e65dd4e32856c573c6ca2da05", + "max": 472263834, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_70a9ed4fa4554acba5f57ebe29699992", + "value": 472263834 + } + }, + "d8f3823709854b9e9f934f5fe9ece1c7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_99d72d4281854521bc091d397d6f4b1c", + "placeholder": "​", + "style": "IPY_MODEL_2a1f470487b1466e91328204d99f1ccd", + "value": " 472M/472M [00:34<00:00, 13.4MB/s]" + } + }, + "6f1d659fecbc4ca5a2567affc5afd1dc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "37c1d53a84ba43c2a93afd7c817e929e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "581daec404014aa69746f14692ce6fbf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7bdd2f4e65dd4e32856c573c6ca2da05": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "70a9ed4fa4554acba5f57ebe29699992": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "99d72d4281854521bc091d397d6f4b1c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2a1f470487b1466e91328204d99f1ccd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "31c444043ba84feba82eb3ed8382a0dc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7be72a1655ea4d568392586ecb55d497", + "IPY_MODEL_ef4ea38ccb3f47cfbe5d01f3ff7492d4", + "IPY_MODEL_5b294147105d4778af950a0fa1329f12" + ], + "layout": "IPY_MODEL_5768873c4bf346f0b18c91944167aa26" + } + }, + "7be72a1655ea4d568392586ecb55d497": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d39b31d20c964a60a95685dc8813cc44", + "placeholder": "​", + "style": "IPY_MODEL_7366760310e7441783c50b259dc91fa3", + "value": "Downloading data: 100%" + } + }, + "ef4ea38ccb3f47cfbe5d01f3ff7492d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_81c2f304cead4a43a009e9394495895f", + "max": 472246338, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_04fddf3ddfa6438faa9425591e43e036", + "value": 472246338 + } + }, + "5b294147105d4778af950a0fa1329f12": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_dadb8281c3d34b44ac5a54c7f7d410b0", + "placeholder": "​", + "style": "IPY_MODEL_6eeb6b5df5dc4509993ee3963b5cd030", + "value": " 472M/472M [00:35<00:00, 18.0MB/s]" + } + }, + "5768873c4bf346f0b18c91944167aa26": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d39b31d20c964a60a95685dc8813cc44": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7366760310e7441783c50b259dc91fa3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "81c2f304cead4a43a009e9394495895f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "04fddf3ddfa6438faa9425591e43e036": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "dadb8281c3d34b44ac5a54c7f7d410b0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6eeb6b5df5dc4509993ee3963b5cd030": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3452f48e8017416da45f079016686db9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_1a4701d503914d688c425de45e02a8a9", + "IPY_MODEL_26970555a1214ac5b1cb01ef38cc9863", + "IPY_MODEL_22503afd5bb347c89bc0aaa65ec795f7" + ], + "layout": "IPY_MODEL_33eb5c4b3a5f4f82a3ee82270e461a1b" + } + }, + "1a4701d503914d688c425de45e02a8a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5fcd41afed2748d0b574b6c9c8bae006", + "placeholder": "​", + "style": "IPY_MODEL_f0e87128c81940c4ad6af77f1fca2e24", + "value": "Downloading data: 100%" + } + }, + "26970555a1214ac5b1cb01ef38cc9863": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_caed02d1e25f4fff96f33f5e6fb959c4", + "max": 469428405, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_f83b3e4380a34550a6317f7bc7109ceb", + "value": 469428405 + } + }, + "22503afd5bb347c89bc0aaa65ec795f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a408935abf6342bcab4dc598654fce4b", + "placeholder": "​", + "style": "IPY_MODEL_2ac5f27165374bfb897d7c01536b3e97", + "value": " 469M/469M [00:32<00:00, 12.8MB/s]" + } + }, + "33eb5c4b3a5f4f82a3ee82270e461a1b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5fcd41afed2748d0b574b6c9c8bae006": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f0e87128c81940c4ad6af77f1fca2e24": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "caed02d1e25f4fff96f33f5e6fb959c4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f83b3e4380a34550a6317f7bc7109ceb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a408935abf6342bcab4dc598654fce4b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2ac5f27165374bfb897d7c01536b3e97": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "73ed3accf81a41448a22574df7e509af": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_4a26ff711bfe4350bdb0e7a7a7e8c237", + "IPY_MODEL_7c2aadba403f418da799ec19b2bba19e", + "IPY_MODEL_97af805c29a04ce7a42c14fbcbec7c07" + ], + "layout": "IPY_MODEL_ec754e37a4b94ae4aec05d23a971c7e6" + } + }, + "4a26ff711bfe4350bdb0e7a7a7e8c237": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4cdbccb055654827a032bf8ae6001ece", + "placeholder": "​", + "style": "IPY_MODEL_3168b30cb8444f8c9e5881fec07ff116", + "value": "Downloading data: 100%" + } + }, + "7c2aadba403f418da799ec19b2bba19e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5d25649d296847edbb1d8560a6cd5eb0", + "max": 464993975, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_957ac54f1fca43fd9f7e155784adf571", + "value": 464993975 + } + }, + "97af805c29a04ce7a42c14fbcbec7c07": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_684688aaf3e945888f54b88689446beb", + "placeholder": "​", + "style": "IPY_MODEL_19b382adae6c4e5ea894315ea1afdb0b", + "value": " 465M/465M [00:35<00:00, 9.80MB/s]" + } + }, + "ec754e37a4b94ae4aec05d23a971c7e6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4cdbccb055654827a032bf8ae6001ece": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3168b30cb8444f8c9e5881fec07ff116": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5d25649d296847edbb1d8560a6cd5eb0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "957ac54f1fca43fd9f7e155784adf571": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "684688aaf3e945888f54b88689446beb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "19b382adae6c4e5ea894315ea1afdb0b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "513a04f69cfa4b2c9fac24ab4ca06366": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_55e994da69ef481ea5089f428f8a6d81", + "IPY_MODEL_55bedc0ddec142ac875507d97cbff7b6", + "IPY_MODEL_f3ebe1bed69149b88326170a1317e9bb" + ], + "layout": "IPY_MODEL_0cf1b245238e4b94a2e75926fcd25ec5" + } + }, + "55e994da69ef481ea5089f428f8a6d81": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2eaf744253c74e749e85681255f0a617", + "placeholder": "​", + "style": "IPY_MODEL_080c0b5da68d49f29f38bbead2ba1995", + "value": "Downloading data: 100%" + } + }, + "55bedc0ddec142ac875507d97cbff7b6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7739b200443f414ba14672a2b4033afd", + "max": 470814042, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_92ad299e161541f1aa40d396d5c6774c", + "value": 470814042 + } + }, + "f3ebe1bed69149b88326170a1317e9bb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_916e478ba7ce430eabea6e0d64f2dce1", + "placeholder": "​", + "style": "IPY_MODEL_9f7bbe93cae64d7c855902a92c4488dc", + "value": " 471M/471M [00:35<00:00, 14.1MB/s]" + } + }, + "0cf1b245238e4b94a2e75926fcd25ec5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2eaf744253c74e749e85681255f0a617": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "080c0b5da68d49f29f38bbead2ba1995": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7739b200443f414ba14672a2b4033afd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "92ad299e161541f1aa40d396d5c6774c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "916e478ba7ce430eabea6e0d64f2dce1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9f7bbe93cae64d7c855902a92c4488dc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3ac01bcd448d487abe3203def69072c2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_cdc86a65f7d04135b617ed92adcd6c68", + "IPY_MODEL_6a9c3fffe9af472c8ce4d7da3058eff9", + "IPY_MODEL_fea1a6ac6e184e5980d08d8e383baf73" + ], + "layout": "IPY_MODEL_b80844ec602c46359c96a036d633cebf" + } + }, + "cdc86a65f7d04135b617ed92adcd6c68": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_02ac56f489704dcca274a67d5c628357", + "placeholder": "​", + "style": "IPY_MODEL_a5aff38b7e6046f2898563fe8f5243d0", + "value": "Downloading data: 100%" + } + }, + "6a9c3fffe9af472c8ce4d7da3058eff9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_af4e2edf8f8e4db38460eca2fff4edb7", + "max": 471484157, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_842b2541d96147a0846826997df23750", + "value": 471484157 + } + }, + "fea1a6ac6e184e5980d08d8e383baf73": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fafdf1d1f54541bcbcafce8af372079a", + "placeholder": "​", + "style": "IPY_MODEL_308e492c01ef4dbe807eb71cf67f6180", + "value": " 471M/471M [00:33<00:00, 15.0MB/s]" + } + }, + "b80844ec602c46359c96a036d633cebf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "02ac56f489704dcca274a67d5c628357": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a5aff38b7e6046f2898563fe8f5243d0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "af4e2edf8f8e4db38460eca2fff4edb7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "842b2541d96147a0846826997df23750": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "fafdf1d1f54541bcbcafce8af372079a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "308e492c01ef4dbe807eb71cf67f6180": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8528b21bf6144ec2ae16fe690e9e23c9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_206ec2dfea3c4d7987f299a353bfec0c", + "IPY_MODEL_2493d78eab0146609b4f158a1c18ef5b", + "IPY_MODEL_ef7dc97e6602421aaa329f6ed31a46f6" + ], + "layout": "IPY_MODEL_415727c6fa40429bb1eaa0020a6ac158" + } + }, + "206ec2dfea3c4d7987f299a353bfec0c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_86e220fec24c4b43b6da55699736f48f", + "placeholder": "​", + "style": "IPY_MODEL_110a961262504e918997830d4903777c", + "value": "Downloading data: 100%" + } + }, + "2493d78eab0146609b4f158a1c18ef5b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_186adc682ac0489c97b4d6c009bb8f2a", + "max": 472096123, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b9ab13ecadc147dd8e8e0e44c4d54a5e", + "value": 472096123 + } + }, + "ef7dc97e6602421aaa329f6ed31a46f6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_67aa48c287414a89b47cbd4ec53eeba3", + "placeholder": "​", + "style": "IPY_MODEL_0da79b1381e64d48bbd07af2339f823c", + "value": " 472M/472M [00:32<00:00, 15.3MB/s]" + } + }, + "415727c6fa40429bb1eaa0020a6ac158": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "86e220fec24c4b43b6da55699736f48f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "110a961262504e918997830d4903777c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "186adc682ac0489c97b4d6c009bb8f2a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b9ab13ecadc147dd8e8e0e44c4d54a5e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "67aa48c287414a89b47cbd4ec53eeba3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0da79b1381e64d48bbd07af2339f823c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "18733564380d4767a5db5c446f5ad976": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_2a537197f70b4d45a820443ec3998233", + "IPY_MODEL_3037454546bd4721a44a8e95984902cd", + "IPY_MODEL_af82d3b22b154291988c08a45b6c860a" + ], + "layout": "IPY_MODEL_66d7dfa18c9046c88faa7957f1490433" + } + }, + "2a537197f70b4d45a820443ec3998233": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f6d5f447915743d5a0c7e3da10bcf494", + "placeholder": "​", + "style": "IPY_MODEL_3581226a86e54c7bbe0952c19e4a7a6a", + "value": "Downloading data: 100%" + } + }, + "3037454546bd4721a44a8e95984902cd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bad62b8ce0064d55969105120ef406d4", + "max": 2126243, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_f8cd8c4638394254802c8521eb53825c", + "value": 2126243 + } + }, + "af82d3b22b154291988c08a45b6c860a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9e1a860e9fba431c92bd73bceeba4897", + "placeholder": "​", + "style": "IPY_MODEL_45b1e8b8fdcf489384e0a47c9bf9e2d5", + "value": " 2.13M/2.13M [00:00<00:00, 5.41MB/s]" + } + }, + "66d7dfa18c9046c88faa7957f1490433": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f6d5f447915743d5a0c7e3da10bcf494": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3581226a86e54c7bbe0952c19e4a7a6a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bad62b8ce0064d55969105120ef406d4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f8cd8c4638394254802c8521eb53825c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "9e1a860e9fba431c92bd73bceeba4897": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "45b1e8b8fdcf489384e0a47c9bf9e2d5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c863b8d951dc49c5a8e539d54b0c20ae": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_452ddf5f42b6410db0af1d10487e20bc", + "IPY_MODEL_eefe4ad4690e4c5e81f7ecdbca58193c", + "IPY_MODEL_143d919b1e784003a6ec651b1e9e59f8" + ], + "layout": "IPY_MODEL_c1a4134fd4b5475d8e4cf074c3ad043a" + } + }, + "452ddf5f42b6410db0af1d10487e20bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9449fc9fefdd4f0f9ee187fb4654d478", + "placeholder": "​", + "style": "IPY_MODEL_4943325350af4285a1eb1a49cd68cf5a", + "value": "Generating train split: 100%" + } + }, + "eefe4ad4690e4c5e81f7ecdbca58193c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_93ebbba469ac4b14a944f4cee9811a74", + "max": 13670, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_2ebde837378e4b699bdf6acee7dccf68", + "value": 13670 + } + }, + "143d919b1e784003a6ec651b1e9e59f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6c74debfcece4a639e63c4ec325023fb", + "placeholder": "​", + "style": "IPY_MODEL_9b26bc21e5944dd6a900cfa0e3f1bddc", + "value": " 13670/13670 [00:33<00:00, 394.77 examples/s]" + } + }, + "c1a4134fd4b5475d8e4cf074c3ad043a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9449fc9fefdd4f0f9ee187fb4654d478": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4943325350af4285a1eb1a49cd68cf5a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "93ebbba469ac4b14a944f4cee9811a74": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2ebde837378e4b699bdf6acee7dccf68": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "6c74debfcece4a639e63c4ec325023fb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9b26bc21e5944dd6a900cfa0e3f1bddc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c29864f3e6e5474d9df7cc61dfe1169f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3795fc194aa24c5dad2d4307ced31b01", + "IPY_MODEL_c3aa583984054cc8ada381f951ec1dbe", + "IPY_MODEL_0a4a9d3446fb4eaf841f77afb08042d6" + ], + "layout": "IPY_MODEL_8f8b0764cff84aa599dc62e506d32945" + } + }, + "3795fc194aa24c5dad2d4307ced31b01": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_68144c2678894964b92a2276c076c100", + "placeholder": "​", + "style": "IPY_MODEL_f640dfe450c9435a85a8545815d322e2", + "value": "Generating test split: 100%" + } + }, + "c3aa583984054cc8ada381f951ec1dbe": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_35612104bec74619b84479546bb5284c", + "max": 9, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_bcd97ff4f8f046f08123e1756dafcb87", + "value": 9 + } + }, + "0a4a9d3446fb4eaf841f77afb08042d6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e61c97a7112f42a590fc3fa05e93af10", + "placeholder": "​", + "style": "IPY_MODEL_366e5b76a72040f1ac064f8dae642696", + "value": " 9/9 [00:00<00:00, 186.52 examples/s]" + } + }, + "8f8b0764cff84aa599dc62e506d32945": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "68144c2678894964b92a2276c076c100": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f640dfe450c9435a85a8545815d322e2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "35612104bec74619b84479546bb5284c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "bcd97ff4f8f046f08123e1756dafcb87": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "e61c97a7112f42a590fc3fa05e93af10": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "366e5b76a72040f1ac064f8dae642696": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "12089cbf8c274c4b9bd8709e5ce9e843": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a8e9de3cb14a4d33b11a7a9898bb8c1b", + "IPY_MODEL_2545a22290434adc84bf2c8586223502", + "IPY_MODEL_3d201a9ad5d944dab1261ffd9ba5624b" + ], + "layout": "IPY_MODEL_63812ce1ae234c42afa6282ee0fc9db8" + } + }, + "a8e9de3cb14a4d33b11a7a9898bb8c1b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_224862fd23dc4a2aa36f669c19cd74df", + "placeholder": "​", + "style": "IPY_MODEL_eefb86e38fc04926ab15da90cc6f7b1c", + "value": "tokenizer_config.json: 100%" + } + }, + "2545a22290434adc84bf2c8586223502": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_152f4e61024a4dc89b7097ea2eb9242a", + "max": 2349, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_406f3a924a324756a6d827680745a158", + "value": 2349 + } + }, + "3d201a9ad5d944dab1261ffd9ba5624b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a499903f62534d02bee333628fefadd8", + "placeholder": "​", + "style": "IPY_MODEL_3d073507a7844b74b00e4c15b028c453", + "value": " 2.35k/2.35k [00:00<00:00, 15.2kB/s]" + } + }, + "63812ce1ae234c42afa6282ee0fc9db8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "224862fd23dc4a2aa36f669c19cd74df": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "eefb86e38fc04926ab15da90cc6f7b1c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "152f4e61024a4dc89b7097ea2eb9242a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "406f3a924a324756a6d827680745a158": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a499903f62534d02bee333628fefadd8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3d073507a7844b74b00e4c15b028c453": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f5eb90989c9a4d62939e2a6fb2cee7ea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_73fcefc30bd9439da824cf48aec2d103", + "IPY_MODEL_4c429c98f4434e2d9142e52b8e29b510", + "IPY_MODEL_1342d2d395274eda8644a6fd752fdd90" + ], + "layout": "IPY_MODEL_e7b5af69fbe04db7b55701f6841b19f8" + } + }, + "73fcefc30bd9439da824cf48aec2d103": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_065962a13f854d8ca853523a35abe682", + "placeholder": "​", + "style": "IPY_MODEL_4fab93e3a5b64be484725f551e066821", + "value": "spiece.model: 100%" + } + }, + "4c429c98f4434e2d9142e52b8e29b510": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3692b83b3dd2455fb57d97f9a492a2a3", + "max": 791656, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_aea04b8c2c634dba8efbe7e53278f1a1", + "value": 791656 + } + }, + "1342d2d395274eda8644a6fd752fdd90": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_466a458f035c49c0ac6a3c63231caf3c", + "placeholder": "​", + "style": "IPY_MODEL_50a0b736beac4796a052c5d1ef01278c", + "value": " 792k/792k [00:00<00:00, 42.8MB/s]" + } + }, + "e7b5af69fbe04db7b55701f6841b19f8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "065962a13f854d8ca853523a35abe682": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4fab93e3a5b64be484725f551e066821": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3692b83b3dd2455fb57d97f9a492a2a3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "aea04b8c2c634dba8efbe7e53278f1a1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "466a458f035c49c0ac6a3c63231caf3c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "50a0b736beac4796a052c5d1ef01278c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7d62a24130f74d2c88350514ed443e09": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_c5a05fdb8ca34730890da8c5f24c7932", + "IPY_MODEL_e085fee91ba14991b5658c59cc5e3d48", + "IPY_MODEL_03d7e36e70a74935817cf7e904386009" + ], + "layout": "IPY_MODEL_1abffed38f8f43898a8b51603c06cb3c" + } + }, + "c5a05fdb8ca34730890da8c5f24c7932": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6a125198f18d4389a52437c5517cee96", + "placeholder": "​", + "style": "IPY_MODEL_8bec784f89c843a18301d39bac8ccb2b", + "value": "tokenizer.json: 100%" + } + }, + "e085fee91ba14991b5658c59cc5e3d48": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bb2ef40c8a384ce09571552b4139c007", + "max": 2422276, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_1d5ce33887874ef9ab5bda23ffcac58e", + "value": 2422276 + } + }, + "03d7e36e70a74935817cf7e904386009": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e94cc390a3834d96ab286dc34171a415", + "placeholder": "​", + "style": "IPY_MODEL_02eecb776d954fd18ad382689b879732", + "value": " 2.42M/2.42M [00:00<00:00, 30.9MB/s]" + } + }, + "1abffed38f8f43898a8b51603c06cb3c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6a125198f18d4389a52437c5517cee96": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8bec784f89c843a18301d39bac8ccb2b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bb2ef40c8a384ce09571552b4139c007": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1d5ce33887874ef9ab5bda23ffcac58e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "e94cc390a3834d96ab286dc34171a415": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "02eecb776d954fd18ad382689b879732": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8ae54f55b55d4c9f839126bad7ef7d5d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7fe2f8f7bd804625b47e20d6dfdb2f90", + "IPY_MODEL_7450b67658e34e9ba1128dd96a7dd761", + "IPY_MODEL_77e62b3842d34b2c957181828ed1384e" + ], + "layout": "IPY_MODEL_49396a84474e4a22bb36beb7fe8af578" + } + }, + "7fe2f8f7bd804625b47e20d6dfdb2f90": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c992cb0430734534a32670db313c22d7", + "placeholder": "​", + "style": "IPY_MODEL_05c4ff5f4d0f41c9a1d86cfb2cf217e7", + "value": "added_tokens.json: 100%" + } + }, + "7450b67658e34e9ba1128dd96a7dd761": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_536f38073f2940208203d7ad687cc140", + "max": 21, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_09134eec3df342a692cf2aaa2a512f93", + "value": 21 + } + }, + "77e62b3842d34b2c957181828ed1384e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_aa3e92b3739f4e058b6c0b74ab9d28a4", + "placeholder": "​", + "style": "IPY_MODEL_c598090597944705a535a13ff34a8f54", + "value": " 21.0/21.0 [00:00<00:00, 1.04kB/s]" + } + }, + "49396a84474e4a22bb36beb7fe8af578": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c992cb0430734534a32670db313c22d7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "05c4ff5f4d0f41c9a1d86cfb2cf217e7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "536f38073f2940208203d7ad687cc140": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "09134eec3df342a692cf2aaa2a512f93": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "aa3e92b3739f4e058b6c0b74ab9d28a4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c598090597944705a535a13ff34a8f54": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0deb6120db2d409ca39b3f8bc3d774e6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3e9c1d5523054c129d737d3665cc29ba", + "IPY_MODEL_624c3e053f974fcd8ac16291d607e3ad", + "IPY_MODEL_0277423c18f349cca0eb1f3ba6fe0173" + ], + "layout": "IPY_MODEL_3ad2fdc08a4b4c6a8b5c76a5ac583296" + } + }, + "3e9c1d5523054c129d737d3665cc29ba": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4761f8c67ed94f988a48a3647f08a222", + "placeholder": "​", + "style": "IPY_MODEL_5cf09a783a3648438625670dcd553349", + "value": "special_tokens_map.json: 100%" + } + }, + "624c3e053f974fcd8ac16291d607e3ad": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b993c26f263a40a799d63332404854eb", + "max": 2225, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_119f1ba3ee0d42a187e53d267f49832d", + "value": 2225 + } + }, + "0277423c18f349cca0eb1f3ba6fe0173": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2a39ac07064049229e2bfd4aa9453b3e", + "placeholder": "​", + "style": "IPY_MODEL_0948b97772f34b92898ebbe01e1a6a1e", + "value": " 2.23k/2.23k [00:00<00:00, 140kB/s]" + } + }, + "3ad2fdc08a4b4c6a8b5c76a5ac583296": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4761f8c67ed94f988a48a3647f08a222": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5cf09a783a3648438625670dcd553349": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b993c26f263a40a799d63332404854eb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "119f1ba3ee0d42a187e53d267f49832d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "2a39ac07064049229e2bfd4aa9453b3e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0948b97772f34b92898ebbe01e1a6a1e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d559629925914a2d8910a978f0e53e92": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7ccb02fdbc774ecbbb7f5a8692be2253", + "IPY_MODEL_c5196f2b095845e29fc62f686c32249c", + "IPY_MODEL_8d21ea2211b04e97884bd1e6985b0169" + ], + "layout": "IPY_MODEL_5705bd4eccdb4662b7e9d99a687f8d2a" + } + }, + "7ccb02fdbc774ecbbb7f5a8692be2253": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_94d2a04c70194cd490343208619018d0", + "placeholder": "​", + "style": "IPY_MODEL_8b11f45f5ea74c71be951ab181432600", + "value": "config.json: 100%" + } + }, + "c5196f2b095845e29fc62f686c32249c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_705f9494ea9941a380138e3d564cb938", + "max": 1477, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_341b5ec7c2754626af358fbf7fead3c8", + "value": 1477 + } + }, + "8d21ea2211b04e97884bd1e6985b0169": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_76207b5ccdca4fae86d87f28781922cc", + "placeholder": "​", + "style": "IPY_MODEL_0625fd86da134ff7bc7f02e9ff2e5f51", + "value": " 1.48k/1.48k [00:00<00:00, 86.4kB/s]" + } + }, + "5705bd4eccdb4662b7e9d99a687f8d2a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "94d2a04c70194cd490343208619018d0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8b11f45f5ea74c71be951ab181432600": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "705f9494ea9941a380138e3d564cb938": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "341b5ec7c2754626af358fbf7fead3c8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "76207b5ccdca4fae86d87f28781922cc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0625fd86da134ff7bc7f02e9ff2e5f51": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e1dc280dc089471aa33b46eb8be53eec": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_c089cc40d4a54edea4d7140c4540417e", + "IPY_MODEL_50ffe6a6a7f54a09afe9403896d03491", + "IPY_MODEL_482c8fb96aa34f0f99297cc8f895948a" + ], + "layout": "IPY_MODEL_df7af659647e41f6859ea0aa4f6c72b1" + } + }, + "c089cc40d4a54edea4d7140c4540417e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e4629435660a45238eb470c95bb62414", + "placeholder": "​", + "style": "IPY_MODEL_810a0f8229204b2c920b7610d1c10347", + "value": "pytorch_model.bin: 100%" + } + }, + "50ffe6a6a7f54a09afe9403896d03491": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_582e2bd55f0b46f69cb0007dec0fdcfa", + "max": 2950837703, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_1e326d0789c046edbee6bd923a8f9a5a", + "value": 2950837703 + } + }, + "482c8fb96aa34f0f99297cc8f895948a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_95f91bcd10fd45ab9b771dd1a53af6f3", + "placeholder": "​", + "style": "IPY_MODEL_703c0bf1c11a48118dc8e5aa4646560d", + "value": " 2.95G/2.95G [00:23<00:00, 105MB/s]" + } + }, + "df7af659647e41f6859ea0aa4f6c72b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e4629435660a45238eb470c95bb62414": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "810a0f8229204b2c920b7610d1c10347": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "582e2bd55f0b46f69cb0007dec0fdcfa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1e326d0789c046edbee6bd923a8f9a5a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "95f91bcd10fd45ab9b771dd1a53af6f3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "703c0bf1c11a48118dc8e5aa4646560d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "ce73de7ce5bb4c26ae7dab4742e61661": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a0462ca049b2496eae4262a17cef56ca", + "IPY_MODEL_6a92d332ecb64f7382fd9034ab987220", + "IPY_MODEL_d50cffef5b9c469191cadaade164d69f" + ], + "layout": "IPY_MODEL_cca44f43cf184fac857f773e3a725442" + } + }, + "a0462ca049b2496eae4262a17cef56ca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_efee227b6d8444eaa97bd0051bdea1cf", + "placeholder": "​", + "style": "IPY_MODEL_9b6b663d7b7b4417adfb3ec60f60ed4c", + "value": "generation_config.json: 100%" + } + }, + "6a92d332ecb64f7382fd9034ab987220": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4b414041f08342c2a927a9803da2af3a", + "max": 142, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_48b2866aa3fc4925828a7c3dabcb41d8", + "value": 142 + } + }, + "d50cffef5b9c469191cadaade164d69f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7b4481138c984f4db1c6cdaa61cbc6a8", + "placeholder": "​", + "style": "IPY_MODEL_8c440c9fe6ad430cae9c88917a3cff09", + "value": " 142/142 [00:00<00:00, 9.77kB/s]" + } + }, + "cca44f43cf184fac857f773e3a725442": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "efee227b6d8444eaa97bd0051bdea1cf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9b6b663d7b7b4417adfb3ec60f60ed4c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4b414041f08342c2a927a9803da2af3a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "48b2866aa3fc4925828a7c3dabcb41d8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "7b4481138c984f4db1c6cdaa61cbc6a8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8c440c9fe6ad430cae9c88917a3cff09": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "86e1e7326efd48ccb7cbdfd98887f6f4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_4a6195e12cd44110ba174596eb5979f2", + "IPY_MODEL_afefd16a06c949f5b210a35b6ea6829f", + "IPY_MODEL_e1a938cb60d241aa877724b16db490bc" + ], + "layout": "IPY_MODEL_fc61ff30b3894b2bb4620f6e2fee067e" + } + }, + "4a6195e12cd44110ba174596eb5979f2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_89f9b7c6b1f44dd78abbf26b54a60bb7", + "placeholder": "​", + "style": "IPY_MODEL_895d18d95303401e925e1062233dbbdd", + "value": "preprocessor_config.json: 100%" + } + }, + "afefd16a06c949f5b210a35b6ea6829f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8edb7a8b4729464a8245a482c180faf4", + "max": 445, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_ef536b24d9c349c48021d21407555b89", + "value": 445 + } + }, + "e1a938cb60d241aa877724b16db490bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_df4116b0d98e4326b7025560d629efee", + "placeholder": "​", + "style": "IPY_MODEL_6262d5c70b2c42bf94b3e7886e5922ed", + "value": " 445/445 [00:00<00:00, 26.8kB/s]" + } + }, + "fc61ff30b3894b2bb4620f6e2fee067e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "89f9b7c6b1f44dd78abbf26b54a60bb7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "895d18d95303401e925e1062233dbbdd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8edb7a8b4729464a8245a482c180faf4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ef536b24d9c349c48021d21407555b89": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "df4116b0d98e4326b7025560d629efee": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6262d5c70b2c42bf94b3e7886e5922ed": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b1958867da2e47a4bb5150a618e139fe": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a443f766cc4547e4bb309941d346765c", + "IPY_MODEL_95e01d26e4f149f796c2ebbf3a5195c3", + "IPY_MODEL_f38e54bf09604e5188ababf9199a7c3f" + ], + "layout": "IPY_MODEL_0520f769c76645e98572235e2a2a721a" + } + }, + "a443f766cc4547e4bb309941d346765c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_353c35f5927c43b99044649a5b9db066", + "placeholder": "​", + "style": "IPY_MODEL_b18a9978ab1f43f2a15b6037a9cb7d0a", + "value": "tokenizer_config.json: 100%" + } + }, + "95e01d26e4f149f796c2ebbf3a5195c3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_457fd27e6efe4ab7a8ea0a9b9b9e9b15", + "max": 592, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_f13ad719c37241dcb762ce6cf760b8b2", + "value": 592 + } + }, + "f38e54bf09604e5188ababf9199a7c3f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9a002ff533724e60a1a80c254200d250", + "placeholder": "​", + "style": "IPY_MODEL_6343ca27f6e34f40b9190cb6d5b1e98f", + "value": " 592/592 [00:00<00:00, 49.6kB/s]" + } + }, + "0520f769c76645e98572235e2a2a721a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "353c35f5927c43b99044649a5b9db066": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b18a9978ab1f43f2a15b6037a9cb7d0a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "457fd27e6efe4ab7a8ea0a9b9b9e9b15": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f13ad719c37241dcb762ce6cf760b8b2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "9a002ff533724e60a1a80c254200d250": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6343ca27f6e34f40b9190cb6d5b1e98f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f973e32eba2c4be6a733a7c52f1f9257": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_bafbf372926c46919b22219dce6840a3", + "IPY_MODEL_0348847163ce4d61aa4fd81cace32a80", + "IPY_MODEL_025ee188a3804ef48ed06359a70a1417" + ], + "layout": "IPY_MODEL_29694e10da3f4657b794bd15aa627ea0" + } + }, + "bafbf372926c46919b22219dce6840a3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c7fa3d3a9e0d46aab63c29fe345787e3", + "placeholder": "​", + "style": "IPY_MODEL_86e0c58b9a144136bf0dc7a3033dd63f", + "value": "vocab.txt: 100%" + } + }, + "0348847163ce4d61aa4fd81cace32a80": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9113a062618c4725bb6e46d6a6914471", + "max": 231508, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_a0513339a2ca48418be20aaddebb79d2", + "value": 231508 + } + }, + "025ee188a3804ef48ed06359a70a1417": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f95d1ca3a1ab4810a8907243d48284ec", + "placeholder": "​", + "style": "IPY_MODEL_13fe611f56ce4b5aac814f9d75ec4704", + "value": " 232k/232k [00:00<00:00, 4.85MB/s]" + } + }, + "29694e10da3f4657b794bd15aa627ea0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c7fa3d3a9e0d46aab63c29fe345787e3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "86e0c58b9a144136bf0dc7a3033dd63f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "9113a062618c4725bb6e46d6a6914471": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a0513339a2ca48418be20aaddebb79d2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "f95d1ca3a1ab4810a8907243d48284ec": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "13fe611f56ce4b5aac814f9d75ec4704": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "df3b44d7cfa94953ab8b4420ee16b8f4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_5bb6880d895e463d9dbcfe82ff0934ab", + "IPY_MODEL_ab5c06ed146548eea4c8da95bc2440cb", + "IPY_MODEL_38acff41f75544c7aec75fe5a647b455" + ], + "layout": "IPY_MODEL_d12843ac262d4392b04aafa5f7b01451" + } + }, + "5bb6880d895e463d9dbcfe82ff0934ab": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5c23cf02ebeb44219b7e2cc7bfdff8df", + "placeholder": "​", + "style": "IPY_MODEL_69c3345321e24941a64e123bae4afba4", + "value": "tokenizer.json: 100%" + } + }, + "ab5c06ed146548eea4c8da95bc2440cb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3164c3bb190344d9800882ac34c849b6", + "max": 711396, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_8d824c0358e74bfaa400c09ea41560c6", + "value": 711396 + } + }, + "38acff41f75544c7aec75fe5a647b455": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0044417e764d4bed8c74782d34425840", + "placeholder": "​", + "style": "IPY_MODEL_3e6daf51681a42efb80f1becec68496e", + "value": " 711k/711k [00:00<00:00, 17.3MB/s]" + } + }, + "d12843ac262d4392b04aafa5f7b01451": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5c23cf02ebeb44219b7e2cc7bfdff8df": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "69c3345321e24941a64e123bae4afba4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3164c3bb190344d9800882ac34c849b6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8d824c0358e74bfaa400c09ea41560c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "0044417e764d4bed8c74782d34425840": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3e6daf51681a42efb80f1becec68496e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "9945519b3205481088a47b4fc41d6ffc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_2ea43883d1134c0296292147e46b4481", + "IPY_MODEL_128b0807b0f446be93da373262f3365e", + "IPY_MODEL_6dca86ba814344b683675c41b5754269" + ], + "layout": "IPY_MODEL_ba80c68a678b47fda7d190f2d156ff5b" + } + }, + "2ea43883d1134c0296292147e46b4481": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3423de29c6064aa2aa92370e3aa53dc0", + "placeholder": "​", + "style": "IPY_MODEL_7fb3d2c03d244561b2d66cce9847db82", + "value": "special_tokens_map.json: 100%" + } + }, + "128b0807b0f446be93da373262f3365e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_982a1b8f716b4d008b6b2b6f00fa4d61", + "max": 125, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_452ae48d665b44cca1edb440e3513142", + "value": 125 + } + }, + "6dca86ba814344b683675c41b5754269": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2f1a68fdb79049269aacd67da7fde548", + "placeholder": "​", + "style": "IPY_MODEL_283b7bac78a848fbb337270861ea77b8", + "value": " 125/125 [00:00<00:00, 8.84kB/s]" + } + }, + "ba80c68a678b47fda7d190f2d156ff5b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3423de29c6064aa2aa92370e3aa53dc0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7fb3d2c03d244561b2d66cce9847db82": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "982a1b8f716b4d008b6b2b6f00fa4d61": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "452ae48d665b44cca1edb440e3513142": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "2f1a68fdb79049269aacd67da7fde548": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "283b7bac78a848fbb337270861ea77b8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1e1c8445439c4f928aa31c8967565576": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_1a97acd8b80c46b4a5acfdd7625fdd56", + "IPY_MODEL_7ed787595fbd407888a30c4ee6a1477d", + "IPY_MODEL_ae51af5bf6fb44f3b899aeb3defeb306" + ], + "layout": "IPY_MODEL_c432875dc44249d2b7a6bbaaeb130691" + } + }, + "1a97acd8b80c46b4a5acfdd7625fdd56": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f313c734e9ff440a854d52462521ea6e", + "placeholder": "​", + "style": "IPY_MODEL_885be9a90d144e57846191011ade2eae", + "value": "config.json: 100%" + } + }, + "7ed787595fbd407888a30c4ee6a1477d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e472525e167b49c2af9a1924a93cba6e", + "max": 4559, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7fedcdb76e824d4d93e0e7f9bb0a26b4", + "value": 4559 + } + }, + "ae51af5bf6fb44f3b899aeb3defeb306": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_948c491883af4609a02e4137c4bbcd14", + "placeholder": "​", + "style": "IPY_MODEL_3919316ce6314f919beb3304714555fe", + "value": " 4.56k/4.56k [00:00<00:00, 242kB/s]" + } + }, + "c432875dc44249d2b7a6bbaaeb130691": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f313c734e9ff440a854d52462521ea6e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "885be9a90d144e57846191011ade2eae": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e472525e167b49c2af9a1924a93cba6e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7fedcdb76e824d4d93e0e7f9bb0a26b4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "948c491883af4609a02e4137c4bbcd14": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null } }, - "f46eec389a6e465d9da7fe9645c163da": { + "3919316ce6314f919beb3304714555fe": { "model_module": "@jupyter-widgets/controls", - "model_name": "HTMLModel", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_340c0254c799476bb777f06c13e0c476", - "placeholder": "​", - "style": "IPY_MODEL_370ca959de5a4feebb621526c9b76930", - "value": "

Copy a token from your Hugging Face\ntokens page and paste it below.
Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file.
" + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" } }, - "4710c57f77414948a8edffa923180ace": { + "649d762c7e674f7fbda6683909ea9bf3": { "model_module": "@jupyter-widgets/controls", - "model_name": "PasswordModel", + "model_name": "HBoxModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "PasswordModel", + "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "PasswordView", - "continuous_update": true, - "description": "Token:", - "description_tooltip": null, - "disabled": false, - "layout": "IPY_MODEL_924ac284fa5a464aab90941d2de37d1d", - "placeholder": "​", - "style": "IPY_MODEL_dd7aa4800af947db98784af70affa906", - "value": "" + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_ae0f1b723c8e4d1a98c01e6410e0db57", + "IPY_MODEL_0bde84c427924003bd6ae09dfc494070", + "IPY_MODEL_de8a5204ac7e4bb7911365910fb70385" + ], + "layout": "IPY_MODEL_6925f1c43c0e457a8f7d59240df16ea2" } }, - "58454cbb731748bfaee3db0c9d5cf5ba": { + "ae0f1b723c8e4d1a98c01e6410e0db57": { "model_module": "@jupyter-widgets/controls", - "model_name": "CheckboxModel", + "model_name": "HTMLModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "CheckboxModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "CheckboxView", - "description": "Add token as git credential?", + "_view_name": "HTMLView", + "description": "", "description_tooltip": null, - "disabled": false, - "indent": true, - "layout": "IPY_MODEL_2eae6964b0514deb8a986032cfa703a0", - "style": "IPY_MODEL_34e88b7e493e4d698756bece63d043a3", - "value": true + "layout": "IPY_MODEL_4b8c289f6d374fe5a49f35a16ad6918a", + "placeholder": "​", + "style": "IPY_MODEL_586d693111a344979e6bfa0f5090ff03", + "value": "model.safetensors: 100%" } }, - "d2217d70e0de4cffb85cf30a0ece1e20": { + "0bde84c427924003bd6ae09dfc494070": { "model_module": "@jupyter-widgets/controls", - "model_name": "ButtonModel", + "model_name": "FloatProgressModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ButtonModel", + "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "ButtonView", - "button_style": "", - "description": "Login", - "disabled": false, - "icon": "", - "layout": "IPY_MODEL_a51bf2e26c734146ae8fba179d2aa4aa", - "style": "IPY_MODEL_6272895bedcc4dab9594b030145a6e9d", - "tooltip": "" + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3a1189ec79c146e5b8eb7844548e8993", + "max": 1538800584, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_2494ed71e51e477cba76ff425ac68e3d", + "value": 1538800584 } }, - "27a2a696724240e48db9158c814987e2": { + "de8a5204ac7e4bb7911365910fb70385": { "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", "model_module_version": "1.5.0", @@ -805,13 +14495,13 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_585b25543d6d4971a19e5644b05d89dc", + "layout": "IPY_MODEL_c89ac2fcd68949f7a38bfeacc34069dd", "placeholder": "​", - "style": "IPY_MODEL_e648bf12632a4c078068d55134187b46", - "value": "\nPro Tip: If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks. " + "style": "IPY_MODEL_31a999f1bb8f477aae59c715c9cba68b", + "value": " 1.54G/1.54G [00:09<00:00, 180MB/s]" } }, - "14e6340f96a24a83940a9ca94f91761d": { + "6925f1c43c0e457a8f7d59240df16ea2": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -824,13 +14514,13 @@ "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, - "align_items": "center", + "align_items": null, "align_self": null, "border": null, "bottom": null, - "display": "flex", + "display": null, "flex": null, - "flex_flow": "column", + "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, @@ -860,10 +14550,10 @@ "right": null, "top": null, "visibility": null, - "width": "50%" + "width": null } }, - "340c0254c799476bb777f06c13e0c476": { + "4b8c289f6d374fe5a49f35a16ad6918a": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -915,7 +14605,7 @@ "width": null } }, - "370ca959de5a4feebb621526c9b76930": { + "586d693111a344979e6bfa0f5090ff03": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", @@ -930,7 +14620,7 @@ "description_width": "" } }, - "924ac284fa5a464aab90941d2de37d1d": { + "3a1189ec79c146e5b8eb7844548e8993": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -982,22 +14672,23 @@ "width": null } }, - "dd7aa4800af947db98784af70affa906": { + "2494ed71e51e477cba76ff425ac68e3d": { "model_module": "@jupyter-widgets/controls", - "model_name": "DescriptionStyleModel", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "2eae6964b0514deb8a986032cfa703a0": { + "c89ac2fcd68949f7a38bfeacc34069dd": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -1049,7 +14740,7 @@ "width": null } }, - "34e88b7e493e4d698756bece63d043a3": { + "31a999f1bb8f477aae59c715c9cba68b": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", @@ -1064,7 +14755,147 @@ "description_width": "" } }, - "a51bf2e26c734146ae8fba179d2aa4aa": { + "acb0c5738e304a12b3598c8f3d5e8c2b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_6f16b30d144e4969a2db2f8f2a9900a5", + "IPY_MODEL_5f7e7a75b58946449ff2c9970c83953c", + "IPY_MODEL_9fe9d27c182646e79c4c64d882b3f963" + ], + "layout": "IPY_MODEL_dcef49b7238349dc9effd80bf75c613c" + } + }, + "6f16b30d144e4969a2db2f8f2a9900a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_03254c2a88364a12b7f1de8e8bb21af4", + "placeholder": "​", + "style": "IPY_MODEL_b616f38668f648ae86648406609c99ac", + "value": "model.safetensors: 100%" + } + }, + "5f7e7a75b58946449ff2c9970c83953c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c362271c958e46b58992770075d01641", + "max": 1538792184, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_f273ac76310e4a35885dcdd0342f08e2", + "value": 1538792184 + } + }, + "9fe9d27c182646e79c4c64d882b3f963": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6621388f3e5b4d39a7b9da9fdd48da6d", + "placeholder": "​", + "style": "IPY_MODEL_fff21e66ab2b4106bb721f151eb872c2", + "value": " 1.54G/1.54G [00:37<00:00, 43.7MB/s]" + } + }, + "dcef49b7238349dc9effd80bf75c613c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "03254c2a88364a12b7f1de8e8bb21af4": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -1116,23 +14947,22 @@ "width": null } }, - "6272895bedcc4dab9594b030145a6e9d": { + "b616f38668f648ae86648406609c99ac": { "model_module": "@jupyter-widgets/controls", - "model_name": "ButtonStyleModel", + "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "ButtonStyleModel", + "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", - "button_color": null, - "font_weight": "" + "description_width": "" } }, - "585b25543d6d4971a19e5644b05d89dc": { + "c362271c958e46b58992770075d01641": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -1184,43 +15014,23 @@ "width": null } }, - "e648bf12632a4c078068d55134187b46": { + "f273ac76310e4a35885dcdd0342f08e2": { "model_module": "@jupyter-widgets/controls", - "model_name": "DescriptionStyleModel", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "76f74f8572f84c3188ce30f1b9f308c5": { - "model_module": "@jupyter-widgets/controls", - "model_name": "LabelModel", - "model_module_version": "1.5.0", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "LabelModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "LabelView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_b1c6914c9cff47e9908188a1744f7242", - "placeholder": "​", - "style": "IPY_MODEL_02ed82d4297d438f97b8d7481f519eee", - "value": "Connecting..." - } - }, - "b1c6914c9cff47e9908188a1744f7242": { + "6621388f3e5b4d39a7b9da9fdd48da6d": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -1272,7 +15082,7 @@ "width": null } }, - "02ed82d4297d438f97b8d7481f519eee": { + "fff21e66ab2b4106bb721f151eb872c2": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", @@ -1287,91 +15097,95 @@ "description_width": "" } }, - "076f54dc01d944dcb4b17420752870af": { + "dfc97b8b5e6944ceb8342b84db3f70fc": { "model_module": "@jupyter-widgets/controls", - "model_name": "LabelModel", + "model_name": "HBoxModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "LabelModel", + "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "LabelView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_a4e6776e1057449a8e525a499f88c784", - "placeholder": "​", - "style": "IPY_MODEL_77388a40adf04e0aa74542142c37c86b", - "value": "Token is valid (permission: write)." + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_d9715f8b6f7f443d89d061edfdcffbe9", + "IPY_MODEL_67889dc9479c476f9cb552fefd3a6a57", + "IPY_MODEL_8a948d1803a044f880791bf5719c92eb" + ], + "layout": "IPY_MODEL_593ea9fc45e34e89b74a180aa1ef3339" } }, - "f866447196b749f884b03e648db8eded": { + "d9715f8b6f7f443d89d061edfdcffbe9": { "model_module": "@jupyter-widgets/controls", - "model_name": "LabelModel", + "model_name": "HTMLModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "LabelModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "LabelView", + "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_e9f36b0a9578425b91af01e16b34fcf1", + "layout": "IPY_MODEL_a5673c439d624c779f1db921568b9371", "placeholder": "​", - "style": "IPY_MODEL_b07e98e4cc344be193a2da7e04f72bec", - "value": "Your token has been saved in your configured git credential helpers (store)." + "style": "IPY_MODEL_5896877dbe744f6abdc533bf3fa625a5", + "value": "model.safetensors: 100%" } }, - "696e1a134d374285817e46f42e03504d": { + "67889dc9479c476f9cb552fefd3a6a57": { "model_module": "@jupyter-widgets/controls", - "model_name": "LabelModel", + "model_name": "FloatProgressModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "LabelModel", + "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "LabelView", + "_view_name": "ProgressView", + "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_00245c5c3d9243b187b4e701e7557c5b", - "placeholder": "​", - "style": "IPY_MODEL_27a2b90344e54755a7cad4968ca8f350", - "value": "Your token has been saved to /root/.cache/huggingface/token" + "layout": "IPY_MODEL_e964af7f8f134f98b241fbe91b2a4c8a", + "max": 1538792184, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_273e9c2c3ef84dce9c2abf37706fed84", + "value": 1538792184 } }, - "4a13efd8cad04bfc971a48075fc9851e": { + "8a948d1803a044f880791bf5719c92eb": { "model_module": "@jupyter-widgets/controls", - "model_name": "LabelModel", + "model_name": "HTMLModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "LabelModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "LabelView", + "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_8956f48644fc410c8707a6aef3dc3a86", + "layout": "IPY_MODEL_bf11f52f26d74d479b652870a1ef3a0b", "placeholder": "​", - "style": "IPY_MODEL_318e896402ba44e0b73f45aa2d869592", - "value": "Login successful" + "style": "IPY_MODEL_1b4ebcc24d1b4ee4952866f250032541", + "value": " 1.54G/1.54G [00:38<00:00, 45.2MB/s]" } }, - "a4e6776e1057449a8e525a499f88c784": { + "593ea9fc45e34e89b74a180aa1ef3339": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -1423,22 +15237,7 @@ "width": null } }, - "77388a40adf04e0aa74542142c37c86b": { - "model_module": "@jupyter-widgets/controls", - "model_name": "DescriptionStyleModel", - "model_module_version": "1.5.0", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "e9f36b0a9578425b91af01e16b34fcf1": { + "a5673c439d624c779f1db921568b9371": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -1490,7 +15289,7 @@ "width": null } }, - "b07e98e4cc344be193a2da7e04f72bec": { + "5896877dbe744f6abdc533bf3fa625a5": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", @@ -1505,7 +15304,7 @@ "description_width": "" } }, - "00245c5c3d9243b187b4e701e7557c5b": { + "e964af7f8f134f98b241fbe91b2a4c8a": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -1557,22 +15356,23 @@ "width": null } }, - "27a2b90344e54755a7cad4968ca8f350": { + "273e9c2c3ef84dce9c2abf37706fed84": { "model_module": "@jupyter-widgets/controls", - "model_name": "DescriptionStyleModel", + "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", + "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", + "bar_color": null, "description_width": "" } }, - "8956f48644fc410c8707a6aef3dc3a86": { + "bf11f52f26d74d479b652870a1ef3a0b": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -1624,7 +15424,7 @@ "width": null } }, - "318e896402ba44e0b73f45aa2d869592": { + "1b4ebcc24d1b4ee4952866f250032541": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0",