{"metadata":{"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":50947,"databundleVersionId":5741538,"sourceType":"competition"},{"sourceId":64148,"databundleVersionId":7669720,"sourceType":"competition"},{"sourceId":5134565,"sourceType":"datasetVersion","datasetId":2593672},{"sourceId":7846132,"sourceType":"datasetVersion","datasetId":4600562},{"sourceId":7944233,"sourceType":"datasetVersion","datasetId":4670953},{"sourceId":7949651,"sourceType":"datasetVersion","datasetId":4674941},{"sourceId":7951074,"sourceType":"datasetVersion","datasetId":4675929},{"sourceId":11261,"sourceType":"modelInstanceVersion","modelInstanceId":8332}],"dockerImageVersionId":30674,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true},"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.13"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Help Find Matching Past Solutions and Writeups\n\nThe main idea of this notebook is to try and see how to use Gemma to help a Kaggle competitor find solutions for Kaggle competitions based on past similar competitions. \n\n### Example Competition\n\nI start with taking an example competition to try to find potential approaches for. In this case, I have taken the (currently) ongoing competition [Home Credit - Credit Risk Model Stability](https://www.kaggle.com/competitions/home-credit-credit-risk-model-stability).\n\n### Finding Similar Competitions\n\nFirst step is to find competitions similar to the selected one, in this case to the [Home Credit - Credit Risk Model Stability](https://www.kaggle.com/competitions/home-credit-credit-risk-model-stability) competition. The competition descriptions and similarity search are for this task. \n\nFirst, similarity search for the descriptions is based on the [nomic-embed-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5) embedding model. With 8k token window (same as Gemma) it should be able to handle long descriptions. Good ranking on the [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard) helps as well.\n\nSecond, a re-ranker model [bge-reranker-v2-gemma](https://huggingface.co/BAAI/bge-reranker-v2-gemma) is to trial a Gemma LLM based approach for the same task. The end result for this model in this task is not so great, but gives some idea on different angles to apply this type of LLM.\n\n### Summaries for Related Competitions\n\nOnce the related competitions are selected via similarity search, a writeup dataset is used to collect solution writeups for those competitions. These writeups are summarized into a smaller set of key points using Gemma, based on learnings from my [previous notebook](https://www.kaggle.com/code/donkeys/gemma-for-kaggle-writeup-summaries) on Gemma summarization. As an additional finding, Gemma seems to handle hierarchical summarization quite well here.\n\n### Solution Details\n\nThe key points from the writeup summaries are used as basis for question formulation about the used solutions. These questions are answered using Gemma's chat-interface. The context to answer those questions is retrieved using embeddings similarity search. This context selection is further refined by trialing two re-ranking approaches, a traditional cross-encoder model [mxbai-rerank-large-v1](#https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v1), and again the Gemma-based LLM re-ranker [bge-reranker-v2-gemma](https://huggingface.co/BAAI/bge-reranker-v2-gemma).\n\n## Summary of Learnings\n\n- **Summarization**: In my [previous notebook](https://www.kaggle.com/code/donkeys/gemma-for-kaggle-writeup-summaries) I experimented with Gemma summarization. Gemma was picky on the prompting, and tended to about 200-300 token summary length regardless of input size. Similar results seem to apply here.\n- **Hierarchical summarization**: Summarizing smaller subsets of writeups first, then these to a final summary helps manage GPU memory use. Gemma did quite well on this.\n- **Re-Ranking**: The Gemma based [bge-reranker-v2-gemma](https://huggingface.co/BAAI/bge-reranker-v2-gemma) re-ranker did poorly on description search, but better on direct question answering task. Perhaps because the description search is not a direct question-based search for which the model seems tuned.\n- **Question Answering (RAG)**: [Gemma 7B-it](https://huggingface.co/google/gemma-7b-it) stuck to the given context even a bit stubbornly. Asking it to think more generally beyond the given context just resulted in stating the requested information is not in the given context. Re-building the context and tuning the query fixed it.\n\n### Version history:\n- v1: Summarization, re-ranker comparison, RAG experiments\n- v2: Clarified descriptions, made datasets (uploaded models) public, commented out my Gemma LLM re-ranker experiments for competition descriptions as they took a long time to run but the results were not great. So no point in repeating them all the time. Just left the results as images (screenshots), and original executions are in the first public run of this notebook. Saves about 6h GPU time per execution here.\n","metadata":{}},{"cell_type":"code","source":"#have to update these first, or otherwise it seems the libraries might not update and load older versions\n!pip install -q -U transformers accelerate bitsandbytes lxml faiss-cpu einops sentence_transformers langchain","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:21:58.793521Z","start_time":"2024-03-26T17:21:50.842609Z"},"_kg_hide-output":true,"execution":{"iopub.status.busy":"2024-03-30T15:06:26.548204Z","iopub.execute_input":"2024-03-30T15:06:26.548463Z","iopub.status.idle":"2024-03-30T15:07:01.773603Z","shell.execute_reply.started":"2024-03-30T15:06:26.548440Z","shell.execute_reply":"2024-03-30T15:07:01.772375Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#!nvidia-smi","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:21:59.096754Z","start_time":"2024-03-26T17:21:58.795209Z"},"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2024-03-30T15:07:01.776080Z","iopub.execute_input":"2024-03-30T15:07:01.776506Z","iopub.status.idle":"2024-03-30T15:07:01.782093Z","shell.execute_reply.started":"2024-03-30T15:07:01.776455Z","shell.execute_reply":"2024-03-30T15:07:01.780885Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nfrom IPython.display import HTML, Markdown, display\n\nfrom transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig\nfrom sentence_transformers import util\nfrom sentence_transformers import SentenceTransformer\nfrom sentence_transformers import CrossEncoder\nimport transformers\nimport torch.nn.functional as F\nimport torch\nfrom lxml import html\nimport faiss\nfrom tqdm.notebook import tqdm\n\nfrom transformers import AutoTokenizer\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\n\nimport os\n\non_kaggle = False\nif os.path.exists(\"/kaggle/input\"):\n    on_kaggle = True\n\nif on_kaggle:\n    for dirname, _, filenames in os.walk('/kaggle/input'):\n        for filename in filenames:\n            print(os.path.join(dirname, filename))\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:00.968183Z","start_time":"2024-03-26T17:21:59.098111Z"},"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_kg_hide-output":true,"execution":{"iopub.status.busy":"2024-03-30T15:07:08.335007Z","iopub.execute_input":"2024-03-30T15:07:08.335380Z","iopub.status.idle":"2024-03-30T15:07:16.892205Z","shell.execute_reply.started":"2024-03-30T15:07:08.335350Z","shell.execute_reply":"2024-03-30T15:07:16.890904Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:02.824866Z","start_time":"2024-03-26T17:22:02.822641Z"}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"DEVICE = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\")\nprint(f\"Device: {DEVICE}\")\nprint(f\"CUDA Version: {torch.version.cuda}\")\nprint(f\"Pytorch {torch.__version__}\")","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:03.167975Z","start_time":"2024-03-26T17:22:03.129385Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:16.894442Z","iopub.execute_input":"2024-03-30T15:07:16.895470Z","iopub.status.idle":"2024-03-30T15:07:16.932689Z","shell.execute_reply.started":"2024-03-30T15:07:16.895430Z","shell.execute_reply":"2024-03-30T15:07:16.931593Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Load Datasets\n\nI use data from a set of Kaggle competition writeups, and competition descriptions.\n\nIn this notebook, use Gemma with RAG to find information from the writeups. The descriptions are there to give some context for the summarization of writeups, and to perform search for relevant competitions.","metadata":{}},{"cell_type":"code","source":"if on_kaggle:\n    df_writeups = pd.read_csv(f\"/kaggle/input/2023-kaggle-ai-report/kaggle_writeups_20230510.csv\")\n    df_comp_meta = pd.read_csv(f\"/kaggle/input/kaggles-all-completed-competition-dataset/kaggle comp_submission.csv\")\nelse:\n    df_writeups = pd.read_csv(f\"/mystuff/data/kaggle_writeups_20230510.csv\")\n    df_comp_meta = pd.read_csv(f\"/mystuff/data/kaggle_comp_submission.csv\")\n\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:03.892712Z","start_time":"2024-03-26T17:22:03.744480Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:16.935196Z","iopub.execute_input":"2024-03-30T15:07:16.935565Z","iopub.status.idle":"2024-03-30T15:07:17.304221Z","shell.execute_reply.started":"2024-03-30T15:07:16.935529Z","shell.execute_reply":"2024-03-30T15:07:17.303393Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:04.770410Z","start_time":"2024-03-26T17:22:04.767991Z"}},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Data Cleanup\n\nSome of the writeups have a lot of HTML in them, causing the Gemma model sometimes to overflow its context window, and causing issues with the \"garbage\" in the text. This shows in the Writeup column here:\n","metadata":{}},{"cell_type":"code","source":"df_writeups[\"Writeup\"].values[0]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:05.296224Z","start_time":"2024-03-26T17:22:05.289248Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:17.306287Z","iopub.execute_input":"2024-03-30T15:07:17.306561Z","iopub.status.idle":"2024-03-30T15:07:17.315471Z","shell.execute_reply.started":"2024-03-30T15:07:17.306538Z","shell.execute_reply":"2024-03-30T15:07:17.314668Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"This `strip_html()` will remove HTML formatting from a writeup and only leave the actual text:","metadata":{}},{"cell_type":"code","source":"def strip_html(html_text):\n    tree = html.fromstring(html_text)\n    clean_text = tree.text_content()\n    return clean_text\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:06.945587Z","start_time":"2024-03-26T17:22:06.942155Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:17.316410Z","iopub.execute_input":"2024-03-30T15:07:17.316672Z","iopub.status.idle":"2024-03-30T15:07:17.326133Z","shell.execute_reply.started":"2024-03-30T15:07:17.316633Z","shell.execute_reply":"2024-03-30T15:07:17.325252Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"There are 2 writeups with NAN values, dropping them cleans it up.","metadata":{}},{"cell_type":"code","source":"print(f\"                 Initial set of writeups: {df_writeups.shape}\")\ndf_writeups = df_writeups.dropna(subset=['Writeup'])\nprint(f\"After removing rows with nan for writeup: {df_writeups.shape}\")\n# this shows there were 2 rows with nan writeup, 3127->3125","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:08.108665Z","start_time":"2024-03-26T17:22:08.102484Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:17.327060Z","iopub.execute_input":"2024-03-30T15:07:17.327287Z","iopub.status.idle":"2024-03-30T15:07:17.346386Z","shell.execute_reply.started":"2024-03-30T15:07:17.327267Z","shell.execute_reply":"2024-03-30T15:07:17.345504Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Strip the HTML from the writeups, store in new column writeup_clean:","metadata":{}},{"cell_type":"code","source":"df_writeups[\"writeup_clean\"] = df_writeups[\"Writeup\"].apply(strip_html)\ndf_writeups = df_writeups.rename(columns={'Writeup': 'writeup'})\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:08.952439Z","start_time":"2024-03-26T17:22:08.667902Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:17.347230Z","iopub.execute_input":"2024-03-30T15:07:17.347452Z","iopub.status.idle":"2024-03-30T15:07:17.921400Z","shell.execute_reply.started":"2024-03-30T15:07:17.347433Z","shell.execute_reply":"2024-03-30T15:07:17.920427Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Metadata Checkup","metadata":{}},{"cell_type":"markdown","source":"The _df_comp_meta_ dataset contains competition metadata such as competition name and description.","metadata":{}},{"cell_type":"code","source":"df_comp_meta.head(2)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:09.846004Z","start_time":"2024-03-26T17:22:09.831016Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:17.922567Z","iopub.execute_input":"2024-03-30T15:07:17.922840Z","iopub.status.idle":"2024-03-30T15:07:17.942076Z","shell.execute_reply.started":"2024-03-30T15:07:17.922816Z","shell.execute_reply":"2024-03-30T15:07:17.941202Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Preprocess Competition Metadata for Embedding model\n\nThe embedding model used (nomic-embed-text-v1.5) here is trained with \"search_document:\" prefix for search texts. Add it then.","metadata":{}},{"cell_type":"code","source":"df_comp_meta[\"search_doc\"] = df_comp_meta[\"desc\"].apply(lambda x: \"search_document: \"+x)\ndf_comp_meta.head()","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:11.648768Z","start_time":"2024-03-26T17:22:11.637943Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:17.943081Z","iopub.execute_input":"2024-03-30T15:07:17.943331Z","iopub.status.idle":"2024-03-30T15:07:17.960801Z","shell.execute_reply.started":"2024-03-30T15:07:17.943309Z","shell.execute_reply":"2024-03-30T15:07:17.959863Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Find Closest Competition\n\nPerform similarity search over competition descriptions to find similar competitions to the one we are interested in.","metadata":{}},{"cell_type":"code","source":"matryoshka_dim = 768\n\nif on_kaggle:\n    embed_model = SentenceTransformer(\"/kaggle/input/nomic-embed-text-v1-5-model/nomic-embed-text-v1.5\", trust_remote_code=True)\nelse:\n    embed_model = SentenceTransformer(\"/mystuff/llm/nomic-embed-text-v1.5\", trust_remote_code=True)\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:15.854496Z","start_time":"2024-03-26T17:22:12.865151Z"},"_kg_hide-output":true,"execution":{"iopub.status.busy":"2024-03-30T15:07:17.964003Z","iopub.execute_input":"2024-03-30T15:07:17.964295Z","iopub.status.idle":"2024-03-30T15:07:26.246747Z","shell.execute_reply.started":"2024-03-30T15:07:17.964271Z","shell.execute_reply":"2024-03-30T15:07:26.245793Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_comp_meta.head()","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:15.863950Z","start_time":"2024-03-26T17:22:15.855876Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"execution":{"iopub.status.busy":"2024-03-30T15:07:26.247983Z","iopub.execute_input":"2024-03-30T15:07:26.248786Z","iopub.status.idle":"2024-03-30T15:07:26.265180Z","shell.execute_reply.started":"2024-03-30T15:07:26.248750Z","shell.execute_reply":"2024-03-30T15:07:26.264331Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Embed the Docs and Query","metadata":{}},{"cell_type":"markdown","source":"Have to encode in smaller batches as the Kaggle GPU once again ran out of memory otherwise","metadata":{}},{"cell_type":"code","source":"def encode_in_batches(my_model, documents, batch_size=16):\n    embeddings = []\n    for i in tqdm(range(0, len(documents), batch_size)):\n        batch = list(documents[i:i+batch_size].values)\n        batch_embeddings = my_model.encode(batch, convert_to_tensor=True)\n        embeddings.extend(batch_embeddings)  \n        \n        torch.cuda.empty_cache()\n\n    return embeddings\n\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:15.871324Z","start_time":"2024-03-26T17:22:15.864601Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"execution":{"iopub.status.busy":"2024-03-30T15:07:26.266329Z","iopub.execute_input":"2024-03-30T15:07:26.266718Z","iopub.status.idle":"2024-03-30T15:07:26.276434Z","shell.execute_reply.started":"2024-03-30T15:07:26.266693Z","shell.execute_reply":"2024-03-30T15:07:26.275702Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"embeddings = encode_in_batches(embed_model, df_comp_meta[\"search_doc\"])","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:26.764943Z","start_time":"2024-03-26T17:22:16.647546Z"},"_kg_hide-output":true,"execution":{"iopub.status.busy":"2024-03-30T15:07:26.277458Z","iopub.execute_input":"2024-03-30T15:07:26.277778Z","iopub.status.idle":"2024-03-30T15:07:51.062692Z","shell.execute_reply.started":"2024-03-30T15:07:26.277749Z","shell.execute_reply":"2024-03-30T15:07:51.061763Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Define Search Target / Query for Related Competitions\n\nThis is a description I picked from a current Kaggle competition that will be used as a search query string. The embedding model also expects the search query to be prefixed with \"search_query:\". So lets do that.","metadata":{}},{"cell_type":"code","source":"search_comp_desc = \"\"\"The absence of a credit history might mean a lot of things, including young age or a preference for cash. Without traditional data, someone with little to no credit history is likely to be denied. Consumer finance providers must accurately determine which clients can repay a loan and which cannot and data is key. If data science could help better predict one’s repayment capabilities, loans might become more accessible to those who may benefit from them the most.\nCurrently, consumer finance providers use various statistical and machine learning methods to predict loan risk. These models are generally called scorecards. In the real world, clients' behaviors change constantly, so every scorecard must be updated regularly, which takes time. The scorecard's stability in the future is critical, as a sudden drop in performance means that loans will be issued to worse clients on average. The core of the issue is that loan providers aren't able to spot potential problems any sooner than the first due dates of those loans are observable. Given the time it takes to redevelop, validate, and implement the scorecard, stability is highly desirable. There is a trade-off between the stability of the model and its performance, and a balance must be reached before deployment.\nFounded in 1997, competition host Home Credit is an international consumer finance provider focusing on responsible lending primarily to people with little or no credit history. Home Credit broadens financial inclusion for the unbanked population by creating a positive and safe borrowing experience. We previously ran a competition with Kaggle that you can see here.\nYour work in helping to assess potential clients' default risks will enable consumer finance providers to accept more loan applications. This may improve the lives of people who have historically been denied due to lack of credit history.\n\"\"\"","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:28.121059Z","start_time":"2024-03-26T17:22:28.116136Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"execution":{"iopub.status.busy":"2024-03-30T15:07:51.063870Z","iopub.execute_input":"2024-03-30T15:07:51.064140Z","iopub.status.idle":"2024-03-30T15:07:51.072026Z","shell.execute_reply.started":"2024-03-30T15:07:51.064116Z","shell.execute_reply":"2024-03-30T15:07:51.071070Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"target_comp_desc = f\"search_query: {search_comp_desc}\"\nsearch_q = target_comp_desc\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:28.686726Z","start_time":"2024-03-26T17:22:28.683406Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:51.072808Z","iopub.execute_input":"2024-03-30T15:07:51.073049Z","iopub.status.idle":"2024-03-30T15:07:51.089265Z","shell.execute_reply.started":"2024-03-30T15:07:51.073028Z","shell.execute_reply":"2024-03-30T15:07:51.088413Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#doc_embeddings = model.encode(df_comp_meta[\"embeddings\"], convert_to_tensor=True)\n#doc_embeddings = embeddings\ndoc_embeddings = torch.stack(embeddings, dim=0)\ndoc_embeddings = F.layer_norm(doc_embeddings, normalized_shape=(doc_embeddings.shape[1],))\ndoc_embeddings = doc_embeddings[:, :matryoshka_dim]\ndoc_embeddings = F.normalize(doc_embeddings, p=2, dim=1)\n#print(doc_embeddings)\nq_embeddings = embed_model.encode([search_q], convert_to_tensor=True)\nq_embeddings = F.layer_norm(q_embeddings, normalized_shape=(doc_embeddings.shape[1],))\nq_embeddings = q_embeddings[:, :matryoshka_dim]\nq_embeddings = F.normalize(q_embeddings, p=2, dim=1)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:42.270600Z","start_time":"2024-03-26T17:22:42.247109Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:51.090277Z","iopub.execute_input":"2024-03-30T15:07:51.090527Z","iopub.status.idle":"2024-03-30T15:07:51.184264Z","shell.execute_reply.started":"2024-03-30T15:07:51.090505Z","shell.execute_reply":"2024-03-30T15:07:51.183417Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"q_embeddings.shape","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:43.718787Z","start_time":"2024-03-26T17:22:43.714971Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:51.185384Z","iopub.execute_input":"2024-03-30T15:07:51.185674Z","iopub.status.idle":"2024-03-30T15:07:51.191115Z","shell.execute_reply.started":"2024-03-30T15:07:51.185632Z","shell.execute_reply":"2024-03-30T15:07:51.190221Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Find Similarities\n\nWith the embeddings, we can now perform the similarity search. And re-rank after on top of that for added accuracy.\n\n### Brief look at the docs we are searching over:\n","metadata":{}},{"cell_type":"code","source":"df_comp_meta[\"search_doc\"][:10]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T19:45:50.338767Z","start_time":"2024-03-26T19:45:50.332690Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"execution":{"iopub.status.busy":"2024-03-30T15:07:51.192318Z","iopub.execute_input":"2024-03-30T15:07:51.192667Z","iopub.status.idle":"2024-03-30T15:07:51.202404Z","shell.execute_reply.started":"2024-03-30T15:07:51.192620Z","shell.execute_reply":"2024-03-30T15:07:51.201703Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#df_comp_meta[\"search_doc\"][:3].values","metadata":{"execution":{"iopub.status.busy":"2024-03-30T15:07:51.203466Z","iopub.execute_input":"2024-03-30T15:07:51.203759Z","iopub.status.idle":"2024-03-30T15:07:51.211298Z","shell.execute_reply.started":"2024-03-30T15:07:51.203736Z","shell.execute_reply":"2024-03-30T15:07:51.210454Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Similarity with Embeddings Only\n\nNow for the actual similarity search with the embeddings only:","metadata":{}},{"cell_type":"code","source":"similarities = util.cos_sim(q_embeddings[0], doc_embeddings)\n#[0] = the similarities for the first (and only) search query. [:10] just to cut for show the first 10 similarity values.\nsimilarities[0][:10]\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:23:43.113099Z","start_time":"2024-03-26T17:23:43.096649Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:51.212238Z","iopub.execute_input":"2024-03-30T15:07:51.212508Z","iopub.status.idle":"2024-03-30T15:07:51.442972Z","shell.execute_reply.started":"2024-03-30T15:07:51.212485Z","shell.execute_reply":"2024-03-30T15:07:51.442054Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Get top_n count of search document with highest similarity.\n- top_k_values will be to similarity scores for the top k documents.\n- top_k_indices their index in the dataframe rows.","metadata":{}},{"cell_type":"code","source":"top_n = 527 # the dataset has 527 competition descriptions, i try with all of them here to get a broader overview\n#top_n = 20 #if we want to try re-ranking with a subset\ntop_k_values, top_k_indices = torch.topk(similarities, top_n)\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:23:52.624940Z","start_time":"2024-03-26T17:23:52.598479Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:51.444188Z","iopub.execute_input":"2024-03-30T15:07:51.444478Z","iopub.status.idle":"2024-03-30T15:07:51.534845Z","shell.execute_reply.started":"2024-03-30T15:07:51.444452Z","shell.execute_reply":"2024-03-30T15:07:51.533821Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"top_names_embedding = []\ntop_k_descs = []\n# the top_k_indices is just a single list inside a list\ntop_k_indices = top_k_indices[0]\nfor idx in top_k_indices:\n    comp_name = df_comp_meta.iloc[int(idx)][\"comp_name\"]\n    top_names_embedding.append(comp_name)\n    comp_desc = df_comp_meta.iloc[int(idx)][\"desc\"]\n    top_k_descs.append(comp_desc)\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:23:57.708219Z","start_time":"2024-03-26T17:23:57.613881Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:51.540247Z","iopub.execute_input":"2024-03-30T15:07:51.540540Z","iopub.status.idle":"2024-03-30T15:07:51.649422Z","shell.execute_reply.started":"2024-03-30T15:07:51.540515Z","shell.execute_reply":"2024-03-30T15:07:51.648702Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"del embed_model","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:24:02.027423Z","start_time":"2024-03-26T17:24:02.018307Z"},"execution":{"iopub.status.busy":"2024-03-30T15:07:51.650444Z","iopub.execute_input":"2024-03-30T15:07:51.650727Z","iopub.status.idle":"2024-03-30T15:07:51.661881Z","shell.execute_reply.started":"2024-03-30T15:07:51.650703Z","shell.execute_reply":"2024-03-30T15:07:51.661119Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import gc\ngc.collect()","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:24:03.165372Z","start_time":"2024-03-26T17:24:03.047101Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# a better look at some of the top docs\ntop_k_descs[:3]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:24:03.965932Z","start_time":"2024-03-26T17:24:03.962697Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Rerank with Gemma 2B based re-ranker\n\nNOTE: I HAVE DISABLED RUNNING THIS PART SINCE IT EATS UP ALL THE GPU TIME AND THE RESULTS WERE NOT THAT EXCITING. HOWEVER, I KEPT THE RESULTS HERE IN FORM OF SCREENSHOTS. THE ACTUAL EXECUTIONS ARE AVAILABLE IN THE FIRST PUBLIC RUN OF THIS NOTEBOOK.\n\nAs shown above there are 527 competitions in this dataset. The normal approach would be to search those 527 competitions with the embeddings search above, and follow that with a re-ranking of the top selection of that full set. However, I am also interested in seeing how well the Gemma 2B based re-ranker does in general, so I will just run it on the full 527 competitions here. It's not a huge dataset, even if it takes longer than one would like in most real applications. But I believe this way it illlustrates better the model performance.\n\n### Default prompt given in the re-ranker model example code:\n\nA set of helpers first to help re-rank with Gemma 2B later, along with the default model prompt defined in it:","metadata":{}},{"cell_type":"code","source":"import torch\nfrom transformers import AutoModelForCausalLM, AutoTokenizer\n\n# the code in get_rerank_inputs in practically from the model page at\n# https://huggingface.co/BAAI/bge-reranker-v2-gemma\ndef get_rerank_inputs(pairs, tokenizer, prompt=None, max_length=1024):\n    if prompt is None:\n        #this is the default prompt given at the model page\n        prompt = \"Given a query A and a passage B, determine whether the passage contains an answer to the query by providing a prediction of either 'Yes' or 'No'.\"\n    sep = \"\\n\"\n    prompt_inputs = tokenizer(prompt,\n                              return_tensors=None,\n                              add_special_tokens=False)['input_ids']\n    sep_inputs = tokenizer(sep,\n                           return_tensors=None,\n                           add_special_tokens=False)['input_ids']\n    inputs = []\n    for query, passage in pairs:\n        query_inputs = tokenizer(f'A: {query}',\n                                 return_tensors=None,\n                                 add_special_tokens=False,\n                                 max_length=max_length * 3 // 4,\n                                 truncation=True)\n        passage_inputs = tokenizer(f'B: {passage}',\n                                   return_tensors=None,\n                                   add_special_tokens=False,\n                                   max_length=max_length,\n                                   truncation=True)\n        item = tokenizer.prepare_for_model(\n            [tokenizer.bos_token_id] + query_inputs['input_ids'],\n            sep_inputs + passage_inputs['input_ids'],\n            truncation='only_second',\n            max_length=max_length,\n            padding=False,\n            return_attention_mask=False,\n            return_token_type_ids=False,\n            add_special_tokens=False\n        )\n        item['input_ids'] = item['input_ids'] + sep_inputs + prompt_inputs\n        item['attention_mask'] = [1] * len(item['input_ids'])\n        inputs.append(item)\n    return tokenizer.pad(\n            inputs,\n            padding=True,\n            max_length=max_length + len(sep_inputs) + len(prompt_inputs),\n            pad_to_multiple_of=8,\n            return_tensors='pt',\n    )\n\ndef gemma_rerank(pairs, rerank_prompt):\n    if on_kaggle:\n        bge_gemma_tokenizer = AutoTokenizer.from_pretrained('/kaggle/input/bge-reranker-v2-gemma-model/bge-reranker-v2-gemma')\n        bge_gemma_model = AutoModelForCausalLM.from_pretrained('/kaggle/input/bge-reranker-v2-gemma-model/bge-reranker-v2-gemma')\n    else:\n        bge_gemma_tokenizer = AutoTokenizer.from_pretrained('/mystuff/llm/bge-reranker-v2-gemma')\n        bge_gemma_model = AutoModelForCausalLM.from_pretrained('/mystuff/llm/bge-reranker-v2-gemma')\n    # this appears to get the \"yes\" token id to later check its probability\n    yes_loc = bge_gemma_tokenizer('Yes', add_special_tokens=False)['input_ids'][0]\n    bge_gemma_model.eval()\n\n    all_scores = []\n    for pair in tqdm(pairs):\n        with torch.no_grad():\n            inputs = get_rerank_inputs([pair], bge_gemma_tokenizer, rerank_prompt)\n            # and this uses the \"yes\" token location in the logits to get the score. or so i would think :)\n            scores = bge_gemma_model(**inputs, return_dict=True).logits[:, -1, yes_loc].view(-1, ).float()\n            all_scores.append(float(scores))\n    indices = range(len(pairs))\n    del bge_gemma_model\n    del bge_gemma_tokenizer\n    #sort scores and pairs so the highest score is first\n    all_scores, pairs, indices = zip(*sorted(zip(all_scores, pairs, indices), reverse=True))\n    return all_scores, pairs, indices\n\n# if prompt is given as parameter, it is used as custom prompt. otherwise the default one is used\ndef gemma_rerank_question_docs(question, docs, rerank_prompt=None):\n    pairs = [[question, doc] for doc in docs]\n    scores, pairs, indices = gemma_rerank(pairs, rerank_prompt)\n    sorted_docs = [pair[1] for pair in pairs]\n    return scores, sorted_docs, indices\n    ","metadata":{"ExecuteTime":{"end_time":"2024-03-26T17:22:45.507942Z","start_time":"2024-03-26T17:22:45.496035Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\n#prompt = None\n#scores_gemma_default, sorted_docs_gemma_default, indices_gemma_default = gemma_rerank_question_docs(search_comp_desc, top_k_descs, prompt)\n\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T18:11:47.196740Z","start_time":"2024-03-26T17:24:04.885652Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![Screenshot from 2024-03-30 13-03-12.png](attachment:f9f16f41-fbe0-4234-be3f-15822763cf2d.png)","metadata":{},"attachments":{"f9f16f41-fbe0-4234-be3f-15822763cf2d.png":{"image/png":"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"}}},{"cell_type":"code","source":"#len(indices_gemma_default)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T18:11:47.200758Z","start_time":"2024-03-26T18:11:47.197941Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# disabled since i disabled the gemma re-ranker for competition descriptions due to GPU time\nif False:\n    top_names_gemma_default = []\n    top_k_descs_gemma_default = []\n\n    for array_idx, gemma_idx in enumerate(indices_gemma_default[:20]):\n        # top_k_descs was used as the docs above, so need to re-calculate the index to get the correct description\n        idx = top_k_indices[gemma_idx]\n        comp_name = df_comp_meta.iloc[int(idx)][\"comp_name\"]\n        top_names_gemma_default.append(comp_name)\n        comp_desc = df_comp_meta.iloc[int(idx)][\"desc\"]\n        # check that the index was recalculated correctly\n        if comp_desc != sorted_docs_gemma_default[array_idx]:\n            print(f\"mismatch at {array_idx}\")\n        top_k_descs_gemma_default.append(comp_desc)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T19:54:38.220340Z","start_time":"2024-03-26T19:54:38.202530Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#len(top_names_gemma_default)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T18:11:47.227446Z","start_time":"2024-03-26T18:11:47.225159Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Gemma 2B based re-ranker with a custom prompt\n\nFor comparison with the above default prompt, I trialed running the Gemma 2B based re-ranker with a custom prompt. The model page example uses a prompt that asks Gemma to rate two passages where on is a question and the other is a potential answer to that question. This was an attempt to change the prompt to instead compare descriptions.\n\nI commented this out in the end as it takes a relatively long time to run this across the 500+ competition descriptions and the difference to the default prompt results is not big. But the prompt I tried is here:","metadata":{}},{"cell_type":"code","source":"%%time\n#prompt = \"Given a passage A and a passage B, determine whether the passage B describes a problem that could be addressed using datascience solutions similar to those applicable the problem described in passage A. Provide a prediction of either 'Yes' or 'No'.\"\n#scores_gemma_prompt, sorted_docs_gemma_prompt, indices_gemma_prompt = gemma_rerank_question_docs(search_comp_desc, top_k_descs, prompt)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T19:01:21.338996Z","start_time":"2024-03-26T18:11:47.228062Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Compare the Top Selected Competitions / Similarity Approaches\n\nA look at embeddings similarity vs Gemma 2B re-ranking the entire set results together for easier overview.\n\nEmbeddings vs Gemma 2B re-ranked in a dataframe:","metadata":{}},{"cell_type":"code","source":"#df_compare_ranks = pd.DataFrame({\"embedding\": top_names_embedding[:20], \"gemma_default\": top_names_gemma_default, \"gemma_prompt\": top_names_gemma_prompt})\n#df_compare_ranks","metadata":{"ExecuteTime":{"end_time":"2024-03-26T19:47:19.635454Z","start_time":"2024-03-26T19:47:19.624925Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![Screenshot from 2024-03-30 15-50-57.png](attachment:f277ea2e-9028-4209-b93a-3753afd76bb2.png)","metadata":{},"attachments":{"f277ea2e-9028-4209-b93a-3753afd76bb2.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABYwAAAMsCAIAAAB4AXFYAAAAA3NCSVQICAjb4U/gAAAAGXRFWHRTb2Z0d2FyZQBnbm9tZS1zY3JlZW5zaG907wO/PgAAIABJREFUeJzs3XtcE2feN/5vTR1LE7SJugnKwXJQRESwFApKPdUDWy1dvfGni7fe+sjianE9oNVqtdp6rKdK8ZbFl6z+ZOWR1ZWqxZZFRVEaRAMIgUpACSihhaTIZKnjpj5/BDCBAOEc9fP+SydXZq65SD4z+WbmyitPnz4lAAAAAAAAAICe1qunOwAAAAAAAAAAQIQiBQAAAAAAAABYCBQpAAAAAAAAAMAioEgBAAAAAAAAABYBRQoAAAAAAAAAsAgoUgAAAAAAAACARUCRAgAAAAAAAAAsAooUAAAAAAAAAGARUKQAAAAAAAAAAIuAIgUAAAAAAAAAWIRXW3646H4pETG9e3dLZ7oK9+QJPf97AQDQFZCQAADmQFoCAHSQPkjf6GtNRP1FbzTXrJUiBRHRU/rtt986r2M94SkRPf97AQDQFZCQAADmQFoCAHTQU6JXWm/VSpGC6d37t99+G9C/2SLHc6Gy6hciet73AgCgKyAhAQDMgbQEAOigyqpfevVqfcYJzEkBAAAAAAAAABYBRQoAAAAAAAAAsAgoUgAAAAAAAACARUCRAgAAAAAAAAAsAooUAAAAAAAAAGARUKQAAAAAAAAAAIuAIgUAAAAAAAAAWAQUKQAAAAAAAADAIqBIAQAAAAAAAAAWAUUKAAAAAAAAALAIKFIAAAAAAAAAgEV4tac7AAAAAG3DacpKH6ofW4kdHMR8Xk/3BgAAAKDzoEhhEbiS9HOZFYyD3wxvcbdssCLjn+mlJPb5wM+u9bPbxo25glOffnFKMeD3m7YuGtW3y/sKAPACaVP8mlJbfO6rPX+7VqYlImJGhcXs+kDYqT0kIqJHBZeTC9R814nTXLtg7QAAAADNQpHCIjzJvxBzNIc/0babihS64svHj14mb9EUPzt+mxuXSq9kazjSpKYVLRrl1fW9BQB4YbQpfk3QZhzaEnVNQ3zbUaMdRTprH/+uqSFocv5x7ESR+EPPya7C+mKKpqSgnGVEjo4Sqy7ZJgDAiwfJCdAOKFJAmzl9sGjBT98q+0+e5dHTXQEAeKno8m9INcQTz9p8IHQE073b1qRFrY3KE87YcWwZwh8AwCxIToD2QJEC2k7oPXeNd093AgDg5cP9u+YJEc/RzaWbKxQAAAAA3QRFCjNx2odlJZVcn35iia3QxCxlWq2GI35fPsMjqtWUlpTWkMjG0VbIGKyhrKxEzfUZYOc0qJVrfLVlxSVqjvqJnR2ELZ2H6rSqklJ1LfURtrbOWk1pSYVax4jtHCWtziLRamMdp32k5Xh8Yd/63nFajZZjXhPyrYiI05SVlau5Pv3Edi31Xz+kLPWzq9tNo5UAwPNDn0Us9RHbOYn5RMaRaLJx88HFPdJodQxfyGeeTQ9p5+xoECZ1a2CsB9naNcoYfTrVPZu0D4tLKpukbq2mtKSihgQ2DrbC5tOGqywrrVA/5ols7GyF7bkvw2hz5sZvS4PDaTVarrbmiY6I96RGo9EwRIY5XN9KVVaqZqnPADu7QfzGCdw0vRueZzDsTXFajZarYDki4li1RqMhomYbA0Dz2nLy06Vp2eGnP1tPx9PS8JCh06qKSytqSSS2sxM3WZ1RyHOakmLlz6xgiLfTAKMe1Q2yQOxgKzaRUx08Uph90ovkBGg3FClaxZVeORFz/NuMCq5uAd92zB8WfTTbW2hw8n09csHn13pP23RkStnB3SfSVVxdy2lLPlkx0Vabd3bfwf97XT/NGRHfZfJHEWETbE1kFFeRHrPj4LnCupaM0HXi3CWh7zs2DmldRcbJ6JhvMkvrGhIzyGNGyJIF45usVFtw7vDhv6cVa/Rd4vHd3l++dn4z+2pm47Kza8NPFIk/jDq8yIlHRKRJ3jH3UI5k1u6ogIJ9e05cL+Pqe+U9d2n4XK/Gt0yrbpw4FHs24+GzZgtWr55YpF/Jgb8tcmymfwBgYXSa7NOHv/5HemlDaHl8uG7tbDZ6wefXek/bcnKF4UVX5gSXLicmfOO5R94fH130+Oj2mEt1uckM8gtdv3qGI5VejN55LLnoUd0K7MYvXPfR+04NZ5D6dHJZFLNa/M3eg+cK6p4t9Jr96drZbvyK60f2fn2xoC7iGLHP7PCP53oYB6y26OKJY6eTGwKKeHw77/dDl87zMToJNkOb4rfVwSk7u3bpiSKdvnHmgUULiIiEk3cdCx+lPxhVZp6MPfHNjfrN6Y8g85Ysneb4bHibpHf91nNiwjee07iGxuyeZWJmJM13XyyIyqnbq8tfLrhMRIz3xyc2TehI+QbgJdOGk59uSMsOPp2oE9Oy/iz62AI6sTPybLambjnf8d0/LvnzrBEGQdMQ8sv5p/ccvVisJSKf8JNbp+nbcKWXYr8+kZzdcNJuJfaZ9t+hIe/aGfa8Y0eKhpPev077KWbH/54rNjhpn7ckdFrDSTuSE6D9eJ999lkLDz+qYZ8+ffr66691V3+6xL9rfyWidu0FJz+x8ePotPtansTDZ6zXcOf+TNWD4ruy1EuFfX3fHdqvV1270rRTV5U8EXP/n2dzrEb6jXtr6BtcxYOfqxQZ2dV9td/sPyZ/ffhYf29XGx6rqtT8XHz9Njd6mtfA+nPEJ4pLpzIqGBuh5tzxc+X9Rvn5+4x0GmylVZWU5N+8dOuxx3ivAQaHpbJzm1fvTi559IrQzdvnnZFDB/bRPiwuzr1xJbvX6AkjDYon2pyYNZuPZVX++pp41Bh/nxFOA1/V5KZdynoifLWw4AENGjtz3JtM2xtX532blKMRuL4/3UvUi4jo18JLp29WCMRM7t9P3e7l8o6/r6dTP53mYeXPD7PTC6x8J7u98WxMVRe2rtyXXFTDE7p4jffzGm7Xj7uf+a/UEsHA2uyCSoHbtA+bFDUAoOt0ICE11/ev/fRswaPf+E5v+Y31cnccSA9yUr+7Q5LeBbkPeM4T/uudQfVtzQyupxU3Ey/d/fcAa82FE+m/ufn5+wwTv/roJ1VFyc2bqn50eV9Mxm9DfcZ6D7cTcD+rNJX3b6VXDgn0t6tLMn06WVs/SUv4l2bIO2N8PQdbPVI9rHyQk1bMez33yJ6UR47eAe+MsH3jt8oHlZoHOdL7/SdNcG44e9VmRK/Z8P/fUtbwJB4+E/y9Rzr9jqlR3i3IuZzxaORkb0lvs8emTfFrzuDoah89Ymzsmar7lb/yxKMm+Hs5OzkPHfWWt0M/Iiq7sGnlvm9/1Pza19EnwP+dUUMd+ul+uleY+8O1ojcCJgwVkOH4GKQ3GQ77rwPe+mCym6Bpy99+rX70qlDw+EHFIx1JPN4d6zHU2WnEKJ+hA/Hrp/Ay6UBatuXkp3vSsoNP78S0rD+LtrN78u2R03f7uL4zxtdzqM0bv1beL1HcTk2rfnOST0NxRh9Nr/PUV85eVgmcRri7OQ16c4S/py1DpJUfW7/qSMbDX1+zG+nt7z3KWWL1+GFx/p0bl2S6keM8BjZ0qWNHirqTXgexKuHwuZ9E+pP2gVbahyUlP2ZcuvUfj8meA3hEREhOABP+XfvrK6+80rv3q0T0ulWzcYorKVrC5cTuPlWg7euxYPP6ua71Zc/K9AMb9l7MjP36G+9dfzD8ykmbcal0xoZDy3z1h5l51/eu/fxS2blDJyTj1x9Z5Vd3VKlI/nx15PWHyedk89x8ja570N44+53D+1sPhzVUoDWZ0Ru3XSg6u/dv3lHLPOoaF53aEyPTMi4fbty8yKf+iKbNOfrp1rPyk3tOeh9a4FLX/eyjkadLOMblw883LxpV31J1LfLTfWczOCKjjbepsWmqK8m9p206trT+GhNtwbENG08WFvzjH5kzVnvXreDh2f1HMjU84Zil2z6eVn/MqS0+vW1DzD+1zawYACyR5tLhfZcqqK9H6Nb1s1zqEpIrS961IfJkAREZnaKaHVxERKTLuZjj9/HB9RP0NQ5tQcyajadLrkYd4fssPbD1fdu6DkgjV25LVqUlXwv1m2Z4J0Xx1Wtei6J2f6j/6owrPrVu7Qm57ESUleuC3V/MrZvNQSs/tmHdqeKMi8mqabMl+icW/jPmQhnH2E5bs21Fw69mcMUn1689VpD89+TZo8z9sc+2JapZgyP0nrvCm2qvfn6j4Do5frAifIxBQfrysRMZj4jvtWj3hg8bvurUXNuzdOfVjFNns6eFjerQOTF/1KzwUaQ5V7EgKk/49twITP8G0DZtOfnp1rRs99M7LS0baC+fOCUZH/HXv7wrqRsgrfzElk9PFpyL/N+33SN8DK8+KMm86fLh1h2LDC/Z0GYe3X2qmLNynLth2wKvhqsZcmI2bT1deGp3rMdfl3oYRW+7jxRERKS6eOI7h/e3xoQ1/I000ui1Oy8Und57zDsqdASD5AToiF6tN3l5aS6dSlbp+BOWGlQoiGiA39Llv5fwuOyLF+quvK0nnLgo1LchlIVj/jDOjkfEc50x3+/Z5Q3iybP8hURaZclPjTfIs52xfKFh4Aq9w9bNciRdxaWzP9QdxGrT//FNMWflEbr+2aGLiPgei1bOdiRd2cULmXWXuD1KPZ1aQYzj3Ihnp8hEJAkIWzmtyeW8bWrcnAGTPwozuAuG7zp33jghkaYgp7R+oOTfXsjmSDgufNU0g0sWrRxnrVjkg6koAJ4nZZe+SdcS32fR6oYKBRExtpNXhb3b+OTU/OCqX43PvOUTGq7C4Lv+1zRXIiLbyQum2TY0Evr+YaoDEVda+tB4czzXPy79sOHiXsbxw1leDBEJx86e9Wy+Sb7bB5OH84jKlMqGJHeZF3X4i083bV5h+LuejOMHk12JOEVhkXkj08ZEbfPgNMWfsO5I1Kb1u9d+aHgxttB/+kQxkSZfUWFuxwGgK7Th5Keb07LdT++stDQ0YPLKjxoqFETEd5u3+n9GMKT54fQVjVFLnuOCiEXGN5VoLp1OVRHjFrL+WYWCiIQeoevnuTGkSj51qdJ4c+0+UtQ93XbWyjDDv5HQN2zdh7akq7h47ha+dgPoIBQpmqe9cyOPowHjp/k3vnWMcfUfM4CovEBunHcursONarR9hSIieu13dsb35lkLhUTE1TY57bT1n9Zkwna7yePdeKTNzcjjiIi4vMyMR8T3fn9qkxNdO39/Jx5p8gv0FQEuNzOvlsh1ssFRpq77bhPH2Rl/q9amxs1hhnsY7z8xQxzteUSstqpuQVn27Qoi4dhp3o3HdID/BC9MJATw/NBkZxQT8T2mjm1ckeD7Tmm0zPzgqsOzHT7cKCT4ffkMEUnsJEZxxBcKiIjV1hqvdIDrcKMNMYK+fCKyGWRnHNEiEY9I92+twaaZQR5jvBr3kuOIIXqi/XdrxYL69m2K37YOjkk8vpOvn1OjiTk5Tn/cYHG+DNCT2nDy091p2YGnd0paGpL4Tx7V+Psq8cTJHgxx+bfuGMXYAI/hNsYNH2XeLODIymPGpCYDN2jyFA+GuIIbMuMo7MCRgojIYfxEF2rEafIUNx5pszPzWg1tAGgRbvdo3kOFUkekzT59IPJyo0/pOrawlkinUWmIngUcQ0xb7sBrgrF3EjctBwxwdBKSXPNTaSX5DCJ1SamWiO5e2H8gs0+jlk9K1TqiKlUVkRORuqxCSyRxcjJxvZ2Dkz2PSg0WtKlxc3q/1rtxmYFhiIh0j+v+qytV/kTEc3Ia0vTZfGfH39GNMjO2AwAW4GFFhY5o0HCnptdA8ezs7YgMvvcyP7jqMSbT1EQhU5+Zjb/gosZbMWzcVKOn67Sqgpz8olJFmVJV8ZPqYWnpQ615N73VaVv8tnlwmsVVFufnFinKikvLK8pVqorSMpW2+b0GgO7RlpOf7k7LDj69w2lpuE17R7umS/lOjmJeZqlKqdbRsx/XaxryD0uVOiJbV2cTP6LEH+HyO8osKy+tIDKYnbRjRwr+EFPdFTva9yX5o4oKDVFb51oGAAMoUjSP1T7WEdWWZVxq7pMzx9U280i7mPiQT0QkELxGRCz3hIhIW8sSEVXkXE5uZi26J09I35IjIv5rAhNteL2texM9ebagTY3bT/eE0xHxelubmiSlN2Nq6wBgmTjtYyKy6m3qJI8RMMYT7pgdXD2NK70Yvf9EsryhwsJjhGLHtz0013PacMtEG+O3MwanMvPkoeiT0opn317yhU5Dvd3uZ8ofmd9xAOgCbTn5ednS0lDv10z96MVrAmsi+pWrafnJtdrHOiIB3+SppH4x+yvbvo6ZxFiZLMUwfCuiRyzXjitJAMAAihTNs+L3ISKHD3d98r64mdtirDu1Svrk1yemys8sqyUiAfMaERGfYYhIODFi99xhzVy2wYh4RER8K4aItFpTicz9u8b4ENemxu3He936NSKtVv2IqMk3jNpqjannAIBFEvAFPNJUa1gT72ZWzXKGE2eaH1w9S3vt4NrIqxoe323i+1P8vEcMEYvFQoZHdGPHB2057W5b/HZ8cHTFJ7fsPFbMMYO8Z/1+vI+7o/2g3wn5DFHZyXAUKQB6WltOfl62tDTAPflVS9SkTqFla4joNca65b3Wn7SzWlOHJP1i6mOycNxenNZkHUK/KQGDedYAOgZFiuYNsrNnSKXRPv6dWNItsyVw94pKdX5OjVK4orjoEdFrv7MTEhGJbG35VKzVkmiQuOVfWda3VBUVaci1cV6XKYp0Rteztalx+/Hs7AYRFRRl5WpnBDTqfoW8AHO7ATw/Bjnb86i0vCCrkhpNu0PaH+UlRgvMD64epc24/IOGyG3el/tmG00m0dbvxNoRvx0anOIrl0o4Er778d6IMUbz9nNckxthiIh0Tx4bLyZOq8a8FQBdpC0nPy9bWhoqLCyiyY1/AENTVFChI0ZiL2r5yfqT9vIChZbsGg+cNq/wJyLG3s7smeDNoL1XUEreje/4KC8u1BLxxfYm7joBgDbAxJnN6+vxtgtDj258d6PJuVtt8eV/JmcUazr5Yq7y1EsFjVdZlPy9XEd8d58RDBER4+7jySdO9v2lpp/oy9LPXUwvqqxbA+M+aoQVUUHyxZJG7bjs5HSV8Zlrmxp3gHiMvytD2pun/llkvKNa2dnTBZ21FQDoevyRY70Y4nJOn8oxjkiu6J9nbhrfCmd+cPUojq3liIT2Lo2mu+Ty7zSJ5ha1MX47PDjsE1ZHNGi4W6PT4sp8ebnxkr7C/jyiyvxs4+WatOQss+9efIIJ4QDapg0nPy9bWhrS3Pg+o/EZd9ml5AKOmOGeI1sp2fT1eNuVodqciylNBu5h8vc5HDGub3t1atmnLPVi433l5N9fKdIRf5S3c5Pv9pCcAG2CIkULxBNnvSMk7fXoHScLDFJTp7kevWfXkchN+y9UdG7i6CrOHYzOMPjFEI00eufZMuKJJ374Tl2y9n1n1hRb4nJidhzNMLxC8FHOsT17oyJ3fH6qPjL7jps1Tky64pN7og1bqq5F77/YJMHb1LgDJL+fN3UQccWnNm48ejmvQssR96gi+2Lk2h3Jj4UW/J0BADQmnDBvthNDqgtb1x64kF2m5XSctqLg8tGtG09rRI2uHzA/uHqS0H6QkEiTlZZpeJ6suhb9dXIbb0ZrW/x2eHDsbO0ZouL0NMMJlLQFJw+cyG70zL7DhzsQ6Yr/cfBEdt1tIFzpleiNMTlPWr9cjhEIGCJNnswS/lgAz5M2nPy8bGlpSHP10KGrBmVcbfbRPccKOBK+M2uSiWmIjYknzhonIS77xN5jeQadepRzbO8JOUeSibOndu5MlrqKcwdjDf9GmhvR+8+VEU88bcZbBn9UJCdAe+B2j5bwff+87g9ln/4z59jqBd+NeMtziKi3Tq2U3cqu4MjKce6y2Wb+NqeZJJPnjbl7atOSnFG+3s5CUt/PzpCVaYlxmhX+Px4NN5wwbvMjQu9uiMk7u2lRqpvXSCexNT0qzbqZU6olZtDkpfMamjKjFoXPyt96uvjCprBsH99RdgJOfT/neo7GbvaiaZeOXjS6UblNjTvAyiN0czi7Jfpy3tlda882LBYGhK+0vbDpZHEnbQYAup7j7C9WVWz8KrkoOfrj5Oj6pfxRi9ePzdgYZXSman5w9aRRH7zvlnpCfnHr4rt+vqPshKRV3c28nsc6ezkysjalU9vit6ODM2D8rLGnsi/lRK0ITfPzdhvQm9OUZUkzi6w8Rolzso1+Ktv2g9nvfrPzqibv1McLku1shaQpK9WQ06zZE1NPXGzlwwXfZ8I7QunV0tMb56bbSoTef9oxb5QF3BsP8Bxow8nPy5aWz/jMms1+u+dPoefHeDmJeDWlubcySrTEiKeF/9nHjK+x+N6L1s4qWne64OT6xWleb3naiai6OEuaU6olxmX22sWdPG78gNkT753dFJY56m1vZyGpizIzciq0xDjNXr1ghOGmkJwA7YEiRcv4oxbv3u8Q+9eTydl56RfziIiIx0i83p+zaOE0x84+TFh5LNhsR7sPnr5yIVu/pK/jtLlLQj9wNQpnxnHWFwckJ6P/diFTLr0qr1sodJs8e/Gi940u9+V7hO78QhJ9+G/XijMulWUQEU/o9od1n85l/n6p6b62pXEHMLaTP47ymHYp+fKtgnI1+8TKdrjf9P+a5sqeutCZmwGAricMCI9yn3z5YnJaQYWmmus90Mln6oezvJmLt5o0NT+4epDD7M830b6oU9eL0y8WpxMRWYnHLNr80e/+uaCtp91tStSODg7fJ3zbx1YH/5pckH2p7vAhdH3/05WTlbtWGBcpiO+/fPcK669PJGdXaEqLNcS3HbNgyaoP6W+pZuxTwPIvHtG+E1eLHhYXVXDysnmjHFp/FgBQm05+Xra0rMPQkD98uo52Rp69fLHuHhi+g98flyyZ5WHmlbZ8t0W7o+xivz6ZnJ15tTST9L0a9cF/fzT/XbtOn8nyNdfQzatp98Fz9SftjNBx2tzloe83/niA5ARoh1eePn3awsOlD1S//fbbgP5vdFuHukJl1S9E1MG90D4sLqlkyUokGmQr6eL7ErRlxSVqlgR2Dg5CfgvVVp1WU1ZaXk0kEDo4iFtqqa0oul/BkkBs5yhp9fDWpsadp+jY0mWnyuxmH4hZ4Nh6awDoJJ2SkMY059YuiMrjT9tycoV3kwfND64ew2lKipUq9rGVyMXFUWh8alt0NHTZ6ZZugvNZcXLrZIODRJsStYODo60oKiqtqmUEg53cbFs5UGkrK2o4RqSfkL9NdJym4qfHjFAyAPfowculC9KyxZOflyYtr+/8r8+vkc/qv2+dyJBOqyouraglwQA7p0HtCxlOW1ZWombJSuzgIOZ39leKmgsb5x7K4U/edHqFNxmctDs7tBinSE4AIiKqrPqlV69er1u9RkT9Rc3GKa6kMBd/kKPboO7alq2jm23rzYjHFzo0mTre9BrFTiPMntO4TY3bjivLzOI8fBoXmjWFxT8RkUho1g4BgCVQZaarh/u5NTrjqi2QlxLxhEKTs7GbH1w9hhE6uAqb+6ZLIJYM4Br/OobBc0WvGS9oU6J2cHD4YicPsZOZbQe097cDeIxwkDmHKAB4pj0nPy9bWurx+BIXV0nHemXuiXRnMPukHckJ0AYoUkC34vJOrNx4qojvHbpx9axnd7Foi76JPJbJEePq423Zh2MAqFf6z7UrjhSQ6+yP18/zaZiQrLbs8qGjlx8R2fqPfRGvaHWa/cXfZvd0JwDgufJynvwgLQGg3VCkgG7FuI6f4ZV8QJoZs3rBOVeP4XbCPk80yvwceQVHxB81b8mM7rpcBQA6yC7gDwHf7r1YcGpTaLKTh6uLUPD4Uakit6BUS2TlOHf5H5ws8eJkAIDuhpMfAIA2QZECuhfPdtqGA/YXTh07dyW7IFOlnxqJx7fzeGfih/89y1dsCXNWA4BZBvitOLDb9eSJ0yk5RZnpRfqFVmK3gHGz5s4e44B3MwAAEeHkpxW9+UJhX47fu6f7YR6G4Qv7CgVWL/kfDaBrYeJM6DHco4oKzRPqzRcNEHb6tEYAYKbOmVq4skKtfdKbLxQNwLsZAF5MnZKWOPkBgJcZJs4ES8f0FdtZyC9pAUDH8AeI+QNabwYA8JLDyQ8AQKt69XQHAAAAAAAAAACIUKQAAAAAAAAAAAuBIgUAAAAAAAAAWAQUKQAAAAAAAADAIqBIAQAAAAAAAAAWAUUKAAAAAAAAALAIKFIAAAAAAAAAgEV45enTpy08XHS/lJ7Sq6/yuq1DXeE//9ERPfd7AQDQFZCQAADmQFoCAHTQf/6jo1fojb7WRNRf9EZzzV7txi71qFeoVy9cNgIA0MQrOiIkJABAa5CWAAAd9IrOnFatFCmY3r1/++23Af2bLXI8FyqrfunVq5fdYElPdwQAwOJUqX+hFovZAABASEsAgA7TB2mrUAwGAAAAAAAAAIuAIgUAAAAAAAAAWAQUKQAAAAAAAADAIqBIAQAAAAAAAAAWAUUKAAAAAAAAALAIKFIAAAAAAAAAgEVAkQIAAAAAAAAALAKKFAAAAAAAAABgEVCkAAAAAAAAAACLgCIFAAAAAAAAAFgEFCkAAAAAAAAAwCK82tMdAHj+1apL7qlqiBn0prPIqqc7AwBgUZCQAADmQFoC1OuWIkVtRcal5JsFpepfe1uL7UeNnTzBVdgd2+0w7l7aGWk5SbxmjndmTDdRpSdcK9H1f2v6RBdB93auU3EPZKnXsnLvlVTVEtPPZugwT7/xvg7dvUeq9IRrJWTjN3OsA4+IiJPHrfk07u7AoG27wkb3a88ay28kpCqNFzGMQCQZ5jrCRdIpu8fmHt+xNU5azhERCcZ/lrB5bBcMm/p2Ysrd2va/zOpeycYYQX8bB7eRbhIBz2h5yZkNa47kMeOXH1w7UWT+NqrlyUl5VYIRU6a7teFZ8DxDQnYvJGRzkJBg8Vh58vm8Kp79uGBfG9MtuJIriekqsvENGvdmM4H6PLDMtKRqaVTEjjNqlwWfb5vv1p7hRVrqIS2h23R5kUJbcHbXjqOOVe60AAAgAElEQVQZlc+WXPznqb9PXv55+LsSXvNPswxcXmJUtIy8w6eMdzb9PtEpkmOjkznnUP/n9hScVZyJ3BOTomB1z5Yln0+IipT4hYSvC/EVddufSadIPhKdTL79A8fqj2clN1JuqzlSp6QWho32rmvF/ay4q+L6SJxdBrZ+mLl7KTYqhTP5kMh54qzFi+b7SjrSZXXSjjWxUpYncPH1GWLF2Uz27JJXga4kNS76jNpt2XiDlxmrKrynfiyQuL/ZeobXvZJNYQZ6zQwLD51kXz+aqvQUaXktUcrVO+ETx5lfyFfLTh6JLZQEvxXo1n2vGehRSEgkZMuQkM8gIV9y+hcAb6zNTF8b0y8A7s6F6KhM8hMEPq9FCgtOSypIO69gOZJ9L1XOd3Ou73AbUgJpqYe0hG7TxUWKh8m7thzNeEQS79lzPvQfIeLKs1PjT16QJ+9Zx7wetdSb37Wbh9aopfsjtpy5xxFP4DI+cIqni00/qlGV5GWlXJGq0mM3LLn3yVebJzZT9e9yLjPDQlXf3B8YOMfr2cKSxO1/jlO6LDx6dL69mesR+YYs8NEnL8fVslUPFLmZslzFpZh1GelzNn8Z5tXeIwF7I1XGErkvPPi/IeZ2ptPkxUWsS1J7hyd+GWRupXnw2NCZ9Tur49hq1d3Ma+k/yuK/iCjnDn4RqD++SqYvCStJyGP8FvnhUkN4ySEhkZBISABzWHZaknfIujk1yWqXmUHOzxa2PSWQlnWQltD1urRIob1+/GjGIxL6R+zf8K7+Bg87B1dPd+G6tSfkF4/+Y7L3Apeu3D60QnV+944z9zhm8MSV2yOm2z+r3E+fszBUGr3hi4TcK3u2DnP+3zndnph6It/5G307vpr+bpNmzjTeBR2be2bP1iNpufFbNgw8+NXM9u0gx/2bIxINdeuh8WkrG6/pM42PQIvDCuM2LD8iSz1yNH38J/qjiGBk8Mcjg3umhwAWBAmJhERCApjD4tOSJxkX9tm4Dq8GaVkHaQldryt/3aPyyjdSLTGuf1z8ruEUFIzj7MXTxKQru3gh0/SFUy8MHVuukOfK5IVKtek95Vi1Ws3WGjS+oyivNm6iVhbekeUqVIaXz5lY0QNFrkxeeE/dYjMj7LWjMVKWBF4rd31ieETRE/mGbVsxVkRcbvyJ1FrTHS6Ry9Kl8vJG+1a3I/LCB2wrPahVl8jlt5vsssGqOFatVlfXb6CWVavVlSxHRBxbpVar1WqWM3t/jfAE7sGfHV49VkTs7djoZLXJRi2NKletVqtV+r7UqNXNdIZTKxW5smb/fFy1Wq1mTbw2WLaZB4ioYVhqOCJ6zOq3ztY207gVjMuchdMHE6kzruY0dIttboVctapQrn+Vmv3e1fe23X8peIEhIVuGhERCAtTRv91kuQqV6Vc+0rLltGyUJ52YEt2UlsT9rCy8I8uVK9UmB6O5VGw+r4iQlmDRuvBKCm1mej5HjNfkseLGD7mNG2f3zalS2a18nfeoF/J2I06VejwyJlFaUh8lzEC3KSHLlwU5G14Jpk7aEnRAZjPn4OG3pFt2J9z+mSMi4gncZ67fttRXpJbG7I6Ml6rq3r4itzmrP1vm3+hSLK4kJTbqSGJ6fSsS2I8LDlvV+r1/6ivfpKmJXILDpw823UI0ft7042nHlRmpMm6cP2PY4a/cUrYeSMpVc8RzDj16uO6yYp0q/Xhk1BmDvR7sNXOh4f1p9Vj5mciDx64o6j6a8ATuQRGbFjfpgTJheWhsoST46LEwFx6VxC+fd7xu2qKShDVBCUQkmL7z7Mft/SpRNGX5guSM/ZnSM0nKyUbX17U2qjp5zJLl8aq6nUn+YnYyEfHs5x8+Gqq/kLBWmRoXHXNeWtJwvLSSjJ6+aN3iiTYNY6GTRYWuOaN2W3bi4BzjOxlT987eeIX81p/dPcXUjamyyJA1SXXHwTux82bFEpHNnMOnwpxNNG4Vz9ndkaEH7MMHaiIR1f+VBYHbktY+G1lWkRRzMO78nYYRYWx8g1euXug3sMWV1yriN0VEZbIi//CDm4McXsg3O7QDElK/10hIJCQSElrBlXwfvS826XbDi8tK4jd90bKFEx0MLqFHWraSlo3ypHNTokvTktjC87Ex8UnpD+rXwBM4+AYtW2EUL82losm8egZpCRasC4sUisJSjshpxHATv+Th6DqCT6WaIkUFjRrUdV3oIZwifl1ElIwlK4l7gNdQEdU8yEuXyc8fWH7n3ubDK3wb37GmStqyJeW+xGu6v+jxg7z0TGVuwpYNTJj7jeh4tb3flCAbXtXdzIzcn+XxWz7pf/jwnDefbSk3NmLNcTlLjI3X2LcGW5O65EamPDV2wx15+MFtLb6H2awf8jjiuU2Z0vylZTzn0GP/Cm26/F7chjPSQiv70f721tTfRn+Y1CnPrFu+P5MlRuTu7zlU1KeqRJZ+Rxb/xfLcB3u+mm8w+T8ri1q+If4eRwLJ6ACvIQKqKpaln9m+gRc0oMVxtXYOmB5Y/lB26baKSOI12UvSh5gRv2vxOa0QTZnsFZUpzZXK1CH29YdrM0aVJxo6PnC6WnXniqyEIxuviW9J+hCJhuon2K+VH4+IiJFzxIjcA3zdBws4teLWDdnthO1L1EzsxrEdnaz4d15TAqlKJUuWqUhgP85/hDWPRMPaP8VSXU2a1/xMXYq4Nctjc2sZ0bCx470cBDp1ofRaujRubQT7VVT46Oa2zCnP6I8ovuEHNwc5PJ8TgUHnQ0IiIZGQhIQEc7C5RyL+EqfgeAIHL5+R9v2pWnlHKktP2H4np+TL/QvdG93qj7Q0Ly07PSW6Ki2JTY9cvvGMkiPGxmusn7MNw1XdzUy7fSNubQn7VUz46A7O9YC0BAvWdUUKbXmlhoiR2Jg6ReJJxAOIHlWoKoleuCJF4fHtUTKWsQ/ctGv1uPrvf1h53IZPYm8n7tg58sQXk4zeheVXUvqH7Ilb7KZfWn5+w6K90ty4yLtvBn11LLzuh+U4Zfy65VEyxZkk+ZylbvoncrLorXFytp9X6PbN893q1/lz2q6I7eel0fvO+H4V3PxUww9K7nNEA0e4t1y5NKVcKnMI/OTUCoOvvIgK47ZHZbLMsOAvtof51cczK4tesyEh9/j2Y75HQ4fV9fp29N74exwzLPjL7WGj61uWX9m7ZkdCOkfUfPSIAhZ+HECFRxSL4pQugeGbzJ4WrgWCEW4OPGmhUnFfR/qqtnmjKpkctnoyqc+Uz95/R+T335+sNJi4rvz84WNyjiRjPza87vFB4tolkelXjp6eMza0nZX6evYTl62dSNK9t2RJategVevNnujIpFrZ7QKOSDTEsdmDQ2pcQm4tOQTvOby0fkTCQs5vWrLrRtKx74NHzzT1MuOUZzZF7M9kRd7hB7fiiALPICGRkEhIJCSYg5VGb41TcFbO87fuCfWufwWqZVEfb4j/MW5rtOeJFV6Grx2kJZmXlp2cEkTUNWlJPyZEJSo5xn76xj0fBzSUPhTHVy6PkScdSwoZPbNjHUdaggXruiIFq2WJqLe1wOSriS8QEJGWbe0uM4tQmLhzQ4bph3RVPza6l4pNO5aoJJ79nE+enX8TkcAtZHOYPGS3NDU+sWRSiIPhU+yDVi1sSC+yCfyvKbHSM2rGb87CuiMKETH2Mz/wjJGlld8rYUnfWP3935PKdYLJKwyyj4gGjl0ZEXRrZcLt84mFM8Ncmit+/6Ku0hENFPVvxxVTg4PWrZ5o9BtatWknzyg4K6+Vnz07ohCRwCtsXYhs3hHF+UTpgrW+DBFVp8SnqIhxXvDJsyMKEdmMD193R/bnM6q296ZjRDaDeFRYq67iiKyoo6NKREQ2wXsSRmT8aOXjZ3hZ4uDA931j01NUhYUsOXekWt+pquVn9kaeVxPZT5ru1lwjVUkZSyTxCzAYEZ5k+uqDQ8JE7vam9kWnPL8lYr9ULfIOO7gNR5QXHRKyESQkEhIJCSbp5Mc2bLjQzE+QVhY2WqL+/v+mlBPjvvCzZxUKIhJ5LftsYe6i6Nykv38f4jXdsDSAtHyx0pKGLTx6zDO93Gact8EeMs4zA0fEyGV3fywk6oS5kzsH0hI6W1f+uoeOiBgy/fZjevMa2li8amX6DWVLDQz2kcu5eoslcgucPqxxK9H4D/yipcn3pOkPQhwMbtsTuIwwDilrgYBILbKxNXq7Mv36C4jUj+unxWGzruZwNDBwekDjdzXjFjBuYEL8g7w7P5NLc7Vv3WMioleZPi3tmGkCV0934z8rlyNNrybB+KDpTTbnEBDgEqsozJOX6HxdeMTlSO/UEnkFTm/8JR/jPmWSQ2JcSdv70yH6a9J03GP9S7GDo1rfVuQ21q/xQo50RMTVsCxRD52Cy+IiVqVZ1/3nMfeL+r5SxeqIrJznRyxs/kgpsrFhSKFKTbw003miTcO1hSJ7d5Mld051fkfErhtqgXfYnq3BOKK8+JCQxpCQSEgiJCSYolMXSqWNaxHNqZb+kMeRle/MKU3eUYMD3/eKzZXmXc1kpwc+e78gLfW9foHSkpjBXuOazPTBccQQcay25etFuhDSErpe1xUpGIYhIu6x6UlbWW0tEfXu81y84IaFfBURYG3yIZ0sZmV0usE+VimVLJGN6wgTvwVt5eLuSMkyZUkZkWHiML1NrLnVgvSDwvs6IlYWv3tvcqPGupofa4l06nI1UXPxx1gzRFTD1ugnt2mTJn+1qnslLBEVJO7cLW18lOJKqnREP5dXErkQVSlVLJGNs4uJjb7pMoRH3X1Qqa2q0RHx+Nb6nergqBqtWVUok9+5V1LyoKRcpXpYoixp5hcMuo9OXShrPPG0yCt41YqF45rMRWVAMG5OsIs0rjBl+2zp0dHevm95eo329nQfbOqDRLXi5BcRyTfUZDV21cZgF/wy9ssACdn4uY0XICFNrRkJiYR8+TBey/aHvWX61VRzZf+a43KDBQ+U93VE9m5D+zVtLBg5TEJS5UOlisjg/iikpd4LlpY6tlyelVtYcldZUq5SPSxTljxge6w8UdclpCV0ua4rUvBF/RgirVqjJeI3flCnUT8i4gmEHb8JrBtYi4Y4O5vuqU7V6I3F1nJEJBCY/CJIYG3FEHE1tZ2RLTXsYx1RrTL9++a+w+S4fzf/dBvJIB6pVSUPOep4bZKtZYmIVLLkpGZa6DiuriVHRAIrU+PD623NEHXzaapSWa4jktgM0h9COjiqdU1UqUf2RiXKnv2YFiOwedPLr19e+r0evcFpWPDuiEl1s0npCk9+ujf5Z+rzZoBfS0cUIiLGbeHB/aKYIwnnc1S3ryTevpJIRII3x84NWz7f1/idwcqSbxARUW3aseMyv3Avi7luG7oMErI1SEjjJkhIJORLi28zzLmZ75nZH183XvBv9rGOyFpgsgRsLRAQUU1tTSd0CmnZKboiLYkrOR+5MzYpt6EgwGNEEmc/L3WqrNvvZzGEtISu14VXUkhsf0dUpiwuIvJo/KC2tLSSiGcnfuFmzRRYMUTEmp5sg62p5YgE1kxnVD9fF/QhojeDv/osyKaZMrl1C5MYSUa4D6RcVdYPOZyfd3P94QpTEm/9TDb+weNanIJNwDBEJJryycH5bs2si9HfrNjS+HDamm7/Iq3whqycSDDCs27m6g6OKhERdzs6YuMZFQnsx80MmuwzYqiDxEYkIKLcyNnp9zq1921lLRn27MOk86pw2a1Nl8rPHz4TdHBOa1PsCdyCVu4LWlmtzM3Jy70juy3NSL+XFrNBUb718Mf+hgcOgXvI5k3+WRtWxhWe2bHT+eAXgeZ8TQAvCyQkEhIJiYQEs+jfbs1coVDDskTUx8r0RWzt2RDSsmO6IC2JvbJn+d5Lap7AfUrQ+2N9RzpKbCQihkd07bNJPVukQFpC1+vCOSnsRgwXUplGllmk83Ayfn9qb2fmcUQuriOaXGPxvOtvby8gRXlhXjm5Nb6emSssLCbiSRwcTD61jQbbD2GoXM0+lkhs2nFKz3MbFyCJT1B9/4+UBd6Bpr8FVafE7I1O5+znewePa3Fl+r1mWeo/WNJypbN+fArV5NZ4o8rCuzozrkvsROpLx5KURKLxE+vnx+7gqBKRTpacoiKeZM72w8tGGq2Ca3zI7EM8IuKaLFdXVXfHdXyCgEULRqbtvyM/Fps2ffNYs0rU/ezdA+zdAwLnLGXT9y5Ze171/T9SQv0NpoOWTFq20MuG57VtqWLRAWlq5GfHHQ/OH/Zc3NYF3QEJiYREQiIhwSz6t9sD+V2WHBq//tg7P6qImCH2nfGxDWnZcV2RlsSmJ6epidwXHvzfEKOP/k1SUb+z3GOucTbWqKvat+02QVpCV+jVdatmRvj5Cokepv7jhtboAV3ZxXO3tERO/v52Xbf5HsJ4vPOWgEiedF7R+CH1laQr1UT2AX5NpsBpj35e7wxjqPrahWtNqsi1iuSEpHRFKzf4us8MHm1FrDR65xmlqZbq1EOx6bXEuAVOb+0H4fR7zWUmfd+0sKtMO3M+rfBnrr6l10grInnS+cbfmHG3k66Vmz2RatPz1jZj5ce/OJhaTczI4Pm+9anX4VEl3ZOaWiKe89BGSapT3Mozvn+PJ+jfj0inzM0xXq5MSc4zey8em93SBMn00CAbHrHXDh+TN79bnDr3WuLxRJnxiAj8xnqJiDj9tN4NeHVTZ9kErd80XUK1ipjPItOrO9JJeKEgIRtDQtYtR0ICGOvn9c4Ihmpl55sGx4OkCzKOmBHveHfGJfAvd1p2LCWIqMvSsu7mR9GQYY0uTuBysxpHUv9+IiK6fyfLaDknP3+lxWmtDSEtwcJ0YZGCrLxn/cGVIc3lQztOF9bXKXSajCN7jhVwJHz3j9Nsu3DrPUUwdsF0e9Ip47dHphucWXGKhJ2H0lgSjAsJ7JSvCYkkU+aMFRGbGrnluNzg/a5Tp0Zu33po79pdia1ktCRoXZivgNj0yOV/OZCY+/OzWGGVacfXLd+YoiYrtwXLg0xMcddIv7FzAu2Jk0V9Fm2411Qti9m+ff/ezzbE5dWtvd+kOZMkpFMcMx6f8iuRO8+bdemaoJ+AiMpzZG04AjVSrbx9PnptaESMjCXR2JWfBBvsYIdHlSdxkBBx8tQrBrunU9+O3hPf+DhqP9pDQsSlx+4982Pdttgfk7Z+EnfXnL14Q2DNI7qXcavx1EVtwIwMDvUXkE515khSeXONaqXHd0TGREbGZBoOiCr5olRNJHB0cTD9ZYXAL/yzUDeGVElbv2ht0ODlgYREQiIhiZCQYAbJlP9vkg1xt2O3x9wxeHVVy2K2x+ZyZDPlj9Nbu1/A3A29lGnZCSnRpWlJoiGDRUTqW6lSw0/15Vci9yU17vFQTzcBkTrl8M6k+jqRWha/6bMzKjMuPUBagkXqyp8gJbL7cPnSnA0HMnNiVi++6DrcXsCpigqKKjlibGes+POYvl268Z7CuCz8ZNmPEVGyxLXzpKP9fYeKiH2Qd0OqUOsYh+nr103qtMlCBf7LNwcr1yTIYpbNPj/S5y3H/oyu6n5mxm0VR1bO81eGNPNuf8YmaPPB2g0RR2S5iZF/Ph8tkkgG9WNqVPWzrAuc52z8bL6zOddWMe6LP1lWEBF1J2Ht3BR3b8+hEmuqVt6SykpYYgYHrlxYf/0bMaPDVs/J2xCvSFy7QObn7+Ug4KruyVJlaoeQsOnfR59vrUpq4z9p9HH57TvR82YnOQy0mRKxbU5rhfnChIig8/X/qWXV9b+6JRgWtO7T8HHGF0t2dFR5ztPn+J7ZLU3dvWjepQA/ZxHVlt+Vpt3+WTLaTXBbblQ+dp8Z4vf93nS1dP+S2cfs7fvrVCUPWMYrbIFjbMy1VnaKnCdNeTMxRiHdOm/2scGioUGfbWr6g12tE01eGHxSGlsoi4u5NmlTkx/KIiLqNyk0OPHWccWZdfPu+Aa89aaI2PK7mWm3H3Ak8AqdP7bZ1wfjPP/T8LvL9qZmRm844nI4rLn7S+GlgoREQiIhiQgJCa0T+IZtmlP4l3j58ZXzUr193rLvT9WKWzdkJSwxw0I2LfXqrNfMy5mW7UiJbk1LotEzg9xTYnPPbwgpGOvv5SAitrxAmnqHHertzGQaXY7I+M9b4JYWJVcl716UftzexoorV6rYfmOXBWuj4mSdPg6mIC2hk3VtkYJ4ttM27RadiI65kFmal1lKRMQIXd7945I/z3B94aajaMA4z9l52OZ4ZMwZ6e2UxNv6ZSK36fOXLAty69TJaQWjlx48/Gb018eTbt9JO3+HiIh4jI130PywsOnmHQxc5nwZ55V07HjC+Uyl+oFS/UC/Ysno8UEL5gePNr9IzzjP2XPY5nhkTKI098al3LqFIvfAkGVhQe6GP6Al8Fq2f49N5MGYK4r075XpRMQTuQdv3jafOfa9GRsaHLRtO7tzT1yqUlmoVlrnqec088MCz7BqdcOpL8OIJM5DXL38JgZOD7A39efo6KjaBG4+yO3ZEXupUJpUIiUiYiRe87eufytjyW25cVNJ4KZdXNT+uO9/VKuVCjVP4DIlfH144MO9sa1uhXjO87dvfrw7Mj5TVaJQl99ScNMl7UntN4NDpySuPa9Ojk2Y62/y160Zl4V7vup3MCouLfdGUqF+smUe4+AbHLp0YcszYJEkcN16xf11iYUJn+10Pryp8z5/wnMMCYmERELW7yASElokcA87eNQ+et/xpNvSS/r3C1lJRs9ctGrxRIfO/FHGlzIt25ES3ZuW9GbIl9to54G4VEXaeUUaEZGVZFzY9lWSU8HGRQri2c/Zvo07EHnympJVKQuJEY0M2hQR9pZsQ1SrW0FagkV65enTpy08XPpA9dtvvw3o/0ZHt6PTqsoq1LVkLba1E3Z3/auy6pdevXrZDe72WWF1bPk9ZVUN9ekvcbAXdelusw8U93+qodf79x9sb9O+03wdW65UsbXE9BPZDO5Ab3WsWql8+AuRtWjImxJBC3ViVlV4r7yGrG3snW1M/Ax4K9ifVVUc06GutrqJjoyqji1XFN6v4vr0dxjq3OI4EHHV6qpqrs9Aiajt5xwcq6pSk7VEIujyNxanViofVtVQH+v+9s7tfJmB5alS/0JE/UUdzvm2QkIiIZGQ8FzpsbQkjlUq71fV0Os2Q97s2hfzS5iW3ZASHRtVTn1Pcb+85rFV/2Guzq3EYC1brmZJILLp1+adQVpC99AHqV4LcdpdRYoe1WNFCgAAi9dzp90AAM8TpCUAQAeZWaToyokzAQAAAAAAAADMhiIFAAAAAAAAAFgEFCkAAAAAAAAAwCKgSAEAAAAAAAAAFgFFCgAAAAAAAACwCChSAAAAAAAAAIBFQJECAAAAAAAAACwCihQAAAAAAAAAYBFQpAAAAAAAAAAAi4AiBQAAAAAAAABYBBQpAAAAAAAAAMAioEgBAAAAAAAAABbh1ZYf5p48oadUWfVL9/Smi/znPzp6RVelfr73AgCgK9TW/kpESEgAgJYhLQEAOkgfpFZWr7XcrJUihd7Tp087oUc96ynpdL/1dCcAACzOb0+fEiEhAQBagbQEAOig354+7fXKK602a6VIwfTurdPp3nijbyf1qmf88sujXr169etn3dMdAQCwPNVEREhIAIBWIC0BADqomni81mecwJwUAAAAAAAAAGARUKQAAAAAAAAAAIuAIgUAAAAAAAAAWAQUKQAAAAAAAADAIqBIAQAAAAAAAAAWAUUKAAAAAAAAALAIKFIAAAAAAAAAgEVAkQIAAAAAAAAALAKKFAAAAAAAAABgEVCkAAAAAAAAAACLgCIFAAAAAAAAAFiEV3u6AwDw3OA0pcoHVZyVjf0QsYDX070BAAAAAIAXDooUbaC5fe5fRRwJPQPfcxL0dGeaUZHy5aeR1zmv//P55hl2Pd0Zk9RZ314u1Db7MGM3NugdcTf258VgYlSZ1wSCgfYjhg+X9OuMLdQWJe7bFXu1lCUiYjyXxu4JEnXGeo1V56d8L1fz3d77/XBh568dAAAAAAAsHYoUZtMVnY0+FHefiPEUvLUj0DI/QtXmp10tZTm6diVLM8POEvuoq5DGH0moaPZxZoINihRt1sKo8gT2b89YuHhOgB3TgQ2w0q83RV5Vk8DOc7RTf521z5guqFAQkSYrIfa4QjzLa+pwYf2VGlxlkULFMRIn5wEd2QUAAAAAAHgOoEhhtruXr5USEREnT7mqDuyKr5E7zsp/4Z9nUCbnGTzBEisUzwg8g+YEDDbxmZMZ5NT9vXlRGIyqjuNqNar7cunNfOUPJ7fcTgtcs3P1u+190erkaT+oiScO3vJ1mHt3VwqU53Ytjy91nv/XwyGWeXEQAAAAAAB0GhQpzCW/nKbUkf2o4TXZ+VmXL6uCZkl6ukumMPa/X7r59z3di9YxDmNmBY3q6V68aEyMajhblPTXXZHflSZ9uUkk2bdwaLtKDNy/WY6I5+TWvqcDAAAAAACYB7/uYR4uI+lqBfGcApfOf09MdPe7lPsmm7EajZqtJSIiHasqypfnFqmqjZtoShW5WfKiClbX4gb1ze6Wampb35AyP0t6M1/FERERy2o0apYz9ay6LuUrHpp+3GDjRfLsZjvJVas1mvo1sBWK/Cx5bpGKbWmN7cCx6mf7aEjHsRq1RsNy9X0z3Z/qJk9seG5dW05zPz/rZoaissmWHxbJs/MV99Wt/I2qKxT5+j9x88Op4zT3i+TZ+fLW1tZVBE6Bq/Zt/r2YuKKEQ+dUJtsYvDCaPKYf7RpOR0T/YTVqjUatabq/HKsqypdnN/PS0g+7qVEy+ts1VctqNOoqLUdEHFulMf67AwAAAADAiwdXUpiFu3n5moYY9wkBQzzZMeKEM6Upl4tCFja+MUHz3bbgr7MkwfsiR9/ctvd0ViVHRMQTuAWt2RLmI9RkxO49lHCzou4jmXB48IqNYe80vgKfvXsuOjo+JVdd14wncpswc8mfZunLAtMAACAASURBVLn1M7GhPcMvb4/8Tq7hiOe0MPrrEDu69lXIlqvkuyZh23sGX3rrKqRxh6ITM5T1H0IZsWdgyOKwqU5G34zXll6LPxKblKFs+IRvJfYM/J+IheMlDe10WdFL1yc+8ll/YikTv+tgYr5G/6GRJ3CeuviTP0+176Tv2rU/fLXwywx2wNRt0St8DeYpVcavWnK8iIbOP3xgrr1hf06usTn/5fa4jLpiDU9g//aMsPD5vgMMVlp6OmLpccXQxUdXCBJ2H0kqYonI9y8J236v3wCnvHw8OvactP5PRAK7gJmLl8/xERr/kgVb9F3soZNJuQ3tGMnbs8JXGG9Lp5bGRUWfv/FsMPs5Bf73yvAZTt1+NYLA9//8adL1z1PyzyXmzwobbtjJJi+MQZ5B85cunFA/g0Xp6Yiw4wr9n1iXsXd+CBGRcOqeuBWe+jGpzIg7cvzs9SJNw1gIh0+avyz89wa7qR928azDRxY7G46k/m+nGR4Wuy/Y1DwkyoRVi+JK6/59Zn3wGSISBH6RsPrtDg0HAAAAAABYLBQpzMFeS8lkifF8d4KEiCZMtE88qbz8nXz+UjeTv8JY8d22bZdLxJ6BfkLugVx6u1R+ZttmZvGIH44kaOx83/OR8KoKb2XKK/MTtm0SRX4dPMRgSzcPLd96TsmRwM4zwE3M6DSFtzLk/zqy/I5i876PAwYYb+h+/GeJGQorO8937Kypv8Sqme7rShM3roq8zRIjcn7bw0XSh3sgl2ZnJe5bVVixc8/84XUfJmvz49avi83niBG5jXl7xCABpymS/ZCVdWZXuIb56zp/o0kudJz8b58m/UtjP3r8u5I+rDJLml2h+PbAas46do1/p/z0ifC9pWFX5HtvfhcdP9VrcX0nK84dTCjiGKeFK+baGw0+p0zaFhkr7+3kE+gmZmor8m5lKH44uUFRsn7fp5MafQCuzYndknGtUuQ8ysdGQPZ1ZSJOfnzdJ3H5LDGSUf5eg61Jrfzhdv6145tz85fu3TLj2eaKTn6y+ri8lhEO9Q8c5SDQqRU3r0tvntywjt1zYKln3c6z1/at2vKvCrIS+7431nkAsRXyq9fzk75ep6avt83o9plBBd4T3xGlfFch/aEobHh9cc3gheH2joeLqI9amSXNzUrYuSrv4c49IU4MEQmcAt6b6sIpf7icr+GJPSd42vCI+J4i/WiUntuw+pC0mkjo5DvBzZ5P7EP5Dzfzk75ap9Z1wm5aO40NnFpennUlq4JI7DnJU8wQ4zawg2sFAAAAAADLhSKFGaqvX7rNEuM5ST/v4NAJk+xOxt6/npK92G20iS/FVVcvi+bsjF04XP9xVfXt5iVfZcjjDymGzNgTs9RTf0EEV5qwcVV0dlHid/nBDV9tV9+I3HtOqRMFfLRz/Yz6r7K50qQv1+29emXvIV/3TeMNKwWqm1n2Uz8+8ZHBZQ6mKOJ2Rd9mGbupq7cunTSorqnmh0Ort52Tx0clvPt1yBAiIlVSTFw+R2L/1ds+Dmz4JYiH5zaEH5Je/dvZYH+jC0d0WYnXPcMOfB1c/3256l+fh395Q3P5H0kh/sGDzBrX1ogDl85PWXooKzEmceq+YDsiYq/FxmfVMs5zVgY3uoqFy4o7IvJdum9zUH2HaosSt22KvHkjMvK70V9MNaqw3M+QDp217cvFhhc+cNlHtsfns/08F27ZEDK8vsxSeWPvul1JN48cTPTZM1P/kZu7Fn9GXkv2M3ceDKtvt3hu0taP9v7w3YmUWZ5BYiKi++fiLldQP5/VkVsC6z+qL8w+ErHxtDT+ZNbUFZ7dfTUFM2KEPfOdWnW/lKO6IVLE74q+zTJDZ23euti3foDY7COfbD4tj9sV9/ZfFw4lEvqErPKh2itbrudfI6egVSsCntWG2JTY49JqEoxevGfTLOf6Gpnm6q4/bbsijT+d9fulniareGYTjpm/egwpYouWxJc6T126HhNnAgAAAAC86FCkaJ3m6hVZLTFvjw+o+yBnF/CuU+z9oqspWWGjfUx82LSbsXx+w8dckkz9w6TjGYkaxjd4vmfDLRuMXdB0j9jsG6r7SpbqGivP/z1FQ5IZa55VKIiIsQv8y7KsO5+n/PDNvyrGG10VP2hGxF/GS1r+HMjeSDhfxPHsQtaumGRQOxC+szhipmLPdVYhr6AhYiKSzNwZNzzzrpW3r+FvVQ6aOu3t49LLFQoFS06GV0gwniFrgg2u6Je896fZ529E5xdlydngQa1eS8FKYzer+jVZzLP74C+LfRuWD5qxPOTykiP5cUe+e2/LVH728eirarKbtTzExB0TgjGh64MMlls5Ba0JzQrdde326W/vT9UXYuq34rRwrVGFgkidEv+dSieY9JFBhYKIBviHr5ghW3s669tziiD9rQoVygcskdh3jEE7njhwxT4HVuhmV7/sgVKpI3LyDzD4ewlGzf9s74Q+dk7CFioUtVlx+84pmky7IPD6n9UzOvQRXSAS84k01VVqIgkR1d5ISCzirDzDNz6rUBCRYNTiiDlZi2KLvj2fEbLK1MvboO2kDbEON3NouL+zwVU8wjEfvCe+klApL6wgz84pVwEAAAAAwMsCRYpWVfwrRc4REzB+TMOHUvsJE9ziiuQ/fCdlfQKafB4XOLsZ3XhP1gIBkUYoGWzUlOnXn0/EceyT+g1JbxYRzy5wepNv2QXeYz0FKZeL5Hc4Ej97UDDMw/T9Jga43GvSaiL3GR8ObfQI47Zw39GFRkuEw/19m6yAdETE1Wi1RAb954m9RjWaTUPs8qaI8tU1j4xbNtMvVX6GiUkceTWeYeRrULywn7ky5OpHsT8cP3pVLIn/TkV2wSvm/z/27j6uiTNfGP5vm9Nx2Y5lE+1JpHciPQn0EG0NVIgFsSBuOfSWh/3onX7oSZddunRxsVgrWF9X1PpeUQtqTcspu5zmyL05+jQHbjlpjVAiSMCFWGOyxeQUkqMkT3Gy1HFZx3t2nz94S0ICkRel7e/76R81uZi5ZnLNNdf85nqRBnh0JuVpo4aZhCf+UzxpOO80truVkV7RgrmyBX4Pz/QXF80MzE3PSPLfBhGTlDz3jOam5VovSPgAwBUICLC7DbUNWeKUkSE2XKHUu7eGYJ6AAw6rTmNOyl04vE1CED3eAqus29LUbBwVpOCGZwJMrh8BZ3Bp0oF/MeZWYx+QyzIzRo3JECUlSarsNssfHWyCZOwCxiElSxL9P2TuMgAADD3Vc6kihBBCCCGEvvMwSDEe5wV9JwNk4vIlXo+vEUvTYqos5ssXWujkFaMeyIlAZ3Xcfu9st8MJwN7p0Bxz+Se+S9kYAKan1+3zpBrCkAHK6aYBBNES7vhpAQCg3227Yr3W5XDc7Ha53D0Op8MTcO0Fkhg1BQbx6MCBhLIbXtqbuxVPB9iswG/eDY5QUbjaUHS67t0SgmEEWQW5CwMdNocveWr050R0tBDOW3ucPQBez+KcUWfupq2bBbhj0hw5pvc7+ezt638BYCkXNbANMlmxWtN22lZ/8NW238riEmKflcU+96zUr/OIeKUyXre/xaouUp4Ty5bEPStbJItbNGYfisETkFR4TJI76mOCN9mRDkz/rTsAEEbOAgAAqstBA8CXNaVHWv0zxThusQC9PbcAJKFsudduuWq77rQ7brp7XD0up9NFh1DgEUIIIYQQQmgUDFKMw1Zfb2MBmC9URb+q9PqccTMAYNQ3eVakh/r8Pzb2zzQDAJTpvM4UJAkz5sKhAdH9NACQYSHMZcm4DZXHVLUm1/BeCFIQKZOHW4xdU/9OnHxSLBmvV8FgLqJXZi08U9rOMJyYrJ8Gm8xhNhlo3tBHfzibALg37omj6bssQL/TeN4ZJMU9ZmgxVCIm5/AhbmXlmTqz29RYY2qsqQQgIxMVeWuV8cO9S3hp246Q1R9Unrtss7fW2VvrNAAEX5b+yppfpEvG+jVIQfSUTDzqz9XlZgBIAX+guA4UDHCb9Logf8CGUNx6W9XlJ9Ut7pGUJE8SnSD9qtXyzeSzjBBCCCGEEPrewSDFmFirvt4JAMDQrkAP6oxZ1+hOz5qStRo4PyIIAFaWX74+Ocg6HbMev+89kWEEANDj97xnTBWbdmndQAqTszKXx0ujRHwBlwQAy0mlset+dzuVmCvVmisMAABr/b26OSPw6iG3aRpgVLiIvnObAXgsbLwODAP9CyJXH96eGWyOD9KriwcZk1l4KLOwz2kxW66ZTaa2y8au5soSu2vH8aLhHjcEX57zG3kO47Fb2s1fWK60NrbZTTXH1n1Fnzq0WvSgOxq4jW1OAGLBAungIRAEAHBXbCpVxgQ5O4/yxs4ka1fv2FtpZ4iIBEVmqnyheH4En0sSAE51AQYpEEIIIYQQQhOBQYoxmesNNwHCU0pUa2Mf9fvOo9/9RvkVq77RnaWYiigFZ56ID9B1i2b5gqmbbpAnFJJgd3VaXBAjGCMda9I3uIHDV+w6nu87noK5F+xvHgjGWlle42BJeX6eoOaY9vwHquRni5aMClOwTstXDAj9HreZ651OAJgXMW+cvUQI5xPg8tB3+fyxl0rxES6UJgmlSemKfNr43hvbzrn1Z+tfW5LpGyohuGJZmliWlpWT33Vma1GFyXxWa15duCjkvUwFuu201spAWMLwqKWBgnGHBl4Ef4I9N+z1+i4GuClbjm1K9p4DlWUYvyE/nKHP/bbA/Jm6M7F9I4QQQgghhL6bHmSQ4s4f689bPUDMf/5/Pvf3D3C/E8YY9U0uAMGy9GTu6Oc4Mu1FmepKq+W8zqHIEU3B7oTyeGGl3an/1KSM9hvUQFvO6XqeTJAvFJL3+QaeWCiPJRsMnbq6zszcaO+tMpaqkrKm2/OzfrPlJT6w/5fuB+CIJdG+e2btHRZqggc0BRhb9QmtE4hF2YWr0km+qXF3Q93JirSF62X+PwjT8Wm9Z5nv0BtP/X+20cARyuPGiyKFyxKiCaO56T+b8uSpvpvut+vrbOSi+FgxjwAAhrK0NXVQwqxM7yyQ8kQZ95zO0+e5xQKXA3RXq7HdTsS/kuw9hUjk0uTICpOZpigmpAlFpgjj1JUe07kAJFk5aUPRhMGC0a7Tu1P8uwI5m7VXYUHCYsncMTNJM7dZgCelC/1Waem1XLvp+8njvDkcsPVaOm6C1OuEeBp1Hf2hzl7BTGCwE5pmTFeztq3H70PisTkCUcyCGL5fZcVYT2/dVW17InPnnjzZ6JV9gqJMNfXX/zInNiNlzHFSk+JqOWMYNdKLeGzO/KeflQ5c+NPIrX/3N+VNTOwv3ymZ3Ao+CKGZi7bq6/ybUwRB8iIkCxeKuUH6z34L9LWqtryrpSTKkl1B+2XOnM2Oi3EaaltdLLngxXRp8PsU09mgvXIL5soyUsWh35cGbjSCJauTv101/QwquoyjscboJkTLMuUDDdfpKCcPq+yhUR5QkOLefxv+tUz1/355BwAeS/0f344gRf/lCy0UAD85TRbwe3JJupxsNTgv6jtzcv3XzpgISeZqee0x47l3988/4LUKKePQHS053uwhLhdW7M+aO+YmAuQyUZEhNGicmkMnJXsLkocWB6Hbq8o0JhsrTpbyAQA4fBEfwPnHi41U2oqhiRVYylRxVNM1BYc2QV1nyjR2hhDnFqwWAEDS62uSLu9v0h2uSvmowH9yCrqt4vBZScmqoVVI++2aQxVGGsj41S9Fjrsnfpoi8WNzg+H9vWqB1yqkLGV4/+B+nRPEr3xUniPiAPS3qd89aWSE1JNHCuOGk7n1n7Z5AMinJAPjOFznT+7XuMk2cv6uTNFQRmmrrq4TgCMMNMfntKBvWo3n/119ttnRD+SivK1Kr1lAwhMVLwoNZ02qPRWC3V6rkPaZKg8dVHcygsz9H70RbAYQAAAQCecT4LE3Nzozs4bvuLRVXVplYnxDD+FSaSQYO+2aY1ULdgwsxMs46iv2fWBiQohQkOEkALjMJhcrHmfBXfRgMZYaVUXgKXSIubKsvILc1JHeTY6WepOHAU+9wZ4niwt5H6zDUF2h9cTkL5vGIMX1hipVfeAoGBmdXvh2QZp/L62p02+92OikGTA0mDyZwqmZ4QghNNN4TJrKqtHriwMAhAmTswuKske9fPlW6Gyus9MMmPRtTmVMaDON+fJ0WXtogicWC7wfdye92QkiCFd9haqTkBHxh7N4QRLRBvVRVQsjyj6uuJ9tX9dXqRpBzs1Mnr4bynSYQUWXvlZXoWonMyKHghSTKyczq+yhUaY/SMF6/qj94PDpFjcDj/6QuPeXb83rULpFb+wDiFiaFiwAQS5eHk8a6p3689bc6Jgp2OXc9OI3TYXvNhiO/6pDK5NLhbwfMq7ONqOVYoCU5RTcd4QCAICQKjflWjdXmnW78tqk8fFRcwn6psnY7qRZQpK9VhEJAAAccYYiQXuk1XAk/7WGJLmYB/0919uaTb18WQxpsk75xJlU3V5lo/8IGgCAWU/nlO9I5wIA69SUV1sYEA1nEnhp+TkXrpw01p6sXOY7LIUjzlLM0as2KOsXL4mZR/zFea3VZPMwMDexsDCkmU3JJWu3rXJuPWuqXK+sW7g49qk5BHur+w+XTW4GwsTKwuzBWSTCU3NX1XSo7drtudfik2IjeXCn5/ofmk03GSBlucrEgTxJVv8i+fxBQ/vJNfnNyfFiQRhQXaaWNruHJUSZOVmRkzhzY/E5q/fuUPTgZJ+EaEXBzjfSRT63RUKauym/c7PKfGZbTr007tko/mz4xtnRZnLQQESkF/5szAgFAMxNVSyrNp03lRf+wpCUsGAuwXicHS2tth/KZHyTqdc7qTArO+WTvQ0e8+niV3UiIRcop8MDEkV2Wn1VnWecoxIsSZWprSZzxWtKneiJeWnrdynwrjGjRCTm/nSojcIydJ/b1t5k7DRpDmx2MUdK0gc76kh+mpfr/j+OuemKBzvWKXTc+FdejR+qLViGpmwdjc2mTt3+zXeJ45uSpyl+EJaY++tMuMzIFKkYoUDoO44jzshLH1rbm2Foj8PaamhzGipLuvsOnMr/Fr63jXulSHH7gkeSlTmxGzPVWL6h3MzLOqT2GQY72c1OGD95RUxlp9XSWO/KWh14lLSn6UI7Axxx2orvU1tkZhbdSZWTmVb2kL/pDlL8f58e2FDeegce+4cXX1/7k94TG//3f03zHqcKbdBfpgFEy1IlQV/eEvKUxdz6BleTzpQXM94jXUi4yzadekKqUlXrrSa9c/AVJSlMUOQUKJdNdOaLMLFy/xFB5cnKOpOlSWcZyDo3JkO5Nj9TPJxrQfq2w8zRw//aYGvTOdoAAAi+TLljY2xbock6uaMKhOmjAsernqDvAgCAq/ZkpZmBiMx12V51Hz8zP7u+o8KqOVaVfDJPOvIFIUjfuI98d19Vc13n0CfxrxQW5shDPW2kLP9IWWTFKbXOZG6uMwMAAIcQxGUq8/IyRs4TIck5cDj8xKnTzZYWna1lMJkofnVufs5IFz5uypYjhOjkB9p2k147+DsSXHHay2sLV8VMX8jZ+6wSYaQgUhj1TPzSFzPTAq4YQogV+48L1Ccra1stLQ2WwQ950vTsNb/MHKOj4xBS/uaBLWFHT+mspvM1AwfJjcksKUp37H/DN0gBZNJbpRtml1XpTG7KYaeAFCbnFhStgsr6EI4qInPnLrr0WLXB6bR5nKSFUoiDvd9AD4NA9lKW71QsuXm26pLiSpOh8rfGZZvkA+8ouAnKzQkPJYMhmhOTmpXl0w1XqbSrt2+oNDdUfvK/knOnqb1CiF4qKHlperaNEJpROPyErMxkn1Zl3mtNx4r26hzaE5r048rIh5SxCePwk/N+k/xt2WwIBMvSYyusRmuT4eZqRaAZ4jwXGzoYgJjUtG/XqI1JmplFdzrKycMre8jPD/72t7+N8bXzhotl2R//+PEJbp79r39dt+Vz/v9at1bx7Bz47/9d9Ot/+6/HUrdXr39ughuckD/96ZtHHnmE//cT6YfwsDB9TofzFgOzSYFQNPbUAKFjaVeX00XfJcNFosggA61Z2mW3dVPMLN58idh/VPlMxJrKc7ZoPTH5lUcUfIB+ymF3UDBbIBQKwid43uibdsfXtyFsDi9CKAgaUWA8TmcPdRuI2TyhOGgy2u1w9lDMLJLHFwmne3D7RLG0x+ns6QMgeaLI+//RabfN3n2rn5j9pEQqHCcCQ/e6aeZRHp9H3H/RonvdFPOoIGKmnsZvrb6+2wAQHj77fv+QPrflp++ZIK5Asz/TvxcAa1XlbdDcJDP2aIriBz5h6G/oe4+Q3FEXJtPndtykGJbgjb5s/S5w7733Uff+Co/+kEeGAdNH3fkr8djjZIByxdCeOww8SnLJoAXHcCBrVz0jyfnglNK/1cm0HHy5pIFeVKA5NHSMYx0IdeevxGOj99RPOW666X4geEJJxKhrhKY995hHH+MN/tnA9ocyzPQ6ba5bQMwTjV0hs7Sry0kF24X33txO19c0Q5DzhMKgw4nHzjBC31cTri3BeXpNfpWNk1jyyW+S/S9k2rA7d1cTLVF+cCpHCOBXCTCeLnv317fJpxIkPs1Yhr7pdHzNEOF8gZA3RuUwVgXrrZ9ydLlpIHgCoYA7VuXG9NptjlsMTyqLJGF0vTe6BrtxC8LmzIsU+m2Voak799zndmyo7CTTNqvWyABgZDtBq9PhrLJACsQBW8g+f0u7bc4ehp3NiwzeVPNB60uU+1sYSe4Hp7JHxyEo7du55VdA9kbl4Uzf9yUDlTANRJD2nmFv1q5GkG/U7F1BBMinTxbGuinQN+2OrxniCd/KefDnI+dFBq/Yh5ONWxi8PbyiO3JKBUIJnwSg6rYoS9u92hWhlJNARXrCZY/xOB03bjGcoC3/yZW974u+vtscziMD/z+H9+Ngyaa5JwWHm7SmNPuZ/xGoXz8aCxEulIRPdZCWQwrEY67xMZAmWjZOmpksjCdayJvkPKZkhFg6/gIrBFco5o77E5F8UQx/KuZVnU4ckhsZM/Gu5iRfsogvCTHt3IkuJjK5v0UPGkcsfYqAm3TPTQqABwDgPFNcUGXjrz5VkTfcPY226ypPnq4zu4d6ABGC+NWF63Pk44SUaUvl5uJqOxORUnJgU3IYpT+QW9rOSPN+W+a/1hJjej+/+Bw1/hwrQRDkbBKA7mfuDn8U6EAAAFiTqmBUPKXPqnn/xO+b7J6hIySFicr1bykWjpRlw3tKn5brwPaj8z4uEetLj6nbhk4OKUxTvhWgKxbrNqpPqrStjqFheUSELCvHZ0KQgVPhqK9SVemMN4fT8WQZrxfnpfgsaRRChhFCU4qMWiiEJqvD6RxcpWyoEvhoPak5VFFnpwFA/qZm70sDlyHjqK9SVdYY3SNXafKqvHXZCVzf571QK1iPSaOqUDfa6cF5BwhuTOqr+XlZI/NzmVQFW7TfJGypzKFVB1WNTgaASP3Nuc2JAeq94Rpsj8x4/KCq3jm49zC+LOMXxbnDFQ5Vt1tZfmUwp/oDSj0AEAlbTu9KI4NUpwNZPVmhbhrOKpDiFGX+64pFXvGC4dx+XEBUHyzTWj0DiTmkJD1v66/9hr4G+DnkaYvJlmZbfb0je9S8+O56vZmBsIS0ZV57ZNwG9cnKWq9KeG5MWvba/Mwxp9UMdozBbwofvT1Pe+iodnAINsGNy961+RUp6TaoDpbVWQcrbYIvz16/RTlqnohRv7JgYboyPycjYE/bUE1X0QWWMmlOlGmah04pwY1bve3tlf77H6OcjFWkJ1L2aGuNSlWttw51WOaQovjM/ALf/tqTLXvIx3QP9+D+wzM4zBYhhL53BleifST4Pdl+emtRlaWf4EYnZiyaT7KUra3J2HZ622b68LGC4DNx0ZaqHVur7Qw/ZcuBTcl8AOAlp8lU7a2WxgsOxSs+bUrGpL9EAYefnDbBAXm2NpMLgBQJJzLEqN+qenuzposh+DFpS2SCMJqytuqvNKu2u5nS48qxh48wTs2uKq2TL0tNn0/edV29bOxy6lU76B8e3/uSV5uIdWq3byhvp4HgSZc8G8WbRTlMRrNJc2DDtZsHDitHBqq5zu1d914rzSElS9JjI3nwTXdHU7NJe7DwG+KDzYncyWcYITRRswYX6vb9tP+Lyl2thl6eZFHCPBJEg3UQY6navFVtpYEQLEqMfXI2UI6WdquhqsRsLSjdlSkaftgLsYJ1N+zfeFDvBggXyuOkAvKuy3LZaNWVv21x7DhSGO9VEbO3L5bvMLTQgmhZ1BMERI7ZvGc9huM7VI2MKC4lVjib6bW1tFlNZw+usd8q279axAEAYn58esYT7muNJgcDgkUpsYJZwBHPG6OmvqnbtfGYoReIueJkmZQXdtv15RcdnQ2qLVbbhoNbVvg+6LOM5be/qTvvEcWlLBPMoh0m4xW37dyxImZ25cbEsZ/Lyfj05PDmOudFvT3Hb5yfq7HewgIZlzqy8jpj12zfrLpCQxhfmiSL4gF9w2K8Yq07vuFa97ayNxKmLL7L2DR7qvR94uR0Ca/faWwxudqrth6A3Cd05fX3pPHpy8Lvur68bLS7jVV793NVe1/yumsN/8pcsVwmERB3uy2XTeaa0iKTY9eR/LiJ53Faii5QhiMbdp13A4eUxC9eIJjNfG1paT+9cw+TEUqexi/S9132PC3HivbqHAyQkQnJUj7J3rpuumxpOb3Nai08tN9/prlJlD3k7UEuQYoQQuj7od9k+pIB4M1/KtgdmTFUn7X0g2jVgbL8oRd2ea/U7X6jtEX3sX61zH9p3MG/sqh3bFVbaX7Klnc3pQ0lGVhrSW9vMjhf8R6xwbTXt3gAIpcHnf94DCxtqT26T+MEUpabnTCBGIfnfJW2iyEW5pza/8rQ+5O8rOrN6yqtGnVD1o6UsRordl1dzCtlH+UMzQ5DGY9v3lbjNGpqbOkjPThs1QdV7TQRvbrEa40e+krF65gHAQAAIABJREFU1pIzFvVBdfwHgytPsSaNupUGfsa2I0VJQy3XnObSN9+pa/ztJ4rEgYb4pDKMEJogprPTCQCCCL5PPdPVaoxevffdPO+OD8yVin3VVjpclrvLayWy3ubSzQfr2irKtAmHVw1UiyFWsG5t6VG9G7hJBaUbM0WDwwRoS9WOYrVVW16VXOG1lBprNVhluce89juGzjOqmzG5h3YrhzphMTcbSjcf1F+pOqxJKMsWApAyxXoZUFqXstzMkys3FY4zp7JbW3rS0AuCpPX7Ng+/kWYcNQeL3m/WHz8mle7P8u4Dy5q0TbL8Y8cVQ6Fa1/l3Ct9t9tT/e50yMeBkEyPCZGlJvLpzTkO9PVfsHaVw6uvtAKQ8beRR06Y+qLpCE8L0LXvXJw/dkmjr6Z0lVaaad0sXVJakTlHFaW8wxOWdKl098DPl208XF1VZ2qvKw2JySw8oowcOc7CbobFO53rplaFu0W7tsaN6NyFKf2vfG8M9WWibZm9xhUlTWiGvWC+b4Eqi01F0ga4/UXreDeGy/D3bFEMdPRinbv/mYxrf+c4CCaVI32fZ8zSUHdE5GFKWd2CnYqh3DOs2vLdpv86kOlS1oDzHr1vlxMse8vLIw84AQpM0iwznkY/P/hZMn4HQ90SfVfvuyToPgDA1I+jCR27HDRqAL0/yavBy+Bnrj5RVqA8HiVDYqjdvrbLS/MQtB0YiFAAA5OLlSTxg7YZ6p3f6DsNlD4AkdYz5j0c4zr2zpvCNwf8KfvXqy4p1J78gl+WUlO/KmtDYux5nDwMgil/q1cOTkCi2lx377cfbxnvg5wiVhTle89fy5D/75+QwALelY7iV1t+s0dqZMFn+dq9VhAHIRXnF2WJgnedqWwc7ptJulwcgLGbpEq93a9zE/L1HPlIfH35VOKkMI4QmhLGfUTfRAHz5Et+39hxx7tt5vkMzKH21zsWSaW/4RgrmJhauzxRwGNO5mqGlIkOrYM1nNFcY4KdvG3mcAwBSqnwrN14oCnNe965QgZD/cmNIEQqAgaXllF7DxIiIlKL16QJgLDU1poDrWY6JuXJGY2ZgbnrhRu8+84Qo863iFTzoN2k+8ZvjnZApNypGOpOBYMWvXo4BYO0my7gr1hGytCQBgKOx3uKd1a56QxcAN2l5/PDa8s3qWidwhIq3RyIUAEDGvLLtlwkk0AZNjeO+jzUIToyycPXwz0SIVyviCADgLstWRA8fJin9abqUA+B0dA/n3HxG086AOHvnm96D+0iJYmN+HAG99dqmCS7hN01Ft+5sMw2E/BcbFV5DUQhhelFByvid8++vSIfEUfNvhj4gk9ZuU4i9r6bkNzZlCYGx12j8T+Bkyh4agT0p0LccJyb3pDr3YecCoe+vK9Vb3m4eunPfZfooh9NNswBhYuX6nODRAa5AQIDdbahtyBKnjKxSzhVKAzZDWMamKSmutNJzE7cc+E2a/7sIIjYtiaursTXV25RDO+2/fKGFBiImIzWkGAPT67T5v6WhHVebLjbFLFTIJjBwkSfgAbgd9TXGFQUjzTUOTxLKitVc2YJI309IoYgP4KToPgA+AABjbjX2AbksM2NUSEeUlCSpstssf3SwCRIOAMnnPQ7gufwfWvuCVSPNLFLo88AxqQwjhMbFemztptnDDy/9f+o2G7S1zY5+4C77xcsLfRPPlS3wq+joLy6aGZibnpHkHykgYpKS557R3LRc6wUJH0KsYG0trS4AUWqm/4t0jlCx5wMF+H8ok4Y87o2QZqT5V0zEovTkCJ3Gbeqwg+w+e7cNZ1Xu/86flGekCnRnXG1NNjZm5I7D4ccu8sstP+opHlip29/cARgv1BKTniasUTvr9eY86dBrdlv9RRsLgqUp8qFfkDEbOmiAmPSMUYfDXfY/5f/Squ9qM958RTQlL8/nShf4nFFidjgJQM2LmO/Ti+HxOXM4AOyfaRaAAzB06mQZ6SL/2zEvOVla2m4yf2GBFeOtvfXAiq6n1dgFELb4n1L9CxsZn7qE2zD2uvX3V6RD4ja2OQF4yRmJ/s0AIiZrhVhTaTcaLcwyr+6Wkyx7aAgGKRBCCE0CS9muUH6fcRetXleYkywcY5AEmaxYrWk7bas/+Grbb2VxCbHPymKfe1YaeC0JylJdotaZaOBlFW0aFaEAACAWpq6IqNE4LxrsOZJoAAC6TW+kgYhLD3H5ZlH2kTLFSDjj3jdOc4tOU63TV5Rc/3pX2RizZAQhSMvO+KSkrqtmW069aNFi+SKZLE4WG80PaeQIQfjvjkMMrF3CDL0fo7ocNAB8WVN6pHXUXPyOWyxAb88tAAkAcGSKl2MMKqtR9cbLn8TIn5PJnn02Nk4m8l1peFIZRgiNi7Wqt29R+39KiFILdr456i0xB/wvvZu2bhbgjklz5Jjef6LB29f/AsBSLmogiBlKBUt3d3kAyKjoEOebIUZlKLi54qjRNSZHLHmKgJtuxw0Gou+rXqG7nR4AIiomUMQ5UhpFnHH1Orv7QTKyU5IYNYSBGJjGP5R+HBxxWqpQXeVsbDDlL5IRAMDa9Y3OgRmOhlNRTicNIIiWBphvPkwijQT9FafjBsCUBClGl4ehzwMbPMyBXxlchg9Lr8/yT+PqAQDP1x563EfnB1Z0XW4XAxAtiRo9AoWQSEQAYwUp7rdIh4DtdtwE4IikgUqsIFrKBbvnhpOCBK8yMLmyh4ZgkAIhhNAkRK/euz51zsD/szbNrmP6XpgVmSQfK0IBAEDE5Bw+xK2sPFNndpsaa0yNNZUAZGSiIm+tMt5vaTe3QecGAACqrvJMxsJXJKO3zYlJWybUVDsNjfbcaDEAbWz4ggYiOS0pxE4QBEGSpFc7jYxJXhUjX8QvXl9lqT2pfemD+14HPjyh6L39ooqq3zdaHe0NjvYGTSUQXHHay2vzRy/Scf/ofhoAwG3S64KkYJmhKdRBtOpA2eNVqmqd0Wk1nLMazp0GIETxmbn5XrGkac4wQt97PFnqs3OGHtIIYjYvQiyNT5JHhnZ50fRdFqDfaTwfrM/6PaZ/aOPjV7AM3c8A+FR7UybssUALjRNkGAFAMwwD9xHwAACG6WcAeGTAlaSJvyPDAGiGvjfBzAYkSk2Xqisslxo6fiWThwF01htuAgh9Zjii+xkIegZJMowYOskPMdI7kAFwXWmouxIkCcuEcOYeVNHtp+8CQBg5KqACACRJjH0mp6FIs3+mGQDOj4L9yLM54Om/wwT6Ek0SBikQQghNAsmPFouHAgHiwgJT++4GV92H2swjivGGWZAxmYWHMgv7nBaz5ZrZZGq7bOxqriyxu3YcL1ri0yLgxuXtXy+s21yi7azaeVx8akOAKdMlK1IlmipbU70lVyztv3yxnYbwlOVLJtVaIcSrFUvO7mp0dlyhlJH3v8QHV6bYKFO8STmsf7xmNpnaWw1me51q8zXqwKm8mEm2Wweaa9wVm0qVwTb1KG/kOYEQrcjbuyKPdtuvmUyWP35hbGq1tZ3Z1eksOrkrY3hwx3RmGKHvO+IfszZuSp7wFFoDT26Rqw9vzxQE2QjpNRHAeBUsQYQRADRNT8NTNH1neLiBF2ZgX0TY/e5uzKyy/5dmADgE+ejE8xtARGpaTJXF3HShvUCeRFjqL7oG7jJeB0WGEQBA0wEnGqAHH5jHea6ebgQRBgCEvOB4YXyQnIRxxw/lP7CiO5CSpm8DjMoVPV7EZxqKNOdHBAHQ/2eaBggf9W0/fZsFCHsMb47TASfORAghNGXIpF+8upAAxqquag51hqhwoTQpXZG/aW9F5d6X+MC69WfrfXp0csQvF6yW8BPyt+dIw8Cle3d/TaC3McLladEE3LxosALdVG/sB+6SVPlk36gQc+Y+BgA0fWcoMwDg00lhEPNn6g4ERvBEixIzlAVbSn/70cZELjCO2n839gdJHDKeUEgC3KGBF8EXBP6PN7rlRPLF8vTVuW/uOvXREaWYgL5WrW7UyZyeDCOEJiVCOJ8A8NB3+cEueX6ArgZBK1hyvpALwFzvvP+5BMfVa7/+zagPWbvtKwY4fJHgfp/pxsyq3XKdAZgrnDfBJSqC4S1LkxJAGxsu04xJ3+QGIibNd4ajgUrYZbe4Rv81Y7N1AXD4ItHo7wbMAg4AMKPuJRTVN4Uv5sn5EXwA5jZLBCszAu70P2KHXnQFQgEBcNN2fXQDgrHZximq01CkOfMkEQCsw9IZ4Edxddo8AOSTE1qkHI0HgxQIIYSmED8jN1PAAbrpA7U1eEuLoSxNNeoak287hJQnyrgATJ/nls/QzcGx0IT4lV1vJHKBNn7wTqV59Mb5K9KkBLgNDc0Gg4kB3rK0iSwd6oN1dpjdAMQ8/tBLncd5czgAvZaOmz4JPY26Dp/HeMZ1pUGr1tl8sylISl5IADCeoBGNkBEL5bEkMO06vXvUd85m7blmW+/Qvj1247kzmhbfdGRMcjwfAG713nowGUYITUq4LCGagL6m/xy9HEO/XX9WZ7RTg5dvaBWsJF7GBXCcrzH6bY91akveeK2gRGOfaFZZi35Ux366TXfeDcCVxY6aMYAZb6z+YFbrdSb/aClj/LTexYLgucXSqV7ljZuULg8Dul1vaGpo7AUiJnWF7wxHA5UwWHV1o06Up1Fn6AMQJsmDTUjBIXnhAKzTctV3Uidnvd4a5E8mRLJExgWw6HS2USfZ01ajbbS6HsCKE6EXXa5MLgbov1xX7z/XFd2kM/SNs58JFOnxyp4wNl4IQBnqRr13Ye11560ApFwuxZ4U0wGDFGNhupo1mjN+/2nPNRit7ge+hozbePaM5myzY/ha6mtVFSheyt4y1mPAfWKsp4uzs35aWGEarxZACKFgiIWrcpeQwLq1lboA75cG9Lep3z1Z+f7Jynav2pR16z9t8wCQT0lGzUM+iLvirW1ZQmCc6v1HDaMm0OIuS4kNA1f9UVU7AxGpGQsDbSJkTK+17sg76k6A8MVL44e6ZIRLpZEArF1zrGqoqmQc9Se3fGBifPLsMVQeLK86WVZt96qjGUedroMBmCuJmsB6IX7CExUvCoExqfZUGL1PRZ+p8tDB8vfe2VltGdg182XN4fcqVOUf6L2XL+lrrWt0AhDz/0H0gDKMEJoUfpoikQu04f29aqt3zUkZ3j+4X3VsW2mta6CVGFoFSyxa/XIMAb26w0d0jpGHf9pWfbSyxe6g+VETWn0ZAAAYi/popXlk74xTV1qu8wAhzcyUeQ1DI0kCgLrWPk5blohb/fJCAtw1h99rcI0kZVy6g+U6CsJkilWyMf58gsIXL48ngW5WHa/3ABGblupfC5KJygwhsE7NoZPelTBjP3P4g2YayOTs9KAdKUAYu5APwBir3tN2Dp4oulO3f0e1bUoPYvBX7jqzz+fUAdN5Zu+7J8v37vApJNMl5KIL/IysRBIY02/3eKdknLpS1fjdM++nSIda9iSZ/5wcDnTTh/u1XjdHljK+f1DTBURkpmLUkiVoSuCcFGNhLDWqClPArwi+TFGwMXfJg+rgw9ovVFboIYH3YqJo4FrobK6z0wyY9G1OZcz9TmNLO8xOmkOKYoTeF5ajpd7kYcBTb7DnyeKmLO8Ioe8ZXlrOKk1ble1KdWVT6paA9+/w1NxVNR1qu3Z77rX4pNhIHtzpuf6HZtNNBkhZrjIx+HsJUpb/m3z7BpW5oXSPZP6h1T7hjPCk5XEVxiaaBhClpgZfADUA29nNinNe//4L7aEZAABCmPHm2rSRwajCrOyUT/Y2eMyni1/ViYRcoJwOD0gU2Wn1VV6ro/EzcjK122ss6g3K9sXLFs4nWcphbTNaKYbDS87NnoqXfoQ0d1N+52aV+cy2nHpp3LNR/NnwjbOjzeSggYhIL/yZbOA0EvGrX13UVH6leX/+ry4kySRcgul1GltaHTQQ0avXpPMeVIYRQpNCLlm7bZVz61lT5Xpl3cLFsU/NIdhb3X+4bHIzECZWFmYP1ochVrAcoaKowLTxmLHp2GvmGnm8VPAYQ5nbDHYKCH5WQY5swi+II9KVT7ep3841xi1eIJzN9No6WqwuBshFOcU+kxWR8rREbkuDQ7P55SahgJew5lCOLHBVI1QUFVg2HjPUH3zN8h/y5ySCRxlX51AF9cb6rClZQcMfKU9bzG1s8NAMkInLA9zLCEnOpvzOzaorNdtyW2VLEqK4QN+0tLTZPSwhemlj0ah1NL1Jf/qKXH/M6GktL1R+LBTOYd2OmzSxKE/5VFVl09QdBGfo1OkOvtry7/I4ieBxgrlpaWm3e1jgJq3NXfYgnrFDLboAZOraIqN9V721sijXEJ+0IIJg3LaWNuu9mLxc6Xhn5j6KdMhlj5uy7k1T9wGd8eQG5XnZkhghee/WdVOz6SYD4bLCLdn31dJAocMgRQgiEnN/OrT4HMvQfU5bW5PBblLv3kBtO1KU9JAGIsW9UqS4fcEjycq8/4V2+i9XbjlogMSST37jPQuO5Kd5ue7/45ibrlgU/G8RQmhckatzV9RuO0fpq84qluQEuoUTkpwDh8NPnDrdbGnR2VoAAIBDiOJX5+bnJI/9+o4jVGxfa3vjoN5csVMl9l0clExOW1ze1EBzxBkr7rNupCmP92saguBGxCyUJf2TIlMe4dNUJ5PeKt0wu6xKZ3JTDjsFpDA5t6BoFVTW+2yPjCso38MtU501WJu11ubBDyMTlblrlVMV4CbEiv3HBeqTlbWtlpYGy+CHPGl69ppfZkqHAyscYdauA8S/VKh1JqPOaRxKJsvMWfOL9OGlUh5EhhFCk0LK8o+URVacUutM5uY6MwAAcAhBXKYyLy9DPFxThVzBCtP3vsdVqyo0LXbj+cGu8KQ4RZn/umLRZJ5dyeQ3Dgg476jON9jaBnLEk2W9vi4vxa+XHLnsrf19cPhfG2w37TY3c82ZI4sMssmI9JL3+GpVhabJajhnHcpqYm7eWkXcdFVQRFz6srkN2l4g49OSA54PQqzYc1ygPlmpbTXV1wy82CS4MRnK1/Mzx1sUiZ++ZQ+jKq/Wd1Iep93DISUrCop/nd7zXtUUH4YwveQ4V62q0jTZjfWDvzLBFadl5qzJTnhQneRCLLoAwEveeOSw8ETZ2WZbi84GAEAI4nO2bcy8fTyEMxNykQ697HGT1pcdEqtU1Xpra11nKwAAhxQtWZ1fkCMPbY1zNAE/+Nvf/jbG184bLpZlf/zjxx9YhqbDn/70zSOPPML/+7njJ/VFn9vy0/dMEFeg2Z/pew3TlorNxRo7w88sqyh4EEOR2Ob9P31HDwlbTu9Km3zEs79h18sBghQIoe+hvr7bABAePvsh7Z/xOJ091G0gZvOEYsGk6zem/Zhyi+7OwgJ1aeZ0t73oXjfNPMrj8wIttueVpV6nw3WLhlk8gVg0d3puGCztcTp7+gBIniiSTwbLD0O7nE5X310ifJ5IGGiOvQeWYYS+hR52bemDvml3fH0bwubwIoTBa86QK1ja7XD2UMwsnkAo4k+iIu46vaagysZffaoiT8IBxuO0OW4BMWdepJA7xsSWLONxu+8SXMHcEHbdTzm6HBQzi/fkTKqgWNrV5aRoIHh8kTDApMVjYPoo6pt7s+byxzpFU6KfcjjdVD+Q95/JKRRa0QVgaZfd6eoHUiCUTKBMhlik76fsMR6n48YthjM1zZXvrb6+2xzO4IwTc3g/DpYMe1JMDCnNycuo36J1N+mtBdKBfgcM7bnDPPpDHhkGwNKOTlsPPWv+ohifOYwHqrB+IHhCScSYpbufcnS5KZYQCMWC0WveDOywj7rzV+IxbqB2Zj/l6HLTQPAEQr9pe2kPda//NsMCcP4v3Ut5CIBHycFtsAz9DX3vEZIbHmCT41yZA387tCmm12lz3QJinkgcvLmMEEJAcIVi7sRHPvuhjZ82eYCQpyU9gLdD5NyQ2k3EXKFk7pQdYWAckhsZE8IycqRAHCMYN9UDyDBCaHLICLF0/DEOIVewJF8Uww8+gcIEEVyhNJTdcwhuRMh1ThhPFMOb8qxOFiek2jUgIpwXrKk/xcJ4ouiHf+pCK7oAHFIQPcFTChBykb6fskdwhZKpa6+gsWGQYqIIqVRCaHupbgcFi3gA4NHtVRw3CRRHDsfU7yvXWTwMcMS5quPKgcLMuo3qkyptq2OoOzERIcvKKchNFfrHA2ir9v0THzfaPQPTs3BI6cq3tuaOygBrUhVs0Xpi8iuPKLz7GnlMGlWFutFOD85AQ3BjUl/Nz8sa6HTGNpfmvGMY2DLbWpqjBACIyfv42GoBADjPFHvFv71yVKNSVeutQ1PvckhRfKZ/H6eBv43O+7hErC89pm5zDyYmhWnKtwpXjdfnDSGEJoMBIBhXY0VlIw3clP9nGQ5PQAghhBD6VsIgxcQN9u/9q++nXdU7ta22MKFsiXA2zBEMdNxindrtG8rbaSB40iXPRvFmUQ6T0WzSHNhw7eaBw0qvkVi0SVVUouligOTLkmTzSaC+Mhm1B3dyMueEkid3w/6NB/VugHChPE4qIO+6LJeNVl352xbHjiOF8SQAX7Yinex3tNRbPRy+LFU2jwMQIRwjguBpOVa0V+dggIxMSJbySfbWddNlS8vpbVZr4aH9WZG+qRmnZleV1smXpabPJ++6rl42djn1qh30D4/vfQmHbSGEpgml3Z5bbmaABeDwkvNel2NYFCGEEELo2wmDFBPF2i1fMQDkvAif93WuNpMofdPHb6R4j/KwVR9UtdNE9OqS3Xnyof649JWKrSVnLOqD6vgPcqMHPmNM/3JM08UQ0av37c6TDaV0NR7b+u4ZIwMwzugxt7b0qN4N3KSC0o2ZosGBbbSlakex2qotr0quKJAR4qw310N/w64mqwHEWRvWjzMnhaeh7IjOwZCyvAM7FeKh2UPdhvc27deZVIeqFpT7Toln19XFvFL2Uc7QhG2U8fjmbTVOo6bGlp6H898ihKYF46D6uVwuzBbEpCl+gbM8IoTQw8EhyMdJbvhjDzsfCKFvt0cedga+rVznqutuAoQvXrrQ94uIzOI3fSIU0N+s0dqZMFn+9pEIBQCQi/KKs8XAOs/Vtg6OjOir19S7gRAr3x6JUACAYFlBcUYI3RDMZzRXGOCnbxuJUAAAKVW+lRsvFIU5rzvv+zAdNf9m6AMyae224QgFAHD4yW9syhICY6/RNPkuWswRKgtzRqaUB578Z/+cHAbgtnT03vfeEUIoJIQst/y3GvVvPyrdpFyCnbYQQughEa4+XK3RHHsF30shhCYDe1KEgHKa202zB2pbFu72OS1GnbbRTgMpU/5C7jsTL/n0s36LyTPmVmMfkMsyR8cZRElJkiq7zfJHB5sg4QBjbr3WD7Ao/SX/OVkI6YrlotrTjjGzaWtpdQGIUjNlfpMDc4SKPR8oQjxYH25jmxOAl5yR6D8fGxGTtUKsqbQbjRZmWcJITIYrWxDpm5IUivgAToruA8BnB4QQQgghhBBCwWGQIgRdNbu21Ph/SPCTczcVZY167B41IoPqctAA8GVN6ZFW/y8Zxy0WoLfnFoAEgHK6aQCBWBJghvZIyXwOjBmkoLu7PABkVLR4vOMJGdvtuAnAEUmjA4wzEURLuWD33HBSkDAy9S5B+I8E5xADk3cw7JTlCyGEEEIIIYTQdxIGKUIQJpQvEQ+tozmLCCMF86XypYmBYgkB0P00AIDbpNcFScEyzGBKBgDIsEATvnH+jiQAmDH2w9D9DABJTuF0ceyfaQaA86PA2yTJ2Rzw9N8ZK1MIIYQQQgghhFDIMEgRgpjM4s2ZoUUkAiAJAgC4KzaVKmOCTHz5KI8DAECGEQBA03SAJMyf6XGCAQQRRgDQND3+BJuh4vyIIAD6/0zTAKMXcO6nb7MAYY9N0c4QQgghhBBCCH3fYZBi2vGEQhLsd2jgRfDH7uUwkNJlt3kgxj8m4rRdZwHGmoWInC/kQpv7eqcTkqZoxAdnniQC9J0OSyeTEe8fi3B12jwA5JNCnEYfIYQQQgghhNCUwNU9ph2xUB5LAtOu07tHfeds1p5rtvUyQyllC8IArLpzXX7pGNOnF13jzekgiZdxARzna4x+XTFYp7bkjdcKSjR2/z8Zb54IYWy8EIAy1DX79+5g7XXnrQCkXC7FnhQIIYQQQgghhKYEBimmX3ii4kUhMCbVngqjx+vzPlPloYPl772zs9oyGKUIT1Wk8oG1qw+d9E7pajx5+NzoCIc/YtHql2MI6NUdPqJz9A9/TNuqj1a22B00P2p40RDiR2QYAPNHU3ugoSVeJJn/nBwOdNOH+7X2keEmLGV8/6CmC4jITEXSFM6BgRBCCCGEEELoew2HezwAhDR3U37nZpX5zLacemncs1H82fCNs6PN5KCBiEgv/JlsqDMCIfvleoWlRGOv2ZZnki+RiR5jqC6T4YpHlJ2Xcb6i7psx98MRKooKTBuPGZuOvWaukcdLBY8xlLnNYKeA4GcV5AzvBjiytBR+ndZdtzu3Q8jnPfPP+95IDBxs4Kase9PUfUBnPLlBeV62JEZI3rt13dRsuslAuKxwSzaug40QQgghhBBCaKpgkOKBIMSK/ccF6pOVta2WlgbL4Ic8aXr2ml9mSr3npCRl+YcOCN4/UdloN553GgGAw5Ou2rZLSXx8PoQdCdP3vsdVqyo0LXbj+cHRHaQ4RZn/umKRdxSCkOW/s+WvR0/prK4u2kWbbL9OlAUJN3CT1pcdEqtU1Xpra11nKwAAhxQtWZ1fkCMftQArQgghhBBCCCE0YT/429/+NsbXzhsulmV//OPHH1iGpsOf/vTNI488wv/7uQ87IwAs7XE6e/oASJ4okk+O0Q2Bdtu6emiYLRCKBaNX1hgX7XY4eyhmFk8gFI0xXydDu9we4AoFIQzaYDxOx41bDGc2TygOJT1C6Fuhr+82AISHz37YGUEIoRkNa0uEEJqkvr7bHM7gjBNzeD8OlgyDFAgh9L0aKOFwAAAgAElEQVSGzW6EEAoF1pYIITRJIQYpcOJMhBBCCCGEEEIIzQgYpEAIIYQQQgghhNCMgEEKhBBCCCGEEEIIzQgYpEAIIYQQQgghhNCMgEEKhBBCCCGEEEIIzQgYpEAIIYQQQgghhNCMgEEKhBBCCCGEEEIIzQgYpEAIIYQQQgghhNCMgEEKhBBCCCGEEEIIzQgYpEAIIYQQQgghhNCMgEEKhBBCCCGEEEIIzQgYpEAIIYQQQgghhNCM8Hdjf83cuwd/gz/96ZsHk5tpwrJ/Zdm/9vXdftgZQQihGecvd+8CAPQ97HwghNDMhrUlQghN0l/u3n3kBz8IC/vh2MnGCVIM+MEPfjAVWXqofgAcDnYbQQghf4/84AcAWEMihNA4sLZECKFJeiS0wMI4QQri0Uf/+te/zp3z46nI0kPTe+tPjzzyyBzet/soEEJoOtyi/gQAWEMihNDYsLZECKFJGqhIx4XBYIQQQgghhBBCCM0IGKRACCGEEEIIIYTQjIBBCoQQQgghhBBCCM0IGKRACCGEEEIIIYTQjIBBCoQQQgghhBBCCM0IGKRACCGEEEIIIYTQjIBBCoQQQgghhBBCCM0IGKRACCGEEEIIIYTQjIBBCoQQQgghhBBCCM0IGKRACCGEEEIIIYTQjIBBCoQQQgghhBBCCM0If/ewM4AQQgghhBBC6Puhn+r+ynUbiIinJLywh50ZNCNhkAIhhNCk0Dc6LhlazY5bt2iGCJ8XLU14ISV23vem2UFb6mq/oMkFaSuf4T3I/TI3Oj43mMxfdd/qByJ8XvTTsudT5PPJB5mF75Z+22fajlvjJuPMe0GxdN4DyM/M5fps/9YjBua5/H17skQPOzPfTjeMZw0OhjPv+VVL53MedmaC6D67bWPFNSJlXdnbyx9o1RYqqr1W30kH/ZoQJa9KFDzA/HxH9DRrPnf4fkQQJE/w9D8uiBJMyQ2GNlft36029jAAAGTKTk3J0mm4cVHtWn1n/5znVi6PwtvitxMGKRBCCE1Uv6322L4Tnzq8G4qf1WpOqCSrCneuTRMQ07x/6ivLTZqYI5E8xJjIrcvaE5W2edmxDy5IQdvOlh/+UG+j2ZHPPqvVnCgXPK8s3KyU86b3sYfuvuq4zSEjpaLvVNuPvlZboWpnx0tGLJ23aum8mfpgObWYr22dLmaWQBL1hNel3G/5vMFBM/C5voPKEs3Ix9cZjmnXlB7VUgBkpyBhR/J0V5MT47qkN/b0A+gbrxYuf2EGBp1Z1yW1qtoV9HsibR4GKSag80LlCT0T8CueZPnqvNdy5JM6q1Td/o2VRppDRskTIsOYeT+RTct9hO3+XK06S0nXpowEKQJXaGimwiAFQgihCWFdZ3cUH71MA0+6MitjiXR+xGzo/e9r7Z9pzxptZ/evu805tSNlWh9hqIaj645e5a068vu3YqdzPzMKZTxavOvsVwxwyKiUjBdlUfPC4bar+5pJ32B0Xarctuarre+VLJ/GV/39rR8W7/sclu45t/OF79KzOhm7qqDwhZF/M936yrMWhrdY8fPnvRrlHEH0d+mox9St3fdrtSMq96OPcrx6TIQtfb0wC1qZuOw0jFBMRH/HZwYKAADoS59dpJOXz8hgn2DlmvxuzTXi+deen4ERihFk3CrlC08GeOYknpQ8+Nx8Z/Dkyp8nDFzfDNNP37phM1/uMNsufLi59VJ2ybv5sRMttHTz5x00wMLcsveVD7ofVuAKDc1UGKRACCE0EbTh1IeXaRAs33Ni6wtDDytRT0ufT8t6UV28psLymUq9Krlw4ffmie6BcNUe2n/2K4Z4cvlb+4pXikaa5iuzc183qrbt0ZgbDu9+WvJ+NjbC7lOY6IVVPiftkk191sLMfjpt1Sp82vFGzF9ZuGflw87FtxZtrGuggJDERt/oMF/WN/QtXxn+sPMUCPmMYtMzioedi3ERkUsVq74/QeoHZY40bZVvfQgsbT57eHfFRXP1rm1PlL23amK3GIb5MwPAi5biHQqNA1f3QAghNBGdf7DQAFEZr77g/zqViFLkrhTxSMZhDtAXl6EcNnNHh9nmogN2radpiqKZga9YuudLS3uHpftr/96nDE1RlItmAIC5TQ2gA3RRpV3dFov5qq2bCtR/laEpiqL7vTNmuf5VwKRef3PDZu7oMI+TbCg15bh+tcP8pYPqD7yxkQywdLel45LR0hN8u7Thow+NNJCxbx3c6h2hGMCT5+9dv5QHjLn648+Hd+dzjF5YhqYoqi/QzvqpbpvFfNVy/Yb/gG+aoijqNsMCwL3bXwc964NHbbH1BBkxzvSN/OVgYpvv+WTpHlvwH847qxaL+aqtJ+CBDBzj8H6+srQbjde/Hmt7oQrphxunqHufBKBd1y0d5qtBz9hQKsf1q5agxSm0/Y4YPMmW6zdG/Yr9NEVRvQMXGH1r8Jce3hpNB/nlh7bZYbnuCPLLhXaBf3fRlz5rpYF4blVRdiIJ/R2fNVABUvkUXaBv2Mwdo67HgcJvGbswTKIKClZ1wJglx3/nU3wJTARDU0HqOqbPtw4LWDhdgTIUUt3CDP5wX1FjX4lMn+v6GPXY0B6pr2zmDot5vK1NFw65ULHzVNFSHtDtlarPAhXbsQ+Z6Qt01/ZPdj9lxtsYlRKMV6GhGQl7UiCEEJqIuwwDALOIQGM7idi3fvf7t/w+7Hd8rlZ9WGvs7hv6JEwQt/K1zXnL53lt4/PSl7c3ECv3fpzdp9p1su76YPuQ4MVmbXg7/4XBfvdU7Y6Xj3YM/D/92Z6XPwMAQr7jzN6fDHVCpa5qP/xQ/enVkSclUrL85+vWZT8z0k2VqtuVdaxjXnbZRynXDuyr/NwxmJZ4Uv7z9UU5i/2jLz2GyqMqzaUbw8mWvv6b4ueDnB/6S+2JE14Z4PAWpinWFigWer01Hc7Ae1L97mN1ZooBjuT1j04F6YtKNfzHRQogSlG48snAO+WlvLqy6mKVo/XzDuaFRGJ4F2TG3rq35T5JHZp1r1deFyg++l1+1HBvlz5LdXnZacNIwIAULf15cfHgSWMvHnhl5+cDX7HGg6+8DAAgzf/9CcXw6BLaoj1xQv2pZfioyfnyrLWFud4DJoDtOPH6xrN98h2n8++qdg7PaUI8uXTtzq2rJNBdW76rou76YDkh5qfllxRlRfn1Oac6qk+qftcwPDEHMe+ZjJy1uSuf9uqGPHCMT+d/XExW71PV2mgAeL7ok0MrJ9u/fpwfLpSiPnwSfl9IqPcdOWuh2MEzFpWRX1KYMd/nwmK69ZUnKusuDT+mEry4lWs25/tcOyFeYgAArOtSVfmJs8bu4e0JYlfm5K/NkAwk7K5e92rV4Ox53ZqNWRoAIFce+GSTHGDwIoXnt3xy6EWv7TKuz6vKP9R6bfMJ6YvKdWuzJN6nO7QL/LuLMnx2mYEw+U8SBc+HJ/D0F8yf6nuyFP7js4aL7tZ5Z/cdPmsZvER4i5V7tysXkq7PT+47Ujt0mRGC55VFO3L8e+BPsgoKXHWMV3IGTf0lMAmuum1rVGZGlHPi1OtPj2yU6Sh/daO2Jyx204fvrhQAjBTO378OlbtKNe1Dz+Gj7x3j1S1Mt77yRIX2kmukJn1Bkb9h1IRBtK3uwzJ17dXhdMQ8ueKtotznn/BKxFKXqspOaC+OnMxwycrc4reyJA9+ZgXei+t+/lnr0cvGs3WOn/iM1xjvkFnLh2vWDc0hMnTX5ohyTn30+kBPtdDLDCVd+3FZtm9dEbhSGjJ2hYZmJgxSIIQQmohIiQg+tZhr1Zcyip4ft7tyv6WquPhDCwMEb2GyfOGTJEPZ/tDc0a7Zt4YiKrcv9YsH3G4t21h78e7T8pVRAui7/odmS0+HZvsmeP9U/sIwACAiEzJWPuG62tDRzcC82OXPCWYBRzLclKH0+9bsv9DDAimKfSFWMoege64ZL1kunCh2MCfKcvyadl/rd2/S/iFM+kJG1BxwXTUar98wfrhjJ3GiLPupkVQ9tdvWlBopIHhPyxP/UUD0u64aL57Yeu92YqCXOsbyNTu03QyQotgXFghmsdSXl43mT1W//uL6nrKtLzzhm/or9bazxuthorhE0WyYE3QSUNrUco0BjvTFF4N3lOVIXv/d+deDfj2mfsuJt4qrv2IIgfQnibHzwmjKYvy04+KJTS6m7FSOBAAEcS9mzO7vbtZbKI4gLi02ggPwpGj20Aao5tJ1u+q6GSCfkr+wQDCbvdXZ0WpuVr99zfLW0XdXPeW7O5ZpV22tNUBcSkZk2O3Oy63mGxePbj0Miju/U3XMenbpStHsuzeuXbrs6NaXF3PmqLd4zQDvurD7rX2fuQB4kudjo+YRd7uutbZf1R5c19G9t2ztYt+HtX7Th78xfv41LypWHkHC/CmcRyHgD3dfRZ1lzBVbaz+l5i9eniKYddvRcanDdb22dB0z2/t4e2p3rSk10hwyKjHjuad40Nf9B8PF9rP71vR5bTD0/bKOs5vXHb1MA8GLksueFsy6e+PapY6Os4fWdboOv5crJQBmS5JXZvTc7LjQ7gIQxP4kVjALiAV/H/xUMLbqzcUnOmgIEyxMjo3mwe0b1y51WGqPrbv6Vcmp9XK/5+fxLvDvLKqh7g8MkClpz4cDsTgtkXeh9kv9Zw5F4Lgkc716Z+WnfZIXMqLm9DsuNXf0XK7cuAdef6LuqJ5ZKM9ICb/b88fWSzbXpcpdu3kfHVo58iNPSxUUQskBmJZLYFJEis1K/WsVtuoy7YtlisHlVFhb9cm6HpaIyy1a6fu4e9em3lat6SSlL2REzeHc7vmi9ZLtwoliS0/JqbcSQ6lbGHNl8cYqCw3EvNilzz05G6ju5suWzyu3XbUUlu3NGlnPxabeuK7S3E/wnl6aEjufZKnrRsMlo/rtYvq9E4Vxg7uiPz+0bvunLggTPP9ictQTQLuuNRgstceKb8GpQ1kPPqrHe/EnsScuG83GDko5PG9uCIfM4UWnZKykfO/awIseaDzcZwvhft13hYZmAAxSIIQQmoh5GcpV2m1nb9S9/Vr3ylUvr8pIiOIFfa/TU3vqdxYGBEs3eY9TuKF9e035pYaPzmQvfd1n1D/9ea3lJ29/tPnFwfVBmK+029eVX3JoqxqUhzJIADIuuygOqLM9Lx+9ynv+Z1t9Js7s7/hQdaGHJRYq976bN/x2kW4vX/fmWdvpqourdvvMVNejryNW7tWsH3rhQ1s+LC6u+tJyutq4aoucGMrqgZNGisN7Yf3hHcMHQNuqdxSfqB3VGbjv4pFD2m6W98L6wzuyhhIzjtr9xQcbLhwoX/LMbp8l/XqMHfMztv5+/ajX3X5udHcxAE8sWPjEmMkmivq08uxXDPFM7keHlUPvMPNXqYvXVFhOV11YtXs5yZGsKiqC/gvbDZbPQbLq7SKfiTOpC0cO1XUzZFz+4b3ZQy/PWdfnpcW76zpO7Kt85lRulHd6tqO2Y+mOD3f+ZKBXCG05sa64+qsLR/9/9u4+rqkzTxj+b5qd4zIelvYwbJMyDdIGbQN2DWWkMDAwsjKbKd3M0gc/eOPiBx95cKXQWrAqOr6t4huIhcEhN96y8sg2t+zwNLvpZAZuKBRKJg4SRyBWExcTS5OO5VBujs16zX3a5w/ekhAgvESx/r6f/lGTK+c65+TKj3N+53o5S8e8VXVyfG1LtrN0236trVXbuj1ufOi+vaG0pMlOhcgLT02eNM6kOpSvNKhOKmMuFEQ632X163Wr0k6W5cQs9nnz+MXNranzhoZ2WW5lVfp44szWeHDbsQ62+ZImMy49eKyMqlbPgTDlQPmu+PGGk9VxIvegxmmD3tdrqi2u7OIosXx3cd768RkH2c6K/EPq3rpyVWJVZigw8Vm74sF0zrylzhomz9s/2zxzptriSgNHieX7TxRM9IbgjHV7i2q61ceOr754JMn5NzfrD/zbyt7YbCRAJ6yLowGAkq2PZzRqc2OzOTPL07wn5pbWqJzz5WkhfgAAuea6N/Nrertqyvyk2eUlmWOdArjec4Vv1pl1Gq0tJWOsR4ZvQpA3LQd88RNYsJD0wvTW/FpjXXVj0hE5AwA2jfKCmVCynN3u9/lcU02dKKno4juTsaW3pmhnrbGhtPyVl4pinJunp9hCDMrDdUYuQJZdfCBTOl76bseJwmKNXnm6IfrdtNEaSVtdfa8DQtJKqraPl8vJ0OzfdqJTe6ExLTJVCADQr77QbIeA6F1VRyeSKdkGZf7uel1dXbe8IPKB96agw6UhAr3Jar7Nw+gfTe8OWbg+p2D9NH+153iFMGdzDWhoKcA5KRBCCM0LHb2j7GimjAHWqDl3cMvrP1ds2Xn4bH3TZM/VSaK0kvrKgyeLXWdSCJa/Gk0DbzeZ3O/z6fgtbydPrmBKhSqyU8QApKenb/Yd85PtOn/+3QMlR7c693+mIxVJYQLgTKbbbiNRg+Rv5zn1wqWlm7OSGAC276plvKRJXd/tACYpf7fzAdCS9D1ZU6e+t6gvNrEgStkzeXsAAJQ4pSB/PQNc5/uNblN1BCt2F8yWoQCAL9lBHiCICfTNXKSfWW0EICQ63qmXNRWWfrCq8mL9gdkXILCoL7YNAx2ffyDdqXu/QJjwVlGqGIhZ/V6727dMxWQVrp+4CaGlG1PCAQDE8uyUyStIJjYtJRSAWCwD4y/11Ku6CEgyjrqcNDosfU9uFAV3mxvcKhJIsosWP0MB4PmLm2NTpyIz96Q7de0RJW/bKAXgzd194yU5u40F8JP+ONbpvpKJyz1RfvFS1cS1u7f1ch3vqc1EIE4vKljvtCYCE5uzO00aEkxu9k2/qON0uI4LaisIxOlFBc7jNWhpxoGcaBq4NpXa4vqJBf3AH139zY03AALWro8aPXQqMileBGBpbu71ODxeIN381liGAgAoSVp6FAUATGJG+uSwBToiVR4hALBaJiKbT0KQ1y1n8X8CM+6W7tzed/ZO+W+/UjfsVEog2bxDESLg2mpqdBzAcEd1rYH4SbPfSvOwnHCQ3PVs0BFZRdmrKWA7VM2uMzF4iC1s479qbTy9/i2n23UACIrbUagQCUi3Rm0a+5rslk85AGFMvNQ5YKYUlP/qwqV3U8d/SJ9aLDxAWFyi8y9LlnW0vEp9YcYMhcNQe+jgvv3u/51QW6f/jHcY0TMCAAc7SOZ6yNOa6xUCehxgkgIhhNB8BUVnn7546VRBZrIsJICw/YameuXh/E2K7GJVl9u0WhQjjYsJdbukIsADABnh3C9BVq5xXzs9RCKmAMjwPa9m2KPFkYlS9w6ihAAAONyn1qLCZRGu+0U9J1khAOC4L8ZesOoMdgAm8e+mdD8OSlovczsou05vBoE4ReH+BtBrE2Q08Obeay67QL+wxqs1UPj7AAB/QS3zouw8BAoZALA0q3XO078JmDCpkJ599+w6vRWASXx1Sr9cSpqaLAHgdLo+l8MWiCPCXU4nHbCcAgCR2PW2gWb8AYDjvhr7t6lTbwOITJGHuO8Vk5gQDkB6rrre6AbJIhbpeaybab64uTR1gfBlmdsJE658jgEgI8PjJWlhYACA4/L/12B2/jAtloa49F3yql5y7SPdMIBU8foq992O2Fp+8cL5Iylz7kBOrn10hQNYJU9x3yYwiX8fEwDQr9cNuLy+0B/4o8nU3GzigYlPenkisylNSggGGGhvuubpA0HhES7fBuUfQAPAM8Gu0zUEBAYKAPh74/Oz+CQEzaXlLPZPYMb9shn1us6p//VZXKf8pKRZuxVCuKutrDPoaquaWCoio9DjIkiieHmke+pZmCyXUUB6L1912aepsYW7+tE1AkFJKfHufysoaXxCEMBAX89YgGVEIgrA3qZusTnvKiOOEDt9ViQSCQD6tO/1ONdMiVZJmJkHRvH23vaOtin/dZoHZ/yYFwQUAABP7o+2tzkc8gzmdoWAHgc43AMhhNBCUKIoeXaUPBsIe+Nya/tHbc0d3eaWyt1Xu/NKJjrtj3HYTQZjT7/FMmCx2e2fWazTrN1ALfObcrkzevXC3ycAXvZv5foNVz4xW/qttwfstj/ZbvePzRZ+323Lft913+BoZfx4Qd522w4gCAl7bmol9EqJEDqdnk3xFosVgOeuqEpt7tf99wdNBIB8dtcO4HRmvDweyp8CgBFuBGAR51WYIErOSGnYq+lXv7OxOUS2NmaNLDJK9vIqoVd7x1ssAwCCkPAXPBQXrQpnwMx+ah2EaKcJAinPk65OfWlsDPnoP7jb/SwA2NqqTtyYkq6x2wCAvctyAE4PJ8FHaZ2ZvjhvmzpNTbnTGG/q4/8WyNLTpa1njbqz2xQN0pgoWeSaNS9HyUI8TgQzW72DVjsHIHohbBGb0KDVygGIXgh3n/0RAPzCIp6DJoPV8inA5O3c4vzAHzG8sbHZCsAkrouePECBNDlRrKqztjbpc2XR7gc+XdOdLqEwtiyFT0LQnFvOIv4EZsKsLyje+IKHzYrcO09REVkFqZ07G+r37gNCrcp62/M6zdQKiYfX6TCJSKC32CyDPEwmbad+QQOm2zwAZ1CdLG1yO/n8yA0HAM/aWAAhANAJ6Wlh+jpTc/EG/fnIqOiX18gio9ZEBLv+NCSKzdHaw53G2vwNGoksNmpN5BrZyzLJ9GMrJ/Y4fkdl2NT5iShmwSMdHIMjPIBguf/oPszhkGfdspdtBj0WMEmBEEJoUVDMqrjUVXGpWWx33bG9NQadsqIh9lTq6JUisbedK61UGyaXaaRoUagsJqBP17/4D0k4Y/3pkrompy1TjDgiWmrTG23z2Bx/jxAAwXJ/T2MeKLfbLf7eCAEAtrtR2z3N9sj8rrtEwmcEwNotnxFYtHnvnQVE76o8FaKsea/VaOlqsXS1qM4BxUiS0/Nz06SzDPcYPeppThH40/4CYKf0YZkXMvIVAQCboUUz7c7M8wQvDh809ZC0kqqAmso6rc5qbNMY2zR1AFRItCJ7e1bCRO9o7+rlHBwA0FNyBAvBOQgA0LTHbdL+fhQAGXF8a5MPXiIGbaMdALjWM1uuON/LcXYAYDubdY7ohEWZNNQ3IWgOLefBRnv/YEmYlxMW0LLUFEnDOTMBKkahCJsm1+Me0kf50f4A4CAjM1cxwt3nARxWXeN0oyoIGe8URkmzysuY6nP1mmv27lZ1d6saAOjQuI05+ZnRE7kgZv2Bcrquqlpz2WTWa8x6jQqAEkbKM97YKg+b6dugRasWNpHDdKxWGw8gFD0zegLncsjTerBtBj0SMEmBEEJoUQmYyMw92Vc3lRn6ft/FpcppANKtLNzXYAdanJCqWL82fGWIUMTQANBbsUHXv9g7MKDeu0vZzQEjk29cHxfxQsiKYCFNAQxr33x9XkkKwXKKAnDcG+EApjy+5tx7Ly+nKABelltVMN0tx7KAeU3JLgyPCIJe+9XfXyMxUdPd7xFTs/rKXRDFpiXM8sDM020KI0vfI0svYC19xp4eQ3eXvq3HrDlb2MOWnM+RznSLOeMpgq+4ER7Aj16Mm1SK+h4AUDF5VTumPHge48f4oqeJd3zU1KmQ5JyTyTmc3dxjMPQar+ra9SZ9/b5PrLuqj6YEzaFe2o+CqY12YWbcJjfiIAC0v8duM48RcqWpnQUAIKzVyk59f/hyUyeXkLQYySPfhCCvW86DjfZzMtxxocE8upM6VV1voselZAhxuPTEGsNxIwDgR/nPPC7me/QyAAhNe/egwsNsFwAA4O/UxYOWKnacVuwYtvZe6+vtMXTrL+v6O6r3mm2Hq3ZNrCRCCWOyDsZkEdbcd+Xa1d6r+la9uVtduu0/ufNlaVNGvfmcqdNgA6DD14xVPcdD9mQJtxn08GCSAiGE0NxxRk293gbCxHR5mIfrPDqQAQBy30EAAHhDU7MdBML04qrc1S73Kr545G3rbO7mgI4uqDkud7lZnXdlAtEKIYDZ0mciKe7ZAe622e6hcP/gCC8ULe5UCAJpQrxQVW9v/LfmzVFyz/fhbHN1qVJHxJlRaQkAAECNzr5O/uz+IPtLbnC63tQUEyKLC5HFpWTmjc60b1Ff0mUenOkxr0C0Mhiablj6PiEpU3IHthsmFoD+gTjQuwOdEb0iWAhgH+EpUfCDX35vNj5u6rRQEiOXxMjTsnOM1TsKa836Bq01JVPsfb2BYjENZtsnfTaQehidMS9j2zR52iYxmf4TQCAMCVmkyh5R3OWmTg4EwvRTVZvD3N+01RduqTXrmtq5pMVY2sQ3IcjblvNgo/1ccDpleRMLTHLBZlJT1lp/vDbeY+71xg0TyGVuL7Imo40HShQySxALFq+gwMZy94XC2edCnhAgjogXR8TL07dzutJt72jsjf/WnB2rcA3yFCORrZfI1qdm5fbX78xXdvfUN1xL2+G+pz7GtlzQjo5aGp/xZH6H7GwObWYZCACATHmdHRx+3Ptqffs8kIkz7336x99eqq4o+eejx84oL/322ueP5ACjYatOU1d5pvjwoYOHT1ZU17f0epjAfrSkvjL750mv76w1PtADJf0dKlW9SqXunn1+GrZbU69S1atazYu+i9yAoUmlLDtZvG//wcOlSpXWYHPM/qlHAM+a2tW1Z0sPHzq470hpWY26zfgQhspxRq1KVa/pmXwMY2nYu+FnP990ssXDkxmEfIca6VPX1dYq39N7erDGGX5/jQAwz4wuo87/ecQBIJCsXOV6DcGbr/QtQsslrjfbhOMAIFDiPnaau2a46dUg56nEMVFCALbzg8vuR2tv1hiIe+FoMfDWJq37GwBcr6a+yWDl5rkbEJGaFukHnF55vMHqKf6wbWdrdA6gpPKU8X6+VMBTNAD5pM/12Dnd2HPdCcRmaGmo1ZpctyuK//FqCoCwg1O+Z9fTLn45WgzAtn7Q4V6QN2sajQB0TEz4olxCroyRMQC9Wu3UGeNZvbqh1Wh7iL2DfdHUWbNOU6/qdM2F0dLEaCEADN4dnFO91EuvvB9s7gEAACAASURBVEwD3NBqbri1INJbs3PLlm2HNe6re0y9IXAztk2jVmOesu+t2tZhAHF8jG/mLn1UcJ3aNg5ALE+R0VOFyZMiKCCGlsbZr9+84ZMQ5G3L8XG0nzeuS1nWyEJA3Bs58tTtWTE0WBrKL7gfCwAA267VuccQa6O2jwAV8bL7hK/uAmSvrKJguP0D98WMABzmpnqtzjx+6UjY3nZ1rdrgWo6OiZMxAGR0LScArl/fVF/X5jqQggqNTwgFAG7wAV+HcsbaI+Vtw0CtTsucSEZ7f8jT8b7NCOjAAADe2nvN9XVrc5PX6wLNGtDQEuHzJMVQp/LtrO27Ki7++rcffdyp++2/XzyzJ/f/Ofz+rXu+rnnx8Kzu3M4NG7a8U1qjUrc0tXY0adW1Z4v/adOGLcfUHpbF+aRDY+YIa2jUL3iZn7kgfepKpbJSWXG6Ycplgpsb6tNnlJVKZeUHXq3v5C2HWXNsS9qmnYeV9Q3alrb2jiZNfeXJnRs2bitrni6j82iwdda8s2nTlv0V1fXaptaOtmZtQ23FvtwNim2lmsXP88xksEtdqVTWdk5EZ7uuWW9zcJbmj3omk0GcpcfYa7TiMD7kQ5Ts1WQhANd05lCt60IexK6v3n9McxdAnPTq6EMegTBECECMba1OJXm2W1miWlBPTsrfnwJge664pIQDxWIKwKJvNzllSEm/+rhyyv2z18JS0iL9gG0tP652yg5w5tqTNd1TYkCYIi2GBpvm2GHnwkAs2pK9Z5SH91Y0zvtaXajYnRNNA6eryH/zjLr3rtO+WDtqd+fva2bBT7o5XzHxqJMKl62mAAbUpys62NE7E2LXnSs63sy5Xg+ybeeKy2oqTteZXfZZo71CAILCVk6kfKjl/n4AxNjd5XI6wxSbEgKAa6863OC0BZ7VVRSr+oEKVWycMvf7/FCytI1SCvrrD5W22Jz39Ub9oWMVZYeKqrseXvDzQVMnn6iPlyorz1Q1Od/BDus1rVYAaoUkZG710nHpKWLgrariijanv8xcV81plcFkhRXhk/1T6AAaAGzXDLaZ72npuM3j29Q51U/M9cfPdnBAJ2TIH++OFGxrk4EAhCXFez4PwqT14RSQvqbWua//6olPQpCXLcdX0X5hHMYLZ7Q2no7Zum09AxAk35EppYhZVVbvYXVMtqXsTItTm+e6lcXVRgJMXHryrCPJhMnpcQxwbRWHao1OgYhn2yqKD58tfeeEemzLDn3tsYrqigqXeMXbm36rZwHo58JGB1PYGisOn605XqG2OH2RnFGruQEgEK987kH1HRi2dmuU72QXVhs4YOJ2FKU59abx+pCnM4c2I458SQhAdDWlDTfG6uJuaA8X1d304iC8DWhoafDtcA/Sd/6dUx/cIculf7fp9XUvimliu96p+fVvLuvPv1O6/Nz+9U/5tPpFwVs1+wtPdLIAFLM6KSVeukLoT3G23ivtje1GU2PFNpP1SElejHPUisrYnT7SxIalKnwzY81sLI1qXWZBzLT9ckm3RmtZ9N8nb2/YX1jWxQEjTVHIX5GGPOMPX3za192kbtCbG47ljwiq9ic+vGHC80csDYfyK/QsACWUJSfHhYsD/cmgpd+ga77ce0N7YofFVlycvXoxJyGbC2HKthxLfR8Vs2XyG3dcri4sboO4I785mPDAByuixwYVkVWU3VdUbTRU79z0nliy+jkhLSDcp+Yes53jAQKkuUVZY8vaCSQp6dENJ/VtJ7dsaomPkTDgsN3Ud3TfFUZK6W7jvG8p6Zj1cUxni0VVqGgXi5joN8qyIgVAx25IFXeozHXbNhsSYsNFNLBWQ6feDOGyENZgmV9VwYrdOZe3ndG3ndmW1rg29gUR5bD26PUmiMvNuFdZZ3ApHCTfXWDYdqyl7cwWRYMsJlwc6Edsn+h1RpYAHZmVlzrLAN2ZiBQHyh17C88ZetUV/6RRMkLhMwHUiH18FnRakr7vYKbE6cqVScpU1OvqrSb1QUWrMCyI4gasNiJM2Sq/cU5tmiwnTMlSNOxW99bmp3WtTXwphOZZS59eZ2SJgEnYmjG5QqFAtj5JqGmwa/ZvuiIWBr606dRbcTQAMOveLjDcPqLVVeSnNcpiw8U0Gbxp6OgeIBAg2/GLjOmmqZszgTh9V17vjtI2bfGGzksxUWGiAIoM9HV2mVkemPj87MSHFZB90tSp6LTNsvYyQ8fhLVua4mVhDEXuWnWdegsH1Kq0N0bH/cyhXioisyi7r7C6R7tvsz4iOnplEDUyYNB1WTmeCsvITw+dLCqKTYqsNXb3KDdt0IYEiZILj6Z7vq6hwrKKcm8UVhrU72zSR8ZGr2SAG+jr1JtZngpJ2bM76VH867947O1N18joQh7TlGAS14VXGgy9jc2WtIxFSOj4JAR513J8Fe2nw2oObWj1dKu+7IWsqsOjPw/SW1uiGgBqdUaufCwHJ0rN39ycX32j7rQq/lcZLt9LTHrGiLp406b3E6LCAgUjlmuXdf0cUMKUgvwYL0ILHZt/IM26s95QnbtBs3rty88FUvzg7a7L3XYCfpLMHRljUzkEJGWnqa/Umht2b+qJjn85lAHOdrOro3uAAC3LzowbPaawtC0JjcVtXRVbtnQkREtEfsD2G8Z+WYqs1NCZ9mQhTPWFiompiR0cOz7rMb1KsfsXeQmuI+28PeTpzKXNRKRmxDSW6lh92bYNF8TiQN5uGeAoWc7m52qq22c5KK8DGloSfJqkGPrdxd/cIdTzm44e3ziW63s25IW10S+eeOvYh/pL/9a3Pjvcl/UvAmKqKS7rZMFPkr6vODd28q9sgjwt26w+XFTR1q8+fFJy/rh8MqcoECbkHEx4GLs7hm3/oD0nJnmaUDrc0dC6+D3uuPaq6i4OhOuOVBYljJ+nsFXSmCRFcl3htnPGJmVdanzerAtxLzXEULP3rJ4FOjLzwIFMGTO5/4rMLKvmZNGJVmNtsTKiusCbP12+QK9O27U67eHUjR5zftLMsqqwuqpqdYfJatRZjWOvU0xYoiJ7a0aM03WMSH6gnJQcq2kx6bUWPQAAJZRlHt7z8uVt3UYP2/YSnVhYMgzHalpMA2aTnfRasyJDAfykuSVHqZMVqi5jk9oIACCgw5ILDmSQ05vnm6QAECkOVAXUlCnVOmOHxggAQInjdhQVJn5yqHJKYSax6Pxfh1dW1jUaDU3WsRQGLY5Oz8rbnLjAmRSosPRTdTLthdp6TZeVHbCyA6NbF0YmKjZnpkVOXXgvp/gkVVGp1luG7aZhoISyzLyCzaLmbedcytFReVXHmdNn69uMHQ3GjrEXQ+M2b83PjHW+yaQitxfv50t+qTXa+s02znAzLy5SAADAxBdUlUkqK+sajXrNDT0AgIAOiU3LzcuKWdzpI8TyI1VM7dma99rNuuaxzoMUI1mvyHojI/rh3hAvflMXiFOPllBKZa3WoNNadaMvUkykIuuNrfKw8duzOdTrJ8ksKRedq6jWGHrbtb1j25OmZObnKiQut3vBiqPF3PGSujar1cRa/fvYdMk0Z5eSpB+vEtVWVDfou5vV3ZPb3JarmG1pmG87W6u2mwC1Oil5+jEvTPy6l88adP3NjeaM7MW4cfJJCPKu5fgo2k+HDLOeL2qDuLFFpG/UnW6wAiXZnO80zaRAkp6vaMyv760rUcWXO61GSkFo2tEDcKi0vkkztrt0aNzmvPx0mZcNmY7cXl4Vqvxlrba7p0PTM1odJYpSZObkpEyeJyosq+TdgPLKuo7eTq2pc6xYSHRa9vasyWmPmXX7y6kLFVUNXYamhrHvkWIk69Pz35510aWF4Fh2IjlAUYxQsuIFWcw6eUq82FOlXh7ytObQZoTy/SdIZVld4w2WtZpZAR2WnLcnT/5Zac3sB+V9QENLwHe++eabGd6+M2D/+uuvvx/45Hy27fjon/9byccQtevi/p8sd3nn1vns3F9//vzms5UbfjCfLc/RF4NfPvHEE8/OY4Ytu/rNLRXdDmb9Ac+9AMiNmm25dSaeST11cYfTbGpkmOV4imZoCgB4wg1zBMb/6YbjWEIoP4Z27fhAWKtlYPA+FfiMWMx4tyQVp9kpLzWAH0U5CKzOu1iu8Dizka1h56YKA/hRxEEgKk99SjH1wOZRe3fphjc1bFjW+fOZUx4UEENZ9rFGLmRz+an0qX+hHayl3z7Cg79QEhLk4Qw5n8yxHfMLWem8RDTP2fqtgw7KP1gcMsPK0WMVUYFisSjAyw5y1tpt26pvkJDUU1V5nv46EXNtbn61mYRtPX9+PBPvssN3zTctgyQwPDLU5dNen2HCDVhv/2kEngxZGcpQAJbabZtqzKL0qks5kokiLDfZhDiWJY7245srdILoXRcKYimYrukhNGqQ/RIAApl5xfkxhO033/7TyH0elj0pWiERT/tD5Dmb2XR7kCwLDFkpEdKLlbXkCWu336cYUZDrD+2u+aZlcIT3fyZMMlNwmBvCWq2fDU7+KmcpPWy1WAfvg7+/UOwxxC0Iz9msds4BVAAjCp5tZ3jC3rXfF7ifpanIXavFPjgCywKnCcvj5TibnQVGLJqyvbEQJ/APFEumvruYHKzFah/8CvwDhSHTt7uHwBdNnXA2q9X25X3qSdEKsdBzXJ9TvTxn67faRu77PxkSMmNj5u7aBwk1exsb3+Zo61la38hiWIxo+aD5JAR503J8FO19qe3Qz/a1Qsye908mU8BzNrPV9hX4/7U4LHieUYwbMN/+0wh8LzAw2EOcHDf+N2XZjAGTs1ustsH7y5ZcrHPl3SFPYy5thgyzg8NkWZDQy/sUl530PqAhHxgNpKNmCKc+7Unxg7hNW6R/+dya5e5vUNR3AYA4lvo0BZZGbbcDqKiMN6YZp0CtStscr97Xyra2GHKjxueQ4Q2V2TsbWGnuxfJ0IQC5fHrLwSZOmF5+MVfq+nneXJ27rdZKJxy4eGS8eyp3Q11ZWdfYMz7NjICJSErL3Z4WMXVRN0+YWEXstXqNUa0xKzwl461NGgMBJkWxplPlYarFedd+nxAAWOZxjTFKtuPCpR1TX2cNqgrlhXbzxAROtGTd5u3b0mVOZ3v0ZA5H738v577yYGXj2DwLVHBc7sGiVAlYNBWHzmlNw2M1hSTlHChQuK81wBpUZ5UXWicqokSr5Zm5WSmrZgufPWrNDQIB67KzpsmfU5LUNNmFY3pTu96WIRY57/DFrJGzxZWtVgJAJR1s3hc3+gnvz7CtvaZMWa8bGCtIBcdl/6IwZupZ1B5SnDHQ8qPad6KB7zi+8WDb6Cd4/YmNGwAApDmXKtMWaxZ3hDyhmFAp402/UwEtWiVb/NYooJhgD/2oqSBJRNCi9+akGLGEmWV1T6fSAeKw1V6XnisBLQr1+gAFFCP0ak+oIHFYkBclKVrk8aEaAMWIw7w/Rwvhx4SsYpbifAe+aOoULZLMtiTHnOoVeLFBAACgg4Te3m54vU30YPgkBHnzLfso2j8wAlq0aqEtmQ6WRMw+Zax3f1NoYYhUuBRjnSvvDnkac2kzVAAj8u7OaKo5BDT08PgySeH33E9ef87TG0N9n/wJgBKHPO3D2hcBe6XLDEDFrJ9hMCWdcOD99gMzbsZvbUo806Sxt7Uac6WuWQpzc9sAQMDaV6PHMxT6im371RYCtFiWEC5cxrM3uvS9jcp/umY6Ul6U4M0YQr81rybrNXXWJo1h81syt5wBMag1/QBi+atr2E6V+0cXUvsKiRgajb2aOp28IMabqDGg3bejtO0uUEGSBFl4oN+I7ZOrV260VO403nynZH+ya7cXnnQrizTtEJkoX+E3crPrcu9AR1lRCaTdu6A0LHspLkXsf3+gT9dltTRXFAoC6/bETUYfe8vhHcVNdgBGEiMLE1H3b/dd7u5Rn8g3WI6W50bNFKZMeoMNgIlNmmEoB518tDl5yqv8SNuZorZOTrRKtvKvKQgda0Hen2GbZu+2Uj0LFLMqOvYFIeWw9+g7Kov+PBI7c2pPGJks93dYOpuNrEAYmSR7RgAQLPaf8TMIIYQQQgghtET4duJMj8i1S7++RuCpH6/74ZQuFksKbzJZAQTiiPAFptuoyOR4kUZta2/uzZE6T8pgam638MDEy18effI/3HH6pNrCMwlvlexXiMfyC8SqOVZ4orXleMUrqw+v82LsFLUyRR5Rr+xt1eq2yhJc9p3TfdBsAyoiRb5SUOf+uYXVLpJnpKr3Ngxo39liSUndkCpfGzZTLyp7w4mKtrsgii84tU8eMl6ZRV2cX9HRdKY0IvxUqnMiljdoDHH7qw+uH32RM1bmF6r6W8rO0jFvVZ1UjOWf2c7Sbfu1tlZt6/a4lIDxikpLmuxUiLzw1Fvrxhdw5kyqQ/lKg+qkMuZCQeT0M4ze7rcDUKtWz33ZPN7Y1ifLrjyQ6Txg0PszPKA+flbPCpiEt0r2p4yX5Myq/YWVmhknnRJIUgsKwNGyr93YBpLUdwpw4kyEEEIIIYTQI8TnS5C6G9KVnfngDr987aZ//NHSzlGAgx10AAgCAxc+qYpUvl48Or2z04u8sbHdDiBMlo/1d7CoLzaxIErZM3kHCwCUOKUgfz0DXOf7jd4tTUUJ5alRFAx3fOA2QSbb/kE7B36y1GTh1LvuhdZOR+8oO5opY4A1as4d3PL6zxVbdh4+W9/U42HxUWKoV/UQCJLv2DORoQAAKkRRuDuZAYdB1eA2Tw4Vk1W4fiJtQUs3poQDAIjl2SmTPeSY2LSUUABisQyMv9RTr+oiIMk4WjCRoQAAOix9T24UBXebG6au6jyJHfySAFCBzDyyVFRMzp5M1ymNvD/DJnV9twOYpPzdKU4laUn6nqzpF21BCCGEEELzRNEME0DjLF4ILQUPNknh+OTCodIPPwdhYv6Ov1viYz0AeAAeAL5LuT+LZptKd775tut/pS22GTYlkCQniQHY1hbD5B27sbnNDiBOSl41+m+7Tm8GgThF4T5GA+i1CTIaeHPvNS9n8aAT/j6JAaLTaJ3nsbdo1ToCTPzfJ3gYjrEYtQdFZ5++eOlUQWayLCSAsP2Gpnrl4fxNiuxiVZdLuuSmTm8DCElSTLnlpmNSkkQANn27y8rVU/qz0AHLKQAQiUUu3w7N+AMAx3019m9Tp94GEJkin7L6EZOYEA5Aeq72TX88BHgAoDzOszELgTgy3C255f0ZtuoMdgAm8e/i3LMjQUnrp3waIYQQQggtUEzBRfX7l/Yn4oUWQg/fAxzuwX/6H8cPvWciy1/Y9Is3Yp56cBXPl58/JQDg7404AFziFWf7xNBtdi38pXTmO/iQJHlErbK3s6U3TxZJAQB0N7fbAMKSksaWjuctFisAz11Rldrc76jvD5oIAPnsrh3Au2nPohTJwVqVWasxZozN1skbNVozCITJimgP0XfRaqdEUfLsKHk2EPbG5db2j9qaO7rNLZW7r3bnlYyPy+BuW1kAaqXU09ZCw1dS9ba71tsOCJu8R/ecKfDw2tjJhLGK+lkAsLVVnbixzL2k3QYA7F2WA5impwRNfQ8AuBGOeKxqRpT7J7w/w7ztth1AEBLmYUYXeqVECJ3WOe4MQgghhBBCCD0aHliSYujj04cqu+5RP3h114ENzz8SXdYFjCgIYMBmGQBw6XogTi2+uH48J0EMVdtKOzjBbDexwUnrX6rpNeibDCQymgJiaOtkgZImJ43fqPP3RggAsN2N2u5ptkG8Xw5FIElNkaiU5ka1PlsaTQEQ/fuNAwCr5ClST+UXt3YAAIpZFZe6Ki41i+2uO7a3xqBTVjTEnkoNAgBCviIAjL/HHnXUd/39ADgysghrv5CRrwgA2AwtmumK8DMcFiMS0uMplfkuKj5ZkddnmL9HCIBgub+n3AnlhxMSI4QQQgghhL61HkyS4t4flXtPtH4OT/94x9GctX/1QOpcOIEk4gUaBuw6vTlX6rLGm/PSNZzh3ui8BYGzbI5JXCerNOhbWww7oqPB0NJ6FyhZUvLEPAuC5RQFwMtyqwoSpkniLAuYw62yKFkRU1uqa//3tu3R6wO4tg86WKBiUuSely9a7NqdtsxEZu7JvrqpzND3+y4uVU4DUNT3qGl7KPB/HiEAAsp/EXrbUdT3AICKyava4an7CACAHzPDlCOrpGGU1mC5omczFNMWs+sbWq2EDk9Okc40e4n3Z3i0pOPeCOeWHQMA4LgZJ85ECCGEEEIIoUfZA0hSkFuXDh3+90/JU1FvHS78yfd9X+GioV5OWEs3t1g0l3RpRdMsQsm2tvURgDDp7EuAMIlJMUp9m75Z55BRbXrWbXFTgWiFEKB/cIQXiua9wrBLfUn/EK/UNRoaGu3rY9sbuggErHs1cZr76AXWzhk19XobCBPT5WEe7sDpQAYAyH3HaFcBeoWYAb395g0rxEvcy5r7bhIAoVi0CN1t6BXBQgD7CE+JgueTYWFi17181qC7pn7PKM+Vek5zmNTKMpWVji9K8dxHZZz3Z3i0pNnSZyIpUW6VcrfN3s2eihBCCCGEEEKPIJ9PnGn/7fF9Fz6591cvZR/e/Xc/8HVti4yO3ZAaCsC2HD/ZYuM9FLA1lld3EaCkKUleTBVBx62PpmH4cltrR1MnC/TaV+OdMxvimGgx8NYmrWHKAASuV1PfZLBynvZhelRMSpIISK9GrdFoewmIkn6eMG0qZWG1UyN96rraWuV7ek/P+TnD768RAOYZ8ViKZOVaGQNgadZ2O9yKEp222caDKGptxGKsnbkyRsYA9Gq1pik7z+rVDa1G28z9EpikTLkQeKvqhFI37OF9cqPutNoKwCS+OmWSS3fen2FxTJQQgO384LL73tmbNVM/PT0ytwaDEEIIIYQQQg+Zb5MUQ50Vu892Dfk9t3HfntefewQnyxVINhdmhFHAthdv26nUGJ2WqHBYdbV73zzZwQIVlp6f4lXvAypmfTwDXJuyvG0Y6Fi5W++MMEVaDA02zbHDaqvTnSixaEv2nlEe3lvRyMLcrFakSACs9SdUVhBIZn7Uv6DaKdmryUIArunMoVrXhTyIXV+9/5jmLoA46VXZePGotI2rKbCrj5e22CYrIzZtcZmWBT9ZepoMFgMlS9sopaC//pBLRUBu1B86VlF2qKi6a+YsBRWRVZAupsCq3pd7sLbVOlmaZ3s1pdsKa3odwCTnZ083nMSJ92c4LCUt0g/Y1vLjziU5c+3Jmm5vchTUcn8/AGLsnuXoEFoQ0t+hUtW7/degadEZ7Q+85dl19fWq+g7LRGJuWF+Z/fOk13fWGhdheptRxFj35us/k29TdntKWSKE0LQ4Y9PUaNmgbdObWfenNb5GLK31KpVaN9Ev0wfR0ifbRAg9Tnw53OPzD46fbrLzAPznvz25/bdT3l/27D/885GfP+vDPVgElDSr5DDZe6S+11B/Ire+jBGGCJllhL1ttXMEAKgwRVFJlsTLBAwVJU8UahvsHACTMnUxySD57gLDtmMtbWe2KBpkMeHiQD9i+0SvM7IE6MisvNSgue6+OCVFduGMgQBQL8lTQmcsu6DaqYisouy+omqjoXrnpvfEktXPCWkB4T4195jtHA8QIM0tynLqHCFO35XXu6O0rbl4U9/7MVFhImq8LgGT8FZB6qIMeAEAwXhF2uINnZdiosJEARQZ6OvsMrM8MPH52YmzdYCgZbklRWRXcUN/R/WhjgulQlEw40/Y2wNjDUAUn3OqIG6m2SgmeH+GgxW7cy5vO6NvO7MtrXFt7AsiymHt0etNEJebca+yzjDbUcvWJwk1DXbN/k1XxMLAlzademvWjh4IzRnpU1cqPbdGSihLz9uTHevVL2MR8Oamc8omiA6Ux4WMtvVPOjRmjoChUW/NlE4ZVjYLztJjHRHQK6Ri5x+OpbO5myXANreZciKjFm3fEULffqzhvXM1Uzt1AgD4iRMy8nZnyB7Un2mu5wNlZRedEqqIGR0Iu6BoCWy/8TOOCpRIXEbpLmybCCHkyyTFvSF2NH9K7g19cc9DgeWPxmNeJjrnV+fXNtT+a0OrwcLaTawdAEBAiVYnpWZkpEYL59BFRCBNSRQ2qOwgjJ+aowAAJrHo/F+HV1bWNRoNTdaxq39aHJ2elbc5cV6zKiQpEmoMTcN0zKtJs94uLKh2P2lmWVVYXVW1usNkNeqsxrHXKSYsUZG9NSPGbQPB8iOVwtqzyvfajW2ascK0JC47Jz89alFvbMTyI1VM7dma99rNumbz+E5J1iuy3siI9i65ELej6vwr9edVmo5uu91ywz62jVVrU9K2bE4Se98AvD/DIsWBqoCaMqVaZ+wYPT2UOG5HUWHiJ4cqZ6+HitxevJ8v+aXWaOs32zjDzby4yMUYPoOQB8Fx2anjl9c84YatN/XtbWZD7f589kD5rvgHladwE5WxO32kiQ1LVcz9+thxubqwuA3ijvzmYILTDycsNSfb/u+3g+Tpi9PTCyH0mBFIUnLkYwvPAyEcazHqW/XWtnN7bw+XnN8+zdxXvraQaAlsa1l+WQ+TevrSDufAuKBtIoQQfOebb76Z4e07A/avv/76+4FPPrAd8oUvBr984oknnp3X1ImuCDdgtw1zQNGBwWLGlwupkmGrxTp4H/z9heKQoAf9Z2thtRO233z7TyP3eVj2pGiFRMzMvAEHa+m3DN5fFvgDiW+P1MFarPbBr8A/UBgy205Nh7BWy10OBHSgUMws4KmH12eYsFbrZ4Mj8GTIytC57zPhbHYWGLEI+1Gg6Q2yXwJAIDPnOM9pdspLDRCVpz7ltvwN16ssfFNlJkLFry7kRTyAAMZ3HP7ZwSaI3v/ro+sX3todLft+7iFJgRB6zM07WoK1bsuWGpPAQ1Rh20vzD2ktIMmursqcucfr4mA1Ozec6KJTjr+/K3oRttaQv8FDkgIhhKYxGkhHzRBOH8wSpN8aFB0sDluskQgz1xQgDlvtxWScS7F2igmVMt7/ofVjaw8CQwAAIABJREFUQqSM54VRF5cfE7JqoRVRjDhsMR4Me32GKUYsYeb/VdAiMeYn0INHR2TlpDTvbLC3N/XlRYxeuRKO5Qjlx9B+ADxnuWH6bGTZCplU5JzC4Dlbv3XQAcsYcVjwjE3XwVr67YM8JRJLRFNW6h1FhlmOp2iG9pAkcbCWfvsIUIFCscg1+8exLHGMEB5A8OeRuyxLAUxsgyfcMEcENBPgYZOEtVoGBu8L/APFEg9pwdHPjm+K3LXetA8CJVohEdKYB0HoMcbE52THtu9rN7e2WjNDxQBu4WLswY//c9FhLqNuCTdgvf0nsuxJoUjMzBRGRuPqCCwTicOEnuPq/KIl4ViOjA59JSMsy7LgFC5n2uYs0dLts5zdZLXd5/0DQz0XRgh9K2GSAiGE0GKjwiPCqIa77G0rCzIGAFjtIcUZgyi9/F1p8+Ez2l6WgECSfb4qczQHx9t1tRWVDXrL+ChAKliWmpWXPXU4FWdsqCi/0GoeG04ooCMUhfu3TtkB3lCZvbOBleZeLE937kXHGlRnlRdazeOL6VCMNGlzbk6qlAYA4DuObzzYNrplXn9i4wYAAGnOpco0EQBY6/Oza0zCtPMXcsKcbgk4o7qysq7ROLZHIKBDohW5eVkuY9xGP7sq59I/S5pOll7Q28cK0+L1mYVvp0nx2huhxxW9crUY2o0Wq5WAmILJcHGxkFYVKzVmDgBiCt4/mTIaJ4iluabynFo3HkWAFiek5bydEc24pSp4tltVflrVMR5XKSYq7cAehXv984uWwGr2bygbG7fKNR3Z0AQA1Hh3tmm26VW0HP3scPT+S3lUXfHpBiPLjxUOk+ccyJOHPIIT8SOE5gqTFAghhBYfNXq57DZRXH/d3ga9yU8cGSv2h8CxidZ4a8Pu/LIuDigmInbNSmbZoMWg6zGojuT3DpS8m+k0MzFnqMzfq+onQAsj42UraBj8T4OuoXivQPF9b/bJ3nJ4R3GTHSBAHBMVLqLv2/ou64zash19lsPlO6JpAGFkstzfYelsNrICYWSS7BkBQLDYf/pNsp2l+Ye0FgJ0aHRCuNCfH7xpuNzbWfdOn3FH2alUtz5lxKr6RU2DVRiZJF9B37ddu6zrtzadLeL8qk6mLHxAIkLokbTMY7R0XK3+hb7tLhMmi36GhpCxXpykt6ZwZ62RA0oki3s52B9YS2eXsa1mb48xr/yoImQyT8G2nczf12gHAR0WvXa10J/c7evsqtt7kKR4s0+zR0tqxVp5SpC9p9VgISCSrXtZuAwEEtH0GYS5RUue9J4r0jSyIVHrEoXLRqwGncFu0pTmE/+6PTgXOELffpikQAghtNh4c+9/EgD6mWCX8VE2vSFEXnTprXXOF7KmuuLKLo5alXakOCdmvDhnUO7cW99bW3wh+nz2qtHXSLeyVNVPqFVpp4pzIsdL2lpLdx6r1xGAWR6v2RtOljTZgYnPK9+jCBmbVIjrrSl6s9bYcKYm4UJeJCVJLSgAR8u+dmMbSFLfKZhlTgq25fRJrYXQkTklR9Ml47OH2ttKCw9rDZXFNaurspz7XIBZq5Fm/OpiVsTYEBVWd6bwHbVVp1Kb5C69MxBCjw1y44YVAETBrhOx9+t1q9JOluXEOI3yIAbl4TojFyDLLj6QOdEB627HicJijV55uiH63bSxdCfXXH680Q4BstwTB9JXjZUkVu3hwlLV3Vl3yZtoSUemF0QC22DbUNbDxPxj0SxzUsw1WvKGhnZZbmVV+nia2tZ4cNuxDrb5kiYzLv2BjLxGCD1ETzzsHUAIIfRtY9PUaQYAAtb++CXXN4IVuwtcMhTg6HivwUz8ZLkHJzMUAEDLcnZnSIC3atT6sY7Bw82qZjtQks1FkxkKABAl5u32phtCT73KQEAoPzB5zQ0AdERmYXa0OMTPetM658O0qC+2DQMdn39g4pobAATChLeKUsVAzOr32l0XsRKIN++YyFAAABOTtSnBD8Ded2X22waE0LcQMdfXtnMAwphY14UwBJLsIpcMBQDb+K9aG0+vf8spQwEAQXE7ChUiAenWqMdXObVr6js4oGK27pnIUAAAJZbvzls3+8xaSyFaAhWZuSfdqSOdKHnbRikAb+7uezQWB0QILQT2pEAIIbQAg9aeLoP/eHfl+8PWXp22odXMAR2ZuSXGdRUk+oU1Ea79Bcg1vW4Y6ETF1DxDSHx8WI3Z1Ge08NFhAiDX9D0OAJk8xX0qWSoiOSlEXWeZcTdNnXobQEiSItJtYSaBOP34+XQvD9aFXae3AjCJr8a5X/RT0tRkieqcWafrI4nRk1fZjCzCrUszLQ4RAljZkWEAHPCB0Lcbz97sMvhPRATH0O2ejxrUHRYHMIlbNq52LRwki3DrL8Bd/egagSB5Srz7cAdKGp8QVK8a6Ou5C2FCAFav6wfwWzt19Xk6OimWadGwM+3mkoiWAuHLMreywpXPMWBkR4Y5ABzwgdC3HCYpEEIILUC/et9OtfuLlDBha9Hu1Cm33VNGZAz2WzgA+ER9/KR+mdt7xDLIA9y1fQEQBjBotXMAIomnBXZCw1YIYMYkBXe7nwWgV66SzFRqTniLZQBAEBL+godxJqJV4QyY2U+tgxAtmniVotyntxBQo8PRidtwdITQtw9vrN29s9b9VSokKe9owZQODgJwD4kDpts8AGdQnSxtcp8jc+SGA4BnbSyAEMButxGAVWEr3bIMAECFhYUAzJSkWBrREmhqys5To5/GaInQYwCTFAghhBbATxwTKxlfAG/ZMj9aFBoeEx/n5WK9nIMDALAbmrTTlOAJGStJAID28/QATfBdfwqAeHhnHBn5igDQ/ov4+I2/N0IABMs9b9Of9hcA6+Bm2imE0OOFiUxaEzieX1hG+TPBkojo+JhQ7wLTCHefB3BYdY3TDbcg5CsAAPiKuw8A36Pd0xwAALQ/NfP8PRgtEUIPHyYpEEIILUC4Yvc+hXcZCQ9oigIAJrmoPFM6zYUzNXpNT/tRAMBxnkYjk3sjs1zeUtT3KABuhJt9gk1vCZZTFIDj3ggHEDDl3a+4ER7Aj8bF8hBCYyhp6p6iWabjncFo0iE07d2DCtE0G/EPcio5wo0ATAnO3MhXM4dBjJYIoYcPkxQIIYQemkCxmAYzx0FgsHDm53ajJW0mEwtS98tuq+kmDzDTpT+9QsyA3n7zhhXiF6kPs0C0Mhiablj6PiEp0e5X17YbJhaA/oE4cHEqQwg99oLFKyiwsdx9oXCGlT4BAIRiEQW2AdNNDkLcAisxmWaZ9hKjJULo4cPVPRBCCD001EuvvEwD6dI22qe8Z+1o0HSY7pLxkrLVfgBGrabfrRzp1rbbZhulvHKtjAGwNKp1bl0xeGvD3m2bsveqzO4fmW2eCPHL0WIAtvWDDvfeHbxZ02gEoGNiwvHZIEJocQTIXllFwXD7B+4LYQA4zE31Wp2ZHQuXjCxGAuC4rGl2n3yCa9e2Ds9SD0ZLhNBDh0kKhBBCD09AXLpcDMRQeVCpc76cHjZUFxeXlR7cW9c3dtkdkJSeJATefKG4wrmkrbXiuGZqhsMdJUvbKKXgrvb4Sa3FMfEyZ6orqe40WzjhyolFQ6jl/n4AxNjdNctCd2GKTQkBwLVXHW4wTw434VldRbGqH6hQxcYpk/AjhNB8CZPT4xjg2ioO1RqdohPPtlUUHz5b+s4J9Xi6VpiSGkcD6T530LkksWqPn52SJphiDtESKH9/CoDtuWKcecgdRkuE0JzgcA+EEEIPERWxtSj3k8LKnvp3NjZHRK1ZKfSHYesVvcHCARUs35ElG3+8RkXmFKT37VWZ1e9sNsTEykJoMthvaDOwIRk5KY1KzcyPBwXi9F153TtKde2lm66pY6LDRTQZvKZvM7NACVPzsiInnuIJZOuThJoGu2b/pitiYeBLm069Fef58plZ93aB4fYRra4iP61RFhsupsngTUNH9wCBANmOX2SEzXvwOUIITUHH5h9Is+6sN1TnbtCsXvvyc4EUP3i763K3nYCfJHNHRsh4zKGT8nfrzPuajdX5m1qj41cHU8Ru6tQbSXhOdnhNdfuM1XgfLYGOWR/HdLZYVIWKdrGIiX6jLCvSY9zDaIkQmgtMUiCEEHqoKEl6SZWotqJare/tbOkde5GJkGfk5iginGdZo2W5ZSWiivLqVrOu0aoDAAETkXbgaCZ1odGLisTyk5VM7Vnle51mXeNYf2Vasm7z9m3pMucsBBW5vXg/X/JLrdHWb7Zxhpt5cZ4vuwGY+IKqMkllZV2jUa+5oQcAENAhsWm5eVkxUxZgRQihhaEjt5dXhSp/Wavt7unQ9AAAgIASRSkyc3JSJM4DJpiEPeXvistP13eYOrUmAABKFJ11YI9i5EzN7PV4Gy2BTiwsGYZjNS2mAbPJTnqtWZGhnjeJ0RIh5L3vfPPNNzO8fWfA/vXXX38/8MkHtkO+8MXgl0888cSzwRgCEULI3SD7JQAEMksgzvMca7V+9iWAP7MiVEjP8GCNs5v6bSPgLxJLRFPnip8VZ7dYbYP3lwWKxCEzzNdJOJudBUYs8qIbMmGtloHB+wL/QLHEm/IIoUfOEoqWANyA+fafRuB7gYHBM8YonrOZrbavwF8kDptlemKP1XgXLXnC2u33KUYUNHsVGC0RepyNBtJRM4RTTFIghNBjbUlddiOE0JKF0RIhhBbIyyQFTpyJEEIIIYQQQgihJQGTFAghhBBCCCGEEFoSMEmBEEIIIYQQQgihJQGTFAghhBBCCCGEEFoSMEmBEEIIIYQQQgihJQGTFAghhBBCCCGEEFoSMEmBEEIIIYQQQgihJQGTFAghhBBCCCGEEFoSMEmBEEIIIYQQQgihJQGTFAghhBBCCCGEEFoSMEmBEEIIIYQQQgihJQGTFAghhBBCCCGEEFoS/mLmt8mf/wzfwBeDXz6YvfGR//N/ePgOP8g+2keBEEK+4HD8FwBghEQIoZlhtEQIoQUaDaR+fn85c7FZkhSjvvnmm0XYo4frG+D5rx/2TiCE0JLz9TffAGCERAihWWC0RAihBfr6m2+e+M53Zi02S5KC+u53eZ5/8sm/WqS9eji+/PJ/P/HEEwEB/g97RxBCaOkZBgDACIkQQrPAaIkQQgs0DALB7DNO4JwUCCGEEEIIIYQQWhIwSYEQQgghhBBCCKElAZMUCCGEEEIIIYQQWhIwSYEQQgghhBBCCKElAZMUCCGEEEIIIYQQWhIwSYEQQgghhBBCCKElAZMUCCGEEEIIIYQQWhIwSYEQQgghhBBCCKElAZMUCCGEEEIIIYQQWhIwSYEQQgghhBBCCKElAZMUCCGEEEIIIYQQWhIwSYEQQgghhBBCCKEl4S8eRCX3Pu36WHfNdOfzkT9/1//Z59e8kvzKc8sFD6LmBSK3O9V/sLm9SC0PFIpfDH/xadr1EMj194oOqcxBrx08snVNgPeVsFf/40PTfwXK5IkSeuG77Jn9979uv+P+IrU8MGTVS9LnGcpX1Y76vPnULyo+JrL/+58PvPasb6tCCD1A00bI0BfDX3zaZ/HM94YvK/ecUrOSjAOHMl5cvADpo83O6rPL6o/vkL98/m9fW/PU9KWsH/9a/xnQL/5EHsF4vekH8ffLF5ZS0/1c39BhBVG0IlY8elHhg3Yy3+sTtHi4681aI+v6GkXR9DOS8IjnhX4ury/l60nPv52/pBmxVBbxLO3ba3u8nkToMeLrJAX5tPGXR/9H+6f/NfHK79sa6/9n6M/yi7Jj/9rHlS8YMf6H8txVj29R31+j2Lo96yfPTlxBWH//4dUhAkMftt/auibS6zp4a7vqnHroxZwf+/CPiqm1Vvkh8fgWvfKnee9sT3rWZ1fMjusdH93hCLS3Xh167dkZLpERQo+WmSLk02vStu/MesX7292l5Gan9hZH4GrzH+5kvPj8PDYwdPu6jaOY513vPRa82XnyG7pcd05PniWr/3vGimnKkMv1Fee0Q4zi2Gtz2PID+fvlC0uo6fK3WmrONcNaJjlWPHoOF9ROOGvvHU5Ai1981vkLmef1CVpEQ1fra2rNvKe3/J6OTt1emLH2qfE7/KV8PTnLhfH2t3J+9LSv6sbrSYQeJ75NUnz54ck9lVe+FDz1glzxDz9aLf4r4D7taaqvb+z/TUnx8pKT/+25B/gwaf6eic36+ZqxgM8Tbvhzc/fH+ptX64/vtpPTB346Fo4lP9+a9fkH1u//NO1vHt6uzuipH27c9MPxqM4TjjUbPuq8evN3x3bfp365K95H8d4vNuufXoMusibtJ/gXBaFvIfcIecf8h4/bb12tO/w2u/d0wY8ewTxF5MaCtJGWIYnitfmlEtiPKt6u6GUUJ+vynP8cLHSz8/XUj9ZFntN/fKf5w1sZWZ6rJt0ftg8BPP2jpL95JP4qL5Kl2XQX0k4cXTV7TrRD7IH3fxHv9Ex76V+fPC4Ez8u3/lQy9tUQwg1Zb15u/8Mdfd2BvC8OVb29drQ1PgLfl/NvBwgZHjJ3f9h+/Wr90V3kyH/Pi/RNGMHrSYQeJ75MUpBrqv/3ypfwVOz243v+drzXRMhzL6wJ/W7BgQ/6f/M/f6/Y8+PlPtyBxSJc8zPFay4BMWurWXWgsOZqe82/6H+8K3r0WdlTazN2r30oO+ilwBd/olC4dJDLyLhVt+/tmt7Wmvf/r/hpLl4XjBL/bPuBn/lm2wihh85ThDSe211Yf0urVMl/uF36yN32Cp6O3/qL+Edls7Oj45OiKj5utX70oTnzeYmH/thE39zFAYh//FPpozASc9Eszabri3ay5K9PHheCp9cqXot3+ZVtzfnjucJ9vzb/r7N18rU5LwLAo/B9Tf3tZKYrlG8XNtzR1v0uLfI1oU9qxetJhB4jvpw480/9d75e/mTo3/7DT1zHdSx/KflHPwC4d+vGpz6s3bcoSVqm/BmAoa6O3vHXeMINsUPDHkZVkOHPzdevG3tv2T29Ox1umB0aYjnH6BbYoSGOeOwoSLihIXaIm8OWJ/k9n5YWSwNYrxuHJl6c6UDYIY818WTo9i3jH68bb7Pc1J3kuKEhdvJjo9sf/zf54o6x96rx5ucePuhSBWe/dd3Ye938GTfzMXGf3zH3XjfevDPkmL6Qg7V6tzWE0NzR0syt8u8DfP5x8/Xx1wg3EdCA56zXr+r/cN3uFk0W92cOQIZmKuYc0MgXt4zdl6/e5qa+5b7zQIbu3DL+8br5Njs1GBKOHRr6nCOj/8sODblsZ9oQCgAO1nr9urH3uvULz++7fJb73Hz9qrH3lt27AEb98CfxTwF81jH5dTjjOlu6ORA8m/S3U1LVs+2VO+//fLj+IeA+u2X845TvfbT26958y1dnbQze8XnTHT2oq7237MPTFpm9nVy/ZR9yf58bYoeGRggPAP+H+4J1uTCY/nuBiRN4fZrmNL8/2chr9N9kZv2YBv5z/ce3xl6a4fua19XLg7ieBFqa/rqMAnLzqmnil+jr68n5BUa8nkToUeDLnhQ/UBz9F4XHd6jRLPIj/cRG8Lw0lILPONtnLAADAHDn14Xba81Pv151buvEoyru1u9qzr6n7f18PKJSwh++nvdWZvT3Z946Z6zZXai6RZ5JPHB8V7wf23w8q7SbSLf+S3ma22A/cvVXOYW/YYWvHTv/xpp5PPWhaH8agHOQ+xMveToQAAD+qnL7HvXQizk1pyf3gmf1dZVKTad14nor4Hn5P+7Ie+35iZ1pfzfj0EcQvbP+6N9Sk9tfufXigeebS8/U/WH85NDPJmXsyEt90X0oJf+5vu6sUn3ZOh7/qWfWKDJdJgQZPRXWD2uVtb/TT/ydoJg18uzCrYlC53LD1+t/VXnp41sTF3j0s7EZb+1Ii3ikRlQjtMRRUqmEUn/BWqws/A0DAEO/O5r2y6vCtNMlL35YXPE74xABwfNZyl9mjPbuWtyfOQB38z+USlVz73gegaIlr6Ruy9m4ZiL2jga0/712T00mpzyh/OgOAaB+8ovf7I6dGusmdv78zz5XHqlU3xqrnXrqxaTM3JyfPT8ePljt4YyKP47tQvPxjGYAoNbuee9QEj1NCAWAoav1Z8/VfXxr4oqcfj4xIyc77W+chhtM7O3F7ZTqRLn6+tBoYQEt+enWon/6qXjm6E+tTYpjtP/x+f9qvZoTscbtTe73H+r/f/bOPa7JK0/4v5lsH4fp4zjEugRdApaANaJN8BJBUDRVX2Zx2Q9+0heXLh1cHRwt1AverbcqXlELxYHKKyMrK28Z2WZlmxdoFAwSg0iiQKgmjCYUE1Z9GIbHMp5uZt8/EiBXSMLFS8/3wz8kT55znnPO7/L8zjm/QwOELhYGeVgrR9w3H32G4Pw2f/Hx0+JWc5MSvuGJB3as4pKdsvxj2ZJWi6Im/ASJG3cm8ezUtH0vM5jcxQnrfrOSO5zckKM1dAHoVvHvci9e77M+DJIbt2lXikMFBhkn+QXF1/t7hPCdvviD1DXxZptpqstK/lRmvrOpPis5CQBg+pqLZ1aywGW/0K1X8vNLpK39DUiy565IXZ8ssC7XU5ON8RgiNJQD36iMjzoRBBPgor+89F7Gzp8En/EkAwD990BwYbT9SU8VI/YnMZhXhzE53cMO03d19d8BvBk87e9eQOkjhyUO/VPXmrzt0q4tRepewjc0MvbdQNJEaW/dUNy6tHsHffLMentvawBaXbR3V0kb8ovZeXR7tB8AMKOFvPzGevX1q3rRKrZNJVRSOQUMv2ihVxYFQHtLZQQg2QFe7b6lZac2H/imE3z8BO9Fcd4CulN9/Uar5PMdFHx+eMWgyZNQe+mBInG7H2/x8kDyubGpQfGwXZq/l/7Z54d/ZfVDU7t4z+acRhoIJnf+rBDmOEqvUjSrSo9ubnl09GTSgOkyfn04/bN6mkFy5i/nBzHhzzrljTqV+Fjan4kvdkRaFiX2tuZv21H6EBF+04XzeSwfmmqtl96py9/TibI+TxrbfeIYzOuNJRj9V9tPH5bsF9drfQJ48wPGw0RLXsmRFXMA+tbZ9INX9AjIyTzBzAAmPNXcblBfL8pQa3d+9onQOkZs6qnN2Su7SbNCeSGTCAgadKfzM1X+3iLxEz/ewgWBE4DSqxR3WiWfbdZ0Hs1OMR/DQATOXR47qbPlukqPgPVuDJ81DhjB/oNo50cVB7aekT0B4q3gaB6X6dNjvHdXeb86f2erdvOxne/ZalETUv/+E8k3XezwmIWscbRepbjTqf36zBY0vnBr5OB+MU+4mPX1ZWNtteo3PFtrQcuqVQgI3ntLBlZoe1Sr4YC0pYeKpN3B0cs5zN52xU2VsbFo11FImVSRc+0H7tzlCyc8N95rULR1KooOH/HNP/yrAUs10MsBvGiuH2Hq0tyuV39TkN6k3Xdqe/QQMwGDMRpDF2hV/pZ9pQ8RkH68BbxAEqgHKoX42H7Gionu1Kmz+sjWY9JOgAkBgnAui3xuVDcoWitytqn1e0+lzSUB/HjvLSd79TevtXYx/HiLef4MgMkBg4yKrptnthyu0CMgg+ZFc/1I01ONqkF989Lu1ta040fig2yvdtNkY7ziuek5AAADXKoKL72XMfUnUXN9Sy/A5IBAn6Evdqyq9/6km4oR+5MYzCvFWAcpnn13u/LiF//6AN7kiv55/quQkMIVvSrVPQTADJzqygdAspIydS+wE45mp/ZNNaxZJTn4UdbNiovSlbx4pzoXqYv37ipupf1idp7YLuy7hJy/XEDWS9tuyNpXJVmllUCN1252AQQtEYZ6/ggmWl1+OrO0HUheSuI8b2zSwyvF1zphwrwtOQdi+6qacqcgY89lRckl1fKNgxm6tgrJ9FXZ55P7prwoxec7dl9pV5Re0S4fiLhrS47lN9JE6Mp9B9cI+l4f6DsFu/ZdVhcfK577RYr5wU2q0uJ6GvxirbOdJddlffyp5PrvvxJFmhNudH1TJH6IiLDkvCOr+uLra+JLdqQXtpYWV8fvjcHRbwxmZDC1qR8gANJ/sk3803hLxV6+/eJHNvNRIyvm0F2ddeKKHpG8lIP7E/t0b2+b+OCOnMa6nPw6wW5rt7VV1spLObM7yY35YOPXRZKgFYcL1/dXsuvm2S2Hr2hLjxXO/SI1jAAgeaKNPKDExqScZqYgaXvaEHnvOsVZZ2VPgLVgY+aO/kk/pL9ybMvv6qSfn+Fyj8RPtm5VlfgGL/XM56I+d9r4zadpJ+q6rv1BkhQpmuxwe2tCFwsnXy5uvyFtXM+bb9X6XTdq7yAgeMKF/SbJw1oNh7ZqWfiavKyVbB8AgNS2SxlbitSNRTk+01OyjiaFmsu2TAUrJBXGX62yRFK663KyruhNzOiPju5c0TcLitolJ3ZkXa/OOisI2xvjZWq90Ri6gFT/50zpQ0SErsw8uKb/JFjj9TO7TlxWIHD9bmqmU5x1WtoJvgvWZ21dwba8AdLqor0Zxa3inKLogvU8Ijj+443QW33gRqsMguM3b4wefLFqV3X2qQo9Inlrju4X9S0FMnXKPtt+pEKVf7xoRk6yzdS3eyYb4xWUsrENANhBLo/V9Mp7GUN/ElBX4+WTxyuMDGZ0coI3qW2G40+6pxixP4nBvFqMZk4KK364cWrNr1cn/u//nbjh0PnbP7yzbG3mnvi/e3WtWner+MRZSRdAwOLY6a4u6tR30AB+ggVWzi/DL3bjqeyC4pMuIhTakh27ilppv8idRwcsCgAAOWfJAiaY2mTX2q2vV8oaugA4ixe74yLov/50XdpHlr/1v/ngfVH62bvkwuR9OQfivTtwukOvNwEER0ZbVZV8N3l/1uelBYNaFABgBCSlJVstymUK/vmfon0AOtXKJ32f9daVituQDy91z4BFAQDy3TUZicFgav+6vL5/I6KxC8BnepT1uXG+kamHT50v/rw/Jaih3YAA2HOjrFYAEhzRnuwzv7+4G1sUDGbEMH5dInkEMGFOVJjtF5OhPUjhAAAgAElEQVRXZHxsu2J2pMVcX/4HWTeQCzbsTrTSvT7B8VvWCIMCmEa17SmAhOBftroToQAAYASItqy3rqTv/PW7EgLA1CkRN3ixHRnduVzajOCt5WlbrZclE+wVmzLeY0KvqvQruxwSBC9pq8hqep713m/enw5galOphyqfESx8LxiAllU3WO8D76qtViIgwpf3H/Dkea2GAWN6UtrKvrduIIJXisIJAPBdmCgK7S+b5P7jci4DoF2v6+s7ffm/SbuA9autAxEKACACYj/eIPQF+uZ/fNPpZY1GZeh2Xyu91glEcNK2gQgFALAWrs+IdWMZQvPl0jsI/JbvHohQAADJTdqUMjeA7dOuaR/kx87RX/k3i5j0RygAgOEX/dH2+ABAbVdKb9iOKHdMNsYLTJSq+MT5WwiI6cKFLl0xz72X0fUnofXyzn5/Mu2j1Yki0c6i+6zlqYdy9i32amHucPxJdxQj9icxmFeNsVpJgb6nurp+6PuH/q8HrX/senvmK3KE0J2Sndvq+jTOc9RN6ds7aROAT3DSxmTX2tyXxSKgrVNWXh0fHMPqdyx8A7hOn9uEtKX7Mgpb6bcidx79RGg/T0XwhQt8K65ob1zTJvUV2ttw9SYNxPTYxW7FGNCTdq29M0Hrm27U3pgeJuJ50xksfxYD9K0Vpc0LUgb24BGsUDcWuvnyZgTZfkIGsP0A2im6G8APAAA11yu6gVy4wtGLYy9YwClq06q/1ZvmcRgApB/zFwBdDf8hbpuRMOBykQE2Lx9MFhOgU3/tiuK99QNpQRhMjstIEwaDGQqqvblRNd6slEzwvLtdragQX2+jgeQl/Vpgu+6XnDbLbpJtpMW8U3GrDYAZHRdpr9PeWr4zf7l9GYwAHtdtlzposeMcI2f5cm5pgfpOfYspUuBh5F17s94IwF68QmC/OpoUxC5mVVw23rqhNU0fsDIMP759Sgi/kKlMaKV6/vwMYAjHmL14Mbe4TX1LqqAjoy3Xdl6vViMghcI5/T/2uFbD4S3uDJt+J8ZPIAEo/8mBNm8lv5g4kQFg+p42mbNZdSputQEjIDbO4eWFnBPFI6XX2tRNCPyGWiA4VkPXsgz+3eW/srfVBPe9JezyS/pBq9nfIzy7HmEEiA59IRriIZ3SqbjVDsCMjnUQE2J6/HvBpYVtCoUaLbRaYumGycYMDbpbuG2nuG8god6nhnZzUkaSl7JpkOkiz7yX0fcnobdTe98+ENj1UKWoDuaHruB48Y4+HH/SDcWI/UkM5pVjjIIUbyzeU7YYANCz7769UXn5X8u/yWu627rlaMaCVyFOYaK0dyi7z3zfXZmelhztkBjLCjJatLL01iXttWMf3Po9L3wefxaPP3sWd7JT5U2pS/YVV6hoYMZv2e5gUQAAiLDF702+UtpeK2tL5oQCANC3pAoaiPDlC93zD9iJp7JFA+bnhz+3N9+sKC2pkBbs0zw+kD1IlgxXBMclza04crO1eEvS18G8+eGzeO/ywt8N9nVn6whB2BfHIMw7gfuTTlMP9TQA3LuSdare/pZI/9QE8MTwFIADAAye6P3psvxWRf5H7381XTCbx5s1ix/OY9umT2MJE2O/2id5eGV38jX2u3ME7/J44Tx+6JCeLAaDcc3DKwd2XrH/kPCLTtm+xXHJmIOwjbCYm3T6dgAGmxvsplgTQ620H4CcGsx2/NQvOPAXoP5zp7ELwLM8CLSuvQuACJnu7K0giBtCXDY+adf1gpXHTxIOm72JNwAAwJ2jFvwWC6cXqe80XL1FRy8mAcznfSCYELlkbn8ZXtRqGLjahO8qAmJ+THMvm54pS88Y7a98TmkRADI86QQY6nVrrIYu1d5JA7CCOU48niBOIAMGDVLQuoddAGSIO29rbmLS6R8BMNjcUCfNzwrl+kJbV0c7BfMG0pS4YbIxbkDrm1V23U1MjkxK/U3S/ME8OU+8l7HwJyFszcUDyweGxF+69E214pISacXZdD2dfXwVx1O/ajj+pBuKEfuTGMwrxxjnpCDe/LtZy1bPetd/38d5d2t+/4dlc9fOevkFOnTl4Y2LLamtTNrSA2ekT2Bc0ALBYBEKAABievLJ476FhZclzZ2q61dU168UApBBkaI1G5Lm2gZ9TZ2yCnNMmpIUXo4Nc6bfGdOFCwNKS9pl19tSQoMBaEX1XRqIaKG7kR6CIEnSys0gp0cnTBe865exsUhdflb8qy+Sgty70QBM4e5TZMkXhV83aNvqJW31klIAwo+3fNW6Xy8fvgtL99IAAJ0qaYWLK0yof90yO+Fo9i+K8ksqFO2tsq9bZV9fAiDYc1ekpFrFkibM2/LZEXZB0ZfXW/WN1frG6tJCIHyDhe9vSMUpyjEY7/AJEMwPJi3viuMIH5IVyBVERTp7IXPCCIu56XsaATB+To6CPL/h41TnjyN9AP7cg5CzLwcDoV4EwCRJZ7cl/ob0AaAR/YOTL72FKRTy8u/UK6ob6MUxJID++jW1CXwXLOcPuPhjXyvPMfcyUKpvKlQuLnGrO8Zq6NK9CABIH2eDkvE3JAEwWG0R3YsAyJEc0oOLCUmOZ0BX7zPvDqLEDAaDl5q1ht+XQ6WlcG/OLRp8ONFzh4oNuO+9jIk/CQQxznpIkiR38Sru3Onkxp3i1pK8iuUnV3i66QP7kxgMxoYXcboHgJ/wHxb8293Kp3fvdMCsqS+kCp5A+oUGB/cp7uC09arGg9VGyTnxilOioeZpyOkr0o6vSOtuVzerW5pVqlsNiod1hfvajHs/3zLfRon5hq85sjFAsmOf+H7R/s+D8zbPc9RxnPcWc0qLtDeuqVOCub0NtY00TIhZMn9YypAIXimaX3bgervyDpUU5PlOQsJPkPyJIBl1takbm++q79Rfv9WmunIm/QGdd3wle3jrgUmCAADf97ZnJU13ERB6gzlQBMF+b83h99bQnW0tKpX627uKG/XaW5cP3G/fcvZAbP8Mpy9PtJUn+pjSt37b0qxSNdbLmtsk+TtaqKN5a1yVgsFgXDN9RcaOFV4vihthMWf8nCAAer+naYDhnEPpjB9op29tPfQzABjvOJU3FAThQwDQNO0scaLpv2kEwCDIN7yoqUvIBYsFX9TLGitkXTGxvu2y620Afu/ZJPN/AbXyGHMvm3ipORujXTT7uF+4MSM8VkOX9CEAgKad5Q1B3zsfVgMM2iPeMbiY9NI9JgCfN7FBHHkYP2eFBvdvleJsXFOfekbRVlb4zfJ9y4dywNz2Xl6UPwkk74N4nuRzlVp5F62I8Xj8YH8Sg8FYMYqJM59pb9Zck9Xd63LyHYN8800AE3rWO3rljxbkgl9/EEYAai0uqnM3U9qEAO6C5aLU7YcLCg//yg9MndKyazbtwgh+f/1Kjt+81D3JXB8wVpw4csVZIqyAJcJQAh7VylqBvnFN0Qu+8xcLhhuwJSa+9SYA0PSzvsoAgE1Q2QL6nnoGLiB8g3nC+OS0vZ8X56zhkYCay8TNw6wYMAMCSIBnNDAn+7Gc/zEdzQDpFyxYvjLl4wN5508lBRPQXS+ucGhMgsl+NzI2af3OrN+f3xrpC0hf/gfFKzgaMZhXnREWc4Y/ZzKASa++P/LTwPSDb50sy3/UpqEBSL/AX3h6PzIwwBcAae470/Ztag0CeCvA35vD/AYpM3LJXBKQWlpLQds16UOAgCVCm03Uw6uVN+bDcxj+bD8AeEqbXI0ZP9/Rn8p0f+iarzS2aZ34Q+1azRDbJQbtEe8YVEyM97VdAOQU7w4mx3jCW8tT4gIAaFlxicpND2RI7+VF+pPgO+mXBADq7bGIO/YnMRiMt4xikIK++9XJM6eOfOEsx7bh7p3/AiBYb/uPXvmjh19sygoWA+gbXxS3uvaDEaW+caX4iso2kEEKInm+AKi766lthnnzBAkRvOrAR5G+QCu++LSw2fHmfu8JuQR0yqrrZDIVAuZCoVdHh1pjalc2dwIQ/n5980m/YE5kADxRKx/ZXNh1vUJpq3bph/XSsksyW41NBEVFBwEATVHDfUkgwgR8ElBjhdRxDLXXib+u0z7pK6KrTfH15dKbtteR081LKJ8+eQoAAMh4p1pcXKG1rRdrQXQYAYC6RtKHxmAw7jHSYh7ADw8AoGSSOvsXwifVR9b/Zt3GIpXXW+jbr0rsdT5SV1zTmoB8d55jIskh9+pz5vJ8AfTXKhzeT5Ci8prRBKzZc7w5zG8wCIFwgS8gdfU12bVavclJMv9h1cpt8zE8AgRzA8DULq1UOZgZWv31Zemddnr0EyW4P3SJMN4MH4DWiq8f2l2HVJW1RjfHyTdXFHYTI6Z28b6PVq/fV9pm/5Ohxl4Af65FTOznWkxtkm9aAUiBgIungscAjujXQl+Azorz4kGCUB55Ly/OnwSkvtNKA5CT+hxK7E9iMBhvGcUghV/Uwlk/A9D+ITNX9t1fBj7/4TtZzvE//NEEv5wf+0rkzXSECEtImU+CqVNcWGF0dVHvreITZwt/d7aw0coHMHVKK291AZBTOa6Wrvm+t2l3fACg9uIjp2UO0y6+C2P4PmC8djq/EcHkxbFhzm7hNuhJq+TUp8X3ASbMiepPnDaByw0CMLWVnilSdVsu1F87u/MLFbKts/Gbs0fyi7LOXtFbqWm6tUJyH4ARwJk6bHs3IVK0LACQKv9QgcK6KbpVhceP5Xz26f4StblkdO/Kyc8K8nO+kFofX9JdL7neDkAEvm3OdtclKzyWU3Q2u6TNqr5IL6lQIoC3OCGv5mjEYF5tRljMgbNipYAE+kbu4ZLWAeWL2iU556Rt7cZJHO+PpTB1is/YVLLrxtmT4nZg+MXGz7GagyRIkgCgWhoHCWMDABDhK98PI6DzysnPqo0DlyJjxbGcCgp8eKIEnrd1HaTQmIV+gJqLssrbgTFd6JDMf1i1ctt8DBNzLxu/PnHkSruNPq84ve/zgiP7zkqdLeIcYdweujBhsWixH5jaio+ftb7SeP3sya+HPiuVeHfl+9MJeFJx8lSFfuDVjtaWnC682aan/UL6+5D4OekDgL5VNQ6x0JOz4p+iJwB949wRsZVBNFGK3x0rfQhE0ArRArytfkwgI1Pen04AUpf9Xtrt6iIvvZex9Ceht1NVejhT3AngJ4zpUxHYn8RgMN4ymjkp/vZX6eu+3Z0j+2Plqd9ev/j2OwEsH6CNf2x90PUDwBtT47eunf/mKBY/qjCFyQmlt4q0d0oKbyze6dSWT1icknBFWdwm3pPSMncBP4gJzwya23WqRwhIXkpSpGuNS/JSP0lt25zfXJ11iBNotxNvwoIl4QWKGzQNwHbzOOs+tGU7RF9b/f8Xusu8F9Z8tvzAxtSA+MSYrw5XdzVfyviggh3gC1S7vgs4okThtSKJlXLnrPx19DfHZI1n16XWRc8NZvkA9VB181Zbl4lgr0iOD/Kgbi4guCnbU+/vyG++vDv5Gjd8VojfePhzu/KWSk8DMXl52j9btlITc1d+8O6NnDt1R1J/c3UBj+NLoCftipv1ehqI0JXrLFs9/WKTV4j3XFEXb05qnLMwLJA0UfrWW4pWCjGY0SmJIz1jicFg3GFkxRzgreUZH6vSjlarCjd/8A1PMDOAhKea+gb1EwRvRaalRnr97kUuXCV8cHn3mnre3HkhvkC11SvudNJAcBK3p4RZa3RSIIz0vVmtL93x/o0AFnPeuuPJPOfqJUC0Zb166xnZtWOr1f8hmM1hvYGM9/uU0kcb451l5h8uDF7sQj9xaSfda07yP7K1ctd8DBdzL5+oln3+G6WYJ+AGMH/WV0kgecnr4z07acU73B26AATvXzaK1PtK267sXqMSzOex30TUQ5XsThc7cU3sNwWSPw9aDiNAtGW9ausZxY0zq5uvCOZyWW8iqvmWrI0Cwi9+ffJAThEGTxjjJxF3Sg6mKAP8mDP/KfMjFwPeNyb9Y5XuaIXi7Oakb3jzpweQPzzVqOpUjxBM4KXtTByZI2YxbsCKWxt/ZXPpo7riktboVKe5DLz2XkbLn4Tmot8klQz8+wN61m12KElu4saU8P6HwP4kBoPxktFNnOm3ePNnAbP+77+JK1Xf/VH1X38EAIA3fvF25DLRP4vm/93PRrXwUSZoZcp75bu/pqRFZaL5yc6UO8FJPnpyQm7epTr1zQrtTQAAYBDsuStTUpOjB8+4yQgQ7dmg/eiYtLlgf36w7eGgZLRwTs6NapoRHPuehweS0VSX9eQKQfhOnh7GW/C/RCsEk23MIrlgU9bm8dlFFapOSt9GARkQnbJ+SwIUXrO9oW/MzlME++wX4kaVVGxJsm5Obpw2UsmNiWDRkc9ZxWcLy+vVN6vVlg+Z3OWJ6/5lBbc/sMIIiD9wlPg/BcUVKkVFu6LvMt6K5HW/Xt6f2poMX59zyDc7v0zWWidurbN8GBSZlLIhaT7efovBvCBGVMwBwHfh9jwmJye/RHpfJW03qyaCPX9V6vpkwXDeXX3eST24HY6cFl+7Yrmpb3Bs0qbUFfbnnZILNx3phpP/Wq191KbtRC3tybwgF/ecvHzfZ37F+QWlN1plX7dafh4cmbJmgyh8tJQSZ/ESdtklvYngu0rmP4xauWs+ho3vwu15k7j5+SXS1v5eBjJgnih5fZK75ygOGzeHLgCQvNTjR1m/yy283qb4pl0BAAwmN2H3gSTi4jduFBSw/PBnvsX5BaU32xTfWHZ3kMExSalrRe9aG1uCl/rpzr+ezqtoNT6kjbRK+9tIFwEy8F2wMft4cH5+ibS1XnK/HgCAQbLnr0xdnywYq/bDAAAQ099PipScqNOXnxOvOCVyFgT03nsZJX8S0V3WCw0YBPlWAGcaTxiXGG+rIrA/icFgvOMn//M//zPI1+0dRpPJ9MtfepwQzJ6/dHUauroQkL/w8/N/c4zzgv/pT3/+6U9/6ve3YzGx4gzU1d5uoHqAGM8MCGYNW9eixjNJOyueha0vzvI+Lbmb0E86afQG049JDB4Vpjv17QYKjSOZfuwAJ8mHRgAT3dXebugGIJnsID/SVX0QbWxvN3Y/Jyb4swP8nB6iBwDoSbve+JSGcUxWMPstvPEW86Omu7sHACZMGP+iKzLCYg4Dkj6eFRDMGsZhH11Xdoo+V5HLD3y1eR4A0O1teqoHSDYnaFDdaEJdnZ3PCV/WW27o/V5K/1BPoXHMKS+TUhpGrdw1H8MGdbfr258iGE+yAl5Y07k5dAGA7tQ+NHg/JvusLZMVwPZzPa4QbezsAt8Ad1wO1NWu73iKGCPjorzevHBtObLeC/YnsT+JwYw93d09DIYl48RE5i9dXTZWQYoXyosOUowstOxoyoFrSPBx4eFf4WAtBoMZLi/c7X75sQtSYDCYHyevl7bE/iQGg3kBuBmkGMXEmZgRBgEAMl4vKLxOg2/kPyzEFgWDwWAwGAwG4wnYn8RgMC89o5uTAjNyUOI9KTnNCEwADGb0mrXDP84ag8FgMBgMBvNjAvuTGAzmFQAHKV4RkJ7q9fX1hfGs6ULRr3FWHgwGgxkz3iB+7juBOf5neL8xBoN5xcH+JAaDeRXAOSkwGAzmR83rtcsag8FgRgusLTEYDGaY4JwUGAwGg8FgMBgMBoPBYF4lcJACg8FgMBgMBoPBYDAYzEsBDlJgMBgMBoPBYDAYDAaDeSnAQQoMBoPBYDAYDAaDwWAwLwU4SIHBYDAYDAaDwWAwGAzmpQAHKTAYDAaDwWAwGAwGg8G8FOAgBQaDwWAwGAwGg8FgMJiXAhykwGAwGAwGg8FgMBgMBvNS8DeDf41++AH+B/70pz+PTW1GCZPprybTX7u7e150RTAYDOal4y/PnwMAdL/oemAwGMzLDdaWGAwGM0z+8vz5T3/yEx+fnw1+2RBBCjM/+clPRqJKL5SfAIOBl41gMBiMPT/9yU8AsIbEYDCYIcDaEoPBYIbJT90LLAwRpCDeeOOvf/3rWxN/ORJVemE8efqnn/70pxOZr/ZTYDAYzGjwlPoTAGANicFgMIODtSUGg8EME7MiHRIcDMZgMBgMBoPBYDAYDAbzUoCDFBgMBoPBYDAYDAaDwWBeCnCQAoPBYDAYDAaDwWAwGMxLAQ5SYDAYDAaDwWAwGAwGg3kpwEEKDAaDwWAwGAwGg8FgMC8FOEiBwWAwGAwGg8FgMBgM5qUABykwGAwGg8FgMBgMBoPBvBTgIAUGg8FgMBgMBoPBYDCYlwIcpMBgMBgMBoPBYDAYDAbzUoCDFBgMBoPBYDAYDAaDwWBeCnCQAoPBYDAYDAaDwWAwGMxLwd+86ApgXm3oDu3D/0LjJrID2STxoiuDwWAwGAwGg8FgMJhXGhykGAz0oLZMYQAWPyGG84q9gdPqqvKWp7afEeRE/ymcaTPYzBF5GP3VY5nZ5fdoAAAGe+2588lTR+K2tiDt1bKGp8TU6AQBy6sbUI3l0vu07WcMgpzEnjlrRuDINISbIF21WG4kAmPiIyyPYqw6suuUDM1OzTwUzx6ZQroVuRlHyqiQDz89nMx9JcasuYOIUGF8+KQXXRev0JXt3lrQQsSkZ29bwvTol93qKknLU3LGsjiuZz98aXBDQxrlpTKdaeLsuCUh5NhWbtQxyktlOvCPSIgKZLi+ypkqBoKYOCkkjM/1H+U2QerirZ8U358Uf/hYaviE0S1r9LAMM1sIcqJ/IHcml0UO0vgjgfcCPsLQmkrJbWri7PglIT4AHYoymR75cJbF8weplU5WKu8AcoYwbibTy8Hw6tmUl55uvVwma7yne9qNwGeiP2dGRExU2KQfS9vSakn5Xdo8Jse2YL28WtZ4T2foRoTPRP+pM2ZHR4VP+bE0+8jTq60SK+1NmyMM/0WiKP8xqM/Lyyi4+j8acJBiMFCLODdfCXPSlsVwXrG3CEp5qaBQY3L2lQ8rIjZpbUrssN4ZkDp3V2Z5BxBTuBHvsICYsWgUIhQAQLdIcvOVZCzbOkhBPVA/oomJHI6/z1C/NxnlxfklRmdfMcgQYcrOtPixeneim/4zP7eBjJvaF6ToVddU62kENVIlFc/2dIA5b4Rva8u1NAJlpUKfzOWMWN1HD0sHMROmvaJBCqNcqjD0AkivN6UtWTTkgLTGLKQs0exYLnOUX7RGiaE1pElbVZhfhThrI1+7IIVJW1WQXwWCibFRgYM82iCqmGBFJG3ZkTzYS+Yw0dVJGykElLRGkxo+Z9SKGWUsw8wZxCR+QmraWiF71F41hiHgIwx1uyw/V8vftGxJiA+AD3WzKF+O2GiW6+kBpCg5k19OMRNOxIPXg+GVsykvNXRzycmDhbUGZPVZpbiogBku2rIvRTDahsAD32nUeNogzi3U+ifyxzBIQTUWZ58qrtX1Wn8oLsonAoUpO9JEYaMbwKV1TfoeBhnEZb9WNpBuKS/Ib3Rq2qwhovwTovxfTQ/HU9Bj7X0jGsfihFjHHIfn6v/IwUGK1xoGJy41NsSsHUyI7jY+vKeUK/XysqzbdYpNx3bFee3aaWU1RgDmkr15uxaNtd6lqk+nn25iJpz6chPfzZ+Q4QlJiywhc4QQ/fSBukam1FTmpBvovNNJg02Ejh4+UWvT4qEehScKPVdbLhphTtKOxJ4qKiQhHnuTYwMrbl2qrrSFiFgd8SJfYDAvN9aqGBDqpQ33FJV1Wnnh7gzIPp88WtIakpC61vgfDyfFJrqrKl9ipkStTeBbrI0J0d3G+w0y+T1lyaEMA8o+FOvdUrsheVkFnBm9dE6+XKavlGqT1zgfP6hBWk0BsKKX8gnwejBgmzJiIE1RxseFWkSwwuPj4+Zx/CeOg6fG5nrJJYmysfhAeu/hvDT+aPpTXvhOrz4mY9WRjINSIwDB5EbFxfCDJo0HSnf/nqKmWq2T5n+sMR46nRYxeu+OvfXnMjJrIOrQ1/sXvU7v6iQ/YX3aooH/kU5aWKZGzDmiDyOstDGDFfo6PfWg6MSZvy3Wh6ScP59stWJiWK7+jx0cpHitYbDmJ8TbqUWkrz137GSJuvbYrvzJeWnh3pnEHvq5CSBwxsxXIzJMBEWJEmyt8tpkycFNWTVNxafKYz+LfyGqgwiMSzsUN6K3ZLAWpe5fNPR1mBGDnCnaPlP0omuBeblxoopTPpRlrjtwVVN6sSph/9JRUqRMQfIewejceszx58cl2GrqNama4t3pBcqagvPymF2jFER4WQWcXLR0Him7qquWalI4IU5eA5C8qp4GCIyJDTN/691gwDZlpHgs+bxYixjsxKPZGwZiEdywyCVxi/LX7SjVifPL4vJGY9vsjxldyf6jUiP4cBJ27t8U3f/yHLUUktYm1+Z+kln2QHwwi1N8OBa/QHqGD3tRgs3mBbm2uEyNxk8TJiTggKY1o+Dq/2jAp3uMNL2UTq1ublLrHqMhrkS0QatuVqo1HbSTS02Ipiiq7xv0WN/cpGy+Z6SHXFs1FAQ7asPJzGQOAR3iU8Vq5xdZnkJr6HaoGqIpiqK6exAA/DfdQ1EURVG0wx1oo/kOOspZO5gfrtfhc/NTOxZq8zsjjQAAWYqmnLWeGxBTYjcn8glAzTUyyrp0y/0Q9UDdqFBoHjvUgdJrmpTN9/SUY/1tnqWvf42OrdMHTbt8APPPm5wMj8EbAXW7bpOhBqfNb2mjRq1sbtIaXFd/lLCuhqW1tbbDyNI4zkeX86foHqrQwbvVesSaaJ1aKVeoLUt2XQ1mGEoKMO5rCds2t3SxU2VoVlCOEuBtWQP0Ujq1utGNseQmzOjVCRwAWt38rXU9XegE18MMdRs1rtS1o0a1uQ+i9NpmpVrzYIgB6q7S66V0fVprkKtoo17TpB76bkNDhCSmxE0BoOqv33Xy9SDV9mAIDSLgVlrayW2cF+FigA5l+xwhBMIYJkCHrNKpGadrqxpoYLCXLet7YRikiEE77jWwKS8D6K6yGQHBF33osFqC5Cd9GM1iktR9jbP2f6zXNCmb1XonjhaYNUbfMDPRhuUPG5AAACAASURBVHvqRqWT7nDXd/LAc3NTeyC6Q9usVDYPpWT6b+qlIXbKY0lusRYBc+m2TKsIhQViStSmT1PDfYCuK77U1PepazFxKQiuxYemKIrqQSYA+KHnsWuP1RM58sIpcrjMhYp2zwf2Brc6zjyilM1a5286XigTN23NECJm/Rgd2uYmteaBQw17aYqinpgFjH5q6en+a4Z09ZVqjd5Fz7kn4K8reCXFyEEpS3LyL8i0/WOX5Cz5cP26RMcdx48VRfmFl2UDOoZgcpelpG+Ks0o+py9NX1uomZb65aecquNZFxRGy7Uke2lyxmYRd1gTbz7cD9fHVm0W6yRfyZO5NhNQlLLkbP6F6v6nIPxnxiZvSImbZimQrjwQn9W3Pbip8IOVhQBARO+SHFxirjzVJD53rriyaUDeSM6SD9PTE60WXVCSA/FnlGTsYck224kd81OzROcvpDqbGqLK975/2lI4XXXo/SoAIAR7Lx/2bh6SOYPrz1DqvtM/MgGTMdDmFzPIksz8ci0NABFbvjoe1/fs98S5uVaPxmCGCUUb1jtsaDRRjSXZp0pqdRZ9RzDniPbtjHesQE3W+3uqIWLnV8eXWe27MRnlRTm5ZYq+nwPB4sclp26INQ+PQRvBpMxdu7WM4m64mJ1obZHdGZzm33YL9n6ZRhRnnipTU+aLGWRIbOq+tNjAsckw1V+NS6nP8/fnVurNzUBMidqwf1cCB3TlOQcKJBrLiyIRKEzdtyU+xMfh55d3+ouPHCxSWAwhgwwUxG/YmBLhkPnCnW41j1j/xOzPuNKDZyTNFAIGZ+35vGS288HsjhT8mHFfSzhrc6ry0AfHGlBY6sXfJdr5nagxZ/XH5RQz/kTpRr6nGslp/wIA0OqynOwL1X0am0GGxWfsXTP8ZiDJ8QCAeqz8Dec6wYXOpLWSc9nF5U3GfkviLxBt2mI1yB00av+Tno9pOZpZWKO3/JSYIvhw45bkOfbWyl2l160uycm+ZGXUSHbUhxkZtgMe6aSFuYUSeb9/TDDD49btSF3i77VuYXDC3iagg37UQQEMVH6oanswhJxbK0ctPYWfkGKdHYMq/+T9003Eop1fHlpm1QhN+avTxQZgJpz4cpNVYghaeiD+iAJmppVmu72ujxAsjWaWi42VUuWGmfbL9+k6qZwGmCZc2j8z79S8Dtlxr4FNeTlA6AcEQDhf+k4u3XNxqf2HtKa88FyJRN7R1zfOrFhN1vt7qom4wxcTu/MPnJVo+r0OfvzmbamLLF02tO/kkZ50U3sYZIWn80v7609MiVr7SUaEi/YZpiF2iq5SLO8FYk7SRzEupGpKbGJMcaPEWCNTb5jJBXDthToVhMHFx1R7dNX+GvNXJsWxVe8DAHBTv8wVDSSS9EiOvHOKLDcZUmUN7QN7zRAd16uvKc4/V67Q9U8A+LDC41bvWGNlGjxTJm7aGrdEbOCGBWK5caCnI+JWb0qJMt9QV5L+QZHe/I2udGt8KQCQcUe/2i4AcGXWkbGmKOec2KpHJnGXJaVviOdYN7d7Av7agoMUI0SHZM+mrJrHQEziLOLPmOjTY/hWdfve1dyt6vvbTu5dZjWO9OJt6TnybgAmJ0IwI5AEuqOlTqEuz8p4aso7Hm874pC+5JPCMj0rXBgbRD433K2XP9BXnd1F++QdjxvW2CRmxS5li4v0qpstENHvKhmvHtyUWWUEYHIi+CH+xPOHLfWNTeJj6Urd4ewNc0gAIALnxcWynhuVVUojkOxFkTPGMwCmWdQcJc1cd+SqwQQkm7+Iz5lI0IYWhVx9NTdDj3Kzk4d7RgoRNC82bpKxqVqpQ+DPXzKbNQ4YnGE4uAAAYAKbmGSv6twniprHzBC+YDIJgX2WglbkrNsr1iEg2fxFM1jjTNS9BkVzZf5v72oOZe9aNKDRqJrj6XsqjcAgQwTzZrLGo8ctdQ3Fu/cjt1Z7mfRlO9JPN9BAMEMEvGmscc87WuRKZdnx9PvGk5+lcAkvGsH9wQkAJtRcsKu8kgqcsySGNa5Hr5QrjZryrHQ0vnhn1Ni9YZtQY/6uchmEx8QG+fTcb6hv7qg9veskiJ5dyFeOmxUVxx7/vKNF3qDXSXMyGBMd6oYelh84VdBCcARxM1hEr7GpQaGpK96m0e3N3r/U6ond7lYAAHhQvLtMofFhh0eyx8NEV7nHRlkKXnk8ax8nbc6MWTovt6G2uVqqS0wKtL4YKavqKGCwli3je6ORnPYvrcxN313yAAHJCo/mB5Hw9I9KeVnmbkb8W8NsiO76mxoABis0cOhrnaAt3ppe2NxLMKdFxfADSROlUcjkiuJtGfRnuUPt43ssPbhdfNuHuyg2ZCIYmxQKTYfi3N79RG52otVqc3elo1eduymj5AEiWNylkXx/H5pSKyqVtbnbjSg7rz/hhqH8wLosBc0gQyJjZ09lQrfutqy2sSxzXTdRuCfK67XWlikmxkBXulFtD4aQE6y0dFgkL5Q57qlOKW9SlhxKb+44+ZllVDEjIrmnm9S361VoWVT/rTQKpQEAgJLfVm+aw+0v9XZ9CwIIixS4bgdmqFCUyGeFWqmd8GVC//JSg+xq43p+uK3zXX1ViYAIXyYcLK++ex3nhFfRprxoyLc5gQyFTim+pI5eO/Q0Ey3PSd9TpkdA+POjIjj+BHp6v6G2sa54m47+7FxauK316anP3lpe+3yaIC6EBd2a23Vqg7J0z3b4XV5qmA8M6Tt5pifd0x6G8t3rshQUEMxpgsh3WESvsUlRm7vrh55IZws4RsEQA1C3FVoAImLpILkAiIhtX8q2ufx6MIYWH1b4stjxvbo6qZpisMKF/MkMgCns8f138FCOvHeK3FJZ/c/l3AceAZx2XK+6KCPjnBoBwQyLFoRNIRGlvV2nbCzNXEc5mAb3lIl7tsZ9EUPNhRlbi9Q0EP7cqNlvTwRac1uhlpfsb9Km5R2ND2TAeE50XKzhkfJqoxGAxV/KZ40DYsbfum4KpC3ZkZGrpMGHFRbND2VCT0eLXKkuP5Pe9GBf3kaBnYIYSsBfW3CQYkQwlh3LqXkM/tFbTuzpj+chnTgzPae26kxW2IwTCVPMH9JVBYXybiDnpGYfFPVHOqnqzJQDV+XFpY1xaeHWsVutpJyb9LuLKf3zP/IzGdvEenmJWBPrdK2B2zDYYe+QoKfuPzDCHJblKbJOVhmJwNiMExv7w420puRAer6y5Hh+xIUt4T5AzBRtnwmgyLqtlFDvxG/eaTXt06s8l3/VYCLCkg6fWNO/opFuzEn/uEx7qag24eCS4XkkZHjilnCgygzvn25iRvzzrmEmf6I1WoMJgMWyyTz8QCGfJjp+OtUmktpde+q4WGdiLtp4cm98X+AZ6cuPZByrvno0Z/7Mg5bT6Whp9tFKI0zgbzi2L7Fv+QnSSw5mZJW4sWpOU5SZ20AT7NgdmWlL+w7Houpy0g+Im4uzS2Lykqd62gjuD04AADApy2T8Dbl5iX1my1C5f92RWkr6ZXlyVOIUh9uPEiZluTJq77n9S80l0urc9IySB1dPnyUjNuYd7zvGiarLWrdXYqiWVK+PirOe2kXKonxmRFr2oYS+x+jVlh3YdVpRe+qMZPbRvt2nbnerGYNCGRi768uNg078jroUvOJ42D5O25yMfi/ibG2VVlajT7KeQ0MN0joKYKpw2bSRKgs15meVPEDENNGJzNTwvtFgqM7aeqRUjgC8jTihjtpzmdk13URgfEqcN2KFaopLm3shUHQyb33fG09qUvnedcfqJBcqReEJg0WxDVIJEXe4dGPfaQK0+lxGRtE99aUSRcJOgeWZ3JYOqrKw7AEiZqacP5nUp2FSE4oz1hWoLxVdtTSySVlSpKCBFbcve3t0Xzum1B7bsL+8+vzlxKi13u1i7lU2fosAmEFv9/Wke9V2dwg5Q1OcmdtAE9NEhzJT+/Pt0cr8rbtLm4syLwjOr50GAOAfKQgpUGuUimZTVJ9ZN95usMy2GRqUulSuJT5iamlU0sDgREQO0mtkuCg13O6zacKlU0qL9LKqhrTwSKuxSMmuKxEQ/KUxgw0DtzrOCa+mTXnhTIv/MFpysFpbtGldc6woMV4YMdW1KbhXmivWI4Idt+fkgLwgbdGm9HNqyQVJUniCtWmia8rVS7ed37GMZUkP/kC8Jz1HrhcXVScdjyWH8J081ZPuaI8O8dGzCorBXLTx5N7+DO20tmRvRm65w5L60TDEAGDSaPQADHbYjFExuUOLD4OTsGUL9F7dI1PXACdh2xbbtEQey5HXTpGbKsuCUx94JHDacYbyvAtqBKyo7da5/DvE29blyB1NgzvKxE1b47aIoYb8g8Vq2oeTuC9zQ38YuePqwYzMqob8U+XRn8UzmdEp26NBU6BdXawPiU3b62ptTx+aosxcJU2wY/ce29K/GoJWF+/eVdgoPnJ05sVDQutBO6SAv7bgnBQjAFKWljQhmBS7aaf1iiMiMD5jxzIm9CpLyvr3jJJL9108f3h/9h6R9VosZvQ/LmMBUC337Q7LZLA/3JRitdqNGZHywSIfAGPL7eHuEyPemsQEgJ7+PVhNpSUNCDhJh7dYaxAyJHHnhjkEPJaWyYbaSOrD337+/Gf7Th5eY73nkgyPF4YwgNZoHg47ocZIQisvlCgQQEikwGauicFZu8teO+vEF6so8I/bOWBBAYBgx21JX8oEuu6rSkvHGctLa2kgItbs7I9QAADBjt2RtmToeDRde0msRQx24q4tS62O72ZGpu4QcQOnoPstTg9THQxPBqflq/DknYlWgXX/ZetWcQFM2saWQQdAr7LowP49e+3/jon1ntbZXI2IlIyl/Raa5K6KmwEAwI5dGzeg/ZmRoripAEin67D/PRm9bm+C1WP4cBJ2rls0AeiG0vIHls/c7tY+psTv2DKUY/RqScGIoBEf3b17m/O/i7ftps08bR+nbe4zb2kkE0zaaqn16EK3a+opgBCh0BLAHX5Z3dISqREIzoe7BiIUAOAfk7bDo7VsSJW7Yd3qdX1/H7wf+8H+MiokYeNJxzkT9zDqvqMBWBHRVnOyDFbcluzfXfjys0EjFAAAk2I3p1mdd0hyP0wRMgGoFpWur03cl45HegMCCBREW2uYkMT9ebkXS/f1vd7QRgMF4MNdGGnVjsyoDceyL36Z52WEoltddiSnnAJgC+P6FiW4W203h5AjvbWXyrTIh79hf6r1iQAkP3VHEgdM+nKxwjLkpwgipgB0K+XavosohfwBEPyktXwCHigGjPi9enl33/UeweAsW8YBoKuv1lvLGSW7ehsBMSfW1SJ3M251nANjZ1NeN5hLd57cG88hTcZGcc621f8ofH/dtiP5ZdVaJ5vRp6Wcv3Di0OHMgdcnACA4CbEzAND9exq7y8no1Zv7XmAAgJgavzaODYCamlqGrpenetIN7aERlzb2AlOYvsP6DDmSk7gzxTHB7agYYgBAz572AjAmThydlJjeic9A7TyXIy+dIvdVlhlnPvDI4Kzj/EUnS3P3H8+0PW1wSuzfC0gwGTX2WVrcUCZu2hp3RYyq/L8Sg4kIT9m/wXqh25Qlm9fHh7BZPVq1x1qMrr0g1gODnbhri/V+DZKbtC9VQAJdUyLW2f5iWAL+KoODFCPAfbnCABAojHdQvmREnNAfwKCQafq1PIMMiYwKsdvQi56b88H12A12Jj/MLtUzyQ5kAQDVM+zkbea9kchk0U6aOoUBIDwu1uE8TmbMohkAqEnlhjCQ7PAYrr1FQAgAoNfLDJcjAf2wSdGoVFr+FLVVJTnb1u4u0QNMif8o3jbkOYkfZu8pGuUKLTDYcfEOC4DJeYv4JJi0zXcRgMUHBZ95f++wupAUCCOHspTo7nV5NwA3fqX9JB4Rtib74oXzhzzf4+PZ4AQABmu2fRYVVujbTADU0z2oKjYZm2W1NQ5/ddqnntYZwMnsBznhTQIA/Nm2B26TzPEAQNPf2/2ejFjqsJB4QtTfC0gw6eUNZpfH7W7t//gdXpg7y5deUikYNbr18jqF8z+FlnIMynjSPi7anIhYGu0PoJFJB0Zvb31VHQ0EN05oJdHDKwvdVTT1AsyIjbOfFyHClgk9ObqYNtzTavr/OigEgCjN7VqpXO/diGD6+xMAxhrxVYN1SjAmO4w9dNCDmMEPsx30xNucIAYATT+xfOCBdExkMQFAJxXLrUPnDGYIl0UOvMmwJk4A6K3/9zKttR4h2dxApnvLUZTFGZu3fmz5S//t6g9iV6aflhnBh5OckdIXU3C/2m4PIVvQXYW8G0hBvKMyDoyODmEA1aK2vKoxODGRLDAZbysscRBaqWxGEDovduk8Dpi0NxssLaFrUBhM4B8Z7cXqyEChMIwAWvGNfKBZjdXSFmQ+/mPQ37rVcQ6MnU15/SDYSzfmic8f3iSKCptCosdaeWXp6QPr4lelnxbbv+oQU/iL5tgPMoSAAED0MzutEcrj2fV1IIdNAKBu+yud44medEN76OVKIwAz5n85WOFJwqX2ojlqhhg9BxMAvOEiD8hw8U58+vFcjrx0ijxQWWac+MAjgytrzuRGRUy163wEJgBAPbStWLijTNy2NW6JWLfi+l0EPvPiHE65JqPTzl84f36Lx3vW0N3rt2mAabFxDuv1mDH/EDEB4IFCbjvxNlwBf2XB2z2GD/1QTwEQoVxnbs3UGaFEqeGx/mEvhFgNMfRY23xXc1+v1XUYHxkMBr3eQPelSLCGIMbbfcIgxlmCC8Ott1n4SR/S8hQPKAAw1OQduzfO/lKjAQCoxxQN4I400g+Ut7/V6h7oH3YYDf9leNiXCPf5cKvsNaixcHejw6fktPgdnzhs3maA/fObdDo9gIm+XZJlsO+j5081CAA9emwEYIPRaEAA00JCHTeJESEhgQDUYLV8qjfSAP7vhIxc3N+LwUkSDpUnzIp98CFHRm/KDVnr8DHBHGLZmwsIwtmbi5PP+hKL2H7ICn3b8Vpi2jQ2VKof6Q0ALA+6dbDiXfLyScGoMS3ps4xoe01lxqQ8tylf7syKuts+rtp8lnDRFHGJXlatTQmZBgCW9zRiTqzjCnevy7KIJMeZSE4NCWKAzvFzpxBRey9lRPTfH9FP/6is/PfikjrxwXTj89zDnu/4IBclikIUxRpp5vuK8+FzBLN5/PA5vLApbvlLhM8b9s9qljdTX5N4Ih3+y5LiynaXPxBvWyUN5M+L4PHD5/BnT2PZFMHgJyZyq8+q5WfXxZdxI+bww3m82XP4gXbx+kEwURqlvQJl8kWbN6Ys6p+C80ioPRlC/Tx9oKMB4Fvx0eMKe0uBdE9NAI8NTwBCAMC8TK9ErGlQGJLZ/oCa6lWIwY4QsPyBH1KgbrqtQrFRBBjlCj0AKyLSq/UkLOHSGYXNyvoqBb3IvEK4Q1alRjAhaulQa3Tc6jh7xtCmvKYQbEHCekHCeqA71LfrZDVSac09ddmZdLl6f95Oux34tEGtatbo7ut1BqPx0Xd6XQftbJMZMc7Hvq/7Wvi5+5vS3NSTbmgPw0MjACMw5G3HQshQDgvqrJYvjZ4h9hlPMABMz3p6vd+XNwheiU8/XsiRl06RRyrL/HOHd4ARYrB9skaNUt30QKfr0BmMxkc6vYtjStxQJh7ZmiFFrEP/0AQwNSRs5DZVPNXraQD/d2Y4SRjkExL2NlQp9brvAAa8gpER8FcRHKQYPgh9jwCY40mn+uON8T4AtFX+9seKojM5F+qMA/JHMkPeEYT9UdE8QifbuQf1UE8DEJOnmG0i6vkeAYBBebXc1S9MaMiIHa0uPXWyuOrBQPiSYLLDBFyDQm0YgTp7j//MJWF9+mAcYxw5iR06M3rRHPfMielZDwIAqrFS4hjpMGNpmu/p5wDwc9KZiifHO7UwVtC91mGjEcHDwTksSP9pL8/h2ONJZ8mECJ/xBAAy95b73eohL60UjBbjmUEcjvPImsnoOJpHpn0Y3Dghu6RIX1OtXTuNA0DLr6poIBYttV67Odyy6F4ErkSS8cZ4AsDtEUJMIK2m10iSGbt2jiD00Lo9UkVuQW3MPo9nYwhuSvZp5rmC0vK7xsZqcWO1GADIqVGrUtOTB0m/6CYeSccEwfbcE4H5hZeq1bqGq7qGqyUFQDA5yxLTN1gdRBUoOpk3oTC3WCLXq2vK1TXlxQBEoCB+7XqrKMMgTBMdzxBakpWaNJc+yap6DOOmRkdY/9ajars3hOwwa2kwKqskLq6wNpTToiKY4rJ7qtvdojhSe1NJw6TYcDYACGZPKi4xp6voVjZqAZj8Ra6zYAwKc9lSfq5SIb9aTwuXkAC6ammzCZjRsbOHTKjmXsfZMpY25TWHnMJdJOIuEqUY6goPHiptrjz5eQRvb4y54ZGuPOdooaS5Py7HIJgsTgSfqlF6vOtzSEbYZpmeIQTAeHO8szFE2KnTUTPEwGD5TwLoMOg6ANwPhrqPN+LTz9jJkWcqa+xBxpqCrFyxcuBEUoL0n8qPmNAif+DlSiv3bI17IvY9/dzkyqv3EotfQTodI+R4HwIA9fS+3sEHd8FBiuFDED8nAOgepwFu0w89CIBBjLcEvbRFuw6c0yJiiiAxXhgxixM0hcUkCQB90dqxDVJ0q262IGBw+taPEcTPAYCISMvbJHAhGD7MITzfDvHu7fmNNDD5sauWRoW9Exg0hUUSAN2Sj1e6aepGSVUyI1KGkWWT8SZBAJj4G/K2LHLh9o2bwALoU2Q9dI/1aXgW6J7vh1A6pA8BADQ9gitgPRmcrxU9NO2kD3roHtTXzh50q0eMgBS81oxc+wQKhSHFhRqZtHkNJ6y3vqaBBjJqaaSV4R92WYOJJHo2bA+SuSgpPqS6UHNXcX8gt6IHkNz4TafiN3Xrm++2NDcpGxX18ge153ZrDQfztkcOL9bpqXQw+Yk7+YlbKF2LuqlJ2digqGnSlp/NaKJOnk/l9ikYInBZ6vFlqbRR26RUNqtVcplCoyjd861++7nDcUNugR7PmjYQC+NsTlPe3nvVUJ5XFp+d2D8Z6WG1hx5CDpAEAQDMZbuyk7kuFCcxsb8riRnz55BllcqbShT3d4rbFDBj54UxAIAbMYdZIlHKtRD6neI2AnJOVJi3epiMFkacVdQ0SKqpJXFMfU21FmDQ00mscavjbJ7ux2pTRg/CPzJ1h0jxQZFeLm+BGAEA0NUn07OuUgwybFn830cJZr7N8mcxCQaAbL9wxIMUI26zzGLY+6yHdhIdsFeno2SIoS89fIfxtkIPThcsAAAA1SSpbKGJqdEJAs9L8Vh8+hk7OfJMZY01qDE/Y0+ZEUj2ooT4pfNmhAay/JkkADTnvC9/MOTPXTG0rXFXxH5OjmO48uq9ZFBXn+7pRe5Mav5IwEGK4UMGsZmgMN6/p4doh5lkbct9BMBiW87a0UorHyBgLtmbu2uRte42oedjuu4RaUov1vQCwRUusiwoIoOmsACMPSbCf4qXh5sa6qSNNJCCLYX9pydYSrP35S3pMMzHhlt/8Sf66Uu4/pPhH8QCePC0x8TyH3xVNovtT4ChQ3OfhkA7RxdpNENlkJzIZpOgNXzbYgDuYOfGeYAng/N1wqRv/iMC++lZdP+eHgAmT/EH8KRbPcF9KfhxMpLtwxbGcYtPN8lq1KlB30nlvcBcFhthJXfDL8sikhoNBQ4btvWa+yZne/Q8YhLzLQAN3dPT/wkDANBzZK8aeyjXuV0msMOi2WHRsYnraXnWum3lxso/SNdGxg/Lo/JOOghmID8qkB8Vl5xmTrquE38pT95v9+5BsjgRsZyIWNHaVPW5TRlFWkWZRB83VDp0O8jo1R/OrD3dpL5QWBvXvw7F02oPNYQcMQ8JmoaJU1huxIGI2VHzyMqrTfVKXYdCZyKXzpth/iJsHo8sv3q7QRuuVyEgF0W5F1NwChm1VEDWSFuqZFTcDGnlAwC2cBl36N9ZVdOtjjMX9iO1KcOFaiwT3+4mQmOSFk118vXESRMB9Kj3GQIggJZX1VIAYSnZv0uykYvRMCMjb7PMYqjVtWhQ3By7cU0/1BqdXDzShhgAAIiIRfOY0qsayUW5aJcLuTZW5uXkqiE8TZhgqQ8AAJiQ/WZA9Oypq/kjD8Snn7GTIw9V1thiUlZJjcBgJWbmbZhpM1RGZKi7tjVui9gUdhADDB1qJ169t/T5Fc5cfaTR/BGAwQr07mDy146xTpzZ1XBx75Yj5y5fb3s2xiWPIqHz+EwAnVTS2Gv3DZJLpAYT+M+ZZ8kW04N6TABTZsy0iy4/bml2OJ5g9DBU5xwo0QOwliXH90tIaASfCdAskWgcwgSUQlxWrTYMNcGPaBoAJjrs36bvKu/b3pOY4EsCoG9bbD+n5VWyQZM22BY3duEMdoSADSZ9lUTpoDbp5vLSKqXevHUTmPwIDkBvfbnU/jlomaR6qJUyxKz5s0mAe5Lye3bloObCratXrztYbj+FMmQjeDA4XyvQ7f/n0AeU9D8VNDDYEZZUSW53q0cFuy0FP05GtH1YMctmEGCskdZW1ygRMGNsc7INvyxiFn+mD4BaUm4/pYMaJTLDsDuUVirvmQAm+U/u+2TiBCYAPGxS2YxJpC6vto1xIqpZJi4SK221MhkRxWcCoD9Rw472ui8dyKC8WlYk0dhe5x+9cCYBgCiLZ09p5eWlJXW2GozkxghYAPD0sRfpdVlxa+P9GUDL8i6o+8v2VKiHGEKOmLU0apDYnzgAAPrasvJazWObkgn+/Nk+QDVILij04DMjou/25s81sov/rqTBhxcxjBiFOQkoE1CzVFojlelMg55OMoB7HefAj9WmDBPiUX1pUVFhbrnjyAQASi7XAIA/2xxZNy/2ZgZNs4vcoWaVevjvbnZuwyjYLLORper+s95+EBmlDg0wKobYDBH5wUoOAY+vHs266lRdG8Q5F9QISH5c/0E4E5hvMQAetzTa+uRUteS2zYD3WHzsmn3MT1KYjQAAIABJREFU5MhTlTWmmH7o6QVgcEKn2SpAk/Z2i/tvA7a4ZWvcFrEJ/PnTCOhVlknsm4+uy/nt6tWrs2rtuhoNFV+xuPpqSbnW/iuqWlLdDcCO9vikp9eUsQ1SPKk6ffzL+m/lly+UqcY0/8LoQswRrZpJgFF8NOvqwK4qQAZJ5mkJBT78RFHfToNAdhABoK21cThpddHxwsax0BKIuldbcmTd6gMSnYkISdplvbOD4ItWcQl4UHrA5ikA3Ss9cCTn9IFd5xqGiFJMZLMJAJ1CprHSueiB+Gi+vQwTM/gzCYAO8amcWkvyf2SUF+w6KqXd8NSI8eMJAKrp9ghYazcJiRdFkGAoP3JQbJ2LH+kkJ3efyT+4O6fSok5ZcQlRJKDGgv1FVrm6kV5y9Kx9IziBjEqMY4NJX5KZU2OVtIRuKDxVotToIWhG/yIXdxvBg8H5ekEr8o+WageeuFdbciRfTgM5RxTXN5Hldrd6gPtS8ONkZNuHGR0b4QMG6cncBgRT7PPGj0BZE4SJQhaYtBcyc+RWg8FQnXPUIWLoGSZaJyvcfeaq3YGXoTwuCUBJ845K+sYkpSzZu7/MaKsaexVFR3LO5eTYqGWTser/KSgA8u0QT04ecY7b0kHVFGSeLsw5Vay1uaxcchsBTAoJZQIAoG/FR7Pyc8/kVVlnwu9WlFfrAYggjjfTRsRM0dpIEkzGsgJJ/6J0T4V68CHkhAlRibFsQMrc/fnWQwK6lecyM09n7d9d3GJ7FMG8+bMIeFxb1YSId+bN7p+LI3nh7xBwr1b+GIhZgsGXbwwJMWdJDAtQU+FRsR4Y3GWuTyexwq2Oc1bWj9SmDA8y5u+jmAAGcdbBUrXNW3evviZn1ynzsTLLzJPqzKApTADqdo3CWlMZqnNOSbx9cwNw5Tb8f/buPq6pO08U/2eb7XGYHobhoEsiQ9ASsAZsgVpSqIiWqpsObGbp4uKNly5euThSqAoqaqviKFrFh4o4prJyy6+s3HLLa7IyzSpFQRAMpYQKhAphJIfBhEUOZTmW8XQz/f3BUxIChCcfP++/NDn5nm9OOJ/zPZ/zfZiNa5ZXeFSAAzClp4+Yn4aszmZbdzYuxIN4wuidcl8HYErTN6Uqim+bFdSrK1YkbcpUs0AGxSeuGv5rd/LxXQhg0l3MyKntHapJSWbKWQ1nEVTtPn2IFxwdADhtrWUT+uGdR5MNWQ8Tj+/BB+C0ZaVmNTMxtYqM/KmO9bDvWmP/KcZfHR1GAdeQsz+rxuytroqss8qGO0ZH0cj8I6QTCQCGW5oJHmCQy94dauqb/yKcruDI2QoWyFC5FDtSDHiYwz16rikuVD+JHShu5cSuzRv98hyPqGPHojwAAITROxMbth4vK0lf3/iHoKVeAoIzfKeu0jIcjwrdkhw5nBKbFxa9Iq/2iubkpvVlIRLfeQTH0N9Uqlsc/AP4mtqu0TuZHq76yLq1Jwb+beJYlh1M8BH80NjdqdGW49N4Q99Clb628vOgpV4CJ4LraKys0TEmoEKS4lZM0Iwig9dGCivydXmb3tWEBvsISGBoTaVaBz7+HozGYhp8KixGVlBVQLco98tK+V7zCLaDNnD88I3S29lK6xXAR+0naNUyqvKqPj9FVi4UUJL3TsZOYTj35MyTpiZrNh2+WnZqg6zQP8hH6OIw9BMDGRCbGDk0oJoMS0qt0n1Qoj2ftL5UErLEjeCMLZVqLecTH+eTc758/N0QvjG74xpTzterPnhX7SuReM8j+jo0VTU0ayK85EnRI91E7T8Idv9xPk14osholytnk6JKAoN9BEQ/Xa/WtDAczFu2bYtZj1a7f1b7TeIseCbN8PFxClwVTJaVsCyAx4owq+dOM7EvIiA+ObpxT75OueNdTVCwvwfJdd/RlGkYD3l8+BVFkZ3ZdvNQDAAmju1lBx6sUUvjd0WPdPclgte/K67I0hqLj26oyhUKHDgDbWSdliVE3c/K05h98bC4KOU3ubrC1PX1kpBXF1LAGpprKmo7OCD942KWzcB4VnvPDn54rKwwVdmQmxRVE7jiZQ/SxOgbhyLMRvnAj0JIot71Lz+pqTiwYUNxiL8XRXBddFWlWs8CsSjqPenUxqZQq2KjLqpzWjR558vD9oaQk6n2kHH/hGwhfDfuTvguJau+YMe6Et+lft58R+ilv1Fr9CwQbtKtsVZ5DjI4yIdQazgA70DzGU2poEDhSY0OgPANmmgdjgnx/MNX8AvzjWw/EEvCVtsV1e364Wx5Jq8p00aGJKVG6j4opMvOJlXlC31fEro4ANdrrL+lYzgAHhWamDI8u0pApMy3JKehaI/8u2XB/h4UsIbv1GX1rPdSEVEz6vGr3VWw2WyYlWuWmyw1vnrTKXXZqU1RVwKDXxq4CqtbYFmC3DKUwaxciIcRIvmxA9z2g3kNNQUHagpOzOML5pHQy+iNDGcC4FEBG/fvtVicUxgpf/OLtKtMfd77a1UeQgoYWs+AV7R8dUlO0cgtpd2nD89/VRi/qNBYtHf9N0K+y8vrj20ZGJ720M6jyYash4gnCo+WFB5Vlx3dsP5qSJCIgn5Ds7qitosfICZrrZfltYud1xr7TzEyOH5fVOP2Al3+9vVlSwJf9XIheumqSo2hH0j/2G3hI0FdEBwWkKutrVesX6vymCdYnXIo2vZs8oRX7O6E2ylZGuWO9eqAYIk3BWxHY6Vax5gIj/BdqWEzt8TfE+7hJSnuV/7rJ5X3CY8X3Q1/an2yuj1zLGMzfeDAcsNjkt2kB7P4uWcVF8u1ZUXagfdJ0bK4+KTopeZ/bWRQcsZeh4wzKm3tFeXAVMaUWHZwp1T/u00zn6QAju0aiakESXmIvJYsXfbrcKmvzaAvlB48R+WezblYrqsqGTxLCUq0Shb7ntyO+eIdxAkZh4ijmfk12mKlFgCAR3qtTt4n5068a3WpI3zj048SmVlKtb7X2NILBN8/JjH5XUHJpuyJvxW5IiWjFw7nXG3p0LUYuQY6NsDWIM+ZRa3YfeHvfLKy8q5oNcX04CWWFEqiYxPftViwjgrddfpj4ekTBRUtlaoWAABCIIndt0vWdypn4t04iGIyTguyM88XaRrKVQ0AAEBQ4vCYpASZyPxCMomDYO8f59OEEEh3HSMPH8ipKLo99IpEvnVLbJDljCt2/6x2m8RZ8Eya4eNDBq0KoUpUDE+0evWo5sCM7Iv0TziZIcg8fb5UV3WFrgIAHuUbte9QDPHpFfvraRGKAYBw4nu9KA5a9Zt1q8Wk+d0gTxidfog7lXmxnGaNdAsQ1BLZ3pT4VzV7siwKJLxiMz52Op2VV9FQqWqpHPgs4SGJitscGzq1ZX9HsfPsIJcmnjtCnThbUKatKNRWDL64cNm7G5NigociDE8YeSiDUChyVZoqFV01+CWoAFnsexulXlNuIy+Milut3FHEFOcUrAuOHeiQMsmTetw/IZsIUXTGOUFu5nmluqHyasPQd/GVyhPiZb6jZgqkgpf5ZmpqQRiw1GLvgqUSj2ydHkShwTMQh73CwjwK8vQm4tXV461OYs6uH86mZ/GaMn1kUOK5C4sGFh2ga0eW4SQES8Ki42Ijl5gduoXyY4fgyKm8Ml1Fka4CAMCBHxqfvo3/edTUkxRjNBtm55olkO0755RzUqGs0lYM/I0QwmVbd6es+C4ta9TGM38hNkMujf39Bb/C3H8rLNHou4wtAy1tgvSQSKPl8vBRC3GQISmndzieyFHVGhm9jgFSGLoxMTUKzpdYFWvn6UMEbE7fa8o4o9Ia7ugMrKY5cWia5Id2Hk0yZD1MAum+01zG4ZyrLWqVXg0AQPD9Yw7serV6U612SiXaea2ZxClGBmw+fU6oOJFb0lBfUVQ/UCA/IHLDtvg3LTotuskOpbNHMvLKaLqFoR0bmegx1j0DQhR95JwgN/N8obq2ZPBmkKDE4TGbEmQTLg3zDPmbn376aZy32zuMf/3rX+e6/HK6+7lfcyrxwH/c+9W6wxu44we+uPdi3LlT78yf+HMz4l73988995z7VOeDnJx+Rn9H3/1gjsuvRB7zxm55scaWFv29fsLxV16+wsfvD7Kf0dPG7h/A0YXvIaQm24DkunTN+u4+k+N8L5HH+J82cUyX8QGPEsyb/EEwcYzR+ICY0mengeul9XT3A3B05AvH+4lNrEFHG34AR4HQawrTFZlYwx3a0PfA8ZceHgvHPoiTOgh2/nE+0Uyak+u2FzLihM9OR/MB+hm9Tt8NjgKhUOA03le292e12yTOgketm/keAFyoacf5yXiYx2dm9sUaW+4Y+sBRIBQJHkKrrp81MCyQ1Ph/twAcQ9N3u/tgjqOLUCSYnVho59nBddF6Y3cfzHHhjx1hONZA04bvHxC/FCwQ8m0uwDdTZvyktmZiGZq++z2AI7VgIZ98YidisOuHs+lZuKZYmpFoyXbp2vTdff0ApMuCF8e5NnHMHV2boe+Bg8uil0TUTE1HOkazYXZi8lCA+qWH9zgtmeGtZ/ec5dgOo6GXBQdK4DZx8GG7jH0c4TKw6MM4hdp5+nCswcgAJbQRpR/aefTYhiwTa9C1tHVzc1w8vEUzVDG7rjWTOsWG/ph/7rJgoXCcvx+2y9jNEQI3O84iE2u4Qw/89UzhbuvJNRBIB4wTTh9OkoL7VpGw89873f/xaFYsfBq342lOUiCEHiGrJAWywyNJUiCE0BMHoyVCCE2TnUmKhzFxJvfdZ2f+2Amuv35v3UvPTpYIIYQQQgghhBBCkzL7SQrTn77I+rLd5Pz38etfeWHW94YQQgghhBBCCKEn1KxPnNn+xbmLf+KcQ5LjJJiiQAjNtjmkE0WaHB+jwZYIIYQQQgghu81ykuLuH858/h33i6VbNwZhigIhNOt44rjzn8c96loghBBCCCGEpmZWh3t0/sfZ//tt/wuB6+NXzp3N/SCEEEIIIYQQQujJN4tJip6rivOa+8TL/7z5166ztxeEEEIIIYQQQgg9HWZtuMf9mk8v1NwHwtOVu/HFH0ZeN+mq7wGYOm988TnMJ154adXf++BAEIQQQgghhBBCCM1ekoL9M/1fAMC1Fn/WauPt+9r/+EwL4L725b/3eXG26oAQQgghhBBCCKEnx6wlKX7x8jsb41eOft30p//IKW41vfDKP/zzMsHzpDeOBEEIIYQQQgghhBDALCYpHF584x9sdZEwfWe8VNx6zzUw4jcR82dr57OCpatKy2tv6w29HOHgIljo82rIsgA3YholMrXKkuZ+l1fD3/QiAQCgV1usauwmfVaHi6mZqfRsYGqLSppZwjtMFjDvUdfFXJemqETHUv7hq0Xko64LQs8UtkNTVV7dQHd3sxzhJPAWB4au8Bc4POpqPek4ukypNpA+4VLxODGNu1NRqDZYvUiQLoIXxUvEfAyGCD0WWG1xUWO35WsEQbq4eS15WUQ91GjJ6UuVVUbCY4UsiA8AAL3qrJTDhYzXu787FCOeTrPWzGyUiRB6lszyEqRPCaY27/SJvAp9v/mLylwF4REWm5oY5es0pVJN+rI8RSEjTlgxlKRgNBezc1r4Ua9KxRRv+tWeHSZjVZ4i30hFLnrMkhR/rjivUDLi+FBMUiD00PTrik6lZ12hWbPXiosKshSiyMT9CWF888Yp16VrNnJz+CKveVNus7L6erqPRy4QC5+m05y5o73LEi4ikUVmh2v8o0JRJZQHjZ+kaFRmKTQ23yL4/tGJu+KCH+OkN0LPiIEGnsnWWw7CUHliqtz/YcU0tv6PiqwaMnzhUJLiu4oiHcuB5oqajhGLJluc7fA1vTIRQgiTFBMxGYsPpxwoMQIQlHhZ+Ar/BfMcgdE331aXlWr1JYr3W4wHTyYGYSMQIfSsMRkL96acrGGBEofLpK+LPeY7wr0/N9YWKwvVusLDSX28c3tXjARHvTL9t3m0V+yFCzHCKe6xv/p8SnoZLDv45f7QxzaTO2lM6cmkk/VU5InPt/pPtQy3ZXGRQzc5Jo7tpZvV5WU6Te7eJGbf6Z0heIlC6DHAE4XHS70GYxfHsYxeqy5V02XZe9p6My5sfkRdDpbKU6P7ihmvSNkUsgljhK9plYkQQg8/ScF7Ke7Cv8c97L1OnT5//5ESIziIInft3xrCH3p52SqQx8VUZH2YXnhHeeC4KO+QFNuACKFnClt+7nwNC/w3D2btDh2KgF6LxEFhstV5KZuytcWKvMiQRN+nJ5vwGBP4h0fKLC5DG+MbFCnv5+uKzub9WpLoix2uEXrkePzXI2WWCdb4uPLjSWkqfeHpfOm5mIWPplah8ftDH/8yEULPkucedQUeb12qrDwdB9SqHelmGYpBhNuyrb+LD3AAtjLvYr2tj/czeq22oV6r7+KmXxeOoVvqNQ23aaZ/gg3ZDl2DRtNwh+GGXmAYhrX5KRNr0Gkb6rUtHaytt2fKUJV0RtbmkTANVHGovl10Q72m4baRtdkxcrjQgQOipRk7ju7QxjrDGF+U6zWrAWts0Woa6sfcGCEEAM3faFkAL+n6UOscLeEVFRsupEiObjACAEA/yzDMPZYDAI7tZhiGYVhu9AnOsQadtkGjbemwESpYhmGYPs4EAD/2dQ2WMbpWE4RK83g4GAB1hl5bJejGD0EDYU3bcoexvRnLjnxHE2u4ra3V2LgWcCzDMAOBketjmDG/1VSQvrHx4fMAjOXFjbZqxRpbNOqqeto6zpmGfgW7gitCaFqokPi4YBJMutJSevAli0YRx9zR1qrVLV1Wn5soBA0bPqONY7ZpLJpAVgaaslqdYVQ8GD98jVMmNskQQhPC4R7j0V9RVvUDsVT+3oox+km4SaNX5NWqjGXl2oQl4pHXGU1+puLTct3wlYMUvfnu5k3R/lPpb8HeVmZl5V2pH7o+8CjfsKiEzTbmwjCU55xUFFR1DG5IuEnidu9a3ZImO6URRJ/7PN6s053JWJWbmVWo1g8FfcLNPzI2MS5MOKPP2zj9FcWJHFWtceg65cAPCt+QEPumh/nYRbogKS6nZVH8578TFR89/ql6aGtSuComZVuU9Xhs7s7VrMxzRRpmeLPwzfsTrJNIg1itMisr74p2+OiRHhJZQmJskPn2Jk1W3PbCXsnezxOJvPQThVrGNLixlzR+X6LUAx9CIjTKA44DgDmErdOD8N/66edbh/6nz09anzvY/tYXbJcVAAAZfuQPOyVDW3SpcxU5X5TrhpvBBCVeHZu0NVw0WLqp4si6/WUD75rUH61bCwAgjv88K0owVIY9oZJRDcTD0+deVacdLagdyBrwSN/IXYc2SyhGff5oZv5wCKLE0cn7E6zndOD0JTlZ2cqq4bBGCkOj4rfJJeZzCZUdX/tBKRF+6LPoXkXaWVULO/S1/GXbdsSHDsYfpmjv2pODE0qwxQfXFgMAIdn7xaFVMzI8nfDx9SIKu5g2mgF/yqxWF1bdPnwkX2PgAPiy33821NuFM5blZp5Xml0X5olXy5MSZDjRD0Kzh/ReIoRyrZ6mORASMNIo+iyFzE9XFOlYAAhK/sPR8IET0a4QBABgYmrzT5/Ir9APx5+lUft2yaz3P9AEYsQJn52ONm8aMZr8s4pPS4ebsgQlDns3IT5ysFE2bvgao0xskiGE7IRJinEw36h1AETQqrCxUwtE0I7Py3dYvtah+mDr8bIuIOaJQv19XBz6DN/VfXP7atZ2bfOOjL2rx7iZHgOrzty0V6nngBT6h/rw55iY2zXqhiuK395qOXh6d6jZ1JUG5Z5Np9QMENQiSfBLfKLfWK9WZ+0+zK1+YF2oiS5MTTpZwwJB+Qb7eVNzuvWaqnpN/sGkho6Mj2NEMxT/2YbslPfzdByP9PAPXCJ0gV66Xq2pKkivv6U/djLW12o6a47O/zCnkOYHhEkXkA8Mt6qr7tDFZ3ezDueOho8cNO523vspOQ0sEHxxqL+XC6+v7VZ10fHdECWGUZjK40lpKj0H5EJJqA/f0dTdrKluqMzb0ajdevJYpFW/ShPXkL276ArjsfTNFfw5fbSmSmNsKTqexDnm7VqGbXSErCwQCeGKtqEor0qaHDTu/MGOopBwqeGu5mqtEYDvv8qfPwcIn78beptW7kjKrOoFoERBEh8PEtiOxkq1tuh4Srfp3FHZwOnPD1gtdezXV5ZoGR4/IMx/Pg/ATeg4VIb9oRIAwKhKSytp4/uHB1MPOhqrauiGgrQ9RLxvpSKfEQatlgl43c011Q1d2vy03S7nzkWPxAquISdle66WBULgv+xVN0dg9JU12rKcPfXaxNOHZB6WNwl91ae3F1U8WCQJ9+JDb8s3lVqDpuCDnfD7c/G+DgBALAiUhs8z1pdq9BwI/N98lT8HeCLBQAgmvJZHRXk4+TnC1BED9bF80Hr3Pw7vKdeAmzjoRYpwGDqGnC4/NSVLw4ID3zfE35uCvo7GKo226FRS/Z1957ZIMAYiNEvm2DpPob/u/Ifqsi7Ky18ynwSPwZao/SGIKTua9MEVI/BIL0ngEr4j19VYWZO3Zz8Xbk+djFcPbE0vNgI4CYOW+gjIB4bG6iqt6uTWRv2B01sl5AThyxZskiGE7IdJirGZWlpoAJ7Q12dSwdBY+FFmWRcIQpKPfTCc7uX0yvSkzIriU8d9fY5FutldWG/FiaNKvYkK3ZKxVzbUx4Gjiw6nfFR69Ujm60sOvDl42eooOHJWzfCo0C0Ze8OHtuzX5e9NySqw7iHXkpeeVcMSi6IOpscPT/nJahTb9xQ05KZ/KrkQt2gy33gMrFpxIE/HOYhiDmTELR06howma+ee/Nt5BxR+n23xt7iW6VRFYvnvP4sdeuzJVJ1K2aGkq/KVLdL4wYmmTLpPP8ppYAkP6e5jycsEgxdjtlaRsj3/qnWvQubqiaMqPUcGxGccih56Emgylh1POaDSZKXnLDkX62V+R2HSFJb7J2Sdix7K0hiu7N90uIIp+bwoZlm0/b8aQs8GgVQeqdxT2KHasUEfHrk2UhroRdlun1IhsTtDoCVbtyGP9pIm7rWYOJMtzs6p6gVyafzpA1FeQ7lLpjQ9Nu1qVV5BbXhiAA+AJ4pMTob+qx+Ua8tAFLkj2WJct/2hEgAADKUlLvKMvI2DDwQNRXs2HFc35GU2L5R9/GligNPgx/NTk7I0ukKVNnrzYA6U0ygO5GlZJ/+49H0xw328uio+SkkvUitOFEo+jjJPQ7NlRdpVOy6krh5c5YS7o/wgKbOKVuaWyo9KSQAyIDo5AJhCw9qT9VTQ/9xtMfMcIQqPn96ccyZdw584AHK+m/m3Z2sr9aFbLowcKAAAaMlNz9KwhFC696PkoY4ewGrz9uzOqVUePrLks4NheF+A0Gzgbt+mAUDgZrEcEtxRVy2KOnoyPsgsx2p/CGJLTh+5YgQn/4SP9kUvGtySo1UHUo7nW48cGc1YeDSj2AhUSOLpXbKhrq9sQ87u93O1hadyQj9NDCDGDV+jYZMMITQZOCfF2Lj73f0APBeXyQzR4DQF+fUczJNu3WXeIY3wkKWkrqagX5NfqLW/NL3ys2IGBOG7LFqThDA8OWkVBWzlH64YB19rUCprOaDCklPDzbZ0EEXviA+y6rDQX3GxUMc5+CfsjzdflIT0j0+Vi8BEFynVMzEOmbnyf0sMQPjG7h/JUAAA5Z+wP9aXAIPq365YXSZ5wne3xpp1zKaCYteHOgAYG78Z2pJTf150B8BNlrplOEMBAGTAxt3vjmrM65WflfUCGZK0L9qsrzKPH7pld6QQOJ3yYrlV+oYIiNkVbdaPRLB60zoxgElX24hDIREahZRsPXkoxp8CRluUvX/DO7+Rbdh+4GxBcb1xMjGEXLXvswuH9p/+YCRDAQBUyG9W8wGYxmbj2B8dYn+oHCSUbYsdGUcmkP7TagoAiKDo2ACnkY9H/oMfAWC4Mzz6gbnybyqDiVy1xez2AADmLduaIhPwuNoipdUSg2TIhm2rR248iIWyuHAhAFdf3wizz1CUV9QB4BS4/GWL16mwZKsMBbAVnypp4Amjd49kKACAFMv3xUtIYMvylfqHUGOEnj2criC3nAXgBwVbtmN4orjdFhmKyYQgY1FBBQtE0MZdwxkKACCE0tTENydu1dYX5Gs44Ev3jWQoAID0jUmJkwg9HOhmepwP24ZNMoTQpGCSYmzcAzABwPPEZKamb65SGwA8wmTWqQEgg8LDBAAGdbnthbJtMFapdcAThsv8rZ9OkoGh/iSYdA23Bu4F6NoaIwC1InxUj9x5IauWWnyau6Wu6gVSIgsfNe7EIyTEiwdMo1Zvbw3H1qu+2ciBg3/k6OEtbtJf+xPANV6vsbzMUP6+Vp39SKEHHwCYvqFp7Zq/qWMAvMKk1jPV84SrVlsN9zBWqWkAasWvl42a1E8cuVoEwFZVNVrcSvH4r1pPGsL3fpEC4Pp68YqIkC3zJHEnPvv8WHLMan8PJ465oykuUBxIWi+LS8+vYewthEd6BS/zshowwj3gAAC4volPPvtD5dDLXj4Wj+zAkSQBgBL8yiKCEk4uJAA8GJ6/re76LQ7mhYWHWAdaQhwSOg+go7HeMvfq7edntamHSEgAcL33Z3hOym66vkZTq9HUajS1NZqqEuX5g5s2ZKpZIANiNlhdjxb5+VgdKO7W9W9YgEXS8FHd6KgV/xDkBHBHXdUxszVG6NljYpqHz1ONprbyaqFi/4aknIZ+oFZsWLfEcuN5/r5W/QXsD0GMuuoOgEPgr0eNVyYlYdbT7IzSUjnYlA2wasryhNFHLnx24Vj0pPt4YZMMITQ5ONxjbA6OBA/AdL+vH8DeSRrYNpoBILzFQhtvLvTxJgoMXXRbP3jZ023WpNfTACb2m/zjButEyYPuFg6Au9tlBBCCiW4zAvC8vGwsXkV6i/hQPpL07h54Kvid8shR9RyrbTl9twmgy3APwMuOCo6ng24zAQjF3jZGqpNLFvFBTd+ljQBmFzqCsB56zSO4GoyjAAAgAElEQVQGBmoOrQLAtnUwAOSCRTYOr2ChFwXakbsik17fAcDz8HnJxo8nWORDgY75M90NEsHIyyRhnVqCwTkBp5+1QeipRQiWSuOWSuOAY25Xl5ZfLyupqNVdzUqtq03MOCqzFQxt4bp0DbdammmdvsN412Aw0LSBBbAnR2x/qByp8vM2yplwXx0tbSYAVpN/9Hix9QR1fbf7AUyMgQEYScwScxxG3UsMhpQHnP0XFnvcUX6wXWn9IsEP3bg7NdIqU0wAz3rP3TTNAghe8hHAKA5evi9CsYbW/xkAu1gjNB0mbW7q9lzrVwmPsMRDyaM6OPDAupFmfwgyGg0cwCIv71GtGiC8vDwAxsshs213GADSe9H0hptZVA+bZAihycEkxdh4fME8gA6DvgNg3DnhzHDcDxwA5UjanO7+eUcHAJbrs/MJmul+HwcATO0VVe2Y+xvYkuNMALznHUdfjQAIwqKVzPazAABGTbFqrP1yM/CI7wf2gQnAkbQ55dvAU8u+/r5JFspxPwAAYfNrgiPhyDO77A4cPd4LjjbzQY6kIw+Y/pla6g8hBAAEtWhZ5KJlkbFMbd7hPTmaKkVmYfCxyHkTfa5LnXsq89NKs0EiJOX1ksT3T+qG3nE+NsT+UDlNfewDE0A/XXVlrL7OAzHqUXAQBgWLyMH7ljlzHEjBQp+gkGVe9g1XZPs5ACBJm+GSdHQgALi+/hnOqyD07KECwvxchvILcwhHyk3kKwkJWmjfhC/2h6Af2AcA8HPSOs0BAEA62lySyayQvh84ANJ282lqsEmGEJokTFKMjSf0fYmEDuM3ahps9owAAACmXnWlkSUWhkRK+AAE8XMCgO1jbTXmTD/2cQA8wtHOZh7vBYIAMPknnEsOtXlbDjDHiT+wpaMDAHu/uxdgVJOU7bVImJMEAQDU6t2nY8RjVIRwmcwIF9sGLo19bJ+NGkEfywLAHIfJTlpPED+HMQ9vH9tnnlwfOHr99/tYWzmmH9g+E4CDzWQSQmh6eFRAzK64uvUnNY03a9hI6bhNXZMud3faeR1HuEmiZWFBL4sWuPEpkgCgc+PsS1LYHyqnaSCsLYz6eL9MMEaQdJwwIzNLfGSpH8imssY1AACQDgQAsKzNTtRsXz9nx40NQmgihDhy1+7QKTex7A9B47XB2L4fxk84jtuUnRpskiGEJgmTFOMggkIDqZKrLarPqqJ2B9luZhuvnMvM0kJAYlgkAAC5QEiB2th8m4aQUd3kdI3NHABfKBijGW2NJ1jAB7jT3WfiC8bvZMvz8HAD0LbU3mIjV1hV1FjfaDFlnItQSIKOZcHFjT+Lc7W7CRcQYOjQNrPgYb0btv62EYBYIJzsbQO5wI0PYPvwGnR6i2QMT+DtBsW39Y3fceES6wuf4XYLA0D+SugyyRoghAax2qICtQH4K6KlXjZiGulCAQD3oH+iZ2O6kit3OKDe3Ju1O9S88WriHtjZp9f+UDlNA2GNYR/w+eMss/ckGrguGFoaDSC2HvHBtbT8CYDH9/B4JFVDCA2xPwTxhQICDB0tNtpgXEvLBNNejtuUnRpskiGEJgknzhwPEbz+HREBXVePHL9qsNVcNigzP9VyQPqHrxhMVXsH+lMA+hJVbb/VtlyVqsRgAsHSQF97k+jCIIkQTHSxSjOqmc82FBUUa2h2sFb80BAxAWxVXkGL5aZsTUG+5XIixMuvv0oCV6Oynu4eAOiKwqKKlq6Z6HDn5P+6DwH9mqLRu+lQ/VHDAeHz+tJJJ0m8XxXbPrwmXXGJ1bIpwlclQgCm9I8V1g8HTbqiK1oAMijIevY4hJC9iL5GZV5uruKi2tbjd1Zz8xYHQM0XWj/G46yGXvRxfSYAN58lVo/Xuhobxp6pkbMIyPaHyulx8n99EQG95X+0noUeoF9XXKCq0jHTiZ7coxtoPXBdAK2qSGf9FlOqKu0FEIYE4YQUCD1a9ocgyj9IBNBfXVRiPfkEW64qnaiH2mBT9oqyymo/Jrpwz6b1cXvyRwWKicIXNskQQpODSYpx8YTRO+W+DsCUpm9KVRTfNov1vbpiRdKmTDULZFB84qqhdjixNGrdEgKMyiPHrxpGmqucQZV+UsWAg3901PgLSVvwkkUFkWAoOnxASZu1fTm9KmPPKcWBPZlXhmokkMWGuwGny0tJURTXG1kOuF5jbdHxpDTVA8oyF+C0LFoqBE6TtV9RZX7x6tWcT08/eXz/nrzGmchS8Ff/c5gAuNqc9PP1ZpekXs359JwGDgSr/0f45PtFE5K14QsBjMojp8zTRmytIuPTUZdML9n6UCdgy88dKNSNfCMTU5WZnn8HiIWydaPmx0YI2Yvw//VqPgBbfCot13IhD86oPr/3cFEXgDDs12YBj3QiAcBwS2OR8/UQLiAAdBWl5g/3WG3u0Zza0ZGIeMHRAYDT1lquDWR/qJwe/uroZRSwZZlpuVqzCpiYssz0A2eP7/hIaTOdPRHC0ZEAYOq/0T6yIdnksnfDhWCi89Mzza8LnK7gyNkKFshQuXS4IwVbk/P++rXrU/MahpPFJrro4Ka16zZ9VGKWle6qOJmwXrZhf9Gdh/MdEHrq2R+C+OGRy0jgarP3m2/J0aojZ0elCUYh/KPWiQnoUh05qtKPPBNiW/Iyzlfq9Czfe2QMtL3hC5tkCKFJweEeEyBE8mMHuO0H8xpqCg7UFJyYxxfMI6GX0RsZzgTAowI27t9rsZinMHpnYsPW42Ul6esb/xC01EtAcIbv1FVahuNRoVuSIyf1MGqeNDVZs+nw1bJTG2SF/kE+QheHodKADIhNHJmRzsE/IT25b3dmcX3BgaSC4QKoFcmpQuWOXPM7eMJ34+6E71Ky6gt2rCvxXernzXeEXvobtUbPAuEm3Ro7ahk/G5iitLWlNrYjgrdc2BlMAAApid8b3fJ+vjZ36/qypYGvCl2gV/dNpUbPArFIvnezPXsZhSd6d2dsbUpOw5X09bf+ELrUy4XXp9dUV3WQ4ZtltxXKFvONqTe3JWvaDqqqMpOirvgH+whJrrtZU1HbwYGT/9YP5V7Tn3oDoWcX4Ru7O65x93mt5vz29ReFoiUv8kkex/5ZV68zsiYAJ3HC7ljzjmOC4LCAXG1tvWL9WpXHPMHqlEPRIoB5YdEr8mqvaE5uWl8WIvGdR3AM/U2lusXBP4CvqbVc0RN4/qvC+EWFxqK9678R8l1eXn9syzISJhMqp4cMTtoXRW8v0JxPWFu0JPDVF10IU3dbTXWtkQMHUcxWucdUogoZtGoZVXlVn58iKxcKKMl7J2MDHnZ0IrxidyfcTsnSKHesVwcES7wpYDsaK9U6xkR4hO9KHVnIkK36fwW1HRx05BXWyH1DAADgtiq3VGcwQVF+SXSYfCCdYSj5vFBrBDDmFmnDE8W2d4sQmgz7QxAZlpRapfugRHs+aX2pJGSJG8EZWyrVWs4nPs4n53z5uLvhCaN3JtZuPV5Vfnz9LWWQxEdAct231GU6Bgh+ZGJswEgDzu7whU0yhNBkYJJiYuTS2N9f8CvM/bfCEo2+y9gy0GgmSA+JNFouDxePSv26SQ9m8XPPKi6Wa8uKBscgkKJlcfFJ0UsnPa8ZtWL3hb/zycrKu6LVFNOawdKEkujYxHdXWMzpQAiley/4h19RFVdr73b3cT8X+i77zbpwcV/e6HXpRNEZ5wS5meeV6obKqw2DL1K+UnlCvMzXvqVMuF7G1rNJom8k6U76xp++IFScyFXVqq/q1QAA4MAPiNywbeObHnZOzDF6B4vkH5+ksk7nFNVriwcOLykK37F7q1f5JoX1xlRI8rmToqysvCtaddFtNQAAj/QIjkpIjA2aiXn0EHqmOYhjTp7zyjt3XlnRQmur6KEhVwTltUIWt1FufZa5yQ6ls0cy8spouoWhHRuZaBEFQAYlZ+x1yDij0tZeUQ4sz0GJZQd3SvW/22SdpAAiYHP6XlPGGZXWcEdnYDXNicsGGsT2h8rpIQM2nz63UHEmV1VbX1FUDwAAPEKwVBYTHx8ummJvZXJFSkYvHM652tKhazFyDXRsgI31pGcZIYo+ck6Qm3m+UF1bMvhDEJQ4PGZTgsz8Okf6LvOnatQMtSzIZ+i1hYGhQmX+HfANGVlBULBU4punbeCEQUH2LkOLEJqI/SGICt11+mPh6RMFFS2VqhYAAEIgid23S9Z3Kmfi/QilR7Oo3LOKi5W6qiuDD7pI0Zvvbt4U7W/R7rU/fGGTDCFkv7/56aefxnm7vcP417/+da7LLx9ahWbDve7vn3vuOXe36YdAju0wGnpZcKAEbvyJpyHuZ/R39N0P5rj8SuQxb7pD7bheWk93PwBHR75wUqW1ZG/YkEd7yM99tnHUBEgmlqHpu98DOFILFvLJ2UpjcyxNt3X3wc8FCxbacdzsLLSLbv5zN8xxmS8SUhOVyTG0vqP7Ac/RRSgSYI9ChMx0M98DgAs1nTjPMXd0bf/Z98AEc34pWDDRKcl2Gbs5QuBmuRVrbGnR3+snHH/l5Suc6CzlWIORAUo4+nSecqicLLZD1/afffBzFxc3G9WYChPHGI0PCEow75EGKRNruEN398EcF77HGL8kx7LgQBLmlwwTx/YDaRXfOZY1keRUU9IIPW5mIlrOGHtDkIk16GjDD+AoEHpNYcJ01qinDd0P5rgIhB7jfHwy4QubZAg9ywYC6YBxwikmKZ4eHK3+hvMPsn6UxxSlrv9IzQUkfv5x5JTXp0MIPbUeq2Y3Qgg9tjBaIoTQNNmZpMCJM58SXH3Oprg9O3am5ZvPpQRsS+Hx82oOCHGQBDMUCCGEEEIIIYQeazgnxVOCEIdFLlV9VKnOSlhbKPb39aDmcExbo6bByAGQAbFJk5uwEyGEEEIIIYQQeugwSfG04AnDD5xboMw7X1hSq1UbBiaw45Ee/stW/9OG6GA+rj6NEEIIIYQQQugxh0mKpwiP8o1M/Dgykes1GhgOCNJlHjVTs1QihBBCCCGEEEKzDZMUTyHCie9h3zKiCCGEEEIIIYTQ4wMnzkQIIYQQQgghhNBjAZMUCCGEEEIIIYQQeixgkgIhhBBCCCGEEEKPBUxSIIQQQgghhBBC6LGASQqEEEIIIYQQQgg9FjBJgRBCCCGEEEIIoccCJikQQgghhBBCCCH0WPjb8d/mfvwRfoJ73d8/nNrMkv/+bxP8jambebK/BUIIzYb+/r8AAEZIhBAaH0ZLhBCapoFA6uDws/E3myBJMeCnn36agRo9Wj+ByfTXR10JhBB67Pz1p58AMEIihNAEMFoihNA0/fWnn577m7+ZcLMJkhTE88+bTKZf/vIXM1SrR+P77//rueeec3JyfNQVQQihx08vAABGSIQQmgBGS4QQmqZe4PEmnnEC56RACCGEEEIIIYTQYwGTFAghhBBCCCGEEHosYJICIYQQQgghhBBCjwVMUiCEEEIIIYQQQuixgEkKhBBCCCGEEEIIPRYwSYEQQgghhBBCCKHHAiYpEEIIIYQQQggh9FjAJAVCCCGEEEIIIYQeC5ikQAghhBBCCCGE0GMBkxQIIYQQQgghhBB6LGCSAiGEEEIIIYQQQo8FTFIghBBCCCGEEELosfC3j7oCTwb2bp36Ro22vZthOcJJIHppachyP77Do67Ww8I2XVY1sOTilVJfarb3Zbz5RXm75Us8gvyFi8eil8Xu5Gzv3RJHX7+k7iSEyyMkrg93zwghhBBCCCH0TMIkxUT6W1VnPlJ81c6avVby5ReKf/WU/fbD+JWuxCzvv6etycASlKfnI8yJMLWXFLmt/Ci/h5CkaCnNVVzjbL1DOPuu2bRlY5j7bB/yYWyjKltRS0oXzG6SgrvXqjNyBN9TNPehfTWEEEIIIYQQehxhkmJcpk7lgdTMWhacF0sj1gQuFgpI6O7Q1pVcUn7dqjy2jeVl7lo+q/ftzPXMbZkNlOxoXuIrs7mfx4zza+vWv+Y8+B8Tyxh1mhs12oZLh5M7ucw06dPVr4G+9FFSfrso5pNzcvdHXReEEEIIIYQQepQwSTEe9sYnObUsuK7Y9/HOkKFbZpH3YsnKiLD81KScppLsfNkbm8W8R1rLp5HL4pUymcUde2xsa8G+VMW31YqcypDU4Ic88AMhhBBCCCGE0EOAE2eOR6f5jgUQrfkfwxmKIYQoMkbqTpFce2OnjQ9y99p1DXXapvYe1sa7wLI9PSxnAgAAE2tsbqr7tom+Zz3GgWOZnp5Olhv4J9PTw/T0sDYGQrCddFOTtqGV7rE1SoJje3oYtn/wPz3trdpvm3RtjM0BFSOfuduq/bZOO8FmQ1v3tOsa6rTN7T39tgsbqYCJpZvq1F83Ge0p14qDZ1R8hJAH7M0SzfCOzI8k26n7tlrd0G59yPsZuqlJ22DjCFszscbWJu23TbpOmz8bAADXO9avwPb0MLbeGCq2oUl3d9T7/WxPD9N9f+A37h78iU0TVBMhhBBCCCGEnlbYk2I8DzgOAAjC1kwBhF9idl6i9aus7svcnILL6rtDd6M8UvhaRHxijGTuyEblH8vTrhPStJyo3uz0Ty7rBu+ICedXIpKSN4YMjmVgVAfkmd8OFltyRF4CAETgrotpYUO9CHoaLl3IyS9pGEklkJ4r5JsTonxH+hn0XD4UdaaOH3Xi3HLt8aO55e2D2xLzA+WJ78sDrMeqGG/kZmZ/MVx/Yn5w7K6tkjGOD9t8SaEwqwCPEq+M3PS/3xE7jWwzXIGMxdfSMy9rezjgecYqzkxlZMOCl3xIoNlOuhNgAcDIkVSENR/LKKgzcgCuEadzhvq29NQVnM3Ou9HKDt32k54r5PFxUa+MGqFjYuoKsk4XVNLDv0XAO3t2hI/arE6xeZeyZ3F8zokoyyEn5R/L066DZHvBobfM/lpMneq8swpl9VCxQLj6SeUb49d4DmxEF2zbkDc4TShduCuqEABI6cGC5Ncmf3AQQgghhBBC6MmHSYrxeHi6w1dN2i8vqldvkThNuDmrPrstTdnOAcF/JVjiKSB+7G75prLu5sU9NJtxdrOf5cyXbE3W7i8rH3gHSkWu0KvT3GwyfvtF2h44nblR7AAAhMdra6TzOhuv19Ec8F9Z4c+fAzxPwdAtcM+1jxKPlRpNQLr7hfh5Us+zxqav1U2lil3t3KkTck/LxMq9a4c/uKT52eKQNSIKOhurq3V3q3MOHCROnYhaMLKV8ct9iR9X9wDh7B34+iJXor+z8etKxd7/ZoNsdR34+mzSgUs0B6S7X4jYlTD1tHxTrf0qO6let+/EzpC5llu35e9XVusc3P1ed3cEl6lOAkoQzwGAdWUMV47tv1EH8xdLFjoTDkNLgNy9nLb9VPk9IOZ6hviJKYc+4+1bmuZSxa4m3baPdr1lnmNgyk9sS/uqE3ik6LWlPnxHrkt7s/bi/oOcdGrVHGBqV36wLbOWBYISvfayF38O16FVf1unPLGtpfNIRsxiAsDRc5l0jcFQV1rXCeDqF+bnSgAhnjedvSKEEEIIIYTQEwyTFOPhr46WXdqnvHt5Tzwt/c0/ydYsFTmPvf5Cc6GiqJ0j3KWpR5LfGHpWz7Xm7diW03T5syvRfjLzB/hs+ZdNYds+SX5rcH0Qru1SWvJZdfulvOvRh9aQAKRf1BY/YJRGeWYDJZHvtJg4s7/uQnap0USIo9PSY/2GOk6wdWe3pShbC/IqZXtXmM/aYLx2mXg7Le+9QOeBLgZsU86u1Lzmps8LqmXbAwe/0t1LGZ9U9/CokPeO7Hp7aAkNtrXgQKriy1HDH3orM49fok1UyHtHdkUMbcy1q46lHr9eevysxHfvCvMhMsav64Rrdn723gr+dNav6Gxt+S8AnoBvkQFh627SIe99MlINAIBO5fGz5feA/8aW9NQ1wqH60Zc+Sv59ZcmZU2LxYdn8oc9fyzr+VSc4+cUf3BPlTQ59lcuHU08V3Jt6ZXV5HylqWcJ9TfKBzWHzB2vQc/Ns8qFL2vysguVn5AvA+Y2Y5DdAl9O6Kb9dtGbzLpw4EyGEEEIIIfRswzkpxkUGJh5Lk79CQU+TKud3m6KjouJ3HVZ8UdLQaaNrgXfMuezD+9J+N5KhAADCU7ZaDMDpmnXWZb/xL4lvjaxgSiyIiJW6A3CNjdqJK+bgl6z4JGPPkbSRDAUAkH4RK0U8YHU62mpeg7lrkn47lKEAAHKxPGalM0CP9tbwlrpLX9T1g/PKhOS3ze72Sc+oHTGSUR0f6KJ/K+kB/tvbLVIDhLv0/YQwZ2Bv/vtXVlN1zI9IeX96GQpgynMLtSYgXgkOsJw203nl+5YZCuC+/aKggYO5axK3D2coAIAQRmxNeYuC/rqCPzQNvdipKqxkgZD8y/bhDAUAEO5rkjevsJ6KxH5sZUFRK8dzj9qxZThDAQDOr29MiVwsnM/ptLbmMkEIIYQQQgihZxv2pJjI3MDYoznS2muqktLyr+votrqStrqSwuxMzxXyjXFRlnM6EPP9QuZbF/Djj0AAcOwPHID5jbTo5ZetlqgQeroT0M71Wm9pG+nut3zUi9yPAAB/sZ6gkRD7iS1LJBZ6evCg5z7bDSACAGhXf9sJQC1fPWrhjLkr33wlW33TvMhO9detwHOXhvtZ15NcusyPLLnWqq3nwNUs17Ho5UmtgdLdVlf3bffgf0xcn7G1uqRI1cAA4TmQXjHn/bLVlwPdzWojgHBlxKj0CimRruRf/sL49Q2dabGIB9BTrW4DcFj69yutJ6ogX1v5unOpqmcS1R7GNZSrewF8I37jbfUOIY49cSF2KmUihBBCCCGE0FMPkxT2IPgBa2ID1sQC19Ncc/1Gefm1yrrWUsUHt+p+e+RQhGUXfRNrbLrV2KrXtdNGY6eho52+y9pKOhBzHKyzAYMTdJoe2JWkAAAAtq1Oc7uVbmun73Yaugx0W+fAJJEPrEp2+FvrAp8nBvY1VG0D3QnAE4oWjN4J6eXpCjfbzb6jnm4HMN3XFJwyWqceHjA6DoAz3OsEMDsyk+xD0XP9bMr1Ua86+8mTt8u9rcoigGf1Cqtv7wEgvBbbGj2xQOxFfGG8167vBxEJYOw0cgDeIq/R02QQIpEQYEpJCqa9kwXge4um3hcDIYQQQgghhJ49mKSYFMLZO1jmHSyLYeryj+3PrVP/61ll0GHZ4BQJHP3l2Yzcy9rh21oe4ezqKXmFKf925vv2s01fZJ7KL2kbmS2CcHYXv7bY+HWTcQrFmX7gOADez0nrzAkAAGGVTzH9wHIAwNR9dblujPK4KSwyam7u4jC/4bkt55C/cBV6+y1/Y/E4U4JY7LyfA6BI0uayLH9LOgCwHPsjAAD0sw8AwIGcY2NTkrS5sIsd2H4WAMhReSiEEEIIIYQQQuPAJMWU8Cg/+fbYb2Mzv9VWf8PK1pAAwF4/mfxxaQ+PFL8VIQ1+zWehK9+VIngAN3739ownKe5e2v9Bdh0Lzq+sWRsW7LPIQzjflSQAei+nrJtSkoL3c4IA6P+BZQFGrWPCsqyNjU1+8ZlbQsZYp2POL1xtv2Ef0dtbpzGLJEE4EAAsa7MLi+m/WQ6AR5DPA8BQeoJl+wBG9Xpg2X77O7VYIB0IGH3cEEIIIYQQQgiNC5MUY2ObVIVfG8E1JGqNyMatOElRAMA9+MtAnwFWXVLZAyCOOXE62uLuerp9Cmwx3rxWxwL52pZPDq6xuLX+cao74wmErgCttLaVkwaMGj3R2mlj47Zu1uTKHzUHx2OA9HB3hq87W5rb4Q1P6zdbtS0cgKu7YOA35bvzCTDe1bWwILTq98DpdO1WH54DPADgRv2mDNNrkc6g3N1JaDU2a42wmD8D3wghhBBCCCGEngmznaTouaW63tpv860XFr/11ku/mOX9TwfRpy26qOoljQve2LV8VL99tq66ngOgBO4DEy5ybD8HQHl4Wz3/57S3vpvi43jzUixX6+BYFgAoT+spD9j6Op3Vuh72cpcEuOa0dt5U1bABlnNndl5TfctZb/yae05re8mVOrm31dyZrPbLywa3QImvOzmZmTJnlug1P+fCy/S1y3XRm/0sEkyc+so1own4ry4dnMjT2U/iCXVNNaprTFiExdyZ7I3L5b2W5fJIygmgs11bz4C72cbt10qaLDYkfCX+ZGl582VVc0SsxSQanDZ33+kbfR6yD3e9bdHZZHTmA6EnCduuvl5R10IbeznCwZG/YLH/G2/4zbc14oltKlFpmRc833rb70mctIVrurg7LV83L2L/wY1+o/qdzTKm7strLfctXiJ+RpLzhD6LF/NnrTJca6mytptYsEz22qS6yDF1l661/IX0emuNjV+6rbLgawOAi790hWj0Bba5VPVtN7gGRi2fmYWZjTe/KG8H/uvvhExY3r061bVW1tlP+pYnDthDs4JjdLU31N+20vf6OJ4j391T/NobId7Ws3cDAPRWK3YdUzIi+b40+eJpNiQnYyBKA1C+a8IWT3AeGG9eKm/ngOceEhk4w09letvVNyrqWmimlwMHF76nWLI8WDz3IR6H2cL1NNVc/7pOd7ebNRHkXKHYN/D11z2dH26zmW26rGpgycUrpb6Df3u0ct/uHC2xPOH4tmksb4fQDJnlJMVfGv544f9U2rz54v1qrf9jnqTwk4a5qgo7S84cEpLb5WYLeXCd1XnHj6nuAbivlL4y8Brl4UbBt4ymvJoNCByO6MbrZ09fZqZTCZIkAJjG2iYuYOQCRbm7E9BOf31DF+053MuDa7t0PLtyygMMRG+/41d0tu561vGX3UdW9GRb847n1o36BUUR70iKTqm/PHbY44jZ8p8cffnkvjOVPURNYvbwVB2PABHwzlrfa4qGSxkfizO2DS99yhkvf5R5mQEHv6hIv6FtXaWy4Lymyrr/czBPdEA+dDHm2i8fV4w+mO7+vq45zZ3q3I+Vou0ybxIA2ObLmYfzRy0wGxwldS8vaC84elZ0aHPI0EInbG3u6YI6nUhKwUwAACAASURBVMkzRDzS1iedSAAwNtQZTZ78R5fZQWiqmLr8rNP5lbRFPvpyXna2aGVMynsR1regPXUFObk613d81vg95DbZjKBvXqvr4aDnWnnrRr+Ah7tvU6c6P7vA5vBBHil8LSJ2Y3SI+8y34O9rLyuy68g17pNMUoChMldRC34/e80vwvoGTPvlJwplJwAR4hq8b7lVnbnGwizFNVYo94savYjVlLSU5Cqug8Q5YuLj01F5IftSz+KNIZikQDOPo69lZyguaa3m5M7NdvZdsylxY9gCy7/P5kpVK8tBXcnX7fLFo3qGzp6BKG0CYjH4nHpnvNRDf3XeqbOqHgAimC8LnLk2DKstOJmeW2k0b39+dSkvh/KLfH9PTOCTeO0YwLWXKo6fVzZZ3BqoCnOJuX6y+C2xy10fWg6Gqb2kyG3lR/kNJSk61deqjf0A18obfrtieDR3T1uTgSUoT0/+GOO7EZols5ykuGc0mgCcX/7Hf5S4WgcUx8Uus7vzaSPEMTtjm/bmNNXl7IotcPf0WehK8ji2o7WxtZM1ATgtjt8RM7yypp8sXHwtV/vlvtjbwa+/4kEBa2yuLm+4LwrwJGpbp1oHUhIW7HyzlC5IXXvDnU8Fbjoa48cD8vV/krlXFrReTNpYFxIk5r8ATHvdza9bYbGfsKeOntqu5kek/K+axDPV5WfeayhZ+rq3gPhLe2N1tQ6C46N/UORbTpE5d03K+3WJx0rLz/xvjdJPInanfsYZm79WNzEckH4xmx9hhgIAANyjkjdrt58qv/bRBu2/S14V8Z8fqh6PCnlvi8xslAq5MiFZ3Zp2rSknObb8tTd85hNcp+7m100/Lt4YK87NuWFRrvg36yQlp9Q91ZmJ8s/c3V1MnfRdlnhlo3yh1ZaEWL4ztik1p+Fy2savxa+95jWXYO/WqWvbWRMhik6IWjCyKf/1lX55TXUN2Rvkl4XzBGFb0qIeYlMEoWkxdZYc23n4WicA4bw4+O3lfsK5jtBr0N26prrRqrt2NknXuu/YFslT9FBG9JuNsZ1/pOeuiXrlUVWB9JNFh7gNrNDEcf09xjat+usm+ubFtNoK6fYjycttPZJ9BCj/AE+obdLd+o6LCLZsebdrBqdq4ho0WljuZ/GmqbVOyw5+HKGnB6fL35eSU8cCEPP9pG8Fi9xdSFOfsam6pLRS13DpcLLOmHZA7muWHAtYlxzVd7VHJIt4NOcC13xZ1fxOrPVi6iPYG5fLp7QI2vi71eWlpuS2coSrX0SEdKmngJoDTGdjzeXPL9fV5R9K7k87vdnvScwhsk25uz+4qGUBSHdJ2MpATw+K6DO2t2pvXCtvqys49B7dc2KfbBYyzXZxlW7cSBdqCcm/SEbyEcz1zG2ZDZTsaF7iI7vkoWfUbCcp/pMxAfxKEil7+5ezu6fZ4bBYfvSMKP+TnKJKXXuTun2oTz9BiZaHx8auk5g/VVqwLj0Njmfml7dWqlorAQAcXEM2Hkhy/X/yqScpgFy+9XAvZPx/pbq7rbpOrrE9xm8BgMPi+CNpxPGzBbVNJZeaAAB4pOitLbujudMbp5qkAOBH7Ml0ys3MvqRuqlQ1AQAQ7sGJO7Yuv31IMWpj5+U7z80TKxT5JU11Je2DKQzSPTAqZrN8+bRmzZwZ89fs+9g1T5FdcKOp/MvBH470DI7dmBAVYNWCp0K2n8hwzzpdWKm7eVkHAEDwX4vZsz2i70yudbGua3Yd5BSZ+SXNTE97aw+PFL21OeW3awwfj9rSwVN++AQ/52yOqk5747IWAAAI58VSeUJ8hKfFFWh+xP409vip/PL2dl1PO6llojwfk3sMhCZAF/zu+LVOcPCUbf8w8Y2REz8s4p3Y9tLMtJOq9suHj3qeOxzx9EzO4hwoTw18pDUgPN54R2bZXkxkW1WffJR5uV11bC/FPxFrvVTzo8EP8BPymmhtndYU7Gf+oOJenWZoxp+e+ls6k5/I/N27dZp7AE4vB459a4TQE4f9+uz+3DoWSD/5nv0xZvfYK9dEyZvyDu3N+bYp53CW8OzOkOGhWzzXkI0fhjyS6g4wtX+pqpZ7B44RUDpLVDUzP0P4vcvn8ls5nnvUwRPxrwwfp8Xi11dIQ7KTPviCLspWvn1GvmDGdzzLeiszD17UsuD8+sbD29+x6GMYE6MtOLQvu06d/bs87zOxD3NojxnS951k33ceya4RGm12kxT37/3n9wAvzHV9IjMUAwhXScyHkhiup61V39X3wARznAQenu4218IkX1m3L/udnrZWvbHvgYOLt7enswMAfPilZYfVkD3Kr/bY2tcbH3552UYNRBE7z729taez8wHhzB/uoTA3MPZwoPxeq47u7jM5CkSeQmcCADK+jDD/sHPE4a8iRhUJAE5rMr5cM3pf/OUbDy2P6WlvNzB94CQULaAIAPC2XQi5OCL5VERibzvd3s2BI8l3F44aKzhmBcYQkqr8KtXujcc6kgPm+sn3nJH3M3QbzXBzKDfP0dUbxKP85B9eiGaNre3GfiD57iJXEgDAVvmkd0RyZkRiL8P8149z5ro6OwAAiGzWhHAPiz8ctpE1trUb2Qekk1A4cDxHIX3X7ctex97rZLjn+fMxQ4GeEPcuK/JbOaDCth1IfMP675ZwX5F86AGTeEpdm5tzfaWNmX0AAIDradfR3eDgIlhgO64O6mfou51sPxCUu8jmVBcDTKyxrZ0ZezOul7n/V+IFZ5IA4O616uhujhL7LSCBZXt+5J7/GUWO7tFq4tj/Yn+EwU8N/vc50tlpeKAb23N/+LNcT3u7geEIJ9exzvfBz9xtp7vMwqxFIZNHekq3naB47+35srXg7CWpzR7abCfdzrAmgnRzF44+1uYVMLF0s87AzvF4ZTF/vB+F7fkLB88RLzjZXPAZYMHL/s4X6Z46TRv4mT0JZuvrtCYgXgmWtFWW363T3IsRmWW2e+pu0SYgFkt8rAod+HFZIChXobutY8uyPT/CC78gCR4A26lr1XfzBD6+7uM/ceV62umObo7nIhjjym5WAa6nvd3Qy4GTq9CdeoTzLqEnj6ldmX3ZaAKhzDJDMcBpsXzvduPmfarO0pzCfwqJHTlbzEOWdSyyMlYQ62fotk7WRFDu7nynydz9EgRh4nquXy7/l8Awm1PetF5WNnHgQBD9Y8+qNfm9c/V1Wg6IgHfkr1gfJ/KVaPkbFedqe3Q6FhaMOrMH9wUk33Z7zyL+D5z4DkKRp1kwGbyCjBEkrTeb6HpkuXNt/icl94Dwjjm85x2RddmkOGrPns73Ui61F+Re+83hwUnxx7xg2fjWEx7hURcdW5uYX4Y4lrn/YyfLDfyT6ekBGOtvD6FZMLtJis7/ZADA2eUp6OlLOC9Y7LxgZrecDB7hPN/GfF/EXE/x3BnvBEg4u3s62z1bGfH/s3f/cU3d9+L4X23Wd8d6nCXqEnCJtkQtkWqgShRFQVRuvDD2xUsf9MvGRqfDaaEq+AO1/mr9LVZFqalcWbnNyqeZ3GXwkYuagkTRoCVBIZmSTEgmJKuGUY+lnt5snz9IIAkBwg+ttq/ngz/0nJNz3uedk3Pe79d5/xjNE4wembHNHgk/Nj+YzfdlSxbFnezrZBxkNNvXYepYFDfIp91SYzlPY/NF9L1lOl+q7gQSlryir/4FnNj0xFJ1oVFVVrliXrznk6DTXP7Bu3nnzY7SLeGIJL/OXBbF9ygBdejlHxz/9JKx3VkKpngRKavXJIW4/1zsVrUsX6qoNTnf65FAUULqyrRol6azdq10ZY7iy/CcwlRauk9abWYASPQ7ZzZGmMo2vlloJDNXf/perMfPkK7c94sDNfTEN05JU/kAYD6dvbLIwFl6omBZ1/v/9opdSce03KRDJ+bpcvcXqbpPKDA8JePtFM+mW2C5VJRXcFrd2rNZ2vp1Cw1dOzn28bIh39Ip8W9+G3PpXaW+VKFfmh7cs6K9ofRUYbGywdZdkaCColJWrnLNw+6zOBhcuTuvQtfOACsoTXqsz8mgWyt2rDusuksJU3ceTAn2vg1LGP4qpag0a+ptaT0NxJhGzV8YANGcXy8YfV1VbdRq6aSeXGcarusYIKIZ03oSx1hVsvzCMpcvd2xwTPKq9Hi3YSNUR1J2VBPJDmnMrQMH5VoLA8CJP1q4UthHNIFprpLmnyyvd2YLxZP89p10rzdru00tOy4tqzF1j6Y8OkjyyzUZHs3iEOqLvrS8GWB0VFrvCEUXKvzNJJHymNZUXWlIDXK0Leq6ZbUHpxceSuIAMNfy0t9V0pyk3N+ne/zm7MbC1W/JzFTk5sJt3RHhdq1cWiCrNtKOIdUJNyQ2JT1VMtm3sgYnOmH8JfmVa+VVtpiE3jd5RlteYbIDXxI/oey0qvfHh3p0hvlfBoB4/9lSMRt/H+P1WPkFskvdxwIqKColfXnSdJdkd9//i5YxBe9Kz5u7bickMCJ9y4aEIDCdyd/9+wqD4zdO+NHLNr0d7zm7ny8PGq86rymUVgCOJL13hMKRZFFSvPBMga6h5kpHrGR0fw+snrP2LYd7PXQi0nLWiHvnYsWupGNaKnbHn9aGA9jKd6bk1XetoZV7U5QAQMJzPtkRg0VV9Fg82iCF7e/tAMDlcODB365r/2L5Ep5/kffKtCmcFx7pYRFCCD1qNs1VIwARx0T3E4fmL4wVyfK1+mt1HfFu7+Ls99QfvCOrfMAPiwodP4qxGTRX9VrFvszme0ffW9oTp+jUS9dvlDczhBMcM0vE9aNt+lplfY10i5XJPZbSXZ23mxVb1ubV0UDYwlnTJrGft5m06gatfO/axta9B1Pca5L2+xfztqqu0NzJoknjCEz0BwB+dLRQZtTVV6naYyVu50OrVddoAGF07ACxzruVe7aUan4YHBkrYIO1sbbW0FpbuPM9cviQ6xg0ltJtGcdq24H4Tw6fNYVDOq2NV2ul2w4wMQ/7371PqBkLZrGVFVb1FWO6c5i99sp9GQeqLHageKJIURD7Odqiv6rWV0lzzMzhQx55A83F2xW1Bj+eaBZvFIzpc6Q0a9WejY4Ixe7+Zh0gU2cISWWtof46nRjlKNnazdobNmAFhYbxQp8TkuraRs11JtY5aIVdp9UxwAoKFTlrF4xRvmWjtJ4GP45wjmgSG+g7OnW9vvzY2saWzUffCvcoMLedPbD9khYCg8Uv+RO/PptRMLc+yc4p0tFAOMGRIgGbdb/lxrXyI+9AYu+AC606tHbHeSv4ccQL5wrGAm3VVV/Slx/baINju+KfgO6N6IlnuKq1APjPihb3XcHzj99zpv+Wp34zJHPYyjNWVbU+Pdj9QjVWqloBRs/4t5nOA1ir9qzbp7QC+AeJRQIuediiu6ZtKM3N0pp2HEoP86WiyY6Mm3P+SoX2TJkpIdXzBkhfK6+2AQmWxAp0Zb0+OoyjUy8F8Vm1pvpSuX5O2kBziwB0B0yBjA2KFAnZfvctN69rblVJc/SGtftyFrr/Qu2MtuCd8ksgmhc7we9+0+fXdK01eVvfh6VffVygfT4kQsIfxdzRqevMpsr8HNaYwnUuE94N6kHjQV9b1wHAWyDp537JWXr0TK/eFt4eWACDyGHLmW0ZRzweOjXSrf9Lz+5/UjkyYWasZJy1sVprYoA7PSqU+zywggIwLosel0capGi33n0AQCzV+5edvG7t/i388CcRSat+9x/TnuI+IAgh9D1nNxjMACyeUNhvIdJfOJUDWnOLoRXcghTWKtmXwSl7jqV1N+htrdqzeZ+yvmi3PPyE8/V9+/kiRTNDQlJP7HnDGblYllC8MbNQL5dVJWx11HsNxfukdTSZvHTbzmXdg3TS9QWbtp3WyfbJZn7oNvCbXa/Si9IOb05xLf5yoiUhRbo6nfKiTeI6FUXHpc/qGSDBMQsHqItaKivIkh2yt5zDztP6wpyNslv6T+W1CeucPbpbTx/8sLadxY58a2/OEuebt06jfOdGacmI9OwmU6fySYXN0mxmIIgAQKf2VEGVxU6EyTt2p3W/wqW1+WuzFUa5rKY7Dx1ncVXLj93w8VtR/fXysFbt2bhPaaWEKTt3pwxQh6BEM4SsWq1e28hEibv2adU2WgE4InEgUGSagFWru6E12CMc7R2ar2vaHWu7GGT7pPU04cXm7Fod6fwSaP0n27cVaUsP5E4t3BbtmgRae8UU+daHLtNOeWM3ynKLdDThx27Y/XaEc0oCWluwcZO8yrPk3lwqq7TC6PCsvB0SZwLS6guyt5xWF3+ijV0twlI7GgDd0mwFIJOnCod3sRBRzBzumVLLpUrdsmDXJkKGyosmO/jPiQ11BBatisPvK62EH7tmd8/PmTbId2UXaOW5BeKC1SIfepaR6fFLeBWy5s8UDckZIW5pb68sVXUANetnkkCi8/zc8I4+OS5lTsWeaqNs/VuNsUuT4qLFvXt2uB4rN191F7hzVu/eGOt8TDCm0n1ZH9Qojx0WCve4jpUOdm25NiIn/52YroW0Xpq1Ud5clSelxG8d2xXvfPRcOZyxs8JSXaH6bYTE+eQa3IPGnaXZ1A5ATXlFMNhuYl4fWL7ncGupl4cObZTv3Cg90/9DhxIlrRaBTWFJyWtgi1M24MCZ6DF79hHu2/53610AYP6mMz4nmDVfkvB6wsKIl/yf+/rvNf+1K+fE5w8G3ANCCKEnE/OVrROANYbdf38+lj+bDQDtNs+5mIkwZU2aa5fjwKis1fFcYAylp9XOamKbuY0B4M+c69IHhAiSthw9/PuPNztr1501coWR8ROlb1nmOo0INX1ZdnIQ2M1nymrdq51E/Jt1vSrX7MgYEQFGp7rkOlZ9+6UqTSeQkNh5A85YNDY283cuE+NRwSmp0f4A7brrJmcLZF1pqZYB/+i3s5a4VKH9gpKylolHaHY3is15AYDpuOfIbz9RlvTDg5v37khzbWROieKjBSygDYbutDkExme/3W+E4m5N7sb3la1EmLxzd6oPbznHikInAtBarXP8aFp7zWAHf9EMAQuAEy7mAbS7jKPZoDV1rwUAukZWZgYWL2l9T4QCAKjgNzb/JpwCWiUv9Rgr2j/67QEiFADM1T+eaQYIjM9+K8Jl0kRKlLYhpXdvmzsmkx0gKMItAdNTt+cekxdghAL54oGtgwEgbPawG8oHx8bwAKyXlA0uC+165SUrAGfhYuf12HBaXsdAUPJ2t58zJUhalx5G4G6l4pJvUVFWkGRJMAGrssxjgEzzmXItA+xISYSXwVmGe3R2zLq9OfFBlN2qLc3fnJ60JOWtzQcKFNU9nf66MfWn5Q0MjI3NWBfr+pjgx6/JXsiGTq38T3r3TxBx6pqY7rAFFfz6EiEAAC82bUlP3zb/WUslEwGYFlOrc9GgHzRuaJsNANhjhzCvobcHls85bCg9re0E/+hVbg8dKihpfepIPXQQekQeZZCC9VLihr3bNm7YdfzUB3s2ZK/49S/fXJVz+MTRjEgOi/lb+Yf/pe2/oRFCCKEnFfMQ7ADwgz56DncjXRswdvcbPksYE+052gEJiY3hAbT3VGjZXDYAmCpL1XddP8sWBHO6S8ZMQ626A6iZ8ZJebR34c+YIWNCu+4tbVZzFEwm9DKJBzYqNpIDRV1b3HMt2RaVjgIhj5gw4tBIRijxekpKXgiawAB7Q9xwLzJo6KwB7nsSzhwKMnbMgbIQquyzH1KQ9SyieaF6wZ/qZbwAAvqY9HsPUlGl9jeAAAEx7Te7GfeWtIEzeu9undtgAwAudzgG7tbHBMeeo5rqBASosVOhYG8YBu1lT3xVUoevqjABU2Ayh44gNKg0NMDlW0usVpf+8fxePBmi+qm51Wz552sAvqw1119sBBNGxnpuyeDELe3X34AZwWQD6CnmDa82KcB1jYyM0IAbsAEBIr0vTpNiXvT7H7S+nQN3hZRcOrKCYaB6ArbrKpQytr1RZAXgLYpw/E8OVWguASBLL9/w5syMjhV0jv/iYdG7Mz8R+QF9xn2q0oaLcCBAYLZnp5dc2AkcnvJi3jn0q3ZGRGCEMpJi7RvX503m73kpKXZtXqnf9HXYdix8d36vKTYkl0VwAy9VLBvf7v0frvxd+/CMCAFwe1y21L7ApAHhAdzr+P+gHjTvGDgBAWIO/z3t7YPmcw2Z1vRWAPW9xRK+HTvSC6RhhRU+0R9rdg7z40pQZL3ku/OnCt7Jv31xX9veqs+pfiiJxeAqEEHr6+I0iLAD7V3QnQH9Fna5CHqH83Dfy503qXe9n8QQvETC3m+7QEEwBADcmWfKnbeXNpZtTK/nTZ4ini0RhotDJHNd92ZpNNADcLM09VOuZEMZ0zw5wt+0egKBnKfGe4K4BHc7rldXWhEQOAMDdS8oGBkZHLZgzcH2c+P3Ac6/PdcULnINN2M0mKwBLIJjo5diTgjhwydx7xWAxnfceAIAf9bz7crpZq7lpNDWbTa3Wti/ausbABwDPkTD6/irp25W562qUZgaCl23yNUIBACAME/mXVBjqtHRSLGXXaW/QQMJFzvKxIEzkX1Khq79OJ0RRjE6rZ4CIRM6G5TazmQbgThZ6Gc7STyCcCMp6s+kOQE9zbgIDVwPollYbADVhspdBQbkTBf6gd62OQVBcysyKPVf0sqyUM0GiWWHTRNNFYdODBpgKBKEeLxA/AKBpmvH4jdF3rmvr3ZuZsSDyn/3tix8dK5QV6C5X6X4n6mo4oa26ZAEQREc7uxLQLc3tAGBRncxtet7z85Y2AGj/op0G8OlXPDri3+axVRW15RVmSXLXT4ZRl1dYAIRLYoUsAM+a+YgdnfDCE9LDE9KBbtVrrly6WFmpuqVXHFur/ss7eesi/LuOZW4HIJOCvQ3wO1E4iZy23DW3dILLfJ9eQkXg9c7nGLvU8b/BP2jcdD0BaXoI3fp6P7B8zmF7m8kKwOL3+dC5MgIPHYQekUc7cGYfyCvRs39arvhbk9Fsj3wFJ/FCCKGnDovDHQvQ2mZqBehnpht7i8kCwOJwPWqZfl6nMSPEjwDQDzud7whHh2cd2cMvKPq0Wm+qqzLVVckLgfgHxby+Kj3RUU+mO2kAAKtW6WUK56409D09nvvRQ2Pm+J8v1VVftCQu5QK0X6rUMeAfHT0yzWLtDGMHYP3A6ySjhIzMgOmWZisDQHE53SEgWn8673CxsrmncEz8ecKZwZaresugdn2rSun4R0lhZXROtM+TJYeEh/hVqG5pNZ2xka3XNe0AwdNCndcM6VrboG1kosTN1xtpt7V0JwMAFOU1cyjKjwAwdKdnxW8gDOMInHndKxnFArcgBbBjNh+iij8sPHPNYKwtN9aWywEIRxT7xopfxwpG5ntD321s7jgKgG4xWwHcqtOClEMf/9z5H+Zi3soCNQDpv5VzYHRMSJGu/qqynhHNJMBoVZdtQIJd2qZ1/SjAUl9VXt/HTuxdjal8QcSSaP7507qKCkPSMgELoL3yz5do8AuXLPQ698/IHh0AgAoMjkwMjkxMTbtStHvvad3590+Ip+XMowAYppMBYFPenyc/oPwAaIYe1MH6MMwHDZsTQMBsazU5AvDD4nMO279iGADWj7zeQYkf3rzQE+1bCVIA+P+EDfC3rx+MyEBhCCGEHjcWTziFglar5qoZvL7F6qK/pmkHGCucGui+vNPrGyWGoRkA8rxrswt/UdI6UdLbNpP+L40NWm1drarBWC7d2Gjbe2JZMAGgCAEA/4UbcvucZuI5tm/RcDI9emFgqfxWpap1aVKgtbrayABHEhM+Mq/MWT+i/ADor2xfAvRqRUJ3eA7aMSRW9VUzAJk61dFdAlpLt28p0NLgPz329ZiIqVMm8AM5FAHoqMh+Y5BBCsJL2PhugvVwplSrPPKe4CW3WUv64/dKeDBR1em1Rggxak12EISF98Ss/KaFBxNVvVZrhAkNOo+1/b5+pOlOBoCivL4Y7fdM+nqt3bXX+73bbBOOOPUdcSrTbtTVNVzX1ddWXzVqSw9n3qZP7F/aq8U1Qp4mvyIg57WmOm17Ms/1109Gc3qmMzcz9wDA70X2AFFR9rwokbS+VlWlzZgZDvVV1Xe77l09eyV+AEDEK49leOuOAQDg5z9gF7YewbGSoNPSW5WKutSsmcRyvkLTCVR0bIz3XYz00V32zJ21LDux9k2ZWa3Wwbzw7ri299+y/X9pBoBFqOeGcjAPw3zQUMJX+Kxag75WQ8dG9hUcsJtVilqLfUxoXJTn1KdufM5h1o8IAej8iqa9vEsYUrMOhB6fRzkmxZd/vVapunD5r14GyLz7dysAvPCCzy9iEEIIPVGIOHKGP4Ch4g/qPos6NqW80gLAnR3hOdJBu6Hlbq/N7UbdbQbAnz++VyGOsPnTIyQpK3Nyf39qXYQ/MKayP6o7AQDYPB4F8IAGdiCH6/2P7WstlhUcM48HdqOy2gytF5V6BgLnSkJ8/PCAO5/ADwSwG7Q3eueXtVFvHf4R6KufKPQM+IkWzHJkoOVKpZYGaubqD/evTooNF07kON44fjPoMaHInF9nzOHwE9dlRbOhUy99L1/raxGXHRoWBGBtrNPX1RkBOKFhrlEtKnRmENitmnq9pt5zbdeXazHqvMRTGIOhGYDF4Q8wN2xv1IRADgDTdMtLU2eL0dTee6kD8Q8SxSSkZmw9JstbJqKAaShRNPS5NULd/OdGhRJgGk5/2tDnT89UfclgBxIknDzQDct/XrSYAvpqpbqT0aiutgMJdZsK2nGF37eTPm6JHO7geivxFkrCCdhUZTW03VheoWeAI4mL6GMXwzy6TasoKiz6RNXsfXXX2JNM51dM17F4/n39lsGoa2IAxvICRqIp3HAfNLy5MUEA9DV5eZ89LJirp49KC6R/0tEDfDk+5zArgM8BsJt0xt5XHd1iHIGHDkKPzqMMUnzzl//OO3Tw0EdV9zxWMNfPX7ba4cWpr/Lw/QNCCD2dyKz//+dBBO5WHTxSZfE2YJip6I/pBQAAIABJREFU9EjeFRr8REmJveZAsOvLz3uW1Zi6ivOtAP4ikWOGBcZSX6WQVRjcy1fcOZEhBIBptz0AACAh4lAKmLoKZe8Sl7lGcabGcHcQFXLBwmgBCwzVlarqSp0d+D3dvIePEzknmACtLi7xOCO67rRc38eHfMaYK3IPV1gABAmp3bO9MjQNAOwggcd7S/qG1tD3GG9eEdLV9JId+faWlCAC5tJdByp8bIvBDRPxWWC4UlTewLh8vz1rBSwwXSpS6hkY7ba268sFfUW50WOX0F5doeoA4M0RB3quGpAgLNgfwFRZoe10X2E3Kis9vwm6uVZZ8onK/WolE+dGTgQA2mbDIcCRD/yjk2I5YLfKc/PV3sJgTPPpoyVGAEq8OHrgVgZUxIKZFHRcu1hd89kVG1Az/s193BzBLJE/gK6iovfPvP1qqaJabxnkS3T/ebGRo4Gu+7PiTOkZM0BQbD/R2+EdnbRdPS2TFUnPeB1d36ZWGwCAy3PMVSGYKfL+WwZGfbbSYgfuazP6GQzYd8N+0PAkSVH+wOhk+wr13raktdKCynYA/sJY0UAJ9jmHeeIwDoDtSvk1zyy3VpbXD+LexQzyeYHQ8D3KIMWY2fNfJcBc/6+Df7jec0d+8BfF/gPKvwN5Of5nr41EC6xHiGmukctPe/wpzlSpGxxDjqFvg1VdclpeUtPPKMpD2KfywG9//vNf7yjFMYQQ8hmLl5SVLPSD9up9GVsKlLd6Oiwwd/Xlx9ZmflBLAyVKW5ngrRppkO8rrHcpOLVW5eZVtAMRxC8VO0Ia7arCfXlF+UeLXV8DMabyCg0DMFbgGHpzdETSYh4wWul7BW6l/w5t4f59eUfe3V6sG0RZjLcgJpiAsTS3xAisIEl07xkph44blyoJBMb4SU5OgbLBSjPAdFi1Zw5n76p46D/07sF0q15Z9O6KjMOqu0BNX7bJZRZNNo9HAExXLxlcSvBMc2luQc3QW/r6BadtWSYeDe1X8nfLvLyh82LitFB/AKNWSwP1anioR8iKNzN0LDC3tFoaSIhoqutaKiJFwgO7Wb7frWrHGE8f/LCGBioyOXbQDSkAyMz/WDIRwFp68JhrfI3WFrwv6xUNsZzP3yMtys0vNbmcKq2vKL/lHOoVoYER0a9XJgQCtFbseHubrNrYU4y006bKguz1BVoaqLDU9GhfbgVdUw7Rqv88ruoAalas2P1DZPrS14MJNJ/efaTK4nr3vHV614H8vF1bC+sGeQOgIhKiOMDoC49VtAMRSfr73Q3v6FSkJMIfwFJ2eE+J3q2w3WlW5W/Nu0IDCZYsdNzlSNjS10MIWEsPuh2LsVTsy6uwdYXIB3emfRn2g4aatzwzmg2dRlnOW3tKai0992TGUnd6z+ptCjMDvKXZyQM/dHzPYcGSpSI/aK8+nltq7tmQNspyi3ybYpFQFAGwNdZ5jawg9Ag90jEp/BeveOvzzYdqdPLNvz3/snAKl3xlMf7lr/cYYPnPeHPN6xMe5cFHAqMrlRZova4iY0UJy1amRQ8wGTsaeXbjZ4UFSghnL47gD75Uz9w1GiwM4QYJxrp8dZ36i9VmmgFVlbY9njekrpIIfR+RoDd2b/1m095PdHWn99SdzhvL4Y5jQ4fVZLUxdgAWW5S2ZXuCtxErgpamCy5Kc9JUYTNCeaPgrkF9VW/pBCokNTupe3uOJDVesaVUJ1ubUjdjXsgEym4z6a+q9TaGxY5MS3a+HyPCtA3ptzZKG05vTq0Uhk2bxBkFX5o1V7UmGkhgbMYve7Xj6A9nYZSwsEFLdwAJiY3se7SNofATpe9cTW/NVzac3pN1unux/7zV2bzSzTIfqw228l0p1c4Y/zcPbM5J8gh/4crtb8XyXc6WmvUfCbwaufGTzGXayNlC7gtgM2uvXDVCsIjfrjUN+UQC43PWGlfsrNDJ3s0LOpY1a6B7MUsYLqIU52kAMjV0mufXwQoSidjyChsAEYZO86htCVI3pN/aKK0v3ZxWK5oVPskf6FbdlavGdjvhL1mX5fv4ne5HTMlK1eQU6c7ve/PGnyNfE7BZ903aa+rWFyTp8U0FpQaXbQVLfx15fp+qLn9Fek3kzCCuH9iatY4ExKcmTBzK8dH3ERWesXcDs/n9cnNt4a5aGcXmcjgUoW1mc9d7byrkjd0b47k+DqATFjuPU6Gw0gBsSUyvWxyLl5S1UrfusKpi3y+u/FEcJuD+mDCtuit1xnY7+M9ZlTZv0OUn4ZJYQVmRwQ5AzUjo/3c3vKNTc1ZlJxh3KMwq6Vr1pzzhFN4YP2A6rA0NxnYGgMWO/N2anqcEOI9Vue9N3Z/Frwm4zzGWW87HxFurvYbIh2T4Dxp25Nq9WfZ38qrNSuk2ZSHFDeSwCdPWam2nGQAgvNicXcuEvnRO8T2HA+Ozf3Mt41it6thbDcoZsyYHkK/NjbW1BohIT/5KWuy9juOCEsdE+F+pMsk3vn6Jx2WHr9ifOmBDD4RGxCMeODMgMid39H9//If/e/HmX7VX/goAQF4URCb+Mu3/Ez09NcHAiLSfixw/dztDd1gNdZfUt7TyvRstzKFtsb1mTEZPMFPpvsxisyD1wxMpLpUPv4i038XDNUaU5EMzS4SQCyos9ah0mkL2fxSVWtNdq+GuFQCARfFnxialJEv6HMj8BfHv3qXgXWlFleIqAAAQtihheWZalFsdO2xl3nv+R6UlKn2NQl/jWDgxIiVtVcosl1IyCUrac4wryy8sq9VdqdI5FrKFsckrfhMv7GfyEW/858WG/qdW3UlCY+Z4mflyeAgvNkcqkpyvUF7Tt9nuM368qRE/e31J8P3iUt93wnT09DEgfhR3Im/SqzPnLo6Pmdwrt/2C0/fuILn58jq9slQPAMCiBAtXb0pmji4bRpACgJq1cnuKIbPIWH5olyB3j9dIlAsyNVRIztcyrCDRa70vCRI64xWqooZm8cSv9ar8kKCk945xZfmFilptZWlXmZr4B0tSlqfHD32cfDL5jYP72dL8ovIGvfKMHgCACpKs3ZAhuJjpsal/VM4hws//UFGnVSocZfquKWYyEoc/UD/6PuFEZeUHzy35vfxMjdZqM9GO1mcUTxQTn/qLuGB/36t/rGDJPI5CbgXOnJjp3mrHvNhtx/xl0iL5JaO60tFAiPgHxcSnrkgOH0pRZ2KsZHpxXh3DjY4XD3jdD+volHjlsROTi6TFFWqzWdszTSbhhkQnpaUmhLjfJQJjtx3hyKQF8kt61RlHdy0qKCJt2aqksBEd+274DxrCk2z+cGpksUxeobplszTTXT3mCCc4ZklySmI41/eAus85zI3fnDe6KK+gVK2vKdd3pSIiY/2aeTd3SX04DjVvzZ4OOPhfVYZWo8HKNJpTRRN9TiRCw/DMv/71r35Wm+9Y7Hb7iy/+eLjHYR5Y/2598ABe+MlPOY99bvF//OPLZ599lvOTsYP9IH0m5+dHtBC2Ur4n3v2WyhiKt2UXamn/qF2FG0ZmdjrkI3vNnp+/q4TwnE92xAy+eGgo/O2K3kEKhL7HOjruA8Do0aOGvSeGbrVaOmjwY3MDOV6nhPPymXazwXQPyJiAiTz/vu+lzF2zyXKPhufZ3CD+2L53bafbzea2DgCKzZ/IoZ6eFz5dtyZ+8rFTaSPZwaQbc9doMN27bx8VIAjiP/an8Miw05Zms40GwubweT4PhjoQ5q7ZcOcekDEBQbwBMoa2msxtNuZ5akQTgJ4iI3e3BKbdbPqCZoBiczjc0Y/yauq0mcxWWyd8O9ft8I5O3zWaTPfudwJQYyZM5A2QUZ02U7PJxjzPHt/vY2L4RuRBQ9tMVittJ2w2jzuc1Pqaw0y72dxmuw+j+YKJg78M7Ey71fqQ+HPHYmAWDVdHx30WyzHixBj2i31t9rimICUvcH768mM61uNABEmpkgqtvPXaxQYQz/RczbSbTXfuMWRMAK+/YrdzS5oh1ABbDlg4o+n2b+CFH1OE5bhN0+BR5GJos9lkY8g4niDQ8xbDdNge/JO84E+R7sT78QVBLgfqSkAnocbz+ivgOjYDwvZyFI8DAW01mNsY+yj2xCBuPze9Tpup2WqzEy4viDtQoLqrJsOwxgTweJ5dvDvp9q+Zew8YAGDoe+3tLwAQR45BVwYyz73A9lKz6rSZmq20Hai+akeumW+nLUazpRMe+TMSoScOoQJ5gkG2rSX+PKH/wBFDMpYnGOtDYJFF+U8MfpLbQzHmWg0jEgd53BxsTUYrALDZjyrtZGyQcOwjCX88PiyKGxQ88m1bxvKEvlxaAEBx+MGcIQyBgVBvxJ/nOZ7tI+LH5k9mf2vX7fCOTg3qxuXH5gc/ljMdkQcNxeZTI9HQw9ccJv68IB8etn1gEf9AfLeHHqvHFaT47mEFCV8i0Eq3tdoAeu4y9K1SqbRY2eBsi8tiC6MTV/x2ae9mYJ5bEkowK3FF+hsijwYfjFUlyy8sqzU5eyuTscExyavS44Nc6+CqIyk7qolkR6HE/P7uohrHODoUT/K7d7IW8uiG07mHi1Vmxy6oybEZ61fGdI+nYddKV+YovgzPKVrGFLwrPe/YjgRGpG/ZkBAEpjP5u39fYehwHJ8fvWzT2/GeczjbrWpZvlThks5AUUKq+7Ad3Qf6eCUp3ndUoW/vGhKJRQlil236nVtXagAAWq/44PjH1cZ2xrGZMG7NpjTPnOza1HCmqFBeoW51NoJmUfyZ8ekZqWJnfprka9+UORoNmkpykkoAgJK8J8+a2Z2BIF4n37XQJRHtWnl+gexSzwBXVFBUSvrypOluz5XuzE/qKNj9YYXBkQPEf3p8ZtaySOwPhBACAACmoSgz5xPDC+Hp29Yl9XQUoA2KI6euMkCCxTNxYm6EEEIIfd+xtm/f3s/qL+/T//rXv374w+cfV3oeia+/fvjMM89QL/xosB9kmpTFagsEzHx94ZRerRzshs/kF/9m54rfWDzFUa2lr+ZnbpZ93tbpxxNFzp7+yktjwGa4qasrr77zUuTcCS7H79kyUCSOmBkqGMuymW/q685W3x4/f/7L3VsyRvmWtbnK2x0sjlA8N0Ik+CnFWJqNOvX5mo6gmPDx3fVpk6r4QgtrzPO3T5dc/9G0iKgZU15krHf+fteg1nb8mFbkFup+JIycO/OVABbddtf2d+PFa9/MWBI2rqsRwb8stf+tvPnVuFHtfy66ZBdGzBW/wmF1WC3W5lq1ZfQznx08ceWfk8WR4cIJFPNFW/sXzVcv3X15yRzX6INZseXtPWdvdwBbOFMcMW3KT56n7xiNNy5Wap59LWYa29EUznmgMfT/Lfwfa0BoRORrU37qR3/R1m5pulL9hfs+aa00a0th3d2v/TiiOXPFrwp+8gPbDdV5DcP+wS39HRgf+R/RLzszXp2/duNHV033Wdzp4pg54dMEHPJl8019/WdXvpwWO5P7HADAP+l2+odjKbrZ8gCAI4qZO/0VgUA4Y+akF7szEH465/WYl53t9lordqzZVaJvhzFBERFzQ6cGvghf3jHoaz+7dIczO/LlnhhRV+YHjLoj/1h1/+XXomeHTeKy6Dbr3Vb9hWtfz1gUNu4Jn8YGfb89fMgAwNN+n38qsMawWbcuXTYYPv8fxdnP/3JTV197obz4w/zCKtPXQInSNq2axX56eqgg9L2Dd0uEEBqmhw+ZZ599puvfP/L7YV+bYUuKoerUam8yAOwJLzkrqx01ebmlJjs78q29OfHOyjZjLj+wMbe6KjdfHLI1ytE2rKMq90CpiaFEaTu3JzvfpnUaFTs35tXV5ElrxJsjuhYaZPuk9TThxebsWt39Qp7Wf7J9W5G29EDu1MJtblNV0erz5oSt0gzHeHKpqgNrd5w3K44VcaPfKVwX4RiQyVqx4+3DqtYKRV2qcJZLqwG7tlwbkZP/Tkyg4zDSrI3y5qo8KSV+69iueEcrr/YrhzN2VliqK1S/jZA4m4cYivdJ62gyeem2ncvEzgZwdH3Bpm2ndbJ9spkfpk0G1wMpLonSDx9LcjZ4tpx/N+NATXvlH8tTIpIcbcUZ7X8eljczZPLS3TuXdY+yaqk+vOnAaTUD4Nrm4laJtMzMEJ5k496sOc73kIxRtn5tob7i47PJogQ2APjPSc2aA4ZC44pisyB2Zc4AY1JYFbn5qrvAnbN698buJh6MqXRf1gc1ymOHhcI97kNG06oz+pi1H2Yt5HRtyzSX7sjKV5tLZdXJu2KxCx9CCIDFk2zNm1BWfOpPlVp9raVriDcWxZ8eEZP466RZHOwhhhBCCCH07LedgKdTh15xIL+8HYAXLQl2LDOV/UHZDtwl63oiFABAeJK3V8X4A33lz+et3Vv+UdUB1JxVm5NdBgb3C0rIWhYzkce26AxdnQvoGlmZGVi8pPWrXbsMUMFvbP5NOAW0Sl7qMTa7/8Jl6T0j3rMjExfwWQCs4IS0iJ4hozmxSXPZAHRLs9X900Scuiamu+JNBb++RAgAwItNW9JTn/eftVQyEYBpMbU6F3XWyBVGxk+UvqUnQgEA1PRl2clBYDefKat1n12ZiFLWJbl0yeYu/O3rwQB2o1bn7CvSUSmvtAIJSlm/zHUeGO68ldmSXt0nJqeeKNizbce7PREKACBBCYuFAIzhlsFzex8w9aflDQyMjc1Y59oJhfDj12QvZEOnVv4nvcdHqDm/zljYU8cgE+PTJDwAprFRN4QEIIS+m1hsYcLKg4XyM5/+/pT0w1OFsj/9SX5q/4YUjFAghBBCCAEAtqTwSX1xzvoaZzThIdNhM5mttB3ALyhldarAUfm3qq8agcWTxPWaJ5maMVdEKSuNuhsMcIhjS2BHxkV4DrozNjZHGtv9P6ZBpaEBgmMlkz22A/95/y7+z1pl81V16xt8l/f5k18Ruh19tD8bwOTH4buPc0H5+wPYmE730AGLJxS6vfB/4cc/IgAMl+c+a/cLbAoAHtCd3emsVXcANS++d/SAP2eOoMho0P3FZA8XdO+ExQmd7tHvmjPpJTbobfe/fABAde2zsRNgeuwSz+YORLhwAb/sE4/oDAkURfYaru+bb4AAMPRXHg0vfGG4UmsB4EfH95q6hRJLorkVpy1XLxnswQKXnBFMm+bRXoIfxCNgZjqGkgCE0HcbGc3hD3JuVIQQQgih7wMMUvjAbjPU2zyW+U9fmpmRGtkz9mSLyQxgf6CRH7Z4dil+aDMwAEzbXSsAz7Eliy/0HN3dk81spgG4k4VeBjP3EwgngrLebLoD0FM5J0CGUxcmXj/tZVnXCTrHkrQ1m2gAuFmae6jWc2PGdM8OcLftHoCgZylFeo3wQZ5z36fZSgNwg7wNfT1RMIEFpt7L7bRFf73R2GIwmywWa9sds6mVHmp0gG4xtwOQScHeuoRMFE4ipy13zS2dIOgJS5Dn/Tz7dDjy0/4QgxQIIYQQQggh5AsMUvhg8tJdq6PHdP3bbpDvOKy8C89PnCPmuQ7o8BXNAIBNe75C28duGMZlS9aPqIGGKaA7GQCgvG9HUX4EgKE7v/36L91JAwBYtcqKPrawM0wfa/reJwMAVK9qPwAA6wcUAXDbI2M6k3+wqELX3r0N8ecEiafbVPXW3jvwAcN0MgBsyst8pADkB5QfAM3Q3wxp3wghhBBCCCGE+oBBCh9QnMlBQc5X+kEZK7V1O6ss5ScV8YeSul+0s35ECIBdlJ63OrJXM4Euz/+Y07Nl51c0DdBvW1/KjwAATdPeVtJ0JwNAUcNqOjEyutLgv3BDbkpwH6l5brAD1vd37kxXPKgHXf1+1pGqdhYlXBgviZg59SUOl8MmLIBL7y4ZYpCCED8CQNNem2LY/5dmAFiEwjk7EEIIIYQQQmhEYZBi0Kg5v/5FSE1eg15WVCNxTsMBrAA+B6D5Hm3ncHsNjuCGFSAIBOUtk+4WI5nZX4iBzeNRYLQYdRYI9uzxwRgMzQAsDp8/nFMZGV3pfEADO5AzUpNYOM/d0A7Bnj0+zIYmu7PLCQAArVbWtAMIUw8dTXbrnTHo9hs9qAk8f7hqbbplhjlBniuNuiYGgMML6CMahRBCCCGEEEJoaHB2jyHgSNLiuSygL30o03fXg3nimTywm5Vntb2qxrTuzGllvZl2DLjACw3jAdhU5TXtHhverdqz8rcrVhdp7QAAJEQcSgHoK8qNnntsr65QdQDw5oj7D4g8Fl3pZOoqlL1bLZhrFGdqDHcHHS0gIaKpfgD6ijPNHmsY7dmLFrvbErqTAWBPmOwxfgSju/6Xvg7MDBTAEMwU+QOYKiu0nR5rGPXZSosduK/NEA6yeQhCCCGEEEIIof5hkGIoSEhi2iwK7FZFYYXFuVAQv1RMgeXMgT2lZpcaMGOqeH/bsYI92/KV7W5b0peO7yrW9/RnYMzleSeVRrNlnMAxZwQVkSLhgd0s35+vdolnMMbTBz+soYGKTI59AhpSAIyOSFrMA0Yrfa/ANZ3QoS3cvy/vyLvbi3WDjlKMjk6K5oDdKHM/d0t1/sEzHrEQ9oTxbACbRlXr2jnEUp1/tMJzuFMAoEZTAGBp0LpHOjyRsKWvhxCwlh48UmXpST1jqdiXV2EDP1FSomiw54QQQgghhBBCqH/Y3WNo2DGpifKrRYb64sJL0TlzKACAsbHZb2szDlSpjv1WoxCJhTz2DxnLratqvY0BSpS6MqF7HtCuLfdWaQvX/uK8SPwqj4J7TbXXdHcZGBuRke7sQgJEkLoh/dZGaX3p5rRa0azwSf5At+quXDW22wl/ybqsaLbXxD12RJi2If3WRmnD6c2plcKwaZM4o+BLs+aq1kQDCYzN+GWvaVl92KfoN6uTdNvkxtLNy7TiWSL+C4ytWauqb+cnL5OcLyj/smdTUUKcsLJId2Zb2s2IWdMnsIG23KpVNTwQhAWROs9WKNxZ0SKZXttQ8GZKBX9cQMzqHUm9+nMAAAAvKWulbt1hVeW+N3V/Fr8m4D7n/DZZ7Mi3Vic8AW1YEEIIIYQQQug7BoMUQzVxadrCss1nbMqikqRZqV1tH/znbTgxTiiVFiv1WqXZMcsHxQtPSl2ZMo/j+mn/eRtOsAV50mLlre4tCX/WG+krU8VjXbYjQUnvHePK8gsVtdrKUsd2/sGSlOXp8cEjNQDECCBBSXuOcWX5hWW1uitVOsdCtjA2ecVv4oX9jg/aJ0qUvn8v94PjhdVG9XmzGgBYbGHi5h0p5OPz7ltOfGP3DsjNK1YZa8qNNQAAfpzIZTszOX9M6RWkgMD47Tvo3MPFKrPZ0G6mdLakoD5iPYGx245wZNIC+SW96ozekaigiLRlq5LCnpDwEEIIIYQQQgh9pzzzr3/9q5/V5jsWu93+4os/fmwJehT+8Y8vn332Wc5Pxg686QhhOswm8z0GRlFcHn9sf80ImLtmk+UeDaO4vCBuP5V5O21pNttoIGwOn8f+9qf06Iudbjeb2zoAKDZ/IocakVEbaKuhuW3gLAKmvdnYYrn/0G/M5MlB/gONaknftdqY57iBPmRmp83UbLIxz7PHB/X/bSL0NOrouA8Ao0eP+rYTghBCTzS8WyKE0DB1dNxnsRwjToxhv9jXZhikQAih7zUsdiOEkC/wbokQQsPkY5ACB85ECCGEEEIIIYTQEwGDFAghhBBCCCGEEHoiYJACIYQQQgghhBBCTwQMUiCEEEIIIYQQQuiJgEEKhBBCCCGEEEIIPREwSIEQQgghhBBCCKEnAgYpEEIIIYQQQggh9ETAIAVCCCGEEEIIIYSeCBikQAghhBBCCCGE0BMBgxQIIYQQQgghhBB6ImCQAiGEEEIIIYQQQk8EDFIghBBCCCGEEELoifCD/lcz33wD/4J//OPLx5OaR8Ru/6fd/s+OjvvfdkIQQuiJ8/XDhwAAHd92OhBC6MmGd0uEEBqmrx8+fPaZZ/z8ftj/ZgMEKbo888wzI5Gkb9UzwGJhsxGEEPL07DPPAOAdEiGEBoB3S4QQGqZnfQssDBCkIM89989//nPsmBdHIknfmrv3/vHss8+OYT/dZ4EQQo/CPds/AADvkAgh1D+8WyKE0DB13UgHhMFghBBCCCGEEEIIPREwSIEQQgghhBBCCKEnAgYpEEIIIYQQQggh9ETAIAVCCCGEEEIIIYSeCBikQAghhBBCCCGE0BMBgxQIIYQQQgghhBB6ImCQAiGEEEIIIYQQQk8EDFIghBBCCCGEEELoiYBBCoQQQgghhBBCCD0RMEiBEEIIIYQQQgihJwIGKRBCCCGEEEIIIfREwCAFQgghhBBCCCGEngg/+LYT8HSg72guq2obTPfu0QwZHTBZGD4/KjTA79tO1uNC68rLrtPU1Ji4V9mP8DCM6YJC3WanQiSSkNF9b3XzsxLNPRgXGhcjoHzcseGzkmv3yEuRiWLuCKXVV2018gsm90UsQo0eM/EVUQjfx+SPkC80ZUoDzQ6NW+zIt5aSzesKGklU5tH1C0bqe30U+0QIIYSebrTuXFnjPYAx0ySLhAM8/dtqFBdMDLD485PEAY8neY8Obbpcpaq72dLWwRC/MQEvTX0tcm7YePJY09Cr/DOCmNsXS9RtbotYhKLGBE4ShgjYj/c8h4K5o7mg0jbcbrnXCWR0wOQpotlR4gm9sulbLEgPleXcnk2HVMxr6bvfS+B/24lBQ4FBioF0GsoO7z5+1kS7LDtXJj8uFSRmbF8Vw33UNyDbbV0rTcYIBN9iTOTeNcXxQkNAcuijDVIQ0qaUHr9Jwoj4SGJfB6IvFB08XsNMSDmR7POO6cby41INJeE//nvrrc8KjysZb2sI+1XJW9npi/iP6xH2t4snpQqbMH2+4yFtuaxUt3UCKKtvZCyYP9iri7Y03bY9pLghL7l+U8PbJ0IIIfSdZNN8UlDYZAcihJDjSf2FHjrVRbl5ZTYAMjcgURzAejTp8f4QH1m2OtnRQ7KLLZ2uCxVFUjIhJm1jRlI/r6NGmGf5ZyQxjYrjUo0VQKIgAAAgAElEQVTXVWSccHHyiuWJwmFkMd1yw3SfRU0UPoL3WrShJO/gSaWBtvcsO1cmP57HnZ2SsTFFzHa59r7FgvQQdeouVJloBi4oNbYEPr42exphkKJfdkvJ1uz3r9HAFsYlSGYJJwSOgrt/a6w7pyhRG0r2ZN5nndga9UivfFvV+5nv32AnHvp0TeijPM4TgTt/sfDkTV1DlbItsY9HuE117hoDLMHixYLHnLjhYItTfhXuvE7s9D1LU52qtuGGYmem5eGJXXHfzg2fG7civUXeSGa/OXsI0YRGWfbGctuMDMWBBJcfwPD2iRBCCH2nMTfLy24mLZ/S5wa0qrzK9ujT4f0hPnLslnN7sncqLQCELZwbFxU6cdwosLXcuqm+UKVrUUrfbrK8937G7O9M3XH83OWJoY44AkPfs7U0abSfG3RleZk1l9MP7kyaNLRCUWftyezdF2Due2e2zx/ZcJVN/X72jpLbDLCoSVGSxaJJAaPhvqWlUausUlsuF25ecXvTkW0LnuKGPH5zl2ckQC0TlhzznbnKvm8wSNEfWnXi5DUauAveO75pvvManzRFODsmYbEse0WB7pxUlhiZEfKI4tzfPwFRktekuss61YU7ScnjvWxgU332OQMgjFn0VDXdGiOMSUx0T/EyQ/Hm7OMa9fGCi1Fb5j7ejh8O1KtJG15NevL3iRBCCH1H2E1lZepfTRH30YrScraslva+6mnSUrx9r9ICfoLEnO1rIrtfxcxdBCnLUy8ef2d3yW3FzlyBbJfkO1KBDAiNS/QI9zA2tXzv/sLL16TZ+8cUbnui+sBayvbvKbnNkPEL1uzOjnNp0huXnLZcLd38nryh6uDOKYIPkp+q0rYbMiEu4724bzsVaBhw4Mz+3PpcRwNMkvxivuethUxKSovjsynG1GDx8kHmC1PTDU2DzmTz+qihaZuNZrqaV9nptpu6Oo2u5QvPTgEMbbPZLDQDAMx9WxfaS88B2tKi0zXcMLTYvHUrYGibzUY72toxNpOhQaNruu11U5fP3DE0aDQNA2zm3NpmarqhabhpsnV6Xe2SADvdotNcVuva+tovO3LRDAJ23dkqk7fVtqoLjQyQsMUxnsHd/jOhN5r2nptu2dVr3R1H7rk2jRsiP0HyyoQJLKBrzn/efTjXC4O2NGnUl2+YPK+gTlvXmbZ1DHCmju9FZ+ozSwY82Ru6ptsWz5O1M7TNZuu4zwDAQ7rryuzZST/7tNNtBl2DRtfUV4qGcq0ihBBCTwlCCAtsVeUXOvrYwFBeomPAj/TTEXSAEmb3Zh2WJq+lhf4f4q57GHLp7ovy4zIDA+xF63e7RCgcyPi5a95ND/MDukb2yY3Bn6APJaWByz+PA2GLU/a/nx5Gga3qxMkaryfTVdTRNBh6lbUAaJvNZrvP2AHgm/tf9FkJ8PF6cNuz6tRJNQ1U6Jp9m+J6dTpmi9N3rZ7LBqah+OML3ouInknwtXjMOMuBd7ydSdeV6VzDfGFquKFpuOklZ1w/YrttaNDoGrweuldRn+lwWUBbmnSahhuGtv7zrdPWotPV3TC0OX+zbjtBjxK2pOjPQ4YBgOe9PixI6JqPPl3juZRuKis8WVx++Y7z6mVRE8QJq1anzR7Xs9GF3Ne3VJG4XR8nd0h35Jc3OX4ehB2asHZ9+nzH/dxWtvX19x3d3Ohz771+DgCIeOvpXYucr91tNxQnT8rO3ui5CVOCBb/KzEx+tefFvK18R8JhTUDy0VNRjXt3F14wObYl48W/Wp2VOsMz+tKmKnxfKu9OPxk/d/k72bP7yB/6puL4cZcEsNghMUmrVrr1M+xOwBGhcufh8gYbAyzB8lMnUr0HZ6nZi8KpmotNSmVLStoEj5UW5bnrDPiJF7l0sfElE3q7kPv6liqYnfOn/Yvdvtyu1FKSXeXrxS6LmRZl4fECxWWL8yAUf35S+lr3DnuD9pLwVQpaaEuLBeCl7lSRuF2nFt3cs7dY08YAcBM++NjZVMemKc6XflTV3XuQBLwqSV2VFjfF80yZ258dzztRpnHmCcWPW7l9Va9OJb6f7Oy4N9ekzQ3oyipNXsq6ckdb1BuFv1haCAABySc+TRf0uU/GcqEo76RC3eJ8EpBxwsUpmasS3HqHDvZaRQghhJ4m3JjEn6qKa2rLlLZFXsbeYurKylvsMCEuYaJCfsFzrU8lTACgDeUnj8rKbnQ/xUmAOGlNlnOzfh/ijj0Mr3TXclZxuRPIjJS3+uoQPV6SHCWrK7dcUOlWvSoc1An2X1Lysfzz+PCT1iYpf1FoOPtn1fIIl2YjnaYLMunJMnVLd7jKjxsW9+bGZQscZS37xb1vbL/QdRp29b43XgcAEKZ/2jOgia/XQy+2qj9ftAFMSsqI89ZmGQDYUb+IK7pYZKq9oGHmR/QXMfO1ePyFukhaeFpl6C6sE7ZwcVrmmjhBz95N8szlhU1T0j99V3Buf+5Hakv3l7goNXttkvt4s3bb5aKjxxUXezJwtCAuLXtNQs8OPYv6ds3x5etKOsRbP80gst2HSnS2ruI0i5okSd+WIZngcaK0riTv6EdVzjSzqJC47K3pLxR37cSlOoYeEQxS9GeigA9ndQ1lssuSrNkDD/BDX87L3FJiYoAEhM6dLQggzL1b1y7W1cjWt9BHTmaEuXdIu197dF3ZxYdTxHGTuNDR9HmNrk0j37IBPjiRHuIHAGRiuCRunOVGlaaFgYDQBa9xnweWIMD5E7Ipd6/Y81mbHSh+6PxQwRhCtzWqL+s+O55tYo4fTRW4/9S+UO7coPjcTzhfMmkMWG6o1U131Ce3bifHjya/1LNVW9nmFblqGxD2FHHEK1zSabmhvnh80zf3I7w14FDnrdiqaGGA4ofOn8p93m67eU3dcFb6u+tN7x3dNN/jFnlbtrlE3eTHD4vgj4Ix/QwCSoklUaMvlplUZw1py93HnWirUjbYgZoRE+X8LgaXCUPENBRmryvS0UACQue+Nn4U2FpqrukuFG6+ocs4uithwtDjFISwAMAzb1v/Z89mlQbGC2e/zCZ+/FFdSy2f7Vyz+5wFgC2YHTopgDxsbqytu6HYl6lp2XV01YyeOyVzU/Z2dmEDDYQrnB86aQzrfvP12rLcTZAkhIG5nKxw7msvjwG66XO17nLx9huGjBN7EyawAH4SulgC9yyacxoLUPz5EVNHsYDdK1DisktD8cbs4xoa/LghkaGT2XD/TuNlja7scOaN29tOrBZ7ftK3axUhhBB62rDn/yzybE15XZmiJbHXmxi6tqzKBkQYJ5nUoPBc52sJ0yBbl1nY0EnYU+ZGhU6g7LYmteqyWrY+mz5yPCOMGvghPuzSne1ztQGAzF7Uz1gAZPb6T1Xrh3SCANBHSWl45Z9HZcLimJAiQ8N19ee0xFGt7dQVZWef1DFA2CGR4pDxFGMzfF6jqZPvXmEjhVvmsgEAuGGLJaM6W2qUOhuLGxYTGsgCGO8sEw4yu9zQ2iuNDLCEixf33ZWDJVj+0fnlA5yZz8Vjk2J9Zt7lDgC2YLZ46gQK6DuNNWpdWW72PfuJ/QnuMSTGVPxOYYmJGxYjmUg9bLtee/m26Vz+JtrvxP6eIdzoC/szt5y1gB939uLISeOAtjRWqXRlh7PvQa8derAzDQWbys7aJsxYEMV9/r5Jc1ljaSrLzWRGyXJcOl/TmuOZm4tvM0BxwyJDJ1Jw76+ay4rd6yBp8gDZgkYMBin6EyBJSVRsLrlTvv7NlrjE1xMl4ZP6mU7opvy4wsQQftyWgxsinXdmxlC0JvOkrvyj8pQwt6g5faFMt2j9qY2LHfODMLcVWzLzLpsURVUp+yUUABWWnBUGtpK219+/wZ79y01uA2d2ak5KP2uzk5CUXQeWOYfqAbouL/PtEsMnRRcTdy5wrfu1KctJ3C75amdok9adzM4uuqn7pFidmOPsGHlHsTdfbWOx568+uLW7+RdtKN6afbysV1uojouH9ita7Oz5qw9uTXBuzJjK9mTvq/psb96sV3e69b5rU2smSDZ9unpBwIBxA7/QRZHssjLTBaVhucA1SmE6pzQAULMXOW8ig8yEoWE00p0yHT06dPnubandYdwvLu7L3l2mlh4qER9JGmqI3mK41QHACghwe+TTdTUt81ef6slVAABLSe7BcxYyQZJ9oCcP6abiHZlSTfF+6eyPshwPJLvho32FDTSZINl0IGuuc1Rwuk6ava74swEbpzHXpDtlOtpPkLxt9yqx8wu889nO7N3nrkkPlUUeSWADf8Gq9QtAnfu5ptz2SsLanAHG3Goq2n1cQxO+ZOu+LGcrIaB1ss2bCusUe/a++vF7MW7fkk/XKkIIIfQUej40IY5fXnRbWXIjZc2r7m05lYoLHUBF/DxuPGnw+JivJUzmgkze0AkTkg6eWOkssqSnlG1dsa+m/KOzSWGJ3AEe4sMv3dmbmkwALH7I1MEUwQZZhPZSUhpe+ecRGjc1ZBw0fGFqvgMwBQCgrezERzoGuHM3uPa2uKNYvyLvctWp08lzlwsAWILErCzo/GyLSncBBInrs9wGzhxcdrm709LMOFI1HD4Xj+lzBYWXO4CakX7UZQBRW9XutB2fXZbJ6+IywlxPzVBeJkz54OM0Z7Md2+XD2esVpsvFiiZJ+qSuLW8rPlJaYLR4g8vY88s10syN8ssyWZ0kK6yfwqJdU6IKXXX8RLLzRWbb2e0r9ly0KT8tS53rHA6PqZPmFt9myJSkA7vTw5x5aVPlZr4nO8cAYGH0scAxKfpFide8vys1lA02XVnB9jeX/jzhzXU78+XnehrRuZiSduqjA+/t2t1zvwAAIkiUTAVgbt1s8tx35JtrF/fMYEpeSlgexwdgbtxoHDhhfqEbTp06su3grp7KOQBQYQkxk1hANzU1e3TNGidZm+HS+IoS/iothg1ga9S2OLdsUsjrOoEdk7nRtYMaJUjOSes9U0OL4uNzNgiIy3F7QhB+XFbmIjbQNX866zFUx/iEjVk+RCgAAEjY4sgAgJYqZYPrWdxWVt0GYEcu6q6oDjYThsJ29g/lbXZq0WqXWzAAjJu7JjshgMXUlSmahngU24VCeYMdSOjc19yf4+yYLPcIBcANefE1BgQpu9zykJqUnLNqBoEvlCUqRxSJUX9adhtgfMLG1XNd5i2jwpZt+tXA06HYzv6f8jY7CUvb3hOhAIDxC9auTJjE59436AY9mhd98SOFCVj85E09EQoAoIQp29LFFNAXihUtHh/x4VpFCCGEnkosQVyckIDlrMJjgExTWZmGAXbUv8+lerfQ9LWEaWn5Gw3AnR3pUmRhceOyjn7w0adHEgd+pzICpTvmwb1OANaYMYPqoznIInTvktLwyj8AAG3leVu2bvf821F4ua8BRHzEYgeMA7DbbP9wLAhIOig/vn3/bvfxIMZL/l1Mgd3S1ORDUWuQ2eXmH7Z7doBx7DHDGvXf9+IxtWjbx6d2bT+6xW2KE3bkzxdzAWyNtzyuKBb/V2vSXDoWsWen/WK+H4Cl8fMvnMv+1tJiB5g0N8q1YBmatuvoCcVH/UYoAABIWGpOsktT64DFK94QAtgNdY3OnLcpi89agAiXb+qJUAAAOzJjY//NNNCIwiDFQMaJlx/6+NMDWamLQyeMZmy3Nefk0p2Zv0hYvrv4muckUWR86PwZnpcvwwABYOgHHnGNySKRR5B5goBPAJgOzy29o/hhUb3mXmYYAIBOzwFdyNTQEPcfLXlZMJEFQNN3HQtMlzUWAHbUv/WaaWJczKJQj1+85bLaACx+XILnCqDC54dSYDc0XHdLAvWKaBBzoAgli/hdI1D0LGtSqprsEBC5YLbrIQeTCUNBa6uvMzAuJi7SM1eIMHL+OIA7jTe+8PpJN/dua+o0zr9r6gtlsn2ZK7YobUAEXTVwV1NEUz1ytalG3QYQFifp1bWEHTV/KgBzQ+sIbN36XGsDmBQj8fi6gcVftHig5o4d6urrDPiFx0k8r2EqMuPUR6dOZQ16FhLmevXnNMAUSVyv6dbYUT+bPRrgtvryHbflPlyrCCGE0NMqYPHPZ/vB/2Pv/qPaOO+E0X832j6+qoelGepGMs1gJ5KdyjhrEdYUFhbWLHTVqFWXHHzwxQe/+JoDNYXGMXZs7PoHa+Of2K4pLlpyzWtOqLnhLRttlVULC4VAoXIxcgzIsSUXNAmRUsIQXsbV6+lOcv8AbCEECBA2Tr6fkz9iaTQzGkbPfOc7z/N9+PbJU412m4x2gNDEl6fpMuhfhEnL5QTA1WJocnqWPKSZcMafC3ggojvhPogA8BUyx3vgOYXQUyOlBcU/AAAw1GduaW2b8p9l2lrv/iJj3dbvP3zQQmhVbPRqrx0VQAQAYZT363nQnA7XJOJ9AIC/Jsv82cx05hQeSyhlTKzSa9S8cF8AABBGvb4urQ73GttLMWEyAOBGH2SL5HK5BKDXdLXb88NEvlZBzzrVq0T2ktor7pateY4GEEZHJh743TRfF4C8mDhlQAwJT05cwChvNDc43MMfRB6pyYrUZIHA3b7W3PpuS2Nbl72pbN+Nrryzp3WTT2GRd1pv9Ngcd1iH0+X66EPWMcD76hlElkmn/LDHi+Xc978nEd9nuf6+3dHH9g+4nH9y9k/MxXDfa83Sr3ivcGxj4sSCorPfBSAJUz43dSPUGoUM2j2m2xAdDhZA5K/XlDi9f6v3h2wCgPDRoAvA48jMqWeURJGcyFRVss1Nlly1mgCAaK9vZkEii09WT13cz4MwHwO2fhGAt9ScLmnw+qbi6G03gMg5OYDZ8qpcc+mPm6e8Sqsz9u7PWOt1aAhIvEv39PdxAOBsKT91e8o1xeUEAG6Q4wEo4PsHOABq1Vof4wzlq5U0WGeafH2A7RcBVivDA1cKaIhleQD5C+t8TLUtVYY/Bw0W1vEhgEfpptnPVYQQQujJFRz7cgLdYjK/Y2K16WPXa6HDaHIChGs14RKA6boNzh5hUvFpqUpzta2xeLP5ckRk1Esb1BGRG8JD/buuByS6kwYRCYB4b9Q9917xfofQPiKlhcQ/AACwJrX4cuLUu3siX2jZbp4fBQAS5HX/7HbZLNbuPodjwOF0uT5ysP7OT/eAv4drMhJEAGCUHwWY/zebe3gsDNp7btrusHbHgOsjp9PJsk4eYOoNPyFBXq9IyLKxqqgPfhcK3bYoU1G7tSp/s1GhjoncELFB/ZJaMcOIfA8UmZLImLj/Gv/n0IBLGD9tpmCUqyTg3QUYLQ5MUswJodfGpqyNTcnkuqpPHKi0dOhL62LOpIwP6xIcxtKTlaaeBw2hhNAyRbSaa7H4mqd0YXhr7bmz1Q19D5OIhGbCo1ROs9U5j9WJ9wQBQLI8yNeFjHjlU8R7owIAcF31pq5p1icsLPEclqgJr9L3tDdd36mOlgLcbmwZAGASkyc/kA/wQZhqlL8vArjZjnqfU6ICgCD82Y/1rFAlqR801cuCgmVha9UJcSr/2lNh9M8CADgtTcbpFhHHjvfYzky5EI4JIkESmOki/Wf+vgjwVWpByfXJeLcAABTlMzyigqQEQBh14/A+hBBCXx4kWpsYVl/bYzLZ0rKVEgCu8d9beZBGvTxtLUN/I0yiyrx4nq54o9Z409XVbOhqNgAAtTp2S3Z+RtRs96QBie4kMvkKgAGnYwBg9pLzD1e8sBB6YfEPAACQFYxyYWUafHOz/S4AiUz+4HGN4Gp5o6TM4NFHg1Dy1ero4N6OPj+H1S7gcMllKyXAuRwfCeA9n4X/5hQeD5qrLpReafcYKU/Ryheiwv9o7pnnUBo66fBFqrq8wnjNZjcb7WZjDQCRRWjSf7RDo1zwkzZeEACAmvIsGQBA8pUgMrXkPVoUmKSYFwkdkbE/68bW85be33fyKRoKAPjms/klTZyECk/WvRwbtf45mVxGEwlA65HEgCcpBgwHXtd38UCrNVuSYsNfCFsVKqMIwIjpx6/M6/5cspwQAPe9Ud7HRYX36ns2trCozi3fHT9Nx6plwQsbtRWamKSq7OlubejMi44jPY2tTgBlcqLSM+ca8IMw1dgd++rUnx7Ryafp3xXkxyVNqS04NM2cq34g5KsAQKLzyndNVzhSStMPl+RHfWbSR/nRmWs6fJVaJllwcn0ySkpg6vkzjh91CwBU0EzzwSOEEEJfOCqNVlFbdruxrjPz9SjirDdddwOVqEme5uo7pwiTUul2ndPtGmF7bvb2dFu6zNc6+toqDtidReWvx8x4AxeQ6E7ChL9AwYDrupkF1bSRD9dtqu/lyeq4lCjZXL+gLwuLfxaTcNN8nQcIfVCoUujSFxyscwHFxKfokjauWxMmk9MUAPSUbu7o82udCzpcsnXhK6DHdeP3N4XoyOkCMMHWaLg+CPKY1Hiff0P/w2PRXlV4tMIukNCoNF1i9IuKVaEymiIAbFXWvJMUAEQWnXkkOlPg7L3Xb97ouWFuNtu7DCU5f+Qvn09d4IiMsfTE0MjQpE5DY9z3hjBD8ahgkmJ6vNVYa3aCLCFNo/TRWFMhNAAI991jZyvf0dDGAYRnXvx5+qRzeoF9Cnxytjd28UBF7a48qZl0RZv3xiTyVTIAu6PXJmi92yy+3+7ysXDf0Kgok08zx/KC0QnJ68q6LR1N1/io5Q2tLiCq5MRJB3ZBB0ECAMJ9wftiNsoNTVoslFlFwMnx92Uy/6p+LgZqVagMwDUqEnnozMHB+JJ3brMQ510nyml3zPIYIZRZJQHngPUOD2EBGvERwjAU2J22XieovEd8CDbbHwEksjDvSdgQQgihLzYmWRtVcdvc/B9tuZGM0WQVQJaii50m0JhXhBnMhMcx4XGatJ18R0nOXqOr/n81ZsXMOCFXYKI7Eh2/kW5sspne7EgtjPYdTrjqy0vLrBCRl5gCEIgQemHxz+IRXcb/r5EDCItLHC/eIVoaGl0gkaUVl+dOnt7F7y+7sMMlUcXHyWpqXfX/q3FbpMb3+cA1VpToOwQmIzI13ucC/ofH9sb6PgHoTYfKCuM9H4KKwv0AZI4IrVAnKdRJKZm5fbV78vVd3bV1N1N3+RgaPgfy1WE0WLmbNxyg9gpRhfctt7H776PyaApnCsO97159o/TUyROnSi9fbbjpcs/+mcePjPYaqquq9FfNvp4D85bf3xQA6JXM+LRPo24BgJ4yHE7ouWFdeJpCmPxLFngeAEIU3sOl+JuWO/P8zTPRkTIArv2da97f1tVotAjeC0cxILINJu83APgeY22DheUX3PTQcZpoKfCd/9Xc2tQ8CGRdYrLXVMoLOAghwTQA9HffmLT/gtXYPLnfWrD622sJjLS+0zrlHHDbG2pNHfa5jiCcjzXRahqgx2SaOpMIZzbUNVudE3u35iUVDeBoNHV5/cREe0OjdZbNjH1Zt6XO5J2G59tLf7h9+/aSNu+jMFuZCPLit1+iAKwmo33KnjebmkcAmLjoxcpzoUdrhO0wVpddKC46eqTodGlFbVOPr0mQAABGzGVZP0h8ZU9VAJrGORD62mpqamtqDF2zF7vluoy1NTW1Nc32gO8iP2BpqNGfP1188NCRohJ9jcnifCIuiLMSOVuroepSSdHRIwePlZyvNLRYH0Xz6IW3mmpqao3dD29JHHUHNn/3B1tPNz22uxSEfKETNPHBwHe+XWc0GFkAhUa7frpl/Y4wBa6n1VBlsEy+WFPRsWoaQBib1sGT90U8MNEdidn6ioLAYNPJkianr+WdhtIrVgEotTYhYCH0guKfxcJ36Y+UWQQIjt2WOpE6Ef8y6gaQKNZ4lSQT7dd7p22lJt8FLPRwhaekRkiBN+tP1rG+ludaLlV2uIGoNNrpJkbxPzweFUZFgNB16726aQ/29gx4f9RPfJ+5oba6ZXLATlbHxa8GAH5o4VeeF2NjaIA+U0Xj5L+I6DL+ohEvJY/M4icp7r3/y8NZW/aevfLvDb9t7fjtr9++cuHg/8g6ePXmvUXf9AIR9cvJMgC+4cLRqskTeQguc8WhE8ZBACbx5fF0Hb0qlAbgrrdMSmk4m0vPmRZyPpOgIALAdV+f1O6EMAwBcJhbbR5tsdBnOKmfchvpN6U2NUIKXPPFkwaPNou3V52u7Jrye1fqUqMpcBpPFHkuDILDdPbABX3RgdL6hf+IgzcmRVHAt5VdaOSAvJTkPQvGQg7Cmg0qCoBrLD9pmth/zlJz6Eidyys7KktOi6WBbyk9WuU5/6bItZQWF10q2XvK4PMCHFhEnbpFRaCv9mhJk2eVaeF27dETpeePFlZ0ju8bidqsXQ3gMpy84BkZ8F36s1empAmmkCWnJdIg9FQeKfM84Qfbyi4ZevpcQQqPaaa+RgVJAPquXZ/5D03FbtMyILI1xaUdHksK9tqTl9p4oOLTNdiR4oknch1v7Nm8efveksoaQ1NDc1uDyVB1qfiHWzdvP2HwMZna+21GOy9wlnrzdGNZF4XQayjT68v0pefqZvsx3Dacu6Av0+vL3umdd4vqg9tuPLE9deueIn1tnamppbWtwVhbdnrP5i055xuny+g8GZztlXu3bt1+qLSi1tTQ3NbSaKqrKj2Yu1mXU2IMfJ5nJkOdhjK9vqr9QXPj6mg0O928o/Hd7odXCt7Rbe2xsoH84yI0V1RsSqIMBGvFBRMHJEI7w9XQ7wjTba46UVpRWvogKgAAEF0NvzZzANRzyofd4Ke5iAcmupMwaa+nh0uBay7O2advuO3xmRF7gz4/p9TMAxWdnZdEz/ELTm9h8U+gCZyj3XA+f/uPa+0CkY1N4DpOIguTAQjWFs/JXUSuS3+2ZupYD7I8SAogWLs8/6ALP1wy3b7sKAr4jtL8H18w9Ax6RP1sW9W+/IONHEhV2/J1PqqeT6zC3/A4jFlFAOxtkx4C8lafNxd+ctaXFl2qPFlqcHisgbeajLcBJMya5xbcz0EalZGhpoBrOZ1/sMbs4AQQBc7eVnWooOxDmsbZPZGy9bEAACAASURBVB6VRR7uIX74q2NHK27eI9+MfuVfEjasevorI3d/96u3fmm5eeXYCercse99c3G3vzAkPLMwq7ewwmqp2LP1KqNY/5yMkgj8h/Zuu4sXAYJVuYWZD+ZeikjRhTdW9hgPpL8fG6MOo4F3vm9u6ebXRCpI57wbSCo6KZZub3LUFOhaGTkd9aPzmRESoGI2pzBtNfbqnG2W+Jh1cgo41tJutsM6dRhnmWfV2VDdvuxrORfMLRdyUus3xrwgJ26222y2QWxu+r2yasukhVdo9u225JxoarmwXVenjl7HhEgF5/vmDisnABWRmZcSgOJDVHTSRrq5ieMFoGKTpsxytJCDQGK2blO1lVldDae3d1QxcqngZF18cGxuqvc3pWLyD6eye2otFbmbjes3vvRcCBGH+juvdbkEkCoydqU/irmIJEza63k9u0paTMWb29+KjlTKg4kw0NveaedEoOPysxImDo5Ese31zK6Cyp764q03346PVIZIRh2Wax0DlHan7rbeMOPc2UDFZB9O7d1Ta6/Zs7Vl/caXlCFkhO1otzjdQKkzX9N6pIkUicmrDRV2c9HWzVdC6TW6I4e0PoeiEGVmYe7tgjKLYe9Wc0RM1Boa+IHedrOdE0mYdv8+79QTetKIrPFQwal2DoDQ6xO1capVsiDCO3uut9a3Wm31pTk29tjZvGjPv3Nk+r600QZOmaLzb/L6QHPUGzoydkdPO1GZ0GU0OQKefBRddYcKznfyQKu0Os23VWErg+CTD3u7Ggx1ZnvdifxRSfmhhCfx5yA46o7ml5o5ACJTJyfHrmNCgoQhR5+lo/Faz23TqV0OZ3Fx1vrATRo0NzJtTrajtpdEb3/4F3dfqygoboHYY/95JB7DTfT4hGs1SkOlTQSgNqbMeDX0N8IMTsxKNVyvstft29odFffSahp4553Otq4BASh1VobHcJLpLuIBiu6IIv1MkbDnWHVPZ21RZ+25FTL5CgpGOIeLE0QACR2xY1LYEIAQemHxz0LdrMzcXD3+/4LAj/Djt8+0OmPv/izPkqUShTYtqu60ueX09q1NcdEKGtzOO+a2rkFZhIrqsnrVgFMnJcqMdS7joa3XGVnIi1vPvBpLBeJwyXWHL7oPFLxh6TGU/tCop2WylcFk1DUxwwilSDt4JEMx092+v+HxisS0hOquesv5nK0tcVHhK4jAsdfbzTapOkJm8aNjow/K1O3x9cUtnaXbt7fFRynkUuD6LOOBpS4zZfXsa5iVXHf4+GDhgWpri/5Ai37iVaki47jOsa+kJQBbQLNb3CTF8K/LK27eIy9sPn9s6/Pj8cELqsjIZ4+/esF8839e7di0J3r5ou7BAklVGefLldXlFYY2G2vtYCc6jBFamaDL2pEe7Xlftjr9zHE4eaG6xd5mtLcBAEhl8dnFr8neSp1/kgKohIKzI3Cissk2YLe5hB42M2I1gFSVe/Y4OV1a02ltMFgBACSUMnn34XTh3Lb5JikA5LrD5cGV5/WGDmub0QoAQJjYXYUFCe8fLZuyMJ1QePkb68rKquutlgZ2/MaeYqLSMvO2JSysauYEEqlJWNFUNwhU1D/FTw1xF3IQJExa8XHhQunVVpZ3sTYg9HrdoYLslywHpnxTKmLnxfLV+p9Vmbq624zdYx8n8khdRna2dsYWPJAYzbFyuupS5dVWe0fj+OlEaEWSLvNH6ZMKdpO16T89T5ddrDR2WxvG/oqUQru3cJeyNUfvY8WTURE7L5Yz+nNVjT0PviyRRaRsfy1706R0jESRUXz4/unSmk6Xw845r9sFrWyaud0VaSfL5VWlFXXmrkZD1/ieq7QZObk61eO6cUEBItgqi8+3cyBVpB0szo15eCbGa1Kz7IaiwtKWPkPRacXlk5qHD2QksvjsI76HuT4aXOs7rdnRydOcfSNtdc2B787Jt5ZXdPIg23SsrDB+4jgp16qiE3XJ1QU5b1gb9NUpcXnhT9o9s2CpPHDJzAEVkXH4cIba4xGTLiOTNZ4uPNVsrSrWh1fsnmZo+qKj1qe+vj718WwboZmt1mjV1ec7BXmibpYfiL8RJlFmnv1p8MWy6raedpOtHQAAJCQsKjVrZ+akCojTX8QDFd1RkZk/v7yhruoXdY0Wx6DLNnY7SqiwKE1aerrW6/ofiBB6YfHPwgg89+B+W0IoWhb2nCo6NlGbHCWfkhCXaw5fFM6eqGyymU0OMwAAkakziva/dC2ny3tgConYWXxIPPszk9XZZ3fyljt5sRGSgBwuokw7U602XamqNXay3ADLjQ2+oGQRCbptGakRs2ej/AyPqejdZw9Jz/7MZO2qHw8CaZXu2Osax7/mzC9JAfSmQxfJldLyuk5LQ934KUpoRVJa/mupgQosqYgdF2sT24zGd7v6XKP3l4U8tyEpNTU+9FpRYNaPZvdXn3/++QxvfzDg+uyzz74e8rX5rFv845Wdr151PrftwoUtz01+y/HW6wf+nZUm7CvP/tvFj8k+Gfr0qaeeenaWooMzE7g+e/+fRu+LsOxr8lUKZvrJIwWuz97vHL0vDVn7goKe9mHdHIkC53LdJ7R8xaRfnzBov+MYGhWDVioVYf5NaOkHgWPZj4ZG4Wtha1bPvlJhhHWwQ/chKEjGhK14DMVkFnQQ3LyT44Gi5cGzf5AfsPf/aRS+GhISysgf1+21m3OwrqE/Q1CILGyG0xBAGGTvfDgEy0JWznS6Tvvp8XPgqyGrVjPU9B8XeNcQB0Ey2QzLjBN5Zx87NArLZttz9IgNcZ8CQAg993beZfjx9tIuN5102HcvAOF2ZU5utU2kU868ucujIq8wwvEioWiKAIA49tBp4p9eeJ4TBCKlqcltqcCxjoGh+yRkJcP42czyxj2aEgtICXELsD7vzYu+O7I66/ZsLbWAlAhuASLzDGd81Jmbx9a7Sjb/2MgpMy9fnjrRj2A5n3Wing/bdvFM2tQSLW7O0ecaFSFIpvDZwHoezPEdk4at8Zwwfuyn5yZBocxMLeT4hkgIw/jTHgIAAFuVk1NxWwhLOVOep/bRKAr2qtz8Crug3HH58kSBt0k7PGi/4xgSQtZFrJ58afP3CAv8ANv/p4dXK0dVztZKuzyt/K1sxYNFOP7hKcRznOBuPbmttEMS9fqV3TEEpjv1EJpq/q1lYPgfYU5cxJcFhTCKGSKWGS7igYvuBH7A5RzhQUrLQ2eOFgITQi8s/nlURN5pt/UPCctCwtYoZNTMd0MC73RxQHsFnwG64xB5J+vi3UCCaXnofA6YX+Ex77LZHJ+4SdA3leFMgGJo3uVgnUP3l80aEgeM0HTwe8UtEHXo7eNJgbrF+/IZa0jHzNCcLmZPCkd7mxPIuqR/fm7KW2GbT725eRE3HXiEXq2i/epB5P+ScyEhdKiPWYDICkX4ioB3mSY0o6D9njGTBDPK9fOeXzMAFnQQpJQ81N+2kgpVhD/2Ko9SOmwt7U8dB7KCCV8x/3lP/TwHCCXzN18joeSKKXN8oCeZo97U5QYSmf6jacYpkLWp2+IMB5u55iZLbuTEDLqipSxrTx2nyn3zYpoMQLh2bvuRBl6WdvHNXNXkz4v2itycKpaKP/zmsYkxTfxtQ1lZdX33RGksCR2emJq7MzV8ytzJPtExupibtUarwWjXZfloNtgGo0UAWqvb0F7jo9TivLd+XxAAYJnPCXeJeteVt3ZNfZ2z1JTqr7TaH1SqoxSbtu3MSVN7HO2xgzkSdehq9n39kbL68ToLJDQ290hhigIcxtKjb5hs49O8kbDE7MO7dd7zVXGWmkv6K80PNkTk6zUZuZnatbP9trsNxtsCBG/KyvSVoQAAokhJVV85Yba1mp3pjNxzh9/MHL1UXNbMCgAk8UjjwdixT/h/hJ2tlef1tR0D4wuS0NisnxRETz2KpqO6CxZKc9y0NwrEtpNbjrSMfUI0n9qyGQBAlf1WWSo2TehJMJdYdMEX8cBFd4QKZZR+hU+BCaEXFv88KhJKvlbtb8tDKLmPG/sA3XFIKPnqBd1K+BUeUzKlWqZcyGZ8rTNMJVuU0mYi19PqWJmg9g5u7LY7IkAwHbJkk19fIIuYpBi+9f4HIjy77ltPA4B474ObN3s/5pf9zTPMt158/unF2yxCCKFHgLveaQcg0VOK2nqg4g+/3Xp4xtVIN2rj6Aajq6XZmquanKWwN7YMAARvfDlqIkNhLs05ZHAIQDHq+HWyZSJ3u9PcU6//4U3bsYuF8f4MlpZueDnZbKxmG4yWba+qvcIMwWIw9gEwmpc3cO013h9dyNZXKRiot/YYqzs0u6P9yacMmA7uKmkZBLJCEa9eFyIddb5/4/rtprI91jt7zx7ymutIFLr0hcZWiEjQrJKO3um81jPQdr7wLKTeu6K3LHsxVssE3R/o7ehkHY2lBZKQ6v2xD6NdV1PRruIGFwCtiFYr5eR+f++1rm7DqXyL4/jF3MiZ8hQ2s8UJQMckztBTnUo+3pg85VVxtOVCYUs7L1+rXvMNAqvHzyD/j7DTeCCnxMwBoddGxbwgI25Xt7mtrPAvozEzl2KTRSRrgtyO9kYrJ5FFJKpXSgBCmaAZP4MQQujLhGs4mlPUyiuvFx7Pi304x+qguey8wSkCHRP7xI3NfBItYpLC+eHHAIRZ+cyw+c2Tl95+75OJ0EGy/PlNW1/Lfvl57CeDEEJPKNFmYwEkTPi6BfbbJBHJcXKjwdna2JOt8rzw2xpbHSLQcZqXxi4WI23nThscIh3/6tlDOmY8bBBY44mCU81NJ0u/vb5okx+VJ8karSa8Vt/TbOrYoZ5c7IbveKfRCSRcq1kjqfb+3MK2LtekpxgO1A2Y9m53aFM2p2g2KmfqmuqqO1XaMgjyuN1nDmrCJjbmMBTnl7Y1XCgJX3cmxfOxlWgxWmIPVRxJGnuRt5blF9T0NZ2/REW/Wn5aN/5EkWsvyTlkcjabmnfGaoMnNlRytsFFwjQFZ17dNBGK8baao/l6S81pffSV3RHTVxjt73MBkLXr1835kZJobelVZ5UdzvAcPuz/ER4wnLxk5iR0/KtnD2knluTtNYcKyowzTtkhUaTs3g3upoOt1hZQpOzdjYUzEUIITUZHfz9R2VlrMx7Z2s6Ev6hYKYXRQXv3TZYTgIRq9mVGYUeKR2ARpyAdHh4GAP7mz3cdf+u9e09vTPrBtq2bX0l44WnJvbsN+r0H37r7RE+5hhBCX2ZubsgNIAkJWfiUFCpNEgPgam246fGiaK1vdQHIkjXj/R0chjcbOJBr9z+8gwUAwozN7sa3v13v8mtrRKZJiSQw0vaOV4FMrvWdVh6k6pRkH1VgF7p1KmrX+eMZaho4q/GNI9tf+YFu+56iS7UN3T4mHxUstTXdAqzQ7Nr/IEMBACRMV7AvmQa3pabOq7oaic4sSHqQtqBUW7TrAAAYTZb2YZ9nOiZVuxpAcDgezE7fXVvTKYAi/fjuTQ8fFgGlTNufG0lgsLGudYZ7fm7oUwGAhNDzyFKR6Oz9GZMLnPl/hG2G2i430In5+7QeS1KKtP2Z00/aghBCCPmFiswuLz+SkaCgeLarucloamrpZPlgRXzq7vLy3dFP4kxcT6DF60khCAIACO81vEvCXi4qyt749fE3tn3YcOpA6e/ef+vcW5FlW6fWq0AIIbTkiQAigOQrxPtZNNdQcsI4MPm1UM2+3ZumHXwrUSQnMlWVbHOTJVc9MQTD2tjiAmASk9eO/dvVYbaDhNHqvMdoALUxXk01NNp7bgowzSQzXh+I/34i3W7qMJoc2vQHw1kdJkOHAHTy9+N9DMcIxNZXRGWde1Pb2WhsaGoxWxx9loY+S0OtnlJs2padkxb5MOq502F2AoQl6qbcclPR2kS5qdZpbrXtVCkfHPkp/Vmo4OUEQJAz8kl/HYoOAgCe//P4v23tZidAhFYzZSplOiF+3alOS/eNXkiOmub7CCACAPFZZ2MWEiZinVeU5/8RZjssLgA64Z9jvbMjKxKT1PqOdnwAghBCaEEIE5t1ODZLFDiXa1QgQcE0vXSrsH4xLe4UpAAA5IVthQ8zFABAvpn0WvZ71uPv3m1oeG/Lo5jdAyGEUIBJg4gEQLw36gaYdOHmne9burwmQftUNfONY1iiJrxK39Pe1JOnjiAAAF2NrU4AZWLi+K246HCwACJ/vabE6X3VuD9kEwCEjwZdAH4VSyORuuRQU43dZLSmj1frFK1Gkx0ksmSdr26cAds6kUdqsiI1WSBwt681t77b0tjWZW8q23ejK+/sxLgMvp/lAMgala+1rV63htQ6B9l+Nygf3qP7zhT4eG38YML4hvo4AHC2lJ+6vcx7SZcTALhBjgeYpqcERb4KAPwoL/jc1IyI9yf8P8Kis98FIAlT+njGQa1RyKCdnePOIIQQQr5ICB3KYM+Jx2LxkhRkuRQAgLyY9M/f9H5veWRC1N+8++vhW3Yn/O2UdxFCCC11Elq+AmDA6RgAmNT1gEkpfjNpIichWMpzStp4yWw3saGJSS9W9ljMDRYhIoqAYGlp54CokhMnbtTFe6MCAHBd9aauadYh+P8EXaJI0Spq9PZ6gzlLFUUABPPb9QMAazVala/lA7t1AABCr41NWRubksl1VZ84UGnp0JfWxZxJWQEAgvBnAYAO8jlTH/lKkBSAF0YD0F1AGP2zAABOS5NxukXEGb4WLZdREymVhczwPbYhv4+weE8QACTLg3zlToj0cc0OjRBCCKGAWcSeFCHf+AbAh8u//szyqe9J6KcpgHsC71687SOEEFo0EkX4CxQMuDrM9lzVpNnLqBWyB3eKvOXeWN2CkFlWRydsUpdZzM1Nll1RUWBpah4Eok5MflBnQbKcEABRnVu+O36augPLgudwqyxP1kVXlXS0/kfLzqikYL7lnTYOSLRW43sys0Bv3WPNdETG/qwbW89ben/fyadoKABCvkqm7aEg/mVUAJCQoAB0OyXkqwBAovPKd01XBUxKz/AEaa1KSUwWx3Uzl66bdjGXua6ZFah1yVrVTA+j/D/CY0u6743yXtkxAACen7FwJkIIIYSeBIuYpHhW+dxy+PDeRx8Mw4veU47+nw/ZYQCgaJyLFCGEnkjkpfiNVGOTw/hWR2rhNJNQcs0tvQKAUjX7FCB0QmK03txibuxwq0mLmfOa3FQiXyUD6BsaFWXyWedj9wed+C9x+o56S129Kymmta5TgOBNLydMcx+9wK3zVmOt2QmyhDSN0scdOBVCA4Bw3z3WVYBaxdBgdt25zULclLnr7b13BAAZIw9AhUhqVagMwDUqEnnofDIsdMymly5ZOm4arlo1uSrfaQ6bQX++hqXiCrW++6hM8P8Ijy1pd/TaBG2k10b5frt/1VMRQgghtIQt4uweRP33G/8GhN6G/7B5dxd11Rv/4Ab45osbMEmBEEJPJipmc8pqAK7p5Okmp+hjAWf9xYpOAYhKm+hHqQgqNimKgpFrLc1tDe0cUBtfjvPMbDDRUQyIbIPJMmUAAt9jrG2wsLyvfZgeidYmykHoMRqMRlOPAPLEH8RPm0pZ2NbJaK+huqpKf9Xs6zk/b/n9TQGAXjkx7nXNRjUN4Gg0dXl3NhQ6TI1OEeSRGwMySfuaaDUN0GMy2absPGc21DVbnTP3S6ATMzQyENmaU/qOER/vC7erzxlYADrh5SlFLr35f4SZ6EgZANf+zjXvvXM1Gqd+enrC3E4YhBBCCD0ii5ikAGn0//3954j4x6snSn79x3sTrwqu5tKfVL0vwPKN//Lys09Q1Uye7TBWl5UUHzx0pOhEaUVNU9eAr2BoxNpQU1tjtHI+3psnwd5UU1NbZ374gMjZXltTU9uC1cEQQo+RRLGtIF1JgGstztmjn9TsudmOqgM/Pt3GAVGm5Wv96n1AopPiaOBb9BdbRoCK0Xj1zlDqUqMpcBpPFBlYj8ZXcJjOHrigLzpQWj/XZne9TqsAYGtP1bAgUcz8qH9BWyfql5NlAHzDhaNVnZOWE1zmikMnjIMATOLL6onFI1O3rCfgMpwsaXI+3JjgNBWfN3EgVaelqiEQiDp1i4pAX+3RSRsC4Xbt0ROl548WVnTOnKUg4Zm70xgCrOFg7pGqZvbh0iLXYyzJKajscQOdnJ/lx6Ty/h9hpTY1Qgpc88WTnkvy9qrTlV3+5CjI8iApgGDtmuXbIbQ4RM7Waqi6VFJ09MjBYyXnKw0tVu5LNSeNo+7A5u/+YOvpplnbbMFa/eNXvqvJ0Xf5SoMihL7AFnd2j2c3F+y0Hbhg7riQd71G+cLzNBn+4Jb1o3sA5Nmk/F1JT0o/Cq6r+uK56jbHpIdahio9CUvM3JeXGu45LJazXH2j0iZLfUmjogOUguF7TWV6C6VhUqLGe+Teaagsa4ZoWhfP4HQ4CKHHhqgyzxYJB47V9lhqT+XWnqdlYTJ6mcD1sy5eAACi1BWezVT42U6RSE2CzFTn4gFobdKUqShXaPbttuScaGq5sF1Xp45ex4RIBef75g4rJwAVkZmXsmKuu89oteorFywCAHlRo10947IL2joJzyzM6i2ssFoq9my9yijWPyejJAL/ob3b7uJFgGBVbmGmR+cIJu31vJ5dJS2NxVt7346OVMrJxLYkdPyru1MCMuAFACQTGzIVb25/KzpSKQ8mwkBve6edE4GOy89KmK0DBKXOPVsovF5c19dWcbTtSolMHkoHCVz/wPgJII/LPrM71q/S6P4f4VDdvuxrORfMLRdyUus3xrwgJ26222y2QWxu+r2yasts31qdlCgz1rmMh7ZeZ2QhL2498+qsHT0QCgxne+X50toO16SkRF1VKbVWk1uQp/W3sXxC8C5bH3efkoWv9mwDXB2NZqcboPHd7rxNEzVoeEc3OyqhVqkYzx+jo72xixOAa2yxZUdEPspdRwg9Zos8Bankm/984IL87f/3yr//3mq7OdYTgHz9hU2bt2e9/IKPgppLkOhqOFFQ1OgCILQqVpugXrUiCDjHndvmlmaro1H/Y5vr2Pm8aJydBiH0pURHZf/88sa6ql/UNVscnMvGuQAAJES+PjElPT0lSjaHoFui0ibI6mpcIIubmqMAADqh8PI31pWVVddbLQ3s+L0oxUSlZeZtS5hXVYVEXXylpWGEin45cdZWfEFbl6oyzpcrq8srDG021trBWsdfJ7QyQZe1Iz3aawWhmmNlsqpL+qut1hbj+MKUIjYrOz8tMqDXG0ZzrJyuulR5tdXe0Wif2ClFki7zR+lR/iUXYneVX/527eUaY1uXy+W4PX6pp9du1KZu35Y4h1S6/0dYrjtcHlx5Xm/osLaNHR7CxO4qLEh4/2jZ7NshETuLD4lnf2ayOvvsTt5yJy824gnq14meVIKj7mh+qZkDIDJ1cnLsOiYkSBhy9Fk6Gq/13Dad2uVwFhdnrf8CZcx6qwv2mbjIPMMZz9q6Mm1OtqO2l0Rvj35QW8d9raKguAVij/3nkXiPH6MyJTvL9R/9KzRpgek9hhB6YvzV559/PsPbHwy4Pvvss6+HfG3BGxLuffQn1/8WyN8888zK5Y84UfzJ0KdPPfXUs/MqDOaoztn+hl2QKlL2H9kVN2kNwkBb2U+K6/oEKmZ39XHNePvbV709q9ImS718JVsZoKCHM+zRXbBQmuOmvVFjr7Qc/e7BZoje//bp5C9W0h0h9MgNcZ8CQAgdgHaeH3A5R3ggVEgoQwegsuP0WxphHezQfQgKkjFhKx51M7iwrQtcn73/T6P3RVj2NfkqBUPPvAI35+hzDN1fFvJNxeJ+UzfnYF1Df4agEFnYbDs1HYFjHYM8SKgQGUMv4FbL7yMscCz70dAofC1szeq577PAO10c0Iz8C3RXiBbVQlpLwaLfvqfWIVIRGYcPZ6gndbZ1s8bThaeaXSDTnK7YPU0d4ieQuUTnI0nhi7vp4A98JCkQQl88Yw3pmBma00XuSfEQWb7ym8+vfFRbC5RBU1m1XQA6aW/xrjjvBpaExu761+z+rNKu9uqr3Zrc9T5WIHCsY2DoviRk5eoZQ3be5WC5UZEEhTJh8wwOJ4i8s48dcsMymlGGTrnQiQI/wguEoikCAMIge8c1BES+SiGjZrgquDlHn2tIJHJGIQ8GABBGOF6cWMtk41+ZhKxkFvcuBSG0xBAqlFEGaiTCzFsKZpTr/SjGuRS3TujVKnrmoSWepHSYivY9MWpgSemwtQvdEKEZZSD6efh9hAnNKOj5/ykoOfOFuR1ESxxbozc4RAhLOXw8U+192kkZ7f4j3If5FXZThSE1On3KOT0W2o3CsulyiDzPCUAFU0QyntkchZCVk3KgAs+y/UPCsm/4CA4nBXW8y8Y674tBIRMh37TcnKPPNSqSEIaRB0/eqbFoc2RUAID7/CjHAQCR0pR0fF84XnjwT57jBPeoIAJI/jI6yHEE4EGAObYeCUUH+/jSEzF2UAij8JFqnF/EixBaGh5ZkuKJ5Kg3dLiBRKb/aLp56UI1aQnVXSZXS6s1d/3komu8teZ0cUX7xLhDQkek7D68I8qrUAXXbaioqK7vflgziVJs2pafnzaP/n6iq6OqtKzO7JioBUZC1SmZeVmevW3Z2vysStva7Lf+VdFwuuSKeWL3KCYpo+C1VJX3VnlrXenFK8328f2TUOHagkPZy2uy9tSNRB365fEkjw/wtw1lZR7fRUKHJ6bm7pxcswMhhBBC6Eul22C8LUDwpqypGYoxRJGSqr5ywmxrNTvTGfmD1wVXS1VphcEjtFuhSk7Pz9UpPNfTUrL5YDPRHn/zZfZsUWXbeB1citHmHXk9meG7a0+erW6ZqGxLrdW8VpiX9CA2FC1l40HdfrnhRFGV2TkR8oVF6XJfzYyeWnCHs9Rc0l9ptk/MuUPk6zUZuZnatRM7ZSlN32Mar4vZXbn1lUoAkKeVv5WtAADOdPRhB2Gx7eSWIy1jWxTNp7ZsBgBQZb9VliqHiah1KYL4HAAAIABJREFUSvdk3mooK6uuf1BwdGxX8zInjZuba8SLEFpKMEkxA+662Q5AopNmGKtMove+1bp36uvOumOFxl4qIkGzKhiGbOYOK9dVczQfzl7OfjibPNdYnHOiySkCxajj1YoQwjt7zR3WprICVii7mDGn+kkiW7cv/3wnD4QOj9mwhl425LB0dFtqjuX3DJz9qde6BLbmJ5V1rCwiUbOKuu+8ea2jj224VMhLy09rPRp43lKWf6CmTwBKFhGnXkXB0B8tHYbiPZC6Zsr2eXNpziGDQwCKUcevky0Tudud5p56/Q9v2o5dLIyfc0E7hBBCCKEvApvZ4gSgYxJnGMpBJR9vTJ78kmCv2VdQZuFBKguPU6+hYXSgt8NiNV7I7+47XP5qlNfKhtrOHqi/EaTelBK6zHmztaOPNZ4+QtyJ/frKOyvUSVpmGW+73m513jYVFVLyy9nhk0PDfuPRc2/0EkWUdp2MuF3dnWZbe/Vem+PQxSNJnjf/rqaiXcUNLgBaEa1Wysn9/t5rXd2GU/kWx/GLuZEUAMA31MkaGHJZGiwuoJj4mHVBEqDX+vzysohkTZDb0d5o5SSyiET1SglAKBM0/cHk2kvyj5ocAlCro+LXyYLEoTuWaz3t1Xt7rbvOn0nx6qfmZ8SLEFpiMEkxPdFmYwEkTPi6uSdbB9rqpak/fTM7Yjy9IdhqDuTrLQ7DWy3pR8Z7H7gtFfomp0jC04+f2fEgs853leb/uM5+taotpWiT/xu2VReXdfJkbeqx4uwHVTx5i37PgdqequIrUZez1nosbTcZVek/fzNzoo8D13GhYK+B7agx2DQPctVCl76kpk8ga1PPFD/4IsC1luQfq24QADyvbSNt504bHCId/+rZQ7qJ5LzAGk8UnGpuOln67fVFm7C0KEIIIYS+fIT+PhcAWbt+3ZwG9NqqisssPGE0h07tjp+4oeat1QcKK7sMJ06uf/NYomecyHfUsylFl3fFjAVcmS0n8g/Ws3UXKuWJR6r3x4735HWZDuaWtAyY6jozw2M8dkewVOnp6LyLx1ImHmu57XVHC8+b285dML10cqLyGrjqSs42uEiYpuDMq5vk44vytpqj+XpLzWl99JXdEVIAZlPu3k1gLrluMXEv6F7bP31NCokiZfducDcdbLW2gCJl7+5ZalJwTedOmxwCFZF99njaRHcS0dVSUlBkspQVV64vz5xUEs6viBchtOQ89bh3YAkT7g25ASQhIfO4vZYwaa8/vLEHIMrUTG0ogNva8/7Ea1L165cv//Tw2eM7PPv+URG6RKUEeJutX/R7c+62q3V2QarOPZLtOc8Ipc7el64AkTUazJNmu5Iw23ZleozCoKMzt8ZLAVy91wcnXuMaa+pdQFRZhZ5fBOi4vH0679yzw/BmAwdy7f6HGQoAIIx2d34SDXz72/Uuv78LQgghhNAXBzf0qQBAQuZUTpZvu2JgQcKkFT7MUAAApUo/nB1FAd9SY3BM/gSdnJ0b8yBio+NTE8MkABJVyo7Yh2ONZZq0OBqA7+/zjsyouJxDKR4db6WKlP058cHAd9Ya+yZe7K6t6RRAkX5894MMBQBQyrT9uZEEBhvrWnlYTA7Dmy0jQMXlH07zGPAikcW/WpjCgGA3XPXaAX8iXoTQ0oNJiukJ90EEgK+QeeRZafVLXv3NJIo1YQSAH+I90gUUE5Gg8s6BCAIAgJsXwF/CTXPHCFBRuqk918Li4pQS4HqtDs+UB60O99o9igmTAQA3OvJwndcFIC8mJnvXbyLhyYlhk46Jq8NsBwmj1U2ZM5DaGK+mQLT33PT/2yCEEEIIfWEIIAIAIXPpRyHcfPc6D7BWo13r/Rad8P3oYIA+c8fApNfXqib31AimQwBAKgubPOQ2iKYBQHB7BWZUdFKsdxIlOPblKApEtqNzPKNhazc7ASK0mjDv2JhOiF8HIHTf6PX3G86Hq8PMAtAJL8dOqWavSklWAPAdHb2TvpgfES9CaAnC4R7TkwYRCYB4b9Q9eWiDPwjxMZpurEGf0j+C77Ncf9/u6GP7B1zOPzn7+1xjhYju+721oT4HDwDvG06eNi/zek9wDIkAg85PAJQz7J6ELJMAAAgTuzc04BIA5Kt9VWpnlKsk8DB/LzocLIDIX68pcXpftO4P2QQA4aNBF8BjK8WPEEIIIfSYUOSrAMCP8oL/AeUQy/IA8hfWyae+J1WGPwcNFtbxIcDDCZUIzCkL4kUiW/Pc1I+TtWsZqLd+xDoBZAB8fx8HAM6W8lO3veNNcDkBgBvkeIDFqkkpOhwDAJKwdS/4+KbytetosHMfskMQ9fCg+RHxIoSWIExSTE8ik68AGHA6BgAWZ34K3lp77mx1Q9/DnmmEZsKjVE6z1Tmn9bh5AACXpcE0zRKiMNeeDLwgAAAl9XWhkXwliAA8WKN4b1QAAK6r3tQ1zdrmvHmEEEIIoS8CWi6jAPh+lgPwt1gj7xYAgKJ83u9TQVICIIy655D1mE0Q5WvaeCINIgDCeBgnjP5ZAACnpck43WrmHnDOwVjAKVke5POoBFFBEuDm0hMZIbRkYZJiehIm/AUKBlzXzSyopu0FwHWb6nt5sjouJWqOVYIHDAde13fxQKs1W5Jiw18IWxUqowjAiOnHr8wtSUERAgB0cuHFDNU0FysSMsdBK2PpiaGRIR89INz3hjyvAJLlhACI6tzy3fG+rnAAsCwYSygjhBBC6MtorUpJTBbHdTOXPn0JSZe5rpkVqHXJWhUNQEkJAPC8zxIP/KhbAKCCFtJ1wtsozwNM2blRflSY2BkAQr4KACQ6r3xX1DSbltKLWCh9LOB03xvlfT0+/DM/KgJIqQAeFITQ44JJihmQ6PiNdGOTzfRmR2rhNLNGuerLS8usEJGXmDLHtTvbG7t4oKJ2Vz6smQwA8+l1EMIwFNh5HkJCZYHqYidfHUaDlbt5wwHqsMlvCe9bbnvm7iXyVTKAvqFRUSYP9V4PQgghhNCXGR2z6aVLlo6bhqtWTe40j5NsBv35GpaKK9RqVTAR2jltvU5QeY/4EGy2PwJIZGFhvlY0PyLb80cBGK99E+7cZgFgZejYLlCrQmUArlGRyEMfx8MniXxNKDTcdvS+L2inZEmct20cAPVNJuQx7BlCKMCwcOZMSMzWVxQEBptOljQ5fQ1dcxpKr1gFoNTahDknjgWeB4AQhXfRB/6m5c4ch8mRF7/9EgVCp8nHJBpsW52xzTY4975vL8bG0AB9popGbtLrosv4C6+XmOgoBkS2wWSZshm+x1jbYGF5HPiHEEIIoS8nOjFDIwORrTml7/BVr1G4XX3OMF4Scuxp01hoB1aT0e69MNdsah4BYOKiA/lkSLj+a6/oDoBrfMfMg4SJjhxPSayJVtMAPSaTbUpcx5kNdc1W59SeH/6XWJu9TgTzUhQDwDW/0+a9HdFurLcCUNHRc5vnFSG0NGGSYkYSJu319HApcM3FOfv0Dbc9Wu8Re4M+P6fUzAMVnZ2XNPfObSEMQwAc5lab++GLQp/hpH5Kyzur4Ng0DQOCpeyIvsPzCjNiqSguPl9y5EB175yzFNKojAw1BVzL6fyDNWYHJ4AocPa2qkMFZR/S9OTBI0pdajQFTuOJIgPrsSHBYTp74IK+6EBpvfd1DyGEEELoS4KEZ+5OYwiwhoO5R6qa2YeRnsj1GEtyCip73EAn52c96CBAxW7TMiCyNcWlnqGdYK89eamNByo+XRPAjhQAwJv1J2vtD6M4t73mhL6DByoyVTsxQQZRp25REeirPVrS5PQM+G7XHj1Rev5oYUWnRwz7NSpIAtB37fqsQSBZHiQFEKxdnbOEwErd1vhg4FvLi+o8dlXkOkqLa/qArNZtiVusqp0IoUcJh3vMgijSzxQJe45V93TWFnXWnlshk6+gYIRzuDhBBJDQETuOHJo686cfqJjNKUxbjb06Z5slPmadnAKOtbSb7bBOHcZZHLOvYNJuhu8ozH2/oKy7du+WxvDIDWtkQTDCXjdbHDyQUM2uzCmTg/pBrjt8fLDwQLW1RX+gRT/xqlSRcVzn2FfS4rnoCs2+3ZacE00tF7br6tTR65gQqeB839xh5QSgIjLzUlZMXT1CCCGE0JcDpc49Wyi8XlzX11ZxtO1KiUweSgcJXP+AixcAgMjjss/s9pxZkygzC3NvF5RZDHu3miNiotbQwA/0tpvtnEjCtPv3JQa0+INEkZIWUn8pP7VxY8w6OXGz3WaLjRNgRexrr3qMSpYwaa/n9ewqaTEVb25/KzpSKQ8mwkBve6edE4GOy89K8MgRKBKTVxsq7OairZuvhNJrdNMHzBJ1UqLMWOcyHtp6nZGFvLj1zKtT5kMdQ296bbel/5ipozQ/tV4ds46hhKE7lrauAQGC1bt+kq6cYwk2hNDShEmK2VGRmT+/vKGu6hd1jRbHoMs2CAAAhAqL0qSlp2tV803ZSlW5Z4+T06U1ndYGgxUAQEIpk3cfThfObZtrkgKAKNLOlsurSisM5p72pp7xF+lwTXputi58nrOTUBE7LtYmthmN73b1uUbvLwt5bkNSamp86LWiKYvSCYWXv7GurKy63mppYC3jn2ei0jLztiVg1UyEEEIIfbmtiN1VfvnbtZdrjG1dLpfj9tgYXUKv3ahN3b4t0bsgBBBF2slyeVVpRZ25q9HQNb60SpuRk6ubd/Q5HSLX7D9DnSiqbDPennglKn3Xq5nRXkEcozlWTlddqrzaau9oHB+LQmhFki7zR+lRkxInEkVG8eH7p0trOl0OO+e8bhe0sunqu0fsLD4knv2Zyersszt5y5282Ihp0g103O7y84qysup6q9l42wwAIKHCYlJz86bsKkLoifVXn3/++QxvfzDg+uyzz74e8rVHtkOL4ZOhT5966qlnA1DjR+AHXM4RHqS0fGwmjkAQBu13HEOjYtBKpSKMXvBKRZ5j2Y8+BQiiV62WUYuRURaaDn6vuAWiDr19PGnKdB7CCOtgh+5DUJCMCVuBAwMRWuqGuE8BIIR+stt5hBBabAFsLQWOdQzyIKFCZAw9a75B5J197NAoLAuRhTELjxS9Vm45v2VPHafKffNimgzAzTnsjiEIkjOMPHjGTbk5B+sa+jMEzbZXAu8a4iBI5kfkLPBOFwc0I/cjByNwrGNg6L4kKIRR+LM8QmgpGGtIx8zQnGJPijkhVCijDPQEFmSFInyFImCrk1D0alVgugCKXE+rY2WC2nttdtsdESCYDvF1sSHBjHL9tDO2IoQQQgh9yRGa8S6cPgMJJVdMmeNjkUjpsPW0X9UupHTYWr+WJJTM3yQCoeSMv/kGQjNKGgNOhL6YsHAmmg7XcDTnh0cPFJS0edZGgkFz2XmDUwQ6JjYcB/4hhBBCCCGEEAoc7EmBpkNHfz9R2VlrMx7Z2s6Ev6hYKYXRQXv3TZYTgIRq9mVOmaIaIYQQQgghhBBaAExSoGlRkdnl5euuVL5pbLd3NbPjFZtWKOITdNsyNEoc/ocQQggh9GRbRgXTlBi0KFXMEEJoXrBwJvKDKHAu16hAgoJpOtAFmxBCjxcWzkQIIX9ga4kQQguEhTNR4EgIHcoEdD5uhBBCCCGEEELIGxbORAghhBBCCCGE0JKASQqEEEIIIYQQQggtCZikQAghhBBCCCGE0JKASQqEEEIIIYQQQggtCZikQAghhBBCCCGE0JKASQqEEEIIIYQQQggtCZikQAghhBBCCCGE0JLw1zO/LfzlL/A5fDL06aPZm0Xy3/8twl+JQ9yT/S0QQmgxuN3/BwCwhUQIoZlha4kQQgs01pBKpf/XzIvNkqQY8/nnnwdgjx6vz0EUP3vcO4EQQkvOZ59/DoAtJEIIzQJbS4QQWqDPPv/8qb/6q1kXmyVJQb7yFVEUv/a1vwnQXj0en376v5966qng4KDHvSMIIbT0jAAAYAuJEEKzwNYSIYQWaAQkktkrTmBNCoQQQgghhBBCCC0JmKRACCGEEEIIIYTQkoBJCoQQQgghhBBCCC0JmKRACCGEEEIIIYTQkoBJCoQQQgghhBBCCC0JmKRACCGEEEIIIYTQkoBJCoQQQgghhBBCCC0JmKRACCGEEEIIIYTQkoBJCoQQQgghhBBCCC0JmKRACCGEEEIIIYTQkoBJCoQQQgghhBBCCC0Jf/24dwAhhBBCCCH05cV/dJcdFAj9LPMsRR73ziCEHjtMUiCEEJoPob/d8AcnAFH+4/c2fH3mZbkb//lb2z2AZzbo/uH5Jz4A5T8wv9t2w8a6RgQiDZGtUqn/PmbDykf7tT65YfrtXf7pDZp/ep4K9Lon/rIeJIRaHiJXvKB6nl76fz7hoxutv7tp7XdwbiDBcoXyxah/2MhMOUzC3WZD1xBZFav7u2cex27Ow8eNZ35S+jtB/f/86+HvPfu4dwbNBX+r0WTlJM/GpWyUPe59mZuxPZ/8GlkeIgt9fs23nn06IM3BB80lp8tMd3gAAMmzmZf+LX1VIFY72YJ/7xNXMU8SQn392XXrVUxgDoS/+Fu/MfXw1Lf+URNOA8DitAxPXGsz9gfyJyBZoljD4cJKK/mH3JLXEp6e0ydHbjXWW7nlqn/67rfm9sGlDZMUCCGE5kOw/kr/xg0AYEZUl3c8P9Oid4wXf3aVFQEidv7T4iUp+I/t/ZxAPaNaRS/SFgC4GzVlF2vaWbfni7+qfoMw/5hR8MNXVMGLtmUvA+2X3/jV8Ld2xC1GkmLiLzsV+fq3EjdnbdctJBLi2Z4PeAnFfOvZgO858HcNPz9f+du7vPjwtUb4pf7nz0Sl7SxI2/i05OHr96y/0b9xg/rOs09MksJ9q+3dD3gBWptvDH/v2S9SMPrFN3yjtrLKLomR6TbKJLMvvoSM7bno6y3pM1HJWzIzvqNYyC9ZuKU/dMr0EZCV34pa+wwQVdyqBaxtej5/78P9t5w8oZ9/Xiad7fPix+aaN2o/9vWWhFL8Y0bBD7+3oOMwF1zXr/RVd2WpG8aTFAtrGYRP7tpdApE9r/i6x8X5iWttxv9AtG7NE5qk+Nj822suN8BvW3t+mBA36wnpaexH+swr6u986+knq3mZESYpEEIILQj7X78yp78aNe01Vbhh+g3rM8YNrFtX9x/8zXDEztoT31uUiEr8uPHM6yd++zEAefpbMd/9hw3M14Ng2GG/84fWd2+xv32jwP7x4TM7o56AaM4/K2Myf7BhPOoWeI5j7e/dtNy9Zbr02u9/v+PEoVcUc4qiHnB3Vu4/1Qoxh9/+SVxgw6nha6X7jhv6BZBQin/4TuKLClkw8B+z1veaWv/wsbnqcF7/62cPJDxhz7E9SWMyf/g96BQ2pP7jF+YsQ08GyfOaHd9RjP1gRYEf+Zi9c8P83gdmwwXL76/lHX9d8+x8k893f9f6McDTCftLX497VDf5E7h3S18r7aF1p6vz/tbPj1AbdGlxoWNfVhCEe1z/rdbf3bD/16UCF3/x9BbmsdwiLqxlYH91Kr/mA0XGv5Wne/SYwNbmUXtGs2MHW2clUf9j+mjqywWTFAghhBZm+He//t2OqH+aJsAcaTe8y/l+64nC1v5ryW8/Bunzuj0/yfv7B8/iYhJhS2Z6u/7oKUP/r05ceL7y6He+ICGdbMN3dV7pHmH4D788W1Jl7npj/7mQfzswxy6pi+tjU8kZQ79AVibkFe3yvGXSpGZs/8Mbh0/+0vru+eI1z19MfSK6LvtEmO/uPPzdx70X6EtI8sxG3fe8sorCB+2VJedrb7WXHHpDXrpzw/xSDDx/XwRgVOGPOkMxPyTs71/RTc5oZKb/5sSeC609NRf/8ztnv7d4/fhm2qtFaBmwtXnUqPBXdoe/8rj3YgnB2T0QQggtgJQQ4M2m37qmed/V/BszD0Q603M24ZMP7D03rLc+GOZn2pQw8rH91i1rz13XiDDpDVHgh7nhkdG/AIDAjw5zw8Mc7/axAv6ju9b3btn7Od5nzw6eHx7mhbG3+I/t710z93wwvkef/EZfc1cAOvG1Io8MxTiyMibv8I4NUuB/f/Wtnrl/wRm2+2ANwxNrEHys4FEhT//dluNndmygYPjdisu/9/llhOEP7lrfu2G9+/HUg8wPc8PDo4IIAP/Nf8IND3PDvI/v4+f5MGnNv/ufl//AA7XB50Pdp/9ux9EfxTwNgrX2F60+TgwfuzDLqfJwwx+zt25Ze+6yPv8wY2fmxHcUPvnA2nPDesfHkfH8yHD/Xet7t6w+N83zw8Oc5zETRrjhBxvgP7bfumHtueua+bi5OfbWrRs9d10jvlaClgiRd929ZX3vlv0DbpY/jTCx5Ee+/ojzOAn9Q56NyT5RlP48gY9+dbHmlu+F3Bzrs9EGAIEfftBui+Ptto+f/Mw/MYH33dqPXxSmPXICzw0Pf8wLY//LDQ/P/ydAVn4nf/MGAoK19XfDD9bv8ZsSPrlr7bp2o9/7u4236nc+GJ6lURprjm5Y+6c/E6a0DA+NnUg9vk4PNz88zA3dGzsKQ+MH4cGJMes6Zzg5PS9qIu+6c+vGe7fYTx55G+O5G26OvTX1GirwH9wd++1M/bTv1nVk6oKTPzXzn/X/Z+/9w5q60sXf9zs5LofptkwiPYn0SaTfpMw3qVNTTiUcKD4y8ExOnDL0ytCvTuZwS4cplopa0AqiUrSIVqEqlDGenGYupxm5k8EzTDxk0occeMjAJcHixmIyxeQMZl8xuYPJoW7LuD05c/8IgSQkkIDij9mfhz90Z++11493rb3Wu973XYES6yUdVtw0aHVSc36a89R8ffwJhbakoKGhoaFZPMy03LQv2nVWrc6eWxQmMAVh6MQpYMlefXFA0+MJ/ZW0dbaqNHrTuP+zy8B4G3JLygolwT6lpF2vajmvG3H570OcDfllu/23DbcUVemnEx9pfXNrKwBwCpo/nY2UQTm6WxUqrWkmAYybuaV4Z3CQAuNpeW0vktUqskdPnNTgTgqAnXtGVSpigKNLa5oClLJ1+8YIG2WJ0oKNbbjeZeyzlqwTxlTAed4LANRYj6Lln3TD/rkgxpW9dbDkITotcPN3bul+s9VuuNj3ZlqA2cgUYWxTqnRmx8wcLo4tlr2xp2gTx6c08PY3FB4x+orhNTcUygEAhMWfnsr3lyZaeZiD23ix3wMg2FIqSwx/B3Pjjzer+9XEpd8PU5lp86jMohIVAPCMaD9RtRlGZufoGH+TvPSdgsAdYaJ9T2mrLbn40xq+oeGUetA104jZ8nfLtgiDNo+9bpP6Y8XF/tkKjOfL/vHdstzZMC7G0/LaXpDs1dTlIAAAL64orer4KrXq01LUdvxMh9Xjm44zMIG0eP/bUl5IQUlrx88//rTXPj1NZ2Cize/u/+m3NL5EztdmPx672U86lMuoblFdNDv86yaUIMze+k5J7pwANBNmtbL1N332mXUXYgqzC98p2xwQ+icmIYyVOKG8RGp4T+v47LcmuTDITN2DaxRKde9MgBjEWSeVlxTKkqdfSHbVFZz2x77xj9soY99vDm3yZT6aLubR1xU045i09jflqUEZ85WanX9WWSwI44Lh1h2WNw1PZ8RwTG4AALT4LsAUCjkM3HGDuOkFJiOgY6oKScVxRS9BAaCsg52V6dOvHNUqFAFFY7BEWVu2vxUmqpGzr7VJ2T4zJKLE9KKqdyVzMhA6MvjwukzqFkVHgCCxxTJ5cYl0WjwcmvI31YTvJ8eFqoILAIDJPtBUbIicZnTC6f+oqQomlUfP6W3TNyPm+tydFcWZyxUFaCYbMuKjo63907oAjCt7+2BFDpccaW841Wb07whgydKy90qzZ3TcM414fu+aiyeOqs1O/7AZ6asUTbP6JJZT0HhS2H20SW/xUMDgFyma5dwIwhxNH39CoZUUNDQ0NDRLIO5FWY5Z10YYdLh8hzjkq0kNa3VjAFypbL17QBPyJGlqKa/tIChAnPXpEv4adO/Wtc/78YHz1Q7yZEupeGa+az+/v6LVMoWYyemy9Wsxr9s22GcaPF9dSZ48VSrGAJ4R50jB7cQNwy7AuJlpIowBrOSZKRNlaa3cr7aSgDjr0196dhW4HQNDVmNrzYi1tKE2N8SL+OZnJ97vwyFRKHmOieJ8wR3dlwftAEiSPY93LpKUq7vKF1XAiO8FavT8nqpWCwmILcwUC1iM29e/uKQ7fRC2COHhwcvJEqntlhHzECmdntNPWdVVlSorBYglytjwQiJGeeyXB3D8wvEyDzpXmc4EAGCLc6TYlGOg2+phsMVZ4jUMgMSZ8JmxVVcQ5BWzlQKGMDsnsisHg1+k1BUtULJoRcXTfbzsRI/TCxhXnCnms1aQTuugydqjqCKoU43ykNkjRWhqWzsItjhLuha76/zikmmMMCgOkd9srts8M1snjY3ltV0uiGNLcl4RJADpsvT2WXXNlW5orsudd1LvpSy/OKjr8vBSNm3krCQduGnYZes8VUGtUu1Nn105kLiiokYzRgHGFmeI12Lg/iNu0h7fD/nPL1AtNMsIZdccqFQMkxDHFmWIn2cBecNiGrbqmsuvXq8+syN1tkEJbXVFi2kSgMmXZIl4TwE5bhkYtOpOV7q9c2QmKiFcDGidNJurVRNXzFaQpPivunrq9x43uACYfIlYwEF3r1su4SPahgrcUdtYkoIBAOK9LJOyqeBxG56fXiPG1sViz/XaDVLZM66rvbiDAs76TS9xVgKDv2bRqU5H64CgXW7v7d83HTIOkJxk8fPPIEia/nqQgy07D2sdFGBccaaIjbyea5+bLV3KnV/Yahr3ZQYsfZ2dNWWnzR5AzOTUtO+w0ZTr6mC/4tB/kX8fxW66l+g4UN40RAJiCTa8+DxnJXXDYhrGOxrLr7mOnSwUIoBV/Fdk0ps38R7cBcAWZ4vZCJDomchpRi+cvpJe+nh/Z//d5FSZgA2TtssDVudwe201nGkqFi1j2AV3/0c1XVdWrd+U9+xK5xd9pjEqsnkKAAAgAElEQVRC13gETWVd/+dWW4I4ezMXkbbLA1bnqL7+ELZGUSwKEgPKoatrUllW8FNlIjaacl393GwbOF9tu17VeDA7oOtE36wAAGNt73eYbXFccRp3FayOGLc1pj7+xEErKWhoaGholgISbJaKLigtvXrTG+LgyGc+NxAk2iwVMM6HPjd6QXGRoBBXVnmsIsNvnkDZ1e+Vq6z6Tz/bKs7zXaSMbRcsU8DbcuxMiX/Tr3ib7vCOhgH9p4Z8cR4buJtKyjfB4KmhYb0nOXfn3qBICtSw8miblYwXF9VWy2d2DSf6GyqP6waVZzpST24J/NKT+IAjc8e5qtwAnwGvzUYAMLgiUSy7bNEWcJ732tUNrRYS8aT7ju5K9x8KQOLKyv2anodp85kgeiEBLBOEYxwgGQDAqfsntZUCdnpFoLfFuLa6rMXU+4vfFKQX8QEY/Lxdu2Gqp7bPagR+XvnuIBf32KormHHHdWo6V0shWlGZwj9R9ji9SLS19mjRjCc+ibeU7+mwa9T9eYc2BQmKXa8TbjvzSaF/P81taq6s1hImjdYm9W/zjmnV3S6IT61oqpX55bFoWLnnQLup7Twu3R2q/wvEi3f0iUtONRf4V27OriNlJ/o93b/WydMLpk1LKPyfT2nGKJScf/RwsdjfQzx9pyqOnTdQAE/8rtxjgk19XDFMIq60qm73zIYzaT3/fk0rrj3R8IKqJssnXKRB1WqaBCyl+GRAFFtP7/G36npMbe345lJxYP+KRggXB4Mr+g4GhPvamAtSfDl2dZz6yOBCPOm7R3f4DamAtGnq9ihxTYNSotwtjgO0Lr9iHYQft2PtYjGDiQt2i8Hd4ZQ3jbAk8n1RB84MD2mzO70AHHbQ0S1eq9EqLjoVMJgAwGR/U4PW4WVl7jg2O9pThO5EZUNvT0OLZN0hf6yfce3Jc2YPg5W541jVZv+dpF1zuFLRubAjnE19XDFEIq604nBptv+EbM9AS0Wd1tL2sWZjszwJmBmFFRlgU9m3txECaWmVfIF4PVEL5/Qvxk5rdvm5ihz2dKDRMW1tRYuJ0Kp7t9ZJl81qizR1EXmHFGVpvi9IofFEeW0X0dHcysk6qNqbPm0i59LX7jplHNd3DBWKAk3tKFytZElKG2vy/MPrlL2j7lDTYH9Tkz7lA78tYfTNCgAAzkGcJ9336WzvCJ/z2Pr4Ewcdk4KGhoaGZkkgtjQvBcFk/+9CAmR6+n7XR0KcOC+bHeZDnFx4VllfU3tkdkUKAIif930RAGUbtfkvuRw3SAC2JCNgosdgy3Y3nlGqT+YtuJPgNrTpnV4se0fwTDEhvWx3LodB4Z3akNP1mFm7gjQFAEB97Z4CYKxmxRQoMtoCRnwvNfjrzjGAxNw9O9ID5r6YuGiffN4jX2dw6ltqDx8J/atrNS3kVbsADBbnGQCvx+1Ph7PlmPrUwbrDwfEgEqX/sAEDr8tmiyK2RIzVFcSk2+0FeIbJWtKMLWpRiRNXKM6drD5WWxQYKxAT52YJGEDabKFn2TC48rLCAItfluQff5wZB+CyXJ7wX7vhcHgB+OmBhtDY+sL3G5o1ynk1FAAASCzfWxCwt8zJeet1IYDXjlv8Ne/p1nS5AAmL3pvVUAAAM6N0z6tP+Hbc4wTZr75IAINb8N7uIEkQbqv+aSoGpFGjdfivZVerztYePFkZdM4OM+OHOWwAj+VayGGZ0QjhIkGrE5gAQLr9wjbSrhmigL/1/V2BazBMULC3JAXBRHdH30IDQqxd7OFC4mqNmQIQpKUG++EhyU/3yoP9aRwXf2nwAGfz3qDRHnFlu97JZgI58Nsuf8PZtO34FDCz3qnYHHAnxi94r3Dh0x/Ifs1FO8XgFry3e0ZDAQDMtOI9W4S8RMpmCXuY6gJpRi2c/p8y3ijLmf36o6TcIhkXgLp61TLfi6Zwdd2cz9bhIw1aIuY8AwAAM6e4JG3ms8LK3PI9HgOAIcwrSp914mNLC15hAZDXx0JrBsv4WVVewPAax8/b+7PMeCCH2jvHpq9F36zTJObu2TW/hgJi7uNPHLSSgoaGhoZmiWCZr2YxgTLp9IFzFIdea6KAmfGDzDl+tj5QojgzJXSBdO8eIACK/NpvKcDkcBCAy3ixxxkYUIrJFXGj2Iohr/x+hIKELFlG6M1ImJGZADBuuRo8R09+URQ6c6DughcA/gbFuAaOroAR32sbuuIBEGRJQ39gcLNzonL3cI+ZjX39c/5w573YCjKHFT7z5tkQa4CYwnRJUqi7D3gBgLp95040icZUXUF47wIAMNDKaF4TiZhEBeOKNwpDdVbUPQCAP88JbMYUv5AUfAXj8tgA4CZntEWcNRwGgFWvGQlcvyFOMp+54IKEwX5pfYiZCfv551gA1O2vpmue+sJ8mQK0LmuOQwwS5Xzv4ZybSDMHasR4mQRIlsqSQ39ibvyBJB5gbNA07r/EwARp6YKQ0ZW6SwEAUGSIHiAaIVwsaHo0mBZ824DZCSCWSefIFSszUwRAjVyZd43qz14MXWz5IK+PmPFhfPpvsN+gaakurdEQAIm5218N7l0MrlgU0jFdpkE7MLiyV+coHrGXXxFj4LVbvvAVjjANuwBYG7+fHjoeJWR9b/0Cq1tqxGiaBBDmvhYqSEhU1PiJ8lxN7D4+sQknAAAIXnwxJPM8PhcBUJPzj+cuS5jPVv/Af9yKNc8+kv9X8Cc0nskCgDg2L9jyDmMyAYCaCskaJsme0wTx6f+wAQMvYRry6Qmib1b/5e+8KIpm1I2pjz9x0O4eNDQ0NDRLBaXk5iTqNXa9zrqtxLd89lp1ejsw2Dmvps43n/KSTuuVq/brNsLhdLpu3iAc42Sw7TmWWZCvGTxv6z7+k8FfiFNSX3pR/NLfvShKjM5YdNx23QtwB9c0njKEzAm8t6/9GcDrdroBZidsCBhz8hu3CjEAvF+TU7FbxS9cwEjvJa+PuwGwtclhTHA5SQImWOcEIg1FkH/kbNbc2SDiLPXs0DskCQAIC1k/T7lsw9arYw7H+HWn03XTQYQPyD8P0VZXMGjVCgAgydsAiy9ZzKIC5Bh++Uu7Y4xwjLtu/ummY2z6xIS7odlDocLKQChEy8N/Vb5BXz9gVVfIO/nitJQXxevFKev5zKjkDUNzFBlohS/n0/91j7uoabGZA1ewlgGOuddplh03QZAAnGRRmMC4cQJREhiGCccNgIDosNSE3fKF7Rphd4y7bjpvOgnCSfpDJAQSjRAuFpK8AwBY3LQfyvUxDwA4jf/UcG2O2tB5EwA8f/KQANGM4NF2seWDwltr8DlXseTciqq5h7Ci0JHLe91BAHjvXNaccoa20V23jQKgbk64ALjgvelwATB4gqS5ecCe57NhYD6zAjfhIgE4yeH6+2KJXTjRyrg5NTIdRPnufKM6llF2SjA3fhBiLe70aOR/66JgsAXPzX0cJSdzoct6k7gJwI6hWQMyFT3R9vEnDlpJQUNDQ0OzZBj8vM18jdLeddFcJExFANTgb7vGAZKlsohb/pSjs+Vkq94ys9RmICabL1nvNg4HWTEiYeHJD5kqVbtuxIX3avFerQoAS0ovKH5HvmGhQ+lJ8q4XYIowdUWa0t2jFjyTksHmJACM33SMA0SwCglHtAWM9Dg1BWEUAT4wtIoBCyopUAJXsLQwDeGZIhwuAAabMzNdpVxG1SnFRdw5o5RAGCdJLIm3mOYcvBeBJVQXh72GAR6X4yYFoedZRE8sokJa25tOtRkCioaYXNEGoXPQGuks3oVgZVc3Ym3nVJ2XbHazzm7WaQAQWyzdtv0NqWDJ7tskRcHsMjIYxt9gCOBhxjihmYacogAAw8K2N4bFIQCKnPKv7ybM6qYW9YBrtukwliA5VfRHs+Wr5cmvD/d1ggRAaxJ9K2JfDsE53KMbjvCEl1rQlusBdLH7A2fdphf84x5irMQSuIJ1r2SmhHNpnIv3a5ICADfepZ+r6fBBTZ9/9DVFATC+FVYWUNiOHAA5RUKk/r5YYhPOJYFxkpctYsWCrAr7CV7xzVUI4J6vtaJv1lh5VPr4w4FWUtDQ0NDQ3Ac4ObkS9SlT378Z30rNjieNun4PIIlMyotwP9n7UcXpHg8DE+XkytI3vPAcm8NmIQZA35HNcxalmDC37MPcsknCMmK5OoLjg5dMY/2qGrvzUHNF2ryzmThsJQAk5Z88kMuJsPOALbiM90WGG3ddHiRAGHEzxzOi77KSKOmVvA3sWAsYDoTiAIAkw1oSkOTth+eVTY2Yh0iAxJlAlRSu3Ffb4QKMm5mX+70Noud5bA4TAwBLi9w0FlWaS6outuiFBLC4rphHKElKpCkyZevWXp4ATlp+Ztg2jF5UxrXvH1DiJDDXS1/PTn/hO2t5iWwMAUzq92xbwgoKsSWFByWFlMduGRq5Yhk29w7ace2pnX8kz36Yv0SPDN9y5dZXt4J283xMfe2mNRSPBlgcAgAyvBk3SU5RABjm2xb22tWH6lR2CiWmFuRmSdbx1yaymRgCINSly7uAmfSdrcP3xxX2DVxIUtpctiFCZ4xjLrDDfx+62FJd2iLAkhQuIcom41sIAXjFJU27MyO4ca18mj1759TXJBlGMx5BQmaZV5AWSQzC+URxmyTDWOiRd25TAE/FIYBYmjUmHp0+/pCglRQ0NDQ0NPcDZtYPM5SmLrzD4MpO+33HEAXxm/5hYyRLB9Jk6PcAiAobz2wNWjXNt+EQzxVlcEUZ0oIS0nR6R3Wny3Ch+8203Pnmu4nctQicHvIum71QkKp5QJLMl5ndPTb9L01b9knCa0VcXcoWhRXEpVl5AIssYBDY2kQ2gOvaKAEZoXEynXbHgmYUDwqvS6fp9gDwMrKmvWq9uKHHBQx2QW1zybrgkKPRrhSWVl0MYWYGW3PBZbjQ/ZMUaXh58HSrTitNFFeekp8Z9oaoRcU50I2TgG3Yfe6D4Hfduy9rfcTki7P54uy8wpKx9v0VSnzkQsdI/hJPH+Ak8Zhg9XxxxQHiEL0hNYqP0qd7PBqwuFwM7E67xQnCUKN6ymYbA2Cweb72s3cbxihgbqo6tS8o6I+XWrr7RixQtgu/NE4BEmZlTtv5Tw9ct72Ik7jImKzRd7EVPo8V6r9CRXiSvPVIBdf0wVjDYwOM3SK9bE5iFHfaHRY7JQtVvJLX7QvobacFaTScIC2WGITzScJLWP5IATekCahrowQArElcAxBLs8bEo9LHHxoPMHDmvT8a//VCx3x/vf/xgPSc9x1yHDdolE2Nx2sPH6k/rdTocWcY82A33tmu0fREE8X8PmXLatC0azrxhzRVdePaRZfXV1fBfxe0ul7cFqsD8wNi0qwoLdi8tUptXe78OAfaNZp2gzVytXpw3cNs9yAo6/k9W/NeK1PiS468FTt+KeolFmwkaqxfo2nXaLT4UsOYBydr79Fo2jsGn/QIy9GCJLIsDlCWTq2uU2+hgLPph5kRrRx8dqGsOQEXKMuVPwQ1KOW29GnVWjy4S2CSdDETgJr0hM5EQ6QhXpyajGCy73dz48lP2Q0X9CZ7VLvIKO3Hr/ERTPScPN3jDDc/cGpb1FYKMLFsWi8TdQEjI0gRMgEc3Xo85IvjtRu6rdGlcd8hceURxTAF8enyfL/qxPtf5BQAgy9IDp7Jee2XLe65SfgInmYttbpEr+WL44AcVJ7sCDsguI2KVtMUIKFUFulglKhFxRevjMUP9fcmv8Bti507kmNmw4XzxmBHE5T0SmYSAJDupZs6rEtPYwKM6VXdwS3idenauh+FrwkNAKB1kpcwAKteZw/9ydOrN04CcDMkvlUQSd32AjwrWheyzT5huToe+uyDw9nbclRDALCz5bkzC1dBmpgJYNHr53YHz6C2o9fqXGjeGH0XQ/HfxgCoLy3B10mToS96qV7GJR9XsoELXsLwGT6nS5OWznbDMEF6/XemsAHcA7pLobXl6tYNLzAgTAvSqF43GnInZWmt2l6yo74zdN5CLaQPjkE4nyioy5/NGSE93b8bJIHhayOIpVlj4dHo4w+RB6ikuHP13z75v34x35/ui6jifT9cpuy6E2/9pKiqXtneoe8x9vUbOtsVjVU/+T93NHW7gmTR6zK1KRWqX19eNgscD65RKRWaSzcfikbN6zC2KRWq315eRCv66koZ/Kdoaair2i6Xv1nXbnkIK95gRvt1dpLy4IbBRZ54tGiu9bQqlErNUOTP641+tVKpaOt/OO0ejGOgG/dQ5Gi3cc5H64EzI0WNSuMCAkMaVccVSqVC2Wa8cT+zcMeiVyiVKuP1+5ck6RixWqzE4xqzeV2ujA9AtDdoCGDwZZvnOYGCtfZZFoD7stEcWFhnb8sZffAiampQfaJF9fMW1VDAjV6X4bNBDwD2nGDWDD4eW8UAGLsU3HvY2QXpTCCNP69TB+r+vG7jz4/XK05VN1wMq3QIhcEtqNgqigNP7/GyA0rDaEAmJ+0GZXnZz80kYJKflmYzYyxgZNCGH21OAnBpTzYHakZIXPmRevl7HOV2DGibKkr2XLBTiO07WW0aBpvHBqD+8PvAM2i9blz5kWZsTjroW1gcAPUHPLBBl15d7Nw9P03FgDS1lO9p1lomZr/PJNGvPlBe2+2GOKG8NDfyvmK0osLichGAY7DPFqA8osa0Dcr+RfdcZ1dLvaK1oUXrCJhYkFa9bhSAwQ0XuS1G4lLlcjEGbmNjea3G7PBQ4KU89n714X2KG0zmX0EMtscDLF0u44KX0HzYYgoYxyh7+8lz/SRgmVv9DnQ87loEYO/vDZykkFZ1Q+vcddIDgPKM9mtO7Nhep3d4kWDrvkDPDrQ+/3UhgrH2o6d7nAGZoUbb6060NNUdChrMwxF9F0Mi8QsIYFx75uf9Ht8gSblMqkMnu8ko+gzCMATgvjq0fPtRgtx8CQbOzhP12kB1KuXQf1TTrKyvaTH4212wOV8cB57ejxsC7yTtUTUxll7gFyRjwGKFHGo9o8FtBPBEs0YuWDwGAM4RfIFPYfTC+WRBDipPXrDPVuKUXfOh0kQClpK/OWn6WvTNGgMPuY8/fB6gu8dT331t+8/Czi3uuQY7/hX3rIh7asWDe/19wevqOFzZNEQCUyjLlaYKeWswuHXDghu0HYP2jhPlJKOpKqIxM82CYOK8rZnP+r4jFEVR7rErpj7c0avc4/CcPFUsWvDctQdHyraKgtv/7hHk5UbadKMBABC8Vlzk+jdHgrRgaabIS2IK7zC4srdENit16TuGHpMRfeqSquq4EdJrfnMw87FcNnA3y8TqZpwCQOukM9/vsIjzXhV1t1o6a4q+TE9bv5YFpHPUbBy5I0jho6GAJXh8VtEW7WW1veNA0dUNGS8lseDOzWuf9+PjFGDiInn67EyUn5WdpFXZzfVFcnUi8/lXD1ZtZgMAlvZO9RZi/wVctVuuW/fyS8+tRt5b1z+/hLsoiOPLy7ZG6e2P+NuOHrq3/9h5y1B7/VB7UwKb8wwGkx6Hy015ARgscdGBqoBz3aIt4Dww+PKKwstVrZau429+8dvMvxOwGLcd+CXT+FOyktxrSq0tqlQWy0jrW/K26X/fo+5M+o/9Y4rlFXuLAkOWMviygtSORrOxseTNngwJnwVTN68N9uMTbLEQw0Pswhji7E1sXYdLd7joMpfN+u6Pj+5Ix+5HdXFyq0/+uaZKhVu0LTs7lUw2e008Ip3+E0YwfkHlATl/vpVLlKKCpf0oj9uvsZ/fWYxn/r2I8xS4CXxg0A5CMc+DL+6YDEH+G5ldx41DLdtL+jM38Dlx4B7DBwbtHi/i5RbmJS0q0WA4udXvTxx6v81qVNYYlf6rcXx5ba7jwCnjfXgDzUJQlxoK5WfmXkf/683GgzImACBB4b6S0UrFsLa6yCxOS32eCeS4ZVoSNu+tyPL3u4Ssgo1teBfeVPaGMSP1hQREeYjLA2bbN8ViNn5/bQZDc+6l7twhp/fdETuzcF9FgTCoXzG4BRWllr2njPrjPxn4tSRFwHkaUeOWgSG7xwvMjHeKNi4QFjGGLsbMkr/abrpA2LRHCnrZggREjhNOii0rkl5TLThCYpLsdOZAj0NT+Xofl8NK3f5hofhBf3kTpHt24WUneozNb13uEEtEXNY3KefooMnqpgATF5bmzcRISszd89NLZc1mY/OOEcPLaclr0J+Jq2azDdJLtn6taIsUotEHEsn3FVkrVSP62uJB0YYNzycgchw3DRGkFwm2vlOQNHsrJy1LrLbiI8o35XreM2uyd9cWhJ/5Ri2cTxIMfl7BaoOiXN79cprQ1wS4zUNBQnpZWYAvUvTNGj3L3McfPR6gkmLF2rQfrA33A/XlJxd/AcDM+sHGpx7c6+8HZN851RAJ7E01p/dl+iVRkCyUZOVmt1XuVFkNyra8jNKojrqlCQNam5GfF7S43VZS1N+w94huTHv2ovRMweJOG7ofMNiZxQfD+y3TBMJMlVemPuxMUJZOvS2vUBChJ9o69ZbHREfxBMDMys38F9wwiUlkWQuERkvadrQWGprajPZ+nb0fACCOnVl8eCf71/KgRSkSFB47Gf/x2fP9lgG9bQAAABiItyG/qKQwKAIigy8/XE01tGiGXA6723nZXrHZF3EdE5c0nklSnlXr8ZF+3ch0CpyUXHlxsWzeVWsIWErhGcWLHer/u6Mbd0y4bBMuAACE8TZIC7ZulQmDZ97RFnA+UPK2kx+yFC2tuhGrodMKAIDxZeX7ygS/3xl9vhcHRXpmpkEMhDHZvOeEkvQsWU4qZ44GmSOtPkl9dPJfemyDescgAABii+WH9r40WIaHOqYgccmRqv/+6Kze6hwjnSRueztdzLgv1YUEBfWq9Xq1ul03RHjGCY/PJhZjizfm/kSeL154mhidqMQJS47VooYWzZDVoLUCADAwQc7u/VupM8WLVFIAc1NVI+K1nOsYwg0d08sPxORnv/5O2RbhfYp0j4mLGj/N6td1GvEx121q5ernXvzelvzMxEv19yd9mgWhyIlwu3cMz6zHAeIXfNDMUbeoOsx4t9YnCogplMl/VpIbKAmYZNexqriPzuqteNf0bUxhbk2F1FG/4wEsYIJyjjAWjy94ISVdtlkqCtutuNKaZqZa0arps5u6p/svYvKzcwu3b01d+FzMGLoYEhUfqUMtiotmx6TLNgmILZaX7pZz/n2nauFSYRvfrZ+Ek//SYxu321zUVaJQnLTwU0uEuXHf2WdECkWbwYobiOnOjnFTCwpL5RuDtls4udVN8a1NSq3J2q+zAgAgbnrZe+9u/LJOseBr4vjy+kaOqkWlwy19egsATAvSOyW5wZ+9xNz3a8mGU21GgrB5CMziLuBHUDdEK5xPEogj3XsUO3G0tV836r+yYVtZWaEkeGss+maNmmXu448c/+Mvf/nLPD8TN5xer/fb3376Pr7yP3U1b569AqI3fl6ft8iIOrG+8T+/+sY3vsH+25i1WPhp+Z5Ot6Dw3Fn5nNUyhTeVnjCQPHljfYHPBctrVRSVayb4JcrmgkSAKbdjzEF6V7G4XE78fJNgykM4btyi0Oo1XC5zru0ARXruUCu+ycLiALykY9R2k1y5dr2QgwCI89tLWm3s/DPKYhEDKA9hc9yCuNVrkrjznaxOkU6CcJOAnuHyErHQG70U+RV5bwXGxBAAUBOEzXkL0Boen42FnhuPNxVWdXiEJarGguCGJCfd9/4bpvMcFl9duVh5H6rnBgMj9TWvN5opYfGnp/J9drnUpPvOf6OnmHNyS5Kee9SKp1hzfgDSRTj/RFIIC1+rPqbcjnEXOQWIxRUkho6uEV8KQE0QDuctirF6DZfLnDsqk6TnHjz1NIYYAF7SaSecU8B6ls9LiGotZDyWV9tNhZc6HyMtP6nQOtm5Z1ThFGRe0jlGuElALDaPywrzykiVFihpIb9MuhzjbsqLwgizT2C+gTFnrgelQ3kI4qabQvFsXlK4zMw8M044/nQb4nkC322RMxPwap8UISyOIqdYefWqsrBR/Sm8qaiqY8J/WziRi6VTUJ4x+/U/3caeSxUkgEdbVdCMY9La35QHa2qmSM+fKfgGeio+ODVf60QQOdLjvjfVd7K4xcRIrVDuSkMA/p74QJmcvA0A8fGrHvSLIkB5xuzXnbfvxq1OTuZH7K2+Ownipvs2oFUsLp8TeUJEkS63BzA2O8zIMG53/Ok2xK1mJXLnSSGabJPjLuckCXEsTmKYFwVlO9oCzvu+CcJ24xag1Wv4847wDxcv6bTbrruplay1grlfjRAo0unyADOkIe5PdYGXdBIucgpQPJOTOM/gE5FoRIWasNsct257V60R8Hn3q1VIl4O46aZWYpHG8PsO1VObf9wIqVW/qs1+iAaMjwPLOlou+DX3Qbps9uu3ptCqZwUi7qO3TpxyOwiXewoWJ88xdDEv5Zlw3WUwOQmxV4KX8rhcd9Ginl0C1CThIG5RsArjcOedIvq/fTNzpJjwks4xwknexeJ5887EgJxwuakVUQ2YUQrnY03IMmfK7bA73LCKs+CyLtpmjZpHvI/HzuTkbQZjOuLEata3I9227Kd7UFfaLly5B8zv/0i2PBqKpXCXogAAhT1QB4nLlOqysI95SYvmxNFWs98TD/HS8ktKQ1VuAECOahWKNsOIPyIWgyXK2rL9rXxRQIgUj76uoBnnFDSeFHYfbdJbPBQw+EWK5qAF7BSh+/mRpi6/HxRii2Vv7CzeFHpc/IRZrWz9TZ99JjYlYgqzC98p2xygUiXa95S22pKLP63hGxpOqQf9rmwYN1v+bhT7OaRFVbmnzU4lbqo5ti/SSTzzgwn4HIbZ4XQ5vcBhAHhxRWl4bYjxtLy2FyR7NXU5MyWgHN2tila9adxvYIxYYtnP9hRvCorWPmnV/PzjXwVUBcZNl+9+t2Cdv3zhX0raOltVGr1p3P8YA+NtyC0pK5QEaMCMp+W1vUhWqyqYVB49pzx3+/wAACAASURBVPcHFkXM9bk7K4ozH5zcUy6jukV10eyYKXqCMHvrOyW5/MBWC1dpAH5JC1lvk3a9quW8bmTGoxFxNuSX7Q4or09g2PlnlcU+Q4YZiT270dLwYatxRioTU+Vlu+Qpoep5Z19rk7J9pkpRYmrRe3tzbL5Emj8tXsjdhsGXvQodGqtB11+UsimMymhAa5gAJMyVMdo1I3N+jqVTfLIb03yo1NlJAJDs0tRtjtAbxvW1e08ZJzBR4eGTcn9QBq/LpG5RdAS0TqI4r7C0KMsfM9rb31B4xDh9QLq5oVAOABCgqntyQcwkITMpuju5fGYU9lUIY0daVWKJfNH9ieyFsESuIKqkoi/gvKkkcEUJD8+4LEoYGCdZHK3EIowTZr51f6oLGBgnaUmTuWhEBSXwRQn32yUQY/OE7Afi2u11W/ocazaKQ/ex7bZrXoCnmaufzKXGYwsD4/CjOJoBYwvWswXLkJ/FEcfiJbMWLc8xdDEGYrIXO0IyEDPxIYyuKJ4riI/mvdF++8ITpSABYAnsaAfNqNN8cohj8dZFJclRN2vUPOJ9/IGx3EoK12ftn/1/sEKU9/rfPQYfw7V8LnRZLZ3nTd/fLZlzTHEknF0n1G3mFfxUmYiNplxXP8dtA+erv7xe0XhQFjDjIQdbdh7WOijAuOJMERt5Pdc+N1u6lDu/sNU07ssMMfsYa3u/w2yL44rTuKtgdZCprfeW6ecH1d13eCmbXnp2FeW2XR604h3Hd47dOvNB/qyegtBWV7SYJgGYfEmWiPeUz5HMqjtd6fY21+UGL50pQlPb2kGwxVnStdhd5xeXTGOEQXGI/GZz3eZ5FtmkpfXQ/jY7xd5UdWzf4lfjXgoAgLGYA9GcnXU7T5tJBiZIk76UxIKvrl/u68c7jpd9hc5Vpk/PzKasivcqNWMUYguz08ScONJtNRuG+xUHXFRDszzi15A0tZTXdhAUIM76dAl/Dbp369rn/fjA+WoHebKlVByskSEvfby/s/9ucqpMwIZJ2+UBq3O4vbYazjQ9mFgblF1zoFIxTEIcW5Qhfp4F5A2Ladiqay6/er36zI7UxczW7ef3V7RaphAzOV22fi3mddsG+0yD56sryZOnSsXzpzjRXX9Ae/mbwkypgAWuq2azbdysOvwBOtUY6Anp1NaUNZs9gJjJqWnfYaMp19VBs6LmBJV9N/pscrJ+KNFZjQN6w8SmOV5/bsPFSyRgma9mcT5rD30ypk4xdUVVazZOsATrU9dgwIvkeunqqa+c1lAclfvddL1Ex4HypiESEEuU9uLzrJVuB24awTXHyq+OHzs57SXPFudIsSnHQLfVw2CLs8RrGACJT4TOnIaG5uHjNtSV1feRgsv73n87fVZrP2FWNGmdXmD+fTrtu0pDQ0ND84iwvEqKP1/5144r94D5/f/9GJhRAADn+1vztDUd4/rqEofstR/lSV8WLGjP6bV3tLkkJc01W/w7sVNEx7HKpoH+pibtS/X+uOKT/U0NWoeXlbnjWFWufyuVInQnKht6expaJOsObQrc63AO4jzpvk93bApzeLurR/2VUF7fXLTev5wZ76mvPm4Ybj2qSfW7DJAGVatpErCU4pOH8gX+RbKn9/hbdT2mtnZ8c2lQrCC7XifcduaTQr9Nh9vUXFmtJUwarU1aHMHzn7KoD+1XW0n2pqoT+7KX0MDOYYvDC4jHXRPrhMmLa9RmEtiy6saKDP8isrC/YdcRXe8vflOQXsQHAPB0tXaMUWhd4dn6bX4lTnFeW+VOlVWj7sk7FGY3HgBg9ILiIkEhrqzy2GzilF39XrnKqv/0s63ivMBlK2nstGaXn6vIYU/HBR3T1la0mAitundrnfT+Lzxt6uOKYRJxpVV1u2fUQ6T1/Ps1rbj2RMMLqpqsWF9KGdsuWKaAt+XYmRK/BU3xNt3hHQ0D+k8N+eJ5vbWc3Xq0uVa9I3U6aDxpVVVVqketv9KY8/amTtf6ePvJc2YPg5W541jVZn8vmLJrDlcqLsQSIz8+PW8jy9iJ6/REXoiPzJheN0IBM+sfMpjOz0Iei7FTjJlNyfl1J4ol8/iNuXrqK48bXJhIfviofNbsyNZ2XDFEouT8msPFEn/HJoeV+2vaLerj6g3nipIBGPy8Xbthqqe2z2oEfl757sczcCYNDc2jCUvyapZgqN3WeeTN/4cr+i5/TRyQf7KPjBAeClCidE9h6mOwd0RDQ0ND89fBsiopXF1+MwrxY/IpxFLLTtRiH55WD1t1qiM6FWImiVJSXk7NeCVzHTtSGbANxXu2BNiKx3Hzyt+x/OyIYVirG80tSgYAcFz8pcEDnNy9sxoKAEBc2a538C+OGAZ+2+XaFOTakJi7Z9cmTvhFCxLJ353VUABA4qaK3Zar72lt2nZTwW4JAgAsu1q1dvAKCNMFAdv4zIwf5rB7NBOWay4QB9q1MrjyssIArxOW5B9/nNl13OiyXJ4AQZjFKWVrq9zfaiXZ6VXHlqKhoJx9rUfVVgBMsilj4dBKIZAupwcgTvhKWoC+gJleUtdYgPF5/uRuEjcpAMGGVwLcYZCg4MCZ9fc4yZFN3ZILzypfNDnXZAY6LCB+3vdFKituG7UBBEUlwDLeKMuZFRKUlFsk05o0xNWrFpAuHGnS2dVSPRpBxCavh8bdIvvVFwlgcAve2x1owIIJt1X/9A9FjWajRuvI2hajvaXLcYMEYEsyAnx8GGzZ7sa1JHNhp7gE6c63U2ePtcOE8sKszgN6j+WKw5vq03NZtFqcAmbOrorNAb0gjl9QUYwXnzJNhUk1Akgsk/L05216rWVrUJwOS6fe5gVeTq4kDjpCn4q1U/CL3ptXQzHR31D5kWEcibYePloYUGlT/ZoOOxUnLjswq6EAAGx98Z6t+Jsqe+dFs7ycXh7Q0NA8WLCU4jNNInXrLzsH7HjvdGA3lMDP3Jgrl0sFtNUWDQ0NzSwrsXgW5l21QHAlmgfGMiop/nzlXy9cuQfMHzwmZhTTJKQWfaiSDXXrDD3GQdwxhhvGcMMFZRN/k7z4ZwVzHOwB0EvZc2Lax7/8vTSWQU+YhoiiZC6AyzRoBwZX9uocbQ328itizNBtt3xBQYAaBPvOixHtMBmi7KxQ3ye0TprN1aoJHLeDxOcUz8AEaemhz1J3KQAAigzZt2aKX0gKyRiXxwYg3OQkQEj7eSmbpmaPykompFcdO5gdg7+329BUfp210p/ObfeN6bPimBnvlEhjP8oIY7OeBvBc+m2H/YUts4EYMG5QKA0WhwXgcnRrTTmls2tOBksghPlBieLMOaW7dw8QAEV+TUGQf4rgxRdDpnw8PhcBQU2G3hkWchw3jS90kx9qxHiZBBBKZcmhPzE3/kDyz2bD2KBpfBsvNld8JoeDwO4yXuzJ42+a9TBickVRaI+QSCwKLiR6jr+WAZ475C0AAQAAcXnIBcDaKJvjipKQ8b2UFlNfLAdyJEtlye0Ka3fHQLEow//iqf6OHhcwhLLNfICwAdVj6RQJ4hciVyDl6W+qPK4bB9HWY0eLguSNGjGbJgHbmDt34ONlZAha7TbLH2YUNzQ0NDQPDsRNL6pOL/JSHpfrNoVWxTOZj24UVhoaGpqHB0NY1KIueti5+Gtm+ZQULv0vP7sFK0Q/+j8eFzOKWRAnRVqUIi0CyjN6qbfPaOzux+09igNX8LeP1eUGKwgYXMFzcwuIkp/ngd7tJG4CcMF73UEAeO9c1pxyhq5M7rptFAB1c8IFEJDyPHXG5D4/d9HoywbhcdwgIWDFRE3YLV/YrhF2x7jrpvOmkyCcJMDc1RFCoetGBkIMAIDZU7KmcVvaatR6nARWXsW+WDQUAAAkYcWJ4EsYXyZ/5808YcxmFADAEBe8LjQqrCbFjtd/I5T8nVj84osvpYh5wfFEONlbZb+p0Y1pqwu7eetflqwXi1PELyVHNI0Jwks6rVeu2q/bCIfT6bp5g3CMk+GUDmhlXGgVTgdg9d6NRknByz24P5I2z/brqsYeT8AFN0GQAJxkUZggRnECURIYhgnHDYDYWgfLLMjXDJ63dR//yeAvxCmpL70ofunvXhTNOZMiLCjub0LLuAIBAHj9wSa8hMMFwBAIksK8+nk+G/qIuT9Ehi2TiVVWs1HXvT1j+uRqT6/eOAlogzRn3oJH2ykiB0kh/9jdsLffQFAgLN5fFBpc1j3mIAHgS21Dozk0BcpxywswcdOvuKGhoaF58DAQM5G7mI8sDQ0NDQ3NsrBcSoo/f/6rji/vwd/+4H/nPE5mFKEgZnJ6XnJ6XqEbbzvxfitu+ueWjr+vD47Vh8IemvhUHEIAFPVfAADer0kKANx4lx6P8CYq+l3kuLCH3yEUhwDIu1P+hCbM6qYW9YBrNmGMJUhOFf3RbPkq6nfNxesy6l0AAODWqdpl67YJYtBBIUlpY9G66f+QvR/vb7NS3lWiDCFzsbvKvC3HzjzdqmjTmwirsdNq7DwPgHgbcotKCjNnXAriUytO1/OUrb/qtTqGehxDPRrV9HH0JfMdX0I5OltOtuotM+oBBmKy+ZL1buOwa5HZjQxicgX8CMGBp1atDL5ATlEAgGFh845hcQiAIqei0Y0E50FYePJDpkrVrhtx4b1avFerAsCS0guK35FviN3OJQQvRXkBGH8Ttr/M1ZItCLbxB9kqs25I3zUuLUgEAFfXRTMFWLZsjmXTDPerU4z2GKb/cUHVnVWVFVQ55BQJAODCDfoIj3tj6O40NDQ0NDQ0NDQ0TzbLpKRw6TXdt2DFd/MeQzOKcDBYYvneouGipmGL+XMyLygOIkmG86W/c4eiALC4vwEAYHwLIQCvuKRpd6RDOlc+HbUyZyrULB0AACiKpADQyjjf9rVdfahOZadQYmpBbpZkHX9tIpuJIQBCXbo0JQUAM6W4fjdXV1nTMdr6fjP/bHn0B0lgnCS+YOY0jaR3i4Z2KEbxT9TmzBgSCQHxcorrcopJl/0qjlv+cMXUZ7YNtteOEhUttbIZdRJTXLBXXLDL7bD+4eoIjg+ZjSN2naLyqvvY2WJhWBklez+qON3jYWCinFxZ+oYXnmNz2CzEAOg7svkBKCliAotDAECGFQQgySkKAMPCnqS7YMrC3LIPc8smCcuI5eoIjg9eMo31q2rszkPNFWlL82BmfAuLAyC/dn8FMEeLQE6G886Yn7hUWRZbd8Gq67QXFPNhVKuzAyRK89IiFPw+dgrEzas8kuc6tVOBG05/IHgu6AQTX80zc/Y1yMOLFsAKFu3rQUNDQ0NDQ0NDQwMAAN9Yjpf4zSi+/6PHyoyCtOpaW1Wtelv4AH4YiwUA1N0/B2+Cel0229y1IjU6agMATuIaAADGGh4bAG6RXjYnMfwfM/oFoMd2fWLORa/d8kcKgMl7FgMAsHcbxihgbqo6VVuyZZM4mcv0mV/4drOXAoP/emm+gJ1acqBQFAdO/Yl6bUxW+oFJcfOKsji+0zfsgT+sBAYAUHO2m93uyYg70BibL5HmF+2qPftJo5yPYNLcoZ+TMcTirU+XyUurGn7xyd50JlCOi7+OEK+RNBn6PQCiwsYzewtlGUJeImva/+UR2ARncbkYgNNucc79jbLZxgAYbN5M2EwGAFB35+T7tudWxBfEc0UZ0oKSfXVKVd1mNnhdhgvdnoh3RwdjLS8RwGvDv5jbX1xXrYvR+4g2SwUMcHRpTVOU6WK3wwuCHGnEYC73r1OgjDfKMti8LXsrslgwZVV80IIHlMnXOndIYEXo7JxE1hOhu6WhoaGhoaGhoaG5DyyHksLV+XiaUaDblovn1WqlZjDcBjWJm7+gAFhruCF275TJ0Be6fvP0/26ABAZXkuIz4OdKNnDBSxg+w+escElLZ7thmCCjXyZ5rbqu0OU3NaTvGgdgisU+OwWSuu0FeFa0Ljg6A0xYrkYdnTECyOdDgPjbanekM4E0nTuiGlnkwh2lFMpTEHjtGpV+tg4ZGCsewEtYvgjeXSe6Ddbg5z12U2e7ZiB4fYsJMzewAeDWhG8RTjmHezrUeltwHjkZmesQAOVx3wmbNZ+7BGttcogLBmW58oeHrqZA6yQvYQBWvc4e+pMvLgNwMyT+uAyrn2YCwPWrV4KyTVl1vcFSRLktfVq1Fg+WfkySLmYCUJOeW0tUbwE7M0OIgDS1XQhpC3KoXWON8ND8cKV56xF4+n6n0/6uzw1InCeN4DID97NTIOQzSWNl7jog5yMgtHUn9DMKI1/rUEN6w1zFC9Hf0dlvmwgjQUvVHtLQ0NDQ0NDQ0NA8njx4JcWdz3/12y/vwd9+/7GLRoHEsmw2AGlorlMPBS2PKZdZdfiEbgKAmyVbH/ocNaSs09hnlx1T9o6Gj40koPW5M4cvCHLzJRg4O0/Ua4mABQrl0H9U06ysr2kxxLJPbdMcVw0HrCXHexqa9B5Agtx8iU8vxOOuRQD2/qB1KGlVN7TOVZMsGmbOu9V5XKAIdf1HxkXus7NkRfk8BpCD5z8dmskZ96V1bADK1Hq6Y3S6mOSovv5Qmy34YepL7cnTSkXTOUOgacmkWddLAKC1/9NnS+Axqo43tbacabMH1bxOf5kCSBCEiUIKAMBa+ywLwH3ZaA5ctDt7W87oY3dMuO9g6XIZF7yE5sMWU0DNU/b2k+f6ScAyt0pnDCkE64UYgKf7XIPeL3seXHP4gw5XsA5xalB9okX18xbVUECJvS7DZ4MeAOw5AW/JHgqcVwtliUDZz1dVKQ0jLpICatKFd57aU6e/G4MpUSCszFfTMSCNCqWRBCwtN3OeE0MfRKeIExYdKJbEg2eg5ajaL2Dx6QXf5wKFKz5QBrYOTOKqD483nT7yfptl9oXoW1gcAPUHfCis884jDEmYOs8rTh+vPXyk/kSLStODjz909d1y4jKceOu1196ojcKUjLKe37M177UyJT65DBmjoaF5xPC6bX1ateJUfd2R2mOnmlq1Rqt7icOlc6Bdo2k3zg4/blzbrtH0hDHtfZTwZdtgfcRyOYHrNO2aLvsjli0amr8uHnhMiv9X98tuD6z4bt7W7z5WZhQAAEhUuK/IekhlxVVVRRou/4Xn2BiDIm/Yr9pdpBcgXljyXmGoMTlDLC9Cncpyea84TchFf7557fNLlgkKmKllZbmzhy8kSPfswstO9Bib37rcIZaIuKxvUs7RQZPVTQEmLizNm2dxFQI/v0Twe0VVkTHl5Ze4q2DCZhq0OqcAW1e4p8C/jZyQVbCxDe/Cm8reMGakvpCAKA9xecBs+6ZYzMbxud4iiwQTlxwssZcrRnoaPhCs/TB/MevY5C1FG/W13S6dqj1v/TZfCqLXtkkMp0wec1OZ/FMud7XX5Rgn0fpi+XOtqr7ZR9GG/J+s72sa7q8veevfM8QCJqImCNOA2UECSs7fPn2mKVtWmNtxQGtRl8uHXt64bi3mdTusgyarm2KwMou2RvIOEOe9KuputXTWFH2ZnrZ+LQtI56jZOHJHkMJHQ3MMGJYbJCjcVzJaqRjWVheZxWmpzzOBHLcMDNo9XsTbvLciIJQjSvuxXNivsLoMjW+Z1FxOHOUkXOTT6SVbvla0BQRyjc8q2qK9rLZ3HCi6uiHjpSQW3Ll57fN+fJwCTFwkT78P/TlOXHJ4N3moxTDSXl/RPnOZuXH3Hq62Wr2Y6QG24YfZ7J4OFwCws199eT5VxwPqFIm5VeX27Yf1FvWRJr4vcgcSFe0rGa1UjLRXF3aLUl58nr0KviIuD+IOElCitOwfA2zMGOLsTWxdh0t3uOgyl8367o+P7khfWvCPZcCNt318pq3fEeQqpVUrES+rcM/b+aL4SA8+llATdpuTQhy+ICGgE0xZf99LkBQYe3BP7sy5CaRjhCAZGE/IDWxEx0A37qHA0220F4tTljPvNDQ0DxnnQGtTS7vJFaSU6FC3YMnSkt2lMv4iP63XDK2KXpAwc6djhHsdxjZlh0dYsnGT4BH+hFzraVV0U4LC1Ox5opYvPzf6P1FqPcLizBz+o5QtGpq/Lh6wkuLOQNvF//Ad6vHtB/umB0OcUP5hs6DtnOpiv42wmgi/DTpiCTa+WlS0TRLOOISTs7ee8dH7rf26UbPvbs6GbWVlhSE3MzfuO/uMSKFoM1hxAzG9OMS4qQWFpfKNMRmdPCV5+wgGRxT6no7B6eyJ8362s2gTb/Zjh0l2HauK++is3op3aX0vYwpzayqkjvod909JAcDgFhx4x7bjuGFE+b6Cf6ZUHPv4jmUWbhH1KS2jF1Td0pocFgAAW1r1AaVoajOMuj2E3cPABDmle96W3jzdGvL2vNpj6J+Vaj1u0hMm30XEEucWbn9DOnPsCJZS2vQB84zigtHa32Htn76YlC4vekeeFvnQiqRtR2uhoanNaO/X2fsBAOLYmcWHd7J/LX/4SgoAxC/4oJmjblF1mPHu6SZGTKFM/rOS3OCPP4NbUFtLNbdo+gjSRdgAMdflVu0uTsFrFMEpCgqPnYz/+Oz5fsuA3jbgexbxNuQXlRRmRvaiiC3XXGmVQizr0hsuWW+6b1Nx3BfSf/j6ZuHtNu1iUxTmSfkdrXZI+l7euvlnew+qU2Bppe/LbTtb7brGOkFDfR4XAPEL6ps56hbVRbNloMcynVWWSLp1+09zg9fwSFxypOq/PzqrtzrHSCeJ295OFz/KYTW9LsOJffXdLgDEFKZv3ijmJawCz3Xb6KCx1+roVu6xuWpOlEqeoNMOHdrjO9sIQeG5s/KAbhCXXvR2LlyixAUBp8lMXVJVHTdCes1vDmYGNKLgteIi1785EqQFcwzxaGhonlwoR0ddRYvZA4DY4uycdBF3NUbdcozhpu5LllF9w3sOZ+3honX0upiGhoYG/sdf/vKXeX4mbji9Xu+3v/30smXoQfCf//nVN77xDfbfRm+cMBfKM2a//qfbd72wMn7NWj6XuaCye8rtGHO4vatYXC4vfr67qUnCQdyiYBXG4fISFr8/TXkIm+MWoNVrkrjMCIeGAOmy2a/fmkKrnhWIuI/fh5CadLu/urcygR2xgNP3kU6CcE7eRfFreFx22DNaAYCaIBzOWySsZHH4Udc85RmzX3fevhu3OjmZv0A2Hgpe0jlGuElALDaPO29ExinS6bkDTzE588onAOUhiJvu24BWsbh8zrJIjU311vY2gre1+ZMi/sJ3L5Hl7BRe0kMQNycBMBYviY3No32gSKfLA0zuMlT45ORtAIiPX7WIZx1tO7ar7FQcP2/vwbKMIO0qNd6vqD3eMUZhabtVtdInRk3hE85QJUVYpnpqXw+jpKChoXlMWcpoSQ0rt1e1O7yYWF5dLRcHHbU+RegaDzb0uoAtrWvZLYl92DfW5dX2gmSvpi7HZ0mBNxVWdXiEJarGgkfY19p4LK+2m4pqOF1OhlsK3tN6hMWfnsrnLHw3DQ1NbExO3mYwpiNOrGZFNGNYpiNIH38QM0nITIrliTgWT8jiLXwfoHiuIP4+jM6IyRUxF0oHYwvWswVLf9lDAsWzONGYjiOMwxcu+GlBCVxBQqw1H7skLDOMqMoOABCHceKimQohJpe/oGQtDoowX6bEklADV/c1uwsAWKxlWdguZ6dgYMwkYVSlQhjn0VcjTugVbXYKWNnlh8syQq2QUGJ6WU3x9dIWfOD8r0akJevmPD7ldoy5SC9gEbSE1KT7zn+jp5gYAqA8hOPGLSqOJ+AHqN58KrkphD3L5c3RHAc+DqTLRtykvKtYXP78Y8j0i9DqNdw52t4p0vNn6tYdCgAo8pbH8xQAeuppzHfQD5Ck5x614imWTytKetz3pm5TXgDGf5ETbg8CWIHNnCBDfkXe+wbGDKcfnM4AI4JO0PesPylqgrA5bwFaw+PPq/OioaF5yBAapdbhBV5e9fuFc4xM47iyvQfdN8pVdr3qYr5k65wvbvTbD1Ew3ygXfCM5Tjj+dBvieYIkFgIAivTcoVZ8k4WFecp3M4Xi2Rwu68ENRw9ihPSnuXpNtHuQ0X65Zj89Scu0x0ND88RAKyloaGgeDtRI686q87anUktq9hbMuqSQto7TnwxSgISSDZG9b2geARxdWtMUoJSt2zdGaKlEacHGNlzvMvZZS9YJZ697cE2LUt1nnznGCONvkpf8rGB9QDpeXFFa1fFValVrMaU8ougifEFKUGJ6yYF9eXxwdLYc/YXeNh17EvGyivfvyhXEzXn8/N41F08cVZudPh9wBsbbkFtSViiZY1pHjmoVijbDiD+CHYMlytqy/a3ZmBoOTfmb6unAdI4LVQUXAACTfaCp2AAAYDwtn93J9PY3FB4x+hLymhsK5QAAM/tyRPue0lYbO/+sslgQMG8mrVqFos0wE0LPl9XSYFdB37PJxZ/W8A0Np9SDftd2jJstf7dsyyPl2E1DQ+NnRKsbpSB+U9FcDYUPxM/bIlafMNv6zM6t3NmdBsplVLeoLpod/jBNKEGYvfWdktzFhEtYcJSbwdnX2qRsN/njH6PE1KL39ubY6gqacU5B86fFgUaOlKO7VaHSzgbawLiZW4p3bk1l3ldVxYMYIamxHkXLP+mG3TO3yd46WBJpnyemL9enpajt+JkOq8c7nVuBtHj/21LeEjVMNDR/NdBKChoamocDEmblpegbBsyK3fIOofgFHhNRnusW3OKiADBx4Tt5iQsnQvPwcF8etAMgSXZWZNsQJClXd5UHXxvX1+49ZZwAlMDPFItYcbedX165PNqjqLLayo9XhRwD5aVw5UFdH4g3StfG3b72+SXLeH/ToY8g/+tPlfjKdeky3irqhsU0RDi6W6oYq1V7Q+KMUg5dXZPKsoKfKhOx0ZTr6udm28D5atv1qsaD2QGvIgdbdh7WOijAuOJMERt5Pdc+N1u6lDu/sNU07vMdE7OK/4pMevMm3oO7ANjibDEbARI9E7bgbHGOFJtyDHRbPQy2OEu8hgGQOJ9tjGfgVEWd3kEBlpSaKWJjvkaxkgAAIABJREFU3lvX8EuWgfPVVmvZh/V5ScF3U4SmtrWDYIuzpGuxu84vLpnGCIPiEPnN5rrNj7BtNw3NXyu2QdwJwEzLmseVA8up7cwJvkTZNQcqFcMkxLFFGeLnWUDesJiGrbrm8qvXq8/sSI1JTxHNKOfDqa0pazZ7ADGTU9O+w0ZTrquDZkXNCSr77pxUKUtr5X61lQTEWZ/+0rOrwO0YGLIaW2tGrKUNtblLPwjMx4MYIanR83uqWi0k/P/s3X9cG3WeOP6XZp1edFjsYG1SlkBtaC2lbkNrIwiCsMWN4mYPj35w6YcePTl6RbC19Bd1+2st/UV/WKQLV77lyldWTk7O2Gi2IBUEwWBL2AKpkNQ2YWnSQ6ayjLIdL/r5I/wISQgJJDTV1/PhHzZMZt4zeb9f8573vH8QcxdHLRNSnEFd+0XFG7+HxMVgy8U7l/o/fq/46JYgLOYp3ixG36b8y03thyc2sz42NymEkH3YSIEQukM4AZJdBYHyijPvfdx2pcVonpeWQwp+GRGX+M9JT8zF9w1ezaTV9gBwAkJCXKpx3ZQdPdXwFfCe3Ji3ffSdEqs/d2jzH5tq3zwREnJgXOOUqU3RFrHj1O/jzB8yV4o3b6+8XldQTIpffnP/88Odom99diJr33njJ+cb/jVCYvlKkG0rL6HEG47tlo6MKRq6Ktu/q+DzpoKC82Gvj8yUMdBUcPSc3kRFvXxwx/MBI4nqURzZfvSTuqOnxKG7YmYDzH4ydfOToC29ur6iR/jMhh0OBlFzFkhf2QhDdXs/vdIAC6SvbpxkTopbdSePndez5LKXDu5JGnlBarrZ8Ma2A+fbig+XLSlItexzAVfPKxa/ePJM6sj7T1r55vad53qUlee0z4zrnYEQ8gKs7vpNAGLhkhCX7mva8kPFf2GIgGd27N8YNfIUzFx5e8/usrZzR44uKd39tNPh17koBwBw4938f2+5xaGiXj6449mA0chZuW97cZX1qlvsX0ryKq4wvsvS9u5MGe2m8FXT0e2HFJ+XnJStzE90R7OpJyKk6Wr50TI1Qwie2Zb3SgRv+OtMW8n23Mo6mxVhXb5zyT5dlnHizaSRO4/xoz9kHWm69fF/KVIikvAFDEJOuPdOJwAh9BPGoUKkG/JLKz985z/OFP/7mdLy996rPHN4Wwq2UHg/9lt6CIDj59LMIexf3q3sYOGhZ7K2WPZ6JQTPb8r5FQVDbZXvXRn/DUKcuilutEpHLl79bAgAQMAzac+OtRHMfuIFSRAAq9PfsD4i+WT6DqnFrCfcBdIt6VG+wLS+++H14c/08j/V3gLes1vG6u4AQARIXsmMmw3MZ+9/dNOFc5wC/bk/NQwA+WTmziSLLtycuVEvb5MGAHv1XOWn458NOAEpWakWPbQp8f/9XRQX4KZa5cbVmhBC7nGLHmABCIpypUmXaSqX9wAnIGnrWAsFAJCLX9z5LytJYBoqz+md3pnzUU597lwbC7OffmXzswGWkTNp80ti66ko6NqK80YTGfeyRQsFADwUkbXxeR6HbfvwnNYE0+eJCMl+/l8fXgeY93zOy6MtFABALkvblmIzYfcU7lzLUrYkWdx5eL/619WLAUxX29RTWV4doZ8gbKRACN15hO9cQVCAYB410VIsyOuwt8EEAD8jXHlvr/2sxQggePp5m8ouKZY8zQMwfv7puEqtTU+NB35+PwEAvADeuOM+QJEA8A0zZLPbOJu+tb4Rv36cBFOPstVcK7+p/PwqcAIkCcuscx+5InIZCaar6nab92rudFP5eQ8AFSWJsG7wIRZLf7UAgFEq1eNSMHvZkiCrpAYI5gIAzQx4MqUIoalgwQQABOHKDY7taFAxAAufkSy0/tPsp54T+wJc/1xp0yw7AeejXI+q9SYA9ZTEZizJQ0/Gho3/NnO5sYOFh56WPGm9LbH4yaiHAG6oO93QbOqRCKltvXwLQPj0M9adWzgBcb+yHu7h+p1rruiXVlM1zQ2eTwGwg3/7xuHJIoSG4XAPhBBCruP6EBwA07fMEICzNW9G13MLgAhebG+gRFBIMPGu8ase3RAIx2q89qv1dj4b7sFr9eFc4XzbbYmFCwPgoyuGHgPAXDDp9D0Apm9UlSeM1g0ut2ktC8AavroJ4LEV8kw6/Q0AjiBkoZ3T4i0MmQ1Xb/X20LBybDY3grB+JuAQ5tYi1h3vLRFCbvUAwQUAhmFY58Ml3dPDAPAWhtiZxpErDAmC2r/06HsBnBk74HyUM/XobwJwhMIg272QwQvmwqc9Yx/c0OpMAN+0VR47UWu1W9Og5u8AJtpIA0xzwIdHIiSju0EDkIEL7QR2XpBwNly5NfbBFO5cJGGzAApxn/l0JjhNhNB42EiBEELIdZy5vIcAbhj0NwCcWRgYAIBlh1gAirTbYYb4GckFYFjmOzem0sfeUnlw3z/4EADfsSwAgOlbhgUAuu2j820T7IX1aEcKcwI495N2e4KTpA8Hbg1949EkIIQ8ieLxSPiL+VnX2Ud2ZogFAHKiuMAlAFhmyLlWD+ejnIllTQCcn9mNnNbP/gxz2wQw1KP8qMfO1gAA37HWvdtc55EIybJDAEDYPU0gCR8O3Bq38QzfuRBC2EiBEEJoCjgBIYtIuHFT9XkP2H2/BAAAtzrOf3SFIYIipY/PBSAILjHh60TT/zIsAIcg73NjKgcZBsBm1gzmm0EW4AEuAQDAuZ8gAEzLMgo2RtmtsALM+rknl8wwJ2DoW4ax19wzxAyaALgP4EAohO5eCx8VEufb9K0tt5Kfn3Aan5stsk962AdCfvXs4tkAJJcAAIaxO4UBwwyxACTp5AAS56Mc536SC8B8S//NXuQcoMf9m0vOAoCgF/Jfe543wbg/0maxZ5d5JEISjvq2MMygyWrjGb5zIYRwTgqEEEJTQYijVswG0J7/k3LCicBuflRyqrikrOGGufpGBgbMBmA13fZeu11Va1iAhwL4E9Shp8LUo75m+4JtOAH8eXwAAA5fMBcA+hnTXN48+//N9uiScRy+cB6ASa/utvMu0NitvQVA+gdQtn9DCN0lZofHiLjAdpx758qEr/y150oKSkrKL940h0sqIIAEMF5VG203ZbXa6wCcuQKBc4d3PspxAgXzAEzatnbbsH6z88r4OYTnBQQSALeY23Mn3K0b5pnySIQkA+fNnehmZLyqv2W18QzfuRBC2EiBEEJoaognfvfbBQR8VZf/Rp3R3jhb47lT5VdYIJdJnhquQAofXzYbQP/x+TbrPsCssvpjowl4y1eEuHMFTVZV/fEtq89uffznzxngBIjDzP0jAsSPB4Cpp7a6zaYKzKg/fLf2Lz2MzdmxrowAmWyeiADR4wEAdIOiyfqxwHRV8dEVAFIsdm3lQoSQd5n9dEr8XDD1VB4tUdqb3ZbtfvukfHh6SHNzAREqFpEAV84rrlpvfOuT8w0DAAFPip1dzNL5KDc36snFBDDKiirt+E2Z1ncrrZaw8F22ciEBA5/++VObFo2hq7VV55VXaXeMU/NIhBSGLbZ/MzJdrf34ivXGM33nQghhIwVCCKGp4QQkbU4O4cKtTw5lvVZS223RE3jgam3Jq1l/bGGAFP/LhriRbsNE2AurQwm4eS7/jTrjWO2VNZ4/VHCeBu6ypMRl7k0j83lJftXVsUMNXa08XKJkgAx74dmg4c+Ez78gJsH44ZED53osqtSs/vzx3W+WHNh9qtainYP0JQHA2NFmt11mHOJ+kgvAftHWOsmac8LnfxflC8ynpw/ILJJqopV/PFR5HYig55NsJs9HCN1ViJDUjUkBBPSc27vxD+Wf9IwFBROt/vBE9o4y9RDM/lXmusdHHrfJiBRJAJh6Kg+fUlpOkHD13fx/b2KAjEp+xsmOFOBKlOMlpErmAXv17R07Smo7bjIssAM32z48kbP//G3rTmVz45IiZgPT8Mf95VcsopyJbvjjoQPFJ3YelU8eJ51KvPsjJPH4Pz0bBHDzXP6blo3sTFvJ8XKbVqGZv3MhhHBOCoQQQlNELHgxb9d3uQffVre+e6D13YKH5vLmkDBwS3+TZk0AHGpZ2ms7nrWc0CEgafMG9ZYTDR8fWqd+X7xcyLuPNXZ/rrxCsxwq6uWNUmdfDDqHs0Ca5Fdb/GrKxyueWMwn/t7T2dKmvcXCQxFZWc+MDbh+6JmcV9qyjtQ1vPmvKtkycUgA9Q8jqQJyWeoGqcWwat4TTy8rv9LWUbIu5bxgDj9u496kBRMdfVlczFyF7KZiX5oqYC619Hd5L9ush2o2Oyb7lTbdwfPKU6+mfLTsicUB5Hf9mramthss+C7L2pEsxHd0CN3tyGUZB7exOw/JrjeV7m8qf2Mubx5FsrT+xk2GBQCC9+RLea9YrrJJCFO3ZXRvL/7LuZ1pLcueWBk8G5gb6s8+v3rLRAie3bL5aVeGODgf5bjLMvZtZHadqu1498Dmd0d3MPupjTkB53aWj2tyJZ/I3JnYk1vVVroxRRG6QjTfjzD16y5dbLvJAndBSlaywInYpa3anvSh7cf3+T29reilxQCeiZCcBSmbU1U7ytQfHVrX/n7UciHFGdS3XVTeeECS8bym5Jx23NYze+dCCGEjBUIIoekgw1JPFj8mK/9P2cdt+q9uar+6CQBAkILHn0lKTpYstnkqn/fM7jfmlheXVH56peHD4V615IKItJcyk8LcPvECwXtmSx55JK+sSdE98snjL2ZlpYrHT4U5+6ltRXNCiosraq+01fYMz39PBqxMSt2Q8tT4Tec9v2cvc/RERUNPj/ZWD6mmkxZMlGxiWcYfdnx/vOj8FeN1xsi0af8tYtkElenZT248eXhBcXFF7ZUWRXcLAACHFDzxQsYG66QihO5WD0VkFfz7yqr/qPywqe3mTX23eYoHYvbCFc8m/nPK0wHWYxaIBUmvv8krP1Uqa2n7+Fzb8NaLJSnpGc/bxtZJOB/liIBndhQvk3x0vvbiFQM9yHIDlkT8ZvWziwcrztnslVyWcexkUElR+fm2jiZFBwAAcAhe2PMpL70kWeDcIAyGvmW3t9k3t8cS74EISSx8Mf8wVXyqTNFxpdZ8MyIXSF7dliVszLbdekbvXAghuOeHH35w8OeeXqPJZHrwwZ/PWII84euv/3bvvffOfXj6UwwjhNCPzcDAIAD4+vpMe08sc+OmcYABLuXUfGlDtP66nmZnUf4LBA+5e8oFU1tB6g7ZrcUZpceS5gIM0fqrehp8eAEBPF9Hx2IHevQ9/Sz4kLwAx6livrpJs/fx5lGTJ51ljDdvwewAnhNPFeytHn1vP8vxoQIWOLM9QmjGuC9aAnurR9/HAIf0mxsw+dS8JsZ4vYdmgKDmCgKciDmOD+10lLOiLf3X9RU9guQ3z6TZ6T/G3Liq7xsErh81z6lYNzWeiJDsVz3a3n4g/PgLAmbf2TsXQj8BAwODHM7wjBN+1IMTbYY9KRBCCLkFQc4LEDrf65VLCRZTzo+pnhYuJQh16liEb4DQd8IVVS2RD811toZMkLwAp7edHSCc7VQCEEJ3L2J2gHDCxUhtcEjegsU8dx16sijH9rSo2GVi634QtObqTQCgKPvpJuctCPH8qAdPREjioYCQh5ze50zeuRD6CcOJMxFCCCGEEELAdpRlb9i9c+f+Ssu5MIHRyt448zkLxGLx4zi6ASHkcdiTAiGEEEIIIQTE4qelYeePftZSvDFFtnjZEsFsgr2lU7epb7IA5LLUTJwkEiE0A7CRAiGE0I/PLNKXIk0+JK6LgRBCzuMESHYVBMorzrz3cduVFqN5jkgOKfhlRFziPyc9MRenYUAIzQCcOBMhhH7S3DgVHEII/Yj91KIlO3DTeIsF4gHqIWryuZARQsgJOHEmQgghhBBCaCoI37kC3zudCITQTxJOnIkQQgghhBBCCCGvgI0UCCGEEEIIIYQQ8grYSIEQQgghhBBCCCGvgI0UCCGEEEIIIYQQ8grYSIEQQgghhBBCCCGvgI0UCCGEEEIIIYQQ8grYSIEQQgghhBBCCCGv8DPHf2a/+w5+gK+//tvMpMZDTKbvTabvBwYG73RCEELI6/z99m0AgIE7nQ6EEPJuGC0RQmia/n779r333MPl/oPjzSZppDC755573JGkO+oe4HCw2whCCFm79557ADBCIoTQJDBaIoTQNN3rXMPCJI0UxH33ff/99w/5PeiOJN0xX/V/fe+99/pRd/dZIISQJ/TTXwMARkiEEHIMoyVCCE2TOZBOChuDEUIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJe4WczcZC/fdlS1/T5l0b6m+98Hlrw6PLo2BVziZk48HSx1xqrlAbgiRJjhCMJplvltd3MhF8hBFGJETzz/xuaKuv1E++dFMYniCjLA03Ib3lCbDDpYuoBAFha3VKnVGl6+wdNhM+cwCVLxRERQopjs52dMx0xoG9uaGjt0vUPsMD14wuXhMdEhs5x4gdk1DXyzv6J/x4YlRTu7+IJeZaxubJBB/zwxMhAm0s0xt55EaQf31+4aImAuity9mR0VTu3lHQSMdknt8ZSdzoxyGtNHrikscHcmUuPXeZEEvOjEsW8O5OCAXWNorOfXBKfEOJ6aTLfcYiFcdKwOcMfme8sfo9JVoVM5a7gxOEAeOLEGIHjYDby649L2x02oCzMOVBFB6/9w/7UEO+JxXSrrLZ7aMr3cRd4Mm+g6bkrakTmRFrUTmfcdArLDEfLkUo+IYiWivkOKo0w9ut7Udn00mg5fFX5EUnRAs8eyNGDD/IOnm6kYHtqTu4r/qRnaPST5j+//9bZJau371jzy9kePvi0sZ2ywmIVrMiKjxEOx2uTsbm8uMI44VeIOP5oI0X3hdLCWnbCTXnSUInI3F4wfKCJcITpES7Ha1Z/ofBQUZWatvxQXllKzBElbticHsOzLJN2zhQAgOmoyN9X2miwPIlqWVkJFZa0eXea2LaxYxxa9XZJqcY00Z+JaJ4X3JItmbQ1JcU1IPaTRAY6uNoOzovLC5ekpKdJplUTZYyaa/Rtkhc63/OVBPvHMjbXKg1DALWftGfFRt/ph0zktSYLXKJN8V7QSNEpKyxWkfGCO9ZIYY4YvKTlkpBJYqat4TsOlbhorNptvrMEp4ndX9kdvcFx2/xE+1f5OtiUqS/JK2xiAcal7Q77olGuZVhQVSv1qSHCGT88o2vXD3LIoBDBuB/GpKsvL66iQzJjPN5IMc28wfZpu43sLJ4w2Jn3EF5hgmvuhe6KGtFIsBqtnc606RSWGY6WY5V8Ssd7a1uEoyJjUBQdLFazAB5KyVTc4WgJ9DX1DYbwEwr54ysJ3TWlhXUQTkmjJ2knn64JHnyc/jpGS8/zbCPFNxeLf1/wiREeCPn1/3kh9jEBCfTVpvfffu/Tznd+/zpReHh1wB0Jgm5AhiWmRPvbyZeEv3VRp8Qpa1fay//c4HlWp+8fmZ4ospd1fJa6WIAYdemWbeUdDAApCI+Pe0IY6EcMGvTajoba+muqir3rdfTJ1xMdBwBWU5bzSqmWJXhhUmnCSiHfbxb0GztaFG8rVK3le7OH9hdl2U3teBxhQoYk2N4PzQ927aS8i+V5mVhmwHi9S9Ws0jdXHb3UpNx0KDdhyuG1szxnu4JekSU7IvV4K4X9Y/ES1mfoKjuJ8HXhd/oJE90FJgxcfsvvljshsjKkqqo2rkqauFnHqKi6OHET/J2yImV78mANHZwovQN1bhhqOZ2TVw+Rr3+4J/rurNvoZHn/Vq4PTjtzJtXDLzHd5a675j/WGtFPGl33QWNmROyEtzuTVi5Xe124vLPREui649nH26nEY+9sEt2J408bRssZ4NFGipt/frvGaCIWvLj/4JpHzE9sAYGP/HLFgkNZBz7+4r//pPyt46ZHL0YERSYlOleu/ELiEhOdy8F8UUKiO55LBxqP7SnvYICKyMjfkTSuNTotraNi785iVXPxnrOPFqU76OLVp3izXMtyBMkHT2aOPYCEhEbEJkQXr99eqZMVVyUUpc6fLDEc3hOJ0rulPLjA3nmx+sbTh/Ir1I2HcovnFWWF3bVPaOTSpG1Lk+50KtBdwl2BC3kRtkOu0CSm2X2aAgCNXNHhdZVuAA4vOmNP9J1OBUIT+rHWiH7amIvvVRtjEydo1GVVMrmDod93CkZL5PU82UjBfqnVAXAe+fWvHxn3KPzz8Ocj5n78/k3tF3+FiEc8mICfKLajvKimD4hFafm7k4KtWyHI0OTdu43rX5HpK0prXzgimejRgr2s6mCBWJG01uYVKSlKWRvV8OZFulvDwHx3PIizDM2wBJciuQAmRteluTE4K0gUwh+XeJbW62/0D4IPP2g+j7SdVmOAZkwESZHWZ8wwNMva+wPAEK27Zuw3EXyBkO+oY7OzCEFkZj5FZOeUaWXHyuPeygixs9EQrbtmHDQRfgIB33d8mkwsM8CwA4MsANxmBmkaAIYvy3gsrdf19t8m/OYJBJTDzg4srdf1MrcJ0npLx8ey/EVsdsn06q//zyD48IMEPDtXddx3zb8aO+tBXuD8H8d8HWiaJinIY0yM4Zq+fwhmUYJAfzsZbXSHTK/++v+wsx7k8QWUox0CAACj117vZ+FB3sJJMuRk+Xz8Kel6+29zfPwEQr7zEdFcBoEgfUnCux5aCJLLMnqFXJWyaYW9M2dV8mr98GZDdv4OAMAyBr2+fxBmPWzv5zOf+0hcZvv03X/th/v95s23N60Pw9AsDF8lE2PQ6g3fgh9fEMizc62tbwS2BzL2A8EPEjrKeyM/qN88oYAirHdiF0PT7NAgawLgfDfYR9MEwETbj9x3/PwFgY7yoGsZe0J2r94vhIFWXZSHGHqI/YphAYBl+mmaBLs506JUBvtPcv3ZPm23rp/1WxI2n7T6EzBGjd5w2+TjN99hkXF4OBeu+d3K7dHShcqDeeNu3cQF02JD56PlSBUIfHg2mdAhZoBmTfZrRHcWwSXYIXWVQpuYZrdLAlP/fgM9vNkELbtujJauVMDuVLRkGZphjeZgM0jT5uqn/S+YM/YgzHrYfsCxToZzGXvivTh39TBazhRPNlJw7gMAAOI+m8w9y/wX76qW/VgMtVRVGwF4CZm2LRRmZFiyNFRe3HG5sWlAkjDBwznLfscCTFB1Jle99tYqdyUYgFbslZ5Q8ZNPvhFSu++EooNmgSNMP1M03IVqSF9fXnxartQNjHyBywtLWLf9pdixVgyTqjB9SxUdkvnWyeTxjdn1R1e/VgfhO947HG9xORh1VcHJs3Va2nzL4JCh0pxdL7njZLghazdIal6V6RTvNaeGjBsuQasqThWfrdMyw6NSCf5SSWpmWsKikWiiKkjZohieRKS9dM0LpQDATy56J2Pszsd0yQoLy6vbhxMOHCo0LilzQ1Koze9ovSVBBkckvbwhZXispsNjmX8RUrJfsVVssUtWV118rFTRahy50XJ54QnrMtNiAy1Oc/TXPBPTeTCvtF4/cnx/8dqNm1NX4Bv3nypnCrKZydhcVlBYpdSNTFFM8EQJqRmZEqvZrVhdbWlhiax5NEOSguikjFdT7E+XwxobC/fkV3UN75SgQuJTszOlQpubvlP53IxRywoLy6vVo+WRDBRLM7PSwied/mJIW7Erp/AiQ0VkndwtdTRT78zjCBOkUFWhrv6gMX2FnT7MTJOsug+IEGkCp7Ki3ebPfcqy4tJ3G0aiq/lSp2VvSrD4+fSV2emlmkUZ7xwSNZ/IK6wdCRP2skT90dWv1REJ+99Jh9K9RytbR+ZZIoWxa7Ozk5daJND2RjB6oD8Iaw4fPasc+VFJwarUnFeTrEeHs9cuFBYUyVX02GYZe7YvaRjeSWES3+4VMzUefHFPvfk7JuWhF1cDAITYbG+im0sOHKwc3TvBj0jZvjUlzDp6u5axHRu5em8lDxTvPaXQjGZ/kfTVrRnRIxlVV5G9pmz4ba+ucou0EgDIhIPvbRu9A9iWSn9RYlpWepzFyEbz9R8Q73orbfBUXmGdngUg4vbUvhY59qd3sojyvGNVatp8H+SQwZKM3VmSwEmDgNXhnLzmdyn3R0sXKg/mBMgL9hyvHr1/88IS1r2aEWv9M7kSLYFWVRQUn20YrQIBKYxdu2F98uRzdDIdJTmvlGtZ/9jX83O9bJ4sYrlUeqOyUqdQtKZkhdnWuvtq5UoGSHFinKFCZtOhwt3RcrQC9laCsXDPySotY7nbzASL+92dipZAy3etPj48mRVT8/rqGgAgxLve3b9q3AFYQ23xvgJZx0gRIOfHpm/LTlxk8/jtUsZ2yMnqK0bLGePRRooFv3yU+Fj1RZPy1q9/bTFJJvtlo/ImwOwlj/3Cg0f/yepUXhoAEMQlOBjKwUv640eTdOYnHxEGcpQ6lextdVT6zEzzc618Z5VSwxWERQh8wG94Kp0hdVlOzmk1CwQVGiUO9SdZWnupSdVambeeJkpfi5zKIy+jKszeWXGNBZIXFiUKIqH/S1VzVd5OjvQhd5wH8ZhklUBWpm/7rBPCV4x8arywb1NejRGAEoaLgvnE7eudLa3tskPZKt3+k5krSACAh0XxEug3qmpURiAF0RFLfDhAWURkRlmwfpdMxwIpEEUv4c0y0V0XlR3Vxf92WfP6ydxoi7nrxrb0F4U/JvCD/u6LLR11pa90anYV7lk1Z/Jj2V614VoChwwUrVwq8IMBfbtS1VyZ135Zd+R4WqhVvaGvdt822SVuSLQk2A+M7Uqlpld5etceovBk8qRDhNCPj/MF2aSv2p59/CIDBBUsXrZn/6keAAAgAElEQVSIN+t2b2ezSlV1OLvbmP9G2mhcYztKc7aUqRkg+KLI5f4+QOuaLqrrS3e2q7NO7rd57B9qK8yVVRmpsJioIF8Y1KuaVWr5iewuY/7JDMsA50I+p5uOZu9V6Fgg54ujl/B8TP3dqpaOpvKtnepNx48kOsjnrL7K3EIhzjq5W2pT77/z+HG/DZer65sU1X2xidaTYtLV77cwQEZL4/h/rrT+pl62NbugeQCAEoaLlwSSwPR2NinV8qM5/aaiw9LxjTcmuv5EbmEdG7gidrnAh+3TNCnVrZV567T9RUeSrH7B29rynRWV3WRItCTYjzNouNzSrL1QmKM27C7aFDHZHYrVV/y+tErPC4uTBJG3DZdbmq/pa07lMtyiwwljSWK7yl/JKe1ggOCFRIuC/TiD1y+31JzIgdSoyYa28MLiJT5DuqZaNc3hhcWJ5nEA/AU+4xPRXZ57utrIF8VG+PtAX2eTUmtoKt3ye+LMccuTdTFjO2ew5eQWeePtReKEYB4MaC41qQ2qyte2wR+LMsxZ2kcYlSAx3FBdaDUC8ESrRLxZQCx5eOT7FqUyNGLZQmpWv07V3K6qeD27ozf/jdTxz8OmwfoTufVNDH+RaOHDBFjOymxiO0py5dV04IrYGN6sQb2qWWXUyI9msz7lOyItHp+cOZwz1/zu5P5o6ULlAQDA1N9ckFtWywSuiF3u78PSmktKdWtV3vpr/UUHkyzilSu1gl7Fa5uO1vcBMUcYLVrixx00fNF2qetC4RZ199b8XfEOmnWZjtLcLeValhe7Kz83+g5Nf+wAMV+SGCI73l4rb0oLi7GORTqFopUFKv430b7FFVZ/81i0BEZVmFta1ccz3+/6zfe7o9ldxvyilyZbycPj0ZIIWilJmGNsr1PpWOCLYpfzZgFHaNV1+nZb8Zbq2sH54lVRPJ8h/SWlSnftwvFt3/ic3r/Kbl3XmYztpMmqrxgtZ4xH56SYHbvm2XOd77WU7DwB2WtjH51NAHvj4rvFBW//FR5YsSZZ5H1Vs7uf4ZqOBiAfDZloLLGzFknXRin21WnLNq3vkCQlS+PC3TKyY2IGpSpQkvvOxnGtwgZ50Vk1C7zIbZZTUfbKtq4vaK47825yZLrLM/6wrcVHK66xxKKkI3kZYSMBwVB3dMuBymYWYPq5kiMIfZQEPd19zQgrzDHdWHU0v8ZIBEpyjoydIKOp2JtdrKo4XBx+dnMYF0AQm7k1FpRHL6kU9KPSV3eMH+c/0HjssExnoqI35u+SjlwLVi8/kHOo7sLBgieW7htZLnTgwsEDMh1Lhr2Utz9l5AFsSFu1K+f4xcZjpxrDd0eSjo9lg1EW7yvXslxh6r789BUjOYFWFW7bWdFVvq942Vsbx5VnQ62CSNhfuXHk1R+jPp2TU9alfrtCmbhDjCX/p8b5gqwpyyu8yBACyfa8rFUjkxPTTQXZe2Ud5ScrYobnwWFVxfvK1YyvKD1vd+poI0Nf46GcPLmy+FiV+I3xkz4yDZXy+dLDZ7PCR2ottLIgZ5dMU5l3euWZTSOZ14V8Tl84dlihY8mwjPz9ySOvp0zG+qM5+xSqwrzSpUUTTOjA6qt25Ry/yFArsk7u88YWCgAA38jEGKperpIr9IlWs4JdU8gvs0DFPRdFGf5s9TWmpqS0eQDIFRkn9yWNLuxC1+Wl7b3QXF7ZmpAVZnlNuioLe0PSj+eljvSGYHsvHMzJq1GVHqwQ/zFFMG7PpeX8uNy3to7Fz47S3C1l6qqjJ594LDfc8d1Jq5CHpPzxrbSRd2t084mcrTJ9c4VMI8kYmf9Ye/ZQaQdDBEpyj2yOHFlQkGktztlSKpuk2s0RJm7eDEMXXmtQ14MwcetmO5MOmLQ1DaL0k/mj2ZVpL87OqdS0V1aopNtGhtW4mrGdw9TL1au2ntkeP7yqF3tN9lp2QbNeVlaXclhCAgAVlbYtCjQl2nXl+mBJ1q7xP7qmPK/wIkMsSno9LyN85FbBqIq37KzsKMs7Kz6TvsjyTNX1naL0Qov0j/1JVdUgyiwsSh6pqBuq96w/0EjXviNPjUweWdvCqcM5c83vTm6Pli5UHsyMF8oGQlKPFKWPjvbtvbBvW16NqnRvhXh0mkBXagXGqkMF9X3Aj9p85LXR98CsTpaXXdBYc+Jo6JIjifZXNmE7ynK3lKkZXuyu47mrvK+FAgCAw4tPWHm6vbH+g1o6ZnxVyqSuUmiBI0hIEPk0WX3Nc9ESDPJS+Xzp4beyRouPOVdoKvJOi89kLnV41/F0tAQyLHlzGNBVhtXH26nw/5trd+LMVoUyemPRWHallYeyd8p7lWdl2lUvjRQAVzO2cyatvmK0nDGeXd2DeHTd4dep06f/888FW/9cQBAEy7IAxNxf/mPOyylPeWe0cQ7TXLLT8KDNxxzBP27OCB/fxchQXbC1yzYi3Bf6T7mpVs00GtnBnS22ByOXp+1KHCmTXbJ95SrbEBCatCd5KQAAQ9MA4DfHz8kzmRi1akc++OYdk2tbZQWtsgJijnC5SPREeFxMhNCF2QVM6rM7d35gUx78IjO2ScbXff2l2zfHWq01zU/Kr1zS0sVdGW65WIa/5DlxaXOtUaNhwLaztmMDtRW1RiCEa3PHWigAgB+Ttb1d9W9VE68u6wLioTkUADNIj3S9aq+suMiCMG3/uBMkg5N3ZF5ac+hibVVDRlj8JCeik71VQwNfumMsFgMAIUjYnN16eU9N03vVxlhznz2d7J36ASCjsnenWIQ9rjBxa0bHtspuQ2e3KTLMtQhFV/9nrQGI0LQ9Y3URAKBEmXvSOtYVdyj+VJ0iSrBstJ4jeTXLonMyGbI2LU6+XUF3tulM4um2oCGvYj9wPfBEam7iyM3Y2YLMNL4t07IcQWru5lUWdVYqImN7kuZgA9PdaYT5PAC6+k8Kg4lctXH8rX1O5KYc6aVNla1ymSYxY1w24wgSczLCLbIoJc7andy5pkxb/V+N6SLzoAYX8rlO9tZwKUu2iEEcXvTG3MTO7Aqt7O2GpF02b9XApJfvzTmupKkVGSf3e7KFYkhVdljWbbPeoc/yddukzkzkTIQlSAIV5RqFrCMlK9TiSnbIFRoTBMZLw7lQZf0tctXut4KUbbAk0nLpWSrqt/G8CxV9nd1GCBv3KEKEpuamWozXIPxjt29WdWxRdMhkrcnj6+hzJNs3WzZhk6FpuemqdcfbGytq6XDHrawcwdpNaRa9f6nwtDXR1Xn1xs5LfRDMAwBgm96pugYgkG7fGGkZpcNeyk1XrS/smv40oURY2mbL7EouTUuPUWytptvb9bDCfIt3PWM7h4xa92r82LrjxHxpeoKsuULf3t4JErGjbwLAUOPbVVqWK9q0Z6wSDACkKGN7impNiVYuU67datn0TIRn7LBT5wYAIMJSdyRbvErkx69/UdZYqNa2djLJ5nHULh/uruJEjcjd0dKFysPo30JTc9It5yPzj92+ubPjVZlGVtmcvDmcAJeiJauqrGhnYY5k0w7LnupEoDRne5d6q0JVUaVOzLKdw4vVlOdsKVUzvMhd+R5toaDri0/W9Np8POepzKxYZ/rDk1GSmOJGuUoh10stn1iZpveqjUCESBIWEax1I4UnoyVHkLwty7L4UBFZu5NU68r18qqWtUsjHVU3vSJaAhm1frtldqXEmcni6qNKnbqThuEVQ13P2M6ZTvUVo6VbebaRAti/tjRebNN9AwBAwH33ESzLAntT+/mnjcuXviiaPdn3vRZrUCsNth9zBsM2gFUjBdOraraNfUCA7aS6A/rmJjtTAJO+vwEYaaTo72xuaGSsNyEgergPwG0TAADBcUeeJASrNhZFJyrlckVNU1tHr7a5WttcXXmcCklMXZ8udW4QiInWKJUam4/5/ilWn5CPLgu1U/gJKiQy3PpDFkwAwA4yDIBrjRTsZWX7EIBIkmBdUSdC4+MCZeU6l3Y3AfNcHqxpOFJrmpQGgLAEiU1PXSomesmhi6r2tk6Id1xTNDYrtcARJEhtOiCRK6NFZE2ttuMyCzxieEugYn5jMxZmjmTXGclUzmdA+VknC1xxom2fTH/Jc6LSDmXnJxeZBInF7XOJKHR8QolHhEEcoBnmKwBcau1HxX7gIsnnIHHsn04VZPbyJ80DAEulLyyy2pIIfenkW6OzxjBtn1xmYY4kIcq6+BMhUdFzKit6O9tHqlPDBFEJi6yLTqAkLrRc23H5s3Y2NpxwKZ8bm5V6ACrmOZtSRoQkxgsrSrTNzZ1szPjKAWuUH8g51ESTKzLy9yV5tg+FydjR0Nhs00hB+UoBnFttapEkYVFlobq2qikjNGokrUONVbVG4IQkJAgBaDvf4pDBEZHWH7K3WQAAdtDq1kUsec7mUhMiSbS/osKouqSFMItswI+ShFmPRefFS0SF7cqOljZGOvH6fwBAiUKtRt+QgkAegJ4eHADgAQB0XGpjAILjJFaBCziC+HhhYZfawe6dwuEtF1mdLBE0XwCgHhwYHP5gChnbOQuXLbPaY6BQQICeHfhm0u6D7GVl8wCQMdIEm+MGRkUFl2o1nepxdXeOIGzJBG1GHN5y6wkIeAsfoUBNDw6MBgEXD3d3capG5NZo6ULlYQRnyao4mxrS8DhWVasWwkNcqxV0NysNAIFxUptFzcnwhDi+otKgbNBsGN//18RqKnZml6iZOZG78vesst/Pwl0Yg6qxvsvmY0HgWpNz0+dxxYnxAnmFVi5Xp24YbW2h695vZIAIT4jjA9ipW3osWsL8uHjrXAHBEkloRXGHStluigx3cFLeEC0BFi63DllksIDPUeq+pgcBKICpZGznTKf6itHSvTy7BOnHB3ceUt4iHlmVuW71M6K5BAD87ctP33/r9DvNZ/f1MHtPpD92l7bvUKs25734qO3nJN9mBFSgdM9u2+wDQNqWnEUpb+RE2Y4RInwt7haPrTtZtNrO3kZ6+vlwCQBgGJt2jKkiBOLEDeLEDcD0qi81NdTX1tZ3qatOZDer9xTtcGJKCEKUeTxjuc25EpRNRdlBXhgyalTq9ms6Xa/OYDTe0Ol19BRbavv1RgaALwy2k/L5wUEcezcS1w0yDACQXHOMZa5fowHAUF90qGuW9aZGAwDQffQkzS0mnU4PYGIuVRw1WIeb2/0aFoC90WcEEAxvyQlcMsG8qVPRq79uAhCELLQzERG5dBEPlPobeuNYUxoAwb3P+vAEAQBguu22VCEvYT9wEX621crJCvJw8XzUXvG01Ku5bgJgVBWHj9ZYz6c92DUEYKIN9HB1ajg1gcF82/v0HOFCCjpoo64Pwv1dyecmna4XgBO45FE7pYy/aAkFWvqv+n4Qj72FG9C+/XpOTRMN3MhXX0sK9vTcb2TUpsLgdJuP7QTeCfESEkSn1cr6D2rpqOF1oOg6Rf0AEGJJvMNnBrZP23FZ063X6nqNNwwGg15vYOzV9ecI7UyDwxEufISAXqPuryyMtSsRQUI7KSeDhXyOUmfQ9ZvA0doHBGGdPznErOGmZPO/mRu9NABp9yjU/GAK1PaaZFxCEjY/+izz+Y22JbmesZ1DzOLatHoMH/r2pI0U/dd0DAB8ITt4WGl9A2N1/SaAPsP4ujsx8R7tXARi/EVw/XB3FedrRO6Kls5XHkZRgoW2O+UIFj5CgJ7W/ZWBENKVWgFzXU8DEAtD7AWf+UsWEpWGPv31IQgey6R0R/nOswoVA1Ti1lwPt1AAgCA+t2i57UJFBOX8FDDBCZLQquKO2vea00ZmTNcrPlCxQMX+Y4yjn8gD0RLIR4SBtkfiCYN8oWPAaKABHEzW4BXR0k7IAvPLVxOw5pajKWRsJ489jeorRkv38mAjBav8//9deQvmrnptf9bKn498+vNHnlyza8EDr/1ryeV3T7/364LVAZ5LgSf5+AuDnZsNgaAEwfZKsr2dUkFC4ST3G5IXbNM+asmPxydA39+rY8DN012S/iHRSSHRSWmGptJ9r1d2VOe/Gb7MTn9maw/wFwmn3ozHGutLjhbKVIbRuzNB8ueLwn07m69NpSGGGWJhrPlgPM59PgSAG/qp0df1DAAxz9/8Y7KD37IAYFBdkE/0DRM7yWFN3wyyAEC3VitaJ9hkeBfmLTkP+Ljx5/+WuW0C8CHtzrLjQ5IAMDg0aO+P6CfAmcDlXEFmhixb9yY2yNw2AQzpm6snWn2eZb8d92871Q4AAB+SCwDMcNlxPp87LmU+pA8H6CFmXKFmVDXm7r5DjWfLVOFZNms7uxnJX+TyhD3Wu4j5TXyJUn5RUd0rSfYHAGO1TMkCueq5uAl/7j5l2YmCs03GsXMnqeBHxaFfKkcnaR/Dtbv2KkFyCQDGPDp07FO7uYJL+gDAEDvt6MOytwGA8LHbeHT/cB3d41zP2DPAXCrBqKpRTLDFpPcvLz7cjHOiRuTeaOl85WEUl7R5nQIABMElAJjb5nU0XagVsOy3LADlY3e9Q+I+Hy4Aww5apsFkrFeYx97S8pLKhMdS3PjOxS5KMNktbFL+cc+JSjuUjf9dR4dLKADQKBQdJuDH/dam/8gID0ZLu9drFskFGBicdvnxjmg5hYzteRgt3cuDjRRXLrXfAgiIfm6shWIE79fPPfn25Y91F1turA6Y57kk/BSRS0ICOUpNp/ISI4me6OZl0tdXKQ0mv+XSWNdf6BH8iIztSco1Zfrm5k6ImWw467SwrcU5r1UZgRREJ0pXrVyyMJDHp0gA6ChY3XxtKnskHfQ0Yb8ZdEtpHmj7rJMFjjB0ifkHIIj7AYAIzyraNNHQMC41yQ2S8wBBAJhEmUWbJ1p/a5Yvb2zLoW8GGQDXV2Cy735yFgAMMiO97MYxdxuZxfX+eYLRneJsQXZUPC2ZM+T8pDf2SO30jwAAAJ/xb4rYoe/svTEe7vM0/L7C+XzuuJR9ywyaALhWVXIyNGX3roi2nZvKNVUHDgpPvi7x+nmZuOLn4njySrVcrk3OEEKXTK4F8JckRkwQx0zasty9p7Us4S9OlsaFPyYM8udRJAGgL0u3V+1mmEE7valZhmFHnojGPmSH7PU2Y5hBAOASPtOtFhM+9xMATP+AvWzyNTNoM3DGI1zP2DOAJAgAoOJzT6ZOtC4A4ee+x5IZPpz3cXe0dL7yMGqIsdfqx7IMC0DMMhdMF2oFBHE/AcAMMvYKl+m7QRaAQ/iM/wu1IiN/s0Ces7Oqq3TnCeGZreIZWWRuOqj430SeVl64JK81SJL4Q8qqaiNwhAkJtnNtAIBHoyWwjN26rPln8bF9P+8i74iWU8jYnofR0r082EjBfPMNAPj8/AE7fyMeILkAf2eYbzx3/J8qQVS8sFTT1VIh10cn2+/BwSorj51S0HOkbyTFTrAXurVKdmmAWBiTEm1vIT2/OX4AenZo8uGs02JS1dQagcNLziuymo7Ypm1wFnAAgLX5nLYKo34CAQlag0ZDQ4j1nVWv6XZy/KEjrKbyrfohIELioof7KJJB/jwA46CJ4PtPNWJy+EE8gGv9gyYe33HXRw5/oT/UdOk6v2AT3DVdjr8giABDr7qbgUCbNarbu4wARJDA65+40J3idEEeLp5fdBogxNF0ZeYMSTO3eTy+c3mc/VKjM0Vav8A0arsHALi8QMpit87kc4elzNCloQHIXwjGTV/Mi8tME/E5ov0btOtOKOsL9pQ9cjLVZpoMbxOaIAmuKtVUy5pTs0BWqzNBcLzE3uRBAACgra2+xgIVu6swN9qy7cbE3rZbbe3Tdg9AqFUgNmm7v2SBIwgc/9N2dWlAYj0LPK1RG0xA8AOnPVM0GTSfB0p9d1snG2M9wlnT3um28ZOOuZ6xZ4C5VDIM+PnzZuBBcYYP53XcHi2drzyMojXX+yDM6pZu0nZ8yQLwAn9BArhUKyCDBBQojd1deoiy6d6l7exmAXgCvuVzJkf4YlZSMA8y96R1Z5d2KA7sW3TysFMz/t5JhPi38f4XKroU8q6kF3Xv19FArJDaTH82wpPRkvlSrQOx9YiPXm0XA0Dygqb7+so7ouUUMrbnYbR0r3s9t2veww8DgE7dZach4q+X1bcAONTcuZ47/k+WICE5lgK2oyzvtNpeYyqjKiyupQEC4yUTL/FA3GipLCsrLZTbWUkEgG5u1gAAXyDwbD3K9N3gEABHuNCqKm/SXuocP+SNQ/r5Apj0HZfHf66vrekc9wHxmGgpF0CtkFt3xGBbFQ2GaTcAG+oK9lboAXjxqdLResPCcBEF0KFQaGz2TytlVXVqg21Qtx77JggXC8Ckr1HY/iJMh7yyRqVnhncuWL5CAEDXfdBoPSyw78K+9HXrMktbrZIx6Tg7X9ETSwgYUsmrbVY/6VV8oGKBWPLEih9lhETu4HRBJh57YjkJ0KWQW08PznaUblm3bv0+uREAwFf0xCICBho+aLApOUPamkpFs9Zm0pre2mqbeGjujks+9sTws4AL+VywXDxcyqxTYNLKq9UAZHj4knFnyyHMPaj50h27EngwpD29p6DZ9nWZtxFIEkUE0A0fyGUfNNBAiBIlEz8qDLKDJgD/JUutKsF9nR12Zo8GMHXW2IxrYJSKaiMAJVo+/nGGblA0W19rfbWikwUi1GaKtSkIjhEHcsBQ/Se5VYroC2cVEw2+sI+d8n1kChnbA6wa+82lkr2osC0WoG+skjdq+tyZqKkdburX3Nu4PVq6UHkYPZZablMw2YuK6l4AShRmLpiu1AoWrhRRALpaRav1vA9ss6LWYAL+ipXjmz6HB+oTwpT9GyMpYJpP7Tnd7vX91jkhCRIhmPRymaxKrmKAjH4uasJOsp6MlqCvlVvf79gORa3GBKRIvHDar9a9IlpOIWN7AEZLj/JgI8WCmJgFBHzT9P8deueLWxZXhL3xSeGh966aYLb4uSibkSBo+siY9a/GUTCkLctZv69SaRi7K7CGi5X7MndW6VkQJG1PcTBimTTPWm+QHd1XqR5Xzof09QW5x5oYIEIS4qc75nkSHF4gD4BV19dZ3JtNdGtxfoV1E4Mg7DEeANtcerSqa7h6x3Qp9uWWd1tt6BuXHMcDk/ZsXkGzxV4NdQUH5dNZf5SluxorDqxft1ehMxHBKbmWIzsIUdKLIQRcq9x79ILBImKwXZV7DxQc35t7+qJFlfRB0ocDcK3l0vg2hmBpUjgJBvmBfTK95T50ivydJ4r37SyopsdtyTSc3FuuHtsvq5efKKrR6g0PB4/doiY4lg1e/P+J4wPbWpp3ut0iqQOq03mlHSzw43+XMOOdkNFdw/mCTEYmJwjApK/IK6i3GKjLXCw9VqHS6CFoifnVHC8+OZICpr5gb5lFHgcTXV+Qt+/U0a2HZNYNjiZjVX5Bc9/YB3RTwd5KPXB48f80uh6bC/k8WLom2heYhqJ9VdqxhJro5oK8imtAzJe+aLNAw+hJhmftSQ8hwKjY97pNOr0OFfObSBKY+lPF9QyQEdIYByU9UBBEAGgb6yyrqYy67HBpq/2KGdtRlm95qVm94uAJBQ1EqFRq3YZOXzh+4oLF5WJai/NOq1mgIpPjpzucHABgUVJ6DAVDquM5O0/XaWmGhSFap6zctyn/Ese5RbeJB3y4AKy69eKUXyW6nrHdivQlAcBwWTXuKL6RyRIBsKrCPcWWN00YUJ3Oyzt+dM/O8k531rtdOpwbrrmXcX+0dKHyMEpTkXdaZXFJey+YC2awNCl8uDC4EC2JFUkvLiXAKDs4rgrEGhR5xxU0cEXJSdadpEZR8Tm7EwXA6sv+kF8/7fkYPS1QIg0ngFYUnG5ngReXGDFx86lHo6XJWJU/rvjQDQUHq/TA4SUkrnTDC6XpR0sgfHwIALr9kt23qU6ZQsZ2I4yWM8CTq3sErt7+0hdbiy+2nN364n//ImQhbzYBTF/PlS9vsiYgAp/btCHc3lCQuwIt37u6zl5BnPVoWtE+iWWNSVOZI7U7XyIhfvX0+JFUl0vTVpfb2ZJDxm89kzlhDLdFRW/N32bKPV6nrzm1s6aE5Pvz/Aj2Rq+RZlgAIASSXYcyQh0OSyOjsrcnal+r0tefym6uEIQ+KvDjAjtgbL+spVkADhWdlTPBaBL34QgTksVVh5X1h9etuRAVLqRgyNCtbGzt44WFkK3qccUsNDElvPpoM608vn71WYHAz2TU9TKEKGPtI6WnGyw3JMIyNid37qzQyrauVYVHiAJJtv+aql5FB6ZkJFQXy518t8m2HHxx9THz/5tYhhmZe4/gRaflbk8ePzyMI0jeltWx6Wi9Im910zvhK4L5vgTb29l0UUubgIrKTrecf1QYFz9fdlqr3Ldm9Vl/aqF0zy7z6jBzJNs3q9YfuFB/Yp20ShS+RODHZQ1fKJvVNAtkWFpW4ujDg3nL1y+0lmQnVYvCHxP4QH+3sqWjj4U5ka9usFgie6Jj2SDFGbuSNa9UqMs2ralfsXK5wA8GtJeaVDoGiEUpuzbYLAGF0CgXCjIRmpqb3plzul3x2lplqFi8cA4x2KtqvqhnTERwSnbyyOgzMiJ7d5J+S6XqdOZq+dKVyx/xI0z91y+2tBpZ4ApTN6VYzcrOl6RFf1G+da0qLEK8kIL+a6rmi3oGiODkzekWmdeFfE7FvrpZdf11RXNBdlK1KGKJgGT7u1WNrb0s+Io2/T7F0dx4hDD191ndmUfrLxbvLAkuyphoNKlXIMW/jeddqDICAC/+Nw4ruHPikmPKW6tVx9evqY8Sh84hWFp/qUmp4YrCeKrWPpvt/SWpjyrLNq1pXrFyqcCH7dNcalIbWCBFadtt7i7hySmDsrw1a96LXhHsxxnUXW5pvsYAwUvYnB3unl5cVPTmvMyB3MKLyrK9yrKRTwl/6a4NcGyvbPLqLke0Ko4nrzLKd625JOD5PbbmyMZIV5PmasZ2L35EXFiZurW9eM1qReAcfnzO/mQhABChL+VmfpFT2F659cXa0BXLFvJ8YEB/SanSMSB+eW0AACAASURBVED4SzaluTf+u3I4d1xz7+KBaOlC5cFMmJQZ3FC4xRwDfaBP06xUG4aAXJq2w6JgulIrGKkC1eat6XwvfEUwnxhJAIeK3rg50VF3fTJsw55MTXZh+4WDe4KDjid5tAhMFxX1XFRxcy0DAMHxUusVOi15MlqSMSnxX1ZuXasME4sXUtCvVTarjAwQwSm56UvdUlinHS2BDF8VSTVd0FXkSBsEfEr88vG0iTt3T8DVjO1WGC1ngEeXIIWA53adCvrgT2+9d6Hzr+qLfzV/SPz8kSd/nfjPq58K8PQabJ7EDtD2C+EcxrrvPEPTdhutCNq6yw3L0LaByfwHV1veCEHC7jNLo8vPVijqu2jDNa3B/DEvJD4hJTVJ7MR4VzI8q+jMotLCckWzXt/aNNrYS/CXxiWnpyUudcfLq8nwJbtPsvkHSi9olAqdEgCA4IlS9+1Y3rK+1WolZp5k1yG28Hh5dRdN67U0hwyOz9qRJblxtNR6p6Qo83g+v+Dk6Tptc7W+GQA4VGjS7v2pxNlq55PGMn1jWYAgqUBh8NIVkc8lSELthkWB5PUiquxU6dsN2uZa7fC3KOEqadrLKeJxl5IjTM3bfftwQcVFo05LGy5p2YTh5WqpmNwzDy8pLCyvVqtq9KrhsxGIk9Oy1saMa1ygYnLP+AUfKyyv6RrdkgiMSMnMSguf49SxbJChGSfPCIqPlSlalRfMvwVweWGJ6159KTbwbi7LaAa4UJC5wtT8k/ySgtNyVUeDogMAAAgqJCE1O1MqtMicZNiGk0Xzi98sU7S2N8rbAQCAQ/BXSFMzMhKENrmYK0rPC4Q/5FfUyoZnAvcVJqRmZyZarYLkQj6nojYXHRcWFpZXq5XyLiUAAIcMjEjKzEoLn3SGFp5k+w7t9e0yTeWeg8KiXRMvl3HnESGJEmFVqRbmxyVOsmo4Gb45fxc3/02FurV6+DpTIdLXt0l0f1hvp9oNZMzGfD5nT2H1BY35UhNUWOL6VzNibZ5DCJiftH837D1aWSMfzjHk/Mi1WdnJblwmhStMPvJWtFJRdaGl29DPgl/QY3GJybHBmoJjTn2fCNuQt8uU/6ZCbbimNTCq7qxIl6vdrmZs9/KX7s9jDuaX1+v1Glrv00knmxc9IITJ+UX8soLTMmVH0wVzqQSCCpWkZGZIQ901Q/MoFw7nlmvuXTwQLV2oPJj/Ep6VR8KeQsWFKsuC+VJs4LgM6EqtwF/yeiGv7FTx2w3q+tEiLIxMz8hOXjFZ9OMIkvdkd6/Pq2kv3nlKWOTxpZGmgwx/Lo5fKzMQooQJp6MY2dJT0RKAG5KZlwt/yK8aud8RlDAhNccqV0zLdKMlkDE5+QNwoPSCplerMbId+rQwe1PgOeZixnYrjJaed88PP/zg4M89vcbvv//+Ib8Hp3ucoVs9hpuDLOHz87lz5z0ww2+Nvur/+t577w2Y8pyFdzuG1hmNgybCjxLw50zl2jN92uu6/sEhANIv6BEB33fGX/uZGINWc72fneUXuFDIIx0WKnaA7h9gZ83hUZM+OTNGzTXDIPjwBUK+2wPHRIZond7Y/y34+PECBY76xbGMsZ8GHx7Pdt0udkCv0/ffBh8fniDQ4W/K9ul1xv5Jz9HBsexsq9df7x+E+/lB853ZHnm7fvprAPCjph3nJ+VKQQYTY7imNwze9nkwMHC+o5LC9Gqv/88g3O/n5y/gT1Z7ZfTa6/2D4BMYNJ9ymAAX8jlL63W9/bc5Pn4C4aQJ+ElgjBqN7qshwucXwaECe1fkWvm69FINL+nM2YxgDrC0vlvXD7P85s0X2Mbt+r3PvlYH4TveOxxPgIkxaPWGb8HnYUGw/0xd64tHpVsU9NKMd04mOZqhcBTLGIw0UJPnRsdcytjuxfQZ+1mC729T7kwMrdff+BrAhwqaP1kRnj7nD+emaz6puz1aOl95AJikYFpu6EKtYIjWXdP1357l9wvhpAn4SXBrtKRlW6QnVKRkv2KrGCzudwvnU/ZWMPUAV6OliaWNxtsExZ8zraLrUsZ2L4yWU2AOpGYOwqlne1KM4c4OeGT2DB0LWSGpwOmtAE3OEYbO8fD0E45xSP4ikVPxDoDwpZxtcSB5wUtnvOmKSwUuoqxnXbaHIHkTRRDCVxC81KnBNsQcQfCcybd0cCw72wqEod4+zTbySq4UZOCQfKHDWetHkP7CUKcn93Y697qQzwlKEExhkbBA8oJFvGCnNycoQaiTF5BD8hc5lSumgtHWd5LRYuubgnm5FuJBP2fXECFIvt2HDRe5lLHdi5wzwVzxHJKab7Mwluc4fzg3XXMv4plo6XzlAVwomK7UCrhUYIhTVaCfCs9FSxfud65zV7TkEJS/G5LoUsZ2L4yWnuPBiTMRQgghhO4CjPJQ+vrXdubsk2stB2gyqtKDFVoAMjxyJb72RQghjJZoZsxUTwqEEEIIIe9EihITRHUlqpqj65srQ5YHB/pwBvt16ktdNAtARWVkxt0dr54QQsizMFqiGYGNFAghhBCaQRzCx5ekfJ2qyBIkRfmynp/+hghOOXJGWF5WrqhWq+v15rn9CGq+KCbhd2ulIsq7JxhDCP04uRQtiQcoX8qH6+lwidESzYSZmjjzjvqpT5yJEEITm7mp4BC6KwzRhj6GBcKH4lH4RhBZwGiJ0DgYLZHrvGziTIQQQggh78el+AIvXhQWIYS8BEZL5DE4cSZCCCGEEEIIIYS8AjZSIIQQQgghhBBCyCtgIwVCCCGEEEIIIYS8AjZSIIQQQgghhBBCyCtgIwVCCCGEEEIIIYS8AjZSIIQQQgghhBBCyCtgIwVCCCGEEEIIIYS8ws8c/5n97jv4Ab7q/3pmUuMh//u/JrjH1E/f3WeBEEKeMDT0dwDACIkQQo5htEQIoWkyB1Iu9x8cbzZJI4XZDz/84IYU3Vk/gMn0/Z1OBEIIeZ3vf/gBACMkQghNAqMlQghN0/c//HDvPfdMutkkjRTEffeZTKYHH/y5m1J1Z3z99d/uvfdeX1+fO50QhBDyPgMAABghEUJoEhgtEUJomgaAw5l8xgmckwIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BWwkQIhhBBCCCGEEEJeARspEEIIIYQQQggh5BV+dqcT4MV6mio/M0y+2UPLpE8vIDyfHMeYG23KTy+qe/pphiV8+cJHV0Q9tYzHHbcNe+Xt3L0V2jnP73n9pWW+dyihU8Jeb5J97uC38BMlxAi5AHCz9sjvCz5lRf/yh93PB8xY8qZroKV4xxEZLUzZvTdlsWtZyfjZuw09wHvihSgHp8tcqVWoaQAq9Jm4xeRkOzzX0MMCJyAqcSXPpaRMgtV/ck55kxA89bx4rstftjrNuzcn/8jYLZjEA368+YuXLJ47SVZzs5vKqkY98MXSCAEHAKZVrCZyZzOeuRSMwyHIn/sFLnosJMD9F5u9Widr7SeCIqWPOyqxd2dhZLQfnVfdGr1xTIud34UgyNlzgxeF/D/23j6ujevM+7622kxCPQmV4lYyrWSnkmklu2ZMDGIhsCbwqVbesPQ2S267anlCSoNDjO0aOwHjhOD4NTaOYxxqOTTq0qimUe2tKi886gcVHmS4kcAwJFhKbanBmgZLLdaUeFzqyere5w8h0DsSL37LfD/8YY9mzjkzc87vXOeac64jCt8I7s9+imGeeDviaH2rt5cEXlpB9oq7blQuLCH6HB433tZ59VbgMRaCPsZdiWGipYv7TO5PKQvBZ+/5gyAomiRatVrIm7fcRcehrdujsiA5LzXsXM9e3KxmgRzWd1yhBFlF0iSAMbO2h6AfEeYXYFFK5eg5ZxoDVJwrX82Zq/3AaPsCwzgpIkLbDKrmXnrW81Iq8u+uk2LS3n7qiLKDoPyOGdrOKX8mLHzx1fJc7nTZHH2dOEkD2Wm0l2Gpd6Gkc4a26JTNeMSfWVhl/npRAsCk9WI3QdFg7MLJAv7dlcg4uNLbbqdowA39hEIsjOvSq4YWZTdI2QXZ/Mh1kMQ1qhabBxAxrDpRFM31MGlWn2hqJwGQTF5hOi+aMREv1OX2ZuUgKl8xFydF0G3evzX5ASNKw0S4WHHF7tIMzh0qisf+e1WzAdI5380UeAeG82hWAJRjhKBYqEAcMPq/uxXvaleLsjNsj4SwV8u27CjLiyIC8XPLolc246iMH91JcX82RnJI26y0+zqO+RH5vQBbuP57pc8pgh7gfdpPMcwTb0fMitK30pfbm5WDIF0ie9CcFKH6HP40l6m1WeMK+xsiyC3bs7VAtGjO7/tTykLw2XthSOBKN1bsUqSzF9K088dl6jQ7JwE6jSMvrs9eZIdIdK73nVWeJ7O5RdIkgATSrG420Xz6O2cUKyJcQJs1jc3tJKfwUAHAXO0HRtsXGsZJERHkW7LyCmzm/x6XsfUcPoFICkoCbMGl2JI7X7hpPC7tvurGQQrYYnmBLF0sWIbCjU8tuEGn7bdrj+6kWI01OVPjBNH3ykpd/+VYKitOuYslngdJmaXfw8L1UI+v9b6DhMzSFwtggMaKc+8ndUjdXFV88/ekqLAg3qFUfNBX9O1XikqTI55A9eiN5KIWYWG472vyA4Z/w/TQ1ARh6+8x2nH1vp3u2uNVWXfKTxHEfJrV5ICq5ogRMut+82q2nz13L1Q8dtrmH6T55M1DuZ22oZ4By4juUJWLbqyXx+8BnCf3wjO5F/B7LzQ9ecs9Zr98CbfYu1R7B0zFtQfL/Hqu+7SfYmC4Q6BY4absr/vMbJpyj31s7DY7Opt2TcDpQwULOsdzhgdKylhCeZlMNNV50TRFOq6Yjf2ESV1XOV5/emf64rh6uPKyMsd5CyJ9TnpXPRTBsLOeTm029RCGTruiNLw9QA92GkkAblZeCgIwV/uB0faFhnFSRCYpvbDQ778eu1t3Dp9AlkuLCtPuWqGCoHrOqAYp4K6ve/uVbF+bECWLpbkFea3V21RWQ3NrYVaFxCtV7HRFdfrdK+y84WEbCguitnxEsKGibsOdKs9CweJml72afQcy8hBt7WZFcnqEbzQuQ/sAFf6ne4z7vSY/YIQ2zNIyS3P1Lo29XdkqT6uQ3JWPgovRrO6Bive4OLewMGAeaWmpXVNXrRw2K1W92dWZd3aVzT3xTO4FQt8LeCiL9q2Dql6L5sDrXz1+bObX+7OfYmC4QyDLs4oKAz0FpcX62h0nTIOtmkFZZeri9CgPkpSxuOmFBdkBMybKyoebd+09Z+toUsvTy8WLki26uqhqddGiJD0v0Oy8dY09XY7uTluJUBRmIgltMgxQAIIc2dRwaY72A6PtCwwTOHMhoCiSdFMh8z3pCXfk4xQdPB2LpsbslmHcYneFXhIJ29DHFIBI9v3s4LE7ItpYIudzUJq4PD13zkNTpJucCJe6h3LarZZhq83lG6VSVFAhp4rt/TdJ2EZwi91NhyYyYneQ0W6AHidsI7jFSpCLMSAOeRf+xQbKZbPilhG7M3rWlMthjXwjNEWSbmpy6j8kYbcMW22j7ugvjSYJ24jVcoUgJ8P96l/I4Ot8tSLs/L3YQRCEBWS33jgR4QS7XmulIQGJ1v9P1xNilvsNU6Oi4a38VtuoO6bbDK3Jc3kpvhY3fVpAIgzzAZWUlMmXArh6DFbfMf/H66EcVtzUb3UGvaEpDbHaxmarNpNuh9WKj9idkepztGY1dbnFaneGtHGKdJPkTdoDAP9NjbtJ0j2Txr1Z8RKExeUFAhZQfYah0ESiq5n3jqZ1fdSK95tt41Gzm6RI0k1O+B5K6DPx7zs8lPOKFR+2OsajPpJJtyOW9z6r/swh67mVJBZYqGTjq43bM9lA4S3NBv9JahFsBvDQ5KjdMmy1zKaEU11whA7F7zzfExubxaygXNF6qLjzZVhwor/KyA05gsE5lWaAvk0TuwkUSclj0Of4SJIp8rgA7qERvwAwkdpRZEWlJ1w2q9UyYneGWsILI+8xt5HYpCbGhhkLaEpJaQ4KHpepxx76a7RiU5F7KO9Dm65D0fqyqGbewgyjIoKk5WazAcYuzhgkAbn3/n6QAhY/L39m3kRE+yG6Skeqk3BH+q8HDmYmxQJg0+zc0kqwZfXqnX7fqCd7G55/w0CBYNOp9/znF7nO7SpttiCZNe+/mjf1zYt2dDSfbNHjLl9dTOBK5c+Vl6wXzDZj6jZNAwASdlyJYJXN6kr/I8S5XRUtNm7R6eayGVeix41r3jmp6XVM6STCTimqrdl0s0lR343I92uqvNNGPLiyokb7WXpNSxnd/MZ0CAwkKbN87yuFQnC0NR38ud421SEhgtyyPdsLApf7Ura2FpVGbxrz3SYLFaQVlFeWSJfOcpuxY3xbUd8N0t2aA/lIQLHfr0Baj5zUWknPVNYiWdmeF2WCwCdHjujeU7UaRmYUBBWuV1S8VLx65vMkqT9QfArnFR8/nWNpeLPFSEydiySlKyq3K1KDJ7dTV3RKpV+aCCrK2LilfDM2fdfeQpLictXx4unZ2pOEsbVZ1W52TPfxCVxM/tyu0vW8uX1F4OYWfr1H0zfQ3uXOKwydgU/j7XqHBwTyguUXzhlDL6ddRnWT6oLZV08AWSrO2/RSeYEw+MttaI1KLap9+ZkIxaIdnS1Klc40XflRfvbGsm2boi6bDKnJ8b4UZ09LY/O56aqIJKWXvrw73+ZN5NT7ZYu77uYLASKRiBDtuPuaww0pHPB7R8fEnQcb9RaSBpawVHlK4f3A7HGZ1E1KrV8FS8IKSypKc0MCLVBW7U/feb/bPmU/s1DJMz/ZUxpSgLDNCgBIXKNsVnfbfeYFwhbn/qC8rNAbU9bT21DyhtGbssfcUKIAABCXve8N5nLPVrwV316FgoNyOVwAK3w3GoOaTd1Rctl7O1DNm83tdgoApNs1BzZEmJAxpq/ffcI4jkpK9h1TiGdS8HsmxrcV9d2IvF5VPNF88IzeNtOzFGyrKssOWpAyYdX89J0PeuzkjABkKnb8JKCQEKv+xJd1EDGWJE7Y+S/9wDDQOGjW6om8TXy/cvr1UwDgcZvU7ygv9M4IfqJQ/sOfVBYER7wK7lBYHEnuxi0vFEmCQv2Nm9XNLb/xux2ELc4realyQ1CCtKOzRdmiN02PlBAOJv/xrrLgjibWfBkWnFheZcSGTBsOlzYM0pKyn58sDmoANP7T8l1tbnbBIfVWzJtUXCZQeCWPUZ/jB01EAVz05MyYLUw78ishKqv/zc6ZmRGUXa9qOts+Mm1qILy0osodfvbnvOU91jYSk9TE2jDjAUlOFkEH7hxz0TBTeWYttuNC9fMqO5K244P9siA1pDqP/OBoL7Vi83vKEkGEJx+LmTfvYdSst56e9xSnXefq6MLLV2NBP1J9nSYKIDk3b4XvUFj7IQaVDl8n70D/9YDCOCkWAFFWOk9DOPEBmyddMj2yspoHKQAAxzDuBOH0Ijry0oDNA8jqdOlU3aQsqupdrXaahQpS1q0SPA4TxOV+3HT+yOURx8E3SyRR/RTLhXzosFrazpq+u0M6F1vBbTy+s77DBSxUlLZuFe9R2m3r6z+7px6Kw6bmofHmV9t7AMuRLU+4efXSgGWst/G1t6Dob+834w+vzpQLHqU/tZgGCUdnUw3rcdXu6bnHlKlpZ72WoAHhpWRKhcuQz29cvdSL952tdVDHmiqwRV3A5qEtP3+1vYMUpK7P4T1MOXDTsMvWdqKKftSvhEB2Hqk82uX0AMrHsjEh5yHKae03WbuUNQR94rgiyLQb7zy0Vzf0iDhbJuKA67LZbBszq/btR04cL14xcxbV37Rtn85BA5qESb/D58CNq5cGLN0tuyy2mrdfzYvknZm0qmuqVVYaEI4kK21VEkqT9qE+HD9/pJJEzlRnzmm1Gyf7mayOPj3edsFRWCII+pEaaO92AyKWy0SWCyGX0nbN3mrlMAUJXEkWtpID1KcW07C1/dTOy9dqT271X98YUqP+YukbPPv6floepki0paV6j9pKAcJLyVz79UfB7egbtBpb6kasFQ31BVHDgIcjtpfi1NVVnjKTgLCT0zO+xUUmXZf7zcq6o3Te7TjzY4gG4n19/zfw6Gjr61qzLYGPZfAfhcengo17CO3enY2DFCAcScaalZyH3Q7cNIJrDu+8PHb4mH/bo3BlVZ1mlAaUi2Vhy1Fwf4KbtEdeZxU8HkuZXF2Hdh8xuAAS+dJUCQ+97bQMmKz6xpctjteOV6ahAFwsX4ZOOvo6rSSLi+Viy1gASbNtnnH3Kx6CfAkAZsz3+NRs8kNVvdk4zhGlpC9DQRApioir61D1lIfi4GwRz6mBd/a09d5OTpeLuDBhG+qzOofP1dfCycaymU5t0qp8uVozSiNccV4Gxkug3FazYbhXuddFN5xSTBulcehPjFmzV+YWFadwVz4SZ0nmAicvD1MOmi39OLkpUig1ako2E7jS/KdES4FyWbp7rO2nqt1w6kDBjHE606HwsWwJF/GQVy+ZLR3N2z6y1R1/JXtmuKWrrWoyTQCwhdJciWAJUGOWvn5r+9vVbk9Ags62A9veNlMsVJQhW7uCA59dG+rpxbVHKj8L6GhizZdhwYn5VQKEbcic7Lx1ysFeS/fvHcWbA/p9Gjf8HzewuPl5Pg9FXKIRVsnnqc/RcA31EwDI8hVz2jTBfnZPVYtlEmEnZ8pTlqMet62/x9R/traaOnaiImyosxniNfait5HYpCbGhhkvtz23AQBYMOOhiKHYgtxcidpuGe4ykjJ5QN6UyThAAUhyZcEm5QwxmXnzG0aFgZMiK4ZbIr9iYXm5vLZzzotd+AsYFlCXKWMXTgOC5T8dNdxJrCod8gAWvP/6AsE4KRYCYZZ06TntOG4aBYlPYmyDOAkALAD7wBBZ5GvY1OCAhQYEy0zz1kuqv/lgq51OECpeO1ya6qurJK6srdNcOXvwZ2ve24pFsQV5391UqKvTjulryx3y7/17oWydiB2Hl5XseKehwwWJWPn+2uJk37wOQn+o+oTaCgAhSXnwdjyzpunVvCRv6a3KqmrNaFejEpVuPXXAt+MO2Xeicp/e2a03vpAp9zo7rpxXXiBohC+vPjwTSI+2q1/eqbLq3//dJizMt/2Fw4Nre7DyE6eKfb2ss+ONyqO9ZOev2xWZxd57mcTfa+5yehDJpvqDpdN9FoU37dyltWvUvYWvrfeXEmenHtlQr97q8wRTVlVNtfqK9QONuXC3zxM80dVwVOegUax03+ubfJt/Ttq1+6obB3sblb3S2vALyJ3t76qtNHAzqw68Ip/+kDymq61sMnX//DfFmRFC/8wCklKwga9Xj/5eO7KpcnXgl4dOnXEC0Ix/kychlpALbeojymEK4ctqDuyY9uZS1rOv17XguqMNq1R1uT6XW2fEGqUJmUNODzcfbLVSiVhpfa1iem/U8d6G6iPt/c0ntenHNsbnOo7ppYydO3bGTLI42VsP12zwPdxJu2ZftfL8/RGR4/7AY7d8QgOgy5ICmrazHxfIXnl/a8DnIFvrEeUghSQX1e0rk/psIGq4eU/dOYv6iDrtjC/aK43/7IRmlEaSiw7uK5veTMzZfWLP0XMmOoxiBeLSNrxlcAE7q6Jhd4FvnhplaXltl9qqbWzJbq7AEGHh9h0w2VXfYzWCsHDnjuwYPGV3v+K57Fc/A2At43lN4TjVDEbNpuSiA0fLok1qc3Udqj5icKESxb6Ditm2MgbK2GbN23mmKn9qeyl6VFdf1WQidOruTQd8X+PIjhbtKI2sLjl9aLNvUltZYWv1NpVVo+6aLmTs+hNz1ii2scz/a1qMJZkbqOTbApbZRtiveSD8BLFRnbrTBYnpVX6hT0uHm3ftPWdqPYvLdkwZARO9jQ06h4eTvfVwTYGvCtFE+9Hqhu6uhibp6te82/5RBlWLaQLQ1LJjrxVNz2cku4+8cKDL1HoO31CBeYvhwTVqMwVcuX+A25Lehu1vtPt3NLHmy7DgxPwqvYRryGhWnvRMr8HeYyQ2K/wG+PRgZx8JsOLpPK+6xmsChVHyeepzlMdAGM68oRyhkeTNpblzaIu0sfW8ZRIEGw+fLPdpV9nm9n1bG/r07xuKsMJolkZsxl6sbSQmqYmxYcaNe2jQDgCCaUdPjMXm5spXt1gGLYaLbnmBX4c+0fP7YRoQcV5+xAcYq5k3j2FUWHgZm8szAg8l5+YlnVMTPYbBCizDry6SPReHaUCwvJyoBmeMKh3CIvRfXyCYmBQLAUuY/SQHPMTQ4HT4B8I06AI0s3SjEGiLGffZoLQFH6GBJcxO97Zzt0HT6QREUvLqjIcCANhY+d4SCQJO/a8M0ZcHo+mVR+sVKRwgre2qN7ZsKi4urzmkPGeYmdIWBaJD20sBKv3R7unxJAAgfFlVRSSbA5GW/GTKQwEAqPjZDRIAAL6sdMNM78fOKJKvAKCvOcZ8h5JLTjcfqqt/IyDUPyIs/K4EgLZdsc1eWACw647V1dUG/x3RXpn1SgRT7C72+w7Ay3/hWTGAx45bfK8mAatSnjlWe7i+1N+rjmIFuSIWUDabI2jt2VLZthf9liSgYkVJLhuAtHw4fabjwq+NE4BmvVS7yc+mTxAWVpXlreBznJbw20QB8DYeVp949cA+Pw8FACTJ/iUNBY/LZpvrkIYllG8QI+AyXAgKkEm0teM0cLLlmWioDU31qi8QwOIXv7zDf74ZKt5c+6N0FCijRueYOuZqP99LASJ9LpYa5Ta06p0eNG9rbcCQZ2lm5Y4CHovG23SRnk9EYngpFp0Op4Gdu71qg9/DTRAWV5XdW/Go73Ocba3tYwCJ655aHfhDUsGu7YETVid7hUzwKwAAIABJREFUNVo7nYCV753xUAAAmlK2a5MQPETbBfOUmk10ajpdgAgVL5f5b3fOy6nYFcu2FiPnNMM0cGW1Mx4KAEAlip+UpvEFCcRVIsrFUbnLFc9tbDlv8QCSkjnVjcSrZixh6ctRPRTjvQ3VbxnGEMmmfQdLZvVQAACgWc9V5s9sgI2sKCiV8wHoy5dnvKDXies0gCDtKb9ld4ioeO/JEz9/v9Y3IopDf+LIOoiYSjJn2MuWsQAmyRuReuVPHQ4PgDAz4AZTSl5vOKVpnrF9HRd+aSCBt2H3zHACABC+fPtLeWyg+n7bMWWAoHm1qtP1rx6rLvJfccnO+rd8LgBpuTptp1AuJwmQIH7Kf6tgdmb5gePvqU9ND4RizpchBjwfq8OYMd6/A9rgWAExv0ovYRtywrqnMzjgsRs7/QWOHjIOkACi3Nypxb/xikaoks9Tn2dwdzdu3VLp+yt/7nubXzjUDdLiV04fKhHNxdPhcnxKAXClWX7axeLKdxw/2aw+FtVDARCjsRdrG4lN9GJqmPHhcePqo+/104CI83L4cRabk52HIUBbjD3+oXXInq6hSUBWy3Ii9h0xm3lzH0bFDEuYly8EoIxdA/5KTF7sGqIBSZWFhPYLJDaVDuaO9F8PMIyTYkFAJNI1KIBt0DzVgMfxoVFAVmdvyMIELHpoyDLVJKwDfRMAyVlTvchEv9lKQwJWmBeikkkyeQoCtOXipdlGpEvTS99UvX9ohyIfEyTS5ChuON98qOq5ZyuOaAbd0S4kcZMdAF3zLznBTR3NkOWEba4svkQSYLAteezLCADw+IH7fi/hoABwyz98DpKEZacG3+bnnwMCQFN/iykyzARh6jOH/A1Yot4lAACLuzYl6B65K5/gANA3P7s1cwzlYzni4PumPwcA+HtwHBxEggXtWYA8IVzOArhF3Zg64DL12wE42c+EzM1bKqtRnnmvsQyL+JEWYYszpcE7pdPgAQD65q1bYa+JBV7ev0kTgOoL3Gp0RN9uB0jKlaeFEVp6xDhEASTL5CF7l7Jz/lWaCDDab/J6o0izaRQgYd2/5IbUqLTcjKCnQH14cYSGpbnyrOAhACLOyl4KMGa5HN1DF0IML8XbBXJy5CFbcC3NenqRYoY/8LiJkUEcH8bxYRwfxE2dOtXhrVt+aqYAxRTBW5Gh31ojCaz29IjZNAFoWkGoHSvIyhKxgLR87LUF6RHz5UkAsWxD8IRfRJL/9KyLg2x9ZieAILcgeHEZi1+8/8x7ykPFc53Vfycr3o1R36MexvFBs7HtbENVZX2nGxCh13SeIh41g6XYqiSIBE32NlQfaR8DyabDB0tj8lAAgGjNmqAzBUI+AkBPzKg9h8cBAEenzuTf0lkckZg77S2NQ3/iyTqIWEoyd1jeAEl0xDBvvGU8FoBVrxnx7+4RXrKQPVNXXaZ+O7D48mdC7GF03VMYCh675aOZeE+ijExR0JpN+jYNAEBT05mgXM5jAJMDv9Xa/TNG+WLBzJTMePJlmBWP29YfasZ4/3BfVC8/YnyVXsI3ZESal8UDsPV0zvj9Jwd+30cBIpbn+olpPKIRVsnno8/+kITddsX3N+qiaIBJ10h/p2Fkbv4wNo+HALiMF7qc/jEd2XzJbCv5IHZjL7Y2EpPUxNQwo0J/qHq5Zpfvb1vlC8VFil0tOAkoVvoT30ZDcRQbzZBlo0BbO7tniu3uM1poQKR5WRFH93GYeXMdRsWDIDdXggDVbzDNPFZXd5eFBjQ7b90sVSEmlQ7mzvRfDzDMco+FAUnJlqJdBis+SBXkoUBdGrB4EEnqGnbyV9ayz2l966xs/TgJIEpLn1r4NEZc8wDwv70yTAAIdFUyF/qJ64QLYFYZRXipstJUWSnQ5JWB7h6jsbMXt3cp936Iv3h4ehVGMJ+6nB6AJMnK0AbGEggEAGToNRFidIYemppNGnjQQzmtH162X7MRDqfTdf1TwjFGxTEHMHnzsR0hUgfI45HNax8oEnKPyEPhSghAjeJDf7A7RgnHmOv6X647Rqe21QhaNY4k/GNwsR/yWqK+Ez3XHAQASyAJDnwWM5Mu27D18qjDMXbN6XRddxDRt02JicTMf8nhGPXmdj0hn4riRpva9U4AyQaZhBXmgbgJggLgJUvCrNZLEElWgGGYcHwKkATgdDlpgGRRmBqFiERBNWrMds0DcAvXHD9hCDJfPDev/h3A43a6AeL5ABPDSyEcLgCWSLQi9Gp0pZALPXP+mP4FZlRXX6MLPohws0tfqQr9SBXSGtyjDgoA/qBrOG4O/pF23PAAjF+/ASACcBMuCoAnFIUxiVaIlrPAEXp8BuraKAmArkxe+Kiod7Likd1Nu7pDjrIxRdVuRXJIjNHY1Mx/iXJwCp90NuzuNRA0iMv2xOyhAEAeTgixSr15eG5Paz4vb5P8N3Xto7rakk5ByjppCoalYmuTuf6FiUN/4sk6iFhKMncmb9z0ALC+jEZKTviMIk1/qM+qrlK0CbGM1DVYCpaaIgwYj3g7FM+tIc0JZ/B477bbRgPQ18ddADPdPT1ut3xku0rYHWOu687rToJwUr6u2QsLK35WbFRaTcqtz/5GLH0Sw9asWZuKCfwNkvjzZYgGgpW/WbY2fE24aWysUYfbfWD2V+klUkNenZudpNMQF432ElEyAEyN05BUWegM91hFI1TJ56XP/nDk9cry6Sl4Hpoatw3p//O9C2b1PpuzurEm5LvabKDZxUWa/rO2ziM/6P85lpq+dg229sk1kqSY9CxWYy+2NhKT1MTSMGeBcozgQQ8cScpUlL+gyPC98riaNrru6QyOocNq6HYVehdojPcYRmhIXP90qFU+TTxm3hyHUXHBzc0Tt1iGB37fT2V7F1mMXTRYaUjMfDra2hEAiE2lQ7gz/dcDDOOkWCAS1qSnIIaeD80jdF4GDA1YaBZfmsYBFpqOodpO7zorwjRIAIsvzfB155PUbQ8Aij4aLslHURQAbv79ZjzlQNjJmYXJmYUlbrz16OstuOlnTdp/OlQY1uNIU7cBIAF5OFw6aNSdKOOHdrQ1HWvRW6aHqSyEzRVKU9zG4Zhd4yh7uVC4eGtfKeu5xhOthtEZLynC5kvSxM5+q3MOyXn+RtEArC+jc1lB6TKqTigv4DPbeiEobwUmTbSYRue61sOXkFSeK+g4Z9HrbcVlIhYA2fnbHgoS0uX54a1MapIGADT8baBoAgJAU5M0AAKT3hqFhqtRaHCNoqjbHoBJwtQRaXj2Ob3gu9x5P2ay/hEN5/lGkC/cer+FIYEvzRD6vgI9jCSgvOUS6VOZ4WzVMFCTFACACzfoI5zhoempM2kAQEO6cAAA1j+iiH/gyFC8tTRCRV5sFrDiLRXnYdMDi4fRx7iCZCwnSxxkKi2Yml3pMkz947yqM7cmZJLUvEhMr3r7kKC55YNuq2OwyzHYpVEBwhbmPftS+cYph0gc+rPIJZk7BOH0AHCXLYv4MZmTV3scbT2jahuw2c3tdnO7BgDhYrLNW56TibzZezsUcOMdejxCKvR0/R83qxub1H1+qz5Rjig5XfKJ2fJZwCWCjYdPPtaibNWbCKuxzWpsOwuACNIKSstLsr0TwOPKl2F2vsxLForC1wTqaqg+xPwqo8ESy3P5GjVh7LaXJgsBKFPXhxQg2YHfwOcpGvPT5wCQhIAWjyamyyvS1/JrtpzCDcpWeVZF5FmoERIUlxx7k61SnWsfceHdOrxbpwJAV2QWl72kSJu3psXVRmKTmtkbZnRYWHnDtC+Mvqx6rbGfggRRdpqfUyq+po2szctid+gs3RedG4t4AGRPp4UGdm5utOWKcZl5cxtGxQcnLw9TDptNXQNU7noUwNHdafEAO0u2dvZFlzGodAh3qP96cGGcFAsFKpViSI95cMACaWD+iIKkgrVcAEBWrVuDdPQODbpKE/GhUQBuevYK30Xe4RxF3QQItedvUhQAPPxIWA/GbLA4mGJ36XBp47DFfIkqDBttBUUfZQE5QYbL/ZY7nikOs0J1v1X1dhfJQiX5BfLMtFVPcHlcDsIC6HljQ+xOikVlTPf63macAnaK7Nm8zFXfWi5I4qIIwIR+1+Y5OSlYX0YQgMm/URRAfBuv0HjzK/VaF6D87MKCp9MkKwVcHhsFAEuTwjQ6h6IEIpbJheeUVzq1gyVVaYizQz80CWiuLC/CkBJNQACACp5X6oWaGvh5HRDR6jMVLMTek1cUHdtbwItgcKALHjSe9WU0AYD6m/uzcEWcmHXhEEM4xAW7qgvm7D30Vh52/isNETeMeIjDAoheFem/hd+ZfAYESUAAKGpBlS1WFq7iiTb8pEYxm322gGqG8Aur3yh0ndimxA1v7xc9ERDQfgFgY8W7seLtbof148sjOD5oNo7Y25XVl92HT5eJkbj0Z5FLMmdsfbgTAJWsiTbjHeFKS16VltCk3TI48qFl2Nzdb8d1J7Z9Qp1+s0jA8nUoHqy8cUd2BHv64ce4AAAeu/q1Ayo7jSSlFxfkSlcLlydx2SgCQKgrQke2iCC/7EB+GeWyX8Zxy8cfmnrMtv5z9VeIqqZ6+dJ48mVYcOJ7ldEQ5OaKWltsPZ2WUqFkcuDiIAVo5tMZfpbhvEVjfvo8O7wN/zuvFdeS+NAoYPHPh0PFBZVvFlROEJYRy+URHO8fMI32qursztdOVWXMzw8ZbxuJSWpma5izFcnfFybaUWYuP2Gyn1d1yOpknOlz4io2kpKbn6TTXOk0jhUVJ7m6u+00cOV56dG0MT4zb07DqDhBs3KlZ8zGQb2RXC9nE8ZuO8DMBjezMKtKh2Z3x/qvBxTGSbFgoOnrJIgZvzRgscIQCbycNK9AoFi6BOm1DJodjw1YPMBLy5pxoifxlyPgHPv4KgWCYJGkLl9xASDL+ZG7f8rafr7fCdzsYpkojMSgHA4A0Lf/HqFzSBItZ4FjzDo0DoIgyaOsltFYbjpGKJOhlwSQlBw/uSnAvL53vsA4+zpxCtC0HWf2ywIGEZ/PtYisZaIkMFxxWK7QYWM9RMSDG7pcwOIW158qD9yDw7s4dN7w8+Xpqitm44Xe8lR+u95KA7fwmcxIReTw+SjYnXaLE8TBM9Zom20UgMUVePd54vF5CDjHbGHqM22zBXnSvZWfpG5zufPY9ztOWMsFSQBWG/4RVZgTVETXZeu94S/7guGtYLco4CRxo5uKvqpoIyFk4TRhu+oJN/95BnQ5nw39rqtXCMha+BUfs3BnK94CqhmS9VxlFhdgd9WVyvpOq3J/08pZd+ybAwhHkJIpSMmUKypKO96oPNrruPBrk+LV7IR49GeRSzJHyC717wgATvb6WOxghC3E8oRYXmFJ+ei5PVXN+Mh57UhRZQoAa5mACzB6g/JwedFXONo7DaM0sNfXnHglO2DhRuSgGAAoVyiVCaWyotIfWVUvV6vtZq2ekCv4ceTLsODM6VWGh/+0XNzaOHLRaC0TfNppmgR2vsx/B8f5i8b89DkGWMt4HIDxWzMjPhYA0LfpYL/zTfJGyMU+EvmSLL4kS1ZcTpne3lrb5jKc73w+Y+5Odm/B5tJGYpOaiA0zLpbKSp85Z2oljOpWPKdiKipTvMVmifNy+JpWu6GbKM4xG6w0JD0lXx31kjjNvLkMo+IFzXw6DTV2WgwX3XJJp2EUgP90njiuJCKrdAh3uv964LgTgTM//9Ol3/3y3cY3jxx68/jpX7YN/GnuYf/uadhZ2ckALrNWa3YCujbNZwezMakQaGuvqgungSPN8LOPE7F0MQKTeLshxEgd07cP04BI0p+MbA8iNy0XzqrVzZr+cF46Cjd/RANwlvEjTGZD1zyVigCNa1rxwOtp2/lfmxZypr13OhNneXKQsNKWDz++R9wU3ghUnJDllNRHeNx7TEzBX5vKB3Ab23uDg3uMdx2qeGHLjhY8bMqe/6YmAVhCUdAKc499aPYYoTHBzpFlJwI1+Fttm66NABDKovQ0yGrpWhTAqm8PDjwOZLfeOAHAz5J6ezg2JhUCTA60dwaXk+rRG4NCgiVi6ckITPT8vz0htXfSbjivN9ndi1A3uNlZYgQoU+t5W2Dq1OA5TbjFwAyLjbeC0YP6UBUEolfb1msbp31nYqsSAKz6ttGg82j8dxeds7VTURrGBnB06ExBNc5DaOu2Pl9Rpwmp4XGPBCJyRyveAqoZgni/ZHCyt+9VCBEgdAeO6ucysyxcMZ3DXVq1PuiB8LKyVyMANOm+BRCX/ixySeYCZVUfesc4AcjqjYrIrmpq1Gw4f9YY6MZFVjyVvQIAKPeUEPKlaXzwEIbf4SHCSFnazhmGCW/sAKDomx6Ar0tWB83gG7dcDozQBqTd1HZO0xfY8FCxd074jfEb8eXLsODE/ipnh5uTJ0HAZezqNRpxGjg5gV+P5y8a89Tn2SFxnABgcXm+0d7jj7EB4NrlDwNqJm1t7w5sS7Tb0qNT64IMXVSaibEB6AnyxnzLFnsbiU1qYmqY8SEqfi6PDeDSv6edfjhxN21Rfq6IBbbuTmN3p8UDgumtYSIRr5k3h2FU3HgjfdKWrk5j50WHx2+Dm6jEptIhmd2J/utBZrGdFOTAf1Q/v21/46/aftfT19tj/K9fvVu/rXz7u31/fQB7NY40QwwewtBNALomfeYbOFeayodJ3DhIQ6L/cQDg5hXn8oDGW46o/APGTuCqN1ssNPDy/3e0aV0IJs/jAlCGUwfUgRt50C6zat/R9nEAfq48nHvPW+C8kk0iBJy6ul3HdThB0R6aclkNzXU1GpKzkLEfOMu/zgFwDxnN/kLl7G46qb9XJthz+HwEwNHfY/PzztCjuobm3jkHgRAVFElRoHreOdBqnUmEJtob3zXYCedXReGVkcUVcAHojy92+z0cjxtvfkszOteiBIFmFq7nAm1VndKTgGByWTRPLpqpkPPBQ2jebDL5uVto+7ljZ3opQLM3TV/OlRdmokDjP9+vDrhjfYMy9DFy84oz2UAZf3rA/2TwuI0/PXJIeaK24cICmDUh8J4pkScBbT9bU9NsGHFRNNATLrztxK4D+ttsJibF3SAxs/i7fKBx5f5m/woGE7jqzSONb7/xeqsvrHdibnEuFzx2dWBVdHY3HWubfTICklL0rBiBcf2x43rHTDOnbK1vqfrsDoq7ctqJinwZTQCgP8YH5xkCZoY7WfEWQ80gQVy6t0yaCGRf00G1fSEciKRRdaSxpelkq39qtKNdP0QDLBWt9PZBcejPIpckLiYIvK25tqJaNUwBO7Py5aIoYd6cHU2HlC0NTTqHX/aUVd9+BYDFFz0xZTN4OxRn29FDOiKgnPq36k41H6prMnifj4C/HAGw9waM1CiruqElaCxC/0F37O1mZeOZgJ3OJ8zt3QQAsvybgvjyZVhwYn6VscDOkkkTwNn5lnKQhqTcvJQAr9kCiMb89Dk65JWuxteaTZOArM6d3spRlCJGAcjOMw16X80kcc2+/VpXoENwsl99tEn10yaVv557XIbf9ZMA6BOiuHYeCUvMbSQmqYmxYcYHmln6rBgB2nL+5wbfF6O4mzb/6TwxAnZdw3k7sITy3FmdBfGaeXMYRsUNkro+hwv0SEvDBQJY4rzcmKalxKjSwdyJ/utBZlGXe9Af/2L/wfN//JzF/vZ3C5/J+DYXoRwfdfzXhb4/Xjiyi9779ktPLlnM7O88vIw0kcpq8wAiTvePwiJIS+epCScAmpodFNUZTSvbU2zbpbGqXy41pq5by38cPrMP9eEOCpDkzXteiD5BFJGUvFJqfU1lxVU1pRq+cNUTXJRFU5/aL9tdlAcgUVz+cokkiv4KNx/a7ao5rrfpm3bpm6YLhZXXZvfVNC6c5YEVPiPpbLG01ZX+ITMjZTkHKOcVs3HklihViAyGOBjvBmjGvxfyezX2s9vK8Ox/kvCWgJvA+/rtIMYEZHCQ5FhZKtu1Ha883IWrdv6gA5N+h4/CjavmAcs4DUszK8szww9NWEJ5cbr2uNl4vPz5riypkAOT16/29+LjXEyM4taFGTVJNshEF1psHgB0XeEswfAQUckr5VeqlcO62lIzlpG+kg3UmKWv3056EMGG3VV+l6O5L1WZ7PWdVlVVqTEta1USQrtsff3Wz8VlpZIWVU9AumjGS7UbiT3ncdUORfvqdWufeBzx3Lh2aQB30ZAgVFRumr/pEIYErHzfDuq1JsPIuUNV56YPs3N27OLratULNihliBlEUvpK+ZVq5ci52pJOSeqaldxH4TNiqB93UIAkySp/OC2DCPajHcWWOo1dV1uGSzMwwRLaPYobh0nBpjJ5R3N79EXaLH5xVQW++4Sp58TzIzppmoS3hHaP9BvtbkC4hRUlM2rLwvLWc9u1rvZ9pUN8Luc73z+4NUJrjZ07WPEWRc0AIKmgZqd9yz69Rf1Go3DeC7mBKy8p0O7VWdQ7FYPrclYvRz1uh7XfZHXTLE526SZfzxWH/ixySaJhO19d3Ob7z98p0rcEH00uqKqpyI4atEFU9Fx2xxHjYNOW8t7sNCEvAdyj+NQNFpQUrvCd5+1QjnYZT70wpMWkEj7nEdp5pd9kddOAYiUVUxGyl+YW57TiHXhj5XPGrPRVSxGaJIb6zLZHMIyL437DHiSt6AcpPY3DvYfKX/h9FiZiI/Q4YeozOyhAkou2TK9djzFfhgUn5lcZE4nrns5AjZ0UBSDIyQ2q1QshGvPT5xnc7QcU3Q/N/P/zW+6p/ey5mZU7Cqb9fUjG9xXiXqXVZTj+gknN5yXQTsJFPZZZvvFvyla/WJCJuaUbdUNqu3Zv6eW0rLUrOHDr+tVLvfgYDShWqoi41jUOYm0jMUlNrA0zTnjP/LhQt1Mz1qtutWaXi5E4ij0NN3+9RDWCUxOArJZlxzC6j9fMm8MwKm5YmDyHq9W4qElAVufmxzaRIVaVDuYO9F8PMovppPhT+89++8fPWex/3tGwK2fqS8S3v/Nkblbbwb3vDhjO/Cq/8flvPVjxQpLSpUktNgIkaYG72SSvk7LPaUlkrXRNyA2jkrLjp/nNJ9V6vL/L0Q8AAAlcrPC5baXrBbOug00QK948JWo9o7rQayOsJsI3bxjhiHKeKS3dLJ0toBU7Z8fp78gMbfqLVteNidvIV0VSeVFx2kPt/THec2ys2HywHhoaW4323nZ7LwBAAje7bN827q8V94aTAhLE5YfrkYYmzaDVoLMCALBQUf6OPZvok2VzN+vZOa+c5ogala2GK7iB8PaaiCBjc3lFSZRNnnmy2mP0W8d+0WXr13urBMLFFK/tXttfiS/UzPAVMnlKa+MgzcstkM461kCExftP8dRNKq0Z79RN3QZbLFf8uLwgKPQ9J3v38WP8d06e77X16W0AAAgvraR2d8HNUy0h6aJY+fGTK5pPq/X4SG/7CAAAsBBeaoGirEw+561bZ70bvqxGick79IYB63X3TTqBvyrz357dIL7ZGrKPJsOdAREWHzrFUzepLpgtfV2WqYMciWzTlh8VSPynOqNY+ZuHeT99R9VtN3UQJgBgcSQba+sVyPsdMWTElx14m61WNmv67KaOKeVBhesV5T8uTvGvyAhW/kbN/33rtN7qHKWcFG57MTPeePJh7vKOVbzFUTMAQDMqXlfYtrXY248fEDUcKpzfvpNoakXjfvZJ5XmjtVdr7Z06uCJTUfqSIsPPdItDfxa5JFGg3OS0owlB2Fzh8m9h0vUyeRZ/9hKy19ccRwRNZ7SDuEE7NbjyBvyvDNxbhJ3zyumvSpTKVoN1ukMBlJ9eXFKhmNlMEpVuP1yT8NZpvRXvmHpcbHFBXZXMcWhrwMiWxS+sP4z8rFmtx016wjSVMQcrKNnynEzkJ8Cx5cuw4MT8KmNMLS+L3aknWcK8/JBv4AsiGvPUZx/0RMDseSQB5QlFa7NkxYXrA8JdsfjF9fX0qSZND0G5CBsg7NUFNTvKUvE6ZUB6iKjk8LHEd06f7bX06W193msRQVpRaXlJLCPtWIixjcQkNTE3zPhAxM8qMtuP9jouvKstOF6cFEex/W5TtvZnuGkSWZuXFdsmoHGaeXMZRsWNKPdpwfmzDg+yNnCDm2jErNLBLH7/9QDzD//zP/8T5WfiU6fH4/nKVx6bQ9J/+lXVi7/845L0nT+rzQ6aMeE6X/3if/wByd37ix1PPhT+6oXkr3/97Etf+hL3a/e4t5+mCMLhvgkJywQruBE3VI98OTlqv/aXm7c98HDisuVCfvTNe2fDra1SNI6g8v2aqrT5pBMETY7arzlv3k54PDlZyJ5zKLLFhB632xw3bnoeXSYSCub3EAOTJRzOGxQ8yuMLeTFu9uGhnHbbNTf9MGe5SMhFF2NaQbx4KOco4aYA4XAFfE60p+OhnHbCOQkojy+aJR4iAAA1Znf85SYkPM5J4vPukmzbVC9saSUEm069V3rHAyveVSYmbgJAYuKcNhJaWDwUSRDXJwBQjmBF1DpPuWyj1+NrUIGXO4jrbvphDo8viFI/acrpIoG9uHVy8SreIqnZguOTx4c5PKFgaeRyxq4/i12SRcJXLdHZbpCeIBzEDRoeRXn8iOWkXDb7tRuTyKNfF0miu0poykkQzonbSOIyAT+a+RFTvg80d0ctY3+V82ZhRGOe+hwvk5STvAVL2LzE6AWmSYK47r4JyKMcvnCRVD3GNhKT1MTcMOfPHWja94KZtwDErNLBLH7/dR8xMXGTxZqKOPE45yuRTls8JwXd++YPD/XQa7a8d0Ae4qi6ptn+k1/+8SsbDrz74zWLP/S6T5wUdwdnf69bnCkJ0ovJ3kP/zxsGiq9oPPMFG68xPPjQhHmIxqTBLnx3+97Shn4aq1AfK/xiTcC7h5wUDzRMxWNguN9h1JKBgYFhnsTopFjEwJmffw4ACPJQOG+R1zHx1z8R8ezzzLDgOM7v3LL3jT17W0z+8wYnCcOpM4YJgKSn5rwXMQPDvQmPALLKAAAgAElEQVQ90rKtoq629oAmILoHZdO+/V4/DYhYmsYMFBkWHqbiMTAwMDAwMDDEyOLFpEC4X/sKwJ8Jmx3y1wT99lfLHwgPAMvt/ivAQu4iwRAfgpx/z9YdabeerS3Vi1K+vZLzKD3huDpidVAACULFjo1z34uYgeGeBBHnFqbqG/rMyh0KrRhbJWAjNHnNgltcNACKlbxUyGwHxbAIMBWPgYGBgYGBgSFGWK+//nqUnz+7Sf3P//zPI488PIekExFn1++vuq67EzNzk/1nxn126d23fnX1FsCXHknOL1i7+F+P/v732//wD/+ALvnyoud03/FlfmZ++lf/e/xTwvHJH0dtdvsnfxqfYHElmf9W8XJVYfI9GTSCgWE+fClxZU7uusTPr39K2D755BO73Tb66V/+niBYk7mxYs82Gf8LuFDw9m0aAOam8wyxwlQ8Bob7H0YtGRgYGObJ7dv0l770D95/fznhkUinLWLgTIA//27fzsZLt+BrT/7w+ef+Nf0bS1i066OOX5z+j//vz0u+8hD5179/49mGxh8+Mae044GJSREL1LjLTdEIyuYsXdToPAwM9wr0hMtJ0oAs4SzlfJErPbPK+g7DVDwGhvsURi0ZGBgY5kmMMSkWcwtS+Np3d7zs2v/mB3+49IvDl34B8BALPvcAIF/754pS7n8e+eBPS9Als6fCcGdAl3JRxo3D8EUCSeQK7kDgcQaGQJiKx8DAwMDAwMAQhUV1UgA8tuaHhxrTDNr/7Lxkv07efogtWPVP3/1fhf/8Dfvp/wB4iM2N6D1hYGBgYGBgYGBgYGBgYGD4YrHITgoAYLG//d3nar77XMDBP39i/wzgiW8H78XGwMDAwMDAwMDAwMDAwMDwRWURnRS3bH09f6QeXv7kP38reAOPv5oH7R74BvYd7uJlz8DAwMDAwMDAwMDAwMDAcF+xmDMpiI7T71z6/BvF/JPf/6b/Tpa3LrVqP/yc9c3c3G8uYu4MDAwMDAwMDAwMDAwMDAz3FYvopFjyT/LcX1z63Z+0R9/95qEfZ3zF66f47A8fNLz1X3+Gr+R//1+/sXiZLwIUYeq+iF91OCdoJOFx3grJ2qxMLClkvcqE1fA7i3uJJH+DOHgCyVyh7V3awRvIiqcK06amnjj7zhkJ4GUUZfMXKA8GBgaGOKFHe7X914MOIkse5z0hXiXmonelTPcqDm3dHpUFyXmpYef6heoaFp0Js7LmqNYtUtTVK8TM4kwGhoVggjD1XMSvOtwTNCQ8zhNKpDmZkqVM+5onlK1DP0Q+vvaZ9aKEiCcxfRYDw33EYs6keOTJ51/aYDnc9qf2I8+bv5mS/DVk8s8Wyx//SsNDTxTWPv/k/bOzhxtvfedka69j0v+gTt2MCHJLdr1YJPGP007iGlWLjVu0ViZms2BBuGXRK5txVMafdlJcNbQou0HKLsjmMx0bAwPD3YG26JTNeNifEC5WXLG7NINzh4t0r+IydZqdkwCdxpEX12dHtqHvLa70ttspGnBDP6EQC73H6HG7zUkjPKGIGVYxMMQHZdG8dbCl10n7HevQqVUcbOP22pL0AKORctlG3TTKlayYs4pSjhGCYqECMf9BGn5HkCBySNustGOV+VGdFEyfxcBw/7C4gTOXPPnjY/u//t4vtJ0f/XHg//wRAOCRr617pviHP8z/5iOLmvPC4XEZjr5yqNMFgLDFmRtyMMHSR4G8ZrvSb+y2Ojqbd9lcdUcrpPfNpzEGBgaGBSUps/R72JQR7KGpCcLW32O04+p9O921x6uyGJsPALjysjLHeQsifU56v3goACB1c1Xxzd+TosIC4fQxh+7ItlZCVHLmtIKZyMfAEDu0TV29q8VOI1ysoEC+TriM8zC4XZcH9B/ocbz1QNVk/ckKbMabYD1bs1dPplZoDhXM0cCcHFDVHDFCZt1vXs1eoG9m9wILIEFMn8XAcD+w6Lt7LPnWhsr9Gypv/flPf6boh1Dusq8tua+00qF5o6HTBQnCwt2vVmZNB/rMzIPNpYpeZf0R7aju0Amhql7GuCkYGBi+iPCwDYWBZnRpmaW5epfG3q5sladVSJgv7gDo6qKq1UV3uxRxwuJml72afbdLwcDwIDCuP91qp1n84v3Hy1OmfRFiScZ6eXbztr3nHBeatRtOKVbcxSJ+YWD6LAaG+4Ev3aF8lnztG09885vfuM88FDCuV7baaeDk7dzn56GYAknKrKwrwxKA6jv7wUj4BGiSsI3gFitBToY/YQrK5bBaLSN2B0lHPS8GPJTTbrWMWG1jVLhfaYp0k9RULvQ4YRnBLVdclCdqmpNuh9WKj9idE1MH6Ak3OZ1KIFO3fGW2W2ZgYHhgQSUlZfKlAK4eg9V3jKZI0k15ZcFDOay4qd/qDBIRr3wNW22EezYppKkxu2UYt4z6zvRP33vAT6bocbtl0IyPBqtirHo16XZE0VUflIuwjVjDpxZSvDD3YndFUFX/a2mSsFuGrbbRWR/RzLVh1HoyfHloyk2S7unTA6R+kiJJ941bNADQ1A2SdJMkRUfvOxgYGAAAgP4It9CApBQpUoLXXqApmxRZXDZK2mwUgM9Om7j5OQDQ1E3SHUE6vFKAW+xhTDiKdJPkTdoDAP9NjbvDi8CsAhgo2k671eJnBwakEK4Mc8woisQtogTdgT6LgYEhPhZ9JsV9jaNDZ5oEJHXTlpwIs7+SZMU5rbjeZeyxlq8WB/xEWTXHj6j6XFOyhXCwwu21pelBgSrIEd17qlbDyIy6ocL1ioqXilfHv4TQ4zKpm5Ras8NnRSNJWGFJRWmuX+AK4tyuihZbctn7dUJDwwl1v694KD9P8ZPKjeLgXCmr9qfvvN9tn3KesFDJhp/s+dGXNRU12s/Sa87W5/ldQF3RKZV+98LiSHI3bnkhMGYHAwPDFwFEIhEh2nH3NYcbUjgAQOoPFJ/CecXHj4k7DzbqLSQNLGGp8tTUjF3aZVQ3qS74yddScd6ml8oLhKFS6OxpaWw+ZxrziWtSeunLu/Nt3vRPvV8mBADw4EqvTKlKKOURZTdBAyC5r7ZVZ3qvilWvJqyan77zQY992oGM8jMVO34SKNG0o7NF2aI3TbswEA4m//GusvU8n/h6bx+V1f9mZ3rAhR3NJ1v0uE+JIYErlT9XXrJe4LcqZPrRnc6xNLzZYiRmblxRuV2RGm1yMj3S/EKNnuQXnVaWiWZ6H3f7vtKGQRpWV2ga/L4oeuzqHVvVBKfwkKoyFZl6hqS4XHW8mAsOzc7n1YT3RMf5muLzAIDK92uq0qLkz8DAAABA0/9NAyDhP9ShedU/z5v+33BTaY2e9P57pOX5TS0AMKNsADBJGFubVe1mx7S/IIGLyZ/bVeoTHE9vQ8kbRq9OeMwNJQoAAHHZ+yeKeL4rYhHAaeVpTO0/0HAOH6cBAFiopHB3fXk6mzSrGpo002YkW1y8Y295SEyHuDKKLnGLK0GL2WcxMDDMAcZJEQX3UL8dAJHm5UZeyoFId6o7doYev649/Fq7dQmWI1ueCG5bv8nqxjUHquDw6bKZIOlk55HKo11OD6B8LBsTch6inNZ+k7VLWUPQJ44rhPFMOPMQ2r07GwcpQDiSjDUrOQ+7HbhpBNcc3nl57PCxoLRoQlPfoiW4WK5sOXrb+dGAaZQwKF+jHjl1YIPfhBEKV1bVaUZpQLlYFrYcBfcnuEl3ZA8UrQzJn+pv2rZP56AB5WPZEi7iIa9eMls6mrd9ZKs7/kr20jhuhYGB4QFgyhz/v4FHR1tf15ptCXwsg/8oPM7zDsVpu2ZvtXKYggSuJAtbyQHqU4tp2Np+aufla7Unt6b723xOXV3lKTMJCDs5PeNbXGTSdbnfrKw7SufdDlMIz82Lja8Z+yheMrbyqwismNLyWPVq0qp8uVozSiNccV4Gxkug3FazYbhXuddFN5xS+IYMzrYD2942UyxUlCFbu4IDn10b6unFtUcqP0POVGdG7j4oi6p6V6udZqGClHWrBI/DBHG5HzedP3J5xHHwzRJJUPSK8c5De3VDj4izZSIOuC6bzbYxs2rffuTE8eIVkd/C6syMRH37GG4aA9H0Cm7qQ7OVBgC4MtA3USCfHi2MmU1jAIlr0leH6X0eFT4ll12/jnfhLgAulodxEUAkX42YNQMDwzToE0IBy+wY1mmsWaUh34MC+CqWLwO3EzcMuwDlZ2dIUBZwkn2XTFrVNdUqKw0IR5KVtioJpUn7UB+Onz9SSU4LDhfLl6GTjr5OK8niYrnYMhZA0kz4zPgMNpf+wIHOa1xM/k9s+lOLaZCwnD9Qh5St6mvWkHxpfjqPdePqpQHLuFVz4DVO4yl/OYovo9kkLqoEsVfmFhWncFfOI+DdIvVZDAwMc4NxUkTGY7MRACy+RBK/2oz1GhKKjqnKsCn7lLZp6nY1444LvzZuenVq9sEk/l5zl9ODSDbVHyydjpZE4U07d2ntGnVv4WvrY8/Y1npEOUghyUV1+8qmo3hSw8176s5Z1EfUaWdKk/3OtuvbxZtPvlfi82S7Taeqa3WESaOzyaa/ttH4z05oRmkkuejgvukbAbLnRNXhswYawN+InehtbNA5PJzsrYdrCnwTN2ii/Wh1Q3dXQ5N09Wv3z657DAwM88djt3xCA6DLkgI+rDn7cYHslfe3zkwxAACb+ohymEL4spoDO7J9blLKevb1uhZcd7Rhlaou16eFY+eOnTGTLE721sM1G3xSM2nX7KtWng+7wM1qtGKlJ2oV/qOCmPWK7GjRjtLI6pLThzYLps4rK2yt3qayatRdUxLtwTVqMwVcuX/EtZLehu1vtHf//DfFmaUzQScDoPqbD7ba6QSh4rXDpam+4pG4srZOc+XswZ+teW8r5q+yzk49sqFevdU3HY+yqmqq1VesH2jMhbvTI7q0ESw9FW3vJIYG3Qr+VPHoEdPQJAALgLbgI7Q8a+pqcrDf5gE0NXttuOTYWSVVWWBT2be0EiJZRQ0TOJOBIXaSn1Fk6Q9129Uvb70sKyp+Jle6IoKJx19fvnM99J8YHNaTyQXbdgdET3C2v6u20sDNrDrwinx6muyYrrayyTQtOCxh4fYdMNlV32M1grBw546AwJlxGmzO7k7OpsMqn2fF2Va35W2zpbXJtqLg2LsVWOLU5Zq9O5XDdq3eWlwunmNGs0lcVAlCsY1lWGyvIjyL1GcxMDDMlTsVk+J+hP6bexKA9ThnDsNrFr+4amZgD4CINpbIkwAmP7Zc8R1LwKqUZ47VHq4v9YvnDChWkCtiAWWzOWJfaDfZq9Ha6QSsfG+Z/z4jaErZrk1C8BBtF8wBi+VYfEVlid9cO470h9/PTgBwWYbGfcfITk2HCxBx6cv+NwLsrIpdzwSH53Bc+KWBBN6G3TP9EAAgfPn2l/LYQPX9tsMV870wMDDc/zjbWtvHABLXPbU68Iekgl3bA6w9oHrVFwhg8YtfnrH2AAAVb679UToKlFGjc/gOWnQ6nAZ27vaqDX5SkyAsriqLsGsGIv3RbkXgd8vY9eo6cZ0GEKQ9JfA7T1S89+SJn79f63MiUy4nCZAgfsp/njM7s/zA8ffUpyJ5KADcBk2nExBJyaszHgoAYGPle0skCDj1vzKMB16xVLbtRb8Fg6hYUZLLBiAtH0btLJC10jUI0Jb+/mkvjm3wQwo4hQoZD6jBAYvvMNXXb/edz8DAsLBw8nYfrikQoh4XrmuqLS/eoNhae7RZ222PKxYZb+Nh9YlXD+zz81AAQJLsX9JQ8LimolpEJW6DjV+wrWRGQ3my/5XHBgBEWlyCJc5cXvjMGgTAOTq9+iH+jOYocQvDIvVZDAwMc4ZxUkSGvg0eAPjHCGsIo8LG1q4IPMISigQIAOX2j12E8rEccbAPhP4cAODv4QOohS/piNk0AWhagTzYewCCrCwRC0jLxwESz8ZWBRUP5Qu4AOCmpkNjfmQeogFZnZsf/LUMkeQ/LQh4Ji5Tvx1YfPkzWLBpi657CkPBY7d8xEQUYmB4QHETI4M4Pozjwzg+iJs6darDW7f81EwBiimCd9xEv7VGEqio9IhxiAJIlsmTIQh2zr9KEwFG+01j3gPE0KALgJMjD5lMuzTr6dRwI2sWH5MErZGOQ684PA4AODp1Jn9/AYsjEnPRGUuay3kMYHLgt1q7//gA5YsF7MiD/Yl+s5WGBKwwL0S1k2TyFARoy8VLAeMNRIIFxZxHnhAuZwHcom5EzAYAAE1NX4sAbcWHpiLA2U2DbkhMSy/MXJsIJD5g8/YOkx/iVto78yJqegwMDHMC4edtPfWBsr5yY6YkCaXH7aaOc40HthaX7GzUWWf3LvhSYYszpSuCtIUGDwDQN2/dmu3yuA02VCQRBYj2oygKAGze1wOEAkl8fAkA0NTnc81ozhIXN3euz2JgYJg7zHKPyCQ8irAAPH+jJgOXNsQCgoSx8rwyFxqEeRQf+oPdMUo4xlzX/3LdMToVJDncAuvwuL2u6z/oGo6bg0tKO254AMav3wAQRSkeC/H6YqbjJLvHXDQAb4UozDwSvmg5C2b8xJ5rDgLAc2tIc8IZ7NC57bbRAPT1cRcAMzeYgeFBZFRXX6MLPohws0tfqSoMGYGHaKmbICgAXrKEF/wLQIJIsgIMw4TjU4AkAA/hcAGwRKIVoaeiK4Vc6CFCjiPBOcajV7y8TfLf1LWP6mpLOgUp66QpGJaKrU3mBiTJwoqfFRuVVpNy67O/EUufxLA1a9amYoLoAYPHiGseAP63V4Y5DV2VzIV+4jrhApiRaiThH4Mf3kMIAIBntr4iMe2p1Yhp8EOzFbJTAVz40BigWelrUYxOQdp7psJV0CPmQQqQ1MwMJtQxA8OigfDTC8vTC8uBGrMO9fVc7Ow0XrFqT+00ffxq4+4oIWwCmXTZhq2XRx2OsWv/P3t3H9fUlS8K/9fmzPbQbg51U8dExqA1aI3YIWhNYaBYGe1kDj2Zh168eOmhB48cHBmoL/iGHitW8aXiCxQHDj5y5TanXDlym9u0GWFioTDQIBJGQnxJLCYMJh5lW4bd4bD6pPP8EcAkBAivYvv7fvpHTTZ7r72z92+t/dtrr2Wz3bNa2r2dG24MDTbK053CiE/vRr+hsYe40ZqyOgshNA6YpBgabzb/eYC7VstdgMlptHHXL+adKtU4zYpHzZwrfnmx7cp126jW08MBANxr1lwaYgk7GW1PBo4QAKB9PD1S4/0NTQEMrNH+F44AANv8+0vNQ6xt1JtHCD0pfOZKX1nQ37NgBuVD8wPF0ohwTwlOD7geAgA07fHpPU37UACE6yEAFNgJsQPw/ob29GaHx8ywB6OKV34rtp0+LDxbcuGL65amKktTVVkxUDMXRK9NTXGaC0kYeyT370oKSy9p26/XfHa95rOPACjhy28kpSRGzh0iw93D9doBaNrX05eOJ5Xd/9Xt1R6NjHnllQXQdF135TqELn54tdFkpyTLX6KAkiwPob5ocAxXYbrS/BAg5JWXcfwghKYAPWdxZOziyNjEpC9Lso9cNPz+ZIH0pd2vjhTHyL2a4lOFquZHc2FSNH9eiNTPoB00xbIHU9Zgm84twymrsxBC44BJiqHx5ooX0XD3nu5KOyweshfAQ/2l31/nqHkR8pcH5V+Hd/eT/XvPNnMw86evr40OX7IoUDhnNk0BdF3KWDe6JAVNUQAw8+c7cxIWDxEUf8SM8qUVR3qi88+dHnpA9PzFZT5o3jMUBWAPScnbHOn5tXCY8XejPDgIoSfF4jcydr0x5jtb2ocCAI7z2LzmuB4CQDtCHPCeoX0AuL+wfwYYtD2ui/Vqe6ONVzND4raHxL3DWq7faNU3Nzc11Ohvqwt3tbLOUzVRwp9vOPTzDdy9263NzYYb17R/aDBduZh1q33bmSyZx7mNfOgZAMBx3R52Bbo5DgBm/K3HDMZYzHz5Z2LedUPTFYt9rlFnILwFK5bRAEAvWy7mNRiarnExc7VN94C3WPrycBOaIoQmGsV/ZUNGbMN6RbtWa4BXVwy7MGk+uzNLeQ/ouZHyN1a9LA4SzubPpAHAcCZBe8eLrU1Zg206twynrM5CCI0DJimGQUkjl8/8vMp06d+1sTulnrPb935/9kzhdQjZ9Jp8lGu3ffl5Mwf0y5v/7eDrLrHy21Hnlpm5c2m4/Q0HzJzZE/UyMX+ecCZcf9hyzQIhQtevyK3mW845Yp5AOBvgTidnn83H7m0IodFwhC/bbYMNFrv3niUm0x0A3myhIwbxAoVzAK6bmls4ufvzxnut170bnnds8YpihD8NF/40XJawKen376W9X2dR/Yc24V/dGt/07AXS1xdIX38z6Z+vF+/YpbjdoLzULvM4C8acuYEU2O7eMHIgdI/aXOutewBU4NyJa8HPWSGdd9Zwp1nbLjLpCcx7WeJInTwfIpkHzXqt7k6n7i7AvJelGMMRmnhss1Kl6/qR6NV1kfM8fM087w/QTnr+MsLzd3uzpuoe8GbHZX2Q4jpPMPl2qL9xNWUNtu9vy3AUdRZCaBxw4MzhUK/8j18toOBB1fHTVTZPYwvbPjmjuE6ADpG9OuqnT4TjAIBZ4N6/jGtpNo1yHGMqWCqhgTRd0gxupbfXKT+rMz0Yfae64PBXZgLcuVT8uevzSfs9dennD10+mit9eS7Y2zUVzYM2wxk+u6j5Yzs3+SMzI4SeRI7wBdcvqW+7f/Xwi0s1XQBzf9Z/5zw78meLKeC0peUm11jDNV0su+7lBr2PV8T2xyql4pLbtvg/iwymAMhD1jFE3cPb2s8uln3pGnzpxZEvzwaAzgdDjPjmF7JiMQU9zerBUfvuJfUfCVBiR2eHCeLY69vaUk1TFwhDVwgHPg+dDdy13yn+YLKD8OUVXjatCb7Ch9AoUNYrFxWKksLPBocdAGC1WhMA8OcOej3MbWn7/8f1APAWiBa6Lmi/rTMM2ZWMuDTApqzBNrkbeowhaDR1FkJo7DBJMSze3Lht8WIfePjF0bS9ZzW3nOqArtuas1vTftvAAS39503Ro+83xsydSwFYrvzB1PPoQ3Lnk5yzdV4P8tzPLzxuzVwgzYUHz2qd8wddzcXHjuadfm9/qWHU4dxnRUJCCA1szYmtWWUNlocE7OTh7TrFgZ2FHTNnur48InrjTSkNts/eP/xJu9OGiOXSyXc/OHv43TOah4AQQh7Q4QmyuWBvLzt2xjl8kdsXj/9bHQd0ZPzrA3fO/JhE2Rwgtz/avfusRn+PI0C67jV/dirj0KXemd7e0nsdrx7WFB/NKzmTW3rbZTH1JR0BeF4UNBMAgNz85Pjps4V5/+YyY2hXg/qLdgAq8IWh7vpnR8e9xgfSXHK0WO8U8ruai4+VGAjwf/7fPb8nMlaiV1bweaT587qHwEhefjQzqujlFTOB1f7hOuHNlr4y5IypA2g/GgBs+ma3xD3XVJKRlLB+70eGRzUaMZW/uz7hnzLONjzawwd1eZv/KS7lPfWdce8SQk8MOlIWPhPApjp1uPy6y815T3vNmX15X3JALZb93OkC9KN9eQB3Gpucm0+82cLZAORG7RdOzVE723z2ZNmdQduknqF9AMiN5iaXRuWUNdgmaUNDhaCpM5o6CwMjQmOGr3uMgFqwLnvft5lHPjI0XTzcdDHv+dn8WTR0PbTcY4kdgMeEJO3d/cuxdMqlX/lv8rl1Zbc/St/QHBkm5j8LbHvzl1duw+IQ4cPmUc6xTImTdqbc2lWov7gn8XNx6EtBs33hz+26K80WDqg5r6f946ApoLzAf2PP/gf79pderzn7bs3Z/k99FiRkvWHZe6rGedHnX894pznt/aqaD/5FpwyRiucyf0tst65or7ME6JDETfIJbW0jhL5HKFHizpRbuwr/+MmepIaQV1YEzQTuruHLK7cf2inhL7dve82pn5pPSMqBzdy+Mxr9xcPbLg58PPPVzRlzP9mj8C7B6228mi1LfEO59xODYmtC0/JXgwNpO2u5fkV7nSU8JjIp3jEvHfXym2/99A95f6w7nPIvl38WIppJkQft2i8bLBxQC9/c+PqQnezolzdkxpkyyq4rdiTVhC6XzPWHP9/Wfdls4YBauC7zX8YStIez8GfS5y8q7wH4vbRisdPni5eH+n2i6QJ4fkXkoBn1BuO/8lqI4nqz/uz6hEvCWYLozVlxCwCA05ZfbL5L4G6psmmd+GcAAGBvVioaLBxYyv9PTdwKmR8AgO3z/1BevwdwT/HZddmmxcNtCaHvEfpnqRny21nK9prCrdoLc8WL5vr7AOm6p9fffkgAeEzkr7fEOb8ZtuC16HmfFN9uOJyUoJgzMyjmX3f/cjbwFsjiVihPNNScSFlf9TPpAgZ6rMYrdc0PZocsppvdpjHlhUSvnK1W3lMfSNLNnc0s/R/ZvwmnYQobbJOzoSFC0FTyvs7CwIjQ2GGSYmR0aGJu4UtKxf9Wft5seXDP9OAeAABFC19+PS4+XrZ4rD1yfRanHMmics6UNV3XfHIdAIBHi36+OTOe5G4YbZICgFoQd/gDvuJMsarB8GWVoe9DRvx6/MZ/fkM8xtlJ6JCkEx++Vqf+rKb5zr1uMsN//kurYt+MnNN4eNCiM1/dWTBLXFhYqrnerGnvG8uZnrsiLnFTwqs4aiZCaGjUgriDH/AVZ4qVDc2ff+IIH9TMxbKE5JQ33CMsNff13YUhst9f0jRet7LdxGfukvB/WPvLxd2lg6aUG5qX8YoO3ZR3cGZuYXnN9Trl9bq+D+eFJySlJrzS3wzlzZVnHaH+37OKS83aS+3avlIyIW8kbvyn10XDZRpo8YYTBXPP5iouNV+pslwBAACf2SHyf0pPWikcYqi5seMtiFzGKD9jqWDpEudSUeIVwZTmD2TmsnCRN+Mrz3ljfxaXc6q0pr3d9LCdNrBxCxgAekl4yMymhoczw1eIB7YoWvHKbM3v71E/DZf010H80JfF9HUDmXd1pLQAACAASURBVCt9BSelRj8otHTTBwULHdMAtTd/OTBfMsUPfi0uKVEe7JrQ5C1IOLCH5Jwpa7pnuc3adLe3/XI2BcB/fc9xcvL4/6oyXbnkCBrU7JCEfdslV9Ka3V95o0JS3tv93cmCS9dtdzgb12z6dXgID2AKG2yTsiHPIWhqeVtnYWBEaOye+utf/zrM1+0dNrvd/txzfzdlBZoMX3/956effnr2j8efHCbc3Xu2Lg58GL5jJo6JQB7cNlk6u+2+AtEC4cxxr9TOPWxvt3YB0Ixw3mx6lJN6eIVUZb15tAZW7L6QFT2oJU262i3tnQR8af5c4fM4vjFC011XVzcA+PlN2FwSY2fnbHfaWQ4oZrZwLjOq8GEq/peNpe3C+A/OJY3isZqX8Yo8aLfYOjmYwfAXDLkY4Wzt7bauXspPIJw7qgqCcO3tFrYbfATCeRNWs0w27sE9lvyIP+fRz0Q4DnxoyrXS4bo4R/fsRwjH2WmP88giNM1NSLTkHty2WDq7ewBo/8B5c/l+w13zhLvHPgR6tmtksHO22yYzS2YwgaIFI7X0CGe79xBmzuUPeqY2ZQ22ydjQ4BD0GHhRZ2FgRMhNV1c3j9c34oQ/89xQi2GSAg3Nzhr+YBG8GuI+4Mb1s29tu2j7u9ePKzaHTEYSBCE0haZRksILpL1BR0KkC9xag6x6b1LOFRKySXFcjpNoIoQmxZMVLRFCaBryMkmBA2eiobCaQ2nph97dfbrO5jzq5oOGwrxPbHaYGRYuxgwFQmgKEX1J+qZ39+w5VOby9jVnUp4+d4UAtVj6MmYoEEIIIYSebDgmBRoKI415TdR00fTZe+vr54qXLhD4AHf/tl7f/pAANef1jMQVT0ivZITQ9wS1+DV56KWcLxsKNycoF4csEc6kyEOzodlwjwDQIYmpcpz4DSGEEELoCYeve6DhkPY6Rcm/f/bl7Yf9nSmo5xdIX30jIeF10VgHDEUITStPWAdmO2tQlZ77+PPmu/2dKXi0MHh5dOw/xb0yGzOnCKHJ84RFS4QQmn5wTIpHMEkxXnby8N69bkL5+s2cOf6hPRFC08kT2uwmXfdsDwlQzzLPM0/KYJMIoSfaExotEUJo+vAySYGveyAv8KiZc+a6D5+JEEKPD+U3WzjGyZURQgghhND0hQNnIoQQQgghhBBCaFrAJAVCCCGEEEIIIYSmBUxSIIQQQgghhBBCaFrAJAVCCCGEEEIIIYSmBUxSIIQQQgghhBBCaFrAJAVCCCGEEEIIIYSmBUxSIIQQQgghhBBCaFr4m+G/Jt9+C3+Fr7/+89SUZpLY7d/Z7d91dXU/7oIghNC081+9vQAAXY+7HAghNL1htEQIoXH6r97ep596ysfnb4dfbIQkhcNTTz01EUV6rJ4CHg+7jSCEkLunn3oKACMkQgiNAKMlQgiN09PeJRZGSFJQP/rRd99997z/cxNRpMfmQefXTz/9tD/zZO8FQghNhk72awDACIkQQsPDaIkQQuPkCKQjwmQwQgghhBBCCCGEpgVMUiCEEEIIIYQQQmhawCQFQgghhBBCCCGEpgVMUiCEEEIIIYQQQmhawCQFQgghhBBCCCGEpgVMUiCEEEIIIYQQQmhawCQFQgghhBBCCCGEpgVMUiCEEEIIIYQQQmhawCQFQgghhBBCCCGEpgVMUiCEEEIIIYQQQmhawCQFQgghhBBCCCGEpoW/edwFQGjCENZi7ujs9RHMm8+neY+7NAghhH5IsA5CCCGEJgQmKYZD2mrLtVa3DynaX/CCeKmYT09tYTiDWnWNo5dExyxlpnbLAADQpc3POFzOBr393qFEMTWqP7XWlVVbQBAeFyUcZim2SaW5xVELo+Whs4ZZzFZ5OPNEDVmWkn1Q7rS6HlP5seyiKgsHAECFpn14OnacR8nL8iCE+rCNygoTAUYSs0Y0xeHRa0MEkGnEEXmG/JoSRsaG86ewPN8PHo4q5UP7zgoMXiIW+E3EFia+DvKky1Cpbu2kl6yJET+OdgBCCCE0RTBJMRzSqswv1Hn8iuJL4tN2J4dPXTuhs1GZX2wSxEsmO0nBthnucpS/SCTwcfr0Rq3KxBHQVWgtiWLRqFZ4q7I4vwrCGHmUcOjsht1WrygstTGxi4ZNCvQYqqssHIFqjY6VC/sPBFd/KvNkFQu0MHS5yN/uGxY57kPkZXkQQg5208UzeSVtAJSEXv5+zPS8hfIcQKaTvsgz5PdUtACTFKM2zFHl0YFSeXJKwnDV08gmoQ7yiNV9dLbYyI9bJhMz/T01yH3TLRuZwRcFzRrPLiCEEELTCCYpvBAQkRwr6XswaCdcl+WWtqbapCvZl86+m7tzktoijw1bdTL9ZAsTe+LCFonTx8sTdsV3V7JBsfLRZSgmmE9EcpocGkhofPSj425v/aKOBR4/PrsgdSm20hB6HG5qqi0AAEBaK6vYmMl4jDx+HgPIdESHxiZEBXiIZlTAY43ATzano2onpIe1trXWaw3mOsXexpqY3cd3rhzrSfFY6yCzMvvXCktQ0rlzidOzcxBCCCE0apik8IJAEhMrd2m8bEjRF2a8U2pSnVH8vTQt+IdwX8zjR6Xsj3rcpQCgAmPSDsa4fka+6SYAPFHwoh/CL4HQdKTX1JjtECgRd+sMTRqNNTZO8LiL5ImnADIdUfMi4mIlIy+HRsPDUd3CmVRnsk+qLarDmYwgN3lslQjWQQghhNCEwtk9xoYOTkqJmQVgq6ls7f+McCzLcj0AAGDnzAZdvdZgJYO+cmYnHMuyXcTTJgjXYdLrdPo21uPXnhY2GNtYzu7pe45jWY7Y+8pmvWlo0hnM991XTDiWZW0cAQDSzTpwAwuRLpd/uvzhfYuxRac3WNihX6WeMBznVA7CsSzLdhM7AHzbV+bBx9POWU0GfYvB2DG+8nl3GJ2RLpvRYNC3mKweSjXkr+9+qB1L9n1A2DZDk1ZrvO/+R6zFpNfp9CbbeM4Bt3VyHSZ9i8HYNsQ6nbZtbNHpb1rYwSc5+iEg2k+rbMATxaQlreED3FRXtnlczCVIWk2OS8N1Ece5NNRp7LbYUKfcMNHYJYC4cgoUw14YI1xrLtcvZzMadPoWk3WiY6Mj9g1ZrQxc7EOVp2vQH4K3oWaE6mZguWGin9MW2TaTXmfQj7S2yUKLYnbkHozhAzGV5irdx6ByGK4G8a4OIpzVZNDrhji1vK8L3PRwLMs+cNTZXCfr+rsjhBBCTy7sSTFW1JLgIKr8PnvHwoKEAQBWnSU/pRPE554Waw6cUutZAjxR8rmCRGHfV7TskHqH1GUllrL05GIjP+7c+ZQgp5HArTXFJwvL6jv6WiZUQETyv2aEeS4HMWuK888q6239zRhaGBWXsjVByjitsDpn7d4qKubQh/FdhVln1Ma+hhbFSORbd6RE9b3gzKr2rT3ZNwQHV3lwbSUAUNJ9Fw+tpgHsuvzk7eWsOPXD3PhHL0RzRlVxUal6oKiO93tTNyeFTdo4DtU5a/dWQdjuj4+tocBSlr6+2Nh34609um4tAAAjO31hW6hj9+22+pK8/HKtub9tSQVIYpPSkqPH8v6xd4exD2dSF+UqVC0DPwwlkMZt2eZ0ZIb49T0caseSi1I+zKBLswtVJg4AwrZ9fCyGBgDosVQrCotUWvPAXYcPPzRm/a4NqwROOzmqwns8r8Ji1m9JihC4HjjupjI/X1HR0p9K4zHB0XGpm+KCJ2QsOvSEIFpNFQvU0uio+RIukl9aZqnQmBI3uL+YMBAkC5Zps46VNTlyZDw6OHb3oU1ShtUWHcsr1fafc4w4ftv+1EHj/nhzyg0TjV0CyIDBgYIviUlMSZWJXM53b641x/XbJd13IY1SZJ8oN7COAMWjg2Qp76bJAifoWTtXl5NwWMvNkh07ty3MaZxSsyJ9fbEJFiWdy08IdC7Pxd0C5eEDJdq+ZI3HWD18qPGuugFvoh8A2Nn6ktx8Ze2jg+kniknK2CIXTXlvBDosZePqmv2VBmW5IS5V7FzIkWqQEeug+9qSwuKLNaaBpw0UI16TlL4lxmk3va8LXJlL098qsfT9f9l2eRkA0DFHPt4p9bAwQggh9ATBJMXYUX23wa6ftin2lGuNPsLQcKEv+LuMPekdq2rPxhwtCxSzSBr+Ip/qsbVoa/Mzv+0OH/w0heiLM7aXGDigBJKIZQG+wJrrGg3VxXtaDGm5h+SBrg3H7obc7ara3kXSmCA+dBmv1hmsurK9O+G3BSnBPgBAzVshi5lla6nSmQkIJKuW8WcATyQYssHI1eel7y23EKAEkogwkYAinbcaa5vqFDvM3OmitNDR7/uo0aKVa2SLiLlOY2B5/NBoyRweAC3x7/tpLOW70k82ckAxweEhC5kZnWZdfYuu9GC6vuP46cQxNoVHOowAAGBSbE8v1vdQzKKIlZJA2s4atTX1WsWODO50flro2GY+6Gku+ldt9X0mSCKdQ0Og496tx1CSkVFkIEAxwZHS4ACasKardbqmsuyNLFW8N8LtDs+rwjufV+KIZS/4A2e8qjXUl+5vMaUVHHl0XnHavI37lGYCtFAStYQ/w87ebNTqKwp/fc14MDczCgcc/aHgqisbOKBCV0YLACA6OrBcYdao9UlpwR5nYbSps7I0d/iSmHCmt6O1vtGiL8vaQ6UE1xWWssKwNXIBr/NWY4P+vqE0K9O/oCB+vtOWRnXKeRmNnQJFkDRkEX9Gb0drvU5Xfiz9lu346aT+2YxGda3Zif5spqqCDVy+aiV/RrdFV6+zGVU56cRXsTtiQqY+YdakpV5uPapV5ytky1L6C2lTnig1EUqUnJHgGv/JHVXWibOtlEgas4RP9dhaGrXGOsUOo3lf7v7VbjfAHkON99WNV9GPqz6WvrfCBj78sDWRQbOAs7VW1RhUpzI6oeCYfMpHBqVXrA5nKtW2+jpT6sDI0N7UIMPXQRbljvS8+i4ARhQmXRJIA9fRWqc1qHIyOu0TsJu+osgYmfWu7nKTDYAvWS3hzwBqyY/HuVaEEELo8cMkxVjZTfqvCAA9J8ClaWrV6gJlmRc2rxr63n5YHcojZ7Qsj4nafHxfTP+zGs5Uui8jX+Xe0ZToCg8oDJyfJDn73URxf7v3fu3RjGyVtvBEufR0nHMbiKtWGVbvOLdrDd+xWtKm3JueV29RllQlHJPRAHRo/LZQYMuta0+2MGH/mLll+Deib5blKy2EEsbsPf5o9FBiKtmSXmRQn1cnhE7ByHmMNHGHFHou760xVIModse2KKd2uVGRnd/IUYviDmanhA1MBKIr3L6nTF+SfV56LnnRGDY54mEEAFKtKNP3QGDc8YJN/T9MSoJq38ajderzFXGhsWNqm7Zp6xfFHTuZ4vw00qoqOG8gwI/YeTRz4HyBDuWOjXn1VecuxkckuzzM9qbwQBoLDygMnI8o/t3sVGn/geu4fCAju7Kx8IQq8rRjhJau2hPHlGY7E7X5+D55/7aJRXU442jV5SN5ryw9sGp6j02IJkhXTWUjB5RktWPcwUXRa4SKoraaSl1K8HIPcdBapfFPOK7Y0HdpWFV71udo9Yq8W/Plp8+nhTo6RBBL6a70fJ2pXG2I39T/aHuUp5yX0dhYkp3fyFFC2a7stNX9Y1WydXnpWUq9Ird0ZUHifEc5R3Ot2XXlNZLU/IL4/lyotWL/xsO1rOaCKjEiPsC7AzsCfkxaUuW1vKbygnJZbrwQALjqs4qmHiooISPerRcL0ZUUMmFpuQdj+wvUYyrPyjyprT1xSr3siMzlUvUUaryubryLfm3K8xob+El3FhyK6Q+HybrC9F1l9QpFk2xb6FT3pqCWLg2k1Ky1zUKg7xB5VYMMVwdxlWeL67uAXp6SeyAuqD9HxlZlJ2VdrleUNcWkhXrM4nmNiUzaGQnGs6b1CkuQLG0fDpyJEELo+wLHpBgjq0qh6gDwW/HqS65fBMh3bRtrhgLAqCxr6gEmOn1XjNP7CLQofndSmPtjQLbi39VWO716s1OTEQBmRWzJkAt4pEmlNLr28qAj12/tvzsFAGq+PDlGCEBaWlphDBYlnTv//sFD2S7zm1CiWNkSAHLrpnEs65xAPbUflZuIjyR1/6P2JQDQkpRdCSKwW1RKrReDfXjgxWG0mf/EAfDDIp1+GB4/Zlvub89fOD22DAUA8ETJmSlu79EI4o6X5e8/lp3pfL5AgOzvpTTYbUaje2LLi8KzFf9bbbVToUn7H2UoACBg1dZN8iAhv9tkcKzUrPywkgVBzO5Ht4sAQAljtqWvZoCr+7hi6GkU0fcJW3X5ag9QklX9cyMIo1aKANiqSp3nS0wo35r06NIQyP7bGgYAqLD4pNCBVzYoYew/hFAA1raBjvajP+W8icZc7UdKE+EJ4zO3rXaaTYMJT9kVJw4MILda+1Y6ymuNCk3cHe/UW0uwZuM6MYDd1NTqzegUXP3ZPTv2DPpvX2G981gSAfKtiWKKGM4XqlkAoivOr2JBKN/qqZsYHblxX6zT5z6i2N0bo/yAayxTuQ0g4iHUeF/deBf9/mQ22wGCIlY6hUNaknQot0B5ftgMRY+uJGv/3n3u/x1VWob+G6/QDJ8GIF93dvZtaPw1CL363Q/PHdqfu/dRhgIAmMhfreEDsK23MEIihBBCQ8CeFF7otLQ06nz7X+7o7bLo69XlVSYO6NDE9W65A/rFEM89nL1iqdfZAJiVvxjUH3hW9GpJYX2dU6OIa/7iGoFZsphI92UpcWTUrLLSjtaW+xDk1ARcGBLitmigSEiBhXR9QwDGkFehAiRRgx4JEgIUAOHGuM6JQq5p67uAXimPGZQTCIyMDCo2GVsNZrs0aPQ/lheHkREIKDDZqpWXY0WrHnUyZ4TB4+laMEsS7OEBLMWIIwaNV0LADgCkm+MAXAo7cuG7tF9cI+ATESNzP3B0ZNq5yIF/2eq1JuAJY+QS91+ZXhEloSs1Jv01AvzHeAqgqWGrqGglQEWtehSJAqOjg0tM+jp1PSeNGvRuAx20xPW686VpAJYR/MRlUcrPnwZgewdGDRz1KedNNCbXvqjvAlgqf9O9XxUVvCH3ww0un4ziWuPxl0ncrnb+whcYMLDdXe5XpcdyWQ1aD4M48rpDN0GY0+gbgXEZb1dtLKorLqriCxRqKwjjM5I8TThFh60eVK34Rfy9lK6usNQ32hLnO13vg0PNKKob76KfQCDggblV/VFLZPLSgXVSgkUjTbBqt+lrausHjQ3J+MkBxtePgNc3NanjXxNTg/DooPAI9w9JLwEAIN1TMM40Qggh9GTCJIUX2pR7tyvdP6T4URsydw1+Kj6emzK79Y4NgBcY9MLg7+iFIj7UOT0s6jDesQNwutJjOZVu7SR7980eADtrZQEeFZCa4TOofekorb137AkFO2c1NOuN5lsWs9Vmu/sni7mDe7zpCYdOxwPYG8ojx7Qz3L4j5k47wH3rA4CgUa/Ym8NIR8XHBWkVRk32Wu250OXSZSGS0OUhwQHjexWdB+47MqDHZtQZWtrM5g6z1Wa7a7aYPc8J40XhOyx37ADzg4KHL6zdbLYA2LmrpTlW92Z6b6eRAJC7923jvW1A059FU3GTAB2xOtzpjAmIXC0u1rc0VNZxUWsGnUnUjzysZ8R04RhOOS/CUKfFxgEIXgzyNn/o7bVGU4OGwOi/1rzZDLN6W/a6Fz2sVuA27gZPGL8lripdoTq8hyJEEJuWvNTTbvP4C18Y/Dm1aJEQKgx3LVbnqsJDqBlFdeNd9BPJ35aqD9QZStLXqkSS8OUhoSGSZRIRM+JPRkduyQ9KHrwnzHhDDenp5ADgGdqx7xNYg5D7Jv014y2Lydxhu2u1Wi0WK+fFCY8QQgj9gGGSwgs+wrBwEd3XpJgxw4cWzF8SFhnhdavWa/ZvCAHgPevr6f6Qcru97OZ67QA9lvqKobq5EvKXiS6h6/rNqrwjxWo92/8Bj2L4ojAJW617/N1YuR4OAMCmq1QPsYSdjO11D29Q4qTck0zR2TLVNVtTlbKpSgkA9PyIdSnpidIJPW+IrfpsTr5SZx3YGYoWzJeE+bXWt43pOd1fuF77o5b6kOzfdBMAYJsq1E1DFW3yji+aNowajdEOQJrz09cXOX1ObAQA6itr2DWyiTnjJ+eUcwQKelDyztPaJ/paG5ZvgChopF4FfaVYJI99qexoIyE8cWzsoG4m/eujPY0bSvn4UgBkxAM3murGu+jHrH43l1YUFKkajCatyqRVlQJQ/FBZwm82yIKG+zXokXtbjIm1zUYAaD7fUcSJqUHua0tO5Z2vsz1akmaCXpQGf6XVe5wCFiGEEEIAgEkKryyR79orn5whAF0bObxnKQqg55tuDmDQDI4c59oOdtxGzo87vV8uGOKZjO9kTq/AVR1Pz7nM8ujgNfK/j5AufYEv4DMUD6Bmf/Q0SFLQFAUAzJrM3ETxEK12yn8yn2XRYvmWE/ItXRb9tVZ9i65J21DfVlu0x2Q9ULAzfHxdKh4hTYUZe8ttQAujYuWrVyxZGMgXMDQA6PPW1reN+OeePEPP4AF0c90Aw53zjnPVLkkt2BY1xKQJM/ymfIh+NMXshgqNBQCAcFZPN+rkmrrKJhvzMCwuJueUo30oGBxdPZiEa22CEJ2i1DH6h93wUUltjOfZQ7o5zsMl3c11k/6DMJxRVjdeRT+KH5a0PyyJsKbWq9ea9c3aKq2pSZmz8Svu3Mm4wKnuaGCr11oAqKVLl/TtwvhrELupJDOryESoAGm8PDrsJdG8AD5DUwCWkmRMUiCEEELDwSTFVHBMVkrIt+7vQXzNdTp3/eUJ5vEBTOZWI4lxHxWfu2NyvfMPEM6jwMpyvXz+mMfpHAeuvrKWBQhOyv1tgks/22ny/NxfKKTBxHHgH8CfqJTAWPgJgyOFwZGy+E1cfc7GHSpbxX9oksPlDPR397WTXrc/Id90evlc1q6r1NiAx4/PLkh17eM99l8hQDiPB9YOwy0OAoc5cI5zta2z284XTMxUBegJdE1T3QHgt+rgufRl7lGIrdi38aTOUFlli42fiCzF5JxyjkBhvdFqBbFgmOUm41qbEMRQdEppttNhm1IEypzyioL8qBAPaVC7Rf8VAaHbj0Ru3bQAwJyA4XYdYKzVzTDR7xGKEUlWiySrY5NS28q2pxc2tZSVX4sbYW6picZpFeUGAj7SgbeWJqAGMWkq2ggwq/blZ0Y5P3Wwk163V37GXxcghBBC3y9TObvHN4bLH1+8+PEnjfeGX+6h8YuL5/KOHjn8Xk7h+U8b27+ZmuJNIspvJg1AbrTecmmacPWVNazLgsKw5XwAtu7TBveWiU2jchsp30/yyiIKumo+rRnUiukxVZap602eX5X2EhnhxWnS3UMAmHmL3N4EJvpmw3RIU1AvvbKMBtKo9jDHhKW2XFVrvD9pxSSsvkZZotS5/jB0WISEASBfs32ZKT/meR7A/damDpfl2Cr11R7vNmT/trsHgCdauMj1vsFuutrKDvE3I3GcVz26crX7gePq8n69fv36nFoOAEAYJhWC3VKpHjyDA6dXlVXqLJxX796jJxepr6yxAghWyqIYehDhml9IKAB9hdo8MZublFPOESjgplp1022tRF+8ff36jQdUNoDJudYmADEqcsstQEkStsTJklNWMWBT5RU2eerUcvV3GveCsppPtRzwHPXOsLyvbryLflybtrJMUe367gg1PzJqPgBwneOqu0aNWNRHctRWgKDYpNX92YQJqEG6SbcdIGDJUrd+kfdb9a4xfwLqAm/e2UHTB2GNdcqSMzkHsvbvPZiTX6KsvvkYwggxKN5585eyjYVNj7FfD2GNNcqSvJwDWfv3ZuWcLFZWmx5jRJ0c93Wq0rLSChOmHBEalSlKUpA/fVG0bcPWnHNF5879z+r2IZez3/tD3qYNm48XXaz8vKb+D5c//ejMgeSUvR+1PtmJCmqJZCkF0KE8kVfLOprRxFZ/NvOIhnN7KBUUExfqA2xV7hGl5VGLgzOVHCtucm+B8NfERzDAVedllRicQp+drc7LPnAmZ8dRpXUsd4mUry8FwLZcHT7XwMwLYADYq9Va57Brrco7oZ4eFYxfRLxMCESXv7+w3rlEXbqi7OyTOfv3KFonq03Xoy05nFeUl1fU6Py72Cp/p2UB6BeC+noy+y0Jng9gN310vLi/iUDMmryMMzriZVdnHj+QD0AM1VVOe2hnmwqPl469/zl/TXw0A0RfvD+/0Wm192vzzyj1bTZfUd/MgkHyuDAarKrDB5zPVSBm9fE9pwoP7MmrmB4nAposPQ2VdSwAP2qN56fedLgsjAaw1FTcnJgNTsopR0fExwjBbinNzqt2GjqAayw+UaozWmDeEj7AJF1r49ZWdqLURCjR22lxAgA6cuNvImmwqY8Ue5j8ldMWHikzPfq8x1R6uLCeA3p5XMz8EbfkdXXjXfSzVuQdOFN8JE9pdp6xyqBW3QTgCT2N8TkpuA5DZfH+9Rtzqu8DLUl5N9FptIvx1yCBwnkUgKm2yjkXwxk81ObjqwtoPxoArNd0Y6rx0RQjZk3er9etXb8nr6hMXVlVW61Rlxbn7d34ljw9r7JtXK0Sts2gbzFZPSS2OHOLQW+wuN0km+s0TSzhbmqqH9OU8ay2+J233lq/L6+oXF1ZVVtdpS4vydub/NbaPYpB70N53oWJM5nr/1NtUWFhvlLXPRkrR+j7a/Jf97A/NHxccOzDehsByociPcOEYPLHs1nv/e5P8OwLv1j339f8dO4M7quGT/7XR3XXzmcdpk8cfOMnk17YycJEJ8rL6sssRuV+eRU/aBbFdVishB+zQXbzrNKldgiQ70pp2HhKW31qY1zFivAXBVSPpUWrNUJEasI3+Qqd87J0ePq7cZbtZbqi1LWqpSuWveBP2TvvNDY02Qj4iBK3JIzptV46bHUEU3fZXJohrxEKGOlvTiaFelpPaKw8WFOs6aU1RQAAIABJREFUV+1JuBERLglkgLPe0Fa3cAuXi6hG0xg2DAAArCprbZWHBioVvvnczvBRtVyp4A2ZqTcy8lvKdqzTBC8PWcj3hS7LVa3OzAEVINuSNNQIc+PmF50cp7xaYirf9VaLNHLZfAY4663G2qYOArQkOTGif7vC2IRVF7Musy2Kd9aqA4UMsBYzC0HxCWs0xSpvbrd4oph4afkxbfWx9W9djgwTMdBjvaWtbbrPDxXTTYYx1rZ0eMq7ca3by0yl29+qXrpiWZA/1WWpr9NZe4CWJG2N6e+sPUu2a5tu4+HL1afWy8slYUuE/j7EekNbb2AJ0KFJabGTOSQKeuy4ut/XdwEERK5xn7yzH71itZSu1lgqKwzJi8QTsMlJOeWo4MTM5NaMohb13re1wVLpwllUd4euvtHC2amghPR4xw385FxrQxsqEsKMF5MKDsgYALBbSk8q9AQCBwoJzOpNSZW6vHplXtFK19dSeKLYeP+KM+lxmhXhSxzVis7IEpgVsXWzVyObelvdeBf9guLWR1VkVzfmrV9fGyUVCXyAbdPVaU2snQqUJ8WOnDQZG5ejSjiW67udowLXpB3aLAt0OeDjrkFmRcevVDRV6E5ufKs6Uho8iyKs5Wqd1ugjCeXrmu47LzquukAQHh1aYmhqKXxrrTpwlmBNxqH4SRlaFI0fMSr2pJ/VcQBUgCRmTUSQ0N/X3m01aCs0tcYW5YF0ozU7O3Hp2F4wYqtOpp9sYWJPXHB/W6qnoSgjuxoiDn62P8qpORcUm5Js+793Zsnip/btKgeuMS99n9JMqMDwuNhVIQsF/tBru9Pyxafll/V1xe/shILchKCBa2yIXZgwk71+hNDoTXaS4t7vDm0+pf0Gnn3hFynpax7kbv3oqyGX/erCv336J6BeWHfg2NsvOiLTTxa8tFT4/ub3qq79z3OVEftWz5zk4k4aKjgl+xiVl6/Umrtsxi6g+JLEtG1vCzQbz7ovKpC/W+BXfLJQWW+oVRkAAChhxJbMjJU3svLdl6VDN+UWzC/8oETd1FKragEAAB4lWC5PTEmJEY3xHpxemXG8Cw4XXzZ2mIw2orckhXpsMs5PeP8QHDmlqDbVqky1AAA+/KiU7K38C3FjT1IA6WI9Ncmobq97vTr9kSj+eIGgJK9IqdXXXdb3fcgEyxJSU+TBg4YmnThUUNLx0365+YpafZ3aWAcAADwqUBqXvCkpyun9GDoyI3eH74lidZONNZtYoIVRG9J2xUGRxtstCWTv5pLjh4svG7VqsxYAgOJLEg/sXtawsckw5vLToZtyC4SFJ0o0+oHziuKHxq7fmrLKOfPFrMw89+Ml+fmKCoOu0tKXQaOF0viktLdX4qiZ329cVWUDBxC4MjpoyCYdFbZqBaO5bK1RN6WIQyciKTgpp5yPKPF4ruBsXpFKp69ROwIFxYhjEtNT5Y/C6ORca0MaIhICzOIcIxdYlXlFLQQC5FsTnEZ25MtTEzRXCw2lx4ujilKCH31BCWS736cPHyiuVd3s/0SasGVzUpi3h83L6sa76Mes2pdLnc8rKG/UVZb3/Y4UI1odn741Tjx5owg5H1XKhxbMFy58SRolk69e5HFKrXHWIHTYtuP7fI5/oDY0VSgdU9IwYvnBnTLzextdkxTjqwsC5IeyuSPHFdUWi5G1+Lay8aLJGekbjQ+nzdtTrOOADk1891CS5NE5Fy2LTzSUZGUW6QxF7+UGFrkOYjJ5GGniXumUbGkwS/kZpZlQwUm5pxMHwocoWBIRE/Pq0dT9qpuKogrZsRg8kxH64Xrqr3/96zBft3fYvvvuu+f9nxvj6u1fnd+043P+2i1pa3/6PLR/tDn5w6+eXbXv4rblgxYlf8xL3vm7hzN/cfB82ksurdmHlfuS8xrIi8kFx96cM5ZSPOj8+umnn54bMA3umuyEvW/r5TGCWSM2wwhrsdzt7IbnAhfOH3nyeK7DdOc/u+EZf/8AoWBCmnh2wtpsvdSIRSVsm+mOtbvXx3/RiyJmiFH3HzM7x1osd78G8GXmzefTU5cm7/8RZ/j6C0XD/C7cfVs3ofwd06OMgZ2zmox3OskM/8CFogncwf7yP+M/b76QHvosJF0Ws6WzF3x9+cLAWY9hHFc0Hp3s1wDgz4w1zj8Ok3LK2Tlrm8Xa3ev7XGDgUFF3sq61SWPXnVy3vZwVp36YG88H6GHNJnMn+AqEQoHfGI+bd9WNd9GPs5kt1s7eGb7+/EDhyDXd4zHOGoSzGY3mBz2U70+CgoUjVM/jqQu4+7ZOQgkCputh/F4Ye7S0W0qS1xe1QWDs+wVpEg/nAac9mrxHZYPAhIIPNwzuDEO4Dsud/yQznuMLhIzbSUg4liM2VWZ60U169d5zv5EAAEUzNAXAsSzpqTnydl49T7rz/LZwauAbADvhujjCoxk/5/5FhPJhaB/ov4TJjOf4Q8bDRwVzaqy6rGQI95XvrMtr8ll18ELm4NmarOV7Npa0zojcfWGbFIbfBedy3LeYbZ29PP85QiEz+PhyHEuA9qMpXv8l+TeCpUuFtNfrhx7W3GbrtlP+IwVPwlrMHZ29PP85IiFDAejy5FuVrDjlQn7cSGMUI/SD4AikDsOE00nuScGbGZF6at1LPxm5yrR/1aB7CDB71aqX3BeeGf7aS4UN2q8adA/fnPPE9qVw4FEMXzjyYgAAFCMUMV4uC0AHiIIndpIFHsUEeLN5ipkvZiard+4E4dHMfPHjSMh7+yPSs8Y3BQmPFiySTELl5235KT9h0FKvT1aExm1STjkeLRANO8cHTN61NlV8mMClTOD41uFddeNd9KD5gWL+OMsz6cZZg9D8IAk/yMtlx1EXjLceQZPKoFS1AfitSk7ylKEAAFqaHC+pOKUzV2mMSSKnHmrErCnOP6usHxg0hxZGxaVsTZAyfcuwqn1rT/Z1SOIqD66tBABKuu/iodU+tUfW7a92/J1de3TdWgCAgbtlS1l6crGRH3fufIpjc6w6S35KJ4jPPbey9Uh2cXX/4D9UgPTtzdsSl7tfBNaa4pOFZfUdjxZLzty9xuhYScGFlKHfOyKc4288JuMEsYeUsf3/sA+7CwAAnFFVXFSqHigG8OhAqTx1c1KY0wuA1Tlr91ZRMYfOrb55+EipzkoA+PLffpgWDCOuH4DVlZ4pPF9l6h+bmRIslSWmJsUM6oFF2i7n5xWodP1j/9LCmE37U6fBE1KEnkST/brHzAUveZdWeHjb9ADA5wWxh5r82cVLXgDtDZPxNsDgLhgIIYQQQghNU0atzgrAhEeHDZ1JYuTva+RunxF9ccb2EgMHlEASsSzAF1hzXaOhunhPiyEt95A8kAcA1LwVsphZtpYqnZmAQLJqGX8G8EQCCgD4oWtkvj3mOo2B5fFDoyVzeAABQt/hy3pfc2Cn8qqPOEoW5A+2Fq3W2KEt2refys+Nd3oiZVXu2XhKywLFLJKGv8inemwtWm1+5mGyxn0uXQ9mieb5gZ5tKFValsW5z43savhd4Orz0veWWwhQAklEmEhAkc5bjbVNdYodZu50UVqoazeNu787vKdGBwHisBcYysexkpEOke3ygS3ZlTYARhQmCRJQvXdaG5palEfTdeZDuanLH/2c5KbinYxiPQcUXxwlCfLndd+51qDKyYS4iRiSCaEfnskfONNLD+7dswP4z+V7yqryBT+m4MY39+49BHjCu1IghBBCCKEfDu5Omw2AWrR0yahexiG6wgMKA+cnSc5+N3FgtJb7tUczslXawhPl0tNxfAA6NH5bKLDl1rUnW5iwf8x0GjhTFLttG/Rc3ltjqAZR7I5t3owKadWoqZhDZZv7e2pwhqKMjJKbho9KtbG7pX3l7yg7ckbL8piozcf3xfRnGXpMpfsy8su8GEiYksYnSKrydE1nNq5vlsf/P7KVEqHnF6l4w+7CzbJ8pYVQwpi9x3dG9nf0IKaSLelFBvV5dUJorHPvD66pzhy1+dw+uXNaZPhDZCvPOV5powJlGe9vXiXo+zPOWJqVXqgrPVYYdn5bXx7Ebjp/tFjPUYGyzPe3RQh4/VsszNheehnnB0ZoDKZoCtKRcd90AwBNP+sxSNG+zwJAzzc4yTBCCCHktRm0H0P7+T4Bw2cg9L3FdX5NACh/D4MlDIOt+He11U6v3uyUoQCAWRFbMuQCHmlSKY2TMe/sLNnWtIF3SQBo8dtJ0QwA29ps7t+cXqlsIsBEb9sV43TD7yOK35ES5t3YZIGxh3I3rwr0Iea6sqPb18t+9dav9+QUKbVm98lHh7Uo6dz59w8eyn6UoQAAShQrWwJAbt10n1uVid7mmqEYSUtZaSMBUcKhbQMZCgCgg+J3py6n4L6mvKbvvoRoL6jaAALkuzYPZCgAgA7dkPk2zraD0JhMm54U9l4AAN6PZnj8lgczAADnAEcIIYS8xxMnF11IftylQOiHjYAdAChq0P2xuTz7RO1Dl494ovi9KWF+AFzzF9cIzJLFRLqnNihxZNSsstKO1pb7EDTRQx5QSyTBruWkXhDN4wHLcQ8AggAALE2NNgBmZYzUvWSzIlcvz6uv8abrABUkz/xw5dpqtbqyqqbeZNPXqfV16pIz/DD5+tTEVYHe5XOoAEnUoCFyCAEKgHDfEADnXVkUMrqeLMY6rRUgNEYW6J7kZVZGLTnaqGtpboU1UgC4dbWZBQiKlrkdOuAJV68RF5kmYQoohL7vpk2SgppBAXxDvvH8KlsP6QYAivrR1BYKIYQQQgihcaCpZwCA6+bc7pqhu6O5Sec63TAPohzP5DqMd+wAnK70WE6l202yvftmD4CdtbIAE56k8PmR+528I7li72+h2y13bAC8oCAPg6bTC0V8qLF4uzE/UVR8WlR8GnRZmrTa6mp1hdZSX5Z9tbH1/dy0UC/7ndg5q6FZbzTfspitNtvdP1nMHYMONAAABbxR5Si4O20sAFirC47eHPQI1WYFAPY+ywHQwN3pYAHoeYs8jBUsmB/EgMHzlNIIoaFNmyQFM5PhwcM/P2TtMHhYim8ePvwWgPJjcMZkhBBCCCH05HDM5s7dsdgAXO5jFybmXhiYyYLUnEwurB+Y86Kb67UD9FjqK4a65yfkL5NX5qHZCbED8H7k6+nNDooa0yQzfsLQNcLQNXGplssn//W4qk155GzEh5slIyUViFmVd6RYrR/IAfAohi8Kk7DVOttYiuG68u6/EACw6i6rhlrETghA/w9BeTwg4Ev58gCTFAiN1rRJUvxYyOfB7Qftlj+DeNDYmGZzOwHgz/kxzv6NEEIIIYSeIIvEQVSFznxVxyYInZ+3UX58gV//PyzkAQD4zPR33Os+Q88AgPlxp/fLBUOMKeM7y/Pnk4v3rK8PAPdNZxfAoIeHXNe47scp4aotm1uvblVaGxvMdknQsIPpcFXH03Muszw6eI387yOkS1/gC/gMxQOo2R89AUkKinoGAKiwtIIt0iHuP3wcT0+poXrKAAB0c934ujpCozdtkhQ+i8QvwB9u3Lii++YXq551+cr+1ZWmewDPLha/8JgKhxBCCCGE0FgwkauWndHVXyv7qEWWutTzHa+5qsZoBypoySLH9wHCeRRYWa6XzxdMq2d0vMDAAACDsekaF7vSrd+EraV15OyAtUahMhHfRbL4cA8vq1D+DM0D6OG6R1gNV19ZywIEJ+X+NsGlfwqZmOk06HkBfABbt50SBAz/Uk3fkrduWiDSfZxMq8mM3SgQGoNpM7sHzP5ZxIsUkCv/59N214zjN43lvzMD/N2y10bs9oUQQgghhNC0wkTHy/hgt5Uezav3dM9K2spOlJkA6LBfRPf1TvCTvLKIgq6aT2sGTW3XY6osU9eb2ME342Toh/bDfDVK/KhIMQVcvaLM6FoCrrGs1JsxIjtqSkoU+cUas6ciWbVasx0gQDi4/4jrLpDuHgLADBoJguibDWNLU7gdooVhEgZAr1YPnkWF1SrLqwzW/l9m4TIxA2DWqJt6XJezmyo1OGomQmMxfZIUwF+zdtXzQL66cOBMva0/HJCvPj2a98VDoBb8Q/wK76Y1mjxso7K0tKy0woQzoSKEEGmrLS0tc/uvXHW53mCb8iBpqy8rKy2rfdTk7dLmJ/8q+s3tJWNsrHpADIp33vylbGNh06gmyUMIIaBCN6TFBgB0qPem7impMnEDwcrOmTWF72wpbOKAXp6UGj3QN4G/Jj6CAa46L6vE4BRT7Wx1XvaBMzk7jiqtj26eKV9fCoBtuToo5FHP+voAEENT44QFZoE8KSYAiEmRkVFY2WLjCJAuW5MqJz1L3evFNKuCaHkYDWBS7DmmNrsUijOqsrefNRCgw2TRghF2gZkXwACwV6u1zp9aq/JOqEfZd2GIQ0RJ4taJKWgry8q5bHU6rORmWdbhvJNZmUX9y1PStTHzAWzKI6cuO/0oXFPh8fOm0ZUFIeQwbV73AIBnlydv/pXxwMe3f3f4XxpfCFk4G7q+ar1x7xs7PCtJ2rX2J4+5eHbTxTN5JW0AlIRe/n4MjuE5Vch90y0bmcEXBc3CrjQITSOkVZlfqPP4FcWXxKftTg6fqkBpN1WeLawEqb8som/iuhu1KhNHQFehtSSKRztPPWdusXTz6HlioXNz21ynaWIJsJpqY0ro8gkrO0LoB4GWbjmeSXYeV1m0RVna8zQj4PN9Ka7TYnE8kKeXJry/12X4CTo8/d04y/YyXVHqWtXSFcte8KfsnXcaG5psBHxEiVsSnKbGpMNWRzB1l82lGfIaoYCR/uZkUqjjW55kdTRfVW5T7XvrqpDv/9Jb72+OGNPglk58JKnZ27oz8ypbyg6klw18zKzctkuo3FEy0n35LNmWzbo7hy+bK3LeqikOWiKex1DAPbx1o9XMEgBKsCZjl8yp+hhiF0Jj5cGaYr1qT8KNiHBJIAOc9Ya2uoVbuFxENY4mNzDUIeIJ43em6bfkVKuz19ZdCFseJPCjSEdrXaOJtQMTmZ488LYLT/T2zqSmjGJ9RfZb1z6OWh7kz+s26xrqO+iYTfKbhUrjKEqDEAKYXkkKgGcl648dm11UcOHyja8aHnwFAOAze8Uv1296K2zwlB9T7aam2jG+MmmtrGJjYjFLMUXMyuxfKyxBSefOJXqY2wkh9JgFRCTHSvpaanbCdVluaWuqTbqSfensu7k7Ix9TqFyesCu+u5INipWPNkMB0NNQlJFdDREHP9sf5VT1BMWmJNv+751ZsnjJBBYUIfSDwV+1s0j8atm5UlVtk401m/oe+NNCyRp50ttyMePe1qVDN+UWzC/8oETd1FKragEAAB4lWC5PTEmJEbk8uaFXZhzvgsPFl40dJqON6C1JoX1ThFKhm7L32Y9/oDZY20xWTncrLSJ03I1qSijbd04SU6GubDDc7ewmzwiDI361LkbcrVB68+eC6MxzgiVFZ8tUOpuxsXbgHp4KkMTEpyTHiFzTKEPswvyE9w/BkVOKalOtylQLAODDj0rJ3sq/EDeqJMUwh0goO1jAlJwp/qjGVK/pWyfFiFbLk36TIHUZA3VRwumTTH5usarFUKkyAADQopgdmVuCajYWjqYsCCEAAHjqr3/96zBft3fYvvvuu+f9n5uyAjmQh39qv8eBz0z+T2Y/O+5I+qDz66effnruCMPejECf99avy22BEnG3zsCKUy7kxwlG/iM0AYxn16/HJAVCk6aT/RoA/JlRx3lOtV2Wo4Placr35a6pCE5fmPFOqYnw5b89nxY8BV2g7LUHfrm/EqT7Lh5aPd5HhAA9l/f+ykOSAiH0AzfmaDkYYS3m+1wv0P58vsBv5CjJdZju/Gc3POPvHyAUDBPl7IS12Xopx6SnbpvkrDYWmGH/fNwcbbbAhIIPN3iXIOZsxjbzg24Anu/zgcIg/rCF87wLhG0z3bF29/r4L3pRxIzn3fBhDlEPa7bYOv8Cvv78QCEzzA9G7ltu/akTZvjPEQ27HEI/VI5A6jBMOJ1ePSkGUDN/smDQRKSPE9F+WmUDnigmLakzc3vpTXVlW1zi/KGX72HNHbbuHpjBCIMChgy4nM1ivc/1UvQcoXC4qNrDmtts3XbKXygcribzbqOky2buYHs9rs1OuC6OUDRDU9BXI5IZP3Zdm6MwQM+ZP1yZCWsxd3T2Uv6ed41wLEcoH4b2cSxrudtJZjzHD5zvGs97OLaHPOAIABCuk2VpAIr2oym8bUBoWqODk1JiNNvLbTWVrWnBjn4Hzle9nTPfNN7tnjFPInYZtd7OWdssnSMFMYC+QNRppwRC0aMJ/FyRLpaz94czT3/eDZQ/XyhwjTocy5KebmIH4H3bfZ9lKYCBdTgiJI9mPMXhvqDH8/UXijw0cF2jK7lvuWXrBEowT8SnMaAh9MNDMcKg0fQzowNEwQFeLMejmIAhnuhQtEA4YfkJYtFeJZIwkVswZG+abADgz3i9bzQ/aCk/yMuFPe8CxcwXM8O0yb03zCHyYQIXMYHerGOWMHgWPlRDaLymaZJiuiFaTRUL1NLoqPkSLpJfWmap0JgSPSaJuwylebkf1Twac5kWRrydkRG/1DnqEbOmOL9YXd/RP0IPxYTGbNyVssp9lilWV3qm8PyjAZYowVJZYmpSzCLXGOrVRoEzqYtyFaoWW/9SlEAat2VbUtjAPNuWsvTkYuOilA8zBeXZx8v7BmqimOUJh/YmBNO26jPZJ1SGvq1Q/LCEbfsSJW7hnLupzM9XVLT0l4XHBEfHpW6KC3a6kWDVWfJTOkF87rmVrUeyi6stfctSAdK3N29LXN5Xt5lL098qsfT9f9l2eRkA0DFHPt4pBYTQtEYtCQ6iyu+zdywsSBhwuupPizUHTqn1LAGeKPlcQV8HKbutviQvv1w7MIgaFSCJTUpLjha65wM4Q3le7vmq/nDHo4PlGfs2DCqAXZefvL2cFad+mBvv3ItuUFBlxNFvp6bEimkAAHvtkXX7qx1rtmuPrlsLADDQdc4RIflx586nBDllFjiDMj9fUWEYCHp0oFSempYU5rzd/uh64T1R5bGc89r+OEwLVydmbI0TT+ajTYQQmkikpXhjhsJIS1Pf2x3/KHpxxvKcIi0BShwmxXeiEULjgkkKb3DVlQ0cUKErowUAEB0dWK4wa9T6pLRgtydgPYb8LRmlbYTii1eHSwQ+HGvQVuhq83faSG5BYn9Ow6rK2pij5Xh0ULhs2XwGusxXa2qbyrM3dlHFeyMexXXb5QNbsittAIwoTBIkoHrvtDY0tSiPpuvMh3JTl9Oj2iiYFNvTi/U9FLMoYqUkkLazRm1NvVaxI4M7nZ8W6pJCMZbuL67oEkXJgvx7LPV1Omtj8faDkDxLfVJDgqWylX691hsN9SZbfXHWAebcMadBRDlt3sZ9SjMBWiiJWsKfYWdvNmr1FYW/vmY8mJsZNQtc3Ncc2Km86iOOkgX5g61FqzV2aIv27afyc+PnAwD4iiJjZNa7ustNNgC+ZLWEPwOoJT8e78+JEJoCfT2e3GZua1PsKdcafYSh4UJf8Bc4ulnZLeW70k82ckAxweEhC5kZnWZdfYuu9GC6vuP46USnR3WcLj99T2kbAZofGimZR0PnV7r68uw9PPnz3pRpIKj6CcOWLxHQvdbWhnqD+uSWVvOB3C1SGoAfukbm22Ou0xhYHj80WvL/t3e3MW1daR7An8bbm2V6WarLZmWXXTsZmTACWsUExWMEBQUFrTVISGipXBERERURhUKTgSYp6aRp1JA3SDphyYCIQEGgoLDrrSXvemUWBAJhOSK4AmMlwVrqu5PaEvVVWG7L5s447AdDMOY9oY0z/f8+3nt8z4EPj4+fe85z3pIRxSmjV3+kMFRX8bnFIxG7S5uZJI8O+B867jqHOk6Mu45fu5If9nJP4jt/12rk5SnZ+p3sE+/oXdsk332jWoxqvJz7QhsSAQB+Mkxidn6q5dKQvaHsPWOiJlnFbZeEb8YdTp9ExKYUV+RvZNEHAMDqkKTYgOmB7mGRGM2BLI6IKCE7R9nRPDnQ7ShNTl3ykk+wthonJebt4pbaQtX8ndL8jqojN12323rzz+1niSjg6GyziyTPDS0pVzx4qeysua/lXw3pJfNpBZ+xrrbbx6j0VVeOPVthIU50fl7R5Oi83KS7VZkSteFOServ6HLOkqqgtvHoQtK7tNB85silIcsta0FKfsj82N3bl1racr1AFUVEVObu+Kii1Tncei0qseR6bVFCsA/RebPqow63zWzx5hbOl+eYHrx62eQJcJnHas/kLbz/lHjzhapLfb0X63/99rn9oal1b4+FyT3fdUw7XylKdDVXVbU9cN3utOd/omWIuIzikxk0cdN9uIOP15efQU0KgFdFwO38b4mIfStuyfs0r92h0lffObZk1dhER03DsMgkFHxRU6pbaC46mj4+3eVsq7mlbSlJCF6TRprqOiclJqHgSk1pykJLb1/dxxe6bBLROrt/fcbLtd0+4jLKr3+Sp5rfhiY6W6s/anMZv2zNvFWewqjzKytptvfTAVc/qfNPVK5Tk0LovXrZ4pHYlNLa84aFSm8BX39d1TmLo6Gm9e3G4tA1F+S2mBML/9BevLCyTLB9WXXCxNs6TRP6JaszAAAil0yZe65xp6mj2dgz4rJ7XcGLrEqTnvNPhw1pcpRiAIAXtO1lD+AVIPT13pslRrM/a35OrMzMUhMJfd2OsMOov+W9EpFKm6FaDM9MvOFsY0N712f75+evos8rEEUlvht6OB+XXnbpevudxpJnCx/GujqHJVIXnq8Mnc2z8YZPylIZmuoxDoib6JR8nj+KRHJdRsiiYpk8t/L6H27d+X3+0jd4ssRDxwoWZvDEqAsMqQwRcVmFhoRnfbDJ+fpkGRHv+WbhTanH1N4tkCL3k8UMBRExytzKigMciUNfWX1L/1879L8t1y7WsmYTDxVnc0TC+NeesLevAPBK8Zo7zI+IYva9+84d6uOlAAAM50lEQVTSG3F5pyqX7mubHbxtdEtRmrKzixkKImI1pacK1RTgzSb7fKSd7uns8RGjPlS9mKEgIkVW+amNLEMY6+p0SCTXf7aYoSAiNrmoqkSrVEXxD/lN/5keU3v/NLEZFZ8Z1KGhNfNYdb6SJLfp9kKgXrilPHS8OGTvG6crPpgZReQbvze16d4BAF4aGZecX/779q96vmpvb2lpb79j+Y+v2q9WFyFDAQBbAUmKdfms1nGJGN3+jGdzUFV2drKMhCGLben8M1bOEZGnx2QLnW7KuPjEkNJorDw2hmj27r8Z3aGfZpWJqpD6bRNDdi9RSq5eFf5ujcvKTCKSxr4e30SnxCkUDJGv39TrnQ19mDJ5eYmgHUnJSyb8THQMS0RvxamWfPHExMbKiALfL2zt9tnsbpIpc/M04d9P7L5MDUsBt3N0SVaHSdKElf1nfqneKSMSxe/CxwQAkcrPjw07RhyOEYdjZNhh6zE1f3HkcL1dJDal6LBuad1c9ld7wnbJSaN22zSx2rzleQZVRka8jIRxVzBrKY3ax2aJkvS54WuqmOSc7GWhMlwwqKqy81LCSvnKlIaLLe0tVwybPqvUZ7PzRFzWb9LDt18zifk5aiLRZhtfEvU4TXLYBhBWqZITkTAzvdneAQBePiZGrtqlVMWtWKMYAOA5YbvHevge6wOJ2PQDaSE/5uMyDiS2Osfudg+JmTmL1xU5hbnG0+ZJ04n3e1Safbo9mpRUzd6EpUllmcZgSOy74bLdOJJnTNSlalL27NmbqlEtKVAvfjMpEJG3v/HSg+3hQ/J5iUiYEkQidoOdEptpKIi3d0z01Lxnb0lJ1e7do0lJ3ZO8Yv18GS3rcv76yoJJioDHwxMFxHuddd7wlk/8ExKR9O2Uj2jx5wUT9Xr4NxoTLKH/ZJWeACDyTJo+/dgUfpGRZ35QfSp/WeJh2SzWP+kRiei+6eJle3jkkTz+ANGU9zuieCI/7xOJFOqVKuLvit8pI89aowwGVXZ3wqZTEasKeDyPiGSqpF+tMDdXJCRx5Bb+yPtJu3heNcOEl7eQMdtlREQSlo8BAAAAEBGSFOua6OmZCBBJXzdUHG4OuS75JCKydQ8IOfrFGXOM9mTDFVVT6+0+l2e41zPc23mTGE6dY6goCyneriqobYxpbeiw2HhXv9nVb+4gYlTavJKjxZnz+ySkmR8kIvI6es2rjSwgSZvplEksvn6Na77ZZR71jfSZRvpMRMTuSn+/tKJoS4owB76fkYhIGLFaRlZpIkmr3ACAV1eUUpemXli3tX17FKvYlaTLSN/g6XrirEhE5HN0W1ZpsRDrxFmJiNioFVOrr0czRGtFmGBQZaO38BSNYNCTvbHyM6PZaBkJsyLCHgAAAMCmIEmxpoDL2sMTEUmid1Jcfl8atfT59EteFnIawycaQ6XgGXeNjTlGhu39Y27zjaoxobalNHHhdRujyim9nFMq+txjDofT9bVtwD5h7/r0Pn+y+XzuDiJimF8QEaMrbzyuXWX9XFTIIdQb6pTYxLzjV/OOT/PO0XHnmGPEftc2Odh82u0913gy7YVn7rI3GIYooClrrMyMWrnJ9hiUrwf4i5OUd+rTvOfOdLIMQ0RcTvX1osRVgh0TKyMiYqMYIhLFFUIxScEk6RoY5hcMkTgjrl9gc6OCQW/2+xmRKGbZ3R/EmQBRFFZAAwAAAGwOkhRrGu3pf0QUs/+Lloq94TNNwXrmyDWHq7vPl29YvqSZU2nSVZr03KJyr/XskQuDHtMdW9HZsF/vrFyt06t1+oKSUlfz8ao2t91o4XOLlETszjg5kW8mwCjiNvzDfmOdUowyOUOZnKE3HBVtdUdOmH3Wf+kpSXv+3xjzZIqdcqJJ/0xArsDRUwCwMbFKJUtuUaTYOPnaudJgS+/EhECJ4fGKn3gYWH1LGhERu1PJkd338AFPGVu040Om2B1H3Q884/el3GXZZO+DCYGI/Xtl7NZ0BgAAAPBzgcKZa5Bs3QNeIkWWPpNjl1Hm/KOGIXJaLQsboSWvo9fYZplY+kJPkfHu2wyRJPiD7/8Et83c1Tm09KALNjFLKyci/5Q/eGG3TsMROS2WiWUblQW7ydjn8oqb6VQSnAOmNpNj6StIVpeu4Yikx4J/C7ZDK3VaJQX4bkv4oSdEotPc1e3gxRfoRcJeEYC/RMw7v97LkjRsCT/9h4j4QaN5cGJKWmipeTuKyGUxT4a1k0YsA971wsvufRqOyGM1hRU8pgBvPH3kYMnpTnf4R9arE6Hcq1USCX3/Phi+uiPgNltdRKxOl4SVFAAAAACbgiTF6mbvdg8JRPLMHM2K99k0vY4l4gesD4IXhP6bNdda6692uEN+T0ses+WeRLQjfjdHRCTdN12sa2r4srE79DCOabu5jydidqpVwQuMpuD9RIYmuz6v6/WGPu5B1+cX6q99Xt08LG68U5q1t12ob66vX/gUEREFfN3/aReI2F/Gr1sYfyPi8wp0LHnNF86Z+CWDsdSe/rLp3Ol6q/A8j2VjWCLyjjrW/RECAK+emHSDXkmSo+Fsky00REw7mmtqrtWdPd2xcEBGTLYhW04B962a+tCW3r76i+blGY5w80F1ynLxssWzeMiRONFR2zzk9ojy3c+q+jJvREcRSa6R4ZW2loSIzzuYGUPiQOM5Y0gEDgi2+prOSWJ25b2fsYU1MAAAAAB+FrDdY1Xi0H/ZponiMnISVmnB7jugZft7+G6rqyQhkUieW5xnPGVytlUUDO/LekfFBgTPuN3mEiQZl/lBYfDgPUZbcEgzcM0xeO7w4e4MTTzHSFO8bcjuEYlJKPjwWRVOmdJwstx5vK7fUvPe0B1darwihpEejQ8Nu4UAcRkVJVnBue+GOqWY7JIC0702t/HUwTFtxt5dHIneh8ODI48kYjUlRelb865vh/5UpePIhd7+Lw/nGTW6JGVslOS9b7e5BInYlOLy/B3P81RFWnZKm2tkrOngexbVDkVO1fnNnxQIABGLSf6guux+VcNY14n3e5JT9+yWR9M0f8/u8IjExOmPFz871ZhJKa00jJ/udJtOHHLo0jQqVvJPOvodgqqwNNfaZF77FE+Z0nCyfOR4nW2g7uCoSadNUrCSf9Te7xaIkeeXF6c8i4MyzYFsudnoM585eE8pj33n4JVj6SsnG7j9v610fPOFxVZfUWDVpCUpWcn/0DE48kiiGM3x3xXGb0X+FwAAAOBnBUmK1Yh93XdFIlVW9uqzTEa3fx/X0+sdsIyUJqYwxKaWN17krt7o6ncNGl2DwUbsrvRDH1QUpS1mH/LP1zJNTW0Wh83C2+afxKXkFX/4gT4+NFug1H/RyLXdaL094Lb1uBcaqg/kFX9YuHggx4Y6JSa+uPb3MdcbOgadQ5aJoeBIGJW2oORocaaStgqXVd3yd0kNDR1Wl6Obd8wPRqk1FJcfynreqplxeedrxIu1Hf08PyHw0eOCQb0Vx5EAQIRg1IbaRkVbfbPJ7hzqdc5f5JL1hWWlecmhNSlZTdm1WkX99eY+t83K24hIxiUXfHa+iLll3UBHSv3lBq7tRtPtIbfNOh9UWfX+Q0ePGDShWQgm5WjNmUDtP1tc3km3V3Q8LE9PWeWLgMuobLymbmjosLrs5gd2IiIZq0orKCsv1qFSMAAAAMDmvTY3N7fG7f955Hv69Onfxr75kw3ox/Cd//G2bdv+YeMVKF+YNMV7fP4Z2h4rV6t2rLJMQRK9PO99/IR5U7FTKV+rBPys4OF9/h8oOlauUnKrNdxQpyQJPP+tf4a2R8cq1YofbSWyNM17eP8Tio6WK1cfzOaIUz6/xCjiVv0PAMBz8AuPiSiWi4A4HxAFnv/2MVE0t3OXnF1jGYLom5j0zlC0QqlWLD9ZY12iz8N7/U+2xyqUqjXqdUqi1ycQp9xIqJQE3vPI/0T244ZWAHiJIihaAgC8moKBNGiNcIokBQDAzxqm3QAAG4FoCQDwgjaYpEDhTAAAAAAAAACICEhSAAAAAAAAAEBEQJICAAAAAAAAACICkhQAAAAAAAAAEBGQpAAAAAAAAACAiIAkBQAAAAAAAABEBCQpAAAAAAAAACAiIEkBAAAAAAAAABEBSQoAAAAAAAAAiAhIUgAAAAAAAABARECSAgAAAAAAAAAiApIUAAAAAAAAABAR/mrt29Kf/kRz9J3/8U8zmh/Jn/8coNcCfuHV/isAAH4Ms7P/R0SIkAAAa0O0BAB4QcFAGhX112s3WydJETQ3N7cFI3q55igQePqyBwEAEHGezs0RIUICAKwD0RIA4AU9nZvb9tpr6zZbJ0nBvP56IBB4882/2aJRvRyPH//vtm3bYmKiX/ZAAAAizzQRESIkAMA6EC0BAF7QNMlk61ecQE0KAAAAAAAAAIgISFIAAAAAAAAAQET4f0WE9TMrlgM7AAAAAElFTkSuQmCC"}}},{"cell_type":"markdown","source":"In the above, the gemma_default is with the default prompt of the used model (from the model page on HF), while the gemma_prompt is the customized prompt I tried with the model. The order changes a bit but in general the results are the same. Some of them actually look really off, such as the Facebook ones. I will look at those in the following. ","metadata":{}},{"cell_type":"code","source":"#reverted_default_index = [int(top_k_indices[idx].cpu()) for idx in indices_gemma_default[:20]]\n#df_compare_indices = pd.DataFrame({\"embedding\": top_k_indices[:20].cpu(), \"gemma_default\": reverted_default_index})\n#df_compare_indices","metadata":{"ExecuteTime":{"end_time":"2024-03-26T19:58:04.448432Z","start_time":"2024-03-26T19:58:04.437886Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### The common competitions in embeddings vs Gemma re-ranked","metadata":{}},{"cell_type":"code","source":"#set(top_names_embedding[:20]) & set(top_names_gemma_default)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:18:53.661904Z","start_time":"2024-03-26T20:18:53.656680Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![Screenshot from 2024-03-30 13-04-09.png](attachment:ae37f063-db4d-4206-a3ba-e97a9dc51b3c.png)","metadata":{},"attachments":{"ae37f063-db4d-4206-a3ba-e97a9dc51b3c.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"So these 6 competitions are in all cases in top 20 selected as most similar. They do actually look like very good candidates based on the naming at least. So perhaps they are not a total loss any of these models, and maybe even blending them could be useful. Would need more research.","metadata":{}},{"cell_type":"markdown","source":"### Unique Competitions Selected by Embeddings Search","metadata":{}},{"cell_type":"code","source":"#set(top_names_embedding[:20]) - set(top_names_gemma_default) - set(top_names_gemma_prompt)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:01:16.751031Z","start_time":"2024-03-26T20:01:16.746749Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![Screenshot from 2024-03-30 13-04-19.png](attachment:23abc4da-6cc9-4bde-af4b-907ed677808d.png)","metadata":{},"attachments":{"23abc4da-6cc9-4bde-af4b-907ed677808d.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"### Unique Gemma 2B Re-Ranker Selected Competitions","metadata":{}},{"cell_type":"markdown","source":"![Screenshot from 2024-03-30 15-50-18.png](attachment:c23f7e4a-89d7-46f8-89b0-7c68553025b4.png)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:25:21.671046Z","start_time":"2024-03-26T20:25:21.663883Z"},"jupyter":{"outputs_hidden":false},"execution":{"iopub.status.busy":"2024-03-30T10:22:19.528452Z","iopub.execute_input":"2024-03-30T10:22:19.528852Z","iopub.status.idle":"2024-03-30T10:22:19.540073Z","shell.execute_reply.started":"2024-03-30T10:22:19.528806Z","shell.execute_reply":"2024-03-30T10:22:19.538833Z"}},"attachments":{"c23f7e4a-89d7-46f8-89b0-7c68553025b4.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"### Check on Strange Looking Competitions by Selected by Gemma 2B re-ranker\n\nSome of the above results do not look like they make a lot of sense from the competition names. Lets look at descriptions for a few to see what it is.","metadata":{}},{"cell_type":"code","source":"# print description for competition named \"Facebook II - Mapping the Internet\"\ndf_comp_meta[df_comp_meta[\"comp_name\"] == \"Facebook II - Mapping the Internet\"][\"desc\"].values[0]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:25:42.053261Z","start_time":"2024-03-26T20:25:42.047737Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_comp_meta[df_comp_meta[\"comp_name\"] == \"Facebook II - Mapping the Internet\"]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:25:43.490572Z","start_time":"2024-03-26T20:25:43.476503Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_comp_meta[df_comp_meta[\"comp_name\"] == \"EMI Music Data Science Hackathon - July 21st - 24 hours\"][\"desc\"].values[0]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:26:38.990515Z","start_time":"2024-03-26T20:26:38.984937Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_comp_meta[df_comp_meta[\"comp_name\"] == \"EMI Music Data Science Hackathon - July 21st - 24 hours\"]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:27:09.202103Z","start_time":"2024-03-26T20:27:09.188274Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The above descriptions do not really seem related to the description of the search competition. So I would say the Gemma 2B based re-ranker goes quite far off the track on this one (description comparison, not an exact question to answer). User error of course possible as well :).\n\nNext off to summarization with Gemma..","metadata":{}},{"cell_type":"code","source":"","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:28:30.710870Z","start_time":"2024-03-26T20:28:30.708260Z"},"collapsed":false,"jupyter":{"outputs_hidden":false}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:28:30.961891Z","start_time":"2024-03-26T20:28:30.959139Z"},"collapsed":false,"jupyter":{"outputs_hidden":false}},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Summarize Writeups\n\nThis is based on my [previous Gemma notebook](https://www.kaggle.com/code/donkeys/gemma-for-kaggle-writeup-summaries), used here for summarizing large sets of writeups per competition into key points. The key points are then used to ask the model for more details on how the solutions in those key points were used in the competitions.\n\n## Load Gemma 7B-it Model","metadata":{}},{"cell_type":"code","source":"if on_kaggle:\n    model_path = \"/kaggle/input/gemma/transformers/7b-it/1\"\nelse:\n    model_path = \"/mystuff/llm/gemma-7b-it\"\n#    model_path = \"/mystuff/llm/gemma-7b\"\n    \n\ng_tokenizer = AutoTokenizer.from_pretrained(model_path, local_files_only=True)\n\n#Gemma has 8096 context length:\n#https://huggingface.co/google/gemma-7b-it/discussions/27\n\ncompute_dtype = getattr(torch, \"float16\")\nquantization_config = BitsAndBytesConfig(\n    load_in_4bit=True,\n    bnb_4bit_use_double_quant=False,\n    bnb_4bit_quant_type=\"nf4\",\n    bnb_4bit_compute_dtype=compute_dtype,\n)\n\ng_model = AutoModelForCausalLM.from_pretrained(model_path, \n                                               device_map=DEVICE, \n                                               quantization_config=quantization_config)\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:28:37.226074Z","start_time":"2024-03-26T20:28:31.418057Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Load Writeups for Closest Competitions\n\nThe embeddings in part 1 above seemed to give best looking results for finding closest competitions. So I use the highest ranked of those as the base set here.","metadata":{}},{"cell_type":"code","source":"len(top_names_embedding)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:28:37.230062Z","start_time":"2024-03-26T20:28:37.227242Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Top 20 competitions based on embeddings search\n\nBased on the above findings, I am going to use embeddings top 20 competitions","metadata":{}},{"cell_type":"code","source":"top_names_embedding[:20]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T20:28:37.241083Z","start_time":"2024-03-26T20:28:37.238361Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Filter out Competitions that don't have Multiple Writeups\n\nHard to summarize overall solutions if there are very few writeups.","metadata":{}},{"cell_type":"code","source":"writeups = []\nused_names = []\nskipped_names_empty = []\nskipped_names_few = []\ntop_scores = []\n\npbar_selected = tqdm(total=0, desc=\"Selected Writeups\")\npbar_skipped_empty = tqdm(total=0, desc=\"Skipped (No Writeups)\")\npbar_skipped_few = tqdm(total=0, desc=\"Skipped (Too Few Writeups)\")\n\ncomps_to_find = 20\n\nfor idx, name in enumerate(top_names_embedding):\n    comp_writeups = df_writeups[df_writeups[\"Title of Competition\"] == name]\n    #print(f\"processing {name}, writeups: {comp_writeups.shape[0]}\")\n    if len(comp_writeups) == 0:\n        #print(f\"skipping {name} due to no writeups\")\n        skipped_names_empty.append(name)\n        pbar_skipped_empty.update(1)\n        continue\n    if len(comp_writeups) < 5:\n        #print(f\"skipping {name} due to too few writeups\")\n        skipped_names_few.append(name)\n        pbar_skipped_few.update(1)\n        continue    \n    used_names.append(name)\n    writeups.append(comp_writeups)\n    top_scores.append(top_k_values[0][idx])\n    pbar_selected.update(1)\n    if len(used_names) >= comps_to_find:\n        break\n    \n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:31.308525Z","start_time":"2024-03-26T21:15:31.258093Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The number of writeups that were skipped due to no or few writeups, and the number selected for further analysis:","metadata":{}},{"cell_type":"code","source":"print(f\"skipped names: {len(skipped_names_empty)}\")\nprint(f\"names with few: {len(skipped_names_few)}\")\nprint(f\"used names: {len(used_names)}\")","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:35.173361Z","start_time":"2024-03-26T21:15:35.169476Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# find the indices of the top_names_used from the original top_names list\ntop_indices_used = [top_names_embedding.index(name) for name in used_names]\ntop_indices_used[:20]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:37.304691Z","start_time":"2024-03-26T21:15:37.299765Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"skipped_names_empty","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:38.312159Z","start_time":"2024-03-26T21:15:38.307966Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"skipped_names_few","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:38.841632Z","start_time":"2024-03-26T21:15:38.837252Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# just to verify the selection is correct, \n# lets look at one that is dropped due to less than 5 writeups\ndf_writeups[df_writeups[\"Title of Competition\"] == \"Two Sigma Financial Modeling Challenge\"].shape","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:40.274982Z","start_time":"2024-03-26T21:15:40.269382Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"This one had only 3, which is less than 5. So the filtering seems ok. Could probably downgrade the minimum requirement from 5 to 3, but lets keep it for this exercise.","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:41.403466Z","start_time":"2024-03-26T21:15:41.400638Z"}}},{"cell_type":"markdown","source":"The similarity scores for the top competitions:","metadata":{}},{"cell_type":"code","source":"top_scores","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:42.236583Z","start_time":"2024-03-26T21:15:42.214060Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# the selected competitions\nused_names","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:46.214386Z","start_time":"2024-03-26T21:15:46.209004Z"},"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:47.616151Z","start_time":"2024-03-26T21:15:47.613925Z"},"collapsed":false,"jupyter":{"outputs_hidden":false}},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Helper Functions \n\nIn the following, I will use Gemma to chat about the top competition writeups based on those summaries. First a few helper functions to ease that, mostly from my [previous Gemma notebook](https://www.kaggle.com/code/donkeys/gemma-for-kaggle-writeup-summaries).","metadata":{}},{"cell_type":"code","source":"def gemma_generate(prompt):\n    input_ids = g_tokenizer(prompt, return_tensors=\"pt\").to(\"cuda\")\n    input_token_count = len(input_ids[\"input_ids\"][0])\n    #print(input_token_count)\n    outputs = g_model.generate(**input_ids, max_new_tokens=1000, do_sample=False)\n    new_tokens = outputs[0][input_token_count:]\n    output = g_tokenizer.decode(new_tokens)\n    output_md = Markdown(output)\n    return output, output_md","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:49.387493Z","start_time":"2024-03-26T21:15:49.383066Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def summarize_description(description):\n    #print(\"summarizing description\")\n    prompt = f\"Summarize the following kaggle competition description in a very concise way. \"\\\n         f\"Omit references to specific algorithms or known solutions, focus on overview of the contest topic and goals.\\n\\n\" \\\n         f\"description: {description}\\n\\n\" \\\n         f\"summary: \"\n    summary, summary_md = gemma_generate(prompt)\n    return summary","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:49.638139Z","start_time":"2024-03-26T21:15:49.634369Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Split Writeups to Manageable Sets","metadata":{}},{"cell_type":"markdown","source":"Kaggle GPU runs out of memory when processing all these at once. So have to break them into smaller sets and re-combine the summarize by summarizing subsets and their results after.\n\nThe following split_list will split lists so about similar number of lists is in the last two slotes. Thus 21 values with a split of 5 would naively be [5,5,5,5,1] but with this they will be [5,5,5,3,3]. Helps summarizing more evenly.","metadata":{}},{"cell_type":"code","source":"def split_list(data, max_sublist_size):\n  \"\"\"Splits a list into sublists with a maximum size and avoids uneven distribution.\n\n  Args:\n      data: The list to be split.\n      max_sublist_size: The maximum size of each sublist.\n\n  Returns:\n      A list of sublists.\n  \"\"\"\n\n  sublists = []\n  current_sublist = []\n  for idx, item in data.iterrows():\n    if len(current_sublist) < max_sublist_size:\n      current_sublist.append(item)\n    else:\n      sublists.append(current_sublist)\n      current_sublist = [item]\n  # Add the last sublist, even if it's shorter than max_sublist_size\n  sublists.append(current_sublist)\n\n  # Ensure the last sublists are more evenly distributed\n  last_sublists = sublists[-2:]  # Get the last two sublists\n  total_length = sum(len(sublist) for sublist in last_sublists)\n  ideal_length = total_length // len(last_sublists)\n\n  # Distribute elements until a balanced state is achieved\n  while len(last_sublists[0]) > ideal_length and len(last_sublists) > 1:\n      #print(len(last_sublists[0]))\n      last_sublists[1].append(last_sublists[0].pop(0))\n\n  # If there are still more elements in the second-to-last sublist, distribute to previous ones\n  if len(last_sublists) > 1 and len(last_sublists[1]) > ideal_length:\n    for i in range(len(sublists) - 2, 0, -1):\n      if len(sublists[i]) < max_sublist_size:\n        sublists[i].append(last_sublists[1].pop(0))\n        break\n\n  return sublists\n\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:51.079863Z","start_time":"2024-03-26T21:15:51.072945Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"len(writeups)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:51.640388Z","start_time":"2024-03-26T21:15:51.636070Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The following splits the writeups to sets of max size N.","metadata":{}},{"cell_type":"code","source":"# writeup dataframes will after this contain a dataframe per competition\n# each dataframe holds a row per writeup in that competition\n# this splits them so if N=10, a dataframe with 25 rows becomes 3 sub-dataframes with 10,10,5 writeups or so\nwriteup_dataframes = []\nN = 10\nfor comp_writeups in writeups:\n    writeups_sublists = split_list(comp_writeups, N)\n    #print([len(sub) for sub in writeups_sublists])\n    writeups_subframes = [pd.DataFrame(sub) for sub in writeups_sublists]\n    #print([subframe.shape[0] for subframe in writeups_subframes])\n    writeup_dataframes.append(writeups_subframes)\n#writeup_dataframes[0]","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:52.744933Z","start_time":"2024-03-26T21:15:52.710260Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Summarize Writeups per Competition\n\nThis is based on my [previous Gemma notebook](https://www.kaggle.com/code/donkeys/gemma-for-kaggle-writeup-summaries).","metadata":{}},{"cell_type":"code","source":"competitions = df_writeups[\"Title of Competition\"].unique()\nwriteup_summaries = []\nwriteup_summaries_md = []\noverall_summaries = []\nprocessed_titles = set()\nskipped_titles = set()\noverall_summary_prompts = []\nprompts = []\nwriteups = []\nprompt_lengths = []\nwriteup_lengths = []\nsummary_lengths = []\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:55.020739Z","start_time":"2024-03-26T21:15:55.014840Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def summarize_competition_writeups(comps_to_summarize, df_writeups_here, max_comps=None):\n    skip_count = 0\n    for idx, competition in tqdm(enumerate(comps_to_summarize), total=len(comps_to_summarize)):\n        df_comp = df_writeups_here[df_writeups_here[\"Title of Competition\"] == competition]\n\n        comp_name = df_comp[\"Title of Competition\"].iloc[0]\n        # have to skip overly long writeups. luckily not too many of those\n        max_len = 8192 - 1001 #1000 here is requested count for max new tokens\n        if on_kaggle:\n            max_len = 4096 # Kaggle GPU seems unable to handle long sequence due to memory limit\n        memory_error_msg = \"skipped due to token limit (on Kaggle need shorter due to GPU memory limit)\"\n        #memory_skip = False\n\n        # list_idx is to print position in saved lists, to be able to pick one later\n        list_idx = len(overall_summaries)\n        print(f\"{list_idx}: competition {comp_name}, writeups {df_comp.shape[0]}\")\n        #here filter only the writeups for this competition\n        intermediate = df_comp_meta[df_comp_meta[\"comp_name\"] == comp_name]\n        if intermediate.shape[0] == 0:\n            # the two datasets I use here are not fully in sync, have to skip full mismatches\n            print(\"competition metadata not found, skipping\")\n            skipped_titles.add(competition)\n            skip_count += 1\n            continue\n        # on Kaggle it runs a bit slow at time, so had to implement some extra capping support\n        if max_comps is not None and idx - skip_count >= max_comps:\n            print(\"stopping due to maximum summaries reached\")\n            break\n\n        comp_desc = df_comp_meta[df_comp_meta[\"comp_name\"] == comp_name][\"desc\"].values[0]\n        desc_summary = summarize_description(comp_desc)\n\n        comp_writeup_summaries = []\n        comp_writeup_summaries_md = []\n        comp_prompts = []\n        comp_writeups = []\n        comp_prompt_lengths = []\n        comp_writeup_lengths = []\n        comp_summary_lengths = []\n        prompts.append(comp_prompts)\n        writeups.append(comp_writeups)\n        writeup_summaries.append(comp_writeup_summaries)\n        writeup_summaries_md.append(comp_writeup_summaries_md)\n        prompt_lengths.append(comp_prompt_lengths)\n        writeup_lengths.append(comp_writeup_lengths)\n        summary_lengths.append(comp_summary_lengths)\n\n        prompt_overall_summary = \\\n            f\"The following gives a summary of a Kaggle competition description, \" \\\n            f\"and a set of one or more writeups on solutions used in that competition, separated by ======.\\n\\n\" \\\n            f\"Use these to summarize a set of guidelines for ideas on how to approach \" \\\n            f\"a given Kaggle data science competition. \\n\\n\" \\\n            f\"Competition description summary: {desc_summary}\\n\\n\"\n\n        # loop all writeups for each competition\n        for i, row in tqdm(df_comp.iterrows(), total=df_comp.shape[0]):\n            writeup_title = row[\"Title of Writeup\"] \n            writeup = row[\"writeup_clean\"]\n            #print(i)\n\n            prompt_writeup_and_desc = \\\n                 f\"You are Gemma, a helpful assistant for Kaggle competitors to understand their datascience problems \" \\\n                 f\"and propose approaches to solve them. \" \\\n                 f\"Your points should have enough details to be useful for similar problem solving, \" \\\n                 f\"but not excessively focused on the specific approach in writeup. \" \\\n                 f\"More in the sense of overall application lessons for similar problems. \" \\\n                 f\"Here is a short summary of the competition now being analyzed:\\n\\n \" \\\n                 f\"description:\\n {desc_summary}\\n\\n\" \\\n                 f\"Following will be a writeup of someone who participated in this competition. \" \\\n                 f\"List the key points of this from the datascience application viewpoint for similar problem solving.\\n\" \\\n                 f\"Writeup:\\n {writeup_title}:\\n {writeup}\\n\\n\" \\\n                 f\"Answer: \\n\"\n\n            input_ids = g_tokenizer(prompt_writeup_and_desc, return_tensors=\"pt\")\n            prompt_len = len(input_ids[\"input_ids\"][0])\n\n            comp_prompts.append(prompt_writeup_and_desc)\n            comp_writeups.append(writeup)\n            comp_prompt_lengths.append(prompt_len)\n            input_ids = g_tokenizer(writeup_title+\":\\n\"+writeup, return_tensors=\"pt\")\n            writeup_len = len(input_ids[\"input_ids\"][0])\n            comp_writeup_lengths.append(writeup_len)\n            #print(f\"prompt length: {prompt_len}, writeup length: {writeup_len}\")\n\n            if prompt_len > max_len:\n                print(f\"skipping writeup {writeup_title} for competition {competition} due to too high length {prompt_len}.\")\n                #continue\n                summary, summary_md = memory_error_msg, memory_error_msg\n                memory_skip = True\n            else:\n                summary, summary_md = gemma_generate(prompt_writeup_and_desc)\n\n            # Store or process the 'summary' as needed\n            #print(f\"Competition: {comp_name}\")\n            #print(f\"Writeup Title: {writeup_title}\")\n            #print(f\"Summary: {summary}\")\n            #print(\"----------------------\")\n            comp_writeup_summaries.append(summary)\n            comp_writeup_summaries_md.append(summary_md)\n            input_ids = g_tokenizer(summary, return_tensors=\"pt\")\n            summary_len = len(input_ids[\"input_ids\"][0])\n            comp_summary_lengths.append(summary_len)\n\n            input_ids = g_tokenizer(prompt_overall_summary, return_tensors=\"pt\")\n            prompt_overall_summary_len = len(input_ids[\"input_ids\"][0])\n\n            if prompt_overall_summary_len < max_len:\n                prompt_overall_summary += f\"\\n\\n======\\n\\n writeup summary:\\n {summary}\\n\\n\"\n            else:\n                print(f\"skipping adding to overall prompt due to reaching max limit set: {prompt_overall_summary_len} > {max_len}\")\n            processed_titles.add(competition)\n\n        prompt_overall_summary += \\\n            f\"\\n\\n======\\n\\n Focus on the key points of the writeups and how they might have helped achieving better score in the competition.\" \\\n            f\"Extract specifically used data analysis methods, and summarize how they are related across writeups.\\n\\n\" \\\n            f\"answer: \"\n        input_ids = g_tokenizer(prompt_overall_summary, return_tensors=\"pt\")\n        overall_prompt_len = len(input_ids[\"input_ids\"][0])\n\n        if overall_prompt_len > max_len:\n            print(f\"skipping overall summary for competition {competition} due to too high length {overall_prompt_len}.\")\n            overall_summary, overall_summary_md = memory_error_msg, memory_error_msg\n        else:\n            overall_summary, overall_summary_md = gemma_generate(prompt_overall_summary)\n\n        input_ids = g_tokenizer(overall_summary, return_tensors=\"pt\")\n        overall_summary_len = len(input_ids[\"input_ids\"][0])\n        \n        #print(overall_summary)\n        print(f\"     prompt lengths={comp_prompt_lengths}\")\n        print(f\"    writeup lengths={comp_writeup_lengths}\")\n        print(f\"    summary lengths={comp_summary_lengths}\")\n        print(f\"    total writeups length:{sum(comp_writeup_lengths)}, overall prompt length: {overall_prompt_len}, overall summary length: {overall_summary_len}\")\n        overall_summaries.append(overall_summary_md)\n        overall_summary_prompts.append(prompt_overall_summary)\n    print(f\"total of {len(prompts)} competitions processed\")\n","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:56.783765Z","start_time":"2024-03-26T21:15:56.764937Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## List of Competitions Selected to Summarize\n\nJust as a reminder of how did the selection earlier end up.","metadata":{}},{"cell_type":"code","source":"used_names","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:58.064323Z","start_time":"2024-03-26T21:15:58.060220Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"len(writeup_dataframes)","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:15:59.216340Z","start_time":"2024-03-26T21:15:59.212489Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#display(writeup_dataframes[0])","metadata":{"ExecuteTime":{"end_time":"2024-03-26T21:16:00.138040Z","start_time":"2024-03-26T21:16:00.134863Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Summarize Writeups for Selected Competitions in Sets of Writeups\n\nThe subsets are used to manage GPU memory better. The subsets per competition will be summarized together to get a single summary per competition after.","metadata":{}},{"cell_type":"code","source":"# just using the top 5 competitions and their writeups here to keep the runtime reasonable.\n# its a tradeoff in the end to investigate how to select the best number in any case..\nfor x in range(len(used_names[:5])):\n    name = used_names[x]\n    # writeup_dataframes holds the writeups for the competition name at same index\n    for df_subframe in writeup_dataframes[x]:\n        summarize_competition_writeups([name], df_subframe)\n\n","metadata":{"ExecuteTime":{"start_time":"2024-03-26T21:16:00.662179Z"},"is_executing":true,"_kg_hide-output":false,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Recombine Competition Writeup Sub-Summaries\n\nNow we have a list of summaries per competition, each summarizing some 2-5 writeups together. For example, [summary1, summary2, summary3] for a single competition. This summarizes these competition writeup summaries into a single final writeup summary per competition. \n\nSo in this case those 3 summaries would become one [final_summary_for_competition_1]. This is done for each competition until there is just one final writeup summary per competition. Gemma seems to do quite well in this type of hierarchical summarization.\n","metadata":{}},{"cell_type":"code","source":"def recombine_summaries(summaries, sublist_lengths):\n    result = []\n    start_index = 0\n    for length in sublist_lengths:\n        end_index = start_index + length\n        result.append(summaries[start_index:end_index])\n        start_index = end_index\n\n    return result \n\n# Example usage\nsummaries = [\"summary1_1\", \"summary1_2\", \"summary2_1\", \"summary2_2\", \"summary3_1\"]\nsublist_lengths = [2, 2, 1]\n\nrecombine_summaries(summaries, sublist_lengths)\n# Output: [['summary1_1', 'summary1_2'], ['summary2_1', 'summary2_2'], ['summary3_1']]\n","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sublist_lengths = [len(sub) for sub in writeup_dataframes]\nsublist_lengths\n","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"combined = recombine_summaries(overall_summaries, sublist_lengths)\n","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#checks how many sub-summaries each competition has\n[len(sub) for sub in combined]\n","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Check on a Competition Sub-Summaries\n\nLets see what the competition writeup sub-set summaries look like:","metadata":{}},{"cell_type":"code","source":"combined[0][0]","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"combined[0][1]","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"combined[0][2]","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"combined[0][2].data","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Summarize Competition Sub-Summaries into a single one\n\nHere the overall summarization happens. So [summary1, summary2, summary3] per competition now becomes [final_summary_for_competition_1] (for competition1), as noted above. ","metadata":{}},{"cell_type":"code","source":"def summarize_subsummaries(sublist):\n    writeup_summaries = [summary.data for summary in sublist]\n    points = \"\\n\\n\".join(writeup_summaries)\n    prompt = f\"\"\"collect the key points listed in these writeup summaries into one list of key points.\n    include the descriptions given for these key points.\n    do not add any new points or summarize these in any way beyond collection the points and their descriptions:\n    \n    {points}\n    \"\"\"\n    summary, summary_md = gemma_generate(prompt)\n    return summary, summary_md","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"len(combined)","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"summary, summary_md = summarize_subsummaries(combined[0])","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Look at a Final Summary, Pick a Question\n\nJust a check on the overall summary of the selected competition above. The key points from this will be used as a question to Gemma to start a chat about what solutions are used in those competitions.","metadata":{}},{"cell_type":"code","source":"summary_md","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Setting up RAG Pipeline to Answer the Questions\n\nFirst the base embedding model used for the chunks.","metadata":{}},{"cell_type":"code","source":"if on_kaggle:\n    llm = \"/kaggle/input/bge-base-en-v1-5/bge-base-en-v1.5\"\nelse:\n    llm = \"/mystuff/llm/bge-base-en-v1.5\"\nbge_tokenizer = AutoTokenizer.from_pretrained(llm, local_files_only=True)\n\n#try to get chunks of about 256 tokens for the writeups\ntext_splitter = RecursiveCharacterTextSplitter.from_huggingface_tokenizer(\n    bge_tokenizer, chunk_size=256, chunk_overlap=32, separators=[\"\\n\\n\", \"\\n\", \". \"]\n)\n","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"embed_model = SentenceTransformer(llm)","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## FAISS vector store for similarity search over chunks","metadata":{}},{"cell_type":"code","source":"test_embeddings = embed_model.encode([\"text for test\"], normalize_embeddings=True)\nd = test_embeddings.shape[1]\nfaiss_index = faiss.index_factory(d, \"Flat\")","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"d","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Flatten Writeups for RAG Chunking","metadata":{}},{"cell_type":"code","source":"flat_list_of_dfs = [item for sublist in writeup_dataframes for item in sublist]\n\nresult_df = pd.concat(flat_list_of_dfs, ignore_index=True) \n","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"len(writeup_dataframes)","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"result_df","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Iterate, Chunk, and Index all Writeups\n\nThe collected writeups are only for the most similar competitions selected at the beginnign of this notebook. So I will use all these writeups as the search documents here. ","metadata":{}},{"cell_type":"code","source":"all_chunks = []\n# chunk metas will contain the dataframe row (writeup id)\n# and the chunk id within that writeup\nchunk_metas = []\n\nfor i, row in result_df.iterrows():\n    text = row[\"writeup_clean\"]\n    # the text seems to sometimes have some strange unicode spaces:\n    # https://stackoverflow.com/questions/10993612/how-to-remove-xa0-from-string-in-python\n    text = text.replace(u'\\xa0', u' ')\n    chunks = text_splitter.split_text(text)\n    embeddings = embed_model.encode(chunks, normalize_embeddings=True)#, show_progress_bar=True)\n    faiss_index.add(embeddings)\n#    token_count = len(tokenizer(chunk)[\"input_ids\"])\n#    if token_count > 500:\n#        print(f\"too long chunk for model: {i}:{chunk_idx} = {token_count}\")\n    chunk_metas.extend((i, chunk_idx) for chunk_idx in range(0, len(chunks)))\n    all_chunks.extend(chunks)\n\n","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"len(all_chunks)","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"result_df.shape","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"len(chunk_metas)\n","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# simiple sanity check if there are overly long chunks for some reason\ntexts_filtered = []\nfor text in all_chunks:\n    token_count = len(g_tokenizer(text)[\"input_ids\"])\n    if token_count < 500:\n        continue\n    texts_filtered.append(text)","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Chunk Similarity Search and Re-ranking\n\nRe-ranking with a specific model takes a bit longer but generally is thought to give better ranking. This time I will trial question-based re-ranking using a more traditional Cross-Encoder re-ranker and again the Gemma 2B based LLM re-ranker. I expect the LLM re-ranker should do better here vs the description search, as it is intended for question-based re-ranking.","metadata":{}},{"cell_type":"code","source":"import time\n\ndef mbxai_rerank_question_docs(query, documents, k=20):\n    if on_kaggle:\n        llm = \"/kaggle/input/mxbai-rerank-large-v1/mxbai-rerank-large-v1\"\n    else:\n        llm = \"/mystuff/llm/mxbai-rerank-large-v1\"\n    model = CrossEncoder(llm)\n    start_time = time.time()\n    results = model.rank(query, documents, return_documents=True, top_k=k)\n    end_time = time.time()\n    print(f\"time to rerank: {end_time-start_time} seconds\")\n    indices = [result['corpus_id'] for result in results]\n    scores = [result['score'] for result in results]\n    texts = [result['text'] for result in results]\n    del model\n    return scores, texts, indices\n","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def find_rag_chunks(query, k=5):\n    q_embeddings = embed_model.encode([query], normalize_embeddings=True, show_progress_bar=True)\n    q_array = np.array(q_embeddings)\n    faiss_scores, faiss_indices = faiss_index.search(q_array, k)\n\n    selected_chunks = []\n    selected_comps = []\n    selected_chunk_idx = []\n    for chunk_idx in faiss_indices[0]:\n        chunk = all_chunks[chunk_idx]\n        selected_chunks.append(chunk)\n        chunk_meta = chunk_metas[chunk_idx]\n        competition_idx = chunk_meta[0]\n        chunk_idx = chunk_meta[1]\n        selected_comps.append(competition_idx)\n        selected_chunk_idx.append(chunk_idx)\n        comp_title = result_df.iloc[competition_idx][\"Title of Competition\"]\n        writeup_title = result_df.iloc[competition_idx][\"Title of Writeup\"]\n    # selected chunks is the actual content. selected comps=just the index of the competition\n    return selected_chunks, selected_comps, selected_chunk_idx\n\ndef rerank_rag_chunks(query, input_chunks, k=5, use_gemma=True):\n    if use_gemma:\n        scores_rag_chunks, sorted_rag_chunks, indices_rag_chunks = gemma_rerank_question_docs(query, input_chunks)\n    else:\n        scores_rag_chunks, sorted_rag_chunks, indices_rag_chunks = mbxai_rerank_question_docs(query, input_chunks)\n    return scores_rag_chunks[:k], sorted_rag_chunks[:k], indices_rag_chunks[:k]","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# sometimes Gemma specific cleaning is needed\ndef remove_eos(text):\n    if text.endswith(\"<eos>\"):\n        return text[:-5]\n    else:\n        return text","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Use Re-Ranked Chunks as Context, Answer Questions with Gemma","metadata":{}},{"cell_type":"code","source":"def build_rag_input(input_chunks, query):\n    rag_input = \"\\n\\n\".join(input_chunks)\n    prompt1 = f\"\"\"given the following context:\\n{rag_input}\\n\nanswer the following question: {query}\\n\\n\n\"\"\"\n    chat = [\n        { \"role\": \"user\", \"content\": prompt1 },\n    ]\n    prompt = g_tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)\n    return prompt, chat","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def rag_bootstrap(query, use_gemma=True):\n    # chunks were made at about 256 tokens max cap, so 10 chunks should be about 2000 tokens\n    # this should be a good starting point for the model and also likely fits even in kaggle GPU RAM\n    # thus I start with 50 chunks in retrieval and 10 in reranking\n    selected_chunks, selected_comps, selected_chunk_idx = find_rag_chunks(query, k=50)\n    _, sorted_rag_chunks, _ = rerank_rag_chunks(query, selected_chunks, k=10, use_gemma=use_gemma)\n    prompt, chat = build_rag_input(sorted_rag_chunks, query)\n    answer = gemma_generate(prompt)\n    answer = remove_eos(answer[0])\n    return answer, chat\n    ","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def rag_on(chat_so_far, answer, query):\n    chat_so_far.append({\"role\": \"model\", \"content\": answer})\n    chat_so_far.append({\"role\": \"user\", \"content\": query})\n    prompt = g_tokenizer.apply_chat_template(chat_so_far, tokenize=False, add_generation_prompt=True)\n    answer = gemma_generate(prompt)\n    answer = remove_eos(answer[0])\n    return answer, chat_so_far","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false}},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Some Example Questions and Answers \n\nNow for an example question and its answer. First, a reminder of the summary of key points from earlier:","metadata":{}},{"cell_type":"code","source":"summary_md","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"I will first ask about feature engineering first from these key points. It is quite a common topic in competitions, so lets see: ","metadata":{}},{"cell_type":"code","source":"q = \"what kind of feature engineering is used in these solutions?\"","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Gemma 7B-it answer with Gemma 2B re-ranked context\n","metadata":{}},{"cell_type":"code","source":"%%time\nanswer, g_chat = rag_bootstrap(q)\nMarkdown(answer)","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\nanswer, g_chat = rag_on(g_chat, answer, \"how do they use feature interactions?\")\nMarkdown(answer)","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\nanswer, g_chat = rag_on(g_chat, answer, \"thats nice thanks. what kind of feature interactions are used in datascience in general besides these writeups?\")\nMarkdown(answer)","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\nq2 = \"can you give me examples of how feature interactions are used in these solutions?\"\nanswer, g_chat2 = rag_bootstrap(q2)\nMarkdown(answer)","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Markdown(chat[0][\"content\"])","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#https://huggingface.co/BAAI/bge-reranker-base\n#https://huggingface.co/BAAI/bge-m3\n#https://huggingface.co/BAAI/bge-reranker-v2-gemma\n#https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v1","metadata":{"is_executing":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Cross-Encoder (MXBAI) Reranker\n\nNow for the Cross-Encoder based re-ranking context. This should at least be much faster than the LLM re-ranker, and in my experience these do quite well. Let's see.\n","metadata":{}},{"cell_type":"code","source":"%%time\nanswer, mx_chat = rag_bootstrap(q, False)\nMarkdown(answer)","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\nanswer, mx_chat = rag_on(mx_chat, answer, \"how do they use feature interactions?\")\nMarkdown(answer)","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\nq2 = \"can you give me examples of how feature interactions are used in these solutions?\"\nanswer, g_chat2 = rag_bootstrap(q2, False)\nMarkdown(answer)","metadata":{"collapsed":false,"is_executing":true,"jupyter":{"outputs_hidden":false},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Conclusions for These Experiments\n\nWell, this has been an interesting experiment. A few conclusions on this notebook so far:\n\n- **Summarization**: \n  - As noted in my previous notebook, Gemma does quite good in summarizing key points, as long as the prompts are tuned to the application. \n  - Gemma also did well in summarizing subset summaries into a final, overall summary.\n  - For RAG style Q&A, the key points of summaries seem to provide good points to get into more details via chatting with Gemma.\n- **RAG Q&A**: \n  - Gemma seems to stick quite strictly to its given context. Which is good I guess to prevent too much hallucination, but something to keep in mind if want broader context.\n  - This seems to make it a bit more sensitive to context building. Something to keep in mind.\n\n**Gemma 2B re-ranker Observations**:\n\n- **Speed**: \n  - As expected, the LLM re-ranker is significantly slower than the more traditional Cross-Encoders re-ranker. \n  - If that is acceptable tradeoff to manage, it seems useful to investigate as an option for question-based re-ranking.\n- **Performance**: \n  - The Gemma 2B LLM re-ranker results for competition description comparison did not seem very impressive, possible due to being intended for question-based re-ranking.\n  - For question based answer re-ranking, it seems to have more potential, and including it as an option to consider again something to keep in mind if the speed tradeoff is not too big.\n\n(to be continued another day..)","metadata":{"is_executing":true,"jupyter":{"outputs_hidden":false}}},{"cell_type":"code","source":"","metadata":{"collapsed":false,"jupyter":{"outputs_hidden":false}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}