Fine_Tuning_LLM_part_2.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Taha0229/finetuning_LLM/blob/main/Fine_Tuning_LLM_part_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "i0MioKizPAtg"
      },
      "source": [
        "# Fine-Tune a Generative AI Model for Dialogue Summarization"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dfq_RrLJPAtj"
      },
      "source": [
        "In this notebook I have tried improving the performance of the Flan-T5 LLM in our specific use case which is conversation summarization. The objective is to-\n",
        "1. Perform full instruction fine tuning,\n",
        "2. Apply PEFT (Paramete Efficient Fine Tuning) techniques:\n",
        "i.  LoRA\n",
        "ii. Prompt tuning\n",
        "3. Evaluate the model's performance\n",
        "\n",
        "Full fine tuning takes a lot of compute but provides best results, however with a larger model and a decent dataset we can still achieve comparable results with PEFT techniques. More on each techniques in the respective section.\n",
        "\n",
        "**Note:**\n",
        "As fine-tunning an LLM takes a lot of compute, I have opted to train a comparatively smaller LLM (Flan-T5; 248M parameters). However, the process for training any larger LLM remains the same.\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "04Uyb6BTPAtm"
      },
      "source": [
        "## 1 - Set up Kernel, Load Required Dependencies, Dataset and LLM"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xw69LcfQPAtn"
      },
      "source": [
        "### 1.1 - Set up Kernel and Required Dependencies"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JxvwjuQBPAtq",
        "outputId": "45d67503-7ddd-4d24-cb07-bb512310fa78"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
            "\u001b[0m"
          ]
        }
      ],
      "source": [
        "%pip install -U datasets==2.17.0\n",
        "\n",
        "%pip install --upgrade pip \\\n",
        "    torch==1.13.1 \\\n",
        "    torchdata==0.5.1 --quiet\n",
        "\n",
        "%pip install \\\n",
        "    transformers==4.27.2 \\\n",
        "    evaluate==0.4.0 \\\n",
        "    rouge_score==0.1.2 \\\n",
        "    loralib==0.1.1 \\\n",
        "    peft==0.3.0 --quiet"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "jcE4lmQ6PAtr"
      },
      "source": [
        "Import the required components."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "mlIlHlf0PAts"
      },
      "outputs": [],
      "source": [
        "from datasets import load_dataset\n",
        "from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, GenerationConfig, TrainingArguments, Trainer\n",
        "import torch\n",
        "import time\n",
        "import evaluate\n",
        "import pandas as pd\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "czqQyGFgPAts"
      },
      "source": [
        "### 1.2 - Load Dataset and LLM\n",
        "\n",
        "Going with the same dataset as in the previous [notebook](https://colab.research.google.com/github/Taha0229/GenAI_with_LLM/blob/main/Fine_tuning_LLM_part_1.ipynb): [DialogSum](https://huggingface.co/datasets/knkarthick/dialogsum). It contains 10,000+ dialogues with the corresponding manually labeled summaries and topics."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YKPdU5wKPAts",
        "outputId": "59e6ede6-4865-4626-b6cc-4cbd4c482a3c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DatasetDict({\n",
              "    train: Dataset({\n",
              "        features: ['id', 'dialogue', 'summary', 'topic'],\n",
              "        num_rows: 12460\n",
              "    })\n",
              "    validation: Dataset({\n",
              "        features: ['id', 'dialogue', 'summary', 'topic'],\n",
              "        num_rows: 500\n",
              "    })\n",
              "    test: Dataset({\n",
              "        features: ['id', 'dialogue', 'summary', 'topic'],\n",
              "        num_rows: 1500\n",
              "    })\n",
              "})"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "huggingface_dataset_name = \"knkarthick/dialogsum\"\n",
        "\n",
        "dataset = load_dataset(huggingface_dataset_name)\n",
        "\n",
        "dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "s6azGp8LPAtt"
      },
      "source": [
        "Load the pre-trained [FLAN-T5 model](https://huggingface.co/docs/transformers/model_doc/flan-t5) and its tokenizer directly from HuggingFace. Setting `torch_dtype=torch.bfloat16` specifies the memory type to be used by this model.`bfloat16` will use half of the memory required for the default `bfloat32`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "Jr9JUCl9PAtt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "de1eaa9e-a3d8-47c1-c5f6-cafc51ff0962"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
            "  warnings.warn(\n"
          ]
        }
      ],
      "source": [
        "model_name='google/flan-t5-base'\n",
        "\n",
        "original_model = AutoModelForSeq2SeqLM.from_pretrained(model_name, torch_dtype=torch.bfloat16)\n",
        "tokenizer = AutoTokenizer.from_pretrained(model_name)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "P6f4wqW-PAtu"
      },
      "source": [
        "Pulling out the number of model parameters to check how many of them are trainable."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gLONbgHlPAtv",
        "outputId": "0edbcfc1-2e84-44e9-c135-93d9772a4902"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "trainable model parameters: 247577856\n",
            "all model parameters: 247577856\n",
            "percentage of trainable model parameters: 100.00%\n"
          ]
        }
      ],
      "source": [
        "def print_number_of_trainable_model_parameters(model):\n",
        "    trainable_model_params = 0\n",
        "    all_model_params = 0\n",
        "    for _, param in model.named_parameters():\n",
        "        all_model_params += param.numel()\n",
        "        if param.requires_grad:\n",
        "            trainable_model_params += param.numel()\n",
        "    return f\"trainable model parameters: {trainable_model_params}\\nall model parameters: {all_model_params}\\npercentage of trainable model parameters: {100 * trainable_model_params / all_model_params:.2f}%\"\n",
        "\n",
        "print(print_number_of_trainable_model_parameters(original_model))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "VGrBp_yvPAtv"
      },
      "source": [
        "### 1.3 - Test the Model with Zero Shot Inferencing\n",
        "\n",
        "Testing the model with zero shot inferencing. The model will struggle to summarize the dialogue compared to the baseline summary, but we can use this as reference for later fine-tuned model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HPJDubO8PAtv",
        "outputId": "30066113-d6e6-4dc7-dd6b-600a9faf83c6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "---------------------------------------------------------------------------------------------------\n",
            "INPUT PROMPT:\n",
            "\n",
            "Summarize the following conversation.\n",
            "\n",
            "#Person1#: Have you considered upgrading your system?\n",
            "#Person2#: Yes, but I'm not sure what exactly I would need.\n",
            "#Person1#: You could consider adding a painting program to your software. It would allow you to make up your own flyers and banners for advertising.\n",
            "#Person2#: That would be a definite bonus.\n",
            "#Person1#: You might also want to upgrade your hardware because it is pretty outdated now.\n",
            "#Person2#: How can we do that?\n",
            "#Person1#: You'd probably need a faster processor, to begin with. And you also need a more powerful hard disc, more memory and a faster modem. Do you have a CD-ROM drive?\n",
            "#Person2#: No.\n",
            "#Person1#: Then you might want to add a CD-ROM drive too, because most new software programs are coming out on Cds.\n",
            "#Person2#: That sounds great. Thanks.\n",
            "\n",
            "Summary:\n",
            "\n",
            "---------------------------------------------------------------------------------------------------\n",
            "BASELINE HUMAN SUMMARY:\n",
            "#Person1# teaches #Person2# how to upgrade software and hardware in #Person2#'s system.\n",
            "\n",
            "---------------------------------------------------------------------------------------------------\n",
            "MODEL GENERATION - ZERO SHOT:\n",
            "#Person1#: I'm thinking of upgrading my computer.\n"
          ]
        }
      ],
      "source": [
        "index = 200\n",
        "\n",
        "dialogue = dataset['test'][index]['dialogue']\n",
        "summary = dataset['test'][index]['summary']\n",
        "\n",
        "prompt = f\"\"\"\n",
        "Summarize the following conversation.\n",
        "\n",
        "{dialogue}\n",
        "\n",
        "Summary:\n",
        "\"\"\"\n",
        "\n",
        "inputs = tokenizer(prompt, return_tensors='pt') # tokenized the input\n",
        "output = tokenizer.decode( # decoding the generated tokens from the llm to english\n",
        "    original_model.generate( # generating the token streams from the llm\n",
        "        inputs[\"input_ids\"],\n",
        "        max_new_tokens=200,\n",
        "    )[0],\n",
        "    skip_special_tokens=True\n",
        ")\n",
        "\n",
        "dash_line = '-'.join('' for x in range(100))\n",
        "print(dash_line)\n",
        "print(f'INPUT PROMPT:\\n{prompt}')\n",
        "print(dash_line)\n",
        "print(f'BASELINE HUMAN SUMMARY:\\n{summary}\\n')\n",
        "print(dash_line)\n",
        "print(f'MODEL GENERATION - ZERO SHOT:\\n{output}')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "IrtyiLVOPAtw"
      },
      "source": [
        "## 2 - Perform Full Fine-Tuning"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "PZsd3tqwPAtx"
      },
      "source": [
        "### 2.1 - Preprocess the Dialog-Summary Dataset\n",
        "\n",
        "Objective: Convert the dialog-summary (prompt-response) pairs into explicit instructions for the LLM.  \n",
        "Prepend an instruction to the start of the dialog with `Summarize the following conversation` and to the start of the summary with `Summary` as follows:\n",
        "\n",
        "\n",
        "\n",
        "Training prompt (dialogue):\n",
        "```\n",
        "Summarize the following conversation.\n",
        "\n",
        "    Chris: This is his part of the conversation.\n",
        "    Antje: This is her part of the conversation.\n",
        "    \n",
        "Summary:\n",
        "```\n",
        "\n",
        "Training response (summary):\n",
        "```\n",
        "Both Chris and Antje participated in the conversation.\n",
        "```\n",
        "\n",
        "Then preprocess the prompt-response dataset into tokens and pull out their `input_ids` (1 per token)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "3902ea59301249cbadaa7082298aa6e2",
            "13615e66418a47abb7f938519755133b",
            "5e4115f52ce24a0ba5f5f0b129be05ba",
            "c815fdfcd1b143d6a87d9fcfe2ae6964",
            "776d63c89f6d4a70a1c14d3026538c13",
            "dd2c5722306b4c5fa60f2377a611ff2a",
            "6038bb63d9244d2a974aff5630205ec1",
            "66106dfe2484466492129f31f73f7710",
            "9eec725eb25040b8a7bcbc87b005a033",
            "926dd930ee9e4403a3ef4e41345177c1",
            "fe28faf7b032410e8b94691d455ec334"
          ]
        },
        "id": "pm67nthxPAtx",
        "outputId": "cc857572-08ed-4f99-904c-89f2b5536016"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map:   0%|          | 0/1500 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3902ea59301249cbadaa7082298aa6e2"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "def tokenize_function(example):\n",
        "    start_prompt = 'Summarize the following conversation.\\n\\n'\n",
        "    end_prompt = '\\n\\nSummary: '\n",
        "    prompt = [start_prompt + dialogue + end_prompt for dialogue in example[\"dialogue\"]]\n",
        "    example['input_ids'] = tokenizer(prompt, padding=\"max_length\", truncation=True, return_tensors=\"pt\").input_ids\n",
        "    example['labels'] = tokenizer(example[\"summary\"], padding=\"max_length\", truncation=True, return_tensors=\"pt\").input_ids\n",
        "\n",
        "    return example\n",
        "\n",
        "# The dataset actually contains 3 diff splits: train, validation, test.\n",
        "# The tokenize_function code is handling all data across all splits in batches.\n",
        "tokenized_datasets_full = dataset.map(tokenize_function, batched=True)\n",
        "tokenized_datasets_full = tokenized_datasets_full.remove_columns(['id', 'topic', 'dialogue', 'summary',])"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Shapes of all three parts of the full dataset:"
      ],
      "metadata": {
        "id": "OuDVDvGprjwl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(f\"Shapes of the datasets:\")\n",
        "print(f\"Training: {tokenized_datasets_full['train'].shape}\")\n",
        "print(f\"Validation: {tokenized_datasets_full['validation'].shape}\")\n",
        "print(f\"Test: {tokenized_datasets_full['test'].shape}\")\n",
        "\n",
        "print(tokenized_datasets_full)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kRV2jEj-rMUr",
        "outputId": "ce167ee3-9871-43fc-ac1c-a0c3da9e4962"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shapes of the datasets:\n",
            "Training: (12460, 2)\n",
            "Validation: (500, 2)\n",
            "Test: (1500, 2)\n",
            "DatasetDict({\n",
            "    train: Dataset({\n",
            "        features: ['input_ids', 'labels'],\n",
            "        num_rows: 12460\n",
            "    })\n",
            "    validation: Dataset({\n",
            "        features: ['input_ids', 'labels'],\n",
            "        num_rows: 500\n",
            "    })\n",
            "    test: Dataset({\n",
            "        features: ['input_ids', 'labels'],\n",
            "        num_rows: 1500\n",
            "    })\n",
            "})\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "Xhi7hYKXPAty"
      },
      "source": [
        "To save some time and compute, we can subsample the dataset:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "17c112d144894c63beaa1fdf2b75ec16",
            "5fdb50464aaa4f229f743957d46c4c55",
            "8712f2e3f5984fed8548fd0fd4ac9fe7",
            "9c08aab68a6341f0b881b6679c27e676",
            "149b66404b7b4c3ea1011967b1d5e362",
            "93ca720509764f5a8b1e5a609b6fc706",
            "6ed82610f94a4a73887153e47b27e8fd",
            "df32ce0b95834995adfc7131377815b1",
            "b91b9dee64d64436b7a52d9db90ea0b9",
            "76aa860433a64ab58ee492d8e9b53571",
            "7ed01edae9804961a810555ba511e5f2"
          ]
        },
        "id": "bE_R5yyBPAty",
        "outputId": "cbf1491b-3f5e-40d9-fbc4-5404979d72c4"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Filter:   0%|          | 0/1500 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "17c112d144894c63beaa1fdf2b75ec16"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "tokenized_datasets = tokenized_datasets_full.filter(lambda example, index: index % 60 == 0, with_indices=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "xrgkJVNyPAtz"
      },
      "source": [
        "Shapes of all three parts of the filtered dataset:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JJ4Q6x7-PAtz",
        "outputId": "0dfdf1b1-ef40-494a-9a01-d7633c6572d3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shapes of the datasets:\n",
            "Training: (208, 2)\n",
            "Validation: (9, 2)\n",
            "Test: (25, 2)\n",
            "DatasetDict({\n",
            "    train: Dataset({\n",
            "        features: ['input_ids', 'labels'],\n",
            "        num_rows: 208\n",
            "    })\n",
            "    validation: Dataset({\n",
            "        features: ['input_ids', 'labels'],\n",
            "        num_rows: 9\n",
            "    })\n",
            "    test: Dataset({\n",
            "        features: ['input_ids', 'labels'],\n",
            "        num_rows: 25\n",
            "    })\n",
            "})\n"
          ]
        }
      ],
      "source": [
        "print(f\"Shapes of the datasets:\")\n",
        "print(f\"Training: {tokenized_datasets['train'].shape}\")\n",
        "print(f\"Validation: {tokenized_datasets['validation'].shape}\")\n",
        "print(f\"Test: {tokenized_datasets['test'].shape}\")\n",
        "\n",
        "print(tokenized_datasets)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LO3_FcArPAtz"
      },
      "source": [
        "The output dataset is ready for fine-tuning."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5cO7gup4PAt0"
      },
      "source": [
        "### 2.2 - Fine-Tune the Model with the Preprocessed Dataset\n",
        "\n",
        "We can utilize the built-in Hugging Face `Trainer` class ([documentation](https://huggingface.co/docs/transformers/main_classes/trainer) ). Pass the preprocessed dataset with reference to the original model. Here, I am using my drive to save the checkpoints, change the `output_dir` to save the model somewhere else."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# connect to google drive\n",
        "\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NjUMQbHkiJui",
        "outputId": "608a5d9c-04af-4ad7-aba2-11c26f1dabc1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Delete a folder\n",
        "# folder_name = \"dialogue-summary-training-1716519001\"\n",
        "# import shutil\n",
        "# shutil.rmtree(f'/content/{folder_name}')\n"
      ],
      "metadata": {
        "id": "LbHSITpMizZV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Check a path\n",
        "import os\n",
        "path = \"./drive/MyDrive/Gen AI - fine tuning/dialogue-summary-training-colab\"\n",
        "os.path.exists(path)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wK0mHzlLjLWY",
        "outputId": "7eaf137f-c5a9-4ae9-c0d7-2b230ea637c6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "EhSBHlmyPAt0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a6227861-50e3-4e54-a27d-650e241c278d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "CREATING A DIRECTORY AT ./drive/MyDrive/Gen AI - fine tuning/dialogue-summary-training-colab\n"
          ]
        }
      ],
      "source": [
        "\n",
        "output_dir = f'./drive/MyDrive/Gen AI - fine tuning/dialogue-summary-training-colab'\n",
        "\n",
        "if not os.path.exists(output_dir):\n",
        "  print(f\"CREATING A DIRECTORY AT {output_dir}\")\n",
        "  os.mkdir(output_dir)\n",
        "\n",
        "training_args = TrainingArguments(\n",
        "    output_dir=output_dir,\n",
        "    learning_rate=1e-5,\n",
        "    num_train_epochs=100,\n",
        "    weight_decay=0.01,\n",
        "    logging_steps=1,\n",
        ")\n",
        "training_args = training_args.set_dataloader(train_batch_size=6, eval_batch_size=4)\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "trainer = Trainer(\n",
        "    model=original_model,\n",
        "    args=training_args,\n",
        "    train_dataset=tokenized_datasets['train'],\n",
        "    eval_dataset=tokenized_datasets['validation']\n",
        ")"
      ],
      "metadata": {
        "id": "2ZE2hSl2fodA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Access the checkpoint of this training"
      ],
      "metadata": {
        "id": "oxDhmSf1t6LA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# !gdown --folder 115QXW-Fk6wbY9DWc3-77wezpb7pShiPt"
      ],
      "metadata": {
        "id": "TN7hvVLZftIe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "###**Quick math before training:**\n",
        "\n",
        "When using a T4 GPU instance in Google Colab for full instruction fine-tuning, the training_batch_size cannot exceed 6. Through trial and error, I found that to make the most of Colab's free tier, the dataset should be around 200-250 examples due to the available compute time of approximately 2.5 to 3 hours. The default batch size of 8 requires 20.76 GB of VRAM. For further training, I used AWS ml.m5.2xl, which provides 32 GB of VRAM, to train on the full dataset.\n",
        "\n",
        "\n",
        "Following are the general memory requirements for an LLM (higher end):\n",
        "  \n",
        "| Component                       | Memory Required per Parameter |\n",
        "|---------------------------------|-------------------------------|\n",
        "| LLM Parameter (float32)         | 4 Bytes                       |\n",
        "| Adam Optimizer                  | 8 Bytes                       |\n",
        "| Gradients                       | 4 Bytes                       |\n",
        "| Activations and Temp Memory     | 8 Bytes                       |\n",
        "\n",
        "Total no. of parameters in the model = 248 Million  \n",
        "Following are the specific memory requirements for `google/flan-t5-base` with `bfloat16` and a `batch size` of one:\n",
        "\n",
        "| Component                       | Memory Required per Parameter |\n",
        "|---------------------------------|-------------------------------|\n",
        "| LLM Parameter (float32)         | 850.3 MB or 0.830 GB          |\n",
        "| Adam Optimizer                  | 1.66 GB * `batch_size`        |\n",
        "| Back Propagation + Misc         | 0.83 GB * `batch_size`        |\n",
        "|  Total                          | 3.32 GB (for `batch_size=1`)  |\n",
        "\n",
        "\n",
        "  \n",
        "This also motivates us to try out other low compute PEFT strategies.\n",
        "\n"
      ],
      "metadata": {
        "id": "ntx6aU8Pxs6r"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "auBRid5HPAt1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "873a9eee-a3df-4f1c-c764-d1eef0fe7e0d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/optimization.py:391: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      \n",
              "      <progress value='3500' max='3500' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [3500/3500 2:13:30, Epoch 100/100]\n",
              "    </div>\n",
              "    <table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              " <tr style=\"text-align: left;\">\n",
              "      <th>Step</th>\n",
              "      <th>Training Loss</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>50.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>48.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>51.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>51.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5</td>\n",
              "      <td>48.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6</td>\n",
              "      <td>48.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7</td>\n",
              "      <td>49.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8</td>\n",
              "      <td>48.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9</td>\n",
              "      <td>51.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10</td>\n",
              "      <td>49.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11</td>\n",
              "      <td>48.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12</td>\n",
              "      <td>48.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13</td>\n",
              "      <td>46.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14</td>\n",
              "      <td>47.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15</td>\n",
              "      <td>49.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16</td>\n",
              "      <td>46.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17</td>\n",
              "      <td>50.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18</td>\n",
              "      <td>48.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19</td>\n",
              "      <td>48.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20</td>\n",
              "      <td>47.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21</td>\n",
              "      <td>48.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22</td>\n",
              "      <td>50.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23</td>\n",
              "      <td>48.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24</td>\n",
              "      <td>46.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25</td>\n",
              "      <td>45.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26</td>\n",
              "      <td>48.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27</td>\n",
              "      <td>47.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28</td>\n",
              "      <td>46.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29</td>\n",
              "      <td>45.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30</td>\n",
              "      <td>50.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31</td>\n",
              "      <td>48.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32</td>\n",
              "      <td>49.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33</td>\n",
              "      <td>46.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34</td>\n",
              "      <td>48.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35</td>\n",
              "      <td>47.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36</td>\n",
              "      <td>48.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37</td>\n",
              "      <td>47.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38</td>\n",
              "      <td>45.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39</td>\n",
              "      <td>47.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40</td>\n",
              "      <td>47.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41</td>\n",
              "      <td>47.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42</td>\n",
              "      <td>46.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43</td>\n",
              "      <td>46.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44</td>\n",
              "      <td>45.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45</td>\n",
              "      <td>47.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46</td>\n",
              "      <td>46.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47</td>\n",
              "      <td>43.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48</td>\n",
              "      <td>45.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49</td>\n",
              "      <td>45.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50</td>\n",
              "      <td>46.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51</td>\n",
              "      <td>45.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52</td>\n",
              "      <td>46.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53</td>\n",
              "      <td>47.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54</td>\n",
              "      <td>49.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55</td>\n",
              "      <td>46.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56</td>\n",
              "      <td>46.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57</td>\n",
              "      <td>48.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58</td>\n",
              "      <td>46.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59</td>\n",
              "      <td>46.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60</td>\n",
              "      <td>44.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61</td>\n",
              "      <td>47.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62</td>\n",
              "      <td>45.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63</td>\n",
              "      <td>49.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64</td>\n",
              "      <td>47.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66</td>\n",
              "      <td>45.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67</td>\n",
              "      <td>47.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>68</td>\n",
              "      <td>46.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>69</td>\n",
              "      <td>47.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>70</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>71</td>\n",
              "      <td>46.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>72</td>\n",
              "      <td>44.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>73</td>\n",
              "      <td>45.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>74</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>75</td>\n",
              "      <td>46.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>76</td>\n",
              "      <td>44.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>77</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>78</td>\n",
              "      <td>44.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>79</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>80</td>\n",
              "      <td>45.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>81</td>\n",
              "      <td>42.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>82</td>\n",
              "      <td>45.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>83</td>\n",
              "      <td>45.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>84</td>\n",
              "      <td>44.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>85</td>\n",
              "      <td>45.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>86</td>\n",
              "      <td>45.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>87</td>\n",
              "      <td>45.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>88</td>\n",
              "      <td>44.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>89</td>\n",
              "      <td>44.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>90</td>\n",
              "      <td>44.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>91</td>\n",
              "      <td>44.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>92</td>\n",
              "      <td>44.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>93</td>\n",
              "      <td>43.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>94</td>\n",
              "      <td>44.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>95</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>96</td>\n",
              "      <td>42.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>97</td>\n",
              "      <td>44.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>98</td>\n",
              "      <td>43.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>99</td>\n",
              "      <td>46.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>100</td>\n",
              "      <td>42.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>101</td>\n",
              "      <td>44.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>102</td>\n",
              "      <td>43.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>103</td>\n",
              "      <td>44.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>104</td>\n",
              "      <td>45.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>105</td>\n",
              "      <td>47.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>106</td>\n",
              "      <td>45.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>107</td>\n",
              "      <td>46.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>108</td>\n",
              "      <td>43.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>109</td>\n",
              "      <td>44.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>110</td>\n",
              "      <td>42.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>111</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>112</td>\n",
              "      <td>42.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>113</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>114</td>\n",
              "      <td>42.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>115</td>\n",
              "      <td>45.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>116</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>117</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>118</td>\n",
              "      <td>43.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>119</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>120</td>\n",
              "      <td>44.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>121</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>122</td>\n",
              "      <td>45.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>123</td>\n",
              "      <td>42.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>124</td>\n",
              "      <td>43.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>125</td>\n",
              "      <td>45.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>126</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>127</td>\n",
              "      <td>42.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>128</td>\n",
              "      <td>43.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>129</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>130</td>\n",
              "      <td>43.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>131</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>132</td>\n",
              "      <td>42.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>133</td>\n",
              "      <td>42.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>134</td>\n",
              "      <td>44.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>135</td>\n",
              "      <td>44.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>136</td>\n",
              "      <td>42.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>137</td>\n",
              "      <td>42.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>138</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>139</td>\n",
              "      <td>40.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>140</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>141</td>\n",
              "      <td>42.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>142</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>143</td>\n",
              "      <td>41.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>144</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>145</td>\n",
              "      <td>42.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>146</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>147</td>\n",
              "      <td>40.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>148</td>\n",
              "      <td>41.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>149</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>150</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>151</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>152</td>\n",
              "      <td>42.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>153</td>\n",
              "      <td>42.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>154</td>\n",
              "      <td>42.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>155</td>\n",
              "      <td>43.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>156</td>\n",
              "      <td>42.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>157</td>\n",
              "      <td>44.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>158</td>\n",
              "      <td>41.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>159</td>\n",
              "      <td>41.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>160</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>161</td>\n",
              "      <td>42.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>162</td>\n",
              "      <td>41.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>163</td>\n",
              "      <td>44.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>164</td>\n",
              "      <td>41.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>165</td>\n",
              "      <td>41.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>166</td>\n",
              "      <td>42.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>167</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>168</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>169</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>170</td>\n",
              "      <td>42.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>171</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>172</td>\n",
              "      <td>39.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>173</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>174</td>\n",
              "      <td>41.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>175</td>\n",
              "      <td>42.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>176</td>\n",
              "      <td>41.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>177</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>178</td>\n",
              "      <td>40.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>179</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>180</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>181</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>182</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>183</td>\n",
              "      <td>40.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>184</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>185</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>186</td>\n",
              "      <td>40.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>187</td>\n",
              "      <td>40.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>188</td>\n",
              "      <td>40.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>189</td>\n",
              "      <td>41.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>190</td>\n",
              "      <td>38.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>191</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>192</td>\n",
              "      <td>43.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>193</td>\n",
              "      <td>41.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>194</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>195</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>196</td>\n",
              "      <td>41.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>197</td>\n",
              "      <td>41.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>198</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>199</td>\n",
              "      <td>41.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>200</td>\n",
              "      <td>41.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>201</td>\n",
              "      <td>42.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>202</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>203</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>204</td>\n",
              "      <td>42.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>205</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>206</td>\n",
              "      <td>43.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>207</td>\n",
              "      <td>41.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>208</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>209</td>\n",
              "      <td>41.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>210</td>\n",
              "      <td>40.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>211</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>212</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>213</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>214</td>\n",
              "      <td>41.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>215</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>216</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>217</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>218</td>\n",
              "      <td>43.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>219</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>220</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>221</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>222</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>223</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>224</td>\n",
              "      <td>39.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>225</td>\n",
              "      <td>39.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>226</td>\n",
              "      <td>42.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>227</td>\n",
              "      <td>40.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>228</td>\n",
              "      <td>40.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>229</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>230</td>\n",
              "      <td>41.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>231</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>232</td>\n",
              "      <td>39.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>233</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>234</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>235</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>236</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>237</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>238</td>\n",
              "      <td>37.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>239</td>\n",
              "      <td>39.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>240</td>\n",
              "      <td>40.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>241</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>242</td>\n",
              "      <td>39.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>243</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>244</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>245</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>246</td>\n",
              "      <td>38.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>247</td>\n",
              "      <td>41.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>248</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>249</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>250</td>\n",
              "      <td>38.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>251</td>\n",
              "      <td>40.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>252</td>\n",
              "      <td>39.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>253</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>254</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>255</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>256</td>\n",
              "      <td>39.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>257</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>258</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>259</td>\n",
              "      <td>41.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>260</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>261</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>262</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>263</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>264</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>265</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>266</td>\n",
              "      <td>39.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>267</td>\n",
              "      <td>40.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>268</td>\n",
              "      <td>37.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>269</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>270</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>271</td>\n",
              "      <td>37.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>272</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>273</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>274</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>275</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>276</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>277</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>278</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>279</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>280</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>281</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>282</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>283</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>284</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>285</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>286</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>287</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>288</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>289</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>290</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>291</td>\n",
              "      <td>37.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>292</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>293</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>294</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>295</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>296</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>297</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>298</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>299</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>300</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>301</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>302</td>\n",
              "      <td>41.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>303</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>304</td>\n",
              "      <td>38.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>305</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>306</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>307</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>308</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>309</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>310</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>311</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>312</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>313</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>314</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>315</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>316</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>317</td>\n",
              "      <td>37.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>318</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>319</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>320</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>321</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>322</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>323</td>\n",
              "      <td>38.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>324</td>\n",
              "      <td>39.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>325</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>326</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>327</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>328</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>329</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>330</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>331</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>332</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>333</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>334</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>335</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>336</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>337</td>\n",
              "      <td>39.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>338</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>339</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>340</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>341</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>342</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>343</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>344</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>345</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>346</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>347</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>348</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>349</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>350</td>\n",
              "      <td>37.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>351</td>\n",
              "      <td>39.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>352</td>\n",
              "      <td>37.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>353</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>354</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>355</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>356</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>357</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>358</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>359</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>360</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>361</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>362</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>363</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>364</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>365</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>366</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>367</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>368</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>369</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>370</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>371</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>372</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>373</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>374</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>375</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>376</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>377</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>378</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>379</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>380</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>381</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>382</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>383</td>\n",
              "      <td>38.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>384</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>385</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>386</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>387</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>388</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>389</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>390</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>391</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>392</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>393</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>394</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>395</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>396</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>397</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>398</td>\n",
              "      <td>36.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>399</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>400</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>401</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>402</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>403</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>404</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>405</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>406</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>407</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>408</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>409</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>410</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>411</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>412</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>413</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>414</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>415</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>416</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>417</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>418</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>419</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>420</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>421</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>422</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>423</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>424</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>425</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>426</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>427</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>428</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>429</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>430</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>431</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>432</td>\n",
              "      <td>37.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>433</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>434</td>\n",
              "      <td>37.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>435</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>436</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>437</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>438</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>439</td>\n",
              "      <td>38.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>440</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>441</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>442</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>443</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>444</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>445</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>446</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>447</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>448</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>449</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>450</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>451</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>452</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>453</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>454</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>455</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>456</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>457</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>458</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>459</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>460</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>461</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>462</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>463</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>464</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>465</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>466</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>467</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>468</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>469</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>470</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>471</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>472</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>473</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>474</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>475</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>476</td>\n",
              "      <td>36.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>477</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>478</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>479</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>480</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>481</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>482</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>483</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>484</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>485</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>486</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>487</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>488</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>489</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>490</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>491</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>492</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>493</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>494</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>495</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>496</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>497</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>498</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>499</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>500</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>501</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>502</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>503</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>504</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>505</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>506</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>507</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>508</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>509</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>510</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>511</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>512</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>513</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>514</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>515</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>516</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>517</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>518</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>519</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>520</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>521</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>522</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>523</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>524</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>525</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>526</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>527</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>528</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>529</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>530</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>531</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>532</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>533</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>534</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>535</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>536</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>537</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>538</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>539</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>540</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>541</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>542</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>543</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>544</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>545</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>546</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>547</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>548</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>549</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>550</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>551</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>552</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>553</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>554</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>555</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>556</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>557</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>558</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>559</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>560</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>561</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>562</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>563</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>564</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>565</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>566</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>567</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>568</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>569</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>570</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>571</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>572</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>573</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>574</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>575</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>576</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>577</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>578</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>579</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>580</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>581</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>582</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>583</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>584</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>585</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>586</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>587</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>588</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>589</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>590</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>591</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>592</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>593</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>594</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>595</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>596</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>597</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>598</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>599</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>600</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>601</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>602</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>603</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>604</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>605</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>606</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>607</td>\n",
              "      <td>35.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>608</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>609</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>610</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>611</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>612</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>613</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>614</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>615</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>616</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>617</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>618</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>619</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>620</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>621</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>622</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>623</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>624</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>625</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>626</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>627</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>628</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>629</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>630</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>631</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>632</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>633</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>634</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>635</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>636</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>637</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>638</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>639</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>640</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>641</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>642</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>643</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>644</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>645</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>646</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>647</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>648</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>649</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>650</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>651</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>652</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>653</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>654</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>655</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>656</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>657</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>658</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>659</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>660</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>661</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>662</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>663</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>664</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>665</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>666</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>667</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>668</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>669</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>670</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>671</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>672</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>673</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>674</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>675</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>676</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>677</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>678</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>679</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>680</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>681</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>682</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>683</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>684</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>685</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>686</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>687</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>688</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>689</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>690</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>691</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>692</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>693</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>694</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>695</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>696</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>697</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>698</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>699</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>700</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>701</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>702</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>703</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>704</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>705</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>706</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>707</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>708</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>709</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>710</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>711</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>712</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>713</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>714</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>715</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>716</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>717</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>718</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>719</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>720</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>721</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>722</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>723</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>724</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>725</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>726</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>727</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>728</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>729</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>730</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>731</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>732</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>733</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>734</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>735</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>736</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>737</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>738</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>739</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>740</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>741</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>742</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>743</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>744</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>745</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>746</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>747</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>748</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>749</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>750</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>751</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>752</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>753</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>754</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>755</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>756</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>757</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>758</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>759</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>760</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>761</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>762</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>763</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>764</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>765</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>766</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>767</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>768</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>769</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>770</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>771</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>772</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>773</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>774</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>775</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>776</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>777</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>778</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>779</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>780</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>781</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>782</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>783</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>784</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>785</td>\n",
              "      <td>35.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>786</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>787</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>788</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>789</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>790</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>791</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>792</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>793</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>794</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>795</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>796</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>797</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>798</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>799</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>800</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>801</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>802</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>803</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>804</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>805</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>806</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>807</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>808</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>809</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>810</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>811</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>812</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>813</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>814</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>815</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>816</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>817</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>818</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>819</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>820</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>821</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>822</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>823</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>824</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>825</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>826</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>827</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>828</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>829</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>830</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>831</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>832</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>833</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>834</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>835</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>836</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>837</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>838</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>839</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>840</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>841</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>842</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>843</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>844</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>845</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>846</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>847</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>848</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>849</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>850</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>851</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>852</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>853</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>854</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>855</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>856</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>857</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>858</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>859</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>860</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>861</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>862</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>863</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>864</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>865</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>866</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>867</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>868</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>869</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>870</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>871</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>872</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>873</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>874</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>875</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>876</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>877</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>878</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>879</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>880</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>881</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>882</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>883</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>884</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>885</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>886</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>887</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>888</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>889</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>890</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>891</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>892</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>893</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>894</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>895</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>896</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>897</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>898</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>899</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>900</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>901</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>902</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>903</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>904</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>905</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>906</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>907</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>908</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>909</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>910</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>911</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>912</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>913</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>914</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>915</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>916</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>917</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>918</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>919</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>920</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>921</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>922</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>923</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>924</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>925</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>926</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>927</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>928</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>929</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>930</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>931</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>932</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>933</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>934</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>935</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>936</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>937</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>938</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>939</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>940</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>941</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>942</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>943</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>944</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>945</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>946</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>947</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>948</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>949</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>950</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>951</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>952</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>953</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>954</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>955</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>956</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>957</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>958</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>959</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>960</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>961</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>962</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>963</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>964</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>965</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>966</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>967</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>968</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>969</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>970</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>971</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>972</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>973</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>974</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>975</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>976</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>977</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>978</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>979</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>980</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>981</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>982</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>983</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>984</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>985</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>986</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>987</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>988</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>989</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>990</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>991</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>992</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>993</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>994</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>995</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>996</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>997</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>998</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>999</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1000</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1001</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1002</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1003</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1004</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1005</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1006</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1007</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1008</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1009</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1010</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1011</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1012</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1013</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1014</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1015</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1016</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1017</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1018</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1019</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1020</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1021</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1022</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1023</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1024</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1025</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1026</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1027</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1028</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1029</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1030</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1031</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1032</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1033</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1034</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1035</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1036</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1037</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1038</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1039</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1040</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1041</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1042</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1043</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1044</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1045</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1046</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1047</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1048</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1049</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1050</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1051</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1052</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1053</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1054</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1055</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1056</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1057</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1058</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1059</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1060</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1061</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1062</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1063</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1064</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1065</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1066</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1067</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1068</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1069</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1070</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1071</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1072</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1073</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1074</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1075</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1076</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1077</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1078</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1079</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1080</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1081</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1082</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1083</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1084</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1085</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1086</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1087</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1088</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1089</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1090</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1091</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1092</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1093</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1094</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1095</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1096</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1097</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1098</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1099</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1100</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1101</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1102</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1103</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1104</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1105</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1106</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1107</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1108</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1109</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1110</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1111</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1112</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1113</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1114</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1115</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1116</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1117</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1118</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1119</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1120</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1121</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1122</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1123</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1124</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1125</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1126</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1127</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1128</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1129</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1130</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1131</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1132</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1133</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1134</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1135</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1136</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1137</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1138</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1139</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1140</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1141</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1142</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1143</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1144</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1145</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1146</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1147</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1148</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1149</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1150</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1151</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1152</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1153</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1154</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1155</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1156</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1157</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1158</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1159</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1160</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1161</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1162</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1163</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1164</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1165</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1166</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1167</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1168</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1169</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1170</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1171</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1172</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1173</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1174</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1175</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1176</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1177</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1178</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1179</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1180</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1181</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1182</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1183</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1184</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1185</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1186</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1187</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1188</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1189</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1190</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1191</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1192</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1193</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1194</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1195</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1196</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1197</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1198</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1199</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1200</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1201</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1202</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1203</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1204</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1205</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1206</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1207</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1208</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1209</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1210</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1211</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1212</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1213</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1214</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1215</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1216</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1217</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1218</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1219</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1220</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1221</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1222</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1223</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1224</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1225</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1226</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1227</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1228</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1229</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1230</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1231</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1232</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1233</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1234</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1235</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1236</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1237</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1238</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1239</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1240</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1241</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1242</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1243</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1244</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1245</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1246</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1247</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1248</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1249</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1250</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1251</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1252</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1253</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1254</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1255</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1256</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1257</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1258</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1259</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1260</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1261</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1262</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1263</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1264</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1265</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1266</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1267</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1268</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1269</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1270</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1271</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1272</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1273</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1274</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1275</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1276</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1277</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1278</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1279</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1280</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1281</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1282</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1283</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1284</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1285</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1286</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1287</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1288</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1289</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1290</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1291</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1292</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1293</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1294</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1295</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1296</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1297</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1298</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1299</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1300</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1301</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1302</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1303</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1304</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1305</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1306</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1307</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1308</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1309</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1310</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1311</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1312</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1313</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1314</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1315</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1316</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1317</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1318</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1319</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1320</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1321</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1322</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1323</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1324</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1325</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1326</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1327</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1328</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1329</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1330</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1331</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1332</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1333</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1334</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1335</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1336</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1337</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1338</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1339</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1340</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1341</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1342</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1343</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1344</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1345</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1346</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1347</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1348</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1349</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1350</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1351</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1352</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1353</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1354</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1355</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1356</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1357</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1358</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1359</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1360</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1361</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1362</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1363</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1364</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1365</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1366</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1367</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1368</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1369</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1370</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1371</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1372</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1373</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1374</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1375</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1376</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1377</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1378</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1379</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1380</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1381</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1382</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1383</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1384</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1385</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1386</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1387</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1388</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1389</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1390</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1391</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1392</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1393</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1394</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1395</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1396</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1397</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1398</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1399</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1400</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1401</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1402</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1403</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1404</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1405</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1406</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1407</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1408</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1409</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1410</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1411</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1412</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1413</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1414</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1415</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1416</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1417</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1418</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1419</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1420</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1421</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1422</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1423</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1424</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1425</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1426</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1427</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1428</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1429</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1430</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1431</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1432</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1433</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1434</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1435</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1436</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1437</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1438</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1439</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1440</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1441</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1442</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1443</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1444</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1445</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1446</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1447</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1448</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1449</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1450</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1451</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1452</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1453</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1454</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1455</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1456</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1457</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1458</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1459</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1460</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1461</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1462</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1463</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1464</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1465</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1466</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1467</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1468</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1469</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1470</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1471</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1472</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1473</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1474</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1475</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1476</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1477</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1478</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1479</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1480</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1481</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1482</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1483</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1484</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1485</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1486</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1487</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1488</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1489</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1490</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1491</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1492</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1493</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1494</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1495</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1496</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1497</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1498</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1499</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1500</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1501</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1502</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1503</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1504</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1505</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1506</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1507</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1508</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1509</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1510</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1511</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1512</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1513</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1514</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1515</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1516</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1517</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1518</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1519</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1520</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1521</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1522</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1523</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1524</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1525</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1526</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1527</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1528</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1529</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1530</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1531</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1532</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1533</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1534</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1535</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1536</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1537</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1538</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1539</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1540</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1541</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1542</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1543</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1544</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1545</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1546</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1547</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1548</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1549</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1550</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1551</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1552</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1553</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1554</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1555</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1556</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1557</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1558</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1559</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1560</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1561</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1562</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1563</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1564</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1565</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1566</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1567</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1568</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1569</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1570</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1571</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1572</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1573</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1574</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1575</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1576</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1577</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1578</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1579</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1580</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1581</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1582</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1583</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1584</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1585</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1586</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1587</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1588</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1589</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1590</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1591</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1592</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1593</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1594</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1595</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1596</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1597</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1598</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1599</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1600</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1601</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1602</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1603</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1604</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1605</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1606</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1607</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1608</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1609</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1610</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1611</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1612</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1613</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1614</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1615</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1616</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1617</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1618</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1619</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1620</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1621</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1622</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1623</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1624</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1625</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1626</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1627</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1628</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1629</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1630</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1631</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1632</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1633</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1634</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1635</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1636</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1637</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1638</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1639</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1640</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1641</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1642</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1643</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1644</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1645</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1646</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1647</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1648</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1649</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1650</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1651</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1652</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1653</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1654</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1655</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1656</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1657</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1658</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1659</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1660</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1661</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1662</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1663</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1664</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1665</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1666</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1667</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1668</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1669</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1670</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1671</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1672</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1673</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1674</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1675</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1676</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1677</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1678</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1679</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1680</td>\n",
              "      <td>37.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1681</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1682</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1683</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1684</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1685</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1686</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1687</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1688</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1689</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1690</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1691</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1692</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1693</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1694</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1695</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1696</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1697</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1698</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1699</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1700</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1701</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1702</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1703</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1704</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1705</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1706</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1707</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1708</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1709</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1710</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1711</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1712</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1713</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1714</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1715</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1716</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1717</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1718</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1719</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1720</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1721</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1722</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1723</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1724</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1725</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1726</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1727</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1728</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1729</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1730</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1731</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1732</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1733</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1734</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1735</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1736</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1737</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1738</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1739</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1740</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1741</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1742</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1743</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1744</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1745</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1746</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1747</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1748</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1749</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1750</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1751</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1752</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1753</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1754</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1755</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1756</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1757</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1758</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1759</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1760</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1761</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1762</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1763</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1764</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1765</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1766</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1767</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1768</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1769</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1770</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1771</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1772</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1773</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1774</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1775</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1776</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1777</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1778</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1779</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1780</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1781</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1782</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1783</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1784</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1785</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1786</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1787</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1788</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1789</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1790</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1791</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1792</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1793</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1794</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1795</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1796</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1797</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1798</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1799</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1800</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1801</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1802</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1803</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1804</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1805</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1806</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1807</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1808</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1809</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1810</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1811</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1812</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1813</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1814</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1815</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1816</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1817</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1818</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1819</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1820</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1821</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1822</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1823</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1824</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1825</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1826</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1827</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1828</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1829</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1830</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1831</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1832</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1833</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1834</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1835</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1836</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1837</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1838</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1839</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1840</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1841</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1842</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1843</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1844</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1845</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1846</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1847</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1848</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1849</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1850</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1851</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1852</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1853</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1854</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1855</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1856</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1857</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1858</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1859</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1860</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1861</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1862</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1863</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1864</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1865</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1866</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1867</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1868</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1869</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1870</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1871</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1872</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1873</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1874</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1875</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1876</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1877</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1878</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1879</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1880</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1881</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1882</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1883</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1884</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1885</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1886</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1887</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1888</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1889</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1890</td>\n",
              "      <td>29.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1891</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1892</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1893</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1894</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1895</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1896</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1897</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1898</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1899</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1900</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1901</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1902</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1903</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1904</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1905</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1906</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1907</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1908</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1909</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1910</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1911</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1912</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1913</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1914</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1915</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1916</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1917</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1918</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1919</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1920</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1921</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1922</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1923</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1924</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1925</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1926</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1927</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1928</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1929</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1930</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1931</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1932</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1933</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1934</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1935</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1936</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1937</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1938</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1939</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1940</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1941</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1942</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1943</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1944</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1945</td>\n",
              "      <td>29.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1946</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1947</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1948</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1949</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1950</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1951</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1952</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1953</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1954</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1955</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1956</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1957</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1958</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1959</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1960</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1961</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1962</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1963</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1964</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1965</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1966</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1967</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1968</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1969</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1970</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1971</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1972</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1973</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1974</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1975</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1976</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1977</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1978</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1979</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1980</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1981</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1982</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1983</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1984</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1985</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1986</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1987</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1988</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1989</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1990</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1991</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1992</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1993</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1994</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1995</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1996</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1997</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1998</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1999</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2000</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2001</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2002</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2003</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2004</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2005</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2006</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2007</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2008</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2009</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2010</td>\n",
              "      <td>29.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2011</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2012</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2013</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2014</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2015</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2016</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2017</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2018</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2019</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2020</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2021</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2022</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2023</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2024</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2025</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2026</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2027</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2028</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2029</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2030</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2031</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2032</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2033</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2034</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2035</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2036</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2037</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2038</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2039</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2040</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2041</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2042</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2043</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2044</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2045</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2046</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2047</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2048</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2049</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2050</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2051</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2052</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2053</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2054</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2055</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2056</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2057</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2058</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2059</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2060</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2061</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2062</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2063</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2064</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2065</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2066</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2067</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2068</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2069</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2070</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2071</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2072</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2073</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2074</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2075</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2076</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2077</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2078</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2079</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2080</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2081</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2082</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2083</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2084</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2085</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2086</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2087</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2088</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2089</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2090</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2091</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2092</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2093</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2094</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2095</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2096</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2097</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2098</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2099</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2100</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2101</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2102</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2103</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2104</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2105</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2106</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2107</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2108</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2109</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2110</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2111</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2112</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2113</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2114</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2115</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2116</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2117</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2118</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2119</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2120</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2121</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2122</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2123</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2124</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2125</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2126</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2127</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2128</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2129</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2130</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2131</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2132</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2133</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2134</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2135</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2136</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2137</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2138</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2139</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2140</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2141</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2142</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2143</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2144</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2145</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2146</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2147</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2148</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2149</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2150</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2151</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2152</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2153</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2154</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2155</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2156</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2157</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2158</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2159</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2160</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2161</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2162</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2163</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2164</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2165</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2166</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2167</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2168</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2169</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2170</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2171</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2172</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2173</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2174</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2175</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2176</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2177</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2178</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2179</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2180</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2181</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2182</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2183</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2184</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2185</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2186</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2187</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2188</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2189</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2190</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2191</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2192</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2193</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2194</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2195</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2196</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2197</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2198</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2199</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2200</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2201</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2202</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2203</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2204</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2205</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2206</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2207</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2208</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2209</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2210</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2211</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2212</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2213</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2214</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2215</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2216</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2217</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2218</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2219</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2220</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2221</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2222</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2223</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2224</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2225</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2226</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2227</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2228</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2229</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2230</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2231</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2232</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2233</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2234</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2235</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2236</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2237</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2238</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2239</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2240</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2241</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2242</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2243</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2244</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2245</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2246</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2247</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2248</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2249</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2250</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2251</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2252</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2253</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2254</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2255</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2256</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2257</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2258</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2259</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2260</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2261</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2262</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2263</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2264</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2265</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2266</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2267</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2268</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2269</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2270</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2271</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2272</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2273</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2274</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2275</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2276</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2277</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2278</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2279</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2280</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2281</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2282</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2283</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2284</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2285</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2286</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2287</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2288</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2289</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2290</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2291</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2292</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2293</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2294</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2295</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2296</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2297</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2298</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2299</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2300</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2301</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2302</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2303</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2304</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2305</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2306</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2307</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2308</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2309</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2310</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2311</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2312</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2313</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2314</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2315</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2316</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2317</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2318</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2319</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2320</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2321</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2322</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2323</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2324</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2325</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2326</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2327</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2328</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2329</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2330</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2331</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2332</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2333</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2334</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2335</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2336</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2337</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2338</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2339</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2340</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2341</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2342</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2343</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2344</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2345</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2346</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2347</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2348</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2349</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2350</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2351</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2352</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2353</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2354</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2355</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2356</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2357</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2358</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2359</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2360</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2361</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2362</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2363</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2364</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2365</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2366</td>\n",
              "      <td>29.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2367</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2368</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2369</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2370</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2371</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2372</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2373</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2374</td>\n",
              "      <td>28.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2375</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2376</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2377</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2378</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2379</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2380</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2381</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2382</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2383</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2384</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2385</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2386</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2387</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2388</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2389</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2390</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2391</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2392</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2393</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2394</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2395</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2396</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2397</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2398</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2399</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2400</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2401</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2402</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2403</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2404</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2405</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2406</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2407</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2408</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2409</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2410</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2411</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2412</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2413</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2414</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2415</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2416</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2417</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2418</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2419</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2420</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2421</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2422</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2423</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2424</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2425</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2426</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2427</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2428</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2429</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2430</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2431</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2432</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2433</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2434</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2435</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2436</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2437</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2438</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2439</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2440</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2441</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2442</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2443</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2444</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2445</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2446</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2447</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2448</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2449</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2450</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2451</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2452</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2453</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2454</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2455</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2456</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2457</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2458</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2459</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2460</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2461</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2462</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2463</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2464</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2465</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2466</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2467</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2468</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2469</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2470</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2471</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2472</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2473</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2474</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2475</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2476</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2477</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2478</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2479</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2480</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2481</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2482</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2483</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2484</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2485</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2486</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2487</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2488</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2489</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2490</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2491</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2492</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2493</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2494</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2495</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2496</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2497</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2498</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2499</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2500</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2501</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2502</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2503</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2504</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2505</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2506</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2507</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2508</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2509</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2510</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2511</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2512</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2513</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2514</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2515</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2516</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2517</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2518</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2519</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2520</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2521</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2522</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2523</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2524</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2525</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2526</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2527</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2528</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2529</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2530</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2531</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2532</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2533</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2534</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2535</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2536</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2537</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2538</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2539</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2540</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2541</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2542</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2543</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2544</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2545</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2546</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2547</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2548</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2549</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2550</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2551</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2552</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2553</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2554</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2555</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2556</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2557</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2558</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2559</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2560</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2561</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2562</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2563</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2564</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2565</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2566</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2567</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2568</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2569</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2570</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2571</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2572</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2573</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2574</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2575</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2576</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2577</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2578</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2579</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2580</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2581</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2582</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2583</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2584</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2585</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2586</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2587</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2588</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2589</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2590</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2591</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2592</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2593</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2594</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2595</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2596</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2597</td>\n",
              "      <td>29.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2598</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2599</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2600</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2601</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2602</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2603</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2604</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2605</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2606</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2607</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2608</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2609</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2610</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2611</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2612</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2613</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2614</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2615</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2616</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2617</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2618</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2619</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2620</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2621</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2622</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2623</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2624</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2625</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2626</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2627</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2628</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2629</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2630</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2631</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2632</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2633</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2634</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2635</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2636</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2637</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2638</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2639</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2640</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2641</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2642</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2643</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2644</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2645</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2646</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2647</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2648</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2649</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2650</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2651</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2652</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2653</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2654</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2655</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2656</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2657</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2658</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2659</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2660</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2661</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2662</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2663</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2664</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2665</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2666</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2667</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2668</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2669</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2670</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2671</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2672</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2673</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2674</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2675</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2676</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2677</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2678</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2679</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2680</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2681</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2682</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2683</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2684</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2685</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2686</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2687</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2688</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2689</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2690</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2691</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2692</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2693</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2694</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2695</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2696</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2697</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2698</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2699</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2700</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2701</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2702</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2703</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2704</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2705</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2706</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2707</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2708</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2709</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2710</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2711</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2712</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2713</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2714</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2715</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2716</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2717</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2718</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2719</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2720</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2721</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2722</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2723</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2724</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2725</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2726</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2727</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2728</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2729</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2730</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2731</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2732</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2733</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2734</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2735</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2736</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2737</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2738</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2739</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2740</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2741</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2742</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2743</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2744</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2745</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2746</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2747</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2748</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2749</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2750</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2751</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2752</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2753</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2754</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2755</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2756</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2757</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2758</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2759</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2760</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2761</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2762</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2763</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2764</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2765</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2766</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2767</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2768</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2769</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2770</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2771</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2772</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2773</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2774</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2775</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2776</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2777</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2778</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2779</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2780</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2781</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2782</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2783</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2784</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2785</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2786</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2787</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2788</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2789</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2790</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2791</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2792</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2793</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2794</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2795</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2796</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2797</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2798</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2799</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2800</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2801</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2802</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2803</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2804</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2805</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2806</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2807</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2808</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2809</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2810</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2811</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2812</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2813</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2814</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2815</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2816</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2817</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2818</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2819</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2820</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2821</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2822</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2823</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2824</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2825</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2826</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2827</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2828</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2829</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2830</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2831</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2832</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2833</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2834</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2835</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2836</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2837</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2838</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2839</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2840</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2841</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2842</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2843</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2844</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2845</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2846</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2847</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2848</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2849</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2850</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2851</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2852</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2853</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2854</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2855</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2856</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2857</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2858</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2859</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2860</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2861</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2862</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2863</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2864</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2865</td>\n",
              "      <td>29.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2866</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2867</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2868</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2869</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2870</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2871</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2872</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2873</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2874</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2875</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2876</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2877</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2878</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2879</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2880</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2881</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2882</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2883</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2884</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2885</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2886</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2887</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2888</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2889</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2890</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2891</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2892</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2893</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2894</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2895</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2896</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2897</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2898</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2899</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2900</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2901</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2902</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2903</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2904</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2905</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2906</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2907</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2908</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2909</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2910</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2911</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2912</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2913</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2914</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2915</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2916</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2917</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2918</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2919</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2920</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2921</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2922</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2923</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2924</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2925</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2926</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2927</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2928</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2929</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2930</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2931</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2932</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2933</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2934</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2935</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2936</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2937</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2938</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2939</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2940</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2941</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2942</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2943</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2944</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2945</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2946</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2947</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2948</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2949</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2950</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2951</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2952</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2953</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2954</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2955</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2956</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2957</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2958</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2959</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2960</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2961</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2962</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2963</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2964</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2965</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2966</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2967</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2968</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2969</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2970</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2971</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2972</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2973</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2974</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2975</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2976</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2977</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2978</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2979</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2980</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2981</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2982</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2983</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2984</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2985</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2986</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2987</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2988</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2989</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2990</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2991</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2992</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2993</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2994</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2995</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2996</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2997</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2998</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2999</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3000</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3001</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3002</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3003</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3004</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3005</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3006</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3007</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3008</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3009</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3010</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3011</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3012</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3013</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3014</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3015</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3016</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3017</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3018</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3019</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3020</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3021</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3022</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3023</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3024</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3025</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3026</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3027</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3028</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3029</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3030</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3031</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3032</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3033</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3034</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3035</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3036</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3037</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3038</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3039</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3040</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3041</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3042</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3043</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3044</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3045</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3046</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3047</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3048</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3049</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3050</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3051</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3052</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3053</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3054</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3055</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3056</td>\n",
              "      <td>29.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3057</td>\n",
              "      <td>34.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3058</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3059</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3060</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3061</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3062</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3063</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3064</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3065</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3066</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3067</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3068</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3069</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3070</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3071</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3072</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3073</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3074</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3075</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3076</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3077</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3078</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3079</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3080</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3081</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3082</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3083</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3084</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3085</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3086</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3087</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3088</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3089</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3090</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3091</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3092</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3093</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3094</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3095</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3096</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3097</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3098</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3099</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3100</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3101</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3102</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3103</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3104</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3105</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3106</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3107</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3108</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3109</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3110</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3111</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3112</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3113</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3114</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3115</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3116</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3117</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3118</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3119</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3120</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3121</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3122</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3123</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3124</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3125</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3126</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3127</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3128</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3129</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3130</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3131</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3132</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3133</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3134</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3135</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3136</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3137</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3138</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3139</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3140</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3141</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3142</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3143</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3144</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3145</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3146</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3147</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3148</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3149</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3150</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3151</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3152</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3153</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3154</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3155</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3156</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3157</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3158</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3159</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3160</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3161</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3162</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3163</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3164</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3165</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3166</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3167</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3168</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3169</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3170</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3171</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3172</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3173</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3174</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3175</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3176</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3177</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3178</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3179</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3180</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3181</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3182</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3183</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3184</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3185</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3186</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3187</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3188</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3189</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3190</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3191</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3192</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3193</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3194</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3195</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3196</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3197</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3198</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3199</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3200</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3201</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3202</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3203</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3204</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3205</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3206</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3207</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3208</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3209</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3210</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3211</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3212</td>\n",
              "      <td>36.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3213</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3214</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3215</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3216</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3217</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3218</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3219</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3220</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3221</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3222</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3223</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3224</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3225</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3226</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3227</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3228</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3229</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3230</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3231</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3232</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3233</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3234</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3235</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3236</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3237</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3238</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3239</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3240</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3241</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3242</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3243</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3244</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3245</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3246</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3247</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3248</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3249</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3250</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3251</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3252</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3253</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3254</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3255</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3256</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3257</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3258</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3259</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3260</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3261</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3262</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3263</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3264</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3265</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3266</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3267</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3268</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3269</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3270</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3271</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3272</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3273</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3274</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3275</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3276</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3277</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3278</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3279</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3280</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3281</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3282</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3283</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3284</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3285</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3286</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3287</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3288</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3289</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3290</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3291</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3292</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3293</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3294</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3295</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3296</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3297</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3298</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3299</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3300</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3301</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3302</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3303</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3304</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3305</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3306</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3307</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3308</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3309</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3310</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3311</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3312</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3313</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3314</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3315</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3316</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3317</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3318</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3319</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3320</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3321</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3322</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3323</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3324</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3325</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3326</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3327</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3328</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3329</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3330</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3331</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3332</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3333</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3334</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3335</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3336</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3337</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3338</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3339</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3340</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3341</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3342</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3343</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3344</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3345</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3346</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3347</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3348</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3349</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3350</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3351</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3352</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3353</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3354</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3355</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3356</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3357</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3358</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3359</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3360</td>\n",
              "      <td>29.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3361</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3362</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3363</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3364</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3365</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3366</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3367</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3368</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3369</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3370</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3371</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3372</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3373</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3374</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3375</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3376</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3377</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3378</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3379</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3380</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3381</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3382</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3383</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3384</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3385</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3386</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3387</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3388</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3389</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3390</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3391</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3392</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3393</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3394</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3395</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3396</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3397</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3398</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3399</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3400</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3401</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3402</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3403</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3404</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3405</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3406</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3407</td>\n",
              "      <td>29.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3408</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3409</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3410</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3411</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3412</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3413</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3414</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3415</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3416</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3417</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3418</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3419</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3420</td>\n",
              "      <td>33.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3421</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3422</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3423</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3424</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3425</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3426</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3427</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3428</td>\n",
              "      <td>33.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3429</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3430</td>\n",
              "      <td>34.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3431</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3432</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3433</td>\n",
              "      <td>31.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3434</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3435</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3436</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3437</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3438</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3439</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3440</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3441</td>\n",
              "      <td>29.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3442</td>\n",
              "      <td>30.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3443</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3444</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3445</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3446</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3447</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3448</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3449</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3450</td>\n",
              "      <td>33.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3451</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3452</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3453</td>\n",
              "      <td>31.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3454</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3455</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3456</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3457</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3458</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3459</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3460</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3461</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3462</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3463</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3464</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3465</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3466</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3467</td>\n",
              "      <td>30.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3468</td>\n",
              "      <td>33.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3469</td>\n",
              "      <td>36.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3470</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3471</td>\n",
              "      <td>30.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3472</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3473</td>\n",
              "      <td>31.875000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3474</td>\n",
              "      <td>31.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3475</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3476</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3477</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3478</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3479</td>\n",
              "      <td>32.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3480</td>\n",
              "      <td>30.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3481</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3482</td>\n",
              "      <td>30.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3483</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3484</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3485</td>\n",
              "      <td>31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3486</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3487</td>\n",
              "      <td>31.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3488</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3489</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3490</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3491</td>\n",
              "      <td>32.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3492</td>\n",
              "      <td>30.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3493</td>\n",
              "      <td>31.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3494</td>\n",
              "      <td>34.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3495</td>\n",
              "      <td>32.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3496</td>\n",
              "      <td>32.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3497</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3498</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3499</td>\n",
              "      <td>30.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3500</td>\n",
              "      <td>34.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><p>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "op = trainer.train()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "op"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sgm4S7FfgPsV",
        "outputId": "c8281d6e-9272-46b6-e49f-1577c7a6d231"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TrainOutput(global_step=3500, training_loss=32.90078571428572, metrics={'train_runtime': 8012.6728, 'train_samples_per_second': 2.596, 'train_steps_per_second': 0.437, 'total_flos': 1.42429529309184e+16, 'train_loss': 32.90078571428572, 'epoch': 100.0})"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eQyeW7WXPAt1"
      },
      "source": [
        "ALternatively, we can download a checkpoint of the fully fine-tuned model from my gdrive or from my huggingface which I had previously trained on AWS SageMaker"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# # Load model directly\n",
        "# from transformers import AutoTokenizer, AutoModelForSeq2SeqLM\n",
        "\n",
        "# tokenizer = AutoTokenizer.from_pretrained(\"CyberPun/flan-summary-fft\")\n",
        "# model = AutoModelForSeq2SeqLM.from_pretrained(\"CyberPun/flan-summary-fft\")"
      ],
      "metadata": {
        "id": "7lPuC3_cRMMX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "fQ95DwNjPAt2",
        "outputId": "d62d3279-a2be-433b-d954-5a69227e8be3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Retrieving folder contents\n",
            "Processing file 1_qCS24z62v19iborAMkbtQPy6uHitr9b config.json\n",
            "Processing file 1FqqeFgZzJJ9Md4ZITgUP6Qs5F9TFs1y_ generation_config.json\n",
            "Processing file 1-gD1rHef8BGjH780Hlj2lsjmi4O0iTNC optimizer.pt\n",
            "Processing file 1diYWVq-Y9nW2dWTg3o49hYRDr9-A9YtB pytorch_model.bin\n",
            "Processing file 1eahqvq77Kam_2y9VTrJyfYIS3TrnErX7 rng_state.pth\n",
            "Processing file 1oToblQtVdKLPzJA6KwszbzgRIvtKqaj- scheduler.pt\n",
            "Processing file 1dj9vtNvXL7p2DUa0mqmpB5jM4knjgH4n trainer_state.json\n",
            "Processing file 1kQXsuAob_SiBYQnZgtngShDUeNG7KlDq training_args.bin\n",
            "Retrieving folder contents completed\n",
            "Building directory structure\n",
            "Building directory structure completed\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1_qCS24z62v19iborAMkbtQPy6uHitr9b\n",
            "To: /content/flan-dialogue-summary-checkpoint/config.json\n",
            "100% 1.53k/1.53k [00:00<00:00, 7.14MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1FqqeFgZzJJ9Md4ZITgUP6Qs5F9TFs1y_\n",
            "To: /content/flan-dialogue-summary-checkpoint/generation_config.json\n",
            "100% 142/142 [00:00<00:00, 798kB/s]\n",
            "Downloading...\n",
            "From (original): https://drive.google.com/uc?id=1-gD1rHef8BGjH780Hlj2lsjmi4O0iTNC\n",
            "From (redirected): https://drive.google.com/uc?id=1-gD1rHef8BGjH780Hlj2lsjmi4O0iTNC&confirm=t&uuid=bddefb62-fa7a-4b16-ad2c-d848a3ce38ab\n",
            "To: /content/flan-dialogue-summary-checkpoint/optimizer.pt\n",
            "100% 1.98G/1.98G [00:41<00:00, 48.3MB/s]\n",
            "Downloading...\n",
            "From (original): https://drive.google.com/uc?id=1diYWVq-Y9nW2dWTg3o49hYRDr9-A9YtB\n",
            "From (redirected): https://drive.google.com/uc?id=1diYWVq-Y9nW2dWTg3o49hYRDr9-A9YtB&confirm=t&uuid=094d9d53-4054-47ec-bb43-5e0d781c06aa\n",
            "To: /content/flan-dialogue-summary-checkpoint/pytorch_model.bin\n",
            "100% 990M/990M [00:22<00:00, 44.4MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1eahqvq77Kam_2y9VTrJyfYIS3TrnErX7\n",
            "To: /content/flan-dialogue-summary-checkpoint/rng_state.pth\n",
            "100% 14.6k/14.6k [00:00<00:00, 44.8MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1oToblQtVdKLPzJA6KwszbzgRIvtKqaj-\n",
            "To: /content/flan-dialogue-summary-checkpoint/scheduler.pt\n",
            "100% 627/627 [00:00<00:00, 2.92MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1dj9vtNvXL7p2DUa0mqmpB5jM4knjgH4n\n",
            "To: /content/flan-dialogue-summary-checkpoint/trainer_state.json\n",
            "100% 9.90k/9.90k [00:00<00:00, 31.3MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1kQXsuAob_SiBYQnZgtngShDUeNG7KlDq\n",
            "To: /content/flan-dialogue-summary-checkpoint/training_args.bin\n",
            "100% 3.64k/3.64k [00:00<00:00, 16.9MB/s]\n",
            "Download completed\n"
          ]
        }
      ],
      "source": [
        "!gdown --folder 11wEBTprgRylL-FMFECujbABXl2BF-bar"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "XFwNPnFCPAt2"
      },
      "source": [
        "The size of the downloaded instruct model is approximately 1GB."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "aS8dVnZXPAt2",
        "outputId": "65e5bf0a-e413-4a30-846d-52a729eb8438",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "-rw-r--r-- 1 root root 945M May 17 15:41 ./flan-dialogue-summary-checkpoint/pytorch_model.bin\n"
          ]
        }
      ],
      "source": [
        "!ls -alh ./flan-dialogue-summary-checkpoint/pytorch_model.bin"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "TjpbpgKGPAt3"
      },
      "source": [
        "Create an instance of the `AutoModelForSeq2SeqLM` class for the instruct model:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "t1DLgikdPAuA"
      },
      "outputs": [],
      "source": [
        "instruct_model = AutoModelForSeq2SeqLM.from_pretrained(\"./flan-dialogue-summary-checkpoint\", torch_dtype=torch.bfloat16)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_9zSMmzQPAuA"
      },
      "source": [
        "### 2.3 - Evaluate the Model Qualitatively (Human Evaluation)\n",
        "\n",
        "As with many GenAI applications, a qualitative approach where we ask ourself the question \"Is my model behaving the way it is supposed to?\" is usually a good starting point. In the example below we can see how the fine-tuned model is able to create a reasonable summary of the dialogue compared to the original inability to understand what is being asked of the model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "DOwEk0KMPAuA",
        "outputId": "d1d2fd74-1904-4d72-9e1a-b91f9ca584dd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "---------------------------------------------------------------------------------------------------\n",
            "BASELINE HUMAN SUMMARY:\n",
            "#Person1# teaches #Person2# how to upgrade software and hardware in #Person2#'s system.\n",
            "---------------------------------------------------------------------------------------------------\n",
            "ORIGINAL MODEL:\n",
            "#Person1#: I'm thinking of upgrading my computer.\n",
            "---------------------------------------------------------------------------------------------------\n",
            "INSTRUCT MODEL:\n",
            "#Person1# suggests #Person2# upgrading #Person2#'s system, hardware, and CD-ROM drive. #Person2# thinks it's great.\n"
          ]
        }
      ],
      "source": [
        "index = 200\n",
        "dialogue = dataset['test'][index]['dialogue']\n",
        "human_baseline_summary = dataset['test'][index]['summary']\n",
        "\n",
        "prompt = f\"\"\"\n",
        "Summarize the following conversation.\n",
        "\n",
        "{dialogue}\n",
        "\n",
        "Summary:\n",
        "\"\"\"\n",
        "\n",
        "input_ids = tokenizer(prompt, return_tensors=\"pt\").input_ids\n",
        "\n",
        "original_model_outputs = original_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200, num_beams=1))\n",
        "original_model_text_output = tokenizer.decode(original_model_outputs[0], skip_special_tokens=True)\n",
        "\n",
        "instruct_model_outputs = instruct_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200, num_beams=1))\n",
        "instruct_model_text_output = tokenizer.decode(instruct_model_outputs[0], skip_special_tokens=True)\n",
        "\n",
        "print(dash_line)\n",
        "print(f'BASELINE HUMAN SUMMARY:\\n{human_baseline_summary}')\n",
        "print(dash_line)\n",
        "print(f'ORIGINAL MODEL:\\n{original_model_text_output}')\n",
        "print(dash_line)\n",
        "print(f'INSTRUCT MODEL:\\n{instruct_model_text_output}')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HVafd70zPAuB"
      },
      "source": [
        "### 2.4 - Evaluate the Model Quantitatively (with ROUGE Metric)\n",
        "\n",
        "The [ROUGE metric](https://en.wikipedia.org/wiki/ROUGE_(metric)) helps quantify the validity of summarizations produced by models. It compares summarizations to a \"baseline\" summary which is usually created by a human. While not perfect, it does indicate the overall increase in summarization effectiveness that we have accomplished by fine-tuning."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "colab": {
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        },
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        "outputId": "7bdca0fb-d18e-44a2-a6cb-90ac6b865426"
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      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading builder script:   0%|          | 0.00/6.27k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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      "source": [
        "rouge = evaluate.load('rouge')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N9j9MGjWPAuC"
      },
      "source": [
        "Generate the outputs for the sample of the test dataset (only 10 dialogues and summaries to save time), and save the results."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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        "colab": {
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          "height": 363
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          "data": {
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              "                            human_baseline_summaries  \\\n",
              "0  Ms. Dawson helps #Person1# to write a memo to ...   \n",
              "1  In order to prevent employees from wasting tim...   \n",
              "2  Ms. Dawson takes a dictation for #Person1# abo...   \n",
              "3  #Person2# arrives late because of traffic jam....   \n",
              "4  #Person2# decides to follow #Person1#'s sugges...   \n",
              "5  #Person2# complains to #Person1# about the tra...   \n",
              "6  #Person1# tells Kate that Masha and Hero get d...   \n",
              "7  #Person1# tells Kate that Masha and Hero are g...   \n",
              "8  #Person1# and Kate talk about the divorce betw...   \n",
              "9  #Person1# and Brian are at the birthday party ...   \n",
              "\n",
              "                            original_model_summaries  \\\n",
              "0     #Person1#: I need to take a dictation for you.   \n",
              "1     #Person1#: I need to take a dictation for you.   \n",
              "2     #Person1#: I need to take a dictation for you.   \n",
              "3  The traffic jam at the Carrefour intersection ...   \n",
              "4  The traffic jam at the Carrefour intersection ...   \n",
              "5  The traffic jam at the Carrefour intersection ...   \n",
              "6               Masha and Hero are getting divorced.   \n",
              "7               Masha and Hero are getting divorced.   \n",
              "8               Masha and Hero are getting divorced.   \n",
              "9  #Person1#: Happy birthday, Brian. #Person2#: I...   \n",
              "\n",
              "                            instruct_model_summaries  \n",
              "0  #Person1# asks Ms. Dawson to take a dictation ...  \n",
              "1  #Person1# asks Ms. Dawson to take a dictation ...  \n",
              "2  #Person1# asks Ms. Dawson to take a dictation ...  \n",
              "3  #Person2# got stuck in traffic again. #Person1...  \n",
              "4  #Person2# got stuck in traffic again. #Person1...  \n",
              "5  #Person2# got stuck in traffic again. #Person1...  \n",
              "6  Masha and Hero are getting divorced. Kate can'...  \n",
              "7  Masha and Hero are getting divorced. Kate can'...  \n",
              "8  Masha and Hero are getting divorced. Kate can'...  \n",
              "9  Brian's birthday is coming. #Person1# invites ...  "
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              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_c5fd1634-b20c-47dc-91e8-296e052279f9 button.colab-df-generate');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
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              "\n",
              "    </div>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"human_baseline_summaries\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"#Person1# and Kate talk about the divorce between Masha and Hero. Kate feels surprised because she thought they are well matched\",\n          \"In order to prevent employees from wasting time on Instant Message programs, #Person1# decides to terminate the use of those programs and asks Ms. Dawson to send out a memo to all employees by the afternoon.\",\n          \"#Person2# complains to #Person1# about the traffic jam, #Person1# suggests quitting driving and taking public transportation instead.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_model_summaries\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"The traffic jam at the Carrefour intersection is a problem.\",\n          \"#Person1#: Happy birthday, Brian. #Person2#: I'm so happy you're having a good time. #Person1#: Thank you, I'm sure you look great today. #Person2#: Thank you, I'm sure you look great. #Person1#: Thank you, I'm sure you look great today. #Person2#: Thank you, I'm sure you look great today. #Person1#: Thank you, I'm sure you look great today. #Person2#: Thank you, I'm sure you look great today. #Person1#: Thank you, I'm sure you look great today.\",\n          \"#Person1#: I need to take a dictation for you.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"instruct_model_summaries\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"#Person2# got stuck in traffic again. #Person1# suggests #Person2# start taking public transport system to work and suggests #Person2# start biking to work when it's nicer outside. #Person2# agrees.\",\n          \"Brian's birthday is coming. #Person1# invites Brian to have a dance and Brian compliments #Person1#'s looks. Brian thinks #Person1# looks great and invites #Person1# to have a drink together.\",\n          \"#Person1# asks Ms. Dawson to take a dictation to all employees by this afternoon. Ms. Dawson tells #Person1# all office communications are restricted to email correspondence and official memos and the use of Instant Message programs by employees during working hours is strictly prohibited. #Person1# wants to change the communication methods and Ms. Dawson tells #Person1# it applies to internal and external communications.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 38
        }
      ],
      "source": [
        "dialogues = dataset['test'][0:10]['dialogue']\n",
        "human_baseline_summaries = dataset['test'][0:10]['summary']\n",
        "\n",
        "original_model_summaries = []\n",
        "instruct_model_summaries = []\n",
        "\n",
        "for _, dialogue in enumerate(dialogues):\n",
        "    prompt = f\"\"\"\n",
        "Summarize the following conversation.\n",
        "\n",
        "{dialogue}\n",
        "\n",
        "Summary: \"\"\"\n",
        "    input_ids = tokenizer(prompt, return_tensors=\"pt\").input_ids\n",
        "\n",
        "    original_model_outputs = original_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200))\n",
        "    original_model_text_output = tokenizer.decode(original_model_outputs[0], skip_special_tokens=True)\n",
        "    original_model_summaries.append(original_model_text_output)\n",
        "\n",
        "    instruct_model_outputs = instruct_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200))\n",
        "    instruct_model_text_output = tokenizer.decode(instruct_model_outputs[0], skip_special_tokens=True)\n",
        "    instruct_model_summaries.append(instruct_model_text_output)\n",
        "\n",
        "zipped_summaries = list(zip(human_baseline_summaries, original_model_summaries, instruct_model_summaries))\n",
        "\n",
        "df = pd.DataFrame(zipped_summaries, columns = ['human_baseline_summaries', 'original_model_summaries', 'instruct_model_summaries'])\n",
        "df"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "VsnqbGfcPAuD"
      },
      "source": [
        "Evaluate the models computing ROUGE metrics. Notice the improvement in the results!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "xRgXOxEPPAuD",
        "outputId": "7fc45d84-e782-4383-cc21-2aa5951a3346",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ORIGINAL MODEL:\n",
            "{'rouge1': 0.24089921652421653, 'rouge2': 0.11769053708439897, 'rougeL': 0.22001958689458687, 'rougeLsum': 0.22134175465057818}\n",
            "INSTRUCT MODEL:\n",
            "{'rouge1': 0.41026607717457186, 'rouge2': 0.17840645241958838, 'rougeL': 0.2977022096267017, 'rougeLsum': 0.2987374187518165}\n"
          ]
        }
      ],
      "source": [
        "original_model_results = rouge.compute(\n",
        "    predictions=original_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(original_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "instruct_model_results = rouge.compute(\n",
        "    predictions=instruct_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(instruct_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "print('ORIGINAL MODEL:')\n",
        "print(original_model_results)\n",
        "print('INSTRUCT MODEL:')\n",
        "print(instruct_model_results)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sL-akZogPAuE"
      },
      "source": [
        "The file `dialogue-summary-training-results.csv` contains a pre-populated list of all model results which we can use to evaluate on a larger section of data. Let's do that for each of the models:"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# download the csv file from my github repo\n",
        "\n",
        "!wget https://github.com/Taha0229/finetuning_LLM/blob/main/dialogue-summary-training-results.csv\n"
      ],
      "metadata": {
        "id": "40sRpfLYdvWo",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ec687dc1-e484-49a3-bf97-0775cfff93cc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-05-22 10:45:41--  https://github.com/Taha0229/finetuning_LLM/blob/main/dialogue-summary-training-results.csv\n",
            "Resolving github.com (github.com)... 140.82.121.4\n",
            "Connecting to github.com (github.com)|140.82.121.4|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: unspecified [text/html]\n",
            "Saving to: ‘dialogue-summary-training-results.csv’\n",
            "\n",
            "dialogue-summary-tr     [ <=>                ]   2.01M  --.-KB/s    in 0.06s   \n",
            "\n",
            "2024-05-22 10:45:42 (35.0 MB/s) - ‘dialogue-summary-training-results.csv’ saved [2106621]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "XY0wS3hcPAuE"
      },
      "outputs": [],
      "source": [
        "results = pd.read_csv(\"dialogue-summary-training-results.csv\")\n",
        "\n",
        "human_baseline_summaries = results['human_baseline_summaries'].values\n",
        "original_model_summaries = results['original_model_summaries'].values\n",
        "instruct_model_summaries = results['instruct_model_summaries'].values\n",
        "\n",
        "original_model_results = rouge.compute(\n",
        "    predictions=original_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(original_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "instruct_model_results = rouge.compute(\n",
        "    predictions=instruct_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(instruct_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "print('ORIGINAL MODEL:')\n",
        "print(original_model_results)\n",
        "print('INSTRUCT MODEL:')\n",
        "print(instruct_model_results)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "yMTEouIrPAuE"
      },
      "source": [
        "The results show substantial improvement in all ROUGE metrics:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "_inQQiloPAuF",
        "outputId": "b5a580b9-b55f-4974-e642-92db6e7fcdfe",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Absolute percentage improvement of INSTRUCT MODEL over ORIGINAL MODEL\n",
            "rouge1: 18.82%\n",
            "rouge2: 10.43%\n",
            "rougeL: 13.70%\n",
            "rougeLsum: 13.69%\n"
          ]
        }
      ],
      "source": [
        "print(\"Absolute percentage improvement of INSTRUCT MODEL over ORIGINAL MODEL\")\n",
        "\n",
        "improvement = (np.array(list(instruct_model_results.values())) - np.array(list(original_model_results.values())))\n",
        "for key, value in zip(instruct_model_results.keys(), improvement):\n",
        "    print(f'{key}: {value*100:.2f}%')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4FuMglfvPAuF"
      },
      "source": [
        "## 3 - Perform Parameter Efficient Fine-Tuning (PEFT)\n",
        "\n",
        "Now, let's perform **Parameter Efficient Fine-Tuning (PEFT)** fine-tuning as opposed to \"full fine-tuning\" as we did above. PEFT is a form of instruction fine-tuning that is much more efficient than full fine-tuning - with comparable evaluation results.\n",
        "\n",
        "PEFT is a generic term that includes **Low-Rank Adaptation (LoRA)** and prompt tuning (which is NOT THE SAME as prompt engineering!).\n",
        "\n",
        "In LoRA we freeze the LLMs weights and inject 2 rank decomposition matrices and only train weights of these smaller matrices. The key aspect here is to choose a rank, r for both of the matrices to perform matrix multiplication. The result of the matmul should be a new matrix with dimensions equal to the `weight` matrix of the LLM. Finally, during inference, the resultant matrix is added to the original weights.\n",
        "![LoRA.png](data:image/png;base64,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)\n",
        "\n",
        "\n",
        "\n",
        "LoRA, at a very high level, allows the user to fine-tune their model using fewer compute resources (in some cases, a single GPU). After fine-tuning for a specific task, use case, or tenant with LoRA, the result is that the original LLM remains unchanged and a newly-trained “LoRA adapter” emerges. This LoRA adapter is much, much smaller than the original LLM - on the order of a single-digit % of the original LLM size (MBs vs GBs).  \n",
        "\n",
        "That said, at inference time, the LoRA adapter needs to be reunited and combined with its original LLM to serve the inference request.  The benefit, however, is that many LoRA adapters can re-use the original LLM which reduces overall memory requirements when serving multiple tasks and use cases."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mDD46eW-PAuG"
      },
      "source": [
        "### 3.1 - Setup the PEFT/LoRA model for Fine-Tuning\n",
        "\n",
        "We need to set up the PEFT/LoRA model for fine-tuning with a new layer/parameter adapter. Using PEFT/LoRA, we are freezing the underlying LLM and only training the adapter with the following LoRA configuration below. The rank (`r`) hyper-parameter, which defines the rank/dimension of the adapter to be trained (as discussed above)."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "As we can notice that higher r values doesn't guarantee better performance (Validation loss with respect to the different r values). However, recommended range is from 8 to 64.\n",
        "\n",
        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)"
      ],
      "metadata": {
        "id": "jxxLU7Vpk8AS"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "HKYFduG4PAuG"
      },
      "outputs": [],
      "source": [
        "from peft import LoraConfig, get_peft_model, TaskType\n",
        "\n",
        "lora_config = LoraConfig(\n",
        "    r=32, # Rank\n",
        "    lora_alpha=32,\n",
        "    target_modules=[\"q\", \"v\"],\n",
        "    lora_dropout=0.05,\n",
        "    bias=\"none\",\n",
        "    task_type=TaskType.SEQ_2_SEQ_LM # FLAN-T5\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "OmeJXQEOPAuH"
      },
      "source": [
        "Add LoRA adapter layers/parameters to the original LLM to be trained."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "HEYK1s8EPAuH",
        "outputId": "b06fea88-272b-497e-8c58-330ded3a98cd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "trainable model parameters: 3538944\n",
            "all model parameters: 251116800\n",
            "percentage of trainable model parameters: 1.41%\n"
          ]
        }
      ],
      "source": [
        "peft_model = get_peft_model(original_model,\n",
        "                            lora_config)\n",
        "print(print_number_of_trainable_model_parameters(peft_model))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "cIAK4Yc3PAuI"
      },
      "source": [
        "### 3.2 - Train PEFT Adapter\n",
        "\n",
        "Define training arguments and create `Trainer` instance."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "RfnCowi4PAuI"
      },
      "outputs": [],
      "source": [
        "output_dir = f'./peft-dialogue-summary-training-{str(int(time.time()))}'\n",
        "\n",
        "peft_training_args = TrainingArguments(\n",
        "    output_dir=output_dir,\n",
        "    auto_find_batch_size=True,\n",
        "    learning_rate=1e-3, # Higher learning rate than full fine-tuning.\n",
        "    num_train_epochs=1,\n",
        "    logging_steps=1,\n",
        "    max_steps=1\n",
        ")\n",
        "\n",
        "peft_trainer = Trainer(\n",
        "    model=peft_model,\n",
        "    args=peft_training_args,\n",
        "    train_dataset=tokenized_datasets[\"train\"],\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "gbpx-kxmPAuI",
        "outputId": "e93eb14e-4c3e-4021-cf09-c47193eabe4c"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/opt/conda/lib/python3.10/site-packages/transformers/optimization.py:391: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "\n",
              "    <div>\n",
              "      \n",
              "      <progress value='1' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [1/1 00:00, Epoch 0/1]\n",
              "    </div>\n",
              "    <table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              " <tr style=\"text-align: left;\">\n",
              "      <th>Step</th>\n",
              "      <th>Training Loss</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>51.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><p>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/plain": [
              "('./peft-dialogue-summary-checkpoint-local/tokenizer_config.json',\n",
              " './peft-dialogue-summary-checkpoint-local/special_tokens_map.json',\n",
              " './peft-dialogue-summary-checkpoint-local/tokenizer.json')"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "peft_trainer.train()\n",
        "\n",
        "peft_model_path=\"./peft-dialogue-summary-checkpoint-local\"\n",
        "\n",
        "peft_trainer.model.save_pretrained(peft_model_path)\n",
        "tokenizer.save_pretrained(peft_model_path)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "Y0hZpXSDPAuJ"
      },
      "source": [
        "Load a fully trained PEFT model, previously trained on the full dataset on AWS SageMaker. Downloading the checkpoint of a PEFT model from the gdirve."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vroioH90PAuJ",
        "outputId": "c4990929-19c3-4382-92a7-f2a937a6e151"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Retrieving folder contents\n",
            "Processing file 1afWEZxC8smZa3tKO2gGN8WgR96vq4B2i adapter_config.json\n",
            "Processing file 1r2OzTXJKLYssJrzMKBefPsjFv9K7tGm7 adapter_model.bin\n",
            "Processing file 1kNsQX0FFFHXVY1mUvQENR_9TeaBgxsdN special_tokens_map.json\n",
            "Processing file 1d2gGWcOJ8VstttTTK1-m10vxhngls0qO tokenizer_config.json\n",
            "Processing file 1QVN9qDB2P4NzhJurL2gmzU9pJ87rG7rY tokenizer.json\n",
            "Retrieving folder contents completed\n",
            "Building directory structure\n",
            "Building directory structure completed\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1afWEZxC8smZa3tKO2gGN8WgR96vq4B2i\n",
            "To: /content/peft-dialogue-summary-checkpoint-from-gdrive/adapter_config.json\n",
            "100% 334/334 [00:00<00:00, 1.05MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1r2OzTXJKLYssJrzMKBefPsjFv9K7tGm7\n",
            "To: /content/peft-dialogue-summary-checkpoint-from-gdrive/adapter_model.bin\n",
            "100% 14.2M/14.2M [00:00<00:00, 25.8MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1kNsQX0FFFHXVY1mUvQENR_9TeaBgxsdN\n",
            "To: /content/peft-dialogue-summary-checkpoint-from-gdrive/special_tokens_map.json\n",
            "100% 2.20k/2.20k [00:00<00:00, 7.52MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1d2gGWcOJ8VstttTTK1-m10vxhngls0qO\n",
            "To: /content/peft-dialogue-summary-checkpoint-from-gdrive/tokenizer_config.json\n",
            "100% 2.50k/2.50k [00:00<00:00, 11.6MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1QVN9qDB2P4NzhJurL2gmzU9pJ87rG7rY\n",
            "To: /content/peft-dialogue-summary-checkpoint-from-gdrive/tokenizer.json\n",
            "100% 2.42M/2.42M [00:00<00:00, 111MB/s]\n",
            "Download completed\n"
          ]
        }
      ],
      "source": [
        "!gdown --folder 1yULjubFpApAEi5yegV8jqOUyehGWYdvb"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "Svq303VQPAuK"
      },
      "source": [
        "Check the size of this model which is much less than the original LLM:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "_o9OKsMnPAuK",
        "outputId": "b31eaa6e-1411-474b-a254-5657b3bba783",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "-rw-r--r-- 1 root root 14208525 May 22 10:38 ./peft-dialogue-summary-checkpoint-from-gdrive/adapter_model.bin\n"
          ]
        }
      ],
      "source": [
        "!ls -al ./peft-dialogue-summary-checkpoint-from-gdrive/adapter_model.bin"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "S_WdGqMYPAuK"
      },
      "source": [
        "Prepare this model by adding an adapter to the original FLAN-T5 model. Here, we are setting `is_trainable=False` because the plan is only to perform inference with this PEFT model. If further training is required then we can set `is_trainable=True`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "uWB1o_8qPAuL"
      },
      "outputs": [],
      "source": [
        "from peft import PeftModel, PeftConfig\n",
        "\n",
        "peft_model_base = AutoModelForSeq2SeqLM.from_pretrained(\"google/flan-t5-base\", torch_dtype=torch.bfloat16)\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"google/flan-t5-base\")\n",
        "\n",
        "peft_model = PeftModel.from_pretrained(peft_model_base,\n",
        "                                       './peft-dialogue-summary-checkpoint-from-gdrive/',\n",
        "                                       torch_dtype=torch.bfloat16,\n",
        "                                       is_trainable=False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [],
        "id": "FycKHExKPAuL"
      },
      "source": [
        "The number of trainable parameters will be `0` due to `is_trainable=False` setting:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "NlvB8zQLPAuL",
        "outputId": "689f1896-2d08-4177-f47b-a48c3c5fc2f6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "trainable model parameters: 0\n",
            "all model parameters: 251116800\n",
            "percentage of trainable model parameters: 0.00%\n"
          ]
        }
      ],
      "source": [
        "print(print_number_of_trainable_model_parameters(peft_model))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JrO7hGkWPAuM"
      },
      "source": [
        "### 3.3 - Evaluate the Model Qualitatively (Human Evaluation)\n",
        "\n",
        "Make inferences for the same example as in above sections with the original model, fully fine-tuned and PEFT model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "ckRFiTPdPAuM",
        "outputId": "9e02981c-ff65-4146-f422-ef35ab720929",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "---------------------------------------------------------------------------------------------------\n",
            "BASELINE HUMAN SUMMARY:\n",
            "#Person1# teaches #Person2# how to upgrade software and hardware in #Person2#'s system.\n",
            "---------------------------------------------------------------------------------------------------\n",
            "ORIGINAL MODEL:\n",
            "#Person1#: I'm thinking of upgrading my computer.\n",
            "---------------------------------------------------------------------------------------------------\n",
            "INSTRUCT MODEL:\n",
            "#Person1# suggests #Person2# upgrading #Person2#'s system, hardware, and CD-ROM drive. #Person2# thinks it's great.\n",
            "---------------------------------------------------------------------------------------------------\n",
            "PEFT MODEL: #Person1# recommends adding a painting program to #Person2#'s software and upgrading hardware. #Person2# also wants to upgrade the hardware because it's outdated now.\n"
          ]
        }
      ],
      "source": [
        "index = 200\n",
        "dialogue = dataset['test'][index]['dialogue']\n",
        "baseline_human_summary = dataset['test'][index]['summary']\n",
        "\n",
        "prompt = f\"\"\"\n",
        "Summarize the following conversation.\n",
        "\n",
        "{dialogue}\n",
        "\n",
        "Summary: \"\"\"\n",
        "\n",
        "input_ids = tokenizer(prompt, return_tensors=\"pt\").input_ids\n",
        "\n",
        "original_model_outputs = original_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200, num_beams=1))\n",
        "original_model_text_output = tokenizer.decode(original_model_outputs[0], skip_special_tokens=True)\n",
        "\n",
        "instruct_model_outputs = instruct_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200, num_beams=1))\n",
        "instruct_model_text_output = tokenizer.decode(instruct_model_outputs[0], skip_special_tokens=True)\n",
        "\n",
        "peft_model_outputs = peft_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200, num_beams=1))\n",
        "peft_model_text_output = tokenizer.decode(peft_model_outputs[0], skip_special_tokens=True)\n",
        "\n",
        "print(dash_line)\n",
        "print(f'BASELINE HUMAN SUMMARY:\\n{human_baseline_summary}')\n",
        "print(dash_line)\n",
        "print(f'ORIGINAL MODEL:\\n{original_model_text_output}')\n",
        "print(dash_line)\n",
        "print(f'INSTRUCT MODEL:\\n{instruct_model_text_output}')\n",
        "print(dash_line)\n",
        "print(f'PEFT MODEL: {peft_model_text_output}')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Cga_1UsdPAuN"
      },
      "source": [
        "### 3.4 - Evaluate the Model Quantitatively (with ROUGE Metric)\n",
        "Perform inferences for the sample of the test dataset (only 10 dialogues and summaries to save time)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "WJ0quRlhPAuN",
        "outputId": "72267369-79c0-4d8b-8d9d-872454032233",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 484
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                            human_baseline_summaries  \\\n",
              "0  Ms. Dawson helps #Person1# to write a memo to ...   \n",
              "1  In order to prevent employees from wasting tim...   \n",
              "2  Ms. Dawson takes a dictation for #Person1# abo...   \n",
              "3  #Person2# arrives late because of traffic jam....   \n",
              "4  #Person2# decides to follow #Person1#'s sugges...   \n",
              "5  #Person2# complains to #Person1# about the tra...   \n",
              "6  #Person1# tells Kate that Masha and Hero get d...   \n",
              "7  #Person1# tells Kate that Masha and Hero are g...   \n",
              "8  #Person1# and Kate talk about the divorce betw...   \n",
              "9  #Person1# and Brian are at the birthday party ...   \n",
              "\n",
              "                            original_model_summaries  \\\n",
              "0     #Person1#: I need to take a dictation for you.   \n",
              "1     #Person1#: I need to take a dictation for you.   \n",
              "2     #Person1#: I need to take a dictation for you.   \n",
              "3  The traffic jam at the Carrefour intersection ...   \n",
              "4  The traffic jam at the Carrefour intersection ...   \n",
              "5  The traffic jam at the Carrefour intersection ...   \n",
              "6               Masha and Hero are getting divorced.   \n",
              "7               Masha and Hero are getting divorced.   \n",
              "8               Masha and Hero are getting divorced.   \n",
              "9  #Person1#: Happy birthday, Brian. #Person2#: I...   \n",
              "\n",
              "                            instruct_model_summaries  \\\n",
              "0  #Person1# asks Ms. Dawson to take a dictation ...   \n",
              "1  #Person1# asks Ms. Dawson to take a dictation ...   \n",
              "2  #Person1# asks Ms. Dawson to take a dictation ...   \n",
              "3  #Person2# got stuck in traffic again. #Person1...   \n",
              "4  #Person2# got stuck in traffic again. #Person1...   \n",
              "5  #Person2# got stuck in traffic again. #Person1...   \n",
              "6  Masha and Hero are getting divorced. Kate can'...   \n",
              "7  Masha and Hero are getting divorced. Kate can'...   \n",
              "8  Masha and Hero are getting divorced. Kate can'...   \n",
              "9  Brian's birthday is coming. #Person1# invites ...   \n",
              "\n",
              "                                peft_model_summaries  \n",
              "0  #Person1# asks Ms. Dawson to take a dictation ...  \n",
              "1  #Person1# asks Ms. Dawson to take a dictation ...  \n",
              "2  #Person1# asks Ms. Dawson to take a dictation ...  \n",
              "3  #Person2# got stuck in traffic and #Person1# s...  \n",
              "4  #Person2# got stuck in traffic and #Person1# s...  \n",
              "5  #Person2# got stuck in traffic and #Person1# s...  \n",
              "6  Kate tells #Person2# Masha and Hero are gettin...  \n",
              "7  Kate tells #Person2# Masha and Hero are gettin...  \n",
              "8  Kate tells #Person2# Masha and Hero are gettin...  \n",
              "9  Brian remembers his birthday and invites #Pers...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6b5ee0d4-6928-4a82-92e8-0d775aceba3d\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>human_baseline_summaries</th>\n",
              "      <th>original_model_summaries</th>\n",
              "      <th>instruct_model_summaries</th>\n",
              "      <th>peft_model_summaries</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ms. Dawson helps #Person1# to write a memo to ...</td>\n",
              "      <td>#Person1#: I need to take a dictation for you.</td>\n",
              "      <td>#Person1# asks Ms. Dawson to take a dictation ...</td>\n",
              "      <td>#Person1# asks Ms. Dawson to take a dictation ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>In order to prevent employees from wasting tim...</td>\n",
              "      <td>#Person1#: I need to take a dictation for you.</td>\n",
              "      <td>#Person1# asks Ms. Dawson to take a dictation ...</td>\n",
              "      <td>#Person1# asks Ms. Dawson to take a dictation ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Ms. Dawson takes a dictation for #Person1# abo...</td>\n",
              "      <td>#Person1#: I need to take a dictation for you.</td>\n",
              "      <td>#Person1# asks Ms. Dawson to take a dictation ...</td>\n",
              "      <td>#Person1# asks Ms. Dawson to take a dictation ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>#Person2# arrives late because of traffic jam....</td>\n",
              "      <td>The traffic jam at the Carrefour intersection ...</td>\n",
              "      <td>#Person2# got stuck in traffic again. #Person1...</td>\n",
              "      <td>#Person2# got stuck in traffic and #Person1# s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>#Person2# decides to follow #Person1#'s sugges...</td>\n",
              "      <td>The traffic jam at the Carrefour intersection ...</td>\n",
              "      <td>#Person2# got stuck in traffic again. #Person1...</td>\n",
              "      <td>#Person2# got stuck in traffic and #Person1# s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>#Person2# complains to #Person1# about the tra...</td>\n",
              "      <td>The traffic jam at the Carrefour intersection ...</td>\n",
              "      <td>#Person2# got stuck in traffic again. #Person1...</td>\n",
              "      <td>#Person2# got stuck in traffic and #Person1# s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>#Person1# tells Kate that Masha and Hero get d...</td>\n",
              "      <td>Masha and Hero are getting divorced.</td>\n",
              "      <td>Masha and Hero are getting divorced. Kate can'...</td>\n",
              "      <td>Kate tells #Person2# Masha and Hero are gettin...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>#Person1# tells Kate that Masha and Hero are g...</td>\n",
              "      <td>Masha and Hero are getting divorced.</td>\n",
              "      <td>Masha and Hero are getting divorced. Kate can'...</td>\n",
              "      <td>Kate tells #Person2# Masha and Hero are gettin...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>#Person1# and Kate talk about the divorce betw...</td>\n",
              "      <td>Masha and Hero are getting divorced.</td>\n",
              "      <td>Masha and Hero are getting divorced. Kate can'...</td>\n",
              "      <td>Kate tells #Person2# Masha and Hero are gettin...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>#Person1# and Brian are at the birthday party ...</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"human_baseline_summaries\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"#Person1# and Kate talk about the divorce between Masha and Hero. Kate feels surprised because she thought they are well matched\",\n          \"In order to prevent employees from wasting time on Instant Message programs, #Person1# decides to terminate the use of those programs and asks Ms. Dawson to send out a memo to all employees by the afternoon.\",\n          \"#Person2# complains to #Person1# about the traffic jam, #Person1# suggests quitting driving and taking public transportation instead.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_model_summaries\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"The traffic jam at the Carrefour intersection is a problem.\",\n          \"#Person1#: Happy birthday, Brian. #Person2#: I'm so happy you're having a good time. #Person1#: Thank you, I'm sure you look great today. #Person2#: Thank you, I'm sure you look great. #Person1#: Thank you, I'm sure you look great today. #Person2#: Thank you, I'm sure you look great today. #Person1#: Thank you, I'm sure you look great today. #Person2#: Thank you, I'm sure you look great today. #Person1#: Thank you, I'm sure you look great today.\",\n          \"#Person1#: I need to take a dictation for you.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"instruct_model_summaries\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"#Person2# got stuck in traffic again. #Person1# suggests #Person2# start taking public transport system to work and suggests #Person2# start biking to work when it's nicer outside. #Person2# agrees.\",\n          \"Brian's birthday is coming. #Person1# invites Brian to have a dance and Brian compliments #Person1#'s looks. Brian thinks #Person1# looks great and invites #Person1# to have a drink together.\",\n          \"#Person1# asks Ms. Dawson to take a dictation to all employees by this afternoon. Ms. Dawson tells #Person1# all office communications are restricted to email correspondence and official memos and the use of Instant Message programs by employees during working hours is strictly prohibited. #Person1# wants to change the communication methods and Ms. Dawson tells #Person1# it applies to internal and external communications.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"peft_model_summaries\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"#Person2# got stuck in traffic and #Person1# suggests #Person2# start taking public transport system to work. #Person2# thinks it's better for the environment and #Person2# will miss having freedom with a car. #Person1# suggests biking to work when it's nicer outside.\",\n          \"Brian remembers his birthday and invites #Person1# to the party. Brian is popular with everyone and looks pretty today. #Person1# and Brian will have a drink together to celebrate Brian's birthday.\",\n          \"#Person1# asks Ms. Dawson to take a dictation to all employees by this afternoon. Ms. Dawson tells #Person1# that all office communications are restricted to email correspondence and official memos. #Person1# wants to change the communication methods and asks Ms. Dawson to get the memo typed up and distributed to all employees before 4 pm.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 53
        }
      ],
      "source": [
        "dialogues = dataset['test'][0:10]['dialogue']\n",
        "human_baseline_summaries = dataset['test'][0:10]['summary']\n",
        "\n",
        "original_model_summaries = []\n",
        "instruct_model_summaries = []\n",
        "peft_model_summaries = []\n",
        "\n",
        "for idx, dialogue in enumerate(dialogues):\n",
        "    prompt = f\"\"\"\n",
        "Summarize the following conversation.\n",
        "\n",
        "{dialogue}\n",
        "\n",
        "Summary: \"\"\"\n",
        "\n",
        "    input_ids = tokenizer(prompt, return_tensors=\"pt\").input_ids\n",
        "\n",
        "    human_baseline_text_output = human_baseline_summaries[idx]\n",
        "\n",
        "    original_model_outputs = original_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200))\n",
        "    original_model_text_output = tokenizer.decode(original_model_outputs[0], skip_special_tokens=True)\n",
        "\n",
        "    instruct_model_outputs = instruct_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200))\n",
        "    instruct_model_text_output = tokenizer.decode(instruct_model_outputs[0], skip_special_tokens=True)\n",
        "\n",
        "    peft_model_outputs = peft_model.generate(input_ids=input_ids, generation_config=GenerationConfig(max_new_tokens=200))\n",
        "    peft_model_text_output = tokenizer.decode(peft_model_outputs[0], skip_special_tokens=True)\n",
        "\n",
        "    original_model_summaries.append(original_model_text_output)\n",
        "    instruct_model_summaries.append(instruct_model_text_output)\n",
        "    peft_model_summaries.append(peft_model_text_output)\n",
        "\n",
        "zipped_summaries = list(zip(human_baseline_summaries, original_model_summaries, instruct_model_summaries, peft_model_summaries))\n",
        "\n",
        "df = pd.DataFrame(zipped_summaries, columns = ['human_baseline_summaries', 'original_model_summaries', 'instruct_model_summaries', 'peft_model_summaries'])\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "QfDDGBy9PAuO",
        "outputId": "de998e49-d8f5-47a1-fdbb-a1491355806b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ORIGINAL MODEL:\n",
            "{'rouge1': 0.24089921652421653, 'rouge2': 0.11769053708439897, 'rougeL': 0.22001958689458687, 'rougeLsum': 0.22134175465057818}\n",
            "INSTRUCT MODEL:\n",
            "{'rouge1': 0.41026607717457186, 'rouge2': 0.17840645241958838, 'rougeL': 0.2977022096267017, 'rougeLsum': 0.2987374187518165}\n",
            "PEFT MODEL:\n",
            "{'rouge1': 0.3725351062275605, 'rouge2': 0.12138811933618107, 'rougeL': 0.27620639623170606, 'rougeLsum': 0.2758134870822362}\n"
          ]
        }
      ],
      "source": [
        "rouge = evaluate.load('rouge')\n",
        "\n",
        "original_model_results = rouge.compute(\n",
        "    predictions=original_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(original_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "instruct_model_results = rouge.compute(\n",
        "    predictions=instruct_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(instruct_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "peft_model_results = rouge.compute(\n",
        "    predictions=peft_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(peft_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "print('ORIGINAL MODEL:')\n",
        "print(original_model_results)\n",
        "print('INSTRUCT MODEL:')\n",
        "print(instruct_model_results)\n",
        "print('PEFT MODEL:')\n",
        "print(peft_model_results)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c4hWxAAUPAuO"
      },
      "source": [
        "Notice, that PEFT model results are not too bad, while the training process was much easier!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e1qrbBrCPAuO"
      },
      "source": [
        "We have already computed ROUGE score on the full dataset, after loading the results from the `dialogue-summary-training-results.csv` file. Now, we can load the values for the PEFT model now and check its performance compared to other models."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "QE3RRD9KPAuP",
        "outputId": "f01dec56-b31f-4020-c9a4-50cc0394b869",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ORIGINAL MODEL:\n",
            "{'rouge1': 0.2334158581572823, 'rouge2': 0.07603964187010573, 'rougeL': 0.20145520923859048, 'rougeLsum': 0.20145899339006135}\n",
            "INSTRUCT MODEL:\n",
            "{'rouge1': 0.42161291557556113, 'rouge2': 0.18035380596301792, 'rougeL': 0.3384439349963909, 'rougeLsum': 0.33835653595561666}\n",
            "PEFT MODEL:\n",
            "{'rouge1': 0.40810631575616746, 'rouge2': 0.1633255794568712, 'rougeL': 0.32507074586565354, 'rougeLsum': 0.3248950182867091}\n"
          ]
        }
      ],
      "source": [
        "human_baseline_summaries = results['human_baseline_summaries'].values\n",
        "original_model_summaries = results['original_model_summaries'].values\n",
        "instruct_model_summaries = results['instruct_model_summaries'].values\n",
        "peft_model_summaries     = results['peft_model_summaries'].values\n",
        "\n",
        "original_model_results = rouge.compute(\n",
        "    predictions=original_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(original_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "instruct_model_results = rouge.compute(\n",
        "    predictions=instruct_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(instruct_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "peft_model_results = rouge.compute(\n",
        "    predictions=peft_model_summaries,\n",
        "    references=human_baseline_summaries[0:len(peft_model_summaries)],\n",
        "    use_aggregator=True,\n",
        "    use_stemmer=True,\n",
        ")\n",
        "\n",
        "print('ORIGINAL MODEL:')\n",
        "print(original_model_results)\n",
        "print('INSTRUCT MODEL:')\n",
        "print(instruct_model_results)\n",
        "print('PEFT MODEL:')\n",
        "print(peft_model_results)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f5k46QMHPAuQ"
      },
      "source": [
        "The results show less of an improvement over full fine-tuning, but the benefits of PEFT typically outweigh the slightly-lower performance metrics.\n",
        "\n",
        "Calculate the improvement of PEFT over the original model:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "FtrJarrIPAuQ",
        "outputId": "0d1e5492-45f2-43d0-d3c4-51ba96d7644d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Absolute percentage improvement of PEFT MODEL over ORIGINAL MODEL\n",
            "rouge1: 17.47%\n",
            "rouge2: 8.73%\n",
            "rougeL: 12.36%\n",
            "rougeLsum: 12.34%\n"
          ]
        }
      ],
      "source": [
        "print(\"Absolute percentage improvement of PEFT MODEL over ORIGINAL MODEL\")\n",
        "\n",
        "improvement = (np.array(list(peft_model_results.values())) - np.array(list(original_model_results.values())))\n",
        "for key, value in zip(peft_model_results.keys(), improvement):\n",
        "    print(f'{key}: {value*100:.2f}%')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kIC0S7U_PAuR"
      },
      "source": [
        "Now calculate the improvement of PEFT over a full fine-tuned model:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [],
        "id": "DeG4smNLPAuR",
        "outputId": "cd67dde7-9e37-4e07-b105-ac2fcee7f52f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Absolute percentage improvement of PEFT MODEL over INSTRUCT MODEL\n",
            "rouge1: -1.35%\n",
            "rouge2: -1.70%\n",
            "rougeL: -1.34%\n",
            "rougeLsum: -1.35%\n"
          ]
        }
      ],
      "source": [
        "print(\"Absolute percentage improvement of PEFT MODEL over INSTRUCT MODEL\")\n",
        "\n",
        "improvement = (np.array(list(peft_model_results.values())) - np.array(list(instruct_model_results.values())))\n",
        "for key, value in zip(peft_model_results.keys(), improvement):\n",
        "    print(f'{key}: {value*100:.2f}%')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UVCPTwtKPAuR"
      },
      "source": [
        "**Here** we can observe a small percentage decrease in the ROUGE metrics vs. full fine-tuned. However, the training requires much less computing and memory resources (often just a single GPU)."
      ]
    }
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